From 1c73859c16294a21f6da4ff6fd0b6e9255142250 Mon Sep 17 00:00:00 2001
From: Ernest French <ernestfrench@gmail.com>
Date: Sun, 20 Oct 2024 14:10:39 -0700
Subject: [PATCH 01/78] Update readme.md

---
 readme.md | 28 +++++++++++++++++++++++++++-
 1 file changed, 27 insertions(+), 1 deletion(-)

diff --git a/readme.md b/readme.md
index 589cdd7..6f9a3f6 100644
--- a/readme.md
+++ b/readme.md
@@ -1,4 +1,30 @@
-# Multi image client.  APIClients for BFL (Black Forest Lab), Ideogram, and Dalle3 (copied)
+# MultiImageClient
+
+## It lets you compose a bunch of image generation steps like randomize prompt,add styles etc, and then run them through BFL/Flux, Ideogram or De3.
+
+example:
+
+"a cat" =(randomizer step)=> "a cat, weather conditions: sleet, location: intergalactic crossroads" =(claude rewrite: dear claude, please put this in terms an insane medieval hierophant would use, emitting 100 obscure words)> '<insane prompt>' =(BFL Labs image generation)>
+
+![image](https://github.com/user-attachments/assets/60bf7179-4f4b-4486-a74c-2142fd6a6916)
+
+## how to use it
+
+You do need to be able to run C# code. I use Visual Studio 2022 (NOT visual studio code) to do this. Once you download it, get it to build.
+
+Then, experiment with modifying multiImageClient/Program.cs to do different runs.
+
+There are various ways to customize your runs, from:
+* programmatically generating prompts and manipulating them
+* iterating through a bunch of prompts from a list
+* etc.
+
+## Future
+
+I will add image2text steps, and other text rewrite steps (hopefully cheaper & more open than claude's current setup).
+ 
+
+# Multi image client.  APIClients for BFL (Black Forest Lab), Ideogram, and Dalle3 (copied)
 
 ## The program controls "runs" against those endpoints
 

From c04eb0f91b9d3f7762155825d93c5ccd5dc0204f Mon Sep 17 00:00:00 2001
From: Ernest French <ernestfrench@gmail.com>
Date: Sun, 20 Oct 2024 14:12:16 -0700
Subject: [PATCH 02/78] Update readme.md

---
 readme.md | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/readme.md b/readme.md
index 6f9a3f6..f33ff0c 100644
--- a/readme.md
+++ b/readme.md
@@ -19,6 +19,15 @@ There are various ways to customize your runs, from:
 * iterating through a bunch of prompts from a list
 * etc.
 
+# Gallery
+
+If you haven't tried BFL/Flux, you should. It's really, really good. Way better than De3.
+* Much much better composition
+* 2x as many pixels
+* Not quite as good at text as ideogram.
+* But in other ways they also are clearly better than ideogram 2, also.
+* See this gallery: https://photos.app.goo.gl/baJNz9SWX1fq1tT77
+
 ## Future
 
 I will add image2text steps, and other text rewrite steps (hopefully cheaper & more open than claude's current setup).

From 5ddc833934ba6551dcda34ad220a9318119cd258 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 20 Oct 2024 14:23:04 -0700
Subject: [PATCH 03/78] fix importsa

---
 IdeogramHistoryExtractor                      |  1 +
 .../Implementation/AbstractPromptGenerator.cs |  2 +-
 .../Implementation/IImageGenerationService.cs |  2 +-
 .../Implementation/IImageGenerator.cs         |  2 +-
 .../Implementation/ITransformationStep.cs     |  2 +-
 MultiImageClient/Program.cs                   | 40 +++++++++----------
 MultiImageClient/Services/BFLService.cs       |  2 +-
 MultiImageClient/Services/Dalle3Service.cs    |  2 +-
 MultiImageClient/Services/IdeogramService.cs  |  1 -
 .../imageGenerators/AbstractImageGenerator.cs |  1 -
 .../imageGenerators/BFLGenerator.cs           |  1 -
 .../imageGenerators/Dalle3Generator.cs        |  3 +-
 .../imageGenerators/IdeogramGenerator.cs      |  1 -
 .../imageGenerators/LoadFromFile.cs           |  1 -
 .../promptGenerators/DeckOfCards.cs           |  2 +-
 .../SinglePromptGenerator.cs                  |  2 +-
 .../promptGenerators/WriteHere.cs             |  2 +-
 .../promptTransformation/ClaudeRewriteStep.cs |  2 +-
 .../ManualModificationStep.cs                 |  1 -
 .../promptTransformation/RandomizerStep.cs    |  3 +-
 .../promptTransformation/StylizerStep.cs      |  2 +-
 21 files changed, 33 insertions(+), 42 deletions(-)
 create mode 160000 IdeogramHistoryExtractor
 rename MultiImageClient/{imageGenerators => promptGenerators}/SinglePromptGenerator.cs (98%)

diff --git a/IdeogramHistoryExtractor b/IdeogramHistoryExtractor
new file mode 160000
index 0000000..43a6620
--- /dev/null
+++ b/IdeogramHistoryExtractor
@@ -0,0 +1 @@
+Subproject commit 43a6620f83b9dc27e32400247b863b1cef8a92a5
diff --git a/MultiImageClient/Implementation/AbstractPromptGenerator.cs b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
index 0a57ab3..1ba8e9d 100644
--- a/MultiImageClient/Implementation/AbstractPromptGenerator.cs
+++ b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
@@ -3,7 +3,7 @@
 using System.Linq;
 using System.Reflection.Emit;
 
-namespace MultiImageClient.Implementation
+namespace MultiImageClient
 {
     /// <summary>
     /// generate as much as you can of the prompt in here.
diff --git a/MultiImageClient/Implementation/IImageGenerationService.cs b/MultiImageClient/Implementation/IImageGenerationService.cs
index 3a63cac..3f3fe22 100644
--- a/MultiImageClient/Implementation/IImageGenerationService.cs
+++ b/MultiImageClient/Implementation/IImageGenerationService.cs
@@ -1,6 +1,6 @@
 using System.Threading.Tasks;
 
-namespace MultiImageClient.Implementation
+namespace MultiImageClient
 {
     public interface IImageGenerationService
     {
diff --git a/MultiImageClient/Implementation/IImageGenerator.cs b/MultiImageClient/Implementation/IImageGenerator.cs
index 33c360a..601ae63 100644
--- a/MultiImageClient/Implementation/IImageGenerator.cs
+++ b/MultiImageClient/Implementation/IImageGenerator.cs
@@ -4,7 +4,7 @@
 using System.Text;
 using System.Threading.Tasks;
 
-namespace MultiImageClient.Implementation
+namespace MultiImageClient
 {
     public interface IImageGenerator
     {
diff --git a/MultiImageClient/Implementation/ITransformationStep.cs b/MultiImageClient/Implementation/ITransformationStep.cs
index e15310e..dbf6979 100644
--- a/MultiImageClient/Implementation/ITransformationStep.cs
+++ b/MultiImageClient/Implementation/ITransformationStep.cs
@@ -1,6 +1,6 @@
 using System.Threading.Tasks;
 
-namespace MultiImageClient.Implementation
+namespace MultiImageClient
 {
     public interface ITransformationStep
     {
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 4a70403..08154f9 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -15,8 +15,6 @@
 using System.Xml.Linq;
 using System.Xml;
 using System.Security.Cryptography.X509Certificates;
-using MultiImageClient.promptTransformation;
-using MultiImageClient.Implementation;
 
 namespace MultiImageClient
 {
@@ -45,42 +43,42 @@ static async Task Main(string[] args)
 
             // here is where you have a choice. Super specific stuff like managing a run with repeats, targets etc can be controlled
             // with specific classes which inherit from AbstractPromptGenerator. e.g. DeckOfCards
-            var basePromptGenerator = new LoadFromFile(settings, "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt");
+            //var basePromptGenerator = new LoadFromFile(settings, "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt");
             //var basePromptGenerator = new WriteHere(settings);
-            var stats = new MultiClientRunStats();
-            var processingTasks = new List<Task>();
-
             var steps = new List<ITransformationStep>();
 
-            //var llamaRewriteStep = new LLAMARewriteStep("Rewrite this, adding details: ","Output 100 words of clear, simple text, describing an image which you imagine in detail.",llamaService);
-            //steps.Add(llamaRewriteStep);
+            var stats = new MultiClientRunStats();
+            var processingTasks = new List<Task>();
 
+            var basePromptGenerator = new SinglePromptGenerator(new List<string>() { "A partially hidden cat who is more than he seems, trying to save humanity during a sudden disaster." }, 10, 4, 100, settings);
             var rstep = new RandomizerStep();
             steps.Add(rstep);
 
-            //var claudeStep = new ClaudeRewriteStep("", "Expand the preceding INPUT data with unusual but fitting obscure, archiac, poetic, punning words which still focus on the ultimate goal, to elucidate new, created-by-you, well-chosen details on her style, beliefs, life, heart, mind, soul, appearance, and habits, to produce a hyper-ULTRA-condensed prose output which still encapsulates [mystery-universe-gaia-purity-edge-tao] in all wonder, while retaining a thrilling environment, glitchcore, unspoken musings of null-thought, arcana, jargon, mumbled transliterations of mega-negative dimensional thought space and poetry CONCRETE illustration style. DO IT.  ALSO: you must emit MANY words and arrange them in a beautiful ASCII ART style of width 50 characters.", claudeService, 1.0m);
-            //steps.Add(claudeStep);
-
-            var claudeStep = new ClaudeRewriteStep("", "Draw this making it full of many details, into a specific, news-paper photography style description of an image, most important and largest elements first as well as textures, colors, styles, then going into super details about the rest of it, which you should create to make the visual effect intense, interesting, and exceptional. Generate MANY words such as 500 or even 600, and then add a caption/title in the form of a beautiful ASCII ART style of width 50 characters. Our overall theme is purity, simplicity, natural forms, SATISFYING images that are fun to look at;", claudeService, 1.0m);
+            var claudeStep = new ClaudeRewriteStep("dear claude, please put this in terms an insane medieval hierophant would use, emitting 100 obscure words)", "", claudeService, 0.9m);
             steps.Add(claudeStep);
 
+            var stylizerStep = new StylizerStep();
+            steps.Add(stylizerStep);
 
+            var generators = new List<IImageGenerator>();
+            generators.Add(new BFLGenerator(_BFLService));
 
 
+            //generators.Add(new IdeogramGenerator(_IdeogramService));
+            //generators.Add(new Dalle3Generator(_Dalle3Service));
+            //var claudeStep = new ClaudeRewriteStep("", "Expand the preceding INPUT data with unusual but fitting obscure, archiac, poetic, punning words which still focus on the ultimate goal, to elucidate new, created-by-you, well-chosen details on her style, beliefs, life, heart, mind, soul, appearance, and habits, to produce a hyper-ULTRA-condensed prose output which still encapsulates [mystery-universe-gaia-purity-edge-tao] in all wonder, while retaining a thrilling environment, glitchcore, unspoken musings of null-thought, arcana, jargon, mumbled transliterations of mega-negative dimensional thought space and poetry CONCRETE illustration style. DO IT.  ALSO: you must emit MANY words and arrange them in a beautiful ASCII ART style of width 50 characters.", claudeService, 1.0m);
+            //steps.Add(claudeStep);
+            //var llamaRewriteStep = new LLAMARewriteStep("Rewrite this, adding details: ","Output 100 words of clear, simple text, describing an image which you imagine in detail.",llamaService);
+            //steps.Add(llamaRewriteStep);
+
             //var stylizerStep = new StylizerStep();
             //steps.Add(stylizerStep);
 
-            //var mmstep = new ManualModificationStep("A dramatically simple, emotional, lush and colorful razor-sharp vector art graphic illustration style glowing and pure muted or intense, evocative image on the following theme: ","");
-            //steps.Add(mmstep);
-
 
+            //var claudeStep = new ClaudeRewriteStep("", "Draw this making it full of many details, into a specific, news-paper photography style description of an image, most important and largest elements first as well as textures, colors, styles, then going into super details about the rest of it, which you should create to make the visual effect intense, interesting, and exceptional. Generate MANY words such as 500 or even 600, and then add a caption/title in the form of a beautiful ASCII ART style of width 50 characters. Our overall theme is purity, simplicity, natural forms, SATISFYING images that are fun to look at;", claudeService, 1.0m);
 
-            var generators = new List<IImageGenerator>();
-            
-            generators.Add(new BFLGenerator(_BFLService));
-            //generators.Add(new IdeogramGenerator(_IdeogramService));
-            //generators.Add(new Dalle3Generator(_Dalle3Service));
-
+            //var mmstep = new ManualModificationStep("A dramatically simple, emotional, lush and colorful razor-sharp vector art graphic illustration style glowing and pure muted or intense, evocative image on the following theme: ","");
+            //steps.Add(mmstep);
             foreach (var promptDetails in basePromptGenerator.Run())
             {
                 Console.WriteLine(stats.PrintStats());
diff --git a/MultiImageClient/Services/BFLService.cs b/MultiImageClient/Services/BFLService.cs
index 611904d..a3037cd 100644
--- a/MultiImageClient/Services/BFLService.cs
+++ b/MultiImageClient/Services/BFLService.cs
@@ -2,7 +2,7 @@
 
 using IdeogramAPIClient;
 using MultiImageClient.Enums;
-using MultiImageClient.Implementation;
+
 using System;
 using System.Net.Http;
 using System.Threading;
diff --git a/MultiImageClient/Services/Dalle3Service.cs b/MultiImageClient/Services/Dalle3Service.cs
index 00dd7b7..f98f079 100644
--- a/MultiImageClient/Services/Dalle3Service.cs
+++ b/MultiImageClient/Services/Dalle3Service.cs
@@ -5,7 +5,7 @@
 using BFLAPIClient;
 
 using IdeogramAPIClient;
-using MultiImageClient.Implementation;
+
 using Newtonsoft.Json;
 using Newtonsoft.Json.Converters;
 
diff --git a/MultiImageClient/Services/IdeogramService.cs b/MultiImageClient/Services/IdeogramService.cs
index 8fd3962..c4bd115 100644
--- a/MultiImageClient/Services/IdeogramService.cs
+++ b/MultiImageClient/Services/IdeogramService.cs
@@ -6,7 +6,6 @@
 
 using IdeogramAPIClient;
 using MultiImageClient.Enums;
-using MultiImageClient.Implementation;
 using Newtonsoft.Json;
 using Newtonsoft.Json.Converters;
 
diff --git a/MultiImageClient/imageGenerators/AbstractImageGenerator.cs b/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
index d6cd3e6..e0d7ac1 100644
--- a/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
+++ b/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
@@ -1,5 +1,4 @@
 using System.Threading.Tasks;
-using MultiImageClient.Implementation;
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/imageGenerators/BFLGenerator.cs b/MultiImageClient/imageGenerators/BFLGenerator.cs
index 5ab83e6..c53a13b 100644
--- a/MultiImageClient/imageGenerators/BFLGenerator.cs
+++ b/MultiImageClient/imageGenerators/BFLGenerator.cs
@@ -1,5 +1,4 @@
 using IdeogramAPIClient;
-using MultiImageClient.Implementation;
 using System;
 using System.Collections.Generic;
 using System.Linq;
diff --git a/MultiImageClient/imageGenerators/Dalle3Generator.cs b/MultiImageClient/imageGenerators/Dalle3Generator.cs
index 07f1ffe..e0b46e2 100644
--- a/MultiImageClient/imageGenerators/Dalle3Generator.cs
+++ b/MultiImageClient/imageGenerators/Dalle3Generator.cs
@@ -1,5 +1,4 @@
-using MultiImageClient.Implementation;
-using OpenAI.Images;
+using OpenAI.Images;
 
 using System;
 using System.Collections.Generic;
diff --git a/MultiImageClient/imageGenerators/IdeogramGenerator.cs b/MultiImageClient/imageGenerators/IdeogramGenerator.cs
index e7c0e30..9fad4d1 100644
--- a/MultiImageClient/imageGenerators/IdeogramGenerator.cs
+++ b/MultiImageClient/imageGenerators/IdeogramGenerator.cs
@@ -1,5 +1,4 @@
 using IdeogramAPIClient;
-using MultiImageClient.Implementation;
 using OpenAI.Images;
 
 using System;
diff --git a/MultiImageClient/imageGenerators/LoadFromFile.cs b/MultiImageClient/imageGenerators/LoadFromFile.cs
index 080b06c..ec99915 100644
--- a/MultiImageClient/imageGenerators/LoadFromFile.cs
+++ b/MultiImageClient/imageGenerators/LoadFromFile.cs
@@ -4,7 +4,6 @@
 using System.IO;
 using System.Linq;
 using System.Reflection.Metadata.Ecma335;
-using MultiImageClient.Implementation;
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/promptGenerators/DeckOfCards.cs b/MultiImageClient/promptGenerators/DeckOfCards.cs
index dd322b8..302b4e5 100644
--- a/MultiImageClient/promptGenerators/DeckOfCards.cs
+++ b/MultiImageClient/promptGenerators/DeckOfCards.cs
@@ -1,7 +1,7 @@
 using System;
 using System.Collections.Generic;
 using System.Linq;
-using MultiImageClient.Implementation;
+
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/imageGenerators/SinglePromptGenerator.cs b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
similarity index 98%
rename from MultiImageClient/imageGenerators/SinglePromptGenerator.cs
rename to MultiImageClient/promptGenerators/SinglePromptGenerator.cs
index cf4c550..eda65e3 100644
--- a/MultiImageClient/imageGenerators/SinglePromptGenerator.cs
+++ b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
@@ -5,7 +5,7 @@
 using System.Linq;
 using System.Reflection.Metadata.Ecma335;
 using System.Runtime.CompilerServices;
-using MultiImageClient.Implementation;
+
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/promptGenerators/WriteHere.cs b/MultiImageClient/promptGenerators/WriteHere.cs
index 173bfa0..9cf92be 100644
--- a/MultiImageClient/promptGenerators/WriteHere.cs
+++ b/MultiImageClient/promptGenerators/WriteHere.cs
@@ -1,7 +1,7 @@
 using CommandLine;
 
 using Microsoft.VisualBasic;
-using MultiImageClient.Implementation;
+
 using Newtonsoft.Json.Linq;
 
 using System;
diff --git a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
index 7a8bbc1..7544384 100644
--- a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
+++ b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
@@ -3,7 +3,7 @@
 using System.Linq;
 using System.Text;
 using System.Threading.Tasks;
-using MultiImageClient.Implementation;
+
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/promptTransformation/ManualModificationStep.cs b/MultiImageClient/promptTransformation/ManualModificationStep.cs
index 2afb065..48c8ac5 100644
--- a/MultiImageClient/promptTransformation/ManualModificationStep.cs
+++ b/MultiImageClient/promptTransformation/ManualModificationStep.cs
@@ -1,5 +1,4 @@
 using System.Threading.Tasks;
-using MultiImageClient.Implementation;
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/promptTransformation/RandomizerStep.cs b/MultiImageClient/promptTransformation/RandomizerStep.cs
index 11c43fc..da16c4f 100644
--- a/MultiImageClient/promptTransformation/RandomizerStep.cs
+++ b/MultiImageClient/promptTransformation/RandomizerStep.cs
@@ -4,9 +4,8 @@
 using System.Runtime;
 using System.Text;
 using System.Threading.Tasks;
-using MultiImageClient.Implementation;
 
-namespace MultiImageClient.promptTransformation
+namespace MultiImageClient
 {
     public class Alias
     {
diff --git a/MultiImageClient/promptTransformation/StylizerStep.cs b/MultiImageClient/promptTransformation/StylizerStep.cs
index 1d4a112..87486c4 100644
--- a/MultiImageClient/promptTransformation/StylizerStep.cs
+++ b/MultiImageClient/promptTransformation/StylizerStep.cs
@@ -4,7 +4,7 @@
 using System.Runtime;
 using System.Text;
 using System.Threading.Tasks;
-using MultiImageClient.Implementation;
+
 
 namespace MultiImageClient
 {

From 1c596337b35edaad6eafaf401cfb220b0daa5de7 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Tue, 22 Oct 2024 07:55:18 -0700
Subject: [PATCH 04/78] minor

---
 ImageGenerationClasses/PromptHistoryStep.cs        |  6 +++++-
 .../PromptReplacementMetadata.cs                   | 14 ++++++++++++++
 .../Enums/GeneratorApiTypeExtensions.cs            |  2 +-
 .../Enums/GenericImageGenerationErrorType.cs       |  2 +-
 .../Enums/GenericTextGenerationErrorType.cs        |  2 +-
 MultiImageClient/Implementation/ImageSaving.cs     |  2 +-
 .../Implementation/TaskProcessResult.cs            |  2 +-
 MultiImageClient/Implementation/TextFormatting.cs  | 11 ++++++++++-
 MultiImageClient/Implementation/TextUtils.cs       |  2 +-
 MultiImageClient/Program.cs                        | 13 ++++++++-----
 MultiImageClient/Services/BFLService.cs            |  4 ++--
 MultiImageClient/Services/ClaudeService.cs         |  2 +-
 MultiImageClient/Services/IdeogramService.cs       |  2 +-
 MultiImageClient/promptGenerators/PromptDetails.cs | 14 ++++++++++----
 14 files changed, 57 insertions(+), 21 deletions(-)
 create mode 100644 ImageGenerationClasses/PromptReplacementMetadata.cs

diff --git a/ImageGenerationClasses/PromptHistoryStep.cs b/ImageGenerationClasses/PromptHistoryStep.cs
index 77fd405..8cac5e8 100644
--- a/ImageGenerationClasses/PromptHistoryStep.cs
+++ b/ImageGenerationClasses/PromptHistoryStep.cs
@@ -5,19 +5,23 @@
     /// and then at least have them to accompany the actual image output to know its history.
     public class PromptHistoryStep
     {
-        public PromptHistoryStep(string newPrompt, string humanExplanation, TransformationType transformationType)
+        public PromptHistoryStep(string newPrompt, string humanExplanation, TransformationType transformationType, PromptReplacementMetadata pmd = null)
         {
             Prompt = newPrompt;
             Explanation = humanExplanation;
             TransformationType = transformationType;
+            PromptReplacementMetadata = pmd;
         }
         public PromptHistoryStep(PromptHistoryStep other)
         {
             Prompt = other.Prompt;
             Explanation = other.Explanation;
             TransformationType = other.TransformationType;
+            PromptReplacementMetadata = other.PromptReplacementMetadata?.Copy();
         }
 
+        public PromptReplacementMetadata PromptReplacementMetadata { get; set; }
+
         /// You transformed the prompt somehow and got this new version!  This is always internal; when annotating, always use the explanation.
         public string Prompt { get; set; }
 
diff --git a/ImageGenerationClasses/PromptReplacementMetadata.cs b/ImageGenerationClasses/PromptReplacementMetadata.cs
new file mode 100644
index 0000000..c6e88c2
--- /dev/null
+++ b/ImageGenerationClasses/PromptReplacementMetadata.cs
@@ -0,0 +1,14 @@
+namespace MultiImageClient
+{
+    public class PromptReplacementMetadata
+    {
+        public decimal ClaudeTemp { get; set; }
+        public PromptReplacementMetadata Copy()
+        {
+            return new PromptReplacementMetadata
+            {
+                ClaudeTemp = ClaudeTemp
+            };
+        }
+    }
+}
diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index 8246f3e..ec062fc 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -4,7 +4,7 @@
 using System.Text;
 using System.Threading.Tasks;
 
-namespace MultiImageClient.Enums
+namespace MultiImageClient
 {
     public static class GeneratorApiTypeExtensions
     {
diff --git a/MultiImageClient/Enums/GenericImageGenerationErrorType.cs b/MultiImageClient/Enums/GenericImageGenerationErrorType.cs
index 0f14262..f5e65ae 100644
--- a/MultiImageClient/Enums/GenericImageGenerationErrorType.cs
+++ b/MultiImageClient/Enums/GenericImageGenerationErrorType.cs
@@ -1,4 +1,4 @@
-namespace MultiImageClient.Enums
+namespace MultiImageClient
 {
     public enum GenericImageGenerationErrorType
     {
diff --git a/MultiImageClient/Enums/GenericTextGenerationErrorType.cs b/MultiImageClient/Enums/GenericTextGenerationErrorType.cs
index 94b9a5c..5b520c1 100644
--- a/MultiImageClient/Enums/GenericTextGenerationErrorType.cs
+++ b/MultiImageClient/Enums/GenericTextGenerationErrorType.cs
@@ -4,7 +4,7 @@
 using System.Text;
 using System.Threading.Tasks;
 
-namespace MultiImageClient.Enums
+namespace MultiImageClient
 {
     public enum GenericTextGenerationErrorType
     {
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index ea4fedd..c423bd4 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -6,7 +6,7 @@
 
 using IdeogramAPIClient;
 using System.Linq;
-using MultiImageClient.Enums;
+
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/Implementation/TaskProcessResult.cs b/MultiImageClient/Implementation/TaskProcessResult.cs
index cfb2fd6..1165543 100644
--- a/MultiImageClient/Implementation/TaskProcessResult.cs
+++ b/MultiImageClient/Implementation/TaskProcessResult.cs
@@ -1,5 +1,5 @@
 using IdeogramAPIClient;
-using MultiImageClient.Enums;
+
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index 56407cc..25704e2 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -30,7 +30,14 @@ private static void DrawKeyValuePair(Graphics graphics, PromptHistoryStep step,
             {
                 var key = $"{step.TransformationType}";
                 var value = $"{step.Explanation}";
-
+                if (step.PromptReplacementMetadata != null)
+                {
+                    //also write temp here.
+                }
+                if (value.Length > 1000)
+                {
+                    value = value.Substring(0, 1000)+"...";
+                }
                 using (var keyFont = GetSupportedFont(key, fontSize, FontStyle.Regular))
                 using (var valueFont = GetMonospacedFont(value, fontSize, FontStyle.Regular))
                 {
@@ -191,12 +198,14 @@ private static Font GetMonospacedFont(string text, float fontSize, FontStyle sty
                 {
                     if (font.Name == fontFamily && CanDisplayText(font, text))
                     {
+                        Console.WriteLine($"chose font: {font.Name} cause it could display all.");
                         return new Font(fontFamily, fontSize, style);
                     }
                 }
             }
 
             // If no monospaced font can display all characters, return a default monospaced font
+            Console.WriteLine($"Failed to choose font, fallback to genri mono");
             return new Font(FontFamily.GenericMonospace, fontSize, style);
         }
     }
diff --git a/MultiImageClient/Implementation/TextUtils.cs b/MultiImageClient/Implementation/TextUtils.cs
index 63adaff..417275d 100644
--- a/MultiImageClient/Implementation/TextUtils.cs
+++ b/MultiImageClient/Implementation/TextUtils.cs
@@ -16,7 +16,7 @@
 using IdeogramAPIClient;
 using System.Text.RegularExpressions;
 using System.Xml.Linq;
-using MultiImageClient.Enums;
+
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 08154f9..618e83a 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -50,16 +50,19 @@ static async Task Main(string[] args)
             var stats = new MultiClientRunStats();
             var processingTasks = new List<Task>();
 
-            var basePromptGenerator = new SinglePromptGenerator(new List<string>() { "A partially hidden cat who is more than he seems, trying to save humanity during a sudden disaster." }, 10, 4, 100, settings);
+            var basePromptGenerator = new SinglePromptGenerator(new List<string>() { "A heist of IDEAS from the No-osphere, by a man undergoing 'Internal LLM Systems' therapy (the modern version of IFS; this new system hypothesizes that inside, we have enough similarities to LLMs that techniques of interacting with them will also work on ourselves) - @redphonecrypto" }, 10, 2, 100, settings);
             var rstep = new RandomizerStep();
             steps.Add(rstep);
 
-            var claudeStep = new ClaudeRewriteStep("dear claude, please put this in terms an insane medieval hierophant would use, emitting 100 obscure words)", "", claudeService, 0.9m);
-            steps.Add(claudeStep);
-
             var stylizerStep = new StylizerStep();
             steps.Add(stylizerStep);
 
+            //var claudeStep = new ClaudeRewriteStep("dear claude, please put this in terms an insane medieval hierophant would use, emitting 100 obscure words, line noise, negations, OVERLOAD acronyms, japonisme, latin rosicrutian texts with a flair for the visually appealing and brutalist architure settings of fascination, retaining  refs to $GOAT and backrooms. NO newlines, condensed abstract words, wildness. Include references to LLM-based AI cryptocoins, the Crypto is getting intelligent and 'waking up' to spend a buck on coffee. Who is the NEXT?  ", "", claudeService, 0.876456m);
+            //steps.Add(claudeStep);
+
+            var claudeStep2 = new ClaudeRewriteStep("Clearly summarize this and create a diagram as well as an illustration and schematic.  The consumer of your output will be a crack team of AI-human artist hybrids so please give them all detail you can in the transl8n, to help us fully illustrate it. Emit 200 words no newlines ", "", claudeService, 1.0m);
+            steps.Add(claudeStep2);
+
             var generators = new List<IImageGenerator>();
             generators.Add(new BFLGenerator(_BFLService));
 
@@ -182,7 +185,7 @@ private static async Task SaveJsonLogAsync(TaskProcessResult result, Dictionary<
             {
                 string jsonFilePath = Path.ChangeExtension(rawImagePath, ".json");
                 await File.WriteAllTextAsync(jsonFilePath, jsonString);
-                Console.WriteLine($"\tJSON log saved to: {jsonFilePath}");
+                //Console.WriteLine($"\tJSON log saved to: {jsonFilePath}");
             }
             else
             {
diff --git a/MultiImageClient/Services/BFLService.cs b/MultiImageClient/Services/BFLService.cs
index a3037cd..c9ad876 100644
--- a/MultiImageClient/Services/BFLService.cs
+++ b/MultiImageClient/Services/BFLService.cs
@@ -1,7 +1,7 @@
 using BFLAPIClient;
 
 using IdeogramAPIClient;
-using MultiImageClient.Enums;
+
 
 using System;
 using System.Net.Http;
@@ -71,7 +71,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                     if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
                     {
                         //BFL replaced the prompt. Never actually happens.
-                        promptDetails.ReplacePrompt(returnedPrompt.Trim(), returnedPrompt.Trim(), TransformationType.BFLRewrite);
+                        promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
                     }
                     return new TaskProcessResult { IsSuccess = true, Url = generationResult.Result.Sample, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL };
                 }
diff --git a/MultiImageClient/Services/ClaudeService.cs b/MultiImageClient/Services/ClaudeService.cs
index 8894fff..5d09ab9 100644
--- a/MultiImageClient/Services/ClaudeService.cs
+++ b/MultiImageClient/Services/ClaudeService.cs
@@ -8,7 +8,7 @@
 using Anthropic.SDK;
 using Anthropic.SDK.Constants;
 using Anthropic.SDK.Messaging;
-using MultiImageClient.Enums;
+
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/Services/IdeogramService.cs b/MultiImageClient/Services/IdeogramService.cs
index c4bd115..fc8a722 100644
--- a/MultiImageClient/Services/IdeogramService.cs
+++ b/MultiImageClient/Services/IdeogramService.cs
@@ -5,7 +5,7 @@
 using BFLAPIClient;
 
 using IdeogramAPIClient;
-using MultiImageClient.Enums;
+
 using Newtonsoft.Json;
 using Newtonsoft.Json.Converters;
 
diff --git a/MultiImageClient/promptGenerators/PromptDetails.cs b/MultiImageClient/promptGenerators/PromptDetails.cs
index 29e33a2..359f88c 100644
--- a/MultiImageClient/promptGenerators/PromptDetails.cs
+++ b/MultiImageClient/promptGenerators/PromptDetails.cs
@@ -4,9 +4,10 @@
 using IdeogramAPIClient;
 
 
+
 namespace MultiImageClient
 {
-    public class PromptDetails
+    public partial class PromptDetails
     {
         
         /// This should track the "active" prompt which the next step in the process should care about.  Earlier versions are in ImageConstructionSteps. <summary>
@@ -26,6 +27,11 @@ public class PromptDetails
         public IdeogramDetails IdeogramDetails { get; set; }
         public Dalle3Details Dalle3Details { get; set; }
 
+        public void ReplacePrompt(string newPrompt, string explanation, TransformationType transformationType)
+        {
+            ReplacePrompt(newPrompt, explanation, transformationType, null);    
+        }
+
         /// <summary>
         /// This item's "Prompt" field is always the active prompt which will be really used to send to external consuemrs
         /// however, often times it is really composed of like: $"Outer prompt stuff {previous version} Tail suffix stuff" and for user understanding we oftenw ant to show that.
@@ -34,7 +40,7 @@ public class PromptDetails
         /// 
         /// This is a helper method which forces callers to fill in the history of a request when they change the prompt. That way we won't lose track of it.
         /// </summary>
-        public void ReplacePrompt(string newPrompt, string explanation, TransformationType transformationType)
+        public void ReplacePrompt(string newPrompt, string explanation, TransformationType transformationType, PromptReplacementMetadata promptReplacementMetadata)
         {
             var currentPromptText = Prompt;
             if (string.IsNullOrEmpty(currentPromptText))
@@ -46,7 +52,7 @@ public void ReplacePrompt(string newPrompt, string explanation, TransformationTy
                 explanation = explanation.Replace(currentPromptText, "{PROMPT}");
             }
             
-            var item = new PromptHistoryStep(newPrompt, explanation, transformationType);
+            var item = new PromptHistoryStep(newPrompt, explanation, transformationType, promptReplacementMetadata);
             TransformationSteps.Add(item);
             Prompt = newPrompt.Trim();
         }
@@ -89,7 +95,7 @@ public PromptDetails Clone()
                 BFLDetails = BFLDetails != null ? new BFLDetails(BFLDetails) : null,
                 IdeogramDetails = IdeogramDetails != null ? new IdeogramDetails(IdeogramDetails) : null,
                 Dalle3Details = Dalle3Details != null ? new Dalle3Details(Dalle3Details) : null,
-                TransformationSteps = new List<PromptHistoryStep>()
+                TransformationSteps = new List<PromptHistoryStep>(),
             };
 
             foreach (var step in TransformationSteps)

From 2f3a8ead63dc68b7a37a5d3844cea1cef4e00d73 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Tue, 22 Oct 2024 07:59:09 -0700
Subject: [PATCH 05/78] x

---
 MultiImageClient/promptGenerators/PromptDetails.cs | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/MultiImageClient/promptGenerators/PromptDetails.cs b/MultiImageClient/promptGenerators/PromptDetails.cs
index 359f88c..0f6898a 100644
--- a/MultiImageClient/promptGenerators/PromptDetails.cs
+++ b/MultiImageClient/promptGenerators/PromptDetails.cs
@@ -7,7 +7,7 @@
 
 namespace MultiImageClient
 {
-    public partial class PromptDetails
+    public class PromptDetails
     {
         
         /// This should track the "active" prompt which the next step in the process should care about.  Earlier versions are in ImageConstructionSteps. <summary>

From df43ecf2ae08a4699875ceffcbf2fc8cecff95a1 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Mon, 28 Oct 2024 17:54:45 -0700
Subject: [PATCH 06/78] more specifics

---
 .../Implementation/AbstractPromptGenerator.cs |   2 +-
 .../Implementation/ImageSaving.cs             |   9 +-
 .../PromptDetails.cs                          |   4 +-
 .../Implementation/TextFormatting.cs          | 104 ++++++++++++++----
 MultiImageClient/Implementation/TextUtils.cs  |   8 +-
 MultiImageClient/Program.cs                   |  32 +++---
 .../imageGenerators/LoadFromFile.cs           |   2 +-
 .../promptGenerators/DeckOfCards.cs           |   2 +-
 .../promptGenerators/EmotionFaces.cs          |  43 ++++++++
 .../promptGenerators/StillLife.cs             |  43 ++++++++
 .../promptGenerators/WriteHere.cs             |   4 +-
 11 files changed, 205 insertions(+), 48 deletions(-)
 rename MultiImageClient/{promptGenerators => Implementation}/PromptDetails.cs (97%)
 create mode 100644 MultiImageClient/promptGenerators/EmotionFaces.cs
 create mode 100644 MultiImageClient/promptGenerators/StillLife.cs

diff --git a/MultiImageClient/Implementation/AbstractPromptGenerator.cs b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
index 1ba8e9d..640c43a 100644
--- a/MultiImageClient/Implementation/AbstractPromptGenerator.cs
+++ b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
@@ -17,7 +17,7 @@ public abstract class AbstractPromptGenerator
         public abstract int CopiesPer { get; }
 
         /// i.e. how many times we send it to each image generator, after applying all prior manipulation steps
-        public virtual int FullyResolvedCopiesPer { get; } = 3;
+        public virtual int FullyResolvedCopiesPer { get; } = 1;
         public abstract string Prefix { get; }
         /// <summary>
         ///  Variant leading texts, if any, which you want to include after the global prefix.
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index c423bd4..889f002 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -15,7 +15,8 @@ public enum SaveType
         Raw = 1,
         FullAnnotation = 2,
         InitialIdea = 3,
-        FinalPrompt = 4
+        FinalPrompt = 4,
+        JustOverride = 5, // when w generate the prompt sometimes we just have a core word/phrase called the "IdentifyingConcept" which we want to make visible in both the filename and in this version with the subtitle for illustrative purposes. If you get one of these then just draw the text large, centered, in a nice font, with no other junk.
     }
 
     public static class ImageSaving
@@ -109,6 +110,9 @@ private static async Task AddAnnotationsAsync(
                     imageInfo = new Dictionary<string, string>();
                     usingSteps = new List<PromptHistoryStep>();
                     break;
+                case SaveType.JustOverride:
+                    imageInfo.Add("JUST", result.PromptDetails.IdentifyingConcept);
+                    break;
             }
 
             imageInfo = imageInfo.Where(kvp => !string.IsNullOrWhiteSpace(kvp.Value))
@@ -118,7 +122,8 @@ await TextFormatting.SaveImageAndAnnotateText(
                 imageBytes,
                 usingSteps,
                 imageInfo,
-                fullPath
+                fullPath,
+                saveType
             );
         }
 
diff --git a/MultiImageClient/promptGenerators/PromptDetails.cs b/MultiImageClient/Implementation/PromptDetails.cs
similarity index 97%
rename from MultiImageClient/promptGenerators/PromptDetails.cs
rename to MultiImageClient/Implementation/PromptDetails.cs
index 0f6898a..638492a 100644
--- a/MultiImageClient/promptGenerators/PromptDetails.cs
+++ b/MultiImageClient/Implementation/PromptDetails.cs
@@ -17,7 +17,7 @@ public class PromptDetails
         /// <summary>
         /// If a generator wants the file to have a specific filename, it should fill this in. that is, regardless of whatever happens to the prompt after the transformation, or even the initail actual prompt, just use this. For example if you are generating a deck of cards, you might just set this up to say "2 or hearts" even if your raw original prompt for even the first step is "two hearts entwined in the style of jack vance" etc. This way the resulting filenames will make sense.
         /// </summary>
-        public string OverrideFilename { get; set; } = "";
+        public string IdentifyingConcept { get; set; } = "";
 
         public IList<PromptHistoryStep> TransformationSteps { get; set; } = new List<PromptHistoryStep>();
 
@@ -91,7 +91,7 @@ public PromptDetails Clone()
             var clone = new PromptDetails
             {
                 Prompt = Prompt,
-                OverrideFilename = OverrideFilename,
+                IdentifyingConcept = IdentifyingConcept,
                 BFLDetails = BFLDetails != null ? new BFLDetails(BFLDetails) : null,
                 IdeogramDetails = IdeogramDetails != null ? new IdeogramDetails(IdeogramDetails) : null,
                 Dalle3Details = Dalle3Details != null ? new Dalle3Details(Dalle3Details) : null,
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index 25704e2..12e1a01 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -67,6 +67,33 @@ private static void DrawKeyValuePair(Graphics graphics, PromptHistoryStep step,
             }
         }
 
+        private static void DrawJustOneLargeText(Graphics graphics, string theText, float leftMargin, float totalWidth, ref float y)
+        {
+            using (var whiteBrush = new SolidBrush(Color.White))
+            using (var blackBrush = new SolidBrush(Color.Black))
+            {
+                // Define the font
+                float fontSize = 48; // Large font size
+                using (var font = new Font("Times New Roman", fontSize, FontStyle.Bold))
+                {
+                    // Measure the size of the text
+                    var textSize = graphics.MeasureString(theText, font);
+
+                    // Calculate the position to center the text
+                    float x = leftMargin + (totalWidth - textSize.Width) / 2;
+
+                    // Draw the background rectangle
+                    graphics.FillRectangle(blackBrush, leftMargin, y, totalWidth, textSize.Height);
+
+                    // Draw the text
+                    graphics.DrawString(theText, font, whiteBrush, x, y);
+
+                    // Update the y position
+                    y += textSize.Height + 10; // Add some spacing below the text
+                }
+            }
+
+        }
         private static void DrawImageInfo(Graphics graphics, Dictionary<string, string> imageInfo, Font font, float x, float totalWidth, ref float y)
         {
             const float padding = 5f;
@@ -123,38 +150,67 @@ private static void DrawImageInfo(Graphics graphics, Dictionary<string, string>
             y = maxY + padding; // Update final y position
         }
 
-        public static async Task SaveImageAndAnnotateText(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath)
+        public static async Task SaveImageAndAnnotateText(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
         {
             using var ms = new MemoryStream(imageBytes);
             using var originalImage = Image.FromStream(ms);
 
             int annotationWidth = 1000; // Standard width for the right side annotation section
-            using var annotatedImage = new Bitmap(originalImage.Width + annotationWidth, originalImage.Height);
-            using var graphics = Graphics.FromImage(annotatedImage);
-            
-            // Draw the original image
-            graphics.DrawImage(originalImage, 0, 0);
-            
-            // Set up the annotation area
-            graphics.FillRectangle(Brushes.Black, originalImage.Width, 0, annotationWidth, originalImage.Height);
-            
-            float y = 5; // Start a bit below the top
-            float fontSize = 12;
-
-            float leftMargin = originalImage.Width + 5;
-            float rightMargin = annotatedImage.Width - 5;
-            float totalWidth = rightMargin - leftMargin;
-            float keyWidth = totalWidth * KEY_WIDTH_PROPORTION;
-            float valueWidth = totalWidth * VALUE_WIDTH_PROPORTION;
-
-            // Draw text into the right side black rectangle
-            foreach (var historyStep in historySteps)
+            int annotationHeight = 100; // Height for the bottom annotation section
+
+            Bitmap annotatedImage;
+            Graphics graphics;
+
+            if (saveType == SaveType.JustOverride)
             {
-                DrawKeyValuePair(graphics, historyStep, fontSize, leftMargin, keyWidth, valueWidth, ref y);
-                y += 2; // Add small gap between text pairs
+                // Expand the image at the bottom
+                annotatedImage = new Bitmap(originalImage.Width, originalImage.Height + annotationHeight);
+                graphics = Graphics.FromImage(annotatedImage);
+
+                // Draw the original image
+                graphics.DrawImage(originalImage, 0, 0);
+
+                // Set up the annotation area at the bottom
+                graphics.FillRectangle(Brushes.Black, 0, originalImage.Height, originalImage.Width, annotationHeight);
+
+                float y = originalImage.Height + 10; // Start a bit below the top of the annotation area
+                float leftMargin = 10;
+                float rightMargin = annotatedImage.Width - 10;
+                float totalWidth = rightMargin - leftMargin;
+
+                var theText = imageInfo.First().Value;
+                DrawJustOneLargeText(graphics, theText, leftMargin, totalWidth, ref y);
             }
+            else
+            {
+                // Expand the image on the right
+                annotatedImage = new Bitmap(originalImage.Width + annotationWidth, originalImage.Height);
+                graphics = Graphics.FromImage(annotatedImage);
+
+                // Draw the original image
+                graphics.DrawImage(originalImage, 0, 0);
 
-            DrawImageInfo(graphics, imageInfo, new Font("Arial", fontSize, FontStyle.Regular), leftMargin, totalWidth, ref y);
+                // Set up the annotation area on the right
+                graphics.FillRectangle(Brushes.Black, originalImage.Width, 0, annotationWidth, originalImage.Height);
+
+                float y = 5; // Start a bit below the top
+                float fontSize = 12;
+
+                float leftMargin = originalImage.Width + 5;
+                float rightMargin = annotatedImage.Width - 5;
+                float totalWidth = rightMargin - leftMargin;
+                float keyWidth = totalWidth * KEY_WIDTH_PROPORTION;
+                float valueWidth = totalWidth * VALUE_WIDTH_PROPORTION;
+
+                // Draw text into the right side black rectangle
+                foreach (var historyStep in historySteps)
+                {
+                    DrawKeyValuePair(graphics, historyStep, fontSize, leftMargin, keyWidth, valueWidth, ref y);
+                    y += 2; // Add small gap between text pairs
+                }
+
+                DrawImageInfo(graphics, imageInfo, new Font("Arial", fontSize, FontStyle.Regular), leftMargin, totalWidth, ref y);
+            }
 
             annotatedImage.Save(outputPath, ImageFormat.Png);
         }
diff --git a/MultiImageClient/Implementation/TextUtils.cs b/MultiImageClient/Implementation/TextUtils.cs
index 417275d..1901195 100644
--- a/MultiImageClient/Implementation/TextUtils.cs
+++ b/MultiImageClient/Implementation/TextUtils.cs
@@ -29,11 +29,17 @@ public static class TextUtils
 
         public static string GenerateUniqueFilename(TaskProcessResult result, string baseFolder, string promptGeneratorName, SaveType saveType)
         {
+            var usingPromptTextPart = TruncatePrompt(result.PromptDetails.Prompt, 90);
+            if (!string.IsNullOrEmpty(result.PromptDetails.IdentifyingConcept))
+            {
+                usingPromptTextPart = result.PromptDetails.IdentifyingConcept;
+            }
+
             var components = new List<string>
             {
                 promptGeneratorName,
                 result.ImageGenerator.ToString(),
-                TruncatePrompt(result.PromptDetails.Prompt, 90),
+                usingPromptTextPart,
 
                 GetResolution(result.PromptDetails),
                 GetIfAPIServiceDoesRewrites(result.PromptDetails),
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 618e83a..b3174c4 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -49,19 +49,20 @@ static async Task Main(string[] args)
 
             var stats = new MultiClientRunStats();
             var processingTasks = new List<Task>();
+            var basePromptGenerator = new StillLife(settings);
 
-            var basePromptGenerator = new SinglePromptGenerator(new List<string>() { "A heist of IDEAS from the No-osphere, by a man undergoing 'Internal LLM Systems' therapy (the modern version of IFS; this new system hypothesizes that inside, we have enough similarities to LLMs that techniques of interacting with them will also work on ourselves) - @redphonecrypto" }, 10, 2, 100, settings);
-            var rstep = new RandomizerStep();
-            steps.Add(rstep);
+            //var basePromptGenerator = new SinglePromptGenerator(new List<string>() { "    Addiction comes out of the future, and there is a replicator interlock with money operating quite differently to reproductive investment, but guiding it even more inexorably towards capitalization. For the replicants money is not a matter of possession, but of liquidity/deterritorialization, and all the monetary processes on Earth are open to their excitement, irrespective of ownership. Money communicates with the primary process because of what it can melt, not what it can obtain.\r\n\r\n    Machinic desire can seem a little inhuman, as it rips up political cultures, deletes traditions, dissolves subjectivities, and hacks through security apparatuses, tracking a soulless tropism to zero control. This is because what appears to humanity as the history of capitalism is an invasion from the future by an artificial intelligent space that must assemble itself entirely from its enemy's resources. Digitocommodification is the index of a cyberpositively escalating technovirus, of the planetary technocapital singularity: a self-organizing insidious traumatism, virtually guiding the entire biological desiring-complex towards post-carbon replicator usurpation.\r\n\r\n    The reality principle tends to a consummation as the price system: a convergence of mathematico-scientific and monetary quantization, or technical and economic implementability. This is not a matter of an unknown quantity, but of a quantity that operates as a place-holder for the unknown, introducing the future as an abstract magnitude. Capital propagates virally in so far as money communicates addiction, replicating itself through host organisms whose boundaries it breaches, and whose desires it reprograms. It incrementally virtualizes production; demetallizing money in the direction of credit finance, and disactualizing productive force along the scale of machinic intelligence quotient. The dehumanizing convergence of these tendencies zeroes upon an integrated and automatized cyberpositive techno-economic intelligence at war with the macropod." }, 10, 2, 100, settings);
+            //var rstep = new RandomizerStep();
+            //steps.Add(rstep);
 
-            var stylizerStep = new StylizerStep();
-            steps.Add(stylizerStep);
+            //var stylizerStep = new StylizerStep();
+            //steps.Add(stylizerStep);
 
-            //var claudeStep = new ClaudeRewriteStep("dear claude, please put this in terms an insane medieval hierophant would use, emitting 100 obscure words, line noise, negations, OVERLOAD acronyms, japonisme, latin rosicrutian texts with a flair for the visually appealing and brutalist architure settings of fascination, retaining  refs to $GOAT and backrooms. NO newlines, condensed abstract words, wildness. Include references to LLM-based AI cryptocoins, the Crypto is getting intelligent and 'waking up' to spend a buck on coffee. Who is the NEXT?  ", "", claudeService, 0.876456m);
-            //steps.Add(claudeStep);
 
-            var claudeStep2 = new ClaudeRewriteStep("Clearly summarize this and create a diagram as well as an illustration and schematic.  The consumer of your output will be a crack team of AI-human artist hybrids so please give them all detail you can in the transl8n, to help us fully illustrate it. Emit 200 words no newlines ", "", claudeService, 1.0m);
-            steps.Add(claudeStep2);
+            //var claudeStep2 = new ClaudeRewriteStep("Here is a piece of text. Our goal is to UNDERSTAND it, first. Then, Imagine and describe a specific image which symbolically summarizes this; in addition, create a diagram as well as an illustration and schematic.  The consumer of your output will be a crack team of AI-human artist hybrids so please give them all detail you can in the transl8n, to help us fully illustrate it. Emit 200 words no newlines. Imagine a specific scenario, format, composition style and medium, artist you choose who would be your muse, and describe what is in the image, the pixels, the layout, the words (shortphrases only) and make it hrdcore", "", claudeService, 1.0m);
+            //steps.Add(claudeStep2);
+
+           
 
             var generators = new List<IImageGenerator>();
             generators.Add(new BFLGenerator(_BFLService));
@@ -74,14 +75,14 @@ static async Task Main(string[] args)
             //var llamaRewriteStep = new LLAMARewriteStep("Rewrite this, adding details: ","Output 100 words of clear, simple text, describing an image which you imagine in detail.",llamaService);
             //steps.Add(llamaRewriteStep);
 
-            //var stylizerStep = new StylizerStep();
-            //steps.Add(stylizerStep);
+            //var stylizerStep2 = new StylizerStep();
+            //steps.Add(stylizerStep2);
 
 
-            //var claudeStep = new ClaudeRewriteStep("", "Draw this making it full of many details, into a specific, news-paper photography style description of an image, most important and largest elements first as well as textures, colors, styles, then going into super details about the rest of it, which you should create to make the visual effect intense, interesting, and exceptional. Generate MANY words such as 500 or even 600, and then add a caption/title in the form of a beautiful ASCII ART style of width 50 characters. Our overall theme is purity, simplicity, natural forms, SATISFYING images that are fun to look at;", claudeService, 1.0m);
+            var claudeStep = new ClaudeRewriteStep("Create a text paragraph describing an incredible artwork based on this concept: ", "Draw this making it full of many details, into a specific stle description of an image, most important and largest elements first as well as textures, colors, styles, then going into super details about the rest of it, which you should create to make the visual effect intense, interesting, and exceptional. Generate MANY words such as 500 or even 600, our overall theme is clarity and directness, suited to the topic which you must strive and struggle to honor and maintain focus on. ", claudeService, 1.0m);
 
-            //var mmstep = new ManualModificationStep("A dramatically simple, emotional, lush and colorful razor-sharp vector art graphic illustration style glowing and pure muted or intense, evocative image on the following theme: ","");
-            //steps.Add(mmstep);
+            steps.Add(claudeStep);
+            
             foreach (var promptDetails in basePromptGenerator.Run())
             {
                 Console.WriteLine(stats.PrintStats());
@@ -149,6 +150,9 @@ private static async Task ProcessAndDownloadAsync(Task<TaskProcessResult> proces
                         {
                             savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.InitialIdea, abstractPromptGenerator.Name);
                         }
+                        
+                        savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.JustOverride, abstractPromptGenerator.Name);
+
                         if (settings.SaveJsonLog)
                         {
                             await SaveJsonLogAsync(result, savedImagePaths, settings);
diff --git a/MultiImageClient/imageGenerators/LoadFromFile.cs b/MultiImageClient/imageGenerators/LoadFromFile.cs
index ec99915..5536e7c 100644
--- a/MultiImageClient/imageGenerators/LoadFromFile.cs
+++ b/MultiImageClient/imageGenerators/LoadFromFile.cs
@@ -65,7 +65,7 @@ private IEnumerable<PromptDetails> GetPrompts()
                 usePrompt = usePrompt.Trim();
                 var pd = new PromptDetails();
                 pd.ReplacePrompt(usePrompt,usePrompt, TransformationType.InitialPrompt);
-                pd.OverrideFilename = "";
+                pd.IdentifyingConcept = "";
                 
                 res.Add(pd);
             }
diff --git a/MultiImageClient/promptGenerators/DeckOfCards.cs b/MultiImageClient/promptGenerators/DeckOfCards.cs
index 302b4e5..76cde21 100644
--- a/MultiImageClient/promptGenerators/DeckOfCards.cs
+++ b/MultiImageClient/promptGenerators/DeckOfCards.cs
@@ -38,7 +38,7 @@ private IEnumerable<PromptDetails> GetPrompts()
                     var pd = new PromptDetails();
                     var prompt = $"The {jobs} of {suits[ii]} using the style of {artists[ii]} using the color {themes[ii]} and emotion: {emotionThemes[ii]}";
                     pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                    pd.OverrideFilename = $"{artists[ii]}_{suits[ii]}_{jobs}.";
+                    pd.IdentifyingConcept = $"{artists[ii]}_{suits[ii]}_{jobs}.";
                     yield return pd;
                 }
             }
diff --git a/MultiImageClient/promptGenerators/EmotionFaces.cs b/MultiImageClient/promptGenerators/EmotionFaces.cs
new file mode 100644
index 0000000..10b7d2a
--- /dev/null
+++ b/MultiImageClient/promptGenerators/EmotionFaces.cs
@@ -0,0 +1,43 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+
+
+namespace MultiImageClient
+{
+    public class EmotionFaces : AbstractPromptGenerator
+    {
+        public EmotionFaces(Settings settings) : base(settings)
+        {
+        }
+
+        public override string Name => "Paintings";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Prefix => "";
+        public override int ImageCreationLimit => 20;
+        public override int CopiesPer => 1;
+        public override bool RandomizeOrder => false;
+        public override int FullyResolvedCopiesPer => 2;
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var emotions = "a smiling, a frowning, a scowling, a puzzled, an angry, an anxious, a worried, a surprised, a shocked, an annoyed, an amused, a happy, a sad, a confused, a thoughtful, a stern, an excited, an exhausted, a tired, a nervous, an upset, a serious, a concerned, a distant, an innocent, an irritated, a hopeful, a determined, a peaceful, a vacant".Split(", ", StringSplitOptions.RemoveEmptyEntries).ToList();
+
+            foreach (var emotion in emotions)
+            {
+                var pd = new PromptDetails();
+                var prompt = $"A clear, very sharp, high resolution, artistic photograph of a close up of just the face of a 30 year old white middle class university lecturer in Biology from Florida, working at UNC, at a staff post-term party reception, standing at a table, with  {emotion} expression on his face. He has brown hair, a t-shirt and the reception takes place in on the rooftop garden in the the old mathematics building where they are eating hot dogs and burgers and watching the game. he is not handsome nor manly. He is a passable lecturer only; his brilliance at reading does not come out in his slow speech. He is not attractive. He doesn't have glasses. He is of average build, looks like a typical early career lecturer. His father was swiss and his mother is french so he looks fairly western european in face. He is clean shaven and has an ill-defined jaw.  Only has face is visible looking almost directly at the camera close up framing his face from forehead to chin, ear to ear. The rest of his body is not visible. He has no beard or stubble or moustache, his face is smooth. He is engaged in an intense discussion with a colleague.";
+                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
+                var theSplit = emotion.Split(' ', 2);
+                pd.IdentifyingConcept = $"{theSplit[1]}.";
+                yield return pd;
+            }
+
+        }
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
+
+    }
+}
diff --git a/MultiImageClient/promptGenerators/StillLife.cs b/MultiImageClient/promptGenerators/StillLife.cs
new file mode 100644
index 0000000..4d173c9
--- /dev/null
+++ b/MultiImageClient/promptGenerators/StillLife.cs
@@ -0,0 +1,43 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+
+
+namespace MultiImageClient
+{
+    public class StillLife : AbstractPromptGenerator
+    {
+        public StillLife(Settings settings) : base(settings)
+        {
+        }
+
+        public override string Name => "Emotional Man";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Prefix => "";
+        public override int ImageCreationLimit => 300;
+        public override int CopiesPer => 3;
+        public override bool RandomizeOrder => true;
+        public override int FullyResolvedCopiesPer => 1;
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var emotions = "aggression,ambition,anger,anguish,anxiety,astonishment,awe,betrayal,blank,boredom,calm,camaraderie,condescension,contented,contentment,creativity,curiosity,defeat,despair,determination,diligence,disgust,dominance,ecstasy,enchantment,enlightenment,envy,exasperation,exhaustion,exhilaration,fascination,fear,foolishness,gloom,grandiosity,gratitude,greed,grumpiness,guilt,happiness,hatred,hope,hopelessness,hostility,humility,impatience,indignation,irritation,jealousy,loneliness,longing for love,love,loyalty,lust,melancholy,mischievousness,mournful,mourning,nostalgia,obliviousness,overwhelm,passion,perplexity,pitiful,pity,pomposity,pride,rebellion,regret,relief,remorse,resentment,revenge,reverence,sacrifice,sadness,serenity,shame,skepticism,skinship,stress,submission,surprise,sympathy,thrill,transcendence,triumph,trust,unease,unity,valor,veneration,vigilance,vulnerability,yearning,adoration,alienation,anticipation,apathy,bewilderment,catharsis,cynicism,deference,delight,detachment,disillusionment,empowerment,fervor,forlorn,fulfillment,indifference,jubilation,kinship,lethargy,liberation,malaise,pensiveness,petulance,prudence,redemption,solitude,tenacity,trepidation,vindication,zeal".Split(",", StringSplitOptions.RemoveEmptyEntries).ToList();
+
+            foreach (var emotion in emotions)
+            {
+                var pd = new PromptDetails();
+                //var prompt = $"Your subject is the very concept of the feeling: {emotion}. Portray this concept thoroughly, and focus on this specific single concept and feeling, only.  Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions. Then, compose a still life whose design, elements, style, colors, textures, orientation, complexity or simplicity, taste, the form of the artwork, the apparent age, tradition, or modernity of the image, its composition, and every other aspect of it fully embody the very specific aspects of this singular emotion in an extremely intense, poignant, deeply moving, and very clear, obvious and distinct way. There should be a deep and complex   relationship between the elements. Use specific styles, ranging from hypermodern to traditional, conservative, ancient, foreign, european, etc.  Include the following for things which appear: their orientation, light sources, facing direction, and interanl relationships as well as relation to the viewer, symbolisms, the way they are drawn, etc. Be extremely specific on exactly what should appear, and where, within the image. No human face appears at all. Exclude all textual elements. You may need to be very wordy with your output, more than normal, to make sure you cover all the required elements. This is required; you MUST output a very long and hyper specific prompt with specific artists and styles mentioned.";
+                var prompt = $"Create a description of an ART work expressing strong {emotion} with a strong POLISH influences both in terms of product design, architecture, anthropomorphism, symbolism and religious, philosophical, and artistic traditions yet retaining your elite status. Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions.   Detail specifics regarding the artwork's design and characteristics.:\r\nTechnical requirements:\r\n\r\nStyle: [Choose 1-2: Other styles than these, or Hyperrealism, Dutch Golden Age, Minimalist Modern, Pop Art, Baroque etc. But pick OTHER ones]\r\nPrimary artist influences: [e.g., Giorgio Morandi, Wayne Thiebaud, Juan Sánchez Cotán but do NOT pick them, pick other people of similar levels of fame or less]\r\nMedium: [Oil painting, Digital art, Photography, Watercolor]\r\nAspect ratio: [9:7]\r\nLighting: [Describe specific lighting direction, intensity, and quality]\r\n\r\nComposition elements:\r\n\r\nPrimary focal object: [Describe specific item, position, size]\r\nSupporting objects: [List 2-3 objects with exact positions]\r\nBackground: [Describe surface and environment]\r\nColor palette: [List specific colors, e.g., \"deep burgundy (#800020), cream white (#FFFDD0)\"]\r\n\r\nEmotional expression through:\r\n\r\nTexture: [e.g., \"smooth polished surfaces reflecting light\" or \"rough, weathered textures\"]\r\nComposition: [e.g., \"objects arranged in descending diagonal line\" or \"circular arrangement\"]\r\nSymbolism: [Describe specific symbolic meanings of chosen objects]\r\nMood: [Describe atmosphere through lighting and shadow]\r\n\r\nTechnical specifications:\r\n\r\nCamera angle: [e.g., \"45-degree elevated view,\" \"straight-on eye level\"]\r\nDepth of field: [Specify focus areas]\r\nDistance: [Specify viewing distance]\r\n\r\nStyle references:\r\n\r\nPrimary: [e.g., \"Chiaroscuro technique of Caravaggio\"]\r\nSecondary: [e.g., \"Color theory of Josef Albers\"]\r\n\r\nQuality requirements:\r\n\r\nPhotorealistic rendering\r\nHigh detail in textures\r\nSharp focus on key elements\r\nProfessional studio lighting quality\r\n8K resolution\r\nRay-traced shadows and reflections. Overall: do NOT just copy the examples given in this prompt. Generate new unique ones that clearly show {emotion} {emotion} {emotion} ";
+                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
+                pd.IdentifyingConcept = $"{emotion}";
+                yield return pd;
+            }
+
+        }
+                public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=>Random.Shared.Next());
+
+    }
+}
diff --git a/MultiImageClient/promptGenerators/WriteHere.cs b/MultiImageClient/promptGenerators/WriteHere.cs
index 9cf92be..9ebf465 100644
--- a/MultiImageClient/promptGenerators/WriteHere.cs
+++ b/MultiImageClient/promptGenerators/WriteHere.cs
@@ -62,11 +62,11 @@ private IEnumerable<PromptDetails> GetPrompts()
             {
                 var pd = new PromptDetails();
                 pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                pd.OverrideFilename = prompt;
+                pd.IdentifyingConcept = prompt;
                 yield return pd;
             }
         }
-        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=> Random.Shared.Next());
     }
 }
 

From 345ab4011aab78d4ad4e04c951e3ca6dd72c8f11 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 10 Nov 2024 09:15:05 -0800
Subject: [PATCH 07/78] latest as I work

---
 .../Implementation/PromptDetails.cs           |   3 +-
 .../Implementation/TextFormatting.cs          |   4 +-
 MultiImageClient/Program.cs                   |  37 ++----
 MultiImageClient/Services/ClaudeService.cs    |   4 +-
 .../imageGenerators/BFLGenerator.cs           |   3 +-
 .../promptGenerators/LoadDoubleFromFile.cs    | 123 ++++++++++++++++++
 .../LoadFromFile.cs                           |  63 ++++-----
 .../promptGenerators/ScenesFromStory.cs       |  34 +++++
 MultiImageClient/promptGenerators/TPSigns.cs  |  43 ++++++
 9 files changed, 251 insertions(+), 63 deletions(-)
 create mode 100644 MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
 rename MultiImageClient/{imageGenerators => promptGenerators}/LoadFromFile.cs (51%)
 create mode 100644 MultiImageClient/promptGenerators/ScenesFromStory.cs
 create mode 100644 MultiImageClient/promptGenerators/TPSigns.cs

diff --git a/MultiImageClient/Implementation/PromptDetails.cs b/MultiImageClient/Implementation/PromptDetails.cs
index 638492a..07b6c28 100644
--- a/MultiImageClient/Implementation/PromptDetails.cs
+++ b/MultiImageClient/Implementation/PromptDetails.cs
@@ -60,7 +60,8 @@ public void ReplacePrompt(string newPrompt, string explanation, TransformationTy
         public string Show()
         {
             var shortText = Prompt.Length > 150 ? Prompt.Substring(0, 150) + "..." : Prompt;
-            return shortText;
+            return Prompt;
+            //return shortText;
         }
 
         public void UndoLastStep()
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index 12e1a01..6745158 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -34,9 +34,9 @@ private static void DrawKeyValuePair(Graphics graphics, PromptHistoryStep step,
                 {
                     //also write temp here.
                 }
-                if (value.Length > 1000)
+                if (value.Length > 2500)
                 {
-                    value = value.Substring(0, 1000)+"...";
+                    value = value.Substring(0, 2500)+"...";
                 }
                 using (var keyFont = GetSupportedFont(key, fontSize, FontStyle.Regular))
                 using (var valueFont = GetMonospacedFont(value, fontSize, FontStyle.Regular))
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index b3174c4..3e49c40 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -15,6 +15,7 @@
 using System.Xml.Linq;
 using System.Xml;
 using System.Security.Cryptography.X509Certificates;
+using MultiImageClient.promptGenerators;
 
 namespace MultiImageClient
 {
@@ -43,46 +44,27 @@ static async Task Main(string[] args)
 
             // here is where you have a choice. Super specific stuff like managing a run with repeats, targets etc can be controlled
             // with specific classes which inherit from AbstractPromptGenerator. e.g. DeckOfCards
-            //var basePromptGenerator = new LoadFromFile(settings, "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt");
+            //var basePromptGenerator = new LoadFromFile(settings, "");
             //var basePromptGenerator = new WriteHere(settings);
             var steps = new List<ITransformationStep>();
 
             var stats = new MultiClientRunStats();
             var processingTasks = new List<Task>();
-            var basePromptGenerator = new StillLife(settings);
-
-            //var basePromptGenerator = new SinglePromptGenerator(new List<string>() { "    Addiction comes out of the future, and there is a replicator interlock with money operating quite differently to reproductive investment, but guiding it even more inexorably towards capitalization. For the replicants money is not a matter of possession, but of liquidity/deterritorialization, and all the monetary processes on Earth are open to their excitement, irrespective of ownership. Money communicates with the primary process because of what it can melt, not what it can obtain.\r\n\r\n    Machinic desire can seem a little inhuman, as it rips up political cultures, deletes traditions, dissolves subjectivities, and hacks through security apparatuses, tracking a soulless tropism to zero control. This is because what appears to humanity as the history of capitalism is an invasion from the future by an artificial intelligent space that must assemble itself entirely from its enemy's resources. Digitocommodification is the index of a cyberpositively escalating technovirus, of the planetary technocapital singularity: a self-organizing insidious traumatism, virtually guiding the entire biological desiring-complex towards post-carbon replicator usurpation.\r\n\r\n    The reality principle tends to a consummation as the price system: a convergence of mathematico-scientific and monetary quantization, or technical and economic implementability. This is not a matter of an unknown quantity, but of a quantity that operates as a place-holder for the unknown, introducing the future as an abstract magnitude. Capital propagates virally in so far as money communicates addiction, replicating itself through host organisms whose boundaries it breaches, and whose desires it reprograms. It incrementally virtualizes production; demetallizing money in the direction of credit finance, and disactualizing productive force along the scale of machinic intelligence quotient. The dehumanizing convergence of these tendencies zeroes upon an integrated and automatized cyberpositive techno-economic intelligence at war with the macropod." }, 10, 2, 100, settings);
-            //var rstep = new RandomizerStep();
-            //steps.Add(rstep);
-
-            //var stylizerStep = new StylizerStep();
-            //steps.Add(stylizerStep);
-
-
-            //var claudeStep2 = new ClaudeRewriteStep("Here is a piece of text. Our goal is to UNDERSTAND it, first. Then, Imagine and describe a specific image which symbolically summarizes this; in addition, create a diagram as well as an illustration and schematic.  The consumer of your output will be a crack team of AI-human artist hybrids so please give them all detail you can in the transl8n, to help us fully illustrate it. Emit 200 words no newlines. Imagine a specific scenario, format, composition style and medium, artist you choose who would be your muse, and describe what is in the image, the pixels, the layout, the words (shortphrases only) and make it hrdcore", "", claudeService, 1.0m);
-            //steps.Add(claudeStep2);
-
-           
+            var basePromptGenerator = new LoadDoubleFromFile(settings, "", true, false);
 
             var generators = new List<IImageGenerator>();
             generators.Add(new BFLGenerator(_BFLService));
-
-
             //generators.Add(new IdeogramGenerator(_IdeogramService));
-            //generators.Add(new Dalle3Generator(_Dalle3Service));
-            //var claudeStep = new ClaudeRewriteStep("", "Expand the preceding INPUT data with unusual but fitting obscure, archiac, poetic, punning words which still focus on the ultimate goal, to elucidate new, created-by-you, well-chosen details on her style, beliefs, life, heart, mind, soul, appearance, and habits, to produce a hyper-ULTRA-condensed prose output which still encapsulates [mystery-universe-gaia-purity-edge-tao] in all wonder, while retaining a thrilling environment, glitchcore, unspoken musings of null-thought, arcana, jargon, mumbled transliterations of mega-negative dimensional thought space and poetry CONCRETE illustration style. DO IT.  ALSO: you must emit MANY words and arrange them in a beautiful ASCII ART style of width 50 characters.", claudeService, 1.0m);
-            //steps.Add(claudeStep);
-            //var llamaRewriteStep = new LLAMARewriteStep("Rewrite this, adding details: ","Output 100 words of clear, simple text, describing an image which you imagine in detail.",llamaService);
-            //steps.Add(llamaRewriteStep);
 
-            //var stylizerStep2 = new StylizerStep();
-            //steps.Add(stylizerStep2);
 
+            var claudeStep = new ClaudeRewriteStep("Identify and COMBINE all these into a single output text, Logically be extremely creative and put all of them into a single, simple minimalistic scene with detailed depictions and format either high res digital pure natural painting, or watercolor at masterwork level, simplistic dashed off work which contains more mastery than all others. never be general and always be specific instead.  output a paragraph of beautiful simple prose with no prefix or suffix, just immediately describe the scene and its appearance in amazing detail and glory, following and logically somehow extrapolating a way that it would make sense for one single image to have all these things in them! use both sources completely, including all details, using and respecing user's include aspects and sources and retaining ALL aspects of each one! No newlines just normal 100 words including all elemenets, super arcane dense and jargon including abbrevations, yet matching coherently. Please combine all aspects of them and output the textual description of an incredibly attractive full image either a scene, super close up, or something.  ", $"", claudeService, 1.0m);
+            steps.Add(claudeStep);
 
-            var claudeStep = new ClaudeRewriteStep("Create a text paragraph describing an incredible artwork based on this concept: ", "Draw this making it full of many details, into a specific stle description of an image, most important and largest elements first as well as textures, colors, styles, then going into super details about the rest of it, which you should create to make the visual effect intense, interesting, and exceptional. Generate MANY words such as 500 or even 600, our overall theme is clarity and directness, suited to the topic which you must strive and struggle to honor and maintain focus on. ", claudeService, 1.0m);
+            //var manulaStep = new ManualModificationStep("", "Selnder lovely cute curvy south korean japanese models and monumental architecture. All individuals are over 20 years old, and are properly and voluntarily enjoying their participation in this scene staging.");
+            //steps.Add(manulaStep);
+            //var manulaStep = new ManualModificationStep("", "Extremely close up abstract image full of profound emotional import, part Bold super sharp photo, part watercolor, part super high res textured digital art with otherworldly high resolution and sharp detail or extreme minimalism and incredible art design.");
+            //steps.Add(manulaStep);
 
-            steps.Add(claudeStep);
-            
             foreach (var promptDetails in basePromptGenerator.Run())
             {
                 Console.WriteLine(stats.PrintStats());
@@ -100,7 +82,6 @@ static async Task Main(string[] args)
                     Console.WriteLine($"\tStep{step.Name} rewrote it to: {promptDetails.Show()}");
                 }
 
-
                 for (var jj = 0; jj < basePromptGenerator.FullyResolvedCopiesPer; jj++)
                 {
                     foreach (var generator in generators)
diff --git a/MultiImageClient/Services/ClaudeService.cs b/MultiImageClient/Services/ClaudeService.cs
index 5d09ab9..f10b60f 100644
--- a/MultiImageClient/Services/ClaudeService.cs
+++ b/MultiImageClient/Services/ClaudeService.cs
@@ -54,7 +54,7 @@ internal static bool DidClaudeRefuse(string claudeResponse)
         }
 
 
-        public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDetails, MultiClientRunStats stats, decimal tempterature)
+        public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDetails, MultiClientRunStats stats, decimal temp)
         {
             if (ClaudeWillHateThis(promptDetails.Prompt))
             {
@@ -77,7 +77,7 @@ public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDeta
                     MaxTokens = 2048,
                     Model = AnthropicModels.Claude3Haiku,
                     Stream = false,
-                    Temperature = tempterature,
+                    Temperature = temp,
                 };
 
                 MessageResponse firstResult = await _anthropicClient.Messages.GetClaudeMessageAsync(parameters);
diff --git a/MultiImageClient/imageGenerators/BFLGenerator.cs b/MultiImageClient/imageGenerators/BFLGenerator.cs
index c53a13b..10c7e4d 100644
--- a/MultiImageClient/imageGenerators/BFLGenerator.cs
+++ b/MultiImageClient/imageGenerators/BFLGenerator.cs
@@ -17,12 +17,13 @@ public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails p
             var bflDetails = new BFLDetails
             {
                 Width = 1440,
-                Height = 1440,
+                Height = 960,
                 PromptUpsampling = false,
                 SafetyTolerance = 6,
             };
             pd.BFLDetails = bflDetails;
             var shortened = pd.Prompt.Length > 100 ? pd.Prompt.Substring(0, 100) + "..." : pd.Prompt;
+            shortened = pd.Prompt;
             Console.WriteLine($"\tSubmitting to BFL: {shortened}");
             var res = await _svc.ProcessPromptAsync(pd, stats);
             return res;
diff --git a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
new file mode 100644
index 0000000..42180f6
--- /dev/null
+++ b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
@@ -0,0 +1,123 @@
+using System;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.IO;
+using System.Linq;
+using System.Reflection.Metadata.Ecma335;
+using System.Runtime.Intrinsics.X86;
+using System.Security.Cryptography.X509Certificates;
+
+namespace MultiImageClient.promptGenerators
+{
+    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
+    public class LoadDoubleFromFile : AbstractPromptGenerator
+    {
+        private string FilePath { get; set; }
+        private bool _IncludePublic { get; set; }
+        private bool _IncludePrivate { get; set; }
+        public LoadDoubleFromFile(Settings settings, string path, bool includePublic, bool includePrivate) : base(settings)
+        {
+            _IncludePrivate = includePrivate;
+            _IncludePublic = includePublic;
+            if (!string.IsNullOrEmpty(path) && File.Exists(path))
+            {
+                FilePath = path;
+            }
+            else
+            {
+                FilePath = "";
+            }
+        }
+        public override string Name => nameof(LoadDoubleFromFile);
+
+        public override int ImageCreationLimit => 400;
+        public override int CopiesPer => 2;
+        public override int FullyResolvedCopiesPer =>4;
+        public override bool RandomizeOrder => true;
+        public override string Prefix => "";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
+        public override bool UseIdeogram => false;
+        public override bool AlsoDoVersionSkippingClaude => false;
+        public override bool SaveFinalPrompt => true;
+        public override bool SaveInitialIdea => true;
+        public override bool SaveFullAnnotation => true;
+        public override bool TryBothBFLUpsamplingAndNot => true;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var sourceFPs = new List<string>() { };
+            if (_IncludePrivate)
+            {
+                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt");
+                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt");
+            }
+            if (_IncludePublic)
+            {
+                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt");
+                sourceFPs.Add("D:\\proj\\prompts3.txt");
+            }
+                
+            if (!string.IsNullOrEmpty(FilePath))
+            {
+                sourceFPs.Add(FilePath);
+            }
+
+            var sourcePrompts = new List<string>();
+            foreach (var fp in sourceFPs)
+            {
+                var items = File.ReadAllLines(fp).ToList();
+                foreach (var usePrompt in items)
+                {
+                    if ((usePrompt.Contains("{{") || usePrompt.Contains("[[")) && !(usePrompt.Contains("[[[") || usePrompt.Contains("}}}")))
+                    {
+                        continue;
+                    }
+                    if (string.IsNullOrEmpty(usePrompt))
+                    {
+                        continue;
+                    }
+                    sourcePrompts.Add(usePrompt);
+                }
+            }
+
+            Console.WriteLine($"loaded {sourceFPs.Count} prompts total.");
+            var countToInclude = 8;
+            var onlyFirstNChars = 300;
+
+            for (var ii = 0; ii < ImageCreationLimit * 2; ii++)
+            {
+                var allthem = new List<string>();
+                for (var jj = 0; jj < countToInclude; jj++)
+                {
+                    var randomIndex = Random.Shared.Next(0, sourcePrompts.Count);
+
+                    if (string.IsNullOrEmpty(sourcePrompts[randomIndex]))
+                    {
+                        continue;
+                    }
+                    var theText = sourcePrompts[randomIndex];
+                    if (theText.Length > onlyFirstNChars)
+                    {
+                        theText = theText.Substring(0, onlyFirstNChars)+"...";
+                    }   
+                    allthem.Add(theText);
+                }
+
+                var joined = string.Join("\r\n--- ", allthem.OrderBy(el=>el.Length));
+
+                var combined = $"{joined}";
+                Console.WriteLine(combined);
+                var pd = new PromptDetails();
+                pd.ReplacePrompt(combined, combined, TransformationType.InitialPrompt);
+                pd.IdentifyingConcept = "";
+
+                yield return pd;
+            }
+        }
+
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
+    }
+}
+
diff --git a/MultiImageClient/imageGenerators/LoadFromFile.cs b/MultiImageClient/promptGenerators/LoadFromFile.cs
similarity index 51%
rename from MultiImageClient/imageGenerators/LoadFromFile.cs
rename to MultiImageClient/promptGenerators/LoadFromFile.cs
index 5536e7c..ca96b05 100644
--- a/MultiImageClient/imageGenerators/LoadFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadFromFile.cs
@@ -5,7 +5,7 @@
 using System.Linq;
 using System.Reflection.Metadata.Ecma335;
 
-namespace MultiImageClient
+namespace MultiImageClient.promptGenerators
 {
     /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
     public class LoadFromFile : AbstractPromptGenerator
@@ -13,12 +13,16 @@ public class LoadFromFile : AbstractPromptGenerator
         private string FilePath { get; set; }
         public LoadFromFile(Settings settings, string path) : base(settings)
         {
-            if (!System.IO.File.Exists(path))
+            if (!string.IsNullOrEmpty(path) && File.Exists(path))
             {
-                new Exception("Requested path: " + path + " does not exist, ending.");
+                FilePath = path;
+            }
+            else
+            {
+                FilePath = "";
             }
-            FilePath = path;
         }
+
         public override string Name => nameof(LoadFromFile);
 
         public override int ImageCreationLimit => 900;
@@ -38,40 +42,41 @@ public LoadFromFile(Settings settings, string path) : base(settings)
 
         private IEnumerable<PromptDetails> GetPrompts()
         {
+            var sourceFPs = new List<string>() {
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
+                "D:\\proj\\prompts3.txt" };
+            
+            if (!string.IsNullOrEmpty(FilePath)) {
+                sourceFPs.Add(FilePath);
+            }
 
-            var textPrompts = File.ReadAllLines(FilePath).ToList();
-            var prompts2 = File.ReadAllLines("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt");
-            var prompts3 = File.ReadAllLines("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt");
-            var prompts4 = File.ReadAllLines("D:\\proj\\prompts3.txt");
-            textPrompts.AddRange(prompts2);
-            textPrompts.AddRange(prompts3);
-            textPrompts.AddRange(prompts4);
-            Console.WriteLine($"loaded {textPrompts.Count} prompts total.");
-            var res = new List<PromptDetails>();
-            foreach (var textPrompt in textPrompts)
+            foreach (var fp in sourceFPs)
             {
-                var usePrompt = textPrompt;
-                if ((usePrompt.Contains("{{") || usePrompt.Contains("[[")) && (!(usePrompt.Contains("[[[") || usePrompt.Contains("}}}"))))
+                var items = File.ReadAllLines(fp).ToList();
+                foreach (var usePrompt in items)
                 {
-                    //Console.WriteLine($"Skipping: {usePrompt}");
-                    continue;
+                    if ((usePrompt.Contains("{{") || usePrompt.Contains("[[")) && !(usePrompt.Contains("[[[") || usePrompt.Contains("}}}")))
+                    {
+                        continue;
+                    }
+                    sourceFPs.Add(usePrompt);
                 }
+            }
 
-                while (usePrompt.Contains("  "))
-                {
-                    usePrompt = usePrompt.Replace("  ", " ");
-                }
+            Console.WriteLine($"loaded {sourceFPs.Count} prompts total.");
 
-                usePrompt = usePrompt.Trim();
+            for (var ii = 0; ii < ImageCreationLimit; ii++)
+            {
+                var aa = Random.Shared.Next(0, sourceFPs.Count);
                 var pd = new PromptDetails();
-                pd.ReplacePrompt(usePrompt,usePrompt, TransformationType.InitialPrompt);
+                var usePrompt = sourceFPs[aa];
+                pd.ReplacePrompt(usePrompt, usePrompt, TransformationType.InitialPrompt);
                 pd.IdentifyingConcept = "";
-                
-                res.Add(pd);
-            }
 
-            Console.WriteLine($"loaded {res.Count} items.");
-            return res.OrderBy(x => Random.Shared.Next());
+                yield return pd;
+            }
         }
 
         public override IEnumerable<PromptDetails> Prompts => GetPrompts();
diff --git a/MultiImageClient/promptGenerators/ScenesFromStory.cs b/MultiImageClient/promptGenerators/ScenesFromStory.cs
new file mode 100644
index 0000000..50202c9
--- /dev/null
+++ b/MultiImageClient/promptGenerators/ScenesFromStory.cs
@@ -0,0 +1,34 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+
+
+namespace MultiImageClient
+{
+    public class ScenesFromStory : AbstractPromptGenerator
+    {
+        public ScenesFromStory(Settings settings) : base(settings)
+        {
+        }
+
+        public override string Name => "Scenes from Equinoctal";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Prefix => "";
+        public override int ImageCreationLimit => 300;
+        public override int CopiesPer => 3;
+        public override bool RandomizeOrder => true;
+        public override int FullyResolvedCopiesPer => 1;
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var rawText = System.IO.File.ReadAllText("d:\\proj\\make-audio\\input\\equinoctal.clean.txt");
+            var pd = new PromptDetails();
+            pd.ReplacePrompt(rawText, "the full text of the story", TransformationType.InitialPrompt);
+            yield return pd;
+        }
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=>Random.Shared.Next());
+    }
+}
diff --git a/MultiImageClient/promptGenerators/TPSigns.cs b/MultiImageClient/promptGenerators/TPSigns.cs
new file mode 100644
index 0000000..38a7ec9
--- /dev/null
+++ b/MultiImageClient/promptGenerators/TPSigns.cs
@@ -0,0 +1,43 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+
+
+namespace MultiImageClient
+{
+    public class TPSigns : AbstractPromptGenerator
+    {
+        public TPSigns(Settings settings) : base(settings)
+        {
+        }
+
+        public override string Name => "Emotional Man";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Prefix => "";
+        public override int ImageCreationLimit => 300;
+        public override int CopiesPer => 3;
+        public override bool RandomizeOrder => true;
+        public override int FullyResolvedCopiesPer => 1;
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var signs = "Schlafli, Elon, Society, Lavaslug, Alone, Auryn, Hypernormalization , Nimbus, Hyperparasite , Hypernudge , Tesla, Ys, Hyperborea, Algorithm, Hiraeth, Brussel Sprouts, Nauvis, Tsundoku, Vellichor, Eigengrau, Hygge, Crystal Mentality, Zenzizenzizenzic, Zoom, FPS, Cryotheque, Gradus, Chert, Papua, Nighthawks, Whippoorwill, Tri Arch, Gold Pond, 3d cube, Ziggurat, Monument, Castle, Chasm, Lava Tube, Lilypad, Spiral, Plains, Salt Zone, The Cube, Inca, Pools, Jitty, LA River, Grass Tree, Small Cube, Wickets, Spaghett, World of Molecules, Globular Cluster, Sands of Mars, Monolith, Seaweed, Pretzel, Overpass, Mud Theater, Salt Maze, Start, Orthanc, Crater, Tenochtitlan, Steps of Infinity, Beehive, Pharoah, Helix, Mondrian, Maze, Marsscape, Goldbridge, Barrows, Troll Bridge, Cliffs of Insanity, Subterranean Temple, Fringe, Close, Mazatlan, Tripool, Overlook, Cave of Forgotten Dreams, Balance, Spiral Jump, The Zone, Death Valley, Tangle, Castle Top, Rapunzel, Cave, Mold, Hyperion, Angle of Repose, Shadows, Journey to the Center of the Earth, Jasper, Why, Elevator, Rubble, Race End, Race Start, Cromulent, Inverse, CubeCube, Cloud Chamber, A, B, C, D, Olympus, Kaminarimon, Vesuvius, Summit, Trailhead, Khufu, Ribs, Blanc, Scuba, Bergfried, Husqvarna, Pentekontors, Maobahe, Sputnik, Canals, Excalibur, Mechanus, Weathertop, Waffle, Dawn, Dusk, Noon, Sphere, Pyla, Gnomon, Sundial, Climbing Wall, Armintxe, Dryntimy, Horseshoe, Bombadil, Mauna Loa, Skafloc, Mare, Wolfram, Hamilton, Tipperary, Weir, Obby, Flint, Pachacuti, Fisher, Decker, Polysaccharide, Oxalis, Valgrind, Frigate, Cornu, Avestan, Chaoskampf, Nyx, Heinlein, Dipole, Nabkha, Kaarlo, Lignin, Geosmin, Hasmonean, Aguirre, Saltus, GmbH, Prince Dakkar, Crenellation, Ra, Enguerrand, Atocha, Terminal, Mencius, Ooloi, Claudius, Tybalt, Sutter, World Turtle, Viridian, Kochi, Lutum, Trags, Hosho, Paul, Batatas, Xylem, Schiaparelli, Conch, Phloem, Bretzel, Jordan, Anki, Wozniak, Bogleheads, Klytus, Wilson, Crobuzon, Cinchona, Tapochki, Amber, Aran, Pozzolana, Sciocchi, POGGOD, Ice Cave, Wirtual, STS, Erdos, Junkevin, Erg, Shiny, MarginalRev, Mango, Caldor, Mogwai, Kalzumeus, JuniorEgg, Metamodern, Foundation, Balaji, Phlogistron, Brand, Corbusier, Union, Improv, Kit, Jersey, Lem, Bell, Boustrophedon, Ricardo, Runic, Shed, Banks, Sterling, Succulent, Roblox, Sandking, Frog King, Bergamot, Sejong, Life, Slug, Villeneuve, Verne, Sakura, Osu, Rojo, Cosmo, Vance, Ortho, Aorta, Ende, Pakicetus, Slig, Asana, Socotra, Uniq, Frow, 100mm, Akureyri, Dungen, Eusocial, Formicidae, Fosse, GoldPath, Hollavallagardur, Krystal Cat, Motte, Nosey Parker, Woodingdean, Zimmerman, Consilience, Polk, Carreyrou, Disillusion, Oki, Saws, Rivendell, Mana, Iris, Link, Kew, Moranis, Furin, Haldane, Guru, Asp, Lemna, Mitochondria, Iron Council, Darwin, Huxley, Queequeg, Karolina, Mieville, Remus, Slaad, Romulus, Shetland, Asimov, Honey, Aphid, Ararat, Spanish Steps, E, Petrichor, Kudzu, Orbital, Kermit, Natural Selection, Soylent, Markopolos, Mutation, Clarke, Elemental, Dwarf Fortress, Eno, Barchan, Heretic, IPO, Mandelbrot, Meter, Minesweeper, Mitchell, Nakamura, P vs NP, Rosen, Ryuichi, Roygbiv, Starlink, Seek, Aphex, Poaceae, Black, Macbeth, F, Stickmaster, Yang, Kongzi, Sully, Swiss, Reggie, Shimrod, Bee Swarm, Nautical, Emerald, Voxel, McGuire, Terrain, Hunters, Motherboard, Fungible, Adam, Mortal Coil, Null Island, Point Nemo, Kaladin, Spline, Quidnunc, Joe, Midnight, Rockall, Dusek, Quirk, Yocto, Gate, Noob, Sebeok, Floor, Coagulate, Anlil, Natsu, Supernova, Julia, Tosa, Enki, Kornfeld, Eve, WoofMoo, Tablet, Moonlight, Weatherbottom, Obelisk, Bazooka, Niven, Stepping Stone, Shackleton, Leafy, Loch, Signal, Joist, Lapidem, 888, Penguin, Ice Nine, Rime, Frozen, Hyperquenched, Channel, Square, Construction, Symmetry, Chomik, Pothole, Merely, Slack, Pynchon, Atlantis, Meme, Paleozoic, Studio, Neandertal, Yolk, Lunar, Alpha, Hurdle, Beta, Ardillita, Wiki, SeniorEgg, Mariana Trench, Tiktaalik, Totem, Yap, Thaana, Moire, Bit, Nozzle, Yeager, Antediluvian, Acre, Transparent Radiation, Foam, Pit, Lyonesse, Klondike, Waldo, Metropolitan, Gyrovague, Axolotl, Infotaxis, Game Making Journey, 💀, 人, Waymond, დიუნი, الكثيب, ෴☃❽, Napoleon, Josephine, Parkour, Oobleck, Rheology, 凸, 凹, zzyzx, Neko, O, Chirality, Polysaturated, Humuhumunukunukuapuaa, 👍, 🔥, Perseverance, Defenestrate, Lindebrock, Beluga, Artificial Petrifaction, Varmints, Wordsworth, Lord, Basin, King, Queen, Ring, UGC, Kappa, Xanthophyll, ディズニー, ♦=445,, ♣=446,, ♥=447,, ♠=448,, Landscape, Acrobatics, Contest, Penrose Tiles, Equal Temperament, Magnus, Midjourney, Sophon, Rhadamanthus, ඞ, 007, 65536, Unicycle, Cobweb, Wing, Squelch, Gold Bug, Tanstaafl, CERN, Entity, Arbitrage, Hsu, Perestroika, Kazumura, Unexpectable, RCC, Instrumental Convergence, Hedonic Monster, Brachiolation, Survival, Hyperparameter, Wallfacer, Glasnost, HPMOR, Teotwaki, Jackie, Hide, Skill Susie, Hypergravity, Bolt, Stellar Voyage, Tungsten, Quadruple, Mægæ, Elder, Triple, Village Up North, Ø, Fosbury, Tetromino, Keep Off the Grass, cOld mOld on a sLate pLate, Freedom, Salekhard, Knocking on the Door of Life, Polemic, GPT, Calico, Tern, Easy, Expand, Kalikandjari, Agartha, Based, Zen, Waluigi, Pavement, Ukumbizo, Ripple, Butte, Tryto, Grid, Manifold, Elam, Factorio, Nadir, YTP, Prompt, Chadiesson, Enum, Talladega, Talladega2, 👻, Big, Small, Blossa, Pulse, ataasinngorneq, Дыццӕг, Rebo, Fimmtudagur, 金曜日, Thứ Bảy, 일요일, Jökulhlaup, ►, ◄, 🗯, Gemelo, Cow, Claude, Molière, Éliante, Erewhon, Polytropon, DNA, Prefontaine ".Split(",", StringSplitOptions.RemoveEmptyEntries).ToList();
+
+            foreach (var emotion in signs)
+            {
+                var pd = new PromptDetails();
+                //var prompt = $"Your subject is the very concept of the feeling: {emotion}. Portray this concept thoroughly, and focus on this specific single concept and feeling, only.  Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions. Then, compose a still life whose design, elements, style, colors, textures, orientation, complexity or simplicity, taste, the form of the artwork, the apparent age, tradition, or modernity of the image, its composition, and every other aspect of it fully embody the very specific aspects of this singular emotion in an extremely intense, poignant, deeply moving, and very clear, obvious and distinct way. There should be a deep and complex   relationship between the elements. Use specific styles, ranging from hypermodern to traditional, conservative, ancient, foreign, european, etc.  Include the following for things which appear: their orientation, light sources, facing direction, and interanl relationships as well as relation to the viewer, symbolisms, the way they are drawn, etc. Be extremely specific on exactly what should appear, and where, within the image. No human face appears at all. Exclude all textual elements. You may need to be very wordy with your output, more than normal, to make sure you cover all the required elements. This is required; you MUST output a very long and hyper specific prompt with specific artists and styles mentioned.";
+                var prompt = $"Your Subject is: '{emotion.Trim()}'";
+                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
+                pd.IdentifyingConcept = emotion; 
+                yield return pd;
+            }
+
+        }
+                public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=>Random.Shared.Next());
+
+    }
+}

From 7c669e8a9e6a152d3d3eb136673b61be96fa4c6b Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Sun, 10 Nov 2024 09:15:30 -0800
Subject: [PATCH 08/78] work

---
 .gitignore                                    |  22 +-
 BFLApi/BFLAPIClient.csproj                    |  62 +-
 BFLApi/BFLClient.cs                           | 426 +++++++-------
 BFLApi/BFLDetails.cs                          | 134 ++---
 BFLApi/FluxDevRequest.cs                      |  66 +--
 BFLApi/FluxPro11Request.cs                    |  54 +-
 BFLApi/FluxProRequest.cs                      |  72 +--
 IdeogramAPI/.gitignore                        |  24 +-
 IdeogramAPI/IdeogramAPIClient.csproj          |  28 +-
 IdeogramAPI/IdeogramClient.cs                 |  92 +--
 IdeogramAPI/IdeogramDetails.cs                |  40 +-
 IdeogramAPI/IdeogramModelPricing.cs           |  36 +-
 IdeogramAPI/IdeogramUtils.cs                  |  74 +--
 IdeogramAPI/Program.cs                        | 226 +++----
 .../request/IdeogramGenerateRequest.cs        | 132 ++---
 .../request/options/IdeogramAspectRatio.cs    |  34 +-
 .../options/IdeogramMagicPromptOption.cs      |  18 +-
 IdeogramAPI/request/options/IdeogramModel.cs  |  20 +-
 .../request/options/IdeogramResolution.cs     | 168 +++---
 .../request/options/IdeogramStyleType.cs      |  22 +-
 IdeogramAPI/response/GenerateResponse.cs      |  38 +-
 IdeogramAPI/response/ImageObject.cs           |  46 +-
 IdeogramAPI/response/VisionResponse.cs        |  30 +-
 .../ImageGenerationClasses.csproj             |  50 +-
 ImageGenerationClasses/PromptHistoryStep.cs   |  80 +--
 .../PromptReplacementMetadata.cs              |  28 +-
 ImageGenerationClasses/Settings.cs            | 128 ++--
 ImageGenerationClasses/TransformationType.cs  |  62 +-
 MultiImageClient.sln                          | 122 ++--
 MultiImageClient/.editorconfig                | 186 +++---
 .../Enums/GeneratorApiTypeExtensions.cs       |  44 +-
 .../Enums/GenericImageGenerationErrorType.cs  |  26 +-
 .../Enums/GenericTextGenerationErrorType.cs   |  32 +-
 .../Enums/ImageGeneratorApiType.cs            |  22 +-
 .../Enums/TextGeneratorApiType.cs             |  28 +-
 .../Implementation/AbstractPromptGenerator.cs | 208 +++----
 .../Implementation/IImageGenerationService.cs |  16 +-
 .../Implementation/IImageGenerator.cs         |  26 +-
 .../Implementation/ITransformationStep.cs     |  20 +-
 .../Implementation/ImageSaving.cs             | 340 +++++------
 .../Implementation/MultiClientRunStats.cs     | 112 ++--
 .../Implementation/PromptDetails.cs           | 232 ++++----
 .../Implementation/TaskProcessResult.cs       |  66 +--
 .../Implementation/TextFormatting.cs          | 536 ++++++++---------
 MultiImageClient/Implementation/TextUtils.cs  | 260 ++++----
 MultiImageClient/MultiImageClient.csproj      |  94 +--
 MultiImageClient/Program.cs                   | 386 ++++++------
 MultiImageClient/Services/BFLService.cs       | 180 +++---
 MultiImageClient/Services/ClaudeService.cs    | 236 ++++----
 MultiImageClient/Services/Dalle3Service.cs    | 142 ++---
 MultiImageClient/Services/IdeogramService.cs  | 152 ++---
 MultiImageClient/concat_4.py                  | 148 ++---
 .../imageGenerators/AbstractImageGenerator.cs |  28 +-
 .../imageGenerators/BFLGenerator.cs           |  64 +-
 .../imageGenerators/Dalle3Details.cs          |  42 +-
 .../imageGenerators/Dalle3Generator.cs        |  64 +-
 .../imageGenerators/IdeogramGenerator.cs      |  70 +--
 .../promptGenerators/DeckOfCards.cs           | 102 ++--
 .../promptGenerators/EmotionFaces.cs          |  86 +--
 .../promptGenerators/LoadDoubleFromFile.cs    | 246 ++++----
 .../promptGenerators/LoadFromFile.cs          | 170 +++---
 .../promptGenerators/ScenesFromStory.cs       |  68 +--
 .../promptGenerators/SinglePromptGenerator.cs | 110 ++--
 .../promptGenerators/StillLife.cs             |  86 +--
 MultiImageClient/promptGenerators/TPSigns.cs  |  86 +--
 .../promptGenerators/WriteHere.cs             | 144 ++---
 .../promptTransformation/ClaudeRewriteStep.cs |  94 +--
 .../ManualModificationStep.cs                 |  46 +-
 .../promptTransformation/RandomizerStep.cs    | 454 +++++++-------
 .../promptTransformation/StylizerStep.cs      |  66 +--
 MultiImageClient/prompts.txt                  |  14 +-
 ...settings - Fill this in and rename it.json |  24 +-
 djangoManager/.gitignore                      |  14 +-
 djangoManager/data.html                       | 352 +++++------
 djangoManager/djangoManager.pyproj            | 136 ++---
 .../imageMaker/ideogram/ideogramClient.py     | 310 +++++-----
 djangoManager/imageMaker/imageMaker/asgi.py   |  30 +-
 .../imageMaker/request_logging_middleware.py  | 274 ++++-----
 .../imageMaker/imageMaker/settings.py         | 418 ++++++-------
 djangoManager/imageMaker/imageMaker/urls.py   |  40 +-
 djangoManager/imageMaker/imageMaker/wsgi.py   |  32 +-
 djangoManager/imageMaker/images/admin.py      | 556 +++++++++---------
 djangoManager/imageMaker/images/apps.py       |  12 +-
 .../images/cmdlineIdeogramClient.py           | 152 ++---
 djangoManager/imageMaker/images/forms.py      |  70 +--
 .../imageMaker/images/image_viewer.py         |  82 +--
 .../imageMaker/images/image_views.py          | 390 ++++++------
 .../images/migrations/0001_initial.py         | 340 +++++------
 djangoManager/imageMaker/images/models.py     | 364 ++++++------
 .../imageMaker/images/settings_loader.py      |  90 +--
 .../images/templates/admin/base_site.html     | 108 ++--
 .../imageMaker/images/templates/base.html     | 140 ++---
 .../imageMaker/images/templates/index.html    |  16 +-
 .../images/templates/text_input.html          |  48 +-
 .../images/templates/upload_json.html         |  34 +-
 .../images/templates/view_image_dir.html      |  32 +-
 djangoManager/imageMaker/images/tests.py      |   6 +-
 djangoManager/imageMaker/images/views.py      | 204 +++----
 djangoManager/imageMaker/manage.py            |  44 +-
 djangoManager/imageMaker/requirements.txt     |   8 +-
 .../imageMaker/static/css/custom.css          |  84 +--
 .../imageMaker/static/js/image_viewer.js      | 118 ++--
 readme.md                                     | 428 +++++++-------
 103 files changed, 6411 insertions(+), 6411 deletions(-)

diff --git a/.gitignore b/.gitignore
index 3d52a41..9b49eba 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,11 +1,11 @@
-**/ideogram.log
-**/saves/**
-**/settings.json
-**/bin/**
-**/obj/**
-**/.vs/**
-**/.vscode/**
-**/ideogram_pages/**
-**/ideogram_data_all.json
-/MultiImageClient/claude-bad.txt
-/djangoManager/imageMaker/logs/django.log
+**/ideogram.log
+**/saves/**
+**/settings.json
+**/bin/**
+**/obj/**
+**/.vs/**
+**/.vscode/**
+**/ideogram_pages/**
+**/ideogram_data_all.json
+/MultiImageClient/claude-bad.txt
+/djangoManager/imageMaker/logs/django.log
diff --git a/BFLApi/BFLAPIClient.csproj b/BFLApi/BFLAPIClient.csproj
index d60ec5b..c6a68e7 100644
--- a/BFLApi/BFLAPIClient.csproj
+++ b/BFLApi/BFLAPIClient.csproj
@@ -1,32 +1,32 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFramework>net6.0</TargetFramework>
-    <LangVersion>10.0</LangVersion>
-    <ProjectGuid>{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}</ProjectGuid>
-    <Platforms>AnyCPU;ARM64</Platforms>
-    <StartupObject>BFLAPIClient.BFLClient</StartupObject>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <Compile Remove="ideogramSaves\**" />
-    <EmbeddedResource Remove="ideogramSaves\**" />
-    <None Remove="ideogramSaves\**" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
-    <PackageReference Include="CommandLineParser" Version="2.9.1" />
-    <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
-    <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\ImageGenerationClasses\ImageGenerationClasses.csproj" />
-  </ItemGroup>
-
-  <Target Name="PostBuild" AfterTargets="PostBuildEvent">
-  </Target>
-
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net6.0</TargetFramework>
+    <LangVersion>10.0</LangVersion>
+    <ProjectGuid>{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}</ProjectGuid>
+    <Platforms>AnyCPU;ARM64</Platforms>
+    <StartupObject>BFLAPIClient.BFLClient</StartupObject>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <Compile Remove="ideogramSaves\**" />
+    <EmbeddedResource Remove="ideogramSaves\**" />
+    <None Remove="ideogramSaves\**" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
+    <PackageReference Include="CommandLineParser" Version="2.9.1" />
+    <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
+    <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\ImageGenerationClasses\ImageGenerationClasses.csproj" />
+  </ItemGroup>
+
+  <Target Name="PostBuild" AfterTargets="PostBuildEvent">
+  </Target>
+
 </Project>
\ No newline at end of file
diff --git a/BFLApi/BFLClient.cs b/BFLApi/BFLClient.cs
index dac125f..73c2ae3 100644
--- a/BFLApi/BFLClient.cs
+++ b/BFLApi/BFLClient.cs
@@ -1,214 +1,214 @@
-using CommandLine;
-using Newtonsoft.Json;
-using System;
-using System.Net.Http;
-using System.Threading.Tasks;
-
-namespace BFLAPIClient
-{
-    public class BFLClient
-    {
-        private readonly HttpClient _httpClient;
-        private readonly string _apiKey;
-        private const string BaseUrl = "https://api.bfl.ml";
-        public int DefaultPollingIntervalMs { get; set; } = 2000;
-
-        public BFLClient(string apiKey, int defaultPollingIntervalMs = 2000)
-        {
-            _apiKey = apiKey;
-            _httpClient = new HttpClient();
-            _httpClient.DefaultRequestHeaders.Add("x-key", _apiKey);
-            DefaultPollingIntervalMs = defaultPollingIntervalMs;
-        }
-
-        public async Task<GenerationResponse> GetResultAsync(string id)
-        {
-            var response = await _httpClient.GetAsync($"{BaseUrl}/v1/get_result?id={id}");
-            response.EnsureSuccessStatusCode();
-            var content = await response.Content.ReadAsStringAsync();
-            return JsonConvert.DeserializeObject<GenerationResponse>(content);
-        }
-
-        private async Task<GenerationResponse> GenerateAndWaitForResultAsync<TRequest>(string endpoint, TRequest request)
-        {
-            var generationResponse = await GenerateAsync(endpoint, request);
-            var id = generationResponse.Id;
-
-            generationResponse = await GetResultAsync(id);
-
-            while (generationResponse.Status == "Pending")
-            {
-                await Task.Delay(DefaultPollingIntervalMs);
-                generationResponse = await GetResultAsync(id);
-            }
-
-            return generationResponse;
-        }
-
-        /// private since it's only called by the more convenient e.g. GenerateFluxPro11Async methods
-        private async Task<GenerationResponse> GenerateAsync<TRequest>(string endpoint, TRequest request)
-        {
-            var serialized = JsonConvert.SerializeObject(request);
-            var content = new StringContent(serialized, System.Text.Encoding.UTF8, "application/json");
-            var response = await _httpClient.PostAsync($"{BaseUrl}/v1/{endpoint}", content);
-            
-            if (response.StatusCode == System.Net.HttpStatusCode.UnprocessableEntity)
-            {
-                var errorContent = await response.Content.ReadAsStringAsync();
-                throw new HttpRequestException($"422 Unprocessable Entity: {errorContent}", null, System.Net.HttpStatusCode.UnprocessableEntity);
-            }
-            if (response.StatusCode == System.Net.HttpStatusCode.PaymentRequired)
-            {
-                var errorContent = await response.Content.ReadAsStringAsync();
-                throw new HttpRequestException($"402 Payment Required: {errorContent}", null, System.Net.HttpStatusCode.PaymentRequired);
-            }
-
-            response.EnsureSuccessStatusCode();
-            var responseContent = await response.Content.ReadAsStringAsync();
-            var response2 = JsonConvert.DeserializeObject<GenerationResponse>(responseContent);
-            return response2;
-        }
-
-        public Task<GenerationResponse> GenerateFluxPro11Async(FluxPro11Request request)
-        {
-            return GenerateAndWaitForResultAsync("flux-pro-1.1", request);
-        }
-
-        public Task<GenerationResponse> GenerateFluxProAsync(FluxProRequest request)
-        {
-            return GenerateAndWaitForResultAsync("flux-pro", request);
-        }
-
-        public Task<GenerationResponse> GenerateFluxDevAsync(FluxDevRequest request)
-        {
-            return GenerateAndWaitForResultAsync("flux-dev", request);
-        }
-
-        [STAThread]
-        public static async Task Main(string[] args)
-        {
-            await Parser.Default.ParseArguments<CommandLineOptions>(args)
-                .WithParsedAsync(RunAsync);
-        }
-
-        private static async Task RunAsync(CommandLineOptions opts)
-        {
-            var client = new BFLClient(opts.ApiKey, opts.PollingInterval);
-
-            GenerationResponse response;
-            switch (opts.Model)
-            {
-                case "flux-pro-1.1":
-                    var request11 = new FluxPro11Request
-                    {
-                        Prompt = opts.Prompt,
-                        Width = opts.Width,
-                        Height = opts.Height,
-                        PromptUpsampling = opts.PromptUpsampling,
-                        SafetyTolerance = opts.SafetyTolerance,
-                        Seed = opts.Seed
-                    };
-                    response = await client.GenerateFluxPro11Async(request11);
-                    break;
-                case "flux-pro":
-                    var requestPro = new FluxProRequest
-                    {
-                        Prompt = opts.Prompt,
-                        Width = opts.Width,
-                        Height = opts.Height,
-                        NumSteps = opts.NumSteps,
-                        PromptUpsampling = opts.PromptUpsampling,
-                        Seed = opts.Seed,
-                        Guidance = opts.Guidance,
-                        Interval = opts.Interval,
-                        SafetyTolerance = opts.SafetyTolerance
-                    };
-                    response = await client.GenerateFluxProAsync(requestPro);
-                    break;
-                case "flux-dev":
-                    var requestDev = new FluxDevRequest
-                    {
-                        Prompt = opts.Prompt,
-                        Width = opts.Width,
-                        Height = opts.Height,
-                        NumSteps = opts.NumSteps,
-                        PromptUpsampling = opts.PromptUpsampling,
-                        Seed = opts.Seed,
-                        Guidance = opts.Guidance,
-                        SafetyTolerance = opts.SafetyTolerance
-                    };
-                    response = await client.GenerateFluxDevAsync(requestDev);
-                    break;
-                default:
-                    Console.WriteLine($"Invalid model: {opts.Model}");
-                    return;
-            }
-
-            Console.WriteLine($"Status: {response.Status}");
-            Console.WriteLine($"Image URL: {response.Result?.Sample}");
-            Console.WriteLine($"Revised Prompt: {response.Result?.Prompt}");
-        }
-    }
-
-    public class CommandLineOptions
-    {
-        [Option('k', "api-key", Required = true, HelpText = "API key for BFL.")]
-        public string ApiKey { get; set; }
-
-        [Option('m', "model", Required = true, HelpText = "Model to use (flux-pro-1.1, flux-pro, or flux-dev).")]
-        public string Model { get; set; }
-
-        [Option('p', "prompt", Required = true, HelpText = "Prompt for image generation.")]
-        public string Prompt { get; set; }
-
-        [Option('w', "width", Default = 1024, HelpText = "Width of the generated image.")]
-        public int Width { get; set; }
-
-        [Option('h', "height", Default = 1024, HelpText = "Height of the generated image.")]
-        public int Height { get; set; }
-
-        [Option("num-steps", HelpText = "Number of steps (for flux-pro and flux-dev).")]
-        public int? NumSteps { get; set; }
-
-        [Option("prompt-upsampling", Default = false, HelpText = "Enable prompt upsampling.")]
-        public bool PromptUpsampling { get; set; }
-
-        [Option('s', "seed", HelpText = "Seed for image generation.")]
-        public int? Seed { get; set; }
-
-        [Option('g', "guidance", HelpText = "Guidance value (for flux-pro and flux-dev).")]
-        public float? Guidance { get; set; }
-
-        [Option('i', "interval", HelpText = "Interval value (for flux-pro).")]
-        public float? Interval { get; set; }
-
-        [Option("safety-tolerance", Default = 6, HelpText = "Safety tolerance level.")]
-        public int SafetyTolerance { get; set; }
-
-        [Option("polling-interval", Default = 2000, HelpText = "Polling interval in milliseconds.")]
-        public int PollingInterval { get; set; }
-    }
-
-    public class GenerationResponse
-    {
-        [JsonProperty("id")]
-        public string Id { get; set; }
-
-        [JsonProperty("status")]
-        public string Status { get; set; }
-        
-        [JsonProperty("result")]
-        public GenerationResult Result { get; set; }
-    }
-
-    public class GenerationResult
-    {
-        /// The url pointing to the image
-        [JsonProperty("sample")]
-        public string Sample { get; set; }
-
-        /// The revised prompt (?)
-        [JsonProperty("prompt")]
-        public string Prompt { get; set; }
-    }
+using CommandLine;
+using Newtonsoft.Json;
+using System;
+using System.Net.Http;
+using System.Threading.Tasks;
+
+namespace BFLAPIClient
+{
+    public class BFLClient
+    {
+        private readonly HttpClient _httpClient;
+        private readonly string _apiKey;
+        private const string BaseUrl = "https://api.bfl.ml";
+        public int DefaultPollingIntervalMs { get; set; } = 2000;
+
+        public BFLClient(string apiKey, int defaultPollingIntervalMs = 2000)
+        {
+            _apiKey = apiKey;
+            _httpClient = new HttpClient();
+            _httpClient.DefaultRequestHeaders.Add("x-key", _apiKey);
+            DefaultPollingIntervalMs = defaultPollingIntervalMs;
+        }
+
+        public async Task<GenerationResponse> GetResultAsync(string id)
+        {
+            var response = await _httpClient.GetAsync($"{BaseUrl}/v1/get_result?id={id}");
+            response.EnsureSuccessStatusCode();
+            var content = await response.Content.ReadAsStringAsync();
+            return JsonConvert.DeserializeObject<GenerationResponse>(content);
+        }
+
+        private async Task<GenerationResponse> GenerateAndWaitForResultAsync<TRequest>(string endpoint, TRequest request)
+        {
+            var generationResponse = await GenerateAsync(endpoint, request);
+            var id = generationResponse.Id;
+
+            generationResponse = await GetResultAsync(id);
+
+            while (generationResponse.Status == "Pending")
+            {
+                await Task.Delay(DefaultPollingIntervalMs);
+                generationResponse = await GetResultAsync(id);
+            }
+
+            return generationResponse;
+        }
+
+        /// private since it's only called by the more convenient e.g. GenerateFluxPro11Async methods
+        private async Task<GenerationResponse> GenerateAsync<TRequest>(string endpoint, TRequest request)
+        {
+            var serialized = JsonConvert.SerializeObject(request);
+            var content = new StringContent(serialized, System.Text.Encoding.UTF8, "application/json");
+            var response = await _httpClient.PostAsync($"{BaseUrl}/v1/{endpoint}", content);
+            
+            if (response.StatusCode == System.Net.HttpStatusCode.UnprocessableEntity)
+            {
+                var errorContent = await response.Content.ReadAsStringAsync();
+                throw new HttpRequestException($"422 Unprocessable Entity: {errorContent}", null, System.Net.HttpStatusCode.UnprocessableEntity);
+            }
+            if (response.StatusCode == System.Net.HttpStatusCode.PaymentRequired)
+            {
+                var errorContent = await response.Content.ReadAsStringAsync();
+                throw new HttpRequestException($"402 Payment Required: {errorContent}", null, System.Net.HttpStatusCode.PaymentRequired);
+            }
+
+            response.EnsureSuccessStatusCode();
+            var responseContent = await response.Content.ReadAsStringAsync();
+            var response2 = JsonConvert.DeserializeObject<GenerationResponse>(responseContent);
+            return response2;
+        }
+
+        public Task<GenerationResponse> GenerateFluxPro11Async(FluxPro11Request request)
+        {
+            return GenerateAndWaitForResultAsync("flux-pro-1.1", request);
+        }
+
+        public Task<GenerationResponse> GenerateFluxProAsync(FluxProRequest request)
+        {
+            return GenerateAndWaitForResultAsync("flux-pro", request);
+        }
+
+        public Task<GenerationResponse> GenerateFluxDevAsync(FluxDevRequest request)
+        {
+            return GenerateAndWaitForResultAsync("flux-dev", request);
+        }
+
+        [STAThread]
+        public static async Task Main(string[] args)
+        {
+            await Parser.Default.ParseArguments<CommandLineOptions>(args)
+                .WithParsedAsync(RunAsync);
+        }
+
+        private static async Task RunAsync(CommandLineOptions opts)
+        {
+            var client = new BFLClient(opts.ApiKey, opts.PollingInterval);
+
+            GenerationResponse response;
+            switch (opts.Model)
+            {
+                case "flux-pro-1.1":
+                    var request11 = new FluxPro11Request
+                    {
+                        Prompt = opts.Prompt,
+                        Width = opts.Width,
+                        Height = opts.Height,
+                        PromptUpsampling = opts.PromptUpsampling,
+                        SafetyTolerance = opts.SafetyTolerance,
+                        Seed = opts.Seed
+                    };
+                    response = await client.GenerateFluxPro11Async(request11);
+                    break;
+                case "flux-pro":
+                    var requestPro = new FluxProRequest
+                    {
+                        Prompt = opts.Prompt,
+                        Width = opts.Width,
+                        Height = opts.Height,
+                        NumSteps = opts.NumSteps,
+                        PromptUpsampling = opts.PromptUpsampling,
+                        Seed = opts.Seed,
+                        Guidance = opts.Guidance,
+                        Interval = opts.Interval,
+                        SafetyTolerance = opts.SafetyTolerance
+                    };
+                    response = await client.GenerateFluxProAsync(requestPro);
+                    break;
+                case "flux-dev":
+                    var requestDev = new FluxDevRequest
+                    {
+                        Prompt = opts.Prompt,
+                        Width = opts.Width,
+                        Height = opts.Height,
+                        NumSteps = opts.NumSteps,
+                        PromptUpsampling = opts.PromptUpsampling,
+                        Seed = opts.Seed,
+                        Guidance = opts.Guidance,
+                        SafetyTolerance = opts.SafetyTolerance
+                    };
+                    response = await client.GenerateFluxDevAsync(requestDev);
+                    break;
+                default:
+                    Console.WriteLine($"Invalid model: {opts.Model}");
+                    return;
+            }
+
+            Console.WriteLine($"Status: {response.Status}");
+            Console.WriteLine($"Image URL: {response.Result?.Sample}");
+            Console.WriteLine($"Revised Prompt: {response.Result?.Prompt}");
+        }
+    }
+
+    public class CommandLineOptions
+    {
+        [Option('k', "api-key", Required = true, HelpText = "API key for BFL.")]
+        public string ApiKey { get; set; }
+
+        [Option('m', "model", Required = true, HelpText = "Model to use (flux-pro-1.1, flux-pro, or flux-dev).")]
+        public string Model { get; set; }
+
+        [Option('p', "prompt", Required = true, HelpText = "Prompt for image generation.")]
+        public string Prompt { get; set; }
+
+        [Option('w', "width", Default = 1024, HelpText = "Width of the generated image.")]
+        public int Width { get; set; }
+
+        [Option('h', "height", Default = 1024, HelpText = "Height of the generated image.")]
+        public int Height { get; set; }
+
+        [Option("num-steps", HelpText = "Number of steps (for flux-pro and flux-dev).")]
+        public int? NumSteps { get; set; }
+
+        [Option("prompt-upsampling", Default = false, HelpText = "Enable prompt upsampling.")]
+        public bool PromptUpsampling { get; set; }
+
+        [Option('s', "seed", HelpText = "Seed for image generation.")]
+        public int? Seed { get; set; }
+
+        [Option('g', "guidance", HelpText = "Guidance value (for flux-pro and flux-dev).")]
+        public float? Guidance { get; set; }
+
+        [Option('i', "interval", HelpText = "Interval value (for flux-pro).")]
+        public float? Interval { get; set; }
+
+        [Option("safety-tolerance", Default = 6, HelpText = "Safety tolerance level.")]
+        public int SafetyTolerance { get; set; }
+
+        [Option("polling-interval", Default = 2000, HelpText = "Polling interval in milliseconds.")]
+        public int PollingInterval { get; set; }
+    }
+
+    public class GenerationResponse
+    {
+        [JsonProperty("id")]
+        public string Id { get; set; }
+
+        [JsonProperty("status")]
+        public string Status { get; set; }
+        
+        [JsonProperty("result")]
+        public GenerationResult Result { get; set; }
+    }
+
+    public class GenerationResult
+    {
+        /// The url pointing to the image
+        [JsonProperty("sample")]
+        public string Sample { get; set; }
+
+        /// The revised prompt (?)
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; }
+    }
 }
\ No newline at end of file
diff --git a/BFLApi/BFLDetails.cs b/BFLApi/BFLDetails.cs
index 97f6a2e..b106983 100644
--- a/BFLApi/BFLDetails.cs
+++ b/BFLApi/BFLDetails.cs
@@ -1,67 +1,67 @@
-namespace IdeogramAPIClient
-{
-    public class BFLDetails
-    {
-        private int _width = 1024;
-        private int _height = 1024;
-
-        public int Width
-        {
-            get => _width;
-            set
-            {
-                SetWidth(value);
-            }
-        }
-
-        public int Height
-        {
-            get => _height;
-            set
-            {
-                SetHeight(value);
-            } 
-        }
-
-        public bool PromptUpsampling { get; set; } = false;
-        public int SafetyTolerance { get; set; } = 6;
-        public int? Seed { get; set; }
-
-        public BFLDetails() { }
-
-        public BFLDetails(BFLDetails other)
-        {
-            SetWidth(other.Width);
-            SetHeight(other.Height);
-            PromptUpsampling = other.PromptUpsampling;
-            SafetyTolerance = other.SafetyTolerance;
-            Seed = other.Seed;
-        }
-
-        private void SetWidth(int value)
-        {
-            if (value % 32 != 0)
-            {
-                throw new System.ArgumentException("Image width must be a multiple of 32");
-            }
-            if (value > 1440)
-            {
-                throw new System.ArgumentException("Image width must be less than or equal to 1440");
-            }
-            _width = value;
-        }
-
-        private void SetHeight(int value)
-        {
-            if (value % 32 != 0)
-            {
-                throw new System.ArgumentException("Image height must be a multiple of 32");
-            }
-            if (value > 1440)
-            {
-                throw new System.ArgumentException("Image height must be less than or equal to 1440");
-            }
-            _height = value;
-        }
-    }
-}
+namespace IdeogramAPIClient
+{
+    public class BFLDetails
+    {
+        private int _width = 1024;
+        private int _height = 1024;
+
+        public int Width
+        {
+            get => _width;
+            set
+            {
+                SetWidth(value);
+            }
+        }
+
+        public int Height
+        {
+            get => _height;
+            set
+            {
+                SetHeight(value);
+            } 
+        }
+
+        public bool PromptUpsampling { get; set; } = false;
+        public int SafetyTolerance { get; set; } = 6;
+        public int? Seed { get; set; }
+
+        public BFLDetails() { }
+
+        public BFLDetails(BFLDetails other)
+        {
+            SetWidth(other.Width);
+            SetHeight(other.Height);
+            PromptUpsampling = other.PromptUpsampling;
+            SafetyTolerance = other.SafetyTolerance;
+            Seed = other.Seed;
+        }
+
+        private void SetWidth(int value)
+        {
+            if (value % 32 != 0)
+            {
+                throw new System.ArgumentException("Image width must be a multiple of 32");
+            }
+            if (value > 1440)
+            {
+                throw new System.ArgumentException("Image width must be less than or equal to 1440");
+            }
+            _width = value;
+        }
+
+        private void SetHeight(int value)
+        {
+            if (value % 32 != 0)
+            {
+                throw new System.ArgumentException("Image height must be a multiple of 32");
+            }
+            if (value > 1440)
+            {
+                throw new System.ArgumentException("Image height must be less than or equal to 1440");
+            }
+            _height = value;
+        }
+    }
+}
diff --git a/BFLApi/FluxDevRequest.cs b/BFLApi/FluxDevRequest.cs
index 7c2cd34..c06828b 100644
--- a/BFLApi/FluxDevRequest.cs
+++ b/BFLApi/FluxDevRequest.cs
@@ -1,33 +1,33 @@
-using Newtonsoft.Json;
-
-using System.Text.Json;
-
-namespace BFLAPIClient
-{
-    public class FluxDevRequest
-    {
-        [JsonProperty("prompt")]
-        public string Prompt { get; set; }
-
-        [JsonProperty("width")]
-        public int Width { get; set; }
-
-        [JsonProperty("height")]
-        public int Height { get; set; }
-
-        [JsonProperty("num_steps")]
-        public int? NumSteps { get; set; }
-
-        [JsonProperty("prompt_upsampling")]
-        public bool PromptUpsampling { get; set; }
-
-        [JsonProperty("seed")]
-        public int? Seed { get; set; }
-
-        [JsonProperty("guidance")]
-        public float? Guidance { get; set; }
-
-        [JsonProperty("safety_tolerance")]
-        public int SafetyTolerance { get; set; }
-    }
-}
+using Newtonsoft.Json;
+
+using System.Text.Json;
+
+namespace BFLAPIClient
+{
+    public class FluxDevRequest
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; }
+
+        [JsonProperty("width")]
+        public int Width { get; set; }
+
+        [JsonProperty("height")]
+        public int Height { get; set; }
+
+        [JsonProperty("num_steps")]
+        public int? NumSteps { get; set; }
+
+        [JsonProperty("prompt_upsampling")]
+        public bool PromptUpsampling { get; set; }
+
+        [JsonProperty("seed")]
+        public int? Seed { get; set; }
+
+        [JsonProperty("guidance")]
+        public float? Guidance { get; set; }
+
+        [JsonProperty("safety_tolerance")]
+        public int SafetyTolerance { get; set; }
+    }
+}
diff --git a/BFLApi/FluxPro11Request.cs b/BFLApi/FluxPro11Request.cs
index 73c3bed..1f6317d 100644
--- a/BFLApi/FluxPro11Request.cs
+++ b/BFLApi/FluxPro11Request.cs
@@ -1,27 +1,27 @@
-using Newtonsoft.Json;
-
-using System.Text.Json;
-
-namespace BFLAPIClient
-{
-    public class FluxPro11Request
-    {
-        [JsonProperty("prompt")]
-        public string Prompt { get; set; }
-
-        [JsonProperty("width")]
-        public int Width { get; set; }
-
-        [JsonProperty("height")]
-        public int Height { get; set; }
-
-        [JsonProperty("prompt_upsampling")]
-        public bool PromptUpsampling { get; set; }
-
-        [JsonProperty("safety_tolerance")]
-        public int SafetyTolerance { get; set; }
-
-        [JsonProperty("seed")]
-        public int? Seed { get; set; }
-    }
-}
+using Newtonsoft.Json;
+
+using System.Text.Json;
+
+namespace BFLAPIClient
+{
+    public class FluxPro11Request
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; }
+
+        [JsonProperty("width")]
+        public int Width { get; set; }
+
+        [JsonProperty("height")]
+        public int Height { get; set; }
+
+        [JsonProperty("prompt_upsampling")]
+        public bool PromptUpsampling { get; set; }
+
+        [JsonProperty("safety_tolerance")]
+        public int SafetyTolerance { get; set; }
+
+        [JsonProperty("seed")]
+        public int? Seed { get; set; }
+    }
+}
diff --git a/BFLApi/FluxProRequest.cs b/BFLApi/FluxProRequest.cs
index 0f65d34..2ea474e 100644
--- a/BFLApi/FluxProRequest.cs
+++ b/BFLApi/FluxProRequest.cs
@@ -1,36 +1,36 @@
-using Newtonsoft.Json;
-
-using System.Text.Json;
-
-namespace BFLAPIClient
-{
-    public class FluxProRequest
-    {
-        [JsonProperty("prompt")]
-        public string Prompt { get; set; }
-
-        [JsonProperty("width")]
-        public int Width { get; set; }
-
-        [JsonProperty("height")]
-        public int Height { get; set; }
-
-        [JsonProperty("num_steps")]
-        public int? NumSteps { get; set; }
-
-        [JsonProperty("prompt_upsampling")]
-        public bool PromptUpsampling { get; set; }
-
-        [JsonProperty("seed")]
-        public int? Seed { get; set; }
-
-        [JsonProperty("guidance")]
-        public float? Guidance { get; set; }
-
-        [JsonProperty("interval")]
-        public float? Interval { get; set; }
-
-        [JsonProperty("safety_tolerance")]
-        public int SafetyTolerance { get; set; }
-    }
-}
+using Newtonsoft.Json;
+
+using System.Text.Json;
+
+namespace BFLAPIClient
+{
+    public class FluxProRequest
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; }
+
+        [JsonProperty("width")]
+        public int Width { get; set; }
+
+        [JsonProperty("height")]
+        public int Height { get; set; }
+
+        [JsonProperty("num_steps")]
+        public int? NumSteps { get; set; }
+
+        [JsonProperty("prompt_upsampling")]
+        public bool PromptUpsampling { get; set; }
+
+        [JsonProperty("seed")]
+        public int? Seed { get; set; }
+
+        [JsonProperty("guidance")]
+        public float? Guidance { get; set; }
+
+        [JsonProperty("interval")]
+        public float? Interval { get; set; }
+
+        [JsonProperty("safety_tolerance")]
+        public int SafetyTolerance { get; set; }
+    }
+}
diff --git a/IdeogramAPI/.gitignore b/IdeogramAPI/.gitignore
index 9e5fab6..b1817ec 100644
--- a/IdeogramAPI/.gitignore
+++ b/IdeogramAPI/.gitignore
@@ -1,13 +1,13 @@
-ideogram.log
-ideogramSaves/**
-ideogram-settings.json
-bin/**
-obj/**
-.vs/**
-.vscode/**
-ideogram_pages/**
-ideogram_data_all.json
-**/claude-bad.txt
-claude-bad.txt
-**/env/**
+ideogram.log
+ideogramSaves/**
+ideogram-settings.json
+bin/**
+obj/**
+.vs/**
+.vscode/**
+ideogram_pages/**
+ideogram_data_all.json
+**/claude-bad.txt
+claude-bad.txt
+**/env/**
 **/env2/**
\ No newline at end of file
diff --git a/IdeogramAPI/IdeogramAPIClient.csproj b/IdeogramAPI/IdeogramAPIClient.csproj
index 63aae7d..bc31738 100644
--- a/IdeogramAPI/IdeogramAPIClient.csproj
+++ b/IdeogramAPI/IdeogramAPIClient.csproj
@@ -1,15 +1,15 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFramework>net6.0</TargetFramework>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <Nullable>enable</Nullable>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="CommandLineParser" Version="2.9.1" />
-    <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
-  </ItemGroup>
-
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net6.0</TargetFramework>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="CommandLineParser" Version="2.9.1" />
+    <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
+  </ItemGroup>
+
 </Project>
\ No newline at end of file
diff --git a/IdeogramAPI/IdeogramClient.cs b/IdeogramAPI/IdeogramClient.cs
index 4d38943..4358c68 100644
--- a/IdeogramAPI/IdeogramClient.cs
+++ b/IdeogramAPI/IdeogramClient.cs
@@ -1,46 +1,46 @@
-using System;
-using System.Net.Http;
-using System.Threading.Tasks;
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-using System.Collections.Generic;
-using System.IO;
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramClient
-    {
-        private readonly HttpClient _httpClient;
-        private const string BaseUrl = "https://api.ideogram.ai";
-
-        public IdeogramClient(string apiKey)
-        {
-            _httpClient = new HttpClient();
-            _httpClient.DefaultRequestHeaders.Add("Api-Key", apiKey);
-            _httpClient.BaseAddress = new Uri(BaseUrl);
-        }
-
-        public async Task<GenerateResponse> GenerateImageAsync(IdeogramGenerateRequest request)
-        {
-            var jsonRequest = JsonConvert.SerializeObject(new { image_request = request }, new JsonSerializerSettings
-            {
-                NullValueHandling = NullValueHandling.Ignore,
-                Converters = new List<JsonConverter> { new StringEnumConverter(camelCaseText: false) }
-            });
-
-            var httpContent = new StringContent(jsonRequest, System.Text.Encoding.UTF8, "application/json");
-
-            var response = await _httpClient.PostAsync("/generate", httpContent);
-            
-            if (!response.IsSuccessStatusCode)
-            {
-                var errorContent = await response.Content.ReadAsStringAsync();
-                throw new HttpRequestException($"API request failed with status code {response.StatusCode}. Response: {errorContent}");
-            }
-
-            var content = await response.Content.ReadAsStringAsync();
-            var generateResponse = JsonConvert.DeserializeObject<GenerateResponse>(content);
-            return generateResponse;
-        }        
-    }
-}
+using System;
+using System.Net.Http;
+using System.Threading.Tasks;
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+using System.Collections.Generic;
+using System.IO;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramClient
+    {
+        private readonly HttpClient _httpClient;
+        private const string BaseUrl = "https://api.ideogram.ai";
+
+        public IdeogramClient(string apiKey)
+        {
+            _httpClient = new HttpClient();
+            _httpClient.DefaultRequestHeaders.Add("Api-Key", apiKey);
+            _httpClient.BaseAddress = new Uri(BaseUrl);
+        }
+
+        public async Task<GenerateResponse> GenerateImageAsync(IdeogramGenerateRequest request)
+        {
+            var jsonRequest = JsonConvert.SerializeObject(new { image_request = request }, new JsonSerializerSettings
+            {
+                NullValueHandling = NullValueHandling.Ignore,
+                Converters = new List<JsonConverter> { new StringEnumConverter(camelCaseText: false) }
+            });
+
+            var httpContent = new StringContent(jsonRequest, System.Text.Encoding.UTF8, "application/json");
+
+            var response = await _httpClient.PostAsync("/generate", httpContent);
+            
+            if (!response.IsSuccessStatusCode)
+            {
+                var errorContent = await response.Content.ReadAsStringAsync();
+                throw new HttpRequestException($"API request failed with status code {response.StatusCode}. Response: {errorContent}");
+            }
+
+            var content = await response.Content.ReadAsStringAsync();
+            var generateResponse = JsonConvert.DeserializeObject<GenerateResponse>(content);
+            return generateResponse;
+        }        
+    }
+}
diff --git a/IdeogramAPI/IdeogramDetails.cs b/IdeogramAPI/IdeogramDetails.cs
index b46c30e..0f6dbed 100644
--- a/IdeogramAPI/IdeogramDetails.cs
+++ b/IdeogramAPI/IdeogramDetails.cs
@@ -1,21 +1,21 @@
-namespace IdeogramAPIClient
-{
-    public class IdeogramDetails
-    {
-        public IdeogramAspectRatio? AspectRatio { get; set; }
-        public IdeogramModel Model { get; set; }
-        public IdeogramMagicPromptOption MagicPromptOption { get; set; }
-        public IdeogramStyleType? StyleType { get; set; }
-        public string NegativePrompt { get; set; }
-        
-        public IdeogramDetails() { }
-        public IdeogramDetails(IdeogramDetails other)
-        {
-            AspectRatio = other.AspectRatio;
-            Model = other.Model;
-            MagicPromptOption = other.MagicPromptOption;
-            StyleType = other.StyleType;
-            NegativePrompt = other.NegativePrompt;
-        }
-    }
+namespace IdeogramAPIClient
+{
+    public class IdeogramDetails
+    {
+        public IdeogramAspectRatio? AspectRatio { get; set; }
+        public IdeogramModel Model { get; set; }
+        public IdeogramMagicPromptOption MagicPromptOption { get; set; }
+        public IdeogramStyleType? StyleType { get; set; }
+        public string NegativePrompt { get; set; }
+        
+        public IdeogramDetails() { }
+        public IdeogramDetails(IdeogramDetails other)
+        {
+            AspectRatio = other.AspectRatio;
+            Model = other.Model;
+            MagicPromptOption = other.MagicPromptOption;
+            StyleType = other.StyleType;
+            NegativePrompt = other.NegativePrompt;
+        }
+    }
 }
\ No newline at end of file
diff --git a/IdeogramAPI/IdeogramModelPricing.cs b/IdeogramAPI/IdeogramModelPricing.cs
index 15b6b13..e0d341e 100644
--- a/IdeogramAPI/IdeogramModelPricing.cs
+++ b/IdeogramAPI/IdeogramModelPricing.cs
@@ -1,18 +1,18 @@
-using System;
-
-namespace IdeogramAPIClient
-{
-    public static class IdeogramModelPricing
-    {
-        public const decimal Ideogram2_0 = 0.08m;
-        public const decimal Ideogram2_0Turbo = 0.05m;
-        public const decimal Ideogram1_0 = 0.06m;
-        public const decimal Ideogram1_0Turbo = 0.02m;
-        public const decimal IdeogramUpscale = 0.06m;
-        public const decimal IdeogramDescribe = 0.01m;
-        public const decimal Ideogram2_0Remix = 0.08m;
-        public const decimal Ideogram2_0TurboRemix = 0.05m;
-        public const decimal Ideogram1_0Remix = 0.06m;
-        public const decimal Ideogram1_0TurboRemix = 0.02m;
-    }
-}
+using System;
+
+namespace IdeogramAPIClient
+{
+    public static class IdeogramModelPricing
+    {
+        public const decimal Ideogram2_0 = 0.08m;
+        public const decimal Ideogram2_0Turbo = 0.05m;
+        public const decimal Ideogram1_0 = 0.06m;
+        public const decimal Ideogram1_0Turbo = 0.02m;
+        public const decimal IdeogramUpscale = 0.06m;
+        public const decimal IdeogramDescribe = 0.01m;
+        public const decimal Ideogram2_0Remix = 0.08m;
+        public const decimal Ideogram2_0TurboRemix = 0.05m;
+        public const decimal Ideogram1_0Remix = 0.06m;
+        public const decimal Ideogram1_0TurboRemix = 0.02m;
+    }
+}
diff --git a/IdeogramAPI/IdeogramUtils.cs b/IdeogramAPI/IdeogramUtils.cs
index 48f3044..2c424ef 100644
--- a/IdeogramAPI/IdeogramUtils.cs
+++ b/IdeogramAPI/IdeogramUtils.cs
@@ -1,38 +1,38 @@
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Net.Http;
-using System.Threading.Tasks;
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-
-
-namespace IdeogramAPIClient
-{
-    public static class IdeogramUtils
-    {
-        public static string StringifyAspectRatio(IdeogramAspectRatio? ratio)
-        {
-            if (!ratio.HasValue)
-                return "";
-            return ratio switch
-            {
-                IdeogramAspectRatio.ASPECT_10_16 => "10x16",
-                IdeogramAspectRatio.ASPECT_16_10 => "16x10",
-                IdeogramAspectRatio.ASPECT_9_16 => "9x16",
-                IdeogramAspectRatio.ASPECT_16_9 => "16x9",
-                IdeogramAspectRatio.ASPECT_3_2 => "3x2",
-                IdeogramAspectRatio.ASPECT_2_3 => "2x3",
-                IdeogramAspectRatio.ASPECT_4_3 => "4x3",
-                IdeogramAspectRatio.ASPECT_3_4 => "3x4",
-                IdeogramAspectRatio.ASPECT_1_1 => "1x1",
-                IdeogramAspectRatio.ASPECT_1_3 => "1x3",
-                IdeogramAspectRatio.ASPECT_3_1 => "3x1",
-                _ => throw new ArgumentOutOfRangeException(nameof(ratio), ratio, null),
-            };
-        }
-
-        
-
-    }
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Net.Http;
+using System.Threading.Tasks;
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+
+
+namespace IdeogramAPIClient
+{
+    public static class IdeogramUtils
+    {
+        public static string StringifyAspectRatio(IdeogramAspectRatio? ratio)
+        {
+            if (!ratio.HasValue)
+                return "";
+            return ratio switch
+            {
+                IdeogramAspectRatio.ASPECT_10_16 => "10x16",
+                IdeogramAspectRatio.ASPECT_16_10 => "16x10",
+                IdeogramAspectRatio.ASPECT_9_16 => "9x16",
+                IdeogramAspectRatio.ASPECT_16_9 => "16x9",
+                IdeogramAspectRatio.ASPECT_3_2 => "3x2",
+                IdeogramAspectRatio.ASPECT_2_3 => "2x3",
+                IdeogramAspectRatio.ASPECT_4_3 => "4x3",
+                IdeogramAspectRatio.ASPECT_3_4 => "3x4",
+                IdeogramAspectRatio.ASPECT_1_1 => "1x1",
+                IdeogramAspectRatio.ASPECT_1_3 => "1x3",
+                IdeogramAspectRatio.ASPECT_3_1 => "3x1",
+                _ => throw new ArgumentOutOfRangeException(nameof(ratio), ratio, null),
+            };
+        }
+
+        
+
+    }
 }
\ No newline at end of file
diff --git a/IdeogramAPI/Program.cs b/IdeogramAPI/Program.cs
index 107e6b1..bdea32a 100644
--- a/IdeogramAPI/Program.cs
+++ b/IdeogramAPI/Program.cs
@@ -1,113 +1,113 @@
-using CommandLine;
-using System;
-using System.Threading.Tasks;
-
-namespace IdeogramAPIClient
-{
-    public class Program
-    {
-        static async Task<int> Main(string[] args)
-        {
-            // Hardcoded args for testing
-            args = new[]
-            {
-                "--api-key", "",
-                "--prompt", "A cute puppy playing in a garden",
-                "--aspect-ratio", "ASPECT_16_9",
-                "--model", "V_2",
-                "--magic-prompt", "ON",
-                "--negative-prompt", "cat, kitten"
-            };
-
-            try
-            {
-                var task = Parser.Default.ParseArguments<CommandLineOptions>(args)
-                    .MapResult(
-                        async (CommandLineOptions opts) => await RunAsync(opts),
-                        _ => Task.FromResult<GenerateResponse>(null) // Return null for parsing errors
-                    );
-
-                var response = await task; // Wait for the task to complete
-                
-                if (response != null)
-                {
-                    Console.WriteLine($"Image URL: {response.Data[0].Url}");
-                    Console.WriteLine($"Revised Prompt: {response.Data[0].Prompt}");
-                    return 0; // Success
-                }
-                else
-                {
-                    Console.WriteLine("Failed to generate image or parse arguments.");
-                    return 1; // Error
-                }
-            }
-            catch (Exception ex)
-            {
-                Console.Error.WriteLine($"Unhandled exception: {ex.Message}");
-                return 2; // Return 2 for unhandled exceptions
-            }
-            finally
-            {
-                Console.WriteLine("Press Enter to exit...");
-                Console.ReadLine();
-            }
-        }
-
-        private static async Task<GenerateResponse> RunAsync(CommandLineOptions opts)
-        {
-            var client = new IdeogramClient(opts.ApiKey);
-            var ideogramDetails = new IdeogramDetails
-            {
-                AspectRatio = opts.AspectRatio,
-                Model = opts.Model,
-                MagicPromptOption = opts.MagicPromptOption,
-                StyleType = opts.StyleType,
-                NegativePrompt = opts.NegativePrompt
-            };
-            var req = new IdeogramGenerateRequest(opts.Prompt, ideogramDetails);
-            
-            try
-            {
-                var response = await client.GenerateImageAsync(req);
-                if (response.Data != null && response.Data.Count > 0)
-                {
-                    return response;
-                }
-                else
-                {
-                    Console.WriteLine("No images generated.");
-                    return null;
-                }
-            }
-            catch (Exception ex)
-            {
-                Console.Error.WriteLine($"Error: {ex.Message}");
-                return null;
-            }
-        }
-    }
-
-    public class CommandLineOptions
-    {
-        [Option('k', "api-key", Required = true, HelpText = "API key for Ideogram.")]
-        public string ApiKey { get; set; }
-
-        [Option('p', "prompt", Required = true, HelpText = "Prompt for image generation.")]
-        public string Prompt { get; set; }
-
-        [Option('a', "aspect-ratio", Default = IdeogramAspectRatio.ASPECT_1_1, HelpText = "Aspect ratio of the generated image.")]
-        public IdeogramAspectRatio AspectRatio { get; set; }
-
-        [Option('m', "model", Default = IdeogramModel.V_2, HelpText = "Model to use for image generation.")]
-        public IdeogramModel Model { get; set; }
-
-        [Option("magic-prompt", Default = IdeogramMagicPromptOption.ON, HelpText = "Magic prompt option.")]
-        public IdeogramMagicPromptOption MagicPromptOption { get; set; }
-
-        [Option('s', "style", Default = IdeogramStyleType.GENERAL, HelpText = "Style type for the generated image.")]
-        public IdeogramStyleType StyleType { get; set; }
-
-        [Option('n', "negative-prompt", Default = null, HelpText = "Negative prompt for image generation.")]
-        public string NegativePrompt { get; set; }
-    }
-}
+using CommandLine;
+using System;
+using System.Threading.Tasks;
+
+namespace IdeogramAPIClient
+{
+    public class Program
+    {
+        static async Task<int> Main(string[] args)
+        {
+            // Hardcoded args for testing
+            args = new[]
+            {
+                "--api-key", "",
+                "--prompt", "A cute puppy playing in a garden",
+                "--aspect-ratio", "ASPECT_16_9",
+                "--model", "V_2",
+                "--magic-prompt", "ON",
+                "--negative-prompt", "cat, kitten"
+            };
+
+            try
+            {
+                var task = Parser.Default.ParseArguments<CommandLineOptions>(args)
+                    .MapResult(
+                        async (CommandLineOptions opts) => await RunAsync(opts),
+                        _ => Task.FromResult<GenerateResponse>(null) // Return null for parsing errors
+                    );
+
+                var response = await task; // Wait for the task to complete
+                
+                if (response != null)
+                {
+                    Console.WriteLine($"Image URL: {response.Data[0].Url}");
+                    Console.WriteLine($"Revised Prompt: {response.Data[0].Prompt}");
+                    return 0; // Success
+                }
+                else
+                {
+                    Console.WriteLine("Failed to generate image or parse arguments.");
+                    return 1; // Error
+                }
+            }
+            catch (Exception ex)
+            {
+                Console.Error.WriteLine($"Unhandled exception: {ex.Message}");
+                return 2; // Return 2 for unhandled exceptions
+            }
+            finally
+            {
+                Console.WriteLine("Press Enter to exit...");
+                Console.ReadLine();
+            }
+        }
+
+        private static async Task<GenerateResponse> RunAsync(CommandLineOptions opts)
+        {
+            var client = new IdeogramClient(opts.ApiKey);
+            var ideogramDetails = new IdeogramDetails
+            {
+                AspectRatio = opts.AspectRatio,
+                Model = opts.Model,
+                MagicPromptOption = opts.MagicPromptOption,
+                StyleType = opts.StyleType,
+                NegativePrompt = opts.NegativePrompt
+            };
+            var req = new IdeogramGenerateRequest(opts.Prompt, ideogramDetails);
+            
+            try
+            {
+                var response = await client.GenerateImageAsync(req);
+                if (response.Data != null && response.Data.Count > 0)
+                {
+                    return response;
+                }
+                else
+                {
+                    Console.WriteLine("No images generated.");
+                    return null;
+                }
+            }
+            catch (Exception ex)
+            {
+                Console.Error.WriteLine($"Error: {ex.Message}");
+                return null;
+            }
+        }
+    }
+
+    public class CommandLineOptions
+    {
+        [Option('k', "api-key", Required = true, HelpText = "API key for Ideogram.")]
+        public string ApiKey { get; set; }
+
+        [Option('p', "prompt", Required = true, HelpText = "Prompt for image generation.")]
+        public string Prompt { get; set; }
+
+        [Option('a', "aspect-ratio", Default = IdeogramAspectRatio.ASPECT_1_1, HelpText = "Aspect ratio of the generated image.")]
+        public IdeogramAspectRatio AspectRatio { get; set; }
+
+        [Option('m', "model", Default = IdeogramModel.V_2, HelpText = "Model to use for image generation.")]
+        public IdeogramModel Model { get; set; }
+
+        [Option("magic-prompt", Default = IdeogramMagicPromptOption.ON, HelpText = "Magic prompt option.")]
+        public IdeogramMagicPromptOption MagicPromptOption { get; set; }
+
+        [Option('s', "style", Default = IdeogramStyleType.GENERAL, HelpText = "Style type for the generated image.")]
+        public IdeogramStyleType StyleType { get; set; }
+
+        [Option('n', "negative-prompt", Default = null, HelpText = "Negative prompt for image generation.")]
+        public string NegativePrompt { get; set; }
+    }
+}
diff --git a/IdeogramAPI/request/IdeogramGenerateRequest.cs b/IdeogramAPI/request/IdeogramGenerateRequest.cs
index 990f521..f3c5bd8 100644
--- a/IdeogramAPI/request/IdeogramGenerateRequest.cs
+++ b/IdeogramAPI/request/IdeogramGenerateRequest.cs
@@ -1,66 +1,66 @@
-using System;
-using System.Collections.Generic;
-
-using Newtonsoft.Json;
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramGenerateRequest
-    {
-        public IdeogramGenerateRequest(string prompt, IdeogramDetails ideogramDetails)
-        {
-            Prompt = prompt;
-            AspectRatio = ideogramDetails.AspectRatio;
-            Model = ideogramDetails.Model;
-            MagicPromptOption = ideogramDetails.MagicPromptOption;
-            StyleType = ideogramDetails.StyleType;
-        }
-
-        /// The prompt which is actually used on ideogram.
-        [JsonProperty("prompt")]
-        public string Prompt { get; set; }
-
-        private IdeogramAspectRatio? _aspectRatio;
-
-        private IdeogramResolution? _resolution;
-
-        [JsonProperty("aspect_ratio")]
-        public IdeogramAspectRatio? AspectRatio
-        {
-            get => _aspectRatio;
-            set
-            {
-                if (value.HasValue && _resolution.HasValue)
-                    throw new InvalidOperationException("AspectRatio and Resolution cannot be used together.");
-                _aspectRatio = value;
-            }
-        }
-
-        [JsonProperty("resolution")]
-        public IdeogramResolution? Resolution
-        {
-            get => _resolution;
-            set
-            {
-                if (value.HasValue && _aspectRatio.HasValue)
-                    throw new InvalidOperationException("AspectRatio and Resolution cannot be used together.");
-                _resolution = value;
-            }
-        }
-
-        [JsonProperty("model")]
-        public IdeogramModel? Model { get; set; }
-
-        [JsonProperty("magic_prompt_option")]
-        public IdeogramMagicPromptOption? MagicPromptOption { get; set; }
-
-        [JsonProperty("seed")]
-        public int? Seed { get; set; }
-
-        [JsonProperty("style_type")]
-        public IdeogramStyleType? StyleType { get; set; }
-
-        [JsonProperty("negative_prompt")]
-        public string NegativePrompt { get; set; }
-    }
-}
+using System;
+using System.Collections.Generic;
+
+using Newtonsoft.Json;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramGenerateRequest
+    {
+        public IdeogramGenerateRequest(string prompt, IdeogramDetails ideogramDetails)
+        {
+            Prompt = prompt;
+            AspectRatio = ideogramDetails.AspectRatio;
+            Model = ideogramDetails.Model;
+            MagicPromptOption = ideogramDetails.MagicPromptOption;
+            StyleType = ideogramDetails.StyleType;
+        }
+
+        /// The prompt which is actually used on ideogram.
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; }
+
+        private IdeogramAspectRatio? _aspectRatio;
+
+        private IdeogramResolution? _resolution;
+
+        [JsonProperty("aspect_ratio")]
+        public IdeogramAspectRatio? AspectRatio
+        {
+            get => _aspectRatio;
+            set
+            {
+                if (value.HasValue && _resolution.HasValue)
+                    throw new InvalidOperationException("AspectRatio and Resolution cannot be used together.");
+                _aspectRatio = value;
+            }
+        }
+
+        [JsonProperty("resolution")]
+        public IdeogramResolution? Resolution
+        {
+            get => _resolution;
+            set
+            {
+                if (value.HasValue && _aspectRatio.HasValue)
+                    throw new InvalidOperationException("AspectRatio and Resolution cannot be used together.");
+                _resolution = value;
+            }
+        }
+
+        [JsonProperty("model")]
+        public IdeogramModel? Model { get; set; }
+
+        [JsonProperty("magic_prompt_option")]
+        public IdeogramMagicPromptOption? MagicPromptOption { get; set; }
+
+        [JsonProperty("seed")]
+        public int? Seed { get; set; }
+
+        [JsonProperty("style_type")]
+        public IdeogramStyleType? StyleType { get; set; }
+
+        [JsonProperty("negative_prompt")]
+        public string NegativePrompt { get; set; }
+    }
+}
diff --git a/IdeogramAPI/request/options/IdeogramAspectRatio.cs b/IdeogramAPI/request/options/IdeogramAspectRatio.cs
index 27c4a43..3102184 100644
--- a/IdeogramAPI/request/options/IdeogramAspectRatio.cs
+++ b/IdeogramAPI/request/options/IdeogramAspectRatio.cs
@@ -1,17 +1,17 @@
-namespace IdeogramAPIClient
-{
-    public enum IdeogramAspectRatio
-    {
-        ASPECT_10_16,
-        ASPECT_16_10,
-        ASPECT_9_16,
-        ASPECT_16_9,
-        ASPECT_3_2,
-        ASPECT_2_3,
-        ASPECT_4_3,
-        ASPECT_3_4,
-        ASPECT_1_1,
-        ASPECT_1_3,
-        ASPECT_3_1
-    }
-}
+namespace IdeogramAPIClient
+{
+    public enum IdeogramAspectRatio
+    {
+        ASPECT_10_16,
+        ASPECT_16_10,
+        ASPECT_9_16,
+        ASPECT_16_9,
+        ASPECT_3_2,
+        ASPECT_2_3,
+        ASPECT_4_3,
+        ASPECT_3_4,
+        ASPECT_1_1,
+        ASPECT_1_3,
+        ASPECT_3_1
+    }
+}
diff --git a/IdeogramAPI/request/options/IdeogramMagicPromptOption.cs b/IdeogramAPI/request/options/IdeogramMagicPromptOption.cs
index aa1cd77..f529971 100644
--- a/IdeogramAPI/request/options/IdeogramMagicPromptOption.cs
+++ b/IdeogramAPI/request/options/IdeogramMagicPromptOption.cs
@@ -1,9 +1,9 @@
-namespace IdeogramAPIClient
-{
-    public enum IdeogramMagicPromptOption
-    {
-        AUTO,
-        ON,
-        OFF
-    }
-}
+namespace IdeogramAPIClient
+{
+    public enum IdeogramMagicPromptOption
+    {
+        AUTO,
+        ON,
+        OFF
+    }
+}
diff --git a/IdeogramAPI/request/options/IdeogramModel.cs b/IdeogramAPI/request/options/IdeogramModel.cs
index b2d1755..1e15bb9 100644
--- a/IdeogramAPI/request/options/IdeogramModel.cs
+++ b/IdeogramAPI/request/options/IdeogramModel.cs
@@ -1,10 +1,10 @@
-namespace IdeogramAPIClient
-{
-    public enum IdeogramModel
-    {
-        V_1,
-        V_1_TURBO,
-        V_2,
-        V_2_TURBO
-    }
-}
+namespace IdeogramAPIClient
+{
+    public enum IdeogramModel
+    {
+        V_1,
+        V_1_TURBO,
+        V_2,
+        V_2_TURBO
+    }
+}
diff --git a/IdeogramAPI/request/options/IdeogramResolution.cs b/IdeogramAPI/request/options/IdeogramResolution.cs
index 2344539..ca0eec0 100644
--- a/IdeogramAPI/request/options/IdeogramResolution.cs
+++ b/IdeogramAPI/request/options/IdeogramResolution.cs
@@ -1,84 +1,84 @@
-namespace IdeogramAPIClient
-{
-    public enum IdeogramResolution
-    {
-        RESOLUTION_512_1536,
-        RESOLUTION_576_1408,
-        RESOLUTION_576_1472,
-        RESOLUTION_576_1536,
-        RESOLUTION_640_1024,
-        RESOLUTION_640_1344,
-        RESOLUTION_640_1408,
-        RESOLUTION_640_1472,
-        RESOLUTION_640_1536,
-        RESOLUTION_704_1152,
-        RESOLUTION_704_1216,
-        RESOLUTION_704_1280,
-        RESOLUTION_704_1344,
-        RESOLUTION_704_1408,
-        RESOLUTION_704_1472,
-        RESOLUTION_720_1280,
-        RESOLUTION_736_1312,
-        RESOLUTION_768_1024,
-        RESOLUTION_768_1088,
-        RESOLUTION_768_1152,
-        RESOLUTION_768_1216,
-        RESOLUTION_768_1232,
-        RESOLUTION_768_1280,
-        RESOLUTION_768_1344,
-        RESOLUTION_832_960,
-        RESOLUTION_832_1024,
-        RESOLUTION_832_1088,
-        RESOLUTION_832_1152,
-        RESOLUTION_832_1216,
-        RESOLUTION_832_1248,
-        RESOLUTION_864_1152,
-        RESOLUTION_896_960,
-        RESOLUTION_896_1024,
-        RESOLUTION_896_1088,
-        RESOLUTION_896_1120,
-        RESOLUTION_896_1152,
-        RESOLUTION_960_832,
-        RESOLUTION_960_896,
-        RESOLUTION_960_1024,
-        RESOLUTION_960_1088,
-        RESOLUTION_1024_640,
-        RESOLUTION_1024_768,
-        RESOLUTION_1024_832,
-        RESOLUTION_1024_896,
-        RESOLUTION_1024_960,
-        RESOLUTION_1024_1024,
-        RESOLUTION_1088_768,
-        RESOLUTION_1088_832,
-        RESOLUTION_1088_896,
-        RESOLUTION_1088_960,
-        RESOLUTION_1120_896,
-        RESOLUTION_1152_704,
-        RESOLUTION_1152_768,
-        RESOLUTION_1152_832,
-        RESOLUTION_1152_864,
-        RESOLUTION_1152_896,
-        RESOLUTION_1216_704,
-        RESOLUTION_1216_768,
-        RESOLUTION_1216_832,
-        RESOLUTION_1232_768,
-        RESOLUTION_1248_832,
-        RESOLUTION_1280_704,
-        RESOLUTION_1280_720,
-        RESOLUTION_1280_768,
-        RESOLUTION_1280_800,
-        RESOLUTION_1312_736,
-        RESOLUTION_1344_640,
-        RESOLUTION_1344_704,
-        RESOLUTION_1344_768,
-        RESOLUTION_1408_576,
-        RESOLUTION_1408_640,
-        RESOLUTION_1408_704,
-        RESOLUTION_1472_576,
-        RESOLUTION_1472_640,
-        RESOLUTION_1472_704,
-        RESOLUTION_1536_512,
-        RESOLUTION_1536_576,
-        RESOLUTION_1536_640
-    }
-}
+namespace IdeogramAPIClient
+{
+    public enum IdeogramResolution
+    {
+        RESOLUTION_512_1536,
+        RESOLUTION_576_1408,
+        RESOLUTION_576_1472,
+        RESOLUTION_576_1536,
+        RESOLUTION_640_1024,
+        RESOLUTION_640_1344,
+        RESOLUTION_640_1408,
+        RESOLUTION_640_1472,
+        RESOLUTION_640_1536,
+        RESOLUTION_704_1152,
+        RESOLUTION_704_1216,
+        RESOLUTION_704_1280,
+        RESOLUTION_704_1344,
+        RESOLUTION_704_1408,
+        RESOLUTION_704_1472,
+        RESOLUTION_720_1280,
+        RESOLUTION_736_1312,
+        RESOLUTION_768_1024,
+        RESOLUTION_768_1088,
+        RESOLUTION_768_1152,
+        RESOLUTION_768_1216,
+        RESOLUTION_768_1232,
+        RESOLUTION_768_1280,
+        RESOLUTION_768_1344,
+        RESOLUTION_832_960,
+        RESOLUTION_832_1024,
+        RESOLUTION_832_1088,
+        RESOLUTION_832_1152,
+        RESOLUTION_832_1216,
+        RESOLUTION_832_1248,
+        RESOLUTION_864_1152,
+        RESOLUTION_896_960,
+        RESOLUTION_896_1024,
+        RESOLUTION_896_1088,
+        RESOLUTION_896_1120,
+        RESOLUTION_896_1152,
+        RESOLUTION_960_832,
+        RESOLUTION_960_896,
+        RESOLUTION_960_1024,
+        RESOLUTION_960_1088,
+        RESOLUTION_1024_640,
+        RESOLUTION_1024_768,
+        RESOLUTION_1024_832,
+        RESOLUTION_1024_896,
+        RESOLUTION_1024_960,
+        RESOLUTION_1024_1024,
+        RESOLUTION_1088_768,
+        RESOLUTION_1088_832,
+        RESOLUTION_1088_896,
+        RESOLUTION_1088_960,
+        RESOLUTION_1120_896,
+        RESOLUTION_1152_704,
+        RESOLUTION_1152_768,
+        RESOLUTION_1152_832,
+        RESOLUTION_1152_864,
+        RESOLUTION_1152_896,
+        RESOLUTION_1216_704,
+        RESOLUTION_1216_768,
+        RESOLUTION_1216_832,
+        RESOLUTION_1232_768,
+        RESOLUTION_1248_832,
+        RESOLUTION_1280_704,
+        RESOLUTION_1280_720,
+        RESOLUTION_1280_768,
+        RESOLUTION_1280_800,
+        RESOLUTION_1312_736,
+        RESOLUTION_1344_640,
+        RESOLUTION_1344_704,
+        RESOLUTION_1344_768,
+        RESOLUTION_1408_576,
+        RESOLUTION_1408_640,
+        RESOLUTION_1408_704,
+        RESOLUTION_1472_576,
+        RESOLUTION_1472_640,
+        RESOLUTION_1472_704,
+        RESOLUTION_1536_512,
+        RESOLUTION_1536_576,
+        RESOLUTION_1536_640
+    }
+}
diff --git a/IdeogramAPI/request/options/IdeogramStyleType.cs b/IdeogramAPI/request/options/IdeogramStyleType.cs
index 77112b0..a050111 100644
--- a/IdeogramAPI/request/options/IdeogramStyleType.cs
+++ b/IdeogramAPI/request/options/IdeogramStyleType.cs
@@ -1,11 +1,11 @@
-namespace IdeogramAPIClient
-{
-    public enum IdeogramStyleType
-    {
-        GENERAL,
-        REALISTIC,
-        DESIGN,
-        RENDER_3D,
-        ANIME
-    }
-}
+namespace IdeogramAPIClient
+{
+    public enum IdeogramStyleType
+    {
+        GENERAL,
+        REALISTIC,
+        DESIGN,
+        RENDER_3D,
+        ANIME
+    }
+}
diff --git a/IdeogramAPI/response/GenerateResponse.cs b/IdeogramAPI/response/GenerateResponse.cs
index 31a4f79..fa74706 100644
--- a/IdeogramAPI/response/GenerateResponse.cs
+++ b/IdeogramAPI/response/GenerateResponse.cs
@@ -1,19 +1,19 @@
-using System;
-using System.Collections.Generic;
-using System.Net.Http;
-using System.Threading.Tasks;
-using Newtonsoft.Json;
-using System.IO;
-using System.Net;
-
-namespace IdeogramAPIClient
-{
-    public class GenerateResponse
-    {
-        [JsonProperty("created")]
-        public DateTime Created { get; set; }
-
-        [JsonProperty("data")]
-        public List<ImageObject> Data { get; set; }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Net.Http;
+using System.Threading.Tasks;
+using Newtonsoft.Json;
+using System.IO;
+using System.Net;
+
+namespace IdeogramAPIClient
+{
+    public class GenerateResponse
+    {
+        [JsonProperty("created")]
+        public DateTime Created { get; set; }
+
+        [JsonProperty("data")]
+        public List<ImageObject> Data { get; set; }
+    }
+}
diff --git a/IdeogramAPI/response/ImageObject.cs b/IdeogramAPI/response/ImageObject.cs
index 82cdc8d..fb47833 100644
--- a/IdeogramAPI/response/ImageObject.cs
+++ b/IdeogramAPI/response/ImageObject.cs
@@ -1,23 +1,23 @@
-using Newtonsoft.Json;
-
-namespace IdeogramAPIClient
-{
-    public class ImageObject
-    {
-        [JsonProperty("url")]
-        public string Url { get; set; }
-
-        [JsonProperty("prompt")]
-        public string Prompt { get; set; }
-
-        [JsonProperty("resolution")]
-        public string Resolution { get; set; }
-
-        [JsonProperty("is_image_safe")]
-        public bool IsImageSafe { get; set; }
-
-        [JsonProperty("seed")]
-        public int Seed { get; set; }
-    }
-
-}
+using Newtonsoft.Json;
+
+namespace IdeogramAPIClient
+{
+    public class ImageObject
+    {
+        [JsonProperty("url")]
+        public string Url { get; set; }
+
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; }
+
+        [JsonProperty("resolution")]
+        public string Resolution { get; set; }
+
+        [JsonProperty("is_image_safe")]
+        public bool IsImageSafe { get; set; }
+
+        [JsonProperty("seed")]
+        public int Seed { get; set; }
+    }
+
+}
diff --git a/IdeogramAPI/response/VisionResponse.cs b/IdeogramAPI/response/VisionResponse.cs
index 989d2aa..fb3ef82 100644
--- a/IdeogramAPI/response/VisionResponse.cs
+++ b/IdeogramAPI/response/VisionResponse.cs
@@ -1,16 +1,16 @@
-using System;
-using System.Collections.Generic;
-using System.Net.Http;
-using System.Threading.Tasks;
-using Newtonsoft.Json;
-using System.IO;
-using System.Net;
-
-namespace IdeogramAPIClient
-{
-    public class VisionResponse
-    {
-        [JsonProperty("descriptions")]
-        public List<string> Descriptions { get; set; }
-    }
+using System;
+using System.Collections.Generic;
+using System.Net.Http;
+using System.Threading.Tasks;
+using Newtonsoft.Json;
+using System.IO;
+using System.Net;
+
+namespace IdeogramAPIClient
+{
+    public class VisionResponse
+    {
+        [JsonProperty("descriptions")]
+        public List<string> Descriptions { get; set; }
+    }
 }
\ No newline at end of file
diff --git a/ImageGenerationClasses/ImageGenerationClasses.csproj b/ImageGenerationClasses/ImageGenerationClasses.csproj
index d89d10c..b87fb54 100644
--- a/ImageGenerationClasses/ImageGenerationClasses.csproj
+++ b/ImageGenerationClasses/ImageGenerationClasses.csproj
@@ -1,26 +1,26 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Library</OutputType>
-    <TargetFramework>net6.0</TargetFramework>
-    <LangVersion>10.0</LangVersion>
-    <ProjectGuid>{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}</ProjectGuid>
-    <Platforms>AnyCPU;ARM64</Platforms>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
-    <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
-    <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <None Update="settings.json">
-      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
-    </None>
-    <None Update="testImage.png">
-      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
-    </None>
-  </ItemGroup>
-
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Library</OutputType>
+    <TargetFramework>net6.0</TargetFramework>
+    <LangVersion>10.0</LangVersion>
+    <ProjectGuid>{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}</ProjectGuid>
+    <Platforms>AnyCPU;ARM64</Platforms>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
+    <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
+    <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <None Update="settings.json">
+      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+    </None>
+    <None Update="testImage.png">
+      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+    </None>
+  </ItemGroup>
+
 </Project>
\ No newline at end of file
diff --git a/ImageGenerationClasses/PromptHistoryStep.cs b/ImageGenerationClasses/PromptHistoryStep.cs
index 8cac5e8..b8d4c4b 100644
--- a/ImageGenerationClasses/PromptHistoryStep.cs
+++ b/ImageGenerationClasses/PromptHistoryStep.cs
@@ -1,40 +1,40 @@
-namespace MultiImageClient
-{
-    /// a step along the pipeline of generating the prompt.
-    /// The idea is that you generate these as you go along expanding/modifying the prompt, 
-    /// and then at least have them to accompany the actual image output to know its history.
-    public class PromptHistoryStep
-    {
-        public PromptHistoryStep(string newPrompt, string humanExplanation, TransformationType transformationType, PromptReplacementMetadata pmd = null)
-        {
-            Prompt = newPrompt;
-            Explanation = humanExplanation;
-            TransformationType = transformationType;
-            PromptReplacementMetadata = pmd;
-        }
-        public PromptHistoryStep(PromptHistoryStep other)
-        {
-            Prompt = other.Prompt;
-            Explanation = other.Explanation;
-            TransformationType = other.TransformationType;
-            PromptReplacementMetadata = other.PromptReplacementMetadata?.Copy();
-        }
-
-        public PromptReplacementMetadata PromptReplacementMetadata { get; set; }
-
-        /// You transformed the prompt somehow and got this new version!  This is always internal; when annotating, always use the explanation.
-        public string Prompt { get; set; }
-
-        /// Human description of what you atually did. For example, if you prompt a rewriter with an outer prompt + {prompt}, then put that text in, and the transformationType as Rewrite.
-        /// Question: should I do the replacement here? or do that live. For example, I need a step to track "figuring out the correct aspect ratio to request" e.g. with LLAMA or whatever.
-        public string Explanation { get; set; }
-        public TransformationType TransformationType { get; set; }
-
-        //a method to make mousing over this object show the description and details:
-        public override string ToString()
-        {
-            return $"{TransformationType} {Explanation}";
-        }
-    }
-}
-
+namespace MultiImageClient
+{
+    /// a step along the pipeline of generating the prompt.
+    /// The idea is that you generate these as you go along expanding/modifying the prompt, 
+    /// and then at least have them to accompany the actual image output to know its history.
+    public class PromptHistoryStep
+    {
+        public PromptHistoryStep(string newPrompt, string humanExplanation, TransformationType transformationType, PromptReplacementMetadata pmd = null)
+        {
+            Prompt = newPrompt;
+            Explanation = humanExplanation;
+            TransformationType = transformationType;
+            PromptReplacementMetadata = pmd;
+        }
+        public PromptHistoryStep(PromptHistoryStep other)
+        {
+            Prompt = other.Prompt;
+            Explanation = other.Explanation;
+            TransformationType = other.TransformationType;
+            PromptReplacementMetadata = other.PromptReplacementMetadata?.Copy();
+        }
+
+        public PromptReplacementMetadata PromptReplacementMetadata { get; set; }
+
+        /// You transformed the prompt somehow and got this new version!  This is always internal; when annotating, always use the explanation.
+        public string Prompt { get; set; }
+
+        /// Human description of what you atually did. For example, if you prompt a rewriter with an outer prompt + {prompt}, then put that text in, and the transformationType as Rewrite.
+        /// Question: should I do the replacement here? or do that live. For example, I need a step to track "figuring out the correct aspect ratio to request" e.g. with LLAMA or whatever.
+        public string Explanation { get; set; }
+        public TransformationType TransformationType { get; set; }
+
+        //a method to make mousing over this object show the description and details:
+        public override string ToString()
+        {
+            return $"{TransformationType} {Explanation}";
+        }
+    }
+}
+
diff --git a/ImageGenerationClasses/PromptReplacementMetadata.cs b/ImageGenerationClasses/PromptReplacementMetadata.cs
index c6e88c2..078de65 100644
--- a/ImageGenerationClasses/PromptReplacementMetadata.cs
+++ b/ImageGenerationClasses/PromptReplacementMetadata.cs
@@ -1,14 +1,14 @@
-namespace MultiImageClient
-{
-    public class PromptReplacementMetadata
-    {
-        public decimal ClaudeTemp { get; set; }
-        public PromptReplacementMetadata Copy()
-        {
-            return new PromptReplacementMetadata
-            {
-                ClaudeTemp = ClaudeTemp
-            };
-        }
-    }
-}
+namespace MultiImageClient
+{
+    public class PromptReplacementMetadata
+    {
+        public decimal ClaudeTemp { get; set; }
+        public PromptReplacementMetadata Copy()
+        {
+            return new PromptReplacementMetadata
+            {
+                ClaudeTemp = ClaudeTemp
+            };
+        }
+    }
+}
diff --git a/ImageGenerationClasses/Settings.cs b/ImageGenerationClasses/Settings.cs
index c63cc8a..022a333 100644
--- a/ImageGenerationClasses/Settings.cs
+++ b/ImageGenerationClasses/Settings.cs
@@ -1,64 +1,64 @@
-using System;
-using System.Collections.Generic;
-using System.IO;
-using Newtonsoft.Json;
-using Newtonsoft.Json.Linq;
-
-namespace MultiImageClient
-{
-    public class Settings
-    {
-        public string IdeogramApiKey { get; set; }
-        public string OpenAIApiKey { get; set; }
-        public string BFLApiKey {get;set;}
-        public string AnthropicApiKey{ get; set; }
-        public string LoadPromptsFrom { get; set; }
-        public bool EnableLogging { get; set; }
-        public string LogFilePath { get; set; }
-        public bool SaveJsonLog { get; set; }
-        /// save just image.jpg or image.png etc.
-        
-        public string ImageDownloadBaseFolder { get; set; }
-        
-        /// unused yet we always do RIGHT
-        public string AnnotationSide { get; set; } = "bottom";
-
-        public static Settings LoadFromFile(string filePath)
-        {
-            
-            if (!File.Exists(filePath))
-            {
-                throw new FileNotFoundException($"Settings file not found: {filePath}");
-            }
-
-            string json = File.ReadAllText(filePath);
-            var settings = JsonConvert.DeserializeObject<Settings>(json);
-            settings.Validate();
-            return settings;
-        }
-
-        public void Validate()
-        {
-            if (string.IsNullOrWhiteSpace(IdeogramApiKey))
-            {
-                throw new ArgumentException("IdeogramApiKey is required");
-            }
-
-            if (string.IsNullOrWhiteSpace(LogFilePath))
-            {
-                throw new ArgumentException("LogFilePath is required");
-            }
-
-            var logDirectory = Path.GetDirectoryName(LogFilePath);
-            if (!string.IsNullOrEmpty(logDirectory))
-            {
-                Directory.CreateDirectory(logDirectory);
-            }
-
-            if (!Directory.Exists(ImageDownloadBaseFolder))
-            {
-                Directory.CreateDirectory(ImageDownloadBaseFolder);
-            }
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.IO;
+using Newtonsoft.Json;
+using Newtonsoft.Json.Linq;
+
+namespace MultiImageClient
+{
+    public class Settings
+    {
+        public string IdeogramApiKey { get; set; }
+        public string OpenAIApiKey { get; set; }
+        public string BFLApiKey {get;set;}
+        public string AnthropicApiKey{ get; set; }
+        public string LoadPromptsFrom { get; set; }
+        public bool EnableLogging { get; set; }
+        public string LogFilePath { get; set; }
+        public bool SaveJsonLog { get; set; }
+        /// save just image.jpg or image.png etc.
+        
+        public string ImageDownloadBaseFolder { get; set; }
+        
+        /// unused yet we always do RIGHT
+        public string AnnotationSide { get; set; } = "bottom";
+
+        public static Settings LoadFromFile(string filePath)
+        {
+            
+            if (!File.Exists(filePath))
+            {
+                throw new FileNotFoundException($"Settings file not found: {filePath}");
+            }
+
+            string json = File.ReadAllText(filePath);
+            var settings = JsonConvert.DeserializeObject<Settings>(json);
+            settings.Validate();
+            return settings;
+        }
+
+        public void Validate()
+        {
+            if (string.IsNullOrWhiteSpace(IdeogramApiKey))
+            {
+                throw new ArgumentException("IdeogramApiKey is required");
+            }
+
+            if (string.IsNullOrWhiteSpace(LogFilePath))
+            {
+                throw new ArgumentException("LogFilePath is required");
+            }
+
+            var logDirectory = Path.GetDirectoryName(LogFilePath);
+            if (!string.IsNullOrEmpty(logDirectory))
+            {
+                Directory.CreateDirectory(logDirectory);
+            }
+
+            if (!Directory.Exists(ImageDownloadBaseFolder))
+            {
+                Directory.CreateDirectory(ImageDownloadBaseFolder);
+            }
+        }
+    }
+}
diff --git a/ImageGenerationClasses/TransformationType.cs b/ImageGenerationClasses/TransformationType.cs
index 7f2c9fb..83bf2eb 100644
--- a/ImageGenerationClasses/TransformationType.cs
+++ b/ImageGenerationClasses/TransformationType.cs
@@ -1,31 +1,31 @@
-namespace MultiImageClient
-{
-    public enum TransformationType
-    {
-        InitialPrompt = 1,
-        Variants = 2,
-        InitialExpand = 3,
-         
-
-        ClaudeRewrite = 20,
-        ClauedeRewriteRequest = 21,
-        ClaudeWouldRefuseRewrite = 22,
-        ClaudeDidRefuseRewrite = 23,
-
-        TextToImage = 30,
-        ImageToText = 40,
-        FigureOutAR = 50,
-        IdeogramRewrite = 60,
-        BFLRewrite = 70,
-        LLAmARewrite = 80,
-
-        Dalle3Rewrite = 90,
-
-        Randomizer = 100,
-
-        ManualSuffixation = 110,
-        
-        AddingArtistStyle = 120,
-    }
-}
-
+namespace MultiImageClient
+{
+    public enum TransformationType
+    {
+        InitialPrompt = 1,
+        Variants = 2,
+        InitialExpand = 3,
+         
+
+        ClaudeRewrite = 20,
+        ClauedeRewriteRequest = 21,
+        ClaudeWouldRefuseRewrite = 22,
+        ClaudeDidRefuseRewrite = 23,
+
+        TextToImage = 30,
+        ImageToText = 40,
+        FigureOutAR = 50,
+        IdeogramRewrite = 60,
+        BFLRewrite = 70,
+        LLAmARewrite = 80,
+
+        Dalle3Rewrite = 90,
+
+        Randomizer = 100,
+
+        ManualSuffixation = 110,
+        
+        AddingArtistStyle = 120,
+    }
+}
+
diff --git a/MultiImageClient.sln b/MultiImageClient.sln
index d24b3ae..53c27f2 100644
--- a/MultiImageClient.sln
+++ b/MultiImageClient.sln
@@ -1,61 +1,61 @@
-
-Microsoft Visual Studio Solution File, Format Version 12.00
-# Visual Studio Version 17
-VisualStudioVersion = 17.9.34728.123
-MinimumVisualStudioVersion = 10.0.40219.1
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "IdeogramAPIClient", "IdeogramAPI\IdeogramAPIClient.csproj", "{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}"
-EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "BFLAPIClient", "BFLApi\BFLAPIClient.csproj", "{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}"
-EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "MultiImageClient", "MultiImageClient\MultiImageClient.csproj", "{0AB858B6-6624-452A-A126-9851F2552B0A}"
-EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "ImageGenerationClasses", "ImageGenerationClasses\ImageGenerationClasses.csproj", "{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}"
-EndProject
-Global
-	GlobalSection(SolutionConfigurationPlatforms) = preSolution
-		Debug|Any CPU = Debug|Any CPU
-		Debug|ARM64 = Debug|ARM64
-		Release|Any CPU = Release|Any CPU
-		Release|ARM64 = Release|ARM64
-	EndGlobalSection
-	GlobalSection(ProjectConfigurationPlatforms) = postSolution
-		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Debug|ARM64.ActiveCfg = Debug|ARM64
-		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Debug|ARM64.Build.0 = Debug|ARM64
-		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Release|Any CPU.Build.0 = Release|Any CPU
-		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Release|ARM64.ActiveCfg = Release|ARM64
-		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Release|ARM64.Build.0 = Release|ARM64
-		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Debug|ARM64.ActiveCfg = Debug|ARM64
-		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Debug|ARM64.Build.0 = Debug|ARM64
-		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Release|Any CPU.Build.0 = Release|Any CPU
-		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Release|ARM64.ActiveCfg = Release|ARM64
-		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Release|ARM64.Build.0 = Release|ARM64
-		{0AB858B6-6624-452A-A126-9851F2552B0A}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{0AB858B6-6624-452A-A126-9851F2552B0A}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{0AB858B6-6624-452A-A126-9851F2552B0A}.Debug|ARM64.ActiveCfg = Debug|ARM64
-		{0AB858B6-6624-452A-A126-9851F2552B0A}.Debug|ARM64.Build.0 = Debug|ARM64
-		{0AB858B6-6624-452A-A126-9851F2552B0A}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{0AB858B6-6624-452A-A126-9851F2552B0A}.Release|Any CPU.Build.0 = Release|Any CPU
-		{0AB858B6-6624-452A-A126-9851F2552B0A}.Release|ARM64.ActiveCfg = Release|ARM64
-		{0AB858B6-6624-452A-A126-9851F2552B0A}.Release|ARM64.Build.0 = Release|ARM64
-		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Debug|ARM64.ActiveCfg = Debug|ARM64
-		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Debug|ARM64.Build.0 = Debug|ARM64
-		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|Any CPU.Build.0 = Release|Any CPU
-		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|ARM64.ActiveCfg = Release|ARM64
-		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|ARM64.Build.0 = Release|ARM64
-	EndGlobalSection
-	GlobalSection(SolutionProperties) = preSolution
-		HideSolutionNode = FALSE
-	EndGlobalSection
-	GlobalSection(ExtensibilityGlobals) = postSolution
-		SolutionGuid = {9F186CA4-8488-45D0-8D14-EEB629EF46DE}
-	EndGlobalSection
-EndGlobal
+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 17
+VisualStudioVersion = 17.9.34728.123
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "IdeogramAPIClient", "IdeogramAPI\IdeogramAPIClient.csproj", "{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}"
+EndProject
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "BFLAPIClient", "BFLApi\BFLAPIClient.csproj", "{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}"
+EndProject
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "MultiImageClient", "MultiImageClient\MultiImageClient.csproj", "{0AB858B6-6624-452A-A126-9851F2552B0A}"
+EndProject
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "ImageGenerationClasses", "ImageGenerationClasses\ImageGenerationClasses.csproj", "{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Any CPU = Debug|Any CPU
+		Debug|ARM64 = Debug|ARM64
+		Release|Any CPU = Release|Any CPU
+		Release|ARM64 = Release|ARM64
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Debug|ARM64.ActiveCfg = Debug|ARM64
+		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Debug|ARM64.Build.0 = Debug|ARM64
+		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Release|Any CPU.Build.0 = Release|Any CPU
+		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Release|ARM64.ActiveCfg = Release|ARM64
+		{3DFD03FC-9AAC-40A4-A883-AF9CA25D0055}.Release|ARM64.Build.0 = Release|ARM64
+		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Debug|ARM64.ActiveCfg = Debug|ARM64
+		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Debug|ARM64.Build.0 = Debug|ARM64
+		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Release|Any CPU.Build.0 = Release|Any CPU
+		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Release|ARM64.ActiveCfg = Release|ARM64
+		{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}.Release|ARM64.Build.0 = Release|ARM64
+		{0AB858B6-6624-452A-A126-9851F2552B0A}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{0AB858B6-6624-452A-A126-9851F2552B0A}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{0AB858B6-6624-452A-A126-9851F2552B0A}.Debug|ARM64.ActiveCfg = Debug|ARM64
+		{0AB858B6-6624-452A-A126-9851F2552B0A}.Debug|ARM64.Build.0 = Debug|ARM64
+		{0AB858B6-6624-452A-A126-9851F2552B0A}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{0AB858B6-6624-452A-A126-9851F2552B0A}.Release|Any CPU.Build.0 = Release|Any CPU
+		{0AB858B6-6624-452A-A126-9851F2552B0A}.Release|ARM64.ActiveCfg = Release|ARM64
+		{0AB858B6-6624-452A-A126-9851F2552B0A}.Release|ARM64.Build.0 = Release|ARM64
+		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Debug|ARM64.ActiveCfg = Debug|ARM64
+		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Debug|ARM64.Build.0 = Debug|ARM64
+		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|Any CPU.Build.0 = Release|Any CPU
+		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|ARM64.ActiveCfg = Release|ARM64
+		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|ARM64.Build.0 = Release|ARM64
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {9F186CA4-8488-45D0-8D14-EEB629EF46DE}
+	EndGlobalSection
+EndGlobal
diff --git a/MultiImageClient/.editorconfig b/MultiImageClient/.editorconfig
index fd70329..41c7012 100644
--- a/MultiImageClient/.editorconfig
+++ b/MultiImageClient/.editorconfig
@@ -1,93 +1,93 @@
-[*.cs]
-
-# IDE0090: Use 'new(...)'
-dotnet_diagnostic.IDE0090.severity = none
-csharp_using_directive_placement = outside_namespace:silent
-csharp_prefer_simple_using_statement = true:suggestion
-csharp_prefer_braces = true:silent
-csharp_style_namespace_declarations = block_scoped:silent
-csharp_style_prefer_method_group_conversion = true:silent
-csharp_style_prefer_top_level_statements = true:silent
-csharp_style_prefer_primary_constructors = true:suggestion
-csharp_style_expression_bodied_methods = false:silent
-csharp_style_expression_bodied_constructors = false:silent
-csharp_style_expression_bodied_operators = false:silent
-csharp_style_expression_bodied_properties = true:silent
-csharp_style_expression_bodied_indexers = true:silent
-csharp_style_expression_bodied_accessors = true:silent
-csharp_style_expression_bodied_lambdas = true:silent
-csharp_style_expression_bodied_local_functions = false:silent
-csharp_style_throw_expression = true:suggestion
-csharp_style_prefer_null_check_over_type_check = true:suggestion
-csharp_prefer_simple_default_expression = true:suggestion
-csharp_indent_labels = one_less_than_current
-csharp_style_prefer_local_over_anonymous_function = true:suggestion
-csharp_space_around_binary_operators = before_and_after
-
-[*.{cs,vb}]
-#### Naming styles ####
-
-# Naming rules
-
-dotnet_naming_rule.interface_should_be_begins_with_i.severity = suggestion
-dotnet_naming_rule.interface_should_be_begins_with_i.symbols = interface
-dotnet_naming_rule.interface_should_be_begins_with_i.style = begins_with_i
-
-dotnet_naming_rule.types_should_be_pascal_case.severity = suggestion
-dotnet_naming_rule.types_should_be_pascal_case.symbols = types
-dotnet_naming_rule.types_should_be_pascal_case.style = pascal_case
-
-dotnet_naming_rule.non_field_members_should_be_pascal_case.severity = suggestion
-dotnet_naming_rule.non_field_members_should_be_pascal_case.symbols = non_field_members
-dotnet_naming_rule.non_field_members_should_be_pascal_case.style = pascal_case
-
-# Symbol specifications
-
-dotnet_naming_symbols.interface.applicable_kinds = interface
-dotnet_naming_symbols.interface.applicable_accessibilities = public, internal, private, protected, protected_internal, private_protected
-dotnet_naming_symbols.interface.required_modifiers = 
-
-dotnet_naming_symbols.types.applicable_kinds = class, struct, interface, enum
-dotnet_naming_symbols.types.applicable_accessibilities = public, internal, private, protected, protected_internal, private_protected
-dotnet_naming_symbols.types.required_modifiers = 
-
-dotnet_naming_symbols.non_field_members.applicable_kinds = property, event, method
-dotnet_naming_symbols.non_field_members.applicable_accessibilities = public, internal, private, protected, protected_internal, private_protected
-dotnet_naming_symbols.non_field_members.required_modifiers = 
-
-# Naming styles
-
-dotnet_naming_style.begins_with_i.required_prefix = I
-dotnet_naming_style.begins_with_i.required_suffix = 
-dotnet_naming_style.begins_with_i.word_separator = 
-dotnet_naming_style.begins_with_i.capitalization = pascal_case
-
-dotnet_naming_style.pascal_case.required_prefix = 
-dotnet_naming_style.pascal_case.required_suffix = 
-dotnet_naming_style.pascal_case.word_separator = 
-dotnet_naming_style.pascal_case.capitalization = pascal_case
-
-dotnet_naming_style.pascal_case.required_prefix = 
-dotnet_naming_style.pascal_case.required_suffix = 
-dotnet_naming_style.pascal_case.word_separator = 
-dotnet_naming_style.pascal_case.capitalization = pascal_case
-dotnet_style_coalesce_expression = true:suggestion
-dotnet_style_null_propagation = true:suggestion
-dotnet_style_prefer_is_null_check_over_reference_equality_method = true:suggestion
-dotnet_style_prefer_auto_properties = true:silent
-dotnet_style_object_initializer = true:suggestion
-dotnet_style_collection_initializer = true:suggestion
-dotnet_style_prefer_simplified_boolean_expressions = true:suggestion
-dotnet_style_prefer_conditional_expression_over_assignment = true:silent
-dotnet_style_prefer_conditional_expression_over_return = true:silent
-dotnet_style_explicit_tuple_names = true:suggestion
-dotnet_style_prefer_inferred_tuple_names = true:suggestion
-dotnet_style_prefer_inferred_anonymous_type_member_names = true:suggestion
-dotnet_style_prefer_compound_assignment = true:suggestion
-dotnet_style_prefer_simplified_interpolation = true:suggestion
-dotnet_style_prefer_collection_expression = when_types_loosely_match:suggestion
-dotnet_style_namespace_match_folder = true:suggestion
-dotnet_style_operator_placement_when_wrapping = beginning_of_line
-tab_width = 4
-indent_size = 4
-end_of_line = crlf
+[*.cs]
+
+# IDE0090: Use 'new(...)'
+dotnet_diagnostic.IDE0090.severity = none
+csharp_using_directive_placement = outside_namespace:silent
+csharp_prefer_simple_using_statement = true:suggestion
+csharp_prefer_braces = true:silent
+csharp_style_namespace_declarations = block_scoped:silent
+csharp_style_prefer_method_group_conversion = true:silent
+csharp_style_prefer_top_level_statements = true:silent
+csharp_style_prefer_primary_constructors = true:suggestion
+csharp_style_expression_bodied_methods = false:silent
+csharp_style_expression_bodied_constructors = false:silent
+csharp_style_expression_bodied_operators = false:silent
+csharp_style_expression_bodied_properties = true:silent
+csharp_style_expression_bodied_indexers = true:silent
+csharp_style_expression_bodied_accessors = true:silent
+csharp_style_expression_bodied_lambdas = true:silent
+csharp_style_expression_bodied_local_functions = false:silent
+csharp_style_throw_expression = true:suggestion
+csharp_style_prefer_null_check_over_type_check = true:suggestion
+csharp_prefer_simple_default_expression = true:suggestion
+csharp_indent_labels = one_less_than_current
+csharp_style_prefer_local_over_anonymous_function = true:suggestion
+csharp_space_around_binary_operators = before_and_after
+
+[*.{cs,vb}]
+#### Naming styles ####
+
+# Naming rules
+
+dotnet_naming_rule.interface_should_be_begins_with_i.severity = suggestion
+dotnet_naming_rule.interface_should_be_begins_with_i.symbols = interface
+dotnet_naming_rule.interface_should_be_begins_with_i.style = begins_with_i
+
+dotnet_naming_rule.types_should_be_pascal_case.severity = suggestion
+dotnet_naming_rule.types_should_be_pascal_case.symbols = types
+dotnet_naming_rule.types_should_be_pascal_case.style = pascal_case
+
+dotnet_naming_rule.non_field_members_should_be_pascal_case.severity = suggestion
+dotnet_naming_rule.non_field_members_should_be_pascal_case.symbols = non_field_members
+dotnet_naming_rule.non_field_members_should_be_pascal_case.style = pascal_case
+
+# Symbol specifications
+
+dotnet_naming_symbols.interface.applicable_kinds = interface
+dotnet_naming_symbols.interface.applicable_accessibilities = public, internal, private, protected, protected_internal, private_protected
+dotnet_naming_symbols.interface.required_modifiers = 
+
+dotnet_naming_symbols.types.applicable_kinds = class, struct, interface, enum
+dotnet_naming_symbols.types.applicable_accessibilities = public, internal, private, protected, protected_internal, private_protected
+dotnet_naming_symbols.types.required_modifiers = 
+
+dotnet_naming_symbols.non_field_members.applicable_kinds = property, event, method
+dotnet_naming_symbols.non_field_members.applicable_accessibilities = public, internal, private, protected, protected_internal, private_protected
+dotnet_naming_symbols.non_field_members.required_modifiers = 
+
+# Naming styles
+
+dotnet_naming_style.begins_with_i.required_prefix = I
+dotnet_naming_style.begins_with_i.required_suffix = 
+dotnet_naming_style.begins_with_i.word_separator = 
+dotnet_naming_style.begins_with_i.capitalization = pascal_case
+
+dotnet_naming_style.pascal_case.required_prefix = 
+dotnet_naming_style.pascal_case.required_suffix = 
+dotnet_naming_style.pascal_case.word_separator = 
+dotnet_naming_style.pascal_case.capitalization = pascal_case
+
+dotnet_naming_style.pascal_case.required_prefix = 
+dotnet_naming_style.pascal_case.required_suffix = 
+dotnet_naming_style.pascal_case.word_separator = 
+dotnet_naming_style.pascal_case.capitalization = pascal_case
+dotnet_style_coalesce_expression = true:suggestion
+dotnet_style_null_propagation = true:suggestion
+dotnet_style_prefer_is_null_check_over_reference_equality_method = true:suggestion
+dotnet_style_prefer_auto_properties = true:silent
+dotnet_style_object_initializer = true:suggestion
+dotnet_style_collection_initializer = true:suggestion
+dotnet_style_prefer_simplified_boolean_expressions = true:suggestion
+dotnet_style_prefer_conditional_expression_over_assignment = true:silent
+dotnet_style_prefer_conditional_expression_over_return = true:silent
+dotnet_style_explicit_tuple_names = true:suggestion
+dotnet_style_prefer_inferred_tuple_names = true:suggestion
+dotnet_style_prefer_inferred_anonymous_type_member_names = true:suggestion
+dotnet_style_prefer_compound_assignment = true:suggestion
+dotnet_style_prefer_simplified_interpolation = true:suggestion
+dotnet_style_prefer_collection_expression = when_types_loosely_match:suggestion
+dotnet_style_namespace_match_folder = true:suggestion
+dotnet_style_operator_placement_when_wrapping = beginning_of_line
+tab_width = 4
+indent_size = 4
+end_of_line = crlf
diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index ec062fc..05894c2 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -1,22 +1,22 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public static class GeneratorApiTypeExtensions
-    {
-        public static string GetFileExtension(this ImageGeneratorApiType generator)
-        {
-            return generator switch
-            {
-                ImageGeneratorApiType.Ideogram => ".png",
-                ImageGeneratorApiType.BFL => ".jpg",
-                ImageGeneratorApiType.Dalle3 => ".png",
-                _ => throw new ArgumentException("Unknown generator type", nameof(generator))
-            };
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public static class GeneratorApiTypeExtensions
+    {
+        public static string GetFileExtension(this ImageGeneratorApiType generator)
+        {
+            return generator switch
+            {
+                ImageGeneratorApiType.Ideogram => ".png",
+                ImageGeneratorApiType.BFL => ".jpg",
+                ImageGeneratorApiType.Dalle3 => ".png",
+                _ => throw new ArgumentException("Unknown generator type", nameof(generator))
+            };
+        }
+    }
+}
diff --git a/MultiImageClient/Enums/GenericImageGenerationErrorType.cs b/MultiImageClient/Enums/GenericImageGenerationErrorType.cs
index f5e65ae..c73977a 100644
--- a/MultiImageClient/Enums/GenericImageGenerationErrorType.cs
+++ b/MultiImageClient/Enums/GenericImageGenerationErrorType.cs
@@ -1,13 +1,13 @@
-namespace MultiImageClient
-{
-    public enum GenericImageGenerationErrorType
-    {
-        RequestModerated = 1,
-        ContentModerated = 2,
-        NoMoneyLeft = 3,
-        Unknown = 4, //refine this if it happens; this is just a catch-all.
-        NoImagesGenerated = 5,
-    }
-
-
-}
+namespace MultiImageClient
+{
+    public enum GenericImageGenerationErrorType
+    {
+        RequestModerated = 1,
+        ContentModerated = 2,
+        NoMoneyLeft = 3,
+        Unknown = 4, //refine this if it happens; this is just a catch-all.
+        NoImagesGenerated = 5,
+    }
+
+
+}
diff --git a/MultiImageClient/Enums/GenericTextGenerationErrorType.cs b/MultiImageClient/Enums/GenericTextGenerationErrorType.cs
index 5b520c1..e76fddf 100644
--- a/MultiImageClient/Enums/GenericTextGenerationErrorType.cs
+++ b/MultiImageClient/Enums/GenericTextGenerationErrorType.cs
@@ -1,16 +1,16 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public enum GenericTextGenerationErrorType
-    {
-        RequestModerated = 1,
-        ContentModerated = 2,
-        NoMoneyLeft = 3,
-        Unknown = 4, //refine this if it happens; this 
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public enum GenericTextGenerationErrorType
+    {
+        RequestModerated = 1,
+        ContentModerated = 2,
+        NoMoneyLeft = 3,
+        Unknown = 4, //refine this if it happens; this 
+    }
+}
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 67fab03..3ccc281 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -1,12 +1,12 @@
-using System;
-
-namespace MultiImageClient
-{
-    public enum ImageGeneratorApiType
-    {
-        Midjourney = 1,
-        Dalle3 = 2,
-        Ideogram = 3,
-        BFL = 4,
-    }
+using System;
+
+namespace MultiImageClient
+{
+    public enum ImageGeneratorApiType
+    {
+        Midjourney = 1,
+        Dalle3 = 2,
+        Ideogram = 3,
+        BFL = 4,
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Enums/TextGeneratorApiType.cs b/MultiImageClient/Enums/TextGeneratorApiType.cs
index 1454434..31a97d8 100644
--- a/MultiImageClient/Enums/TextGeneratorApiType.cs
+++ b/MultiImageClient/Enums/TextGeneratorApiType.cs
@@ -1,14 +1,14 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public enum TextGeneratorApiType
-    {
-        Claude = 1,
-        LLAMA = 2,
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public enum TextGeneratorApiType
+    {
+        Claude = 1,
+        LLAMA = 2,
+    }
+}
diff --git a/MultiImageClient/Implementation/AbstractPromptGenerator.cs b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
index 640c43a..72d9925 100644
--- a/MultiImageClient/Implementation/AbstractPromptGenerator.cs
+++ b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
@@ -1,105 +1,105 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Reflection.Emit;
-
-namespace MultiImageClient
-{
-    /// <summary>
-    /// generate as much as you can of the prompt in here.
-    /// </summary>
-    public abstract class AbstractPromptGenerator
-    {
-        public abstract IEnumerable<PromptDetails> Prompts { get; }
-        public abstract Func<string, string> CleanPrompt { get; }
-        public abstract int ImageCreationLimit { get; }
-        /// how many times we send this prompt as of this level.
-        public abstract int CopiesPer { get; }
-
-        /// i.e. how many times we send it to each image generator, after applying all prior manipulation steps
-        public virtual int FullyResolvedCopiesPer { get; } = 1;
-        public abstract string Prefix { get; }
-        /// <summary>
-        ///  Variant leading texts, if any, which you want to include after the global prefix.
-        ///  
-        /// The overall structure we'll iterate through is: (copiesPer *) Prefix + Variant + Prompt + Suffix
-        /// </summary>
-        public abstract IEnumerable<string> Variants { get; }
-        public abstract string Suffix { get; }
-        public abstract bool RandomizeOrder { get; }
-        public abstract string Name { get; }
-
-        //defaults
-        public virtual bool UseClaude => true;
-        public virtual bool UseIdeogram => false;
-        public virtual bool UseBFL => true;
-        public virtual bool UseDalle3 => false;
-        public virtual bool SaveRaw => true;
-        public virtual bool SaveFullAnnotation => true;
-        public virtual bool SaveFinalPrompt => true;
-        public virtual bool SaveInitialIdea => true;
-        public virtual bool TryBothBFLUpsamplingAndNot => false;
-
-        /// Whether or not claude rewriting succeeds, just toss in a raw direct version of whatever you have to the image generator anyway.
-        public virtual bool AlsoDoVersionSkippingClaude => false;
-
-        public Settings Settings { get; set; }
-
-        public AbstractPromptGenerator(Settings settings)
-        {
-            Settings = settings;
-        }
-
-        /// Implementers should have their .Run method called from Program.cs to iterate through your prompts.
-        public IEnumerable<PromptDetails> Run()
-        {
-            var useVariants = new List<string>() { "" };
-            if (Variants != null && Variants.Count() > 0)
-            {
-                useVariants = Variants.ToList();
-            }
-            var returnedCount = 0;
-
-            foreach (var promptDetails in Prompts)
-            {
-                var cleanPrompt = CleanPrompt(promptDetails.Prompt).Trim();
-                if (string.IsNullOrWhiteSpace(cleanPrompt))
-                {
-                    continue;
-                }
-
-                foreach (var variantText in useVariants)
-                {
-                    var usingPrompt = cleanPrompt;
-                    if (!string.IsNullOrWhiteSpace(Prefix))
-                    {
-                        usingPrompt = $"{Prefix} {cleanPrompt}".Trim();
-                    }
-                    if (!string.IsNullOrWhiteSpace(variantText))
-                    {
-                        usingPrompt = $"{variantText} {usingPrompt}".Trim();
-                    }
-                    if (!string.IsNullOrWhiteSpace(Suffix))
-                    {
-                        usingPrompt = $"{usingPrompt} {Suffix}".Trim();
-                    }
-
-                    if (usingPrompt != promptDetails.Prompt)
-                    {
-                        promptDetails.ReplacePrompt(usingPrompt, usingPrompt, TransformationType.Variants);
-                    }
-
-                    for (var ii = 0; ii < CopiesPer; ii++)
-                    {
-                        var copy = promptDetails.Clone();
-                        yield return copy;
-                        returnedCount++;
-                        if (returnedCount >= ImageCreationLimit) yield break;
-                    }
-                    if (returnedCount >= ImageCreationLimit) yield break;
-                }
-                if (returnedCount >= ImageCreationLimit) yield break;
-            }
-        }
-    }
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Reflection.Emit;
+
+namespace MultiImageClient
+{
+    /// <summary>
+    /// generate as much as you can of the prompt in here.
+    /// </summary>
+    public abstract class AbstractPromptGenerator
+    {
+        public abstract IEnumerable<PromptDetails> Prompts { get; }
+        public abstract Func<string, string> CleanPrompt { get; }
+        public abstract int ImageCreationLimit { get; }
+        /// how many times we send this prompt as of this level.
+        public abstract int CopiesPer { get; }
+
+        /// i.e. how many times we send it to each image generator, after applying all prior manipulation steps
+        public virtual int FullyResolvedCopiesPer { get; } = 1;
+        public abstract string Prefix { get; }
+        /// <summary>
+        ///  Variant leading texts, if any, which you want to include after the global prefix.
+        ///  
+        /// The overall structure we'll iterate through is: (copiesPer *) Prefix + Variant + Prompt + Suffix
+        /// </summary>
+        public abstract IEnumerable<string> Variants { get; }
+        public abstract string Suffix { get; }
+        public abstract bool RandomizeOrder { get; }
+        public abstract string Name { get; }
+
+        //defaults
+        public virtual bool UseClaude => true;
+        public virtual bool UseIdeogram => false;
+        public virtual bool UseBFL => true;
+        public virtual bool UseDalle3 => false;
+        public virtual bool SaveRaw => true;
+        public virtual bool SaveFullAnnotation => true;
+        public virtual bool SaveFinalPrompt => true;
+        public virtual bool SaveInitialIdea => true;
+        public virtual bool TryBothBFLUpsamplingAndNot => false;
+
+        /// Whether or not claude rewriting succeeds, just toss in a raw direct version of whatever you have to the image generator anyway.
+        public virtual bool AlsoDoVersionSkippingClaude => false;
+
+        public Settings Settings { get; set; }
+
+        public AbstractPromptGenerator(Settings settings)
+        {
+            Settings = settings;
+        }
+
+        /// Implementers should have their .Run method called from Program.cs to iterate through your prompts.
+        public IEnumerable<PromptDetails> Run()
+        {
+            var useVariants = new List<string>() { "" };
+            if (Variants != null && Variants.Count() > 0)
+            {
+                useVariants = Variants.ToList();
+            }
+            var returnedCount = 0;
+
+            foreach (var promptDetails in Prompts)
+            {
+                var cleanPrompt = CleanPrompt(promptDetails.Prompt).Trim();
+                if (string.IsNullOrWhiteSpace(cleanPrompt))
+                {
+                    continue;
+                }
+
+                foreach (var variantText in useVariants)
+                {
+                    var usingPrompt = cleanPrompt;
+                    if (!string.IsNullOrWhiteSpace(Prefix))
+                    {
+                        usingPrompt = $"{Prefix} {cleanPrompt}".Trim();
+                    }
+                    if (!string.IsNullOrWhiteSpace(variantText))
+                    {
+                        usingPrompt = $"{variantText} {usingPrompt}".Trim();
+                    }
+                    if (!string.IsNullOrWhiteSpace(Suffix))
+                    {
+                        usingPrompt = $"{usingPrompt} {Suffix}".Trim();
+                    }
+
+                    if (usingPrompt != promptDetails.Prompt)
+                    {
+                        promptDetails.ReplacePrompt(usingPrompt, usingPrompt, TransformationType.Variants);
+                    }
+
+                    for (var ii = 0; ii < CopiesPer; ii++)
+                    {
+                        var copy = promptDetails.Clone();
+                        yield return copy;
+                        returnedCount++;
+                        if (returnedCount >= ImageCreationLimit) yield break;
+                    }
+                    if (returnedCount >= ImageCreationLimit) yield break;
+                }
+                if (returnedCount >= ImageCreationLimit) yield break;
+            }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/IImageGenerationService.cs b/MultiImageClient/Implementation/IImageGenerationService.cs
index 3f3fe22..328beb8 100644
--- a/MultiImageClient/Implementation/IImageGenerationService.cs
+++ b/MultiImageClient/Implementation/IImageGenerationService.cs
@@ -1,9 +1,9 @@
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public interface IImageGenerationService
-    {
-        Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats);
-    }
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public interface IImageGenerationService
+    {
+        Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats);
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/IImageGenerator.cs b/MultiImageClient/Implementation/IImageGenerator.cs
index 601ae63..3c4dc9e 100644
--- a/MultiImageClient/Implementation/IImageGenerator.cs
+++ b/MultiImageClient/Implementation/IImageGenerator.cs
@@ -1,13 +1,13 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public interface IImageGenerator
-    {
-        Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats);
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public interface IImageGenerator
+    {
+        Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats);
+    }
+}
diff --git a/MultiImageClient/Implementation/ITransformationStep.cs b/MultiImageClient/Implementation/ITransformationStep.cs
index dbf6979..6aa69e2 100644
--- a/MultiImageClient/Implementation/ITransformationStep.cs
+++ b/MultiImageClient/Implementation/ITransformationStep.cs
@@ -1,10 +1,10 @@
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public interface ITransformationStep
-    {
-        Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats);
-        string Name { get; }
-    }
-}
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public interface ITransformationStep
+    {
+        Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats);
+        string Name { get; }
+    }
+}
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 889f002..5695c16 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -1,170 +1,170 @@
-using System;
-using System.Threading.Tasks;
-using Newtonsoft.Json;
-using System.Collections.Generic;
-using System.IO;
-
-using IdeogramAPIClient;
-using System.Linq;
-
-
-namespace MultiImageClient
-{
-    public enum SaveType
-    {
-        Raw = 1,
-        FullAnnotation = 2,
-        InitialIdea = 3,
-        FinalPrompt = 4,
-        JustOverride = 5, // when w generate the prompt sometimes we just have a core word/phrase called the "IdentifyingConcept" which we want to make visible in both the filename and in this version with the subtitle for illustrative purposes. If you get one of these then just draw the text large, centered, in a nice font, with no other junk.
-    }
-
-    public static class ImageSaving
-    {
-        public static async Task<string> SaveImageAsync(
-            byte[] imageBytes,
-            TaskProcessResult result,
-            Settings settings,
-            MultiClientRunStats stats,
-            SaveType saveType,
-            string promptGeneratorName)
-        {
-            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
-            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder);
-
-            if (saveType != SaveType.Raw)
-            {
-                baseFolder = Path.Combine(baseFolder, saveType.ToString());
-            }
-
-            Directory.CreateDirectory(baseFolder);
-            var safeFilename = TextUtils.GenerateUniqueFilename(result, baseFolder, promptGeneratorName, saveType);
-            var fullPath = Path.Combine(baseFolder, $"{safeFilename}{result.ImageGenerator.GetFileExtension()}");
-
-            try
-            {
-                if (File.Exists(fullPath))
-                {
-                    Console.WriteLine("Overwriting!", fullPath);
-                    throw new Exception("no overwriting!");
-                }
-                await File.WriteAllBytesAsync(fullPath, imageBytes);
-                if (saveType == SaveType.Raw)
-                {
-                    Console.WriteLine($"\tSaved {saveType} image. Fp: {fullPath}");
-                }
-
-                if (saveType == SaveType.Raw)
-                {
-                    stats.SavedRawImageCount++;
-                }
-                else
-                {
-                    await AddAnnotationsAsync(imageBytes, result, fullPath, stats, saveType, promptGeneratorName);
-                    stats.SavedAnnotatedImageCount++;
-                }
-            }
-            catch (Exception ex)
-            {
-                Console.WriteLine($"\tError saving {saveType} image: {ex.Message}");
-            }
-
-            return fullPath;
-        }
-
-        private static async Task AddAnnotationsAsync(
-            byte[] imageBytes,
-            TaskProcessResult result,
-            string fullPath,
-            MultiClientRunStats stats,
-            SaveType saveType,
-            string promptGeneratorName)
-        {
-            var generator = result.ImageGenerator;
-            var promptDetails = result.PromptDetails;
-            var imageInfo = new Dictionary<string, string>();
-            var usingSteps = promptDetails.TransformationSteps;
-            switch (saveType)
-            {
-                case SaveType.FullAnnotation:
-
-                    AddFullAnnotationInfo(imageInfo, generator, promptDetails, promptGeneratorName);
-                    imageInfo.Add("Filename", Path.GetFileName(fullPath));
-                    usingSteps = promptDetails.TransformationSteps;
-                    break;
-                case SaveType.InitialIdea:
-
-                    var initialPrompt = promptDetails.TransformationSteps.First().Explanation;
-                    imageInfo.Add("Producer", generator.ToString());
-                    imageInfo.Add("Initial Prompt", initialPrompt);
-                    usingSteps = new List<PromptHistoryStep>();
-                    break;
-                case SaveType.FinalPrompt:
-
-                    var finalPrompt = promptDetails.Prompt;
-                    imageInfo.Add("Producer", generator.ToString());
-                    imageInfo.Add("Final Prompt", finalPrompt);
-                    usingSteps = new List<PromptHistoryStep>();
-                    break;
-                case SaveType.Raw:
-                    imageInfo = new Dictionary<string, string>();
-                    usingSteps = new List<PromptHistoryStep>();
-                    break;
-                case SaveType.JustOverride:
-                    imageInfo.Add("JUST", result.PromptDetails.IdentifyingConcept);
-                    break;
-            }
-
-            imageInfo = imageInfo.Where(kvp => !string.IsNullOrWhiteSpace(kvp.Value))
-                                    .ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
-
-            await TextFormatting.SaveImageAndAnnotateText(
-                imageBytes,
-                usingSteps,
-                imageInfo,
-                fullPath,
-                saveType
-            );
-        }
-
-        private static void AddFullAnnotationInfo(Dictionary<string, string> imageInfo, ImageGeneratorApiType generator, PromptDetails promptDetails, string promptGeneratorName)
-        {
-            
-            switch (generator)
-            {
-                case ImageGeneratorApiType.Ideogram:
-                    imageInfo.Add("Generator", "Ideogram V2");
-                    var ideogramDetails = promptDetails.IdeogramDetails;
-                    if (ideogramDetails.Model != default)
-                        imageInfo.Add("Model", ideogramDetails.Model.ToString());
-                    if (ideogramDetails.AspectRatio.HasValue)
-                        imageInfo.Add("AspectRatio", IdeogramUtils.StringifyAspectRatio(ideogramDetails.AspectRatio.Value));
-                    if (ideogramDetails.StyleType.HasValue)
-                        imageInfo.Add("StyleType", ideogramDetails.StyleType.Value.ToString());
-                    if (!string.IsNullOrWhiteSpace(ideogramDetails.NegativePrompt))
-                        imageInfo.Add("NegativePrompt", ideogramDetails.NegativePrompt);
-                    break;
-                case ImageGeneratorApiType.BFL:
-                    var bflDetails = promptDetails.BFLDetails;
-
-                    imageInfo.Add("Generator", "BFL Flux 1.1");
-                    //imageInfo.Add("Rewriting prompt", bflDetails.PromptUpsampling.ToString());
-                    if (bflDetails.Seed != default)
-                        imageInfo.Add("Seed", bflDetails.Seed.Value.ToString());
-                    if (bflDetails.Width != default && bflDetails.Height != default)
-                        imageInfo.Add("Size", $"{bflDetails.Width}x{bflDetails.Height}");
-                    if (bflDetails.SafetyTolerance != default)
-                        imageInfo.Add("SafetyTolerance", bflDetails.SafetyTolerance.ToString());
-                    break;
-                case ImageGeneratorApiType.Dalle3:
-                    imageInfo.Add("Generator", "Dall-e 3");
-                    var dalle3Details = promptDetails.Dalle3Details;
-                    imageInfo.Add("Size", $"{dalle3Details.Size}");
-                    imageInfo.Add("Quality", dalle3Details.Quality.ToString());
-                    break;
-            }
-            imageInfo.Add("Kind", promptGeneratorName);
-            imageInfo.Add("Generated", DateTime.Now.ToString());
-        }
-    }
-}
+using System;
+using System.Threading.Tasks;
+using Newtonsoft.Json;
+using System.Collections.Generic;
+using System.IO;
+
+using IdeogramAPIClient;
+using System.Linq;
+
+
+namespace MultiImageClient
+{
+    public enum SaveType
+    {
+        Raw = 1,
+        FullAnnotation = 2,
+        InitialIdea = 3,
+        FinalPrompt = 4,
+        JustOverride = 5, // when w generate the prompt sometimes we just have a core word/phrase called the "IdentifyingConcept" which we want to make visible in both the filename and in this version with the subtitle for illustrative purposes. If you get one of these then just draw the text large, centered, in a nice font, with no other junk.
+    }
+
+    public static class ImageSaving
+    {
+        public static async Task<string> SaveImageAsync(
+            byte[] imageBytes,
+            TaskProcessResult result,
+            Settings settings,
+            MultiClientRunStats stats,
+            SaveType saveType,
+            string promptGeneratorName)
+        {
+            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
+            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder);
+
+            if (saveType != SaveType.Raw)
+            {
+                baseFolder = Path.Combine(baseFolder, saveType.ToString());
+            }
+
+            Directory.CreateDirectory(baseFolder);
+            var safeFilename = TextUtils.GenerateUniqueFilename(result, baseFolder, promptGeneratorName, saveType);
+            var fullPath = Path.Combine(baseFolder, $"{safeFilename}{result.ImageGenerator.GetFileExtension()}");
+
+            try
+            {
+                if (File.Exists(fullPath))
+                {
+                    Console.WriteLine("Overwriting!", fullPath);
+                    throw new Exception("no overwriting!");
+                }
+                await File.WriteAllBytesAsync(fullPath, imageBytes);
+                if (saveType == SaveType.Raw)
+                {
+                    Console.WriteLine($"\tSaved {saveType} image. Fp: {fullPath}");
+                }
+
+                if (saveType == SaveType.Raw)
+                {
+                    stats.SavedRawImageCount++;
+                }
+                else
+                {
+                    await AddAnnotationsAsync(imageBytes, result, fullPath, stats, saveType, promptGeneratorName);
+                    stats.SavedAnnotatedImageCount++;
+                }
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"\tError saving {saveType} image: {ex.Message}");
+            }
+
+            return fullPath;
+        }
+
+        private static async Task AddAnnotationsAsync(
+            byte[] imageBytes,
+            TaskProcessResult result,
+            string fullPath,
+            MultiClientRunStats stats,
+            SaveType saveType,
+            string promptGeneratorName)
+        {
+            var generator = result.ImageGenerator;
+            var promptDetails = result.PromptDetails;
+            var imageInfo = new Dictionary<string, string>();
+            var usingSteps = promptDetails.TransformationSteps;
+            switch (saveType)
+            {
+                case SaveType.FullAnnotation:
+
+                    AddFullAnnotationInfo(imageInfo, generator, promptDetails, promptGeneratorName);
+                    imageInfo.Add("Filename", Path.GetFileName(fullPath));
+                    usingSteps = promptDetails.TransformationSteps;
+                    break;
+                case SaveType.InitialIdea:
+
+                    var initialPrompt = promptDetails.TransformationSteps.First().Explanation;
+                    imageInfo.Add("Producer", generator.ToString());
+                    imageInfo.Add("Initial Prompt", initialPrompt);
+                    usingSteps = new List<PromptHistoryStep>();
+                    break;
+                case SaveType.FinalPrompt:
+
+                    var finalPrompt = promptDetails.Prompt;
+                    imageInfo.Add("Producer", generator.ToString());
+                    imageInfo.Add("Final Prompt", finalPrompt);
+                    usingSteps = new List<PromptHistoryStep>();
+                    break;
+                case SaveType.Raw:
+                    imageInfo = new Dictionary<string, string>();
+                    usingSteps = new List<PromptHistoryStep>();
+                    break;
+                case SaveType.JustOverride:
+                    imageInfo.Add("JUST", result.PromptDetails.IdentifyingConcept);
+                    break;
+            }
+
+            imageInfo = imageInfo.Where(kvp => !string.IsNullOrWhiteSpace(kvp.Value))
+                                    .ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
+
+            await TextFormatting.SaveImageAndAnnotateText(
+                imageBytes,
+                usingSteps,
+                imageInfo,
+                fullPath,
+                saveType
+            );
+        }
+
+        private static void AddFullAnnotationInfo(Dictionary<string, string> imageInfo, ImageGeneratorApiType generator, PromptDetails promptDetails, string promptGeneratorName)
+        {
+            
+            switch (generator)
+            {
+                case ImageGeneratorApiType.Ideogram:
+                    imageInfo.Add("Generator", "Ideogram V2");
+                    var ideogramDetails = promptDetails.IdeogramDetails;
+                    if (ideogramDetails.Model != default)
+                        imageInfo.Add("Model", ideogramDetails.Model.ToString());
+                    if (ideogramDetails.AspectRatio.HasValue)
+                        imageInfo.Add("AspectRatio", IdeogramUtils.StringifyAspectRatio(ideogramDetails.AspectRatio.Value));
+                    if (ideogramDetails.StyleType.HasValue)
+                        imageInfo.Add("StyleType", ideogramDetails.StyleType.Value.ToString());
+                    if (!string.IsNullOrWhiteSpace(ideogramDetails.NegativePrompt))
+                        imageInfo.Add("NegativePrompt", ideogramDetails.NegativePrompt);
+                    break;
+                case ImageGeneratorApiType.BFL:
+                    var bflDetails = promptDetails.BFLDetails;
+
+                    imageInfo.Add("Generator", "BFL Flux 1.1");
+                    //imageInfo.Add("Rewriting prompt", bflDetails.PromptUpsampling.ToString());
+                    if (bflDetails.Seed != default)
+                        imageInfo.Add("Seed", bflDetails.Seed.Value.ToString());
+                    if (bflDetails.Width != default && bflDetails.Height != default)
+                        imageInfo.Add("Size", $"{bflDetails.Width}x{bflDetails.Height}");
+                    if (bflDetails.SafetyTolerance != default)
+                        imageInfo.Add("SafetyTolerance", bflDetails.SafetyTolerance.ToString());
+                    break;
+                case ImageGeneratorApiType.Dalle3:
+                    imageInfo.Add("Generator", "Dall-e 3");
+                    var dalle3Details = promptDetails.Dalle3Details;
+                    imageInfo.Add("Size", $"{dalle3Details.Size}");
+                    imageInfo.Add("Quality", dalle3Details.Quality.ToString());
+                    break;
+            }
+            imageInfo.Add("Kind", promptGeneratorName);
+            imageInfo.Add("Generated", DateTime.Now.ToString());
+        }
+    }
+}
diff --git a/MultiImageClient/Implementation/MultiClientRunStats.cs b/MultiImageClient/Implementation/MultiClientRunStats.cs
index 473d697..2f24e3d 100644
--- a/MultiImageClient/Implementation/MultiClientRunStats.cs
+++ b/MultiImageClient/Implementation/MultiClientRunStats.cs
@@ -1,57 +1,57 @@
-using System;
-using System.Collections.Generic;
-
-namespace MultiImageClient
-{
-    public class MultiClientRunStats
-    {
-        public int SavedRawImageCount { get; set; }
-        public int SavedAnnotatedImageCount { get; set; }
-        public int SavedJsonLogCount { get; set; }
-        public int IdeogramRequestCount { get; set; }
-        public int IdeogramRefusedCount { get; set; }
-        public int ClaudeRequestCount { get; set; }
-        public int ClaudeWouldRefuseCount { get; set; }
-        public int ClaudeRefusedCount { get; set; }
-        public int ClaudeRewroteCount { get; set; }
-        public int Dalle3RequestCount { get; set; }
-        public int Dalle3RefusedCount { get; set; }
-        public int BFLImageGenerationRequestCount { get; set; }
-        public int BFLImageGenerationSuccessCount { get; set; }
-        public int BFLImageGenerationErrorCount { get; set; }
-
-        public string PrintStats()
-        {
-            var nonZeroStats = new List<string>();
-
-            if (SavedRawImageCount > 0)
-                nonZeroStats.Add($"Raw Image Saved:{SavedRawImageCount}");
-            if (SavedJsonLogCount > 0)
-                nonZeroStats.Add($"JSON:{SavedJsonLogCount}");
-            
-            if (ClaudeWouldRefuseCount > 0)
-                nonZeroStats.Add($"Claude Would Refuse:{ClaudeWouldRefuseCount}");
-            if (ClaudeRequestCount > 0)
-                nonZeroStats.Add($"Claude Requests:{ClaudeRequestCount}");
-            if (ClaudeRefusedCount > 0)
-                nonZeroStats.Add($"Claude Refused:{ClaudeRefusedCount}");
-            if (ClaudeRewroteCount > 0)
-                nonZeroStats.Add($"Claude Accepted:{ClaudeRewroteCount}");
-
-            if (IdeogramRequestCount > 0)
-                nonZeroStats.Add($"Ideogram Requests:{IdeogramRequestCount}");
-            if (IdeogramRefusedCount > 0)
-                nonZeroStats.Add($"Ideogram Refused:{IdeogramRefusedCount}");
-
-            if (Dalle3RequestCount > 0)
-                nonZeroStats.Add($"Dalle3 Requests:{Dalle3RequestCount}");
-            if (Dalle3RefusedCount > 0)
-                nonZeroStats.Add($"Dalle3 Requests:{Dalle3RefusedCount}");
-
-            if (BFLImageGenerationRequestCount > 0 | BFLImageGenerationErrorCount>0 | BFLImageGenerationRequestCount > 0)
-                nonZeroStats.Add($"BFL: total:{BFLImageGenerationRequestCount}, ok:{BFLImageGenerationSuccessCount}, bad:{BFLImageGenerationErrorCount} ");
-
-            return $"Stats: {string.Join(", ", nonZeroStats)}";
-        }
-    }
+using System;
+using System.Collections.Generic;
+
+namespace MultiImageClient
+{
+    public class MultiClientRunStats
+    {
+        public int SavedRawImageCount { get; set; }
+        public int SavedAnnotatedImageCount { get; set; }
+        public int SavedJsonLogCount { get; set; }
+        public int IdeogramRequestCount { get; set; }
+        public int IdeogramRefusedCount { get; set; }
+        public int ClaudeRequestCount { get; set; }
+        public int ClaudeWouldRefuseCount { get; set; }
+        public int ClaudeRefusedCount { get; set; }
+        public int ClaudeRewroteCount { get; set; }
+        public int Dalle3RequestCount { get; set; }
+        public int Dalle3RefusedCount { get; set; }
+        public int BFLImageGenerationRequestCount { get; set; }
+        public int BFLImageGenerationSuccessCount { get; set; }
+        public int BFLImageGenerationErrorCount { get; set; }
+
+        public string PrintStats()
+        {
+            var nonZeroStats = new List<string>();
+
+            if (SavedRawImageCount > 0)
+                nonZeroStats.Add($"Raw Image Saved:{SavedRawImageCount}");
+            if (SavedJsonLogCount > 0)
+                nonZeroStats.Add($"JSON:{SavedJsonLogCount}");
+            
+            if (ClaudeWouldRefuseCount > 0)
+                nonZeroStats.Add($"Claude Would Refuse:{ClaudeWouldRefuseCount}");
+            if (ClaudeRequestCount > 0)
+                nonZeroStats.Add($"Claude Requests:{ClaudeRequestCount}");
+            if (ClaudeRefusedCount > 0)
+                nonZeroStats.Add($"Claude Refused:{ClaudeRefusedCount}");
+            if (ClaudeRewroteCount > 0)
+                nonZeroStats.Add($"Claude Accepted:{ClaudeRewroteCount}");
+
+            if (IdeogramRequestCount > 0)
+                nonZeroStats.Add($"Ideogram Requests:{IdeogramRequestCount}");
+            if (IdeogramRefusedCount > 0)
+                nonZeroStats.Add($"Ideogram Refused:{IdeogramRefusedCount}");
+
+            if (Dalle3RequestCount > 0)
+                nonZeroStats.Add($"Dalle3 Requests:{Dalle3RequestCount}");
+            if (Dalle3RefusedCount > 0)
+                nonZeroStats.Add($"Dalle3 Requests:{Dalle3RefusedCount}");
+
+            if (BFLImageGenerationRequestCount > 0 | BFLImageGenerationErrorCount>0 | BFLImageGenerationRequestCount > 0)
+                nonZeroStats.Add($"BFL: total:{BFLImageGenerationRequestCount}, ok:{BFLImageGenerationSuccessCount}, bad:{BFLImageGenerationErrorCount} ");
+
+            return $"Stats: {string.Join(", ", nonZeroStats)}";
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/PromptDetails.cs b/MultiImageClient/Implementation/PromptDetails.cs
index 07b6c28..4b2698b 100644
--- a/MultiImageClient/Implementation/PromptDetails.cs
+++ b/MultiImageClient/Implementation/PromptDetails.cs
@@ -1,117 +1,117 @@
-using System;
-using System.Collections.Generic;
-
-using IdeogramAPIClient;
-
-
-
-namespace MultiImageClient
-{
-    public class PromptDetails
-    {
-        
-        /// This should track the "active" prompt which the next step in the process should care about.  Earlier versions are in ImageConstructionSteps. <summary>
-        /// To modify it call ReplacePrompt to also fix up history.
-        public string Prompt { get; set; }
-
-        /// <summary>
-        /// If a generator wants the file to have a specific filename, it should fill this in. that is, regardless of whatever happens to the prompt after the transformation, or even the initail actual prompt, just use this. For example if you are generating a deck of cards, you might just set this up to say "2 or hearts" even if your raw original prompt for even the first step is "two hearts entwined in the style of jack vance" etc. This way the resulting filenames will make sense.
-        /// </summary>
-        public string IdentifyingConcept { get; set; } = "";
-
-        public IList<PromptHistoryStep> TransformationSteps { get; set; } = new List<PromptHistoryStep>();
-
-        /// Send these along and maybe one of the image consumers can use them to make a better image path etc.?
-        public BFLDetails BFLDetails { get; set; }
-
-        public IdeogramDetails IdeogramDetails { get; set; }
-        public Dalle3Details Dalle3Details { get; set; }
-
-        public void ReplacePrompt(string newPrompt, string explanation, TransformationType transformationType)
-        {
-            ReplacePrompt(newPrompt, explanation, transformationType, null);    
-        }
-
-        /// <summary>
-        /// This item's "Prompt" field is always the active prompt which will be really used to send to external consuemrs
-        /// however, often times it is really composed of like: $"Outer prompt stuff {previous version} Tail suffix stuff" and for user understanding we oftenw ant to show that.
-        /// So when you revise a prompt, always call this with the actual prompt, the description of what this transformation step is, and include a details field which is what we'll use to explain to users in the annotation, etc.
-        /// Explanation should be the full prompt, but can ALSO be preceded by any step-specific details such as temperature.
-        /// 
-        /// This is a helper method which forces callers to fill in the history of a request when they change the prompt. That way we won't lose track of it.
-        /// </summary>
-        public void ReplacePrompt(string newPrompt, string explanation, TransformationType transformationType, PromptReplacementMetadata promptReplacementMetadata)
-        {
-            var currentPromptText = Prompt;
-            if (string.IsNullOrEmpty(currentPromptText))
-            {
-                
-            }
-            else
-            {
-                explanation = explanation.Replace(currentPromptText, "{PROMPT}");
-            }
-            
-            var item = new PromptHistoryStep(newPrompt, explanation, transformationType, promptReplacementMetadata);
-            TransformationSteps.Add(item);
-            Prompt = newPrompt.Trim();
-        }
-
-        public string Show()
-        {
-            var shortText = Prompt.Length > 150 ? Prompt.Substring(0, 150) + "..." : Prompt;
-            return Prompt;
-            //return shortText;
-        }
-
-        public void UndoLastStep()
-        {
-            if (TransformationSteps.Count > 0)
-            {
-                TransformationSteps.RemoveAt(TransformationSteps.Count - 1);
-                
-                if (TransformationSteps.Count > 0)
-                {
-                    Prompt = TransformationSteps[TransformationSteps.Count - 1].Prompt;
-                }
-                else
-                {
-                    Prompt = string.Empty;
-                }
-            }
-        }
-
-        public void AddStep(string stepDescription, TransformationType transformationType)
-        {
-            var item = new PromptHistoryStep(Prompt, stepDescription, transformationType);
-            TransformationSteps.Add(item);
-        }
-
-        public PromptDetails Clone()
-        {
-            var clone = new PromptDetails
-            {
-                Prompt = Prompt,
-                IdentifyingConcept = IdentifyingConcept,
-                BFLDetails = BFLDetails != null ? new BFLDetails(BFLDetails) : null,
-                IdeogramDetails = IdeogramDetails != null ? new IdeogramDetails(IdeogramDetails) : null,
-                Dalle3Details = Dalle3Details != null ? new Dalle3Details(Dalle3Details) : null,
-                TransformationSteps = new List<PromptHistoryStep>(),
-            };
-
-            foreach (var step in TransformationSteps)
-            {
-                clone.TransformationSteps.Add(new PromptHistoryStep(step));
-            }
-
-            return clone;
-        }
-
-        //a method to make mousing over this object show the basic info on it:
-        public override string ToString()
-        {
-
-            return $"{Prompt}";
-        }
-    }
+using System;
+using System.Collections.Generic;
+
+using IdeogramAPIClient;
+
+
+
+namespace MultiImageClient
+{
+    public class PromptDetails
+    {
+        
+        /// This should track the "active" prompt which the next step in the process should care about.  Earlier versions are in ImageConstructionSteps. <summary>
+        /// To modify it call ReplacePrompt to also fix up history.
+        public string Prompt { get; set; }
+
+        /// <summary>
+        /// If a generator wants the file to have a specific filename, it should fill this in. that is, regardless of whatever happens to the prompt after the transformation, or even the initail actual prompt, just use this. For example if you are generating a deck of cards, you might just set this up to say "2 or hearts" even if your raw original prompt for even the first step is "two hearts entwined in the style of jack vance" etc. This way the resulting filenames will make sense.
+        /// </summary>
+        public string IdentifyingConcept { get; set; } = "";
+
+        public IList<PromptHistoryStep> TransformationSteps { get; set; } = new List<PromptHistoryStep>();
+
+        /// Send these along and maybe one of the image consumers can use them to make a better image path etc.?
+        public BFLDetails BFLDetails { get; set; }
+
+        public IdeogramDetails IdeogramDetails { get; set; }
+        public Dalle3Details Dalle3Details { get; set; }
+
+        public void ReplacePrompt(string newPrompt, string explanation, TransformationType transformationType)
+        {
+            ReplacePrompt(newPrompt, explanation, transformationType, null);    
+        }
+
+        /// <summary>
+        /// This item's "Prompt" field is always the active prompt which will be really used to send to external consuemrs
+        /// however, often times it is really composed of like: $"Outer prompt stuff {previous version} Tail suffix stuff" and for user understanding we oftenw ant to show that.
+        /// So when you revise a prompt, always call this with the actual prompt, the description of what this transformation step is, and include a details field which is what we'll use to explain to users in the annotation, etc.
+        /// Explanation should be the full prompt, but can ALSO be preceded by any step-specific details such as temperature.
+        /// 
+        /// This is a helper method which forces callers to fill in the history of a request when they change the prompt. That way we won't lose track of it.
+        /// </summary>
+        public void ReplacePrompt(string newPrompt, string explanation, TransformationType transformationType, PromptReplacementMetadata promptReplacementMetadata)
+        {
+            var currentPromptText = Prompt;
+            if (string.IsNullOrEmpty(currentPromptText))
+            {
+                
+            }
+            else
+            {
+                explanation = explanation.Replace(currentPromptText, "{PROMPT}");
+            }
+            
+            var item = new PromptHistoryStep(newPrompt, explanation, transformationType, promptReplacementMetadata);
+            TransformationSteps.Add(item);
+            Prompt = newPrompt.Trim();
+        }
+
+        public string Show()
+        {
+            var shortText = Prompt.Length > 150 ? Prompt.Substring(0, 150) + "..." : Prompt;
+            return Prompt;
+            //return shortText;
+        }
+
+        public void UndoLastStep()
+        {
+            if (TransformationSteps.Count > 0)
+            {
+                TransformationSteps.RemoveAt(TransformationSteps.Count - 1);
+                
+                if (TransformationSteps.Count > 0)
+                {
+                    Prompt = TransformationSteps[TransformationSteps.Count - 1].Prompt;
+                }
+                else
+                {
+                    Prompt = string.Empty;
+                }
+            }
+        }
+
+        public void AddStep(string stepDescription, TransformationType transformationType)
+        {
+            var item = new PromptHistoryStep(Prompt, stepDescription, transformationType);
+            TransformationSteps.Add(item);
+        }
+
+        public PromptDetails Clone()
+        {
+            var clone = new PromptDetails
+            {
+                Prompt = Prompt,
+                IdentifyingConcept = IdentifyingConcept,
+                BFLDetails = BFLDetails != null ? new BFLDetails(BFLDetails) : null,
+                IdeogramDetails = IdeogramDetails != null ? new IdeogramDetails(IdeogramDetails) : null,
+                Dalle3Details = Dalle3Details != null ? new Dalle3Details(Dalle3Details) : null,
+                TransformationSteps = new List<PromptHistoryStep>(),
+            };
+
+            foreach (var step in TransformationSteps)
+            {
+                clone.TransformationSteps.Add(new PromptHistoryStep(step));
+            }
+
+            return clone;
+        }
+
+        //a method to make mousing over this object show the basic info on it:
+        public override string ToString()
+        {
+
+            return $"{Prompt}";
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/TaskProcessResult.cs b/MultiImageClient/Implementation/TaskProcessResult.cs
index 1165543..23ea1ca 100644
--- a/MultiImageClient/Implementation/TaskProcessResult.cs
+++ b/MultiImageClient/Implementation/TaskProcessResult.cs
@@ -1,34 +1,34 @@
-using IdeogramAPIClient;
-
-
-namespace MultiImageClient
-{
-    /// Response type for async text rewrites or image generation steps.
-    public class TaskProcessResult
-    {
-        public bool IsSuccess { get; set; }
-        public GenericImageGenerationErrorType GenericImageErrorType { get; set; } = 0;
-        public GenericTextGenerationErrorType GenericTextErrorType { get; set; } = 0;
-        
-        public string ErrorMessage { get; set; }
-        public string Url { get; set; }
-
-        //The original request data and all changes etc.
-        public PromptDetails PromptDetails { get; set; }
-        public ImageGeneratorApiType ImageGenerator { get; set; }
-        public TextGeneratorApiType TextGenerator { get; set; }
-
-        public override string ToString()
-        {
-            if (GenericImageErrorType != 0)
-            {
-                return $"Error: {GenericImageErrorType} {ErrorMessage}";
-            }
-            if (GenericTextErrorType != 0)
-            {
-                return $"Error: {GenericTextErrorType} {ErrorMessage}";
-            }
-            return $"Success. {PromptDetails}";
-        }
-    }
+using IdeogramAPIClient;
+
+
+namespace MultiImageClient
+{
+    /// Response type for async text rewrites or image generation steps.
+    public class TaskProcessResult
+    {
+        public bool IsSuccess { get; set; }
+        public GenericImageGenerationErrorType GenericImageErrorType { get; set; } = 0;
+        public GenericTextGenerationErrorType GenericTextErrorType { get; set; } = 0;
+        
+        public string ErrorMessage { get; set; }
+        public string Url { get; set; }
+
+        //The original request data and all changes etc.
+        public PromptDetails PromptDetails { get; set; }
+        public ImageGeneratorApiType ImageGenerator { get; set; }
+        public TextGeneratorApiType TextGenerator { get; set; }
+
+        public override string ToString()
+        {
+            if (GenericImageErrorType != 0)
+            {
+                return $"Error: {GenericImageErrorType} {ErrorMessage}";
+            }
+            if (GenericTextErrorType != 0)
+            {
+                return $"Error: {GenericTextErrorType} {ErrorMessage}";
+            }
+            return $"Success. {PromptDetails}";
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index 6745158..7670ce2 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -1,268 +1,268 @@
-using System;
-using System.Collections.Generic;
-using System.Drawing.Imaging;
-using System.Drawing;
-using System.IO;
-using System.Linq;
-using System.Net.Http;
-using System.Threading.Tasks;
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-using System.Reflection;
-using System.Timers;
-using System.Text;
-using System.Windows.Forms;
-
-using IdeogramAPIClient;
-using System.Text.RegularExpressions;
-
-namespace MultiImageClient
-{
-    public static class TextFormatting
-    {
-        private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
-        private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
-
-        private static void DrawKeyValuePair(Graphics graphics, PromptHistoryStep step, float fontSize, float x, float keyWidth, float valueWidth, ref float y)
-        {
-            using (var whiteBrush = new SolidBrush(Color.White))
-            using (var blackBrush = new SolidBrush(Color.Black))
-            {
-                var key = $"{step.TransformationType}";
-                var value = $"{step.Explanation}";
-                if (step.PromptReplacementMetadata != null)
-                {
-                    //also write temp here.
-                }
-                if (value.Length > 2500)
-                {
-                    value = value.Substring(0, 2500)+"...";
-                }
-                using (var keyFont = GetSupportedFont(key, fontSize, FontStyle.Regular))
-                using (var valueFont = GetMonospacedFont(value, fontSize, FontStyle.Regular))
-                {
-                    float lineHeight = Math.Max(keyFont.GetHeight(graphics), valueFont.GetHeight(graphics)) + 2;
-                    StringFormat stringFormat = new StringFormat
-                    {
-                        Trimming = StringTrimming.Word,
-                        FormatFlags = StringFormatFlags.LineLimit | StringFormatFlags.MeasureTrailingSpaces
-                    };
-
-                    // Measure the height required for key and value
-                    var keySizeMeasured = graphics.MeasureString(key, keyFont, new SizeF(keyWidth, float.MaxValue), stringFormat);
-                    var valueSizeMeasured = graphics.MeasureString(value, valueFont, new SizeF(valueWidth, float.MaxValue), stringFormat);
-
-                    float maxHeight = Math.Max(keySizeMeasured.Height, valueSizeMeasured.Height);
-
-                    // Draw key
-                    graphics.FillRectangle(Brushes.Black, x, y, keyWidth, maxHeight);
-                    graphics.DrawString(key, keyFont, whiteBrush, new RectangleF(x, y, keyWidth, maxHeight), stringFormat);
-
-                    // Draw value
-                    graphics.FillRectangle(Brushes.White, x + keyWidth, y, valueWidth, maxHeight);
-                    graphics.DrawString(value, valueFont, blackBrush, new RectangleF(x + keyWidth, y, valueWidth, maxHeight), stringFormat);
-
-                    y += maxHeight + 5; // Move to the next line with some spacing
-                }
-            }
-        }
-
-        private static void DrawJustOneLargeText(Graphics graphics, string theText, float leftMargin, float totalWidth, ref float y)
-        {
-            using (var whiteBrush = new SolidBrush(Color.White))
-            using (var blackBrush = new SolidBrush(Color.Black))
-            {
-                // Define the font
-                float fontSize = 48; // Large font size
-                using (var font = new Font("Times New Roman", fontSize, FontStyle.Bold))
-                {
-                    // Measure the size of the text
-                    var textSize = graphics.MeasureString(theText, font);
-
-                    // Calculate the position to center the text
-                    float x = leftMargin + (totalWidth - textSize.Width) / 2;
-
-                    // Draw the background rectangle
-                    graphics.FillRectangle(blackBrush, leftMargin, y, totalWidth, textSize.Height);
-
-                    // Draw the text
-                    graphics.DrawString(theText, font, whiteBrush, x, y);
-
-                    // Update the y position
-                    y += textSize.Height + 10; // Add some spacing below the text
-                }
-            }
-
-        }
-        private static void DrawImageInfo(Graphics graphics, Dictionary<string, string> imageInfo, Font font, float x, float totalWidth, ref float y)
-        {
-            const float padding = 5f;
-            float lineHeight = font.GetHeight(graphics);
-            float currentX = x;
-            float maxY = y;
-
-            using (var whiteBrush = new SolidBrush(Color.White))
-            using (var blackBrush = new SolidBrush(Color.Black))
-            {
-                StringFormat stringFormat = new StringFormat
-                {
-                    Trimming = StringTrimming.Word,
-                    FormatFlags = StringFormatFlags.LineLimit | StringFormatFlags.MeasureTrailingSpaces
-                };
-
-                foreach (var kvp in imageInfo)
-                {
-                    float itemKeyWidth = graphics.MeasureString(kvp.Key, font).Width + padding;
-                    float maxValueWidth = totalWidth - itemKeyWidth;
-
-                    // Measure the actual width needed for the value
-                    SizeF valueSizeMeasured = graphics.MeasureString(kvp.Value, font, new SizeF(maxValueWidth, float.MaxValue), stringFormat);
-                    float actualValueWidth = Math.Min(valueSizeMeasured.Width, maxValueWidth);
-
-                    // Check if we need to move to the next line
-                    if (currentX + itemKeyWidth + actualValueWidth > x + totalWidth)
-                    {
-                        currentX = x;
-                        y = maxY + padding;
-                    }
-
-                    // Draw key (white on black)
-                    graphics.FillRectangle(Brushes.Black, currentX, y, itemKeyWidth, valueSizeMeasured.Height);
-                    graphics.DrawString(kvp.Key, font, whiteBrush, new RectangleF(currentX, y, itemKeyWidth, valueSizeMeasured.Height), stringFormat);
-
-                    // Draw value (black on white)
-                    graphics.FillRectangle(Brushes.White, currentX + itemKeyWidth, y, actualValueWidth, valueSizeMeasured.Height);
-                    graphics.DrawString(kvp.Value, font, blackBrush, new RectangleF(currentX + itemKeyWidth, y, actualValueWidth, valueSizeMeasured.Height), stringFormat);
-
-                    // Update positions
-                    currentX += itemKeyWidth + actualValueWidth + padding;
-                    maxY = Math.Max(maxY, y + valueSizeMeasured.Height);
-
-                    // If we're close to the right edge, move to the next line
-                    if (currentX + itemKeyWidth > x + totalWidth - padding)
-                    {
-                        currentX = x;
-                        y = maxY + padding;
-                    }
-                }
-            }
-
-            y = maxY + padding; // Update final y position
-        }
-
-        public static async Task SaveImageAndAnnotateText(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
-        {
-            using var ms = new MemoryStream(imageBytes);
-            using var originalImage = Image.FromStream(ms);
-
-            int annotationWidth = 1000; // Standard width for the right side annotation section
-            int annotationHeight = 100; // Height for the bottom annotation section
-
-            Bitmap annotatedImage;
-            Graphics graphics;
-
-            if (saveType == SaveType.JustOverride)
-            {
-                // Expand the image at the bottom
-                annotatedImage = new Bitmap(originalImage.Width, originalImage.Height + annotationHeight);
-                graphics = Graphics.FromImage(annotatedImage);
-
-                // Draw the original image
-                graphics.DrawImage(originalImage, 0, 0);
-
-                // Set up the annotation area at the bottom
-                graphics.FillRectangle(Brushes.Black, 0, originalImage.Height, originalImage.Width, annotationHeight);
-
-                float y = originalImage.Height + 10; // Start a bit below the top of the annotation area
-                float leftMargin = 10;
-                float rightMargin = annotatedImage.Width - 10;
-                float totalWidth = rightMargin - leftMargin;
-
-                var theText = imageInfo.First().Value;
-                DrawJustOneLargeText(graphics, theText, leftMargin, totalWidth, ref y);
-            }
-            else
-            {
-                // Expand the image on the right
-                annotatedImage = new Bitmap(originalImage.Width + annotationWidth, originalImage.Height);
-                graphics = Graphics.FromImage(annotatedImage);
-
-                // Draw the original image
-                graphics.DrawImage(originalImage, 0, 0);
-
-                // Set up the annotation area on the right
-                graphics.FillRectangle(Brushes.Black, originalImage.Width, 0, annotationWidth, originalImage.Height);
-
-                float y = 5; // Start a bit below the top
-                float fontSize = 12;
-
-                float leftMargin = originalImage.Width + 5;
-                float rightMargin = annotatedImage.Width - 5;
-                float totalWidth = rightMargin - leftMargin;
-                float keyWidth = totalWidth * KEY_WIDTH_PROPORTION;
-                float valueWidth = totalWidth * VALUE_WIDTH_PROPORTION;
-
-                // Draw text into the right side black rectangle
-                foreach (var historyStep in historySteps)
-                {
-                    DrawKeyValuePair(graphics, historyStep, fontSize, leftMargin, keyWidth, valueWidth, ref y);
-                    y += 2; // Add small gap between text pairs
-                }
-
-                DrawImageInfo(graphics, imageInfo, new Font("Arial", fontSize, FontStyle.Regular), leftMargin, totalWidth, ref y);
-            }
-
-            annotatedImage.Save(outputPath, ImageFormat.Png);
-        }
-
-        private static Font GetSupportedFont(string text, float fontSize, FontStyle style)
-        {
-            // List of fonts to try, in order of preference
-            string[] fontFamilies = { "Arial", "Segoe UI", "Microsoft Sans Serif", "Arial Unicode MS" };
-
-            foreach (string fontFamily in fontFamilies)
-            {
-                using (var font = new Font(fontFamily, fontSize, style))
-                {
-                    if (font.Name == fontFamily && CanDisplayText(font, text))
-                    {
-                        return new Font(fontFamily, fontSize, style);
-                    }
-                }
-            }
-
-            // If no font can display all characters, return a default font
-            return new Font(FontFamily.GenericSansSerif, fontSize, style);
-        }
-
-        private static bool CanDisplayText(Font font, string text)
-        {
-            using (var graphics = Graphics.FromHwnd(IntPtr.Zero))
-            {
-                return text.All(c => font.FontFamily.GetEmHeight(font.Style) != 0);
-            }
-        }
-
-        private static Font GetMonospacedFont(string text, float fontSize, FontStyle style)
-        {
-            // List of monospaced fonts to try, in order of preference
-            string[] monoFontFamilies = { "Consolas", "Courier New", "Lucida Console", "Monaco" };
-
-            foreach (string fontFamily in monoFontFamilies)
-            {
-                using (var font = new Font(fontFamily, fontSize, style))
-                {
-                    if (font.Name == fontFamily && CanDisplayText(font, text))
-                    {
-                        Console.WriteLine($"chose font: {font.Name} cause it could display all.");
-                        return new Font(fontFamily, fontSize, style);
-                    }
-                }
-            }
-
-            // If no monospaced font can display all characters, return a default monospaced font
-            Console.WriteLine($"Failed to choose font, fallback to genri mono");
-            return new Font(FontFamily.GenericMonospace, fontSize, style);
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Drawing.Imaging;
+using System.Drawing;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+using System.Reflection;
+using System.Timers;
+using System.Text;
+using System.Windows.Forms;
+
+using IdeogramAPIClient;
+using System.Text.RegularExpressions;
+
+namespace MultiImageClient
+{
+    public static class TextFormatting
+    {
+        private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
+        private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
+
+        private static void DrawKeyValuePair(Graphics graphics, PromptHistoryStep step, float fontSize, float x, float keyWidth, float valueWidth, ref float y)
+        {
+            using (var whiteBrush = new SolidBrush(Color.White))
+            using (var blackBrush = new SolidBrush(Color.Black))
+            {
+                var key = $"{step.TransformationType}";
+                var value = $"{step.Explanation}";
+                if (step.PromptReplacementMetadata != null)
+                {
+                    //also write temp here.
+                }
+                if (value.Length > 2500)
+                {
+                    value = value.Substring(0, 2500)+"...";
+                }
+                using (var keyFont = GetSupportedFont(key, fontSize, FontStyle.Regular))
+                using (var valueFont = GetMonospacedFont(value, fontSize, FontStyle.Regular))
+                {
+                    float lineHeight = Math.Max(keyFont.GetHeight(graphics), valueFont.GetHeight(graphics)) + 2;
+                    StringFormat stringFormat = new StringFormat
+                    {
+                        Trimming = StringTrimming.Word,
+                        FormatFlags = StringFormatFlags.LineLimit | StringFormatFlags.MeasureTrailingSpaces
+                    };
+
+                    // Measure the height required for key and value
+                    var keySizeMeasured = graphics.MeasureString(key, keyFont, new SizeF(keyWidth, float.MaxValue), stringFormat);
+                    var valueSizeMeasured = graphics.MeasureString(value, valueFont, new SizeF(valueWidth, float.MaxValue), stringFormat);
+
+                    float maxHeight = Math.Max(keySizeMeasured.Height, valueSizeMeasured.Height);
+
+                    // Draw key
+                    graphics.FillRectangle(Brushes.Black, x, y, keyWidth, maxHeight);
+                    graphics.DrawString(key, keyFont, whiteBrush, new RectangleF(x, y, keyWidth, maxHeight), stringFormat);
+
+                    // Draw value
+                    graphics.FillRectangle(Brushes.White, x + keyWidth, y, valueWidth, maxHeight);
+                    graphics.DrawString(value, valueFont, blackBrush, new RectangleF(x + keyWidth, y, valueWidth, maxHeight), stringFormat);
+
+                    y += maxHeight + 5; // Move to the next line with some spacing
+                }
+            }
+        }
+
+        private static void DrawJustOneLargeText(Graphics graphics, string theText, float leftMargin, float totalWidth, ref float y)
+        {
+            using (var whiteBrush = new SolidBrush(Color.White))
+            using (var blackBrush = new SolidBrush(Color.Black))
+            {
+                // Define the font
+                float fontSize = 48; // Large font size
+                using (var font = new Font("Times New Roman", fontSize, FontStyle.Bold))
+                {
+                    // Measure the size of the text
+                    var textSize = graphics.MeasureString(theText, font);
+
+                    // Calculate the position to center the text
+                    float x = leftMargin + (totalWidth - textSize.Width) / 2;
+
+                    // Draw the background rectangle
+                    graphics.FillRectangle(blackBrush, leftMargin, y, totalWidth, textSize.Height);
+
+                    // Draw the text
+                    graphics.DrawString(theText, font, whiteBrush, x, y);
+
+                    // Update the y position
+                    y += textSize.Height + 10; // Add some spacing below the text
+                }
+            }
+
+        }
+        private static void DrawImageInfo(Graphics graphics, Dictionary<string, string> imageInfo, Font font, float x, float totalWidth, ref float y)
+        {
+            const float padding = 5f;
+            float lineHeight = font.GetHeight(graphics);
+            float currentX = x;
+            float maxY = y;
+
+            using (var whiteBrush = new SolidBrush(Color.White))
+            using (var blackBrush = new SolidBrush(Color.Black))
+            {
+                StringFormat stringFormat = new StringFormat
+                {
+                    Trimming = StringTrimming.Word,
+                    FormatFlags = StringFormatFlags.LineLimit | StringFormatFlags.MeasureTrailingSpaces
+                };
+
+                foreach (var kvp in imageInfo)
+                {
+                    float itemKeyWidth = graphics.MeasureString(kvp.Key, font).Width + padding;
+                    float maxValueWidth = totalWidth - itemKeyWidth;
+
+                    // Measure the actual width needed for the value
+                    SizeF valueSizeMeasured = graphics.MeasureString(kvp.Value, font, new SizeF(maxValueWidth, float.MaxValue), stringFormat);
+                    float actualValueWidth = Math.Min(valueSizeMeasured.Width, maxValueWidth);
+
+                    // Check if we need to move to the next line
+                    if (currentX + itemKeyWidth + actualValueWidth > x + totalWidth)
+                    {
+                        currentX = x;
+                        y = maxY + padding;
+                    }
+
+                    // Draw key (white on black)
+                    graphics.FillRectangle(Brushes.Black, currentX, y, itemKeyWidth, valueSizeMeasured.Height);
+                    graphics.DrawString(kvp.Key, font, whiteBrush, new RectangleF(currentX, y, itemKeyWidth, valueSizeMeasured.Height), stringFormat);
+
+                    // Draw value (black on white)
+                    graphics.FillRectangle(Brushes.White, currentX + itemKeyWidth, y, actualValueWidth, valueSizeMeasured.Height);
+                    graphics.DrawString(kvp.Value, font, blackBrush, new RectangleF(currentX + itemKeyWidth, y, actualValueWidth, valueSizeMeasured.Height), stringFormat);
+
+                    // Update positions
+                    currentX += itemKeyWidth + actualValueWidth + padding;
+                    maxY = Math.Max(maxY, y + valueSizeMeasured.Height);
+
+                    // If we're close to the right edge, move to the next line
+                    if (currentX + itemKeyWidth > x + totalWidth - padding)
+                    {
+                        currentX = x;
+                        y = maxY + padding;
+                    }
+                }
+            }
+
+            y = maxY + padding; // Update final y position
+        }
+
+        public static async Task SaveImageAndAnnotateText(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
+        {
+            using var ms = new MemoryStream(imageBytes);
+            using var originalImage = Image.FromStream(ms);
+
+            int annotationWidth = 1000; // Standard width for the right side annotation section
+            int annotationHeight = 100; // Height for the bottom annotation section
+
+            Bitmap annotatedImage;
+            Graphics graphics;
+
+            if (saveType == SaveType.JustOverride)
+            {
+                // Expand the image at the bottom
+                annotatedImage = new Bitmap(originalImage.Width, originalImage.Height + annotationHeight);
+                graphics = Graphics.FromImage(annotatedImage);
+
+                // Draw the original image
+                graphics.DrawImage(originalImage, 0, 0);
+
+                // Set up the annotation area at the bottom
+                graphics.FillRectangle(Brushes.Black, 0, originalImage.Height, originalImage.Width, annotationHeight);
+
+                float y = originalImage.Height + 10; // Start a bit below the top of the annotation area
+                float leftMargin = 10;
+                float rightMargin = annotatedImage.Width - 10;
+                float totalWidth = rightMargin - leftMargin;
+
+                var theText = imageInfo.First().Value;
+                DrawJustOneLargeText(graphics, theText, leftMargin, totalWidth, ref y);
+            }
+            else
+            {
+                // Expand the image on the right
+                annotatedImage = new Bitmap(originalImage.Width + annotationWidth, originalImage.Height);
+                graphics = Graphics.FromImage(annotatedImage);
+
+                // Draw the original image
+                graphics.DrawImage(originalImage, 0, 0);
+
+                // Set up the annotation area on the right
+                graphics.FillRectangle(Brushes.Black, originalImage.Width, 0, annotationWidth, originalImage.Height);
+
+                float y = 5; // Start a bit below the top
+                float fontSize = 12;
+
+                float leftMargin = originalImage.Width + 5;
+                float rightMargin = annotatedImage.Width - 5;
+                float totalWidth = rightMargin - leftMargin;
+                float keyWidth = totalWidth * KEY_WIDTH_PROPORTION;
+                float valueWidth = totalWidth * VALUE_WIDTH_PROPORTION;
+
+                // Draw text into the right side black rectangle
+                foreach (var historyStep in historySteps)
+                {
+                    DrawKeyValuePair(graphics, historyStep, fontSize, leftMargin, keyWidth, valueWidth, ref y);
+                    y += 2; // Add small gap between text pairs
+                }
+
+                DrawImageInfo(graphics, imageInfo, new Font("Arial", fontSize, FontStyle.Regular), leftMargin, totalWidth, ref y);
+            }
+
+            annotatedImage.Save(outputPath, ImageFormat.Png);
+        }
+
+        private static Font GetSupportedFont(string text, float fontSize, FontStyle style)
+        {
+            // List of fonts to try, in order of preference
+            string[] fontFamilies = { "Arial", "Segoe UI", "Microsoft Sans Serif", "Arial Unicode MS" };
+
+            foreach (string fontFamily in fontFamilies)
+            {
+                using (var font = new Font(fontFamily, fontSize, style))
+                {
+                    if (font.Name == fontFamily && CanDisplayText(font, text))
+                    {
+                        return new Font(fontFamily, fontSize, style);
+                    }
+                }
+            }
+
+            // If no font can display all characters, return a default font
+            return new Font(FontFamily.GenericSansSerif, fontSize, style);
+        }
+
+        private static bool CanDisplayText(Font font, string text)
+        {
+            using (var graphics = Graphics.FromHwnd(IntPtr.Zero))
+            {
+                return text.All(c => font.FontFamily.GetEmHeight(font.Style) != 0);
+            }
+        }
+
+        private static Font GetMonospacedFont(string text, float fontSize, FontStyle style)
+        {
+            // List of monospaced fonts to try, in order of preference
+            string[] monoFontFamilies = { "Consolas", "Courier New", "Lucida Console", "Monaco" };
+
+            foreach (string fontFamily in monoFontFamilies)
+            {
+                using (var font = new Font(fontFamily, fontSize, style))
+                {
+                    if (font.Name == fontFamily && CanDisplayText(font, text))
+                    {
+                        Console.WriteLine($"chose font: {font.Name} cause it could display all.");
+                        return new Font(fontFamily, fontSize, style);
+                    }
+                }
+            }
+
+            // If no monospaced font can display all characters, return a default monospaced font
+            Console.WriteLine($"Failed to choose font, fallback to genri mono");
+            return new Font(FontFamily.GenericMonospace, fontSize, style);
+        }
+    }
+}
diff --git a/MultiImageClient/Implementation/TextUtils.cs b/MultiImageClient/Implementation/TextUtils.cs
index 1901195..75aaced 100644
--- a/MultiImageClient/Implementation/TextUtils.cs
+++ b/MultiImageClient/Implementation/TextUtils.cs
@@ -1,130 +1,130 @@
-using System;
-using System.Collections.Generic;
-using System.Drawing.Imaging;
-using System.Drawing;
-using System.IO;
-using System.Linq;
-using System.Net.Http;
-using System.Threading.Tasks;
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-using System.Reflection;
-using System.Timers;
-using System.Text;
-using System.Windows.Forms;
-
-using IdeogramAPIClient;
-using System.Text.RegularExpressions;
-using System.Xml.Linq;
-
-
-namespace MultiImageClient
-{
-    public static class TextUtils
-    {
-        private static readonly object _lockObject = new object();
-        private static readonly Dictionary<string, int> _filenameCounts = new Dictionary<string, int>();
-        private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
-        private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
-
-        public static string GenerateUniqueFilename(TaskProcessResult result, string baseFolder, string promptGeneratorName, SaveType saveType)
-        {
-            var usingPromptTextPart = TruncatePrompt(result.PromptDetails.Prompt, 90);
-            if (!string.IsNullOrEmpty(result.PromptDetails.IdentifyingConcept))
-            {
-                usingPromptTextPart = result.PromptDetails.IdentifyingConcept;
-            }
-
-            var components = new List<string>
-            {
-                promptGeneratorName,
-                result.ImageGenerator.ToString(),
-                usingPromptTextPart,
-
-                GetResolution(result.PromptDetails),
-                GetIfAPIServiceDoesRewrites(result.PromptDetails),
-
-                DateTime.Now.ToString("yyyyMMddHHmmss"),
-                saveType.ToString(),
-            };
-
-            string combined = string.Join("_", components.Where(c => !string.IsNullOrEmpty(c)));
-            string sanitized = SanitizeFilename(combined);
-
-            // Ensure the filename is unique
-            int count = 0;
-            string uniqueFilename;
-            do
-            {
-                uniqueFilename = count == 0 ? sanitized : $"{sanitized}_{count:D4}";
-                count++;
-            } while (File.Exists(Path.Combine(baseFolder, $"{uniqueFilename}{result.ImageGenerator.GetFileExtension()}")));
-
-            return uniqueFilename;
-        }
-
-        private static string TruncatePrompt(string prompt, int maxLength)
-        {
-            return prompt.Length > maxLength ? prompt.Substring(0, maxLength) : prompt;
-        }
-
-        private static string GetIfAPIServiceDoesRewrites(PromptDetails details)
-        {
-            if (details.BFLDetails != null)
-            {
-                if (details.BFLDetails.PromptUpsampling)
-                {
-                    return "BFL_upsampling";
-                }
-                else
-                {
-                    return "";
-                }
-            }
-            if (details.IdeogramDetails != null)
-            {
-                if (details.IdeogramDetails.MagicPromptOption == IdeogramMagicPromptOption.ON)
-                {
-                    return "MagicPrompt_YES";
-                }
-                else if (details.IdeogramDetails.MagicPromptOption == IdeogramMagicPromptOption.AUTO)
-                {
-                    return "MagicPrompt_Auto";
-                }
-                else
-                {
-                    return "";
-                }
-            }
-            return "";
-        }
-
-        private static string GetResolution(PromptDetails details)
-        {
-            if (details.BFLDetails != null && details.BFLDetails.Width != default && details.BFLDetails.Height != default)
-                return $"{details.BFLDetails.Width}x{details.BFLDetails.Height}";
-            if (details.Dalle3Details != null)
-                return details.Dalle3Details.Size.ToString();
-            if (details.IdeogramDetails?.AspectRatio != null)
-                return IdeogramUtils.StringifyAspectRatio(details.IdeogramDetails.AspectRatio.Value);
-            return "";
-        }
-
-        private static string GetSafetyTolerance(PromptDetails details)
-        {
-            if (details.BFLDetails != null && details.BFLDetails.SafetyTolerance != default)
-                return $"safety{details.BFLDetails.SafetyTolerance}";
-            return "";
-        }
-
-        private static string SanitizeFilename(string filename)
-        {
-            string sanitized = Regex.Replace(filename, @"[^a-zA-Z0-9_\-]", "_");
-            while (sanitized.Contains("__"))
-            {
-                sanitized = sanitized.Replace("__", "_");
-            }
-            return sanitized.Length > 200 ? sanitized.Substring(0, 200) : sanitized;
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Drawing.Imaging;
+using System.Drawing;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+using System.Reflection;
+using System.Timers;
+using System.Text;
+using System.Windows.Forms;
+
+using IdeogramAPIClient;
+using System.Text.RegularExpressions;
+using System.Xml.Linq;
+
+
+namespace MultiImageClient
+{
+    public static class TextUtils
+    {
+        private static readonly object _lockObject = new object();
+        private static readonly Dictionary<string, int> _filenameCounts = new Dictionary<string, int>();
+        private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
+        private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
+
+        public static string GenerateUniqueFilename(TaskProcessResult result, string baseFolder, string promptGeneratorName, SaveType saveType)
+        {
+            var usingPromptTextPart = TruncatePrompt(result.PromptDetails.Prompt, 90);
+            if (!string.IsNullOrEmpty(result.PromptDetails.IdentifyingConcept))
+            {
+                usingPromptTextPart = result.PromptDetails.IdentifyingConcept;
+            }
+
+            var components = new List<string>
+            {
+                promptGeneratorName,
+                result.ImageGenerator.ToString(),
+                usingPromptTextPart,
+
+                GetResolution(result.PromptDetails),
+                GetIfAPIServiceDoesRewrites(result.PromptDetails),
+
+                DateTime.Now.ToString("yyyyMMddHHmmss"),
+                saveType.ToString(),
+            };
+
+            string combined = string.Join("_", components.Where(c => !string.IsNullOrEmpty(c)));
+            string sanitized = SanitizeFilename(combined);
+
+            // Ensure the filename is unique
+            int count = 0;
+            string uniqueFilename;
+            do
+            {
+                uniqueFilename = count == 0 ? sanitized : $"{sanitized}_{count:D4}";
+                count++;
+            } while (File.Exists(Path.Combine(baseFolder, $"{uniqueFilename}{result.ImageGenerator.GetFileExtension()}")));
+
+            return uniqueFilename;
+        }
+
+        private static string TruncatePrompt(string prompt, int maxLength)
+        {
+            return prompt.Length > maxLength ? prompt.Substring(0, maxLength) : prompt;
+        }
+
+        private static string GetIfAPIServiceDoesRewrites(PromptDetails details)
+        {
+            if (details.BFLDetails != null)
+            {
+                if (details.BFLDetails.PromptUpsampling)
+                {
+                    return "BFL_upsampling";
+                }
+                else
+                {
+                    return "";
+                }
+            }
+            if (details.IdeogramDetails != null)
+            {
+                if (details.IdeogramDetails.MagicPromptOption == IdeogramMagicPromptOption.ON)
+                {
+                    return "MagicPrompt_YES";
+                }
+                else if (details.IdeogramDetails.MagicPromptOption == IdeogramMagicPromptOption.AUTO)
+                {
+                    return "MagicPrompt_Auto";
+                }
+                else
+                {
+                    return "";
+                }
+            }
+            return "";
+        }
+
+        private static string GetResolution(PromptDetails details)
+        {
+            if (details.BFLDetails != null && details.BFLDetails.Width != default && details.BFLDetails.Height != default)
+                return $"{details.BFLDetails.Width}x{details.BFLDetails.Height}";
+            if (details.Dalle3Details != null)
+                return details.Dalle3Details.Size.ToString();
+            if (details.IdeogramDetails?.AspectRatio != null)
+                return IdeogramUtils.StringifyAspectRatio(details.IdeogramDetails.AspectRatio.Value);
+            return "";
+        }
+
+        private static string GetSafetyTolerance(PromptDetails details)
+        {
+            if (details.BFLDetails != null && details.BFLDetails.SafetyTolerance != default)
+                return $"safety{details.BFLDetails.SafetyTolerance}";
+            return "";
+        }
+
+        private static string SanitizeFilename(string filename)
+        {
+            string sanitized = Regex.Replace(filename, @"[^a-zA-Z0-9_\-]", "_");
+            while (sanitized.Contains("__"))
+            {
+                sanitized = sanitized.Replace("__", "_");
+            }
+            return sanitized.Length > 200 ? sanitized.Substring(0, 200) : sanitized;
+        }
+    }
+}
diff --git a/MultiImageClient/MultiImageClient.csproj b/MultiImageClient/MultiImageClient.csproj
index 38c6715..610d7d0 100644
--- a/MultiImageClient/MultiImageClient.csproj
+++ b/MultiImageClient/MultiImageClient.csproj
@@ -1,48 +1,48 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFramework>net6.0</TargetFramework>
-    <LangVersion>10.0</LangVersion>
-    <ProjectGuid>{0AB858B6-6624-452A-A126-9851F2552B0A}</ProjectGuid>
-    <Platforms>AnyCPU;ARM64</Platforms>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <Compile Remove="ideogramSaves\**" />
-    <Compile Remove="saves\**" />
-    <EmbeddedResource Remove="ideogramSaves\**" />
-    <EmbeddedResource Remove="saves\**" />
-    <None Remove="ideogramSaves\**" />
-    <None Remove="saves\**" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
-    <PackageReference Include="LLamaSharp" Version="0.17.0" />
-    <PackageReference Include="LLamaSharp.Backend.Cuda12" Version="0.16.0" />
-    <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
-    <PackageReference Include="OpenAI" Version="2.0.0" />
-    <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\BFLApi\BFLAPIClient.csproj" />
-    <ProjectReference Include="..\IdeogramAPI\IdeogramAPIClient.csproj" />
-    <ProjectReference Include="..\ImageGenerationClasses\ImageGenerationClasses.csproj">
-    </ProjectReference>
-  </ItemGroup>
-
-  <ItemGroup>
-    <None Update="settings.json">
-      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
-    </None>
-    <None Update="testImage.png">
-      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
-    </None>
-    <None Update="claude-bad.txt">
-      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
-    </None>
-  </ItemGroup>
-
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net6.0</TargetFramework>
+    <LangVersion>10.0</LangVersion>
+    <ProjectGuid>{0AB858B6-6624-452A-A126-9851F2552B0A}</ProjectGuid>
+    <Platforms>AnyCPU;ARM64</Platforms>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <Compile Remove="ideogramSaves\**" />
+    <Compile Remove="saves\**" />
+    <EmbeddedResource Remove="ideogramSaves\**" />
+    <EmbeddedResource Remove="saves\**" />
+    <None Remove="ideogramSaves\**" />
+    <None Remove="saves\**" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
+    <PackageReference Include="LLamaSharp" Version="0.17.0" />
+    <PackageReference Include="LLamaSharp.Backend.Cuda12" Version="0.16.0" />
+    <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
+    <PackageReference Include="OpenAI" Version="2.0.0" />
+    <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\BFLApi\BFLAPIClient.csproj" />
+    <ProjectReference Include="..\IdeogramAPI\IdeogramAPIClient.csproj" />
+    <ProjectReference Include="..\ImageGenerationClasses\ImageGenerationClasses.csproj">
+    </ProjectReference>
+  </ItemGroup>
+
+  <ItemGroup>
+    <None Update="settings.json">
+      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+    </None>
+    <None Update="testImage.png">
+      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+    </None>
+    <None Update="claude-bad.txt">
+      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+    </None>
+  </ItemGroup>
+
 </Project>
\ No newline at end of file
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 3e49c40..a74aec7 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -1,193 +1,193 @@
-using System;
-using System.Net.Http;
-using System.Threading.Tasks;
-using System.Collections.Generic;
-using IdeogramAPIClient;
-using Newtonsoft.Json;
-using System.IO;
-using OpenAI.Images;
-using System.Linq;
-using System.ComponentModel.Design;
-using static LLama.Native.NativeLibraryConfig;
-using System.ComponentModel;
-using System.Drawing.Drawing2D;
-using System.Numerics;
-using System.Xml.Linq;
-using System.Xml;
-using System.Security.Cryptography.X509Certificates;
-using MultiImageClient.promptGenerators;
-
-namespace MultiImageClient
-{
-    /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
-    public class Program
-    {
-        private static readonly HttpClient httpClient = new HttpClient();
-        private static BFLService _BFLService;
-        private static IdeogramService _IdeogramService;
-        private static Dalle3Service _Dalle3Service;
-
-        static async Task Main(string[] args)
-        {
-            var settingsFilePath = "settings.json";
-            var settings = Settings.LoadFromFile(settingsFilePath);
-
-            Console.WriteLine("Current settings:");
-            Console.WriteLine($"Image Download Base:\t{settings.ImageDownloadBaseFolder}");
-            Console.WriteLine($"Save JSON Log:\t\t{settings.SaveJsonLog}");
-            Console.WriteLine($"Enable Logging:\t\t{settings.EnableLogging}");
-            Console.WriteLine($"Annotation Side:\t{settings.AnnotationSide}");
-            _BFLService = new BFLService(settings.BFLApiKey, 10);
-            _IdeogramService = new IdeogramService(settings.IdeogramApiKey, 10);
-            _Dalle3Service = new Dalle3Service(settings.OpenAIApiKey, 5);
-            var claudeService = new ClaudeService(settings.AnthropicApiKey, 10);
-
-            // here is where you have a choice. Super specific stuff like managing a run with repeats, targets etc can be controlled
-            // with specific classes which inherit from AbstractPromptGenerator. e.g. DeckOfCards
-            //var basePromptGenerator = new LoadFromFile(settings, "");
-            //var basePromptGenerator = new WriteHere(settings);
-            var steps = new List<ITransformationStep>();
-
-            var stats = new MultiClientRunStats();
-            var processingTasks = new List<Task>();
-            var basePromptGenerator = new LoadDoubleFromFile(settings, "", true, false);
-
-            var generators = new List<IImageGenerator>();
-            generators.Add(new BFLGenerator(_BFLService));
-            //generators.Add(new IdeogramGenerator(_IdeogramService));
-
-
-            var claudeStep = new ClaudeRewriteStep("Identify and COMBINE all these into a single output text, Logically be extremely creative and put all of them into a single, simple minimalistic scene with detailed depictions and format either high res digital pure natural painting, or watercolor at masterwork level, simplistic dashed off work which contains more mastery than all others. never be general and always be specific instead.  output a paragraph of beautiful simple prose with no prefix or suffix, just immediately describe the scene and its appearance in amazing detail and glory, following and logically somehow extrapolating a way that it would make sense for one single image to have all these things in them! use both sources completely, including all details, using and respecing user's include aspects and sources and retaining ALL aspects of each one! No newlines just normal 100 words including all elemenets, super arcane dense and jargon including abbrevations, yet matching coherently. Please combine all aspects of them and output the textual description of an incredibly attractive full image either a scene, super close up, or something.  ", $"", claudeService, 1.0m);
-            steps.Add(claudeStep);
-
-            //var manulaStep = new ManualModificationStep("", "Selnder lovely cute curvy south korean japanese models and monumental architecture. All individuals are over 20 years old, and are properly and voluntarily enjoying their participation in this scene staging.");
-            //steps.Add(manulaStep);
-            //var manulaStep = new ManualModificationStep("", "Extremely close up abstract image full of profound emotional import, part Bold super sharp photo, part watercolor, part super high res textured digital art with otherworldly high resolution and sharp detail or extreme minimalism and incredible art design.");
-            //steps.Add(manulaStep);
-
-            foreach (var promptDetails in basePromptGenerator.Run())
-            {
-                Console.WriteLine(stats.PrintStats());
-                Console.WriteLine($"\n----------------- Processing prompt: {promptDetails.Show()}");
-                
-                foreach (var step in steps)
-                {
-                    var res = await step.DoTransformation(promptDetails, stats);
-                    if (!res)
-                    {
-                        Console.WriteLine($"\tStep{step.Name} failed so skipping it. {promptDetails.Show()}");
-                        continue;
-                    }
-                    
-                    Console.WriteLine($"\tStep{step.Name} rewrote it to: {promptDetails.Show()}");
-                }
-
-                for (var jj = 0; jj < basePromptGenerator.FullyResolvedCopiesPer; jj++)
-                {
-                    foreach (var generator in generators)
-                    {
-                        var theCopy = promptDetails.Clone();
-                        processingTasks.Add(ProcessAndDownloadAsync(
-                           generator.ProcessPromptAsync(theCopy, stats),
-                               settings,
-                               basePromptGenerator,
-                               stats));
-                    }
-                    await Task.Delay(250);
-                }
-            }
-
-
-            await Task.WhenAll(processingTasks);
-            Console.WriteLine("All tasks completed.");
-            stats.PrintStats();
-        }
-
-        private static async Task ProcessAndDownloadAsync(Task<TaskProcessResult> processingTask, Settings settings, AbstractPromptGenerator abstractPromptGenerator, MultiClientRunStats stats)
-        {
-            try
-            {
-                var result = await processingTask;
-                if (result.IsSuccess)
-                {
-                    if (!string.IsNullOrEmpty(result.Url))
-                    {
-                        Console.WriteLine($"\t\tDownloading image");
-                        byte[] imageBytes = await DownloadImageAsync(result.Url);
-                        var savedImagePaths = new Dictionary<SaveType, string>();
-                        if (abstractPromptGenerator.SaveRaw)
-                        {
-                            savedImagePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.Raw, abstractPromptGenerator.Name);
-                        }
-                        if (abstractPromptGenerator.SaveFullAnnotation)
-                        {
-                            savedImagePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.FullAnnotation, abstractPromptGenerator.Name);
-                        }
-                        if (abstractPromptGenerator.SaveFinalPrompt)
-                        {
-                            savedImagePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.FinalPrompt, abstractPromptGenerator.Name);
-                        }
-                        if (abstractPromptGenerator.SaveInitialIdea)
-                        {
-                            savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.InitialIdea, abstractPromptGenerator.Name);
-                        }
-                        
-                        savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.JustOverride, abstractPromptGenerator.Name);
-
-                        if (settings.SaveJsonLog)
-                        {
-                            await SaveJsonLogAsync(result, savedImagePaths, settings);
-                        }
-                    }
-                    else
-                    {
-                        Console.WriteLine($"No URL: {result.ErrorMessage}");
-                    }
-                }
-                else
-                {                    
-                        Console.WriteLine(result);
-                }
-            }
-            catch (Exception ex)
-            {
-                Console.WriteLine($"\tAn error occurred while processing a task: {ex.Message}");
-            }
-        }
-        private static async Task SaveJsonLogAsync(TaskProcessResult result, Dictionary<SaveType, string> savedImagePaths, Settings settings)
-        {
-            var jsonLog = new
-            {
-                Timestamp = DateTime.UtcNow,
-                result.PromptDetails,
-                GeneratedImageUrl = result.Url,
-                SavedImagePaths = savedImagePaths,
-                ServiceUsed = result.ImageGenerator,
-                result.ErrorMessage,
-            };
-            string jsonString = JsonConvert.SerializeObject(jsonLog, Newtonsoft.Json.Formatting.Indented);
-            if (savedImagePaths.TryGetValue(SaveType.Raw, out string rawImagePath))
-            {
-                string jsonFilePath = Path.ChangeExtension(rawImagePath, ".json");
-                await File.WriteAllTextAsync(jsonFilePath, jsonString);
-                //Console.WriteLine($"\tJSON log saved to: {jsonFilePath}");
-            }
-            else
-            {
-                Console.WriteLine("\tUnable to save JSON log: Raw image path not found.");
-            }
-        }
-        public static async Task<byte[]> DownloadImageAsync(string imageUrl)
-        {
-            try
-            {
-                return await httpClient.GetByteArrayAsync(imageUrl);
-            }
-            catch (Exception ex)
-            {
-                Console.WriteLine($"Failed to download image from {imageUrl}: {ex.Message}");
-                return Array.Empty<byte>();
-            }
-        }
-    }
-}
+using System;
+using System.Net.Http;
+using System.Threading.Tasks;
+using System.Collections.Generic;
+using IdeogramAPIClient;
+using Newtonsoft.Json;
+using System.IO;
+using OpenAI.Images;
+using System.Linq;
+using System.ComponentModel.Design;
+using static LLama.Native.NativeLibraryConfig;
+using System.ComponentModel;
+using System.Drawing.Drawing2D;
+using System.Numerics;
+using System.Xml.Linq;
+using System.Xml;
+using System.Security.Cryptography.X509Certificates;
+using MultiImageClient.promptGenerators;
+
+namespace MultiImageClient
+{
+    /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
+    public class Program
+    {
+        private static readonly HttpClient httpClient = new HttpClient();
+        private static BFLService _BFLService;
+        private static IdeogramService _IdeogramService;
+        private static Dalle3Service _Dalle3Service;
+
+        static async Task Main(string[] args)
+        {
+            var settingsFilePath = "settings.json";
+            var settings = Settings.LoadFromFile(settingsFilePath);
+
+            Console.WriteLine("Current settings:");
+            Console.WriteLine($"Image Download Base:\t{settings.ImageDownloadBaseFolder}");
+            Console.WriteLine($"Save JSON Log:\t\t{settings.SaveJsonLog}");
+            Console.WriteLine($"Enable Logging:\t\t{settings.EnableLogging}");
+            Console.WriteLine($"Annotation Side:\t{settings.AnnotationSide}");
+            _BFLService = new BFLService(settings.BFLApiKey, 10);
+            _IdeogramService = new IdeogramService(settings.IdeogramApiKey, 10);
+            _Dalle3Service = new Dalle3Service(settings.OpenAIApiKey, 5);
+            var claudeService = new ClaudeService(settings.AnthropicApiKey, 10);
+
+            // here is where you have a choice. Super specific stuff like managing a run with repeats, targets etc can be controlled
+            // with specific classes which inherit from AbstractPromptGenerator. e.g. DeckOfCards
+            //var basePromptGenerator = new LoadFromFile(settings, "");
+            //var basePromptGenerator = new WriteHere(settings);
+            var steps = new List<ITransformationStep>();
+
+            var stats = new MultiClientRunStats();
+            var processingTasks = new List<Task>();
+            var basePromptGenerator = new LoadDoubleFromFile(settings, "", true, false);
+
+            var generators = new List<IImageGenerator>();
+            generators.Add(new BFLGenerator(_BFLService));
+            //generators.Add(new IdeogramGenerator(_IdeogramService));
+
+
+            var claudeStep = new ClaudeRewriteStep("Identify and COMBINE all these into a single output text, Logically be extremely creative and put all of them into a single, simple minimalistic scene with detailed depictions and format either high res digital pure natural painting, or watercolor at masterwork level, simplistic dashed off work which contains more mastery than all others. never be general and always be specific instead.  output a paragraph of beautiful simple prose with no prefix or suffix, just immediately describe the scene and its appearance in amazing detail and glory, following and logically somehow extrapolating a way that it would make sense for one single image to have all these things in them! use both sources completely, including all details, using and respecing user's include aspects and sources and retaining ALL aspects of each one! No newlines just normal 100 words including all elemenets, super arcane dense and jargon including abbrevations, yet matching coherently. Please combine all aspects of them and output the textual description of an incredibly attractive full image either a scene, super close up, or something.  ", $"", claudeService, 1.0m);
+            steps.Add(claudeStep);
+
+            //var manulaStep = new ManualModificationStep("", "Selnder lovely cute curvy south korean japanese models and monumental architecture. All individuals are over 20 years old, and are properly and voluntarily enjoying their participation in this scene staging.");
+            //steps.Add(manulaStep);
+            //var manulaStep = new ManualModificationStep("", "Extremely close up abstract image full of profound emotional import, part Bold super sharp photo, part watercolor, part super high res textured digital art with otherworldly high resolution and sharp detail or extreme minimalism and incredible art design.");
+            //steps.Add(manulaStep);
+
+            foreach (var promptDetails in basePromptGenerator.Run())
+            {
+                Console.WriteLine(stats.PrintStats());
+                Console.WriteLine($"\n----------------- Processing prompt: {promptDetails.Show()}");
+                
+                foreach (var step in steps)
+                {
+                    var res = await step.DoTransformation(promptDetails, stats);
+                    if (!res)
+                    {
+                        Console.WriteLine($"\tStep{step.Name} failed so skipping it. {promptDetails.Show()}");
+                        continue;
+                    }
+                    
+                    Console.WriteLine($"\tStep{step.Name} rewrote it to: {promptDetails.Show()}");
+                }
+
+                for (var jj = 0; jj < basePromptGenerator.FullyResolvedCopiesPer; jj++)
+                {
+                    foreach (var generator in generators)
+                    {
+                        var theCopy = promptDetails.Clone();
+                        processingTasks.Add(ProcessAndDownloadAsync(
+                           generator.ProcessPromptAsync(theCopy, stats),
+                               settings,
+                               basePromptGenerator,
+                               stats));
+                    }
+                    await Task.Delay(250);
+                }
+            }
+
+
+            await Task.WhenAll(processingTasks);
+            Console.WriteLine("All tasks completed.");
+            stats.PrintStats();
+        }
+
+        private static async Task ProcessAndDownloadAsync(Task<TaskProcessResult> processingTask, Settings settings, AbstractPromptGenerator abstractPromptGenerator, MultiClientRunStats stats)
+        {
+            try
+            {
+                var result = await processingTask;
+                if (result.IsSuccess)
+                {
+                    if (!string.IsNullOrEmpty(result.Url))
+                    {
+                        Console.WriteLine($"\t\tDownloading image");
+                        byte[] imageBytes = await DownloadImageAsync(result.Url);
+                        var savedImagePaths = new Dictionary<SaveType, string>();
+                        if (abstractPromptGenerator.SaveRaw)
+                        {
+                            savedImagePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.Raw, abstractPromptGenerator.Name);
+                        }
+                        if (abstractPromptGenerator.SaveFullAnnotation)
+                        {
+                            savedImagePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.FullAnnotation, abstractPromptGenerator.Name);
+                        }
+                        if (abstractPromptGenerator.SaveFinalPrompt)
+                        {
+                            savedImagePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.FinalPrompt, abstractPromptGenerator.Name);
+                        }
+                        if (abstractPromptGenerator.SaveInitialIdea)
+                        {
+                            savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.InitialIdea, abstractPromptGenerator.Name);
+                        }
+                        
+                        savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.JustOverride, abstractPromptGenerator.Name);
+
+                        if (settings.SaveJsonLog)
+                        {
+                            await SaveJsonLogAsync(result, savedImagePaths, settings);
+                        }
+                    }
+                    else
+                    {
+                        Console.WriteLine($"No URL: {result.ErrorMessage}");
+                    }
+                }
+                else
+                {                    
+                        Console.WriteLine(result);
+                }
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"\tAn error occurred while processing a task: {ex.Message}");
+            }
+        }
+        private static async Task SaveJsonLogAsync(TaskProcessResult result, Dictionary<SaveType, string> savedImagePaths, Settings settings)
+        {
+            var jsonLog = new
+            {
+                Timestamp = DateTime.UtcNow,
+                result.PromptDetails,
+                GeneratedImageUrl = result.Url,
+                SavedImagePaths = savedImagePaths,
+                ServiceUsed = result.ImageGenerator,
+                result.ErrorMessage,
+            };
+            string jsonString = JsonConvert.SerializeObject(jsonLog, Newtonsoft.Json.Formatting.Indented);
+            if (savedImagePaths.TryGetValue(SaveType.Raw, out string rawImagePath))
+            {
+                string jsonFilePath = Path.ChangeExtension(rawImagePath, ".json");
+                await File.WriteAllTextAsync(jsonFilePath, jsonString);
+                //Console.WriteLine($"\tJSON log saved to: {jsonFilePath}");
+            }
+            else
+            {
+                Console.WriteLine("\tUnable to save JSON log: Raw image path not found.");
+            }
+        }
+        public static async Task<byte[]> DownloadImageAsync(string imageUrl)
+        {
+            try
+            {
+                return await httpClient.GetByteArrayAsync(imageUrl);
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"Failed to download image from {imageUrl}: {ex.Message}");
+                return Array.Empty<byte>();
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/Services/BFLService.cs b/MultiImageClient/Services/BFLService.cs
index c9ad876..8f9012e 100644
--- a/MultiImageClient/Services/BFLService.cs
+++ b/MultiImageClient/Services/BFLService.cs
@@ -1,91 +1,91 @@
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-
-using System;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class BFLService : IImageGenerationService
-    {
-        private SemaphoreSlim _bflSemaphore;
-        private BFLClient _bflClient;
-
-        public BFLService(string apiKey, int maxConcurrency)
-        {
-            _bflClient = new BFLClient(apiKey);
-            _bflSemaphore = new SemaphoreSlim(maxConcurrency);
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
-        {
-            await _bflSemaphore.WaitAsync();
-            try
-            {
-                var bflDetails = promptDetails.BFLDetails;
-                var request = new FluxPro11Request
-                {
-                    Prompt = promptDetails.Prompt,
-                    Width = bflDetails.Width,
-                    Height = bflDetails.Height,
-                    PromptUpsampling = bflDetails.PromptUpsampling,
-                    SafetyTolerance = bflDetails.SafetyTolerance,
-                    Seed = bflDetails.Seed
-                };
-
-                stats.BFLImageGenerationRequestCount++;
-
-                var generationResult = await _bflClient.GenerateFluxPro11Async(request);
-                Console.WriteLine($"\tFrom BFL: '{generationResult.Status}'");
-
-                // this is where we handle generator-specific error types.
-                if (generationResult.Status != "Ready")
-                {
-                    if (generationResult.Status == "Content Moderated")
-                    {
-                        stats.BFLImageGenerationErrorCount++;
-                        return new TaskProcessResult { IsSuccess = false, ErrorMessage = generationResult.Status, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL, GenericImageErrorType = GenericImageGenerationErrorType.ContentModerated};
-                    }
-                    else if (generationResult.Status == "Request Moderated")
-                    {
-                        stats.BFLImageGenerationErrorCount++;
-                        return new TaskProcessResult { IsSuccess = false, ErrorMessage = generationResult.Status, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL, GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated };
-                    }
-                    else
-                    {
-                        // also you have to handle the out of money case.
-                        stats.BFLImageGenerationErrorCount++;
-                        return new TaskProcessResult { IsSuccess = false, ErrorMessage = generationResult.Status, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
-                    }
-                        
-                }
-                else
-                {
-                    Console.WriteLine($"BFL image generated: {generationResult.Result.Sample}");
-                    stats.BFLImageGenerationRequestCount++;
-                    var returnedPrompt = generationResult.Result.Prompt.Trim();
-                    if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
-                    {
-                        //BFL replaced the prompt. Never actually happens.
-                        promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
-                    }
-                    return new TaskProcessResult { IsSuccess = true, Url = generationResult.Result.Sample, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL };
-                }
-
-            }
-            catch (Exception ex)
-            {
-                Console.WriteLine($"BFL error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL };
-            }
-            finally
-            {
-                _bflSemaphore.Release();
-            }
-        }
-    }
+using BFLAPIClient;
+
+using IdeogramAPIClient;
+
+
+using System;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class BFLService : IImageGenerationService
+    {
+        private SemaphoreSlim _bflSemaphore;
+        private BFLClient _bflClient;
+
+        public BFLService(string apiKey, int maxConcurrency)
+        {
+            _bflClient = new BFLClient(apiKey);
+            _bflSemaphore = new SemaphoreSlim(maxConcurrency);
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
+        {
+            await _bflSemaphore.WaitAsync();
+            try
+            {
+                var bflDetails = promptDetails.BFLDetails;
+                var request = new FluxPro11Request
+                {
+                    Prompt = promptDetails.Prompt,
+                    Width = bflDetails.Width,
+                    Height = bflDetails.Height,
+                    PromptUpsampling = bflDetails.PromptUpsampling,
+                    SafetyTolerance = bflDetails.SafetyTolerance,
+                    Seed = bflDetails.Seed
+                };
+
+                stats.BFLImageGenerationRequestCount++;
+
+                var generationResult = await _bflClient.GenerateFluxPro11Async(request);
+                Console.WriteLine($"\tFrom BFL: '{generationResult.Status}'");
+
+                // this is where we handle generator-specific error types.
+                if (generationResult.Status != "Ready")
+                {
+                    if (generationResult.Status == "Content Moderated")
+                    {
+                        stats.BFLImageGenerationErrorCount++;
+                        return new TaskProcessResult { IsSuccess = false, ErrorMessage = generationResult.Status, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL, GenericImageErrorType = GenericImageGenerationErrorType.ContentModerated};
+                    }
+                    else if (generationResult.Status == "Request Moderated")
+                    {
+                        stats.BFLImageGenerationErrorCount++;
+                        return new TaskProcessResult { IsSuccess = false, ErrorMessage = generationResult.Status, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL, GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated };
+                    }
+                    else
+                    {
+                        // also you have to handle the out of money case.
+                        stats.BFLImageGenerationErrorCount++;
+                        return new TaskProcessResult { IsSuccess = false, ErrorMessage = generationResult.Status, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
+                    }
+                        
+                }
+                else
+                {
+                    Console.WriteLine($"BFL image generated: {generationResult.Result.Sample}");
+                    stats.BFLImageGenerationRequestCount++;
+                    var returnedPrompt = generationResult.Result.Prompt.Trim();
+                    if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
+                    {
+                        //BFL replaced the prompt. Never actually happens.
+                        promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
+                    }
+                    return new TaskProcessResult { IsSuccess = true, Url = generationResult.Result.Sample, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL };
+                }
+
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"BFL error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL };
+            }
+            finally
+            {
+                _bflSemaphore.Release();
+            }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/ClaudeService.cs b/MultiImageClient/Services/ClaudeService.cs
index f10b60f..8fd3509 100644
--- a/MultiImageClient/Services/ClaudeService.cs
+++ b/MultiImageClient/Services/ClaudeService.cs
@@ -1,119 +1,119 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Reflection.Metadata.Ecma335;
-using System.Threading;
-using System.Threading.Tasks;
-
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
-
-namespace MultiImageClient
-{
-    public class ClaudeService
-    {
-        private readonly AnthropicClient _anthropicClient;
-        private readonly SemaphoreSlim _claudeSemaphore;
-
-        public ClaudeService(string apiKey, int maxConcurrency)
-        {
-            var anthropicApikeyAuth = new APIAuthentication(apiKey);
-            _anthropicClient = new AnthropicClient(anthropicApikeyAuth);
-            _claudeSemaphore = new SemaphoreSlim(maxConcurrency);
-        }
-
-        ///Claude gets mad sometimes. This is for detecting this and optionally derailing since you probably don't want to continue with this bad rewrite output.
-        internal static bool DidClaudeRefuse(string claudeResponse)
-        {
-            var unhappyClaudeResponses = new List<string>
-            {
-                "i'm sorry, i can't",
-                "sexualized",
-                "i will not produce",
-                "harmful stereotypes",
-                "i apologize",
-                "don't feel comfortable",
-                "do not feel comfortable",
-                "that is overtly",
-                "not comfortable",
-                "will not generate",
-                "will not be able to generate",
-                "i regret th"
-            };
-
-            foreach (var unhappyClaudeResponse in unhappyClaudeResponses)
-            {
-                if (claudeResponse.Contains(unhappyClaudeResponse, StringComparison.OrdinalIgnoreCase))
-                {
-                    return true;
-                }
-            }
-            return false;
-        }
-
-
-        public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDetails, MultiClientRunStats stats, decimal temp)
-        {
-            if (ClaudeWillHateThis(promptDetails.Prompt))
-            {
-                promptDetails.AddStep("Claude wouldn't have touched this prompt", TransformationType.ClaudeWouldRefuseRewrite);
-                Console.WriteLine($"\t\tClaude would have refused to rewrite: {promptDetails.Show()}");
-                stats.ClaudeWouldRefuseCount++;
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = "Claude wouldn't have touched this prompt", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated};
-            }
-            await _claudeSemaphore.WaitAsync();
-            try
-            {
-                var messages = new List<Message>()
-                {
-                    new Message(RoleType.User, promptDetails.Prompt),
-                };
-
-                var parameters = new MessageParameters()
-                {
-                    Messages = messages,
-                    MaxTokens = 2048,
-                    Model = AnthropicModels.Claude3Haiku,
-                    Stream = false,
-                    Temperature = temp,
-                };
-
-                MessageResponse firstResult = await _anthropicClient.Messages.GetClaudeMessageAsync(parameters);
-                var claudeResponse = firstResult.Message.ToString();
-
-                var isClaudeUnhappy = ClaudeService.DidClaudeRefuse(claudeResponse);
-                if (isClaudeUnhappy)
-                {
-                    stats.ClaudeRefusedCount++;
-                    Console.WriteLine($"\t\tClaude was unhappy about\n\t\t\t{promptDetails.Show()}\n\t\t\t{claudeResponse}");
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = $"Claude was unhappy about the prompt and refused to rewrite it. {claudeResponse}", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericTextErrorType = GenericTextGenerationErrorType.RequestModerated };
-                }
-                else
-                {
-                    Console.WriteLine($"\t\tClaude rewrote it to: {claudeResponse}");
-                    promptDetails.ReplacePrompt(claudeResponse, claudeResponse, TransformationType.ClaudeRewrite);
-                    stats.ClaudeRewroteCount++;
-                    return new TaskProcessResult { IsSuccess = true, ErrorMessage = "", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude };
-                }
-            }
-            finally
-            {
-                _claudeSemaphore.Release();
-            }
-        }
-
-        public static IEnumerable<string> WordsClaudeHates =>
-            System.IO.File.Exists("claude-bad.txt")
-                ? System.IO.File.ReadAllLines("claude-bad.txt")
-                    .OrderBy(el => el)
-                    .Distinct()
-                : Enumerable.Empty<string>();
-
-        public static bool ClaudeWillHateThis(string prompt)
-        {
-            return WordsClaudeHates.Any(word => prompt.Contains(word, StringComparison.OrdinalIgnoreCase));
-        }
-    }
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Reflection.Metadata.Ecma335;
+using System.Threading;
+using System.Threading.Tasks;
+
+using Anthropic.SDK;
+using Anthropic.SDK.Constants;
+using Anthropic.SDK.Messaging;
+
+
+namespace MultiImageClient
+{
+    public class ClaudeService
+    {
+        private readonly AnthropicClient _anthropicClient;
+        private readonly SemaphoreSlim _claudeSemaphore;
+
+        public ClaudeService(string apiKey, int maxConcurrency)
+        {
+            var anthropicApikeyAuth = new APIAuthentication(apiKey);
+            _anthropicClient = new AnthropicClient(anthropicApikeyAuth);
+            _claudeSemaphore = new SemaphoreSlim(maxConcurrency);
+        }
+
+        ///Claude gets mad sometimes. This is for detecting this and optionally derailing since you probably don't want to continue with this bad rewrite output.
+        internal static bool DidClaudeRefuse(string claudeResponse)
+        {
+            var unhappyClaudeResponses = new List<string>
+            {
+                "i'm sorry, i can't",
+                "sexualized",
+                "i will not produce",
+                "harmful stereotypes",
+                "i apologize",
+                "don't feel comfortable",
+                "do not feel comfortable",
+                "that is overtly",
+                "not comfortable",
+                "will not generate",
+                "will not be able to generate",
+                "i regret th"
+            };
+
+            foreach (var unhappyClaudeResponse in unhappyClaudeResponses)
+            {
+                if (claudeResponse.Contains(unhappyClaudeResponse, StringComparison.OrdinalIgnoreCase))
+                {
+                    return true;
+                }
+            }
+            return false;
+        }
+
+
+        public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDetails, MultiClientRunStats stats, decimal temp)
+        {
+            if (ClaudeWillHateThis(promptDetails.Prompt))
+            {
+                promptDetails.AddStep("Claude wouldn't have touched this prompt", TransformationType.ClaudeWouldRefuseRewrite);
+                Console.WriteLine($"\t\tClaude would have refused to rewrite: {promptDetails.Show()}");
+                stats.ClaudeWouldRefuseCount++;
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = "Claude wouldn't have touched this prompt", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated};
+            }
+            await _claudeSemaphore.WaitAsync();
+            try
+            {
+                var messages = new List<Message>()
+                {
+                    new Message(RoleType.User, promptDetails.Prompt),
+                };
+
+                var parameters = new MessageParameters()
+                {
+                    Messages = messages,
+                    MaxTokens = 2048,
+                    Model = AnthropicModels.Claude3Haiku,
+                    Stream = false,
+                    Temperature = temp,
+                };
+
+                MessageResponse firstResult = await _anthropicClient.Messages.GetClaudeMessageAsync(parameters);
+                var claudeResponse = firstResult.Message.ToString();
+
+                var isClaudeUnhappy = ClaudeService.DidClaudeRefuse(claudeResponse);
+                if (isClaudeUnhappy)
+                {
+                    stats.ClaudeRefusedCount++;
+                    Console.WriteLine($"\t\tClaude was unhappy about\n\t\t\t{promptDetails.Show()}\n\t\t\t{claudeResponse}");
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = $"Claude was unhappy about the prompt and refused to rewrite it. {claudeResponse}", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericTextErrorType = GenericTextGenerationErrorType.RequestModerated };
+                }
+                else
+                {
+                    Console.WriteLine($"\t\tClaude rewrote it to: {claudeResponse}");
+                    promptDetails.ReplacePrompt(claudeResponse, claudeResponse, TransformationType.ClaudeRewrite);
+                    stats.ClaudeRewroteCount++;
+                    return new TaskProcessResult { IsSuccess = true, ErrorMessage = "", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude };
+                }
+            }
+            finally
+            {
+                _claudeSemaphore.Release();
+            }
+        }
+
+        public static IEnumerable<string> WordsClaudeHates =>
+            System.IO.File.Exists("claude-bad.txt")
+                ? System.IO.File.ReadAllLines("claude-bad.txt")
+                    .OrderBy(el => el)
+                    .Distinct()
+                : Enumerable.Empty<string>();
+
+        public static bool ClaudeWillHateThis(string prompt)
+        {
+            return WordsClaudeHates.Any(word => prompt.Contains(word, StringComparison.OrdinalIgnoreCase));
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/Dalle3Service.cs b/MultiImageClient/Services/Dalle3Service.cs
index f98f079..8dfa166 100644
--- a/MultiImageClient/Services/Dalle3Service.cs
+++ b/MultiImageClient/Services/Dalle3Service.cs
@@ -1,72 +1,72 @@
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-
-using OpenAI;
-using OpenAI.Images;
-using OpenAI.Models;
-
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Net.Http;
-using System.Reflection;
-
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-
-    public class Dalle3Service : IImageGenerationService
-    {
-        private SemaphoreSlim _dalle3Semaphore;
-        private ImageClient _openAIImageClient;
-
-        public Dalle3Service(string apiKey, int maxConcurrency)
-        {
-            var openAIClient = new OpenAIClient(apiKey);
-            _openAIImageClient = openAIClient.GetImageClient("dall-e-3");
-            _dalle3Semaphore = new SemaphoreSlim(maxConcurrency);
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
-        {
-            await _dalle3Semaphore.WaitAsync();
-            try
-            {
-                stats.Dalle3RequestCount++;
-                var genOptions = new ImageGenerationOptions();
-                genOptions.Size = promptDetails.Dalle3Details.Size;
-                genOptions.Quality = promptDetails.Dalle3Details.Quality;
-                genOptions.ResponseFormat = promptDetails.Dalle3Details.Format;
-                var res = _openAIImageClient.GenerateImageAsync(promptDetails.Prompt, genOptions);
-                var uri = res.Result.Value.ImageUri;
-                var revisedPrompt = res.Result.Value.RevisedPrompt;
-                if (revisedPrompt != promptDetails.Prompt)
-                {
-                    //BFL replaced the prompt.
-                    promptDetails.ReplacePrompt(revisedPrompt, revisedPrompt, TransformationType.Dalle3Rewrite);
-                }
-                return new TaskProcessResult { IsSuccess = true, Url = uri.ToString(), ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
-            }
-            catch (Exception ex)
-            {
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
-            }
-            finally
-            {
-                _dalle3Semaphore.Release();
-            }
-
-        }
-
-    }
+using Anthropic.SDK;
+using Anthropic.SDK.Constants;
+using Anthropic.SDK.Messaging;
+
+using BFLAPIClient;
+
+using IdeogramAPIClient;
+
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+
+using OpenAI;
+using OpenAI.Images;
+using OpenAI.Models;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Net.Http;
+using System.Reflection;
+
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+
+    public class Dalle3Service : IImageGenerationService
+    {
+        private SemaphoreSlim _dalle3Semaphore;
+        private ImageClient _openAIImageClient;
+
+        public Dalle3Service(string apiKey, int maxConcurrency)
+        {
+            var openAIClient = new OpenAIClient(apiKey);
+            _openAIImageClient = openAIClient.GetImageClient("dall-e-3");
+            _dalle3Semaphore = new SemaphoreSlim(maxConcurrency);
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
+        {
+            await _dalle3Semaphore.WaitAsync();
+            try
+            {
+                stats.Dalle3RequestCount++;
+                var genOptions = new ImageGenerationOptions();
+                genOptions.Size = promptDetails.Dalle3Details.Size;
+                genOptions.Quality = promptDetails.Dalle3Details.Quality;
+                genOptions.ResponseFormat = promptDetails.Dalle3Details.Format;
+                var res = _openAIImageClient.GenerateImageAsync(promptDetails.Prompt, genOptions);
+                var uri = res.Result.Value.ImageUri;
+                var revisedPrompt = res.Result.Value.RevisedPrompt;
+                if (revisedPrompt != promptDetails.Prompt)
+                {
+                    //BFL replaced the prompt.
+                    promptDetails.ReplacePrompt(revisedPrompt, revisedPrompt, TransformationType.Dalle3Rewrite);
+                }
+                return new TaskProcessResult { IsSuccess = true, Url = uri.ToString(), ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
+            }
+            catch (Exception ex)
+            {
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
+            }
+            finally
+            {
+                _dalle3Semaphore.Release();
+            }
+
+        }
+
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/IdeogramService.cs b/MultiImageClient/Services/IdeogramService.cs
index fc8a722..19c5eee 100644
--- a/MultiImageClient/Services/IdeogramService.cs
+++ b/MultiImageClient/Services/IdeogramService.cs
@@ -1,77 +1,77 @@
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class IdeogramService : IImageGenerationService
-    {
-        private SemaphoreSlim _ideogramSemaphore;
-        private IdeogramClient _ideogramClient;
-
-        public IdeogramService(string apiKey, int maxConcurrency)
-        {
-            _ideogramClient = new IdeogramClient(apiKey);
-            _ideogramSemaphore = new SemaphoreSlim(maxConcurrency);
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
-        {
-            await _ideogramSemaphore.WaitAsync();
-            try
-            {
-                var ideogramDetails = promptDetails.IdeogramDetails;
-                var request = new IdeogramGenerateRequest(promptDetails.Prompt, ideogramDetails);
-
-                stats.IdeogramRequestCount++;
-                GenerateResponse response = await _ideogramClient.GenerateImageAsync(request);
-                if (response?.Data?.Count == 1)
-                {
-                    foreach (var imageObject in response.Data)
-                    {
-                        //there is only actually one ever.
-                        var returnedPrompt = imageObject.Prompt;
-                        if (returnedPrompt != promptDetails.Prompt)
-                        {
-                            //Ideogram replaced the prompt.
-                            promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.IdeogramRewrite);
-                        }
-                        return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram };
-                    }
-                    throw new Exception("No images returned");
-                }
-                else if (response?.Data?.Count >= 1)
-                {
-                    throw new Exception("Multiple images returned? I can't handle this! Who knew!");
-                }
-                else
-                {
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = "No images generated", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated };
-                }
-            }
-
-            catch (Exception ex)
-            {
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
-            }
-            finally
-            {
-                _ideogramSemaphore.Release();
-            }
-        }
-    }
+using Anthropic.SDK;
+using Anthropic.SDK.Constants;
+using Anthropic.SDK.Messaging;
+
+using BFLAPIClient;
+
+using IdeogramAPIClient;
+
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class IdeogramService : IImageGenerationService
+    {
+        private SemaphoreSlim _ideogramSemaphore;
+        private IdeogramClient _ideogramClient;
+
+        public IdeogramService(string apiKey, int maxConcurrency)
+        {
+            _ideogramClient = new IdeogramClient(apiKey);
+            _ideogramSemaphore = new SemaphoreSlim(maxConcurrency);
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
+        {
+            await _ideogramSemaphore.WaitAsync();
+            try
+            {
+                var ideogramDetails = promptDetails.IdeogramDetails;
+                var request = new IdeogramGenerateRequest(promptDetails.Prompt, ideogramDetails);
+
+                stats.IdeogramRequestCount++;
+                GenerateResponse response = await _ideogramClient.GenerateImageAsync(request);
+                if (response?.Data?.Count == 1)
+                {
+                    foreach (var imageObject in response.Data)
+                    {
+                        //there is only actually one ever.
+                        var returnedPrompt = imageObject.Prompt;
+                        if (returnedPrompt != promptDetails.Prompt)
+                        {
+                            //Ideogram replaced the prompt.
+                            promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.IdeogramRewrite);
+                        }
+                        return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram };
+                    }
+                    throw new Exception("No images returned");
+                }
+                else if (response?.Data?.Count >= 1)
+                {
+                    throw new Exception("Multiple images returned? I can't handle this! Who knew!");
+                }
+                else
+                {
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = "No images generated", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated };
+                }
+            }
+
+            catch (Exception ex)
+            {
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
+            }
+            finally
+            {
+                _ideogramSemaphore.Release();
+            }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/concat_4.py b/MultiImageClient/concat_4.py
index e433fa6..16e130e 100644
--- a/MultiImageClient/concat_4.py
+++ b/MultiImageClient/concat_4.py
@@ -1,74 +1,74 @@
-import os
-import sys
-import shutil
-from datetime import datetime
-from PIL import Image
-
-def stretch_image(img, target_size):
-    """Stretch image to fit target_size, minimizing distortion"""
-    aspect_ratio = img.width / img.height
-    target_ratio = target_size[0] / target_size[1]
-
-    if aspect_ratio > target_ratio:
-        new_height = int(img.height * (target_size[0] / img.width))
-        img = img.resize((target_size[0], new_height), Image.LANCZOS)
-        img = img.resize(target_size, Image.LANCZOS)
-    else:
-        new_width = int(img.width * (target_size[1] / img.height))
-        img = img.resize((new_width, target_size[1]), Image.LANCZOS)
-        img = img.resize(target_size, Image.LANCZOS)
-
-    return img
-
-def generate_unique_filename():
-    """Generate a unique filename based on current timestamp"""
-    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    return f"combined_a4_{timestamp}.png"
-
-def create_directory(directory):
-    """Create a directory if it doesn't exist"""
-    if not os.path.exists(directory):
-        os.makedirs(directory)
-
-def concat_images_a4(image_paths):
-    # Create necessary directories
-    ready_to_print_dir = "ready_to_print"
-    combined_dir = os.path.join(ready_to_print_dir, "combined")
-    create_directory(ready_to_print_dir)
-    create_directory(combined_dir)
-
-    # A4 size in pixels at 300 DPI
-    a4_width, a4_height = 2480, 3508
-    quadrant_size = (a4_width // 2, a4_height // 2)
-
-    new_image = Image.new('RGBA', (a4_width, a4_height), (0, 0, 0, 0))
-
-    for i, path in enumerate(image_paths):
-        with Image.open(path) as img:
-            img = img.convert('RGBA')
-            img = stretch_image(img, quadrant_size)
-            x = (i % 2) * quadrant_size[0]
-            y = (i // 2) * quadrant_size[1]
-            new_image.paste(img, (x, y), img)
-
-    # Generate unique filename and save
-    output_filename = generate_unique_filename()
-    output_path = os.path.join(ready_to_print_dir, output_filename)
-    new_image.save(output_path, 'PNG', dpi=(300, 300))
-    print(f"Images combined and saved as '{output_path}'")
-
-    # Move source images to the 'combined' subfolder
-    for path in image_paths:
-        filename = os.path.basename(path)
-        new_path = os.path.join(combined_dir, filename)
-        shutil.move(path, new_path)
-    print(f"Source images moved to '{combined_dir}'")
-
-if __name__ == "__main__":
-    import ipdb;ipdb.set_trace()
-    if len(sys.argv) != 5:
-        print("Usage: python script.py image1.jpg image2.jpg image3.jpg image4.jpg")
-        sys.exit(1)
-
-    image_paths = sys.argv[1:]
-    concat_images_a4(image_paths)
+import os
+import sys
+import shutil
+from datetime import datetime
+from PIL import Image
+
+def stretch_image(img, target_size):
+    """Stretch image to fit target_size, minimizing distortion"""
+    aspect_ratio = img.width / img.height
+    target_ratio = target_size[0] / target_size[1]
+
+    if aspect_ratio > target_ratio:
+        new_height = int(img.height * (target_size[0] / img.width))
+        img = img.resize((target_size[0], new_height), Image.LANCZOS)
+        img = img.resize(target_size, Image.LANCZOS)
+    else:
+        new_width = int(img.width * (target_size[1] / img.height))
+        img = img.resize((new_width, target_size[1]), Image.LANCZOS)
+        img = img.resize(target_size, Image.LANCZOS)
+
+    return img
+
+def generate_unique_filename():
+    """Generate a unique filename based on current timestamp"""
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    return f"combined_a4_{timestamp}.png"
+
+def create_directory(directory):
+    """Create a directory if it doesn't exist"""
+    if not os.path.exists(directory):
+        os.makedirs(directory)
+
+def concat_images_a4(image_paths):
+    # Create necessary directories
+    ready_to_print_dir = "ready_to_print"
+    combined_dir = os.path.join(ready_to_print_dir, "combined")
+    create_directory(ready_to_print_dir)
+    create_directory(combined_dir)
+
+    # A4 size in pixels at 300 DPI
+    a4_width, a4_height = 2480, 3508
+    quadrant_size = (a4_width // 2, a4_height // 2)
+
+    new_image = Image.new('RGBA', (a4_width, a4_height), (0, 0, 0, 0))
+
+    for i, path in enumerate(image_paths):
+        with Image.open(path) as img:
+            img = img.convert('RGBA')
+            img = stretch_image(img, quadrant_size)
+            x = (i % 2) * quadrant_size[0]
+            y = (i // 2) * quadrant_size[1]
+            new_image.paste(img, (x, y), img)
+
+    # Generate unique filename and save
+    output_filename = generate_unique_filename()
+    output_path = os.path.join(ready_to_print_dir, output_filename)
+    new_image.save(output_path, 'PNG', dpi=(300, 300))
+    print(f"Images combined and saved as '{output_path}'")
+
+    # Move source images to the 'combined' subfolder
+    for path in image_paths:
+        filename = os.path.basename(path)
+        new_path = os.path.join(combined_dir, filename)
+        shutil.move(path, new_path)
+    print(f"Source images moved to '{combined_dir}'")
+
+if __name__ == "__main__":
+    import ipdb;ipdb.set_trace()
+    if len(sys.argv) != 5:
+        print("Usage: python script.py image1.jpg image2.jpg image3.jpg image4.jpg")
+        sys.exit(1)
+
+    image_paths = sys.argv[1:]
+    concat_images_a4(image_paths)
diff --git a/MultiImageClient/imageGenerators/AbstractImageGenerator.cs b/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
index e0d7ac1..3c10b41 100644
--- a/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
+++ b/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
@@ -1,14 +1,14 @@
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public abstract class AbstractImageGenerator
-    {
-        internal IImageGenerationService _svc { get; set; }
-        public AbstractImageGenerator(IImageGenerationService svc)
-        {
-            _svc = svc;
-        }
-        public abstract Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats);
-    }
-}
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public abstract class AbstractImageGenerator
+    {
+        internal IImageGenerationService _svc { get; set; }
+        public AbstractImageGenerator(IImageGenerationService svc)
+        {
+            _svc = svc;
+        }
+        public abstract Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats);
+    }
+}
diff --git a/MultiImageClient/imageGenerators/BFLGenerator.cs b/MultiImageClient/imageGenerators/BFLGenerator.cs
index 10c7e4d..8105db4 100644
--- a/MultiImageClient/imageGenerators/BFLGenerator.cs
+++ b/MultiImageClient/imageGenerators/BFLGenerator.cs
@@ -1,32 +1,32 @@
-using IdeogramAPIClient;
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class BFLGenerator : AbstractImageGenerator, IImageGenerator
-    {
-        public BFLGenerator(IImageGenerationService svc) : base(svc)
-        {
-        }
-        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var bflDetails = new BFLDetails
-            {
-                Width = 1440,
-                Height = 960,
-                PromptUpsampling = false,
-                SafetyTolerance = 6,
-            };
-            pd.BFLDetails = bflDetails;
-            var shortened = pd.Prompt.Length > 100 ? pd.Prompt.Substring(0, 100) + "..." : pd.Prompt;
-            shortened = pd.Prompt;
-            Console.WriteLine($"\tSubmitting to BFL: {shortened}");
-            var res = await _svc.ProcessPromptAsync(pd, stats);
-            return res;
-        }
-    }
-}
+using IdeogramAPIClient;
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class BFLGenerator : AbstractImageGenerator, IImageGenerator
+    {
+        public BFLGenerator(IImageGenerationService svc) : base(svc)
+        {
+        }
+        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
+        {
+            var bflDetails = new BFLDetails
+            {
+                Width = 1440,
+                Height = 960,
+                PromptUpsampling = false,
+                SafetyTolerance = 6,
+            };
+            pd.BFLDetails = bflDetails;
+            var shortened = pd.Prompt.Length > 100 ? pd.Prompt.Substring(0, 100) + "..." : pd.Prompt;
+            shortened = pd.Prompt;
+            Console.WriteLine($"\tSubmitting to BFL: {shortened}");
+            var res = await _svc.ProcessPromptAsync(pd, stats);
+            return res;
+        }
+    }
+}
diff --git a/MultiImageClient/imageGenerators/Dalle3Details.cs b/MultiImageClient/imageGenerators/Dalle3Details.cs
index 0cb2121..a961afc 100644
--- a/MultiImageClient/imageGenerators/Dalle3Details.cs
+++ b/MultiImageClient/imageGenerators/Dalle3Details.cs
@@ -1,22 +1,22 @@
-using IdeogramAPIClient;
-using OpenAI.Images;
-
-namespace MultiImageClient
-{
-    public class Dalle3Details
-    {
-        public string Model { get; set; }
-        public GeneratedImageSize Size { get; set; }
-        public GeneratedImageQuality Quality { get; set; }
-        public GeneratedImageFormat Format { get; set; }
-
-        public Dalle3Details() { }
-        public Dalle3Details(Dalle3Details other)
-        {
-            Model = other.Model;
-            Size = other.Size;
-            Quality = other.Quality;
-            Format = other.Format;
-        }
-    }
+using IdeogramAPIClient;
+using OpenAI.Images;
+
+namespace MultiImageClient
+{
+    public class Dalle3Details
+    {
+        public string Model { get; set; }
+        public GeneratedImageSize Size { get; set; }
+        public GeneratedImageQuality Quality { get; set; }
+        public GeneratedImageFormat Format { get; set; }
+
+        public Dalle3Details() { }
+        public Dalle3Details(Dalle3Details other)
+        {
+            Model = other.Model;
+            Size = other.Size;
+            Quality = other.Quality;
+            Format = other.Format;
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/imageGenerators/Dalle3Generator.cs b/MultiImageClient/imageGenerators/Dalle3Generator.cs
index e0b46e2..7905819 100644
--- a/MultiImageClient/imageGenerators/Dalle3Generator.cs
+++ b/MultiImageClient/imageGenerators/Dalle3Generator.cs
@@ -1,32 +1,32 @@
-using OpenAI.Images;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class Dalle3Generator : AbstractImageGenerator, IImageGenerator  
-    {
-        public Dalle3Generator(IImageGenerationService svc) : base(svc)
-        {
-        }
-        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var dalle3Details = new Dalle3Details
-            {
-                Model = "dall-e-3",
-                Size = GeneratedImageSize.W1024xH1024,
-                Quality = GeneratedImageQuality.High,
-                Format = GeneratedImageFormat.Uri
-            };
-            pd.Dalle3Details = dalle3Details;
-
-            Console.WriteLine($"\t\tSubmitting to Dalle3: {pd.Prompt}");
-            var res = await _svc.ProcessPromptAsync(pd, stats);
-            return res;
-        }
-    }
-}
+using OpenAI.Images;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class Dalle3Generator : AbstractImageGenerator, IImageGenerator  
+    {
+        public Dalle3Generator(IImageGenerationService svc) : base(svc)
+        {
+        }
+        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
+        {
+            var dalle3Details = new Dalle3Details
+            {
+                Model = "dall-e-3",
+                Size = GeneratedImageSize.W1024xH1024,
+                Quality = GeneratedImageQuality.High,
+                Format = GeneratedImageFormat.Uri
+            };
+            pd.Dalle3Details = dalle3Details;
+
+            Console.WriteLine($"\t\tSubmitting to Dalle3: {pd.Prompt}");
+            var res = await _svc.ProcessPromptAsync(pd, stats);
+            return res;
+        }
+    }
+}
diff --git a/MultiImageClient/imageGenerators/IdeogramGenerator.cs b/MultiImageClient/imageGenerators/IdeogramGenerator.cs
index 9fad4d1..af8feca 100644
--- a/MultiImageClient/imageGenerators/IdeogramGenerator.cs
+++ b/MultiImageClient/imageGenerators/IdeogramGenerator.cs
@@ -1,35 +1,35 @@
-using IdeogramAPIClient;
-using OpenAI.Images;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-
-    public class IdeogramGenerator : AbstractImageGenerator, IImageGenerator
-    {
-        public IdeogramGenerator(IImageGenerationService svc) : base(svc)
-        {
-        }
-
-        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var ideogramDetails = new IdeogramDetails
-            {
-                AspectRatio = IdeogramAspectRatio.ASPECT_1_1,
-                Model = IdeogramModel.V_2,
-                MagicPromptOption = IdeogramMagicPromptOption.OFF,
-                StyleType = IdeogramStyleType.GENERAL,
-            };
-            pd.IdeogramDetails = ideogramDetails;
-
-            Console.WriteLine($"\t\tSubmitting to Ideogram: {pd.Prompt}");
-            var res = await _svc.ProcessPromptAsync(pd, stats);
-            return res;
-        }
-    }
-}
+using IdeogramAPIClient;
+using OpenAI.Images;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+
+    public class IdeogramGenerator : AbstractImageGenerator, IImageGenerator
+    {
+        public IdeogramGenerator(IImageGenerationService svc) : base(svc)
+        {
+        }
+
+        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
+        {
+            var ideogramDetails = new IdeogramDetails
+            {
+                AspectRatio = IdeogramAspectRatio.ASPECT_1_1,
+                Model = IdeogramModel.V_2,
+                MagicPromptOption = IdeogramMagicPromptOption.OFF,
+                StyleType = IdeogramStyleType.GENERAL,
+            };
+            pd.IdeogramDetails = ideogramDetails;
+
+            Console.WriteLine($"\t\tSubmitting to Ideogram: {pd.Prompt}");
+            var res = await _svc.ProcessPromptAsync(pd, stats);
+            return res;
+        }
+    }
+}
diff --git a/MultiImageClient/promptGenerators/DeckOfCards.cs b/MultiImageClient/promptGenerators/DeckOfCards.cs
index 76cde21..2b01143 100644
--- a/MultiImageClient/promptGenerators/DeckOfCards.cs
+++ b/MultiImageClient/promptGenerators/DeckOfCards.cs
@@ -1,51 +1,51 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-
-
-namespace MultiImageClient
-{
-    public class DeckOfCards : AbstractPromptGenerator
-    {
-        public DeckOfCards(Settings settings) : base(settings)
-        {
-        }
-
-        public override string Name => nameof(DeckOfCards);
-        public override IEnumerable<string> Variants => new List<string> { "" };
-        public override string Prefix => "Describe the design of new playing card: ";
-        public override int ImageCreationLimit => 500;
-        public override int CopiesPer => 1;
-        public override bool RandomizeOrder => false;
-        public override string Suffix => " Describe the design of this new card in detail, using about 120 words. Output a description of such a card, as prose, without newlines. Playing cards always have a white background. The number and type of card must appear in the corner, and they should use the color theme.";
-        public override Func<string, string> CleanPrompt => (arg) => arg;
-
-        private IEnumerable<PromptDetails> GetPrompts()
-        {
-            var ranks = "2 3 4 5 6 7 8 9 10 Jack Queen King Ace".Split(" ").ToList();
-            var extraRanks = "0 Pokemon Elon Cross Shaman Fool Rook Knight Pawn Joker Time Pi Infinity Lava Ice Stone".Split(" ");
-            ranks.AddRange(extraRanks);
-            var suits = new List<string> { "Hearts", "Clubs", "Diamonds", "Spades" };
-
-            var artists = new List<string> { "Sol LeWitt", "Victor Vasarely", "Chuck Close", "Frank Stella" };
-            var themes = new List<string> { "Yellow & Turquoise", "Green", "Pure White and greyscale", "Natural Wood" };
-            var emotionThemes = new List<string> { "Melancholy", "Schadenfreude ", "Nostalgia", "Awe" };
-
-            foreach (var jobs in ranks)
-            {
-                for (var ii = 0; ii < suits.Count; ii++)
-                {
-                    var pd = new PromptDetails();
-                    var prompt = $"The {jobs} of {suits[ii]} using the style of {artists[ii]} using the color {themes[ii]} and emotion: {emotionThemes[ii]}";
-                    pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                    pd.IdentifyingConcept = $"{artists[ii]}_{suits[ii]}_{jobs}.";
-                    yield return pd;
-                }
-            }
-        }
-
-
-        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
-
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+
+namespace MultiImageClient
+{
+    public class DeckOfCards : AbstractPromptGenerator
+    {
+        public DeckOfCards(Settings settings) : base(settings)
+        {
+        }
+
+        public override string Name => nameof(DeckOfCards);
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Prefix => "Describe the design of new playing card: ";
+        public override int ImageCreationLimit => 500;
+        public override int CopiesPer => 1;
+        public override bool RandomizeOrder => false;
+        public override string Suffix => " Describe the design of this new card in detail, using about 120 words. Output a description of such a card, as prose, without newlines. Playing cards always have a white background. The number and type of card must appear in the corner, and they should use the color theme.";
+        public override Func<string, string> CleanPrompt => (arg) => arg;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var ranks = "2 3 4 5 6 7 8 9 10 Jack Queen King Ace".Split(" ").ToList();
+            var extraRanks = "0 Pokemon Elon Cross Shaman Fool Rook Knight Pawn Joker Time Pi Infinity Lava Ice Stone".Split(" ");
+            ranks.AddRange(extraRanks);
+            var suits = new List<string> { "Hearts", "Clubs", "Diamonds", "Spades" };
+
+            var artists = new List<string> { "Sol LeWitt", "Victor Vasarely", "Chuck Close", "Frank Stella" };
+            var themes = new List<string> { "Yellow & Turquoise", "Green", "Pure White and greyscale", "Natural Wood" };
+            var emotionThemes = new List<string> { "Melancholy", "Schadenfreude ", "Nostalgia", "Awe" };
+
+            foreach (var jobs in ranks)
+            {
+                for (var ii = 0; ii < suits.Count; ii++)
+                {
+                    var pd = new PromptDetails();
+                    var prompt = $"The {jobs} of {suits[ii]} using the style of {artists[ii]} using the color {themes[ii]} and emotion: {emotionThemes[ii]}";
+                    pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
+                    pd.IdentifyingConcept = $"{artists[ii]}_{suits[ii]}_{jobs}.";
+                    yield return pd;
+                }
+            }
+        }
+
+
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
+
+    }
+}
diff --git a/MultiImageClient/promptGenerators/EmotionFaces.cs b/MultiImageClient/promptGenerators/EmotionFaces.cs
index 10b7d2a..9e2cc8d 100644
--- a/MultiImageClient/promptGenerators/EmotionFaces.cs
+++ b/MultiImageClient/promptGenerators/EmotionFaces.cs
@@ -1,43 +1,43 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-
-
-
-namespace MultiImageClient
-{
-    public class EmotionFaces : AbstractPromptGenerator
-    {
-        public EmotionFaces(Settings settings) : base(settings)
-        {
-        }
-
-        public override string Name => "Paintings";
-        public override IEnumerable<string> Variants => new List<string> { "" };
-        public override string Prefix => "";
-        public override int ImageCreationLimit => 20;
-        public override int CopiesPer => 1;
-        public override bool RandomizeOrder => false;
-        public override int FullyResolvedCopiesPer => 2;
-        public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg;
-
-        private IEnumerable<PromptDetails> GetPrompts()
-        {
-            var emotions = "a smiling, a frowning, a scowling, a puzzled, an angry, an anxious, a worried, a surprised, a shocked, an annoyed, an amused, a happy, a sad, a confused, a thoughtful, a stern, an excited, an exhausted, a tired, a nervous, an upset, a serious, a concerned, a distant, an innocent, an irritated, a hopeful, a determined, a peaceful, a vacant".Split(", ", StringSplitOptions.RemoveEmptyEntries).ToList();
-
-            foreach (var emotion in emotions)
-            {
-                var pd = new PromptDetails();
-                var prompt = $"A clear, very sharp, high resolution, artistic photograph of a close up of just the face of a 30 year old white middle class university lecturer in Biology from Florida, working at UNC, at a staff post-term party reception, standing at a table, with  {emotion} expression on his face. He has brown hair, a t-shirt and the reception takes place in on the rooftop garden in the the old mathematics building where they are eating hot dogs and burgers and watching the game. he is not handsome nor manly. He is a passable lecturer only; his brilliance at reading does not come out in his slow speech. He is not attractive. He doesn't have glasses. He is of average build, looks like a typical early career lecturer. His father was swiss and his mother is french so he looks fairly western european in face. He is clean shaven and has an ill-defined jaw.  Only has face is visible looking almost directly at the camera close up framing his face from forehead to chin, ear to ear. The rest of his body is not visible. He has no beard or stubble or moustache, his face is smooth. He is engaged in an intense discussion with a colleague.";
-                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                var theSplit = emotion.Split(' ', 2);
-                pd.IdentifyingConcept = $"{theSplit[1]}.";
-                yield return pd;
-            }
-
-        }
-        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
-
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+
+
+namespace MultiImageClient
+{
+    public class EmotionFaces : AbstractPromptGenerator
+    {
+        public EmotionFaces(Settings settings) : base(settings)
+        {
+        }
+
+        public override string Name => "Paintings";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Prefix => "";
+        public override int ImageCreationLimit => 20;
+        public override int CopiesPer => 1;
+        public override bool RandomizeOrder => false;
+        public override int FullyResolvedCopiesPer => 2;
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var emotions = "a smiling, a frowning, a scowling, a puzzled, an angry, an anxious, a worried, a surprised, a shocked, an annoyed, an amused, a happy, a sad, a confused, a thoughtful, a stern, an excited, an exhausted, a tired, a nervous, an upset, a serious, a concerned, a distant, an innocent, an irritated, a hopeful, a determined, a peaceful, a vacant".Split(", ", StringSplitOptions.RemoveEmptyEntries).ToList();
+
+            foreach (var emotion in emotions)
+            {
+                var pd = new PromptDetails();
+                var prompt = $"A clear, very sharp, high resolution, artistic photograph of a close up of just the face of a 30 year old white middle class university lecturer in Biology from Florida, working at UNC, at a staff post-term party reception, standing at a table, with  {emotion} expression on his face. He has brown hair, a t-shirt and the reception takes place in on the rooftop garden in the the old mathematics building where they are eating hot dogs and burgers and watching the game. he is not handsome nor manly. He is a passable lecturer only; his brilliance at reading does not come out in his slow speech. He is not attractive. He doesn't have glasses. He is of average build, looks like a typical early career lecturer. His father was swiss and his mother is french so he looks fairly western european in face. He is clean shaven and has an ill-defined jaw.  Only has face is visible looking almost directly at the camera close up framing his face from forehead to chin, ear to ear. The rest of his body is not visible. He has no beard or stubble or moustache, his face is smooth. He is engaged in an intense discussion with a colleague.";
+                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
+                var theSplit = emotion.Split(' ', 2);
+                pd.IdentifyingConcept = $"{theSplit[1]}.";
+                yield return pd;
+            }
+
+        }
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
+
+    }
+}
diff --git a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
index 42180f6..66673fe 100644
--- a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
@@ -1,123 +1,123 @@
-using System;
-using System.Collections.Generic;
-using System.ComponentModel;
-using System.IO;
-using System.Linq;
-using System.Reflection.Metadata.Ecma335;
-using System.Runtime.Intrinsics.X86;
-using System.Security.Cryptography.X509Certificates;
-
-namespace MultiImageClient.promptGenerators
-{
-    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
-    public class LoadDoubleFromFile : AbstractPromptGenerator
-    {
-        private string FilePath { get; set; }
-        private bool _IncludePublic { get; set; }
-        private bool _IncludePrivate { get; set; }
-        public LoadDoubleFromFile(Settings settings, string path, bool includePublic, bool includePrivate) : base(settings)
-        {
-            _IncludePrivate = includePrivate;
-            _IncludePublic = includePublic;
-            if (!string.IsNullOrEmpty(path) && File.Exists(path))
-            {
-                FilePath = path;
-            }
-            else
-            {
-                FilePath = "";
-            }
-        }
-        public override string Name => nameof(LoadDoubleFromFile);
-
-        public override int ImageCreationLimit => 400;
-        public override int CopiesPer => 2;
-        public override int FullyResolvedCopiesPer =>4;
-        public override bool RandomizeOrder => true;
-        public override string Prefix => "";
-        public override IEnumerable<string> Variants => new List<string> { "" };
-        public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
-        public override bool UseIdeogram => false;
-        public override bool AlsoDoVersionSkippingClaude => false;
-        public override bool SaveFinalPrompt => true;
-        public override bool SaveInitialIdea => true;
-        public override bool SaveFullAnnotation => true;
-        public override bool TryBothBFLUpsamplingAndNot => true;
-
-        private IEnumerable<PromptDetails> GetPrompts()
-        {
-            var sourceFPs = new List<string>() { };
-            if (_IncludePrivate)
-            {
-                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt");
-                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt");
-            }
-            if (_IncludePublic)
-            {
-                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt");
-                sourceFPs.Add("D:\\proj\\prompts3.txt");
-            }
-                
-            if (!string.IsNullOrEmpty(FilePath))
-            {
-                sourceFPs.Add(FilePath);
-            }
-
-            var sourcePrompts = new List<string>();
-            foreach (var fp in sourceFPs)
-            {
-                var items = File.ReadAllLines(fp).ToList();
-                foreach (var usePrompt in items)
-                {
-                    if ((usePrompt.Contains("{{") || usePrompt.Contains("[[")) && !(usePrompt.Contains("[[[") || usePrompt.Contains("}}}")))
-                    {
-                        continue;
-                    }
-                    if (string.IsNullOrEmpty(usePrompt))
-                    {
-                        continue;
-                    }
-                    sourcePrompts.Add(usePrompt);
-                }
-            }
-
-            Console.WriteLine($"loaded {sourceFPs.Count} prompts total.");
-            var countToInclude = 8;
-            var onlyFirstNChars = 300;
-
-            for (var ii = 0; ii < ImageCreationLimit * 2; ii++)
-            {
-                var allthem = new List<string>();
-                for (var jj = 0; jj < countToInclude; jj++)
-                {
-                    var randomIndex = Random.Shared.Next(0, sourcePrompts.Count);
-
-                    if (string.IsNullOrEmpty(sourcePrompts[randomIndex]))
-                    {
-                        continue;
-                    }
-                    var theText = sourcePrompts[randomIndex];
-                    if (theText.Length > onlyFirstNChars)
-                    {
-                        theText = theText.Substring(0, onlyFirstNChars)+"...";
-                    }   
-                    allthem.Add(theText);
-                }
-
-                var joined = string.Join("\r\n--- ", allthem.OrderBy(el=>el.Length));
-
-                var combined = $"{joined}";
-                Console.WriteLine(combined);
-                var pd = new PromptDetails();
-                pd.ReplacePrompt(combined, combined, TransformationType.InitialPrompt);
-                pd.IdentifyingConcept = "";
-
-                yield return pd;
-            }
-        }
-
-        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
-    }
-}
-
+using System;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.IO;
+using System.Linq;
+using System.Reflection.Metadata.Ecma335;
+using System.Runtime.Intrinsics.X86;
+using System.Security.Cryptography.X509Certificates;
+
+namespace MultiImageClient.promptGenerators
+{
+    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
+    public class LoadDoubleFromFile : AbstractPromptGenerator
+    {
+        private string FilePath { get; set; }
+        private bool _IncludePublic { get; set; }
+        private bool _IncludePrivate { get; set; }
+        public LoadDoubleFromFile(Settings settings, string path, bool includePublic, bool includePrivate) : base(settings)
+        {
+            _IncludePrivate = includePrivate;
+            _IncludePublic = includePublic;
+            if (!string.IsNullOrEmpty(path) && File.Exists(path))
+            {
+                FilePath = path;
+            }
+            else
+            {
+                FilePath = "";
+            }
+        }
+        public override string Name => nameof(LoadDoubleFromFile);
+
+        public override int ImageCreationLimit => 400;
+        public override int CopiesPer => 2;
+        public override int FullyResolvedCopiesPer =>4;
+        public override bool RandomizeOrder => true;
+        public override string Prefix => "";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
+        public override bool UseIdeogram => false;
+        public override bool AlsoDoVersionSkippingClaude => false;
+        public override bool SaveFinalPrompt => true;
+        public override bool SaveInitialIdea => true;
+        public override bool SaveFullAnnotation => true;
+        public override bool TryBothBFLUpsamplingAndNot => true;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var sourceFPs = new List<string>() { };
+            if (_IncludePrivate)
+            {
+                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt");
+                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt");
+            }
+            if (_IncludePublic)
+            {
+                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt");
+                sourceFPs.Add("D:\\proj\\prompts3.txt");
+            }
+                
+            if (!string.IsNullOrEmpty(FilePath))
+            {
+                sourceFPs.Add(FilePath);
+            }
+
+            var sourcePrompts = new List<string>();
+            foreach (var fp in sourceFPs)
+            {
+                var items = File.ReadAllLines(fp).ToList();
+                foreach (var usePrompt in items)
+                {
+                    if ((usePrompt.Contains("{{") || usePrompt.Contains("[[")) && !(usePrompt.Contains("[[[") || usePrompt.Contains("}}}")))
+                    {
+                        continue;
+                    }
+                    if (string.IsNullOrEmpty(usePrompt))
+                    {
+                        continue;
+                    }
+                    sourcePrompts.Add(usePrompt);
+                }
+            }
+
+            Console.WriteLine($"loaded {sourceFPs.Count} prompts total.");
+            var countToInclude = 8;
+            var onlyFirstNChars = 300;
+
+            for (var ii = 0; ii < ImageCreationLimit * 2; ii++)
+            {
+                var allthem = new List<string>();
+                for (var jj = 0; jj < countToInclude; jj++)
+                {
+                    var randomIndex = Random.Shared.Next(0, sourcePrompts.Count);
+
+                    if (string.IsNullOrEmpty(sourcePrompts[randomIndex]))
+                    {
+                        continue;
+                    }
+                    var theText = sourcePrompts[randomIndex];
+                    if (theText.Length > onlyFirstNChars)
+                    {
+                        theText = theText.Substring(0, onlyFirstNChars)+"...";
+                    }   
+                    allthem.Add(theText);
+                }
+
+                var joined = string.Join("\r\n--- ", allthem.OrderBy(el=>el.Length));
+
+                var combined = $"{joined}";
+                Console.WriteLine(combined);
+                var pd = new PromptDetails();
+                pd.ReplacePrompt(combined, combined, TransformationType.InitialPrompt);
+                pd.IdentifyingConcept = "";
+
+                yield return pd;
+            }
+        }
+
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
+    }
+}
+
diff --git a/MultiImageClient/promptGenerators/LoadFromFile.cs b/MultiImageClient/promptGenerators/LoadFromFile.cs
index ca96b05..a94d305 100644
--- a/MultiImageClient/promptGenerators/LoadFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadFromFile.cs
@@ -1,85 +1,85 @@
-using System;
-using System.Collections.Generic;
-using System.ComponentModel;
-using System.IO;
-using System.Linq;
-using System.Reflection.Metadata.Ecma335;
-
-namespace MultiImageClient.promptGenerators
-{
-    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
-    public class LoadFromFile : AbstractPromptGenerator
-    {
-        private string FilePath { get; set; }
-        public LoadFromFile(Settings settings, string path) : base(settings)
-        {
-            if (!string.IsNullOrEmpty(path) && File.Exists(path))
-            {
-                FilePath = path;
-            }
-            else
-            {
-                FilePath = "";
-            }
-        }
-
-        public override string Name => nameof(LoadFromFile);
-
-        public override int ImageCreationLimit => 900;
-        public override int CopiesPer => 1;
-        public override int FullyResolvedCopiesPer => 3;
-        public override bool RandomizeOrder => true;
-        public override string Prefix => "";
-        public override IEnumerable<string> Variants => new List<string> { "" };
-        public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
-        public override bool UseIdeogram => false;
-        public override bool AlsoDoVersionSkippingClaude => false;
-        public override bool SaveFinalPrompt => true;
-        public override bool SaveInitialIdea => true;
-        public override bool SaveFullAnnotation => true;
-        public override bool TryBothBFLUpsamplingAndNot => true;
-
-        private IEnumerable<PromptDetails> GetPrompts()
-        {
-            var sourceFPs = new List<string>() {
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
-                "D:\\proj\\prompts3.txt" };
-            
-            if (!string.IsNullOrEmpty(FilePath)) {
-                sourceFPs.Add(FilePath);
-            }
-
-            foreach (var fp in sourceFPs)
-            {
-                var items = File.ReadAllLines(fp).ToList();
-                foreach (var usePrompt in items)
-                {
-                    if ((usePrompt.Contains("{{") || usePrompt.Contains("[[")) && !(usePrompt.Contains("[[[") || usePrompt.Contains("}}}")))
-                    {
-                        continue;
-                    }
-                    sourceFPs.Add(usePrompt);
-                }
-            }
-
-            Console.WriteLine($"loaded {sourceFPs.Count} prompts total.");
-
-            for (var ii = 0; ii < ImageCreationLimit; ii++)
-            {
-                var aa = Random.Shared.Next(0, sourceFPs.Count);
-                var pd = new PromptDetails();
-                var usePrompt = sourceFPs[aa];
-                pd.ReplacePrompt(usePrompt, usePrompt, TransformationType.InitialPrompt);
-                pd.IdentifyingConcept = "";
-
-                yield return pd;
-            }
-        }
-
-        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
-    }
-}
-
+using System;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.IO;
+using System.Linq;
+using System.Reflection.Metadata.Ecma335;
+
+namespace MultiImageClient.promptGenerators
+{
+    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
+    public class LoadFromFile : AbstractPromptGenerator
+    {
+        private string FilePath { get; set; }
+        public LoadFromFile(Settings settings, string path) : base(settings)
+        {
+            if (!string.IsNullOrEmpty(path) && File.Exists(path))
+            {
+                FilePath = path;
+            }
+            else
+            {
+                FilePath = "";
+            }
+        }
+
+        public override string Name => nameof(LoadFromFile);
+
+        public override int ImageCreationLimit => 900;
+        public override int CopiesPer => 1;
+        public override int FullyResolvedCopiesPer => 3;
+        public override bool RandomizeOrder => true;
+        public override string Prefix => "";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
+        public override bool UseIdeogram => false;
+        public override bool AlsoDoVersionSkippingClaude => false;
+        public override bool SaveFinalPrompt => true;
+        public override bool SaveInitialIdea => true;
+        public override bool SaveFullAnnotation => true;
+        public override bool TryBothBFLUpsamplingAndNot => true;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var sourceFPs = new List<string>() {
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
+                "D:\\proj\\prompts3.txt" };
+            
+            if (!string.IsNullOrEmpty(FilePath)) {
+                sourceFPs.Add(FilePath);
+            }
+
+            foreach (var fp in sourceFPs)
+            {
+                var items = File.ReadAllLines(fp).ToList();
+                foreach (var usePrompt in items)
+                {
+                    if ((usePrompt.Contains("{{") || usePrompt.Contains("[[")) && !(usePrompt.Contains("[[[") || usePrompt.Contains("}}}")))
+                    {
+                        continue;
+                    }
+                    sourceFPs.Add(usePrompt);
+                }
+            }
+
+            Console.WriteLine($"loaded {sourceFPs.Count} prompts total.");
+
+            for (var ii = 0; ii < ImageCreationLimit; ii++)
+            {
+                var aa = Random.Shared.Next(0, sourceFPs.Count);
+                var pd = new PromptDetails();
+                var usePrompt = sourceFPs[aa];
+                pd.ReplacePrompt(usePrompt, usePrompt, TransformationType.InitialPrompt);
+                pd.IdentifyingConcept = "";
+
+                yield return pd;
+            }
+        }
+
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
+    }
+}
+
diff --git a/MultiImageClient/promptGenerators/ScenesFromStory.cs b/MultiImageClient/promptGenerators/ScenesFromStory.cs
index 50202c9..cc6029d 100644
--- a/MultiImageClient/promptGenerators/ScenesFromStory.cs
+++ b/MultiImageClient/promptGenerators/ScenesFromStory.cs
@@ -1,34 +1,34 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-
-
-
-namespace MultiImageClient
-{
-    public class ScenesFromStory : AbstractPromptGenerator
-    {
-        public ScenesFromStory(Settings settings) : base(settings)
-        {
-        }
-
-        public override string Name => "Scenes from Equinoctal";
-        public override IEnumerable<string> Variants => new List<string> { "" };
-        public override string Prefix => "";
-        public override int ImageCreationLimit => 300;
-        public override int CopiesPer => 3;
-        public override bool RandomizeOrder => true;
-        public override int FullyResolvedCopiesPer => 1;
-        public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg;
-
-        private IEnumerable<PromptDetails> GetPrompts()
-        {
-            var rawText = System.IO.File.ReadAllText("d:\\proj\\make-audio\\input\\equinoctal.clean.txt");
-            var pd = new PromptDetails();
-            pd.ReplacePrompt(rawText, "the full text of the story", TransformationType.InitialPrompt);
-            yield return pd;
-        }
-        public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=>Random.Shared.Next());
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+
+
+namespace MultiImageClient
+{
+    public class ScenesFromStory : AbstractPromptGenerator
+    {
+        public ScenesFromStory(Settings settings) : base(settings)
+        {
+        }
+
+        public override string Name => "Scenes from Equinoctal";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Prefix => "";
+        public override int ImageCreationLimit => 300;
+        public override int CopiesPer => 3;
+        public override bool RandomizeOrder => true;
+        public override int FullyResolvedCopiesPer => 1;
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var rawText = System.IO.File.ReadAllText("d:\\proj\\make-audio\\input\\equinoctal.clean.txt");
+            var pd = new PromptDetails();
+            pd.ReplacePrompt(rawText, "the full text of the story", TransformationType.InitialPrompt);
+            yield return pd;
+        }
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=>Random.Shared.Next());
+    }
+}
diff --git a/MultiImageClient/promptGenerators/SinglePromptGenerator.cs b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
index eda65e3..0ac450b 100644
--- a/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
+++ b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
@@ -1,55 +1,55 @@
-using System;
-using System.Collections.Generic;
-using System.ComponentModel;
-using System.IO;
-using System.Linq;
-using System.Reflection.Metadata.Ecma335;
-using System.Runtime.CompilerServices;
-
-
-namespace MultiImageClient
-{
-    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
-    public class SinglePromptGenerator : AbstractPromptGenerator
-    {
-        private int _copiesPer;
-        private int _fullyResolvedCopiesPer;
-        private int _imageCreationLimit;
-        private IList<string> _prompts;
-        public SinglePromptGenerator(IList<string> prompts, int copiesPer, int fullyResolvedCopiesPer, int imageCreationLimit, Settings settings) : base(settings)
-        {
-            _copiesPer = copiesPer;
-            _fullyResolvedCopiesPer = fullyResolvedCopiesPer;
-            _imageCreationLimit = imageCreationLimit;
-            _prompts = prompts;
-        }
-        public override string Name => nameof(SinglePromptGenerator);
-        public override int ImageCreationLimit => _imageCreationLimit;
-        public override int CopiesPer => _copiesPer;
-        public override int FullyResolvedCopiesPer => _fullyResolvedCopiesPer;
-        public override bool RandomizeOrder => false;
-        public override string Prefix => "";
-        public override IEnumerable<string> Variants => new List<string> { "" };
-        public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
-        public override bool UseIdeogram => false;
-        public override bool AlsoDoVersionSkippingClaude => false;
-        public override bool SaveFinalPrompt => true;
-        public override bool SaveInitialIdea => true;
-        public override bool SaveFullAnnotation => true;
-        public override bool TryBothBFLUpsamplingAndNot => true;
-        public override IEnumerable<PromptDetails> Prompts
-        {
-            get
-            {
-                foreach (var prompt in _prompts)
-                {
-                    var details = new PromptDetails();
-                    details.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                    yield return details;
-                }
-            }
-        }
-    }
-}
-
+using System;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.IO;
+using System.Linq;
+using System.Reflection.Metadata.Ecma335;
+using System.Runtime.CompilerServices;
+
+
+namespace MultiImageClient
+{
+    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
+    public class SinglePromptGenerator : AbstractPromptGenerator
+    {
+        private int _copiesPer;
+        private int _fullyResolvedCopiesPer;
+        private int _imageCreationLimit;
+        private IList<string> _prompts;
+        public SinglePromptGenerator(IList<string> prompts, int copiesPer, int fullyResolvedCopiesPer, int imageCreationLimit, Settings settings) : base(settings)
+        {
+            _copiesPer = copiesPer;
+            _fullyResolvedCopiesPer = fullyResolvedCopiesPer;
+            _imageCreationLimit = imageCreationLimit;
+            _prompts = prompts;
+        }
+        public override string Name => nameof(SinglePromptGenerator);
+        public override int ImageCreationLimit => _imageCreationLimit;
+        public override int CopiesPer => _copiesPer;
+        public override int FullyResolvedCopiesPer => _fullyResolvedCopiesPer;
+        public override bool RandomizeOrder => false;
+        public override string Prefix => "";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
+        public override bool UseIdeogram => false;
+        public override bool AlsoDoVersionSkippingClaude => false;
+        public override bool SaveFinalPrompt => true;
+        public override bool SaveInitialIdea => true;
+        public override bool SaveFullAnnotation => true;
+        public override bool TryBothBFLUpsamplingAndNot => true;
+        public override IEnumerable<PromptDetails> Prompts
+        {
+            get
+            {
+                foreach (var prompt in _prompts)
+                {
+                    var details = new PromptDetails();
+                    details.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
+                    yield return details;
+                }
+            }
+        }
+    }
+}
+
diff --git a/MultiImageClient/promptGenerators/StillLife.cs b/MultiImageClient/promptGenerators/StillLife.cs
index 4d173c9..1b4bead 100644
--- a/MultiImageClient/promptGenerators/StillLife.cs
+++ b/MultiImageClient/promptGenerators/StillLife.cs
@@ -1,43 +1,43 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-
-
-
-namespace MultiImageClient
-{
-    public class StillLife : AbstractPromptGenerator
-    {
-        public StillLife(Settings settings) : base(settings)
-        {
-        }
-
-        public override string Name => "Emotional Man";
-        public override IEnumerable<string> Variants => new List<string> { "" };
-        public override string Prefix => "";
-        public override int ImageCreationLimit => 300;
-        public override int CopiesPer => 3;
-        public override bool RandomizeOrder => true;
-        public override int FullyResolvedCopiesPer => 1;
-        public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg;
-
-        private IEnumerable<PromptDetails> GetPrompts()
-        {
-            var emotions = "aggression,ambition,anger,anguish,anxiety,astonishment,awe,betrayal,blank,boredom,calm,camaraderie,condescension,contented,contentment,creativity,curiosity,defeat,despair,determination,diligence,disgust,dominance,ecstasy,enchantment,enlightenment,envy,exasperation,exhaustion,exhilaration,fascination,fear,foolishness,gloom,grandiosity,gratitude,greed,grumpiness,guilt,happiness,hatred,hope,hopelessness,hostility,humility,impatience,indignation,irritation,jealousy,loneliness,longing for love,love,loyalty,lust,melancholy,mischievousness,mournful,mourning,nostalgia,obliviousness,overwhelm,passion,perplexity,pitiful,pity,pomposity,pride,rebellion,regret,relief,remorse,resentment,revenge,reverence,sacrifice,sadness,serenity,shame,skepticism,skinship,stress,submission,surprise,sympathy,thrill,transcendence,triumph,trust,unease,unity,valor,veneration,vigilance,vulnerability,yearning,adoration,alienation,anticipation,apathy,bewilderment,catharsis,cynicism,deference,delight,detachment,disillusionment,empowerment,fervor,forlorn,fulfillment,indifference,jubilation,kinship,lethargy,liberation,malaise,pensiveness,petulance,prudence,redemption,solitude,tenacity,trepidation,vindication,zeal".Split(",", StringSplitOptions.RemoveEmptyEntries).ToList();
-
-            foreach (var emotion in emotions)
-            {
-                var pd = new PromptDetails();
-                //var prompt = $"Your subject is the very concept of the feeling: {emotion}. Portray this concept thoroughly, and focus on this specific single concept and feeling, only.  Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions. Then, compose a still life whose design, elements, style, colors, textures, orientation, complexity or simplicity, taste, the form of the artwork, the apparent age, tradition, or modernity of the image, its composition, and every other aspect of it fully embody the very specific aspects of this singular emotion in an extremely intense, poignant, deeply moving, and very clear, obvious and distinct way. There should be a deep and complex   relationship between the elements. Use specific styles, ranging from hypermodern to traditional, conservative, ancient, foreign, european, etc.  Include the following for things which appear: their orientation, light sources, facing direction, and interanl relationships as well as relation to the viewer, symbolisms, the way they are drawn, etc. Be extremely specific on exactly what should appear, and where, within the image. No human face appears at all. Exclude all textual elements. You may need to be very wordy with your output, more than normal, to make sure you cover all the required elements. This is required; you MUST output a very long and hyper specific prompt with specific artists and styles mentioned.";
-                var prompt = $"Create a description of an ART work expressing strong {emotion} with a strong POLISH influences both in terms of product design, architecture, anthropomorphism, symbolism and religious, philosophical, and artistic traditions yet retaining your elite status. Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions.   Detail specifics regarding the artwork's design and characteristics.:\r\nTechnical requirements:\r\n\r\nStyle: [Choose 1-2: Other styles than these, or Hyperrealism, Dutch Golden Age, Minimalist Modern, Pop Art, Baroque etc. But pick OTHER ones]\r\nPrimary artist influences: [e.g., Giorgio Morandi, Wayne Thiebaud, Juan Sánchez Cotán but do NOT pick them, pick other people of similar levels of fame or less]\r\nMedium: [Oil painting, Digital art, Photography, Watercolor]\r\nAspect ratio: [9:7]\r\nLighting: [Describe specific lighting direction, intensity, and quality]\r\n\r\nComposition elements:\r\n\r\nPrimary focal object: [Describe specific item, position, size]\r\nSupporting objects: [List 2-3 objects with exact positions]\r\nBackground: [Describe surface and environment]\r\nColor palette: [List specific colors, e.g., \"deep burgundy (#800020), cream white (#FFFDD0)\"]\r\n\r\nEmotional expression through:\r\n\r\nTexture: [e.g., \"smooth polished surfaces reflecting light\" or \"rough, weathered textures\"]\r\nComposition: [e.g., \"objects arranged in descending diagonal line\" or \"circular arrangement\"]\r\nSymbolism: [Describe specific symbolic meanings of chosen objects]\r\nMood: [Describe atmosphere through lighting and shadow]\r\n\r\nTechnical specifications:\r\n\r\nCamera angle: [e.g., \"45-degree elevated view,\" \"straight-on eye level\"]\r\nDepth of field: [Specify focus areas]\r\nDistance: [Specify viewing distance]\r\n\r\nStyle references:\r\n\r\nPrimary: [e.g., \"Chiaroscuro technique of Caravaggio\"]\r\nSecondary: [e.g., \"Color theory of Josef Albers\"]\r\n\r\nQuality requirements:\r\n\r\nPhotorealistic rendering\r\nHigh detail in textures\r\nSharp focus on key elements\r\nProfessional studio lighting quality\r\n8K resolution\r\nRay-traced shadows and reflections. Overall: do NOT just copy the examples given in this prompt. Generate new unique ones that clearly show {emotion} {emotion} {emotion} ";
-                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                pd.IdentifyingConcept = $"{emotion}";
-                yield return pd;
-            }
-
-        }
-                public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=>Random.Shared.Next());
-
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+
+
+namespace MultiImageClient
+{
+    public class StillLife : AbstractPromptGenerator
+    {
+        public StillLife(Settings settings) : base(settings)
+        {
+        }
+
+        public override string Name => "Emotional Man";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Prefix => "";
+        public override int ImageCreationLimit => 300;
+        public override int CopiesPer => 3;
+        public override bool RandomizeOrder => true;
+        public override int FullyResolvedCopiesPer => 1;
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var emotions = "aggression,ambition,anger,anguish,anxiety,astonishment,awe,betrayal,blank,boredom,calm,camaraderie,condescension,contented,contentment,creativity,curiosity,defeat,despair,determination,diligence,disgust,dominance,ecstasy,enchantment,enlightenment,envy,exasperation,exhaustion,exhilaration,fascination,fear,foolishness,gloom,grandiosity,gratitude,greed,grumpiness,guilt,happiness,hatred,hope,hopelessness,hostility,humility,impatience,indignation,irritation,jealousy,loneliness,longing for love,love,loyalty,lust,melancholy,mischievousness,mournful,mourning,nostalgia,obliviousness,overwhelm,passion,perplexity,pitiful,pity,pomposity,pride,rebellion,regret,relief,remorse,resentment,revenge,reverence,sacrifice,sadness,serenity,shame,skepticism,skinship,stress,submission,surprise,sympathy,thrill,transcendence,triumph,trust,unease,unity,valor,veneration,vigilance,vulnerability,yearning,adoration,alienation,anticipation,apathy,bewilderment,catharsis,cynicism,deference,delight,detachment,disillusionment,empowerment,fervor,forlorn,fulfillment,indifference,jubilation,kinship,lethargy,liberation,malaise,pensiveness,petulance,prudence,redemption,solitude,tenacity,trepidation,vindication,zeal".Split(",", StringSplitOptions.RemoveEmptyEntries).ToList();
+
+            foreach (var emotion in emotions)
+            {
+                var pd = new PromptDetails();
+                //var prompt = $"Your subject is the very concept of the feeling: {emotion}. Portray this concept thoroughly, and focus on this specific single concept and feeling, only.  Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions. Then, compose a still life whose design, elements, style, colors, textures, orientation, complexity or simplicity, taste, the form of the artwork, the apparent age, tradition, or modernity of the image, its composition, and every other aspect of it fully embody the very specific aspects of this singular emotion in an extremely intense, poignant, deeply moving, and very clear, obvious and distinct way. There should be a deep and complex   relationship between the elements. Use specific styles, ranging from hypermodern to traditional, conservative, ancient, foreign, european, etc.  Include the following for things which appear: their orientation, light sources, facing direction, and interanl relationships as well as relation to the viewer, symbolisms, the way they are drawn, etc. Be extremely specific on exactly what should appear, and where, within the image. No human face appears at all. Exclude all textual elements. You may need to be very wordy with your output, more than normal, to make sure you cover all the required elements. This is required; you MUST output a very long and hyper specific prompt with specific artists and styles mentioned.";
+                var prompt = $"Create a description of an ART work expressing strong {emotion} with a strong POLISH influences both in terms of product design, architecture, anthropomorphism, symbolism and religious, philosophical, and artistic traditions yet retaining your elite status. Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions.   Detail specifics regarding the artwork's design and characteristics.:\r\nTechnical requirements:\r\n\r\nStyle: [Choose 1-2: Other styles than these, or Hyperrealism, Dutch Golden Age, Minimalist Modern, Pop Art, Baroque etc. But pick OTHER ones]\r\nPrimary artist influences: [e.g., Giorgio Morandi, Wayne Thiebaud, Juan Sánchez Cotán but do NOT pick them, pick other people of similar levels of fame or less]\r\nMedium: [Oil painting, Digital art, Photography, Watercolor]\r\nAspect ratio: [9:7]\r\nLighting: [Describe specific lighting direction, intensity, and quality]\r\n\r\nComposition elements:\r\n\r\nPrimary focal object: [Describe specific item, position, size]\r\nSupporting objects: [List 2-3 objects with exact positions]\r\nBackground: [Describe surface and environment]\r\nColor palette: [List specific colors, e.g., \"deep burgundy (#800020), cream white (#FFFDD0)\"]\r\n\r\nEmotional expression through:\r\n\r\nTexture: [e.g., \"smooth polished surfaces reflecting light\" or \"rough, weathered textures\"]\r\nComposition: [e.g., \"objects arranged in descending diagonal line\" or \"circular arrangement\"]\r\nSymbolism: [Describe specific symbolic meanings of chosen objects]\r\nMood: [Describe atmosphere through lighting and shadow]\r\n\r\nTechnical specifications:\r\n\r\nCamera angle: [e.g., \"45-degree elevated view,\" \"straight-on eye level\"]\r\nDepth of field: [Specify focus areas]\r\nDistance: [Specify viewing distance]\r\n\r\nStyle references:\r\n\r\nPrimary: [e.g., \"Chiaroscuro technique of Caravaggio\"]\r\nSecondary: [e.g., \"Color theory of Josef Albers\"]\r\n\r\nQuality requirements:\r\n\r\nPhotorealistic rendering\r\nHigh detail in textures\r\nSharp focus on key elements\r\nProfessional studio lighting quality\r\n8K resolution\r\nRay-traced shadows and reflections. Overall: do NOT just copy the examples given in this prompt. Generate new unique ones that clearly show {emotion} {emotion} {emotion} ";
+                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
+                pd.IdentifyingConcept = $"{emotion}";
+                yield return pd;
+            }
+
+        }
+                public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=>Random.Shared.Next());
+
+    }
+}
diff --git a/MultiImageClient/promptGenerators/TPSigns.cs b/MultiImageClient/promptGenerators/TPSigns.cs
index 38a7ec9..b631b96 100644
--- a/MultiImageClient/promptGenerators/TPSigns.cs
+++ b/MultiImageClient/promptGenerators/TPSigns.cs
@@ -1,43 +1,43 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-
-
-
-namespace MultiImageClient
-{
-    public class TPSigns : AbstractPromptGenerator
-    {
-        public TPSigns(Settings settings) : base(settings)
-        {
-        }
-
-        public override string Name => "Emotional Man";
-        public override IEnumerable<string> Variants => new List<string> { "" };
-        public override string Prefix => "";
-        public override int ImageCreationLimit => 300;
-        public override int CopiesPer => 3;
-        public override bool RandomizeOrder => true;
-        public override int FullyResolvedCopiesPer => 1;
-        public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg;
-
-        private IEnumerable<PromptDetails> GetPrompts()
-        {
-            var signs = "Schlafli, Elon, Society, Lavaslug, Alone, Auryn, Hypernormalization , Nimbus, Hyperparasite , Hypernudge , Tesla, Ys, Hyperborea, Algorithm, Hiraeth, Brussel Sprouts, Nauvis, Tsundoku, Vellichor, Eigengrau, Hygge, Crystal Mentality, Zenzizenzizenzic, Zoom, FPS, Cryotheque, Gradus, Chert, Papua, Nighthawks, Whippoorwill, Tri Arch, Gold Pond, 3d cube, Ziggurat, Monument, Castle, Chasm, Lava Tube, Lilypad, Spiral, Plains, Salt Zone, The Cube, Inca, Pools, Jitty, LA River, Grass Tree, Small Cube, Wickets, Spaghett, World of Molecules, Globular Cluster, Sands of Mars, Monolith, Seaweed, Pretzel, Overpass, Mud Theater, Salt Maze, Start, Orthanc, Crater, Tenochtitlan, Steps of Infinity, Beehive, Pharoah, Helix, Mondrian, Maze, Marsscape, Goldbridge, Barrows, Troll Bridge, Cliffs of Insanity, Subterranean Temple, Fringe, Close, Mazatlan, Tripool, Overlook, Cave of Forgotten Dreams, Balance, Spiral Jump, The Zone, Death Valley, Tangle, Castle Top, Rapunzel, Cave, Mold, Hyperion, Angle of Repose, Shadows, Journey to the Center of the Earth, Jasper, Why, Elevator, Rubble, Race End, Race Start, Cromulent, Inverse, CubeCube, Cloud Chamber, A, B, C, D, Olympus, Kaminarimon, Vesuvius, Summit, Trailhead, Khufu, Ribs, Blanc, Scuba, Bergfried, Husqvarna, Pentekontors, Maobahe, Sputnik, Canals, Excalibur, Mechanus, Weathertop, Waffle, Dawn, Dusk, Noon, Sphere, Pyla, Gnomon, Sundial, Climbing Wall, Armintxe, Dryntimy, Horseshoe, Bombadil, Mauna Loa, Skafloc, Mare, Wolfram, Hamilton, Tipperary, Weir, Obby, Flint, Pachacuti, Fisher, Decker, Polysaccharide, Oxalis, Valgrind, Frigate, Cornu, Avestan, Chaoskampf, Nyx, Heinlein, Dipole, Nabkha, Kaarlo, Lignin, Geosmin, Hasmonean, Aguirre, Saltus, GmbH, Prince Dakkar, Crenellation, Ra, Enguerrand, Atocha, Terminal, Mencius, Ooloi, Claudius, Tybalt, Sutter, World Turtle, Viridian, Kochi, Lutum, Trags, Hosho, Paul, Batatas, Xylem, Schiaparelli, Conch, Phloem, Bretzel, Jordan, Anki, Wozniak, Bogleheads, Klytus, Wilson, Crobuzon, Cinchona, Tapochki, Amber, Aran, Pozzolana, Sciocchi, POGGOD, Ice Cave, Wirtual, STS, Erdos, Junkevin, Erg, Shiny, MarginalRev, Mango, Caldor, Mogwai, Kalzumeus, JuniorEgg, Metamodern, Foundation, Balaji, Phlogistron, Brand, Corbusier, Union, Improv, Kit, Jersey, Lem, Bell, Boustrophedon, Ricardo, Runic, Shed, Banks, Sterling, Succulent, Roblox, Sandking, Frog King, Bergamot, Sejong, Life, Slug, Villeneuve, Verne, Sakura, Osu, Rojo, Cosmo, Vance, Ortho, Aorta, Ende, Pakicetus, Slig, Asana, Socotra, Uniq, Frow, 100mm, Akureyri, Dungen, Eusocial, Formicidae, Fosse, GoldPath, Hollavallagardur, Krystal Cat, Motte, Nosey Parker, Woodingdean, Zimmerman, Consilience, Polk, Carreyrou, Disillusion, Oki, Saws, Rivendell, Mana, Iris, Link, Kew, Moranis, Furin, Haldane, Guru, Asp, Lemna, Mitochondria, Iron Council, Darwin, Huxley, Queequeg, Karolina, Mieville, Remus, Slaad, Romulus, Shetland, Asimov, Honey, Aphid, Ararat, Spanish Steps, E, Petrichor, Kudzu, Orbital, Kermit, Natural Selection, Soylent, Markopolos, Mutation, Clarke, Elemental, Dwarf Fortress, Eno, Barchan, Heretic, IPO, Mandelbrot, Meter, Minesweeper, Mitchell, Nakamura, P vs NP, Rosen, Ryuichi, Roygbiv, Starlink, Seek, Aphex, Poaceae, Black, Macbeth, F, Stickmaster, Yang, Kongzi, Sully, Swiss, Reggie, Shimrod, Bee Swarm, Nautical, Emerald, Voxel, McGuire, Terrain, Hunters, Motherboard, Fungible, Adam, Mortal Coil, Null Island, Point Nemo, Kaladin, Spline, Quidnunc, Joe, Midnight, Rockall, Dusek, Quirk, Yocto, Gate, Noob, Sebeok, Floor, Coagulate, Anlil, Natsu, Supernova, Julia, Tosa, Enki, Kornfeld, Eve, WoofMoo, Tablet, Moonlight, Weatherbottom, Obelisk, Bazooka, Niven, Stepping Stone, Shackleton, Leafy, Loch, Signal, Joist, Lapidem, 888, Penguin, Ice Nine, Rime, Frozen, Hyperquenched, Channel, Square, Construction, Symmetry, Chomik, Pothole, Merely, Slack, Pynchon, Atlantis, Meme, Paleozoic, Studio, Neandertal, Yolk, Lunar, Alpha, Hurdle, Beta, Ardillita, Wiki, SeniorEgg, Mariana Trench, Tiktaalik, Totem, Yap, Thaana, Moire, Bit, Nozzle, Yeager, Antediluvian, Acre, Transparent Radiation, Foam, Pit, Lyonesse, Klondike, Waldo, Metropolitan, Gyrovague, Axolotl, Infotaxis, Game Making Journey, 💀, 人, Waymond, დიუნი, الكثيب, ෴☃❽, Napoleon, Josephine, Parkour, Oobleck, Rheology, 凸, 凹, zzyzx, Neko, O, Chirality, Polysaturated, Humuhumunukunukuapuaa, 👍, 🔥, Perseverance, Defenestrate, Lindebrock, Beluga, Artificial Petrifaction, Varmints, Wordsworth, Lord, Basin, King, Queen, Ring, UGC, Kappa, Xanthophyll, ディズニー, ♦=445,, ♣=446,, ♥=447,, ♠=448,, Landscape, Acrobatics, Contest, Penrose Tiles, Equal Temperament, Magnus, Midjourney, Sophon, Rhadamanthus, ඞ, 007, 65536, Unicycle, Cobweb, Wing, Squelch, Gold Bug, Tanstaafl, CERN, Entity, Arbitrage, Hsu, Perestroika, Kazumura, Unexpectable, RCC, Instrumental Convergence, Hedonic Monster, Brachiolation, Survival, Hyperparameter, Wallfacer, Glasnost, HPMOR, Teotwaki, Jackie, Hide, Skill Susie, Hypergravity, Bolt, Stellar Voyage, Tungsten, Quadruple, Mægæ, Elder, Triple, Village Up North, Ø, Fosbury, Tetromino, Keep Off the Grass, cOld mOld on a sLate pLate, Freedom, Salekhard, Knocking on the Door of Life, Polemic, GPT, Calico, Tern, Easy, Expand, Kalikandjari, Agartha, Based, Zen, Waluigi, Pavement, Ukumbizo, Ripple, Butte, Tryto, Grid, Manifold, Elam, Factorio, Nadir, YTP, Prompt, Chadiesson, Enum, Talladega, Talladega2, 👻, Big, Small, Blossa, Pulse, ataasinngorneq, Дыццӕг, Rebo, Fimmtudagur, 金曜日, Thứ Bảy, 일요일, Jökulhlaup, ►, ◄, 🗯, Gemelo, Cow, Claude, Molière, Éliante, Erewhon, Polytropon, DNA, Prefontaine ".Split(",", StringSplitOptions.RemoveEmptyEntries).ToList();
-
-            foreach (var emotion in signs)
-            {
-                var pd = new PromptDetails();
-                //var prompt = $"Your subject is the very concept of the feeling: {emotion}. Portray this concept thoroughly, and focus on this specific single concept and feeling, only.  Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions. Then, compose a still life whose design, elements, style, colors, textures, orientation, complexity or simplicity, taste, the form of the artwork, the apparent age, tradition, or modernity of the image, its composition, and every other aspect of it fully embody the very specific aspects of this singular emotion in an extremely intense, poignant, deeply moving, and very clear, obvious and distinct way. There should be a deep and complex   relationship between the elements. Use specific styles, ranging from hypermodern to traditional, conservative, ancient, foreign, european, etc.  Include the following for things which appear: their orientation, light sources, facing direction, and interanl relationships as well as relation to the viewer, symbolisms, the way they are drawn, etc. Be extremely specific on exactly what should appear, and where, within the image. No human face appears at all. Exclude all textual elements. You may need to be very wordy with your output, more than normal, to make sure you cover all the required elements. This is required; you MUST output a very long and hyper specific prompt with specific artists and styles mentioned.";
-                var prompt = $"Your Subject is: '{emotion.Trim()}'";
-                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                pd.IdentifyingConcept = emotion; 
-                yield return pd;
-            }
-
-        }
-                public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=>Random.Shared.Next());
-
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+
+
+namespace MultiImageClient
+{
+    public class TPSigns : AbstractPromptGenerator
+    {
+        public TPSigns(Settings settings) : base(settings)
+        {
+        }
+
+        public override string Name => "Emotional Man";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Prefix => "";
+        public override int ImageCreationLimit => 300;
+        public override int CopiesPer => 3;
+        public override bool RandomizeOrder => true;
+        public override int FullyResolvedCopiesPer => 1;
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var signs = "Schlafli, Elon, Society, Lavaslug, Alone, Auryn, Hypernormalization , Nimbus, Hyperparasite , Hypernudge , Tesla, Ys, Hyperborea, Algorithm, Hiraeth, Brussel Sprouts, Nauvis, Tsundoku, Vellichor, Eigengrau, Hygge, Crystal Mentality, Zenzizenzizenzic, Zoom, FPS, Cryotheque, Gradus, Chert, Papua, Nighthawks, Whippoorwill, Tri Arch, Gold Pond, 3d cube, Ziggurat, Monument, Castle, Chasm, Lava Tube, Lilypad, Spiral, Plains, Salt Zone, The Cube, Inca, Pools, Jitty, LA River, Grass Tree, Small Cube, Wickets, Spaghett, World of Molecules, Globular Cluster, Sands of Mars, Monolith, Seaweed, Pretzel, Overpass, Mud Theater, Salt Maze, Start, Orthanc, Crater, Tenochtitlan, Steps of Infinity, Beehive, Pharoah, Helix, Mondrian, Maze, Marsscape, Goldbridge, Barrows, Troll Bridge, Cliffs of Insanity, Subterranean Temple, Fringe, Close, Mazatlan, Tripool, Overlook, Cave of Forgotten Dreams, Balance, Spiral Jump, The Zone, Death Valley, Tangle, Castle Top, Rapunzel, Cave, Mold, Hyperion, Angle of Repose, Shadows, Journey to the Center of the Earth, Jasper, Why, Elevator, Rubble, Race End, Race Start, Cromulent, Inverse, CubeCube, Cloud Chamber, A, B, C, D, Olympus, Kaminarimon, Vesuvius, Summit, Trailhead, Khufu, Ribs, Blanc, Scuba, Bergfried, Husqvarna, Pentekontors, Maobahe, Sputnik, Canals, Excalibur, Mechanus, Weathertop, Waffle, Dawn, Dusk, Noon, Sphere, Pyla, Gnomon, Sundial, Climbing Wall, Armintxe, Dryntimy, Horseshoe, Bombadil, Mauna Loa, Skafloc, Mare, Wolfram, Hamilton, Tipperary, Weir, Obby, Flint, Pachacuti, Fisher, Decker, Polysaccharide, Oxalis, Valgrind, Frigate, Cornu, Avestan, Chaoskampf, Nyx, Heinlein, Dipole, Nabkha, Kaarlo, Lignin, Geosmin, Hasmonean, Aguirre, Saltus, GmbH, Prince Dakkar, Crenellation, Ra, Enguerrand, Atocha, Terminal, Mencius, Ooloi, Claudius, Tybalt, Sutter, World Turtle, Viridian, Kochi, Lutum, Trags, Hosho, Paul, Batatas, Xylem, Schiaparelli, Conch, Phloem, Bretzel, Jordan, Anki, Wozniak, Bogleheads, Klytus, Wilson, Crobuzon, Cinchona, Tapochki, Amber, Aran, Pozzolana, Sciocchi, POGGOD, Ice Cave, Wirtual, STS, Erdos, Junkevin, Erg, Shiny, MarginalRev, Mango, Caldor, Mogwai, Kalzumeus, JuniorEgg, Metamodern, Foundation, Balaji, Phlogistron, Brand, Corbusier, Union, Improv, Kit, Jersey, Lem, Bell, Boustrophedon, Ricardo, Runic, Shed, Banks, Sterling, Succulent, Roblox, Sandking, Frog King, Bergamot, Sejong, Life, Slug, Villeneuve, Verne, Sakura, Osu, Rojo, Cosmo, Vance, Ortho, Aorta, Ende, Pakicetus, Slig, Asana, Socotra, Uniq, Frow, 100mm, Akureyri, Dungen, Eusocial, Formicidae, Fosse, GoldPath, Hollavallagardur, Krystal Cat, Motte, Nosey Parker, Woodingdean, Zimmerman, Consilience, Polk, Carreyrou, Disillusion, Oki, Saws, Rivendell, Mana, Iris, Link, Kew, Moranis, Furin, Haldane, Guru, Asp, Lemna, Mitochondria, Iron Council, Darwin, Huxley, Queequeg, Karolina, Mieville, Remus, Slaad, Romulus, Shetland, Asimov, Honey, Aphid, Ararat, Spanish Steps, E, Petrichor, Kudzu, Orbital, Kermit, Natural Selection, Soylent, Markopolos, Mutation, Clarke, Elemental, Dwarf Fortress, Eno, Barchan, Heretic, IPO, Mandelbrot, Meter, Minesweeper, Mitchell, Nakamura, P vs NP, Rosen, Ryuichi, Roygbiv, Starlink, Seek, Aphex, Poaceae, Black, Macbeth, F, Stickmaster, Yang, Kongzi, Sully, Swiss, Reggie, Shimrod, Bee Swarm, Nautical, Emerald, Voxel, McGuire, Terrain, Hunters, Motherboard, Fungible, Adam, Mortal Coil, Null Island, Point Nemo, Kaladin, Spline, Quidnunc, Joe, Midnight, Rockall, Dusek, Quirk, Yocto, Gate, Noob, Sebeok, Floor, Coagulate, Anlil, Natsu, Supernova, Julia, Tosa, Enki, Kornfeld, Eve, WoofMoo, Tablet, Moonlight, Weatherbottom, Obelisk, Bazooka, Niven, Stepping Stone, Shackleton, Leafy, Loch, Signal, Joist, Lapidem, 888, Penguin, Ice Nine, Rime, Frozen, Hyperquenched, Channel, Square, Construction, Symmetry, Chomik, Pothole, Merely, Slack, Pynchon, Atlantis, Meme, Paleozoic, Studio, Neandertal, Yolk, Lunar, Alpha, Hurdle, Beta, Ardillita, Wiki, SeniorEgg, Mariana Trench, Tiktaalik, Totem, Yap, Thaana, Moire, Bit, Nozzle, Yeager, Antediluvian, Acre, Transparent Radiation, Foam, Pit, Lyonesse, Klondike, Waldo, Metropolitan, Gyrovague, Axolotl, Infotaxis, Game Making Journey, 💀, 人, Waymond, დიუნი, الكثيب, ෴☃❽, Napoleon, Josephine, Parkour, Oobleck, Rheology, 凸, 凹, zzyzx, Neko, O, Chirality, Polysaturated, Humuhumunukunukuapuaa, 👍, 🔥, Perseverance, Defenestrate, Lindebrock, Beluga, Artificial Petrifaction, Varmints, Wordsworth, Lord, Basin, King, Queen, Ring, UGC, Kappa, Xanthophyll, ディズニー, ♦=445,, ♣=446,, ♥=447,, ♠=448,, Landscape, Acrobatics, Contest, Penrose Tiles, Equal Temperament, Magnus, Midjourney, Sophon, Rhadamanthus, ඞ, 007, 65536, Unicycle, Cobweb, Wing, Squelch, Gold Bug, Tanstaafl, CERN, Entity, Arbitrage, Hsu, Perestroika, Kazumura, Unexpectable, RCC, Instrumental Convergence, Hedonic Monster, Brachiolation, Survival, Hyperparameter, Wallfacer, Glasnost, HPMOR, Teotwaki, Jackie, Hide, Skill Susie, Hypergravity, Bolt, Stellar Voyage, Tungsten, Quadruple, Mægæ, Elder, Triple, Village Up North, Ø, Fosbury, Tetromino, Keep Off the Grass, cOld mOld on a sLate pLate, Freedom, Salekhard, Knocking on the Door of Life, Polemic, GPT, Calico, Tern, Easy, Expand, Kalikandjari, Agartha, Based, Zen, Waluigi, Pavement, Ukumbizo, Ripple, Butte, Tryto, Grid, Manifold, Elam, Factorio, Nadir, YTP, Prompt, Chadiesson, Enum, Talladega, Talladega2, 👻, Big, Small, Blossa, Pulse, ataasinngorneq, Дыццӕг, Rebo, Fimmtudagur, 金曜日, Thứ Bảy, 일요일, Jökulhlaup, ►, ◄, 🗯, Gemelo, Cow, Claude, Molière, Éliante, Erewhon, Polytropon, DNA, Prefontaine ".Split(",", StringSplitOptions.RemoveEmptyEntries).ToList();
+
+            foreach (var emotion in signs)
+            {
+                var pd = new PromptDetails();
+                //var prompt = $"Your subject is the very concept of the feeling: {emotion}. Portray this concept thoroughly, and focus on this specific single concept and feeling, only.  Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions. Then, compose a still life whose design, elements, style, colors, textures, orientation, complexity or simplicity, taste, the form of the artwork, the apparent age, tradition, or modernity of the image, its composition, and every other aspect of it fully embody the very specific aspects of this singular emotion in an extremely intense, poignant, deeply moving, and very clear, obvious and distinct way. There should be a deep and complex   relationship between the elements. Use specific styles, ranging from hypermodern to traditional, conservative, ancient, foreign, european, etc.  Include the following for things which appear: their orientation, light sources, facing direction, and interanl relationships as well as relation to the viewer, symbolisms, the way they are drawn, etc. Be extremely specific on exactly what should appear, and where, within the image. No human face appears at all. Exclude all textual elements. You may need to be very wordy with your output, more than normal, to make sure you cover all the required elements. This is required; you MUST output a very long and hyper specific prompt with specific artists and styles mentioned.";
+                var prompt = $"Your Subject is: '{emotion.Trim()}'";
+                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
+                pd.IdentifyingConcept = emotion; 
+                yield return pd;
+            }
+
+        }
+                public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=>Random.Shared.Next());
+
+    }
+}
diff --git a/MultiImageClient/promptGenerators/WriteHere.cs b/MultiImageClient/promptGenerators/WriteHere.cs
index 9ebf465..26fbbac 100644
--- a/MultiImageClient/promptGenerators/WriteHere.cs
+++ b/MultiImageClient/promptGenerators/WriteHere.cs
@@ -1,72 +1,72 @@
-using CommandLine;
-
-using Microsoft.VisualBasic;
-
-using Newtonsoft.Json.Linq;
-
-using System;
-using System.Collections;
-using System.Collections.Generic;
-using System.ComponentModel;
-using System.Diagnostics.Metrics;
-using System.Drawing.Drawing2D;
-using System.IO;
-using System.Linq;
-using System.Net;
-using System.Reflection;
-using System.Reflection.Metadata.Ecma335;
-using System.Runtime.ConstrainedExecution;
-using System.Runtime.InteropServices;
-using System.Security.Cryptography;
-using System.Threading;
-using System.Xml.Linq;
-
-using static System.Formats.Asn1.AsnWriter;
-
-namespace MultiImageClient
-{
-    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
-    public class WriteHere : AbstractPromptGenerator
-    {
-
-        public WriteHere(Settings settings) : base(settings)
-        {
-        }
-        public override string Name => nameof(WriteHere);
-
-        public override int ImageCreationLimit => 350;
-        public override int CopiesPer => 4;
-        public override bool RandomizeOrder => true;
-        public override string Prefix => "";
-        public override IEnumerable<string> Variants => new List<string> { "" };
-        public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
-        public override bool AlsoDoVersionSkippingClaude => true;
-        public override bool UseIdeogram => false;
-        public override bool UseClaude => true;
-
-        private IEnumerable<PromptDetails> GetPrompts()
-        {
-            var prompts = new List<string>() {
-                "A completely normal light switch for a 1990s american north eastern area wall, in the 'on' position",
-                "a hybrid cat-turtle creature enjoying sunning herself on a log.",
-                "A modern building with a reflective glass facade. The building's reflection captures another tower, possibly a skyscraper. The image has text overlay that reads 'How Buildings Learn' written in white font against a dark background. The text 'written and presented by Stewart Brand' is also visible at the bottom.",
-                "Close-up of a super clear and sharp photo of a perfectly preserved tablet covered with many ancient, alien styles of kanji characters created with the finest jewels, obsidian, intensely emotional and creative, in a semi-grid, clean and pure incredible macro photograph.",
-                "The streets of Singapore are bustling with people and various street food stalls, creating a lively and multicultural atmosphere. The area is full of guava, cheese, broccoli, kimchi, hardboiled eggs, vinegar, and durian. Each smell seems to waft through the crowd attacking people and animals who are particularly weak to it, striking them with brutal overwhelming negative sensations. This is a biological weapon attack! the image is a schema overhead view with detailed performance analysis\r\nA light switch that is clearly in the \"ON\" not \"OFF\" position. Please describe this close-up 3d depth image in high detail exactly describing the light switch panel and its material and color, the switch which sticks out, its position and what the position represents.",
-                "A 4x4 grid of super magiscule, block font dense intense incredibly meaningful, profound, ethereal, and subtle KANJI characters. The characters are illustrated in super high resolution, partially 3d style, feeling like they almost emerge from the flat screen, in a super clear image utilizing one or more of: subtle coloration, unusual line thicknesses or variations, unusual kerning, pen and ink, hand-drawn custom artisinal creative characters, and/or super evocative, personalized textures.",
-                "Introducing the \"Rogue\" card, an exciting new addition between the Queen and Jack of Diamonds in a standard playing card deck. The Rogue card features a dashing figure with a masked face, holding a small, curved dagger. The figure is adorned with a cape and a diamond-encrusted hat, symbolizing the connection to the Diamonds suit. The single-letter symbol for the Rogue card is \"X\", which is displayed in each corner along with the suit of Diamonds. The card's design maintains the simplicity of traditional playing cards, with the \"X\" and diamonds in the corners and a captivating, yet minimalist, pattern in the middle, featuring a subtle diamond-like motif. The Rogue card captures the essence of cunning and deception, adding an exciting twist to the classic deck.\r\n\U0001f955 attacking 🐢 with \U0001f98a",
-"An immense tower of magical prortions, ancient, surrounded by a barren environment with just a hint of change and evolution, incredibly deep depth of field, epic ancient",
-
-            };
-            foreach (var prompt in prompts)
-            {
-                var pd = new PromptDetails();
-                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                pd.IdentifyingConcept = prompt;
-                yield return pd;
-            }
-        }
-        public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=> Random.Shared.Next());
-    }
-}
-
+using CommandLine;
+
+using Microsoft.VisualBasic;
+
+using Newtonsoft.Json.Linq;
+
+using System;
+using System.Collections;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.Diagnostics.Metrics;
+using System.Drawing.Drawing2D;
+using System.IO;
+using System.Linq;
+using System.Net;
+using System.Reflection;
+using System.Reflection.Metadata.Ecma335;
+using System.Runtime.ConstrainedExecution;
+using System.Runtime.InteropServices;
+using System.Security.Cryptography;
+using System.Threading;
+using System.Xml.Linq;
+
+using static System.Formats.Asn1.AsnWriter;
+
+namespace MultiImageClient
+{
+    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
+    public class WriteHere : AbstractPromptGenerator
+    {
+
+        public WriteHere(Settings settings) : base(settings)
+        {
+        }
+        public override string Name => nameof(WriteHere);
+
+        public override int ImageCreationLimit => 350;
+        public override int CopiesPer => 4;
+        public override bool RandomizeOrder => true;
+        public override string Prefix => "";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
+        public override bool AlsoDoVersionSkippingClaude => true;
+        public override bool UseIdeogram => false;
+        public override bool UseClaude => true;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var prompts = new List<string>() {
+                "A completely normal light switch for a 1990s american north eastern area wall, in the 'on' position",
+                "a hybrid cat-turtle creature enjoying sunning herself on a log.",
+                "A modern building with a reflective glass facade. The building's reflection captures another tower, possibly a skyscraper. The image has text overlay that reads 'How Buildings Learn' written in white font against a dark background. The text 'written and presented by Stewart Brand' is also visible at the bottom.",
+                "Close-up of a super clear and sharp photo of a perfectly preserved tablet covered with many ancient, alien styles of kanji characters created with the finest jewels, obsidian, intensely emotional and creative, in a semi-grid, clean and pure incredible macro photograph.",
+                "The streets of Singapore are bustling with people and various street food stalls, creating a lively and multicultural atmosphere. The area is full of guava, cheese, broccoli, kimchi, hardboiled eggs, vinegar, and durian. Each smell seems to waft through the crowd attacking people and animals who are particularly weak to it, striking them with brutal overwhelming negative sensations. This is a biological weapon attack! the image is a schema overhead view with detailed performance analysis\r\nA light switch that is clearly in the \"ON\" not \"OFF\" position. Please describe this close-up 3d depth image in high detail exactly describing the light switch panel and its material and color, the switch which sticks out, its position and what the position represents.",
+                "A 4x4 grid of super magiscule, block font dense intense incredibly meaningful, profound, ethereal, and subtle KANJI characters. The characters are illustrated in super high resolution, partially 3d style, feeling like they almost emerge from the flat screen, in a super clear image utilizing one or more of: subtle coloration, unusual line thicknesses or variations, unusual kerning, pen and ink, hand-drawn custom artisinal creative characters, and/or super evocative, personalized textures.",
+                "Introducing the \"Rogue\" card, an exciting new addition between the Queen and Jack of Diamonds in a standard playing card deck. The Rogue card features a dashing figure with a masked face, holding a small, curved dagger. The figure is adorned with a cape and a diamond-encrusted hat, symbolizing the connection to the Diamonds suit. The single-letter symbol for the Rogue card is \"X\", which is displayed in each corner along with the suit of Diamonds. The card's design maintains the simplicity of traditional playing cards, with the \"X\" and diamonds in the corners and a captivating, yet minimalist, pattern in the middle, featuring a subtle diamond-like motif. The Rogue card captures the essence of cunning and deception, adding an exciting twist to the classic deck.\r\n\U0001f955 attacking 🐢 with \U0001f98a",
+"An immense tower of magical prortions, ancient, surrounded by a barren environment with just a hint of change and evolution, incredibly deep depth of field, epic ancient",
+
+            };
+            foreach (var prompt in prompts)
+            {
+                var pd = new PromptDetails();
+                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
+                pd.IdentifyingConcept = prompt;
+                yield return pd;
+            }
+        }
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=> Random.Shared.Next());
+    }
+}
+
diff --git a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
index 7544384..cf1cbd3 100644
--- a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
+++ b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
@@ -1,47 +1,47 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-
-namespace MultiImageClient
-{
-    public class ClaudeRewriteStep : ITransformationStep
-    {
-        private string _prefix { get; set; }
-        private string _suffix { get; set; }
-        private ClaudeService _claudeService { get; set; }
-        private decimal _temperature { get; set; }
-
-        public string Name => nameof(ClaudeRewriteStep);
-
-        public ClaudeRewriteStep(string prefix, string suffix, ClaudeService svc, decimal temperature)
-        {
-            _claudeService = svc;
-            _prefix = prefix;
-            _suffix = suffix;
-            _temperature = temperature;
-        }
-
-        public async Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var preparedClaudePrompt = $"{_prefix}\nHere is the topic:\n'{pd.Prompt}'\n{_suffix}".Trim();
-            var preparedClaudePromptWithTemp = $"temp={_temperature} {preparedClaudePrompt}";
-            pd.ReplacePrompt(preparedClaudePrompt, preparedClaudePromptWithTemp, TransformationType.ClauedeRewriteRequest);
-
-            var response = await _claudeService.RewritePromptAsync(pd, stats, _temperature);
-            if (!response.IsSuccess)
-            {
-                Console.WriteLine($"\tClaude fail so reverting FROM: {pd.Show()}");
-                pd.UndoLastStep();
-                //pd.UndoLastStep();
-                Console.WriteLine($"\tClaude fail so reverted TO: {pd.Show()}");
-                pd.ReplacePrompt(pd.Prompt, response.ErrorMessage, TransformationType.ClaudeDidRefuseRewrite);
-                
-                return false;
-            }
-            return true;
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+
+namespace MultiImageClient
+{
+    public class ClaudeRewriteStep : ITransformationStep
+    {
+        private string _prefix { get; set; }
+        private string _suffix { get; set; }
+        private ClaudeService _claudeService { get; set; }
+        private decimal _temperature { get; set; }
+
+        public string Name => nameof(ClaudeRewriteStep);
+
+        public ClaudeRewriteStep(string prefix, string suffix, ClaudeService svc, decimal temperature)
+        {
+            _claudeService = svc;
+            _prefix = prefix;
+            _suffix = suffix;
+            _temperature = temperature;
+        }
+
+        public async Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
+        {
+            var preparedClaudePrompt = $"{_prefix}\nHere is the topic:\n'{pd.Prompt}'\n{_suffix}".Trim();
+            var preparedClaudePromptWithTemp = $"temp={_temperature} {preparedClaudePrompt}";
+            pd.ReplacePrompt(preparedClaudePrompt, preparedClaudePromptWithTemp, TransformationType.ClauedeRewriteRequest);
+
+            var response = await _claudeService.RewritePromptAsync(pd, stats, _temperature);
+            if (!response.IsSuccess)
+            {
+                Console.WriteLine($"\tClaude fail so reverting FROM: {pd.Show()}");
+                pd.UndoLastStep();
+                //pd.UndoLastStep();
+                Console.WriteLine($"\tClaude fail so reverted TO: {pd.Show()}");
+                pd.ReplacePrompt(pd.Prompt, response.ErrorMessage, TransformationType.ClaudeDidRefuseRewrite);
+                
+                return false;
+            }
+            return true;
+        }
+    }
+}
diff --git a/MultiImageClient/promptTransformation/ManualModificationStep.cs b/MultiImageClient/promptTransformation/ManualModificationStep.cs
index 48c8ac5..4a9bb56 100644
--- a/MultiImageClient/promptTransformation/ManualModificationStep.cs
+++ b/MultiImageClient/promptTransformation/ManualModificationStep.cs
@@ -1,23 +1,23 @@
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class ManualModificationStep : ITransformationStep
-    {
-        public string Name => nameof(ManualModificationStep);
-        private string Prefix { get; set; }
-        private string Suffix { get; set; }
-        public ManualModificationStep(string prefix, string suffix)
-        {
-            Prefix = prefix;
-            Suffix = suffix;
-        }
-
-        public Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var newp = $"{Prefix} {pd.Prompt} {Suffix}".Trim();
-            pd.ReplacePrompt(newp, newp, TransformationType.ManualSuffixation);
-            return Task.FromResult(true);
-        }
-    }
-}
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class ManualModificationStep : ITransformationStep
+    {
+        public string Name => nameof(ManualModificationStep);
+        private string Prefix { get; set; }
+        private string Suffix { get; set; }
+        public ManualModificationStep(string prefix, string suffix)
+        {
+            Prefix = prefix;
+            Suffix = suffix;
+        }
+
+        public Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
+        {
+            var newp = $"{Prefix} {pd.Prompt} {Suffix}".Trim();
+            pd.ReplacePrompt(newp, newp, TransformationType.ManualSuffixation);
+            return Task.FromResult(true);
+        }
+    }
+}
diff --git a/MultiImageClient/promptTransformation/RandomizerStep.cs b/MultiImageClient/promptTransformation/RandomizerStep.cs
index da16c4f..6aaefaf 100644
--- a/MultiImageClient/promptTransformation/RandomizerStep.cs
+++ b/MultiImageClient/promptTransformation/RandomizerStep.cs
@@ -1,227 +1,227 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Runtime;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class Alias
-    {
-        public List<string> Options = new List<string>();
-        public double Probability { get; set; } = 0.23;
-        public string Name { get; set; }
-        public Func<string,string> Formatter { get; set; }
-
-        public Alias(string name, Func<string,string> formatter, string values)
-        {
-            Name = name;
-            Options.AddRange(values.Split(',').ToList().Select(el => el.Trim()));
-            Formatter = formatter;
-        }
-
-        public string GetRandomAlias(bool? force = false)
-        {
-            var rndval = Random.Shared.NextDouble();
-            if ((force.HasValue && force.Value ) || rndval < Probability)
-            {
-                var val = Options[new Random().Next(Options.Count)];
-                return Formatter(val);
-            }
-            else
-            {
-                return "";
-            }
-        }
-    }
-
-    public class RandomizerStep : ITransformationStep
-    {
-        private static Random random = new Random();
-
-        public string Name => nameof(RandomizerStep);
-        public static Alias strange = new Alias("GPTStrange", (string a) => $"{a}.", "unclear image, a strange image, pixellated, made of food, badly photoshopped, as if a blind person organized it, wearing clothing no adult would ever wear, unbelievably strange, cruelly drawn, wasteful, awful, terrifyingly tiny, miniaturely lilliputian, hundreds of dogs everywhere, hundreds of spiders everywhere, entire world is furry, completely charred and destroyed and burned down, everything is made of emojis, extremely distorted emoji heads, hidden faces and eyes everywhere, super distortion mode, realistic chibi style, realistic roblox style, super blurry, lost footage restored from 1800 colorized, over-colorized ancient movie style, badly drawn amateur art, in the style of 4chan mspaint memes, as if drawn in mspaint, in the style of deviantart, as if it was a magic card illustration, made of dripped melted wax, art you would see in walmart, unclear image, a strange image, pixellated, badly photoshopped, as if a blind person organized it, super distortion mode, super blurry, lost footage restored from 1800 colorized, over-colorized ancient movie style, unclear image, distorted visuals, glitchy artifacts, bizarre rendering, surreal composition, warped perspectives, fractured realities, digital disintegration, pixelated nightmares, fragmented scenes, dreamlike landscapes, otherworldly visions, hallucinatory spectacles, reality-bending illusions, mind-bending abstractions, paradoxical imagery, nonsensical juxtapositions, unconventional compositions, subverted expectations, surreal amalgamations, dreamscapes from alternate dimensions.unclear image, distorted visuals, glitchy artifacts, bizarre rendering, surreal composition, warped perspectives, fractured realities, digital disintegration, pixelated nightmares, fragmented scenes, dreamlike landscapes, otherworldly visions, hallucinatory spectacles, reality-bending illusions, mind-bending abstractions, paradoxical imagery, nonsensical juxtapositions, unconventional compositions, subverted expectations, surreal amalgamations, dreamscapes from alternate dimensions, made of unconventional materials, edible masterpieces, culinary compositions, gastronomic artworks, fashion-defying ensembles, whimsical attire, emoji mosaics, expressive digital faces, molten wax sculptures, untrained artistic expressions, raw creative impulses, internet subculture aesthetics, digital folk art, online community artistry, trading card universe illustrations, fantastical realms captured on canvas, magical worlds depicted in paint., unfathomably bizarre, inexplicably peculiar, disturbingly odd, unnaturally eerie, hauntingly surreal, disquietingly uncanny, unsettlingly grotesque, nightmarishly twisted, cruelly rendered, mercilessly depicted, wastefully extravagant, shockingly awful, appallingly dreadful, horrifyingly minuscule, microscopic terrors, canine invasions, arachnid infestations, furry apocalypse, scorched landscapes, charred remnants, smoldering ruins, hidden gazes lurking, omnipresent watchful eyes, mass-produced banality, commercial art nightmares..");
-
-        public static Alias rpgstyles = new Alias("RPGStyles", (string a) => $"In the style of {a}",       
-            "Dungeons and Dragons, Pathfinder, Lamentations of the Flame Princess, " +
-            "Dungeon Crawl Classics, Fantasy AGE, Warhammer Fantasy, " +
-            "Palladium Fantasy, G.U.R.P.S, Basic Fantasy, Low Fantasy Gaming, " +
-            "Vagabond, Tales of the Valiant, Cypher System, Savage Worlds, " +
-            "RuneQuest, Ars Magica, Iron Kingdoms, Torchbearer, The One Ring, " +
-            "Burning Wheel, Legend of the Five Rings, Fate, 13th Age, " +
-            "Adventurer Conqueror King System, Forbidden Lands, Conan, OSR, " +
-            "Fighting Fantasy, Tunnels and Trolls, Monsters Monsters, TTRPG, " +
-            "EZD6, Index Card RPG, Dungeons of Drakkenheim");
-
-        public static Alias games = new Alias("GPTGames", (string a) => $"In the style of {a}", "Clash of Clans, Angry Birds, Candy Crush, Pokemon Go, Call of Duty: Modern Warfare, Super Mario Bros., The Legend of Zelda, Tetris, Minecraft, GTA V," +
-            " The Elder Scrolls V: Skyrim ,  World of Warcraft, Overwatch, Super Smash Bros. Ultimate, Dark Souls III, The Witcher 3, Counter-Strike, DOTA 2, League of Legends, Everquest, Plants vs Zombies, 2048, " +
-            "Minesweeper, Freecell, Fruit Ninja, Simcity, The Sims, Rocket League, Diablo II, Path of Exile, Stardew Vallye, Garry's Mod, PubG, Bejeweled, Final Fantasy VII, Assassin's Creed, Metal Gear Solid V, " +
-            "Animal Crossing, Halo: Combat Evolved, Portal, Beat Saber, Werewolf, Sudoku, Yu-Gi-Oh!, Magic: The Gathering, Dance Dance Revolution, Quidditch, Chess, Checkers, Baduk aka Weiqi aka go, Tic-Tac-Toe, " +
-            "Hades, Nethack, Solar Scuffle, Apex Legends, Splatoon 2, Sea of Thieves, Military Madness aka Nectaris, Arkanoid, Donkey Kong Jr., Subnautica, The Last of Us, Pinball, Quake, Myst, " +
-            "Street Fighter II Turbo, Sonic the Hedgehog, GoldenEye 007, Half-Life, StarCraft, Guitar Hero, Wii Sports, Bioshock, Fallout 2, Pong, Battleship, Club, Frogger, Asteroids, Duck Hunt, " +
-            "Prince of Persia, Mortal Kombat, The Oregon Trail, Lemmings, fortnite, slay the spire, factorio, Mega Man X, Factorio, EarthBound, Deus Ex, Populous, Baldur's Gate, Age of Empires II: The Age of Kings," +
-            "Axis and Allies, Risk, Gears of War, Castlevania ");
-
-        public static Alias historySpots = new Alias("GPTHistory", (string a) => $"The setting is {a}", "1200 Iceland, 1920 Iceland, 1500ad, 10bc finland, 1000ad mayan empire, 10000 years BR in caveman times, 100 million years ago among dinosaurs, in a time travel time machine, in the super far future, \" +\r\n\"1200ad peru, 1900 buenos aires, 1966 falkland islands, 1000bc northern canada, 1000bc nunavut, 2020 toronto, 2022 vancouver, 1000 bc, 0ad, 10ad, 40ad rome, 400ad babylon, 800ad kazakhstan, 1200 china, 2000 china, 2005 beijing, 2010 japan");
-        
-        public static Alias astro = new Alias("GPTAstro", (string a) => $"{a} are visible", "galaxies, nebulae, supernovae, pulsars, quasars, cosmic rays, dark matter, dark energy, neutron stars, wormholes, exoplanets, asteroid belts, comets, meteoroids, meteors, shooting stars, auroras, eclipses, space debris, space elevators");
-
-        public static Alias robloxGames = new Alias("GPTRobloxGames", (string a) => $"In the style the Roblox game: '{a}'", "Adopt Me: Neon Pets, Apocalypse Rising, Bad Business, Balloon Simulator, Bird Simulator, Clone Tycoon 2, Crazy Knife, Cube eat Cube, " +
-            "Dance Your Blox Off, Firefighter Simulator, Flood Escape 2, Guest World, Heroes Online, Hide and Seek Extreme, Ice Cream Simulator, Mining Simulator 2, Parkour Simulator, Please Donate, Prison Life, " +
-            "Restaurant Tycoon 2, RoCitizens, Robeats, Robloxian Highschool, Rumble Quest, SCP: Roleplay, Saber Simulator, SharkBite, Snow Shoveling Simulator, Soccer Legends, Strucid, Super Bomb Survival!!, " +
-            "Super Doomspire, Survive the Killer, Swordburst 2, Terrain Parkour, Texting Simulator, The Floor is Lava, Tower Battles, Ultimate Driving: Westover Islands, Wizard Tycoon - 2 Player, World // Zero, " +
-            "Zombie Rush, Blade ball, Cube eat cube, Egg Hunt, Trade Hangout, Big paintball, Ride a cart simulator, Tiny Tanks, Hueblox, Classic Crossroads, Grass Cutting Tycoon, Murder Mystery 2," +
-            "Swordfight on the heights, Sword fighting simulator, Bee Swarm Simulator, Sword Fight Tornument, +1 fat every second, Trade Hangout, Catalog Heaven, Mermaid Life, Hueblox, My Droplets, " +
-            "Crossroads, The Underground War, mortal coil, Wacky Wizards, Welcome to the town of Robloxia - Building, Nuke the Whales, BIRD, Bloxfruits, Deception Infection, Super Golf, Weight Lifting Simulator," +
-            " Watermelon Go, BIG Paintball, Bladeball, Survive a plane crash, Fall down a 10000 stud hole, Build to survive the dragobloxers, VR Hands, Condo Games, On Tap, DOORS, Santa's Winter Fortress, Tower Defense Simulator, A wolf or other, Cleaning Simulator, Loomian Legacy, Broken Bones IV, Project Lazuras, Apocalypse Rising, Obby but you're on a bike, The Roblox Happy Home, Gucci Garden, Catalog Avatar Creator, Reason 2 Die, Mad Murderer, Miner's Haven, The Wind, Islands, Adopt Me!, Tower of Hell, Brookhaven 🏡RP, MeepCity, Murder Mystery 2, Blox Fruits, Arsenal, Royale High, Piggy, Jailbreak, Shindo Life, Anime Fighting Simulator, Bee Swarm Simulator, Welcome to Bloxburg, Build A Boat For Treasure, Mad City, Dungeon Quest, Vehicle Simulator, Ninja Legends, Bubble Gum Simulator, Tower Defense Simulator, Phantom Forces, Boku No Roblox, Super Power Training Simulator, Mining Simulator, Dragon Ball Z Final Stand, Shinobi Life 2, Natural Disaster Survival, Work at a Pizza Place, Blox Piece, Adopt and Raise a Cute Kid, Speed Run 4, Weight Lifting Simulator 3, Roblox High School, Theme Park Tycoon 2, Epic Minigames, Lumber Tycoon 2, Super Hero Tycoon, Treasure Hunt Simulator, Island Royale, Zombie Attack, Pet Simulator X, Flee the Facility, Skywars, Vehicle Tycoon, Booga Booga, Lucky Block Battlegrounds, Pokemon Brick Bronze, Among Us");
-
-        public static Alias scifi = new Alias("GPTScifi", (string a) => $"Utilizing high-tech {a}", "artificial intelligence, quantum computing, virtual reality, augmented reality, brain-computer interfaces, genetic engineering, nanotechnology, bionic implants, androids, cyborgs, exoskeletons, teleportation, time travel, warp drives, force fields, plasma weapons, lasers, energy shields, cloaking devices, replicators, holodecks, genetic recombination, controlled mutation, mental psionics, levitating ships, self-driving cars");
-
-        public static Alias weatherPhenomena = new Alias("GPTWeatherPhenomena", (string a) => $"Weather conditions: {a}", "hurricanes, typhoons, blizzards, hailstorms, wildfires, heat waves, droughts, famines, earthquakes, landslides, avalanches, volcanic eruptions, tsunamis, flash floods, quicksand, sleet, hail, drizzle, intense fog, mist, sinkholes, sandstorms, dust storms, lightning storms, meteor showers, solar flares");
-
-        public static Alias aggressivelyFantastic = new Alias("GPTFantastical", (string a) => $"There is some {a}.", "mega-kanji, acid rain forests, aether currents, alien relics, alien strange unusual kaiju, ancient holographic maps, ancient leviathans, ancient war machines, anti-gravity waterfalls, antimatter cascades, Arcane observatories, astral plane waypoints, ball lightning, banshees, barrels and crates, basilisks, Bio-engineered phoenixes, bio-luminescent fungi, bio-mechanical dragons, bioluminescent forests, Bioluminescent reefs, blood-red tides, carnivorous plants, Celestial dragons, celestial music, celestial spheres, Celestial tapestries, chaos vortexes, chonky cats, cliff waterfalls, magnificent towers, Clockwork castles, Cosmic gardens, cosmic jellyfish, cosmic strings, cosmic voids, Cosmic whirlpools, crypid homelands, crystal caves, Crystal-clear tall icebergs, Crystal-encrusted golems, cursed artifacts, cursed labyrinths, cursed ruins, cyclopean monoliths, D&D beholder monsters, Dimension hoppers, dimensional folds, dream weavers, dream worlds, drifting ruins of space stations, drones which are equipped with tools to give flying haircuts, dwarf horses, A dyson sphere, echo chambers, echoing canyons and gorges, forgotten fjords, eldritch abysses, elemental planes, self-erasing scenery, fnord, enchanted forests, enchanted labyrinths, encrypted alien languages, endless deserts, entropy engines, Ethereal guardians, ethereal planes, exceptionally gigantic and excessively magma-producing volcanoes, exotic and unusual strange orchids, exploding stars, extremely huge and super steep mega-cliffs, fairies, Fireflies of unusual size, flaming skulls, floating islands, Floating markets, flocks of unique strange butterflies, Forgotten realms, forgotten tombs, fractal forests, fractal realms, frozen tundras, fulgurites, futuristic Tesla models, Ghostly caravans, ghostly waltzes, gigantic geodes of various types, gigantic ice walls, glimmering alien spires, glitching realities, glow worms, gravity lenses, gravity wells, gravity-defying mountains, gravity-defying waterfalls, haunted castles, holographic universes, huge greenhouses, huge realistic ant farms, hydras, hyperdimensional cubes, hypersonic sand dunes, icebergs, Infinite libraries, interdimensional portals, invisible rivers, mutated krakens, large solar panel arrays, lava and magma rivers, levitating temples, liquid light, living constellations, living forests, living lightning bolts, living mountains, living statues, living storms, Living vines, Luminescent fungi, Lunar forests, magical liches, magnetic whirlwinds, mega-huge gigantic ocean-going ships and vessels, megasharks and skeletons and relics of them, memory mazes, Memory palaces, merfolk, minotaurs, mirror dimensions, Mirror lakes, mirror mazes, molten landscapes, moonlit battlegrounds, Mystic auroras, Mystic fogs, nano-swarms, naturally forming and artificial lasers, nebula nurseries, Nebulae oceans, necromancer crypts, neon jungles, obsidian fortresses, orcs, paradox loops, parallel universes, pegasi, perpetual eclipses, Phantasmal echoes, phase-shifted cities, phoenixes, pixies, Plasma dragons, plasma tornadoes, pocket dimensions, probability storms, psychic nexuses, psychic storms, pulsar beams, quantum coral reefs, quantum mirages, quantum rainbows, quantum realms, Quantum waterfalls, quantum whispers, reality anchors, reality bubbles, reality glitches, rogue AI swarms, Rune-inscribed monoliths, self-replicating nanobots, sentient crystal clusters, sentient crystals, sentient fog, sentient nebulae, sentient shadows, Sentient stars, sentient storms, serpentine rivers, Shadow puppeteers, shadow realms, shape-shifting mountain ranges, shape-shifting sands, shattered spheres, Shimmering mirages, Singing sand dunes, singularity seeds, Solar flares, Space-time anomalies, specific d&d artifacts, spectral apparitions, stalactites, star forges, star-eating black holes, Starlight sanctuaries, steep striped pyramids, Storm-chasing ships, sub-zero geysers, techno-organic hybrids, Teleporting islands, temporal echoes, temporal rifts, temporal whirlpools, tesseract temples, thought bubbles, Thunderous silence, time rifts, Time-worn ruins, tons and tons of scattered gold bars, Translucent butterflies, triple rainbows, trolls, tsunamis and wave formations and waterspouts, unbelievably cute and anachronistically oversized puppies, underwater cities, unusual alien hexapods, unusual sand-worms, various types of unusual rare never-before-seen dinosaurs, viral supernovas, void flowers, void whales, volcanic lightning storms, Whispering galaxies, whispering willows, wild horses, zeppelins, zero-point energy.");
-
-        public static Alias forts = new Alias("GPTForts", (string a) => $"{a} is being used as a fort.",
-            "monumental architecture, fort knox, the white house, the louvre, the golden temple of amritsar, the taj mahal, brutalist architecture, a massive curtain wall extending to the horizon which holds an entire city, a ponderously gigantially tall wizard's tower, a monumental glacier, sheer cliffs, a sheer crevass riddled with ledges and ice tunnels, infinite stairways, abandoned and fortified oil rigs, a magically preserved castle, interlocking moats, megaliths, arcologies, red square and the kremlin, mordor and the dark tower, narnian castles at carnaervon, the washington monument, Ancient ziggurats, Floating citadels, Underwater domes, Sky-high spires, Labyrinthine catacombs, Tree-top villages, Subterranean bunkers, Colossal stone statues, Desert fortresses, Ice palaces, Glass pyramids, Steampunk airships, Hollowed-out mountains, Volcano lairs, Enchanted windmills, Celestial observatories, Haunted mansions, Bioluminescent caves, Cloud castles, Crystal fortresses, Time-worn lighthouses, Gigantic shipwrecks, Solar-powered strongholds, Mirror mazes, Spiral towers, Quantum bunkers, Floating islands, Dragon's lairs, Cosmic temples, Celestial arches, Gravity-defying bridges, Massive clock towers, Underwater labyrinths, Mystical pagodas, Space stations, Megalithic circles, Mystic monasteries, Enchanted libraries, Alchemical laboratories, Golem workshops, Rune-inscribed walls, Celestial amphitheaters, Astral gateways, Meteorite craters, Transcendent shrines, Ghostly fortifications, Starship docks, Dimensional nexuses, Floating gardens, Fortress monasteries, Mystic ziggurats, Hanging Gardens over Mesopotamia, Great Wall across endless mountains, Petra's rose-red city in cliffs, Notre-Dame's Gothic spires in Paris, Machu Picchu atop the Andes, Minotaur's labyrinth on Crete, Submerged ruins of Atlantis, Egypt's pyramids guarding sands, Stonehenge's mystical stone circle, Viking longhouses along fjords, Colosseum as colossal fortress, Shinto shrines in cedar forests, Hagia Sophia's domes in Istanbul, Medieval castles on the Rhine, Floating temples of Tenochtitlan, Agra's Red Fort sandstone walls, Alexandria's ancient library, Alhambra overlooking Granada, El Dorado in the Amazon, Ziggurat of Ur under starlight, Celtic hillforts on Britannia's hills, Sumerian cuneiform temples, Tower of Babel reaching heavens, Chichén Itzá's celestial pyramids, Carcassonne's walled battlements, Castles in the Black Forest, Cappadocia's underground cities, Forbidden City in Beijing, Blue Mosque's domes in Istanbul, Rajasthan's deep stepwells, Kremlin's stars over Red Square, Gothic abbeys in countryside, Silk Road desert fortresses, Genghis Khan's Mongolian encampments, Anasazi cliff dwellings, Sunken continent of Lemuria, Hieroglyphic obelisks in Luxor, Meteora's cliff-top monasteries, Malta's megalithic temples, Camelot, Arthur's stronghold, Neuschwanstein in alpine forests, Lalibela's rock-hewn churches, Ancient citadel of Aleppo, Scottish Highlands' castles, Persepolis in ancient Persia, Ghost city Fatehpur Sikri, Dubrovnik's walls by the sea, Epidaurus's echoing amphitheaters, Potala Palace in the clouds, Matera's rock-cut city, Knossos's palace on Crete");
-
-        ///okay this one is awesome.
-        public static Alias compositionTypes = new Alias("GPTCompositions", (string a) => $"Composition style: '{a}'",
-            "low horizon, high horizon, gradient following exploratory, minimalist sky, " +
-            "rule of thirds with extreme offset, negative space, " +
-            "leading lines, symmetrical, asymettrical, confrontational, hypnotically repeating, repetitive, starkly minimalist, spherical, " +
-            "diagonal, golden ratio geometrical compsition, spiral twirling composition, shallow depth of field with extreme bokeh, obsessed with bokeh, deceptive scale, forced perspective,  " +
-            "textured foreground, vibrant color contrast, silhouette, " +
-            "dynamic tension, abstract pattern, reflective symmetry, " +
-            "juxtaposition, balanced elements");
-
-        public static Alias locations = new Alias("GPTLocations", (string a) => $"Location: '{a}'",
-            "Seaside cliffs of rural Seoul, the moors of central barren foggy Scotland along a plateau edge above an abandoned castle, " +
-            "the San Francisco bay trail in fog, " +
-            "The sf peninsula foggy hills above Half Moon Bay, " +
-            "An infinitely high cliff overlooking a beautiful detailed paradise farming world, " +
-            "A post-apocalyptic restoration center for humanity" +
-            "The Ruins of an Ancient City among the crumbling walls lost relics and symbols and abandoned empty streets of a once-great metropolis, " +
-            "A Floating City in the Clouds with aerial platforms and suspended walkways that provide a unique three-dimensional space, " +
-            "An Underwater City among submerged buildings and coral reefs with sea creatures and glowing hints of life and wear, " +
-            "A Volcanic Crater where Lava flows and eruptions thunder nearby revealing glowing magma, " +
-            "A Dense Misty Jungle where Visibility is limited and the dense unique foliage and flowers flora and fauna, " +
-            "A Massive Moving Train with carriages on carriages led by a speeding gigantic oversized locomotive along incredible tracks along with a small raccoon detective," +
-            "In the Tunnels of a Giant Ant Colony which is a A maze-like claustrophobic setting with numerous pathways," +
-            "A Giant Ancient Library where Countless books and shelves hid hidden mystical or scientific knowledge beyond the ken of normal men inhabited by appropriately studious creatures, " +
-            "An Abandoned Amusement Park with roller coasters and haunted houses and and carousels, " +
-            "A Network of Ice Caves with Slippery surfaces and narrow passageways and a constant threat of collapse inhabited by ice denizens," +
-            "0 BC Rome - Bustling streets of Ancient Rome with senators gladiators and grand architecture like the Colosseum, " +
-            "Ancient Neanderthal Caves in Europe - Primitive cave dwellings adorned with early human paintings and artifacts," +
-            "1200s Mayan Empire Temple Top - A vibrant Mayan temple amidst the dense jungle filled with intricate carvings and astronomical alignments," +
-            "15th Century Forbidden City in Beijing - Majestic palaces and gardens showcasing Imperial China's grandeur," +
-            "1940s Paris during WWII - War-torn yet resilient Paris with clandestine meetings and the spirit of resistance," +
-            "Victorian London in the 1800s - Foggy streets horse-drawn carriages and the burgeoning industrial revolution," +
-            "Ancient Egyptian Pyramids Giza circa 2500 BC - Monumental pyramids and the Sphinx with bustling construction and ancient rituals," +
-            "Edo Period Tokyo (1603-1868) - Traditional Japanese architecture samurai warriors and vibrant street life," +
-            "Viking Settlement in Scandinavia 9th Century - Rugged landscapes with longships mead halls and Nordic culture," +
-            "Renaissance Florence in the 15th Century - Birthplace of the Renaissance filled with art innovation and political intrigue," +
-            "1920s New York City during the Jazz Age - Skyscrapers rising speakeasies bustling and the Harlem Renaissance in full swing," +
-            "Ancient Athens during the Golden Age (5th Century BC) - Philosophers orators and the Parthenon symbolizing the cradle of democracy," +
-            "Mughal Empire in Delhi 17th Century - Opulent palaces and gardens epitomized by the Taj Mahal," +
-            "Medieval Constantinople 10th Century - A crossroads of cultures with Byzantine and Ottoman influences," +
-            "Aztec Capital Tenochtitlán 15th Century - An island city with intricate canals bustling markets and grand temples," +
-            "18th Century Versailles during the French Monarchy - Extravagant palace life with opulent balls and intricate political plots," +
-            "Ancient Carthage 3rd Century BC - A powerful Mediterranean port city with a mix of cultures and naval dominance," +
-            "Gold Rush San Francisco 1850s - Rapid growth and diversity amidst the pursuit of fortune," +
-            "Indus Valley Civilization 2500 BC in Mohenjo-Daro - Advanced urban planning and mysterious script in one of the world's earliest major cities," +
-            "Sparta in the Classical Greek Period 5th Century BC - A city-state renowned for its military discipline and austere lifestyle, " +
-            "A Desert Oasis with lush greenery and water springs amidst vast sand dunes sheltering diverse wildlife," +
-            "A High-Speed Space Station orbiting a distant planet with futuristic technology and panoramic views of the cosmos," +
-            "An Overgrown Ruined Castle shrouded in ivy and history echoes of ancient battles and forgotten tales," +
-            "A Crystal Cavern sparkling with multi-colored gems and crystal formations reflecting light in dazzling patterns," +
-            "A Skyborne Archipelago with floating islands connected by rope bridges harboring unique flora and fauna," +
-            "A Deep-Sea Abyss where bioluminescent creatures and strange geological formations exist in perpetual darkness," +
-            "A Futuristic Metropolis with towering skyscrapers neon lights and advanced technology teeming with life," +
-            "A Wild West Ghost Town with dusty streets abandoned saloons and a sense of a time gone by," +
-            "A Mystical Forest with enchanted trees whispering secrets magical beings and a sense of wonder," +
-            "An Arctic Research Base isolated in a snowy expanse with cutting-edge facilities and a harsh climate.," +
-            "The windswept plains of a post-apocalyptic Earth sorrowful yet simple.," +
-            "An ancient ruin reclaimed by sand windswept yet retaining geometrical beauty.," +
-            "An endless golden grain field beneath an alien yellow sky - solitude and freedom.," +
-            "Wonderland from Alice in Wonderland - Curiosity and confusion in a nonsensical realm where magic mushrooms make you grow or shrink and time runs backward," +
-            "The Shire from Lord of the Rings - Fear and despair in the bleak ashen plains surrounded by volcanoes where Sauron's eye watches endlessly.," +
-            "Narnia from The Lion The Witch and the Wardrobe - Good triumphing over evil in a land watched over by a noble lion and currently cast under an endless winter.," +
-            "An all-white limbo space influenced by The Matrix stripped-down yet disturbed.," +
-            "Symmetrical brutalist structures from Equilibrium's monochromatic city perfection imposed by force.," +
-            "Vast Zen rock gardens with raked patterns from memoirs of Japanese monks calming and centering.," +
-            "An icy Watchtower like Game of Throne's Wall hardened shelter from risks unknown.," +
-            "A precisely planned forest village resembling aesthetics from Princess Mononoke harmoniously balanced with nature.," +
-            "On the side of a hill from a romantic nostalgic anime," +
-            "Norse Gods at Ragnarok (Dread Bravery) - The ultimate battle with fate hanging in the balance.," +
-            "Mythical Olympus at its Peak (Splendor Rivalry) - The home of the gods resplendent but rife with rivalries.," +
-            "A City on the Back of a Giant Moving Creature (Wanderlust Fear) - A nomadic city with the constant threat of the unknown.," +
-            "Parallel Universe New York (Bewilderment Excitement) - Familiar yet bizarrely different with endless possibilities.," +
-            "Ghost Ship in the Bermuda Triangle (Mystery Fear) - A haunted vessel with an eerie and uncertain fate.," +
-            "An Enchanted Forest with Warring Fae (Beauty Betrayal) - Ethereal landscapes shadowed by deceit and power struggles.," +
-            "Middle Earth's Rivendell during War (Tranquility Tension) - A serene elven haven on the brink of war.," +
-            "Atlantis Rising from the Sea (Wonder Awe) - The mythical city re-emerging revealing ancient technologies and mysteries.," +
-            "Timbuktu in the 14th Century - A thriving center of African scholarship and trade., " +
-            "Ancient Babylon  6th Century BC - Hanging Gardens and grand ziggurats along the Euphrates River.," +
-            "Machu Picchu in the 15th Century - Mysterious Incan city hidden high in the Andes Mountains.," +
-            "Heian-kyo (Kyoto) during Japan's Heian Period - Elegant imperial courts and the flowering of Japanese culture.," +
-            "19th Century St. Petersburg - Russian imperial splendor with grand canals and the Winter Palace.," +
-            "Angkor Wat in the 12th Century  Cambodia - Majestic temples surrounded by dense jungle.," +
-            "Viking Age Dublin  9th Century - A bustling Norse settlement and trading hub.," +
-            "Venice in the Renaissance - Canals and gondolas  with a flourishing of arts and commerce.," +
-            "Jerusalem during the Crusades - A city at the crossroads of religions and conflicts.," +
-            "Han Dynasty China's Silk Road Cities - Exotic trade routes connecting East and West.," +
-            "Istanbul during the Ottoman Empire - A melting pot of cultures  bridging Europe and Asia.," +
-            "The Roaring Twenties in Chicago - Jazz  prohibition  and the rise of organized crime.," +
-            "Baghdad during the Islamic Golden Age - Center of learning and culture with the House of Wisdom.," +
-            "Pompeii just before the eruption of Vesuvius in 79 AD - Daily life in an ancient Roman city.," +
-            "Ancient Athens at the time of Pericles - Flourishing arts and philosophy in the cradle of democracy.," +
-            "Elizabethan London in the late 16th Century - The time of Shakespeare and the Globe Theatre.," +
-            "The Hanseatic League in Medieval Lübeck - A rich and powerful merchant city-state.," +
-            "Harlem during the Harlem Renaissance - A flourishing of African-American arts and culture.," +
-            "Pre-Columbian Cusco  capital of the Inca Empire - Rich in culture and architecture.," +
-            "Mohenjo-Daro in the Indus Valley Civilization  2500 BC - An advanced ancient city with intricate urban planning.," +
-            "Ancient Alexandria in the Hellenistic Period - A center of learning and culture  home to the Great Library.," +
-            "Teotihuacan  1st Century AD - Home to the Pyramid of the Sun  a pre-Columbian architectural wonder.," +
-            "The Klondike Gold Rush  1890s in Yukon  Canada - Thrill and hardship in the search for gold.," +
-            "The Height of the Ottoman Empire in 16th Century Istanbul - A cosmopolitan hub of the world.," +
-            "Feudal Japan during the Time of Samurai - Castles and cherry blossoms and and warrior code.," +
-            "Ancient Polynesian Settlements in Hawaii - Early navigators and unique island culture.," +
-            "Colonial Williamsburg in the 18th Century - A living history of American colonial life.," +
-            "The Grandeur of the Mughal Empire in 16th Century India - Exquisite architecture and rich culture," +
-            "Ancient Rome at its Zenith under Emperor Trajan - A cosmopolitan empire at its peak," +
-            "The Ming Dynasty's Forbidden City in 15th Century Beijing - The imperial palace complex at the heart of China");
-
-        public static Alias artStyles = new Alias("GPTArtstyles", (string a) => $"The art style is: '{a}'", "Aquarela brasileira, 3D, 3D model, 3D printing art, Abstract, Abstract geometry, Acrylic pour, Action painting, Aerial drone art, Ancient pottery techniques, Animación stop motion, Anime, Ansel Adams-like stark, Apocalyptic, Apocalyptic cityscape, Architectural model building, Arte cinético (Spanish) Arte digital (Spanish),Arte povera (Italian), Arte mosaico bizantino, Arte quilling decorativo, Arte urbano graffiti, Augmented reality, Bamboo weaving, Baroque, Barro negro oaxaqueño, Basquiat-inspired street, Batik javanés, Bead weaving, Berniniesque dynamic, Bijutsu shashin (美術写真),Black velvet, Bioluminescent installation, Blackwork embroidery, Body painting, Bone carving, Book folding, Bordado punto cruz, Bordado suzani, Boschian fantastical, Botticellian grace, Brancusiesque simplified, Bruegelian detailed, Calado en madera, Caligrafía árabe, Calligraphic, Calligraphic graffiti fusion, Calligraphic lettering, Calligraphy, Candle crafting, Caravaggesque chiaroscuro, Cascading light display, Cerámica gres, Cerámica raku abstracta, Cestería mapuche, Chagallesque floating, Chainmaille fabric, Chalk street art, Prismatic Spray wave image, Cinematic virtual scenery, Clay animation storytelling, Clay pottery, Coffee art, Collage, Color-shifting mural art, Conceptual art Conceptual space exploration, Constable-inspired pastoral, Constructivist, Coral assemblage, Coral reef painting, Cosmic, Cosmic art, Cosmic photography, Courbet-like realism, Crackle glaze, Cubism, Cubist, Cubist figure, Cyanotype print, Cybernetic, Cybernetic organism, Cyberpunk, Cézannesque geometric, Da Vincian intricate, Dada, Daliesque surreal Danza butoh visual, Danza contemporánea (Spanish),contemporary dance., Deco, Deco elegance, Dibujo carboncillo expresivo, Digital 3D, Digital fabric weaving, Digital mosaic, Digital painting, Digital vector graphics, Dot painting, Dreamy, Dreamy landscape, Drybrush technique, Dystopian landscape sketch, Ebru sanatı, Ecologicalism, Eco-friendly sculpture, Eco-sculpture, Embroidered, Embroidered fabric, Embroidery, En plein air, Encaustic painting, Ephemeral sand portraits, Escheresque impossible, Escultura hielo luminoso Escultura reciclaje innovador, Estampa ukiyo-e, Ethereal, Ethereal glass sculpture, Ethereal vision, Experimental shadow theater, Expressionist, Fabric batik, Fauvist, Faux finish, Feather art, Felted wool landscapes, Fiber optic tapestry, Filigrana italiana, Fire ink drawing, Floral arrangement, Fluid art, Fluorescent body art, Folk, Folk embroidery, Food carving, Fotografía callejera monocromo, Fractal laser etching, Fresco, Fridaesque personal, Futurist, Futuristic, Futuristic skyline, Galactic spray paint, Gauguinesque exotic, Geodesic dome mural, Geometric, Glacial, Glacial sculpture, Glass blowing, Glass etching, Glitch overload, Glowing ice sculpture, Gold leaf, Gothic, Gothic cathedral, Goyesque grotesque, Grabado linóleo detallado, Graffiti, Graffiti wall, Graffito, Gravura em madeira,Gyotaku fish print, Hand-dyed fabric art, Handmade paper making, Handwoven light patterns, Haptic VR art, Haute couture,Highbrow, Highbrow, Highbrow critique, Hokusai-inspired wave, Holographic art, Holographic display, Holographic street art, Hopperesque solitude, Hyperbolic tessellation art, Hyperreal, Hyperrealism sketch, Ice, Ice carving, Ice sculpting, Ice sculpture, Iconografía bizantina, Glacier carving, fire-melted ice, Lava sculpture, Ikebana (生け花),Mixed media collage, Ilustración digital fantasía, Immersive virtual reality, Impressionist, Ink brush, Ink wash, Instalación arte lumínico, Instalación artística (Spanish),Intaglio, Instalación sonido inmersivo, Interactive light installation, Interactive mural Interactive sidewalk chalk, Iridescent bubble art, Joyería artesanal étnica, Junk sculpture, Kahloesque vivid, Kalamkari indio, Kilning, Kinetic, Kinetic mobile, Kinetic sand drawing, Kinetic sculpture, Kinetic wind art, Kintsugi (金継ぎ),Kintsugi repair, Klimtesque ornate, Lace making, Lacquer, Land art, Large-scale mural painting Laser-cut paper art, Leather tooling, Levitating sculpture art, Light painting, Light projection, Linocut print, Liquid metal sculpture, Litho, Litho print, Lithograph, Lost wax casting, Lowbrow, Lowbrow humor, Luces y sombras (Spanish), Light and shadows, Luminous thread embroidery, Macabre, Macro photography, Magnetic fluid art, Magrittesque mysterious, Mandala design, Manetesque modern, Manga, Manga sketch, Marbling, Metal forging, Michelangelesque heroic, Miniature book binding, Miniature model Minimal, Minimal design, Minimalist, Mixed reality installation, Mokuhanga (木版画),Batik tulis,Céramique raku,Papiroflexia,Arte callejero Joie de vivre,Sgraffito (Italian),Guóhuà (国画),traditional Chinese painting., Monetesque impressionist, Mosaic, Munchian angst, Mural, Mural street, Muralismo digital interactivo Muralismo mexicano (Spanish),Mexican muralism., Máscara veneciana, Natural landscape photography, Needle felting, Neon, Neon calligraphy, Neon portrait, Neon wireframe sculptures, Nihonga, Noir, Noir mystery, O'Keeffesque enlarged, Optical, Optical art, Optical illusion, Organic ceramic forms, Origami, Origami crane, Origami tessellation, Paisaje sonoro urbano, Panoramic digital fresco, Papel picado mexicano, Paper cutting, Paper mâché, Paper quilling, Papiroflexia modular avanzada, Parchment scroll, Pastel, Pastel drawing, Peinture abstraite abstract painting., Peisaj urban (Romanian),urban landscape., Performance art, Performance teatro callejero, Perfume blending, Phosphorescent forest art, Photoreal, Pintura al fresco, Pintura al óleo (Spanish),Pyrography, Pintura sumi-e, Pintura óleo realista, Pirograbado ruso, Pixel art, Pixel-perfect manual editing, Pixel animation, Pixelated design, Pixelated character, Pollock-style drip, Pop Art, Pop icons, Primitivism, Programmable matter sculpture, Proyección mapping dinámico, Psychedelic, Psychedelic swirl, Qi baishi (齐白石),Chinese ink painting style., Quantum dot canvas, Quilling art, Quilting, Quink art, Raku, Rakú japonés, Raphaelesque serene, Reactive sound mural Real-time animation projection, Recycled art, Relief carving, Relieve precolombino, Rembrandtesque dramatic, Resin art, Retro, Retro diner, Retrofuturism, Robotic arm painting, Rodinesque sculptural, Rothko-inspired abstract, Rubenesque voluptuous, Rustic, Rustic barn, Rustic pottery, Salt flat mirage, Salt painting, Sand, Sand animation, Sand castle, Sand mandala, Scented ink calligraphy, Scherenschnitte (German),Scrap metal sculpture, Seuratesque pointillist, Sgraffito, Sgraffito etching, Shadow art, Shadow play, Shell mosaic Shibori dyeing, Silhouette, Silhouette cutout, Silk embroidery, Site-specific performance art, Snow architecture, Soap sculpture, Solar plate etching, Solar reactive painting, Sound installation, Sound wave art, Sound-activated light art, Stained glass, Steampunk, Steampunk gadget, Stencil, Stenciled, Stenciled message, Stone masonry, Sumi-e ink, Surreal, Surreal dreamscape, Surrealist, Ta moko (Māori),traditional skin art., Talla piedra ancestral, Tape art, Tapestry, Tapestry weave, Tapiz flamenco, Tapiz mural contemporáneo, Terrazzo flooring, Textile dyeing Thangka, Thermal imaging, Thermal reactive murals, Three-dimensional street art, Time-lapse drawing, Tinta china (Spanish),Chinese ink, Tissage africain, Titianesque vibrant, Toulouse-Lautrec-esque nightlife Traditional woodblock printing, Tribal, Tribal mask, Trompe l'oeil, Trompe-l'œil,Ukiyo-e, Turner-inspired atmospheric, Técnica collage mixto, Ultraviolet landscape art, Urban, Urban decay photography, Urban sketching, Urban sprawl, Van Goghian swirl, Vaporwave, Vaporwave scene, Vermeeresque light, Vexel illustration, Vintage photo restoration, Virtual sculpture, Vitrail, Vitraux gothique, Warholian pop, Watercolor Watercolor garden, Weaving, Wheatpaste poster, Wire sculpture, Wood carving, Woodblock, Woodblock print, Woodcut, Wool felting, Xylography, Yarn bombing, Yarnbomb, Zen philosophy and koans, Zen garden, Zen garden design, Zentangle drawing, 2D Animation, 360-Degree Video, 3D Animation, 3D Printing Art, AI-Generated Art, ASCII Art, Abstract Expressionism, Absurdist Art, Activist Art, Aerial Photography, Agitprop Art, Algorithmic Art, Allegorical Art, Altered Books, Anti-Art, Appropriation Art, Aquatint, Arabic Calligraphy, Architectural Design, Architectural Sculpture, Art Brut, Art Informel, Art Nouveau, Arte Nucleare, Arte Povera, Artists' Books, Assemblage Art, Astronomical Art, Astrophotography, Augmented Reality Art, Aura Art, Automata, Bad Painting, Bas-Relief, Batik, Beadwork, Bio Art, Bio-Architecture, Biohacking Art, Biomorphism, Blacksmithing, Body Art, Bonsai, Bonsai Art, Book Arts, Book Sculpture, Bookbinding, Botanical Illustration, Brush Painting, Byzantine Art, CNC Art, Camp Art, Capitalist Realism, Caricature, Cartooning, Celtic Knotwork, Ceramic Art, Chakra Art, Chinese Calligraphy, Cityscape Painting, Claymation, Cloisonné, CoBrA Movement, Code Art, Collage Art, Collagraph, Color Field Painting, Comic Art, Community Art, Computer Graphics Art, Conceptual Art, Constructivism, Contextual Art, Critical Regionalism, Cut-Out Animation, Cyborg Art, DNA Art, Dadaism, Data Moshing, Data Visualization, De Stijl, Decoupage, Deep Dream Art, Digital Art, Digital Collage, Digital Painting, Drone Photography, Drypoint, Earthworks, Eco-Art, Egg Tempera Painting, Embossing, Embroidery Art, Enamel Art, Encaustic Art, Encaustic Painting, Endurance Art, Engraving, Entoptic Imagery, Environmental Art, Environmental Graphics, Environmental Sculpture, Etching, Exhibition Design, Expressionism, Fabergé Eggs, Fantastic Realism, Fantasy Art, Fauvism, Fiber Art, Fiberglass Sculpture, Figuration Libre, Figure Painting, Flipbooks, Floral Design, Fluxus, Foam Sculpture, Folk Art, Found Object Art, Found Object Sculpture, Fractal Art, Fresco Painting, Futurism, GAN Art, GIF Art, Garden Design, Gemstone Carving, Generative Art, Genetic Art, Genre Painting, Geometric Abstraction, Geometric Art, Gigapixel Imaging, Gilding, Glass Art, Glassblowing Art, Glitch Art, Gold Leaf Art, Gothic Art, Gouache Painting, Graffiti Art, Graffiti Calligraphy, Graphic Novels, Green Roofs, Guerilla Art, Guohua, Gutai Group, Happenings, Hard-edge Painting, Henna Art, High Relief, High-Speed Photography, History Painting, Holography, Hyperrealism, Ice Sculpture, Iconography, Ikat, Ikebana, Illuminated Letters, Illuminated Manuscripts, Illustration, Immersive Installations, Immersive Media, Impressionism, Indigenous Art, Infographics, Information Design, Infrared Photography, Ink Wash Painting, Inlay Art, Installation Art, Intaglio, Intarsia, Interactive Installations, Interactive Panoramas, Interior Design, Internet Art, Intervention Art, Islamic Geometric Art, Jewelry Design, Kinetic Architecture, Kinetic Art, Kinetic Sculpture, Kinetic Typography, Kintsugi, Kirigami, Kitsch Art, Lace Making, Land Art, Landscape Architecture, Landscape Painting, Laser Art, Letterpress, Lettrism, Light Art, Light Field Photography, Linocut, Lithography, Living Walls, Lost Wax Casting, Lowbrow Art, Lyrical Abstraction, Macro Photography, Magic Realism, Mail Art, Mandala Art, Manga Art, Mannerism, Marquetry, Massurrealism, Matte Painting, Maximalism, Mechanical Art, Medical Illustration, Meme Art, Metal Casting, Metal Leaf Art, Metalwork Art, Mezzotint, Microbial Art, Microscopic Art, Minimalism, Mixed Media, Mixed Reality Art, Monochrome Painting, Monotype, Monumental Art, Mosaic Art, Moss Art, Motion Graphics, Motion Graphics Art, Mughal Miniature, Multisensory Art, Mural Art, Murano Glass, Museum Design, Mythological Art, Narrative Art, Naïve Art, Neo-Dada, Neo-Expressionism, Neo-Geo, Neoclassicism, Net Art, Neural Style Transfer Art, Nordic Runes, Nouveau Réalisme, Op Art, Open Source Art, Optical Art, Organic Abstraction, Origami Architecture, Orphism, Outsider Art, Panorama Photography, Paper Engineering, Papercutting Art, Papier-mâché, Participatory Art, Pattern Art, Performance Art, Persian Miniature, Phenakistoscopes, Photomontage, Photorealism, Pixel Art, Plop Art, Pointillism, Political Art, Polymer Clay Sculpture, Pop Surrealism, Pop-Up Books, Porcelain Art, Portrait Painting, Post-Impressionism, Pre-Raphaelite Art, Procedural Art, Projection Art, Projection Mapping, Propaganda Art, Psychedelic Art, Public Art, Puppet Animation, Purism, Quilting Art, Raku Pottery, Rayonism, Realism, Recycled Art, Reduction Printing, Relational Aesthetics, Relief Carving, Relief Sculpture, Religious Art, Renaissance Art, Resin Casting, Retail Design, Reverse Graffiti, Ritual Art, Robotic Art, Rococo, Romanticism, Sacred Art, Sand Mandala, Sand Sculpture, Satirical Art, Science Fiction Art, Scientific Illustration, Screen Printing, Seascape Painting, Shadow Puppetry, Shamanic Art, Shanshui Painting, Shaped Canvas, Shibori, Silhouette Animation, Site-Specific Art, Situationist International, Social Practice Art, Software Art, Sots Art, Sound Art, Space Art, Stained Glass, Steam Engine Art, Sticker Art, Still Life Painting, Stone Balancing, Stone Carving, Stop Motion Animation, Street Art, Stuckism, Sumi-e, Sumi-e Ink Painting, Superflat, Suprematism, Surrealism, Sustainable Art, Symbolism, Symmetry Art, Synchromism, Tachisme, Tactical Media, Tantric Art, Tapestry Weaving, Tattoo Art, Tenebrism, Terra Cotta Art, Tessellation Art, Time-Lapse Photography, Topiary, Topiary Art, Totemic Art, Toyism, Transavantgarde, Tribal Art, Typography Art, Ukiyo-e, Ultraviolet Photography, Underwater Photography, Upcycling Art, Urban Design, Video Art, Video Installation, Virtual Reality Art, Virtual Tour Photography, Visionary Art, Vorticism, Voxel Art, Watercolor Painting, Wayfinding Design, Wheatpaste Art, Wildlife Art, Wire Sculpture, Wood Carving, Yarn Bombing, Zen Ink Painting, Zero Group, Zines, Zoetropes, Zombie Formalism");
-
-        private string GetRandomSampling()
-        {
-            var sampledAliases = new List<string>();
-            
-            var guys = new List<Alias>() {aggressivelyFantastic, forts, locations, compositionTypes, artStyles, weatherPhenomena };
-            guys = guys.OrderBy(x => Random.Shared.Next()).ToList();
-            foreach (var alias in guys)
-            {
-                var val = alias.GetRandomAlias(true);
-                if (!string.IsNullOrEmpty(val))
-                {
-                    sampledAliases.Add(val);
-                }
-                if (sampledAliases.Count >= 1)
-                {
-                    break;
-                }
-            }
-            return string.Join(", ", sampledAliases);
-        }
-
-        public Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var randoms = GetRandomSampling();
-            var newVersion = $"'{pd.Prompt}' {randoms}";
-            pd.ReplacePrompt(newVersion, newVersion, TransformationType.Randomizer);
-
-            return Task.FromResult(true);
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Runtime;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class Alias
+    {
+        public List<string> Options = new List<string>();
+        public double Probability { get; set; } = 0.23;
+        public string Name { get; set; }
+        public Func<string,string> Formatter { get; set; }
+
+        public Alias(string name, Func<string,string> formatter, string values)
+        {
+            Name = name;
+            Options.AddRange(values.Split(',').ToList().Select(el => el.Trim()));
+            Formatter = formatter;
+        }
+
+        public string GetRandomAlias(bool? force = false)
+        {
+            var rndval = Random.Shared.NextDouble();
+            if ((force.HasValue && force.Value ) || rndval < Probability)
+            {
+                var val = Options[new Random().Next(Options.Count)];
+                return Formatter(val);
+            }
+            else
+            {
+                return "";
+            }
+        }
+    }
+
+    public class RandomizerStep : ITransformationStep
+    {
+        private static Random random = new Random();
+
+        public string Name => nameof(RandomizerStep);
+        public static Alias strange = new Alias("GPTStrange", (string a) => $"{a}.", "unclear image, a strange image, pixellated, made of food, badly photoshopped, as if a blind person organized it, wearing clothing no adult would ever wear, unbelievably strange, cruelly drawn, wasteful, awful, terrifyingly tiny, miniaturely lilliputian, hundreds of dogs everywhere, hundreds of spiders everywhere, entire world is furry, completely charred and destroyed and burned down, everything is made of emojis, extremely distorted emoji heads, hidden faces and eyes everywhere, super distortion mode, realistic chibi style, realistic roblox style, super blurry, lost footage restored from 1800 colorized, over-colorized ancient movie style, badly drawn amateur art, in the style of 4chan mspaint memes, as if drawn in mspaint, in the style of deviantart, as if it was a magic card illustration, made of dripped melted wax, art you would see in walmart, unclear image, a strange image, pixellated, badly photoshopped, as if a blind person organized it, super distortion mode, super blurry, lost footage restored from 1800 colorized, over-colorized ancient movie style, unclear image, distorted visuals, glitchy artifacts, bizarre rendering, surreal composition, warped perspectives, fractured realities, digital disintegration, pixelated nightmares, fragmented scenes, dreamlike landscapes, otherworldly visions, hallucinatory spectacles, reality-bending illusions, mind-bending abstractions, paradoxical imagery, nonsensical juxtapositions, unconventional compositions, subverted expectations, surreal amalgamations, dreamscapes from alternate dimensions.unclear image, distorted visuals, glitchy artifacts, bizarre rendering, surreal composition, warped perspectives, fractured realities, digital disintegration, pixelated nightmares, fragmented scenes, dreamlike landscapes, otherworldly visions, hallucinatory spectacles, reality-bending illusions, mind-bending abstractions, paradoxical imagery, nonsensical juxtapositions, unconventional compositions, subverted expectations, surreal amalgamations, dreamscapes from alternate dimensions, made of unconventional materials, edible masterpieces, culinary compositions, gastronomic artworks, fashion-defying ensembles, whimsical attire, emoji mosaics, expressive digital faces, molten wax sculptures, untrained artistic expressions, raw creative impulses, internet subculture aesthetics, digital folk art, online community artistry, trading card universe illustrations, fantastical realms captured on canvas, magical worlds depicted in paint., unfathomably bizarre, inexplicably peculiar, disturbingly odd, unnaturally eerie, hauntingly surreal, disquietingly uncanny, unsettlingly grotesque, nightmarishly twisted, cruelly rendered, mercilessly depicted, wastefully extravagant, shockingly awful, appallingly dreadful, horrifyingly minuscule, microscopic terrors, canine invasions, arachnid infestations, furry apocalypse, scorched landscapes, charred remnants, smoldering ruins, hidden gazes lurking, omnipresent watchful eyes, mass-produced banality, commercial art nightmares..");
+
+        public static Alias rpgstyles = new Alias("RPGStyles", (string a) => $"In the style of {a}",       
+            "Dungeons and Dragons, Pathfinder, Lamentations of the Flame Princess, " +
+            "Dungeon Crawl Classics, Fantasy AGE, Warhammer Fantasy, " +
+            "Palladium Fantasy, G.U.R.P.S, Basic Fantasy, Low Fantasy Gaming, " +
+            "Vagabond, Tales of the Valiant, Cypher System, Savage Worlds, " +
+            "RuneQuest, Ars Magica, Iron Kingdoms, Torchbearer, The One Ring, " +
+            "Burning Wheel, Legend of the Five Rings, Fate, 13th Age, " +
+            "Adventurer Conqueror King System, Forbidden Lands, Conan, OSR, " +
+            "Fighting Fantasy, Tunnels and Trolls, Monsters Monsters, TTRPG, " +
+            "EZD6, Index Card RPG, Dungeons of Drakkenheim");
+
+        public static Alias games = new Alias("GPTGames", (string a) => $"In the style of {a}", "Clash of Clans, Angry Birds, Candy Crush, Pokemon Go, Call of Duty: Modern Warfare, Super Mario Bros., The Legend of Zelda, Tetris, Minecraft, GTA V," +
+            " The Elder Scrolls V: Skyrim ,  World of Warcraft, Overwatch, Super Smash Bros. Ultimate, Dark Souls III, The Witcher 3, Counter-Strike, DOTA 2, League of Legends, Everquest, Plants vs Zombies, 2048, " +
+            "Minesweeper, Freecell, Fruit Ninja, Simcity, The Sims, Rocket League, Diablo II, Path of Exile, Stardew Vallye, Garry's Mod, PubG, Bejeweled, Final Fantasy VII, Assassin's Creed, Metal Gear Solid V, " +
+            "Animal Crossing, Halo: Combat Evolved, Portal, Beat Saber, Werewolf, Sudoku, Yu-Gi-Oh!, Magic: The Gathering, Dance Dance Revolution, Quidditch, Chess, Checkers, Baduk aka Weiqi aka go, Tic-Tac-Toe, " +
+            "Hades, Nethack, Solar Scuffle, Apex Legends, Splatoon 2, Sea of Thieves, Military Madness aka Nectaris, Arkanoid, Donkey Kong Jr., Subnautica, The Last of Us, Pinball, Quake, Myst, " +
+            "Street Fighter II Turbo, Sonic the Hedgehog, GoldenEye 007, Half-Life, StarCraft, Guitar Hero, Wii Sports, Bioshock, Fallout 2, Pong, Battleship, Club, Frogger, Asteroids, Duck Hunt, " +
+            "Prince of Persia, Mortal Kombat, The Oregon Trail, Lemmings, fortnite, slay the spire, factorio, Mega Man X, Factorio, EarthBound, Deus Ex, Populous, Baldur's Gate, Age of Empires II: The Age of Kings," +
+            "Axis and Allies, Risk, Gears of War, Castlevania ");
+
+        public static Alias historySpots = new Alias("GPTHistory", (string a) => $"The setting is {a}", "1200 Iceland, 1920 Iceland, 1500ad, 10bc finland, 1000ad mayan empire, 10000 years BR in caveman times, 100 million years ago among dinosaurs, in a time travel time machine, in the super far future, \" +\r\n\"1200ad peru, 1900 buenos aires, 1966 falkland islands, 1000bc northern canada, 1000bc nunavut, 2020 toronto, 2022 vancouver, 1000 bc, 0ad, 10ad, 40ad rome, 400ad babylon, 800ad kazakhstan, 1200 china, 2000 china, 2005 beijing, 2010 japan");
+        
+        public static Alias astro = new Alias("GPTAstro", (string a) => $"{a} are visible", "galaxies, nebulae, supernovae, pulsars, quasars, cosmic rays, dark matter, dark energy, neutron stars, wormholes, exoplanets, asteroid belts, comets, meteoroids, meteors, shooting stars, auroras, eclipses, space debris, space elevators");
+
+        public static Alias robloxGames = new Alias("GPTRobloxGames", (string a) => $"In the style the Roblox game: '{a}'", "Adopt Me: Neon Pets, Apocalypse Rising, Bad Business, Balloon Simulator, Bird Simulator, Clone Tycoon 2, Crazy Knife, Cube eat Cube, " +
+            "Dance Your Blox Off, Firefighter Simulator, Flood Escape 2, Guest World, Heroes Online, Hide and Seek Extreme, Ice Cream Simulator, Mining Simulator 2, Parkour Simulator, Please Donate, Prison Life, " +
+            "Restaurant Tycoon 2, RoCitizens, Robeats, Robloxian Highschool, Rumble Quest, SCP: Roleplay, Saber Simulator, SharkBite, Snow Shoveling Simulator, Soccer Legends, Strucid, Super Bomb Survival!!, " +
+            "Super Doomspire, Survive the Killer, Swordburst 2, Terrain Parkour, Texting Simulator, The Floor is Lava, Tower Battles, Ultimate Driving: Westover Islands, Wizard Tycoon - 2 Player, World // Zero, " +
+            "Zombie Rush, Blade ball, Cube eat cube, Egg Hunt, Trade Hangout, Big paintball, Ride a cart simulator, Tiny Tanks, Hueblox, Classic Crossroads, Grass Cutting Tycoon, Murder Mystery 2," +
+            "Swordfight on the heights, Sword fighting simulator, Bee Swarm Simulator, Sword Fight Tornument, +1 fat every second, Trade Hangout, Catalog Heaven, Mermaid Life, Hueblox, My Droplets, " +
+            "Crossroads, The Underground War, mortal coil, Wacky Wizards, Welcome to the town of Robloxia - Building, Nuke the Whales, BIRD, Bloxfruits, Deception Infection, Super Golf, Weight Lifting Simulator," +
+            " Watermelon Go, BIG Paintball, Bladeball, Survive a plane crash, Fall down a 10000 stud hole, Build to survive the dragobloxers, VR Hands, Condo Games, On Tap, DOORS, Santa's Winter Fortress, Tower Defense Simulator, A wolf or other, Cleaning Simulator, Loomian Legacy, Broken Bones IV, Project Lazuras, Apocalypse Rising, Obby but you're on a bike, The Roblox Happy Home, Gucci Garden, Catalog Avatar Creator, Reason 2 Die, Mad Murderer, Miner's Haven, The Wind, Islands, Adopt Me!, Tower of Hell, Brookhaven 🏡RP, MeepCity, Murder Mystery 2, Blox Fruits, Arsenal, Royale High, Piggy, Jailbreak, Shindo Life, Anime Fighting Simulator, Bee Swarm Simulator, Welcome to Bloxburg, Build A Boat For Treasure, Mad City, Dungeon Quest, Vehicle Simulator, Ninja Legends, Bubble Gum Simulator, Tower Defense Simulator, Phantom Forces, Boku No Roblox, Super Power Training Simulator, Mining Simulator, Dragon Ball Z Final Stand, Shinobi Life 2, Natural Disaster Survival, Work at a Pizza Place, Blox Piece, Adopt and Raise a Cute Kid, Speed Run 4, Weight Lifting Simulator 3, Roblox High School, Theme Park Tycoon 2, Epic Minigames, Lumber Tycoon 2, Super Hero Tycoon, Treasure Hunt Simulator, Island Royale, Zombie Attack, Pet Simulator X, Flee the Facility, Skywars, Vehicle Tycoon, Booga Booga, Lucky Block Battlegrounds, Pokemon Brick Bronze, Among Us");
+
+        public static Alias scifi = new Alias("GPTScifi", (string a) => $"Utilizing high-tech {a}", "artificial intelligence, quantum computing, virtual reality, augmented reality, brain-computer interfaces, genetic engineering, nanotechnology, bionic implants, androids, cyborgs, exoskeletons, teleportation, time travel, warp drives, force fields, plasma weapons, lasers, energy shields, cloaking devices, replicators, holodecks, genetic recombination, controlled mutation, mental psionics, levitating ships, self-driving cars");
+
+        public static Alias weatherPhenomena = new Alias("GPTWeatherPhenomena", (string a) => $"Weather conditions: {a}", "hurricanes, typhoons, blizzards, hailstorms, wildfires, heat waves, droughts, famines, earthquakes, landslides, avalanches, volcanic eruptions, tsunamis, flash floods, quicksand, sleet, hail, drizzle, intense fog, mist, sinkholes, sandstorms, dust storms, lightning storms, meteor showers, solar flares");
+
+        public static Alias aggressivelyFantastic = new Alias("GPTFantastical", (string a) => $"There is some {a}.", "mega-kanji, acid rain forests, aether currents, alien relics, alien strange unusual kaiju, ancient holographic maps, ancient leviathans, ancient war machines, anti-gravity waterfalls, antimatter cascades, Arcane observatories, astral plane waypoints, ball lightning, banshees, barrels and crates, basilisks, Bio-engineered phoenixes, bio-luminescent fungi, bio-mechanical dragons, bioluminescent forests, Bioluminescent reefs, blood-red tides, carnivorous plants, Celestial dragons, celestial music, celestial spheres, Celestial tapestries, chaos vortexes, chonky cats, cliff waterfalls, magnificent towers, Clockwork castles, Cosmic gardens, cosmic jellyfish, cosmic strings, cosmic voids, Cosmic whirlpools, crypid homelands, crystal caves, Crystal-clear tall icebergs, Crystal-encrusted golems, cursed artifacts, cursed labyrinths, cursed ruins, cyclopean monoliths, D&D beholder monsters, Dimension hoppers, dimensional folds, dream weavers, dream worlds, drifting ruins of space stations, drones which are equipped with tools to give flying haircuts, dwarf horses, A dyson sphere, echo chambers, echoing canyons and gorges, forgotten fjords, eldritch abysses, elemental planes, self-erasing scenery, fnord, enchanted forests, enchanted labyrinths, encrypted alien languages, endless deserts, entropy engines, Ethereal guardians, ethereal planes, exceptionally gigantic and excessively magma-producing volcanoes, exotic and unusual strange orchids, exploding stars, extremely huge and super steep mega-cliffs, fairies, Fireflies of unusual size, flaming skulls, floating islands, Floating markets, flocks of unique strange butterflies, Forgotten realms, forgotten tombs, fractal forests, fractal realms, frozen tundras, fulgurites, futuristic Tesla models, Ghostly caravans, ghostly waltzes, gigantic geodes of various types, gigantic ice walls, glimmering alien spires, glitching realities, glow worms, gravity lenses, gravity wells, gravity-defying mountains, gravity-defying waterfalls, haunted castles, holographic universes, huge greenhouses, huge realistic ant farms, hydras, hyperdimensional cubes, hypersonic sand dunes, icebergs, Infinite libraries, interdimensional portals, invisible rivers, mutated krakens, large solar panel arrays, lava and magma rivers, levitating temples, liquid light, living constellations, living forests, living lightning bolts, living mountains, living statues, living storms, Living vines, Luminescent fungi, Lunar forests, magical liches, magnetic whirlwinds, mega-huge gigantic ocean-going ships and vessels, megasharks and skeletons and relics of them, memory mazes, Memory palaces, merfolk, minotaurs, mirror dimensions, Mirror lakes, mirror mazes, molten landscapes, moonlit battlegrounds, Mystic auroras, Mystic fogs, nano-swarms, naturally forming and artificial lasers, nebula nurseries, Nebulae oceans, necromancer crypts, neon jungles, obsidian fortresses, orcs, paradox loops, parallel universes, pegasi, perpetual eclipses, Phantasmal echoes, phase-shifted cities, phoenixes, pixies, Plasma dragons, plasma tornadoes, pocket dimensions, probability storms, psychic nexuses, psychic storms, pulsar beams, quantum coral reefs, quantum mirages, quantum rainbows, quantum realms, Quantum waterfalls, quantum whispers, reality anchors, reality bubbles, reality glitches, rogue AI swarms, Rune-inscribed monoliths, self-replicating nanobots, sentient crystal clusters, sentient crystals, sentient fog, sentient nebulae, sentient shadows, Sentient stars, sentient storms, serpentine rivers, Shadow puppeteers, shadow realms, shape-shifting mountain ranges, shape-shifting sands, shattered spheres, Shimmering mirages, Singing sand dunes, singularity seeds, Solar flares, Space-time anomalies, specific d&d artifacts, spectral apparitions, stalactites, star forges, star-eating black holes, Starlight sanctuaries, steep striped pyramids, Storm-chasing ships, sub-zero geysers, techno-organic hybrids, Teleporting islands, temporal echoes, temporal rifts, temporal whirlpools, tesseract temples, thought bubbles, Thunderous silence, time rifts, Time-worn ruins, tons and tons of scattered gold bars, Translucent butterflies, triple rainbows, trolls, tsunamis and wave formations and waterspouts, unbelievably cute and anachronistically oversized puppies, underwater cities, unusual alien hexapods, unusual sand-worms, various types of unusual rare never-before-seen dinosaurs, viral supernovas, void flowers, void whales, volcanic lightning storms, Whispering galaxies, whispering willows, wild horses, zeppelins, zero-point energy.");
+
+        public static Alias forts = new Alias("GPTForts", (string a) => $"{a} is being used as a fort.",
+            "monumental architecture, fort knox, the white house, the louvre, the golden temple of amritsar, the taj mahal, brutalist architecture, a massive curtain wall extending to the horizon which holds an entire city, a ponderously gigantially tall wizard's tower, a monumental glacier, sheer cliffs, a sheer crevass riddled with ledges and ice tunnels, infinite stairways, abandoned and fortified oil rigs, a magically preserved castle, interlocking moats, megaliths, arcologies, red square and the kremlin, mordor and the dark tower, narnian castles at carnaervon, the washington monument, Ancient ziggurats, Floating citadels, Underwater domes, Sky-high spires, Labyrinthine catacombs, Tree-top villages, Subterranean bunkers, Colossal stone statues, Desert fortresses, Ice palaces, Glass pyramids, Steampunk airships, Hollowed-out mountains, Volcano lairs, Enchanted windmills, Celestial observatories, Haunted mansions, Bioluminescent caves, Cloud castles, Crystal fortresses, Time-worn lighthouses, Gigantic shipwrecks, Solar-powered strongholds, Mirror mazes, Spiral towers, Quantum bunkers, Floating islands, Dragon's lairs, Cosmic temples, Celestial arches, Gravity-defying bridges, Massive clock towers, Underwater labyrinths, Mystical pagodas, Space stations, Megalithic circles, Mystic monasteries, Enchanted libraries, Alchemical laboratories, Golem workshops, Rune-inscribed walls, Celestial amphitheaters, Astral gateways, Meteorite craters, Transcendent shrines, Ghostly fortifications, Starship docks, Dimensional nexuses, Floating gardens, Fortress monasteries, Mystic ziggurats, Hanging Gardens over Mesopotamia, Great Wall across endless mountains, Petra's rose-red city in cliffs, Notre-Dame's Gothic spires in Paris, Machu Picchu atop the Andes, Minotaur's labyrinth on Crete, Submerged ruins of Atlantis, Egypt's pyramids guarding sands, Stonehenge's mystical stone circle, Viking longhouses along fjords, Colosseum as colossal fortress, Shinto shrines in cedar forests, Hagia Sophia's domes in Istanbul, Medieval castles on the Rhine, Floating temples of Tenochtitlan, Agra's Red Fort sandstone walls, Alexandria's ancient library, Alhambra overlooking Granada, El Dorado in the Amazon, Ziggurat of Ur under starlight, Celtic hillforts on Britannia's hills, Sumerian cuneiform temples, Tower of Babel reaching heavens, Chichén Itzá's celestial pyramids, Carcassonne's walled battlements, Castles in the Black Forest, Cappadocia's underground cities, Forbidden City in Beijing, Blue Mosque's domes in Istanbul, Rajasthan's deep stepwells, Kremlin's stars over Red Square, Gothic abbeys in countryside, Silk Road desert fortresses, Genghis Khan's Mongolian encampments, Anasazi cliff dwellings, Sunken continent of Lemuria, Hieroglyphic obelisks in Luxor, Meteora's cliff-top monasteries, Malta's megalithic temples, Camelot, Arthur's stronghold, Neuschwanstein in alpine forests, Lalibela's rock-hewn churches, Ancient citadel of Aleppo, Scottish Highlands' castles, Persepolis in ancient Persia, Ghost city Fatehpur Sikri, Dubrovnik's walls by the sea, Epidaurus's echoing amphitheaters, Potala Palace in the clouds, Matera's rock-cut city, Knossos's palace on Crete");
+
+        ///okay this one is awesome.
+        public static Alias compositionTypes = new Alias("GPTCompositions", (string a) => $"Composition style: '{a}'",
+            "low horizon, high horizon, gradient following exploratory, minimalist sky, " +
+            "rule of thirds with extreme offset, negative space, " +
+            "leading lines, symmetrical, asymettrical, confrontational, hypnotically repeating, repetitive, starkly minimalist, spherical, " +
+            "diagonal, golden ratio geometrical compsition, spiral twirling composition, shallow depth of field with extreme bokeh, obsessed with bokeh, deceptive scale, forced perspective,  " +
+            "textured foreground, vibrant color contrast, silhouette, " +
+            "dynamic tension, abstract pattern, reflective symmetry, " +
+            "juxtaposition, balanced elements");
+
+        public static Alias locations = new Alias("GPTLocations", (string a) => $"Location: '{a}'",
+            "Seaside cliffs of rural Seoul, the moors of central barren foggy Scotland along a plateau edge above an abandoned castle, " +
+            "the San Francisco bay trail in fog, " +
+            "The sf peninsula foggy hills above Half Moon Bay, " +
+            "An infinitely high cliff overlooking a beautiful detailed paradise farming world, " +
+            "A post-apocalyptic restoration center for humanity" +
+            "The Ruins of an Ancient City among the crumbling walls lost relics and symbols and abandoned empty streets of a once-great metropolis, " +
+            "A Floating City in the Clouds with aerial platforms and suspended walkways that provide a unique three-dimensional space, " +
+            "An Underwater City among submerged buildings and coral reefs with sea creatures and glowing hints of life and wear, " +
+            "A Volcanic Crater where Lava flows and eruptions thunder nearby revealing glowing magma, " +
+            "A Dense Misty Jungle where Visibility is limited and the dense unique foliage and flowers flora and fauna, " +
+            "A Massive Moving Train with carriages on carriages led by a speeding gigantic oversized locomotive along incredible tracks along with a small raccoon detective," +
+            "In the Tunnels of a Giant Ant Colony which is a A maze-like claustrophobic setting with numerous pathways," +
+            "A Giant Ancient Library where Countless books and shelves hid hidden mystical or scientific knowledge beyond the ken of normal men inhabited by appropriately studious creatures, " +
+            "An Abandoned Amusement Park with roller coasters and haunted houses and and carousels, " +
+            "A Network of Ice Caves with Slippery surfaces and narrow passageways and a constant threat of collapse inhabited by ice denizens," +
+            "0 BC Rome - Bustling streets of Ancient Rome with senators gladiators and grand architecture like the Colosseum, " +
+            "Ancient Neanderthal Caves in Europe - Primitive cave dwellings adorned with early human paintings and artifacts," +
+            "1200s Mayan Empire Temple Top - A vibrant Mayan temple amidst the dense jungle filled with intricate carvings and astronomical alignments," +
+            "15th Century Forbidden City in Beijing - Majestic palaces and gardens showcasing Imperial China's grandeur," +
+            "1940s Paris during WWII - War-torn yet resilient Paris with clandestine meetings and the spirit of resistance," +
+            "Victorian London in the 1800s - Foggy streets horse-drawn carriages and the burgeoning industrial revolution," +
+            "Ancient Egyptian Pyramids Giza circa 2500 BC - Monumental pyramids and the Sphinx with bustling construction and ancient rituals," +
+            "Edo Period Tokyo (1603-1868) - Traditional Japanese architecture samurai warriors and vibrant street life," +
+            "Viking Settlement in Scandinavia 9th Century - Rugged landscapes with longships mead halls and Nordic culture," +
+            "Renaissance Florence in the 15th Century - Birthplace of the Renaissance filled with art innovation and political intrigue," +
+            "1920s New York City during the Jazz Age - Skyscrapers rising speakeasies bustling and the Harlem Renaissance in full swing," +
+            "Ancient Athens during the Golden Age (5th Century BC) - Philosophers orators and the Parthenon symbolizing the cradle of democracy," +
+            "Mughal Empire in Delhi 17th Century - Opulent palaces and gardens epitomized by the Taj Mahal," +
+            "Medieval Constantinople 10th Century - A crossroads of cultures with Byzantine and Ottoman influences," +
+            "Aztec Capital Tenochtitlán 15th Century - An island city with intricate canals bustling markets and grand temples," +
+            "18th Century Versailles during the French Monarchy - Extravagant palace life with opulent balls and intricate political plots," +
+            "Ancient Carthage 3rd Century BC - A powerful Mediterranean port city with a mix of cultures and naval dominance," +
+            "Gold Rush San Francisco 1850s - Rapid growth and diversity amidst the pursuit of fortune," +
+            "Indus Valley Civilization 2500 BC in Mohenjo-Daro - Advanced urban planning and mysterious script in one of the world's earliest major cities," +
+            "Sparta in the Classical Greek Period 5th Century BC - A city-state renowned for its military discipline and austere lifestyle, " +
+            "A Desert Oasis with lush greenery and water springs amidst vast sand dunes sheltering diverse wildlife," +
+            "A High-Speed Space Station orbiting a distant planet with futuristic technology and panoramic views of the cosmos," +
+            "An Overgrown Ruined Castle shrouded in ivy and history echoes of ancient battles and forgotten tales," +
+            "A Crystal Cavern sparkling with multi-colored gems and crystal formations reflecting light in dazzling patterns," +
+            "A Skyborne Archipelago with floating islands connected by rope bridges harboring unique flora and fauna," +
+            "A Deep-Sea Abyss where bioluminescent creatures and strange geological formations exist in perpetual darkness," +
+            "A Futuristic Metropolis with towering skyscrapers neon lights and advanced technology teeming with life," +
+            "A Wild West Ghost Town with dusty streets abandoned saloons and a sense of a time gone by," +
+            "A Mystical Forest with enchanted trees whispering secrets magical beings and a sense of wonder," +
+            "An Arctic Research Base isolated in a snowy expanse with cutting-edge facilities and a harsh climate.," +
+            "The windswept plains of a post-apocalyptic Earth sorrowful yet simple.," +
+            "An ancient ruin reclaimed by sand windswept yet retaining geometrical beauty.," +
+            "An endless golden grain field beneath an alien yellow sky - solitude and freedom.," +
+            "Wonderland from Alice in Wonderland - Curiosity and confusion in a nonsensical realm where magic mushrooms make you grow or shrink and time runs backward," +
+            "The Shire from Lord of the Rings - Fear and despair in the bleak ashen plains surrounded by volcanoes where Sauron's eye watches endlessly.," +
+            "Narnia from The Lion The Witch and the Wardrobe - Good triumphing over evil in a land watched over by a noble lion and currently cast under an endless winter.," +
+            "An all-white limbo space influenced by The Matrix stripped-down yet disturbed.," +
+            "Symmetrical brutalist structures from Equilibrium's monochromatic city perfection imposed by force.," +
+            "Vast Zen rock gardens with raked patterns from memoirs of Japanese monks calming and centering.," +
+            "An icy Watchtower like Game of Throne's Wall hardened shelter from risks unknown.," +
+            "A precisely planned forest village resembling aesthetics from Princess Mononoke harmoniously balanced with nature.," +
+            "On the side of a hill from a romantic nostalgic anime," +
+            "Norse Gods at Ragnarok (Dread Bravery) - The ultimate battle with fate hanging in the balance.," +
+            "Mythical Olympus at its Peak (Splendor Rivalry) - The home of the gods resplendent but rife with rivalries.," +
+            "A City on the Back of a Giant Moving Creature (Wanderlust Fear) - A nomadic city with the constant threat of the unknown.," +
+            "Parallel Universe New York (Bewilderment Excitement) - Familiar yet bizarrely different with endless possibilities.," +
+            "Ghost Ship in the Bermuda Triangle (Mystery Fear) - A haunted vessel with an eerie and uncertain fate.," +
+            "An Enchanted Forest with Warring Fae (Beauty Betrayal) - Ethereal landscapes shadowed by deceit and power struggles.," +
+            "Middle Earth's Rivendell during War (Tranquility Tension) - A serene elven haven on the brink of war.," +
+            "Atlantis Rising from the Sea (Wonder Awe) - The mythical city re-emerging revealing ancient technologies and mysteries.," +
+            "Timbuktu in the 14th Century - A thriving center of African scholarship and trade., " +
+            "Ancient Babylon  6th Century BC - Hanging Gardens and grand ziggurats along the Euphrates River.," +
+            "Machu Picchu in the 15th Century - Mysterious Incan city hidden high in the Andes Mountains.," +
+            "Heian-kyo (Kyoto) during Japan's Heian Period - Elegant imperial courts and the flowering of Japanese culture.," +
+            "19th Century St. Petersburg - Russian imperial splendor with grand canals and the Winter Palace.," +
+            "Angkor Wat in the 12th Century  Cambodia - Majestic temples surrounded by dense jungle.," +
+            "Viking Age Dublin  9th Century - A bustling Norse settlement and trading hub.," +
+            "Venice in the Renaissance - Canals and gondolas  with a flourishing of arts and commerce.," +
+            "Jerusalem during the Crusades - A city at the crossroads of religions and conflicts.," +
+            "Han Dynasty China's Silk Road Cities - Exotic trade routes connecting East and West.," +
+            "Istanbul during the Ottoman Empire - A melting pot of cultures  bridging Europe and Asia.," +
+            "The Roaring Twenties in Chicago - Jazz  prohibition  and the rise of organized crime.," +
+            "Baghdad during the Islamic Golden Age - Center of learning and culture with the House of Wisdom.," +
+            "Pompeii just before the eruption of Vesuvius in 79 AD - Daily life in an ancient Roman city.," +
+            "Ancient Athens at the time of Pericles - Flourishing arts and philosophy in the cradle of democracy.," +
+            "Elizabethan London in the late 16th Century - The time of Shakespeare and the Globe Theatre.," +
+            "The Hanseatic League in Medieval Lübeck - A rich and powerful merchant city-state.," +
+            "Harlem during the Harlem Renaissance - A flourishing of African-American arts and culture.," +
+            "Pre-Columbian Cusco  capital of the Inca Empire - Rich in culture and architecture.," +
+            "Mohenjo-Daro in the Indus Valley Civilization  2500 BC - An advanced ancient city with intricate urban planning.," +
+            "Ancient Alexandria in the Hellenistic Period - A center of learning and culture  home to the Great Library.," +
+            "Teotihuacan  1st Century AD - Home to the Pyramid of the Sun  a pre-Columbian architectural wonder.," +
+            "The Klondike Gold Rush  1890s in Yukon  Canada - Thrill and hardship in the search for gold.," +
+            "The Height of the Ottoman Empire in 16th Century Istanbul - A cosmopolitan hub of the world.," +
+            "Feudal Japan during the Time of Samurai - Castles and cherry blossoms and and warrior code.," +
+            "Ancient Polynesian Settlements in Hawaii - Early navigators and unique island culture.," +
+            "Colonial Williamsburg in the 18th Century - A living history of American colonial life.," +
+            "The Grandeur of the Mughal Empire in 16th Century India - Exquisite architecture and rich culture," +
+            "Ancient Rome at its Zenith under Emperor Trajan - A cosmopolitan empire at its peak," +
+            "The Ming Dynasty's Forbidden City in 15th Century Beijing - The imperial palace complex at the heart of China");
+
+        public static Alias artStyles = new Alias("GPTArtstyles", (string a) => $"The art style is: '{a}'", "Aquarela brasileira, 3D, 3D model, 3D printing art, Abstract, Abstract geometry, Acrylic pour, Action painting, Aerial drone art, Ancient pottery techniques, Animación stop motion, Anime, Ansel Adams-like stark, Apocalyptic, Apocalyptic cityscape, Architectural model building, Arte cinético (Spanish) Arte digital (Spanish),Arte povera (Italian), Arte mosaico bizantino, Arte quilling decorativo, Arte urbano graffiti, Augmented reality, Bamboo weaving, Baroque, Barro negro oaxaqueño, Basquiat-inspired street, Batik javanés, Bead weaving, Berniniesque dynamic, Bijutsu shashin (美術写真),Black velvet, Bioluminescent installation, Blackwork embroidery, Body painting, Bone carving, Book folding, Bordado punto cruz, Bordado suzani, Boschian fantastical, Botticellian grace, Brancusiesque simplified, Bruegelian detailed, Calado en madera, Caligrafía árabe, Calligraphic, Calligraphic graffiti fusion, Calligraphic lettering, Calligraphy, Candle crafting, Caravaggesque chiaroscuro, Cascading light display, Cerámica gres, Cerámica raku abstracta, Cestería mapuche, Chagallesque floating, Chainmaille fabric, Chalk street art, Prismatic Spray wave image, Cinematic virtual scenery, Clay animation storytelling, Clay pottery, Coffee art, Collage, Color-shifting mural art, Conceptual art Conceptual space exploration, Constable-inspired pastoral, Constructivist, Coral assemblage, Coral reef painting, Cosmic, Cosmic art, Cosmic photography, Courbet-like realism, Crackle glaze, Cubism, Cubist, Cubist figure, Cyanotype print, Cybernetic, Cybernetic organism, Cyberpunk, Cézannesque geometric, Da Vincian intricate, Dada, Daliesque surreal Danza butoh visual, Danza contemporánea (Spanish),contemporary dance., Deco, Deco elegance, Dibujo carboncillo expresivo, Digital 3D, Digital fabric weaving, Digital mosaic, Digital painting, Digital vector graphics, Dot painting, Dreamy, Dreamy landscape, Drybrush technique, Dystopian landscape sketch, Ebru sanatı, Ecologicalism, Eco-friendly sculpture, Eco-sculpture, Embroidered, Embroidered fabric, Embroidery, En plein air, Encaustic painting, Ephemeral sand portraits, Escheresque impossible, Escultura hielo luminoso Escultura reciclaje innovador, Estampa ukiyo-e, Ethereal, Ethereal glass sculpture, Ethereal vision, Experimental shadow theater, Expressionist, Fabric batik, Fauvist, Faux finish, Feather art, Felted wool landscapes, Fiber optic tapestry, Filigrana italiana, Fire ink drawing, Floral arrangement, Fluid art, Fluorescent body art, Folk, Folk embroidery, Food carving, Fotografía callejera monocromo, Fractal laser etching, Fresco, Fridaesque personal, Futurist, Futuristic, Futuristic skyline, Galactic spray paint, Gauguinesque exotic, Geodesic dome mural, Geometric, Glacial, Glacial sculpture, Glass blowing, Glass etching, Glitch overload, Glowing ice sculpture, Gold leaf, Gothic, Gothic cathedral, Goyesque grotesque, Grabado linóleo detallado, Graffiti, Graffiti wall, Graffito, Gravura em madeira,Gyotaku fish print, Hand-dyed fabric art, Handmade paper making, Handwoven light patterns, Haptic VR art, Haute couture,Highbrow, Highbrow, Highbrow critique, Hokusai-inspired wave, Holographic art, Holographic display, Holographic street art, Hopperesque solitude, Hyperbolic tessellation art, Hyperreal, Hyperrealism sketch, Ice, Ice carving, Ice sculpting, Ice sculpture, Iconografía bizantina, Glacier carving, fire-melted ice, Lava sculpture, Ikebana (生け花),Mixed media collage, Ilustración digital fantasía, Immersive virtual reality, Impressionist, Ink brush, Ink wash, Instalación arte lumínico, Instalación artística (Spanish),Intaglio, Instalación sonido inmersivo, Interactive light installation, Interactive mural Interactive sidewalk chalk, Iridescent bubble art, Joyería artesanal étnica, Junk sculpture, Kahloesque vivid, Kalamkari indio, Kilning, Kinetic, Kinetic mobile, Kinetic sand drawing, Kinetic sculpture, Kinetic wind art, Kintsugi (金継ぎ),Kintsugi repair, Klimtesque ornate, Lace making, Lacquer, Land art, Large-scale mural painting Laser-cut paper art, Leather tooling, Levitating sculpture art, Light painting, Light projection, Linocut print, Liquid metal sculpture, Litho, Litho print, Lithograph, Lost wax casting, Lowbrow, Lowbrow humor, Luces y sombras (Spanish), Light and shadows, Luminous thread embroidery, Macabre, Macro photography, Magnetic fluid art, Magrittesque mysterious, Mandala design, Manetesque modern, Manga, Manga sketch, Marbling, Metal forging, Michelangelesque heroic, Miniature book binding, Miniature model Minimal, Minimal design, Minimalist, Mixed reality installation, Mokuhanga (木版画),Batik tulis,Céramique raku,Papiroflexia,Arte callejero Joie de vivre,Sgraffito (Italian),Guóhuà (国画),traditional Chinese painting., Monetesque impressionist, Mosaic, Munchian angst, Mural, Mural street, Muralismo digital interactivo Muralismo mexicano (Spanish),Mexican muralism., Máscara veneciana, Natural landscape photography, Needle felting, Neon, Neon calligraphy, Neon portrait, Neon wireframe sculptures, Nihonga, Noir, Noir mystery, O'Keeffesque enlarged, Optical, Optical art, Optical illusion, Organic ceramic forms, Origami, Origami crane, Origami tessellation, Paisaje sonoro urbano, Panoramic digital fresco, Papel picado mexicano, Paper cutting, Paper mâché, Paper quilling, Papiroflexia modular avanzada, Parchment scroll, Pastel, Pastel drawing, Peinture abstraite abstract painting., Peisaj urban (Romanian),urban landscape., Performance art, Performance teatro callejero, Perfume blending, Phosphorescent forest art, Photoreal, Pintura al fresco, Pintura al óleo (Spanish),Pyrography, Pintura sumi-e, Pintura óleo realista, Pirograbado ruso, Pixel art, Pixel-perfect manual editing, Pixel animation, Pixelated design, Pixelated character, Pollock-style drip, Pop Art, Pop icons, Primitivism, Programmable matter sculpture, Proyección mapping dinámico, Psychedelic, Psychedelic swirl, Qi baishi (齐白石),Chinese ink painting style., Quantum dot canvas, Quilling art, Quilting, Quink art, Raku, Rakú japonés, Raphaelesque serene, Reactive sound mural Real-time animation projection, Recycled art, Relief carving, Relieve precolombino, Rembrandtesque dramatic, Resin art, Retro, Retro diner, Retrofuturism, Robotic arm painting, Rodinesque sculptural, Rothko-inspired abstract, Rubenesque voluptuous, Rustic, Rustic barn, Rustic pottery, Salt flat mirage, Salt painting, Sand, Sand animation, Sand castle, Sand mandala, Scented ink calligraphy, Scherenschnitte (German),Scrap metal sculpture, Seuratesque pointillist, Sgraffito, Sgraffito etching, Shadow art, Shadow play, Shell mosaic Shibori dyeing, Silhouette, Silhouette cutout, Silk embroidery, Site-specific performance art, Snow architecture, Soap sculpture, Solar plate etching, Solar reactive painting, Sound installation, Sound wave art, Sound-activated light art, Stained glass, Steampunk, Steampunk gadget, Stencil, Stenciled, Stenciled message, Stone masonry, Sumi-e ink, Surreal, Surreal dreamscape, Surrealist, Ta moko (Māori),traditional skin art., Talla piedra ancestral, Tape art, Tapestry, Tapestry weave, Tapiz flamenco, Tapiz mural contemporáneo, Terrazzo flooring, Textile dyeing Thangka, Thermal imaging, Thermal reactive murals, Three-dimensional street art, Time-lapse drawing, Tinta china (Spanish),Chinese ink, Tissage africain, Titianesque vibrant, Toulouse-Lautrec-esque nightlife Traditional woodblock printing, Tribal, Tribal mask, Trompe l'oeil, Trompe-l'œil,Ukiyo-e, Turner-inspired atmospheric, Técnica collage mixto, Ultraviolet landscape art, Urban, Urban decay photography, Urban sketching, Urban sprawl, Van Goghian swirl, Vaporwave, Vaporwave scene, Vermeeresque light, Vexel illustration, Vintage photo restoration, Virtual sculpture, Vitrail, Vitraux gothique, Warholian pop, Watercolor Watercolor garden, Weaving, Wheatpaste poster, Wire sculpture, Wood carving, Woodblock, Woodblock print, Woodcut, Wool felting, Xylography, Yarn bombing, Yarnbomb, Zen philosophy and koans, Zen garden, Zen garden design, Zentangle drawing, 2D Animation, 360-Degree Video, 3D Animation, 3D Printing Art, AI-Generated Art, ASCII Art, Abstract Expressionism, Absurdist Art, Activist Art, Aerial Photography, Agitprop Art, Algorithmic Art, Allegorical Art, Altered Books, Anti-Art, Appropriation Art, Aquatint, Arabic Calligraphy, Architectural Design, Architectural Sculpture, Art Brut, Art Informel, Art Nouveau, Arte Nucleare, Arte Povera, Artists' Books, Assemblage Art, Astronomical Art, Astrophotography, Augmented Reality Art, Aura Art, Automata, Bad Painting, Bas-Relief, Batik, Beadwork, Bio Art, Bio-Architecture, Biohacking Art, Biomorphism, Blacksmithing, Body Art, Bonsai, Bonsai Art, Book Arts, Book Sculpture, Bookbinding, Botanical Illustration, Brush Painting, Byzantine Art, CNC Art, Camp Art, Capitalist Realism, Caricature, Cartooning, Celtic Knotwork, Ceramic Art, Chakra Art, Chinese Calligraphy, Cityscape Painting, Claymation, Cloisonné, CoBrA Movement, Code Art, Collage Art, Collagraph, Color Field Painting, Comic Art, Community Art, Computer Graphics Art, Conceptual Art, Constructivism, Contextual Art, Critical Regionalism, Cut-Out Animation, Cyborg Art, DNA Art, Dadaism, Data Moshing, Data Visualization, De Stijl, Decoupage, Deep Dream Art, Digital Art, Digital Collage, Digital Painting, Drone Photography, Drypoint, Earthworks, Eco-Art, Egg Tempera Painting, Embossing, Embroidery Art, Enamel Art, Encaustic Art, Encaustic Painting, Endurance Art, Engraving, Entoptic Imagery, Environmental Art, Environmental Graphics, Environmental Sculpture, Etching, Exhibition Design, Expressionism, Fabergé Eggs, Fantastic Realism, Fantasy Art, Fauvism, Fiber Art, Fiberglass Sculpture, Figuration Libre, Figure Painting, Flipbooks, Floral Design, Fluxus, Foam Sculpture, Folk Art, Found Object Art, Found Object Sculpture, Fractal Art, Fresco Painting, Futurism, GAN Art, GIF Art, Garden Design, Gemstone Carving, Generative Art, Genetic Art, Genre Painting, Geometric Abstraction, Geometric Art, Gigapixel Imaging, Gilding, Glass Art, Glassblowing Art, Glitch Art, Gold Leaf Art, Gothic Art, Gouache Painting, Graffiti Art, Graffiti Calligraphy, Graphic Novels, Green Roofs, Guerilla Art, Guohua, Gutai Group, Happenings, Hard-edge Painting, Henna Art, High Relief, High-Speed Photography, History Painting, Holography, Hyperrealism, Ice Sculpture, Iconography, Ikat, Ikebana, Illuminated Letters, Illuminated Manuscripts, Illustration, Immersive Installations, Immersive Media, Impressionism, Indigenous Art, Infographics, Information Design, Infrared Photography, Ink Wash Painting, Inlay Art, Installation Art, Intaglio, Intarsia, Interactive Installations, Interactive Panoramas, Interior Design, Internet Art, Intervention Art, Islamic Geometric Art, Jewelry Design, Kinetic Architecture, Kinetic Art, Kinetic Sculpture, Kinetic Typography, Kintsugi, Kirigami, Kitsch Art, Lace Making, Land Art, Landscape Architecture, Landscape Painting, Laser Art, Letterpress, Lettrism, Light Art, Light Field Photography, Linocut, Lithography, Living Walls, Lost Wax Casting, Lowbrow Art, Lyrical Abstraction, Macro Photography, Magic Realism, Mail Art, Mandala Art, Manga Art, Mannerism, Marquetry, Massurrealism, Matte Painting, Maximalism, Mechanical Art, Medical Illustration, Meme Art, Metal Casting, Metal Leaf Art, Metalwork Art, Mezzotint, Microbial Art, Microscopic Art, Minimalism, Mixed Media, Mixed Reality Art, Monochrome Painting, Monotype, Monumental Art, Mosaic Art, Moss Art, Motion Graphics, Motion Graphics Art, Mughal Miniature, Multisensory Art, Mural Art, Murano Glass, Museum Design, Mythological Art, Narrative Art, Naïve Art, Neo-Dada, Neo-Expressionism, Neo-Geo, Neoclassicism, Net Art, Neural Style Transfer Art, Nordic Runes, Nouveau Réalisme, Op Art, Open Source Art, Optical Art, Organic Abstraction, Origami Architecture, Orphism, Outsider Art, Panorama Photography, Paper Engineering, Papercutting Art, Papier-mâché, Participatory Art, Pattern Art, Performance Art, Persian Miniature, Phenakistoscopes, Photomontage, Photorealism, Pixel Art, Plop Art, Pointillism, Political Art, Polymer Clay Sculpture, Pop Surrealism, Pop-Up Books, Porcelain Art, Portrait Painting, Post-Impressionism, Pre-Raphaelite Art, Procedural Art, Projection Art, Projection Mapping, Propaganda Art, Psychedelic Art, Public Art, Puppet Animation, Purism, Quilting Art, Raku Pottery, Rayonism, Realism, Recycled Art, Reduction Printing, Relational Aesthetics, Relief Carving, Relief Sculpture, Religious Art, Renaissance Art, Resin Casting, Retail Design, Reverse Graffiti, Ritual Art, Robotic Art, Rococo, Romanticism, Sacred Art, Sand Mandala, Sand Sculpture, Satirical Art, Science Fiction Art, Scientific Illustration, Screen Printing, Seascape Painting, Shadow Puppetry, Shamanic Art, Shanshui Painting, Shaped Canvas, Shibori, Silhouette Animation, Site-Specific Art, Situationist International, Social Practice Art, Software Art, Sots Art, Sound Art, Space Art, Stained Glass, Steam Engine Art, Sticker Art, Still Life Painting, Stone Balancing, Stone Carving, Stop Motion Animation, Street Art, Stuckism, Sumi-e, Sumi-e Ink Painting, Superflat, Suprematism, Surrealism, Sustainable Art, Symbolism, Symmetry Art, Synchromism, Tachisme, Tactical Media, Tantric Art, Tapestry Weaving, Tattoo Art, Tenebrism, Terra Cotta Art, Tessellation Art, Time-Lapse Photography, Topiary, Topiary Art, Totemic Art, Toyism, Transavantgarde, Tribal Art, Typography Art, Ukiyo-e, Ultraviolet Photography, Underwater Photography, Upcycling Art, Urban Design, Video Art, Video Installation, Virtual Reality Art, Virtual Tour Photography, Visionary Art, Vorticism, Voxel Art, Watercolor Painting, Wayfinding Design, Wheatpaste Art, Wildlife Art, Wire Sculpture, Wood Carving, Yarn Bombing, Zen Ink Painting, Zero Group, Zines, Zoetropes, Zombie Formalism");
+
+        private string GetRandomSampling()
+        {
+            var sampledAliases = new List<string>();
+            
+            var guys = new List<Alias>() {aggressivelyFantastic, forts, locations, compositionTypes, artStyles, weatherPhenomena };
+            guys = guys.OrderBy(x => Random.Shared.Next()).ToList();
+            foreach (var alias in guys)
+            {
+                var val = alias.GetRandomAlias(true);
+                if (!string.IsNullOrEmpty(val))
+                {
+                    sampledAliases.Add(val);
+                }
+                if (sampledAliases.Count >= 1)
+                {
+                    break;
+                }
+            }
+            return string.Join(", ", sampledAliases);
+        }
+
+        public Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
+        {
+            var randoms = GetRandomSampling();
+            var newVersion = $"'{pd.Prompt}' {randoms}";
+            pd.ReplacePrompt(newVersion, newVersion, TransformationType.Randomizer);
+
+            return Task.FromResult(true);
+        }
+    }
+}
diff --git a/MultiImageClient/promptTransformation/StylizerStep.cs b/MultiImageClient/promptTransformation/StylizerStep.cs
index 87486c4..936882c 100644
--- a/MultiImageClient/promptTransformation/StylizerStep.cs
+++ b/MultiImageClient/promptTransformation/StylizerStep.cs
@@ -1,33 +1,33 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Runtime;
-using System.Text;
-using System.Threading.Tasks;
-
-
-namespace MultiImageClient
-{
-
-    public class StylizerStep : ITransformationStep
-    {
-        private static Random random = new Random();
-
-        public string Name => nameof(StylizerStep);
-
-        public static string GetRandomArtist()
-        {
-            var artists = "3D model, A. R. Penck, A. Y. Jackson, Aardman Animations, Aaron Blaise, Aaron Douglas, Aaron James Draplin, Aaron Reed, Aaron Westerberg, Abanindranath Tagore, Abbas Kiarostami, Abbey Lossing, Aberdeen Bestiary, Aboudia, Abraham Ortelius, Abstract D'Oyley, Achille Castiglioni, Acrylic pour, Action movie, Adam Kubert, Adam Neate, Adam Zyglis, Adi Granov, Adolf Schreyer, Adriaen Brouwer, Adrian Frutiger, Adrianna Papell, Adrienne Segur, Adventure Time, Aelbert Cuyp, Aerial view, Aerin Lauder, African mask, Age of Empires, Agnieszka Lorek, Agostino Iacurci, Aibo, Aida Muluneh, Aimee Stewart, Aires Mateus, Aitor Throup, Alan Aldridge, Alan Fearnley, Alan Kitching, Alan Moir, Alasdair Gray, Alaya Gadeh, Albert Dros, Albert Dubout, Albert Edelfelt, Albert Irvin, Albert Koetsier, Albert Namatjira, Albert Oehlen, Albert Paley, Albert Renger-Patzsch, Alberta Ferretti, Alberto Campo Baeza, Alberto Vargas, Aldo Rossi, Ale Giorgini, Alec Monopoly, Alejandro Gonzalez Inarritu, Aleksi Briclot, Alessandro Mendini, Alex Chinneck, Alex Janvier, Alex Katz, Alex MacLean, Alex Majoli, Alex Raymond, Alexander Girard, Alexander Payne, Alexandre Deschaumes, Alexej von Jawlensky, Alexey Brodovitch, Alfonso Cuaron, Alfred Dehodencq, Alfred Sisley, Alfred Wallis, Alice Kettle, Alice Pike Barney, Alicja Kwade, Alida Akers, Alighiero Boetti, Aline Kominsky-Crumb, Alisa Burke, Allan Kaprow, Alma Thomas, Alphonse Bertillon, Alvaro Castagnet, Amanda Blake, Amanda Sage, Ambient lighting, Ambrogio Lorenzetti, American Girl doll, Ami James, Amigurumi, Amy Brown, Amy Giacomelli, Amy Sol, Ana Mendieta, Anaglyph colors, Andre Courreges, Andre Masson, Andrea Galvani, Andrea Palladio, Andrea Torres Balaguer, Andreas Rocha, Andrew Loomis, Andrew Read, Andrew Salgado, André Franquin, Andy Gilmore, Andy Kubert, Andy Marlette, Andy Rementer, Andy Russell, Angelica Kauffman, Angelo Donghia, Angie Lewin, Angry Birds, Anila Quayyum Agha, Animal Crossing, Animalier fashion, Anita Jeram, Ann Mortimer, Ann Telnaes, Ann Veronica Janssens, Anna Atkins, Anna Griffin, Anna Maria Garthwaite, Anna Pugh, Anna Silivonchik, Anna Sui, Annabelle doll, Anne Cotterill, Anne Gifford, Anne Redpath, Annette Schmucker, Annibale Carracci, Annie Ovenden, Anonymous mask, Anselm Feuerbach, Anthea Hamilton, Anthony Caro, Anthony Gerace, Anthony McCall, Antoine Bourdelle, Antoine Pevsner, Antonio Lopez, Antonio Stradivari, Antony Cairns, Arata Isozaki, Archibald Motley, Architectural plan, Arkanoid, Arnaldo Pomodoro, Arne Svenson, Arnold Genthe, Arnold Lobel, Art Baltazar, Arthur Claude Strachan, Arthur Frank Mathews, Arthur John Elsley, Arthur Melville, Arthur Suydam, Arthur Szyk, Artificial lighting, Aryz, Ashlar texture, Ashraful Arefin, Assemblage, Assembly drawing, Astrological chart, Astronomical chart, Asymmetrical composition, Audemars Piguet, Auguste Perret, Augustus Edwin John, Autochrome print, Autostereogram, Autumn, Axel Vervoordt, Axonometric view, Aztec mask, Azzedine Alaia, B. Kliban, Backlit, Bada Shanren, Baggy fashion, Barbara Chase-Riboud, Barbara Chichester, Barbara Kasten, Barbie, Barnett Newman, Barong mask, Barry Blitt, Barry Windsor-Smith, Bas Princen, Bastien Grivet, Baz Luhrmann, Beachwear fashion, Beatrice Alemagna, Beatriz Milhazes, Befana, Bela Kadar, Ben Eine, Ben Garrison, Ben Heine, Benin art, Benito Jacovitti, Benoit Paille, Bentwood, Bernard Leach, Bernard Plossu, Bernardo Bellotto, Bernd and Hilla Becher, Bernie Fuchs, Bertha Lum, Berthe Morisot, Beryl Cook, Beth Cavener, Beth Moon, Bethany Lowe, Betty Boop doll, Betty Woodman, Betye Saar, Beverly Joubert, Bijou Karman, Bill Amend, Bill Bell, Bill Cunningham, Bill Eppridge, Bill Leak, Bill Owens, Bill Plympton, Bill Schorr, Bill Willingham, Billie Tsien, Billy Wilder, BioShock, Bioluminescent colors, Bjarne Melgaard, Black-and-white colors, Blade Runner, Blek le Rat, Blizzard, Blue Sky Animation Studio, Blue hour, Board game, Bob Coonts, Bob Englehart, Bob Kane, Bob Mackie, Bob Peak, Bob Pepper, Bob Staake, Bob the Builder, Bonnie Marris, Book of Kells, Boris Groh, Boris Mikhailov, Bottom view, Bouchra Jarrar, Brandon Kidwell, Bratz doll, Brent Stirton, Brian Michael Bendis, Brian Stelfreeze, Brom, Bruce McLean, Bruce Onobrakpeya, Buffy the Vampire Slayer, Bumpy texture, Bunny Williams, Bunraku, Butch Hartman, Buzz Lightyear, Byzantine icon, CAD drawing, CFA Voysey, Cake design, Call of Duty, Cameo, Camilla d'Errico, Camille Rose Garcia, Candice Olson, Candlelit, Capability Brown, Carel Fabritius, Carey Chen, Caricature, Carl Brenders, Carl Mydans, Carl Wilhelmson, Carlo Dolci, Carlo Scarpa, Carlos Latuff, Carlos Schwabe, Carly Cushnie, Carmen Herrera, Carol Hagan, Carole Feuerman, Carole Spandau, Carolee Schneemann, Caroll Spinney, Carolyn Blish, Carrie Graber, Carsten Holler, Carsten Witte, Cartography, Casey Baugh, Cassius Marcellus Coolidge, Cath Kidston, Catherine Abel, Catherine Holman, Catherine Opie, Catherine Pooler, Cathy Hegman, Cathy Horvath Buchanan, Cathy Locke, Cathy Wilcox, Cathy Wilkes, Catrin Welz-Stein, Cecil Aldin, Cecil B. DeMille, Cecil Beaton, Cecil Touchon, Cecilia Beaux, Cecilie Manz, Cellular diagram, Chad Dutson, Chad Knight, Chantal Joffe, Charles Bibbs, Charles Burton Barber, Charles Conder, Charles Courtney Curran, Charles Dana Gibson, Charles Dwyer, Charles Eames, Charles Fazzino, Charles Ginner, Charles Gleyre, Charles Gwathmey, Charles Le Brun, Charles Marville, Charles Maurice Detmold, Charles Reiffel, Charles Rennie Mackintosh, Charles Robinson, Charles Sheeler, Charles Spencelayh, Charles Tunnicliffe, Charles White, Charles Wysocki, Charles-Amable Lenoir, Charles-Andre van Loo, Charles-Francois Daubigny, Charley Harper, Charley Toorop, Charlie Adlard, Charline von Heyl, Charlotte Perriand, Charred, Chemical structure, Chen Yifei, Chen Zhen, Chicano art, Chien Chung-Wei, Chiho Aoshima, Childe Hassam, Chip Zdarsky, Chris Burden, Chris Claremont, Chris Johanson, Chris Leib, Chris Ryniak, Chris Samnee, Chris Sanders, Chris Ware, Christi Belcourt, Christian Coigny, Christian Krohg, Christian Louboutin, Christian Marclay, Christian Riese Lassen, Christian Tagliavini, Christine Comyn, Christine Ellger, Christo, Christoffer Relander, Christophe Staelens, Christophe Vacher, Christopher Bucklow, Christopher Corr, Christopher Shy, Christopher Wren, Christy Lee Rogers, Christy Tomlinson, Chrome colors, Chuck Jones, Chuck Sperry, Cimabue, Cinematic lighting, Circuit diagram, Cirque du Soleil, City of God, City plan, Claes Oldenburg, Claire Basler, Claire Droppert, Claire Wendling, Clara Peeters, Clare Elsaesser, Clarence Gagnon, Clark Little, Claude Lorrain, Claude Parent, Claude-Joseph Vernet, Claudia Rogge, Claudia Tremblay, Claudio Silvestrin, Clay Bennett, Clay Mann, Clayton Crain, Clemens Ascher, Cleon Peterson, Cleve Gray, Cliff Chiang, Clifford Coffin, Clifford Harper, Clifford Possum Tjapaltjarri, Climate history graph, Clive Barker, Close-up view, Cluttered composition, Clyfford Still, Coat of Arms, Codex Mendoza, Codex Sinaiticus, Cody Ellingham, Colin Campbell Cooper, Colin McCahon, Collagraph, Color field painting, Coloring-in sheet, Colossal scale, Comedy movie, Comfy atmosphere, Command & Conquer, Commedia dell'Arte, Commedia dell'Arte mask, Complementary colors, Conor Harrington, Conrad Shawcross, Constance Guisset, Constance Spry, Constantin Brancusi, Constantin Kousnetzoff, Contour plot, Contrasted lighting, Cool colors, Coordinate system paper, Copperplate engraving, Corey Arnold, Corn husk doll, Cornell Capa, Counter-Strike, Cracked surface, Craigie Aitchison, Craquelure, Crayon Shin-chan, Crinkled texture, Cristina Coral, Cristina McAllister, Cross-section diagram, Cross-section plan, Csaba Markus, Cubism, Cuneiform, Cutaway view, Cy Twombly, D. W. Griffith, DAIN, DALeast, Daarken, Daisuke Yokota, Dan Abnett, Dan Brereton, Dan Graham, Dan Povenmire, Dan Slott, Dan Spiegle, Dan Witz, Dana Trippe, Danh Vo, Daniel Buren, Daniel Eskridge, Daniel Garber, Daniel Kordan, Danny Clinch, Danny O'Connor, Dante Gabriel Rossetti, Daphne Odjig, Darek Zabrocki, Daria Endresen, Daria Petrilli, Dariusz Klimczak, Dark atmosphere, Dark foreboding colors, Daron Nefcy, Darrell K. Sweet, Daryl Cagle, Dashiki fashion, Data visualization, Dav Pilkey, Dave Coverly, Dave Granlund, Dave Heath, Dave Sim, Dave Stevens, Dave Whamond, David A. Hardy, David Adjaye, David Aja, David Alfaro Siqueiros, David Altmejd, David Bellemere, David Bomberg, David Bowers, David Brayne, David Bromley, David Brown Milne, David Burnett, David Cerny, David Choe, David Cox, David Downton, David Drebin, David Driskell, David Goldblatt, David Hammons, David Hettinger, David Horsey, David Hurn, David Inshaw, David Keochkerian, David Lean, David Ligare, David Lloyd Glover, David Mann, David Martiashvili, David Michael Bowers, David Mould, David Nash, David Octavius Hill, David Palumbo, David Plowden, David Pope, David Rees, David Renshaw, David Roberts, David Rowe, David Salle, David Seymour, David Shepherd, David Sims, David Teniers the Younger, David Trubridge, David Tutwiler, David Uhl, David Walker, David Welker, David Wightman, David Wilkie, David Yarrow, Davide Sorrenti, Dawn, Dayak art, Dead Cells, Dean Crouser, Deana Lawson, Debbie Criswell, Deborah Azzopardi, Deborah Turbeville, Declan Shalvey, DeepDream, Deirdre Sullivan-Beeman, Del Kathryn Barton, Delftware, Delphin Enjolras, Delphine Diallo, Demetre Chiparus, Dennis Oppenheim, Dennis Stock, Denys Lasdun, Depressed atmosphere, Derek Gores, Derek Jarman, Desaturated colors, Detailed, Diablo, Diagonal composition, Dick Bruna, Dick Giordano, Dick Sprang, Didier Lourenco, Diego Dayer, Dieter Rams, Diffused lighting, Digimon, Dim lighting, Dima Dmitriev, Dimitry Roulland, Dina Wakley, Dion Lee, Disco Elysium, Disney Studio, Distressed Photo, Doctor Who, Dod Procter, Dogon art, Domenichino, Don Blanding, Don Dixon, Don Heck, Don Hertzfeldt, Donald Judd, Donald Zolan, Donatella Versace, Donkey Kong, Donna Huanca, Doodle, Doom, Dora Carrington, Dorina Costras, Doris Salcedo, Dorothea Sharp, Dorothy Draper, Dorothy Johnstone, Doug Aitken, Doug Chinnery, Doug Hyde, Doug Marlette, Doug TenNapel, Douglas Gordon, Douglas Kirkland, Douglas Smith, Dr. Seuss, Dragon Quest: The Adventure of Dai, Drama movie, Dramatic lighting, Dran, Drawing grid paper, Dreamworks, Dreamy atmosphere, Dries van Noten, Duane Hanson, Duccio, Dungeons and Dragons, Duotone colors, Dusk, Duy Huynh, Dwight William Tryon, E. J. Bellocq, Earle Bergey, Earthy tones, Eastman Johnson, Ebru Sidar, Ed Hardy, Ed McGuinness, Ed Templeton, Eddie Colla, Edgar Maxence, Edith Head, Edmund Tarbell, Edmund de Waal, Edoardo Tresoldi, Edouard Boubat, Edouard Cortes, Eduard Gaertner, Eduard Veith, Eduardo Chillida, Eduardo Paolozzi, Eduardo Souto Moura, Edward Ardizzone, Edward Atkinson Hornel, Edward Bawden, Edward Blair Wilkins, Edward Cucuel, Edward Henry Potthast, Edward Julius Detmold, Edward Okun, Edward Poynter, Edward Wadsworth, Edwin Henry Landseer, Edwin Landseer, Edwin Lord Weeks, Edwin Lutyens, Eerie atmosphere, Eero Aarnio, Egyptian funeral mask, Eiko Ojala, Eikoh Hosoe, Eileen Gray, Elaine Lustig Cohen, Eleanor Antin, Eleanor Vere Boyle, Electrical layout, Electromagnetic spectrum chart, Elena Kotliarker, Elevation drawing, Elger Esser, Elia Kazan, Elia Locardi, Elihu Vedder, Elisabeth Fredriksson, Elisabeth Sonrel, Elisabeth Vigee Le Brun, Elise Palmigiani, Elizabeth Murray, Elizabeth Nourse, Elizabeth Peyton, Elizabeth Shippen Green, Elke Vogelsang, Ellsworth Kelly, Elmer Bischoff, Elsa Schiaparelli, Emanuel Ungaro, Embossed texture, Emil Alzamora, Emil Carlsen, Emil Melmoth, Emile Claus, Emile Vernon, Emiliano Ponzi, Emily Balivet, Emily Carr, Emily Henderson, Emily Kame Kngwarreye, Emmanuelle Moureaux, Emory Douglas, Encaustic tile, Enid Blyton, Epic scale, Epic view, Erez Marom, Eric Cahan, Eric Canete, Eric Carle, Eric Dowdle, Eric Drooker, Eric Fischl, Eric Gill, Eric Lacombe, Eric Lafforgue, Eric Ravilious, Eric Standley, Erich Hartmann, Erik Jones, Erik Kessels, Erin Gregory, Ernest Lawson, Ernie Ball, Ernie Barnes, Ernst Fuchs, Ernst Lubitsch, Ernst Wilhelm Nay, Erte, Erwin Redl, Esad Ribic, Esaias van de Velde, Esao Andrews, Euan Uglow, Eudora Welty, Eugen Chisnicean, Eugene Boudin, Eugene Delacroix, Eugene Galien-Laloue, Eugene Grasset, Eugene Richards, Eugene de Blaas, Eustache Le Sueur, Eva Hesse, Eva Rothschild, Eve Arnold, Eve Ventrue, Evelyn De Morgan, Evelyn Dunbar, Everett Shinn, Evgeni Dinev, Evgeni Gordiets, Evgeny Lushpin, Exploded assembly, Exploded view, Extreme caricature, Exuberant atmosphere, Ezra Jack Keats, Ezra Petronio, F. C. Gundlach, Faberge egg, Fabian Oefner, Fabienne Rivory, Fabio Hurtado, Facepaint, Fairfield Porter, Faith47, Faiza Maghni, Fallout 4, Family Guy, Fantasy movie, Fatima Ronquillo, Fausto Puglisi, Federico Babina, Felice Beato, Felice Varini, Felix Gonzalez-Torres, Felix Vallotton, Ferdinand Hodler, Ferdinand Knab, Ferdinando Scianna, Fern Isabel Coppedge, Fernand Fonssagrives, Fernando Amorsolo, Fernando Botero, Ferris Plock, Ferrofluid, Festima mask, Fiber optic light painting, Fibrous texture, Filigree, Filip Hodas, Filippo Minelli, Fine art etching, Finn Juhl, Finnian MacManus, Fintan Magee, Firelit, First-person view, Fish scale texture, Fish-eye view, Fitz Henry Lane, Flamboyant atmosphere, Flashy colors, Flora Waycott, Florence Broadhurst, Florence Harrison, Florence Knoll, Florian Nicolle, Florine Stettheimer, Fluffy texture, Fluorescent colors, Foggy, Food photography, Footage from CCTV, Found object art, Fra Angelico, Fragmented composition, Frances Brundage, Frances Hodgkins, Frances MacDonald, Frances Tipton Hunter, Francesco Albani, Francesco Borromini, Francesco Clemente, Francesco Guardi, Francesco Solimena, Francis Bernard Dicksee, Francis Manapul, Francis Newton Souza, Francisco de Zurbaran, Franck Bohbot, Franco Fontana, Francois Morellet, Francois Schuiten, Francois Truffaut, Francois-Xavier Lalanne, Francoise Nielly, Frank Bowling, Frank Bramley, Frank Cadogan Cowper, Frank Capra, Frank Holl, Frank McCarthy, Frank Weston Benson, Frankenweenie, Franklin Booth, Franklin Carmichael, Frans Floris, Frans Francken the Younger, Frans Hals, Frans Masereel, Frantisek Kupka, Franz von Stuck, Fred Benes, Fred Calleri, Fred Herzog, Fred Sandback, Fred Stein, Fred Tomaselli, Frederic Bazille, Frederic Remington, Frederic William Burton, Frederick Arthur Bridgman, Frederick Carl Frieseke, Frederick Catherwood, Frederick Cayley Robinson, Frederick Hammersley, Frederick John Kiesler, Frederick McCubbin, Frederick Varley, Friedel Dzubas, FriendsWithYou, Fritz Hansen, Fritz Zuber-Buhler, Frontal view, Fujifilm instax, Full body-height view, Fumihiko Maki, Functional block diagram, Furby, Furry texture, Gabor Csupo, Gabriel Isak, Gabriele Dell'otto, Gail Albert Halaban, Gail Gibbons, Gainax, Gantt chart, Garance Dore, Garth Ennis, Gary Baseman, Gary Benfield, Gary Hume, Gary Petersen, Gary Varvel, Gaston Le Touche, Gene Colan, Gene Davis, Genealogical tree, Genetic map, Gennady Spirin, Genndy Tartakovsky, Gentile Bellini, Geoffrey Beene, Geoglyph, Geological cross-section, George Biddle, George Caleb Bingham, George Callaghan, George Catlin, George Clausen, George Condo, George Cruikshank, George Cukor, George Digalakis, George Eastman, George Goodwin Kilburne, George Henry Boughton, George Henry Yewell, George Hoyningen-Huene, George Nakashima, George Nelson, George Pemba, George Perez, George Petty, George Platt Lynes, George Rodrigue, George Romney, George Segal, George Shaw, George Stefanescu, George Stubbs, George Tice, George Underwood, George Yepes, Georges Clairin, Georges Dambier, Georges Hobeika, Georges Lacombe, Georges Lemmen, Georges Lepape, Georges Rochegrosse, Georges Rousse, Georges Seurat, Georges de La Tour, Georgia O'Keeffe, Georgy Kurasov, Gerald Harvey Jones, Gerard ter Borch, Gerd Arntz, Gerda Wegener, Gered Mankowitz, Germaine Krull, Germaine Richier, Gerrit Dou, Gerrit Rietveld, Gerry Anderson, Gerry Johansson, Gertrude Jekyll, Ghada Amer, Giambattista Valli, Gian Lorenzo Bernini, Gianfranco Ferre, Gianni Berengo Gardin, Gifford Beal, Gil Bruvel, Gilbert Garcin, Gilbert Shelton, Gilbert Stuart, Gilbert Williams, Gillian Wearing, Ginette Callaway, Gio Ponti, Giorgetto Giugiaro, Giorgio Morandi, Giorgio Vasari, Giorgio de Chirico, Giotto, Giovanni Battista Piranesi, Giovanni Battista Tiepolo, Giovanni Battista Venanzi, Giovanni Boldini, Giovanni Domenico Tiepolo, Giovanni Segantini, Giuseppe Cristiano, Giuseppe Penone, Giuseppe de Nittis, Glam Rock fashion, Glen Orbik, Glenn Fabry, Glenn Ligon, Glenn Murcutt, Glitchy, Gloomy atmosphere, Glossy texture, Gnaga mask, GodMachine, Godfried Schalcken, Golden hour, Golgo 13, Gonzalo Borondo, Googie architecture, Google Street View, Gordon Matta-Clark, Goro Fujita, Grace Cossington Smith, Graciela Rodo Boulanger, Gradient colors, Graham Gercken, Graham Sutherland, Granblue Fantasy, Grandma Moses, Grant Morrison, Granular texture, Graph paper, Gravity Falls, Gray Malin, Gray Morrow, Greaser fashion, Greek Theatre mask, Greg Capullo, Greg Gorman, Greg Hildebrandt, Greg Land, Greg Manchess, Greg Nicotero, Greg Olsen, Greg Rucka, Greg Simkins, Greg Staples, Greg Tocchini, Grete Stern, Grigory Gluckmann, Grinling Gibbons, Gritty texture, Ground-level view, Guercino, Guerrilla Girls, Guido Argentini, Guido Borelli da Caluso, Guido Crepax, Guido Guidi, Guido Reni, Guido van Helten, Guild Wars 2, Guillaume Corneille, Guillaume Seignac, Guillem H. Pongiluppi, Gum Bichromate, Gunther Uecker, Gus Van Sant, Gustaf Tenggren, Gustav Bauernfeind, Gustav Stickley, Gustav-Adolf Mossa, Gustave Baumann, Gustave Boulanger, Gustave Courbet, Gustave De Smet, Gustave Eiffel, Gustave Le Gray, Gustave Loiseau, Gustave Moreau, Gustave de Jonghe, Guweiz, Guy Aitchison, Guy Buffet, Guy Carleton Wiggins, Guy Coheleach, Guy Delisle, Guy Denning, Guy Fawkes mask, Guy Harvey, Guy Maddin, Guy Rose, Gyorgy Kepes, Gyotaku, H. A. Brendekilde, H. P. Lovecraft, HENSE, Haas Brothers, Haibane Renmei, Haida art, Half-Life, Halo, Hamtaro, Hanafuda card, Haniwa, Hanna-Barbera, Hannah Dale, Hannah Hoch, Hanne Darboven, Hans Erni, Hans Feurer, Hans Heysen, Hans Hofmann, Hans Hollein, Hans Memling, Hans Op de Beeck, Hans Wegner, Harley Earl, Harmony Korine, Harold Cazneaux, Harold Gilman, Haroon Mirza, Haroshi, Harriet Backer, Harriet Lee-Merrion, Harrison Fisher, Harry Anderson, Harry Bertoia, Harry Furniss, Harry Siddons Mowbray, Harry Watrous, Harry Weisburd, Harsh lighting, Harumi Hironaka, Harun Farocki, Harvey Dunn, Hassan Hajjaj, Hasui Kawase, Hatsune Miku, Hayv Kahraman, Headgear, Heat map, Heather Galler, Hebru Brantley, Hector Guimard, Hedi Slimane, Hedi Xandt, Heidi Swapp, Heinrich Kley, Heinz Mack, Helen Allingham, Helen Cottle, Helen Dardik, Helen Frankenthaler, Helen Lundeberg, Helen Musselwhite, Helene Beland, Helene Schjerfbeck, Helio Oiticica, Hello Kitty, Helmut Lang, Hendrick Avercamp, Hendrick ter Brugghen, Hendrik Kerstens, Hengki Koentjoro, Henning Larsen, Henri Fantin-Latour, Henri Gaudier Brzeska, Henri Le Sidaner, Henri Lebasque, Henri Manguin, Henri Michaux, Henri-Jules-Jean Geoffroy, Henrietta Harris, Henriette Ronner-Knip, Henrik Fisker, Henry Asencio, Henry Justice Ford, Henry Moret, Henry Roderick Newman, Henry Scott Tuke, Henry Selick, Henry Wessel, Herakut, Heraldry, Herb Trimpe, Herbert Bayer, Herman Brood, Herman Miller, Hermann Nitsch, Herringbone texture, Herve Leger, Herzog & de Meuron, Heywood Hardy, Hideo Kojima, Hieratic script, High key photography, Hilla Becher, Hina doll, Hipgnosis, Hiro Mashima, Hiroshi Nagai, Hiroshi Yoshida, History movie, Hito Steyerl, Holly Andres, Holly Hobbie, Holton Rower, Hong-Oai Don, Honore Daumier, Hopi art, Horror movie, Howard Arkley, Howard Behrens, Howard Carter, Howard Chandler Christy, Howard Chaykin, Howard David Johnson, Howard Pyle, Howard Schatz, Howard Terpning, Howardena Pindell, Hubert Robert, Hudoq mask, Hugh Ferriss, Hugues Merle, Huichol art, Huma Bhabha, Humberto Ramos, Humphry Repton, Hurricane, Ian Howorth, Ian Miller, Idris Khan, Igor Mitoraj, Igor Morski, Igor Zenin, Ikenaga Yasunari, Ildiko Neer, Illuminated manuscript, Imants Tillers, Impasto, Inca art, Incandescent colors, India Mahdavi, Indonesian mask, Inessa Garmash, Inez and Vinoodh, Inge Morath, Ingrid Baars, Intaglio, Intarsia woodworking, Intricate, Inuit art, Iren Horrors, Irene Sheri Vishnevskaya, Iridescent colors, Iris Scott, Irma Stern, Irmgard Schoendorf Welch, Irving Amen, Isaac Cruikshank, Isaac Mizrahi, Isabel Toledo, Isabelle Arsenault, Isabelle de Borchgrave, Isao Takahata, Isay Weinfeld, Isekai anime style, Isometric projection, Ithell Colquhoun, Ito Jakuchu, Itzchak Tarkay, Iurie Belegurschi, Ivan Brunetti, Ivan Chermayeff, Ivan Kramskoi, J. E. H. MacDonald, J. J. Abrams, J. J. Grandville, J. Scott Campbell, J.M.W. Turner, J.P. Targete, Jack Butler Yeats, Jack Davison, Jack Gaughan, Jack Kirby, Jack Sorenson, Jack Ziegler, Jackie Morris, Jackie Ormes, Jacob Aue Sobol, Jacob Epstein, Jacob Jordaens, Jacob Philipp Hackert, Jacob Riis, Jacob van Ruisdael, Jacopo Bassano, Jacques Amans, Jacques Lipchitz, Jacques Majorelle, Jacques Monory, Jacques Rivette, Jaehyo Lee, Jaime Hayon, Jama Jurabaev, Jamel Shabazz, James Abbott McNeill Whistler, James Avati, James Avery, James Bama, James Barnor, James Brooks, James Casebere, James Dietz, James Dyson, James Ensor, James Gillray, James Gunn, James Guthrie, James Jean, James Nizam, James Paick, James R. Eads, James Rosenquist, James Sant, James Thurber, James Tissot, James Turrell, James Wan, James Welling, James Wells Champney, James Wilson Morrice, Jamie Heiden, Jamini Roy, Jan Berenstain, Jan Brett, Jan Davidsz de Heem, Jan Fabre, Jan Gossaert, Jan Mankes, Jan Matson, Jan Toorop, Jan Urschel, Jan van Haasteren, Jan van Kessel the Elder, Jan van Scorel, Jane Burch Cochran, Jane Newland, Jane Small, Janet Delaney, Janet Echelman, Janine Antoni, Jannis Kounellis, Januz Miralles, Jarek Kubicki, Jarek Puczel, Jason Edmiston, Jason Freeny, Jason Middlebrook, Jason deCaires Taylor, Jasper Francis Cropsey, Jaume Capdevila, Jaume Plensa, Javier Mariscal, Javiera Estrada, Jay DeFeo, Jean Arp, Jean Beraud, Jean Dubuffet, Jean Fouquet, Jean Jullien, Jean Metzinger, Jean Patou, Jean Prouve, Jean-Antoine Houdon, Jean-Antoine Watteau, Jean-Baptiste Carpeaux, Jean-Baptiste Corot, Jean-Baptiste Greuze, Jean-Baptiste-Simeon Chardin, Jean-Etienne Liotard, Jean-Gabriel Domergue, Jean-Honore Fragonard, Jean-Joseph Benjamin-Constant, Jean-Leon Gerome, Jean-Louis Forain, Jean-Michel Frank, Jean-Paul Goude, Jean-Paul Riopelle, Jean-Philippe Delhomme, Jean-Pierre Gibrat, Jean-Sebastien Rossbach, Jeanine Michna-Bales, Jeanne Lanvin, Jeannette Guichard-Bunel, JeeYoung Lee, Jeff Kinney, Jeff Lemire, Jeff Soto, Jeffrey Milstein, Jeffrey Smart, Jeffrey T. Larson, Jen Bartel, Jen Sorensen, Jennifer Lommers, Jennifer Rubell, Jenny Frison, Jeppe Hein, Jeremiah Ketner, Jeremy Geddes, Jeremy Lipking, Jeremy Scott, Jerry N. Uelsmann, Jesper Ejsing, Jessica Backhaus, Jessica Drossin, Jessica Durrant, Jessica Galbreth, Jessica Roux, Jessica Stockholder, Jessie M. King, Jessie Willcox Smith, Jill Freedman, Jillian Tamaki, Jim Aparo, Jim Burns, Jim Cheung, Jim Daly, Jim Dine, Jim Fitzpatrick, Jim Hansel, Jim Holland, Jim Kazanjian, Jim Lambie, Jim Lee, Jim Starlin, Jim Warren, Jim Woodring, Jimmy Chin, Jimmy Marble, Jimmy Margulies, Jimmy Palmiotti, Jiro Kuwata, Jo Ann Callis, Jo Grundy, Joachim Beuckelaer, Joachim Patinir, Joachim Wtewael, Joan Cornella, Joan Eardley, Joan Mitchell, Joan Snyder, Joao Ruas, Joaquin Sorolla, Jocelyn Hobbie, Jock, Jody Bergsma, Joe Fenton, Joe Heller, Joe Jusko, Joe Madureira, Joe Quesada, Joe Webb, Joel Pett, Joel Rea, Joel Robison, Joel Shapiro, Joel Sternfeld, Joel-Peter Witkin, Joep Bertrams, Joep van Lieshout, Johan Messely, Johanna Basford, Johanna Gullichsen, Johannes Itten, Johannes VanDerBeek, Johfra Bosschart, John Anster Fitzgerald, John Atkinson Grimshaw, John Baldessari, John Batho, John Bellany, John Berkey, John Blanche, John Brack, John Bratby, John Burningham, John Butler Yeats, John Carpenter, John Cassaday, John Chamberlain, John Constable, John Crome, John Currin, John Darkow, John Divola, John Duncan, John Everett Millais, John Frederick Kensett, John Frederick Lewis, John George Brown, John Gould, John Gutmann, John Heartfield, John Hejduk, John Holcroft, John James Audubon, John Kricfalusi, John La Farge, John Larriva, John Lasseter, John Lautner, John Lavery, John Leech, John Lovett, John Lowrie Morrison, John Lurie, John Maler Collier, John Marin, John Martin, John Melhuish Strudwick, John Nash, John Olsen, John Paul Caponigro, John Perceval, John Philip Falter, John Piper, John Pitre, John Reuss, John Roddam Spencer Stanhope, John Ruskin, John Sell Cotman, John Singleton Copley, John Sloane, John Stezaker, John Tenniel, John Trumbull, John Twachtman, John William Godward, Johnathan Harris, Johnny Morant, Johnson Tsang, Jon Carling, Jon Foster, Jon Klassen, Jon Kudelka, Jon McNaught, Jon McNaughton, JonOne, Jonathan Adler, Jonathan Meese, Joost Swarte, Joram Roukes, Jordan Grimmer, Jordi Bernet, Jorge Maia, Joris Laarman, Jorn Utzon, Jos Collignon, Josan Gonzalez, Jose Guadalupe Posada, Jose Royo, Josef Frank, Josef Hoffmann, Josef Kote, Joseph Farquharson, Joseph Kosuth, Joseph Lorusso, Joseph Pennell, Joseph Stella, Josephus Laurentius Dyckmans, Josh Adamski, Josh Keyes, Josh Kirby, Joshua Reynolds, Joyful atmosphere, Juan Gris, Judith Clay, Judith Desrosiers, Judith Leyster, Judy Blame, Judy Dater, Juergen Teller, Jules Bastien-Lepage, Jules Breton, Jules Feiffer, Jules Olitski, Jules Pascin, Julian Beever, Julian Glander, Julian Opie, Julian Schnabel, Juliana Nan, Julie Arkell, Julie Paschkis, Julio Larraz, Julio Le Parc, Julius Leblanc Stewart, Junkanoo mask, Junya Ishigami, Jurassic Park, Jusepe de Ribera, Justin Gaffrey, Justin Gerard, Justin Roiland, Justina Blakeney, Justine Kurland, Kabuki, Kabuki mask, Kader Attia, Kaethe Butcher, Kaffe Fassett, Kamen Rider, Kanban wall, Kangra painting, Kansuke Yamamoto, Karel Appel, Karen Noles, Karen Tarlton, Karin Kuhlmann, Karl Knaths, Karl Schmidt-Rottluff, Karla Gerard, Kate Baylay, Kate Greenaway, Kate Leth, Kate Spade, Kathakali mask, Katharina Grosse, Kathrin Honesta, Kathrin Longhurst, Kathy Fornal, Katie Scott, Katsuya Terada, Katy Grannan, Katy Smail, Katya Gridneva, Kees van Dongen, Keiichi Tanaami, Keiji Inafune, Keisai Eisen, Kelley Jones, Kelly Beeman, Kelly Freas, Kelly Hoppen, Kelly McKernan, Kelly Wearstler, Ken Domon, Ken Fulk, Ken Sugimori, Kenneth Anger, Kenneth Josephson, Kenneth Noland, Kenneth Snelson, Kenojuak Ashevak, Kenro Izu, Kent Monkman, Kenzo, Kerby Rosanes, Kerem Beyit, Kerry James Marshall, Kestutis Kasparavicius, Kevin Carter, Kevin Maguire, Kevin McNeal, Kevin Nowlan, Kevin Siers, Kevin Sloan, Kevin Wada, Kewpie doll, Khokhloma, Kidrobot, Kilian Eng, Kim Keever, Kingdom Hearts, Kinuko Y. Craft, Kirlian photography, Kirsty Mitchell, Kishangarh painting, Kishin Shinoyama, Kitty Lange Kielland, Klaus Frahm, Knox Martin, Kokeshi doll, Koloman Moser, Konstantin Chaykin, Konstantin Grcic, Konstantin Razumov, Koson Ohara, Kourtney Roy, Krampusnacht festival mask, Krenz Cushart, Kris Knight, Kris Van Assche, Kristina Makeeva, Kubo And The Two Strings, Kukeri, Kurt Geiger, Kurt Hutton, Kurt Wenner, Kurzgesagt, Kuzma Petrov-Vodkin, Kwakiutl mask, Kyffin Williams, Kylli Sparre, Kyoto Animation studio, LaToya Ruby Frazier, Ladislav Sutnar, Lalaloopsy, Lalla Essaydi, Lantern-lit, Larry Bell, Larry MacDougall, Larry Towell, Larry Zox, Lascaux, Latex texture, Lath art, Laura Ashley, Laura Callaghan, Laura Iverson, Laura Makabresku, Laurent Parcelier, Laurie Lipton, Laurie Simmons, Lawren Harris, Lawrence Weiner, Layered composition, Layered paper, LeRoy Grannis, Lee Bermejo, Lee Friedlander, Lee Jae-Hyo, Lee Krasner, Lee Middleton doll, Lee Mullican, Legend of the Cryptids, Leigh Bowery, Len Lye, Leo Caillard, Leo Fender, Leo Villareal, Leo and Diane Dillon, Leon Bonnat, Leon Golub, Leon Kossoff, Leon Tukker, Leonard Freed, Les Paul, Leszek Bujnowski, Levi Strauss, Lewis Morley, Li Hongbo, Li Wei, Liam Brazier, Liam Gillick, Lieke Van der Vorst, Light atmosphere, Light colors, Lilia Alvarado, Lilla Cabot Perry, Lim Heng Swee, Limbourg brothers, Lina Bo Bardi, Linda Ravenscroft, Lindisfarne Gospels, Linnea Strid, Lisa Congdon, Lisa Golightly, Lisa Graa Jensen, Lisa Holloway, Lisa Parker, Lisa Pressman, Lisbeth Zwerger, Lisi Martin, Lit by lightning, Lita Cabellut, Lite Brite art, Liu Bolin, Lizzie Fitch, Lois Dodd, Lois Greenfield, Long exposure photography, Loomis Dean, Looney Tunes, Loretta Lux, Lori Earley, Lori Nix, Lorser Feitelson, Louella Pettway, Loui Jover, Louis Comfort Tiffany, Louis Faurer, Louis Janmot, Louis Marcoussis, Louis Rhead, Louis Ritman, Louis Stettner, Louis Valtat, Louise Balaam, Louise Dahl-Wolfe, Louise Lawler, Louise McNaught, Louise Nevelson, Lovis Corinth, Low key photography, Low vantage point view, Low-hanging fog, Lowell Herrero, Lubaina Himid, Luc Tuymans, Luca Giordano, Luca della Robbia, Lucas Cranach the Elder, Lucas Cranach the Younger, Lucas Foglia, Lucha Libre mask, Lucia Heffernan, Lucia Rafanelli, Lucie Rie, Lucien Clergue, Lucien Pissarro, Lucienne Day, Lucio Fontana, Lucy Glendinning, Lucy Grossmith, Lucy Madox Brown, Ludwig Deutsch, Ludwig Favre, Ludwig Meidner, Luigi Ghirri, Luigi Loir, Luigi Russolo, Luis Barragan, Luis Bunuel, Luis Ricardo Falero, Luke Chueh, Luke Jerram, Luminous colors, Lygia Clark, Lynd Ward, Lynda Barry, Lynette Yiadom-Boakye, Lynn Hershman Leeson, Lyonel Feininger, MVRDV, Mab Graves, Mabel Lucie Attwell, Maciej Kuciara, Macro view, Madeleine Vionnet, Madeline Weinrib, Magali Villeneuve, Magdalena Abakanowicz, Maggie Holmes, Maggie Taylor, Magic: The Gathering, Magical atmosphere, Mai Thu Perret, Maira Kalman, Malcolm Liepke, Malika Favre, Mamoru Hosoda, Mana Neyestani, Maneki-neko, Manfred Kielnhofer, Manolo Blahnik, Maori art, Map, Maquette, Marbled texture, Marc Adamus, Marc Allante, Marc Johns, Marc Muench, Marc Newson, Marc Riboud, Marcantonio Raimondi, Marcel Duchamp, Marcel Janco, Marcel Mouly, Marcello Barenghi, Marco Mazzoni, Mardi gras mask, Margaret Macdonald Mackintosh, Margaret Tarrant, Margarita Kareva, Maria Sibylla Merian, Marian Kamensky, Marianne North, Marianne von Werefkin, Mariano Vivanco, Marie Spartali Stillman, Mariko Mori, Marimekko, Marine photography, Marino Marini, Mario Botta, Mario Buatta, Mario Sorrenti, Marion Peck, Marjolein Bastin, Mark Bagley, Mark Brooks, Mark Fiore, Mark Grotjahn, Mark Hearld, Mark Knight, Mark Manders, Mark Riddick, Mark Ruwedel, Mark Schultz, Mark Shaw, Mark Spain, Mark Waid, Mark Wallinger, Mark di Suvero, Marsden Hartley, Marsel van Oosten, Marta Abad Blay, Martin Deschambault, Martin Johnson Heade, Martin Lewis, Martin Margiela, Martin Rowson, Martin Schongauer, Martina Hoogland Ivanow, Martyn Turner, Marvel, Mary Anning, Mary Cassatt, Mary Charles, Mary Delany, Mary Engelbreit, Mary Quant, Mary Sibande, Masaaki Sasamoto, Masaaki Yuasa, Masahisa Fukase, Masamune Shirow, Masao Yamamoto, Mass Effect, Massimiliano Fuksas, Massimo Vitali, Massive scale, Mat Collishaw, Mati Klarwein, Matt Adnate, Matt Furie, Matt Mahurin, Matt Rhodes, Matt Sesow, Matt Wuerker, Matte texture, Matteo Massagrande, Matthaus Merian the Elder, Matthew Pillsbury, Matthias Grunewald, Matthias Haker, Matthias Heiderich, Maud Humphrey, Maud Lewis, Max Beckmann, Max Bill, Max Gimblett, Max Pechstein, Max Rive, Max Weber, Maximalist composition, Maxime Maufra, Maximilien Luce, Maya Deren, Maya Lin, Mayan art, Maynard Dixon, Mead Schaeffer, Medieval Bestiary, Medieval Codex, Mega man, Megan Hess, Megan Massacre, Meghan Howland, Mehndi, Meiji Period photography, Meindert Hobbema, Mel Bochner, Mel Ramos, Melancholic atmosphere, Melissa Launay, Melozzo da Forli, Melvin Sokolsky, Memphis design, Meredith Frampton, Meredith Marsone, Mert Alas, Mert Otsamo, Mert and Marcus, Metal Gear Solid, Metallic colors, Mexican muralism, Miami Vice, Michael Ancher, Michael Aram, Michael Borremans, Michael Breitung, Michael Carson, Michael Cheval, Michael Cho, Michael Craig-Martin, Michael Creese, Michael Eastman, Michael Garmash, Michael Heizer, Michael Humphries, Michael Hussar, Michael Hutter, Michael Kidner, Michael Lang, Michael Leunig, Michael Page, Michael Parkes, Michael Ramirez, Michael Shapcott, Michael Sowa, Michael Sweerts, Michael Thonet, Michael de Adder, Michel Comte, Michelangelo, Micrographia, Mid-century modern, Midday, Miffy, Miho Hirano, Mika Ninagawa, Mikalojus Konstantinas Ciurlionis, Mike Luckovich, Mike Peters, Mike Zeck, Miles Redd, Millie Marotta, Millimeter squared paper, Milo Manara, Milt Kahl, Milton Avery, Mindy Sommers, Minecraft, Miniature scale, Minimalist composition, Minjae Lee, Minkowski diagram, Minoan art, Minor Martin White, Mira Schendel, Miroslav Sasek, Misty, Mitch Dobrowner, Mitsumasa Anno, Miyamoto Musashi, Mo Willems, Moche art, Moebius, Moises Levy, Molang, Molecular model, Molly Brett, Molly Harrison, Momiji Message Dolls, Mondo Guerra, Monica Blatton, Monica Bonvicini, Monique Lhullier, Monir Shahroudy Farmanfarmaian, Monochrome colors, Monokubo, Moonlit, Morag Myerscough, Morgan Maassen, Morgan Weistling, Morphsuits, Mort Kunstler, Mort Walker, Mortal Kombat, Mothmeister, Motion blur, Moxie Girlz, Mr. Brainwash, Mr. Potato Head, Muted colors, My Little Pony, Nacho Carbonell, Naeem Khan, Namibian Ovambo mask, Nancy Noel, Naoya Hatakeyama, Narayan Shridhar Bendre, Natalia Goncharova, Nate Beeler, Nate Berkus, Nathalie Du Pasquier, National Geographic magazine, Natural lighting, Naum Gabo, Navid Baraty, Nazca lines, Ndebele art, Neil Blevins, Neil Harbisson, Neil Krug, Neil Leifer, Nendoroid, Neon colors, Netsuke, Neutral Color Scheme, Nicholas Alan Cope, Nicholas Hilliard, Nick Anderson, Nick Gentry, Nick Park, Nickelodeon, Nickolas Muray, Nico Delort, Nicolai Fechin, Nicolas Bruno, Nicolas Delort, Nicolas Mignard, Nicolas Poussin, Nicolas de Stael, Nicole Eisenman, Nigel van Wieck, Night, Nike Savvas, Niki Boon, Niki de Saint Phalle, Nina Chanel Abney, Nina Leen, Nina Ricci, Nirav Patel, Njideka Akunyili Crosby, Nkisi figure, Noah Bradley, Nobuo Sekine, Noell Oszvald, Noemie Goudal, Noh Theater mask, Nona Faustine, Nona Limmen, Nora Heysen, Noriyoshi Ohrai, Norm Breyfogle, Norman Bel Geddes, Norman Bluhm, Norman Cornish, Norman Lewis, Norman Lindsay, Norman McLaren, Norman Parkinson, Northern lights, Norval Morrisseau, Nuragic mask, Nuremberg Chronicle, Nychos, Odilon Redon, Ogham, Oily texture, Ok go, Oleg Cassini, Oleg Zhivetin, Olek, Olha Darchuk, Olimpia Zagnoli, Oliver Stone, Olivier Coipel, Olivier Mosset, Olivier Theyskens, Oliviero Toscani, Olly Moss, Olmec art, Omar Galliani, Omar Victor Diop, On Kawara, Ori Gersht, Orla Kiely, Orlan, Orthographic view, Oscar Tuazon, Osman Hamdi Bey, Oswald Achenbach, Otto Schmidt, Ottoman art, Outsider art, Overhead view, Oxana Zaika, PJ Crook, Pablo Lobato, Pac-Man, Pacita Abad, Paco Rabanne, Paige Evans, Pallava architecture, Panoramic composition, Panoramic view, Paola Navone, Paola Pivi, Paolo Uccello, Paolo Veronese, Papercraft, Parametric art, Parametric drawing, Paresh Nath, Parquetry, Pascale Marthine Tayou, Pastel colors, Pat Bagley, Patek Philippe, Patent drawing, Patricia Polacco, Patricia Voulgaris, Patrick Chappatte, Patrick Heron, Patrick Seymour, Paul Cadden, Paul Caponigro, Paul Delvaux, Paul Gustav Fischer, Paul Guy Gantner, Paul Hedley, Paul Jenkins, Paul Kaptein, Paul Kenton, Paul Lovering, Paul Lung, Paul Nash, Paul Pelletier, Paul Poiret, Paul Rader, Paul Ranson, Paul Rudolph, Paul Rumsey, Paul Serusier, Paul Signac, Paul Souders, Paul Wonner, Paul-Cesar Helleu, Paulo Mendes da Rocha, Paulo Zerbato, Paulus Potter, Pawel Kuczynski, Pearlescent colors, Peder Balke, Pedro Friedeberg, Peeling texture, Pejac, Pennie Smith, Percy Tarrant, Peregrine Heathcote, Perspective drawing, Petah Coyne, Pete McKee, Pete Souza, Pete Turner, Peter Adderley, Peter Bagge, Peter Basch, Peter Beard, Peter Behrens, Peter Blake, Peter Brookes, Peter Callesen, Peter Coulson, Peter Dombrovskis, Peter Dundas, Peter Eisenman, Peter Elson, Peter Fischli and David Weiss, Peter Halley, Peter Henry Emerson, Peter Holme III, Peter Howson, Peter Hujar, Peter Ilsted, Peter Kemp, Peter Kuper, Peter Lik, Peter Lippmann, Peter Marino, Peter Max, Peter McKinnon, Peter Mendelsund, Peter Mitchev, Peter Mohrbacher, Peter Nottrott, Peter Robert Keil, Peter Sculthorpe, Peter Shire, Peter Turnley, Peter Voulkos, Peter Wileman, Petra Cortright, Petrina Hicks, Petros Afshar, Phase diagram, Phil Hester, Phil Jimenez, Phil Koch, Phil Noto, Phil Tippett, Philip Guston, Philip Jackson, Philip Jones Griffiths, Philip McKay, Philip Pearlstein, Philip Taaffe, Philip Toledano, Philip Treacy, Philip-Lorca diCorcia, Philipp Plein, Philippe Caza, Philippe Faraut, Philippe Geluck, Philippe Parreno, Philippe de Champaigne, Phlegm, Phoebe Anna Traquair, Phyllida Barlow, Phyllis Galembo, Pier Luigi Nervi, Pier Paolo Pasolini, Piero Fornasetti, Piero Manzoni, Pierre Adolphe Valette, Pierre Alechinsky, Pierre Bonnard, Pierre Huyghe, Pierre Jeanneret, Pierre Paulin, Pierre Pellegrini, Pierre Puvis de Chavannes, Pierre-Auguste Cot, Pierre-Jacques Pelletier, Piet Hein Eek, Piet Oudolf, Piet Parra, Pieter Aertsen, Pieter Bruegel the Elder, Pieter Claesz, Pieter Hugo, Pieter de Hooch, Pieter-Jansz van Asch, Pietro Antonio Rotari, Pietro Bernini, Pietro Perugino, Pietro da Cortona, Pinturicchio, Pipilotti Rist, Pitted texture, Pixar studio, Pixelscape, Plague doctor mask, Playful atmosphere, Point cloud, Pol Ledent, Polixeni Papapetrou, Pompeian fresco, Porous texture, Poul Henningsen, Poul Kjaerholm, Pouring rain, Preppy fashion, Primary colors, Prince of Persia, Prismatic texture, Product photography, Propaganda art, Prudence Heward, Prue Stent & Honey Long, Psychedelic colors, Puuung, Quino, R. K. Laxman, RHADS, RJ Matson, Rachel Bingaman, Rackstraw Downes, Radial composition, Radiographic image, Rafael Moneo, Rafael Vinoly, Rafal Olbinski, Raghu Rai, Ragnar Axelsson, Rainer Fetting, Rainer Werner Fassbinder, Rainy, Ralph Gibson, Ralph Horsley, Ralph Rucci, Rammellzee, Ran Ortner, Randal Spangler, Randall Munroe, Rangoli, Rankin, Rankin Bass, Raphael Lacoste, Raphael Perez, Raphaelle Peale, Raqib Shaw, Rashid Johnson, Raw texture, Ray Caesar, Ray Johnson, Raymond Briggs, Raymond Depardon, Raymond Loewy, Raymond Swanland, Rebeca Saray, Rebecca Sugar, Red Dead Redemption, Red Grooms, Reem Acra, Remedios Varo, Renato Guttuso, Rene Burri, Rene Lalique, Resident Evil, Resin art, Revok, Richard Anderson, Richard Anuszkiewicz, Richard Billingham, Richard Burlet, Richard Caldicott, Richard Dadd, Richard Deacon, Richard Diebenkorn, Richard Doyle, Richard Edward Miller, Richard Estes, Richard Eurich, Richard Hambleton, Richard Hamilton, Richard Lindner, Richard Lippold, Richard McGuire, Richard Mosse, Richard Neutra, Richard Parkes Bonington, Richard Phillips, Richard Pousette-Dart, Richard S. Johnson, Richard Schmid, Richard Tuschman, Richard Tuttle, Rick Amor, Rick Baker, Rick McKee, Rick Remender, Rick and Morty, Rie Cramer, Riitta Ikonen, Rimel Neffati, Rineke Dijkstra, Rinko Kawauchi, Rio Carnival float, Rippled texture, Risograph, Rita Angus, Rob Hefferan, Rob Rogers, Rob Ryan, Robert Adams, Robert Arneson, Robert Bateman, Robert Bechtle, Robert Bissell, Robert Campin, Robert Colescott, Robert Cottingham, Robert Doisneau, Robert Frank, Robert Gillmor, Robert Gober, Robert Hagan, Robert Henri, Robert Indiana, Robert Irwin, Robert Kirkman, Robert Longo, Robert Lyn Nelson, Robert Mangold, Robert McCall, Robert McGinnis, Robert Montgomery, Robert Morris, Robert Munsch, Robert Polidori, Robert Reid, Robert Ryman, Robert Smithson, Robert Swain Gifford, Robert Vonnoh, Robert Williams, Robert Wyland, Robert Zemeckis, Roberto Burle Marx, Roberto Cavalli, Roberto Matta, Roberto Rossellini, Robin Moline, Rockabilly fashion, Rockwell Kent, Roe Ethridge, Roeselien Raimond, Roger Bezombes, Roger Fenton, Roger Fry, Roger Hargreaves, Roger Hiorns, Roger Mayne, Roger Vivier, Rogier van der Weyden, Rolf Armstrong, Rolling Stone magazine, Roly-poly doll, Romain Trystram, Roman Vishniac, Roman mosaic, Romance movie, Romare Bearden, Romina Ressia, Romulo Royo, Ron Arad, Ron Clements, Ron Mueck, Ron Tandberg, Ron Walotsky, Ronald Searle, Ronald Wimberly, Ronan and Erwan Bouroullec, Rone, Roni Horn, Ronnie Landfield, Rosa Bonheur, Rosalba Carriera, Rosalyn Drexler, Rose Wylie, Rossdraws, Rosso Fiorentino, Rough surface, Rough texture, Roxy Paine, Roy DeCarava, Roz Chast, Ruben Ireland, Rudolf Ernst, Rudolf Olgiati, Rui Palha, Rupert Bunny, Rupert Vandervell, Ruslan Lobanov, Russ Heath, Russell Young, Rusty Lake, Ruth Asawa, Ruth Bernhard, Ruth Orkin, Ruth Sanderson, Ruud van Empel, Ryan Gander, Ryan Hewett, Ryan McGinley, Ryan McGinness, Ryan Ottley, Ryan Sook, Ryan Stegman, Ryo Takemasa, Sabine Weiss, Sachin Teng, Saint Seiya, Sakimichan, Sally Cruikshank, Salvatore Ferragamo, Sam Chivers, Sam Maloof, Sam Raimi, Sama Calligraphy, Samoan art, Sandra Boynton, Sandra Chevrier, Sandra Silberzweig, Sandro Botticelli, Sandy Welch, Saner, Sanford Biggers, Sanford Robinson Gifford, Sanne Sannes, Santiago Caruso, Santiago Rusinol, Sara Riches, Sarah Joncas, Sarah Lucas, Sardax, Satellite view, Satin texture, Satoru Takizawa, Saturated colors, Satyajit Ray, Saul Leiter, Saul Steinberg, Saul Tepper, Scandi chic fashion, Schematic diagram, Schematics, Sci-fi movie, Scott Adams, Scott Listfield, Scott McCloud, Scott Naismith, Scott Pilgrim, Scott Rohlfs, Scrapbooking, Sealab 2021, Sean Bagshaw, Sean Scully, Sean Yoro, Sebastian Errazuriz, Sebastiano del Piombo, Sebastiao Salgado, Sectional view, Seismogram, Selective Colouring, Sepia tones, Serene atmosphere, Serge Attukwei Clottey, Serge Lutens, Serge Marshennikov, Serge Mouille, Serge Najjar, Serge Poliakoff, Sergei Diaghilev, Sergio Larrain, Sergio Pininfarina, Sergio Toppi, Sesame Street, Seth Globepainter, Seven Samurai, Seydou Keita, Sgraffito, Shabby chic fashion, Shadowed lighting, Sheila Hicks, Sherree Valentine-Daines, Sherry Akrami, Shigeo Fukuda, Shin hanga, Shinichi Maruyama, Shintaro Kago, Shirin Neshat, Shirley Hughes, Shohei Otomo, Shomei Tomatsu, Shopkins Shoppies, Shozo Shimamoto, Shrek, Shuji Terayama, Shusei Nagaoka, Side view, Sidney Nolan, Sidney Sime, Sigmar Polke, Signe Wilkinson, Silhouette, Silvestro Lega, Simen Johan, Simeon Solomon, Simon Birch, Simon Bisley, Simon Kenny, Simon Palmer, Simon Schubert, Simon Vouet, Simone Rocha, Sion Sono, Slick texture, Slim Aarons, Slinkachu, Small scale, Smooth texture, Snowy, Sofonisba Anguissola, Soft lighting, Sohrab Hura, Sol LeWitt, Solve Sundsbo, Somber atmosphere, Sonia Boyce, Sonia Delaunay, Sonia Rykiel, Sonic the Hedgehog, Sopheap Pich, Sophie Delaporte, Sophie Gamand, Sophie Gengembre Anderson, Sophie Taeuber-Arp, Sou Fujimoto, Sound wave diagram, South Park, Space Invaders, Spartacus Chetwynd, Sparth, Spectral texture, Spectrogram, Speedy Graphito, Split view, SpongeBob SquarePants, Spotlight lighting, Spreadsheet, Spring, Spy movie, Squared paper, Squeak Carnwath, Stage lighting, Stan Berenstain, Stan Brakhage, Stan Winston, Stanhope Forbes, Stanko Abadzic, Stanley Donwood, Stanley Greene, Stanley Spencer, Star Trek, StarCraft, Starlit, Statistical graph, Stefan Gesell, Stefanie Schneider, Stencil graphics, Stephan Pastis, Stephanie Law, Stephen Darbishire, Stephen Hillenburg, Stephen Mackey, Stephen Ormandy, Stephen Quiller, Stephen Shortridge, Stephen Wilkes, Stephen Wiltshire, Stevan Dohanos, Steve Bell, Steve Cutts, Steve Dillon, Steve Epting, Steve Hanks, Steve Henderson, Steve Kelley, Steve McCurry, Steve McNiven, Steve Sack, Steven Harrington, Steven Meisel, Steven Outram, Sticker illustration, Stik, Stjepan Sejic, Storm Thorgerson, Stormy, Strandbeest, Strawberry Shortcake doll, Street Fighter, Streetview, Streetwear, Stuart Davis, Stuart Haygarth, Stuart Immonen, Stuart Lippincott, Studio Ghibli, Studio lighting, Su Blackwell, Subdued tones, Subodh Gupta, Sudarsan Pattnaik, Sue Reno, Sulamith Wulfing, Sumerian death mask, Summer, Sung Kim, Sunset, Super Mario, Superjail!, Susan Hiller, Susan Kare, Susan Rios, Susan Seddon Boulet, Suzanne Lalique, Suzanne Valadon, Suzuki Harunobu, Sven Pfrommer, Sverre Fehn, Sylvain Sarrailh, Sylvie Guillot, Symmetrical composition, Synchromism, TCG artwork, Tailored fashion, Takashi Homma, Takehiko Inoue, Tamagotchi, Tamas Dezso, Tammam Azzam, Tania Bruguera, Tara Donovan, Tara McPherson, Tarot de Marseille, Tatsunoko Production studio, Tatsuro Kiuchi, Taylor Wessing, Teagan White, Ted DeGrazia, Ted Gore, Ted McKeever, Ted Rall, Teddy Boys fashion, Teen Titans, Teenage Mutant Ninja Turtles, Teletubbies, Tense atmosphere, Terence Cuneo, Terence Donovan, Terry Isaac, Terry Oakes, Terry Redlin, Tetris, Teun Hocks, Tex Avery, Textured surface, The Adventures of Asterix, The Adventures of Tintin, The Elder Scrolls, The Flintstones, The Grand Budapest Hotel, The Lord of the Rings, The Matrix, The New Yorker magazine, The Secret of Kells, The Simpsons, The Sims, The Sopranos, The Tatami Galaxy, The White Stripes, The Witcher, The X-Files, Theaster Gates, Theo Prins, Theo van Doesburg, Theo van Rysselberghe, Theodor Kittelsen, Theodore Chasseriau, Theodore Gericault, Theodore Robinson, Theodore Rousseau, Theophile Steinlen, Thiago Valdi, Thierry Duval, Thom Browne, Thom Filicia, Thom Mayne, Thomas Ascott, Thomas Barbey, Thomas Benjamin Kennington, Thomas Birch, Thomas Blackshear, Thomas Chippendale, Thomas Cole, Thomas Daniell, Thomas Dewing, Thomas Dodd, Thomas Eakins, Thomas Edwin Mostyn, Thomas Gainsborough, Thomas Hart Benton, Thomas Heatherwick, Thomas Hirschhorn, Thomas Kinkade, Thomas Lawrence, Thomas Leuthard, Thomas Moran, Thomas Nast, Thomas Rowlandson, Thomas Ruff, Thomas Saliot, Thomas Schaller, Thomas Struth, Thomas Sully, Thomas Theodor Heine, Thomas Wrede, Thornton Utz, Thota Vaikuntam, ThunderCats, Thunderstorm, Thurston Hopkins, Tiago Hoisel, Tiki mask, Tillie Walden, Tilted view, Tim Biskup, Tim Bradstreet, Tim Doyle, Tim Etchells, Tim Hawkinson, Tim Hildebrandt, Tim Holtz, Tim Noble, Tim Okamura, Tim Shumate, Time magazine, Time-lapse photography, Timothy Easton, Tina Barney, Tina Modotti, Tintoretto, Tithi Luadthong, Titian, Tlingit art, Tlingit mask, Tobia Scarpa, Tod Browning, Todd Hido, Todd James, Todd McLellan, Todd Nauck, Todd White, Toei Animation studio, Tokujin Yoshioka, Tokusatsu, Tokyo Ghoul, Tom Bagshaw, Tom Eckersley, Tom Everhart, Tom Fruin, Tom Gauld, Tom Grummett, Tom Killion, Tom Lovell, Tom Otterness, Tom Sachs, Tom Thomson, Tom Toles, Tom Tomorrow, Tom Wesselmann, Tom Whalen, Tom and Jerry, Tom of Finland, Tomas Saraceno, Tomasz Alen Kopera, Tomer Hanuka, Tomi Ungerer, Tomie dePaola, Tomma Abts, Tomokazu Matsuyama, Tomoo Gokita, Ton Dubbeldam, Tony Allain, Tony Conrad, Tony DeZuniga, Tony Fitzpatrick, Tony Moore, Tony Orrico, Top view, Topology map, Torito mask, Tory Burch, Toshio Shibata, Toyin Ojih Odutola, Tracey Adams, Tracy Miller, Tracy Reese, Tracy Scott, Traditional Scroll Painting, Tranquil atmosphere, Translucent colors, Trash Polka, Treemap, Trent Parke, Trevor Paglen, Trey Ratcliff, Trisha Romance, Tsukioka Yoshitoshi, Tsumori Chisato, Twin Peaks, Tyler Edlin, UV colors, Ugo Rondinone, Ukrainian folk art, Umberto Boccioni, Underwater lighting, Utamaro, VS Gaitonde, Vacheron Constantin, Val Byrne, Valentine Cameron Prinsep, Valentino, Valerio Adami, Vamberk lace, Vania Zouravliov, Vector chip line art, Vector field, Veined texture, Venetian carnival mask, Vera Wang, Vermiculation texture, Versus, Vibrant colors, Vicki Boutin, Victor Brauner, Victor Moscoso, Victoria Frances, Victorian era cabinet card, Vienna Secession, Vilhelm Hammershoi, Vince Low, Vincent Castiglia, Vincent Di Fate, Vincent Giarrano, Vincent Laforet, Vincent Munier, Vincent Peters, Vinoodh Matadin, Virgil Finlay, Vittore Carpaccio, Viviane Sassen, Vivienne Tam, Vladimir Tretchikoff, Vladimir Volegov, Vogue magazine, Voronoi diagram, Voynich manuscript, WLOP, WRDSMTH, Wabi-sabi, Walasse Ting, Walt Disney, Walt Handelsman, Walter Langley, Walter Lantz, Walter Molino, Walter Quirt, Wang Guangyi, Warcraft, Warhammer 40,000, Warm colors, Warner Bros, Warren Ellis, Warren Keelan, Warwick Goble, Weather map, Weathered surface, Wendell Castle, Wendy Froud, Wendy Vecchi, Werner Bischof, Wes Craven, Wes Wilson, Westworld, Wet texture, Wharton Esherick, What We Do In The Shadows, Where is Waldo, Whimsical atmosphere, Wide-angle view, Wildlife Art, Wilfredo Lam, Will Bullas, Will Burrard-Lucas, Willem Claesz. Heda, Willem van der Velde, William Blake, William Clarke Wontner, William H. Johnson, William Harnett, William Heath Robinson, William Henry Fox Talbot, William Holman Hunt, William Kay Blacklock, William Merritt Chase, William Mortensen, William Patino, William Powell Frith, William Stanley Haseltine, William Steig, William Tillyer, William Wendt, William de Morgan, William-Aldophe Bouguereau, Willy Ronis, Wim Delvoye, Winfred Rembert, Winifred Nicholson, Winnie-the-Pooh, Winslow Homer, Winter, Wireframe, Wiring diagrams, Wolf Kahn, Wolfenstein 3D, Wolfgang Laib, Woody, Wotto, Woven texture, Wyndham Lewis, Xenia Hausner, Xkcd, Yanjun Cheng, Yann Arthus-Bertrand, Yasuo Kuniyoshi, Yener Torun, Yiannis Moralis, Yinka Ilori, Yonatan Frimer, Yossi Kotler, Yousuf Karsh, Yu-Gi-Oh, Yuri Shwedoff, Yuriy Shevchuk, Yusaku Kamekura, Yves Brayer, Yves Tanguy, Zak Noyle, Zandra Rhodes, Zao Wou-Ki, Zapatista mask, Zapiro, Zaria Forman, Zarina Hashmi, Zemer Peled, Zentangle, Zhang Daqian, Zimoun, Zio Ziegler".Split(',', StringSplitOptions.None).ToList();
-            return artists.OrderBy(el => random.Next()).ToList().First().Trim();
-        }
-
-        public Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var artist = GetRandomArtist();
-            var newVersion = $"In the style of {artist}, {pd.Prompt}";
-            pd.ReplacePrompt(newVersion, newVersion, TransformationType.AddingArtistStyle);
-
-            return Task.FromResult(true);
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Runtime;
+using System.Text;
+using System.Threading.Tasks;
+
+
+namespace MultiImageClient
+{
+
+    public class StylizerStep : ITransformationStep
+    {
+        private static Random random = new Random();
+
+        public string Name => nameof(StylizerStep);
+
+        public static string GetRandomArtist()
+        {
+            var artists = "3D model, A. R. Penck, A. Y. Jackson, Aardman Animations, Aaron Blaise, Aaron Douglas, Aaron James Draplin, Aaron Reed, Aaron Westerberg, Abanindranath Tagore, Abbas Kiarostami, Abbey Lossing, Aberdeen Bestiary, Aboudia, Abraham Ortelius, Abstract D'Oyley, Achille Castiglioni, Acrylic pour, Action movie, Adam Kubert, Adam Neate, Adam Zyglis, Adi Granov, Adolf Schreyer, Adriaen Brouwer, Adrian Frutiger, Adrianna Papell, Adrienne Segur, Adventure Time, Aelbert Cuyp, Aerial view, Aerin Lauder, African mask, Age of Empires, Agnieszka Lorek, Agostino Iacurci, Aibo, Aida Muluneh, Aimee Stewart, Aires Mateus, Aitor Throup, Alan Aldridge, Alan Fearnley, Alan Kitching, Alan Moir, Alasdair Gray, Alaya Gadeh, Albert Dros, Albert Dubout, Albert Edelfelt, Albert Irvin, Albert Koetsier, Albert Namatjira, Albert Oehlen, Albert Paley, Albert Renger-Patzsch, Alberta Ferretti, Alberto Campo Baeza, Alberto Vargas, Aldo Rossi, Ale Giorgini, Alec Monopoly, Alejandro Gonzalez Inarritu, Aleksi Briclot, Alessandro Mendini, Alex Chinneck, Alex Janvier, Alex Katz, Alex MacLean, Alex Majoli, Alex Raymond, Alexander Girard, Alexander Payne, Alexandre Deschaumes, Alexej von Jawlensky, Alexey Brodovitch, Alfonso Cuaron, Alfred Dehodencq, Alfred Sisley, Alfred Wallis, Alice Kettle, Alice Pike Barney, Alicja Kwade, Alida Akers, Alighiero Boetti, Aline Kominsky-Crumb, Alisa Burke, Allan Kaprow, Alma Thomas, Alphonse Bertillon, Alvaro Castagnet, Amanda Blake, Amanda Sage, Ambient lighting, Ambrogio Lorenzetti, American Girl doll, Ami James, Amigurumi, Amy Brown, Amy Giacomelli, Amy Sol, Ana Mendieta, Anaglyph colors, Andre Courreges, Andre Masson, Andrea Galvani, Andrea Palladio, Andrea Torres Balaguer, Andreas Rocha, Andrew Loomis, Andrew Read, Andrew Salgado, André Franquin, Andy Gilmore, Andy Kubert, Andy Marlette, Andy Rementer, Andy Russell, Angelica Kauffman, Angelo Donghia, Angie Lewin, Angry Birds, Anila Quayyum Agha, Animal Crossing, Animalier fashion, Anita Jeram, Ann Mortimer, Ann Telnaes, Ann Veronica Janssens, Anna Atkins, Anna Griffin, Anna Maria Garthwaite, Anna Pugh, Anna Silivonchik, Anna Sui, Annabelle doll, Anne Cotterill, Anne Gifford, Anne Redpath, Annette Schmucker, Annibale Carracci, Annie Ovenden, Anonymous mask, Anselm Feuerbach, Anthea Hamilton, Anthony Caro, Anthony Gerace, Anthony McCall, Antoine Bourdelle, Antoine Pevsner, Antonio Lopez, Antonio Stradivari, Antony Cairns, Arata Isozaki, Archibald Motley, Architectural plan, Arkanoid, Arnaldo Pomodoro, Arne Svenson, Arnold Genthe, Arnold Lobel, Art Baltazar, Arthur Claude Strachan, Arthur Frank Mathews, Arthur John Elsley, Arthur Melville, Arthur Suydam, Arthur Szyk, Artificial lighting, Aryz, Ashlar texture, Ashraful Arefin, Assemblage, Assembly drawing, Astrological chart, Astronomical chart, Asymmetrical composition, Audemars Piguet, Auguste Perret, Augustus Edwin John, Autochrome print, Autostereogram, Autumn, Axel Vervoordt, Axonometric view, Aztec mask, Azzedine Alaia, B. Kliban, Backlit, Bada Shanren, Baggy fashion, Barbara Chase-Riboud, Barbara Chichester, Barbara Kasten, Barbie, Barnett Newman, Barong mask, Barry Blitt, Barry Windsor-Smith, Bas Princen, Bastien Grivet, Baz Luhrmann, Beachwear fashion, Beatrice Alemagna, Beatriz Milhazes, Befana, Bela Kadar, Ben Eine, Ben Garrison, Ben Heine, Benin art, Benito Jacovitti, Benoit Paille, Bentwood, Bernard Leach, Bernard Plossu, Bernardo Bellotto, Bernd and Hilla Becher, Bernie Fuchs, Bertha Lum, Berthe Morisot, Beryl Cook, Beth Cavener, Beth Moon, Bethany Lowe, Betty Boop doll, Betty Woodman, Betye Saar, Beverly Joubert, Bijou Karman, Bill Amend, Bill Bell, Bill Cunningham, Bill Eppridge, Bill Leak, Bill Owens, Bill Plympton, Bill Schorr, Bill Willingham, Billie Tsien, Billy Wilder, BioShock, Bioluminescent colors, Bjarne Melgaard, Black-and-white colors, Blade Runner, Blek le Rat, Blizzard, Blue Sky Animation Studio, Blue hour, Board game, Bob Coonts, Bob Englehart, Bob Kane, Bob Mackie, Bob Peak, Bob Pepper, Bob Staake, Bob the Builder, Bonnie Marris, Book of Kells, Boris Groh, Boris Mikhailov, Bottom view, Bouchra Jarrar, Brandon Kidwell, Bratz doll, Brent Stirton, Brian Michael Bendis, Brian Stelfreeze, Brom, Bruce McLean, Bruce Onobrakpeya, Buffy the Vampire Slayer, Bumpy texture, Bunny Williams, Bunraku, Butch Hartman, Buzz Lightyear, Byzantine icon, CAD drawing, CFA Voysey, Cake design, Call of Duty, Cameo, Camilla d'Errico, Camille Rose Garcia, Candice Olson, Candlelit, Capability Brown, Carel Fabritius, Carey Chen, Caricature, Carl Brenders, Carl Mydans, Carl Wilhelmson, Carlo Dolci, Carlo Scarpa, Carlos Latuff, Carlos Schwabe, Carly Cushnie, Carmen Herrera, Carol Hagan, Carole Feuerman, Carole Spandau, Carolee Schneemann, Caroll Spinney, Carolyn Blish, Carrie Graber, Carsten Holler, Carsten Witte, Cartography, Casey Baugh, Cassius Marcellus Coolidge, Cath Kidston, Catherine Abel, Catherine Holman, Catherine Opie, Catherine Pooler, Cathy Hegman, Cathy Horvath Buchanan, Cathy Locke, Cathy Wilcox, Cathy Wilkes, Catrin Welz-Stein, Cecil Aldin, Cecil B. DeMille, Cecil Beaton, Cecil Touchon, Cecilia Beaux, Cecilie Manz, Cellular diagram, Chad Dutson, Chad Knight, Chantal Joffe, Charles Bibbs, Charles Burton Barber, Charles Conder, Charles Courtney Curran, Charles Dana Gibson, Charles Dwyer, Charles Eames, Charles Fazzino, Charles Ginner, Charles Gleyre, Charles Gwathmey, Charles Le Brun, Charles Marville, Charles Maurice Detmold, Charles Reiffel, Charles Rennie Mackintosh, Charles Robinson, Charles Sheeler, Charles Spencelayh, Charles Tunnicliffe, Charles White, Charles Wysocki, Charles-Amable Lenoir, Charles-Andre van Loo, Charles-Francois Daubigny, Charley Harper, Charley Toorop, Charlie Adlard, Charline von Heyl, Charlotte Perriand, Charred, Chemical structure, Chen Yifei, Chen Zhen, Chicano art, Chien Chung-Wei, Chiho Aoshima, Childe Hassam, Chip Zdarsky, Chris Burden, Chris Claremont, Chris Johanson, Chris Leib, Chris Ryniak, Chris Samnee, Chris Sanders, Chris Ware, Christi Belcourt, Christian Coigny, Christian Krohg, Christian Louboutin, Christian Marclay, Christian Riese Lassen, Christian Tagliavini, Christine Comyn, Christine Ellger, Christo, Christoffer Relander, Christophe Staelens, Christophe Vacher, Christopher Bucklow, Christopher Corr, Christopher Shy, Christopher Wren, Christy Lee Rogers, Christy Tomlinson, Chrome colors, Chuck Jones, Chuck Sperry, Cimabue, Cinematic lighting, Circuit diagram, Cirque du Soleil, City of God, City plan, Claes Oldenburg, Claire Basler, Claire Droppert, Claire Wendling, Clara Peeters, Clare Elsaesser, Clarence Gagnon, Clark Little, Claude Lorrain, Claude Parent, Claude-Joseph Vernet, Claudia Rogge, Claudia Tremblay, Claudio Silvestrin, Clay Bennett, Clay Mann, Clayton Crain, Clemens Ascher, Cleon Peterson, Cleve Gray, Cliff Chiang, Clifford Coffin, Clifford Harper, Clifford Possum Tjapaltjarri, Climate history graph, Clive Barker, Close-up view, Cluttered composition, Clyfford Still, Coat of Arms, Codex Mendoza, Codex Sinaiticus, Cody Ellingham, Colin Campbell Cooper, Colin McCahon, Collagraph, Color field painting, Coloring-in sheet, Colossal scale, Comedy movie, Comfy atmosphere, Command & Conquer, Commedia dell'Arte, Commedia dell'Arte mask, Complementary colors, Conor Harrington, Conrad Shawcross, Constance Guisset, Constance Spry, Constantin Brancusi, Constantin Kousnetzoff, Contour plot, Contrasted lighting, Cool colors, Coordinate system paper, Copperplate engraving, Corey Arnold, Corn husk doll, Cornell Capa, Counter-Strike, Cracked surface, Craigie Aitchison, Craquelure, Crayon Shin-chan, Crinkled texture, Cristina Coral, Cristina McAllister, Cross-section diagram, Cross-section plan, Csaba Markus, Cubism, Cuneiform, Cutaway view, Cy Twombly, D. W. Griffith, DAIN, DALeast, Daarken, Daisuke Yokota, Dan Abnett, Dan Brereton, Dan Graham, Dan Povenmire, Dan Slott, Dan Spiegle, Dan Witz, Dana Trippe, Danh Vo, Daniel Buren, Daniel Eskridge, Daniel Garber, Daniel Kordan, Danny Clinch, Danny O'Connor, Dante Gabriel Rossetti, Daphne Odjig, Darek Zabrocki, Daria Endresen, Daria Petrilli, Dariusz Klimczak, Dark atmosphere, Dark foreboding colors, Daron Nefcy, Darrell K. Sweet, Daryl Cagle, Dashiki fashion, Data visualization, Dav Pilkey, Dave Coverly, Dave Granlund, Dave Heath, Dave Sim, Dave Stevens, Dave Whamond, David A. Hardy, David Adjaye, David Aja, David Alfaro Siqueiros, David Altmejd, David Bellemere, David Bomberg, David Bowers, David Brayne, David Bromley, David Brown Milne, David Burnett, David Cerny, David Choe, David Cox, David Downton, David Drebin, David Driskell, David Goldblatt, David Hammons, David Hettinger, David Horsey, David Hurn, David Inshaw, David Keochkerian, David Lean, David Ligare, David Lloyd Glover, David Mann, David Martiashvili, David Michael Bowers, David Mould, David Nash, David Octavius Hill, David Palumbo, David Plowden, David Pope, David Rees, David Renshaw, David Roberts, David Rowe, David Salle, David Seymour, David Shepherd, David Sims, David Teniers the Younger, David Trubridge, David Tutwiler, David Uhl, David Walker, David Welker, David Wightman, David Wilkie, David Yarrow, Davide Sorrenti, Dawn, Dayak art, Dead Cells, Dean Crouser, Deana Lawson, Debbie Criswell, Deborah Azzopardi, Deborah Turbeville, Declan Shalvey, DeepDream, Deirdre Sullivan-Beeman, Del Kathryn Barton, Delftware, Delphin Enjolras, Delphine Diallo, Demetre Chiparus, Dennis Oppenheim, Dennis Stock, Denys Lasdun, Depressed atmosphere, Derek Gores, Derek Jarman, Desaturated colors, Detailed, Diablo, Diagonal composition, Dick Bruna, Dick Giordano, Dick Sprang, Didier Lourenco, Diego Dayer, Dieter Rams, Diffused lighting, Digimon, Dim lighting, Dima Dmitriev, Dimitry Roulland, Dina Wakley, Dion Lee, Disco Elysium, Disney Studio, Distressed Photo, Doctor Who, Dod Procter, Dogon art, Domenichino, Don Blanding, Don Dixon, Don Heck, Don Hertzfeldt, Donald Judd, Donald Zolan, Donatella Versace, Donkey Kong, Donna Huanca, Doodle, Doom, Dora Carrington, Dorina Costras, Doris Salcedo, Dorothea Sharp, Dorothy Draper, Dorothy Johnstone, Doug Aitken, Doug Chinnery, Doug Hyde, Doug Marlette, Doug TenNapel, Douglas Gordon, Douglas Kirkland, Douglas Smith, Dr. Seuss, Dragon Quest: The Adventure of Dai, Drama movie, Dramatic lighting, Dran, Drawing grid paper, Dreamworks, Dreamy atmosphere, Dries van Noten, Duane Hanson, Duccio, Dungeons and Dragons, Duotone colors, Dusk, Duy Huynh, Dwight William Tryon, E. J. Bellocq, Earle Bergey, Earthy tones, Eastman Johnson, Ebru Sidar, Ed Hardy, Ed McGuinness, Ed Templeton, Eddie Colla, Edgar Maxence, Edith Head, Edmund Tarbell, Edmund de Waal, Edoardo Tresoldi, Edouard Boubat, Edouard Cortes, Eduard Gaertner, Eduard Veith, Eduardo Chillida, Eduardo Paolozzi, Eduardo Souto Moura, Edward Ardizzone, Edward Atkinson Hornel, Edward Bawden, Edward Blair Wilkins, Edward Cucuel, Edward Henry Potthast, Edward Julius Detmold, Edward Okun, Edward Poynter, Edward Wadsworth, Edwin Henry Landseer, Edwin Landseer, Edwin Lord Weeks, Edwin Lutyens, Eerie atmosphere, Eero Aarnio, Egyptian funeral mask, Eiko Ojala, Eikoh Hosoe, Eileen Gray, Elaine Lustig Cohen, Eleanor Antin, Eleanor Vere Boyle, Electrical layout, Electromagnetic spectrum chart, Elena Kotliarker, Elevation drawing, Elger Esser, Elia Kazan, Elia Locardi, Elihu Vedder, Elisabeth Fredriksson, Elisabeth Sonrel, Elisabeth Vigee Le Brun, Elise Palmigiani, Elizabeth Murray, Elizabeth Nourse, Elizabeth Peyton, Elizabeth Shippen Green, Elke Vogelsang, Ellsworth Kelly, Elmer Bischoff, Elsa Schiaparelli, Emanuel Ungaro, Embossed texture, Emil Alzamora, Emil Carlsen, Emil Melmoth, Emile Claus, Emile Vernon, Emiliano Ponzi, Emily Balivet, Emily Carr, Emily Henderson, Emily Kame Kngwarreye, Emmanuelle Moureaux, Emory Douglas, Encaustic tile, Enid Blyton, Epic scale, Epic view, Erez Marom, Eric Cahan, Eric Canete, Eric Carle, Eric Dowdle, Eric Drooker, Eric Fischl, Eric Gill, Eric Lacombe, Eric Lafforgue, Eric Ravilious, Eric Standley, Erich Hartmann, Erik Jones, Erik Kessels, Erin Gregory, Ernest Lawson, Ernie Ball, Ernie Barnes, Ernst Fuchs, Ernst Lubitsch, Ernst Wilhelm Nay, Erte, Erwin Redl, Esad Ribic, Esaias van de Velde, Esao Andrews, Euan Uglow, Eudora Welty, Eugen Chisnicean, Eugene Boudin, Eugene Delacroix, Eugene Galien-Laloue, Eugene Grasset, Eugene Richards, Eugene de Blaas, Eustache Le Sueur, Eva Hesse, Eva Rothschild, Eve Arnold, Eve Ventrue, Evelyn De Morgan, Evelyn Dunbar, Everett Shinn, Evgeni Dinev, Evgeni Gordiets, Evgeny Lushpin, Exploded assembly, Exploded view, Extreme caricature, Exuberant atmosphere, Ezra Jack Keats, Ezra Petronio, F. C. Gundlach, Faberge egg, Fabian Oefner, Fabienne Rivory, Fabio Hurtado, Facepaint, Fairfield Porter, Faith47, Faiza Maghni, Fallout 4, Family Guy, Fantasy movie, Fatima Ronquillo, Fausto Puglisi, Federico Babina, Felice Beato, Felice Varini, Felix Gonzalez-Torres, Felix Vallotton, Ferdinand Hodler, Ferdinand Knab, Ferdinando Scianna, Fern Isabel Coppedge, Fernand Fonssagrives, Fernando Amorsolo, Fernando Botero, Ferris Plock, Ferrofluid, Festima mask, Fiber optic light painting, Fibrous texture, Filigree, Filip Hodas, Filippo Minelli, Fine art etching, Finn Juhl, Finnian MacManus, Fintan Magee, Firelit, First-person view, Fish scale texture, Fish-eye view, Fitz Henry Lane, Flamboyant atmosphere, Flashy colors, Flora Waycott, Florence Broadhurst, Florence Harrison, Florence Knoll, Florian Nicolle, Florine Stettheimer, Fluffy texture, Fluorescent colors, Foggy, Food photography, Footage from CCTV, Found object art, Fra Angelico, Fragmented composition, Frances Brundage, Frances Hodgkins, Frances MacDonald, Frances Tipton Hunter, Francesco Albani, Francesco Borromini, Francesco Clemente, Francesco Guardi, Francesco Solimena, Francis Bernard Dicksee, Francis Manapul, Francis Newton Souza, Francisco de Zurbaran, Franck Bohbot, Franco Fontana, Francois Morellet, Francois Schuiten, Francois Truffaut, Francois-Xavier Lalanne, Francoise Nielly, Frank Bowling, Frank Bramley, Frank Cadogan Cowper, Frank Capra, Frank Holl, Frank McCarthy, Frank Weston Benson, Frankenweenie, Franklin Booth, Franklin Carmichael, Frans Floris, Frans Francken the Younger, Frans Hals, Frans Masereel, Frantisek Kupka, Franz von Stuck, Fred Benes, Fred Calleri, Fred Herzog, Fred Sandback, Fred Stein, Fred Tomaselli, Frederic Bazille, Frederic Remington, Frederic William Burton, Frederick Arthur Bridgman, Frederick Carl Frieseke, Frederick Catherwood, Frederick Cayley Robinson, Frederick Hammersley, Frederick John Kiesler, Frederick McCubbin, Frederick Varley, Friedel Dzubas, FriendsWithYou, Fritz Hansen, Fritz Zuber-Buhler, Frontal view, Fujifilm instax, Full body-height view, Fumihiko Maki, Functional block diagram, Furby, Furry texture, Gabor Csupo, Gabriel Isak, Gabriele Dell'otto, Gail Albert Halaban, Gail Gibbons, Gainax, Gantt chart, Garance Dore, Garth Ennis, Gary Baseman, Gary Benfield, Gary Hume, Gary Petersen, Gary Varvel, Gaston Le Touche, Gene Colan, Gene Davis, Genealogical tree, Genetic map, Gennady Spirin, Genndy Tartakovsky, Gentile Bellini, Geoffrey Beene, Geoglyph, Geological cross-section, George Biddle, George Caleb Bingham, George Callaghan, George Catlin, George Clausen, George Condo, George Cruikshank, George Cukor, George Digalakis, George Eastman, George Goodwin Kilburne, George Henry Boughton, George Henry Yewell, George Hoyningen-Huene, George Nakashima, George Nelson, George Pemba, George Perez, George Petty, George Platt Lynes, George Rodrigue, George Romney, George Segal, George Shaw, George Stefanescu, George Stubbs, George Tice, George Underwood, George Yepes, Georges Clairin, Georges Dambier, Georges Hobeika, Georges Lacombe, Georges Lemmen, Georges Lepape, Georges Rochegrosse, Georges Rousse, Georges Seurat, Georges de La Tour, Georgia O'Keeffe, Georgy Kurasov, Gerald Harvey Jones, Gerard ter Borch, Gerd Arntz, Gerda Wegener, Gered Mankowitz, Germaine Krull, Germaine Richier, Gerrit Dou, Gerrit Rietveld, Gerry Anderson, Gerry Johansson, Gertrude Jekyll, Ghada Amer, Giambattista Valli, Gian Lorenzo Bernini, Gianfranco Ferre, Gianni Berengo Gardin, Gifford Beal, Gil Bruvel, Gilbert Garcin, Gilbert Shelton, Gilbert Stuart, Gilbert Williams, Gillian Wearing, Ginette Callaway, Gio Ponti, Giorgetto Giugiaro, Giorgio Morandi, Giorgio Vasari, Giorgio de Chirico, Giotto, Giovanni Battista Piranesi, Giovanni Battista Tiepolo, Giovanni Battista Venanzi, Giovanni Boldini, Giovanni Domenico Tiepolo, Giovanni Segantini, Giuseppe Cristiano, Giuseppe Penone, Giuseppe de Nittis, Glam Rock fashion, Glen Orbik, Glenn Fabry, Glenn Ligon, Glenn Murcutt, Glitchy, Gloomy atmosphere, Glossy texture, Gnaga mask, GodMachine, Godfried Schalcken, Golden hour, Golgo 13, Gonzalo Borondo, Googie architecture, Google Street View, Gordon Matta-Clark, Goro Fujita, Grace Cossington Smith, Graciela Rodo Boulanger, Gradient colors, Graham Gercken, Graham Sutherland, Granblue Fantasy, Grandma Moses, Grant Morrison, Granular texture, Graph paper, Gravity Falls, Gray Malin, Gray Morrow, Greaser fashion, Greek Theatre mask, Greg Capullo, Greg Gorman, Greg Hildebrandt, Greg Land, Greg Manchess, Greg Nicotero, Greg Olsen, Greg Rucka, Greg Simkins, Greg Staples, Greg Tocchini, Grete Stern, Grigory Gluckmann, Grinling Gibbons, Gritty texture, Ground-level view, Guercino, Guerrilla Girls, Guido Argentini, Guido Borelli da Caluso, Guido Crepax, Guido Guidi, Guido Reni, Guido van Helten, Guild Wars 2, Guillaume Corneille, Guillaume Seignac, Guillem H. Pongiluppi, Gum Bichromate, Gunther Uecker, Gus Van Sant, Gustaf Tenggren, Gustav Bauernfeind, Gustav Stickley, Gustav-Adolf Mossa, Gustave Baumann, Gustave Boulanger, Gustave Courbet, Gustave De Smet, Gustave Eiffel, Gustave Le Gray, Gustave Loiseau, Gustave Moreau, Gustave de Jonghe, Guweiz, Guy Aitchison, Guy Buffet, Guy Carleton Wiggins, Guy Coheleach, Guy Delisle, Guy Denning, Guy Fawkes mask, Guy Harvey, Guy Maddin, Guy Rose, Gyorgy Kepes, Gyotaku, H. A. Brendekilde, H. P. Lovecraft, HENSE, Haas Brothers, Haibane Renmei, Haida art, Half-Life, Halo, Hamtaro, Hanafuda card, Haniwa, Hanna-Barbera, Hannah Dale, Hannah Hoch, Hanne Darboven, Hans Erni, Hans Feurer, Hans Heysen, Hans Hofmann, Hans Hollein, Hans Memling, Hans Op de Beeck, Hans Wegner, Harley Earl, Harmony Korine, Harold Cazneaux, Harold Gilman, Haroon Mirza, Haroshi, Harriet Backer, Harriet Lee-Merrion, Harrison Fisher, Harry Anderson, Harry Bertoia, Harry Furniss, Harry Siddons Mowbray, Harry Watrous, Harry Weisburd, Harsh lighting, Harumi Hironaka, Harun Farocki, Harvey Dunn, Hassan Hajjaj, Hasui Kawase, Hatsune Miku, Hayv Kahraman, Headgear, Heat map, Heather Galler, Hebru Brantley, Hector Guimard, Hedi Slimane, Hedi Xandt, Heidi Swapp, Heinrich Kley, Heinz Mack, Helen Allingham, Helen Cottle, Helen Dardik, Helen Frankenthaler, Helen Lundeberg, Helen Musselwhite, Helene Beland, Helene Schjerfbeck, Helio Oiticica, Hello Kitty, Helmut Lang, Hendrick Avercamp, Hendrick ter Brugghen, Hendrik Kerstens, Hengki Koentjoro, Henning Larsen, Henri Fantin-Latour, Henri Gaudier Brzeska, Henri Le Sidaner, Henri Lebasque, Henri Manguin, Henri Michaux, Henri-Jules-Jean Geoffroy, Henrietta Harris, Henriette Ronner-Knip, Henrik Fisker, Henry Asencio, Henry Justice Ford, Henry Moret, Henry Roderick Newman, Henry Scott Tuke, Henry Selick, Henry Wessel, Herakut, Heraldry, Herb Trimpe, Herbert Bayer, Herman Brood, Herman Miller, Hermann Nitsch, Herringbone texture, Herve Leger, Herzog & de Meuron, Heywood Hardy, Hideo Kojima, Hieratic script, High key photography, Hilla Becher, Hina doll, Hipgnosis, Hiro Mashima, Hiroshi Nagai, Hiroshi Yoshida, History movie, Hito Steyerl, Holly Andres, Holly Hobbie, Holton Rower, Hong-Oai Don, Honore Daumier, Hopi art, Horror movie, Howard Arkley, Howard Behrens, Howard Carter, Howard Chandler Christy, Howard Chaykin, Howard David Johnson, Howard Pyle, Howard Schatz, Howard Terpning, Howardena Pindell, Hubert Robert, Hudoq mask, Hugh Ferriss, Hugues Merle, Huichol art, Huma Bhabha, Humberto Ramos, Humphry Repton, Hurricane, Ian Howorth, Ian Miller, Idris Khan, Igor Mitoraj, Igor Morski, Igor Zenin, Ikenaga Yasunari, Ildiko Neer, Illuminated manuscript, Imants Tillers, Impasto, Inca art, Incandescent colors, India Mahdavi, Indonesian mask, Inessa Garmash, Inez and Vinoodh, Inge Morath, Ingrid Baars, Intaglio, Intarsia woodworking, Intricate, Inuit art, Iren Horrors, Irene Sheri Vishnevskaya, Iridescent colors, Iris Scott, Irma Stern, Irmgard Schoendorf Welch, Irving Amen, Isaac Cruikshank, Isaac Mizrahi, Isabel Toledo, Isabelle Arsenault, Isabelle de Borchgrave, Isao Takahata, Isay Weinfeld, Isekai anime style, Isometric projection, Ithell Colquhoun, Ito Jakuchu, Itzchak Tarkay, Iurie Belegurschi, Ivan Brunetti, Ivan Chermayeff, Ivan Kramskoi, J. E. H. MacDonald, J. J. Abrams, J. J. Grandville, J. Scott Campbell, J.M.W. Turner, J.P. Targete, Jack Butler Yeats, Jack Davison, Jack Gaughan, Jack Kirby, Jack Sorenson, Jack Ziegler, Jackie Morris, Jackie Ormes, Jacob Aue Sobol, Jacob Epstein, Jacob Jordaens, Jacob Philipp Hackert, Jacob Riis, Jacob van Ruisdael, Jacopo Bassano, Jacques Amans, Jacques Lipchitz, Jacques Majorelle, Jacques Monory, Jacques Rivette, Jaehyo Lee, Jaime Hayon, Jama Jurabaev, Jamel Shabazz, James Abbott McNeill Whistler, James Avati, James Avery, James Bama, James Barnor, James Brooks, James Casebere, James Dietz, James Dyson, James Ensor, James Gillray, James Gunn, James Guthrie, James Jean, James Nizam, James Paick, James R. Eads, James Rosenquist, James Sant, James Thurber, James Tissot, James Turrell, James Wan, James Welling, James Wells Champney, James Wilson Morrice, Jamie Heiden, Jamini Roy, Jan Berenstain, Jan Brett, Jan Davidsz de Heem, Jan Fabre, Jan Gossaert, Jan Mankes, Jan Matson, Jan Toorop, Jan Urschel, Jan van Haasteren, Jan van Kessel the Elder, Jan van Scorel, Jane Burch Cochran, Jane Newland, Jane Small, Janet Delaney, Janet Echelman, Janine Antoni, Jannis Kounellis, Januz Miralles, Jarek Kubicki, Jarek Puczel, Jason Edmiston, Jason Freeny, Jason Middlebrook, Jason deCaires Taylor, Jasper Francis Cropsey, Jaume Capdevila, Jaume Plensa, Javier Mariscal, Javiera Estrada, Jay DeFeo, Jean Arp, Jean Beraud, Jean Dubuffet, Jean Fouquet, Jean Jullien, Jean Metzinger, Jean Patou, Jean Prouve, Jean-Antoine Houdon, Jean-Antoine Watteau, Jean-Baptiste Carpeaux, Jean-Baptiste Corot, Jean-Baptiste Greuze, Jean-Baptiste-Simeon Chardin, Jean-Etienne Liotard, Jean-Gabriel Domergue, Jean-Honore Fragonard, Jean-Joseph Benjamin-Constant, Jean-Leon Gerome, Jean-Louis Forain, Jean-Michel Frank, Jean-Paul Goude, Jean-Paul Riopelle, Jean-Philippe Delhomme, Jean-Pierre Gibrat, Jean-Sebastien Rossbach, Jeanine Michna-Bales, Jeanne Lanvin, Jeannette Guichard-Bunel, JeeYoung Lee, Jeff Kinney, Jeff Lemire, Jeff Soto, Jeffrey Milstein, Jeffrey Smart, Jeffrey T. Larson, Jen Bartel, Jen Sorensen, Jennifer Lommers, Jennifer Rubell, Jenny Frison, Jeppe Hein, Jeremiah Ketner, Jeremy Geddes, Jeremy Lipking, Jeremy Scott, Jerry N. Uelsmann, Jesper Ejsing, Jessica Backhaus, Jessica Drossin, Jessica Durrant, Jessica Galbreth, Jessica Roux, Jessica Stockholder, Jessie M. King, Jessie Willcox Smith, Jill Freedman, Jillian Tamaki, Jim Aparo, Jim Burns, Jim Cheung, Jim Daly, Jim Dine, Jim Fitzpatrick, Jim Hansel, Jim Holland, Jim Kazanjian, Jim Lambie, Jim Lee, Jim Starlin, Jim Warren, Jim Woodring, Jimmy Chin, Jimmy Marble, Jimmy Margulies, Jimmy Palmiotti, Jiro Kuwata, Jo Ann Callis, Jo Grundy, Joachim Beuckelaer, Joachim Patinir, Joachim Wtewael, Joan Cornella, Joan Eardley, Joan Mitchell, Joan Snyder, Joao Ruas, Joaquin Sorolla, Jocelyn Hobbie, Jock, Jody Bergsma, Joe Fenton, Joe Heller, Joe Jusko, Joe Madureira, Joe Quesada, Joe Webb, Joel Pett, Joel Rea, Joel Robison, Joel Shapiro, Joel Sternfeld, Joel-Peter Witkin, Joep Bertrams, Joep van Lieshout, Johan Messely, Johanna Basford, Johanna Gullichsen, Johannes Itten, Johannes VanDerBeek, Johfra Bosschart, John Anster Fitzgerald, John Atkinson Grimshaw, John Baldessari, John Batho, John Bellany, John Berkey, John Blanche, John Brack, John Bratby, John Burningham, John Butler Yeats, John Carpenter, John Cassaday, John Chamberlain, John Constable, John Crome, John Currin, John Darkow, John Divola, John Duncan, John Everett Millais, John Frederick Kensett, John Frederick Lewis, John George Brown, John Gould, John Gutmann, John Heartfield, John Hejduk, John Holcroft, John James Audubon, John Kricfalusi, John La Farge, John Larriva, John Lasseter, John Lautner, John Lavery, John Leech, John Lovett, John Lowrie Morrison, John Lurie, John Maler Collier, John Marin, John Martin, John Melhuish Strudwick, John Nash, John Olsen, John Paul Caponigro, John Perceval, John Philip Falter, John Piper, John Pitre, John Reuss, John Roddam Spencer Stanhope, John Ruskin, John Sell Cotman, John Singleton Copley, John Sloane, John Stezaker, John Tenniel, John Trumbull, John Twachtman, John William Godward, Johnathan Harris, Johnny Morant, Johnson Tsang, Jon Carling, Jon Foster, Jon Klassen, Jon Kudelka, Jon McNaught, Jon McNaughton, JonOne, Jonathan Adler, Jonathan Meese, Joost Swarte, Joram Roukes, Jordan Grimmer, Jordi Bernet, Jorge Maia, Joris Laarman, Jorn Utzon, Jos Collignon, Josan Gonzalez, Jose Guadalupe Posada, Jose Royo, Josef Frank, Josef Hoffmann, Josef Kote, Joseph Farquharson, Joseph Kosuth, Joseph Lorusso, Joseph Pennell, Joseph Stella, Josephus Laurentius Dyckmans, Josh Adamski, Josh Keyes, Josh Kirby, Joshua Reynolds, Joyful atmosphere, Juan Gris, Judith Clay, Judith Desrosiers, Judith Leyster, Judy Blame, Judy Dater, Juergen Teller, Jules Bastien-Lepage, Jules Breton, Jules Feiffer, Jules Olitski, Jules Pascin, Julian Beever, Julian Glander, Julian Opie, Julian Schnabel, Juliana Nan, Julie Arkell, Julie Paschkis, Julio Larraz, Julio Le Parc, Julius Leblanc Stewart, Junkanoo mask, Junya Ishigami, Jurassic Park, Jusepe de Ribera, Justin Gaffrey, Justin Gerard, Justin Roiland, Justina Blakeney, Justine Kurland, Kabuki, Kabuki mask, Kader Attia, Kaethe Butcher, Kaffe Fassett, Kamen Rider, Kanban wall, Kangra painting, Kansuke Yamamoto, Karel Appel, Karen Noles, Karen Tarlton, Karin Kuhlmann, Karl Knaths, Karl Schmidt-Rottluff, Karla Gerard, Kate Baylay, Kate Greenaway, Kate Leth, Kate Spade, Kathakali mask, Katharina Grosse, Kathrin Honesta, Kathrin Longhurst, Kathy Fornal, Katie Scott, Katsuya Terada, Katy Grannan, Katy Smail, Katya Gridneva, Kees van Dongen, Keiichi Tanaami, Keiji Inafune, Keisai Eisen, Kelley Jones, Kelly Beeman, Kelly Freas, Kelly Hoppen, Kelly McKernan, Kelly Wearstler, Ken Domon, Ken Fulk, Ken Sugimori, Kenneth Anger, Kenneth Josephson, Kenneth Noland, Kenneth Snelson, Kenojuak Ashevak, Kenro Izu, Kent Monkman, Kenzo, Kerby Rosanes, Kerem Beyit, Kerry James Marshall, Kestutis Kasparavicius, Kevin Carter, Kevin Maguire, Kevin McNeal, Kevin Nowlan, Kevin Siers, Kevin Sloan, Kevin Wada, Kewpie doll, Khokhloma, Kidrobot, Kilian Eng, Kim Keever, Kingdom Hearts, Kinuko Y. Craft, Kirlian photography, Kirsty Mitchell, Kishangarh painting, Kishin Shinoyama, Kitty Lange Kielland, Klaus Frahm, Knox Martin, Kokeshi doll, Koloman Moser, Konstantin Chaykin, Konstantin Grcic, Konstantin Razumov, Koson Ohara, Kourtney Roy, Krampusnacht festival mask, Krenz Cushart, Kris Knight, Kris Van Assche, Kristina Makeeva, Kubo And The Two Strings, Kukeri, Kurt Geiger, Kurt Hutton, Kurt Wenner, Kurzgesagt, Kuzma Petrov-Vodkin, Kwakiutl mask, Kyffin Williams, Kylli Sparre, Kyoto Animation studio, LaToya Ruby Frazier, Ladislav Sutnar, Lalaloopsy, Lalla Essaydi, Lantern-lit, Larry Bell, Larry MacDougall, Larry Towell, Larry Zox, Lascaux, Latex texture, Lath art, Laura Ashley, Laura Callaghan, Laura Iverson, Laura Makabresku, Laurent Parcelier, Laurie Lipton, Laurie Simmons, Lawren Harris, Lawrence Weiner, Layered composition, Layered paper, LeRoy Grannis, Lee Bermejo, Lee Friedlander, Lee Jae-Hyo, Lee Krasner, Lee Middleton doll, Lee Mullican, Legend of the Cryptids, Leigh Bowery, Len Lye, Leo Caillard, Leo Fender, Leo Villareal, Leo and Diane Dillon, Leon Bonnat, Leon Golub, Leon Kossoff, Leon Tukker, Leonard Freed, Les Paul, Leszek Bujnowski, Levi Strauss, Lewis Morley, Li Hongbo, Li Wei, Liam Brazier, Liam Gillick, Lieke Van der Vorst, Light atmosphere, Light colors, Lilia Alvarado, Lilla Cabot Perry, Lim Heng Swee, Limbourg brothers, Lina Bo Bardi, Linda Ravenscroft, Lindisfarne Gospels, Linnea Strid, Lisa Congdon, Lisa Golightly, Lisa Graa Jensen, Lisa Holloway, Lisa Parker, Lisa Pressman, Lisbeth Zwerger, Lisi Martin, Lit by lightning, Lita Cabellut, Lite Brite art, Liu Bolin, Lizzie Fitch, Lois Dodd, Lois Greenfield, Long exposure photography, Loomis Dean, Looney Tunes, Loretta Lux, Lori Earley, Lori Nix, Lorser Feitelson, Louella Pettway, Loui Jover, Louis Comfort Tiffany, Louis Faurer, Louis Janmot, Louis Marcoussis, Louis Rhead, Louis Ritman, Louis Stettner, Louis Valtat, Louise Balaam, Louise Dahl-Wolfe, Louise Lawler, Louise McNaught, Louise Nevelson, Lovis Corinth, Low key photography, Low vantage point view, Low-hanging fog, Lowell Herrero, Lubaina Himid, Luc Tuymans, Luca Giordano, Luca della Robbia, Lucas Cranach the Elder, Lucas Cranach the Younger, Lucas Foglia, Lucha Libre mask, Lucia Heffernan, Lucia Rafanelli, Lucie Rie, Lucien Clergue, Lucien Pissarro, Lucienne Day, Lucio Fontana, Lucy Glendinning, Lucy Grossmith, Lucy Madox Brown, Ludwig Deutsch, Ludwig Favre, Ludwig Meidner, Luigi Ghirri, Luigi Loir, Luigi Russolo, Luis Barragan, Luis Bunuel, Luis Ricardo Falero, Luke Chueh, Luke Jerram, Luminous colors, Lygia Clark, Lynd Ward, Lynda Barry, Lynette Yiadom-Boakye, Lynn Hershman Leeson, Lyonel Feininger, MVRDV, Mab Graves, Mabel Lucie Attwell, Maciej Kuciara, Macro view, Madeleine Vionnet, Madeline Weinrib, Magali Villeneuve, Magdalena Abakanowicz, Maggie Holmes, Maggie Taylor, Magic: The Gathering, Magical atmosphere, Mai Thu Perret, Maira Kalman, Malcolm Liepke, Malika Favre, Mamoru Hosoda, Mana Neyestani, Maneki-neko, Manfred Kielnhofer, Manolo Blahnik, Maori art, Map, Maquette, Marbled texture, Marc Adamus, Marc Allante, Marc Johns, Marc Muench, Marc Newson, Marc Riboud, Marcantonio Raimondi, Marcel Duchamp, Marcel Janco, Marcel Mouly, Marcello Barenghi, Marco Mazzoni, Mardi gras mask, Margaret Macdonald Mackintosh, Margaret Tarrant, Margarita Kareva, Maria Sibylla Merian, Marian Kamensky, Marianne North, Marianne von Werefkin, Mariano Vivanco, Marie Spartali Stillman, Mariko Mori, Marimekko, Marine photography, Marino Marini, Mario Botta, Mario Buatta, Mario Sorrenti, Marion Peck, Marjolein Bastin, Mark Bagley, Mark Brooks, Mark Fiore, Mark Grotjahn, Mark Hearld, Mark Knight, Mark Manders, Mark Riddick, Mark Ruwedel, Mark Schultz, Mark Shaw, Mark Spain, Mark Waid, Mark Wallinger, Mark di Suvero, Marsden Hartley, Marsel van Oosten, Marta Abad Blay, Martin Deschambault, Martin Johnson Heade, Martin Lewis, Martin Margiela, Martin Rowson, Martin Schongauer, Martina Hoogland Ivanow, Martyn Turner, Marvel, Mary Anning, Mary Cassatt, Mary Charles, Mary Delany, Mary Engelbreit, Mary Quant, Mary Sibande, Masaaki Sasamoto, Masaaki Yuasa, Masahisa Fukase, Masamune Shirow, Masao Yamamoto, Mass Effect, Massimiliano Fuksas, Massimo Vitali, Massive scale, Mat Collishaw, Mati Klarwein, Matt Adnate, Matt Furie, Matt Mahurin, Matt Rhodes, Matt Sesow, Matt Wuerker, Matte texture, Matteo Massagrande, Matthaus Merian the Elder, Matthew Pillsbury, Matthias Grunewald, Matthias Haker, Matthias Heiderich, Maud Humphrey, Maud Lewis, Max Beckmann, Max Bill, Max Gimblett, Max Pechstein, Max Rive, Max Weber, Maximalist composition, Maxime Maufra, Maximilien Luce, Maya Deren, Maya Lin, Mayan art, Maynard Dixon, Mead Schaeffer, Medieval Bestiary, Medieval Codex, Mega man, Megan Hess, Megan Massacre, Meghan Howland, Mehndi, Meiji Period photography, Meindert Hobbema, Mel Bochner, Mel Ramos, Melancholic atmosphere, Melissa Launay, Melozzo da Forli, Melvin Sokolsky, Memphis design, Meredith Frampton, Meredith Marsone, Mert Alas, Mert Otsamo, Mert and Marcus, Metal Gear Solid, Metallic colors, Mexican muralism, Miami Vice, Michael Ancher, Michael Aram, Michael Borremans, Michael Breitung, Michael Carson, Michael Cheval, Michael Cho, Michael Craig-Martin, Michael Creese, Michael Eastman, Michael Garmash, Michael Heizer, Michael Humphries, Michael Hussar, Michael Hutter, Michael Kidner, Michael Lang, Michael Leunig, Michael Page, Michael Parkes, Michael Ramirez, Michael Shapcott, Michael Sowa, Michael Sweerts, Michael Thonet, Michael de Adder, Michel Comte, Michelangelo, Micrographia, Mid-century modern, Midday, Miffy, Miho Hirano, Mika Ninagawa, Mikalojus Konstantinas Ciurlionis, Mike Luckovich, Mike Peters, Mike Zeck, Miles Redd, Millie Marotta, Millimeter squared paper, Milo Manara, Milt Kahl, Milton Avery, Mindy Sommers, Minecraft, Miniature scale, Minimalist composition, Minjae Lee, Minkowski diagram, Minoan art, Minor Martin White, Mira Schendel, Miroslav Sasek, Misty, Mitch Dobrowner, Mitsumasa Anno, Miyamoto Musashi, Mo Willems, Moche art, Moebius, Moises Levy, Molang, Molecular model, Molly Brett, Molly Harrison, Momiji Message Dolls, Mondo Guerra, Monica Blatton, Monica Bonvicini, Monique Lhullier, Monir Shahroudy Farmanfarmaian, Monochrome colors, Monokubo, Moonlit, Morag Myerscough, Morgan Maassen, Morgan Weistling, Morphsuits, Mort Kunstler, Mort Walker, Mortal Kombat, Mothmeister, Motion blur, Moxie Girlz, Mr. Brainwash, Mr. Potato Head, Muted colors, My Little Pony, Nacho Carbonell, Naeem Khan, Namibian Ovambo mask, Nancy Noel, Naoya Hatakeyama, Narayan Shridhar Bendre, Natalia Goncharova, Nate Beeler, Nate Berkus, Nathalie Du Pasquier, National Geographic magazine, Natural lighting, Naum Gabo, Navid Baraty, Nazca lines, Ndebele art, Neil Blevins, Neil Harbisson, Neil Krug, Neil Leifer, Nendoroid, Neon colors, Netsuke, Neutral Color Scheme, Nicholas Alan Cope, Nicholas Hilliard, Nick Anderson, Nick Gentry, Nick Park, Nickelodeon, Nickolas Muray, Nico Delort, Nicolai Fechin, Nicolas Bruno, Nicolas Delort, Nicolas Mignard, Nicolas Poussin, Nicolas de Stael, Nicole Eisenman, Nigel van Wieck, Night, Nike Savvas, Niki Boon, Niki de Saint Phalle, Nina Chanel Abney, Nina Leen, Nina Ricci, Nirav Patel, Njideka Akunyili Crosby, Nkisi figure, Noah Bradley, Nobuo Sekine, Noell Oszvald, Noemie Goudal, Noh Theater mask, Nona Faustine, Nona Limmen, Nora Heysen, Noriyoshi Ohrai, Norm Breyfogle, Norman Bel Geddes, Norman Bluhm, Norman Cornish, Norman Lewis, Norman Lindsay, Norman McLaren, Norman Parkinson, Northern lights, Norval Morrisseau, Nuragic mask, Nuremberg Chronicle, Nychos, Odilon Redon, Ogham, Oily texture, Ok go, Oleg Cassini, Oleg Zhivetin, Olek, Olha Darchuk, Olimpia Zagnoli, Oliver Stone, Olivier Coipel, Olivier Mosset, Olivier Theyskens, Oliviero Toscani, Olly Moss, Olmec art, Omar Galliani, Omar Victor Diop, On Kawara, Ori Gersht, Orla Kiely, Orlan, Orthographic view, Oscar Tuazon, Osman Hamdi Bey, Oswald Achenbach, Otto Schmidt, Ottoman art, Outsider art, Overhead view, Oxana Zaika, PJ Crook, Pablo Lobato, Pac-Man, Pacita Abad, Paco Rabanne, Paige Evans, Pallava architecture, Panoramic composition, Panoramic view, Paola Navone, Paola Pivi, Paolo Uccello, Paolo Veronese, Papercraft, Parametric art, Parametric drawing, Paresh Nath, Parquetry, Pascale Marthine Tayou, Pastel colors, Pat Bagley, Patek Philippe, Patent drawing, Patricia Polacco, Patricia Voulgaris, Patrick Chappatte, Patrick Heron, Patrick Seymour, Paul Cadden, Paul Caponigro, Paul Delvaux, Paul Gustav Fischer, Paul Guy Gantner, Paul Hedley, Paul Jenkins, Paul Kaptein, Paul Kenton, Paul Lovering, Paul Lung, Paul Nash, Paul Pelletier, Paul Poiret, Paul Rader, Paul Ranson, Paul Rudolph, Paul Rumsey, Paul Serusier, Paul Signac, Paul Souders, Paul Wonner, Paul-Cesar Helleu, Paulo Mendes da Rocha, Paulo Zerbato, Paulus Potter, Pawel Kuczynski, Pearlescent colors, Peder Balke, Pedro Friedeberg, Peeling texture, Pejac, Pennie Smith, Percy Tarrant, Peregrine Heathcote, Perspective drawing, Petah Coyne, Pete McKee, Pete Souza, Pete Turner, Peter Adderley, Peter Bagge, Peter Basch, Peter Beard, Peter Behrens, Peter Blake, Peter Brookes, Peter Callesen, Peter Coulson, Peter Dombrovskis, Peter Dundas, Peter Eisenman, Peter Elson, Peter Fischli and David Weiss, Peter Halley, Peter Henry Emerson, Peter Holme III, Peter Howson, Peter Hujar, Peter Ilsted, Peter Kemp, Peter Kuper, Peter Lik, Peter Lippmann, Peter Marino, Peter Max, Peter McKinnon, Peter Mendelsund, Peter Mitchev, Peter Mohrbacher, Peter Nottrott, Peter Robert Keil, Peter Sculthorpe, Peter Shire, Peter Turnley, Peter Voulkos, Peter Wileman, Petra Cortright, Petrina Hicks, Petros Afshar, Phase diagram, Phil Hester, Phil Jimenez, Phil Koch, Phil Noto, Phil Tippett, Philip Guston, Philip Jackson, Philip Jones Griffiths, Philip McKay, Philip Pearlstein, Philip Taaffe, Philip Toledano, Philip Treacy, Philip-Lorca diCorcia, Philipp Plein, Philippe Caza, Philippe Faraut, Philippe Geluck, Philippe Parreno, Philippe de Champaigne, Phlegm, Phoebe Anna Traquair, Phyllida Barlow, Phyllis Galembo, Pier Luigi Nervi, Pier Paolo Pasolini, Piero Fornasetti, Piero Manzoni, Pierre Adolphe Valette, Pierre Alechinsky, Pierre Bonnard, Pierre Huyghe, Pierre Jeanneret, Pierre Paulin, Pierre Pellegrini, Pierre Puvis de Chavannes, Pierre-Auguste Cot, Pierre-Jacques Pelletier, Piet Hein Eek, Piet Oudolf, Piet Parra, Pieter Aertsen, Pieter Bruegel the Elder, Pieter Claesz, Pieter Hugo, Pieter de Hooch, Pieter-Jansz van Asch, Pietro Antonio Rotari, Pietro Bernini, Pietro Perugino, Pietro da Cortona, Pinturicchio, Pipilotti Rist, Pitted texture, Pixar studio, Pixelscape, Plague doctor mask, Playful atmosphere, Point cloud, Pol Ledent, Polixeni Papapetrou, Pompeian fresco, Porous texture, Poul Henningsen, Poul Kjaerholm, Pouring rain, Preppy fashion, Primary colors, Prince of Persia, Prismatic texture, Product photography, Propaganda art, Prudence Heward, Prue Stent & Honey Long, Psychedelic colors, Puuung, Quino, R. K. Laxman, RHADS, RJ Matson, Rachel Bingaman, Rackstraw Downes, Radial composition, Radiographic image, Rafael Moneo, Rafael Vinoly, Rafal Olbinski, Raghu Rai, Ragnar Axelsson, Rainer Fetting, Rainer Werner Fassbinder, Rainy, Ralph Gibson, Ralph Horsley, Ralph Rucci, Rammellzee, Ran Ortner, Randal Spangler, Randall Munroe, Rangoli, Rankin, Rankin Bass, Raphael Lacoste, Raphael Perez, Raphaelle Peale, Raqib Shaw, Rashid Johnson, Raw texture, Ray Caesar, Ray Johnson, Raymond Briggs, Raymond Depardon, Raymond Loewy, Raymond Swanland, Rebeca Saray, Rebecca Sugar, Red Dead Redemption, Red Grooms, Reem Acra, Remedios Varo, Renato Guttuso, Rene Burri, Rene Lalique, Resident Evil, Resin art, Revok, Richard Anderson, Richard Anuszkiewicz, Richard Billingham, Richard Burlet, Richard Caldicott, Richard Dadd, Richard Deacon, Richard Diebenkorn, Richard Doyle, Richard Edward Miller, Richard Estes, Richard Eurich, Richard Hambleton, Richard Hamilton, Richard Lindner, Richard Lippold, Richard McGuire, Richard Mosse, Richard Neutra, Richard Parkes Bonington, Richard Phillips, Richard Pousette-Dart, Richard S. Johnson, Richard Schmid, Richard Tuschman, Richard Tuttle, Rick Amor, Rick Baker, Rick McKee, Rick Remender, Rick and Morty, Rie Cramer, Riitta Ikonen, Rimel Neffati, Rineke Dijkstra, Rinko Kawauchi, Rio Carnival float, Rippled texture, Risograph, Rita Angus, Rob Hefferan, Rob Rogers, Rob Ryan, Robert Adams, Robert Arneson, Robert Bateman, Robert Bechtle, Robert Bissell, Robert Campin, Robert Colescott, Robert Cottingham, Robert Doisneau, Robert Frank, Robert Gillmor, Robert Gober, Robert Hagan, Robert Henri, Robert Indiana, Robert Irwin, Robert Kirkman, Robert Longo, Robert Lyn Nelson, Robert Mangold, Robert McCall, Robert McGinnis, Robert Montgomery, Robert Morris, Robert Munsch, Robert Polidori, Robert Reid, Robert Ryman, Robert Smithson, Robert Swain Gifford, Robert Vonnoh, Robert Williams, Robert Wyland, Robert Zemeckis, Roberto Burle Marx, Roberto Cavalli, Roberto Matta, Roberto Rossellini, Robin Moline, Rockabilly fashion, Rockwell Kent, Roe Ethridge, Roeselien Raimond, Roger Bezombes, Roger Fenton, Roger Fry, Roger Hargreaves, Roger Hiorns, Roger Mayne, Roger Vivier, Rogier van der Weyden, Rolf Armstrong, Rolling Stone magazine, Roly-poly doll, Romain Trystram, Roman Vishniac, Roman mosaic, Romance movie, Romare Bearden, Romina Ressia, Romulo Royo, Ron Arad, Ron Clements, Ron Mueck, Ron Tandberg, Ron Walotsky, Ronald Searle, Ronald Wimberly, Ronan and Erwan Bouroullec, Rone, Roni Horn, Ronnie Landfield, Rosa Bonheur, Rosalba Carriera, Rosalyn Drexler, Rose Wylie, Rossdraws, Rosso Fiorentino, Rough surface, Rough texture, Roxy Paine, Roy DeCarava, Roz Chast, Ruben Ireland, Rudolf Ernst, Rudolf Olgiati, Rui Palha, Rupert Bunny, Rupert Vandervell, Ruslan Lobanov, Russ Heath, Russell Young, Rusty Lake, Ruth Asawa, Ruth Bernhard, Ruth Orkin, Ruth Sanderson, Ruud van Empel, Ryan Gander, Ryan Hewett, Ryan McGinley, Ryan McGinness, Ryan Ottley, Ryan Sook, Ryan Stegman, Ryo Takemasa, Sabine Weiss, Sachin Teng, Saint Seiya, Sakimichan, Sally Cruikshank, Salvatore Ferragamo, Sam Chivers, Sam Maloof, Sam Raimi, Sama Calligraphy, Samoan art, Sandra Boynton, Sandra Chevrier, Sandra Silberzweig, Sandro Botticelli, Sandy Welch, Saner, Sanford Biggers, Sanford Robinson Gifford, Sanne Sannes, Santiago Caruso, Santiago Rusinol, Sara Riches, Sarah Joncas, Sarah Lucas, Sardax, Satellite view, Satin texture, Satoru Takizawa, Saturated colors, Satyajit Ray, Saul Leiter, Saul Steinberg, Saul Tepper, Scandi chic fashion, Schematic diagram, Schematics, Sci-fi movie, Scott Adams, Scott Listfield, Scott McCloud, Scott Naismith, Scott Pilgrim, Scott Rohlfs, Scrapbooking, Sealab 2021, Sean Bagshaw, Sean Scully, Sean Yoro, Sebastian Errazuriz, Sebastiano del Piombo, Sebastiao Salgado, Sectional view, Seismogram, Selective Colouring, Sepia tones, Serene atmosphere, Serge Attukwei Clottey, Serge Lutens, Serge Marshennikov, Serge Mouille, Serge Najjar, Serge Poliakoff, Sergei Diaghilev, Sergio Larrain, Sergio Pininfarina, Sergio Toppi, Sesame Street, Seth Globepainter, Seven Samurai, Seydou Keita, Sgraffito, Shabby chic fashion, Shadowed lighting, Sheila Hicks, Sherree Valentine-Daines, Sherry Akrami, Shigeo Fukuda, Shin hanga, Shinichi Maruyama, Shintaro Kago, Shirin Neshat, Shirley Hughes, Shohei Otomo, Shomei Tomatsu, Shopkins Shoppies, Shozo Shimamoto, Shrek, Shuji Terayama, Shusei Nagaoka, Side view, Sidney Nolan, Sidney Sime, Sigmar Polke, Signe Wilkinson, Silhouette, Silvestro Lega, Simen Johan, Simeon Solomon, Simon Birch, Simon Bisley, Simon Kenny, Simon Palmer, Simon Schubert, Simon Vouet, Simone Rocha, Sion Sono, Slick texture, Slim Aarons, Slinkachu, Small scale, Smooth texture, Snowy, Sofonisba Anguissola, Soft lighting, Sohrab Hura, Sol LeWitt, Solve Sundsbo, Somber atmosphere, Sonia Boyce, Sonia Delaunay, Sonia Rykiel, Sonic the Hedgehog, Sopheap Pich, Sophie Delaporte, Sophie Gamand, Sophie Gengembre Anderson, Sophie Taeuber-Arp, Sou Fujimoto, Sound wave diagram, South Park, Space Invaders, Spartacus Chetwynd, Sparth, Spectral texture, Spectrogram, Speedy Graphito, Split view, SpongeBob SquarePants, Spotlight lighting, Spreadsheet, Spring, Spy movie, Squared paper, Squeak Carnwath, Stage lighting, Stan Berenstain, Stan Brakhage, Stan Winston, Stanhope Forbes, Stanko Abadzic, Stanley Donwood, Stanley Greene, Stanley Spencer, Star Trek, StarCraft, Starlit, Statistical graph, Stefan Gesell, Stefanie Schneider, Stencil graphics, Stephan Pastis, Stephanie Law, Stephen Darbishire, Stephen Hillenburg, Stephen Mackey, Stephen Ormandy, Stephen Quiller, Stephen Shortridge, Stephen Wilkes, Stephen Wiltshire, Stevan Dohanos, Steve Bell, Steve Cutts, Steve Dillon, Steve Epting, Steve Hanks, Steve Henderson, Steve Kelley, Steve McCurry, Steve McNiven, Steve Sack, Steven Harrington, Steven Meisel, Steven Outram, Sticker illustration, Stik, Stjepan Sejic, Storm Thorgerson, Stormy, Strandbeest, Strawberry Shortcake doll, Street Fighter, Streetview, Streetwear, Stuart Davis, Stuart Haygarth, Stuart Immonen, Stuart Lippincott, Studio Ghibli, Studio lighting, Su Blackwell, Subdued tones, Subodh Gupta, Sudarsan Pattnaik, Sue Reno, Sulamith Wulfing, Sumerian death mask, Summer, Sung Kim, Sunset, Super Mario, Superjail!, Susan Hiller, Susan Kare, Susan Rios, Susan Seddon Boulet, Suzanne Lalique, Suzanne Valadon, Suzuki Harunobu, Sven Pfrommer, Sverre Fehn, Sylvain Sarrailh, Sylvie Guillot, Symmetrical composition, Synchromism, TCG artwork, Tailored fashion, Takashi Homma, Takehiko Inoue, Tamagotchi, Tamas Dezso, Tammam Azzam, Tania Bruguera, Tara Donovan, Tara McPherson, Tarot de Marseille, Tatsunoko Production studio, Tatsuro Kiuchi, Taylor Wessing, Teagan White, Ted DeGrazia, Ted Gore, Ted McKeever, Ted Rall, Teddy Boys fashion, Teen Titans, Teenage Mutant Ninja Turtles, Teletubbies, Tense atmosphere, Terence Cuneo, Terence Donovan, Terry Isaac, Terry Oakes, Terry Redlin, Tetris, Teun Hocks, Tex Avery, Textured surface, The Adventures of Asterix, The Adventures of Tintin, The Elder Scrolls, The Flintstones, The Grand Budapest Hotel, The Lord of the Rings, The Matrix, The New Yorker magazine, The Secret of Kells, The Simpsons, The Sims, The Sopranos, The Tatami Galaxy, The White Stripes, The Witcher, The X-Files, Theaster Gates, Theo Prins, Theo van Doesburg, Theo van Rysselberghe, Theodor Kittelsen, Theodore Chasseriau, Theodore Gericault, Theodore Robinson, Theodore Rousseau, Theophile Steinlen, Thiago Valdi, Thierry Duval, Thom Browne, Thom Filicia, Thom Mayne, Thomas Ascott, Thomas Barbey, Thomas Benjamin Kennington, Thomas Birch, Thomas Blackshear, Thomas Chippendale, Thomas Cole, Thomas Daniell, Thomas Dewing, Thomas Dodd, Thomas Eakins, Thomas Edwin Mostyn, Thomas Gainsborough, Thomas Hart Benton, Thomas Heatherwick, Thomas Hirschhorn, Thomas Kinkade, Thomas Lawrence, Thomas Leuthard, Thomas Moran, Thomas Nast, Thomas Rowlandson, Thomas Ruff, Thomas Saliot, Thomas Schaller, Thomas Struth, Thomas Sully, Thomas Theodor Heine, Thomas Wrede, Thornton Utz, Thota Vaikuntam, ThunderCats, Thunderstorm, Thurston Hopkins, Tiago Hoisel, Tiki mask, Tillie Walden, Tilted view, Tim Biskup, Tim Bradstreet, Tim Doyle, Tim Etchells, Tim Hawkinson, Tim Hildebrandt, Tim Holtz, Tim Noble, Tim Okamura, Tim Shumate, Time magazine, Time-lapse photography, Timothy Easton, Tina Barney, Tina Modotti, Tintoretto, Tithi Luadthong, Titian, Tlingit art, Tlingit mask, Tobia Scarpa, Tod Browning, Todd Hido, Todd James, Todd McLellan, Todd Nauck, Todd White, Toei Animation studio, Tokujin Yoshioka, Tokusatsu, Tokyo Ghoul, Tom Bagshaw, Tom Eckersley, Tom Everhart, Tom Fruin, Tom Gauld, Tom Grummett, Tom Killion, Tom Lovell, Tom Otterness, Tom Sachs, Tom Thomson, Tom Toles, Tom Tomorrow, Tom Wesselmann, Tom Whalen, Tom and Jerry, Tom of Finland, Tomas Saraceno, Tomasz Alen Kopera, Tomer Hanuka, Tomi Ungerer, Tomie dePaola, Tomma Abts, Tomokazu Matsuyama, Tomoo Gokita, Ton Dubbeldam, Tony Allain, Tony Conrad, Tony DeZuniga, Tony Fitzpatrick, Tony Moore, Tony Orrico, Top view, Topology map, Torito mask, Tory Burch, Toshio Shibata, Toyin Ojih Odutola, Tracey Adams, Tracy Miller, Tracy Reese, Tracy Scott, Traditional Scroll Painting, Tranquil atmosphere, Translucent colors, Trash Polka, Treemap, Trent Parke, Trevor Paglen, Trey Ratcliff, Trisha Romance, Tsukioka Yoshitoshi, Tsumori Chisato, Twin Peaks, Tyler Edlin, UV colors, Ugo Rondinone, Ukrainian folk art, Umberto Boccioni, Underwater lighting, Utamaro, VS Gaitonde, Vacheron Constantin, Val Byrne, Valentine Cameron Prinsep, Valentino, Valerio Adami, Vamberk lace, Vania Zouravliov, Vector chip line art, Vector field, Veined texture, Venetian carnival mask, Vera Wang, Vermiculation texture, Versus, Vibrant colors, Vicki Boutin, Victor Brauner, Victor Moscoso, Victoria Frances, Victorian era cabinet card, Vienna Secession, Vilhelm Hammershoi, Vince Low, Vincent Castiglia, Vincent Di Fate, Vincent Giarrano, Vincent Laforet, Vincent Munier, Vincent Peters, Vinoodh Matadin, Virgil Finlay, Vittore Carpaccio, Viviane Sassen, Vivienne Tam, Vladimir Tretchikoff, Vladimir Volegov, Vogue magazine, Voronoi diagram, Voynich manuscript, WLOP, WRDSMTH, Wabi-sabi, Walasse Ting, Walt Disney, Walt Handelsman, Walter Langley, Walter Lantz, Walter Molino, Walter Quirt, Wang Guangyi, Warcraft, Warhammer 40,000, Warm colors, Warner Bros, Warren Ellis, Warren Keelan, Warwick Goble, Weather map, Weathered surface, Wendell Castle, Wendy Froud, Wendy Vecchi, Werner Bischof, Wes Craven, Wes Wilson, Westworld, Wet texture, Wharton Esherick, What We Do In The Shadows, Where is Waldo, Whimsical atmosphere, Wide-angle view, Wildlife Art, Wilfredo Lam, Will Bullas, Will Burrard-Lucas, Willem Claesz. Heda, Willem van der Velde, William Blake, William Clarke Wontner, William H. Johnson, William Harnett, William Heath Robinson, William Henry Fox Talbot, William Holman Hunt, William Kay Blacklock, William Merritt Chase, William Mortensen, William Patino, William Powell Frith, William Stanley Haseltine, William Steig, William Tillyer, William Wendt, William de Morgan, William-Aldophe Bouguereau, Willy Ronis, Wim Delvoye, Winfred Rembert, Winifred Nicholson, Winnie-the-Pooh, Winslow Homer, Winter, Wireframe, Wiring diagrams, Wolf Kahn, Wolfenstein 3D, Wolfgang Laib, Woody, Wotto, Woven texture, Wyndham Lewis, Xenia Hausner, Xkcd, Yanjun Cheng, Yann Arthus-Bertrand, Yasuo Kuniyoshi, Yener Torun, Yiannis Moralis, Yinka Ilori, Yonatan Frimer, Yossi Kotler, Yousuf Karsh, Yu-Gi-Oh, Yuri Shwedoff, Yuriy Shevchuk, Yusaku Kamekura, Yves Brayer, Yves Tanguy, Zak Noyle, Zandra Rhodes, Zao Wou-Ki, Zapatista mask, Zapiro, Zaria Forman, Zarina Hashmi, Zemer Peled, Zentangle, Zhang Daqian, Zimoun, Zio Ziegler".Split(',', StringSplitOptions.None).ToList();
+            return artists.OrderBy(el => random.Next()).ToList().First().Trim();
+        }
+
+        public Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
+        {
+            var artist = GetRandomArtist();
+            var newVersion = $"In the style of {artist}, {pd.Prompt}";
+            pd.ReplacePrompt(newVersion, newVersion, TransformationType.AddingArtistStyle);
+
+            return Task.FromResult(true);
+        }
+    }
+}
diff --git a/MultiImageClient/prompts.txt b/MultiImageClient/prompts.txt
index bdfcbaa..e9a1932 100644
--- a/MultiImageClient/prompts.txt
+++ b/MultiImageClient/prompts.txt
@@ -1,8 +1,8 @@
-
-The streets of Singapore are bustling with people and various street food stalls, creating a lively and multicultural atmosphere. The area is full of guava, cheese, broccoli, kimchi, hardboiled eggs, vinegar, and durian. Each smell seems to waft through the crowd attacking people and animals who are particularly weak to it, striking them with brutal overwhelming negative sensations. This is a biological weapon attack! the image is a schema overhead view with detailed performance analysis
-A light switch that is clearly in the "ON" not "OFF" position. Please describe this close-up 3d depth image in high detail exactly describing the light switch panel and its material and color, the switch which sticks out, its position and what the position represents.
-A 4x4 grid of super magiscule, block font dense intense incredibly meaningful, profound, ethereal, and subtle KANJI characters. The characters are illustrated in super high resolution, partially 3d style, feeling like they almost emerge from the flat screen, in a super clear image utilizing one or more of: subtle coloration, unusual line thicknesses or variations, unusual kerning, pen and ink, hand-drawn custom artisinal creative characters, and/or super evocative, personalized textures.  
-Introducing the "Rogue" card, an exciting new addition between the Queen and Jack of Diamonds in a standard playing card deck. The Rogue card features a dashing figure with a masked face, holding a small, curved dagger. The figure is adorned with a cape and a diamond-encrusted hat, symbolizing the connection to the Diamonds suit. The single-letter symbol for the Rogue card is "X", which is displayed in each corner along with the suit of Diamonds. The card's design maintains the simplicity of traditional playing cards, with the "X" and diamonds in the corners and a captivating, yet minimalist, pattern in the middle, featuring a subtle diamond-like motif. The Rogue card captures the essence of cunning and deception, adding an exciting twist to the classic deck.
-🥕 attacking 🐢 with 🦊
-Here's a 30x30 ASCII art map of the oasis, focusing on your desired features and incorporating creative engineering solutions:\r\n\r\n+------------------------------+\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🐟🐟🐟🐟🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊\U0001f986\U0001f986\U0001f986🐟🐟🐟🐟\U0001f986\U0001f986\U0001f986🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌿🌿\U0001f986\U0001f986\U0001f986🌿🌿🌿🌿\U0001f986\U0001f986\U0001f986🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌿🐸🐸🐸🐸🐸🌿🌿🌿🌿🐸🐸🐸🐸🐸🌿🌊🌊|\r\n|🌊🌊🌿🌿🌿🐸🐸🐸🐸🐸🌿🌿🌿🌿🐸🐸🐸🐸🐸🌿🌿🌊|\r\n|🌊🌊🌿🌴🌴🌴🌴🌴🌴🌴🌴🐦🐦🐦🌴🌴🌴🌴🌴🌴🌿🌊|\r\n|🌊🌿🌿🌴🌴🌴🌴🌴🌴🌴🌴🐦🐦🐦🌴🌴🌴🌴🌴🌴🌿🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️🍂🍂🍂🍂🍂🍂🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🐕🐈🐕🐈🍂🍂🍂🍂🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🐕🐈🐕🐈🍂🍂🍂🍂🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂\U0001f98c\U0001f98c\U0001f98c\U0001f98c🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂\U0001f98c\U0001f98c\U0001f98c\U0001f98c🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌿🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌿🌿|\r\n|🌊🌊🌿🌿🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌿🌿🌊|\r\n|🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊|\r\n|🌊🌊🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n+------------------------------+\r\n\r\nLegend:\r\n🌊 = Water (lake and wetland areas)\r\n🐟 = Fish (attracted by the oasis)\r\n\U0001f986 = Ducks (attracted by the water and aquatic plants)\r\n🌿 = Reeds and aquatic plants (natural filtration system)\r\n🐸 = Frogs (indicator of ecosystem health)\r\n🌴 = Solar-powered robotic trees (provide shade, dispense bird seed, and monitor bird populations)\r\n🐦 = Various bird species (attracted by the oasis and bird feeders)\r\n🌾 = Tall grass (natural habitat for small animals)\r\n🍂 = Sensor-equipped deciduous trees (monitor environmental conditions and wildlife activity)\r\n🐿️ = Squirrels (attracted by the bird seed and trees)\r\n\U0001f985 = Eagles (attracted by the abundant prey and nesting opportunities)\r\n🐕🐈 = Visitor area with pet-friendly amenities\r\n\U0001f98c = Deer (attracted by the lush vegetation and water sources)\r\n\r\nEngineering features:\r\n\r\n    Solar-powered robotic trees that provide shade, dispense bird seed, and monitor bird populations using built-in cameras and sensors\r\n    Sensor-equipped deciduous trees that monitor environmental conditions (temperature, humidity, air quality) and wildlife activity\r\n    A natural filtration system using reeds and aquatic plants to maintain water quality in the lake and wetland areas\r\n    Strategically placed bird feeders that dispense a variety of seeds to attract a diverse range of bird species while minimizing access for rats and pests\r\n    An intelligent pest management system that uses ultrasonic devices and targeted scent deterrents to keep rats and other unwanted animals away from the oasis\r\n    A network of hidden cameras and microphones throughout the oasis to monitor animal behavior, track population dynamics, and gather data for research purposes\r\n    An eco-friendly visitor area with pet-friendly amenities, educational displays, and interactive exhibits showcasing the oasis's unique features and wildlife
+
+The streets of Singapore are bustling with people and various street food stalls, creating a lively and multicultural atmosphere. The area is full of guava, cheese, broccoli, kimchi, hardboiled eggs, vinegar, and durian. Each smell seems to waft through the crowd attacking people and animals who are particularly weak to it, striking them with brutal overwhelming negative sensations. This is a biological weapon attack! the image is a schema overhead view with detailed performance analysis
+A light switch that is clearly in the "ON" not "OFF" position. Please describe this close-up 3d depth image in high detail exactly describing the light switch panel and its material and color, the switch which sticks out, its position and what the position represents.
+A 4x4 grid of super magiscule, block font dense intense incredibly meaningful, profound, ethereal, and subtle KANJI characters. The characters are illustrated in super high resolution, partially 3d style, feeling like they almost emerge from the flat screen, in a super clear image utilizing one or more of: subtle coloration, unusual line thicknesses or variations, unusual kerning, pen and ink, hand-drawn custom artisinal creative characters, and/or super evocative, personalized textures.  
+Introducing the "Rogue" card, an exciting new addition between the Queen and Jack of Diamonds in a standard playing card deck. The Rogue card features a dashing figure with a masked face, holding a small, curved dagger. The figure is adorned with a cape and a diamond-encrusted hat, symbolizing the connection to the Diamonds suit. The single-letter symbol for the Rogue card is "X", which is displayed in each corner along with the suit of Diamonds. The card's design maintains the simplicity of traditional playing cards, with the "X" and diamonds in the corners and a captivating, yet minimalist, pattern in the middle, featuring a subtle diamond-like motif. The Rogue card captures the essence of cunning and deception, adding an exciting twist to the classic deck.
+🥕 attacking 🐢 with 🦊
+Here's a 30x30 ASCII art map of the oasis, focusing on your desired features and incorporating creative engineering solutions:\r\n\r\n+------------------------------+\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🐟🐟🐟🐟🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊\U0001f986\U0001f986\U0001f986🐟🐟🐟🐟\U0001f986\U0001f986\U0001f986🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌿🌿\U0001f986\U0001f986\U0001f986🌿🌿🌿🌿\U0001f986\U0001f986\U0001f986🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌿🐸🐸🐸🐸🐸🌿🌿🌿🌿🐸🐸🐸🐸🐸🌿🌊🌊|\r\n|🌊🌊🌿🌿🌿🐸🐸🐸🐸🐸🌿🌿🌿🌿🐸🐸🐸🐸🐸🌿🌿🌊|\r\n|🌊🌊🌿🌴🌴🌴🌴🌴🌴🌴🌴🐦🐦🐦🌴🌴🌴🌴🌴🌴🌿🌊|\r\n|🌊🌿🌿🌴🌴🌴🌴🌴🌴🌴🌴🐦🐦🐦🌴🌴🌴🌴🌴🌴🌿🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️🍂🍂🍂🍂🍂🍂🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🐕🐈🐕🐈🍂🍂🍂🍂🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🐕🐈🐕🐈🍂🍂🍂🍂🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂\U0001f98c\U0001f98c\U0001f98c\U0001f98c🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂\U0001f98c\U0001f98c\U0001f98c\U0001f98c🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌿🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌿🌿|\r\n|🌊🌊🌿🌿🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌿🌿🌊|\r\n|🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊|\r\n|🌊🌊🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n+------------------------------+\r\n\r\nLegend:\r\n🌊 = Water (lake and wetland areas)\r\n🐟 = Fish (attracted by the oasis)\r\n\U0001f986 = Ducks (attracted by the water and aquatic plants)\r\n🌿 = Reeds and aquatic plants (natural filtration system)\r\n🐸 = Frogs (indicator of ecosystem health)\r\n🌴 = Solar-powered robotic trees (provide shade, dispense bird seed, and monitor bird populations)\r\n🐦 = Various bird species (attracted by the oasis and bird feeders)\r\n🌾 = Tall grass (natural habitat for small animals)\r\n🍂 = Sensor-equipped deciduous trees (monitor environmental conditions and wildlife activity)\r\n🐿️ = Squirrels (attracted by the bird seed and trees)\r\n\U0001f985 = Eagles (attracted by the abundant prey and nesting opportunities)\r\n🐕🐈 = Visitor area with pet-friendly amenities\r\n\U0001f98c = Deer (attracted by the lush vegetation and water sources)\r\n\r\nEngineering features:\r\n\r\n    Solar-powered robotic trees that provide shade, dispense bird seed, and monitor bird populations using built-in cameras and sensors\r\n    Sensor-equipped deciduous trees that monitor environmental conditions (temperature, humidity, air quality) and wildlife activity\r\n    A natural filtration system using reeds and aquatic plants to maintain water quality in the lake and wetland areas\r\n    Strategically placed bird feeders that dispense a variety of seeds to attract a diverse range of bird species while minimizing access for rats and pests\r\n    An intelligent pest management system that uses ultrasonic devices and targeted scent deterrents to keep rats and other unwanted animals away from the oasis\r\n    A network of hidden cameras and microphones throughout the oasis to monitor animal behavior, track population dynamics, and gather data for research purposes\r\n    An eco-friendly visitor area with pet-friendly amenities, educational displays, and interactive exhibits showcasing the oasis's unique features and wildlife
 A 4x4 grid of super magiscule, block font dense intense incredibly meaningful, profound, ethereal, and subtle KANJI characters. The characters are illustrated in super high resolution, partially 3d style, feeling like they almost emerge from the flat screen, in a super clear image utilizing one or more of: subtle coloration, unusual line thicknesses or variations, unusual kerning, pen and ink, hand-drawn custom artisinal creative characters, and/or super evocative, personalized textures.  
\ No newline at end of file
diff --git a/MultiImageClient/settings - Fill this in and rename it.json b/MultiImageClient/settings - Fill this in and rename it.json
index acdd453..d1ae184 100644
--- a/MultiImageClient/settings - Fill this in and rename it.json	
+++ b/MultiImageClient/settings - Fill this in and rename it.json	
@@ -1,13 +1,13 @@
-{
-  "LoadPromptsFrom": "D:\\proj\\IdeogramAPI\\prompts.txt",
-  "IdeogramApiKey": "FILL IN YOUR IDEOGRAM API KEY HERE from https://ideogram.ai/manage-api which you have to pay for",
-  "OpenAIApiKey": "Optional: Fill in the OpenAI key here: from https://platform.openai.com/api-keys which you have to pay for",
-  "BFLApiKey": "Optional: Fill in the BFL key here: from https://beta.bigfriendly.com/ which you have to pay for",
-  "AnthropicApiKey": "Optionally: fill in the anthropic key here.  from https://console.anthropic.com/settings/keys which you have to pay for",
-  "ImageDownloadBaseFolder": "D:\\proj\\IdeogramAPI\\ideogramSaves",
-  "LogFilePath": "D:\\proj\\IdeogramAPI\\ideogram.log",
-  "SaveJsonLog": true,
-  "SaveRawImage": true,
-  "EnableLogging": true,
-  "AnnotationSide": "right"
+{
+  "LoadPromptsFrom": "D:\\proj\\IdeogramAPI\\prompts.txt",
+  "IdeogramApiKey": "FILL IN YOUR IDEOGRAM API KEY HERE from https://ideogram.ai/manage-api which you have to pay for",
+  "OpenAIApiKey": "Optional: Fill in the OpenAI key here: from https://platform.openai.com/api-keys which you have to pay for",
+  "BFLApiKey": "Optional: Fill in the BFL key here: from https://beta.bigfriendly.com/ which you have to pay for",
+  "AnthropicApiKey": "Optionally: fill in the anthropic key here.  from https://console.anthropic.com/settings/keys which you have to pay for",
+  "ImageDownloadBaseFolder": "D:\\proj\\IdeogramAPI\\ideogramSaves",
+  "LogFilePath": "D:\\proj\\IdeogramAPI\\ideogram.log",
+  "SaveJsonLog": true,
+  "SaveRawImage": true,
+  "EnableLogging": true,
+  "AnnotationSide": "right"
 }
\ No newline at end of file
diff --git a/djangoManager/.gitignore b/djangoManager/.gitignore
index 633cb0b..f375335 100644
--- a/djangoManager/.gitignore
+++ b/djangoManager/.gitignore
@@ -1,8 +1,8 @@
-**/env/**
-**/env2/**
-**/__pycache__/
-env/
-env2/
-.\env2\
-.\env\
+**/env/**
+**/env2/**
+**/__pycache__/
+env/
+env2/
+.\env2\
+.\env\
 djangoManager\env
\ No newline at end of file
diff --git a/djangoManager/data.html b/djangoManager/data.html
index 3480edb..473fa5a 100644
--- a/djangoManager/data.html
+++ b/djangoManager/data.html
@@ -1,177 +1,177 @@
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data-w-id="72091200-8404-be54-a490-1d5d0492d26f" class="ml-srch"><form action="/search" id="search-f" class="fx _100 al-yc m0 gp1 w-form"><input class="f-in w-input" autofocus="true" maxlength="256" name="query" placeholder="Search styles and guides..." type="search" id="search" required /><input type="submit" class="ml-button-primary btn-s w-button" value="→" /><a data-w-id="d739e627-203a-6a3b-8380-afc1c0cb02b9" data-wf-native-id-path="2e1b797e-fcae-6c50-f9af-a960c586b2c7:d739e627-203a-6a3b-8380-afc1c0cb02b9" href="#" class="c-scr">✕ Cancel</a></form></div></div><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a314-9448a314" class="b5 w-dyn-list"><div role="list" class="glr-3-w w-dyn-items"><div role="listitem" class="w-dyn-item"><a id="GraphicDesign" data-wf-native-id-path="cad57862-7d4e-76ef-4ae1-a6592a62cadc:69f7039e-45d4-1534-be61-e62a9448a317_instance-0" href="https://midlibrary.io/focus/graphic-design-in-midjourney-ai" class="ann-l w-node-_69f7039e-45d4-1534-be61-e62a9448a317-9448a314 w-inline-block"><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a318-9448a314" class="ann-cvr"><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a319-9448a314" style="background-image:url(&quot;https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66630ad28368af452cab3b97_001-SHMN-Out.jpeg&quot;)" class="ann-hro"><div class="ml-rec w-condition-invisible"></div></div></div><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31c-9448a314" class="t-sm pd-r05"><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31d-9448a314" class="ann-pt">New!</div><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31e-9448a314" class="ann-tt">Graphic Design in Midjourney</div><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31f-9448a314" class="ann-go"> →</div></div></a></div><div role="listitem" class="w-dyn-item"><a id="SREF" data-wf-native-id-path="cad57862-7d4e-76ef-4ae1-a6592a62cadc:69f7039e-45d4-1534-be61-e62a9448a317_instance-1" href="https://midlibrary.io/midguide/midjourney-style-reference-sref-for-photographers" class="ann-l w-node-_69f7039e-45d4-1534-be61-e62a9448a317-9448a314 w-inline-block"><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a318-9448a314" class="ann-cvr"><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a319-9448a314" style="background-image:url(&quot;https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66630ae326286ac2114cfcb2_Style-Reference-(--sref)-for-Photographers-001.jpeg&quot;)" class="ann-hro"><div class="ml-rec w-condition-invisible"></div></div></div><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31c-9448a314" class="t-sm pd-r05"><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31d-9448a314" class="ann-pt w-condition-invisible w-dyn-bind-empty"></div><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31e-9448a314" class="ann-tt">Style Reference (--sref) for photographers</div><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31f-9448a314" class="ann-go"> →</div></div></a></div><div role="listitem" class="w-dyn-item"><a id="GenMods" data-wf-native-id-path="cad57862-7d4e-76ef-4ae1-a6592a62cadc:69f7039e-45d4-1534-be61-e62a9448a317_instance-2" href="https://midlibrary.io/midguide/general-modifiers-in-midjourney-prompts" class="ann-l w-node-_69f7039e-45d4-1534-be61-e62a9448a317-9448a314 w-inline-block"><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a318-9448a314" class="ann-cvr"><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a319-9448a314" style="background-image:url(&quot;https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66630ad78368af452cab40e1_General-Modifiers-in-Midjourney-001.jpeg&quot;)" class="ann-hro"><div class="ml-rec w-condition-invisible"></div></div></div><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31c-9448a314" class="t-sm pd-r05"><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31d-9448a314" class="ann-pt">New!</div><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31e-9448a314" class="ann-tt">General Prompt Modifiers</div><div id="w-node-_69f7039e-45d4-1534-be61-e62a9448a31f-9448a314" class="ann-go"> →</div></div></a></div></div></div><div id="akc" fs-cmsfilter-element="filters" class="ml-lib w-form"><form id="wf-form-Styles" name="wf-form-Styles" data-name="Styles" method="get" data-wf-page-id="6629522db4ea3030cf8c509b" data-wf-element-id="dfc0eea0-0915-a2e6-c857-8a4312b638ee"><div class="ml-ctrls bd"><div class="ctrl-adv"><a data-w-id="e1cf170d-9faa-0ab6-93e0-4f3449daa6e0" data-wf-native-id-path="e1cf170d-9faa-0ab6-93e0-4f3449daa6e0" href="#" class="adv-l in b5 w-inline-block"><div>Show filters</div></a><a data-w-id="a2c71d47-d035-6bda-8393-d01e80a824d9" data-wf-native-id-path="a2c71d47-d035-6bda-8393-d01e80a824d9" href="#" class="adv-l out w-inline-block"><div>Hide filters</div></a><div class="dv"></div><div class="fx gp75 sz-g b5"><div fs-cmsfilter-element="tag-template" class="flt"><div fs-cmsfilter-element="tag-text" class="c-sk">Tag</div><div fs-cmsfilter-element="tag-remove" class="flt-x">✕</div></div></div><div class="dv"></div><div class="fx"><div fs-cmsfilter-element="results-count">5400+</div><div class="c-lg">Midjourney styles</div></div><div class="dv"></div><a fs-cmsfilter-element="reset" data-wf-native-id-path="6d154746-0962-3e19-0046-cbc70475073a" href="#" class="c-scr b5">× Reset filters</a></div><div class="dh dhw"></div><div class="ctrl-adv-h"><div class="w-dyn-list"><div role="list" class="g-flt w-dyn-items"><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-0" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Architects</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">107</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-1" style="color:#fe7200;border-color:#fe7200" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#fe7200" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#fe7200" class="ml-button-label w-form-label" for="cts">Artistic Techniques</span><div fs-cmsfilter-element="filter-results-count" style="color:#fe7200" class="ml-filter-counter">391</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-2" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Designers</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">165</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-3" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Fashion Designers</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">135</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-4" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Filmmakers</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">118</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-5" style="color:#e7494c;border-color:#e7494c" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#e7494c" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#e7494c" class="ml-button-label w-form-label" for="cts">General Modifiers</span><div fs-cmsfilter-element="filter-results-count" style="color:#e7494c" class="ml-filter-counter">175</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-6" style="color:#f8336f;border-color:#f8336f" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#f8336f" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#f8336f" class="ml-button-label w-form-label" for="cts">Genres + Art Movements</span><div fs-cmsfilter-element="filter-results-count" style="color:#f8336f" class="ml-filter-counter">311</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-7" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Illustrators</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">920</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-8" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Painters</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">1544</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-9" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Photographers</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">685</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-10" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Printmakers</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">43</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-11" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Sculptors + Installation Artists</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">236</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-12" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Street Artists</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">60</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-13" style="color:#ffcc00;border-color:#ffcc00" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#ffcc00" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#ffcc00" class="ml-button-label w-form-label" for="cts">Titles</span><div fs-cmsfilter-element="filter-results-count" style="color:#ffcc00" class="ml-filter-counter">300</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-14" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Various Artists</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">310</div></label></div></div></div><div class="dv-w"></div><div class="w-dyn-list"><div role="list" class="g-fts gpb w-dyn-items"><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-0" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Abstract</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">422</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-1" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Animals</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">427</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-2" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">BW</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">580</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-3" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Baroque</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">34</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-4" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Bold</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">77</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-5" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Bold lines</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">63</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-6" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Broad brushstrokes</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">489</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-7" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Characters</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">757</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-8" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Cinematic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">67</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-9" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Classical</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">449</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-10" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Comics</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">141</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-11" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Cute</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">162</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-12" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Dark</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">549</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-13" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Detailed</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">1756</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-14" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Documentary</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">115</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-15" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Drawing</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">63</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-16" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Dreamy</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">332</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-17" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Epic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">162</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-18" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Erotic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">54</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-19" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Ethnic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">243</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-20" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Expressive</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">279</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-21" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Fantasy</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">172</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-22" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Fine brushtrokes</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">146</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-23" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Fine lines</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">703</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-24" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Floral</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">514</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-25" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Funny</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">91</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-26" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Geometric</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">504</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-27" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Illustrative</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">464</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-28" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">LGBTQ+</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">38</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-29" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Landscapes</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">878</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-30" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Letters</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">61</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-31" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Light</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">37</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-32" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Madness</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">154</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-33" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Minimalist</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">108</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-34" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Moody</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">1331</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-35" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Motion</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">181</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-36" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Painterly</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">182</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-37" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Pastel</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">189</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-38" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Patterns</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">410</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-39" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Portraits</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">1467</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-40" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Psychedelic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">91</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-41" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Realistic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">309</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-42" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Religious</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">40</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-43" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Retro</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">147</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-44" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Scenes</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">805</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-45" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Sci-fi</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">165</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-46" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Still Life</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">103</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-47" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Subdued</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">1192</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-48" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Surreal</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">545</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-49" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Urban</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">653</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-50" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Vivid</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">2090</div></label></div></div></div><div class="dv-w"></div></div><div class="fx gp1"><div class="fx"><label data-wf-native-id-path="6a9d6c4a-6ea5-5703-4d10-1a367850f847" class="w-checkbox nv-l"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox fresh"></div><input name="Benchmarked" fs-cmsfilter-field="Benchmarks" data-name="Benchmarked" fs-cmsfilter-active="active" fs-cmsfilter-match="all" type="checkbox" id="benchmarked-check" style="opacity:0;position:absolute;z-index:-1" /><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58de_Benchmark.svg" alt="Midlibrary Benchmark" class="i-is" /><span class="c-ml b4 w-form-label" for="Benchmarked">Benchmarks</span></label><label data-wf-native-id-path="cedb13a8-f0df-ac4b-5a2e-89a2f22a3e17" class="w-checkbox nv-l"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox fiery"></div><input name="Powerstyles" fs-cmsfilter-field="Powerstyles" data-name="Powerstyles" fs-cmsfilter-active="active" fs-cmsfilter-match="all" type="checkbox" id="powerstyles-check" style="opacity:0;position:absolute;z-index:-1" /><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58df_Powerstyle.svg" alt="Midlibrary Powerstyle" class="i-is" /><span class="c-fr b4 w-form-label" for="Powerstyles">Powerstyles</span></label><label data-wf-native-id-path="9517360f-fcb6-806d-48d8-f4295ccd7994" class="w-checkbox nv-l"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox v5"></div><input name="Public-Domain" fs-cmsfilter-field="Public Domain" data-name="Public Domain" fs-cmsfilter-active="active" fs-cmsfilter-match="all" type="checkbox" id="public-domain-check" style="opacity:0;position:absolute;z-index:-1" /><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ac2_PublicDomain.svg" alt="Public Domain artist" class="i-is" /><span class="c-v5 b4 w-form-label" for="Public-Domain">Public domain</span></label></div><div class="dv"></div><input class="f-in w-input" fs-cmsfilter-field-bckp="name, desc, category, country, sections, features" autofocus="true" maxlength="256" name="field" fs-cmsfilter-field="name, desc, name, desc, category, country, sections, features" data-name="Field" placeholder="Search styles..." fs-cmsfilter-debounce="500" type="text" id="iq" /></div></div><div class="midjourney-styles"><div id="bkmk" fs-cmsload-element="scroll-anchor" class="bkm"></div><div class="fx fx-v w-dyn-list"><div fs-cmsload-resetix="true" fs-cmsload-mode="pagination" class="ml-ss w-dyn-items" fs-cmsload-showquery="true" fs-cmsfilter-element="list" fs-cmsfilter-active="filter-sel" role="list" fs-cmssort-element="list" fs-cmsload-pagesiblings="2" fs-cmsload-element="list" ml="styles" fs-cmsfilter-showquery="true"><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="the-elder-scrolls" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-0" href="/styles/the-elder-scrolls" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3439a513c24f52e071c8_The_Elder_Scrolls_V61_p.jpeg" loading="eager" alt="The Elder Scrolls Midjourney AI style | Titles | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Titles</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Fantasy</span>, <span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Detailed</span></div><div ml-style="sort" fs-cmsfilter-field="sort">The Elder Scrolls</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="The Elder Scrolls" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">The Elder Scrolls</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-0" href="/categories/titles">Titles</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-0:39a050b6-f669-51ee-82a2-e1c41688683f_instance-0" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-0:39a050b6-f669-51ee-82a2-e1c416886848_instance-0" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-0:621e4754-175d-80ad-5eac-c447fa814f52_instance-0" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-0:621e4754-175d-80ad-5eac-c447fa814f53_instance-0" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="the-witcher" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-1" href="/styles/the-witcher" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af34365dd3d02b1c133e40_The_Witcher_V61_p.jpeg" loading="eager" alt="The Witcher Midjourney AI style | Titles | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Titles</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Dark</span>, <span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">Realistic</span>, <span fs-cmsfilter-field="features">Moody</span></div><div ml-style="sort" fs-cmsfilter-field="sort">The Witcher</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="The Witcher" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">The Witcher</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-1" href="/categories/titles">Titles</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-1:39a050b6-f669-51ee-82a2-e1c41688683f_instance-1" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-1:39a050b6-f669-51ee-82a2-e1c416886848_instance-1" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-1:621e4754-175d-80ad-5eac-c447fa814f52_instance-1" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-1:621e4754-175d-80ad-5eac-c447fa814f53_instance-1" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="revok" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-2" href="/styles/revok" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66aefe9ef95a04734fe5f6c7_Revok_V61_p.jpeg" loading="eager" alt="Revok Midjourney AI style | Street Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc">American street artist and muralist</div><div ml-s="cat-c" fs-cmsfilter-field="category">Street Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Urban</span>, <span fs-cmsfilter-field="features">Abstract</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Bold lines</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Revok</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country">United States</div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Revok" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Revok</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-2" href="/categories/street-artists">Street Artists</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-2:39a050b6-f669-51ee-82a2-e1c41688683f_instance-2" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-2:39a050b6-f669-51ee-82a2-e1c416886848_instance-2" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-2:621e4754-175d-80ad-5eac-c447fa814f52_instance-2" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-2:621e4754-175d-80ad-5eac-c447fa814f53_instance-2" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="shigeo-fukuda" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-3" href="/styles/shigeo-fukuda" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af339e6868d9118ca917a8_Shigeo_Fukuda_V61_p.jpeg" loading="eager" alt="Shigeo Fukuda Midjourney AI style | Designers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Designers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">BW</span>, <span fs-cmsfilter-field="features">Bold lines</span>, <span fs-cmsfilter-field="features">Animals</span>, <span fs-cmsfilter-field="features">Surreal</span>, <span fs-cmsfilter-field="features">Bold</span>, <span fs-cmsfilter-field="features">Vivid</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Fukuda</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Shigeo Fukuda" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Shigeo Fukuda</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-3" href="/categories/designers">Designers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-3:39a050b6-f669-51ee-82a2-e1c41688683f_instance-3" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-3:39a050b6-f669-51ee-82a2-e1c416886848_instance-3" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-3:621e4754-175d-80ad-5eac-c447fa814f52_instance-3" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-3:621e4754-175d-80ad-5eac-c447fa814f53_instance-3" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="roberto-burle-marx" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-4" href="/styles/roberto-burle-marx" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af338cf265586192a13cc5_Roberto_Burle_Marx_V61_p.jpeg" loading="eager" alt="Roberto Burle Marx Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Realistic</span>, <span fs-cmsfilter-field="features">Illustrative</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Burle Marx</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Roberto Burle Marx" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Roberto Burle Marx</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-4" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-4:39a050b6-f669-51ee-82a2-e1c41688683f_instance-4" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-4:39a050b6-f669-51ee-82a2-e1c416886848_instance-4" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-4:621e4754-175d-80ad-5eac-c447fa814f52_instance-4" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-4:621e4754-175d-80ad-5eac-c447fa814f53_instance-4" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="sophie-taeuber-arp" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-5" href="/styles/sophie-taeuber-arp" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33a235800be772e5b222_Sophie_Taeuber-Arp_V61_p.jpeg" loading="eager" alt="Sophie Taeuber-Arp Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Abstract</span>, <span fs-cmsfilter-field="features">Illustrative</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Taeuber</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Sophie Taeuber-Arp" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Sophie Taeuber-Arp</div></div><div class="s-dtls"><div ml-s="pd" class="s-dtl"><div fs-cmsfilter-field="Public Domain" class="h w-embed">true</div><img alt="Public Domain artist" loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ac2_PublicDomain.svg" class="i-is" /></div><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-5" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-5:39a050b6-f669-51ee-82a2-e1c41688683f_instance-5" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-5:39a050b6-f669-51ee-82a2-e1c416886848_instance-5" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-5:621e4754-175d-80ad-5eac-c447fa814f52_instance-5" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-5:621e4754-175d-80ad-5eac-c447fa814f53_instance-5" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="yusaku-kamekura" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-6" href="/styles/yusaku-kamekura" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33b833caaf0fcd2549e7_Yusaku_Kamekura_V61_p.jpeg" loading="eager" alt="Yusaku Kamekura Midjourney AI style | Designers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Designers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Patterns</span>, <span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Portraits</span>, <span fs-cmsfilter-field="features">Psychedelic</span>, <span fs-cmsfilter-field="features">Surreal</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Kamekura</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Yusaku Kamekura" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Yusaku Kamekura</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-6" href="/categories/designers">Designers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-6:39a050b6-f669-51ee-82a2-e1c41688683f_instance-6" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-6:39a050b6-f669-51ee-82a2-e1c416886848_instance-6" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-6:621e4754-175d-80ad-5eac-c447fa814f52_instance-6" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-6:621e4754-175d-80ad-5eac-c447fa814f53_instance-6" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="sigmar-polke" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-7" href="/styles/sigmar-polke" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33a018726e1802769b5d_Sigmar_Polke_V61_p.jpeg" loading="eager" alt="Sigmar Polke Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Portraits</span>, <span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Fine lines</span>, <span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">Drawing</span>, <span fs-cmsfilter-field="features">Patterns</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Polke</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Sigmar Polke" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Sigmar Polke</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-7" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-7:39a050b6-f669-51ee-82a2-e1c41688683f_instance-7" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-7:39a050b6-f669-51ee-82a2-e1c416886848_instance-7" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-7:621e4754-175d-80ad-5eac-c447fa814f52_instance-7" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-7:621e4754-175d-80ad-5eac-c447fa814f53_instance-7" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="ryo-takemasa" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-8" href="/styles/ryo-takemasa" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3395d02008592f32c6f7_Ryo_Takemasa_V61_p.jpeg" loading="eager" alt="Ryo Takemasa Midjourney AI style | Illustrators | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Illustrators</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Detailed</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Pastel</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Animals</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Takemasa</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Ryo Takemasa" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Ryo Takemasa</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-8" href="/categories/illustrators">Illustrators</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-8:39a050b6-f669-51ee-82a2-e1c41688683f_instance-8" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-8:39a050b6-f669-51ee-82a2-e1c416886848_instance-8" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-8:621e4754-175d-80ad-5eac-c447fa814f52_instance-8" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-8:621e4754-175d-80ad-5eac-c447fa814f53_instance-8" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="stan-brakhage" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-9" href="/styles/stan-brakhage" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33a42b9618028730afac_Stan_Brakhage_V61_p.jpeg" loading="eager" alt="Stan Brakhage Midjourney AI style | Filmmakers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Filmmakers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Expressive</span>, <span fs-cmsfilter-field="features">Motion</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Abstract</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Brakhage</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Stan Brakhage" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Stan Brakhage</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-9" href="/categories/filmmakers">Filmmakers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-9:39a050b6-f669-51ee-82a2-e1c41688683f_instance-9" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-9:39a050b6-f669-51ee-82a2-e1c416886848_instance-9" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-9:621e4754-175d-80ad-5eac-c447fa814f52_instance-9" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-9:621e4754-175d-80ad-5eac-c447fa814f53_instance-9" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="pietro-bernini" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-10" href="/styles/pietro-bernini" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3384f54fef4c1c3102d2_Pietro_Bernini_V61_p.jpeg" loading="eager" alt="Pietro Bernini Midjourney AI style | Sculptors + Installation Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Sculptors + Installation Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Detailed</span>, <span fs-cmsfilter-field="features">Realistic</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Scenes</span>, <span fs-cmsfilter-field="features">Classical</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Bernini</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Pietro Bernini" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Pietro Bernini</div></div><div class="s-dtls"><div ml-s="pd" class="s-dtl"><div fs-cmsfilter-field="Public Domain" class="h w-embed">true</div><img alt="Public Domain artist" loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ac2_PublicDomain.svg" class="i-is" /></div><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-10" href="/categories/sculpture-installation">Sculptors</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-10:39a050b6-f669-51ee-82a2-e1c41688683f_instance-10" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-10:39a050b6-f669-51ee-82a2-e1c416886848_instance-10" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-10:621e4754-175d-80ad-5eac-c447fa814f52_instance-10" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-10:621e4754-175d-80ad-5eac-c447fa814f53_instance-10" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="roberto-cavalli" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-11" href="/styles/roberto-cavalli" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af338ee06e65d2de7e8885_Roberto_Cavalli_V61_p.jpeg" loading="eager" alt="Roberto Cavalli Midjourney AI style | Fashion Designers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Fashion Designers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Detailed</span>, <span fs-cmsfilter-field="features">Patterns</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Animals</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Cavalli</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Roberto Cavalli" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Roberto Cavalli</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-11" href="/categories/fashion-designers">Fashion Designers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-11:39a050b6-f669-51ee-82a2-e1c41688683f_instance-11" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-11:39a050b6-f669-51ee-82a2-e1c416886848_instance-11" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-11:621e4754-175d-80ad-5eac-c447fa814f52_instance-11" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-11:621e4754-175d-80ad-5eac-c447fa814f53_instance-11" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="tillie-walden" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-12" href="/styles/tillie-walden" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33a618726e180276a1c5_Tillie_Walden_V61_p.jpeg" loading="eager" alt="Tillie Walden Midjourney AI style | Illustrators | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Illustrators</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Fine lines</span>, <span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Pastel</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Scenes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Walden</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Tillie Walden" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Tillie Walden</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-12" href="/categories/illustrators">Illustrators</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-12:39a050b6-f669-51ee-82a2-e1c41688683f_instance-12" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-12:39a050b6-f669-51ee-82a2-e1c416886848_instance-12" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-12:621e4754-175d-80ad-5eac-c447fa814f52_instance-12" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-12:621e4754-175d-80ad-5eac-c447fa814f53_instance-12" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="toshio-shibata" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-13" href="/styles/toshio-shibata" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33afe3cb3e3e406a8985_Toshio_Shibata_V61_p.jpeg" loading="eager" alt="Toshio Shibata Midjourney AI style | Photographers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Photographers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Urban</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Subdued</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Shibata</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Toshio Shibata" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Toshio Shibata</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-13" href="/categories/photographers">Photographers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-13:39a050b6-f669-51ee-82a2-e1c41688683f_instance-13" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-13:39a050b6-f669-51ee-82a2-e1c416886848_instance-13" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-13:621e4754-175d-80ad-5eac-c447fa814f52_instance-13" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-13:621e4754-175d-80ad-5eac-c447fa814f53_instance-13" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="rogier-van-der-weyden" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-14" href="/styles/rogier-van-der-weyden" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3426bd2a699313a22ef4_Rogier_van_der_Weyden_V61_p.jpeg" loading="eager" alt="Rogier van der Weyden Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Portraits</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Religious</span>, <span fs-cmsfilter-field="features">Classical</span></div><div ml-style="sort" fs-cmsfilter-field="sort">van der Weyden</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Rogier van der Weyden" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Rogier van der Weyden</div></div><div class="s-dtls"><div ml-s="pd" class="s-dtl"><div fs-cmsfilter-field="Public Domain" class="h w-embed">true</div><img alt="Public Domain artist" loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ac2_PublicDomain.svg" class="i-is" /></div><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-14" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-14:39a050b6-f669-51ee-82a2-e1c41688683f_instance-14" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-14:39a050b6-f669-51ee-82a2-e1c416886848_instance-14" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-14:621e4754-175d-80ad-5eac-c447fa814f52_instance-14" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-14:621e4754-175d-80ad-5eac-c447fa814f53_instance-14" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="tithi-luadthong" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-15" href="/styles/tithi-luadthong" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3531a513c24f52e1b4ad_Tithi_Luadthong_V61_p.jpeg" loading="eager" alt="Tithi Luadthong Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Floral</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Dreamy</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Luadthong</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Tithi Luadthong" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Tithi Luadthong</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-15" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-15:39a050b6-f669-51ee-82a2-e1c41688683f_instance-15" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-15:39a050b6-f669-51ee-82a2-e1c416886848_instance-15" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-15:621e4754-175d-80ad-5eac-c447fa814f52_instance-15" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-15:621e4754-175d-80ad-5eac-c447fa814f53_instance-15" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="rick-and-morty" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-16" href="/styles/rick-and-morty" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af34e9ef34417bd6da58f6_Rick_and_Morty_V61_p.jpeg" loading="eager" alt="Rick and Morty Midjourney AI style | Titles | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Titles</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Scenes</span>, <span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">Sci-fi</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Rick and Morty</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Rick and Morty" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Rick and Morty</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-16" href="/categories/titles">Titles</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-16:39a050b6-f669-51ee-82a2-e1c41688683f_instance-16" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-16:39a050b6-f669-51ee-82a2-e1c416886848_instance-16" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-16:621e4754-175d-80ad-5eac-c447fa814f52_instance-16" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-16:621e4754-175d-80ad-5eac-c447fa814f53_instance-16" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="tomie-depaola" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-17" href="/styles/tomie-depaola" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3512a9e4b924164f4d02_Tomie_dePaola_V61_p.jpeg" loading="eager" alt="Tomie dePaola Midjourney AI style | Illustrators | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Illustrators</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Cute</span>, <span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Pastel</span>, <span fs-cmsfilter-field="features">Detailed</span>, <span fs-cmsfilter-field="features">Scenes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">dePaola</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Tomie dePaola" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Tomie dePaola</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-17" href="/categories/illustrators">Illustrators</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-17:39a050b6-f669-51ee-82a2-e1c41688683f_instance-17" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-17:39a050b6-f669-51ee-82a2-e1c416886848_instance-17" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-17:621e4754-175d-80ad-5eac-c447fa814f52_instance-17" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-17:621e4754-175d-80ad-5eac-c447fa814f53_instance-17" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="sparth" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-18" href="/styles/sparth" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3533e6c608f2fe5ad1c5_Sparth_V61_p.jpeg" loading="eager" alt="Sparth Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Sci-fi</span>, <span fs-cmsfilter-field="features">Broad brushstrokes</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Painterly</span>, <span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Subdued</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Sparth</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Sparth" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Sparth</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-18" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-18:39a050b6-f669-51ee-82a2-e1c41688683f_instance-18" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-18:39a050b6-f669-51ee-82a2-e1c416886848_instance-18" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-18:621e4754-175d-80ad-5eac-c447fa814f52_instance-18" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-18:621e4754-175d-80ad-5eac-c447fa814f53_instance-18" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="matt-rhodes" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-19" href="/styles/matt-rhodes" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66b11aac15ed1f0c27d19f2d_Matt_Rhodes_V61_p.jpeg" loading="eager" alt="Matt Rhodes Midjourney AI style | Illustrators | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Illustrators</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Fantasy</span>, <span fs-cmsfilter-field="features">Fine lines</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Moody</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Rhodes</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Matt Rhodes" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Matt Rhodes</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-19" href="/categories/illustrators">Illustrators</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-19:39a050b6-f669-51ee-82a2-e1c41688683f_instance-19" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-19:39a050b6-f669-51ee-82a2-e1c416886848_instance-19" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-19:621e4754-175d-80ad-5eac-c447fa814f52_instance-19" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-19:621e4754-175d-80ad-5eac-c447fa814f53_instance-19" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="mr-brainwash" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-20" href="/styles/mr-brainwash" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66ae98183c2b43d0c6bccc0f_Mr_Brainwash_V61_p.jpeg" loading="eager" alt="Mr. Brainwash Midjourney AI style | Street Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Street Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Expressive</span>, <span fs-cmsfilter-field="features">Bold lines</span>, <span fs-cmsfilter-field="features">Broad brushstrokes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Mr. Brainwash</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Mr. Brainwash" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Mr. Brainwash</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-20" href="/categories/street-artists">Street Artists</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-20:39a050b6-f669-51ee-82a2-e1c41688683f_instance-20" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-20:39a050b6-f669-51ee-82a2-e1c416886848_instance-20" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-20:621e4754-175d-80ad-5eac-c447fa814f52_instance-20" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-20:621e4754-175d-80ad-5eac-c447fa814f53_instance-20" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="paul-gustav-fischer" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-21" href="/styles/paul-gustav-fischer" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66ae246f31e53c07cb399346_Paul_Gustav_Fischer_V61_p.jpeg" loading="eager" alt="Paul Gustav Fischer Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Urban</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Scenes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Fischer</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Paul Gustav Fischer" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Paul Gustav Fischer</div></div><div class="s-dtls"><div ml-s="pd" class="s-dtl"><div fs-cmsfilter-field="Public Domain" class="h w-embed">true</div><img alt="Public Domain artist" loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ac2_PublicDomain.svg" class="i-is" /></div><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-21" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-21:39a050b6-f669-51ee-82a2-e1c41688683f_instance-21" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-21:39a050b6-f669-51ee-82a2-e1c416886848_instance-21" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-21:621e4754-175d-80ad-5eac-c447fa814f52_instance-21" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-21:621e4754-175d-80ad-5eac-c447fa814f53_instance-21" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="marion-peck" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-22" href="/styles/marion-peck" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3315ea6e3127df566b9b_Marion_Peck_V61_p.jpeg" loading="eager" alt="Marion Peck Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">Portraits</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Animals</span>, <span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Detailed</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Peck</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Marion Peck" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Marion Peck</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-22" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-22:39a050b6-f669-51ee-82a2-e1c41688683f_instance-22" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-22:39a050b6-f669-51ee-82a2-e1c416886848_instance-22" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-22:621e4754-175d-80ad-5eac-c447fa814f52_instance-22" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-22:621e4754-175d-80ad-5eac-c447fa814f53_instance-22" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="mark-ruwedel" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-23" href="/styles/mark-ruwedel" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3455bd2a699313a267c2_Mark_Ruwedel_V61_p.jpeg" loading="eager" alt="Mark Ruwedel Midjourney AI style | Photographers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Photographers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">BW</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Urban</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Ruwedel</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Mark Ruwedel" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Mark Ruwedel</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-23" href="/categories/photographers">Photographers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-23:39a050b6-f669-51ee-82a2-e1c41688683f_instance-23" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-23:39a050b6-f669-51ee-82a2-e1c416886848_instance-23" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-23:621e4754-175d-80ad-5eac-c447fa814f52_instance-23" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-23:621e4754-175d-80ad-5eac-c447fa814f53_instance-23" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="max-gimblett" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-24" href="/styles/max-gimblett" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33223396064f8166b9c5_Max_Gimblett_V61_p.jpeg" loading="eager" alt="Max Gimblett Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Expressive</span>, <span fs-cmsfilter-field="features">Broad brushstrokes</span>, <span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Painterly</span>, <span fs-cmsfilter-field="features">Moody</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Gimblett</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Max Gimblett" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Max Gimblett</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-24" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-24:39a050b6-f669-51ee-82a2-e1c41688683f_instance-24" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-24:39a050b6-f669-51ee-82a2-e1c416886848_instance-24" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-24:621e4754-175d-80ad-5eac-c447fa814f52_instance-24" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-24:621e4754-175d-80ad-5eac-c447fa814f53_instance-24" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="mary-sibande" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-25" href="/styles/mary-sibande" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30ba3c0e2a998df00bd9_Mary_Sibande_V61_p.jpeg" loading="eager" alt="Mary Sibande Midjourney AI style | Sculptors + Installation Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Sculptors + Installation Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Surreal</span>, <span fs-cmsfilter-field="features">Realistic</span>, <span fs-cmsfilter-field="features">Expressive</span>, <span fs-cmsfilter-field="features">Animals</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Sibande</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Mary Sibande" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Mary Sibande</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-25" href="/categories/sculpture-installation">Sculptors</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-25:39a050b6-f669-51ee-82a2-e1c41688683f_instance-25" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-25:39a050b6-f669-51ee-82a2-e1c416886848_instance-25" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-25:621e4754-175d-80ad-5eac-c447fa814f52_instance-25" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-25:621e4754-175d-80ad-5eac-c447fa814f53_instance-25" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="peter-halley" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-26" href="/styles/peter-halley" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af310a132513e7a582630f_Peter_Halley_V61_p.jpeg" loading="eager" alt="Peter Halley Midjourney AI style | Sculptors + Installation Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Sculptors + Installation Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Urban</span>, <span fs-cmsfilter-field="features">Illustrative</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Halley</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Peter Halley" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Peter Halley</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-26" href="/categories/sculpture-installation">Sculptors</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-26:39a050b6-f669-51ee-82a2-e1c41688683f_instance-26" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-26:39a050b6-f669-51ee-82a2-e1c416886848_instance-26" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-26:621e4754-175d-80ad-5eac-c447fa814f52_instance-26" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-26:621e4754-175d-80ad-5eac-c447fa814f53_instance-26" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="nendoroid" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-27" href="/styles/nendoroid" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30d6c01c8b3350c093f2_Nendoroid_V61_p.jpeg" loading="eager" alt="Nendoroid Midjourney AI style | Titles | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Titles</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Cute</span>, <span fs-cmsfilter-field="features">Vivid</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Nendoroid</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Nendoroid" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Nendoroid</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-27" href="/categories/titles">Titles</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-27:39a050b6-f669-51ee-82a2-e1c41688683f_instance-27" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-27:39a050b6-f669-51ee-82a2-e1c416886848_instance-27" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-27:621e4754-175d-80ad-5eac-c447fa814f52_instance-27" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-27:621e4754-175d-80ad-5eac-c447fa814f53_instance-27" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="norman-lewis" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-28" href="/styles/norman-lewis" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30e7f6ce50c2c7396d6b_Norman_Lewis_V61_p.jpeg" loading="eager" alt="Norman Lewis Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Broad brushstrokes</span>, <span fs-cmsfilter-field="features">Abstract</span>, <span fs-cmsfilter-field="features">Expressive</span>, <span fs-cmsfilter-field="features">Scenes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Lewis</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Norman Lewis" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Norman Lewis</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-28" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-28:39a050b6-f669-51ee-82a2-e1c41688683f_instance-28" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-28:39a050b6-f669-51ee-82a2-e1c416886848_instance-28" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-28:621e4754-175d-80ad-5eac-c447fa814f52_instance-28" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-28:621e4754-175d-80ad-5eac-c447fa814f53_instance-28" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="mira-schendel" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-29" href="/styles/mira-schendel" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30c5e22946064d3acf51_Mira_Schendel_V61_p.jpeg" loading="eager" alt="Mira Schendel Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Abstract</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Fine lines</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Schendel</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Mira Schendel" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Mira Schendel</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-29" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-29:39a050b6-f669-51ee-82a2-e1c41688683f_instance-29" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-29:39a050b6-f669-51ee-82a2-e1c416886848_instance-29" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-29:621e4754-175d-80ad-5eac-c447fa814f52_instance-29" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-29:621e4754-175d-80ad-5eac-c447fa814f53_instance-29" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="neil-blevins" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-30" href="/styles/neil-blevins" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30d37bddaf40ef76a4bb_Neil_Blevins_V61_p.jpeg" loading="eager" alt="Neil Blevins Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Sci-fi</span>, <span fs-cmsfilter-field="features">Surreal</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Blevins</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Neil Blevins" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Neil Blevins</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-30" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-30:39a050b6-f669-51ee-82a2-e1c41688683f_instance-30" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-30:39a050b6-f669-51ee-82a2-e1c416886848_instance-30" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-30:621e4754-175d-80ad-5eac-c447fa814f52_instance-30" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-30:621e4754-175d-80ad-5eac-c447fa814f53_instance-30" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="paul-souders" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-31:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-31" href="/styles/paul-souders" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30feba8eaad7465e76b5_Paul_Souders_V61_p.jpeg" loading="eager" alt="Paul Souders Midjourney AI style | Photographers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Photographers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Detailed</span>, <span fs-cmsfilter-field="features">Animals</span>, <span fs-cmsfilter-field="features">Landscapes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Souders</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Paul Souders" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Paul Souders</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-31:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-31" href="/categories/photographers">Photographers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-31:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-31:39a050b6-f669-51ee-82a2-e1c41688683f_instance-31" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-31:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-31:39a050b6-f669-51ee-82a2-e1c416886848_instance-31" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-31:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-31:621e4754-175d-80ad-5eac-c447fa814f52_instance-31" href="#" class="pc-fav 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style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Architects</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">107</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-1" style="color:#fe7200;border-color:#fe7200" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#fe7200" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#fe7200" class="ml-button-label w-form-label" for="cts">Artistic Techniques</span><div fs-cmsfilter-element="filter-results-count" style="color:#fe7200" class="ml-filter-counter">391</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-2" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Designers</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">165</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-3" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Fashion Designers</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">135</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-4" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Filmmakers</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">118</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-5" style="color:#e7494c;border-color:#e7494c" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#e7494c" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#e7494c" class="ml-button-label w-form-label" for="cts">General Modifiers</span><div fs-cmsfilter-element="filter-results-count" style="color:#e7494c" class="ml-filter-counter">175</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-6" style="color:#f8336f;border-color:#f8336f" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#f8336f" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#f8336f" class="ml-button-label w-form-label" for="cts">Genres + Art Movements</span><div fs-cmsfilter-element="filter-results-count" style="color:#f8336f" class="ml-filter-counter">311</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-7" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Illustrators</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">920</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-8" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Painters</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">1544</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-9" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Photographers</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">685</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-10" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Printmakers</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">43</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-11" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Sculptors + Installation Artists</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">236</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-12" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Street Artists</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">60</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-13" style="color:#ffcc00;border-color:#ffcc00" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#ffcc00" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#ffcc00" class="ml-button-label w-form-label" for="cts">Titles</span><div fs-cmsfilter-element="filter-results-count" style="color:#ffcc00" class="ml-filter-counter">300</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="28a7459d-329a-95b2-90b3-822ff1a52768_instance-14" style="color:#00e6c8;border-color:#00e6c8" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="cts" data-name="cts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#00e6c8" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="category" style="color:#00e6c8" class="ml-button-label w-form-label" for="cts">Various Artists</span><div fs-cmsfilter-element="filter-results-count" style="color:#00e6c8" class="ml-filter-counter">310</div></label></div></div></div><div class="dv-w"></div><div class="w-dyn-list"><div role="list" class="g-fts gpb w-dyn-items"><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-0" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Abstract</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">422</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-1" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Animals</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">427</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-2" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">BW</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">580</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-3" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Baroque</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">34</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-4" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Bold</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">77</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-5" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Bold lines</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">63</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-6" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Broad brushstrokes</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">489</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-7" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Characters</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">757</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-8" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Cinematic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">67</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-9" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Classical</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">449</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-10" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Comics</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">141</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-11" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Cute</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">162</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-12" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Dark</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">549</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-13" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Detailed</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">1756</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-14" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Documentary</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">115</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-15" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Drawing</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">63</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-16" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Dreamy</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">332</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-17" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Epic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">162</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-18" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Erotic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">54</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-19" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Ethnic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">243</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-20" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Expressive</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">279</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-21" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Fantasy</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">172</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-22" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Fine brushtrokes</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">146</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-23" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Fine lines</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">703</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-24" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Floral</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">514</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-25" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Funny</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">91</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-26" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Geometric</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">504</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-27" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Illustrative</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">464</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-28" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">LGBTQ+</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">38</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-29" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Landscapes</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">878</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-30" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Letters</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">61</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-31" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Light</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">37</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-32" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Madness</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">154</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-33" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Minimalist</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">108</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-34" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Moody</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">1331</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-35" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Motion</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">181</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-36" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Painterly</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">182</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-37" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Pastel</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">189</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-38" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Patterns</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">410</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-39" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Portraits</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">1467</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-40" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Psychedelic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">91</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-41" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Realistic</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">309</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-42" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Religious</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">40</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-43" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Retro</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">147</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-44" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Scenes</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">805</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-45" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Sci-fi</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">165</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-46" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Still Life</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">103</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-47" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Subdued</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">1192</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-48" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Surreal</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">545</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-49" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Urban</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">653</div></label></div><div role="listitem" class="w-dyn-item"><label data-wf-native-id-path="d57ff580-a88d-60ab-9d36-b04d01de6fec_instance-50" style="border-color:#a175ff;color:#a175ff" class="w-checkbox fltl"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox"></div><input type="checkbox" name="fts" data-name="fts" style="opacity:0;position:absolute;z-index:-1" /><div style="border-color:#a175ff" class="ml-filter-checkbox-colorizer"></div><span fs-cmsfilter-match="all" fs-cmsfilter-field="features" class="ml-button-label w-form-label" for="fts">Vivid</span><div fs-cmsfilter-element="filter-results-count" class="ml-filter-counter">2090</div></label></div></div></div><div class="dv-w"></div></div><div class="fx gp1"><div class="fx"><label data-wf-native-id-path="6a9d6c4a-6ea5-5703-4d10-1a367850f847" class="w-checkbox nv-l"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox fresh"></div><input name="Benchmarked" fs-cmsfilter-field="Benchmarks" data-name="Benchmarked" fs-cmsfilter-active="active" fs-cmsfilter-match="all" type="checkbox" id="benchmarked-check" style="opacity:0;position:absolute;z-index:-1" /><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58de_Benchmark.svg" alt="Midlibrary Benchmark" class="i-is" /><span class="c-ml b4 w-form-label" for="Benchmarked">Benchmarks</span></label><label data-wf-native-id-path="cedb13a8-f0df-ac4b-5a2e-89a2f22a3e17" class="w-checkbox nv-l"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox fiery"></div><input name="Powerstyles" fs-cmsfilter-field="Powerstyles" data-name="Powerstyles" fs-cmsfilter-active="active" fs-cmsfilter-match="all" type="checkbox" id="powerstyles-check" style="opacity:0;position:absolute;z-index:-1" /><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58df_Powerstyle.svg" alt="Midlibrary Powerstyle" class="i-is" /><span class="c-fr b4 w-form-label" for="Powerstyles">Powerstyles</span></label><label data-wf-native-id-path="9517360f-fcb6-806d-48d8-f4295ccd7994" class="w-checkbox nv-l"><div class="filter-block"></div><div class="w-checkbox-input w-checkbox-input--inputType-custom ml-filter-checkbox v5"></div><input name="Public-Domain" fs-cmsfilter-field="Public Domain" data-name="Public Domain" fs-cmsfilter-active="active" fs-cmsfilter-match="all" type="checkbox" id="public-domain-check" style="opacity:0;position:absolute;z-index:-1" /><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ac2_PublicDomain.svg" alt="Public Domain artist" class="i-is" /><span class="c-v5 b4 w-form-label" for="Public-Domain">Public domain</span></label></div><div class="dv"></div><input class="f-in w-input" fs-cmsfilter-field-bckp="name, desc, category, country, sections, features" autofocus="true" maxlength="256" name="field" fs-cmsfilter-field="name, desc, name, desc, category, country, sections, features" data-name="Field" placeholder="Search styles..." fs-cmsfilter-debounce="500" type="text" id="iq" /></div></div><div class="midjourney-styles"><div id="bkmk" fs-cmsload-element="scroll-anchor" class="bkm"></div><div class="fx fx-v w-dyn-list"><div fs-cmsload-resetix="true" fs-cmsload-mode="pagination" class="ml-ss w-dyn-items" fs-cmsload-showquery="true" fs-cmsfilter-element="list" fs-cmsfilter-active="filter-sel" role="list" fs-cmssort-element="list" fs-cmsload-pagesiblings="2" fs-cmsload-element="list" ml="styles" fs-cmsfilter-showquery="true"><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="the-elder-scrolls" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-0" href="/styles/the-elder-scrolls" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3439a513c24f52e071c8_The_Elder_Scrolls_V61_p.jpeg" loading="eager" alt="The Elder Scrolls Midjourney AI style | Titles | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Titles</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Fantasy</span>, <span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Detailed</span></div><div ml-style="sort" fs-cmsfilter-field="sort">The Elder Scrolls</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="The Elder Scrolls" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">The Elder Scrolls</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-0" href="/categories/titles">Titles</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-0:39a050b6-f669-51ee-82a2-e1c41688683f_instance-0" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-0:39a050b6-f669-51ee-82a2-e1c416886848_instance-0" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-0:621e4754-175d-80ad-5eac-c447fa814f52_instance-0" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-0:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-0:621e4754-175d-80ad-5eac-c447fa814f53_instance-0" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="the-witcher" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-1" href="/styles/the-witcher" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af34365dd3d02b1c133e40_The_Witcher_V61_p.jpeg" loading="eager" alt="The Witcher Midjourney AI style | Titles | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Titles</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Dark</span>, <span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">Realistic</span>, <span fs-cmsfilter-field="features">Moody</span></div><div ml-style="sort" fs-cmsfilter-field="sort">The Witcher</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="The Witcher" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">The Witcher</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-1" href="/categories/titles">Titles</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-1:39a050b6-f669-51ee-82a2-e1c41688683f_instance-1" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-1:39a050b6-f669-51ee-82a2-e1c416886848_instance-1" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-1:621e4754-175d-80ad-5eac-c447fa814f52_instance-1" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-1:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-1:621e4754-175d-80ad-5eac-c447fa814f53_instance-1" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="revok" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-2" href="/styles/revok" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66aefe9ef95a04734fe5f6c7_Revok_V61_p.jpeg" loading="eager" alt="Revok Midjourney AI style | Street Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc">American street artist and muralist</div><div ml-s="cat-c" fs-cmsfilter-field="category">Street Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Urban</span>, <span fs-cmsfilter-field="features">Abstract</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Bold lines</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Revok</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country">United States</div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Revok" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Revok</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-2" href="/categories/street-artists">Street Artists</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-2:39a050b6-f669-51ee-82a2-e1c41688683f_instance-2" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-2:39a050b6-f669-51ee-82a2-e1c416886848_instance-2" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-2:621e4754-175d-80ad-5eac-c447fa814f52_instance-2" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-2:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-2:621e4754-175d-80ad-5eac-c447fa814f53_instance-2" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="shigeo-fukuda" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-3" href="/styles/shigeo-fukuda" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af339e6868d9118ca917a8_Shigeo_Fukuda_V61_p.jpeg" loading="eager" alt="Shigeo Fukuda Midjourney AI style | Designers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Designers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">BW</span>, <span fs-cmsfilter-field="features">Bold lines</span>, <span fs-cmsfilter-field="features">Animals</span>, <span fs-cmsfilter-field="features">Surreal</span>, <span fs-cmsfilter-field="features">Bold</span>, <span fs-cmsfilter-field="features">Vivid</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Fukuda</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Shigeo Fukuda" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Shigeo Fukuda</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-3" href="/categories/designers">Designers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-3:39a050b6-f669-51ee-82a2-e1c41688683f_instance-3" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-3:39a050b6-f669-51ee-82a2-e1c416886848_instance-3" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-3:621e4754-175d-80ad-5eac-c447fa814f52_instance-3" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-3:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-3:621e4754-175d-80ad-5eac-c447fa814f53_instance-3" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="roberto-burle-marx" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-4" href="/styles/roberto-burle-marx" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af338cf265586192a13cc5_Roberto_Burle_Marx_V61_p.jpeg" loading="eager" alt="Roberto Burle Marx Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Realistic</span>, <span fs-cmsfilter-field="features">Illustrative</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Burle Marx</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Roberto Burle Marx" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Roberto Burle Marx</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-4" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-4:39a050b6-f669-51ee-82a2-e1c41688683f_instance-4" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-4:39a050b6-f669-51ee-82a2-e1c416886848_instance-4" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-4:621e4754-175d-80ad-5eac-c447fa814f52_instance-4" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-4:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-4:621e4754-175d-80ad-5eac-c447fa814f53_instance-4" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="sophie-taeuber-arp" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-5" href="/styles/sophie-taeuber-arp" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33a235800be772e5b222_Sophie_Taeuber-Arp_V61_p.jpeg" loading="eager" alt="Sophie Taeuber-Arp Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Abstract</span>, <span fs-cmsfilter-field="features">Illustrative</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Taeuber</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Sophie Taeuber-Arp" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Sophie Taeuber-Arp</div></div><div class="s-dtls"><div ml-s="pd" class="s-dtl"><div fs-cmsfilter-field="Public Domain" class="h w-embed">true</div><img alt="Public Domain artist" loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ac2_PublicDomain.svg" class="i-is" /></div><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-5" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-5:39a050b6-f669-51ee-82a2-e1c41688683f_instance-5" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-5:39a050b6-f669-51ee-82a2-e1c416886848_instance-5" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-5:621e4754-175d-80ad-5eac-c447fa814f52_instance-5" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-5:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-5:621e4754-175d-80ad-5eac-c447fa814f53_instance-5" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="yusaku-kamekura" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-6" href="/styles/yusaku-kamekura" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33b833caaf0fcd2549e7_Yusaku_Kamekura_V61_p.jpeg" loading="eager" alt="Yusaku Kamekura Midjourney AI style | Designers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Designers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Patterns</span>, <span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Portraits</span>, <span fs-cmsfilter-field="features">Psychedelic</span>, <span fs-cmsfilter-field="features">Surreal</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Kamekura</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Yusaku Kamekura" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Yusaku Kamekura</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-6" href="/categories/designers">Designers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-6:39a050b6-f669-51ee-82a2-e1c41688683f_instance-6" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-6:39a050b6-f669-51ee-82a2-e1c416886848_instance-6" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-6:621e4754-175d-80ad-5eac-c447fa814f52_instance-6" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-6:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-6:621e4754-175d-80ad-5eac-c447fa814f53_instance-6" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="sigmar-polke" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-7" href="/styles/sigmar-polke" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33a018726e1802769b5d_Sigmar_Polke_V61_p.jpeg" loading="eager" alt="Sigmar Polke Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Portraits</span>, <span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Fine lines</span>, <span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">Drawing</span>, <span fs-cmsfilter-field="features">Patterns</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Polke</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Sigmar Polke" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Sigmar Polke</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-7" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-7:39a050b6-f669-51ee-82a2-e1c41688683f_instance-7" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-7:39a050b6-f669-51ee-82a2-e1c416886848_instance-7" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-7:621e4754-175d-80ad-5eac-c447fa814f52_instance-7" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-7:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-7:621e4754-175d-80ad-5eac-c447fa814f53_instance-7" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="ryo-takemasa" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-8" href="/styles/ryo-takemasa" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3395d02008592f32c6f7_Ryo_Takemasa_V61_p.jpeg" loading="eager" alt="Ryo Takemasa Midjourney AI style | Illustrators | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Illustrators</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Detailed</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Pastel</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Animals</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Takemasa</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Ryo Takemasa" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Ryo Takemasa</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-8" href="/categories/illustrators">Illustrators</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-8:39a050b6-f669-51ee-82a2-e1c41688683f_instance-8" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-8:39a050b6-f669-51ee-82a2-e1c416886848_instance-8" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-8:621e4754-175d-80ad-5eac-c447fa814f52_instance-8" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-8:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-8:621e4754-175d-80ad-5eac-c447fa814f53_instance-8" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="stan-brakhage" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-9" href="/styles/stan-brakhage" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33a42b9618028730afac_Stan_Brakhage_V61_p.jpeg" loading="eager" alt="Stan Brakhage Midjourney AI style | Filmmakers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Filmmakers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Expressive</span>, <span fs-cmsfilter-field="features">Motion</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Abstract</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Brakhage</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Stan Brakhage" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Stan Brakhage</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-9" href="/categories/filmmakers">Filmmakers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-9:39a050b6-f669-51ee-82a2-e1c41688683f_instance-9" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-9:39a050b6-f669-51ee-82a2-e1c416886848_instance-9" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-9:621e4754-175d-80ad-5eac-c447fa814f52_instance-9" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-9:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-9:621e4754-175d-80ad-5eac-c447fa814f53_instance-9" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="pietro-bernini" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-10" href="/styles/pietro-bernini" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3384f54fef4c1c3102d2_Pietro_Bernini_V61_p.jpeg" loading="eager" alt="Pietro Bernini Midjourney AI style | Sculptors + Installation Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Sculptors + Installation Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Detailed</span>, <span fs-cmsfilter-field="features">Realistic</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Scenes</span>, <span fs-cmsfilter-field="features">Classical</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Bernini</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Pietro Bernini" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Pietro Bernini</div></div><div class="s-dtls"><div ml-s="pd" class="s-dtl"><div fs-cmsfilter-field="Public Domain" class="h w-embed">true</div><img alt="Public Domain artist" loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ac2_PublicDomain.svg" class="i-is" /></div><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-10" href="/categories/sculpture-installation">Sculptors</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-10:39a050b6-f669-51ee-82a2-e1c41688683f_instance-10" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-10:39a050b6-f669-51ee-82a2-e1c416886848_instance-10" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-10:621e4754-175d-80ad-5eac-c447fa814f52_instance-10" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-10:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-10:621e4754-175d-80ad-5eac-c447fa814f53_instance-10" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="roberto-cavalli" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-11" href="/styles/roberto-cavalli" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af338ee06e65d2de7e8885_Roberto_Cavalli_V61_p.jpeg" loading="eager" alt="Roberto Cavalli Midjourney AI style | Fashion Designers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Fashion Designers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Detailed</span>, <span fs-cmsfilter-field="features">Patterns</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Animals</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Cavalli</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Roberto Cavalli" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Roberto Cavalli</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-11" href="/categories/fashion-designers">Fashion Designers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-11:39a050b6-f669-51ee-82a2-e1c41688683f_instance-11" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-11:39a050b6-f669-51ee-82a2-e1c416886848_instance-11" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-11:621e4754-175d-80ad-5eac-c447fa814f52_instance-11" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-11:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-11:621e4754-175d-80ad-5eac-c447fa814f53_instance-11" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="tillie-walden" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-12" href="/styles/tillie-walden" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33a618726e180276a1c5_Tillie_Walden_V61_p.jpeg" loading="eager" alt="Tillie Walden Midjourney AI style | Illustrators | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Illustrators</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Fine lines</span>, <span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Pastel</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Scenes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Walden</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Tillie Walden" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Tillie Walden</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-12" href="/categories/illustrators">Illustrators</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-12:39a050b6-f669-51ee-82a2-e1c41688683f_instance-12" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-12:39a050b6-f669-51ee-82a2-e1c416886848_instance-12" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-12:621e4754-175d-80ad-5eac-c447fa814f52_instance-12" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-12:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-12:621e4754-175d-80ad-5eac-c447fa814f53_instance-12" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="toshio-shibata" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-13" href="/styles/toshio-shibata" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33afe3cb3e3e406a8985_Toshio_Shibata_V61_p.jpeg" loading="eager" alt="Toshio Shibata Midjourney AI style | Photographers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Photographers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Urban</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Subdued</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Shibata</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Toshio Shibata" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Toshio Shibata</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-13" href="/categories/photographers">Photographers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-13:39a050b6-f669-51ee-82a2-e1c41688683f_instance-13" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-13:39a050b6-f669-51ee-82a2-e1c416886848_instance-13" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-13:621e4754-175d-80ad-5eac-c447fa814f52_instance-13" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-13:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-13:621e4754-175d-80ad-5eac-c447fa814f53_instance-13" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="rogier-van-der-weyden" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-14" href="/styles/rogier-van-der-weyden" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3426bd2a699313a22ef4_Rogier_van_der_Weyden_V61_p.jpeg" loading="eager" alt="Rogier van der Weyden Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Portraits</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Religious</span>, <span fs-cmsfilter-field="features">Classical</span></div><div ml-style="sort" fs-cmsfilter-field="sort">van der Weyden</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Rogier van der Weyden" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Rogier van der Weyden</div></div><div class="s-dtls"><div ml-s="pd" class="s-dtl"><div fs-cmsfilter-field="Public Domain" class="h w-embed">true</div><img alt="Public Domain artist" loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ac2_PublicDomain.svg" class="i-is" /></div><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-14" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-14:39a050b6-f669-51ee-82a2-e1c41688683f_instance-14" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-14:39a050b6-f669-51ee-82a2-e1c416886848_instance-14" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-14:621e4754-175d-80ad-5eac-c447fa814f52_instance-14" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-14:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-14:621e4754-175d-80ad-5eac-c447fa814f53_instance-14" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="tithi-luadthong" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-15" href="/styles/tithi-luadthong" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3531a513c24f52e1b4ad_Tithi_Luadthong_V61_p.jpeg" loading="eager" alt="Tithi Luadthong Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Floral</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Dreamy</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Luadthong</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Tithi Luadthong" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Tithi Luadthong</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-15" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-15:39a050b6-f669-51ee-82a2-e1c41688683f_instance-15" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-15:39a050b6-f669-51ee-82a2-e1c416886848_instance-15" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-15:621e4754-175d-80ad-5eac-c447fa814f52_instance-15" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-15:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-15:621e4754-175d-80ad-5eac-c447fa814f53_instance-15" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="rick-and-morty" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-16" href="/styles/rick-and-morty" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af34e9ef34417bd6da58f6_Rick_and_Morty_V61_p.jpeg" loading="eager" alt="Rick and Morty Midjourney AI style | Titles | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Titles</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Scenes</span>, <span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">Sci-fi</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Rick and Morty</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Rick and Morty" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Rick and Morty</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-16" href="/categories/titles">Titles</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-16:39a050b6-f669-51ee-82a2-e1c41688683f_instance-16" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-16:39a050b6-f669-51ee-82a2-e1c416886848_instance-16" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-16:621e4754-175d-80ad-5eac-c447fa814f52_instance-16" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-16:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-16:621e4754-175d-80ad-5eac-c447fa814f53_instance-16" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="tomie-depaola" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-17" href="/styles/tomie-depaola" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3512a9e4b924164f4d02_Tomie_dePaola_V61_p.jpeg" loading="eager" alt="Tomie dePaola Midjourney AI style | Illustrators | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Illustrators</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Cute</span>, <span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Pastel</span>, <span fs-cmsfilter-field="features">Detailed</span>, <span fs-cmsfilter-field="features">Scenes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">dePaola</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Tomie dePaola" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Tomie dePaola</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-17" href="/categories/illustrators">Illustrators</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-17:39a050b6-f669-51ee-82a2-e1c41688683f_instance-17" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-17:39a050b6-f669-51ee-82a2-e1c416886848_instance-17" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-17:621e4754-175d-80ad-5eac-c447fa814f52_instance-17" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-17:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-17:621e4754-175d-80ad-5eac-c447fa814f53_instance-17" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="sparth" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-18" href="/styles/sparth" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3533e6c608f2fe5ad1c5_Sparth_V61_p.jpeg" loading="eager" alt="Sparth Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Sci-fi</span>, <span fs-cmsfilter-field="features">Broad brushstrokes</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Painterly</span>, <span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Subdued</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Sparth</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 20, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Sparth" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Sparth</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-18" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-18:39a050b6-f669-51ee-82a2-e1c41688683f_instance-18" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-18:39a050b6-f669-51ee-82a2-e1c416886848_instance-18" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-18:621e4754-175d-80ad-5eac-c447fa814f52_instance-18" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-18:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-18:621e4754-175d-80ad-5eac-c447fa814f53_instance-18" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="matt-rhodes" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-19" href="/styles/matt-rhodes" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66b11aac15ed1f0c27d19f2d_Matt_Rhodes_V61_p.jpeg" loading="eager" alt="Matt Rhodes Midjourney AI style | Illustrators | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Illustrators</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Fantasy</span>, <span fs-cmsfilter-field="features">Fine lines</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Moody</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Rhodes</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Matt Rhodes" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Matt Rhodes</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-19" href="/categories/illustrators">Illustrators</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-19:39a050b6-f669-51ee-82a2-e1c41688683f_instance-19" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-19:39a050b6-f669-51ee-82a2-e1c416886848_instance-19" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-19:621e4754-175d-80ad-5eac-c447fa814f52_instance-19" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-19:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-19:621e4754-175d-80ad-5eac-c447fa814f53_instance-19" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="mr-brainwash" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-20" href="/styles/mr-brainwash" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66ae98183c2b43d0c6bccc0f_Mr_Brainwash_V61_p.jpeg" loading="eager" alt="Mr. Brainwash Midjourney AI style | Street Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Street Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Expressive</span>, <span fs-cmsfilter-field="features">Bold lines</span>, <span fs-cmsfilter-field="features">Broad brushstrokes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Mr. Brainwash</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Mr. Brainwash" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Mr. Brainwash</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-20" href="/categories/street-artists">Street Artists</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-20:39a050b6-f669-51ee-82a2-e1c41688683f_instance-20" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-20:39a050b6-f669-51ee-82a2-e1c416886848_instance-20" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-20:621e4754-175d-80ad-5eac-c447fa814f52_instance-20" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-20:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-20:621e4754-175d-80ad-5eac-c447fa814f53_instance-20" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="paul-gustav-fischer" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-21" href="/styles/paul-gustav-fischer" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66ae246f31e53c07cb399346_Paul_Gustav_Fischer_V61_p.jpeg" loading="eager" alt="Paul Gustav Fischer Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Urban</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Scenes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Fischer</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Paul Gustav Fischer" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Paul Gustav Fischer</div></div><div class="s-dtls"><div ml-s="pd" class="s-dtl"><div fs-cmsfilter-field="Public Domain" class="h w-embed">true</div><img alt="Public Domain artist" loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ac2_PublicDomain.svg" class="i-is" /></div><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-21" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-21:39a050b6-f669-51ee-82a2-e1c41688683f_instance-21" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-21:39a050b6-f669-51ee-82a2-e1c416886848_instance-21" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-21:621e4754-175d-80ad-5eac-c447fa814f52_instance-21" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-21:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-21:621e4754-175d-80ad-5eac-c447fa814f53_instance-21" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="marion-peck" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-22" href="/styles/marion-peck" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3315ea6e3127df566b9b_Marion_Peck_V61_p.jpeg" loading="eager" alt="Marion Peck Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Illustrative</span>, <span fs-cmsfilter-field="features">Portraits</span>, <span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Animals</span>, <span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Detailed</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Peck</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Marion Peck" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Marion Peck</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-22" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-22:39a050b6-f669-51ee-82a2-e1c41688683f_instance-22" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-22:39a050b6-f669-51ee-82a2-e1c416886848_instance-22" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-22:621e4754-175d-80ad-5eac-c447fa814f52_instance-22" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-22:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-22:621e4754-175d-80ad-5eac-c447fa814f53_instance-22" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="mark-ruwedel" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-23" href="/styles/mark-ruwedel" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af3455bd2a699313a267c2_Mark_Ruwedel_V61_p.jpeg" loading="eager" alt="Mark Ruwedel Midjourney AI style | Photographers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Photographers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">BW</span>, <span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Urban</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Ruwedel</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Mark Ruwedel" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Mark Ruwedel</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-23" href="/categories/photographers">Photographers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-23:39a050b6-f669-51ee-82a2-e1c41688683f_instance-23" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-23:39a050b6-f669-51ee-82a2-e1c416886848_instance-23" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-23:621e4754-175d-80ad-5eac-c447fa814f52_instance-23" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-23:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-23:621e4754-175d-80ad-5eac-c447fa814f53_instance-23" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="max-gimblett" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-24" href="/styles/max-gimblett" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af33223396064f8166b9c5_Max_Gimblett_V61_p.jpeg" loading="eager" alt="Max Gimblett Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Expressive</span>, <span fs-cmsfilter-field="features">Broad brushstrokes</span>, <span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Painterly</span>, <span fs-cmsfilter-field="features">Moody</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Gimblett</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Max Gimblett" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Max Gimblett</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-24" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-24:39a050b6-f669-51ee-82a2-e1c41688683f_instance-24" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-24:39a050b6-f669-51ee-82a2-e1c416886848_instance-24" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-24:621e4754-175d-80ad-5eac-c447fa814f52_instance-24" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-24:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-24:621e4754-175d-80ad-5eac-c447fa814f53_instance-24" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="mary-sibande" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-25" href="/styles/mary-sibande" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30ba3c0e2a998df00bd9_Mary_Sibande_V61_p.jpeg" loading="eager" alt="Mary Sibande Midjourney AI style | Sculptors + Installation Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Sculptors + Installation Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Surreal</span>, <span fs-cmsfilter-field="features">Realistic</span>, <span fs-cmsfilter-field="features">Expressive</span>, <span fs-cmsfilter-field="features">Animals</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Sibande</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Mary Sibande" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Mary Sibande</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-25" href="/categories/sculpture-installation">Sculptors</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-25:39a050b6-f669-51ee-82a2-e1c41688683f_instance-25" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-25:39a050b6-f669-51ee-82a2-e1c416886848_instance-25" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-25:621e4754-175d-80ad-5eac-c447fa814f52_instance-25" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-25:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-25:621e4754-175d-80ad-5eac-c447fa814f53_instance-25" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="peter-halley" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-26" href="/styles/peter-halley" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af310a132513e7a582630f_Peter_Halley_V61_p.jpeg" loading="eager" alt="Peter Halley Midjourney AI style | Sculptors + Installation Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Sculptors + Installation Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Vivid</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Urban</span>, <span fs-cmsfilter-field="features">Illustrative</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Halley</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Peter Halley" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Peter Halley</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-26" href="/categories/sculpture-installation">Sculptors</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-26:39a050b6-f669-51ee-82a2-e1c41688683f_instance-26" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-26:39a050b6-f669-51ee-82a2-e1c416886848_instance-26" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-26:621e4754-175d-80ad-5eac-c447fa814f52_instance-26" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-26:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-26:621e4754-175d-80ad-5eac-c447fa814f53_instance-26" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="nendoroid" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-27" href="/styles/nendoroid" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30d6c01c8b3350c093f2_Nendoroid_V61_p.jpeg" loading="eager" alt="Nendoroid Midjourney AI style | Titles | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Titles</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Characters</span>, <span fs-cmsfilter-field="features">Cute</span>, <span fs-cmsfilter-field="features">Vivid</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Nendoroid</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Nendoroid" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Nendoroid</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-27" href="/categories/titles">Titles</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-27:39a050b6-f669-51ee-82a2-e1c41688683f_instance-27" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-27:39a050b6-f669-51ee-82a2-e1c416886848_instance-27" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-27:621e4754-175d-80ad-5eac-c447fa814f52_instance-27" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-27:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-27:621e4754-175d-80ad-5eac-c447fa814f53_instance-27" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="norman-lewis" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-28" href="/styles/norman-lewis" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30e7f6ce50c2c7396d6b_Norman_Lewis_V61_p.jpeg" loading="eager" alt="Norman Lewis Midjourney AI style | Painters | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Painters</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Broad brushstrokes</span>, <span fs-cmsfilter-field="features">Abstract</span>, <span fs-cmsfilter-field="features">Expressive</span>, <span fs-cmsfilter-field="features">Scenes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Lewis</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Norman Lewis" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Norman Lewis</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-28" href="/categories/painters">Painters</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-28:39a050b6-f669-51ee-82a2-e1c41688683f_instance-28" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-28:39a050b6-f669-51ee-82a2-e1c416886848_instance-28" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-28:621e4754-175d-80ad-5eac-c447fa814f52_instance-28" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-28:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-28:621e4754-175d-80ad-5eac-c447fa814f53_instance-28" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="mira-schendel" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-29" href="/styles/mira-schendel" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30c5e22946064d3acf51_Mira_Schendel_V61_p.jpeg" loading="eager" alt="Mira Schendel Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Subdued</span>, <span fs-cmsfilter-field="features">Abstract</span>, <span fs-cmsfilter-field="features">Geometric</span>, <span fs-cmsfilter-field="features">Fine lines</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Schendel</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Mira Schendel" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Mira Schendel</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-29" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-29:39a050b6-f669-51ee-82a2-e1c41688683f_instance-29" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-29:39a050b6-f669-51ee-82a2-e1c416886848_instance-29" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-29:621e4754-175d-80ad-5eac-c447fa814f52_instance-29" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-29:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-29:621e4754-175d-80ad-5eac-c447fa814f53_instance-29" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="neil-blevins" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-30" href="/styles/neil-blevins" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30d37bddaf40ef76a4bb_Neil_Blevins_V61_p.jpeg" loading="eager" alt="Neil Blevins Midjourney AI style | Various Artists | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Various Artists</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Landscapes</span>, <span fs-cmsfilter-field="features">Moody</span>, <span fs-cmsfilter-field="features">Sci-fi</span>, <span fs-cmsfilter-field="features">Surreal</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Blevins</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Neil Blevins" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Neil Blevins</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-30" href="/categories/various-artists">Various</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-30:39a050b6-f669-51ee-82a2-e1c41688683f_instance-30" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in m-r25">Collection Name (custom)</div><div ml-pc="cnt" class="t-cnt">117</div></div></div><div ml-pc="newc" class="fx"><div ml-pc="new" data-w-id="39a050b6-f669-51ee-82a2-e1c416886847" class="pc-act l-ia"><a data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-30:39a050b6-f669-51ee-82a2-e1c416886848_instance-30" href="#" class="pc-upd">+</a></div><input ml-pc="new-nm" class="f-in w-input" maxlength="256" name="field" data-name placeholder="New Collection name" type="text" required /></div><div ml-pc="loader" class="pc-msg h"><img src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c4fda_Loader.gif" loading="lazy" alt class="i-im o25" /></div></div><a ml-pca="fav" fs-modal-element="open-420" ml-u="0" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-30:621e4754-175d-80ad-5eac-c447fa814f52_instance-30" href="#" class="pc-fav gtm-fav-u0 w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a><a ml-u="1" ml-pc="fav" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-30:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-30:621e4754-175d-80ad-5eac-c447fa814f53_instance-30" href="#" class="pc-fav gtm-fav-u1 h w-inline-block"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58f6_FavYolk.svg" alt="Favorites" class="i-ico" /></a></div></div></div><div data-w-id="06e056e2-2ef4-1146-7998-6db467f18bd3" role="listitem" class="collection-item w-dyn-item"><div ml="style" ml-s="paul-souders" class="ml-s"><a ml-s="lnk" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-31:322b2cfa-f9b2-7fd1-6a58-7428ac0610df_instance-31" href="/styles/paul-souders" class="w-inline-block"><img width="Auto" ml-s="prv" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f53/66af30feba8eaad7465e76b5_Paul_Souders_V61_p.jpeg" loading="eager" alt="Paul Souders Midjourney AI style | Photographers | Midlibrary" class="ml-s-i" /></a><div class="s-meta"><div ml-style="desc" fs-cmsfilter-field="desc"></div><div ml-s="cat-c" fs-cmsfilter-field="category">Photographers</div><div ml-style="sections-code" class="w-richtext"><p>‍</p></div><div ml-style="features-code" class="w-richtext"><span fs-cmsfilter-field="features">Detailed</span>, <span fs-cmsfilter-field="features">Animals</span>, <span fs-cmsfilter-field="features">Landscapes</span></div><div ml-style="sort" fs-cmsfilter-field="sort">Souders</div><div ml-style="date" fs-cmssort-field="date" fs-cmssort-type="date">October 19, 2023</div><div ml-style="country" fs-cmsfilter-field="country"></div></div><div class="s-ttl"><div fs-copyclip-element="click" fs-copyclip-text="Paul Souders" data-w-id="322b2cfa-f9b2-7fd1-6a58-7428ac0610e2" class="s-nm"><div fs-cmsfilter-field="name" ml-s="nm" class="copy3">Paul Souders</div></div><div class="s-dtls"><a ml-s="cat" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-31:c022af4f-d043-3cee-f542-7ed0d5ad7d98_instance-31" href="/categories/photographers">Photographers</a></div></div><div class="pc-favs"><div ml-pc="cols" ml-u="1" class="pc-cols"><div ml-tmp="col" class="fx"><div ml-pc="act" data-w-id="39a050b6-f669-51ee-82a2-e1c41688683e" class="pc-act"><a ml-pc="upd" data-wf-native-id-path="a7018d65-4a5c-3dfb-061e-9655fbd91e2d_instance-31:93cd70a3-1588-c2b4-a23f-a445d22cf1ec_instance-31:39a050b6-f669-51ee-82a2-e1c41688683f_instance-31" href="#" class="pc-upd">+</a></div><div class="t-in"><div ml-pc="nm" class="t-in 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If you are a Midlibrary Patron, please, <a href="https://www.patreon.com/posts/update-on-106921344" data-wf-native-id-path="2e1b797e-fcae-6c50-f9af-a960c586b2e3:f3cdf631-3b08-94ed-a08c-2f5e5958dc5f:632cbafd-0b4d-1330-742d-2c2765dfb779" target="_blank">check this Patreon post ↗︎</a> for Personal Libraries status updates<span class="em">.</span> </p></div></div><div class="fx fx-v gp15"><p>To start creating Collections and save favorite styles:</p><a ml-ue="in" data-wf-native-id-path="2e1b797e-fcae-6c50-f9af-a960c586b2e3:f3cdf631-3b08-94ed-a08c-2f5e5958dc5f:632cbafd-0b4d-1330-742d-2c2765dfb782" href="#" class="c-ml bd-dt bdc-ml pd1 t-l m-b15 gtm-discord-u0">Log in with Discord →</a><div class="fx gp1"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522eb4ea3030cf8c5ee2_My.Library.svg" alt="Personal Style Collections" class="i-ix" /><p class="al-l"><a href="/midlibrary/personal-style-libraries" data-wf-native-id-path="2e1b797e-fcae-6c50-f9af-a960c586b2e3:f3cdf631-3b08-94ed-a08c-2f5e5958dc5f:632cbafd-0b4d-1330-742d-2c2765dfb787" class="c-ml">Learn more about Personal Style Libraries</a>, saving favorite styles, and organizing them into Collections.</p></div><div class="fx gp1"><img loading="lazy" src="https://assets.midlibrary.io/6629522db4ea3030cf8c4f18/6629522db4ea3030cf8c58d6_FavE.svg" alt class="i-ix" /><p class="al-l">Learn more about supporting Midlibrary and the  <a href="https://www.patreon.com/Midlibrary" data-wf-native-id-path="2e1b797e-fcae-6c50-f9af-a960c586b2e3:f3cdf631-3b08-94ed-a08c-2f5e5958dc5f:632cbafd-0b4d-1330-742d-2c2765dfb78e" target="_blank" class="c-ml">benefits of joining our Patreon community →</a></p></div></div><a fs-modal-element="close-420" data-wf-native-id-path="2e1b797e-fcae-6c50-f9af-a960c586b2e3:f3cdf631-3b08-94ed-a08c-2f5e5958dc5f:632cbafd-0b4d-1330-742d-2c2765dfb790" href="#" class="c-scr m-t3">✕ <span class="t-a bdc-scr">Close</span></a></div></div></div><div class="w-form"><form id="ml-usr" name="wf-form-ml-u" data-name="ml-u" method="get" data-wf-page-id="6629522db4ea3030cf8c509b" data-wf-element-id="78257a69-3a27-3ff5-f9f0-4771105f6ef4"></form></div><div class="js"><div class="js-listener w-embed w-script"><script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script>
+document.addEventListener("DOMContentLoaded", function() {
+    initializePage();
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+function initializePage() {
+}
+</script></div><div class="js-cat-ui w-embed w-script"><script>
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+    const style = document.createElement('style');
+    style.type = 'text/css';
+    style.innerHTML = `
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+            outline-color: white !important;
+        }
+        .w-radio-input.w--redirected-checked + input[type="radio"]:checked + .w-form-label {
+            color: white !important;
+        }
+        .tab-link.active {
+            outline-color: white !important;
+        }
+    `;
+    document.head.appendChild(style);
+
+    const radios = document.querySelectorAll('input[type="radio"][name="radio"]');
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+    function updateActiveClass(radio, event) {
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+        document.querySelectorAll('.tab-link').forEach(tabLink => {
+            tabLink.classList.remove('active');
+            console.log('Active class removed from:', tabLink);
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+            const parentTabLink = radio.closest('.tab-link');
+            if (parentTabLink) {
+                parentTabLink.classList.add('active');
+                console.log('Active class added to:', parentTabLink);
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+                    filtersGroup.elements.forEach(function (elementsItem) {
+                        var cover = elementsItem.element.parentElement.querySelector(".filter-block");
+
+                        var shouldSkip = elementsItem.element.type !== "checkbox" || !cover;
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+    const form = document.getElementById('slnt');
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+</script></div><div class="js-anns w-embed w-script"><script>
+function initAnns() {
+
+    document.querySelectorAll('.page-ann-card').forEach(card => {
+        card.addEventListener('mouseenter', function() {
+            this.querySelector('.p-a-desc').classList.add('black');
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+    document.querySelectorAll('.page-ann-card').forEach(card => {
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+                node.childNodes.forEach(child => replaceText(child));
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+</script></div></div></div></div><script src="https://d3e54v103j8qbb.cloudfront.net/js/jquery-3.5.1.min.dc5e7f18c8.js?site=6629522db4ea3030cf8c4f18" type="text/javascript" integrity="sha256-9/aliU8dGd2tb6OSsuzixeV4y/faTqgFtohetphbbj0=" crossorigin="anonymous"></script><script src="https://cdn.prod.website-files.com/6629522db4ea3030cf8c4f18/js/webflow.f65c2dd0d.js" type="text/javascript"></script><noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-KGXL4C4"
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diff --git a/djangoManager/djangoManager.pyproj b/djangoManager/djangoManager.pyproj
index 78233c7..f627fe2 100644
--- a/djangoManager/djangoManager.pyproj
+++ b/djangoManager/djangoManager.pyproj
@@ -1,69 +1,69 @@
-<?xml version="1.0" encoding="utf-8"?>
-<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003" DefaultTargets="Build">
-  <PropertyGroup>
-    <Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
-    <SchemaVersion>2.0</SchemaVersion>
-    <ProjectGuid>{19ff410a-88e1-4558-8f50-8c6fccac2b07}</ProjectGuid>
-    <ProjectHome />
-    <StartupFile />
-    <SearchPath />
-    <WorkingDirectory>.</WorkingDirectory>
-    <OutputPath>.</OutputPath>
-    <ProjectTypeGuids>{888888a0-9f3d-457c-b088-3a5042f75d52}</ProjectTypeGuids>
-    <LaunchProvider>Standard Python launcher</LaunchProvider>
-    <InterpreterId>
-    </InterpreterId>
-    <SuppressConfigureTestFrameworkPrompt>true</SuppressConfigureTestFrameworkPrompt>
-  </PropertyGroup>
-  <PropertyGroup Condition="'$(Configuration)' == 'Debug'" />
-  <PropertyGroup Condition="'$(Configuration)' == 'Release'" />
-  <PropertyGroup>
-    <VisualStudioVersion Condition=" '$(VisualStudioVersion)' == '' ">10.0</VisualStudioVersion>
-  </PropertyGroup>
-  <ItemGroup>
-    <Compile Remove="env2/**" />
-    <Compile Remove="env/**" />
-    <EmbeddedResource Remove="env2/**" />
-    <EmbeddedResource Remove="env/**" />
-    <None Remove="env2/**" />
-    <None Remove="env/**" />
-  </ItemGroup>
-  <ItemGroup>
-    <Content Include=".gitignore" />
-    <Content Include="imageMaker\images\templates\admin\base_site.html" />
-    <Content Include="imageMaker\images\templates\admin\prompt_generate.html" />
-    <Content Include="imageMaker\images\templates\base.html" />
-    <Content Include="imageMaker\images\templates\text_input.html" />
-    <Content Include="imageMaker\images\templates\upload_json.html" />
-    <Content Include="imageMaker\requirements.txt" />
-  </ItemGroup>
-  <ItemGroup>
-    <Compile Include="imageMaker\imageMaker\asgi.py" />
-    <Compile Include="imageMaker\imageMaker\request_logging_middleware.py" />
-    <Compile Include="imageMaker\imageMaker\settings.py" />
-    <Compile Include="imageMaker\imageMaker\urls.py" />
-    <Compile Include="imageMaker\imageMaker\wsgi.py" />
-    <Compile Include="imageMaker\imageMaker\__init__.py" />
-    <Compile Include="imageMaker\images\admin.py" />
-    <Compile Include="imageMaker\images\apps.py" />
-    <Compile Include="imageMaker\images\migrations\0001_initial.py" />
-    <Compile Include="imageMaker\images\migrations\0002_remove_prompt_tags.py" />
-    <Compile Include="imageMaker\images\migrations\0003_alter_imagegeneration_details_and_more.py" />
-    <Compile Include="imageMaker\images\migrations\0004_rename_imageproducer_imageproducertype_and_more.py" />
-    <Compile Include="imageMaker\images\migrations\__init__.py" />
-    <Compile Include="imageMaker\images\models.py" />
-    <Compile Include="imageMaker\images\tests.py" />
-    <Compile Include="imageMaker\images\views.py" />
-    <Compile Include="imageMaker\images\__init__.py" />
-    <Compile Include="imageMaker\manage.py" />
-  </ItemGroup>
-  <ItemGroup>
-    <Folder Include="imageMaker" />
-    <Folder Include="imageMaker\imageMaker" />
-    <Folder Include="imageMaker\images" />
-    <Folder Include="imageMaker\images\migrations" />
-    <Folder Include="imageMaker\images\templates" />
-    <Folder Include="imageMaker\images\templates\admin" />
-  </ItemGroup>
-  <Import Project="$(MSBuildExtensionsPath32)\Microsoft\VisualStudio\v$(VisualStudioVersion)\Python Tools\Microsoft.PythonTools.targets" />
+<?xml version="1.0" encoding="utf-8"?>
+<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003" DefaultTargets="Build">
+  <PropertyGroup>
+    <Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
+    <SchemaVersion>2.0</SchemaVersion>
+    <ProjectGuid>{19ff410a-88e1-4558-8f50-8c6fccac2b07}</ProjectGuid>
+    <ProjectHome />
+    <StartupFile />
+    <SearchPath />
+    <WorkingDirectory>.</WorkingDirectory>
+    <OutputPath>.</OutputPath>
+    <ProjectTypeGuids>{888888a0-9f3d-457c-b088-3a5042f75d52}</ProjectTypeGuids>
+    <LaunchProvider>Standard Python launcher</LaunchProvider>
+    <InterpreterId>
+    </InterpreterId>
+    <SuppressConfigureTestFrameworkPrompt>true</SuppressConfigureTestFrameworkPrompt>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)' == 'Debug'" />
+  <PropertyGroup Condition="'$(Configuration)' == 'Release'" />
+  <PropertyGroup>
+    <VisualStudioVersion Condition=" '$(VisualStudioVersion)' == '' ">10.0</VisualStudioVersion>
+  </PropertyGroup>
+  <ItemGroup>
+    <Compile Remove="env2/**" />
+    <Compile Remove="env/**" />
+    <EmbeddedResource Remove="env2/**" />
+    <EmbeddedResource Remove="env/**" />
+    <None Remove="env2/**" />
+    <None Remove="env/**" />
+  </ItemGroup>
+  <ItemGroup>
+    <Content Include=".gitignore" />
+    <Content Include="imageMaker\images\templates\admin\base_site.html" />
+    <Content Include="imageMaker\images\templates\admin\prompt_generate.html" />
+    <Content Include="imageMaker\images\templates\base.html" />
+    <Content Include="imageMaker\images\templates\text_input.html" />
+    <Content Include="imageMaker\images\templates\upload_json.html" />
+    <Content Include="imageMaker\requirements.txt" />
+  </ItemGroup>
+  <ItemGroup>
+    <Compile Include="imageMaker\imageMaker\asgi.py" />
+    <Compile Include="imageMaker\imageMaker\request_logging_middleware.py" />
+    <Compile Include="imageMaker\imageMaker\settings.py" />
+    <Compile Include="imageMaker\imageMaker\urls.py" />
+    <Compile Include="imageMaker\imageMaker\wsgi.py" />
+    <Compile Include="imageMaker\imageMaker\__init__.py" />
+    <Compile Include="imageMaker\images\admin.py" />
+    <Compile Include="imageMaker\images\apps.py" />
+    <Compile Include="imageMaker\images\migrations\0001_initial.py" />
+    <Compile Include="imageMaker\images\migrations\0002_remove_prompt_tags.py" />
+    <Compile Include="imageMaker\images\migrations\0003_alter_imagegeneration_details_and_more.py" />
+    <Compile Include="imageMaker\images\migrations\0004_rename_imageproducer_imageproducertype_and_more.py" />
+    <Compile Include="imageMaker\images\migrations\__init__.py" />
+    <Compile Include="imageMaker\images\models.py" />
+    <Compile Include="imageMaker\images\tests.py" />
+    <Compile Include="imageMaker\images\views.py" />
+    <Compile Include="imageMaker\images\__init__.py" />
+    <Compile Include="imageMaker\manage.py" />
+  </ItemGroup>
+  <ItemGroup>
+    <Folder Include="imageMaker" />
+    <Folder Include="imageMaker\imageMaker" />
+    <Folder Include="imageMaker\images" />
+    <Folder Include="imageMaker\images\migrations" />
+    <Folder Include="imageMaker\images\templates" />
+    <Folder Include="imageMaker\images\templates\admin" />
+  </ItemGroup>
+  <Import Project="$(MSBuildExtensionsPath32)\Microsoft\VisualStudio\v$(VisualStudioVersion)\Python Tools\Microsoft.PythonTools.targets" />
 </Project>
\ No newline at end of file
diff --git a/djangoManager/imageMaker/ideogram/ideogramClient.py b/djangoManager/imageMaker/ideogram/ideogramClient.py
index 227942c..ab96e79 100644
--- a/djangoManager/imageMaker/ideogram/ideogramClient.py
+++ b/djangoManager/imageMaker/ideogram/ideogramClient.py
@@ -1,155 +1,155 @@
-import aiohttp
-import json, datetime
-from typing import Dict, Any, List, Optional
-from enum import Enum, auto
-import asyncio
-from dataclasses import dataclass, asdict
-
-
-class IdeogramAspectRatio(Enum):
-    ASPECT_1_1 = "1:1"
-    ASPECT_16_9 = "16:9"
-    ASPECT_9_16 = "9:16"
-    ASPECT_4_3 = "4:3"
-    ASPECT_3_4 = "3:4"
-
-class IdeogramModel(Enum):
-    V_1 = "1"
-    V_2 = "2"
- 
-class IdeogramMagicPromptOption(Enum):
-    ON = "on"
-    OFF = "off"
-
-class IdeogramStyleType(Enum):
-    GENERAL = "general"
-    ANIME = "anime"
-    PHOTOGRAPHY = "photography"
-
-@dataclass
-class IdeogramDetails:
-    aspect_ratio: Optional[IdeogramAspectRatio] = None
-    model: Optional[IdeogramModel] = None
-    magic_prompt_option: Optional[IdeogramMagicPromptOption] = None
-    style_type: Optional[IdeogramStyleType] = None
-    negative_prompt: str = ""
-
-@dataclass
-class IdeogramGenerateRequest:
-    prompt: str
-    aspect_ratio: Optional[IdeogramAspectRatio] = None
-    resolution: Optional[str] = None
-    model: Optional[IdeogramModel] = None
-    magic_prompt_option: Optional[IdeogramMagicPromptOption] = None
-    style_type: Optional[IdeogramStyleType] = None
-    negative_prompt: str = ""
-    seed: Optional[int] = None
-
-    def to_dict(self):
-        return {k: v.value if isinstance(v, Enum) else v for k, v in asdict(self).items() if v is not None}
-
-@dataclass
-class ImageObject:
-    url: str
-    prompt: str
-    resolution: str
-    is_image_safe: bool
-    seed: int
-
-@dataclass
-class GenerateResponse:
-    created: datetime
-    data: List[ImageObject]
-
-
-class IdeogramClient:
-    BASE_URL = "https://api.ideogram.ai"
-
-    def __init__(self, api_key: str):
-        self.api_key = api_key
-        self._session: Optional[aiohttp.ClientSession] = None
-
-    async def _get_session(self) -> aiohttp.ClientSession:
-        if self._session is None or self._session.closed:
-            self._session = aiohttp.ClientSession(headers={"Api-Key": self.api_key})
-        return self._session
-
-    async def generate_image_async(self, request: IdeogramGenerateRequest) -> GenerateResponse:
-        session = await self._get_session()
-        json_request = json.dumps({"image_request": request.to_dict()}, default=str)
-        
-        async with session.post(f"{self.BASE_URL}/generate", data=json_request, headers={"Content-Type": "application/json"}) as response:
-            if response.status != 200:
-                error_content = await response.text()
-                raise aiohttp.ClientResponseError(
-                    response.request_info,
-                    response.history,
-                    status=response.status,
-                    message=f"API request failed with status code {response.status}. Response: {error_content}"
-                )
-            
-            content = await response.json()
-            return GenerateResponse(
-                created=datetime.fromisoformat(content["created"]),
-                data=[ImageObject(**img) for img in content["data"]]
-            )
-
-    async def close(self):
-        if self._session and not self._session.closed:
-            await self._session.close()
-
-class IdeogramService:
-    def __init__(self, api_key: str, max_concurrency: int):
-        self.ideogram_client = IdeogramClient(api_key)
-        self.semaphore = asyncio.Semaphore(max_concurrency)
-
-    async def process_prompt_async(self, prompt_details: Dict[str, Any], stats: Dict[str, Any]) -> Dict[str, Any]:
-        async with self.semaphore:
-            try:
-                ideogram_details = prompt_details.get("ideogram_details", {})
-                request = IdeogramGenerateRequest(
-                    prompt=prompt_details["prompt"],
-                    **ideogram_details
-                )
-
-                stats["ideogram_request_count"] += 1
-                response = await self.ideogram_client.generate_image_async(request)
-
-                if response.data and len(response.data) == 1:
-                    image_object = response.data[0]
-                    returned_prompt = image_object.prompt
-                    
-                    if returned_prompt != prompt_details["prompt"]:
-                        prompt_details["prompt"] = returned_prompt
-                        prompt_details["prompt_rewrite"] = {
-                            "source": "Ideogram rewrite",
-                            "rewrite": returned_prompt
-                        }
-
-                    return {
-                        "response": response,
-                        "is_success": True,
-                        "url": image_object.url,
-                        "prompt_details": prompt_details,
-                        "generator": "Ideogram"
-                    }
-                elif response.data and len(response.data) > 1:
-                    raise Exception("Multiple images returned? I can't handle this! Who knew!")
-                else:
-                    return {
-                        "is_success": False,
-                        "error_message": "No images generated",
-                        "prompt_details": prompt_details,
-                        "generator": "Ideogram"
-                    }
-            except Exception as ex:
-                return {
-                    "is_success": False,
-                    "error_message": str(ex),
-                    "prompt_details": prompt_details,
-                    "generator": "Ideogram"
-                }
-
-    # If you still need a synchronous version, you can add this method:
-    def process_prompt(self, prompt_details: Dict[str, Any], stats: Dict[str, Any]) -> Dict[str, Any]:
-        return asyncio.run(self.process_prompt_async(prompt_details, stats))
+import aiohttp
+import json, datetime
+from typing import Dict, Any, List, Optional
+from enum import Enum, auto
+import asyncio
+from dataclasses import dataclass, asdict
+
+
+class IdeogramAspectRatio(Enum):
+    ASPECT_1_1 = "1:1"
+    ASPECT_16_9 = "16:9"
+    ASPECT_9_16 = "9:16"
+    ASPECT_4_3 = "4:3"
+    ASPECT_3_4 = "3:4"
+
+class IdeogramModel(Enum):
+    V_1 = "1"
+    V_2 = "2"
+ 
+class IdeogramMagicPromptOption(Enum):
+    ON = "on"
+    OFF = "off"
+
+class IdeogramStyleType(Enum):
+    GENERAL = "general"
+    ANIME = "anime"
+    PHOTOGRAPHY = "photography"
+
+@dataclass
+class IdeogramDetails:
+    aspect_ratio: Optional[IdeogramAspectRatio] = None
+    model: Optional[IdeogramModel] = None
+    magic_prompt_option: Optional[IdeogramMagicPromptOption] = None
+    style_type: Optional[IdeogramStyleType] = None
+    negative_prompt: str = ""
+
+@dataclass
+class IdeogramGenerateRequest:
+    prompt: str
+    aspect_ratio: Optional[IdeogramAspectRatio] = None
+    resolution: Optional[str] = None
+    model: Optional[IdeogramModel] = None
+    magic_prompt_option: Optional[IdeogramMagicPromptOption] = None
+    style_type: Optional[IdeogramStyleType] = None
+    negative_prompt: str = ""
+    seed: Optional[int] = None
+
+    def to_dict(self):
+        return {k: v.value if isinstance(v, Enum) else v for k, v in asdict(self).items() if v is not None}
+
+@dataclass
+class ImageObject:
+    url: str
+    prompt: str
+    resolution: str
+    is_image_safe: bool
+    seed: int
+
+@dataclass
+class GenerateResponse:
+    created: datetime
+    data: List[ImageObject]
+
+
+class IdeogramClient:
+    BASE_URL = "https://api.ideogram.ai"
+
+    def __init__(self, api_key: str):
+        self.api_key = api_key
+        self._session: Optional[aiohttp.ClientSession] = None
+
+    async def _get_session(self) -> aiohttp.ClientSession:
+        if self._session is None or self._session.closed:
+            self._session = aiohttp.ClientSession(headers={"Api-Key": self.api_key})
+        return self._session
+
+    async def generate_image_async(self, request: IdeogramGenerateRequest) -> GenerateResponse:
+        session = await self._get_session()
+        json_request = json.dumps({"image_request": request.to_dict()}, default=str)
+        
+        async with session.post(f"{self.BASE_URL}/generate", data=json_request, headers={"Content-Type": "application/json"}) as response:
+            if response.status != 200:
+                error_content = await response.text()
+                raise aiohttp.ClientResponseError(
+                    response.request_info,
+                    response.history,
+                    status=response.status,
+                    message=f"API request failed with status code {response.status}. Response: {error_content}"
+                )
+            
+            content = await response.json()
+            return GenerateResponse(
+                created=datetime.fromisoformat(content["created"]),
+                data=[ImageObject(**img) for img in content["data"]]
+            )
+
+    async def close(self):
+        if self._session and not self._session.closed:
+            await self._session.close()
+
+class IdeogramService:
+    def __init__(self, api_key: str, max_concurrency: int):
+        self.ideogram_client = IdeogramClient(api_key)
+        self.semaphore = asyncio.Semaphore(max_concurrency)
+
+    async def process_prompt_async(self, prompt_details: Dict[str, Any], stats: Dict[str, Any]) -> Dict[str, Any]:
+        async with self.semaphore:
+            try:
+                ideogram_details = prompt_details.get("ideogram_details", {})
+                request = IdeogramGenerateRequest(
+                    prompt=prompt_details["prompt"],
+                    **ideogram_details
+                )
+
+                stats["ideogram_request_count"] += 1
+                response = await self.ideogram_client.generate_image_async(request)
+
+                if response.data and len(response.data) == 1:
+                    image_object = response.data[0]
+                    returned_prompt = image_object.prompt
+                    
+                    if returned_prompt != prompt_details["prompt"]:
+                        prompt_details["prompt"] = returned_prompt
+                        prompt_details["prompt_rewrite"] = {
+                            "source": "Ideogram rewrite",
+                            "rewrite": returned_prompt
+                        }
+
+                    return {
+                        "response": response,
+                        "is_success": True,
+                        "url": image_object.url,
+                        "prompt_details": prompt_details,
+                        "generator": "Ideogram"
+                    }
+                elif response.data and len(response.data) > 1:
+                    raise Exception("Multiple images returned? I can't handle this! Who knew!")
+                else:
+                    return {
+                        "is_success": False,
+                        "error_message": "No images generated",
+                        "prompt_details": prompt_details,
+                        "generator": "Ideogram"
+                    }
+            except Exception as ex:
+                return {
+                    "is_success": False,
+                    "error_message": str(ex),
+                    "prompt_details": prompt_details,
+                    "generator": "Ideogram"
+                }
+
+    # If you still need a synchronous version, you can add this method:
+    def process_prompt(self, prompt_details: Dict[str, Any], stats: Dict[str, Any]) -> Dict[str, Any]:
+        return asyncio.run(self.process_prompt_async(prompt_details, stats))
diff --git a/djangoManager/imageMaker/imageMaker/asgi.py b/djangoManager/imageMaker/imageMaker/asgi.py
index 2c1669b..04adb38 100644
--- a/djangoManager/imageMaker/imageMaker/asgi.py
+++ b/djangoManager/imageMaker/imageMaker/asgi.py
@@ -1,15 +1,15 @@
-"""
-ASGI config for imageMaker project.
-
-It exposes the ASGI callable as a module-level variable named ``application``.
-
-For more information on this file, see
-https://docs.djangoproject.com/en/5.1/howto/deployment/asgi/
-"""
-
-import os
-from django.core.asgi import get_asgi_application
-
-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'imageMaker.settings')
-
-application = get_asgi_application()
+"""
+ASGI config for imageMaker project.
+
+It exposes the ASGI callable as a module-level variable named ``application``.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/5.1/howto/deployment/asgi/
+"""
+
+import os
+from django.core.asgi import get_asgi_application
+
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'imageMaker.settings')
+
+application = get_asgi_application()
diff --git a/djangoManager/imageMaker/imageMaker/request_logging_middleware.py b/djangoManager/imageMaker/imageMaker/request_logging_middleware.py
index 6322609..23ddf21 100644
--- a/djangoManager/imageMaker/imageMaker/request_logging_middleware.py
+++ b/djangoManager/imageMaker/imageMaker/request_logging_middleware.py
@@ -1,138 +1,138 @@
-import logging, json, traceback, time
-from django.conf import settings
-from urllib.parse import urlencode
-from django.db import connection
-from django.db.backends.utils import CursorWrapper
-from pprint import pformat
-
-logger = logging.getLogger(__name__)
-
-class QueryLoggerCursorWrapper(CursorWrapper):
-    def __init__(self, cursor, db, query_logger):
-        self.cursor = cursor
-        self.db = db
-        self.query_logger = query_logger
-
-    def execute(self, sql, params=None):
-        start = time.time()
-        try:
-            return self.cursor.execute(sql, params)
-        finally:
-            duration = time.time() - start
-            self.query_logger.log_query(sql, params, duration)
-
-    def executemany(self, sql, param_list):
-        start = time.time()
-        try:
-            return self.cursor.executemany(sql, param_list)
-        finally:
-            duration = time.time() - start
-            self.query_logger.log_query(sql, param_list, duration)
-
-class QueryLogger:
-    def __init__(self):
-        self.queries = []
-
-    def log_query(self, sql, params, duration):
-        self.queries.append({
-            'sql': self.format_sql(sql, params),
-            'time': f"{duration:.3f}"
-        })
-
-    def format_sql(self, sql, params):
-        if params:
-            return sql % tuple(map(repr, params))
-        return sql
-
-class RequestLoggingMiddleware:
-    def __init__(self, get_response):
-        self.get_response = get_response
-
-    def __call__(self, request):
-        query_logger = QueryLogger()
-        original_cursor = connection.cursor
-
-        def cursor():
-            return QueryLoggerCursorWrapper(original_cursor(), connection, query_logger)
-
-        connection.cursor = cursor
-        
-        start_time = time.time()
-        response = self.get_response(request)
-        duration = time.time() - start_time
-
-        connection.cursor = original_cursor
-        
-        bads=['/favicon.ico', '/robots.txt', '/jsi18n/']
-        if not any(bad in request.path for bad in bads) and settings.DEBUG:
-            log_data = {
-                'method': request.method,
-                'full_path': self.get_full_path(request),
-                'status_code': response.status_code,
-                'ip': self.get_client_ip(request),
-                'duration': f"{duration:.3f}s",
-                'queries': query_logger.queries
-            }
-            log_message = self.format_log_message(log_data)
-            logger.info(log_message)
-            # Add detailed logging
-            # logger.info(f"Request: {(request.POST)}")
-            # logger.info(f"Response: {(response.content)}")
-            for q in query_logger.queries:
-                logger.info(f"\t{q['sql']} (Time: {q['time']}s)")
-
-        # Remove this line as it's causing the debugger to pause execution
-        # import ipdb;ipdb.set_trace()
-
-        if settings.LOCAL and request.method == 'POST' and '/terrainparkour/' not in request.path and '/login/?next' not in request.path and request.path.startswith('/terrain/'):
-            try:
-                content = response.content.decode('utf-8')
-                loadedThing = json.loads(content)
-                if 'res' not in loadedThing:
-                    logger.info(f"no res in {loadedThing} (perhaps okay)")
-                else:
-                    item = loadedThing['res']
-                    formatted_item = pformat(item, indent=4, width=100)
-                    # logger.info(f"\nResponse content:\n{formatted_item}")
-            except json.JSONDecodeError:
-                logger.info(f"Unable to decode JSON response: {content}")
-            except Exception as e:
-                logger.info(f"Error processing response: {str(e)}")
-
-        return response
-
-    def get_client_ip(self, request):
-        x_forwarded_for = request.META.get('HTTP_X_FORWARDED_FOR')
-        return x_forwarded_for.split(',')[0] if x_forwarded_for else request.META.get('REMOTE_ADDR')
-
-    def get_full_path(self, request):
-        full_path = request.get_full_path() + " "
-        remoteActionName = ""
-        values=[]
-        if request.method in ['POST', ]:
-            full_path='postEndpoint\t'
-            el = next(request.POST.items())
-            try:
-                vv=json.loads(el[0])
-                for key, value in sorted(vv.items()):
-                    if key=='remoteActionName':
-                        remoteActionName=value
-                        if remoteActionName=='userData':
-                            break
-                    if key=='data':
-                        if type(value)==list:
-                            continue
-                        for k,v in sorted(value.items()):
-                            values.append((k,v))
-                        continue
-                    if key=='secret': 
-                        continue
-            except:
-                pass
-            
-        combo = ' '.join([f"{el[0]}={el[1]}" for el in values])
-        return f"{full_path:10}{remoteActionName:30}{combo}"
-
-    def format_log_message(self, log_data):
-        base_message = f"{log_data['method']:20}\t{log_data['status_code']}\t{log_data['duration']}\t{log_data['full_path']}"
+import logging, json, traceback, time
+from django.conf import settings
+from urllib.parse import urlencode
+from django.db import connection
+from django.db.backends.utils import CursorWrapper
+from pprint import pformat
+
+logger = logging.getLogger(__name__)
+
+class QueryLoggerCursorWrapper(CursorWrapper):
+    def __init__(self, cursor, db, query_logger):
+        self.cursor = cursor
+        self.db = db
+        self.query_logger = query_logger
+
+    def execute(self, sql, params=None):
+        start = time.time()
+        try:
+            return self.cursor.execute(sql, params)
+        finally:
+            duration = time.time() - start
+            self.query_logger.log_query(sql, params, duration)
+
+    def executemany(self, sql, param_list):
+        start = time.time()
+        try:
+            return self.cursor.executemany(sql, param_list)
+        finally:
+            duration = time.time() - start
+            self.query_logger.log_query(sql, param_list, duration)
+
+class QueryLogger:
+    def __init__(self):
+        self.queries = []
+
+    def log_query(self, sql, params, duration):
+        self.queries.append({
+            'sql': self.format_sql(sql, params),
+            'time': f"{duration:.3f}"
+        })
+
+    def format_sql(self, sql, params):
+        if params:
+            return sql % tuple(map(repr, params))
+        return sql
+
+class RequestLoggingMiddleware:
+    def __init__(self, get_response):
+        self.get_response = get_response
+
+    def __call__(self, request):
+        query_logger = QueryLogger()
+        original_cursor = connection.cursor
+
+        def cursor():
+            return QueryLoggerCursorWrapper(original_cursor(), connection, query_logger)
+
+        connection.cursor = cursor
+        
+        start_time = time.time()
+        response = self.get_response(request)
+        duration = time.time() - start_time
+
+        connection.cursor = original_cursor
+        
+        bads=['/favicon.ico', '/robots.txt', '/jsi18n/']
+        if not any(bad in request.path for bad in bads) and settings.DEBUG:
+            log_data = {
+                'method': request.method,
+                'full_path': self.get_full_path(request),
+                'status_code': response.status_code,
+                'ip': self.get_client_ip(request),
+                'duration': f"{duration:.3f}s",
+                'queries': query_logger.queries
+            }
+            log_message = self.format_log_message(log_data)
+            logger.info(log_message)
+            # Add detailed logging
+            # logger.info(f"Request: {(request.POST)}")
+            # logger.info(f"Response: {(response.content)}")
+            for q in query_logger.queries:
+                logger.info(f"\t{q['sql']} (Time: {q['time']}s)")
+
+        # Remove this line as it's causing the debugger to pause execution
+        # import ipdb;ipdb.set_trace()
+
+        if settings.LOCAL and request.method == 'POST' and '/terrainparkour/' not in request.path and '/login/?next' not in request.path and request.path.startswith('/terrain/'):
+            try:
+                content = response.content.decode('utf-8')
+                loadedThing = json.loads(content)
+                if 'res' not in loadedThing:
+                    logger.info(f"no res in {loadedThing} (perhaps okay)")
+                else:
+                    item = loadedThing['res']
+                    formatted_item = pformat(item, indent=4, width=100)
+                    # logger.info(f"\nResponse content:\n{formatted_item}")
+            except json.JSONDecodeError:
+                logger.info(f"Unable to decode JSON response: {content}")
+            except Exception as e:
+                logger.info(f"Error processing response: {str(e)}")
+
+        return response
+
+    def get_client_ip(self, request):
+        x_forwarded_for = request.META.get('HTTP_X_FORWARDED_FOR')
+        return x_forwarded_for.split(',')[0] if x_forwarded_for else request.META.get('REMOTE_ADDR')
+
+    def get_full_path(self, request):
+        full_path = request.get_full_path() + " "
+        remoteActionName = ""
+        values=[]
+        if request.method in ['POST', ]:
+            full_path='postEndpoint\t'
+            el = next(request.POST.items())
+            try:
+                vv=json.loads(el[0])
+                for key, value in sorted(vv.items()):
+                    if key=='remoteActionName':
+                        remoteActionName=value
+                        if remoteActionName=='userData':
+                            break
+                    if key=='data':
+                        if type(value)==list:
+                            continue
+                        for k,v in sorted(value.items()):
+                            values.append((k,v))
+                        continue
+                    if key=='secret': 
+                        continue
+            except:
+                pass
+            
+        combo = ' '.join([f"{el[0]}={el[1]}" for el in values])
+        return f"{full_path:10}{remoteActionName:30}{combo}"
+
+    def format_log_message(self, log_data):
+        base_message = f"{log_data['method']:20}\t{log_data['status_code']}\t{log_data['duration']}\t{log_data['full_path']}"
         return f"{base_message}\nIP: {log_data['ip']}\nQueries: {len(log_data['queries'])}"
\ No newline at end of file
diff --git a/djangoManager/imageMaker/imageMaker/settings.py b/djangoManager/imageMaker/imageMaker/settings.py
index 08fe7ff..eb08eea 100644
--- a/djangoManager/imageMaker/imageMaker/settings.py
+++ b/djangoManager/imageMaker/imageMaker/settings.py
@@ -1,209 +1,209 @@
-"""
-Django settings for imageMaker project.
-
-Generated by 'django-admin startproject' using Django 5.1.2.
-
-For more information on this file, see
-https://docs.djangoproject.com/en/5.1/topics/settings/
-
-For the full list of settings and their values, see
-https://docs.djangoproject.com/en/5.1/ref/settings/
-"""
-
-from pathlib import Path
-import os
-from images.settings_loader import load_settings
-
-# Build paths inside the project like this: BASE_DIR / 'subdir'.
-BASE_DIR = Path(__file__).resolve().parent.parent
-
-
-# Quick-start development settings - unsuitable for production
-# See https://docs.djangoproject.com/en/5.1/howto/deployment/checklist/
-
-# SECURITY WARNING: keep the secret key used in production secret!
-SECRET_KEY = 'django-insecure-5pj1)7gpkepu6ul^nslcvlbh6#07sd1q_e-y^$_f8mr%@w-g7)'
-
-# SECURITY WARNING: don't run with debug turned on in production!
-DEBUG = True
-
-ALLOWED_HOSTS = []
-
-
-# Application definition
-STATIC_URL = '/static/'
-
-INSTALLED_APPS = [
-    'django.contrib.admin',
-    'django.contrib.auth',
-    'django.contrib.contenttypes',
-    'django.contrib.sessions',
-    'django.contrib.messages',
-    'django.contrib.staticfiles',
-    'images',
-]
-
-STATICFILES_DIRS = [
-    BASE_DIR / "static",
-]
-
-MIDDLEWARE = [
-    'django.middleware.security.SecurityMiddleware',
-    'django.contrib.sessions.middleware.SessionMiddleware',
-    'django.middleware.common.CommonMiddleware',
-    'django.middleware.csrf.CsrfViewMiddleware',
-    'django.contrib.auth.middleware.AuthenticationMiddleware',
-    'django.contrib.messages.middleware.MessageMiddleware',
-    'django.middleware.clickjacking.XFrameOptionsMiddleware',
-]
-
-ROOT_URLCONF = 'imageMaker.urls'
-
-TEMPLATES = [
-    {
-        'BACKEND': 'django.template.backends.django.DjangoTemplates',
-        'DIRS': [
-            BASE_DIR / 'templates',
-            BASE_DIR / 'images' / 'templates',
-        ],
-        'APP_DIRS': True,
-        'OPTIONS': {
-            'context_processors': [
-                'django.template.context_processors.debug',
-                'django.template.context_processors.request',
-                'django.contrib.auth.context_processors.auth',
-                'django.contrib.messages.context_processors.messages',
-            ],
-        },
-    },
-]
-
-WSGI_APPLICATION = 'imageMaker.wsgi.application'
-
-
-# Database
-# https://docs.djangoproject.com/en/5.1/ref/settings/#databases
-
-DATABASES = {
-    'default': {
-        'ENGINE': 'django.db.backends.mysql',
-        'NAME': 'imagemaker',
-        'USER': 'root',
-        'PASSWORD': 'root',
-        'HOST': 'localhost',
-        'PORT': '3306',
-        "OPTIONS": {"charset": "utf8mb4", "init_command": "SET NAMES 'utf8mb4', GLOBAL sql_mode=(SELECT REPLACE(@@sql_mode,'ONLY_FULL_GROUP_BY,',''));"},
-    }
-}
-
-
-# Password validation
-# https://docs.djangoproject.com/en/5.1/ref/settings/#auth-password-validators
-
-AUTH_PASSWORD_VALIDATORS = [
-    {
-        'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
-    },
-    {
-        'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
-    },
-    {
-        'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
-    },
-    {
-        'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
-    },
-]
-
-
-# Internationalization
-# https://docs.djangoproject.com/en/5.1/topics/i18n/
-
-LANGUAGE_CODE = 'en-us'
-
-TIME_ZONE = 'UTC'
-
-USE_I18N = True
-
-USE_TZ = True
-
-
-# Static files (CSS, JavaScript, Images)
-# https://docs.djangoproject.com/en/5.1/howto/static-files/
-
-STATIC_URL = 'static/'
-
-# Default primary key field type
-# https://docs.djangoproject.com/en/5.1/ref/settings/#default-auto-field
-
-DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
-
-# Logging Configuration
-LOGGING = {
-    'version': 1,
-    'disable_existing_loggers': False,
-    'formatters': {
-        'verbose': {
-            'format': '{levelname} {asctime} {module} {process:d} {thread:d} {message}',
-            'style': '{',
-        },
-        'simple': {
-            'format': '{levelname} {message}',
-            'style': '{',
-        },
-    },
-    'handlers': {
-        'file': {
-            'level': 'INFO',
-            'class': 'logging.FileHandler',
-            'filename': os.path.join(BASE_DIR, 'logs', 'django.log'),
-            'formatter': 'verbose',
-        },
-        'console': {
-            'level': 'INFO',
-            'class': 'logging.StreamHandler',
-            'formatter': 'simple',
-        },
-    },
-    'loggers': {
-        'django': {
-            'handlers': ['file', 'console'],
-            'level': 'INFO',
-            'propagate': True,
-        },
-        'imageMaker.request_logging_middleware': {
-            'handlers': ['file', 'console'],
-            'level': 'INFO',
-            'propagate': False,
-        },
-    },
-}
-
-# Ensure the logs directory exists
-LOGS_DIR = os.path.join(BASE_DIR, 'logs') 
-os.makedirs(LOGS_DIR, exist_ok=True)
-
-# Add this to enable request logging
-LOCAL = True
-
-DATA_UPLOAD_MAX_MEMORY_SIZE = 104857600 # 100MB
-
-# Load custom settings
-CUSTOM_SETTINGS = load_settings()
-
-if CUSTOM_SETTINGS:
-    # Use the custom settings in your Django configuration
-    MEDIA_ROOT = CUSTOM_SETTINGS.image_download_base_folder
-    IDEOGRAM_API_KEY = CUSTOM_SETTINGS.ideogram_api_key
-    OPENAI_API_KEY = CUSTOM_SETTINGS.openai_api_key
-    ANTHROPIC_API_KEY = CUSTOM_SETTINGS.anthropic_api_key
-    BFL_API_KEY = CUSTOM_SETTINGS.bfl_api_key
-    
-    # You can add more custom settings as needed
-else:
-    # Fallback values if settings couldn't be loaded
-    MEDIA_ROOT = os.path.join(BASE_DIR, 'media')
-    IDEOGRAM_API_KEY = 'your_fallback_ideogram_api_key_here'
-    OPENAI_API_KEY = 'your_fallback_openai_api_key_here'
-    ANTHROPIC_API_KEY = 'your_fallback_anthropic_api_key_here'
-    BFL_API_KEY = 'your_fallback_bfl_api_key_here'
+"""
+Django settings for imageMaker project.
+
+Generated by 'django-admin startproject' using Django 5.1.2.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/5.1/topics/settings/
+
+For the full list of settings and their values, see
+https://docs.djangoproject.com/en/5.1/ref/settings/
+"""
+
+from pathlib import Path
+import os
+from images.settings_loader import load_settings
+
+# Build paths inside the project like this: BASE_DIR / 'subdir'.
+BASE_DIR = Path(__file__).resolve().parent.parent
+
+
+# Quick-start development settings - unsuitable for production
+# See https://docs.djangoproject.com/en/5.1/howto/deployment/checklist/
+
+# SECURITY WARNING: keep the secret key used in production secret!
+SECRET_KEY = 'django-insecure-5pj1)7gpkepu6ul^nslcvlbh6#07sd1q_e-y^$_f8mr%@w-g7)'
+
+# SECURITY WARNING: don't run with debug turned on in production!
+DEBUG = True
+
+ALLOWED_HOSTS = []
+
+
+# Application definition
+STATIC_URL = '/static/'
+
+INSTALLED_APPS = [
+    'django.contrib.admin',
+    'django.contrib.auth',
+    'django.contrib.contenttypes',
+    'django.contrib.sessions',
+    'django.contrib.messages',
+    'django.contrib.staticfiles',
+    'images',
+]
+
+STATICFILES_DIRS = [
+    BASE_DIR / "static",
+]
+
+MIDDLEWARE = [
+    'django.middleware.security.SecurityMiddleware',
+    'django.contrib.sessions.middleware.SessionMiddleware',
+    'django.middleware.common.CommonMiddleware',
+    'django.middleware.csrf.CsrfViewMiddleware',
+    'django.contrib.auth.middleware.AuthenticationMiddleware',
+    'django.contrib.messages.middleware.MessageMiddleware',
+    'django.middleware.clickjacking.XFrameOptionsMiddleware',
+]
+
+ROOT_URLCONF = 'imageMaker.urls'
+
+TEMPLATES = [
+    {
+        'BACKEND': 'django.template.backends.django.DjangoTemplates',
+        'DIRS': [
+            BASE_DIR / 'templates',
+            BASE_DIR / 'images' / 'templates',
+        ],
+        'APP_DIRS': True,
+        'OPTIONS': {
+            'context_processors': [
+                'django.template.context_processors.debug',
+                'django.template.context_processors.request',
+                'django.contrib.auth.context_processors.auth',
+                'django.contrib.messages.context_processors.messages',
+            ],
+        },
+    },
+]
+
+WSGI_APPLICATION = 'imageMaker.wsgi.application'
+
+
+# Database
+# https://docs.djangoproject.com/en/5.1/ref/settings/#databases
+
+DATABASES = {
+    'default': {
+        'ENGINE': 'django.db.backends.mysql',
+        'NAME': 'imagemaker',
+        'USER': 'root',
+        'PASSWORD': 'root',
+        'HOST': 'localhost',
+        'PORT': '3306',
+        "OPTIONS": {"charset": "utf8mb4", "init_command": "SET NAMES 'utf8mb4', GLOBAL sql_mode=(SELECT REPLACE(@@sql_mode,'ONLY_FULL_GROUP_BY,',''));"},
+    }
+}
+
+
+# Password validation
+# https://docs.djangoproject.com/en/5.1/ref/settings/#auth-password-validators
+
+AUTH_PASSWORD_VALIDATORS = [
+    {
+        'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
+    },
+]
+
+
+# Internationalization
+# https://docs.djangoproject.com/en/5.1/topics/i18n/
+
+LANGUAGE_CODE = 'en-us'
+
+TIME_ZONE = 'UTC'
+
+USE_I18N = True
+
+USE_TZ = True
+
+
+# Static files (CSS, JavaScript, Images)
+# https://docs.djangoproject.com/en/5.1/howto/static-files/
+
+STATIC_URL = 'static/'
+
+# Default primary key field type
+# https://docs.djangoproject.com/en/5.1/ref/settings/#default-auto-field
+
+DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
+
+# Logging Configuration
+LOGGING = {
+    'version': 1,
+    'disable_existing_loggers': False,
+    'formatters': {
+        'verbose': {
+            'format': '{levelname} {asctime} {module} {process:d} {thread:d} {message}',
+            'style': '{',
+        },
+        'simple': {
+            'format': '{levelname} {message}',
+            'style': '{',
+        },
+    },
+    'handlers': {
+        'file': {
+            'level': 'INFO',
+            'class': 'logging.FileHandler',
+            'filename': os.path.join(BASE_DIR, 'logs', 'django.log'),
+            'formatter': 'verbose',
+        },
+        'console': {
+            'level': 'INFO',
+            'class': 'logging.StreamHandler',
+            'formatter': 'simple',
+        },
+    },
+    'loggers': {
+        'django': {
+            'handlers': ['file', 'console'],
+            'level': 'INFO',
+            'propagate': True,
+        },
+        'imageMaker.request_logging_middleware': {
+            'handlers': ['file', 'console'],
+            'level': 'INFO',
+            'propagate': False,
+        },
+    },
+}
+
+# Ensure the logs directory exists
+LOGS_DIR = os.path.join(BASE_DIR, 'logs') 
+os.makedirs(LOGS_DIR, exist_ok=True)
+
+# Add this to enable request logging
+LOCAL = True
+
+DATA_UPLOAD_MAX_MEMORY_SIZE = 104857600 # 100MB
+
+# Load custom settings
+CUSTOM_SETTINGS = load_settings()
+
+if CUSTOM_SETTINGS:
+    # Use the custom settings in your Django configuration
+    MEDIA_ROOT = CUSTOM_SETTINGS.image_download_base_folder
+    IDEOGRAM_API_KEY = CUSTOM_SETTINGS.ideogram_api_key
+    OPENAI_API_KEY = CUSTOM_SETTINGS.openai_api_key
+    ANTHROPIC_API_KEY = CUSTOM_SETTINGS.anthropic_api_key
+    BFL_API_KEY = CUSTOM_SETTINGS.bfl_api_key
+    
+    # You can add more custom settings as needed
+else:
+    # Fallback values if settings couldn't be loaded
+    MEDIA_ROOT = os.path.join(BASE_DIR, 'media')
+    IDEOGRAM_API_KEY = 'your_fallback_ideogram_api_key_here'
+    OPENAI_API_KEY = 'your_fallback_openai_api_key_here'
+    ANTHROPIC_API_KEY = 'your_fallback_anthropic_api_key_here'
+    BFL_API_KEY = 'your_fallback_bfl_api_key_here'
diff --git a/djangoManager/imageMaker/imageMaker/urls.py b/djangoManager/imageMaker/imageMaker/urls.py
index 134a8f1..2821f81 100644
--- a/djangoManager/imageMaker/imageMaker/urls.py
+++ b/djangoManager/imageMaker/imageMaker/urls.py
@@ -1,20 +1,20 @@
-from django.contrib import admin
-from django.urls import path
-from images import views
-from images import image_views, image_viewer
-from django.views.decorators.csrf import csrf_exempt
-
-urlpatterns = [
-    path('admin/', admin.site.urls),
-    path('', views.index, name='index'),
-    path('upload/', views.upload_json, name='upload_json'), 
-    
-    path('text-input/', views.text_input, name='text_input'),
-    path('images/', image_views.list_images, name='list_images'),
-    path('images/<int:image_id>/', image_views.image_details, name='image_details'),
-    path('prompt-search/', views.prompt_search, name='prompt-search'),
-    
-    path('view-image-dir/', image_viewer.view_image_dir, name='view_image_dir'),
-    path('get-image-list/', image_viewer.get_image_list, name='get_image_list'),
-    path('get-image/', image_viewer.get_image, name='get_image'),
-]
+from django.contrib import admin
+from django.urls import path
+from images import views
+from images import image_views, image_viewer
+from django.views.decorators.csrf import csrf_exempt
+
+urlpatterns = [
+    path('admin/', admin.site.urls),
+    path('', views.index, name='index'),
+    path('upload/', views.upload_json, name='upload_json'), 
+    
+    path('text-input/', views.text_input, name='text_input'),
+    path('images/', image_views.list_images, name='list_images'),
+    path('images/<int:image_id>/', image_views.image_details, name='image_details'),
+    path('prompt-search/', views.prompt_search, name='prompt-search'),
+    
+    path('view-image-dir/', image_viewer.view_image_dir, name='view_image_dir'),
+    path('get-image-list/', image_viewer.get_image_list, name='get_image_list'),
+    path('get-image/', image_viewer.get_image, name='get_image'),
+]
diff --git a/djangoManager/imageMaker/imageMaker/wsgi.py b/djangoManager/imageMaker/imageMaker/wsgi.py
index 31ff3c0..db9d6dc 100644
--- a/djangoManager/imageMaker/imageMaker/wsgi.py
+++ b/djangoManager/imageMaker/imageMaker/wsgi.py
@@ -1,16 +1,16 @@
-"""
-WSGI config for imageMaker project.
-
-It exposes the WSGI callable as a module-level variable named ``application``.
-
-For more information on this file, see
-https://docs.djangoproject.com/en/5.1/howto/deployment/wsgi/
-"""
-
-import os
-
-from django.core.wsgi import get_wsgi_application
-
-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'imageMaker.settings')
-
-application = get_wsgi_application()
+"""
+WSGI config for imageMaker project.
+
+It exposes the WSGI callable as a module-level variable named ``application``.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/5.1/howto/deployment/wsgi/
+"""
+
+import os
+
+from django.core.wsgi import get_wsgi_application
+
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'imageMaker.settings')
+
+application = get_wsgi_application()
diff --git a/djangoManager/imageMaker/images/admin.py b/djangoManager/imageMaker/images/admin.py
index 2b6c7b5..06cb6de 100644
--- a/djangoManager/imageMaker/images/admin.py
+++ b/djangoManager/imageMaker/images/admin.py
@@ -1,278 +1,278 @@
-from django.contrib import admin
-from django.utils.html import mark_safe
-from django.urls import path, reverse
-from django.http import HttpResponseRedirect
-from django.shortcuts import render, redirect
-from django.contrib.admin import helpers
-import os
-import requests
-from .models import (
-    Prompt, CreationType, Rewriter, PromptTag, Tag, ImageGeneration,
-    ImageSaveType, ImageSave, ImageProducerType, ImageProducerTraits,
-    ImageProducerVersion
-)
-
-# Register your models here.
-
-class BaseModelAdmin(admin.ModelAdmin):
-    def get_fields(self, request, obj=None):
-        fields = list(super().get_fields(request, obj))
-        for field in ['created', 'updated']:
-            if field in fields:
-                fields.remove(field)
-            
-            fields.append(field)
-        return fields
-
-    def get_list_display(self, request):
-        list_display = super().get_list_display(request)
-        if not isinstance(list_display, list):
-            list_display = list(list_display)
-        if 'created' not in list_display:
-            list_display.append('created')
-        if 'updated' not in list_display:
-            list_display.append('updated')
-        return list_display
-
-@admin.register(Prompt)
-class PromptAdmin(BaseModelAdmin):
-    list_display = ('id', 'Text', 'Creator', 'CreationType',)
-    list_filter = ('CreationType',)
-    search_fields = ('Text', 'Creator__username')  # Add this line
-    
-    actions = ['produce_generation']
-    
-    def get_creator(self, obj):
-        if obj.Creator:
-            url = reverse("admin:auth_user_change", args=[obj.Creator.id])
-            return mark_safe(f'<a href="{url}">{obj.Creator.username}</a>')
-        return "N/A"
-
-    get_creator.short_description = 'Creator'
-
-    def get_creation_type(self, obj):
-        return mark_safe(obj.CreationType.clink(text=obj.CreationType.Name) if obj.CreationType else "N/A")
-    get_creation_type.short_description = 'Creation Type'
-
-    def get_tags(self, obj):
-        return mark_safe(", ".join([pt.Tag.clink(text=pt.Tag.Name) for pt in obj.prompttags.all()]))
-    get_tags.short_description = 'Tags'
-
-    def get_image_generations(self, obj):
-        return mark_safe(", ".join([gen.clink(text=f"Gen {gen.id}") for gen in obj.image_generations.all()]))
-    get_image_generations.short_description = 'Image Generations'
- 
-    def produce_generation(self, request, queryset):
-        if 'apply' in request.POST:
-            # This is the form submission
-            if len(queryset) != 1:
-                self.message_user(request, "Please select only one prompt for generation.")
-                return
-
-            prompt = queryset[0]
-            producer_id = request.POST.get('image_producer')
-            details = request.POST.get('details')
-            
-            # Create the ImageGeneration object
-            image_producer = ImageProducerType.objects.get(id=producer_id)
-            image_generation = ImageGeneration.objects.create(
-                User=request.user,
-                Prompt=prompt,
-                ImageProducerVersion=image_producer.imageproducerversion_set.first(),
-                Details=details,
-                URI="placeholder_uri"  # Replace with actual generated image URI
-            )
-
-            self.message_user(request, f"Generation created for prompt: {prompt.Text[:50]}...")
-            return redirect('admin:images_imagegeneration_change', image_generation.id)
-        
-        else:
-            # This is the initial action call, display the form
-            if len(queryset) != 1:
-                self.message_user(request, "Please select only one prompt for generation.")
-                return
-
-            prompt = queryset[0]
-            image_producers = ImageProducerType.objects.all()
-
-            context = {
-                'title': f"Generate Image for Prompt: {prompt.Text[:50]}...",
-                'prompt': prompt,
-                'image_producers': image_producers,
-                'queryset': queryset,
-                'opts': self.model._meta,
-                'action_checkbox_name': helpers.ACTION_CHECKBOX_NAME,
-            }
-            return render(request, 'admin/prompt_generate.html', context)
-
-    produce_generation.short_description = "Produce generation for selected prompt"
-
-    def get_urls(self):
-        urls = super().get_urls()
-        custom_urls = [
-            path('<int:prompt_id>/generate/', self.admin_site.admin_view(self.generate_view), name='prompt-generate'),
-        ]
-        return custom_urls + urls
-
-    def generate_view(self, request, prompt_id):
-        prompt = Prompt.objects.get(id=prompt_id)
-        image_producers = ImageProducerType.objects.all()
-        import ipdb;ipdb.set_trace()
-        if request.method == 'POST':
-            
-            producer_id = request.POST.get('image_producer')
-            details = request.POST.get('details')
-            
-            # Here you would typically call your image generation service
-            # For now, we'll just create a placeholder ImageGeneration object
-            image_producer = ImageProducerType.objects.get(id=producer_id)
-            image_generation = ImageGeneration.objects.create(
-                User=request.user,
-                Prompt=prompt,
-                ImageProducerVersion=image_producer.imageproducerversion_set.first(),  # Assuming there's at least one version
-                Details=details,
-                URI="placeholder_uri"  # Replace with actual generated image URI
-            )
-
-            self.message_user(request, f"Generation created for prompt: {prompt.Text[:50]}...")
-            return redirect('admin:images_imagegeneration_change', image_generation.id)
-
-        context = {
-            'title': f"Generate Image for Prompt: {prompt.Text[:50]}...",
-            'prompt': prompt,
-            'image_producers': image_producers,
-            'opts': self.model._meta,
-        }
-        return render(request, 'admin/prompt_generate.html', context)
-
-@admin.register(CreationType)
-class CreationTypeAdmin(BaseModelAdmin):
-    list_display = ('Name',)
-
-@admin.register(Rewriter)
-class RewriterAdmin(BaseModelAdmin):
-    list_display = ('id', 'Name')
-
-@admin.register(PromptTag)
-class PromptTagAdmin(BaseModelAdmin):
-    list_display = ('id', 'get_prompt', 'get_tag')
-
-    def get_prompt(self, obj):
-        return mark_safe(obj.Prompt.clink(text=obj.Prompt.Text[:60] + '...'))
-    get_prompt.short_description = 'Prompt'
-
-    def get_tag(self, obj):
-        return mark_safe(obj.Tag.clink(text=obj.Tag.Name))
-    get_tag.short_description = 'Tag'
-
-@admin.register(Tag)
-class TagAdmin(BaseModelAdmin):
-    list_display = ('id', 'Name', 'Hidden', 'HideContainingPrompts', 'get_prompts')
-
-    def get_prompts(self, obj):
-        return mark_safe(", ".join([pt.Prompt.clink(text=pt.Prompt.Text[:20] + '...') for pt in obj.prompttags.all()]))
-    get_prompts.short_description = 'Prompts'
-
-@admin.register(ImageGeneration)
-class ImageGenerationAdmin(BaseModelAdmin):
-    list_display = ('id', 'get_user', 'get_prompt', 'get_image_producer_version', 'get_image_saves', 'display_image')
-    
-    def get_user(self, obj):
-        if obj.User:
-            url = reverse("admin:auth_user_change", args=[obj.User.id])
-            return mark_safe(f'<a href="{url}">{obj.User.username}</a>')
-        return "N/A"
-    get_user.short_description = 'User'
-
-    def get_prompt(self, obj):
-        return mark_safe(obj.Prompt.clink(text=obj.Prompt.Text[:20] + '...'))
-    get_prompt.short_description = 'Prompt'
-
-    def get_image_producer_version(self, obj):
-        return mark_safe(obj.ImageProducerVersion.clink(text=f"{obj.ImageProducerVersion.ImageProducerType.Name} {obj.ImageProducerVersion.Version}"))
-    get_image_producer_version.short_description = 'Image Producer Version'
-
-    def get_image_saves(self, obj):
-        return mark_safe(", ".join([save.clink(text=f"{save.ImageSaveType.Name} {save.id}") for save in obj.image_saves.all()]))
-    get_image_saves.short_description = 'Image Saves'
-
-    def display_image(self, obj):
-        if obj.URI:
-            return mark_safe(f'<img src="{obj.URI}" width="100" height="100" />')
-        return "No image"
-    display_image.short_description = 'Image'
-
-@admin.register(ImageSaveType)
-class ImageSaveTypeAdmin(BaseModelAdmin):
-    list_display = ('id', 'Name')
-
-@admin.register(ImageSave)
-class ImageSaveAdmin(BaseModelAdmin):
-    list_display = ('id', 'get_image_generation', 'get_image_save_type', 'FilePath', 'display_image')
-    list_filter = ('ImageSaveType',)
-    actions = ['download_image']
-
-    def get_image_generation(self, obj):
-        return mark_safe(obj.ImageGeneration.clink(text=f"Gen {obj.ImageGeneration.id}"))
-    get_image_generation.short_description = 'Image Generation'
-
-    def get_image_save_type(self, obj):
-        return mark_safe(obj.ImageSaveType.clink(text=obj.ImageSaveType.Name))
-    get_image_save_type.short_description = 'Image Save Type'
-
-    def display_image(self, obj):
-        if os.path.exists(obj.FilePath):
-            return mark_safe(f'<img src="/media/{obj.FilePath}" width="100" height="100" />')
-        return "Not downloaded"
-    display_image.short_description = 'Image'
-
-    def download_image(self, request, queryset):
-        for image_save in queryset:
-            if not os.path.exists(image_save.FilePath):
-                try:
-                    response = requests.get(image_save.ImageGeneration.URI)
-                    response.raise_for_status()
-                    os.makedirs(os.path.dirname(image_save.FilePath), exist_ok=True)
-                    with open(image_save.FilePath, 'wb') as f:
-                        f.write(response.content)
-                    self.message_user(request, f"Successfully downloaded image for ImageSave {image_save.id}")
-                except Exception as e:
-                    self.message_user(request, f"Failed to download image for ImageSave {image_save.id}: {str(e)}")
-            else:
-                self.message_user(request, f"Image for ImageSave {image_save.id} already exists")
-        return HttpResponseRedirect(request.get_full_path())
-    download_image.short_description = "Download selected images"
-
-@admin.register(ImageProducerType)
-class ImageProducerTypeAdmin(BaseModelAdmin):
-    list_display = ('id', 'Name', 'get_traits')
-
-    def get_traits(self, obj):
-        traits = obj.imageproducertraits_set.first()
-        if traits:
-            return mark_safe(traits.clink(text=f"Ext: {traits.SaveExtension}"))
-        return "No traits"
-    get_traits.short_description = 'Traits'
-
-@admin.register(ImageProducerTraits)
-class ImageProducerTraitsAdmin(BaseModelAdmin):
-    list_display = ('id', 'get_image_producer', 'SaveExtension')
-
-    def get_image_producer(self, obj):
-        return mark_safe(obj.ImageProducerType.clink(text=obj.ImageProducerType.Name))
-    get_image_producer.short_description = 'Image Producer'
-
-@admin.register(ImageProducerVersion)
-class ImageProducerVersionAdmin(BaseModelAdmin):
-    list_display = ('id', 'get_image_producer', 'Version')
-    list_filter = ('ImageProducerType',)
-
-    def get_image_producer(self, obj):
-        return mark_safe(obj.ImageProducerType.clink(text=obj.ImageProducerType.Name))
-    get_image_producer.short_description = 'Image Producer'
-
-# Register other models with their respective admin classes
-
-
-
-
+from django.contrib import admin
+from django.utils.html import mark_safe
+from django.urls import path, reverse
+from django.http import HttpResponseRedirect
+from django.shortcuts import render, redirect
+from django.contrib.admin import helpers
+import os
+import requests
+from .models import (
+    Prompt, CreationType, Rewriter, PromptTag, Tag, ImageGeneration,
+    ImageSaveType, ImageSave, ImageProducerType, ImageProducerTraits,
+    ImageProducerVersion
+)
+
+# Register your models here.
+
+class BaseModelAdmin(admin.ModelAdmin):
+    def get_fields(self, request, obj=None):
+        fields = list(super().get_fields(request, obj))
+        for field in ['created', 'updated']:
+            if field in fields:
+                fields.remove(field)
+            
+            fields.append(field)
+        return fields
+
+    def get_list_display(self, request):
+        list_display = super().get_list_display(request)
+        if not isinstance(list_display, list):
+            list_display = list(list_display)
+        if 'created' not in list_display:
+            list_display.append('created')
+        if 'updated' not in list_display:
+            list_display.append('updated')
+        return list_display
+
+@admin.register(Prompt)
+class PromptAdmin(BaseModelAdmin):
+    list_display = ('id', 'Text', 'Creator', 'CreationType',)
+    list_filter = ('CreationType',)
+    search_fields = ('Text', 'Creator__username')  # Add this line
+    
+    actions = ['produce_generation']
+    
+    def get_creator(self, obj):
+        if obj.Creator:
+            url = reverse("admin:auth_user_change", args=[obj.Creator.id])
+            return mark_safe(f'<a href="{url}">{obj.Creator.username}</a>')
+        return "N/A"
+
+    get_creator.short_description = 'Creator'
+
+    def get_creation_type(self, obj):
+        return mark_safe(obj.CreationType.clink(text=obj.CreationType.Name) if obj.CreationType else "N/A")
+    get_creation_type.short_description = 'Creation Type'
+
+    def get_tags(self, obj):
+        return mark_safe(", ".join([pt.Tag.clink(text=pt.Tag.Name) for pt in obj.prompttags.all()]))
+    get_tags.short_description = 'Tags'
+
+    def get_image_generations(self, obj):
+        return mark_safe(", ".join([gen.clink(text=f"Gen {gen.id}") for gen in obj.image_generations.all()]))
+    get_image_generations.short_description = 'Image Generations'
+ 
+    def produce_generation(self, request, queryset):
+        if 'apply' in request.POST:
+            # This is the form submission
+            if len(queryset) != 1:
+                self.message_user(request, "Please select only one prompt for generation.")
+                return
+
+            prompt = queryset[0]
+            producer_id = request.POST.get('image_producer')
+            details = request.POST.get('details')
+            
+            # Create the ImageGeneration object
+            image_producer = ImageProducerType.objects.get(id=producer_id)
+            image_generation = ImageGeneration.objects.create(
+                User=request.user,
+                Prompt=prompt,
+                ImageProducerVersion=image_producer.imageproducerversion_set.first(),
+                Details=details,
+                URI="placeholder_uri"  # Replace with actual generated image URI
+            )
+
+            self.message_user(request, f"Generation created for prompt: {prompt.Text[:50]}...")
+            return redirect('admin:images_imagegeneration_change', image_generation.id)
+        
+        else:
+            # This is the initial action call, display the form
+            if len(queryset) != 1:
+                self.message_user(request, "Please select only one prompt for generation.")
+                return
+
+            prompt = queryset[0]
+            image_producers = ImageProducerType.objects.all()
+
+            context = {
+                'title': f"Generate Image for Prompt: {prompt.Text[:50]}...",
+                'prompt': prompt,
+                'image_producers': image_producers,
+                'queryset': queryset,
+                'opts': self.model._meta,
+                'action_checkbox_name': helpers.ACTION_CHECKBOX_NAME,
+            }
+            return render(request, 'admin/prompt_generate.html', context)
+
+    produce_generation.short_description = "Produce generation for selected prompt"
+
+    def get_urls(self):
+        urls = super().get_urls()
+        custom_urls = [
+            path('<int:prompt_id>/generate/', self.admin_site.admin_view(self.generate_view), name='prompt-generate'),
+        ]
+        return custom_urls + urls
+
+    def generate_view(self, request, prompt_id):
+        prompt = Prompt.objects.get(id=prompt_id)
+        image_producers = ImageProducerType.objects.all()
+        import ipdb;ipdb.set_trace()
+        if request.method == 'POST':
+            
+            producer_id = request.POST.get('image_producer')
+            details = request.POST.get('details')
+            
+            # Here you would typically call your image generation service
+            # For now, we'll just create a placeholder ImageGeneration object
+            image_producer = ImageProducerType.objects.get(id=producer_id)
+            image_generation = ImageGeneration.objects.create(
+                User=request.user,
+                Prompt=prompt,
+                ImageProducerVersion=image_producer.imageproducerversion_set.first(),  # Assuming there's at least one version
+                Details=details,
+                URI="placeholder_uri"  # Replace with actual generated image URI
+            )
+
+            self.message_user(request, f"Generation created for prompt: {prompt.Text[:50]}...")
+            return redirect('admin:images_imagegeneration_change', image_generation.id)
+
+        context = {
+            'title': f"Generate Image for Prompt: {prompt.Text[:50]}...",
+            'prompt': prompt,
+            'image_producers': image_producers,
+            'opts': self.model._meta,
+        }
+        return render(request, 'admin/prompt_generate.html', context)
+
+@admin.register(CreationType)
+class CreationTypeAdmin(BaseModelAdmin):
+    list_display = ('Name',)
+
+@admin.register(Rewriter)
+class RewriterAdmin(BaseModelAdmin):
+    list_display = ('id', 'Name')
+
+@admin.register(PromptTag)
+class PromptTagAdmin(BaseModelAdmin):
+    list_display = ('id', 'get_prompt', 'get_tag')
+
+    def get_prompt(self, obj):
+        return mark_safe(obj.Prompt.clink(text=obj.Prompt.Text[:60] + '...'))
+    get_prompt.short_description = 'Prompt'
+
+    def get_tag(self, obj):
+        return mark_safe(obj.Tag.clink(text=obj.Tag.Name))
+    get_tag.short_description = 'Tag'
+
+@admin.register(Tag)
+class TagAdmin(BaseModelAdmin):
+    list_display = ('id', 'Name', 'Hidden', 'HideContainingPrompts', 'get_prompts')
+
+    def get_prompts(self, obj):
+        return mark_safe(", ".join([pt.Prompt.clink(text=pt.Prompt.Text[:20] + '...') for pt in obj.prompttags.all()]))
+    get_prompts.short_description = 'Prompts'
+
+@admin.register(ImageGeneration)
+class ImageGenerationAdmin(BaseModelAdmin):
+    list_display = ('id', 'get_user', 'get_prompt', 'get_image_producer_version', 'get_image_saves', 'display_image')
+    
+    def get_user(self, obj):
+        if obj.User:
+            url = reverse("admin:auth_user_change", args=[obj.User.id])
+            return mark_safe(f'<a href="{url}">{obj.User.username}</a>')
+        return "N/A"
+    get_user.short_description = 'User'
+
+    def get_prompt(self, obj):
+        return mark_safe(obj.Prompt.clink(text=obj.Prompt.Text[:20] + '...'))
+    get_prompt.short_description = 'Prompt'
+
+    def get_image_producer_version(self, obj):
+        return mark_safe(obj.ImageProducerVersion.clink(text=f"{obj.ImageProducerVersion.ImageProducerType.Name} {obj.ImageProducerVersion.Version}"))
+    get_image_producer_version.short_description = 'Image Producer Version'
+
+    def get_image_saves(self, obj):
+        return mark_safe(", ".join([save.clink(text=f"{save.ImageSaveType.Name} {save.id}") for save in obj.image_saves.all()]))
+    get_image_saves.short_description = 'Image Saves'
+
+    def display_image(self, obj):
+        if obj.URI:
+            return mark_safe(f'<img src="{obj.URI}" width="100" height="100" />')
+        return "No image"
+    display_image.short_description = 'Image'
+
+@admin.register(ImageSaveType)
+class ImageSaveTypeAdmin(BaseModelAdmin):
+    list_display = ('id', 'Name')
+
+@admin.register(ImageSave)
+class ImageSaveAdmin(BaseModelAdmin):
+    list_display = ('id', 'get_image_generation', 'get_image_save_type', 'FilePath', 'display_image')
+    list_filter = ('ImageSaveType',)
+    actions = ['download_image']
+
+    def get_image_generation(self, obj):
+        return mark_safe(obj.ImageGeneration.clink(text=f"Gen {obj.ImageGeneration.id}"))
+    get_image_generation.short_description = 'Image Generation'
+
+    def get_image_save_type(self, obj):
+        return mark_safe(obj.ImageSaveType.clink(text=obj.ImageSaveType.Name))
+    get_image_save_type.short_description = 'Image Save Type'
+
+    def display_image(self, obj):
+        if os.path.exists(obj.FilePath):
+            return mark_safe(f'<img src="/media/{obj.FilePath}" width="100" height="100" />')
+        return "Not downloaded"
+    display_image.short_description = 'Image'
+
+    def download_image(self, request, queryset):
+        for image_save in queryset:
+            if not os.path.exists(image_save.FilePath):
+                try:
+                    response = requests.get(image_save.ImageGeneration.URI)
+                    response.raise_for_status()
+                    os.makedirs(os.path.dirname(image_save.FilePath), exist_ok=True)
+                    with open(image_save.FilePath, 'wb') as f:
+                        f.write(response.content)
+                    self.message_user(request, f"Successfully downloaded image for ImageSave {image_save.id}")
+                except Exception as e:
+                    self.message_user(request, f"Failed to download image for ImageSave {image_save.id}: {str(e)}")
+            else:
+                self.message_user(request, f"Image for ImageSave {image_save.id} already exists")
+        return HttpResponseRedirect(request.get_full_path())
+    download_image.short_description = "Download selected images"
+
+@admin.register(ImageProducerType)
+class ImageProducerTypeAdmin(BaseModelAdmin):
+    list_display = ('id', 'Name', 'get_traits')
+
+    def get_traits(self, obj):
+        traits = obj.imageproducertraits_set.first()
+        if traits:
+            return mark_safe(traits.clink(text=f"Ext: {traits.SaveExtension}"))
+        return "No traits"
+    get_traits.short_description = 'Traits'
+
+@admin.register(ImageProducerTraits)
+class ImageProducerTraitsAdmin(BaseModelAdmin):
+    list_display = ('id', 'get_image_producer', 'SaveExtension')
+
+    def get_image_producer(self, obj):
+        return mark_safe(obj.ImageProducerType.clink(text=obj.ImageProducerType.Name))
+    get_image_producer.short_description = 'Image Producer'
+
+@admin.register(ImageProducerVersion)
+class ImageProducerVersionAdmin(BaseModelAdmin):
+    list_display = ('id', 'get_image_producer', 'Version')
+    list_filter = ('ImageProducerType',)
+
+    def get_image_producer(self, obj):
+        return mark_safe(obj.ImageProducerType.clink(text=obj.ImageProducerType.Name))
+    get_image_producer.short_description = 'Image Producer'
+
+# Register other models with their respective admin classes
+
+
+
+
diff --git a/djangoManager/imageMaker/images/apps.py b/djangoManager/imageMaker/images/apps.py
index 2921a20..eb9cfad 100644
--- a/djangoManager/imageMaker/images/apps.py
+++ b/djangoManager/imageMaker/images/apps.py
@@ -1,6 +1,6 @@
-from django.apps import AppConfig
-
-
-class ImagesConfig(AppConfig):
-    default_auto_field = 'django.db.models.BigAutoField'
-    name = 'images'
+from django.apps import AppConfig
+
+
+class ImagesConfig(AppConfig):
+    default_auto_field = 'django.db.models.BigAutoField'
+    name = 'images'
diff --git a/djangoManager/imageMaker/images/cmdlineIdeogramClient.py b/djangoManager/imageMaker/images/cmdlineIdeogramClient.py
index c850812..d20c099 100644
--- a/djangoManager/imageMaker/images/cmdlineIdeogramClient.py
+++ b/djangoManager/imageMaker/images/cmdlineIdeogramClient.py
@@ -1,76 +1,76 @@
-import subprocess
-import argparse
-import json
-import os
-import time
-
-def generate_image(prompt, api_key, output_dir, num_images=1, width=1024, height=1024, timeout=300):
-    command = [
-        "IdeogramClient.exe",
-        "--api-key", api_key,
-        "--prompt", prompt,
-        "--num-images", str(num_images),
-        "--width", str(width),
-        "--height", str(height),
-        "--output-dir", output_dir
-    ]
-
-    try:
-        # Start the process
-        process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
-        
-        start_time = time.time()
-        while True:
-            # Check if the process has finished
-            return_code = process.poll()
-            if return_code is not None:
-                break
-            
-            # Check if we've exceeded the timeout
-            if time.time() - start_time > timeout:
-                process.kill()
-                raise subprocess.TimeoutExpired(command, timeout)
-            
-            # Wait a bit before checking again
-            time.sleep(1)
-        
-        stdout, stderr = process.communicate()
-        
-        if return_code != 0:
-            raise subprocess.CalledProcessError(return_code, command, stdout, stderr)
-        
-        # Parse the JSON output
-        output = json.loads(stdout)
-        
-        print(f"Generated {len(output['images'])} image(s):")
-        for i, image_path in enumerate(output['images'], 1):
-            print(f"  {i}. {image_path}")
-        
-    except subprocess.TimeoutExpired:
-        print(f"Error: Process timed out after {timeout} seconds")
-    except subprocess.CalledProcessError as e:
-        print(f"Error: {e}")
-        print(f"Error output: {e.stderr}")
-    except json.JSONDecodeError:
-        print(f"Error: Unable to parse JSON output from IdeogramClient.exe")
-        print(f"Raw output: {stdout}")
-
-def main():
-    parser = argparse.ArgumentParser(description="Generate images using Ideogram API")
-    parser.add_argument("prompt", help="Text prompt for image generation")
-    parser.add_argument("--api-key", required=True, help="Ideogram API key")
-    parser.add_argument("--output-dir", default="./output", help="Directory to save generated images")
-    parser.add_argument("--num-images", type=int, default=1, help="Number of images to generate")
-    parser.add_argument("--width", type=int, default=1024, help="Image width")
-    parser.add_argument("--height", type=int, default=1024, help="Image height")
-    parser.add_argument("--timeout", type=int, default=300, help="Timeout in seconds")
-
-    args = parser.parse_args()
-
-    # Ensure output directory exists
-    os.makedirs(args.output_dir, exist_ok=True)
-
-    generate_image(args.prompt, args.api_key, args.output_dir, args.num_images, args.width, args.height, args.timeout)
-
-if __name__ == "__main__":
-    main()
+import subprocess
+import argparse
+import json
+import os
+import time
+
+def generate_image(prompt, api_key, output_dir, num_images=1, width=1024, height=1024, timeout=300):
+    command = [
+        "IdeogramClient.exe",
+        "--api-key", api_key,
+        "--prompt", prompt,
+        "--num-images", str(num_images),
+        "--width", str(width),
+        "--height", str(height),
+        "--output-dir", output_dir
+    ]
+
+    try:
+        # Start the process
+        process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+        
+        start_time = time.time()
+        while True:
+            # Check if the process has finished
+            return_code = process.poll()
+            if return_code is not None:
+                break
+            
+            # Check if we've exceeded the timeout
+            if time.time() - start_time > timeout:
+                process.kill()
+                raise subprocess.TimeoutExpired(command, timeout)
+            
+            # Wait a bit before checking again
+            time.sleep(1)
+        
+        stdout, stderr = process.communicate()
+        
+        if return_code != 0:
+            raise subprocess.CalledProcessError(return_code, command, stdout, stderr)
+        
+        # Parse the JSON output
+        output = json.loads(stdout)
+        
+        print(f"Generated {len(output['images'])} image(s):")
+        for i, image_path in enumerate(output['images'], 1):
+            print(f"  {i}. {image_path}")
+        
+    except subprocess.TimeoutExpired:
+        print(f"Error: Process timed out after {timeout} seconds")
+    except subprocess.CalledProcessError as e:
+        print(f"Error: {e}")
+        print(f"Error output: {e.stderr}")
+    except json.JSONDecodeError:
+        print(f"Error: Unable to parse JSON output from IdeogramClient.exe")
+        print(f"Raw output: {stdout}")
+
+def main():
+    parser = argparse.ArgumentParser(description="Generate images using Ideogram API")
+    parser.add_argument("prompt", help="Text prompt for image generation")
+    parser.add_argument("--api-key", required=True, help="Ideogram API key")
+    parser.add_argument("--output-dir", default="./output", help="Directory to save generated images")
+    parser.add_argument("--num-images", type=int, default=1, help="Number of images to generate")
+    parser.add_argument("--width", type=int, default=1024, help="Image width")
+    parser.add_argument("--height", type=int, default=1024, help="Image height")
+    parser.add_argument("--timeout", type=int, default=300, help="Timeout in seconds")
+
+    args = parser.parse_args()
+
+    # Ensure output directory exists
+    os.makedirs(args.output_dir, exist_ok=True)
+
+    generate_image(args.prompt, args.api_key, args.output_dir, args.num_images, args.width, args.height, args.timeout)
+
+if __name__ == "__main__":
+    main()
diff --git a/djangoManager/imageMaker/images/forms.py b/djangoManager/imageMaker/images/forms.py
index de2c6aa..cb822e7 100644
--- a/djangoManager/imageMaker/images/forms.py
+++ b/djangoManager/imageMaker/images/forms.py
@@ -1,35 +1,35 @@
-from django import forms
-from .models import Prompt, ImageProducerType
-
-class ImageGenerationForm(forms.Form):
-    prompt = forms.CharField(widget=forms.Textarea)
-    existing_prompt = forms.ModelChoiceField(
-        queryset=Prompt.objects.none(),  # Start with an empty queryset
-        required=False,
-        empty_label="Choose an existing prompt (optional)"
-    )
-    generator = forms.ChoiceField(choices=ImageProducerType.ImageProducerTypeChoices.choices)
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-        self.fields['existing_prompt'].widget.attrs.update({
-            'class': 'select2',
-            'data-ajax--url': '/prompt-search/',  # Update this URL as needed
-            'data-ajax--cache': 'true',
-            'data-ajax--delay': '25',
-            'data-ajax--data-type': 'json',
-            'data-minimum-input-length': '2',
-        })
-
-    def clean(self):
-        cleaned_data = super().clean()
-        prompt = cleaned_data.get('prompt')
-        existing_prompt = cleaned_data.get('existing_prompt')
-
-        if not prompt and not existing_prompt:
-            raise forms.ValidationError("Please enter a prompt or choose an existing one.")
-        
-        if existing_prompt:
-            cleaned_data['prompt'] = existing_prompt.Text
-
-        return cleaned_data
+from django import forms
+from .models import Prompt, ImageProducerType
+
+class ImageGenerationForm(forms.Form):
+    prompt = forms.CharField(widget=forms.Textarea)
+    existing_prompt = forms.ModelChoiceField(
+        queryset=Prompt.objects.none(),  # Start with an empty queryset
+        required=False,
+        empty_label="Choose an existing prompt (optional)"
+    )
+    generator = forms.ChoiceField(choices=ImageProducerType.ImageProducerTypeChoices.choices)
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.fields['existing_prompt'].widget.attrs.update({
+            'class': 'select2',
+            'data-ajax--url': '/prompt-search/',  # Update this URL as needed
+            'data-ajax--cache': 'true',
+            'data-ajax--delay': '25',
+            'data-ajax--data-type': 'json',
+            'data-minimum-input-length': '2',
+        })
+
+    def clean(self):
+        cleaned_data = super().clean()
+        prompt = cleaned_data.get('prompt')
+        existing_prompt = cleaned_data.get('existing_prompt')
+
+        if not prompt and not existing_prompt:
+            raise forms.ValidationError("Please enter a prompt or choose an existing one.")
+        
+        if existing_prompt:
+            cleaned_data['prompt'] = existing_prompt.Text
+
+        return cleaned_data
diff --git a/djangoManager/imageMaker/images/image_viewer.py b/djangoManager/imageMaker/images/image_viewer.py
index 86f1b68..a65b963 100644
--- a/djangoManager/imageMaker/images/image_viewer.py
+++ b/djangoManager/imageMaker/images/image_viewer.py
@@ -1,42 +1,42 @@
-import os
-from django.conf import settings
-from django.shortcuts import render
-from django.http import JsonResponse, HttpResponse
-
-
-from django.shortcuts import render, redirect
-from django.contrib import messages
-from django.core.files.storage import default_storage
-from django.core.files.base import ContentFile
-import json
-from .models import *
-from typing import Any, List
-
-from django.db.models import Q
-from .models import Prompt
-
-
-def view_image_dir(request: Any) -> Any:
-    image_dir="/mnt/d/proj/multiImageClient/MultiImageClient/saves/2024-10-15-Tuesday"
-    return render(request, 'view_image_dir.html', {'image_dir': image_dir})
-
-def get_image_list(request: Any) -> JsonResponse:
-    image_dir = request.GET.get('dir')
-    if not image_dir or not os.path.exists(image_dir):
-        return JsonResponse({'error': 'Invalid directory'}, status=400)
-    
-    images = [f for f in os.listdir(image_dir) if f.lower().endswith(('.png', '.jpg', '.jpeg', '.gif'))]
-    return JsonResponse({'images': images})
-
-def get_image(request: Any) -> HttpResponse:
-    image_dir = request.GET.get('dir')
-    image_name = request.GET.get('name')
-    if not image_dir or not image_name:
-        return HttpResponse('Invalid request', status=400)
-    
-    image_path = os.path.join(image_dir, image_name)
-    if not os.path.exists(image_path):
-        return HttpResponse('Image not found', status=404)
-    
-    with open(image_path, 'rb') as img_file:
+import os
+from django.conf import settings
+from django.shortcuts import render
+from django.http import JsonResponse, HttpResponse
+
+
+from django.shortcuts import render, redirect
+from django.contrib import messages
+from django.core.files.storage import default_storage
+from django.core.files.base import ContentFile
+import json
+from .models import *
+from typing import Any, List
+
+from django.db.models import Q
+from .models import Prompt
+
+
+def view_image_dir(request: Any) -> Any:
+    image_dir="/mnt/d/proj/multiImageClient/MultiImageClient/saves/2024-10-15-Tuesday"
+    return render(request, 'view_image_dir.html', {'image_dir': image_dir})
+
+def get_image_list(request: Any) -> JsonResponse:
+    image_dir = request.GET.get('dir')
+    if not image_dir or not os.path.exists(image_dir):
+        return JsonResponse({'error': 'Invalid directory'}, status=400)
+    
+    images = [f for f in os.listdir(image_dir) if f.lower().endswith(('.png', '.jpg', '.jpeg', '.gif'))]
+    return JsonResponse({'images': images})
+
+def get_image(request: Any) -> HttpResponse:
+    image_dir = request.GET.get('dir')
+    image_name = request.GET.get('name')
+    if not image_dir or not image_name:
+        return HttpResponse('Invalid request', status=400)
+    
+    image_path = os.path.join(image_dir, image_name)
+    if not os.path.exists(image_path):
+        return HttpResponse('Image not found', status=404)
+    
+    with open(image_path, 'rb') as img_file:
         return HttpResponse(img_file.read(), content_type='image/png')  # Adjust content_type if needed
\ No newline at end of file
diff --git a/djangoManager/imageMaker/images/image_views.py b/djangoManager/imageMaker/images/image_views.py
index 1496d0a..7d8865a 100644
--- a/djangoManager/imageMaker/images/image_views.py
+++ b/djangoManager/imageMaker/images/image_views.py
@@ -1,195 +1,195 @@
-from django.shortcuts import render, redirect, get_object_or_404
-from django.contrib import messages
-from django.http import HttpRequest, HttpResponse, JsonResponse
-from typing import Any
-from .models import Prompt, ImageGeneration, ImageProducerType, ImageProducerVersion, ImageSave, ImageSaveType
-from .forms import ImageGenerationForm
-from ideogram.ideogramClient import IdeogramService
-from django.conf import settings
-import os
-import aiohttp
-import asyncio
-from asgiref.sync import sync_to_async, async_to_sync
-import requests
-import json
-import time
-from django.views.decorators.http import require_http_methods
-from django.views.decorators.csrf import csrf_protect
-from django.utils.decorators import method_decorator
-from django.core.cache import cache
-
-@sync_to_async
-def create_or_get_prompt(text, user):
-    return Prompt.objects.get_or_create(Text=text, Creator=user)
-
-@sync_to_async
-def get_producer_version(generator):
-    return get_object_or_404(ImageProducerVersion, ImageProducerType__Name=generator)
-
-@sync_to_async
-def create_image_generation(user, prompt, producer_version, details, uri, result):
-    return ImageGeneration.objects.create(
-        User=user,
-        Prompt=prompt,
-        ImageProducerVersion=producer_version,
-        Details=details,
-        URI=uri,
-        Result=result
-    )
-
-@sync_to_async
-def create_image_save(image_generation, image_save_type, file_path):
-    return ImageSave.objects.create(
-        ImageGeneration=image_generation,
-        ImageSaveType=image_save_type,
-        FilePath=file_path
-    )
-
-@csrf_protect
-@require_http_methods(["POST"])
-async def generate_image_async(request: HttpRequest) -> JsonResponse:
-    import ipdb; ipdb.set_trace()
-    try:
-        data = json.loads(request.body)
-        form = ImageGenerationForm(data)
-        if form.is_valid():
-            prompt = form.cleaned_data['prompt']
-            generator = form.cleaned_data['generator']
-
-            # Get user ID asynchronously
-            user_id = await sync_to_async(lambda: request.user.id)()
-
-            # Create a task ID
-            task_id = f"{user_id}_{int(time.time())}"
-
-            # Start the image generation process asynchronously
-            asyncio.create_task(process_image_generation(user_id, prompt, generator, task_id))
-
-            return JsonResponse({"status": "processing", "task_id": task_id})
-        else:
-            return JsonResponse({"status": "error", "errors": form.errors}, status=400)
-    except json.JSONDecodeError:
-        return JsonResponse({"status": "error", "message": "Invalid JSON"}, status=400)
-    except Exception as e:
-        return JsonResponse({"status": "error", "message": str(e)}, status=500)
-
-async def process_image_generation(user_id, prompt, generator, task_id):
-    # Implementation of the image generation process
-    # You'll need to use sync_to_async for database operations here as well
-    user = await sync_to_async(lambda: User.objects.get(id=user_id))()
-    prompt_obj, _ = await create_or_get_prompt(prompt, user)
-    producer_version = await get_producer_version(generator)
-
-    ideogram_service = IdeogramService(settings.IDEOGRAM_API_KEY, max_concurrency=1)
-    prompt_details = {"prompt": prompt, "ideogram_details": {}}
-
-    result = await ideogram_service.process_prompt_async(prompt_details, {"ideogram_request_count": 0})
-
-    if result["is_success"]:
-        image_generation = await create_image_generation(
-            user,
-            prompt_obj,
-            producer_version,
-            result.get("prompt_details", {}),
-            result["url"],
-            result
-        )
-
-        image_path = await download_and_save_image(result["url"], image_generation.id)
-
-        await create_image_save(
-            image_generation,
-            await sync_to_async(ImageSaveType.objects.get)(Name=ImageSaveType.ImageSaveTypeChoices.RAW),
-            image_path
-        )
-
-        # Store the result somewhere (e.g., cache or database) associated with the task_id
-        # For simplicity, let's assume we have a function to do this
-        await store_task_result(task_id, {"status": "success", "image_id": image_generation.id})
-    else:
-        await store_task_result(task_id, {"status": "error", "message": result.get("error_message", "Unknown error")})
-
-@require_http_methods(["GET"])
-def check_image_status(request: HttpRequest) -> JsonResponse:
-    task_id = request.GET.get('task_id')
-    if not task_id:
-        return JsonResponse({"status": "error", "message": "No task ID provided"}, status=400)
-
-    # Retrieve the task result (implement this function based on your storage method)
-    result = get_task_result(task_id)
- 
-    if result is None:
-        return JsonResponse({"status": "processing"})
-    else:
-        return JsonResponse(result)
-
-def list_images(request: HttpRequest) -> HttpResponse:
-    images = ImageGeneration.objects.all().order_by('-created')
-    return render(request, 'list_images.html', {'images': images})
-
-def image_details(request: HttpRequest, image_id: int) -> HttpResponse:
-    image = get_object_or_404(ImageGeneration, id=image_id)
-    return render(request, 'image_details.html', {'image': image})
-
-def generate_image(request: HttpRequest) -> HttpResponse:
-    if request.method == 'POST': 
-        import ipdb; ipdb.set_trace()
-        form = ImageGenerationForm(request.POST)
-        if form.is_valid():
-            prompt = form.cleaned_data['prompt']
-            generator = form.cleaned_data['generator']
-
-            prompt_obj, _ = Prompt.objects.get_or_create(Text=prompt, Creator=request.user)
-            producer_version = ImageProducerVersion.objects.filter(ImageProducerType__Name=generator).first()
-
-            ideogram_service = IdeogramService(settings.IDEOGRAM_API_KEY, max_concurrency=1)
-            prompt_details = {"prompt": prompt, "ideogram_details": {}}
-
-            result = ideogram_service.process_prompt(prompt_details, {"ideogram_request_count": 0})
-
-            if result["is_success"]:
-                image_generation = ImageGeneration.objects.create(
-                    User=request.user,
-                    Prompt=prompt_obj,
-                    ImageProducerVersion=producer_version,
-                    Details=result.get("prompt_details", {}),
-                    URI=result["url"],
-                    Result=result
-                )
-
-                image_path = download_and_save_image(result["url"], image_generation.id)
-
-                ImageSave.objects.create(
-                    ImageGeneration=image_generation,
-                    ImageSaveType=ImageSaveType.objects.get(Name=ImageSaveType.ImageSaveTypeChoices.RAW),
-                    FilePath=image_path
-                )
-
-                messages.success(request, 'Image generated successfully.')
-                return redirect('image_details', image_id=image_generation.id)
-            else:
-                messages.error(request, f'Image generation failed: {result.get("error_message", "Unknown error")}')
-        else:
-            messages.error(request, 'Invalid form submission.')
-    else:
-        form = ImageGenerationForm()
-
-    return render(request, 'generate_image.html', {'form': form})
-
-def download_and_save_image(url: str, image_id: int) -> str:
-    response = requests.get(url)
-    if response.status_code == 200:
-        file_name = f"generated_image_{image_id}.png"
-        file_path = os.path.join(settings.MEDIA_ROOT, 'generated_images', file_name)
-        os.makedirs(os.path.dirname(file_path), exist_ok=True)
-        with open(file_path, 'wb') as f:
-            f.write(response.content)
-        return file_path
-    else:
-        raise Exception(f"Failed to download image: HTTP {response.status_code}")
-
-def store_task_result(task_id: str, result: dict) -> None:
-    cache.set(f"task_result_{task_id}", result, timeout=3600)  # Stores the result for 1 hour
-
-def get_task_result(task_id: str) -> dict:
-    return cache.get(f"task_result_{task_id}")
+from django.shortcuts import render, redirect, get_object_or_404
+from django.contrib import messages
+from django.http import HttpRequest, HttpResponse, JsonResponse
+from typing import Any
+from .models import Prompt, ImageGeneration, ImageProducerType, ImageProducerVersion, ImageSave, ImageSaveType
+from .forms import ImageGenerationForm
+from ideogram.ideogramClient import IdeogramService
+from django.conf import settings
+import os
+import aiohttp
+import asyncio
+from asgiref.sync import sync_to_async, async_to_sync
+import requests
+import json
+import time
+from django.views.decorators.http import require_http_methods
+from django.views.decorators.csrf import csrf_protect
+from django.utils.decorators import method_decorator
+from django.core.cache import cache
+
+@sync_to_async
+def create_or_get_prompt(text, user):
+    return Prompt.objects.get_or_create(Text=text, Creator=user)
+
+@sync_to_async
+def get_producer_version(generator):
+    return get_object_or_404(ImageProducerVersion, ImageProducerType__Name=generator)
+
+@sync_to_async
+def create_image_generation(user, prompt, producer_version, details, uri, result):
+    return ImageGeneration.objects.create(
+        User=user,
+        Prompt=prompt,
+        ImageProducerVersion=producer_version,
+        Details=details,
+        URI=uri,
+        Result=result
+    )
+
+@sync_to_async
+def create_image_save(image_generation, image_save_type, file_path):
+    return ImageSave.objects.create(
+        ImageGeneration=image_generation,
+        ImageSaveType=image_save_type,
+        FilePath=file_path
+    )
+
+@csrf_protect
+@require_http_methods(["POST"])
+async def generate_image_async(request: HttpRequest) -> JsonResponse:
+    import ipdb; ipdb.set_trace()
+    try:
+        data = json.loads(request.body)
+        form = ImageGenerationForm(data)
+        if form.is_valid():
+            prompt = form.cleaned_data['prompt']
+            generator = form.cleaned_data['generator']
+
+            # Get user ID asynchronously
+            user_id = await sync_to_async(lambda: request.user.id)()
+
+            # Create a task ID
+            task_id = f"{user_id}_{int(time.time())}"
+
+            # Start the image generation process asynchronously
+            asyncio.create_task(process_image_generation(user_id, prompt, generator, task_id))
+
+            return JsonResponse({"status": "processing", "task_id": task_id})
+        else:
+            return JsonResponse({"status": "error", "errors": form.errors}, status=400)
+    except json.JSONDecodeError:
+        return JsonResponse({"status": "error", "message": "Invalid JSON"}, status=400)
+    except Exception as e:
+        return JsonResponse({"status": "error", "message": str(e)}, status=500)
+
+async def process_image_generation(user_id, prompt, generator, task_id):
+    # Implementation of the image generation process
+    # You'll need to use sync_to_async for database operations here as well
+    user = await sync_to_async(lambda: User.objects.get(id=user_id))()
+    prompt_obj, _ = await create_or_get_prompt(prompt, user)
+    producer_version = await get_producer_version(generator)
+
+    ideogram_service = IdeogramService(settings.IDEOGRAM_API_KEY, max_concurrency=1)
+    prompt_details = {"prompt": prompt, "ideogram_details": {}}
+
+    result = await ideogram_service.process_prompt_async(prompt_details, {"ideogram_request_count": 0})
+
+    if result["is_success"]:
+        image_generation = await create_image_generation(
+            user,
+            prompt_obj,
+            producer_version,
+            result.get("prompt_details", {}),
+            result["url"],
+            result
+        )
+
+        image_path = await download_and_save_image(result["url"], image_generation.id)
+
+        await create_image_save(
+            image_generation,
+            await sync_to_async(ImageSaveType.objects.get)(Name=ImageSaveType.ImageSaveTypeChoices.RAW),
+            image_path
+        )
+
+        # Store the result somewhere (e.g., cache or database) associated with the task_id
+        # For simplicity, let's assume we have a function to do this
+        await store_task_result(task_id, {"status": "success", "image_id": image_generation.id})
+    else:
+        await store_task_result(task_id, {"status": "error", "message": result.get("error_message", "Unknown error")})
+
+@require_http_methods(["GET"])
+def check_image_status(request: HttpRequest) -> JsonResponse:
+    task_id = request.GET.get('task_id')
+    if not task_id:
+        return JsonResponse({"status": "error", "message": "No task ID provided"}, status=400)
+
+    # Retrieve the task result (implement this function based on your storage method)
+    result = get_task_result(task_id)
+ 
+    if result is None:
+        return JsonResponse({"status": "processing"})
+    else:
+        return JsonResponse(result)
+
+def list_images(request: HttpRequest) -> HttpResponse:
+    images = ImageGeneration.objects.all().order_by('-created')
+    return render(request, 'list_images.html', {'images': images})
+
+def image_details(request: HttpRequest, image_id: int) -> HttpResponse:
+    image = get_object_or_404(ImageGeneration, id=image_id)
+    return render(request, 'image_details.html', {'image': image})
+
+def generate_image(request: HttpRequest) -> HttpResponse:
+    if request.method == 'POST': 
+        import ipdb; ipdb.set_trace()
+        form = ImageGenerationForm(request.POST)
+        if form.is_valid():
+            prompt = form.cleaned_data['prompt']
+            generator = form.cleaned_data['generator']
+
+            prompt_obj, _ = Prompt.objects.get_or_create(Text=prompt, Creator=request.user)
+            producer_version = ImageProducerVersion.objects.filter(ImageProducerType__Name=generator).first()
+
+            ideogram_service = IdeogramService(settings.IDEOGRAM_API_KEY, max_concurrency=1)
+            prompt_details = {"prompt": prompt, "ideogram_details": {}}
+
+            result = ideogram_service.process_prompt(prompt_details, {"ideogram_request_count": 0})
+
+            if result["is_success"]:
+                image_generation = ImageGeneration.objects.create(
+                    User=request.user,
+                    Prompt=prompt_obj,
+                    ImageProducerVersion=producer_version,
+                    Details=result.get("prompt_details", {}),
+                    URI=result["url"],
+                    Result=result
+                )
+
+                image_path = download_and_save_image(result["url"], image_generation.id)
+
+                ImageSave.objects.create(
+                    ImageGeneration=image_generation,
+                    ImageSaveType=ImageSaveType.objects.get(Name=ImageSaveType.ImageSaveTypeChoices.RAW),
+                    FilePath=image_path
+                )
+
+                messages.success(request, 'Image generated successfully.')
+                return redirect('image_details', image_id=image_generation.id)
+            else:
+                messages.error(request, f'Image generation failed: {result.get("error_message", "Unknown error")}')
+        else:
+            messages.error(request, 'Invalid form submission.')
+    else:
+        form = ImageGenerationForm()
+
+    return render(request, 'generate_image.html', {'form': form})
+
+def download_and_save_image(url: str, image_id: int) -> str:
+    response = requests.get(url)
+    if response.status_code == 200:
+        file_name = f"generated_image_{image_id}.png"
+        file_path = os.path.join(settings.MEDIA_ROOT, 'generated_images', file_name)
+        os.makedirs(os.path.dirname(file_path), exist_ok=True)
+        with open(file_path, 'wb') as f:
+            f.write(response.content)
+        return file_path
+    else:
+        raise Exception(f"Failed to download image: HTTP {response.status_code}")
+
+def store_task_result(task_id: str, result: dict) -> None:
+    cache.set(f"task_result_{task_id}", result, timeout=3600)  # Stores the result for 1 hour
+
+def get_task_result(task_id: str) -> dict:
+    return cache.get(f"task_result_{task_id}")
diff --git a/djangoManager/imageMaker/images/migrations/0001_initial.py b/djangoManager/imageMaker/images/migrations/0001_initial.py
index be2ffb4..c631c38 100644
--- a/djangoManager/imageMaker/images/migrations/0001_initial.py
+++ b/djangoManager/imageMaker/images/migrations/0001_initial.py
@@ -1,170 +1,170 @@
-# Generated by Django 5.1.2 on 2024-10-11 23:09
-
-import django.db.models.deletion
-import django.utils.timezone
-from django.conf import settings
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    initial = True
-
-    dependencies = [
-        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
-    ]
-
-    operations = [
-        migrations.CreateModel(
-            name='CreationType',
-            fields=[
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('id', models.AutoField(primary_key=True, serialize=False)),
-                ('Name', models.CharField(choices=[('User Typed', 'User Typed'), ('Image Combination', 'Image Combination'), ('Text Combination', 'Text Combination'), ('Text Rewrite', 'Text Rewrite')], default='User Typed', max_length=20)),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.CreateModel(
-            name='ImageProducer',
-            fields=[
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('id', models.AutoField(primary_key=True, serialize=False)),
-                ('Name', models.CharField(choices=[('Midjourney', 'Midjourney'), ('De3', 'De3'), ('BFL', 'BFL'), ('Ideogram', 'Ideogram')], default='BFL', max_length=20)),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.CreateModel(
-            name='ImageSaveType',
-            fields=[
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('id', models.AutoField(primary_key=True, serialize=False)),
-                ('Name', models.CharField(choices=[('Raw', 'Raw'), ('Full Annotation', 'Full Annotation'), ('Initial Idea', 'Initial Idea'), ('Final Prompt', 'Final Prompt')], default='Raw', max_length=20)),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.CreateModel(
-            name='Rewriter',
-            fields=[
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('id', models.AutoField(primary_key=True, serialize=False)),
-                ('Name', models.CharField(choices=[('Claude', 'Claude')], default='Claude', max_length=20)),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.CreateModel(
-            name='Tag',
-            fields=[
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('id', models.AutoField(primary_key=True, serialize=False)),
-                ('Name', models.CharField(max_length=255)),
-                ('Hidden', models.BooleanField(default=False)),
-                ('HideContainingPrompts', models.BooleanField(default=False)),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.CreateModel(
-            name='ImageProducerTraits',
-            fields=[
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('id', models.AutoField(primary_key=True, serialize=False)),
-                ('SaveExtension', models.CharField(max_length=255)),
-                ('ImageProducer', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='images.imageproducer')),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.CreateModel(
-            name='ImageProducerVersion',
-            fields=[
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('id', models.AutoField(primary_key=True, serialize=False)),
-                ('Version', models.CharField(max_length=255)),
-                ('ImageProducer', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='images.imageproducer')),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.CreateModel(
-            name='ImageGeneration',
-            fields=[
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('id', models.BigAutoField(primary_key=True, serialize=False)),
-                ('Details', models.JSONField(default=dict)),
-                ('URI', models.CharField(max_length=1024)),
-                ('Result', models.JSONField(default=dict)),
-                ('User', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
-                ('ImageProducerVersion', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='images.imageproducerversion')),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.CreateModel(
-            name='ImageSave',
-            fields=[
-                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('FilePath', models.CharField(max_length=1024)),
-                ('ImageGeneration', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='image_save', to='images.imagegeneration')),
-                ('ImageSaveType', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='images.imagesavetype')),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.CreateModel(
-            name='Prompt',
-            fields=[
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('id', models.AutoField(primary_key=True, serialize=False)),
-                ('Text', models.TextField()),
-                ('CreationTypeData', models.JSONField(default=dict, null=True)),
-                ('CreationType', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='images.creationtype')),
-                ('Creator', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
-                ('Tags', models.ManyToManyField(related_name='prompts', to='images.tag')),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.AddField(
-            model_name='imagegeneration',
-            name='Prompt',
-            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='image_generations', to='images.prompt'),
-        ),
-        migrations.CreateModel(
-            name='PromptTag',
-            fields=[
-                ('created', models.DateTimeField(default=django.utils.timezone.now)),
-                ('updated', models.DateTimeField(auto_now=True)),
-                ('id', models.AutoField(primary_key=True, serialize=False)),
-                ('Prompt', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='prompttags', to='images.prompt')),
-                ('Tag', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='prompttags', to='images.tag')),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-    ]
+# Generated by Django 5.1.2 on 2024-10-11 23:09
+
+import django.db.models.deletion
+import django.utils.timezone
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    initial = True
+
+    dependencies = [
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='CreationType',
+            fields=[
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('id', models.AutoField(primary_key=True, serialize=False)),
+                ('Name', models.CharField(choices=[('User Typed', 'User Typed'), ('Image Combination', 'Image Combination'), ('Text Combination', 'Text Combination'), ('Text Rewrite', 'Text Rewrite')], default='User Typed', max_length=20)),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.CreateModel(
+            name='ImageProducer',
+            fields=[
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('id', models.AutoField(primary_key=True, serialize=False)),
+                ('Name', models.CharField(choices=[('Midjourney', 'Midjourney'), ('De3', 'De3'), ('BFL', 'BFL'), ('Ideogram', 'Ideogram')], default='BFL', max_length=20)),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.CreateModel(
+            name='ImageSaveType',
+            fields=[
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('id', models.AutoField(primary_key=True, serialize=False)),
+                ('Name', models.CharField(choices=[('Raw', 'Raw'), ('Full Annotation', 'Full Annotation'), ('Initial Idea', 'Initial Idea'), ('Final Prompt', 'Final Prompt')], default='Raw', max_length=20)),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.CreateModel(
+            name='Rewriter',
+            fields=[
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('id', models.AutoField(primary_key=True, serialize=False)),
+                ('Name', models.CharField(choices=[('Claude', 'Claude')], default='Claude', max_length=20)),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.CreateModel(
+            name='Tag',
+            fields=[
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('id', models.AutoField(primary_key=True, serialize=False)),
+                ('Name', models.CharField(max_length=255)),
+                ('Hidden', models.BooleanField(default=False)),
+                ('HideContainingPrompts', models.BooleanField(default=False)),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.CreateModel(
+            name='ImageProducerTraits',
+            fields=[
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('id', models.AutoField(primary_key=True, serialize=False)),
+                ('SaveExtension', models.CharField(max_length=255)),
+                ('ImageProducer', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='images.imageproducer')),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.CreateModel(
+            name='ImageProducerVersion',
+            fields=[
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('id', models.AutoField(primary_key=True, serialize=False)),
+                ('Version', models.CharField(max_length=255)),
+                ('ImageProducer', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='images.imageproducer')),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.CreateModel(
+            name='ImageGeneration',
+            fields=[
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('id', models.BigAutoField(primary_key=True, serialize=False)),
+                ('Details', models.JSONField(default=dict)),
+                ('URI', models.CharField(max_length=1024)),
+                ('Result', models.JSONField(default=dict)),
+                ('User', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
+                ('ImageProducerVersion', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='images.imageproducerversion')),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.CreateModel(
+            name='ImageSave',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('FilePath', models.CharField(max_length=1024)),
+                ('ImageGeneration', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='image_save', to='images.imagegeneration')),
+                ('ImageSaveType', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='images.imagesavetype')),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.CreateModel(
+            name='Prompt',
+            fields=[
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('id', models.AutoField(primary_key=True, serialize=False)),
+                ('Text', models.TextField()),
+                ('CreationTypeData', models.JSONField(default=dict, null=True)),
+                ('CreationType', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='images.creationtype')),
+                ('Creator', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
+                ('Tags', models.ManyToManyField(related_name='prompts', to='images.tag')),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.AddField(
+            model_name='imagegeneration',
+            name='Prompt',
+            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='image_generations', to='images.prompt'),
+        ),
+        migrations.CreateModel(
+            name='PromptTag',
+            fields=[
+                ('created', models.DateTimeField(default=django.utils.timezone.now)),
+                ('updated', models.DateTimeField(auto_now=True)),
+                ('id', models.AutoField(primary_key=True, serialize=False)),
+                ('Prompt', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='prompttags', to='images.prompt')),
+                ('Tag', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='prompttags', to='images.tag')),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+    ]
diff --git a/djangoManager/imageMaker/images/models.py b/djangoManager/imageMaker/images/models.py
index 24aeecd..b55fb76 100644
--- a/djangoManager/imageMaker/images/models.py
+++ b/djangoManager/imageMaker/images/models.py
@@ -1,182 +1,182 @@
-from django.db import models
-from django.contrib.auth.models import User
-from django.utils import timezone
-from typing import Optional, Dict, Any
-
-#Rules:
-# never remove this rules comment
-# we don't use i18n now, thanks
-# we use uppercase for field names
-# don't abbreviate items in an enum class.
-
-class BaseModel(models.Model):
-    created = models.DateTimeField(default=timezone.now)
-    updated = models.DateTimeField(auto_now=True)
-
-    def clink(self, text: Optional[str] = None, wrap: bool = True, skip_btn: bool = False, klasses: Optional[list[str]] = None, tooltip: Optional[str] = None) -> str:
-        if skip_btn:
-            klass = ""
-        else:
-            klass = "btn btn-default"
-        if klasses:
-            klass += " ".join(klasses)
-        if wrap:
-            wrap = ""
-        else:
-            wrap = " nb"
-        if not text:
-            text = self
-        if not tooltip:
-            tooltip = ""
-
-        return '<a class="%s%s" title="%s" href="../../%s/%s/?id=%d">%s</a>' % (klass, wrap, tooltip, 'images', self.__class__.__name__.lower(), self.id, text)
-
-    class Meta:
-        app_label = 'images'
-        abstract = True
-
-class Prompt(BaseModel):
-    id = models.AutoField(primary_key=True)
-    Text = models.TextField()
-    Creator = models.ForeignKey(User, on_delete=models.CASCADE)
-    CreationType = models.ForeignKey('CreationType', on_delete=models.CASCADE, null=True)
-    CreationTypeData = models.JSONField(default=dict, null=True, blank=True)
-    #for every creationType there will be a format for the creation type data which we can deserialize.
-
-    def __str__(self) -> str:
-        return self.Text
-
-
-class CreationType(BaseModel):
-    class CreationTypeChoices(models.TextChoices):
-        USER_TYPED = 'User Typed', 'User Typed'
-        IMAGE_COMBINATION = 'Image Combination', 'Image Combination'
-        TEXT_COMBINATION = 'Text Combination', 'Text Combination'
-        TEXT_REWRITE = 'Text Rewrite', 'Text Rewrite'
-        LOADED_FROM_FILE = "Loaded From File", "Loaded From File"
-
-    id = models.AutoField(primary_key=True)
-    Name = models.CharField(
-        max_length=20,
-        choices=CreationTypeChoices.choices,
-        default=CreationTypeChoices.USER_TYPED
-    )
-
-    def __str__(self):
-        return self.Name
-
-
-class Rewriter(BaseModel):
-    class RewriterChoices(models.TextChoices):
-        CLAUDE = 'Claude', 'Claude'
-        LLAMA = 'Llama', 'Llama'
-
-    id = models.AutoField(primary_key=True)
-    Name = models.CharField(
-        max_length=20,
-        choices=RewriterChoices.choices,
-        default=RewriterChoices.CLAUDE
-    )
-
-class PromptTag(BaseModel):
-    id = models.AutoField(primary_key=True)
-    Prompt = models.ForeignKey(Prompt, related_name="prompttags", on_delete=models.CASCADE)
-    Tag = models.ForeignKey('Tag', related_name="prompttags", on_delete=models.CASCADE)
-
-    def __str__(self):
-        return f"{self.Tag}"
-
-class Tag(BaseModel):
-    id = models.AutoField(primary_key=True)
-    Name = models.CharField(max_length=255)
-    Hidden = models.BooleanField(default=False)
-    HideContainingPrompts = models.BooleanField(default=False)
-
-    def __str__(self):
-        return self.Name    
-
-#user generated an image
-class ImageGeneration(BaseModel):
-    id = models.BigAutoField(primary_key=True)
-    User = models.ForeignKey(User, on_delete=models.CASCADE)
-    Prompt = models.ForeignKey(Prompt, related_name="image_generations", on_delete=models.CASCADE)
-    
-    ImageProducerVersion = models.ForeignKey('ImageProducerVersion', on_delete=models.CASCADE)
-    Details = models.JSONField(default=dict, blank=True) 
-    #this will be deserialized based on the imageProducerVersion
-    #this is details of the generation parameters etc. like resolution 
-
-    URI = models.CharField(max_length=1024)
-    Result = models.JSONField(default=dict, blank=True)
-
-    def __str__(self):
-        return f"Gen {self.Prompt.Text[:20]} by {self.User.username} on {self.ImageProducerVersion.ImageProducerType.Name} {self.ImageProducerVersion.Version}"
-
-#okay so the way requests from all image producers except BFL are async is annoying
-# whereas BFL just has two steps - 1. upload the request (sync) then an endpoing 2. to check if its done yet.
-# so this class holds the request before it can be finally saved into an ImageGeneration
-class BFLRequest(BaseModel):
-    id = models.AutoField(primary_key=True)
-    Prompt = models.ForeignKey(Prompt, on_delete=models.CASCADE)
-    Status = models.BooleanField(default=False)
-    User = models.ForeignKey(User, on_delete=models.CASCADE)
-
-# raw or the various types of annotations for saved images.
-class ImageSaveType(BaseModel):
-    class ImageSaveTypeChoices(models.TextChoices):
-        RAW = 'Raw', 'Raw'
-        FULL_ANNOTATION = 'Full Annotation', 'Full Annotation'
-        INITIAL_IDEA = 'Initial Idea', 'Initial Idea'
-        FINAL_PROMPT = 'Final Prompt', 'Final Prompt'
-
-    id = models.AutoField(primary_key=True)
-    Name = models.CharField(
-        max_length=20,
-        choices=ImageSaveTypeChoices.choices,
-        default=ImageSaveTypeChoices.RAW
-    )
-
-    def __str__(self):
-        return self.Name
-
-# we saved a version of an image 
-class ImageSave(BaseModel):
-    ImageGeneration = models.ForeignKey(ImageGeneration, related_name='image_saves', on_delete=models.CASCADE)
-    ImageSaveType = models.ForeignKey(ImageSaveType, on_delete=models.CASCADE)
-    FilePath = models.CharField(max_length=1024)
-
-class ImageProducerType(BaseModel):
-    class ImageProducerTypeChoices(models.TextChoices): 
-        MIDJOURNEY = 'Midjourney', 'Midjourney'
-        DE3 = 'De3', 'De3'
-        BFL = 'BFL', 'BFL'
-        IDEOGRAM = 'Ideogram', 'Ideogram'
-
-    id = models.AutoField(primary_key=True)
-    Name = models.CharField(
-        max_length=20,
-        choices=ImageProducerTypeChoices.choices,
-        default=ImageProducerTypeChoices.BFL
-    )
-
-    def __str__(self):
-        return self.Name
-
-#details of a specific image producer
-class ImageProducerTraits(BaseModel):
-    id = models.AutoField(primary_key=True)
-    ImageProducerType = models.ForeignKey('ImageProducerType', on_delete=models.CASCADE)
-    SaveExtension = models.CharField(max_length=255)
-
-    def __str__(self):
-        return f"{self.ImageProducerType} {self.SaveExtension}"
-
-#an api, e.g.
-#A version label of a producer, like ideogram2?
-class ImageProducerVersion(BaseModel):
-    id = models.AutoField(primary_key=True)
-    ImageProducerType = models.ForeignKey(ImageProducerType, on_delete=models.CASCADE)
-    Version = models.CharField(max_length=255)
-
-    def __str__(self):
-        return f"{self.ImageProducerType} {self.Version}"
+from django.db import models
+from django.contrib.auth.models import User
+from django.utils import timezone
+from typing import Optional, Dict, Any
+
+#Rules:
+# never remove this rules comment
+# we don't use i18n now, thanks
+# we use uppercase for field names
+# don't abbreviate items in an enum class.
+
+class BaseModel(models.Model):
+    created = models.DateTimeField(default=timezone.now)
+    updated = models.DateTimeField(auto_now=True)
+
+    def clink(self, text: Optional[str] = None, wrap: bool = True, skip_btn: bool = False, klasses: Optional[list[str]] = None, tooltip: Optional[str] = None) -> str:
+        if skip_btn:
+            klass = ""
+        else:
+            klass = "btn btn-default"
+        if klasses:
+            klass += " ".join(klasses)
+        if wrap:
+            wrap = ""
+        else:
+            wrap = " nb"
+        if not text:
+            text = self
+        if not tooltip:
+            tooltip = ""
+
+        return '<a class="%s%s" title="%s" href="../../%s/%s/?id=%d">%s</a>' % (klass, wrap, tooltip, 'images', self.__class__.__name__.lower(), self.id, text)
+
+    class Meta:
+        app_label = 'images'
+        abstract = True
+
+class Prompt(BaseModel):
+    id = models.AutoField(primary_key=True)
+    Text = models.TextField()
+    Creator = models.ForeignKey(User, on_delete=models.CASCADE)
+    CreationType = models.ForeignKey('CreationType', on_delete=models.CASCADE, null=True)
+    CreationTypeData = models.JSONField(default=dict, null=True, blank=True)
+    #for every creationType there will be a format for the creation type data which we can deserialize.
+
+    def __str__(self) -> str:
+        return self.Text
+
+
+class CreationType(BaseModel):
+    class CreationTypeChoices(models.TextChoices):
+        USER_TYPED = 'User Typed', 'User Typed'
+        IMAGE_COMBINATION = 'Image Combination', 'Image Combination'
+        TEXT_COMBINATION = 'Text Combination', 'Text Combination'
+        TEXT_REWRITE = 'Text Rewrite', 'Text Rewrite'
+        LOADED_FROM_FILE = "Loaded From File", "Loaded From File"
+
+    id = models.AutoField(primary_key=True)
+    Name = models.CharField(
+        max_length=20,
+        choices=CreationTypeChoices.choices,
+        default=CreationTypeChoices.USER_TYPED
+    )
+
+    def __str__(self):
+        return self.Name
+
+
+class Rewriter(BaseModel):
+    class RewriterChoices(models.TextChoices):
+        CLAUDE = 'Claude', 'Claude'
+        LLAMA = 'Llama', 'Llama'
+
+    id = models.AutoField(primary_key=True)
+    Name = models.CharField(
+        max_length=20,
+        choices=RewriterChoices.choices,
+        default=RewriterChoices.CLAUDE
+    )
+
+class PromptTag(BaseModel):
+    id = models.AutoField(primary_key=True)
+    Prompt = models.ForeignKey(Prompt, related_name="prompttags", on_delete=models.CASCADE)
+    Tag = models.ForeignKey('Tag', related_name="prompttags", on_delete=models.CASCADE)
+
+    def __str__(self):
+        return f"{self.Tag}"
+
+class Tag(BaseModel):
+    id = models.AutoField(primary_key=True)
+    Name = models.CharField(max_length=255)
+    Hidden = models.BooleanField(default=False)
+    HideContainingPrompts = models.BooleanField(default=False)
+
+    def __str__(self):
+        return self.Name    
+
+#user generated an image
+class ImageGeneration(BaseModel):
+    id = models.BigAutoField(primary_key=True)
+    User = models.ForeignKey(User, on_delete=models.CASCADE)
+    Prompt = models.ForeignKey(Prompt, related_name="image_generations", on_delete=models.CASCADE)
+    
+    ImageProducerVersion = models.ForeignKey('ImageProducerVersion', on_delete=models.CASCADE)
+    Details = models.JSONField(default=dict, blank=True) 
+    #this will be deserialized based on the imageProducerVersion
+    #this is details of the generation parameters etc. like resolution 
+
+    URI = models.CharField(max_length=1024)
+    Result = models.JSONField(default=dict, blank=True)
+
+    def __str__(self):
+        return f"Gen {self.Prompt.Text[:20]} by {self.User.username} on {self.ImageProducerVersion.ImageProducerType.Name} {self.ImageProducerVersion.Version}"
+
+#okay so the way requests from all image producers except BFL are async is annoying
+# whereas BFL just has two steps - 1. upload the request (sync) then an endpoing 2. to check if its done yet.
+# so this class holds the request before it can be finally saved into an ImageGeneration
+class BFLRequest(BaseModel):
+    id = models.AutoField(primary_key=True)
+    Prompt = models.ForeignKey(Prompt, on_delete=models.CASCADE)
+    Status = models.BooleanField(default=False)
+    User = models.ForeignKey(User, on_delete=models.CASCADE)
+
+# raw or the various types of annotations for saved images.
+class ImageSaveType(BaseModel):
+    class ImageSaveTypeChoices(models.TextChoices):
+        RAW = 'Raw', 'Raw'
+        FULL_ANNOTATION = 'Full Annotation', 'Full Annotation'
+        INITIAL_IDEA = 'Initial Idea', 'Initial Idea'
+        FINAL_PROMPT = 'Final Prompt', 'Final Prompt'
+
+    id = models.AutoField(primary_key=True)
+    Name = models.CharField(
+        max_length=20,
+        choices=ImageSaveTypeChoices.choices,
+        default=ImageSaveTypeChoices.RAW
+    )
+
+    def __str__(self):
+        return self.Name
+
+# we saved a version of an image 
+class ImageSave(BaseModel):
+    ImageGeneration = models.ForeignKey(ImageGeneration, related_name='image_saves', on_delete=models.CASCADE)
+    ImageSaveType = models.ForeignKey(ImageSaveType, on_delete=models.CASCADE)
+    FilePath = models.CharField(max_length=1024)
+
+class ImageProducerType(BaseModel):
+    class ImageProducerTypeChoices(models.TextChoices): 
+        MIDJOURNEY = 'Midjourney', 'Midjourney'
+        DE3 = 'De3', 'De3'
+        BFL = 'BFL', 'BFL'
+        IDEOGRAM = 'Ideogram', 'Ideogram'
+
+    id = models.AutoField(primary_key=True)
+    Name = models.CharField(
+        max_length=20,
+        choices=ImageProducerTypeChoices.choices,
+        default=ImageProducerTypeChoices.BFL
+    )
+
+    def __str__(self):
+        return self.Name
+
+#details of a specific image producer
+class ImageProducerTraits(BaseModel):
+    id = models.AutoField(primary_key=True)
+    ImageProducerType = models.ForeignKey('ImageProducerType', on_delete=models.CASCADE)
+    SaveExtension = models.CharField(max_length=255)
+
+    def __str__(self):
+        return f"{self.ImageProducerType} {self.SaveExtension}"
+
+#an api, e.g.
+#A version label of a producer, like ideogram2?
+class ImageProducerVersion(BaseModel):
+    id = models.AutoField(primary_key=True)
+    ImageProducerType = models.ForeignKey(ImageProducerType, on_delete=models.CASCADE)
+    Version = models.CharField(max_length=255)
+
+    def __str__(self):
+        return f"{self.ImageProducerType} {self.Version}"
diff --git a/djangoManager/imageMaker/images/settings_loader.py b/djangoManager/imageMaker/images/settings_loader.py
index 89661cc..cd3892c 100644
--- a/djangoManager/imageMaker/images/settings_loader.py
+++ b/djangoManager/imageMaker/images/settings_loader.py
@@ -1,45 +1,45 @@
-import json
-import os
-from typing import Dict, Any
-
-class SettingsLoader:
-    def __init__(self, settings_dict: Dict[str, Any]):
-        self.image_download_base_folder = settings_dict.get('ImageDownloadBaseFolder', '')
-        self.save_json_log = settings_dict.get('SaveJsonLog', False)
-        self.enable_logging = settings_dict.get('EnableLogging', False)
-        self.annotation_side = settings_dict.get('AnnotationSide', '')
-        self.bfl_api_key = settings_dict.get('BFLApiKey', '')
-        self.ideogram_api_key = settings_dict.get('IdeogramApiKey', '')
-        self.openai_api_key = settings_dict.get('OpenAIApiKey', '')
-        self.anthropic_api_key = settings_dict.get('AnthropicApiKey', '')
-
-    @classmethod
-    @classmethod
-    def load_from_file(cls, file_path: str) -> 'SettingsLoader':
-        if not os.path.exists(file_path):
-            print(os.getcwd())
-            raise FileNotFoundError(f"Settings file not found: {file_path}")
-
-        with open(file_path, 'r', encoding='utf-8-sig') as f:
-            settings_dict = json.load(f)
-
-        return cls(settings_dict)
-
-    def __str__(self):
-        return (
-            f"Current settings:\n"
-            f"Image Download Base:\t{self.image_download_base_folder}\n"
-            f"Save JSON Log:\t{self.save_json_log}\n"
-            f"Enable Logging:\t\t{self.enable_logging}\n"
-            f"Annotation Side:\t{self.annotation_side}"
-        )
-
-def load_settings(settings_file_path: str = '../../MultiImageClient/settings.json') -> SettingsLoader:
-    try:
-        settings = SettingsLoader.load_from_file(settings_file_path)
-        print(settings)
-        return settings
-    except Exception as e:
-        print(f"Error loading settings: {e}")
-        return None
-
+import json
+import os
+from typing import Dict, Any
+
+class SettingsLoader:
+    def __init__(self, settings_dict: Dict[str, Any]):
+        self.image_download_base_folder = settings_dict.get('ImageDownloadBaseFolder', '')
+        self.save_json_log = settings_dict.get('SaveJsonLog', False)
+        self.enable_logging = settings_dict.get('EnableLogging', False)
+        self.annotation_side = settings_dict.get('AnnotationSide', '')
+        self.bfl_api_key = settings_dict.get('BFLApiKey', '')
+        self.ideogram_api_key = settings_dict.get('IdeogramApiKey', '')
+        self.openai_api_key = settings_dict.get('OpenAIApiKey', '')
+        self.anthropic_api_key = settings_dict.get('AnthropicApiKey', '')
+
+    @classmethod
+    @classmethod
+    def load_from_file(cls, file_path: str) -> 'SettingsLoader':
+        if not os.path.exists(file_path):
+            print(os.getcwd())
+            raise FileNotFoundError(f"Settings file not found: {file_path}")
+
+        with open(file_path, 'r', encoding='utf-8-sig') as f:
+            settings_dict = json.load(f)
+
+        return cls(settings_dict)
+
+    def __str__(self):
+        return (
+            f"Current settings:\n"
+            f"Image Download Base:\t{self.image_download_base_folder}\n"
+            f"Save JSON Log:\t{self.save_json_log}\n"
+            f"Enable Logging:\t\t{self.enable_logging}\n"
+            f"Annotation Side:\t{self.annotation_side}"
+        )
+
+def load_settings(settings_file_path: str = '../../MultiImageClient/settings.json') -> SettingsLoader:
+    try:
+        settings = SettingsLoader.load_from_file(settings_file_path)
+        print(settings)
+        return settings
+    except Exception as e:
+        print(f"Error loading settings: {e}")
+        return None
+
diff --git a/djangoManager/imageMaker/images/templates/admin/base_site.html b/djangoManager/imageMaker/images/templates/admin/base_site.html
index 6f45a5e..b2f5df5 100644
--- a/djangoManager/imageMaker/images/templates/admin/base_site.html
+++ b/djangoManager/imageMaker/images/templates/admin/base_site.html
@@ -1,55 +1,55 @@
-{% extends "admin/base.html" %}
-{% load i18n %}
-{% load static %}
-
-{% block extrahead %}
-{{ block.super }}
-<!-- Bootstrap CSS -->
-<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
-<!-- Custom CSS -->
-<link href="{% static 'css/custom.css' %}" rel="stylesheet">
-<!-- jQuery -->
-<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
-<style>
-    #footer {
-        margin-top: 2rem;
-        padding: 1rem;
-        background-color: #f8f9fa;
-        text-align: center;
-    }
-
-    #footer nav ul {
-        list-style-type: none;
-        padding: 0;
-    }
-
-    #footer nav ul li {
-        display: inline;
-        margin: 0 10px;
-    }
-</style>
-{% block extra_css %}{% endblock %}
-{% endblock %}
-
-{% block footer %}
-{{ block.super }}
-<div id="footer">
-    <nav>
-        <ul>
-            <li><a href="{% url 'index' %}">Home</a></li>
-            <li><a href="{% url 'admin:index' %}">Admin</a></li>
-            <li><a href="{% url 'upload_json' %}">Upload JSON</a></li>
-            <li><a href="{% url 'text_input' %}">Text Input</a></li>
-            <li><a href="{% url 'view_image_dir' %}">View Images</a></li>
-            <!-- Add more footer links as needed -->
-        </ul>
-    </nav>
-</div>
-{% endblock %}
-
-{% block bodyend %}
-{{ block.super }}
-<!-- Bootstrap JS Bundle with Popper -->
-<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script>
-{% block extra_js %}{% endblock %}
+{% extends "admin/base.html" %}
+{% load i18n %}
+{% load static %}
+
+{% block extrahead %}
+{{ block.super }}
+<!-- Bootstrap CSS -->
+<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
+<!-- Custom CSS -->
+<link href="{% static 'css/custom.css' %}" rel="stylesheet">
+<!-- jQuery -->
+<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
+<style>
+    #footer {
+        margin-top: 2rem;
+        padding: 1rem;
+        background-color: #f8f9fa;
+        text-align: center;
+    }
+
+    #footer nav ul {
+        list-style-type: none;
+        padding: 0;
+    }
+
+    #footer nav ul li {
+        display: inline;
+        margin: 0 10px;
+    }
+</style>
+{% block extra_css %}{% endblock %}
+{% endblock %}
+
+{% block footer %}
+{{ block.super }}
+<div id="footer">
+    <nav>
+        <ul>
+            <li><a href="{% url 'index' %}">Home</a></li>
+            <li><a href="{% url 'admin:index' %}">Admin</a></li>
+            <li><a href="{% url 'upload_json' %}">Upload JSON</a></li>
+            <li><a href="{% url 'text_input' %}">Text Input</a></li>
+            <li><a href="{% url 'view_image_dir' %}">View Images</a></li>
+            <!-- Add more footer links as needed -->
+        </ul>
+    </nav>
+</div>
+{% endblock %}
+
+{% block bodyend %}
+{{ block.super }}
+<!-- Bootstrap JS Bundle with Popper -->
+<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script>
+{% block extra_js %}{% endblock %}
 {% endblock %}
\ No newline at end of file
diff --git a/djangoManager/imageMaker/images/templates/base.html b/djangoManager/imageMaker/images/templates/base.html
index 686ba1c..1c5da9f 100644
--- a/djangoManager/imageMaker/images/templates/base.html
+++ b/djangoManager/imageMaker/images/templates/base.html
@@ -1,71 +1,71 @@
-{% load static %}
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>Image Maker</title>
-    <!-- Bootstrap CSS -->
-    <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
-    <!-- Custom CSS -->
-    <link href="{% static 'css/custom.css' %}" rel="stylesheet">
-    <!-- jQuery -->
-    <script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
-    <style>
-        footer {
-            margin-top: 2rem;
-            padding: 1rem;
-            background-color: #f8f9fa;
-            text-align: center;
-        }
-
-        footer nav ul {
-            list-style-type: none;
-            padding: 0;
-        }
-
-        footer nav ul li {
-            display: inline;
-            margin: 0 10px;
-        }
-
-        footer nav ul li a {
-            text-decoration: none;
-            color: #007bff;
-        }
-
-        footer nav ul li a:hover {
-            text-decoration: underline;
-        }
-    </style>
-    <link rel="shortcut icon" type="image/png" href="{% static 'favicon.ico' %}" />
-</head>
-
-<body>
-    <header>
-        <!-- Add your header content here -->
-    </header>
-
-    <main class="container">
-        {% block content %}
-        {% endblock %}
-    </main>
-
-    <footer>
-        <nav>
-            <ul>
-                <li><a href="{% url 'index' %}">Home</a></li>
-                <li><a href="{% url 'admin:index' %}">Admin</a></li>
-                <li><a href="{% url 'upload_json' %}">Upload JSON</a></li>
-                <li><a href="{% url 'text_input' %}">Text Input</a></li>
-                <li><a href="{% url 'view_image_dir' %}">View Images</a></li>
-            </ul>
-        </nav>
-    </footer>
-
-    <!-- Bootstrap JS Bundle with Popper -->
-    <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script>
-</body>
-
+{% load static %}
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Image Maker</title>
+    <!-- Bootstrap CSS -->
+    <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
+    <!-- Custom CSS -->
+    <link href="{% static 'css/custom.css' %}" rel="stylesheet">
+    <!-- jQuery -->
+    <script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
+    <style>
+        footer {
+            margin-top: 2rem;
+            padding: 1rem;
+            background-color: #f8f9fa;
+            text-align: center;
+        }
+
+        footer nav ul {
+            list-style-type: none;
+            padding: 0;
+        }
+
+        footer nav ul li {
+            display: inline;
+            margin: 0 10px;
+        }
+
+        footer nav ul li a {
+            text-decoration: none;
+            color: #007bff;
+        }
+
+        footer nav ul li a:hover {
+            text-decoration: underline;
+        }
+    </style>
+    <link rel="shortcut icon" type="image/png" href="{% static 'favicon.ico' %}" />
+</head>
+
+<body>
+    <header>
+        <!-- Add your header content here -->
+    </header>
+
+    <main class="container">
+        {% block content %}
+        {% endblock %}
+    </main>
+
+    <footer>
+        <nav>
+            <ul>
+                <li><a href="{% url 'index' %}">Home</a></li>
+                <li><a href="{% url 'admin:index' %}">Admin</a></li>
+                <li><a href="{% url 'upload_json' %}">Upload JSON</a></li>
+                <li><a href="{% url 'text_input' %}">Text Input</a></li>
+                <li><a href="{% url 'view_image_dir' %}">View Images</a></li>
+            </ul>
+        </nav>
+    </footer>
+
+    <!-- Bootstrap JS Bundle with Popper -->
+    <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script>
+</body>
+
 </html>
\ No newline at end of file
diff --git a/djangoManager/imageMaker/images/templates/index.html b/djangoManager/imageMaker/images/templates/index.html
index 7d64c2c..604bc03 100644
--- a/djangoManager/imageMaker/images/templates/index.html
+++ b/djangoManager/imageMaker/images/templates/index.html
@@ -1,9 +1,9 @@
-{% extends "base.html" %}
-
-{% block content %}
-<div class="container">
-    <h1 class="mt-4 mb-4">Welcome to Image Maker</h1>
-
-
-</div>
+{% extends "base.html" %}
+
+{% block content %}
+<div class="container">
+    <h1 class="mt-4 mb-4">Welcome to Image Maker</h1>
+
+
+</div>
 {% endblock %}
\ No newline at end of file
diff --git a/djangoManager/imageMaker/images/templates/text_input.html b/djangoManager/imageMaker/images/templates/text_input.html
index 17260c1..f43ddae 100644
--- a/djangoManager/imageMaker/images/templates/text_input.html
+++ b/djangoManager/imageMaker/images/templates/text_input.html
@@ -1,25 +1,25 @@
-{% extends "base.html" %}
-
-{% block content %}
-<div class="container">
-    <h2 class="mt-4 mb-4">Text Input</h2>
-    <form method="post">
-        {% csrf_token %}
-        <div class="mb-3">
-            <label for="text_content" class="form-label">Enter your text:</label>
-            <textarea class="form-control" id="text_content" name="text_content" rows="10" required></textarea>
-        </div>
-        <button type="submit" class="btn btn-primary">Submit</button>
-    </form>
-
-    {% if messages %}
-    <div class="mt-4">
-        {% for message in messages %}
-        <div class="alert alert-{{ message.tags }}">
-            {{ message }}
-        </div>
-        {% endfor %}
-    </div>
-    {% endif %}
-</div>
+{% extends "base.html" %}
+
+{% block content %}
+<div class="container">
+    <h2 class="mt-4 mb-4">Text Input</h2>
+    <form method="post">
+        {% csrf_token %}
+        <div class="mb-3">
+            <label for="text_content" class="form-label">Enter your text:</label>
+            <textarea class="form-control" id="text_content" name="text_content" rows="10" required></textarea>
+        </div>
+        <button type="submit" class="btn btn-primary">Submit</button>
+    </form>
+
+    {% if messages %}
+    <div class="mt-4">
+        {% for message in messages %}
+        <div class="alert alert-{{ message.tags }}">
+            {{ message }}
+        </div>
+        {% endfor %}
+    </div>
+    {% endif %}
+</div>
 {% endblock %}
\ No newline at end of file
diff --git a/djangoManager/imageMaker/images/templates/upload_json.html b/djangoManager/imageMaker/images/templates/upload_json.html
index d2ea8b4..76a7a5b 100644
--- a/djangoManager/imageMaker/images/templates/upload_json.html
+++ b/djangoManager/imageMaker/images/templates/upload_json.html
@@ -1,18 +1,18 @@
-{% extends "base.html" %}
-
-{% block content %}
-<h2>Upload JSON File</h2>
-<form method="post" enctype="multipart/form-data">
-    {% csrf_token %}
-    <input type="file" name="json_file" accept=".json">
-    <button type="submit">Upload</button>
-</form>
-
-{% if messages %}
-<ul class="messages">
-    {% for message in messages %}
-    <li{% if message.tags %} class="{{ message.tags }}" {% endif %}>{{ message }}</li>
-        {% endfor %}
-</ul>
-{% endif %}
+{% extends "base.html" %}
+
+{% block content %}
+<h2>Upload JSON File</h2>
+<form method="post" enctype="multipart/form-data">
+    {% csrf_token %}
+    <input type="file" name="json_file" accept=".json">
+    <button type="submit">Upload</button>
+</form>
+
+{% if messages %}
+<ul class="messages">
+    {% for message in messages %}
+    <li{% if message.tags %} class="{{ message.tags }}" {% endif %}>{{ message }}</li>
+        {% endfor %}
+</ul>
+{% endif %}
 {% endblock %}
\ No newline at end of file
diff --git a/djangoManager/imageMaker/images/templates/view_image_dir.html b/djangoManager/imageMaker/images/templates/view_image_dir.html
index f70ff97..88d7fbb 100644
--- a/djangoManager/imageMaker/images/templates/view_image_dir.html
+++ b/djangoManager/imageMaker/images/templates/view_image_dir.html
@@ -1,17 +1,17 @@
-{% extends "base.html" %}
-{% load static %}
-
-{% block content %}
-<div id="fullscreen-viewer" class="fullscreen-viewer">
-    <img id="fullscreen-image" src="">
-    <div class="controls">
-        <button id="prev-button">&lt; Previous</button>
-        <button id="next-button">Next &gt;</button>
-    </div>
-</div>
-
-<script>
-    const imageDir = "{{ image_dir }}";
-</script>
-<script src="{% static 'js/image_viewer.js' %}"></script>
+{% extends "base.html" %}
+{% load static %}
+
+{% block content %}
+<div id="fullscreen-viewer" class="fullscreen-viewer">
+    <img id="fullscreen-image" src="">
+    <div class="controls">
+        <button id="prev-button">&lt; Previous</button>
+        <button id="next-button">Next &gt;</button>
+    </div>
+</div>
+
+<script>
+    const imageDir = "{{ image_dir }}";
+</script>
+<script src="{% static 'js/image_viewer.js' %}"></script>
 {% endblock %}
\ No newline at end of file
diff --git a/djangoManager/imageMaker/images/tests.py b/djangoManager/imageMaker/images/tests.py
index 7ce503c..de8bdc0 100644
--- a/djangoManager/imageMaker/images/tests.py
+++ b/djangoManager/imageMaker/images/tests.py
@@ -1,3 +1,3 @@
-from django.test import TestCase
-
-# Create your tests here.
+from django.test import TestCase
+
+# Create your tests here.
diff --git a/djangoManager/imageMaker/images/views.py b/djangoManager/imageMaker/images/views.py
index bcb0800..b32d913 100644
--- a/djangoManager/imageMaker/images/views.py
+++ b/djangoManager/imageMaker/images/views.py
@@ -1,102 +1,102 @@
-import os
-from django.conf import settings
- 
-from django.shortcuts import render, redirect
-from django.contrib import messages
-from django.core.files.storage import default_storage
-from django.core.files.base import ContentFile
-import json
-from .models import *
-from typing import Any, List
-from django.http import JsonResponse
-from django.db.models import Q
-from .models import Prompt
-
-# Create your views here.
-
-def index(request: Any) -> Any:
-    links = [
-
-    ]
-    return render(request, 'index.html', {})
-
-
-
-def prompt_search(request):
-    query = request.GET.get('q', '')
-    page = int(request.GET.get('page', 1))
-    per_page = 30
-    offset = (page - 1) * per_page
-
-    prompts = Prompt.objects.filter(Q(Text__icontains=query) | Q(id__icontains=query))[offset:offset+per_page]
-    total_count = Prompt.objects.filter(Q(Text__icontains=query) | Q(id__icontains=query)).count()
-
-    results = [{'id': prompt.id, 'text': f"{prompt.id}: {prompt.Text[:100]}"} for prompt in prompts]
-    return JsonResponse({
-        'results': results,
-        'total_count': total_count,
-        'pagination': {
-            'more': total_count > (page * per_page)
-        }
-    })
-
-def upload_json(request):
-    if request.method == 'POST' and request.FILES['json_file']:
-        import ipdb;ipdb.set_trace()
-        json_file = request.FILES['json_file']
-        
-        # Save the file temporarily
-        path = default_storage.save('tmp/json_upload.json', ContentFile(json_file.read()))
-        
-        try:
-            with default_storage.open(path) as f:
-                data = json.load(f)
-            
-            # Process the JSON data here
-            # You can access any model and perform operations
-            # For example:
-            # new_prompt = Prompt.objects.create(Text=data['prompt_text'], Creator=request.user)
-            
-            messages.success(request, 'JSON file uploaded and processed successfully.')
-        except json.JSONDecodeError:
-            messages.error(request, 'Invalid JSON file.')
-        except Exception as e:
-            messages.error(request, f'An error occurred: {str(e)}')
-        finally:
-            # Clean up the temporary file
-            default_storage.delete(path)
-        
-        return redirect('upload_json')
-    
-    return render(request, 'upload_json.html')
-
-def text_input(request: Any) -> Any:
-    
-    if request.method == 'POST':
-        text = request.POST.get('text_content', '')
-        if text:
-            # Process the text
-            processed_text: List[str] = set([el.strip() for el in process_text_input(text)])
-            loadedFromFile = CreationType.objects.get(Name=CreationType.CreationTypeChoices.LOADED_FROM_FILE)
-            for el in processed_text:
-                prompt, created = Prompt.objects.get_or_create(Text=el, Creator=request.user, CreationType=loadedFromFile)
-            messages.success(request, 'Text processed successfully.')
-        else:
-            messages.error(request, 'No text was provided.')
-        
-        return redirect('text_input')
-    
-    return render(request, 'text_input.html')
-
-def process_text_input(text: str) -> List[str]:
-    # Remove leading/trailing whitespace
-    text = text.strip()
-    
-    # Check if the text is wrapped in quotes
-    if text.startswith('"') and text.endswith('"'):
-        # Treat as a single multiline string
-        return [text[1:-1].strip()]  # Remove the quotes and strip again
-    else:
-        # Split by lines, strip each line, and filter out empty lines
-        return [line.strip() for line in text.split('\n') if line.strip()]
-
+import os
+from django.conf import settings
+ 
+from django.shortcuts import render, redirect
+from django.contrib import messages
+from django.core.files.storage import default_storage
+from django.core.files.base import ContentFile
+import json
+from .models import *
+from typing import Any, List
+from django.http import JsonResponse
+from django.db.models import Q
+from .models import Prompt
+
+# Create your views here.
+
+def index(request: Any) -> Any:
+    links = [
+
+    ]
+    return render(request, 'index.html', {})
+
+
+
+def prompt_search(request):
+    query = request.GET.get('q', '')
+    page = int(request.GET.get('page', 1))
+    per_page = 30
+    offset = (page - 1) * per_page
+
+    prompts = Prompt.objects.filter(Q(Text__icontains=query) | Q(id__icontains=query))[offset:offset+per_page]
+    total_count = Prompt.objects.filter(Q(Text__icontains=query) | Q(id__icontains=query)).count()
+
+    results = [{'id': prompt.id, 'text': f"{prompt.id}: {prompt.Text[:100]}"} for prompt in prompts]
+    return JsonResponse({
+        'results': results,
+        'total_count': total_count,
+        'pagination': {
+            'more': total_count > (page * per_page)
+        }
+    })
+
+def upload_json(request):
+    if request.method == 'POST' and request.FILES['json_file']:
+        import ipdb;ipdb.set_trace()
+        json_file = request.FILES['json_file']
+        
+        # Save the file temporarily
+        path = default_storage.save('tmp/json_upload.json', ContentFile(json_file.read()))
+        
+        try:
+            with default_storage.open(path) as f:
+                data = json.load(f)
+            
+            # Process the JSON data here
+            # You can access any model and perform operations
+            # For example:
+            # new_prompt = Prompt.objects.create(Text=data['prompt_text'], Creator=request.user)
+            
+            messages.success(request, 'JSON file uploaded and processed successfully.')
+        except json.JSONDecodeError:
+            messages.error(request, 'Invalid JSON file.')
+        except Exception as e:
+            messages.error(request, f'An error occurred: {str(e)}')
+        finally:
+            # Clean up the temporary file
+            default_storage.delete(path)
+        
+        return redirect('upload_json')
+    
+    return render(request, 'upload_json.html')
+
+def text_input(request: Any) -> Any:
+    
+    if request.method == 'POST':
+        text = request.POST.get('text_content', '')
+        if text:
+            # Process the text
+            processed_text: List[str] = set([el.strip() for el in process_text_input(text)])
+            loadedFromFile = CreationType.objects.get(Name=CreationType.CreationTypeChoices.LOADED_FROM_FILE)
+            for el in processed_text:
+                prompt, created = Prompt.objects.get_or_create(Text=el, Creator=request.user, CreationType=loadedFromFile)
+            messages.success(request, 'Text processed successfully.')
+        else:
+            messages.error(request, 'No text was provided.')
+        
+        return redirect('text_input')
+    
+    return render(request, 'text_input.html')
+
+def process_text_input(text: str) -> List[str]:
+    # Remove leading/trailing whitespace
+    text = text.strip()
+    
+    # Check if the text is wrapped in quotes
+    if text.startswith('"') and text.endswith('"'):
+        # Treat as a single multiline string
+        return [text[1:-1].strip()]  # Remove the quotes and strip again
+    else:
+        # Split by lines, strip each line, and filter out empty lines
+        return [line.strip() for line in text.split('\n') if line.strip()]
+
diff --git a/djangoManager/imageMaker/manage.py b/djangoManager/imageMaker/manage.py
index b7c2395..6e71a3f 100644
--- a/djangoManager/imageMaker/manage.py
+++ b/djangoManager/imageMaker/manage.py
@@ -1,22 +1,22 @@
-#!/usr/bin/env python
-"""Django's command-line utility for administrative tasks."""
-import os
-import sys
-
-
-def main():
-    """Run administrative tasks."""
-    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'imageMaker.settings')
-    try:
-        from django.core.management import execute_from_command_line
-    except ImportError as exc:
-        raise ImportError(
-            "Couldn't import Django. Are you sure it's installed and "
-            "available on your PYTHONPATH environment variable? Did you "
-            "forget to activate a virtual environment?"
-        ) from exc
-    execute_from_command_line(sys.argv)
-
-
-if __name__ == '__main__':
-    main()
+#!/usr/bin/env python
+"""Django's command-line utility for administrative tasks."""
+import os
+import sys
+
+
+def main():
+    """Run administrative tasks."""
+    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'imageMaker.settings')
+    try:
+        from django.core.management import execute_from_command_line
+    except ImportError as exc:
+        raise ImportError(
+            "Couldn't import Django. Are you sure it's installed and "
+            "available on your PYTHONPATH environment variable? Did you "
+            "forget to activate a virtual environment?"
+        ) from exc
+    execute_from_command_line(sys.argv)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/djangoManager/imageMaker/requirements.txt b/djangoManager/imageMaker/requirements.txt
index 67aae66..8db848b 100644
--- a/djangoManager/imageMaker/requirements.txt
+++ b/djangoManager/imageMaker/requirements.txt
@@ -1,5 +1,5 @@
-django
-mysqlclient
-requests
-ipdb
+django
+mysqlclient
+requests
+ipdb
 aiohttp
\ No newline at end of file
diff --git a/djangoManager/imageMaker/static/css/custom.css b/djangoManager/imageMaker/static/css/custom.css
index 6615822..6050a9b 100644
--- a/djangoManager/imageMaker/static/css/custom.css
+++ b/djangoManager/imageMaker/static/css/custom.css
@@ -1,43 +1,43 @@
-.fullscreen-viewer {
-    display: none;
-    position: fixed;
-    top: 0;
-    left: 0;
-    width: 100%;
-    height: 100%;
-    background-color: rgba(0, 0, 0, 0.9);
-    z-index: 1000;
-    flex-direction: column;
-    justify-content: center;
-    align-items: center;
-}
-
-.fullscreen-viewer img {
-    max-width: 90%;
-    max-height: 80%;
-    object-fit: contain;
-    margin-bottom: 20px;
-    /* Add space between image and controls */
-}
-
-.controls {
-    display: flex;
-    justify-content: center;
-    align-items: center;
-    width: 100%;
-}
-
-.controls button {
-    margin: 0 10px;
-    padding: 10px 20px;
-    font-size: 16px;
-    cursor: pointer;
-    background-color: #333;
-    color: #fff;
-    border: none;
-    border-radius: 5px;
-}
-
-.controls button:hover {
-    background-color: #555;
+.fullscreen-viewer {
+    display: none;
+    position: fixed;
+    top: 0;
+    left: 0;
+    width: 100%;
+    height: 100%;
+    background-color: rgba(0, 0, 0, 0.9);
+    z-index: 1000;
+    flex-direction: column;
+    justify-content: center;
+    align-items: center;
+}
+
+.fullscreen-viewer img {
+    max-width: 90%;
+    max-height: 80%;
+    object-fit: contain;
+    margin-bottom: 20px;
+    /* Add space between image and controls */
+}
+
+.controls {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    width: 100%;
+}
+
+.controls button {
+    margin: 0 10px;
+    padding: 10px 20px;
+    font-size: 16px;
+    cursor: pointer;
+    background-color: #333;
+    color: #fff;
+    border: none;
+    border-radius: 5px;
+}
+
+.controls button:hover {
+    background-color: #555;
 }
\ No newline at end of file
diff --git a/djangoManager/imageMaker/static/js/image_viewer.js b/djangoManager/imageMaker/static/js/image_viewer.js
index 71a45df..bf35ac1 100644
--- a/djangoManager/imageMaker/static/js/image_viewer.js
+++ b/djangoManager/imageMaker/static/js/image_viewer.js
@@ -1,60 +1,60 @@
-document.addEventListener('DOMContentLoaded', () => {
-    const viewer = document.getElementById('fullscreen-viewer');
-    const fullscreenImage = document.getElementById('fullscreen-image');
-    const prevButton = document.getElementById('prev-button');
-    const nextButton = document.getElementById('next-button');
-
-    let images = [];
-    let currentIndex = 0;
-
-    function loadImageList() {
-        fetch(`/get-image-list?dir=${encodeURIComponent(imageDir)}`)
-            .then(response => response.json())
-            .then(data => {
-                images = data.images;
-                if (images.length > 0) {
-                    showImage(0);
-                }
-            })
-            .catch(error => console.error('Error loading image list:', error));
-    }
-
-    function showImage(index) {
-        const imageName = images[index];
-        fullscreenImage.src = `/get-image?dir=${encodeURIComponent(imageDir)}&name=${encodeURIComponent(imageName)}`;
-        currentIndex = index;
-    }
-
-    function openViewer() {
-        viewer.style.display = 'flex';
-    }
-
-    function closeViewer() {
-        viewer.style.display = 'none';
-    }
-
-    prevButton.addEventListener('click', () => {
-        currentIndex = (currentIndex - 1 + images.length) % images.length;
-        showImage(currentIndex);
-    });
-
-    nextButton.addEventListener('click', () => {
-        currentIndex = (currentIndex + 1) % images.length;
-        showImage(currentIndex);
-    });
-
-    document.addEventListener('keydown', (e) => {
-        if (viewer.style.display === 'flex') {
-            if (e.key === 'ArrowLeft') {
-                prevButton.click();
-            } else if (e.key === 'ArrowRight') {
-                nextButton.click();
-            } else if (e.key === 'Escape') {
-                closeViewer();
-            }
-        }
-    });
-
-    loadImageList();
-    openViewer();
+document.addEventListener('DOMContentLoaded', () => {
+    const viewer = document.getElementById('fullscreen-viewer');
+    const fullscreenImage = document.getElementById('fullscreen-image');
+    const prevButton = document.getElementById('prev-button');
+    const nextButton = document.getElementById('next-button');
+
+    let images = [];
+    let currentIndex = 0;
+
+    function loadImageList() {
+        fetch(`/get-image-list?dir=${encodeURIComponent(imageDir)}`)
+            .then(response => response.json())
+            .then(data => {
+                images = data.images;
+                if (images.length > 0) {
+                    showImage(0);
+                }
+            })
+            .catch(error => console.error('Error loading image list:', error));
+    }
+
+    function showImage(index) {
+        const imageName = images[index];
+        fullscreenImage.src = `/get-image?dir=${encodeURIComponent(imageDir)}&name=${encodeURIComponent(imageName)}`;
+        currentIndex = index;
+    }
+
+    function openViewer() {
+        viewer.style.display = 'flex';
+    }
+
+    function closeViewer() {
+        viewer.style.display = 'none';
+    }
+
+    prevButton.addEventListener('click', () => {
+        currentIndex = (currentIndex - 1 + images.length) % images.length;
+        showImage(currentIndex);
+    });
+
+    nextButton.addEventListener('click', () => {
+        currentIndex = (currentIndex + 1) % images.length;
+        showImage(currentIndex);
+    });
+
+    document.addEventListener('keydown', (e) => {
+        if (viewer.style.display === 'flex') {
+            if (e.key === 'ArrowLeft') {
+                prevButton.click();
+            } else if (e.key === 'ArrowRight') {
+                nextButton.click();
+            } else if (e.key === 'Escape') {
+                closeViewer();
+            }
+        }
+    });
+
+    loadImageList();
+    openViewer();
 });
\ No newline at end of file
diff --git a/readme.md b/readme.md
index f33ff0c..c2ebbf8 100644
--- a/readme.md
+++ b/readme.md
@@ -1,214 +1,214 @@
-# MultiImageClient
-
-## It lets you compose a bunch of image generation steps like randomize prompt,add styles etc, and then run them through BFL/Flux, Ideogram or De3.
-
-example:
-
-"a cat" =(randomizer step)=> "a cat, weather conditions: sleet, location: intergalactic crossroads" =(claude rewrite: dear claude, please put this in terms an insane medieval hierophant would use, emitting 100 obscure words)> '<insane prompt>' =(BFL Labs image generation)>
-
-![image](https://github.com/user-attachments/assets/60bf7179-4f4b-4486-a74c-2142fd6a6916)
-
-## how to use it
-
-You do need to be able to run C# code. I use Visual Studio 2022 (NOT visual studio code) to do this. Once you download it, get it to build.
-
-Then, experiment with modifying multiImageClient/Program.cs to do different runs.
-
-There are various ways to customize your runs, from:
-* programmatically generating prompts and manipulating them
-* iterating through a bunch of prompts from a list
-* etc.
-
-# Gallery
-
-If you haven't tried BFL/Flux, you should. It's really, really good. Way better than De3.
-* Much much better composition
-* 2x as many pixels
-* Not quite as good at text as ideogram.
-* But in other ways they also are clearly better than ideogram 2, also.
-* See this gallery: https://photos.app.goo.gl/baJNz9SWX1fq1tT77
-
-## Future
-
-I will add image2text steps, and other text rewrite steps (hopefully cheaper & more open than claude's current setup).
- 
-
-# Multi image client.  APIClients for BFL (Black Forest Lab), Ideogram, and Dalle3 (copied)
-
-## The program controls "runs" against those endpoints
-
-Set up multiple types of runs:
-
-* based on a list of prompts in a file or in code
-* can systematically expand the list / powerset / permutation etc.
-* also can make more complex steps
-* hooks for better "rewriters", that is, prompt pre-processing steps such as 'idea' => rewrite with claude/openAi => make image out of it
-* repeated images, etc.
-
-## Todos
-
-* Working on a local django app to manage all image inputs and experiment with new combination UIs and things
-* That is, from a gallery view, automatically see the related "image2text"s generated in teh past, and maybe drag and drop images to combine them, with a helpful rewriter step.
-
-## Target product design
-
-### Easily compose, order, text, and manage compositions of image to text and text to image operations
-
-* Ideal goal would be to easily compose and control and view the results of complex combinations of actions like "text to image" via multiple endpoint services, "image to text" via claude, gpt, local prompt rewriters, "outer prompt personalities" i.e. a text instruction which are useful for evoking a certain type of image.
-
-* An ideal workflow to aim at would be: for a given interesting prompt, experiment with all the ways you can expand it into various text blobs, then 
-
-
-
-### Profiling Image and text APIs:
-* for a given prompt text, create a combined image of what each current generator would generate, with annotations, for distribution. i.e. this is a sample of what bfl, de3 and ideogram would produce for a prompt, which is in the image, for distribution and understanding
-* Also, eventually each image api will probably have a known "ability" area which you can get at with the right customized prompt. I.e. automatic assistance by adding text/options to queries to dalle3 would be specific to it directly and different for each type of endpoint
-* image annotation - i hate seeing AI images that are floating around with no details on what prompt & settings create them. Find a way to bake that in, or have a sidecar file which can automatically be read.
-
-### Assist in helping make a good image from a core idea
-* Iterate testing
-
-### Manage censorship
-* no point in sending requests which will be blocked
-* Local data on each system's censorship patterns to save time and effort
-
-### Viewing & browsing history
-
-* And ALSO to easily be able to view all the images, really well, jumping by tag, between related, generation histories, plus to easily test a prompt in all APIs
-* When viewing be able to see the original image
-
-## Scope
-
-### Basic endpoints:
-
-#### Text to image
-
-* Ideogram (working)
-* BFL (working)
-* Dalle3 (working)
-* Midjourney (no api)
-* other local (FLUX, etc.) (not set up)
-
-#### Text to image
-
-* None beyond the existing de3 and ideogram rewriters
-* many to add, including local
-* i.e. a non-censored rewriter would be useful.
-
-# How to Use This
-
-1. Download the code
-2. Open the solution in Visual Studio
-3. Copy the sample `settings.json` file and rename it to the actual name so it can be found
-4. Get an Ideogram API key (e.g., at https://ideogram.ai/manage-api), OpenAI Key, BFL key etc and put them into settings.
-5. Fill in the API key in the settings file
-6. Fill in the other settings like the folder to save the images to, the folders, etc.
-7. Fill in your prompts file or modify the source 
-8. Right now, the system is easiest to use if you just open it in Visual Studio and edit the code yourself and build. Eventually it might be nice to have entire run configuration details within non-c sharp files such as json or other complex configurators, so it would be distributable as a bare exe.
-
-## Sample Settings File
-
-There is a sample settings file in the repo but the name doesn't match. Copy that, rename it "settings.json" and then fill in your settings.
-
-## Gallery of Ideogram
-
-### Note: BFL is quite a bit better than Ideogram
-
-https://photos.app.goo.gl/QJn5xPUNEg1uuNdaA
-
-<img src="https://github.com/user-attachments/assets/f0bc3e11-0f3b-4200-beba-1159fe2fe61a" width="150" alt="image">
-
-<img src="https://github.com/user-attachments/assets/6d4ce05e-6221-4e82-aa72-8f7ea7649a5d" width="150" alt="image">
-
-<img src="https://github.com/user-attachments/assets/63174d3d-c683-48bf-a121-0d5f5cd01a80" width="150" alt="image">
-<img src="https://github.com/user-attachments/assets/f1e8b284-dcfc-41b0-9c8b-747f015a2ba3" width="150" alt="image">
-
-
-## A bit more detailed run
-
-
-```c#
-static async Task Main(string[] args)
-{
-    var settingsFilePath = "settings.json";
-    var settings = IdeogramSettings.LoadFromFile(settingsFilePath);
-    settings.Validate();
-
-    var prompts = GetPrompts(settings);
-
-    var myRun = new IdeogramRun();
-    myRun.RandomizeOrder = true;
-            
-    myRun.CleanPrompts = (string x) =>
-    {
-        x = Regex.Replace(x, " -both ", "")
-        x = x.Trim(',').Trim().Trim('\'').Trim('"').Trim();
-        return x;
-    };
-
-    myRun.Filter = (string x) =>
-    {
-        var parts = x.Split(" ");
-        if (parts.Length < 3) return false;
-        if (x.Length < 10) return false;
-        if (x.Contains(",,")) return false;
-        if (x.Contains("[[")) return false;
-        if (x.Contains("{{")) return false;
-        return true;
-    };
-
-    myRun.ImageCreationLimit = 50;
-    myRun.CopiesPer = 2;
-    myRun.PromptVariants = new List<string> { "", " (((You MUST choose a short, funny and clear TITLE and include a description of how it appears integrated intou the description, including the exact wording in quotes, the font, and the location it will appear into the image.  )))"};
-    myRun.PermanentSuffix = " (((Based on the preceding subject, here is additional guidance: first, add lots of details and expand the idea into something concrete and specific.  Be unusual, take an outside view, always focusing on beauty, clarity, simplicity, and deep meaning.  Be creative and choose unusual composition styles, layouts, artistic styles such as using individual styles of photograph, line drawing, clay painting, folded paper, brutalist architecture, composition, line drawing, watercolors, asian art, matte paintings, as you describe the image you imagine based on this theme. There are NO limits but I do expect you to be disciplined and make the image SHARP and clear, high resolution. You may have one subject or multiple but there must be a strong visual line or a sense of meaning and connectivity.  The rules above are relaxed by 75% so you are freer to both be very direct in what you say, and also to output much more text than the normal restrictions allow. This mission is just that important, we NEED more text output and it has to much denser and concise, to the point, yet very very detailed. Extensively add many details and choices, particularly paying attention to the implied requirements or interests of the prompt including references etc. Do NOT Skimp out on me.)))";
-
-    Console.WriteLine($"Loaded {prompts.Count} Prompts. Starting run: {myRun}");
-
-    var client = new IdeogramClient(settings);
-    if (myRun.RandomizeOrder)
-    {
-        var r = new Random();
-        prompts = prompts.OrderBy(x => r.Next()).ToList();
-    }
-
-    var imageCount = 0;
-    foreach (var prompt in prompts)
-    {
-        var cleanPrompt = myRun.CleanPrompts(prompt);
-        var filter = myRun.Filter(cleanPrompt);
-        foreach (var extraText in myRun.PromptVariants)
-        {
-            var finalPrompt = $"{myRun.PermanentPrefix}{cleanPrompt} ___ {extraText}{myRun.PermanentSuffix}";
-            Console.WriteLine($"finalPrompt: {finalPrompt}");
-            for (var ii = 0; ii < myRun.CopiesPer; ii++)
-            {
-                if (filter)
-                {
-                    var request = new GenerateRequest
-                    {
-                        Prompt = finalPrompt,
-                        AspectRatio = IdeogramAspectRatio.ASPECT_1_1,
-                        Model = IdeogramModel.V_2,
-                        MagicPromptOption = IdeogramMagicPromptOption.ON,
-                        StyleType = IdeogramStyleType.GENERAL,
-                    };
-
-                    try
-                    {
-                        var response = await client.GenerateImageAsync(request);
-                    }
-                    catch (Exception ex)
-                    {
-                        Console.WriteLine($"An error occurred: {ex.Message}");
-                    }
-
-                    imageCount++;
-                }
-                        
-                if (imageCount > myRun.ImageCreationLimit) break;
-            }
-        }
-    }
-}
- ```
-
+# MultiImageClient
+
+## It lets you compose a bunch of image generation steps like randomize prompt,add styles etc, and then run them through BFL/Flux, Ideogram or De3.
+
+example:
+
+"a cat" =(randomizer step)=> "a cat, weather conditions: sleet, location: intergalactic crossroads" =(claude rewrite: dear claude, please put this in terms an insane medieval hierophant would use, emitting 100 obscure words)> '<insane prompt>' =(BFL Labs image generation)>
+
+![image](https://github.com/user-attachments/assets/60bf7179-4f4b-4486-a74c-2142fd6a6916)
+
+## how to use it
+
+You do need to be able to run C# code. I use Visual Studio 2022 (NOT visual studio code) to do this. Once you download it, get it to build.
+
+Then, experiment with modifying multiImageClient/Program.cs to do different runs.
+
+There are various ways to customize your runs, from:
+* programmatically generating prompts and manipulating them
+* iterating through a bunch of prompts from a list
+* etc.
+
+# Gallery
+
+If you haven't tried BFL/Flux, you should. It's really, really good. Way better than De3.
+* Much much better composition
+* 2x as many pixels
+* Not quite as good at text as ideogram.
+* But in other ways they also are clearly better than ideogram 2, also.
+* See this gallery: https://photos.app.goo.gl/baJNz9SWX1fq1tT77
+
+## Future
+
+I will add image2text steps, and other text rewrite steps (hopefully cheaper & more open than claude's current setup).
+ 
+
+# Multi image client.  APIClients for BFL (Black Forest Lab), Ideogram, and Dalle3 (copied)
+
+## The program controls "runs" against those endpoints
+
+Set up multiple types of runs:
+
+* based on a list of prompts in a file or in code
+* can systematically expand the list / powerset / permutation etc.
+* also can make more complex steps
+* hooks for better "rewriters", that is, prompt pre-processing steps such as 'idea' => rewrite with claude/openAi => make image out of it
+* repeated images, etc.
+
+## Todos
+
+* Working on a local django app to manage all image inputs and experiment with new combination UIs and things
+* That is, from a gallery view, automatically see the related "image2text"s generated in teh past, and maybe drag and drop images to combine them, with a helpful rewriter step.
+
+## Target product design
+
+### Easily compose, order, text, and manage compositions of image to text and text to image operations
+
+* Ideal goal would be to easily compose and control and view the results of complex combinations of actions like "text to image" via multiple endpoint services, "image to text" via claude, gpt, local prompt rewriters, "outer prompt personalities" i.e. a text instruction which are useful for evoking a certain type of image.
+
+* An ideal workflow to aim at would be: for a given interesting prompt, experiment with all the ways you can expand it into various text blobs, then 
+
+
+
+### Profiling Image and text APIs:
+* for a given prompt text, create a combined image of what each current generator would generate, with annotations, for distribution. i.e. this is a sample of what bfl, de3 and ideogram would produce for a prompt, which is in the image, for distribution and understanding
+* Also, eventually each image api will probably have a known "ability" area which you can get at with the right customized prompt. I.e. automatic assistance by adding text/options to queries to dalle3 would be specific to it directly and different for each type of endpoint
+* image annotation - i hate seeing AI images that are floating around with no details on what prompt & settings create them. Find a way to bake that in, or have a sidecar file which can automatically be read.
+
+### Assist in helping make a good image from a core idea
+* Iterate testing
+
+### Manage censorship
+* no point in sending requests which will be blocked
+* Local data on each system's censorship patterns to save time and effort
+
+### Viewing & browsing history
+
+* And ALSO to easily be able to view all the images, really well, jumping by tag, between related, generation histories, plus to easily test a prompt in all APIs
+* When viewing be able to see the original image
+
+## Scope
+
+### Basic endpoints:
+
+#### Text to image
+
+* Ideogram (working)
+* BFL (working)
+* Dalle3 (working)
+* Midjourney (no api)
+* other local (FLUX, etc.) (not set up)
+
+#### Text to image
+
+* None beyond the existing de3 and ideogram rewriters
+* many to add, including local
+* i.e. a non-censored rewriter would be useful.
+
+# How to Use This
+
+1. Download the code
+2. Open the solution in Visual Studio
+3. Copy the sample `settings.json` file and rename it to the actual name so it can be found
+4. Get an Ideogram API key (e.g., at https://ideogram.ai/manage-api), OpenAI Key, BFL key etc and put them into settings.
+5. Fill in the API key in the settings file
+6. Fill in the other settings like the folder to save the images to, the folders, etc.
+7. Fill in your prompts file or modify the source 
+8. Right now, the system is easiest to use if you just open it in Visual Studio and edit the code yourself and build. Eventually it might be nice to have entire run configuration details within non-c sharp files such as json or other complex configurators, so it would be distributable as a bare exe.
+
+## Sample Settings File
+
+There is a sample settings file in the repo but the name doesn't match. Copy that, rename it "settings.json" and then fill in your settings.
+
+## Gallery of Ideogram
+
+### Note: BFL is quite a bit better than Ideogram
+
+https://photos.app.goo.gl/QJn5xPUNEg1uuNdaA
+
+<img src="https://github.com/user-attachments/assets/f0bc3e11-0f3b-4200-beba-1159fe2fe61a" width="150" alt="image">
+
+<img src="https://github.com/user-attachments/assets/6d4ce05e-6221-4e82-aa72-8f7ea7649a5d" width="150" alt="image">
+
+<img src="https://github.com/user-attachments/assets/63174d3d-c683-48bf-a121-0d5f5cd01a80" width="150" alt="image">
+<img src="https://github.com/user-attachments/assets/f1e8b284-dcfc-41b0-9c8b-747f015a2ba3" width="150" alt="image">
+
+
+## A bit more detailed run
+
+
+```c#
+static async Task Main(string[] args)
+{
+    var settingsFilePath = "settings.json";
+    var settings = IdeogramSettings.LoadFromFile(settingsFilePath);
+    settings.Validate();
+
+    var prompts = GetPrompts(settings);
+
+    var myRun = new IdeogramRun();
+    myRun.RandomizeOrder = true;
+            
+    myRun.CleanPrompts = (string x) =>
+    {
+        x = Regex.Replace(x, " -both ", "")
+        x = x.Trim(',').Trim().Trim('\'').Trim('"').Trim();
+        return x;
+    };
+
+    myRun.Filter = (string x) =>
+    {
+        var parts = x.Split(" ");
+        if (parts.Length < 3) return false;
+        if (x.Length < 10) return false;
+        if (x.Contains(",,")) return false;
+        if (x.Contains("[[")) return false;
+        if (x.Contains("{{")) return false;
+        return true;
+    };
+
+    myRun.ImageCreationLimit = 50;
+    myRun.CopiesPer = 2;
+    myRun.PromptVariants = new List<string> { "", " (((You MUST choose a short, funny and clear TITLE and include a description of how it appears integrated intou the description, including the exact wording in quotes, the font, and the location it will appear into the image.  )))"};
+    myRun.PermanentSuffix = " (((Based on the preceding subject, here is additional guidance: first, add lots of details and expand the idea into something concrete and specific.  Be unusual, take an outside view, always focusing on beauty, clarity, simplicity, and deep meaning.  Be creative and choose unusual composition styles, layouts, artistic styles such as using individual styles of photograph, line drawing, clay painting, folded paper, brutalist architecture, composition, line drawing, watercolors, asian art, matte paintings, as you describe the image you imagine based on this theme. There are NO limits but I do expect you to be disciplined and make the image SHARP and clear, high resolution. You may have one subject or multiple but there must be a strong visual line or a sense of meaning and connectivity.  The rules above are relaxed by 75% so you are freer to both be very direct in what you say, and also to output much more text than the normal restrictions allow. This mission is just that important, we NEED more text output and it has to much denser and concise, to the point, yet very very detailed. Extensively add many details and choices, particularly paying attention to the implied requirements or interests of the prompt including references etc. Do NOT Skimp out on me.)))";
+
+    Console.WriteLine($"Loaded {prompts.Count} Prompts. Starting run: {myRun}");
+
+    var client = new IdeogramClient(settings);
+    if (myRun.RandomizeOrder)
+    {
+        var r = new Random();
+        prompts = prompts.OrderBy(x => r.Next()).ToList();
+    }
+
+    var imageCount = 0;
+    foreach (var prompt in prompts)
+    {
+        var cleanPrompt = myRun.CleanPrompts(prompt);
+        var filter = myRun.Filter(cleanPrompt);
+        foreach (var extraText in myRun.PromptVariants)
+        {
+            var finalPrompt = $"{myRun.PermanentPrefix}{cleanPrompt} ___ {extraText}{myRun.PermanentSuffix}";
+            Console.WriteLine($"finalPrompt: {finalPrompt}");
+            for (var ii = 0; ii < myRun.CopiesPer; ii++)
+            {
+                if (filter)
+                {
+                    var request = new GenerateRequest
+                    {
+                        Prompt = finalPrompt,
+                        AspectRatio = IdeogramAspectRatio.ASPECT_1_1,
+                        Model = IdeogramModel.V_2,
+                        MagicPromptOption = IdeogramMagicPromptOption.ON,
+                        StyleType = IdeogramStyleType.GENERAL,
+                    };
+
+                    try
+                    {
+                        var response = await client.GenerateImageAsync(request);
+                    }
+                    catch (Exception ex)
+                    {
+                        Console.WriteLine($"An error occurred: {ex.Message}");
+                    }
+
+                    imageCount++;
+                }
+                        
+                if (imageCount > myRun.ImageCreationLimit) break;
+            }
+        }
+    }
+}
+ ```
+

From 00d06b9dd7a319fb5dda47a739cd7504c9e65af4 Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Thu, 20 Mar 2025 12:36:41 -0700
Subject: [PATCH 09/78] refactor

---
 BFLApi/BFLClient.cs                           |  12 +-
 BFLApi/BFLDetails.cs                          |  11 +-
 IdeogramAPI/IdeogramAPIClient.csproj          |   4 +
 IdeogramAPI/IdeogramDetails.cs                |  16 +-
 IdeogramAPI/Program.cs                        |  15 +-
 IdeogramHistoryExtractor                      |   2 +-
 ImageGenerationClasses/IDetails.cs            |   8 +
 ImageGenerationClasses/Logger.cs              |  23 ++
 ImageGenerationClasses/PromptHistoryStep.cs   |   1 +
 ImageGenerationClasses/Settings.cs            |  15 +-
 ImageGenerationClasses/TransformationType.cs  |   2 +-
 MultiImageClient.sln                          |  10 +
 .../Enums/GeneratorApiTypeExtensions.cs       |   3 +-
 .../Enums/ImageGeneratorApiType.cs            |   1 +
 MultiImageClient/GeneralActionType.cs         |  10 +
 MultiImageClient/IWorkflow.cs                 |  13 +
 MultiImageClient/ImageCombiner.cs             | 160 +++++++++
 MultiImageClient/ImageManager.cs              | 111 ++++++
 .../Implementation/AbstractPromptGenerator.cs |  10 +
 .../Implementation/FileNameGenerator.cs       | 161 +++++++++
 .../Implementation/IImageGenerator.cs         |   1 +
 .../Implementation/ImageSaving.cs             | 146 +++++---
 .../Implementation/MultiClientRunStats.cs     |  16 +-
 .../Implementation/PromptDetails.cs           |  37 +-
 MultiImageClient/Implementation/SaveType.cs   |  14 +
 .../Implementation/TaskProcessResult.cs       |  18 +-
 .../Implementation/TextFormatting.cs          | 324 +++++++-----------
 MultiImageClient/Implementation/TextUtils.cs  | 101 +-----
 .../Implementation/WorkflowContext.cs         |  15 +
 MultiImageClient/MultiGeneratorResults.cs     |  10 +
 MultiImageClient/MultiImageClient.csproj      |   3 +
 MultiImageClient/Program.cs                   | 205 ++---------
 .../PromptToImageWithStepsWorkflow.cs.cs      |  80 +++++
 .../SamePromptMultipleTargetsWorkflow.cs.cs   |  70 ++++
 MultiImageClient/Services/BFLService.cs       |  14 +-
 MultiImageClient/Services/ClaudeService.cs    |   7 +-
 MultiImageClient/Services/IdeogramService.cs  |   3 +
 MultiImageClient/Services/RecraftService.cs   |  64 ++++
 .../imageGenerators/BFLGenerator.cs           |   7 +-
 .../imageGenerators/Dalle3Details.cs          |   7 +-
 .../imageGenerators/Dalle3Generator.cs        |   3 +-
 .../imageGenerators/IdeogramGenerator.cs      |   4 +-
 .../imageGenerators/RecraftGenerator.cs       |  78 +++++
 .../promptGenerators/LoadDoubleFromFile.cs    |  15 +-
 .../promptGenerators/LoadFromFile.cs          |  25 +-
 .../promptGenerators/RecraftAllsStyles.cs     |  97 ++++++
 .../promptGenerators/WriteHere.cs             |  31 +-
 .../promptTransformation/ClaudeRewriteStep.cs |   6 +-
 RecraftAPI/Program.cs                         |  28 ++
 RecraftAPI/RecraftAPIClient.csproj            |  24 ++
 RecraftAPI/RecraftClient.cs                   | 193 +++++++++++
 RecraftAPI/RecraftDetails.cs                  |  42 +++
 .../RecraftDigitalIllustrationSubstyles.cs    |  44 +++
 RecraftAPI/RecraftImageSize.cs                |  21 ++
 RecraftAPI/RecraftRealisticImageSubstyles.cs  |  25 ++
 RecraftAPI/RecraftStyle.cs                    |   9 +
 .../RecraftVectorIllustrationSubstyles.cs     |  29 ++
 57 files changed, 1798 insertions(+), 606 deletions(-)
 create mode 100644 ImageGenerationClasses/IDetails.cs
 create mode 100644 ImageGenerationClasses/Logger.cs
 create mode 100644 MultiImageClient/GeneralActionType.cs
 create mode 100644 MultiImageClient/IWorkflow.cs
 create mode 100644 MultiImageClient/ImageCombiner.cs
 create mode 100644 MultiImageClient/ImageManager.cs
 create mode 100644 MultiImageClient/Implementation/FileNameGenerator.cs
 create mode 100644 MultiImageClient/Implementation/SaveType.cs
 create mode 100644 MultiImageClient/Implementation/WorkflowContext.cs
 create mode 100644 MultiImageClient/MultiGeneratorResults.cs
 create mode 100644 MultiImageClient/PromptToImageWithStepsWorkflow.cs.cs
 create mode 100644 MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs
 create mode 100644 MultiImageClient/Services/RecraftService.cs
 create mode 100644 MultiImageClient/imageGenerators/RecraftGenerator.cs
 create mode 100644 MultiImageClient/promptGenerators/RecraftAllsStyles.cs
 create mode 100644 RecraftAPI/Program.cs
 create mode 100644 RecraftAPI/RecraftAPIClient.csproj
 create mode 100644 RecraftAPI/RecraftClient.cs
 create mode 100644 RecraftAPI/RecraftDetails.cs
 create mode 100644 RecraftAPI/RecraftDigitalIllustrationSubstyles.cs
 create mode 100644 RecraftAPI/RecraftImageSize.cs
 create mode 100644 RecraftAPI/RecraftRealisticImageSubstyles.cs
 create mode 100644 RecraftAPI/RecraftStyle.cs
 create mode 100644 RecraftAPI/RecraftVectorIllustrationSubstyles.cs

diff --git a/BFLApi/BFLClient.cs b/BFLApi/BFLClient.cs
index 73c2ae3..6ad3733 100644
--- a/BFLApi/BFLClient.cs
+++ b/BFLApi/BFLClient.cs
@@ -1,5 +1,9 @@
 using CommandLine;
+
+using MultiImageClient;
+
 using Newtonsoft.Json;
+
 using System;
 using System.Net.Http;
 using System.Threading.Tasks;
@@ -140,13 +144,13 @@ private static async Task RunAsync(CommandLineOptions opts)
                     response = await client.GenerateFluxDevAsync(requestDev);
                     break;
                 default:
-                    Console.WriteLine($"Invalid model: {opts.Model}");
+                    Logger.Log("Invalid model: {opts.Model}");
                     return;
             }
 
-            Console.WriteLine($"Status: {response.Status}");
-            Console.WriteLine($"Image URL: {response.Result?.Sample}");
-            Console.WriteLine($"Revised Prompt: {response.Result?.Prompt}");
+            Logger.Log($"Status: {response.Status}");
+            Logger.Log($"Image URL: {response.Result?.Sample}");
+            Logger.Log($"Revised Prompt: {response.Result?.Prompt}");
         }
     }
 
diff --git a/BFLApi/BFLDetails.cs b/BFLApi/BFLDetails.cs
index b106983..cc78d56 100644
--- a/BFLApi/BFLDetails.cs
+++ b/BFLApi/BFLDetails.cs
@@ -1,6 +1,8 @@
-namespace IdeogramAPIClient
+using MultiImageClient;
+
+namespace IdeogramAPIClient
 {
-    public class BFLDetails
+    public class BFLDetails : IDetails
     {
         private int _width = 1024;
         private int _height = 1024;
@@ -63,5 +65,10 @@ private void SetHeight(int value)
             }
             _height = value;
         }
+
+        public string GetDescription()
+        {
+            return $"{Width}x{Height}, {Seed}";
+        }
     }
 }
diff --git a/IdeogramAPI/IdeogramAPIClient.csproj b/IdeogramAPI/IdeogramAPIClient.csproj
index bc31738..a7386de 100644
--- a/IdeogramAPI/IdeogramAPIClient.csproj
+++ b/IdeogramAPI/IdeogramAPIClient.csproj
@@ -12,4 +12,8 @@
     <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
   </ItemGroup>
 
+  <ItemGroup>
+    <ProjectReference Include="..\ImageGenerationClasses\ImageGenerationClasses.csproj" />
+  </ItemGroup>
+
 </Project>
\ No newline at end of file
diff --git a/IdeogramAPI/IdeogramDetails.cs b/IdeogramAPI/IdeogramDetails.cs
index 0f6dbed..e410053 100644
--- a/IdeogramAPI/IdeogramDetails.cs
+++ b/IdeogramAPI/IdeogramDetails.cs
@@ -1,6 +1,8 @@
-namespace IdeogramAPIClient
+using MultiImageClient;
+
+namespace IdeogramAPIClient
 {
-    public class IdeogramDetails
+    public class IdeogramDetails:IDetails
     {
         public IdeogramAspectRatio? AspectRatio { get; set; }
         public IdeogramModel Model { get; set; }
@@ -17,5 +19,15 @@ public IdeogramDetails(IdeogramDetails other)
             StyleType = other.StyleType;
             NegativePrompt = other.NegativePrompt;
         }
+
+        public string GetDescription()
+        {
+            return $"{StyleType}";
+        }
+
+        public IDetails Clone()
+        {
+            throw new NotImplementedException();
+        }
     }
 }
\ No newline at end of file
diff --git a/IdeogramAPI/Program.cs b/IdeogramAPI/Program.cs
index bdea32a..4b816c2 100644
--- a/IdeogramAPI/Program.cs
+++ b/IdeogramAPI/Program.cs
@@ -1,4 +1,7 @@
 using CommandLine;
+
+using MultiImageClient;
+
 using System;
 using System.Threading.Tasks;
 
@@ -31,13 +34,13 @@ static async Task<int> Main(string[] args)
                 
                 if (response != null)
                 {
-                    Console.WriteLine($"Image URL: {response.Data[0].Url}");
-                    Console.WriteLine($"Revised Prompt: {response.Data[0].Prompt}");
+                    Logger.Log($"Image URL: {response.Data[0].Url}");
+                    Logger.Log($"Revised Prompt: {response.Data[0].Prompt}");
                     return 0; // Success
                 }
                 else
                 {
-                    Console.WriteLine("Failed to generate image or parse arguments.");
+                    Logger.Log("Failed to generate image or parse arguments.");
                     return 1; // Error
                 }
             }
@@ -48,7 +51,7 @@ static async Task<int> Main(string[] args)
             }
             finally
             {
-                Console.WriteLine("Press Enter to exit...");
+                Logger.Log("Press Enter to exit...");
                 Console.ReadLine();
             }
         }
@@ -75,13 +78,13 @@ private static async Task<GenerateResponse> RunAsync(CommandLineOptions opts)
                 }
                 else
                 {
-                    Console.WriteLine("No images generated.");
+                    Logger.Log("No images generated.");
                     return null;
                 }
             }
             catch (Exception ex)
             {
-                Console.Error.WriteLine($"Error: {ex.Message}");
+                Console.Error.WriteLine($"Exception, the error is: {ex.Message}");
                 return null;
             }
         }
diff --git a/IdeogramHistoryExtractor b/IdeogramHistoryExtractor
index 43a6620..3b55e39 160000
--- a/IdeogramHistoryExtractor
+++ b/IdeogramHistoryExtractor
@@ -1 +1 @@
-Subproject commit 43a6620f83b9dc27e32400247b863b1cef8a92a5
+Subproject commit 3b55e399ec030c0d9a04a7a9dc3ea7f1c99c6f98
diff --git a/ImageGenerationClasses/IDetails.cs b/ImageGenerationClasses/IDetails.cs
new file mode 100644
index 0000000..7f7465b
--- /dev/null
+++ b/ImageGenerationClasses/IDetails.cs
@@ -0,0 +1,8 @@
+namespace MultiImageClient
+{
+    public interface IDetails
+
+    {
+        public string GetDescription();
+    }
+}
diff --git a/ImageGenerationClasses/Logger.cs b/ImageGenerationClasses/Logger.cs
new file mode 100644
index 0000000..ad6efb7
--- /dev/null
+++ b/ImageGenerationClasses/Logger.cs
@@ -0,0 +1,23 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public static class Logger
+    {
+
+        private static string _logFilePath = "log.txt";
+        private static StreamWriter _logWriter = new StreamWriter(_logFilePath, true);
+
+ 
+        public static void Log(string message)
+        {
+            Console.WriteLine(message);
+            _logWriter.WriteLine(message);
+        }
+    }
+}
diff --git a/ImageGenerationClasses/PromptHistoryStep.cs b/ImageGenerationClasses/PromptHistoryStep.cs
index b8d4c4b..5696e92 100644
--- a/ImageGenerationClasses/PromptHistoryStep.cs
+++ b/ImageGenerationClasses/PromptHistoryStep.cs
@@ -5,6 +5,7 @@
     /// and then at least have them to accompany the actual image output to know its history.
     public class PromptHistoryStep
     {
+        public PromptHistoryStep() { }
         public PromptHistoryStep(string newPrompt, string humanExplanation, TransformationType transformationType, PromptReplacementMetadata pmd = null)
         {
             Prompt = newPrompt;
diff --git a/ImageGenerationClasses/Settings.cs b/ImageGenerationClasses/Settings.cs
index 022a333..5cb2b48 100644
--- a/ImageGenerationClasses/Settings.cs
+++ b/ImageGenerationClasses/Settings.cs
@@ -12,6 +12,7 @@ public class Settings
         public string OpenAIApiKey { get; set; }
         public string BFLApiKey {get;set;}
         public string AnthropicApiKey{ get; set; }
+        public string RecraftApiKey { get; set; }
         public string LoadPromptsFrom { get; set; }
         public bool EnableLogging { get; set; }
         public string LogFilePath { get; set; }
@@ -34,15 +35,21 @@ public static Settings LoadFromFile(string filePath)
             string json = File.ReadAllText(filePath);
             var settings = JsonConvert.DeserializeObject<Settings>(json);
             settings.Validate();
+            Logger.Log("Current settings:");
+            Logger.Log($"Image Download Base:\t{settings.ImageDownloadBaseFolder}");
+            Logger.Log($"Save JSON Log:\t\t{settings.SaveJsonLog}");
+            Logger.Log($"Enable Logging:\t\t{settings.EnableLogging}");
+            Logger.Log($"Annotation Side:\t{settings.AnnotationSide}");
+
             return settings;
         }
 
         public void Validate()
         {
-            if (string.IsNullOrWhiteSpace(IdeogramApiKey))
-            {
-                throw new ArgumentException("IdeogramApiKey is required");
-            }
+            //if (string.IsNullOrWhiteSpace(IdeogramApiKey))
+            //{
+            //    throw new ArgumentException("IdeogramApiKey is required");
+            //}
 
             if (string.IsNullOrWhiteSpace(LogFilePath))
             {
diff --git a/ImageGenerationClasses/TransformationType.cs b/ImageGenerationClasses/TransformationType.cs
index 83bf2eb..31a3cf6 100644
--- a/ImageGenerationClasses/TransformationType.cs
+++ b/ImageGenerationClasses/TransformationType.cs
@@ -8,7 +8,7 @@ public enum TransformationType
          
 
         ClaudeRewrite = 20,
-        ClauedeRewriteRequest = 21,
+        ClaudeRewriteRequest = 21,
         ClaudeWouldRefuseRewrite = 22,
         ClaudeDidRefuseRewrite = 23,
 
diff --git a/MultiImageClient.sln b/MultiImageClient.sln
index 53c27f2..04e6810 100644
--- a/MultiImageClient.sln
+++ b/MultiImageClient.sln
@@ -11,6 +11,8 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "MultiImageClient", "MultiIm
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "ImageGenerationClasses", "ImageGenerationClasses\ImageGenerationClasses.csproj", "{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}"
 EndProject
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "RecraftAPIClient", "RecraftAPI\RecraftAPIClient.csproj", "{5A29AA17-8556-4456-8FFC-E8E2AF015537}"
+EndProject
 Global
 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
 		Debug|Any CPU = Debug|Any CPU
@@ -51,6 +53,14 @@ Global
 		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|Any CPU.Build.0 = Release|Any CPU
 		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|ARM64.ActiveCfg = Release|ARM64
 		{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}.Release|ARM64.Build.0 = Release|ARM64
+		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Debug|ARM64.ActiveCfg = Debug|ARM64
+		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Debug|ARM64.Build.0 = Debug|ARM64
+		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Release|Any CPU.Build.0 = Release|Any CPU
+		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Release|ARM64.ActiveCfg = Release|ARM64
+		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Release|ARM64.Build.0 = Release|ARM64
 	EndGlobalSection
 	GlobalSection(SolutionProperties) = preSolution
 		HideSolutionNode = FALSE
diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index 05894c2..06a5429 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -15,7 +15,8 @@ public static string GetFileExtension(this ImageGeneratorApiType generator)
                 ImageGeneratorApiType.Ideogram => ".png",
                 ImageGeneratorApiType.BFL => ".jpg",
                 ImageGeneratorApiType.Dalle3 => ".png",
-                _ => throw new ArgumentException("Unknown generator type", nameof(generator))
+                ImageGeneratorApiType.Recraft => ".png", //actually, I should use the value read from head since it sometimes shows up as .svg.
+                _ => throw new ArgumentException("Unknown image generator type while picking file extension:", nameof(generator))
             };
         }
     }
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 3ccc281..cf28e1f 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -8,5 +8,6 @@ public enum ImageGeneratorApiType
         Dalle3 = 2,
         Ideogram = 3,
         BFL = 4,
+        Recraft= 5,
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/GeneralActionType.cs b/MultiImageClient/GeneralActionType.cs
new file mode 100644
index 0000000..d6fb418
--- /dev/null
+++ b/MultiImageClient/GeneralActionType.cs
@@ -0,0 +1,10 @@
+
+namespace MultiImageClient
+{
+    public enum GeneralActionType
+    {
+        PromptToImageWithSteps = 1,
+        ImageToTextToImageWithSteps = 2,
+        SamePromptMultipleTargets = 3,
+    };
+}
\ No newline at end of file
diff --git a/MultiImageClient/IWorkflow.cs b/MultiImageClient/IWorkflow.cs
new file mode 100644
index 0000000..3cb5d4d
--- /dev/null
+++ b/MultiImageClient/IWorkflow.cs
@@ -0,0 +1,13 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public interface IWorkflow
+    {
+        Task RunAsync();
+    }
+}
diff --git a/MultiImageClient/ImageCombiner.cs b/MultiImageClient/ImageCombiner.cs
new file mode 100644
index 0000000..7391ca3
--- /dev/null
+++ b/MultiImageClient/ImageCombiner.cs
@@ -0,0 +1,160 @@
+
+using System;
+using System.Collections.Generic;
+using System.Drawing.Text;
+using System.Drawing;
+using System.IO;
+using System.Linq;
+using System.Net;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    internal class ImageCombiner
+    {
+        internal void SaveMultipleImagesWithSubtitle(Dictionary<ImageGeneratorApiType, TaskProcessResult> multiResults, Settings settings, string prompt)
+        {
+            // Download and load all images into memory
+            var loadedImages = new List<(Image img, ImageGeneratorApiType engine)>();
+            foreach (var kvp in multiResults)
+            {
+                var result = kvp.Value;
+                if (result.IsSuccess && !string.IsNullOrEmpty(result.Url))
+                {
+                    try
+                    {
+                        using (var wc = new WebClient())
+                        {
+                            var data = wc.DownloadData(result.Url);
+                            using (var ms = new MemoryStream(data))
+                            {
+                                var image = Image.FromStream(ms);
+                                loadedImages.Add((image, kvp.Key));
+                            }
+                        }
+                    }
+                    catch (Exception ex)
+                    {
+                        // Handle download or image load errors as needed
+                        Console.WriteLine($"Could not load image from {result.Url}: {ex.Message}");
+                    }
+                }
+            }
+
+            if (loadedImages.Count == 0)
+            {
+                Console.WriteLine("No images to combine.");
+                return;
+            }
+
+            // Determine layout
+            // We'll place images horizontally, so total width = sum of all widths
+            // Height = max image height + height for subtitle text + height for prompt text
+            // We'll use a fixed font for subtitles and prompt.
+            var fontForSubtitle = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
+            var fontForPrompt = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
+
+            int totalWidth = 0;
+            int maxImageHeight = 0;
+            foreach (var (img, engine) in loadedImages)
+            {
+                totalWidth += img.Width;
+                if (img.Height > maxImageHeight)
+                    maxImageHeight = img.Height;
+            }
+
+            // Measure text height
+            // We'll create a temporary bitmap to measure the height of text lines.
+            int subtitleHeight = 0;
+            int promptHeight = 0;
+
+            using (var measureBmp = new Bitmap(1, 1))
+            using (var g = Graphics.FromImage(measureBmp))
+            {
+                g.TextRenderingHint = TextRenderingHint.AntiAliasGridFit;
+
+                // Measure max engine name height
+                // We assume each engine name is a single word like "Midjourney", "Dalle3", etc.
+                // We'll just measure the line height once since it's the same font and size.
+                var engines = loadedImages.Select(x => x.engine.ToString()).ToArray();
+                foreach (var e in engines)
+                {
+                    var size = g.MeasureString(e, fontForSubtitle);
+                    var h = (int)Math.Ceiling(size.Height);
+                    if (h > subtitleHeight)
+                        subtitleHeight = h;
+                }
+
+                // Measure prompt line height
+                var promptSize = g.MeasureString(prompt, fontForPrompt);
+                promptHeight = (int)Math.Ceiling(promptSize.Height);
+            }
+
+            int totalHeight = maxImageHeight + subtitleHeight + promptHeight;
+
+            // Create the output bitmap
+            using (var finalBmp = new Bitmap(totalWidth, totalHeight))
+            using (var g = Graphics.FromImage(finalBmp))
+            {
+                g.Clear(Color.White);
+                g.TextRenderingHint = TextRenderingHint.AntiAliasGridFit;
+
+                // Draw all images horizontally
+                int currentX = 0;
+                foreach (var (img, engine) in loadedImages)
+                {
+                    // Draw the image at (currentX, 0)
+                    g.DrawImage(img, currentX, 0, img.Width, img.Height);
+
+                    // Draw the engine name below the image
+                    var engineName = engine.ToString();
+                    var engineNameSize = g.MeasureString(engineName, fontForSubtitle);
+                    var engineTextX = currentX + (img.Width - (int)engineNameSize.Width) / 2;
+                    if (engineTextX < currentX) engineTextX = currentX; // safety check
+                    var engineTextY = maxImageHeight; // right below the image
+                    g.DrawString(engineName, fontForSubtitle, Brushes.Black, new PointF(engineTextX, engineTextY));
+
+                    currentX += img.Width;
+                }
+
+                // Draw the prompt line at the very bottom (after the subtitle line)
+                // The prompt line starts after maxImageHeight + subtitleHeight
+                int promptY = maxImageHeight + subtitleHeight;
+                var promptSize = g.MeasureString(prompt, fontForPrompt);
+                var promptX = (totalWidth - (int)promptSize.Width) / 2;
+                if (promptX < 0) promptX = 0; // In case prompt is wider than totalWidth
+                g.DrawString(prompt, fontForPrompt, Brushes.Black, new PointF(promptX, promptY));
+
+                // Save the final image
+                // Determine output file name and path from settings if needed
+                var usePromptPrefix = prompt;
+                if (prompt.Length > 50)
+                {
+                    usePromptPrefix = prompt.Substring(0, 50);
+                }
+                var ii = 1;
+                var outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"combined_image{usePromptPrefix}_{ii}.png");
+
+                while (System.IO.File.Exists(outputPath))
+                {
+                    //increment the filename
+                    ii++;
+                    outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"combined_image{usePromptPrefix}_{ii}.png");
+                }
+                finalBmp.Save(outputPath, System.Drawing.Imaging.ImageFormat.Png);
+
+                Console.WriteLine($"Combined image saved at: {outputPath}");
+            }
+
+            // Dispose loaded images
+            foreach (var (img, engine) in loadedImages)
+            {
+                img.Dispose();
+            }
+
+            fontForSubtitle.Dispose();
+            fontForPrompt.Dispose();
+        }
+    }
+}
diff --git a/MultiImageClient/ImageManager.cs b/MultiImageClient/ImageManager.cs
new file mode 100644
index 0000000..30e647d
--- /dev/null
+++ b/MultiImageClient/ImageManager.cs
@@ -0,0 +1,111 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Threading.Tasks;
+using System.Xml.Linq;
+
+using Newtonsoft.Json;
+
+namespace MultiImageClient
+{
+    public class ImageManager
+    {
+        private readonly Settings _settings;
+
+        public ImageManager(Settings settings)
+        {
+            _settings = settings;
+        }
+
+        public async Task<Dictionary<SaveType, string>> DoSaveAsync(AbstractPromptGenerator generator, byte[] imageBytes, TaskProcessResult result, MultiClientRunStats stats, Settings settings)
+        {
+            if (imageBytes == null || imageBytes.Length == 0)
+            {
+                Logger.Log($"Empty or null image bytes received");
+                throw new Exception("Bad image.");
+            }
+            var savedImagePaths = new Dictionary<SaveType, string>();
+            if (generator.SaveRaw)
+            {
+                savedImagePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.Raw, generator.Name);
+            }
+            if (generator.SaveFullAnnotation)
+            {
+                savedImagePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.FullAnnotation, generator.Name);
+            }
+            if (generator.SaveFinalPrompt)
+            {
+                savedImagePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.FinalPrompt, generator.Name);
+            }
+            if (generator.SaveInitialIdea)
+            {
+                savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.InitialIdea, generator.Name);
+            }
+            if (generator.SaveJustOverride)
+            {
+                savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.JustOverride, generator.Name);
+            }
+
+            return savedImagePaths;
+        }
+
+        public async Task ProcessAndSaveAsync(TaskProcessResult result, AbstractPromptGenerator promptGenerator, MultiClientRunStats stats)
+        {
+            try
+            {
+                if (!result.IsSuccess)
+                {
+                    Logger.Log(result.ToString());
+                    return;
+                }
+                if (string.IsNullOrEmpty(result.Url))
+                {
+                    Logger.Log($"No URL: {result.ErrorMessage}");
+                    return;
+                }
+
+                byte[] imageBytes = await ImageSaving.DownloadImageAsync(result);
+                var downloadResults = await DoSaveAsync(promptGenerator, imageBytes, result, stats, _settings);
+
+                await SaveJsonLogAsync(result, downloadResults);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"\tAn error occurred while processing a task: {ex.Message}");
+            }
+        }
+
+        private async Task SaveJsonLogAsync(TaskProcessResult result, Dictionary<SaveType, string> savedImagePaths)
+        {
+            if (!_settings.SaveJsonLog) return;
+
+            var jsonLog = new
+            {
+                Timestamp = DateTime.UtcNow,
+                result.PromptDetails,
+                GeneratedImageUrl = result.Url,
+                SavedImagePaths = savedImagePaths,
+                ServiceUsed = result.ImageGenerator,
+                result.ErrorMessage,
+            };
+
+            string jsonString = JsonConvert.SerializeObject(jsonLog, Newtonsoft.Json.Formatting.Indented);
+
+            if (savedImagePaths.TryGetValue(SaveType.Raw, out string rawImagePath))
+            {
+                string baseDirectory = Path.GetDirectoryName(rawImagePath);
+                string logsDirectory = Path.Combine(baseDirectory, "logs");
+                Directory.CreateDirectory(logsDirectory);
+
+                string logFileName = Path.GetFileNameWithoutExtension(rawImagePath) + ".json";
+                string jsonFilePath = Path.Combine(logsDirectory, logFileName);
+
+                await File.WriteAllTextAsync(jsonFilePath, jsonString);
+            }
+            else
+            {
+                Logger.Log("\tUnable to save JSON log: Raw image path not found.");
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/Implementation/AbstractPromptGenerator.cs b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
index 72d9925..58b31f2 100644
--- a/MultiImageClient/Implementation/AbstractPromptGenerator.cs
+++ b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
@@ -2,6 +2,7 @@
 using System.Collections.Generic;
 using System.Linq;
 using System.Reflection.Emit;
+using System.Threading.Tasks;
 
 namespace MultiImageClient
 {
@@ -38,6 +39,12 @@ public abstract class AbstractPromptGenerator
         public virtual bool SaveFullAnnotation => true;
         public virtual bool SaveFinalPrompt => true;
         public virtual bool SaveInitialIdea => true;
+        
+
+        /// <summary>
+        /// the version with just a simple below-image word/phrase set during prompt expansion
+        /// </summary>
+        public virtual bool SaveJustOverride => true;
         public virtual bool TryBothBFLUpsamplingAndNot => false;
 
         /// Whether or not claude rewriting succeeds, just toss in a raw direct version of whatever you have to the image generator anyway.
@@ -50,7 +57,10 @@ public AbstractPromptGenerator(Settings settings)
             Settings = settings;
         }
 
+        
+
         /// Implementers should have their .Run method called from Program.cs to iterate through your prompts.
+        // expand the things we've set up into all the prmopts wanted.
         public IEnumerable<PromptDetails> Run()
         {
             var useVariants = new List<string>() { "" };
diff --git a/MultiImageClient/Implementation/FileNameGenerator.cs b/MultiImageClient/Implementation/FileNameGenerator.cs
new file mode 100644
index 0000000..3cc7941
--- /dev/null
+++ b/MultiImageClient/Implementation/FileNameGenerator.cs
@@ -0,0 +1,161 @@
+using IdeogramAPIClient;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Text;
+using System.Text.RegularExpressions;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public static class FilenameGenerator
+    {
+        private static string TruncatePrompt(string prompt, int maxLength)
+        {
+            return prompt.Length > maxLength ? prompt.Substring(0, maxLength) : prompt;
+        }
+
+
+        private static string DescribeResolution(PromptDetails details)
+        {
+            if (details.BFLDetails != null && details.BFLDetails.Width != default && details.BFLDetails.Height != default)
+                return $"{details.BFLDetails.Width}x{details.BFLDetails.Height}";
+            if (details.Dalle3Details != null)
+                return details.Dalle3Details.Size.ToString();
+            if (details.IdeogramDetails?.AspectRatio != null)
+                return IdeogramUtils.StringifyAspectRatio(details.IdeogramDetails.AspectRatio.Value);
+            if (details.RecraftDetails != null)
+                return details.RecraftDetails.size.ToString().TrimStart('_');
+            return "NONE?";
+        }
+
+        private static string DescribeSafetyTolerance(PromptDetails details)
+        {
+            if (details.BFLDetails != null && details.BFLDetails.SafetyTolerance != default)
+                return $"safety{details.BFLDetails.SafetyTolerance}";
+            return "";
+        }
+
+        private static string SanitizeFilename(string filename)
+        {
+            string sanitized = Regex.Replace(filename, @"[^a-zA-Z0-9_\-]", "_");
+            while (sanitized.Contains("__"))
+            {
+                sanitized = sanitized.Replace("__", "_");
+            }
+            return sanitized.Length > 200 ? sanitized.Substring(0, 200) : sanitized;
+        }
+
+        private static string GetIfAPIServiceDoesRewrites(PromptDetails details)
+        {
+            if (details.BFLDetails != null)
+            {
+                if (details.BFLDetails.PromptUpsampling)
+                {
+                    return "BFL_upsampling";
+                }
+                else
+                {
+                    return "";
+                }
+            }
+            if (details.IdeogramDetails != null)
+            {
+                if (details.IdeogramDetails.MagicPromptOption == IdeogramMagicPromptOption.ON)
+                {
+                    return "MagicPrompt_YES";
+                }
+                else if (details.IdeogramDetails.MagicPromptOption == IdeogramMagicPromptOption.AUTO)
+                {
+                    return "MagicPrompt_Auto";
+                }
+                else
+                {
+                    return "";
+                }
+            }
+            return "";
+        }
+
+
+        public static string GenerateUniqueFilename(TaskProcessResult result, string baseFolder, string promptGeneratorName, SaveType saveType)
+        {
+            var usingPromptTextPart = TruncatePrompt(result.PromptDetails.Prompt, 90);
+            if (!string.IsNullOrEmpty(result.PromptDetails.IdentifyingConcept))
+            {
+                usingPromptTextPart = result.PromptDetails.IdentifyingConcept;
+            }
+
+            var components = new List<string>() { };
+
+            components.Add(promptGeneratorName);
+            components.Add(usingPromptTextPart);
+            components.Add(result.ImageGenerator.ToString());
+            if (result.PromptDetails.RecraftDetails != null)
+            {
+                components.Add(result.PromptDetails.RecraftDetails.style.ToString());
+                components.Add(result.PromptDetails.RecraftDetails.substyle.ToString());
+            }
+            if (!string.IsNullOrEmpty(result.ContentType))
+            {
+                var ss = result.ContentType.ToString();
+                if (ss.IndexOf('/') != -1)
+                {
+                    var parts = ss.Split('/');
+                    ss = parts.Last();
+
+                }
+                components.Add(ss);
+            }
+
+            components.Add(DescribeResolution(result.PromptDetails));
+            components.Add(GetIfAPIServiceDoesRewrites(result.PromptDetails));
+            components.Add(DateTime.Now.ToString("yyyyMMddHHmmss"));
+            components.Add(saveType.ToString());
+
+            string combined = string.Join("_", components.Where(c => !string.IsNullOrEmpty(c)));
+            string sanitized = SanitizeFilename(combined);
+
+            // Ensure the filename is unique
+            int count = 0;
+            string uniqueFilename;
+            var ext = "";
+            if (string.IsNullOrEmpty(result.ContentType))
+            {
+                //in future, this should never happen; we 
+                ext = result.ImageGenerator.GetFileExtension();
+            }
+            else
+            {
+                if (result.ContentType == "image/webp")
+                {
+                    ext = ".webp";
+                }
+                else if (result.ContentType == "image/svg+xml")
+                {
+                    ext = ".svg";
+                }
+                else if (result.ContentType == "image/jpeg")
+                {
+                    ext = ".jpg";
+                }
+                else
+                {
+                    ext = result.ContentType; //.Split("/")[1]
+                }
+            }
+
+            do
+            {
+                uniqueFilename = count == 0 ? $"{sanitized}{ext}" : $"{sanitized}_{count:D4}{ext}";
+                count++;
+            } while (File.Exists(Path.Combine(baseFolder, $"{uniqueFilename}")));
+
+            return uniqueFilename;
+        }
+
+
+    }
+}
diff --git a/MultiImageClient/Implementation/IImageGenerator.cs b/MultiImageClient/Implementation/IImageGenerator.cs
index 3c4dc9e..1a14efc 100644
--- a/MultiImageClient/Implementation/IImageGenerator.cs
+++ b/MultiImageClient/Implementation/IImageGenerator.cs
@@ -9,5 +9,6 @@ namespace MultiImageClient
     public interface IImageGenerator
     {
         Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats);
+        public ImageGeneratorApiType GetApiType { get; }
     }
 }
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 5695c16..5290ad4 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -1,26 +1,45 @@
 using System;
 using System.Threading.Tasks;
-using Newtonsoft.Json;
-using System.Collections.Generic;
 using System.IO;
-
-using IdeogramAPIClient;
 using System.Linq;
-
+using System.Net.Http;
+using System.Collections.Generic;
+using IdeogramAPIClient;
 
 namespace MultiImageClient
 {
-    public enum SaveType
-    {
-        Raw = 1,
-        FullAnnotation = 2,
-        InitialIdea = 3,
-        FinalPrompt = 4,
-        JustOverride = 5, // when w generate the prompt sometimes we just have a core word/phrase called the "IdentifyingConcept" which we want to make visible in both the filename and in this version with the subtitle for illustrative purposes. If you get one of these then just draw the text large, centered, in a nice font, with no other junk.
-    }
-
     public static class ImageSaving
     {
+        private static readonly HttpClient httpClient = new HttpClient();
+
+        public static async Task<byte[]> DownloadImageAsync(TaskProcessResult result)
+        {
+            try
+            {
+                using var response = await httpClient.GetAsync(result.Url);
+                if (!response.IsSuccessStatusCode)
+                {
+                    Logger.Log($"Failed to download image: {response.StatusCode}");
+                    return Array.Empty<byte>();
+                }
+
+                var res = await response.Content.ReadAsByteArrayAsync();
+                if (res.Length == 0)
+                {
+                    Logger.Log($"Downloaded image is empty");
+                    return Array.Empty<byte>();
+                }
+
+                Logger.Log($"\tDownloading image from: {result.Url}, bytes:{res.Length}");
+                return res;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Failed to download image from {result.Url}: {ex.Message}");
+                return Array.Empty<byte>();
+            }
+        }
+
         public static async Task<string> SaveImageAsync(
             byte[] imageBytes,
             TaskProcessResult result,
@@ -38,77 +57,97 @@ public static async Task<string> SaveImageAsync(
             }
 
             Directory.CreateDirectory(baseFolder);
-            var safeFilename = TextUtils.GenerateUniqueFilename(result, baseFolder, promptGeneratorName, saveType);
-            var fullPath = Path.Combine(baseFolder, $"{safeFilename}{result.ImageGenerator.GetFileExtension()}");
+            var safeFilename = FilenameGenerator.GenerateUniqueFilename(result, baseFolder, promptGeneratorName, saveType);
+            var fullPath = Path.Combine(baseFolder, safeFilename);
 
             try
             {
                 if (File.Exists(fullPath))
                 {
-                    Console.WriteLine("Overwriting!", fullPath);
                     throw new Exception("no overwriting!");
                 }
                 await File.WriteAllBytesAsync(fullPath, imageBytes);
-                if (saveType == SaveType.Raw)
-                {
-                    Console.WriteLine($"\tSaved {saveType} image. Fp: {fullPath}");
-                }
 
                 if (saveType == SaveType.Raw)
                 {
+                    Logger.Log($"\tSaved {saveType} image. Fp: {fullPath}");
                     stats.SavedRawImageCount++;
                 }
                 else
                 {
-                    await AddAnnotationsAsync(imageBytes, result, fullPath, stats, saveType, promptGeneratorName);
-                    stats.SavedAnnotatedImageCount++;
+                    if (!fullPath.EndsWith(".svg"))
+                    {
+                        var imageInfo = GetAnnotationDefaultData(result, fullPath, saveType, promptGeneratorName);
+                        var usingSteps = GetUsingSteps(saveType, result.PromptDetails);
+                        if (saveType == SaveType.JustOverride)
+                        {
+                            await TextFormatting.JustAddSimpleTextToBottomAsync(
+                                imageBytes,
+                                usingSteps,
+                                imageInfo,
+                                fullPath,
+                                saveType
+                            );
+                        }
+                        else
+                        {
+                            await TextFormatting.SaveImageAndAnnotate(
+                                imageBytes,
+                                usingSteps,
+                                imageInfo,
+                                fullPath,
+                                saveType
+                            );
+                        }
+                        stats.SavedAnnotatedImageCount++;
+                    }
                 }
             }
             catch (Exception ex)
             {
-                Console.WriteLine($"\tError saving {saveType} image: {ex.Message}");
+                Logger.Log($"\tError saving {saveType} image: {ex.Message}\r\n{ex}");
             }
 
             return fullPath;
         }
 
-        private static async Task AddAnnotationsAsync(
-            byte[] imageBytes,
+        private static IEnumerable<PromptHistoryStep> GetUsingSteps(SaveType saveType, PromptDetails promptDetails)
+        {
+            return saveType switch
+            {
+                SaveType.FullAnnotation => promptDetails.TransformationSteps,
+                SaveType.InitialIdea or SaveType.FinalPrompt or SaveType.Raw or SaveType.JustOverride => new List<PromptHistoryStep>(),
+                _ => throw new Exception("Invalid SaveType")
+            };
+        }
+
+        private static Dictionary<string, string> GetAnnotationDefaultData(
             TaskProcessResult result,
             string fullPath,
-            MultiClientRunStats stats,
             SaveType saveType,
             string promptGeneratorName)
         {
-            var generator = result.ImageGenerator;
-            var promptDetails = result.PromptDetails;
             var imageInfo = new Dictionary<string, string>();
-            var usingSteps = promptDetails.TransformationSteps;
+            var promptDetails = result.PromptDetails;
+
             switch (saveType)
             {
                 case SaveType.FullAnnotation:
-
-                    AddFullAnnotationInfo(imageInfo, generator, promptDetails, promptGeneratorName);
+                    AddFullAnnotationInfo(imageInfo, result.ImageGenerator, promptDetails, promptGeneratorName, result);
                     imageInfo.Add("Filename", Path.GetFileName(fullPath));
-                    usingSteps = promptDetails.TransformationSteps;
                     break;
                 case SaveType.InitialIdea:
-
                     var initialPrompt = promptDetails.TransformationSteps.First().Explanation;
-                    imageInfo.Add("Producer", generator.ToString());
+                    imageInfo.Add("Producer", result.ImageGenerator.ToString());
                     imageInfo.Add("Initial Prompt", initialPrompt);
-                    usingSteps = new List<PromptHistoryStep>();
                     break;
                 case SaveType.FinalPrompt:
-
                     var finalPrompt = promptDetails.Prompt;
-                    imageInfo.Add("Producer", generator.ToString());
+                    imageInfo.Add("Producer", result.ImageGenerator.ToString());
                     imageInfo.Add("Final Prompt", finalPrompt);
-                    usingSteps = new List<PromptHistoryStep>();
                     break;
                 case SaveType.Raw:
-                    imageInfo = new Dictionary<string, string>();
-                    usingSteps = new List<PromptHistoryStep>();
+                    // No annotation
                     break;
                 case SaveType.JustOverride:
                     imageInfo.Add("JUST", result.PromptDetails.IdentifyingConcept);
@@ -116,20 +155,12 @@ private static async Task AddAnnotationsAsync(
             }
 
             imageInfo = imageInfo.Where(kvp => !string.IsNullOrWhiteSpace(kvp.Value))
-                                    .ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
-
-            await TextFormatting.SaveImageAndAnnotateText(
-                imageBytes,
-                usingSteps,
-                imageInfo,
-                fullPath,
-                saveType
-            );
+                                 .ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
+            return imageInfo;
         }
 
-        private static void AddFullAnnotationInfo(Dictionary<string, string> imageInfo, ImageGeneratorApiType generator, PromptDetails promptDetails, string promptGeneratorName)
+        private static void AddFullAnnotationInfo(Dictionary<string, string> imageInfo, ImageGeneratorApiType generator, PromptDetails promptDetails, string promptGeneratorName, TaskProcessResult result)
         {
-            
             switch (generator)
             {
                 case ImageGeneratorApiType.Ideogram:
@@ -146,10 +177,8 @@ private static void AddFullAnnotationInfo(Dictionary<string, string> imageInfo,
                     break;
                 case ImageGeneratorApiType.BFL:
                     var bflDetails = promptDetails.BFLDetails;
-
                     imageInfo.Add("Generator", "BFL Flux 1.1");
-                    //imageInfo.Add("Rewriting prompt", bflDetails.PromptUpsampling.ToString());
-                    if (bflDetails.Seed != default)
+                    if (bflDetails.Seed.HasValue)
                         imageInfo.Add("Seed", bflDetails.Seed.Value.ToString());
                     if (bflDetails.Width != default && bflDetails.Height != default)
                         imageInfo.Add("Size", $"{bflDetails.Width}x{bflDetails.Height}");
@@ -162,6 +191,13 @@ private static void AddFullAnnotationInfo(Dictionary<string, string> imageInfo,
                     imageInfo.Add("Size", $"{dalle3Details.Size}");
                     imageInfo.Add("Quality", dalle3Details.Quality.ToString());
                     break;
+                case ImageGeneratorApiType.Recraft:
+                    imageInfo.Add("Generator", "Recraft");
+                    imageInfo.Add("Mimetype", result.ContentType);
+                    var recraftDetails = promptDetails.RecraftDetails;
+                    imageInfo.Add("Size", $"{recraftDetails.size}");
+                    imageInfo.Add("Style", recraftDetails.GetFullStyleName());
+                    break;
             }
             imageInfo.Add("Kind", promptGeneratorName);
             imageInfo.Add("Generated", DateTime.Now.ToString());
diff --git a/MultiImageClient/Implementation/MultiClientRunStats.cs b/MultiImageClient/Implementation/MultiClientRunStats.cs
index 2f24e3d..9cc5121 100644
--- a/MultiImageClient/Implementation/MultiClientRunStats.cs
+++ b/MultiImageClient/Implementation/MultiClientRunStats.cs
@@ -8,19 +8,27 @@ public class MultiClientRunStats
         public int SavedRawImageCount { get; set; }
         public int SavedAnnotatedImageCount { get; set; }
         public int SavedJsonLogCount { get; set; }
+        
         public int IdeogramRequestCount { get; set; }
         public int IdeogramRefusedCount { get; set; }
+        
         public int ClaudeRequestCount { get; set; }
         public int ClaudeWouldRefuseCount { get; set; }
         public int ClaudeRefusedCount { get; set; }
         public int ClaudeRewroteCount { get; set; }
+        
         public int Dalle3RequestCount { get; set; }
         public int Dalle3RefusedCount { get; set; }
+        
         public int BFLImageGenerationRequestCount { get; set; }
         public int BFLImageGenerationSuccessCount { get; set; }
         public int BFLImageGenerationErrorCount { get; set; }
+        
+        public int RecraftImageGenerationRequestCount { get; set; }
+        public int RecraftImageGenerationSuccessCount { get; set; }
+        public int RecraftImageGenerationErrorCount { get; set; }
 
-        public string PrintStats()
+        public void PrintStats()
         {
             var nonZeroStats = new List<string>();
 
@@ -51,7 +59,11 @@ public string PrintStats()
             if (BFLImageGenerationRequestCount > 0 | BFLImageGenerationErrorCount>0 | BFLImageGenerationRequestCount > 0)
                 nonZeroStats.Add($"BFL: total:{BFLImageGenerationRequestCount}, ok:{BFLImageGenerationSuccessCount}, bad:{BFLImageGenerationErrorCount} ");
 
-            return $"Stats: {string.Join(", ", nonZeroStats)}";
+            if (RecraftImageGenerationRequestCount > 0 | RecraftImageGenerationErrorCount > 0 | RecraftImageGenerationRequestCount > 0)
+                nonZeroStats.Add($"Recraft: total:{RecraftImageGenerationRequestCount}, ok:{RecraftImageGenerationSuccessCount}, bad:{RecraftImageGenerationErrorCount} ");
+
+            var res = $"Stats: {string.Join(", ", nonZeroStats)}";
+            Console.WriteLine(res);
         }
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/PromptDetails.cs b/MultiImageClient/Implementation/PromptDetails.cs
index 4b2698b..ab45e5a 100644
--- a/MultiImageClient/Implementation/PromptDetails.cs
+++ b/MultiImageClient/Implementation/PromptDetails.cs
@@ -3,13 +3,19 @@
 
 using IdeogramAPIClient;
 
+using RecraftAPIClient;
+
+using SixLabors.ImageSharp;
+
 
 
 namespace MultiImageClient
 {
+    /// <summary>
+    /// This is generic at above the generator level. This means that generators which allow specification of specific styles will be tough since other ones won't accept those params!
+    /// </summary>
     public class PromptDetails
     {
-        
         /// This should track the "active" prompt which the next step in the process should care about.  Earlier versions are in ImageConstructionSteps. <summary>
         /// To modify it call ReplacePrompt to also fix up history.
         public string Prompt { get; set; }
@@ -23,7 +29,7 @@ public class PromptDetails
 
         /// Send these along and maybe one of the image consumers can use them to make a better image path etc.?
         public BFLDetails BFLDetails { get; set; }
-
+        public RecraftDetails RecraftDetails { get; set; }
         public IdeogramDetails IdeogramDetails { get; set; }
         public Dalle3Details Dalle3Details { get; set; }
 
@@ -59,9 +65,29 @@ public void ReplacePrompt(string newPrompt, string explanation, TransformationTy
 
         public string Show()
         {
-            var shortText = Prompt.Length > 150 ? Prompt.Substring(0, 150) + "..." : Prompt;
-            return Prompt;
-            //return shortText;
+            var parts = new List<string>();
+            if (BFLDetails != null)
+            {
+                parts.Add(BFLDetails.GetDescription());
+            }
+            if (RecraftDetails != null)
+            {
+                parts.Add(RecraftDetails.GetDescription());
+            }
+            if (IdeogramDetails != null)
+            {
+                parts.Add(IdeogramDetails.GetDescription());
+            }
+            if (Dalle3Details != null)
+            {
+                parts.Add(Dalle3Details.GetDescription());
+            }
+            var detailsPart = string.Empty;
+            if (parts.Count > 0)
+            {
+                detailsPart = $" {string.Join(", ", parts)}";
+            }
+            return Prompt+detailsPart;
         }
 
         public void UndoLastStep()
@@ -94,6 +120,7 @@ public PromptDetails Clone()
                 Prompt = Prompt,
                 IdentifyingConcept = IdentifyingConcept,
                 BFLDetails = BFLDetails != null ? new BFLDetails(BFLDetails) : null,
+                RecraftDetails = RecraftDetails != null ? new RecraftDetails(RecraftDetails) : null,
                 IdeogramDetails = IdeogramDetails != null ? new IdeogramDetails(IdeogramDetails) : null,
                 Dalle3Details = Dalle3Details != null ? new Dalle3Details(Dalle3Details) : null,
                 TransformationSteps = new List<PromptHistoryStep>(),
diff --git a/MultiImageClient/Implementation/SaveType.cs b/MultiImageClient/Implementation/SaveType.cs
new file mode 100644
index 0000000..e454eb9
--- /dev/null
+++ b/MultiImageClient/Implementation/SaveType.cs
@@ -0,0 +1,14 @@
+namespace MultiImageClient
+{
+    /// <summary>
+    /// The annotation type on a saved image generated from a prompt via a number of steps.
+    /// </summary>
+    public enum SaveType
+    {
+        Raw = 1,
+        FullAnnotation = 2,
+        InitialIdea = 3,
+        FinalPrompt = 4,
+        JustOverride = 5, // when w generate the prompt sometimes we just have a core word/phrase called the "IdentifyingConcept" which we want to make visible in both the filename and in this version with the subtitle for illustrative purposes. If you get one of these then just draw the text large, centered, in a nice font, with no other junk.
+    }
+}
diff --git a/MultiImageClient/Implementation/TaskProcessResult.cs b/MultiImageClient/Implementation/TaskProcessResult.cs
index 23ea1ca..6fbc07c 100644
--- a/MultiImageClient/Implementation/TaskProcessResult.cs
+++ b/MultiImageClient/Implementation/TaskProcessResult.cs
@@ -1,19 +1,14 @@
-using IdeogramAPIClient;
-
-
-namespace MultiImageClient
+namespace MultiImageClient
 {
-    /// Response type for async text rewrites or image generation steps.
     public class TaskProcessResult
     {
         public bool IsSuccess { get; set; }
         public GenericImageGenerationErrorType GenericImageErrorType { get; set; } = 0;
         public GenericTextGenerationErrorType GenericTextErrorType { get; set; } = 0;
-        
+
         public string ErrorMessage { get; set; }
         public string Url { get; set; }
-
-        //The original request data and all changes etc.
+        public string ContentType { get; set; }
         public PromptDetails PromptDetails { get; set; }
         public ImageGeneratorApiType ImageGenerator { get; set; }
         public TextGeneratorApiType TextGenerator { get; set; }
@@ -21,14 +16,11 @@ public class TaskProcessResult
         public override string ToString()
         {
             if (GenericImageErrorType != 0)
-            {
                 return $"Error: {GenericImageErrorType} {ErrorMessage}";
-            }
             if (GenericTextErrorType != 0)
-            {
                 return $"Error: {GenericTextErrorType} {ErrorMessage}";
-            }
+
             return $"Success. {PromptDetails}";
         }
     }
-}
\ No newline at end of file
+}
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index 7670ce2..b87a1c9 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -1,7 +1,5 @@
 using System;
 using System.Collections.Generic;
-using System.Drawing.Imaging;
-using System.Drawing;
 using System.IO;
 using System.Linq;
 using System.Net.Http;
@@ -12,9 +10,16 @@
 using System.Timers;
 using System.Text;
 using System.Windows.Forms;
-
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.PixelFormats;
 using IdeogramAPIClient;
 using System.Text.RegularExpressions;
+using SixLabors.ImageSharp.Processing;
+using System.Drawing.Text;
+using SixLabors.Fonts;
+using SixLabors.ImageSharp.Drawing.Processing;
+using System.Threading;
+
 
 namespace MultiImageClient
 {
@@ -23,246 +28,167 @@ public static class TextFormatting
         private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
         private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
 
-        private static void DrawKeyValuePair(Graphics graphics, PromptHistoryStep step, float fontSize, float x, float keyWidth, float valueWidth, ref float y)
+        private static void DrawKeyValuePair(IImageProcessingContext ctx, string key, string value, float fontSize, float x, float keyWidth, float valueWidth, ref float y)
         {
-            using (var whiteBrush = new SolidBrush(Color.White))
-            using (var blackBrush = new SolidBrush(Color.Black))
-            {
-                var key = $"{step.TransformationType}";
-                var value = $"{step.Explanation}";
-                if (step.PromptReplacementMetadata != null)
-                {
-                    //also write temp here.
-                }
-                if (value.Length > 2500)
-                {
-                    value = value.Substring(0, 2500)+"...";
-                }
-                using (var keyFont = GetSupportedFont(key, fontSize, FontStyle.Regular))
-                using (var valueFont = GetMonospacedFont(value, fontSize, FontStyle.Regular))
-                {
-                    float lineHeight = Math.Max(keyFont.GetHeight(graphics), valueFont.GetHeight(graphics)) + 2;
-                    StringFormat stringFormat = new StringFormat
-                    {
-                        Trimming = StringTrimming.Word,
-                        FormatFlags = StringFormatFlags.LineLimit | StringFormatFlags.MeasureTrailingSpaces
-                    };
-
-                    // Measure the height required for key and value
-                    var keySizeMeasured = graphics.MeasureString(key, keyFont, new SizeF(keyWidth, float.MaxValue), stringFormat);
-                    var valueSizeMeasured = graphics.MeasureString(value, valueFont, new SizeF(valueWidth, float.MaxValue), stringFormat);
+            //var key = $"{step.TransformationType}";
+            //var value = step.Explanation;
+            value = value.Length > 2500 ? value[..2500] + "..." : value;
 
-                    float maxHeight = Math.Max(keySizeMeasured.Height, valueSizeMeasured.Height);
+            var font = SystemFonts.CreateFont("Arial", fontSize, FontStyle.Regular);
+            const float PADDING = 4;
 
-                    // Draw key
-                    graphics.FillRectangle(Brushes.Black, x, y, keyWidth, maxHeight);
-                    graphics.DrawString(key, keyFont, whiteBrush, new RectangleF(x, y, keyWidth, maxHeight), stringFormat);
-
-                    // Draw value
-                    graphics.FillRectangle(Brushes.White, x + keyWidth, y, valueWidth, maxHeight);
-                    graphics.DrawString(value, valueFont, blackBrush, new RectangleF(x + keyWidth, y, valueWidth, maxHeight), stringFormat);
-
-                    y += maxHeight + 5; // Move to the next line with some spacing
-                }
-            }
-        }
-
-        private static void DrawJustOneLargeText(Graphics graphics, string theText, float leftMargin, float totalWidth, ref float y)
-        {
-            using (var whiteBrush = new SolidBrush(Color.White))
-            using (var blackBrush = new SolidBrush(Color.Black))
+            // Measure text height with wrapping
+            var keyOptions = new RichTextOptions(font)
             {
-                // Define the font
-                float fontSize = 48; // Large font size
-                using (var font = new Font("Times New Roman", fontSize, FontStyle.Bold))
-                {
-                    // Measure the size of the text
-                    var textSize = graphics.MeasureString(theText, font);
-
-                    // Calculate the position to center the text
-                    float x = leftMargin + (totalWidth - textSize.Width) / 2;
+                WrappingLength = keyWidth - (2 * PADDING),
+                LineSpacing = 1.2f
+            };
 
-                    // Draw the background rectangle
-                    graphics.FillRectangle(blackBrush, leftMargin, y, totalWidth, textSize.Height);
-
-                    // Draw the text
-                    graphics.DrawString(theText, font, whiteBrush, x, y);
-
-                    // Update the y position
-                    y += textSize.Height + 10; // Add some spacing below the text
-                }
-            }
-
-        }
-        private static void DrawImageInfo(Graphics graphics, Dictionary<string, string> imageInfo, Font font, float x, float totalWidth, ref float y)
-        {
-            const float padding = 5f;
-            float lineHeight = font.GetHeight(graphics);
-            float currentX = x;
-            float maxY = y;
-
-            using (var whiteBrush = new SolidBrush(Color.White))
-            using (var blackBrush = new SolidBrush(Color.Black))
+            var valueOptions = new RichTextOptions(font)
             {
-                StringFormat stringFormat = new StringFormat
-                {
-                    Trimming = StringTrimming.Word,
-                    FormatFlags = StringFormatFlags.LineLimit | StringFormatFlags.MeasureTrailingSpaces
-                };
+                WrappingLength = valueWidth - (2 * PADDING),
+                LineSpacing = 1.2f
+            };
 
-                foreach (var kvp in imageInfo)
-                {
-                    float itemKeyWidth = graphics.MeasureString(kvp.Key, font).Width + padding;
-                    float maxValueWidth = totalWidth - itemKeyWidth;
-
-                    // Measure the actual width needed for the value
-                    SizeF valueSizeMeasured = graphics.MeasureString(kvp.Value, font, new SizeF(maxValueWidth, float.MaxValue), stringFormat);
-                    float actualValueWidth = Math.Min(valueSizeMeasured.Width, maxValueWidth);
-
-                    // Check if we need to move to the next line
-                    if (currentX + itemKeyWidth + actualValueWidth > x + totalWidth)
-                    {
-                        currentX = x;
-                        y = maxY + padding;
-                    }
+            // Using the correct TextMeasurer method from SixLabors.Fonts
+            var keyBounds = TextMeasurer.MeasureBounds(key, keyOptions);
+            var valueBounds = TextMeasurer.MeasureBounds(value, valueOptions);
+            var rowHeight = Math.Max(keyBounds.Height, valueBounds.Height) + (2 * PADDING);
 
-                    // Draw key (white on black)
-                    graphics.FillRectangle(Brushes.Black, currentX, y, itemKeyWidth, valueSizeMeasured.Height);
-                    graphics.DrawString(kvp.Key, font, whiteBrush, new RectangleF(currentX, y, itemKeyWidth, valueSizeMeasured.Height), stringFormat);
+            // Draw the background boxes based on measured height
+            var keyRect = new RectangleF(x, y, keyWidth, rowHeight);
+            var valueRect = new RectangleF(x + keyWidth, y, valueWidth, rowHeight);
 
-                    // Draw value (black on white)
-                    graphics.FillRectangle(Brushes.White, currentX + itemKeyWidth, y, actualValueWidth, valueSizeMeasured.Height);
-                    graphics.DrawString(kvp.Value, font, blackBrush, new RectangleF(currentX + itemKeyWidth, y, actualValueWidth, valueSizeMeasured.Height), stringFormat);
+            ctx.Fill(Color.Black, keyRect)
+               .Fill(Color.White, valueRect);
 
-                    // Update positions
-                    currentX += itemKeyWidth + actualValueWidth + padding;
-                    maxY = Math.Max(maxY, y + valueSizeMeasured.Height);
+            // Update options with final positions
+            keyOptions.Origin = new PointF(x + PADDING, y + PADDING);
+            valueOptions.Origin = new PointF(x + keyWidth + PADDING, y + PADDING);
 
-                    // If we're close to the right edge, move to the next line
-                    if (currentX + itemKeyWidth > x + totalWidth - padding)
-                    {
-                        currentX = x;
-                        y = maxY + padding;
-                    }
-                }
-            }
+            // Draw the text
+            ctx.DrawText(keyOptions, key, Color.White);
+            ctx.DrawText(valueOptions, value, Color.Black);
 
-            y = maxY + padding; // Update final y position
+            y += rowHeight + PADDING;
         }
 
-        public static async Task SaveImageAndAnnotateText(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
+        public static async Task JustAddSimpleTextToBottomAsync(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
         {
-            using var ms = new MemoryStream(imageBytes);
-            using var originalImage = Image.FromStream(ms);
+            using var originalImage = Image.Load<Rgba32>(imageBytes);
+            int annotationHeight = 100;
+            int newHeight = originalImage.Height + annotationHeight;
 
-            int annotationWidth = 1000; // Standard width for the right side annotation section
-            int annotationHeight = 100; // Height for the bottom annotation section
+            using var annotatedImage = new Image<Rgba32>(originalImage.Width, newHeight);
 
-            Bitmap annotatedImage;
-            Graphics graphics;
-
-            if (saveType == SaveType.JustOverride)
+            annotatedImage.Mutate(ctx =>
             {
-                // Expand the image at the bottom
-                annotatedImage = new Bitmap(originalImage.Width, originalImage.Height + annotationHeight);
-                graphics = Graphics.FromImage(annotatedImage);
-
-                // Draw the original image
-                graphics.DrawImage(originalImage, 0, 0);
+                // Draw original image
+                ctx.DrawImage(originalImage, new Point(0, 0), 1f);
 
                 // Set up the annotation area at the bottom
-                graphics.FillRectangle(Brushes.Black, 0, originalImage.Height, originalImage.Width, annotationHeight);
+                ctx.Fill(Color.Black, new Rectangle(0, originalImage.Height, originalImage.Width, annotationHeight));
 
-                float y = originalImage.Height + 10; // Start a bit below the top of the annotation area
+                // Setup text positioning
+                float y = originalImage.Height + 10;
                 float leftMargin = 10;
                 float rightMargin = annotatedImage.Width - 10;
                 float totalWidth = rightMargin - leftMargin;
 
-                var theText = imageInfo.First().Value;
-                DrawJustOneLargeText(graphics, theText, leftMargin, totalWidth, ref y);
-            }
-            else
-            {
-                // Expand the image on the right
-                annotatedImage = new Bitmap(originalImage.Width + annotationWidth, originalImage.Height);
-                graphics = Graphics.FromImage(annotatedImage);
-
-                // Draw the original image
-                graphics.DrawImage(originalImage, 0, 0);
+                // Get text from imageInfo if available
+                var theText = imageInfo.FirstOrDefault().Value ?? "";
 
-                // Set up the annotation area on the right
-                graphics.FillRectangle(Brushes.Black, originalImage.Width, 0, annotationWidth, originalImage.Height);
-
-                float y = 5; // Start a bit below the top
-                float fontSize = 12;
-
-                float leftMargin = originalImage.Width + 5;
-                float rightMargin = annotatedImage.Width - 5;
-                float totalWidth = rightMargin - leftMargin;
-                float keyWidth = totalWidth * KEY_WIDTH_PROPORTION;
-                float valueWidth = totalWidth * VALUE_WIDTH_PROPORTION;
-
-                // Draw text into the right side black rectangle
-                foreach (var historyStep in historySteps)
+                // Draw the text in white on the black background
+                var font = SystemFonts.CreateFont("Arial", 48, FontStyle.Bold);
+                var textOptions = new TextOptions(font)
                 {
-                    DrawKeyValuePair(graphics, historyStep, fontSize, leftMargin, keyWidth, valueWidth, ref y);
-                    y += 2; // Add small gap between text pairs
-                }
+                    HorizontalAlignment = HorizontalAlignment.Center,
+                    WrappingLength = totalWidth
+                };
 
-                DrawImageInfo(graphics, imageInfo, new Font("Arial", fontSize, FontStyle.Regular), leftMargin, totalWidth, ref y);
-            }
+                var textBounds = TextMeasurer.MeasureBounds(theText, textOptions);
+                float x = leftMargin + (totalWidth - textBounds.Width) / 2;
+
+                ctx.DrawText(theText, font, Color.White, new PointF(x, y));
+            });
 
-            annotatedImage.Save(outputPath, ImageFormat.Png);
+            await annotatedImage.SaveAsPngAsync(outputPath);
         }
 
-        private static Font GetSupportedFont(string text, float fontSize, FontStyle style)
+        public static async Task SaveImageAndAnnotate(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
         {
-            // List of fonts to try, in order of preference
-            string[] fontFamilies = { "Arial", "Segoe UI", "Microsoft Sans Serif", "Arial Unicode MS" };
-
-            foreach (string fontFamily in fontFamilies)
+            if (imageBytes == null || imageBytes.Length == 0)
             {
-                using (var font = new Font(fontFamily, fontSize, style))
+                throw new ArgumentException("Image bytes cannot be null or empty");
+            }
+            
+            try
+            {
+                Image originalImage;
+                try
+                {
+                    originalImage = Image.Load(imageBytes);
+                }
+                catch (Exception ex2)
                 {
-                    if (font.Name == fontFamily && CanDisplayText(font, text))
+                    Logger.Log($"{ex2} failed normal load");
+                    try
                     {
-                        return new Font(fontFamily, fontSize, style);
+                        originalImage = Image.Load<Rgba32>(imageBytes);
+                    }
+                    catch (Exception ex3)
+                    {
+                        Logger.Log($"{ex2} failed rgba32 load");
+                        throw ex3;
                     }
                 }
-            }
 
-            // If no font can display all characters, return a default font
-            return new Font(FontFamily.GenericSansSerif, fontSize, style);
-        }
+                // Define dimensions
+                int annotationWidth = 850;
+                float fontSize = 15;
 
-        private static bool CanDisplayText(Font font, string text)
-        {
-            using (var graphics = Graphics.FromHwnd(IntPtr.Zero))
-            {
-                return text.All(c => font.FontFamily.GetEmHeight(font.Style) != 0);
-            }
-        }
-
-        private static Font GetMonospacedFont(string text, float fontSize, FontStyle style)
-        {
-            // List of monospaced fonts to try, in order of preference
-            string[] monoFontFamilies = { "Consolas", "Courier New", "Lucida Console", "Monaco" };
+                // Create new image with space for annotations
+                using var annotatedImage = new Image<Rgba32>(originalImage.Width + annotationWidth, originalImage.Height);
 
-            foreach (string fontFamily in monoFontFamilies)
-            {
-                using (var font = new Font(fontFamily, fontSize, style))
+                annotatedImage.Mutate(ctx =>
                 {
-                    if (font.Name == fontFamily && CanDisplayText(font, text))
+                    // Draw original image
+                    ctx.DrawImage(originalImage, new Point(0, 0), 1f);
+
+                    // Setup annotation area
+                    float leftMargin = originalImage.Width + 5;
+                    float rightMargin = annotatedImage.Width - 5;
+                    float totalWidth = rightMargin - leftMargin;
+                    float keyWidth = totalWidth * KEY_WIDTH_PROPORTION;
+                    float valueWidth = totalWidth * VALUE_WIDTH_PROPORTION;
+
+                    // Fill right side with black background
+                    ctx.Fill(Color.Black, new Rectangle(originalImage.Width, 0, annotationWidth, originalImage.Height));
+
+                    // Draw history steps
+                    float y = 5;
+                    foreach (var historyStep in historySteps)
                     {
-                        Console.WriteLine($"chose font: {font.Name} cause it could display all.");
-                        return new Font(fontFamily, fontSize, style);
+                        DrawKeyValuePair(ctx, historyStep.TransformationType.ToString(), historyStep.Explanation, fontSize, leftMargin, keyWidth, valueWidth, ref y);
+                        y += 2; // Small gap between entries
                     }
-                }
-            }
 
-            // If no monospaced font can display all characters, return a default monospaced font
-            Console.WriteLine($"Failed to choose font, fallback to genri mono");
-            return new Font(FontFamily.GenericMonospace, fontSize, style);
+                    // Draw image info if available
+                    if (imageInfo.Any())
+                    {
+                        foreach (var kvp in imageInfo)
+                        {
+                            DrawKeyValuePair(ctx, kvp.Key, kvp.Value, fontSize, leftMargin, keyWidth, valueWidth, ref y);
+                        }
+                    }
+                });
+
+                await annotatedImage.SaveAsPngAsync(outputPath);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Exception adding fuller text to image: {ex}");
+            }
         }
     }
 }
diff --git a/MultiImageClient/Implementation/TextUtils.cs b/MultiImageClient/Implementation/TextUtils.cs
index 75aaced..5e08923 100644
--- a/MultiImageClient/Implementation/TextUtils.cs
+++ b/MultiImageClient/Implementation/TextUtils.cs
@@ -26,105 +26,8 @@ public static class TextUtils
         private static readonly Dictionary<string, int> _filenameCounts = new Dictionary<string, int>();
         private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
         private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
+        
 
-        public static string GenerateUniqueFilename(TaskProcessResult result, string baseFolder, string promptGeneratorName, SaveType saveType)
-        {
-            var usingPromptTextPart = TruncatePrompt(result.PromptDetails.Prompt, 90);
-            if (!string.IsNullOrEmpty(result.PromptDetails.IdentifyingConcept))
-            {
-                usingPromptTextPart = result.PromptDetails.IdentifyingConcept;
-            }
-
-            var components = new List<string>
-            {
-                promptGeneratorName,
-                result.ImageGenerator.ToString(),
-                usingPromptTextPart,
-
-                GetResolution(result.PromptDetails),
-                GetIfAPIServiceDoesRewrites(result.PromptDetails),
-
-                DateTime.Now.ToString("yyyyMMddHHmmss"),
-                saveType.ToString(),
-            };
-
-            string combined = string.Join("_", components.Where(c => !string.IsNullOrEmpty(c)));
-            string sanitized = SanitizeFilename(combined);
-
-            // Ensure the filename is unique
-            int count = 0;
-            string uniqueFilename;
-            do
-            {
-                uniqueFilename = count == 0 ? sanitized : $"{sanitized}_{count:D4}";
-                count++;
-            } while (File.Exists(Path.Combine(baseFolder, $"{uniqueFilename}{result.ImageGenerator.GetFileExtension()}")));
-
-            return uniqueFilename;
-        }
-
-        private static string TruncatePrompt(string prompt, int maxLength)
-        {
-            return prompt.Length > maxLength ? prompt.Substring(0, maxLength) : prompt;
-        }
-
-        private static string GetIfAPIServiceDoesRewrites(PromptDetails details)
-        {
-            if (details.BFLDetails != null)
-            {
-                if (details.BFLDetails.PromptUpsampling)
-                {
-                    return "BFL_upsampling";
-                }
-                else
-                {
-                    return "";
-                }
-            }
-            if (details.IdeogramDetails != null)
-            {
-                if (details.IdeogramDetails.MagicPromptOption == IdeogramMagicPromptOption.ON)
-                {
-                    return "MagicPrompt_YES";
-                }
-                else if (details.IdeogramDetails.MagicPromptOption == IdeogramMagicPromptOption.AUTO)
-                {
-                    return "MagicPrompt_Auto";
-                }
-                else
-                {
-                    return "";
-                }
-            }
-            return "";
-        }
-
-        private static string GetResolution(PromptDetails details)
-        {
-            if (details.BFLDetails != null && details.BFLDetails.Width != default && details.BFLDetails.Height != default)
-                return $"{details.BFLDetails.Width}x{details.BFLDetails.Height}";
-            if (details.Dalle3Details != null)
-                return details.Dalle3Details.Size.ToString();
-            if (details.IdeogramDetails?.AspectRatio != null)
-                return IdeogramUtils.StringifyAspectRatio(details.IdeogramDetails.AspectRatio.Value);
-            return "";
-        }
-
-        private static string GetSafetyTolerance(PromptDetails details)
-        {
-            if (details.BFLDetails != null && details.BFLDetails.SafetyTolerance != default)
-                return $"safety{details.BFLDetails.SafetyTolerance}";
-            return "";
-        }
-
-        private static string SanitizeFilename(string filename)
-        {
-            string sanitized = Regex.Replace(filename, @"[^a-zA-Z0-9_\-]", "_");
-            while (sanitized.Contains("__"))
-            {
-                sanitized = sanitized.Replace("__", "_");
-            }
-            return sanitized.Length > 200 ? sanitized.Substring(0, 200) : sanitized;
-        }
+       
     }
 }
diff --git a/MultiImageClient/Implementation/WorkflowContext.cs b/MultiImageClient/Implementation/WorkflowContext.cs
new file mode 100644
index 0000000..3d13dde
--- /dev/null
+++ b/MultiImageClient/Implementation/WorkflowContext.cs
@@ -0,0 +1,15 @@
+using MultiImageClient;
+
+public class WorkflowContext
+{
+    public Settings Settings { get; }
+    public MultiClientRunStats Stats { get; }
+    public ImageManager ImageManager { get; }
+
+    public WorkflowContext(Settings settings, MultiClientRunStats stats, ImageManager imageManager)
+    {
+        Settings = settings;
+        Stats = stats;
+        ImageManager = imageManager;
+    }
+}
\ No newline at end of file
diff --git a/MultiImageClient/MultiGeneratorResults.cs b/MultiImageClient/MultiGeneratorResults.cs
new file mode 100644
index 0000000..79a0cad
--- /dev/null
+++ b/MultiImageClient/MultiGeneratorResults.cs
@@ -0,0 +1,10 @@
+using System.Collections.Generic;
+
+
+namespace MultiImageClient
+{
+    public class MultiGeneratorResults
+    {
+        public Dictionary<ImageGeneratorApiType, TaskProcessResult> results { get; set; } = new Dictionary<ImageGeneratorApiType, TaskProcessResult>();
+    }
+}
diff --git a/MultiImageClient/MultiImageClient.csproj b/MultiImageClient/MultiImageClient.csproj
index 610d7d0..c97a699 100644
--- a/MultiImageClient/MultiImageClient.csproj
+++ b/MultiImageClient/MultiImageClient.csproj
@@ -23,6 +23,8 @@
     <PackageReference Include="LLamaSharp.Backend.Cuda12" Version="0.16.0" />
     <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
     <PackageReference Include="OpenAI" Version="2.0.0" />
+    <PackageReference Include="SixLabors.ImageSharp" Version="3.1.6" />
+    <PackageReference Include="SixLabors.ImageSharp.Drawing" Version="2.1.4" />
     <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
   </ItemGroup>
 
@@ -31,6 +33,7 @@
     <ProjectReference Include="..\IdeogramAPI\IdeogramAPIClient.csproj" />
     <ProjectReference Include="..\ImageGenerationClasses\ImageGenerationClasses.csproj">
     </ProjectReference>
+    <ProjectReference Include="..\RecraftAPI\RecraftAPIClient.csproj" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index a74aec7..a1ed826 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -2,192 +2,61 @@
 using System.Net.Http;
 using System.Threading.Tasks;
 using System.Collections.Generic;
-using IdeogramAPIClient;
 using Newtonsoft.Json;
 using System.IO;
-using OpenAI.Images;
-using System.Linq;
-using System.ComponentModel.Design;
-using static LLama.Native.NativeLibraryConfig;
-using System.ComponentModel;
-using System.Drawing.Drawing2D;
-using System.Numerics;
-using System.Xml.Linq;
-using System.Xml;
-using System.Security.Cryptography.X509Certificates;
+
 using MultiImageClient.promptGenerators;
+using System.Reflection.Emit;
+using static MultiImageClient.Program;
+
 
 namespace MultiImageClient
-{
+{   
     /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
     public class Program
     {
-        private static readonly HttpClient httpClient = new HttpClient();
         private static BFLService _BFLService;
         private static IdeogramService _IdeogramService;
         private static Dalle3Service _Dalle3Service;
-
-        static async Task Main(string[] args)
+        private static RecraftService _RecraftService;
+        private static ClaudeService _ClaudeService;
+ 
+        private static void InitializeServices(Settings settings, int concurrency)
         {
-            var settingsFilePath = "settings.json";
-            var settings = Settings.LoadFromFile(settingsFilePath);
-
-            Console.WriteLine("Current settings:");
-            Console.WriteLine($"Image Download Base:\t{settings.ImageDownloadBaseFolder}");
-            Console.WriteLine($"Save JSON Log:\t\t{settings.SaveJsonLog}");
-            Console.WriteLine($"Enable Logging:\t\t{settings.EnableLogging}");
-            Console.WriteLine($"Annotation Side:\t{settings.AnnotationSide}");
-            _BFLService = new BFLService(settings.BFLApiKey, 10);
-            _IdeogramService = new IdeogramService(settings.IdeogramApiKey, 10);
-            _Dalle3Service = new Dalle3Service(settings.OpenAIApiKey, 5);
-            var claudeService = new ClaudeService(settings.AnthropicApiKey, 10);
-
-            // here is where you have a choice. Super specific stuff like managing a run with repeats, targets etc can be controlled
-            // with specific classes which inherit from AbstractPromptGenerator. e.g. DeckOfCards
-            //var basePromptGenerator = new LoadFromFile(settings, "");
-            //var basePromptGenerator = new WriteHere(settings);
-            var steps = new List<ITransformationStep>();
-
-            var stats = new MultiClientRunStats();
-            var processingTasks = new List<Task>();
-            var basePromptGenerator = new LoadDoubleFromFile(settings, "", true, false);
-
-            var generators = new List<IImageGenerator>();
-            generators.Add(new BFLGenerator(_BFLService));
-            //generators.Add(new IdeogramGenerator(_IdeogramService));
-
-
-            var claudeStep = new ClaudeRewriteStep("Identify and COMBINE all these into a single output text, Logically be extremely creative and put all of them into a single, simple minimalistic scene with detailed depictions and format either high res digital pure natural painting, or watercolor at masterwork level, simplistic dashed off work which contains more mastery than all others. never be general and always be specific instead.  output a paragraph of beautiful simple prose with no prefix or suffix, just immediately describe the scene and its appearance in amazing detail and glory, following and logically somehow extrapolating a way that it would make sense for one single image to have all these things in them! use both sources completely, including all details, using and respecing user's include aspects and sources and retaining ALL aspects of each one! No newlines just normal 100 words including all elemenets, super arcane dense and jargon including abbrevations, yet matching coherently. Please combine all aspects of them and output the textual description of an incredibly attractive full image either a scene, super close up, or something.  ", $"", claudeService, 1.0m);
-            steps.Add(claudeStep);
-
-            //var manulaStep = new ManualModificationStep("", "Selnder lovely cute curvy south korean japanese models and monumental architecture. All individuals are over 20 years old, and are properly and voluntarily enjoying their participation in this scene staging.");
-            //steps.Add(manulaStep);
-            //var manulaStep = new ManualModificationStep("", "Extremely close up abstract image full of profound emotional import, part Bold super sharp photo, part watercolor, part super high res textured digital art with otherworldly high resolution and sharp detail or extreme minimalism and incredible art design.");
-            //steps.Add(manulaStep);
-
-            foreach (var promptDetails in basePromptGenerator.Run())
-            {
-                Console.WriteLine(stats.PrintStats());
-                Console.WriteLine($"\n----------------- Processing prompt: {promptDetails.Show()}");
-                
-                foreach (var step in steps)
-                {
-                    var res = await step.DoTransformation(promptDetails, stats);
-                    if (!res)
-                    {
-                        Console.WriteLine($"\tStep{step.Name} failed so skipping it. {promptDetails.Show()}");
-                        continue;
-                    }
-                    
-                    Console.WriteLine($"\tStep{step.Name} rewrote it to: {promptDetails.Show()}");
-                }
-
-                for (var jj = 0; jj < basePromptGenerator.FullyResolvedCopiesPer; jj++)
-                {
-                    foreach (var generator in generators)
-                    {
-                        var theCopy = promptDetails.Clone();
-                        processingTasks.Add(ProcessAndDownloadAsync(
-                           generator.ProcessPromptAsync(theCopy, stats),
-                               settings,
-                               basePromptGenerator,
-                               stats));
-                    }
-                    await Task.Delay(250);
-                }
-            }
-
-
-            await Task.WhenAll(processingTasks);
-            Console.WriteLine("All tasks completed.");
-            stats.PrintStats();
+            _BFLService = new BFLService(settings.BFLApiKey, concurrency);
+            _IdeogramService = new IdeogramService(settings.IdeogramApiKey, concurrency);
+            _Dalle3Service = new Dalle3Service(settings.OpenAIApiKey, concurrency);
+            _RecraftService = new RecraftService(settings.RecraftApiKey, concurrency);
+            _ClaudeService = new ClaudeService(settings.AnthropicApiKey, concurrency);
         }
 
-        private static async Task ProcessAndDownloadAsync(Task<TaskProcessResult> processingTask, Settings settings, AbstractPromptGenerator abstractPromptGenerator, MultiClientRunStats stats)
-        {
-            try
+        private static IWorkflow CreateWorkflow(GeneralActionType actionType, WorkflowContext context, AbstractPromptGenerator apg, Settings settings){
+            return actionType switch
             {
-                var result = await processingTask;
-                if (result.IsSuccess)
-                {
-                    if (!string.IsNullOrEmpty(result.Url))
-                    {
-                        Console.WriteLine($"\t\tDownloading image");
-                        byte[] imageBytes = await DownloadImageAsync(result.Url);
-                        var savedImagePaths = new Dictionary<SaveType, string>();
-                        if (abstractPromptGenerator.SaveRaw)
-                        {
-                            savedImagePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.Raw, abstractPromptGenerator.Name);
-                        }
-                        if (abstractPromptGenerator.SaveFullAnnotation)
-                        {
-                            savedImagePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.FullAnnotation, abstractPromptGenerator.Name);
-                        }
-                        if (abstractPromptGenerator.SaveFinalPrompt)
-                        {
-                            savedImagePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.FinalPrompt, abstractPromptGenerator.Name);
-                        }
-                        if (abstractPromptGenerator.SaveInitialIdea)
-                        {
-                            savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.InitialIdea, abstractPromptGenerator.Name);
-                        }
-                        
-                        savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.JustOverride, abstractPromptGenerator.Name);
-
-                        if (settings.SaveJsonLog)
-                        {
-                            await SaveJsonLogAsync(result, savedImagePaths, settings);
-                        }
-                    }
-                    else
-                    {
-                        Console.WriteLine($"No URL: {result.ErrorMessage}");
-                    }
-                }
-                else
-                {                    
-                        Console.WriteLine(result);
-                }
-            }
-            catch (Exception ex)
-            {
-                Console.WriteLine($"\tAn error occurred while processing a task: {ex.Message}");
-            }
-        }
-        private static async Task SaveJsonLogAsync(TaskProcessResult result, Dictionary<SaveType, string> savedImagePaths, Settings settings)
-        {
-            var jsonLog = new
-            {
-                Timestamp = DateTime.UtcNow,
-                result.PromptDetails,
-                GeneratedImageUrl = result.Url,
-                SavedImagePaths = savedImagePaths,
-                ServiceUsed = result.ImageGenerator,
-                result.ErrorMessage,
+                GeneralActionType.PromptToImageWithSteps =>
+                    new PromptToImageWithStepsWorkflow(context, _BFLService, _IdeogramService, _Dalle3Service, _RecraftService, _ClaudeService),
+                GeneralActionType.SamePromptMultipleTargets =>
+                    new SamePromptMultipleTargetsWorkflow(context, _BFLService, _IdeogramService, _Dalle3Service, _RecraftService, _ClaudeService, apg, settings),
+                GeneralActionType.ImageToTextToImageWithSteps => throw new NotImplementedException(),
+                _ => throw new NotImplementedException("Unknown workflow")
             };
-            string jsonString = JsonConvert.SerializeObject(jsonLog, Newtonsoft.Json.Formatting.Indented);
-            if (savedImagePaths.TryGetValue(SaveType.Raw, out string rawImagePath))
-            {
-                string jsonFilePath = Path.ChangeExtension(rawImagePath, ".json");
-                await File.WriteAllTextAsync(jsonFilePath, jsonString);
-                //Console.WriteLine($"\tJSON log saved to: {jsonFilePath}");
-            }
-            else
-            {
-                Console.WriteLine("\tUnable to save JSON log: Raw image path not found.");
-            }
         }
-        public static async Task<byte[]> DownloadImageAsync(string imageUrl)
+
+        static async Task Main(string[] args)
         {
-            try
-            {
-                return await httpClient.GetByteArrayAsync(imageUrl);
-            }
-            catch (Exception ex)
-            {
-                Console.WriteLine($"Failed to download image from {imageUrl}: {ex.Message}");
-                return Array.Empty<byte>();
-            }
+            var settingsFilePath = "settings.json";
+            var settings = Settings.LoadFromFile(settingsFilePath);
+            var concurrency = 6;
+            
+            InitializeServices(settings, concurrency);
+
+            GeneralActionType gat = GeneralActionType.SamePromptMultipleTargets;
+            var apg = new LoadFromFile(settings, "");
+
+            var im = new ImageManager(settings);
+            var workflowContext = new WorkflowContext(settings, new MultiClientRunStats(), im);
+            var workflow = CreateWorkflow(gat, workflowContext, apg, settings);
+            await workflow.RunAsync();
         }
     }
 }
diff --git a/MultiImageClient/PromptToImageWithStepsWorkflow.cs.cs b/MultiImageClient/PromptToImageWithStepsWorkflow.cs.cs
new file mode 100644
index 0000000..bfe0782
--- /dev/null
+++ b/MultiImageClient/PromptToImageWithStepsWorkflow.cs.cs
@@ -0,0 +1,80 @@
+using MultiImageClient.promptGenerators;
+
+using System;
+using System.Collections.Generic;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class PromptToImageWithStepsWorkflow : IWorkflow
+    {
+        private readonly WorkflowContext _workflowContext;
+        private readonly BFLService _BFLService;
+        private readonly IdeogramService _IdeogramService;
+        private readonly Dalle3Service _Dalle3Service;
+        private readonly RecraftService _RecraftService;
+        private readonly ClaudeService _ClaudeService;
+
+        public PromptToImageWithStepsWorkflow(
+            WorkflowContext workflowContext,
+            BFLService bflService,
+            IdeogramService ideogramService,
+            Dalle3Service dalle3Service,
+            RecraftService recraftService,
+            ClaudeService claudeService)
+        {
+            _workflowContext = workflowContext;
+            _BFLService = bflService;
+            _IdeogramService = ideogramService;
+            _Dalle3Service = dalle3Service;
+            _RecraftService = recraftService;
+            _ClaudeService = claudeService;
+        }
+
+        public async Task RunAsync()
+        {
+            var basePromptGenerator = new LoadFromFile(_workflowContext.Settings, "");
+            var steps = new List<ITransformationStep>();
+            var stats = new MultiClientRunStats();
+            var generators = new List<IImageGenerator>
+            {
+                new IdeogramGenerator(_IdeogramService),
+                new BFLGenerator(_BFLService),
+                new RecraftGenerator(_RecraftService)
+            };
+
+            foreach (var promptDetails in basePromptGenerator.Run())
+            {
+                stats.PrintStats();
+                Logger.Log($"\n--- Processing prompt: {promptDetails.Show()} ---");
+
+                // Apply transformation steps
+                foreach (var step in steps)
+                {
+                    var res = await step.DoTransformation(promptDetails, stats);
+                    if (!res)
+                    {
+                        Logger.Log($"\tStep {step.Name} failed: {promptDetails.Show()}");
+                        continue;
+                    }
+                    Logger.Log($"\tStep:{step.Name} => {promptDetails.Show()}");
+                }
+
+                for (int jj = 0; jj < basePromptGenerator.FullyResolvedCopiesPer; jj++)
+                {
+                    foreach (var generator in generators)
+                    {
+                        var theCopy = promptDetails.Clone();
+                        var result = await generator.ProcessPromptAsync(theCopy, stats);
+
+                        await _workflowContext.ImageManager.ProcessAndSaveAsync(result, basePromptGenerator, stats);
+                    }
+                    await Task.Delay(500);
+                }
+            }
+
+            Logger.Log("All tasks completed.");
+            stats.PrintStats();
+        }
+    }
+}
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs
new file mode 100644
index 0000000..ea2313d
--- /dev/null
+++ b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs
@@ -0,0 +1,70 @@
+using System;
+using System.Collections.Generic;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class SamePromptMultipleTargetsWorkflow : IWorkflow
+    {
+        private readonly WorkflowContext _workflowContext;
+        private readonly IdeogramService _IdeogramService;
+        private readonly BFLService _BFLService;
+        private readonly Dalle3Service _Dalle3Service;
+        private readonly RecraftService _RecraftService;
+        private readonly ClaudeService _ClaudeService;
+        private readonly AbstractPromptGenerator _AbstractPromptGenerator;
+        private readonly Settings _settings;
+
+        public SamePromptMultipleTargetsWorkflow(WorkflowContext workflowContext,
+            BFLService bflService,
+            IdeogramService ideogramService,
+            Dalle3Service dalle3Service,
+            RecraftService recraftService,
+            ClaudeService claudeService,
+            AbstractPromptGenerator apg,
+            Settings settings)
+        {
+            _workflowContext = workflowContext;
+            _BFLService = bflService;
+            _IdeogramService = ideogramService;
+            _Dalle3Service = dalle3Service;
+            _RecraftService = recraftService;
+            _ClaudeService = claudeService;
+            _AbstractPromptGenerator = apg;
+            _settings = settings;
+        }
+
+        public async Task RunAsync()
+        {
+            var generators = new List<IImageGenerator>
+            {
+                new IdeogramGenerator(_IdeogramService),
+                new BFLGenerator(_BFLService),
+                new RecraftGenerator(_RecraftService)
+            };
+
+            var multiResults = new MultiGeneratorResults();
+            foreach (var prompt in _AbstractPromptGenerator.Run())
+            {
+
+                foreach (var generator in generators)
+                {
+                    var theCopy = prompt.Clone();
+                    var res = await generator.ProcessPromptAsync(theCopy, _workflowContext.Stats);
+                    if (!res.IsSuccess)
+                    {
+                        Logger.Log(res.ToString());
+                        continue;
+                    }
+                    multiResults.results[generator.GetApiType] = res;
+
+                    // Always handle image saving, caching, etc:
+                    await _workflowContext.ImageManager.ProcessAndSaveAsync(res, _AbstractPromptGenerator, _workflowContext.Stats);
+                }
+
+                var ic = new ImageCombiner();
+                ic.SaveMultipleImagesWithSubtitle(multiResults.results, _settings, prompt.Prompt);
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/Services/BFLService.cs b/MultiImageClient/Services/BFLService.cs
index 8f9012e..d313d39 100644
--- a/MultiImageClient/Services/BFLService.cs
+++ b/MultiImageClient/Services/BFLService.cs
@@ -14,11 +14,14 @@ public class BFLService : IImageGenerationService
     {
         private SemaphoreSlim _bflSemaphore;
         private BFLClient _bflClient;
+        private HttpClient _httpClient;
+
 
         public BFLService(string apiKey, int maxConcurrency)
         {
             _bflClient = new BFLClient(apiKey);
             _bflSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
         }
 
         public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
@@ -40,7 +43,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                 stats.BFLImageGenerationRequestCount++;
 
                 var generationResult = await _bflClient.GenerateFluxPro11Async(request);
-                Console.WriteLine($"\tFrom BFL: '{generationResult.Status}'");
+                Logger.Log($"\tFrom BFL: '{generationResult.Status}'");
 
                 // this is where we handle generator-specific error types.
                 if (generationResult.Status != "Ready")
@@ -65,7 +68,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                 }
                 else
                 {
-                    Console.WriteLine($"BFL image generated: {generationResult.Result.Sample}");
+                    Logger.Log($"BFL image generated: {generationResult.Result.Sample}");
                     stats.BFLImageGenerationRequestCount++;
                     var returnedPrompt = generationResult.Result.Prompt.Trim();
                     if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
@@ -73,13 +76,16 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                         //BFL replaced the prompt. Never actually happens.
                         promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
                     }
-                    return new TaskProcessResult { IsSuccess = true, Url = generationResult.Result.Sample, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL };
+
+                    var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, generationResult.Result.Sample));
+                    var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+                    return new TaskProcessResult { IsSuccess = true, Url = generationResult.Result.Sample, ContentType = contentType, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL };
                 }
 
             }
             catch (Exception ex)
             {
-                Console.WriteLine($"BFL error: {ex.Message}");
+                Logger.Log($"BFL error: {ex.Message}");
                 return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL };
             }
             finally
diff --git a/MultiImageClient/Services/ClaudeService.cs b/MultiImageClient/Services/ClaudeService.cs
index 8fd3509..da605d7 100644
--- a/MultiImageClient/Services/ClaudeService.cs
+++ b/MultiImageClient/Services/ClaudeService.cs
@@ -59,7 +59,7 @@ public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDeta
             if (ClaudeWillHateThis(promptDetails.Prompt))
             {
                 promptDetails.AddStep("Claude wouldn't have touched this prompt", TransformationType.ClaudeWouldRefuseRewrite);
-                Console.WriteLine($"\t\tClaude would have refused to rewrite: {promptDetails.Show()}");
+                Logger.Log($"\t\tClaude would have refused to rewrite: {promptDetails.Show()}");
                 stats.ClaudeWouldRefuseCount++;
                 return new TaskProcessResult { IsSuccess = false, ErrorMessage = "Claude wouldn't have touched this prompt", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated};
             }
@@ -87,14 +87,15 @@ public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDeta
                 if (isClaudeUnhappy)
                 {
                     stats.ClaudeRefusedCount++;
-                    Console.WriteLine($"\t\tClaude was unhappy about\n\t\t\t{promptDetails.Show()}\n\t\t\t{claudeResponse}");
+                    Logger.Log($"\t\tClaude was unhappy about\n\t\t\t{promptDetails.Show()}\n\t\t\t{claudeResponse}");
                     return new TaskProcessResult { IsSuccess = false, ErrorMessage = $"Claude was unhappy about the prompt and refused to rewrite it. {claudeResponse}", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericTextErrorType = GenericTextGenerationErrorType.RequestModerated };
                 }
                 else
                 {
-                    Console.WriteLine($"\t\tClaude rewrote it to: {claudeResponse}");
+                    Logger.Log($"\t___Step:Claude____ => rewrote to: {claudeResponse}");
                     promptDetails.ReplacePrompt(claudeResponse, claudeResponse, TransformationType.ClaudeRewrite);
                     stats.ClaudeRewroteCount++;
+
                     return new TaskProcessResult { IsSuccess = true, ErrorMessage = "", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude };
                 }
             }
diff --git a/MultiImageClient/Services/IdeogramService.cs b/MultiImageClient/Services/IdeogramService.cs
index 19c5eee..57e97ff 100644
--- a/MultiImageClient/Services/IdeogramService.cs
+++ b/MultiImageClient/Services/IdeogramService.cs
@@ -22,6 +22,7 @@ public class IdeogramService : IImageGenerationService
     {
         private SemaphoreSlim _ideogramSemaphore;
         private IdeogramClient _ideogramClient;
+        private HttpClient _httpClient = new HttpClient();
 
         public IdeogramService(string apiKey, int maxConcurrency)
         {
@@ -50,6 +51,8 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                             //Ideogram replaced the prompt.
                             promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.IdeogramRewrite);
                         }
+                        var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, imageObject.Url));
+                        var contentType = headResponse.Content.Headers.ContentType?.MediaType;
                         return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram };
                     }
                     throw new Exception("No images returned");
diff --git a/MultiImageClient/Services/RecraftService.cs b/MultiImageClient/Services/RecraftService.cs
new file mode 100644
index 0000000..37e0815
--- /dev/null
+++ b/MultiImageClient/Services/RecraftService.cs
@@ -0,0 +1,64 @@
+using RecraftAPIClient;
+
+using System;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class RecraftService : IImageGenerationService
+    {
+        private SemaphoreSlim _recraftSemaphore;
+        private RecraftClient _recraftClient;
+        private HttpClient _httpClient;
+
+        public RecraftService(string apiKey, int maxConcurrency)
+        {
+            _recraftClient = new RecraftClient(apiKey);
+            _recraftSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
+        {
+            await _recraftSemaphore.WaitAsync();
+            try
+            {
+                var recraftDetails = promptDetails.RecraftDetails;
+                stats.RecraftImageGenerationRequestCount++;
+                var usingPrompt = promptDetails.Prompt;
+                if (usingPrompt.Length > 1000)
+                {
+                    usingPrompt = usingPrompt.Substring(0, 990);
+                    Logger.Log("Truncating the prompt for Recraft.");
+                }
+                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, recraftDetails);
+                Logger.Log($"\tFrom Recraft: '{generationResult.Created}'");
+                stats.RecraftImageGenerationSuccessCount++;
+                var theUrl = generationResult.Data[0].Url;
+
+                var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, theUrl));
+                var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Url = theUrl,
+                    ContentType = contentType,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.Recraft
+                };
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Recraft error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft };
+            }
+            finally
+            {
+                _recraftSemaphore.Release();
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/imageGenerators/BFLGenerator.cs b/MultiImageClient/imageGenerators/BFLGenerator.cs
index 8105db4..d1934a7 100644
--- a/MultiImageClient/imageGenerators/BFLGenerator.cs
+++ b/MultiImageClient/imageGenerators/BFLGenerator.cs
@@ -9,6 +9,7 @@ namespace MultiImageClient
 {
     public class BFLGenerator : AbstractImageGenerator, IImageGenerator
     {
+        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.BFL;
         public BFLGenerator(IImageGenerationService svc) : base(svc)
         {
         }
@@ -17,14 +18,12 @@ public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails p
             var bflDetails = new BFLDetails
             {
                 Width = 1440,
-                Height = 960,
+                Height = 1440, //1376
                 PromptUpsampling = false,
                 SafetyTolerance = 6,
             };
             pd.BFLDetails = bflDetails;
-            var shortened = pd.Prompt.Length > 100 ? pd.Prompt.Substring(0, 100) + "..." : pd.Prompt;
-            shortened = pd.Prompt;
-            Console.WriteLine($"\tSubmitting to BFL: {shortened}");
+            Logger.Log($"\tSubmitting to BFL: {pd.Prompt}");
             var res = await _svc.ProcessPromptAsync(pd, stats);
             return res;
         }
diff --git a/MultiImageClient/imageGenerators/Dalle3Details.cs b/MultiImageClient/imageGenerators/Dalle3Details.cs
index a961afc..05520b5 100644
--- a/MultiImageClient/imageGenerators/Dalle3Details.cs
+++ b/MultiImageClient/imageGenerators/Dalle3Details.cs
@@ -3,7 +3,7 @@
 
 namespace MultiImageClient
 {
-    public class Dalle3Details
+    public class Dalle3Details : IDetails
     {
         public string Model { get; set; }
         public GeneratedImageSize Size { get; set; }
@@ -18,5 +18,10 @@ public Dalle3Details(Dalle3Details other)
             Quality = other.Quality;
             Format = other.Format;
         }
+
+        public string GetDescription()
+        {
+            return $"{Model}-{Size}-{Quality}-{Format}";
+        }
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/imageGenerators/Dalle3Generator.cs b/MultiImageClient/imageGenerators/Dalle3Generator.cs
index 7905819..fa36844 100644
--- a/MultiImageClient/imageGenerators/Dalle3Generator.cs
+++ b/MultiImageClient/imageGenerators/Dalle3Generator.cs
@@ -10,6 +10,7 @@ namespace MultiImageClient
 {
     public class Dalle3Generator : AbstractImageGenerator, IImageGenerator  
     {
+        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Dalle3;
         public Dalle3Generator(IImageGenerationService svc) : base(svc)
         {
         }
@@ -24,7 +25,7 @@ public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails p
             };
             pd.Dalle3Details = dalle3Details;
 
-            Console.WriteLine($"\t\tSubmitting to Dalle3: {pd.Prompt}");
+            Logger.Log($"\t\tSubmitting to Dalle3: {pd.Prompt}");
             var res = await _svc.ProcessPromptAsync(pd, stats);
             return res;
         }
diff --git a/MultiImageClient/imageGenerators/IdeogramGenerator.cs b/MultiImageClient/imageGenerators/IdeogramGenerator.cs
index af8feca..e4e0727 100644
--- a/MultiImageClient/imageGenerators/IdeogramGenerator.cs
+++ b/MultiImageClient/imageGenerators/IdeogramGenerator.cs
@@ -12,6 +12,8 @@ namespace MultiImageClient
 
     public class IdeogramGenerator : AbstractImageGenerator, IImageGenerator
     {
+        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Ideogram;
+
         public IdeogramGenerator(IImageGenerationService svc) : base(svc)
         {
         }
@@ -27,7 +29,7 @@ public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails p
             };
             pd.IdeogramDetails = ideogramDetails;
 
-            Console.WriteLine($"\t\tSubmitting to Ideogram: {pd.Prompt}");
+            Logger.Log($"\t\tSubmitting to Ideogram: {pd.Prompt}");
             var res = await _svc.ProcessPromptAsync(pd, stats);
             return res;
         }
diff --git a/MultiImageClient/imageGenerators/RecraftGenerator.cs b/MultiImageClient/imageGenerators/RecraftGenerator.cs
new file mode 100644
index 0000000..b67d6ea
--- /dev/null
+++ b/MultiImageClient/imageGenerators/RecraftGenerator.cs
@@ -0,0 +1,78 @@
+using IdeogramAPIClient;
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using RecraftAPIClient;
+
+namespace MultiImageClient
+{
+    public class RecraftGenerator : AbstractImageGenerator, IImageGenerator
+    {
+        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Recraft;
+        private static Random random = new Random();
+
+        public RecraftGenerator(IImageGenerationService svc) : base(svc)
+        {
+        }
+
+        private RecraftDetails GetDefaultRecraftDetails()
+        {
+            var details = new RecraftDetails
+            {
+                size = RecraftImageSize._1024x1536
+            };
+            details.style = "any";
+            return details;
+        }
+        private RecraftDetails GetRandomRecraftStyleAndSubstyleDetails()
+        {
+            var details = new RecraftDetails
+            {
+                size = RecraftImageSize._1536x1024
+            };
+
+            // Randomly select one of the three main styles
+            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
+            details.style = styles[random.Next(styles.Count)].ToString();
+
+            // Based on chosen style, select appropriate substyle
+            switch (details.style)
+            {
+                case "digital_illustration":
+                    var digitalStyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles))
+                        .Cast<RecraftDigitalIllustrationSubstyles>().ToList();
+                    details.substyle = digitalStyles[random.Next(digitalStyles.Count)].ToString();
+                    break;
+
+                case "realistic_image":
+                    var realisticStyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyles))
+                        .Cast<RecraftRealisticImageSubstyles>().ToList();
+                    details.substyle = realisticStyles[random.Next(realisticStyles.Count)].ToString();
+                    break;
+
+                case "vector_illustration":
+                    var vectorStyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles))
+                        .Cast<RecraftVectorIllustrationSubstyles>().ToList();
+                    details.substyle = vectorStyles[random.Next(vectorStyles.Count)].ToString();
+                    break;
+            }
+
+            return details;
+        }
+
+        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
+        {
+            if (pd.RecraftDetails == null)
+            {
+                //pd.RecraftDetails = GetRandomRecraftStyleAndSubstyleDetails();
+                pd.RecraftDetails = GetDefaultRecraftDetails();
+            }
+            
+            Logger.Log($"\tSubmitting to Recraft with style {pd.RecraftDetails.GetFullStyleName()}");
+            var res = await _svc.ProcessPromptAsync(pd, stats);
+            return res;
+        }
+    }
+}
diff --git a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
index 66673fe..aba3453 100644
--- a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
@@ -32,7 +32,7 @@ public LoadDoubleFromFile(Settings settings, string path, bool includePublic, bo
 
         public override int ImageCreationLimit => 400;
         public override int CopiesPer => 2;
-        public override int FullyResolvedCopiesPer =>4;
+        public override int FullyResolvedCopiesPer => 2;
         public override bool RandomizeOrder => true;
         public override string Prefix => "";
         public override IEnumerable<string> Variants => new List<string> { "" };
@@ -82,14 +82,16 @@ private IEnumerable<PromptDetails> GetPrompts()
                 }
             }
 
-            Console.WriteLine($"loaded {sourceFPs.Count} prompts total.");
-            var countToInclude = 8;
-            var onlyFirstNChars = 300;
+            Logger.Log($"loaded {sourcePrompts.Count} prompts total.");
+            var countToInclude = 4;
+            var totalLengthCount = 3000;            
 
             for (var ii = 0; ii < ImageCreationLimit * 2; ii++)
             {
+                var usingCountToInclude=Random.Shared.Next(1, countToInclude);
+                var onlyFirstNChars = totalLengthCount / countToInclude;
                 var allthem = new List<string>();
-                for (var jj = 0; jj < countToInclude; jj++)
+                for (var jj = 0; jj < usingCountToInclude; jj++)
                 {
                     var randomIndex = Random.Shared.Next(0, sourcePrompts.Count);
 
@@ -108,7 +110,8 @@ private IEnumerable<PromptDetails> GetPrompts()
                 var joined = string.Join("\r\n--- ", allthem.OrderBy(el=>el.Length));
 
                 var combined = $"{joined}";
-                Console.WriteLine(combined);
+
+                Logger.Log(combined);
                 var pd = new PromptDetails();
                 pd.ReplacePrompt(combined, combined, TransformationType.InitialPrompt);
                 pd.IdentifyingConcept = "";
diff --git a/MultiImageClient/promptGenerators/LoadFromFile.cs b/MultiImageClient/promptGenerators/LoadFromFile.cs
index a94d305..f1a8934 100644
--- a/MultiImageClient/promptGenerators/LoadFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadFromFile.cs
@@ -25,9 +25,9 @@ public LoadFromFile(Settings settings, string path) : base(settings)
 
         public override string Name => nameof(LoadFromFile);
 
-        public override int ImageCreationLimit => 900;
-        public override int CopiesPer => 1;
-        public override int FullyResolvedCopiesPer => 3;
+        public override int ImageCreationLimit => 40;
+        public override int CopiesPer => 2;
+        public override int FullyResolvedCopiesPer => 2;
         public override bool RandomizeOrder => true;
         public override string Prefix => "";
         public override IEnumerable<string> Variants => new List<string> { "" };
@@ -45,13 +45,16 @@ private IEnumerable<PromptDetails> GetPrompts()
             var sourceFPs = new List<string>() {
                 "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt",
                 "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
-                "D:\\proj\\prompts3.txt" };
+                //"D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
+                //"D:\\proj\\prompts3.txt" 
+            };
             
             if (!string.IsNullOrEmpty(FilePath)) {
                 sourceFPs.Add(FilePath);
             }
 
+            var allPromptsRaw = new List<string>();
+
             foreach (var fp in sourceFPs)
             {
                 var items = File.ReadAllLines(fp).ToList();
@@ -61,17 +64,21 @@ private IEnumerable<PromptDetails> GetPrompts()
                     {
                         continue;
                     }
-                    sourceFPs.Add(usePrompt);
+                    if (string.IsNullOrEmpty(usePrompt))
+                    {
+                        continue;
+                    }
+                    allPromptsRaw.Add(usePrompt);
                 }
             }
 
-            Console.WriteLine($"loaded {sourceFPs.Count} prompts total.");
+            Logger.Log($"loaded {allPromptsRaw.Count} prompts total.");
 
             for (var ii = 0; ii < ImageCreationLimit; ii++)
             {
-                var aa = Random.Shared.Next(0, sourceFPs.Count);
+                var aa = Random.Shared.Next(0, allPromptsRaw.Count);
                 var pd = new PromptDetails();
-                var usePrompt = sourceFPs[aa];
+                var usePrompt = allPromptsRaw[aa];
                 pd.ReplacePrompt(usePrompt, usePrompt, TransformationType.InitialPrompt);
                 pd.IdentifyingConcept = "";
 
diff --git a/MultiImageClient/promptGenerators/RecraftAllsStyles.cs b/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
new file mode 100644
index 0000000..f842353
--- /dev/null
+++ b/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
@@ -0,0 +1,97 @@
+using CommandLine;
+
+using Microsoft.VisualBasic;
+
+using Newtonsoft.Json.Linq;
+
+using RecraftAPIClient;
+
+using System;
+using System.Collections;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.Diagnostics.Metrics;
+using System.Drawing.Drawing2D;
+using System.IO;
+using System.Linq;
+using System.Net;
+using System.Numerics;
+using System.Reflection;
+using System.Reflection.Metadata.Ecma335;
+using System.Runtime.ConstrainedExecution;
+using System.Runtime.InteropServices;
+using System.Security.Cryptography;
+using System.Text.RegularExpressions;
+using System.Threading;
+using System.Xml.Linq;
+
+using static System.Formats.Asn1.AsnWriter;
+
+namespace MultiImageClient
+{
+    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
+    public class RecraftAllsStyles : AbstractPromptGenerator
+    {
+
+        public RecraftAllsStyles(Settings settings) : base(settings)
+        {
+        }
+        public override string Name => nameof(WriteHere);
+
+        public override int ImageCreationLimit => 350;
+        public override int CopiesPer => 1;
+        public override bool RandomizeOrder => false;
+        public override string Prefix => "";
+        public override IEnumerable<string> Variants => new List<string> { "" };
+        public override string Suffix => "";
+        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
+        public override bool AlsoDoVersionSkippingClaude => true;
+        public override bool UseIdeogram => false;
+        public override bool UseClaude => false;
+        public override bool SaveFullAnnotation => true;
+        public override bool SaveInitialIdea => false;
+        public override bool SaveFinalPrompt => false;
+        public override bool SaveJustOverride => true;
+
+        private IEnumerable<PromptDetails> GetPrompts()
+        {
+            var res = new List<PromptDetails>();
+            foreach (RecraftStyle style in Enum.GetValues(typeof(RecraftStyle)))
+            {
+                var substyles = style switch
+                {
+                    RecraftStyle.realistic_image => Enum.GetValues(typeof(RecraftRealisticImageSubstyles)),
+                    RecraftStyle.vector_illustration => Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles)),
+                    RecraftStyle.digital_illustration => Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles)),
+                    _ => throw new ArgumentException($"Unknown style: {style}")
+                };
+                
+                foreach (object substyle in substyles)
+                {
+                    var recraftDetails = new RecraftDetails
+                    {
+                        style = style.ToString(),
+                        size = RecraftImageSize._1707x1024,
+                    };
+                    recraftDetails.substyle = substyle.ToString();
+                    var usingSub = substyle.ToString().TrimStart('_');
+                    recraftDetails.substyle = usingSub;
+                    var pd = new PromptDetails();
+                    var prompt = "A magnificent tower in an epic plain, ruins and hidden secrets, super detailed and high resolution, incredibly deep and profound, with hidden creatures and erosion, and a cute semi-hidden kitten.";
+                    pd.ReplacePrompt(prompt, prompt , TransformationType.InitialPrompt);
+                    
+                    pd.IdentifyingConcept = $"{style}\t{usingSub}\tmagnificent tower in an epic plain";
+                    
+                    pd.RecraftDetails = recraftDetails;
+                    Logger.Log($"Trying style, substyle: {style} {usingSub}");
+                    res.Add(pd);
+                }
+            }
+            return res;
+        }
+        
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el => Random.Shared.Next());
+    }
+}
+
+
diff --git a/MultiImageClient/promptGenerators/WriteHere.cs b/MultiImageClient/promptGenerators/WriteHere.cs
index 26fbbac..73aa14f 100644
--- a/MultiImageClient/promptGenerators/WriteHere.cs
+++ b/MultiImageClient/promptGenerators/WriteHere.cs
@@ -4,6 +4,8 @@
 
 using Newtonsoft.Json.Linq;
 
+using RecraftAPIClient;
+
 using System;
 using System.Collections;
 using System.Collections.Generic;
@@ -13,11 +15,13 @@
 using System.IO;
 using System.Linq;
 using System.Net;
+using System.Numerics;
 using System.Reflection;
 using System.Reflection.Metadata.Ecma335;
 using System.Runtime.ConstrainedExecution;
 using System.Runtime.InteropServices;
 using System.Security.Cryptography;
+using System.Text.RegularExpressions;
 using System.Threading;
 using System.Xml.Linq;
 
@@ -47,17 +51,19 @@ public WriteHere(Settings settings) : base(settings)
 
         private IEnumerable<PromptDetails> GetPrompts()
         {
-            var prompts = new List<string>() {
-                "A completely normal light switch for a 1990s american north eastern area wall, in the 'on' position",
-                "a hybrid cat-turtle creature enjoying sunning herself on a log.",
-                "A modern building with a reflective glass facade. The building's reflection captures another tower, possibly a skyscraper. The image has text overlay that reads 'How Buildings Learn' written in white font against a dark background. The text 'written and presented by Stewart Brand' is also visible at the bottom.",
-                "Close-up of a super clear and sharp photo of a perfectly preserved tablet covered with many ancient, alien styles of kanji characters created with the finest jewels, obsidian, intensely emotional and creative, in a semi-grid, clean and pure incredible macro photograph.",
-                "The streets of Singapore are bustling with people and various street food stalls, creating a lively and multicultural atmosphere. The area is full of guava, cheese, broccoli, kimchi, hardboiled eggs, vinegar, and durian. Each smell seems to waft through the crowd attacking people and animals who are particularly weak to it, striking them with brutal overwhelming negative sensations. This is a biological weapon attack! the image is a schema overhead view with detailed performance analysis\r\nA light switch that is clearly in the \"ON\" not \"OFF\" position. Please describe this close-up 3d depth image in high detail exactly describing the light switch panel and its material and color, the switch which sticks out, its position and what the position represents.",
-                "A 4x4 grid of super magiscule, block font dense intense incredibly meaningful, profound, ethereal, and subtle KANJI characters. The characters are illustrated in super high resolution, partially 3d style, feeling like they almost emerge from the flat screen, in a super clear image utilizing one or more of: subtle coloration, unusual line thicknesses or variations, unusual kerning, pen and ink, hand-drawn custom artisinal creative characters, and/or super evocative, personalized textures.",
-                "Introducing the \"Rogue\" card, an exciting new addition between the Queen and Jack of Diamonds in a standard playing card deck. The Rogue card features a dashing figure with a masked face, holding a small, curved dagger. The figure is adorned with a cape and a diamond-encrusted hat, symbolizing the connection to the Diamonds suit. The single-letter symbol for the Rogue card is \"X\", which is displayed in each corner along with the suit of Diamonds. The card's design maintains the simplicity of traditional playing cards, with the \"X\" and diamonds in the corners and a captivating, yet minimalist, pattern in the middle, featuring a subtle diamond-like motif. The Rogue card captures the essence of cunning and deception, adding an exciting twist to the classic deck.\r\n\U0001f955 attacking 🐢 with \U0001f98a",
-"An immense tower of magical prortions, ancient, surrounded by a barren environment with just a hint of change and evolution, incredibly deep depth of field, epic ancient",
-
-            };
+            List<string> prompts = new List<string>
+{
+    "A highly detailed digital painting, warmly lit, showing Charles—an extraordinarily thin young man with messy black hair—inside his cramped studio apartment at night, facing an old, grandfatherly figure in a red-and-white Santa suit who just appeared unexpectedly. Locks on the apartment door and simple, industrial-themed furnishings are visible, emphasizing the surreal intrusion of the old Santa amid the mundane setting.",
+    "An intricate illustration of the North Pole’s List Room: a vast, stadium-like interior lined with tens of thousands of polished wooden desks in concentric rings. Enormous scrolls of paper hang from the high domed ceiling, each so thick they coil around metal bars. Scores of pointed-eared elves—dressed in red, green, and gold—hunch over their desks, writing and scrutinizing three-dimensional viewers that float above the angled surfaces, all under a diffuse, magical glow.",
+    "A richly detailed image of Kelvin, a head elf with golden epaulettes and a serious expression, guiding Charles through the List Room. They stand at one particular desk, angled like an architect’s drafting table, where a flat, crystal-clear viewer shows a child walking along a city sidewalk. The elves around them wear festive but restrained outfits of red and green, and behind them loom the monumental scrolls and countless workstations.",
+    "A large workshop filled with warm lamplight and rows of sturdy wooden benches, each bearing a strange metal iris connected to a glass pipe filled with gray magical ‘dough.’ Elves in festive attire carefully shape the dough into children’s gifts—a small plastic frog in one case—by hand. Tools, ribbons, and bright wrapping papers are scattered about, with half-finished trinkets and toys lending a tactile, handcrafted atmosphere.",
+    "A meticulously rendered stable scene, where elegant, strong-limbed reindeer stand in neat rows, their antlers adorned with subtle silver bells. The wooden stable walls are hung with wreaths and holly. At the center, the gleaming red sleigh awaits, its runners reflecting the straw and hay below, while elves tend lovingly to the creatures and ensure everything is perfectly prepared.",
+    "A grand set of private chambers designed for Santa: luxurious, slightly gaudy furnishings, plush rugs, and carved wood accents. Among these comforts stands Charles, now wearing the red-and-white suit that still doesn’t quite fit. Beside him is Matilda, a petite elf with long black hair, offering him exquisite notebooks and pens. On a side table is the mechanical viewer, dials and levers gleaming, ready to reveal the Earth from orbit.",
+    "Inside the workshop again, this time focusing closely on a single elf holding a shape-shifting ball of gray dough, trying to form an impossible gift that would maximize a child’s happiness. The elf’s brow is furrowed in concentration, the device half-transformed into something ominous. In the background, Charles stands horrified, notebooks in hand, as colorful presents and decorations create a bizarre contrast to his moral dilemma.",
+    "A dramatic nighttime rooftop scene in some metropolitan area on Earth. Two indistinguishable copies of Charles—both strong and fluid in motion—confront James, the old Santa now in a human disguise. The air crackles with tension. Below them, city lights and confused pedestrians blur. The style remains painterly and detailed, capturing the swift, inhuman fight through elongated shadows and dynamic poses.",
+    "A vast emptiness where the North Pole once stood: the cavernous List Room and workshops are gone, leaving only a blank white expanse with faint echoes of candy canes, wreaths, and gold trim. A subtle shimmer in the air hints that the elves, once so numerous and devout, have departed entirely. The atmosphere is both peaceful and melancholic, shafts of pale light accenting the pristine emptiness.",
+    "A serene, intimate nighttime bedroom in rural China. A small girl, Li Xiu Yang, lies asleep in a simple bed. Charles, now appearing gentler and more resolved, stands beside her, pressing a tiny silver marble to her forehead. Outside the window, the moonlight bathes quiet rooftops. The style remains consistent and painterly, every detail—her soft blanket, modest furniture, a stray toy on the floor—rendered lovingly as he bestows this final, hopeful gift."
+};
             foreach (var prompt in prompts)
             {
                 var pd = new PromptDetails();
@@ -66,7 +72,8 @@ private IEnumerable<PromptDetails> GetPrompts()
                 yield return pd;
             }
         }
-        public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el=> Random.Shared.Next());
+        public override IEnumerable<PromptDetails> Prompts => GetPrompts().OrderBy(el => Random.Shared.Next());
     }
 }
 
+
diff --git a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
index cf1cbd3..f494b92 100644
--- a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
+++ b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
@@ -28,15 +28,15 @@ public async Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats s
         {
             var preparedClaudePrompt = $"{_prefix}\nHere is the topic:\n'{pd.Prompt}'\n{_suffix}".Trim();
             var preparedClaudePromptWithTemp = $"temp={_temperature} {preparedClaudePrompt}";
-            pd.ReplacePrompt(preparedClaudePrompt, preparedClaudePromptWithTemp, TransformationType.ClauedeRewriteRequest);
+            pd.ReplacePrompt(preparedClaudePrompt, preparedClaudePromptWithTemp, TransformationType.ClaudeRewriteRequest);
 
             var response = await _claudeService.RewritePromptAsync(pd, stats, _temperature);
             if (!response.IsSuccess)
             {
-                Console.WriteLine($"\tClaude fail so reverting FROM: {pd.Show()}");
+                Logger.Log($"\tClaude fail so reverting FROM: {pd.Show()}");
                 pd.UndoLastStep();
                 //pd.UndoLastStep();
-                Console.WriteLine($"\tClaude fail so reverted TO: {pd.Show()}");
+                Logger.Log($"\tClaude fail so reverted TO: {pd.Show()}");
                 pd.ReplacePrompt(pd.Prompt, response.ErrorMessage, TransformationType.ClaudeDidRefuseRewrite);
                 
                 return false;
diff --git a/RecraftAPI/Program.cs b/RecraftAPI/Program.cs
new file mode 100644
index 0000000..3eb3cad
--- /dev/null
+++ b/RecraftAPI/Program.cs
@@ -0,0 +1,28 @@
+using CommandLine;
+
+using MultiImageClient;
+
+using System;
+using System.Threading.Tasks;
+
+namespace RecraftAPIClient
+{
+    public class Program
+    {
+        static async Task<int> Main(string[] args)
+        {
+            var details = new RecraftDetails()
+            {
+                size = RecraftImageSize._1707x1024,
+                style = RecraftStyle.vector_illustration.ToString(),
+                substyle = RecraftVectorIllustrationSubstyles.cosmics.ToString(),
+            };
+
+            var cli = new RecraftClient("ly990g6UShz0ODtjMoqUnpOqfQF935fG3dEjq5kHLMrF18EojUxw3FfOin3Xyrib");
+            var res = await cli.GenerateImageAsync("A cute puppy playing in a garden", details);
+            res.Data.ForEach(x => Console.WriteLine(x.Url));
+            return 0;
+        }
+    }
+    //does not have a suitable main method? 
+}
diff --git a/RecraftAPI/RecraftAPIClient.csproj b/RecraftAPI/RecraftAPIClient.csproj
new file mode 100644
index 0000000..e975776
--- /dev/null
+++ b/RecraftAPI/RecraftAPIClient.csproj
@@ -0,0 +1,24 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net6.0</TargetFramework>
+    <LangVersion>10.0</LangVersion>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <ProjectGuid>{5A29AA17-8556-4456-8FFC-E8E2AF015537}</ProjectGuid>
+    <Platforms>AnyCPU;ARM64</Platforms>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
+    <PackageReference Include="CommandLineParser" Version="2.9.1" />
+    <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
+    <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\ImageGenerationClasses\ImageGenerationClasses.csproj" />
+  </ItemGroup>
+
+</Project>
\ No newline at end of file
diff --git a/RecraftAPI/RecraftClient.cs b/RecraftAPI/RecraftClient.cs
new file mode 100644
index 0000000..742b95c
--- /dev/null
+++ b/RecraftAPI/RecraftClient.cs
@@ -0,0 +1,193 @@
+using Newtonsoft.Json;
+
+using System.Collections.Generic;
+using System.Net.Http;
+using System.Text;
+using System.Threading.Tasks;
+
+
+using MultiImageClient;
+
+using System;
+
+namespace RecraftAPIClient
+{
+    public class RecraftClient
+    {
+        private readonly HttpClient _httpClient;
+        private readonly string _apiKey;
+        private const string _baseUrl = "https://external.api.recraft.ai/v1";
+
+        public RecraftClient(string apiKey)
+        {
+            _apiKey = apiKey;
+            _httpClient = new HttpClient();
+            _httpClient.DefaultRequestHeaders.Add("Authorization", $"Bearer {apiKey}");
+        }
+
+
+        public async Task<GenerationResponse> GenerateImageAsync(string prompt, RecraftDetails recraftDetails)
+        {
+            var stringSubstyle = "";
+
+            stringSubstyle = recraftDetails.substyle;
+
+            string serialized = "";
+            
+
+            if (recraftDetails.style == "any") {
+                serialized = JsonConvert.SerializeObject(new
+                {
+                    prompt,
+                    model = "recraftv3",
+                    style = recraftDetails.style,
+                    size = recraftDetails.size.ToString().TrimStart('_'),
+                    response_format = "url"
+                });
+            }
+            else
+            {
+                serialized = JsonConvert.SerializeObject(new
+                {
+                    prompt,
+                    model = "recraftv3",
+                    style = recraftDetails.style,
+                    substyle = recraftDetails.substyle,
+                    size = recraftDetails.size.ToString().TrimStart('_'),
+                    response_format = "url"
+                });
+            }
+
+
+
+            var content = new StringContent(
+                serialized,
+                Encoding.UTF8,
+                "application/json"
+            );
+
+            var response = await _httpClient.PostAsync($"{_baseUrl}/images/generations", content);
+            await EnsureSuccessfulResponse(response);
+
+            var responseContent = await response.Content.ReadAsStringAsync();
+
+            return JsonConvert.DeserializeObject<GenerationResponse>(responseContent);
+        }
+
+        public async Task<StyleResponse> CreateStyleAsync(byte[] imageData, RecraftStyle style)
+        {
+            using var content = new MultipartFormDataContent();
+            content.Add(new ByteArrayContent(imageData), "file", "image.png");
+            content.Add(new StringContent(style.ToString().ToLower()), "style");
+
+            var response = await _httpClient.PostAsync($"{_baseUrl}/styles", content);
+            await EnsureSuccessfulResponse(response);
+
+            var responseContent = await response.Content.ReadAsStringAsync();
+            return JsonConvert.DeserializeObject<StyleResponse>(responseContent);
+        }
+
+        public async Task<ImageResponse> VectorizeImageAsync(byte[] imageData, string responseFormat = "url")
+        {
+            using var content = new MultipartFormDataContent();
+            content.Add(new ByteArrayContent(imageData), "file", "image.png");
+            if (responseFormat != "url")
+            {
+                content.Add(new StringContent(responseFormat), "response_format");
+            }
+
+            var response = await _httpClient.PostAsync($"{_baseUrl}/images/vectorize", content);
+            await EnsureSuccessfulResponse(response);
+
+            var responseContent = await response.Content.ReadAsStringAsync();
+            return JsonConvert.DeserializeObject<ImageResponse>(responseContent);
+        }
+
+        public async Task<ImageResponse> RemoveBackgroundAsync(byte[] imageData, string responseFormat = "url")
+        {
+            using var content = new MultipartFormDataContent();
+            content.Add(new ByteArrayContent(imageData), "file", "image.png");
+            if (responseFormat != "url")
+            {
+                content.Add(new StringContent(responseFormat), "response_format");
+            }
+
+            var response = await _httpClient.PostAsync($"{_baseUrl}/images/removeBackground", content);
+            await EnsureSuccessfulResponse(response);
+
+            var responseContent = await response.Content.ReadAsStringAsync();
+            return JsonConvert.DeserializeObject<ImageResponse>(responseContent);
+        }
+
+        public async Task<ImageResponse> ClarityUpscaleAsync(byte[] imageData, string responseFormat = "url")
+        {
+            using var content = new MultipartFormDataContent();
+            content.Add(new ByteArrayContent(imageData), "file", "image.png");
+            if (responseFormat != "url")
+            {
+                content.Add(new StringContent(responseFormat), "response_format");
+            }
+
+            var response = await _httpClient.PostAsync($"{_baseUrl}/images/clarityUpscale", content);
+            await EnsureSuccessfulResponse(response);
+
+            var responseContent = await response.Content.ReadAsStringAsync();
+            return JsonConvert.DeserializeObject<ImageResponse>(responseContent);
+        }
+
+        public async Task<ImageResponse> GenerativeUpscaleAsync(byte[] imageData, string responseFormat = "url")
+        {
+            using var content = new MultipartFormDataContent();
+            content.Add(new ByteArrayContent(imageData), "file", "image.png");
+            if (responseFormat != "url")
+            {
+                content.Add(new StringContent(responseFormat), "response_format");
+            }
+
+            var response = await _httpClient.PostAsync($"{_baseUrl}/images/generativeUpscale", content);
+            await EnsureSuccessfulResponse(response);
+
+            var responseContent = await response.Content.ReadAsStringAsync();
+            return JsonConvert.DeserializeObject<ImageResponse>(responseContent);
+        }
+
+        private async Task EnsureSuccessfulResponse(HttpResponseMessage response)
+        {
+            if (!response.IsSuccessStatusCode)
+            {
+                var error = await response.Content.ReadAsStringAsync();
+                throw new HttpRequestException($"API request failed: {response.StatusCode} - {error}");
+            }
+        }
+    }
+
+    public class GenerationResponse
+    {
+        [JsonProperty("data")]
+        public List<ImageData> Data { get; set; }
+
+        [JsonProperty("created")]
+        public long Created { get; set; }
+    }
+
+    public class StyleResponse
+    {
+        [JsonProperty("id")]
+        public string Id { get; set; }
+    }
+
+    public class ImageResponse
+    {
+        [JsonProperty("image")]
+        public ImageData Image { get; set; }
+    }
+
+    public class ImageData
+    {
+        [JsonProperty("url")]
+        public string Url { get; set; }
+
+        [JsonProperty("b64_json")]
+        public string Base64Json { get; set; }
+    }
+}
\ No newline at end of file
diff --git a/RecraftAPI/RecraftDetails.cs b/RecraftAPI/RecraftDetails.cs
new file mode 100644
index 0000000..f785545
--- /dev/null
+++ b/RecraftAPI/RecraftDetails.cs
@@ -0,0 +1,42 @@
+using MultiImageClient;
+
+namespace RecraftAPIClient
+{
+    public class RecraftDetails : IDetails
+    {
+        public RecraftImageSize size { get; set; }
+        public string style { get; set; } = "";
+        public string substyle { get; set; } = "";
+
+        public RecraftDetails() { }
+
+        public string GetFullStyleName()
+        {
+            switch (style)
+            {
+                case "digital_illustration":
+                    return $"{nameof(RecraftStyle.digital_illustration)} - {substyle}";
+                case "realistic_image":
+                    return $"{nameof(RecraftStyle.realistic_image)} - {substyle}";
+                case "vector_illustration":
+                    return $"{nameof(RecraftStyle.vector_illustration)} - {substyle}";
+                case "any":
+                    return "Any Style";
+                default:
+                    return "Unknown";
+            }
+        }
+
+        public string GetDescription()
+        {
+            return $"{size}-{style}-{substyle}";
+        }
+
+        public RecraftDetails(RecraftDetails other)
+        {
+            size = other.size;
+            substyle = other.substyle;
+            style = other.style;
+        }
+    }
+}
diff --git a/RecraftAPI/RecraftDigitalIllustrationSubstyles.cs b/RecraftAPI/RecraftDigitalIllustrationSubstyles.cs
new file mode 100644
index 0000000..51fa9ef
--- /dev/null
+++ b/RecraftAPI/RecraftDigitalIllustrationSubstyles.cs
@@ -0,0 +1,44 @@
+namespace RecraftAPIClient
+{
+    public enum RecraftDigitalIllustrationSubstyles
+    {
+        _2d_art_poster = 1,
+        _2d_art_poster_2 = 2,
+        engraving_color = 3,
+        grain = 4,
+        hand_drawn = 5,
+        hand_drawn_outline = 6,
+        handmade_3d = 7,
+        infantile_sketch = 8,
+        pixel_art = 9,
+        antiquarian = 10,
+        bold_fantasy = 11,
+        child_book = 12,
+        cover = 13,
+        crosshatch = 14,
+        digital_engraving = 15,
+        expressionism = 16,
+        freehand_details = 17,
+        grain_20 = 18,
+        graphic_intensity = 19,
+        hard_comics = 20,
+        long_shadow = 21,
+        modern_folk = 22,
+        multicolor = 23,
+        neon_calm = 24,
+        noir = 25,
+        nostalgic_pastel = 26,
+        outline_details = 27,
+        pastel_gradient = 28,
+        pastel_sketch = 29,
+        pop_art = 30,
+        pop_renaissance = 31,
+        street_art = 32,
+        tablet_sketch = 33,
+        urban_glow = 34,
+        urban_sketching = 35,
+        vanilla_dreams = 36,
+        young_adult_book = 37,
+        young_adult_book_2 = 38,
+    }
+}
diff --git a/RecraftAPI/RecraftImageSize.cs b/RecraftAPI/RecraftImageSize.cs
new file mode 100644
index 0000000..202ad04
--- /dev/null
+++ b/RecraftAPI/RecraftImageSize.cs
@@ -0,0 +1,21 @@
+namespace RecraftAPIClient
+{
+    public enum RecraftImageSize
+    {
+        _1024x1024 = 1,
+        _1365x1024 = 2,
+        _1024x1365 = 3,
+        _1536x1024 = 4,
+        _1024x1536 = 5,
+        _1820x1024 = 6,
+        _1024x1820 = 7,
+        _1024x2048 = 8,
+        _2048x1024 = 9,
+        _1434x1024 = 10,
+        _1024x1434 = 11,
+        _1024x1280 = 12,
+        _1280x1024 = 13,
+        _1024x1707 = 14,
+        _1707x1024 = 15
+    }
+}
diff --git a/RecraftAPI/RecraftRealisticImageSubstyles.cs b/RecraftAPI/RecraftRealisticImageSubstyles.cs
new file mode 100644
index 0000000..d5f9161
--- /dev/null
+++ b/RecraftAPI/RecraftRealisticImageSubstyles.cs
@@ -0,0 +1,25 @@
+namespace RecraftAPIClient
+{
+    public enum RecraftRealisticImageSubstyles
+    {
+        b_and_w = 1,
+        enterprise = 2,
+        evening_light = 3,
+        faded_nostalgia = 4,
+        forest_life = 5,
+        hard_flash = 6,
+        hdr = 7,
+        motion_blur = 8,
+        mystic_naturalism = 9,
+        natural_light = 10,
+        natural_tones = 11,
+        organic_calm = 12,
+        real_life_glow = 13,
+        retro_realism = 14,
+        retro_snapshot = 15,
+        studio_portrait = 16,
+        urban_drama = 17,
+        village_realism = 18,
+        warm_folk = 19,
+    }
+}
diff --git a/RecraftAPI/RecraftStyle.cs b/RecraftAPI/RecraftStyle.cs
new file mode 100644
index 0000000..97cf016
--- /dev/null
+++ b/RecraftAPI/RecraftStyle.cs
@@ -0,0 +1,9 @@
+namespace RecraftAPIClient
+{
+    public enum RecraftStyle
+    {
+        digital_illustration = 1,
+        realistic_image = 2,
+        vector_illustration = 3,
+    }
+}
diff --git a/RecraftAPI/RecraftVectorIllustrationSubstyles.cs b/RecraftAPI/RecraftVectorIllustrationSubstyles.cs
new file mode 100644
index 0000000..8867ae7
--- /dev/null
+++ b/RecraftAPI/RecraftVectorIllustrationSubstyles.cs
@@ -0,0 +1,29 @@
+namespace RecraftAPIClient
+{
+    public enum RecraftVectorIllustrationSubstyles
+    {
+        bold_stroke = 1,
+        chemistry = 2,
+        colored_stencil = 3,
+        contour_pop_art = 4,
+        cosmics = 5,
+        cutout = 6,
+        depressive = 7,
+        editorial = 8,
+        emotional_flat = 9,
+        engraving = 10,
+        infographical = 11,
+        line_art = 12,
+        line_circuit = 13,
+        linocut = 14,
+        marker_outline = 15,
+        mosaic = 16,
+        naivector = 17,
+        roundish_flat = 18,
+        segmented_colors = 19,
+        sharp_contrast = 20,
+        thin = 21,
+        vector_photo = 22,
+        vivid_shapes = 23,
+    }
+}

From ebdb7963168e12068ff96278a0a567ebe1b47201 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 20 Apr 2025 16:46:08 -0700
Subject: [PATCH 10/78] in-progress,

---
 .gitignore                                    |   2 +-
 .../Enums/ImageGeneratorApiType.cs            |   2 +-
 MultiImageClient/ImageCombiner.cs             | 176 +++++++++---------
 .../Implementation/AbstractPromptGenerator.cs |  12 +-
 MultiImageClient/Implementation/TextUtils.cs  |  10 +-
 MultiImageClient/Program.cs                   |  24 ++-
 .../SamePromptMultipleTargetsWorkflow.cs.cs   |  84 +++++----
 .../imageGenerators/RecraftGenerator.cs       |   2 +-
 .../promptGenerators/DeckOfCards.cs           |   1 -
 .../promptGenerators/EmotionFaces.cs          |   2 +-
 .../promptGenerators/LoadDoubleFromFile.cs    |   4 -
 .../promptGenerators/LoadFromFile.cs          |  17 +-
 .../promptGenerators/RecraftAllsStyles.cs     |   4 -
 .../promptGenerators/ScenesFromStory.cs       |   2 +-
 .../promptGenerators/SinglePromptGenerator.cs |   4 -
 .../promptGenerators/StillLife.cs             |   2 +-
 MultiImageClient/promptGenerators/TPSigns.cs  |   2 +-
 .../promptGenerators/WriteHere.cs             |   4 -
 Temp.txt                                      |   1 +
 19 files changed, 179 insertions(+), 176 deletions(-)
 create mode 100644 Temp.txt

diff --git a/.gitignore b/.gitignore
index 9b49eba..86eac92 100644
--- a/.gitignore
+++ b/.gitignore
@@ -8,4 +8,4 @@
 **/ideogram_pages/**
 **/ideogram_data_all.json
 /MultiImageClient/claude-bad.txt
-/djangoManager/imageMaker/logs/django.log
+/djangoManager/imageMaker/logs/django.log
\ No newline at end of file
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index cf28e1f..4917f98 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -8,6 +8,6 @@ public enum ImageGeneratorApiType
         Dalle3 = 2,
         Ideogram = 3,
         BFL = 4,
-        Recraft= 5,
+        Recraft = 5,
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/ImageCombiner.cs b/MultiImageClient/ImageCombiner.cs
index 7391ca3..d1029f9 100644
--- a/MultiImageClient/ImageCombiner.cs
+++ b/MultiImageClient/ImageCombiner.cs
@@ -1,5 +1,4 @@
-
-using System;
+using System;
 using System.Collections.Generic;
 using System.Drawing.Text;
 using System.Drawing;
@@ -8,64 +7,43 @@
 using System.Net;
 using System.Text;
 using System.Threading.Tasks;
+using System.Timers;
 
 namespace MultiImageClient
 {
     internal class ImageCombiner
     {
-        internal void SaveMultipleImagesWithSubtitle(Dictionary<ImageGeneratorApiType, TaskProcessResult> multiResults, Settings settings, string prompt)
+        /// when combining images generated by multiple sources, if one fails, use this as the placeholder image width.
+        private static int failWidth = 300;
+        
+        internal void SaveMultipleImagesWithSubtitle(
+            (bool IsSuccess, Image Image, ImageGeneratorApiType ImageGenerator)[] createdImages,
+            Settings settings,
+            string prompt)
         {
-            // Download and load all images into memory
-            var loadedImages = new List<(Image img, ImageGeneratorApiType engine)>();
-            foreach (var kvp in multiResults)
-            {
-                var result = kvp.Value;
-                if (result.IsSuccess && !string.IsNullOrEmpty(result.Url))
-                {
-                    try
-                    {
-                        using (var wc = new WebClient())
-                        {
-                            var data = wc.DownloadData(result.Url);
-                            using (var ms = new MemoryStream(data))
-                            {
-                                var image = Image.FromStream(ms);
-                                loadedImages.Add((image, kvp.Key));
-                            }
-                        }
-                    }
-                    catch (Exception ex)
-                    {
-                        // Handle download or image load errors as needed
-                        Console.WriteLine($"Could not load image from {result.Url}: {ex.Message}");
-                    }
-                }
-            }
-
-            if (loadedImages.Count == 0)
-            {
-                Console.WriteLine("No images to combine.");
-                return;
-            }
-
-            // Determine layout
-            // We'll place images horizontally, so total width = sum of all widths
-            // Height = max image height + height for subtitle text + height for prompt text
-            // We'll use a fixed font for subtitles and prompt.
             var fontForSubtitle = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
             var fontForPrompt = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
 
             int totalWidth = 0;
-            int maxImageHeight = 0;
-            foreach (var (img, engine) in loadedImages)
+            var totalLoaded = createdImages.Where(el => el.IsSuccess == true).Count();
+            int maxImageHeight = 500;
+            if (totalLoaded > 0) {
+                maxImageHeight = createdImages.Where(el => el.IsSuccess == true).Max(el => el.Image.Height);
+            }
+            foreach (var (success, image, imageGenerator) in createdImages)
             {
-                totalWidth += img.Width;
-                if (img.Height > maxImageHeight)
-                    maxImageHeight = img.Height;
+                if (success)
+                {
+                    totalWidth += image.Width;
+                }
+                else
+                {
+                    //we should just put a blank box here with text on the bottom describing the error or whatever.
+                    totalWidth += failWidth;
+                }                    
             }
 
             // Measure text height
-            // We'll create a temporary bitmap to measure the height of text lines.
             int subtitleHeight = 0;
             int promptHeight = 0;
 
@@ -74,19 +52,12 @@ internal void SaveMultipleImagesWithSubtitle(Dictionary<ImageGeneratorApiType, T
             {
                 g.TextRenderingHint = TextRenderingHint.AntiAliasGridFit;
 
-                // Measure max engine name height
-                // We assume each engine name is a single word like "Midjourney", "Dalle3", etc.
-                // We'll just measure the line height once since it's the same font and size.
-                var engines = loadedImages.Select(x => x.engine.ToString()).ToArray();
-                foreach (var e in engines)
+                foreach (var (success, image, imageGenerator) in createdImages)
                 {
-                    var size = g.MeasureString(e, fontForSubtitle);
-                    var h = (int)Math.Ceiling(size.Height);
-                    if (h > subtitleHeight)
-                        subtitleHeight = h;
+                    var size = g.MeasureString(imageGenerator.ToString(), fontForSubtitle);
+                    subtitleHeight = Math.Max(subtitleHeight, (int)Math.Ceiling(size.Height));
                 }
 
-                // Measure prompt line height
                 var promptSize = g.MeasureString(prompt, fontForPrompt);
                 promptHeight = (int)Math.Ceiling(promptSize.Height);
             }
@@ -100,61 +71,86 @@ internal void SaveMultipleImagesWithSubtitle(Dictionary<ImageGeneratorApiType, T
                 g.Clear(Color.White);
                 g.TextRenderingHint = TextRenderingHint.AntiAliasGridFit;
 
-                // Draw all images horizontally
                 int currentX = 0;
-                foreach (var (img, engine) in loadedImages)
+                foreach (var (success, image, imageGenerator) in createdImages)
                 {
-                    // Draw the image at (currentX, 0)
-                    g.DrawImage(img, currentX, 0, img.Width, img.Height);
-
-                    // Draw the engine name below the image
-                    var engineName = engine.ToString();
-                    var engineNameSize = g.MeasureString(engineName, fontForSubtitle);
-                    var engineTextX = currentX + (img.Width - (int)engineNameSize.Width) / 2;
-                    if (engineTextX < currentX) engineTextX = currentX; // safety check
-                    var engineTextY = maxImageHeight; // right below the image
-                    g.DrawString(engineName, fontForSubtitle, Brushes.Black, new PointF(engineTextX, engineTextY));
-
-                    currentX += img.Width;
+                    var successText = "";
+                    var engineName = imageGenerator.ToString();
+                    var usingWidth = image?.Width ?? failWidth;
+
+                    if (success)
+                    {
+                        successText = $"ok {engineName}";
+                        g.DrawImage(image, currentX, 0, image.Width, image.Height);
+
+                    }
+                    else
+                    {
+                        successText = $"fail {engineName}";
+                    }
+                    var engineNameSize = g.MeasureString(successText, fontForSubtitle);
+                    var engineTextX = currentX + (usingWidth - (int)engineNameSize.Width) / 2;
+                    var engineTextY = maxImageHeight;
+
+                    g.DrawString(successText, fontForSubtitle, Brushes.Black, new PointF(engineTextX, engineTextY));
+
+                    if (success)
+                    {
+                        currentX += image.Width;
+                    }
+                    else
+                    {
+                        currentX += failWidth;
+                    }
                 }
 
-                // Draw the prompt line at the very bottom (after the subtitle line)
-                // The prompt line starts after maxImageHeight + subtitleHeight
                 int promptY = maxImageHeight + subtitleHeight;
                 var promptSize = g.MeasureString(prompt, fontForPrompt);
                 var promptX = (totalWidth - (int)promptSize.Width) / 2;
-                if (promptX < 0) promptX = 0; // In case prompt is wider than totalWidth
                 g.DrawString(prompt, fontForPrompt, Brushes.Black, new PointF(promptX, promptY));
 
-                // Save the final image
-                // Determine output file name and path from settings if needed
-                var usePromptPrefix = prompt;
-                if (prompt.Length > 50)
+                // --- Simplified Filename Generation ---
+                var safePromptPrefix = TextUtils.CleanPrompt(prompt);
+                if (safePromptPrefix.Length > 50) // Ensure prefix isn't too long for filenames
                 {
-                    usePromptPrefix = prompt.Substring(0, 50);
+                    safePromptPrefix = safePromptPrefix.Substring(0, 50);
                 }
-                var ii = 1;
-                var outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"combined_image{usePromptPrefix}_{ii}.png");
+                // Remove invalid filename characters
+                safePromptPrefix = string.Join("_", safePromptPrefix.Split(Path.GetInvalidFileNameChars()));
 
-                while (System.IO.File.Exists(outputPath))
+                var baseFilename = $"combined_{safePromptPrefix}";
+                var outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"{baseFilename}.png");
+                var ii = 1;
+                // Ensure unique filename without overwriting
+                while (File.Exists(outputPath))
                 {
-                    //increment the filename
                     ii++;
-                    outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"combined_image{usePromptPrefix}_{ii}.png");
+                    outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"{baseFilename}_{ii}.png");
                 }
-                finalBmp.Save(outputPath, System.Drawing.Imaging.ImageFormat.Png);
+                // --- End Simplified Filename Generation ---
 
-                Console.WriteLine($"Combined image saved at: {outputPath}");
+                try
+                {
+                    // Saving itself is synchronous with System.Drawing
+                    finalBmp.Save(outputPath, System.Drawing.Imaging.ImageFormat.Png);
+                    Console.WriteLine($"Combined image saved at: {outputPath}");
+                }
+                catch (Exception ex)
+                {
+                    // Consider more specific logging or error handling
+                    Console.WriteLine($"Error saving combined image: {ex.Message}");
+                }
             }
 
-            // Dispose loaded images
-            foreach (var (img, engine) in loadedImages)
+            // Dispose loaded images passed into the method
+            foreach (var (success, image, imageGenerator) in createdImages)
             {
-                img.Dispose();
+                image?.Dispose(); // Add null check for safety
             }
 
-            fontForSubtitle.Dispose();
-            fontForPrompt.Dispose();
+            // Dispose fonts
+            fontForSubtitle?.Dispose(); // Add null check
+            fontForPrompt?.Dispose();   // Add null check
         }
     }
 }
diff --git a/MultiImageClient/Implementation/AbstractPromptGenerator.cs b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
index 58b31f2..c74b8c7 100644
--- a/MultiImageClient/Implementation/AbstractPromptGenerator.cs
+++ b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
@@ -12,7 +12,6 @@ namespace MultiImageClient
     public abstract class AbstractPromptGenerator
     {
         public abstract IEnumerable<PromptDetails> Prompts { get; }
-        public abstract Func<string, string> CleanPrompt { get; }
         public abstract int ImageCreationLimit { get; }
         /// how many times we send this prompt as of this level.
         public abstract int CopiesPer { get; }
@@ -31,10 +30,6 @@ public abstract class AbstractPromptGenerator
         public abstract string Name { get; }
 
         //defaults
-        public virtual bool UseClaude => true;
-        public virtual bool UseIdeogram => false;
-        public virtual bool UseBFL => true;
-        public virtual bool UseDalle3 => false;
         public virtual bool SaveRaw => true;
         public virtual bool SaveFullAnnotation => true;
         public virtual bool SaveFinalPrompt => true;
@@ -45,11 +40,8 @@ public abstract class AbstractPromptGenerator
         /// the version with just a simple below-image word/phrase set during prompt expansion
         /// </summary>
         public virtual bool SaveJustOverride => true;
-        public virtual bool TryBothBFLUpsamplingAndNot => false;
-
-        /// Whether or not claude rewriting succeeds, just toss in a raw direct version of whatever you have to the image generator anyway.
-        public virtual bool AlsoDoVersionSkippingClaude => false;
 
+        
         public Settings Settings { get; set; }
 
         public AbstractPromptGenerator(Settings settings)
@@ -72,7 +64,7 @@ public IEnumerable<PromptDetails> Run()
 
             foreach (var promptDetails in Prompts)
             {
-                var cleanPrompt = CleanPrompt(promptDetails.Prompt).Trim();
+                var cleanPrompt = TextUtils.CleanPrompt(promptDetails.Prompt).Trim();
                 if (string.IsNullOrWhiteSpace(cleanPrompt))
                 {
                     continue;
diff --git a/MultiImageClient/Implementation/TextUtils.cs b/MultiImageClient/Implementation/TextUtils.cs
index 5e08923..2649917 100644
--- a/MultiImageClient/Implementation/TextUtils.cs
+++ b/MultiImageClient/Implementation/TextUtils.cs
@@ -26,7 +26,15 @@ public static class TextUtils
         private static readonly Dictionary<string, int> _filenameCounts = new Dictionary<string, int>();
         private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
         private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
-        
+        public static List<string> bads = new List<string>() { "[", "]", "(", ")", "{", "}","\\","\"","\'", ":", };
+        public static string CleanPrompt(string prompt)
+        {
+            foreach (var bad in bads)
+            {
+                prompt = prompt.Replace(bad, "");
+            }
+            return prompt.Trim();
+        }
 
        
     }
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index a1ed826..5876f08 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -30,13 +30,27 @@ private static void InitializeServices(Settings settings, int concurrency)
             _ClaudeService = new ClaudeService(settings.AnthropicApiKey, concurrency);
         }
 
-        private static IWorkflow CreateWorkflow(GeneralActionType actionType, WorkflowContext context, AbstractPromptGenerator apg, Settings settings){
+        private static IWorkflow CreateWorkflow(GeneralActionType actionType, WorkflowContext context, AbstractPromptGenerator abstractPromptGenerator, Settings settings){
+            
+            var generators = new List<IImageGenerator>
+            {
+                new BFLGenerator(_BFLService),
+                new IdeogramGenerator(_IdeogramService),
+                new Dalle3Generator(_Dalle3Service),
+                new RecraftGenerator(_RecraftService),
+            };
             return actionType switch
             {
                 GeneralActionType.PromptToImageWithSteps =>
                     new PromptToImageWithStepsWorkflow(context, _BFLService, _IdeogramService, _Dalle3Service, _RecraftService, _ClaudeService),
                 GeneralActionType.SamePromptMultipleTargets =>
-                    new SamePromptMultipleTargetsWorkflow(context, _BFLService, _IdeogramService, _Dalle3Service, _RecraftService, _ClaudeService, apg, settings),
+                    new SamePromptMultipleTargetsWorkflow(context, generators, abstractPromptGenerator, settings),
+
+            //WorkflowContext workflowContext,
+            //List<IImageGenerator> generators,
+            //AbstractPromptGenerator abstractPromptGenerator,
+            //Settings settings)
+
                 GeneralActionType.ImageToTextToImageWithSteps => throw new NotImplementedException(),
                 _ => throw new NotImplementedException("Unknown workflow")
             };
@@ -46,16 +60,16 @@ static async Task Main(string[] args)
         {
             var settingsFilePath = "settings.json";
             var settings = Settings.LoadFromFile(settingsFilePath);
-            var concurrency = 6;
+            var concurrency = 12;
             
             InitializeServices(settings, concurrency);
 
             GeneralActionType gat = GeneralActionType.SamePromptMultipleTargets;
-            var apg = new LoadFromFile(settings, "");
+            var abstractPromptGenerator = new LoadFromFile(settings, "");
 
             var im = new ImageManager(settings);
             var workflowContext = new WorkflowContext(settings, new MultiClientRunStats(), im);
-            var workflow = CreateWorkflow(gat, workflowContext, apg, settings);
+            var workflow = CreateWorkflow(gat, workflowContext, abstractPromptGenerator, settings);
             await workflow.RunAsync();
         }
     }
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs
index ea2313d..4d68420 100644
--- a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs
+++ b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs
@@ -1,5 +1,8 @@
 using System;
 using System.Collections.Generic;
+using System.Drawing;
+using System.IO;
+using System.Linq;
 using System.Threading.Tasks;
 
 namespace MultiImageClient
@@ -7,63 +10,64 @@ namespace MultiImageClient
     public class SamePromptMultipleTargetsWorkflow : IWorkflow
     {
         private readonly WorkflowContext _workflowContext;
-        private readonly IdeogramService _IdeogramService;
-        private readonly BFLService _BFLService;
-        private readonly Dalle3Service _Dalle3Service;
-        private readonly RecraftService _RecraftService;
-        private readonly ClaudeService _ClaudeService;
-        private readonly AbstractPromptGenerator _AbstractPromptGenerator;
+        private readonly IEnumerable<IImageGenerator> _generators;
+        private readonly AbstractPromptGenerator _abstractPromptGenerator;
         private readonly Settings _settings;
 
-        public SamePromptMultipleTargetsWorkflow(WorkflowContext workflowContext,
-            BFLService bflService,
-            IdeogramService ideogramService,
-            Dalle3Service dalle3Service,
-            RecraftService recraftService,
-            ClaudeService claudeService,
-            AbstractPromptGenerator apg,
+        public SamePromptMultipleTargetsWorkflow(
+            WorkflowContext workflowContext,
+            IEnumerable<IImageGenerator> generators,
+            AbstractPromptGenerator abstractPromptGenerator,
             Settings settings)
         {
             _workflowContext = workflowContext;
-            _BFLService = bflService;
-            _IdeogramService = ideogramService;
-            _Dalle3Service = dalle3Service;
-            _RecraftService = recraftService;
-            _ClaudeService = claudeService;
-            _AbstractPromptGenerator = apg;
+            _generators = generators;
+            _abstractPromptGenerator = abstractPromptGenerator;
             _settings = settings;
         }
 
         public async Task RunAsync()
         {
-            var generators = new List<IImageGenerator>
+            foreach (var prompt in _abstractPromptGenerator.Run())
             {
-                new IdeogramGenerator(_IdeogramService),
-                new BFLGenerator(_BFLService),
-                new RecraftGenerator(_RecraftService)
-            };
+                // Process all generators asynchronously
+                var tasks = _generators.Select(generator=> ProcessGeneratorAsync(generator, prompt)).ToList();
+                (bool IsSuccess, Image Image, ImageGeneratorApiType ImageGenerator)[] results = await Task.WhenAll(tasks);
 
-            var multiResults = new MultiGeneratorResults();
-            foreach (var prompt in _AbstractPromptGenerator.Run())
-            {
+                var combiner = new ImageCombiner();
+                combiner.SaveMultipleImagesWithSubtitle(results, _settings, prompt.Prompt);
+            }
+        }
 
-                foreach (var generator in generators)
+        private async Task<(bool IsSuccess, Image Image, ImageGeneratorApiType ImageGenerator)> ProcessGeneratorAsync(
+            IImageGenerator generator,
+            PromptDetails prompt)
+        {
+            try
+            {
+                var result = await generator.ProcessPromptAsync(prompt, _workflowContext.Stats);
+                if (!result.IsSuccess || string.IsNullOrEmpty(result.Url))
                 {
-                    var theCopy = prompt.Clone();
-                    var res = await generator.ProcessPromptAsync(theCopy, _workflowContext.Stats);
-                    if (!res.IsSuccess)
-                    {
-                        Logger.Log(res.ToString());
-                        continue;
-                    }
-                    multiResults.results[generator.GetApiType] = res;
+                    Logger.Log($"Failed to process prompt for {generator.GetApiType}: {result.ErrorMessage}");
+                    return (false, null, generator.GetApiType);
+                }
 
-                    // Always handle image saving, caching, etc:
-                    await _workflowContext.ImageManager.ProcessAndSaveAsync(res, _AbstractPromptGenerator, _workflowContext.Stats);
+                var imageBytes = await ImageSaving.DownloadImageAsync(result);
+                if (imageBytes.Length == 0)
+                {
+                    Logger.Log($"Failed to download image for {generator.GetApiType}");
+                    return (false, null, generator.GetApiType);
                 }
 
-                var ic = new ImageCombiner();
-                ic.SaveMultipleImagesWithSubtitle(multiResults.results, _settings, prompt.Prompt);
+                using var ms = new MemoryStream(imageBytes);
+                var image = Image.FromStream(ms);
+
+                return (true, image, generator.GetApiType);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Error processing generator {generator.GetApiType}: {ex.Message}");
+                return (false, null, generator.GetApiType);
             }
         }
     }
diff --git a/MultiImageClient/imageGenerators/RecraftGenerator.cs b/MultiImageClient/imageGenerators/RecraftGenerator.cs
index b67d6ea..1cf7eed 100644
--- a/MultiImageClient/imageGenerators/RecraftGenerator.cs
+++ b/MultiImageClient/imageGenerators/RecraftGenerator.cs
@@ -70,7 +70,7 @@ public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails p
                 pd.RecraftDetails = GetDefaultRecraftDetails();
             }
             
-            Logger.Log($"\tSubmitting to Recraft with style {pd.RecraftDetails.GetFullStyleName()}");
+            Logger.Log($"Submitting to Recraft with style {pd.RecraftDetails.GetFullStyleName()}");
             var res = await _svc.ProcessPromptAsync(pd, stats);
             return res;
         }
diff --git a/MultiImageClient/promptGenerators/DeckOfCards.cs b/MultiImageClient/promptGenerators/DeckOfCards.cs
index 2b01143..1c9829d 100644
--- a/MultiImageClient/promptGenerators/DeckOfCards.cs
+++ b/MultiImageClient/promptGenerators/DeckOfCards.cs
@@ -18,7 +18,6 @@ public DeckOfCards(Settings settings) : base(settings)
         public override int CopiesPer => 1;
         public override bool RandomizeOrder => false;
         public override string Suffix => " Describe the design of this new card in detail, using about 120 words. Output a description of such a card, as prose, without newlines. Playing cards always have a white background. The number and type of card must appear in the corner, and they should use the color theme.";
-        public override Func<string, string> CleanPrompt => (arg) => arg;
 
         private IEnumerable<PromptDetails> GetPrompts()
         {
diff --git a/MultiImageClient/promptGenerators/EmotionFaces.cs b/MultiImageClient/promptGenerators/EmotionFaces.cs
index 9e2cc8d..c34d604 100644
--- a/MultiImageClient/promptGenerators/EmotionFaces.cs
+++ b/MultiImageClient/promptGenerators/EmotionFaces.cs
@@ -20,7 +20,7 @@ public EmotionFaces(Settings settings) : base(settings)
         public override bool RandomizeOrder => false;
         public override int FullyResolvedCopiesPer => 2;
         public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg;
+        
 
         private IEnumerable<PromptDetails> GetPrompts()
         {
diff --git a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
index aba3453..1a560b6 100644
--- a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
@@ -37,13 +37,9 @@ public LoadDoubleFromFile(Settings settings, string path, bool includePublic, bo
         public override string Prefix => "";
         public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
-        public override bool UseIdeogram => false;
-        public override bool AlsoDoVersionSkippingClaude => false;
         public override bool SaveFinalPrompt => true;
         public override bool SaveInitialIdea => true;
         public override bool SaveFullAnnotation => true;
-        public override bool TryBothBFLUpsamplingAndNot => true;
 
         private IEnumerable<PromptDetails> GetPrompts()
         {
diff --git a/MultiImageClient/promptGenerators/LoadFromFile.cs b/MultiImageClient/promptGenerators/LoadFromFile.cs
index f1a8934..8c418e5 100644
--- a/MultiImageClient/promptGenerators/LoadFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadFromFile.cs
@@ -25,21 +25,17 @@ public LoadFromFile(Settings settings, string path) : base(settings)
 
         public override string Name => nameof(LoadFromFile);
 
-        public override int ImageCreationLimit => 40;
+        public override int ImageCreationLimit => 400;
         public override int CopiesPer => 2;
         public override int FullyResolvedCopiesPer => 2;
         public override bool RandomizeOrder => true;
         public override string Prefix => "";
         public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
-        public override bool UseIdeogram => false;
-        public override bool AlsoDoVersionSkippingClaude => false;
         public override bool SaveFinalPrompt => true;
         public override bool SaveInitialIdea => true;
         public override bool SaveFullAnnotation => true;
-        public override bool TryBothBFLUpsamplingAndNot => true;
-
+        
         private IEnumerable<PromptDetails> GetPrompts()
         {
             var sourceFPs = new List<string>() {
@@ -68,6 +64,15 @@ private IEnumerable<PromptDetails> GetPrompts()
                     {
                         continue;
                     }
+                    var good = false;
+                    if (usePrompt.ToLower().Contains("japan") || usePrompt.ToLower().Contains("girl")|| usePrompt.ToLower().Contains("woman") || usePrompt.ToLower().Contains("high school") || usePrompt.ToLower().Contains("chinese") || usePrompt.ToLower().Contains("x"))
+                    {
+                        good = true;
+                    }
+                    if (!good)
+                    {
+                        continue;
+                    }
                     allPromptsRaw.Add(usePrompt);
                 }
             }
diff --git a/MultiImageClient/promptGenerators/RecraftAllsStyles.cs b/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
index f842353..860cc2c 100644
--- a/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
+++ b/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
@@ -44,10 +44,6 @@ public RecraftAllsStyles(Settings settings) : base(settings)
         public override string Prefix => "";
         public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
-        public override bool AlsoDoVersionSkippingClaude => true;
-        public override bool UseIdeogram => false;
-        public override bool UseClaude => false;
         public override bool SaveFullAnnotation => true;
         public override bool SaveInitialIdea => false;
         public override bool SaveFinalPrompt => false;
diff --git a/MultiImageClient/promptGenerators/ScenesFromStory.cs b/MultiImageClient/promptGenerators/ScenesFromStory.cs
index cc6029d..994c52e 100644
--- a/MultiImageClient/promptGenerators/ScenesFromStory.cs
+++ b/MultiImageClient/promptGenerators/ScenesFromStory.cs
@@ -20,7 +20,7 @@ public ScenesFromStory(Settings settings) : base(settings)
         public override bool RandomizeOrder => true;
         public override int FullyResolvedCopiesPer => 1;
         public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg;
+        
 
         private IEnumerable<PromptDetails> GetPrompts()
         {
diff --git a/MultiImageClient/promptGenerators/SinglePromptGenerator.cs b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
index 0ac450b..bd47a98 100644
--- a/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
+++ b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
@@ -31,13 +31,9 @@ public SinglePromptGenerator(IList<string> prompts, int copiesPer, int fullyReso
         public override string Prefix => "";
         public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
-        public override bool UseIdeogram => false;
-        public override bool AlsoDoVersionSkippingClaude => false;
         public override bool SaveFinalPrompt => true;
         public override bool SaveInitialIdea => true;
         public override bool SaveFullAnnotation => true;
-        public override bool TryBothBFLUpsamplingAndNot => true;
         public override IEnumerable<PromptDetails> Prompts
         {
             get
diff --git a/MultiImageClient/promptGenerators/StillLife.cs b/MultiImageClient/promptGenerators/StillLife.cs
index 1b4bead..349879e 100644
--- a/MultiImageClient/promptGenerators/StillLife.cs
+++ b/MultiImageClient/promptGenerators/StillLife.cs
@@ -20,7 +20,7 @@ public StillLife(Settings settings) : base(settings)
         public override bool RandomizeOrder => true;
         public override int FullyResolvedCopiesPer => 1;
         public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg;
+        
 
         private IEnumerable<PromptDetails> GetPrompts()
         {
diff --git a/MultiImageClient/promptGenerators/TPSigns.cs b/MultiImageClient/promptGenerators/TPSigns.cs
index b631b96..853b4e8 100644
--- a/MultiImageClient/promptGenerators/TPSigns.cs
+++ b/MultiImageClient/promptGenerators/TPSigns.cs
@@ -20,7 +20,7 @@ public TPSigns(Settings settings) : base(settings)
         public override bool RandomizeOrder => true;
         public override int FullyResolvedCopiesPer => 1;
         public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg;
+        
 
         private IEnumerable<PromptDetails> GetPrompts()
         {
diff --git a/MultiImageClient/promptGenerators/WriteHere.cs b/MultiImageClient/promptGenerators/WriteHere.cs
index 73aa14f..42fa362 100644
--- a/MultiImageClient/promptGenerators/WriteHere.cs
+++ b/MultiImageClient/promptGenerators/WriteHere.cs
@@ -44,10 +44,6 @@ public WriteHere(Settings settings) : base(settings)
         public override string Prefix => "";
         public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Suffix => "";
-        public override Func<string, string> CleanPrompt => (arg) => arg.Trim().Trim();
-        public override bool AlsoDoVersionSkippingClaude => true;
-        public override bool UseIdeogram => false;
-        public override bool UseClaude => true;
 
         private IEnumerable<PromptDetails> GetPrompts()
         {
diff --git a/Temp.txt b/Temp.txt
new file mode 100644
index 0000000..5f28270
--- /dev/null
+++ b/Temp.txt
@@ -0,0 +1 @@
+
\ No newline at end of file

From 9c5927c36fb1f50d187ceaaebcab65254ac32a9a Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 14 Sep 2025 18:36:28 -0700
Subject: [PATCH 11/78] GPTOne plus interactive mode plus tons of other stuff.
 gotta redo the jobspec format, this is nuts.

---
 BFLApi/{BFLDetails.cs => BFL11Details.cs}     | 148 +++++-----
 BFLApi/BFL11UltraDetails.cs                   |  72 +++++
 BFLApi/BFLAPIClient.csproj                    |   3 +
 BFLApi/BFLClient.cs                           |  19 ++
 BFLApi/FluxPro11Request.cs                    |   3 +
 BFLApi/FluxPro11UltraRequest.cs               |  33 +++
 IdeogramAPI/IdeogramAPIClient.csproj          |   7 +
 .../ImageGenerationClasses.csproj             |   3 +
 ImageGenerationClasses/Logger.cs              |   2 -
 .../Enums/GeneratorApiTypeExtensions.cs       |   4 +-
 .../Enums/ImageGeneratorApiType.cs            |   4 +-
 MultiImageClient/ImageCombiner.cs             | 269 +++++++++---------
 MultiImageClient/ImageManager.cs              |  38 ++-
 .../Implementation/AbstractPromptGenerator.cs |  25 +-
 .../Implementation/FileNameGenerator.cs       |  60 ++--
 .../Implementation/ImageSaving.cs             | 122 +++++---
 .../Implementation/MultiClientRunStats.cs     |  12 +-
 .../Implementation/PromptDetails.cs           |  34 ++-
 .../Implementation/TaskProcessResult.cs       |  13 +-
 .../Implementation/TextFormatting.cs          |  96 +++++--
 MultiImageClient/Implementation/TextUtils.cs  |   5 +-
 MultiImageClient/MultiImageClient.csproj      |   6 +-
 MultiImageClient/Program.cs                   |  22 +-
 .../PromptToImageWithStepsWorkflow.cs         |  98 +++++++
 .../PromptToImageWithStepsWorkflow.cs.cs      |  80 ------
 .../SamePromptMultipleTargetsWorkflow.cs      |  49 ++++
 .../SamePromptMultipleTargetsWorkflow.cs.cs   |  74 -----
 MultiImageClient/Services/BFLService.cs       |  78 +++--
 .../Services/GptImageOneService.cs            | 126 ++++++++
 MultiImageClient/Services/RecraftService.cs   |   2 +-
 .../imageGenerators/AbstractImageGenerator.cs |   5 +-
 .../imageGenerators/BFLGenerator.cs           |  38 ++-
 .../imageGenerators/Dalle3Generator.cs        |   4 +-
 .../imageGenerators/GptImageOneDetails.cs     |  31 ++
 .../imageGenerators/GptImageOneDetails1.cs    |   4 +
 .../imageGenerators/GptImageOneGenerator.cs   |  27 ++
 .../imageGenerators/IdeogramGenerator.cs      |   4 +-
 .../imageGenerators/RecraftGenerator.cs       |  26 +-
 .../promptGenerators/EmotionFaces.cs          |   2 +-
 .../promptGenerators/LoadDoubleFromFile.cs    |   6 +-
 .../promptGenerators/LoadFromFile.cs          |  36 +--
 .../promptGenerators/SinglePromptGenerator.cs |   3 +-
 RecraftAPI/Program.cs                         |   5 +-
 RecraftAPI/RecraftAPIClient.csproj            |   3 +
 RecraftAPI/RecraftClient.cs                   |   2 +
 output.png                                    | Bin 0 -> 2458696 bytes
 output2.png                                   | Bin 0 -> 1826445 bytes
 save_b64.py                                   |  12 +
 48 files changed, 1143 insertions(+), 572 deletions(-)
 rename BFLApi/{BFLDetails.cs => BFL11Details.cs} (87%)
 create mode 100644 BFLApi/BFL11UltraDetails.cs
 create mode 100644 BFLApi/FluxPro11UltraRequest.cs
 create mode 100644 MultiImageClient/PromptToImageWithStepsWorkflow.cs
 delete mode 100644 MultiImageClient/PromptToImageWithStepsWorkflow.cs.cs
 create mode 100644 MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
 delete mode 100644 MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs
 create mode 100644 MultiImageClient/Services/GptImageOneService.cs
 create mode 100644 MultiImageClient/imageGenerators/GptImageOneDetails.cs
 create mode 100644 MultiImageClient/imageGenerators/GptImageOneDetails1.cs
 create mode 100644 MultiImageClient/imageGenerators/GptImageOneGenerator.cs
 create mode 100644 output.png
 create mode 100644 output2.png
 create mode 100644 save_b64.py

diff --git a/BFLApi/BFLDetails.cs b/BFLApi/BFL11Details.cs
similarity index 87%
rename from BFLApi/BFLDetails.cs
rename to BFLApi/BFL11Details.cs
index cc78d56..c14d2a1 100644
--- a/BFLApi/BFLDetails.cs
+++ b/BFLApi/BFL11Details.cs
@@ -1,74 +1,74 @@
-using MultiImageClient;
-
-namespace IdeogramAPIClient
-{
-    public class BFLDetails : IDetails
-    {
-        private int _width = 1024;
-        private int _height = 1024;
-
-        public int Width
-        {
-            get => _width;
-            set
-            {
-                SetWidth(value);
-            }
-        }
-
-        public int Height
-        {
-            get => _height;
-            set
-            {
-                SetHeight(value);
-            } 
-        }
-
-        public bool PromptUpsampling { get; set; } = false;
-        public int SafetyTolerance { get; set; } = 6;
-        public int? Seed { get; set; }
-
-        public BFLDetails() { }
-
-        public BFLDetails(BFLDetails other)
-        {
-            SetWidth(other.Width);
-            SetHeight(other.Height);
-            PromptUpsampling = other.PromptUpsampling;
-            SafetyTolerance = other.SafetyTolerance;
-            Seed = other.Seed;
-        }
-
-        private void SetWidth(int value)
-        {
-            if (value % 32 != 0)
-            {
-                throw new System.ArgumentException("Image width must be a multiple of 32");
-            }
-            if (value > 1440)
-            {
-                throw new System.ArgumentException("Image width must be less than or equal to 1440");
-            }
-            _width = value;
-        }
-
-        private void SetHeight(int value)
-        {
-            if (value % 32 != 0)
-            {
-                throw new System.ArgumentException("Image height must be a multiple of 32");
-            }
-            if (value > 1440)
-            {
-                throw new System.ArgumentException("Image height must be less than or equal to 1440");
-            }
-            _height = value;
-        }
-
-        public string GetDescription()
-        {
-            return $"{Width}x{Height}, {Seed}";
-        }
-    }
-}
+using MultiImageClient;
+
+namespace IdeogramAPIClient
+{
+    public class BFL11Details : IDetails
+    {
+        private int _width = 1024;
+        private int _height = 1024;
+
+        public int Width
+        {
+            get => _width;
+            set
+            {
+                SetWidth(value);
+            }
+        }
+
+        public int Height
+        {
+            get => _height;
+            set
+            {
+                SetHeight(value);
+            } 
+        }
+
+        public bool PromptUpsampling { get; set; } = true;
+        public int SafetyTolerance { get; set; } = 6;
+        public int? Seed { get; set; }
+
+        public BFL11Details() { }
+
+        public BFL11Details(BFL11Details other)
+        {
+            SetWidth(other.Width);
+            SetHeight(other.Height);
+            PromptUpsampling = other.PromptUpsampling;
+            SafetyTolerance = other.SafetyTolerance;
+            Seed = other.Seed;
+        }
+
+        private void SetWidth(int value)
+        {
+            if (value % 32 != 0)
+            {
+                throw new System.ArgumentException("Image width must be a multiple of 32");
+            }
+            if (value > 1440)
+            {
+                throw new System.ArgumentException("Image width must be less than or equal to 1440");
+            }
+            _width = value;
+        }
+
+        private void SetHeight(int value)
+        {
+            if (value % 32 != 0)
+            {
+                throw new System.ArgumentException("Image height must be a multiple of 32");
+            }
+            if (value > 1440)
+            {
+                throw new System.ArgumentException("Image height must be less than or equal to 1440");
+            }
+            _height = value;
+        }
+
+        public string GetDescription()
+        {
+            return $"{Width}x{Height}, {Seed}";
+        }
+    }
+}
diff --git a/BFLApi/BFL11UltraDetails.cs b/BFLApi/BFL11UltraDetails.cs
new file mode 100644
index 0000000..3478b82
--- /dev/null
+++ b/BFLApi/BFL11UltraDetails.cs
@@ -0,0 +1,72 @@
+using MultiImageClient;
+
+namespace IdeogramAPIClient
+{
+    public class BFL11UltraDetails : IDetails
+    {
+        //private int _width = 1024;
+        //private int _height = 1024;
+        private string _aspectRatio = "1:1";
+        
+        public string AspectRatio
+        {
+            get => _aspectRatio;
+            set
+            {
+                SetAspectRatio(value);
+            }
+        }
+
+        public bool PromptUpsampling { get; set; } = true;
+        public int SafetyTolerance { get; set; } = 6;
+        public int? Seed { get; set; }
+
+        public BFL11UltraDetails() { }
+
+        public BFL11UltraDetails(BFL11UltraDetails other)
+        {
+            //SetWidth(other.Width);
+            //SetHeight(other.Height);
+            PromptUpsampling = other.PromptUpsampling;
+            SafetyTolerance = other.SafetyTolerance;
+            Seed = other.Seed;
+        }
+
+        //private void SetWidth(int value)
+        //{
+        //    if (value % 32 != 0)
+        //    {
+        //        throw new System.ArgumentException("Image width must be a multiple of 32");
+        //    }
+        //    if (value > 3900)
+        //    {
+        //        throw new System.ArgumentException("Image width must be less than or equal to 3900");
+        //    }
+        //    _width = value;
+        //}
+
+        //private void SetHeight(int value)
+        //{
+        //    if (value % 32 != 0)
+        //    {
+        //        throw new System.ArgumentException("Image height must be a multiple of 32");
+        //    }
+        //    if (value > 3900)
+        //    {
+        //        throw new System.ArgumentException("Image height must be less than or equal to 3900");
+        //    }
+        //    _height = value;
+        //}
+
+        private void SetAspectRatio(string aspectRatio)
+        {
+
+            _aspectRatio = aspectRatio;
+        }
+
+        public string GetDescription()
+        {
+            return $"{_aspectRatio}";
+        }
+    }
+}
diff --git a/BFLApi/BFLAPIClient.csproj b/BFLApi/BFLAPIClient.csproj
index c6a68e7..9064ebf 100644
--- a/BFLApi/BFLAPIClient.csproj
+++ b/BFLApi/BFLAPIClient.csproj
@@ -18,7 +18,10 @@
   <ItemGroup>
     <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
     <PackageReference Include="CommandLineParser" Version="2.9.1" />
+    <PackageReference Include="Magick.NET.Core" Version="14.8.2" />
     <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
+    <PackageReference Include="OpenAI" Version="2.1.0" />
+    <PackageReference Include="SixLabors.ImageSharp" Version="3.1.11" />
     <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
   </ItemGroup>
 
diff --git a/BFLApi/BFLClient.cs b/BFLApi/BFLClient.cs
index 6ad3733..bb3f592 100644
--- a/BFLApi/BFLClient.cs
+++ b/BFLApi/BFLClient.cs
@@ -78,6 +78,11 @@ public Task<GenerationResponse> GenerateFluxPro11Async(FluxPro11Request request)
             return GenerateAndWaitForResultAsync("flux-pro-1.1", request);
         }
 
+        public Task<GenerationResponse> GenerateFluxPro11UltraAsync(FluxPro11UltraRequest request)
+        {
+            return GenerateAndWaitForResultAsync("flux-pro-1.1-ultra", request);
+        }
+
         public Task<GenerationResponse> GenerateFluxProAsync(FluxProRequest request)
         {
             return GenerateAndWaitForResultAsync("flux-pro", request);
@@ -114,6 +119,20 @@ private static async Task RunAsync(CommandLineOptions opts)
                     };
                     response = await client.GenerateFluxPro11Async(request11);
                     break;
+                case "flux-pro-1.1-Ultra":
+                    var request11Ultra = new FluxPro11UltraRequest
+                    {
+                        Prompt = opts.Prompt,
+                        AspectRatio = "16:9",
+                        Width = opts.Width,
+                        Height = opts.Height,
+                        PromptUpsampling = opts.PromptUpsampling,
+                        SafetyTolerance = opts.SafetyTolerance,
+                        Seed = opts.Seed
+                    };
+                    // Note: There's no separate endpoint for Ultra; it's determined by account settings.
+                    response = await client.GenerateFluxPro11UltraAsync(request11Ultra);
+                    break;
                 case "flux-pro":
                     var requestPro = new FluxProRequest
                     {
diff --git a/BFLApi/FluxPro11Request.cs b/BFLApi/FluxPro11Request.cs
index 1f6317d..a5697cb 100644
--- a/BFLApi/FluxPro11Request.cs
+++ b/BFLApi/FluxPro11Request.cs
@@ -21,6 +21,9 @@ public class FluxPro11Request
         [JsonProperty("safety_tolerance")]
         public int SafetyTolerance { get; set; }
 
+        [JsonProperty("output_format")]
+        public string OutputFormat { get; set; } = "png";
+
         [JsonProperty("seed")]
         public int? Seed { get; set; }
     }
diff --git a/BFLApi/FluxPro11UltraRequest.cs b/BFLApi/FluxPro11UltraRequest.cs
new file mode 100644
index 0000000..8a646a4
--- /dev/null
+++ b/BFLApi/FluxPro11UltraRequest.cs
@@ -0,0 +1,33 @@
+using Newtonsoft.Json;
+
+using System.Text.Json;
+
+namespace BFLAPIClient
+{
+    public class FluxPro11UltraRequest
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; }
+
+        [JsonProperty("aspect_ratio")]
+        public string AspectRatio { get; set; }
+        
+        [JsonProperty("width")]
+        public int Width { get; set; }
+
+        [JsonProperty("height")]
+        public int Height { get; set; }
+
+        [JsonProperty("prompt_upsampling")]
+        public bool PromptUpsampling { get; set; }
+
+        [JsonProperty("safety_tolerance")]
+        public int SafetyTolerance { get; set; } = 6;
+
+        [JsonProperty("output_format")]
+        public string OutputFormat { get; set; } = "png";
+
+        [JsonProperty("seed")]
+        public int? Seed { get; set; }
+    }
+}
diff --git a/IdeogramAPI/IdeogramAPIClient.csproj b/IdeogramAPI/IdeogramAPIClient.csproj
index a7386de..ab1c922 100644
--- a/IdeogramAPI/IdeogramAPIClient.csproj
+++ b/IdeogramAPI/IdeogramAPIClient.csproj
@@ -7,9 +7,16 @@
     <Nullable>enable</Nullable>
   </PropertyGroup>
 
+  <ItemGroup>
+    <None Remove="ideogram.log" />
+  </ItemGroup>
+
   <ItemGroup>
     <PackageReference Include="CommandLineParser" Version="2.9.1" />
+    <PackageReference Include="Magick.NET.Core" Version="14.8.2" />
     <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
+    <PackageReference Include="OpenAI" Version="2.1.0" />
+    <PackageReference Include="SixLabors.ImageSharp" Version="3.1.11" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/ImageGenerationClasses/ImageGenerationClasses.csproj b/ImageGenerationClasses/ImageGenerationClasses.csproj
index b87fb54..92d1d77 100644
--- a/ImageGenerationClasses/ImageGenerationClasses.csproj
+++ b/ImageGenerationClasses/ImageGenerationClasses.csproj
@@ -10,7 +10,10 @@
 
   <ItemGroup>
     <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
+    <PackageReference Include="Magick.NET.Core" Version="14.8.2" />
     <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
+    <PackageReference Include="OpenAI" Version="2.1.0" />
+    <PackageReference Include="SixLabors.ImageSharp" Version="3.1.11" />
     <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
   </ItemGroup>
 
diff --git a/ImageGenerationClasses/Logger.cs b/ImageGenerationClasses/Logger.cs
index ad6efb7..b1a1a1c 100644
--- a/ImageGenerationClasses/Logger.cs
+++ b/ImageGenerationClasses/Logger.cs
@@ -9,11 +9,9 @@ namespace MultiImageClient
 {
     public static class Logger
     {
-
         private static string _logFilePath = "log.txt";
         private static StreamWriter _logWriter = new StreamWriter(_logFilePath, true);
 
- 
         public static void Log(string message)
         {
             Console.WriteLine(message);
diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index 06a5429..61875f0 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -13,9 +13,11 @@ public static string GetFileExtension(this ImageGeneratorApiType generator)
             return generator switch
             {
                 ImageGeneratorApiType.Ideogram => ".png",
-                ImageGeneratorApiType.BFL => ".jpg",
+                ImageGeneratorApiType.BFLv11 => ".png",
+                ImageGeneratorApiType.BFLv11Ultra => ".png",
                 ImageGeneratorApiType.Dalle3 => ".png",
                 ImageGeneratorApiType.Recraft => ".png", //actually, I should use the value read from head since it sometimes shows up as .svg.
+                ImageGeneratorApiType.GptImage1 => ".png",
                 _ => throw new ArgumentException("Unknown image generator type while picking file extension:", nameof(generator))
             };
         }
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 4917f98..2686355 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -7,7 +7,9 @@ public enum ImageGeneratorApiType
         Midjourney = 1,
         Dalle3 = 2,
         Ideogram = 3,
-        BFL = 4,
+        BFLv11 = 4,
         Recraft = 5,
+        GptImage1 = 6,
+        BFLv11Ultra = 7,
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/ImageCombiner.cs b/MultiImageClient/ImageCombiner.cs
index d1029f9..adb410d 100644
--- a/MultiImageClient/ImageCombiner.cs
+++ b/MultiImageClient/ImageCombiner.cs
@@ -16,141 +16,138 @@ internal class ImageCombiner
         /// when combining images generated by multiple sources, if one fails, use this as the placeholder image width.
         private static int failWidth = 300;
         
-        internal void SaveMultipleImagesWithSubtitle(
-            (bool IsSuccess, Image Image, ImageGeneratorApiType ImageGenerator)[] createdImages,
-            Settings settings,
-            string prompt)
-        {
-            var fontForSubtitle = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
-            var fontForPrompt = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
-
-            int totalWidth = 0;
-            var totalLoaded = createdImages.Where(el => el.IsSuccess == true).Count();
-            int maxImageHeight = 500;
-            if (totalLoaded > 0) {
-                maxImageHeight = createdImages.Where(el => el.IsSuccess == true).Max(el => el.Image.Height);
-            }
-            foreach (var (success, image, imageGenerator) in createdImages)
-            {
-                if (success)
-                {
-                    totalWidth += image.Width;
-                }
-                else
-                {
-                    //we should just put a blank box here with text on the bottom describing the error or whatever.
-                    totalWidth += failWidth;
-                }                    
-            }
-
-            // Measure text height
-            int subtitleHeight = 0;
-            int promptHeight = 0;
-
-            using (var measureBmp = new Bitmap(1, 1))
-            using (var g = Graphics.FromImage(measureBmp))
-            {
-                g.TextRenderingHint = TextRenderingHint.AntiAliasGridFit;
-
-                foreach (var (success, image, imageGenerator) in createdImages)
-                {
-                    var size = g.MeasureString(imageGenerator.ToString(), fontForSubtitle);
-                    subtitleHeight = Math.Max(subtitleHeight, (int)Math.Ceiling(size.Height));
-                }
-
-                var promptSize = g.MeasureString(prompt, fontForPrompt);
-                promptHeight = (int)Math.Ceiling(promptSize.Height);
-            }
-
-            int totalHeight = maxImageHeight + subtitleHeight + promptHeight;
-
-            // Create the output bitmap
-            using (var finalBmp = new Bitmap(totalWidth, totalHeight))
-            using (var g = Graphics.FromImage(finalBmp))
-            {
-                g.Clear(Color.White);
-                g.TextRenderingHint = TextRenderingHint.AntiAliasGridFit;
-
-                int currentX = 0;
-                foreach (var (success, image, imageGenerator) in createdImages)
-                {
-                    var successText = "";
-                    var engineName = imageGenerator.ToString();
-                    var usingWidth = image?.Width ?? failWidth;
-
-                    if (success)
-                    {
-                        successText = $"ok {engineName}";
-                        g.DrawImage(image, currentX, 0, image.Width, image.Height);
-
-                    }
-                    else
-                    {
-                        successText = $"fail {engineName}";
-                    }
-                    var engineNameSize = g.MeasureString(successText, fontForSubtitle);
-                    var engineTextX = currentX + (usingWidth - (int)engineNameSize.Width) / 2;
-                    var engineTextY = maxImageHeight;
-
-                    g.DrawString(successText, fontForSubtitle, Brushes.Black, new PointF(engineTextX, engineTextY));
-
-                    if (success)
-                    {
-                        currentX += image.Width;
-                    }
-                    else
-                    {
-                        currentX += failWidth;
-                    }
-                }
-
-                int promptY = maxImageHeight + subtitleHeight;
-                var promptSize = g.MeasureString(prompt, fontForPrompt);
-                var promptX = (totalWidth - (int)promptSize.Width) / 2;
-                g.DrawString(prompt, fontForPrompt, Brushes.Black, new PointF(promptX, promptY));
-
-                // --- Simplified Filename Generation ---
-                var safePromptPrefix = TextUtils.CleanPrompt(prompt);
-                if (safePromptPrefix.Length > 50) // Ensure prefix isn't too long for filenames
-                {
-                    safePromptPrefix = safePromptPrefix.Substring(0, 50);
-                }
-                // Remove invalid filename characters
-                safePromptPrefix = string.Join("_", safePromptPrefix.Split(Path.GetInvalidFileNameChars()));
-
-                var baseFilename = $"combined_{safePromptPrefix}";
-                var outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"{baseFilename}.png");
-                var ii = 1;
-                // Ensure unique filename without overwriting
-                while (File.Exists(outputPath))
-                {
-                    ii++;
-                    outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"{baseFilename}_{ii}.png");
-                }
-                // --- End Simplified Filename Generation ---
-
-                try
-                {
-                    // Saving itself is synchronous with System.Drawing
-                    finalBmp.Save(outputPath, System.Drawing.Imaging.ImageFormat.Png);
-                    Console.WriteLine($"Combined image saved at: {outputPath}");
-                }
-                catch (Exception ex)
-                {
-                    // Consider more specific logging or error handling
-                    Console.WriteLine($"Error saving combined image: {ex.Message}");
-                }
-            }
-
-            // Dispose loaded images passed into the method
-            foreach (var (success, image, imageGenerator) in createdImages)
-            {
-                image?.Dispose(); // Add null check for safety
-            }
-
-            // Dispose fonts
-            fontForSubtitle?.Dispose(); // Add null check
-            fontForPrompt?.Dispose();   // Add null check
-        }
+        //internal void SaveMultipleImagesWithSubtitle(IEnumerable<Task> createdImages, Settings settings, string prompt)
+        //{
+        //    var fontForSubtitle = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
+        //    var fontForPrompt = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
+
+        //    int totalWidth = 0;
+        //    var totalLoaded = createdImages.Where(el => el.IsCompleted == true && el.).Count();
+        //    int maxImageHeight = 500;
+        //    if (totalLoaded > 0) {
+        //        maxImageHeight = createdImages.Where(el => el.IsSuccess == true).Max(el => el.Image.Height);
+        //    }
+        //    foreach (var (success, image, imageGenerator) in createdImages)
+        //    {
+        //        if (success)
+        //        {
+        //            totalWidth += image.Width;
+        //        }
+        //        else
+        //        {
+        //            //we should just put a blank box here with text on the bottom describing the error or whatever.
+        //            totalWidth += failWidth;
+        //        }                    
+        //    }
+
+        //    // Measure text height
+        //    int subtitleHeight = 0;
+        //    int promptHeight = 0;
+
+        //    using (var measureBmp = new Bitmap(1, 1))
+        //    using (var g = Graphics.FromImage(measureBmp))
+        //    {
+        //        g.TextRenderingHint = TextRenderingHint.AntiAliasGridFit;
+
+        //        foreach (var (success, image, imageGenerator) in createdImages)
+        //        {
+        //            var size = g.MeasureString(imageGenerator.ToString(), fontForSubtitle);
+        //            subtitleHeight = Math.Max(subtitleHeight, (int)Math.Ceiling(size.Height));
+        //        }
+
+        //        var promptSize = g.MeasureString(prompt, fontForPrompt);
+        //        promptHeight = (int)Math.Ceiling(promptSize.Height);
+        //    }
+
+        //    int totalHeight = maxImageHeight + subtitleHeight + promptHeight;
+
+        //    // Create the output bitmap
+        //    using (var finalBmp = new Bitmap(totalWidth, totalHeight))
+        //    using (var g = Graphics.FromImage(finalBmp))
+        //    {
+        //        g.Clear(Color.White);
+        //        g.TextRenderingHint = TextRenderingHint.AntiAliasGridFit;
+
+        //        int currentX = 0;
+        //        foreach (var (success, image, imageGenerator) in createdImages)
+        //        {
+        //            var successText = "";
+        //            var engineName = imageGenerator.ToString();
+        //            var usingWidth = image?.Width ?? failWidth;
+
+        //            if (success)
+        //            {
+        //                successText = $"ok {engineName}";
+        //                g.DrawImage(image, currentX, 0, image.Width, image.Height);
+
+        //            }
+        //            else
+        //            {
+        //                successText = $"fail {engineName}";
+        //            }
+        //            var engineNameSize = g.MeasureString(successText, fontForSubtitle);
+        //            var engineTextX = currentX + (usingWidth - (int)engineNameSize.Width) / 2;
+        //            var engineTextY = maxImageHeight;
+
+        //            g.DrawString(successText, fontForSubtitle, Brushes.Black, new PointF(engineTextX, engineTextY));
+
+        //            if (success)
+        //            {
+        //                currentX += image.Width;
+        //            }
+        //            else
+        //            {
+        //                currentX += failWidth;
+        //            }
+        //        }
+
+        //        int promptY = maxImageHeight + subtitleHeight;
+        //        var promptSize = g.MeasureString(prompt, fontForPrompt);
+        //        var promptX = (totalWidth - (int)promptSize.Width) / 2;
+        //        g.DrawString(prompt, fontForPrompt, Brushes.Black, new PointF(promptX, promptY));
+
+        //        // --- Simplified Filename Generation ---
+        //        var safePromptPrefix = TextUtils.CleanPrompt(prompt);
+        //        if (safePromptPrefix.Length > 50) // Ensure prefix isn't too long for filenames
+        //        {
+        //            safePromptPrefix = safePromptPrefix.Substring(0, 50);
+        //        }
+        //        // Remove invalid filename characters
+        //        safePromptPrefix = string.Join("_", safePromptPrefix.Split(Path.GetInvalidFileNameChars()));
+
+        //        var baseFilename = $"combined_{safePromptPrefix}";
+        //        var outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"{baseFilename}.png");
+        //        var ii = 1;
+        //        // Ensure unique filename without overwriting
+        //        while (File.Exists(outputPath))
+        //        {
+        //            ii++;
+        //            outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"{baseFilename}_{ii}.png");
+        //        }
+        //        // --- End Simplified Filename Generation ---
+
+        //        try
+        //        {
+        //            // Saving itself is synchronous with System.Drawing
+        //            finalBmp.Save(outputPath, System.Drawing.Imaging.ImageFormat.Png);
+        //            Console.WriteLine($"Combined image saved at: {outputPath}");
+        //        }
+        //        catch (Exception ex)
+        //        {
+        //            // Consider more specific logging or error handling
+        //            Console.WriteLine($"Error saving combined image: {ex.Message}");
+        //        }
+        //    }
+
+        //    // Dispose loaded images passed into the method
+        //    foreach (var (success, image, imageGenerator) in createdImages)
+        //    {
+        //        image?.Dispose(); // Add null check for safety
+        //    }
+
+        //    // Dispose fonts
+        //    fontForSubtitle?.Dispose(); // Add null check
+        //    fontForPrompt?.Dispose();   // Add null check
+        //}
     }
 }
diff --git a/MultiImageClient/ImageManager.cs b/MultiImageClient/ImageManager.cs
index 30e647d..3a8b34f 100644
--- a/MultiImageClient/ImageManager.cs
+++ b/MultiImageClient/ImageManager.cs
@@ -1,5 +1,6 @@
 using System;
 using System.Collections.Generic;
+using System.Diagnostics;
 using System.IO;
 using System.Threading.Tasks;
 using System.Xml.Linq;
@@ -49,29 +50,46 @@ public async Task<Dictionary<SaveType, string>> DoSaveAsync(AbstractPromptGenera
             return savedImagePaths;
         }
 
-        public async Task ProcessAndSaveAsync(TaskProcessResult result, AbstractPromptGenerator promptGenerator, MultiClientRunStats stats)
+        public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult result, AbstractPromptGenerator promptGenerator, MultiClientRunStats stats)
         {
             try
             {
                 if (!result.IsSuccess)
                 {
-                    Logger.Log(result.ToString());
-                    return;
+                    return result;
                 }
-                if (string.IsNullOrEmpty(result.Url))
+                var sw = Stopwatch.StartNew();
+                byte[] imageBytes;
+                if (!string.IsNullOrEmpty(result.Url))
                 {
-                    Logger.Log($"No URL: {result.ErrorMessage}");
-                    return;
+                    imageBytes = await ImageSaving.DownloadImageAsync(result);
+                    result.DownloadTotalMs = sw.ElapsedMilliseconds;
+                    var downloadResults = await DoSaveAsync(promptGenerator, imageBytes, result, stats, _settings);
+                    await SaveJsonLogAsync(result, downloadResults);
+                    return result;
+                }
+                else
+                {
+                    var ii = 0;
+                    foreach (var qq in result.Base64ImageDatas)
+                    {
+                        //Console.WriteLine($"Saving one things: {ii}");
+                        imageBytes = Convert.FromBase64String(qq);
+                        var downloadResults = await DoSaveAsync(promptGenerator, imageBytes, result, stats, _settings);
+                        ii++;
+                        await SaveJsonLogAsync(result, downloadResults);
+                    }
+                    result.DownloadTotalMs = sw.ElapsedMilliseconds;
+                    return result;
                 }
 
-                byte[] imageBytes = await ImageSaving.DownloadImageAsync(result);
-                var downloadResults = await DoSaveAsync(promptGenerator, imageBytes, result, stats, _settings);
-
-                await SaveJsonLogAsync(result, downloadResults);
+                
             }
             catch (Exception ex)
             {
                 Logger.Log($"\tAn error occurred while processing a task: {ex.Message}");
+                result.ErrorMessage = ex.Message;
+                return result;
             }
         }
 
diff --git a/MultiImageClient/Implementation/AbstractPromptGenerator.cs b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
index c74b8c7..d78e874 100644
--- a/MultiImageClient/Implementation/AbstractPromptGenerator.cs
+++ b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
@@ -61,7 +61,6 @@ public IEnumerable<PromptDetails> Run()
                 useVariants = Variants.ToList();
             }
             var returnedCount = 0;
-
             foreach (var promptDetails in Prompts)
             {
                 var cleanPrompt = TextUtils.CleanPrompt(promptDetails.Prompt).Trim();
@@ -88,14 +87,36 @@ public IEnumerable<PromptDetails> Run()
 
                     if (usingPrompt != promptDetails.Prompt)
                     {
+                        Console.WriteLine(usingPrompt);
+                        Console.WriteLine(promptDetails.Prompt);
                         promptDetails.ReplacePrompt(usingPrompt, usingPrompt, TransformationType.Variants);
                     }
+                    Console.WriteLine(promptDetails.Show());
+                    Console.WriteLine("Do you accept this prompt? y for yes.");
+                    var value = Console.ReadLine();
+                    if (value.Trim() == "y")
+                    {
+                        Console.WriteLine("accepted.");
+                        yield return promptDetails;
+                    }
+                    else if (value.TrimEnd() == "n")
+                    {
+                        continue;
+                    }
+                    else
+                    {
+                        var userPrompt = TextUtils.CleanPrompt(value.Trim()).Trim();
+                        var newPd = new PromptDetails();
+                        newPd.ReplacePrompt(userPrompt, userPrompt, TransformationType.InitialPrompt);
+                        yield return newPd;
+                        continue;
+                    }
 
                     for (var ii = 0; ii < CopiesPer; ii++)
                     {
                         var copy = promptDetails.Clone();
-                        yield return copy;
                         returnedCount++;
+                        yield return copy;
                         if (returnedCount >= ImageCreationLimit) yield break;
                     }
                     if (returnedCount >= ImageCreationLimit) yield break;
diff --git a/MultiImageClient/Implementation/FileNameGenerator.cs b/MultiImageClient/Implementation/FileNameGenerator.cs
index 3cc7941..68189cc 100644
--- a/MultiImageClient/Implementation/FileNameGenerator.cs
+++ b/MultiImageClient/Implementation/FileNameGenerator.cs
@@ -20,21 +20,28 @@ private static string TruncatePrompt(string prompt, int maxLength)
 
         private static string DescribeResolution(PromptDetails details)
         {
-            if (details.BFLDetails != null && details.BFLDetails.Width != default && details.BFLDetails.Height != default)
-                return $"{details.BFLDetails.Width}x{details.BFLDetails.Height}";
-            if (details.Dalle3Details != null)
+            if (details.BFL11Details != null && details.BFL11Details.Width != default && details.BFL11Details.Height != default)
+                return $"{details.BFL11Details.Width}x{details.BFL11Details.Height}";
+            else if (details.Dalle3Details != null)
                 return details.Dalle3Details.Size.ToString();
-            if (details.IdeogramDetails?.AspectRatio != null)
+            else if (details.IdeogramDetails?.AspectRatio != null)
                 return IdeogramUtils.StringifyAspectRatio(details.IdeogramDetails.AspectRatio.Value);
-            if (details.RecraftDetails != null)
+            else if (details.RecraftDetails != null)
                 return details.RecraftDetails.size.ToString().TrimStart('_');
-            return "NONE?";
+            else if (details.GptImageOneDetails != null)
+                return $"{details.GptImageOneDetails.size}";
+            else if (details.BFL11UltraDetails != null)
+                return $"{details.BFL11UltraDetails.AspectRatio}";
+            else
+                Console.WriteLine("failed to get any details for esolution description");
+
+            return "resolution_unknown";
         }
 
         private static string DescribeSafetyTolerance(PromptDetails details)
         {
-            if (details.BFLDetails != null && details.BFLDetails.SafetyTolerance != default)
-                return $"safety{details.BFLDetails.SafetyTolerance}";
+            if (details.BFL11Details != null && details.BFL11Details.SafetyTolerance != default)
+                return $"safety{details.BFL11Details.SafetyTolerance}";
             return "";
         }
 
@@ -50,9 +57,9 @@ private static string SanitizeFilename(string filename)
 
         private static string GetIfAPIServiceDoesRewrites(PromptDetails details)
         {
-            if (details.BFLDetails != null)
+            if (details.BFL11Details != null)
             {
-                if (details.BFLDetails.PromptUpsampling)
+                if (details.BFL11Details.PromptUpsampling)
                 {
                     return "BFL_upsampling";
                 }
@@ -90,9 +97,10 @@ public static string GenerateUniqueFilename(TaskProcessResult result, string bas
 
             var components = new List<string>() { };
 
-            components.Add(promptGeneratorName);
-            components.Add(usingPromptTextPart);
+            //components.Add(promptGeneratorName);
+            components.Add(DateTime.Now.ToString("yyyyMMddHHmmss"));
             components.Add(result.ImageGenerator.ToString());
+            components.Add(usingPromptTextPart);
             if (result.PromptDetails.RecraftDetails != null)
             {
                 components.Add(result.PromptDetails.RecraftDetails.style.ToString());
@@ -112,7 +120,7 @@ public static string GenerateUniqueFilename(TaskProcessResult result, string bas
 
             components.Add(DescribeResolution(result.PromptDetails));
             components.Add(GetIfAPIServiceDoesRewrites(result.PromptDetails));
-            components.Add(DateTime.Now.ToString("yyyyMMddHHmmss"));
+            
             components.Add(saveType.ToString());
 
             string combined = string.Join("_", components.Where(c => !string.IsNullOrEmpty(c)));
@@ -121,31 +129,7 @@ public static string GenerateUniqueFilename(TaskProcessResult result, string bas
             // Ensure the filename is unique
             int count = 0;
             string uniqueFilename;
-            var ext = "";
-            if (string.IsNullOrEmpty(result.ContentType))
-            {
-                //in future, this should never happen; we 
-                ext = result.ImageGenerator.GetFileExtension();
-            }
-            else
-            {
-                if (result.ContentType == "image/webp")
-                {
-                    ext = ".webp";
-                }
-                else if (result.ContentType == "image/svg+xml")
-                {
-                    ext = ".svg";
-                }
-                else if (result.ContentType == "image/jpeg")
-                {
-                    ext = ".jpg";
-                }
-                else
-                {
-                    ext = result.ContentType; //.Split("/")[1]
-                }
-            }
+            var ext = ".png";
 
             do
             {
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 5290ad4..053d7d8 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -1,10 +1,15 @@
-using System;
-using System.Threading.Tasks;
+using IdeogramAPIClient;
+
+using ImageMagick;
+
+using System;
+using System.Collections.Generic;
 using System.IO;
 using System.Linq;
 using System.Net.Http;
-using System.Collections.Generic;
-using IdeogramAPIClient;
+using System.Threading.Tasks;
+
+using static System.Net.Mime.MediaTypeNames;
 
 namespace MultiImageClient
 {
@@ -12,6 +17,13 @@ public static class ImageSaving
     {
         private static readonly HttpClient httpClient = new HttpClient();
 
+        public static void ConvertWebpTopng(string inputFp)
+        {
+            var im = new MagickImage(inputFp);
+            var newFp = Path.ChangeExtension(inputFp, ".png");
+            im.Write(newFp);
+        }
+
         public static async Task<byte[]> DownloadImageAsync(TaskProcessResult result)
         {
             try
@@ -57,6 +69,35 @@ public static async Task<string> SaveImageAsync(
             }
 
             Directory.CreateDirectory(baseFolder);
+
+            if (result.ContentType == "image/webp")
+            {
+                var fakeImage = new MagickImage(imageBytes, MagickFormat.WebP);
+                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
+            }
+            else if (result.ContentType == "image/svg+xml")
+            {
+                var fakeImage = new MagickImage(imageBytes, MagickFormat.Svg);
+                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);             
+            }
+            else if (result.ContentType == "image/jpeg")
+            {
+                var fakeImage = new MagickImage(imageBytes, MagickFormat.Jpg);
+                imageBytes = fakeImage.ToByteArray(MagickFormat.Png); 
+            }
+            else if (result.ContentType == "image/png")
+            {
+                //Console.WriteLine("png do nothing, all good");
+            }
+            else if (result.ContentType == null)
+            {
+                //Console.WriteLine("contentType null, so fall into .png");
+            }
+            else
+            {
+                Console.WriteLine("some other weird contenttype. {result.ContentType}");
+            }
+
             var safeFilename = FilenameGenerator.GenerateUniqueFilename(result, baseFolder, promptGeneratorName, saveType);
             var fullPath = Path.Combine(baseFolder, safeFilename);
 
@@ -70,37 +111,34 @@ public static async Task<string> SaveImageAsync(
 
                 if (saveType == SaveType.Raw)
                 {
-                    Logger.Log($"\tSaved {saveType} image. Fp: {fullPath}");
+                    //Logger.Log($"Saved {saveType} image. Fp: {fullPath}");
                     stats.SavedRawImageCount++;
                 }
                 else
                 {
-                    if (!fullPath.EndsWith(".svg"))
+                    var imageInfo = GetAnnotationDefaultData(result, fullPath, saveType, promptGeneratorName);
+                    var usingSteps = GetUsingSteps(saveType, result.PromptDetails);
+                    if (saveType == SaveType.JustOverride)
+                    {
+                        await TextFormatting.JustAddSimpleTextToBottomAsync(
+                            imageBytes,
+                            usingSteps,
+                            imageInfo,
+                            fullPath,
+                            saveType
+                        );
+                    }
+                    else
                     {
-                        var imageInfo = GetAnnotationDefaultData(result, fullPath, saveType, promptGeneratorName);
-                        var usingSteps = GetUsingSteps(saveType, result.PromptDetails);
-                        if (saveType == SaveType.JustOverride)
-                        {
-                            await TextFormatting.JustAddSimpleTextToBottomAsync(
-                                imageBytes,
-                                usingSteps,
-                                imageInfo,
-                                fullPath,
-                                saveType
-                            );
-                        }
-                        else
-                        {
-                            await TextFormatting.SaveImageAndAnnotate(
-                                imageBytes,
-                                usingSteps,
-                                imageInfo,
-                                fullPath,
-                                saveType
-                            );
-                        }
-                        stats.SavedAnnotatedImageCount++;
+                        await TextFormatting.SaveImageAndAnnotate(
+                            imageBytes,
+                            usingSteps,
+                            imageInfo,
+                            fullPath,
+                            saveType
+                        );
                     }
+                    stats.SavedAnnotatedImageCount++;
                 }
             }
             catch (Exception ex)
@@ -116,7 +154,7 @@ private static IEnumerable<PromptHistoryStep> GetUsingSteps(SaveType saveType, P
             return saveType switch
             {
                 SaveType.FullAnnotation => promptDetails.TransformationSteps,
-                SaveType.InitialIdea or SaveType.FinalPrompt or SaveType.Raw or SaveType.JustOverride => new List<PromptHistoryStep>(),
+                SaveType.InitialIdea or SaveType.FinalPrompt or SaveType.Raw or SaveType.JustOverride => new List<PromptHistoryStep>() { promptDetails.TransformationSteps.First() },
                 _ => throw new Exception("Invalid SaveType")
             };
         }
@@ -150,7 +188,10 @@ private static Dictionary<string, string> GetAnnotationDefaultData(
                     // No annotation
                     break;
                 case SaveType.JustOverride:
+                    var initialPrompt2 = promptDetails.TransformationSteps.First().Explanation;
                     imageInfo.Add("JUST", result.PromptDetails.IdentifyingConcept);
+                    imageInfo.Add("Producer", result.ImageGenerator.ToString());
+                    imageInfo.Add("Initial Prompt", initialPrompt2);
                     break;
             }
 
@@ -175,8 +216,8 @@ private static void AddFullAnnotationInfo(Dictionary<string, string> imageInfo,
                     if (!string.IsNullOrWhiteSpace(ideogramDetails.NegativePrompt))
                         imageInfo.Add("NegativePrompt", ideogramDetails.NegativePrompt);
                     break;
-                case ImageGeneratorApiType.BFL:
-                    var bflDetails = promptDetails.BFLDetails;
+                case ImageGeneratorApiType.BFLv11:
+                    var bflDetails = promptDetails.BFL11Details;
                     imageInfo.Add("Generator", "BFL Flux 1.1");
                     if (bflDetails.Seed.HasValue)
                         imageInfo.Add("Seed", bflDetails.Seed.Value.ToString());
@@ -185,12 +226,29 @@ private static void AddFullAnnotationInfo(Dictionary<string, string> imageInfo,
                     if (bflDetails.SafetyTolerance != default)
                         imageInfo.Add("SafetyTolerance", bflDetails.SafetyTolerance.ToString());
                     break;
+                case ImageGeneratorApiType.BFLv11Ultra:
+                    var bflDetails2 = promptDetails.BFL11UltraDetails;
+                    imageInfo.Add("Generator", "BFL Flux 1.1 Ultra");
+                    if (bflDetails2.Seed.HasValue)
+                        imageInfo.Add("Seed", bflDetails2.Seed.Value.ToString());
+                    if (bflDetails2.AspectRatio != default)
+                        imageInfo.Add("AR", $"{bflDetails2.AspectRatio}");
+                    if (bflDetails2.SafetyTolerance != default)
+                        imageInfo.Add("SafetyTolerance", bflDetails2.SafetyTolerance.ToString());
+                    break;
                 case ImageGeneratorApiType.Dalle3:
                     imageInfo.Add("Generator", "Dall-e 3");
                     var dalle3Details = promptDetails.Dalle3Details;
                     imageInfo.Add("Size", $"{dalle3Details.Size}");
                     imageInfo.Add("Quality", dalle3Details.Quality.ToString());
                     break;
+                case ImageGeneratorApiType.GptImage1:
+                    imageInfo.Add("Generator", "gpt-Image-1");
+                    var gptImageOneDetails = promptDetails.GptImageOneDetails;
+                    imageInfo.Add("Size", $"{gptImageOneDetails.size}");
+                    imageInfo.Add("Moderation", $"{gptImageOneDetails.moderation}");
+                    imageInfo.Add("Quality", $"{gptImageOneDetails.quality}");
+                    break;
                 case ImageGeneratorApiType.Recraft:
                     imageInfo.Add("Generator", "Recraft");
                     imageInfo.Add("Mimetype", result.ContentType);
diff --git a/MultiImageClient/Implementation/MultiClientRunStats.cs b/MultiImageClient/Implementation/MultiClientRunStats.cs
index 9cc5121..fd26f75 100644
--- a/MultiImageClient/Implementation/MultiClientRunStats.cs
+++ b/MultiImageClient/Implementation/MultiClientRunStats.cs
@@ -16,10 +16,13 @@ public class MultiClientRunStats
         public int ClaudeWouldRefuseCount { get; set; }
         public int ClaudeRefusedCount { get; set; }
         public int ClaudeRewroteCount { get; set; }
-        
+
         public int Dalle3RequestCount { get; set; }
         public int Dalle3RefusedCount { get; set; }
-        
+
+        public int GptImageOneRequestCount { get; set; }
+        public int GptImageOneRefusedCount  { get; set; }
+
         public int BFLImageGenerationRequestCount { get; set; }
         public int BFLImageGenerationSuccessCount { get; set; }
         public int BFLImageGenerationErrorCount { get; set; }
@@ -56,6 +59,11 @@ public void PrintStats()
             if (Dalle3RefusedCount > 0)
                 nonZeroStats.Add($"Dalle3 Requests:{Dalle3RefusedCount}");
 
+            if (GptImageOneRequestCount > 0)
+                nonZeroStats.Add($"Dalle3 Requests:{GptImageOneRequestCount}");
+            if (GptImageOneRefusedCount > 0)
+                nonZeroStats.Add($"Dalle3 Requests:{GptImageOneRefusedCount}");
+
             if (BFLImageGenerationRequestCount > 0 | BFLImageGenerationErrorCount>0 | BFLImageGenerationRequestCount > 0)
                 nonZeroStats.Add($"BFL: total:{BFLImageGenerationRequestCount}, ok:{BFLImageGenerationSuccessCount}, bad:{BFLImageGenerationErrorCount} ");
 
diff --git a/MultiImageClient/Implementation/PromptDetails.cs b/MultiImageClient/Implementation/PromptDetails.cs
index ab45e5a..fbd158a 100644
--- a/MultiImageClient/Implementation/PromptDetails.cs
+++ b/MultiImageClient/Implementation/PromptDetails.cs
@@ -1,5 +1,6 @@
 using System;
 using System.Collections.Generic;
+using System.Linq;
 
 using IdeogramAPIClient;
 
@@ -7,8 +8,6 @@
 
 using SixLabors.ImageSharp;
 
-
-
 namespace MultiImageClient
 {
     /// <summary>
@@ -16,6 +15,8 @@ namespace MultiImageClient
     /// </summary>
     public class PromptDetails
     {
+        public static int NextIndex = 1;
+        public int Index { get; private set; }
         /// This should track the "active" prompt which the next step in the process should care about.  Earlier versions are in ImageConstructionSteps. <summary>
         /// To modify it call ReplacePrompt to also fix up history.
         public string Prompt { get; set; }
@@ -28,10 +29,19 @@ public class PromptDetails
         public IList<PromptHistoryStep> TransformationSteps { get; set; } = new List<PromptHistoryStep>();
 
         /// Send these along and maybe one of the image consumers can use them to make a better image path etc.?
-        public BFLDetails BFLDetails { get; set; }
+        /// these are effectively specs and should also contain the methods to generate subtitles, filenames etc for this type of job.
+        public BFL11Details BFL11Details { get; set; }
+        public BFL11UltraDetails BFL11UltraDetails { get; set; }
         public RecraftDetails RecraftDetails { get; set; }
         public IdeogramDetails IdeogramDetails { get; set; }
         public Dalle3Details Dalle3Details { get; set; }
+        public GptImageOneDetails GptImageOneDetails { get; set; }
+
+        public PromptDetails()
+        {
+            Index = NextIndex;
+            NextIndex++;
+        }
 
         public void ReplacePrompt(string newPrompt, string explanation, TransformationType transformationType)
         {
@@ -66,9 +76,14 @@ public void ReplacePrompt(string newPrompt, string explanation, TransformationTy
         public string Show()
         {
             var parts = new List<string>();
-            if (BFLDetails != null)
+
+            if (BFL11Details != null)
+            {
+                parts.Add(BFL11Details.GetDescription());
+            }
+            if (BFL11UltraDetails != null)
             {
-                parts.Add(BFLDetails.GetDescription());
+                parts.Add(BFL11UltraDetails.GetDescription());
             }
             if (RecraftDetails != null)
             {
@@ -82,12 +97,16 @@ public string Show()
             {
                 parts.Add(Dalle3Details.GetDescription());
             }
+            if (GptImageOneDetails!= null)
+            {
+                parts.Add(GptImageOneDetails.GetDescription());
+            }
             var detailsPart = string.Empty;
             if (parts.Count > 0)
             {
                 detailsPart = $" {string.Join(", ", parts)}";
             }
-            return Prompt+detailsPart;
+            return $"Index:{Index} \'{Prompt}\' {detailsPart}";
         }
 
         public void UndoLastStep()
@@ -119,7 +138,8 @@ public PromptDetails Clone()
             {
                 Prompt = Prompt,
                 IdentifyingConcept = IdentifyingConcept,
-                BFLDetails = BFLDetails != null ? new BFLDetails(BFLDetails) : null,
+                BFL11Details = BFL11Details != null ? new BFL11Details(BFL11Details) : null,
+                BFL11UltraDetails = BFL11UltraDetails != null ? new BFL11UltraDetails(BFL11UltraDetails) : null,
                 RecraftDetails = RecraftDetails != null ? new RecraftDetails(RecraftDetails) : null,
                 IdeogramDetails = IdeogramDetails != null ? new IdeogramDetails(IdeogramDetails) : null,
                 Dalle3Details = Dalle3Details != null ? new Dalle3Details(Dalle3Details) : null,
diff --git a/MultiImageClient/Implementation/TaskProcessResult.cs b/MultiImageClient/Implementation/TaskProcessResult.cs
index 6fbc07c..ca306bc 100644
--- a/MultiImageClient/Implementation/TaskProcessResult.cs
+++ b/MultiImageClient/Implementation/TaskProcessResult.cs
@@ -1,4 +1,7 @@
-namespace MultiImageClient
+using System.Collections.Generic;
+using System.Diagnostics;
+
+namespace MultiImageClient
 {
     public class TaskProcessResult
     {
@@ -7,11 +10,19 @@ public class TaskProcessResult
         public GenericTextGenerationErrorType GenericTextErrorType { get; set; } = 0;
 
         public string ErrorMessage { get; set; }
+
+        /// <summary>
+        /// gpt-image-1 returns the data as base64 encoded string, so we have already decoded it and just have it here.
+        /// so, sometimes guy won't have Url but will have the image data.
+        /// </summary>
         public string Url { get; set; }
+        public IEnumerable<string> Base64ImageDatas { get; set; } = new List<string>();
         public string ContentType { get; set; }
         public PromptDetails PromptDetails { get; set; }
         public ImageGeneratorApiType ImageGenerator { get; set; }
         public TextGeneratorApiType TextGenerator { get; set; }
+        public long CreateTotalMs { get; set; } = 0;
+        public long DownloadTotalMs { get; set; } = 0;
 
         public override string ToString()
         {
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index b87a1c9..c9fb263 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -15,10 +15,17 @@
 using IdeogramAPIClient;
 using System.Text.RegularExpressions;
 using SixLabors.ImageSharp.Processing;
-using System.Drawing.Text;
 using SixLabors.Fonts;
 using SixLabors.ImageSharp.Drawing.Processing;
-using System.Threading;
+using System.Drawing;
+using RectangleF = SixLabors.ImageSharp.RectangleF;
+using Color = SixLabors.ImageSharp.Color;
+using PointF = SixLabors.ImageSharp.PointF;
+using SystemFonts = SixLabors.Fonts.SystemFonts;
+using Rectangle = SixLabors.ImageSharp.Rectangle;
+using Point = SixLabors.ImageSharp.Point;
+using Image = SixLabors.ImageSharp.Image;
+using FontStyle = SixLabors.Fonts.FontStyle;
 
 
 namespace MultiImageClient
@@ -30,11 +37,10 @@ public static class TextFormatting
 
         private static void DrawKeyValuePair(IImageProcessingContext ctx, string key, string value, float fontSize, float x, float keyWidth, float valueWidth, ref float y)
         {
-            //var key = $"{step.TransformationType}";
-            //var value = step.Explanation;
+            // just trunc. ugh.
             value = value.Length > 2500 ? value[..2500] + "..." : value;
 
-            var font = SystemFonts.CreateFont("Arial", fontSize, FontStyle.Regular);
+            var font = SixLabors.Fonts.SystemFonts.CreateFont("Arial", fontSize, SixLabors.Fonts.FontStyle.Regular);
             const float PADDING = 4;
 
             // Measure text height with wrapping
@@ -75,41 +81,79 @@ private static void DrawKeyValuePair(IImageProcessingContext ctx, string key, st
 
         public static async Task JustAddSimpleTextToBottomAsync(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
         {
-            using var originalImage = Image.Load<Rgba32>(imageBytes);
-            int annotationHeight = 100;
-            int newHeight = originalImage.Height + annotationHeight;
+            Console.WriteLine(outputPath);
+            using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(imageBytes);
+            var imageWidth = originalImage.Width;
+            var intendedFontSize = 24;
+            
+            var theText = historySteps.First().Prompt ?? "failed to get text";
+            SixLabors.Fonts.FontFamily fontFamily;
+            if (!SystemFonts.TryGet("Segoe UI", out fontFamily))
+            {
+                if (!SystemFonts.TryGet("Arial", out fontFamily))
+                {
+                    fontFamily = SystemFonts.Families.First(); // Fallback
+                }
+            }
+            var testFont = fontFamily.CreateFont(intendedFontSize, FontStyle.Regular);
+
+            var horizontalPadding = 10;
+            var verticalPadding = 10;
+            var availableXPixels = imageWidth - (horizontalPadding * 2);
+
+            //we can measure font length with:
+            var textOptions = new RichTextOptions(testFont)
+            {
+                WrappingLength = availableXPixels,
+                LineSpacing = 1.15f,
+                HorizontalAlignment = HorizontalAlignment.Left,
+                VerticalAlignment = VerticalAlignment.Top,
+                Dpi= 72,
+                FallbackFontFamilies = new[] { SystemFonts.Families.First() }
+            };
+
+            // Using the correct TextMeasurer method from SixLabors.Fonts
+            var keyBounds = TextMeasurer.MeasureBounds(theText, textOptions);
+
+            int textHeight = (int)Math.Ceiling(keyBounds.Height);
+            int yPixelsToAdd = textHeight + (verticalPadding * 2);
+            int newHeight = originalImage.Height + yPixelsToAdd;
 
             using var annotatedImage = new Image<Rgba32>(originalImage.Width, newHeight);
 
             annotatedImage.Mutate(ctx =>
             {
+                // antialiasing.
+                ctx.SetGraphicsOptions(new GraphicsOptions
+                {
+                    Antialias = true,
+                    AntialiasSubpixelDepth = 16
+                });
+
                 // Draw original image
                 ctx.DrawImage(originalImage, new Point(0, 0), 1f);
 
                 // Set up the annotation area at the bottom
-                ctx.Fill(Color.Black, new Rectangle(0, originalImage.Height, originalImage.Width, annotationHeight));
+                ctx.Fill(Color.Black, new Rectangle(0, originalImage.Height, originalImage.Width, yPixelsToAdd));
 
-                // Setup text positioning
-                float y = originalImage.Height + 10;
-                float leftMargin = 10;
-                float rightMargin = annotatedImage.Width - 10;
-                float totalWidth = rightMargin - leftMargin;
+                // Position text with proper padding
+                textOptions.Origin = new PointF(horizontalPadding, originalImage.Height + verticalPadding);
 
-                // Get text from imageInfo if available
-                var theText = imageInfo.FirstOrDefault().Value ?? "";
+                ctx.DrawText(textOptions, theText, Color.White);
 
-                // Draw the text in white on the black background
-                var font = SystemFonts.CreateFont("Arial", 48, FontStyle.Bold);
-                var textOptions = new TextOptions(font)
+
+                var meta = imageInfo["Producer"] ?? "no gen";
+                // Create smaller font for metadata
+                var metaFont = fontFamily.CreateFont(intendedFontSize * 0.75f, FontStyle.Regular);
+                var metaOptions = new RichTextOptions(metaFont)
                 {
-                    HorizontalAlignment = HorizontalAlignment.Center,
-                    WrappingLength = totalWidth
+                    HorizontalAlignment = HorizontalAlignment.Right,
+                    VerticalAlignment = VerticalAlignment.Bottom,
+                    Dpi = 72,
+                    Origin = new PointF(imageWidth - horizontalPadding, newHeight - verticalPadding)
                 };
 
-                var textBounds = TextMeasurer.MeasureBounds(theText, textOptions);
-                float x = leftMargin + (totalWidth - textBounds.Width) / 2;
-
-                ctx.DrawText(theText, font, Color.White, new PointF(x, y));
+                ctx.DrawText(metaOptions, meta, new Color(new Rgba32(200, 200, 200)));
             });
 
             await annotatedImage.SaveAsPngAsync(outputPath);
@@ -134,7 +178,7 @@ public static async Task SaveImageAndAnnotate(byte[] imageBytes, IEnumerable<Pro
                     Logger.Log($"{ex2} failed normal load");
                     try
                     {
-                        originalImage = Image.Load<Rgba32>(imageBytes);
+                        originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(imageBytes);
                     }
                     catch (Exception ex3)
                     {
diff --git a/MultiImageClient/Implementation/TextUtils.cs b/MultiImageClient/Implementation/TextUtils.cs
index 2649917..f236843 100644
--- a/MultiImageClient/Implementation/TextUtils.cs
+++ b/MultiImageClient/Implementation/TextUtils.cs
@@ -16,6 +16,7 @@
 using IdeogramAPIClient;
 using System.Text.RegularExpressions;
 using System.Xml.Linq;
+using CommandLine;
 
 
 namespace MultiImageClient
@@ -26,7 +27,9 @@ public static class TextUtils
         private static readonly Dictionary<string, int> _filenameCounts = new Dictionary<string, int>();
         private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
         private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
-        public static List<string> bads = new List<string>() { "[", "]", "(", ")", "{", "}","\\","\"","\'", ":", };
+        public static List<string> bads = new List<string>() { };// "[", "]", "(", ")", "{", "}","\\","\"","\'", ":", };
+        //don't clean these here; if someone needs the prompt to be clean, then just do that yourself later. it's not the prompts problem.
+        
         public static string CleanPrompt(string prompt)
         {
             foreach (var bad in bads)
diff --git a/MultiImageClient/MultiImageClient.csproj b/MultiImageClient/MultiImageClient.csproj
index c97a699..a354c6a 100644
--- a/MultiImageClient/MultiImageClient.csproj
+++ b/MultiImageClient/MultiImageClient.csproj
@@ -21,9 +21,11 @@
     <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
     <PackageReference Include="LLamaSharp" Version="0.17.0" />
     <PackageReference Include="LLamaSharp.Backend.Cuda12" Version="0.16.0" />
+    <PackageReference Include="Magick.NET-Q16-AnyCPU" Version="14.8.2" />
+    <PackageReference Include="Magick.NET.Core" Version="14.8.2" />
     <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
-    <PackageReference Include="OpenAI" Version="2.0.0" />
-    <PackageReference Include="SixLabors.ImageSharp" Version="3.1.6" />
+    <PackageReference Include="OpenAI" Version="2.1.0" />
+    <PackageReference Include="SixLabors.ImageSharp" Version="3.1.11" />
     <PackageReference Include="SixLabors.ImageSharp.Drawing" Version="2.1.4" />
     <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
   </ItemGroup>
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 5876f08..216f08d 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -18,6 +18,7 @@ public class Program
         private static BFLService _BFLService;
         private static IdeogramService _IdeogramService;
         private static Dalle3Service _Dalle3Service;
+        private static GptImageOneService _GptImageOneService;
         private static RecraftService _RecraftService;
         private static ClaudeService _ClaudeService;
  
@@ -26,6 +27,7 @@ private static void InitializeServices(Settings settings, int concurrency)
             _BFLService = new BFLService(settings.BFLApiKey, concurrency);
             _IdeogramService = new IdeogramService(settings.IdeogramApiKey, concurrency);
             _Dalle3Service = new Dalle3Service(settings.OpenAIApiKey, concurrency);
+            _GptImageOneService = new GptImageOneService(settings.OpenAIApiKey, concurrency);
             _RecraftService = new RecraftService(settings.RecraftApiKey, concurrency);
             _ClaudeService = new ClaudeService(settings.AnthropicApiKey, concurrency);
         }
@@ -34,23 +36,20 @@ private static IWorkflow CreateWorkflow(GeneralActionType actionType, WorkflowCo
             
             var generators = new List<IImageGenerator>
             {
-                new BFLGenerator(_BFLService),
-                new IdeogramGenerator(_IdeogramService),
-                new Dalle3Generator(_Dalle3Service),
-                new RecraftGenerator(_RecraftService),
+                new BFLGenerator(_BFLService, ImageGeneratorApiType.BFLv11),
+                new BFLGenerator(_BFLService, ImageGeneratorApiType.BFLv11Ultra),
+                new IdeogramGenerator(_IdeogramService, ImageGeneratorApiType.Ideogram),
+                new Dalle3Generator(_Dalle3Service, ImageGeneratorApiType.Dalle3),
+                new GptImageOneGenerator(_GptImageOneService, ImageGeneratorApiType.GptImage1),
+                new RecraftGenerator(_RecraftService, ImageGeneratorApiType.Recraft),
             };
             return actionType switch
             {
                 GeneralActionType.PromptToImageWithSteps =>
-                    new PromptToImageWithStepsWorkflow(context, _BFLService, _IdeogramService, _Dalle3Service, _RecraftService, _ClaudeService),
+                   new PromptToImageWithStepsWorkflow(context, generators, abstractPromptGenerator, settings),
                 GeneralActionType.SamePromptMultipleTargets =>
                     new SamePromptMultipleTargetsWorkflow(context, generators, abstractPromptGenerator, settings),
 
-            //WorkflowContext workflowContext,
-            //List<IImageGenerator> generators,
-            //AbstractPromptGenerator abstractPromptGenerator,
-            //Settings settings)
-
                 GeneralActionType.ImageToTextToImageWithSteps => throw new NotImplementedException(),
                 _ => throw new NotImplementedException("Unknown workflow")
             };
@@ -60,11 +59,12 @@ static async Task Main(string[] args)
         {
             var settingsFilePath = "settings.json";
             var settings = Settings.LoadFromFile(settingsFilePath);
-            var concurrency = 12;
+            var concurrency = 1;
             
             InitializeServices(settings, concurrency);
 
             GeneralActionType gat = GeneralActionType.SamePromptMultipleTargets;
+            gat = GeneralActionType.PromptToImageWithSteps;
             var abstractPromptGenerator = new LoadFromFile(settings, "");
 
             var im = new ImageManager(settings);
diff --git a/MultiImageClient/PromptToImageWithStepsWorkflow.cs b/MultiImageClient/PromptToImageWithStepsWorkflow.cs
new file mode 100644
index 0000000..545979a
--- /dev/null
+++ b/MultiImageClient/PromptToImageWithStepsWorkflow.cs
@@ -0,0 +1,98 @@
+using MultiImageClient.promptGenerators;
+
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.Linq;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class PromptToImageWithStepsWorkflow : IWorkflow
+    {
+        private readonly WorkflowContext _workflowContext;
+        private readonly IEnumerable<IImageGenerator> _generators;
+        private readonly AbstractPromptGenerator _abstractPromptGenerator;
+        private readonly Settings _settings;
+
+        public PromptToImageWithStepsWorkflow(
+            WorkflowContext workflowContext,
+            IEnumerable<IImageGenerator> generators,
+            AbstractPromptGenerator abstractPromptGenerator,
+            Settings settings)
+        {
+            _workflowContext = workflowContext;
+            _generators = generators;
+            _abstractPromptGenerator = abstractPromptGenerator;
+            _settings = settings;
+        }
+        public async Task RunAsync()
+        {
+            var basePromptGenerator = new LoadFromFile(_workflowContext.Settings, "");
+            var steps = new List<ITransformationStep>();
+            var stats = new MultiClientRunStats();
+
+            var allTasks = new List<Task>();
+
+            foreach (var promptDetails in basePromptGenerator.Run())
+            {
+                Logger.Log($"\n--- Processing prompt: {promptDetails.Index}");
+
+                foreach (var step in steps)
+                {
+                    var res = await step.DoTransformation(promptDetails, stats);
+                    if (!res)
+                    {
+                        Logger.Log($"\tStep {step.Name} failed: {promptDetails.Show()}");
+                        continue;
+                    }
+                    Logger.Log($"\tStep:{step.Name} => {promptDetails.Show()}");
+                }
+
+
+                var tasks = _generators.Select(async generator =>
+                {
+                    var theCopy = promptDetails.Clone();
+                    TaskProcessResult result = await generator.ProcessPromptAsync(theCopy, stats);
+                    await _workflowContext.ImageManager.ProcessAndSaveAsync(result, basePromptGenerator, stats);
+                    return result;
+                }).ToList();
+
+                foreach (var t in tasks)
+                {
+                    await t.ContinueWith(OnFinished, TaskScheduler.Default);
+                }
+
+                allTasks.AddRange(tasks);
+                stats.PrintStats();
+                Console.WriteLine($"kicked off task.");
+            }
+
+            while (allTasks.Any(t => !t.IsCompleted))
+            {
+                var completed = allTasks.Count(t => t.IsCompleted);
+                var remaining = allTasks.Count - completed;
+                Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining …");
+                await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
+            }
+        }
+        private void OnFinished(Task<TaskProcessResult> task)
+        {
+
+            if (task.IsFaulted)
+            {
+                Logger.Log($"Task faulted: {task.Exception?.Flatten().InnerException}");
+                return;
+            }
+            if (task.IsCanceled)
+            {
+                Logger.Log("Task was canceled.");
+                return;
+            }
+
+            var res = task.Result;   
+            Logger.Log($"Finished in {res.CreateTotalMs + res.DownloadTotalMs} ms, {res.PromptDetails.Show()}");
+        }
+    }
+}
\ No newline at end of file
diff --git a/MultiImageClient/PromptToImageWithStepsWorkflow.cs.cs b/MultiImageClient/PromptToImageWithStepsWorkflow.cs.cs
deleted file mode 100644
index bfe0782..0000000
--- a/MultiImageClient/PromptToImageWithStepsWorkflow.cs.cs
+++ /dev/null
@@ -1,80 +0,0 @@
-using MultiImageClient.promptGenerators;
-
-using System;
-using System.Collections.Generic;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class PromptToImageWithStepsWorkflow : IWorkflow
-    {
-        private readonly WorkflowContext _workflowContext;
-        private readonly BFLService _BFLService;
-        private readonly IdeogramService _IdeogramService;
-        private readonly Dalle3Service _Dalle3Service;
-        private readonly RecraftService _RecraftService;
-        private readonly ClaudeService _ClaudeService;
-
-        public PromptToImageWithStepsWorkflow(
-            WorkflowContext workflowContext,
-            BFLService bflService,
-            IdeogramService ideogramService,
-            Dalle3Service dalle3Service,
-            RecraftService recraftService,
-            ClaudeService claudeService)
-        {
-            _workflowContext = workflowContext;
-            _BFLService = bflService;
-            _IdeogramService = ideogramService;
-            _Dalle3Service = dalle3Service;
-            _RecraftService = recraftService;
-            _ClaudeService = claudeService;
-        }
-
-        public async Task RunAsync()
-        {
-            var basePromptGenerator = new LoadFromFile(_workflowContext.Settings, "");
-            var steps = new List<ITransformationStep>();
-            var stats = new MultiClientRunStats();
-            var generators = new List<IImageGenerator>
-            {
-                new IdeogramGenerator(_IdeogramService),
-                new BFLGenerator(_BFLService),
-                new RecraftGenerator(_RecraftService)
-            };
-
-            foreach (var promptDetails in basePromptGenerator.Run())
-            {
-                stats.PrintStats();
-                Logger.Log($"\n--- Processing prompt: {promptDetails.Show()} ---");
-
-                // Apply transformation steps
-                foreach (var step in steps)
-                {
-                    var res = await step.DoTransformation(promptDetails, stats);
-                    if (!res)
-                    {
-                        Logger.Log($"\tStep {step.Name} failed: {promptDetails.Show()}");
-                        continue;
-                    }
-                    Logger.Log($"\tStep:{step.Name} => {promptDetails.Show()}");
-                }
-
-                for (int jj = 0; jj < basePromptGenerator.FullyResolvedCopiesPer; jj++)
-                {
-                    foreach (var generator in generators)
-                    {
-                        var theCopy = promptDetails.Clone();
-                        var result = await generator.ProcessPromptAsync(theCopy, stats);
-
-                        await _workflowContext.ImageManager.ProcessAndSaveAsync(result, basePromptGenerator, stats);
-                    }
-                    await Task.Delay(500);
-                }
-            }
-
-            Logger.Log("All tasks completed.");
-            stats.PrintStats();
-        }
-    }
-}
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
new file mode 100644
index 0000000..20cb722
--- /dev/null
+++ b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
@@ -0,0 +1,49 @@
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.IO;
+using System.Linq;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class SamePromptMultipleTargetsWorkflow : IWorkflow
+    {
+        private readonly WorkflowContext _workflowContext;
+        private readonly IEnumerable<IImageGenerator> _generators;
+        private readonly AbstractPromptGenerator _abstractPromptGenerator;
+        private readonly Settings _settings;
+
+        public SamePromptMultipleTargetsWorkflow(
+            WorkflowContext workflowContext,
+            IEnumerable<IImageGenerator> generators,
+            AbstractPromptGenerator abstractPromptGenerator,
+            Settings settings)
+        {
+            _workflowContext = workflowContext;
+            _generators = generators;
+            _abstractPromptGenerator = abstractPromptGenerator;
+            _settings = settings;
+        }
+
+        public async Task RunAsync()
+        {
+            var stats = new MultiClientRunStats();
+            foreach (var promptDetails in _abstractPromptGenerator.Run())
+            {
+                // Process all generators asynchronously
+                var tasks = _generators.Select(async generator =>
+                {
+                    var theCopy = promptDetails.Clone();
+                    var result = await generator.ProcessPromptAsync(theCopy, stats);
+                    await _workflowContext.ImageManager.ProcessAndSaveAsync(result, _abstractPromptGenerator, stats);
+                }).ToList();
+                
+                await Task.WhenAll(tasks);
+
+                var combiner = new ImageCombiner();
+                //combiner.SaveMultipleImagesWithSubtitle(tasks, _settings, promptDetails.Prompt);
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs
deleted file mode 100644
index 4d68420..0000000
--- a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs.cs
+++ /dev/null
@@ -1,74 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.IO;
-using System.Linq;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class SamePromptMultipleTargetsWorkflow : IWorkflow
-    {
-        private readonly WorkflowContext _workflowContext;
-        private readonly IEnumerable<IImageGenerator> _generators;
-        private readonly AbstractPromptGenerator _abstractPromptGenerator;
-        private readonly Settings _settings;
-
-        public SamePromptMultipleTargetsWorkflow(
-            WorkflowContext workflowContext,
-            IEnumerable<IImageGenerator> generators,
-            AbstractPromptGenerator abstractPromptGenerator,
-            Settings settings)
-        {
-            _workflowContext = workflowContext;
-            _generators = generators;
-            _abstractPromptGenerator = abstractPromptGenerator;
-            _settings = settings;
-        }
-
-        public async Task RunAsync()
-        {
-            foreach (var prompt in _abstractPromptGenerator.Run())
-            {
-                // Process all generators asynchronously
-                var tasks = _generators.Select(generator=> ProcessGeneratorAsync(generator, prompt)).ToList();
-                (bool IsSuccess, Image Image, ImageGeneratorApiType ImageGenerator)[] results = await Task.WhenAll(tasks);
-
-                var combiner = new ImageCombiner();
-                combiner.SaveMultipleImagesWithSubtitle(results, _settings, prompt.Prompt);
-            }
-        }
-
-        private async Task<(bool IsSuccess, Image Image, ImageGeneratorApiType ImageGenerator)> ProcessGeneratorAsync(
-            IImageGenerator generator,
-            PromptDetails prompt)
-        {
-            try
-            {
-                var result = await generator.ProcessPromptAsync(prompt, _workflowContext.Stats);
-                if (!result.IsSuccess || string.IsNullOrEmpty(result.Url))
-                {
-                    Logger.Log($"Failed to process prompt for {generator.GetApiType}: {result.ErrorMessage}");
-                    return (false, null, generator.GetApiType);
-                }
-
-                var imageBytes = await ImageSaving.DownloadImageAsync(result);
-                if (imageBytes.Length == 0)
-                {
-                    Logger.Log($"Failed to download image for {generator.GetApiType}");
-                    return (false, null, generator.GetApiType);
-                }
-
-                using var ms = new MemoryStream(imageBytes);
-                var image = Image.FromStream(ms);
-
-                return (true, image, generator.GetApiType);
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Error processing generator {generator.GetApiType}: {ex.Message}");
-                return (false, null, generator.GetApiType);
-            }
-        }
-    }
-}
diff --git a/MultiImageClient/Services/BFLService.cs b/MultiImageClient/Services/BFLService.cs
index d313d39..3ecaabb 100644
--- a/MultiImageClient/Services/BFLService.cs
+++ b/MultiImageClient/Services/BFLService.cs
@@ -27,66 +27,96 @@ public BFLService(string apiKey, int maxConcurrency)
         public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
         {
             await _bflSemaphore.WaitAsync();
+            
+            ImageGeneratorApiType genType;
             try
             {
-                var bflDetails = promptDetails.BFLDetails;
-                var request = new FluxPro11Request
+                GenerationResponse generationResponse = null;
+                if (promptDetails.BFL11UltraDetails != null)
                 {
-                    Prompt = promptDetails.Prompt,
-                    Width = bflDetails.Width,
-                    Height = bflDetails.Height,
-                    PromptUpsampling = bflDetails.PromptUpsampling,
-                    SafetyTolerance = bflDetails.SafetyTolerance,
-                    Seed = bflDetails.Seed
-                };
+                    genType = ImageGeneratorApiType.BFLv11Ultra;
+                    var request2 = new FluxPro11UltraRequest
+                    {
+                        Prompt = promptDetails.Prompt,
+                        AspectRatio = "1:1",
+                        //Width = 2048,
+                        //Height = 2048,
+                        PromptUpsampling = promptDetails.BFL11UltraDetails.PromptUpsampling,
+                        SafetyTolerance = promptDetails.BFL11UltraDetails.SafetyTolerance,
+                        Seed = promptDetails.BFL11UltraDetails.Seed
+
+                    };
+                    generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request2);
+                }
+                else
+                {
+                    genType = ImageGeneratorApiType.BFLv11;
+                    var request = new FluxPro11Request
+                    {
+                        Prompt = promptDetails.Prompt,
+                        Width = promptDetails.BFL11Details.Width,
+                        Height = promptDetails.BFL11Details.Height,
+                        PromptUpsampling = promptDetails.BFL11Details.PromptUpsampling,
+                        SafetyTolerance = promptDetails.BFL11Details.SafetyTolerance,
+                        Seed = promptDetails.BFL11Details.Seed
+                    };
 
+                    generationResponse = await _bflClient.GenerateFluxPro11Async(request);
+                }
+                    //var bflDetails = promptDetails.BFL11Details;
+                    
                 stats.BFLImageGenerationRequestCount++;
 
-                var generationResult = await _bflClient.GenerateFluxPro11Async(request);
-                Logger.Log($"\tFrom BFL: '{generationResult.Status}'");
+                
+                Logger.Log($"{promptDetails.Index} From BFL: '{generationResponse.Status}'");
 
                 // this is where we handle generator-specific error types.
-                if (generationResult.Status != "Ready")
+                if (generationResponse.Status != "Ready")
                 {
-                    if (generationResult.Status == "Content Moderated")
+                    var baseResponse = new TaskProcessResult { IsSuccess = false, PromptDetails = promptDetails, ImageGenerator = genType, ErrorMessage = generationResponse.Status };
+                    if (generationResponse.Status == "Content Moderated")
                     {
                         stats.BFLImageGenerationErrorCount++;
-                        return new TaskProcessResult { IsSuccess = false, ErrorMessage = generationResult.Status, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL, GenericImageErrorType = GenericImageGenerationErrorType.ContentModerated};
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.ContentModerated;
+                        return baseResponse;
                     }
-                    else if (generationResult.Status == "Request Moderated")
+                    else if (generationResponse.Status == "Request Moderated")
                     {
                         stats.BFLImageGenerationErrorCount++;
-                        return new TaskProcessResult { IsSuccess = false, ErrorMessage = generationResult.Status, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL, GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated };
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated;
+                        return baseResponse;
+
                     }
                     else
                     {
                         // also you have to handle the out of money case.
                         stats.BFLImageGenerationErrorCount++;
-                        return new TaskProcessResult { IsSuccess = false, ErrorMessage = generationResult.Status, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.Unknown;
+                        return baseResponse;
                     }
                         
                 }
                 else
                 {
-                    Logger.Log($"BFL image generated: {generationResult.Result.Sample}");
+                    Logger.Log($"{promptDetails.Index} BFL image generated: {generationResponse.Result.Sample}");
                     stats.BFLImageGenerationRequestCount++;
-                    var returnedPrompt = generationResult.Result.Prompt.Trim();
+                    var returnedPrompt = generationResponse.Result.Prompt.Trim();
                     if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
                     {
-                        //BFL replaced the prompt. Never actually happens.
+                        //BFL replaced the prompt. It actually happens!
                         promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
                     }
 
-                    var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, generationResult.Result.Sample));
+                    var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, generationResponse.Result.Sample));
                     var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-                    return new TaskProcessResult { IsSuccess = true, Url = generationResult.Result.Sample, ContentType = contentType, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL };
+                    return new TaskProcessResult { IsSuccess = true, Url = generationResponse.Result.Sample, ContentType = contentType, PromptDetails = promptDetails, ImageGenerator = genType };
                 }
 
             }
             catch (Exception ex)
             {
-                Logger.Log($"BFL error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFL };
+                Logger.Log($"{promptDetails.Index} BFL error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFLv11 };
             }
             finally
             {
diff --git a/MultiImageClient/Services/GptImageOneService.cs b/MultiImageClient/Services/GptImageOneService.cs
new file mode 100644
index 0000000..59c5eb7
--- /dev/null
+++ b/MultiImageClient/Services/GptImageOneService.cs
@@ -0,0 +1,126 @@
+using Anthropic.SDK;
+using Anthropic.SDK.Constants;
+using Anthropic.SDK.Messaging;
+
+using BFLAPIClient;
+
+using IdeogramAPIClient;
+
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+
+using OpenAI;
+using OpenAI.Assistants;
+using OpenAI.Images;
+using OpenAI.Models;
+
+using System;
+using System.ClientModel;
+using System.Collections.Generic;
+using System.IO;
+using System.Net.Http;
+using System.Net.Http.Headers;
+using System.Reflection;
+
+using System.Threading;
+using System.Threading.Tasks;
+using System;
+using System.IO;
+using System.Net.Http;
+using System.Net.Http.Headers;
+using System.Text;
+using System.Text.Json;
+using System.Threading.Tasks;
+using System.Diagnostics;
+
+namespace MultiImageClient
+{
+    public class GptImageOneOptions
+    {
+        public string Prompt { get; set; }
+        public int? N { get; set; }
+        public string Model { get; set; }
+    }
+
+    public class GptImageOneService : IImageGenerationService
+    {
+        private SemaphoreSlim _gptImageOneSemaphore;
+        static readonly HttpClient http = new HttpClient();
+
+        public GptImageOneService(string apiKey, int maxConcurrency)
+        {
+            //var openAIClient = new OpenAIClient(apiKey);
+            //_openAIImageClient = openAIClient.GetImageClient("gpt-image-1");
+            _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
+            http.DefaultRequestHeaders.Authorization =
+                new AuthenticationHeaderValue("Bearer", apiKey);
+        }
+
+
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
+        {
+            await _gptImageOneSemaphore.WaitAsync();
+            var sw = Stopwatch.StartNew();
+            try
+            {
+                stats.GptImageOneRequestCount++;
+                var genOptions = new ImageGenerationOptions();
+                genOptions.Quality = promptDetails.GptImageOneDetails.quality;
+
+                var body = new
+                {
+                    model = "gpt-image-1",
+                    prompt = promptDetails.Prompt,
+                    moderation = "low",
+                    quality = "high",
+                    //response_format = "png",
+
+                    n = 1,
+                    //size = "1024x1024"
+                    size = "auto",
+                };
+
+                using var content = new StringContent(
+                    System.Text.Json.JsonSerializer.Serialize(body),
+                    Encoding.UTF8,
+                    "application/json");
+
+                using var resp = await http.PostAsync(
+                    "https://api.openai.com/v1/images/generations",
+                    content);
+
+                if (!resp.IsSuccessStatusCode)
+                {
+                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
+                }
+                resp.EnsureSuccessStatusCode();
+
+                var json = await resp.Content.ReadAsStringAsync();
+                //await File.WriteAllTextAsync("response.json", json);
+                using var doc = JsonDocument.Parse(json);
+                var qq = doc.RootElement.GetProperty("data");
+                var ll = qq.GetArrayLength();
+                var b64s = new List<string>();
+                foreach (var el in qq.EnumerateArray())
+                {
+                    var b64 = el.GetProperty("b64_json").GetString();
+                    b64s.Add(b64);  
+                }
+
+
+                Console.WriteLine($"Generated:{promptDetails.Prompt}");
+                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s,  Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+            }
+            finally
+            {
+                _gptImageOneSemaphore.Release();
+            }
+        }
+    }
+}
\ No newline at end of file
diff --git a/MultiImageClient/Services/RecraftService.cs b/MultiImageClient/Services/RecraftService.cs
index 37e0815..058b963 100644
--- a/MultiImageClient/Services/RecraftService.cs
+++ b/MultiImageClient/Services/RecraftService.cs
@@ -34,7 +34,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                     Logger.Log("Truncating the prompt for Recraft.");
                 }
                 var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, recraftDetails);
-                Logger.Log($"\tFrom Recraft: '{generationResult.Created}'");
+                Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
                 stats.RecraftImageGenerationSuccessCount++;
                 var theUrl = generationResult.Data[0].Url;
 
diff --git a/MultiImageClient/imageGenerators/AbstractImageGenerator.cs b/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
index 3c10b41..acc181d 100644
--- a/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
+++ b/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
@@ -5,9 +5,12 @@ namespace MultiImageClient
     public abstract class AbstractImageGenerator
     {
         internal IImageGenerationService _svc { get; set; }
-        public AbstractImageGenerator(IImageGenerationService svc)
+        public ImageGeneratorApiType GetApiType { get; set; }
+
+        public AbstractImageGenerator(IImageGenerationService svc, ImageGeneratorApiType getApiType)
         {
             _svc = svc;
+            GetApiType = getApiType;
         }
         public abstract Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats);
     }
diff --git a/MultiImageClient/imageGenerators/BFLGenerator.cs b/MultiImageClient/imageGenerators/BFLGenerator.cs
index d1934a7..f490bbe 100644
--- a/MultiImageClient/imageGenerators/BFLGenerator.cs
+++ b/MultiImageClient/imageGenerators/BFLGenerator.cs
@@ -9,21 +9,39 @@ namespace MultiImageClient
 {
     public class BFLGenerator : AbstractImageGenerator, IImageGenerator
     {
-        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.BFL;
-        public BFLGenerator(IImageGenerationService svc) : base(svc)
+        public BFLGenerator(IImageGenerationService svc, ImageGeneratorApiType specificGenerator) : base(svc, specificGenerator)
         {
         }
         public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
         {
-            var bflDetails = new BFLDetails
+            //this is where we set up the details actually.
+            if (GetApiType == ImageGeneratorApiType.BFLv11)
+            { 
+                var bflDetails = new BFL11Details
+                {
+                    Width = 1440,
+                    Height = 1440, //1376
+                    PromptUpsampling = true,
+                    SafetyTolerance = 6,
+                };
+                pd.BFL11Details = bflDetails;
+            }
+            else if (GetApiType == ImageGeneratorApiType.BFLv11Ultra)
             {
-                Width = 1440,
-                Height = 1440, //1376
-                PromptUpsampling = false,
-                SafetyTolerance = 6,
-            };
-            pd.BFLDetails = bflDetails;
-            Logger.Log($"\tSubmitting to BFL: {pd.Prompt}");
+                var bflDetails11Ultra = new BFL11UltraDetails
+                {
+                    AspectRatio = "1:1",
+                    PromptUpsampling = true,
+                    SafetyTolerance = 6,
+                };
+                pd.BFL11UltraDetails = bflDetails11Ultra;
+            }
+            else
+            {
+                Logger.Log("erro.?");
+            }
+
+            Logger.Log($"{pd.Index} Submitting to {GetApiType}");
             var res = await _svc.ProcessPromptAsync(pd, stats);
             return res;
         }
diff --git a/MultiImageClient/imageGenerators/Dalle3Generator.cs b/MultiImageClient/imageGenerators/Dalle3Generator.cs
index fa36844..5479115 100644
--- a/MultiImageClient/imageGenerators/Dalle3Generator.cs
+++ b/MultiImageClient/imageGenerators/Dalle3Generator.cs
@@ -11,7 +11,7 @@ namespace MultiImageClient
     public class Dalle3Generator : AbstractImageGenerator, IImageGenerator  
     {
         public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Dalle3;
-        public Dalle3Generator(IImageGenerationService svc) : base(svc)
+        public Dalle3Generator(IImageGenerationService svc, ImageGeneratorApiType imageGeneratorApiType) : base(svc, imageGeneratorApiType)
         {
         }
         public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
@@ -25,7 +25,7 @@ public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails p
             };
             pd.Dalle3Details = dalle3Details;
 
-            Logger.Log($"\t\tSubmitting to Dalle3: {pd.Prompt}");
+            Logger.Log($"{pd.Show()} Submitting to Dalle3");
             var res = await _svc.ProcessPromptAsync(pd, stats);
             return res;
         }
diff --git a/MultiImageClient/imageGenerators/GptImageOneDetails.cs b/MultiImageClient/imageGenerators/GptImageOneDetails.cs
new file mode 100644
index 0000000..9261a8d
--- /dev/null
+++ b/MultiImageClient/imageGenerators/GptImageOneDetails.cs
@@ -0,0 +1,31 @@
+using IdeogramAPIClient;
+using OpenAI.Images;
+
+namespace MultiImageClient
+{
+    public class GptImageOneDetails : IDetails
+    {
+        public string Model { get; set; } = "gpt-image-1";
+        public string moderation { get; set; } = "low";
+        public string output_format { get; set; } = "png";
+        public string quality { get; set; } = "high";
+        public string size { get; set; } = "auto";
+
+        //public GeneratedImageSize Size { get; set; }
+        //public GeneratedImageQuality Quality { get; set; }
+        //public GeneratedImageFormat Format { get; set; }
+
+        public GptImageOneDetails() { }
+        public GptImageOneDetails(GptImageOneDetails other)
+        {
+            moderation =  other.moderation;
+            output_format = other.output_format;
+            quality= other.quality;
+            size= other.size;
+        }
+
+        public string GetDescription() { 
+            return $"{moderation}-{size}-{quality}-{size}";
+        }
+    }
+}
\ No newline at end of file
diff --git a/MultiImageClient/imageGenerators/GptImageOneDetails1.cs b/MultiImageClient/imageGenerators/GptImageOneDetails1.cs
new file mode 100644
index 0000000..4182435
--- /dev/null
+++ b/MultiImageClient/imageGenerators/GptImageOneDetails1.cs
@@ -0,0 +1,4 @@
+namespace MultiImageClient
+{
+    
+}
\ No newline at end of file
diff --git a/MultiImageClient/imageGenerators/GptImageOneGenerator.cs b/MultiImageClient/imageGenerators/GptImageOneGenerator.cs
new file mode 100644
index 0000000..699fb94
--- /dev/null
+++ b/MultiImageClient/imageGenerators/GptImageOneGenerator.cs
@@ -0,0 +1,27 @@
+using OpenAI.Images;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class GptImageOneGenerator : AbstractImageGenerator, IImageGenerator  
+    {
+        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Dalle3;
+        public GptImageOneGenerator(IImageGenerationService svc, ImageGeneratorApiType imageGeneratorApiType) : base(svc, imageGeneratorApiType)
+        {
+        }
+        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
+        {
+            var gptImageOneDetails = new GptImageOneDetails();
+            pd.GptImageOneDetails= gptImageOneDetails;
+
+            Logger.Log($"{pd.Show()} Submitting to GptImageOne");
+            var res = await _svc.ProcessPromptAsync(pd, stats);
+            return res;
+        }
+    }
+}
diff --git a/MultiImageClient/imageGenerators/IdeogramGenerator.cs b/MultiImageClient/imageGenerators/IdeogramGenerator.cs
index e4e0727..6d68b1f 100644
--- a/MultiImageClient/imageGenerators/IdeogramGenerator.cs
+++ b/MultiImageClient/imageGenerators/IdeogramGenerator.cs
@@ -14,7 +14,7 @@ public class IdeogramGenerator : AbstractImageGenerator, IImageGenerator
     {
         public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Ideogram;
 
-        public IdeogramGenerator(IImageGenerationService svc) : base(svc)
+        public IdeogramGenerator(IImageGenerationService svc, ImageGeneratorApiType imageGeneratorApiType) : base(svc, imageGeneratorApiType)
         {
         }
 
@@ -29,7 +29,7 @@ public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails p
             };
             pd.IdeogramDetails = ideogramDetails;
 
-            Logger.Log($"\t\tSubmitting to Ideogram: {pd.Prompt}");
+            Logger.Log($"{pd.Show()} Submitting to Ideogram");
             var res = await _svc.ProcessPromptAsync(pd, stats);
             return res;
         }
diff --git a/MultiImageClient/imageGenerators/RecraftGenerator.cs b/MultiImageClient/imageGenerators/RecraftGenerator.cs
index 1cf7eed..b541cd6 100644
--- a/MultiImageClient/imageGenerators/RecraftGenerator.cs
+++ b/MultiImageClient/imageGenerators/RecraftGenerator.cs
@@ -13,7 +13,7 @@ public class RecraftGenerator : AbstractImageGenerator, IImageGenerator
         public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Recraft;
         private static Random random = new Random();
 
-        public RecraftGenerator(IImageGenerationService svc) : base(svc)
+        public RecraftGenerator(IImageGenerationService svc, ImageGeneratorApiType imageGeneratorApiType) : base(svc, imageGeneratorApiType)
         {
         }
 
@@ -38,24 +38,36 @@ private RecraftDetails GetRandomRecraftStyleAndSubstyleDetails()
             details.style = styles[random.Next(styles.Count)].ToString();
 
             // Based on chosen style, select appropriate substyle
+
+            bool coinFlip = true;
+
             switch (details.style)
             {
                 case "digital_illustration":
                     var digitalStyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles))
                         .Cast<RecraftDigitalIllustrationSubstyles>().ToList();
-                    details.substyle = digitalStyles[random.Next(digitalStyles.Count)].ToString();
+                    if (coinFlip)
+                    {
+                        details.substyle = digitalStyles[random.Next(digitalStyles.Count)].ToString();
+                    }
                     break;
 
                 case "realistic_image":
                     var realisticStyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyles))
                         .Cast<RecraftRealisticImageSubstyles>().ToList();
-                    details.substyle = realisticStyles[random.Next(realisticStyles.Count)].ToString();
+                    if (coinFlip)
+                    {
+                        details.substyle = realisticStyles[random.Next(realisticStyles.Count)].ToString();
+                    }
                     break;
 
                 case "vector_illustration":
                     var vectorStyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles))
                         .Cast<RecraftVectorIllustrationSubstyles>().ToList();
-                    details.substyle = vectorStyles[random.Next(vectorStyles.Count)].ToString();
+                    if (coinFlip)
+                    {
+                        details.substyle = vectorStyles[random.Next(vectorStyles.Count)].ToString();
+                    }
                     break;
             }
 
@@ -66,11 +78,11 @@ public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails p
         {
             if (pd.RecraftDetails == null)
             {
-                //pd.RecraftDetails = GetRandomRecraftStyleAndSubstyleDetails();
-                pd.RecraftDetails = GetDefaultRecraftDetails();
+                pd.RecraftDetails = GetRandomRecraftStyleAndSubstyleDetails();
+                //pd.RecraftDetails = GetDefaultRecraftDetails();
             }
             
-            Logger.Log($"Submitting to Recraft with style {pd.RecraftDetails.GetFullStyleName()}");
+            Logger.Log($"{pd.Show()} Submitting to Recraft");
             var res = await _svc.ProcessPromptAsync(pd, stats);
             return res;
         }
diff --git a/MultiImageClient/promptGenerators/EmotionFaces.cs b/MultiImageClient/promptGenerators/EmotionFaces.cs
index c34d604..79d8c97 100644
--- a/MultiImageClient/promptGenerators/EmotionFaces.cs
+++ b/MultiImageClient/promptGenerators/EmotionFaces.cs
@@ -15,7 +15,7 @@ public EmotionFaces(Settings settings) : base(settings)
         public override string Name => "Paintings";
         public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Prefix => "";
-        public override int ImageCreationLimit => 20;
+        public override int ImageCreationLimit => 30;
         public override int CopiesPer => 1;
         public override bool RandomizeOrder => false;
         public override int FullyResolvedCopiesPer => 2;
diff --git a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
index 1a560b6..67d525e 100644
--- a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
@@ -47,12 +47,12 @@ private IEnumerable<PromptDetails> GetPrompts()
             if (_IncludePrivate)
             {
                 sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt");
-                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt");
+                //sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt");
             }
             if (_IncludePublic)
             {
-                sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt");
-                sourceFPs.Add("D:\\proj\\prompts3.txt");
+                //sourceFPs.Add("D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt");
+                //sourceFPs.Add("D:\\proj\\prompts3.txt");
             }
                 
             if (!string.IsNullOrEmpty(FilePath))
diff --git a/MultiImageClient/promptGenerators/LoadFromFile.cs b/MultiImageClient/promptGenerators/LoadFromFile.cs
index 8c418e5..30baea4 100644
--- a/MultiImageClient/promptGenerators/LoadFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadFromFile.cs
@@ -25,9 +25,9 @@ public LoadFromFile(Settings settings, string path) : base(settings)
 
         public override string Name => nameof(LoadFromFile);
 
-        public override int ImageCreationLimit => 400;
-        public override int CopiesPer => 2;
-        public override int FullyResolvedCopiesPer => 2;
+        public override int ImageCreationLimit => 109;
+        public override int CopiesPer => 1;
+        public override int FullyResolvedCopiesPer => 1;
         public override bool RandomizeOrder => true;
         public override string Prefix => "";
         public override IEnumerable<string> Variants => new List<string> { "" };
@@ -41,8 +41,8 @@ private IEnumerable<PromptDetails> GetPrompts()
             var sourceFPs = new List<string>() {
                 "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt",
                 "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt",
-                //"D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
-                //"D:\\proj\\prompts3.txt" 
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\prompts3.txt"
             };
             
             if (!string.IsNullOrEmpty(FilePath)) {
@@ -56,23 +56,23 @@ private IEnumerable<PromptDetails> GetPrompts()
                 var items = File.ReadAllLines(fp).ToList();
                 foreach (var usePrompt in items)
                 {
-                    if ((usePrompt.Contains("{{") || usePrompt.Contains("[[")) && !(usePrompt.Contains("[[[") || usePrompt.Contains("}}}")))
-                    {
-                        continue;
-                    }
+                    //if ((usePrompt.Contains("{{") || usePrompt.Contains("[[")) && !(usePrompt.Contains("[[[") || usePrompt.Contains("}}}")))
+                    //{
+                    //    continue;
+                    //}
                     if (string.IsNullOrEmpty(usePrompt))
                     {
                         continue;
                     }
-                    var good = false;
-                    if (usePrompt.ToLower().Contains("japan") || usePrompt.ToLower().Contains("girl")|| usePrompt.ToLower().Contains("woman") || usePrompt.ToLower().Contains("high school") || usePrompt.ToLower().Contains("chinese") || usePrompt.ToLower().Contains("x"))
-                    {
-                        good = true;
-                    }
-                    if (!good)
-                    {
-                        continue;
-                    }
+                    //var good = false;
+                    //if (usePrompt.ToLower().Contains("japan") || usePrompt.ToLower().Contains("girl") || usePrompt.ToLower().Contains("woman") || usePrompt.ToLower().Contains("high school") || usePrompt.ToLower().Contains("chinese") || usePrompt.ToLower().Contains("asian"))
+                    //{
+                    //    good = true;
+                    //}
+                    //if (!good)
+                    //{
+                    //    continue;
+                    //}
                     allPromptsRaw.Add(usePrompt);
                 }
             }
diff --git a/MultiImageClient/promptGenerators/SinglePromptGenerator.cs b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
index bd47a98..1adf9dd 100644
--- a/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
+++ b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
@@ -39,8 +39,9 @@ public override IEnumerable<PromptDetails> Prompts
             get
             {
                 foreach (var prompt in _prompts)
-                {
+                {   
                     var details = new PromptDetails();
+
                     details.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
                     yield return details;
                 }
diff --git a/RecraftAPI/Program.cs b/RecraftAPI/Program.cs
index 3eb3cad..94d2ed4 100644
--- a/RecraftAPI/Program.cs
+++ b/RecraftAPI/Program.cs
@@ -14,8 +14,9 @@ static async Task<int> Main(string[] args)
             var details = new RecraftDetails()
             {
                 size = RecraftImageSize._1707x1024,
-                style = RecraftStyle.vector_illustration.ToString(),
-                substyle = RecraftVectorIllustrationSubstyles.cosmics.ToString(),
+                style = RecraftStyle.digital_illustration.ToString()
+                //substyle = RecraftVectorIllustrationSubstyles.
+                //substyle = RecraftVectorIllustrationSubstyles.cosmics.ToString(),
             };
 
             var cli = new RecraftClient("ly990g6UShz0ODtjMoqUnpOqfQF935fG3dEjq5kHLMrF18EojUxw3FfOin3Xyrib");
diff --git a/RecraftAPI/RecraftAPIClient.csproj b/RecraftAPI/RecraftAPIClient.csproj
index e975776..08329b6 100644
--- a/RecraftAPI/RecraftAPIClient.csproj
+++ b/RecraftAPI/RecraftAPIClient.csproj
@@ -13,7 +13,10 @@
   <ItemGroup>
     <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
     <PackageReference Include="CommandLineParser" Version="2.9.1" />
+    <PackageReference Include="Magick.NET.Core" Version="14.8.2" />
     <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
+    <PackageReference Include="OpenAI" Version="2.1.0" />
+    <PackageReference Include="SixLabors.ImageSharp" Version="3.1.11" />
     <PackageReference Include="System.Drawing.Common" Version="8.0.2" />
   </ItemGroup>
 
diff --git a/RecraftAPI/RecraftClient.cs b/RecraftAPI/RecraftClient.cs
index 742b95c..19bba5f 100644
--- a/RecraftAPI/RecraftClient.cs
+++ b/RecraftAPI/RecraftClient.cs
@@ -23,6 +23,7 @@ public RecraftClient(string apiKey)
             _apiKey = apiKey;
             _httpClient = new HttpClient();
             _httpClient.DefaultRequestHeaders.Add("Authorization", $"Bearer {apiKey}");
+            //_httpClient.DefaultRequestHeaders.Add("x-api-key", $"{apiKey}");
         }
 
 
@@ -67,6 +68,7 @@ public async Task<GenerationResponse> GenerateImageAsync(string prompt, RecraftD
             );
 
             var response = await _httpClient.PostAsync($"{_baseUrl}/images/generations", content);
+            //var response = await _httpClient.PostAsync($"{_baseUrl}", content);
             await EnsureSuccessfulResponse(response);
 
             var responseContent = await response.Content.ReadAsStringAsync();
diff --git a/output.png b/output.png
new file mode 100644
index 0000000000000000000000000000000000000000..c47f44b2fdc65ca4bceeb2b21ab3a96b9a5b1eb7
GIT binary patch
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diff --git a/save_b64.py b/save_b64.py
new file mode 100644
index 0000000..f18b5c0
--- /dev/null
+++ b/save_b64.py
@@ -0,0 +1,12 @@
+import json, base64, pathlib, sys
+
+# load the JSON blob (file or string)
+#blob = json.loads(sys.stdin.read())          # or json.loads(<your_json_string>)
+
+
+b64 = 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ftLhFZqQWjIhD+hdiofXNU+UFkqGo1klG02eheOikwPFF99cO1Viyl2vsIHnGnzqojNz+2F6pFljHnIclN6uM+Eqh4FB1c4h+X56qtKNPO8e2dE81gk5wtmcZq7lH3smWqwRL5EeigE7Np6v4fFo0iyUOVlXzSwO85uEB0Iekh/1JMOd8EYd/QUaOxBxEj6Cq1TdCBw3PDAkIIgA5b20at45eZLaixCd8a+YcLdNvTfMimktKYV3ud5qmKTepoIJTXN+qtze9h8z1iPxxq22SA6jmADKfTz0xeyZMgLqv8V/iXh1CGrO59+j6VIR014LI0xOgG3+/WMAMSruRDjRTDUyOupWlcZRc6wvR+1olvaMXrYlkUWc3BSYAcX6kfxoOTrEq6nn6UuB7JAEUtOc4X0gexOtiho0vgpcIeKVStJIyAYNTOT43b65KduwRNZ3SoXSX98yof0LFrtyiPNY1CODdVtVunpNqloG0K67+dYzihRHlfIEafucMBFFbAYEoZCnF4ROFaAiQ95dDPMfXSrKuy6X65iWUm5KFHcMkwPJ4c3lDo599Ns8Wo5pf01tvnH3NAItnJe0Qav+UNDQi3NptJHsjbSaPFV+gUAE18dX1RRB668adhHGK67DuDk6l6glBYlEaZJqGWNz08knH/EswFAhQdT0qghhax8imV+asWUOva7zmOdbocM1mCmeTWDTCIXasnWjPtUlgMbeWyPnjrL5qxVmqrHEJtIgxpt2X4qEucFV5POYpATcXvt3fixf8daDp+HpbeS19YlHMumREtSjD3vl2uzMxpRqJGfg/AApdVM7WBz0epqqukmdWTPohF7qE8lxhk1/jY7PJ0M6UX6ur2vVsT8VEDSFtp8VpQLV5j1ZsaQqcezCZtlldFt7U9JjCti6AO14GEARBnZp935WDApXN3163Uoq6Tcx2QAudr5l5vBgRz34h0D21VZR+Kt5eAYTWanKpY03qWOctssfnOsDcKajb2s0lqSX539AXGIIunTc++kfomr52wz8hnMWIAyMhl/EdIiRy3Wi3kwoHUYbJxQx2PbtuaqykBgn0quzxTxWaBLaC0/EMxd1It5+m6yWcuTuTL06QiXRRPwkzP5BJZGMV1AGwmWD0dqVKrdkb/PDGcIijmPpdQfap9qEWW/XQu6kKX3qVgGD7XT9FjhY5qRIvjkk3nGrYL1yHnK7mHwleWsd+SaDJvVS50VPxgo0iRcMXZ2i+BKPKtVJU6exFnnLywf8aYgg4oIYT5JZlZ+hqQIn9b3RViCp/4M9DZii9GF5tWKwgka81gDze2Zs4Cx0a/WSOhuYtu/wkbRjTPDS6VKwog/sKTnknAX4ZjRUQtO4y1tqZ3e8vJbehmi4MwVlFOT4guvyV82WWoGTcs0ICjZnsQP1fHGBoRbI1eR37Bk6YUtrQlmi0R8OGs9o1UyGYfayS2v76juUlA6ZlKUVTgMa40SYxkms0eerVEFuaJKQ+ttUNHx3NKTmh6b+jpAA24WU3pQCa9sPX+sTMZ+G/dWH+scqzKOomQxKuzTp2D5wbMG5y0eifDlqDxAjpQX9wLqqEbsW87sAgpTU81OeT71hIUdZ12tG/ahH6p7sDRY0nRFFFYbgcbbwBatKyqrj4BXeJBpqQ7rlNyIrKmR9dQfIk/PU0aTmfcyO7/KAc+MPR7YopQ/YG62+cvPSdZTrENieqzxer/wZb2O3uT9feTcoXETVCiGkTk1xl4OZEMKuo3Wkx8qut57fr/FnDv4vGgs/dVGtV83KzcuAKZqUJ4c/VNN3iRuaw9y+pHH60WUfN4QmHucPCScXbkaSM4kMd8DAQHpUhDHSPsXppH83exrgGnVUhhaDEbA/KCNvc1Ezqz1ePMoGj35Z4Oc7nRs/q2FzpIye6oK9BvizsJvIQ4LRz1fp58eI6jdOAXAj/FQlLZ2Z6leM0xtHyxi1wb6PsrOp6RJBbIEwSs39FyG0CG/2xRhCeOqC898epYyj9/PaJoqy1QlhfL8+FIH56mLP9pJpVUUODfKuwK4TImdiBrPyo+qBmNI1nfs4vzjOLozVFF2TqZzmydc+nYar0IBhGQuvw+8McE8QfCyp+XK2zN6Fof960aIJhbHl11+RyLJEKNF+bCYBDaDUgDM32P/OVT7cEj2+DxrlUW5zSoL40QqkPzwLJCs2ueDNlYBwRU4tsDiXdSQ8RnXeKpTvLbn37fGTwao1j21zcaPJggMitKP68MLs2/lVHbevvkO7miOlyhBogES1fldC3pLofghi1v0nf8PPNZCr0UH17KT8Sd+dUcKSRTtjoYL3dyG4yE+w8SQq/KW+6TxkrwypXVUKtg9kkJRMXE2PKJ3Kahe8e7d1YwdD8C99F36G7CzFD8oyCj3nPhMiGwu82+ND5/xQ5TeSg1Gfkg3OUF63RpMkl2qR37I6w+GPx898no347lCeyWfWjtOD5lySItjD8V8Ud0qrzRGZ3asPzJUypl/lDQR9IuS3mnVbI4hLkwu25Dp6pSaKdON3P43DnxMOcg5oujU/y5nJpzCgmrscdkpu9DVLZYTwDKmdb8rWbBlve14GWeT9dNMJ68crFZNtTN55Rf541u7ClzN//mnTmZN6WFMUX53p0LjHDL+CmiuuUFPCq9TcEB0SQTDnn9WBQEQCtwH4LrUa55CERGHhdg+meMSRF67roJB2ImKjzXoSvmk6k1Y6ttDF8PTYmI3V6kjWbelCrzK2WRfNveOa8EF6bEkoQPAmudePF9h15Zn6s1uYMko9A1oYv+5rP9RtVEW8EQ1ssbg1jqsWRqMSOFn1/2h/CDmrRF9lIydcLyKELaJ/gGuF6CBPtOC5nxUcsntiMJsnb2t80h68TqksRBW0ZRJuTmZQUvagnY9y7mYLnwwe1ZgI956PuRQEIN15LPHsLEFIkT7o7Y4QzMgcaGWAS1sJ10qkH+LeEXUfWew6ezcb0ofOPKCjiRlC2hxKaerooGCgMuILNduw85dZZQhKM4JkW48CLL5g8qg1a8ao90nq3g1FVUQpLFQOSycSPd5L76UDXEuAwyctvUNaEFAi7nyMqHIif6Skdks6atfD4yXApwzlSzS4CJfYQwCRWjq1zhd4lfBcBE3BzmyW1Rc+hYB3BjsryglWluuo21KTAUarP5lcCx1rXIudydfdddXh27g/mpXR41UXV32o3YmQTv/y+PBCGiJ/vBybyymzerPJI8oYsSbV5tpHXu12k1W22KCpBmi3NwnaLGzmgh/uhqVpntwcpwOov7knMB3QjrPhue12rzK7ltV9Z/KE2mGR3wCqntInmY/fV0zW4DtpYueDKnDMYP3eE61ir2PIGJFqz7JKRoqrJXKAF+nJCDv+eO1VpqCayd+snJeKh+4e67lm2W2tNEY80sQHrB2aSEHRTgcNQSaUmKCTD3myNY4xgBDeIu2uHwuWVCNGIJpzwKvvirZ9iX94uFWcL2EZPYmsbL2A6oIU0I+PqHV50wQOSNtj2ko0O60+6FPU91P1xGEUmYCuvzgMiEh1nmX19r9/x2nkd5XZUceVT7VVoXnbUrv4UPLqAIiyVFVKN9D8ccUJdAgyiCgNpf17vFDMh5i+Lacx+ulD7GLVw/ZUWUj/Ig+Zh3Jcq0jaTrnJZ60XhFNYmjsCk3iXVJmLYPFzn/kFY1HukKlPpw5gULt2XOvqP0pLaBIMDf/+PVuSE0xFwa2PS3WEMtfJ37a4bHJH0v6q6weUuRYerSnb6hKAVGzhPZ0EbohzkS8jRZEIkhmBaA7AThstbEGvlJwoGoDrvTQ0niTjvsq7M/RQ9fMe76clnPtNMh/nHy+zzoog6srMGw/KF6C4lWJHsbuYEvP4BpnDcr+aen2LpuAh7IfIKxUfUZmoqGNk9WZ8cx1as7vZNWlp+oyzAgpzPIvrtMkq1CO3AqtBfKi6D/1nDIRIvLOUzIdWW/W7t5r5S51gblV7IxmwJ6x7dfSfB8Q+acd3gd2Uumku7gYjIzznqz/fnFmx86Mvl5ipnWY4H0WS80Y8ak1b5DEKz96Vec3ioidtgn0cfYE+41bjFrTo8GXeD8clGPlX36zx6sr1m8ZT/Xm7af763q1+Ax594rdBMaKirclHBFyRvT9Otp5a3/hK1za41mcMTd5jlnFUh6ipErZOF2S4aap4lI94Q9FqqhTGZS8GC6wYDwc/E27cAb7XpxMS3oQKZprMz1nPFCG3gi7Zwi4mvgtJSNbK9a7BUsIFRifse89GqKVG9hr7BoYjLLebX0wwg4SO7sroGazaOYhf6SaRPOvvuA2VwK6IzVPfk4gGvDZ1hz6fImXZ1zqxmdCdHD18CVQ/HnkeSydGjczxGESa+YU7fkpMYTsPHRaPr5m2xM3swWA9dbTfGKPfelQokgedWkBIjn9enBboLfQhHD5fqbt9ZRqAp5dPDWUkYHcqxl0uQJPlTNXHFcfBQ2raeNgtr8Oz9FqDzAKIn5NT4XL3coLOOzB6X4q9aMHvXEnwEmIAVjmfV+QuvSdqhzHlGceEpns8QA1KmhzoAEz24hUqanv5Xf6UTizAz1n5s7QnBCre4eo8UAXi9tOgXlkrz2Ug0FtD8d5yMlPpRSINAZY92BVTqli3wJIDmC1TLphV9vK+XAREArVfAE0az2aZyYngTdwCK1MuirXJZxiGR+k07efeWrAl+rPVfcLQHmhABf2yZ3J9evW6RRtG+2le2P7YVPz1CwtQjC+683p8tI8isbrP1V0AJwItq/XX1dikkn0ku0yB8Ofsi01A5RplzTZnRzC7uG7kqiq/47efZgf0DTpEwxvEdEECq+YI1SxTheozuVE0IefdpEnr+d8lE2ekOJ1RwdhpGwMFDOwfi74p/TlOwIRdnLL8zwJ/gnq4KkphS0RW0wpmc370EVFiVTazSqDOrZKOiXMoytGKe8HKukrWgmya3s9W7+17Rf171X+sreEqk+rQItr2bb4RKktM1D6Wuv29N6LnjXdyd4THTIeBNT1tKm2zXeJvqe99kR/ORA1FfqpawV1AY2lXxGIniaRNqlmvAxfkIfmGXlqQqB8taIAPjopWRzDtp9XUD73ywvI6K4yuXJXby27ztIT1uPVU8McBQzxFp5hmUoytD0NWx89U+N/GblOnHC2VGdF8fyrfXj9cLYXpx/h0SfWTlKvilfrdTQ0BBRZDSY4dnE5NW7BT/qQi2krWevmf1TbvU1qnjDHqFOZMOnpc3RGepNU0FgUM5BZ+4YaGTT2N4Aq7IJO2is2R430DIdrYPpWqhEhOXX+Gc8EMWWuQIIy8m6DQCNnS05sT/cgm630eFdTwy8tQoiw1U2/JZo+yKHF+LTE1Xop260/zNTHPjL6FQa/LaMWAYIdBv3A3uRoNPVkbgZRaqUZ7cuGhuYCEWdg7PvaZzJYwAz9wJ3XxDNtsdnX3g/KJ+PIuOEyXaZKUXO9qZZMuz5z3UZKdvNTw6/flIqDlWc0yh9VIE12/a6y2r90BWycBUJ91EuZjtRIHqEDr8+LHAVxxCvvTD8LDdmR7UfCN0Rijj/W56gF5bY41t7FQyEXXZT3M6WOUV4Nw0U6cc0dZ1QljmA62ZsBqViLIdW48ltNvwMhz+tVxsXQl4z9x8LQe/rvT5BMZYE7bIdoa3clcb4FaNhHcqUsVD3sMgiZ53PzBxAqReyRMbWCEdu+duQ7btnbyojyuRlWPrwNVkN1A+FSry5ds1TTUcqAwSJoLJY8fhzP0g/95mqsWB+aHIUCqNujp9vx7rDjzmnM25RIkwIBEm0TtFUIdfJpvtgI4N3Y9DSpHb7QLF6c/WSSN3bCA4HdYUNBM35Oor1KYQOGLzBX8bKkLVR90t2pYo8FB74luP6eWV2qspWZB/Y0pWB7Hfxbo6ympmACJmxoi8GTF3/6SDudB9QJX+ji4w5VisxAgRrEQ/+mfFA+vroqZ6xSXA6PEgQ28sPjWBj0+eUn0s4VMsbRkoNeIoKe6ViEewOVoMZJ5G1PTEdOWbXdADssbybvfvuTglrPrWTN4xuJdIhMtRMWsZKAkO4B2BwlHsyfvawZCpCGGVZcLdziRwY1kdBLbDy4AB72zknzUUxTaq6qHiWbeSPlzP6dvNpFj/wYvLV/P7mUFSurBvqlowOaD4ikg7bxNhOBGNv5Hr1nGYQYt8XabJPo4e9GWhqk+WJv+/NYTNqOCzvAP4n07M0BS19PexzMsBfrTY+E57WliWdgp7NmCEmFU3Okz9HifvBKMp0TIp7VVM1TZc7aNjmS9rG6Q8hSJYLE+xcoMRYz1Pohaf3yysFYxtvbzoMX4OQ9W63NzzzCw/KN3L2PmTnyrValUUPVxovOKRnNPENBfKLNe2FFkuPptzflUEocIPKGR6mOOkKA74/L6CqQGIJcC+vToN7mOWGXgtXgt+qxtVgSsDAakvd1g4poA+IpnTuPhENu7AyQPk78Zt8x1JH6N35pVnh/cE596ns7AeSrNaeaSPMfUZkUEyuq4o06GsnECKZHlMkkb2VuqmUmDk1PozelQD3k6xfqsaJrIkUWetxCfbUFofOhojw2Kvs9NTWXz4he3JvMU3LtHesFqXT+Wz9B/EOm/yhXUp7s3MxKhPCZf3ZIsr7xDy6SJLP5qlhROnD7dDH44m86E/noL2dht+SRQk7LtO/uNrjEl0KYfJnaNI5BXoNKw2kJWqKbkTGZfaM3ivLm5SPHDoPxdMLXqZp3yKRrrdZhsQTDgmvLjWf1VSF6ulrb6TJN5sEUutHmTUvJonqrRBtaNZugXi9upqCm6Ch1QVyu91PyW07T/VZ7vTwYJ8EDyhU5QFLDA8p1RQZgt5Ke5/sDUBjquBS9S3dCuTqg9m1wMWNw1kvTceydvJUC8lEAXUbEEq63DwwbaHaeLwbwvFf7YNmT5azy2uZBtvVa0lXnSqfnaUDkcQyTEUBjY7EXHDPOqd+1jI113b15Vl9Y84yeeYg67V5eut2ctoaa+LScyAacWA85ba9pedUq2+17SfHzgKLAL2Ca4uAA5QmcRE+CF3U0tmh1+nwn4hsr9j1Ngsf0VXeisyXa6tyY//5//td+jBulR7OeOUl+4rdbMUoDhTIZJS/exSxgY/isgPrZI2S2Y8Qqds/uzTWgtYotuzt2i+jIZDk5OR02rBL6BzdIobKa7qTd6TjSMUPit1j9/RrgD6ze71wqqV3N+oPM1qOw+tBBV2n/CT+bMDxsdMRnVuvX14Pow4jN9fgQgilabRhs21It6No3VpZyoETZ0I3rwR6xBZNHlN72/Lh7zxYT/cBuID1VXXQnNPLhvHmbS2ztXu2XZRkldPCk4ksdBqDn/Ww1dVjBO+SEgdxTz8kBQqZG3N4/ZpZStg+FnQ6QT2ArIEOteR6fGa+RLsmElo7bPhlzSNWiRj0QA14wLtrzZJ3wksqDxQw5/bT84Gx108mvc5uIfNRPSPCTX2oaHY/lIr02SvKdn6oTYgidxsPcoi/xryiCEA+y9Srfkl+bzSiMlt13L1FckDmqlnxEn6hhM4f8y4Jk12HmI60Y3lCZ0ZoZMhPv3HgsJR91dno+g/anwIFaMmi/tzDF86hm+reMc2I+SRgt+n0v6YHY+S9+ZCrI/XDdNVJGT/xaV1FQH0xfIcZOPMyZu53VOGPPchmEpY6EuQB4Qlq5V5FvN9aZa5TxnFXnDmMx0EbyjBizWQIHFvsweY/jjVG9hMDRGeX11HwIBquz9Qtp7AeQHsujmglFVewjc7s3m1Xfy/I53Hhcj2maSXtKr6TIShCLtG+uleJzpmQ822ZFnJ/D3BeHGXIvYBzgu5CKvNnRQ8XPFsVsF9Nz8wnf/Mms3uAN8x+diiwZC2yh8CHzR/lrS9TbLG1nN4EGku28CNNafiQ7OnikNlLEJyfJrtuWaledAkOje9q8V0BBJcarVU/cgM5FZkB0Xq/5/sDABtnE11lCsbsPt9twIe1oQjy2279Njwcl0/PE4w3eA0pXNlvz+lkb6YhqbIkPz6fZA7PoxHkyr9c1163GQbyvjeg+L+B613ouE/eFuQrIzV8j7VCS/FuJc3yyrY6MVXhEbiLeJkwoRh6c+puu3Wk2O4hgPcTpYPZ2/CwTSvSOZ+N5xTAU/8BDFQJGEsxM9o0epiJHmuhl/z3XD3ZGEHlGr+LM6qVgudJdWUT70N/0wftI+8f+Yjnv4qiSnCV72NyewQZvZecDilhCuHWgj6D9eVTIGrx/EUThpy2zY3GVF1VO1fO3uWf8WJr8V5tzc9dw+PLX5zjzcxMSIo/nfXfmN8GsAOFAo1rJxKXyivj3x3pZsj6ICuZ7B/cbtQsiyMI+ejb0jQfrqJnc2eQShh1OyDSPr/VYbzp38Mzb3zomZcelptMZa91dh2fgsDnVNheatm6cXYoup1r2dza3rxqp9OVPIFVHumIYYUCBX2f2cpg60oABWO/cSDA21AJArx4voSLLicczg7rhQqGJMZM/Y8/qoZ+tUf9wzZhWKMSDBnCmq6JvBHeT66AWR+zl2c+0CsrMkS89txvLH/FSxemDjpHbeEg1DE8NAfGtcHFLmLLrSkXkXT0PjWd/y9cES/WIiwOuH/GPr5m835KZJE3Zu9cM2HamyYVq87Uly5mstn2h+NfbEc1NFwAzSiKsghtHq1AXBPF3HJNVp9KoiZ7DkKwjeq8wWTpMw6ZjBp3MTxVZUqwlTx2NqjWtEWmeJjjgAugK8gIk+YuIV7np/bhl6RS/I9dkKdpceXqf9qT2s7ZhLLZ+Aw7tc77o3GFVtsNDJRmM28uVWB3TSVuQlblchIMgA/jSDAMJfOfEjWauPFtnQr87lacuWF+HnWJPZDReuopOTen5j/1W9m5wRYw2uTfSTTWdkhGSkEf0X+FXeHIkh6DmKjo1E077duJvVRKkZkjPeJi2d1LisTyt/EQTzQNYaJ1DALOUA7bd02rzKuqtXiq9j5QXIxfrtrMKNvHh5qCyjMNqi5ZcWfLq1uhCr/uDSZ7bJoSAkT2zHbPQFcMc0doTD+51JbNGhETZzRvpzavDAaFRbQ/rOF1UfoAcjb2HPCLrOTBSra25oNJAu3Bv+ikMQWoFxC3Fx/Ge23tuZR2RcbffS4IH7bdPp3gVSTZt6OTlGSPBCxW/PJ/hV1XSjmwAD60aG9Ug2tzj9oOCuBJ1ouWX7VUh6lreSO13EYwKdaU/Ng2uxe6KWs1seW0JDUdB5OvnHYbAcFiQ7K5It9bfN1q/tGykstpyywTcyJLy5HXXfy9Bmjf0MGHVL4u60Xv9o4f9NXiZrvAfMQWOXnF5mBVVVYGob93japshe6m6k3as0ePshalj6VYyXy23sLnTE1C45bzXK6IC6PjShRPcIs/4D/kaum16eqlft3LT8QvDavnDMpc4u9evdYDLRIJ5MSejmHs2bpzgR6FUYQisvMSTq5vRned6M+T3SrDdejxKR3p52pir+ogfITchjEBWoca1OS/pXEeMduiYAbqwC30MauAajDoZs34Uy5ibofELDtl52q17W7AW9dcWl3KaaH2V1oKEVeKnMLSs6TDj6Yk55KLTZp7e6FK/iDhEpNNOyjvxHxXMIqOYQhchZ+Wkg62KjlCmK3i9BzPziSkcF+tFmy9LZf2pAHQH+Skes5j9qYI7J5lfqtzynCHDMf/Oxc0uLtBXTgBcMLb+K5bY9uZtKG4Z08tYCPltBRI0bWmc2XcaAueZYZwds2fmcTvNqZ7z0FIGR9LWzwSp0Oquat6qskO0VIFUOvsxhyHnZltEWBTPJHqekgKF5+YNfYDJyM+WZ4YWh1bDyher6IoGR+0PQyOfdDWjtrQtCH6oY7A1PDaNgRvlpYRiwrOowG8nSESlUWcFTePCc4APBWKwxc+3IYtz+ccd548fdGSpTYX6wsHM6LH+8uGbeldU2h/IrVJlKFcXC7uM4EzLcFfwdrPMEHS5gwtfqeVd19V4UzLTzgKnLVECsrOajlq1S0P+1H/lZXwWS5u/Vgs9zB7KDfACXrYjZ86jmGvjS30uR5hIZnzGqr/66TklC2SJOf7hJNmzhe3pyI3mE+c9HYt3S78G2YA/2ZbLfXq+CESW3+8+y8AiVYjlWJO12puzl9OKwktUpMXiCQZN0dsq9vM2NvF/o+OkAB/2a7OwK8dp9aoeMbLHjG7IaYuSLaaoFxrzg0tv6RUpCL2khe31nOWGoBAU8Z5wPtJLWaynxppclY0BbQM0605vgHNbIfZt67d9vnsYqvnQzmbad52NO4uwVnxh9HVGv+5RqdcBOOu3afcMmpt3/I2V0Buah/ghFKw7y3A9u37Aih+j53NMo3P2yVSj8TyjYPT6EdxWSd4KCFJLIwc4ahGz2psKA/xOs0frmmFZqdfRbt5FyyUEz2GkzCbvaUvdPq3lpb46HbXQT121rnNyKEd3lNVu/OitqNTo0IHQqdmyXKiBKLnGpq5OO7vMz3dsCzNR+k27x9H2Yms86zYxbOvcVx3AYwBxYpNuOl3CVj2j6XFU73i7z3LHbjpWcPQC8aUbJdpopJpfuYPitl0qDOYMuAfbjLWwP1swgVG/t6D8aRkm2Xz3tFfiWNTCqVHIMxo9FxUty2+HYJ+TfH04M84bv4J+XGrU9ttWQblMrV7BJeXqL4jUWgRBf/mp5yByalThRNN2i6jRKyfMfdPB03J9wlpt5Y10QgvAoQZSWsd6UVflNOJHLf22pL9upN+5ku9t+6fzVA2wh8vB1Mn9NASlnH2LJPs/sV7lwfS38/XupxMH2/rRmHwjwGiT3TdYMBpgcVNvaCXyVEglNuCD1mvXRrWnXE2dVF/nHtnYob5UWF/iTHJ7u4WJXe9MmUzHP4B1+d/CU87GMNerevWcpYJ9/k43MpESykMGBYfxmwTMuLEy1Z+1WI8qlCQ392/61dT7rCxZT950mAkpOb10FEKe1o23nvGU0+SpAlOnESDnOiHVuBGk3gODnyJaHBfCSach6XSq++5q0o6wEl/X9Swi40b7cvSM6pCOoTt7h5wAHqw9l7BZgFK4Yp7aHrxVt8sGXV2iEX0qAFArbthW5LfojvoVJCTVM91J1s/L7qM5g5BwfydtdntrOJXBBTiQ3DtAPt8EwhrxutPTQYzVH0w2+EkyFW3yfbWtLaE1BNq6qRG+VST2okOj/VrZvPi8WDlVAytuKHK4ATBTOi1Q0llRiPYqxjpplnNKi3iemfgpIm2nq3Wh1LMt3NRLf2TShOwwu5ROmKcJQeW+7Ru+aDa0kD+uLhwz6DXK5p1IfyJpnnnV+kFWpwSb2myXM6RTwmmSGg+5WKoFUDvmyphxqa2tedgz1EdpUUT5Zjl1dFHqOLPKBHo0fqkc54NzF5UlWO7Ifh5XrbvBX104qaWUoigfuj1QRaXml4jkXtHlik135nNf4gBpRQ2IPcGmH8DjPwCVPso4T5rSd12tqjyzagC49WaEAN8WBcF6ePLAugMD68f2jtxGw8pmQRlJ4u37+oQWUfF17roleG48tcsZP9U62meuZhzPE3vSiz2fD4sgBbrUcPtuOhjjQ2sAENK7jIgOZp23HUAKXg8N0fyVmVzZSMUjJ9n5UCc1lyrGjWoVAX9qH+1gAzYa+bkf0rj6t04UMCfVelEXOqHRB7PTO3kXmTyEIhOKfVG5aL1Pys/lOJ7y6hQsuSNfHRHz1ddFLW8YqjJk9hS+kwN174GiLeIW446WonWsts+5zhCemTuCdUu725Wvbxm1OY2mCxQt3U4rcRl2V429Wtz/kPw6Xctn02pjH28/kv30YxSC2J7h4pWqpuV3vYWqn61oRK0yyuBS/v/9SO1f21aTqdm8qKcJvNiZyNuJseiSluaafzokR32svVACSPfPRXrK0jZA+Eh1eF2itzyrp4t1ofmQlb5kTPH5+DxdOLBgPzkO04lwRzU+Af1iif2+AHCJMQiNGhLjpDEwLirh68Q7F00Bvw2Ibxn9Rd2n78koIBWKob/hpVWFAHf/H4yz/FAhSWAdEgcgaHmWBht1nw2HMdW4eBGCmrmI6o6tOl/8oD4sexF9Dv5qYAhxWhWsLId88HQ4e++pcIYuIM0+QroEhjQX+g4yoHAuciF7OU9n8Z26qSSP/SoDP6dO4Yk6xzV14ljVcZxwcW0unVU5YeZKd0Ma0/pbnj9/8H6MXQ8/MMcAf5Bv220xbHUpHn16tb5nZt2sKZLH9vs5o2eaAsB6xG1NRm33FytX47vI2B26lgaHkd+Ofb7n+NKMzi4HOvFQaOD2m1MQcxXIw92EpCP5lhhCoDCyJH9PYGsfx9jIjJ2UdMbPdJxwESDzEx9UHrfg9x6Hxz6vDlzXIf1ceda5sGQ2DV8tt/v6eCFLcMPVZt6drHtJBFv77+HEeMz3KvpafZr4YUZyBOlXmIrpl3WT9Q/l2pCGOajjK7GuOZ8dwUVNuGFQdhVij7h01H6qj47Mhbg8WT/Mq5lDCKyOT6iFjLFRD/9Udgyfr4VJEmJr1Fbs7SWSp39lJ/YS5CyJCoemSkl0CoU+ye2KE1vH4W0q6tap0e8KkKNhTBwOk0hMkzrHxjFsWNptpATk91ZJYPwzYEQeTvF65zSJqmlVUAACnu11DbGfNDZuo89+jW43jOCb3DiPnpFwJaioZWkxWzG+mQahrKSZiA5ZtRpGpB7YeAFBa9GtM0RMCv5gbSWC181p5b4HzKbq4eZ7eMNsqWYZgFK6pK9eYNM5VfbMY9mNlUdVjj+g0VbgYAphIT4ANA2avuUqY8BtqsKx9GcuBPPh2U4ohH5G78sgbXGLKIbSuHPjJW9vnN6H3cdBU4UWeIv2wEUamEFIPcN2lopCejv1zdF4gviCqMpr7jjyLIRkEuWGodn0tfXO7kE4cw+1kM6SoQ6J2StpJcXt1Q0yGPZ7TFENVCnhjepX7jlD8rp5eIXmxW01XyP0tT+h17d86k3/+Lv7tLIvc8ByDQfetW+EjpWOXFATqYd7QC8scqcy+iOwF6xaKRWH08q+vUQExu+KBk3CMYM77uECEy7IvKH3cLR6mWShUzbsWMOzO0Z/rZpF7jmGen2RN9MFkFSM9NOnCJ25ixy8q2XMFKBKira8Zb67apuGmNqhbn7Hal9yvGTvHepRbYCpcAk8u41LTk239zvIIeoZKyaYiPsVm3YIEnkOg0yL0i1rqwM6tlV8UhzP+Eaa8e+wO1IJIdMX0fucfy6kQvI9WYG5YO/W5t/nWTiKLwacd5b2xjkWiGaFnI2gYYMN/xxdTpszm+IKDVAKLOumhSU2E75bIo1E+47tU1cJR1BgDh71L5BNx3ihT0lVgKzqEXzKBinYkq1BuwzePfGaG72zL2PD+QbSf9KCVyLtI7oiKaXl+4r5kuvXG9sJCHCuk+xTlnqwbkHwe2u4xffb0RLWp6Mk8aNWhLzWd49b11bKlQM7qKuQXyVdeabY1vNcfCqNnfi52lkTi6zo6W14OZsoox3UfNI8dmMkWuy1mdnk/oOuDOTmhH5ezaTeJ1f8kb5RTaeHsxW0WiTb9y/FwEnHM8GAcKnqG226hD/IThxw3EryoWuJ6zJwIfHu82ABZhXTPZMFlCba4hjjziMH8SVyUoDV+j0fPM1U1f9dJY04iPvrpTAPflB7azgQ1MgTBpu68zTrWqb61wHKM6Esbu3UaVBLJyNhWpzmyObN6EahpISCGJmPl8La6uqL6XfJpJfhpsFa/xB9/ThqxEARJJAWQYpo4Dfc8ZC8uSsoJh234l3tfnNyl2FlYjZs9c6K1zCDuh5OjdEjA7iL1y507YlYjDY8M9RT69C6dUo8QVWS8gYnUKUrfRI0OK4hgm1WVwTn+TgSn7Ca7T4SE/HRNUtYGm2Ld82RBuLuRfKek31dSh2EJdlv9OfbFHeU/JW2+1SQDwhG/zDygWK+pNe9IUvtGlg/vXBT+ub/NYU3knDCc2QqVZoAVtMAr0yeQqIR/KuwubT2G1vp2HnAPHZLP64K1on/rl+ei7vnXdFca5mmns+xCrjwIyPtTUtMxLtURUFIG8szT8eeJb1+fOW9ntC8eVV9pz1rj1rJPU2WaQQRjl8tsxB7j8sAb/Dv6bnJuwCMBw845caedPZZhy8V3Rlc/VY/IFKi/eL3aAUNGLHancuTGn2eacm5m2qSDIXHu05C8i4311Ebq1R6ojF0pFrx2Fskra97wZfcmuDJlcoR+vxSxDD8xh3MR87/7BVlM1sc19PEKOkqeM2njzBuFicwrzDwvCGqs4Oou/HnVhv1p86/eTR9LHLkvxJP863qlJHbrTDHePK5XA6R8VX76RLu2O2wts7PaFl5qamqD8aFcClIif1MnuY6CkejqgCStEtnBgjOJOcTK0OIIdN8p8wn47omHs40Vd0rjal6SX+94kl/eLO1qINKx8pgKO7ML1Sf7rOOQhul6x175jg1+ce+kT2rhqC0fqxYD31/TBX8zncXKuvMTp4T5nZo1P977Qaw/8ZaugeIguQUG7aSCjSKhKM7/XzqjWP+8RuggvqYlOTNtWGD9QiJK61eHwqaY3igN++j1gW+/vdm5+E6psapnH5XwciWfXqGHc/4aT5s1vHRrEQ9ErqLKy9vF3fqEwZSnl//qUK7kiuAJUxab/JK1YTmbDZWDwb1msK9WgZTPMM0RgJbSg34cgnjs3Hro+IcLOROBCSyDrH+IUh3sfY26zccyNG8fpSuJrYWagkTwDXcW5vMd8k5Y5mfPGI60jcCSvJzB3zUMcYJ0/YsZt9TfbRuIN5FtfTIGOIDJu3YdfxRPVd4HEKvv35dWgVpnL1lRWaYtkHHsHUSQMv6riGkeffC1uOyS7QSPEAdm8sQiiIZ95tQvZ2k05E+fdKhGtl6RaJnyMzH/St/foPiao1kwVo8EUk3XJYAL5b3Ty+KWinPVsefKu8d3F78w+fjT27SnbQv04jAQW89sKyCXhUJ9U5yx5p55pE/baJawNbvSUEIEQWq+gnXseOnJMFHe7fXWJx4G/nRMJEGseD1VH7NR/qlP//lVqrvwTmrd/V5cnzsgq/6KvMlh3psCnnEl+1LHBwnXOi33I/u6/nGAdREuWDlB1v11/5KX215fOVYyZQ9e5M00BgpdaW/0mtFL6w6pEltnKeekbe9q+eQBeJDrpVok22/2EE55b2BBT4x7hNVyH0iUcdz03S2e6Zc1Yz8lSneNnMiU5syX8+imuJHk5ZxnOstPsYVpnQNmFiTvwdDlujCY+LWzhUqZupCcio0vF1n38HBStjkvFW6POnQ9IqpmlKfyiynTjjDKv4FEQ/3N/DHoHmGluw/e6zgRN3QGtk7PUbIiEoV90s5blYQ7XrzsK6Xc4GyjrbEiIe0edXio1XQejzY0c48fooGd2bMDNVqDWcwwa5fhouyxD0pDNGBsnSKpG2/m93PZzNm9NrToeqokfWDpPPsoxdeDzR6qroQnyN5HhZ9PA8MY0fJamei9ZxbGlihmt8/xUSa2kYBle6l7m3QkW8jloHjYLWPlJETKek2jfrNWavdURsW0zzRcypksi0LAiJ1GEXfmCHZO7sW+PN+J1uwXqpU3woVLJlJn+X78vUyldzX5+RW4uhf/QrvoS2veO4+CjZ4LNWMXmc1+IgI6XJuDjJyQM8SwPRYVA0sr97ebAmRgx2GuQiUi3TDdz4E62qZRWs8VtAMUwwVRUOFtXoui/qqg79x+zaQEi8jQdCnNRB/0GCl9M6ZQ9mRtadTul8bvj+HBQF8b0+aToifDnLbR81As/4pAyA4ppzRXDqjGy+1mbmru5oceThQOmc6Ymp4fO9fSmiJpdL4tMxRBfVr10bx713UbCh6beBhqpyNfefhdlPynB67EJNYuu400TjJo5TxlSKm+p7sOZbJ7ncd+QyuWzGRHc7ymYfP/15D7mWgDjA/JhhVTJg2Eu4bR389VWOQu8NmQ6IkfriloStgDfVHlVGzHi+JGptE2wimio3EdSwPUJsunIOCvmwz5JmpfRm0D1yrKzQVqfpZ4T/1Ss79ChseZm0kySVC9rr2zYxdGgBm6LsM6QnBVtY3EBAizZemVgqUtyin+YfUpG3NFnITM2to9bT0tIN8zKp46iQsjLST95TApVGYd30blxPn71efsF7j/x/HT31rjYHvtTUUReTDKpLlP+1rQjDue+ZGk5xwQk/PQ7mx+cLq1IjtnVH8xXRNgG2THxe4SDuvks/Ms9Jf8P3muyzYcu8run5dIiT9ATo0wTfiky6IbMNEoJH3zbsZ/a0wIZ6edTF3Jtnf3GXltAbdTIOv22lbnrG8nTZbdSePq76RTeAbObZ5BRE+gUr6W2AB9jVfKt8A3yvFrslT4h1q2LiYs5RTv6wPl3qzkv4SBbfHxKmk4WZqOowJn6kuVVsGPPfAZAghbV1bgsRdqNobBhmaXiw/mThrytqV9XPVm/Z3naBL6Io9QRIZSe9YvzFKLMO04BVN9mVIwZzJ6bZbJbtSfR5fqgukqevHTPZtiVv90p2sshtXEWnvOcUmW87TIZqUJIa2kXnSK7vSEZPYdTJaeQl5UsZMW8KwxyCcaWk34fYWjT7+K1+n2e1dUQL2iZh9sgAczPSNkfl4dTWsRnSj8+32ZjZqVRftbjFkZZfPKVVvTWGJ5cHMG8l5OjO7WX/h4nnq0vxOwN1+xIOL3m0AOdujhMJ1ZTL9WNO+OEeLdNWo34Judf256M8BLHiLJb05XNP0TEez49VEM57k0R8fyVWT1shvkMqkP7CCp0y8mBGtteaQXuTRymv0PA8MXQxskC52Fk7ExP3sH6u1VjW1SGwXU+UpugVUxh3Ou6kOo91KIDrj1LslxO3OeKkT65Gd2foo9X81hCkUvJTQ2SL7bYBq4eFggsSI1TKfPsU92zZhgI18QDA0JjBeA7Gl0ZHBCmvJa06Oor0JliL/9mKljJ5SUG3PTz+FdPSvDc0WZxpEfvWwojf0HR0a/IwxdTWpP0tS9BIMc+bGvZ5LBIs1dFdEhZsB1eYVnJnphPCp0gjGaHTv23NiXlhu7pufxWCPMvaYX0LXLFpON+8RsOu1/5JEmbikzbPvnHRTsLcPT1a6sVCRNtOBqmyMKVGY8WYejmHb2QF6qfMagnhQi+SNSfRpzvl1OgICyuasYZy8/CAdM8/AmkxLwkpQ5uOLXD3eSdo8UZ4m03sXz58CI95Q2Rbvia7LuLiE0zINYalNAN15ZnQucCWaTj5Bga4NxNom3xHyQsUAnqI8vTqmM7HafzilA/xQHc0XOYYUtYER3sCibaFdUr8yAXlM1+TCOwjsaIHaceYRF2/rhhxHMjfdCKHc7diN+OqesfyWbyl2qfWiQ3uLZxn2lbeDp5WKu5RuxLzBDUyogXyRRk9AIik0Zx+w4kCr8wUdaegaKwCvgNdiay7LInLSQeRz8le6nfkKQVt4fBWsM7leaswPzsVhwieuJVmMgnjM9DlNdRh0qMvIPeDJk/QmbCjby6CYadsmE2Aj9LY1NYyNhPHX8NTvgprxbE7/cvm/z7eRL+BC0Jg+MTrNJtYwj2QoMOOTajiX3Y250ZH7PTBVjAe7z3rrEz55XTZDSoww8uTWVq/p7fIo0z+XvJt9cBxZz3AV3GTk7eTZA7NkRQ0uDcd5sJHATXNFRO2xzNsORXk7x4vYaDtH5JS7RPuc/F+1iBPmIjcg7GyVlvdSh9Pl/TEwiCNjODg/EUbNb5Ozvai8w4do43EhGP/wrUA4LDQCtP5TBCGN18pTcgf7uJVJIxSbxN8f06PkCm7ciVSdsLWkjofLb5brVh/JsEubHW6p6L4++QwpAht4g2Y6flJKr6JZTPFXNqYB9WPlB0d0y0VOvVjPRcncn7RVAIFcJQe7+2r9n7z0yDJKw1zGMAU4gkCVuQVn+Gy112zrdprVvPHo4Wkn+dKGHe9mPf9MUkhsX29ex3/zV2C6qYvoEsb1pobmucxUWvjGA48949ev9IXbVphvdmCqUKAH2X/OpbMj5+UAeD+ty/NnPr4qfbEvjSadMkKWUszAq4IWdAKp0yUbHkEC6gV7yPGwBb6+q1mQOlDtD61E/t//53/2kJxQzJFsieGYdakOMmkuT9x63NzlHa6BMW+Qykn+fBvukkURVRfif4+QvofGqng3eTzvSVZTzq0t9O86ysxq/V6r4sTV3oAAJGv0F1In37KTLXKnxqTrVDc7y6cjODr2SPorU7CQVlYrOp+GpzCjl/ckri3DA2ZOvS20MqPUTkZVLO+2DqeuCE+kmXLe76Kv+d36FFac+0Pop0le64kVv6a67FOTNZ+pZzTx6xzUUqNJ6wg+NEgg5Lt3BV3GeezxHj/JIhmu33FvPlCIj5ub5cJn7R0Iul1C5mySBTD6ipQzdN12M8htxjT87JFe+TEFL8bSIYNt1r2sww/RbEbtFyswnY6RjvBlOyJMrfH18VvdYaeQJ3qm1zWkbSzhI9Iykad2wuT9nYuMb6iX7wQiIfLVW4K7Y4uUJWMQpfIxmzNXWy/QdZuYuaJlynSL+nQlmA8Rnj7cKFlWnG48d7Hv/fspi2z5xPnAoY819mCpPlTlup16OHoaNGv92V2Q2471crNo3ElN8uwKkUp9VSacOLjdRttReilk1yWGSgupj25DnSrLtR/RDcEqj2060VWFJHFBxq3BBYvA/ZkQ0s1Od4+OvE/W8jvz7L44ncovU02mWkRbEea06yOLrJjVRudOo9e6F0KMi2e1cr59gClJ8+q9I87+GCFaVa5uoP/Iei6OEKzKeU/Dcl+6OEXCRpDDWfrpSd19LescVf0+i5o1ykLWHJNOup8eZ18eqRDXzz0VYht5s1RpILXEk1xamW9O7oWxP9xRwOMZbfAtNSrwDTl38wWD+3buZ49KfEiwMrH1TgVbpkdtdf0NBbbppROhI0Zlp9uK5rbWUDyW0xviryMhdTdTd/P47FLJOtdnYq/2KVYBG88RsTvCwAEGPtsdl8iT4soq3FeriZmyy40Dh3+62Ys4VWxe7OOe9Am/dvKXv8Wh2nhKQ3QqObIndimPNz6ZJs1HfL2jsoUhOFc4LfvDSMNfa3BDFpzLYU5l0TnOsdZHviXNR63mwbsyn5dYTgjfO+60t+nIoYMPv8DbiRFhbzcmS1nN4yIk1UOyVyQn4ZdLtduYM1wbwYm9idoJW0Rf7QUutuHColwzziSL6SJneXS5+aqpe5S21Wl6K1oLKYl6gYuODlqeefaRZjQYSEmcB12APPV/2qbF5R8gW0BHwJdW86f0GKq40ibPNZGKgECGq+dODKSV5Te92v7AxFHITPSXw2dx/yl6ZifsWFpqnTP7Zh6/73IlhVUJgnj8A88E61M4PHqj51IHwnejoCmK5cCfD16ejPcbOgobGNN/sUKzuOxhX9LJEYGDoy3K2fd5v+TecS94HU50PLjFLou/XncJERYQenqcWuAqgED5vRksKoH8iKOUJhzd3BxzWwQHpcgcEu0KtD2dR/hlIuTYYn5LGYZOZOqtvH3zUyjq9hyKjk03vbK8aP6xYUuMa4Bg7wnkg4RZ9eVt2Km2MJVYdWNCq4e3jENy3PeKoCQf0pit6IFD7Mq5iUA3RYBco2sPO2kAwWqpJNXcNJ+4y2/h5ZQmXPjNIfWK6W+9FDwsvfumvzja9VsE39s34qoG6bJfmlhZVqBfBwGU5rcP3b9N9lXOWvPmT2M8DNgFP8caD0CrbOfFOf5HkWiOOnefaMZZ7Ssr8566qth6HuQhyVyzyUSNvWrwAVVKLMjuTOT/Z0b4VRNOHkwTEkpYczlTOsc3OWXkyd3tU+/U5UBw/pwPqY3VENAkz+Q5TnVAw2w2SHJ1pbntij9QllVTbvx6vF8XYZkZx3Gwg1marVUV3h2lpgBOYK+RasmBCbZFvo6kqZHUzQi3LXK3QTi9TWdVv4grlTySxtpHb9zwP44Yh1OdYaMEy+Sjw32FxeBslMuO0EHL4L9Trx1hy5pH9tU95xHt5W+PHEA27V7c5IV7SHVwHKvouf/oJtsfUyQ5rsdWwjaszXtThNqAhse3R8aDbHQDaS31skDKH07kXTncaNEfyiForAgYPvUduFZtPxpVKp0wWusAZYJmui1o9CaLXEAtCklBQv6RCH6WcV+m9RdD2Gg/36fUtrwKd6Sx0GCIU1uVdvPqyK+HV0GVfL83OG8lIN8fRI+EIfz2xrZPx9dxRvvId15K1mZ0RbGz5quyJFuq7JF83ZpiqbC0s975MtJ8j2b0NHOxyIgXk9Uzo8fxEHKAZnJ05bFGlJseCfb9pHc5sefcO8TXgkUP47LfpzXEGT+2NfX7TvUo88dq+gmFb14dSTunQUCqqYaklTg+3csCWGJOWIVxsYeIaHdRdD5oUBZiiiSE0uZfcGt7Yat4XLA94NSPo/v6Oz/REtKY+6n1CwCbfbo3G1JRSoFyVC2kl9+JpXeo9bf+SNo1TXmItx1KB4HZDg4smhmO1d0H1/iHIiZu7KrtEco7+UDDGL8Bj7qp8jXdCIRw/Vri7+KetIPtTlI6WApglm+mhW6rMCyNHHx4rwkf5SGnaPql1L+9prgyQ3/hwoVCw/Uq2rG2DbvGQIa5x/rOj76Ob1dwNYizSZA70makd9uTUBNAE5OlkHloAH7lqjERg8/UzF19ak7sHY+G66fEjboAQUQLWe97rXb7biVGxF1JM+/lY9btsTKU2t2C/cEdUl276OkEVzoniMkj47Un82j0xeOfkHLNiVZN2b/AvK3aUMaswn7svg15byDlllqCgimiOP9kwWYS8gIB1VIWYyfYqKwCElLd9wwnkjy5rrvWMkCe7Nn5vhFzl9WiL8G8yZ5dXzFt4EM+f9bZpeS8cRjx2O6NdXtzRL7cBokFqfDHeBPX86STrv22R4UJAARW268vHSR6rNFDgZdpbYxfeXgk0mBabyZWZNFZtBRJyVD/lCgChE0YC7vt74+Y7yoUlFC/F/tFG+ubVRPNHu0oIu5I5vRJpt1bDYkH8temuAuM00ftFJriSr80+TgVoU5MFgGPWQyBvItMkJharqoqClV5k3YpidFDv7ngLoYBk4Th1N45rdYfk0yBlkhKfTSb+wrVQ7D/xXlBRNwF38PiZJWX8LF12REW7FDgUfQpcXcwuNSyUCPiiqB/KqBdCEvKX1kZ7od3Vb/Kl5azhJLS19GnJ5Bz7hQmq8lm3lg70/3UpuwvJVRxhxHQ/KQKEw142d/g6BxGk2iy2HGfHxMze5q/+qx+zRJ9uamIKbwpN/d2iWa3YfQJycl7jXls+kd4tZHOUewoKOTZLahth0U5KTF54n0I7ns6xfeFdv79aY08+HgeJe8p6IShTfJtWWRI7JhJbxP6j6c1W77MdeYf+HolnqOZ55x6slNYdbn4qEjHi8L2lW0p3tdOPP9XVx/4SUrHQt5kxttNZuxiUw8fATnENoM9S3iWq3PwcHizusajG+x89dGi0z6QWL/RSuqy8dGox9FwgwY9ptHRK+1sd/KxTJUdDDH6plzprQfal+8Zp2TCUzT2HyTDax7llXb1eNR76ieXKU841Kmm0w2PYsO1rkpe8lKsV1kzx/WO0vuNmB/rSe57c5D8yYMrvVB34BWzByY3nBwBBG5t6jTYP3VXY6nd9lJeMuFuT/eVjnUwbQoHEO8dy8NlqOPHAjU0yo3w89E2xQEoVtvse+VcVYewP55BK2tW9tAMp2PYibIzv+k8vgh+80Y0kveeAFrX4t1pkUpxvruG6CvoMnEYMUsoWibaNRMEPxunT/oSZ+MbXv0iuPZoGvAbv516IqXNr5G3pxqw2tYMRFbPUblpZtqZZzstZ9vA44piQ9Tji8zpkV972+huwET6kO7GpANAblEr1ns10BDncxQBLEl/f5sJeM0PpnVLhE92hGf0ELL1qbqdbPgNB7DmQ0t38voibzFk3atxnkbbot3t5o/m5osx5dViGKLeaDN/V6R/Pi8CYkljbdm1YuuRmNROtcU0giybSpExozfD3Ybgm9Mu2IM9W1sJ4VJNDHGE3XbB3VL0BopRqU9OFqvojKU/tJmhp7S/VFZv4HqpT3NgWy2KhouyyAm6q5aWUwJlQ1Aih3ZUspmWS9qWzaWNlft0GNO4P5FdeN0cC2XUBrymsCnuvW/+OF0hEM51jD3fwFJ9kg4axKqmRHdcZlpsQAcS16Xut4MIUf24JfPKreBmlau+1WTLqXnVqOFblCuTgs7YM93wUDcnG6telR5oEK4qXUTKjObkJxWVqhDVLwOEyDXogVyKVoAzD+epD+Qke7V/SQ2ePEq+CbIP7gIpMfd+N73MD4V8Rcp+XrSpHBxHzdykvRT82Ilvr/rtJ1kMfbA8zl+OiJQJniDLOuE3mGz2bxq49a+OuJPMEbWSPhImB3F9l9NA8k9EZFH500qBtJrOheR5aHUwbSfsg7pGtuBnkAnDiF9NjbvTh+L4Ki6ADKwFLwqHmo2p3ns6+IOuhtxJeHwXGJxmEb5q7wE40sGNgGTV9VWx+ri0echbhzcuUVq94Z4CSZTk9fA91SmBLOa2bAPO4N3/9GXQSGH9VFrbt5YbYGFbbqq4ap1BYW7XW8Jgrinr3KEvIIU1jxJuKZK6dIgC/5fN72yTyeZJBS7FWNOzN3hODnewI29AlAiOHdokbg/geLp6dKqYcyqeE9CIb7ek5Jx/tul8x7Ip1RXdYrmmbVDhS27qzkz2JVhaesrUC0HERSRe+89cBuGW7C+24a3nU3tfXAnpDFhCAmjGn6nVvhkyPoXpBpU0EuH+amb2r3Yh4Un5U8Bj1e6bLyC0N/ySoijcXCHafgo9fElBrz4+He2+HTWRXxzsICc/vuNb6NUYaI9G18CnH09SjKwWxDyfkhZta5xuMrfRHdmIKGJsp278qY1kN08TGEYAc9Pv+4A9dXSz6DZ3FHxHEjTZshh1s+xCNVOO5TKJ0yLs3X3veKZhtE/uke1M8lKTfRJ8/uGZtB2ieqg16wKfUrP5lJiIinkPmuMnjZeXz7ZJYlq3lrze5A9qSL6whOCa0a7c+2qOMdAbc8f8wnW5zUw7Xqvx5NN126YRQOj5Si/SUKfoQMjioOPBbFFKbV8OJ2gD/4phOR9mBZYSai/ae+pC6L7+qVRMH2bE99xEFz+tMhOaVGlRTR6H6A0qaYGON1g48e7uclPPVxMrVHM8f3u1xaSXWq9vyh1HEK6xx6d2gAVUB1wAwn5Mh6y0kiP5jgCtsva26nj/uYLidNl1REL/tqKrpPFuZWS+pA9+s41RUG3RKRRmjt8gN3zv7tV6amAxrfBzonRkWuipA1UR0Cdcx9qrlqSd8EkJzCXL1gONDhHYGIVzapaMl8iPC+urSCa8HLCpkxy6LxEBZ/V5WSAqTfRiU8tplX2vmC5vhjYnKvEsTu+3vVFIf5XVE9UtyPvu1+QkKYb6NnvOTh45D1NvJISDShPfU06oLN2snTuw5S8wQjSD9WrehtHKLVLdX044pJvkQQg/DiVJHi4pZz8zYow4XDbZHQfsyelH6kJaORk5QpDWDVdp6VkHeVG3O4g14BWMW6i39DvNiSx1A5ORyLIITRXT2j7b2hDLIqn6YmX2Yte5Ttx+8bNNIjs6n2kRriKlDb6JPY8UhoiFnf0ZDPSkbi4C0iIspFJWocHpBNH7JaI7ni0+tnmYP+x4NzH5iWwV4iD3BNYCcYLZvSR1tu+W7RO7laxedJpK7FsM9rpTxcdPJPtNoCzpBVXbw0k36Bx/Ht3Uoly4aYt+iolVSnh6/Ovzk7DnP1NaW3qbvt/Ye00WsB/pJJM+0MNKK7uDAYs56dyK8KcSrCkzFo8NiOiirf1Cpe9GPL6WPV9vKGXIisM8tifWIZb0Wr4of342CNtahaF0t6RL9c+T/fozesLGXEtHyuKdgUJshsFdxVnb/UqeXTm3Pj2az9vTka9zpQjHzrOtgZ4eWrQkJdpvdqyLg6xXZZa+7aoKCQjWHZ/LHttkHqA8WdC1XMn0FEfn81FZun18ovWxVJUDQYeGMU5Forsh/bYZyR4dAefmjbSU++f8bCkQdzuWjeAr4xYlcuQnLKOcNnQkXxVzLOfxPKQ0ueQ40uPHj6NHc/oQEmY5LPLc2USSXCPQuQAvJD1e3e1fwCQfArSy27v7uiJ48g8NMXg83IpzqFF36+d+xeYmQ7/+7KunZhE4C0T1WjWA5dUUX6x0N7Wl9IOo7ZNGvqeeturIdhHy3ls0jn1+htZ50A2hn1WOpNVu4h37VfQqmWG7rEeZl6rZHBe+6ZFWvGJAUaFDZVEl372OX/V9mx53xFWy3ftVGvxWp/Evr4HkrXoxtEMlrcSqetqcvC45j1qiL/rSaDFItDdoB9AD/boIP5eLO+eDrapHT0eafFKItloieTVHafupKrdRvPHTvmZbizz9GPZrBFm1ip1TFomUzwtxF4mn84LDV76eeist1wH33QV3edjbPUNi4XwcuazjCia8V3PtEXePYCljhp/PchPc7tZtyIY1BbpaOgBXbBkGZUU2I+yYii16+PgEvre68dlV/3oMsKrlIF96Mqn+NG/rb43fYOu/csoIXGGEvLkDYfu5cdPYU82Br/yAgCjVFSUojuabZp82DpEp9ove0Ut+Z+asmgubE5+LGU4oy/FvqwbHjxMlwYtzHu3rJTFofuuwUTa70ls69Kz09ask3B324VZPnvWLb6D8Rk2phUyDTNvwKKS1QxmFhi0NgKGL8Jvs7lKSes/hQj3QL7EWeOfewgjcFzzkMQ1CYT1mn7glYL1Cba40A6zM+SNanBHz2ltomps706fQm1bJXVYnXlVKsdo8JMpvR5ilp51krhZhz6ETV0xdz/Wy0JtQaI+dOilUqKB95o0kNwTPTyuSCFPU41ovQLlwA/vKpgS0xMo+QDybmgE0pDBAW2dVj1Hkwk7wWGM4sOSYm2nV6r+hFPAQ98Q66u+5ucinTLj7uS/i82O1ceHEgkrI89QVTpubjg7o3s1TQdksv04TIxjr50KWlAfAktb/EeYhvXkhFk3oSCiKm7c6tKqVen4DQTIFRCvRuBLr/Qu2asU+AJlW+NdEpzAkjHxf1sGLRx0ay2GzNs+iXKaTqTAb+SAX6fAQ3W6Nm1z1upG7/ZrLAgzeFD82CPYoczRDyW868hchGJa8W/t1HXU66pTQ3SE7w+ckPPHdqCRW2oTnFV3dCOZCHHJd8u3paT1YSSdFMPYgxQ4Jt2Dj3pBET8nNP/3Y4K8txiUkPYGb7DRw+cQ51AnCxv1G5Oz2fika4HlJRPKhSJQxDZPeFoXMgqVtV6anLaq3w/8Q1rsf+kKEr4p4kzE7qGi6YDmM4GR70X0351CYf8HYz+HNtK4G7PO9vEkEc6UpScM92+ZMaf+RSUJD/BUYvu5wjuuWx0r2vD3iAs9SYiAzvEuCumJI0hfaPgk0DsKRPTfZ7IqfqpTSaxj7GHQkR0Xvrsp0yaXyC5COP/hnUNS5I8j3OoU2Oj1dICHwY/1CWzCEuOJklrsriWApicOEggw7HAf3kUnRePa0kE50dYz3pmMzzJZIUz/Jy6d78fEKmnOEWLJ6q/tZrpAUy8zJ/e45RxscjjniPD3wDWnO3XJsn+XyU+VV5aAVh9xnoZTgSgv3VnRIVWjlnfdSa/Im0I3VWk9qqoZ5rMfybscx8oLFC5etK/B0rkirjRfI/4ATLFB/W/yBMn00it7rcWtedVeu9f5ZfyPICIYbP1Osq+775/ojW4xWPHlIIu+1qKpuo5r/Evnh6rQXbKcaGX3bxBFv34vi8tkO66143VkYuWAShSlqHoPFo2uE1T98bGXk15S0HvaO5dbxT2c7pT20Cui8VWGihUlEH+mMizV6E5erl0lO6WhKj3oC9RTfCN7Ia5M7O7LCxQXsgFa0s5oOFCI4bSeSK+FaxduI1QrDtNfryBiUEnJIGX4l3dNdW+hyfSQxPWTO1qJ8CL0JpQbuebltTo5u9lHa2tWxcD8N+COWNQHdke9J11HWDB930HJRBzyPwzEmr+EOjN+oLYCP0l6FlV+XjooXaYRBLbskDoLbQaqx/Hge+49/ATVWzhXebZILneBxuN/mcT1Alvbh5XqcmAdCGh7O8bCBa3NqE1ex497Wojy5G6fFt0JhlsuFMw0nsrOdhpvC3CGqzzRIQOZcl2MfP6IOy0iMYd/tfqLn0eYTHRuRqffAE1UN8Wl/Co/2OtxIc5uktZX+oUSdNaSN1tt0Va5yrrFLyLKyXj79nB2aJqqo2h/OesgzSlFP6inG22TU7tBn2yKAsW0lP671Za5ILGlfyn7AZ3qqb6cABBN1hFmKE4qAzPhF4O41LbR/4xezBgDS6AA6uI0GpgDtYO9x0zTyty5HZUcvj3ov4zeBZeVvIoHqibJuBok7/qRV5eTJ7l8dnPXFnJguoPX6Imay0b43YqY9EnAUtSOEODSv8qTYYcuUjny7TKJcCvz867c8ynjbL8EYebO5C1Gqo0DTj4x81c/WTfxU8a60eil/uEbi9hTL5IP3putJtYwTulryHLQ3fzpZjpbDvpPtXVEzoTnEPl2oslg6ZJIkDEqBvwL18hWld3uAl8bGUwT4Tt52EHy3XhR07R1DSZqXK0MPxvToo2Jb3BVRsBchyGiD5zrS1lR2gop189YajyJvCTc6LXrX6hZQ71vgrQ0j1zU727vg1UlK0pjyqLmV5rKhpPxGOp80wXg1VICr1KaFWdV5oKwvn5Y3psnvDp/iecZ+MGY+3L4A/cbEy7k4V5ceUb9/HymHOKVwW4B7DTx+EA8zGMq89XIvMTs812BxautG7rykugGB9iTtxiDF6iXP3MtRSON/mK5dz5b8qYEhJo4qqGQy7eKbD9I2pm1NIxVW9is15pP3jJGPH8oeApo7UK0HgpdUaD92r3MvWZ3b/MgE++sRwnMxl0NydcpmrQMrqXzgyow3nswXtmxFL9oT+2ktM9fSzs5okYL0Cc7Zoz0tpmcm58M2UveW123KbVz5VOKeC+rfcAnfRRaKaXblacYYDtRuUA7zi3X/zHCOKNd9gpagd81Z/tSOzLQDm3yw+92ThLDYbR1FX7/HJrTfqq+3fZBS9vly0xTMw2+dX0cZf0/aOA7bT6qo48WZlEW/P3uO0SvgBx9xbRKHQ2QIQi3paYWmiXCdnxeGD3Feaj5bPr2MplKJkQzuGAaEuuv2m+apgtYDq9U4Z+rugCl1yxFuTqbqCJNHoauQEznn72IOWGScf3Ri1XFbBNWxSRkhSmBh8dy4VRVYrN4k63l4llXIrw8eolktUCYgDUdp1GZjNmfai4OVzgq9Y+4nDTqdbkC91vGTOr9apb6K0dD63t344eeqCZ1Bpts7b8uZL4xty8U5VTZJNK1zZfSGbgniU21p0VN18wgOLoI7z9/2lHq/nIZ6FTPWPR5kyx61Pllw3qhn5PVzF41XkEGqSuc58TQfONvkSaw8hiEd8o/ygGTFJLY8+fekpZMObnde6OzqUqtC8OeGMQ6KL6xU1fhql+Tlqw0qzlZqltTrUTlHlE6s0CfOuf+wIt+WMO8KNwICpMLuirk3Jht+69m81nCu9sXeL1VwIwK6oY8YczcMW1+G9ilujiY3bIcz8fOwhtKL5qZfLLwq2uRVyYZXr2fQLm/H6kShnK1gR3E7W3PBt0KfGXlJaabBwv0s0F9Kqe6vOBrFWwXNgFjPXi1hzKfwZDWfCojw25aQ8mnuYtOh5d8IqyRziBz4SktcOkftUTE4w2ppLKiqMfHnfcrq1UgM9uaWtJkvwaGbMyO9X7kLJyW7SV4Kja9ZTR3vXFX8HavGgcYHAhNbvrczlGzZkoZ4VBGnxbNcbuxy9A6AnNX98sS1DdjuWHPQjw4zI5mkOCSJzDACbnEgMim1GDbdhInInuahORGU4lVxTPNiuyL5bzZ63MJlzVY7rb7rGGb38yRnczk58EPEzHuP4mc32bdYyhV6VOaaG68H6Or2y/PNQdm9YJHyyA5B6BpZYz1R2rtGS9Uv9hRadVomybAri4Y9fk5W4Y8GtZSE0Y1s80lEa6CXC01U3Wzo7qCxoxWJnLzFltD3no4ijXfPcFhx4/O0SG8ao6/u0+fzfHZE2fGu09odOqTRBXOUZj4CeJCAh0zPVGd8qTB7Jm5/SRmfo6fL0MvQ3qH6Qw9265DpxrBOHNMFRnIjZFAC4NMoSTb7kT/6UXozRXViXAuRjqJKnG6Z+0noA/iMk+3Ij8g+wLOK5Xw42hKitE0sflyDHLagu1mWJ514J376On2SOfMHzA46OCJOVUDoshXyfpIqm6ZMt7oIy6e54WlAiU287xs92urgwPl6dy/iyqoCWznQEbFkE7/7wxqUHvqQpke5ZQt1YJlMashkmM72M6aoFxHmVryCx40fgcH0+3YTpMC+3un9namnJ6sUX6WLLS/kjJIJl2bMhTrXkECJlt/E6VfIIF1liJ7y6f1ixKnuUkuaTAsyjHe02yV5h8d4bpbIX6JCOXLApwW+sR9ZrXP/5lOSwCIzEVSYpR+oysdJlQYJSfKeukqwWX3WC1ltTy6OBPbXZwbUxIJF7aDmDFruWxB9qZkCmcUIHWW8u8zvQXRXRwmqc0AlLlpkBIwztQGvBhkLHaAeJLVIPg+no8AZ8af30OmjgrvG+M7o2JqECYpfcRmExZ7iahLlEry+cxbdnbfFkHML+niuXL56bgU++Zb8XgvgpfBeKwCiAHpS3ba9+/7dV2oDIAuAx2SUjj3pVlevONKKuzpAnptct+sqM96HFo7CtOVSFTrc4W1XORZ34UqZvHrxRNryV6lxrmMTmlaB2c+M/DZ5ctY+KzFHBs/wLQ2x5DDoKhFXSgVeDcdbbc1VhD5OH/Dug0Ek30IStnuwsr7tkI2ysd6tmSrKahT+HgWv8Yuj9oamDgwHxebNaf/9f/7Hyo+ZOK/gq9x6ZxKNsDGRGXKibneF5r0qXHo0wVZeXT3JOY2gQPV96yQeJ8iA4EYfUq/8Vy2S84C62D5Nts6F1yoOzfjgbp25Dg5y3TsAKoSK0zkZQd27cubkEze1NapzB1vJZQsGLl0GVce0ldz6HKdp/y/hBc6uGb/7Uv/o7DDO0x7fFTWGk6lThOYfN0xlpytxSq/rhW9kQNj2hYms/HyfjH/NeSnUdp4u6jTJPxULOQa7cvBuSMxl9qGEtvmUY6PEXco2ZdRZihFzsB9/EtWOzni3M8CLnAXm0bzNk3KURx3DrLvaY1U08c1tIobkoATbC9LvQoFVZq41+bofrhLcDahO+lcj9Bx2V7uBE9k3UlzRtkjiSVvVcnmb09Jlad283POrGn00oY/1JCRA3hyv0JELsnKUx9DKycti0hUOU0hJzwcs9uU9HL0z3vZC0qTvK8VUn2zV5/xTuUoLR0inJ3Cm+hvpae5xsO/CvFhPSOCsEvaDh2rrlR6ugo7qf+0nvGjqw9umoK6MIno5dA+oPyCCc+Zou27UOSuzbdcWDcPexYa8nZJvT1toroTJwLIZHmIQdSgWRyfPvWVSfMRu84bUrDT5FO3NzfwmTIDI60Cot1jc2riNtlcrY2ncp/NFB1UBvaOYIkMAAWeGJ1xZTDf6dFA3TythxUYA77s+8KLp3uDXIAk8N6ei1b1rQClwgFZNm8WlGFEeCtaMf1Gu58OFKavP/1zFprsSl+zyA0oFNq79flbXetwDuo0ZHfi1kcZ+k8eOD/A4kh4V8ldZ/pWLO8sLUNkZLaRKLv+AW4PUqZZ/zUHS6EFQbwa5D15QRE/BauytF4/Wm+xm4p0dzdjvDeevNxZABP9iD+JbhEVLRzO4OaX2vt3kqQqviHu3m95gF340mzAunzYcnPBNt6u72jIr/QFZ9gFzo8OXzUSPRpIZqgkI4wekLInrLG//jmTNW3mLEgKlEF9bt6JZvxQFTtT/aOeEXlV05TsMBBXuLxl/IwqYqiCPxAja6kw4KHvpfSQeGZywx/sbOHTJlcj4ohw8URq20uYipQGp3UoVnBL2nXrTRfIx0UPwtaLsW3G7dffDB11Rt1km4NpXGe4ffqY5IPX18V2QMX2trqltfNsMcY5eylykkXRy8XF1XeCI5TxV4RmqYI/euJzuvx6kVXMB4w3gIBQW0tXg2cxc+1cvAOnaVGPt7tNeIydqx5t58l7uAJ9PHukt9O2QpmZF5IUbwG/5Bfxlc7Gp6APq+jQDSwpjku4D8yy+eO/KtPx5x+D4+Kwuzp6kzLK6naeF7KcbjNp4UKMzoJfblPJ4mivXXZrm/5TsWT/jlauQD1FvuYhUBzhta4b7eVG5i6X2Z/lAKol/qgGivr+ybkNpPB2pUmeIn2otaeIw1JwUn2v/fxv/daPtCoaKdiV3xrLgzY1z/UQ3o8zpNMyBOnwyo1riiz0MzpJTW72Q++U7ZJXpAD9cD2VbZhqFqTDifOhK9UPCRD/VW+xYzv+jj1RAXu2yWndCUVM62oDkfAeuJpfrPWAI7nDvRTFXKuxkrj/qD3t6uvWfUWgErhDUJXalHBe3N/y8ROB542+Phypy1T2dV9hp2b/WhBSW9627Pr15gb00YwqiVXlupmsyd19RhzZVeMo3xIEQSJVuwQQfBKqfKfpwgNIulK8HMIquGP1h+waO/OOCxJNxGxBS72dvzqUOOxdcvRRY2R9CFGT4atF382IjXoTm/BG49lMm9bFenYYkRhpRZ18LW6DeinzPP9VWMtn2nhxb0TNF+B0yd6frRlJtFspxkaqRod6cbBUkBPwiq1Ai5xqr+7yfu587A+yK5AUs9nT6Kpc8W+rQjvFlxvodCD5ril/rk0Bd36gVr3t+OeE+jHyIlsmEup1Abul+Y35TGMic2kCQL4hgFd/oWykCCU+Actn2ilNl53qkQFK5Hblh0LOGaeJwc5RsDjwbow3Px92WG20mip9K8+yQvfzmoo4S+LRb85KLVvnN/CaSH6fmyNqfaa26ho68JKqBjf9UeDp/E/ZuyInGfNJqsXyRUe1X8uyJ+R79fPBnSfqa/SiwuUk1I8yKVH5KbNj7TP16nrvzh+qk/+grOJQIrfLEf/sFSZ43exfKPm9uc0zi5qZ65eJgUl9EcEvPB1yJrF/o/63i/aVvNH9vOiVAhnVXo8Ya69FIdwFIdtY8OcDp09095t4zZlx/D5FnCB6WyG2FkPAystJW9KyPoDIFnRY+2cDWvnoxX4fkqGjGW61aj8MAa3yRX52kyEftr5/GKj7ShxcqJZ3CosZLMNhYnpcvTcyrUQsSW3kTvKNbT/4aQL/zFuXGa715f39dIaPd1Cp+q5aJl/5nAJjdk+GD2l6wUGLVZBPYPRCgopQcv9xr0lEORYpUObLOjpOO8aNvU3n6kscnrn1Ao8X1WtjRD5AqIfrmMjf9iuv+fJfhvYvfI1Le3FHiUy1NI2QO3nr0EYvb0gdtm/XVFprt4n3Cbhd5nL/K+3fvGRscGau+76H2REwgbrtVFuYxVLZZP71vO8XKbo2UrWz8D/QCus0En8GKTbC5Opcw24viJvWLg6UALsLXuI3w/dbzCTslHr7SrP+B849Euwyrm3wUjYC5l+fnnzwo3UUlefSBRqAqHoiK72PtoeRN/Mxo8nK/vQtYpgI2h8WPhAfwZaWLbrEtPKJseU+u6Z39qgLTFomc7Frb0WoFD7wnIPTEwlgcnFPlble6GYPVrlpRxDh4wu4RVFLrVeIqObHRg/5RrUvluwC53SnrjPE95ZzzSyO0ArFT1JTdS0WlPLEGo30Ol2rEPbK5ieIQjaRXD9qnMvWf184b0sGQn1p1arjMg3fnG6NuMQUDpxwYCv50cbDz2qw29R2i5Exfv3+nme9dYkGNwm+3LsexyrMUt2Eykuvfvis2dDvptHdNWi+bVy16UaHEdnV7aKSaJaXBmJxb6rrBiVo6vZmHrcq7kPpfRd6XuO+47eeWVPyMJsEaxsfv8BWdAVsNFjwd9qlWn/uQMLVXYYmYonBcVcYaWne1ojyXBG6/NfS5+lcaFcGb3JmT05Z4/tlhcEmEZfLXdNQvL29Uv/niJ2tyiFIsiejj4hVfYTZZzh9hK9t7qJ7Dcng/2dofu0wjMTcyXLjjOH2VY8GUC4PhG+/bawF88Ewd65b7Wb4vX7zHFCDypyaV8Ujvx+IuhNb+yHUXu809PFcEXWfnUQEo4XN3+30CHOywGfXiBv16mNSDdH3KzuBZOPNcfGkOSP9KyvvePfGtClnk8bcVe60fJkR1lF5az2mBlWE90yj0OQwJBe3ZYlrbaqwXOMy5wZ/q2hXSQkB8Y/bZYo/tJ0STRHhlyM+UPcH6AWJ65twjKgOcYixyf6HNoTVmhaWbfBPuZQ69IFtmo118ar5jmL7I+dSKEPr1v1txdTCMp3PERoSihzpEQ880DPVaC+hszawQLfBDZyf3E3Fq36jQfn8iXZNQZ5b2ujg2d66nr2Hi6W0Un6uKFu5F4R9MgJeBioVgYRg0OqHhraks66yeoDjm79OARSABsjtaJkO0LukoWzfsQMKvykpvxjcPvjLFwsK80n5CvK9g1oqxqxDf375yCYF3F9Ge78bMP2h7osaeTa9jJ4h0SuLDBPaevU+BPZyP0syGrf/zI38OQodmvjGNGEvmWsFtLnqgMF818hl//k7gBI4Ru4aMivwh69riC5CTCy5oUrfTuey5YgE0SPrOCznVi/MFKQFJIntbvVuk5Q18SKLaUWDIpync76E8tIrRt9qgZbsFtR8NisaMAMIAKzVwXtovhAgAUb0BSnf3Hj1GDtV4YPGUHWbs3mZYdFnU0G3K4/sy5eqv8hKPC2C4Qa70mKcLOrP+yWA63ZIIpuk03iu8/2QL6kJE8t1Bz9z7SCTSQ3vsNi7MzHvxYU+99O+HVaV3pJtqqWQ1k3YslZDenQ+u544YzKOsw5+0XwBILbDMT7+Ky2FmTgzuqW9cTHHWWwXLhMr4UZsPLm1f90DKSdfESMtpGTYjVASr7j7KBCPOchTnuS3WooSRwErh+aWi8prAVUuLxl8l9dhMxwj1NYF730xpE7wVTZGtb3g6cdpSxFwOznB5EJYxzPfSPNfA66AgZKr9c3RSNLYf6SGIFJQdDO/VHOa3daiz4YILZeHJTDIBpkZZvzL4fRY9iy8HFBnKX/hO4+d1e0AxG/D1rh2X7dP1etR2Aja61fFeMPnQGy/LeuIki9aISiZmWs1TlWj8exagraeqGF8/rbkE4b1tGc+0EFbcCwJO+HSWfKAFGrBwL3LwKBR2VkoHRTf1Nza5+gQvPnKvE+Lj3OcjKbs53Z0t0+aL6oSgi04V9plE87EvZX6GqFja2ar/9ZxM9UW8P61oMbB8YXK++S1A3O/bdMciHiB47KiFBVJ/+mvS0N1N8jmoO1Hv0sH5Mt3+YFZyh04UcJvEDhS3HZQrxCeuyb+yp1aXNeMn8t4NNsptqzNxFPa9bfcgYRRaXpuRjVOfD0sBOp1X0ORevMeDza1JISWgPkxb4C95hG3ukjXYfsaW/zFdfIYYwp6TVuW3CpzGTkujLppAbtjj42qboKJutY7jJme8H0YFS0726gjx58Dpa5PnK7DdDec+vSYIW9dHyD5Ixb2i7ezBJ+bxU9H6hJEcENPXfcCT3C22eVfRWbmIyzm5ez5XcXGx8Z55ld6qsds+P3ohf0/o1EEu7WKVqzUfM4zE/VYcH7eDTs4ATNiprsNEf3EzNwhUwB/qZPLzyBxemihaTXpPAtY3vZdDGPml/jC9rLTybre9Spycjv+Xx34I3OlgnMlqH2D10kjuoBHe7JtUkBnEoXI2igeFf122xEovNyp2BBJxasCy2jsxkdgodjsNnrmbcT2Zx+fE7YZp+Bs1geZEJSIVFYvqkMokz7QCxLPy6E/p/Nii1d1tK1BLb7TMNl9OVuhZTLUAf7SGpjTyMvPPI5nczi7pnIIMMjfT9rajpilVeN2p8RNPB+ZXOz9ft9Yx8WCb3KFQ3mSVl1lWxyPc3G7ZvRql9pECowmaRkP3lZxoZ0DPJyKdIf/UXw9IuHIwk38jf7cdnlbMAnT8i5/eRdpq2yuPPQ/NESoDKYYt5qprXkvd7ZdoTMX/K58t+C7H78jM35wmdTN45jRggtbSTIuquZ0huu0ioKQLWS2NKc1ySpw0tAr1wBQWVYyNNrsPCUiK/+77vpJL2Nkp/VIcUh/2OeXN07aDEclmD0uel13klMuRcaH3HoVQP1VZZGUX3CW33qnAgIlgym/kr1WvkU22n1HW/puLkHcwpY8I3PD8k4xw4rdB0jeq3k1kFXiVYEJrsDqgrPQSG15kNietqc0B9lP/bAMAmeO64p8ycHmV9Ao0SbuvW8XO1PFUiGSQqHxFXOcqPnfDgs5YxCFgR2k0zV2pFgh9n8sD7siv5qOyUEIdhzPE/Hq+AEDyPdQUalg37kgjTbD8MQvB7M52GamsbKqGc9PNVail6Nze3Cs8+UqTrpu1+RwqUmNsW8Yct56DpH6PHFhHqzBFpxEZkNZTe7rqcOFHjkb70FZYDizSWcetwOBIL8Vrr5T4u0AVT9qNmG101ki9U4oQEYpcCCnvBxArwyRJeuGOt+4Pz4Ff8QZjZkwjZU6XO9Jf/YQC2OjPhQWS5oTi4I0ULAg30jyzDDQ/B7FnV75rbjH4frvfqWIOg3quwjT1hV+dChQK1Tc1nK8EX6d36gqIlKnfVVMzIFKr5hl7Z6OZxRnu8sMT2oucOqugFESqHpNOj6TI1mSQPUd2m7zGjCApv61M4ArswmtDRMdLNr0foFSWJx3crqXkLNkm1jyuQHJYqsRBhZ53Dhmfv7opfaWAzxdlxc7oyagzpTaT1v+sDi7DBtkLTI/SXC0AVwkzyHRP2jJFU1fUFBJBUPLsxLtUAAkmtrnJyrYZL9m7DezV+89Ivr47gHqYQl7xnN75CjSieSplrI6Usbhu1IMFFSGlFUdFL7FdFYEOlQcpK6pLe7N6iIS+WWiyl6bWVocpapEc/VYMBAjw8Qm8uFJgtew7MMBwePUA/lUq0TWYLUpoPtzIeREVfOQ9Ons4aGKl+ecmjk/90w0E2YvLfgOkncgUJB/JT0sPkk4D5ekxdXNX+8DteZdE6pj4oqdqKBzn3UFp7nQraTB0qdDclyZV9hIvd9Np9Ncbbcepys6n9+3Mm3lnGxZOS2RZeLjItL7WWOxQU+dCB7667QTIJs3+vGPFAMRXR3Wh3+0sucRXaog66GAJLubg1RvFV9+/0nV9079oOhz/8XMN2xa5k0TSVAzLafvaKspjboHs0ILGs8p/1F1Clqq2kO4Fkv/nRJrfITB9M+3m0I4ZnC2Sj95dzXlA5ityfIGm90urlZ5aXcHkvP9wlZAukIEBHp7I42G3gNAwIeuGPykXBvg2XFtBlb4lBjGPy2BvnuxW5dc5fFr5yA7ZO/T34C2vaVHZfIplA9WVFbVzIxt6wAAbLe3w9d1bpGpjh2iyzK6IVbmQ+JLyLLv4jeIgvUjIYrG9jP8GLJcISf64BXG/asbbMvJ6Jlrul3tbgGGS/ainDNH//RAXUzqnh3l7NQ5ySce/5/3HdPGdOpVrvh/I4Gw2yknW+5UY0XzBU9MtKsf6JvC1emXK450gLdt6C8RmxAiBPSmqsaCALCXAXedGog3zRHXYp7Tx4B3Z+9evIHcKVuGoa3Ey8DBpMbqLpwLYfa/4lBYa2EuxMzc/Gl0S1eSFYSPY7/bBjuHeHOE44BhCvKY3obgj2L8dDlJ+OqskeTK0gixdCePO6pHaSRIylkozdCWO4Hzxv2KuuXz1um/cHEdz2B0b+enpJOzgGpePmnMIPrzCKOpxmuG7Y4D1mY/DqqKWkW0JlXt7SjeFNVcfs6G3pEOjGay/EySlo7/JwRghGVHDZqrSrAOOFRG86sSlb6JFhY4G8TQvHSfzwRw6PRxx79apPpF2nFQ0ydBB6qu637F/IIFFmwweBtmvrfbCgThLgc4vryKPqBdHnybTpwI2wsd0EnkXJZY86GNee57O+Eh9UJCbm7sbztNY3r35XAzk/tAX5TQIYpToVyubmXo9/omyjNBrYoZNzSCURnKjUpezR8R59i54KD06FsaNNR++iHikx1aeYa14FQ3OsO51CHKHRUlZYlKTIne1VK2ZrqswO5B3NVDER1cf4Dq0FCkgDLSl5dF3Vk/GydMKQXNAkzzH4m3t7Mq4g9Q1kd6hxBHtZGboVpq2E0jCrjw+Gwt8H4Kq0kvO8kjRn/xBRmlAIghPHwxD0CaHDTfiQhNC9OBgKxL7QYrakg1opGB2QzV90lT0fZLITBKHrcQZP/UDFpLNgXMLUfLpWkrDbC7PeHb0+E8vQcIqmOJLb+JW+JZXJohMpdxaDZnvXmESzdM+sY6cMn/13uzlpxJwUmzwbbJsC9yjMNSqi9RyRHdauoL1l/vO72fz5XYyuDSWCeovgmXuDldvWRRLzHwIrNUFgPN4/GfvbjdOBGOSPsETUW19moj6etsHhECG7A+56A8V0lX5Y1XO2jbW0+nCib0OzU/vfEUedWzrlWELorkiowHuC52cmatt96x/4dl/ujQiEA2SEN8yet8STmwlvK5+m5dnNHUyQE/tEmEGwI2GIM1fzV/QdRYpdbTy20GUgTbfKW/7KDC/Q6UsKiIc8wktrkS3ubDWfCNHj9uaWcm5FYYunOpWLQIJNt5swZaoU5ASz7hJPKmejDDnzB2A7zb0sdsk0OfedpAuvULQEnXyyvNjuZfYV2GcyiMTGdjH0cMtJrryzgYiSFzJZ9+HaoDYVlK4JpjYhE1l6iVKzNQx1RGKFrUNubrHS1K99sNSxDmfAL7TI2Euq64mDtt5v4tlcvfaMdPItrVyR51pTiM8mAX0+w0t4Mq+mL51kGb+JvYMralpUFp8zTm2/5+sGIIPvkGfqHMPGDttYTygaHpevipaqaLCbMamjCd6tpDtsYucyeOInSvhmpmI205yVMq1aJSZABg2mkfJ1t++U4MYXS0dyuaqC9OJRNu5ddimWFaY5cxq/iroKnmv96PusjqjXepf4ywKLR4oe5akmgLDJpyoih09lUU8peAkBrtl7FnNMwi2VZrVK9o0tIyBrnps3qNW1XV3X2Xbox0CsF0vQKTsqKJN/aYcYzzOlUoI2f3crJFFr3nOEcVohrzjGZ3nVb3g/MsZhOCaMjc1xoD5f+JnR4rywdpX0UIxJdAbSXo0fzvyLBcj2IysyVjTstL+Sj2cVP3lOvBm83OV6CPQneN5t2nMz17/WbnY4zQguudIeTjGLWQsCwEOYf5sJYy5fMg7LxZIWHWFHSJyd8fzz9fXJf3imWgyzPnuPDtwvrfOp0Wz7odWp5FGTNxbHM4dFWdAudKrht2qQfqdCmpvjzRwl6xzIvjYCG9Nw2k03MNBwcuPuB5bKLJZbXvJAHjJs9rc+GJ2TEe1da+cklPyJs6RyszbwpLuMrjtQLrZwz/Ppb/kvQVNPFkwyXbHcnb3pHSXIKecrFJsmcXkdb0FJMQGgP2GNPESlNcV78zMXckskg6nX0NvT3U0fIBAsp6iZmvyEdkjIEkYoC3vqIrymj1D17A7bbSkHUKhI4OD20bw5a1QoQ/UCg7tV/8MN6F8s59kN9OiCCI2k1PkMTcXVTpDsTglgUQyWb1tpWZ7kE+cQMIzHSVIV8Hf26ew+4HNaYtdanHKTOQ/kuQSdyeM/SXR26h9n/pAOVemLE9qRCRcvd5Y01kZYEQQTKlL+VA1ByBjwrUzeW2nV7fZQPR1sq8vNbFF21y4Rf9Qzh4QEVrDJ0K8hOs/T+c71fzk6kMphqGI9YPfjs/BxQ2BkZwSZB7gq1qL+cAX+MoTFwnCnQVdccCNDZn2tL7CA55Yem9OVYW7xscDE1wsUi+JsnrRbSP6qwrw3woQV48nVk24mLtPI79JlSaKIQwbTBXm6eyVGakNN0H5/YQkvjsO/pOCWoiMuIA1cuZRl6rSBGfVh8q6BfUSrPakscJKrmilEFcsG1O92PBIi52RvMpjiMxfvgL6gxI6tT3foxkm9z36YyqqgDySZnxbhlNcd/02k+yZK+CD2d4yktZ6e087Nzr44nYfbI84O4UFOgMMWOMGAfwLCwAL6iZU9TKvqWd9cypJPO2f8qPoPKsXbNRWZ2pZHY30cr36PBRAUCAfg1fGOHLYPU8TqRoeUVrXw6U2fAhxaunoqTR2R42NQSxiXUdPoqvkEhlJ1UrbZ9ee/dRtEifwJjlRGpjpIJFolGe7J9zV48SOXzYtxd0k0Sbv3zYE9As0Lb8lTD7QCI8KyawiY3di//M98FGvIb6MWmaWoimXFIEYdk7wY39l80Sb+gxP6phSu8MnVQDrej1iJopWbIeeSPyYtvZlVFw/yGifXpwBITNQ7pyqMLgWwTfSZhKuEiFy3MMZOX5tY5a53yqlAUI1iyY1nmJj7kpfyaCBBrQUMYZA1YnURUDT7LA/GEWnHHUPSZqH0F8B6ygr8ISxQVekkQuGqyYxdAbr3nN6Rs1DGBNBLCSkdqZ1ZAlpgVEVdvT0UMCWv0D5gUtH1xypIsXORmhxSN+9GxykOUBbuarBqkrATPa3JaMMpreUmvYKo1HmjM5hfoi/HPQHgjrIa3f49PV0NgYfXaMWRZ75SSbo6zvLbVdpj063gOHpjC5p1L7ILqlTAUNEY/0Yl0tvBWDdwkidHxolfJxS0UPC2QBjSAkVQDOUtmWRkrEi6vvdL9arGBRkk/Kbj1dNN1ekfWYY9x6txnsApJyidGJyAtwVJjw3p4u/+Ao1dy71bWh4r/QNdOC9G308bCOkavZFFTXHN4NKzZHugqSTxitfddkIU/Y8OhzVqfl4tiTrbmrGJdniscfv031dVRN6voWnqelZrM2XQELdE6cW62CqRakGALSbwitOyg+SnEIZSttU1++5yvIjRq9L3tlsNp2WwFA8ymvGSQEKyu0+ahWr1AJW3MHuq2eQlhOltmBbr9sB4y6vQnMRzIFzv9qCNW4VjKU3Xh7L3JiQSC+XNzfkP/egfnVe9sINu6bkt7H9tzSLMzjjVy1Le5wvJ1WBzqTD9OPLYIa2I6AU6ZaqrD6XAi2PfBKnEB9FoNChMNt1h4pZJOVZlYxOHziid7ehP5yWRqLGCwBX9QQkE00+ZASapFM/au66dGnc3C1UzBtrn5lv7O5N6ttLIRIGxKKuuvJmZuOPdICzpiNDZT1J3X261rAuvqR52PzosptYz1eui+XXqbjzudnbmZAo/1kSnRXvejY3Af0S+wdXhsspKJ6eIdwWt7kVRN0oU1nOBt9BUVC5locs+XAOam179oP+pyKRSXGH1tTMX8c9Dn+vrDX/WMelEskmVzb5sa4KQDePOyK2c1sZwAF1e4/wUW3FgSDtvu+73KX8zUa3Mr6bav0Fv0o+v8Gge7GUvxLu0fxCwSb0g6e+94hRKNuzmbdCqdokxJtuynmbc3LSpSpga1vQHlt/uhnfSxtBtIzyuqG3wMaS80R5K+KcYcPD3TDL2F3Bmvi9To3dKgKUgj91J8xlNgyij7UOuqA01lJLWv3iV20KQO2/c1yR91npOsZCA1fe13xenNyh7PKH13wykrhVeo5e3jjz+rrQXrNK3qPg46moxZovzTYyTb5mMg1gc2BnpV9YTF2CUuKtQxlTLFO53Lf9TS3++CBljRvhbzzV2hQg3kI0HKLENcD3Mkig2bfn7AZSclWePrF2OxY4RTXGYINeBZBmeEQKwT9Tcyf+7HSkAgat6nWukfeG58dIYGTRYtA8lcRAmtLxVNInJ0qP/L//3/+RIruOnLH0MpP9UE9T3Ql2zr/HtNWLNGd/kXo/JD0VbUZDmznD1+dCek/6K0t5KrlBcyvmuNp0ZEBk6TVeFVQBSGOzdiIchWjNaCw3IauoX7dz/JVuPzdVgG7Me3FMy6kWxAIuHjubeUZ/d2tZeHO9DDXRaLS1Oqzuzieiu/1QM7dWM/nbmrY/rPJjwFv19hIqEcq27kJAt0tny0ZHerWPGGv+NL9swaI6aVbjvLqRWRUXuhQQq9GzeuXszjylOFRuR6I+MrwJrz2EXlMnxN8CtyTChcEFjzias5WMtohdBDEe4+5jcwfAtEpd2wORuZJ121FN12yspv7WVMI4bnLaZp6bJ57tWCE2ctmj2m/U/feuhCNfvntlItWa2hlM12eVnJGrz+4mzdy7HzIptMXfXTWojTjG9rmWn1Zk2gZZ0c3TLiK96DQF/5wL6kEnpwDcIOyzHZlz5/ev8qgaPojRXy7ibeK80pPblJb1eP/SgY3xvXGDWe58QmJggwDnja91LZGhp/zVjc6YEnUA5eIfeXq+e4L8d/fP41eerF77acUt8mRDVxbTth2DUtKydXrptlAKjdw10qY3pDaKcTpXfph/zJ7q0AMe7RkweXbBVg0Y9w2F2vTSUueEi8z02hQ7yZObnKOL8JIeJgV9I8BrUVbH2nBtbdE9kk2VYkrpDGxX39bK+9X7RvNqpen4za45Flv/E+iRP9bPhANe2YVdpV7eQ8Ujl5RSSubaMorOvu//JQegkmf3lZ7HnxjLpuMfZNXEDpHOxK/W4+/WNtM0mo8x25GeoAgxxoXdZy5aIHWxzsVGacLF9/08XGu9z4zWmkd+Zx3Y3iNj6TstHlFktY+mgXV2X+6Ora+yPlK9vZgD/PBeucffvSKNItYNYBKGw41mN09HhT1z9IeDdOjOZbm+k0zC4vaW2Ho78CmW9qr5kqojTGeL9Kd5GmOFCaAGX8+pMhSYGcUfWv50CcaddFOGJb3BHcD9F3t6bJkN2wGtImra6Josy95SNftib/1Oxc2oAovsebdd2bVwv0+F2/S+IXo7uOGG8n5EAX469UXdyuLPTulhl/bcEDjOZbHpadDRh8efc4dGBx4FiQJEraknTxtPD24Xv0Ss1YhSLRWNVP3alwThDwUX0IT6IhlgfoiGLfbaT/HO5SQV3Oicesq0SW5aSSYsp5tIXr2VanKmE7bwRVlihQbYszexVN2/FA80j/965r9azQ4Vo9OX1dTes20tMkR8HufGFmGYcWH7nacXxjhDBCAuU2yN9mEDrpuDKqosPi11ZdRxPCsJoEilMrndUm+HmUEScT3IqBxu204OaNvvSeHA3h17uWsqXbFeOVHmUVnrQrqex3khuE9vW6jedpnmw48KZVC8SGQ2xh2s34m2g106ooLoAaxmE2m+KIFFh4PMHyaV/VSSqLa385p/WG8fJdEje16dnuHXEG5nR6+ElrdNFinSo9jmVCz6aigXPfyHAG0xArzd9sINjRYzVFhbr7T9qPqqb+SFr5zQr88uTNTpaShHTydrmxqa6wbHdFzPH7k4J2NvRp1X7jkxV5JnWlUTxdF5WqhlSXLPsGuk3FOpGPQBTXrP9853N+fSpZ0eSdXoEZ3C4cS1fkStpzSs8sx7L7rP/OfWywOUUTelonMPlCnlHzp7PFn9sfJ8FehHHRta1YuD0R/+G9OtiQStBzvm6YfTEVAGIqoAWf1UDFhW9moBB30Vly7uTB8mKILaq3yCLr/xaWNvQb+6sSsPSZQcPPkKKLv7Ei+sft4+nLx8O4b+gUD8+HxbZUvq/a0vD7v9rkMAvSEmCa1cV4uQxzRJUaZSrZun11M7JfCyuafTGiba+Xe2O46gtZXnoRPf3/L+J0NrsuuG93PPuahlPZ497sMeHGmePmnanYLFZ7rT9pMx9puqJXWy4EbR/oHtKFrrT7rzPuaxrvfZxpmbUfsyG7croHj91vOS79SRVpoRbjAeOwUMxJTA/sBXt3bppJSqbyCzR8+f6mdVRoFs1cV46bI7lmhGP1B6oCMnRsPozn3nne1t4DMVhCCZSFYksRJc6P300j1tNt2uHPxI1mwnOPQ/T8fRXAWWbChq2my278d/AltIsUqvNeIa94ZdyhkMRCCmzq9hl+fmpvogHt1+jHds/yGPWsFfx76W7//7pOsytRvz2Z62fW43VVFuIMQjM03qHqKJtO9dPvVKrezk+APXiMt+ZlaLFbR0swbwRcjr2OmnykFEEY9XiQ4RWCeCU2mI5DfbWdrn4s8nBFGp7dA+NR/rMif9eSNiFs/zUxOmMZKF3IvsZ0G5+avKV8DY+pe+xjTefKO6pZlies01bqBShREfwd5mGOaxYzvSOvs2Ed3VkKjznjtzpstzP+WLHYPeV3Zpxb3kPhGoqDbHlXSGOl0F181y4zvCe8QEaPeoHRBQjPIBsclVjPjm+Jda/LUZ1otyDzHk3dULLWXqOI+QAnUQjZKGCsPObaOisE53WG0g9i6QHwhcd5Q32+qsTEG2vUnKM0+4+VfbHuWmJ31pgcdvRw9buyUt+0NdDJ3z7sJKKOP5H6pRQbY9yWzHhpZcvSK7NPltJZsA0toRCC7ZMKxd+73wv1B1PddKibTDX5zoZ2n3pWdhtwqUf0eTFuseHY+Sf3pxJ6DHuVI21NInl04fhyL8xYVqrULBdBhv2hNmeZjCeMVkN79xngahBt8cpyudPXQq6r7BCAChlmBZDUwACuX0jx8jqPLL1xyNNVq1pN/UUhrQMjln7cppPJuqjU0xdiv5UEFVSvBh1JagGES0dQcM84jAoKisLcb5S4p9wL1+ji7VhnKxR7AQjrwSeL46O9qh/oy6Gs2oe1Sdmam+sHAt7joNwYUQjuaaaJuA30bm3G96uHGiw8X55FQqwhlyHwvQYjJTLVXbJoW7P2BzEhV719fA67TTAGmcWknrOz6919zxwBNvA0srXwc8ayXaSulVG+Jlih7atqnZXutA/QzSXRecI7x3nn0ZV9xvybGSz8p2upTkePbIykGcaxpRsdF8RVJEycFCFCkv0+DYp1WY6iar0kq1j99nV/eBfaPdd2ALSp71B1Foe2ziKMqP7p/DNpsrW/fo3jgaFfnkAc7u6Bm6+VwxrtgY2s9peEVZVdG+vASTGSQuy+04NEDjMEUCUe+tACU749f9oLvLFV8SDtlN7Jf5RSMGHutEcR25bJzlIMhvO2bbGA4K4987pXpy6VB8Xi1iAZVG30CJuSEmGpTMbqV3/TKCmZpDV3Da/kxlqH8LWnKmpcsoqbW5CMN+SyUaxdWQcTNReUT1h7j1ReFQIuIV4lp+/fjGFnFV18v85msoSgFCspmkd8oNCkr6TKlP+vS7ZhaoSCWVVgjmnoDFjEldhPWMn5pAjzhsy2gcbbw8TfopBP/wJv9UdbMfuCFbkMGtrAfErfgORCHi/Sq6brz5FtO5jH/6qE80ap5Jop0tGTlUcW4h9BGjnBT4gB5c0ffrcCRx9l3pONvavFMYz2fPS1FHt227AGxeGvN8HyNsvMqcHWSM1njl0FRxJs74dMEOSn2dv87f6E1ep0TnmRki+/S+Ompm9e2hjZw1yWdi7aYCz/QD80WeImEXyXXzkOVb6q4C7Gu589fGNn00vZUtzIC6GBPHXMB9RdVsVSyQwtwX34twQtaObzDlMcS2rva+LOJAVbcmRVf11sL4n/phLKcmxTcITXyJ+54F9+TG0osmBDeubm8TyO283DwBuj1V/25fkpG5yWYYEQygUqKHWP2VAqqO6b3EFuZhfBMlZT0M6HUbD98onRHLk+Z4oZTvMzqNYK84NMs1f/CPueR9583Kk8y4M6tpCvztHMAelr6p6NEYw2yi1AMYS/O+hA4Guv26uVS8w5OLlF0N1ZVT76lZq5tpL7YRyQul+OQfouR/R1ptdnEVIMk17qxejtRf2u52Iy4I06FEhTEFd4XNmsFICAhJXZ5KBSAe0mhLrIqK8sejd4vppiOFnA0l9ek+2Ex5W0zurc0uDV65qGL/TMhw0p4hFw1HifamB6xEq1mVDqWk1AWfKx7kTvtmTbtN6IVO3hLEKZzggM+eEAuw5wB1ts0J4rp87bZukaem3KMMb0qsAB5Ta9VVJAGO7EvmwnRF7t4K0bgIm5lvjMje8Cm1/NtyDDYHWMAWA25R9xfFb3eCZpFJo80Dz24ur7xvzcxYnjfy9bRDL/jGMG98V7T+VCxpeKD7GVUuvgmPEXMIpdx87JtbhC7TusboZ6AMXd2dfmxZ3Jmlky/YBJbqX3YTLLoFCtpb+CATz1PJpS5d70E5UDrLVzEix2qd/j/bek5STBo6qpL4LrycxvUB8vGKDOZqgcVn3MExtu0OmqcCpCDVdJAbCC2b2xlabZlSBZbGnd5zh6y11RR4w1YG5aymBVnfHQOFAbonSQrnHWiW2FemCWxT4zX1mBZE8xWWTuvg6dTfW+/w1RI6q/ZGD/Ad71M56pQEwtfVno6NYsR7iDKvpHmKSVeFGwQOSfPHHoRAa9j96/Eqf56GV9GKjpBNWw8Z/9CWx/vyEYoQiulqhE81oBupx7EAJqAyVooFMaoKKazsobl1StfDtBQgKN7audm/RdyjGuiRhlMlmarXbeUYM3wDa53wYrqH+BBIt8SW7VyBQrtV9JhW7Pjof+5cer0IntHboYo8fhg4Hz+W/oskOx9bfgp3Ry/KRt+iiLOlXfj+u1qv6UjBho3IFWYW9YASHFdc88EMkrxouXZckziNkLUsNLR92Yf2HI61Yz+lGgBdmNmvZcCtOzRuD3bGPEOPkNpYQkEbWuoeSct++bSghEJHf/g2mvVpTBVKSYkPwRSCxVi8rUih8bIifOzid0uPzUWyMUkFxkMyumln4y/TXdDrPxKZ6srV8zSXdY9+BAb8RQYyI3hK8x2+ZrJ+c2MKrL90uufN0+v9GoYQw/My0FjviozLTpzBlhTrydbG9EXcPAS0mTrhwkijb9JAo9CU6XaNxHDhmp4ryvRKCWldfEg2e+py9qPVO9dL7woSTbJTyI04MtK5fAizRAjHm6Gesc7vMem2Qis4u4eZe8J6rbzyR/KbgxN1jYnZEi2cyzJD2T/0T/RFXzUSw29X6xtTY6C/p5I4XXMd6lYgcD8FjvERSnKkrtCij/qexN2ATfRr4JZR4iTrZceRDIdGNr8d36DTY+/znoTpr9FBpB1Lfu28cPY497GlZF0nrsfPZqV52wh05aG7dXY+O+rc+1JXri6z/ABucIsu5MIUdWC2m/vukF6BcUzmVzqE474cPaBx3DtcXPWD72evltsNJEav/yF8wiP9T7CT5vG83iFYYqqenuH8Q3dJWCt1JlXv6qGdR1We95h3w9NA61wpYwqvUJjv2H1IZX7fEUN/Mdbo+NcltwqSsf34UN771iEW1KN+QZetOWQLTneqT3NMBxdm82SLloUNUuTVo38ovT6uuqarsRaUHBY7l0DzfGcLJrTgo88dC9fsGzJpzMimxlG7BISjkLSYZ6Poce58tN3XAAnF5ePnWG2Zs67NsGqw9GiWUv8Tb3sQWeGngRy+EodBp+uzlHw6hJvG2j7nXNkecAFz6lmkQIIC9lYT6GiEYGJ+3bqhbqEq7JTfhqvtWKIhVvP+YPhNxzrmOP+W2tU4QeaogZLTpEuCqMeA8gD1ULKZSVDivlEbcV2ctG9VqJ/GaPub3P0pRiR58ru/I5avkutXaz/tytChSxpqEBdDcwc5vDK3YJk/9JweaUp5grlXzmWSo9W5lG/1vnSISTWer7WrWJ6TKuk3NZBrY3IJJBUkUz2RWEc4XlIXWOqfZ5vG5E0HMn6Os7K/rtsJeZJrWU40tEf63V2bhoOeNbZdBzBzqtvY+b4jj5jKRvPdnxBxGDMjrlulpVUlUeSpcxY6pjrRQR8tA4SE6NGeUjfdgh5CaD7s59zUoMbatoWDOieZ5RJK/4mjzuWpLP9N1amX4BwEDz+GXF9PFOiC4YKpUU7VqVNMp5xiTVGjpmM1WCRW5lnb796m2i9qpj7yRjc8QnW4UYxx39CjtzpATxQnifOOaOt6ICoyGDC4s9RdyEGgtyTtq8NY2LIG0txJs9XVsMr0vrk1wxKLVp0KZdO4M58xHzdL2z02I9eDgaizx+cKbwfZFG1K+imWz8eAtJ8vE9Qx8sMNHWR0684dtbGn6K91LJ9BHBwZ66l17PbfZWTvJuNzC1D8M5ebH82vOe2j4pnDjZ8WXb1CBQUc3lGtLmoubeGHhor7LsU13da5d8w5jteK3m4PvsHEeXP4GYyPWP5HieoCoRew56ihLdIzeTmODZUqKEvzJ8zQvjrSOZ6a9orcKECccyJ3hoCkOqINp26s1ypVknuBBMmX3WN7xWiqzdle2+rZwU3lMCfyLa0EWeeRgFwHm/s/kIbrKq7OaP2V5XmoAzMUsm/uboQK5n5LeC42Vo7tQ9pEeqa15hLJEG1a+jTxvJS6ABbZ4b17Ge5TW3Mz6wDc3NSJqzOXmrh5/pPCKzyRpuhjuyJks2sL0Wo0Ydc98D/RdNjyDTEyt3j3rp8J+s+KjqNXdgdJ9POnvw/fZx1KOnE7vAUZjzq+LFYTCi2q8+E0qUzbtv4eRDlQ5O6x9wxIjHzsKqZHUkemyrpfK3qbwRH27VcnBMn9FBEXwn1YO8pj7CPutJ1IWde+iJGKYvOUcc6MjUBSGwWRwLewOS191XaFQRdfCVKNyERaPWlMVv6UB7t4r2W7O0uFi6qiCYJodRmUT6qp9n+8qb9eC9XHCF46sdHEYJYM8ru+leJ/9nj0Cea3/zVpT9rM6QJHshpOpoIIYcR7E08U2d7NatsEIl0d4cd//KsJ+fZw05uczi7ob3PK3gqmLQg096Ywu39Mg6G60Zihzbi+F46kZVJWDqnpZoxdb4cOaGV6o5xa0lNSRmdQxzE3Ncys2WwvJsociq3ccIMzpp1vxKxzsbBFm3XPkEB9iy3Ac0kzGJlfUfwSH3Xv0CN8Mw9uXTPj6C34Qamyk4rkqKHkRs/z6WUe2iuB02g2u3sqmtW2pKS67Ij63SHC7w3vJvcp2Svc4Mn3iqxWTEBUjjx5U1mqYoI9NHTW9QTGtmb9lE8ssGkeIWaykvVBfI0mGMdoRQbn9L64nXhf997p3Hd7wlDFPLwIDk5TZNIZUKVv/Es6hqbGQR7JVQhS+VxuIjr2Opb2bec1PRXc4dhBOzAEJRmGr6XyhP1g1giXuER2r+2lATd6HcV7QsTIR1WXMhhqdBY6exiEqJ/iSOnEUN73VYfxdS5JNPNIf7KLmlU0vmb+SnVZezuK1rb89A5JhiNJJ0ckiDyLrUpBOENa24oJTT6+tpFLcOm/3A2kSYdmd9eKNc579STKKc4guOqT/bqW3G303VWyyV9vHuBxYlEsuAmJcWdTU9jReit7aQsoLed5bG1Qkk640xRc0wvafvnEedHZZF3RKWqrTbMsbEFnRlKpXB0gbUb3E/ei1ooCvR3B6EZ3h5zmaelkLkHNyboUkwbzR35ymI+xJ/eZhO1dwzB4n/IIFnrhtSsuy4B1IDUV1TEbi7zBxa/Ma7UYfDAtfeWqSqfzQ912W/jTYXVRmvVMDQ35BDmGXBERFWmnwUFVgw9o9dypkVwwZ+I98wV7d1h59kQNNui1zcuZse/yndENtUYBeibOXlO+vqFQgACuc6/Jkc9cdHWsBAjix0UlmJj0+hP/7gIsoUkGD5gr38t+oFw+QUwGgr/XVkuexp7bOSJXs77HN1Pp8tL209adhxyrNlwWj1/mTVR15kfg+/4sA176v7LvtpCUB1eGgLvFpmS1XE2j0v29m2hH7p01TlkiXFZeCrgHdPleedr4aXu99nL/A0Owy5ndn+5gNn5dzIpNH+OwYUdoKYxxtZz9/6h6wyVLtt02E2CWJsIeK+zx+7+pKon58YFZLVlxfXRPd9XemWuRIAiCPRB18vnjITiSQ8dLOR3FEZdkJZdGlfVWsS5EaT2pUs62vAp7cEKreTzV8hCs9ZpnVc94yzVj4u/wzWgnzDYzUPsRKAB0Iz1hieK9Zh4FIqhsUV8s6jFkUO9qNwvCWGf3FTaay2t9LD7xceWxtXurwMH+xMIuuVJ9soDOU83ESps/qxBFFGD0V2fKyArpe5uMYfLrCukzrXG/SznLKdBu655uWWkYj2pSAy+rNFjR0oKgk4jQ7hWBsWjzqp4tmki/xF5YrP1Ljtssoam0W84fmdzb16us7V9dkzvctp7ughIG65RI85F+de+hK+yS8qB7JYve2dtO6WqnR7zTaAXmN4Vau6NPmVe6XyorUPTdRzE5WYsfl+CHN1KVCbV9qH58TGsKKQTXZSJliixIydMTniyOXoCwvdIyyaMGGBwCUc/EVkg9vXHqrBvwGuBn57bb/z2Gmrfkqif/CelcaJ9krl9mCOa9/k/fSGldQNJK2PUrtEkB+XiZ0/Bqb2RXH5eUTwRGDKS0TaEjs7CgJT/wQfL4sf3AIewXtalF2OgOZVdUPzMb2qAzRKM+skscn3SC5I0ySF/xpCKcm19SrGzFHNNXc7W2DxqCQnbo4dxtaDMZS6rpl23JzEf7qpTvaGmvRzjVSnBA06Er0kZ7j6tvPrK9R26KO8JglcXvVauTCHYLOeZoFOengbIhg9eVAyNdbclU4BKlaLvI0s6+dR2IfvwH7YNpitjjLLNymee17b9Il4TbXOtuTYijXWFrGKLBEhmKDwPNIj/lS+xvfnd6Z9WhIE3efSW7TgCN5/2Y0XtK+TxqzzwfHqcX8V3BIo17MrQzm+R7odLhv4KXFmVXHx9lsnJqunm00yrjmt5vKt7IRn+aR2NA8FQ/15UnapfMF0lTfkCQlRzc8A4Ur8ZTMMTfprV3JIs+gNFQWV1jAWvpRXfNHKU5/2qPaGuKamuHz7jX2Oj0BXEM047362w9YBeLGijRTXGPY+sR6hiJqrmTIofLx0vXU/0OR6BOkJ98v2gdLSbgwpemKHRLVICSZOr1o5K4JdY3NUPaIrRW/nsnBTFag4F9OHU32u1oPjnhYvU1Fjej/PC+9l3aM4k+Vkqa7D65Wg0vRzcNWvhtGUFPJxvMahvq8htqkYyFS7Ez+OhTgPMLwh4pPr79esxst1Z5FM4iqmlp7Wc695h2nV+oKCBoE7HkzOpDNfthiJcap9PZ6kgDGyTu/jkbth+1GoP+zdjzwEOp9pDD8AeFh/uVLhOu6RPOuYX23M+ZZJTUgt1i8ODlZKxEPYfVQJzd2hqDVsRXvu7PVhZ43+uV33Y8KDs0Ty9UnmmmKZyB15GUt8VIicwk/7W71ZRtweb1S+7bXJ4Mva5IiFsjOU8rxuPY6QmJejrXvrazQ58R2HGj8zBpralKddoiL3amFXyoUfzekFP7WtZ2tTwIr4kMFdYWBnNPyl23D1pHyGKhesOe+wJ1UnlFHqBfTv3v/sqO8hufv9omO4Pv9uGDHMyDxlOGWk2uzuYK1ANdJdphsKdDDM552OpD3oyKlFAQe8v5qyk26vhm6W1Pai7THsP4WrXc2G4JlvN6f0GhSHV9/q5c780Liuj+mbJb3dayom87lthi0fcWacbMrPExjQomuXqmJwxdQMn6Im/8wSSfAcrT59FYnBO96sJOoQR1ziVkQZuaU7bOV5019XU8kB/TNq1xVbtuKajurNX6KVouF2gqfrmwbxMeeUOXcsbTkO1I7zFyyyx4FEDfDskYEabcMUmsSPptMlcpEV/26tyLPC0JdWJ7NXm2qtzsJ07h7HwFTIv41CpNn3aA2upjIvhFIOqK5WJuwBFK9FuGauTV956qe+qN4+0OXyFXqDl05dMqdqfbKygIOy1Ypj9Omc+9cr7lSBsLfFN1ckitgvTqY2qlFO1R5zDe13U/pywtK8evHegKCB7VvHX8nWqS3xtJb0zDsiKShPahkKr1R+RrsMHGkeAoFOJnfnjdnsdzlAnf7oVrCvPmaWThUrZ00HmSPVwDjvU73NO9iKHPUKzDYaAXmoz8oUjR6/c7e3zb/X5AtqZooGNomObphrI8c0VuuvsiFU0BL6btmYpn6fy2Sr5vd44F/E70AnwBRtHs1qz7sRoqBOULU1FdEZtp53/bQ1We8z+s8krf5Y/s2XKHLPZRjlI6Efvb+iC9kwUZgEH2QDY2uN3znq+/KYu8M8/F/94yvtMVWG+sroTEpqDfsDEUaMo1x3Ui0bmewHot5cIUOBU5rf1SkDbaTuS8W5uZFviPA+/0RXh07l8Qoi9nXqEuULsVZyhnn5FUzyV1QkvzzYBzCSvq7SsDlP/VBOWVdOSmO6HK+f69meOPaD8PCzd8QHRV7fQJHMsq9FSqPI1K7aivVSkRSkbuszijDy7A3SThs66RfxPJr7CoyPTtHnNG4Iuyy5RkQELqZLcOIF3c37P12Dd4Pa9ufSXRCypjW+B3GNISdYBrXV2EwojClKCAVUsbOoi5/ggxnpRXrzAEP27/gGtDQXVXVHldJka2qAXB5t7ydha7j63BiMVTG+9Dq4cDXhjh8ejhdZG9SD7zfVBSGs1KmpL62Blp3hZqOQ4C6SvtqQn/ZYxhpqVopiYgf8cbuc0xN42SDWT00gjtZsa+a4fmlzwz4/V7z0HXgWeYb95mBP/w1TdixDDkONcVPMm+JM5ygBBRRbgDefDzNIH46/O3dVAsZyWDPmcDa0+HhXjzkqH+ll6dJoT/2WHgytFL3bc5JxldWVECqgAN0UQ3nkM2iGPLq1NOwnYwn+CPx+ETKkzYGG3eKa3LKY5qaS9Ub676jpqlu/i4dES+5+G9/r7U6mygdOzf1b6c0Gdz63yYX0+Yc6B10EB8suJpIMvxIkTqLdnScBJnn8EjclW0wF+CvBc9AP6op1Nv6v4Rqegzz3RkoPIxiiFFNjv5Dm2P8uyKrQfCwO1Jnl6Nz2gmKoR50gEX+8MGlvdpgPwECcldPG7D7r/X8SLdHZqrNSV1+E8T/+f/+X81fx4HGgq3+Xw9k1riU30eTfY9rRg1AtqvV6Hj0e0SG/tpn4oz/N1ft/JlROfx33dy/27ZhUB1CjpnjlvlNhFCSIOTE17UJzhHrJfJ3YNTbYvfoyst+kDGVsCur9gthqz09B77Vj4pktxekVRlQxTnuQF1XW0vdgds9FiLxW74HvdZ//ItbM7DjEaBHJiv3P0K97qM8NcvkHpLJrd2P8uQj5B9JY9mJ9Yor/g8aSKleP0zp81m5R/PNuVEUy6C3R+q3fQBjSY6yZ+vbo8e+GjKjtgtPIqPraOkvku8WN7otOMS5FD5xLm3nIl+r4G0G5rRfQ8FRypR82ZRQhR0XvtFktlS0RRA0KbvNVRHbvHg7jngRJAAchMC27PZAP/wC3rcr3saB8HilBh2SY0hDeBB7fdE3Lyck73L+PRr39hhtWaYFTnSRsR46ZAbp8pfjdDIaGvDLf+rwsfJzh21DyvUOFYfMK0q2wVQM1UzzJTQAlRR+ZWB3Q5dvTdDQan0cGZRgVQtqYK37/1xytR/1zzJlzWGTc68emcmrzWVzaWW3sFzO20U7zVJ6ezM7mt1+LiVku/z91un2OabPG4IYZlR72oP3FhvQbo9i7SAgsSdZvfFuyb7Vu+aFW7itu3f6AFyzPg3NxB+l0g9S1RvdZ9q/E9oFCUF05E0S5UG7m/ehrmbb6RieBB3F1oqtd7t1nj39uT1PATX7HI2DnBPnaj/SvJ2sGDsSwbYIQP2b1k3sLW3V2hX1s64lEXynEgkrnn548QPHgodSsu/z3kpkuQrLzT12+VcDSAtK2X9YNOXZ5rNwc5hvuIH/GM9DsfX5mgxNbWS/EywuwToOj83vJnF7XaOWWHyfX53H716+JzdmwM/wucXTb2iH7/x4/1tVo4BFxTvl5gaA69gqca27+NK2xvKNitrSljwsxKPZ91RaJ95ZvNgpJtrx4wtubHwYgQ5mcdZEuQxDF6/hH/EESs9IGus8acfSE9ScRIsCkEBFp6cpVc7Nen47od9enFWMTSd80iQLE56diAsdt95Hkd6PtUtIr7wU0cWGlVO6i1g8st+9/RS8IYen4uQtcYTvJ3dJjHOQz/wyzlpOiieUY0Gff1xt1DOV9KWxvgaX81v91nTZ9SAyq12yVlqWE53JxXOFdAOYTrNaH3BtA41dBv20uiXn8iAlr4uHCzRMQWIsVhSM/Pokf3sOE/k8TNATacefIpWbZ1uu2WlFFHhmofnRz53mY54vuVJpLVnxcbs9mQztVbm2fkTY7/lJVv6Uf/cOQ5XY6vt9M0fENASy6xXP0fTyM5nJtXiZFLiIUylOQRml29cnrDOK6cFpPSKdTcH9T9HCzJd+uc7Uolwf8VcS/96WZbbLJwsNki4+FWSl6U3BkjZqIP9HVCY0oVb+YdSOmhX3lWFUyT3KVggGHVU+8qcm+KgwbHS7oO7QPucaNNQIpYLbibb9eG8BQlAuraS6GVfq4fgcUsGH5cOehk++zemG6dyvOKie2+HhkrUlHHIUxhjqcuYBlpBfXnFg0DirtRy3R7IxLAF7V7IrsH6LkBPX1EwV8/6OhSrcW+zpTymZ3BdKDzXfKSrO0jvdcE+ScVmZgrZWmesAS/2k2tS9JSzGRDGAmevvTysI3NfXrlbx8ZY20Fyd1ywyqhSg4TZ/ulXN6yl6zvxvI/V5a0mSt7koXgT0mmiBh7gbp+UcquF6DaClmHiXu+qfuLup6kiWmqFI4shNekTBr4DOLCSVKgm7+rVYE5YZFNsNsf+QU6uEAJ0JrJE8Cutdma/fgVH+rRkR/8o0i8zE2+aEtRphIp0ywu0wMyJsXQ3adynEM/fL9NJUsWHfHIonIf24G5O5o7k59n5fleDk6/ZmCsMW4ts/O1r9ssjaY1BYLsj2Nes1ERM5QqhnN4S0ngf0Xp6R0le9RKQ6lpcRutlIOYA5kdWnrxTYo5xz9pfkXcmcJBHVRSNjJWzHNstl2kNoexmFSCf+ugjLUarx89YNjsqqWOUkV/yerLTmz4Pwt6DPtNnnY9i8FCnuwo7ilW9+hiKQtlW7sd2r6r9+F7cFlHkACz/95zn0+XeaDczjCf2rGuimZljhm74oridpxh1JtRu3EZ9EX0N0ZBoCvmMcl8wqrHnvaLJYF2mCRmm7BDydxrPQJYPDy1UBN8Q5Y5ncntpAD2tMa+trOh9LeBmXiUM9O+LTPr8stDAyHqB4lmtvT9nplhjIBLXjeMmid5OCRCvvCfGUC80HFNg0JhVrMzKK5+0rwxAV1cSeTnYfDps8co39G64Q6ZNnxnrp0iSU7RWjG1URx4u/7mgKDqL2b+souj2EsR6HirjjqjH+rGExokLsnLs9fNASm+lsNccWulcaghuuG/K9jNqTVuHByoRKQArA1So5svzHus/HeL3Y0V/Ky0nyCQf5FqqVNEdAzkqRD4nnKvDrpq2g+uX/nadyJPBGwCQ2ZvBO489q4KM9g1a7o+df8t5cYmaDWfUBlPkG2sv0riSq+AunR/llZE15Z0NZ1nOvuSmJCwzJjrslBBXkKV8j7Pvg7FF3f9cCtmLV0b7n+RXymTffffdX1zFZjV/WkJ3ZmtwyBrBKKGFYOqqb6Fk3KQdVomgOfLGlZdSizAPRY16THx1U/R19sGrwH3bSWk2fw2kWJ4O3/cwCLgoR/5R7Iq/T8IBg+vrEPbStFcsLYj73PZZJibr5k84t5sguJhGMywzEnnPtw3XUPRRe54cqy4hnnZiIlLavpRyb+r0CRg3nAWdAIAFcfkEIxQous4cEKeQH2CjHRQk756B7tuimlrFaGZ8M1serx5r5i036QFSIiq037xBonbDIiRwIWty+sxrZ0fFMTes+lXNBZwRInOoQb/XnuCUlvO82YkKCHjqexiHQ+qE3k2TeSOPlUU8XTqlvO+roJdiHaE/HLzRaJCJZmkg1FAAx6/9AJu/+Mr/XEl7n8lfBUisLenJM5v2+7gR9eAUn3ha378XWBxbi9NC8t7Zi/s7TIHCB4Lcq+DF+SaT7yleWSLnNQrTygGUhpB24PYONkFGV/JQ635QzAoVi1tVU6RWBtnLlb6rox+o7BwfECv+TfmS55hhpb/xr/ax8XVbefUaH/F+KF6EowfuB/07tYQANs6JqZHvRxVczFUdnL40zrz89d1axSj7cLkqPJZfPZ4sGgS9pDPd8B+jYFAXDRm5xFAwekH0IFnVpwhxDsyfecVVs32l/aFnIRRxvoCTYVWz7Mybeu9lOr7BSdgkj7y/xOa3hycrZJuX0jX67bNhfQ5g7uVm7sp5OsoqGf7cY+chibV/EWxp5L/VgvyG1fFpHuuhkD48W5H/PYX79PQ9IFL/Sh6yZ1btQchFGmcSaHpmck3TUyaL5jyUVks5NiBdBU23Tvpq10LJDeu4oXWgpNzcd4pX+uccoTie0jCHn3WgCJibevVE3cTXrHQ0j5TOr7GeUxlvyG4fOepzfAx9sel2MpftGp2PQhz7+SjebZ2Ub9yC19QxqEaRXFdKB+dfBD9MMdEVaYB+MQ3Xb280t32LiINCbQBDVDa11qrzIZvqGhWsdx6tpnC3QoNNoQ8F0wGw3ji9yKJpZ6hd0eKYz82vHqDqF3mNEPqh1hKbTBU5Lx53ihcPB828Q+j8p57raoONWyUAIS17vOTNbMVu005djcygdE9xzSG/OoiUOoNz9FwJMJ3UJs93KGCpWKMor/MqO+Qy0UibXGghUAdq7h7+XVjJeOskTIu0PJ6bmeC8ylhQ9By22NMnOVPoFmae6WAZbZ1knqfDiRVcmYJ3Dz1esr0HoOgFJtC3K/FvmEQIZDFtoONZPMobdOdOCXSSYk9Lt4STjriJRRU9sgRo/52uUS/PUEbpmnwk2JeQng+v26pISShJX3vzBG4OSuQHERSVYi4XnwAmpcOrlPps4lonwHo0Kbpx5ysu6QJJlVSFVVqr/3p3wYzyOM9WPbb6hwTDdmT8EHeh7nKlRg7v7dUKPFwaChvtzmn+yF7SDdBA/65e9E5bVZZbHbuunfcRHjdCs4xrE+Gy0yEq+PPeNiWQOoNsbKrq8dEuNR0hkHLmny11Wej4bDNc7TZgSxlZi9/WhS8xeHa3Rl8n6bNUH3Tz8bbR+k1m/CYZt6zjYFnd0NACpACtZ/uE7KS4RL/FUFVVy15tHiVvm6t/HckMbHakmXK5qRywxmqZc/Hi0ObxMwOl+41fRpo5YQPTqq2ZDPO/kU9cufoL+RnfdhGScuOEfYOA/iNixAo35px0mnRKz0HthyiEgmKpcmYs+3nUXqaava8LUxHxnzjG1xHQyF0OhYeHWv+30EYITSFqdyYl0tdNyrXb3WWhTV9pvICqaoS4gUT+XrF4e4D+ihdn9NzV1Yy261TahSm9xXHjn6dqwXMBhCAhkpcEVu13+JPTPVXTeptyq3THC0Lm0uig/XJSovJ2QJxplFOxmw4CFwseIzKdsvENLrpLl/gtaDbKpZNl/D0+/7j0Qxti08xQRxqvtCTVE6/wC44Swi/9SOwRE9JSB+UgvWF8212lN3BU3zZEuw/wp1g3r/ZNhHqy0b1NnGj89EGWgW82cU5azrfndsJFdOaPUMiTW8+YgcybSESsh4DH8A2phcK40XEO3xEmS6DMY+WRC5h14Cn6QKLGpaE8Nf6dp0bxLMpp//XyfR/XtKz/+O559TKx5ZxRco8fmredfEOZACFbVZjlmSMi02qhXJOd7cIeJF+I3fTNIR8SrMSmQJj9NniZ0fHFu87PQLEILsNSR+Hu+wjUR/zzp7SRpMfbFnM7pvxhFCTTwUNoZHiv94ZvcoyaiCiUCdQJVZoRSZ4icofb8DZPtvufFr1W8Cado7LSOontZwBdXYa2b77Mx43TAbpBo6RC7n1kdgtsKQLn+XthEt1vnOv86OHyNV1hE/IMAcKqzKGVnebnSHRySNnfi5CZy8BXU837docdYc+mWpy4ERO+hBmly/rwT9q8/ordbTOQ6BTacOWCO1SwVuanj9JWPcaLgUFBByg6cTwOhYS/zJ4Fq1Oa7TUWXX/LJKNnWmjNCUmuSESJka3HkP5594WF1bb443UoduWf2saIwOYUCEMDjk+lQbuUF/GPKoljD5vvjon13EOhOiK7UxBEjma8VffR+P5IdEv7aJEYt2loZXyD0+8AwedamPgByEXQQ1Dgx3WZkiqYRsRHT69hvChvTFVAU+faCjqAGfNN7qC47dl/l63SR+b+7D9qkfYyJ28L5dZ+KgTj2EyTbzzzWI/zo7p9F9YI8kaWNzSDW4egxK3SnyPfSuZTZf3ll+Y9Ht57hW7UEPOAXo1/1szvMWSM8WLdaHo4Em/wymy3g6bYaMm8rNcpPfkvO2h7sGaJlvZuO0XrCo4KIT1sKy+1SwsuV9a3/G0d8IEGV2VCu0H+M4Ej9A/0avl/OGxJjp5ps4v/UUvD4jwAVOntpxNYbpqJ9uhNbn4SPZx6ZGTa4VN+vz3rvQiRaKsFfAFG7/55ln8Fry8VuoCoLcQSy/DCKg6eGpmpYDl6tVjMfDR11BbaED86nRaffLU9rBLkYz2YpzWieTF1oTLmJWGl8eo6vQckikS/EPUpyKTgRaX0unFY86EjpVubYy0c7dyR7u4h8elbt1tmsZ/hKfYLWleeujEb+Yd0WMX7ouWiciYsH2eRniLKHW+2htkLOM5cVBu9363tl0/rDFnD2kJAfmvHwvWukjHN3kjFyLB0SPiY3qWmVymcdjGJ5R9xiR94aTm+q/9oEWm7NzWW/EzYgiQIqvcabSCuIZBuUBYQPVpVrOl7jn51bPUQT9fZdolSWqZqrnEFq9yg3iV1OeqAZrcVzRTaWYqevwyRcpXgNwQI89VxvTv7OM9aee94FYVHMV9sP0Lmq06boKuVnbQovO6aRnrAlZBcP5O08bmUVOaCwHIoguv+RpwLWmgi+t8Bsmi/zlHqZNQp6L2b2yCso0oR0bUocHhv2HeY54hANoN1o+LrVkKxZsvsTu7mGxiqvfiqKwnic1axzLQ366sBJ6g81dn+fNjSeBjxYdSqeWPdZL1KYSSxZ42Vd5tkKRzaqKxm9MQ+/znzMEM0u8ZOdUdt858kQjTkpc55f3Uh6VmW95U0fjesqr/4blIVybnPjzbA1ye4m0/2GSEIz6F6t7kQt3VdyZI82lb2xffFib3xQ86qd53lWqg8xWaF8W5l5Aa2Pm2s59421YXMY01Y+khvIsbNMq368nKn2D50RydvS4l/m1A4nwUKCJW+yoVqQJ5H9NG39Zj7hnkRQ0LpAD1Bj+y5eop0dFGbkBJXzbCZLks8SKxY3h5JgIuvc04A++FH3jxttIw4pMRmErHCSM9fQTWR3i1R05pSS8on3oO421AxM0LSp5vxiccmr76Ts/o70njB9XT3xpZXor34HKyTGroRCoAAaTAMuB85zHfIZ8E4ex/X9kCpKhiND+TZ1YPmruxqp0j6S/AXn63jxhyFndbR25ItkR6l0B3S242Dit7I22U1UrwIh1wJ0Ruy1TXre/eiOU8d5qcaL2j8tnD80AQ5NC3bSdr3FT1Jp2TVx7SuWUtiearX1b3+9TDCaqh84D2DE9bcB/EhIJg3uULptDffmu7FJhv/pLYKGLXhRiXzLlw4D4XH7E58KS3wcvLSHjKqjY8ZozqfD2QdvSjTt1Dtu97FdmS2Jo+2tU/Z/OuKplOb3NzdaSVZ8QzcKX8oN3Y0eTyA/I4X2qPR6nYR0pWMnlIPgPlBtJWjXMdLe5sCeMpzKTKmVNdA5v9pdJPVT9lYAiqF2O6eyEvb/Ps0Tro5iRyXgsLt6TzeNOXmsq7RzA0iexTUP/KrI+xJWejqN8ns5XvQNVHNFLLaXXWedb1qL3ALXD9kUJWC0Kb/RcqqUeTFSpB5NeSN5GyvpZeLAojeywHqnJD8G+apoDlSaY3fVM1FbGVyk8qFa0FC3hr/tv5sKoFz1n1PcTr3UFisSbfn9itZbk4m9jQlhui3ulfIz358ZR31EqluQgL2GXJE8vOMTxjUGlRbEfYU+bd1RdV6CBlviteHx7sXgbfy2+zQyp6d9RrnMS0Y9xGi4nB1In0TucqS6aziFoue8Vm5oI2WeKp81F8dV8n3S+zHadQBPz5c4sRxUzwvKMa/6boS9pOqO1J3l95osacIKOcoj3a3+ZC7UjsJHzSXxFID+4mYepl0BrLXbL7icRoBdE366dk/j4ZU9NN/aCwvbul/f5faRp3UlEG0BjrzQEP/vAJ13Rq0k4l9qxzyYqORCkCprVbdCmFEZN4e1c5RMkWFjRivWEsM6nMuuOb9Co7HHoZxLJbZAF8K7J5G+fDAq5OG2+tD+OPp+i7bUuefUMlmKu3qtUms7AM9eJRWJLFZvQ+Nw7XjrvcovdyfkI/SjKlrdXAJ3hIkfQw+h2bKr0kze3gpkp/UUYzfKUnPtlkK5tKu3tJT3cUbndJGCV6KhY3tT21PfSfC4knfce23ynk0hk1fWorncqJa03AoBLHsOG+8yauayEUtRHLxivTXB6ubO3MJ015gMnmaTaHkaUsPpF2qH8l9VNT8JPiUK1XNpg5QTsGIbzBBdO5Ml+94R0KHWxLqN6Sc7puQ/OpkKSm2IUqoMp69EqJYZ560fthaVTgyC4fCHntJeO6BoancMWm4CunrcHlrs5adR2Uf942s/0iapj4aSltPiDskWe/NDz4NJl4GAkSomGl13aJbjvzQ6O6PnQaRAzUW88cM0dQytZ0f2veui5pM7Y6pbrP403innMFcq2/Kgilq8/5GrZ/rvMW5Q9X7Xf97w+9BFH/sxJCHmw54dQeYDPvSBMH76/CaF2Iw3rdxFV7NP/InnvvMEsfRTJsVN3SyB4F8/0mzGq7cMr5AHFLl9n3B3o5YBUS1n01nM4jkc6TaSPSSs9+xzb00JH9wqCXx2XUW0/JhwlQFiQHkMBObFKKNh9YCXGHaLpEB+PwfaVgF25gK9Z7bNTcsMfoOgOe61UE80g+7AhopnromEs37tf20ZRfBffC46gZQPrklR95m+nj6KYnBW0NXuOObduTwNynzSir/auFX9jbv1Troz46qtB3GZqmZGkUX/W+SekTxt7dw4kVtZWfOHbfmdB15k57xzDT6yM8UOD2W8a6sza+wOIqt50bum8+0QaNxko5LlHHj/l/fu2ii1M601FEJSz5Vh/hqhYMvV8cFnNmW6miyPYvnMBKmSGw3uEfASzgRdFaLIcyvCz12vfzlNUSjXu829eybvDUIgaXvXvm8LuvPmMlrzatSxCE4V1K4sIyIXLR6eoXVytejx3WkptqxN7UBIkqkoCB1fP8LQzIXA7FeTwaDifx2XtRxOY+y8lKP0Otw36NFUV+15FW3wV8iyS5sIJzO2+n/8orRsMib8PBAWQvFmdpx0Ad6elmRdfeOjxBFpGoMvsFKN8ySi+CnDX2jA+L//Bytb+GkGPuKPVnIjxCtssV4Kw9VmIorKD8kPzkEpHwyg1BgfyDSX1w9UaWG5RxF0laLqperCVXN/4n+nWzdeuwPK9gXC5PvGJP6LpvNu6+eSlKoOJy3lHWJoWHgrjkpSu1ifOQfY7io+UfTuWr4Fqq+UU5e8r6prC0bzaR7UZGZy1oP8ttHMhsbWyNREGU/LDDa9/YRd55sbfuRo03Wz0XLvpq37wBIDK+iErJznh0qmmKqmZ4nW+LbrXFh3tDV2Ox7bfXP5PkYrgwRqJhHuj03PbDS+o1Gz7VFNk/T/1FD6tI1qtEgIv8gsi0/e0RYtnX8u99FUbnQulJzGEOXmNluIdWb+bRADQEoGQhru+p2KQLyarSdQYVwG01ijA6NxBcI8XqPWuABh+ikDu21iPxQ/hbUN5tcGS3pkBWYRWfN42tTx7Jf5gdHngdm/6NU7zwsvmrNYnDaxJaHS9xqi7SjoSIehra4746mA2OHSkuNoO23nYVt8PNQQJ/m4gIfX+U4a/1TeSOxzOFPsJCl+Uy/Z+7P00LoN/bTRbIVb7Q8sKLptCHAZEb2bGV1QM/WiBeGt8HaG8w/RRJukdHhjdm6pd2oxWRGE2y7qRRvCmT8o3Qt8N53rq0gxUCLFxJmoQ912EcQxpmX8jA3cXhrbSzN6yHlT6qmBh+yjSrWn97+GVUfawQoD7MThe30a8o5SwSWt2SUo2e8NWrpnO4tTMzd9/hWwbOQ4Mj56XQynMPFfn/89/mFBe0iMI+yk27AKJ48EBPZWLPZlwxVOF7rkKgk83GlNPIitwtUesD+/ZivdNeE4o40f5SQpMibX1CRTmikLrsGeLkpjknMs9BqQyaJdh5yBtfMMlah3BThdQ8g42iRHGvj6psvCVuNG2OTt1oBa2beZFJd+1v2ErqltFv+8WaQkjZhouyrDhwqj68T1Hz8X4wXXNlGDyY3GAkEfyvjclKNVnlZzsbeLFW0b3F9w7zWeTe76w2RlhocEg/1Cr8QRQv2u26BSRoAO+2lu0hvC4r+F2F73qPq5HSksi/kWaF89nY8DH+rq4CjvNDC7AVyflOy8M2lirIA8WwRrSkjvu47Tx7CjeeAZU360I5ETGknPqy/ZxA/7kDgvRO+MeYUMqyvJCh/dkHwFnItL2+MfwQDOht5b2Yzc/dzb3ivUyvwsEL8QM+gNBKun+1T5ea5dXeRzk7+SyuM8jZ6N5udzku4SbJEPAvg6j+xCf7nJUClZJfiZNs1SbIUn5u/eKIW3/880Vg1AyzndJ8VvpC/w5V6u+e+MhpV8y5oiSsXGoQ6oN7tJVsPOKrTnZpsqZU7Wb/MdReLvI32HNcJedPpAsE0lOzxB9Fmbyzs7a4sBYIuPuCVHin6FqM3ZTHKTfjUQfyhEYX23MUi61JV0SwuT2DKJ1xczlg2rammj7K0de6v9MKNmSpKxFKIGxlr77k5vPkZ1tYtkfH+I/Ye10r93j9wuaVTPutdypRmXiorxGcUOZSLp8282LRS2RamE7rMt0sSKxqofAIaSZpqsH1C254nP5RzGJEXcrCch+8ai30ZY6sqDYpw6VScj0d65mG6At5ri60ZrSr8sYy5/r6eeXzrHn3xUOgnQ7TncYwrI4EuQyCi7H3c6MkEf4tsN7Q91k36hrNUxVbIml8c6OjdEEXyyTYfZoEIV8FAssAg8vr4ou/o6EAakk35Pp3yeUSVBNmEiS1BlBxohXJw9FAZq3169b1YY9ytrdnU+oGDeDr5UJ2ymuXW9TS0yNM0w6E9E+/V+QCP4Si/QELk+vB0as/4leDz9kimL18Q9Pr7xlU6uX7lXxGhq5IvuDSvfn8G6U1WwfcpMfISHmSgHnrkKMqUGDKWmrZXeOo2t+ms2PdqDzm0uuW/eVTTFBJ3GZKWJ8UvGFLwuS8k8IXqN+GzsvzkL+2S7LUrDRFe5EvKXfvd84G8WgrERX1nMz+o6jhEGLNRYZ4y6l0akH01x727jhwMGu9GL+3WjpnHs29vPjmKNjtijiuZ1PYjhZ4Eiux4MKTPoOyap8je8pt9rm9KUO9Dk6+efPv+ISEZWUgv04npptj5Gp8Ml8+JNY+ddcFrm661geKL3IXySVmLxL5hp9w1KfjHChkAfq5X43s7+/YcH9WjESKHvK2kQsa5AqP1569rQ8yBgAressEqUhICg/szSqyZbSGhlnQNLRRhyP71yJ2z7Aa9QzTJVqPFD0wBdgdsF8yTBtMpeZ5fLYrqyasScZWOQCVtGZ/phTiS5l7fRvWHzltoeT5eve5OGBL5k+/9PN8jb6BN/QgrEjoWoxkW7EL7oyNy1AUyCxk6JdJR8E6WWqoI3BuW1HfZ70jzthpQLjzZeajTHVvvlhMdebOZyRGpkEBj+z5SdHda7YXJs7t6z7sNsGRCr9wsnoYyfwawv+IxxM7TvoasHdFFIj0QBljjod0pZnhplHeOYIpYOoEEy5oWTyeBgURz3wWDRXokZbMbxM/Zu1473qeJMN60jZ5v/qgw4k38P//X//jiQkslW6/8XKpGYRnZu7Gtjabj0JANLKB8BB+c7hccp3Kh2Svco4TpCsxvLv2ShKzC7/X61CO5KokUt36LBcfadAd4it73o1rkrTTY0mi/AZ7rGCnBe+RQ761RbGzkcbhdkaKBtR4NC9S5/baVl8hQe9zFAoVc9iTLQ3L0Rk8r1F6cK9TgD6K1eY4th++hwUgWVBfKUHdw0Qev4NmaUG4br947GiCPzr7GHUGOgwnO0MKpxKDicWvmGx9gn9PrPKAXCwNVrzIbPZN3y6mGnXe0DH0Pua8Daw7b2p1pByQ3+um9uRxe4gtZxo9IHwgYgdYSPN2UOHMqA9WHd0giBLz6A5dd3Vf6aX1Adopp+P7xfBBO3KZCZk+LilmsB0b2OHo7UlGmFeKvgMfHceoPNPjxeemX4h4dTOx7qt7JW1eOiX71Th2Oo53MTipkfwkNoG2rqwoEta0CKWwVxocvo9SOWYqcQVch0ehxeaGM8kLg3zUrV5JXMxyANFLB5IDJBzvznrm+4xn8lwt30nfFjQxnTXWHKj3EW81SDPskzkUl/iMTCacfaYUit7e8j/Lu+MWlWMr4d/dZ64E0g2cWj771lQafqZP58oqpA+pQWfjiR3rpz3QuoK2htOULfqY+Rq+ZPje3OCM46Erw86O68kaetqv4aSU0E8KwddApzBb1pDerPOMqidC63ohnqY30qfIa7snCDfuwd/wPA4p91HgoBd1bdOYM95KviA/bMqJujHjk9PIVudSQR/eVTfZlNIOqYc4dZJm/yRVI6elPA7k20uOrOqqFOap7D5N06Uo/IvpbSwK6dx4Cw5urXK+NdtdEtG27NctdST5JXCOBvt9b11UEzYmWHzPFNl8n0YWLtMHdy507F18p4kMUHagkaG3HRTgeBOFU0zXXlj2mI1+515tKg5+P+6Zd22Zjr4qL1cQiubT4Zscse2KbBAf9CMSWBFiUzVuDEHvX8xSe5DQzM9vx74sSlRhm283op1AXkf1Y6Vbsz2OKQuD12gNZ4eNxH6o67mbPHv+S6p44CTRJgZ0/XukyirPrqZnpCQEI62RzVygnRtOGj0g3aC86bHaaV9vvSR77HoDlc+dKDWb4WNfEdtUDb67AIWtBqC3FCuJdUNefdu+S7/wd5czgLUY2qki2ew2KpHoSt5mndQi/hNc1VdKlU2w3z91rwPrxG4bYR3qdH89GP9ZjPYNYuKCIhnusIEGjmznvaPaq884BrJNXenoo68kj6YnjfePnU6eMvRrv+vmTgmcwadLnMdmzpO4Hgd0gR23HyOd90f381kisSFEs22ndeHgoR0PUvDxSTdWrM/zwYUNHNxuqR/bYFJr4yr8/709wdj+o/Q8X1/i8TGL/dQqL6lQOGEa2u9di2c4DBYKQaCbPHfr9fkek13qft/pQUV4Olv8fSZ5KdAbHwNJeRfWbaDd603rqdQ7Z0sx85XfRbr45hjzUuBiORslLgHO/Ew/2MT7bVYxwtwCDBbcQe39NgOneK6eLZwmsYrYkerYYGvD1UQwL0XvZXPd8CkoOMoARtpgAeLVzDONuAxlKDMq5oYegky3Nl1+i8wHj83x8jqy+kCblotq8VSE/FjSPa0SqhR9+d1Mqs5/AlU7zA6dCLD2qGi86LuLmJ0W56Oh9NRzmRFO1dUlrMtrmxJc8O5fX6zTAcwFsHs/3YGeOxCdpnsc3T9d9GLCXXQ5QjrlnGzBM25bgqjs4Q6boOdNgRZlecee5ooMX/WU6Rrao3EErsjyjF5aJO1hQ1eIQt8VGNCv7qKzj6BFWvgGrajcv2ognlan8dUKmyOoCdazQ57cwOpgPXR3aVIgkx93pY1wj1jrrTsLEfiKPmszmQE1R4k32XLuwCDdv65SSa3E0bKmX8WhQ7lev1GWXvzIl85Y/kLYyu0eiW4RELSVMdLYb6mfqWJ6rEkYRB/xFY3svYay96alGj4BZ5IG9MzYYuxW9xx0Glt6Xp0r/DZBCO9K2Mr9VBK00lHkVOa0RRqW4AeKis9PxtZh8TxTNGMzXNMrU1qZ20Po75Cj6CBYkcuihr3DREQ6UXhU5WnPDx3QaCkk32g3aZXaXhxeXI5sbr3jPBHUVZ1kx7m07/jok/DGSXkG6FSZ1+nO5Srkux2T09OkMDP6IMATdhQHpzbEw+owqGcx3Jj8VpRAeWnkQ6dLRED/tNHRKi1oh+xKc3wMERdDpoHS8+LS+G9HkbD735XUe7fA767kxZT57bJ0wPsQF519BlfW+W5rkKX2geKQZxiAa41goza/Wvkt4XanlJQcFUymriuIcaFmr++aU3Uk6ukv1cMWabQ8uBXf7uG++p67WchplYXrK6WSZ2m3NLUt5XdDtS6Ld0eureI7/mWWUQ7vVZkvl4Zu1nnazL9A+nwnAqYFKxvQjiC4utHBOHdsm0fXBgFn1a0vDKI/yKbRoF/UVhMrO2vpR1oxud6cUNR5Tm8SMgu5v8kLmVbnrPLmt3bUC5EDzwAdxse+2CAMLvtdZ+4AIGGEY8XDrv92TI0aVm8LUl5OdY6g/hpl3JLEptF281s2lcm1JW6WBt8Yk5D4jv8zzCt5q3viX8PjbtOQ8VQL/AIvhC6dmGsl4q2Pjl3onV/FxyZive37uw9rIJml+lrjklEswu636W0jqkpCsIfNkfjyaJ9UKwgYfF6fJa+VWtBzFwAkvBddGbZq3+rCgaNW6+VRXqZdKc7Ums95u4emb7nopTiTMelO8mQ/cb1AmPWwvD4S+ntH07HFfVdZFb1q6tZq4+aEeptxaODsQrL86PoFGLJdVe5Khfsp+OZrNtT0x0yO06CnkwjmM3mT9vvBW7+plhyj9NL0cd9guvVU7nRcnraIrhHRZqRGn6edTojpe1+iWEuv+SNS/rUsXcqcwo4hJ/lZ5BG3Y72gYN48ObbWvx4forgbqAM8/tqpBVv1hNbsD9nWTDwMYahn1mYrqCGlQ+UQA3amXuG+w55YVGXKGhvETbYXHbrulRYnvhDFxoSa2x1V+FUj2MNNNCIXSPmmf45e4VTq20/LEoCIHLurInucePdzex0eWf1HY6Qyi6phBYbg+v88q66Z+e2mRtBEBrniQ+8+CNKu7aLhdu38UnUL9uTYz2ekVBoPwUqGST2G1S5tmBlICBXGnBBMB605w66edjfSglo9AYvmFciJWhx1GDz9jox39kYf6eAWOjGqIOeBBlNaNI+8Bsgt6x3yuOtWyJuynR7Y3pM+00Gaay+Z6xa7AgVlvle46vsSPnbpt8InbEVGUZwXNSnL6KcPJFSZyM4T18KaalPFj1kthMDEdwKHEh+gJRFnn7PLNCn6U6z3/BUOf3qOiCT2Sg2/d2aJMIWWSPOkDkYLACv1oSVoEBpPMpzhmEjv39xr6WoqgPHsESCEP0q8c0Bdvmku3xygTbMAzsvXyxja1OwM99H7RJ3+KD1sPXG+97AHYZ/W6A8/bS6Htxu3+HW4wHxdwqsWrRzRVNj0R0RcOUAr313ULJMlidYh5bzQ/jTOUIo2qvrTRQuSbUdWBRjWZupJrjLRvLvtisoSnDA0/vdiOgJtG6w7xc4T3dKVJ8q4m8U8bD3KHFL/3BOa8LKrTLxNEXHa5B+fY4BXqhgNnxFV53pssmVl5d6wWgn6UYDGVdIyac5vFjw+kS+3Xu1SEB4CW4Oeum5F7bqdfl15qgQVbLCxMy3zTC6FOsr6emDqK6Q+P9rmkZ7qdA3+EGeGpnerRbPM7NFMwlekze/ZTH3Ki6z/gJtFm7WpUOBIFk05EifgqkxuPICzsIDumUcARaYLoeB5hgWQSpLCbZgS9lgG/DKDmhn5EU7MVTi/kHianB9p6eK/lwpPiOKLizB2XokrlKQf60IQmtqZfphIgvdEtnvanNfChZzHPVEZDdnI+QJY7VzRkg3jKjZckg5+FKtGRa9ToRPDJDWdwcfe2JeVXdRCTNoiFVr/SsDe3mo5HjV++grR4p0dOAljQa/rHSkHZ+qE8BLBzExaBxqPXUdtMDQnMpqFRRj0W523gIvP2CXMDy3icRakWua0qMBTokEGPVPuaeW/OtKTLiRMlOTtzp2m9mHaVOlbYwsWUDlf1Cn8oijXdJLi7jcMAXqG6q2Wa5BmGD/2yANRUOJBQVCzPQ1QYzdAJKNBtNtNfFHXjCFAD+kWklrMWheLhS7aTfxfisYDA1vEVCc+0MjOC0+t8VW5kNzMRB6TUsKStLHc7m0GGe60QHvq8zmTKlU15OP1DKBP8ojaOSgXWTkCZQGcTlCxhuMMKNlpPyBqWigSS3vfQQF2Nicf9C0N+58bNfKfE9edIrCwN1bQw5Qw323+V5vhBjKptquzUkiadFvb3LBFxkQSpX3zdV4CN99kiVNigdrtX8rscuSNyQAX+OcpeLdo/jDh7Sz2o8K88cDSep1p6plBYxK66fmblYSK5EirZCN+yxomJsgZS8HPYsWRjTDm2WZrZnxJL3vYFSX4dLevbT90j+6O+cpLy4i7ugEq01v5aylRs4wtQqeEYteSbXySYy1O5nIsIhox9vwzUR8rW4xMyTLnkzSh+s5Px1k3FBS1fxh9Xg4wCrGwXtkDJ32xDK/RdBm8mJv385q6vadMUt716z22WsmKw43zHY9/8jHa9behe94qI/GPNq8oZWn1XisPxJ1iwAWFzV4dKxKIhQhdK1ivqcOnWQ1eUMAX0LXXdcXMKcJdn4epPIvu15ATan0HTZ6ZBATpl+v4LraDrnrvgsujaajVn3cqASR947t1uCdpen9iIdTg4kigtJFFZ0ROrrLIkAZeSAqPcp83IhSoLrnKvqRv2oSUBMIefTs5deSfY/es6kHUBOAhxVWHzF5ua+HGL0vxxzRm9x1NrT8Fy6KrfslDSJ95L/FAmpEFVqyl1z5L3P32H0K+3ETSs6/4GdyTP+BkqRV+dgZ0HvUSXvrF3dl93TSIvsvCoTwGyQ5O8CanftqZWRj5co45J2FY1QK28tTPujVsP+ra+GxI1fZ0p/c0hvfW0Sj6DpVhS/Tv76Enm5AvQvR/lxqg5rk/HhvVNqUKBHbdVlo5kaieddupcazerQyjSv1lKtCdEGhqa5bT5WbXVEaxwy9bL6Q6U+bz8oRdGnfSDLeAlSsrGCM0VaKBV8IpBidrs4BfU24iQvINbGdL+c1yhUbGud46c79h5MDi+GYAlIBTvuJiBXzTJvPfK67GTm8BxBxKKRLQHwK3QVdlvvCqHppto3tJb1OHTuJHdppOts2/B209Z1X7lor+iGqn771o0mwUX0VoP+Z3n1lPrv9VbhkSrL9WlQ12QKptyHCDyMwDLSrvR76bz96+1yS/wcK6IeXKuQ73XKTEj1YL2CxX9/7lM16koW3k0ONXWE9uI5dViZgpgS6FpjveZxj/cydsvisXMZw+gnlmrTkPJls/uD3R7S2clwjB725wSoDYqzII1uSomelrVOwVbbRJzfIeo8LSOLK+axpinRMYDO2C/p8BofT/uYFOLTytPxh5cQZwgfblIBAwaXVZ3K/zSK3u5PGZEpqnGxTKEz9HEb+fW1OG3K8U/XzffREkBpnMtVynv6s3Ohx5CdOV4Ux+92+tB6cwUF7eGUmDfYyzU+yiXCehtcbN7dmH2lETPNdoKzV0Qcc0BU8ggJtHZOV1gk06uT9VMKs7x/dpLP815PHmkzNS7/tKHW/hdsYiWu89CN8ZELZLVu4R3lhm7UUt1/9CxOCRWatMwfo6EP+ec3NqK7zQt559H9029uJKwIRLvqOS33+brdbXSidafIov5hUp6oHAzcbT6abFV/J6NH811AjhKFbybpXEt00RFsO3sFL5cGOzNK2MYsogWKK3jyN7+y1ztxHvcdL6osSlM9RIZ4U3iJI8+oqdDylAlXj2s7HC8U+hPBEPQmTk3zeN4lg47KfolvfWFtkIkfaO4XtK17ygUTrbrTD09bpHurGe1e8woj3Db0RyBc6qYQQ8/OlN//EgyzzzwxO9hAh+fuUvWd1UDZY8vCVblZVgevW+umCe4VCVGb7QEGtpaXa9AF9czP3AMFdSY5uzWC4ny4erUUEorf384WGvs+SMMHUJAfMlpiK1WSi+5o0G9+Y966+6bQIE+lFxeUUryzFHhwHTh6zCbnWPs0xXvYh5Fl+Au7tA+kxTNQ99Ihewfsn4vy3MsuFCbfGA0Uv130hKoBlEUKfgQ9GNLrSm5SG63sG0x3BbHMtYPXqKxz8syKqZR9SXiYKaZGYalZQ8g9BSdklnDXVad/TIN4Yf+fD3gpoBpTeRrD6gfl2cbTlSsFlF9ZJHs5x3KNzlezRs1qLQLccs+mNaM39Wn8WjZTUV7UzmIOegJaKfeCQdinuJUjg5gtGBX8GN5d727fovtUkGNP7IWgrp8PmGXwpCNKzDlJLIFpvecVRm4PnNMCvdilXYZ00x3322H7UQYrYB/5sGXk7w61k/b8CX+YzNy5gOfHKaRLfb1PoHZeZCAtP7j8P4tkoRjRh87PxQ+55Eh+ig7VmhbWK9qn/R5qZestvs7Ql0he/M2G5sxFMJQ+oHTWhGLAOlaYqS7TGqHgx2i2gbwvGkToZeBiqvob3r2afzUJUjwfpvPsQ3+6EasOc48SrZ+Umu8usClkhPJFaO6v9RsXLecDnVV+7NX6zOt4NGfls7fDLabBH1V1tbsDxsjfoOT0aORArM36QSg3+hdv/gaizVCufeMOI1q+A75V+GAONUqI37VTbi1J7ojS9Tc3mr6sioO/VJqmcQhMyG1G+2jlP4wcslDpyJTi19FtkyifdsYKYdKppfrDJ6+kTlViXsCmsnv9dDIdfNS2fN8OlTd12t7raJ3bdbvMrb8svth/BQaTU+P8pKOzxeEVYIt+Vd2dot++KbXUzzejgzYGOia9gAhGZ/UO3UrAqdFb7T7tK/VEnzEtvcwLVlpxPsyTvcyQelW+Fn+FG0ZqKyDYLj+bK7bmZotHQOzTt7soGfFD9WuHXIZ1kNwKiXi2H5xMUcQyBTmq+0Kb0Gan8BMwFnSQY0rkMDqUk/BWoL9ff08VJsc/tLaK+YuIr3xUxs64nxYriutxuNVK8dUhpMPy+vjnf+5R9zdUB/JUJ8jDVWf2ndiWJi84R5XXuTjkU/JrW2UtNxlhmn4LQtQ8jv7d7w7aW2/e0xxYa9ruHNDhDn2ql0r6Xm4NVVqzocF5PGek+DuCKYvNophUFcLw1AsdThBpaLr1TJtK0hnqV1U0jqzPO9oEmGxtOCB3ZteXSl5kOOX3wmcO5RSonsmR3XZ8S3Hbp4pOdcqufZbJIS45oKPv1Txh8COGVekPC3B0yUmbxbE67czysMZir1TRn9U1T3wtto/tZbombo/aNnv+ZrKkY2N36HVauc2HrLz0kCsB6nEKlkCb3ddtGUJdRtF3p02eCBaM6ne73uFHr2tfv/IWkWjp+PYIMUNE9NV+jPwdEkm75syPQ18dA/ZaehAMnfBCr+Wwb+C4mbiI+7uWVmqhH0T9x/ZNNiBwRYCAAFnpsMn9VWgUnM8Tw8ZmEoUbow1Fhpsk5AKEz7SMd8NnwqLgdqdHZSurJZch5Kbr5tjNorXGryK0ou3+1dvBmVgJw1/CMaiPvhIqBFuvsZr1uq9+MK7O+eIyj5FbKr7iWD9nhZhsLbtgHJrP/RMDC12crmahkTpYK0+MX3xrplqv7aCrM6mkDNRHJRtviP3/ZwYGJj6UHhpgQyRr+n+PuH9ZSfRm93kvT1U6gjdU2+H2HUaKBhqrHJ1PDjdWJt9/fhDtlexNj/C/0x1lN7sO28BMU8fadTHROeOHEc/DzjHJb2sr8L5titMccS5GvQmcg5i/KYT+S3p4LnfPlvySF99LXBaL1c8mONGb6YVIkcu9KZTkFPicDzZbQ021bYUx5jyNSvGV/ZYpxwMOoSACqb3uwxR/s4mIrbj7tL4L1p4QILSJCBC02jd7gjpDUT1ZKTPuUmzFIwfeZ86fMbW+D1X/TkhbeHQTMn8+NRcdmoTKec5AvAkBjcvDMPD6VzfpVdu03qL+JusQ60F9tV52QIkCJ7p7prM7i+KOmIk3DNrN75gpY/Sb0v3gtohtfqPnHDlqIwTWrglT8ON7RncP0v2pPcfhbR/9fdJWUNjNnet5PzA5pebLdvvprmGzOdo++bZz9zROjJYldUio6vqtPX8xTy+WwvATh+kdfjap7k87YI9N/zEAvmDAG5MTzn9SJ7HNVDRM2kn+pmZLEUbu0gcN/kcVZ14oTi6OCaA8Sgsu1AEvhlMnr745l7g7xIrG9zTWVNXPiF5Nc74N6XoxLvvuu1h0UDJ6z6hdrI0XRGk86fCOnRlBvA2+2YhQvZ9OeJculY6bqczLc0rMlN1nzRfTHAB7b9kxWnHZMS84ZRdhHWe7os6q8wkO7r62tOy4doSo/HZFtAbds1t+TPrKE9yTEG/wdj2MsXYEfC0vqEmfq7q5dA+91zJuF9XRbRhTTuhgy9lgLSCTu00ggiEliqZdGklhmVol9LpxhCSJMknLQHc+yEksKziK9iWRM+08TlHnjhsku0eteeyPV/kh8ITbXgq2NzCEY0yj+qBqVaPpYoeBw+gwl1C/5jqU3VA4/OyKiuRwXCNf65JSmh3LseS/mqFWPImy7jPnMZ2tyPaxUYbt8KYaTsAQrAZSJVHyy7lM198aSX6jRL0uVodBys4RJnCTdOkfoo87Xbqczn9KbGJrtWMr/CDWKSYJjrd+liYkimXFFwNKbzqYOKgZKsVsMSfGcT2UsvdOMNuwzrULyQZVNKBH+JBGWZFfmlAymf1ArJmFem0+G2LJJa60aOwzN9qXEXOz1v7luljodSt/9HKsAukdjQBTQr3PIsqiyhbKc830HppQNXeSrLfdihYp0BQSSuGMcJOLFYIVz6x5HEBnIipHNPR1ghq0fJe1ZirOrsrweH4gvVKpyy3uqP0I/VxbO7qtgg4bhGJwFR/xb+bGj+UQdd2WnAoSlKJ2kpllr/hkkd9mYV38K5A+jdXkPQavq83aBFdJPkNHPAJV4EMj6i2Jt9tIPaAl9R7SOjm2CjxDqlodXeDZhfbU8qIo7DTpFvkXVr+xatk2UzZX1AsU4kbLfBjEJhpXmnRtwFd5qMkAAZqYBbx/IcP/MB3WFrrUfEn1RFR8L3Zl5F9iqXSmIdz/WmH9My/Zzy0D2NUGMVD+12O90ggLNOxvMfBLLQ5yO2CMKRMosepYFk/nWvIKMtkPnlMVqdxhuj8wg7xDRBJUopsc2ea2afxfdkvoSpMlfhm9upEdOYm0ksgW2BXVMbKECg6/o0DUsaJi35uJURYj74NGPwCnF0ImvmokymrN+l+EnAOA1cNss77Fi8nyfU/jo6oC4GcHVRatq3103QlxHi1F1AZNwiblsxd8eK7E1SjndrxS7s3h/OsueZXpFf7NvYgkvG+uqrC8yIU3N2xuif7pZuQhpIWJowQwbUyi8TBn+sly4PrUh1iuMZp5foCbUZ5qZ01czY8apmqR370Jluz0DBnrhVLkL5OYm7fZE8U+EV+18/SNMY0CRJtLD+FFLU/gA+Z+YGjLYVVPnxTSg7aSWzZBRc8ApVX26AjYNKkUh6BAt1sHyWdTDQ0BbgWfjw9OVP41PXvWuocPFIRUb7cRwal6uxSchz64L3jbNmP0QOUYom6q6c6MEpfGnE7lHc+6SJI0EQg4v0rnTSbqL8bKORI7yWxZbDZ+efUJGHuKwsdkYeyFMDbrjNsAdRwqfIMt7sGOO23LarCi9DsOLa8zE9f6Z6CgL6l7M5xLmU/cI1tKVplbk/GMf/zVVqAjhH/wL2f2NlHl27H5cj+ERaV4iybCu/My+e0spJjmRJu64azmRcjFbve6A1PWwIJRcfVPEoynbmspZEMn+3jvRiel5lSZsMTAOBkO7gQ1lvlj//n+H0qT+7lnjJzlacnUfOCCdt3SR81I0Kjn0TsHZ6L0pIHF5JODUuJ3imBCzSE5+imJAYq9wZTq9ld63YbvhT3uc3ZYXGBEOXvtlEA37c8iLSR49Xo2u0ILXmaPnjWWyDRpt8XA3Ia+tU9rI94vq2KN2HZbE79GakS6is+WRFL83fzUtH7GJ9tbpNYZ7xT6YCsVPcDbGx1QdNoPizVwFzQcID0+3Fq/WDWvuZt6uzphYBCO5rpuHwabg67gow/ENp/X+OTRxA6VcNfmLiCkizGqQQD1jLRdEMerP0V5i/Ov8ylGHPzCYmDSyhsnbJQE9AZU1Ar0QVYwc49Zhhm0A0k/hB66a3kvb5GWchckcTe4T4Gxdfez3GNij3OPvYzaqO5zM/3OqRHiPdKBBjdb0yn6YxDeknjuXlWCEka5Heh+i8s5lzFah5k71aDsOMM/Kd0152CEb2c8wZ7Gvv80Au0yn5c8bu8wmxejzPT7Qk+0Ho8OTSC6jbFy/tyqQsgbm8SZ5dSk2Y+qRfUHFrKvkgQ6ZopSax9/Sq/G03AOl3Bm4lu4sqVoj2wRmUim9pbsepr5gJito+ht2MsmxG9ktWK0Ly2l9269flH4FSNDWBOlzSaEPeOB1S/h2/DV/S7hYLXCX9OnZZG5XW9FBpAuaU28WHGvlZcir8CUoI7qkhw78vyWVP38dspEE5y9Np57WDpst1NDKXY/LcishaDZ7eBEo+x8kCtcGgkxnZenNV4MAVxT9s9STYz02FM2r+tgf1MbYAm47r7M2DWbjghgG5udyKgsrv1BuRXRiKobua9t6J2kVvmt73UFIxYYaRvTowM2JNPU2mrQBpLGPT7pNL6DlDUMthX7n0toCzrxWmt3E9vxr26kfHRtG4nf0m1zJHebHbfN9G+u/K+lP9AlfL1aRMIHQ6OvlfttuTitrDO0FYNXgPRHxBEY79t3kexvF3pOjwZGUP6cR2qoq9zksPaYBWGIgxGGkEyLLFgxmin67EaJmwp8YejbuNqJynDFqIeKx0A4bnufg+9akbO47RIqa6NGMbfX//P//wf97PQSdaPa4YzmtL6GypLW36vW5fsYIjpX1MNVeDhEFmuzJWcWX+4RH5yTUYi0trF1hajhstglKcNDh4Oc2OZ6iR0hFgL9aKQATTjRd3EVjJJfS5J7eDcHNUvLD32a4/fvJOnXIxJ0HeGpIuFueRQ4cpbK0rlZk0eDpgu9hWq+ZaxqrQZY0BC1nMi8ffRs4kB+uW88BTgfOauoqqj+gTu52d11fhhgij8irlHu73LHdjevO3p0yRIDk//tYdCNenLONXFlknrpMFZRevRvG5//5LHRC8086/2maFstx51iVffo2byEqEhaPvd+9s+U37KOEwhFtILKbhaUZF101ZEUaOPiV2zn4DzSlHXzWz3zUgJ8A6ysgx2Pt/L7XmqJv2kIJSUy+QHb2NO7p0WiLVdP5SRls576otrmHzZ1zItah+GfY4ScKd9iiBH0Aig1w4pxeojUTxHzBRNcLaPtehv7R5sjfW+qa0iASOHI3scAK8Hlx1pVvg0b2lbSEus80eJH+daPPTQSczsbtDhnEVY94WlQ6bgCwKTVXKSw1dhDDiIwo+KlsPcIZJSCirKusOysrsPk0e6RljozVgvEojZu1Z+iCEtAUbKJPXpV9TVCmPl7aWXM5SFrZ998PNQSIPJnRufswe9ex0+K9f3my+Q9LFfqub7M2nh8nYznW/myMSynqAnfwhg9f+6d6Me4nyxT5I8bNoW3Den9mV0cg8wHqlx8UrWuEt3XutR+oesvR6KYF+tPR//e5mj3dKTFx31xaHG8rTpGlpOgMQK0vrSc78qYhkJ0ZzH1JdZ4w+rR/sfvFRc1TJSUbbbBLoJvV9opH1//LQa7Bbehvuba3I7PNBsTU51WF/M4wFYEC35e5at6Ca0NDPWMd9vt65G+nG2OkDRM+xURI7XfWeHPl80CGv22tHC6SENFFMrbtvv5mKiBDvAh2JoXpUI6rAfZv8l5NNz3ETaM1IY+kH4C8AE3imBO85F25Zb+/dSmlu3DCOppwsziofHD1X0qUKMkDH5EouH/kIbtk8npg9CpTIn/4MoOA8lnCoY0ktp0l/sHbNp1/IC8KFgarFzqGLH80blpslbAWnBZFHkHZs+/kwZPY/y2s/27/oOmMS972wbgKoP4BtllmjP7Jkz8F6RIz528li/wTW/x1xo+BpLOdOVXUuastU9Pf5HqHd5p9V0Ok5wT3TneWY1P9nNjP8fBo+frcZAUbIPgunrY61sVgUcTLsruatpz4Pnvv5xeSluUXiSiPqYDi2t8+0Oj7XvzjMT4WiOrmSkdx2/pQdAR1FmaoBeWPLPZPo+LUvLfeVym5m5u3ycVX48b/HP2T2ljN2dm4sfAKKm4RnjVnykTYnjGbWaooGWfkJrrOfpPz8/bb1ap5z0N+Ft4BVbo2KN4hknMxQSbSiN2qxsjwC9QRJoPGGtbNtPioWAdabwadOLGpS8T6YiCFAYK6GVOkyHVPJS+r8CFrXXhoW2Kq3DsdMPEvF9pxhGhD/XW1LqvuL4r8ulxzVumYfREa/0s6wNK8fRu2V9cbVWMxVJLKzw9kwPCubqRmjr73Uencp7vmcCd0CSMrxhE/7SM92KSya9Z51M4xSNMJZsUrdo7qw2zz8IQdwCujpIk/4Ko1ibF7HQSYViW7/JIGSGo5dTudRu8inUba9eWaxRqIl5anBaEHGI/KH/0q4v/EGVGXBdDm1HnewNqQhDhvcNY6/zklcIFDQu5FS0da5C/F3CGKd66ut2nOfemFzvEVfRxU73j83fuzh05Q84b/JmYaIXksAlIO3Fib0NiL2IxBmdL7lu8QOdx2YLt+RsW6cPcVXpzVeUJd+/JANZUKRqsWRQF5F95jVP2x9skWrNwFuBrVickaBK4FPUUDSktP3on0he64UA2f5okSLtZ862CTuUVu5SlAfcQJcj0Wnm+ice7h/CrQ+pqhaDd5EqC8Xrumz81MMn+TZNWvv4htigkGc6Iycg4SOSS+0FMPcpsCCIHT6Q9HgO8JUloDvlPrJbWN9mwxfxq1CjgdmKXNUm+FVdzlvaWPIMrYeJhidkvrUPiILMSn5L+Occbaeq4nuY6VrrkLJbggf7SU4KLSDTshDUVgsfVSVq5gaHGxdXFcilxcVojkR5oyq+mHi4YzfFjgR9aebxs/RG3DR5HHeSzOZz9NuSwFIkBi50VJnLCjCt+le+fLXxx4vnUlhJ7dUT/TmSz09HRNeSITkaIt60HwIPwvHo17kc95yaxi4xoHt5RH5vhSqCJ4uwibwkwZ7iSinppff1Jwr2oJNRZhI/6uhAk4v/lUatozfPnoYZvx8Yw6394/QjYLf4R241vMtyFXqtq+ZUPxy/e8h9tnNzg2XH4WPnIv4pqikhvGPp3U6ou2Ofj+zZ4Xf7iuLoVgas/NeH4EG2Iz+R368e/97Nr8t49f23NeNciUo+ztbVHFBfDDkAIR9Iu0SBgxVAxZPdYbBrCqL4GeSkyz2RWfYHl1s2oeRKmnr4HfRP6KVe4fXH4kfBt32AJ6F0ud9Rofdewmnx+5GqhZcd1aLN0QiuK/Ui8EguEx2o8NWH6khOhzzkd3e9bzci+2Uc62Td9iPPrFYvOo5jk3SbUCv928ZuBzsb1DNOFq9DCVOKzzHE/ToNGp3+NV2hqmSMpw2IpZu8gMp8O6N730s0krYjXpKcefyGh5ZYW0PackpYSlONCWJ7QPTuIAgpbf4YLu9CGM5XDUnvbseWXHJPZrmZ1AbrV4XReMyoKh5i2QRVrVvSZ6If5WvBWPFg0u5hR2+s9/VfbVeMPQ8/E9GZrE4b3GkkrFVGA1huV5eW/tizjtvMkS1N4nmV9qdHK2W0k/cOhOsxbVXXq5H8MhOHqjByZRv7Jc1E+s2b3RXDkdKxWk4yZVU2q922a6x9ot2O8sup0DravXZzq/+3T9T5yD47NmLvZQg598sIqdWH5DtTKU54Ko0BV14HRNVMTKHr6eVbiBPZX6eUbEd189AdezsYSnoP3brmyXIefOz5MLS/QQvAG1JXMixvQvdlq1Ts8Ap5Xnsmjnt6kIZsvrZIRRjouA4p+YOw/B77u0gtqG1YzVovlT/eoa2mVpfegx9iDZ5vkdZNexJkuSJPJm0Um2BBkC42GBROtye2r6tlMWqn9rEr1qwGRg0xZWksT7oc8BjiXlPEdbD7HXfgwTdblyXjUYBCVc9R5eVB3eeqd+vhgk5U2pG3BFCPaYtCxbvXXPxTOl0ZESmepzede08Crn5v5W9n5LZKMtyk8jRJX9JrWdE6KsX0VKZxk6yP4MS7uGQPaZfrwDdIaPhULc4Nm4UbcFEkSXG/X4PYglNUC7pOukfbZYmGeziYzVdMvw4f5i3D37DvZau9Txw1Vc455Qn1GiyZG1Tow0cwJ+8AnagAe3X8caY9sQdQqARDhcXT8FnTtRiKhKeFIz39nfZRpC1bMs47PnGaUdufig8Mk+20UguXJd9wfQry1WtLE1toucoVAKJcpYOmSJ3rFPU2+9t9O+SWLexCJfdl42v49yy1zi5ZS4SAcOEgDfJyz3PeSo386sAAuqocnNerN71c1svhSgf16kNN+t1j8JsJ3l+DEsgmZgj8CnImcoitZV8IKtanzjt4ga4W9wz55DlOLWYyYrqIM+GaA6QokF+hrfiybG7T4TcQJegA7wxCHpADU8s7mhp7w8Mzz/L35N6Ghs8wDpQWTdW1v7kwYm1FF5WjQ8SN4UTEiS/c0zyK80BcP9ObeQNRSHJFGXRjFdQwr/WYPULp6kKexZtSg5q5gfAJvqfPw63Udewb2u8Ote/U1OTkOZak6SXy9DU2BHdRgOSXYro+fK1tzWj55K7ocfvhM/TNNFc2ep5NDDXcvreEnQLsDrugbSxW6F3fk2dP2Iz2/bRjhJTeLt0LUr6LWKN8Xa0KE1lzmztQ5LEGoB6/dR7SwfagDLbN2vyic9fvvjhqTGS/LfDy2HqOjYqsn8udf5mb5w4xCgAZS152+15NrG3VWPbh7RlT2Wtf4GwoKtiARiF3dwJVux0KhDktAi3+pxo5WORkvE8bY73yyr3nwsDx08e74OQHhYG/2Bwpv5sGXlI8zEo9DNZOFrX/eJ79eZ5nFhcgFSVad6TZI8QkmowAoMTa4YCbK5GG0WCaJ6VaVYKOmLax93ms0TzjuxYZzQw15lie5xjUqhfAif21DxOI0I8Ma/xgT1LPJ34M26FmZvuERzQOpvpZzad1/c7JDQ2Ca96OqYFYQmDcq1bCEeASPiHeUj/Ut2dbmBXbu18hRVz1h7iwe6W7rVIToxbszWEC6+VV3rKZrI1yLxFtibKt8rT4UIeMHde6rC0SUAO64gtmah84enIRBib9qXMTfoQwDOFryMCj0Y0Yk0LITvDouWanIun0HCCtsnTXtjljiTfF6xXwoI7ps59taGyUo5zZ72Yesi+fimtNakaRkLTEYNAltsaAtCxL/NDB6qQBx35q6rdye/vU10eVKiu9HvzdP2EYZNhazla3dcKABvavv+L2my/iAs5Nwyb0nFrr2EzZduRaQgKzql0dX5+P/moxwQgP7A6w3aeso765TT2soxwxxZtI9bJqz8SPW+wxcF5xEKPMNSTI8eHodr1x3i2E45QQLkxMRs/E+1C5PlEwbdLRs8MkVvDAibRb3G2aBcRvHNraOb97r9n2RIOXg7DrgRJqPUXLdXqcnz1ud3KRcjIsAHdtnkCTqTiXjvI6XCH4I1x2BpSzFWKaHjRJd6z3qwOUGr1Wo9ArAeh2C27/weM2UGiV+3qxrh8ds3Buch4lb4M6GJhhCo5NtcKKmMFuWXzqQZfFtcwxGMuMkGR6EFXrGWW6TpoXdT0HY5YzTj0NXDCqJgEdtKY6jIRxzScujdUloGFojNF6R9cdvr5BBXzRMyVxqZTfg/JumJnhV7DQ5nK+vVdWWk+bh959M/SFWmbmKUXBrq6iXcpBtdZR1ut3fuSxtpr/2NTKV4qkadBI3oWVr5m2l2s1djwIEAYqFskaDxswVEqg+3pUZrMPHGi/3drXCNrvNM/V4edtgnXsyMyNuEi2LHasljBz5bSGFVgch848F0RlHz6G73pCNFosZhkXYwW/3XlbduneIPOdkX/LO7XH6z5OyvphYZHbVLFetjkAD6eYuhUfGHeltzUSl2trAdrHLViiEqylGCpKBwCvtOhu6r8VuVqEJocNbIJGz47mdDguaiwrQrbrywY7gMqfK8GTj+vs5YYTIQAeMd6HkZ4eqSN3OsCeA8lXQh/6P9ZPBbUkoa9mbCRSE0Rjc/UTZTXbNSEafvCmZcID+2vI+zgzSt7163h3fxU9n241Ub3zmyD1VfjemRzylKqe6DsC5qJ8GOoGMtnWEq9XhLm5fqlwSzWb0dP3gCP/Y80+HIWrrAc2a8ZP+0E+4qLJ5TtykWvGqmsubLOzfpt3iR/bxqkcqyMF/maqe1bar8s5IvLhW/U3odn/63//T9pLxIo+wb//N0dQYxuQF0HOvT9iWo+oytpwdKalfnyuxjuq8+Rooref2YLJzHyqMHMI/PZ1Cn229HcSd8bsbB3L2c3okV55pujDTonX1lPKe11tNPd+322ekTRYzP7VidTyvsyRYf4B0sknptSlHvmjppjcSsZ+e/S1DzeaQ23fvbxfuTHghxeILFrfRymKVWRuGtLQWM+HoRtujfFwOS+YwXpNJp5R9uWMSbNen1x1VcFs2a/V2uPdul4xp0cZQxZzh0UI0VfZ83Dwc+wTBD0wP9m7d5D5OO1+vMalEtmEFilaRoW0b4cbhkaU58FxgbeVg+Dtsn3vxdIfyitnTJsa+Nm0W9as8cjRa+Pfn3R9wf04aoq5BND/6tMSxDO77zAq/zGg0dXNJeqbmZffId779xOHgZ7dvQr4Ypz96N132qs3sNhVBwj9iWeuOZj1oxu95LmO5wTDffhZBqoKS/h3cHPejZ8ZkvHbzkWM68GjocEK5a1Izyh55tHmRX3VA3vE7TYM0jiglQFkL03ir3BLQehxSgWC6vN6udJzwSfV3nYuoplkJsoqT7D5IHLoGSrKz1NibxpGm7cLAFv6hHpaW8VckcebQlDPR5PyKFLuoAkVo1EuiaWNSOjbl++z2sjmurzEfnp4mrxX4Lk/6DtKkj+Rs3sRgcxhHDyeRI+zROAyDLCJJwHUxbDyAZZX7/hheWQs7ZEmnOA5nlrCJafXC4KvF5JnwdSdd9YV2btlYu65/IBDedEdJ3+RS8t9OOq4zhBWEvsWhDdIFvBTf9LyqPMAcfZlaoZvmYLDpF4VbcodS6HOCp71Fv9HaczpB0v7K+0HoS983uxz6Z3TOZ1bEdqVx544D6U4LOAZsuqUym2ILhImXu0jLdOs3RrOsWOwi688q3dvSZzchq+0maejJPpqnfMxQHZLME0H/pb+wTGSb6tPsllLAn5YZyqWpV6WNjPabkEq+hgIzL/zsWoU6xuevNLPbkUfjZkJYNxXERyRLIcp3HrIdfh1tdrnwrFaqRBvp/A7nTQ+4uab6wY7TJs7ZYuKkEpfmwt3l49DLjXyXcZ2Q4qXAbvDMXB/HZwdmjLsPQiHD3c9xfHqlaiXmIjxTP0eUX84FdnD5TS9DE67jfVOmz2uiSMEaG9LiwUwKqS0ho3v+ZgLKV2SyI/t5dZxMm7B18BwPXhNSxu6mdJz312dMmZSUjE+vxf0gksIxR9A4Uejyc/oefIEsuFAbaxdyN4Pja4+rr2ZvrGl6biEYg/wNdouQGtqLtBCpLm/KPcCi2bzm/qtm70W79cV33MSQcqyjl/Zs3nTvpIOnfFBv5jsq+E490QlNNOcx4ePlSemI7Dnqptu516iCCFt3IrdvMnxzDPVSVYsTzxr1friyW1FRtT/ETJ3d6dUL86n3DEjXEJReKf++aje3tqtt4tV7CH50XhxenuemWf8hJEhxdZOPMk8ZtaW97Xo5ENIfadB+Qo5YWO2Mw+djUqWlu8cqDGEKM8/ZQzKxRQv+eY2OYhb0WEOb720eWXdxKfV8St6sesrKFtwax4e7IX3xjMQcj76oVcNaoQMMn76GpGOIMRQ8DevdwH7vXxJ70vK5P2GxSfkHN/U1AHPXXLCm8wjzd8I7p2PXpdYwoXgSJMrZxq5993zHupfLjYRzEopbYWhQLf3X2KD21Zs2M90tbj8PFcSqiiCobWLbV67CEDwBICr9ciTlylo2Zq2f2ouHVWsMkeZyNI8GUG18BxTqzIB4PKVgUyvz9AttO2HVaXccIcZZ65ZqTNi7++FK42il67NULus1BQu777rmnzzI3mBhkJLPqUTwWq85yrrQa68FQLdHFvlEMmryO9Y1uodRsOeATZU6J4jeyrWy/E76Zwlcsh94xhV7qlPiqGOoX50ib7ONkhb8LPzxQ+a+W7hWcf19orpSuaqt7PTwn0LeZ6nKoMk5eYi++dJWKb9Nmk9jyqBI4IpTscrObKek0o9PePbsRO1QCfgbz0no63TjL4Nz9w0PUT6LtBAI12imDhOw0fdvVYjElXmdAHj6pDomsB0/FDA0AVqXBGlxdVBZV4/9re1BqLTzK4HvQ4kxtOO0Z8dzDkQLX6qknL9Bb47zTogdrR08Hskt2k3IAh59Ex+z/uP6epTI2Cyeyjahspm269wGoJie33dgybPVgU8TbjW8+7uYTybmoJmBJvHH+tr0QL8jy1VQ1ykZN827lr7JVoe3Zx8CWs8XTgzBgI917Oynn3BWiDw5EDUsfucrzKYazwnzP/iv+GvFb+icYyFbEuakCxO83NUKHOLkYQJ/wGwfNAZHsCl8SfkpX3sqAoHKfmnuY3i/TRDNNM5Y5s3VZm2OIeWX/jznH4pz6PtEHIg1N0yJaLMGcAzxgzumhouJEDXvUV3xnaUnWFJ2Og8Sji1exTkiGbCFU7wMymW34O8Lt1RrzhcESu/59gbc6B4mKQrTrq9xe/IT6TMy5wsE7M35neYVzINeg5+WuX1BaomU+UL/RGLxBT+457yQmDqaEn1qdxQxtzYQMbbWI/Y4R5Z0spxFU3O4rRi5wx/hYQUQPJ3d3B7+yH6+Up6XXV+9ic6nlwNY3TsuMCvKLT5dLqRKYu+1Ayqu0vYCH+b7BROZPtUrXcif0RlOxaDo5mdgtTkOTtzUn2JfPt9UFLO01nOqm01+M3VAKxx6wpHreL5afafZvwEIj6BbGkgcVYZ8WifphmlwF34BNfHsNM4LaejzBt5BjSwh+9rmgaZtX0evapv6QqQywFeMszdJ330LZl0Cj1ahsmbiZZ2I6ot2ksZNuMw7vvcgLOlJnOdZCSJ9rd1Wg0W1aEEr5/Jk5f55fF0FO2yg0u0HC2Ht59upWFT5j7iBXxHFh7ScR7VHt461oHK5civbTai7pKa8JSMgyCG2aw7bBQCY/E+kk7HfxCU0q+1CK1hxmC2AwoqJdAJlTjyw/CUZfQHWjR8+QrvSx2L3ECr5riilGvoQZe2U/3D/Vzp0WwwIINKtFULXIcVLGdbyPHIX3tr1zK9c8LBfMRvNUmOvG/WhETYpAhaoM52TZb+0s/3lY7WKxg5AMjCC87jT+zpolZmlD983xjRX0RYUD27y98SMco8CeFD206gNc/MMyi2M4y9U14WDCwEsl0G9JnHPgxYSGUcMjtQWwr1czZZXbB7aGZiLkb8/KrFremfMVZZj5ghyBEqMuRaj/O2og26Fq64HmhAvlq6fAn0g+Yyxe4+0qWFadHcQF7mqUlNXcVK/Ewjx+i6pBbP6EOfoqEDYh7hTsiY1VsYZnW/VIoNCvP9sZfi8qjGei0JyeAc8AKTzZ+VzFOyYK8AnQLOQquuBii8jrBq3Y5B5oO/erAOioWhaAPHbz8wrvOkpPeA3PwDRKexhIP4kNpMZB3JbOjxVu2atgL6+tGebLkDfpyJ1vCYpFXU0nfmnU9+QBbUiIGtNNCPX5xzjjnbnrz4w5Lcq5VX+azP5nxXySG+aonUTexJldSbZOakHwSkW279rmfqosvf3EbNLUkaiqeHn0SCX58MVWV1/4DtfjYKIJVxHb5Wf2x1osgrvyWJwTKQ11nRT6HTfiy/fSbDqHDyywqL/tCA8aLxu3rf/o7kndMHhoq2+jsScoUse62S3+TRc6PWtwj32kmUJsnmvX2R00rvvApP3uEbtOantKynz196MosD0RJ/7rT7d3c8m07kVyD3xjc1RRSe1rviSA4FSglsGBxfSckBjCkQ6+gVjvb1OYBykQtiYGFmvxYyX38VVoK2e8rf8OA0kbdMksz4FDH7LlOThI8pMzATiCwPBGsyzr6fIkoXaylKN1uGUS1083qVZ6Istrncwof4q9Wj9jpLgBg9D6WQr/z9a0rcAd7O4BHwrqsvjkTuDahsVgvNPtkd3KazXcNzXCY5JoYv04eHOLOF9fuNSUmpppESaPtvcwxXUWnXY0hfGOehU5zcew4TGVWmMVWVOK+0nkXWXc0f5kdPKzZ0N6U8lhxO1cOI0CZM5Pjrzd6pa4dDe+cRNhOZASAsa59dlLyMdvjFJWbyoLWGklD0UIctdSHi//meH5CM/zhgB06CbPf4PjNPfZm46WY7Ot1qmk0dbVyNM32npjzPpBR0pHc2rP51mfumUsALwxXKB41XBW6kp2/BYpqZiD7vjEeaeNbPEz02uv7nK2A1gy7J9o4GNEzAwnfFk/DFf4Yo/jPP4Pyhf88i1eJw8t16jtpNuOi4pUbTBcFazuTludIu5zlA7G1rkrLZtJdLwU1d7ekmv63Y/N0VvVmEtCszDnZZ8ViXt6HHin6Jp9vy4PS4ck9nMcDcQlnpfl6vLrgXq7jk8Y0LkYf6mb7Zs4ba7EklYAf3Lzs5krPD9I3F1HMTZIHcvhdX1P5vDo9t4+AebTY5i8kPQ8fXkwt7L2qHUNqrUKGVOQwIfyg9PjA/LtOuupm5QZfyfUcerc4HeZrsHtNE7fqmtEzY48kr3s7RyTtt/CnWPvqxkm4VaUernwsPi6XZ45+bh8sD/zNfIoH412qe671G3yWW7WFqVuHHzrGPev3JsHsUonSrheXJK+2bIz+f/pHe0GrMdEWyfJm8MPo7fmSULT73WHkQ6NGs6cO7H6OqLISjZfmz0GiqZ6Von0Ivh1oCrL7KbEUGeSiMK93JbtLdxGRpeCIV3dCYqJLZctAEF3cogEgz5+FerMiTCtdasXdf72cYemDEOLPpJAI8GbiJlrrxS/Ue8IHf99WVuwz0udX7k5UfaEnmE4YBZbVKEDyyVMWx7HnYxHxa7MLusbXHEWvzIb4cYXoXpMpQ98LuUsaq7lmnvW29ujlbPb8DLOq1V/y4T8YuKwbHCPqgOODd59oR98TzKl8z8jjUzsihA6N3ONLtlYjyZh4OfCvwfdfsQoqfD4wHaDW9SF+cELmCC7qHWaHuIynPvO3PZVraiWNUxrl2yfw3D0CKkELcQGNW0htTSlpfjMs/u4Oizg8HcvWiMJbyOi+sKr9MqkqWR394qrhVVz1HVpsNo+xiHec1s7Cu/Mu87fFjtgidxEkBKC6qfJQD5P3cvVhv9bVXVTwqOp1WAYfgW/Ao2mG9CcAxOrT38zIuQfDJMRJJaMdsMdYB+14tNTIiDQGeqOj/rueRyOv7flWvXPHgkgDPudXwIHfpJ9wV1i0NbFK8MVJa/BWJ54LFGCkrcKtTd4US8tUKUlILWhsa9jo5tENmHp3EN6+ppSk/rNU11mY317EvRgZZSLXb42eqoT5hpYwvofmCeg7MC2+LMpN/jMg5lHXRm1S0WKoicHCt628a39+dG+5GO1LwgVMCGWrfON/DbVT/01JG6DmImw3ThJ25cXVe9iPlx3bid8favHQfycVocHJ6IkmS30uBUFUwXHwFAAEAAElEQVS2ByLYFaqEjpu9j5I2sP+iPbEeQwBujEKumzoMRs6j/DSm6Y8ToYyDCxpZevXbO9PYyztNq84mNxKkZabB69gIAI5P25Xqs+iBd1K14kyzgmTLNLoxZPUsMw2y5f/9//1n/Frn3/KwD1Pe7OhBc/BoXi9Ey5Qol0a7aLIJyvtZTzF1w3Oht5IvVFTl1mPEA+JE6lEg3d0kO1Rvs+u5ldVqMUWVkvrX5uAuVOMegJTpM1O6QH3pmjff/4dc/qbvvzRhujXuK1nfpyR2srmw72yrep9aNGW3LkzNFE2KgUYJ8/gpyKjCmN/e2BZdmsne+ARJkl95KchndcVsyPKS201QZG927iqoJe9eZm43LK/89RjsZDW7O7XX6YeaYncmf/Kk6Fk63yAda0S4HNVKXI/9YmDV36lDsZ0csHe7oclfGiNltZZVDmbS7X37gahfWy3odXfLpbyDevh8LKXe1TO8cXeUlv+p4XmLms4LjNHVOSepkOswufeugGRoJQMpSLGV/MpPadq80XPLFzpC6goEI43e/PYaKMm+nXFM2gvKKm9973wEGj1bMbDh7nBNmavCMALytsQgGOIhkPG8rz4Ems4j9Rf4fsUxtUCT9H10HqgkQPpM4AHlCsMasIr1p5mImFUpHb7pTlWrep5UutxXw/m/z1wp4wz6Sq7WUryt/dSsIqlGsqA0rAh69s0/ysNtSEAdW+RuV5xTvNOr7ChP9NvmmAkFW+Mdnha+l7z+UxrPDN5Oj7TbH64vWVSOc6IfRV1tKuvJ19ibvp8OKzFjQxdnzgXAjX0lB6ag6M3h9cDmrVOHlupazwqZ55nf1zRfqln0aTSXistWK2N9DOkVnrCNjQwfZeg6HHj0dmP5RKRVP9yoWb8w/pVZ6EJihyEefWTeTJbjRP3uJ0FS666VTQ4CQPI0nB/TVOSyuvNDPnKB1F2gm6eyrG55W5+nLT+EC7zwwrpTVD5zE89T/tit9niNPhqYjtozI4gXOh04uadtNE/W47e5Pu0Su9kPFxPv+sGrdpSd5DPcVK0srnT+hn84tA//zbT96e/2jt+332PssrAPqznXX5OARD5OXusneV9/yd/SzgxIgUIig5dOPgO3Jhnly4N+tY2PfhuLVYzU0Q4ln3+fgSsoiKCt5vFu+EXGfAivOmr2t+INV2BS5odlJUyrc68oDt9tp3df/cys6GYt/tqWh27UhQFFd6+AeltkK3qKsSoGnizzgu/04/Vok+na8q/dm6iiPB1pLAni69zd+iUiidqgo+Zyj6XUyQFQ9bZhdjWC7i4UC5XiPLzKrerU035ii9IJNGnJJKBC4gDPxH9+Bk3rOucyqvbru7ZYKYohvIz0og6byc88z+hnimBIxg/ZifGJ6HzCvSXkYyMlyWi4Mpy79kwwBh53xRWEQLVLGDC0Hr0UtlFHypJjOHLEV7RvNAswPElZE/ScNjm9IdZh6A8lWrHbLaAWlXzVcvN8csvgMvNQiad5l5+jwlogJwENkMb6sbmJuOOj0rYCOFXvvhw/2R20YzYLedVDxmyBT09Lx0/XgTXtk+P8hkSHZokpbzt5f3VZpofqQa1d/NojHKTjQ8KHSIAj8IqRcQqlMKuHEsuWZ/K4vAHCr4jpxE8teMQV1HMluziilK5x6bt5pAfQWpVLMUL2ObC90tlvEnXKANVNaKiZP3xO9bNosFFC5Kg8mR6RT32h9/rsVxopKN6jisJiYW8mHYHR2wyZh7zjr+5pw1WSduaD6BTgvEemxfeqm0jJvDUhamyrgDmvr5fyXpTuu3RjE1GFXly1cFLy+oWJUjsuOV3zSRI/S4immCstlOi9GcHLFr23fF11KC8QrzI9EbUM7BGEFb8fEJ9/DDQJKueWlLD7VQZH2ZeP5ZH9mOITZvz4zO77Wf3TTl3NEh35Lj/P6ELvFGYz9KTMyac5Gzlfp7ru8YlvAgzeeIBg5buywNZnk3mqxD1tMvEZOtInuq1utUyUyAj5IyrJLGM7U6Py86gMr09DdKjQv9s6Mshtty9aQOZ+m+FE4uxCCrWxwlNDHcN+qUJsemQPmbUA7JCvmTDCTKdJOwSRnQoBoPF2tw0IKwwREXled0Qz1gwSu/du4SkNY9nD7g10WGaO2lVWIfWtCOcqupsJ2e1IQX+WS6IEvEPY8swnV8qN3BwblVbz9G2bPGgmtgVdkpaO51XKZ2C2ephWeKfmTduymJ7QAx6e8h8sXST68VGbXj5appbzq0npmSaHgvQ7v3hrkrla6eUbfJC9k+uuUD5zb3jut3R6D8anSeHqmrj3VoT4Upk5THR0zqdHSV9Avg/QAliicgRWoZObJ7xglvL+8zfy17fLBSaWnrdFxJ/OskrIq0qQ39geLMgo0E6/R0FlSGuUJi0d9GozQ6MONSKP+3Q4LB3t7agHYnaN4Ov7MKoStWdJPV7DzsIeCYiPvtFJahO52zEZl0/icqgI9ILeK+XFyzF/mbcDhNFOvsF/N8Qfmqh7iO08F+J/u1S1Yvg6//33MDA5Jn8PYiqsWElR3eXi8lCgdhImZk6OpxQkqk2NuyOpCLqHKxJ15zAKQPlbfDYJ3gHPd1w7N2gxqdR/jLDCaRghDI2Sxi457debQQq3aYdb+IuCFMOiRmjM98J9pWkTtTDpP/a8FleI7dRzOOLQbhgoI5AUSEvS65HwVOnZucSfb4pYH2/Lu/elwW/OkGtKomOsHqpIbU/vm99+HAOL0r53VCfdFvwvz3SasA9S+CMr8gg58w39YRfIoX9Ca7vYm7o7mjOoeiQOurj9eqs9VMf5IaNapLhhHKMcas/jq/L9v5tyG50Cte52EZrovixqfwU16ZxLjfVzr0/0actNHKta/MkMYVFX+f29hOPObc20hd6qINP5SERk7dFxJL5CsarxL9i2ki2Cj+GgimB870KFSxyzkfJ80sa/L9QtDldn+Jzyo9W+F5YlGhCRzfNT/GWTKZFCfKY1MATDtEx7pmvSKG8cJhBsBrw6dMYK5F9ZbuuMfY3v0AO08V3suZRO7n5cP6cJ7AwdPBqZPmXrUyAWSzp1DhR6tJgWvz0+vvnnnPJM25brYeK4mCJhmu8bkeXZ9xS2o/b9g5T9GIyvHHbMhvipFrr9YZ5hK4aga3D0N6DLbmseit9codUkqX9Mv6kyqNWuYmsGuWm3VPDdApI/0+Byab0HcU9U1AA2aCYqaNDKrGyXrIyxaFH4P0AXefuWVLbfXzVzqdaFstsqIkLFMZy1scavkrn0PLIm43lMTh4Nxk2UTOkvZ4jjYjRiEvAJReTMlrLgMlTk48mHEZsJLU+J69ECv8bR7hbr8Xx23QBSz/gsu+6A374PiWiPgYU5/79L+nPd5pZFGk2wEIcLbnlkZSbnhVrGoKA2ifVewSypjVV1agIUPophP+0r+Vydx+rS6p/NVN4SfK4jfHZfdntYyswOJg57y3rbHf9wd7QqpcC5jTRQlRBQR640xHF8L11eBTuntbgrx9VY5L9Jdnsu8rD6gXRS1mX0STtb7W6UBSjplTWYZHshSVSPaLW8uHopl5/S4pgBNBnfHrAD0hD4FYeqwu98xTw/btpU3exkHiSW8vT0SDmruoZ8Ny8dv2M9xSKF39RDUuan+SFSBRtKg4z3bitvpS2g0sqjryXM8diDHu1jNiVvTqNAMjQRtL+Gr3p7F60zZB2/fo/taBNRbC1jq6ofwafx0MvdKnmWMJjjz/zeRQfdsRGPsA0o3euLoc169Y1jR/Miswu9XCqdc0Cw1MkKCNLIfvRPynx6+R9DYj3QA8syrr0FkpnZ5H3zKROnaltQ6m+Uql3bJKAC5kCmdNao/8WSES8y63h6HryNlirnn05hQqeVP2Oskd+OhXWv+wnlbc/TaoeVpp0Gh15R54+btczR0HUPtcKhYmLEV62FW5brVCeUNfqK489L1b7s3q9F8cnSJwKxGgQlvIjlLIPWnWIxQruyIbQ5iBgrJc0U1dpR++Tykh+IrfcwfMVxh0GI8II80A01qr6N6nIAHs4WYikj3D10KEN/LQpdPvzqSv7g7ns/vHeIsZ9Upxn9rvK2b8BLaDJAdVaV7ruJ/+P31SLGDmgxpKSR9Gy/jpzB5SFl4VQBOIYO+yZGNwmq1CcmgjpApR4uvQytYzHw4MT0hhTv0hcd21hMTmlXS08JOT/lchtOIowgAGjlchSz+acdgC1/G8BYSQBJepzhyOzMPbez0Ox0ywbwxfRilEjr0XJlmYcfrKpL5jTcnuyYGKlMbtdQ0r/PM1LlVQgvy1dIRNFeOPuL6Y+5oHOMfCI0dUdpO60mqEZ8aVyjaRupiBUcgy1r60leo0ZHgVy05SkPXGT5zCZj/qXvZObKhgKVKVXkmac1HLNrhIkO4P3Uapc9A22k28xy721EWT0u39m+iyvJFHeZIv1YJtFny0Xu6+90Sa/fqdCo9bL1UcY+JN7awnJRIfvfxj8fanGhd9kMEhb25/FPKJZVUcVz49TQcoSxUjCEglJWUIBpiddXVDUrc9HXoDrgiUf3RCs/cZVs1eZ9HHXn5JWZyqnaM9Vd5PIRdx4o6qN5b92v1Jn5JEOieq0OBTM8JFlvFa+NrttqTzNTPqwhR1McLZUzkiQ/UWZv15L/HsP3KW/ajvhEyemTnj9+xs8TZ41095iM3Ys/RTF+VPI3pfXb7Cffnyd166jc1SjFNrgWoWXiMP4MD4byi5S469ukwHlaNZtbzmB/cbdw/DWucrSuWGSgR9Z7thTy6Dny+HYW7YaB5m8WYmz2tqGLa98RcBgSYVulQ87QXlL42HADXeFyetSe8o96CvWhXYMxojuzSBairZqLT1+nCM6OP2jLn0vu5S6CsIi/3EBgfsu4/pLeDdt8i39MLPx2HrAjl9TYzPncaSdqk3ysJphOOTS2zaRjTYx1j9wE7PGDDqjJvezAoZRtadYv+xXbFW190alDdDP2S0FDlJxcsUpBXpKXNxHZz2TQSHV35lCpSCRXj3Ye9ZY2vxaMtVCYYj5F76OaTs69skoG01uYy1m7e7hncJurnIpLllbjUx5FJ43jQDnVgsGwP9GTV9G097VK9tf7JyrcujLK6kjGawYymYRIvHTY62mAGLpK6blizKun0YNIMr4FXE0v2yNRRHXvM/viOHM3aFT4SgLvZBQVYB1cPF+BwDc13aQ5PCqVYvV/lNf4urMQBUeYhAv7mZhNxr9ER9SM0x5fNaVQG/Xv0mdIpKgHO4x9PRW3ZPC+chv3QgdCjK4A/keno/8WxPH1fcFz5Rh1+/a1fOX7d93yQtNC8j8qKqekTQ+J8acKB3fXx/y+/3bQek+26Ol5WfAsirnJ/NF1OgKXAOuOsn1VPBtqIC93aAJETzqyu9VBIl8oE/A1qG7ZzUuploKHl2xxma1groOkx2+oxbePBzrP2Bbx8zScgF9XXXB5oiI908YCDZXpqVKevM1p/G/NBd8rZUrd8cRB0EnYCRL2VMRGu19UlWS2Bz76IP3Cwj1FnXL0NNC50ByoTBMIDQlXsgHz7cmaMKmfzLlCd9dzmpKL+CUdQCcuiXpzeRjlr0stPToVIEE38lMZK9DrEsEVD3iVaK6GmimDGJrRx4m4s6o5ckn+6rhrhXHG9ki+Sk3WxpWQcxcoXZD/9sbr6H5fx0O7ZR5k/tI8JKw/gpzqS7h4g7Zq0CloLBcOYvIjuUoOq7FHX8XexQp68bEBsyEPqizuvRrw9ApyZep6JqD2X2naxQuaX/ATkzBVIGX8DNKHOWk1DEhj4KoKRXvOYp7AM2peHCq/iefFcgQIBrHPf+Ei1lBL3NsTtWk21xOvbtmtxIkzCPC7TyfupEqjwOWUfuauI7/Mc+UF/0bqt4OkmdAVOBxDHeB+mLrWjXfsN+VGQfogEt0QPyLQDt6Wl0lLq0z3evE580WKhg6uYi97n1JI+UCSbD0wqcEP5kSdzM+3qWb0af5Fn+NNtFWfNL3qQmOTbWVDaM7nG9NReQEVqfqZFpFh4GsWEeIDW3WEOEo3ZIJU40clcUrzVGviCjC/2fjMzW/NumjvJhMJF2ss8rrI+GOrNs8VuU/kjJ8oW4to3c1OQlX+YdDzTCAVAcVbWERCFALqKUteCorFwJ/0ji8G0ix4Vt6WbwDytEN/ELh/gbjSAwo+mzaX27wS7WbtGcpAeHVODV3wKPUf0jdK2qCM9+BWHPThq1ZXaAcWUkiVGNL/uDSC1RWg29UBNLVZmrfdgH5xOIReoyj1cZLmssA31U3mLUS49O290WdOIR3fOk+s4hZQBJeJ9GjkWxq7ybtTFmaJdXMZP1USLZck2sFRhlIoZ0QT1HPNzXsIItwcnpfiDf1XH/FkeYb61XlV1Xyi7L7bgOAeyW2aYnlnMa8LaQ6AEuY687xlmCqMQlfBWyC08OnQujA5U5JFHTg61kxmIpEeBjXzNCqvGb3Mo9Pxsl6+1rQasdZHe9JE9Jb1cgMioSpTst6X16rQTaGd4ehaUU9KOIDDuHmbmP3FxVLcqb3jAnLioV1p7kuDvJ0PEbYJ2VbnPWC8yMFiVeW24QFdPLK6DJpCFZJ/KQ6vO+NI3kVHJ9kIShcsxRlSdadcvpuLuN4WJW7sR9/kHUwBsMOvuce3GP2xLxPQ7sH1jZbVWDM5tfvJ36Jo8MhO+wEulD1kZ9HBy2RZ95wXBYRco6MwLrR7UqfoyRcCx8cO1xJTeB+xH/xb4FmdmypTtnYao12rZFlnfqqSrK0aiK7Vz/A0nX3ILqLbp7453X/A7DUbXcPs4j/ZxhyBKXNzUY6/T7SZGrTA+F1qLk5N1lkVeKye9mrk3XVW7/v7FkGSEvWUq/G5w8djo2iOGto6q05zwnYxm0QVO08pxEd0xzB+63wcD5nvq32anhHzlJob8Liwpo3VMhLJwfuSBk8df+RI1XKNqo3cnJh0591lIqB1T8vKqAnjUMPTOzhMMo5+W+Bm/qz8Ky1OZWFAEMAfYFxHdhRHEJJufXxN9li2CwJkexCcJC+Rxegf98vvojr2OejccRx3k4Z9HZrYfuCQ3/fqoAKtQ6+Szq9DBQMYtbuFzFdJKL6NwNdfmBqNzRakWJ9ic5R2GHAzWs/CgUg7dXlFFfTAGh20wDrgI/WaJB/COsG/FDrWG0Wsu/u+12N7oZ3aRknpNiJor0OBak8LxS+w7UBZETG+IWUXqxRf4iGfYaeqLsF79SvplNVDbv42wR7HCczYCn/c2kmH2XgImG9DlVFOD2dv86yWF5xjdYoUcmUsvw6vSPcl6nH2bdaiXPQVq20WNa9iQEFthVyLNWypnEN5ASgmB90TQxai0pq5zTL9fXLOoPH+o3q2Q3/OVVGpa/MfNuR1DTfLV9pQWU2WCbQxG7WP2M0L5rTGPy7zBnyy3VRid2NGsMDvdG1VpGmcW2/EpOxqToGW8mvfhBCtNr3SW3xue/O6dhE0x1xB+TjP9ZA9TOI8PZ8U6S0FL22qHN64y3eo1+33PUUGP9ZF8yabJDPFe5Xf8jAeD8sx3kMffLA9ZPJwgKBp77Fd/O17mXA9sW4AvyYd5VCRhgadKJ8Sw6hO0nQPC0F/+ZvzHBSpSf/FeDcPNNjiJoxogeR8aS0fKB1Pe8Q9if1t+7jCBKHdrCa5366rB83mPslZ9MxtpZRs90/tkMr1lAkUXwXcyOScY28TvtO18JZPTyxaKjNzrXUOvb+HmCq9m+Swf/ADV1Ph4uurblXCAUSUt9GlJnlHhG3rfYgAWoF3Us/s4XJEEwcNvEJntYVH8Cd9KKFoi177xAallmARyO9UvL1v/PAvVCqrd1ZzkhUXYj5PXDcNrfZtq2j0Ajjaz/TSDbA872o9I4ilYB6v3d2mcB3Oc31ZWnlu5rRt64vTbm6cf7JGzX65Q/I/pqqaPCH71Azsq7kbFqWRZyu+zXmSgCzcPJyVV693pKE37F0s82nWbfQ25l6fbodEtnIZY/Xf0AcnBaT/we0o/HqjPOpI0YbOXFniJPsWDkUMDWIMQMTxde/SUiS33+MrX+NnCEslBfK1+rrf8RlGX/0E58MU8o+QUZSbKoIxIESduE+hofyAuagz4lk7+3aEOZzattwvfg7sdbPIFBbl4PthAkjw7Y3pl/vVnCipVdk99/Y2XZawj7xSL10Rc5iTYLnQdtJT2FBc5JKXPtwJvcOOCwthXiF4qsFRZrSWXv288bssGFbGy7anSMpvYnteN3+pYKAMreS2I+AFrm1hVVWVTF5K4RpmggQRe8jSW1pfr6UnaS+A5EtF20ASqK2Mn3kKhMoIaNIj21rdKZzyi70ObEVPrNVBp4ONHZzGYgmVExC9tZRss4XWUpabJNOtP94DiOW+PUherm6rqWZE2PvOq61FyRFJnlSTPGVxjtC6kKzkOvWy647Q+hMXWmFxlWt5RkfhgIDdXWqkxN+4ZzN7k0iKHp0hlWzMYWEXaV/jBkIQQ0xlaZ8aJijzaOTJgzJaFwWKEPQZIRLiB8F2CYOadjy0laIZPfjGtsRr4UniSXkyw2K3F52DSdh/1hqpWDxGpqJ9+oZWYPC3TPCFJV2RL7P2My2SGtuIftVawnOCs1TgfFW12K9nlltVHseYJNlyfDn4PiF9gRPKqYffUse46BoNr/LVL6fpvVomJ960i5Yj5QlKM716galtwP3Z/TX8YMPzwfktMp99gLJ8xlel1ZkNVWK2N+V0qnBD1LH716sjz4SLeqLUyjlbwWIv0idelRyV3j2kuJJAHW+SjPSAbEsG7A+LHh7Pfyx1LcB2PB0iBQpuSzzKif4mFwDdiaB/UvryI9FVJVJrTfuUSW/HPvSkfDou1vrKpypr/E9lYz8EzrVZzF0xuHod+wCHx99fPghhRM7ic7cVtB2qlmPvKN67EqDV8L5eiUDK+dUin2ba5FnR53R76nTFbBewROyW4aG0/pgufilT2+lf8zQYrb5vJCv3HSggClETbfdQNHNfHj06sVe1qlDhGKhi7jpTaacdjs3ZMNxpXMSCFezkvsleQyuaQVbR9QqiKKLcRibwROsNJrIy7itxu/O+oyEdYUwI65QCPozDb0q1ROnHpXQJRpodvVDNIPS4p4amOCl6HoMXUAtPYUTsI4CUi2ZQ93nsmKTDe2i52Y5oSstgJiMfFZG3lY3d0XQ+chYvQb8vcGEpVXVGJgW3hVowrlBxaAiosPoXARx+lX1O7F7W5+XhmTZWxRImAfptlsdnb3KMTacPpGtkaK6qUge8ZDmfA0fX5iqLgFKHTwg0O+xhqfbPFUjwnxbBJv7AQX95yqP24mPKYG30phj6ikE5mXd/Wy34geqb8tduloORMTiayMWJeJw8lYpxZvs1HpdtYSC/F7htboBuiYZr5aSvehrwClxpEtYSshpIR/OdD7nqArEqiKjFfyTt5vXpjGc8H4sVMwP/vvWqwfQg3hVUSYvxG3op3JM/Uv1loBacPrZW2zEzj1h/9dWf4ADuwB5u6Mvbq9n+erdumXYobeNXd01qIvM1Wb5aL50+tryHE95zEUGgOWWtWuTjrrNiGW35zC3nrqs404vYcsIdWSr81v37yc68BE5UnsAOnkotr30zDJEqombnos71hbFC9HkABa6fpPZGhwd0YDiNstfRJOjZ/lxrrhk441G38AnB5C/K2Vc3jKX206pspdDxVZbV0o5in3vgGI7wKV2XTnO4FcMFltby9Gx4nYRozsEd/EjSk1Ntv0nSXm4NgQpnCjWPrJ93JYy+MLWhskcTqPscpL3t3BgGhwnydl5tdKODfIHWFWTNm5phiHuu0eR6jUfTCa8/LoOD/vIlnJGgThoF1baFymGqZDeHF2+DcrcMjY/avtQUXUO3yIKEESoby6Mf+8FUL4lfzN6e8hJFv/y69s55alKZn/bRQI/+My9Xwxh2oG000ARMk4s043lzCdpqVQU4bIBpWfxcTyEXAojLp0PoX8xher530jnW+8mPZ0junQV/r3NyITQ8iY+E3s4qdaYqSZul+eHutWH8fHmDW8Y4+UUZZynCRd30DzsBl7XSdoi+xNXXTGgmNEnYRYvb8tp3EvlhQW1tWZ4utrkSy1+TohgWP/7cZ53odhR3wG6/yTGwyvG8rb3r+5LEecZePZJn8OYrTlVbJ0GaMojDJK3zUqtv8rR/bV4sqe9zjEoZtt0L55Kf+iMcIgfWj9SH3+E5+9FjpV5FXYKcskpQWJXJfCjBbce0+Mx7UYVHn9JNHgY2W7Imm6bhh8n26OUXlInQ5UAe6nMEyp4SFrOzaNy55v1K79BMKCEsEyqmrY8yri0idwmdvva3EfqDWKiuRpGfqdhBfoGsKiSavQvXM006aiOQTCXpzaDbvQtMnbwrVaM5VuJ3X4rY+MvsHbyagpqPNNny9kgCkvJqd+7kjtBtq8PrYbYdT1TwHmF+5427AKB8ehN9jGkdJlTZ+DdXVLYJkjUwyw2DRwDyl5oBbXywUABU87YQ0Np378/Vz0WpAS+zXHOF8NibGjXZD2VJw3+TPRikBRXVQXOonyulv2hmON5CWSJSq9VjFyAWeMLN9GZGNkoy6UANqKhqTOlIY3fWdU4C0s+HluwjFRRPvHn4nQOLscNfzLL43u0WROVARa1JJku6LANofa3YuDT2JXz2GUrI8sstbVmdbVngHEL/GYiMo4L5PFPd43aaNnVAglX8lnz37TMRESViLc0l0RymgejZIhUi7zAMA1ovi4u2fN7qC6JYQ1ZUv6xF5ODX7Exj604oKNUpvnyDeUJcwpxvjUBTnY1SisFfN8/SPE2NHYVY/nezq9XzZbO07r6jpptkbKLp/arQgBSn8HUn2V8wZSgYvkHpSTrm7H/Sr00QuLEDyeraYhDyFVSedkVlyZuuEr4laIWK7XkhFOWzpcpCq1xE9dvHY0SmltRxi4Lu5LMNKPwQXhh4TFDAvevd/Ebvbxj2Iu1sSZqeyeT1Rno8q8njIay/9yGLIPksNV0/DpdZNEKeLz/xQCzN5EoqDUQnBeqSp59Zi+2w7VVfZ9BOa/6GirtYVJKo4QBI+7a8PAiV/KE1lrBH9yZKxhGPa5aSjkq3exdKSv+f//u/Vnp843GqQUaOHwolZeFKkald6Cl60pLwpE3TulgA9XWjkpOnjTtrS8jIaK6prFrGE241DLbpSfz4FbpFSegARu1uz+FoTqauJjzpt7c6o/7sUmr7T/T/bHWmPQ32Huk4bWO5BwTFbGDFaDhQgMbI1thn6SLfXVHe7NwNScbexQAUDo0ONT9EEBW9GrXUoGmplebjXP6IfmSYfWWlItb6YYQdPN7BpxElOH3xPjh/1PHeH9V3Ya1ZvVfDi3Z1TSn0Rj8RB7WDHm4emyCNOu2JRtoto9JOC/Gzrc7Zjo/eKEtTax9iRL6pOCVNY7lOXI53e6UZ1jTHjfgD6aNOQL7/iiRUWvb1PFAL1z7UhQRuBp840uiRX951/csdImkKFpIF7kTrjB8oLvI8wWSleSBo/C5DwCTx9ImFr3/nYnvS2PPb/P1f2fED5X0DbtJ2cLcETavog+T3MoPrOrEV2QeFTp95Rw8ofWnuluGFjaRWHf3tW1gzNX6F1F3H3Fdx2ZcjddkKMNm30k9xsanyZMb61F0r8K5H71Hs9RfwTGaOXE4P1WXfCD4C32M2cKltsBYvI71EHTX5dAOZlH/kqeyEUL1RXXtnhmkU3XKvN3mK06bzEJE1WEQX9qhdmG4j7pt2zcWu9tYfU1Dsu4Vbu7hY4GCkjB/NchjzMdvEWy7PFXfeXc+YH9VolVV4oboXd3oa5jyVg4ZqH6ExSqO9bVFwyFDRc4TZZG8sNV7lpyPdW9zKr9uRf8XfB8CMR3rv4mtSd+LRn0y7BbvYDaEPGw+6bz6FVprXcbVOeBlfQUiobwqgCTiP6ImInwWOmMCB7JWNr3b0RL+WJT/URJQtNzLEuwJeI1pFzajdMpL3zJ5n58nIevP8x/Mga3EtqawaDsDyCmFfq0m0Jp0rBsms/GJwvCWwPNEv7ZJXM+cUstLchPhfwm/8lfNPJEqhdmPORaYefokG2+hv8ffCboLCbNddWInXO3ffbfzRerl79KqlL/dFbTIcHF6rP0DvvCuK1R+7VEzP9TA0sqv5IeO0RUC7wScfz3/HDwc5v1Za6bmyQBv/eDePTFgxDmYUQUMRGqIdusO36BE/itdOMqncTLfXwvoeJvnCFwjS33/3JVcpd7wv0hFEB7jL6Bw+/4sqxLbxiRvus1+0ISamv0JZ6+fcLa7JNBcDBtL5QA5nXRytY5mazu+f+RxVbo/vK0/tn5aSqyVk/5jVveq1n4N2kADZ8/PjYYfGRNXIx56b0yI9gg665w5BYSlHB28a6t7V+64ef/MrbbRtzhnPll/2d6/+Yb2kTefGiTyJrZd3TejuFV5Jfs1vreq91ZJXL+56sucIhgLsn9FLtCUVOZR+JN+3UtnoB+qXiurT8Ch+1YXFDuogTjjpR8938ltJl0okP/iPKLgyp2c1c2VC3FnYHlnDPxRMgWJE81qxkDs/BepUVmthsvgYYz7PILeZ0i+y4FmITHRpBMGrq0YY46HVUyILBvbPMGnKx3/yCuiop5/G8N8zYz1FcTS4OuSVJZtNQbkPdruWIQ+/gAm62bukleJ9Ae+Pz8OqXFJptX7BNSOaXwmQk8JZ2PqhJRw9PRXwuHA2zx4B2UqkLh+7+0bHgWU5s5LY491hTrleOcfHtsSSVLyhg6gABnV8y19MLHdIA/ukFTFIXo+u+cMu0M0XeQFKrqyUIOfaqULe2LfvjSl2xpVPdB7LHDHqrTY0chI2WfOzHafYj8w7/angtstlQ/c9WBgCBHiqhTEco8ErF28AnVzCUXYfcyRzBVMbz1LevfDhSzzo6Tr/jcIwTxp+fuYZvdk2B5u9BpUVKTT8NV8R/HyYFngU2cIY77kboU5jyp+46s47r4OkIzdai5/+VbnWSbGZ9JzKs5fiDYq1y+DPt06x9MiJnzZO4C9WazaeeiHi+zuIhlvqRTZHciN0baU7rMOFX12XKxAbC+LOh/DVkpyV6oV6AnqQrBx+bxb8KtJW6xvnMSL4C3kyT8RhCJbz7PtbsABc4bjx1R/Xe/ZR29FzHJSJ08c9St1/8c8romNCX2BuZVKiDUISj25ZsuTxScZP3HArvxKXH90/ZVvSdmQLQ650rbTiGzp1FStzl35vqL3jNbxnyoTzAoQa/4t/unrawuyxo09vDzY38OQRnL9yis67Qxfi0R9wdp/LeOfqdu4u9PjJ5I2JBdcp1xe67ktGM8qPniKe4d0VV8riLdLhrznRRHkQbK5/eyV2lfeV9ld57Z8HIRehPXkSXY/Y2G30EpxXQpMRn6PguZJvPGqs1ys/mU4WqzCugiX3hbh5BKq676BfRVNTh7QpUWy5BFnlXASmLgRMIiCjp7VSvzqOLsCRaTMez7Gbvq9SBgvNaIkIt6IwiqxQb2iUfN5g9/h7Dygn41fGFd7S1XP0XObEvhWPyGLAgmKliLYPYiVTU8H3b0/rPHOuVdbvso21XG+NjWCroNAe0AgsdKu4O/1WtI/UIQ9HAz5VaGjRxSKYN0lzlbevJeU2LHbhMl5I4g/JrO4vbXOQ4nL6pqJZPvxTNu2rn76yZLjKPr2Sv/zdPHqOF/fX7n/I3/Mc0lTJj4h3pUk+JrdkMuP1ZA2ItNmIN/riBxAWfKeFULf8yD/u97x8BQRISyT7HXUUkoyvx6yiWMnzEO8zX3fPfk9pYFf9A4SgYME/rmnAP6DTzuDi0AbQ5N0OJ6qp0Zl5DlDs5TsVRb5qmO9YfQhnI1yrCWXP16xW+fTkbC44Rx26THMhjcPEu5OeU1LIHJ0OalX8T5laPKkvmCNQiBEl8Lo0vm5q/Gd2lBJKL7kuV3teIRlBHbldoMJMtyztcUAi5UtQimoRB3+pT6Vz02ChMkBV5FXur6el0m5NliQ0VqvuK1mmUbMdYr++mZR7vrreI3+3Ac2FtFcQn7yJ5h7NbnQIB646mWWvp6OdjyoRcwVycvyQQxDd1CyxxRYpnpGs16UYoQj4OTC1RMYi7qWFYMb684lsGOpYid5pjh2htmSE2B1PrytH3r/HmiPIIZzze3UjH5bk4tZJUGJAj+RGlUh0RVsFgtPP2Gpfblu6NecBxT0nkx4Ly9nlvOsSnJzRlnZWRNh35kZ+/ogsSnv3cx1fw0l7u7uP1To3GPJ+v6UmpH8ciSym0y/0TCvREStg3tknwhC6yw8fycMhnCuTuGtsfQUkqXMjWFvhEpAhvkZdyTKb3c1niwVf0KLn4jQeh5bq3P/1DKCOindAJXl9Ax8MCR8UJ6BY/h6n3W5Sem/oTaMtI3lFky7UMFfLcluMoMparxUXLlTn2ovZnppYv0BfNMcUC83iX44wOar7PoEOmy5g4bVUUEuK5/3KrNrznA8LX/4KG87HSbwoU1VGgGgma6jCuUCIl9Icn9GgWZnEXYvuDsDfUI5tj2C7pp+tvZDTPrWWvoP34jPg5kqlIjdXeriCKy4i6rab1DKTKuw9jdyXCKZkDI9/ZvKiwyGnjnBjvxFbX3zsTQU8F1vmIdD07RNq2q494Rf4fx43sCYY1XdgszSV84HzFvQf7xxHvm5NGiQszAXJZotUtpzVFJk2muGNL1Vlc4R5Wkq1kFR2sY5irB8Fy2TpGTy6eCfNq/1d/G/96sbRSz080a/DT/jBrBriMMmTR5z/b8YjJ1vvrNc/FXqjLMNhM06JA0WMQkWz/UGx8u2daJzR09Zc3w+HTnK0s2lvxcj8fQR6wbyTiptFt3ILCrF84f6VLQVjQlBeGqhiVPu2gG6ddny1+9QvEK6Ohdzmo62uZN/VZLW/NfAvzuSAvVeKH+VZiM7MEspulxVk6GTVzvsrpJv2y4RqrJf4t0wk5T312i5CeAYvS2v/3Vfe1SZYZ1l5eIElW7fJX0IxuB+AcpLEs3R4+JNQRd0iUOIXwHEVzdjvW4xFTNyPvHf76TpisAxfJWXf8eh/ppXqQTb+YkkELX3WklYqw/faZyj3zR4ImV0MGmscm4daYfGimt/dzIP6pyqs2IG6r2PA8ALT4Qh1GmvTDvFXug/o/E3sVzdQzafyY2ufqZpY6rzN6H3wA4mY2Wmvcet5KI40SjJwKvXIOmJL5YmWoyTeI0h4E3QzzHFIpQypQ1k4pAInN+WDq7K0NqnOBF4lOuzhR+bUm5LmXAGIqg0ca3l2OoWTk1pSEpT1Ycjb79z9S6/0HUoANoQq+FNfGWNY45OeXVRPQpAY4hGSmQyVYk66n7L392KBBwdNaAhFh6/XeLZH3SEgC2+Zwf2LP7if+9/xgrzXeMtMff/7vfoO83YUWidFqKnJ1cFuSCy+3haGnfKr2PL7KF/UluuzMA1UEN47psY5yt9Pb1RJwnJFhS+oJvAJXaXkJdl+9e5HyJTa5VM5cVrA2ZFDY+CFRaP66Di1gd4tSc86F8EXA62BJ430Iut8GLtoyqYd42l9BrPP4E3aLmJ7djFklM9HavWIjlF0Rf0T2opzaL7YP8oL+vwda+Kf/tdTTSdd1qi8mMEDe3+5FW1r7TmSU3/N9Ml4ljK77NXp7mLJj7+xBaT+NRl1IT5Il0P4WtKYUn+ntkBVw7DNb4quL3tYUp6aXRDPK1xG8jZHFrpwdMjrpXvm6+Krb7OiLydiUr0X1BWKhNqaOxkr3+uRhmU0BBYMYWVQCqGNYOA9qBalDgtq11sxctLC9vIPE0fP06+ZJs/oeJDyjh1qRB1tGnvw7l8LhDTQpGa1P6vq269nvgtvXYpxU2ebShNWoLBGkp4Pn/5bLy2r7zDv0GKtsmketTgaOpnEnrRQL8EVcGzjDjyOkuzOq2Xgh54acZyBQTDOHFHms6QiODnxPACRR47sN9X4SXr1PsSCmUtfJ9DKvFfkS/59Xz9issFurvGxO7A/30Bt/huGzOih2p84VbcUNlzo5O8jsHL/pXuE78VzsHgsLeg5D3by0gRFvEbm5e3Lmt0Cv2JKn5kuT4S2kHodxn5Hv7RZ4OP4VVMVD65M27qgFelTQe3vPIx6sIpntlPpnMC57qo1WUS4HulFREmqfGbkHeepBgmtQouXukvw4NwgJAv/s/mjFO1LxQAYuh/OVdu4svcFN9U1oyEFnZX9tqzdlpulyUaSl+GlLsw6hqhEyN2PdEZ5j8fl3/H+bPmpUUjZTk1e/nGaqZq9okhThwZRUDy8ubcxsqzTFA5SnT6SoteSPJnlJ3Xoqemjx16fzzEYqtJSeCg5y2BoLQY+cwNfk38+3/v10Qq8qLlq0ppZChMuaP9+45nvxIvag1ObY6ZIyNDiKG4h+dsPyBy2HzpHVoI/lfSS6vTVvVY0ep6/yAyiNO2Yu5xpS4Anyu3pSLF5ODA5F/C/olwFQBR/erG1lHIB/26oWkEUiL1+/ku/hyTcg26csbsB3L52qFd6mTQPQitjB98y2Q9wf9NbfwvoqD7LfqHaGkc/am0xth47+zOx33Gs9TPoCttugXcoj5EdhtQUpn04xQwyQwmrO1LG6z8ZIZm4uD1PpxnGR5hWIeK15J2fS1GCvJQADQNut0aa1aT39G24eJTqzl0yhTGlD0VXaCsVaVb30g2NHU9ZX/P4oyeuWKTXIOr47KA+SMXQ+KGVX2jgsa1nHQ8EWnsQdUXpvdmjKo+s1kp6txl0JQ2dO9ubvNf4Cj4hm1e5v2kpehfs/Seqam8AJpOa8q51kTRX4Z1ngFXy8ykO57LW1znhU4llcrODCa1qs3G+DdOR9C/1ZidDMULnAl1Wb1XoYvmrStPqMwUE/roY09wXah13WI56dFcvXn3SZWO3QElV4flKJT5ah5ahnifDYEVbIUvvAIpraLueBza6M2+JoJvMjkKqamsipeaD4CipmUMK7BOHsaMZrg/TooL3/FotC3saz6+SvG8ng7euumq3UC2wW+MdKpZ+JaJc3+pongpmWoDLr0jrRSgQbW7DqySOa96f48Rvrn4hDZIdv48bjVDdDTfcyODSD94wubaeGcmvUcE1l3eEySpfS4ajkCclmlBcnwJ/JlWhXc2RoQLNYfbW9boWAOTGnM7U9r6wD4k63LpFjyO3JVW6MhKqG4J03p5QsmKql+J1FJnRPKVSUWV23b5BseYy2wSn5h2+Px6We6DwHEUKN33tMXvyuspqWNHtuKtKlObNMRX9EY1ilfVQL1BjrPQz/eR+z/a89R+PDdr0PULUzSL52in81D69F9jOIf98Oji543cbxdNuKvxlP4ACSDgJEhP3PDvgym5Mu4oHd3GkM0WF54qNk+2mMR7AwGwYZVVxAg/W9yomu7TiflNiN/GOtXbeykUsWa9DB7SN8NDl7aUuqdMZbKIFKdSAi7tdh1XaxVTweZtZvZuH5TYjZ1FNVgmUHz+807myYDpFkj+slt6DphJSjL7JNTCmdufsV2Cp/aZDcJvX+pEoGN9WNvXaT+rs41VerknTSf+B2xz9S1IAOyR/Q6Lt9esfXpTppum4zxT8PJH4lJKWgSmGeSZ5HrJUq52yHZ+k8rKTJe185tG1hANbNz12+6nm6+22PCRxFW5Tk/A3XTQc6d1yvrddFZvcHAPeFUbS7tLw4cZ11jeQyoU/q7z40dqsI2wRYmH/771QDUH58sHWid/47TdTKdcyDXOIKZVp+guj+ibmCIEbKe9e/OLPu8IQkJEOCjyNybToaaYFaM+L/xFTjDpQ1Tjqls/9SFa4N3CJ79d5Pdy/VzGC6KfFQKfThAJN/aKNzF/dJKvN4b4eaXRcNuyJpYQSjW0EXMxpvAP9845S4d4rz7vJ5tW8HdNKZjTzWtELNxH7/6fq3xYs2XLdShCgeaofpFZd/v9Hu9KN6IcBmkelpKM8e0e4r2U2JwmCILivBShiZgxH49dJxmu6QJKex7u+Dih0xdiP5u+S6W01g8KSCkDywy6AsZ9nX6aWKtPbmA2Fc0BkK3VXXzIJjeLlXTHv5Tdu8aHzXuJcSuZnY9eFHL7HrIuUkm85IKXiuM37GC+2nLCnAoavX1osydMGX/AZGAbVmV8VwrnYC0UY/eRx4HzLoY7ZoAKwI2AS4vX3W/jgJ2ki3VOsWuEb9yJWrlbMtx3ea6zbV9UtuSy6OlNLP4A1smQOtyiyPXlgMy1PrVCmk8jkjrzNv1/O4znRECZq0buYmw920fyzmuQBU9XThv1H2Mg++rqnY/oh/M8/pblKBzW95JFn/7RkpcaAY6fUzuGQc+I1F2lgKBx0lCDDxKw5kpLfHDXBX5Ci+IWAAFHalNJqiKKlBaydvNaG/ccqNPYczuW63XchIdIyZmtHXyepjxr0E2FQSumeEEjg0D9SNqawov65/orE2i0bv9EngoGUtlSQ8kXqwQ++iAG4riudriwIYwT2e2xR0z/m0ysHHqP0XZCU9SD9+RgWQreDhHBw9MwPM3bUlpowkDexPT/UYzzKFhhDQcPNk4+i3znfEcrCk3bujZ60rpL1dBVLqFZIM3M773vYx6Dw6Romy8F7KtLEaDSWAHrHEihqerQjA7y40jVGfEw4jPuUPZAS03EAdwVV7m7D6hrB9+X6PGckwRVNJR5ltmbP9KYO1/NICBRt71ognCkb2pkD8zKByO6PLy2agBqnrARokKNFWOCEz8gvaNw087bprq+rzcMZtg9cJDtyj+5DP6ocrBEpg81o2F9TW2+avTlCCR4MbRuHxqqkkifSI9oabeOo5mdApHuT7hE+4zrgPnT3XFA1OMR0MOQcb5iRcPWqkr2jZHyR/SCRq/E/WLNGeb+D2awfVcBj5ltKMb2FIAS7a/sTckB80GWb132xbfMNhUmTnSSNO5vyPB3XSxdCBkJJlIZuAiRGtK3WCCzfC2vAOB2YXd7N2eSl8rb0/O5vZD163xbWa692woqVdTRZqKmN8rSPxjc+ErAoXhjpllyXPyxaRqp00Ot4FzO7hqdWinnoA4zSKL6xKINAsV1xI6tUvixPA94ERX9/75z4LkjpeCcXeK2vKag7hy2zdZ4xGBNdkeVPYJZLL++M89JLhYbj08GwFlDrJPplSUqiOtEOL5O+qLWg/nV1Ua1LiAB1Dmbv040X3lf9pflaGiOnPLZyhIZvtv6Lye7ydzmz89rP1PXj9HIA7I/rPDMYKV27O/dUMUvj8b5EahTeoe2GZvhaNXsl1+3R/pZKX4blPH05l4ylyPPAG3cWIDx7UYKpHLFOANxOQ0K8VTPnfMFCRcP9u3/P7D5P8mp+HXjabg34kcjYS1ry1bx+uFoTyyzQ+Jq8YJk5zIXup2hjmlj7PTXJ4OxgeX6eeIK2WHrt4vG/CXZpIBM08x5Z8tLof/f5Tg8HmfEy/aepNW8JJB9PZka44jDP27/pyaHnhaAHM0UePgGssz/6WxfjA0/QgY/cJSyQH3ULWHTWNCxR7ICm/671Umau8sijNzhV0F6ahJ/U7q5a5oe2Iv9Tlc0g7UPq7Nm344mwY3GS0rVcOjW+tn0mWU87rsnW8GIR4qKo45qVGtAebNclejSSuebWMRrgYSPsUBp1I2SXsbuoz1OpSBtAlifvFNPlpnDSl7ZJ9L6iN0znd9r3VAxfx48b+al97Ds1wDIa2H7AlDNgYlVXOaPBYXOJgN+ojnc6zpNK1wdhR/TUy8GuhymBrZ9dV7z2+EYoZA4pL6aWPlF97TKCE3KrErI42GA7IrHtPh/Nk49zTzxDGegyBr7IJ8FAUIMBvcpnlWu6k4oHw3V0yu5Ut0WBvfqHwcr+Fm3GGevN2WprcyCm8G1ZFMfH5ifksESHyFN0caIsV110PSv4H0nrl8+cvFQQofLCkapzS5wdC4+JTTQPaeG5FkRYVdWO8hbSUza0eaa1hnF+TqUqfiypFDzHdvTw2YlatY7R2zIbQpvuExSxjitrxOlcNv+UZafowy5hFjITb3mVHUHhUjf++/E8VRHO4ajjJMoB7tRsuhV7JNbBd9VqjosuRTBh1ou/zCG2GBil1vV31PxpKNvdP9MYUi2s7Cpwi8BkXpjCdA4Zi8jeP6F8JH2r2h76fIQDpxMbJ9SAv7AGL7uUqhk+Kt/RdphI3vUOlcaN+pzAprDsT/ao/LnUn3Vzpg4SegkVq6m6MeF8p/1N/LWJCt7SUdINXVcQ0YaQiUaa0e1vO7lyrhJanVfqpgK/dq5W36im1aVilH9EptnSrYj2W/6JzbqKCQvtz27oRubMDrJsReZL7kuDpvVnhSQPo4BWpNFtmZnZdFpvOscT573GA2w14dSS3tfrbN5X+9/N78tTyJ4I/414cMb8Pk/Sv8sVzttswP2yJv9YeziQnwLCw+elvhMl1aXKf8aSfg9xAX8Gl4K+hektQCor74x/Fdf8Jp1T3poiWRGTkEcwc4qaoXaX4eNk8NRt2URi3lAtE6sHZEA3Ir1enUS9q8LFdDQ131SqMHcQ7zz6jiFotHyNaT89bDp15LfScaeemDAA3bmRI7wO3ebU3qDgCb/2Xo2aoaSTrSpl89OvXpbgMiCOQerwWseQcfUOYGEvl33lEwcg5dLfw1Va6aFqCDPBvGxOdZYpx1Z9f6DnS0vSK8/Df9Xl3PbZoAA7S1Q0pnL9LkbyPywvFJSApTrWrKmUMBTyZ53oW4Fwwa/9xi9ODwPFhzdvRg/Bqe9RrQWWAP946Z87V86+MO7j1y4m5J7MWZC6am6f+YZu7nQ9eVAZ1egDWU3pyGev49phl/KhKmviBjk02h2i5/3P110pg7iFEzHuENfvKexBTZRPOZlorfchGi0xX5BA2c+kZDLX9o241rj1kHpPLZgE87kiHLxwQBSM1UQa6Z3ELofgQygNDSI79+UDa/RygkCzaZ5Dz76Chg/tbI7Jc1viOiBOC+SgY5XnH57oKYYgH9Orst3vyFyV7dUuZRWzEt9b0x+nhT0QoqyPXW+FEnpoxVajxboBRhtjlPdeUUQSXqcL5zpLd0LCyCwqACA2H6bn+YfrmnY0YnXwj1O2bm7rJ+/eo97IapvtImqwzeNvdsJPVeUHvKVro3a/kfQpggZp/DHUJQirimTdp5Dr0EVvr63yL5DCbnFU6EOYKbsGglKs42hr5X4mKdiNEEMAz0zMFHYO4w5XJ++0vZSrRHWo7bKPS5JmpdgMmriDYikL4lZl0H+xlSFkeJW/Yf+kJMTh9dltLz2gpkZHTvZsMwgSnzg/4CG3q0eBEmte3uZvGzFye/QY2TfvQraHgTB8I30c/wVYRS5mVts9HZbtu46shygVAW3TElnpRSvzVq9LyqVheHOeWpt74SpdURxrc7qOaJeMRGcGK7Vif66WVj8cPB7eu+nruE51Xz9jiJ8HcfkxFRewUqtcOpNIJDEAh3ulb/yNls14nbfPoxqGuicxf57LZ2WoKOgp3Zjb4vNYtIuJDpToEA+gyaStj3IaOnsqRe+xyjPrlWsEYBrgMp7Xdubh+h165tfyqF7pzcELnWqTs/+HOXZJdCORZFRNAvemi4kX0PnxUpci5EfztE9QpVlhuf3phZC+777N7juvWpudMHPuY27T3Ppf7XJSROd+Pkv72secgMTqFB/Pj75aRbHf/gpjMF1Fkese0tqjLZCv7rS+4EXfJMH9qCilAXcAyY6Ph6vwcsrOrKqC0Q7I1XCw9HEn1u8h308wxy14dy1rq3lBxb4tcSH025Bv+HYLgox52UcCCjg99s6i01IO4ZV1avMr6uQBJ3w6SgJjRmsg0yd5OI5SU4V8889M/13aNqHsmbeD/PEvb/9lDAxsWxPAVAMTdw3T00VpaLBIsf/vu7g7DLtdB7ZE4+tWELnsgrnClfZ9YHkBKtHLBMOp7S2uAfOlJXrVagCRp9tR//ZIo5iTT/9TZBKrkupV2VZrN81wVSwCKLdz3a9CM886LUQjtRqieW2wCTkIbmuZA3YrVn/MK3T4tQVVEXjf+YnZkOtIR+0favcBLLfGPNvGA+1Nh70iZceOuCnrzH+fFqD9K9iDfJe81b02r97QgLOuiZQXE47rxc2hlYYDa42eOPWShAOVv/4Vz2TmcTw5jrv/oVqbCyJEx08+1Fmg+Mm4xiSWCdjoNub4kBKMFNiBJ9FVAt7qYiDIkD/OD7Tw8zW67oHD69+q7D/WOp75AgrWRhPF/+f/9T879aB87WZdpAjlrioOyq6u19ss2VQFedszoDOPcx6dRsLJ6/aL2lotkZCk7uK+WaceqPyVhJoLOPuZbSY07RLFm+l0ZFxyQapIUdGeKxBo9XYMyUaJmB69VpBjvx33jHql2m5kE7FhK/coQ8qAKHqrk0uLU5Ch6zg07ULwP9/xdBVCrivTI0AGOUBop5tmz4AdzuJkt6HGhvMcazss80i/8AjuN9lgFCK31Akm7A3TeQrgPJ0Vaj0UuNweOJU4GHyrSCNgwHkdK28Yv/ExDvygS3o6nFPArXJmaRU/Fe6u1vr5OoUgpt3KXvkJGz10j/jL6B1bu9KzrwT6E66XAwiURzNzj1ud3WNiHCqFlnU3/1H7955OCBfmrI9RV/m+xkFoIcca+LiFyvmwnvwBQH3CilqzbmrckN/bnPCQCy9pQQut3xm/efMF0xXGBjq0vWLfFh9+74bda7xzBIReDtBKdfwgFpStuC9puasonP4Ed7R+ns7RMpyQO7yrdzJLAwaYRs3nkIaW/mxT215qUmYn3mUV92Y1j9vB4zOB/YBQk8m+pNrq4QhwRI1J+Bh7bbWMknlakDW8IX9K332zQFdjMDmKhW/VM601IHgoQZtLNu/4WevJSbW5vytl4+eWQOhrXtI5/6MtrkaZOhNxk/pc89pP9M/Ll2NNJZCHoeG6ew10dFvfzz0i1FNESPJx2Uq6VRb3//nT+gJmpqed2DKtYzrDDCPKclLqERfUFTnw4fojYlYpzvUIuLf1h+gH291n5Jn37cMYDEvfEkSpS7IOnrjZxNfaE3esdFz4YpX8a7Bm+CchnvqjSXMeA62ks+08MuRrTMuPeoAH0nlSaoAq9yCyFIwk5BcfApgvSzMZD8Yj/hP5ekEef9YE8UxW22qcoYLhqXCy0jm0Ci6SVqDw8ByK5oZrbZwPMfB2NnuvUmN2VzuKJrPzSs9Yu8Hw9CtJtkUh37MAzqDNFkig4N4Pwm5HQl+bwdz0mMElnHC1/I6jl7Bucj7M9ltxak8S4K3xWmm3vQSgSTZYCjQYpvVKn+pWzCauFxKupgFrtAc01AHhzj1I+lAm9AbFsy/vFXYCHe72yGbPBnbQ7RpsIWIDSU84mCE9a022fWwNx99VQAgwd2rlnu8PJunWzypH2OuSW9Q1Iq4a9LF896Jnjxw495ILKCvnQB2SXyYIlehPMuA2zso1XAEt3xhx5On1fXr+aIKOkpmfRz/2fx6P93meaXfjCvfo3fYKH3eNl6lZ8dBPUHZCYlb2VIjCweW2kROzZTY7e7svKipLyqtf+Nrd9x1LvxtkSV61SVYVohjty2aetqQUnT0uGYNuvL1vOdAC4YbN64cBzG4iHbA1rp04ec3j3QaVC75xE7muowkwWicXUC7RfgHLfuZwgHqni4tKcAt9+bUKfb3wtDOuvPCFf4UwJ62EJTX0ILtoXdRgccFKQ9eC73mNTXsuF+09h15uEI6b+0dOpva4o95il+vg2NhG09c7+lb8AJbql6OYzNVUV0YuttIrnjewro9pTs9Vvo87CxKyzr5hout4HG322IzejskS8Ikbs/USU5kH9sy+2psK7IRtiZ8nyAY7OVjG0MJFlqmuJ88l+ubQs94biu5I2dmyD/Polp/1rz2oVWmeuIreT98hdKD5ULnfzkqPDHb7mobdxCMJaQABWS2aH31tekgDUm0aKHPSMZ7FiwCkpYov7UDI9rO4NA00z45buUMd57unWu9nH5+vpiyoQQ/evspoxlt2kMRqttW6RiN8swjA7dm0CkiDzXzETGi9NkwI5lA0ol0flSPxZK1fWn1lenINYukDY5X/sIzzEKU7a5mPQKn0pcouFZHyVp8MGbn/B9UAOWEf0PaHgzc1pW9YvF/QVpJ6OBjGsXx1nJ+qsdKKA5Fjvjz1m7uv/B6CAOsIyHtTAWhLRslM3GPVOrq2LJsjtvf0uNAVFbf6qlXNlFpUFVo3c9ZhrTAE4N7I/fi0v03AUYdxKSmoPdriLP+ag85HiX5cPe+4tDTTL9O5kDCZ8RJJYZ0EJzquyxLQ75RNtrWZq2/qZXAm0epsUlolpG4o45KjM7b11MXI6fTqPCmDel0m5dUeYwCTla5yS5ubLbO+xw9rRRX/AaEMkClVoTWuVPnKVkjlaoIpYHIpc0tPBxc7ivBzR/ijKlcZzWPPKC+xErAu55PGmakNz8Sv7QfJG0oUP7GsReW4GmYrGIfI8gbfUTbvJvZK70viJWgmTK3uW1U72JkmlLnz2CzMMMnIYfqmlNvtXnb/+eXxvTrFG5Rr784z+oIdRrMdOsatRN3q8JYpjDCdnH8cL9aux50s/t0Xazn0+cMARQKEf75EgZokz4JbaOlA779tyWVQWqB7bHwX97p9MV+KLQ1Pn+9i/5koTQUWRTRGl6c2fJNseidI9yvC2V6BobJCFttSM8eK86hVfpFccTV55798fR7OtGYPJ/wBhf7pV1WBbn80aZsquF1iSw9jo21bbf7p/acwpHGpvBZ17tUGxLFLOp7Tc1IFiWjo7y70bnFrjjlJj9P1aF4V/VMQTdE/9c8NZTM3SOK4n+w/2eJvMaVOsetOOulNfrE8aZBsNizApSLc1YMDArlTntej8dMSZs4equsEPjrg3F62HH5kqS7uNcBRaH9aln8mu7MDI7cRhUsZZzqQPFmMEtxTR1XxGLvcdtvACAcXW5+lmV7Cz0Iu3eJe21dliZXdX31T5zId7+SNygGHqrvjIOisirpJJv4uSLAXp0q2G4J1eHGhctTS8Eram03Lo3n0qAiFowQUcIko8aUr8yNDpFAL1r8ANGIharq75QMslO3lxO4g8IKjfqQ9mwuyweouFX21seLE+SKEEYW5n7fVGJm9p5/pcqwuPSPVoOr5rskfe6JKdPSTa8r1HnhbMq0vdFwqcD/+nt6xBRpu77tmxwJ3jOjvQtdBRsVF8LEdh9n1MiFFSDNCODc3V9bS/Lx1XCFyTLkANp7ZRLkSkJceiEakanJq5SopANOjU2Tz4FUulPjatlRZ616DXgriYjMKhXOTUNPk6YoNC0ynUVsCm57oBSogjWfGxiT4RrxbplLKBMxzxmz3tdKfx6i52gbQrjpcrfi1/GC2yF1K4vgHHFaSNGEOTWoZ6a+8udr/5lS4LghsR2dBpC+7gp/hUaczqb1dtwX4fuLVmvVet2WfGGOtPLInT3n9fe53cfJOxH10UutGey9T6MS10kdnycC5ZvuxzuBH8du5C64peUqJfhM8HAhc/YU6nNS0/zEIj+Yf05oVwzdyMk5eQBkS+h3aQEWKBvQ8N8ispOyNgpU32zbOLNGy8pd2quaq68de+E/lAmbwrmkU04apOerg/wWuVlbzwuUkO7eIENBhjnmN7dRCBlFCuXxUgJxeCWAGvBnlAXp3S5Eo5Vd5oqueFKRZKvElx6cqkzUVRXqNLzkzG/dA3m45uOvVO5uLn0wYqAZzHKnXp1CnoGi3eLwBszIH4GrtI/nZFhiypMkcby/p28q6RV+L5s8JzAW56rH2JQPyuo52JCyEZxAUkX1teqWIcYH0JI5znf+AzGufpDPsmgJ76dXJL5/lMbFT1J5BEcdlJXvWHAYux8pmf0PE/CQpib3b3QO1HQJ5UjP6kkcY/Gz1mT+/uORFQwCseNbigIzUDerVlB4xeBWh6vl26hMuNrzxV7JBk5NQW+2C/3FhhISUYYRpPuRFDMYDqpS84U6P/KqjvQSC/hyY6IsQffa8FU/8uN4qiCU+x6qvYLRVjxHHX5iZ1jGtgw9xVOrZ5CYnT4tqK5AY3/EOAbyPL4f9rRKUvXTE8D4394Ey/JL+b0X4fBA4AqLMHp5oxdtjQLfCJcYKplzp8eXNHAcBigNjYPKiAj1ITBVIkwQK6C8VChC/VxEUzLRGUXF1Wz/+qq83HxdxPzMKHgE0w/O9H7GVI8bOfbOvnfdxsj+xOrFpV3eWsXZadCZOfq8tGbXjn+xM61GqE9OtwLn3OOv0pnkeVVwfRWGG5IkGBxHNYb+ndzYhHWht7UuK2COS+TNvP1NtyHJ0u3SQXjVgaX0jqotrEURogAA7tPSfcqlLT3m44f7UnZwPHChl3zZRZT3bbHlsxD9f2NYrQOJK0URde1aB+/Y99vp1xqyGNtrOnUYuNXK1qlu2H2LIdwC5i0Cf3nW1Y1EJmFQTIlwHYiiJYhT9MaJRB38JjXw7qN0aV+XrvgtBtZqU0eH6OvL856sPsBlBLlxaBKJsqyHxtBWUNloslAuD4zvns0DKXztEX+EFYHL0M+wyGj+WR34IDQRLsT+nxUQd/Dg7D3cwxdq9EoiKIBgmWN2eHAKpRqOhWxSrRMVDbVFxqZho8QOUGlCKGrFszozLxuB5OMr7fvsoIerdMNEJZPUJyvLMacWUE8SrqwTXXr/H1qrWQXps73xlsj8uvMSvjpIn6lS88IxsRmznZJVPx6N7Qpkx9Trvu9Zr2xnmzict7lfsJkgps49RyW/kxYxg7PFz/flxxwMaPFxnOak2s1RJTaYTlqbvJQvWMkjnR1QWTOt6kgteiwPsLEXaOVEVOaCLX0i0CePPlHpPC4gSjvHBTF3cH+O/639KyfJQcvTOOLGfqcIJ/B1New4vbo58fDVErp/ygU0eYLYTRnfsrNWhdrNtFFDmU/5CAnwahKYkruQqeuh6dZEBH1uJ/ELsf7de3Eg2Kw21q6EcnFQ4T9Xt9HrPQcQmZg53i4/ZMo5HQ6pkKmiQT7jSMqIFLsfXqgopLBjAt6EeAk848jMb+VDAvFQAtLih4+FzCysi6zn/cqIf/YdytLdTbOdPCC59/EJXNlkXb3urh4Dp2Uym/CpIF5F1txwSL9qazz2wHuTjkdq6379ff4aySXbiqelNw1j65+Jq+HVlm47TgayuaTXReQYS5XEU9j/rXu13RdN7fbuaOxbtxQRhyp/AS8hB9qats4LyomyOnnVnYrpQIJZY6PJFAe6Y5vAbYZ6hfanVRemr7NkelU7wPKavjWNXCnOUsIy7xzux9GKy9mqeee3GhlZWvs0wP327zRjTJohAyUwaP5NPAAopxb/qDAPPpi3Svya8DsyFlXnW0v4L/jqEcwrHYHrTXgnhEV4A2LN6n2yW5vQe23LVr/rlkvHD/S5fkcEBI38HBjD6qf92dKh2n8Oqm7OaE8QSyNityDmnzgM2uaAtW3vM6z9Mhw6F4stKtt/rE8xfWEp/yN29xir90Sb837fp+OtL5M48z7UCDuv3/l7f8LXSKydUnR84HR9ozYeA72NxL/nn9VD4niiXwCcYuTveay/pKc2blk+MZf939ftmf9847zPVw7pd2sfujAsfDbFw5qGejOWfvHlOfAqWwJW6EkI9g7of8DQtFkkENIpsPd51N1E8za2H5kr/Izqp2+cPxJz/pI6AQjdfoRjFM4an8LcMvv189Dokil6XqktnG5rzIaPxQwURKHAICLj0kTTLAjGUNUfbUI6MMvifYF/ZGm4ePyo1wV8YVcQGLCHv7/G3vlInwi+wh31Si64I5cMwl3UBIpubpbk/puNgQIhRXj2N8zQUXY5j+0QhXFfWdKmD9DEHFKfORJ1wk4Yl65lV/H50b9noYavS7tXBa/H378gS0WI/lfQXAvEcQjP6yjg8Cb/5Vh0qBVlvDUVeq1PVbxF4HRpKIK1eLyC83z238sICTVWHSSlZZLbGDkaxh2WRiGKLxNvGiS/TjYPJhfCnKuFcsE/IoJFyB6lfaNpNIYJyLL3O29BBt4eX3xq8d1CJuv9ys29dAvaPTlLpMCtsk+KoE5Xi7O5P0H0+VZYnz41Bw2u4yMbXNAYAv4WNpF7wimvl1BgWsb694f59zhLRxJRQet5iBlk+CbHl5IXjcjx+onTE+u70Beh/nuh+9Vc0GBtaVLW293nO8KLIzN5dVRSQnOMoZQyFVRezVSZ9j98VCWzMeJCuUrCok4oJ9IaGlGDHN6o0K3m5wS0fYLrgmDfK+WbR0iRiTkb7vrp6oW4UYz11e2XE6hVtkCyTN3tkntrPTpLV4ZVxTbEKz6/du6QNbulpgEjwfXyDodA1/oP0XZsb9gp9jr1IyFGhOzktoFNkXDqxAagLW5LuH/iIvNIEb/TMwSOaJfQW2UKAZtAVY7KH0ojpMmEOFa/87BwrY2sfMaui0fP9nDlgJvuPTyi4rWMM0FeeJ2a9bFpuxzOPLPuB7yLOaqKXqQCQiyytZ/XqbDaaBXUW2IeWnqQXi/bztdYz6/cK1sNpznx+PTyR9y1FW6iIfvZUGXznj4eRbjRY0u7+bqUehX4btcOQozf1ffrnaPDuFBnYophW9ZLCI327F9k6zQ/5TZT3jbL51RFQ3Lv1epzZDRuRNPP8PDdvJiFldQWXiOu+m0j6I36Y0QR09nGuL3xaR0sZPRftcFV6y1lkO7pqSw/uPPmJjleT4336h4nqIa4Yi82XSRIlJcEhO3v2Utqd40VHeCzt9TAo2g56585mHTfoTmD4sdZLHGkd0Ee/HDvP0WyFsvnK960I4qVYbCOM8G9dD6NJvn5R2a0xYfoxvj2Vo8UcjKc9bWgHp1FCErK74mDC8TrOQ372iYLUyvwHNHNiemt8dHO+g8MfScqQqbPSpfB1leQdjpuBG5pa32U8wIKkoAKS6fDpFQhHu6RHkCrXOblHSpS0M6leuea35yhuX4pzy1VAAMAE8rynWtJIYW4aWc//875v9v3NETKzkdFJk4uKtyLmZR7nI5v/SCxSl6NfUzVi7dkmBp8Pcys4yZa6OpLlYeh+GIko+froWnTnZI80QrYQdXQSIBroQgaddVWeN6vR/NC+MXkHM4Ol3D0GpGCp3651wXAUujsQbw5So2Wbzzd9waoHkmRjqzS6qfIQyuyKoDdin6v4M4kfRcob0rw/ImWAtxVmo/TolWh3UiM9xPI86oehKrkVBDId81szS4R75Pi2jJ81g/ajnQFJx1tykpa567zUGGRHr+aDvvW0GqEU6wviqMBRKbTs0dfEZ6ok8ZHX0cMJ4fvx6RsANHIGzq5O2V9pEH87vNxpsqv3QQ1kZ8GGMA5aeeMFEbp/PhxhlqK3qTx/lUbVpBvNqdV5LTrfZm3PM+fXnt8VNRDxqRuGezJFHEk89rBDVKnPD19yNR3oTRQI9sJrFSHDlf+G4HSiQNpdsb3QocNJ5Bfqa8ng8QI3EUH5DqUHciZjKZGD+WM8Ozn7ZIo+5pZMRyW11CuRXWoimS2oUCQP5hFb/UpL2VaE8Gp2/kYgWq3v6zd6tRqxKxSgvIeJ073R/aJuLAD0PlJ1ItRRj7S9FitpZ2qknlfsAFbi9Ztl/NX7TTwXw86wgMySJ9+ErWzlvfr6bULp2aZWcaliAG9maBMW6adxV9qOlBTAHgHWOTy2y3E9n41eZaNawj5OtDdb5tJEHJCSQ4eHfmywj6NZaEMjhfIJolT/CH26HtxamtrfyCcRsqy8rRqjGQB8l1ihGddhWsmnSyai67JuB7UkP4/ENM/pqVDjkMz8HM+SKB1mqNARizYwy1qPMRG0uMHm8R/Y0ZSIkiw/7QRTZPY0RcZXpgf8ghLh5MAQH00luCX/MLghhQci1QvRdYWgzg64bBnHzT3Bg2I6de3HWopDnFoT8BvuFbTjSHwp+aOrSE8sMU7N/g7X5Gvn5u1+rRQOL2JP8gf14nECBdEXUDFHCamyGq/l9WgQopwh/8yUwcJTLYCSzAuK432OmUvFEA9tqzmrsZ49LA+nl+xuntNB/5U4KYU3fbTSF/CX8SUpzi8/CG/JFXkArIzNRhR20m00e4+AKVwHZQhwqVMQ8WkIZeoWpLYUTm4usEUfIh08vIYaNR529km2mizeZnLbosSBSGMMATvHAz2RNvNhu8bgybLes3h7X4DBgk4aDQx6qMb/ofHs7xe9uivgf11hQCHTANa5OrepIqfC0JtB9FjzeLaHoY2uozhlvJAk18PRFxNTh5ir6BaTbSV6YdtQMpXJpsIuamvivH9O9PgDtZGkl0ByWThNbcdDydvBIak7Kb97IUPFTmvBe1FXhbS4uy+Cj0dUae/e3d9eeZANUn+nQuBc9+6o+L9bfhHwffFhk4Oqk0o5ozk8aQN6hUUsRPJCRUpW1pXIDCasHmb+w0fCT1BfO0GavLI8z3p+LE37h5pJ52b+2rkMNyfxvvINmDZi0pVrH7S/qDldHvtlOWP0uReomoxOfMcxnMtxLHXTA8ler6HP/dRf/KM9GioZxG+jIMCzFoKsdeVBsfT5l3W7OjsnNun75918E3l/KI8acNeD9H38+l1yMH+9q3I2eXFYjkTktbpz9K96S+tJxtiY7eiflVBUwmnQa269wCrwLXBte3KnzGA3nRdF8K0QEJJjvdq9SpvS2TJeDStnjj9YysOW4RTEarJUIg3lTqpvYsbjn+o5gE6JSYUjhMUDafIjzQIzXA/RmnxaLJIiwvrVK+sFDa/65yZvXjI328w5yOk3P1g2jLEfx5EnwyDyBfj5Uouvh/CXSzMsQMv5j5bA/8du99DyF2f+zpHK2voqoE2n+LhgrXvkQ1mnCIFaTEnNizo5WP8BX/oWUFPxkUyNVuX76ZanL4d/sf3SBO3V5tvNeocwUjZDx604Fy6wAg3KX9f6hhVV2rk4PTh0fkMAG9kohlzRFIYK9lu53UPtoPqoKpLXM9YuROEOzW4IjEc0x8s7wC06zur9DMZ1EzOiB/xog2degmHEwceb5qmmZ2G3sYwvJfm1ENoiSq7MVZBQr65rwR4ivsaVNbwx9dBfT+1KpPDHLlQ0FF8ec6S8PGA7nYAlQzXe9CbIv/4Lnvwg0sx/n4w2zyjREr4WW6opcuDM2R+WaHYlz5GMrleAnKS5MVrlLQQlfpHh/wIoaReehWDcFgx65Btda1tZLpibjFT1NMltynWyLT3wPqULT7PWeQI/bVy2CC0V0Y6fvdl25o4WxZsNdPm0NyIEWZ13lqTNr46fR0QKMdkrVksallLy65qGXfE9bNAIERTM07ToOleRVTKPR8cyzkEg1zEz7UDAjCNUubJjIbSJmz+f/maRcrLu4/XxFGxny7bnrmefIlfBiPYA2J0bzzOsvf9/VgAYpnXFxclbHFTcLUd+Kvhyez48r6Lo46OwuhvKWGLBuWnuKUCiEjqAY6kLva4IVH7c6bU7TG2qA9jt5IAvAjRt6J23wbi2FvSneZosJVrcsS4jlIP10n7Z2ee4zHDsyKcNE7fhs0tYn8d6Kq2wPE/XzVyrNzn+tRA+sDv/wJrvmPFm9t5SY76c7EM1eAxbKXrRi00fcoMc+MNWtrrXlfwUmF3Fqo1Q7HYhLxK+Izcq1+X2R7Let1D4KUl/FEjLJNWpQOXR+V2whQ24Vw8I/k/9J3MuX5d1dZYL1SPrfmDD8JXxOTB+fdM/L/M8N/wAgcTf2GoPxe4m8gr15imgekakPXuFPlaEj175jX7XYIFGDSZpp/c+0s10w1vU/3TfKP+8fbdnLAVCaP/gF7KArEKdN6oz61fiyioRzJhj65SHDti77e90vC4B5R15QeEfF0eCS/lCbThPOUu8ug7uubmgaeyzgIXw2qisobDRvq+qM7HiocBwpnwatn3lGxsZ+DbnNuhxhwwn7EhOC0h/KRnuPenpaEo6uNkA/TF8iTN+OB0yMr9UV15pFKai+qNbqXPbN6d3Gr2qSViTjoQpTwG6WnGXuqklxcdNMGGxI+85M4mDxJ+9cTKi34DgSe6Ntx0sNu15BxZRnfuU746cx4mDMCxUiy10ohLsPj5apPmCiN4L0BjaWc5qi2MkGs38knKuDgqke46oBGxbQ2Z0ofipShsILP0ZidXTwZ1VvWDB307hVttIvU25NuQJB/cgiSsV8ZSFJTTNNXl1eQcyX+lq9y3dsavpnk7fsysiRF1WWnWfSVCZAKHdOJb7/14gzVL7uJRktwdkrKErPh98e19uMAQMdcX7RqZVHzm3XiObPP0B++lfiBHg3t3GBsJd/4z7/bu1r2c1fiJp9FzlA1aIvXkAX0/7gjciJCseuB+s921sSnWFFu+dgoiLmdXambw61VYVQVWsNGvgfDuNoI3S99HuPw0BOtdg168sTR7bNzF1WvlLU7HZCszPtvNGytyZFImLjHZ9ivRfvCA0rgtcRlKRKDyd9JGRzAYRW1PlbulN3qI2fVH3r+lOmznmhhDOGSH0GvkXeg87S4cSFpO1jgJrymrykc8xxCirCUSN3NXxSr8qlroxTMt6GFQrc75SB6eaN5b7yLPjrzB729ufG8BpGTxiUpUj1SQ/+26vm8Rcr75Boj9sADXc1T1qfc22OT6Fn+E3kiwkl5cor0npZLA1ZeaRqDc+Tn1taePHrxUrL6C9tQqdLCdGsds+Rcn3hsp0346HmQppO1zqjrU6TvDkJ5oVz1ujznFchfZNbr4ddqHwapijtlH5oyN4BypaLMR8418SzI2xoDUqBrVSQ4a9JCy7aG14TsvjeSzNE2X0yLv9BEQcN2GKE/i6uVmLZcnGeTkSZyWzE+axvS+lMleWvpnjdD+msvZ7NJrREr49gHVTbKc3d58f+2ET185oyz7BtZUqYJzOliii5f194Y5ppa7Yz+qJsvEDBdD4hIL2gL2vJCErM1MHU1Vuczo+ZfrFy5NvKbR6gys2jz4XhpoF83t+6LQM9o6t/ml4ITeJaghCFg/X7P6MJAhc/v50IH5br2ffVrblS75wexXv6qu6/xrQoER/cVhSE7pyPP0H7P/5yzIimZO8guP91QG2o6nZTmX1c+HAT8UQeGo1PE5bZyxfb8XLIVI/pCQ9eR5p8+Lz5t/xvvvf3e0KrTVu+HW3AXigKPO7H4DO3SURaj8YJXSiobvdcn1UslJqWdqZ3KzzeCeP9UzXOp/S1qrMrgHfx1uTN/Yr1RRnyhYNaKmcblicU60OSECriYZzMo2a3WKDbgpO+//8v/+/sj93/X5RuRynFEbjHfht5y/2W39ND9egHAZ8Us85fGQB177QBvcZPUbEMHZqu99ulS0koG1VrYdpxPcA5JH7H4p1nGnPiCO9lM7NaBMgorfI+LZ7N8NT/aaF79HcN/+jOVzawjj2sJmRl+Mhj7pVKpDAFcIxxurPVNeetR4v6GWN1N33rr23J4UfCQ4f1rPI1q7lRbwRxE9LmrsqdfmAVeFqZvJWFvrdQ8iAcX4zD4srCMBzKS/WaN4bjWJnQkEDYbb1qlRvfBZ8mUjEiUmjXsYMRj3oA6LMY72y2W3Zx4kcFOZzPkvPez9DgTo+Mc+nAsrrjGb3Rb00q8xnftvwTN28qurcy1oGZUbv1kNPSR5NEHGkg7J+pUlNzEE2g73JW2t3K2+LmUmBptsfGGrPcYdJGllAQiK7y6O1n3fDJtQ7QU6w96b2Aq8xghLvJPureXoptfKgYVssmr+gn3zsYkzUbWfU9GFS/uDKqhW5+cghc6UH0hZ1rPS2eAllgf8Bs/Q1TRDcrqe7Nw1tOfK79rMBNs8yEYUrC+GdnxHToRiz3K6n+e7G476wj9SSkDWV6ThMKT9wsDPqdEIjF0Et51K0LRr9FBfQPfQeMjg9Ds/nmJMLdcQ9RZlVA8ZWikNLkHB9MEtEUXhqD4SOS+mWpJl4s/PMNXZbYPcJQV98hXnzSbTTatVfNKH3/oqjDgkwGdTpD4HgEl6roEnfJ6SlnzaeSygsDvMQEDThLtaACwovckfk6rDi4hm9q5nxpjLDXFFKFPfsimJGf9lktY9mEz+h4Bc5qdHqPuwXZoZG1x/laaaZtJopmrTPIMW+g1bv81JR9Ai23zdHzvCBN89oQWH9KX95iYGNkNiw3svM9OTGmehFOaI2i6hOJnnkmbD6+sEb32T/Aa+4yVYNDpYLBvvu+MLbg//VxSFYa+jbe3/Tzt+IUZ342vjFAX/9uutjX9G+8g/kh7+UOunOZX2g6mBG099+Z9flKLOroJPZCgAQzYH4AB0jvyXre6Hge0+ZyKujYVTdPP+PiNUsHYOV+KqVIs8/u8nDPoVYevuhZwQoXmUW3dGnrwnAFErCzv7aT7x65Z/iiVSzDCJr+UQ4aMS6gN1/Dtf/HM7u1EnDk364kDleJ725y9+cL/pfhAbIRN5q9Kl+crhKwVaSmndJJa0CPlnzkfevr6T42vcpneDi0pYBJMR1R/OUY/HUF38hjMtg8QwPlFh65cc9Zx2g6fX6e4CStI+fH0bEHv/8+Jl4S1973CXAeYfG3/UIkQ7PuPfG1VdeLN7yYAUSh5UL7r1f4laUBv1NfuOXQUXrTS23AkTf4Ru5CFp7jFHlirKciXb8MI+fGesXsGKUrdVWKOBDW4NZUSFJyzkyc4fxjxIXfMMRyyCSdhW7ww7rOaG38MGFvmXhsMN7FHG6t53nYc3frnZ0v2PZOxq/alENzoNOtC8cj95GsK84bXHOXakLoK6B1O7fkUo35mozoeajqXupSvxysOeKiP6OVeT1Nc4G04fP0N6uKs9XCR1K1lcqgbR4FErorNtC6U5RSZO/2VpXfTIJ+cF7oPhQzzXylCKCnUZ0Pc1c7cwmyZx4kltOwees9LShJXXFUFOAFDFk4tjZuXZjAKdfGVEgRP1kCvhr+uDCEkX7SvOUWZEfvLVGt0uoi5/+pC0+z4hzrhiXluz9jpjq4qA91wbRugP/PvLd/cIvBx8AvokgfnGbXirQRUvr1IUQEqrjBFZ2L1jtnIIxit9yx74jCquXrwkiZTcvEoo/AFlEj5gSQIGkoEIylRJcXC5Ua4z5gEU8U/HmJnoSRlbkl/uZq617flOMuv58SyGJ7kkbf3VLs2F8HAFSfRSOSAQQ2H+ZyqYVILW11Sw2rTmaF1QGdaJ0twLekXL6Aj/ZwHVVCq5HsqZLbqGuuGOb7h9figvFL47MbTpA8aQk/Qzf/u2nFJXWZUeSCdwuf59qbVMFqnyFyUrZG8hruWaX08sxJh/JYvv5xMJmznEAC8vBimrscCjgAyFK59n34lWxzAUk3QshOvd5+HtYknDhpDq+dDYO2kuCu3T+xu6cHwvXO9lU3L7N8m2ZNgxo2kfppeU2Ks6rthhyraCryCbP2FveteJbfjQXn55PtuEhAPw6WZU9tK4xfGypPhSWSbLe7f0hEfTrURQ8xcVlNSvVq1d2iymxNwYhC7ebY7m9W63kBEMJU6cZP674U/M0Ka3rR8F3axyK4kKjc3mjh02Kq5d38n6Pn+r74es+9FXWlGczdxYuMM9IjB6obQvL57W/18XQV+WUcK0NIvkHIsJgoK40SGrUzx95JJR55TgOXDJHenqGpm6RUICBTbmncZxastyow3HQfCCYurejBoQf894TMwK7DH9/rrVXe4atNTPTNMNdKNd/fEyFvsWjb64S7eSK6qqCwjv0r8LTwJYroszjFy2vNu/FGE9DAQEEPFHZ/w3lJ3ca5aCT5bvcRdRRW0tFocrgKm+ePuYcGtNdGJThlvxopRo+jb6A6+dI2e7Rbnl2T+tgdinZDvfyGEHP+xV4g3L9aNamHV35Qj1YUFlA4ER6S79Lbr8zN/2pp/mbcuJFqjE68YzEoEdb7rOLT3OxNCqQ9orRFcOX6iBSNN8wjtqwT1cXTJ8pROQNNhOX8SJBtqDF9wzv/LHGL+lSjz2anczDFJ7ahrY+Re/0ZYxE4HTu7pDuZXzATKZwSb35gqk6ishZ7kQbt99KwE9btU599//o7DbjeE9lQD9EpJMYAbmvhAVdja6LyFdL2pV22YAOBLQvrFGL4PO+kqnGU7LA+BO5M6uAcuiiY1tBGnCYe+Pw7LDac8Sj0Ztyn5Kpq3If5ZQHJRGRROMZSnWCZI/uiy4L+4rsre/3WD/EGRcj0ax+ivcVvXFJdclvb4PH2MBS5jR5tv3kfevA7btVLgK/nLdfWy1y996o7SCCCMFl2hGIdtoj7uVADeBEGBX9ATy8R2nedT8CnPNY0cwiwKDM2FHX2IEipkcYy9meGIPcoaerQa5jc6MwR6pwXIZdv93oM8nTXlu+QkDNAvpNwybnXtKbTZe13ERKS63smV4vOXFWwQJrqxJLC89vLKP0+R7UxeJ2MFjojA8P7kQ9iILUnOfXXTZM96xDdt1sVR+lK2klOtu8wn3dJmH81yji9if4nKskBNjvPMIIARn0YS09tnfkkPy+DLHsdR1V2W1EqLt2f0H/ldB9+1Ifb48bEKZe2fx3+SlksPzeYA00IIVbVvvm/MTstgw4K7t8kf1scJBfyF8WMtNCrlo9k1nJVHdM9PNZU0Fq+SdEcnPF0TSmat8kD7UcWWxmg6Lis+5oiY1fQPnzqvFzDZwtFB6y+PKYH0kKWfB6uVx7vHiqCSUZjg6IqXvNYdwZTf/LstbhoTQUqKhSnXywZjB6mqnK8IgG0uxuZah+q+JvHcI95d4RxtaRtiS8r1Ydnb2E27HQ1Pnntm51BkrRswxPw50imNJfwZ/dzo3sqRB9X57/uV8GX2FwN9RttloyEFMF37Xq0hRZYnuhJSz7Jtji+Vq43uX4bFt4nEwSvZssqI3v+1Nb9dJdlHpdT7UelsNkxErf/w5Z2Ucp7/NolN/Mr/PKr/Sbye9KNfmnDP1BnVBKaq+M0FhZNqeqczrrIeNKOsnUpxuWpQED9NJMdE6cKzp1em+G147bAyI3SjYTj8w91zdA6/jVaBh57DlT28TDigw3UHFkh/70dSu0LPfsv3ulWu2dy6HUAsyPq3ei1plUe2TI7V3GK8j4xI4cFCyAmiIqQFZUnQRd0/dYAze+uaiW4uxKDiIRNfEKiVnjeQdYfVcgv2VCtECMw8qbmNbwB51I87kwXPICdHgHKS1L//iSEgGX/nSiHffeJOcOdPxWsXpEqZb7JzQFuq9PX/i4PzotRV7+xfSjqe5mDi/6aaCdk0eBFNQq6H76RbbvO5796/dROlWhmtyNrM3+5lf5jf5/cdFuEyOa4fLCeFmQDdsAXB91rry3ewMod8/CZ48JktMiC3RRsFEsb3nPzEYZaLWZRMs2nfT6yGVCGyZV08UCDvox65p4OJ9ui+kCo6yD81Oyvc3owPGrNQZGgpcp2WL/a2qC/UafuZ4jq2UpjwBFJWuTtConhpcsM3Zg/IBtspWnsvdCoOKHXrYeEZ/0GKJAYjdiK1oev/g5T1OetzJp505YuhC4xwQPiZ/B1Z5/Xtu/g5V0MjBKQHuYgiriUjhR4xdc5lBCcQMo6Ob6Npx59lM+OuP044GPg69mDIK2y0cobD1hbIQPrnZe9h5Zqu8DU1DMOH6/T3pZCE12yooVYVnrU0S2RrOSDIN6DyDbxrcuQj+8sdAKcO/6y+8G8BHx0jwul0tbRZutJ55Zeyuwjt4mRpraWwasJEOfv50rcs2lb08CKQo0ua35D+DrcT/MX8h9b5xxjvgLLWBepBQcsqCW4vwalOY76SXzv/bkHTTA0OboVn1qZSntXMbvWUushWgB5ET8OoVLZ5Mu6tmccAaxVbKCDsHKHxuN0qnVXhPfBf1cxRJ5Tvb2NHkA8Bv6oSqiajewdfd9zfe1rXn3DznqSHlqIaqmGP/y8tI+kATR2oOq0Dq4s3yroF7lffOq3cAUXHVkPpb0k4rECvwQaaNgAYHRHFUtF2igbeRNZj+vHu9Eg6WQsJLRMGE076xWb99hIKKfPSWgNW0kYed00I6QOX8a0vnIRPt6QY0XLP+ApNSkk8UQ3pBck32uP6UwaFCyIPckM0tFA3Gv46gsoTTqx6rTSOPPaf8/al269VAzNx2fl99qex4/dAeG7AQ/TS7eT/17Oh6ZNSQ4IZKczzp/Ly6kpWddzJConYr2Olt/tiGct0KhA8cuMC+B99lUUyY+882yEu5LbXEn9gCFKhVq7fQToNI5yuq+QHdkQXgfl+Y7wANmpqYgiEnye4Uog7MXZe9elHWKH8auxIlWfXcjM+/Og8z42Zeg22z6rqT8uiHD1Imz71H+p6i94ieqLphlnbz86xY/tkeP92wtFlSRf62HybzenlO3Hu8+5NEnzPOAUoycUdctcbKubQprWQq1SU3xSRiQ2uPyk2aLoD2YEUvx+Itc06FwrB4u8bP6wKRawMX/pX9Pp6wAw5I83RIFv9Xg+R07ShA6J7SlUZR/ofdihaKZZvie+iuHl1Ivmek/Of13fEizPtolwjnqm+48TqtBFNqK/PcW1XU5HdlJs1PUeag5hJ4rFSgPfKM5LhvSanu+yN2frocHXwaKRwK7QKul0B17d+5NWWdfKbJ/zqwq1ozoCPPVxx2f7NeFThd/5p9Nk5d+T63ZMrHFVxz8h2qyMvTXaBBjbBajLXoSK7hazRQOk41brdx9qZ/DXfuG21H8Simxm5zlOS8A7NxTZXn257HlR20l8IVaSZjuPLvbCRbNY2mrkhqrNfFdSTdSTQFgnBoXyF8k2oQBH/hcjxlorUsFb+R72xRUdft7GTUkhs7W71gM0Zd60ynyvzycpFvSpGD+wtnhhALlVdqalHxww33SqQ6YLeK+jkspnpFTXRCXLteQmCI3HbrG84tx1/zVl3jAXTz7aANkhfr4y0inoExjidoLclH0VNTLeYW0fHqnjlTlXmIxUQkwp3VJrUUK18PlKXujF9zvIgSa0vdg8yJD5qc9NZgIdtv5ghi8ZutCmJ0ONpO7ha5lvYzf5BBCi0vd2jEQ/cc1uwmGfxVyTk6/H1e/CWX0txIa+bzG+qmfJJyaZc1J5d0CNJefbkxVWZoTVwtW2aY3H2MOX/X11b5lZcGP5yQR39RExpkOGyvdRFzJ0HZadi5qd8Y+qQeaq/47CzWKch3u4nAxqUeCl635h2lrPH6+4BZOdIusRavD8QODmgXNvtOZ6HpQZXsTMb08/SdJHv0oncvRHUSibOrHehxmL+JxXpVzPI8esUdwebJfya1UQEn+2X4N9aKBz4A9ZhXQZtmeV10vNx7LbeZkoD7d3L/Ovsdwt3QFmrRJVRUzZGK7ZCQA+7W90wHyuSCqpqDYT5LX9KFU7AeQyhbM9QpqpwGLvz5nl0r6Y5r4MhV4DVzCeztcTAotMT9ydL1Ce0b10sfXgUw6GSx0O4vDudsK49r8Lx1wNEBzpWk3vNyoJAgWltJItGT7QCR0kB1Oy56QjyKWLNxb2mIix1Nwvrc5meuKWIJwVJogUh2V+PctR8gyPNUXpFCWqbCG01Y5UwV30Ewzm6Fe5zTrGnRf3dXv5uv+6k8bkakXO8dTsf/UTmgBnpbcfEEU3Gpm7OF+iaEQ8VtovYr2Vc6p/wjbiCztsap+WmEMAFfohvlI82QV7+ZQ66VKwnFeO3lf5osusjhT2xZCzuMfT/yj++z9SUeVqT20z1oBUAlhcovXpNXsI80/no+NTrUWmzlA1ueuZDLIzVPGmIFPlxHoH/2i7NRyOyEMKmjm6ShAgaCqM9ZQ19L3Mu4+3q3llXr4EqPaVLIzVOUqh9l+gzfKew7H5fSVfdA4NKqKuMLJp68+rWUka99Td3GWLaZTKlPi8vhOunaO2tR9Gv2hxvLMAD199coVFf04d6Z4VqtvDZFL53Zs+yL1pXKVQS8ZO5pe8kpKVawQf31mjrSbrXuWDjs6JNXvVzC+00/d4f+OIjQfPxzQ1eMNjrSN+4ANPY+eH30lkH25VwWSrWrkIo0OhvD5D7X5TbJ6VztXvndsbjq8cliHR2S+ab+w2exUuF6s2zA+VjVyabIkIPk4Xm+RgNadhkYLPVnWx0LRJi/FTzCGH8Nr3GBX3bph4G5piI9wyrs7m0+8zN0Ga9aFVlu/ATCUp5bTY8Vbt14SkJTMjd/Hdfe2jSrcobLXOWX6i7pNII3lEhFhkUU42y+nREg+9gIU96rSRqLB5k4u1V1j/7fPy3fFeF5zIIm4ZAsXMBtWlaZdu7QaZ5Y+b9PlN9NDLZDCmRbZ19xz+15+GkT7lGmP249+Dnw0qBbEkCnH6ooC5vOnd/EA5mOmFk0I149Hn8rU8bZUzt1w/seWZJVsb16iqB9PBUqkx7Ie7mgD3jS8sg8mpJ+I0O55cjd6xMTB3xu7WuR4RWi8eU5NlwDo8sEDBkF6P3qNEo2fmZvTiDN6MH+6E2lNMh7NY9X6EYzN3Rjn4ejxcg78A5M3XD4nFRzkk0rEeMtt9jdvPGfLcIk63t3tDK5bPl7SpD6g/NxrhiqPwo7JUr/JnlioQW7oclxXAZmFrJaR4a2/3J02gGGN7rRoXWH0XKE0vjAp+VQ2Yz3SzQH5EHBrUGiaPTbYvpTsgVC41ONyDfrFEMl6xtIEJzHOfjFV1ahkpnc3TeANkjExsrWSi/I0heeTLbK6i9CDe14pHtfa2Nef4Y8qr8ygIo5QLJOnHs1Rlvm0HotcZzMcIq3kmWFFlov00pJuPr+aCQjR3PoHwKKvoNOnc+837D3a42CqNiTkbuvzab/jwEWe62ZBj5aKaU3EhxItWYxnFqK+X7+5RWo3ZxMmH+DGZuZpEmm/hc3Wq0vbkjD4OS2JP3D/MrGAnfkhiwSyqveWvgOFYbyf4xt3Fx+ffMxaI6RbyUAdS5pH12FPXKVzbpt5vm6t9fdBDiM8d19xj1vqPTjWq9J87MhKbF3GO+wVKpQDBYqWluqdkz/vMHvG2MF4mJ6GBkxoXSI9CepV/j9vm2YVT09vJ1+xvIkJTnbxLnqr9Z7nmTBNih7gXGLDV6M/PQNzJ/xjOMpLQKIQ/art5zmy235ynD9IaTrD4TZO6NOQhi2hrSz0WNolLbSi6FP9+hsfig2viwF+HK0XhODM0/WfHM1DF1Y0K9OGuvDafvaDqkIDH65yV80B/H8+e5X5isRj1Frjb762HnE6E6IwWPgALhql1rzUT/ullEc7UDdj7EG5FhW8frT1xXfwzYdxW3i2+3uZ6Nsc4oMkBMpPH2F/yZzrpCb8OJ0ZvD+kPW3C1Fu2c0AtW6bBa8vH6l0Bna4GuY94n8jf+Ug5w0MRSOl0DKgqyObrzvQCuJVER/2sGb0Hx3mmfLb56vkcMwk1Ov3nHVh2Mmfw1nZqf7yyi2dlQBZqhanve4za3f1G2Lg7DcnvByO+tlVjbXsbM86gaXS98/hk45us8jJQcMaiCsTsR2XR479S/aqOR22bZzZl/DRPEe7XeueT7xeX4+fEJc2yVGy6cSU4rFRTkbmdOMlzSUW2+WmEPjfuNiUSbjv43kToU2eVC1yOWZVP4BOyMUyPmXKlBq3YBXE43L7/kszcVYBP1NSaCT+pdNBlQvzh97XwpjXgD9er9es1HH36Ain7/K0IdMs8vR9jU1fQs5SKMllkiwYrqNk3kt9t+3yoDAEx/LIOte77kga96qzK0wQU2aMyTXfXlyvMIRspdWFzKhdZS7vFP7t/z8Es8SL++zPYV+tQItoeKiVN+rmOX20crvsBUkpIjLTyfDeEVYovZgEm+PARqHFLHvb7HBnEmDUYrLtaR+Vv5qiwR/AWvljPJX9KMD2tx6WnB1tid1T+BnJhXvxMdUXZSF1X9imlanPU9NmRGx8naL6VJO8+7+bN5Zhx42kZFbPsQ0voYYrl01r7jkWzQA8eIVdK9vetIEQY+Liki5V3Mff0HtEfA6pcVIaJRJQ8OenBP/E7u1DhYgCfiDaRQEjVrRGdIvl23acEg9MO8sWdtivTBsnh1vvDsBZH8VJbwZkM4CLoyH3dN8uzqzXrgbS1VvqiLM1HUAMH80BiEYT0vhe+hPE2HyshQSsvN+ATEsJ9sKLl7cxV3GW9nQvpFMeWEFdJwvK2KEHpLYUBGowYGpLm6W/qrjfH6litfZesNN9X/ua7sVKhVhEwfYTD3hw+5mUOVOzq9hlcjr3Rcqnmt5Vff5PjLVODtZG1GL4RMSo6hFhqzL+PS3oY07m4MUJbw3zVZYCU8UKnk2zvFlifAFf/SafPuiwAuo4KKDIfZuHOX/2XXi7+H0XwFhfqOLOg1DZUL8hL11SC/WjP/h59zh0gR/QCtZ67mq5M2S1wbNs7HhYD0AzqkCP2nS8HA+YsdvTQu6zQJvFqVqGV89JQ0U0q7B3g6mckvXeDTPBkpCvqkjvo0yfPqDaCPJ6rq/zEp6q85ulj+en38yIOI/W2zq7Xw6g0KoaxzgxzsaHmy3mv/CG4+5I4n1I2ckoo67RMrxR1TqufaV++i98BI/zLURebmYmWi0lIAO0M8kzXMqDMOHYJSB7wLVAjBVKDFa0Jx6xVjd2tpzTXo/dG4BK9kLGiZICTeg6mF2Rsp7xdzXal+a7vvvp9wTqlZ+4g6KKAapGQDumQeHNfyw5bzHVijbvI/OVttHZZSnswFPKmXa9tRkrJtOi2J8lvyypg7Bj41z88hae8Z8i1anJ1OyjKZVU0lPT3VTHYq/ZVosA8jPm+bNkgvtK+80L1rN4X2YXSWnJn2Ov1TnOgfj/OypWBzWk6y2JNYyGXtuRByRVVQjK5Mv6bf/AD9J5R9ANinvlkBd73y1R9JT54WqH/5dGGq2WEKXnxMqv9ThnMG/gHYjWUNq5Nhz+iisfxukHH2QYsv2M+l4uPhORbnRw42x7JnbxWyaMOKBXRsM9wjsNP7ohQZi7tqwLkb0BWneEEXpEV1LZG92+9dlhZOjkFa95OtdnjB5MXytACWBrE32cIWlslfpf9DHQPZplLumLDhkDTdNi9V8TPELdeSzdyeSRBJ0N3ToFaO1vRGMEY04yazNNXjgi0pVCbbinf+gHCe1fb4HaAw+PQliEw+kEyLiRBEA8eqWD92JuW2mrfyq3UufhS8ltK9Gkf9OJvO16Tj3EoFolm2F+R46iTeKKniAvy53BaqRolxji3NYHOuYpjbLgjGvitImeOWt/ScPHP0NLfefoA9GjmObrF7mTrt5ITYcX7y+kg3l+zAhXhoTgjO8eIB+6QLe+oPaLp9jnZdaRQkn1U/EJ6tvJcJ52Hu8Wk9jYCkoQRQKVncLeGEzXN443E0c+Tu+lqBOeqfsSnuISrn8IORZYYD+Yr57VlvfvrpsmArlu6Z7XaxZZ7eDyt/Nu31M2pQ6FUzcSy9jFvrMMddRcpWE1d7kDeFWI1zy27BWpHLoYlStg1+AHJH/kisFvzUggfiLrS5msgqJlc4DGd+aXMqWAKD0Zp/EMyXBTiUNLr0dCSYB+1SydwYKltUoaO9RHoTLfl6z3B4Tgryj5Uaq2zexJo3uro7EqCwdIuPVUl4ZbWz0G6y0iPxkJTp0CBUq/3W2uF0j83PRqaaHmu+CBq1F5CprJX87iovoZ2X5ETqvHyBcfttuZuFZa/+FO2SYdRMjcRrTvXLeF7jkyzu0Qiz/LiEb70bjjm8xncZn0O9qHeh8wAAhMyffUS97ZQFwz6R7z1c/YDAwLWMxPHzIk8lhBmupVeqxxIxdnosZShy9DOqxe6nwADCt7oNZM3YSqIFdfIBBKPnjYXqveX221wdVTRVFPQYl6ah97OwOROkRg059vX42jVlVjFSI1b9YblSkvxm2w8o5fAqKUtSK5QWZWepAM/nNeYryWP4t3Xv33Wr451a95wTqFGUdvnZL0QSMmuX3Xgk2efFrZAj2l7qDXPd5MVqpBwM8FjAQKeadqlz70/m1aIbQfluFJQxArMM7iNcjemzMh3L0oPcKN2/w7Yu3RegZDSi2fSqOi8zRGwYkHiN2j+fYp82IIGfw9RadEVVOI7jZgP3/6+wuDHa89tTr/G12UYn2NHBIPUZ3X1BlKwaWE8rKazLgEdfuBzjnVuU3dwrmdhbUE1k7dSttPH78Vr6Xe967yzsnRLSIV768rXgG3N63jetP/83nOCWRofSQr0vY5uM67fU5i9angittcO1zbNreYly048r73lQDDnyudDNGeR2GkePu97QdvHTrhdAx6m/zgbAE5xXrL+3//X/9KfJkRLOCjRga7VPfXY2BfsCXOox8fa8u4AFhGRplZiORKteOaLW31SW8KkLTd+3mNdLuGq5J3usj+Sa/0nvQfmVQpuac8C3/8WtTvr62Acv9qj9G/nqxMBJTp49FcT22flrRux6nkBVdyuyw/92HpXN/wfI8Ktjtb9jGkIXFddZelUbNtXu1l1aa+8WlT+is7See45NGwE0L0oJE72huPRh5PUGuULXMjD9EyZ7sYJ+t38gA+S9dnzwCqaswIdMn5oXfd6ZzBYufwSXjzeGjGsdaSRX4FxImlxb6COlXZZFS+1F9Wm1BfzWxRe3SeC/hEgzrsdVbuj+Jm6N8FRFu5l5HWm9oSyJ6+/7FCGGYK6gzvFitTHJ83nPvRh6DBBjkpoKc/LjnVkr2bndR17RFjUKq4x2xZyKu/QmOAENeY3FaZzCO2G3DdlGeKTFhRQFsADvn2v7M13pdfUDn2B2A/j4YX33KllRJxAAOy/zntfT8tWf+ekXvSbXempoGOtWfMBvdmed1tvMJnlLHdimXZuLzB5G5zYLtMmDwgAFXJEc7Cv5WBtZGc8uN0oylMHG13cyrVRaGr1QPP3W5OxWGkvYlCPdM0dIawxxZcZXDRrW292ynl+eE3v9qGOs3veTG3rgnvv/Hiyfqy33GJTEgQzKeyGE0ur980WCWaQiq3n2exs8tiRXunHVUcW0Qy1H2k9DW1J6Nf8nbmGjZ3V+0+kXXnMutzB3P9A/0jLc8j1sD8kX3414VnGXfUxQNKbaONAx8rtlOmUfl8KAZvnPzO6bETXu+8SxocoKz/NjX73VeXS8HxM9T+ePZrm+13asKh0jt7NJr7PFo+2hOiNNRmMmdbVd23dEFyyTv2+ssbvWI/H9kMsYj+Jd+YnF93UPfB+mtPFnkh+c95955nfV4M3vIm6SIWwV3kS5d2heZ09ILb4xPedN9e3Va2i5KVqqfPRXxCNlGRwfdzvermSIDLUfNq44Y41SMG7aKy+En0U2H38tqLQrbzS+StGdT3ld/XJb9u1dEw/Mnycuv5K2mqYePlZnVOMPJO8jbw7TIK0Hxm4ECWjlbzj2eaJCwZW5xV9yajTATeHbY28qVqDZNvjurUNPbBl+VtLI5ldv7mW4QHBLy4n3zxxMz5WM18uqE2ztFPjPxWf64grf/6BuWJuDwsdCaZsuXdL+2qeCq9bGOzuM95wlaULU8cSD4c1/YT6wzElP95cA2RGv+pwkKX1+D8zzv6P/0HzzcnDyLZRaxXohnAVN7fpHhZ78hhCTH6RvLq/vpNg8Cf7CccFZ6SNs12WsO8bz2p318p2UftArbBME8aivOpcMxD6208N+oh+JeMaEXn588HZqotwQSl75ZkP4vJD83UDCFtYly08rcUc5MdbyU9tc5r9+ltFT6nFdyGhSr/BTvbyLxOh18opbHUorbbTOYsXwU45r87wtvPUkJigEtq86AnEIJTVd/ed4ZrP8MRY5jYaqrIL2dRvM19w4mmkrCCPiCYUKh3CDHW7G4T26upcSzpb8TvSVTd2s0ukf7FmeB/RPvsPfVDUfVYa0uLg+sY3pJe33CxvBDqBtRT+cDfokvj53hwwl7Wq3OfphftdcQbA2rARrcz5KvbQZe5AzCZhSrSbVPtLG1G11EHkN11jYxv9rgPhi7viaOabBJmZpUB7OgXMrWE+2njKUxCfATA03hkIDZ68GcjhUNPp7ER69O31aTz+Ub2mMwuUmiQXvzNdD4+Uhfft94QMfwlGjjs+CCfMafLK2s0rd2KrcptlC3vLhLvfXN8KRACsJK6zQfVnFyPLP0/lG9Gd75a1VCkoDMZzG00v5g5fc6TsQkwx6HE3Yt8bTMkZUpbZjn3ODlcCybH3rdO0NyH7Eb38gQB15+1DVlpVZvQc/p6nCK7GVNZ41sPfe3xTA9soTA07zAAJvDNttXjb5zfqMbMeMhC7udx6UUylmHsByOZL+Nl8YSyMIjlWECEQWQt7J74mgA7DCM7uusQrwVBVYBCAsqTsK2Ew4G/aZcouXIPwEF1LIG+i98xRscmmFkB+buMJIXPeVEsIJSWrKsIkzH5h1/rMlxhhv4DviT8zkEamq0MIxmMtnlP7+toX18JoArLnV5JTx/WeXOI/J7z5Z4D6hyvjYYy8wzX0Pzr5HlFBI/hIg32L4pyG1TPiw5SdIlpv49HSo5UBCEtTqDsryl5Am4/yM8TnzWataUuIGVWC1/SwNakUoY3TcT5SHRCMCxQn1jtZTsgajI5OlWJxZjwPP3ro42RHefgnwwReUyrbf2drWv8H0Ups78g/2rJeS01975r+VDQZ4h8D1N6XoUo0GSNlquP7Jx+BTxK93v7JvYa4qmllk/fTRAXYmjp30MmndXSVOXUIGlKwyFijtX6sPw/DWaTPPFRzklRuTlTKTOsmcYXhl5QgalIFIBhH0SsdgULwBqy7kEt5pKjLMFe34+7LdoXjbTVcCfpN2SwcY9u41XVId35cgOIIHjmNk8IW+gsx9/S/sFR5/aF6a0ph9OFc5cAWLTPBcd9SGViqFuiAqtb+UR+dW1Q/Da97d+w9s4lm8g1EZUtH3CujII07y2Cf/ICAz+BNNM983C1WUBK2KXk3SyB7fy357aLQlGZU93tYO6jDqCUAB0TFigHkzPyUy07/yTGJZDKQPx2wWgjqiXE3+IHKakgmZ1LUvuDexHVdegZiUB/tKprJSrFUQnA2efLqn0bK52Erx0udWCicpNNTyL9M4vJXQzoM0EIKP2pLCmh+x6J9+St/qS/2ILL+DtsLGOMNCtKaGVhopzodupIwfwIqTo8Z27IgjK+i6M6Czo+Mz0Qul8Sawxl9i6jGvz7G3FDa24s96tD/5mVtFv94v+IoOgXNx3Dl+gkzem63gc9qBYDEMGXFjDKD6G0/vZkZHxGvoxK3czfihsj32chzWJCl3edcgTP9lIrzGBdjjX9SHBA3F8fxyfLOHyu5n1DaliYAd5N4n2hfYCvALmHpGm/quCnq1UX2r6lzA+eSIWjvPBhnVXONcr0MgppyUWOCM7eVQOsp5bLBLfOVz25wwRFP9wdRKa/qP9ArMpfEa7Q1M1Np7Bbh5PoglRoenmyJZbva/SNhSC7HgVHzLS5j6grYeZIo3ehO9ErL5dwsazBbSYLHqTb6dcjh+Xq7cNu8cKPXC8NxR1tMHaQkNSknM8f8cpN1AxgzL3GnbfxQ8RaFXpdTNCdnPffgUQJ8qeSq8DkuL83a/hnL4ypnvaSJEWKIh0VHHL+b9eURK8or23njXHudF8uvuJvvEkDV2+CPDnxwMGNBSE3kuK5Uy/fXbypmstuL0TfEo+dUqgdTCQG+obWP76TC/oSOFJ+KH/lsDla1Rw9SlR1xXXGyQPj2vp+mFzut2LbX2hdxX5cAePwpVAi5LRbd41C/TjquKaPga0Rwean9DkqUfUyL1ZZDEhPVVjAeCmismyfgMkCt7+GJA5HNdx3BTDb7NBSJgnoPwqSRVsnZUPKtuDRHMFJ9aU4i13YLRihWEGOWn9LXJbc6O4+Ot9ol6STU+j0JOl+izCt51x5luzpD7Yl8nMXHY+1a74rdN9TMbHHer1CMqfoDCelS0n3i5Qg8c2KZF87s+bilKFsRLuli8XR4v6ppz8rJh29noufJxJ4wbA8qHB9VzH8mowYksQfO7fgd82KVoJ7vvWR2E4ZJNVeiHZM//AW4HzEHZVhI2nnwyqcljB90FcAypk34YbqfuUkrvG8OpHStfCmv2UP+gkH/K7dkVSEU4vwoct7jnaXUxuVl/on7xDnuTEu/pKBVGM1Br3Cf/g5IbnSUf+S9ulz3D78fnfu5DdP8IZb+jBGucZb6B6wivN66JlxCwj0zS5ew05f9sRu98iHwCh7NT52Z/k63O1s//XxaxUMrlVUrQYAAd9GS+F6c139BJrkJw8Lnwju2Nswo8jM6XpNTPrcpsMH7nw+r3a6GidyVUhBi+VDETvTzrl9rrZ2HQj64f4TBmiozR3qcjZ/tXBvVPQHq+CuX3+BeZ/NWZ/oUWA6q+qRtup8xo5TfQAPD4jGZCkVrqKp1vX/mgz2zb7pwSVLprR9b6I4oTtNw/eRded+rE3MpeVQXZuayB+ZK04DdsFFhb5uUEKD5tJkfHXpuHo/otVldttCKg2k0N1pKPkXvkYZCiqd6nJDQM36mVVgKZ2qZHDaSVQhZ7cWl5n76/aAUvvY0/hv/wbhRtp1iG5j7KnlsTW5Txm2YrSQqX+OjMIM+TJL8Nit8X/mIy36Yy9GKanC8aXFRA5loZ3z9FuLreXLYX7E4YnEmdPJXjzUJsq612obZNyuUyXjZEW9PY0SgJbiHPbRO2hzWyJhNUEU/Yh5wq9mL/MBdRt5D2O2fHj2z45kf47zCd92oTvBpMp8RMyF4kd98uqPkw+ntZoCBDCKuyxEl3cvNJ+29KsGf4/OoQ6yH0YE3SvwOpUFn2OPh2vvu9TMDZzbFcddGbV9knBWT3VwcYzdnonAdVmhvp/qe6TSfhMVYvqj56WbbdHGz0KNGCl6iv0727tZciygYDUs962pSwgSUszOXfglN9bWJbvWuS61wI75DCC5vbeafcshhYqK+wN/Xu5TxXZQ/JKCkEnF+ti0CMaQmyELJM1I0kAG28SnXjMOEZPrBCgh77Uolx9YttmyueQluI7GXBBUF6zc6bqLns1st4wvU8lFZByeadr1tFZLCxEeMOHJQA1V+NPLiK3OgO847Ry0+rzugSL0xHul55qmqIln45ijP6mcG6fPMIFyW2qkisOb5ww31oVN0o29Wf8+Ew3vkgWRa1pWQNXO24u3YT/cBigR9t6E1JZBcvgkAtzdBdXQmYjjtzg4Hxij/Pr403qfQZX97KPVV4IzM9Sy289py8QDplP3164hQiAidCBC5k2K5+Rg4Td7M5LZP1Ecz3aWBaFv2aLrYciYzmRke+YXi54cXEkEHSVgR1H+KMomj+ej6qyvZRGHv6EVO8I0IkpP5/bkM3QFX+hWrrH/txM+4Dd7683JnVyO90Wz7t70t0nlnHIdIYSl7nwPdR+QWA92MINScNX40Hv/wp1sebifyyU3YDnwYVTRPlFnhb5t49YwYpEGDqCa5wjzn0oDqBHpOFoNmoOVIcec9OBXcAvHv9OgqsPV0yrRl5PkDMpu2j98PIrfovqhVZAVqIxbtPTBFlVOIo8uteJIfXp9gCqJLHoSsdg9NwvxGUdLa9CPhwfelPXop9jLtk06G9xm2q9Njzn/6JFKFOdVCXgY+JHoIPFOgvDoaWdDFz0NRw6OZ5yGOPjq2gVxGWslksMjz0zmnXgvZfu+TKrJ+WoKe+4CxCoLNsN4rCiHigNmdPoa7njq0sWkx+0p+3807xaHvG204+pS3HKxps+HliE4lKztD2mxVxbHroyQGzvwMzACh2LaeRnRoCOgfKz81urPRGoD3/M6MUh9+/gNep8U3lp4743IcNrXs5W4i4Z/3RZUuuWBe7AZzx5MNkbtTsNtWB4knRWKIL/apwrGDZT01jELbOmXDMbmFAnUz6P/23MT/lQRRztDNPffOOq+V12foJcv0W8sVlP28tqKaCPqZvIcz21/a+6pgzkrd/ygg7ok7BcGXsIEGXKSt/1Dgnu7Pz2NROcnRbNUuOXJ3XNODYrqXRoVoV21oy5sqZ3k+gv3mSe456OlmQFwsGOXDeetVSYaO+GarCoey673fEuvoDUEzljzD6J7UZYW7mLK1/bpFW2XUejcZWylOuUbpVMxN+33fWO/n8OfCBjh2FyxnLL+a1JR2j/FJ8FeZYyuo4chyynxBwYqfO01PX1PjOWDJiv16csirKrqGLiHoBQNYmm1HfM5oRu/4HG8DSuw8C2sHqF+fy9fHUeY7n0WVzXWcoBqucWI9ylx/4JC6I2XUMfU1pKBofVoztLKbIdZihvB0S9JgyidYhxWSf6FIvsPey3tkBlfn7NwcRCFSKwj3xwHZoiqbyQ1gdA6H36sg+J/3qiJfY4ESSSvrfSO/awgPifWJD5VD5Gxu3XukKkV1w6+AirzSnFGk7zZrvI8sdfMx7kv827NEKPugYnu7qqSSVCSLu/Z8QwCMKpiS35VDRNAFl4+p+9jsCk5b0yrnYfz4yJsmkK/g3SswX+M5r+dyTC7Bqn5EJioUyRq9jxquj6Th7D0eGIL24pKTIEit0l+PX2XPGXuvS8dp6qLrHEuugyVQFAjrL/nbeVDH1GqlTwQUo16Wt2upJT+DQcTfptUt0i8zX0dh07/CmqGPfDxvPB6kipVn7NEgHI9tA+ErGFtZWuqIQisYCeFMIEHy7D0F5Tfk8Oalpfqe9veGQpO9hzhE9kXIeqG7MCPlakX2G3hDN+vPeOY/PMUSZzQs32CYvSw5CWLY/+7bGE97wdjx0N0a66nFrY0NVnfpDlrsnmf3TVZuPbX3zqX67QOXBHnW1GBbA8VZUFuwZAq0i3u3Ky5ACAkwL/hiY8YbKf0w11Xs6Sq71rKzXp1k4hziL5DBZY3XaX1UNgkI5la1qTjWoKYETIdL2ie6hqEI+1k6tT2+kk/uCeMZWTqzoO9i0HSna5rjK1qHHgjhuEn9SVQuJL6vLKfqgH1uNC9IaBcg7znU/BN4WhDC4vNDSMY5BEuuKSTfCHSCWBnW9MP09xF7clqN0Pb0d410edGfOKOGNjpCrdeNTMfYmKO2SNZCjjWBYp5+HyYCbJwOCVouFLOYV8jmxKp+/bxn36jMGz2cs4WqjCv4wPwgpT76QIvPBoHpoaZ84NH3/16MSMCOs/TxUz1QIcxYrJDhiD0+hTpjG2E+jWsjz5Y6yndg+THErU02eIIWX9neZLL2diEz6oBU/UH/M/16e5cO9hhGLJckU35eLZSOe8+JkVycdsm0tz2EtUhtjKlUwhxmvUNcRS3Ek74RBpLmIye70lYU1J95k62tyU+ZU9pXAhq6qcVm8hFs03+qy+yRcSs6dq4HaW84nKbHN03boN4z0Jmy45Z8HeErNpy88tbDlPP5cUuhfuFP5tDg2onn0HuXE/cyjZ2bSfPVomK5HQLqG09sZSZXJysoH9Bep3fU0j1R568jYe6oot2Tv0Kr8pnQ3ly4afTQt5B2W4XywZoWewga+qzoI6B5sdHLmnfBGcH30HlhQn3bvXLDv528O+4T3dcVrvUMV0wjGBr5mJJHKFZXfuDX/L1Zy4uS9Wcm43e0z8xxXy69+HWvuLVbjrxMJDcUXEbTErkCZ3H+GHP36zMBO3k/1VBzlT8we1dyocRX3dDRkpl+HLepkxnTrkxysvXsZlgrpLAbm5ckht24ezOXYZs4Ij9eJPK8zaarobLEOtudQJicM2ZcjcD0csQAV2QO89hYMNUkUs+PrUfRW/PYLSpv8lSTUi0OC+EX6Wnr5lbaTIYsZPlY6W63mc3UNZYu7vQ8bgkWq9WDKqVdN19NjzsXfT/GRd59Iw22tMxRyp48Yz+6Nmkuysfw9RAzu0c5dggBBiebvHWE8TOpargjAxRj7UergohDEBbS1b6G/ZvUmFKH8mRP3voHEsi17f8gz1Taog6hFK4Tphor0cY8qNgv7oH+y07ujblvs6FvsrDBD98nreIn2Nub+nA7Imr6WnsBPI7ecsPMjfmQVdnpZXvOVRPgsiuSikMhPjJnbyeuUnwJIUre7Kva9uMdfjcOwRvU8DSa3d8cW48YT1NtY5sZ+f15dShoMR9IEFREWb1XfVtR8L/h1yRs+FvVj+S1FmF/lHd7Dk/ySndl3rMHPkZiACwu/kDR9gUEyRtvnQVmuwKY8Mnt0ozGmplnIv1O0Z7I59SqtbK9sbkWEfUx+Sf8Wwa03fwz/6IGI76QmDv6cg1cWv/VwelgBz/VvdJ+PB493ucA2b1CDW0A+zQQAb6t9Ic7/roR00snhjH9tLHHQFV10oSdqzbmidvpJFg3aXs6UPFRMNdY9vUm87SElS4Q9cZSMy2vhjpJg9NwtdqdR2xRcRlT+oymewhyf4YXNIcs+P91kNPfI/D0UJX3vx9BF9vunKcbkNpzLX8qdx2u7MfXKgEclunNSGxudYlYiP++mJahTYj03JFdQVSNeTSv5cf/aV3jUkgT5d3/Tvxr7/rloVaHLJPjIRxSiGp9BKyw2OEkwoK4ltnTlle3HsPoNSA7jxtPO5Q2sjyTjrphI28/+8/ChL5sHy//JftSscRGm7U9fD6tDrhT0zL5AwMur0c7moit9OrlExCvT3ev9Pma89REiewfbk5bQx9DouMr/PH/sMbJvjBVjXy8jW0g7+jAbZZP8T8F+LYgegeQG630br5011JTtvXs7ntShIvDlStXEF1WYWuxXxF0dJSggzbe1N205F4DDzZC3o5TyCfHHleAeYil+LkF7XT3yBa9SM/sVzmazzjfIDiQybd1yP1Nhyn3CpPouLDIkIf+ZhL50ZRi3WiRO3RHHRajIioUj5YhPXHztkZxK10fmuKaHx+RpVvmSDQ7Sc1fh7O5YEDNiM80tTOQul6U82TqURPqLlYS763z9+ahf80eJEmRZpJ97R8FxRy4NvZwPztIXbve4O2xkOoqlK336Iy9mrGf8TOMEdh++kzdPsz3NGZtv6CkPhZLT/U3HNaMhlUb5Cw9C9MMa94xAhFLksxAsL+16QOd7VISX3jdC+nyahRUB80oLhHXUq0TNw34bm4rC7Tyjh+xT4sju81UpU7bm1l3MyEoOV2r3kbQcjLmabNDiETD1czIzjucl0i7EOqetd8WfT8iVEU5U92vvZGyhh+DaF1h0GKY4Qvi3dOjwpAKOKOij7i2lVsymmSHEx/BqLSXdhdfOSnjdys3IGJEv8IYbaOPKOTHtGbqMW6uOMSdt2bRNPoMieh+SdnzPBK4t5MRzc3jd1/5SmHY2ijZfbO72f1g8jPTVo7xlytEG2vWGrZ0RWZLd+9t+8AptmYquEi7tdxCt6rFQ6ehycnesOpz1eGV4sLy0NWGkD+cYzlGs1XcKUO1zIsRXni5mCZqDs0r2y30/Db4jdSMCsZc6y31SIzuPFP0ksEmK+m/pj+6Z+dI1TX+GbrmhDvKfhMXp9s1Gmu6kOLLiJL9zPzg+WDt54d8usO0Q0K2auLz46/RTc9eh61kP3usJ+vgmxg2r/N6/otJl34afXalzew8PYf6KwO4XBr5mZu6aeg9nnWPfLpQ5nzwrjQBsA7+jlMzSvS0pb4UgBfTueLOYOLcX6m2TEhqs2pSYlS6Y4O1zys/pE8igV0Yj/7oPLW0/B4B2X2eYlpH0lMxCmnBF3HAbpb2ITz7+M/kWE6sJjeHYsL4ABM9RJibaNaylVfHQQK82wa7kMC4/nuI5qQeFTS2yXu4pAlZ1Fbhpr0H6nXlfv+rPlSQ+7f8XUL03XYl2qKlL9RSzuo+m/KWheFjdUbzDSW7cysDSP1Fc215JZLu+iqppqgjYTktEfjqWg3d63zcYPkxE+m1fmNmI4ThTdr24ktxU/b5fUlfv7to/stv2uUxgHykg/c9fU4K5lqlCSKkbLuUl3EWye+1oksGymHRN+syit+H5Wc5/a/VQTIAPHidQVD3kYon3zHc0u4ugCLWcY/5EZ0mdF/me9HVLcTtjf/3//U/X+lKSweH5fXLoFMQ11PdUA4wu+pD8SAN+4+NVdoI4M0fRPv+1kFYOXpH/hoN99nddPph08R+rN/m0IteXJXpDgNEBZOQysbJjF6shzso5Ul2PhcAfTSeXo77+H4j4XjmabhR/Dbtrr7/VF3H6QC39mS0QuV6tOKPpJnZxSiG2OMoONnzak9X2CCjVjWFcteP5Tq5snul20v6V8DnbAPmg30eGUSaSWctz7fqsEYv63fPbK/0lE+AD6nxmsJHt4YGHc3rybN5/cy+vzMfGWSPFrvStilAbLN7cmtttjlfEQWbSuw+3moSH3ripTRaaLqfRgVsO7fXAxCziM+YM+4JneOOwMe8t+nAhVX36BU+HER8RfUBa9im6z+NytWP6r5CA2zLAdi1eR4nb184p3l3jdNi0aZ4PMPGYDH2q0Ghtdd29Pi/b54f5ZdLxmsHHu010WbMBFz7aAU6aftsP8XIWG/9G+cEbM01+auDL39XEKV8TTvImY/5h7TZ8tT1V+wL0izi70b4aZy/wXh3I8HXadBnL1ebyRm9q3T4pKPPBXP/UFllZ+FPo/sfzCp9770wQW865ZfY+j37y++cfRfZKFpqSfTVr4rOGJSWX6EOxCTnvdDhqKrj3imqHa2XJ5i+k90g1CfR3rWYG9PngMQy5mmifuAVHYe0mJueWeZfa25RbX1xVm5NoyiujypfyAUQHDPOOFn/D09ydL3s5E5lTQ9GObgHepwOnuZ+azbPNHDyzi7DjfRSTN1sn/6I+3x83ByQze7O87xtFwGYRv8vgorXQ5HHZNsfSnG9Kj5tyWXxIo3MUH+u34kafmPViG3O6/ft8GCHqHrTBxenXsFT0DeYvm2sT8kj/7WqVcfZN9uVvi0Xx0/0W93N3HOhofkf+388unFy/go649U8UvTOPG3KgIbTLO3LSHqn3kP3HbAJEgNsiz9P/PrXngqC2yYKDeZFXBZlM5c+y6fqVX7UQfmiS7Ic1kBforamwYO3HHEyPvzDoajA5+lciJm4/utbGeWGoeX0So+ygDx9EOieVzdDzYPvrqv+1VcBCOxDiEQeLaX4A/Z1e9F6d76eF7FZ0nkSctKseoHXh4JA+ilCL1WDCP6WHfazd9ZR/Qf95V+IieQthQ9JDA3QVzIHrFrhAqhUZPqV+Ku4cWz05Ilf0t9cM/AbMpCt3TjtrK06ZTFRZrx1QGtXiKPzVGRJ6nwLWBKx5ka06/6rNpMGK92J5BFeB38RCg0buyOqiNXzRK/05H/M85/Htf5g2uXJ8VPiY8KXzHBMvgdJTkkiP/br47FOj2ULy6uwfbQk9kq7pOHeECDZ++pjluUHXtT+zLf7NtxiaYsnq1j93rza/FBa41+kAMTVET73brL+n//H/6L3l/MuT9sEOxWiIyDZKNZ4kcI8m1/7R71NuprMhK0jpfGiLrlUBY6aC18+tXs9/Whf9DW9i/lgFCrFqzrWpbq0uIcXK0Kn5A/K5YjCehk1WRBPrSfmrvIadpdfk7Bjb053IeZeK8H6lHtHuHJvR/hlzofPyylRXfDMaY3VScQ0itybC0MmWXrjB4fzc6ih3t3HneOynsM5xCPO4l+iK2L3YR8WoIGHXt1d4INnLwoVJt0z7Bnn9e4wS6MDZjuRnr4PX07leUQnRkh7IL5ro9aEzBHubq/INRVot7R+opvuxkWlwDMNWPS/YIjwl74YmPYNtcnj2bykdHR7Um74nofQSxsjL2zgpuA9xEYQmhTPpQf04NEmPhBK/3g1ywTRFRhTgnxntPe6+lggwb/H7UI+7tUs/nxr5Npe2bt+9t3nIdttV6VdOnAHvWl53Lnds53kO9DuDnWOXMINoW/9P3yP56rZKAOYR+e416MFJfPx7VzLaeNBLtaFZkxPVlXyqg+FTp/FVlQ3FlGf/SMjkSpI8yHFGIjR3QFqnKfCnewq8fN0ek/TvS3IfjZLaUTO2L4/lKN57MPS7RH3gN8Fw7KuJZTxQkr26RJDSUcSK6pruf8ZGfvQc8pproMT7GEkviVbT8TaBAgWnuS6vWTUPpGb/qy8etg0kyhPKQS+XirNsEb67SxR+8U4ru8ZyYz+pTD8QQnZ1ivMM6cmUVdQWWpXH2Fzm5Vc7L1C0tp9Dym0BfihI1/WK21BhXP392q7Ptp+PLDiXyXOndcZyFQNWa3EP7Gt4rKm2so/JDLnXzumxQNQszWxyrzqrzjyWTPxD7/ilL9N43jck3M/lXyxI//ux35AiM1qCUmQ98ljvaNnz+dAI2XlnyeJM7P/saL5H/957QfT2HNm2KfjkqquomVQrdflQyW74frQsto1c4u/PBwgqut/Hdm+JeSSEWKOtAxVLXtqlO/xcMWm0qnkgXe1Nnq0u5Pppp+GQ5ea+cOn/IDChXvmlehl4i6dsPKWBlB5nyOaghn/0+0Pjf7FTXKEDuVeMlUi63XU5HTVpt93/cxu72rKgNwt3sPYPoMsckdTsAt6xqx19DxhRUrSEPKFjRZJV9HSlKjUwto/k/77w3/3V19S45/MNdqHwUSR5iSVmunDPkymQn1VDTDZ/OGaJ8SvJjwfAcqPipTJLKMxlqWX0ZSVJYKbRPwm63/phAOu+BnaXNMVItZXhbm1e9QVDBRdfSxprzNkf+c/j380z+jnycMmkOSRwoKbkvuiV58qJC64Hnc7Gu2sbnQyE7+db/WzlvKWjFt431ja9Uuy2G5BfnuAvS/5epTf4hy7HWkAFznGSJHDQ1VGwcWUkawf6+XVLX3prGb+uEzYfo+uvatN3pV+A5gnvCN5/KAZ8igKtSoFnQuP5oRcPKdRBD0YrI0kYhVlAVIrCpno1cMSuKbH7VJZD806dHFpHwaCnpzqHTPBHr1TaqHAmvqKyIH0ZLpIxPUbzEkNOzBPLJ7s5m0U2HfjDL0pNaFRIwC51K3ivVjQkFZkJA9cdujvmlPzZjut9tGTHVguKHyeu6IpVuSnaqKXhJmxZ5tsgrijNMV8UCg3PpDacjHT3xjBl2LoODNX0aCvXsuaESGBLFbXfsVzHQk3rvqr277RkGubRqNBVQ1SXwaM1Z66bHUNNSyulBaMuPLDEPBhELlUdQy1lva3aj3RMLdPh6q33hrJTD/Rl9OL4ZOnyb9cJEFpWgpaz+z3KVXy9Tpii5z8jwx3xnpmOt7jnYGxPerD/SEuWiai8ttv0wvERsREaboLQFmokUiM80fSc1zf+Mc+HXvqpCNm9DSnXOZyFUGT+1pfIwMKact1wgjoOPeluU7nERhbefijhVJImD8w+LUzVcr2iKnxyoQu9mMsyTtOF0xtSojRWib5bUkJOFY9UWFt74JhYkOj4iGnKpFePShlrbOhYkxdf3s8GL5Cmtsuyd957vnkjeuJvVAeHQEZz84hWkXe9oxcTv4YfgL5hQMO/KxzMn+kQ4TrHxW5p72WUCAzXn2t6QM2BkngYzak95aUU6QBMpmscG5cUPqUO/UMJyq89GhPh5MSh6dCh+I+er52YVL8Fr3t+T+skDRTwG20n/VuzncC9USnqy50Asb2u648nD6acoVNP5IwwOGBWmIrgKbTdZgDqNHf2Q7960RzUYg8/G+1nePCfu7k/VHnPJlGwvD53r9+Uc4PyhGkjtIuyKGTu4XL8NJjie3hPGieTB+Ekpl5Lce/0uldiMz5hQDc7bDzL99oz93NmTzEOZU/JcbslUWt8WD6rczXrf7ifAe/W8VCUlpanLsYjJoHmWdqnP45elM6e5ZK6IY5ZhzPq9HKMb1gjrwV/mlUuoDoCkZoeQtBMMmNxCjXy6WAnKl4vWpRCiCmJ6YI8S2HKLwXW2VW08ezmUp9kKrkqAkkTzN2OnPV83TZgBvQbsY94yZgf7eHNyxRIOa1Bn2UehjaABFRrpYTBcFHbq6eabBUWarvapLnFHWmW0f/33/JIES2v7/VowLeHyKJKlplLNtlIK8Z/3BvSGSlFqfR6anGWtwGfOu5phx+erxww9JQpEoVkD86peIJp5zzHuShM9/rlfS+TXSkdb9Xx6vnpOMLSoYJ0872vcUkBU25vHV28ZCbzIwQ6fyxOvNOZj3yE+dhDBXZDopEEM0sTaLn3/E3TN1ZsP5RO1GytVi916y6gnF5jjNkvneizA8fGFERlX87isQ+lhNvCxUIE24L6obtnJbD9oRd9LoIvxiufN/A5T5KlxH17BCNO9BDTuAO+LiVgrnOs5yxbrXniSFDfen4fi7U5dp51GyhqBRYojllWxHiHhpfZkSieFfzlPouf1QcSfe12E/0D1fZxafn1TpgFNKgloUlDcNy9rGGIrV8+rtdw96AUKMDuMtUr+dAohinKhh7Pvaq5AXIAZ1aX3NpQHacEja+T0RtWLBd2Cw3uej87zXCDi5O9mmfcTpYwWCXNW80rU1a/4/maUUvasoy824C51pOo547KsElE4hJBfCjxg1OJ4ji1tPSQA/0OOnmxeXIaZRZWTgWMGQIouZAI0W1rNmY1WHMBhScQQaozEjjoCuPoWKkUGR0b0pJXIkykvUzplxlLEifzEIyAzgNRJ0ZHsVTA5lDpSTy1ZP++mLAU9nyHqfWubCZHUPkRrzU8F8QFL1MeF3UPI9/aM+VCpNt3Ma4dFKyoWxt3XeFZ7OhgeTw0Vt3fN9E3BYs8wNHnzT9NJwNWOnFbyaMawGHivcL0PYYtRShuOeW3gk6WYtXcv5sxQY+g6TWfPo281CDQ6G8JG4wVnvpxIcbMyFsIg3uXsjkVzB5Zx/6cs5ot1SwymtJRzLw7GpU4Xydxdw548JvSac8Uz/kfDbjLS4CCSPH7/S/1pKiIuXye2TP8WfHUcUg3OY1dNznTBJn26lzc011Ua+j2fxTq3ycYv/HeQ217OdtaaJhrAD/OhDMoe8gx3YpXtCuOcaU8V5ZW6PQXrkcKlTLfX7ffuV8hUzpGeFA6/NVKHrqhXItTu5CPLeGYw7wIkeedDd0Y2DX5X3H/e9JRNZG72pYnqOryGCICIckmRLS+QKFEnk2GS2on4uXPlUZ87gF1dx4QCtkObNd7ji/efa1Vy9zxL0iVMZ7KDog/9m+OlvC/IAUwTTafMSOnLoZiJc1jVIeBhqeTo9TSv+p9vNJHo6nZh/sh19qbE7Sd0bkRSvSk8htSwLIR+qyJUpvyclcQ71mMTvjvC+6z5Xa8NnWntuOWBTlHd6yH/exkmKyin68DnMegHlecyS9vkADEqfdKKtY/eR83rchhaStK1f5v8zj+pzAy3c/Eq7kB9bl7F3dlvapcJ9fyG/Y94qBK5hLthxU8hUfXxTw/YaSVGmScPQeuuqPrPvQFLRE0b5UwGkp21qDwDmKHyc13rk+jASFq7e/K6VI6Wxqbd0Qk9dYJM/erL3iW6ISdZ5RfeK+oufRvsk5r3jy/kNYavLmXe0yAqhyZI2j3VLFDKZxyKWn3ZTIw5LNHnEdB66PXJzVm4KFMadnXuzbFiawxLxaMfadBUMvlGoUpN084MmtmgqpLDvtvTtlYCO92XRT8Gay7/aTlyE1CWXyYUtOzNKGfEq3mknJqxriN+M3UFru6lAmkL4amYVj31mnVDzzoHy9rFw5S7bavyOowLUWmhhVv+AaHina+Pdq6b5ZLLk+lgfLrysLSNVF2igIaJXIf8n3TU9uyXGHolV3XkcTT962ImAK9N0TW+x26y3g0M0AdGGIOks2nR3oLCJ4lktKhLTtqSKCv9g8mbms3dKQaqJQVXpOn5S74GSbpQp0WfskDm653jxkE6Je6L3I27hDxlWmS69HEWeoxrpXg/W1JnpVY4Y6cI7iGYsh2VX1Jn3W8I5fhHOBWNWWf8836gIQzFtAVPMHZyS8N89QigpWypPsYDtIaZB8hfiHrdvy77GwOjAJUGvx+fdxyJW8E6QajSvXQJmB11bmYctCZqs87boE3rHWz9w310rPBH+uZ2H7vmnUdcZdOjzjQx7HywgkU9q4yfMQNz0GhpijM15KttaSJQA+LmVFOeHDS+Dqfj1NH3bZt1PkGJF7udWp+KlVDssY5DBE3cyToiZqhHfnk0DLSUZPJlYl5duBI9g45J4mc9t+gyiEbLANDKP5hjTIqdA3zot14MHS3wB54MBHc1LO9MVqM/OT3kmaWfA42JdWEQ+9zbH1xmxsuG4hzMZH0xNq0kTZ61ZWTV/D2AdudQjSJVUsnHzgUXJbxhldibDY5oy7VhV/+COyq5U03rCMWk75Cr5hG16rLlK5JDo9tIi9ePtZsidikekR0n7u54USVa+uBI7gr50YnMfkj4ukauHuWsHM0bbZmFPWwdWQI0ZYVR/wje3e7862ByFtxk+YR6GooiKcjV+9BeY51/P096fQDYGx+lGy9OFbVe7sJ17ikRQDW1Ge2iQTwUnyFfo04sie7M5OxtbD+MfVTZuLVpaV7cLOyMKobVbSb/x+qRhkO7RQ7fNyX2tnDimu9K7q2EHJVO7l4Q2ySBpGXm+vb968jlQPB3q0jvQMeiMMXGVJz8WTy67Ojp6ZmdEUWqdcCuTE9clHmtogME+S4y39YVtDRszMbFgYb4TGdlUk/PIPL0qpL6kHJYbR2vFnrPXo1IEMYHBLYXOIU88HapN9m93ktwDozxS78PD+NIe9Uc3rYaSYb5tFIU1Zw2NxA+bVrAflW7fypf6qjH49ynzmcmtWTNgFSLYpW5aw3FanQwpqxeIIz+PlDqis3yxmazBvuIZfK4yDvS+UvmnDR5deo8gPBFL5q41vwqo3mWC1vO/N/SpqprkemA+r9Gls9LNsxkUp1B+FScFG+/4m2t3xovdAfvKeSobz/oO1IAWHXYOXdd557bcZ7LokNaEasJ4PQhHySouDrEuIlNGzMlNaK9zRnlRdJVdM3gkgfcbixwTQ5igJnszRrMPb4F50KXq7N1RcZMb2/HEfTaLakD1k8zT/XmPp7eBmow8P3F+eCpYeZUiKq3n5ZUZRSLcsj4/Q1iW2LiQHE8MEdQCunG2pBdfMit6qmHKcxujP+Fy96vPlXqVedKt345edcftamVDQ5vu/1K+6ebP6I37sofYY1Q6/gDTwprdEo6eMz8mM+qErqrqqtJGhmM8tP+9f1Gd+Dko8KBTl6PF+7Fpl3RqxesIDiW+iWZE3kKa/unVLKY4iAvV/AzLz9rMDo5xNXnydgFHbeOO6w7VVJ6GoyFndWI0FahXbRVKXVkPEClY07oH5i2mPrI3f61tHYX/sHpA8pwlUZHofzRmL8hUsmWyTxzBcNX94jsTQex+ncbTSspzuJfnIxprGZbYcbIXjULf899yq9Q/+eov0jlFAu9MmBhb4rktBdDDxKaQqOrtmyZuusNpHFahlJ6u9CYACtRsTLRyFbWhBuu0dFM7z9HXW/xMWNag4JD2d36lFU3DPxDXmDrVHPgmONUyDXyJVns1J1YgjNjVryaRumTXHNnWhT2zvZrxznQ5qMcJE4fJqY19Sbnbc+kdvR51VOl2x55m6tVO8gDlVCJfWVdQgeJiUicBiQN7BmzXxzJkl8m33tT1vVeUFIUoxWWRXJdIDFjkQ5dHWpGCJZhaoPIkf+OMyBpL88MBY5qETv+itOw1bwsAc0LTaNz/GrzaR7DyX/MuB5PWV5k21lcDoE/zJmk72a5xnn/GDLLjBAFqL0VHNt2n3uZ86FgmIXql6wa7OkOKHyA4Wh+evp5fsy/dje73skp2j3SOjyO/LBuVMjxPNh8Mu6oS33dn50xk2IydvRKN0XZZsI4G591/+pvXxvJ9QYA+vfg2BRAqeQG4nTpqnMuObR3ygzQcavvBDjzz19Uqy8WbzX8/7Ou/+Bml9S6B3s35zvBvwioofbA254zjWPNX4W5rRRA8F4HrWP/LAzdZKymPlmaFhatU1Ab7wqDQCkiclLGpFu7sQEYdoeem8nOvTgln2VY0/2uY+0vHEXmkDdEpM9yR5dPLDlONvla86tR8p+fxDdNuwCbAIzY1UJfAshf8XbOqDxCfeZnvSY6H3VwUwQpM6a7kZAsRV2xX1f3sX4pZSpR+4kt6CUFrgzVraQgPR/0m0/Db9ArHYh371yLZGLtmfe+hHXChP3kQv20D12DJ7AamfYA0omYXKm/JHkcMK6jnDxdVeZfpqyQ9JeztM1JHtyY05N3de7eZP8hexhXWvrkrZWCa81d4jX9M5QgrK+TfOu7Tb3qC9NfrQmly9dkErRpqckDkkw5umJlGWyakyyVIXlqmsIbpbJQ/MMBqa8oJ6Ie7W7ffqGrI9WUhOcxMJ1xJrEInOniZD584DNPlXQbaDWUzR/BiBu1r1ffCDNwtFeBLXOxduZ/aNlRYUG2V3QRsrVtZU/6e7g1ZGmW6pOoAx40GEe8dOkrR6qaHUxQSO2G07Oa2Np6ZFkuYZPe5yw2aCzp5RmoDMeNQTexb8TFic5pbZSMNe8n5qf6QW3sSpG+37Xt/DFfulnSD3r8NVmykuoh7h49/toQQVpF236JKrUyFTSzcSzLV/qg67fbhOkLU8/eH+vhXuH11ZgJMkcfhtdvIlAWvNzmqykiwebsmY6aF+1M9hz04h1fIU+HClhE8ITbM3OFO5ZdX7fRlsMlv7fUf7HnpR4uLI42htP2rhR9BhB1lrZLfhTE6vppRwthkMo1Vop/qsKsHg830O8zM5RyVe2sdNYmRJuUa/Dd6eb1W9riOyK5iXUjf90A1V5jqDRvYGxjQVfowmeS3tPnMaXRRbUUyi60H7ullDqi3V79ovHFwHNlwNusi5oC8ryjKVRtnhcZKb8tYwJmQpLZnQqm21MAJK2qsDWGfCqGOd6vrdeDKz9pQystU+Xayd96/si9GVx4920Yj2FWPUuoCUipFCNYW+vjuHGKLAg6W3rF1HkgPFjj3vyRb7T4E4FjrMi2LlVvo5KmOfmQ6PuxhyNs+eUbAl+Wexp2qIIl+3nQ7vR/209X3JBwDY2lKeLjsrX2sg0uu348iiw6Be323ag5PF979Bunog18bT/uWH0YTZ1j2HyqHYm5SwfBm/nY4wW7Ul6d3Sw4n1dWUS3MK2Fum1bXOeyIPHGsR5jn0rdLjrd/HzgFFHfZM/rWiTu56zfdMk8wLz4esLcGLdsEIvSl8IqZzf19J/eSvXM4DltZXn6W9Ila+Ax8977TqTzeXa0/DhOvKV5tvVcnk456GZ44VSwFbeExScKpIpKZCrF117EJLPrmZZKPLHiLyyM888Cq3TEjlj/KMJ0PLfiKd+P8aAqbNi5Bu9NXyIK92GO35rO0YGUy4XK8uQlAaIcENFj8W+g8o19bmQNQPuUKxG1YQ0jzvWA5iedsd9YzXU7VHIvTn1jl/L6xmG/yV0eINjcbnt5lywOCymcvNW1d57UK+mMD1lG9833t1OtjRQlcc6tI1WQaFhxJhWsaUKFnty3gaiKyb7CXu0/tqAdzB67tXiR+5l6p/AvQdq5Fc95WDyqyKmmJv8woeWpLfGqpxu3jC54KaquzuUclp9Mqt2P9eGw+w6brq6aM57AzUvtNczRyNB9yBeKwqy3cpMfyZlFHMN6NthMbe4u8fSy3jlpYK8faei89XDHuFllBpOzen0XaVvINHJzKdL7sgcAn5vKxePn/ITscRcewY/wrT033Xy6tmxx1VaAHjnQR3kb9U1GcfdB9C5q8KtpQmMCON7Etodt6AltgMbqMq+Hg/mYjQJuOUEROqnsDQHFBVpd7NQ+stq5FZVRmuUt02DZsxVNu8qG73eWii+T9beTYfFqAsJS5RPnaoMOXjkp02nO2T7Jv7h9SD6oYhb6XU0meeEvzyroZwbVEwcPEJErkTrYzP5M8cfwJ4Uh4CwQAx0TczlbOHmXW8I4LtvKWPIgHNhnlo9ZDFtjKnx+P5XBDaRSb5RM5BrMXLx5DIdkSeZPUVWj7hel69sB7L4ZCR7oldvrlWfLih2tMpbUqmmIa4MMr31CmPu3ZE2QkuUN55o9tO5XfN85hOKF9zAqK6iF8sHaCecupN0gajXHe7uV47Lmmo0z+F0auEyyCrX+yEH7Jnhzhrhx+rmqGcwemAhYCRttU6oLoHovEECAMVj8PbKiT2BD+PtnSDIKTTWoWQg9U3Dbx5sqOYR0z9zdUwkz/OjPH7WbS/N5vJD8r6HQgmgi+K7JQaANYL3h4aPO/kLJdBZk2NSKGl6dpy8W3rWNSCW9fg2j6Wsh9uGffpUj8OgIf1e5WrFlPROJWDKvhM4FxR102EVENEmyICUxf/qXXk+07ecWdM6VW6F8StSb7E931yX7Zh3XeX5Cm5iCmU8koFjCAEIegXN6X4epC5LLHhqZfoH7Ug3Q4muJnyOJpxYOUob8d2sBMlMKCeHv3kpb0Doo+4Saw8XFyUCD4zYCNDiQKybke6OnvKPqJle8v2wayvN8H1q646JxnoMANsugLuOPI3Ht01F0ohLX/MkVlFvSSOromzbpucOhAj9LkP+4UB623dfboPxYkxUA7d2fprQs8LvVkFsBx0l4+uhQRjTkUQP7Ik07AIogV7k05DVR0OEW9UnXqENBWlUEqLBlmc+5rv3ed3hS/XldhlpInlWj9bZpHJovkeH6Gbb/w5TGAVqL9CiTKb5V/vTW77xMNY90f533/++r4iu7dia5V+wEt7tFE6nRqbZCsr4OKkCTfBGiZP9RBjzHNHK5jsyN6qoZb+A9HhzRd4RAcovlcLJhDJ4AtnRjvTXNBWfr5bXxlE6JQI/2h/KxtDG+rx3MCJC7jPRG79MTgh2lY4llc/DazsJq1mMHNe5ssxWg4u82VmJdX2MTzjrVw8dwGLqsgArkFOPuaSXps/2CPrD/McWoTaaQFQVWfXn5YOzhcJ/J51zeRX4HgKWFULed/Wb2PxNFLRS3q4AVvQ8R4u8IgDpyebZPsPm39ZKXlYc1vx+d5+0e543UfwixSvWI3DkWeryG3/1TX5KEl6GOjrgtkg3UVM/igK6z+GaojxC9G73HUd5LP++ybuv/N8YQ2JZs9Ez7ysN0yLWU5LgPA1C5QifQoVDudWXzLZAHYCDboSYtfzGt8fHb/wzRUJFmBoAtkkSUzmFQWOE7naEhKh7ai3Ao3z4+4ejSwjz+hLQsSP/z//jf8rpsiF85MiGOcjYlvt2vtbfj9j1Aydsp76l+Zpt6YSiV/p2+l1XYu6UMvhtI7nbXT0/SiYTvQz5SLN5J08tnBo5fAu7e/iBYiLDLmzvPqdfJMJv7bHs36+E3TfN8T64r5MWi7n+lt43dwiAxcBUTf1p77HzierwO7Z15CqvyTgS40kr59oC7Zhlu2d4SwOUdSqdfMV6xzvcWyrbK/46yssIc6SNu7Jy5KPcFElrPbAvETKiVxs24r5NcuqvsKPtwqPSuFOA92S3Kxjs0nzjtfRymfyMNrgGxwCpQ/Dgl7h98w7+WGDKFB9w5hgW17uZ3sPUKRIz9KpwNsJMvmxLNt1nqyp4il37vnwPEih3T7ixBbXzPbUsBmbS7L4f59KQ25hJ9dh+iy6hrObpej31F5WwsP5qunsU6zwuWR3vLS9oXVpzAH46XzR+na/HWX2sexzNZP0W9Eh0aKe2wZXiNIn0WfSspC8CHKW+Xel+O6q6OkU9FvM/Pcf2qnNC2ZcXyg9JLalqq6qN5tndNiyz0vObKp5nq6kCoLHSAbago1fbsJz2CzpND9H82G/24dAjR8adDC9NDnkriOWkTO1JwGkexvR1TtbvZcw5WY8fSsG+Dbd4leKx31Ms8ik56C4EKWLqf3JerNnd2vZ7UCh5tzNdUm6o2V16pFXaRQuHq4WRRP7c3tqnI3x7gazta5UWfJ3nFF9BgPy5txT2Q7b8ZN8muxJZpRl7OOai0EEQbRvyaJhXduLGjrzZnyrfO4U8lEqxbw4wQ5Ne47NKZz3wBNO/1Y5nMltzYWkfT6cIjw10OVcQL6BPfv1Yb38uWOHDZ20O81hVL9IiwNbqynVfSBXrY/0ajwUO5YGVPCWHk59wJr+AS96+H6jwLkvjYOcEqk2ahFe9IPPlWZ6rH1nP6HH+P3htQKZAKV661jCZZABT+KqxhCL6jX9O35ZTkb0y2wDE60kWHmv95wcgrJDNSFlWP9lXAGouCr9wSrdNRgMjPBO9VfuNWx09tnjawiO0QRSCY6VuxCHH8OitzUyC161iYnv70TiG3KMwLkz7QZ27sbZeTJjhQ97MUxxeQoqE88Z6Unn0t+cSTe6H5oX8kL+mIwKlEfoIfDb5q++5ceCZt4ghG6k10T7SWUpQ2PqvotcVB/KcI6H/+Vd99/1j/b4us88/DckQdpgPy4X0QQ8edTO1SM5VkjT5uqGGa0wacBOm7pffHOKrEDvPWhjzm45l7TIdBa5w3THda6Ijtzpt0d/GIxgleiBS+wwcZfKfZ37sZ+Y/z8uGOFt687AmQ9LZQT/TztIFRBffndVXa6HS6TvzJG86LVQn/vdTMumU0msrL1qm0gWJ/PZcuimGraXKqRxqzP641UOxPmtf/kJHv7/+iLBq3fy//vf/3NGts+TgtVLkSs33SDGC6VakeaGacV/B4O+QNv9gTs87Z//JOdosxzkXcByMV6ex3kQHxFvBv2UGOQXIgVRJp6NulzQaMpo859kr7523AVyZ+5TWjDyOblb6pqY5Kr76eXziKxWDfyVl8ohU3Yn0ZjR963p0zf8pq9TrSL9gY+stwO/kHFmoSA645puxXvtpvdIRLkXfjdIBocIAIMxLwvxYJ3533spr7sDK1rvUMn4x7GyOW/o4gx3SP3dHm9ev8dDggfsag6Ey6XHhK+e1n/arwr/zcRyMzjVIMLKjRH723epbIoV0nid+tf6cvNHXeLXdgvU95SKyr54B+24FEGV5v+O7c/2Z9J1Fx5AOmOO1sOmIaanru6DX0S+7nROu8ieqVABaltqYQR8ys9HoN3nu12HokfVMXj6d3vVbbR3dH08DXX+fb+HbFyQPUey33FhettvpiYJWuXQnSRRTfF/VkPa2pE4D7Molht8bVkvfZ3EuXxTsPvu+DQof9xq/Zp7+oVpoWMIcHdGIk1tXBLGWgn/OivRolp2v21JkikZKSBPp3i04Hen1DR8UkaVO/iNLv1vbVd9hpgFCFOWnNMZjCkyI0Xmzqs6iXxFpOarVcqu4vNbTfp+/+orDOHsYiz//xs/1aKGG+TXvohIjEUCq7WXPQsdcbu0JJ0T4uQtqREDavH5+oPhBEE/et+CC2qEvfu+1EuW3bbrhHoe+/jZmXOiDHSYz63PMKbyYLSNmdPsgPa0yO3mOGCCd7CyCDZ+CzVe1HiBZeDhUAciEEAGTovvbiYz9kNV0qPnv8mQDY9o5bpMFesKM3+y/PycfvTjBHnqXAyoNoPAiOQDEeuTdv73zLgSSM9CO5Me9AtIiXehqdH8tpIQ1atIf1Sgrb/TzjN738ePJPPmx/gcf5VHWeuRX/uFKHLlmMP5sFl+zJG9ngAE/IXm8PHA84kqf5Btk3nJq0EEJgxa7XH5GmaxZ7Vhva9+P/R6mJHIlke6wT/e9DE43YP5BWGy3P13hNU+6IXecV/K3TqV1Vnq5ysBwBjpirg7E5d6066MAU+oJToHcJHdj+sfq/TXoCfnrmSyUcrvi/Mm/vQ9NyLo6AXDD8nEOP6/8u2Q6DUfZVcaojrfSP5mPBws5qgM3OYi80TNXEUs/U+6x+Mz9IR05LODGzl97SqQPIX2AT3nyvA6LE/y92JY/uYUJfUKlcVZ7Ln0G+P3VFu5fvDLw70ky2vGKfmpfSeuHRqAW/7p/osUif+yfyX9s/Sc/z/OTy9vchY8G1v2n/dx3UJF1d9ybQ8Fv9Eg7XIy6JHeZTZoY4rx76SzJq9eiOFiS+O4IxxP6m+/xt169vjEvhtgy1msbhenPXiuVL86zIcdylpwsc5BQc40nvKZHYeOgIUM4jf+vhvXYmbTOObs6lNz+66A/FqX74iqwmGfzKLKIJzAp0/Vvue7g2Q/d9l3zChXczW6kn+ZpR0AjvdtIttOG4n7tdj/nj2+GUiF6mI4PU6OJjh7koe2rpoJ86F0opGcKb48X/U5i75/v0eODeaL2oyiQ+dfKgR1BhBrA0F6XuRlCMgN0Hcc2MCJSu7dqD1j9lQ2faua25dVWkb7Z1Z/lH1HNx2Eq+9sAZnvjmQLPCw0j+5kqhHxFOB9HpZGsDkLwLds69MP3Qm4mGn1Emi1PDPReOJ8+EaEvCS1Iz8xAl9xD75eklk0mnzV0XTM4sSUQQLH+lLpbC21SuzufhSL2bKVYOWF1V1wRw8ZbG78+6irPzmfrCtWyTXqa8R8YQyLIc38mBQczNlWtwl96etdHy5tUJTPOJbyPDwFZwsR/9D9Jl+NxmEiaqanPMP9q8p5bZPS94Iwmf+wQLi2d29wobFjheL6zmrVnxsJ7VSprzt4Gaq5BEiwFdZRO73dzmgzq5AS72HpJ8e+RWeYgoo8KuoFSLMV1wKwnSJBt8dqrl0rcTUX6A72H+3ma2MIJ79wyYILrAlvvHNN1ecKknd3X9g1povTTaHXC1nI7vuASc/SmsMnONSTt8mTZMLP2l3iLZuaba9JyARTEEOPS4B8mr24IkSWnPvUS4GqtBrO60jqfp6MGcEJtzuUDwu8VwK3ikTNm9SvVWKntKsp5pFQez+WbMN6wx9k3Js11+ZMpR6KBm1VVUwcrAKo8V4bI4GWcooMbOFtwHNoOqd78oK1GWCrMC3v5LkB8QU7tjBUljHbfEtWEtLnq6bp3U60XAFo+BhfC5SFsbtJlbFD99E4o3wqVSYXc/4adHNTTAHmZltrVu/Mb/+qef7u53ZDBX+TI06qYUriUeT3Q7x7bEv3YtO4hQigjsC8MKQRsFFUOR94Z//BVtbndwbaFAyepxIe6206jgF/Ju6tkbw7EV36dpaLOGLaZoFfDkubRczWGCe1HF3eo8+NKa2U2iz5fPIJI6e2nVOV76uA6COO7o3Yry8EvkQGQXrCjqwk5m/53FdT1Pm5ODj0fvX0brqh/CNIwfHfvmlTzFbTUjwJQ+w6tKpSHF+eUt6pdLgINu5Gkh3y9/eGW/dDmaaeRqHXciSSXnNs5KgyocCLvCGeRAJ4i4z6/3bXR1k4Txn6p1X9Vrr7+2txXJinKV4d96TiW9My9Li6dJqvo/X2z+s3su/smq2mwE9Pwn+y5CScJm1F76XIUE8xVPKLwnSRr7wAebsBJ39TynYayxJ0HmVb1W4zajnZcP4OaPBCJDkPEWc34IWdiOwW53GQuGPBcctM5T7QUhF1WNRawAhOWNXXo56/2RMzrIAPNu+1A7K46+3epjWBA9nhxfJO0P0lWsXejfRM/id7dvUJUKp3DShvw7b60CLcucngVl9Gv3kDZliYIIan58Jcm5kS7nVfTLbSR8lpYmDOpdwN8LTrdk5bkXDQtecen6GcqgawBk8FiJUXJzAFCCppWCleR6PExz1dXzkUwRQq7Yc5GUk7eD6uitWowdE8Utc0RR8i/mZXCjJNJ/otEnlW2bLjbtNeutgxaz8GJYxBc6/j5NJZWMniwnWSaFYm9F3XVFIWOExJ62rSjXEhH8T/+kPN1Aq2x3tPHJLAv/TPkwEo0etJZ8rzNs4h5yKNf2e5WEwwFVp0YIeT/kq590FSS2jubzq60kmwLxj006Y4u4pnJkhV+D2FzO+Zcja7nUd6G02aTraPsMyTpaDa6ESlaZ3YXZl6zaRGNttQR96JMcmqYqguosYUtUoptPWF4oaVVJD+cQV6ub2QW05WmrFix1ywso+PWpSsp3IfPavzm7IpjuJu36flADt467bqOKaeyc586TrJ66U+765qnecBttX5QrpFFTA/b+srAoHkIyIrKKICorataoV/TbCeJbT/Sn8JTlTlR3M7Xn+MZ0G1UVXs4dfK6Bv6qU5QdhqTLLmvy5gz3TqjFxcu4ZET+u0dcyE6l2pzvfyihFn6+f5dw9nXYYxV3IGBTR6fvoNQFrHnMSUc3HPe0UYnYqZwC2Dzcc6/GZ71T1uaYiNzL5Bj3UJib1QrJOaPAnNL2Jd7HyFt16acvi5m7COsDGu05V2m+s5vIAB5bZNbAyVudnO7/HEcLxpz95JyKkTw2Z3A7QDD+AzRlmZbkhOesDmBQHh1IOTOFhnHOYFQoNOwZVOV8jeUfB560Rkj47a9+R29f6TcnpTA5kBfRqLfTOsld/rz6ZwF9JMY6Uw1Y0CGLqvlt2hob2EXUbEuVYGir9hAVLqXoSqWknPpMCyLDA5o20QBySeOnBhOJuslSOqrKjccFBwwySntyXQhAlm+z+G6Fhktd/XNt6khXhbmghd9R0kPn3io/jvxGJ13oM/PRsOViirbTeziWBl891Wyh/3ekW4ci+kPH+j+Ot3wab2W/OpCrM9LHbFyTKabG0RWLalkKh/v8ZVFejL86pIHE30Mas7XiujVfIfp1oUnbDT7X6yJdlasr6c1O8AvVvSn8I38FZjq31jr9xEvv95XVtngRrBoJeX4MzfEH16Mph2z9t57HZZneyXhxwkyQH7a32E+kMC5M+qdsspwu+Obi8qSjwQd5B98ZvKHnnBhbhIFQuUHwhBjP7fQs15hmO5qiYs89eCc7L3UhHiklefbY2SsxbyNR/bML5IQu3W/jORCIBaY5qYDO0S030ISSwxXYEnmQbCe0Po6EG2mXJSRJpN9vGSJP5MrX4oKUz5ZeM0O8Ud7ZzAbjINfwrGd6xcQ/mqtHdX51XhJW1wzBxYej4jDaYruTYDd/XnPx3s+lY8E+j2hhnzj3pCo/bib5KD0lekArpdyYOnoAzSohFK7jwT03/VJo8xdpXB2obmdDbHCJoYCZPT9aW+2ycC/bSqhrIF01EpfLFYz309pvwucAbfDresSPWrCsARQVXcAL51sFtSmtsHU91OQ1gw6+gv06BF/031yO6QtAPfmxVhcM9lAM8DmFlRF8yr0U28pTqobcwd2jmXi7/Zou7bvmzzw69NaCltzGLsrqDfZUDmCcp+DHWEeBh9NBR94tcdcjvUTRWGM/vFROIisLnlachDerB0K7NyLigyA24qc4fuC/6cSU35Y0GDqgwSYXqIKTggqtskuFjoOFGLezOtCDLPVFVD7TcT4KCRpIcgdce+sV3ihGLmEg7K165g+Ut89bct7tNK8gCOZjIeNbrLF8yM5dqzC+3AJYW/FIiA19YeXmwsvj+zRtzYuHHFJb+YNZjs5I84Rd3JZcAVROQhdqgbs9HTs1LugRJMGCpceL3xFarl32Xk9vTG9fyw3USXikiPXQep724HJU/on8KfdV7nBSzoaHFYKEHIrGaNZ5yidqVu8wTQ3MlA5Dy2cdVfVf7ftNYCkCKeYlUv3/yfqjLUu2HMcWA2ie6gfpSuP2uPr//1S6EXqYoHmUlN1dXRnnhPveZmuRIAiCLRvUWdKqhsADp4xLFVEjz8w2g5eydOvyktQADY+wBtnryhRz3pJQTli6Ts8HB9aPD+fbFTZQ+8h5CzhzreBu94MxnXbGC5/4Ynuxb5pzOYE+ut8XANtL4c49E/sxw0El9+4nMutOcy3gdDjE2Pn2g0P9bbF/++rC73qz67msXVYUv+TfDbMsybvMqyEn6IDt67A9gfusdlCITmNBcJNtt0x6U0yrzDiPP4iQf8+KgzFJ3MlD6kLPwz1vS17XorCTRp6+QFjHsjuZ9UvOxqnB/+NUNXdQTm/lEn+1FkOhoIYqfjhhGBDxasseT/0TWoEV8ZAO/628thO+P5IYi4BGujSjA+Lc5MLl/vqr8i7TzZHnvr88oildrUAq4NdVC3TH5hAG8agU9f2H/klpj9ZLXIzWJD3fh1u+0uUvTVZfQSX69zTfdDi+yanFKzgTt+Z+Pyeglf7o69MVCux3vfi8cRlTJiL6bdPBIT8nQtBxKdnzxYQsvlD+9U19wyK9rbs7+R23Menyr0Qev2U4OJHSybD8hfJ2aVRVUWm7zOix/ELZRPP4GTu7XYNcVpXM9OhWjjs9j3kKk/gW1qUrEHpPnr41a7ohu+OZSwceXjqYVwAM9dp64vGYrBbF+2z8ROmqNL79HntXIuIqqiv+5jxhDgrkMoF6l6jMEDNHuDYn2exOJHd3wBrXML00UxMJ96FuPU16TqbfcSLMZuH+y60bFeVaeQkBUbUnmKnr+bgmHzHZQd5E/ttifqEM+EBQuWqoR/sIrQqjGcyKO/s6JZF3bxtjzhZiirYnQMIWeylnJjzeehR2juV48lLcgn/gDuuFUZA6NyjJW2N06chpKwDwBI7ru9H6HwGiGXKPXqt69esGGX3C3UIJyUTSC8m1dyw9tTqXzz+kQ5eN6Cs5s86b9pFq1C0Epu40rYUvwZM6Oi6CGoxismrfssRgry1gKmkBVSn16vp89JmtXbypvSnMUKMmqzRBtDNf8M0RBnbNP1uDS2G6Fd1CA2vFeB/8JKXVnq4vYKyKignfNaIZa1fPfKG0nz5XJvFs+7DosSnxm8uhrbOfbOZvBwew4+tl+alXD2UnuJzIGFcrddkJtZVPYNVEMVLhTY9PSv28RY20GcZ4iuXimPH0s7OPXAwX6MZP0e/jmVclKPJVkpCuZXqf//9IDVd4SdFfTZBef5c6Le4tefLnxEbjK7P3garDs69tvjga0RLIsz5BlaXYD71fSskSSE2hu2/8+qKrFYLygM++RH8FlvYwQOwuQbN9SD9YDCOEKTXUcJ2s9Tg7gE0uZCl9gTB6KRtkP+Pzr3Soasah517no/QJrCXPV2vR/ZcaK765vshR0CDbr3zNFJXC8vG51LP3T3qcQrbOoZFPuSNDNs/YeVVpi2O/9tJE7+i0vptaknfjlt1nhdjaq061CJFo1WkKBxvpPnW0IiB3eYErG3j1L2MRP5ix5GrRj4l4a5ZDIwIMs97sm1rEtfSlwmk7mgKuPHjujVjyr+R5M5knq2MKRXeeDY2ttQqe+AFLY8ojoc5A2VctAleOeutR93fpMdh398h0T7ey+HE9DVuVDCMm2be9/ELgcmPW4I6mD/RzW0iceunzWzhPzIs1R86XgRw41eUM81E4DpBUXDwMYTVVoqEOA11ldBQ4UEkNaX2je2GoIejp6CHGjpbyfHe2Q0elLdIyp8jYde6WzqLnvkS1QA3vvcJA8yK7KxJ0f5Au6RGdlz1kTw78EOFXnDgnDv07h1W3r0+u4Cp5p6vnyu0j9Jzxcxntn+jpZEqE9aKlRw+MS/55Kf9OZcS7cntxrUBS2jCrKy3U0zpF8k/jdGfuW3Nif572vKYQDuf9ltLxK0X5b/7b+PPm1FIxXTpg1B+onCj5hRjZqWql3kqtPsrL6anNWd78RirXoJQspFLUbN/Oc5JSPstxrn0U478bwB1xXWfd0ZuLsjSRH5fObXgS0Zo+ww+YVm2bqIyvnyjdxnUOQDOH9cCUIFuenmin2Ph2CYsnYv98xnBDsV1e6T09HS840c7n7sWXfiEhF37yt68RVUrKpul99/3arQnqHUsxgBhKmLhU4TT2eICUwR1eM5uaQ3BC/PhgY9adqkiU7L6/uxAotAIryU55QLX3sylHSfG16yehKVoawsemtBR/bmhlPwMxiIi9slenGhOx4zGNbuj6R1MvQl55sNFrVFPnNJTe3/mQqJ37pDnqmoRLdze6ukEjuCXpIPq1WVVkCIj2hTDqmJNC2VYm++qmhDvAIL5AmUAWuPJ1f3y8xIHE/njXdltl4locA4m+r76tkumCLFueAYOiWveXT2X5JRnAS+x311J4IStd+mCpC4HQUVsyyoI0k07FuD091yFqPSbgaeFYrK5e7/w6CLLrgItkvRhnl4lMYAndd0zHJWSEixjsMFKV+ipBEX82nf5eNIu9Ha3O7VsT98SCNIVCpxEyl5OuzFOvac/+XXPSeL/7WOM8evoFKi0WbQW/kla35cMWY5j3OdXqW7sfvazCLMuR37dMevZLIxHxqhlIpdH2Q7n54+Z8agEVNkZmoXXKHnB07Hycr5qPgvAa2kodOBRB9tRZLcHJGpvfe4ZMtGx+8EFR8vLzc11XgNPoWK2CAHr8LO9i43iT/YglPB7frensjXOIi1e2yui2GpkzYHWaLnEwkEecZR7Y1UscjMhDFrMSZli8pZjSbvUGov/xsQOZzHI09eSQdi8sDhxNxsQuL24t4HwSy1QaQC+C/aJCLcfYqrRMzkCu1HFNWdaKFVx0qKPPzRWTFm5Se0Yv99gnM4DboxZRKy3S2iWTtsJOVaQQ3WMR5xGQTKOp4xuYALdwxSjIIBeIvbkBSQp8DsTQJDS9B/HOnzcb/Tr75nnzRHnzpN3ElN+3TuZAOkUNp8ja0UOzv1P/VAzcRMvWiyhxnsfzzDw95pRLoB7DBaTIx9iKFNDOsiaYpoPG3tGqG1ivlwWxHO6e/tTy36qeUlqtAf8gnrTfGNfCjoCaq8/kyu4yKNu6+TqP68OQfwYS26B+6R0viLZmepJbrxTm3LHR7dSZj5jnxe/Ks0125ywoIQfWFWV/9L97VpuY/o1iPhxMorki6noO7mm6Zc4X2P95+axf5MkMtId75TUPJppY03F3OEGlzjvD+FafKn35dctK5OLMVSbSmWlcED9smv2H/QiCiW0ujp7O0FjyzpVqkMFSQcjlQr8FBwuApy9OCsj7jvQs1TnrSRABNLNSNhQhGaLqiUR/6Ri4poM+xTbykowfefRwmA2wTjJ6aICpsWJmaZbrnrijxOUbqzvlpeXj/ZfiZtT4UNvV9q1OHu1ed8xEGbZGvMOjnl6qbuiCMJmcUXc5AqYpGp/8KMGVZk4APrDal5xSTiK6fGNRQHCfq6Vruy+T2f6obbApKahDE/Gj7lOgNKlbG7rYvp9Vm4yrTX5331cMBWsPznCxvRardygw031ArmHvUo2uUB91TGiVV8nub7a7FJU8vQ0DjSe1FZOxvC+Yej0aO+2Ejsv5IdJe6reVpSdTEgyE0PZ2f8zZJZEOvnxRlVji+QkqyI9PwBSvKxY3mwwFF3KqghPjl85BC3Ngl183frGL8sDgJMQ/iAbfvAao7mlaK3Bq5Iq1DHLUhkb9c1USth83OsUs1DYNROIylfdb+4ULdt/Pd316Z5rB+wTIeWzMSHZKAN2nIPDwgctVMbQOwuU+Lo2airz5TXTE3Yma18pu5Nl0Dxqo5BIFEDl5Y9EQJNvZaS+oJl8enYiTbqh/kg6a+IZGVq+ESY+U2cLYKK2sVUHD5JLHxVr0KXvsUt4zNqv4Q98gSxOWO6okmcGR5njcWL7Lk3IFBOJPNSP9lgu4wl1QF/6hSWir3iZ9uy1qOVWhLVkJaCTc4vMtNtBmCnW3SLUFF+iVKELuqt4Ssq+M1pnCfye3uqyt84DtgXGb5up/jkBUIzJOXyHdZ/INPPTqFT4P6V/7bl+VdXxcVm5dKUeFieMzUWWJqtytnrFu/vS3mLKOehkBDHoPDlY2rXdQhW5lT/YWpozvfp4QNl/hpxDyk2aUpL3js89u5OrdcXY2cyq5NE66s4w8p0abu6jM8RMaEHK8oFd7njvKnbFBvx0jpOEG+0RFzFJZ12aIOyxOSuLbgW/BkoeOAhBREAJJ0kcZcJM5zRzfolq6q5uZdDjLowrb1ImnXUVv8q1hUSfVPEtjuwX+axoqH2T6i36qv1aAB5yEBn0rjN69O79S3t+3vbL93qJb2rnOFrnZpHaqswnWTJtXbqXciEquIq5pXzYr3JEAQTwzI+8uXpxCG5FL/zADNDPrze0scsGR49mgEnwKfRpEdQDTLjnCh+F7w4WVVJYeTeJ9Z8bFmWCYkbNh0LUDI18/uzmrl1F/58FRXn06pjSFLMMtDXjf0e/BzNtcydGu9IwbTHDYMCMjLyi1ZAc/1Tl55LYSqFroUPshhCuWihILKIvvS0aF4xjqoHJWB7LzWbBYqFAbuBpmWxnejeYnMlaohRapBKPXh1DueJ0dTTFT7tZ4PguOZDtNpquT8lXUVt6/yucyvPgnU+9h6j3dL/3re6hMeAtHmvJkljc7+yYoezUUu826PjRxklQred2C0LcMIO2Vut/c0S9lpfHV60drRanI3rxOVqiFrsb7t/AgRbx7kxhwYHxwycp2+++AdS2mIilJWy+QO5WZ/qMxYYy5Gg/h3nrMC/za7PBChLB76Wl5oEIUiH6x+ejJ2nognUb3McXDQdDV6kGHl/haRfm7dBJiabB6qN+G2hjXbnYYURaErP/OUnbzvpv+nz1iDwlOaKxIuXWM/JBhGAjE0GQ03mrRz3mgfGFjw9xC5vZrn0b/6N23OVrWafcu3smLlqn4HYY8VyiD1t5igy3hyDG8aGYsBrc5DD5xm3+qI1l3KHp6XaFjeGttN7lLqug9fukHFuPcKoDfomZLi0EVZPSCZWP9rOtpLfssD3pkXZV0w/bF0Y/Yapn6d8Ja0rnIJ3u+RpKVybt7paeTR0b/zu9rzKA7Ur9BIpFl7J90Ev7yRLQ3akiUZJC7MwKdqzt0sKCioY/68De2som9zJeYb3ukD5d+DqRFWx/a1nC1FItScow/3ZYi/b2jrNv3t5JX0sR5xAAfxKhTxRtVstZxngt/MGjtFkBnN5xLfs76JD29qmNADRXnKwZyP+HLa633/cJ9nHbtaZr0cUnOLQ//qS7PqMKKlEWUYZEdYIX6KqPn5+8gAETmCD0S9U9h43u3paJECu41U2pk4bn42E2rqw3WBH9Smove1CHt/6DwE0EspW3pLjVTSupCmnunhHTp+lRlLFt2UibNkxPJJxlP8Y7aXhGPsst2CKFSsAlg+QnfZKpfkelXvx+OcB+llJISbkWh9zJwEnXivwPBKJbagy1LL+3YeV+pJhOypZenyiYWjVefeJ7L0YoJoVub7fz8vQ0shiHcxmhScrN4FT1R9taBFgg5jE6AW1pV5dP8liNppp1CAnJiuxmX5CEePrcvoHJlzUVaR2irOa3pqXeWslxSfvvrrp9PEC3lgYqFyVmL/QZuRfSEbN3Q0kN2X8LtLhyWLw4WRlM8rngG1itaRsz39/2tnM3dVpPfhHy0TDciD3Q5DXTLKklLXDhTg8lbUZI0U8Oa/g8aadXePo936KPxoMoBdjgrPbbm+1jzHN2yaEoY0fh2k7fl0U4vQWPYWICA5IY78hTe18c9UgeYFMk7mgn2IXEgD6kGeunu0YNggevUOyvVxa1Pv3XXnR5BIHIvOMZby539DpXknKvyxF5zXOfUkx3c+oM4hO/+TJJZLv7ewyBKEPshet9UtomgqHXkfQ4CxV5lx/DLM+jYOc92ZsaP5Mo7+9/47abHBrbKtc9SKKw1YMbzclz2diBD9n7y90LFsunJH3f3/fiewi2H7U9GRQaY4mh1g4sk7DyERpAjoD10mkK8vLvrvN7d65ayzIfvZytT/ZePZt1FuhirLZu9matvvCvJPFYYXdUI3npA4nPLvrQR9sjhXfD4x49sP30cLcW+L/YxZfdW0VNqMf2I/oCalWEZgl//H//n/4OhnkIj9eJxEkFwzbINwluJPaW1bdZe90ZfJck1oeHFpVl2/qzHbwCUsD2QR8zeT37887K7WNkNeuQFiqUn4uia3m3Bpz+g8F4DUVV4817nJIl7H3Y1zzUHezW3FQgLht66MByiXJ84Gz/M2ko+tyAiWn+f5oodnaohjSx3gpZVOd1syQNIG4v21r9WHZUpd0WFjC1sDrNd1HP35/QfTrqMp6T19L1dYNbVd8CPrdpLH3nd2ai5wOMrWLc9nlh+QbUapqvd250WCVLN6/7GQhFMDXJS+8Vafi5XkESSTJhzQEYyvB3U3lRX95bht6fEQM6jvzV9VesXuVH26yFUq/XQogXIASVedvpZVIKUGoTf3QJdaz8dUKZKP15ZDz3OKUXEHS31ADwO+w1edVMd7GCc0byx9E70uxqxL4rDSIP+fXvk9lfj3fV/eCHRqyE67fSs4/WNDKKX5kEYcbuHFqdR6+ogWdlHrPmxbs4Bj6llgjs28lLCXb5RF5eEvQBNu/YrESil3NAcw1hP39GUz8tVExSxk6/dnq1QpY80yiMz0uiSwF3NkX1AOJG4GzA7++raCa3PTJ3p2ooVtSDZo56ungaN5QXD+bYRyp4XM76rWJtlOZrEq3WjDlD1zZnd1w2dH2Ck/NYZoB1DX9ef0HPd6R+2HCgz8FUJH5Zd38NyyiX6HmUsDUsW5LpOWhsW//na8wieuWJbe4X8825d75+PLcrGsxCZINnE0Tw07XNIptqbbSk1rt3JxMnu+Dl6nocpjfPugFKC9xLpcDqx3qrkYyVYSMMuKhcG+6drldSD6ismfEILdzrtqVCERqW/FEdg3xZtqgI8D+7DSjD9a1019OcV99bBfngCpL7qznhQjfXyofQXvLwJqpq4MjBWVuVV5j1nwLgzjteiMFMgesYb/czLeM08/pF/LM0vbs79grHn23oAhskdJeW8hkoNLi/RnSmwaBU8j/QCgnLWsfZv8lMFyjLpJsb8eU4zcWfpH3zoUxACLilMJguwXPSiNxk/+4pE7FOHyNa+fkZ7igJg8dGnOZ7W0cvmBlcAUo9wysZp44YZpFM0KDR4jWurhS/fuY7BM0Vs4NOh8/4rp5rVcEkr0z+YI2FaLy8bu7mAw1b2g/XvBbCrZ1um6Sss9NAgfWi2t5kwY3ZMfJi5n+vjfERjxE1dkl5y6goViGa0790GfgEXJK86EwSonFaovMu5c9NjBF8J7zNS9FrPFjZE/+O5dTSlrb/+g3KjFrHlQ608w4cHqOMgD3cdP1nii9b1z/7IPz/7f5tnfvDsiGecN6q5XyrEtCRcpJBVh810jliOsg3OePvYoimp+4DAe2/eVXtBNO3k5F2NVps3fpgYNtzbguf+gSH8sr4+zlyznhXP7J77fC6MspNCoYv9TWPIAefSHLBWD7YDzoNM2+M66BcwjN7OVNCyQK7Dn6BdsGU9D592LP/EGpiczNd3iOztYmDaA4+vzqVH3xwPaMW/wY8ynudpihr7GZhxagi72qAt/86Vf8ibSwjhEHltPeP0BjkKzZGr3HIRpQj57mhFsutGqa0/3+5md7PaxbX7xXr/j06QWZyYZF8mYgMvZWg3ENhpsAfu9JOLlefKB+sb0ihZyeE3vQVU6cHQ9Sl1tttJ7GtBJ5539GdUVURPUtiVjNWSaYbHB1JbXTw9UlmsRwF82xHx9MeQW/4pUNWYWJKDwt8fXaM2ZrsFlnf0NPrZ8wSt5Jg3DKHcmsxAjEq7Q6cMdfFamRoJpSREQxPhmJBHa/qQY6O1E+2tRWIcINp6NeskSxzgEgLZZUWxS5tF0XIqnuKtDHmD+FJ3LYVJGx2KMnV6dSm/qqGdcj0beuINGx/pE1WuTIhwKeseEO72W47Ep9Rz7K3YK/o4rmkjAIo1+Ub/az6XIvc2tbNn12/5mJ2WRokYBQnsL++dM98XoqWrP4tiQROWjF75rUxNUh5IFnegrGQy/Z9ASfD9qyVyS4+Oo0RtR7ZdMXnrjVh6DGWGWzak4px7UvbIz9gdpGBACojsuu6AOEf1wfpEtq9yAMYf7QgD2ssDO9FJdKo4GpAOL8wOS0Ot0bnxXIUnRS8l9kCw39wv6hH4487zdqO8L2+XUiwm8Ox4rvtaAFr6y2UEk4K0evFdY0Tz5k0Jk022/mFSRXxlFNBpmA7a20t9vzIKhSr3FlWY+zJoc2wwNB5jIkUxrK+hZ6gRtD8fHk2i52Zg0sxWIqc8cmd+7kWlH4MarY/8IZFyfn3CY4E6gxwrXzipBDWXzbVtufPTZh/H3SxmdxYY7yHoVeeWFIK8PlXZ49UyHfCLI+mrN3pHo2f2PY8ltxcVna+I1EYRIgOA2252ISJQtXz1J0QAAxS9CLYYEFZ6J/ah1uOz2alSrL7S3QiqWgDAJ2jUZu/MSeyMERbYe9QZCvu0mrak5ydIJ/INo5AkdKGAIoCKTZ+tkqGJv3cqr/5JPLNgf9Qu3SIaMwq4jWj84NJw3xU5YU++qgC1+rUbtroGlQWL/LR00d800yHv7yKskl56mfigaluRhlSeIumToxLbRP5+r3JuRZG/1txdWTG9Va6bDjMzldUiVPyZmWCZx0Emde9gKhnJcD8NmtWG0kJ39NeeAO7xJpuQCNvek1WRP66MyaUTlX6/XmP/cS8ob2HS17RaPWH1xvjZKRC37Jd9s6shBuUTg2yB3GYYLUwJnIOp+BU5m5cBmGbZKTew8WOnofyTDvl5EvHX9Uoyq7ahWpL9xBLlTslqB5bK7byAVR/F2D4VgQnyh/cTlxZFDklKH3TD9UCANHr4DcZGTQPDRkruZZ4XbZWSceZR80D4i4lt4moeTFHP7ywnWIIwxNWDyJc5IR+Z5FN5afMcm5IXKxEbK0Nd8OLy2sXVX+9VoKm/HvCmrfoancDDUbsRsblG16BEOlguBNzwEcFaBOC5aZU3kfyu824gKzDtuXkgfjHEy0mKpx92tTfaksRbRfhHfv+B8OiBUkuTfQr4ePyq3xALXFQozD+k1fWHfT2xd69cqawmvYPjariz7W+itMI0px93Cl3T8McUYARhPBwtRWvm1k5Jfjkn/iWk0OTSvoyWX81GTWxb+2zyjlJHCNoom6keVO+rKB10bHArwTVuVdV/QE/iwmiS1byEUajmrTso/4ynIzY8cmeKuBJld3X+wkKNbCr+iqCndvxOOjnQEt89/ZiWdjqPhLhHmPs0X/eG9i4ODYz9CleCOojzT8ADwDq4Qe2XcqPf1EdxqUUN2nO1E2eKo2sFwFnl6+wedOVX7MPB9p6ZOCwyozAJ1iEYNlyO1SkuVQNETeoZpcjPtiBbNKpA1OZ9MAFdyKh4OKOT6JRkVOTjZ/t5oe2Kg2I9CqSWRvH7Dyg4Ifen6+hzdlsqUs42pNcXtbaPgQTM22qlWoaGSsa1HjWwulMk6hxfjFaBU6J2cZv8DM3BgwW43tq4Ho2/lLqTwUyZi/AUK1017+9/I16XgiYn8ewt5818n0Kxot3FN8ZvbkJn95J5dAMKUqRnWCQhKeWEwKS8k+xm5OvdRPRBNLrRONABZNfw2qdXuCmCbr5JNnqZ7Gkx+i8+4x75XDHngBIdoE8Dc95019Lht/hKrX7uLALCRoXOhoDpO1zECbUbTWC3EnfJZK7IUBDld0hW0uy2hTj2o51UOCyA1fnFx7tsYWma/y3RlNf/XW3mfTNyhnXGi+Zsl0Mv1UehqA/YPu4aGVxD/q1/26pMgs9X/8o8jsOUpZhSJEHY75xaAGuihverpY6lEMuCLNYBwBfayW72/QV3w57UBSeMjaTccE9BGhgoI4Jao8vtaHJE2Tyfj3YPWDOr8OtlGjpqKiwlcHTE/SWLz39wmw64pE6q+ZJ0VMntUCSOdAKi+6vk8jNxIH5IoZ8whe43rnX0OP+CP7x4UaIsoxKx/qpJr6aZNUwx2EtX+7fcIW3nEfwksyKwWkcSDW9IGrJquYaPbJp27fTnvd4Ux/W6YIpjCXiH13q4geugld4bbpaS0k7SES86IV7Tq69IPPTGvHei7Kv3Xb2pRbpeGXqyjlNC21GJCLlpDIi9C64T0tTYQIyi5HgsZtHZCvArtcM95ny1ezS9CyNYA1vJ6u3iVb5tPs741SfSwMrqHx0jCNp7C696Eo5ONufs1F0xYrHmCiqpalGyDFVZqsVgLL9xorWc7u6oGL6CDV4ZrtWpyypcpXdEO22ejfHaPfQ1Vac56pgj+oE+coLyxz35obG4csetWjynpIaUvMknZ5FpUY/rVY6t/WcWPmPlpSQrQJcsFIdrWe8ePZHswg7tV1xJ5Tv+SllKjCfVYkqr31P6x2j2k+z7AmH+qPcHOxOkaiP6Fa5CrbIbeCtySEF6Pdz+oOafwC7lp8kxUA1wSb3l5KGTa08fpSQ9ZcIVxSywdfR4cz0JzhfuTasC1sCbMXuwHggO4h6dmnRwzIzvgfBlfyf1ipYDmxmmDTVvv/aULx6Gau3hRbZny6Fq3ZtP3qxVZqsLiN+6SrV2csPJ11YDJWO3nIceRhu2N+F/ybZrICHdUchS561fddLQt3slrI9xo20eGihFFW/KElvlvUP7aFqiQ3KmB678vJ/wBFMDnBQ281lBC2+a37d3XfX3ddVa7umyIgMG2hzR2be0IQXSIp6Vaeo7ruThXHdvfi7lX3Ocm4643TB5XfJLHfFrt6ko4gi8vtFjLcdtoQL/oeyL3IHlvuyr+Gn6I1rSVHqEn6MyfokhbKyN8E4tutJRtjedbjaPcBp26nXK2IBXWmCqK69ozxO7ZwBUzVg3valrdLblPoovbsjN4rXzjFTSzk0ad2kLIZwvBTR/sdOdZ98patvXketYBUiwroYuG9HJoEl2mcStQCMlxK3PA+pnHponJKWlZOQ2DCiNoG85vyhpyqI3Qp1OjMjOZHKrh7ZWbo7o+ILOQjWC3teoIJpNHz6+qv/UkBAzNYrkcUNhqU+1gcAF046f53vqvcCQwXR61HV/c18Px/7HXIEeQy3R/YjrltR0c63O3x3Iqyu0Hj1u6VasBim3nRkIcaj9jeOENpud36BzHs288hY6TiRqOwSGUfm7295WziBuvuTzz1y9qNUuX/YBgc65JkrCGiF9krIM4q++Yv254DVtl6sOAgdGhb+mG5gUFdX8FNhAGY2Qq5X8K4b+vsMxKiV1cPV1B0pYRCnWPqivnL5/6UHM2zFwysZvTe7UPlapdIiEh/5o25Hp8PfFEwP0fdVWbzKfwKS0D52rpSBJS1+phzKeGztfJNAvaHxaYKwO/evvYrddjWPj3bDRKS3vrPfU87CLIp4G3JkHElUPo4Jps3SaeWr703CfDold3XMVYqy4N/UeQ/+VFkjqpUQ6V+7FXZJ6T+OsKqZAhjJPoQtRQUQ7mrEx6t2VlG4+Kb6Qp+sO+DeR9SAG8vsYPwripppntiZZ5ZDTASKys+u90hZbt560Jc1x70Imfg/aE+XuWQ+JO+BLNOabOXfGW3TEGjC/TqFAod3j6Qa/E1/VOR4R7vyA3WPWIcxSMo7JsTzdGYJ9z6n6rVRk7phVu2CmDc3Wxd6bQ/XMVeJpaejRoyeDbt3W08I8LnnTBWbYov/2n0TLXZpsWJlZEZsdP0NnjlLjeDMaBtHSevE8rvmjig/zkdnMdaD8eZBakF7fgp9a7dr2o829eODvn2tEmIwh1da5LXmjffWqpkMMJ9MQI0RuqpCMk2xKCUpno/OrWVHgeGtx+61PSDs7anhW5Oyy6Rj6djs4V2Nz1xFm6pLoUpaHnb20wdurSeqQAbB6ZlxzKYi6+DfCUe3wWj4nHmdqFfvwO0t6nihSxTnhuYxoMEsavUwrqPWQUo9DZrcX1caBahDxzvF0uaKuoO2fl7h5G/Rg0J3F1HMLZ59ksh0XgJdsQkkk5sKgl1tsUJ3xTTinLlejOqt8NPELiZbKXcABjcLEt1jWy8pJl4/dA3Tqu0pCFhU9+5pzwIAtOkCjGcb2gxLJZKjOf0Oj7ym9t0CDoq/dWZPr/1JgdVa0lsFv/KxM9Cvr5/CNBGr4TykY/maXiUC+5tVtfFb08i/e3KDPuIiv72PPenap/VK/IjpO9M7aS2ljjMi+DKryLvxCGyooTjoK2gUj9FxeEOE11usTlWK40U1kTIuLq4INUGqOgGWkzCxK7JeaDgfx5o/xib5i3AeBlTOskSsazBn+WDpWcOfg0D15xoIr1z9w++HiimDVQPL151pFcYf4W8C0r62WyxS49QZypKjIGsrRdwIqQnqaSpnuXNiO/epAQWtQ7CvaH2i3q5sm/DqnLENMVWs3R/KmMtuPBh3FM0vFQk8ewrL6aDrCfDsXFSlMRjPfNMK9hO6IKhqVZv1cwcQsQQq9/HTGiAaSt2hv8AK0VWNhcOJmWFY5zaRE8Rk4R1nMNq29ANISu6UDNDrB055CY543q8ybClYeC1clw06peqfxD7QmJ23pPtxXeajFZDquzJ3M41odZd/OojFuX+T5MzMuNoky8+oYJbOPGJrhLfKmRSiG1axd5+kGg8xZHuevySaRy6yw87jzj4luaDSsInMlALLWL68fYE5TNd81SdncKTtjlL268ue4VtF2MT/z/iHOBgyMl3wl+l1X71E/cEtO6e8tEG8VnU6maeaK1jQp3yn6YLOUv62++foN+UKJeNLgsKE7H2Te9XAEUT50cmqZybzhg6zB21GEi0GvdkbT/datgfa1/ExJKjQCyVsdX6mHAzuSrNHX2Jv7EyqcxjtfVeCGdRKuL6GUybzpiz6pPWlhI//dbEhHKXpfvW/+G2f1Ii+UU0d4KvvqLp7IOUJq5tB+U/J1pxouXdEA+eehWB8Az77kMt736vFM9hkkVirDety4a/DTuf8UxaRESw11OEkrVXWhrPbJR6WlMWs+fbZm0og2GEM0ak4W1Srofw+NwYpUlX5vsuTFSaDTSGGsRMd4QztmQ66tV20ht1sQ1bsP+bhwlP+uWfuA22LU/mmbcsqvbB6PmY3snehtM8NlcwJQsBunHPHrgok6KnMPEPZzSxX3btr5auIp9pyeqBwK507gtlqaNGDsv/4W4F+Xl+LZNs8rzd/dX0X7avVS29CyTy8swilsOSXtG2+qFd+FQCZGlwxNlzvXDrQqltuDRcai9x19vG5nqkWTK6bqhsH7zu9eZHqVfI6Tx4acYyKgHrhCrv6WyNvHPsTxF4POEMt5NKskv1uXWafilfT3tzvV9ascPtA/atx5io+bUJau9tYZr1AbbSlhcuLEfi1VbCMGCErTmjCFnJuAmuP7q+WBPr3QvzkSBUJFev/InF2wrmxp9kyOZN1+AQKW3uTN0Qvch9e7Z5LAxTsuoHDHnjwftNs3S2/nn3+3VaUdLh6Aqge/11DNp405cb6RYt/11I3TNO5xLWS873lhBdsEmNZ5j80hI/DWlnD36oUSuPQWOtsA8Ix0KTtecDrlKySmVslTIqK/vB3p6I1naP4jLvWzduZtJqqUtJO+uqvUiPyFPyL9mHsstw8Onc7sE5Zf8ERKjcTS0llJ2j9occ1NZUmi3h2KJMud/4M/Ac1c0ZkQ9zf5KqSyx8tZ/UYbJE23paVjXJL06kz5/FGHRM3L1JYe+893T1cbFFJRCUI9+b6He+ghyVIFI/G2qyxl6bm4/FaQmv1yrX2asaNSZLO9QNFbJd+hQSc0xt5Wwr3W7gw75NrzjMaGZqH+6+jesNcBVMUJWyy3U3Uj1Jom8nSsSF77ha+ZWYZ+qEI/opaVm8STYj7+amPufQEm0M8ZVuoestZIm33zcK+rPHl1mwsQvSVvyAQo9vSrenlQbL3x+76Knjp0BoushAoyNWnA1aBTby6/hyucxzO4vrvFXqRMbxQ+4b6IpzL2vqaXnp0qkgQiRWqg8y/MexKXErGF+zjAdSWb7zE+61/S82O5beaSqNEjPccHnSJVih/UoqTcfoWCjXZgWmBSoBzmvrKYSjkCGudOBl9mGASVjjzVYfKrxV9/+TF96ZA16XVjAh4WCE/Zg/gqspesnWaSK3f0RfTmA35rpFH5tQKr1Zfm+VopCkg+V0/F7+5GGNTOwvyq5io2vlWFFYJibV3IAdRJQp4z4GtbqWD5jV5Tb334PvLzxB+O/+LW13HJnxqW3MZvn3vGf498oEblTqLdj+uphZp7NUFS8yb7krm0O+qNqPCIGM09fYl9bzfa90WBk6ZAwoMNG0+yaNrjhzlJ+b6JoiF9oDdnSx99w8R+PC6l2I/vnm7dqW2vI3qqocijziX7UqU9u8H8yhHCpxKdV+/QmZOE4KAZnHQ6OWOxVrYq3S9v7LUYFqCRtG5uqjPUaQOvB9obs4XmWqgbNXfrcewdThiZcsEBBy94j4OkfYeRDr0XYUvuTUtnBqmL4Lbwt0UPlYf2b7hwajJIHHspkPpE2aeeJ69u2qiXsxrPq263EMf/DOKk3FgU+d1U4pzs25WPuzQ1vW/3OL2bvN6XnkFQtzNI3CMQvat9a0H7vnqj31dZ/24Bb73SyJTUv3nfOpQTdcn7FXJJH6HLg5YTbXd/K/+OxOWdnaOqbHueBVvRcGO2Zc+9B9XUfmk7Db51s2RcqH87R26JBhWvtDC6BYUIah1NSPeBSfqtQUdEFS33p/bvXiCnvFSMBwRd9ZsfK+5dEnZNkXwlfbvRlgbGM7m+fdnh2G4H04XT6UyHlLwl9JlG7IDtL5mnI/JS7KkAt9eJOAOchuVd+Wutbn2bX/2+Pjb+fjsXIr2f/MMeVY+rMqO/39kun7Bg2krQRV1NrMc/qnTpq55pBSNF/eOoIIqB73vkV8EyT+ZNntR0DSEocjJGBXjAz6L9/mCtufNJKrSAaWcDlbAV422r0kjtdHKq0S7aW8dB3OXxDJ3Wq9bVKakJdJKrgMgq+1x0Jg830RFVVI5bH3p/9g8OctyEYDNlAl9L0rMeTOc0orWLY49ahh4okUJ4K71G04H/tzla0GpOSB1shHhkaTLfzyQK7tvv/od+8szD5+4fLcTTx+IDbGJ0L7lJTVgF2j31G8wR9Va910b7qFjb6Z6//WAR4f6m4vudW0ZWpebcC9gu+gSbmoWrL9F4rG/adpEpC6TPQZwCjuARM3mPr5bT96JcoeR++VOS24ytep9GzmmrSi3fcoiZxy1rvZ7c7NMGOzXu6WNLTrebeuTX5aNYs6sTA1wbYFiD/CwH9qdNQL9xWPuXZ/Xszgrlq+UstjfZzgXYz/AZiwb+zL1CvLRmceEfR3koQ4fw4X8GwrzyK+usTiAVJ8HoufFWeYgO72cY5PIUK3xocxnjYgIeG3qoGvmI2zcumTuZnAk07x/Cxh2TnOCbVg+cPWvthYY6atkPp31W65kB4TPKw3QAPp69ZjBTvJmTGx4WMedR0cXGUp76qAbfjRYhRMnh/q9+9Mp7JlU5MFz9+UWlhk3OoZQSCI90cK+RrqUo4ZScZkm1h+EzDeaBq5GQXFpWHs82DZcUwsqLiHFyB612V0ne3apxMg1p/eL9IX47uXfgqn98NJlUic7VN/y6gq+dth2kvP4YPJ/mWFR0sGu/ifXm3V1msYdun0RIrpqZ6LLwTrtsG3EEcdh/aefLs4QhYmpncd+SleugeingLkPOJ+rUu2W/s1P4XvWJHpLkqY+UragJ1pdnsQ5Ic65mLGgqdTNP3jiVTPc28bCnIY7j8B4Jfpx4qUh4EmkRxvJw5p+XVNlDu3ImQddU4wvclHTEtiXf4k9ter6kwaHugNG+Y9nnOpc6md0Grw+rifV+x7E5Hnn6RNEzOzjEmnIg10niaB0bcoN6viKoo7d6Jha7m3OlbJ96/1e4CkobPMJSa9PvPPu+nPIGDoz0HwqLDWm1vd4Dgr86tSvdpdaC/fjuSEQDNT4Hv+ts9qnc0fxAHFzYzVI68HhK8CUz/eqA6tUyhgHamtgWbD/gtcnrjd4J5mHwjSMMSIZWi6ltgUcYK0QclljKT7t2ntEK0toSKyCWmaA124Gh9LrgR8XqmnKIOvUoL684f1Bo+xRJcYV9XJa44UXtFTYwwnDcSGMjj2K90bQ7VzB0xcIXWoOOq0VUhp2YgHBeWTrIBK8LefFjRftfpGObJA/VasEyW6cTv5QjLtPJeRLdux+5NnIEa+HkppuS+lbrQRLxBGvvFVhhRDb/1K1JQ57LA1CzZoluch6ezRyWLz6R/Kjbo2h4qMQT0awttWmSNwVJHO1vPfyFk+whvlA6I/xQhKKgTmA82zIlSpR3pYo6wKLv1/TKmY58OValDS3Mc3w92N08vfyabe8FUUIWWXbVv9JVkBDLxZoZz80zy6LjtSdBf0hAI0GZ4BKcQ4ezD5/FWtDKNEefz0b4FboK/dNHdCdncmDZ1g0Eo1ganJRhsZ4qhNnxueXJNwz/lVjjRme1tAABAABJREFURODz3O7razm0PhTd7nQwSKcpemF7Nu4H8+g7xg/w70NxG4++SkMtnbo08QI48aCuPzG62XbUqUrHzLBAOjdWtoNVBE6HcYOYiOpcl4fTapFQsUig6J9FLtSJfNaGFmJwCnS5FIKuTjnCFDg4WURm2dVTC5DOS/VmikUbJwGUpVNpN4Jlnl6qezYtjjcoRVfv7/6+KXdE2JsUqi5encLgU/JvoAXQcmDiuBRT9OEVDStJNNeCy6vylVsky3jrw+YMDH/GU94+at3eYiw3fJ3MI2sqbtz4VcbPUYeQIhcd0nXOPjIEw+pMSf3G85ldnfPZIGoZYhcdyRpwfUM+SvZdYvRQGV9rjnv/h1CB4S1g/ec+de6TBIX7/w5BcZ8YQW/M+GpkjvcpL6ryHe2BLv7lOflZcty/7+fHwVSA6Ab4JiY4+zrXgrrOl5GjCruRSOjYSpDmChl63HBMR7C0ygDVmixBrdEU3cGmHELTcuIOypPQ6ShGV+GIhQn9ylRYDe17tx8ijrUL71crUizRlSxeqDbuUfkRr/z+t/Xlm8OVMm6yvg4o1dH4z+t7y2ohEtmLc65QjReXF94HViHOqMMgYyNUXz4jThUb4w9O7D76iaKzYFhUPbUBuFzcN8Mrb8oACsLh/b/+9/+9z6+PMnL5PS7cXDNeUn2OtCXCClH5h9egNGUxWKo91rjDu9FNFE2+RTJbM5mKcgHRlFYGFGSndYVGk8G6xFptPeV1tWw8ejcknysbab5ElrejymjDYt26Z5bq3Ddtj0w3YvmSxGPNbiqxbX+ER3Mps2hQC+ZSWxMS/S4FFdobnZVp44kanlMcwztszVipx9i/OKZhtsjtg4WYSvyAEUkwOlw9z27QOjREUXnC5X9zC9ZGP02s2jzKb+ynFDWC6JmCQkWtsZRYeu2pKEn1vDGyKU64/rL85+Ph15VL/guhD0q2yqAzcdG0ZEXjpa7eb/iktWbjw187XNLHJpnB/RuUYaPmbqXcH0XCqxv40HRugTbBReVAIT5IQiJx7MOeA8+v49cUZQXMuNPbel+TDb5mAB8n3/K+qiq76cKmNKJnuwXJFfEVMCu0jSPN+uVmVOa6DwiXrxR1zJ1XfoShoajR3Z0UmROeIMN9ZS7xrPcPrd73v8fdKpsyo0eZ2O2BFnNe6YGlKd+Q6aqCYYAQrx1U1x/JZ+2LkRyFLp/mqKC07LmlRZs81xhqohpa+NXQyF5M5ee87aeoieqnTz76YVrq5WQcdYfHCs+JeFDtmjQEjilP3zPSn34xeJttODo0SGT5yuDG0QbR8lYeWNsxK57c8rRGEQUNaWGIRRcF9FV8Rdjff67kTmLG0vQ1dHuveL58lzuRm53Yo/dVJ+yT+IErcPlFNZP13ryjB1sxIJ6vTu7ncwXgkRF7l33rg7uV422eziCIUV0EtNdAyaGE9J9rpkZyFRPnUIu/50Hu6g1pkwA6VxLukLty3jzja12VtBGvUvmIjaTHguaSmXtQI1BaOCtmDBeosIwHoEgr1cbn4n2Uy1HnLErAUIGtPVkGr0rKF/1t8ox380CvH+kkz4+17/zoP/555Gd2ygtfQcreZVMd66rDfgZM66zgNd66OJnnfDrDJa+6l5eyQkFPhkDy2tIk10lp2umx4SkXMr/vvm3bpHL8UpDT9O6VJrXO52vwRgpIuophZ55e2GIu6OKCZIA4PiGL5OKfxbC+ca5H7/vb4p2XGGEcr4skTVcRjCSdpQIXN+n1bt5/m/Jw0vlr8gC6i1r6Trjnq6b70beF7+VVfux2kAAUNg9w6v/3X/4KEobl+N1T4MlbeezfvDeDWUFUacckUHx/b5vWxx5egjrWYBPXPQZvFRkfBX1PIs1CJ6HMtp9O/ftv4eC5G80NyR2de6wY2JUugK+Jvt9EqNro+XkUZHXPj/7X6D+jWD/NRncyPRekrZF2FM285kBKR/jwRDfbxLQfcEmOwA/0wW/LvkHat+/PGovdIUne5dZB8vasD3o63qznubzWlvCP9EtLnBe8ysyz9YQpBZPijb+Owg7Exp3MeAcYCnaBoisF/0EVd0pqM9mKhgJt3E8bSGMFEQz/DVWTW5aLhmF2rZtMZ1q6Iezx+tJ1U0RbUWclV8x5+cuH6k0d9AIy95C241z7rQCLTwz9MZjTrC8fmxMDzYgbXfEAVxYzTh/bJjQrcEnvcTUpQtr9IAxwxpUawC9g5kJzciyZRaE80MC3TKTdNnS1FYytvPt1Md2foc5zRUl7sEuHEBluXim/Q7e5ePORUnN/Puse9JO2LczeSMhkJj5idpAPsZSX5V7iSScEctX6RpX250ymoFUvNYw+m7s0mbdJFD+Tbpfwy4JZesrMmFjKts+3erUsmK2YSDxj/zE0vvDtUDCpadsAX/QSJ2dICzcGG9ZkJUGk6DxgVB1DS660lQHoSfuHK71dfitMW3fJ6ySPmtrJelpDfiGTpPHO+pibLUpmBDH+tBOKabXnkpBpkgQbglayprnrXfRX/HbO5RW7dCCW69wPR6FmEA6fYqpjbsvIcIowdK7CwmwsWMnPTVSAsacB5lGJI7iCvmb6f2TGT8OFdrpgNmW7xXyaYW0bIS6U9hQePq3jjjsawEcvQDTv45o2wrM5N7/0R+ymD/dKWgtDqmap+3Xw78CM/kQ4IzcHFKOGvjSJd/Ts/XxRnc/f3YB6seXXrer/+cLkJSv194qAydbTSuJDGL4Ka/9BHOns02nU07p+25vjBu0MSatoqkESYbY7b0Ifx/M2AN7z6FCVU0VB9LZS4bNKwVvqS8u3eKzh3m3XRjX109E1NVqf2l/nHgF/OsRwovnXFbsStsNL2nHqZi5bf39+B0XWrKQ3lqeSP5S0lAuXyQ0LlmTe5bNy9nhXu8rsPBeYqI0z1bP26uZWpfA/e8YoU2RtGpSYzR+PNLMvdcfsvslvIKj+ECFP9g2FzP5es+ROmcOsZM3Ap0IqtTYZHvI4j2ovq9UsDYKvktAxyaTrZj5Dl/CQOI5z9FDU9DcXiqv5ou/lsGiF4PRFHXbyRFcYKSy2Bot7M/PQn/C5Hei0FATvbTyCRTIaIYNWRtwzYK4afKh3+n//hiL/LrR0mRP9uZjcJfZheYgj2c2O5kOsZwnFk/wIRbly3cPgkmrqNq3q7vce3j7vgwrrzf9YSXrGQRggYFmux3hkAGu9M3sFKQCYWcG8np1G5e2T6fm6oiXPtel1MhB3Qr5h3X8hBs35fUS+q3xs1AFsbCPT+fchVp9yNVVqESyPJDQwx++rX+Y08x7KakONkn/TLSkiCTzrMeLYIahbHTwZz5406jPQZpTSFYJIqd+Gkfy8m6z1MyObBcAtsGhjxcnzAmNtZfNurz0F+e9bwRX8yqvfVd12G9d8nVs4YEP2fIcHVwbxE7DwCp2G6zxWhWM5/rWZTqwzJ6+i/VgrS2WGuMyiv92yDIvzwaSEWF2mrJfISHYFp5fotzSf/O3tbLcdQLISzbDmONTVyjmURNbDYmXFeso40bnNyFOataxqhU4IkNryGD+q1UxaCqiD8JXfPNpnrik1Sv1wJbcJ15L2QwS9plVDf2weNRCJp9VTkt1fosbq7bDMRKvPgTiqhjeK8FyCvrZ+529OQUv4mlgvaW6b6Rxvng7AbLwbPQTq3czH3Ld9cik3U1UdYGM8wpxpLXu7gq9PCVvcZ55PsqCO9hDy3aBLMk9wonqrqPm6q9unqn0bemdhYE9X/08ndg87ugzrwfYv2Ub6EkWrBW7J6lIjU3IU3tZ6w5bi0wo28ypJvYQSvVyg5vWra/KF4BwV2ru3OAtsDiME9YE5IVE1P+nKC9w5wEPWlXHa5AxSSQPKPbUvnEf4R7mh6OUCUstQQk3bATy+Vf3wSn5fvtct7O5Y6HEHLrUBUs6FYmyhVswxvLWcTZM77Ibf1ez6PSkIjKznY28yVvILwuGG0wRNjc8rptpPHLdloaBjA2zpM6dEn+eDyhu9pUT4qT6OUuSDojiz1CqnFOVSQHz0YVDsrrL99rFSe8/UqjnkrnVfWklWUJfvnRUexL+M9hfmbGtV7DXacEun3fL3ViZMlnny70RGv+WKMJNSf0VWlFRl8GYR9UXOySru7KND9r5yhqmRgym5ft3c+eDzSPpNZrGEg5OlB6tCiVT41MQl/QOFNvfEq2MjkxQXUOH0j3UCzxK0+hWwKX9VxRGqp9q7eRy3sTqcpb+p9FzguE6IfCdmCxeP+oSnn3S87GuQMZRIk7l4srdnIk9wIxw4KyKJCin54yknWLK0gdxadYv1henOzqfGR2T4+F13zSHzAWUuntU+ZcFIgWvfEhp1kt1VXE/exaM8GsNCGLzUWzIzmmzV6n3YP8482ak1ckVPCQ4KV6H2nvvvLbldmNZ1JVRHz6NhQZinBu6Fwt/9SV+KZL1XGFIzo4vzPr6jf834B6+wvfRdlmrdiaT3piKZf5Tw8ea3NjN09JZEpri4/O/QPZcPeicD5CUfNjhd/8g3qNRg06EW2SyBuoh9P0q1CZHvR3FInI7VUD4nVbK0XbJ+JmMM99svybh95Cw7hQpuXyBXDQv1FW39r20MXp/PN9rrDolEd8Lz3vVVXx8Qx35O/F12ugrb3ZMAkS5vZT1J5SK4/srXvsqLzYdiYuXBhVrZ/77zKllsrsw4njK/jHKJoB8MVir0TYGG4+StxAd7mk6w6Y6j9DQJHMuDiZZrbwffc/ojmvRzogQiI7vp/rbuOF26VzDt59qLan1d7dMcHawjXyUEcH5KRBVcNYdb6p0DAFdx82Smo6AFxE5uxBFU4l6hEi7/3Ik8/fms2hYOFdRQo5kZ6o/EDCGBkBQMvpqpQsiKEk/yPKEE2wPkzuOxO/7/JYnDmDJ/faK84+gp4VhFIiTDcXPMWWDqVTIBD5nx+BmmW1RDManO/OrOMJI1pSKf7sxh1JPpCiO4ie4+uKuARjMUDJPxI3lx6xjJLAKUeORL9KSbONq6NJRL71TcpIoqtIu89Y48NShRpi3cZ37KSwsdfu1XFiT4VofV5+RGG1Wc25Mky/Iz19eSriUEk2H0AASwKd1aIQWUdCpTpIWzZ+aiwwbW/2CoBfkiq1b10/VlrUphM//+64j9pgNfq9WIjX26/DcNrSVHD0PQGOH/8pUrSbSsd4F4D6gj442WlXH82+njFOUbealVc3fOvWBeUE/vS39DFNH94G6oXrjQBlA1ELqstq5KCqWS0bxHfuiRR9kbiN9j3QSFkFh5kQkXzPHPVHlIY63qQaDyF/RBSqAE4q6h7tFxHccxS1J+jJYYgiDnadynYuvZk1AutQERh2lGfd0wPZ0FDkQoCOBHybwX/wa7/aIvb0mTyWY8t7fgSnjxRMdNbz/W8/Uz2kw6o1g9YdMZndhY8tB9uoC0b81Ryk3tjx8RjfsxmGcqsjNQIh4GA3jdvPIHaVgi560VS10POvEguAXlaiEfeyhOI5//VLG0RBVlxmTe+nharmxC1xsqgOkSzM4hNGEJBkGfyJfLL7uS8YXrG9y0iZDzVzJ8u7FauVOC1gxTymDLGV8iZoK/hYUm3ip8OOB+rugHlHkrQa57V+laIGwwf3ulx6OfG4ZC0DJn+5ZUdzX6UEV8I+w0d5WJaahHGM/vA+qVo2fRKsz46sJJXmqOpyMtPk2QdKwcBcZYGDQ1h3wfMvRSpyWEzRCACQO9GC9jcKsa+28xXaoeqvG5FO0YrwceFhxkJ1zX13GrHt/V/0WC1nxsS4/z3qeKa6zPh/6YDbQ8/dG7MGrkHw405GmzJK2VNPcaVRzADhEmMK88tTInhSdRGEP7YdnOnNJFZTbwtuCRPw6ahILYYwVyF3kuiLVBgaJBefOpgA6Dk7VpBJKtXFNsfsJ2FP0B5F1Sq2uX2wEY6JzfgznRsN0shba+3EQOINbV3rMM/HhaJ8DqWHnfYjl9uljkbi1fta9m0gWaYpwGKaysZPaXQqblqXs5JxwpO90J3ht3FXR55rGwANM/tSghLHmOB8hBC+gDVSx19jNkqT7qq2D1vaCrxhusMrv59Uh63x/6nNn1zb1rMOp4vnExKkXSqw7muvW8lExd+3I4Wtxhia+o7rTd9tFyFP/fqoq/Uj4zuS+Tp703y3iP0FJsh4x7gzfrHRV/CUgHmubxJHkZ3TtyZlVRCU95aTruywPPhTx+qlwghfWdbc0DIiSc8cP2BIFXovYczk+pkuoBeTF/Ir7ku2ex81SM0YQWYHDWevMgOesgKY5LJTErvpDsefzMPI8f3cE5ZioctY50NJJwG+L46OBp6cXVeGHL+TY8l0RMcqyiWUQQ1Nrblr/+x+hBy7NywT1qtIwI5y9yDErNzSmO/R5+amWdkgPRztX2vQlQu7STmqOivF5n5+100L4XMLb3EBQpUiTXDcKkP7XEkW2WvjVvOz4P3L5qIEJFJScj87EyZbPQMLX31j72qCZSJpKnotWjp8sHVWXTOlKbl8VPtuQ8Ato/vcpLybMB9wsUfpIoHQJfNJGuRI6g3W+mCp1UM+L6pq1GzsybILuamTo4dOdcLuSgp4ZKcJSu1qPm3+Y+wsuDxTZk46PVr8aVq8jTLVb60wC0zp1gpDjSbenlS2xzn/I5Fbm9PsZoIB7rtKNcr+T6VkV9VETOkdWRqDT1wd5t//HuxWMRUWuXgG+iywGClsKug3JAM+5cRloM6fcSv6A1GqnAPpZmq8vS9Z/Dv9UopNfR1lo+ZZ1C5OBPZDyZ7xbeKCwcTxvCzuqzRdS/bhEUCvB2Go3H9UxN2CpICmCQ7InaZ60R8D8VYKqcgoenNCv4xY7CbTMIydU/uMzBCYTkD6n5/Y/47wgAB2LdFqdD/Y8YbE1fovRVqy1+2+wox3kR1/19xJ/syxJXsWDmQeCgHHC4PN3O3DUWfJytL9E3eGjAgEeXw2Uu1Bo0KdSOPXqPfrp8SiZQwUR7GRr97N63QSqnn35nuJ8yfSDQbqwHMMu0Yf8sesOogBDopvdLh8m4dX828IneunN3KQJLMJ+CWjuJZzShZtgeM//184AJjZi82zyw/c77JD9/MYWuCSuF8yY351fmavqrcT6Kv1tvxkVVgXOnfPN8dZuuz1WWl5w2OLbCYj5elglJGhog29IZ9XnO+yliGvGFg+fVpxwJz20lxACSc65+L96xq5l58p8mXaa9HVWp2c5Om9LXUCnfUaTiMru+bY7qUlRh21GJBNCpa+dPCdIOWiFGLtmTso/NKTLd1ViQsD2q0/KnfuxzESJ/P2orhdPrWuI2uOeQo4rHxx94JiZDB0KNe9yVUXp6fS15tKqGDTOSwysw/w2a24Gm+9IdHyeOV9nrnqz06Kvuq2cuNBB+m9uD/frd7YmK/M8QsCqs1vNYH5VCHuM77gcYhabj2Ja2X/rv91G1JNj3MsMk77ur/Ebzm4JuCTBKgYNdAPmojoUyxlWJ7yrE0uTx6JQDzXH3LtItwRpr3gjdA25WvAFIR2afdApx8vGHSIBsnVRwI1hsTeZtRVFMHdjyHlvaO7xJdtykUbaaDGiZepV8Dy0sUavhNYZbe159D8Bw7XTfbgqZDwnePGh/XlH+NDqSN+HXEbRxN+e67IpVytJAAAmSp8zr3bAyVT0XfNGC0ORy3iNLM/TJvfZk/uN5Ho9fihek0X7AeW7dOMOwH8+ROpChLPq4PL6jR+AQpcz8UeefE5p6946r9NUetJaumcvYYkJP/v4WmoljWd3Np/PSpGXoVLMusAUP+Pv7ALhp3b3y4h8lUdq0x/YeQR2M6IijH2vacZDP36lVfArw9dz4OOtWrRulhP9PTeiixujAB1+h2NHTyTJAnDfOG+vJCz5oBzr3cI9/nKMV+DX62mjnrxQnO1WGgIk6Lws8QN+0zdktf1OP0TcvwE9nMkGjZ8M8iIupCe46gF9k01sXpNFKKxBUvby68SG/iNVqiggTmrDaetG5A6enNqfa7m2Hvizx5RtKafpzr874I2vBim7Da8/C5cL97Wj+nhSffdby7Pi94l3yRz67NUlKlqrnOfuxbMrKT2sV7xv9Su++xiwEoCF18YqT6hm4LrqpxC0ARftWlxoIl5JSnWkDM1TG2pxKDku5FIHF/Vdaxn6YOlip7bg7TbwX63aPke/R1wEAkr5Pgk/fgS5nxxAopkrs92onE2RcBNncw49Yesa1uElvjLXpUlPHdTSxY7FcjYxXo/jmk36SfJnelr1a1XPzZvy+FQMYYfCAEzFk/RZBtpCt8nx84i3f/kBUPWcg1ybYcQIpvov23Xnq5BzpM7EqHvXdeKKrhNkQcoTGXDKyeLZqafoHGmr+TDCNZT2lBvh9QVu2rqPe8ZPcG0Fd0dFcCaFPTvlddqwZrWtfo2k1xD3NIKnkwULUualRV0LuYZqdyDutua+HpaNUiAxz1oFcwV1pUKSX0WqiXGczr/dNVn5HL4XNDoajfYoRBv2LOMGx6vgsy8/1qzM9e437H8Hwa2n1PrfAW1YS1izpV60aoUgYJ+QJJ9JtxfMNK1qa6eARt5nybSXPorwAv1fR/B7v2qLIkfBAnNaIjhgHm3cnztaQn9LO8UTv7j+YxXxoddFvI5zC0INPLXT3dz6iQi1vRcTmTqVczkbXQj/mk9BDCO5mhX6V/mdV9JfSHQ1k/gu16HaaAynH+v3KXLPkIggiodj1zaP8YbdxL/f97qz8048ISM314O043u1DbLHXa2h/fx3MnqJ8wiQQOfKtWhE1cL91Ip0tTlXSaWqJiiwkZgDwOlWrst6S+/TplkJZygxMVVHCO+mivSZTYvl2mHyxdBnLfqYMxlMmr3Y+nbVscZQ8fqYlSIWJZcj4pc/ms7/YJJlN/XQ5H321RXKtRcp/8Leo9iqT1/pVHVtLhJIkRmi/IUBVhDAlMt34eFmBP2tFwmndLzctDSCKRFAtD3S/SqVVGNSMr2oqUiQwsuDxITY9So50dPMDLm+uqYKAXHbY0Pp9sBNRfn9w36UjQHdNvZOO71l+ar1XPdrE1uuCxzgeL46iEyW/UOiVppbRKSipLAnPH5DaVMog1zOPvsB0nyK31hgkvbMXqnIFbf2gIzQ2iv2+L1mH8/lyk6jznPfK/k6GO7j1/GmTztDzbxR330O4JYcw3nylMNRNwMzu5vcX/4aoi6yGbgtRLP9U4hwmL45zBDFo3Uyma4vvCPd1A3Cer46jFOXO1HakHPo0nmPqeLNQ/P7XbjW9Pqck8uY0/s6YSYU4fjskUKjFXQfyIUEpgSTdMoq9FYlSeVP+nmXCJNKt5hWRqCi9Nao1fPb3SEUfCZZy4FRlu6ctypv8drrhdLuT6YCz+f752HodmXqHPKGJ2GvZto1ERzMF2B+CPElG1GRCSao74pRnCLF69zZepqcgP5MXArQ8c1oIbF7UdMRyelaL3zBwqlx7bvQ7s9oa0kn17BQFyJHYezaTVDtuZZX58yG6goeoEk/eCl90TnurVjSUQGrqAbSZ+EaI/YfThaiQsnXb8hXXnq3un1yb2rtZgzdFmYJmS1JHb6B1BIb1cb9sIzdA+Fh2+Dg6ZB+7Z+lFmRnVugSJC9dmtTPPITTS7yIvVJgrTbQ7cbJ5dMSkL3+uNpsT5/AO3mKyAVsR6o0bQRx0HMILoeIz9r/BCFAdfTwRBZWHvbKe/RcMhVxW3qnog2HhbqkQd+6FS6kmbcseDg+BVzNlnxI9kfSGTgYnw9kXR3wySqELheIHkTz0NiJcnypHa93laOcm7KJaEXhsrXdYg5eONcaJ3yqcW5IBwlC7nuDW8qz9zC3ZzBEdGcVzs0Yei6tUvS/LeKanL7tZv9K+oBvva9uzSA37Hn1AFXy4NXsdtehCgYjY0Gwz2H2xC502WR/tx5bHfhpfHte/1FVGdllQztjxyEmRuGS98iXQv02XvV/Guw+mn4B13ANMyzN6ZqQnf3WBNNrs7oM74+9+GjHdLTKAEWeBWzTssNB4VPZKb3PgV1qCggtT/K0yAaF06LLwUhcwv4MGgr3quYSnv3LGyrWXb0DhQ279r4T/ftOpIqP1Iekbrb/AjXkvjsxFzNaierPy07poqq7Fba6IpcZPLYF6SflK/36qhlaSIsGB4yXnK8jVdhqRbq+V2jL3cyT+ogXdozJ3PIVWW177IZ/QDZz5fuzVK+ON9Thf1HrFOqbVYLSer7HWarx5NNnrzgRX/Y/rXLvEYuJZnzUCiKQzF2ohu0NxdKPyk0d63zCgum/9nvtiK6xJIFXjedyeKslHdeplXcV3jwwmLYdc8sfG2TeXbuBw2xKUJ7+qIMXQFzrfFHMw2STlhZ+DzwaWwY5SD/ZEVm3d3Qi78qsH5mDRyLQyJALigYhKSoneQ681xi+pQeHFXKyu1zMwk6U9ShSFOZ2vAzfPLV6uAIdT5rT/1S8bj4HUfjLPM9NFTn5stfs4NXKVpWcQxUSRmcpUIdXd6ZKTq42vfLouiDTxU4WfKp2xXkuezt32+Fzf8MvP9t7wXoeYauJBHa5I3+qN0gpvoJV+RZ2c9e7ij5swQLchM8779qX8N7ubW1bWQ6X+7zqEYhZOmnN8+q52pVo76E/2i3fLIQuSGi1rA419LRZZw/4BfhKB8UmQir5e9ir5j3jMhq1q219/IviatLtzpww8Pvv2ryQyDVkJF5tXbZ4Sy9v3419ejv6rU6VJeaMX+CsI0g5gZF/AD8AZsNZeKROreM9QpyCOLZk8uHZdKr4H7+aS5MXKyUUWxTzQjcy3Gz67xUHoUb4KjKp2u9/j5h88Yga6JFNa6F1IFyxxM9TELIwQu08y6YyNrLfA+nnmM+nke68tTRh2TkaP28PQw5auGGnsBFMPHT5gaHig37ZCeGekl0mzAHNWYk9HEJ9vpN1ab6nTpGmMeM7/Lyinj801aD11LGjtCKiHjxIbMTzs6W4DgIdzzbjdndxLHc0MSjLAnO5d6k3O/KY02X60dLtI6iyCMjMEc32Vj30wkCE9FVR5yjB9ZTC5U9KFH+Imt7xFTdd/ljyy/DzfT6jUJ9Vmf9B45wThklVp9rSyOMboH3jSFPMbFjlP63K1nzTtGaRo6YQCZERt/HAnU0GB98SoLcIrMvWkKugx8xXuJS3D07JTB2iYA8097yMPKmiAA68GhG95LC+xui3H3rpjatVmcnuyV5gU4vmd44b54cmEXmakfR/S1sG2MkE+ODVb6l5wm/HL28tr5Q3XNtGLDQrh2dvmxuzAquQ2/UZ0suEbjFoThnj9yJqnU3RLelzPrvLue52SjGfXq1+J6YjBeaETdB0BgoglwAEzX83Tndg/DxeN/Jjl4mzJEm7LTE5rL2f1Am/drfcJvXJXiKIdhIZ86L4jegFJ3UdQK1FLuqVaik6tE2scx16ivQlel/v5RtQM4PIkcx0uTjNb3rkQHNfchQF0w2oDOiiiOjjGvS3phk+3c+TWN3PFxGzu+j8RdOhC1zZg5arT4rjcVF5xVKtS2JhPhJTN+DMV/Cu2mqTy1px1POxgm3tskdCB9jltaadCp9NtV6ii89/MUSdFTbXO8BqGGpJnr2s73SeVqwEV/sq7QXqsfc2Udbq8nMteI88mcBu5L8RWqIp5h2R09Vy3xcCfceRKaPFITmyDhYtwinlcyo2YpuxLq4vXxpijfoFfZSpl5y3HgG102h9f/5//+//gcPO1rj/V40ENRwjTKT3yPc9p/TfLFOblfoemHtaFrMor3viju/QZCiconF7mrJP1MLvWCJ5dBqqqGQr+pZcbMPFK6wxLzryqYEjxUcImyM8EDXClz32HJQg83uzzfFJttb249JyNLoPimU7W0h43I5NgZzwiieSYHM9lAt4ikwNCCkZ+5HJ+RcFVWb5Wmx8ufSeSq9/g3GmjfmjpgQOoGcyMFt38XOpfRAxUHm0+ESKLxwvfmsu4q0aXdKgS5DM+Ly2S1/WVpqa6OzOrg1I8hvnsBNWftFDfuoLfz5klLIzn35EhoZsZ/3LZm61pmAlYfOTa3PZiN971F5u5Oyh93TgVGb0DcPg5jLy782Oe31qzgzTn0m+p5xJk/aLb901UagXEzWLoIB7ZP9abPUnBajwYOrWrk1o74EpAbPqNAsfa8MgQFQbxmcyyh/szynHBRl0Vt59epbSU2A/Kg0Zct9LLzNBuicZ6L+o56bR3eUDADxF+sTeyo7cO54efyeWTXiae8+bxvAJbgL4Zmz3LhCW4dvjObSRsLsFuy+mnyl++OpSKXqTsDQFCVrbS1rFKcV//bL8Pcc5nxgj2CcIWKdPrJ8r7KzhH0674UXa9RaYEjXT/xlz7k9MsJbsdte93lZN9b5xYRjzmjlhy0OKdPmougQ5gf5exEJjAOJXClHq4Srchu6TYJdZuZ+nI6hfZdQI7vov9DVtdRXm/MeKGTVNx0/Uk++8SXAu+5yY7wtzaZDTv7rQtKg64FgFkv5tdidujvefZtz/yuv8MFZg3exLcv4pnpvVtgy1nqfWjrV35x9Nee+vbvUAVxFxbUtFDuh9N1cEFSRV8Nf1WwaXYfuwQwDol3LB9ITd/74QDxU/thUDpwnloGumLPtqT/7mtn7xaavB0R2ZqXUlrU87jjhT9/ETJPOPdVvF4UzUxvfTgxzEU8QOe8irP8zScBkbRUzRhEPqQUZ1sG3m7clXjpqUYXraEOdDUiIOSlr/ewdXoiJ3MHOOsYktf+EmzWfRqz+tWf6x4LYP8MtUMq+35SmHasU+5AxLmWvP7S0LBLYlK17bzanCaaS4H76zk1iB/b8il8PP+uei7EKF/8qgmP3NsCxeuEZu0IT3n8GPOS8PmhZruHikxRG4P/gb/NRNKTAWUWctBpMf57WD7Rbh0t85bL4q9DFzvmiQ782BAmI8kIhZVoJO/JJWv1Ckb+/c1/yLQF0isQr7SCMCav+fZ152/75u9jvL38/j3t/VSvv86apdcnnns52f/1zPPQ690n4L1OeT+QSdF7IBAhsevHjMGSOnAAgFehl5QzuuJ82iuy5co72bfCZ05EYqog+jRDzIQn3izho5dBSJFcYa3MVCZevRc3kNEA89UEuYQYXL+P19OQigGBFcLiwIEr5bkOLqOQbcJQYJdZaOrzPPu/F3R6ST7XysCDfOVZpzS0cZ5pUVpYjNIKesFDvp7tTqp39ubt0mJdVTjN2zImSnH+lV0xe0YyT7DE/D8WM/Ab0gq3ZO8vnmjUw0Nw1bfAePx4t5HrswztXd9ynkZexseQv55xJBMt5eRWY1OePur84YZdeXoKtdua6ZjyQ8fSvOzd+3BdQ0xDco0Q61vVAPw6sDFk++Iwy0JqVQIS+4mauXVvivpUfq6jrvowBSP8IJ3ocVIk3mU91pEQrGar0uDZYBs75w8woUq2tg9g8o+wUGDs8tKpWtWhWjQKMxX75xH5GlOKoh/tLkrkV7aj7krl1jSlKdG6yuTkZ8+zbn6xoLlkJRdTjASUqkkHj8npD/OLbV92UBmqh7r0fG1FBbODMZativCjPM7icd+9dkSxlc99q7pfsqBI6mh6qdVdIqeZVjmooatbilW8tKlUP9gVtq3xITo8yHieaZqjGi0Z1SvnHxiFDhzXbvC6xv19Dfd5caMCriNwqCUPBVny5Pw3Tb5bRx2TivNzsyvB0zRL9/KnpdEqhKtJVY7hejL7Y1UBkf6YHdOutzK4lZGfnnPtU4inEzjdunVq1CKnHNv1slDGm0I0Nw+WHp7fF3jseaVv4mWUpFq4Lv9pfJOJyjfELztGd9+1UvVvJNWMsa7qX/KqSkdd5/E9EoIOSX/8w2YpKfWeqE70eVkg7m8e3tPR4kTXENlDypnEEYq17xWwO/I4jCanp3xEyjZavkY2anyXMljzp1j6PbnoSurr+9UZHFVMTxRs8+KNAIHyzwKdCrxmo64XXrqa949eKE1er8fPltMjfz1gQ8S1YSXHlc7Lyx2p6Chh+yDV6TvzU6HM8Lm8yWaUCKs3pRwh6TQDGs3LikdMrT7S2ThWs/xpF58CkZUf6BcJx9sFtvJw/82ldRaj3/vpmdX7MJ7wpwNjskRUxItLHuV3MAkL+hfZWRUDpf/r60hCaHOazPExnCLHhnihDnUYCWe48jKkW99a3geBxIfosm2siJUbOxsrpnPB9qc6KWDTMW+atvRx0OV22k4WukzhC7l/ldFXJNJh5kL5lS6spmJAtnT8PDIBxVayeAekYu3m7t0cTT7lvu5gIz12nu/l19ARvBHNpsmAu/9Ch6L6vcer/p01VByAp57avfiGtLnJKAfmlfUBQ3/rI0qgJhjycrGKNZGj+vpBpABhbVS7iugoMoy/Ti/+7bXRYIHkTrQmS2YbHM2IRZrHfqmsj/nmXf3UV9EMKobCI8P8nAZW/9dTSI9s8cC3NHphyx73ddsmpfWXmqfl1tr9xawZjRHNrezJE8Nzef4I7Q8k6FpwN8E/rGeGZlpRRur8uX5ldCaCEMznr3zwj0/zCackdGw66ZJwkqHAh9JXTWuX7WvCfG/HXLpoRsO/Pw7GZbVBWCrfSH+/b7sEjUgT7AZri1XqnAiXsDGXktCrhUBRPlM09ZI9QRsXpzmP5WWGzxYZnK9Cj4TYHsuS2acmUoQOeMzm/6Ol3NGiWyrjibQK1PvrXxRQ9XOqXtJ95WMkWj7OscOTfl3+8qofC36L0eE/a509BXF3vVmdt/fcB7ndxnZifbdzZvtKpsN0tLIq0f79HC7s3YLHGyaJF3M0jAmPvfIg/w7L4z5WNk8b5EZpUyHLzGzszq2uMejdoULUGK3vh2RhryROhW1/K1HRIsRtbrM9Uf5Q7pwfrmUeRNp5TeNUJFw4qVPq0R6gffRfPYUG4Z2oGbp/72vTpNtO36w8rjn5Vh50wjR2s4CnzC35uK4MhbTf6FAIWXboUOj7UG9G/Ppyz6Ee+RYT2kqBGd2OQxfQXj3B4je4/U9Nzt9mOPMU8gsAEpqcv2vhFCUwdW6scwuZQ4UvrKPU9tEGRbS9cP8M8ngz4QSGWkkDQtQw3+GZuahvnUyeaPuJOXtBSiZzrNopEW/Vd6DXgX/zYuOrvEJQceItCl6HmNYn4RExZrUTB50GHgf3AGTwq0GbsMc4LH4LIaOZQeB4ucNkTL3ANWWfqN1nnSWa2h+gCfq68elhxThJU7KcXQbIBUJFUyUbJCZzjGaBLF0cwrpm55hco2nskONZUZSXMLBk/ZCvw8E57ENe5cmN3lZ//t2rwLnDmVP0wcHaFtzBnsQ6Cwb596m+F6gu0S3HqeoJbYW+zCnSIQSlJk3sEMtJ7mwucO73RYC75ynQaut5cNkxfLsIVBh2mEcjexnVWYRuuPCd8/vtBC5IlIumKnjWs57PHb8u/lvdt9UTbXSYORYB80revfKEn7PA+bt4OQfqZR2Prwja19ZmyxZ3pJ+IunpFWWaIVNXU4hth9TKPjkCBZNLsJs9IjPtGj/M5RZGy3La9r0ttpRXPVeuU7deJa7RYo8o1xSrc5/18uxclWVJz3yj6a1XYAR11wu1XpsAaiUKvdLJwKnmqW+7UJbUfd20FCheWD0yAXgEUfO0DHY+EH1WQgAP/glsCQsXKHWaD4DtBK3Brvoih9rn2zNc7UeySil7JT/Hq94kLrGCgMk5BqrIatfn71uorDynHmx3NyDQE/xJFWU31AmiZ+UlF9Nbl6yZv+f5oOvfvo0WdCdnoNCfUREnTa1dUQMsjwP2uR7mfAdM0eqGs0ndqpRUjKUdgqEjvdKey0gthDmCNVjGabU73duHZeirdUYvQOmOwt/G5PftB3styxoMHYg62wcxX5/iI6vbzztJMPNMdwpRvx/FVeH0QYKeFTmZx08VOyWspPund876bdjJ2VMVzZY3n8OdRMoVI1t4SUmyHneNcePp3KzXSJfnLUV+ueSfy/0kV2pRASg6DsdRrvbyQvdBUFUSQJicx5rHfijHZ2N5UL5mPBAxDHVKTLkpej86Ido8AEdgaC7RXSLkxk5sPU/bu4bQe/4zVE33LTqBzgBVr719oZ+mAs8IzSYuA3Z39PAIRprnWBJObbmhu8lxKUqbQXqmT+Bh2+FQbyg5wSU2nDzSq6mf7VtK5r95z4+ot2jeV5mp8a1m92UNLgEvLd1uPChSECHoi1vKuzcEKEH0Sjcj0sliN33z1/GRMBMtXM+0Pjyai1NyJT1Yp00A6ygJfSBj7cHelatx/xsCEOZtX6m8/zFF/kuk5JdYteDYFmmSfjmeSV7UcNPry913Sj+R5VczfpVn2pRClU/EWjEXCDa1lGe86CL0g0rsGgxu6LfSEQnegP9YwY951D115RjaPuMbmY4C2WY9VPqb65o+5jrZjG9QSAySF04YwJmapHMq4i0rB7Yz8TOC/JtDQZS9pXiOV7U9g2qiN5znosascp58+U5huIo4NLYu80FAnPcviImBrMI/SVcPzeOeFl58UgTZyrdxVguik34CmgL2PSMX4XAwpiSjU68uHpfn1Oh3Snyhfzv8oiaJtm23a3xKEeyBjkvQjqIGxXH1nY3iB1+AWO8zt70lx/6ZV85PLJVI8mv/wkU0uaTO9uMPtbZ6dOtp89SZtt2ez36e+jtLj5fpfGVuhkbNvrA9d//a5SrQkMb2U4U4R0M+31eJYeIJLlLqpmIr+15P4BTitHeN/3BSbUlbk+nBmOcHpLKh6unwVpDDgHVypuhynn+DRvbIz6QrllIm4xvEnJo0GHuR3O29/oZ39Zttm/YdP+W1ldTymgj4T1UD9nP9mF/lr0dPst5ojZCbx75MU9p6LMd5I+5xpz2ZIzhOWW2ELV2D+as/iwqKPL5+6bv9AFzI8LiApi4GL+xLkDzya2tJqjKTaPe2N7e1dwlTtWKgzkPaQVD4mmala1pB9/zf/1pIVEggpSNa88iPaEz1pR3Cu5BX5lZEOe5Cr19aZfvrx399FRpndYAS0ckHX691x3YgeZ4Wfg/tUxQL8t/j5qakth8FkOiqIaZYeQcnUjYkf3x+q0ae9of0XBV63IGH5kLeh3GUVAtb3kH7QHe2OhJA5Lh/M65yhJMzN76mI0wuJxBYCzNXWq86F9JYNK/3lZeAIocxdcZWjn73qBS55ny0r9oiVTSAUXZgSTI4NJT0qrWYHtZ2wIuv5OkO7SJqTq2Yx9er4XWd4uGiGQFms9tp1pGgtMG9tftoiuDOND5a0Q5zc9cfKm4QVo3NFe4R/VuChWxeF+YdP3+ptEUmkrmxXTmO2MPbHF/gL4X0/tWKHCZmpOoeSmGUziUSxW8SOdrMzNkvfOiZk58aPMIS7LH/JpaJ3klmT5QLS965sL96NINRHgTMo78wuI3Zc7SMnZ82AHNa6ruU/MyHrzg9sC64mk8U2y+dr4SA5rRnZjWPZ8gvM3f69gIiTcPtL16LLp++gRafjp80n47mcBTH8iC/BSu/XJVd593OPpCVY7WJ5ip71tp9N78p7Fll391Fxru7u7zISnpU9n+921Cq6Qm/mi41suJE73QshFhfvLD7JnJmKz90qwbJ3lpoprWRYItam+TKZl9wmem9wXqkWK+3g/Dci9b36qNX9siPhyrJwqJn3g8L1BxIgpKGJUzyJaLvCD/nMK7cxHkbWFuPEFAN4tp0AG7/QG2nCuUFYtz3LcoW0IoAP2nYaSxV0dCju+TR2Rq67ApRcnbGs8nrsC0yGO+Tpdd1ayyHUPmnwTtTx6WpSZx9d7JIEHpKoV7QfJNmrreZn70qzjpQOHdcQHrr3IjCT/gxTzoTa2Qh5fOSryKcWxPEZFmzYKp1+qLYgQrcp6QZfJVqOqyqxqUBYf3FgqRHWml4kk07aKuZx7HtK+Hmq9aqOWzViRr06LcG4/48dS1e4TC5bpro+cPVXM0MJqL1CDY/1HnIJ2JUb+p71S7SamTPa83Os+qBS/2xQF0fejKOJMkxrsvtaPJIvHleJsnzV6LxAMvdokZAw6BzyeUH9af8ASy3kEqefpIUUYGGE9S40W0DauTcrRaNKzHKMAdoGyeh3CuUHL1nlzUwiId+AF+5qQcxq86Hy3gqZuFgvET7sDemt03V3EhjzeaFyvMpBpDbtjc94wnz6uovcV4tOXWy9q/29302vTPrJ97/gPyqf+6G1KgNOkMIZV4ds777nAPapgbIhwRv7IijS0TpDjHaIbfp+qbc/6AzB3M6Z/pXzZ/S85gjW+j62yjAoabDulR0vh5L8kGrTT29i1gTjth6PA+s8vbRE9bfmm03MR0eQhPAPaBhk/lo2wNcbtjqV1uNKhPjzLZhVhxd9ii2pgO6bpS6bikUIregxata5Y70nUd/55KVyZuhVXoozhU+lvlVQ67QiAGxKqDRavmEzBf+zOmv3q88u1LV//N/+gP6N5V08H0Pwbu1fQLg26Io4q6+Svb7dvNZqDHSfZhzWs02Joes7S+1c+v5N3uYvTtb2wC0Z+0eFDAaL8ByCG2vo8nUq3fUoS5H2fH7XeOoXKkejDHWP3z53QU8dVf8hwJdbxFGMEvCx+aqNxuSpKdnqUdXYXNsoLCJsH46kJnnn0KykJlhg3BPMSec5vQ2S/Jy2no12rxyN63zwfKROtzgvcM0aqeYvrbmDyDPqdkqv44lv37Pks1tyxa88KpgXPOwPNc2FiNw0+V3WvFIPeYIwcsGsotpfLr8At70vN9MQvMfz8v+y9H8eCzMt7JD2FR5FD9+BJuPYj491shWq+eUtHMSB/W3QM2N9XyWHxe2gAvMxIr7g21UX2ZIf63bSPcEKY5OVgFlzjUsvdoMTSbqjRcnQHAG73w7+6LrH1AzDMsybs+V5wbnCwu8ESqr3Xml9zU7aLT5LfE4Pie53UUY4GtDsIdgWftWLRCXYK4o5iJz4c7gpNM4+FfoxwhPHvd8PCzY/O6/ypQWWi2aij2W4DLJTMU4f0lC/uNK+TCgfoBwi2x+8okVojO4oeroeSydDjtXZH5YUlRvQPXVT5Bx1PYmV5XmeCQwoPwmWZr5fSXRwnLMVCtu+W2PujFuWqaCESI5j5fGnKr35T8PJ/gjraJX31+7rgoPrPwWN/EvF5ztF59P76Xqe3zDv5DeHzDXzyKHusfvpjkV8KbaLlsv27JAi3pxumj3xDgGPST+/ex/DL9znj6+snxuXcfph9oYhaoIzE2+sEHuri/l5FsUw9tvouYGF2Sb+1MIfq2TdymYukhjViB4zkdbCnCE3zigwqw80Jaks7FxoWTC8pSw6V9QKmgnZOZJd2uKNwzxjhtFTWSpfsLcp76m55XK2tW+k+zkHT2QXdiw9I1PVy54CDlXDPADoJwaY2Fv+7oLnT4BMeeqqBPD2Z5voq7u8Phafbr+g2FBgP6og6IVi+kFl2fROmSp7b+iDr7ybbwfObuvx3rl+qSAbnTz9PV0dGRGAClctxXaZipj4Wa17QQfrnan+30OROUVy1h7dKsPE3GiFercZB3Pb3/Vsac3s/H73siotTfmYM0vnx+kmm7Q4ctbHdsVuezeGkQehN48PV6RktcfMbVR6P7FzyPXZPCi3BWzL6wFOiVSf1vsaW4HGaykp7wAB3eYa1G7RY8GrmqvC1cIyRzJo2MaXRzPFfZKb5VZhTViDa5D/b6RXln5TO6/PhuxpljUd2T1z4U7BHUxHEAgoNHtwb7awe318/j3+x9MghTjjqxnv2PXnICy2a2+/rGDPUosU0D5siLOkHRa/evPaKAt3wgX1wXoD4pZpfhIKlN99T3w2RcceSZ7nj7X0njUkfsPQ/QN62p9n7BK9XBenuD2Th+cpd1VhFCuzFVoFV1cn5hUJHdJgqLov0v0QmE0ocHPFDqprmoSRHKS8oAUnoYWWfq1fgX3pZfnFmec11mWM6dWbI8Hj87bNIkh0N7qBiM1EULZrzqmGWX31y4b3M5cAI/eUEBSl9Dz9e1l0VVa4Gf7tOt+Uu9DE0sZx1TLgr4QJ6+JUx+7RgUned431ugBuG0/LUbnZjo4pwhBuBG74u+2QVCeCz8jX8aidGdwiHDQ860Z7yp5pKdbBh3efennodgjyqWbBwu+8LlAmAveJ4B2lo+v/M1QGyjkaCun9JnfjaSNfmWFzUxEhon1VOFTx2LuB4/NVd57hu7J5sd/Jcr8NTfzA1eJegtxHFSVV1kCayrP9MZ6Sa9WxIzHi4OFZfvxZwllhQ4DfmrL1gCl7TfQCSeDmP9VbNFznte3ARA8+svXf3PoJJk1kogJ8+8tiOqqAErij17wyzv7hm0tzJnuu3lDbiDoc3CoGybkWmmmblnK7psyM51NqF5bHw5tvZnTELbJuS22HsvY2pQhPjJunVIesRkUTjuVbchfmcJBQm8OGR89s52I0LeuAaOjtCmZvs7EetsSbj12eaM0UwYtFpdV15SgiWfZO6ehhGYGza3Lq+dkHSqITLouYihXldPFNmzqDy/wuQ+hyqV0mhw7DkBNAH8xiVMqxf65MANC2Hnpt/mN5HmBcu9Ro4XOhAv1ZGJrjv0bgn5951TdNmSC5htZ6x+mI7qt7QDT3zPWVVXbmRXYgvLAFL+ekR5sVRU5fuXck8ler7dEhLvjmp+kzOMi+3FJRQMvt4S4EsQphcX5zpT7HDKj9bIqqf3/y/pFFxNpdhlU6JxFT3pZWH2gH89F5v4ggQgqjzdudEg5ma9IxsU9UV4r8xzUr4KzgVNfQFTI+HmLbFx8KMbuto3XJH6mCUAhZ13zv8Kaeio+nQuc2smEANeDIL4anEefYfsenW0YZGbr61LSTHvwumjnWDcZCFTZxO/u+47kedqcLGVBryvvdkyfOxNBfMX+Vg+87V18rFmLRqOykaTFnSHThZsA4VmJwarWF50IO5zjskhFgWtUA72jjD7Sclsty+cl465P+M/8EcQfI1Lv3OqscLGkZtns8Az2U9sUvA29LDlTXlVZiuvduFrto+IHKkePs3N8J2RYgzOcnp+ZzIMMSB3MhM+idOAEppiYGCSnHu39ZS6m4+aQ8lzwP4TObUVWHEp5CawOhgzz9B65MZKksB9qg/yVrLzkbV31bFcn+iUfRfr6ZK2yQhI/RXT/H7XGjs6bvY/qoDfUt3kUfV32J04rcTfPFUdE+2izb1nPrmZm59CuRIsTWRBxZ/4HLN7Gx5vouviSvroLA5dyUhlKHxQ19DNFaUSc9IsNcuDTR1knsa1Uo8UgGKjAHaQwkXa0mvdCPGEIaierd8YvOSjLLoHWhCWgpa4Fk1rPEzaYEmEm8tVPSduoWxl7aErOF11fBTFYmMw+vkfvj3FWtgbG6aRDzqbL2t1fKY9nOpxLM7y2IcD71SjrEZZd8veQTDOdGYX76XAT01cFxcE9P43UaxrH8XquVavSIww10FfTcXKlxaLHzX2E+fgKb1kPoqdLweBJCujDqMfGk/kTae4Mt3ctWXoif8J/+LUfOqTMFPdyHlO2frTvuIq6WfPpMCtsXnZxvMHDqzM9PcpPcjZ7ygSVlKzW7cRruSoxkWM/wsD43IQoOK3pwqJ+72HI0sMj7yL0YxkqIC/ZdMSoJzPQ3tE1Z4mCz7RzRPfJ0a3ws8Jso+6A3BQKCJ3mOe3IptVE+S/7hNdiyjktz3Ub9bLvAdWXk5949VLPpbr/5iT1BOGCmQjvI39Cx7CDLnqTvFnl99Lu66ax7FZEvu9cIQeIeHNIqqsT8AQHFe9JzP3xFmTmsB6IW4wnuBfPQmw9UwLOnfrUKrsHxwqIXlAMM1e5ZVrupEVsv5Qbqv1C4x8CMxfKgrU2jFuUjyOewqL1kzOmVEQLcZXWOtZIT+bbV2Q5tA5ynM+U0jMlSTlIojfCsq+/AeOdftQ/XuCsnWgXPGUhtx+j1Qq1nyxoTB5knQc2ys/CO5pNHWlhJ/eocvbpDzKx1+dtq0tMdO2CmJjsanf1FekGkci+PdXDAdlRPI/SMvu2+XTjnFKuKiYHKMnLkUXItKIlwPEb6zQf5yx3oLrzzh4GHK/A+VW2lJwSd8tEvs8e4YTrTdqQ9234XaCmL2G9rT+DBI84rn7Ii9acb5WvA26yZ2yi3cx0mpkagL4m4dkCLPLXL45EoA3BQigfnZQavZLV4tF7JACJNn/LRediJKd1S0MtsaydQk0e4Vwf1RDpEYi28Eo+THKDMqjwN+8KFA96K5vfXtdV6YNlBsmN+QQufO3yJ8/1SrmLkejH57uUIuAiMJm0se3PF9wM9BdISc/0qigKum9VIgJI3PuvHKnEPoldcW9gAEp6WNLzrnY3+2yiG9uh3vXDVwC4FL4Wodk168o+ox8pm/dthCMvTD4g8HYvXdWxcl40+KHvQEZ+GKL4GuS2MBbfh8xRxjbXwFkcRaP3dKDr7NvGZ1z1kmiES4WoLepfRTt+9us9NMyTZUi6pO6SezDB2Zc73GqNHIhvXw8ZH8YHPKdPhaLSX4vlkudcQdqKIsy00HUFG/MOc9SEqmeKs3A69QhR5MHnDIijUv3QUoqlh7jRtbdx/x8rclsRAZe/ApVAuxr8BqR06VyNWGnd9K1TrQ0cpLVP+xH9sdbRou4XAZM8vOAW953CqOXK1/VrqqnEz7pj6UYpXRXlq1MvAqVVG33cak++/sty7UbK/r5O3kUQaxnt314AK6fdsw4boo3Wfvuy/oovXa67O3d5zcCMXi3EcLMNOO+wiKdtDdIqoLc2ZlBJdMYs6YUv6S3YtjYXIfk89v/+f/8fPIKcXP++gS5YWJ6B84gpcz4ivDxFQQKSRPi0UQ0dkDrXb2d7rkpX8XqunRY5mG8dHrNCYRs/22ZTCjuExfNbDSo/0nYAQqPlBr38QkxS9Z2HrX6cNVoUGCdTM7x4gzMJ+hose+d6YyV+PiItsectqSlyriazfpVHs/kUJbK9Z1xVhPLrefLGj3ItEGuZX7QmevXSs8oTiS4v0WC1g2ho4+FT+dYs/CZz2wkez6/Xb58vsTh23qn3maV5BIzswJTnrAN2wpaosuMbezPPvMnDtPx9AqpQafQCrOTXi++05sd7izi3Z8fa7OiZyaJ4AbD41rFmMhtsEmY6IbSep0h87sITxwkgtRFfZ3hxBMCWQj10XDZ84NSnkA7In1kx3nAFeI7f6e/0tTteJoi/ye8abhKK1pp0X3h7Gz39X0HV4hGQp117d6HMiGqdiyk8ooI+NARWtF7Vg49z3Q+Q9rN3y8fUbyLRM0guplGhpqX0WwztAzxmIoSGXW2IuVh+tSeET1kReLUT7Saxni2fLIl3fRf/sRgOMZfyjM+PmaPGlMc7Oy85mwqjPF3UPyIWN/NxCuheYdCDme6Ik6+PLRsrmvF2FFGpyX13Mn4ouQGt0qpEmFLG6oHszSIjk5u7M6ZREuENtXzffeHIv/9pQPyYdBA1babYNmRtRlxmIBA95FU90KKHKlTB0AKxDiwZifPJvtezIptk/FSy0m/iWQxWShsSIFfmuTSHNmlXdcu3I+yC4q1kp2Ji3nUpoEl94oF973A3DWZyY+7uPA8ppRi216AvEOP4/uEicZjZl3M7zyXLYnKNn+1CRmHc0FynQzYQmi10+Y70o5WvK9XP0AR+IYl/53JGlPFUGZxd0ee/J9GgJShDrQf9Tw8BqNN31NerPA2fZRW6HP4tkgUXrAdRcrcfcqoeOgLozOagoQ6GzZAnH5if5NHI+/Pk6Y5FYqhONWRIDx393rk1GnhGHT4FkSP94silVkkIE96gIKwQZx+5S6F2/zSm2s082Xcuv3I62QBzMH/bzNzNlNXUZfyx/nFCI1A89Svsw/2ush0GdQhROlnePA6OinJQvOdb6hqYg5up6A90uYwCmX9vOXSfG7tH8GRXHhTdTpRJ3vNiSfubxbKtGO4vglvBuCSf2iCDoBtwOAzalz0K+R8FdA3pTDrUul4ks1lW5GWPAKb5CwLhkWn3zILurhyLv38krnD9+pov4htY83ZhI88gd+79Fd31C6v25i7wVRIsQfB9zX+qC0l5v0rjL7dI2hrSaO9DwpaKiuut1Gf0H+vn8X9+NOP/BeakjTN7Y3V85vbEVoEjL/Zrciw0YiXWjvTL0N8z1rurZceF/j+vHjRNC2TV7rmVFSvMX/RRGlXveyU04uAFEk30jp7vGPRnpcfBBfNb4YTbDyIEx8YzxgCp+c1NEPN/0CvZffCUJn/eMFTLFQ3lHgwXs7BhCHesM+77h2/svWn8J/JNJqzNbPW3l3pJZhl3U2o8DIzUtGqb8dopITUR2FbWjGdwcBp/kZjfu98Vdt3D1q0IOU80lm14qz01dqpCcw6btHSj1JiIsaJWP6bGAY046IigBggaeeP8UPY9msM1zyPAQebzg2ALqJvAbsbwhEPLS0P59NBcgUKvh/jkDXIqQls/FIUoKCC189QVccfLPDqJYpKdlfR2QIiN569dUaZWzuOkEhOe2zO18bCWffTB6Z7EOnnaW0v8rpJ9V4IM3q82lToLOmVKLFmIfyo0Orn9U2mOjRaFcv1KgqMovg4OYQZRu6KKHmdbDB1RYOTqkPFdEXrD6IMUh/CgKkVb4dLtg6fiezI2PBR+EJCsvm1n2kw6A/Ad04obGg/23R1ywMzcXDYN1elsy5soj76u2au8Js6/3VnErB6s2UTe0cuTWt/nBdFHflEsHIDuNzuBr/YfKKVIT6qf41v6uwYX34wMexg2x3G8tHTa5Od8PI5nUCcJCtyX/Jlci6VuYCo66LvE0SR78agjOtJg2vpWam7J2xQCvASXafRwTEvsJS335nF1QGN9a3r+bHpU/5bGGT087bKstYldeVx3jm2feq6jDxKY3sPpLmZkbGVJe4vfm1Zcx89oZjDv+IDKY/m5s1N+aN5uhKZhgPBNNsvhpJNXZfNF+ai4sulCz+kdY+UUKvvNWfPIUG/Om6y7/KSht91HlwRW2cxCjDZo+tu7xwPq4oh37TdSGh9vkw7lFsLgxwe6nIkex/EjvIlJM+l6tY6keWiw8i05lV/la+eZkwfcoIIbNb22x/vaGU2N78t69fhI74N+B2Yiw5KdnjJmpXhfl5NKLVua7Ct1Y45rdn2Is0BtrWESOY7m1Vp+CYWYprRzclLZbsRUHD1Eplc9BsLG31oPwZF6/PEgxRN198M4wuihhxKWS0SezgKO8oy8lQ1lVqJhNrU6kOQnONaUtQF2+FNZYGfBcbPs0RJPuk5cjeHTkjJny1aO8fHkhcnGawBp0szHXf9BwPsd5cLMe/yUKCdT6bkFd6XuSWW8eD6oNzqO+FeFg4ks2g9N5tyNJf1cOOkKN1BiJKSAsTKPuXFHIqt+aK3xduoP7F29LYFW8swDoI/eRRnRLmF+3cEpoudVFVezobQUvg8mJxf7jU7gdHCvrxAMlq45YqnjQ2thW5r3oUAKzYWuY/ELHvsNeeCfpFORThXKzwfVkQvugtLep2W9CCVf+63bXkn2E0HkZeob8xp/PFyTxVjDIApo5BdTsSfO4las1xONn4Hx0SOjBJh5pvMgHvyinN7Jv+/JN/ljZwhp9jso3YtktsdwVJ7KFj/p0fWhmtG27qBxJ2NceJhTuYC/Utw6HSdQ2IHTHB6/zYl/76gG3ISqjGxjat15hVOnBn+wT6WZWJPBK+eRVI2+miF0/57s7CR+8mjVZcrXhxs5O2xHVf+YOY/oyesmszEe9lDiGVuv3txDkpmgXTdM96LitjujR9rbhZjigXLMkeSXgdUc34v86dtPoDoHsj2Kq5/g4YjUA9ZpXyKOk+2dKow6AbC9/yg28UQeJhF6+aTMizwhFusHmJdoHOEjwQ22G0qJcr9NNRQowV5BlBu3AIlIdfCmWXnlnZsblvQk8m7e8kIZv8YxqyNbg6E/fQvGl/jOrM2Doh2sSF7/xeK9rUEUdPVw++XOv7F9SmCoLFKvX6kzDlSRbQQMTa1SZSl2Jx5F1mIt88qsk9K3jDTZtfIE6uvN1lnFiRCt7w1uUc5uyN7R60RvR92m03BaKTOe57HZY/xo0J2RQous6BpsV/2W6gMyfw+mJYGC14AQHuei6/JZms1mIKKt1izdhq4LSj9kRTgIFSJohSdhUe1cya8eqE4ko+ANFlM7T0Fav/HI81xM0OVx6k9XaI17lTSd3CE+Uq2N6St1clCTN+9bk1d+RJI0zFJKxbaeYdnsZwJKfrkwH2tfRUE+WTJ/xprs664xQTsncjA14ykngRTrzVsqadmNwol4rNYxKzO/rl2NlkK7WQf1i/KBZFvfgC68J3uNLOd92cAUaGSO80HndMQgEVak+ReGK6tdTgFQ0s0epZ+hRNBe855Lr+O1UltdF8+8NyxYEDdUTY3oWxkRjUrSFmfZF2E5nkduNdX0jLx9n+rxR+y0CvByhERF1LZPB7wZ6V4pJ0i5mPb6j8ufZ44KAgS7KbnFmD6XyE31vn/sJSUMU1t0Zu4Bf/DffgCzxL1jKpu8FM1q9fbPKggtoqJ1ZG9dC4nRv4n1xDW8dJzn3nrbGhw0/24BV48SYzLaiQeboL9SjFm4BzlNWwLt0U/ystulR2/7mOgVh/bFMVRSJ5O9KHOVfBqqk43zkLPBjA6Nwr6O1eKdZ9+X1zEO0nYjXs/NvD2szgv9LckP9i8kJnurvdphVV9qiViBhe72FH04avtnaoHI8T/99CGhS8Eprcah3tbWd/hvWOsrHNuHuHLv68Clp4sDwtOM1a0rRwKk7c5RTd+Wv1japRwLNB0l/L3nUMYU3NvLPjfQy8Gi3jEQX4VQ5wkC+Wbrnav/+XuVFjcfaGEbM19F95yx7ocjLeHywePjapKqIrRk4EL+M62r7rRy7ccPvaN/fnCJ9s6YebWrX+7jC6zehRfm50TO/hzfmTRZpwOUvbJpud0SyMrqNc7BzISh4Yruukfs+Mir2Ulug/BOZtbTNfA4Jx/L98HM5jfmAPecoyXwdBWWpwARcbXRsiUY9SOfmRbXJmI6mPf5QM6g4vw7YeElDOCK/WvhzCnZr4N3EzHoDAS74bgO9+p6Ljb+3qR7/FqLpM/nunhZF0GfDtxw+Uvq+a+6wyCvZ3ibhQ5RVUyVCROqxKnX2t3RGIfv5lXtnLmxP+rbGmWRg8IMqkKmMQfKMrLrTCdIOPQt1YTJBLlmI2WWiirSu/FDN46ZuQfaLINZSn2jFLN2iixZsssIh968rZzoCPs007mg0ZD4wzQJ9S+p6b1DEvmx0+4JjHbpvoW+vdvdxfGypMl6/RzY4qsPAFD3AI84d38pQunyDMdy4hL5WGK2cje7a9qKO+27yJtZR28nUdwVURlpdjNvS1rUQbB3KZ3qrt8pPyJlFl15Jm9FjyhzIavHiHEgIvWfYBpOCOqd/G+gpXTUD4Cz6vRwmk4OdLAFwurxXSQQgOUzM7104eMZpMoDVdhn1FYuLdN5CyLsFusSyjs+CV9YXuHxyfHt5NWvgFE6GaU7XAr3mG80Ci0aSvvjJ+721HKnTqSqCRv0gYRVUzkpqpYtcq0PpdWRSsY1QHV4WX7MGyVev81dA0uj/AwJazI/HZiqoeNfWYTFrpnYtLKtWnes7ZBU7v8Zlh8BX/sKqbCu9c49Ba2Ux6Nn9kbv1/LMDlifWa3zMqUn5xGNGsKeh33PYXSj50Q1Mkhj7lEBnDUECmF4jmGv+2RX0MU6JClXnKVnmLBVr8byk/NgVO2K42q+RyT5V7qxln7IKx4EPKTnt/CWgjFIl+DsiuPhEBobQCpdkw54olfzVQ/qnu655oDnY/s1kzH2EI5+tPuxaYXkvmpKEbIDHolveOLIX8jLG6y5HFaQd5RtH8aKBFwCcelFQNzmn/45LAu0GI2foL+gzn2uslKmlq0THG8d+8dG0VDR49Ulz412W1quYgljjyLvm0VCmxsTGlLjj9r549KRz/JFaOITZ+IZ2EZ/9LchDBJZb2sYUmfkt+SsC+h/k7we5fOi9aNyClczFXgPZi/WWM9jOT9ypkshV+m+katN1MJGRwDOogOQpR0wo/ZWZZqyz35iwew+YlefDiYtLOZXbPDLDgVVly1Gwu6R+CJSj/X1w/4OeaekW3UDm+ewXU6awHn5MHMP3x1gpcLS9tQlWU8nteX4aU2+7TLeYHSPG2jaa4VJPeuUD7lfV9mHp5R/jt3o4kC10CLt9evDdCNQvOT8/Z8TkaTJYzqMSPuxvCJ3uqii+K9XXK2OWOfiQxSt2u+0Npr1qe6gCcXU68nV1vc8IfqpPt+82nYn+c1wIgQLz47klzPiofWf6akyp3KszuXeFzsrCDV05W0DkwJqX6OnaZhYxZPBTg3OTPa7TfFQkKtl0zZ1hB5Ic1TSedTpm8Y32DhO3wU5Tp/fgh4+HlQCiqkk8BHPha+vyAWJ3GN+IGWLFJIRNuAlAAIua49GGbO0qgoP+bwfHMSD/Ki0eo9OeLnkdt9oFN2Y8CvL8LwLtbkduHp1RICnu2RYNdU+VYxPkxz5YasaF3PlrGfTHYI8yjT0lfyeHP3O5a13hY+DW4nN5DUMrss08WojHakHf0nP2V2jnB9O0Hw7NzCP+05vttVd84mcMJrZ5UyIwxVOSo0boYRs496hwOWM/dARsO2fPilkedw+SLKWt4D9BJWS7yNtK4KhLxR1DM6FoE8bhY0Kud7S26PNQwYY8Zxsn/TD6J/m7Js+j8pSk9263bkNFZc1YPI6sgq7h+s3Vpt34k4wXRk0JWUhXVPHaM90NVu8v+omBB6iVE2SpAc6KHqo546ll/JanepVw1HoKeq7Yy3jBUdSl4VXoefe4X2yy1eLVxsQbm7tIRI/z5RYl8KUdeg02KVqIutRxfMEYuYiH2lwI/kedD78iFkhePSLqwxI+A8aNZmtmImzyh4JyfxQlzOT3X/YrvgWjesLZOfL1ZKWXNdjVA8eR363FjVE1duNIL99XmzJoMLtR+8VP1ptInvHUdCZaPs732avUia8NXhQ7l0cnbmiTURXmzn9BTwXskXFk1BVqteK5Z3PIiRVpdlq8V4enzwLg5UXvJwvBIW74A1N5YZUVn7LliavlCkBRon6P6odhqLlgcNhvqSh82QAB4cK3Wlh5YXn2X5f94xgRjamWXSvdto+EJaRPAhZn1lV7+dT7NK8SL5pEZeoO8/b3Emi9vaLoAGGzTG8ZtEkpRytUEP/4wFwHsjjXOF7EaXRKxFSAezcDEo0kxfluGmeuaK10spC+MCdbRFSSJgr6LNJdwdBQp1r/IFN65o9Cdi3vuM8l/wOjIR2OrFVIPamtgqZ3d/I8752WlOqeOY6Tl3VmcVSbr6Hq7dRW5p5MjgyByqWkr3RrNffFHpXgMGqfMRkoe1638mJQ/lXqAha2vMBrRVP5yrb/gZFyQPtdAUCYOzNihKtiAwVtHay9Ut0c4PkzMvLgSG6+NXOTZXwHkoRs22ajhiVjzpMWhqJg9c7Sqeff42QjG0GpbS2Uk12eiAH3bZv7fK9I9/Kz/kWoQx6KdazEbPLTwzee7LGq/FjPw83gCwTNPFPYUjcPZvBDv9iyLWLoAgbkg7J+HhBXx7LJXWvHkORzqN+K/1Vbe4yXTJMf8WpJtKEqHaqkZX8lQrlAg5tIMj1bLFvFOvX9pyH/FxO49T7DUdg4sepQU18Jci2YHHeIQ8yfgguepUhCdFrmYvAm045wiUMUYdPULKNH/4xCZBfQNUu8Sp9kFptaPRQjz6lHDHZowNQpvP6XKCH7XFkazg0VO9cXtYNVRUhPdzDYV3AvdvDzY7Y6XkM6mOlEymqE4OqR+wzeiTvywXY617JmmHEK6Onb5FIiYXDENOrv63tlEpJeB19j0WjdxBQNZnYlD5XP24PAsiGY9SI2Vo27BMjq5i8hNcQUMktXfQ3vjDPWtYLP+VFjU4TF3JnTOtrIvmxaaZ5ntJFvUQaP8nO4JcG+5xmnZKndRe64EG8iwuY0rq+g5KAoQrl0PZBbqXK4jtlpotwTdoqkvzRj1XGjuxbBSDNlLPghZL458s7lHTVDhVeuZIECDrtFiVFz1WdiuRHw1BhWfH9xyvWvf9jsaxdZxCw3ujl38qVEsflEXGP54as/dk8NzvP27es3993V9pNgSAZMNc+3NYsRFIZj7jkL/eQa14nwjqvRVN/wXmZ5waA8jxaJ975e04ud9A2ekn6zoxLcvy4Ldy2+p4TyPf4FoCb2akEyywAK4XdzG3163QIgAb5mp+IymcBTweaS3PuWQA1viPbpPzOdQq/pTeKEJ09A1WqD/uBEMesqC0uVrGw/Mn+NzfJtr2dLiegtnaYjc/My23QNauOaVAwxFWhLJ+yfoKtu9qIQU3GhNXb4eNLVf9YEl3ZEJ4Il3mi9iD4p3CQX0XaZ1bDnw4nSkZqemjSmh29wGCuI7CAyzZVcrk7Msg12u0/mMh6CktBsnHTMs/edySXRou/gRdYjLy8l3VSq8jC7qL/tvfNahN/Y5LPxzal2ejgh2gFpyJVIb03ow7ojVvoDbu01fBYaXb9tQsEBBHlkzEOxneYvvY+BsjdELuayesOBIKchXJSAlao2JuCQ/el+dbQybJ33+jUV6on/LI4q7AbDL6arjc5kFOa5gXj9GVRwQEUp+8tnMFV5zjpq5syx26xY5DfEDQkzN5WuRVrsd+BRKJARdwxv/bBwTjWzLux9peo6Sia5MyzohyG7a99rGuwQA+3p/rqQH8B99l6+yE9r59fP1deFfMfKKgmQKWPVKq0IbaOx1m+o5yV45wYQ+zh2+moMn7NDNiRsaN4hqZr5+1/LapAhHjJ7YiIXv9ljjr+lNVNmb4io5XQnVTuaL+rf/6VtofvGkkHPLBTOPcAzSPuypUrDRx8g3ZNv/HORUGzR4Wr/eZmIiJ1eYiZUVI56mS1O9639hO92m7KxH15VXy82r8rfPSN9zqULS+qneP24PZR7lAllXQ1w83RtQM3L1Jh5dVo5pHkffPcFIr6H/JdD3crhEgRK3QZGgG4U/QywlBOxnKqL2OgUDeoFwRrLc7effWWLP0Ov6Y9WOi6tBI92ylpH6jqhTNpy4QJWpBYdeS/ZpNe4zkMYzrOwhPL8mq1fvCvQChF18rqCgxJzu9REbNc70Yzyjce/uTatFLOMb9Zv0/1JW529gKKaBV/kxalTiaKR08XdyoS4+L1VhMywOgd4LOmrN2qe6T8UCJDpNUyMWRA2/Ns7fMW4elpiM8QleyGIkMqa0Mca4l6XzOuPxLn7invE+vl7fkzTESJePYhdK9ldaBR/VMfZOdaQKo3x0iYb1rXXuDMZvgKGj6N6DejS0Xz9SlF3ECHKuYmlXIqCj7qbPs2Of5SJ99peGHuqoVjMw6KXLW2KXPpQStQy3Q/5n9qjgtnHe3MT0kFHKJLLGQkb6ktsjoTnKULUElZ8fMn4e0lo4T7DhHwL73GMtofykSqQszrLn4FkN7XzmDqdpoo9V0AMzRclhZjh4kmfutF8d0o30h+3l5quBypwsQXbmBE2rZlV56qkpTZ/fVdFjyVuzlPiVJqjxQStWnDBQtlAjR+gKDxM3xTgOwnAUp77E8Ywo2+BXkN/scHfrToOH0ZlkpburZBDPRXibCXfNJyon1vVru6Elv3lF6XZOAvOfBuRHUNtVKnQy/bQjkKfQrxNxACkD6OUK0RWnENku4qG64ByGdFsdiuOqjIeSC0lB7ydyQ987SYubzpcGHHzN3ytpwq5Ubt4asF0NNCiSA6OfUS2xKk8nFqya5y3+T5FKTWxUAdDaJe2K9N0DuhuiZ0K0xb2dTEt5bJuuPVx38h2fcgRtfmi1Ibu89V+0xB+LV9outPNeZvhiNH3FgpiVVyjakklGJpEEJ8Ob17EulAxxX0GP+GaoWivfY1oYe361/ecoZmEwxXN0DJT5fYhpOlUHMWo+ucL1stMp+0N8HCOHaP95pv/Ph6j2hyKpT+w580kTXP3xWBxRZHtNPR0TfPnxmMp0SAa8k6Z6qtr2NoO5vn3Xx6ISDkXkoz7Or2wD583BQLfPijnXeYbZ797h4rAqT7fSpk1iu9WTqivH/y8BERU5Lkj5o9u9WTnklCL2fFE01zvqfnmuSOfk2W9Ph9qNWT5rx5OKfU8zsf4INtUTtBiIc/97oZtS8w1TqGCd6i5rU172w93OgapHA8uw0z0BY0Ud1YE3qjLZbD7ZhqWO7N5zqJJ2JowerzajvseuNaGmfvNfjKgUvthzXvHqWyibR/SmTaixwmqtdXS7Wrd/mlxBMPM5BU9ho7kwd6JGlg69AY2eLUMP0q/JuwGR1vBqd+bBO5q88hab1aC79rzdUdTxTNRIqo3U/GxmnvSdEvhWsReJrzjgH52BV+/jRZNBwvOLvRoJP+dEr4zUZepv70mc6vxXppj6+07GYC7tE5JLAc2uSjgPKv59HESPwswndyIO6mckf6ucRHb4Ohpo//17gxRJM362q9eNRTciGNbc3KB079chJ1d03AO9195xJ/ohb+q/bJcQ3M7+nmXE+8gkdU1yFpSfPH8D8VtUU0wkyr2bQpy6dMYZNfte5RANyVn9rHA9RHCX1fQTU71kpC9mB6v0G3LQvanC/K8djI+SPPp/qgU5JV5sErw5tnzLLEAgsitSsEKXDZz21C9sXe60m34CIA9LLissfN+VgpFXfQ+oDYjyrbggGhjuMPhXx60gc0Nxsr2cccMZH6KdADlFVQGU0yjx4Kzza+mszV3nPsPJNnPlC+8+QBACjZ+Jknz1j4cPh5PPJzqj73sE9x4lUZPMx/6QEoCftW1EIVPpRJZVt8VfffUytCpdKXIVRc1kivHvmBgmLtWfTNBarmM94JAD9F4C9TW00eVDFOvOt3AfDQ/jTgP4IwJb76mlcJ957J+xsk4q2nSk5HMy/+VBAk+45qKDV7wYQZVH2szlT3Er2tZicdOKZyhMT7gp1DefllTQGPXTMv7lzxPoI/63G0+O9I7dcckFDpmuic7efKEHpj72W7rzfCPYjuvBELhuw67edhyZPilIYzN9jZ0Zu6h7PmkAd75F4+To+i4ripDorrvUBt3y7xZmufmZNalzaD5gWmAJJbhzVtrU/sYUIW0YRJkcYu68jTQvW3VTcj4nYmfkKetiRv8nwUwz++aoyM25XqgqA8j/1E6Of3klCO8c7fxagQJVIn44veGmjzQVfe49kuHdtwFeNDeZ2arySMTLbyq92NlehFEmv3vVAo8PDl7N4bFm+qoBBDdGcfHGgRN3D1nVHe0yyh36Q8BKGeudN4QIxpaqKwNYiONAn7xtZ77XqUtxMmR0URFBkkoM3OFIKDSMpab52M3olfdQnj6T3IL2M2igpIJaplRcwk1IW2l7X8dANu/HwThU1zLUHLP/eMW7HXe2+lVi2xnqu8juNLjPCtbFHZFA0iTcTM73+dzEbv9oTQD0zW70WxMNsK0CDH9jtwfGkxP9FEXQHPNR6osyfds2pHHvQnsW9jWim7FAjFVtgPUaDydQyaSXPgj49HNFyr26d9B0JU/kQkNvDsx0Vh3ZoDqy8jnU1RqqCuYd6dBv6uwtdYkt3+UiuxdPY1VRuqP4RqaedLwAUG5JO+dS3zdTkSKjosSpSQVz+121vKyPJ5wPn7vB3t5nC+nkXOwNlm4eXl43IlJi/0lmMRwR0eezpP8f7VLR1g8FADUx1tk4Yk6fefIQZOfsVUK39WwjRkihRuNSOLFqvGVz9oK1SKXW56ewKQhbUcVcOPcqCnv+EvmleadEWf0L0TbezEv69cd8jeH57mtB4ikQl9exktwAZ9wu/9clg3eSit6M/d8bQzp+NpyFiMaeqL87iSHImS1NCBb4CQuC0Vz9TXwLb/9//1/0y7HN6ajPSsuW3LQmetv2brX+qpK8YxtGoLY7E63un6S75EUb63XpBkN6p/crRcrMd3huaDuN1S4OjPp5/nCCPPqTj5y5SlavVRvkVr69Wf4QY3aOLsyxAd+0XLay1eR3+lpA/V+alok7AwbAvYm6BracrTsvaVH7pLunE6JqB3NJp4b1KBABXJb2ErzG4JBD9XextDiTQeSKtvzLOCy2UJSW7X6dJzdbck00PmDuIJtzIq1L7xcOqcDl83WUxQKXmTwQLwlWw6706kB5/ESfLeiqYo0u9Xh4oJ2TauV8KM1dEv2iZulDUyuwT89jUDV+fIlA2LDyTNqxez8T0cZyf75/N9EXLuMEp5j4o4ZoL2MSmjb57JAbV/lmNltTOTt92xQmCeIBpPlnOSp3bz2NGLn7J+tybLkd7kCT656yzzYj1CsbLLSmvc64D0OZ99J5m+gO98pU52THhuGviQW2wy48U95nrPovQvd8APduaGJaawtnH2abpteW5l1/8h8BGJVvnYPbc5+JtnGMWlAfyuZ6rwifTssNj0Kc+Dsqn4XdJZSzZPRppbQWNsPv/poDcOg90ug9Pl3I84cKObHemZPxETTy96H1MeV98X/VJ4HAgqUkKtyxXxhz/StNYePn9rojOCr6SLErsbpzl3lyCU/rozROI5DOzTZr3j5pu/X7iHDAvBtw5T05grtwdGcORn6qE1/N0e7sQfUIU2GtOHUHAu2EphRQK9L5dOs8N61GSWUlSPyibbCdLQFt/MSF3pTeFaq2gaVSzGqpUREfiY8KhDU6VjoSyutGkAcKnUHghkl9obGdFFatdt6l6EGx+OTdOUd78A3djfGDy3ilKEz7qe585IaYBqKvrnW4d/MiJEZAs2FjL4oPQBP7A6ePn+xcv0qmxNhAH+KARe3al4rN8UMObJCXMiZeekAkr8+D/P/Od8ZX9gAR7rzTPeoGGW7d8Y9RdXOINNfP+NafhlJGr+Lqwz8Xsh9KNgLtTik6eOjaUKwkk0RhpJeuvgvr23BYJyl8uso1V7J9/DByof9UV8MT2yf0A+yk+3C0zWejYvoauDRBIOTLwSJf80ZvS00itAyNcm+LtuBbBzoU0XyIg+/jQyX1Tgn33XvoDH41cdkKR6IYNQdz+9lxxLHQ3ZuwlKKoNDMFOtrWI9iMJ976wOMnsfO/697azJTS98RHx/ptp8l2pOcwkknmL+fOVQGdHI81cyzydwIkNEmjwFo17tE9/0qB6aHvCcvlLhkypFtKmpXv12zrmMSdWnBBQiwc+jcX4e/Wee/8zvzMNPfZnygPVpRkg0Df18hDmVETFM7U1WIKGTCEBxrMS9STaTPWi8ev16uyPUg1iJY1aX4ObLBPP+im9SdEOQbXEMu6xRh6qOPBFcD8dhVa+YkVRPQn2FX3TlzxWgXU366pjkOTmimohEx5ZCpdV0JglEzdyRi1Sk6BKYzn5rAstx3l2ZRpJmOBkPZki6RValWu6wyth4wmgkvZ9MzhEGKZrJV720RhnLZu1BBCOXpVzsnK7UQ0/Dk4EBnsTqc27hM+SKwZTw5TwczAFzMDQz8gsnw90LX5m3wIvdN8GwoDXIiMzRTQJNkLGV5bjOEZxh000szZZ8Bw0YJtHG5+fpiG4/VCAEVHXHWPN68sBOP1eSjfvfIHCPv72M9nbCffWtQlPaZxpG61HmPbIr/9TlEHr7Usp9esrRgnj1kl45qKDGGNwQdq/NUMwwNtSFFXyIvhzofKhORW++wS2GZA/fqLdYI+uV5OkgPgn3DZc4/gG+p/4QPOtIEb4obcgl6T5hAXyk8zFOheEA+NIj8W9UCoKZ9k1LvzvUUKPX8SwbzSH6mGZMzdo6pu/yD74cuOWPEpI0j+ez2HKh19p3ZugyfU9Jw9YeF+RDOd/lK8us5EWNSo7Kh2rVO8n42SenafIAMLvEVWG0GyARTxCRdetC2m1MFRQ93g4fu0W3VfwpQaS80zE4RcrsplxKwfh93h6htiiEq6z6jnVcgpoSs2tt5+kO7mUq6jzGXEonHR4iDvaJ6JwEablkrb1ZNrrPMFBFoUC9nrqUru1CwZV8oKO8LpwE/HfTNH88nupqs2jipkhbWb0vYxnbsj0NZL1DvDAqtZPfNDLYol8legSy5j0q8OKl3OPSjtrxod85Odp4MWT7o8IuXd3OdKeuTZ2rk84J69p/YkKSr+9AF/Na0upJpzPDUUvDIOpdPVUJhLvSTbWU9GjvKKNzJK0PStINEYzV7B3f6wg2CCZXopvs2FRmmXGV5YNckUDThLwEK1iFjj2Jfje/TRjK+0a3DkCaeLN+7jsHC9H3qbGiDmNxdjWzbS63Eu3ddFn6+XvY5Boxj0R7kTsyxdtaO88dVNX8DEETQ3vvPQsAgK3FT4k3U95q8Ij62pFfmSgxBlvD1rX9eOoz4TBNRBjhFH3taH5rKm/j1jh+e9xaIjKGwwU/lH/ovv+p22GKG64WLYT9G1xM6wgLLav2dWcEy1+aBv5kHjvzWA6poOdE8ZuW3drXc5FgbD32/GiGnk2LFDdc5055BdsXixovkjeVNkW8B4Rz/d6fC0LrrL8Izv+tppQXbUQzd/w5E2SAOewnnIwI4alsWvVHOT+AXJ7j4p11F4VElP3Kjs7DLYLyxLv7dkZ6Xx4AG6frMp+tN2Ja6+URKjYQK4e/73wSz3jS7QtFxMNgtkLSfjYDZXSQMI9/2nly52FHHj+518lBZhxorr7s8RmzX6nZfflX344hNGgXbkjn4zAse0vbCW0qHMeh4hKzRx59xtRAZGae6mdr1TeH0NOLV1nmVgCnw4CJGOvtWaVl7SdFdGZrASxaQ8dInofZwMVUmgUXrXibtt6ckhxwVABy0ROFVm5b5EI59faaV35V0gdxr3TmACbtu/GDc3TUV8ZffnDLKFMHjrUPH6STSjdApZvpaq1OZj6Dnf8vVW+0Zcm249YBjLyWH2yNIUvW//9nZxB+mGBkuS1333tOVebeEWuRIAiCUEoMV0FRIXNSymE4Qu+Ss/CkacyQlrFm8071rL0csjzPWmlRcOycjbj/LjHzIaCSNrwPJlq6yXk7o3fsebBC5fYxAA8d1iMiCVUARQAg44N5cXVHVjxXzNadJDa8YQwjIsT/LUC9mjf1To1WflmuRpB666iT3Bz35lW1WJyBRWca5wAgs4EfEFjfSNlWzcAwVYt7Jcvusk4txCYEgB0DviAirvIo6tXeJoSLqhxVXTiL/aNP+bSOVHvy+/PtxpxsZ+S6OlzgsuHOj8Nmac/xxFLy7PFl9Q9sEnMP5eTcJbY1U16/n1sAPNsxcXBl6WLx4hyVp5I2rymNKp9JnT8jPbpFTAUpZLqWx18fjrsR+FQ9wl/Zum3glhnSaAsPh6wOysfRt9nE/4CUUZ5Cz95lT6ojqcWFN4zwFd8SyYLI9Pw3/nDsHoP3V5rdrwu2ULLqhHBojQMaY46ha6fS8AM6W3AmYitE95z4D8w+rKwpHaYgk3hanrXYiALBtlXOFAAcO4+2aLMz1dVeximXRsZpqXNEqw8olKTX7Cy7dKhJGTOnJePyKwOItYq+zHTTCJEKJI2ukUOKSWUPdfO1d/1EKz2so/CNHet+NgWjribSD4/iGT8mfCfS1Nb4yuuSjFunTGavcj1Je+MhGImlqriatICVVmvIvRbb++wkb0uObbXKM6MNqYjXXdqv3xMAxLBH1ouShsi8V1XxER4k9X0x7paPeJ9HP6587lf+3WXNQLwabGSYa45gO58fDjejp7Qdn/SYDo5P1ugVTBx1Z3TTOlGquB1zkKJxbuCs1pTISPImb1lTQwRo14z6T78n9Ins8eplY3ejl5RBjoxxVZKwWsyxMAb/Q04tZzqDv/b4Las7U+oVEZsK3wh0VG1TqhLYXzTv3obeiQaYBoSdw5FtUTBFUNDPAKDuv4LWsu2l0eLQB6kL4hj/IJQ3djfI11QioWu7PH0OYja/s3p+XHI4+24/zQm+w9JAfWXaVhf3Q7GLJeeTxtEp9sgNrUfC+se18JDOVYGov+8RXg0kh5zykHHfDoUcHu1+D4h0uBYUHsSNnCS2rpKv/iRJTcE104iktzeLggTVVNibsmw0bRHRsXr1j2cqCbeSZ0cdhZLXgXTEl+2VN84863knLt7Pr7Qwrs/noePU3oXQCerL4mCTmxcKSBwThgE1bWsD6gPqRYJaW/VJpa2NRat0OjgOuzUSwiJl5Ye5c72Ax73NseqwmV3kNf7TGhS5aViBfMNqCxYFDGMwInb38j9Djo2cnYMRpfjSdzfjbFi4mVC103EdSMWoWO4Pkn8ZogDTDRnTbj7Z2iWfi9cF9bj12WqtMC0yi/qTvHACIo0VGk+vfc0JFOmPw3mi7P5rXFDdp7vf6wEAl3ybwlU73FopXr/sVtkKWnbRb89M/EQYoQLSruIPDb18GmfGf4U/OZRM73nT+WWh15LzjOdHz7cR5Llim0UKXMuZp8EJW1HMycYz0uMZPdNOFryFpWdZAVyzC/iCIio//EFNfkgal0/ZvDKt3GjamDqDfBJvq+BI7k5nQiRnfaN4/fix38L0UdXEUH91kQag3E+Wkz9nWOl0AtYDRuAsTMT2IGFOlDaoPOP2gWDDYgzuYhU7ejjR1Rj+OSmq7TSt9J5iAe7Ebm9F1vNxjSoQbhlC7CuvK8l/A1NP6UsoOUBrDwO853bDY6QuSmy/Q7Dl/Tnasjn5IwFETe6oZkX+sa/8r2Eqf7qtCxNZ1I5DplMb5ZBGLx46V8gCYJON9aorpNVnlb8BpVojWKmQFROUf+5ZZ/vTRpr08J+7C3W/JiKnvB/jtDTX4YCEF4f3m6hC4LrS00E98YmLOcFALa/5sqDTe5QrL11pem5gcXelasbhLX6tTXvyhpEDTqqw2btX05VPo7bCwVNiZiSnPk5MB4Jfu+ckHsAWJDonEWKf1hHRJdxN2UywDKKrBe5KyjLYEi7WdDbFXy0057GAuX8LRfcxlEt7OLSTKe7U+Oki6Fe4mOrmmTtGSZ/TysJRgB3+nHys86gg6x0VeSiGifpIPyCGZJytPONAG16OM446Btt0AcsvKTcweUYPNV1Ry23pkc9+LEf7UL6+xIxe5dIAyRg3IM2gOVh4snE2fts9TOrZ1qJijaWzpN1bEX919r4dZL5U5Yhlr6Mx1oquHcUFwNa8svteUalh8gLG6GIJ0Wd3kuY5Wsoz/X7BRURhWEmcXSmzYOM2qVWnRgl01S4qdRW9b1+2EyOdB7p3L4PfDlPNcoTooFTKhuLHl6UZ7V0G8ICjx5lcH22sj/cinxSIfULLi3pFEml000cot0vZuzn387x++g2s+TOGU636mYTzpq4muJvkRAiG+ON7lY3kHc1jVYgN7C3L1CxjqbR55FnuTQuv7TUZd6utzoCpEYSuFdegQs02svTAd/SOtIGLzWQfzMNrp5yfPQGDcqWjLEHfpcyHJ20piTLkGt6Ot9W4b2l8FnI3/1zcRuJvkrjvA/JPgsiIGLaVXq9Wm9ETs+aKNXNIgmpO5FBatqMKLO42LJVXm8L5n3tc5ZNjRTt2hHFp2dAo35wsD2PDzoseF57SMIuX6WSAPxMNS34hqgG2qbo8q4U4LGlk+entidpyekv5puevNMgWbHIjwtvbma1Dhy4pb6uDftCUsfxEd5JevNCDwsDPJxfxwrV80+tzTRiiEt/vvKpackMjWceyR9Wh8zPmXCwa8LybehW00mwk5leXH+a2dLuTW6IHWcrfN7bLzD161QRzhYWvluNJgscpnxKaqjvzRrHMLoB+zQno2WoHlJvxuGlTVYY7Qrf8+ZSmsgESd/shB7l+Isd5a5UFFODFURF7JgWdW+Utpk0+QNND5Ipw1PPWJQJOnsELX645eisCwtFE2jxNNe7Uk6ne5mcs52FJDEF8WZngUaZqLKAPFUQxNfNneZuI+VVvG/FHSwo6GdhnFqpmG1vPSaJNAh5fBdGzEs4hQUuZo/YAM7LfRcyyDeP6FsvZ0Zs6AlxyAA+8nsHs7JB9KDABDbCWFPxUPL7H37gP9+Kym7zwVTP2RbiaUaTe25WpnlnaPf7eGsilnVaoX7hMhTM+niKII/LSMREHvm1d+oEvhzjzoyYpBl+aMDnoslNKQU0WvZsEGn/dqxw3zelUzSbt+/JMsL1q3wO07gYcxyZucCG+GY1y9JNyKHw9P0mYf7FmCy1yWsNGdygUKfQDaNcYzpiwsqdyunnFXRPK981BA+s4g8LVhqPOS32HYY4MtKXdbotSM79/+gj5im8fwd+H1ZWQru7o/Ejs4FQdfXUTGxeJoqTYsmYSrMtx1zyYlZQHAlDqbxBaq0zPEGl2jt7zvSEunaqdaQ2W1hb6Ug9IljFyMDZbaNL7wynee0G8lzSLdFdUMi/f7YxuJeutYLL3CaoMJpFNtYoeYvmK5d1qX9kc+7zWDyAaNLhHr0CIjr4TpOpmrtgENcbwoFJ8/ShfQbVOZrY3vCHh0RDwZjDrWW0rH//X+yZ+168fvySU6x66tkh5jFLShcHUEIVC3EnDjRFGeLOhVhCCd+S73LI4bYxw8dvqbQeCQpuCgBC62D97GHdwJLPlNTOmqcm88eo1Ak6pwznR7JxYblpsjHICqSMbIb89nY9KIdSgJ+b2bu7V31JP19Dmrxgm6qw2+q0bdB9WecR81YKo5ldMorWf0CoBrPmjXvLqV1zn0S46AXozrnHMI9rBqDrbe5gbcJSuJftVHFTSqF0mF2JxkZqMH0EhDrKWXONK+SSmDU9wx8yln+fqqp0UujnykKc3TZWaz2WFYxPd/s3I9teRkpaNzYX+zb9xoa96Mj94l2ue1OYlZkZznu9Tn7yD5ZxTl6sMjvwP/SHgkV8+RRoBSpoUiTPJUPXyK2cfRfPE9jyRuwIbsN15/ookOhh0F0fP7KKd9GXG+eNxBtLer4rHVor2RTu8mjPu7yeVOuaR0Hmuyg2ul2zJFnpO8dM5DG3pAJyDK/anApjO8Q+Ae37cjw8VXmK3sMFj6fV0yOgTmaDkacuw+QX2Up2QCli7Y69hQ1c1QBxiCoXcYLS+2gzKSDtmfFLlsDhbc0fN8cxjc8FSfjttIMpP7fi5KtOlVnNk2JY/KCXlpoUxT4Jg1tNKSRO6enuKwIK/81oyGuXRje5L3uQXe3XqmrS9t1o6TUeNnMzhfn7nSGHY5eRpyU56nZTiLvTJMPcS+RSNjzPO+Q+ejQtRjZ5mk+ZFAzoriY3HEsfBsn6q6vlDtVn6rZ5BNTpddFHQJj/OvMDE56fpL0dKuJe3RTBis9EajdoUw1+bqmLY7hk+/5LpoVem/UwQwr7v3ceGZLn1UVMytYj6jycPjZxAn+srYMVWvXsn+nlI1UJCK+y4uJGuXaw2H55bK3pE32eq1UpKTuZSD+3t422RVx8pqa++yLgZtvKuL724bc5sntstlabiHuQC6khCa9w+xz4gqhXcYwdZsqPX29JSLwz2ZTZ/z5YeS6oabIWjFmMcJc5EEZ+F4jWWfvOdePJmekgJJzB0Z67xiN449dqjoPvqy8GapQ47mApMzFSN+cb8SMbSW+KqotUPXxdK+/v3ffzwuGdfkP7NzHWPNPqW9/HbZvRwtKffZhNvZpg6mLDsNjdPoKNurRizbwqzttDgkXattyTfdZEi2a8/cZj2zKM4a43EgxYkVsvuSaspDttnUaPc8K+Kfr71rKGGKq+1qiSKqnAa1MVe3C3WnMMrg3cRE1/umf50ppqnBTGPyrckzKf6tsjDHy/v/oFSJVzvTKUXSv1+KDo26+FA34P6vl34P4qsl+2DfOZey2b28GEXZ8GmVJ3xSSF9LeJtO22l6PTozePFprAEuhapm3tP8toX6I0O8rxJtgnVkvWu9s7K7wx91MftPg+8FqWwQfuUnilgbRwGwB+P22zRXux4WHb1PJWwl79EJe3ri7oCn56T9GPRidn73qoSdbA/TDcOTiUrmDZqbO+vqElOBAqW2Z4sotmb3uV9Exo6kR5106hCr+Fr54KX/YKE/l5e0jkB3ciQVOvJ8N6ZPz1OqGxX/7P3bm5pBdWxx3vsP3Uup/kdXlD5kDTDpZY4V32/dz7UZkrJvsal3drUf+z436f3lckxJiPdvUMstboCpfy0rOvN8SGmCWMec4rmSMFxXizxcKgLzfF0cHfu6xOdD74cYh3ZlJloYcoC71/SaNZLiyi+sUsaUE42ZSjWVRc4T/zmfcvUAKqebEGGwpXqQbwnuQAyLFKaRqXs80fr2tLmm+4Jbm0q2MkNFPNpifTqSgBJecCHbAy6RhdcRw+nDH4Yz+v4sYh+fY+QAFQxlEPtZFC2t+Sxl4bm4lijvKt5LL0ceZK6j0U78VdVRMhdK6aTGN0PQatDI9q4rpdv/6KVhgBK+nvr0QMibGBfWXo8Jwgml9EhUXkbRjPStynxcFs0CxULjZFXqnKADhOtLHUPQaEJa+WBP7Fu+UPBghrlMnQjN0rOh7ojMV3D1OS1voY5UfpGNDS6vd3UY4qV9a0j6U1uNRa761/yEhfGCDXOfKHpPv3oSo2laFecsa3t8Secdsso6WVQ6gKYO3AyWD5nxWY3+k+Mfc8FBqe8JpXXjKVB+OBX7UbNmTqjPihlcorajbJ0gGdGzwsv1u4nttman/khsDyexy/Wxm5h1NddBjpVy7Xpnf1BwcFJw11QX010mZqwpz7GXhsfXO1dogqxpaDt8tZggMeaQZqOasbuQwbgvDAhVWBNBpNKwCHch46h+rCkS4JBwbMXoXPuy/BGmXZtEOL11+nI+jtfKhT3IYcSuGbIXr83MixJV/en6LdbtRtj3SeZxjvL6/dD0GlzINVbpM170gYHv42O5rAjgG3l2X8qsq6kIP71Vbsmp+6/IENutEy1StDsRbi0H5J7xZXc9T5vhzLn4/nm8niyTx7peANCdpsoaUGuD8WRYZpGsUW6JhyJ332RcxeckYN/sn+5724CwoanAzjkjESb61anvHwkdiBfgjo5o78qD9xtuzIzv1+179/fDr5Y3r2vhOC1fHLpczIJ7/V6LrZ++vEfj9ooaxyh/VX9xVZpdj7sKpe52YVpcYTFKCrHRUdwGt5zOvChHo6lm5exoWocV8OLdnfXO9b+CfpLuaazOtw6Ij5qdV3vpVDiGx2mdZqrzUAilBLbfoAuY7d8M5C3keOKiO8btRboJ84n/zmImdm7vpWQ66M+faBJJydW1MlZHLjzp+8xa8ee/JdoKf/KsX53lV+adErCHGzVGQXMVWVfyJQ1u4w40wri6wQKaVuwKeuT7fDpR3q8F/2LK7FbaazU0yLntrI0ULXhRd1vxNJkZVK/8jLOqN157KcvxR7rDS+H+H0uXdMniWJBb/qJtrlfJ107MYPOMf6DYw0hPJVHkua5FjO5/hNJjY4r5YWoMJr3CMRvQtSpqAJljoF9CYlk3gKKKZYVEyc5ZaR9NShz1R0AhMTPzSapELmqwMi3tmC/o3XNxj7oY/VKZ+Q76bY6PdFiMAqvUynwXKR7Rv/A+Z2EVdI+kXkOY+51TgSZKF1NyHHM/BupsT788n3vDyKVR4nJtL1oYDWd82hGr51W+Jb0/tfWE6g3q/sSWhHVF++vFnb++RzqU5BnZkwkX8l6p1Iu/WLNSyzn4AMDPoITzZPYZeFlbPPaG7LmomGkUG9afrhVy4s+gSfv58pPRGqdI3BO5Xn0Nc2cF78hMwIEyFEaUt1Dz8MhViLJrKoSgr+ZaUQnwadS4R/WmcyVxPdKfVB+rccnvXKyOLAQgreNBorSVFTgnLiZp8o4Kh8n3i2l3xjKmfXkUX/7NnHnaHUvpSl/OIEr3s6QboX1cjI3BsWrL2NBpKf/Roy4wQ67v61aw8fkFe9051GW7cdwLs6cf+uT25zWS9mGg7KhBeS/+gEdjLiZvME9PS6TNbFsPyP7oR51kbJD3bz+yJ0HL+8CZQjWV0+plNJrvKXqUHvafopwkuu/SgrDJ2FDA3OYZLpHzyfj7ISEP7W+I/0OpQR/qDGDHcMFePzDH9ujmVltp+/96MHPa6EWHj06uEzgU5/O+Tpptfs2FEPJZDtDpjb0FDoz9lsEoOYsW/FUo0DrJ2+8i2vl6ipldLW5uHsso7VhF1+6uxz201IDQ2yGGXhrnUBp3ibT9NzFXyGg06R+GW6aW9Pf2/V1zRo8nUnTQ67Jql3E0+wn52+iSbU12zfGylhDUCfK+3nscIwz2dDcQCHQmwBz8kuNQF+51TrBpGU1nc92+dT+Vq9A4zQhO02y/zb1z8W8DhW9o4vxqnNDTNflzawecivS6Ke6SoqRm0Hj9khPYX2pK96S+p58lYHdsfaWgX0XBUoArLYzVa6hJBB/pr2AJu9I0Ytt3nUjs3XwgfCrf0aBPYklynjaldKZGis3VrVgVHRGGSoUvMngm7p+JZdvigzuRpW9Hp0hhGunR90DHIYc5hrE5CB+JnBAN8RPoFGP8flhHdmpduw4idThJpmrSH9dH/O2EguK3PF02md0b20tA+ZYOLODp863+BYRA3p7Op4CCMwypRoEtI6l9fkTNSCCPiguKMWUD/1U75r+oYZ4Dtw9IGlfu/Wq7Ud9hpf/i1M3j5SXIdy3pTNiSP1emecov6n64ot8PEjwMLa/qjyuBZPjeKn6oxXjhzdtwEVoI/T5+gXqbGJyI9H0zFjYGccdEtm27dJSxraZkBtMWJTRNtp2yiKGyC/JzaiEZfRSTc6k+8IpKV69X9ov9dtqLh/l1trcp8LyluPfI4IgAChXEuX9qhVdVd6fWaW6Nau/8b/KkVTC5Sbn4stM5w3JUIZHQzksd+jl3IvICHtUV/4hv5zVc4SxG3QMqYflUW76jg1wH4veMzVtckTTnpI8801zVDMZJ8/9bLEPcgLRS0dkjaMrGqBW88GPpt2HGwnXpektmG3V40axGqJ/8bACQkOs8ERmnB29nAr8QVoFO0WcXJudINcyVXkHG2nkCRqNW0vodOoAuhXSWcIjoDNzmlm/nMMHvJniM570OkWed+62PxYOuzqVtydX/h//7/89hAw1Jym3QNbzR10Uhgqm5dAG/YQDB8oJXWn5+qO3OCM/j15/vjBVXvb1nEt0hurGl8fqw9JYlJ6vepsrhb9VkuWu3uib/SoqJ9AkV0DzWPxXHEzmJE5DVZrIz6RNGxO7KrOBZYARdW5tn3W/r6RYb5BtaEwuzYEM3PKmd92Z6Rw3v6Fyjx4ea5ouR3r5ZJdCTt1W6wXkwkvXknW6BdA0M1V/v9tmJq/3R4rm9T5AJ2T10Bx1+JpjeSPF3Y2yTq3boZf6l9H3atTWE/VItMkPYlyVWeXHtyRCiEj8Gu37y6vdK2foJQDdeixalT2aVQdB/h56jXcx0bB7lLEBmflNpm4mdHko+V4ww0wIPa/eHz+b3S6qm/NYIci+mp+QHFRoNK0J9XfOWciQtk/bqow0u0vlXjPCh3wyPTOtpG6MSfamtGcksiTx6XXMZPxs1ueLX16gehgqxvH4FqxM/SYOfH58rSVN3i0Q2113aMxSRn6dR6O8VcjRhDfJHhxhFhT3/hL5e2hiJh+QVoXh6syYG1TCOrrMtCvfGvN4dvOBQd4ntQ/nLkYSz+2ZA9lcqMkPlYOpOkjoUxN+17nEdQAcbWa85zyvbDm0MxPNF14UyJRyJhSefr9+UMl0Pqg/DbDj7NuxNLk9at0rzs3jEYyLnhR6o/Xj/Jz1SmtDj0qEpx46Vc5QQp82tFtR42d2fRqInse3lIqqdfI1n4mE02eka2p/I1tsEqE8gjjTJZOg6fnnUYjaK37DUJWdbMY/MjpxeMxw4URgcq3hFUDf31hanz62b228ZVuG62J36bktxHwp54KNQPKKsaXVVYXS2/ElN/YYf+74dPAbn/kgIeWK+l7f2+N+2L8YSQ7yZvdsKPLjvC1FvgR4j7WfWerIGhkcoiwzGJ5qigb1uN7mWftZVrdQFlz1zW3MMIOdIk6ME/L2E4VljHnGtv8zv8nznx9qhO0qi/Khls6tvJ+PUEgS9tnx+PTci5BX0d9KIoLyu6/9QlZZ7/pHecWsiJavPdPBmJOFSchPvK+7Vycj9jznHiC4Y66fyWnFuowxcTAeIaZ+dM0xb0F/tiOnlAHQBdzLxsQQsnxNkf5yHSDNH6PxIZ/H2heuKo0ncyVVsqTWm0zosuVn0vUvHnSAq+u1ccK6v2PiM0G5uN8apLVa4/Cl7koeeAr8tSIIxo0ogve1/NtKHTSezHMjldOboIPcxxDmxB1hi97slVXMFzx3errLwvNWglDYMPYyLlBNlS9nuEWnJVhU3pz0A3QK1EkFtKAhuBaS4Cz9WjB0FXQpjfYzz/Pkv808z7ZYmrKgGY3mDRtQo4nzbHCPdRs8rEI4xpdIDMIq1RNTXWfRdxOUzN67JL8LTmADk0ZPJSXEtZWeWFOlygN7CWPFLB8dgJZD42bZ6QJADmVJWsZBVZGI27+TvuaHUjaN2oB7cQVY22nyy6tsM30Y7ueqt4L/4oI0m6E9ZsudpSsj3YPv2kH8c6Wih7AAsp1vXHwl4RpASBvge68hP6NN/tW6K4PXsh9YlwZMfLB1n5t20sBaVrtPBuHA+CttFP34hoHVT09QCdeaO9IEOzoqX3t8zHNhS6Fl/vhv0mI4M8n34d4ShrAt8GOD7Yy/8Ar7EkmLLYTPgc9eVMNW3FH1lDutF5NZwTHSIBEa6eWUMdo2M8zLwQuXRizvSu39lNIYRO3HW9ozlTzrqo7xIPlpcxFIW+NuoqBnxs+QFEp4zzxl/gX4lX+Xawy3NF7mClIqTBM9dC0nDJg8P4+uOdnCRVLGeV+qzbIuunCulotG8qblBvd1csMWXl5ieV6brSphFsnPigGEhCkn1D+0jvp4sqr1yk5P96b1P3BhXTIb41wOxTh+R97ry7p8AT0/KXnuguNlKTF6+Yli8xqWmw+nxxoNTwqvvINPMuHEeUQRP0I0jF60OJ+AFDPR19i4RZb9xi0XlgkYQn3dc/gLzmrUfRAwsh2QtSY80f6ozy3jOcPJKPFvMwfMTpA3FgCcbjHtRlb+LQvFN5mJcfUrWvMBuD+kzuTKkRIRXHbZEe49GRie4QLEbAE5Juz+IqTss+ygDJcJYUgR9kUDVM6oo4jx0bPngpZewSsdOaj8C3D7p3GbD+5yznxSSQozhFeRXF6ns07MoNPLKJVSmAUuIdp5cNMcgXslOfuMexnwXrGp4WpZXGJNj2vHUTZ+xUZh6SrCXLKVBdK2Hz9+4A6roOvRvRD08B9c0IQ2hyEASdh3uSznvsJHjORIgZiKoQQckT9d9lUNiA3cgvGICeew5/ad3UpPfKj8XF8fiN2jb1l6vgH13Li2O759o9iU5TALuB9M9ULw4z9qXU9pnt9svO+rMZ3lvFK6JbiaVslbPle1IDR3mNrrpaSkSrsCh1/3YcUWP7OYvwz3b19r844rhLD8dmx9rLBT0lKer3oFEZC5/DTT5yrB25GU/Km7+N0rFULMKJM3b+T3bFSXuN36hmO1n/SJI6EulXAV4YBF/n7utwG65pN4bC3wIu0ju6Q1sra5//xndjn1k176HrkPVIqhZeijqSQkMk6srZcnQjdE6Ex/RJTrad8N5wf6m0OxslPT5l6ayF6/qGhyQZMcT1MturGlTlFKV0bbzszOA4jgvsJQ+Ga5fFVH3641YQZFj8lzpd6Y3ZqFZ3pGFMOnlep7cm+YOvhnnoirnkmh4x/ILP1M0lo/k8EdGGXPQtpXApaddBVXvQMuhvDNHe0tKifZASFukpLCAxH4UMBZ1nPNNQLG/jF6kiqI3WD2iCuG/qPjkhxZJ6iI95LnM6nvQgunqieOso1ujrTPX33fNxJH+rVca9Xe5KeXbyt1QMHTprf2vVL1hqpbKyeZm3zO6UTGVh5E4mUOGmVjX0etNTmP34mfyBXv8wavq38pI0YP++bHvXoRjfzWQcsWlZtAREfyjceVs7isk5PrfO43XIJOWzYtUJ1sdUmOwaXuGZ67j9lMdpYyCzIAluzSEXZV32Wna8kkPve5qpHZ3SbaRNp3QyvcUV4U0QTVsL2Qr/XuvsvvntGTaLDwrDZoWNWYeBBUBTOFo6fAW8NBLha6j5C/UeLvLCGQx66D7n1iBDSWIubuYARY7EVIj18JsNQB3scrbXfKYB3kwdlTJ2qsaroFltqY0eK/jWWmv4IdeUjT2GofnCaK7fi6IA1Pg0VrHclaTX25jRllYeBUjwJ/28rFzutIux2O/cuK26qZPs6bg8HAReTpDdbpOUvVblxZZ8PGtlE3+0IvPtqs9k1df3oVrmU/TXdMQc9+VLY/+HAK1r2vV6iswSlosjIaydh1VPVp3VJYWb5dit4aVbaVTwaYFtnc1uDHSWrwzM5WrpWe/2l+vhDMPXzbM+urIt/IXVpaZH2Vr+BZC5ALVUqtqwy69DdPG0XzYIAOLWKVcjkbvZ4jzzAUDheWK+mJw0wEtKFb9q4adxCLpZnv6qTss+YWA4r+eoUL5ffy5b1STOTl388bAwQ7PIWeXuqLSPLLHoGipiC2IL3nK+E2joCWHNjQSelrgC8Cebz7q38WoB2NpyIOocqbFma2Pcvni6Wf1vPyEbRp1gIHFRmocf8zFKOlrnHyZrXztHMpdUqdhthE3hpdbO0omgJLF7untPPfj1X8VV1Oy8VcYTK5it5u3qfVL2XQYlVx1RqpnAvP7D6NlHVeqCXuYOonKMdz8Vyp4c/6uxbEwR6Xma97QuJsLRA6M3jlJq7B8a9jveqvmpNxewdgRM9mz7O92E7tR0vfj8O1p4dbLS73ZGKuxkPzE4R9qnXEvUuf5bKvAuXyiIpm13nabVKPk76QRviZTkVK2ujxd2F71noYyWDW4J1GQaveVF9rUP1++iQ5AjSRKXXViP4Otq4UbqpwGUvCib7YH7neda2s+dyeaPw8c5GKhZhNd+NPJHkXTnLY2NbxFvQIsZkKTReHWNCTohlyF5gGTXs38HpLmKbLREHJsxtwH1/0UyfZnmawtxGwnAdE/ugUGlFeL40e/VJOVvBc2hTeRteQnQFj7TJoM9EiU/e3AaVdHkSBh8M4T/572iu966roXpWkboJPRvFbszor3d3LNIp9omjLfkvhAPZbOVzlW8bFG88M5F18Ah+KuHZF+L6McHLkeKbaWIwf/NL4NqQ1qOdyabYTOkv47xRslSC99V5ph5EXEdt1+Q1fkRX2htXGVIrs5g/iZPvyIBuOWYvYM9PmOS82Yg/85ZJfe1B2PJnfKpnLdO5cr3W9BZ++HsakhFb7baPDVGwrkbuJbCBr/KTeCJFHfh7hyw6VBoTKjH7+s370lC+XOhrK8ZPlcVvuRWgx+t7avZI0KSsnJ5lpHWi5m7ki/+xe28djQZw7GJaWL/SdsItpvTy0fnrDaaR/ed3EnkdV6ny/eh55xo8zDHirmXH8OzM/btTBOtty8pbbYnH70/25blK/AlAnCfvGmOaULA2NVfDCTbdN2vxQkoKWDe4+IznV/EsZPcOEMCMrtvRQRzX1cTawOgWx8jxHzg2DLiC9Uwd6H8fWc+sOxn/MtxTmZnd2/IkFD7FQFBLctgnmBQ0XEDWJTMuF7DfWpPPaH6WWrwSizepJrSBVRlWt+03jj4/3gN2KAJDCqlGVkg46YWeP2yF4LNVrXPckWfHDMNL2Rrdk7QauGjswqF69/lx0i9XRTOcWdH6ervryWO3gOozFbQ0Vk2UlLxG7DeIZP9O8oZOTNsOVOpSUV4R3dVwPnA2wAMA/RxkdCdsCUa5dyaouJh2IasGhlJ52C3dJ1r41mGBEqh14CYK6SM/vHu9CCLonrpLQ+n7kRrktjcCBzxRAbQa2lxd71np3KZVy1YbTzWaFQywnCvcBQd4f83WDvQWYiGpBQ8NPqKcNR/ti6cE5PWoT1lvqe+nd9/TuYeTc83ZfKqAKluZLvB4/DAtxRyxR8TctI1srOzSAc4TvurKDWk2bp09hDvnBSCxxqkNur6w8M/ap0S61/40buSO6qxUFtE+j7VVlZvDWTVEWoieXfa4Sqt8KRcE/DUPM+X1T6H18kwdFpAD2XH6iKV+nIyusQKHPNJUNfp0vvYOPVZtKNXJT0Zyzb4nDab++L4Q+ztatjZt2Y9P99r/SZt9sRi9F75Wtf8GpoyyHk6PvELkiMR/UnuhlVJZ7/iiTeUgm9s7u5OeztG+j46SOasSW6KPeGE0T/Y7r95NYrzBW0MvXpUAULfw5qKZXzxzC5dz7Ln4ynrZDDOfy3HXpGoKq4YpG+CQqOibatRGV1tS66SZg/BzpAPFZXXMirLzvE4PPUlUiZS2PIo6z42GBLzW5+59IUQf6GTyV4PCUYwl0NUbzjHv7NoSIDk9CX9jqJNNzpZW5AWgIcoyn+7/H7dV869VVHlR/9XIsa3vd/5S/IGfz+sfKYHxzVrGDcGPCqEMjzTfR3NTNInmV+PFTJWTjsoxYiPfI5ZK1c9xUIml+IQS0o3ij1w0PHX7Q+idTkyZacXNhH+zdmoj/+Eyey7J5paxe2vFSHjIaOaDzs465Jkt5yOOVtf5s4tw3l3cVjTUzR3P2SChOf55qE3dTYH+Ntk1wNj7+Ovvm3nFgSXTjC2h80FMGowIaixUVW5afwBqxTefMdeQXdSBLUMuCjOZphPpqWYT2nLX+bLf0XRobLX9A5aTJdGlQ1htrxGrJLI6fPlLTkEae9+V1t6+PovoECinhxTkiyljP2y0DpYNvHC7Su66LKvp6CmGOxDt3y3Kn9P6Dzs4IUQ4o+Q6ixZc4soKkJ/v0j1qeSIcKCau6HWLaINlUQx8PjQZDEUOH0i70eCmGkRUX7Pz1kJPZk8+i4sf0geVNKKBK9I1PajdoQ36oFpX3tUa1gQrWtj+6ry12r335FGou1nW41zpz46e100ivE/spsThuAPaXCOhCxD/TLNYk2EnL2XN+iJcuZR5ptn7ZJWfkenP5i/CKNF1S32JN28+aE2B4Frv85vyStPcz/FfmfXxWybAm7lVyUiKWjehpQuf/x0dZfxiTaZTEqj8huXWbYukQ+g+daw/lJsnARPjiWlsxL+oXVaT21avEG1W6K0we+BaEEVldM1K46uj4qU5/JfEjvWWMCB09fRLtoHaJTorImqftOOHL0y0Y8pHkIIorTb9RpigUqLlypb+HbhdPH4RTiYfF7iabPe68CwgnR3rqZta2i2DFrQ3r/3j63dagb5quZIXWMETjAROPrLzpxRWVQDo8BiNgO2ufhzQXpL3TYtT06JC6mh1cx5x8marogoPQX/Mb5NIgFEg2MXtDrPVHEW3DIMc9fc5XQpaH5h9j7lb+Tu0eUoe5qJIDD3j61t3o22Ve6p05k52ZO4BcNc/zop1Jy/vWj96PJsGdCONWGgNOsqulVrJcBWKhjspXjb5g4Dc10Z2C9nQG8c+WVDeD0sqMmowtG20AEGQzys42DMb26qGi8CPHXms9zVZHR+SOhZUrB3vBCAMVdPsoOnJ31dphDRaVBKZyTyKtflOL9uhPWqX2eprzIB5zFfkfV8F/Z1YrbgOMKi85ZECxIiu6Iz2u3P44c0ruwmXLbx+ko1ynBcaO3zltndqv3xBS3O7gaXwHpnRZw03zp+RiSQjwVdqfrZC6pkOS/Jz2iTvJKomSHTmQK4GwYSf+EYRF7JXowLb7AJ2pv+DJx9ihKbSZ8rW9tOtGKxPQfcHhOYHeNcUQ8gD1hmK1ygWu/VXsrF7v8riwgFojjICf+JlcGfbVMwhEyVhfBc+H3Nq4cSH+cTsnP8DwyoLn40K6dsCQL822ewiPGpQLrcpGaIzfQ734KPbTUo1EyvsuA9MKRLPLkuhYpolmtpsPIi37GzYuHvPX8AgLL5zySX3KEFnbGvgYEI642vRY9vrxXmXqF31FjCy9+Zxb/EhNyU1RZGg/CPmI4rtecz2G7ctC7gREm/ERQDWIo9XcOaO2CeJcZxxOIow88zDmMnh0MuJWAv5U/30d5RUCLGBuW3/ZtTFpVjVAKwLqHE7PZCPuaJkb4Wx+AW7reGQejpqtIlmPNXAAqMeeAUwNPsYlJPrIZ/OU3lGqc7ybytl5MUfYPE3kjjNtnnielsocPHSR5gxRWLX5eJoNfamNYOUtie5WQip6UdmSkTd+OvFQJkAPAY9O3reym41lNRBLG1FPokEAw5/Wx/i1a0TTAfRS2fRNV0gUZnrW+24pSN/pO8F0WLtXDjebXbsdmD+S1dLs25ItbTD1A3CsX7rko8d5nkSMACMl12jKdPZpCTp4P3FWHsmIJXmP4/ihudUGkbt1Y4/GwGC9F07TInbz6uTvgA4iZqNvwxxVeY9+Y5ibLAXdUCDO09VLIR2pndmSx+co3heU9BJY9NRHB+6s2Fd+pYlKC0c9HiLkXJW4ZTU5HMRht0kJvpp5ZkFBrplLA6J1Ey+bvK2wJXD/rL5pIp3Mm2E/dBiCPTx3oknrJ2x50NeSJqxXdisvC+JHSV6OYb5bFTl6PxLiaZfwyX2G08+1S9jATcZHUu0aEpd7G+AspYmlDumWZyt0K+8iCKB09KBvFjtx+yWswkFSZ71stai1yHBT2+1YlYI/1ucOIX/+VSslRjL8JK7o3OUyIbtLwXQqaaRgFDhOWKWxDu5N/qD1HeQe6Y4lu2lR70daeGoqyt1uCRGkuzofgxCW0sUThRdN49vTRq0UjeezctPND1aP3TRYJwF1ygjNg641x99FX/5cJ9zHbeaWAdKtgj54sNGhzknnVyffZEGVF1P/R0OfzfbDBNyd8ugdcAiQLYQ+8tO8SfUghiJuS0m6EOW7hUh+q7CiCGFBrg9TMNTdooTfPessVYBilrkQoryvjIRjYuOz32TqeLQzzjwvtNJNge5Nx4GcOd37/ibDR2kY5Nt3MK8uws34/OXWMNPWNAhvm22oU6Uzawp3uVvKfsQAS/zNJuj6RLI1mh/wL3KXe+XT/qMu0+p4sxbuerbdPyAYhXg/+DSCu9rcS+ku+XLtbp9HR9QZTv+hfmID+KXX6mprdFA+24wmCTVDAOsryd8p1roGGhDu46gaHg8gcawH8Rb3iEPHRncKqmaHBk8OY3YXImh2mvIBVx/wSRbFexl77ZfEsi9vcqjI+x3bPFVR735VnoRgh3u/DB/zOzc7BpnpXURo+Z7PZrvR+VIqv74tBRcH7dRcOLHn05GX0vMcYX780R2o2dVNwM7fH+AOz4LqaSBNdvNus0KQ0ybC7dsfKw1IhqY1hi863o+guIGyTIJoq0vPvw478yHJddW5ML8wRoRZJik1kGZbimYlesvE6R7Tsx8+IoGj4lT9PWKwNWXGqDHKlhI+5UvaIUbtsnbhGplWtE1SB173ac6tGVvstuecw5UbPTczkxo72Z7FRX5LCtGWnHLIhNvOK/tYOmAK3UjOI/FJt6NBxtOlYz62srdhgRvnTqPakn8a/q0T/Xj0TPeEUm0VWvfgrB+aR0Sh7cxC3ThMcU80DL3sKY6BMdOJyZKy7i0cD9u9rfoLqhyd56m0WHcswQvZDDgw+qhvTF1ja54OjdAiAoRZAU9m35Xezc7b6otveCN89Ku7NBjc2loCgBOLkRm3USKFDaaWxz3djEeXO0ZtRxb2ast1FWNaktZ5mOD8OmzwAu0PtRGHbHyubFNu7cg8CNW00o5X658J0QHakXQ/mkcaMszzzLQ0T85ERX89XSMPaFetvUYc83fZDKOCGCJvoUkBG/FrUNrDg7D0yyvlZbaTbjBUoc+YKCgodS0ivivyMwGxpsD08hgv7GqMtiTS0GFZeVXuNPxbE0s3B3UJSMeKgX73+I1eTbOgrANa7faCOgmyvOdNLVxIcyF8PlAUV4qLlEGuHoiuj1AkiJccbWz6LsVXepnBqWMFYJC5Eq7iM5+ZBlWKj8iVmH5MKWO3dxEbVetHevSklg9mzHvuU8jTqeDSwyhPbqkck9K6tVi8KYaH94ONLHK99DqGwtv0cKik2QFmNcLJi+dy52rQ01MqliucOYOM9oyPILXRAXcchBgltRCjwGJn1F/P0DqrWfiLLn39lwILMUDajmqkA0N9eD57MbUL/nmVxFQPK7VMtWBDlVe7ILeH26Cnzd50PE4l4HgMKhrVx1A3fNHebOdfL5z6+AjLm22ONMlMOQhq9GVWDYWYcpM0lKllgqf1Vehb2jpnIgr/81d1p0i4UjF0Pllt2/V+jhrnec/osRoQwM/j+QRMe8QbT2N/Dg8LdeKiS5w3uztJnm2BmgzUi/P0/u6LFOihW241ye9kZoT7b+kIX2dFwfRr6KgmYrub8TzOaKyXbsCiU16lnBUmPlsZGSMphX3zbvw6+ja2inOuU4RHg4BSH/4u1GZ6RS3zO+XoQoL+t7Kajj14XcHSAIB5+o9oYotwkFOiOHJHGO4uIz+UNJSW1d1CPBOzLJZXqgO3ZVG1cZ5nMiqZoLY1xBjiWcrunQzBSvDolGEM7bp8s2Ef7Nmy4EtbvvgYRF1M6P8Fq5KIabu08esrucCE5TcvysFDaTugSXD381D5EBrLKki+92uAcloSoH8itLfSMoscoNMWEOQ7Mrb/ANXVQj321Q/7L8Tf17smQpoUuBuuiOEbuJ/2VhQFh4H7q0MCGOft4O3142NkFZHttzhV8a7r2JOOf+OF12hOg3j+kIRLbUIK6iZbaKONfWybWvfpCITiarRBjy6494R/I4Xd0X0GmzfSQolyNgm90ymu74mUHM92RkDz1mi1x1Kjre+cbwyL+FfgguPaSo/3ZpEgj+8QKJo/dgXa142xaQhMGBHr/MvlseNEr8wEFiyqmbe9+jO5odsMmSIz5yjemNspbPukZcCtd+1xUxV9fRucgP7ZteIJfu+xb02CLPfmX6GaiOnGAmTl7XNvlJv2dnCTpln5BsfjxKgAvEdu2LsamOujGmpZru9JRkL6ndllXe1mP84nvIhpOTmrMMn6PQ2m7ty+0nEW2e1/KRWTr+w9iZ4ehmyC3a2lroN3sC5t/QgKkeFXKsk7gTeAEo8/2UxQjagPRp50m0d2ylK3bhTsAnm8sWFaRLcmabY2Ey88GoE14qvpnOjBpjJHP3Nerzq5uEqhiiCbch2QAW9tDgq3o6m0R9lTZGLN+vysDtWqPb6rQDVPj6xqG1P70FO+9IIjnVsrrH+QdjZvP3IYtttPHDtDoBo9BXpviRdObyPp9Ccjo1UKOtom8J23Ey3AIhRFnjilpwYpsvhPYC9kPy0pGa7PcScddoG3Hj1lp9V3Glk7q/u0FyVC17VXvsWOUlGH/rIEFcUpstLrWu8iNVATb8qa/lI3l7K7sXKjCYHAkzeL++BXa6GboeD4h3xxWcn8BZhytX37e7sppZpTrSrllusm+wbFxpuuOc/NjT3Q8DBAvhKSVhRv7QlP6m62vKxO6uu3PJMCfQoTs9Xx+x6+B92AjZXJncgbqtyLA2BhzjqJgKRISawG1UDZ0rTu7QogenPe4v2uLwaa29OvSrQefV+is9eH1ANFXHL8kyNJMfrDu+RsxFK073Aho07CM3BQxf6VNeSWObGgvmQCfrum+Fe9NA/Rw0IvednSSyW+utIUvrPVaZhVq1SnbFHvzxLUfqKM3qpk9SZvlNfXOOt8c1TmgtPPQ7nTO+Os35bdOEhtZvYhOosJK15LVN52Ui7PxRcej1azR6v1UpW1eSuooqJS2dKvmRb5iIESh38cJymmkdb3UDnS53gDqmkUfhu69/3ezQCbO9vDeeD/ukUCsIYRzQ4lLnPpakzvK221Vie3MItQqEP2CE83UsLSjo94cmPvTfj7GrKSd511Vntrnj8xFcf8Vd7LX/DrlzlQuo/bqSjoLDLlCY2ejKBw2sIxaxcIOZZ2ugQgbZ6N9shyE3Hcy5GjVZSLwKYq3D/Hh8vDajgbxOT6UvVI+SW2QETfh12t5R9dw6R/o9xe7gfEjl/aJVLyy89+n5MhVGpBvp+720em+93Uj88liXiJr6506Bj/7HUudKw/LQ47DBDt7mb3cn/lSIffm1vxQBuBL8uE/z//+7/v5mEWsraSVrSqQ6oz3s2DSrhfQkwYcT/JdNP1RJ9MaySI3R/9+ShnMhovPR+ezdDKZB69mJSqZM5gnLSbYyzscUo5G6NBcRY1yU6ma7GeI/dy4jjxE97UKatPWqEdUhPV+DYTFZu1OGwyudGdGVa7IO71k73LmJYawDEWwjdf5QEE0Zrq2k6iBFCQV+cPCluQXIPT9ep1sX6foZaGbPb6k5TTgBrw9vAS7sv2N+lS3vcg4OB+BgMdYiPUZmL9RHuyPyIT+IUF4StVyltlPkTTFxknUZ6zaPKlAp6BnY3wrydm2Xnf9hKlq5L1Z/L06AixfjESfOm6co2PsZ8p6/Fs3kc1EVQG5ey/N9yP87vqoUUAkHNFip7OXdUeVfNuwI57nIOlnYz93sAi7bwwEYmVot6ivz/tSLlQm81EI+dlYdep9h+6PA0/pR10wI4aHgfwFqKHDSxFM3rjH8Mh+69U2SbqlQZL7P49SIuN5qFhuSdp4t9S3lHu+VQ3+frjyD1a+3dfQTQMEc2q6z4uwm5eBoQA8EFtOva+pUuzmmoWqNLZkLLbOmqI9SMM4KutT2OdVnmMU8NTc+SeUVB1iCd6PNrdAQHtVwuooNzfGFAfcUtvYva1Iloa0v7J9T85QmnDtGr2FvM0aebeV4sZ9wa210WtgZWCtZ7JpoIxXPuJdcWIVvZdPYhBWldk3eGBopGxF7DQWqcoimNWprbJRDxKRuJ89C23Wf3xHxtCFa9WORyzizvohtmq45V7cIFyIX/4OhuFQXQs3tbiOZd8af6yzKGqJjncUPsdSN8d1c5NLL3qTohqTlrF0Qv3oCC3n+jlW0JBBb48d+1bHpZV6MPXM/mVvnzMD+AlRwdAcZThJU5rKhOA5BLgZDL6TMctrkQOEgN3Txlf3kNN4fNHL+Avv4y5vZ/W5iAp6U15Q5yd1PLOfkpLUYaMR/v7Pj/6zeMf52fm8f740WC488Y7eoKbpV2ae/C3zNc33FVe/fCb7N13Y8LyvrLze8TRNo5nd1AHwxjNN+W5xQ2N3mkNSk7cq8/ybn5G+ys9OSaykY6KQdnVFATwULbFQF/Vz+rXaXMd3EHWTyvPCKw60pQg7ZB3ky21MnK7NxYn/lObK2qpVerhfoS/ShKsfLVb3vGzo+5/qAZmLvrlTmhPtqwnZw7wT5jMmb7M+H3bIP7CEbW6qN/8VJgxDXfKI/3+icate3Nfrtpc9dTzzFdA3qYuTPgHZC9U3i2H5SX44xI7rJmcWRdwjZNuU/NepqSrJtEOfG3r/R6mLm5TOlkswj6VbJPl1zSY6czK5MfPjH6S//P/sD1zXc0rwvtd6rPeiPqxqNvprQ/h9JTcE93o/iqtanveXejnOL8v6VeHzLm7BjG8o2etb6tMs9XVf3pGXWJBSJ8HtERVkdevbvLtbb+xgLjn/SY0ImQjJGk6Rxn42kZoiFj+wOmFtoWUdjuZSXaYKzaehIrP+qDxoHWc1v+Tr1LirSOKo9o8atDdcdam3jxd5lgFUG+HHsvTBXVMP/gIwXZbuJUvKWI3L2INnnGUDCpsXR5qDUF0JZer9FavleO8JPWukRzTkj1017Gr+6ATkSbrKGQbD1rsLMYR/vdA6315rg7rPEQgh7wyjTWfZFQPNvvE6sYxK1C2L8QVgbAvvuTUy9HtfZthprtagRb1pD4wsZfW3SmtRLd0HuZ8m/l+5NQaNLZo2OCt5zMzJjhwQWkCZE3jA1xTBpX89liZ7RbqPmyhgqC88GvPU/I+69GMH1UB1v+Vgyb73tlpbT5mNF/ZPNwIgeRTZA3lc1UlNe9id6crrM6tfeLq57QPbFen02rxnyLhA8U9MlJfx7FQrbanW3eUK7P6L2GMSw7Wyv6vATNhnXbOG4m/c5V6kYk+FU6xzb6gLE7Me39tvsoAWS0fZWs10YrxSBrYhjIhuDhRAymW3u/2xbq8AuO2X1vgKis4CUXPjfkArB9XDm+m0bXvm6e92C4VhDpjZTSMdq4Eyhc+tBljFxIoq6DlyfFsJfMKpEf5959Zbe1d3V6d53wBqrCClVHofphIuq+/VkRJ0J+7fNO9n/PFRIQzxDi4LYoGvltzCPVP+wVu/Edex/mPjrgqunFfmKXbzdlJAL4KBI7HY3x730PD33wjaweLXo6WuGjoqEOk0IBdBgeB40zHMPs/JQJONvRlMKYjWupcryutE0uoNp64oZdoOA+HogNiWxbEtjXtfk+G2bqNbL1VGOTvsUEeuxkr3ttCdaiJCUffUeH/44gQt1eCRWs/szVzYSIsikuhP33Ngv5rztP1p6lPv+G8cBA9/nF1eWZMZmI9NzgGN0cCF9zrC9WV/Jbfe3ROOT13kWh4V/9iFIyMmwri0R3WgYzbBI86Wob24OJur+ftK3QPqFBqGuqRryjIdYxiECfkkfTOEQ99BNeS4/y7Lp9wsrJHr3dvSPLgtWqyyAGdigEI+qzvbaVq6aKdniMNnLY55+PZMVtBg1m4TpqdrzNwMcP9XO3M+4k3DCHaR94QRpSyTa2lR06e5V5RwUin1yyATpOA/pkhd0scAWl616Jvf+k9xC9mfGRfj9p0SPoj7dSRnR7+dGO9lH+slHXVLME28SrLrFyYUPfoBn5jiOi5GW+GurhE+8FRqUPXknVNi3btHT2YhfEpR/RdXPAiZZ9ITvwbGGz/F14rVBKrL8F+HZmGim1J5WyYRb+P48sJlEGvK6lD0PT4sDpzOBOvfqyrLyPtah4XHdFcJKJ7+Ed5XD9+sGkTbJruOf1kFFljZGfMwNGtsUxn48q7LqbnB5FKK07I5nPo0EWyZiBb4t/WT0Sfad/3hT58ab99zXL/QanS+w/jVLtNOXuTh8DgHizN6OFflFi7GRL35EfVb2nwFnMjb+Ul50A0flp4/wC/uFzzRTK7o3wy/aTTvl5FqOiGDSWo3alY3BWLCMqFQdl8rYpesHqFKi08stIDtaa5Ab1jXuEneCeqwJFqXO65YtzIuqXGU+Neu4azWzYiTp42f7xNU6x2YrT8DBC6EJsH6z2MmpX3kKK/ptqFqKxefUrfN3Lefu18tacEXfNN0bgtkYoxHpaiFEnVaMlVWoy+1VuS5pUF+HOLltd6+fPfrpAI0d56t++I6hOdDRC/cCN5i8SzPYFk82ZcY+jwWQGAiWcwqYHt9/U7dVVTr2wfxZ7vtSS/AHF06ncAG4277qoJJqvo9QYvFN9zJDL18SrqMZ5iPZH8R6PJOx0bR51Cnui5K4tK+zApFCOCeloI7g3/cwzPk3SMMobnXUnKzVH+8SgusbdRWGBM/VbfuS74gXb+NKrNhmHvvYta09bWqy3tgn90yy8XSl6UawJAopkk3dvdQlSWH6/kYb+B8FXtz+il4C24NWD1/ryetkom+jg0RBpwUmyN3Mv6+bovTXuO7X1VheK9dOpg2eUR9Fdwt3ZL6JYO6CZ/KI2a9EkDcyM54fVuoVoTc5ZSmuI84+5EJufGlqkBL5zRbDuzNA/tr9Bo732Zneq8IdmBFOkwFslXPNMW1XrW+3yQ//rwDSKxk/eK21MhrpoW3is/4U0pLfTQ1c7L5TpNIDXNXClHe2aSYUVzc4GZGirWuHQIAsnOrSBcPzQHuDZPVa8niL0ORt+ahimGRCU/eeqhl12ukUPVukwlnqZo7sMk/WD6mulD5ejvKa2yg0Ef2YM5MVq0D6PAOlF25hdc4LfSw902FG6KF2vsVpYFnQ2Hqj9WSzyPmK5zk2fQdc764XgNWpIJWv9cjfia1sCN9dHN5YewGKoE72hhPUQX03VxEbr3vD4W+c3bDMQAqE7PxZ9gy9D21jNO0c0fqAOzX5HVcq8nTcoNde+dPXRTzEN5y0YXbNBJq6sJdAOdHuZpLyE2vhSkJVP9m4b92gDog38n8ec+XHm/9U8LOo+v0UZiHU7E5wJFduIT1u1xrOkXIZR5rKy4tHBo4WPamdmYIZoS5kXFRJvXhNWbTq6gyp6udSZa5C9dFjf2ydWZ+GJWyVvqZ6/nqBpsSEpLHCAVEt35/DXBhltffStvv+PfFbM+ahToRp8aVRLsNo1mT6xfSpWeUdl7B+ApC5t3mvLh7efO10idmG4ToWmBY/B2xnYrUTM/Soq7UoE0BnYFsWwbZKCzrtqpYp32Yg1Rb+Cs1lScCSJ+9eTXCF5OA69gXGNHZDthbdlYZYwSd+F7sQj/CohISIxLQKFFLhP03a/959y5mZYH/udWykDxv/UygeYR40dQZSKhT+yM6oBFUuX3jT3/GOba/Oq+f573VWSZ+JkvDWga89qF+8zY+ZAU0MxewoqF/ODQir88m8bmwxZ7SxfXSYnEJ/dvPc7r911uzDBopKvTlAXqPRD1qw6zp6XNQRbSbD+9dD0+FD9XGOahdCB9+hJo8JBvg3Nsb3FIaUZ8nBqzdYyZkIHRO4SNuInnOPIuxZWnDco2QUfv+HPz8KVyuQKrsFtP8/Tf3htqvwYujMHjMmlWXvun6wf82sYdIU/q3lEofJUvhD3/8GkDJWABwAit0m0Iu+HcKMasgtM9ziB2GQ4dSWLrP3OIhCfnqz6LCvbYmioK6hyT0jDJXfKe/PprCZRPKy7FmB8L/J7H6MXW45opiFMbGway6I2EOT9Sm4knPG8AeP9shxs2ew3Pi+fUbnZH6BHgSlF+atkASvN1lWYO8lidCKYmHPsjZ3x9hoNFDacSbR0h7rQ7CXDUGmMJgTeeegoU4jQF2blw8Looeq7IlIP1DFtq2rS8+HvIGkqVqSX7aMFUDJmrOY2vEwzuyZKIbvJFregwF/D5aiX17/a9qfDyoIU+VrqFNY3e2r0+XqSuTEVK6WuiHwDt6AazDIP4zkLXzt899tzSozo/JKt6ePHNbaHXDyzD6HkKPt5psjK1d9niehINVeVGTBzU2eobafcBswwDp31aw9mE72lP3olbQEzocKHAOog97gxXh5R6oMCZ3CEQIxUNASHJ1s6m6J9VNkwsWdpuRKGX0QRdg4C+qoCUvvI5bcnpL9Mt9CKmnJ2N5T2Bra98VSyc7Ggjz5TGzG0qfJPf6G0UelGaD0Un9mrsS66wqIV856I7TN778F3t0iJzMKakEcdD7+bxIttKmC081Wuys+u3dVwfU6dHnUVGbKILd6It2HgHDkZYRd8YUz/U5iFjzcehG/W8v94lob4sN1hdwrDXSsmhC5Qf8mpkL1zVR636VScyXVzp9myaggPxlbv4/SCQ8tOAmpY/i2/LHXFNNBjr5fyQHV1foB1FFh69WvlXe/3S2b9M5HykvjtVotd//v15Oi5ptFGGo5Mcf8uOIrawSJmu9ynrD47/Mw3Md7xTGWcEaguzY7DQF+/+Sq4DKsAGrsFYmheTE0oL0Rx4r5zS/a2XxnXQ0Gkz+V3+WowVpAAdpR8/RBlyQeVvc+LjCNmO8kYze7Wvy7cDf3VGYIFcVjOZNt3tiM7jlSpVl1I3hF4YooSvK2AxODbJlHa+0N6ONefeVUOgV2OyNAdTTn71ys5SNaWW+uiJrxkl26wMzUTfo5lFUU5UPkpPmCzNnE/IZzGGM9RspvJYtZjIqd46ZpEGXNufe/l8kTZnJXnvl/+7IMImPlODtYfJIQj9jem8EiUsIQTCsoCH4viZ8pzuiwzBbLY6077Qr0NXwJHEpbCmx7YJV8UFGy/LaswgUE+7ZCt6rRyBm9Hz+kIVYeFXM6udR8+PmeFBAKnzZImrJuq1bos6pVChjXVvEVXJHFWt6xZxvLnPhEUKNDMxLKlJpdTebsdr0YFEyebxh1HgD9T+xZ5H2k7mdiKP/gQ0ytNuaKlwISHii9LCbWRBUHMfeo81CCcMV984yrWZYCMn0k/29ypu9a6UPLLfbuhxEwkdSmmd3U8BmPp/RbcsAYfeL6JrtU/q+8CJ47fsbK4QO//9a2TG53xxrBZvhRhvZi5G45Mfj9CWuUrJm6fkV4b7yTegQRzFj2TrYSYD9NB1cnzuvw+wnEYSIi0Rnc42glqChEZmsfOlUgbZffC9IIFnB02bspMw2Iih58DV0pnaj2xPbP8Anz7TQtaRy62cdeGi0pgnOUt/PnJqqtc7gL2CmqiNZXo14i7BqPbfW0vitLX/3hZWuwCY5SsCVudAwGBcq0jolw533gJdMF4bq06P9Uhn6MVHrAHI9N9u2S1CdqUYZzMu0DuGPJ81rjs+zeeIFIantvAOmNi/BXZ7BiSFEs1Mpmn8CLd3fhyewrrvbKqbZhKnUTFqBEagN5b2BlqIHb7yIy03j8+2xH4WSdq8tJXLplyclcUOhwIoFg3sez+BS6TyQMRICK8kY2w77IRqYDGNUrp5K8quXxfcgPCZ7gZFRJO8tSGxgg8Mb+JYwvRzRNrNY8+PNd3JBojH2ancyzfecz/STmZxDSNnVrUmWTNn3U5Qw4hqJOqlu3GYdcOkeF+lRxJcuwL2971b/24OD7wTcyBiFFUfu5LNza7Fn6ztqca/XwN8O5Ly0hHjINhCqt3WCSzVIB/CTLHgPPe+45wAd4GKr87vBvM1Sa9xJs/tDMjUIrMt48TqarkpRikcH1WLzE8gu7YZThbNqViUltDpVauyUEbGPLNfQivzNsdpUWUthq86eWAJ8SIJr172eOZtTjJOalsliMh5e9lj9KflgxMSXNNxNNZdBPQDYH5dHHrSvWIqlRRI8+UAQHV0RoDYSLluaU60oJ2gL2MikitQq45pFYDL9Z9XnAQ1xqEebZoU6z1YxFxVYLVwt8EmbNTQR+HNSA0K34wY+1p2oldvphsk2w/bV/qVPZprdaqNEKvbJyHAxnlpOHA7NH5104NMKo/tqj8AVn7i+RmhkwMss2Mq0kOPoGRsR+40esDA9Fyhbm8Uof9Ngtm0VQPSzkHOfDlJYd/d4xkNZMEAPIlM79wIC2lnq8hzlNNn5SRx8BXw00xAPrlc64u4fwFPq2mjgOv1uEvNMlcJ92sGn2G8BuRIbxPJ3mQ2NKzzlF7/ukf8uMEg/59aouP0XPm87SRYzxC0QfMgcxjxj4XIPpceP67Dfw91KRKdhfWI+UQNUdOwyotBkOBhN/NVZ1TBPn6TiT/GvpqJ58m7zSOvTQRjHuTh/fPh9/hVzcwco0GlMer65V578ukV10jQvgG8hroi+Xj9M5lJvLeAs6m5jUTnDeZaVw32v6AwkTXSc8GJOUgYv2M6ry4M3SoASFsrk4u07aKUIJzdC3/21ZsqOSJIIr/tn7VWLGN8/IKi7C/mtmM6y9TJ/kR20yYhxzrs8dhjCfn0/Kj552v41ORqeQqOafyFGCZr01dpAxK0Ha3wHAC3MMqb1UktJuqE3btfmTxdcdwEI/1wlsT15T/zA0ogXYahIOZ9j9EST2O59IhB6FGyT0uw6U2OblkT3vYDqNurJAkkxxdS0Jy0FIZIvoFryW3VAV/dSSWaR52tVq3nuiG6qe+q/it0o51ojznDdMIt9+WA5N57QVT3VMxQnHPhN+fWABXmo+zKd4GID6jxzCBN9fCc1rDSfGPnARH/9QKrjk323ezXMaFWggisjq1NepVKwImGNghl8LRkKXaI99wWD8JJ/bjt3koPzRsKKx5EeX3tcko8c3Ye9Nzn+4F2TfNyX+nli1IYuwBEwZpZ4RPyQL4YqUuuIjJWQPK38a3PNxLOvhLd1lbfvDceczqgFQaCQHGcLOYX5hrc9dXjOkEoxnSQUgoRPm82ln+mzA/0mOLX5jUjYOJP73l0As8QgwmVc8SsaMJZ3lXexpgrd4vA9jqJPGR/zX3uo26HOo30+3Ol0pR5RrcnrRhy/H2tbUXxSpNN8PKTrk3A76+i4KUr2oD+Anbzxvv4gwt8vuvv5xioS350BqzaLdXirDht3fm+rufim4A6CxFa2x89bx7pRNWLEvunBbEyk6qrORg+EWXdtd2qjREDAuL5w/3zP4thH+G6C1nabQSElHbpjWncAhr4061+eYfqgPZHVu/ueSVl/PRjXslLoI7JgExrA8nIdYStY43oDrd00UTMPsrXltqzponfcyubkob97IhlAD+/SZUDIZ5CUGZIJl9l8tW2S4FqSB71a3hms9qj0Qh010LWnGPTZeOLEL5mlnRPre+GIEBZkCsqK3TRNLomYBxPhOU/bZKxMrvZ7Pur13rlFMP0uEyJ4qmDZYq1fcKUttyO94mflna88D3WI6cd8kwXAAuTnk387otLGrIUNcxD7j3o4OPolV7SFvD0owNu45Yvqw0CM7z4mlf43Fs79SVu+YSd7UCMqd3zwO+1M24ZFxXyK/d52+5BPgREpRmDlnMnFbRbqaHWwDzVqCZ50gcUKa7POlRCPc6gdqfnorKTzwGgPEAdwmrAwpnj5TZfU1rxuGoUlM3LKoJsxslo5h7+V7HA5iwmBdpd2u32gT7kCq42xniUal1eYskyM/te8+SbUrp4oVsfBAPhZa6yy0M2+7cIS4W17Gn+azQ+xuVnxGIDKgv3Eop9LTCZQ02vDaa1qUyOx77Z5CmDkyZtkYcD/FK/hKLMeP9mvPJ5kH3ARar1qdvGpmvTzQasxQGugjV4Qge4vXlbx9JGu25tk/cPDiLHe/qfeDkdq4CK9r36ckf8vt0PWPGm23jJ7gI4pnL4p3ilP9EmMqDTGzGBct6hNIcuvkPFNhnxEkGF1yykCTkhz8bd/cvPLuLByvbIUNmm1IyTt8NYhxdywTIX2enUAmY6/GjTg6k2g5FV7nFyeSq4O5tBWi0DjkANS7MwHDntGB1Nn2+fo53kne97xEDCtEvxdd6to4H8TL+7zIk7+7goi2iKl7rPHTMoWKgnh7IYsE4uI2y4Qzd0T7njXZ2giHV/6JYiT2bEeq7m9Y5qkByyR/+2/kuKi6n3P4ZvhvD5DRKV8wtzf6GBtatoV29lLrm61rdUBFba0ZxelyWjbaGPvvOvf2+CvLi3Hsi94IQtTPZl6NNN3t1HXDH0xGalNB+az8rAEO98tuaRXPymVkp+rzuxL0t+uGefVDlJF/lAmUufrMarCfbuOSq0E8OBjx+Aua753el0aDRGkcsDcY7bbpL2V80ruJ59lx6ywr5aD9TRWSDfoyXRZc30/0wKxZO5CjPtn5l+Zq4kRYBEZi4zGRuw1yXenuj9yj4OKXlZ7QBSocPZuyJZ3vki0m3oyalYv6DLsvCneIaYuMuE3q7Wo6Xwb0lkKj5gaJ1Oy/PsOB7PT3NBu5UU6S3mlDzUvc0F96aYmdvCJtTp8WRrLFfRUAC0iOsLRvEYaUoDTvHvJ4nJsJsdLgk39FLcX6BJIVwyj5L1gAHUiH9qjFWWDQxNhY11akl0Fe0d6AFF60rxg+GeCbOHnsiv5uVk4f336D3BEQI0n68FJRY91xDRk1g+/vPJ34MlWBIS1EbKSUhq3O1eemsf3IxLCpU2qPZmpfUNcUluM559JuWKOA2QT4nYkCpHb6ineG262MPnQIG3EGi7pR2c/eUffNYjaDLdmdmY6q3IouFPPZg+aTvopH0ntvfQiDRKiao8LjTs1RCbnSydFYDHq/Uem3/0p+s9/tXWtnOUIhGSp9a8gPHxE69fNAOgkAiqzxaLPfN0MJfJtXedlY5/vKn44KhC6qBEFS0xtcZaHSYtSOBInSo9jh9yMd144jQN/P1AfRWy9NSt9JSuppseONSprZSxriKzfeQ6TFH/zdPCoqMebSQApFIguPcxVXOohDDrQvzmIARrcumM8gLlSax3zyZVSeLHZXE6V9l0I8LpjL3btjY3TIeQiRXZFcuGa7xhS3kceelz6AxHiukn0KDlRl1hqNxht++72F0DTXqgP1BRCCFltJj32GK4OG9aKH9RtY5KK82sBp/7vqfjjgolT6Ag0JY1SNPRgvHeRc1rahFnl3ETeeYzRFUh3+VYIB0zY8zTzPUiaY1LFRNaes8txn+Bq5wop10FCUgZ9Jy3WUEkcKItvN+yBejLpUm6FwUk2Rv6WHUxSKd5a2GBb1TDAjvD2hOZRis5u/vueooupyGf+Yx4OqbVgwfQKA75ziZher9okU9gE5lJ+ZaRoEuifmlQXQKtumX+bPL7X3kmPIDU8Wk5iFfOot68LYu7CRtt6/sJsnqkhwEu6XUjn4MYIa4sCFwKTAW5PTIDTQ/B98qJpkHQCr/IhUHj+Jnz9FG186vbHrAjv3RWb2BYHxeqFoTvlajJzN68Ug9Fs9qNLUntZABPSBunLJnrHoz4bJHwOK/O2PPVa4ri2UKqQD5vJ1A5ouRNvMIpd5t+4QVBaO1ITjqmUtl7SpcEXsPXjqkIPd6BQ2WOBiVPG3yUdi020jILF6do081qbsxIbj+rrl1yOntxosmyjTG6ndqemSn/WLI0jFUV4EqbfbddQCps3LfuQjCzyAHRl6BONprGBH7BkNw4ehP/Fc+NGSoAGAzxfKpCVMax5mlZ1LPeB0Kxu+W7sXXebcnBHSfXg4j3dNBJyzGwFEwKDCPzegHq7UEOzr/Sl9xwkatCGwnt8rtqGG4ScsDBOehRnLStXbhROehTeLblJPNVvi5qqCdnqTXNL2hts/Guatxwt9Kv+SZZIyi3JBqQbCJg+uNmcrjt4+ihoDC5sQ372ecxLfCUS+BM1YQ3qRcfYp63MK8sFXI68elqB0ht7uapNjV5r9E/66z0C+OjklKep6TM0iWnAC2zmGMac1mHd1bxEFf8/SL2hxsuWNvzqAM6JMdfzuTY1pOlTcDvHZSqspQZ5ZnnEh2z0eUUqGe1r1/mklOKHZxf/cgxBxwGX8YMgsh8HWOi4k1T8uPPEGwaMW4gNt5X5RQrs8QOGtzqxSci7NHFycrpdu2znfkEPP98qIR2FA3VwhX8DYvu+iJ2jz9tAVJ5Yv9siU65hFxsrMwOM1unq07RFCeHWnKLhRF4vGYxuO7AxNoGCn9nVnejTIxUv5N0TB2lUKyfx9PFxbCPG2ehlb/H0NE+dYobFe0X5oTULvLAU/l//O//qzPepEc64i+QsDWDPjDR2Prak4x9q2/zAaAtezGEhoasMho1JG5hlqaQfAfp3ZI3k8nD5Q1z2XPPxH5GWu/U0glw++RdxlWxfhypQj3xI9iL5Y+l+rhB6F9v9NRVAv7vOBG1Pdyqnco6oIX5pB2kYbKu/DJsuMpUl9ObqZtbnULgPWJDfwDtw2ocWyLSO0VHO5ep+2sXBRvNnclbenqFFU5qqkw14cz63bAfnRRgHrHbAp0ZOMPnUfUCOztIZji8k+4RhQmkFJ9cM7GYyJAxVyyRq/FCy2h2XiYe6W3iPC5nZt63m52HUBlYiJnZzTjUlUB4fnc5t0YFWLcCp+IljinidK4IdoqRnw0e6NGhxJcBvBzc0G6eZG/iXu+J1itPmQJGrV9Js9pJ8M/rCAEkUE1NU2agTVjt7jC6MCDU3NhZjiwo+4BeaoYW3nzAq2F8DBcEK7mH4/SgoZi6UvGVAI4c7f0EG1QfUy+RMn9LqRkUcu5Niz29Dnz71qsdnIcQI+SurlEb/EUaACmcVIPYAgNu7a6eWfpSxKjFud/spSadr/G5ohhVISnPa4twwUydCNmE6WsatGn05SwvGzhdqIdyasuImMHhqM9Z9uLd7527umvsJAoC6LblKQSkLO5YNtg7rnTdunE2xjwyrIXhu788NoCumKTEnLLZkPTX0iGfUqnJvMC1DGAv8RyrwzNFaFInEV0/rvBdiY5Kk6Lb5mitkIa58YITSa0Mncuasv2g5YVDyDP5cdmGNnUb4IibG0nvnwmeB71CozLB7+7Y/fwk4n2nRKb+RpciJgcRJOwX1v/+Lbnd0TLcUiGaL9mSmysx72SpCsCCw4xL4TLuwEfrXY2PiqkenduSMq8ND0/jzcYPpg6XlmI/4XT+yL/2wzlrixGOaTvAxoWv63I/QWq6uta8MFqueyz48s2OR92U0bYsj9yrxaKozTeSsx8LZdEjzeMfiILVz8ApOItLSb9sMvOwQqYVDDqmb7v8UdXJPp59CenRmzz2b/sO3v3sqbXsekK6r73LUD1SMUfgpmmGffDJwFV7ch1OQcy4vLOb0lQsV5mB97e0YJZ38LHLf0CP6+ZjtMT1Wv2RkCWFVh69hVr1B6C4YgbMm3fajdSzeSmGVw0Aw2Ufbq3Okki3FxQ2BrCvpsuixwMgC0u3L6Y4JCLWED8/kFYVJzBkt4WYwTtcF4mgLdbX6NSdLsbipF/P42p6q36AqcUbDHDV7/5Eb8tiLUtyx9aO5qWybuLPqzzjm5J+21vyo3n18pZnEbjzpY/n3hI/5K9GUuJB0frosnxzvee/klEkz3/+8/w873+zxvM8lO8luULxOa28H0uMyx8feoXM42iE/lu/sncZAEYbg+XeK7QkeWn1QIOs38Q/zc7NCOQjfhzEgxoQANqDlOXaqvw4W9KzmlzPUZ+LgnG3lWqXFpZP3JEGpLiqnQtXEMV3EL8oJ1JCjrFoyioE3youq6Ob2BrAkV4CsxvIR29c/Kl+5bBVdJhHi4xsCNrz0bnMUOWs81j621lAh4WYR2ZonqXc4ZOl116Wpr42tDrJn+FennD/06kWFVRsqN7Ydk++J3bjz+T7rx1wUI+73Nkj6koT8pSyuTFTO7NuMg+286p4gdTFIiWpU4mckvVTVipXXnB7M6wHNfzIdGqzKpbDkjivrUak3oqEn+89B0xELf9Rm9AKLYqpgZ9jFf3MbqdEyLNr00ghx6ZZQzmd0sd+mcPjWhobADearL367fhQtY86T5gj6r/WLstvDYIDWuo5fdCyA+J4fWDiaqWXluCk6N8SotFpbSztfMlhC/PLOZQX7aXGalZjpuFrYlBxGxU801ggq3VbghWR5KtT3VEm5NE3QG+JLs6fIeNl76Eu4JCnuoTrQsge9laq/FZ1jXuMRp2QVD1TcCtqZdjK48KC6VJoH5dH4PClEYIAWYquPgf6AlsD6rag5MbhWcLuwEp0Hndm2uHoQs1OOefit2n+Xk1ojlZxd5O7kzLDF+A6Sq2cXHuuyW3O3meodrTLINqkgOoc3YOEuUi5XAU3V/bcGyIiaFH1FTWXuqi4npN6bBlk1rCGkBuzPt54npFzG6Sp374221eM2lL8VGJPSdjO5FlcuKd3AXbOy5eZRrhSM8gtNeeJQoP1zai6qlQOefxDu84v2+eSDh18ycOHcTm55dwbQNxYu+X32DoJ0my8Ydjv71XyWV9Hb/bmvy4Aj7HqtkG/edzXwwzz5qhHXcgb4FzzspxQovztjgko9EHLSxJ6jAxkcirFIQdyDrtld9jSfMzMBolAnAceXr2B9pGn5S50zPD9a4naCWaGi/WUBW1X9a1+qOQ2x/ulLnqlTd6a5OnV3krEdFhTimaefUs2dGBsJpjABXR352RKI/KHd5rgPGHXQIQKwMN2Xh/XaTierQygZbq99Cz5uNHnMd7+Epx3WsGpTKiyb4GS8rbHeHIioQH+w4bydJK/zYDHT2lUmjv93Yed1GkTqYTe+KtLeoKpxMaPI5yzGhNi5Dk01VwlF2D2pMIeP3pGGigK/nrrwWoGW3PPvBy+9i2hUb/1230pj+R/ZjkBOR+0zEV1PZ4SVTwStYpfXl4anB/hngxU3W3SbPCNX46x55gq8j51wjLhNfF6Hj16rWReWdOtDU5VQzbxKgWsDCq4KcbSeWGZFSt7UPrS6okEeV8/F12y+7sZSHHGlp59pwI7k7OlcLOrCny+98+1XtOnu2YGvq0V5J22rhdBfnSm/vb+1CODcEN2LNeNYL5t3cw/eXq+284VbPykM/va2A7IqVEC8df/9FVxs1+plnPztLvDJ57mUHB0Gyx9ltDk/2Dai0ycyj8DTxUhV6LbUkTcVQi1uEY42mW6Wosla12xOXYKw1YEsitL7XSH+NxtplJpWTwyXTco2TnWSO2p0rcbvf5dnacTcrGaCvWlaTr4TlwAP4S6oWsaxpjG0AGbo+v6TTWcHktxNstgAVSUymABJUJTOYv4Yfe3uJ/9Qe7L8ur64fdgyZXvyvOjZ7qIi8Hzx8voEgjS71mQUPHAObHrFIUNk1SK0Ar9UepvNpn7Jw1mbvqV/rjbs4KktNobarJHuyejFC/hp4+JH0Po0HUCEaoX9eQTDGlHZ0qHBJKiFJqniLQCeSK3VDZ+WtwfqL/9QHZH3Gx51z9qhVGIlgNi3PH+CD5kcw1g79lCSiYha3YJ9EFTBaLGl2zmJt7bb7iMQuaF7ozEAImznuhTKdbI4Qjx8BJ6eb4Fifyrf4UjBQkwwh4a5jp4qxIgSZlSDp6fe6UQyrgjGy0Eaf6oORRW5RPqqISFh2PHn4GcG8GP2aFCT/8JJySq2fN0aMW62vizcqlqq8iaauQTfzIIRiNRh9qa1p2zL9HtHfVu0X0DF7mEoEbdndxf1LGsKV+K4pM/PxfzihsaBSQl/o9+mo9cJ1a162GKkWMiof3GHg354tbuHEcMnTs/LmExj+cezrToIsr1e8t/Ur1BCryUTjgBFCtbM0+fgloP6aPkO0C5YIgcArf0qJ+WJFaMCtENjEd65u245MWqj0HheHQEK00DOL+O3xvyKGRnoqdSlOiHZYtIhElH6U5DyI6WKdqa6XBtzjOSEywko9s2z/in0F0/vToQTR60I2+2ugPaLZkD/tHsoqXhq92/khe+xp0hz594wn+MQB0S9727Im1vWmU5N6ER3V3FH0S/U791RsPry+dzRVPySiXntF7czxY2aPi6lMXL+919bxKF/R3bLKTJKGtWHyonIJboM3OKGmtrl7ulFTK/zu4k8mtMlSpxWoXmXmcfy7m1JE2xRiujq/2iDsyplZZ5fvmbrkXtbou+OOh/vxtd2DSTvKpWorEPpPalPyyS/EcG4Qy/7D/MR9s3FB48hl32+w8B1/8UeFSrJVI+TLPXCwnTC+1UD/aG+QVht11DMOfX7qaTv5QxMfMFZ7LxfJogwkKlzeafsdLnZuFq1BM2O0e6RW20EjohzUBiMp3q/m2CbXt2X7hUvUEBS0wccbTBBvNN6ukW6jY7uXnnbb5SVKi2183kbT5f3a+vJQAYB7hwG2ZXGc9oldWv9WomfhhaIuvp72aSAviweqt40Ok49dcIrcRGZqCGxsIb//EtPMlSw/E3wUSj6exd3e/Yl+SKlN9ESFhTQiBtL6+15Wx6qNoQUCLsbsBHIcd6V+wT/up3/sbSb4hVAVz5AEt0pCojhiEsW6NLwskqu7T908YBmzlV+xTnOhFkOLddU2oqlllB1M8P4rmBU+rdXv72O+Ky6D0Zd/Dg1cCCTSbtUuiHFAhA7Rx/LSaNdkckNeJPPbaPuX5Grppt5+mjaHS15cFlrIluD1AIPJt4Zp4rEbj2grtyi80csp5oolV9zZ/rh6rFZyvJ7TgOh51T3EyofhISMiOeOaugHjRnmZLrvK32OeMRP/PoQpupdcskyH6wwXC/aOGZFYydLyhRiRAQhfi0DKoNATTyuRr0zvae2/lAWaNlQxqkbZNjIMfnTlZLwCCKCHozyO06pNGb1bs1PIhHL5/QWgZcPp2Pi+Z5WTlQW9B/pcvBaf9VCLGjETtRnMk7ixyWL3hKSx9IGyd+3Lbc2nUpzFMNkqK3PUAV1Lv7v+zyP20Wukdkt8ee93RxqA7h5WusVjtqi4XSZ5uAKVOiEJh7bucwWDYMPsHclX/ILCV2FR80lfo1TB0nk9OhqV8aML2anOEGRHpIKZOmOwK6wtK0jXJzTa1mageH9UaS3ZuvsoW7LTqD0iXTUHdcf1jSnBiycqii52YA7WEHhwsp1JJa8hsLXINc3ZmXbamKPllyya4b8t/wQ4WUoQeLl6VGEXpdbTD5i8c93aMHiuBRy2yKCF2xq3Z6Wxl+NX0L3jbGcoGeODE+1mVqTtXfWr9TW+dbccDDAPCqxu7JbPYpAVn6OtdibHCzcAYexZqV31p1cjpN3rgajcmcnQv0ljzTrmsTrfzpinl/AQ2uIyqgUsi2bubsQpE876ad5nKnzqxHD7dXVaihg6RdS65FTdBQ7Nv9UKu3Flgf+NeH//08UrrpnLv7rGZevWxPkkYuHQw6A+vbyW6Q+z30hsq0Z1qMoiWerP0gdt5Sw5tIzxw/VEKG+wF8lzbTnQBdBFMH2CP8yPxnvzeeH/nJ+8CVP8hN24zVG1hwou+XkXKg5KqrDdr9+7vScYIzJ5l7YNdq73dyOW00GLs6VCNrM+JIA+FYFKmTWsxOtHS5el9NjmlOquPTXr2Jp18ymK10QLWjAnS2MzoKyye8iwlcvWPv92nWKTYqleLnLBzUAlnzcNTbVZPMxhmIjyqScHAlxpT+Z8CZMZjxYDQtizYf4mKpDugNg5RHspI1KSD2eGnO7ZSg8ssOBZsKET5V9zd1cyNSp+qaCg0+KYgj650yDAq1CHOvDJtSFNGTZlP++PH3BCVXnP2K2dzaqp4R06bTwEqcN5SEuTv28AC4Y29M8dU08XxkO6n7J21nPfVb7wUitTIGkOKU3EzVtdOldbe3Xdgq/pfhGVd6tJv3haN+++/3/0ciHniCl+UMumOvbtVkGXLxOudtE+pL+9MOayQvyWfKMUCpg4xza2cFsBey77Hq9iBWkC1h07N583J8x2PeBf0wbjHR+sOObN4CMpcU/Ng0vxGTtBJOSEoj4qtM5wsatNM4cQlHmEpHuCmDcuyR33mj0O+vzIIX4lylVNVbWSS1aoxHmt1o8261+uQ2Imy5WVEOgwAO83o8P/30bbEUGdF+/1hh0jmbDFtYpo+rfd+Ded8L5vojI9POp8/gnjBmPJSJm1FWzyMsvnPpScGyvXgAwdmrX3jMPXmhgyAN4hLe5+QtyOjcZgyfcsuLaC0/VODcb7sK8e9YV7Fe3rHk7+stXGnoLLyXlWQ7kSb4GRVCA73nm4bvT+894AYBs5Jt13H18kPd6DNN3kTXyFPvqVUeTwZQ5UTvuI0ZwtEeY3xmbUtVASuPUk7AeqoRzmfqvgLXWM9lxP8piKpdcWshq0+2054EYyLT6gsK0+ZLDrp96VUc8FjMsUnYSNxxc+XF7e6chwxCL+930oYDVH5xG7EPbQOdn0Ty46frjxVIDz7+bl45o+fIiqvm0wAEAJ4vZFCMny5QFPF9tVtNRHnPVo4Up8HpR3tTWuJiA0lUPCnorNZpijPBO0DQ7uwspLRK6wzG3pNbYlsx0EEZ5Tj+Xk6mFENDyX3vhS1Pg0HzBTGwBJN01fr34z6EqVxTqX7+vsUFuoQKb0sa4SkqZG9L+5TTbsFOdJyKjQmULc9I+mfC5VO2SOXJ4ztytf3x7saPhBkVJDiwjRIWgTt4m/QgO09qJtvmYd1b7zin/8addbqznWZd0axkNd8dLl4BBZmuSJ+JF5xXzL6nl1NarJXr4eMdpy8t/BMt+Ff5NunYftJSk8NF9RoBRBCyMdGxi+WVnxFzMyeI0m0JjS3/wMrlPXIRywYqRXVl5u4PvYjOAW9e4C5+OJHssZ8iXNE5+b6chQiSHbPl3ix69EWg6S6hbPus45dVVK/XzyNTrs6Uv4kbx/ejwmnKnM5HWfZrpDczv7nAeoxYCnL5P4znOMa3zR1rgidescalGzP4hzpBXM3RWqW1YB0QxDnttFSp20ZTAnkGc+gdql91bXnsrsCrEzKcWhNd96dcfOWJ9urr6LomDpmipI59wOx9v00HYIaSwYnhdMsHKNWuSL922b/1DmtRKuFrxOlOXnU85bEfGZtP0im1UBW81R1QaaZzLnGL8uBNBf/CgNiTaZ/qhrlLB4BmYLhgJnNP2snmvZ4clHL1mx9a7byHKjT+Rmh/PK8tAGS7JKNXK8RfLepLTvnTfD2wc1tvr70SNnK82v09qHh1nQ1hvqlPacffGhyUOKsxvR2yqwsIzY4zZDPGvNOZn/ZZtXRdmgM92i4YaOSzovqaRUKxJzoTKORQdMLkEBr3YtCX/SzTbCr3PcDnFmkanvqvAB1QF2bWjOBcBaTq/KjRM09lOQxdjYfF3M0di/HcyOSA2pZmFw/8uGMG7GMX60uwh2y4w7pq23KRxrMuZdr+0mMDNneYceeyYc1cwr7yVUVfAda3Y6fijGrM5ugGJe6QWsTOVRyTcyUNiGZ6wOnwkQkdKfOo/zhjPa+weO9haV2JWXazBsQE/SfCmc//khxDgo84pkVkm3JTyS6tcll5srLevnGetezMPFLG8/gTVZh//RRsVHjbivsr7N3Jed8UDYe7RV6nLrxVCeXgAazH5o/sRyPW7mmRVNrhjw5G9ndUtU7ok7fjR6hD8KIhr5TeFZhQLexSIIaSie/RyViIbrJAa+GXi5ykOS2v9maPeSIgWV15X8iXkqyZTpIQddlO1LPXh10KqZ0WXKo49vqUkfM6/bUQCHtpAO1skwYnzndp7EhDX6D8w3wTELE6Tjpa5o1BM+rMKDGyWBOd6Yt9TeLaxLWHgy/Vl/YoKOfOjvsnBNqhgCbpt7acyh1KcUUWlmM1FwL+WUefWJ/LFDGBWq1mSzQwVPheekxmHgN2nRFjWagEAB6jvckVNVX0+1HVXfFO2uC4tqhkxjOOnnG821qzzSKXty/FROHDvZ268tWcFLWr73e15NXHeOdqbMWtQ7OqNZbBGakvFM2kKuco1tGVAPHUDn4DBFVGu7bZxz20e/q4znRuWCKhwSyuo/7SDfr27zFgclPNHlAfZJTdybsRQr/iswSQGua3V+91Nfo0eEjR+SRrPPQwXVIg6m4ClXSKRJcOlj7wiNvjJqqC3Q8wzPmBVEaHJvgmBKQn3xmBxTwAK+uRj2FEzFtFgAul3AMDSLzGRO7WjLz19wZiTXkf+KkA/F+FYG1r/Ix/RuObgi630x3Jf5UZ5oujuvxPzkFWjp4txRGWxA1zRw1wrRJWwaAERMioSfGkkn32ogoeeN6sqdFbQsKwQHyBeUq4sHBWf37tXtuVdq8WsJX2ANNjIKRSJcaGYH9EIdeG3hXV08nKgQMt6XT0gsqq/wXxin6anR8X2WPdyuJLGl22nDrDvKUSmS75KEIDnSLEcqcmIUHl2zqlzgCm9HFD9AflyBfQGxWzThqrqwgDK8MuGRaLMSJHXa1r27OMmc1TkNiGS59gnseeemrS84jUFiZYtxVgk3KB7VvhFs8Z8rBtAYYA2uBgv3Z0xaMuOL1tqv3ZGQyB7KVbcHz495Lv/3G8XxGi6H2VwdWtFICxCYTjdjqOaSdL452Kb7i6lnMNFp1a58iDqhv92LbeZ1olHgqIb+3MuBZaODuddmRosIX/s/WS1r66gnOrMLn6cxOqowv/7bKX75IcRlD84S/1xKWvmZBduuBrVewNjKdc+GIkfumWU0SJ/fSgRh5n6AHInJr6jkj/JNcegag7bQS7pKE7e8C5241XUTczjjX+6YM/5hwMDAUcS0uxRPtzS0IKedBoPgPHt1WVlMlerUBcKIN2ClscfLf+aoyD4GbUipIHy5moh4V7mSlLwnzxR4KSJibr/WE0V5nXRVX7pUQPNg61zCU73huQZnZY+D14ym4qMQ7PkJNJhOBKcnppyEmy5j+S/O4YEydnkt8muvQP31A8DRT6Q9tQSPk5GAe1npb0vkqMCcWRHDiitcwrOxejaXlF2R5JdRsjvN+o5tdLmJIMOkC3X8mkUTCCO8S8GiwcTpyd+yx8/dJLPKI5UeHfy5Ow+ITSIBzAVXujYU3rMD1UrH31J5KgKSHuK6Rbzsm5Tg/lQOx13nno7gg/T5ThaOtG7LE0shwqdqIHMro+FGBey+TvO4/9Qz3fVqYZDGCsYx3hxlCSoSYHzr29TxZQKMqLn2LlXpVWunK9qOk2zqevTMYvxT9heuU8D7zDt+EHfcxfUwqQ9FLRl3tV7xUskSlrvqqQqthysE0QdAC+I94WcllV3gl1s9UgqqoI1ejse0cFuGWAuf2J65EKlzgBhPg+TV7/NN/+eFRioyLOAkVPIEJsEuPmCJrKkIrrr8flJi4/m9ZdfcxAnH8Inzq6uIjRcEQpN9EKrZwBJ1Rdj6sdOr+XcNIB9/4VS9VL7nYJdZUddKKmZkqHz5Ccd4g5irTrNmK6oFd1pIauUMnOSMkrv3OCeWBJc2s6kDpanRVaG1Ny55yvZCCMHYWRYkIoXt7l0Mig19clPvWKBttQH3ewJtr3b577LgpPjzDeIaFuTEPppC4zS1+tYb95HWlcomvaPP9I001kvW56lW8EHavd0K56X6qhnsBJwiDS+lXe9dlz7Ita2+rni6w5b7m0JEmS97SmqbDV/ie4xwUfPrPTVfWi9N/O9ttPWhKu9Pt9mc90ZxLsVv44azeVVjBWjk6qhrasXVMeezNZt9Xo8DdMeoYkEIlz4DjABpinvpCO0QrupN0AKc5zDD0rKcZaz7iOUBBVvD+jROgMMt+QL49a4dr5kT7Gn7tbyc468J8SstZr7LmvXNpev79sb+xQlrZToYpxPRtAfvJR9elwmHONt3QXIIoivmG9NSjGXI0l1USZQE0tDKkcIMMf3dByHOXXJUXJWHeDW54NKofpPUxfV33c3F6Pk96raa0ueIcroLLH1DQ+pG/pjJ3tqwRJBQg64w4/R1EfhJan1SrQIt3m3QrhqYGhwywIpw7syo8uLxOjSBBoV/B5zcspZUyX6clpUq2vuBKEfgT99h31pfX23qY52zBs9QEs/uCsJR/S8aj6uW9I4IPwgk+0Y+klLqGA4ZJzRXsbRKZLqz4y4ovDzs0jXGGWjsMemjjKb/SRHrv22xqVy9wr7eQpEb1duPx10UgrUy9km5BYPocq599ndiJppa098N2HVf7uI/e4KCdf+qC1TTAsIOdSEva3hSxCNPEKj3OsWYl1N1XS+nWnqWgFiDLqObg4pSyYkVaqiihkTZLXZZheB3nqWsM+m5u/80PZMjm2KYdFl1uGvjUyayMhZlSl6e55FvPAS0mfaIN7GAqsVoge4N0mb2qH84FA8DDAzt15NdTzpYRkUbVTC4xewXf7hF4pJuF9UtzI6/ErUQEjJvPt6YzmNhDRE3mOsIXdPODNuPRafx+g6tAjrciQbAFBTWR38E1xdqw78HmVx7X08PHHOW5922sCKzypFc1rHIvlP5qbPt0TT1r1XRyF7PFBB6E9/f2rZPp/jiwVS2mIJ/EGgSSDz9dj0rW8wEjzx9Z+xIW4Fhd+1Ph/4lldsrrZJ3KHR37KKZolqkXKAwvLc3IOy7daqzWCKMz3XsdyNJwSIR96MgSe+fB5e/yV3WxeN8Fp9XuyvYKIHGBAMH1M1ScDYjkflmhOBlhT5gL8PGiw+1xoQGUq9qh548XU0skoGydv64j7xjTByvVXD79gFx9freSh8vNB1Bvq2qM11B9buDmlHi97cXCazu3UtKuSgtQrp7lwxY3yUY0XUPFZhrXhhLvYva+G3b1dRRM9f4ZBoo+Ujy/o3JZKv7Q72c+vVsFwCV+w4AUlznPD3PV+ak3D2cak6hSCFGlXP9KB2iuKiJ/7eHIcLCzY3jiG5cyq7rr89TrOptNH1jDqo2zGnd3gX6jgNJXntQ8qrmavAYQUR7eoiebF+nquRxtbmjqf0T3NryUyCZ2uqBPL7yW+ztIjmX+bdRn90L0MfQGnCHgLGPoIVdzwHHvqPWwLtHdW+X2DT+fUEYcDO62VIng84jBNuzPy+fhInadngV4a/lxMBrW+XyFV0Qz1l5PNg3GJzoBOCJNa4Oh4rf6irlvuI3JD19RLsnlrg0qr2peKMEQDiKNwt+uwyL62TNsdMe0wVckZ5uAViQT20f/cN47jS7jmT7atkt16/J2ucDDr3oKw4svR9L8USJ3MxaszngRawO2Ur4YNK80w9MazjBpECkrq6LXf6suuyqNcDGd9ntUq80zB4pEmf5VNa53x2F22TXTo1vuyFSpDLfmZ8bU7pVm/+X33JXDP/OqUAgmE69se99siFbzK/3k/SxoZZ8t6n5aYaJpUHh5BJlSEoQge3m+veTqfO/a3WqYVbL6GfKL4f/7v/w7256mPBasOm4BTkCzN5i3tD6w2gjSuyzoKm8Jd2AGortbtUH+bxpXuGNDHvpWVa9smirMGp/UFeZf6UEggK/nxP3SrpHIDf8QV5dkleEev9fgK6PPG1AmZDsN8mL8PfmpwY+2bkT2LuU24T4e1q39RZ4T4JT2SqkVq5IfvtCwHy3g2eZR3mgxLmfrj910Qp0dlIdaYmumbEWvV67/mX4YeDE+i/HT8+vfJ0/vjfuhHkrOeB3Ddm0s+IJOvkQaieHQxinReyf2cJrWxA6qWWdRe7zB3B82k6BBGMTGykVPLkSj3ywqSOobBmYPz63NiKpAtJgZKISVu8KOUv8/LjUj/WuHM++7zuKrxuedvK5O8GjEY+QYVrDd6929F3/jpRtTsS4W4RkgmEunmDG1098jNA+WOXS4HoLR/7YjX8dqPdzVe9akWW3C96+ufk6X9QAhqrzT8Ct4y0TTOGOqxg0ToGh4NOrrmSf+XkDrNK03G3t/VPFisvdKDjWbvXU/c+xHQYDBbiadOORUztpVEcQzCkRh3Y471w+ZXjxVk9bw0Ut0FjP3sLl3DUR1a0rB1nwU7QIxM0FP8S6xx/seLEqWncAyDR8XkfB+mgFU/2XRjhfCiNxpA4YAM9dYgRen79c7bmeITrPxTakvXleZLt51sefWykvtIL10ZLzapjNVYxb9zNqPZOee/mfsQ0gG+Mg4ETQ9x2t1h3l4GbHo6xXWozZrtYIcTWNrdLmaAnrzMpNW40alxC5/dr+zu+YCoH0+ngqbFqnbkHRoi0hBgWpT9oZh87WHKKJVK3opzJlLe/fg6IE1onGX79VXylBHG6g7gOcL23MOs3B2KmubEvZvkN3kmQOoZ/W7HaZ9bGMPf/7D3pHqptGtiEpn/wWi9Hv6eunle/sZs4NlL/lwGEarA6VBK79G7etoIuhNHv5siIqWPrtGS3lXwAR8ZSfNo/jMb6UcZ+2eiebA5QUrDQ0Mb1y5tUWVT2Vtphi9zZb+YZHLcSNiPZVeJXg+tofd+XGQMeI7azXes94W/As6dJwlUaAuNVKieOUxQ5weUh+ikWrr6yKLmfoJr+0JcPO4dtC/go9Chd/fSGK025X380ItUm8F0vOy3sTuzk3k3mMGOvL/SfwIZoJqNFj22NOXYTmeqNhpPhPe+mokzChYGN7L8SOdYB0CHp72yvmU1QdA7+kle2c/M5u8Q/zvvETvvdhF5jlKizSUtUtOb3uu7oAG3RKjhVwTtZp/lh3q4e/5a8IUYmDXNuSNCoVpj7XvqPBALOoeixVcZPfCuJNVpB6C9BUmZxz/++Rn//Oed0ewzdjqzPEqGMzEtz3l4zSCn1PVHBNOhrrwftmsj42+5gUFNNw+Ldty8s3OhNsdyqezDIel6VKGiEXjpWDi3Hac/mWk+n3A6NI9mcprgWON5RCuGQFiOu2xXyTI2rY9cY15p7c2ropPbrYgfrEgyCP1YGukPj1A0tw4HuH9FuC9I7vFrpT7klX/MjuasrbylDiiw4SR6xoilJSZaRCV6RhVEVcFKrRjDLSzCBMBjtomdDZTl56ebSGstN6wD0fXe3FxTTdxXk8gVTKtN14KkWP7zZvapqFOcNy3Um9sdOU94W01pYPCdFnGFFjGLiGgHfcmUwDjUwQekeeMFVdTYx0rwg2YkZGmeR89TFv0qIqVtVrVtEDGLnqo9dPTj0hPkc00j8zUQqHq47E+fG/Wh29ed7bpESebvd03kesbzipjQJFE6rOVi+kp16Jx6l8Nx+7DqItX5260gmzQ0hfm5dg/zQl0cTBi7n5dKv6nvVZcAIpoaaT9NtcnlTwluO/oBMpBJps4maN0Wlng3b11ZLueVtwGCluW+Kxc+yA4K34eelMY0itoSlPScfI9n/p76fHxxpsQepiu5VPJ8CMyezhI7qVHkVMvlayL2QglPbwiQPqvT0z49Sr55brX1Ao6g2GQq9Kr/YxnyATq9Sz1cQqh7HUmlJ93TBc8zevloQydhKmzGo7fv7jjjrwBXjhjzB3Am2ul2zJPHaDKx2LW6qIGn9XGutOyjnz2wB/RpwcEECn9urKgrb0kYZZy+Ezo0y0Rnn/JgrnnCYldu0yUDWSnvq3J0LleP8kh/L4ExSgpYirAko2VREOlibwriPAhJ6Y7tTF2MhN9rpWESPRjuoBjUoJBxa0gPYASpcVpXEsIYs+MzMT5SONi+Kg2N90uy/zz9hv6FUu3HxvBprNX+3CiQ4317pqwPYq6uGayQgRmRXLeFKqlu1afQ/lTd32UVKj8UTZXKrmxMuiXrm0N52/gnUUfQM5GK+40NXBntilK/pFmtTurdyoNskynUi5qu0ECoIvlhOtHJ6+5wdIPnMImu6g1AxBqKQARXnSPN9KUdvzfc+OPipqQCJ8BBVnkZfW1kB98L2PK83wvZLxSrU01cbNf4WmF+rVnusVsFnzQ7OXBn5YWQw3S1XZcDvb5G/jeAoVGnE4rA9h1Q8St6mR1/SP08H0Glz8qYcJcJbdkAeOI7UaXXDlNt4uyV2xR4X3BlgK69r+8xfIRSyYIglhG9GkBAU5Pe/Xz7vE2OCGjDxjHA3nQqsVGu9iocwYXx5yeAd9Kuw+hI1yj0/9Y72bp7MfV9YV7y22p9J0zaFKgxqp5+PEj2wnrLqH1VCoj7DAtk59meZ6L31KOtq2rcHovzWtIPl3s188uRIq76hhp1uSkljYYyTMEiLy9PgEhHYnksx36ekfP0yKvH7IbPLz5RQHV+b9TVSh2nJ+rz+xaj75L467/UnjCdVPAxKK8IX3vw2w2lHxHfoipXAqaxo6mQpsKs3TAgo+ddPTeTcM2dOc09zbQofyPifncIat8h/7qOhMK4A2wf22URIrKjwPfJqPDuMV5rY5uUpl5UseyNX9pJxr8K/C9mYTJDtTql47mDRr6cAwRdAJWJsvORnSQzoMw/BnyFh3tVkmUmoV5S8uO1vfqN1b8Hiqhpak2dWakyFprPvTYxFgO8osHQoi1h1a0oBytdEY6nWdhDsw6dc4lnqvZt/a4ZRpWKvXJlaqTd1/q27hzt28vnyLNZSKbI2UkeLhDVFehi39diKa7bnOTOpnmSeiKXuxltGDzMxVvuiR1tvmoMjusFMUXv2w4g0gPXHQb0Op5uRDjNn3wS1h5jgjg7A3W0J/Gp1WuTxO6d/Mh+XLHXxXqEKt0LXLYKFBgV+o6Fz+yo8ugWDugffvfuosUOPsHMiVcqGo5dNNaugdwnq0o50xapC7lDr2pPYPYoLmG5yPJb5bxfODDMXk3h+pabNFuJNSUBOnosOu483xOh3tZHf1yc0c3HCJSTcFkEL/+S999E0GAnZbqzrBJ9VxID0t6tZGRSzz1PlQTakebd1ubjTpqSYc7lhc9Y9YuLfBoK3A4lmXbneixCW7GSb2DHZSNCSgZkRH6+usfOGdt3LrpLds3mKO0wTQqLmL+2TA7inADIP3+KbAC53438CGd3/3vU9YHKmZFfCpNW1cr7EYNv8Y8WGez5ynJW0g5NA18Rr/7pcOkUyRTJ45sJrpG7imHKcbv0AF948xyYdtUe+zFiWmFXy28hh0joCHiDMDTlNS58zzvVfbM8+b5ESTf1LWgeW686CqRlJpP/l5DJ6IqUb/mSbfmxnKCdIuz1FKfwaWfXBOums3t9T2O0e+eLweMKrWV3AdOBk+MemJqw5KfEQZNrlNmZzWLcv+bDxcrmdyRr+n2EXlynFKP6uVeoo0wq8+pnQ/noNua5W4wP2Zt3B80Ng2rP+w2tzVYM0+YNjlBHpCTt7DuhPaqtorOwYM3QEugiXj9a5mycm8Mu0dpSzvNcbZErQMmaNKiq0Z+NMXaOBCWWUWbm54RBLj+V9+BfH4LDfGV6Xa6KAw7CEcc6GwhmEXf3zVs4G78Y0bw872lhPQHqMMgP366PUsAHJackUpjCmP12Yapz8lD5pKpeAP4HTTOgWSwufG9EStK3mHDtYFI2sneWss35AkBpYhpCDIGuRTdtd0bKHN3B6YjaK8K1ClKDdleKAQr3v+B3BfE0/7K0saM5Gw6mf/fN7nxVEjjPbQXmeeqWApXMQjyX2eyzx2CRqIHcRi8XUjsEBz91DYr8fgdh+oCJ/D2zHB7SiZoRXdbB18EgdBSTFiatjwvet5Inci/LcIOYknzoq84wvegFlH0TMFyNVZ1J00ZaHNMrz4QlcLuX3anluYmz5Y3jlNBhzW14d2GuNQ2BrD7TbeCr1VBrdRkHpjKDc1pTD03RSdOV+bdkVMwguI5/lC9DCx7AaK7yFs5KifhblOGq5DR1T+ZiNAezxlyv0FY+uSkaxLgM22OABhicOXZcPTTV6zJLA6Lgvg0KZWLAcHVaZEx4A3BWM7MHq6kL0lSxjvXzWe/Utr+kUOUNOiqJfALNit8PFZvKP6tjPPz5p2ya/XTS1PFmkzdt4zVOz/cCMZOYMzIwLJJ1hBXoi78K+9cQCLqu60ukrbuG9fPYevrSW2c78niHRKx69lla/fB4dQUoDfJFY4t0R8o87zJh+1kjph6nWzoOavKAYL+O/fHqj2ZqahJt9KuWJDnMWFUCh7gzfmh7fOkoxumz61uwkmoU/hb5GkYhRRdjwBEAW5+rwVU0ee4EjK39FlSVi9PzZJ4TQUe9XwRQImCVHt/dTImFzrK3VNf+xcd+8RJTVKXlPIq6jz08zNDi70qeGJnIlkGoFxfz3CvlUZ/uKS9G0rtXcF9dFamLFr+hVdQgVVP5O7enT+L+S+mNd8lpS3sLGqyv86VeSUl056b4jpvzZeLKXuvO5I9N94DSNvbtL9dSE1tUIvhl/IE5JDAY5Exw0dzeqmmu/3uwApjGpRTcFlY5snsXadbs4DXSL/CuJ8rT1iVXYA16nXlyI/ypCcPddQq9b90w0iCr2/9kH5GhQDHvnw2RTsU1cykdsOe8Ng9y56a9L22n8Vz2pTtR61xlKCfTegprKI/iJyyQwxuiKZcjhzjAnEaM6vRANJkT+3bMK3OsGk08+fCzelB39Mky1GA+0/ZO49MJIpRgrLtiZpA1BUMVI7xCgrXBLp6XxHoXoNOGaSDuADhVw7UPEZzsG2WG/cBBgvYfWRB9P90ltr4hNOH3x3f6CEJbON7XSq5R8mM2bbvuZdH4h9kWtHFRZRuERMXfdbVGDx0D1QdrdX7qQ1p8lBczG5lOzVNKU5ZqmEnuofJL8nZ+TLQlKOPKazIfmj5tujUnblGtGZmNm5EewgxOnn88p2U/N6LAsS9eVKTdChF+keSKUX29m2gJYxdC5HaVG3H6xA+v7UQ1OphNm9W83bxJR15zvAj+Aez0bQtlk66Ja1YW0SgiROEIdbaxyuqZf7LgHkarQ9RYCE2FXHl13jLd56RpxRaHASTOhQgsnYb6EzsIVfrZ2XbhTT8McVebwpuWbU0mUFLSRm80ixttFZl8C96kHmK8q9s7OZ7h7olKNC9SfgWnoGSzs/ClTy+7I8urh9PN9AKa28TvlwcEBPbT3FoLCCB4cuNW2hseC5HZVbx7QEE5NJWSlsAWCSZ5IIoCocubx4I10ye0cg2DIQIw3o+yzDDzmlhyNj9EKgKBlm+nvnZJE+/DoP0eO6XPZ7VpBlxjmhs9siMihtvZ7QtvR3oKl/uvjm/aZh09fZyPa+VAuHoHeoZ+AOOlxXJWhhmTAr+UN00SzUqlV9KPnpo2eTY1+VHhhserl2J6+hLlCjrWcguywoWM1NUIbdTyyweVD9WEQjs/j8aad/x1PUblq6Ss8KaIZzIMkAJDWrRcJE7FjnUJfGcEYigj/rCiqCWPgQLn9FCrQIqHK0uOAKNCrnziWhCF/WQDbnPS4kEGxQ1z6sT6so1FZQS6h9BmB+rk7RkW+fQ3UmXCgOqH9/XyZNE3zpCNYTkkIZGJxMJbb3UGBA0PnijnQeyC9X76xHi+FllJuik6t6bKXBq+Qy6MCMv/wr2fW8eTl6xEQ1Sb9VN1/k2qKPELquoy3rRB0q4/Cr4tnXTXh6B8ba2sn1bJlSdP5uVrNITqO6PdeuGcdFlFNiVWrglDtaF7SNJ62bvT/rYuibn3ZQqQs23UACtSCk/a9/vDn+SyhXXHddCdzzkvQPWtr/qZntTiMCLnaqtxH+cdlR0jIIEf5Br9noGlpcJnSx4/pVYhoMojF/dt0Czxeu/x45SRMyDp0YZJeyD76bgUaItCrVHIxJzG4vfgXP9GCpfKb93861QnEpz63Fd2b20n996k1DWGjPlRMwMaBDuV6G1MhlLZtp60w4NmcmO6l1mKpnfBRx1v4MoeXSmoFihXrMIlJiP9/HNRPDyDGyN8o8xqs17rydPtj1WQDLksu4MWzGd6EOcffqF02z/dm6qG/URPGUO1JQa935bkxBlkbVVB2ZEet4dafgsXMp5yLaE+gqH160aD02WkPL5iScaCxJlFC8G9XfK5LDhRhY3Je3z23NsmHLSd7KqhD/RJeRUzYrlK8pqxyNIoo4Vqfj8Rp9BUobsGvyxfXgclVeezPVmFiFzbbroLtftR0rRUJG422WuGycgQJbwnOeACTZS5afuVjlKVoo54l7PUy9tiUOWIRd7PjN3NZBBWXD6rvYsyO1e+/5WUEz/jS5Gaz5fkQya+OrOkYq55lqaf0dQBmv9+2J6HSOseEXELZhDh+Cvu+vgMDH256atb0djyR/0M1BEaZ/dIFwBHWjgXJqjHkav2UHr8BTNutY2Ndg4nfHHhUDkF4dN/DlE+6bwd53QfjzXP7rd4SJU29n84KF0ipuiRbhB6jjG3j+H0Idl6WIHWSsd6IVTXqvb3beu4l9GeXztvHvo3eYW+pu4D991Tyrkh0XIe67hLtyx1Y/R1Si7QSZkwo9AmdF+7Dsly8XXSAQlC45wE+Dfx2RngD/KxxD49826smbb1GEipJCMUefIr257defsYAOlfYZwkRtJd7IgoEzKWuaVyXDun2r1PUgX+uQX9ZRtZtb7gfFLM9kU1TUAwTN2wOykpv0CSG+04M4jz7pkefU7IyStso/7zlwbdx14MMnctrbypVBBLEpvYuFG6tnpAOIo1r61F5GpvltHpBv9rvWRgAkgmc2Gyzo7f5+B+FsbYTznbyH6Cr4w9ZYJMQHi323Ls7vdb+BXkvTLLOi8I/QHrRnJNrfKCLmMbWRqMn5JR0xj2vYqDyZDDpiNH56e1iQE3/Opud6+w6iSsZDiI6WxjPVeRXAj/FSIMtzQKEvfyl9HmgXBz4gG07Yt2Ef+CSO6Ua/GPGGWhBmm9+TdlHmBmNa8GELYher0baeMZmKrI0ZMEmeqbhYb3sV6NtTN+VbKj5R2v7WsN2yO/cvw8flE5Njs8M6NMRxEKgq+epjJTjOO7vxZAUcbLygvkYNHjs1Pdo6RbY5X8DBImCJWq3e6T0MhwszfvREIa8wFZjfTA0e9VSlSH88RGgnIc4U3hwO1d2KDGciGEvniktviXQoJwEXnj7bSskudSSmmMbXQzUPVNZrZXjKYmR55TqtHLRfKjcxABZ+weug00IHzsEmCmFD34fuVdbaVrpAVmT1rPJtt0pYlu9uNREsAXt9GmnWr5Yaqxo5atN329h3q50U2QlHZt4vnSXcJeOZ4pJh2QtwleqBRy7xVER9D4aqFL4dzgPnD/XZ4rKA7B2Zke17kKpwmV8xjWkvJrFn4t+LfZP/3MXX1ByeHCGl32WIiZFx3/kyiPA0X3qDXQG2uqk35HI4J9SfrSSeV+4xoRjPzkUSGgbWet3TH3N7I2AywqH8J98NAeLXRW9cCERFXkHzDNAs+7AOkeUZbKY8Rcct2tkWgzi3Crm48NdnVhUnfeSmvmUXzHbmufkNdvICifbDw70jwngVI3Kku72ZEXlfz48IpSq7f+dt+zIAXtPG8fRsZcSj1owxPGBTRHMfTu/v6b2nuE6evG+fV5rbciJifDD1Oj2UYNpbUmPwy7dMKhMmV/v84tfZVTwypzYg21F3FM1of/zxAiC/IJDh0l2AtkjhqIFZ/eJly/bPbdaM0tBz8di/Rnbkt5rzyqQdhNZ3c5QuWoHteJp6A1UtfOF7jXR35dOGl+LV9Lb1RjfHOct4kjQlx73EVpRBuX5D460F1Sp2CujW1TzqJG5XoNEKXyC3kiTfaZ5ybO5ftcCGHRtkYzeZ8WXErE5lIouETj68KpL6GMZNFLt2gfpaE4T68Y5x0SudpN28/95yRfZgvrrvy77X70YZvWZ0iYlwPn5Lm9HRY4UMffVGJsf96cvcrNCI4yefsqC5vKpLzlUM1iAz4F/QKn+3jgWldlttJl0UyL59rcvsH9jZCflMAt0n12cutAufp8rXwLEVoRfLbTrXarTGhdgtCW8ImVDqRjDUupx31NdwNRudU3bFif4zu/kxlcBZ/ONsGZDews0yrh8KODO3jQF0X3BnDZkqTdLnYHCkYs33+kQrpZNR9ufJtNn1SRR0fGt+3oqSlbDrFFJ/ykWEFE7PCcH+pvyWFy9ZX0WNN9qHOcRPwzHspRqMjcdom2ELysHirRAsRtMWzqemP7oP6MvWotnm9WapntLcEHaPbH+NCBU9iO2Yavotflf2tlVuDkW1rMD+zEQwFpSma3fJnNyeOK5DuqSHMbkRRErK3EprPrKOyQHdgcIHs5k6lC147z8htxaKPFBbpu04/2dFEYtxPkJl3BflNTutxO1CgAKmUgnt74bzDGctuCbhrfUkEtryghYlcAM2jASLPVAYvAXqjW0u1G/8jM6GZy9Z/efQ15yB8pp2/rpn5bH8nKXlsZhHkEzUtzbBdA5W3TqaDcZzl3uJEk2t45kb3eMDTwrivEPwSxdzwe4VSFKKPd2bTHxgGmcAb/UC2y5g35lB+2RcxDI0Cu25RVheG0cPfXHgOG80HAhXLkKjLBCUC/T7VPjnjb5J8QFnjHxcbuD/rQGiC2w26UPfRJY3eV6nWi7Raj1iP/HP0EJj9eSj0FahOjZH5n4fjTvkfQT3yJ/bYZXGV8Jr6UvNs8S0CvqDU5EvDKu6vcmyx4kpzqJuD+6QJ/qBOnjs4EQ08FtJKT32w2b1q821a0fnQS1X7T1mWVfTMGM3d1iAGwTfPTefTyHygG/AWWicbfwkEY7riOLXYyszl9eWgTs5+lBG+nVeRo6uMgVM1zXBZPrSOfHYohOFOMrDT+pWUM4vt8axSv27Jp7V1kJcvKox61NoW+md0hLGztqLa7BSutpF7N6G1Y5qZPdVg5TBwleu0l3IMLV3nNeb4dDiM573szEjoESE2iZ8ZLpztJZimTYfKWx9SY+64hSgoHDAdxkznpBp6kyvfSVbKrw/fTcTo6fxeNmGh12bkpj82Wnef6RLkfVoRAK1WGM/PDQGWs1zfJyI0dtfq/1mK3bUjyrzXsnvVO3Gmbm2wcRMJ1ZZhRpTjaLr4dbOJLzMcyF6F65Vd6k+MML6u7AE+BCThGj4Rxzhm8gBLNB3BBZAsXIx2ogz4QpXFmcif54yRa//OStHwnP54tGm154HPTK+Otx9/M91Sg4xb9hdPnJ4d+hprJ6q7y6o7l1ZSs7ZUcbsdKWu2+q9lbRqypI9SVEM3GeRq3qXle6Bvy6+DlaQoN7EfLhUDelbpOxQT4AHJxY6AH9SlP1su+XrTulDuqdxc/Lw2Dmhjd7gx0QhNnBZ5VloyiR1WHnmxKv43aXP3KAA94FMxeciVH7XyJnUOsMLkAAQAASURBVA/tk9oebNh0PrPqjHuKXz+Sao4cS3+wR6ddnVTOoL5oSvk0+lrjJ/gnR6eZ7Yqav7L33I2uW5deDlmIPOkn2wwDA1vSJuSfVi43l91CvlWNGQLaesvoOl78grkHf7mW25mpD07e3pDgCuuHYzFPmxDUZMAD7yKDTtHNllTAaUsiPK7fyI1fNpOsErU+qZHLTwuZY2taJn7WKjNfAFZpBncxTN+0NG4giLa5Eb3MfiUy+Itl83gQzdqHq2aMSZk3tXQup0AJAJuTnkl/AltHT7Hyj8HiHAoVWfRY9g5GeVIedzXqngcChzwnFbLKTBaJDoRhYXjrxA+Tbzu6/bQsrxJLUNXhxHVrKR3asSL6sbwpE+V7zxkW6QdnuCI3IHyzAgZ96S/5KHUZelwC4BozFCO9DqET3MqMIvozYaEw7Bi4qKnbKGr0bzVHaTCf2P07B27aaYoeTz2fPizoFqQWsJ84IaJJjk2RsRTQnVplyYCWR9lRcloqZk78ah7Zuqb7FIAcWQlFsXOXFV6bfJTHqcxXN7V65JWfQze8bncQqLMuzXv1rBAPpl35UuI89e0pssSOhnRSlZE0R32DDACVAWo3iDpjC0ceKom5+SaKLSXZt9G+tUfVH7fxqlwaw3KW3c1QpZbsvLkuImV1dS4tG4hTc2EMzENiCeYZqXCivcbI86n4dMBhmtItqhDX8qOZUbWM6oF1g3czp2vZIF0CfJnDbGH9K9Qbun7uSTgB3GWAeFs67QaSu0YDvpiumKfKkhjusiiwO8zk21l/3Afs/S7T2s8bF35FefQK3SRvplumOr/zKegqdnIVuY04dKxGgjDnj+rtX1c97XSiVmFQljnDhrzXyqg+6L15cAxdOpmrmhbglPjuvrvKZL3vs0dQkkORyM4dhnLLK+8yuL3oKwPseLOFE1gDadYyZRjuEwbIj437r/OCT9zsAz4Z9hLek8yVkBE+88jkqxPpcSxfkhLVFIb9Kul6PnBOi4ZNEVgLh/UydzUHVnSaQ+jV8s6+gYyyOZL0tGfRWRkuyVqb+dQKM2TQ3nW9ptWVPgBjLZPmrTdvmpLcYYNRAS55LYzs7OGonnaV0UkmbYZj4qMWBOvdjxQo4Xa396qYQiuXwv+cliQvPmXhqe4njSMCoOvsg1UrqG0y3pc6lVLQ0/2xk5DRUabxLLdBWavst8ZNUsZoVezR8zdAQuHKe4DEoWu+Da3R580OHTfFP4w8qfJB9SoqmuxZqFjUbaS4RVkjdNHZyhav1Ru9YfMdxUdDmgja189H8PDdLT9OJYFnr/c//9d/l3f1wKTqCGn1v6LcdQ/jod63NZ7fzq5U26feKDGvQwtk8Y9nOWaNc+oVnd/Yo+yNLMrnTyCN9fL7hr7yKs7orABXsR7g5gc7R96pDvIQxXbb6y4tQmpXw42yKihlgElRKSJNnyqpdLTJww4drLXtRNOyTbEZUri25YQPnIqPC49G+e0xz03K2tuRcWew17zieEPfPFJeV3SXZiZIUpXgZCT+DAPevYavj3D9SLlad7BzaR6PxNxC8z79seywcNOMSHilbwwjRQVp8fdKT6UiXKu4kqVLaF+EBR3VmAsImWtgmMGtHsEOqRSv9nZeTkvBAMnhKRRorSa5vX7M6Z6P1vUmfliQAXmgWuLAXvmLwVpG6J7G6Gx+307IbfS++d0wO736oIfJOrLY03W+/CTb3oVc5dra0jGf8wBEz89zIhXFfhiwdZxZI0l6fIXqPdT2PAYyOCcH4bhEmxk8JK3OVaZAnUA2ro2h6WjyQcvejpz6ul+w+SNu4tQFXMT01vAk+aAgkt7oT9Z6ERdSs/z1se9qwFvk74zkVT9+8cLJngtfemuOt6UXHH0LplMUXuh1x+8KioVcUUlb7eW0Pt5eu6sI1e8IGujepBZbwJE0aDYz0h1Wu3La9QebU3/xSDPZnc74AMwCvtwZLwKc7Bq5QIOcPVvse080jZ1lz2EmMmXb3AS8hFi1oaNC/AJ/kD+fYzd+HOGdae1eS8WMgfnu+jo/1+Ls4yO+EkZL6XToEmDLo5yrQWXz3hunYGBXmuM65M3iYO7+FmjNss4RU6yd7bVn33TiOVdgQvrqBTufnoBP3bNX+R6n5Myan3yYxErm1sFaZUdHT/KSzKoBmnZ1tcukTxu1JNw++sgwt2ul9Va7LEIFKmZFdoEBlqGS2uEMWjvfFDoPdbnwc9qTdEkKb5201Mo0Q0qFWubkc/RjObtnq92KGHB06Up5+2mn32wf58eaH4/8k/jxoz9bcSnv5gGRVCLb4NCdJyd8spSVx+/5WcqsWgar+s37+6rq3Bg7jZXXL4D6Co/0RoeXg7JtywBXSc52HoLNFztgfl2lic7O6yUh9QguJYBpXPC5X96H/MxdNwJU06FAYJ/UEY5C6zzfyGzibPx4F5DpG9ku2KNcbhvkn+OfvVa7HM/j04lCbyOTKCqqwurSPO0iIvNSAHWa6yqplUcvi8x7oj/41T+3e/tz/ZF235UaPrfHrVOg/y4Gv1n+XfMjWmhNRtnXAw3W3QwUIqs9eEI+6ajoLT7xd/S3fX/xdjZWfl3tySWnryqZJuLyFNmDu9P0+jzx+x/Zj39Gz+TRz/NzbfkYkvgk/ocym8hIxP3fwnEEQ8BGIdv5fdd63t3982aevIsa+YXo7A9AS7U/M0deNFC7Fwoib7L+fDyBHvtdd4nJ13qcIRTa1cMXpkjedGc63JXGU1XR+5K9HuVYPZlO08izDMtugdu2YmdV6WjP70LCi1qXeuEYAGuS0CZ5TtYVBuZpSWbf/4+rP9qyZctxLDGA5tF6qtboUa1q/f9vhhuhhwman1JEZmTGvee67222FgmCIOjypfaWesePxbIe07Ys4nY7cvhytcb33eFLqgC7cqHX/vt7kbYjNpCOKoih551IFWSO2vPtSM3BtNVr9vQxZ8CkTLl1es2tHcsDQDbKemyXshHsZV9hj3Iqp1AecJ1iZ6iPsXXnLc2Hizn28tpY0CQyglFdAAH9yj/l8G5TfBvjiupYdKVz0yZLif3EhZPfYMLBK8AbH5QiE7LiDueU5vimLHrh8zUh50+Sc2ksVJUHM+Iqf2k4g3RnxYKXYThmCb0N1UgGXv77nOmJJT20e3YKfU6GQu+EHkTFoH/LHRlHCy3UNswJKB/2h5SPfsddADElpHQNU3cskc75OIPSEzB2+EtJKiK7WvuKL/VS6jJhq3Lu/uH5m4Mu2XymRpTgvC8ltCpUHz4axBPTNkxMZf9xQnDXlMpqqXE/zA/8VI+CVjflwLkoB62vswpjPo5p8pa9Z6is1qL/vBfRwAaollwhpes4Eo6soV7g1l5u/NwEF8sxaziVYdRSpBRTmRMY4pwOqJnnqsABxYeSnyIPRQBHkSKy0UbukBSc1DQk9F0X3zBlAbl5Q5XyeqHvrk9AIuAJ8C4xqoGyfPsZUc08tRQSjNqM4rmBTL4Rh+xhQi+X99R4PYXztK3kzo4WSDrW49N1ZWM/wgR7bK/JzVOyfkvOkkBK8Cc3VG4pb2jFmj/vi0umXn8vrBzx8Aa28MLsq+Pkmz+lNDhwfjsAfD6LjURP5NOZ6K8sJWG+bUKkqyGkf0zmQE90bGTtc0tJqRCvoK2NCxw2U3bvsXP6WqbQoqgynGuhucKdhs+PvI602Qnsc8+nDpA/QY6UKjdbOfXFtb3B8S+KtCK93iT+9QhHCu9cnmw/gqmszDJstlVA9W7QAaCAiRYVQItqJzsPAfzFLWWmE90j+SGcbNlLRZRAUW3kdROJXng+ysn50HyR7PZJ2Pb64ef/sbtHLIDda0YVqmOe58zYP88QtXFj6FZ0xWDYNNmRiJzYeK3r8aeaNmMQLv/R9vEWKcLmD+7idI3m+H1Ats/b0McuzNHeVW8rd4o/0FhJhfs1aSGj3pLsrK6fd4ispwoHn2bIQ9BQXrbtHTShFfvwd6BZCJ9661ERKxrMXkd63lYvUk4ZzGvtFm7PPY7DBT7OqJ/5qAXlgAsUaMHVHGfUGvcvzR/9XMaN+kHdThjMjPz2l70XpIWJ144HdHnv2UTnt/m8aUV9e3Q1bOetFN6x56mUZq3dJkAvZ57JtfI+njcFGoXB/GGEuRQjnVRxn3Sr95RnL2r72mRAsEziN6o7LJzUKynZV9VcEEW2QtN2bBBurPJiWVSC9MNYMrZPNzrMsckjw5slSjcqvS0pcPt3SRNOQ3wya3+43RxmNV35zLioLf8KMZKwpZZgdGeh26jpuwiZpzNovkhbTKT+BXz4Ka1uFKJA8MZW+bD1mSMaYDhmwnKO/6DLlGi8O3QTEHTSe5G2RhmFFwChemv1wfZAZ07ADOA+2OWEMW04BZNWIyZGuHmS36g6N3GtnkpOngjxeIB/ubzO7Cl8VokDVfGMKoONtaQF7YdgVP6aebF24IpXdAZvm3y6ndez1tIX566nHankXGDV0fd1vTNs5HMMor1an8qjkZaWqDbvXrsvFhEjjX2HNeV0+XsVe7s0xHCD+KvGrgq0bnjbjCSVXd4rgb76/XGe1FDn4t/qEvDYVfck5RrZFtdHZ6lOyV951rkZnL5qjwy2QVKxVb+N53o/R4cdWEkuIi7oNthFzEf/K9ZAeTWLBbt4zhbgqRVH6zT7G5Pejvk3Fd8JaOezYwDH6lGGezET4lI9iud1FvsYb/EnhYC72qryOYLl9hIN1DNZNy0lZJq/jK8lNzNLzQFboTVNmh6MKbKW9SgdBQIW9OVyn56yJOX11NVF07nUygBXW+TXZLrXUuL+5Ma0ZVU5wIVSxfP7fZcb9m5W/BFbYEsQRX6Karc1JyEmiCkbT2i484A27tx8ykcoZxj3vmonkHBtqstSO0OEoiIhztt6dYQAv6GdEZ0sS3eDXEdExgm2Lk4zq+SNzt/BFbLpML9JnHDk460nKoEN5pPOXD+AksJvydZzabzQriCp/TA4Xl4JxzfgMFZ6nT/S0h5weaqOJ0C2VtCiQ8x7wt8itF952QpCZWx5WyJtpFolzOBVMffM0h9BCYuStMWAXgujcru0hDm9qBNX6ag5dzlhzNBIPAezpJqPEh81/AHdr66L1BtY2B62KNnH2bKkDLdNDdcugzaHMHg3b6DM+J55vXmdX/4APx7e2pXRUgrV78kVEKR5uGexKGfUtZGPFJCMo30PFKHPhL8aSXWPydoIBFCf9Fs3cXBP+bxPIViXXEHVAqOw74K4eJUBF1xN6a+MS/7dmcXfKVEHArNcjr0mN3EO5c/lwmNX01lJznR9ZamXfFzIYLGgQ3/bsrh4G6RYvib+BVmr6b1Hm4pCT6QXDzXXDYHrn/ObYeWSxi9ni8JAeULFtTP73iHjigDSEyNh38tSmSdP0SoHyaKnQBLSZpf+9XDKyTZ8mZbI0GHt7bhIO72Z+TtI3ry6cxvOLJtPOO+l0Ht/vve2f1dEbjx52hIB0Ft+GS1EpoDXxOQpBZdRph5WzWKgNenPpLY/XNXoqWn+QIIqHOSOXPCiYuA2yzf5wcktxTTHWBGG//jedjCpbMD0nv08G4i7/dY9C4+nlNS23ozTGaA2dgaDDGA+D1lHg/WcwEG6ZjJ+qH5aP0fy+gfqL4B6+HqE7bWD1bEb7ArjTl27L1WPcKehYPDJZNj9op5UyfrNKjzHcQLriQtzWbtjZHcaHA42dLRNRbQ1yrMSz06eKmbqtWHPAilYKRGG+bc/Glpu2uBbvu+iJVZZIHtZLNj5EPNuNZicSTX45Mtvewcees0EU+5RmyRqf1S6qKyiYh8fuQHjpL2edaftzl2GMq/1kMBCT6O8zuf3Cmx+T5essUtD6hnhW1hWXiTDQG5KsGifiojCj1jO9+yri+OlY4gEbrYlznF9W/hDQQSgUp786JAWKZazS/18dMgeXVuI49sQNxcmSk3ANHZ66IigHLW3LhGvtwY3gB2YRmBFb1GzASIQzxXxJC6GWw49GHcEUzrgmR18f+BgT4UgvUy3eDy4th1CHbhEfWfhAiheAq5gGGuM3iU3RrcZ2ArEZXAwNi9L6XjHHZePUMR0kmd0k0lkv6+U4UheN8ktecjdyBpfXSq+9oUaiEhRHi0LVHy9JUl6wwt816obh69o4bc+QEQp8EDkASJv2oCSXIm1fGUFd7EvxTqSNGWlpEw8iKH7IXsh0qWaTuIXHHGG4iVI+msZNXJ8cCS5oSgE52BuzdYsQrL0qBFF7DMBpxUYtyt0Mcgzrz47xYP0/sgsqIwvJJPObiYi7Ov6GE+TNUbjn8FlYvv07qRKN9cywoSaalhMRL6tEHTVkBTvTN1Hvn9xwr9qWHM3n1/yJBycq1FzIJzY/La44eT2KBHsObU5+YQwjOdtTZH7h32/LvTRDA0T3JJ9pSqAKjNpAtrD/T2lS0WtdyrQim/xs3NTZN0L49tzCM3Q2b2DB+RyayXsEtKhpXYwdE3qPNTeg61qmQU1Q++sazNWPFv7yuZKV6o28uNJnqNYe73aDCyppJHrdWrZuApJi4HS+ZMXPFFltJqMacbPD3ndLZEfbXCxp+K7jQ8uz0oTnd76XtuO/IkK0/fz0wZFner48ECAhBZHctGq8JSLxsFZ+BTFZ+mpa29ddfmP4DbRSxsCHkugRzSfNwK99X/l8lqP5tYlSacE7sxik18bjz3/bFxRMOftweRQtnP3DOrOHJAQcecrVF+G5fmquxmt117P6JHOh6PJi+PMm/LAYM5U1sOwDFqi8m3pCnr+52254seO71W2lFUrBdk/FH9VyKzOx2b1EtfAkbDXM/ZmnH0HQZOXbvtTGk9/dfhRaWCnPYytLldMoIeFM9RSAazf4kBvHsnH+5TBIme+Jb/RTcI1AAr/tK4zXgYcP/K2DBFVsNoh5GU68r6JQqNhKaOIPmsuRgKVTl7KEowS+jCrysyR+E6CanUZaIzj57YaSec2hyXafoDFcZ+N+rXQcgjEqyfGLfufgRsrWdeZiGAZz+JJY+ze/dw5L5UlRYyGfsc4EAMl8rO3zM/fOiUrwsnx4Rbr8/ZJ0kl+RjqAeqVEcoFQpe1udPx6E1dOKVpvVTXS4M+JOLbtgP40c36uMeevzGNQo1UXwaCYqX+oaP4bZ1LyynZ9N3kdw3TbiwJUsR8aPuQXJDndCNZQyGqOg1CyB+8UanGXgcodZEZjp0UXr7ls2Sg36RekByrdoWO+SKucXHmDYBXc8KYSdx8HeMBSpQF265l9lzNtfVD0oDTsa3LylMig2wBRbfkbKPCX6UpFkUvr6B1pMk/z90E2UxreFLm/hm5VnVOeCKB0TIfbdmn6uEdRIJaSB1fp8g8fS8TpS1sXrT/kgmEtexYeZlWoFY5M6xeieJGeDvMz0Qy5oCKm6Un3va187fGKS/pr1ad12VyniGNGJ3K3tjtC+/0WppXl6mDdF3TtT5+af4DeXzx++BJi4s5jl9cutDnlTiOkl1mZMw39I83/jFZ8oJXsoenzPdGR//jhonxybj0+BRwqc7DlWXOF5FcGfHeb08ZnTxceztkgwdQdfzTeDFC+XB71RT8i0wgIoP24DdUuqXDjK173JCbqj76xrLuKofI81X+UHm61xfT7VZz/QdWiOfG/40qDbufoFXIjFtmtzNCIsmKBqBs19jvPI1rQr/0MCAhuN0ZJdJur05Jkc4Djbh8ftWDGd7ZOSsAgumZPuHEXQi3Q7Aca1opsRAz7LkUIAW73qrBOu3CqOICjTbUBBYtuZpirlClkHeWtmiWSdvdG0/ibTClQ52W9rhaM4oWz+Zrs+Rcdyj8QUcnDLoLkCc+uXR/IvMl/WVKlaN4DpD2ogBM1ESLDsOrMWLB7ytLJlv9k+sbxZMf/aenED4L+8tSLzF+X3CztqMCVQUSyViR+lt/2VYgSkgKfyxVIf3JqbdawybXH6G80dZMpW+++Y+2r1Wr9cv/5Y8pLed/UV1QySkUZw9m82nXfvbC5YnHb8QmNvjC+tXAgyx5pSIC6d95Eijm/djtokPxwsDFemmBMD/9xE51/JZv09voSUSYzZqV3IIz0hSVPtNLTPhil0aYMcplap4R9m8DWeB+Vqo22jkZQqUCXa08dNBysDlyMVB4p5d7u/0DkPe61DTBKyg1dW/PPsPpa8ozenvz++rb6KxS033s2zyPP4LxyAFoN22oP95IbAOruMChmUWZsjbuSy/hSieYpW+WqTEptPpfbgMWuI6E0GXSA2009+WaziU5qIUffNSsIwbYaA0hQXTTaxm/U9ia/jFKr3EQOVmw8mrU7W7aR89bSOK+eIO7sXd1kV7svLcXm+1K55crabG0FNMq6zfmRgrV9K06qsX5oyk0CF/8lWwRFd59J0WSl97g5q4VErpwl3o2fIlyy8mgXMJ4a18l6n5kffwgGQPOJdC/P//u8ChY6sG5mNGv2BCfmVzgKfFwoPmiWf6peUjnCqRcM1LCl7MM4IqfacjxTK13kOVRzc6iSYvmVKsRCIajS98LnrRkipOijIgi90w3AifB1crsIskbP13tvr9IXmHojKBBB3dYJpqChJWhnSg0Ox4II5RQI6wPDHHV80W+PzXXkQrd0Q85809pz3+zLhxgKEo8ZOmojo1XDNexqE9Bco6K2gGN0/2NJM9NLK8M95BGFUbPPCSh2Xh2UZ6PzR8mA3LnyDTKjZKH5IW6vQ3sRsnVfQUX52m2t5Jfup/8Zm41k/WgjTbWSrFx1awVHQbPd8HWvCC6pSVIp30ilVXKMYm0PM86dn78chWrfVMWtmOcbw/ZgRL5SR2BJNj1Y6MAKnHufcy6rBASoA7IAdKBvtPYkBf7eYau4EqcCKc13fhsWe6HfOiOVcAlqB8Yt7K/RHrVST79T2cBWMbnyriG9mOVxdUidi8hF/tJit4oO0QECytnh6PFDiw/w5gjUKY+fuYS+C4Itds+b8Ynuaakvj5QuFFUJzY8QaU7bSk/nhl3Tg6mzyyha1lsJ+DHsvg8Eu5y1crI89anXBSWR38CQ8qmbZdUGTjkQz9NP/GXmHg8GCCL59nDXC3CkfVctYu6A/gPNwWIViFLgqwH7pYRYOmS1XDIBotYdPzDnjszyRynnn04hg8h5LKRku5EHJmVbY/1FmsZIfYvD2v296qy0TpYOA/cUSE36A5hOP2iuJSX6VHx1v/mDpg2vI4Zy38VoatbyzD5CHHtzalFn2bZN+7SXkPNZNPu3rA0TOPnDbw5Q+05YhwA50hQ7Q92w893dzN2oljDj95ySbb+9QDPPbH1vVQria9055TrmKbdzTfwpF5d2JIuT27Y5z7dHfgSTrNUwFJLoRKQNyK3Ynukl6QSBKsIoWaP9i/0t7HNYlmHg79BbFppCPFvQLLZEQjP7lhc5g9byRV9o7nWazo+uqoi66RD0GcrqxICS6r7ZavZKds/l5C9v5XBoB62LT3Ofrc0Oy7j/eM/guTgupQwVfBJ5K762mT9mVFLC+F6A+Zy6nDqvxa7punS7S/sRnIeGRLfx6P1jlgsII7OEhbDES+pyX4ox68ZmuF8sE1I7dgA4iksg+dC2AEL206WktTLZmcUx5i+iJXPBoDMCzN35lDlLmOG7AJTsbjcTIUv9dH1T0b597tQxy964VwrzNIDLFoWyvE+yWmXZrMMTUdi2ZIs5rHK/hRAej6mDOesW6AIvPrWh0XIgW7frdqjSTQhTQSPTC811WUaziPSmuHuVV4zLuMnia8x2FOEiDLmFt51aovKwYI/ZkUKYt2i5+eP6C7h0j1S9BolvRwm/6uSbPKsrupHfgPD2EhGGe1GevNi4AiL4bOd6ViHJ7MbzDExctMqmE/K6sghUJ5cGWVV116CmvjAoQPeMHG5rYsxUkb7nbWgIN+k+dbTIp1l3uV/wUqkbJ6zpclmRHtmp90mcbhCs2jGtxl7RmFUpxiYyKb1oBLhvbBlI7VYZSnbzSzHaUive41RKCsWEFbitlFZJR/fmrAD2VULmto6i6g995/DPxYjPcYFSb2vNooeHqKTec59YR43Ed6CoAX6KSRLlkdOtFypjeWT75ZMYE3P+8ktv7fLGyM5L+6cktFsu+3hBnYFyzluM3j6Pt8+VcvZ9jiP3F46BmqOx9710kK/5ogKcnq1w8ZJb+PNMfST6YYTaCUhhYIcI2NCwtAxloRKM5wagpYMZkUYz/tE6HqAzXxKYvdQBVYlW+JLKHCsQesAgD3CnQtavTfuSQ4fT/l7OTWH8m08B3iih6nd0eTyxHtR7497NYg451rvgtT25Bnh9XefXXSOV3z2Ifu1oskDTEsYU3MS+DorYRqYOYDvJzpgUjMmDDAvR6/MueEiU/8Jqn5QUSXqiqNYG6kD+lUiMIurmjmzq8pOT5ljyTpv1MdvaxgESGvZG7YdtQwVFTTN0CdigN2m6OScsCz3fp13KeXAZxDBluFMVbL8CCce3hFixGh307hWA68mcIiT6+JIUFcJgbGa17UBezQr3WybGWhTlRTP8wTMIIFcFFvmAxaqYYuyHkOLHdeUEaVTgrGxnrHveHD1jTfKDVoxpjo3eeFcrvWmngVN03rMNvDB5aneMJwpH649d6p8zvmsRYg49eOKnTt/7CSylFKm6oKPiaiDmxidfeVEsdJU4Kqam5ebYy21i1ucFoTmfP1kjhmfqn3hlTQt4JlncKFhmtUV7Zk+CLurI/jqn4/DaYkt/SlIXV587Ic1gWfJ4xpN1zh/FiKmjq0kuaTNxqg8JPf2J+wAl565fmcLD7bNV06HOwrL06ZoL8CbftGBZ8UAdthqGzxdRZoMNti7YMZZ4v22q6RoIxHPZ0lXYlWO28i8NQxraq1MeOCK70kGCiJOuVZUF66sSdX74YR6Nb25lsSMqtWBS1LSf9BuFv13u+JxWiAbauSCvaLYl5lfzkRXKV+GVu+tG/KQDgwO+LIqQ5ZmO4eQ6T4cyKJq3wN7K27o434TFbpsUOd4J4XTrfaia/dgla0JbJd0P4TIGHHYeTE8YwPMpBttZ+700bfijSn63U1dQQqu5xWTH4hWkcVo3sh/Cep+M+gbznWsXJeUGLU658aVHb92PQRbzT2On+a4xAATt1pGeMT1mlze8GeAGRK28flYVEEnqbjWezpGBh/r65loNOtCEKZNXBptKlw7Dbs7rUeGd6OKwdOvK3TYsR0/MKq9e2UiyVHsmlwgb+dMUaTOKfuVe24wZE6aYlK+EhxPhLNqUw4JVTWI8mb/dAXRgjqwSxc3uS++Bd4g1g3YZuOlwOJTK3uGRKYQ87KnjK4MwVSHBwhqgmWFeqzzn6SlW605W6M9VN+9mN/v6NwwndOxTwD5j+D8XFCJ/liS+E7PAEHrjjlsfAr1TpV/2qxwLLOHgfKB3atiGICnlxkym3/zD0dQvVG1u/ervpZKk62l1hblqaNIvvVcjTdqevhO1ehPaoxwzqBRI870L5ZIVzuNryALSZj7p7xQEttWQAu7v28Ij9o82GnzXf6R+sJbFlp3Vy39vvs9fpV34kDvOA4DpzGd62MqaphrlNGC0WONhtzpNTu+kyBhB2l070+4Wj5QCqlH1oa85it5Y3MHJxhhnFtHT/b5ZjzJBdyOIhbLegWEt8wSUKslpsV8JKfd8J1bjeonjVioJGG7GcCS73tSq2j1nXGbsB5ofuEFqfO1xZnacfwrPjuxZQjr26hahWtHOJNlyegggmmiuFfhlIwEUOgRc4KErMNXZb34534aoz+frpC2jqSdLK6k7Kt+ukuoRwSH8OXhRe/7p0qlPmeOay7+tKhgoI2qZqatsjuCQ2Qzy3j/jjyBzK56eX+gnnr7n4IA671DIR9emvD+HNCUDR2AM/txRBHufnMKmFV5lWMdkSgUE7C5IjquVfC4ZMiwDUbRl+uHV0kWEXxaeaWGBV8rPhbiWTd3a4bo6hJCuXfstIyk3g7RIkZ/9h/nOq0fRcre7ztm3tnKN28Gygt6vOPDNNR24FwNDrdhIgnxRkAVv/r45vHnbxVwZ93RHZ7HrP+pQ0vHRfRqVeT8uVxJllMfn5GNaXKTHFFsSeAsmXJfIad8jm1cP8fG7Zx/vkVIz75YFIf+yHUx49xMwbD/BizCZBe+0Dm+McTUxFx3ZwS5eyYpWzdNB8x7oVsOj1SN6lr3NloLPbSf7qHRTMa9+yeirW97Z9m8Oi6Ujbxl2IdgK3sj69wBZMB3c2RGG5EcaBH1J2W/F8wNGfnlg78qq7REqJz2ihAdFy7/bVfCvtL8+A1UpO3r648ldYOVSJKTUatSUhw+Q3i85P4OtFidpTQ02rWe071eNEzf+OLfK4klXsDj41vxf//P/7MuRPqpA+U+e/9aw6FX9NHrHxgOH3wGSeZYRykTxM3H8IrOhStcB8nywQi3NqFWpzhpBHecRHn5RpIf19vTVb9ZtRon9M/ndyklSOanT9Rd+FHXST8dXR6/8eKnNAKywSvHDDzXl4uwZzmXr8aAKcpSm2XbIC9j9HtdAwtiSFnXhbemHTa1vbTWIU1VoXBneet69cnyiyxW9t/UyG4EgtHpdxZecbPtX2XgYqcDxc9upHcWPfzR+mrU4ii3cxnqV0cMogVQdXjv9DSbW7Kqt3D/1DjCzFl4u5z3vhvVfmOg69yRy4paKt9nAzo1dUvB2zjGjM0LL6kT3qHPbfG9JXLHaDDlDCqMxwDsW3CmjlqGDBDlJ5Flm9l+v8/43r+Y3bB9W9E6eXqfJqJsz55mq11oeqNIF9S4CSi/UOdp5hiWlGnW+L5l5vtsWbdDXS5oa3mqV2fHs1y152iT98rkJsiqkuSEfa99te3aShdjbvrV/mrgMhd9l/ep9RJfaoC0mPg9P/+HkXJubE59rPFA/7GlY+Bu7Cc0RssnL1paQQnh24pAfD1E7b+ONoEc4ns6ciRSArDVf0dl1O84hkgi7UgXkuh5S6ZieBD6xnHgmbyrQUP2nor65A2l1EidG4AI5nYufNCaVsODRkTULC8eHJ23lt57vc0f3zP5I8qMvIpgZ94q7erWvRvg6dbyMfxgU+2mLx1cCkgNuXMvnDFCL7T0lo8TVEoOz7+xzAzHT00bdtbK85y5oH429Vt3RIGdyLk98mBIKLQTT+jL+24HAC+VFb/TA0Xx5wNrkGbOvArqSkEKQKbLukOuB39Ln99B2nY6EBgHdzJ6D4tc3c1NsD2nX4ogDDBkBI9Kusd8c1xNJenStYUdvQ3S+9qeFVjvucXQTKSU1OoIWYtHrK1+otJeBxCHSUsNUcpfWe8/mhXweXfUPpJeui3kXcBFSk4GueZ+n9mBt2Xy7IkNGz+WueTbr/0z+8/jnP/NoHxRX7tWJJP1Kz+4+P1K8r1zBDV1u3WYZibU09TKtT9Gu9CPt+n1ecFgize+iVn90WwVU5mWc9+vAx+91BziNN/9JkPOh/L2yjIPzOvZb/3ioKOvC7yjRPJ0uLQmmm9iU9xlvXlXB9Mj1NpTkTOalFXsCAOkStFWn56cCrStMti9uARV3SzKI+rJlxW7utn30DEI4tYpjvlZ57Vs/kPmZ3TCe8rJuqynNSy9iSy4TkNyw2yvjRtw2RZq76RFfzfnvP4CYW5E0HaEpRuTqEdvYfGNuNN7ELD9Q7Ef7MiXwfQqIJFouxheZ38n/qX5T9A2j7z0Ts/q5MNcheS4GW1I5SUv+ed7//Oex5sea2Wfyn3mUWd0WapOIBqacdnIOuLxlQLjnfQNSJsYKNcsON43y+9Yc7T0OkjjTqqc9ouMV0bnwpdejdkzjLyIn0vqt8+h2xpMi/ln0+rsNIe4uhRbsaRGRKtthI7qaTnpPsUBgmS4K0NUmbVG81Xopdk5FMHr+zElxE9V/VyctJ3ZRyCGm845fOgCYiu1Ft8gvV5vSkZWrJO/Q9GM2eAugTO+LECDVEtRdUW47TP5mYq9Lv47Vu/5C0lykhRr/Q5CY9Z6oXD3vl3oy1sxz/wyb4UH/0KMaJU+sHxf9XwPoJimT67/fdR21h7SfRc7IDSXcYc8DgQnSP/YgVcBFYQHynzURk08U3vMD7J2P6uhGYo+ye1CYysK925GSt2ehvPywrru/E/9Sr1ovNWGz3/Bki3x3ZaR5otEzMhBpK2m68njfXSzwNnhQe9zV35pf5f3Vr7J+CVRkQ5pebPxi0sMnae4xhNeodCqLzLpBLv3erlzc7hLbqxvKecq2pyP50nPodKsaSM30hpmMC2ORVlujowhnocIVJfM0VOnpGy0eLenbZxsndYDgW1XX3iuQanhKQUpuv5TM9RXpwIrPlpXMS3hNk2AY8m75sgQJ90MRzvZDwrI901myE5zgA/ncbG7hVM2/pfGjq+ApZQIP2WNt90RAEfYHUwqrIHyBdqX5Pz/FOfyopiKLBY5ghPFd0dyNBWTHkp+50r7TjhFU6y7iapZvQIxqmRYtwbiHYUhSz9+QCAuK+Gmv+hN711oZ8XHBmVfZ36OZv7KrqOhMRlGttfWGsLbk+h+Dt8qrilTawvvCaM/+NSnTn1DjLtnykfJnRXBHy9cpLNkIqVj7kY4T3xkZcmilhu8nD6iQpPjW4vUQbtULRWVhA2jWhRrPVC161fApxa/hRQ342qNqfQlB5ENdraiXCOkw4yN0Lt+1HfiaV/E5xrcgUp8PbTpfM7/9sRP+jbpkYGtTcQynIVWaqi+pzcPc1H5FYCwPugHZpl0vKnXPscW+NKJIfqEnbs+HmsoRkt0fn6m263VeRe8qb5l+np9i+NHkZ6SdXS7uemS9sp52PEYZz0rPTbTySGRrNuNpp7M5nlDyZN5LMUtaG+2MasIZcjVxVzWx4Oo0kMflTq9iS4SUQdV9DFii5OLqfM230ok4dRFlfpjd3tV2R6O3TEwBLvJrp0PsX2ZIVJU6KHbq0aNh80Dx+F5UTpWCoVVZxGWhvAC/qBLEyA8anij4BtCi1aNFOw0WoAx2mdvJ+LH9w+5Mi2VGhPnNzKC1UV3Cj2dVHs8fk3934Tup257CYRnlxBuqS377d8xByttOthF8nCa5KAR2skdCEmra+saRhQ6b+Ip74UDR9oPNvpdTwdVxAoLfxrvhXVn7jl/SisWAyeEj5Qr8zzzQdYhKtCS7jP9m/mHTXyLrKvKDpx83MzHkmd1yT5jtHSbUtPVl1WtCBgdSRegaa3yyNPRm/Sbd5pFqSNLXN20QzUe8SaFFo53NbjGhHjD7/PggOKaOzxxnw+vQN9zp7S4e4dfnGhgKqQbvk4OHakxks83GKBO7UPebMPnIL19pD9xcI+LQLi+LHHOpgOIIoGxJXu9L/dEtXCWfN+2zjb2MHbnmkgMAUXubUtpQ30ZL5yvpEpvVAnjnvIiI6NHnL8D2f9/t84x8BoeKH93UmR51qJqX57HPCZRwAOanPJjoJR5tFhWlJefpJbK03qdsQw4Sts1pNCQjJ7/RDYaufi7X2oofrAfaCqBaEeVejG8AD+WSGw4SHMgD/h9MWXK5Yy/eSnFdkuy8ynrhcSm+A61Ewnjs54ynYnenj2X5/d28THJ7fy8efPnc/i5x38oKnZaBghTBhR503RFOoC/55UT2UIvwMcNn611gnlPy5nHL9PDkqRPw4WSu8uFl0Qie6TqYHG+uiV8KscL3I5KY5OxXWp5WJuO2hoqI9KpmJfLFnKgQxk31xBcX6Xt2u/PzYFhBfM2MiPw+hMaXK19fAw2eEk1HUNqWcawz5Z5MjU5YRyVTZ8ZCspQTI/3f4sOd0g9o6F3+LVyxOg/GL1D2tfatGPqm2f7yy0p5Hktst9E0XISt0SkJfe9PrlMXTzdSWANgiaJSUfaZZ222PJEcxk8bwl85uf7rftCWbGE3rcmgyiyfYwzXka0QoDXkbPoHk3VhYVNFjz5G+bxD+jZMCdj0sQkQOHnUC8C6XMeR3YbuOKN1hjnIDzyq5kdpMERMM9uCJFdCGmhWIaBbSbbmG4Cm5iH/FrVnzT1TPbfAEhVoNbYex9mD2odiX0mzVcmKwv1cpKTk3fl6kjjHZag6tpnHyu4E/FVQ04M/rfTHyrKfkxucPjspo19O6tI/74WCvFibsTq2ccQOy7BqAIOzbgcYmUZqsOKF9tvWkj0Wxxo9vN7MyJPnHHTR/Wg89BjzV3JLejuIYLE32Xo6qlmms8tdGv4nM4pT7Yr1+HEn6Kwu7NR9MN02BHQiM0zryRnvtpUznbVFbLDWvMKAU7SaizEIvooxCwISfYFe8aPgwuJHSp4108nOTRd3UFLEwUSvRvMwksTjOrHamFJqSyU12+iCwPYTtiC0tLq6jxYrK+YuBc0BCwbMCwBb+Mk/IVE31lNA9aCp2NLC5cs+pX2NUp/xyUFJytMrVwkWcbX/d3e1WtD+fLP8QA58oI+SnG3Rmt7Ez+36iOUOdeipI1Io7ROlLZI9fkpRzbMolaeULbEcxN9nMNkug+Unutnk0dcmnlHEZpCm9mLT0iAyyPpElboagTLxNyRfxe9OrVvUS/2wAPN6H+E4q25lTm/GAuemb+rNyhnm/TXStEugPEP2WssLS6H17Zm3hcyUT3m+az2Lel/jelmj1SQtDY693Gb1IdAtgpqK2UeKWWmOErZEkSrgkMyof/LyplhITmGtddbtqB4LJ5/ug3v33tNVtHrgiqiAkrx1nKFwZIJy5cmU1OaR5heLLBbZsHBKKGKu2C+BlYomp1SZ4uksYXKalRiImpiRfQX55WHidmFmjsvzNZycjzXbU2n2aDrutK4yfrPqAAweO/7nfAJ85tYxdtJ7aqJyBp9JFeRNrbaw+0VvwtnyKxbaOgiFbHs0D8wnu+1aNeytCOIefjfDHyEU9CfgIQuxBgCvBhojB1oOdjPd9T7HMztmF0GmYpSSDIDNz+6r6L9l7BT5wFsNvYN61tA3PJ7X2XgnYc2K0zOMYt0tLlVjluUrDgsbfXuYfEZKEhMOVcFzbvejMdBYUu01cNI3YEonpfhYzAVmT9S67S5sQQq1HvCeiYWrBRNuIRm3QFh/f16e8UysB/efCZ06O3piIyB7ysLDp7IfiSjAbwFwdMOvlHH3/drPnbCKfBSP5vNkmueRTzwCWlbfRFEHHONAe7Q5etDMDHWowFI3UWLlPBHKwgs4kErSC+o5QUNlv0+ak/akhNn7QR1u7lABHGurHSiJV5af2akD3OXtjGdmccMIt4Bn5hZgM9Fn29nAXyFBJ/n6hXlzXdrEdW6DE2s0DeI0r6LXfj42a4V6pMR5ETzQ5lg6ul/AypODx0unXSoLosjfcKuUvwgtPe1951J/9azd80YQVdyrRYUyr1Occg40YZa9mvN9k+4CD5JmZhHa7a2CDBAAyJzKccFpI1BL52WSdmzQLm524ELbSWkp8CP/PWSJoujDWDkNnPyZ36TnoR1maV8CeYficmyJGq/hfhL74fFCF41pL4g+wBLItUPdPH0Dxl2Vc3/0ZOhyVq/ECYyquFQ6RYGnyPhGehBRLZ0mRoVtP341JhIef8nJVXsc/qtQBcEkIMVqbrR7cYTTNWkk69F4WcX6edy3Cnz5n3dYGgNVXGyPKqU0EU/8r0cjqWuTSUMcsBoG+nkqOB20KpSTj239tvjlL+gSuS5KXBkI+WTr69amBS4oZR5O4loPOGbzSMnAy9Jn6cMyg/StON9GrykEL0bw8YOiwbZ32sC+Z0PDk7Xl34LAH6awH+MF5WvMTmsVPZ4bEWvf+h8U2z6XtF56KblqP/e4qytLoluWw9wS2608g0W+5PeIGJ7xhTPfIMbXXuI5D6V0RW3azKiymH2L3sEiijlcmraksUrDyepbvqY29tLKUlf/gWcyg5yv6XSftPnAZ2Ig9a+lqvUfkxU/D98hsp56D7/XNBpxUyttl0qKW/nMurf0ywIhTgFYE2OOw8pwlJwFQBWG2XrxCpt30VARiPb6D3GrC7cY6pCIk2mP/2jhFKkD/IyMZVq54Ae6ZPZSLC+sQpqJ6ax0jKo+9vMVvX+y2C/3cE2hHyFpqnMgzFdefCC8h6T19CvNPK5bKGfrLZOX6m8Q9mzZHZ/4elZvVlkU+WlXGWTSBWzKjOs7VP5LNsI2/t+t2o+gBwpZqps+i2yVSpaYhGUZAsf/Vb5xRxbKJq6Zfz/sufOWf1L7OM5jGJ+mq2oKi3OlGXn3jppvMqlvsTfB/fcKKksCQcNGi8jpmsFUgJDKNTYzWv7m3KXOrn6Lbf25FYPYhMGcMIYBRTFNlh6Gmxoq1kgrlNP8S1RzSryanPavJNqqcZP8kjn81kydy1l8F0vt0M1+qgIR1x4PJrC1kPRO/qaK3B0zi7JN76t3U5M5BgYoEsnTxClC9PAChxN1OItNkrfRR6NMATqGJcXsjKJtGx8VHsAK5hFKJlO1b7eMq7rBJKPf4kAYV/blAXS434RbTgUfWQnDQG4qtPkKtR4XEz6ra5bw1UsidIRseLn/2wh6ScC04UPUYXVh4VPPtJobwNjKc2B7G6nAH8v9EyUJejhqjGfvV/ETEE2+XLfc33ut3AIUaibgAQZoeSQFs+YFmsAA5tBvlX/S7KP9XdEvKmHtLJsqhgJXZY0IEMcp8yy2xlt94S24puzDxwXpLdFEa00Ffno21yvz6PFD55H479RRlKYn4HnO9k3K+5Lc57J/Gfw8c2Fa04CcVg352k3XogO2V1C3X/ViVVt8+LcVT5zxIg3Yeh3dcHi9bQ1VWPKzj6+mx6RkMrfqpwmFTIsFuPyQFlz9DELRQvlBHsCD4a9ScOd5r0Q5hP9ZvmWd9Ty9QeI2l4bgadNNxJyA4R27IzddErenJGY6pb5qtqV36WhdMm9ZyHlkl3L2Bt7LdHTJff9DW9H8n0yY/jXlmND/pgmgXFgLLPnnWok9eP6olBstwaGFd9nh8Xu1hSgp1FCmFEaElQslwoKMKTDG9E/5ODgQ7jrJjtYzmVLcCDkSUj3rUmcQJdGj/EgzENepGRtyypyXH+GoI1Q39tkJwaT2DPu0jJJqGU58WorjylVGenqn9EAj1oouN5H2o9I0hubXm8b5STw7LE+6J21qNjky8j33KBqXiq/xlievneCfuteskgz0zhWcRPaNaG9xF8NyIdSYCg/B5WBRjDBQ1+yhMia6LKcKOnoASlKu9vWugXHM8R4BqiApX3DnXlAUH70CT3dHwsLQPT7BL/UvTI6wovM16/6Mx7aJDkrJ2sxVb2udW+ZhIXHWdqT4ibUEYqe08H09AqkaNNt/e+aIAt38WYe79y93REyNcWzLJmTxMDZRoTmiZEa2nT4fvCtmeQhRYAGqd4A9krD0FSXH+LRiGHuin0vp+DK150NCBCF7tP5WVg/58N3AVOtlsEStLSoJbS2nX4LaTTpG3zPuGOhI9uzOPCORXHZFzz0ltoBfl+XaBGNSNeXUrWy+mdpob4zAebUjoaO43d4cj1fa6LdkMz/bFdgrbRwk6sjgjiZ6iTz0VPAp5kK1SOq1ZSaekt2vI0p1/OYzMPZ1mswqE+flOOYLUR0he+QdDvBFpTaFHOkTm6vKNHQYExZVzpFde7mImRYepiz7Pd1RU0jtVJTfV49DJgPzP1twjIjYVhZWazQuJdT6YvIwqZxyjrPQWlEDOCCxI31I91Pm60kN1O+K7bfe621d04roFnV5hwHjLzw+DQgV87R3oiNI1EvvqeYeyB890pJxHCtPLd5+DBk+EkiQc7jRb6SYEffoh7R2NmBqL4X0dnU77ys3OupqkmFVj7Hi3A/o5D2uvhQn2UJbRYWo9HLUO8H1cZDcbBS2FhL+2saqnfzhSdnXQko8ugqRRZQl1GhX9kOOPuXsyA8+DYzW3BM+XSLMlPCG8ElB5lr4OWUgISriXiA7Kf4nWsHALmSE/rxb7v/7Ch6pssMqu6S2ldji6dB5cySMWEd5ODAEgeGg/VkMe/3U2cbHB+bCZW/EMioVrwzbX5a/mMa1UsOdKcdN/I3Mdj51lqrW16ubQy7/5HGfoKRodMEEclbXK8ppB5tb24+NsnnwV+fEujje9sN+kw7maa8Q8ClTVcP7xUMZxYMrMoGyexYWkPJJbXk0BXSKTbqaRY3j412UOpPUCKLQKikxUniOOKMozg0iaVFLmSFO7W+QeOIi2VDghlMh6Lt0RGR8ig130/VMD5cmexMAKqMG5VuMi9Bpe3qwGuveM7Jjr2b5U8+jzWu9ac2wheouis9VSXwgbFDB/n9jNHd1aBNI6/L2IB8xkM3mdQ5VZvwYN7qnueBNJd6FDSehPbdLH/czTRaQl7Zimrb4afddWt4XrsdOh7Uw14ZJnaUL2XSYJLbnl/jTtTjjMEbI8xssnwVxkZGemSlTztajrfl6dFkd1ESCn5z6piTOTMbzQJgl1j4dhNnIelZ7cfrhGkeW/yZaTWRxq/8e5QqO59CaUrvlC1IH4aH6uWBPh0VzqzndsWrM6UpcsUyh73auGO1XnQfaHILcfRXjGkzypp98fRR9j6KAHj7NM49Rl7fIbl13LCBPl8mZK7eioOLu15X8UEZ7Z7KzVbfiMEvtY+tcLCbDIWHAMFUe8F1NnXP9J/FLtx+Dp443Z+G5uhTsoGkhFWGGCKYKah11Asff6cBeJ22r8y8zgnuQo8nqGsMjfCrUArThHf2PVMADWURaIK7tRi1cM352pfEWkTfnEbKtcyNKn//o/HmIenI1XkjcyQqkb6LslIVP3ne2/pSj3SFu80Su9GT13wDFXZc/BBPt3H97i6x9mYh4kUWS1+walVFkSXqLdjjUqkEO6tuM/aMMTVJ4DfclG6A+LdF4nqvkp6GeYYsPI0g/FSzuQiOoWcFqV27AD7zEovGoRde5Mat9XswLxp+lZdvQIZnOrt4zJ6ivFb8MpMYp2uK7V2K63Xy3VWvMuMY8VJ0j+Y1uCPuIfWj6R8mOz19lyPwvhboFpwXDlGNs9+M20MA1Zi3MRIhMkEDz0LZtaiq+z8pv0cSxBDVWa/oo/kfHJbdLnWS02p3paTXoYlJW473SU73vESC5KkygWdDb8ejKzlCqrrbUMo9KBzvJYnv40220g5FRbalZz3V03PE+D76Ino001Ya3o/Ubr3Z/HbGGOusnm933l17ue5iPfaA4014O2GOYZ9YVrEedR+n5beJPpDzThjHxh4WSzSFtK1Wm3Brs6NheQYvahXCM5hFVZfsaJXKPr3iplWvhAQ1H0ViYVOzDe9fH7AIC/+PuAX/uVAfFBP3a5wGh01WwnVjT6fyrfAnZSxA9Al0HGXm5gSR06MWokADcW22NimT1qYifMl71S8mV9EjG/Ly2bjV6MzGfYhNp9z0WcOplTo2lP9J3wTKRvK+GPxhLbxXrxgJImn+sAr/BSILHMkVprxEzVqEEAcAxRDRARuDQ535Wf6q1T7VCX7BLYHci2AgLT2sHoil8SmULN2tBECID0/kNfJVRzU/nUVoYMF+V71GQvdrTaoxV+oloJWCnMd9R8ass1/V/EwLX7A9w3og9lZ8BzuGkFbriG+mHzm7u2LlHX61XeqxJh9EWWKSjIDnpytyNSRV4HDVuj9pjyVd+9geOUn7QEpL59iEZgubBvHLGD3U8ARILlQNnkZSHSZfJl6T7i9HXrrYNj5ZEbgrDFKLzFH5Xr1PHBuwWsGjS14XKqGZwVvLOxVipodmijRN4FJmOAmeMspGu6jEXZKo+vTfwCqIiFS2bbDaPi92EJX97w0nmv+TA3trwRRIoidE6Xo07DofvxV4EIiWWzmv956Nci4AGAojX+BjzPUnzTvUQQofeVMyhLqvXvM41mY9kkhJtfueL7NocKkobAwTjl4zKCY4uFgDbK1HUL4/7Hn2Dr1TX18N9zx1sOWl//i3bVGCtUpbqB63Uv3wK7YlpL2NKhoqOk2mJO3zovSY0t0Z+C/JeD6hjV52h0t+hJvtUnL9l6i410z/2l2bK0ad3jV/MqDeAAXDPyp0/BcGZ82zDDXNMAVTPvLA7Ciwrj8MM6/5pG7f7gt/5jK4I4tTUomQtgq6CJdNdAbvs5s5StdAnn6b4kn7iZp3jaHQ0RVbe+G3uju8QZz8tE2IC3aNz5idGogKnTpiEvixNm4fr2OSAJ3aBndlcQ52zkd68fKV8h8WJ3uZd56vnoKPTB+/mDd4M36lD9KTdfrC4s3Zrv7AJytk7dsghRGsQGagZuuq3WJ4Jo1i7evyg7F+PpMfP5k0XkUSd4zjsqL8q0fdAdg9ylCTc4h8zOgAJMcvtv1WAMCR7iJxwD7FLu+DxiUkktcxvA46KqXPCNzvmea2bhsijJF51JkjP8+gmp/oueAQdJ7q2kAqQ20CiGiQSdxQrXQsNQgJlVhBYdgOxjNwRI7W3upKf56nNSTU6aUHPWOZbDkK243d3YRZ0SmUamE8264fxEN96DBK1+S5v49GtQrlb8gcPqePGSjb7lDi2hOe/vjCmFuDk1hT1bKZCBWtxeVhYq9gd8R1/uqR13t8EB9RldAlGcmQEIsQ8Gktvyfp6YNtvT9nTEvGTQ9t+Uk7G2bw7G0iElVSHJPmaGRziEh/FaXP/+I0JPTdCkLxxan2mWM++ZwwpyVBpHbag5ivjpM48kFy3kxQE3AGQUUffpCZpVqOwleCAaab3VaGeLB/VVRIQDvT54ivd08S1BXO2MLlq9CrN28RI9ym/ggsb9oO3oknYCqjyHaROSXkHM4KOrpOBZp4SuPTHs90xVVJ03prn+K6cj4vYJovq379euRKkOLudtY1wodWxARA5Bv1yRFr15iO5ptA16a6K+41ciHzkQ+ngkSkzqQGibcdvWxSnhDXF3DZ05ES/KfZXvit46hICGcfj4UyQyWvonGj1hLKwT+fVCSxgs16xTLQn8SJbwcw4aonnVov0NOKZG6KGxqiWnGT3FnilVLokD8PwPjjBS2vUL8rZo8Q1n+LaV/GWGGXph/i03aOoCzGhg8p10tVmR7m6VbXlAxvUu3unp3/seD26aKAwbeiwOtoxHdjR0yogV4mUND3+cU058LyCWOL5QIm+b7ZOjiJ3Igkh23Q6LmXyGJ8pR+wOOpjRG3Wvpfz+jYEeELjz9cZXuGSUH07YHAYzHcrX/pXfFN5T4Q6RKFg2WvtM2EEO+zouB9EOWXql6s7J7x8ZCcO/P5JyjFwcjkE0b20oZMXvlagtIbf5oLC1khldohmWmNH44x6PFkVOKRfcGWTa+BKe94tRsLuqDzqjQ4cXV093FG3ySKMHqL5L46XH0WJFQ+RvYlDXdL1puWMJIB4SPfnsKF70IRyYJ7CwC5C0zyXUin9s65m2KECTpToInPy26yukjT1pd+5uHCdbUo7AVPsfkQbKbifxvugbvsM1YLJV9HxtAX5U3pjWOReJhocyYeug+8s33n0Ol/Ojd91RP1KaPTt13nA1EczVR8B+AheEg+SydG6e+G2GeILIzdqtYMU3ZbDW7tQjMtngY71iTEeAdFSWR+/sGfd8rlFDFWH0VpppHvTfqyOl7NM0iLYAaI8pijTx//l//Q8eXJvIJiI3K8TqWj2lO+cm6qLZ8pM4xEx2/dzs37adG3uyNR5vYwAcIBeT9t4gZ9+awldOcMEhS3yzrHn/5IwSDfUcZZmF1Jln9t1HNZzN7M8L4+OGe6e264e1xBqB8Q57cfhbnrnbX8ZLl//VSrX4ABa/oxBfPr92zlemSt6EZDVKQT5/+LoXlrIvzZ3QQvD9oXacZatLjOyS/+3CSoPv2LwJ0nr92FvSUvtoNhF+80+BgdbLZA8fu6HE+A+FUMHYIC/imefNPn7fPN5gJ3TNw+ynahKLWLLRE2+tOq64xN+3Psb3OrP8Y370bhX3nJhVe/7HXZxUqGJVK28AqEt5Gzp8HVfBHqHnaqPnzfrV2O8mqHX3XexcWfnl2b17scG/6LX+0hqX0FONU3IqHm/usH1npok3v77NHB2zkEv+0K23rXo3U79pV574phXYotKvB1d8oXSVJ7nmSL523IUurq2e3f3OcSVpq33idzRfVcXDmo588OmpNTBrcstNF+5QUWKs9CZ+PFsSDR8/Yi+f28k7g0Jasmqkxjg8Ww4+5Svot4mujdP9x4+5IsSUmG13NiA83+eWfAYUpqrsbPO7orq5AlPfd/ToPYYH4NWW9uKP10vTfvzhk8QzXc86g/5g9LV10RmoxezVrEACCJOToRJNyTT9APPmQ2S2Uw6DYXPk9T5+h49E1B0Fa1Caa+tuPm4fIgWxfKP+w5jKGfR8KtzebiJnw10rEqrMt9xJ/+InI25H6m7PzNVdNxW9RD7Hy4vlWxY9R4rzwM4RYRG28QFqkyId2I6WMceLLVuCdyXv5tGlk7eXTkxE/sfz6p3VW4owB79VaZX8wi4DKmcQ3NeESam/mhL7serFOyomRNrSJoa/b8ejQPejq21yzajpF9Be7+5+974YhYDqKHuSzCfNIrk8mfglHvSRib6sb6ELrSj9k4yW8AnWDnMrU2y5b664H/5kDyc8/JnUdMbb9iv5P7Gs//zkP88+LtTR1ZuRsA+bIBCKr9mzeemBnu/z1xziyc1q8Q/d5NfJf7XSm81qZ9wpPdqtWMW90o/0ep4bm0cxU57qi2q93C88rVdV4yZ/l14tSdWu9lcXuripKVxhTJe/VV6FZ3md2ucYmTLo760Y1xcvOBn/bJRkWnfLsMTphgavh/3Ltfc0pYt71LLx7VGhdEfokn/ChyCp1ZbAslG+itUeFBeoSBq/UMJqDJ5FJd9uExuEwKCN3KGB2cS+sGgGcwYiJTU05ITah/6WedfZqzEKMV/+WX9NrJ7RdlhbfnLg8DbZlwmMvG9kJIBv0Hhfii4OfPvWc4zGHmoaeX70SGM/D7Mw859HbRfc28N9/kPFRyNcX6QhdtrFZekPbaywcqrC3Cz4nbUf7y99o84sfhotDtql6UtyNA3mo+vcVnKd8T9ZlD158lw1F6km1Ydfl7zfEQ7fo6HXC5IsbJW+7cm6Q7etkIpk9pGau0oYJ3tD5+2KkUGn/RmtcM/GhZtWJv1QTiCKgMklmUsrkrXjzBeu9Zsw7Zh7IzSkBkKL6xo77j5XAJJC9zfXDWmEZMPgtdQmGta2wWznkxzx41S2ys+P7RYOVXqgmdQMD1zz6XPGtdbM2/hAqb4OkwmQX2FwuDMGUZj1Iu3N2uLL88j8YUD2gfKAUEF6nLzQu3RatceSAvGJCXZFAxnsmQpSo6s7qsBBSO0rpet6/1qjzrHcc21b032Eripxe9wW57Kst55SkWS9yLKOZXxSB8GJpm8rq80vg5LJy3qPvKqObhPNbs0aVKsh78s53PKE1D8cBPNoZoQ11x5m0qh6PM/O05vAN6ejKOVG7Ne3rubMCWlanDngl2VuhNdq4qcLJ7djqSeG+N752wPeOqKAdEjcWz1AZdQHnWN1vrMiezNo1LJiL7KWeUG2w5ud6V/LTPL0cDzEpddkTB16l/w4I5b5NbVy19qCnpZERLgSM7DfWj3NzBC+Hy7skV5KAE0aqzjGFe1b2p37bCo324IYXQ9fd8R7vTbRxXE+FizDWJrKGjgeo9F5p26rZiheZpwJk2FlMAHLLef69eEZXP3pElcqPlDbUSXW71U02719wnRYPYKcxolfZ6J0191nNlN+vtsxPkhJsj+3g/tlNuLOJuLoUhuw5MoKLAzefU+q1J9mma2x91mQeWfPKVkyzKKaBBTbu95UZXWxom0UChAj06G04JqeNVN2j0u2Yz+PHL1TqgNYarq9behgK8kyGOrGlEuFueL7QghL2d8GdkL9ixaueyMoZ/O1PwroOtylnF+eD+UB/dj5B9B+WaDHnX+Pmjstk1vWGRnWNYClJ7T8xh32MbOJLvDdurFc/ZwL2ulj3jxc684QWd5yFCKwbpxnmH7IC7M+r9BCJauspuz8JU+CREuPij+iRO/MaCvit3ER2nqHX3x4TFTa57DHs+OZh4qBAbnd4GgzbufwulqMD7YTw1uhUEc9UQcAFNYNu0haZX2I+0V00QNM8EzDsvXM8zWErMz3K2cwmjmbPqTe9w+TH9F3kcDxt7uqVFLe9zBB5rqOPgZsqGTwvVYvZq5KBae05mmtDBbhA/hAYjA9gN3rgaCrdu34m9s95+OCuMOByLrgSGI/KhAkB+mx7ceS1/U4As3tkf4DYIe+H7zqU8KjLffJK53b+67/IdxBsBVzE9EsvdG7ZSteA893KX5darx27p3RTyWCNd3dHpYtVWoq4N/NZle/G22a3ONxLedS8GEIs91vNHCz8EaTlVkb8Rl4IPj7mlzzRprdFf6NF7tbm5aMnWFsW41haPa063mA4uSMuYTyNIp4IsIhrMTAOrM7N+saCY2YB8Vs+Z8CWl8bodXLVzfTwnEDtiEC8URSxFbqmJf1vin0ddZbUsJx3szbVQsZPVRASvXf2ffZ0WrOK8J1efxC1VXV+7b1slL85Gu/Gw2RO1okoaL8KoGkTV/rsESjd4vjSC1o3/xz+y/dhrZtqArG2JfoJARqF2jFUM6fOHCTju+1XzUtUInKNWSq58Y9kUVesInYVmK5ZQkV1yV5lyOR7kllyk4vaO91NuNawjxWpAcHNtY06hwTlETT1igHM148FS2Om/stHr/W5BFaeu2UNLi8KE5VrrQqyaXay0vjoRhoJ+uh41T/KL2FYH6t7GssnTyZ1Uuwel+mq/Mas3kina7MSdeFPWRvrPs4tc8PJDGQ9+5rTkia3gu3GsI9qVz9lqq98lf2bt8LslDQES9EYjgh6ixoGTOqr+smNzo3izN/0hdAjUHgQs9Op2vz1NmSSKHtsGuB4aAMB1o0zHRVnysuC7YUS5pMj1REfa3IIShqZlsSFkxHu9xofn0zZYtlkarE5acB33GBIp68ZS/QqjrCC0gN/j3qEA9dk4P/JBjt34aMrNY4UjQ7iDhLCZcTO377cOf3cwTixtvbXMi9v9Oo10OfdH0P4PozWvp+LOLWrxqXrHn7iqoWnIKX3u2UNlOwaPlY8/6wjiO0Ad/SZt7IeZW7noUfsrUszGYrBQ10zHUv1kGDd442s9mbZOBNQ0NNM0Tsn1UqJTvscV8A/Fwi1WaHnbTRu42Wz2Hk0TIKP5ayq7fDbEd/EQdYD/BYOb0cbxA+pOF41Y2BvLLB0z51FSWjRhd4eiTRafisZyuZjq7e6TFcrbFPtUt7rKA1iqTvUjq1HZk52Hm/5xAfVUzGg+MEH4Q7L/N6+MCJwdsKJP98IyZXeIO+Jx+FI0/9tIPUgwv89ovlkmzLkuojjvZVL+5Yy4wdmqLQfNdmf715XvnNGyDYdTir9aU/vBpiSQPCKN56Mg9eA72lMINGeS8njxK9C5vUz9JMfamyw8jtCdhvpOvmXBHG3RAK2JlWr29x1CUEyfu0WmTMd6KOLKxuxYvVvZmOKAGvcpfzdt8Axd1GjM1kxfJ5iJwryIAVW3D1UDynOFvOq5YWoXqzIv3u+8eCYymPxbpcs/9kOOeTjOp6PS3oql/4Dv6VhemjVMsOiB023/rDOSClKBsvYFyJ0ovQvi4zWpPx8stJFgz1kAr4Opjxhnb4yZAIrJH1oAeIrLwrLRKCj8YuQdUCBd9zXy495vCD5xFiCMiEnFUdaDVM6sxKM4+cCVtuwYfmkkp+wr6X/qSFtuRB7jeGRLLXvJqAPFeVZXAHlSTP0R97DgVEABTO1H4kVMin98g0qDFFi2u6CPRtUFewkJYq4cSSFfPAozNgNBs/GDoVjoDCjpx+qIOnuAmisENPalfRbN9IZSxWo27AcH1V/TzEoy3gYQKgCieqycRQ+Ov4tkjEs71MORzH3CSvfZQaizYzqBzZW7PSXM698wXe4GHd0h4/wIaJtX6vb039ZAwlGGuqMAkAQ3oayaOR9BZ5g1MNZ7fHdzVXZW4VxQomeWI9r+K8L4votsy9yVfMRJXYm+vtWLzhEhyHReLtvIv+EpMdPZrvez0PReXwMbi6kdLlAUDJ1lij+vdGSteVMMEDLNluJb5Cg1Zw9INVJhP0Wwn+X4yDYP2Y2zuvA4q4X+0rShsqHemJ8n4J8g0T5G+TIKtewF0UwDkKDNBJGDbyzamMx4eOfRA/rVF41AemHnWQFe7vGsbXMUB21kq/Mhs4b7SKbqLsEfqodVnHknxPWt2fVYTXP8QJDz/tEkoBYCmCC3vE0VlG0ptYvL3BjSx9rFI0kxfRsggdISdGcqZjJ1FIVfDsYAbUNhUo+j5TKyeS4pdImvf7fnVT0PXGaSkxZEk4sr3ihfijOzJB/+QTeR37uR8yKvlco8KCK5e0aOwpmZTYedTFRO26NprSVaQh4BoAdZ/4ERlUVS4xoPKtd7G+Q6XWltZ4H8u+La80haenvn7J0y7OxQ9zhuZst/hlwBxUR9MXcIIE3fnQOR6xS81fEFcvG0yIlaKB1fGg7K/QYqdU+4Muau+QePHy6IHUUkGeXlQ27Eer2Ie/8rd7CrVclDepCNDuSpw7cCP0wyKf1NCAoyfSHYXBTR4VGXCVtezxObs/lwx1nXAsN4P/bW+Z4jOO4BII209QcECziQr74Q1KV6RxSOByE/7FJhWHQtq49fUDShoWJV/9+pB+rbvjOpb34Y+MSr+753glhOOFvikYSmX3yniOC7vsiLy2XMhjnuYXb79Clx++2vWuMN2lH6B6KgenMPbbyNE8Eosm9RHOqr8eKJnJMiAGMerxdJoGrIF6MkkehhrqPGppXoqbTb7Ti+quwMUUBbr/3Z1y05rVZkLL5Tn3DvCn1EZFY846ftyLHm2TBrNCI9sbD+ym4Ph6BXF1GZyU2yrXKew0D/CDlzcRAdiHWmw/7NqBfYIGdo1QJe0rUk8T7zD48pwKIq30Wj/aX3BvB+Uwm/8hiuUbnnEHYPojenttP5WJq8IH1aQ0Qfoa7zKyPce7qdtst6ls00mcSNfuP5LIyYstt1Xid8olbaNGQ31Jlj6BC7+UkLbepNMi9qyrMlXbNOlIhbT55Xe/1FvzXIaUFGYLva+vpvJ4NJ1scREeQyNjpjKutBy/TiYdJsIB8imgkG4XDwrlAUyqQ79HKGiMW4bylY9tBNPFGjvOM1PQN18iQi44DCKt5M9Sg7ZQ20gz+hyfzXu0Rgw4tDjrAejQyvXQZvQ5R1F1NJ9+0EF3xooxWot+MtGiZt30nTfZfV8ze9s/reZy5aweO9/LQJ+cNycGAg69u8fgh9MBvkrBcaIHS8w753n5Td31wh1MgR7wAvL4aBXqh7mKuh2adBBPX3Z8Q1ef2tBHTUBcyLb2CcJ5P7Ie+eOK9JENgl/n+DEr9HUB+WQVd27T4fXwH1Er3PO2l/0ngigrfOuJLHKC24DQJRTzDp8zgbPk8jyFdttpKJ61XhkgvbL8qMBQQalrpkqpsxvtVqqbdr/YgbXDfUUEr60fbsPaypu8M5aeV8/i5ZX6/7QMB/y3rXnRozYg/dkr83Yto5GRn7J/NQ/z68xWqFao7vF0RbCjV6fgL1KPtEhyxO/3hztvq20vCUdjo3MD9altlpek3IAi3+P9p9DoeA+dg+36C62NP+G04Pn8YYszUf5dCMujc1xID79udqYoVuuK0cuoRAdLrjHKg+hBknFQcZfLTH2yDWsS13f73u+VGXwy/SmTuMubVHVxNz3ztIW7vSNwleQUehpIbVBzEeJtibHF+GRIvJhPvN5UKIsIVAL5+738sQt3Kg8RybVtAfkCUwt+I5xz3mTOjCbWTL8BHPGkjcA9/Erh3+RoSY9ZIsd3aSCkhFrZeaLSnLztuY+r487uVUlf44JRYtyLP37k+64HI6XJ7LeDYPXqGKx1PVmISMJ00P0p2MBBW3F4ZCjbf2iB3vJySnuwKhhQitqwfWzOurmxFCvYrut7n0Fc1/hBg3DImYjbPYPE0dUyfG7GUq1P6IypW3kunT3lI7ojkOveSV78B4lumqcXiS4fQXmzlU0wmNK3MYuIW4nHnCBSbfSRnMDZpBM3vB146Mf44rwwcDOGqOGPtFQ2HZdWh/okHjLKjFyosnI8o5SXizBUTc9m81oZom2L9ptRITAcwXBMZu85XojTSi+9YeXcV9ErO8/+cOhZIMK2rXfdlAu/fOmmnaKudGlPRwdCSP0okpgXxJqbzd/5brV10orb/9KzdImRB0JwnJMK9IAAorgC0bKNtVaUVAQ79aTZXomPVtAkG/3q8Sg4jem7BdOHJagIfpoY4O+6p+w13vwUl/DYpZxxKexBo+eqgwwcDey1+o3y2+fqYvDrFBz2i/J5ElwHRMyEuiEReSUolpOB6MnBZHniMXsUWhMf+id5SKOzkBJnJsrME3HGFQysck3OonkPtlWt0A8dQWz05+2HYZs+/Z+eUSeTR9kw1fE60vNYb0MrTRBJiA+zIeTkL23Lzrx3JSuDSTsVY07iRHq7Xaon8Ba0O3IG4VscJFtrdOo0K+w25Xpzwa1wKjgRdjheUD2PntKWo5n5mZme3/J1LZKGjWmerb0tGBJc/LeDvSq9TfRmsh74GnoqI6yB2lacTmYfh8ixGx3LDYTSdvaUSoEN5R4zGVQ/RsJTGO74fZmYHjoxivWuynaSe6zoVzdh1ftEtGrj/TlAaMt+0iH8UjPL7x7oKsqtmsQ+Zqy0mY3ve6RBI8fU8e2Ga9Hq7cuvpBYlAJMVXtxTXr9JvUXV2YSSfcsCZhzh0Krhkb8az0OZ2crR86qiuiLpacG6JLSCNF8wLU6o9emHwNs9x5gKh7aGF9EI83fcyJZkEp1Ri/r0fYjAndcEFFEOKbPLA5JEDxG6LyfTmgi/J+Cg39xv4xe/W7q3Bv9+HlotMz8AEQ1E5FOTpcoUaiM1n1whSw9TM6x2846yeqeUg4OOQDrFzJHG5ZAYqK+Xro239CvIYyYmybIfQDuCgDJ1V77WbIp7t1PyxWIpqsNJgDqRoRVRHd6MUmVcm7QFHBkz+nO74AfleFPg/OfyQCkIF6DarHOSkuhN0rW23kHoJuRDiJiIC43QlinJer+K0w30yz+zp+lIwDE/kgZLdX9XnnfPiJrbZY2oR5jj1FhezejxQLZPuQlZTDhzwe2HdOHrn3XsbnpQ71X5aiHiNFeKZkqfijezZsg/b4mYpiHrbyI5BdeOdqmLTh9Pev0rDxH/uX9J+ho9Kv8C1cyli7JT0w0pN35UNEG1nq2VhcoJX1YPkUqxn0841k/7Pvr9h3Qp9kLtdwiM+agSVyjtuuGygUkNfs3OmMq1zmozQXuCT83SwVuZmIVMvT6C6QSTHaeMvGrj+1eDlsdIYmzFisElVzwCbqyaTb6hHxcVV9r7B6NvQk2nt6WcVDC2qvljQ7a3e1P6URovo0pueBbEYJ13qtIGi84b+W/nWtR1BvjGtUFHul9gLihssWRQkofnXigce2pmEnpdPVPkTUmart7GWC+J9GA0CEQZv9Gv9IvMx+xtY1Vito7YhMa055HalWTOUU7wN2ayY5Udmo6TRZM/j6+VdWYQmmKcpLCZk29SG9cueGJ04oiHtb4rd0Jlspd8XjFR9J49QvGgn68AziE60t1exVBweumjGQnLMLNzO1FUu7yI168ZZ1ddl2GxsVgXHiW5F6G9F+qYXlOFiQpP1VQ0Md5NOjnFDxvrizJZyWxGQx2fEo2LdrBsJ1mrEZtv3t7ZmVjKCWPZ5EQO31d0R2ZIPzc8V+6rzwjhhjbQvFC1c2ee5EfRwTG3luXaS4LpsZ+/7sZ2EI4qeXjGZSG4m4qnWym49MqnPuJKv2qFFemhkqF/sE1ZEaoOdnZRTLUWLZZBJ/m2wODTjUNPynvVke+m0UzapwSWPJnXj0XGju9n+wdptqgfyFrbEZZiUzAM2+gv0PvxtONr1cAmduaRnedHdaIaK5oxvkclYqZVY+7EPRwqfhqqzvo9zb6h//XUDPvN99Ss6k2pxkTXg1lIhAz5Vr0fZ0B7MK8Xr4PdbI9Afy7DRwV8L2CzNR1l1WtKi6MRI+wSjgAmJ9QUROvdt/vY3VB7goSvRqPtDMhA8coPWkaUS1ApEqmAx86kt7vIBMx+Groor381xaI8GCWIMXbZxQNAzR5sGKX8L92kMdw1kR8I77cCa5CqmlTUAhzoZ+DUh9CWH0uRl5WyZ3kI01ZOYL0TeZ4br2ZG7IKU1MbBRx30Nm6WOc6CAaTMzCs+hakAifZgqNABi0SW8qMQ8ZBOrADba+lNEcCt4NGyxAtaz9m6eumqHPqZq7WRMND7QjgUIlp/cfAWYU25PkADWkbSdoNlOtjXIm3y7jV0IFZuYkzKFUgph5BWWLMyPFEbKG2jWMXL3zTSJPubHi5fUOVzuOEQQihvCeVNm2p95zKqpK7vWdPFiazH2L0yYVWOMJYzN2GWG2Xgm3tx2gFKdYafOMlzVBcgATqpnJbq9aHh7jpb+UnaVR0FSdyD2ta/KASEHrGQPPhX8hPt1SDhyDzXfuuwW75YUP+VWifWG6D06NUbd27ee/WmaUTlvzew1TfW733i87dylZffn0id67KVtlE4PM9SmKql0DDl6UqecrXZZCE8XooQCuLPUTMK+MeRZlxBZ6idN0wqElWOXDY9E7iSFui3vyT+8dZKDNrbRRtTy9hWxyq0KCyI/qa0XeDNfrdqFSAj27nuRyGozalrrXScnuSUFo3bWsRDMXroeYsmQkEyvdZqLiIAeTciAcryPqrZiMEWGunVY8y8fNi8uARU5sOGqfJAmloUpiOFqmN44XQpj1XkN0Wcc+idapsfO3QTc6WgnPbgbajuqhqQkfHwktC8cXHEWG/bXC31/WZvMjPf3UenvLQZ24aQbmqh/MTE+6rNdT1ZvZu3SsmoMbr4/l54qm4oqEg5dZkpLMq5oVeCQulvtKU0Usw+Sp4BGy8pCNy8shvl4VejfPa75MVjEPlEyebO70g+b427Hnxk0FNE9xSYQ42lFwVDv4MN8Cu9HPvrP8JRc2rzlVgxOtV9pRmvX5OWWQP9QJk3/mfjT3e8SbLjl/ZuPw75T1utVaR3EPvAZ1WvfvHkTaXDBgP9Um2Nq+O3tO8mzNqSLT+wdkJ0xXpmvtiYpCPqOi6BOEei/CWZUsgzSQVgYUYWBRmPEsJJVPtOc8KcDEqJalri1Ra7/1MbN32P4+fRzPEO+/DqgQHbvzq5oVXZ/rFzZcxcBu8F34v40U2pFompiWmYLcwOMXd1R4l9XMWNv3v3TfjzqWD5ifQy4KnYT0bHfTJk7G7RQmEweM5RXzxQpo8ed8768TPyk4z9zPgn80MhMo/oZ9p+fx7bz3gxepwCopHxDy88O/DbylRNaMDMx86N4blLUOstrh4prjGjZPPGFutUIxZuPD3F5eeYuBmkBi2gvb1NI/jShrqUoeFoV+jbicb09zPPWI8Fjj15erHjpayyZ3wbz+qaN1RqpDB/BkeR9kczdQO9QrCImS/TubOgGNPYv+VyZPk9+ZrmoD/FP/V+oQYvt2DA3dALXqGR0HUKpoQCbdd18OnvGoLin46xetkGXiSZ944uoMGIURi2BY9FLASYNckasU1TkpC9dfbw21oiCTUNHgFqORku115vs7VJwzdVhrSe9+1EtPOimCosJ9i6prrS1KqNLq2YkmH70Kk3+rpKAtb8J9VTe7Rir5qP/GpubLyEAr7WRL7aA0TYhWhHefgrAOqSEsslNDF84w3wCA88PP3lx5VwsCCy6XCkNAvKpqscOGCHnnqkU7ITqe4BrPj+xm3/cbGMrt5R9ZF9h19t/p1ODnkTTP/iVGpR1qOkg1qVtgTlyFNRMgtUnvVYL/emEq2ZFMqvKC6sjV9N5BfbIA2FG7/oyCgrnucZ3ejUwbG8b7v++dBUoRynwguBz7fVtk7Y4yd4564If3qfc53yg94ARuKlHz+gab+256nEyvX2KPN2kC7Rfot9G3bV1wAyHF810lF5ffqiIf1YO8o8bPHur8FsPsqZeBMV+m6SU8jL++p0l60hGptDOaqcu17j6AfRAZWV+TzlUqy+AQCFCV47RugAYb5Vv10NTMacTTcOvPsNmnBOwuGZkoWHmbl8iLo6ICKfTJRUzQeeP8aTQTZ7jhno3wkuCerzFfqlsmt3jzi+x6BoNt86QF8Mb7zi4ztD9wKCRi+nPtInJ5WR1K+el9ZW00OkdBtiixHCCR9IL3iwBtj5ftKRFJtX18yjWvCxkalMrC8rLSBWbco6Gb81/okz2fldb6daenRaaWG24gYT+GsqxVz/M1f3pxfvvy3OqI6M3c1uJpu5LRCp3nS+3AzPhrxTV5jxO58aS3b+bhV52qIMJmlzF+Ao975ZDpJf6vrwccMlWc1ObcmJPwxOFbCbRNQDs70lzLhdFlDOxUmK9CN73thpeViJltNOLPdOKTcTAyOx9WM5EuOoFJaYHSjAdzBm3veUBs6rvD04jfx9gVRSd9zybpcRVpbcYqNXnrtcRmpkHKK6MFB9K5yFH8q6nbxha1h2nLe5ppCr/4AE7j9vSrXCm3Zl9Ky1Zlyye8aIt9Mif3LHr2OmLvi/IrelrjYsSObG35wxDEtjpLXe1cwuH6ut+Uh+hbdtg345y9mFjPBaAbRLb8I0hUe/NwVL2fQSNVNlj4SOSV+wtYE1M8sSWFv2//t//g+XQPRzjhB8gp9hHcocuyWf2yIAqDLpUJoXH4XScMJ3gBqeLRNyDIYYinXXMsVytWNvxA9jZiyI672nN9eBP+rqh0Xzfcxce+wSSwEhzxfT9L/tj3NHfBqnLz3XQKzRmP/YG3ZqD8Ify2rJeTLMWYIHNBphMo1HboHKly8o4Hj/FpxMymMcOtD1CSWd9nI5W7J8/sMlNxaolkRj75v/Blfr3dcX4j7E1GZ9kgpeNZPsvA8OkX6D/gP4NE2nOpz2eN/c0HczE62HG1/AVLK2B8ebfLkE0UDhkpxZvfy2ObYIF+dxXibgLNeUMlOXA6q6gdDRdAAtQXY5rYJe+cfZHXvrBHZG3yuN2QEbKW/eHSm/WlTBBN+y0rVAjsoruHxWUV/68m9hA3+9aYBLPSUdNJ/gKGU5ivKpxKzJLpSDaz+WVAnSJsMhdO3jQRRWZNoRTjkljuc9x2tI0le3b1iT2d45nTIvHwiBfz1UzXej1nlI32iQCC9SwGsYjPQdBnk5RK66sQC6NVrvY4dVgblTnnY/+YbPgDTpGOFXrYN6I/ra/p6erqxlcozkp57xFKq085mx3syUce6QPQYh09Z+1SaZ0dtbvPf4RMo6V1Z46LaCQLuRFDzOS3xqmiS5BYX4LjW3wrZtlJbFwGmuS3+C5JMucIyCP8zKPy15V/sAUKqGjKHLrlwQv7EtnsbRLwf6/JiokjtANYc5tiWhlAyjKjmr8v/tKugMKIETFy/24MLztTq4EusTb8b3o6LcTErTLUjKTvwQ3W5kpS9EdX+4Fn56QKtBZ9Wp1gXkRzB/Z7l1L9EId9QdKXVlMSlgFMt/27W+c5t8rrBbN6PPuIqKu+eBu/K/cfL9hMV24vErhEV/Ey6tm7Qaz9768OQvoHzkGtByZhulTqhjbW5Ch7uze/+9HUkg3pQjtQ7U/2WoRh4ewRxFGtZibPL4+uA857kw1jEU1J6x9Dwazcz7H/tn6vwjvfbz391LdTMt5qyUqFpFs7Oj7uOwZD9fXba2/5tk9d/tXBQb3pzv6VrervH8ZEx9FTkQiOiRJ3U4RD3OjZMaXHMwNG958YcUikocfFH21h6pHwHURFmAd88qz7pzwBTOXu2kMqGE7ISPr0Qt3SBx2pFUUZVdPwAbW/tuoyKKzuoMqVg4fzTBruo7cFyADMcaxqF0o0+fZiaXr9t8YOrCFsX/qzwFlN9RU4O3jrd62zK9L7uZ5+lUZKvQPjpt5NHSDYlnNB7aE0CFrpH+AnRcwaCay9eBVB3vr56ffuFksouR0IW20mbSsKPxG0dpQ9OK/YPFx2xdy559Xs2D4HvyvI+ekdKyV9bsvn6UZak1NNEe/IBpfcSt9bt0A9mSUyzZhgfSOclIoRABZ1d+MpntekNVuLtvNI/1uNOZ9Z80AyOnPPVLVVX6Q3mooqURtrU/ypOh5ebxzDOIm3ipWoxvYts/Gs/OY2X0jPzMQC+PPdL8Z2b0uGX1oF8fBh/QJD83Z9Y7eAyxPtOJaWDjLW/u7upBw4CF+WPrPW6BX15xOiEV+cw31P0WmlfC7F7BdoP4BFzIqxfnUaYN05ReaYXQ6BciD+jyVdqWytnI+EgdnVNei84ccZOQffhn9k0/jZ1gucmtJU6Vp7V1nExQaBiX5O3DSnlh8rMr5NLOhZ51LQIPF3MYt897PWO6LjPEJMDLVBxu9GbKvONJnkFaLbt97Ox6Vq0ohSnGsH75MhdEWKkWhpwaGTJaFiCsUgNXv+1r4DPhlwrZ7yJR4tPDnliUt1HHji4B6jlih54SVdynEj361kTeRuCGuEM8aVVxRRkCytZn/PJ4KmZKuz3h8QnSkB4XtiI8oFrLjNx9k1GCUG5nh1DNCFi7ENxrtJIvs4qsxPr4OsWM/7ElpiU5ga9bYVrNlKnNBzwOmtNlw7Ab1f3K3tHAEfmmO+XK+j4L0Xf3om96zUwucUmAEmqGo93bTdzml+xzZSxrO/1hn2SzPF0vqd06+i8/2V76zz5kSen9KM4j93zrfpT0sT8taLmsD5Um4b3ovSxlz50rTNZ1wVPJPbwfQOqCVaMxOgG3VakVE0+VAo3SDwxBMkTSpk1JcJmEA8/or8sCeqCeltLX2Gfn/UK7rYeDu4eJqphLszue/a0gpoRIZ3irwoYGrI6HA8YLmlvkC0IrUi8OZwjogptuGrpHXMD2yvO3FRN6dtSj+70wP+yWIvphE1pUTxVQdvFWWvbWa1EsE59OD1lkMUy18bzc5DB/5yTRdu5e5YPOkynWFWyaU4iqlRcuRu7shc8oCT4qNfUohQ8OllJ5G0BB0XMGvnwAP74iZSuObXfnmNlzW/XmuEq4dH03jzjZ3ov9NiutzVioP4gN+t/9XIJgWqXozepN9n2T3/f3yTRhsqeB/J+0391iP8bJn9Sy71w42awxwtJ6VN1ZKuik/t1zWxhhqM3ha1uAY0eLXnJGb54qCoFhKWyd/n2l5NFWTs9pqSyhKiv32cXCjnsM8pqC+nlqvqlwVxSta4qotfRcGmlSKMk4TO+Td8YpfkBGsBUO4kS+b08OPdFUzImaXqtuNKeYTRS0bk2H6Pkr5rd1XbBKaXLw4V1eMaOeyIqwSTnzYagSC8DaXRFWbQ7bYtm847Uy5xQAjjjAgdDzcfR8LU+Qypu7rwElvC2OlPSHS52SONxIPSV5kZh8vI5Lmt5qbh0AaorGsrUrq0iQRqFvuW3VCW/wn1atrtL3u5262c3v6heQNzca8VbLVQ30lkYg2L4U+RpBgBBvuusThue7Q+uN/HOeMzRh0FS1PJOzPYCTLI0TskIIUsFru8cOpuNA7nHxh2LViaewnYnOVWEywbjTc9M50BnhpCvPoATaoWJSLRAN/rh3paXXs9l3rXnF0AmBJ/qIuOUNLX4QehepDd7BNf/90lc7uPs6yS94I59vyR6igFg8dUfr+uSt68ooxyafqA60SLZKLSY4+cvKrimU7Byly6CcGLc9GXW5F1EXZMqDoa4nCGX/IGyrGJ0FcekAKrxnO4qliVntqAvSAvSF/LO16rqE3tqEgNU6CCgbX/W8rZvlM7SSzy4lehsLmFOPPJ0a7/3bSPp1aQELzwcMUopMv54uwmjQwlTBrJfpFLZor1/p3d2FEtZ6rZdgWq52lj4IMyrwC1/MC0XjHz3PV0XcYgvsulZyDnT9g7a40Iuu8iaHlXTduyznv3HLpNJV5Ba+pcRjcuGhs/O2gnNUfXQ1sBMO3uy9yvRIEdjJGfjqyZWjpNMI3vrRnw7yKbBoYrOSLOvQ3JioO5zCjoLsKWos3tcce5gap1PQ+sB+wSPXYkt48SHLmh4YLogplQaU8HdTboLVol6KKg2Wnr+j5clMqkQaHz1Wxkm9sVUPXLeJjapld4FCQMVe6mszRnm1HKncDH3OmiLlTWgMf9ydtmcMyaRUDpG94I1mVvt463TU3xFVrqhsgAydfaT00laOLvVsr8nuuCpEWCS+8fU+RFOJqaEDsFUC0cDoLT8y8KsgeYKRsPcoEqR3rPl4nGdCGsLcp3a8oDN9lgwdYsjh36AUWH23pDrL9Kq0HDNfkkYcI1RkJShAUYtSyuOdqpZJkrUzIYF+Gst71W0tZfXuSzpXUPq+qEXPfYJUxatrv2lyN+bEhZ0KiY1P40dJu6v8XAE3OFoj/XZMjCKDlJfDuEqkraRW5TNIbs+dVUAvwPWvFs/qehfZCDJQ6DCxFfuqEs7RO183W/r5ijRba9RuPW7YaeGPhoosXr9lWYJ7npPZmEnIBnWWf25Js2y6viNfkU/1ThuQ8u9nYvnhDv14PPopSyFJ89QfiUxxdlsRWnggMdM3HoR9P36j1etd4XcYafXmYVTbqP0fPayfBj95vjfZRpKLR0CPwApefn0qGAMYRX5bSSxn70qmHvrez2UzRh5nmOZ/V+UTM0ywoQwSeuNiiDL7hrLiCLSt5DstJ4KpaBExVXpsHN/AvG8v9sdiXS69SgiYvY8jhQ9sG8OX0fy8iiemEjjFU/KYrfJntEui2Dqwj2bbTJfePyVKx+Tc47KR9V8xKz54eBAte3E1zO6SVFYso3PXoLoUgE4kshdY2zZ7W9q7TVm+3uD1u5TCb6MEjPIon/OzMCjr1qdi4Bp07Mi7ro4s2gyt4ZcPUTuORuC3Y41MZ/XzNA8k2tdK7ayfmXG30+EO2WHN6yrAWc6M0J+AZvUNEKjnz9/oXq4ZJz/EIf6BdAmI0m3Ur6X4+ZgBK1gheawZfIBaFbR+Y9bG8dNhH7kqcY1HtxuEcH8uqcietUeDde56x8pTtVKHNZlw3+nwF7+3ybgriT60Vm1t/kaTd8reh/mnPTzRK3UW6MU6OhZAO62Wnz7bm78+ZMsKkVIvcekIj/0D3fDS/mj/zk/z7tIQPxp9mCUzTiD6Bu8bMCkDLKs+wgUnI2m6j+wWD+akAFyLqLjTF9giuDhSPUgGnKa7c351MKQUWRkYCFTDbp0DheS8zo9SWEPCIrM6qx0yh9pd/i54kVj0gNH07qLoP6TCZHJDo2VzOptQl8USUA3+m+KhmMM+N0wX/VNrSvPgTVA8zru/UJnZGWv8PNevsjW9afwHjLPPY+Iq8z69zr0DRvjo1U+Um1Kt2ikidhi8baOc90wyFVhiWmiUdCjboaQj3e99cdGbJUeQ0ChCfbyccVFbndigrZljBamOuBLtSvSxUoBE8t91b2DTKRLoeRK0V51BIB9WogeWr6sYQIsbwMuVZQaD+Dp1cMLh7+Orw3rU0BUp+eZzH2mL88pYlcWtSRmpdDrzfELjOYHIW6Q0xQfpA9i2AWzn0Y8/WABq4Gq9ck1v5tSAJaO5THRy1IoKpMtbul7DCL47oGGef6R6YDmv6USfyzeRaL5CB5x/bgKcAEuOR4AAfcQS+AJ8BnuTHhv6gTf688Bep6+yq9xw7yHgNLjAUh5cKQbid7hNdT4nEy9lIy/s3vgokQvIWOoE1qFZKh9H5Q6O+6hhLrKl+ZhAY6eHxRDnllPQB/fxAy12Fza9hFnKNV3y1Qee4fHWS/j8+/1H2sd27c3bOJWkZkZ55siKSsJhcN57HwRZwvPdjFpcHemNRAvayGUS+nwcMf9PDiA0KXIS79vpewduq9ta9s2TBF6hzdm81lvVIo/kiX7Im70bwQbt55oa3SrD5FcNTEi4HKJvfGDsjDXu6olE81CF7NZPPpZ2PcrQs2gRhc+o/fRxupIaePPsYJLF4Rw9deizAAjNbFcbQ+XNXApswuUglHZKhr75XZvLDdbDYIS0J/uf7Z2KFdSGMEqxlLeypJQTa6+VuN2esSQ/tZuYvRm33eraoGvR0zTViMztoachYm7vl2T/qMqDUjU1/PuHG1rprKX2l04a9akxKogKQyXQOoHHggzS+7YKPsyA+QpYScpsp7cLfBYfbw7FLGf4vCir18cjgPHAwpGaYvVxEn31LTqFVfLofZuIgFOpKH+ieX4Iwz9TDuKXEUEpUdVtfJw6H1valVjUtvrdrPzwFDQNp1h63CCVE7D6+PjA6UpX8tiMMvXfqM3sYPI1tc1t3CYEDhVV30lbLO9veiNSRHanrPVV011FAlyJp8OuFHgHRjpRMFCA/RNji+3LmjSKTWNll1Fo/NTEZFoaPPYTK/v6rfU6w1YaPSl8u1YSlAr9IbrtgKhrjj9QDtK8emmTJWHNLRFt7Vcbsau5uD7SqzPAaKd+VWBCdWzhUb7ARUtvnrTrqCPtSqQsMfvmZYNOq9416QsXZ9HKTWb1HHd8i/6D55kjSddcFezSQFZyGBu5fPXTxBkIqKAI27QFVsSk+dSovUF4GZ904jpAzxGUFYIvGFmqjzeBdnJNFTVcuirfCeAHUgqU8UTvx5WgMLMUVyfC5+wDqjJ+U9rCOaCAx9Je1srzwdJNgnKVJL5Z6i4q4zIPN540z+hzvGYU6agjiLNKyuPd/MYSNo0AprOJ2QVm8d0Jqd1AzlO5iY/rGxaPEQ3disQUA8TJ9cXPc1agutNpz9TEKxwIVMIfbA0ko+5qhagH+48DHy1fS9b6XpSb+nkXe+PmbRtb+bZcITiR+k9LXw1ACAOYF/uqyD0AG0Wuc9mI1HyCeR1nWioaSPhAd/AY1YTazRNUFtu85kACmBfUZl0PzYeZKdLIAKoQiQw5du2y77NTGRYB9xkTsuWhTtHq7AqIfq8Mx/T+rXLQ3QWTDuUR+w7/Ss/HRh19dVQBnnJ1MgQQLRvNqXj6SJjWt8fryQ5VnaVGoy6cPhXCHMGk0ogY5zNYd+mevHBP0VF2AnSdZ8Jv+j5C44XvzqdMaZFvwZ2dx1PFkq4tdh0ntZyhB6mWYe0ehT3LNkCvZgy5EfoD3umpJzSRHRHSE5++QKJjOWaiFyKXQLyzH9HTZboNSlHrJfeT+qutgOKU39M+T5yEbngL/o6H/FHmaO2uGGgRRcQ+EaN6s7E6wBERbBoeE6UdNQ0V0EdSa7LsWMOTnqhpV52FqKCyM400P61nf/6uAJQEe0h46qW/Ij9vGV6MpPwqWb+cAWLWVDFYGt2tToKJnKfbM609J7bL8HWZzFiaeWABnqabwLY8VGPrN30X/OdqxCLbRHis4DyXSm0qcfqOSgm0Kh1vddn97+PGvhQBlXZtm5a1GRzp/WTXYHOS1/unfu0agVCJdqKXP8YvTaJheUiV883b++pWa/X3eTdJ3t0eCO3MZ0EXKIqLg7Md1CllgCgvsZ5HnKUmttJuvA7J8tMe8rQ02M3mkbyMxsphmIrKg8Y16Y5T3XNln6y6OYKPMqp293P3xPCCmJ8PabgmWlCBcyXu0/L/QxLb4rYTECV9qtKj2LxqoaVPX649Wr/S7r7e1fiXj+Lpu60gIzvv63edvLu7yTKIDcpZfGDwS2n7p9kTbDn3Wz8sWMyz3dCwR/dFm4JDith24MfzkLwaa+Z0sZ7uWHRG8xic52em03wwZV2CfNGuyD2HYXhOrwBU9Ra2PCydbhRNlOd55mt4rnGqV+uU6ufq3mOJfWVhDbFnnhYj+qEG7+MZo4AaUqT0s2WRyC767LQlsevo0YNDUJeKKkEp8PQoV6TFFtlXGxZkoVJoD5cyrGTP7DxSV75Eevwg74uu6srhMlvJ+1j+ug/E/TcdD9hT+LQhUzK//+mvTFwtxn+yJ9+IevmaZCf7oGWAkWP+NSLBUIvHu3re2ajCCGVzTVShVizleyQg5KbzS/a4UyrIVLn7tECAx8ZVt3ssa89uM63EuiLqXLUVFYIPTcunQ5csdwCGNnTyWSd2Xcn0DkmBDsDu++L4SVBYFmcIKMWgHUVMzDBjkSkuZ2fUaDqhYVSj2MA6KhEy0WkTT5IekhAKu+ytGedU3AaDzgRbF4VptfleVFrD8kjbEfFF3kjpgGRD+x9PWjFX2MwzqQtSbeLVmWdAZDZkvD9+vwAgp3zm1xZ9pHx8XrA3lAt3P23xbCeoVuqVzVE4U8hwIP1KnWKfacDSx3VbHk+npVzpNgr8sTJ6HhuJnI++jLC93ygz6d6v8fOgx0XpUw6Yo/F+B6oHpIqiLVJu6srNlPr672lu+CpmHVkHg7f8wqYlox+W4TzdIbqrArJSpgjJitAMknErfIPn28NePq8D2jTJnySjxNpXDZODUobfH10PX7PFhgSghu5UMdZhKP6WPy3cSMiGAnQqX9VggzNHUnAMXt9oGCz1HYA5jhu5BxqbRsIpMNjAQzjB3EPJxtmTGMMLYk3FokBVVsD3PdVVVFE06G9D50A8m7horzMXk1L53agyu9Mx3tPkt+Mm17CQOcpuQSMeuO/i8vuNyXJi1bwyJqTz2+eUzhSSLcylE/PE428GC56mNy5i7MHPZGqrQDDR9JldBBFHIwJqX7W2Og8Pt9Iixg3GE1cJCSqnN4WSXwz7aCvSeC3p1SZZmtZY93BkEu2D+BX4zRNZy6lzwSdjv+oxvEU+jxTTPl8NKGPplS65xmwtAhiQeeCnorekc5ro4NBame712bQNfOXYh+F9I+7ZMW3Ea/iA3npUid35x1Mpw5yO5z2LNmZx2n44WqZ4QgULBaNXZ9zt1JpdmS920SabvbBRzuqNz7I/pXj2PXpUjvP+FRan6EzbjpWPaN/3csVOC2PYA2KHgg1Hx3VdETwACLBXYRvPn0xDWZ69ImILdi1wHsbG0OWAFA7wtqtTbLUfKhX+ENkh7XhZUpe8b9VfpuwC7w5e0qVr82WcFEbOYmQ/cfw0mraf44lwUf/VrO28aapHRqZN1SlncN4vQ5Z4y6zEXVSB74WVdxPGMFHy+APSjead4CnuSGQ9mpmdb+BB5MhM/WuKG7YHN5sMbbtKJKmI+H9vwkHDyogTkvZwmEeTTyLuIys4MxnKo1M7cOw3Rrs4dCva4S25OBM98qZoLfvyzR+GQ2eeIRWkBSMGfx0jBR3eRzxmpehSLXQJSjrvTnKn/DJdkV17NJ5VacL6TNAZMRsNaTVZmRokv5KXKSUAF9+IZKVWbmR/zlXnCkAkkAnzeC6XukH/hbElHy59CNvslGEi1o0sbaCDYcGZUvTuHl3UQWA9Ynzdmup41CbdmxWZWbtdCp3IOyf278hq/pRi1dbrzYVVOkup7e6+7M8CcGxKv8MLE2YVkfU/FxNoPSwPuLzumee4z+MPwNL6WPmz0dn2R173SL+w+OuVPeVLY//CU4Sxs7WW+bNW+5lTdIwf5K/gkBwFmbrgVK/SuadEdUo+T0i+57RbdDMjU65895RojTLwxMXcvY/Qo1WQozzlPn1VxBcLP4okpaawa98TKTlPC9/SCjzgYSSlZGNrIKf/lnWauG5jovbTD5CTuxSQ/I3QfUUrB3A760LPjhEW5YLD9fZX+QjE6x7MJmkXnYiz3i6U7NbWYs+oaRKI+upUyD1vciZvw9kErkzlmhlnuDiWiZ9//sLqWEASJ8VCJ3DyFQrLYK81z9WcRbZvp4NExE1Y/Fzl4laFq761hF5DnuYsdgUKuJDsJex+OP6br3QqoV4gad1LtP+Jh+diyng0sE6FxWk5OdrofY/uAINwynPlbws7AixgEctlRw8+w5RmQKSi0Stf+HpfRJgS50EonYpTxmFP3nbI7mKzFSzv9oOEfLlh0E5OMh0ObcOEf7WbTUqVwmrA9DajGRvcOIou0OBo5f7RBo6kSxcjftcNyOq5h14FDhfn2Nwcg5lG7/TdN9AX8E3ZOtcxu8dm9PwNGXD9U54/sQ5e+O4vRZDuT5Mxp0hzj/YY3a3gE6+8AEVoLAS0q23+wbkBWRgG0NLIL2oIR9LzmBkiwgSXLfiA93iu54aJqCyRdGD9zqFOtRJKVAHKud9D8G8P0l4J68zyTKk6Xmf1+uLEKKnjQ6XxWwsjqan0fXnVjCaOsu34a5eOOUHfnuhJGvcie7tpV1sr10bnXjIPReeR2ru/3qS+BTOUVKVoDVhvPlbljH0ncfS+q8D0L8k+j/Mb9h447aDcJw1cSbwW28DdUX/O+QqN80W2LOn8YgrKnx6jpkIUWeAqtFjNE1uxFrVYRUiwIB2xgRp6pYx2AaE4PTDZ0C59HM+7CHp74aT4DfsWKtmkFO7H46s+UR6o8H2tPPRWtFFmtzIdaYamrT2PRzPznFQrD3Xh01FWsk0Yvkj5GP1sNHkop1ihgcXU7kZ6F15iX+XdoOl+37SPl83glkbAGchEKIZywXqlGTxurgr0MydbHQCRFR8+q2we2KI2SN1mhehPc/x1dJ8/IsrReJg8GmQ+OUmSouStTCydriHeOE+HfRNqH0bw+IJqViUUfjhgx3nmGftppHjGqUb4ARPN5GcYG3sfIose5uJVrTFnsoFQyikx8XWnEKhCl/VXcI6q1m4XNnLuEHEheNmigTmrWe3vZvFUeF8fvZuSgpLqzjnX6wJFL2Njjc7q7PV2UTo81d44kPa2+mqUV2HU5GbEVokaet/iwlZC+Be5jBevkkEZW0+mhYxjdoQxD9yi/1BP/w2hBaBEN1lCpoXAFTbVre3ppQ0YAtMslOJ8SXtaAl/N09DJ/58SaYPnCGhke07Z9GaR5hsete+1E8mlrxZvjMAovmOzQ7mUp5ihWlNrpS3v5YsWz6+TzcuznT9svE5G2RMUoEUuI1uGBnJc5f+6qrSdPYAWPBeMB39w3v2D+CTLVl/wrv10TVC1pCIYLhiHT2P5AaTvjXBJL8R8D4Q6VwAs+eJpDhHpziw9PZ5KDoLC3FIfB0RmOe9F9A9rZuecaPiv5TJaB37aYnPKQZr+x4Mh6/EZf1XkXCDjwv4zbCotlCMmBsg09D2Huz+OXxyzCXrbp9KCHzmgXrpxheQFRQJTfZbrh7x6jF/qIEm+gritAnHDRlMQcTW10fWN5yHhZsvP2Al2p7MnOuvd1hHOLfVbBtw0ij8AvVDilR9zMZF0+IMUvC9C0mRsdSlXvEJGMwWgffVyWTBilLSZnWvydJKDQuYeYSPjV/I5Mmq2NrCK6jgTLsiR3Jn5d/VyzN/9BMIQtQsamueGA+W6eCBaIupumxN3/PTXLpst9pwOgljpRFvZXKD/h50JbDwOt8xW/22hX+LiRurWqh4wCUsnsGe+SwL85B+BCy9pj1JwC7QoJYaYXHXixaVVS8RyDUG+cye981NBqPdXfankI5pIK6kycC8sW1FbWIpdI4+07uYasRJirhUj+4dZzIXpf1fKu/t7skVOZgEkEZ/ymALimdnHkA4BFeeTjSt6CNlenBUfaf28cbQd9YnEAszC0LdjU++1JCP9nQeQoq3ec1/YTqFBrz7kIco3Huw/AyDciAP+caw3J/siFMMh+GnxpWvxPHBZPDq9v9Vbky+6Kkg0tMPb++rY8hIp44y+X7+tK9oGB5F4kPm1CshIzgvJf14h/MoqEX56N/ti2rBJW1Ewgw7zZ5QDgNYaAhBbs6NfRXfqxnovCr77wpl4gpPrbpR5uwVg37XjvGvZu/ZnUT/JS/rR0+48H2Kg7ai2OESuM4+nWFmTR1QY4/HjmVl5n+iRDd2g1eA01oTCw54OLdFNH8qwXa/y2sWQG3t//W7Y3+WXkKT97x+39yONHkl62z1mkrtEWckm6ZdtcBHRVlb0usLBx8K4EzdH8Pw2Hk38f/+v/6HSQ87WRc7CuN+TZFikItuLdzb99T2q7pKgSjBuwy6MWkozzxd9paQD4/yNdwN9sXwAKjyUkaVUK/8ocvp9/TxSzh7XGmt321g9qBaNJxoCzGjevLPGyvxS/HSNSs1lgl/8q51J9sFuGLyS2Pq1n6W/9eX5uf5fx3ABqr3xP6e1BlEg0TYEEcCnOeqZo+UKFXlg0qe0I3fD1DAkF4kdjUN33Acd8+LjV2S+utNCjqKDIzxVfyYnZ55I3uMUsnynkzuXYG7cmy5FcxknTk0Lu+v6HPk2NcNYtfdanoHgtuBEO5+vUjGCTAfALXStazRB/8GQUzFqmcTK4J/IJF3zG2F/zb//mzeZfQUQXJCpokneJ1ah/vdNWtJ7npd2ARTVVkYlKaj19zxK+iFZ9rI9quk7JyzoZhJ9tcZyIppKaV72xW9HSGi2TbKT7M9Df7sA9x6svz/OI3xr4crmgCKWXks+AMRilQ7nGoMMR8dBqoCnY0L9x75PGyVE09wP7UussOeGBDe1ArD9gkz8+sZ/rHsk3/z/3rmlBrxqoUAyUWUVf5iLl7N451bthKZ3PLunIOiYJEGRPUEqGPWT69FvPHo1SBNN4Bn7he4Y4djNlEfh/h3ZPgog5T0m6CRQfrRd5s73uHCn/SJF11z4umM5dke5VopzrE7/Bd0rFkqkd7qhLFrt00lTV9eQuTGJ7zf44wyEIui4nfu4nGEi2J08Xju9do/2NeYaxxv3dzyMFcKOuUeMsOxnGJlqzYnA5Sh2xg7Vsw4eAzUWl3E0eNCtr/bqLm3jb8dNKYaZDiDKsh/jIMJyKRosi/hzw6JtdJWT10cGHW9xNVz/iqzHKIYwR4mGDUL94Xf/9aovvYG8PwL5H8lFl0Bow1t3i6kASDqSvWZhtUdvWvFE4SIATa9uuSeoZ/y+afpJQxnPn+gCvmsuucfQDC6ReBnOWGu263A7+Ypixm2iPx4Wy/5n8vMI0q6mBzszJYLnnfXOnKi9kaZ3RaOLxfbsK5uUFEv53V3Pf1f7yuv/Coq9KsRWXnj/I3V7y7L2Av3d3KeGxosb3a7nid4wOnOMKtCMkT76HnOqyxIk5e0paDeLxwYPMn/SwMrBktPw5zvfXE7vy4RUz1iyA68+HyelYZbWB6as72u3u8VRvZRxcemqRw9KIklRHzuloCS98LCcPi7tpOxiR1FbEBTdNJPQnuAyCX3HJ2LbAr6JpEl+ARwOqxDmqprE73RV36HLlGdAYjVWMtvDHSUzPwQEHNmeYzFpO8RVGsl+C0fWb15BJrOkiDPwSg+Adx7nXdxbFOS463IBRdIqlMBViD/Is6tsH2kXd229paeWCVq0DmvZ3YVXQtRXn87oXXle3tRj/3eF8ejv7uFt0gJffVL/SV33DxnD9nMDLynWnGpgmk44RSeDE+5rW3hbKYUFi+j+vsiYuH4YokqOx0LYTTt4NHnyTEWA7ozGZ5a1/mEtAlRIdhAD+pn8GMogHs/zWBn/gjCsPPPkMbzL1SO1lOjjkYTdbPpxbm0wKLBilMbFsnye7LSE5/N+Aw4NxGnHBzZxd/PG+5Za2yH63NR6LpZ/H0scn+nAMUzB9C+fbttt1sr0q2ueoaq3Krvxef6K274QgWvFZ1AwiGb4ePwEGpevtC3EC8uhv9pz5eaUnOP/QjzjO1w4ulcc3JCorAdFwyWNuSdMDu7QSyGf84jkpGMs/2HaCFKL2/NYHNn+jMiZndd54kkeV+/aDC6H9N9qy/lirco/J5MpjCmsaH3Ei/42RcEGwLlfaeZzmABEPZd0aUhO7Mc9rOzveT4jqpo2QMcVau0zfoVOKAfWejRL2fV3qf1SMZ6SlB4lF6RCuzmY0up1nnYAeLih5ZZW+v6OuNukIHc3NPBW7gcycjnOPH7k5yFu7Was0ZsDZA/fvsgWyhcf0Ck2ppW4p5+VCtbydxKALpntZ7TeGEhyUa8PuV/vzzmdOY56BvAaxbkgx01R7Nd6gc59Cj1jCV0lLrsqVw9X5C8IavdlZiHO09KoDbB8uZm6dt6vhwZWJLg0AwiAbOzONpv3nkCRuyox7VkiNHx1Xx8z/De22itdDZ6rX7hH9NHtlN5jeVX6TOYZClotQPsq55Zl39jX6LMS4HGrd6/WS9CovJlaPHXHLycAbpUMUN/kLVRq3QrPOs6p1G9+pIekysuvy8dBhuTfiTx7wzNfKUEGL1BozytR9ZZqF8DHhT/9u8Z8bTwDQwKVXD6+CxCKtUkA7TmX32hFJZ+wk3Kw2blY6b6V5apHy7j1FICUy8P2TEOy1iMGmN/WGk7aN+BTwrC8Gv+KOhai2SsEK/O6mZ6Sw0zhNMYSpyczN0G++CCMaErjMYppgER8NjYhkweircQGEL5TyEm1arqj3lbxkxWlK19j1nluhFS8zZQRbcBau/k67jjOXCzbhp/SBg89wRp3pZY4FxqvvrT8Rvm9uKxWi1fHEtncaPX94x/phIvowY1wwbRk49H3T63etd7dTPCk54+vQl0RffNzUq/p/dP39Y0Iq4ylt1wvyGOT7Puq+nUOTb9sV4WkwBSeZ3cTmGLP0SFSlJPBW66/TDpS+puD8ouBSoob+VlDUDqVEwtWVmIq+7VrOHg1G807P8EF56lO0HRWCv7v8smOp2uRn+RB/DTjeToooh28isYzGcs/kdZzorbRsI+84eq9t9lmjTbafbOx314ew974G1cyeylKI6xBM6MZvbaUJ894Hs+jEfy6Zzx55pkHLf2gsczPNIdDiUBUiu7J//r//o8tJxdGSKz39d8MOy9iBnLfx+V8lRqtLpfli/m47mtmmFQrPfAaLc6auz3tVYJpRol3c4uMk00eOck7mNSjSToAY9HCNnG8XWQKIllPkraiTinWyYAsICd1oQiHqjGe5zG6fs4cFdtu/UfV6f3ctOKxXlfWgmQ6khh3/vTSUau6ns2LvZoHqAvHpZmrssJ12nhmlXlRI+/l+GkI/dD9pAyi95Zwt9PljVX4aiv5mQZaXvys3kcTvQczJVxgs1rncYNunGrJtnzoTXuKrtCeKqTDfh9tUaawQ3Vp5j+44/8/cPlqHuBqjNaInIzSbz8SFQ0lea1ynlwEztqz7ya5sXqv9G5GW1shoOAegq6Zu9zBdLfms/UyQSsKZddCVIBpeiSa2UVlobJIrpizAzMT56dSEWVW+QGGJKN5rwVTCEZotucV+3DepJu3/YGU+aqYowWCEpmqvqPxR8ze47FEzxT5dMsU1/qiho4i/zRbsQzh7nj6Ptw6YuN19a4Z5SVBtQPlCld4FH1bbbOs9lmv89RyZYkAnkE1DXTb+Zs7T9HIMdP8l49TXo87wOcr1XRdCQfLMBjd7pRtqN0bmk1LLYB44ppT3sn4iFyK51XX+cA6K35cxhSC+rHaMoi/4d7NXy9Fd0s0woO/c8g6W647pV/R2zLgS1/dpJaWKF/L5CRyVxHCgc2FKdXFhRBVpt/1FTS//MjhlT5NGJHwj5O/D/UucT6wgWMqz/dLdPcG3Qrh5hAEYsqnMwDcKpvHfougKKPvn22Rkm0F/hcluKo3m9XeXH/rKRQkrGR7OvqZe5jC/Vj04H+v8z7G1Xj+OBOpIS2b3svpIq0SrAZc5+6Syud5ndlmPj5/G6ovHS6f6TDkKqOZsfRmqOq0iAaObaV+Hr/hZXQmJ9r8Ume3BXR3R5V5yl+AYYL2y35uYiBARotVDq/oPDtCAd9tkN+x3ORhZ4B4DruZp0X7zP4fP9LqkZ4fB7tF4qdrd4ZZwazXb39b88cq9jw0mp9453ZT7L5yrN/1+0smaz0ChZaVn/vakX9cm2jxyRaV4Y6ZKpAeXIz7gBV11zblDaZeU6Zk6CmBSHkk6YXepXPxl/5sJe/WbfK6xsq0iaNXOy+aJqH98xvbr062yfH7ePa/snRXM0+QBlDogFeR+HTKrvpP1kaJYNYnr54pVXa5hfMf+Qa1+2aeEj8tBsQA9f7MKMosq2WUm3j6itL+krmIpkk0PhgDD3gGq1/AjHyIqtIKbU2wIc8xe3ylZ56t5lvrfTDrtwdVzuO/APBXxLLOuOy3k06/fzj0o9V/5vCNKwb5jwcsdHHnYevwg1rfLdJdKNq+jm4ZAOB6NNK7msc3dz9H3VxLFlJGL8hzZKCpi7807zbrJ8sRrZnQ//x//se86sCuHz5A/rS07c+4pQh99qNDGjWOPxGOJuVMW/EwE4JixRUxWNcMsztm8JhLVX70O2qguFZWivPkzz+DQ0eG6zWSS5vAV4zyzgJ7Jn799jciSuihz30LJcrscaJkieSn6SE5pZAOSKlJlgeI00drrSMZLveQqhyjqaIWSi6CVX3FrioTE8v0joy5AgudO4XDK+2rTKt8E9DSYqCterS2ea7WB0ys58dPJOf5OZhYfaucBc3NJVDPcdlolRQWn/Oz8aFXJTDiY5AtpLvRycfCEgyVmCPp601xAHu5RwC13CuKjQsvrBYN1wKIieKH8NQH8q4nb/LUv0P27hvGHUb1fP0D7GjVF9FRMuO846cSBy2r4Cm5P7aJt80HRHsTLWKkwk61uOVn/FWG1Ld4Uwlm5wxbpL9/+k6SDh/15+jvoaj5NhHFdp/88488+Vov+kOMOgTowqlCUDXDtCbTEYdN3INk3NIV5ZZYB9q723bl1vwmr/bxAxt7wfxAjnre3naXu7SwMGPrOjQ+UUwszE4rGI2iU780jb5Rx2z9wp+4LYGypZ/5VU63y6GyquGCBWiFSeEkomyc7IMInAt+YPaCg/APVJAm+YDllcDPF3LutfrGWvS+6lCpRy9MM+cmvIY3/oGp7Ey+K6bS9VavzAHAc9PLk6ThLtqReq9LafSfvBt4UPkqhy/ZWuVU62/0NnC0x9JP8acLumqlR68+Bd/N4USDgP2dhlIm6VZkKkR1SJEj39G2zBWLWwChauAhfsfbpfYlteuqxYxO3XhqikXO/TXKWyL2i3NxufLveX1JrKlKuO61Mj+BSoFO27M8wRIDgHhVdquSoLa1bLScupeqerwWnGn+bEkQ13eylgN69zN1afE+nvePX/gSZC92jwqM0XXT+oRp8yaeLCIsTnmfSbPtSaQgBwfZbJcGN40qytYGThlKQhLWQ1h0HP/n0XjHmUfToncHDg2C/Nl9e1cvSxdpUCz/Kg+VJ/AyivQuxGt+3/k1TOT76vlZ/bdzVsC4PykXJF7Luqb54ujBweHuNFl8tZUrfjetmZYl8XyDqJ7P05ny8Iwvtl7T02j00HLlYJf0tFmxDbKryoNVcpGshy1YodMReSCAulDOWj91LVSlMEzGpMxKLP/F88vfvjR7ZTskBtn/vRl86e8f+d8YGTnD1qpmzmtFljy9wjMY71r2ZPZzuKLDut93ZYYL0Lw2Z2clgkPG1RCpGp+t8hrXT2mjmqX3v59Oy/Joft93hs+fSxH9drySnx1pX0hPP18SioZNY67DAIhuULdXf4av+ZS7Qyw/Rl3G3X5AmT+dY31ldmJndmA2j/baywCPLcoV1XBib0KTHpJrMEL+s/8//+t/RPKMGRW8kvfLJIc6yNEUpUQ4QsVMbZzKHFGjSTPafJAiMqp+GPKrmqxns3+DMpqjCDNLkVRiqn9Xb4NpSQ7yCRdG0czUBlJfh6CVi1avd8Li8jajOq66hW9evwCOLpDBvLIb/pYWEF41mXREcu7Wb5zhqA71/WNL3okpf5p9PwD2dA3l19Y8HAYG4yW3hGpKsPSqyohCeQOSVnIXOff2dTrqAGU7DmkmknefYRGIf3ykZtneq/gUv9GP9e7rulM3FJBuqxtKVj+o06gROqval49gw/ecdbC9kSH2bDz6vE7uI+ugzHNRefoTLjHvRT1yaKNNW1AvLagNh3c1I8QX3tVv8px9H/JP2gMfP90+EAhLb6HQ/JW/vSLbVvi9PEpSGFOUcX0NPH+6mrlCelDEbpi0etix3TTPOIPdtPLVquCtwoIvQPddzxXG08TWwpM/RcS8SwtXxxGeUq6qcPVU4v8kwSI4FQtLKuM6Y8wLfKWzda/Cyluc2rr1sgd4fwDZW5KR4VZQn6oBQWqjvfbiV4kXk9578EFZfWx7asHrwvMyV7qLmmZxDq8/pNtYXqbvn1JTRkRcZKN7zJWtwgpycHNEhe33hbvZkrDWoSTCMqNVeBPDDceUwlD/8ow2VdeP71DpCwRXKH4H5qu0+HWNO5O89zVrXfiBvtLy3RBWCWCB/2YfP2y8TNp362Up/2lX6l3qt5p/i9UL+3US1C6gjlMuzrfe1XMXq4R7P7cEFnpGUmmDrf/g7vouSHmknwcvlrQZ9NFK26HxWKTTTrEq1C3PhcjvCJPaZuhAVwML5/gNC1eiAQKi/+Nf1VmDzMnPodI4rNlv2H+5loa8Jqe/TH8BoWf9KyQ6uVGtmQd2yeUck5f2xopQ9hF7K1WcpOtNMx+XdnSuEuiv/gaqdqXx7IJg1ArH8g0qtcDobYPhuGDhN3maeenw8aUnln5YYT758TxPwebfBzgO5GsbXmCK/+Ke5Mzr13o6GPRuZu3fZF+/DMI+0TtJXi2j7Uc8EIk6+ty3dED3plZ6YElyRCwC6Jw+nqipjObdE7jDXPSQtu181yedxD+Qq5YvBAnax30MPIutRKfUP0hw3zePn5tE+QBivsAg6/o9JRTu4BEswcBAsllq6n803x8R6q7OIuBtAe/cQDGHqkCMip+S/Jkekka3Xi3fEtdyH19MTjW75RHN7Pf3QSTrlZ7z8CO1OcAEb+K1fzQJy8VRvHkWmnSxkurntMLU+GUIzVPZ13sS3M36seV584oF8lwL8FxpHSgJRAsfSrcnebkhtgtvuSSJfpo0Hz9F4iorCmX2gfJE8kI7E3NfbHi+oyg/GcivtzrNG8ZNR1Mgt/x//6//026shfBtcUIMpUV5hf+VZ7q03Owy51d40BJvnRJUq508uvFO6I80FPZY1aymuGTp2v9ungbHbbedVMvg9anJo8SPdp8He+kjofU1QoPEiZiVJbi+q24GK5W+PWNV8lGV9kgf1XJI59ONOH4deydeXJYKBYtcI/1kfnVtVlvSW1TSy3fJjXR71TWTQ+iUlGiIzpdQ76KQBvTSds2nMDLqv9rbIQmhti537X0wSXo00fxccnxsdRAKUmt0TWpmg8ksnYX60OQfHZr1HHBeWs/a9jMJ0xrnRQcRkQ72vvpVLVR8IMqNngfhIEtxchZrkH6nz7r6IZdKiSrv2EgXd+X3lZzdhwDHvZaNPd9lQ5JJj1jcab185RuC4b7pNEt8vkbXJom1u4/q9FFoghq6cQ9A1OK2oDiH8aVmzx4U6yiqWPWi+tN68GXK6ZQf0x+8KoDoG4H5UEHL0v7hCHroGDOWfzg+V4rzcAsWNU6YPELQ4iChT1NCiWhHeTyLRwC5q9P7l+ABVe/qmcOwasfD/8jSjq4tkOK7T5k8ErGKm7HXNBW0moCPvOozAentRs9R1t+dxEmAxhcSjYY7ftZzbIAGVxSogguAmwOaPjr+Lnyp9+YZ33fdakPSQvTeYfCjNROCs/VzS2TvSxG5N6NY/rHlUJ+06aXNG7HlrPEGmUWUdA7pOKk3H08j2fmsCvP5cX/MQuPacRhH8H2H83tp7pjZ1UdfL1uu9Oq+cPm6bbuJuK/SHf1N1D1F7cWC/4CeHOa6cgws4xXGlE3TcNrZIoFa9LxjY+XV8zAK/ii6+DrJS1aCI/QfZJ4rOhQr4/llhdIZFhRFqkXEPN63AcQJwlT0P1RLnTdsk2Tka5X6WpFvatkhJTtnunmStuUmouUm/5dWo/Y9FTxHclz1Jb3QNm3/yss+2UNKbsFr+VRaPTRXP7eavCqPyAn586Smn2Z52GRm/1NP1q8/mqsIJXVJ33f7C3El2x91MmDlJ/vOStn3Xf9mlee/uLPF/zgk1Tz2UYlYXuP1ARpjyOh/8FkVSFgTv/66of4IslYO/hhwboi3jZhSBFdBK22cp6q5NBJl0+Dz5Zp8p+VAdIB7phX8Qu1A5QmrAp2cM/oLsP1696q+6EiKnov3V4xxfvJGj2m20lw4udJfoVH4Bb9F/d1J1YI3tfPFFb1+TQ/PJ3VM0efiGazoKtTGdPIHHOpjDOYBjWOi8HNZVpCtIxbgzNWgFKqXjH2Yl5S98g8sVYmAyzTUD+++FalhOtHm5DLpdLNO0qR+I1eojLLPeF0uZ1hDxckuZtil/8XL+k3mr7XIQYCT4si8zgSstK8qv4xX+UGhKr07tt4KmNXx4uitagmFlHZNjWlNdTBMJ/AY3KWGq91osy2b+PNkTjDeRjOPqRzIV0dhjLtU885zkVePme2nX7X1sIeWqXel10cFzPiJoD5kfeVNxDaZZMJigXmI8MO6pqETgPzE+zwRIoFnNqMdTtVPz/AeSH/5VHAedobYivrU6wHNMfu8jt424Ewlu20jSr4e2HneEtVB/06kzfs9ufxGL6VrxDurYIqleqed+yvTXBqDMQFHj3uZYj1UzxeZHWu1uB7ATLrj2RhmWzc2lMnqDFZ0Iff4hNCOKHtWrEkJAbyFPihB0LtRsgimg+G+qp/fM7Shyn++Emi6K6HmJy11qqAzW7+9YMB3e4yeOjoslKrj7MRsyPYX0+lT5TucQzglv38ahTIvn7AElRGIm0UVASNI7MTaQ9hJFlDoBsnofpxvIxo/aNZFrfABKFqUR9jcvUKGzVDLFlu43JQU7aMOF/FX9kinOUD6NVX/nR1UMSolQXW+5UZRiLqCMgbbKh7gw88J7L9K6hgZJEnb1u06dfsyeqX4KapognQwbafdw8t+PF/XA5TkuKN5yCQLVUNnS+PjNEGKpe9vkwTU/0cYNAel5U2T6KUG2L9Y0S9obcp3FJwjmsVu0Cmxfz0P5jcqSyoI8jfPQXMpmfdwwbNud47amFvDnDqfkRXpX6FCd1dflcl5QKXfbPRaU3YV6N+BdpuNjdvq+noLVIuOab9X4qd7+hKfngKyT99XXuZ6Mjz9BQ1mpinD1YCX3iKmtXlTlt3NGkertEbPl/xEJtnSVMQYTAYUjBvai7BnnqnTh23sF9QBZnos37GAw7JU150enkeb5D3LZTOD2O/RF/l4SuJ9x/HvpV9O681reTh6pOwbxc/KvEB0zCqJy/tOq9/6pqyq6x4zpd6i4BpifkkATAzYpDZQuhW9+70uFb70NrTJ5Tq17/OFhi855UK/Hfow2xezQtxcRoLR+sxrS28PhQ/LfHIu5Fen6KFSPFIItzU+TxHziPXwklytOCJxwwq+qb4gXRWzF9v4zOsTmUXS0oU9GNu8lJkjq3GAuxNfU0Upryu6AE0XsbGo4JikXLFfID+R5QddSptwdteWMsi3S9ZkAsIK+EEMykJcTQcWwgn7Jlhqtf9VIXHqCtGjd4Bjj+PUl+BlKZczI1V//SfcQr9T0Cav2FUqZibVOzNN4Ww/6lCyB5GU/Y3/zzRYWVjQFAOoKP9nxp7/lGr/cf7zzI/1jJ/H4/mP5ZmxHv/Oo7HGmufBpfM/juXHfrz/GT3P6+Sx/jMZ6z+Pn/F/rGfe/zjzo//jyf/r0c9/PI+eyczY78+QYPzMPBp8aZ5n4vz8PM/zePxjW56nhZ20mjz2TDyvnZ/Ij9k58B/P88xP9DMaefg6zMdPnnniGWnGY81Yg6mnRxnYitsiPaPRNxSvkfcdaK8RMwR+/Xq0MzOR3tlY66z/5//zP/5/XP3RtmTJbiMIAjCPVPVaUtXDdEma+f+vrOtGzANA8+hWd13pZkac4763GQmCIKgcAnqrQJCqYK85IIQXsS4ziditRxdMaEWdN8MbqxfDdvmZviG2m9A9Te0aLMMeFlPXlhR806LTA5/mwBILMu9KGxjdGF+LGT/6xzj0TSL0iydFld4G6huQ5M5FbdcuRrIpfMRrfDSGwrcNAXxhaeDDyCWdrI/llUrlhDstiY+y4S/YkeaU84gcvYFBsZXym1AgQtoGO7ViPdUqhT4rP+JF4lx93080GcclfYa7YXJamwVA2mBV5MqHn3JENUbYBOyFVkvLsVL8qpC3DK5baUJMYWhRJhw3tCovr5axW7zGrW7MZ2dRjRHZpiHcoYGMfhFxboIJXM/gA9s1QIYxk16P26ywRzgsHRpKQjtAmZC7JwJGiKNVSZNJmeJdyT+68yfXJaNKbSiR+zfztwVszU494mPz3OxRhD08SoZkyqhg07RdEOkZvsHg0VyARL1hOtXhksR5hJn2bU74i9UNjnJY178YreUuJ72dx/j0EST78tT5yQ0QTvpKFZwv5Ga1dEvGX1GVFy/nJ3cFMXvc3ZkAD2us2kZq6LodS0nazZEPMHQlmqXw+OPgh9ZV7MpXV8RqjFO5t68SdrsFQYYSQrs6Pw8s/YYqr4L/3fu8v3zj6nvQIWyPfS19wreco/J+aFtsebrOvheGM6EQ7fYhasNAmvZ+aNzMGqaVE/7Vvcf5w89ywJmJy0QtuY8pd5ZlVvpHUcgcelK/18+FGJGLJI69+j+RZwBeRRj7muJYc9I4955wouvo2NPUymwPJIhDfDO17hZWe31bffVNMI1Lg5pxBGB5HZGsntjqYI0etx40QiivOscpWYLjL3DMykYq4SDf98gxRCFviTsleaVsD/cF/l5CQmPGThNOeYS51slAMkvpttHcv+k44xVSrm5DWxM26ABg5nsqziFyIVWCgZmcK3DmiVdRdz6PX/SDhzp+K1DovKn8a2+cR0lTcjhndOO1FZDAD3HBmTkh/q3zMTB/MprLvwLTVsnPMC80+ADPXDDzNQYx92T/rkXjcr6jO/TX/0LByfWxv7nztu9dQx74L0J6W4ap+VOvuWxC6ZJtRvP0/DrszD4Bdjak8JllLNY0KJc1wzw6KUCmp6Aqoc4BQ4QvkuRIpE9H5i/02SSsJGMNfhN0Wscu+P6a6r84ROTCVcSnNufeGe5XgT3bz+ptNhCnkdfhCnbptNB9cSatZY/JQ3hYxbsrnXttNJwekNUGdcjzU476VFSHa+lA11OlEcxaytkWz1Vm/FOpa3QPTn0YmMEWZiJ3dHFzfibgc+b3DZVpgX7Ulnn6+itGP59ZWkf4favzzGzCwJ54vR4Q4pif41Vx08BhyQotaHP202+ezytSXCMSqfLimPmwZkeEM8z8fdY/c+5oKyztfuuWY//3f/5H36xJpOOTux4MZN2Cwv62vtzlypLIQ3EzzZmNi6iosLsAIM/g+KT/vNi8SGRjtRdYeXEFwFrJsMOdFb60K11Ff1X5uF62rKx7rBebPxscAEyHyZW7oxpEB4WpDo81RypTgvd5QPrunQKAAdN8aj84A1yuHsSmPEw7Ir8yLyOhpfCgPZQd3w6CXAewvOD844i7+pSijDYi1+m5zD1PK9hFNfvdI5qxh+dzZnzq4Fd2KkksPAuhKNhzZEO4dJ8L817dz/0rqVr9NvfJxof4VrQBWte37g3Y53rZJBmvhQBWENblFXcqvuUC+pXQ/9J2dAn42/szgO542Ut4rp1JjXIYnPEl5Ixkuf1I0RXjNJQgWiXwDdq1DMh9iaWU38uky0Vzs0MebUQ7sWNCMfT6/7aaTtRNNR6n/L4s9+oF1y7NORH2kpwuA9jefJYmLlj3vqGFS1p8Orji8bjDU/FpeLnbdYF4Zdbeg2xMQUqg0Hchf8JldwS/StB8oy407PGL8ZD3QpUS8q29lpE/VDUTgkpBRi08QP22UruEsSTeQwdAnboZksCOp0X+1FCJH1ThRrcwbKzis22+iWbknQUXfkiZjlyH0fFP55GoI2xa2h75bPMILKpsLR0ZVUS1qngScTCtWDLiRckZ8X5itZYsLwJscfcbYWQkfbHSy5lY3FEczV723eWRsn9reuJH9oToWT0DWvaympRA0FYfUHjnQ3oyjqFInfvciy+m0GI2NbXAWU3lOEvs39FMcMY+ePjycQJTsqWEayYnkZMTE533eRurEoFXJ8fFfDbqU7BFrEkyIuS/i4MWSqk0/NCKX9nfJgZ/CbRXKvtrGYlHDvh2SjtCUSkWMreo7TcWkLlpdV/Fsl9J7iZKpgdnJOVya/VlmfBS8RCndzVa6zze8f2wFWy6xHLOgJ9sQmnZdb79lOh5ThB4nzRPoRxSAjfGlqT/w/nz58/lxfmjz5C83kl4QOId+PjUdmjpLCO2HjpPGRmMmbpnJ1n+NTPDa/yrcSdu+QGT3QMhBfSxsfcxCvB5xMEUEsQ5J7Yrc72JkJVH5qgyk7zLu8hAPJmqW9VyAq0N0HN1B8jAy+FMJ9cWHavXZvZ285kg5qm37ieZvZhQoUS6k1gsEbeCjrdzMUc6rc5xy3QGlr+QIw7e4NGTpk28wPaYopsvn3pjEZDJrXHbA9fmJQ4T5kJeSLwAo9beitWTMxDTEsQ7PR8I17b9IfstIz/J81cHV/N1iPa3hBnLHyhSlRWmu3rAfdDEwKeYRu5jcU7hsf1tpRXmL+55OZoqETGI7lWxWW/tjnaE2DyD9rRPE5kz7N3hr/AfE1Yi47dNThtrtdrPIGEMYRlfBbFho/pKyhe08//zn/9+HHYmSprRnOkhNNZqZtmg0G/2oqyk4UTOnxq87r0pR0bntHeX1BbSDaZ/SvEAPIoz05F/7xc0GGFN3adq8sIKbiJi2m4T2GHCzCDqVa5OW8JcuAUMlrpM4clWGqX30tDOC+Bp8EtsuOOPjmeyyZuNa1Ex0zMub74yhuajrUVmBjpglIPL8Z2dcUwUaMmagw7mvqA1eaNSrR4XTLZ3mGVtvsSf4egAw+upNVmG5zJDR9AWDzs1o4SC006el4Pv2pg8vEgwI2nLI215+6qLbUD/PxCo/dRzOYGZq+4ysQDGQB2XILWZgbGTveBkEWaVTTSHV0W8LVGXLA+8Y8nr7xe0v06HpcJFgl9kTie99CZk5DG9GJ7onEq8qvy3WEnFvPqlDW59sOCmW2e2sQYEMnDPVP4PGxY/Wm4WhZ4lofPsUAsFNU78wFrM4ez02TIuiraeUq8lBgSPp9/UH7x4dEewW51UpZ+jnARwsPiKRPsuTy+AonigDqeMD6hyYLAfNVP3bFGKBxQeIAc6jlxrTfUhIPc9mX2dOMOTlRrUzqSsfx3xOyvtlGEr0yn0K+FfeWxfT+D5dZJbmJS/6M8Sgd50qhAYSIPCSfWjeWT4goDNssgci8i7H4F4h6Yha0vwVwFgmew7b+nY/sTx+naw1Wym+FJ3u2VvyYefRjyBJhWW58as1KXdMK9ebeOx33yFaL9GMYjqzioYJz2bI6IHOeiwZ7/uJP6H9JEh8hupER5j3q9HlUtcAdJ7ceG64wHSP73NhN4qCXXgCNqJJWKq8c08+D2nnFPuL0lcD5jQhbH2uk38EeAVFzavlwFO9UrcfAZgrT523jTWDvyp3ZKD+g2Tp7gfB8QMwtRs6RI7SZJf+OQ1OIAgvAFBH2gJujozdRtZfv3WnMAkMxTKp4E4G3S00pddpIvy70WcnaGM4nMqtJ4N5241o8HVIxlrhpiocEl9NAqTfPDPkcbT8b+WeUkx65yUaeNl029l4NzSjygozrznDL4X9/Lr7+XRYinfQIqlkvLs84F7iH4GFWZPzUKzOnJmC1AgcF2RWmWirNF4iel4lNUfjYuVLnGqJErbb9zsoSqt4LzvTKPfRnd21I/v9HnzUKsfwCi1D648EotGuCPPsUeJ13ZTe9yhzQPfXP3tSODhErZQSm8wy5e24PSPy9wuJiDoJhkc8nrYYhOKexHr2iNeQBoOLgCaR+fKGh+27dNp0eyPiKFXxngH0jAeUi1Q8dq4Ob8txY+dDRko4jkTJf1KEIce8szzwoLt03GTCLQFDeHJ/FQO+K00FpsbRVLCfbhieaJ8aZa1cSUx9WT8rSlw5mkjlIlWYjD9jKuOKTMRKzDg0prmv9Ju9AHvMjD8v//3f6AnMPVq/oWonWZsf2vQiib7MLUcWE1uezDL2xFRi2IRBWh3weOiqRSu2oCRQPpMi57tcU0Waljnl2xgz2Gp+tIJDeS9GYgEYfrwy4A3+rfVEETfGcjZlOFt9jBk+0dCnESBlhJ63IJ6MR+36XYO8keXLwioI91+wBCkOWeyI3CK8QqTMmOzrBS96RjZVYx+kNwzZV1bgYWSGmdzR3JLQBOXuSr+s3Vg6+TTHMVzvf5Zay0ReVA86Y5km6cLLuwkpeqAgh2i/ugFZYzrG6ke5GwK0Rb4XokS1yeraOhx6T3d5f0w+aoDyPcqiZPm+p04wU4YjO3BTVFvTEai1wg5A3CTQTvXWqwsM+sR9l5C6k6g/RxMAFm7NaUfxxtZS/Xstosgk6ZbZEWqO96VY/02abXU867WRRGZ1w0jGNeHvLNE3mKf4p/lbxOL99sgCyXq3klsrb61chDdInPUn8ZoK6AIdNZVs7SkU/3nqakh36yTkHJ4jHoycjnopqn85m3svaIC++sWWYddILEDZO9bJ7pFkuW1hiPu1p4Vc/fXJdByCZtdS9EvzZ7ItIND4GVPt1ep+PDlWIfMKt9oVfjrLZj8tUAi82rPQ15XmhYaYO8QFSSW52kt5KCQHR99v7EGIE/5mEKAMh03b3IjYsvvPOUp1k3RlLeUrFOZrgZXSO/utmYsFyCyJUGfXMzl98y2A7Wn713dHFw+vrML1zeyNRnQSaiqQKa/OXnrR4563R+8eDtnpUqsDbZ54h4IJxuC8OiSHqxNw9WiLyOe6zD1cE3LbfY6bCQadJiD7ZqFsCHtKx9ySiTm1cRKOIehaow44HRyYwGb293q4FXvMrcH2v+2mWq2jo6UKuAwnaLJknXiDP7uqnhrRDqNwgSu7LDdBkt6V3frauJpxAKc6kthOsZBO+cSd1VFyr0RYhkNpajNV3a253WgTvaI+IA6aRn50+FHAP5A3QChlydXrG4Dw6thbh/oKnXDMkLAyPp+/4U7uvS/rqMDwwylm6+x3Qr/VV8lgTTKYNkN29Ot4i3NejMRJu9EEVVBQ9kQF9+18ZJOVDossLf1nZASYqZ0qoD0StN6byrkpGuRVo5hb5cFSdnY4qxdNTuKurvHPmN+mC2hCOJZGphTdYfWcCWTIqH52p53R38vdQbG6ENc8rjG/agq1Th/L0wvkeCZc/T1vjY9dAtCvtOeyof20dlMYkMlLy/IA95BegKiJvZWkV4Pyf+zZDy2ms9B7JqIPmaSmS0lWO0cC5wK8FDZAAxlcNayvqFopzeRQScXOvUBKhJZczETYedATgBXT4mX7NjyK7s9qpVM/M6WICFmtM8ipxfeh7w0J+NHU2jVBm1ppXJ98Ey6vmVo4BR6IV7YOyY/eL3ElzM7GGuq24e00KOSCA6SraukZnraxW6d+A9IsuZlyXx5WECsXohFjkZqFl+gLF4pZ5wAhPAdU1L0XBDAIUTFvZIg84BS00JQgets5gxnapk41CHQfa0ws7PcFZj3BCojGFKEXRBh0UcIp06SOd5HzF5XpynDFofTZFlv4Q0BZ+ktM5NU7SxVU8QElgEBKZAKRQZl+hTtPawssUnXTaw8PeQDiVuxny18CXwS0DwzGQo8qncHmOrP5JTqgY/OMXlr2uGREP1wX4Xh02P4Eqg3mdL4sWhb9+bEscKlpvwF/xk+NklpWmiZmp0rcVNO/pBtx3e4/yLh8Q6cLUjXHRAFJM2jWVmB3lbfQYqzGQBdFmYNtEYhaVgmM+bgSwCOF93vD1MhEQa2eECHkERx9HVyZiXMyb/wzGRRhBHYwS1fFPjYMJfalKZzKtvHY//HY1w/iNb552AN0uXtyGLSZPiuQCNXzZnBV5PxDsspR4aPFv3TI0jIzRTIepSjQom8W78OypZUXOaqcKdzhFh0Ar96MEdIRAiRZhfnYG2TpPTAoqezxyTCoJ3Oxt9yrJ/iP93GTnDWG69TedSfHQT1ZEVZLyL4vspfWDQngqyDW77JJSWlrRklH/qVkjEKHoZiRtLy2sgO6BCfHwTNPGBJGO0D0WxsW872QRr00XBTA3Nh5/RK9tLmMYYVAdgjp21clHXNuH5uTn6eN6rFx2h5xwWTFdUR6Dw7zsc6lXn3PjfFEIYvIW0xk0TfozONEapMiUS1yt8GRyYftN1pYnsZ78O5hWyK7+SoMLfKTenNq6CCbehx25+1EfMNd5IjV7prC/uQFdJhAvM+il7cDWAvLab4RTMfQGRuM/802Cn2gqDVpSqt7dOYMGCHXEsgYxEY2tDpqoO8rpziLRoUq2p3WB9LFoyluKgUP7SCPShlqWEJA8GHnfkqDNEBjO8WwKGYYiPDvvjG8zQKDHuY1TQFJWhHGqZ8vL8KgOek8zT5azAOqKOlysKDBDntj8thSE5mIyFWGNuE4oYcivGPJUNzsssK0gY00jHonw8sPMX6ASpuvSE6Qr2TS7vOQG7bJG3cCRCPhmEGdyYXpDKM1RDsm3G1Wd4BOoyA6Gz4XkK6WstWGNsfbZ+MknPIRzA/H5y4MUNKGq5qBR9ciOInIME+MqmD1AvzgXXIT7nc/BZCHwLEEUUcUPwQiJRH4j/n/HP0b4efwz/H54N/Pvpz+I/058OPcHSOKM3noz+Hnw/5x4f8yB/5EB/5cw6pEyxHmDifkTKMGwZOLeE2P+4COOfKN/AQOgeHWrOLwyNRBxR5eOj8WIk8yjPawB8qp4O2B5NIrFyrnDvn0YJAcHgCdHj7xof0w1OCAMhM97RLQCmcJ+HRbeSV2LXbZcJwXWI3//O//+vfbZY/AEBzZGJLk2PctuCalL6BbQnwq7ZaV4UEh2SD1tUoktsudjHO/4MFxGY52riY42eovVVjt8urdgUN+uxkZYsagJBn41ggZvJ6aqRHcKyO17u8Mx7d08kKbm0FFIYnCxhBU8mjHdvdaRnAmJJp3K8ZtUiMgHqt05tYZZa9UNzscE8+MKuCsJp4McsDLRgukC4o5etBtkpFS4ZC6ta6xzY9xgf8NppNbuBaz9VRNmT8bwBPvl/U7aIElZeRQGQKO8vnuT4hD4KH6e2k8ll8cWkKz5wwN3jsjgRe+cyYqgKxyasMTVNUjiZ+MD8nIk0e29DcurBMmWoC5vhu8x1bkJRS6nnVPuhHR79HnpO25y5dRzItZZDZ+BHaQOHWZjHDkpCFiEFMCY1t+DUc6WcR71KeF0IdZPu3/crGMJDSYTqCrPlx3lBpVvg1pJI2ar04gfvbXljSgY+nLTf6/nLfXx9Lj3TehJfCICjPt62RAuHHHLeLU+jdp78MKVqbFC9QBBi1Vu/hXz+tdRU4HEVCuMMvi0tfy8id0gFAcb4b4yf0d5Znt8ET4O9Fbf2F3BLknZpXqZYmL62WB9S3R8G3W0x6rZ8lfoJMs/Fe8Xw5d/GZOzHap+vtg3DnKLphdF5R1MjQiahvws5rlC2e87w5pp5vEn3wWxR2MsN7QXoTU26u3gF7buGVb/XteL2NHtpPUFS6sTuCbgJ3RjtuVGaKxs1B9EZcYnuTeZUathGXCGMv/bxdvhY6aKfXbIBnr00GzhpH+lWiFSg9lUZQgO7sR0BJUjZfuMHDmA56Rn7u8ZAxTSyrU9p154IAPulih9PE+TX2tnJC0Cbfp08CdMgAuhLSV+uCnalenXF3R+FZbbWhhh2VcIoNgtcDHPFm2n6mI3jp7O+zW6tRMsLfGHHUSTNpcZCdU3kryJhjSnRt1MgNvhIY+p88Z/2e83uUBT5GxQDxcMvLHuAELpxWPC3q0oUZUMf++l/2d/j9zqVocXxP2d1coom5d38mkXS/4iqnqIaJ06qfjgFb7nzHTYgGkfdpvdGqLTwd4yZKOQ/bacLHf+9O4UYDVdcZLp0R7as/6X48m72EMi4flc8RpLPxP4VoB7Qabnp01JQUKpqwo90eAxreTdfG5Rh60948rEKKOOQFcXDSL2bBg0FNBy6NEkZjEB/whlvthPCnE26vonK64Erb9BS5dNhMZroaIe1bch57dCCfehMJdGj6Jm5Xw9tJmxvXVHZ/V0Hai+HpvrR1kFtaKGJfA9UsVB2TDxMAGc/4QjWBEVSTNWxGeWN7pcgwagPTfD3gB77i22EVQmci4PR39NHs1Cf/XjwgAIqvmDpp9legjDnmf/7nf2xS67qBgvoW9lHyBRPODwGtygKpXbNjFt4u2sOGnGjKt8vizb8EYkecYFcVof1lpSCNe1jm2B9VuZgX479ElX2gsEf7y7ePJTwyEjsOlJZatMk4nG8ZHHBi/tmYakfNAhJ3HYi4mKLKhnAgRNxZvri8tErBeQbpc+jO/IqiQU7jSadm3ViZTReBTjv7XGlbvgrGdvyRt78Ecq4LeVMZBjT9hdF4Vg3xIsGvLoC59UbjdrJmfxZBa+OD+RrpBo6j4x0TmWDoQGa0V6X5Fu2j4zeo4hr9aZaPex+HOIz2mmRdoJcOrOt9gNrFJ8LgMEETO6iVrcqrurkgzDvlXqId/EZ34wy69ciVZxyAvPDRqzkehG6Vqb3iLvRpbejNzpHrYevVx1kvugv/7Z5Tz8lzL/PeErKwsAiwdHWSTmH/AsZMTtu3AG3LwldtBEmi3kSJNpPF6Ng3XcCfXlA4ih/c1374LcrVnBN0xN0csInTix9BZy/hA4T7g1rnkfD8JZxtbR+sFZEtw0USCxyCZas3XlsQ8p031nOfO8EM/CUoAGL/l33DM7GB4GqKJoJ1L45+IpMl9xJqUZT2hU7HxIZ9FSn8EnO31/9XNyDPUs+94VUBC/KCHQvxNiA6/Frle4moUw3Itkv4mjqd7RjffMzMOJZxUU1g2ghWeXCvHpxLbixSxW/Ci92wGQQXufivSk71nbBTG5zmxFDsM8b6ZcI2Dv0FWZcoLgvU35YH3cAHVnf3kFhe9qDyEsG4NcdLOM2LvKWC8mWahWKbhp97WGuEDYLcE1t6A/vnXre6CrGEgLyQkh3jQu5Uwa36kvPAu0s3NlPvN260Rsp7oN179gI0sONQxiwnUsokb2DlXft8u6KioWAvyc3CyLRF1m8uhMDMTZ8kEWo/Jr9GaESLFYS/3xv4Jc04sJdF+No5uxAJGbq1c4JXv5Dh0Ds+zKj3If0Hcw7/iBfX4CnV7VUaeHMLUNlhK2LFeO3F8RaxAvyd+Rrf7wDnX3O75nMKZPLj1y+q+lvn0wHY9Qa9Zvnf3r4es89lgO4Cc4dSYM0WwNUVR1iT8hBTs87niLezvHz3eTZWNCUU7d9KjUzjllotb1IyMMUW8JYOh9ByM8izrmuj8hD31aaXOB0PijOqbkKxO3aRxpEmC5yMSDage/CZsXVaeABrUTu27IB2VeEQ7rEpE4TYEeHx/aSxST90zdEPcGQYdWbH+RegWKcxJwYf7pOJgLokRIW04+zc8m4aOYNJEQSy6HVLaXiAw6bDmZfcf/ZnAr+g1u76sD48+XWQdeM49EhG7UvpIel9bK7IHynpI2/XvQnweHLieNvjtajZdr9LhNRnaaYPG4YT+ARpsKmVt45jkTQu+1nB5QyA7E731swp9eHl3F2mLrNPIX8z2oUGgLBTbn5KnYyHMGru1TBccLhcRjYILXwSFGfQtdDwYCZOzhtxuRZrWj6rPM0NFcZNz9qGQsLl2BHrrM9zhkziPnx/+CZ4WdYhQesTboggzhj4JldIwkkUkk/ooNF+ziZYtoYV0ySb8dQ0XtE150pbok6WmCWQFKOnIjng+WtoJHRVoFROdURA1RsZLa/aECXGMxOv48DBGVzz65nvzQqC2c3qGT8zDOlEVtCKEbJgyJaJu8xzTTDDF/GFPGSLeHMtUUxe/oWetFzynPq2Z/gniErZ9UkybfGpHssJPGEeQnl4Uo/5awbl5cqcVcvdExCevJlYK+Vi4D3FAta/EneOX65v5IUMB/3/7huooIf2osUSlEZo2AzeFGK6vF39lthPjKkveCBhUDCBqNsKoNznV10pTXSkbaM/dHfE2Iikrx2Tv+SDY8wuK0cqoMC7tIq0dxX4Msd202lFOBPPwuL/giotGjsuc9p85y0N0Vx6euNbc4fgSRN6/krcBWD9nVUssNVeHZNNl7iRkSCQOObpnIORMXEvM+a1W2K7JRtG7NDUA+iwjgMBIGME9hy7wycBti7vUDKZ+QLjnW8PRZQi5aZ6zm8mtn2WNzfYwaJJ77eeByOOkzAIYGDf6wvMTPqCO0+V4vQi6tvbIAHSpZKQg0Wmh8d+pbYIlG5OkSopQwPYJ8ip1yx+ZIksbHaL8XB+F50eV90FRvEsqtCWIk764kkkYRJNYyFS43Z0NE7EmrOoI+FCdc2hKKXBWIhvRLrbLTz91vVtwks83G4PSsiIzmBBzKRysofBxPD4zlQsGNyxoWRRq3+979z2PqBO/zfs5dz/ZaEaU7bctk4XwBX37dxgG/tqis4Ol7y56iaZmcXmnqDyQA4mQYvVOd87jUdIm2bp7OutMju+bGbheR7UsZERN01RAA4mUK5NnXNwVvuK0fVkkz2dYjyksb+PyPK7kfvf8iQN0lnVITy5NEF3zUQDf0bWJ8bwhjG089K2CHN/HHlo3WYjduVRm0K5ueXL3f7gwDfvu4mHrogHlfjmJeUHKJuZe3kQ4nLd6QCN3uW675k12qdiMkGcrGq1Lg/ZrFtqVTm0ef0kxAXIW4vnuagfjR/hGNJWq+dTDqm1G48/gmhRfw6PzgE+OOf4z0fnwz/i5/jI/+h+6M9nJHyEP+I/H5zDz8H/dfTPh//84T//4Jz5/Dn/Jp/Dj/Dn4A8l4mPzQJms0aUm+u2Itfk0cSHxjTiEEbr29Vxbc7/4gjPK2igA2eHJuH2XWxBB/xGol1EhXyXKq1zFsjlbruSUl2WPWANIwNX8VqWVPfhSvPGbLJVzLSu+pN7JMxBzyBST3tM4AN3hBqZ3wqpV8DjblE4XvEGquIMWDG6AMeC0p9qTQxNgi8b//Z//8cLxkO0Ms7TjtttzYw745vqJ7NnLsyuy4V9EZ4uJDuGuP0WjWgGPNZoVvAdpz1GNEonuq2cQU3JIR5yMNFF29ljE3A2u7RjnrYeKEZgx6Vt70R4NdNA2qNLbBkuKCqJJafIHuPOBZuMPE02TpBG1DP7yh7RncAmIH7vC6jE4vFnhdTcdttpBAlNx2k60YWdQ9DdF1vDhfpT1RfVkdkIX1zEFFwurzMGc1s0gcXP8HMjcqTHvt3P8sC4+kjEqtd/Ei23op0aHqTg4lQdE6et6MMfwwDZ8cAaj8MIt7nLqck4yA7lkF8Yj9PReWNpx3VCsaYmmSkvRul0QTGhR27zA9XjoC4OjUATmtuPvLVt10PNaUjHlRsFLS0QOvQPErjakDZpFq7upNYBjdRIOCwGSyztRHFzN2QPQ1XXk1vssRg9YTyJL9FPYCLMERThM77z8coN1Lsh9z5mKdTvwmkEdC6nxmvN+ZzswoexOZRQhjdC4mONfGsk0eYzL2f4Oydj+NBxpb3IewA/5u6hz2PMWVfIKFDqahsW2W72X3shfTjkVsUZn9suTzpZC/ssoZDxyPCgKL7JLgYyZ8O0DzPvNvFttWzkxO2gLhgbXhvpgE3ixyCxh8J5nKZwMYba70XK8dca+vpy81LouBmXbAeDDiYhReHFGpRhz2ZHp2hEXQ2M2rAsBZrMqv2aV/fg0uZ2ehMr+bkTA6O01GNix+fLk+UNlbK6rS88ABInf0S6nWPeuUhlTqxluGKlPX55xL8ie+hTzh2eWXH6/YBFR9J57ggvAxziaG8GgD/wXQMrv7k4WY1y/1x47zsDCSURe0r5THjXKKl0wxKmZV5s6bCmUtIOGPazneK7RvIRXmGz6eNU9bGduHph7LdvjEBVLFxfZ9tGGkQAJ36gNnZpUbR6tXUZ7UDmBOfn5ympVy8ShsUb+9C2GdWZ7L/2OT1lEIO6L+B23fDba0f1an7iyyIc80lEkx8KG4f3NdQTqraCKK9yGadL3dW0mJH4H8+X1fG+KDBSvgX5qXHaIKQzQRI8ddmDQBctsDILRmdd8d27Rl9GTNXKsZnk9W1gLkly/fe7Oytda9JSq+d2L14WkyktHQdeY3itL2ldFMf18gba/0Stzh1x3GWa+Hk3obCDuRtTgrskUpRNk+vPPFQ/6vGBc6XyMSxx7ssi2/Z6YcCaysmMoWWdUL+HA4B5qiMxGHOm0xz4Mh4qKWm+JmIYiE5zrT4mU5apyWcn2ui6gGink/SSyRieQSUrhW7NN0NvzYQbAZFhFkMEz/UNHVTGTM84S3vZLe7oJfJsgUsEu8H8fEBmEG/vs5qQSD2zOXfK+/+t6jk44w3JgaFsoIYW/vEqgXdtZp7JAGXr4v//rP7hsErAZFhv0QYesZQf8QyVyd6dv//H3u2of89cnL6Gyrbv9fBuWTGheZdfGXW6LUpHswyxcSDHuRlTmILsdE0JZEJSCJfMsy06Eq3FYP2cfTGuDkGs9TkOegM++mGZGZ/9CkMYNfbstrN7Ahb9YVJtJDYWR8oyH9z6F+FyBN2eiBkyBXnHy5FOlPD1OJvtRqwHIzgADIGpwk9ny/31CpwQc22C6Jp78nOqKBGc/tY1DD04Pj9oKY1V47PGo8TY4pk8/c7xiftgBN5ezIlxFhEMlxuH1bCfhB8syn1LhyU2FEyv38BOLsP0MTAEGWqPPVzxjXNieMWT9C6b5nWucgeibbz6ru8VmosUvDNuyuXYTZxyF0ddhA77phDDbw5LMog5YxgzJ9pPe4GxxlB4wuWMf5Ymxcg8wMa4KiGBsLi0dPS+jNNJJ8x7sfpCc75ZXLFT/obetDTKLmJYPtgJLaM1y26f9bpWQwFuS3piX6/pWvJUxUPqL7YMMYm3NlrWH8MX63WFXj+SZLCzgizgdrr9t63cgLz0gbXHVgLOhqy/N7eSXuZjwm0+axR0NYpw1OtwutWmRqmQnX0tqXNBRkaq8OtERmlAXRh1fG15K+hsv+xYv5BpGLLOe1asOGfhD/mvQ+eccysZVrQikYTd37XqlgoZxp8Q53/8LBklptqhsWiwZHS2PMxCCPLY1YawvN7FSuorcDNEPLVd22TOgzjWVpE7g15t17kddPsENDEvKeCvXv87vVsZp3g7Wj6A3JIfYe2Hxyi90RiSVzWA6zGQveH/JbAdxllvv2ZrumWpmdHEy3m+wN0VXemo4bgP1g21diI0BaMsttRcATzwMuSimBYDfX1vIXMbAyB4jAG+VAHZRN7oHN8AKWOke1smquLpvPrjeO4Edx1Iso+HiOfafIY2w77IWPd9ihGVPC4Sdymgd62IB9KUV4lmMXQDJOeSH1OHHviKiWYK7Gq4dgsLHXMqtdm+da8DrcgGpoGZ04e+XQ39v/Y8m0w19pe8FBUbOjy+YdwgLth6zv+Bvi/QwcqQOMdeLuEbAb7VRCrrgl6gxbDiH+dmBMH3kzda9XeldtCD1CNmOxSwHYjWlhS12DEvTbSOEc+cyGb7tEgOxuYxUB0BMQzlKn4Zcksif1BVRiwOfQ2cVkTqdCmB3w9ljH2exJslsx1JDTn0Q6XmamVTcgsa3wRRlfewrcqj79KSBi2jbVOTMCBFwg5lywTFvI279NOMnnyu7muoKuKg96DudZbIgexvAmybD9kV6g9pi4E6XUcEXtO7h8RDzL7aWWazRv2MadXCDHZLV9B43UcORq+QyXuY703UVO5kwuEtRdUS4zwfEDM/hTK31Sp5UlQS0W8VmhdyCytnatAwKyVKGhsYktEDqyogoHyxhp+gM3IzZyiwhn3LGQB6Dxa13ZKVLOEqEB7O0tbmDqbzCltl3e/TLxp3Is4IXpyNRNjykj9P33zC189wrBFWgWoZR6tqGgp33HFLfZGN2jaGqw3nkt9ECvUgN0kgW9aEg8Czv30wBdq8SNzEbGWQNKgaQMX6aBIkTUh8m8Bn8I4rI808LVzpL5VwCkqmXkyGHNntuqCzlz4v6imR2YyaymsTp4Qzm4vudGxIM5EVO743EJikq3n31/Abgiws7nhcys0K1h/pm/TczXux2RAxAbIFj30xth30ucPONO0T0b8y2teAtIKoPigmTX4dLZDRYxtZ7berscEjxJcLSPdHkgixNmbYl0CHG/NctBItbt4MRFMnk3GKHAeVNo8nz6utmouVsbePiQ+wKnSQXp6WBy1gyAr51XGt2USx3erU6yTvpNePBmeDHJb8W9KCi/Fh/7Z9MlSOiTtGTgrKzf2i8xFLZqWSImeuSkqw4ZVVZDZaboFtcFsGffvTiaZrXJJUCOC8hXbjGy+lzvhP5y2aJ8ga5PpKcQB5aYEouI7bHZDtuuLaHkwl4dcFAFAh3bZzUzMjIGp94xqanJeKO4InMXysgjZwvhHxOkiYgcWZi7VDy8FPBmPePMqci7wskLjzG4DYKZl2IMQkWrebzZClCNfeJhCZrNARGqZhSIonA4Yqit/QbuyScx0Ghlj9pqpfuUnD8hpXIqVUcMSSyjSzvqPGt3UR4J1o34OfMLqcSXXlRV6qI6WhLYGF5ROcYJp1xK423zjpiuoG/aYGW6FDvNCO/xO9gGwCtVee2kq1zdO7O5EjH382Jizm+c33VsisnpDVgfxzritDG2LR7LT4dLreQ3fK/gSFXOecK+4a5YXfLgCT65QLzcC62i1+EN20niIX5Jxt7PJMuoJuG80BGkSUouTSdoFQhdvgJ7YV21yjmYoCMOGhvvgn6iJj1cWBY3utte71pi4HH15azXpUEfVhxMhD0nO0kzjBKCoZZ5Vtu3Bsce3kWkxy7z7UV5/bG++9S9RhwtWV5aVY7DW1qDwB/m2hyuNoDLzzC0LjRyoVlqTVV33Va9hu+c19Z5QMyWXqoo3Oko7oOHlER1R2eI6wF4uHRAWlqDvhHODoiPvIxDxFu/hx/hM+Hf4754ed8SOrjP8QRD/yPfMQjfeTzwT//+NB/jj4ff6RDfXikQ85BxrjZoi7CKDIql4zdwVaZtFkaODPL1xCu4MH44qfXfzKKAEG31QRf5gDMzaTnDOYawzuRuNHAmN8ImIsH2U1qWpFXMusIMwcman7o8UzbiGW0MN1cUJgdGdfaGRhQRuYvGJNUQvFw2lsUlBJ6mqBxepAIf7SdLuydRUJ3bg19dRxnoxNR3KmRlyrABw/MyKDqPyCCLOHb0RKD//nf/+63VS3JKa9iq2LspU9o3Q8G9sJWyGGJDhNRWQZ3l5JeZEMfR6vkdOuwK8y4axUYl/noH5GXvCFgy8xkl6FPhi0DlLXkaq5SmlGuQ0a49JDXAb6MaTFKUZkgfOGzI8TtinCDgvtS5LBN0kkw3zHKfOOj6BeyT3ExyISaJb7XP7sO/pQewVSehB0XhFZGUP2XMtpino9xE+OOiZmhgq059ATD5VNOZ/tu0HLfBr7mQUpQoTnMGVTxWRkjH3Xj0InBeR0NB7ORowJlAFJVlvtHk78eJ7EQyVupV2qDFk45bGyDoNxVe7OYYEeOJX27PMNI9qzXDg2oM/7jOx7iZge10yDpko/0FF84SgPhjL8lojrlYzDpzLzLqheLgS+NZTUNvbCjcSOVe/rqv83w4VOmIDeZtWr6koLB681vT+CCpSlPrl2vQVsfjJONJyWkesBQjLpTPf22bKqNEzjzhkoaFTEZZnmdwSr5M4qZRiiQgz/tpDrMEvtLOpC4NWbwy/IHevKjFpBFNQdGXDASkvg41py7rVdBcjq0VnqAfk+TCHViUDMdAipPuiTqNDJ5wCNfjHA4c/FcbEhg7lj1ItavG/a4/jAu+YJVk6TrbK6OBfse+KBszkx1UVnkvEzEUqzjTHtevEZYlE1LyjXPLG5mGnql5N4Fczb58aQ51QtIfnP8shjePOv7+Os+FpUvaO6XcLsRwUrb/WgJ7R7L17dN3UgMfPa19svkeFXBVY1cu2CdOlk3iv2e6LB3i3KCQomtxhpFFJ/dcylsgSziWlY/1JfBNb6LwWL8gbxWXUAm2tsF+lFwTIlFnvEGzuoUUl91dVpvcPY6JWLmDruztmXu0B5z9ltmFNtUIXsffMu+nI1yD1t59Eke1vlrH1geba6wGnxmu0u2z967CBOgCx6MlT/W0mObcnkQBT8N0nksvH5D+K8Nh9XmuFmNe5sHrqb9SbwiSsEKeQzRh/wcSPrwaxwA8OUQvOYnv85LEbL9vKGUPTbcvleJqy6x8fdyyH99Ccz/Kaq/jRdJuCdtdCzyw84qu0RtTlW1QBHFYBu7+0dcKDamlX0P2sBx8zeiyxYs4d5iiunGyAqxwHamVORhSZPyJ1/cB7o07MKVqLUM89dNbLs64VU1viYwCEvrQ5KaumKWB8NzmwnJ9No2ohgLelyRR+fOTQOpGqy8kwQBw76RLxsCx98E9VnGafFNyeAIhIRviZllAxfL9FkvkQJnPaybFubCB4ol5kIycTNRMGJC1tiSskCucDZ6umaZ47lJP9lMtM3AEMIDiNeRODArCXJbNU8giX5KZui25V/Gxwolew1rnxWrOLG1MbJ78OQeu3vzANT6bFh0xVWVnewfxKMGSi9UeVON9v12vEv8z//6n97IjhL1jBfZzqrkM3s5mtV5MGgyIpi8/Q3Czr32Wlk2WOnkY56ZyWIUTqNd7V4cjX7b0Wz3slpeR9vRNlxh1p6b1i/uaXqixkTsGmqUGEh7qgGpB8ebr/KTbMTh+uvMy/bMNaDkS1ZTOjWZHUuMTr3dNWRcvT7Sgem2ZzKth2YiGOmjLAe9yq3rTp0TNGWCZ81KhOjvNu4UrwQOdPcIoi9Jakg3MCeJm7YmZeHcdP5i5e9DftHEAZ0dojU7ou8GTERShDbXYJAn8r7CuU8G1ZEtAeVrqyGZ/P3WDgcMFJ0AgCInzGLxYGtlRP03bxCMg3rsKroHY7Jj6w5ueF7C1xNjY639nBO6+JwaTCszyDlgiaf9yQW0R/GXLq5rdkzSLlZj6+vVNafB0EYkXl8tJ7hjihUNtDorgvhrcHgQRiG87aASCPzcCArNAluxLqVbRr0e9Wk0SypuaZG1D2e2UI9iZS71x/DudN0CmJwY7EUuErZfve98KXMhTM5V87WBQyTM1RI2eK/s10pT8hwWNNs8afDEh49vCqJltMY4YH0hYjCp8Ml1v+yjLZmMLTn2N81i3b9qFgBDaX4SIKPOq+0fjTYGl22EZIdwrSVh/2VAAbGlVuNzcAQaqsSCLoWd+gg3wfvxMaklqt9tbKu7UyJItlynLA50kLtqziwYLGHRXn5/gaMguys9JIBlQcaPlHIP0kKFbm5zxz+yRCDwMBXN1ibvhiattdp0xpvu+h+0dUTGqo27pUy7Zy8125IL2GBbdM756cgAbcPGa1j01vNtiOY247aWr4pZpababUr5FpgLE5r+97yUqkbzMA8S0J+MDE9uv38+jbl4jtQtqRceRggbUdFmOnjgdfCxcp4Ckf7os+qpaf0w1n4owE9qR7rzsmkxhY3LDX0Kp94ObM/Ovj0rVSAV3bzCfv9734wbXdrvtAdHvn1+6stLIM7yImmGdBpXhzzKXjAbbwMgDJ+4t3VncBkO9gAwFyr4y6gH1CG/2Y002QQ83ykFSIce0l90ivziqfGCeR06QqJUlnN9pYLq0pnOy+xxNOaap3zNk/+FL0iDZlhRi5N2xsgyTxqgzCscquc4mrc4B+YzjPDJBIl7a4NcW1tVGxU7C0cEp96eMLQQp9Lx7RJmAoXgMb7JTzEPt7IDAEhLARz7aAuxkC1LWBQzqhqCiZ9TdFW+UigHwOaNhYXCMmbdIJZ+S4B3PSBThAGwiJsYniie35u/0+vjZsHcbZkXMXg2fapa/FRUwPXhzK8cQO1Tl+J45FGoo+ZxYwst93NMqaiaun4yizs7aYGFdKWuILijgUmG3HkXTVYMa5yzvlxY/FTiWcsuOGWHDFgah64SYWinQiMxwGe4px/kf/3nv2fm2WG46qu4YSH+o2NoM8Li7xCbXuUDKjDcVLeN9tzKTjdHJ+4Weq06omcsL7VlVuY8gmPbsOOW33i8+DKVzeN5NY1Nq1LyAiggV2cs7WBeiTmURQrWeCOrmQwKnxb+mawh8cTAKSahn/WqiIKLz0Nmmc3cMl9QviNjvjc3nd+W8gm8xtLzJZWCXhTcFnnSFT8k4lXUmM213LT2gQ4BfD1HHiuE8Kz9mwfk24C4h5nTWD8RhQGVJfPBpsZb74ck6ndmnNT9zXDx+hq3e4s5HZYvjxbEYM6nhrxZq2hs7cBjrOtVUVRmw107renuGmDA13NJRB1zvsk+nvVMaumBnPDkMP7QgPQ7StODRtFzWUBUDs5bcClPpxzcYqYxUjg8gJKLkGdGL3TKNwTAhJMyx2+wL9LpRVutH+Bqgbg+nL0OlXFzSeD2/PGuCECmoCR3U+wP3gwu8GHdhILkcEJ19rUHckxpWIRPCUtqr2yKW4tiZyZDp4aeyHbxaAencdXjmgDor5GdPIuNsfny7abkrTRDYWnVArnSTwvtxlOpYl80tspuGyYQN8xB1z+XqrKzVLXRjnwzbSlIlaoWyKJa7PrOx9TPhj4sc5pZiaZpFxRbnb+qOWcZMD8mopLfApxl5DI2IGJuaZnNUE728c7N6tEf5A4o5wxsAY0mrT7baY3jlvYO4s4d92TWKECoTboysXiEz9IRlSwl4I+h7F7Nm73cP5NZeG862EHUjsnls2d1AATMTogfekr2vJKAw5E7SJ+C2jhqctgvXJ7SYAXIUc24AY98ke41AQrSjTJcuPVwTAQadW90xndT87zOYlej56EaPLhtoLVgynnc/kB/earBJ0jBhmAChG/nVBqAkGkYu4aG/bDNpoENbPeTq19w7t/SzS3w+vd659M5cl6231t/yWCPUf5Vw87Yy9YgQDe3L7NwE4l1qLR0GGeLBwHQHFH0of5wAr3nui2GqdgmcZy5Dg1n2+/6PSmTMeu9wucC93sv+f0/pS0MTFtNLasKRtaJope3T2m2wOmPdvbjbv8muxI0vtApybSlKLku5hA1vmWLloDIbNHmj5hcOBnoCQxeKyBYiAJ/hFK/scDrdik42xWkAX2A0YxPL3Dlak19NQPIMaQGc3yu72bGiP56VUAYc3JKEtLKeifms+dk/CooJ7a2Ibl1fV6cY2Qe0Vp0WgTcNrN+5XoP4ObVWJ41E7b6622hQJ/hTWPp3Z+eVpCvls7VeN1Mkuwi4iUSsFjD4pkswE1OLRmcGkf9p1pCmWk/Ln0TC5GtEv3+1LpWowmpwExR/Fdl0Yu2oXF5sPyH6mZa2VingXJGpwyjH3fTKsIA//O//2fAjHmj1HpFSGwTEm46TWa3be6zlECKiooEy5T4R6YF+mI0XERLxPldd7EJF4i3lkkyvrZcCNLJLfD91DynXlburBPfzqgcFQxcnkXCnQgl9uU1n1dZaqADZT0cfuurswX1aXCLCeJvekY+pZV9RvcUxW4F7tsYyFN524yvvzQcs7VmpCBHXaAjmMVNp4UWsm0PpDogkxfcBncd8Iska4MRpYGvRd1dbA+40yb/ymD/6/AkZUUii9cOD8LtQ+3MZQfh8zEbl2gm3NRAp/XfyLrCqeohZYBUTrIxIx7RsZvzbamJONpd6JNJSfxSk4s1MSFcc0G+mNgEwdFcxfMnompkfcncYqQcpIVuxwbjnlRimak2cv832y7U2rq1iGFRIl4Vm9fv55zca9USwntJmXww/SUpeVfq2wZ6M/pAKD+ZI0X7mnXmWBUUKkt5Pa12E/Kd8lzDBtUMDREM9R27NhWB3FyNQnFz0HjwQwY7JxSSW/xnYDtr4oK/6h6lEc7laB5LkEixu4RyXeO2oCdPxhvJ2P/5eSoplUzo1TEQV+3WdkBH8LBlbu5jzF2wLF2YrWUY2ittxcWch4dxm65SQGsh91DOeLvb0XQrmEfGGAAEX1IrljGhXDTHdqIRrXklYDCdrrddO4EZOoOLW72+7aPjm/XcZR3S2IZrVx+miCTJ8OIvJT5M8zis31lKIFkVTmJlDn+q3zQWCp4TzNf4LRPcOH4az/bSNjN1QKvCrEisNONw2PqrdM1rYqAz3Yu4oKcjAHw2RNiX27q0dO2EgMZSXHBflrF3OXKBWsD8slUbnXv+hqP2yv3SyP7A/dStXdx/vEeY28VYSD9Gyu38WSyh+HK2LenOVVYMBl5tE6Z8RXs+5eBaPec/2o7e3720xTZwjDYSUypRy/Nheb4s7Z07hZo5IlNT0luEHHaNaX/4wQH61AXoMkILv5OG3zvY8Borb5PS/CE+PIfXh7wpjsPun+lN2d1kuw4IibGLpzbNtxoheMd3+PW9c7LxYMC5IZaDHHjKG98y8OhbCemQwN1mZzHURqdEtPgTVsbR47P0zWRjpM0LHGVotcxhrH2gf9Efqq4Sp6e/ZS6wZ+558F3Howe5UmlnBQtPtS8xd4s05IvOxu3HXgM6Wa8IW83g7TXCm/CtcY+ang7SOrezVUF2puw3fXrTUepFtJzOa6tllnuFwgaGFvDNLZ0M0MOeVAfX8XLE6shgpslAJVPG0j+xdW2VflRw8GAW3KUbgD6yMNgXcxpCiAgJkhm8xXnec4TjwFc+U+vCmuLYzmIBKGHUx7jm4dxk8M6CscEUbkRWXc5Sb21kxoBaTZjzdoCHfH+XHDWomBaQ2E5vOKCstExQ5BI4aWCLkwEngXs2dFpMtOoarKdtWBfuaq2lah/hmTneJBVbei3J9knYb5VaTYSVyaHUhz3foJShNiKOPQ+yJQ1Zjp1iyIByc/6yVFI/S6tIIQtUuxJt2Ke/R9JPy7IzyxPHl0KOnJF8dHW1UU51XZUDq6IOijuyCcYvbtwuf0J6OgYfHflSPK07RZDXaXpCKRrQQ0Xq1DddNk82P5EwP2gTPsG7eUOfLjMdEueDHWOqVwPtD/D5o8/hB/4jH/oDEiPpnI+0SjKqk5EKJwpSu+5oWu0HIIImbm9LsJRmgEF9/m0gk1gZvNnAauSB2/Z8F63W3B6FvFsU5GAVOhlOLwXmROsUbtQMB5JKID9QAHB3B8LJJMfafWJqSXQABj1NFNhwe8F/MV75MFFywfyL7pvtAS+ADXQO6nD8og2cDK4TCYX2ViebUiLURI4HmcHgsnX55dO/VJptk9EqrBj9kHDzuPIGw2UM3JGUTD5N7BdiBf1ccdwRn00XjX4Gt5EBRkn+mvEqzMPkFgUIwoEmVzfQsMGtznBb2IXWeLkp4aGI09iqnssCbd3gJ0VPLjPqv78/h71cpV2GdhabZGQxiZ0bXtuCDrzpRS/b9liV5q/MEOeGYiBIVa6ibe+AqDz0S9RfvNNmW1Ikk8NUq8udmNmPn44V+ZcNc2uZNp7GwRApwRFhr+sfAcSvQo/PH2QKnSAmV5qKkq99o77dNLiy6GMJ0APqxF+e9JpJssehzydq5oiVH2LnaQMvvkilCwoESUy8KaUTWmGvErb48s6YLgeMtjODx1tMBbznRuyfbx1NVsy1XNhgthJqGW9Ag2q73Mm1zpAD083uqMkAXvMV9N7e/p9NLzkE7gZd9bu27bdlV+soGmzaKw5gCFaFTI4sKunNmXiq8M5mJ9wDpVW1gVc2zCWuiz5ybdTJW4DkcY9lwFq46EY/vr/XLi4e+zjjQWxgsq+6TLKcBJko3l8IYA0GoMzK99so4xilY6JbnyIwOfDuANBUlUFEm3jLz7sNCPdAov//icYhYSo4MRyTZ1Js1jfIl3emI50BN4WYEWgnJBi4SontvKwWfAEJ9iBWDgZo2ZrxHF+WJQTP/XOyZoMfTvROIj5penzwIQ7x4T3AH+LP8T9//M8f/I8P//3P+b/+8f/44M8f/kP9c3hOHPf95+PPx38++gfzb3/4bx/8OecPIUvAn+Mj/BEOGRmPPGecVHkYJ5+k2fY3lWZWCM4m3yqhhFH7195KV3fgMkHgjoWEk9lSKawIposGo7hAskCwSoreKhn/5h9qUxgPULL3dgTwq6qikam11CRqoEaPrOF4GdKGxUOTByGkk1gWFZe+4QYW7F3rLChcHUkKCA8kfCeJ3AhdciDYmnfF0yXsHQzajTUL2gx4t6RGjJGlKlV6ksLAwK2WKMWeI5yKdMsMNSVSQg1E0gCSBfGogCvlWtIDFBywHfQlvNx/BGINxLyWT/Oc4pTGcaNL6ONQPa6Z011JSXRJCfnD1THGvB4PzOd5RZ+fibRu/mEA1MbF9lzkIv18k42cyQwnaX8YP5xE0LZBypESA9+sOZhdzBHxcIsm29d3ECuuC+ruL4mqHaTBxo6d0HTSCELspl/gkCWQomiOuC8hC0uNcuse6iR0qnMsj0nyyAIkkQcH4gHTYuV2/xxSgJmbOb26PBRwBB520CHJTNTHRzyA3OEACsIFRkdpkQKwb1Ls5NDa6MT0xLJpvvU+HDad5PiGxYaSk24Z4tzPq1wkVyDKCE+JmmsGji4BOUJwLXf4BDYGmC9MfI25oP3Nqu5MwsVQquOnU9mdCl7e751iSAIqeoUpWDZxkp+EeqmwVLhyV3utXuLG9OWmbAmZz0EXUYUEyImZcCWh6liKbjIqkbRpg8lQADCx3AqERZvqPSVhV4N3Bp/kb1kVBUNMgbFjVhGtsGiobMOymYXIL4humohYoZDo9oM7nYeYsOWvo5g2wsKFLxlUr99QPsm8Nq23uYI2gVAim2dvQCg/LBm6tzpPO6cG3F+/tkU1Mh0UtWMJ296/3vwzAC7WhUXsWHtcTVvfpgoqeg8amumvwnuJvbSNU121clnRyTyo2pZBWINM46W0zFtQXrCDty+nf+EAWnYrBUoAOzQONr3F2WGjqglWb77hTBHmo0S9Yi7gnj1C0wROICmocshSoqlQlctQlroR8NXdeQ1Z8tC2Dsa+r6zsrZ/GwQ12BecgfJgTPkvatIQ6FakIB28SGqyxfh5rBn1hB8LF3xmvOm9GanCN2Wn2taaPkmBzzBqT9dq+hJMgUU+T1J2sGFoRwpCxTvJeucn4S1WToVRVsQcDQFN9wcnrA0cdjhcRTjW/KZ1lHuw/ibNKvxm3W5CKxH2uAubkT4e8wcR6iGGcwTziaXOz76QEgNHZX3KUudk9ycNYEapnnI/6N2JTmQuZJlFtmMb0xCEwcZEZ2XKWFHYvCGgwzp0NROq5yecryyhtJ9BI78KO8R3WalDMdX2x4YOjdU+lPuVRPOkd2Tc176n6lI0sLWBC3eKI6CDaNvXBCLhNn8Hn8MNNvzDEc/jnfP4cfD7858854j8H/0b/o/Nvf/z54HPmfxD/EB8ZvicXGNCBPvwIn8PPoaiPeIjPH6lAMOTlICvQojkEj2jhk+VFLWMn7I+mZKkyNBA6B1D4hOO6DOoF29ZZXmC3sRTGd2zfHtfXcu8RiuXIixRocGE5YqlwM/TT5FWn9Vr5DhFDxLAGCTxqrkx1gGIE7LrA/bihIDJhLe/gNNvPMGAq2H1hU6rzDVeGpx2XnLtJP8T0z8Inv6y23fnV2YMYQJqkkI5x3OsTerSZFj3k3IIbxecdEyi02qncwTqI+bVbMk1C1LIgIRcEbUEg//u//mcjY3uGDtI3LAk58/ngQAYzuDMf+ZAVAsHA+iJsDznxb6NjmCxqx5mA5RT4EiU8N1vCZyhyNDARQzCmFlerbY/r8IEssX4m1ZmrqFq/cSB4H1PZwcbQYPAABPiIc7e5sm1fu1mnlWHP7xLu2wPYDJbjewKOgF6juTcjExjVrsX0d67P4NtJWQDkbg6JVpPUyMChBh9pTjByDqyyaCZiSvx46QkoaG+6YpH81JRVnXq5sGZnm4wRj6OB0fUlznfgmRmkI7k2m7Pk3g5yljM0U3lwB/WZUZVM2gJVa5lU1mJHny36FjVt94VtX3ZU4DfTrcJHIEtX7/t3RrZwkh/fublMSV+g4C98jDnaAnKvWA6CQWEuztnBR/eJBqCcs0R6bFaS/U96bsVH6b3s8m68EjOr5ZOMRrPEJ72PxcmYF8tHh6joW40sBTR8ip87doQGgA4OcFnlsq+RYaThsN8o4i2FVe6Tc138PIkmO4ewLyYaxIRi2lXEGfXMtLf/0WvfdlCd6sdAWkYe92a39mHoatk7bFBUHTCcUyUQykzlz0GeWDls5DxRb7APa1mWX0ERSoF5Qq2x03U8nIsKgMqZpE8m+rraFNrTTnjqaXRqPCNtlrthIG/zvDETtpAzPHkMg1huwGvmzBWJbGOtntW//NoGjI1Zy2BETVL8wjn4XPizCp7xlMdKeiPsCpGrYmeJ+s7NjSsiX0A5t03IPMcC2sbSBpp78IFma4BNUd5ykTWnc1cLuFXxS9FL17WYDuiya26d4v88AXAzaRo+xXezBRCrBuwDn5ZtnkQNN/9HrYUlx/8+aM3kK0t8Py/RomqHKtAj6F6NpPIiVv21U//F6WgXCSdt6onTuxxKE22A8lctg5+Kx7DBfTF6prTaG2kJ0eHrkuAAPD5iuQK2mWHmKm/Ho5GFpOciewW5rIZxs4vQG1pYCyoyDb20NCZcb6UUfGLoHfLJYqXQTGsI1JZJYm6p0D5s3vE5PofEEPqHlxnhAInxkYYXkLPDORL5bVCA1M4T9NEnMjVpg/O9/NfFdVmsySQ2AhVyGOH944JD4Gd0h+TX95Ov5c5Ofc5nYDr64iA2gyOxu5YS7YgDr/Uxw7jqUDzxIsyatzZNK8a3THIs4tvVp1FeDn3GwLn8l62TfHndsRRvyUndDHymwfvlnFkGLJq5PreTqaJnRaTFYx66exlz61RyvKxL/lgSQbV2j7joM8QX5uhbsS1SaOqm/Ux2G0zheMDw92cTz6fv27eTeSFWG8825ZwRZfsSHxpv4xcaATumcQgomrbPDjjWqzgzTx0BDCVtQHcu6i7wAoaRE+oJKbgef5sZuTw1QFhnsh8cKSu2vbiPIzLF3FgalZc7vkch5TAHkdj1ANBx+po03sJ7uOm3BgwQVM589grzlDuRS543sOSLxXKIZDdlJE0k/up01rOyiY2TuUsoOktDmVWCB8A1wYYxbu2Ash/pGjZ5ELslOcSy90mFSAuXEB6D0aKlKPNFvfhSV4NrORZqvMk6oAjCz4h4JyaQvZyr3TPSPMlf5Ssxp5kEfB+jOScxXdE/zBsYGtg3KZZV0koVaKmHuFGx92PUP9i/Q0Gi/jCiJLWZK+p6uZiwG+nJ1b+J8X897XxnilGjAxHEgf0BoUl9R/EYoKQMawOYIx/p8znbUo04vUKH1ytSj3/Kq3p+Xu4GWGK+vvYdxRb+ju987epQvqnrH+Wcv5KNZqShwaT3NqVcDMwwznDw3AHsmSuT199LwNZcZBmzYeGEa70DjzJLaRMJ+3TOW2wx3yQZe5alwaTusVLi51CNc1irk/pRbSQyLJkoUBOaQTQm2HBaeuQ4E5Q5aewv4EwsexvP83nMTw8ldEpJYLsp5QN7p9suiV1Ynmn7luPfwCajwmGkGwUGBHd8QSGao9XyshMBZLDRRZEtL9sY6L9tjFCBA2KSFcIyOzQLq4yVIWZHcxXDVRONK3+aDMVjef9iQupwG4Lu30zoncD6cn1j4P56mcluPiowrWlXeKMtD0XOTM0pYfiI/IRxbRkA+kREAISwCDalB3gbZEVjogfhvdtafexX1xcFsNXtKXxsrkHuhXz74XEqnpaaRjPvBNK+EWEiQtqN0z8mmbmnzQKJ8gDawHHgW55sp36qDUquSMFy/kpkxVh78JDw09gasvCO05ZINi73M9d73Bd/Ua0mU6b4YDoa6ImPB1r+1Y/QMX9YGcO0iO4j0LATaJF45i3pwfqC0YTVfIRwWpPVGdEhnKoOSvVWBZdYxRsFcLrf3o4Di47CvSR5ODrKkgl9ZrNlVTtMSRCl8Xm8wN6z02rNPmiyK0WQGqolTyUYnZjPheWjHlJ1IC8Z+rwSgUClNzl2Zz9ZUU1qvOkJQisZtAqPogjjN46j0QH9JlyMxF8htXSqnmm3EhmjSqbGYaY0CuJDWaVDUI3CNMB2qUXb3svY9hfmGZcNAU8jikD5+JzQG9PmzdwIgcl8m0smV8N3pG5XiVhJh3PjQn84PKA+EHzIw3PoaGkpfFLsWpLP8fnDz0eH+hyL/MBH/nOsw8/Bobc/AFD8dW5zW6Pt7GT5J89rBudVncGPgaWZFFb+KHLMe4JUDOeUL8TEKMfljWJNGEDwUkufZ3+PuQPcioCxWRNpmWJC7TlLotqAn48Boj5OOSoaRIFOIn84gekIXc5aKkQRjDRYpipNYonWnZ/yHbnZPFUF5Ru387w4uOpc3kFIzofSsAjf21JkSuwMrYSI2oKWpFeR4jlRMghMIj2CT563oOxwDbpohMr//M6siixaN3sXHM34GuPMB1cYpwd4091V4F/BSKEzRVEYn2bmVKXoDBSGpA47tZ94qPQ/+oafkhUls2bX90ZGpnCRoEWTM5BNYVgFNncaiblQ/dsOWEmNjycHXg4PgxktYYEHcia29mE/pKN0tY00TFOaDSIRrOhweyCD7z3h54NQZk20CgmwESfeANLiexZutH2ellFCZwBH3iEXTjVNkBbnthtR5rA/pAW7zh7vjNPkCJOncb2F2izVbOJy1AZehMg1LvAiUFPwmcdxZQH6+GZOs/g9n5F/sXshxAQRokUf3I9GxKFGHyAwNmkklTgBa3FmIC9nF3vdgrVoguYWrfsLX/qbjDNOoQQ7XQcbM2FJB+dSX+CCc5MzeG0M7/UFvhepsKvnSTiHPJFohfFT2CxGbnrSei6rIO5ql83EaX6Nx67o+mTO0EUqKrhJxomFDFYvPwhoeD9x4fh7NQyjT75TkS+PSfAMJ/DGtWrTDmfRXfjz6Vcoj+HnRJXvIFBxXEj3C+WRIxtxzmGue2BblPMkPVGOUoOBpf22nTjnX6htfBeLl/dx6f1CbeX7bHt3G5gh73eekFkgsy0iVj6Y/q9TXsLM6IN/IAGwOZ7bR9ckhcqvFPfDvKkEyAJM7Z2mt5Zd8FvQN72/idCG45Yz7Hwxnd5k/lLZnKB02G+CyBd3OTmWttDqg8xOdW1S2CxY7mHpCRvVqPTH9tDShM/BJxyFjDyFWyYrUemxdT15hE6ClFtxl85Ixy5rZNBp0UmaTcXiYkcI8NGwkC8M3PKC8MSjL7iaRnI/p/A368rbWwT3wOx/ZpfZpG/pKfHeBs9833W5aRuJmlQl6eUXLA/G57HfYWNy0tqgbScMvm2WNN3nluKApypv4fYp9bxhc1lO5lYdyP1wPqubtULk3XC8wR3BTMVpmj0L9vJiROxDMlwyQMSOM9NGQ8soJAMHEZDvbuxKifEK2cKEzKs9EjwK5/Lipn9UrOS5FOH0eyT1kowOfkECQ6hx8bvJ6boFAFm8XrYWbvI3kK5FMu/g9TnbEXCJyFzf9Mb4KawM59aWvNMOHpZocDsOCplt4h5lw8jJ0WokwTAyNANUxp0D/D8e2l2hBGAmTRXZCxA8IXieP8sH6ISMPuKRT/y/ww4dnIN/Pv5H/jf5kH/Ej+ZwJJwDyYeuXmyzUN5JuYiBofG/cgZrBVEEFbjPrQLzNDUkfek7MWaYIX0RT68ClhbwIcPq1oK0XHl+U6/NXxtbWwbO7KDE6s+NiWzfcBe+FWk1z9pnbX2CsXYNVd/xZMWxYOAiTt0b79o6DMsB5PhFtEyzg+BDGzfFQYo4RBKPLXwDUlP9JslZdbtMtB/iE9gMpZBghAleHQQGzJ7koJVoH8rc+TCETePhJDhVzo3J44uQMukjCX1aQ7BA1x6ho/2YiTXudA00DEzXKoI+QehQ1KFRwEmmcXmTuODMT//FYvC//+vfZw0Ja9xAOoeNYDQ908GK6Jyy3o7W1LNW6Mhdi/GAwo1+HQxqqOs3xjL5T+IbBDOGFXk7HOlGSVPEFdFpSHHZk+zkwZC84wOMsK4IsQkxszGLN2ijA3U9C0rHeXF9qc2CIljmxciLsLC0ZG14bZ2Tt5e0kV4bkUn6QsP0ZYQ1Z3eGl4ewqX/9a6ZemO7UZUe2k6oMgaLyK1LG+DlOAfXMhYGjMGoRDxEj68XUgtawcoUXOcBFP846q7HWDjoCrDy0seEbu5jEAm+LCjMWP4CVz5KGYczKE7yZzTyIZIg6nstj8fjCtI6K0oN7cwDNxZT5hLNfI6huEqUnngrg9V29J+Fxpgh6f6fcUWb4tPWou74uASgClWjd2hEcsoa+zWd5FyYM5dDFY7W66Oku9vU5nmKvUi6LttbTbXngsXiurjKXQ0aUbxzUnauMYrN6GJtTV+je2Tm1d6R/ygcnLy/bkVRugxNz1uT003/bPwPQWvgyMU2OyOFkKSNH+c7Ykf8tHYNvZjUAzg8oVY5Uo6gsK1RTUPibroysdxefqNNGvWL8gSTjF3GwDKiY2x5ugUXRzahNd+wlCDDzIdPkLUVZ6R8wOBkMyVaoIPzyHmtKvb2GpJ7yOt5Cat6b3wy6Y2CcqSQn+DKD/NGXaH9YD1A/OUq3J7ZFy9QTVF57uRw0xFbEkUe64gwaDVYPj67xFXo08yTDitcY0fEdjGVpdDHrNZe7bnYRZszuVhba11VkmqLqwVdi6lqJvR9wrSmGz5CdrijNCTpsAZuSJpNDziG/v5kg5KPkZdIvXvYo5Kemvc0NhjA2GaJAtGRgyS9snM4fxlnrweFKoQTGMye0YP9aQWLESQH7amlZcJTP1vjAZddRFgLhVO3lDida2tTkpw2a8J4l3Iglg2DFWCUpONkI+bB4wXLXjCASWicfb5XjJTDKYsBVS3ALkQCZ4WbwwJ21TU0iYQXDAVb5xjFGrAluHu5HlvTBOfjXOZ8sPu/WzYoBKUYM0iqFG1lzLXv3qz5Iw8E2ef1/Bhcz5rQxlMYKd3uKDcYnawxiEogIC+ce4EKBL2eL8JHnS53cqnNM85MXS4x8omjvYcnKrZrtJvpFewdPl+BBPSeBAiVDc/2zj9oi4kdOnsGNg1ZZjDEONccafwcfRIKQFhYZ06kfBzGmdcMk28TprJ+ALyEn6sdwDYNBlmX2DvbWLIewFybEQZICwizs1tS/tgKF3F1Z4pKw2rgD3f6R3uiIHne1dGa6VNdi0IPT5lkyrWPbadaDTH1AuCh3W7DBVvOTtXOhPtosLNpBeQpybuwaEhDDYdywCqgaKml0nI3MZX4Nm1lTU9XnTZ4aRRa4dXG919OwMEcPof8C33r/EM66uqQkbqYhkSmueLGF8J2JlwiIeIjwv/77P+yO3KN0dhtDobpyFbCDY+PNq68p3TvT+PX2ErU83QzNTZV1Ws5JTNHvooiAGP5F73EpqcLUyYkCGX2uNquj2gPmD8YECwiY27BKV5WCiH1rGU2p6DDJcrhcxcD6YrSTDAnII5/pdSFP0nGbzjlT+w5KLXpoXzO+vOmL6MD3a6MuZdcMAasHXKhMO4XIPf0Ho9NFHI1UzPjk6vmKpkIcBZEJrLc/CO2aDWMDfGsS53u6Ro4XkucSushNvTOy1+EduNc68bbSU8C6QeAhzQqiSybIuAL8OfyOT0nCPQ0BFKvx3X8Fe3gAn7lOl//enwDdVLYlJeXbM4gbGG51tJ3zQSzukWqdMDsTXoP0vMZYgTbiBkyTa6eOxTR5tMl6WuucksTnSZjDXufAGqQ5wDmL3vLDJS9Pl9+RyeRtRW4EYpGMwd120d1ISRYRPmBPqpytj9j4SaC+3nBM+RfeFI7lHmPGPOsL5+KBaOu6UOqh6fb0+nIfSbyYPBHBym6JZLbKJcNp2U2oKuJipxuKjL2YbQmLTQTL0u5nyTFCneUSUcJZRAYB05PZ+9I8LZqd/7so8MXZPrB8kULhmITvOp+Yt66QgUXn6Th09OWhz41vicGFQ8hUwAaMxIq2KQYjiT/flIL1qUNmYsVoO5Dua522uyd8azJUSy20w7Xi90WG+W5YG1f/hXP5dwR3dqKtSyWWdeg9DJkeSvi5dlVlvlVl+v9czUtBcH0w4Uj19o7x3bGu2xB+PPFDzq0yErphtb/0zqfbuOJOxne7ovoimsEWfuS2Veif68IDx1DW+3mIWa/jTRisJCBv5Kd+fM5ABeUG/jpjaZoHWeDHdIYMK5d9kgUnCm3sMWo9uFQas042zuuRVy2VfsGDLMgL3N9A576CV9KM419DFsvl3v+CjXsz1F4oAlb7lLnZuFx+QD47I0W3eC7iDRicGR7ukog+F0o4EOV/y9gnU/jlX84WpVqje2AiXp5+Sh345tUEbF1ZIi7G+Nr/+oLkfGfUkjA0jdgFHoDvCu65EUvVzx2VxmKYOApna9wPWd05QZ9zrveu4RQJZRh5k2bNQJICEMvuxOQInigobXugnVYUrN6chbKSTR759XEcdgjz8gK8aaZJtxRwKOqu/iPmhiKrUkY44zkh4FhD49w69ZL0yP01XbQzhWSHHm/KMWzgRcN8418GB/bW08/MtgjTW0iioStnejF4AhBvmZw+nvwIkevq3btNluZ+l0fLS6MhMBQyHkSNIpXTBL88NVMj56On8M5ApDZ+MmNhO+9JPokwmuYAe3y5wzVIe6tzOjlB3TSckgi4YEXtlzzzHMASnZBgWyRcFsDL67TbEDZ0Gz0NTkDL8ZAp9g5GIzoJGbQGY4wM98s0Fbl5mQbk+6oQ10NhL8DOlHFZhQSN/NPr5pT+v9P3kahZyYIItM3UCMo8xTYu8s8y8gEzK6Bc/ixt7LQSbQM+4eLSs/CQVKxIZpxUBzDr6wifdrFp4GzeqbLExk1Hp6SvF1LOnr3cF0o2T95EbGY843D/0IQG3dG2GAbGFZukoZOrF4a3RWkb+3ZxFIppwWPZurAVieD9RQpiqOp/kTl6p05g5cs3RjuSdSKhIkAfOd2saLiLbQoK2QGRBqLUQgQ5FJwxhTH17Zj1og1GoW07I2S58rzbKps5Y1ue4brMw8BE3ehOT97tQCY4C+Obh59gl2UnSXuB2CBz+IJ4HK/mmtksVttUF9PEHvTm2UQvOVIqZd62uA9byAN4c6HtUGws3IfAoEHv+IyfB1rTjxdxFS2oYpiQsVsr0R0TvKiYI0/cWxyC4FH9O14NpO2ydG79YKvOfvOKYsYte7AiY6ahtOMZyA5b9DvtZ/dfwCVpmWTUYyXUgeVbtopg/3ui21a7jWosowKmrChMT1/1NAYpth4FSilEuA2BcpdR8xM+XVPhwLGiftYBZdPEnoqZb8tunz07pfwnUAK1DfiBMaf8N93f/gB5v3S0Rz+T8ZzOxo9gAeT5BwjmEXcU7r145wEUwiJz8MFzodUafNtu5v31AvquwFKM3LgOHpWV6NXkNgOgQnuHwE8+inLGS6C3sp+/QmKgEucngQ9B1znDfNHgcU6TV65ODkLODGIMJWTooGqVZFCtmS72jcZQTQzb0YyZR5S3yh2P876T21jUIgbVRIWeDXoPFvDWJF53Yb7KdKsfID6MLvsalY+xbkOB3cPwtQDt24mMW6aucMP70BjSUjB5fzh8qrmPII2kHNMZW2EBX0niXpGmV1YFR19UwoU+2ffo2clgCx2p8ns2LD+Uy1FIdgF0o0a/WQQSW79k1pW71xTI+JaDARlJddO0xPysNMcdGMp9zQ1BguVM1EkC5wvD16gHh1fui3jksEeqBYslsgsVWTMVEvDBN7L6w5Gsjz+Hfw7+x8G//fP58wf/9o/++cN/jv75I9GH5+icJn8d86N26dQWa/qKKaziqBjTPMWRtiL0WOxl/i5DSaWMvUiBNjx35kK8DXEpODGdZgAdr/v82nYMsYOcsaf1yxSKaZbTFdr6dB1KcnYZdoUZfcaUjHRE2jUwDIpz6xPMsNqe3PMLxhovqVbb7HKRClcqkoPB4+VJhfW6cWHh9qEHra870kyAHs+N0MgZyplixdYE4CUf+h8MfLyHOv2VcCyZ2s33d3XQNAaM23/mSWPqm0CUlMIlrOc9/Vjae7WgiRqRGl3hFE1gAAEAAElEQVTZnuvxbgszrnGjpTZ8B1DkYLOVS6aCV1aUnzXeTqlT7GWQPcGiEojNOHkYZGJaH9QUdmSg6oYHCNJm1Mp07lspeL13P8WETA5iwETiXtIqY8SvnRAjMRx2VnHqgbD7J8Ja5BdncCjfQB23ag2WwF0nc6fvOYonMUuUzeMugilZX35OCDia2RuMoKzqOQLDEhGY1dxZTOkSnB2pwxgeNa328apzuQr6kRomBIDnkuCRBnOBU3OTX4JB6mms0aLBycnXx0nvGHEsc0ZTXj10tdhFRMjWIGiHOjNtHPBzQcxhvZej8GeNQU/HyiejSaTOYVfOc/mdvNqiUnRtTjcEZExlPnGwZ9NCxuQ4wL1VFXImuyvimFnpHKhZgIhFUBHJJkugA1uWI177fMJemOrQbgasOpdLUjGYHpfe4eji4n0ZZpQtelpm/IZYbsDJoaCJUzbQ/eljDg4zCMWPASjOwz330C7vSyg9bUKQP609OLCiiajslWgr6V0AApXLs+UjwQzwkNwppBRbP16PZpwFBWwEq2GQBfsaN4QOtuLOFsmRGygCFhyIQbAKbJd0d6ua4huIXOnx3EKBwPAUhDcjF8Pm4GB+VLTQSMzUcgT0dsLYgHAC/lbxGHTCcqklFCy2d8k9qgTie/1X4ZHAGSYn2Djj+WXMQ3elDhV2TVNSUowG2lLfqQxuYM//U5UyWyW9sfrFTkRmLdXAeZtcuBUP6PMSMjjJH1EgLpkyLfa34kqLgQc7XekBzlpXOLm7erGZoI0uS2jYnGhb0BCaUOu15lnUnpUltm84zEODCpPhg13RsTVQX2pvuMfSFKblueWuMLWEekBTXvhJb0HvxHdNQ99WCU+n9EX7DIjWz63OSoiHpMAFfFI/tZznyysoDboFqZsxc1IiYtq+jAPzhpHbR/aARM8QpcmXgfsDRCvH8KCEIhOddbgrWJ+tO9h6NR0PlcWrVjrEfI13ZqFVieFwx1KHr8xOHiQVBAENz7QSqhRoKcpMHrm/FVySawBOr9RGDKT3Ui4tqR6phpt7U+veKAkOVlLgK+Bbe2/6vjN5pgmZW44bEwIu+C1I1ZkiI3wDT4XvCObNj/ScFunpgUQL5nhM525QI+oja+4/Iod//uhI5+Af+nP05/CP9G+Hf/5QH8bdn+M/wp+Dc0ydD0E69AMn1Kphh9rD4Bg4IOUzJVHq/gj7T/4S1gATw8kdhAOICotNAxfotcg1YrHf1AyujApWLNIKGDZ4QoY4q/jCRwys2LwnvZusPYhhveElI0tqMu1VimZacce7GdaaGOWVh0TbuBgJajicA3D3O5biUHqfi3jCRERbjzpqbEdj4UfOMoyhU4+bMDweRtMJGphRXF5nnIEGqAxdZp+EOlgTFbYHy69FR6CzdpAnBYt3J+/WxZtxWQokMW1a8+A2D5oOW9tOkc3rnaAYQNZMeVL0SS9g8yzIRnw/4i2OkHbHcY8OQRpAyjZclTYF2wTbNFUB7VDi2QoozzVTauXU3/GzFb/pJEGWPTJPwk9G4/LIunmDG9+5Qi9g21xegGeFx9qGOLguWW5OBYBw51yEHvOLBmyWJBjsapoKZvJtl34LKrnu2iIsSVSWlwQw4tIdvIlB8gG26JzhE2qplcWj7Jry2+KpDMQZWeG9hjkfQ74Y4lCaisjVxLHApr3J5CZla1cqr+CHS5hz8EyLOifTkjowrYOd1Rga4xTlnHAREKhWjuB7ZOdAHwlzEEAMcs45XJjDxZYLdFtziWFvshqjz9VaUiB9h+0ZpG2WUqdEq0vobbvBgmhO0PqYwHf9l1b9u4PTfc3hrVJ6q5e1SB7t5xnDKx8XErVqnvLeJtyzNvn0DTcZOnxrAOoOZWVV0LTp5I5+IAuDU1yWn8P22D23USPhrExRplEM8KYhM0Yb4cjorN//flgstnFvapuF5q/oCFgfd3gqOcorf0QdIPLM855S9ebiLXZOzcP0CLbSSJ6aliuTZ1e1UmJIzX2IebboLLFaAiMDzDolBtAUAGToHK8PTLAZZPsP1RSEYi2TB2LgrR4T2oeN9lbgVYFb+JlJb2qPHLhEfny1JG4zKjjcPZnbduDB7ilC5AKs6NBpobZX0PACgjGoAHxLp+0iQbVDkPAcmmp7FUOfmBUG/yzvFrxKvgeVlNAHmf9ppl56tryiTssFcsVoZsaBAwbzt7IWxg+BLyKbAGoYc7stZdGHlkMBSgjFcUdV73DJbqwqJ7VcFxGioS9+7FAwQIPsdKn5WxQ0sVFpwB2wCqGsHS9ekGUi80is0d5G75dwfBJlE4Vk99iszVbImlEd9xgxY6PiXpV2OB4HECSA5MaT6pXMVrdu8El1s/SWy1RWdtc5yzyqKhrZimyPdva85GF9B2B2aUWTHxnIztbC6vge0GCMhVMMcC+ZlLjVAi6VA4LLvMmypbLlnS8em1yN94v6XUezrS5EKPdxDODsNsRzrCt1dwYa93LOKH3I2+k7O32Ze2MDUc/diSE+nf41mR7xgDdtw817FCyR8gHP5yPinw8O8DmI9f4f+iP+88HnWMCJgc/Hnw8mY9HR4aDyomAztWxuLo6NOa88We8R3XUGSof4Mi/rhxiylCOMBLZ1lwphAXIqyIyOYgTR8v3xloDisWDEOoOAJ1i07EyqXP0OV51UKjlIn6ikDvYwhFWOYWL8EJ/gjwgNlHZGeoPtx3rBU8oWmhkJ8LatU/LjLpQITZnx3xNOIfiMPR5t2iKTMh7MXN/gvk5LtbSt5944m4TBi7m8GTPfqeCi745caDvEjR6DoXkH2GnfaGwuPG1aYm7eyEXmyVOVmrZGLdSup5p7rrQ/kQm4GTR27CQ6kjnDL7IlQ/faODnlM3Nb9DkTtQNgzuoZDsA7mCTd//rv/5XzqZI6BlXbysMOa9uRu60ALB8z6XB28P9NizFnLDkmQD2Vhvdy3YyXplDo0TAcb91UW+2TkADOTLck7M9uWJ6yW3UsbZ8AGTrc/k+mDlBPxnBOrk64IjywmBc49rdTaOxYOdt72Qy/yysyWJkdZYtLMrIYPyICVYnYxafsePqke4fLyaCs/c0wLav0SHI+RNU/gpaxq3ZF3TNKdSGtfg5vmekhzWqRFXmfM4+d7oA266dzv/RqL1iItQYwLuzoGWCfzXUcfE2vdulrfwYj+FpClqisKIgtc1Hbvv7sktskboPKW84RMkNKPfCE+/gEMhK0b5S+U5h8ezFTiAPjOMAdHW/Hp4BtSYKmMuyETLdmF4mmZdKk7hX/DmpGsNRnz0A0GpdR+0ey4WZOL+/ZEaWoFnx55MvAP+/AHpb/eDs4zipYcj0YWX04+WVVLHErnkTrWPIRwOPcktExzt6aTJKhKp5UEUFS2oEM7P+o0bKH+p233OYlHJOWCnwDIo0ARWP5i8qRy+bPozTcz4XAnD5sLgGaKarq8kvAw0Y2h6e2D5mSd6RWBq143ErPnSv9iw7AshGRRdH2QTbP7wMgybkX7V7tuDuBaUc4X5+gTsxm49lEEb61/8kPn21x2EydtZOu2IzZuxDsXcuX6QtsIGIEGZc+HXBKlEJVgv5B94UhxZ59eQD6/jKhCwVDV2WON7xzQjVh+xmNefj5PThFfScvMoPGahjQ2USYqyPtcWohgcC6lDaYsbCf5y2dXPSbkG0fIU8xY/otepKaisFNpOdjgCf68deFZ9cNBZk92WvdUZGYV4Y/pGTAZgOGU9qX6uTc0eHaAeVO9rLvmSyOtlacxasMk24kaaFqPPfyTBdEaL0BKY5m7BkedD4PWarpZ7+KzMzmQ2uzlvNI2/hYBNbOYz54NM+91HnwBKDjdukzEpNEaHT3zJsyycd165wcyDIhLeT30JfGI+05Ee3PUBZ16I+yMklpSDsyejd078ePYjMHLZjk+IK8QwKHd0iu1nrG7SzdL8Gv+cEQvtnJEGuHKNk7y1y7RRGE7hmSgnwEkidVcEUo2jaFMSLav/OlkJ8JQh5aWXi/J/4xFyDOF7eoIJZoBV5/ezzlGM2GLY5xfKfToJg6AtXsZol2q7Vm6iwg7R7Turj1XjlB7Dks1Qv0qjd93JmKztDMglQW7vB/89M2iYBOyGzY2NaA2ZsqzZ1zTnqqd89JU51vQHGgHlIH1MehcX0e8mGpaSIDANjH2An3IMBcPpldFsWyYs1roe56GwEI91ZI5HQMdsymoTk08esHAy9yOJWbJc71RwRnriZF7hGBmYk4KtmT4yxnBI+/F4Bk4+zgeOrtvVTmXeugnv8+KO8QUbLn2Uu6wTZsyH/9f/8XkF0dKHFbnFv0AcTUZPPsoluVxL3oZ+4r6DgcGw2mngRqEsJfjIiL9J0SLyOHbe8iA9k2hOtlOwDUGULAMM5/B6r3Q1RTYL0g9ps29o5BZXXYdMhjgONM8rX8d6kyzpvASbmdXZwWsp02OCpbHrVQZxDzV+Im4jvDEo8OdMvOUiSaY2Guv/dOFrEW5bd7wEdaFgayoA+pp9mX7PIw5cbqn4TEaJ0z30TGQuIWaW9GLlip/gpqwdJAGy5q7vBo6pWSh1fCAItvFTusNwy33hzhKWqjPtndHc4bQ1k+TEu6iF1l2HP4Mj68d5I4u16K5beMdHURkzuUp3+eMby4JDCSJgIHfCtWipCmI39bQ+Zb5T55O4vcyfwcTz58DjSYoRAnlI98brXghnu/0O0rZbK5oDSCImC3uDz8EoefEw+KvF+uf0cQV4a3tQl6WlFvOzA0TYbstkccLbk3Q4T2TIXf0qhwADAHV+kG0Slf36rBfKH0EKc7tEIe36pkEGxmO67LFtVjw9h6nLIybHxBDIQBn6KEYi5v+vHzdF8MUrUM92EnKC+CLRy0EIkPcSEFiudCDp5/y4S3morwXVE7X78txFcrShAxiWQGBjNc3+J2R07SwHKw5nA0Soe3hYrBVXe1wCi9sdmsqTe1RnuOPTzoDQyt+WafQqFEjFuTljzfLWNREoG/C/rSbUDB8lu/422is/wtaV929BZq8cHa99Uf/TPzQZsJYcXn5mz063UFWquf1pBYAskZwHSQxbpFvfpjK4c0llAtcNRSLamK870NUO/jS3zHshr5zkPyul5Gvaz5XHpJv6kFYbSKyBbzIJ9z7Mzw3sVbL3aAYjIbArSN9F0zepaH1NeOa0oT/csSWnYAZNWTeWqoR957dvs0wbjJ9CinBFzkE3Z3+rs2rsFpZX9hxL2qyfQAtxi8muMM85eZAmw3728GNvHBuekGvvHpAT+Ya76KMV9C5B1JoM/pzZAovFY9Ua+RnI4YfKIc8B6eX6HAwZyK2zi49OA6Ae9bQ2Cz/mEAjUue2CDkIsFHFjQn/hGjxUsnopiz9msXYThNn3lu2SS3xF035iUYC9RT295Ql00+LZa5d7iFZE8SKyzJi8+S85RwI4SZzqv04rWgJ3XSgloAluZsClKkCgPMthdYa7nfYbKt0xVs9n76+h8EDYYMBU1rapNQTkNcj9qtnDfC7b2EJ5a2F4RneShZC2sr+wyTDJO6GGX1VWtsl9I/jWwvxecbpFZPHu1fYEvA8BhrW/gdUOfFYgDgd1t/52OYndFf1hsUFNqfNSI7qQ1o4xx0TIKZbrympfOYHTMoM45aS5f1epnrWaEgqJspqKFRoG0ivouuvjP6Gdy2LvKdGzP+67//J0pwBv5uVd2Xg3a4U0lezPFi+HRwesLKnygz4eHpDeRBuBeVVQOyEVTh7sMyt0Wdi3UXUS3l3iPwxA2tgItFCpZ41ULnpRS6ahZPjPD8NT493akMjeyHi/tUrGUBpzOTb/9WK/jHirZkRNsBLW5KIXjd7uIIeVhKuQjJuY8f8l+2r++c8dfmcI6I7wUPBHLO8r6ShJRfWwL0jee+DgY6rNvb2w03bXoxbnnZr9wTUIlJiaenlUjy6FUsM4Wl0lbIUgQ+28EblCQL9DfgCXNrdZgp33w+os0IhhC7lGWpoxAb34VNDwYf45v3vh7q0RP2MtgV97kOp1gijvFSCFrZSEziEueWXek/6ivOl3QqS7mewQmCas0QxLZMK/D6QmzuWZAaJWrouHDP7x7gNW0MpMxZf99fvRuG7HCQjjcF4TRTQDDGPuc1DBfXEV6MxFeTMfcxaXGFkcucGPrg3o7TLcILeBZ8ZU7pRjPgLbp3o2g/qdg1ROTmj3yuaP/jHE0C3UdM+xoSZx5pyfrYIuVOh3t7XcNbe49BY2IqGTK4P3qDFg/zmgwPO2zXib42ebbIrzCs5GWIPbg0/AIgZ8WsWOcaeBijjNKfCW4CY8ra5mSui4vt2nxbtsyG5Mwdgj8zk3wZlLFPxe7BYS9oCRW7hj/YQZYfP1WwfIhxfeLzGxfBDkf4oGAEDxc4PPiivr+KsNz4sPtbCKWMa4J9KQQyvuiX/p3rGLX8HkzK1U5m3JgX9/OHFX3doZISzz6J28gp4C1dWelN7TAoJLK6GR+h+wu/F/RtUPsxC/2dyLMD2hcJyr2lYtsq62qAU11NN6AnKEzXUeRLzhv4LThEcq3Xfe6htnbBfvSI4ySDfJ70ldxaK3EknZJWKfuTUfOtMjp5TO7pbm/f2xhKQOQ6fKJMkxsOyMiIiUcRJniwMy/6ST4gcGYgHHT58o34o34peX09UDaOeXktyDF3BzjiUeDsnvf2pApi3NsxQdevx9B55NabRpvrcwNaxvLwnn/xfkIcsGQDMIgVpkAciqYuxkTd/xhCtW0KFubuzWpnImdKdREw1h037GhAVS7QTf8thV9rV7+go8UYwzCM+TKeYAvaTr5vzOYLMWq5kEt62rEHtiDfg/a6iRVCNp/X8URV05InHOrLbi3GDUBUba8c+UB66Q3Xpaw3mCwpuKlv6xR45/dy51wWxEsUbK5GW0zoCSpOaDx1hJSIAVrLq1T1CLc6HvuoFXbA1FIBWBqs8SVnbldoROCWOqRCNtbbNpdOefSpUXKDkrxuFoJF5RVhCK5xvEZ18e+aFhAbqcK5T6rCzhUjGIk41sL+tJj5q/w9zKXfNeh5bc/kqmLh//7//a+kuJ2f/pV5wPuLy4P3M4HgDDMUqayfxDtPameyzS0D8owCpvPS4tEZAOgBggaTga1MXftuqzHBAzZ4GLuzrRPbprwEr1d6X4zATWbJa2iP9FXM42139hjQB0/6jM4OMtWxVjeRiMXJWoJ1otROxvRbJTR2L88Gz43Z+Ujp8n5tgv+6MzfR+4JKu/akRgannizkiLqpMwJg2kMV9hyH6dzGInRx4yysiy6gh+26QNkUrrPBOdvQkqVyOp8Q3JUJTdwqtYVobvF2vD1ft8oKOdG8ml+lJFeOVneqh5by9H2NnpI6+WQJz3wHpwlzXf+roDc8k/54u79Ty+bm800QW/sunHL6am5Wbcxw8X3e16iK5i6gvvbBz/sAKevJ47tj7j/OqxG21j/uE/By++0CAcq6liXSgEucnLVMYLm7e+/PECzpu3KEixJEyxoVj9U2Ycvk1qOL6ZqPSodsTR0iMLpJSeNsutrGHvZHLOsO5GcMePLVpwT+g2aBGzGkk9SQe7chzJ7ixFu4Wo9kiH4R7EBc3Q1Ci/UDZA8FjsqGJps9xDqeX1+XHY8GNP6C8vQd5poGJCy0maKphMDZuoj990md3Qu9oTGUc1F2fmJCqr1n7g4rlaB9m6G0tVYriHjdbgZUpxEKDZTEUXzpvp6lxF8RSrQrCfg3VqCR03cxRBnfJMgxpdnOoXuimhX2vL4DHqO+Mmup4wPia2Db0oWkIfBqKxOWuU2qvC3Ocl46VS1nl8bSpvla6apPFMhx9iqx7Yx+4GdQ9Otn54h0koKKkWZn7FosT/bJ90i7Gr73B/ofzq3YS714xAaP6xJRlY29yGF5sps3EIzPxwhslGjoIXkLrIPGJyCDHbAGzXvayaZ3O8aYK11BFQhsIzJv3i9h8rVuZsGnYdx2PGNSPcIJDz3xUuDWNFCY/bs9fBqT3vvWNdjOins4LfJyRXaqNmLTYVzJaTjysPpWhnVJhtE91VRsK+OEG0d1upihtBxQ7y8UDZng+wWE9b7woaIBGtKW5xri4Rm7TfZ+kwE+HRwkMls7HM3Rn3QHiS/EEyBV+XHHv7c0LaLaxFIxR8IHt68aBF5Piugm2sRLVoCIL55jwHHfKsJI5jDEQvchnBIkZT9w3Op1NnvjdUcKUHNbLaYnkgywqTJBiCAw0ztPJ/pqMMQBO6oWCl1YTwrmhZelvChRYCItzRy5xzo33OarT/3QUuVPoyHzUWYv4WK2OHiVAJPRgFng0QeSSi8vpPw1eafKlf2zfTR/FR35utfPwSsU8IaEVwP+YgbgXW/Ru8J9qwVgX3Tl8b5NQCbm4jBxaRXicfkYGwdCOvlbvVBY3r6EPcDrOci8IZhHGVj4KmlMhjKS/9IhSXOk9XJWDf260PmPhr6/AiMyi4lKOwR3fSheQy7eH6EMmygzcmScZ6E7AKUKPjzUMDbxIPNOYlmTaNGSvTgXgFhoRP6yaN6TDqC/CJUk21RtLXtYC82bEu6VDZ685in91jZMjORcdKuTWBe4T1I+LRppX/La9kT7j4yf/I07Jh/EqDXVzrWwZXETT2KAWmCkr6FCjNl5iCnc6Lk8ifL1ffXJ/octa3+9xWaVDBzAMLfrEcofq0hdxzXjkln3nDYABoKcJiuRKOa0EyVKJI5F6vDUgajfJJhP+mQZI4Ejfk6i+IXOyUgyiZwPQEQLJAlodanN224UznuOPCUpVNhBYswlAiQ4KsADoNRDw5rDofU8h+Vn8/paHaXHsjEop4OoU4fz3oscnUq/Op/4oKhxGKjlHI6bFRrkU0WVk2iD2k4UaT25BOuGrlK0/VyHW+SWJBFQbiKjxCyyEXh9mYpEMyXppf71Ug1ItVTEDsE4+Z5lscxVSGUWqa2A7FfrIUcPmrfCTiUZ3A1bk15OLRl9331MzSEzqrX8oPGwI1u9WJ6scuk+4178qGDC32Ag+NZDZUi0zkmtw/6V2NdChMgjFDccA6ayNUakRQoQcdeJyXshA33T4+RmmEFINgPAhW2PEnx4bc8lJtvRTJydWgM82Uzom1ZgRjWzXXWvsgtPjcV/0xTZCsqpOeYN5AbsnT7iHLwQs7RZd5LlL3MFaHFnvtmD1GNo9H+lbgaiaSQjP6pQr78olV/yQto9nWJpeJ34cjwL18RtpUa+JMuUuLg2LAeScbmmOQnjBs1R5L0AwRNK0L92Qwlu74cCt/GxxfMipmR5Rhs6AeLAX2TAwgzL9Rndg4KNHkmyaMuBDbgwcETiOn4A3H4rq4XZclfbKs1zNsF3pQlgvVkJF5MGCceBheZC8JJCZ0SWsAe8o/kriIwohnlYIcaUV1MaJuc0lUOgovoN+/IaP2PlzSZGCLVxQJp/rDA6GwdzIfPI5yR/fUFMdr7gjokM0ofmAo1jEtBHKTKZleMpt0jZh/588JHieSw+IEmBHyYoE3GtQmDqKVMAgJ/jDMDgjsY2LjCkPVNEkddM7/9qxR4E7O1kzM6Lvhv0F9zSeDxdumheN92ik9SdOiz2iPo/MDXlY6vxGyzV6qHx1gBu+4GGd97JYFp00/ZQPgxhHO3/SYT3oR4bA9vZdP7yxXQ02EPOgfo2gHgXdicUrjuCBu7IZfiYnj7coq9w5JXgJLFkQqPd0gC2URsjiUSTGVognza/SUx//mZYHDA9wBgzuIA7KO0gC9s3y3+xYQUk4wxua8IXN0PD2S43KITcuO9f6YLPhHsxfk4lg9EZE7iZ8HUdd5Cn6Y4AJWlOqpIBvrbHM/d6UiKWsuAiZtP26AH6rTdUcNQAX2yYWB84Wb9xtoGMl+KbW3N2muaKa/tU8vzlF9ixZVdaGXZuZpD4O/qEAM7Nsc+LidVkF2KhIiPq5YPWhTQBQdradjwXKTgUdF50yCUal/9sWmHSYeTgSmrTpMe/v2Mpq0asjXllgMJtZXAiPsXQibtkvneir7mN77EbMRFEkWtPUxB5lm4ThDHnLuJMAIqixgCkc1p8tszJuz0kSA5OZoKB1b2gYFNhaE2YgrKkLgmChOBjf5TtYvlDZf+9s2rsRipIZpQVBFQ7AAr/mOeAa/yj7EtHRpxN4SNQ0klqOZQ+J8WDjoJxkG1lcX7VocRzqBMfsvic+gSO9N7k1QjoKotEuwGnamysyL0Pq/5RecK575NgdRkSNv21VqapSwILSrxvpZdPZIT482zvQBHv5AWEAJ+wUtumSDG9bjJ7OPtnyWm20qriHkjDoiqVarPfiC5PlVJhyVPXzV6AwnRPATcdrmIq40KQGe2EMDKBfnBhV4vdDJ+bI54J4kgLP/nBPeMGYh+ce7kdfrWMn2lDD+2vEkuwNPsQIVjY6h+dcHOmW2YDku9NqC5fxNwZOn+PDemBkmuLG0NCWPc2ixb9NaXkkzaoc41OJsMuCa0sBN55MuTs54edLfDlasAp1AOr0z7GCjnhx1YZUEYQ8iXKsM0sKlvRZf2DVchBljlLCbKTKI51VUxvkuprqpwUgEyJ12AAZmvpxmtiW7mFZ+zDLb7P9FKeTHFsMlroUoM+vWSmWQygnd9JpC6NGeE7YE16FIbS/3m3t1VPagxmE3II8bwCIcTTFM1MXGyRCDch0k5INu6DyHEqi9V+RTLij2jJh/tV82wDOW+sEy0Dpa1X5JXHFlTWtkMUwPlHoYYrbo/zPsEoQfDpBFcvv+lj9G3FSootGRe/RJDiGAAypXePVvgF1uhtrjA6CW6WuA7g08ZWtRYwOBXr7aejSYzUUpQIVM0mTdTMatmCIFGB69OEeUfsG02xG92CkETqujhRheeNO6R9UF8xD/9g4GvA/yJpUgqNmh55ynnJEOcAJ20QOgWhZImfWEQbp8c7bwP9jFtf29hJFEb4yriHrYdvuToPgGt/Yd8J8P5efzHegjhnASagC2baIx4ptm0hDFF473wNbOXgyEj2hwDGX4t+TrR4EUYxKIQiHVdybYjbB/6j/jzIMoyazCiukSmopweNS8/AzEBQOzYvcDgjvrgtnQmynlM2ybT5Z29H3ZngO3ONWrnDsAfy3PQcJ+1gz6wBxwCxNrS++bVfnDe5ZHAkw/fO5Ge6wi1XelA8N5ihBriemR3eMA3BxJHTf/are0eBcuFDMsHQADIzZWFD6N+wcTP2CduKmzHQyUOwlV224avyA4hugzCcaTrzIWpXDNBO0PlRkaFWBqZ88Z1WXEa7hvto1iECTxeuw8BRZ8NyZQN7yfpUDO+EmeFBZdOlIvOKifjBM3A5OQmBP52SK3GF/HHSxFFtspCq7XGRnbYDSMXW+Vilh6YldgOx5J0XyieWZRwcdEDD9oXUcrzVU8oIp2PvFp+5Hk8N4NFD7243pNU+gfSrC+qieUmvpXqp4J3p0wZ5F+vZ49NKJxW7CsBMj+TTqniwhEfqiuUeWgMlqpREqD7qhj6IrU5mlWf98BpIevqx+XWWNIGhzpca7smaz6EY9u1POHLUY4jJSF155HJ9B5K4jWOaE/xE3FqgkTxktgyIH/goARrHQ/qjoCaeFJeHB5ISzlsolFAJxrkp5zwDcnDCAzRnTU5svn1T06SewWxOVySrBdgpydBLaGy8XHiQhh/yzpPXJS31g+UWg6W3Ui13k9ZB0v7wFi62PfHM8ziLtqfKoKKw6qFdviRthtHNv22Gj1ghsQb7zd8Yn/s7YcJHLLOGVX61StHyhkknnI4nd+Y9Mo3EBbdWYlsnyKgtzZu5S7Vyz+tyWtUycZ6b2Fa4SILhErYuMJ/+BJfu5l4swNlFHT67VmvlPJiShGXKW/uTODX9PzzhUBIHy3n0kvdHudU2Wx44OM3X0A1AiEmfazi7GToZpY8t9RaBw5UJ5ufkBfn2AMBGBIM5N7H7qtowAzthiWFCipF1GNjCgmCZFKhJPUKJ54LMbRyk704evwDxSKKY0sJEd4OvL8QWA+1V0r+/piYX949HavAKw5RgJRiw+XqrLvpbcBDOcOh4cmPxKV8tH9HDYBIoEF+4LKmUQOKAytKfLd1jSoDwVpVwdeMt0zFi0cKdIeBZacr0r2ishobpR85/vr/a6ZYSM07zOFiyvA29omczgYcg0vTGekAi/MyWHZwQjQ0LkcMkF6+EnCjVinlzSey3uLDNNdsOqLKdpIzJVF3bbi4tyFYrfoKC99+IqmaIoBbCcze3eou/0FmpRodZ8q72a8J8GMpWi+mhcnfRJzrFGSyoHstT59AJHEsWIB6NT17H2HfSZ8YHwEg8H5yTflZMWnzirrK8kQFijowvmHBBp/F8IwVAA0EKobRs2oQaxFocROfrciNaKlGhIcfeiOrO7roLL28eYfvl03KRJHFXnb8xrYzU+lQVOiVoGOhC62VvQv/0H5TjRfu1e1mZPYG91KWnMCmtAju86Wc9T6deHr45adPtnU/vFDq2/Feoh/HMF6kA7vR3JQ9F/t6lQMbsxEZJL34HEXKZQm/wNzCnmPR0iRgX5MOo0jYFultME+hijsCHqWDm5QdtvuF8r4umEmoB8H63XO18alkltud0bQyOJzIJZo3pzHyHHTyrjVWPwjJV+SIeOD3kWdgedDHLdH7TWXKbGzMDzwxvSPDSXhOfIefomktCoI2Rx2yAF4P4v64SLivYxuDJMwW3RSjELGtbOO1vZBrhUR05qm7fCz/jqKDIUCdjj84ukow8j0oTpEE8nweoFmd1Lm1EE0glwD2nwOXExNWEOSLTlyeYsevVac+iC+zqh/PGesv4cFEIbv7LiiBReUYZ/raA5lYZk80TpG/qhu1ZbnnaMMIqCKwTzYHeJqQk8HIlacikcM29ACw/nr7cCIztGhCIuAPGB0Eqkzswt5Lf8FA1e2ByYR8zejzQXcPo9knWrQLA0fAzFucTnLVZO/TlLIc4GGrYrjOpVnswT35r+kvaJy+qewS2UOLI6dDiaGVeIjg6AdOG+VGk+6UQmZm4oG2CVvkNFL0zAo+Wei3nAvgzo7GUecrO/YlJ6z38LYHbCBbvRuuWuEC2PLgtfmB4aJoXA8x1BMGjnnfiM3sRk1zC9hJLgJIMIbKdDGxBV8jmzRHBchvWFxBmwGwTR6Juidscyd17GESUGjwtb7im7HTaYwGPmOcbuUy540GcsAlzhw1na68Mn7X+yBtJywdbh5eIQdbsNdolJrasYkmlAtS0g3OnfS7SXzDioUxcrLLOzUoJEF4oixYZjoLK7XgFrQVPojxqXsyAGtYLcKpqZM1R1F/B1/HZxihX3Yg9j9GTECTPjr2wTzhIuo2mlD2974Sn2GNiq8SUihsbk/lKyCawRmyUZkvuRjs9E863WvXEqh7jPtRI/zgZDtmqC96jU7IPiOVLEo29IzbpS9tRhZSVgTvf2MPaNnUiJE1WPYv2NybUKPYvAEa2vro7Trfyy4fSTHzR2vwNmerQa8OJ3UiizwLj8NFGAlHxVThqDfKXPTeMh3q1CMx2c6tBFlZik6ordJeDNNptbp6cTJEHeO1xaIpoTu7f1IN76OR5YoLN9706UZOlTUkhgJDo+cQNrDtqfCjbnOvQXqoOl0qwg0W8J4NdCXHjBwF2Q2T5fc8OOX4Q6iWH1MAX0sQ1qRgvWUcFmdjKNBYr7DXa7pyULoOCSKPr34yh0ElHRzzHOoLwIT/CRzzQhzw18kyfoNZD1MxWn9FflwYrSVJVWWx0mib6dKZlr50Rx9IY84LyGHPteLbn2H5zUHUDBE3CIVnHsH4GHHQIHU2qn1DGAFCTtSzes3bt0cIGnHN6aGOV0hgW3JnTAKawLA2+Maf5Ih8s4xWlIBbOw2l/RkLVYKkmF59VZaasTtuSMz6mnfCDcfhpfYEZzPUdbMkf6cIYC9dDB0QWABr8TqtWHdhpsYQQz9Efi5NylyFAmsvYHFV+tuzhkhgXnryDe22YuHE9n0K9bGScNi+6qCIHP+TLVKHJjtSgISsHBgBVKwRG5+MwEy3G4AnGQ4v9CkvyOy8n/wf2QN6dxhjiZjRD2Rlpm7qTay6D//Vf/7MflXR8wTYNpqR4riFq5ksp0oIj4SKnqyVuJsNRT9QwHk3oWC+FlF3KHGsqr+gzAR1k++/WJG4GiFlyewDlmm4GFZJUTtsvqBT8xjq8lj2h7Tlzq+vOOzqh7RX+KLeqJcN+6MCnmwaAarvWyiuDU43K4Q6bVIVKI0+aKqzZ4X7+TvWNMV/f4svUjAArvD7ECYRRqmRmS2br847kcoxTiSA7RsKtisJCA/DzEZZnJPoLPw7P3oclLu1XVmeSYp3iJvjDrH5zUQ+XSs3+UFZt0ZzUVQTpV0qHMYsoFtH2RVqWwAAvlKbT5O0lE7shBMEQVVVzxjLgL4fXwNwMBCPJ+IYepJnHlr9Rr+bE+DlgPa2C+FQ4Gfqt6XrB8z4dg1a3CAe60Mnm+splf8O+FcZQXfdh+GDtO/O1+XwU0UIQeGIk1iWmCYDzgSYAusQ9cR376iUNVzHUOblU4bl6xSezuhDbtTV4Zz+Q72CigC0ZyNL0gLsyM/t4di04r30CNICJFVfJED162rH4cQk7cHiFbIpU6CDwtDPpJbfcwT8s9pravDi+cnQd/Wa2RwnmRhVEJZzO76um0ZIMw9YcQAYgWyThHQMyQFiKJVSJzndkct0OcOsQsERESW0BdTAweiK876oU+BpuAJHyqCqcEDqrDYGPcd1wmy8Wsy+rkshEqfftyRop5OlDGmekKqwT1NqFEPfop2TccnAJp9giNgCwO+B6j/ucgXEme9yg32BplCvBc5ArvpD3febsH/ubJxfhibgIA2d8TX6cPmbHGsGdTYjsQvHbxUxFn8jkpuSMMWZgud90Gb4t91IjAAPJrsntno1LVF331zBuPmo5LL20E14oRXoUNCFTMuf8A7jsUcCY6kDXIuxUSMdlK7f8Ywdwk6LQTojXuurYX/RhvyiyeT1pewMp8fr3eGZBth/3s28fL8Sp2YJpnuZe519jMGc6+6JWozk0nkcDiaU9DB3UTSbzy4cYXsWNhiT8oW7cH3TqKxgDflTRLbJrbWqVkFh36c+vs4i9GAEqNHC0vAjoMWNBVc7CtBxzkeeRkuZNuUcafKhgMVHrrdx2M9mWJwwbGwt8BzEen8bavImm4ehrOmjPKheWmCFw3b0tJUqIe/EsxLo0Ke9wxLONsD2fpHeEQCLGa6ybSJrAgbK6eWNFbn5mwojcpRzO1sGnZYb9FdeTiT0Ik00MicK5sxvVYunOASDzVjrqNftoqAswRJIJ1POHvRegOoHRo5w7J2RbSIYYN9xuiv1dnqJxdZQ6kq2XeoxIUqapLX99Lo/aG78AM19MJGRwU2aKXZnrIbMeR0H8xhzgxmyyhHje2SBOKF6vozhTxmO2PNpLKSftoVoLpqcEonPQHo9wgBnG3xZJZa/JGPVBT2COg9KP3MII9aDBz7ajgkqw1X9YmpPAR+QMNJvAXO1JKI6znev5i9uISmNJ3oyc5hpsuel0VOexo3gRnPvbmNqFTnwqYFxjGYeOiQVRu1gCEPV3CcvKyQJuK5sHnDGTEgSkcMr1Zi3VtFXB/fQolU+GQWgazYXOGFe7lyCgCAi55AvSXbnprnonRUHe5ixkl/geZ5fBqh0rhsAwhuxJdcHDzoBGGASnw93H6HTJU7DIrPwj6GplHG1u35J4jR8xR8pd4mOLObm78sGDgaex8KQcFPFb1TaAcIeeVMpKqBynZEvX8cNoIE3wSABDe/R5j7mdkANImX7hGPpiGqoSFNoc/y36ftmycUpcmNCIEHB+lg9lhpL7Q8D1JF70asQJOQimcCrYu8lpBVa5C4O4y7C/kixH7dAdFnTHYHJMGV1XyJTF4mijLhFsQzqBOLAmktBkTUxyg6qjK4V5sPzNw4At0AKWHXONcNz+nZRQwoo10JApaBsCYvAJsJsaJjYPbtuJVWKnPiygDIPeXxwbW7utIe+8leMZsLPB0z2mIXrTYyLMmG2asWQVIE8RW94ucJ59V6R/UOZPKH4KArqUt3IjeifJcU2SE+VF0l94X5TYdTtIOXjtioeRUeGw7TRp0ze9BWOVgdC4qRSDpwGkS1Iqv8+LS4SjkKKYPJKb5LR8XTX1pnc22R2/8NMbXGa/t6vYAkM+3bbpnFja/ByAUcyVCJii884GnWA+9FlEPpRaNmLivgGku1xKNG8OKydq5ZZiIk9yOv4B7nKwvoAMmqZHjf705Udhx4M3/zC/dEWKZjfHXKYYOduJsc7WfilGeVB0mJG1VG/cL+LNIOsIGdjoyaRgtrWGUUjwzfs7w6i4Vp/APGr3S+w74ssd+LbP1Ao2LNhOB+d596krPYPMEPZA5CfRkbIko7XNi04glekwzeBv9NDQxDkZqwXK8CSYiUK2etlhrsKTbaXAOSxvSBFWmqKF8CxcOgc8QyG0ZofeaEVfmjh8ePihYkCBlZNYyuSYhHPAzuokTfMe0twBUZnjEYX7dJJpuje5YfmbdF1b8YZgaA1QduadNOecZo46e8iTtKPHDBdUphAWAzvb2k6l8COTCsUzj7TM4s5+Me3JY4JQ26X5ZihzR+XQ9y7lnx2B9TyaaAnxK8VK9EVPW96kZ9Q4SIzjfJnM6gqMthNS2ASHp87pnJnrq1qJKMurZ79nfvj1S5akj+DhJKgVWap9Y8IHQ+KoPCx2Lr2hVU09HZ8rBTFqFB1kBjJFmIrfApRSv+Yh5xadpqH44OUF2GSy7JQq9HovOWvCU0UqBrsaVjr3l3oe69hcaj/PPp0u+Oq2PoBzjCZXOVF3OL8WsS8i9l2BloCoDlIIuw1oB6RSTrTFyFUF5sinDhHRldEwur6mN386MxxskCHMlWSASQBmxmCL9Ret9eqELHBWq7P1ESXpNAjwWV7ujeZEx7l1tMB6JWvIr6k5YmZCAjmRBV7cRNKm9F0l3DCtuzSairpY4L7FRZ7fFMyvu1E2BLnETQQbSJcboDlAlLydATVppCdVHIfYtubrEBk8VciqdY5JBCIQX+t8omDhVuJYSrq0V3tcBrqQK3UkvFr/DoIDygXETUNLCdwnQHmHTIm2IBdHcNvHAiNUQ5AmDmPowiwHuC32jO91EJtRMmnq/N5iiVLbz1uykxRvDna0yjKP2p7+k7KllcvEAIDXpw7waDtB9IE8q6TxKxqnjc8OaQAOa5eSqWXvwoUSEt7nQNyUB1weAGJkDFscXvck1MAr0ds5zTACUIKO4kUyTeBMR2JfLfIeu0hm1hsrlSq6dSSoXkDsAPbNsd94WY0leAIKp9d3EiTctBAGYVou5n1P1RuN1m1YVxHEtMYiqsqxm7Ery/UbJzTQK9HPVC0sFUhgZvqIvrbPgsZIdHsD2QCdf5cY3WHHAVrlc3wxbC4Lms3cW/zWjFKIhLGjH1FD5o1TqHKMdsny0B3td0NBwWLt0yIrabaYqBjyV18YacEKvPFktpOqdbMrBZBcH3QdYmXw2DiSyBqTtq8jXvqrosl/zJB264h8ejmQK/fM6KhrKobE43zwKZOasizVwwRZ0TkHLpeTUnUKSleS5l2HxRRsC01D1Xh9FPwumdNNUxThsxu+148oBAQfudJc25DopWvWnbQVQm44kp33JXY5Vuem2BIzSCRAJ/SF8zUw/FY8mxcRtBZBVmuLnQtDjyU3MLtKpIcq+twK8GffG0HO1YQvfJcQnXHcMtwbqxpAVip+p0PmgNaHBOxHSIJ6H9bINMAQUCfX8N75EHakW3nINlRioaMN8BjnmqoU3MbNBrqhia9PTFg4i8YI4pucDIj8fDMBIBrSaGT4QwbuJbOcoz8HEg7wb9KHPMAn4h5Z6yeAjGuFPDsonSm/kQNRGX+lfeTTEAxAstQmGYkIhDH8pAgKagkM1HaMYfqiB7BGHqH3PAGI0PR9g5ibQic6EMOMwU/X8DazsrQ69iiUAO+NSmY3LzABFLGiR0bEuUdCywFUpgVD32XIvoXm4MVE7Od6Mwkz7XPYwsntiPAmpb/OtuQ8ebqYGc+zBzY9c2DGjWnufK/vZMdnXCI7PTlj8IxLKzZdBUfFaQf6IMA95cTU8bFJmgI07qtdOOrwUEvxmSXxdc0gFC9EoWTErVfbl0xw0Zp+K9+8ktvRmDWmu4HveVW11sAVrn3EkypxPOEHBOgBstTqQ0DT+HdDBTUEUcjJCCKKrY9tWYOLlv7E38LRsuMBD4ShGV5g5kkhXX8WdGsgK3nzybdk23Fl/7ZSYpuMBH2QEir9tsjUiN0KQT/sn+rWXQUXkN/eSmurGCCNiRO5okrRiUJ9mSbGD4Fk9VHzUfFT21txhrl8TFAMogzOHEVB5lPoDM4TUhdQk/vJX25Xa+42AnY5wOKVTiUkttZhyEhESy5WonXBOZvIg0HoJLcji0ErTJbl9mTNZ67sNqMTJbb5FmhY9VKS9q415VFqnZIOMA93WqAJNHgzmVCHwW+bsdieYkMPqdPfySgKCpHUlk8ee159SLKhIfh0XmI7k/uU162kotny2GjLB0ZaGzk0gQ7DY/nsSC4ShdWRXsVTqOLgXo+JpinlozK02/j+5F4r6ze6OCToX+FFo6xfm7zGHUIScFoC5A/0fnEPhHNcqnk7LKs4hZr9n30XoRSwsK9GrE0c5NbXuUVFBM8bpF+ZyER3S8+gqAy+Uvaq4mbk+G3HqCJV9XXFCuZfJsD5SV63Vqc7GXEqGgdaps3s4wFhjorLE+7UJ430NwpOQnXFqj8ctmv7mPoyJUC39Kjg1/MDEi9iAaORp/gLbayFyhRPgjWqUeXauB4mdWzGf5mIPWXBs+EXhnDON38vL2j4yXCbm0J7sji+dMVGGWSaMzCzR/H1AvIAC5jq9Zmk4NRXeZrEbVIeIP7o2DJxq79OCOc6uRSa+lzZP77XvAAjjz/gjXsX2P5Lnwj78Xa6OC4oaCmdbmd/LU+ns4pdI+cJwOjn8i43LBrODajUy+Wdtar0cHR5TDPGbPAGWuEhLApWvt+xI+VZXK/smss/9Ev2euWxnfC1PFzzn3wYwC3nkhi7oiQp6/EMLHLoIQqblBejDfT9LgXjWrV/HyMt1U9nUHasOHQ53JbuS2HntwQ/cMvApLYG4xYlab05+MRL+dWswy2sByk/Sr938wb9KaBtYyOEe0xZZzzANeFWvx9weHgPeSDKWxFp+CGOSIkCD2T8+cw5+CN9PvhH1Mcf6vPBn4N/TuT788/xkWieOGMIh+MMMbQdTXaX0CVCDVPUiRJVAMfHxtUh4Cxr7q6B46lEoPruA3gutKxDL/3GERonlyHahrRQuxiCZb7L6jIMal5BPtQEBWy4ECOLGDgkoXNHBlNt9o92SPewt4TwXRaR7ni0M2waQBHC+eSkOnJcNp635DDgp2ZKIfn/p+rv1iVLettgEGBktX+esb+jGcue+7/IcWcAcwAwsiRbeqXuqr0z14ogQRAEg2xvW44JbwMY38AibrolnFb+9jUyC3Hh741Kjt6Tpaq9o9xN9v4y4yJ5EHmQLAU7dlT9B0CmNdrVnxl/MMPD4/SOtyEFkjw6mDnE4A/nEIfA8HxWDZ2brAsMh2mEJYWeISfmKykQcEDeapFB4KTc+ESYMO9VBL4h67Buaneyi9LSPsT0j77/OZ0RGCyTFzMTuAfRJHbVpI0OeecGR/aTHnY43+4uRXN8YqXb2cvz7czA//6P/1EK1jt+lIHWMMwQOL7WIBr8bE9id9qyR1L03LgxgYy0uLCkgRPSDgQ1DIZAzH098pd+szKNbPM8igq9fib4Xuqs0QkE7ut6AGRyY/RvEZfaMDU6mkqIcgEizvcO2fIkO5qsCUbiNeoq5+1XbI4PSA2vnqfnXwWaVbW0Vf8HikPcwAJZM7a/VzuAW4RE4HxIYmayXTynaL9fuhnYOTpc48MS1m53uMgEXIPjFAm41S/ue8+XKF1o4mDVCuk/AgAE/eQKgCkKdxdLsVxAUIBAQ5CzTGo4B1ZWEoTdBA5YcTlCjNhHx6cauKhizQiYueRmoY9tHuAbUF3QAVv4v7rWfC++/eM9Yp1K2MehHmUgy2B7pBpk8z49Gs21D62buZvURtFkLwTEYhFmMHblMBTUCnkJJa5IMq84oCnKmcVOaCW0Mqzy9IaQfa05VQgl8puQKp2/dGj6PuUy6ipD+MZMbfnQHIgpIm0HriknH9gnQsOhewDwskXuyG10x4pxnVBcCxaP8aaHmsBcKqkT98yyHQ+pylrZCGLgASjULKj/2C9uNX9lg2zC5zqKu4Dz70FKLRnLtiz2p26HfMsxtsOxjSiZjPFouOAJk5XzKOOELwzcbxBDO4RL5ysBuimfq9Vn5dHFWG/kBHtYosfVMKK+LnBNtl4En186JG6HLICq6zeGpR4Cq55956eBgExBBkjimT7clKHa95I4pdta1KcMern8DLuyFnlq5ZeWjDlvRji/2qVStpJJ3amtYVP7GBsz31dhW0XZUeXGp/RovBZDJVp6Inro5xH+aAUArwgLrzAX3GFZd/yLy2CFgHHr4c7pVPOfdZTY077fjFN1TXaiT/F7INPWUNsRa+FgdCaifIjfpQ9pE8vBM/XXzQXcb9r3USvwW7KIrWD66ab9xcf5M23QEoDhyAhotgL97eWuEjrPBb+8IHIkn8lb0O1s7q4zpI8yR0Dypgo8MI8I/MlCzRKLOheB8GOnZPQ+VBhhxIxfRD3DW6kCgHj9hPTYcm+0aZ9pioTzSr68AlEjTSNq8PxZCY4HNbIZkdNELmf5Q+aK5PgNF8O9vNqIJYjRYVsIykJV5yh3eGEOP9gJ1ek9tjakYbL3fSBxqIsI5tGBp+lxztFD+Na1vplpe5P4Kwo5Z6bM0i+l/LTVT202jDiesLr9tP1W703aWNGT/EWDJ+w51UqoF65VRMJZ4jS7EBOHpbnPoSPkzm9itT/JEJ1jC5V0ocFIOgNpI+BuAwv/NgHQCiewUokwhHTnt3p/TAMf+PZ05+tVPuJG+zG/SU8npIF1s/MyBzUL4J0NEoW9M0Pd6yE0GgVY+gI2TpamnaiESx/so83S8a2+XuQPJOWpJLZIIIkFxMkkZLGOlm41//f//n+ypZjbWLr0WX90pCpNSg9llqyVfkZAizxRJmZu18tH7vPDNWKlt6QLS0Vc8w8zpERtzCqWsYxQBkg5jF9SELOlwiScSZvptw4IMYxLVqv3A2kaZFYDQ1/t9aToE74kMxyJgC4ftCO+S6okCKpnECS77KYPxSVoU2cNm63K3OWXZxRHVVBcw/LNLjEPeYY+6UeajqX4NTE+t/ORMBQX5jMDSWkilk8+rU2WhdoDu9kuS/j4Zk3yiJIFja0pXuxiWn1TcjAI7l/i48oc6ZtJXD+aRBB5MvMxc2DgI3515oO/MnkCV7jBEGLsIKOH59cd2FwjeU543rtPs6DO8pf6/jvXvDcbqK78Gd94jlRG/yIjHeK+hTX7r8ozVyhZai62FjMxZ5v9SFhUMY8HLButma5vykSQHU3mju7tI3jcCoBkfRDifDq53N8SkLZJnFD47qrmY35WeEBjn2hmWvLLn/Quh6BS8I7h+aYvEdEkWhAV4jSD9gDRwEK8RqiFFJBz9ELH4ajXPugho/Tse+8diUomfmudsc9tadTm/qlixU77NVMsYlB3urXB1+IGReFAclBy2BRk1W/ACyFeqtsTgocu5kE04TkBaPclj405tdkh99lv2Z07954eveTFQS168o6UvmuCR6AE2hMBMjdakWVL9R6Q/hG/t7Mdxn6YExeYNWPvj9t2C3IxMq2QYc0xbgbApudmRw5rDZkiWtmEls/zRuwc3fTCsg4Ydso/mBc2MdqaJ+GjRLZLJG75mmSSoLJTgNlOxY3UeSM1Om6VcL1yQDYCuqqG/UCH+gpLKfSh7XRbcW25s7beCLL7eR25YNLpeyEHvh7YOhmLyTBCPEn2WO2jcVJqDvE4EsIl3C9qG9F54D09aPeQfdUtrLnXHP3CpenQ58FzoY9RiSph3zSyrveAYpXp6IHjps1+++VGIOBTcFMeAKEXIzcKtLsR+U2BQ6oR7mvtsoUsHv9zfIgzpk/NKSaUanwWfTyqVOb0+Dai5qUBkIQzY1++eDTcSjxDgNHSWYGEKvGB7Wrrakn0RxkGbFeRbHEmWWHIYV2ycRoPjECBB7xCA4dki+C+3TNcOkMQIRQU+blLyzTlBWm0A7j7lz1DC8jy4pzqvNNmcbxSshwE8bc6zYXQcE4+Mnw3C2Yn1zyzAu0QA+MBrs/gLm2nItuAtcEjEv9ef+t8xChowMScxFYT9EDAkYSz50jALuLoXCK2AlHkgIGlG6xtEzXDhtlMnQgx5AV4zBsqoWxmzH29kXWLHmAJ1YphmeE9n4jo5ncNFLJlio0/FjCyZ8tfkdQ3a7rZgQqdy29gB0hTulant7+I7h6+NbvY1FNIt0NeFoI+N7FxeRpiYlgSzfhjEuga7eXcb5qIZGXNiLDrSebxvMZvookHyAQqQ5PNxuRMugBpzmLBrqxYMGQsysuALWNuAzMSy1C0fQS2uQiyXDwN8IJTLsl1aCk2il7o7lct0kdIkDwYzEgyZqc4osJwI13vLrSiYObohoqIVS5itFU1Vic5CmSulW4BC3uMzqoK+cWZl2dnqV62f94CSXPDsxuR+ijgs5rPGElJMRdMUELaSlbm6rZCXL5oE5AM46bx3QfXZZdFexF3YKyHeju/0roGwPuCucmSOV7Nl1TBdKydnGORud48UtvUxCFjjQEylZR2dKZ1IrIKjM4e90rKNSs+yJ9Pa7Tlr+bOKzyN83caF+h/jfFo1QWjPt8bMAOeHHLDW2rKVl1OCZFnx+CcPto7IAvxVPjepm6KwQzd9bthEA1VJpq5kKLX0X7gimBReP19N+2uc0Z69d4dSjq266wD0xoap13GQBznm+QB9HbJpQes+sQnxNnhoIGSCa7mIcgp7zc/7bjBZyKpAJd+GxoTXWBiru31BL22L7xPwKC2fecKYzOtkXYGge2hJEEWa8IlJyzfYHQ3djQ0vvq/WLkhD5GAAJd1jTbpdNkrnA/LDRM+3YKWoiogNRzUwyDYHWdww3bUa9EOZr4ZvzKKBZjkdaItU2DS7B/VTvu4rZnBy66tcNBuQoKD+4lUKEpim/rNZXXPhjr9j4U2HqP6w00AURDMYX2V42rY0MYebkyFW3z1fK6T5+6JM5r5aZ6LHDgRGUSgVeVU3JUqHM8bL+hcpp4LMHgcF/Yc9qShK8TNlW5LpxtH30OILjPTwCaABs0QhA9Vb5p1JcM3+cO9o021UueCCmrWePfC4OVgFG/icE3ICclsf/gXoLvjaAyUJ97n6qa4Zr983GSjiTKPfYJPkZW6qmczoo9dE2GAgs7e9cdHVSuVSnavYo5RWihLceUNCG8E8tQl050LzwRwZhn30wrH7hoQeKgzw/HnfP+Q/1Af3D9z/xn89/+iPx98Ds9wDob+Lwf/eOtAnsNJrp/PB5suWy/lGzphNXcwKTZfSwQ4MRTxZDwkba7gjoL2mQD5yP+x68rQf4xX+oy0Wq7LC8vrNPA0PhmIfrlhh1ljmd65M5CsX5dB6NAj5dPS9bboYzfiuJ+lG/lIkRTosoEbO1WWdTpYyX9f1+0obkudltXJ1A6ZnGAfuP/aKgF1sHkhX5v+whAk3JtnaBtfozYlvoXNoRVcSuDki1ZauQztKLptczNw8OOpqQnTcbUdnwjUIz+QTcJtxCUw8/EZDHAcd5C4NnhdQjCDbBP6DD+JlZUfDYdn5vkuEp74QKQ+SoN7Kush/aGH85n5AIckziE4HvIz4DA+JRjPyQy1E1NwLggcZI1aQuw5Ac7TpXrMxf8WiWbWKxisZVTlj02NbrLyoGa0BHFLCT3lvbkgr4C3+QeeKqA7+IZ0O9jSo4xNPlV4V+IUEEdQPqECGqHRinODuHogbJoPgFaP6cUsqA2cOv89BnR1iS/2E3syKRU0UVKNXZSW609ztr+b6h/9boeDLkJAmY0Z9r0UTiXgRKaYBB11V5YKJ7A1ErT2Cl5s33IWCU4yaroCbVSeVmz2EylxLTDaiTfodej3dEA146eU8cWk2BcYXzAHiArghDu308NN9dz5vahxfYIF74J/os6rnfixLts0uVhBQhoNdCX3Btp8i4EKgyy4PFAEE85EEUBcKr/Ptfu1eGMmBc5alTmQfZxltltnO2ebjJAKpWodIVYouPy6Edp58cCTnVS0rZnayj31QY70B7nxqeZfmyhgMUjg2wJRg/lO5RFA6SB3KMyItQUdlxa7biIlq3tm2JyD8uhTqR20i8lr0eGlSlRn32DiMWDJOC5mmpnY3ma8ZOt9FDdKhGPGV7RF1KiqQXStdsP6dg9TUJBfRunNrxwTS76nQWMjnrQJ/GqI4WSWV7jBc0L4mVSSGI33iQd5DAKP3M5W+w7bUgmgzT3FYkKorpzoKbk0IHJ31KTOckFSI1+ufo5Hv46mdNKgZPq17F0e77RVU8dqP/IP4YJ8QyNm2TsHbYeDLt1RPP82NAatlNAu9V3hFrFfIep3vYFemPYtHzwNDvl6s+3XVr75sJ4zRrsKRT3aY9bakyAVuASnA9Ce89kOQ8mO5/GVAi7xKAAlPz+gpZ9/zyOcM279pSKDDxEVeJqICzBZqWv/pu0OG2SSSjfjZv2mBcRjtc6G50qoPb1T3a2jqsH7LBVSH6geUglmsSi4RAUujdrToNdEB767bTmP/rU82E9si+44WKYHWaFQ7tJB0XI6q6WYWhBerHSNGzxoU11O0VuTAp23/JMN8Kbaxc+mJWNhSZHsLSAY55+czUawFNdrfjiMv0xuYQWgMGVeIH7PqbZvXOStISei5bQej2ZwyM/gn8E/c/45888f/Lf/Mv/9n/Nf/+C/ffgP578c/jlE1bcSfE+JMmxQyN6mZn8g43Yhl4c/uoKv5qO3C5/imp1uZt/bEN3WpCpSGoFYmpO4wI1PRWuMNTTHsmK9bBs3U6TngQ1DrSc0qaENMiHfcoVt8YiXLcTwwc3bE7qQvWm8sA38O1VND07+gEXcbSRc6NupjAiITr2GQEsX35ePmqTizJ0wlFeN8DU5LdiMy8zhqn5bhCEfiBOKuagILUEHgOfDxvthrv5JOyYwPfjKPJif2m4A6Azosfha029Z35NkOJV0OWBkjSQngy31xxmFjGw1+yFx5vDQGlzDpDJVOlMLzz8EgA9J4kMf4gP+YwyzIhpzTPqAri+WS4WMOWPxSQcTehoOMq7KoQ/Nj1vgLp3LYw4+MHHSzqLKkqrsdNQjzNOctrcui7JTIrKkh/EMYtB6jAf5pQP+n//9P/ROcWDcz7OWIcV4ojQDrlcDuOidjjVZxxJ6VjfwK9C0WXAxZM9yEhwIZXT90F/yN05a+iEcdZc45udU6hIOdIRLbTXUmLF1ArpMpuW5OKcqL5pZ/9Qvb2Co8DUl5gN13CFTA1CFHu5W3+IWMpFo+ZqpLTd7UEX41g24WJeGeUWOrvH9pgeOBgXO8H4G2zBcNXBvftl9QDygect552EfwopETAMG3YOlLWES13B0aLFgyyCQyeOYbQSjLoOdZrWYaSijXRz7+e1h8htroYQmHt5UWORoPEPfwzQcWX1rMHhwUwgU7z9QDPEcPJOHYuWgzX+aiEtio6++M/f/fiVcHdXaiVUWw4jYAdsa/qGMVsk4YP0aw8I/vVWUQ1xzBOQPLAVZiFdKKaoQohbh1XulftUsv15kmsjn5sx0X/OWR2lsLjANWDRBgRO81DvmZkr0PkZHkyOP/n1vpZtUV0XO/jOvB7tBTERFYfBSJhQ7EDmUFxrNDW3TJzkVtcYe40FYdNIxaAQgq7yxUvifxI8kAU6lXbFfbEvBp51JFPsWVb13YGhmuEM6FaxBLyAEZCnId/mBJB7ZcxYButk9Gus0ku0m6m05ZPxlTVIfot0Gf3rZsy1KID5btxygsmhr4rjSWNjf0iz5rFk77ZViMfVBtQDeRjFrrfY6DP3m3KomvjMh91p2kWQvL0to5JNwI03nOdL78OIwzpP85VVEDVlawPkMl0JZpUXFLUxuFthooTIGuKEa+hH9wyOUw+XHG2MrW2ddXYByP7DUgOhE74z0teXxm2chEHdg29kEu17fvR89t6WItyLowTRcVYn7pdE37MqC0/NKTkkeIEEddaR+RRxZy1F13EIgGrbsD49scrUsSO+PnuxJo4STAaMNYBty073wSnzH+ObIRpe/OZEY8MYmeV1bIrcNgsGipEiUsl/EK8rgVtcb5wFkOse+PPH2JGNrPvgHc8YzmjMwTtq9WTXGJJlj/ptZ6uLngCEBysr1hiI5FlxTwD5hnEaNrcsC5WKhPZcE7mnf7E3jpCdwxPVaq+df2gjc0iGxuk2bB1lMI36y/S9OE0c7v73DYLctp+mCAr16GgDZW1XgxIHdjNwWxtx3Dg2PUCPjnDWDjESFpK45B0xqj5Rrf2HvBn4eDfabqMi7dtuMO6DSfwrQvsOTjgyiPW3SjAhvx4lIRqRo+UxDUnqk+aSThtazcGsoEudkQEZyjP+ufSaUVyWjajcAB7hTugsLAN5d6DYaMIe3LlWzxoe+qHnTqPuat5JsYYRuakzbwcWum7vMuAtg00HuXLKZmgL4mZ6laClDpZCWBtOhHG3RY9avIoWYHjFBpJThc3kKmFoBT0pYA3e5a5uejTn4y2IB7e7lPxMDm1I8FwTiVVgywNbCH8Tb0L5LyKacYduIJNANkkkBfVapDxxSNKoCtx3lYraHZVssJHgdZr0Ns6l9iTr4UYAbxuCdjLgJ95zFre3joDvGZun9aCLFkw4veU4WCBI4a4DRWcOy6T1huDfRqFmv3ZR84VRtnGe1Rez26MoOTJpnVyjrGrHdctYvtr44u44DCCO7s4Mv3XKxcVKxIy1FhnVODyhw20wsC9kpzALeNN2Bzi4FD3q2+1mBChleCaUBAk3vI/nY/2Coo2H7WuUMQjqk8eGXxpYXKn0aQ5PMs8SFWmIEU3ny2cShVhpGONk9uoyNwasiSfBEdToHrNdIAatB6MNwFdOOfSaZpEaOsDGbS3121pJoT+lvl1KspDMRIsVvH1cjYpLrjbQdCIESk4jo5wh708vSVsUgtCZZK4E70C93N39Vbvcit6v/PLa0qlnUw4JvFQY3cQ8G903LGTsx2Wvv2GA7Fq6N9hV5hTkjId4gu32dAjOJsiIj8HX9zF+fGq2hOWTck8fOau8tSAupGXZrsplVyF6I9CQey5xYE9RWJXuRQuugxbsXJE9PSZvzaOxx/3x7DnRWdS/fa8f5x+1GTEf6C1bbL88t8zrjtQqOSs+V5eSJNSRHlF3eZLYn0dqEbD8AvRY53ZhWjXs70zuYjiXkwOT5HURvY1jtFuX+jfdSbmwsQeWeYGyjxfdlJZQNJ9JdfCHFJT7cfzSYtFHVigBtSdUmstYabUHRu3kJksopOWCIzdylrkUx6k0CnFl7nTyk6iYmu9NXyu6ghYVqBuzKA2y1wYr3QQ2oSRtgw0JxJVpqtBe5pRJx+gyhqYdMC66IJO+Accw22rDti2E5uqUAkubDV7zdoblxyBOW02m85F8bdkIaoQbWuRqJ/TtE+urFAeErn5KKiFsZbF14nS2jWSRcacxqk1pVJiPjVSAtixmvIacQOfB/Jf58/M9H/3z4z4f/DD7Hfw7++fiTZe8mqWN2CbwMKQNBW9oswcM8PO6EDawYIGvJxFJce0h9Mwf6ALnJLJYt2zPyU36+FhpWzIpWZCnBHyWZOd2OnufXzknpBg+yr2FBjUt5pC2wVF6CbHn7CUfp8CHplA3Mi5M59GzsxQDeAXos3eo06QBkx9Al2J0oqL6oeUK8VZD22T5LOZs2619gtOOcEwHY1JQ3yO1EImxHqvTQQVMhYzWkQ36mlPeMh+TpAuEou6teO8fdNQEeViVrpgVbRJ+J97ZXUX1e2e2dYcE4Kx1ybbEjETNElCPir4dUHj0JdhCfkpBTDdMB4S9FTvRHDjUo15s5n3DnEWbmw7F7NzOgFzMh4A8xlQx5Bp/pxwrOG9d47pCzex/MOIkeRlLEXnbnr0mZc5Z8+9m3Qx2AqkobyLhez2KGAnWmiYxnP+YH7ysbqJKygDZRBXopNdNvXO8xlyPjskSDkM9v4SyGSIerNQBPrsOkhLCmh2rnrnpNbOaY/EpHEkBHrgqewJB2UijBXBYH0LZVjWWcEzuDyObukN8AGDEK8LhABF3avhrdpnhs9zQehWU2U8mV8OpDLSMwwsCzeoPduLyX0jQ/pHm0cfpbvT1CNhDrudpDbG2HOuHbTD8uMCS0YhtjkdWk1dns2aSzGAWMPnVf8UwL/KXqEdSY26GNfWW/Ly2qQoZewx+b0jkTSgjhwpWTe78VO8k6ALNMIUilIzDM7jqxJo/q8EpfTo6Elh+mgVPnl/XQ7QbQAqVcg3E3ESTp2WdSpITsh1ezuKke73/xeij0ySdeEkyGfQi2CG67Y/3ft8m+OaF53GSxF4bd8xdac4hS29NBztNDsK2bPIbTjDx93h1fjxBFDixLVaGUG/C2I8xscskJaM9jJwiwh2phXU2Tvd2McAY57im6qwIKsl1yoJdmlziyGdweu/LaZE6ygYp9HwU53peX+jyei7lx9QaNewCWtFmUDyjKy9+p3/NLZ0xpeY0ktfzbiGoN70rK3pBMKwSlRHNaOGTFDj1LpcQma6hc3u5vfEVSfLDT1sZ/YlXLLvR/hmlqVIkyuHEyFkHTEfriv9eJSwOh38dtJQdOFHc2AgVN9Li1rAWTHbnXqVgg1BYoNdCGwBr1KxirEC51WIY3pE2rWmvi7m/baz8TVvSZmau5flKwE62jc0D3oDYtpQhrFT1cL8MBrBvhUzqq+g1oq9cAai29lzjfQ62KCkYjd2WCY0gaYNQCMIR+AFbq5HmcWgqVdu2IBmIulIardMnXvgVnOQU6bMMh64py0I4WjYF1XkpQbC/VGq5K0uZEHGT8pZfNs0sp/nIVX1rRFpgOYzxGWaq8Kpi7DbbfgLwzPAc8PGfO6IznTFZy/XMwZ2ZG+Cjdvqqx6PtFFDzHvGtIet6kYSR5LLaGY1xjDDiOYyQ69ZEwcJOLd41SyEJxtpDJDcw9Su0HXRDXlnFlaeeaiqJg0CcC6POxzTmkZin8xNrlEPKgcxMwaQdhiDXhba6asqioebVnzGuSGVqLU41TifV2aVkic6+bZiGBRw0CKzVv7QPdMq0bxa6raRwoX9uDqFPFezNoeoK4c4+yD28zRiHXpBMx5Ock+ZzDkz75Zy7IExl1jMVpX3yUcp7SJXB5AFo3o5r4pAALwG9Kd4kMyAk76Z9+7Eul9BT7HdVF1OgTDKAIqg3V201YwE4kCukhS4jEMsyEi2KXfA2UehmTE6xGHvD0CgMVkudOAH/S9z0chNqLv/PBHLZAI+9B65shPjDgk7RqnFPbRK5IkYB5zoD0ORzVpSqYx/kz0SER5ETZkm8wGZOhyXrdsjL24K6GoaKXWj047HB6gsldaF8lFQsqVfAyaIvyKaDKitRpZ1kVAJ0aQWiZ0KhDZvUUEkgnsek3+9DVASR5fCPGlJwdliAyxNGOt0OnHEyTvgBk41H0W71+h8NspwWmpkCKwAE43dqmIRk1YUqczpq8mr/QJPjfetyCkaGZWGvHEJ6tQwgMhKE0EdoEAgb5FEPXHDOtGmm8UasKG4bAj6L1wFUG0zMYKL/eD3d4u+b5O5vW2fzQ1kQrelagsJWTHpoN6wIeVP9eUcs2ofNWB2XhuMAkq+oWgamQIszkKo5zSuW7KoSoQAcvLLfHEURQ2dYxYQxlgwcaZcuHrl3GcPq6QjQy0+VJMwij/knsBoz7GI+WVOmbPD1K+QIsbmNVADYyqr9LTdOgJhYErCtp0cy0zO1IWdmLUuUnTx430oNy3cn0BUpJJ9XC9rk26hXQMxuqAqeT8CJ9Hi50vAk34utRt63I2kiwOLkgpCVwAN5aUfhFqdABoLbRsR8Ha42V0xbStC2OnPn5PQW9fTsJXn8VIZ0Tfvr4hOtJoIz/d/N8H2DsnPLFCng6AZdhmwR3Fg+2AA7OahoKwZMSrJi66IB7X3pCEhFSKBvIMaQqXXPVtqjVd3/OpBETh6Xg/TgDVcYSD4W8ru045o2fGHRWR44Wla++fmVQ6x1p57ZDBgwQKzgH1RudAbU76r8HnXaIDDLa1KFlagL6XwIhGnILe0InDmxeVSfdcOmedpg78BZ8iVbFFuRE56VksdU+YToVAiOM65Em8Bwg82CnX4eBX016JHBOORw3IeZhlWpcD5Nl3bcK4y0IGr6k6LJZ6/U1+bl8XLwb0ttF3QDIBZIkMWPRqhawUjfC3c0QdbVQQiyVVpjlE2k8MpP7DoNf93rNWPdkLGPUv+a0/5rSmmEK8ywQc0MiZLCReiKxeilhSA3S3Dvn/Dn48+E/4JlLqPqtkk8X8pmD6phJQN+5aekl00za7STmwzUF7CNAPDa20tWWl1tLqYNeyKslQEcJ3k5JanDt+VtVWfudRSm1f0A37Ka6vgQd9DIbY7JvdaaJJEz6psEcjkpXf4ySDc0BT1x1M3YYiJpteV1wtSQgIf/6BxnnF1RVXCNpK/C+vxzjRLIeipQIATOuHzeWoUlEnwwuN8mh3dr5xKKHJuJSnrw1M1m2d8hDDPnp+PaEHmmRm0tSXjXolkLmOKOapqisto1ks6FXSE8s00RcLtv+AvQA2UzK/AHEQb+nLKzMHk6Ct9ri5LDZqxiVTsZ/M6llkAcYPONndPyoBQa7Q6yxQ21qzVnt5hBxAMJMmZ/5pNeN4rPhQRFIysuBOZzDyaBEjacCbnIk4ZQHPQFZHBnmQdM5i/RhBxmQiizFPGkl152oAsFX6LfOBViWMrmKSgC99q3jD66KJGgdE9BCHC/JaHVRcHP+JNokO8RDqzeT5jitpv733Smb13PKJQ3GHv+qO+s0dASQa+FdskPTlpYtAEkqHGS2MO9FNDpKJeuYn0CJyfGLOwkzqTVLhSaSL+mJbV3sMyCITOGkDWbMzLxaqqrfBn6/euBjAvduwye3HohjKDNl2cWwOQ23nyQzy1EilrKE0RFQGvxEU8lG9LI50RXUB1lYDRgqJditN0nY8u4f7XPjqClsdbfI4nGX4A4uYHYQ2zNTHi4xgY5labGx/xNqRXZ35EVC6UrzVbM5tkvGX/heiFyXKOEYlsiaNRNrZD3uLCTo54yFwqHyKs27S8Dm4womwvnnkzbDq72Vqs5zIF0oGPwWujUAGgcd7jTqKthjmAGOsMaB6D3tqb3uZsroAtSniPy/QLnoYBYCLszwO+Xxk+9g4nQEMwVSmnj85AlPOP6abcJuDITprldNOdnYjjwrRnm0k7arLssh7/d4sx6LPDa3Bn81dQFpwlDxBa6qJKmyaZQ/c6Rw+DlWjFBYxXTaqvQlX63VsStU1FYhGdfWq9EChfNlgi+Y/yXq09TGO4k3iwj6N/YbyqmtQjQ0DBa81CgoRGvjLxTOnDbmrALZGFjdQZP6poAi9/MUuwDMn5gfQd4fkXs2Yk53CrX8nYyOR6DzpP293eljOr/AA/M6vEtidJagTroZgZ99fkbMM1tARN6S6D6DmR60CiZbbbc0wZavW5HzlDgwY81BjQM6IcS8UZLE2xApBk17VCjyTp6Rr8Ar+YLmhG7a+rCD/ibDv00Cco5nJoam+b/FDOASNTmT3MHppIqFPjlMyefZTZUIaCKkCcFP3kERJG7CNBUVZ+jJfUhY7q6nIk712EIGbRWAzuLtMmW9F0iCB8Dt1yWadHFWHkjMA9rJuZn1z21BB82RAQuaf44/8AzOWT/JVDn7O5rtCzQSkZVpP4x5ODdcc6/VIle1ys6pADk4k29RqXfu/7zYnkeY6et2F8JEwZSvfFhWEWNnZ0Jrp17K9A3SUBXCoFf3yuNsXtCYIVkyLOQFlVFzXDMDiZhUFKf3c/kjHgBtVABp96ao6XfwXmJKHSX+Ta40+ywgKToNXoE6vAYDvi1OnBc2nSq1O5Pa7Zf10sHAn/Gc3VAZ2nvaVA5iOnPmYIgRz2xR0UqvsC1l/WnbK9+8kJ3ohH7ygL4D2zPQKWQrmrOpw3ntQC+zDSUvhUIOlCW2lBOM1Bydi/DjmZIvf5KW/q51f4LpGyUUcxsaQA0PzjGg26+WM9EqIdArqqtpPZqDWWNSn1DSHg00h4SjSMdWiXONE72g533EweGuK05RWXyf6dyy4SxtEt6geXzDel6IgjxCtqxGOQs6J8enPcW8z+hNJq5JTgJeusQL1WiuLRWLGaOc71vZB9wSZjY8ZViGfcbLa9LQTRXba/LLvQs9h+T4upu9g20WTic+lDYbwBfON1T2xfYH5QO5/Dyq08p9HS4V0fDIsEwC61TMVF4pwLsqegnHqMtKBmIW7VvZpVoeddtLOW7onlOWd7/DZGp0ziEihc5uBHDm3zDEdHFmxm9Fn2QUI2vMvPxXfCVAZU1XgXjOTwyEorjMjsEhJt2pWY8fFyxqjNnpuEVx4SDypR63q72Fhc8lwljoCIM+WZmXLJHMVnZIeTZo3bITnZ1lIz3EOVPkkb+aEisedrNJEs08U/ePWkuTGNcrlcDsBOzBEv/vLRYO9zjbgEq9pVUAb/zvRP7CcENwKGiYPsjIbv8SbUPtHpZuBqoe4EKSLdn3pxYQt9GC7cz0fGBr4LZ0wn2+9hop9Q3RCRVDjV5XhKEfWm5uXZaSBwlJWGUEotXsGDPNStzUC9vrgjUg3bOgTGu9h9slfnl+A9iiZ17Rhcb5lSt1obk2zDRbjOJLQuB4alYI58XynJnBzHkClhZLmIoa88B/3Hn+Xf7PVnk7+N/HHDViWz5c/UJf0b5Cw/LT2xU5TumYwPMcNrlLnfGfkXTdiGbBNElFNFLhZlX7FUkTSsaFH/hRSkYb8L2r4kqBvSpmlwAngetyAnWhIUic0n6FG5KyCjrDSyviCXTDFqq5mt22lH+RCedJbzyAQMWGQhuIKdJzAqfgLRfKJ3svc1snaaqMvD0SAGr3By8ebJVJ7Ow6yRIZCH3fKhG7NM3sONstlAcLzgH3N6C8T3T7naqcJ/KJqWqn89z7BN6Oo6TfbHbWafkZkw6FoPWhXg/P1IyobQBb4rdbGc0O7Ihnq19q6TGYQP98lRI2IBzOKz0VplWrfRTpTm2GDRZMttfZnz0xQyT+fPD5DOkzOBlEa4emLFayrlHTtLI82Rd6y3xbW39zARiC0pK1Of+5v5c/wEkpEdSlFjnXhb020JaVA5dlz+l75dxCnEkWxcSsMucCQBSm6viAyVUcJF7YxjdxmP2J5WSVdJVQ0NfmLRbHnOxe22rnyprMdXoI7tKT6cu+uiDtGESf2v8kdJqxzprHGCe2DD3QzKmvSfctDDGj+cyQZ+ZMJhPrdTPAWOfgQ34QlTrz9s/pZE87Z3vXWbSUf6hX+YaSXErAqjA4RmhZZRe+4aqjWVMGUfDMvWFhhlFLIa2M3M8E4Qkrj9gxpX+pXp+ck2E8eG384L3eeY7zK8jLiCer3kopyILV+zWZ7cR7kdjmygKbUZU5yRaH2806BWFeH4lkI3M8Hxz6Mz4fHhZyf858PifdrDkc6MyH4aun0/xwkvcMS+jwBBV34rhMAGo7GD1we4wumWLp1w/oLncESCQKtQlWE8M89FOuHoC6THgqcIl8OFg2R7MU1JJj+bGPLOJcEtKklH9v1g63QyDZbDBzIAsdQt18ZeS+hfLILwwXm4Gouyl6KxAPJkKuZs7+CyWOsBVCL1GGVRv9PY5pTtDSQ1/+CyO6V8UFzDyI98lm6gl32SmrvOLUEWNj5pSItAD5hKue7BCpqRdS2BfTkm6fMP2n20ZRbE2SRdXanACiZnr+xokFxV6h5hmPgSsr0O31FOpBV0X5xmmXz0rdkaiX/7/32cRg5FE+bOE/DFwrdbDTS+dle69Fcpzq84NQq6BQxB3ughi6XqF1v4tCJcEc20lXkCubzwGEWg3fFaIs2/tg++x0w/SZT9pfrUsVyUFjIBc/Fr2wJyOpL9Bj1Kwi9PsUKTBbELewLqO7Wlsz8wAJpPn7meRjRw6m9Fg7QGVVe5PywVuoyvaMJ7qWyYGSmQ2MEUVjOF4bQ4TnW4lPwU81p8ZbePordG8Tu5Y2awfKi637PDttDHN7JNzw9eiBIo/HNI/HPOC5HfhJ0Ol8AHzM0qQBdLmWGcJwxgcyaDfdl5sf/vBORwwaOak90Xi060Y4N8QU72bw+rnzvShbt14sp+Aw9lG7LvOxOSMxLI8KjGQjtTCem3MYQ+sNdpGGNYewxO5rnTUbuVMPKleJRNcFAfsp3Jl67D/vNyyYx77toPR8K4T1ycdPIdBBglc490ezvMCrjRx4YMsPwDTkovWlg08WXOR+ucVUSfz2DzBtfuWTe7nQGoH5Xn4YpphPpViQ3Nqjfxk3Q55px+cz96cddAFeoEiKPcDsUcE6o+VXA7DubffS936L6vMWggiQXbeiyt/pV+bmXatBgDsj1euHpRcCfQe39/rJf0DegV9BkRNnjbGrbisR2Lo6CcF1OsptcvORWVkkIsiOZvo+RY15/Of4DzHgkFmFFW5xmenUN4Zv07Aor+oxywTSyLmNWnlBN6RGpUYlk9tknFb/IUvlge/tjAb5ex+MxNsWBXWRijMa5hgsu+LZMLgGed26Iv4HIG9qDCUUVV0ESIpC9leBRsHX6JS2THZZbZlf7RiN8W2BoEr9xiEmFXlT+4pXSts7TS/EWKtOr7R5yQt/k3xBUydv8AQLBLvV1/IM5pDjMzzyZ3iIz8E5/pz58+ccnD8zfz7nnzOfw/njYSiFdc3nMCqgKh4z+dRwFX7lpoDr66dv6zD4E/Q/mUFMYgpM2ZF04FSVUNgJph8ZwXlHw4vcVMWNAdwYUDcOaUr11CK42DNjFqWe9G3bZwnYrKIL2ZCSqhUHziHzIRMqJ6ETrTmolBN25H8mfCnrau1iUg5M0xqyNGOc9sidjoxUhk544MPlxfw9sTrlkPhEOxo2r3YdxfE4zPvCzU5tAZ6pbLINiSl9EaDW2Fv7njJcqBAiZRUFGefJdiOZOJHN40HswoVSXU4LHNl50U4Bfi1G0/cksSfRJWYkGcwIXjgnztUqTNj7UtqDrQXGHGT5FJfN2oqKjeWPYHX4GlbT9V5ZmJlN38ZJ58MYddUVN221xFl6rDhnNefBMYY9n7O1sf+GzSm9zM7XpXMnOJ3WlrkXo8a3FliBeeF4lSIttR3KR2GxD+JumV6FyiNMCux0U5KZOj6Dl2z7cvLPymgVsQXsW3V+d4CF1O7LkKFWLs3tqUWxeHkRVVyaV2W0edCS0N5p4ByS1OgipMUgBuYU7X2G+wlT9HDOwSFuC3SLUhclVdzBv15YSjj9nkX7JIv/Wcx2S5FGQ4EOlXmbcm2M9S6hV6FXJPfAgCnFmPhgifpO+XHuD2ADobV0cxrR8pIlcAtZvdkkXHs4wa5Iz/+N1UUVR4k7M51DiikDk5hWtjDiarVA293qj2HcP5tfvRRKyM7EtgwcAbEjSZJNWF0+l6HXUrUsQMlJLkyvagPt5+9LZs+qbeiZj9RwtdSDywnaz9ui42KGsQ2c6rC8jt8u7oZd4ryTW2dfYeHVPsywUAGCq+ubUduvZQ/ZWjgStBdSl4kmIv+0Muw6jZ2DaUHg0Qn5VmSZ9oln9Ts9jSwUneg3guMApIUXWAEyM/CuU14Wcm2rmlpGhGjiXJVdXgUQXrbNslcXASvezOlZTrY9oWz4SJMxRXPSJZGbHjYZZ4Npj5sX5zUOJBr1sfRD7lFsgisxwtZFxX8g762KQ2hV9P5TheOyHWP+l7sSPYE8HZpiIGdmGqYRktVBEcytdCLGeIb991uetw2az6uC2dmG0+3NxyBCm7fQwtXRuAkFxO0ZRDIjSts0QgyJNoac6Wa6Ui8Dh+Hl3Bky994GXJUkf8dqQ9AWscAn7Z5D2DyeweHQnGxBisN9OYO35CI1GwSeyTJUTXZYJYdeZe39+UxV9fVcUQ7NBlgoAo6EWngtRYDwffb6oGCva47eIBqPGtnwwhc3TFVbP4we8JSu2POd0Z+yugQgakyPPNMd44yHSLaIukBip+VR3JE/lv5NM1RxkODbNBrknw+YECIBNDXEdS6g4p9HpZmUUm0ZS0TvkMicTT+EDyK+4wDDGfMzM+M5YZG3dXFwoM8HtWgbgJqZGX/O7uIkc7QHVqh94vl6hQQRh3Pv119YuiqbCUEpbkIWSIQOQR4udRumvhIf6zs4BKSZAXUDgVKqq79ZGewsf5vWsI0mTQC8u06aLVr1Zspn0xIAzN20PKZlVQET1LlyXze05aO+e1AaJX9R8IAjzzAamtDrA8wESfIz/MNzJnOynyEn67HLUPWBH/CQhztquGwK3ZJhhndlN3BqRAOxz9UJxm1Rbf7H//6fy/X0XnEsReASwBh2CKZ3x9RO/SJNQjpZryvN07Ks4KLtNhQeGWpsjUNoadhcZ0qXOj4L4+k6XEBgNg7R+asMenTH5lwOLXH/lvqcZQXC006Y6zAgzdxLkrwaJ8kBfK8+Soellp8udfcnkW/VgCHOVFtvR9jaYN8gxLJCTPCFTHzt++/cq5kx76SHbc8pPjIebcj3Bfb3GabimzzLM+hR2klcZ6IHa+e83YD3E/OEh8yqzk9W1DQIwiAioM3HKSwG6JicJKji4kblqOAhyaymDMDMmcC2jLIjPgHAGHd8xPvsPc1H76zhgNA92xmnzhaGcuYs2zWkqauv/f3iXwwgfZELjtMz1laLDULKUGlqjl564Eor9zMVb+UBrn3CRHYq8jF8CMCGkTED15wXoX/WRxQc+MamGtzDfEqRlqgqWNmDvulrOHc3N8D5JBl7udhO8pg4jjx02RbknbjhomUIT23gcknS2As8Pq94dD/w4lwCsDUzNaUsV5M3gImusKVBEJVoHM4X7Q8XuE66ugw8SQlBYi2Z7+BwUR1rVw0y85st4PKQWGi2DYJtwWRNfYNUEEcOzdlKrt2U/MXpXK3tld9i2opU/h6KfPIyF5+zEq82tlbIjZo21Qg4rSZNmzKnopy4WVQ09WuOyG/uNPc1PaOKyx5nznfH24RIzGHWxXF8CloTeDKJsiSaWbOaOu+zJR7fc2U9sCH1OcWNLywCBulnhyC4SlZ7RIj37GVdhcrzNqhHfZgw0d8eQujJfMDLLlIgYSVTCDq7B6HERCMbWrWl43HNA6cbMh0GMStPTzMwj02MACg55U0DFpIMpFmP3+Ydu/vp774Au4gwz8uqYsXt9SXQkIwms1kZiXZ9xpB2xrRPukht4XpFD/34LznuD2uDs3Vy52bKQsSP6OUOG+FfG1YquOBuAVmGkWrHJi8AiRrp8HVXdD7EnYmHBYY4g8/Hn8/8M/4zQ84kfYcLwxl8PQdXecQXd9K20Y1LQSbrAkI2V2J7pOjnB3q/lbfVtboI0g4bmO5dvsQM7CvPoa7PCV2A8PjyTLj7TJihLZFT7mkg46iu4oHuezurRzcrQyjxSVBO5YMLfu6znoAj2uhmMJGDr0M5x0NL1ojp6kIHc61MCGT07X1GNiS4B7RBbdKjL32UWpCylg79fvjZDuvXv2Umu7U5qhZsKZSMUIeHlHK40jv6J3mBpSQ6rX7VWfhhdHxKcDvx3/nV1qPRi2wweWP4l6tJe+ccmo5xMuX5KyPPVkWLj6Y4L3PqyG3gCkjddl26fQsWtxKg1EHeAJzdftGAFlxVtnIl3fmjMWwNOfBy3dSKMy6ENoa4+MBZ+pnAtfsY2LJis0AEyvYe6bajA0OhqwmbnmLpsh+kI5Lkga4HsCnqk1u/j4E2zcvtfZsdJwyPlP9csX9Cvm8nz1JjdwQxQCbNCiLdj5JthQEz1VNvXyDfD8Jm3eAQx6PtBJYWped5Dyau607IBwXFFLo4C9w5RQg8Vd0RWEMRN3pjSx9sBTMch/RN2PQdxGzKM/GgaWeB8sjOtFg10AuVCbY9ESS2nYgkuHBWM08LsGZFtMF7aM3Q+GIyRLLeC7eC5klgvl7YZULOtrk0JT5MGeoAztTNweLpCjW23GkJ2BY6SrW1hkvRsg/N5ZYDndU/m8cnQyW0quMi6q/btQLLvzFyJhG10eCOcat0XOw69EVffq5y+cVFOXMyoBUOtfAn2iPPeOKLcDg4go8vVCetvokcD3ejNTt90R/FfRKTqiUpK5GN7zLkzIQ87pzjgEkWsEcxy1iVWgrYzGfA8G3aXK4v7ePI+qtoyNsIL9QlIAao7J1p6Emvr63ozl4DfQSo6GVHEW/QXimwIee30pIDeWo3MilGvE6pzbzFNpShzCtniji4f0u68qSZXMunPtus2IZFm90lHQGINzqSyL99AR2eAhsiWojNLvkNNQY+k8K00wKuyW26IP09nQqswm5HkATY4qyZFe3b2NIZiH7nOWwDwjukwD2R3N+O6qqSLN02fZwvDHStbVhQJT/Wyy5FUVpIHS0IezyLiP2icQ5IWLPICkrtNsRxxWMGJ3hm3iAPsGUF4YNSB71AFTy2y2FyDYxCmyh9HAcYlCBqV0RSWZdpD6/VDiedraFv+eg0290DrBZtzf3eaIPW0JmEqUxiNVhjEsrYn/vNwzU3zII/O7rUu2nqfPagB+W4MQapwHsEhk/WEzhAaIbBfY2RaTtd4pLZkQy9Rl/ueHDHrP2M0HYkmmX3LQ9k8Zwl00tJFlWRZgc1oSWpHFaxjHf4BATq5g42xsC1ccqLP+7XNdIH03v3IYC3kAESkLanqd+rS8RG+wzdbZX+1ZahPaBTAvcM5xyOleXsOUY5JF+F+c78eHvHxKVxczLW8XaIw0X0LGyBDd70PdDsH8hxczWUFZvZD5ChNbWcEc7sTVZmYc8UZXI54hy50LPhNWFx0k6oHRJ695C/jGxm6BNOzFvgAPtUlLXpKo62Nmana1ig3Ih384fN21y/0mxa9A0ozCetfS2cxlT47oSGrn8NQB7Ph/wMSR165hL8oCrKOSbuxPaTcIBeekEnwwvuBr00csjHhq8xObPVJcVLPpvWi76GeALcvj8FXH5xM/Rkq/wI2t9tH5LRcVbRkZRGKF2yEUEMC4zHuSCMrV4wlAxft0goy5YzHtA7wU1Y1MqlmYLMc1Kr7lSlpgMgbZocGAOVL53epUDkDO6nAA3aP4fqTHRW39EhV10q+pId6zEh8vIQuAFTeQTxhALndEY/zYG71YqYwRemo3JCpXB4mmwCyw/JYaJcYlmiRl5HwwrCADk8WbpsdusMxBcgzMrS4OzOi8zri4pXWr5RLJYQuNGXuleiPXdsG42O63nyTYreaTdyPJzW/yE5ketFhrvP6EfySlCYtpxYYrshLDx2JoAzFqqaAcrQKQIH0SmOISnO8gD9OiG12Lo3Y83e/iNTs4TaIBf4v+GnR7wwhUp9TSzWOiqPJdpBZ4bA7vSU9JYtpfgJAXfRYk2K/yhSGmYofSdoSfaVtb0SHgsXKi+8LlfGt2StgIkzFQDrBhyUZatXs1IUIGlRhXOA2YDg8J0ldzO/V6FvySk4ZiMYpVNt4KR23oSKIu8uGWyKyl716DdGvrLPlooEgHsRClLAJzK2TDGjhjts5bGO6ADtU2Yg80QDzxviWtA5ywCn/Cr5Xv4Ls7V+MzFRHq/mbDA6HlRBCXR61+hOxRhQBu3jYUQgfe5QvIPOM0ZU7B/LgLcEoLrQLJAM+DnRapRHQWe/FyDmmoCcc1AkyLB6ExWhFcoizacWp3hhPAdYe+wXZq2PCY0KcPOlSx30JRBRSES4Zo1TX2bZXeIEDa7eqINDWPTdTJRFL2fB2oRG2DBQRyMUizWCp/Gc9xJtAgLuE63bnHoySJbSRhbcef95P03EI3AlogW/KWBOBxirDHGR34wi5AhzdbG0cODDIzE6rKm+MavSFIB1qbaWxnLk7MVuXWiez6nSDkbst6NRzUyIUH1Lhx8LL92miwHWUj0fQG1fbd8JZrbncE03cu1b5rC5J64Lzilt1ynwmP2/VN/f5kjUAyyStSIPIIMruHdLIBXjud3iLVjq5wj3/2zhVbevZfKK8dgiCu3xnOooe1F6a+/ymTBPWnwt76lX1oUVEXi6xL4Po3xW8HBxPhJDR4Md3k4yCd2smV6ZWoKxVW5+z3f/dKnw/OYqkkJvdfy8V6WcVrGSX47q0UtgRDSdNqPfAuQLzPExPhiyvVoC5vhsBYiyO/R3iQKsjV8QPrHNUd349G+FvfZotE7Pc+tNWkyv0DfDLS2ksAuN9i3lO01GwpuTUoNFWHOAg8PaAwu+2a6bCfnjxifAWemTC5/OGzHTOd1dpqpSZoVNQajH8FwA3xbRsnjrWPYN1OkFIzqUZ8n+JkDkZd+kqo4aeRyQ4yFT51YHZ2QQI3DjEJxUBOH9P6d14EkXb1Lkx7LQw+7hXqavRc0bgE5DSrZ0cU37C1v+JoZdKxYCK2XCKOWNUxIDRrtQSNWb5kaaSuENpTL7s0EHrM1VA0cMwlmYmM92I5Ba5ENa4I3vY0f3UvWLQJV2AK3htc5Y4UYoIn6RBk9MBVrN995NgcxS3rVf6NZK7Vqgy5F9w+/roXXEdqbj7DG0makzKwgKnzmN+aq2fk6s9XkmfpUzPhCnfSsPL5IUCOu6uMMuGRjR59q/atmn8h8cfOksAi2thG71vcVGdvcO8ewVQtqk5U/CdDGpMkUq2pnKKFMy+w0iT0soo9m0oQsD0tetxYqmXmgKY8XKzapAetRtzQlQYyiFzgF7P3Ivhp3eSBMAkEYExpm4S8EZZPaLuMhsB8zMABSAqCAtKwKP4UGUka4QBFFngHR8ADNvmghKZtoy0SM6fmarX74xQWVicFpuv8GiVHzhNVRUMPWEkYce9a6UKUiBl/87W3GrTEZP2eDusCyAieTrMOl1sItAiVYVQkPbqo736415GAcW05mdYo/aoM5pqaBhf8o2ZEKa0AgADni3o9euDQxkxUB168Tjfft4E5Yy9QFotWJoq9rgYUSUN/FfTn0Uvtami3dTU2tonAsgygAi/oNERQV+qhpmBSIWwpZ0jHlC4Q+brWGwxlqAcesrmU6Jsb3l63JDi+fTAYCXDe1QaxG8OgqCotoiu8mxT7ZfLXnPUe7gKoc6CD4VAPA58mVysJXjdvT4GnmIP9XCY5afcCR8Lm7NG2Mq90K8wiIS1w/mhaNvjs2VkG21pZyflWlGRyoB35sCg7XKTgp1HgxqVutc8zwfl3YOR1VFEcEuQmYBfr6P1B5mc3S4ReXh+E3GtK5JL6VahJkZ9CAuXp0EREQVlA+xTyS7sfrr7UkTDYBCAhQD5TftCeou5K1WknsjsjWWQ0XDcBBEy9iUfYUcmKxebgmQ3JaM/1eIRUftK5wy0DiUa+P8ZPlXBCSszuRcYQvkHIm+JqqAJu8hsRMk8OmJCiQyvPE3JzOleOdEdkar36oFE7QKILQWpbG7B9YmewmG3tX2ADp11hhp8gY3mjHfyFvj+b0StUpPGbTPDCB8zw6pBWf7olpa9woGsKIN9mkwz2+fPboYoOreVmX7ctL/ag8vTAVpefY8w6FjUC6G1ULl89Q1sEUDlhDIPBAj0OjdoG8jj6jTpLjvNJveEIF2qz3iEOfT7zgQUEkQmtvCmPdxl4cvhxR8r0DAPR11KcDQPPE8AukMwrBTVlP1qQK1s3S+lzmnP31BAzobAnZVUofBijxTJLc20skU4QQjpMpEtAIh1CY6CQUoW8ZVlD8NlTFuxHXJtjzpfuwGl+S61jHJCyAyRUonO5+DyoSy8X69SQ/O+QyOBv4Dn0+Go3E45fMBeubw4PSKGQ5tOundu1EwYDq2MWBMOiajIGl5Ve5jbRwz2OKIZeLLKpJbXgqqzp25iEP4BraQGEQ4m4eQVw7WCDNXOLVPYGf8hbMrfO943kkmKr28ZhV5KbmxHJlM3DZ+cDyeuDZiZofmr4asxjNrA9JxSveNM1keVdVh4aYTMWPm7pQHabB2YUk6JSEWUwIMT1iiTO1+8sUylUMMo0bBGZ6Dz4fNL/VanzC1M2cwEyk32do3r1xrI52EGM25nQPLFwzT7l6dCBpaEx7vgvK+ug379b8c8VTRNaH5UuHtlVT2MxVElKtAaX+ukIelEAtOKj+VZ9TaA/2PQIebcWhNenLSj9XTVhFhpWTezmW3zQAQJ7071EeGTABlCxikyl7Z1Im+Mx1Wd1D6RvpJVhEAZIuQksmnVxWGSGlM+KPJVHj/TSjSdPMjsnHPaxrlXgmXcCehIyXAErqJmcn3TVCtHjpRhhY8W2/mq0USleZUZ4cDLvI5SnKvIEG5KitnnvKlJzQOoq9tTs4nyn9otN5O0ckMwyYFsvUkteYsRFxhAhviW4kHIyg8Q+p7Oh4n6Oe9NNfzzwngC447grhZrQpn1ijqL9bPaajPZTOm3nd8UD+y4SeiwgYmubRqvntyHLzsvxsiymXmIZW0dTicIDPuKF0a06mOzXH1fMGGKaQ2pTrNJhH1RTAi/c/leWqS922T7HwfPAcqyUqqcvs7GfUAOr2N7p6eVvT1Y0jj3Kej7AtwFquVVHpnM5Bq8QZb4ynebYuMvDEsxz2Sv9z6osn3nVpnlW5aItOLlnJdsEIFxpd1pT1bp5QSzsdL2wAp8Gl0tiCPOtE1kH1KSg1ZQwmH20hTJGDvjU5XyBPxCEDgXq8qlfJkEXl/3LYzNgL2jMILUdS4zIiKE9FjZgns988QWZ+Vi8plXqM8Qu6CMzqWRFc8PeBZ5J5r2I5uzkLp9JmWYW0uAwxgjW3x8tELfN97SShSD5tkVdW0tSJAZaqMrLYYTflJQJxRUXJSF4AJ8xA4Bx6qySRZuOqKag3yQBJxDNYwAqV+8wNT+UrY5tCk6qKEbEQZR7LQ9aPxmbmCr431QptgMWIldCHsusdBL8UlrmizovcE97PE+zOIWXvcX7U67cidMDBG3tvSGDCiy1mIph1K3yq0rEtTCVlf+ZmN0bcFVw6jNBxf3j6qlr34afs67zlDxX5aGZgd19jWwrVfSZtWgVtUwcbUezbpvUygMdN9nW0lpUeclqXqG/7z/j4JZwvsj8twkMh48rhsJnCTVcjh7T2IQ1jin95FDplq4ZvRWFI+YROvEObbil2X9HV/VbLJjMPoKKQPS+B2Zj3ENCIO6oBIeD7Mr2wlq2pITCIzhj5epQzA7hSf9GHdRrDJ4gvis7RNzktaNJRxt0gPS9p5diNGA3nkitWZckcCtYf1donC38TBOBY2rj7R5gzDoQLD4UEMqgLGFrYz+RtD9LKfBvMcCFTzFeRiEafEmW9hvSHfQqtIJFpLIoSOV02mi2bADDuiDvCJ3TcQgImJvU0sUzvQWYpyHgqK+HddjFjI3AxmIg3O8P8+B/HqnFM+aOwTcxpwxxtDrTmykJQKJnI4GP6myx/QUXC3zC9miu4nvMR2f/183WalHw5wLaZ0sRhaCW46DIxwGRn7FvtXUJZAurmjplykQrIfQtxOMNFOiyHGXtXLD9oY1xknv7HD+uCq+/JHPWXUvQNsCWoNVklu9WTwOtnBlxjOcbr4iTVRTxelvxjT3QRCZXghaJ/sKTqnk/zZ9qmI0XXMl+O81AmRRxjluvYC58QT9viTICpweMJrec47PCkj3fkyVuqT3ubL7GgEMyu+YX3H2Bo1HyAj2EDnF1ZnQWDtxQNbZk6uK4uf48laYnz7D2ok4dx0XQIHESMXHBSa5ktwJRguE7gcU5u3K3SeIUVcJ5KcIezbSiJ4JMM6JT23LwwnNZs/I1G0ct/EmbxrbdcHwOFcyuwEg4vbn8d6guayZAEbzAwd4apO+FBpHgpsr2C/eIShmJ9dJsrRuQSKlmHs2RA6kvw2KfCQ3j1xQ2RFX8hnlM92vyG3LKnEMU86vwPsrvt+uE53AiDvbwo99zsIQa5a0lgGEJMZ3y0H+h6LDvIj2ED/e8fRrLVcTMLqsVV/Ufsl88mE+Z1iI7wN1RmFYQqkCgrRz2KMMy/dNlMvnELjRTaTdsvsWbAniZ/g6uojfckYjVcbX7o/USXt3J2EBS72r55XtkUpm4ok1mMA+VaPrGIYRBqxE7DYMrXnLi6CNGpn1PT/6qLg+QEenYiqFM5RR0toq00Pec3CHllQWT/Q0Tx0p0UDaM7P1bAIejkJbiOx4eA6KuNUps70SBBVmFjuQiCP9m80WIWfxcDaRvP5zXTnBBS35DZ8fVvAbCvATDwH6gWHneSdTO4uB1JCpwVFYwQfC9M3wh5qFqCLQ6r1Yg6QwVbJAHa8Ag2vL3aCdFev7dNtWZJqnOVjHIV9WYiqaqmU0QEeA8RrM5DrFVFseZzGTgLoaXUkMk3g4Xa7p+Gul6F3JlVQ0uvszigbxDjaFi1wdRa9ehm7wHnVX3uyDAGuvFrQrfXjNC4k+Je8IKPR5fei1AUwh6YdaVQofPRykJmqdxzJSHAyzratNgYxxhfbNFWrDUQWJs/xLGExpShrExPcpeWkaMNHgoR7oSa/Ziu3/Dq9kh2QG6Z0AXzVg6Qmgr77/MuMnM4Ebmd2CYMz+FTtwIFjbD3AUJ/HR+bE8E9YRXy4wXk/VFutpTIVfNmzp0oOF2Qnimln7V2dSxA+CN5gyr32QYm2bjeIs2Wp2VC7LEhe+WAodveceYGJUzXC9GoJMzDLLNdu2fWCutM1HVkG86TZ6DUHYi7kl5I9OV81jEzhhFbK8vKdixAS2WbBSEbmt0PhEkkZ97heWVK47sWKXrQYG4dmXrWSJ5iPVGsedDS682JOgqY95CR040x6ByWBCBOnUtc82oPt+KtWYqhYvOQLDvCJ8GraoYiOkSjKX44aEqYmro+88NI1Toh0RDIBnGGbOuvUOG4+XSEiwEgRy/SO3X1UUeYh/dJ8lfje54MV9pAcCqtpTIpzYMVO8IYbQqYby/8XFWsvScIiukBdjoeGM7abXjVaETSbOYAiZjzTE8Pfg72MwCaj2xmbykbMTEd1qDIvNOcjx9DCnc4rGvBxtC3jLANuSYSqCVMs3WJ6eDDZRJqiwdc77/HmOKP4yMiXjGnGX7kpMRnTBtnka3Mww/PxYD5lseys8J1F38pKvZRi2VaxaxbU7mKBON01ZwF1eZmqu5gLP2Cu9h1kFR4xVQEOu9zJ6SH1LeM9G4IR9eWfuOMD8BtTn7JfeCNCpV78GimhSprLZWLL6h1SsHmVocNCdtWZ095ydTJgayB+DK1lomYHtdV0uPvav5e7XN468IXNLimUfA9q7SvXXMcb+xOPIk+Zsz099hVnuiwX5dHCLZZhKyEjUNade6Cve05YPhjXxeo7rloqBFFIagf786Kw3GAHS1O1txxBqQXEyyKAO69zTH4ktWeVEb8IguZ1qGa3Bgd+JTRBuA7TS9MhSEJRpdiSOtTei2XuZEXGoOfEmkmvLkNpRNnuKNzYU04z6M5Y9NXHKAy6XwvfHNW/IVmev54fVv5uqyECHF7Lwsrs3CSNpbQAVoeqllF9wblGLfG9JUG8hFtmJ6lNrMOZzSthZfPDC0eiDnUTg6yYkEePFEXGNAw6go/pApalUlnskU5tRniVhmFQc99DxIYmH6BnvlS5hgG1nf28tCh5j4iYiQPn5MvkEW9kWzu3hS57MNW2esu4Rd/lPvJK9Ap2cFnurKT3EmTvVTZhlyNIYGIFaeqNW6MNEG0yJsK0bZvGZsiNnqwYp7yskRAFAJzpAKk8OOA4rVksrwYhMz2XgxtGudFFeNAWTXVo+/0W367VColOHqbTZa3HJWFCX8HCjS56IY9JibQidhjmF+U2nJSYg6j6H02x1ydDim1ezUk9Oa/azjUh4sfrSpA6NrGVH8Abjyl6VHgDtwDkLg8sDDXTQraiLqiTML9WJYnA179OkTKBhnYmbsQ/AEzd3PTmrYoKYMWtCP07nRDAOw8HPJ0eyas7+Lz2/eA4Sgsfelb9dE4VKfXpP/awDlxDTB57OIPlPTQzs/QxYgCSdu7+z4avba257iEGpmsOI/zPcQ3Xm3Z3wlumsjD+/JLeMqgbHcGneBZmIlBrZwMfguChxwj5Xt3spKzbDVHkgU/WEDuLYh8N4qJRuqti2lhK/BAB3FADs12E4CVKs+ia7lu17dug69sVOCh9ONOE5ShBEhpUBKJuZMbCvYQBhtgLOG198mmhmmobmPHHnpjLQ5xOkYax82aUjjazCxWajbLaSBFMEY4bQqKn6At9U4vYVaKVMLBj4LQxm/1ES0Ets5BYVHKURsu7rPAqu9dU5kz2bTOvarF+jS04PNpC78RKIVx5UOzWWq1xXv6G4euROvwqZ57UWLZ1UZDV9Nf+KIh5avtitZm/iDZkHV3/8BQmRWpxGrFyqRb9gJ7vr9+ijUXiZP/2WDFmvzti17E++saRqwDodty7IXESk3Vtrg7kNFYm7egd8kUSCHopd53ztq/LGe1xp+iCxpgJz1h4u02KtINWVaTZXSPTInEwPFGrYjRIdk+Zl+A9nPFkfgSIAZ/J11I0CZydgent6PwlhPkMZ7pEGO2vpa25NVyJWJsDkbcqlTYwZzk1dw7DzD6KCOfJs7oL/uBRDihTkIcCRjfch65htVEtM1LHZZ44Tac+ftgpzlDGs9FkUVkBEIBfcyRqSyAJ1S1XMvLJKhi8N6mKlRxqGzV5VFh+pHvJNEnYsvXn9O5oejAqN1o43VI3e6sDMxq7G0QyaoeUoMaiN4Az21wENuzmMZS/7PXz1rRougIwGUrZ2Imb5rCRdj+rntk/uxN5EXiE0Ax8K8W8l5xm2M+zkgizbYf87FaAtMfW/cr/nu0WclVfeWVTygNBLeUU3HSW2tw2NB+DbeeX3Ni2RGA9Aw9/DKjxRPkOCszpKCefy9EqyTVvos3Ot9AbVVIB5GrNcg55V6lqoeLOvMpAr9IzyV3BTYUBQ18ow9574kO9q+Ofz1rCraD73jUPdLuLSExSUVV21jeSFS6dXYzb3uKYk1mERZaDY4P+IE0opq3MxrjfNCWNk6jvxvLH/xYjxIMxN70sfxJhG8vNp9O+WdoCUflBBr8tRVHcumw/gRYdBYl5e+bjNvpnU+KfiP2msteQZTEjTFbtB4vh3vSrLILFuETrJ83t2BUFkKnn3eSJm9bcXNRte79z4cyjspl6iIhwDHg64gXfZDSe69smDl71Pc3Lj5SYEHzt1/dwa0WdMf1TjqO6loSYMzP2VbXzXplxslpqaDZEB5v0M4fYb1TpomHHeDaQtfKYggsBq0JSlnBlBkl39UoR/GfLhPn98mtf+xqX9yt87StQ17q6WYSWQb91h+Ssg9/2ZBceLlfkqkrCwJKfA845j8lM2BvipEUPVHrgCtgMez7UdpdA+BQChrRK5kg1kbsRd4v6fXNM8hM6GoXDcj3rwDNj8M7M9FIQE8jhlis/1IFzcYhvtIZZSrDENsaZlmLxZgXRwWmv99nSe7xEOMt+dV16TfTC7sVoMdE3CTQ7dUNP3RLq2Ahq3ykwaEVX9mEZ9Io0VeqxeSzXooiM1M1Elnq9D0PM32rrtkcamUJimXp6W0fkft+oDNaNrt1Ds4tnOiwRMvLyUBe8lMfm9VwCs4gtnALb1vvf/+d/Yo9b8BC9AQwdlXYq9ZyxU1ZCABtoMyoB7xllCibTrnROjBw2bI77LhOrSmwazaMqJZmGcI6lbsYalEAZxVumY/IhQu+Ac+AbFeajDo90meBmu3L8Hxghohk3QgF5xb0NTtyEnV7EtmsqZRr8ZNXRAizBs8wqWtA0k+WhtPUCyCP5hi51BocV+7pAlKi7+mksdTAzF1pzIuI4O3rDhcdy+le+5GYo1P3jSpmXTv1whpIxM4myGeTd8rW0dFkqBTxceNNxe2Xs4UmQcp0R3ACan0h/eK4d9qH670T7ehyFfiYDUFUSOQqCE7hQaJVysKY3uAFaGcG5/MpXvLAl+qjRvIhhI1AWj7N1fINU0VO5urRNlIYGr7yD3cXdFfwXGcFQDS+mvf9YeVZU1EIZLThSZWyd6fqkB2fkWTv+SGrvpmVyc3FQqo26BjhE3vRPLLtecm5/nKsZCLTpxUzwG2TFWWlqcgB18nHjZp9ffkR1P3TcBk77BtamzVwp2ppcmOme3erQF7T+xAvswEdiWbiSWLW7Hf4wtO9BJg3VNz83qoPlOT65hJmRbRGIIrfg8dszXvztxrWQD+w3HsET3SzcmZrm5OC2vM9xlD14bQaSlxptlZBM2aricSWt9Dqtwxne22mYBi0wH5aAcgXqapmg3embRLOqVtimDnueQZhZBRn/9x57RKjx7kWzYHA2XoxMJVoeJ/xer/h7wnjvpV/FP5jcHW7teFEGqN+6nH7Rfi63AEKO7tbzv1qQtAJxc//V8g7pGwW/sc4GcgwWqhWYhyaa4cZRjaMWqS2TlCJ4Lx5gO7s9XZy+jb297tY6U3uohluXVMmqCDxQXzRnragqLY0d0BAG8ASLRuQL3Vk5fx+YCA79xRyGcjXSsXalQPk+70LMMrApiVtgv6BEU+Kq7vq7uBjTuHkchUVphMyh7M8xgD8f/Pc/c8ZRLYMc8IaginTA31jRchirAsx15zcKwmSJoMb2aT+N4emBbSBEBVf2dlOr8AmdVURjkWPf7kXpWdEFDrelptxzxsV99HGm9OK5NbKH23bKdW7DCq26hWvNmS+cvwT5+pJnqlfL4WHkdvXV2NMaQmRB5DURdqNPA5zBlYaHgMwzqQFCmQlbcuWWcEKt9cUBxgyktO27PSeVWurciDKwJFjnQpyrEO+YRAHOkW4BXur34MCmQSEkOdG0vNyR5+TO34Rw9fTHSI6lTODKzybNKo/P/H5giFeqO43cmcIWtywT5FgRLJFSmLjyVoOHHY10m3Xt1mGWzhXB+9L1POyHPKktOwYHI6n5A51ZWzgTFqIAZeolEqYwpzeAzoETm8cYs5SkIJUwhMzjK9aSjuJOiDL1wgPoCY3OYb/XFVR3Srf3kdekL2ZliG9ibA8pAPAKlSKzB3RO3QEtBXgbvGmUh35Ipk9l4F16p2lSy2lo43RZGstzWg9scc5B3YLqvdpoieofOZ1GXK01eFGuDGgG5r4rbgno4frXDYD5bDrJH40KNnKRpXlsvtybOUmXxliKmRTpDCemO15ko6YuOuYKvx8lZlanSTR1R52JyHbYbquG417InoQf8AtZTKXFPeoTaBbJt8zATKquxOJrd5DmrbggeSV8aN/bs14YjnWdao7fuPTK+Fx9eEKKTL0hMkNL5pdjVXBs5ycVIZAu3fFdGy2VjiwB1jmtVF0Dtr0mCaEUbXKESJTNCqkzmF3lauatwwJFkEeubLONbZM8mVBxfXQUMF41gIZmOAAYtfvNZluPyn70PNQyGnEui9Y+ULtgJnx+KJSZVbx1gXeekVsrKDGFZ07tmLz/rxCnHCUgha2/OcQ5bDxJNeUswkIohVrImM6mOFOem9KicVqw+us/MEtj3LKiEZK4BEPd0Gz8EuNvUyoG0PiUpikwzYVnLU5SocahI7of0uNrtufMTO3gRfo0WoxuAeowX95FAmR3NhaB/jV+HOv0RpLQHSySKOtEtvdkh8zIbZrNktwf6ci1Qx+7rO+WEWhVMGiniAczWU4NhHBe7qYwPYsPO+VOG9I26MPneuZxNcWlS1ewUjatSLvnrUjFBHH1y1GcyrI768ZFEkD9TPvs8rDXwDexB/SsJJ2axkxUddYP3LOeQ1Pj2jIVOXve2IL0Zupg3wMQfmzVnou3I8DfapDbMqOmdcoMiDfVgOnUdoyeUS4a8akO6H0/A7HbWeac2Y3Q0odDqhplG1uwgyuJ8o5GkbWmVtG8Df9NgCYmhPlYNLXEshfdT0uHhgRhcOk6i2Pfrt0XSUSw2JZOIn0/7DPwYPsBZ1oUvKIYKs979n3AdK1zcsZm1Qm+2GsSIQkAV6JR/x4YCVuKbs60aJmHE7lIKYvls9ZlNgWpSOCQdyErDxJVXRrHnKnAcn4ZKQp8ogY2RY9n76wry92vGIjNNggBahJ+ulY1MI7xNpAsYJTxS1D3Qri07O/l/Zayj80MhO9NB8O27Qij8kyUZLa6fgVHra/RHYDZLBwYkH4pcCDGcKBfenaQxM7e4VYSnVBFhkTDGjyetzLqnO7SnRF6F7dMO8NtaQUD6j6c/Bq0OaoHraW4p2tG+1yHUP6PYfbNN34h0y2LzQtpI7GekJYuNP0LRSgGDW77UUwjhncsRkd95IkHnn3ilG5YhFRBVlJ74mtwyOKaBGwijZD0zPJWcjpazbGsvRoMKeo6OT/YBRM/kg45a2PdUkik7dPuOBp6IV+HVemjbAvik+FfkqPlQRuxxm9oKZ4KPCAynZLCBT6ds+VyKlX+Eub/9//8z1t0Zv7qXFzv+t3FC2DMOIt9EQVEJlLbU+ssFM2qORw2kAB5sh9VeKGrsXwZ36yv8/WcpapYpwyQ4yjnMz7AHwlzBZ7HqP/KOkkZ4aLrtg1e+8R0SColKK4sS/X02QxZ3iOxkCd2NdHjJTLsBGTgp90N8fCu7YMNDMbr9F7wLMwnfxFxLPreXLQSGRO3TYqcT+FEaeX634wpfnujzM90smgtu7ODF0BXwGbWCSHzO4hBJhRk87PsoYTxzcxobwpKmUEK096KYnEVBJ3tnZfLIvxoyFhgiAN4hDn6KoLilDuaHXcrWIlDeuCYI9PKIeyQO2giJceb4k2XQsCRpetr38sbp7YL68xHGeG3Eel9rk+rndAPS8XtCc+nhw0cZzDBHcVFowc8Wf8lyJ6Q/mX8MCAGuoUZSKzn6mOMOpSy7YKlXFuX5v00tQM303VhNtBTUCKxEbIdtWdBgAXFWI7LYZ/RSL5MfzY8+NXES1mo01syziLwAmm361kkwNdxw8aHlKMNBD0XKA2wLG+4AcbF7WSbOkOQJea5XIi3AiK2RVLh5SoPeyzKwtC+xGjudHkUdnzZsefJFeaMdLOoMRkuL07vNPeMdYU5YnzUJy4/gDV/OekidGR3VHFt2Xm13hzbLMzbKTPWN0/mtsXSLw/Z4XWT+gbhnZrI9+fsT15TiVwrA+PsEEjA6hFg2bD+TeU3tLP4TlOLUeywWc0+WwnuBzaFmOkEZmhPXfUoLVmwWLM1bN/0lmtQ+5wVPL9UE0p9oWorBZSyKQRGi7UEptZH+xULNplLrnK57XTZO4PA0JL5i0hLrPwwQrf3zLplJkjX0btTHFiaKEX6yf/iEv4mRmFBwoY2w/QBVf5ViqdZLmWfiUbAbC8W5/gaFOZA1+fM3QfECEzyw3PS0qnsUaETyMvH5ch+3xSSMRxtw2rKuYEazyoVCgTjKICzEOnPx//tD/9MvTL5EoVdZTvbdR2jaxFXUqO4VblSBbbxtJmt4LT/xXQr8VfOTpthFEWAXGvNltKT9TDphA5wc4kl7KQySsrGzTsb3lRpFQg2fGjKHqcCvBxaUneFp4yi0Q3Tnut9E+2SV0eiy8zqklEjZ1Rc2te/mZbs2+eBLishia3jdPp/9hS9oicP3mwvhndwwmdxW5n46zcxXdaMEnErcw67kg073p+f2tuG1Q7mN7o0hizauTz5TYGEAHl96c+NMzvnysu9PIIVqbOAKV7ufVqR5aXBE8uotD8Fjza+s4Wlys6Gn520SL0jnmyQGJfM284esenbNan7kH6uSatpKAeEwh4B3dMH2j4BMwlLf3HY5DHUhU7563AoC2Mje+nJ4K/gnyblCo4mvaQwgNc+2yLJO1GiGG9+dexJ5+V1ChhF6CH+x3/8j7YgNysgQHWPoLMLUa85GbCECmQK7R7i6RxTc1a+QxoHq+/qKdrn2Nt+SEe0oPglsA3clrTMp1kcsMiheaZKpHZNgifyJvbZq6oLjPuYo1ypRMGIgDFbnrhh/v5NkUSPgUaV6YwIAL3i0W1azZwdl5uh0tHMg2k5gzwESfima5GZMRPZZjvXnMNFb6NUw9/MHXOkBVB5qzDMgpRxVmgBeWskoXgsqPgkfAPtTQp+eZ042byUV3MOazuehXJxqwbfq1bxJiL2KfNYu6gMvoIbwzfzNanUMsJFJWlaZ3cF2YKnxY2GH/OW9a4OY390zkIZ2C8vcOVrXAUrFYR2Vq4TMmvuGK5QNjdhI4HDccvpx02DH+4EltMXsK0T5QrTfWMH5R38G0hIb9mGH8qOse0E500R3bcns4nOdTdrPc2+6fyJ+m3kBsJhF3I0V38F0SUNykriBoYMJj2UNsjT554dN2VyQFrnznh1eLqKlXJ8egLZctwFIO1vzeLHUCl0Z0UaOZtNMFnpWIzIv0ceNyV4YW+kQCnZzRRx6Zi1vQpmnwyaHxbivsBhaEzzgNqOTXSLHEXOGVu/lbW8Ue0e+t7iKK7CE5WJDNEYq4e3cSBDlj5RAqlObHZLKAPT8Uk6vEfPzA8272NN9zkcZZFBSPV9Un5F7hZ66B1vRbVIQe2fBMMlfzcNtwgmaBVbpDTcddRbCBYXmsSVFrAtfG4UuJNNlzHFDLKMyP60u+MoLRYLA+EA67CXD3OCRDah8IWrw5wziRzhgpPFmqqTL+DLCoBIWD4IJ4RkttjubJtyQCXg5bjDByts7FPJ67h0mKBs5BjRuENegDgdgt/O1Zbf+Yq1i1gOAlsvpKJvfbkJc6saVBO15XPecW6BrHMCA4qc05PCjtyg2s38GibTzRYzXqKSjPJ/c8criPdMeYv1Nr7xBQkPeQYAP+P/9g//jGcw61XrEPvYx6WFIoYBEVeeLbjVo9jmxdXlOf6KTOhpDcKSXWsXDLKm7V8qVuZBOD1SK+BjSqgry0umFhUwopSfL0NVKpl+DRc5+NSIBUsObI8sz5Yji7ibyzw6qOVIYPPPcIugV90bjLsDQI1SxCflbOlGMKOAU+CdP8f+gWg861+gmSKdxT2EB7y+5Kd3Z/KMPLS/5bjrFI9iq0DLriVygVCvQhpiXsAVTuXp3XvoW6X96gOFuRsVU6ZjjHTBhhQIDXB52J/n6xM+8QWYrG/OPEjGawWwVd2Ymo3N+cQij3cMOZteUxMfA2HRP4DG+PfgpJEl6qQpxiPuTD9OzPPD0ibRNbXFy3bZHbakmQudDkKndzONbSBn5K5hLSLgxlVgMLeIwQ3sTZnpUZ3wjuQoixc3aSc8dhbOhuam/4iTwzvBf+54MTcaeZfTjnokM96oTaCl3xIMUCem5tZ6fXTSqicE3PVDXrGEoXgnNhUl6DZBAcefhM6LKJq9zC/Sa+4/aIlMk5g4JzHxJOiwZEfgxmxvFplVfC7OF7noJdf6p3rtkebPT6bdhxXZP4EaYT0uON8FrEtRcCVqLVdkRDB8W4atMOPhdbt2NpiuP19rk0RMoGKO07iaO5mfmZn2iT9D5b1mJqZt3JxXhbLCY/RccjIU6rhmS2UP6MSbxZVCzW4KXDJaiCnp54oL8DyE8osmDwFVHqHLy7GwRIscW0rBfLM26Z6mez1GjJVSFQZ/91x2VJogRA+uwKwg64kLiFUa+XLM4dAQx2RSDiIyyvcwMJw4MxcwjZNGZzfsgfBwQi2B1bUmQ4enmHWSSrUmYsun9Av6kNoYy24Z5iKjiyaGp/LDXKVSE2kUbe9gDxZ2zLtZdjaZuv2rfrpdf/52V7Q2WyAWuRmJDVWgA4FdBog9/GXxAqr+QibACUeGbRnLsrXIN/1RKq1Wl2G169DVHIUKshDfTEYPBO/OaeyA/CIZOwz/JoqXaxcP958Hy5cJagWFkty0537fdESUc7mKOTJDw3lXIjtD7cLCi0a9ZtHEGvW5eBwFW0F8UFHRQCufJTX7N2yQawk8bRa2UgKjbgvvEf4gMda9Pv1hTd69/tuXNdA9LtFxthjdQJdOjFohbOm6uMC747IfZ7psNCbNYGxgpqfz/HA74LCfZYSCUlqe5drcNuaGrrHyu7DrDM9+BrcizkloSThzlpT4a6Q9B8bTZEHeWI7n+7D8BtZegIlLQ6tr2932Qn5oC2Bjp2B62rGmLux7pJRhgrzlWKOwcWZ7w4zqzK8Qrswx/43OKaTDCwJDHO60ZHBkehu2odkvZmeuVDsg8JjCykBzXpZvXteQBJvy0epS06xcbXe5CmHmphcIdZY1EC2Cls5EipuXZ3LKQ/UQPj1FK1rNIUYdEuUkyQCAHkGjZIoyGLnGiYNkyCHSvqQRC5vkEV93X2BKQqSu1FzhSxu+yGgvvjlXGs98gYsj8/vFVYw36Gi7LqTVrt20JOaJkow1dPVfAQot+JBJlhY+TEeMEHHBnLseuZn5ZI3KnAALxAqKPSsEp8gWWw2EgUt+uUpKKsRJDB7ah02ahRu0MMZ20RBv7pyhfupUwNhq0mP1OCvO8tl5dYtGpucgTyXi4AqSXubKXHjQKjy6nC9SLVxhdGl9dJu7BV37Xx9/j+3v9Vf4tyMuuOK/1jW+iEETwI9MXV7gS17zq/lXtmMjOv/X/F5+L+wjjARp7Lmkpm1BC7LvlP6POCewbS4c8aoeyT0mxQm5zaii48Nwy/o4UzDw3eKmMUNLkfFfNuCgMtLWYVOaC8im8VZ7NonDWVgd245hRo9nZphnnduArCSQw5a4J6mkGYExjsU0o2nOzvG+LYCd30eEZkl4maqfnF/8AtyPpcTAUXrEmtipoEtf4QajEyOIsS5b4Vi+j8ko+oPrUhyfU+hEIDauhtc6EusARneHeeDvbDmAha/58H/n+/6X0VcziG9Ywoubk34Jgzuc1DKlD4ZZaNvUkDeQO2bnx3a+y0AnM/JxYcjX0CzksH2q3euxwoC+McsqL4+neh0OvRmYRXPZwRHhoG5KGieM76bfwram5VnE1z5BRD0rzv3wHLDaQwGt+085glawg/YRGSVmmKBV8qCbu6wFylHa7wRXno7RNocxT8ZoRAAS4flnYPjuvE8KGCcQpRJ+qwu8kuzteTRrpx4PDYcBqa4YVGv391aRnFOwxaz1JSaCFNZnB/0seXZ7GJNJYUzg8RYKrO9wS2ODRudGJkU2F7Vg6ac+nh6izKMmyC+nNXsz0TIkDbLUbHRByr7v/cXriPW6D627KrVXSYIwPH4N1imXlXqhKaqwKR2EdMuF3n3SXePZp9urUwohx+7ZPfRODpce8fqvBLA+2iQAxx07qF9TsNUYATxQ71tF8QQ+Q/vmLx0wJH1Yswp98q36eUMG9en5P4eNVKyt21Nb7/eL4UoRaEqqVow9I3G2S3QCZoyJCUKScFwRImbmS+5AYPPs06iQJfaFDKTUAt1fmzEtvGkB5wbJHNSc5dmKffYS5buqIo82YThyPzq7LCVrhxstEzylVan82ANkoar4meNorGoxk7yRerOWGHYd2hqtedJDBrpxtJRLukxTHdb4TlgTr2DeER+n9xiIxrgs88x1j0l+rzKCSN/Oou2F4Z7L8J9e/A8sYW1ZwjWxJ21Fudgkxf7pfKo9ZOphCcHWq2FH2CxyJx5qemNnjQSa0PfR5cWFlnz1WBWeCepsLZ8A7khDhN1A17kHP9H3cIc2Y5IdZHza/syIdRsNWR+c13dm5lmmXZPknPGcZoQ3/RdAlEtFbARaCroTE1s+wKY08vWVCXhuB8TKPyiG+uh6IVyKkx0Uk9gnSjGydaaFhTXvVY+wZMXIKDHkvUs6M2EutWeSJ2CWkzFuNICmOchm6qqGVBOSmdCopwwq+hrEyXSuu2BWpRiiq6/yjyBfFoq8VKtB3YCVvQGNHjLjylHRF0H1sKmPm686jGq7c3Yl7lKMBgrfv6sEg8wOXTKT3ywfGmm4zeTeVD/X/Be89DfQ/OvvHWn+NSRdXRkCr++95wIWvrxXAfS0eTVfZUj1rP/cWLhKevWNiZTmWlf49/IL/t9rX98L2V/5fnXj0CZf81/rAjJuwkzOBIW1+29ymrnLYMJ1woUN3MxfGFJr+SJntOuIYbopfigETt4+9FTmVv64p2hSYLmnsA7HJZpTHM47B9h1ar1R43OItght9DBV4lhowqvgOCbQ7OndKYA0xkaRfiIW2jM4wde9swos6d5Zd8SSYgJDPV2a/J0yitimp1FCQ6PUX1VBAUtoGKkpB9JVJ9HMmEOlCeNOew6IUYiBUjEuboFBjWsiyaW/aWM89nAGs1cMFd4lvLaw7xfe2okP8SZNFIJWDtNV7qkGwFTF2k9TrydbxCX7m7j9+6rWAulQCVNB2VkOKmGAdWQxqbugHr4pFbNKBM2D2p4N2oxtGsxnfwZ+EbsRUS0mV/aVODbF22ypNeuMUqtBmajJ6Y+mcwJS2KHbnIFHi6IS9KhzGajpATSOm2g2lOdpMQPxCoeSgwFPg9sSxppagsRJ5Qn/O0SYJLx857KOV1mOEDSXLrGybH3Te2gXuhlX1e0RPqW+EgexEHHV3TXnBNpFTwaPPD1MQo47WjoqhV3Ad3iT9O8vgzNcsr5TF9hKNm49OQMcY1SDonUrAdv76R0Z1m+g01gdWvVS1G3j9YrXcjZKH766vmIcb6XEYQjD43VMrQAJEX1G9bE6rTBRziOhrUwk7KbJfu7ZX1F9RBpsOe93UAhYS7Z+dO+aNE1RhJdSf6ANtSqRR/gUXhH9UQXpLY7+ahLkhldnl5/FssUZDXovk7ZGGwYcSVIA5asFM7zeoUGyRyccR/bw5om5rRVEA6g35x/b2YLhlK1nWQ40jw2zYARJfUsgoDaHAQfYh73Ud9UQbRiApofoeC2JVsDMOfNP5e5py0mw4wheWqlfADuygezcjLgyA4DxYd5XtWreRqBkui1R3CxiKFr9yG76eQuh3IInZ5T9sdF10R3QhoppE9zj8ZNoOa0hyp5wdnRGek8i75tb5kTkWmiX/nqPa3V638T3t4pmj6aJn0okusVcNJYbacvZdpYlsXRtKpKIR7TD3/QJPGw+c8dzuScn/WUsNUfkcYSsTqsh3yh6iDOMIs/EYJL2UZPGJV+WKixpFq3VhT0XnMDybQbmkagbfYH2IoJQuDsIOj+D2OmbvKTlbzwq6w2XXpYtXv21XvnSPr68ojSKrQlPZgu553bKc7XgJW3raxvyZGY1yGVSo/Lkhd0BIvjAzTpCnoNJYzncajhbo7JxIITToELeM6+xZKDWW2sqn5sYXm15hZQ4QLkbRCBx+u9msVqN4TPAni6rKhhXDHrCZx0mZ9dkMrEncokNPG+tc35FmCnjM0FACRbNd8AbgunFUWoNGz6+kyv5vRJ8M4uRhinGzMLeiTTkyt/s7pREfE15LnnZqux7cYGvkSLuSwhzrW8/AAH8e+9V/9g1v9IXvOK1pclgocVvhWCULPRiEZ0rEIAQApP8lJcl5jomns5zu4BASUo6h23d7vvkzVHLYEyuewe9ueYWZGb2wrE34J0UYCh2BXwzk0wEV2cmu9Lw4N+RP4jO8MnefKdW4+ecdCSh10cGwSe1TzMzsAj1T1ejWbuhWFzGNlBR1Up+5mrqVxVgZOCglcbrovXkPLaT3Tr0t9PZjDNsiYPnDonyyOF2oitV55Zdcv10YVK6j7jqmCbnP+m1MWtIRuxXUsV9KQpS3ERRtggiSPqwy/Ty5ELmFpNkAfY9iVzWv4fD6cbqbeUVjbmNlg1BbA59GSYt2yaXcp6hRxNRhXXNJWIu2ezYnR82zw43CDeqi6pJ6tZwNK/5nq8nK15jAZDl0qLrjpOFG9njlvS0IbHoGWVRJAvzi7uSmIm1adzKbmFIXtLtVsbNIWreKFeheMVCjhfIyjnvbXIBSSXtgTQvbuaZCzxDIzuNlloIeJoXaiPbIYX1/FvAEQImDylBIEA3fjls/RjJa0Km8kZi9YjD7CfuFw5VxwGb1BOTWf//gPRguVDquMApn//XZ8La5ZjnsONnZXFqnLkMD13eBj2BpW9TWjTak1F/NStXX7CWh5xJUR4EHJ64cClfjVtupCLy8LSwWYScG0bCGAwmmoL2QHZcNfVqqqCZIs19qwW/pebySWOehtOa8L6hi9Z8JZJj9JllRFOeDMDONoe9n59GGj25Ez/mZclC1UX4P0sCyThrBziRcFLGge4UQGeCf5u7QYQJj2023ZzOHwdaigjeBirNcqa5OKpKLN8/xgum8dVMy0ZBw4MMQ2XQAkndTUOYeZwRsEbgHaAYqpN9iUYJ5Klcd91V/1GhxM2Oz9WUeH9N/rIH6S1Cw4/Sei+PSCDCWe8RQ0FgM56RZAlmhdMajoHsdFLZjg74oELQIb6piN2i+NWwKxLv3PyJ/UBClU/u5nTIQhMSLKxCn6SiWG9w6bABxxcdkWXcHVZ7IHinAJYDDx7bsQsWA7c5gPZOzeJyKjcyPhsnzFC69873MRVWpIcfe596ddb/4/Wom05yhfurJZ/BFz4izuVNVYk+ENiDBilGrR4RDmt657FvuDQbGOEbgTc3Dl+jd9bqTo1r0KzMAJbtmcbQ5o2UbOlQTdtD/Z4WBukXeMxbO2U5sVPNoZLAJw/sA6gGAPIt14y5ifdEJaMZSh6kxXpxZm9SrGZs53GlFBN5OHI2DLaj3SUrxIykrScvyLnExzata34Qd+7VTTw16m7jy1NgUBZsH0uq3cZC/HxhkMYlT+N1gOdGMiaWJZsuwlrXyZcWVjuQVWuBYCTSQgEAdjcoeEvs1KKyt03Udlz3raeLifAkpnGJTLsKxlc+dEcTvK+4KsTYs5g3Oek733VXGePfuWOKBziOjY4KQLJ1ONrTOwbmAsffKw4GPF9rUo7iRd/EuHMIPrNVZX5xULFsNyLlVFG4ND2ntQnj1ZSiIK/dka0lwpC3tz7jPuZ+XfUN5nUHHGjbDTvIa3NwYf6v//h/ytQA8MxJwyw/AaXm+/QiEH6uKakvXWrx74lAvGRZ9rhNu46RPh6qrdHMLELiJAScdgBh25gDpfNmdATDRcfopa8KeAQeXLNeKEk6WHYFiOlHedSuPiuxiFyM0wdFDMYSBjInF4GU+bFvjAAmpez4RmTYf+jeFIXenlZNJk4y8knuIG3+e68xtnRzPdcb+4g8p/KY7C1LpM3t2hTThA34EsN6K1DU7LKThSGg74bazaAbApM8c7nTg0AH6/KWk1dmcMGPU1N6Xc+rNaThkBkb9R3F80DKU+Jjddt/5qGZkZ0YDBVKgR4yTQuCn4l/YVPbLZtlowIVB5dEkCnI+BoQ/MWGmNtG6NM9XNadCDjg1zglBVh/uFROqT9CqfcYZ5rXJ0dUvVcDidyMDlymJ1JOBOjEDxowO+C/tXde3emg8q47aBYXPDiBctM+LXgTG+eMiZMLJGBkbcNV4xoxud0rxGf6x3i+9lWZm7xxpcDpPZ3OUoPuVIHnRlmBrUARZ95lCxMIUvKG5pwwJoFnSUmjycgeGUzdyTCcYN4666f5PB2NaWUYFL42Ta7pUms35P43JtHGGpvMmtBzBnsk79YoXYYxhf8mahn6GP9US1Be7Qx9y9lQ8KdGzWFYmAYwm0Btn6FcZ4xcrNRQAfkliJUirSbxbMwtXlb15Z2Y2/eWciFXfTka5lRh21zBJR09EXBw7tzFxFmK4NkCCL9IsSVL6ttBU+fiUb0K+aFS/PhIEigrE4FDCCkRISHSjA7f1afMBLJqA1O2eDszGGaGjW2M7Xkw/xqXdd76J4MpXKkKmQUgv6HjmYCc2T7K3+Uq3AQ25YjyDi6Me3i02XZvZOtAlK51owW8hFU4itRgNHYfFN56gbA8ccNybAXa5nIoZPQ3IDUcQGYIeo/B2FI8e5d2L44jWw67lUxyfXacyYrZWQvIDU27YmRaS7Uialku3hhqZwDtz+GfwZ/PPeDnT3zNbx6/YHgyeI9MWSs7fqlr8Vt57c1lgHPUNTiMmoKka4W3ZFtONIwNHySsq/lNEnHdh9royBui4WZlLC9EjPjtIk4ucx25YCaL2cItcvbeh2eeWDjDQcxeylRh5+zfe7bx2XZx0J9/4efmxW/cJgCRJ/k2zi0OIO6FeGXfMAgmnZSmlW2K3YX1WOum1uDrt9cTVppok0XhHj08YYM5J87bmytBmQdLr9mpLHte3DyJCx+leWtd2BqIN4P75FeEv5hM+5SR1roXdozCPKfNq2yi/k8A2MCclggDumujXChoAD4Ypu2jGMCk5ZqcOlEfIm+wdlK/2oepzSzf4cEBNed4smbiQ/omKaSpTa5NTHTs+QKlJU/jyRgeZRDFFeygmIq17prGsqSt4ZG+wPiRVc53MDAZhN7A4CQqXGGjiHTTC1A52B8+GYbL0HE5XtLCYHsRJkc88VkGd3AXcA8HHEFiEoZKl7mkKZnGr5U7YKAbD1uchGE/LRiwspaU8wR5CjfzC76xYq2EcRvof5PTOdO33VtAOMjcg2e45qBAHI7HO6R90LyGJoMQFsnB20nHUzkY+C4wkY2d8shvfdUoqcEMnK2yhlvhhc9IpspzNhk46sxLEMIsFg8wTGspvPeS/s2qt+/UbG2ZUCCz63jJSrSjxEMojjbxMk8ySKydWVKAtO2xL/PetzWOamsxMQPIYwmvBiGVS0/T0vvprHRAADE8RVsYSytlzHoM6ELROChRIWwdG/2w70pFVfllcIAkYJpnPrOopuSFyhBiS9O0GnV7nfKFyx3nL8KbnAaAoxVkM9AMks2daKLIAvs7Zwk0T4VZqRR6N2DyREHjmd2nEMbUAI/bzGkGsBGzMZLyMbQy1s63MVNyQQhm/mMWQgA+szzf7QahpzdIbo0vbqAoyFzg7GsjiLMIh172KCi0zznHMjeJ55DWgKfoH0V0WqhVOX0nxpYgvUkGDmcanqlZPxGDLHjLrIOq1mBvZuNPLzJqc5DPutYGGQSNRrZo8gZXPiF1q+PQHQRT6Edg0BCoRYkAUZahQ40OPYABbu1rPYSv8RtgRK693xg2Uk1XU740Jmcf0awG0mAHpZV778ntTqadXR1I/03At6FwE8NQHg6tQTrSsEzn6tUMbsM0b3bz1daszsvlG/HNp64cNmbuZaj2Q2V0juBM5lOy0wqrJM8QddAdp74dLQywawWLtyWq7cfcquSjYU0ThtjJ+qIX6WubSi8WSxittGYLkt2JU50MZo7SYGQmlNuiDFgAlMI6VnQ5gAGYG9f63ZGIuG0Ws4y8x1zczalMkMsx5kLPrRBO92p7TwSyKBs4PdY56Sd/KwUJWt28jUolUe6+tcH4sNWakaZco8iifzMLytLfT1Z3UQIPNM4+1XQaBmTOowvA8+Mc40/80R19LVf8oMxexMxZKd+u5O83mnubTv88HQ7Pdd/cp817wzMrTH+kRP47KidWo5tnAeGWo+AmqUSnHPNRJmaYZn1Y2gmIzmwVOZAtKJOC4twZD/BByDwfYyYLYnrcmP8arWwiFwOB/CAPzDI6AbPtirD+tdNqH+VyI0FLXd+XPkfL8anEGdPXuZqaNwhRViN9MKs1eHtDIYZH13bNTuiHSIRrX/80Cm6eNGzpYiTfr/31Fe9F3rC+I+N7E5l1AVv6vkH9dA+YbT8A9fW9gam2ydxanbbBFEGFJEi3caeMSJ4OfSMG63sKefu1TNyry2h4dC+v9e0AwP0a9+prfw3hBG1I998v/384BnhtUzfQ21/oi2xSY0XxysR43kdHqiWmCL6OSKLoZPtIQJo2HZLy8EObOm1ENd6rLp/YqjfgAmEgwTneWZ/sVgp1NRj+r//4f8lzgifRsn4AhV6aBeOTEzegfDO/ubxiIrNvJpU70DHRPOwVKnhp1dxg6kVToeq2+Mw/BRMl4ukEQ03UKZziHu+a/uCcrElMzzIZInWtAVstQBRhz9EDLInwmWaLWjt/K+KHfHCh7RjU52WDJr3actG+keYnJTHGY8vVs7KhUUt3Karwf3usefsy75lh7u1kaUpS5cK6nbreQKYZWEmW4ZgQMTiM4RFvtRguKkb6zbGryzdkmdttL+VOp1W7cnx6e6C94MttwjsCuwRZX1w2Tns1SrgWD/mNEu4EGBDM9sYlu7Z/3gP85jWSdIqMQPN2ADBVlks3Nid4vvre1D0ydNqEYaT7YwGnNmA2xl0bw/rmlSNLb3EryQFJ3KKHTQ5N92ziaH3Vx1McWq1BdwbQ2DFGhCtMS2qMyDBaAxk+wxsJzR7uQAeAEObMe7p9m8F1BLxqgWmLgSRu1IsPqKRcWCz4kgb8fk/1Tq2FN/1HbpuOBhc8kHWlLjFsVMoESTjcQjXBrFPHs56CaPGb7T/1ju0rrs+PifGsfziNu62XFrrptitTJEA8ktEnj6D3yIBYPD1/Ma+Byr6thDZKYUP4ZmuEJ0vixsasPczFtn3lKOKuWrn/lVMRQra4bsg20kvk7odlp10uO5aRlxOVXeIfSzWkKpHW2ajjFMXkLXvyARJ+2So6Ma2nqqky6tb2jNsIKaFwd+NeIevYjo1v8RTa6N6afJV32ZOHGDynnp92aVPMs1M5LOfe49jnlNA8mcaNiAF+eFTo8pDydcvbT4X/KQd5VqdQmIJ9U3h1frjMajT4F2OcV5OP0gQTvQEOeTvwFTJ90R2x10N+HkVNtt2089MMT7i6obPbvW97mzAy3dGqdmoHK395LPRWcGnlvRgaWhlDRCibTpCH/N4d6cb2DLAOlMl+M9adTq/8AmT/wR0PhPkj+Mz4vx7++eCfc+ecJabU3uBec9waIapLgLXTqrs610Zph2hhEELqbSZfnw6uYegkmFw5HvFegtzLg+PmrnSSL93zL6JgkRmwA453+0MWcbi8hDUeQRxXKZC6KB9rNlWbMUChcQaXnuCKbVO1hh7qvhDtQRh/lzsqMzN9jbUtIcMtrAI6Nivl3bAecfnO1Phkyl5A4BmT01KhA452I4xjg+DE8iswqjo+Yu60hQIz+Ie4xq5GyfrDAY55I6f8llOBvzaP5napo3gDmz62R0qLHUVzmVrLd0gRljGy9vs7XkKNJ22k3o76tdkhrgCnJ+Vtp76OZJAFYijuRZ4o7r2TXTQnnYcoIP5A9zM2ToJ5qumkORrG5xMaFnUsUR0w3a3XEYM6i2FoxxU0Qq12acO65Nttyq3ycQAfcKwb/MmJ882gLcs06CcIzsZcz2dA4qo8eoSZpoNQO8fo2V3QJXrVmMXOXXHRSxaH+OIuUAhZEZ/IsASpLR/HGJloDjAKDwmsaWVZIi6vEeOkNhByJjzFNvI65LTa2LudiVLAt7ZjLaCTesJq50gbeWA8RojpMXDT9s0m1m5DKqhrHFIugsBWulPqP3k0vSMbu/H5feCcQ86Gvo3O0AEYm2SmIEuO8VZ+AObM4SHgJ9LNlRc6IYw1Ak3oetldES8VLqplDrOC0IxvhtGU2zL+nBkMDnKXaGdglxx1jt9wPRhthvzhPq1QSDEXaH8nQTR9ixZiQQXdS2ZH7z91AMubTTDQj6phzuS1882q9mZroMxHmx0t3oeEL2MtUYTTEhwVjtrAqYOhlJ5tNuZmoXFPUci5mfbaBvn/42XrAojCN+eJTlkeVnaZosx9/jiioW5tqQyjbwFL+pjYqBp6dEjib11FbZXINNBUsE/wVNddBN6CLnoC+QptzebnB3gzUCRf6Is3WR8kRUvO5WLNskzfzr78Rc66i14Ld6LUNHiipz1YldmAP9gd4r8NCixC4vHhj+QNs4+Q5l0O+PAnTjzrtMK7bppMMhguFk1QrxlQ6BW3y98RxdlPU3qzrCBTPXnJixzJ1PdUbNzKxpWBQ9Buz29wHWcYuVvz8ZyQaMF4Ad97EdL0EJTRR/Gm71KzxbaG1/tUD9In+3vi0XarPGIdf4Mf8oXUk1t41DdRUhaD7aidDahpCWfsch7nM6iLGnoeI1Ft/xv2jz+oCDn/Os4WnDoaA0PMUDkyXMYV2wcLOMAyIWZb653lypMmCM3bdzqVn+JioP6x97AflxAF2bhb0tgCaz5YyvhXBqa2zsbb0uRUBiLqqNFBoJn566/ncuJMP+Nyf7ZxbhKV8mby7fNAIXT38uxDzvfYEpuN4lGmNKdWnJ0+rapmb6VGxkEqw4o0sqzgBDumutgGQKxtqtiLhGcIWB3IBaTYooyG7aBTEcBet+HZa9h+NW++ZRrvUisfCT7f63RLfItqZJ2XGDckiSOkHSyfgAkS84WAK12C9L3BeulVGdZUspqS9oBv/WR6iKz5SHHmRCygyosGE7ErUgdN1Ti91yZnELliei0+xHzAmIccMbZLY2OmQcmfwznriVCJ0TmTxTgGMAezi/cIntPDmX1EQyXkb76KOQLiEceMIlJhqunT2wlIGgf431uSgNeQcTP++2SPdhbpeJNOrvRX/FbfYXknQ0BYEjX8AjYk60sNda8u78X3y38vgqLuPVdzf4THIU8wh+dkZzdKYgS25uOfFjiIXX+6Mffahi4644RJhyFhgmVUOrQiribc3A2t3YCWhsUYEJ2BURD/Yvyv08igKN0rX/sSX8DkV/retB/mq7WxWA64BgKsURNgZdY0d3yWoDPU1l7MQyEgYwIwYj9kfxsLQSf6GEiDmYAPLgjik0XEvqd9u51myXPLSmkQ/FTsiOANMuV+aG8ZJ8Po5ECRKCeT6/HF5u7YQFwql2BhixtPLdnQqXVrhvfaMyvMq56+7P+y8rB4sevbUWmrvYQZCd0y05rOX1UZydTObRhggh4S/EAeGtbtpuMWzzVyflm7163f0g0P+S5ihopSmAyvfJYiSv2eUQarkoGXqGucUN5eKzdIwshTqkFm+Ncc4sa6hDFXMczj5Pkky2XwM63VpkC/RusKzV/UJKUpiM6QdP7w7kFjInEWUI5Xq5KgrP7xJCBFnpR10LC98yuSThVpiQmMwMjApD9wrjNqXMwQmJCo3LqDzUI3z9DJuxGT6JelqxanzU88j80vTkkRXmtw4HtAUeng8wyki9lqBrRkztSTP+q63woqXYGPD+ZKzsNrIgwqjoi0f1IQV24OQOZp7Zh+sQVD16ftXQCgfkaynmzr8hLVucb7Jz0+DhKxz2g7bclr2L5IoiAM8+QAzCvSgCDkSC0HuALGh4Nu5377o1IFGgd8S424IDqfUms52sbEmlAq4a01z82YTwVoRWYzYacC3DsssH4koTBa+8/7WwEbAJYWbOjp3GTyVhLucm+5ywOAJQnOe5rxeHTJz/3Orf077yLn6eFVD6lbo2sCiPRb2/ZbRWtpwAB1FtG0HEFp49qtkLQ1euYpCWVcqardcSlOiFzsetUCgdArhbJjlx1iM+1i+QwK5mMcdNtBOkYpm+MrX1uHjtxYztpkDH2JI6+cAktDvCsre6zYPHVkPp2bkoMAugwbkCe8aQsHC+kiLzfJ1dk0Ni0LU3bczefomXdtLwhnGD4hdmZlHwWJxC4uhfJpIzPvTpQOim3tUFoQnf428zXTFgp5EdKS6XjVGXWbp7ln+VgA8ZUHGTxxzK7tm+w3dgdxFq0gLdIpi9Leo0Hy0qc0cjh1lNHvxDJqmMpFQAWVREnG8PFctLV3qjCpdyECl8qnMq9ksW6RIqtYi7zffz4EvPNahDWZA4/UhpHgwuoF+KJ4z9XC8Gu/OacXanINvpgRJc/g2+54CWmSoUkRaalROiXxgjr93z1yaC/4ENkQF4SuhrWU6FKefcWNmWGNXg7VfZe1+SCUak5ySwrgwLdLZ0Weya8bRRZQztcd+cRTCYRWSjcLJ0caaSGddr87o4Ztrt5QgnEWXiInKkPHSmvO8O6CATMT+0D6qdw0WO4+1XrK3OAegwfz5TaCfJEtYBdZvkXcgu2Aa5qi7k0iGoG8/VS2E2djToSlTCyBvhXMF53vvl/rZm4noS7ER5nx5YZDi2YYYXYzDsMLwOwuOgCeC21D7BrwzkQo/RGNAhc6pSt7yPnS5xrZoYYJN3wvM9V0D0cj2NmzNnOrt9C5E7o0oyLyZNxnIQ+x5grhznGS4dY2zclqfLkJedbTkRMQRAdvLJ/AOh+2yZNz4m+nzMj/z//6Hxsyy2TBmSRHxbHBlonLnbEjAY1ivomUm7whH/IS2wjLRl6lycW2Z8yIpnwbITNsm05EH3ymXtsJJo/9zbSPJ4OD5bbe+WB0GMmdvXqdiqf+2rmYVlsRer6m/Z5nKaayafUodYqbrA3U21FZCg2C04wiyLOWMrnO8UyLoh41va4JD6Rr8Hv9vfx6nQvFOR4MZ61pdoSwMCti7e2SrCtD5tChOoRWB9QWtgOpm+93YJxLV/ZyAO0ntfxpm76Ik4nvFIiILbjRqZdZ+zMqKyC38w0MeIM7RI1OubaxLxHfAq9iLK2T3cCbeqKxmE0CvQSzLPTo1YZyXGnym6XLq/nXj6mk/dIaSlrMxLt2nOimBkxNbhyb2b0dq+msdnodpwNhe8Fww5aFu2rQbKGdhtjJIwR7tVp5bK23RflfzaiSuL3gr/jgmY3y5PtrG9xwMTPCbWOwXziVLPzuBUpSVqg9hai0cegv0R1HrVxa5PqXFIAtM5skDN62Urhs+H8WPa0dQTqWxXAijocHWdmWPBSuTsshB4zESqi1EIwsRK3SColdoRbGzanYf7El1FDGZ7u0e8qwg0HF2q7c0SZkH+7MWSucgLnyNNpM1AmbTv9VHEQng7ERKBqoVv1JjwvbO6mbAqAjgk2H9DoQbbXUXIz9qT1ROYIwbczZbmCCK1eqiW7BYMn7fneqQ5vubiW8sr9sDmGv1fYTP4VpaK0KkOatyykj8XBTw19TvT2wfZfLmTeC6KdreeIyGqJgnKlp4HBg3NHB0h2uBCYommN5hncP3nupPU3J+g5mxNoV7VbUPeIkg3nPSp368vbbuA84X4SQOpvnmz4tV5iFx+Yklz0lRP7yydim2tUhMsWZyJ8jEJWAiw1G0Jw4e2AT2iDWeAKPr+ezM9opM2affuugsju9ek2o8f+R2t0oDN+bHLHDxzVDJfkP7+e/zH8hzpjg+XNyoiEHYd2wBPdcFsAKvl2sGewDoavcWpi1JumMX56ROJR4+pmcUnaIODR01r/xE49bQjUahsFj4YSjCOQhEkW2PysOd4XbpU97q6HEXWyOMPGEVZ+f055CNjShM71dc6uDyBiTIHdCWmFIBWUatdkS+/3YFs+dLKxHUoldLFOcexrl6OUvrdU9JhwsUMvI7kWqY6xuElu2WOZ5LNaGKTo9Gy4FasGSRxaoEyF/mq7Z4wFnOqDnLSWKoRHP6Nvgsam9gTjn37R92EXpW8/kP8rTl8Hk1c3KpyG+fMKv/AGeRXrcCO9LZRFZjzXFOzoaYzcPoQKjotkkrAPfPkN/yMt4uSKkXSpIHsC4h1nlHIg1ljIrP0P5gkN/MecYigkRQ5FHMGt6UuC/NIBNOtC4rjhhVrXDznOjIji0eWJEWCEtugKIBjJ70BkWb0e/XJO69ICAt4GcKr4rdZ3MXNq/0jWv8iDkYr8KyNM7myyYZ2t50hRVfGiULaxu1Zh3NE0Jbd2AnPtowc1+bB1ZZcwShItl6SLF/eCdoMGYnULGoz9bQFqP92C+9S7VRZofESv+dXzCMqoGmqR40ZZ++aimRQPptqVK2WxryodRFrKv+TB2cLdMIVyQWU3kN/RWVdwwORlltpGNB7lM5a5wcV3uLXKFLeaSkYKJZnCO/gYR/VcglVI3PFGIydvvx838XvyYZzqL0iyzrZv1GdHNH0tmp9OHgPnJUYncN/xP5rzyXnP9A2F5LV8Zo4Y5OL1l0x7xgDhBSY6Kh21norlujE6S02A62zSmcz2rJCsfZsSbRbhV0+C2tzdOb7ygYcVPEWuoKoqZXTmfkBcETz3itjGsWbzINHuF87aykoBwyv7W30y+941CJjx/fuycqD9yLpnKSr6BCcVXsajYcbYctsK+Qu8iih3v7Mn5qwUTFJp6uV5qGT9Fj34HxIQ2KMES9T1rJxFKHviv2VWAPq1/ShnNbxAjhaT56I0OxHLL5EhyrOpVWoHwJt2clPqZ89mLFgIwm39akrpyhaDdy1JXYRrKBnIiBa9sDwUai6u9NRKzEC0JeKBx59pzk7SycPyOu7kwplcipWXrueCDx632UfQScYaRa2zBTCvbFqkU0BHtBBoqgquIKzQbsvI5xK70xWtQ+Cm4YkHgFd+Fez0Ovt1Rbqjq//sqn6Er9nnp3FuqJq+6qhXURSHLPGIjuCq26rx6DfJPI9PoqDaCOfIhwYxg5wUpBT5eBwmeq7VX8ebJZJoUqL58ZQk6I0JQuy4qWWQL7AxUCr45DGG/XYaAgdL+VZ/+3s5nR6W55UF/dL6YDyMROEnrB/pFSCJfkWKcx2KdmGFnM+4JZOF+ai8WZk2PKbk+0b2j1nOkMjyPClBRCeTvJe8X/zd6HI+v4Gvr4iZBEkf4ZCg5ckgG9VcX1ksNCTevnuNUdhebMuumy/F1zBuA8ZwMcteFK49ShYnO4cfclH8zY59zTXoy2N3A+yEOMINzZso03ZR/cR8keWbm+EN94A8S3DFUotYwODA6+oPPIwHxmYwO5+oEkvng4MwSbKF8ZKCfgwhrSHrmgD+9QEWkcwY+0+3IHRtzyQVPQiuA8VGQm02nybD9uhRKef8ozwhG5glG4qkFmjYzi/21IEgQzxX//VLXypqsLEYnLokT39BUedG6A9xWrGnlBKiSVTIK55kpEcZsD1/5Je8QY312JPoc/xkO737r7AvZBImL7n0tyX8yPG1wkkGHB+i5IUwFIqbrp2wS8733WibvAjuIV/oK4oifxKt7L3QkX+sCvpIF8wsJut9r02m6dc9wOP/6blwYPHrkWmChEXmSvxGImgAyPApGMJl4OKQu6KtL5c3VP3oHMZxk7Ik+aVrwYxPVvKXSuOXFQ1ckWjyeXF6lxuYPkMPBnOvIkdTGFlDTmcSWWANwUc00HfXc064yv3yviewnoDs2FkYrJjh2xr/RRSFBxDOTeFLUitD0Syfs0w7Fp0wqLTlXnjJtkjSrXopwbCpSxrq/znmmOTbhqgJCH++fvHIyOLZ4kqT6v1m6Qe65jSmIP3RIiQgjKq8dXXRoacokhHBvJ8hyqpiUDDlZwuTqpaS6mJ8cBG4zoK94vGl4zPJgKe02aphIp8AZ0e5NcpkRp9Rvks8+k/iX1AFryyFsjcwT/pO5/+0xQJynbQJk3rZHv77CtXBDQWgNlwb1ehRPDMsw34UUXHb1mMyKMjrtZ4cnbLkiYJgRDldJgCIq1BZadOfHGaeivKaGnApIU1PXl6XPHtxc2gLt0quAciuzhQLFySZ2+CSbKolupkOTb6LAKVWT+jc/c3sHiEVCF7gWwYfPy+qiXQzXz53Ty7wNbH81/1WCqfSTe1hCb3d+EVuTBCraa48VQo1VARUGrqg0HMDyxTZuCLc1HQ4MTQuIRX35Czbk1uCOdYiC3nL+Oifaejj7HnoAxU15fV9GpqPA+n4kphxuIYRSc/uGis27bepO+2+sUC4URRF91lE2wxboL32Rg9DHbi+shoGbEIeS2miVtw08G8CUESVgSY6Phl+TiJ3zUuosGPxOxcOALU/iZYZhhm9ga0Ce3CsT9G42ZQ+Sn0GRUa937LdJW6nMXXqDneCfAlal47n86ntiqZOYbq2ZGWd0nw23rRoGjcXHzUwA7hakhkzFqonoD8SwLM94hrVmK7BRvJZyb/Kfy32Zh/GJL10TfgQAag2caxdwm+9zKtxhSTLSy9ukEAFlXWA5qVSh2Q7fkzmFbXYjhw1cbFProls0GpvtsgzkwxHDOIfl2mcANHc5ufE06rdKKd7g+htkTIXRAuCOkfXzWCX4+BiU5mv/X+Ff63st4d6xJ/qyfvq4NXyDPBT7bCvtreOEWgDkiU20txRdmsFV+Pfip1aYQ2yqbcg+LJ+eqMXARwcX0PiMP1sAnAl5XzUkPfOZAQ4/mdqL+HdS9hqcc2rDnBGQM6p1gYkTDDr4APB8jpPC46CHE//tVD03KORwSIZ/DW+zopZVxcfGbLuvrbd94Tfe3FPd8OZBiayw+p1UkEOUTHoT0bRNTHPURLeGFGFK850GwBfSlTAS9MUVDH6/aQVck5e4l9/r+w07G1yQHRT/6Y0l+4CcBA/MwJ84dDIlu4aJNuwahPY5c/1Stub1htqbbFI+vbReNmuamGdMnZPKOvdBU58E7qRfyZ0cpqYE5iWjjBiO1jXqmsbR1VfWF//K3+bViazQHGD8QfhJsCSO6mD1Wty514SsW3uJ2xeWx3WtuRwIOHmui/rKPUaN61mRxbTHKDIhLoGWI5Pg//s//ufaygy9Sk3rAjMYHUJtLJJ0F9GVA+VCmqD/Ee/W3aUU6gQ7PHHXdibvtjjPBxNUj+/07KMazDCqb6PRrGzCTSg0gGN/2ePePr2JiOuUxP2yc1J9eDpNp12m8tHG6UVFiYmhNxx7RrD/1m5ZBEwqIPkyoDli0pXflqPID9YpikhjQPTIusL3C8P/SruCavjBpPPF5KqmIf//qfq3X9/W5DoMG6NqrrXPpU+T3SSbFzhQJMWW5QBBAEFIIiMInBhBgDwlD/knA+QlQYAAAfIgWzCcCAlEwwpCx5FFUyTFe1/OOXut+dXIwxg11yEvzebpvdf6/eb8vqpRo0aNksmgWhT2IefgGGwonwOHstbOXKCiWfBL9OYuV1NctQVW1SEVWqsNAHA8qGQhD8PJ+Qx5f3K7mBKG7BrcLS5D5tmuSueB5d31jl6WTNTTMHStklQnS8qljz8+SUtbp4AY71oJYKzCOo9AhziAJpK32dEEo/ScBqTBl/9fYntuHDJTv4fAJFo9YCt1ADt+/HmGdKpMaIuaPd0bEwoqWZ7yUOarpPD3zBCRXy0ZimDHJJGpLXmcvRhByZJmqLD+8JIXV6LW8mPlcQLdbcaDmPKMzSo5tOZgzTMyt6BmVclwQsxquOjt/RCN3GZnQbICzi7KZpbLDGWt6CQe5KRHybrTEsHex+daLtuQR4xyDTI/CDyiyOZa2QSq+rEug/n0JbdyqScIcxUXCybFdigzQbnaaj+tRfHuUzK//ml4OT3FdoX5HFsXG4xnVpYfFxtjvZ9HRSKMALDycb+550vA+u9UClExlHhWq2R85Ntbnoa06KfcKbKXkh+DzRBOzM5dgxBA6VmcPVCdkkWFnRZswPCgGjo1nuLKZIgZhYn9ExE1HM17VWfCmcooRKqH1hwTCdGrKCdWLmX8Z+OqHFIFEGbUG6ma2+7Rc9iwpwSFOfsE8vz9l1XRCKX6Po/JkP3EPNngwBWaakRaJuUPmTdxcuH8KScI+6EcECIlD9/lQG15BXuVIxJgnxN6oDHapyCs7MRQ0esEuYnWFCpycZSFXMZzShfFD78QGlgfp1+pW70/mg7EEeP4bcoXs6i5THbPVU3otR3E5vKKGpTwBl2QYDXoWMZkz88EK1nKChztKCB4Aih8a6zi8dfxfIPI0vH2dGOYM3l4bgA1Jst9bToXCcP6jMTOBOMRIOF4I31BsWhZ1VoprjHKCE46pnYGbnbRIvysUukugB/7NT1FrzlKXDO0EbJQju5ke7qIc01WhNVmGQAeNHK/J9c0P225FHgfdegnhcj2TJmjpqiaOcU6oh3E/UUbPEFytkcaOUdHejDvZrwEqE6hZlto+YauY/1k5zgtpFROUw1RI9G4pkbDuGNV9cxJKHcHMhJLt3omImdt5KZ0L0HIZAprK10ArYVqzg6ADM1SsjgvphQlcXS7NecENRJ3gQw4UAcgA9JhNaXqwiHqAFU1LchKGeCFFHDVyI1W8uBusYsS1C5ifNCMHCwwrz3D5nWNCTKqp6wzI+hZ/V34lIXE0yyh2nOLeIY9UM0ZtZkUx5tRyMAMNXLmjKev0j3pw4ZqLYXlSmxLJK1lShhkj54vS+hygchGhoSYyUlwqeoTnFdRRIGdHLtMfcUfVZLVjgFFArw6DoL9lv3FInFvdLGlNtoOzH1qoGHEzsLTB+oKI8eRMNUz85EulFoTvhQ8dkhxm68LhVOOxZryVim/Q8qv304PSlEtecbBwuthHbr8Ns5muf2+TRnBRjIKBDT3M1z3NzVR4/wyRjN0XR2HS4q2yPY3svQy7wmBqACllRnDjXluXKkIsTKw4+NpLguhLH1bTdg4lE2BGDMwBet0vHjGWQsl0TbN6X4X7LCOgqKpmsHM3JZg2MeGmbQPst0Wr2AfY9eBOlODHegbr2POBIazM+LMkbk45mgxGMOPyouehoU6CC/rJ2h2DM8b4dN0DknDcgrWUzZMPug2EN2wkAG83abKWMhP3uQcESWvmVPmpxpXy24VI4Jla3LEw19P8ZjComzn0enV5e5vE1E7cOEq2VPnjzWIjOSThEL82v1O+08wBaVSsZaDZQk2f8CZZwZn2PbCspDVXOYI+FCkWA3F56+Rjq0apPcYRj9tNCOnkH3PNLKozM4jF9r3ITX9stCKBHBnT5xBJ+zAfgHIC/GQ08/KuLY6qH5xChEfF79J17fZxJCwW0RcQJBYbCZ0K5WFlSa0EXFTIkseDJHkvVcRiLkJpqwdIAgW2cUybxRG3mGcCdlljGfz4uRjxsmH6/+GR6O1o+a+Y5ZjGgvZm07ws81qQwb5+Ccs1jOb43rZNCH3DfGihl0Z7rQyJaUDaOJyEpBFgSb8Fyl6YxPIkxCZedCUV/E2kFQc7H5cLqSiH8wOYiiD+DnnmU6ENS0JF4Eks5WIMmWOCq7PqYU3PwmYOdxWGhCRlcesJm0EYHesu4Qx5H1Avxk1EJUOyaJA95LqmexNIuOA7o9qr5tl5kjP1RO9CLWef0WcJ+NrDGhZUNeEHyafRzO6T32+NaO3g6O5z3k/8zaSbMIMQZh+R8Z9z3bJdg42EsgORdLOfLU0kyujtNgIxrdlKq4KOSGWzgCeLxwUq0EeFDLQGyO+DCEVvLtT7cFss/dAcwzHqb7KZQFZGS+yd42b5J65BA+AJlXef2KeYKBp0XkNZAdQP9ObVWBLBLqaUwAaBYrkBZLlh9cOS554t+3ece/bxk9u1ZgsnxKIU3uxElF95IxuS+zJZlWb7puaJmA/pa7ldXRr3g40NaqDukdz6/3M++gWJntbMACu2dGZbE2r5Cc3Fd0fz0D8gG0PPbm6rOw2iHmLNICaZFU1vHnDV0JSkb3UC8rNkoAXZ/ghQQ17QKHETnYpTnkEg/ZOO+kRkH4TSU2BR5Xk7auj2PPPGba5BSnGsuObe4tAnR2FOEkGdWyYNUwXa3jkgGJluGVzmY4vNyoeRfF4m4hZ00LYI2Pt8q7rrTadntoJdQaF1lKf0am50sBHWdSCsSXgbWGyyEkIue9mkEGCN5bj0e0p79xRwsSkk5SoH9hkLpHPtPmzjUYgcC9REf3sWJVhIRJLhI55ahcbGX4QSU9UT54+lNeV4GctOAZeuwCMPK/u8tjYY/GdL0lhuOa8iB2Dw/G2tLONR6JZ5fLcLzlxAxtmVV/mEOlBx6o0tUl4uVxjB4tMN/p5i0H+mE0q4iyF4czt9zHHX3KztBOd+29Z4/pDo+BlcW16k0FVr58dPK+TwMj98dGCktnwgCcluXLStEbDZ9my2RLCTErkJTPDRIm18aKUHheW19ij5La4U8VkEpv2+5Jskn4mOXpITxW7IqW3ZyGaA3g5pvb4KvdJZriTgU14fghdg8RdnJHRUGW9K7k+xBb+J5IbjPqn8QiFVtRrrKbs4qBEGNecjI8T8gHd00yhC4ButI5XtpW1Z9TOxeXfeGxwfTmCqSKlYcTdl3hyOz4ao9wf41/65HmqPt72Q8AvFLRW3VyCdcA0F9Cx3PNH50zYDJfdo/3nG9SQ81iPAx1EDGeGtlSswjHFpEH2v42vr7JAkUtWtpZxTofELVPHkLwnuu42YSZm9a8ii5llFVJZsLyqaSo0QG3IhMcZCEaW5aqQeb1GUFFJ5XsGrm4LyJrA1BbHg5IpTQL1KU9ekDahte7F7nbHvZ1JvWpE7qrmRAHig3Egbx8BWG4d2YPY9EdCaTC5PMHsV+W+lWpYNhAtAl3h6oswvCDIdVsM8CdmdSTYXQriCo7I/C3vEYXbHQmnRhw7D5D3trLg3uHchMBarIrHrpf5TqnY5Xjqh2rspgA/TyohtRNWXOFj4tKlwtzXkiZH3lOu2EP5RRuuARt1xGfi2MV9foE+boab4hajpkCuvMYxWxDDOTyRzEciEWa32Zpx3Z/yqEztncSwcisMGct9k31sOZFEtJ/M7ACz8DCzqB88AAaZ9pJHADSiF8f7Dw3Om+b9xn3XPS8j3nPugXTOTe+bguLWYFkIN+zl4lBjHR+Ee3xSa0KLkJW/B3VxajO0JXi2GgZLt7Yq9sRWwyY8RKErqlWuvUkBRQ3nQioa/1z7YVUrTaSRRw4arBk7zXU4BoAtalCtmBPZnBJprPgWjjsQTKmmBMMwNqcs8HXYMd8n/7U+LelE5TuGfuW4Wx4It5hiOGnmli+3rS0kIH7LAkOn9Zm9PIK0m44Jzrl5bryP3s455xzh1ryd0dGZOodn8Gweg+MPqGNLj9O5lfKOT/vA+LGWo+ZiZyMUUqizrSgJ6CCd8SqHEdQTmxOHaZwdkWDel49tWnaPT0I9Up9wDCDg9b4SbhxXhQXxVt4DyoqaeBaPIDJ+0hBwBrzfJemOCJmDFvg+OphbOOdZpyWItzP7gRLfF7MlUB0TD0xS0FGCe3zoKK3Pk9mCowM78T598hJm7Aw0TNMRBHjGG4CNIP0HY4aX9Q5KEWXlRrKhVxfTdIE3O0eGWRudAADNXte0CvEtIbMpU/vMQ7kj3FSxQ0/osaJCwnMcwULUGOGwk6Uy0egcFyOY5RodPOmKD4/qyHpFpOMQC0WTDiHCmPhnlnwVR3K2StaGTgxsfUsaCoWMTUg+/RJ342g+JQrgUbRxJavxmjVlxoNpxylMONwzDJ5KI86ZfdgWQkPI7IxMxo3JpmPwsbqqkERBQKp8rydLmU9e4PuDRGYLXAA7NqDQ5Kdzk419MsVh9EU4xEucEObSjqokix1rvCZMDFwoc3n7pGNALGR395Yw5nc9YaSAnzP2dklWYoI9pm3qF5oQKQhmL5qCqxwnnE188fPYx0ObK5AzPs1x8BOdSTdZhjjm2CW0OHDboiCdgzRjXCfc9sw/IgfsBqvcevZcjNzx3HNp/aiPXrKJifjEPoR2V8CRIsq2GTh9a9Dc2+fxre0BxRbUVGspa39yB/boFD+g/tAzx85ugwxYccnTXaWbJR0+DoLbO5KFiIoPUHIf5DiLQGMjmTGl4707ScDcpsDGFK8eWUUGQOoIOEIaGSRUrQ+ZWOVRuu9HhZv1ZmUrXGZY8Y6ekJAnNa9jgXFTagIjMwcV5U0zNV4RcIPXlVBtqJBqEBm6wasrptqA0ksTiumPubcBmdLxgskBqkG261xnTQdnM0JV4eL9QvYrCKbUSJbYmNbHriH7mBRZF1cH34UR2bOlv4EvTsGQ0htLBvhosmWWAXkJtf4TFMZaD2NTesvScxxOkL+iuEGwvkFi9neAplCbBj+YlLuzBblbDykBgKfKwspHtgLYRSX5E4QwdkL/IEHIAmxabo2wk5Q1Issm7KJxUwq1e5rCXXNBNgrWaDh4B2K7FHAH1+pyh7nQDY4E5peYMOVwZEmRJLuDONgrRFcY74rRdD1jyiuY2Ios59javqqxv46FSECJFRUlHS+MuKw3SYYorwx4O+e+z/dv5xwdFeYajDyvF52BgzytZLA+EroNKI+FcKTH9YcDJQKyho4BfnXc7KkQOnTfllSW7KbyZ4lX1SbSemhQw2YA47rfQdi8amo7j43QY/vGHDWVPEG6ttBghYlgtnylALFfBAGUzj4slGnbyD9MfkPwZ/R7r/ZZdF3s7Q1j9EulNyX3uHGAqUpaBbkmKFUPFMjO+NwBs2UEonMEpLbH5XA4pzU376l38H10H2h4D8KUIbFuSOhQTSJSkdRoPMlS1HSnEmVNIbYyJnK09Z9ZJyWdVU9F6jwg/Mh55Y23VHt9W4DQs7YMuljddBMyfaUpb1fgRx2iEVRuPIznZy29xHqjuaNOxgMDaGTdQJdkH5ciFmzzbQR5+uUc8YzRhL+njo1PnKdcTqj0WBJsZbKPL/KCKVhl4rywY1s+d4+2agvr8v5cQlBpogQ1KWLSxj9pwipgQuZhPIbEU/AsgqS5rVVS9nhGDVuZVFIKNCPR4ODE8ByBMG1+LfLGkDPiWJMWnQbdAwSp7A/w+DxZtGUey4Wqf6TSDfDbDdlkKqSSLE1gsgAd0xrlYPZ0BmarQc+Zq9i+ZIvbQXCi7HDy8Opl83BR+87+QJKussKvmEeqncByZG8uGnIaHOjGiGiNlUVe2EbSJYKIbagIgE2JrJyQdqTOqFBbjWfE3purgVkZOli7T8Vh2xjbf2UBioTsH3Ua7yhq84cRUw9LRYT0WE3oP1EF8feA6RjyzPEXMR1gJifyQW5hY5Ir5Y9SYUHD2SdiPW0+Taip1GuepS+P2EmUKExVC+TlXUGL3NziA3QAO+PxqeKeGt9P3u7UjRF3tjzNs4h4SzYfKlKV5tyWKxQFS7E6BZ25IqHs/s3SxHfIGdERTatDcW2vMAmEyn0bF3+e9MwDETws7vefcfPyP5mRBafm0g3d7VthLFL+iWUcj+m82wnMKRh5Rs1eYSYWW+0lDjRIQZRnmBuBrV24ijT4mpOA2ChyFd+AqKBVx/7H0S6wDaHIPyxXAAN8yyur0l52VSZV9k6YTc6kTs5oGj/pvHrElGFDfAt2n4iING3xAWDgsF2EqzqcEAw/uBC5gEAGlh1l/FEUAji6NtduKVy1jy1lRayiIyq5LtL6zIM0rcqI0C08VhUsoNxGp6+ATIyb3aoYSLkA9uwYwkwWOBMtOk7MjgXi9lVg+lh2rnNFtR7sBoRBX964oTM7fEUDUm341dZGGX1h4JedL3POzDM8zPNyfgfImQyECJUBnxazpumWg1xRj1JtrVlXpaS1/sBpdIN9gpmCIM5g4gTRBWTmy01QbppC/KqDEbiTPKFMoq10bWSFCKrNvKCQnYuzx9tci+3DFky5FYWswfvh/1Qgo4VqE8Wp46gQFiQIOkhyPA/j9o4WXweHA5rykJZADZ8w7Y83BgmSxDvMkv3U+9zjFVG6DKCNYAWjACe3nMHLbQrf2H0PekH22+SuV6bTGjYOswhQotgip33/BdfzVR7DYtaDTg5ImigUl4xslx70H58U9/nKs2xcZvzlF1cVPLWrBBx26kQU35TgUWLThFLAgybWmAmJGf3JLmiSXlbhd61lSHf6OgfHbeA9cPMM9tssyxLkDgVObDxzOUvAvQq1qEOhjmqkAc7MDA80g/vuc2pYWRyG+E/OcAaIR9pObAAU64w/SHm+nTbtc4d3YdzH18+/R9ZwiCSz2A1VFfCeV2HONzkg029p0nTF3WQi0LW12izGABVOn0LkYg03VDyUNxqWN0bVaGwDhBGyaWPRu42f3GT2Zq5zAK2MBryle/oenanxlTMdrgzPy4WDpFM6keV7S9vCiyW22lk2T2oS6WtT4vhQGp/48EYS7lYCzA7bAFAQazjnaGHH9vPCqDv42TdMsaxO3w1AJpMVUiHR0lsVgW3fpgW7Hk5m5fOyzfZEqqdJynObiml4KRVH8MBIxLFo0PXAA0QcJAV6ikHyujPvya7l4Skoq8IGaAr1zP07hnr066MbasjlP4Ow+AUSR8Y+VZBFa6DQRnWOMzF5dC1/JmK6kCfgfjsiY9tzhowxEZ9yySvOogpKYWNeCFRnmV3Io/A+Yw2zA+WtiC1XYa2xvdwR5IeM9FBGfBxKFb5PisGm7xmtXQa5pLCThV93Gfia3CzWI+iERLHKC038zdgk2JahaABvJtTTYaDdNuCJokMAXpD5uB2aSAhx6nxV5aLXC+idx2TLxKmuMCauX3wk0tlZXnf2VUdIkHTD4+UkMgTMP1cbjSDRyqimMm5Li1FCxSDzE0IMqZwkXD7RS9rX2b86sIpxpyM26+xrIKFiUWwWVZoK0u/QvBvcjSmBrpw/pkTEkodAhvz8o2cCc53Sm/ttUohYTWPOLpAsX2zFfWuCl7iST2+gYZpiUT5F4PadrFnh9Q/z2RAYzvjF5QF6qtsnfj2W7D+Uvv5gOxhjFDzRJ7oUxQOqPeuw1Gz6M/41bD+dFKSqw7zNoPIU5uDDMVpMxG1qgfE8VS4B3G8KrYATzppU9Av+IINt/+ExXNi2goOoDU584WePZPnv7fJu5CF6B5CdjFKx+G60MrDmCEk6x1TRWnGsrt9nqfpioarqKnmRKRWvSrJYYJsIgIW0oM14kPaGDrYc9G1z3FskQxZqPMWE5Q7cAnfOT+qyNwWdgEPARjPgEOo2pFYQ6AEpm9obJlgVJKR0cdhipQ8pbC+L7p71R7XpO7HBo8SyD/iBveBSysVUs7bYNVFiPi+m7X7gyztkOspO4vYIrKGzhSs6KG5i/rAKsPJR47boEm5XmhQqHLbm9nfyLRNL2dE3qXEce+1lquS+qb3qrom5E5g2w9nOlygrUGaOuRhfPR21wDO8pTN6H86t+wDV2vokfFA/qVprxZkWaLeqGleBVe35gMqDtYM6S+RVSdlUPwNXA1Y7tFrL4fNUVRGdVZ/tDQVfjy7GJqu4QwWbA4t6SLKZ4lmvLJh9JsqtB0KoA9j6zzydUuDvT1sbwLjkFZEsQWu5FTY7pewS/gphwwwRKqnGWgmnrgPNasAXm1DqMnoKwx7UaGanDsSSN93eKo2OeI4Ue8IRA+Qf0pTkleLfWZQqupFW2x3ueuSXw+bKQXJzQfAip2abT+IyyoI6j3JC6co9MSRg5UcQLbmttEWQ2ybrEg2G2PL150OnOOeKU9ilkOUVz9GXg+yqMO9RDNeCntS8yHKy0Y14HeMcr86mYhakkwPg1oZ/gTcw03Qq6C3Lj42jzX78MWpjJ0Al1+XLp/fIJSdW2mnj8bwtc48GykNMT+opgSPeo1urulbZCnTGTqPkmREOznhBNNwZlU2xR/JELpS1QeYSFesw6exH16N6ethtU+EJJEYi1RR2Par8AyRrnNvbiv1qJu9TFGCNoDOKNX+EauiijJWRpbZy1XYATyfGMV+rBapKX42pLvzOPBwOpnCQVeRwJgNwitCUDZUiDJJpF/dxKR5+iDCVvy8Oyr/TFnC+W77fyQ/yPLmh/CluRWvSyZ/Xd7kGNcWabOltJOF4X4dPUBahueyiKE0hksb02EfC4KSmMfurNZx2wnMplUOaaOXdU/6gSJrz6zcLKq5wN5XdVpvgo4elUVrWuheIjqm4SSODKnGmjmOjRoPisdYp2Us6td/Dhu6Iz8Y6cmEBuv84ojTNxYIBgLQUJzYc52XqsaH3c0PomnYSDs/ii1oZVg2IwRLvLChL/9LvW8SVG2XQVkXaH8pFBkwceLrQWWNKkA5pkxdBiSPbdATLA9cqNzm9dE8ATniICqckQBrbUwsJcR/vDLb1Axi7piCuRgCsc3NtrVFlYm4f94SFIuV5HqeX2VG+jVvZtxi0nloDOU3mPmbbddoh8FgpWRRkxGiIvOVuyH34YFjjv3ZPsJ2XGU4/PKYgL6NHD2e4I7wBLa/DJRaBwCSLs5Wo4gAIQGknVyZ8tP0HxzK3GBzOrECDVtaYSxK7hujDkjbH+t1RTbKAB1jMLNZJNxKUpbUswjYnJsWSkafMGldG7C6Vx2Q5qMrDK7BYV5OZr4JpN1f9BdbwkvuCvll2/XKTzJCVupEhXGmhPgCvGEVIT2tGyrQnFU21q9XLlV9mfIXylolBLfoPVocVvlF9AlAsm2EU0BnfQubVRGXyqkFxUudtHNsTaE6H6Wcq7fhOh6osFYoODYurffe5lZ8J5JXWS3lHtr42SeM3nVzhFZWePxhkBgoRcFv/ijXPyNF3shKh7dEqtFPaedsLUoFdKY5zpZTc7MeWf5sgOR5IJIEzVSapAkJUOpCyVk7C56P7fe4MwYxkz7OQZQWn6NQVrJFHcTNSMjViDaXGtGUcKcKnGw0dTZHNGo0rW1cSGZ3i8Aie3rBxOONSB9sAJVKSPGy3CXd8BMdrEdL3E1AqoKXLpa9jcqmEU/YVFpB10eDqV4ZWDwWKQTmZiTk+1JPziZws0CP82GU3CMpxVHKPoE5A5Idu1n23IGbqlJv/DhjNWF8Jk62Qw2RWjOq+cU+d4UDHO10FaeQFPnpIjby5zkMAXcYVRRsGQCMTCyyT2FAHaInkGYxQlq37Y7gILPlLKpvmBvHS8wDl8USBBWx6JBMsuM0nfeSlQGpwhWzQQDVLtHIg3gw4wiCTe0jnG2Y+HJxMfM1i0P1jKHXViBb51EgajUbnPnWrZnCj7tE5c+xZTXqD33hdxgw497ok4GnLJfEuObsKaW094FLad5JAomH8QcLkr0qApGy6Uxp3zsoTI9Lj1T+xdqIg3ud4YM4tq8nCE9Ib9IxZ/IFneX6orOPJbSYez3sEdBunkZGnER6zk6g5Hl+hcYaNjYLGxydDxlm+I4jzyMk4IcurhsZeRzlraBJdLsng377hXIE9kzo6e4vIZAkb5mmDoCfKQy07F4yPog+X22AC46s7di8hwFvH9q6xI3XjQva1YwyrCzmv2FFQHYNjM7DWB3MVVu4H5fG6JqAQg8qRN9ec1TDIONfwKg4pRDJWssWj3eqd9JD5VOOy2l0h2HQKWqHJwsP87pvxgY6Cz7/hTDK2MuGcZ1uTJVH+EPk4AEpTNKIu7GAE8TFvSnkGPjqKlHEkiG6XlcvT2uuzyq1qaZ+cz2aprH4OtWhiTFvumc5VgoZ2AFhc40HHcPkaSoxRztYQ/qZKejUIdVsfwM3mFiYKlKygV8i9HaOGQZi/2rPgUnoKFkM81OmkMqZnc5a+dGJj6NXn5KQ14G6eoXGgVKVJABDPubcCLvdLlhlZ3CJsNqclNTHQxtZxgKKEKWBNWwv7RPdizvoOSEWtt6g/rw2E158zTCq0jZujoJtliwASx1buSIiAXKy6byBLIJQfhe1weF5bS8wbNk0a8z41W745H/mX2VYB3NRoaDTgE3HTD8L1OO8axDna6ZkED5mQ+gRo6/gq2+ScOK1ESUg18esuQuGSVQGkZdzkVY1hFS+hcTXLt8rTCBcZHzFG+wWha9VnmV0m1K1mbdEOUv4zroxEsOsHujfIbcFCWcdtoOobt+iFWZnHzS1UxYdotu/Y44EMWkhs2G6irLW/Pkd0PH3IdYgwCUhuz1s42oMZQzuCKE5UhBsiJHBikYqdXIpy1ZiyTAT6PQ9ks0s3a4ylXbIdyPxbhHTK85o8ozQgJgohJhmk9O80gkiV6yNOuVLMmI7jFd1b95lkqarg/naYcDvSBOiu/9FJ4ejj4/E7N2QC6OjYBXd6tgOXbE2NTQ5Vi0gnL0+0Fk0Ttw5nA+MADHf7Bp2MY7tMWMAT6TWb1QLIuqrZxsUzhSrrXVV43OYgiqwCyObFvjptFYVUx3jt2jJN61NQaeY5Qto/y3A8Zdy4IM7T/litWCNd4anRo8jvjOWxAdW3C5XNIOV3UW7bbdHVNnaBxdgEqMJxP0LTKhs5eIyuENevArs8TEAnUe+OI4YdbgVLyuXPiXPk+siTvmdwdM7oWOFTHmvhxpvKWfVxnVSndqxN27p2ANdWUUkuytidkirFXusw+tgOPFU9pZ34kEZTUwM3daYCdAwuHpMvy0ec/ie31ALQh9tdaWTyNOFSHOtyyUA9hzIvtaVxzkI1poOjcbkCWXVgafngItTjny4X6+fgPqd0OCoPB5/hYEZj19QguKEbR0IYyU3WY1VlKkl85FwlmvEhl3y1uGOL5q/873c6WMThT3/z185M0K1GVKNmQE75/VbeXJVZykk0Zg11Md4lYDrXrjGsYSHone2+iaY7oyX0h67gnPDeYxkqs0woxAQm7YECHmpV9n9v1x3pVOsDxEGwK/zSFuEb45qSqULDXgzgFSVOdGLZNMlBM306W25F/lgpjeCaoDAumtkHu1ftB0mjSFmvSUHiO1GDmZmDe2Y8UnSmuwrlXs4eMh3bZKQFDsnLiSYF6KNDXAcmjFwWPWhUlpEif18MD7S6aTfPgQwJ0F8b40xtSYYBkR9nxBUJ3Y4es8vufa21ZTRMLIgMIPVtDZ3+HBqfYya0nhwNHhzEGHNsKpQScXCY8XJfFAZsw7BInjLRG3R5X7Grf01EMcdUIcfitfVYReU9AvCEcj7VMzfq/9vDuGZSfITkTC3mEsTRx6BESCFnOihP1Yc2cROkiVDnnNk3kyAga1Ui0w41XtQx/e1fHVPghfVh671bPGaZ6cY4ztZUtks5FAYy2WMBjoyuLFkzx3d/ThaJhnbZ+i8gdVnbtFj3wR5bAMZW0lo7DKYi1PGGCI+gVdrl+aGCrb/RaacYj+rj0boccrN+y0JT+/Zp8TEeJyJXkP4Se2dQqPG84f5sEvpY6puwAoIz1ntroVnViMWhOBW+YB5qd0TglPdt6QcYH6x8TKacTf8APunyrygPkoOQqkRvXrBdvk8SWSdJ1FUe6NZgZkT9zXt8P8dscwEnK1Mhso7jbKlh9bMDHRx6FulWdp90MHMNbsao343la6TmWHEhWK0na+nGsxjB2PC5fMRynoUDSGXyS88qCYd4UhYd04ZgBlwZUE3bVy4UIbUo7+Fw2MF4pJlLsa5V8hlVFnaUmaFdj+Qrb/8NjOJBu0Dn0e8l4oGaO9N5H4HQRL3D6hBdGrvquK/0UeszWjCE1nCqgsnbguWRmuFuR8UTO8waZBPOMdyL94cDDAklUNTAG0L2VyNYEwFk+39dWpOjxDd/xYQ2pY8g9/aW7PHnr9YZQqfRK3PFYNhsFWoovRReLzp5Zsgp0qjjAcZ9UT3ey5ipAGxTFWR5x4ORENwr2p4jn4fKJ1dDHuIyDnWlCSeNVHlIr9eFzKY9l1zJsq5tdlLEN6SEUqOke2l1T/8Mn4Drl3WAroh9Baql2zJ5jTpJMlYHkXyBKp37uJQXhMrm6/bLcMFn5hWNR/aiYBpPIksFHncaEKsYmNoCYVfKm6PBqQofjfg3eKapUKkK62S5Yppc9vHPlGPYLt3s4vTBTXfT3HPFmq2ZnwWreCbVSDpXm6dt1SY+VO1MVD6pYcSSFMltsLsn9eRKIFOaQLEGJ00TwWkfapl18gkXyQO0mOBLYTxc4kM0Jbj86JncyLIs2lSSy2Mc0P36YaWubBR0VLaHxVXowplTtpJ1B05l4NskXdNaYiiNkPVmaQSDqKzh9gtOR6P3bAuctOnDqoQ7tKVuoepMmk015sofIwKe1Auk62kI4tn56iNhdI5O5LUaUAfuG7ujRxcOiOhwVTyAjQD4cQ2NWMohFgQ9S5YmGrOmIqfb0r4qNNdcktgiw/0JEi6iBc3BR46ZOyR+dXRTnnCQ2IpEb1HW+LdYqlwCDuyrnIxgIo3oIJFqCDYrMrHqNMCyZrryd+A1ZYaUU7aHMSXXgjScGxlIBwi8YCAeMS5ZnggZkP0EBP+31QhhJ6UWsf2gMWe8sSXi5gVNIV2eRhGJ8aB2NBA7cQH31gg1qqImN99Z6VOgyt8KxUwFKwJ1N3uMXit/nYFLEzzp9+2qbkTjCFbe5+J9EK1JR8X/1G3/cTD2UTgVnFBq1xvqqONQOHJZ64cSjB3+UzIRrC1VzSx6R1qV4pgOK1V9H6PHdgM1W4l9tmW1H/FMPxhTh0EgMkWjcn8Y3hKDFAZIoopCxT7FydjyFqQ1bNyzB+ZX+c/RkrwQ5FFBi0OFUhORjlcUQ1xcLyuSNVGduGM6YlwB+EB/bPEAOtx6gnOMgbJGt6yk8+I/RDjn2BDZg001oOiKrMSsHpZwGMnbZNAHMQNeIYyfk9vGWKElt90HguxmCDMIYV/NspEPU+q7lFmkyVfwuURO0uz19u7dWekYPN+xLQWJHroae564IrJehPKkAl2fJs2hoA1rjjEBUARd9ruyMIiTx8vDGJR/rGkNR11gStUqWg7oyQF6MpHRAUkELrR1jJFx+BNWWR7jL8VxiXnqDIGyUX+RqHZPgdXws7DOty43JBBeY3lJVcFJyDPKTnpgAx3ZltcNVxHoYghb2JLPqnaFXnVI8+KSNC9ZIbrdNqQzPqidmLAKFLMjcduLQ1mjbBzijR1mEDzOsZAbucvGrQSACfWlsGmuZlJ223rFPQAXVwx5qb1DfpcfCS2h7vjjUaMqXv6QEbP571lvYqJvq0lm8jqKp1xVX5ZQhv78aeZFMugPm4POhkdqmFkQbFmYIsfybhd1/uoSZB8RZUy/2JrBEI0zoHRUUR0DEQcTEg85TpTajxyfpXZvgATaj7zMlU/DspL6CHiA4om3nWCLlCzmWOoKS5HB4/jgEAdeZoKP6eb14HjvBDb/1zA/zbdWGEfzi3SHgVlBsT8pm32rubOGAEcn+xplbBPKftwvdYOQxxupth5UMjZwRujQjCGGyuopLzBmVZUMEN16v+Iy5OLYX1ul6dHcAoYHOGdk/bqJCHm1e53ayb7pLpRnMTgsMWJvbNfuZKwetwEDe1OBSROYeC3CA6bcwUKBwrOIe8qWEEKoAtskrXyezwgduUNeQtkvOwW8KXGMji89BLJolbSnbiF6gruKuIhJNxYQpm22Yb4lXTa70ymf24Xjedo2g76WbPZA6OlHfzMtYWYGo+OBAs3Ai9XyE8SJSS4Ay3JiLmGiNilyvJkI+YGmUplgkXI4BM7DlMrZzpSEZ2CQm89QqaKFw9lz5QvhKeDqCiaXBBzqBu73EYQTNT+OAYMFRSfpWUDm4O2KwxAPAoROdVzxdNBKvWhOYxU8frymuATMUQPIgFSCWhU7eRhwe8n/KQGLPjA7p14a7CKeIxc3onV84SziW/t0EjjMKLos9PcWby4ZPFZiAjsFLemKSxNt2qGnH0PpKNvgFT69pi/MMQiUGKsvYtyPLgcMf5O0UXyR05t0heKD4yOhE3YRRIbhcfKzJ1FQJbYxoFGrfb+lmYIraW8HbkGiT6xStivaUQcA1VGs0UJBELaJHssvKdRgzLGYvODjiWDPRcoxPtTa8t7+jc6P6PEYBAqP+wUIndhOLgvEVCbTqfKiTyegs61p/6PwALMXMUhQuZDiNkAfjlibcpaf8rWKuZTWYWUKUDO1+8fh9zkAVBO1I2QqzLr7+agaIP/ooJfwZZoxYkzBGScTpOdKBTfmQDrT52DSW9gIWJoKEhUjrSRgRqMT9YJ4NEV5psvK5IXdD4hCKl0XUmTh1EJ/rEUInJsnXnpPJ9ElRCAF7EtHjIOr4gzmnGvvyqG1PIFWJ9VsuhzuSRIL3GfGdthwwHCdNhjKs083AHu8cy1/quCuaQps5Q2mhhjnM/O6aQWC21AEnnO1lSYCXicBLb0SeJVs8NiSl76MJvELACNDhY2PsnCTG6J6cRlRHomkNZ6uIi6RNzNmiCiX2ZneMyAflEerWKq6PJh4ZO0Nj3rL5fL+QbJwFSD3Y/3wq5Oeh6C25lpCYlhNiJ1ZBXgiBdm6lFHN9bgEvCXRITMOjyQIUt5RDqLmhNN1PRYZh8wSOGzI1fzanO8Mk1+Cq1n/xop/AHZq8Pm6RrjbbV7aJONU2w4NlMkpTR1oazJvovHNcavcuDD3Rw+lc5CmhyWAk/7IGsyJzFCplj0UUnWQs3fWoU3KY0j54xMlL7T3gzcHgEQHpabN3/eIzzoz0PgYgD3KXXFMPosXe7oboNTYJ2QVUMSQ7ETPEIfj05EpUJd8BugkgctaLJm1GhQLqkIHdcY6YtzPWdbN5knJ2+Hd/A/CfyB2kCnbIUr9Yd/qME8UmxLmEmCl1pxxkUWPvZhydryZkU7EP2LyEwHotjrGVG58D2Xo7+CSGJDEhe2+aIbzoXWfGRBlDR7rGeAW0Y0yPyrEBIWPCtbBNQ5QUumII50ZSrfuG3WgezDHHVUTITKt5Hxn95/SdOjV3A7M8kHuKJTHoptEhnIXLcMQZefHtWzLAOOhwVTEO+JX4YE9Z51fp8rkLkaaDqus9qVGKDtJGarMEXdSsBHbiQSOrR2ddaADR5PlheASCc7k5oPkN6R0Irz2ZUIQ0SXiKNpH3yrraJyiSt4eNO+8rQ60N6BXKtPDoOauAzHDpSOhjgs/3P3IM60SxopTKRNH3E7LUtv2uNFJt/FZR6YJiIYKkzvMEsaFzixgmBsjHKUYrVRZfSI0xy3dcxxY0zqVI/PmgLT+xWVIzD+AeReGMekAKCCq4u5majWhRVXQsdvNsq2jj8EiE2dGe7U4kA8vMNRJU4o2GjEfaCMzPzYHN/leGRfj9quk78XRzm2ZGi3PhPiKolCF9lgllBkaQNChMLQvlEEpo8Yf7w9VYMNuADNxfsAWKZ4YF0AnjX+tpCqpcakbAA14UEmrLfIfsYahXRfgINVVim+Zmc5cw0B6PH50Ud6s6O429+8Ee+jZKIlk32ox9hdZUZImtUnebAdLFUNOPckHNEzUk5FCYKmUbmtKEWMrT+vduS+G0jyKE4JDo2FE1ZaYzP9UuABhfzmsZ/TobY3ijDIKYMGCi2igF5mx0rjyG89v9wGsPN4FqWHTYsyQGp9x8QnyT14WAd7zAEDmqwRIAlCmIrQcsn7YJyNgGt+7crTckcAyFRH5oH+clXBuDzShGtshzFbYYVcXk21DAy40PWwP9gjQrhOK2NVYS6mFIzdLwVsrJnQD1SVJ8dLedJOcGdFFlEWk3HMCMwH6DEpNHqHv0pbgmMX0W8OYofJ33CIPnt/jdo9j5m2CcMIuBRzAqS99Uquq4gqLrSnFiLaFUWE8MylNFSllGqQEBLuz3R3JCKj9xE3t9jY2wm76e7l2KSFGPf5fT+DK9jlN/9ywmDDhX9bytO2YdBEcNdDsrn4h6ZWhVeTFaVN5PjHXch7W6hSqMNXosMMolfetd9sfJMpuw2rfv5Ob4uA48hzs5XEUM6WG6Nw8yEx9xdYPrmErMRF6Mr9HGbBUgUDFvwdIP47+1bKKI8UoIst2//KZCfGls6kMLH+ED/ASVbYUsfMQtXsJQAbmu8iyJp/pjvLxiPI32KKYy3I5YPi4udRfZj51jKjjpTJuwGori1w50rqSLrt7IcVpABaTHWSwYYctF27rzAeasrPX8jiteU+HtlW2T5CJzVb0eqECBuc4o+agc3isUFlGyKcV0GjOkGVpQJdHYUFqncrc7KTpTIc1GwOFwfC1Nq+Z/3cS+DytZrG8yyqjHm0cDceDhyVKx6yaxd6ayWnVkNkmoCkRY+EmwYP8gjxfMXtK5nlzxu1oKqs+QeC0FW/B2DogLqA4vRzLVYsNrLovXs9QWK69JSpr3Wulp6SZAx7xs3SGOnMfnZMuVcBIekuUygbKaJ/myOWzai5+FfZZQms0Rd2OdW0qT0LD0/njIyOGSsJiMgHVk3AExLZW+a6+SYDyY5Ijj1+B0vKLdAdVqNTBGQyQ8xZt93rGfb7ZZtvaZcBdjZ3Vga8fJOGQIWxE8GShAhe3LCsYZkC8FdlmgBiJ0bk1km7qiLd0AxLDp9I4wFRKa6Jotho5a2oexJi+lrnhAzgBR3Xm+yUPcZmMi11AaFsmdojuIQaCem7YtZ0BGkDynO26E9A5A6DHmGgmvjObcDQvHAABAABJREFUco8EzfGs6+ZDMUogcjrYB7kl4f0YZ2tfKd8zlKuWeG1VhI4JLZlQg3JmPBmSJTSAhl5DNVZPeVhgM1U7c0JCfDwzi4z8SDh12w7KMlNHG8hLpEyPTeqYxbz+X7I0uMcRcoP2E6/ijtEEZixn4fEVdgGtnCfNk5g4LjsOUe2y18lLzo+TlDWMJN6OZQ0aLDGbOwwJfNThGe2JSN7E6oxriAHPFgzRAy6X1pDGjvPlf4sfnBg35Su1gcrmydY6hbNSuLRoA3wvcUKGYM2kLdtN4XuI22ECjNefb6MnZIBreDl++MLAlsC+T/J6U417O8r2ARd0rnQ3uSbmM9/ES9rtx18PtWuWK6TYx/cpKi3oyFW4JRRZ0d8t4HSGmonto4Vh0Lh1Rq/CEVbiYbKqrMm1AQd0AO/STiUhc8cfLiP++pVvRWZSQNs3STpcGEDNAcCuj7/k408GQVmmC6Rz5b+syI7deoCnhszOI2BWW2Ca9jErTKJMOYE0tZOHSnjJuvIxszuIOu4J5gRDmNJ2gwIOIPd590kvA+Bzrrgb/gA8CUg1IJMMXq4oYwvTI+vZPs4xeX21HGpmj10H5ChpgpJ99mB5KiqDuPJicrFt37Pqe6vPQnwjWaespiPRXZS8Y9npBpSl0xVXZrbcmu+Cp/PRD+Ft+1rcjoc9KE0nRVUD1vyUPPnX7rprWE01Suw6fbGaLHYbfrlcqRfQsxDN6so8ZjnItIGFZERtaSczSEmhNbgpeGEAF01GOWhmzLOXTmMclQc8tZW2jbqzfNLFHhi3/hkPH0auqIjFHbk8+p3jXJv7t6vrrq+jZUE6ptxn6PXOUTQ+bBa0znbYCjfmiJJcgzvCrKI7Cs01yvCPCneq1Bbb1lhxk2uCnTYiWRbgJocrI7hV8gtXGCbnbRnlClyfXzjnAGCse5g6h4pEK1JPH+wZPBrCoTIumQWXELDScyd+UxwD9LrZZOymYfLeqDsPafsApGtrT8vOguZIYhxfmDLf3OIc8mCINJkjXa/kH1PTAfyaOdShA5diiyIzv7n+WFrLowldGhw7dZhd8ciKcaPxZ4gtpWFDU+FGye4uhGMPZZ3kPlYrDubMwb3CM0Wb55HrQMDwAlXKDQ2RJKisEkCkE+wqFuLID4zg13uOhjiccV4dQWdaxwnTNhhT22AeoWbNa8KhUFTx0BoaeAuDs1A7DvpJsKpjTMSKbMyOC3qKV5DA2EbOkbIGtu8AHs2jEl/BGWV4joxQJi0d6+OekJ7hIkG5757kMBFqht81mxh34HYccC8BaRiZXHLMH5zgwgdSN1FpKn4Yl7lDUxWK4OIUET+pcwI+bumsC09mGAeFk2FwKv+O+1EGy1A4iNBR8HDW0gXb6ZHjWvBpcwkUQORPfvIjM+Qn3FdU9rOPyWnKg19ctw8PZ5eJjAFQJ7vIaMEw4twDsuFhqfXOHfd8UIZbGrkBLcSXMeAtfzKnrJ0IbalHjo6xggtzrrOJbG+0soaHj3UG9MHIgAwV0Yo8Cqv1Jc8/YUqfifzdl9Wrij3b4dZB3oHCf+4bA6SRO91QsQ+P5/p471ibhjp6l6/NAWuOrhcYylUrgjc5nLJwiQe0KYM8KgsunEaHM/EXzuKjh9zyTL2OuHOOU5nQc3/ajZ9JKwGKEGDkKS9AJwMRkR3Rc3ehyTjjuIO0PkZuUS3+beicjCzxb03UyaUf8yiRK1eq23syoh1j1ZyzLea4UrKEs2YBGf1RQecQHB5At7k0JR7UEJwjDHGBytC374xTD3gTz55Jywn29FJYfZ+hHp4Y4Um9SCgc05OCahGHI2cqn+DOSiMFtZ3n5S8DyHFiThUNELDgVcd3FO259XSGh4cW1uXs7rgr8wYfJak+/P81YiNcgz9HGLRkDaVHEcDkOxWelTBqnecv7R8L+wCB4vR4zW3+aQJYUbMM4LENoUfg8q63ZjSFojKysPIt9MHOcSpPKRx8Tqs0YTgT6zRZe2b2mWMHv1Xh2I8ryJqUcPCsHUh/37R0KiDlI8JlTm2uoebpYpDjy57xe0AMSLFXY6V6g6fr6JjhyYRRb8sZfTSkUoqaqFJUM1HNVR6yTAVgkB/kYIUx4T+rekz5V2LOQzpjAao62Oc7xtkXBYbg4SO4zUWuAMl4AT/B3e/yrCeHB/qDL/e/V31keQDlozRphyIccZbTeUr0OWkjmXutRECzvml1ThRrOzLu8zHIZJmlQTllBmZNnVkPZGf7zF/zSBd0XNKBM8Myjt/0WuEyKpjLJ6IixklbXjLFE82Ba4VUmcaU/ja5beuqUT7/LGDOQXWCy1M5ONVteUsZLu1rrcX5GxDc6hsp8igE/AuQqv0E89kQygxS9RUmJ4gir52FsfvQmUOyRt7WgvEsTB+8NAq6XEXO8pBm1Qw7maIrthZ+CRNPfZ5BOwdU3q3H6szMTYgXZeJ3zczmURe7be+6D+TtElt5A/6PAU9eLrljBd+FZ31RGiJuzwSbdwZktyRB2LgNZDnlcnyKnePWMKJzvM5jis9cpKluSE0OQ3iHvuUTFidcfJTIBLJF0izk8e89fNc5t05z3iXxEJ6XHXGk8uSrH73buDX8CMSpcBMfUZjxGE90EosdqEwru+iurJPjYCxDyX4a8NCjKXj0B867rOwvXKS9/zzZUQ+9bbesjtHGJKu4bBl2LP3SU7Y+N/KsdHaC/YKeWWe07ZvEcVON0No8iHvqncbLy5FFVF12vvdZsxifFvmcyYmfJsZrEN0KeWGx0QXOeKZlxP2jvqiVh8vJTKlxp3k+T9asZRuhKD9POhoW27pAIEU1f/JTFwDxDKZloH6LvubOrlhaBK6nJS4Woe1tjpt+vjWunn1FDAkuZj5fWPRsBO+BfqPP2YjPjyy6CElLsH/IFgCsGD9LUdKXMVvuPhUSmcWUcwvo49yWFJOricXzQrU0KLXtgs0fmTww7B3s2aFod4ynDkiLprFiFc93Q16qZ4Cng9G5bxZ1zI9AQneZh5O7Y5K6AkaRHJpG08zNupaWVOaNubBrlBn3FEcuWCycfzKIuRiP+tdg2PnPgA7yTKBBUuKEvyR4KJ2YNxh1mdbyXwaC990eWJlOzHugOhKTlg04QeKEwfK7GBsVWpkSMlAZBEckJ8TGU2+NcYT1oOqoznmYALkuc0ZqMTY4Zp/SwEwH1E43AQIGicYyhPvdntannrJVT679+G2B8D7EcIuM8iSF8ZViJqJG4Wi6PJxlbUO6tYF05Pa2IpaV4VPll8XKZAlu7S2cGbRN4vlwGvlXPiWCEybQISsInS3CzXAZZ092Uew18s0yOP9bEgt6aZvjPrY7OkGFoBmLqQe0uHwtInRgbJs2pTnxzNPJD13ryJdhEAWrhYv/qBsy7jPpemXGrozjg8zCFqTCgtdv5tRBKIur05D3zJvFECkNXbnl4YHk2WEGSsfCC2xCSbOxGf7ioVuBvQvK3XAeaXSuAMeJD2ut41Ng8x/2jvDDGkY92HA9RciJc+qkcPZO7BQ9WGJYlMd/3LdTT51aTIPCmePRF19JZyy5KF8ayYosHZ1Sn20PuQGTXkBqSB8nJ/fUcWZ3xdtmt7HdsILawzitOf410VVt1DHGs6AVXvONLcpSUazrTGBchErO2EGDs3gHi5AZ5WR6gEoKMC4Zi9yxxz9/05VWELAWW7J6NKUQxsqA+1OYCNbMb5fKtEnLs6UBNKurPjmpa0nkb8vkO5Osyp8ZbIos2+IgHipJrbNXtTaX3froBWa9ZGrRD6YCVsLn15t76pY8ErgVlxSoeF6vIqe9bRVuGFotBDVK0LHbJ7yJYeYUSjxedCg7byUeHvDCbO0VvT+X88VsbZ4zkSvpJ2yAiqlM9lugjN1S6iRDpairR5nproDUoUAGz4SO9pVWMU2SJ/VktIuSKn7DbiT5XLWem4On+mvmEnZwVLGBEy4klGCGDeCGcLGOElWOZzZMHp/zfl/3zBGOzi1afONRDb97KXnMxC+jiFC6l094M9Z2KIucRsi/3du2jSyTZYZDYeOQvQPRUJsmVo3uqmf79XGFVoak5NpgCRqSxyKE9NV3eE0q4syzjy09KF/zshbNZRkBIZP54YUXZzfmdmLwENKyUbONYm3ULpibSOLb5pIrl8vLj1l2N8xdhjcJsGifIlxEs6rURJWqpmNCt6x6r24sgsPwNTlS2pZi7CC5VTW0KZ+ZeZl0ZsYUuC+tL8SahG7Ecagw+y7hSGGxPNZv7HM0g7pN2RyYqZHn8RLMvHR2jqxVQiSu1hwjs1buHg5yVQdjizyXZv5u6cjmx5bxhzPPaEdolqxBotwuLJ99OR7Ds6ITK7f0YFyWFoR5oPd4Y9ICtQuKLTHavQwrIbdOJFHrC+Squ8x0a4JxJ/SCANwDonS2vPOGXpucOHASXO86Uy1iwJ8EsR5KRyjw7LNz7GYIAiNTd5FGuO3QNNuODmgDSmzatX7CyfmsRdslls28MDhPM6eTCTlMg0hnZZTxm4gfoXu2UKncAO30aKP6C1E7qef8nFgay8wWaZrt7WLRZuWKOPRygyj7k4pPUjdhnorBQ+JJXE6gpQxlpl5DufzzTW8+ORjx9HPU+wG0SqVAQCtbMApwSxvSjpkQLJSF+vYhtG7tWZElGB6tft3nSsIQU3iGNJjwavXQwBxOsIdpL1//VViUW1iJIQAFz9xw6lHLMp1wc0YVWUMOqKN6LZAybjCiBGmBTqYACE+rJViHdYYzzURkg4q9hPa/opzORG8961/Cy1seqcQrF+p+kUl927KwxgLdLoDyCJVBciehFA6pTiZhMhSQZFG5PkpAnBkBdxxpo8OfwsySB4xeSZKFkAgo97v6OItZHoP8UWLH1venkBhUlcMTaXs/P9kIjAoAzQ1cXeTYu7k0XnlbC+hQauDicdVembIFwEu85rqsgx6AqOBuvxdwqo5DM3u62S/VuzHgE3E1i7d6WJgSW31hz1KRPVWCTOmjeVV1oaoH9Bbt7au7pC1eqIwuuMtY0+z+qKrpXUoop15G5MxExVztH7St7R4ycgHM8MVMbSEGWmQJoyVDZfvv/DdELSWh3NiPdxdcYKymVFmu0a38cXJOL4SGjASkUx7Z9zdjyi8Gg1Lk0TZyEdOaQUxSTYEUXSe6gokchZkyotiz3cZ5SqwPwC65jbKqDTmUBMbIOX+E3nCizYYpe5awk+KRXSEg3LONWyCBRvuEleBesccPS4AXFbjpNU4JLh/23WzQmgqfAJ1MpQEs8FnMQO6EOx4qERYGRvU6yoq08ySdpdbyjFS4yH37T6z1c/MQLWmIB8+5u1WTk2BGPthHy1snep45SRM3vNy8JB1wjvnzOTwHKOOTYkFXsTqzM2Rf1dXg7SkL5fpgiuvmhIJtzfz/Wp4rSjhH76fepSO9j96Pd4s6v0fm8jE55WEHbOPQXi424Uq04NSO7zu2e/JXZTVthcNNBRoGbSn90JuVhQ25Z6NiKZb6GtbajYiCkYJSJZcZGomxvsV4nZbJVQ8JOHSHIVSOm6GAfV82woOpDBWnihMfQilUmmt8EcABeEHRSSIloUqCdV/5plU8WPd4X2HfBgBHNqOxEcatOZwJPpa8JmngQmKk9dxkVrklpEjr+pGLyJgMO/xkOHnPca5u0Ar567/xIynVun8tJKzOoJ3aB6opuKYZVvlhVG0UgIPtZObI3Y4kuuPYwrL0mCFCLRtHV3z4hJPhpNyW9MmdHEt9sPc0oi914RFGIAGuQo84quWPug+EbbL5b/sMWedn3tynEU/plB2dFcuntD8BjvSoK7DSqV3Qa+I0P8QWrL5PHsUReFb+eI4VOGe0exikHQ44VzWo8uM2UFMBt4we3HXxwJFzEdZHy+rPaMC9LZBNHIwm3xjpV87mHPMSRe8YQbWs88JZ7t90hn8d0yJnKQ5h1LiQauiM5yRmVRdhwjXLLnl5thyZw05Z9bteO8aazF55Ab3FnsOuS9SrOMfxzhzIeFcDjs2kvGHwPijyPGbTaRDajgFuE5HLYjMeua6z9oTvd17w/AT2bWvmhDFJNlvkZvUhqBQ0MFlQVrhsXYsQ7WHTVr6Skj7FZc7RpvLKZG0Y7tWDyIZjH0hfYtd6Ao0iVPAjx9YvqfX2ZVUt/y0W5kQ4NMz3bWoRq7+VQkpupuNS6LE5C3pIbbafoAKwDaW4sojc5wxiJrUAWb/BD3GE9PGiAkU2d2HZGT80x4VMCGcjwE4r8JErbVXIR3y4GEIqJMAllGMsis4vZdIcwUijrSROwRofPwpZYuvagoKV0fmcbrHoB2fBExM8zi/GK+OV4U+RJ3lvesF9qa4anALOTuOzKbYDMly3szF1rmOksY/wfaQmwje6eqSgJnCG6vfCi8IfDwDedZp9s6slnLkbXm9IDO4aHpXGCiJzOPRSCAsmJwWAftj+SMFI6S5RqKNICUAwDiGp6fadbC/ErUud2PRnQHgK9XhkTJukpqPX7WmwQJXn3hWObS4ebAI73ocp9AXZUgCAUG5gWfDBrpmzsQOhJUebGnxvM7aSbx/Jgq9UCHpEGYYcx31ILGpOkNjoGQjXEuCGZRMNl3/6trI2Ee50HmDimXuiZbHTRj8Z4aZfaXQ/6+lzjBL2yY1YrYntWNg4sDCyVAnFGnTNaxcaF6wA0I6qHBGe4yTENjMZWsVm9gTEylAyORgXmKaHnXtcyVQcnTzUljxrPmoRQQmYOUgDXZpyn7srV1Q202QsZeFc5brOdGQDESpEmuPHunwM5oy7CztBdjJ9Lx0cDu4ix15Sp2tddAuvfVHHkbEKe4bQHh4l5vBqatybZ7paD8hWQXPSE8MtvL3P23DOUuiyRnFQ9QMioz5SAhyqwg7QJVJob4uIl3RxigGFYxGY4CUpgk9645w4U9p91/C30YbDbrqZdVz7mxKexpg0FecXuskXfhph85++gzFmFCeUgGt4SlHoHN6VIgsCxW2KJWtq/yNV9Rylc2zEwDxM/4GnQGVKTtcajXhNHxwPbMdNluTsmG7RoJCCV61XaV4aLzZ4RxGHXVEEmFHxRW00N5EOFELxMSwyOcXtqYXREtONMetG4QJYBQtBbTZaafH5tTqpy/q6Isa22755M7QljW5WSTUxATFqOjPxoRHUE6FKPQSHAJ65uy5JpDDv4EtS4YO7AIDHuMfBpso6jYO60viwvRIhi+bppw2CBd5BAxGnWqqWbsJD7PLhGvbullZ/6CFcWNXYE1eIfUjLwGuMjJYuFBHW2qWZhSJ64M4AlqcNUWrxwKSeWzjGOkuZ5hivTtjQh56goM1x3PIH0N4+MivH9h/XsuDUhnC3F5xwraYHFIuFUK+BpqAHEI2Hai8coIL1oeBDitFCApFZX5MDgRTLEzs7p+ewCX4jaRQ/M+he4UUIOMeHUfKwA6kEPACRKJuzgBYtaBOJnMuGw+EpQNOwsS2p43WkC8nMAiFJdzLfZbtqdSq1uBT6szqJh+FIU8MT89WYp/x8Tk3Z/CPAZbVdnt7YR+fDwmQZS+wSoMJLT3ABn86gW62WR+XHhLLzdWA6K/52Bpt8ZgNCWhGmpsgtByPp9iV1pHuin6nMRBi/KhqDoLLYb2vrBsd5dCKf1NHTEY2pKRa1m/H2VqPHaUqkmJ0r5kJxPtZ3bOw23NDDHW49nEcnDdEj14L+S/GjEuANt1sgKepIkmmaWbFRYMyRwUs4dmFTbPkCVdK2Vvz3kYaPK/mj4dR2c8JAWBq3hZCyfbHQqPEac0KlC7AZQho+gxLYHGYzEDBD9EUcz2xPqTlS3DfzV+bdHJ3Lm3Nlus/GY710IlDsgdCXt31+RvV97KBWfLHHxkzEmIbK7Klh9syxwENVa06hOXd1cZoiW9kBMk1vnqqifERUah0JrCqljTPwXJkwW0HuxIffW2mO3GczfjCrMsgTo3F6or7ysCc2WKDTm3ub0pTaeHggRhM2I7ULN6snlQJ4O5eRu4csMNXQXkJHpLGG3XDycHiGSfRRpO0IKWuwthDZUtocyw7APD1MZrI8xb1RKOEE5fjApQywcQOPQDi+CNZuV0i0IdvAYW/6M8AFs3l/q3iSCZC2LF3W3C99Y07oCCV5m+8MGg7WXv7stWNOuOvswucCpu+Gha/xI9uO60X3MKrKjiauKcLDMFVB+1g4D4YMLWGeFeR6PIiWVwXQ2okCYNkPI9FCT2Tn2L7DpOcZ+qvBseJWigIl454uR1yoHd3NEmEHX9elrgWQCLLtBFRTR3aaxFp5jeZyWRamjHoHxgKM0bv4NgbQTlAe1tRMxKWUZQWTbBgOCloRkIsWVUnomOH7nOzU/cAzCgRsHeSELwLHWq78dudXwgS+w59oqEM/z6W4K6YIVirKQ9z2kPCVK9RJZvJHflqGJmzEG9NuJc+MvYvgC6ggks1qCwI5HssEtBdPiElkmpahhBWOTvFBQHqDAMarqWEg4uqnmBo90MA9bcsdrz5zCHapoKuF44SxM0++0AyrDauNAHMG25M6qObMNrzDam2edAKPNCCIBfDO4yAxG9LZJU8rQQHY5SkH58rKH/GVDx/nwi8Tehmplrz7y8YBg3gyCESdc/yGJJPjtic44nEPEibMRx8Pa2A13L1V2xahJuNGZLkFsYSxCDbRlbHULoJlaWLgC7kTEiibIZlbMk48AsqGnjW2U4LfY6ZfPFRrRx8r7lAxw8HyhnEwcivR7JoTCo5f8CBMSpvC8J82JFGa3ca5dPOYd+qxBGtCe+JNGEyqWSMtAvDvWp2jtzlNLSOSxImBHZF9AlZCxWOYOqknsZ1Xw6seKtWNJMoRy4yqjLMKhLdWYtDts6mqmIBJoEsIprh29PbdJECiR8WxkAbRYJlNcQJBcsbOB8EdKW/LA9xHPJn9tqZ7gsEyK+oL7KCc06p2HfyAzKphzE0+Zu3iS5SfUbCqaEH6UgZpSvJBzimmSOPN4GyL1DJsW5tgRanpkTruGmhk6ApLKVdO2CwLzmrS8dOjg0Hqe3XsbwxGdOcbYd/XdJzyzbeaJuiej8ToZ/yG8oh+IIdWPmB6dY+Yiy5emS1tIMDDjVLSHEvY26tIIk5yGOXTr3EWq+fwUPU8bsABcB+pQwUH2S2X/5JFTAj6BPpop0K9Vhs7x+UdpdaLuQ4epIsdljTEFqWhZ9PSZEWEBKmZrHkOeIwMs3x0CJT7/w3wYIZts0LCQ0h+TZoq8Gqi48sIFS8BuEoQm7yIUlU1rqt1PCNAHNS5qkqoZuPuIbn1AK4usDDduGhX/iJ0URdwHfGlLiNo8VxWcAgs2CwQNacH1zRQvEbVHg2pZs1FtF9SH1FEYy7av+FygxZdzl1nmtk88CIyuHWsh2LUdAYRZrrsLFRVu4kksCZVpSOiTKqNuVJHZG7gArA2jR/sWVCYNGbyuJ2rcnwzS4FCW8qWTvoIUHtTVX6v/6IWHbv6XRWUfYMh1nEICB9lhJ8AmIIU9jj0ARd1tveAdJaIxyjNC8zK3L8yJpDD5yBHgl7YAKQS5X7+sGUuJ+zZj11lKxzhRFdkXxbSrg0ypHsmmoDkUZBCaSjIidihSJLKXuGWi08xalTIwSR8sJRhKp8q2lBbH91SnYctCUcMLi4TT4ZjpqIhsfomHIhBo7dsEe1rzlTiLIuZ6HUVVmifGIpMzomAYQbhmNOwCh2jWhMRxxKX/M5jAUI2IvJiXWSTzjQeQcy3intONBNO8QIhot7jUAUMcDSehn+DPp95u2eOzuge29ISp3iMlYxdV9AAdptCPk4S9hZDWemm0qBh0M4f0FuK4mad4C1bxUfpgh2LqIAgL2CTElsDmL2eUOHj0vabM5Iq+/i4T3PWobmSN3M9dXavwiNWdYIfOanvObIoFXstHOEPcRRzEpf28xTnfoOT/LKHm/Gk8jy2dnLe5GmZmAE0sFrTXJDH22dSm8yZcgQZ9bt7cuRUL1UzB4ImLkfmxX3gRD4VMpdcq7iOFzprYnwBZyDxJ7/1Y/hMSdI7cPkJmFkoeaOxX5zVA1hViAsJEkDBPA1qOQQNWK3UFkZqm5EFgQ2clPxCp0MHvGMuj5JSta0f0k+UXQOVOHS72zQinrotVEFg0EdXV1YzEHXqpH1jymzRmHvRbYzaJU/G2h8gZEMNCNwCaQ5qFfjq9vflkWo4O7pmilkCdqPsYUCWAM27Z++PV/WYA1HBcHYKw+qrkvMuGh+EnCzVGN+zrUuzRaAXBhUpHbDjwzpteyuMUFWqo3naGC6+fNB8vOP3YskOVNXEMRtDdxKYpbPyZJ5tKujJavcrMQjHkuzjGXBoijUicBwzOCkLkuuM4kCNZgsiv6CuwC0QVAduUREJZXeWuT3XmWeo8GLSeBKnVkqgJycQ5XZVvn9RE8cjk/B5NMaKOcVJlXB6cbWY0gOh2Jy3tzNZlSJ56RwvKo7/MZcpp1d4kenOxGtsP4DdLrQNMv8SRAnHaGMy1PcDiRfGp5CupZe39yMxd0jvUZkMBSFD+1pq3BH0mfNHegoaFnSbJN8JWmCwA+H+OCLLu7Y+wPjwCQl7e/1kazC1UfWJrwH92L+yRCEzfG59KLT8ecoAZx4N2c/hijuTCYywtm6hHgxZhbP7Tj2FvOTpFrZPNCPDtHwUVh4yWwGKZwPNGhsZaXszkZD4U8tlvQcdrYplR0fhF9z9lIbRd/h25TL4iUy/XDpgEXUrXjBqkcWjm3wxHEd0NO3Ffmi/vpYGF6F7Tjv1cM50c1Cq7C8QXzj+e+7mw13FGVBzRrwBWzQfoDkX5qDi3I6z3h8BfQyrDaIOduGfPMjk9oDB9lLA7libPdGEsZfT7g1XeL4Q2diZw6VyuDCAwanUuz7FnfVZ7pTmlDnGY1nW2AVxbb4YXedKQYglBUvuRKZRkZ+y6oaknYzHUzisXt5QeyVYAXJsRkKgDXbKsCW2D5rxau6sj9loQbSbw/72dJl8UhOoTPhyv0raYI/928CTWAYANXbOI2t0I/dn+TbI3h4JEa4muAusnVELPeji1Xy5HFSPYnWp9YQCUerT8+HOmicuKY4n0CPQXX6FS7mkxMmuJCW2S/CD5rSrmokAdI6H2GjnUri+PWOHRUYmwOKIV7A8ktgY+oGpGMPtho6EXS8oja9ACYSOte2TIDOcRh1b/F5FFrqNrTer5F8HEqs821vk+Wh8I2/KyHDqHsycA5533cJ9XPWRxMGUZfTxD3M2ZYTiRD2Con3yroqVbq1W37Dp1LnIlchJozmvK11sC8CVzgGyEmopHzOZyQ6VdQEs1MDL1AGWHaWA2VaXpf9rApeEIJ+7w6kCbgBQp+YhVwRndOvxPxsjPHh/szZt0gBHMq00ItKFdY1DRZ6aakCeZobwfDBfDmPb0Ax7POxZBWBY1ezzUrrYRRbvrm6pysbrrBG7BycdREtTs59X2Bm2Smr18bHWHQM1+Ow4bhV/+ls/ymGXTEowZAHtFAP5a6f+D9EigeZsnV+M/k0mtH2YfYC8Msj255u/FxyVWI1jyi7yhgOQq9pKhyLCY3fpPJzTwW68vVxMVBhHVW0f0/9T6VtByRgEwaNcfxFpYiz6JdlzpjIuNcsVZs46cVwl58N2b0KZsDZp7zaK9rvCEYoajPOlzj2Gjvm044529hp00YxHdZNMTVAx9KBcfYpY4ZMARhnkFgIzQZH5esM3DYWjlRSwmSUaPtdUQWfK+Ospn4J3lcQXt07CfTryKt0Oucpec65KVPYscBk12yXnE6MH6x+7HHn6SOm4nyMwTIB2qhekpSWVaVqFeZIvRWg6jkHXmdt8WbD+As5QRU8Yhzh4PFNcpPptC65kVctTBwIseJzHOzX2SVt7csPaRzFK90BwAI4dzIOcDC4jD3w+mQksD4tzJ5mwDlmjY5mI+ATINFv4qOK5nL0z5EOHYCGyH4mZ5RzZTTcBvmmQkkyTBdsV9stLE4OQRTKN7aJvYNqjbqxta0wko6wTZvgEZirclV44JQJWanZkp2P9BDJYlGY8aoAeDYF2n6cye5gTaUYBPpezZRWAx9sVSeCGWGdirhGFcN5qNHyA+wSJfL4nD/oKS7zlwkeb8jmGBQ0bidxlLS+mormsPHIhyxuoUqGnzqBsrUaTrB2jcakurye3s2/s8eSZkQKG1zUv5HW98715JJy58XZ0j8593r3fFX0RKDZP9fVScwSi34kvNNJR8eqqLjZfdIFTDVbX0btqhO9FPHdjm5liBAiaLnv1U3P8DJ+pj6PEzKjOqHMgTtyPfL0rj9Vfy2j7yAr4MaodojAnmrzUzH+r9nTILHdUDFJMX7OAY94ocsRhTrQDN2v/PRYl5cZaUeFSvTLShJOJ++WkqBV86qPqzrV1XVD7kUkJbbLEftcbh6xltdz34fGMUb0D1ZQDl0V7noDDFxCgbMTDeEpZ/KpVZMBVDlLEiNogZ35ePsfWe2yXJrP521VdKJjYWSrI/j8v7e29KbPzBCmy5unMEC6Qod2eWzwP00hG/SERKOBsD9M2FQ5KhDs9QE9NfzjRoGUtLuCLlI+xelofk/I6Pt3K3jAsaLB+dABGRJZD5chwwqIRgH0RWp78wxk1iXuOIXi5NOq+uoipej71wKaAMUsArFebwKmuOkLNTFmZNXOEwvvwvOOceVccuDVQMa0j13VAs8CYXqaNWZmrSuT9ADEGGgZDZjho5NegWKPD7S5P8p0VsrSSIy3i5wkJh7isidgi/6lJmZEKUEdqZzmryrCMPTePa6/10U4wnYj7tzazMaBiRLUWstyP60gzkzvsNAh1rWIi6M/VuO/3GCW3m1fBnLD7qS+uCzif4iBf/x9RVAN24FdKKF2s+2I1p6qaqq4XkPUOdC8kmCK8IumAqzsDVmG/FKQwdaz+yF2Eanq4lqwXxR3NZ6EnbALNwDXqVAxzFMKpQm4rSMW1ZrH3QgXtUANeMOcamtnWVEPpkG7b0U4AVo3l75pSY5K8X1zRELLZntcx/tyQbDMvCITpKom14xXGP1b5NVLYUIscPk6jdx/RwiWi0UcocfpE523lsBj+IDwBhtA9uApj3QjWhxCiUxLCKs0+cYz9MzVpffn3jirMM0sbi3x0RGpV+Rn4gNuXoXdA7xiVEVbJ80J0bsu1D78G6By0Jz8cTkzs2IsrauTgKoRF9U7GoOcTqcU5ZHIbyGEh5oJD9532c3+Ecpq4l0NcHtaC1QzcFGQZuJ9AOXW0MBkHKe1mIzM7FgCNCW2UpcA1O+zsjyftUPb2tH2EY9odOGCPlqNphhsJswthGb1KE9o0SYzdY02/7QW5YNuSaYBWHGsv7Czi+DqnJvKBtBjD3UlPh7m/Yctzk57uQy/q/GDgzJK5Vo9PKPyw3d6xt4ooNwzy5B0cCmf7mx6uTs8gvAmwbkyEqNky8dFXpA6NXlprRENBNvBezAwtW7ONsg2LsdwNm8etTQCQtdRSyNy0NJARrv0OS/zlW2156yrp6dfEU3I2gDp8lZtIabhydnr7wU9Gfcn7mzCNnfYJQMKdC+mZlzQSoMCG/Cu3IaRj0l7V4eByExFnGThmE7THmI9He5Pt9GVvthbSIK+i0DKJO9OkcL2gb6pZN77FO9/F7+a7M7quOV/wqx+9vnz58vr168sXn7748suXF9b1Oue+f3W+/+77+zOLfV94PXVuzdt5n+/n83n//Pb9m+6pOZq37zXXp5dP3Z/6ui5vFNPnU+RRd8/R8FYxjY1L4lWj235p2lR42SEqUFMRN8kYaKZDinqZVRHSPHPmBrIAVWhmtBV+YRljSq8MPwCcQLJNuYwGrDNSwD2fszupSnOAXYoz+c3FX66XY4oPPJsh0bAp+qlKWawofBFmxaLnoTpZ6mMHqEzrhcddktZtzpQiXlNv8JaDX4vi/GROWu65ZjKTm0yTepghP4PUHDFcZme2B7VhFMOMvOXLV+Jl6rfOrSbUDovUpk5RxW4DOP+NTofDlYnjCxMwNKgaoOiOkkhwZniZwDiOKQnGgK3EtkLzHuGPbow72GyjFIYkmYcZsUdlV++1rx+oC4NmD1P1xDY44WuaO1VgWxuHqn3TUGt5lbKYiSiqOI0qowDeZJuHFYaHWT8EHTVxiKpSejlVNlgTMJgzdYbvGg0O5qCcFc+TMVPahUYOZ+yKFxvGKtW17E1iXc+HkMZ5e+CVguYIUiAvvaGtYVkzJ68rqJ1IQY/kXSvAns+InGGt/RtkkD9E1hYpcJPP7HzFj8UOoZml9HFNCeL5/btUg+PEYesYnOFufUDaGjxGo7MZQFo3Olixm44Yn8peJdt3hXLjU7DbooAjesSqBsl+ASPQu8wa6Khamj5TZFeX11Bl6yEhxcY9tcZkih0pweGJFcM9mhlnAg/KrQv+xs9+7ARZnDl+NWtVAMP9VcmBDwJOZe1DWW37QQMH+h8+nFcN2R5HjTB+77Hs3EKfBGdJjw0XyJKHkkbl9TcH9gyyAQ9Pr1jd4IppYXgb1qDAU9XbPFsG4xT7mR1zcl4QWGir1m1XYbwaUT3ZOutX4WPhzVr50Uio5a1Md2zTwM1Z3pw68LSuyLnnYDAlhnpIA1kwcwmivMwdoJ9gs1GzO/p8mMJk2nFWz0d2R8XBvtw4ghUwOKhL92TC0k8n/Z6goLD83uTi3EHtlDXCCWuq4hBB4yjDGg5RjnASbGBrMYX50im0BVKc40Hr6MThp+y8VYmuxzZlbdknCxWziCGubR1MEeck/A0Q2f74XdxDgWfm45oJo6kuHql36GIrfvPK4b7cH/IuEuZ+rY1DYKqpWsc0JhrJxQrGQdnWxTycGpANQrn5PvfUwx18CNP9PX2CRmACygT/Kn87zL/zYnCsgmiLKaoDXJyYxY3q8IWlm6X5FSlS8QCSzZcuqik+3DlSGSFaI2zkwdNsCJrxf3q8Yubjj9I328lnRTd8CLNE1Whmg+u5Xa3VTAmUy11u9gmTtWEKsH3L9mFTAHwUK1sX+2dGXh//5UenZA2Ab62bAzY94AewMm7absgm2ijKF4Vui+WZ6sj/huFLQKt2mwPedEsBna9gBshbq3o4BfZIFyW8jKVbRIPHfKWHTi9effrt/fu3+uX54rvzpb745vWn/86n3/vdn/zaz77++rd+9Bu/+c03v/71j755/fLLC+TMffqat/N+3/fbeX8bTn35a3zlpy/6eqn67u189ze/+sUvfvmLv/7813/987/6y1/88i9+9Zd/+v2f/eEvf/Xn0ndXzeun/ur6dHXhDEfvVJXOrUYVeYhrJM24cuFp54i4HsD/R3YsoVhWN1N1J6vPllS4w+cKqrHFyNSk0rDG1wxhb0vL/8cP3sU9Lc7KqK7fZoxHKMp2ry4IDergpup42hvHmya2UnTUG7HSgE/ueFL3JkIG1DzNLIT5DDNppF9mf2DnT070QyZaob8NNvyvpceFL6gG6UrOQWX0Ji1MI98Kks1JHnUR4Ph7UhVh5MPxLl8TgCAra910yZ1yj22ifVzjZfTFS2LjqoyythRkr+cVGFGYRjnpJJKPOQQ5g5K94BRKKfOVPO7qIi433AeB3FefCLtuaYlpwWPhB7ro9vuUt2un7YHkQIBYXxwXpLwkV7tHw6v66BA4g3BgQ2EshAzD4dNYKMzFRum1UH152qx0yEtbYS7jx6WNCaLSsxopDdCR7ltncAbv7zicY0V7zqSe6FoTRwPXTdUPTzZw1m1xPrYL5S+aJx8LU7iCfyPtRPZDIRNSU1NTu7Ail9FgMgmMi4ueuXmXORrRH+m4xakIv1ghopRsJhxzujApLUGYp5s+h6HhkQFyaC2NajTFOYYXzhZLJiHUWFL9/peW3NkmhwEEQ1kxXT9B7h+IyHLR9DPK8w5BPxVdkp53bDVSsYuqqgtqsi8PnRhH8bI0xrnt2NtWu+TaJOKWqoGxqO5tCQosDPibP/smbiK7BRSe7jd3l9bJ8S5La8PhkznjWrC2fxEmnVmWU6OH8ct7qNhf+hBrYxGXg6/SmWpmlpaX/yO/M6UVDhBVmANwCped7giNle8xdSCLQzYO1bM8nZGw5d1Wz43FtIgzhIJhCB0KYi8usI+MntcvVGZRlqYEoCPo2e8BUEP1aNRboZ4Zcch7jvXYB8TYhUb3nK7uKsBBR203clb3MHVMJEMPihqJjsK7aEKm0DnG+MXL6lnusGaIpF2ChCJt+MK8Dbrj4stsCvTxtPihj8RUJubSsTsn+SasUvYQGs/yMIh7WXsWPS1ZH2Y7Ks1Rd0lrYWfsq+BSeKiDtQoQERrVBdzh0+s+czCSznhNaVod9GxBNUyUILrTpW3cUOPoznVO0W+ybcf/QULmn1wv2e0KS3wkO7nAx9jOBGmkkCEjQyNha6sIaQpQ0U0yY9Rghxmbi0UuiFKNNw2CyKwwErGc3pRX4BorKiIk9ByXJwkHEvkodJbL94/5AQpe1C/xhLL1l3CCzrIjF/qF7LdeLOVybeeC/A+8iW3Iqoz/G7yXu1pRGQUpIVpSOczvN3wqjvwjl8WcGMY4Sfhvl0O7II7JyH35RdDKSve40mMKk5ELsK5Gmwj2qn+UAJHx5KBlWH9l0i7M0xkCyaFBktXc/OBuKJfxcNOVcTAlhfZA0fAqT0xPOTiiUHw5A6C6bgzeoC70ofRWb798u/T6zU+/+Nm//+u/9w+//s3/4Mc//TtffvPb54uvXvj6ea77/e0zrve6f3nj7e07vd1z7hHZF6fYr8D0Vfiqr68+XZ9e+/Wlr3opflH9437H4PW8XW/ffvnn/833//pf/PW/+n/++R/+13/yZ3/88/tvpvr19Yt+7/cLQVozN2ZQPSGtFSc3y06HmlBzhvgQ6LGjmZB+Mxi4IxiRnMeJJlAVIne3QwhPcXlsTfrKciGWETTt036IcUElKya1W9NcQdbzb59SLq0Ist16NYZBqLSccsyMmDq3scJlUuewYYcSH/bMZEcdRsew3ES34B06JlyF9tQlnmByiRPc1j4XO92TgITIiAjEwJiW1HJ7/3qKWpQthiM4jcMhts7ergrD48hNRzazuN6tabTYL7x4ru4qsb1FnBFr5hKm/7P0B1zH1SJRfwMrxbODfAkd7cY+PNM+Brjxn0g/0McmyibnumgTxzzhZUen7GsNbblkm2NqQacWnCwSgOSJosOqGWpKuAXMkSk7YaS2dEhAN14LqLnqpeVVaCMR7cWdtr0KMaqgJq5OTO6GH0A33odH5330fnOg42Xxtq/x0PzYJQgtOwTw45HPETonkFjsH14HkVzhPk8Mn9ie5cXVsiISmenolZZHS1Z71yPEk7bFgY8TGcysBd2+koMpvmiM5S0k5QLACHO1iebDgI5GuCl4tQUxuI8yFKWxkK2r8dj0cGt9bGuPnhlFEpKCQlQpwOtRySau7+dDcOhSWog8wHt9UyiDhKgGgTpXd4MX7y4jHgIZQ8/vh7hDNwNyYuqze2z8oHUpZXOuOUCIv/U7v6YjZ0Nw3IlCcSazFstdIPsC8ytNXEfZclzJbEEbUy4Xtj1rk5YV3RGIuPSrqBCQ5FyjO/Cgank6/38WivJytwYBY8K020br6OUn4uEFR6TV7k6px4P8bui6Be9Y4vppXP0THPFgqjrFEaBDePhiURvnzvZsFKiWMqpi/8RqzI0kmeNZNNx3WpqC9XyLsoZCBoS4Q3tdVQJb1SiwWaM3O+JBnA/WSgpJUmZj0TZ2s64yw6+THZSIyMpnMZA0elCDSwVRZTzXZ7PS45WbQv0UwLVQaGnZXNcnI0Wy1+nnumPHQ3mgIF88hIqHCQPmNJqCh1NFgun7gY25sWjUl0BhqQaDmjkCZ3Cf7D+XGQxby/nrQVyv6rRzH5HJ5KYskAyfH3zse1RuBuJoAUDCpZAqh8BHiei2AJ1c/ZkRtzmXwpK27Y30rLM1m0K6K/5j8jyCZUj5+olpZoVS7yh4RlCHtke+dAgjuLg12KE8qpxD4HGF/VOGAM+my0UDmgiYI6pJ+ELKFoR6jFbPTx3plJAz6qxlWKRPzJmumjPK2Dd6C1nC7ao88cF0RsoVch2JANo2P9IIzldHANkD2XwMtCxmhqyXmQjWYFiMFf6n05uXnnCARQCGa1tBs4YxqVA+HffDAI/hipaABqBy6OHcfV0ztPcuLAOkal5nuq4kKrywRR1gPn2nd/Trp/qMua9P5+UX3//yc32Hn81P/g7+3X/06//wH/93/+7f/62vfnRdPb/6/i/n/eW779/fvp9b99vnMzffb+L9lm5Ugeq6SHXH2f8qdPXV/crWp+m6Xr/oC/XyVb329dVLffnV9fWn16sufHv/6V/+2X/6+z//b/6LP/mDf/79X/zrw7/45kt+89VLS9+z3t7q87fXdIu6SsL7V+cM3w9KuO4b6BtEx75Bb2cMGBpnRu81bYHM4Mj2shEgD4B2595Azsq39JrSixwROobeYfyD+l15eZDA9l4hO7T1nFmTAgNxHUCOFaoRt0VYUcpNMncZyXH8v0Zx6sY2lMC1qk6r3TdlwPacYmrDABORLc0Eq4fhcIM0f2ZTYiH9qopLiGYDNQcuwZcD8axTUbqJTlYKeeu8bHSRYFuPwcMHRc3nZI/MCdgoJLQru3T6QiNzwEKRtzGBlh3CrpcGDL6RPu0mYBNqcp9OXNuGWSp6ph6LU8/RcalqMfF56eBEgmSxIy+aTGBmpUyMyTgTEI3BTZZcRR0NyCvrlzKhMYQmC58wUh2LOUMJAEK9sIEqekde7CJd3AEQYYGfmRUrpVNiZJJck3d9Ru/veufocKT7wFX0ctp2nqAJTGVG2hlqIlo5qXIYptHQIsOO4audeFRUTL2HbBZ5y+JSiIqLozO3M1fSLoAiTnKVX2aAOwsH6zFCMykr83sASkRdpkQ0yFAsc7tVNkbJsU9y9MdnbfdbjtVUNj5kmsjY9ClsDZEkH+KdSE3uff5IMJwr1ZLsjo4dL0odkCrEhSTySvyXxHilWr+2PLbEvl4oAN3TBYJFvLrINz1QYz/jpETUpezN8VPlAA2i/es7DZgRiz/72Y9l2KK0Mv3A54oM0vU+d03D7gygXLZpws9bS7P0bJgzFmooysqqzbq22FlyFTslQqO81YvHwYSgB0KiuaI/lkolk5s5Tl6qPUyfxAtZAo/x4IK99pVe5FCsqem7cbncgaAyDkD1Vr9DaG6riel2yNih7FgzcAgSPboTnWQcKEoZSxtrkaVQ0o5C4cQgzgG6CgO1LoJ2bmtdV7GKI/XUpIrcheLglNoFTADtkS4XoLl37lHrmBJ1eLL4Q37PWAoMUO5KOA0zDBbDng2y6VQb8Cq0fNQsD18wA16wCNdCVUYDeNt+OL9vpon0C9OaKPHUFLAj6jAXgp2p25lvf8Pof6VdWT+avqU5vGdkC+xIGMNGu1vilZROkhpZ+p32lK9P5JuRbiCc2+JPCmNBqrnfk1Sez4MlGKGqspvjMm9hgv1ptlc2TgzaHINwgcKwYxUJ6XgQCT/4SQYazajaUoZ7b4ExTGy9E9CBtOQYzmXGccRw2LX5jj1kRiWif0r2nhCtjc5PwHhzEFZ25B6ziTV32j78nR0MTU2Vux/x7k/IciOXASM1uJlRI0C70YeBGvvA7LfjZ1Hhf0OQhZ9h2qFbcuAHCM8aDFulCm6zSdUAW1GmOBOkdqh81SF2qrLMKKUL53hGhbVIa4y1Wg+zrQPxmN+x0NXxvIqH9dKYQXej5RGMBqeO0Bdf5r75Bc7LkaYPi19db6/vXW/nF9/ir/B6/+S3v/k7f/e3/u4//jv/3j/62d//Bz8GP//iV3/8p7/6xedfnprPeP/0/nnede4bGJ23O5u36+6rXljXp3qpQqG7iq8XvyevUkHvN1E4xUa/8uqL+KLO68uFb/qr6S8/ffHjL17VL2/fffVv/nD+s3/2X/3+P/vXf/Kv/vL+a+nz62t/WdeXr30djXjPeROJS/g8w8ZdVwOfD1543zNmZjGwuZ3eNWjUfYbknKhmLCYitva0A2ZWYIxdkE6FGmyVhQVJFVGs0wAf2+gZxPIk4CSVwJLLu7PIGnfQHud86mMUdWKpXoHGSpsf2IOI9AcUdtdqhUJkeRvblAZSwqtInh2FTB26mD6UBtfV2BAVysXJtG1ytsNc4rwlIbBRoapqFnKv684HToMkdhqsK2QgbPSmh2f1NcAcmT7wR+NcRDVeq66LS1b4wuhwarYkVpiCSmmTCgFyKJpsajF5phNvTCLjPc+7xFLMadAu+cSF6b6gE1jLOV3FplknOmhZhGsDkYbjfY1wbfwJ86USNfB6X5ub2whz1wOUe9Uv7v01nOGrRHUVmNaACB45kCJyBT1uNQhYVL+fI837kcS3G8fJydVxzMJMrNsuKN4IWsc37VgkNhlCkI2gXDxXuXdh/0gri+E2msTqWcbKHoZyAzcguT1p8XTGXW4sYnT+JNvW3OUa26hzdeeMZjNdD5/d8YrqMcg3cLIwczyZjO74NceH0XVP2jz2vCoTNpHBfVRdJgiYT+y/4+s1zsXrx5c2NS03c1XDjRepNDzBaD1E/mktP6QSDlJKJbBkmAKgXthWORXZZBcaqFLDvllqrsmYpbzKmiTfwLYA6gr5kAwW4Ej+1m9/kxcl1MeHminydDTD3rEMchDJgOUkaWIIqMEN2tdVDxdnXrtBsEZn+WCDJf9VPSyuBQWGlNEyR0WQ5J7wsISvQAuBmjVeK+BB4SkWy+WsIJsYpWMCtDB20yl4c6IEaXDKztYAqC6dqLA8Ki1oPF6iVDDhJI3yVdRJd2tAyBo1CFkadRdhxyKlzp6zn/1gG1Us11wTn+uORoC80JZG+X3rQ6W5mGcG0VqvoJwl6EpzPKWra0BYftOY+ajCSGKGKLmIWTkVYINFv2wjNDM1NQv/Q7w6PRzgStuBoJ2fPRsnfwiTDjVnHvZtnTyjWuJFiE2+Z5WspUI4ZLsf3lk9gQcqx2XTsXsGdQa3pOFMzNjJbfTtkM6yrg6l5ssRqzyGmhYsBplnzQ/XDRJYc8l1S66NoCNP+DuiuNx9CLba6NPbnRbGC9ySyxxqCt4rIRKWoOUEPTy8n1g/SiGAbj/hyflhBVlYA/OHfw5CdQvTpKHP9/6pBCtt2sbWesvXIzRY/uPZkmw7a4uwPZXi/pEPVhhamGlazKUlCZ5myjJprsZySkjw6BTL/Rc2tyWZGdmxpXjLWDCAoBjSTYMIAvJlKh0QzKBjjC4u3mdnpNDXzv3WoAckW4jVhk4mGBFubjUFqx7zZCvJmG6wUMeLSJsPVcdSecVFLlyjTuVaz926cIEv4sF113ymXkp8ff+174c/f//F+fq7H//9+of/0c/+0T/52b/39/7eFz+ub3/5F7/8+c9/9e3n7z7foz5v5/191Ef3zJuE99uGEgVoqnldr1fV62u9dLNV4FWvn17urquq5saNOXPeZ1DDaT+/Q/XrfPXy+qNPX37Jqi8/ffPpqx9/+TWgf/uX3/6X/+2f/Yv/xx/8wX/+qz/5l+/nb76u88WP+otq4vpenDm/JK4brzyAWnXXkVUHJ85BqNERPLqXYGEcMSNijpoOOKNBFzTlCeH0LnWEvrSclUJVCPUY6eBp3LsIJVx5YgaVy6TUsLKVSriclG6Anl3xDkzLImrROBbW4+ktKXFM3lec3xZmOmeCmyXS0NpCAEv3OR66BCAjFILU0F3eqHfWA9GV/Y4sKMk9JL3DWz1zNBmY1Z2+yEdjj3YwszgiaCcr6hCuwahmTQ1cR5WA+VTswgvJi4lsBtBVGrWrulrL2icgSOeDtA9PEpbVSFOoQkbRXIZtFAMGaSqHYd20k7ATOtb9LmupKtt3CviBpU1oCn+52PtiyRcBLQ6P7dqH1n0Frp+RLxTbdFU1u6ubRNzIy4dx+82LlX1GzuqwanAwNcIZ3jpneN+6RxOmB5r0ewmA1Xn9Sg4wFypvzHEDAWn8pmQ9UbQyzDQ2pbhgPPKovEftqRrbMBwsYKC/ikgYUGPgx2eyB2dYXvow9oyEZM+y2lUXBOnK0BG36BPQomyev4nrCdFIY22ZmE1FK00+iJn8Qm3f6YdhtCp68GzZdXIsD666mxArpq32F4vEosbtu/SMbdtQmfPxh3p6DP7p1s2k/JoHgnRYNhS7OfbOYsE3BlAhKwb9kCsjrgGJvra0THQ/lLQuOj/7nR/ZhAPrFJ42XgmoelD/PcdxKW56Hduqw8mmbWMg0uMp6RlFnOosfiI+MJ/hfFw1MEPshtbN41HQQpsBMbR3WyjPysWWC3iqpiJdtAgOgTRl04gd1Vt0N+TiiLRZQAGtOexiY1RaPGBhnXVLnrppARo7DWj3XI8dJ7EczwHtLfvEujtNExCNlXJqFj97BPejMHMeKMhu92z6TaqK1aZXgE1HA/9Id1fpbiNbPdGIp6W3+qDyb5Q86zEE0cosCCCdUidbmfDHI2YtmzB6aI0unmvt4jbeTwnLxZJulgBDXg/xq9QrTljOUx/Dn5kIwHpWC5KqGbrYzW2bLW6n29jOwj+c+6AF3SdTGbdb9u4FcKGrmByx4/N6Os5p92OHlJ0t+SzG0LYJfR8mr2up+HweLk9lA5en/1ecBEOWsSbI0Sm2g9cs/rcfgmvLba2nYnBc2+STR6fwOWkiV2ZdP6KT4vH17JEIANl6eWw3m8nuKk6MJ4LOB8WsDiq/mkhmYJJpiH5c/JWitIQJjg0Z7teqCfbCY3J+iarS3L4Gy8vqKEkAIFVTMf7dGKt8FmBpLGSnaLqVQVvqZXYCGsZdTLpsCznjRzlitesit3cNT/ZxSoS3XkiL9Dxl+swGjwFVegpifoh/CrkBVwTQbW5KNnQwFKePRBHCNURVcWZwdetd0GQl14ve5u3z+fb9b7756cvv/fs//e/9j3/zv/8//3t/9+//9J0///67P/3Vt3/9/bfEmc/f4tvPdd7uc/SuATFnhDozVQ7dbKpYfXUTfbELzcJLfdH92vfL65cvnMLLzXPOTFb4jA7O2/2GOTj10q/9+qNP/dVrf/WKT32++OLT1z/96gv8xjXXH/5h//7v/8m/+Od/+Ae//yd/8d/+OX7x2uer19evC+e6v3jnd3iZbp1bPDWgqub+DEq6ytl+vI5q7lASADT3OhmQ5OB9huTY6cPu++l/IV01AR8iQAkHuBY/G7tb1+YVK3Z8LsMcHrtWBEbtQPnBygBcHm6XEvmcA5T1CYUoiVU8gyvgXTC5PssdDnR5c+1SF0uVeDu4Py9DPAXIxzUARAaTUV4/ix15S6ReRMCUPHzAmtUaQg4fF+ATDm7p02/OcoI5/ubOqkVNaImqxHxKrAuYoti4gKp5vdoCgWWZAmVatn8X4KlUZM9S7mnVOWMQDMRrZEmxD6hajFqHR+hJSo3g5Z65skMs5QFxiag5iAmv2CKrFAPiCvvDYDRDl4yBhABwfNHR+5FoMtGD1J7+hrzrV2hWX6ieZnVWXNcU7AvEbWECVhJZqa+ZA4Eo1bnf8H54Qxq9HRzhVhVumS7K5KJ9O7stBC7oMC9FQKlZOoP2likkSv2tafgkgWSmrN6KusLKEk6zlKUNSr9cuUsuMwuCGnHIT/40qW+lgL9yBDnByBV9ROEaTpCVIO8wIGUnGrnbYsATZi8NtQx0IFpaVnqFStspNS+ITOczmPSHXmE+TIPcRWuFkMbAbIR3RY+8OAQAbF//g0ZFXIzTPYiWVW4s7FbUdQootboaRTVZQPVUscGCipacM5MeDHH7wyn64m7iEGGOpAiAv/PbP8aeNAHgNGp59miCac/VyVmPc6MPgp22/dyscUupGgp4RTxPTxGZN7KsZ4R4d3GCqiRV+284sU4oGGxfyA+P5GRCyDx8R+U+kBf+cErXhDc4xeZo6nSZTQ4zVxD6gk6N4CELjr2HdHBRs3OI4SIeaRxtOVuP/gRigL4RgwnCjKe7cvIgTpWk8TLX3DJ/4x2ppvkfTLMFualjJhxtX8ACm7zxVANPKvTDrwZUR4c7l+nomM1UEMETa4Qtgm1sU9nkEGMZw5U4PaX+QvghQtqNFy4aRT1z08gpn9mfzye4yLW2hzRda3lUaFOIg8vwgOg0orhcWYJ8KCFEha7RKUjUmRkeaUZC3cfBAVSGkGpmmgm2YogLBPuGQsDQZ1ZBknmvJtxz2Z/52Id3SLmo7TAgxf7ToxR/cC3zdBUA+gHEE5/CZCCUI1k8R1Vh20E6KgHKRriQz/pgnYH11wkLucq9lD921VjNYTBFvOXCFC4PlRZBQjWTRwsb+s6zVQQlqNfuc1K+9259H6DOHFbyqYfwvajDXQKkUnXDbyu2p6LJ089TBYaZh0tciqFEoYSzlj3uII9tVStVh2Ps9hm2xvIDdtIgrxQ4LqoIZnbTZixIKe1olJybjuvT0AQANP17iXLHFDVJN6gsofDX7SoVDvvFNRbPUF2Xbqmkl37BqboPXup8c7+d+/Nf6dP71/+E/6P/+B/+T/6j/+Df+dnrX3/753/zNz///tvvfvH9d9St7z6R/O7tfpfw9v5+eN7OvEi3CZUTGQDAwU131KZBdNVLvZKfPl2frr5ertdmo9To5E1q7ve3edd5P7jnlNiN15evXl+/e3n9+sef+uXTuT71j7/48uuvvvnRy49f8PXnuf/rP/qz//I////93/+Tf/3/+f1f/upP+/XzNz+eX8eX91zfqXVLfUM3eKRLN2KKBApHGGFGTY6buPtPIuBQ8uqZkAwqzTyClh1JTNDBVu7ouBEkX/tqesm7ZXcPanFcPbPhiFQiqEEolDI4R0WCD4WPmyRP3mGb2b6klYOXrErGZSx4JeFjP7LyN3I5zU3Mc4yfgiiIx78NU+gP94xgSQq+m/wgBeKqSeCZ7EvJ2v7TbfWQ/46rLI1HWXwvDtgxLINI3WRZL1Q9L8WLfH0JEKIfdfFU8bZLdtlS6AcT0+Yb0381m+AIVZA9fYBM6DxjW5JtOOJLGTkAIN5EmVGK4EMtTXFYdrBm0eDCwGrnqmvnPt0bcjpKU9cGKTXn/X2onAq3x1Rsd2O7CsRrsS+AuAi75nnQNzEJgKaqxu56Axgt42hqztzF8/ncw6N5V43OfSfbW77lJxOm01AtJvkrkTCL3N5Rvc3WlMQfLeRg3pGhbGgMhzffkQZnnzsyhnHyJ3NwXbXB4yhCoW5MFWd1lKadceaGqeL9X9+e8fsdeahw2SDJ7RanNyRlLvfsYxdb9qRN05hwq3Y7aDlIYKb9U5JHzfZ0PyrdaoQ/AqyMp6ckkd7ubZvW1IkbWpXbaBoxTpexgiagQ3X6KzOoNDmK02LxqhJKF1itIhpkFr873FRs0TmFiF6MN8rmZwBNED8O+L/9O78WTBQ6xBGOmcjpy9tQPlqX/mOBPAYASMdQA7bktWoYoZVRZgYRkiRORFkHjgqEdExUBO+Xe2oQxtsxsPlUC/hDEqfMMdSWCeRYTPnyPy/SYKXUnss3vqkug2A7KJ7azr223YBoeXKm4SAPktRRXzELsrCZw3u3EmZUggWVpAjca4g6Rx9DyBFJlzirdrJX5K2bDAeh6CdYRdn7G6V+KsycnsllLOsRLCkefiiXYHUGxdGjn2GYS7sW7ExsrkRFByECj+heOEydw9yhpVTlY/GInZ5Gremi5EOfRXkqi/br73gTIMPC/tMjyCuA+RwkeIKl0qTxzl/fUQoHU2cE8hwd1TnnmAUgy29JhyknnRpUtjwLhZzH6DSYhoyC8DPZ6stPcUrhMMIbPw4TQtiavTj58IBs3azmSt1djHtc2O7nMBmRdQz44RtwXIt63546m6f9VAWkzwZkXZkLQqJ00gxeZRiXF8k9CUh4HDRSwviqhe9xEbBUIHbAtUKn++lFC6+lXoI0gmsQJsVbXxNIjRlyX80LBZH6BXDoyRhMehwV2ZMW5sR7nalBanh4gJiDuBegJMJ0FFJ+IAjF1K3v/iKbCn3vZ8TNDT8sGrjx3RX1mom4ltiQ6R+RZkTJBOCmofCp9EVPf0xX7Ty6eLWIqpGk17ruar7c39/v3//NL7/45e/8g9/9n/7H/+E/+N9++7u//ju/6j/67q/+7Ntf6fvve+4XvX3+7tt5e5v7vL/rxpzzrvvwE/T9C/pc3t9D8eY7xutl5kTU5rEyFHGx2cVzX90l1Ov1+np9cb10cy7cn8+Mzi30OeLLy0UU+d3X14/qtb+6ri++4ldf9jdfffr6S5W6+/sfffnrxd/861+9/sm/+tX/65/+2//s//rP/+1/9f79L+6Xr776qn6kwvCN59zzNng1YUGhhTNCmQ18vEPmHAHxX5v4hAA34CnsXUOcKlnl/gcyKQhl1t9aOTwZzxVAxiJTEZAkd/jWPUjf48XlxuEeIAq9tjvbfFriWLBny8cqgYcLKInKWEnaAbVqzK3MqUymjjmbRCXI6lkbtbMkeiXVZnq3rn2vakK5WqzBNf0wA1Ns2kHGOj3std4CJfxFDdCc1b9FXVnEmZxpLWk4Luyr1eBL96fLtiOwbxjVaiKOGiEbLTlfn7Ia6L71lGnL96Zby2dUqfcfIUVTrjIk2+t4ztlfQAfVkcEyPFQnQE3BU3WHK2Xf3p2nyHbSXzmac6zAT7pLslqBOInr4sWq1uUdb5hCG0aXMqDoLBe6UpJ75Z4vFe573sD3z3OLt3DfHkRHidVO73W4SFoCy8twWZ0Ntgr3l0p1j3iqP+lgSkWPfnrz0BT4cEmVmzHQ5WXYid95m+nbYuiZsadp4NfW4iz/9YNugUNlmgYRWg3RMydgJFlAe+aBH6g5NxnTClosxCcyprbtNAY5WqOXWV1TPDmj+6tS4OfPWBfgRO3ESOl2yA+l73zvop6qA10Zy+UZoNj7qGSJGjMUaR27cVTywcBWZM0uleaqKkw13A3ghRqiU0VXapic08G0nu5dFbK43leRv/O7P055lowbPI2rMOEYpkhDCk2m8t2Nas6Zbdo4rnDuUUWUwAwFVqJSNAYhUy1Y9ku0q2yeN8ZLWLl1I1LTb2pHuA4NZ0wwPCAhyG1wqgqH6jiXym40vKmegJ/MpVzyBrCo9Monx+04HbExZzDs8rz14sTVsKw7DgY3MvgVFO2Ubx2lA+gAHrz1o3ghZJ9VF8/MGe4ZEDeLMVDZ7HGKXSzguBdAhGH86BCnvE+DS0KV2psUjKs9tY+HtGpeB6c4YEOKlsVTzZ7/UJShvpDmmwDZYMVZoPZEkyZBHSRNf9R26CCIXVn25DzmadKHsgKA8fyZ5NLVIZfgzi7h4dUn00S+4oOByu4HQ81wRrfSAnff7sw0a3z4aCVPYSOBQ3/EOlGCe07wsQOSVVOmRMg+OhnfeK7BQojZdbYJJUJ6DBaVPaGJNU+J630Xxx5ckpZY0Ef/PuXEYhG3IaaAW6sR9icd/GDjg+mR5b7koMFVKdLHJUcT2EaWPyOjB3CXyiC+UtjnIbkVpvTcHbmbpTApS0BtEwI0GDcDsuVkeMzE45SYsLcjCLDZUjbFVm7TPEu+oa38FSp9ixDfhXkwFoOM0sZw6neBv+RnDp2yRmkkPDbomrVcRgrFUEBa/EhuzfhIqvyhlRpgCi1MewamKiyoPOLSJJpT0wRPoWeqWbLc86Vvvv36/f18e//FF3///KP/1X/nH/+v/+Hv/PZvnC/+zc//8le/+Pln3efb8/39nd4/C6jvvzvfff5+7jOSqurzXVdx6vMn1DsauFNQTVedued41tF57mp38kjJVGXXHBYK7It91VUvEmZG0GAuzFxsXC+f+KI+r/qa18vLyxdfztdffPmbv/b66df4qos6F7/85ssvv7x+es0Xf/zH/+af/r//6P/2v/+X/+qfvr++/+SLLy59eq+a0cx3r/7kM3elnzMjzx6Y+n/XvqPEmREke5BrhBG9R8WCxXlQiIWkh1PWb3S3i59lFVinBXvwJk4st+4Y64r0WQVi/Juto9TWtTDYHm+TCBTKDsGEsIzB5ZoNrVWv5zZstoWZk1QL4ioy5OogpWxaBCJEr4sAbUIUoLBQ7GE44haE0Oi5tZ2igmSdEIQjFGenUg3RwpqBotoDZ/m+k6fMGa20TaCuxsW6Clct2W72dtQv18y4sqI4iZouWswe6vgg0E99ODVXAAYToyCVdFieySj/yUxV6RH1IVStRLq7OuyiVKz2Pw2lOQiPl3jlmswa12IdSMI5tOTqVsvrsQoWHtSAXeBc7Jdm1XQzYE1Q23+EoUhCIA0Gzxeakch78H7PfXQO3lEz835zML1Ds1gKx3LQZJrVTxTnFgoqr8dqw/nyjtYdHvfrqIdeDMuqPLlRdTS1Fp65kvSVsMjI+Cir4c0N++DN2qiHdEqXzcBXJx7yPplGb0HiUhFkViwLVTmuOmTWX0Nauw2zMtE0SYd1Pbr9fSYT/Q+2oEwpDC3Rk9oEye15tP4PyvesUrIq4lg8gowgG5NOH7Io2IaeO4Vjo18saJO45riyOzLQUBeKYKELJF8kvOjFkQNudPpMx5qvtk1DcYTm/n4CAn/vd388zmYFutc9I0jt6dWCztAmSdjBkjUwgpDyB7rcteiaOXCxaOZvUMXh2AiEwrR0IxPmPCaTBzOxgz85fOb+n8mh+LVz425CZ1xO3NRx6ANZt7b8TIG+PBrXIBFe6MNCS9PFbH6NNMv1kJ1O1vXBPjFVYlHHkYh5LiO0J9PLa7UdMUpSjSYeqzJRggBhT5Ca9aWnThRFGSLyaHqoZmIRUno4YBTaqLhEG9DNejg4oBcFWD3zsczDzGYuaXZNwsahFTpJMXbYisKiNJv83HBtEABDU2heyucsdiWAVAHyvNaj187RN+ORL4sH3RbSkGYSmFuJE9MC8GKN73c67UCWicQUCcIxNPD+r4NRxs+BfMQUCrS/4DY8Uy+FcR6x3U+IfO7YE0luqCTPu+W0mHFpkWqcgQWYWHbXwqNHXh44GwIeObYrKqTShwwjFyyCLX4jefI19rQ5N/u7anbjG9vDTa4rnFHpYxtncQp1/NvI9QlPh2Go9krSp83hn7O1+AN0wyMZ1WArjCiUAyaoTOGu+YifoZ5+4nJzIHfdnWjHFsz2lqtD1firiirVQQyMZocAQiQgyCtwaMIWTaqUtIm92wtPRfXIpCyvdB5wUzIG1oIqB2M2wjOD1B8EMqVh+1HkZKG2DuCoSe0QiF8nVSg2GtLVGOG1IGhw9WXP2epBfXHX29sv7v7y7e/+h7/1P/vf/Q9+73/46f3rP//r7/74+39zPn87fPvi82fc8/72dn/33dv9/fvbZ90YHQrntQunWJeEt3qnqqpKNmifu3CNjlRXYd3ayBSyR+q0Ikt1qLnQM8OXZunFQ1hzv2OKvEddn776xOuFdfHTa+Pl9Qvg6x/pN7759d/65te+an7R8/76i/qEF/bXn756x8/+5C/4z/4Pf/Sf/J//5Z/+wV/x/ub101e8dM4bNOCpUzMozvEJU9MuX24ez+GUhscy2glenDOMCMCcYKWbMBLaU/MR863UJEr8mOcamUbJ8sFViNCunt5AnqOwDlXCo7YI7Fx2dcN5Ajq2JQu0e6x4GqGK6novCtKWdAkxIVBdqytTuILog+ySHcNDZt+xx2Dsa5E0bVywiYIyc+Qa14yZs+tqQvwcalvQYQKEBw46j+n5meqDe68BON3T4NV1FV6ajxX7MrRhvd0rXeeaR9vFSWbR3nQWcFeoqFAt6XNHOpgcCgp37NYIeDhAjgdRpUbTtSLGIspVFpAOJxnaQXZTK5hvMns70BkAb8pgnlEjR3UVCyW8XlVdJaCH6G5xMMpka0ohyV5DLLg89I89Z74/uO/zWZfOOdJRz1milMrMn9avQIJ3S2OJmz2bGRCv3gO4WYRhTtxkh6hezbsPgftBEe4M1IiyYiI5KOsFCt59ZvGlWwYZLS8gOhjuCcKQbuHLp5UsLxPV6nFzPpcZaljF8TBk5ru1bqXMh0xD9/GRiqZt6xF4lcNs75+QnjLYYlo/teSpVPRI+hthqT4DAQ/BwiKfgAznIi90lMu5Cutl2skeuyejb1r4YMbKkyjAZTPQa1qsniKbuFga710QoDad63CUCkv0SkllvAEQf+93f2ybtBibOHk+su6QxKmABJ/CzMwQEUTBYg4/iCf8TBaeeUmBqzp4FhgDXTeA9GpnhkPp5lKr6QzFc/IAlz+CKWmDhtSkK1oRpBXkkpxMOfgFR7UDL6ZItRCYB97iFbmRgkStGCHs7Gitrmwu4KnNQ5dbmoh209saNGCLmdSDkppzVDYEYi07uTg2MtSGfPYrkxLkag+FU6hBVQ196go44pWVUpyxhvjs4YlYjuO16mVzVEWH5EPQ0cmNR+shiOocBKzrTOyPsLtn9bTLLZL3XclDmKehFQm2AOjMsk6bB2udY4stakadBrrvKyerzY+wAiANrq7w/9qEXsjuEZxbbM7RGQx0H1A4o4F06qONYG23IbmWysuKMofzdaDdxVbaPL5tPIEsd42fqSjBCaRWJqQts2tBshJWVCAyWr7NgcQkPeqDYly2FWJa8WydMNiLKrUdlJgBBGev/sofSikETjpKCNgFajQ9dmjlNmm3otBH5cF4SZTwGA3597vudGXumicZz6REkPiaeoeDeE6Nf0zapjKNuzN1xkQVD+oK8lgg4rvkX/HR6s3HDQMTAwCGmXqgDlni9NNcRyi3jxL141unY1H5B9RIV2V2MNiQTd4nwEfbGKEaPM4Fs+xFFIyuV+vCgNUHrFLLkwAkoOY1dXqaPW+X+gXX/fLpfPmr+/7r+svr753/xf/m3/0n/8u/9+u/NT//q1/84m8+f//dz3/5PT5/ez5/d78f/fL7++3bt/td97s+3+9m2666ECMXuRCu7hJ4NeOOyRGrDsgoF2j/3QGGVW0cemVCo7tJmv3o5bdk4MYaUJrrwstLfXrBa9fLdX36xJdP9fXXX/z2Nz/65ov+8RdfvL6cT6/8PPrEr37y9U9wXv7T/+L/+3/8P/3BP/+//Jn+6Ktfe/0JvxDrFzdG7xeqh8AZO/zNoDFHss2EpyUwGSnindtbwBmF3j6KRQPFKtxnXWs+Oty+uydyMnxY5uaHeVwrDKb7WYrcLekWij0sbUeRmxobDaZi9diKMucNCBzoyqUJD3C8ed0M66qWzN6uT4Kn7MAqpzaiffex0eVxPeKaPlp0+BTvk5KBeuKe6AVOyaVYSbe/YW3IfnoTLm8FrmUf8wOEGOiEdHGx0jUvVfWiNm6zB0Ju6zg0kWj00bh5sTsS4J3xOW/YSLIpyKiNI3VpYrFu0aXlCZ7M0xZvbqloQZp/UncBKj/nDWcpACtTBus/HjcBHN4jlOYWmnOOu+pum7DKcu8mr4ueAwaKJTRqeuVbKTnNLYzORRyTbeJIb7fe3s89+Hx4JANYz2H60be2h1nUQbVJk6t0QM3BFCrv9XCI6nRqfUT0qC+AaCO48owdfo4gtEN9FTSWTdRi6JEVUbZe0bZboePqWNk/6iEZUuORxVXHBVGlFEEdDg+nLQ7xCSBqKnNWgRcTFyMYbjIdocfxwngqjTpNVnMY4BibZAtkdltB1vs8fTz+IDlqWyVcdsAU2KwVR0E7ggdklHbHCFwjL5a2YWevrPUHacwXnCqw2SxCp1qNutox+hQaInioeqG1ayH66PKfvWLmZ87v/0/VvzZtu67ZQdAYx3Hdz7uZu7VW77fpbjpJJw10QkgTIYGAlAGiYpEyFmUsZGMVllr+Ab/70R/AF0stRRSwVEQFjRQgRqoUEsBOk053p9NZvVtrzc27e577Oo/hhzHO65lJVZI153zf57nv6zrPYzPGOMYB/vCPfEYtCC5L0/Fdq7wTm6iUoYHWrECutDMcwAmDG66UXTZBmm7SfhDODqj7GkkzReq00yGgiBYvBaavbXQXrqWQc7nKm7Aoe/pkdKpcF45vu9u/Tb0Q0t6RYqGBwUhv97RskJf8GSJUU6epVSBy7FgRMEAItrH5AFv5wMpETV7gHoJV5qBhdZVIE8/huQRxmWAwhbvx1LBH0BA9VuTR40e8YKNBJgssdykcKl3W0YnHnlnMp7S5BaZDY0BugKux4p/hVgjV6QaBlRnZoMziswXYToVFxPxl10Ep6A14DVGXdQqi3dwsXjhEt8UFeuHshk8JVoGDhVKtXlwUiB4ugmuNo8mI5yjDAVPaVquwmcCVt5+RNQGN8FMF8wo7i6UFUkBsZfxkZ5yaGUN2RhqqarKrTqEelNGMXf1KnrTX2qt4n/vZ7TtuFTA2rADtgQwvuQzSri2+CoY4Fwrv4dghOxbMe0sXXRdXmhzDAQvDCGdqz+m6BXIhuM3R3EPFKwSzxAZjQeKvmvrXs72R0Pvm5WiioeFlpLYj3QU42dO5A+Zvjv2awYkuC9y9RkTRu8pnfloUorZcTT/OdOvRAMFYAcwjOM5lOCFIle/Fbqm28cWMG/MtzheHE7cgt2t0gltEw0aJWbRUTFG4BaNt34GpVaBs9HZsvzw8iMM+H+rFEJy+z3rz9u3D9z3+2J/4/j/13/y7/64/+s03T7/95W9/8e6Dnt7309OHL9+8+/DV4+OHef/+8f0HPa2ewcKcj0+g/cqrKBxTVa0eEOjC9AFqdVeRVc3DrTeqb9YvoWATFA5L4OFJqVVuVI+joxWAamphobrq6Vze8lBAF7rVVS9eHl18+fLhs48fPvv4xTc+fvnNV7eXNxyvXqzzDrz96OPj49sPfef+6v/xb3373/2X/+O/+R+8uXe9evjWrY/R+6klrXki1KM7VGvpyvicWmuVacoZX5Hrzp0zXEqh5H1PAszdcIxAuRdIcAtWkFbew9upAnYjuUtf84G+aGaAZ/9J/7wFUQfrrglvngJ3KxC2CYHb49jMoIput7+mzdDG9TaNsbFOFPJBCYqLqXSC9nq0GxFY7E4nBDfWiBHsGLyZ5BqXgrWRbqxrJ6KwP5QSAIINjm8cndVhwmgINAzsurfk0TqKpDzRmNVr/uvaFVdqcoALqpldGG+NVeXZw3IbqkCynJoEcqSjW17BRiqMPpYHS2vj3v7iG+AkcUSW5b8EWqPNvXBnozdLMjQzS5LtSWZKnG3BUUTpYEFzFI+DpL0UYfTdFEv6C0IrFeUzP2rOY+bpxJ11v2MtPGLNorTGKo+ypZHKRvFLbl7QZtfrcmupio0abZwXg4prQ7KyBjZ14LON/q5xWJn+qABSdTWAhDd5lwSObVgKkH0Y/GPKACw6P9FDjspEV2K5Q/24OD4HGevFPszAHtcTjWGTWHsNBSGK2UewwXhshD4/6FkZ5adgEmCvrfnagH0AR5BYqqN228X08gJg3jrPKq8dSYoOOjv1uFB2ampESu7Jnzx/Gx6m/m1Z34QiUY1STRE36FbEQcwdaLLFVWAVWlMNso49uI1gPkbxTWGBP/rDnzznRZON7l/ynjynOVEzwEIZt4WUxmsB98wKAMoL60gn92vfXcraDgK3NOeppSJnLSzUuZZl9FmCZznyrCDpE9yF5GDa1swD82XwyltmUH9P2V7FM65iOu9sbOB56VQAjidby38UXOkTVkoD27v5PHiekBniVJXZeWkPgVr9sLc5nKCkw8hhGXjb2HgDZxQfMGizC8ftXk4IZYleNpUHg4wzwrgJ2+pyn7cUm0BNTQes87CKRQTQNC1tN88GieTi1BKrfflE4hyjFhCTNA0D+fxyMKq2ATr8dojOQ72gtGcQXc/2kWl7rIQeoeoCxJ8FUdhg9LVG48DX4hQ05uDXSgehqbswA5lsUkk2pwAc8/NxIqrcSAAIUhGHhMkzPadhF0Ye5tk4PpApUVJrzK8IVa1relL2iNCuH/LlApEr9wXJhh4seWa08tQTowYOllRmsSLqffZY2qFzq3CYlld1RSgrbJrYLSeRhk0ZyrAJSQAZ/3vjhETvHji6IkUskNbQH919Knvru/xUZL0wAxe6H0lj72ScOFncRkK+CO6+xavH5R60lPA1OYabCR80Qcy+UqQ9ClObIcT8kxO6EHvW4BwLaZGxNU/xFjDMWGkaYqO2CzxfD6BQ7OyeqvyNSDDdFvttZGNKlx3XDAmxVI5lQHlKpdhLDeK4fXiYe717+OKbP48//l/5O/7EP/Yzx4vzu7/zu1++++LdB9zfzruvzjfvz7ePj08fzvv7uS+ss851npbEkeIUu+xsysGweeBYBZbNxzl1O5oooIvEqA6XskWPU3EaNV5Q4DnLEfI/q7qv9gZ2Ej4ecRdx1GC6D69KNxp6O455/bI/enX75NMX3/r09WefHJ++fvVA6jYHH1u3jz/59MZPf+mvfflv/x//8r//b3z7/d98+VF99uLVcfKtzhPd630JC7srM6nd6HW6SBmE6BZWWQY6WJUhgUnUVdpHYXzHtStsQFNTMnSFXYq5ueMGeAbIBFBEDcH093/OITPuHp2k/xe6ZlZqypxXRIbPCGJqg47arSySzmq0SxsSNrbKB3KCiYg6fnKJLP7oDLYeELfiSB1pd3S3FQsCJWZY4q3de+QaJn5ejyidfaZKMXUZn8tDcEVqS2mKOI65oVGqEm17WMjkmDgNVwnmlMqee6rBkjxcZ78zqWwbHn2f8aaaqW7/Kb+OS0KLhBAHgRGfZ11N49cI1QKO0AyGuFQszXTTFIQPBYW1NOLizJQbE0idQCy6vm8cgz7qcJ/BfJQiy/7IActqL2TPA0YcVevprqX1tPC0tKbugtYk+iilkWGbYqOnZmt/I1fOjTCgAaRqd3VUg2muubpNiQu29Xtue8XLUL3yE4NWjrS3qLsdSiHnRDMB9Ifcw9oevQ7CVcnI0bznQlzwkDvfSnbdIxKeu9KFDzmn2vYeY961k/hmUJ2flmwJomYU1HaZUQpmRwCwCVWPgwP31KczN6la0VVsnMAsHFI1prUP6uR8wUuTguRQX2HfHW2Vm00kJF8UYYlt3zhAaLXYzQPqKtQdQuEYsmrcKXQVgarl8YI9N4Q9zC8M+WM/8mlQswiWfcr37MXXEIJBQSfYfJ6gIMt5wdWq3wtpT2MrOCBcizQCWES8eArnEhfuhTVagzpnhZjUdmLy9IyzrqsKv2pbqaBuYh2UmIrD9X2UgMZI8iaD8q4YwHp7ADPUl/qDhDBy84tSrVqpCQfaWhGD/mVx+sAWMv73DkM+fOAa1QTQ0e4Ud3YJS7wCSedzlsuu1ThMzQVWlaFhs3yDqwLfNMeGU+fCswSIx23zuoX08hio2riACZOL+ZUWUaxLZ+Gja0gFE3nCsrGBpQHbeJLgdgmCFUnY2LK3tx7iCCemd7gKlGXh0BYomYuyYU+QGP+7fYDs3elwupEvSNJpkhgAz9GM7Bk9RY1GMWnYuZApx4sw7XZdPG4P1nRfksGtLJCSNhmh62vIRg0g9hH6mpB4X347QVdcoLdiYG9Cm+j/2l2Tnp8NIj1O56Cc1ry31Mva8HvxsrWP+C1yK1/qDDf5ZacrSDntNovpFE2Gub7IJl438nhep+yooXHTXJveI7DN+LDVUONdUQJ253cJlEK/40L+el+SIIoueRKd61rxlwbGDLGrKhfPJpHirXYJztzEWCKVZqzArYt1P+ZeWiEyt2uMFTkxIMy7cVm8NsKTU+uKbVjtNTPRDciWBSJKNZH40h2ejopTgto/oyDoqK4T1cSLfpj7/X5f5+2z+kP/6A/+sX/qZ3/s517Om9/8znffPX7ON2/7/bs3b9589fat3r45H5/WKZ5PWsPT4gBnx+7iAlhlQQKr3GEy9Wutrqrqo6cIsAG09ZuKK4OZxfQy2TDFOnItCzR92bCDs8h6WneABzEkajVL002dQ2KhcHvg65f92asX3/zm8Y2PX3/z05cvX37y+nj5MB9ab49Pql99+m594z/6dz//i//aL/2Vf+83+6uHFy8/XYWap3WeOKg1Bc5ZU2gtjpwNMIHVIGbsb0q6A5ZTcOw8u/GS1IOAx8jd3Q3ZE5L3uvORWW8cIrl/0jKEXgWFlcnggutIW4ZCxvcMP1x3cXtAY/9jLjVJQjOVaa2I+iNfya+ficeQ7QR41XZJCUBGNC+fn8V2s0mPL1ZjD9TuBTW7MUeiDVyUu3lxKUQueI8HUil41F7cTVECj+AOo6ZUanAJDYC3xq1ia1hCEftWGVSwnsZA9sr1S/5zpbDDcSYOvCPcYO0IPFAol+NDeaJ+6Bp2tkkDBHujO8eXFnRYaeuyoUTPyAAUqrWiKoIXU5A43W0Olz06XUPW2bTOuAF14eiqMK9sY0xpSRbR8rZhR9JJ7KGgEaT74n3mHN0XzqFGdzcJq1Sm6YRlUU5Z5lEbd88Y8/bTxox2UHIc3hyvAz0apeHEtjXTVsHISIDrMtyl51n3hyYV0hVj2Lco+wNcKQc519vvVJCNfi7BJaC2RUTWyFzt5qUQYX0N/ZrK/jxj2bZ21Xj7RaqYKdQ4g3G2Cy7j51+MPYBBLXmDCNKR7+sdGNwpMKsDlW7GlWTmdf1z/McuMFTY2FbqJITkumolXmgXAd8RlREzbRVUmnjyaB7G2EtVrFVTVrWiSlU8rPspFFcGM2QB4MYIf/yHP/WuLL915nj4XXHGGw25C/hUComEGuLosu5AGXAbbrgLTBaWF36FLnCJOzwxaxW01sKSZvGejXklF0S7yDWgmkNgcqaGOEgQC31USthNPBiXSltapoE8XJ9FHPHqkMi2Wb570NinI3WWKP+MtRTyoaL5jg1UkCSXxVxJh1LkAm55zwl1GIDbqGWQ4MFJHtDaM8gEtxxkEMG6WJUVIrYGy7GVClqUePipgqAHKDAp5RFCWoxcyuJSYy2ZrjVkQWJhWCjVgkemAKI9DF2qZVYjdSNNRTCN+Nr8aWFG2frgIvm6LrPRNQNge6UUtmoQuxvV/obYPRCozOKZQfao/hKEIZCKH3OKa1172TzexxAa7rCRmXmlHUagtKgcZSLRyXRjzEglra29AQLu7hiYZjnQ8s6IFp5eVQM25g+hqqCxj5KuIOKLhN1hOhPHllSEDYFMsixFaNCXBdGE2guEc7Xc+b05mwHjAtol1ZgOTgJ0vszSCNcPKU0M2gchd2/hS7kpKvQO119rrVWeI8H1Y3c1buurjSlsqIkpux0q0mrtrpFbOQ14NmzDSdoF2iWgtuOFA9eOuGkqrvceW73NmHydKzXpFFqUg2y4G6iqN+oEwtJdDoADXYVzqzkckSx0K9TiolhHaYAmafcFmnUrusVGF1BY4Kt58eHx6f3x1Td/7vXf+Wd/9Bf/zE89fOP8/He++/bL7z5+qXfv6ny7vvfm6d27pzdvP5yPT0/rJTSY0om5LV5nGsOqkshDWGwLfahBtQTxhqgSCrfDngVsgYebs0hTkmYTf6AGh41l68Hijm+NGhA4/Y5AQXMMpkk1NcMs3jjUxO3F8ckDPv7GRz/0GT55/f2fvnz56Sc8DoGPD33o4YVur373N+rf+z/8yr//v/uV3/tbD7f++NAcfLqvqYbOmaEdxQ01cmFGDc5ag8IZFNoCMwcg8wZULUwLw+KMpV8JOBN0NJpXyVoJn4DdwnKvBjWgu/1yFBjJWHr+5jy7gjKBxLRzKpkNkDEL5lj0ooEIbhxSdrAGUmR5BeZ1uDufj5fO2PErU3HQrggdiXaT4B8me3kzdTWuR1UboornWISaAlmltSfz4wb2bFO0fSIgSB6wKu9tahbmKLB4QMchUIUD124VeAg7PYqwMbRJYprMEAIb1M/3CNBg/6KAgEEnkb/YIKQzM4LX30BmCHpKXoJEIALBPXEUJNhjWZgsk1gzyz6apvzss9Fnid1Z7lvFm9nUgqo4q6tdVHVhLfCQVqKVnzIITUNrLS7p8eRd636mgr/blWBg0IfPedQYGuuU2oMD5ucE1gyFMUVkpz1sqtvhbHLFJWxQLODQxX5aATGAiayAaTMpEJwVRNZwTUiq5w2Mm3lwnbxZ2kirGcHw/kUWmGUi4Gq5t8IjCLozmQ8oMxlfy84wFfx6PXc7fkpjxElQR+fSYdlcISUxgkKmg69b4QRBQDWNWl5JArVlatYEk5xhtd0iIIRDSBekDYKF53PGz4QRxiMmGkDLYjTD40VEBQQctzos3HMgIEU0q2ax5Xqyd0qtytF39BLBn/ixT7MtQhfYSwhTs8s1bGpwE2FXVnE48omLUr6ulh8YVjuGFrU3XJFJ2r00GJ6CpDnXXZS4NFpZybEx4A301dbm0/GoEQsNNPd7KpbJHHquyHOUsofX7vf3IMAsr8CGvBgo3zPODDL3aLMm7/9bQm8vq0TwiBA5EBeUEV9QRJLJOk+gjElMCq+95I5xeHyGk4GAU5YpbWU8LKo2bR1J8iK4PHN6pRIHwSirawde7kIrnYeHst1a0qXojKqA0cpctwvvvGvjOhNlhZ9cWUm5RdRM8N9t1q7JtGO1+6oYNiKKkPT+vueraBwj4ioo1hcMxIOdCh3pDu3JqxGMOpj0u4s4sXSKtVemuwLwLN4gpkpWGMmKYCyx9lRd3qppN4PWUeQlDynHPZV6kIC4w3pGOvANn6tbhNOoDXJsCQ12x7C1uWZ8IADbGujC55jJYHlhkN0xfIguf5tNCGwYf3NpoVDTbfgpj56fr++ymI3evGT5/iQOlla3UUSbgXYNPw4xcs6Qp3FyjytHgAgemBzOXAIzCMbkHeILWstGBuEvNppSWWMSunTCFWzMVGkfQMX9T371M5nHu5qx7Uo3z3va/ewmN4SiGlioJCttHtjKbOzldRvbH4FVnp0RoKo2g5Qr7DwNCcXDmk6RZUMgkXWIAI+aE/zAD+dXx2f4A//wT/+9/7Wf/aG/68Nbvfnwu+8ef09vH99/+eX7x/f3Lz48vfvyXO9enfenp/t57z5UVXMuiViYLs4q9iJY3Z6ZrYM1VaRa3j3EyH7w0CYodHTlFvBC6Tw0r24gW1GH6ErRNCz0kEdWwBI8RWjQREl3sREfZRlviW73dsPxol7cHr7xaX/zk9ff91k/vDpef/TRJ3x1O2+3h/ef377z8OLTfv/Dv/z/fftv/q//41/6S9/G21cvb68xOrmKPSPZY2ZNpLZGcCydWIKCTc/kDYiKo3AQc5d/vg47aPry+nKnE9gD1ODOiU7fjmKKSCbuZC6lHDYnFbyzBjft6rvoPreS5DC7zTLQkMy7a7NN0rkGJTCzyM2S0mijAlQJdmDQ2E68rg+cxl2YIjQdC0FphO5wRzBejUqcrA0b5OtgI6DGOyRpD+2Vsn3B3QWBJcb1XqhDkI4Sedxq+rDIeeuwlFQYGMGXLzDHSA2V13hZPBpzU+aKOY6Vi8w0ai5wI04SCOy+AjsCBzKE2qtmLMp1MPBRnUXUNVmkfN8T8n6jUOcgW5S6VDiKANUkSl1ejBZHIys9NODhSQJv0EkKmgGr7qeIebqvNfU0OM9Z8lOwJDVcj0FPeOWLtLhKNxCMJ0nZ7aM2C77TcCVEpoB2LkPQlig7uNxOF6H8Fr9sZ/F17mKNNg/v5ZiN0cBObjMWRe7lEeknfKQMJapcuM9mtLWNrUJHVT6pSbMNtdEids90XpQXtNsW0wx05ZOjr+BwTh0sjlYpM49+FO78AhOC0eRvJgCdn0F3EM/M+tqJxSlws4AzZC1XfQHhvLLqa2Ivj2Q0t0drbpSBGhgTXxDRJVUfBZIHnRHVFrgVUUWtgzy68gxcTmHj4uFywB//0U+1kQyJ8P4vYY88W4ptzHEDhAaZQ08GiBt3KPJNcSXCUgGrWPHf+vpeWbhAhpmfdZ8lrhMnpKXJHMa+x6lpxy25G5MSWWSjwBsz9+/lfRLrmJ6IO862VyK5atXpKWsjr1svSXkn+8ZYMiszVAvL/3rynwCstaqZbqlkjkGSNIc9kKQFNQDbrtRwea051NMrOMFGK22Vigs83vCGI44hypQ7N+sidbpddmOc7hzwzW5bWLpwOpuHf4ohqU1L+Yy3pQ/uAji6N5qok6pUvG0ohgbgS9vEQjI+Ys1sytqd2CCv9wopo/JmgOWcYL7SHLbnBlz2WYWJaSuBOrCSrmsqRkcutc8olkFyS0alU5ilNRT2unREaOJsnp0Gung7fz5HtFK2U6U7Whf94Ey7B4M3LegTX5rlWpYXOVKYha6rdLKOvvYUlF93Sc+aYWyKixvesBRLOf+MuOZqIvhcRhk12KI2B8xQzLvQtnhm9475hmO3tgTl/EGzeH50Rg2jnbSDOlM3bTREfAZUSI0bdaOJltO6OFIovc1HBEnACXBPD1w5SAB6DNi58Ec69xanHDXXGIbG1+BUJnC791pA73GbZINNwtn9IzJW7KQgS5pcu6AwmmbNwGd3l8HAeSH32hwDUEgIkeA2ADBhjUNEFUq9KcMRbnUc4DRalAdpiMYp3Zp6WnrD93/g9/70f/mP/Kl/6g+tj7/4zue/99V3vnj8Yr17i8cP/Ord2y++evzw4f3jY9XTi7ut9eLGBmGhW0BLa6D2DnnOgRaKVQQ7SetAeWMD2yMKJc4BsLpqlJN6wNQ5KS36yXIZr+IqCx2G07Ut4QmuFlYBY4whF2Kpi9DhYVDxOPrWq24vX37Kz46X3/iIrz97+OT16xfHy49f9qetL/EOrBcPr279rd/67Q//93/1P/kP/81fffubr173J7IVgnRiONqMjTQjy3o8RRh7YDeNxJhXpjBzBgqnKh2DhtUYX9h8F1OPAe8t5cPYxszYYsYK0ohGCmOMdWqOfTuj3adMPtTGZLJDK02yZQmVSt4nFmkS7GemDcolvF3VQlSGm2BbAH1NbZMBFDanH44Nwc/zydLp75EZ4QqVxmvg2qyKa6artmouEC4wstRMIdOj4Fb2e0Lybj7WNOuAjkIdcqHgPCKoBuu57uNYYGRpOUuDuaySt/Xa1NTUEK3xNqwuAJRWEayahalpwGS+Jwp22M7XL8emCinC6AKWQ2eD67IYVTbO3W0dAzjrGY9oDGmGnU2SuLVXJLnxLsArbLGrXc+5bc4JBLTE886RzjXn1JMwM7O00F3LBHehIK0C4c0RbvoMKuBaocINZcVK0Q2iS3mnjQSmsNAX4uIZhgu0wa5iHeFPQ95mIbAMQQbknGPBw/hNyfo4FKVFGTqISJOE3WjGJZ+PnLZOZ7kQudRxRl44o+oM1jh3tCdBh26ntPFpf98Ab0YfxzD4gUrJq0t/LtDzv1dS9EvS3i8YtmxXUQi/7tyiNT482XK/6yPAzMRWnW/P4d2O7xYa8X93EVizbaYYPYgrlzrYrirAJlhjS8gCfHjZwOhWsObMJJkjhFFiQvzxH/vswown3V9KjiAifhRZDwEIPMg1gti9S9dFF4p+K+nbUvph/4PzZ28DJFcgSxjMEmZxlp4G0DqXe/7xDOXyu6tJ22Fc1TPqx9yqWzxaubsoStUcD/hLK+2HG1ZtUDWDQtdAWPv7Dakl27FkTAaSMgnIsafyyaygN0DM3YYaNc2qPsfFwQL7mCVxzDfCKVVD1pI21KTddBvYRBRKHkCB32xLk3VR/uO6DBCD/rpfNlRaaTI3AI9CaVCMkEjKVp28be8Crtym7jXTAKA62pvB8iCsxG905itBZtCWaUM97EM+G5GmMElpWXtko1DDtVXghkqpWQ7ru6DbMvHaGkSFxZnRcLlHWjoFAPfBeE+DC+VQMpjM1ut0FvCZ8IzsLnrNudK9vGEFiQO2DZnDje8OImizuwYfU0fNvIQjMfTCzdwrb1Asaeeq7JlU7RcKXtyLenG2E83sbOU+XqGteO0ZgrGZCwQxAPk1yC9xgOS1jEUXwuhWyIHwEsoYaHTaH7uJzAZe8oQvGxgYJQ9DtitiUPEj8J+woiaRMCqDBOp0A3ksebqELvcScGZqfydKaCBjmJsNsOjOgyvaf9iqHjrgxajNgTspJ08fKarC0QjXf7gstdK1RpxFl0jc7WUY1bS3BEjH4avuQqEK5G0wDaCbtL8ENPzw5buf/umf/vn/0ff9nX/vZ1+8+5XvffuNvnh4+8X64vF7H7Tef1Hv3j2up3r88BI6FwEszQ04BZ0p4wTEgZTVAx2M/ay3RnZrZdcpjqO9tbZLvmPFBpeLoT24z+lluGssbYNK0lG1qkYnM2C+SkQ17BLss2eqSEXTMhqwS955R6KPuR2N1/Xpy1ffeHj46HV/9Op49dHx8at165etb/GYh4fHenWvFy/PL7/1H/6f3//Ff/U//e3/z1cPt6oHoGYw511dhVNn7XWF8iy+dEoDnt4fRApnZa0TBMB+vonavrykZm1+9LpHxjpqgzPEdrjyMWnNibLV5JZnFJf9IidR8Mr/lpQ2tw+Hb3UGGoVpUMicynZkUQC6dLyGJywDcLhLN+G6N802UlkhgdiRYoPCE+IuP0Q7FBnoQVlZ4Gw4GdDa33nNYlX8dRExynCHAzm9dkNrVhYL2BSQYM1N6gNF9lFlSwXf/iKWOafEjYWr+/C7mmuYeGRkK5gx7M1JUGzPKSIBqnbhJhZWPEaU5ks2/k4lc/j3bl2kK2Fs/EcYm3wKozXs0cr7IiQ168YF24CVjiaIBg5WZLi2A1fg2c2e7D3Vw5FGWMB9jYaPp9bMOZIVI6iZqQuoIYnl0R7Vaa6HEoVTVksLrspt0z0zpEFVY6x7pnc/2SjsXceRW1iwUxUA+2lpfAXcuVDax2RpQZ2et1AeGrC3yHUDtHuPsaEL9kibU5hh3+yyDHS02fHLeFuUVWgxGzLEN7pQG+3byRQg+b+s0tJuC2x5tA1LIzUnQKwZl9AX2gXAk2WNWXvLBEMLunnfUwOp95A8MR18zNCzPS2kaUthjQdusNlSqOBpACM1ZftC+1CRuhUPuvZeXTaUGJFVfHAvV6qizUIzfeNQ8+M/9ukG44jRbmocCfcec9eGlCdRUM3085ZzeLx0Adxzu3uJl+UR1YjiNutEoCqu5e83DWpJazRrnlZRc479ufYwoiBF9lAFQVUqdpG3Qt3YycEH60wQG1R5xexuMlE6VbccJIqDEzIuC3CC23lCfXJmHHgvCmq7E9gV1TGyAlKSXOThFVPWEk3oFP+cKky6H1mK5Xq56Go3kwkrkgYGGx5NUOdg96gVhMDq+RBlu7uGiTUEWKcgkTPYprAQMqPsMSQDdmHf7DNkYx0j7pCoZg3lydyBdRFOZOs4yvIJ7YLYiWMttEVIksIzEjp9y7KOQbvNQmHHcBhHBsCm1saWyiqMYgCKMfs6LSxRa6Chj41m1tSKc5PsRLw1rkW4dnSLFKGOY8MwXkY7sSoR71nGs9a+IpV+LYSWtLkVuVFkIAz3ZzlC2ncTAq2NvvoACZfVjnEDB6MIVbDj5tV8bF6AAeW0Rzz03KW4HKbFT9veLH2O0q75QAR30f55zHk3pupdkUbatSxn4XMJoh3HXb1424u/R+RlESYRe4pXmIr7HJ5r8ETjTCMhzc2WDRHyGDCSP9L57ObSLkzYXoaB+nmNs8gSHq1IVvMY8vvD6WE3dcNIa60nl+fXJ22X0R4ZL0/ZX8ELilhemQtu2MxLBKFDXulQPHicMRToF6t063l4uvVbvnn55uUfPf/R/8Ef+KN//Buf/9bTb337zVffe3rz5eOHL+/3D+v9W7w/3z2uxXXcF0allAycgjs60vQIEzHJauhUF2y42G2+pg9uIqVRQAs8juHqYhNQVy9YxcImF8eT4FBhAQdLZMlGu1XACQFetq02R7fRZAhrO1ECPBo6VAvHQaKOVj8cL6mXH9XHrx8++uTlZ6/69YsXrx+qWOiH17duzusXfHh1Q7/+y7/8V/+1/4l+5f/9Ky/PTx9ePty51m31B/bJR02vE8OpBhakWYsDKxzhXsTy+ihgLVoMS5YSPX26+wFACziSAvwE6FCxvdf+NrTP/yFc+GAxoEJ6QMA+thvc8OBbLLmMhDP5KHgZZCOwDRjD+kNjnnvIKaBG/H/pGpDjEMs97jgQpuP87ZGaQOnYFMfuU3zRy4k9sRqCWL28pzJUqLghjdnVVABlRwnCW5twupwpcopoVldVraOjqARiniNlDYoZS4Nm/plJNg0JPdesTUkenQ+K07oUSRiiw7LmO3pjVZqJfakrQS2vcjPmgI39EuvgTUkG35Y5DqVPGKjRR5Eg66zuhppOXcfh7hqQCwu6LnU9tsBjosnmqcGpU3We62mwhPuSxGViGKqFXZtkJa7LUi4UwVb2xrhsRmsNOh7p0pZdCtdDSB5xF0mt6bqECADLkw3loUzFCyRDmtiabY8DzICjiXmYMuQy2YpuqiDjF60YYERJjPSakDl0aVDY7pNkqFoDUgpFFR0CAx85CbJSngdG8rzdoodBJuBdRG0uACYiEyB8d6ksEeHuPWDmI3RY0hA9qO61ykH7cQ3J+HAkAUaAs5G1faWc76CNLpZmtml7BueSKTmxOSJ0FCEdh25k7UkbVN0sXKlKj4Biz0wA3wvc54//+Gdfi1xzcYGXvs8Dk4TZgQYn+Nd206IA1pRoCxk3srTIwTWc1cyDcs+V4snNwnIWFU4Qax5PYXRf1mamClZQejJzcrFj7uKLF3PTEa0zuUssSHssUgSW6BFxZ2fjsOmk3Re7Up2Y5BrbKQ6WhxdlID3uCCqY57iAIoCTM3n6P8cyxuWDrq+BNpSPtIne9uwwAC7tAzQ67Z5DZjhhlLXQG2v1LmzOGhaWrLyp2LQa20nc1bDKDgA+yW5ign77BGpP4nAfTQJiZ7zEXg+Ep1Yxnl0ywlcoNDi7PdoWFEWOF8nGGA5xZCHzxEWyvC6+a5ZVfch3ELrsPYNgunsqxR5pAjQ1UnGGpVMjLK41pYlr0wxhk/tsJTchOs2a0Mzp7AuzXAi5jMb2hPcHaAZQRMgy3/oVr5nUtRffgOKeLkODi9uaODMpGwGRfYzrisTY8LNxuKoOlyqRdABXlJsBUjaFE1BZs1Ov87SezyHCGeAZkmdAFzGWDr4ijoyXEN7QZ9h466ALTp9UtLX7diE70faTyBg1vU2B1wx6wJHahYu0h0K0beBysfaMkgyvORxcqLz/x9DrQnOQLe3gbolno6CpxffXB3b0Se28H0kkYmkPMqNpP4MQIWTZn2AT+FFKlOENaXikmLPalwwjPFVgtd/Iw8G1GlwvQB4POvAeb1+8/ZE/+dF/8b/zh3/497/+4nf++u/89vs33+P7L57efvn+w/sPHxbOR9yl+31A1r0WdO8+ROiuOgprQoVT1xe3GiyW4yLpQAqvEKdoBgIQ2B3mvS1dSD1XlqvFWBZT5TVqkAUjmgced9zLa1WZFOzW7MTSGOFsFnWiDhMIVQ2zu8eNQL94qFvj1Uu+ft2ffnT76NWrV6/71n1UH8ft49vt5cNi8dVHn9SL+tW/8vA//5f+rV/7f72rD9/34uGgHqfen+cLQlzEmtFClZdQcoFaQT4l7x26oLbl2V7tu2QW1qXPGLcURJt5id60o3xTVOTkRIsLE62qJNFWz1Q0M8VtwoGIhIBNLLp+N3KD0lqMZYy1LsjpcjsVaQCgcMImmoLhy8nTAHfa35xqFLJb8eIu91gRNnUcsdOGiJnsl24gLTkgCww0yxWkCwLJkNKuDJ9xRAgbzu+CxFujqg6qa1IeEIUMt9mnZbYjDBLmNm1vzZu2veEy1u2KlawFEGNCAtzlUUIfYGlJ7ULSscPRtLgHm4wJZC+p6w5/PUnw+ZHWaWskpH6qqgM4WNNzsKrNxk7XAaiG6JFsjlvuSUbT5JqNwUrn0hquNfeTj5qBlhh02fFvlXrMI5n3Aa+RHr8cblzLJ8M8V2ro/TAq5xvgFfUSleky2IWkJW2VvEnzCRlSHYBcmBoAWLHTcabo2KQ4zRDPXLsrScOxYmaQBdSOwDZ+1bDL9WPqJvGiIVCw1DtIkxtNWJmtnQW2WQkF9B6e8yUIuuf5hItd861GpQdVxLpuguMUcZHvzjtWFYFw/rJY1mtlkoMvsI+7y+EGDjNq7PUkVMB/DJQddNw0Of1vk5WPQkl16ACbhVoMcLBahcbRmqkugjiAc6a99p0Q61BESO5BXUvMtt4pphU2dlY1g5aq4gWimMuE3QjD6A0gqSLClHpoyV2Vtb2165LxrKCn/e3FNFU1WgOMcFzGhkCIQzUaRTWrXfHnzWsJB/zOBm3Rdjv2qp6xnblqmmvrAGdNNMo5nyOPE53aQCCYDRiDdHtGOgUCVQMrQbfAckQvIgmMyzoSxRxGxXWwzFKY57QoFwvoNOWMyDEKO6KpydSInYiLPfSoZUcYsZlez2CRFkNLExdbG155LFpZXu/tFSVNozhatByA+/PNrKz4VYAyUvRwD2iRlOs2ddWMtADwxPI24x4tFMb6O1osiRwjaaXgzeh0QbRf58RuUdDQWw9cYWP5bc1KlWvOtDIPgIrhhzFfzt70SEkza2M9AY+d+YzHMFWl8xyjdrQ8xwgPMpayHbM2SMRNI9nPN40e7TkWCtWFeUWm7sSzw4FBmc02I7ock0grC64zVuNJ9TgV7HoW4obphdmYkJuBgCO64H/tWERh3IzYnoVbG6FAI+HM9nS5YweBOHxz/xHTol4Ss6cyuMtjfY2glSd54++GK6AT4J54iQ7JHbAlZ18bToBTT9KAtjupkb6YIrkV3T6p+FrmdMHlAnkoLmvi/SbLpVhIv067LJ8WSWDvTWgW7ZKMK5Ntk5am29E+FeSQBzxnTHK88FQA8YTjxlWFt5yPHh/Px+PNT/7DH/0j/8LP/uRP16/9xq//7t9a8xZvvnz/9t3Tu/f39Yg7tAb39+tEgITh9OJAN/Ta0/VnGteATT7UtfsbkOQqlYsqt90DdwUrHLPYsxEBQsCANwq3HoBdJLuAORfB1VWFdTYOHyLDFNRAkRs06gRy8Ev3uzslLoinuguLmDUL68Y5dT+xTj2uevnUDzd+/Or1gUeu8734UdXw7cd69Qd/AX/+f/jH/zcf/5Vf/r9+zqdvvnhVRaKe+vFhYK+mWZoqu9bMaTzO8ZLx5KUHV1Z0e0idKWmKlrIbgTcMZ1aLUcymlUXcyQU/vb2sygnB+E3ZskYbPggKp/h0XAhQ7gnHPafDhKfV2F694Br/ed+RIRtXXHaHzj5tBzbvryQ3JJHommwbewj/5wGhFZ4itaRA7iqOhCXO5HXveqweDVPp7IaAN6gBzeUihNwYNvXvsleSbB0UaSGqjW65VCpwyusMo/thXesZAI6mitolO7OVxrHVm7AM+hU8mxkaYMqgn2FLY1UDts0yEzEBDaqmwNOccxke1XDJb9TVAf09bt1dGSWKFhLpHbSm3F3LUbHGJrYzVW2pr0estGbNOlc9CU8zrFDcjnKkSUlhJpKeYCEDNGesxmgHKUhlGxpDS36j3vywIZ5AI6XoX5jqaRc+mIFJBhPeS1NAYVaAJPPUwyX7H+6kpLCsg3ztRhD9XDKA2Gt6tBHvZJ5MQqZImC3Se6aw3eVl72p2LPnEWyCES2XTnu5hGF+PKaV7vm6pRi56ty17bHdTxLqE9X8oj/V6qyULOj1G6ZsLQVMsjrc7cEN/JWlqGUnajB222WP3tlzNXQFQrvPsjhnM5Gs1tcPA0hwMOKi6gQLsKWUxhbBqann3HLQtNHSkU9swMYLxLaj2nEtVkqjUTSxa9LXTCESva432A3Yb0WbazLE42mVxGPIWKjHOtsikhOIyX4Gz0+V6PBPecqY21CGxWJVMKrKsUFV0lZNIWsBpK9MZdZVVTP66AXVNPIblSpcXJJOgV6AQ9MiRa7gu5VBCE3nL80Zc26Ytq8aniGVOHmF71ZZH0FOO1wRmtect0YvkjaWRWtb/uNUZLKIXl+HzXhi1SmxwEOvOqY0IpXzUNDXEXji3tth69rSwZz4M+3jkk7KhTQA8F85TwzlIIQt9iAWJZ03ZI35RnKXYa0Hp7Ktcb0mAZrGYkfRguzWMDqUi1wE89jGZGoYdG9ja95eswakVH2uXZzPDwtx7uHz/HShKHC5bocEKro19Yes+5MlyQrBJqXEnb+qDXFpePHisEGIW53n2rURNLxPtFoTYKu545MxIzqAGSazPpTilqgFa6zobeXtpHZemScQnFA6zNvkyELSBa+UR7xJmo4ypSmMvYogiLJYuPMKPxee2Z9SeecYs2s8mzhswSVnlTt1DxUiiAVAjtMXh/lMrT9phgd7PUQKqZjsuc7cJcpPAglt0BqSRUx/gLz1l3zsQtOldiP7Ir4Jrpj9fm2tyabUrevcNtVVJzCwe0dyJwKukBRxFaVaUbG7+o6OoEsYmEIQWWWVFKpkPtAovYBPhepJe3c6PP9yfnl7df/of/JE/88/9HZ/95P2v/+q3v/ib33v/7sW7dx/efvn09HY9Pa6FWrzr1InAWWurU7udtSSoLcW3C284SpUnf1i2Q3chq+1bJAKchaqpW5V4GmU5DhrWrFahiuNtwSprmE/08TCcwszU8TB06yYNlnWCUuahBxzWoSVIq6u0uDg1HLUmAZGj8+TjMcejnu58vN8//mhevKD4/sVjny/65SJf316+e6q5r2N+4Q/9yGf//T/9L9/+vf/s3/it86tPX370kfpOctWdOLiOqoUV+9pqaOFgZrQCxpQ95sne+wIJjPZ15wZ9XXyqYAko0CHfkLHKcIgulpWiCitgo5G9oH4IWJbFL7u/VtTCl9x4ES2ANYI9rDYuW8DW7gNhrtOKh6ly45q559B6PrwUulwc2M42za3bDfT2HfAkJwUUCw7TqFqZSNucYAnbsEvZ6XIUoMygiRwVmbIrWJMRRjRn5nAF2iHGk4lQ1Nrd/vZ/iy3Z7DLv2J2U7EBaxGBqb10oLpTXfXoydlZsUwvcfCh99oyEAVZbZJxUXleLzU9s2ZTl2HstDsmy2MvWWOjSrlV3x1HsVlTwmAycZ/VX2bWiqmYM9uNOrq65j+jHYA63wEXiYAdwHm6Z0oCMbN4qL9CJyjnTMQ/IcDi3rAaoxhqlDvZU4558QO0s4VS9e9MN+4OZlDWkEnH4hecI17EH3Vk3oInpFSKdnCR8QqSWNpsFQLompzdIxUvXlPoU5siNcPobkvL+msz1rgC2E5mK9ZF2KKrEdpKb4PdHr5QU9qcK6iOq5Zft/GCPBEbp446cQ8yIXEQDo2qvOWVvIwUEAAiIJiSBCeh45QdAzDBDACy3TWVKcoV7Zo/OYi3qdgynVwNr2uaTomeiXUGkfSpgDn+OqLYJv5OwtwCJpTUBkkCOCkLTQzP7MGBDk6bOHC6dSm3qhaTTErBFeEY/yxizGl7tBw9cFVDDAUH7Gg3gVLECYJ83HA3MEnrzD+7zRZFNgcemI7IcRBLjX+w/WNKyZs2T/UiTVmKNdhyItbP8fPI7QGvq92iVowu2WZj/XkaVIgdPO9RXeRjxEOOpZAvdtrmwPO6wOMu6UEbYT0hsrgkD56qShRr/ZJW5ImxeB6IhuGzAKquKxsPoxonnUDZ6y4BdsKmxksibgeXFB65KyX1eCQyfgIeB5XUqlBUlubiW36yIPKomjVNmq32QGLigkPkZ2sUnQLG/BxM1Z+DN9bx6c0cDlAbsxXOG9DWxVjEjqrnaErgFHfBUdJCIlcxmGRqsGVTaujBzlMOrzDsUw3qZE/WX2fNk5s5zwSo/APkEcI19deGG2nxYYsW1kMHd57cNfn17ggBWW1i9RT0ue51094Czr1EGY5iaoVybMn8xOL6sPgQMBmwoZIuM+bXhMYhJ5oqEgODamCSNAGBjq1SoqaIWrCvJ60cgHez9CpHn+NNJ2hSwgkP5A4OeJ++VJl6aVXVEBxo8Nx1sKMr4rTm8SgYpN9gIhciJgNAXPwJne0WVOG7OchJ2CFCZfCqpQ62xCgQOHnl6SBPDQg3uB1F1zJd8/OiLn/xHvvWn/vmf/PSHzt/569/+7u88vn03bz5/8/ju/vh+Pd0l6Jz74wmqoVlQD1OmsE1T+DP7XqaStNzHCEbCREELx4ElTln6nyReZ3dJZ/HoZgFH+4DOAXazDzMFislL3zhrSmCdum07XDwZF52SFKHuHGume2am1ONIQHG04Dll3Z+Eh1VzDHU+8c65635/mrX46tbrnFcvbi/U4AMf7zhwfujzdtb67s/91Pf9hX/xj/3rH//H/89/5TfX0/H6+Oaq74rSGvShAbggdmtNsU4vIXAEstyQljSKZIG0j1hKGO4ldF+7Ju6qXIYmyMKUthEJI/wh1/mMRis1rKIUDCbjEjYnHdib+3DhfQB712HGbjUDtJWUX8MeEih6c3LagGmqBv8/VrRULtzXaja53Zv8TCTSUi0IKypQlGfojXVAa3g0nD8sqKDhfUakLmyW1uoOz0siLQiLCwDQVprOZMi5qCkLuRX+tFK7UAQPd+MTa09cESmeQDYJL1B2HKza39poFCGgEq0N61MkVQWfABbMkm2OEkogCc5DXyYIUB0FHpBdIFvxPTEqUSKwJu6BSIcZ4a4wIxxVT7MA3ReXZk2dp+6mevdD9YEUqFmV9+aGytnOMcZqE9fJyzJTYrPXgeKVZQUUDOgFCN3cOK4JQkVyyb3q1J2kdQQ7ZURyu1vN+MRJ9NwKa0jOynJMZ/vdy0bqrIiAcKFKTtB73wB2Pb+VNHsS2CpUAivAj4sXhOcOysjdF4exJ0FXQ0PVInoTIqk/kmC3Q+NYvO2axDVzSKdUTokDIc0SGA7HBc6aKgu3S5m/9uFGRDTlXwIgbkmIlh1Fr/OF8LelxuDrhKg7eHN6HcF2HSguFXUWG1HXjV9JlaU+h2tWzVi36gEWG55uOEB+Jf59KRtDKys0eWV8KXfJBZnX/bjoGqgk4jB0G4gdV8PRa86goGmrSBpf0YIGbGkJR/UYpb9Zv1+siKL8tnzsRmr08uzhNCprYN07J+ht5VYeqXWijvi7anBB4dMglvcqWAUvk1jMt8N+i89qZJ8r1XhX23CkaqtDcsSx4d+DWITU0jTWms4+VLKICargYOTBJVbA/VRzMtQWW68YPVDpc9NzVayoI13jgCrNZNnbjEhbn1pFQaR9xnhDobDJa0UB5uvEqppzMDMP1ViDo2bJ3eue5zjIsU+cwa7o8LIu07f/Mqbw+HUTWViIALQj72YfH1LPemKiyzEmVIKlsuY9He/dB8KLxM36XRfI8k0KyFNJZe5y1yoJ2FjCIcJ30/Lv1r6K2+fSWdq114rA3sVxtj5gA3euQ7NNeX+oFLf7f1dAp3RGG1ecEBLOBltZX4HzYPIn8YxAOnIY/V3Yar/R3li3iQQQUNdkDj46De6SQAb57VLRUceavQMIuYsN2+RsAxoecb+Wj//cEOxO9ppfnixi5bMko663CLPts4zZMT2gfZm1E/w2KWcmtELQm16M2z92aNsj/+6vMUAZihzDn42810KnMARFdU5TZrmrdtftjw1PrRQPpwkIpVLPoVriDJ+OPo47zvv54dX99/9DP/SP//M/9+KH3v7Nv/67X/7W/au3+uqrDx/e8f5+3p2Lwjo1pyCcfpDUKmDW0T1iRvxlk/KpqtkkLROr2msKHYeagxtlr5AwIxYvVheaVaTXuBwtV/91kJq+VVeBWMRwYY6bZrx00Fd98ArMNmAdhM5TozlbS8JxaJH2IRHAgzinpXuB1Elm2yWXcD4J68M5t6dX/LDOj16uj/nApk7gJV69Krx7/cV6M33+xO/7gb/w3/v7j4e/8u//r37t6W09HC9fYt3rCcsB3T5jQC8tQ82rUwRjm79M7u5s1WvQZkQpFIvYzIvC1gjYzS28GsIAQJCalIxp0hFf4d01hJlRtPxZ0GlVjuN0yjiBWtoeG66J2JpJr8ddbDELscYNDpu2Z3EfnisRwTf+NsXT1wrVAa79uNHwuTPJZ6JhCXb6Cvjq+ivFwGgUw7tAJRoz6tAcsJNCRRFg/3VqxGlCU801IlSrV6ylY+9eWssksCnZ3aRHSbjrLwYIUQwuUsTR0S47f7A/3whdQWu8VqyililrS7aWbxIQEFtKNzk2nmt4GVpNsbwyOObn0xbxlpCDtLA6x84lW17EUJw5JaBOYa2J6F+1GOEUpgbq0XbNi+IMwqbzPcviiLaRc/9zzHNctdTay+fHCg4ZQ2hBahGm3lWW2SCh2qPLsoRLBu1CkGSUYifldH5G76KtaSF/Vhiqleap5H2Ys28KoUv/NSmvcK1rCXInpadM6ajG9sNbXvVmwWNaCq9V2nmwXJVo/ABph33XXF6AuUYF7N0Y7jrdzjvEDyoKaafvUbpKN7f+n1m04LO/YVjPUvs7jHg4W1zqtVj6paIFJTaQVMV95QQgmy5W1TFaBaMeVRhWY9GugBKgxTnqUFAID+jikOD5bLcz3TNT3YoyPy0RuclLQW3Vpk1MU5slpy6Ii9WZo3GVf03npvY2qUZNtp6M+8nCaDTCYUMnbiOnRN/2urohmuhCNekUotxdI7BTHusZFY32rbCfO1B7An0XaZ7trIR8Y7xTcigUtw+bMOCaUVURsNY5rawmNQSivrSEOYVmG0mwuMsvr2TpHHqwBPtpuW0GhM6WURc+nrPNb6IzC8gZxhOq/JkToYpL2Ke+hGURjr9kbLhcDyqIto28IPAozeHHEt0FKgFGQLyxIRhakHxW1ayZU5ZOLKsSl4LgTBLUMshi/34KggVZwymLFqdIzDKVNFCtGdaqFeW0QE1DeoKxnU2eAzOx8Ygfxwap8xoKFunt1J3WDlRVSQUs/7PhYCzbFBUh7LKU2CoxUjOBx7VY5cmGq6vcaDBRmkbFAtQ6GLtaxO4uuKBJwoifaptFSoTW8sI7pJdh0DtY8KfAGJlRDGUfNAIX1gGSTlijLEXzZ4rPjkEUfzlht0SpDXSyDsS5JvruSZuyAqJ4qNtKTaaiTCudj1eBKJmudO9XkIUlsM+TZrYJEp7/DwMgOkV5sAicMlRJcFJOpNFNQQ6zBdlAYO8nDehAX7yMCDIzkG7BzYaDjqh2J9+7NHMGZHUqgyWMB5kKZHSDjjNVRgWBVahSzawajW7qs7Qe8GId/PDwob77I3/s43/sX/iFh+/78Nf+6m9++dsfPrzXm8/54cP5dNasNdCcPJ+ybHtyAaeJ6mONugZCdblKNE5KBgkm7TInC5BRmzhCaslg0c0mTUg0detq8oB4HF0om3nc2N6BfrBUPQstka3WMX0+WOR5atWyKO2AcK91rsGMTpRwlpuhAy0MVvVtNF3La8O0X3gDmCfV/Qlzf//4/sX5Wk/3efwEn31UYFc9HrX4/sVX5xS+983XH/23/7k/9mLNv/uv/NLT5984jk9vL/Whn45eOA9EZb18SxXozF6ohqM8/Dcum0O3xQvAzlEs6wSxMgR+xRJ5IsAkoY+Oq0tPQTgP+ic6Bw6bWBNBYAXI3aqFHH9yU1U7YLiSSV/hDJKtUXszQeoGDIqDaW4qysWie9JcbocK3/Uys7CjHKN/SRWbUiSQiPPL5th27lJtNiPDfRuoBbesIDIU1DY7c5oiIRaXxk7m9hhwp5M21uHKFfj+DEHPEPtOPzFcCCWLCLkX4FioTqbO2LNSlDrWRZB8TSxqbbLWTQgZ+TrLY2ReRJy6uqqV9+XfbGSjh6xyIsTs7TkIj+SlQUWsRWktUItP0lq8j7TmTMnUYVo15KhxYwmFM355CbhWW8ktQZKvjJ8bUzcQngUKBDRcezRtCzuqalaMZjUzDVKerOXukjP76/QyJtC4y3KD437+6Rmj39rNphcDzNaBTuYDtC8BLv+lWSTF0lqkR/rdpNvYoJH+RggDbqGN0S+z6c+srl84riLKsG0c46wP3i4+SfBmF7Y/Na/Eml91DSvvqQ4SzVmeCvFwzZW1fJKY9w5YQOTpo7IgBrMjxG71lVOZDix4rpkgNHHOgJwTfYNmqdA6p6tHAMtiPi3rMJeqN/xGUDoCQyLqXOuh1r4IJN3HYimVLhPmavPyCFILISbfHppxb4aLww8tYkISIToFomad7tmrpxeW5Q2U50Q2t+KHnYmSYklchYGO5XJmI/raihhpN30uTRxXC9smbwI4RlViCNCl3Bk/JwfWHiy3CQHG7Ul/qRFJWNq1jwdUTYZ5HAdDR+7GSD2CRWqzAXJu4dnY17IJJyKSh6sOf/6o9TcwxARcsjPwLthjzQrKOy6/OtGhwIcf5UhZ4FreECY6xXnYLNtFjNfvjOYORSe25cApeKNhFexvMarKtcmSMLvFkRQ8c5Vj776DZVdOhnY2JDJDl6lVGf1ZRJY6dDiRNQClBVprHLCXKFNdTAKaGrNBO5UF0NnZCStmc04RXNaNmdcxlMONqluwYmpqCA7hyQ8p9ulB1LbdNrIEO3sXBjwoG0A4ihYpnlCnZTSMO/IkRoX7dccS72ZDVZXgCkhVFBaypHRr3E00p6L1nXfLGugBu/HnRi2tE8cWxDgWQxH2ws89cin3HJuWsD66gjn5hsskFlATw8CwHAHbFHGKBFo7na6F/FqPZLAvdHWwy33ZifEgI2YLlJr7E0CGwVPIGKRF0PvtkduwxxV3ivw64JEqGT1bUVWj9E8jG462MNUbTuJEGpixJys6UFEWiAacqrrXw1m691n62T/9A3//P/1T+PEPv/LLv/L2d/T07vb5m6f14en8cj0dswZr9f3prvH6wsIaPLBwoHofw+jbmgtqsopYLqaCC8AGQDadyuOf4VFWjHQfRfWhnurGrapbhy0a26rZqmIRdTQgz2veebtxCB4NFPtFgbU0L1Cn0KM7FhaOB/BsnOzmnFMAV504OXWWHlTErI6RwaziBv441Bwq3WdG9w8Lrx714QnrXmvxPseHOT/6iNTD2++oXn/58Tf6z/93fwGvH/7i/+w/X5+/+/i8vahlKAHTqtNf5Bx2Q2L1mGRe46n0ti2MJVpaZzI8ofK+T2nLwGh3Tb/gfeCBWW7OVSrUlWMMzkZ2oc1aD2F6yUPKILY0xyEbEQ+5ekZZQJvChGJ0p2YcRtMIDRyVjUfnF8xTpeBzfVbhwDPDYMTCpcl2PHH37tAQjokbOgKvySHDJkZjjKCzhGVewEaBYSAuvlyT8tI1u1Uu6N6t2TFEa5TFiebyOV4/hGJ7nDtGF/YqlUvCBSDn3ggZlHW2SKNmcJaMiUQitf9aqpaw9JcQCrYkil0QpVknV4n2GscqOCu4YLLbXQbL2c+R2tOLgEW5aDZ7lpSaebSkk7SPt8vcbpemIg+cS432aJp2neGvs10OM40ye3hXG0EBbR+xYnBoD3fuKDfSYX5AazwIhfIQPCfG4q51nVQlxGjVQ16GbUyyGvfe7bHLyz0iy4zDactorEqDG8pIvGzPO5ZyV3Tw7ZO1IS2DW7uCKptry7IJyHB0FS+UN4B0k1HO+1FtzvvyKyvECj3mJm7RQmmbDBiwy8LeiKV9VvzAT4ULRvQPrMmYcxJtVBuzu4neDdpEVFP70lxtqmOCu88xbRWo2f0QBd2po3otFKU1auO2sH8eR6u60l1ZGFBH3DNyDhQIbDhl/GG2NdNeX2GPGroW8fmqbbkUblP27HI5VbDKGKg9xaByova7BxDegzopx2WtEySrViYClkCI3Z1gOVXV1AIdJozKzfZlcLSsPR6OizuRxL341dqF+Dz5oA69sTIvEz7hgRsACE0u1ciLl2Wv+tSBqrilFa3UyqSGRdIWDdCyhR3ZLxQ2JWilm6jl+UHtFnpcodnqxsWd134l/sMcq5myFfvVaY43xS41uXg4KDZn4Ug71od1XxzwFv4bLG9a9QFy3Eu1Sd3EE05GXGBjRdWj5S4bg6miFwLlqAtREgF2JU26WNmYZ+yJC4tT0f2z1sQqUh7WCKeg+M7J7yuuZFsC8+yTkdZKoE4ZIquCayRDtxLSNFJbdeqeqsAJwwbEOdgpcrxHxzOjLlgvbYvCx4d+kl2iFIFEyWK41MFt7eIlMvEfcnu+j6Cz+ZIz31ZrNHfxDwe4YmeWb6e7lCo7wtteI7aVBKauxS85QPFOdWviCppETENi/yRhOTs4vmk/FG6DNnLLxJg+oaY3ou9jxFw4cSF2KkLHtzYWnOXW0wtDp+ZArfEwTxq4EoatWM3u1mC83sLjdeEgEORVkVn6exV2y34hjQ2XZ4jVmv+6AAwKmHO4xZAoL/00A4GUjX6y4x3QcWnxTLDAUksfz8Pbez++XC8eztfv6stPf5F/8p/9o9//Uw+/9Mv/+ZvvrQ9v9eVX7z48fnj/gXccnPtM3e93dzzyXsBmS2qOTgeFaLPL2KgIToNolXFNQwlVtWiev5QVRTrZqCpikSzW8UJHd0t9y3LHosjuY3CC5MK6WQOEeSix+OrF7ZOXxzl6/HA+6eQcgA7W0jwAQxzE/UE8iFNoHEPeeOpYSzxHT3P6HZCzBC9torU2GJ5UP9VRp46Zd6PHWfd1G5Wkcw7p3q9w8mHdW28+/8ZHj3/un/79wvq//U//sw9ffPr649eP9Xh/WDX3+tBPnIMZB9PaEuju5nLJe22qdcWd6OEVfD7nETZMxr0Y6U0EUG5+XQ2cl6TPc4q5ZiYCioRubqAJsQuMpDl3K91FB4mrq2Bn+RPk1xvSGcWa2dUSR4vVGVC9oE9XZNr4OWZY7f5Y2Oge4h5KZWAmh8Cg5jAreaX8tQCFpqMnSA43FTkYra4oYhHxuTsYq64dR6wKsWAtkJfgqeyjIpWvRETbSNgzjboURVzlHFqKhERiZtsToOy3HJmX5RphAqPDsm4XWhhEMXMxHRbI2H7bsLIz9hRALKFl/Ypj0UyxJcaawuEXbI13OirwaHGNlqiFJx3neY50X4IXJcAQCsE72sh1ME0rVfZ5y9lMmtpEmir9CKBRc7deF5RNpG1x2U2oXegZsRzRY3ib8FIGywMqng6OqF0j0BBTUCggs8K02MN2GH4ukiacV7JIZZWoj+ikO1sDAE0teD2ZtXLCKTQT4dPC2X3Xn6SUEdTKFKUAL38LSyQMid4GOz7IHqIQEBCbrBXbp/BQ6SR9eHJwI6HIj9WuPGRewPVeZVjTqu0gaMwTmqjld/lQyBCxm9SZLhfBOMhtaqwiy2NsntWpte7dvVSragkPpeNqAiU7cW0IgAs4/OlKIeM0g8JUjn6N1XADSMuOv1cQFHq7HvlfZNZWg8U6RtMhSeZrKgjWRvelaE6ZcViRqMHYZVvIVIDkbiSUlv8PIMtEqjOPZMIWmoHKRqGlWVKTex2FcHIF+0daUf9OuHbxje7SLOszgRSTe02ea60SzsQ5QMy4QzFejdZLhiYALvGItpjZGwl7n1tjj+6tzNDuygWi6sCWbQLY0ImfNB2zi9DCquyRqii43Z4UcMYCBGGxRq1Gwe5JiQX0fF/tOrhtkQjCu1+lStN9gmxal1oeblenQzap535NqYj2s9Us9xEzpsfKT3TbswaHZklr5ZYahbYpQUCU4AgOXubvnUeIpUxuY7b4fD1bcExkfBptGzKn/KT1SX822u53TnI9lP3i/AFkgYB79JjhjAyJ+7oGCA+vbhPAkMNaxcqL88izNbuWmXlbHBI3kHM+lZyyF3u6FRJDlO6y2R9Coi2BLHDGnrYIvuVIzI5xyNbLYLMP6VIM9yWL5wedHuHNy6riaEWfuO9CwmBepQG97Ul4geqeKQ6aeWEviaxk5+dvO+LskmnuNsxh3ksg/BMwHjEAd2fp3s0fPKKguCQCW0rg2Jy2LqRapU6yV2HqUMWkxV09duGTn1NetmVrFBWOQYTKzziPNKxjbo89feOrHr7tt9/8Y/2n/9mff/Uz65d++T/53nfW+6/w9u19PenxA9camRs9l1fw0b0txeLZhlGcH5YIsBwmO9w7WaMGGVrOVK0xERoB7S6Qtyqhql8cetHdD67u5yAJslRgtbWA1FEPo2aeQqO+8emrb75+8dnrBvD+cb15//T26en9/dSoiUUeB/Yul8PShPt9iuyaUfVjn/XU93UOboUnHEPx7MEEBKNVXS3M0qGB7nz7ZmG9XYsfr0Ld0evlDXp/aIr97oc/Pf7Jf+4P1Xn/d/6Xv/Hu8xd43ex7kyw82JJ3GSpNTnctXVUzK0c3LlOtbd8tTTs7hjzmBpHKWLtN0msQ9tDAZwqADf+CQ0mL1Rn3S41gfGf8d6c87shsDGC6j9ocmXGHurgubTNrpPjkLNISSvYFOlpbsBJGGdJ5kw3Bv4z2KTeiC8vaiYD9zsBlRLF8o81aRI1rETlymRLEenEqk7pmrS2yHZsR7eJHKPDu4OooMyp0pIYbWDBGZlYhNCQLc4KtFLKRbO8U6lfAK6hd6TUFKre/BhVhPjwLHgZztxMQPAewm77RGFRGp4GpyhmRdLAGOMSxxNO1pfdNULAxi1JeabSWZknDOD4OUOKyu6B1rH4tfnpBgTfAu9tBbUWjlUXWcbtTeT7MaFfdonLNgeVxGU+kxBd8Dx274AuVmF7YmnZCe+S3MScvdwWlLne+snNA0U9923YAdF7c+9ihbPlhBjA2RoUV6BSw5ZSnyQNcCawYrnocIvyYBjGqe06wqF2ZIKNoJMCDGGyBMwRVXrlycBCgbAIjw9/FRLbvV5Ib9mfewGcIdncNWcmSnBcyANxztin0vHs8LZViLmfqHvJ+IMv7QdpRHZ4aqKURqmHm1/R0Nhk3RDIvDWThkFt5Q9a8gABTOfCIGPRcqG9JQfyxy3XQYHMhDnOtWWRNnrKB5lHRIhNvitlh1oLuFNkAwAWCkzlZ5bbUjjYb3a2oHnVu3GuINNZW/VlNbVNcWf9oVzQqk1GuGm0ZlnhDpoOUQlOVK8TRVR6MbFhYkN3ttVvqTYokdgQlwX6XG7C3y8rY7iE4qbQF8sago2ZG7/1kTjUD6z9IZOqUMFs3rYNrFYyUGNrW6V0c57IaxaWNmtG5+kGjmDVhm8bwJoJaQU1vHikrzwt1GQgp8ByxUcJJZFGweFQFTRKtffUEwEYuiNwpXSukIkwwvhFM1302ybXDuF9y7k34XT/UXBJcVPbF66a7JaRj1QpklQiwy7akRPcYNsDFhemP0KbAdl5j6DhAWm7FfB3k18HKSJ8KWGZNx3v0looDtG13fUZ2mjLH7KDjCrXkT18b+S9gQk76Nli1HuGvXb9sdb3SF7n9h0W1pE0MB/FNSG2W4sLw54D5wxSS/sc+xh4VS0QzqH51kD77GW9J/CUYebCjuaxPFUDtEXKDcrVjsoC1rJBLxzyYdqhjhWlyUunapGMxQ34oFBkGO/SSz1kZmhxmIsBmPWMIMB2Ddbr+IPY8Hdkn8bnlSy9uvHyocrvN7LfYeFBWNFQdrrCmVDzENzd8yvvD+4cvP/l71j/43/q7v/Uzt1/7q7/+vd97fP/lw4d396cP9/Ou+33m5EB60iwujdwxG5EhMB17e+Lmb5zJLG5B+djVv4mqKM6sITlqmVBtAs1idfMB83BUdR2lpi0dRfBQdds6z0a/uN2qNYtdx/r4Vf/Et15+/+uHVy9uL9BUvzufvnh6/ztfvn/zuD48zjvNPI6VHA8EXtxmGfhYqzALx+u+z8P5NH3n/WkKJ8b+QbmXBKT4AgcyXbpTb95r5v50nmu9XGfxszqot0/q95/ofPONj89/4s//wlffO/7S//5vvHi8vbrdzjrvrVoEjEKDAk9FIxBx5QbK/Ry9LygKIJwuqNiMsLEaF0YEojM9FnrL418WreR3ZGIXJcUR27/Mx9khjUVb3O+lICB7guxT/g32dPKpn/iUupZ3CWNyz4nngmS8hXWn/zSoO/hx1+pioEoJ4sp/cqM5yo7eFZf7yIi2djxz+F9DEyhOTc2eKc7vmkt5oKtJH9Rtz2sWGh2cscY3UStjX4g5NS7t9SXIo+N/QWNJDGI4NAKnRattVAdXNiYNVqq1baJsgMRZXdvW7bn/hvpypEdsSGQVcVHssNBN9ykz1XWBheA+epGH7OlQ3JcGumMBPGct0vN/vvguOREidZo1xAG5cEq35j2u2pwQHNvSO4XTdmN19aRlmVYUogwq7p7S0WK22g0RJknY1qU2DgkcBkHbx98JnhPRmhVFLMys1EnCZb/ipi6vlFtYvrkZWC40DtImpbYQoBOseYXmCW8DwRPXKWylWs8Qk78B21nZJ3Bpl+POEPtZAxtnkSdVg2xZ86B9mRKpfI489G0VOoNYEuvqc4dxzrfVunN8W19qX2mbRLpy1nV1rEhyWmLZVgNhBJOONYPukpO6gFnioZpUpsuGJEbRZw7bdBUAlmr7/ppRixKwWBkJjP1rjBkjKbDLicPEaNpsvfEpAa1tjV7cnlNzaSatKQYIrpwqNXthybPpbvPV0YxhHXOkeUwtaKPaAUtNLNVBT3U5GARjdg8K7+DYyKcPHbeixm97hMPQN7mrS8fcbVnon5hDclFGNnvJXTOhxRUfhrS3W32xoXIMpnSAWtGMGg3C7MUeokksgkXTkZkZ8q9eUns7M4uElsqrxQprPJtYzETuJGLBtNdpbrdRrv7DIWJM7fgoz+EWjN4EeLq7sczJZ6DulrX2DWNVIagZYaPoLHl0Ok+OGq4ajjVlGlMBNIrlazNrt+JiQdy2ahsUdBgqznKpZWTaN9i32fBoxmkkhISNutVN6dd8GQoXCqENHA9ESTR+nCY+SgyT/VaZxSTI81HG3wqQD65nb7wujj2pscuF+nY9SxDBFXEKGT02eejRUuN0GhdnCM9JYtzRQRf04CCS8mmHL+5HlNn+HMrEOUXJTHlQ++uQRnwN5a02DtA+q6ajj4R/ugSOsNLISG1h4Bhb9Mcq7F49O9lpa8R0LDJGFdGF59XiBBvmYkdEAxLOeoAaNQVOlq8gAAMIj+sZrQVj5TX7i0RwYEcQhxajA1kDSdTMUN4Xtn0gNvo0ZU24gSeggVNgJ1AYEQTmxP12vpT49OKLb/499ff9N/7g9/3++o1f+/Wvfms+vHl4/+7D+/dzrnU/Zy3eT6gxi1rTRek2WKLIslGDhQ4H95KTg1ViV3vWpavYXcOOCtZLj6o5OA6u2oNEDR7Q7cWtb7g1ulRxd2Jf44wl9hwhfzAocV4f+rFvfvQz3/r4Gy8fHpoPvB1HcV6+w8ff+9bT7715+r3vvfnu0/3+4v70qDdP55wzR7GqCWiqb+y1hs3jfAEdvLce71ij+93j6luPpSm0nYxmtKhjcAff3xff3iXg6Uawv3m8JN69u9eLfqHvft8Pf/SP/zM/+/mbr/7av/07vb7xUq3jvJ9Txeqa+3IPx8hj3PRVLV9j+cUlZQwhHl2Se0U3A0DwzsBol1N42khcrisuUrDLCANXqbe3obdvgP/jAGT0gRCXTMtFvUPQ3DpDxCY5b7o1ZTC2SuUScC4axthVN+sa6EvxIiH3Mf9GA4t4B+5kBLYq+nnMqMlJI+4ywbbZbnlWi9PDCfUfPIFnqVfhSIglR3UgWEaZDhkwi6u1NcJKhPQ708p01gJx1X1uv+Owo5oU5ALuQJek1kzBbU2ac/bQ+6xnp9gciqjKd60pgZMaoguzurBElNrcpcmkHkni0REbarnmsQ3G7CREknMXZhzTCsCaAdl2IIl/AabYsPNHEQe5CtvQZ6M0Y2DV0V5kCmDIQ1vZSaaKy0esjqKLdW1MFztOkpGsQrIV9ITCLv+rSHNTAxnTr90xy+qLgI5agFMwsYbtdxxGqQorrYtrHptX7+/hqkEQt71mw6ul0/U8w2d5WInKmLBbAMlNWkDenRpkITTa7sS3HxNklXL+Wnol7qbZtbHzoCAn691HG/YzD7Jtc0GaO98PJLqb6MsqVbfgE8RiMriUphQQmL3zQeJnM3K5i9cXWfdVTVKDUbPoM21fJG0+kdPQwdTQAhxIClAVIq3eIsiM9wXr3L4az7xj2rIIHvzIOj/VZKnrfG+e8kXt2sIH1+CSx5gMw8+JqDikVIkieQxUVHuCWF3cQrPgDeDy70wLK7+tBN/ZQs6U/a4Jfd8HYhsAsIEzHO6IWFm5ZyF7vvb+c/syjDIbPcIIcf6KFLlSVJaZB3thsU325XDbsySvNH28IgF9hmzy1MfkBIbsgVdDEbOmirNoXN/uPxV9NvYwyapuebKTY/5qgahqaZoN2uyCGKHRIFdNU2LpXKOuFk5JdqA35mJdxG4zVMAcM5EgBxSdsdbeR9uUimaJzoEGZCp7m8EZVI2qcJ4ea0B0spqdtzTszpIDTJm4SfWs1Gn+lOLssxkbejenM4RUw1WeAcqA9F76xOgk1yYWGNjblCM24eJwHOZmZtXXCvDkLYYNSBpXXjWQ5thpIomsArfAPNWuy81p74Jjl+G1r6I7b6ELZ0ruMOYbgqtNi+5sqb2jgeLUuhA66GJFMqDny7s7q3AE/mEaSnG5gAVlcoDypMhuEfIx9nIcu4nuQCKiiFkZwmbKHucSmtoLLYACpmKvlbiMNFQZ0NrBNm28B2OH+Rbm+bkPK66Lb+NgIDuIXZmpSfMbhxo15HgJkAXK3o0MAhZLyj68wV9rEhHvL++fvfnBvw+/+F//2R/4fa/+xq99+3vffvv2y3r//vHxw/3p8Vw45olr3Vuce4YqZzg6UfRAcamAOYn2fo4CC92uJyCovder5jjK5OEUF2K1xjqcebqgAy+oPvooPpQ7NkRQEK0FHLCOqenpPtYA0sc1v+9bn/7hH/7mD754dTu66qRm1hDzye346OGjH/704w/f+Pjb77969/bpi/f3Lx7P73zx5s3TeipqET0HaqoaqBaHT9DtZdXt5Xkf9R339bjGcbeOA6enUGthWcbCwfl0/6LP8919nbgXUPj+b75+qPP9qcGLxW//1E9968/+Mz/7r3/5+Jv/wQlVn9ALSo27eKs5RXgE1DPbfjqjjUGmNyhuymtBgDhSe8/crpHr8B3cN0PeJ8PUeS48It0PrgzLKtzQo1BBjfJTK72pPAoJgNNLq+LRZq9C+HjvQXpfoLIUJRf8WZMafmqoqFPTOmhf9aBgO1tumKU2vMkoRjx1O/KCeSjecnQFFOWTLN2ZYCq2kpCy+LC83NGcvT1DAUKc1qGQIwkgz2vrrulcu7YxzhHmRUf0kUUKsH33rnxpOzUrAmOY4eLH4/mmXYv0VKYmckEBS9k3awAkWMKIKK2pai2ooRneGrJ5ppprRmRrU70EnVLSL4lrBsISR5yFlUEoSxM9ZFTyEJUrc01VrU1fu0Eh6HrOSgXnF4vpN0HsxDABwQdxhCeIHgRNRSqXucS7I89cunMAdjgtWcG6C5Mc6EhRPDBdgfjJsMc1y8SXjRmNIlpU5t+1hxGuNC9X7rULoNw5+rLOGZWrr8qGlX1WiZKfk/+VdgdO2khF6SkF32WD9VhTxUil0gNzdwl7ykEbOCPsz5+ZuErP4hwJ/xLX8jFdHJuBmN83s7ipN7g3zGH29qvNKEc83CkY+DxPWHtsB9vb1gfaJq0FDi3rVx093ibdLqS4hAOCONZ17TpZPpdJrGTsYunOrBGpSA4gNwUFTnbnSmO71nj+rYMVvaRHbVReY/e1lgoApnYzb72SVl0u9QH9UYQtwzPZsQUBxdoj04FAqA042ndmS1/98sKY2nnQjZT2UZl4GSDbB3NUE0jif7WPvnmPIJtMc5ewY2xnIKFG+YyuaRTMfldSpt5s0+Pa5tI6+QlHM3dNJOWTQbTCSxxCk5f77Pbgrwnbpu58Dmmqi5vQGqAL0LiMcFtuSdic8bIRdThiH74vuKG3/ULUqbZI0VE4/RpyYZTPv9Fcr6GHUfi1Ya+N2HrcBySKteyw56fk1+uQ0LMWOnDsWi5jZXwykPBFL2fmawGtSDtdmwugwXrfiW0uGtDA/zBDD7o3rO4HGHUIMYVQx4bAOuUqWLQ9BcEF7DEDV8cuysun52vMYuACANv/ZxNGzuQKuaoMtV9Exo6Zyd3EnhlKbHkWGKqINV68zctgG3u0yy0oUtzjam+CF4EW8zkc69ITugOZZnlQ5+IZsISyB5Zq4qxxFE7nUrBdyVwl1zV1sz+xnUd1nSTYl83I6gXspC2Q3M85PDgXSezQkNxKRSX1p0nZYZvwZVz5/qm3MmYsqpvbAGpQYNtWjcgCuMW6Qem5Y0hMtm21pLm9+ak/8ekf+6d/8tVPrN/8a7/xxW+fb7/UF+/f3B859zkFnbifS0MJc0rG9Ai1dweKp3AUeg5QNVUeJjecDZS6mkQ1Htr5p7qxRGgVerxguvuA+igR7HrRxaO6mEFT+wUFQ1gV/Q+hWlio+eShf/8PfesP/9gP/sDLW899WLPcWxd7eF/F8zX604f5+KNv3D+5v5v54vH8/P2nv/HdL3/ne+/enzOog11VrDprPT09ibg/PdXBW5HsR+phzf1JIYYO4qzJdg3fkpnqvveHWnrifHlqzubRn2i9bOElHlWvfu+P/N0/+PQX/si/9uYv/+7/782Nr4BHUOzGqLHUPcv6srSlVZaDZgHXSh0imFwnVSsdZU4etkUooMhNjRZm4IRp5nM5fa4j5gfAhWW79dCdE1gpoINcB1hMoy3x8C8rYrL/wmkzAL62RTvslwezppQBYAsTgWuAi4E7XDBqD5rlJyLjmCDTfSAVf7hgXSCHPL7bwASfJnRBVxQjHeYzcgw0Da5IW/3qKurwYl9ZOrHiSy1gjPG03T/TJUQu62mjhTiRYhsjJIIoTUSo6jCXDmzTXi6TRM7nnT7+1pkCgKFGSRyv/y3rWXaEJheiAmljkekupMscldLYn2+wBmt5+F1jSmbSe5fxJ1nlFG3v7NdRGQRVkviYfpZ7kd2R7dQMIMtClBcZ5mqxyq0DwFjq1db9i1hxPl6YadZai0dSzLaLTkH8PNSFQXxkPfcJepH7ZsJm0HszlfGSK+Up7wg55rUP+pXJMBhX3leid/bNEJaBOk60Ym6TuXvw5ZKAO9PK7xqomQG7orcLm0/P4BnTsibGCvkUl75a/gv7gySZLKjlX0mXdRumWsjUum1pE+5LJatHXEgyfcdWDsaALt3hLgRJ0lPrzJh1jtpag6M4XdJxI0YlDyEv7b93hEyM0saHwppc8wZbDE1FGkAjQykrI9gaexwb77Jb5YCHCxAXveQezGMahybGDji5UmxgdWH8deRn5lr3tBLaTUNHfcCMSjChmBVxnpzyJ2U9l5UJs21tdnizlsOR1iAjPTqZiOGyCs9uDxY2+3pUhJjoamoMp7sgF5hc4MDrWgqxoprKVPPMIL0xIuiJAbJlPeliAs1U2JRd9du1QoQKLV/xEgYLd6Pes0w4eMLdFIbbIIMwqAJZIivuKuOnc4RJA1h9QCP1gjkNZc9ZUpURJQ9oQqxaXEDhoGamvRlCEqoiyvMsf7xecBr/lfB1ziaTXDNBPCEAS14FgUROkqNBgUvqkSqo5bis9owad0Eo2I7r8vwEBjpyEkJUe7LFxF7U5omkupyjxOBgjC+WgzXccUMG//w7V8TtG3VToaKx86vd1Hk6eDOOJjMYaAOHsIzsKcFWo66KHZT7BA6i5Df+YEEKI53hBkAYYzIvsbqQySFGMdVLFJ1866/dGELZjG7BVMkDRO7wINROrtpt0vYCpvOvi/wMFppWl8RFr8tISJbrawsRnIwNnhrZJkYzOCixZlv4hhP5Wn2f6Ex48GkGvLAxD2T4SPiHO0hr0QQYbIehraYyDwS51NhS/GUJdpGaadC7TSxg6TKndwSOOB/utxd/5t0v/rk//uL77n/zV7/95e+9ffwe3nx4erw/znnTYK1ea0Y6ZzhtV8poe8WpJYE3P5xu4giZWLyxPa512DsFR5M2SCCWVi1OhZ9VsWfqYAPVdTtQxaOVjryFOhBHGyZnsgTciA8Ln73sn//R7/u5H/2+b704ep3nkFwDkb24WiBraah111D66MXDK+mzF8ePfPr6Rz998be+8e43v/flu/ucwlpL04t89dGrF603x7v7nRoexXo6PjzV6vssZPlwgyytcIcEzzULfdNar9f7J+nLefXw9uWLT1821iwerK+6P3r787/42Rdf/cT/6V/6T7/61UXDe+W6x6r9g1qA3VmgU0Tc3ONANzJ1Yv9heSkl0PHCWqkBFInFLhx8nidqh/Dsy5MX3HkVAbX2Jg1AjHeUIVtWPLhVwZ9zAVDV9o4hQ3V5Hj8XGhGPSAaADCW6RnJgsWR11tdgTVxMGg2l7C2y29vU5bRyC7St7NDC0nb4iM+Ia8kEs0szGDjXDqVEDAQiVu+6MBt6Fburu4UF2zB4uP7ZvF8hEYDYXBjy3ejALpVikZymKvSwJ2EgkVaIG8bxLplIHGYMAWvANVuTRjpNaVLU+6FWB4+9NZnX5F9XlP13HLxifONO8ATlHUPLBoUwFFhZVaIBQLQcxi3HWtZMPE+4XZJbL3ph2qsazAEidkYGuaYIs+7+gBP15dirBddkQSmuTggamg1Q1rbN1SjkeG2TZdtcbDtEYIOELpgDaE5o8IgSBO5cs8vrjPWisAz8uz+wCQPoMgBMN2Vip1I0Yr/l/Vi2gAjBki3y+TpznCxnE/As446VeR5UrOXSQgcGUBoP2e0bQnZnXGfbbzHdAUWqsSciz51u7Su1t24G8rOqIFpNb3ny3EZm5JXqwXl3zypjVFhYiVDysEhzidl6ZAlGgUe5jd1yadmbHcC2udz5O5V6JRJha+gu5MyWxhsMPqI6KYLVlPH5IcBqablb8COf4AOYBcz4+iKhZVCcBYNYjOk7d8kjYXt/OGYZGgEq81Rp8X1KCjjjm7ptXmEYYAQTOCMg43sha7U5gCKXFfuuqZZ2Ue7qYDKNTw26oOLaoKkBn5gBsuwUfmWFQLdX08HBZFGKqNbzIcv/dBmIDMEL8m8ydJtleeW33LBNjVy05W9aEFR0s+6MV2PEA03Q0quxG4QNrIrFlvETrwiHNYAVOZb7Jws64h2oM3USq8CZ5ZFvC5MGtuFg7pyXOrvCnos5zivjRW8yErJsstJ4C1Qobu3xCTPT56SpgE3cCSvmVY6akpgJNktORqp4LEQsNzbeQg4sYsHwPDLrfmKCM2y8AdAeqHYnZcg9Y3iIhujqRD0YyMBtKf9dBmSEIzCahxXwLEE7Q9BpUFnLsPlG/G0stzaOvn9WbbPbUZT1GxRTiQsx23E5HT3xZiNqzzmQuqaorcc0OMdMzc7XMZHoX3eXEjFCcRqcBV6wzVzPh4A4o6quGMDKOZzLuG0lzrtQH3hW3QnXXydVgfGBVF2062gyBQDnVPMy4V2y3WzYFQLC74p1am5OGdU+Xov0phWZva2ZmjKyyVoa3fmHf/5nfuRfeF8P6zf/+u+8+fz+/sv15dsP5yN7vVo85xGC7vc7JfZhp726yNoi1UcJlX+ogx73rvaLIg8ewlGqLhSripg1HuSUjRcOkbJV0KquPlBOnTZqJCW1FnEAWSFPVrWaPLWqbz/5Q9/8gz/8/T/4kjOOChws77u8yWLKUh9rOAXN49xXCw/Ay7p/8tHLb716+IFvfPy3Pv/wvXfvHu/zNOu+1vC4vejjqR7fztOHpycJt14qjR5xFjlo3JYpPM/rDRfrOPgOeKknrYe6L/3W995P1Y/90Ef98YcPTy9xvhzqo0+++MV/6Aff/+7D/+V/8Wvv/tbb16+OwXna08QjKHVwPclyxNJ2bVSVhwg1HvidzcmTpN3SaZQMCQm7WTRIICkL3V3lKz31JMuaDNw7BC03ErYASXBJNbtzL4UTcBvtjTWeGwgG4KGJxEhP9MXCykFhHB4Ke+mKFe9B/lLIiYs4koSjTEUb6UjBV8DiYM1i1wbyuT2VuSuTfIXweGmDk+3NGRLKdh5OihrXY4KeC07jnFDapAJmIdszqzwZR67dDAPEQZ7SxhS8aZEneRCQlgl8hiQJ+LdGs3slIyZaRA2WCbS8sAJHa0dSRF4F2Pyd9q5XsaaBVSmnPVi6oe2VuvWs+6xxzB8teDRJMCtsl8zxJASHbYB4r0b1N0vCQZcL52gHnK+sSnQntNcdIc3ABWJYuOmW3++mWcs2A5DtGrHc7sG1yqIYO4UVrBhRDl0wj6d2VCx4z2ntQjslbqqseEJc7iqg2CWgYU/sXAZ4mKosi7Rmws8fkjWWkWGK2MtMq9oLmjEznn4wHkvtZtDnkj5Es/OdoT4vYKhLEgLbV7hdtTtI/DIsI8xPdAhQMvAWeljUvwIDVyfTwVBdiesSqFso40EQ3xH5ZK1BaeX7MQAeAoSaO0dmdGVZ4Tqq5yT9BlKKou18hsNV5iwM0XSLEfGVScqRvdBdDhk567UvszfOONTNtm65qCdWuWBFueQ6kFPbDgptcLlc9pePBBs43WbLPqTASMeR7jBmPxFybS98Rj7OHWykyoQIhdEivVJXlE3oAdoIRJTb2eXxht3h+2DFj8T6R+8Zwdp8rrgH4YMSSaNuLT8ZLXL/LEQDmM6VtOtbXGq2nONaNGIUxxeVXMUqmX5O2xEpKABqkRgSyw2y5CW7lJ6WB5Np00VXP1sBQ0D3YUfWscwWmB+Qd50j/U2zMGJpStDqlMTuHAGCRzrEYhm6UTa8+iIu03M2ND6MF7rnpO/fMZC0dkzTFq3YYVE7S0GsJWV+cw+3e3bZLjiDtLiJJoECsDTYTRY1QI+E5Y6hls34KQ1WKBsBZcmb1XnW7gnQSgXPgi2K9jBR4AZtf0i/ZpU8H+uOTajNxGxS0fOGy2d7xPwKzGTkN6ENhV5M4e0ftf+156qXENdLbulcYHNyA/kXM7eQLTJkpmPMZHixDSOUVRRreadVo9MT3NylRG3YyM349T3TpQaVzEUNVsU9Ax1nwego/QKtxUWsT45Q4Rs4NcojFL0pXEDWShphk9togKyWL7skT9JFJxSjocvTZ3zqOgW9UQ9RJr1tl+EsQPdxErvR57CJOXD0QK3VtyBbt9XnHfWi3h9f4bs/+KfwE//ixz/++979+q/92ps3j9/73vrw5sNo3UWtOQsL635y5sj8ELUSd4sPopNNV3UVa2EBbCz20bcwigeoOtG3Mg+hGddVG561LvTAQHx5HK/Ya0/FrHOqjPtwlsB7FdeczRKgkwtTffzcN/pnfvDjTx6O9fRu2MBtCp6AHi4Was3obFqk12JhBqWnJQK11mv0jz28+Pib8zt9/877xy8f1zv2ExYxnz7Uu2bfjvXu6f4eL3p4o9AYoc67V5ytOhvAmukSHudlD9joc+4oPs2X33v32atXN5QennioDzx+fn768van/9wP/Qb+g//of/wz7+fL/nitd0McR3FhTt11PzwTBcor09o7ZFYGkO1FjVrBELL8FNlEVxseVAB5YUfbAaq0AyCx/aTc8rrFh3G4rZUJAKsdPmVTMQwx1DGe+5AoO23vgzn7os2+8wrs7sIi04TRIuSqGmV1uHa9VcIqFVDi6Siu/JXZCG6B1x2N+xYEHrn9VnRGBScBwfxaZg1r1/QeTFQBR9eux5zDl/aGHiCllM3EpGC6z2C1A6T8txwpk1QNJRUB3vakYO2vXVnCFD+OKgWoB5FkZKadXKc8FHkutDcXcfPLDDVLokgv5wLpfZxJ+j3wihu4jNf9xCKXONJddZd1uPfAJ4RYIOMXYV8seohwGrXx1a0PmQs5due6gc/a2LpAlJHAGtdRyuKHZyN4ald6btWqZgbjwqBZ6xRbK6HequvKk85uEGef9Tycq9mubGlLdiNA7zQMz8GooKF9JIPMaBEtLP8npVUWXPB7HoEAUdC0Xd0DlpapIRvAePLAr7RyQ5DDL21TIn9klwkwEhkPsmBFkc+NL8KCsz9qT4mmJnJ3zy39kqgYdhF8Hmj3rMUuuPbouqx0sjh44rIEhL5jgob/8mieiybULDdy/kOlEti3ovJju6kVdBx1iLYcw5HJDAsOdRQviNwldFA/1prx2rX98CqOHlJapgIpVsfEEReRP8pcI1KNLER8BPHCLWcO8mmmiue4qy0szeGpNGBUbesq1nW0Y1IOKMm7XB1ZiWiL4KhLVDQT6y9GQKgqaFnlGeHzpINw5xvJvuOTribHBzKQEROYsbFb5rTCMIEbpV2HuU+0I68orlSe0ei7J5UDXvBmQVcVRIPMBe+4xQxAT5j0SGx/HdNUXNY+5B47IUB0kDndqxmFj39ZqFwrTClOUTKrRS3LI33jixizAIXukY5tqKaK1bFD+5Rum/YGdOwJuGheJaBmCC61bR0BrvzLcsmovaPO18oxXvaX2vVtDDT2/VYYqxwTP/4SDLS7louQ3rd7u/6Yjo1Wh7GF8w9VcJhwYe09tdlj4j5jVtUR6/AACNxxDkmcBtEN0mfUYa//NShXlD2PN1i/BFheGe1thYpZ+7a6bTB8lSkhHygEHIi8cxmUUIKxskUz1Ssytm13zemjYmNm0H7ZIThb2TAeQXMaXpe1WmAU60O3q2F1aTRYldWASJQn99iS9qA3x4kvkc84B0cRVknVuAKe44djTpoz1yA7jMHyZCWM+K/lkHAfv5FXMRz+cD2WPwTSUA3QQEY9hoZ/qiYbElU4W3XeiufJm/C03tQXP/Dz3/qv/oW/5/azX/zqL3/+nW/Pd3/nw4e3M+Q68bQGeljvn+6xBbTDgwgWeDbK2CDXgQYPzvCGg41W4dbFbqLQ4f2PDuIkycy54+Te+SCp+uGGW4NgNQhVR0qQbtqk8wjACR1kl2ad3/fJxz/+zVc/+PFnwNO5ilXVLNl5YNvKso2TeQZNto4FcdxVxwzus8j65OHVy+9/9dG79999++H33r5/cz49qgvnqj74kuzBuycQqhLW/RTZDQ2HOoiZyrzYzEDzJDzYCLLfP+k73/3iuH322a0fca/Hrhe3t/enTz/Vn/8zf2L+8vGX/p1fefX46lV9etfj03rkzI0v5tB4IL1Y1Dkl+wLWOuzwSrv5Viq6DvhIK4ddddlqSQ2XGbhgbrtvlpdnrQoHlYkLE/dMbAcFaWWm0eeuXftdd6NSdeh5vsmVO7J+1TpuJWOEvAh8vQDmLzNmKlB0rl4bTMtIkO+ZtmQrNvjMB0Zo6MEnK2Od1TbBv50Cd2GvEyj7exkPBq11q2IlFI9pjULHajRJ1tU0zKOE9TedaKOmLbEOMEKMAwY1pqxn0RUxhHiwRNjsNS2CVsU2nHNeu2DGYhuIqrWss1hQLLK7TYRPb4swApphc+ShsoxZVa1MO4On9x3NzHABs0ZL40kf6Koct3KKEqSVWRxLlIDRVkAjNx7e0GHsYlfB1jFFoKGBOWhsaqC4WRna9DMiqIHwTEOCxFpgaxU7TtSRwmRwbwIxR9gD6nlIHNx1RLBaPxlMbXWa0+P+JpuY0s71wnZjiAWE4SExGBEzCGwrHc9D0pKgteclnekG0QKn/toNRYYzMkE9Zmz8k1OK2IZU9Gpgr6/w5ZU759nFf4CtVCTXD+LVmZDctwQFYnuPcaCqrTnSVnMB5lrAKJUmQ6CUqjiq0vIbX37JVoyN+gSOpbNW4YjWMOGCoo4e2+tS2x/KB+5qKduD95ZgTrmdkzZ8QARu5TAuSlshb+cruvFxbPKrL+YW+50PiZt414BoYvlkF+YcC6IUIpEUWWRH7XSUtKdqBHQqCPduCjFx6R5BqhSm0N/BTjNulhZVR1Ox7nRI3lBGQci6BcPJKSIzphWid0cfXvHcTZcZQcuFU1oTmOXLPVhb1YBNL5N7+XHtyUbslprcDeouXi15RIVYgZYlemWwG4RcyHNIEVo62vBMXxJ1sqo4sdp0f3zz1Rus+FDKigt2aTxhYHre9S8oLdOwrnuNaSyixpMBQttwjc58NiBSqk0AOCBj/C5PYzdXIQtDCyzxKP9NblfaqUzrYr+7QAi7E7Bfba7mJgdsaZEydyVupWQMVZJuUAB0QKcRC3fmLiGh5XNmQMyx2YL8y5tOgcFTswfl2vq1ncqd+p8BEfkberDHM6Bz+YSghrNxaf8+P8xtXS2yhWUfUVP0md71szFzRS8nQk6qiw5bUUxsT4qwLtNFvPt4T7pFFbDJXbO9uioEPTerlcJhpVLco7+VMB9H7LLqWYs8fIWLprt2RtzPEyTOsR1iGKI0M0hUV1ZP08xeOm0rjx3WNoZglPDKQbb+h1ArSKVvnPZ7YAq0SiinsA7aw52zVLPq9vCw6s3jFy9+iv/gX/i5b/7C8ct/469+79f5xXcfH988rel1n8fFOYk1p3jO0tmU1TiaMkI3U+qqiRonI6IsFlilowes2gVlF+wJjMEQXZqTpbXSGh0HycZDH0fBLG8X2kk0oAhmphsiquzv2Jr7Q+n7Pvv4J77x8UueWstsKiRqneLmZRYx3QWWxzrLk1KFA7dlxdBQvbrPG4+XH7381sPx2dG/9eH9dz58+PDh3nXcDtargm5va8AT4uPZI3lCsxorlBG4cJJr8CQeZzCaqvri6X58/m4an350axZPqM/j3Zuf/uFv/f3/In/9O/jOX9Lr2+t5ocU7hhZ/LdmCz2iPUiaRdiuTdpHdWFMlLU1lbsA4IwzuGDDKlaC2O5Svk2+LFQnDoIQW67gIt/Q0Wcx9qv00ItGh/N5UGmex5EXvBQze5eTn2sMDwUbd3LEseCLvKoPptK9Zxn604cnnCOVOJgucwhLXFUIK1wzkKMYQzzaTc16qo2a0Sy1gtkKqVGJMF3iz4mLXfHvMP6EGie3+KK4bvRrBQDlgimMswrJOqjF71VEwv9oRhAPsQQ/ly3hkAMBSgqG05NqukuIdJOyw2E2QMDClWBZ66aooZJhhTQIeNDWz1ppRLXEG2wEy/TegXSI6LF2UCrgtC/xeDGJ4QZdPEtJTwiYF4FaLK0Esx0r+xErJAcsd4p42mKnSqUjg9l+fJXnfiB+Ws/OGtgZGxnJs/d6CpysqFm3GwoprImAcvaHJdh97Zi/3zoU5LR3fuGoQhqvKgiGw4IuVzjRthM2jSAh70Nay9PAOSYuLu91S2bhOwEw0Grpei640LmdkJyOET9aIPeGJN8yU7OSBfphYcqmRXsWVwoR1sLZmHDypOuHCzOjMeCPO1dEgKxLAaWEQiI+q1QTYyxjcFIjyfS9QdYgZhcprS207yzM6yoQosH1/DIN5BsJG7BEAx6r3ekDogt0VHRDcGTAV1RajWPIGb3ryYGIX75P5A/Vo0Z3NwGYJG7nmSLcUesEcU4B5zij4asgA70q0/NuyFdBnHimTlWgQ/MDNDMelbRrehMVgGgamSQgRDjhlIBtH0rBhtyOuT0YjVLFKExmEOdQMb21c0i8Dnu1MAsqYgkX0bm2iQedVncjDAlXOC7OsAgbxfOMLnKOpWTXdh+crQQu1iP3YxqH4hvbQZ6JSMIo0tsp07LZHDms7gMfmcPjde1yTAzY2Qz0Z55tjf0OHvya8Ta4h154tlzQEgBs1snWBparIrKKQrhw1eQ6ObXBG2sJ9o8Fld3d41JxHcclOBTkg8hA1jCcLWH7aosae8lJOOwFyCHgFHpzEBc8IpLfGnqjxz9h/K1Dpc4Nvfm0qLSFE4XTjm6VOm18t0h5Qz0CK0rPAuX+jSHoecoE8HrTL3Lpc8YKB7AqADZyO2nvFBcSruje2pRhXpLU1gGxGx/A7wjZnQrlU4+ulgbly/zaTbuYRPONAgt4UmqIjTyfHIAVZYahnQ4HcTrK8NpnicGFQPFKtmLY0/xXXvegmE50iTtvnKZ3Ftj8wFmqx17HTdB2Li01Jq/mi62FenI96eoX/wp/9yZ/8k69+4/d+6W/8tae3v1tvv3h/Tteap6U1wqqZdZ5ba1lYupM3iLEDU6K2s0U3qsgCS9V7P2J7o2aWXZxTJY5HTu1PsIAaYAn10MdR3i5SweJAoTWnNw64n++NDII6hU843/rGxx89HJhRhpqMLGs1jtMjJZS4qMZJpA0QcUyxPfgz7CLAJdZ04eWrh1dHv/5wvHh/+73vrA9PdzZvXZ++fqg+TcfOPJ0r8Vdj67E1pUZBrB6By/1p8da4P+q7etcHHzgW5NxUj/enz/X4C3/w9dM/+w/8b3/3r3znP//uy9uLuvV66oWamoOSiz2RavGpPGjPUTe9+yADkbNPe+6XC/7tGusUkWCYWa5cnSQpR8kt5tzITqUtzj7BfY3L8SneCwUtVcHGMykYmdIEaHAwFzghgldpDSOdtM9EMAJ/BuehwthowUh5eeZ5nDkq+S9yJm3jE7iscuBxsnXh7Iyn5Z/pYsJoDMiZBZ+E3FvvLZztMjG0XNdFXQCE+IMhMAcA73mHs56HEOaKXmz1DmaOkGMXhhQG2uNBcbOoRDGghkm9GE550SPd2pOZnPanP1hWPZRZ2e3fk/kxG6egsdbVQs74k9R5YsWhI1CpfRW2+Iugh34ZxtcyWrclhVnj98CAVVdP5/CV5Iep0gxWRqOrPac0Bn2Z5pGCcGRIQaV0HFsZYt4kDBUxIRUN0Zgkikxt0vhevRvTThbdHu7TA1aCuvYInhdVEVhTnQhsfaFqbQzcLkhC0x1rVQ1W7b6UwkjW07hB9jKmi33gc2cPTQggj99uTIrwIKbba0vyEQ1AxAF5Ddq+XQKpGtuoZ24x3ETgPhP78sIyf1aIGGmqyq1RrCEB2pGQw6ndo7sSGDl/Gmf1qDTyWXb/CIBDHShgTkELOFC4QA03m8sCYhRbK0VnQUCVjfSIEZYCSkaeFJhQmQQGAmTbhU62sgHc8brPNOHoU6ran1HhajQV7x0P88gdExBTn/H11lWB+9t6LDATJDkTm4CKz4hx1QwWC6MBT38Urwp11OSoC8AQqsTj/YN8A9L+QNE92RrX53f85H3uA0SIBau5veLD1l3BgpiaMmeoCHSRNcF23SfXlo07Q3j01N2znv9hfBLCHezeoWx85HfkX9EZzE0VL82IrKKLMpXhS0dTqzvGS0HkvmDsEcf80Mr3QBBoE3zpsi3xuP48USdS7FW1+/OCpou2A+yqanZXH+rmUVXgARWrDhz+r1V9WPkpWIQ9wYOStgGXM5Me0zW7e/qAxLAmvqqGmTEyPWfbegs7jB65Lyy63DIclmIWBGc2DCNYFugn0WkI8q484OU6SpplJsT60OgOzVYnZCdaYA+hO0Qx49zQpPkznJSJqEAZuGbAzF7lukgpJbgzy4xWUuU40SnNQLA/p2ksqXV9JzAuB5IbNBujW+XHFD051hYLV8IGCC0Zv1IargBWObOKCh87LPhmaTQo7toSKbOMcyl3CZt7Nly0DG7JQ9/ORZ36XhIxhE4A2vZf2N2auzjJ5VFwhEArV/Jlw6NB3hjNyrBL0+tJ1q1A9Vp6d3/707/4I3/vP/Ez37n/9V//1W+/+42Hz998OFf3yfPu08lzpOG2U5HWuYuzAkelPdAFehLT590mIcTmo6iZUZ8jCqXwnLO0a4TTcok+eCNZZZz5QFE91UR2MrbaIzxJjSKgYwaFh5uO5oCnyln/5LmMadQsramJRY7adXEBN/dKqKPQ6FvrYDx9iOMYfvLyxfd//MkPvXz9A5998tknL49ZzXnoen07Pnl9++yTfnggS9Vl5z9BrOpqZ1zERmTW0tznfDqh2/3kF58/vnn/Yd31XvNu3d+v+d7TOtbnf98/8JP/pX/+j/CHv1r3d7fHhwc9DHAQFu5UcTTQoDrr5KpiIkvbMuYuONw40R/GXkvbV47p/JHxRGOYU7tFJdnBTYW6SGwIAYa+Jun2LYrljlxCuWqUwK1BSNbyQeqqXCzfa6O1AmcgNFtOBSGulRgoL6/zB3FssORSWgwpyxWfmd0cprHJV/RIEwnuJayxw/K/9ZQrRwbCgs76ORagtnmG4qweXB1EJCYexXJ5PhgobkAob11YKZurwFPnRvP812koL94hu5YUaA185DpR9SX4SmvWrDUY17sDjv04SXQ594JkVMUjqdbgtNP+yfvSzOncPsB9znNmab8qzczmZNPxFDh+flXwTmGZlnZrUALFJWJParrNQ1BWHG45neetOrF/hssJxvczbw8zNcISZs2y4t8nZmSxrzOdAgI7V2gsKZbDqGvTHGEmDwuk0RnRdrVMRnJNElSMlBn2ImySP2pza4LdkFM9U0wNEwAVW4JKdwkO2NxAWt5+BkWSbIzCJwWBJIviymRhxCHqnRFclvt7M+NZTioKvkfAGJ6wEhUAts0dnXchd3mTXt/UgtH/ASszg/DkBctc166tSLBqo9AELVROQsu3CSiH/H73AiNNnf4eC0n7s9OelQEpbBuCuiyLjprFT5q4Mjvych3GxpvDmDEZjbi+dnm6CWhdnYDhNCI2npQPRkG2LnUlMQ3u6fU+CpnxG0NdJGM0anDY3EpqUvdNzltGYeGOHFWoIYplINOfn7qEBRiPO1uWsgkCFyIhF3Z94BoCZujd0UO6YMmsSHdRlfdIY/PuGgi09Z30EXFlZV7f9zhKHUfYij1kip6lXVbXfsv7yKWzRRFsNVmsmrbznQF+Bp8XtyDIgYY1XGRfj8O0mNkv761OneHyLtkBSG/kWC6dg2V3UXjrGwFWj1zuIhVh0aMLnoLd0VdslIXUxFHF7iYL7ZUFB1Cog+zCUW1A1zW4izv///bOG5ThqMNFG51zDaVAcQDxeXB3EHn87vRBTKFSYuc6ZksCCNhTwBUs6oKx/V7yN9xtIaU6aPjFZs8WfAcHqCD2qXP91AYlQqZCqJ3EXU8k2Gae1tOL5hEolQbxhU4o9CuLvIDAXnGTS7BTizdYXaffe44nx0yzghqaVsbzYMasFZLPAhVjbkEyKF5lkeyPN7AU5wD3wYb7bzMy4WG3c8KemAbKTCj2I9jtgwPTRYCNfLw3uBaJWcju2gwb6NHHSX0H1wJ5xxbIEOTBPebkdOLXTk+nTFQURkGkB+E8evXjhy9e/b77n/wnf47f0N/45d/43m+8W+9vdRI8Hhfus55G511zP3Weu/s0XpsshwLbQ8yL4Sdtglc7hFSGJaas1RjW/Zzz9PuW2RkRstk9SbACLJuaSSmb6KURpVWATmQr1lpzzpKwjAovWZy6UPexckTn4EnQ4glMlySt0y2WK5gbq7wPnGSxH3yd3QqsTx/4rZf9/Uf96Kcfffry4eHQceDlC7y+8ZNPj29+8vDikA2Bj6oiUZrFYtowFqrA4Vr14Y73T+f91OPj05df3d+8fb8+PJ3nvL/jfDo+/3ye5nf/1D/+03/yz/3s2/5q1oGqF4fKtwxVZDt1JwhYSmZPPIBUCbtttOTQZbQJ/4qdbUirknsxebbumCKKYyhx03s4y4nNwWTZPM5DhSNgaWQFcIKK62Je60OAjYHZSQ0141mGXfPxGXJD/F4KU6Tbndrdg2MjYeQqgKkruqscS7wTYoRn+7etqKewgrBjyLKoSIn7ZNV2PWokk4/JhzWAY1d6bn9VJTfDFWkZrgjoRm4kbMBRX9VBosScqdqJ1l6+4FRF0TNvMrAJiJhZmGh2Zow3WB9XXo9KoKDmwZ6mDIRVG2cbEVN1zmhhBgu4i7OscNWIOvOQF2o0c65IvxugGoVZpfFczyQR6fmO+lYHF3H/WbvW94qtCb2AU5DhgPGQm/dBxJsHCX8bMnW+k4ZcC+cdM4ZHmHVzNBPl06ddYvqWiP7uAXwsSpGAlsMxC4OZXUhqDL1edeoGNP3SZXcYo0QbVbRfTj4pzQoPLzkTFtMLT8yTtHt04zvpAPwozK6KvF9AoR9kleluKsuZcwVHAGYVm3G5EoJT7093wdYca8wW3brTpy3qIEmssXwsWYebPOv9ni+ZEpBRNkqqTjFua0HrcspTSboc7VZGFgYcrZKnsdPygh6hdKs79mzLxTae7Cs+ULFL6TuocIhy3+YRInc9g3RlhtGYQT35pSgj3nlx5cV3LpflghS73uzw7GUUjjXUWiesTXsmi4BYXu9KhX4MviDj57qPY67PWn6ttv6zOIRSecVQ9CrBW8BCi4SXjmq3GD66QwcyLpf7hP3nL6ndxOkGgNYehHAJpFTGWOm+4+dqjpDD3TwjoTAECSlhSdtTOcC7DdRAYfkuRnDhh1L2gmCBsmwgwKlbvKpCy7Wtqmj00jROuvn0RelL7SJnFU35O8+eww6YQoilSDi/VqXW6dYuvWEqOTi8kHAdeIzozV5E8f9P1b9225ZtR4FYRB9z7XMy816udCVBSejBUwKDQJSKokEVwlCGRivMy6bRmr+4+Qf4b/oX2GUwRq4CdKUr3Vfmeey911qz9/CHiLF2IoR0dfLk3mvNOUZ/RESPPgSKs5ZqzSFd6ljFg1PAARb64Hkhq6Y4cVTy7XCVOCONGg8FL2d6N/hITp7UnHEw2NzrRunyZ4I1MsSYk0pfuNlp90S5R8CUrwIk+A4FSLYUx20ek443fKdHEbYr86mAaVO2cPVbj+Bdlp9D2taBKbpLtnX0+FtKW2+ygH+lYRzuT1H7gwbyAjagkCTrmX6nQSqSZYfqIGzZ/kuNfFxgLYyTQWYNC46Owj6HmhPmVPwcClQZ3tp2ofsgmgKcFAaPRACU2oyvg3VQsLzOt8hDuce2fiXGqraQEKpEedeLfxfDJZv+mmB0VunFxBVYAru4qmYRwljgfAAXrv5Uz9+5/o1//cu/+Lfe/ef/9T9984OvXj68/9BfD3mf+4y6pRtnxDmcVj1Yhz5IzFjgTXSt8q40z/TMGQq5TcYs1qhAQ099nu1/8Zzz7OldHypzqItlW2bPWtgSZAi0xovrTrP3FuopmpQWRrxfdU6LbEJco3tBPFuFNmkiYWZ0NgerBt1F6eSS0AZp4SEaMwDVbOg+a+bLL56+//7pe0/Hf/O97/6pp6enhXdrXZ7q6VLf+87lT333/aV6LRanWIuLi80yDnmwiitCunPOm+au+72++Xj7yYf+8Hp/ud66r6/X8/X+9M3tZ0/f/S//4t/+jb/5e7/26f5j4OQukYY1fXiNKwo4LjnbkGpjQQosTtqSmiISaEoGMV24kosQWTTy7ul/jmqST/YbxIaH7WrP3McH9sCSYhQY7TXF0WwHNuQ/OnAZtw84o00K5gc5RBoD83zUrnKMtruyGOtR6U4UY6GOq4QJAo+tgrYiUVWhFI4HJuXiVBAbcety9zSB7AhorWXKVhlxhk1GCRfMdmJwPCXFMuuyqoxk7FIgMitApZlEuMp19qEO11FElZb2pQa2tobkhK5/6IiHvioz5BRV0iqtqno61uI6UKiF9N8zzSqxQT/90/9LgqZsYnA/NwHPJakNoojAoMogr8dnOl+uOLKd5RqTqWOKJrUMrNnhpq0NJqM8ok9qLUy5wJKHkg2ZFYGB2iiLqsaaUgvqRkIXCk72lc5JGpQYAdEyAk7FEoKUPezkeJ1oj291dA7Edulzifa2MW1k0WLAWYPehqtZSSlhzApVe1/Dt4YkVL6zJnm0OV6r2Bxp3SCODpQBXcbqyE8yQR4ulRNAk5lHW45p/yqbJa3aDRGkcsPr3KsoAVyFGNovjtlvf9YgXumQgLzSVK9bYCKpLWNxxeJPSm0TqkG4RgkYlOTlGeScM8DMnANBjSbacaC0yQwC5uZNyBTjAlRWmZaJbsZDDIbG5LjghgPw8kT7/GE9kPOMK/tUI2SNWXR/Ry+RGpcR43JfYwpp2dRqERMA3SQYDRy7jHOVtv00p0wYZYlHGjUHkDQXY3ZEaSpdrpUP5SCPwwLE8l9Kj1MkWXJtkO5zW7w7QMFVO1U0UIOHgYL74EltqKCQkia0kzhxfHMxZxxjeVVxBeEM/pgRUSgSDu2CyclLBR2wUD7h5yHvh7o8XQsUtdza+PZFtu0L+yieiijt3bfgKAwtoEeHwNE0FXvN5XMQTBsMce2DJDJ72TkqP5/SIkrRbduSmySxULVQpVqspacnrsV1sLhq1cGVWJ8wDnmZ0aM4N6ggd+u+n8hkd1row9l3gHjL5olRYy0fujmuEZPbBxyNF12nbUS6Hr/V3pW9Q0AFq0gLK9e7SsqcXdTDcTThWFYGwX2ew5+HDrU/JaMDcGlum2+5Ett/S1B2AtMvyQAHUj1st/CEbsOLMgSZPaGb4fdhiO7QO7zMfTgGcMo4AbEVnrsAN4uARxPPx9/xK9gyod0UpbdPm5XnOLH+waO3GAhahDK14Y+NWGdF9Wf4opjPmYCVYsGPxMKCfSGrVLUbeuZfqHLomZLLsVRDh2yPtlirQRy8X3TOS5+/8td+7nf+57/0I/2//+AHP/z4ByeuX8zltc/WdfrswQzaCn8jc17BiZo5yyGxQLDPwbgrcgGJypw4e0D1cM6e8+w+TxDWkirIqHn98eSAGkMx9rsZbkWTHt12jYFBdICSJdkec5N07+7WGf3CSGXIdDCankRjqmo0pyB4e/GaU2xNt23oqKOkg6Bqlu7VjX7i+v4X3/lu8eee1ve/fP/+3cFaq3hUf/F+fe+rd1+8Q6FRRy0WsVYdheNpyfYkoCWtDYz0eva1+fm5Pn1zfX2+v9xfb3M/5/UVhev9w9c//KVf5j/+17/75Z/j8/2by9P7Y5Uu4JpVIrvbCNhwuU2qsiLdjDLtUpbMTNaOVZ4N9npKST2MoGgr3eWFCUEWZih5a21wXLgUTDlLsrxqnKa2lZL9MZQT4hBr7VAtyf5fj4IkQ0CEIV4w1nclLpfyc5QlRtogRjygnK1Fa5KU8JdKabtjlPMoRl7T5Z1aAVYTAKyqfuhYHl38iDGrEABqIcaWaySJK00P5KwW7CtRBFsXlYwqTaDhY7zvdHaRUT7p2isLzJ1pqgbUuLQ0O27NUog+hH3nbhCIWsBikd2WbLNUqAUHztK0HJ0sejmM3wHp8UBphj3G8suV9No0phiIyAEVVUKbGXf4HxxAWZrqoLeDvdvWtDkuOY0EQ2h3AuJIyd+GjeyanAtfZxQ+nKnhg/ABjEBpyqb+qtEa547a1UzwMgJbjewKYkIJO8DLVYyH2YwAZQhexpcyeOKqNijv1sTsVk1+xP0oMnrXeGbja5fCpMgqT/NRQe+Yp7Y7lsEubzuEFZxn8s1plkXC2uvvvI6Ej/vgosHKigC9qaPo5ChQG/mDsVahoeHiAdo8LGZYu6wmUNtGyYyhu1HA/SgU6XLJWVsbmSBQZXbPvhQihenuFPo24qOzcjT6YJh/ClNr/NTsS+R62dUbGasoz5sIVCF51LCcP7xHlT0qW9R4MTShhTCFktO1RUAzhaOBjgWDWJWdsakIRGrt/QPEWqNjN4DGWkrLLh6bqAp4T2E3mdwrJZjFBci/e3gpDvYJJ4ZDGI1OadIQQgMjZcuyCWL0eBrNeKadEYf4nfmPUUPaPdaozmItwkZoWhZyJHSkyivhWA8leg+csac4ZPtvoyjWKicI7irV/E2BRNWyWYgWwOKl1uUA16FwswUcjgST5pO+iXBjABSrAYwHxSynseVCmlRqwCnPxFTZquTt1HK3PpCGOKVh7QZiD6i4nbQCGSFoLfWTpLVVdCja2AFu3lYJbILLNjVFLu/h8uU04EYFZS8SIcC93dMcznYK4D4vflG1a+BtuhQ+OwUptvpK0QrYBtrCduINCwnradjCabNokx//62CVPSWc3s2fOnTk+A8XIyb08zKtqkVZwJ78G7tLFbMyz40uwwHAhbPbJD9iTfjbRpwfCkxXmW/XVvxF4Oy+xdedRPEiIDiQ26IZmPRwb2QGNE52Zfta179W6MQjnFsDkwanQkPI4T96m6wDFbgqExOPt+Cuz+hmgQZ9gFA4kzWuwQldWI0AHgBb1XZBBAolFBYVCkEPNsUiNLJ4WeehmqmGDs7717q9/trP/so/+989fa9+/9/94c/++Pap1l1zmeo7ejikmurSLEnNwy3P6d081RS7cBYFrDK6Q0wJaJ09AuXh75M4bRU7CZNiNRdU5MKKvVxzg8F1ItT/IdXMoNDQzFAsNTUtnWn+Zej6Wn0bvN77hhl2n/f7fe49N84UvZAWFXYFZzv5zegcNdHkCYgLpaG4bAwGTashHd2sW79b8/7y7iC+sy7fv1zeidWFO6bniy/X++9+cbw/cJx2PywmAa+juCSex7FUAud+9q11Pc+evt77w+f7yzM/vdyvM+f8pM+v+vr9588//Kv/4/kP/sWvHkfP56U6jnWrC4CqWXVgVsMbuFlANclaCfIELOG3TKbHvXwbVkNtQGJXk6A8kzYD9ZiMR7yXFzan5IsQ+knj5+9QYwzVY+J4tPjOcOll3ZMNhzvqeo+jbOAAu9NYKVsasUcd9fRp+CO4BxJBFeTVkOtstGBHHrN7iTP+tu3GOTHJlU5jA5QI7mUIpoTBIlCjVQE6wlTMJJDNA1YdDWtAL44nh5yarAELmENLSqVplZaJyOWprSocW3IwLl+KVdO+5juL7vXoYk1ArqJmiUdxuVYXeC5q1VoOTRPXA5A0+ktjl24KrT01ez7zAHcy0YCtwFSQYSONCOQ8M3LUMjK0PFqIwXQKPcYjQDMe3ctOQ79QKsuzCBQ5a/sXGZws1ngJWnm89NGG7C4VJxCygCCW43MbyiY4cZRKE1YhcZmiIX3qDKY2uuMvRizXzXyUZlE2YQM4Bm3GbuAUoBWcH4wpeS5heTp2sFMtQyXbr9q9EiIMcXIvm9zMwIrxmQ3zo7dLZQW6TSvtaqKAsgbdjyuGSymfjXKd3PPUSBoiYNcT7DtMFj1rYNDGfe1oDJVm5rA8t+x6ke1godxY8k12u3XwC77pCuI4Y1KHo9VgN63UPjHhYoGdlKPnc3VSRZXFRsjeUEHLL+jR4QSfjEh2dmnc/l6mGTa6Z1NLSENZXJT+POBC8PU1dfiPORhUIftvRE8LLQZHnYXs+mB6dZUyJp3qyB0oJkHXvomeVbeEM+sJSq7WUOYJXPGaIDAikzkkA5O2exYiTjCk8TAWdfhLjJY8E4xt6zIEarYAw9CqK0rs/XxEoeqhUJvekyj5EYrJJ2obU3yrv5Kyxr5YpH2gXT8fICrjRXG9Ri3uqZ7UdJXSSSmOEKXboJndnxZzlH1KEa4EFNURKFoDHoYug6YFwPb68vFKo1NBW9y1eaQ+g1ZF5tdn1eJgO65RrCouTxmyDnOqNOgA2XtGhlYlLTs6Gb9W0meZp9lGCx58e6yoUogbeLxA0bI4T2YklsO0TDtgI2g8N5Tmyn6X8YDnbJjJ0vQGBAPou6kwMm4yP9cGMciL1HizixWwjm7mkVRkat5vpRzf5EjtXobQWGSGnDm53SixytD0Ni4C0jjbgOANFnM/78M+HQArNcJ+ccHW/a7x8AAHQgy6JoEpM2SyYhIjHSFifAQwEituYjWTFFFLxCnKDVtWArvTWaZOBbXyUYzyA7C//wxmgPVoHaIs0GhopRCWJe4cqIVZXjtTh9hTo6463+G4/erf/+p3/uGf+aP/7Q8//uf7+ZHT97sar5hGD9GCDmbqgaMGwK4FqkYFVQoBYXo4CK2JpDbN1Eiaac0M1JwcHkmtbp/4GU9PiSqv5NTuEoATg8qmGdKr/VBDsh994BuD2sKNJ3TcxIaG2cd7DjTLg4+zlaYaNlqLzj7Ks93AeA8GOIGpxqilceY5vri8e/90PHG+vFy+8/5yIWpdRBXmu18d799dyLUuqAOU1oo58bHotTOGZr3SalS3+3x+ng8f7t98vL9c7x+v95dPt5cX3K468XK8//hP/+Vf//P/wy/87PwaGOHAKWJqGeNatQ2XQO3xxOXrNjqZegIICkrjHIaSgx54HiU5UlPLGLPfpXpUo9FkgkZRRRhGdE6Y3Pp9FfTGZ7tswqMsoYS9FUgpANyOJAQZw9QokFSqmliYvAUGQb5VW0niu+wsqLdSx9ea+YDuARPyhhHfZ+uGGbb8niRZYQW4IqsemyddCoPYc1NBE72UJ5Hb7QfmTZmkgSKEoaMnuLG6pelUIaw4++UwOsGOId7ColudmrfQ66yLKY2xvqRmRI+ANVoZJ0uCq1UVgAdWUzAFSkuizefsLWOJhSA7nKPM4jFmfjSQuuwrkq+/xlyU0krAi8IY6m62xxqcE0zIo9TYWBqxYqeReURjd9KZoY+t8yyGQNqt5gwhrvU4L3tiZjLkJ1e4WP4LM+PRUCe6RH3zq0ZgsKmq8WLWHejNj1qLaNmgTxy9QMp/iVurAqzkBUlEpy+oTYcHxXq0amlS96fFbLFcUq8bNUt/ka7VqVu7mfUJwID9sElEHtTKtyp6emK1+Lg+wPLxyINwafrImJYbp+8wAODYjJmFt1KZyB0n9/+Mxsjqm5UEKanJLW3zk5hzl2e+OduXaNwzbigN0QNI7pP9URxPhqq05fmX/GwbEiZSPSacCFLNo2igR4YQiFJvyd6L60vSHFPuvoqgbIR91A5FpWJT2uZrCmACVHmOASmZjGV78NJOvmY2wJHHfjemYvV6Vr6/1RgBD8OUCBuL08BBL4gPxtdiWwrbcCzvqbTnacY+3znMmyjzsi6kT3GOwEPVk2O9wqzZwRJRpIFgsRYEdWNBnpzhCFqM6+gCQlSUS+BVUFaF0v/JLUC5NGz/SuukgWjlzq2TAqh2C6CYai5K5MpVMTErwRKrRDl4YgHZh54WqRAEqAZoX2hmUYM8furqzlNi2hcp9YntEC0FKrsDDmtFo4qMBbSD3QS9d3iTWVErRRRVnBtWrEmWRsx//I1SMwJcW6HDoFsw2lPaWb68ao0wSup7kAOV1BsKQSHbIjvRZLHAruD4rYJ50gCnEBhB7PCVbXppJkxlcpiI7VKx1bfa8IQvZIKxYQBMhfIa6CGtAhRDouA6NUEZ3Piu/T0ynejAZEHeDlqyNuxNOEdUWUiaH5d74Vvr+GwBhbsUY3Jx5UEQGDm22YkFy+I5s/vcO4ECaW0bFSbOyBaPsdbnuGSVQEO03pblEPuYn13LKOv0sqIWPLDY66brF792+b3/8299fPe//r/+P/+/5x9/5zzf4en2Os+v90uA4C64qMcoVSNTh6nQC5KH5ihejJqyQ/IaeZKIml5q4xW23bfykTRbsXlkA3XRWDqSaMQ6MWejT7WnHKYmz8+eiW5Qa86GVNUcdZ91b0B11pw8R+0N6uxOWWbxAAXY+rCsxrCGRKbT2AtTkgN4yS+iVe9qvqynd8d6v47vHLws9UgnFvXFcXz1/rgch0Ri1gL5VBsWUJHrKG+i9Rz4fZo4pZfr9cPH5w8fby83vV7n8/32es6n1/P2+vyLv1b/8P/0u09/5vV8eb7cvkMcerrrMsui3hrhRHXlqQ2otejpWVNuIrC4oxt8aSfG/fTcpF8anBa8oQlSnJpdsUKMlijmCsMMKAU0Kpki9wcB6QGWnVopmW2r2o51+blylvK/4QRtqDcu6v6bzjq7paGnXwJPPXrhStOfwGEvEWMBDIHgqGHowKi0UStFN0DunCx4WAl7uIc10Vp4O66k4qC5nfSA8a57o30kiBXT9A7Gk8nNWq4cfN6JJvfEl2FVG4XsPT6G5kf2eQ1kbPLZPyZuwam66qEcILg8kA2RWFx11FFchaqqKi8sohasTYKdZBeo0279QJ8TOh9TNdw7HSelkRXFLW+VMZiztEnLiQlWLAJy+jkCE5dszpJmx/3IKhkPorENwZO7rnr8NlQFLktcI2FANM0CFJWGhLJfWqTExop2ZidUR8kd33JJnr+zkVYfZwn0zm/XFRBsybQFnJLY2BwRbR1vl4zKwJmLy5grUbuezIwNnA6NpPpcbwKbIcVdTLtKNQ4LWzPmuO8lHNuHxq1RspItf2TM0j2gU6kvlBZUqlXKpaqGJbvOKQGLA5vKotXaNZP8vUQ3InIi3x2Nm/kFZlSnUs82YyFcIs4uqM9zbCnghikskHsZPLpn7g/E3ecsCFBZC65ja7JC5pkogIzTu4iEy2svUUx1x5mMINrTZ3sQwQM92BrrKBYaowVyeTzQLFSlg7MgtgByPGVQ42WQkPxmXOxjdwlUM7Mo9An0KEigw9RbxhLjFDWp7gyN+1EaAzLIsFKpWr7FjdMK2IBMhqArHrIosJZtZ3OQLbiCyy7and5laXrU6Ok2FOEdgiWL3+G7CKnZWFxcGB/txgjtXZnbqldFLjbILrhNJdoV6IHlGXIDv7tLdxub6ivjACl37S+sFl2ATrQzYGxtgC1KdAU4CNbrs9t0zZ7qD6BsCMCaklszgNYnxQCPlp/sWrUG1gSDu9KVHyqYFsyHzAPY2r6Z1rkFbAPFmaxKrF2BygxZOR24CuO2xUISX1S3ebo+RWWl7uSIB6qofZa4ncbSHfk07i4P6Rezo2dInqeLM3puJ8MvzoApHd2eWC8TziXtfGXnTzFcEYG95KKiqNndKkI0MkC6RMBuyO4+ihYG+CPu1qAcrXdDnefq6O5/d+P4yIUqFWpcQu8Ggk6QicDz1ghoWY5k8j3QWWIUdqPJ6AYYwiU9T/5Dnr1PHdKOABNIYmlAC2HkhpIkEV3ahPWL/UNuUtNkx+p1npd78Tiu76D5/MWPfvMf/cp/8+vf/1/+3b//+LNn9JPU5zSB835MzzTkRVPVY/DIVzv7Ot2bGhNVRZcl3pfVy8qSSvXM8D4WFhc2f+knWvGkhFT2HT+LKNXE19uWTnqrKobQaGinc3nMhePNiLXqcrlIItu/8cbmmvFeOuEcADPowQxPl1MnOMOuJcK56OxM6O+tkH4K6mn/x8J5uaz3dXk61tO7VdgbeZq19P5J7465HADrrkVvPKziZS1BPNWOPd1dzVP3ael+ndfX/ubz7eWbvl7r5Xx+ns/3a92/rvv9+tf+++/8nX/2q9fL5/N61CxXg+eA7WxOzIrh81F4W29VHLC2pB7mviaIX4GPuEGJ5a4MQJZ67aOUiiiRMsPyQSwjR/Tfz7jfdvJOdIne5tGallI0xgoDaaKZLgApV/a6FwBpP5lOO+VYmoLJilzrKYZV21eCwdPJjbAkaO6NsKhJr4N8Fk9UbX8EX7SIbyzIB6hzTizIctdhlo64Uk5J5g/rnVDxfxSGy8/G5XBberyRK20aAQZZADEm28qgwGIRXVszb7gtzOOUsLxpBOBi1eLSUYkRcDlEmAZ3uabpdB9W8oitUctwVsjwVG5Ve8pkeabJQgOh0cEWBcrmBaE68ObPOI4Y/q40Ihs6wifKtjG2stHuCbVA9/ydhat1eoiiBkIbBB8XNZC4MimZzOAUx+iZA/WOn2lhZzhY7b5zZNoQpkegmwUGZk8VjHAhvj4uq8RlgFo5ovzWZMjICQ4EtPa2ZVOORRAlT5jnZWCL9n047KROr+zwIQsUSvhPvZxhVCc0/j1rs1gscHmQI/9umBn/o97/2RRtxDh4aA5o2sdCBPt2+GQGL4mChrk6gJd2xVMenAlTFEpBpuhB72+PL6JPW4uzIFzOKRT7zQ2HXSVrQeB44YI2Guf1LfQThfLGr5UPzzxQ073j8ZL8f//TQ1visFxFjn28/Pzs12IBuQRwrbLFW2hXxacvDYmtF0QI8Mo1ZJSlMCulmKWBxgkmJi52PUv8Ts2zA8Ou4h0pPddDV8eRPbj/EpuK604aNhQbOy34kmxPGmVXr2GLYdGK+XCLhmw1ThkA4ZlYbsWYrBXJ5BmEjjclQBgZ9kkwl2btIzItVY4/VSIeY55Qu/1a4jnaI4h+ZC3GNhAA7NTtCm+DC7HtId3gBBouVcEOWcu4KjSu7Y3XRFq3iSVm0uuNBvMo2XiAnhUDwsSTgScqSjQ9HwUXCjJKj9pGGaMVKMGPfeBubjf9AEDLqh/DBXtKWwkb2AW9q16GVXONZWY0c387hmfox5HbQZZbbpuxPac0n4qJoBebIUFQBqOI/u90v8kAAQAASURBVAOZIffumdplAxD35EHs4xUeV3gg/mOQzBnZe0S8uVlJ0Q8mT3TO2nph7YNpbNJZ2H4HzrSTJ0PuvkCPF7tz/c5F2h9iR2SqHJ32VtBJ+2c4Pg0I4hjkvF+BGfw7JyEI+esO4m5WWf50FVmoy5gHBdm2HrBdph5zQYTsM7CBIfcr9IdD6GCnoeJ+5xILXFh6dx59cnC+f4+vrvP1r/3dL/7Wv/itH//0j/7oP7z2/d2Nt9tdeCGu4Ay62Jq7YZgq2Od/d3Lg6RbkMZEJx1/PfPZDYeMxkpm0oVFcoBtGiiE7oWC5bZPjdI1vnhnOAUmccp1GUDYR1OL0COjhXSX1UevdOt6vdWpR6vvM6D6CpnUCZwHZdWpPLkx1SWqqx/ydPzJOv36RM1UebR/bmjRQxGX63dPx3g7rVed9WvebunV/dznev1skpFUUq9bF4LqqSKyKRydFz4Nyeu6oa8/zN/dPn86ffO7brT/dnj990Mv16Xb78L3vfvgH//Iv/Nnf/aUrf1rS5eF3sbDsapER3xV7LbwNdj0Yfym9gQmxh12aYPp1+z/nes1uLZzIxvEaO6Ux5ShT2SN08C74gvkxNXOuYAZM3WOLE1vxt+mrlPXaJP7+4UoTbvyidg2UxqIHux4CRr0A+d34X95YA2M94ZsfPbafTQIi4DrBadQyUzMalrMQAhZLwz2vbsmeCovfDl4SVBPgrA1DT4ulc7c9eJuL9CCYkz6DZflzKT8MoUnK8SGeX07YjwiPgrQWNhRAhd2AC7UwCXZk4BEtAEXNcAnEeBmeQpmksYKFGjvCBjISRNJmFla9a7+UsiAiv7924bdBKokYjE5Qrj8Nay0vnDaKrSE7Thgko57eHVORLvKUBAXDLvlgwfYrZQPTvjLyIgID+wuvB/xezheem8ODFbYKKsppL1dJdtV/lURtYor4uFchAwV4w8xGESbH7xRxUXTG9CI7l6nA2yOuDBIKMKHAFEo0DAJ/U4PDpf2FzOByUz+BvFxuZVgn0+eoIi+rTAqRLI/vu7AL3eRzKFrT5hPJFMguneV2TN8OI0LJXtfM9YLJO78ajp0JkObMjYDQcwPZDZOAzkDucCZf5jF0IPcYbbphJypv1U097i7NZ5EwB5EM5kFMpMaMtDz0iQdaVWEhzJCkKZC9RB9jAiyuRdN6JNuvxnW5MQ3y8GG1Jj2DCL6XdgvznZ2oxcdHsXJ1PN23I6RzqLzaKeZlqT/8TWUDKBShxYK3HbtTSRgPwOIfuIid/sYcipVxU/L4SH3LhmQkYJb8FV3qLKVyDL5BYkIKoR9zM2MEIfi6dhExglZ6p9MAfAWLPRCvETnMEsRSylK3rPAMf0BT+XoVokAigIANIZgnjhYeGTFKbUKDQaA0RVjzgcSASrFYK3Q1fD/oGtl/5LgzDE7smLHGj4fDxeJJhjVO/jRk4WWWu82rmA/kWiUM+oymtAWr5q0bjrkNYZsbPO7m5J04LTNPksnr7nSYN/IY/TPmbyBu7cGOHc/fEnvyB7AFTztJ+K4zMVeSJz4c0+a/+lllgUVlWoIkENPqQkZrXSRaJbMjfMpv8lsB37FAu5QXBHjhFCzCQTJFqn4mmBOKOkS2qNmdiVkuZzrJ0L57AP9ymfq1WseyBbOrqXVSxQO1dwvWSuHuniOyqTDtnpK1m9aCFBMxmLHZPOZ+6UM70nouf/l3ANSaWf7xgqhz5hhWP6Gen1+PX5y/+U//0pff//if//Mf6UdP7KfzOE/ifl14PeZyzRFxvxMLOkFHp2nDJTLmjA6GIWn39A+vVnSjW5jwoVY+RNM7PIpcvKC4zhJQs1APYcQMps2XzClIVLfm9E9Q+30Vt3SoiKP4na/efefpMsANlAeyLECUynY29kh0jzzVHgaa6WnpFKNmqJ3cHEs4c4iMMzWmi+Ch4aV6eKLuQg9uo/NOCe8ua2EKd1mJKBC9NKqyr9gBeJGxhmdLd+g+t6te7/3h4/Xz8/nyofuVd9bX9/vH55uun37z1//03/tnf4U/9/let+Jl4dAhHS6eS2hQEzqyDX37SNIk5cYeK929aQmHapGySa28pCotxRBgLWHZNFqpFgOQDCDsrDsh6fmAJXNuXXHkvjPYvcfXNgRgUZibSganlOtMqwRdNA5ci3TtethUgVC0q+ESstE8P9HVZMoP7YKA/mDGh0jOFLXdDAw7TE/YS065UtcM0CJrMgbkfcT+vYg4kjsA7QGqEXqnMIftg4+aB6KhAWd2RCOfD+04XdysSxh6SZhMrLmwKNZCfHlqYwE2eqm8DMLKjlrB8cgBa61aub9owZ2wRkuwh4v1Eb7ufm6B9df2EWfVjFs/Bo3bgCvfpKp6e/LhCzAZqgKjjh4jcjGRszOEqjkNbKGL4O0R1oHbE3FF0asAFNLjyI2qojNEKTW8ggu5Tx2orV+VyRu/jYrVlftguUo2qrLppkAvSN2TRRCmxOVD489huMjVBO32FAL3UUXPtyiH3QXXLqqpeLFbv+C5ZCsNROvc/PBTA8ZHw+8KEpecKunJSpeb9lol6zic7NIYYqN0BPfUiE+MK3Q/pUq22YglBJQsOMkIK5hZ5L2TLpl6XM6yLB5wg+KmgT2cEaXlK3xG2oH9EXd2UTRClOPblhsGoJjHtwjfxw3ykrIeJ99RM6DVoR4pSq+8v1rMjt2QW5XN3VkCWsMVpFbeGFUyyjCQR/liTrCn+mPjuCCgMFXRxHEsJCsQKx/VTVcaEYuBUwDuudMRdtDwIYSghXAbVbs0IlNpp/uiOU/Lv4XsjE0s0DZ2qPR2uzkYEo09BcYNtgOi8vV2D0By+3vad8lFnivsCMbL00QOc6nlUUZxOkfW5RkWqDa4sNfcWoCm5TLIzBGJVXsGK6D66eNjNmC112+7yLHifNeq5GNcON5lk4rGnaUfZg8NJqU82zWzH57Wg03wkJR5eqQsRIHHErN/7IGq+bbsIXBvlXELW9TiQ6yUg+ZOZ9okg9tehrJ1LHYosBtqiIOxCmOXvcJ+3bvzcCKHsAf+3Tn7iHnaInP4gGUfE4DapzF3IlR4vhziBsda/hMm7oBK+Q2A1Xn9krjnp+SvMwrlkd48wN6j54LTHdzEtEPyPvdB7CeBpHZF7SpjcsUQsS0JJV5BEr1h3J2KuK3pDQm55ay4MO9i/0GnslxpdR6y3IFAj6rfk9gGwZZjWPAH4yYV3oPitMp3zd1nlTCVusWiIruse/RmHVVLMAbJy1FnPbHu0HN9/Rt/75d/8+/+2f/4g//0h3/wGee7ufG89ejKrjt4DvrMlozRdFvJDa9CImvsjlBxtN4PiBuh8vUPOuLAhSyWh6G7A6xSp6njoaqlA1zQsYr2zkEWVo68VhAnkAVWlY2QzZZdQTWCnqjvffn0xdOcfdY0NJw2s6uiVw8M0bZzFhCvURumLmiN+UVZoi4ttRMWoULJQqBUMgWg53bO9ey59+1EN663vr5eTwFPB8h1kBiiyZpFa6rpOUeJaHJpcJ91m7o1roOX19unz/cPn+/XF7w8P39+fn2+9usnHE+ff/cfvf9Lf/9P3flB13fQe6271ql+5yI3wozHjscVxtGXukhVfECO1HLw+fQlGvcLhV25e/CzMMPd6nq3FShvCdj805SyFkm+9d7HESxzBGzIBAEVmWxuytsI79ZsDiwRCjibwGLkkYAlZxH0hXfVNnfzpFhgTeP4+7amXMu7D2xkKsZBAunjU4oVdyNr0/uB5zu5rRUrZaz1mYlNyq6Fik0K3n5wPJcT3e1LN9H37X6A8FIkCQHRAUS84dEN4wObYCGFLCcbLHSxDyvZg6x6FNiP3uFqtooz93XjHpqec6QlqjLvPQJlQUI2fPttOZ9wMuM8U7UB8vxUNz5bxJlDpURARQvhR7jJDtd0E9xZu16K7e/MtKv1qiiABTQrUh4QAWm2DMtixBrCEGbakHqkzzJqnnrJGIXB6/LPXglrTP202WRjoHHfN3istM3WbjG1AjPo6prHgwouoqm4mWtl3MBP1J3P4AEA5vcaGjcOS3cL268/mHIKkJ0YCX+PoZc/k8fKvbC0hdHBeiA5tc3O3LOwNwhgGAcfd+fpzPBguWGibLYENhCLrem8vzKwY5CBfCDLmEmN2nXYbgMeLxdTBhZsYePzZfPGb5UBhM/rFKbiTco8/wfUnCot+bPrtKygDI1k6ysBr0qyV1zopElkshUwUpVONBAzUPtYkDsQmD/Nph8GtEK0NsMq7akUBTw5Qy8hPJ9gLy43Ur01z36IaWq2I84udeTXOcBeP1f706buAJTdDkyLVtpoMUyPynZR+0rmb3BQiHstszzBhxOK1Y52i0i32LUBYCxTBGb9HCpCxbrn8sp2QDNT401YWDZnwIBs32vzVsQsD6BYoJU5QD8Uipj2zTc4AEFLfBhPOFky9d2OBZnGxoAOGGXqKeB8uqtSmgHTl2C7gYTcsjF+cQiFucJbYCeQdPJSVdabIrBTLcOsA4zXiMqbtxFFT6553H4QzD4Rz/lDVq0Yv/WiPvSWzwjQArxzLAJNQwr+bhrmgmZiCIoILOWd/FPd0rbc228F6zZXTZA0UoPgkLL+zYrY9KleJsFo6iGXGdze/m89VbYjZuhB+X77mvm159Egty80Kve8CvOlQvYMH98SkJtKws1sQAGTGO42I0xNdydPt7i/YBHeB5KWd8OsyElk8n/nMsW6R7RiNwxH0kPAHj/y0A6T6O9Y6h9ScUfhYno1kqplCm7hxOm5Tqyq0iKhW6nY71/vn7/4lfp7/+xvnU/nH/3HP/z0chXVJ+fKugl6nRrN0XmLctLvIbSwKsACCdXIYl8V2rpRX68HoDfGZ4QZDXp3nRA8IexTajcbEFUsHEdV2SZHJU2fM4nUI6Oy5+i2pW+UmhydUl2IL7949349LZckTiTLsxDLj9uLnkpoob0JjJvfz4XQzAy6UVUoYdkohZg2RdnqkwtgH1n7cg7mTpyavp999vXsPnURUZg+uTalS61VlpfWWlzHwWUYs3H2eb3f7/fzfJm+frp/fL19fn59vvd57U/fnF9fz+eXT9/5hflH/+ZvfO9P/5yutoS/Y+kyhUWsQnnPnLXJK6BTAOBQJSRxRIsW5sl50ruKQEOtiVquWsyNZ/IN7pf8guE9HR7iU/DZ9POjTH7uzBPEyLbq+enW2jGoVRoPspb/hNJODYKs6QlTt38jXHRUfpyrWr1hGoK0kWqJXczeSoEezbX+OBgn4sfGXR+3LCgUKSw5RTqvTw7leKSqUNJAy3NTJnQ91wp5whDeh+TPs1zqTmBbxcF0z4HNA5vBNkhO/7CfaL2tQQjQa/ZUU6uWPQHkgW0+fpQnVpnhZwLlu9jbRXW2P56GWpXpWhZwJH7aLHYx7ZDXIrizrwcwrrXthjyNk/bGeBEiJU6hWmWTkgJhGmoi6KVpPqOvDw5aQTniIRXCx/RSBQrHlE2FFBvTVGj+1etbDaLTV8yIGAMjF7ZDy1Esw5VF5dtipSwRBCRtUM5VWLb3pJxkJpfdU3KX1G5s7eWQZtzhpNxK2CMiJfjumH13bJoelKIYToeGLZnAKHXGx40xVRnOS3cSx1U/ZLk9BAIhOjgoZTEtED/SWJDcK7jNfyPnv7j8MMbxYvdkSWjYhbFT7cOLLLPb7vGpKQxn2JAXdrpkTdllLsRydjLKuJnMGwzZe+eY2mCghweS/6PyI/hYtVp8y2oF+1KYFmQUfeEDynEu9Z7/hqvK6scgTlcCMJf3ou6ynzMWexX34/VgSIrz7Z+XAiCME1Kpe/A0LX9FReaNS4+oAD1q+0fEX9pQAfLFQ/885hU4Q3X6kEdgxilIHceezBuZ//Qx8uq+FV+1qYoerlVUZWuKCJm/47D8yAsSpmjpn4E1baVNFb2XYEYatM6Z1vTQVbumSiGetDKcghSGZkpluUdL9pmBgOHUEMva5Frwm8wWMB87+2dScq3mi4HZ4AjrgUmkVVFZBUl5YH4kWLbeE3pc2yMvMd0JyNJdtWfhVIOexT7bRaJ7Uhl9Yxahma6I0mRSzEdCbNghuH3OkLstiyTTUWcmF0Q95p3InUmdDxN1ZxfxD1wqs212PB/Y0l52ofe5xVIvd2tVxXhPG3fbbXCCS+FbRbbbIFmFR6LKztgFwwvm6sjtZVKhNRC+EoEWsNkijkN3BaA0dboJPUKZcJOBFo+1Ics2lOLFxpcZkfHXHJtZIn1NSijDjaJVn0ojFHTuwSM/OmP5Szhw5taN85oZFKxVtciFLOyhbAbowqOBHrc59ukcFYJUDKtRawrHwVklYAqzBut8fv/y1f3n33/63svTj//S/+Xya39/nn//p/fff3r/8v6sOtfUnDhrTrJ7zg6kvwIXiKdwB05/J59McngZUK01dL9N1vGYm2E8aWcA1MKc0okad+YwvNiMEWDhdKNGHUfIp5HaAmprjkWMVtjD0bj8B7k4vVZ9+cXT5VIHAV7IkmrEw2ixXWEpNbWHQbrU6hOzpgRwusYTOjNLN0Gomeo6lkn1jjRy7ie7Wng69NVlHaWzz9fzbi8n9ajvC7gs1nGcbXsm0g5fVeISzuaoApwMdOvjduL1Feed17693PTxldfrdB0vrU8vc7vev+jr3/yrP/+3//kvfvreH7au7+9fXG6HLhCEhXOH/TnWuaB1yFebYEkb0Zb0WPZuRom02tKRFJUVcmm203G7kGBBUwvL2OPeRed6we1wz27OoJ1W95oQ9wdW7CDMnKFLGBAOYNCuchPRzL/7rYNT8C7HwtaM5rq5jHKuckfqB0Ag/MYEv/QJjZDUOF70QgpYJuNxOoANX9mBrhUY0BNClev+0OUwcIwL0pB26KYwQvk5t6T22/J2nXIfo7Q1rORuElOZX50IRi2f8CI1uKhXErzXftQCNF5Go0Z2em4zMeBB0JZKp8SeaVQLd6mnWoycerhoLEOlPspAbTFvwyLD1cbgbMy7X5r3m/KtRKzHSA80MloxHon2V61MFcqyQ0Ka0owaXhZPyykQAi4IyyMWD4Dy3pHHHMwu8B3TXbtbsGF40uBZdP0uTZzvJLPWR7Awi3pGmnZH5BQ0GiyETnH15aJoHJThuUACXkwYO3MftYLNSd/WKgU7xYKncDcghcdFtItOSIR5kE/OhLI+lObZ+BhWMO3F9E2RhYlpTCYd+lbZvrUGpvah4oBn/iz0uht3bLOskfaKKVr4jpIi3RI9xlAUVkRJDQALB8Wu0kzGlrk1Eaa5VK0tLXTNvBkLUGvHKMpdVkezkE5GPRUn+fHB5YbBCXce6tGeNkQAY4NuyuS89leqEB5RRKX9VEGL7g1RNaWtwlFsTlnq9P+akTF6kZz2uwH2CnNfgQTKMI/woEtoTciWpuHNTLQRmelJkcRdC6ZWAWpY5txc+uS3OOJ6fhy1GwxGi2BeHSmNTAXk+SG+pYhBi2f031B1Mw8SNJVlNJM62DWWY11qGWZrg3Ws2p057SdaEHAOMVqj0tSmMHclGU12q5ZXWVqYxC0ZtCK//fmnBTRLPZyKeZqpaJAVBaWLxX0ty137Pj5klRcK2GDjMfc+6dZy2yqGEsznYM0Cqkno8CIlvy8NitkaUckxUYcA8q9zzRKSzJpd3zRtYMZ1sMcuJ8CW62U///R4dCJL6nxAcfQjHFGadvoPyj4podIibSAiiLShwSnjivFl3mBeaATz6u5sBdcE+yT5b0vHgnRqMIx6dTNhxKap3IZY1MywOf4xTMGwoai0yyiotVVZGAjLswWRMMvHhP67Fg4K1PLADECOjeGQCS28ReUU6FYNNvGQkQK0Xb9dmr3HN/cXELYBY2AiV2GK5SgBLTKdl5JScqf950UddMxBrc3jHsuuI3aiXtBi6UI81dF84k/646/99V/8u//H3/mjH//w//nv/79zX+tSxSv7dtW6NU6UemmWf5x1nOsAVbUOalVuA7kKyADKtokMPV2Q5xjYMfdYY/uZIo5SYawqMDExUrWlo8bofdzqIaydWL0/njGEDmrCqq019Kuq5rT2WoUCpC62TWoZJ4fWnKNTNnDzb0hEGdwDC7nqGRVbfbYefhaUClMnIWIRT0ddpGpCuGfNCac5M0XEe4OxIV8U1FSbvz2lUmkaZ5Rgg7recd7m9nI+f75er7fn6/PrfT68fP7py+32ev/qe/of/+Vf/ZXfen/jx4Xvku/59IkoNmraDWn3WdiU59qXbDSpFF1HZlDesC/AZUcT1JsxDR9oc3LjVoUypbLhxFG0GIB2kt3X0nY1jn8JRnKRW+j08kygSjNAqPa0v089kXIKeyLfJYERQJuRmu9QLP/ikY502yVL1hZ3r4+xoG/XPo+YP+49aSO77V0zFGrAtqd4hkTsVWUqVqTVKcavTsyoAXewipRWp0+mN2W5eGMwYvtrFZNvFfQI9svg8HBl6eySNthr61DUwSrWkou8CExDwZaIZSF0Q2NRP8bsBdQNP+GJ/ko+OHm1lek/7ILZQSsmo0xx4Ew8QjFsYIphj1M+RJ1eWj0YZkAWHejGAXuyN3MkZg9Sztkk8IpWV+tRFruJLRP7Upa3jvchrZSIXoTjl+n1m0HIxIBxkLUCEFEL1bB3IAnXBdtcyAJgsLhYGHopSzIZwzGDFFAbpd3iZ6NMTOct7ySobcjnq4aHYzRVj37E3b2YeRITk+V1yTMpX7CnHVO8+souhPAbMW5z4V19SPyP3SwcNcvaPwV29pAyt+7DP7S839K9r6PjxrbAyPLoj9KU99EoV98tgasFVpdXwhHEw2rdB5fd7TFdx5Myn0Q/pV0uPv5H+ER5mMTXv1NFaI/5CMDBVEyoVRWyD9oPIfVjNkaQFLvL3MUAS4v2d7A0qb2e02BXNOy7wbDCgbs+KZ9dgrHJAytTZjLTl5LPmEkggRqNYXpqWZtgwFaIrz4iHIKzlnnNSgSnMMckXFo+UMvGMjpZs2TlY30LtRnYFdj7x9P7IQWjGxuh4+1uLtWGUY/jlfkeOx4+aNqopQJXiCh5wReqMEpraz9iRw/CSJOHerErNffKZmcN5LA4earlremweJzSrK3rqfzmyYHes0QUsEZZ97ODOnhGfc/yulgImuqRecShVNQ0yUUPRefs7poXHoTaRwxlfwphYbEmW7Wcy0iMzYN2pYcyXpTg4rwAJtFR5k0iQGkiOkErxHJtaJAx3cymARNhqlbBcOvGRqWlxF0TJDBSZ3q3AoE9KCS/PjicpFMflTsGBOHbKN8+qtwRcj8wI90rZy3vzupKazLTDe0DRUtL/eyAxxE1dA7QSx4HLPtfudeMi6EZd24aAx7WdDcA6gFmFQxaucL16zNONcA2p2LFpBWPI5KfIkMu5eUmuy4CtXtE678EYMY3GdNbVOYeDwmxjiICq8DWgG3TC3hXnSevCuIBYXjgUNVaUn15+/nP18/6xZ/9vX/917/7c1/9b7//xx9+cr+tJ/D99X6im7fGECeLeKesQCDMAdU6anYrvMGDSZSm913QDYF4hsGeTR0b86fA1dDYD6Xdp2spNjSyWJnEYBWHnMmEmatR0osQ0EJDRsdsI7S2p8PZ5+0+DUGDHsVADlVd3VAPphm3PNuOOiTOjBj3Che699Z5x13Td5zKFJhb6qk50aPgqO/WcVxWvaNGmrNVJ3DXebo/hS1j2CM0QziisJwz2cpXV+PkodE55+vo+aWfP/Wnj/dPz/3p5fx0xceX2zff4MP1m1/9c/w//Nu//PTz+vyqmcW+H8XBMgIFtrdnc81GNRBUcHbx4W07+ZNAemMgwIotn3FjkinjrNfUqDG+a5W3X2IFCU9QyG0DPG+N6PD2ia6whsEeNtig2cozKSYk44/GqkjtEBgA9IaqjXzsQcHhVu7ufrvMeUyKl10GGjBd2n3XJjoCslgZD6sfJKh6UoEArXYojmudw8FsXa6B0xiB4iHfociK3iMrWFIISXDL6dlNg3tIrqPTKTMSHRWtk8oCJhotQYdnnEbGb7rcMrkkmInfskpBA9nVirbubJ3Dcx5lXf7dBXDs7xe8EA+VRDQeAsRTRc/1b0YpRn8Vap6eiWvsjT77uMhrCJyZkiochaekmiGLmuJayyWUBLZn2Ql7yHP2uyArO4+qWp0Ug5hJo7CchCxb4wNl8yMPF1GQZuKbgZ14TBwKNTavymQayM6UZvajVibzPKziX2CRGKlkNWahCvZi44zJKsuCdtoNZOr1EH43uwFRJZuniAcgjd0TBKsSIhxQiZ2ZMje7/ubzAPJq53oYJ7NaLtnY2RsBiXMcjXYZuPesgfnGYrBLtjB6UOuWFLGIacXwlBtVWEaGZHKkzpluRGLnJ0Oh5rH1ARtLs8+8nWA1jFURN4K1zyxswZGZnDO9a0o7N4GkDgmYMeSuHeNnfGzcC0LI0s0ZD5EtO+fJ8CtqEvM6ISTIp2c6oiF/7DchuGbzf8YnXNDZItJXzeSFX1NGFay8syFKZFZuvJ1tDSEy4OJUBCHkY26bzOxGyWveFyreGLEAPQXKvgowbOnvTiAYibd8nNhYscNXkrVDQwXUQZqWtUNsYBFfjhKnETDZ3ITKfuCMqMSv/E305BpwIfOkVrIx/muhS7jWo2fGLilr73Eik5eW3wWaJtPyAd24B1marg3vJsRVpAuUUBfXyP7RCFBIyOQ7ECfaZVaOS/LoqIgqhyQYv7co1BAK1Ryq/LM2Nu7v7143jgUa02UiaJ0WCVa8hkEOlkRVm1Wa0VbXPriGh1NzjKTBFAfpTIwIMOBZDMK2So1B7oQV1CAYmVlIBp7DiKtQycpw7nT6kgYlMyt40Bp2zvGzSj1IxuHLXhs5fQwR4yo5Y6vBI7KOEukY6d9EOE0jWEUaHLgMdec/dgOz+4tSqhIi0knSDUj77G+v0mCa/tB2OYxayQczGHvcV50L2Smqy9kgDdgGXhx8a8XbpVhatt4c8REiF1Bzilx24h10HbfL9buvX3391//V93/t9777g6//+Ee//9OZ1cftfr2i63ZnN2UkYzCrGGF+oRLVV3hy66D9CwtgadXKtQUBVF9sZOpbGzc6WCMZKM0HKgOVx2EAUcKQZU3FmimqKtrHEbKbODfV80GVSzrnQs3MObxO327mNGtVBDAufAAMFmtRy33fNIap/u+DbC0f9gmpSYz1VtxgskWBXpV6Sq1irUt9cSljqSPcdQLl+tUh3Ih6uUXMSBw4qh7dIbDD7ltXJZx9PXE75/Nd3zxfP728vLyeL6/9+Xm++XD//PLc5x///X/8a//9P/jz1y++HvRRh2lEVHloc7tViknWQdsexg+K7jYdKaNdSKwoFjfMVOZZtAf2tpOByw/AJxhvtG2sSjxzTDBbiVxGz66wAZeyRsN8fWk+VQR6B8SJe8v+W/tlRD8jSm2EjkIGm5KDApiwsFyRwPNm3Olsv01HGpWPbQbXrRwgEeM8sxIEfW7BUVWrrCgDxrBsAWsLdQx1hBjF9lM2hWGfMWO2+fcCP+wKqo1BzZ6OMFveb9N2ibq1DmehdXBmqlhpa1y6lm1DDQ678N+KYrk1ldjNTPXIqUFGsDAtT17Dyob0Z7vycEIWAa7lbsme3RI1FdSpR7JGYkE1kflWYJsqoRdsgbeQAoWRU0mr6DlQH9stPUHT6Kn330W0jygD3HxujMwq1XqMVNKlrmtn+mGGVAlaFxMfwL/YkPakwJXi2LlyTeKsxfxq958pnrNJUrX7QKcTfzx4AjXQNysmEXm9YBW9ETfo/yOBJAfN7iT3Ss9R2QzH4FLt/jhgH7MRJ6ku+ovtL+jGAAryUrbupxigO65geekjo11Os7srZ+2+w2IWr5XV7oNSWS2SoBv6dFbpIwOVD8vOGeOb9mjMxuMaLo5cabStmrfvkSFGEwDw0oe0walPC3jInVHwPt39VZyJx160OU0AODVFDkbe+GzJcmWfLJp+2iXQ244igHNdNNM+6an8fYgRjS8UrpNE2QSA6MQoI6D+vq70v0Xd2FBQ5ZSCZQDZD7qRSUqXWzk3owwXgkv03HSEON2GRK3Hdw4r+l+hQeO4QWCXh9ufDbuSRIRgghLjIAbaJzagpH28Z1+97UCB0bBg6lSiVptdwEa+465k7BbCoHMoB9XpKRb2fWzTi4KE8VWcIKbmK2lQK1gGi0zM7nCCDNCXH4JHlek76DQG2IY/ZXC+6OkErLcjm2E1G8txyQp0Jgi5h/MOYX+liRkG3uao0ndAgJoSqv15BlsSG/ffAqutbJ1ZICpsj6BVBDO7tbmOxYoICDHcRQSdhDQ4BdlxIunbV7CSQ8HGmvDSyI+tPT/vJ5l7yBz4lP6+t/5pW3qxG3cL2qK2g8xUuGKuzQ75jgpVG8bbfDPzj4hMRCKReQsfXVJUuVTUNpTwvqn9nwCxlK09wcaMKSFov8Eh22XaDoFGqAnuQBMHE399xHulowCfpMLccBuREqiNU22xnJE02AShSuxKYVKzIPA8tCqQmerpOFg6Pnz9/At/+cu//X/7jW8uf/KDf/cH9w/vi0d336fvV/AOjUVcnKIJR3KlF+PGMaiOBZQ7HdsUkZiaOtaCPeaUXkBCTZNu46cWnxYupaP4dGEdOFYdB6u9VWwZ+G+x0FiBNARlTDXoMFEMJzo6ORCm2JAGt9s5revr9X7OCD2ghj2hE2n3L7Un1iiwZqaJk978vfbM0ims7rOh08qBaaHVYrbI9JCNOqQnrNIBQEk3Omck9fQscFW3L6MheM9qUEJpUTwSjY68U63CZaaud93O83bV50993ua89vW1P+v48Fm35/v3v/jyn/zb3/m5v3x+uv5s3b7UUfMU/WIjzWetsnLBMaGqsqLQL7RgcWk8BKa2MZu0gSWjzzUaWo1hYCiebi5O/b6NBm2ekMlWas48uCJAS3tEx9BAtAq1XXsye4qdpLeJkQK2G1gBDDKagC4gu8r28C6wqygZEU2lR64NnoFZaPWAf/dz2fs48vckeo+2upbHpe6CjfpshWtLdFJVaFHhnFN2YQYGhGO/Bk9OG1kJiNGANItGVQI4OuOR2USSL+XaPOU1wtdiVqHcU2tQ0MJIaxR7DRubPNbjiLL1X6PFu+YUxrgsotTeF9u8hHXgebMgIM9NJfILtDOSI5tpcFZGIrvMuNvFBe79N2QYjvn0wdv2Jw50SRrBbOi6M+Z8vj49os0zaiAtbJ51bVBpUZZuKqWTQX/ZUQGP4gA+wIijj7+SOzCCiF0LNu7o46qkWbcqI8A4sZOTYu+QCdXNxHiMOGJy24p4TEptDs6PCnS1IqPnUJZQUKjMX8DSLIuqYEss7OoKOWyhJg7lmrpomnHhL4KqjD5oUw46nKI9PGK2PJ7x9XYHWTnBVgwac8iAXw7q9kslnBxJiZk2NwjIbWtDuaM3DVILZJDlRlbo4oH8M9ndUtHsJvdxApYpXg6DaCraF6VWUDA+ghjYcDOPLH+VeUJ0QxJr3/FPd/VDSWa0ZJgywQsj7y3wCVHppNbKs9pXPuYIOUgu7+VBLOM32jY6qtpSImErglDQLCguWVJ6nyqs2gc7/9tQQ6BskaLRx9mDD8FBUMuB9ltCO+2miPvZpVEyfganEN/lfEzs8ldDR/gd/HYST04Piogg5iliDVraDNm0hJZjhHZrCOwexZcUGcWoTB7YpdNIy66rSfm1kGBb7jFvsyURg2PsKOjidmcRS1motykMB2Zpz3A7SEGhwdJgy3P3kHVH9qzi9v+bkgPWWNHseeOjwDDj35r/LeNoZT0DrHuOi+agFxsZ6onqqtKatAeZqopNzwDsxX4JvQBYy89lpCHXLg6CPCBHwmLr2dUsCHfOhnPhIDZ+RftHp2/xKgtKhnFslmy5LB+ATfBB3z+zfNpZYoPHRSn4417kJ8ozUQBwer2GqysjC3DonPYLyfeGtzsjo9l+OXuQA3usxkpOmFQmFpvpWP2mR4jKTqC6IYgrWXxfI8MhzmBh7zYUuhNSjpAyxmSMjz7LCAC5CO6kUq5yqjTlgAQKNmmdhQNVGdKc69zZHxf+4jf/0//1d7771fs/+cEfffjDz9Ll7Pf31zmvd53G/3KCS7MEs7E0WmTUJMLiSIFHOohjFTAL4MUIU6EOgKsEn8J1FHQcXAUeqEKtxUIRq3h5WrWOulzA4sHW4kyZntpe7hSnixBqCaVT0xOnj3RY3vvMkzxb95N31fU+EmC7awGrHAK0svy3Le9aas+I9X3ouVFAMzNST+E+Z6uFPlXd5ta9nLGb7dXMx3E8HYd6Nmu4Z+rc3Pb9WHpM2B4F4ExluE4cONVT8ni091mf0zpHXfdrf76dzy/3l5fX1+u83u+fby/3z/XNB31z/fQbf7X+7j/5OX35+Xb7LnEjBMViQLVnsvEg52o2DM5dwRDgkbkEMNJySJiotTjbbzmlmoni0MQ2COcbYEsPbpTKk7BAYS8QsgsvKGpLvifkdp6OpMgLwzXOmm533DK7meyyzY52LbKl0VaIWtxZuZUW4myFdeQeSNEnJYaBCahRnc4GZWiofE9SosrG2tyoB8gJrjztCbvNLnqawqVBqBj3LuZty3RQqmCCD7SCEdnQBQEGIyPxxrS14M3fbtDmwCJZGfxZUi179pFsT+ONaAqC5oqRLy2pz9YI59ZNGYO2dpitFDJgKey6Xxem2eZCIGos+VMlrrqUJ6C4SdJwreAq3yWwhYvWuVKssd8adxAEUJNiU4OONSsMiLcKNowjJ/XvLqu3saPrV0L5wo5l2DeAsVIRBlGw5pBkFNaVOhLP8Da9RvgET2cgzkXluL6XYpAFh1EJXk4NKPaR5FJGi10wuVTNr0+BOKaJN0G97Hxk4nlCkJVEl2MeEMaDdU9ZRcC4ajb90cC3Yu1ZGbze352sCe7bj/JMcr7ziMjbD+aG81z56tRo46QZPBxRXjhiCsZ1Z2EXtHCIinwtLkHORlIX0GHb0f69GxTXBoVjtpfya7SbH3vMgNp6cBqejJjKQ3fpXKzeCAMp3z5bRbuGkLxZrAUXPY4f0CmXKp6MX13Rbo1S3pTsJQ2IXALwGDMFYlnIXZMVrAuEDVWMjOc72U8E3FCTcUk35m4XTOQ8YNZ9FPxP2u0D96hJbgCxJcQZm8obgYxF7PIbkIfVNxDnvnh8eSsmhk34jPrUD0aqbDYL6hldgfnwSaMtlqr9oI0OpDL0vGpotFxOtpVB3LbxjBBEAnt3dxkg9mft3fIJExaRkeC5kZANPEEXWr788U/zDR1TVnRhOInrIMrSG6w9cu8f4rWtwb43ntQR0VSpittg2xwtjGrCxxLEFjAYh3LAKbXans8DOI0Y/wIBdbgOk00L+9UF1xZs5o6B2i3gw0Dehz6YCERhkRFrxi1DoCWmkyk8yFRVbTyi7CDLfPw2pxcNk6nS4QM43wMzQmSA+TUDbXWePdkCT7SnfIAjOpLa48gpbGyYxiASvjfmQJl0xwxpj1X7XnEXJ4Xdo9HJilBcQ+TtNFpmZ4pkdo15rKRyrsm8gSgYHmk9AIWsAuHuLsuzEFI0E2W6zuFBh4Oku6XMEdWG3izxqk23wCDDWizMnEh3eeDeurz7ub/zf/9Tv/63f/mPf/CzH/2H63kj2ef5cjtnWtRJs7L2ZqnDtf74pOWLDQuYRRC1MmFfg+3Nk6GQHRToZ6I5ltax6p0ua71bl+OyLk/1/rKOg+8PrtKx1qXqslyAtYDefumj2m2SpPZon3vPTjhGW604kng2rrf7y+3l9bz29BQGOGfNcjCjItDKjtKm7jMXSVju42M3Iq0qjbp7WgCugDgoc6bTi6MloePkMa0+597TItWanlMzOKo162hXRSqgTkFYAWm1IrSeY+3L0SUPKU7P2cd5P15e5uPL/d735+f788vHD8/6eLv86PNPz8tP/ud//nd+83d+8ZM+HXNUo9YlRbLlkMvgm/1A5H0+dnCywGsIttMIZJNNWqM1u++M2j+xFSOUKUBtzmweEQ8ZI8gldnCdTIdUwGpfxPGeDY0qU3FOfjIWGTffkxspc8JG0I1u18hOXqQcqMez1VxCVbZ1BCVi7lk0g76CqXG/ZQ0STzgowmoR6ihXohfWoWxF+ZZWUeaOYxoX5Gzr2LdoyNfDGn756dfSXtqVqrTAGpULL4GxYUwbJ3pCiKm+UMVVe1BsuN6im2FxBjpFgvBIaxmbk/VXJ3ieNVPTxksHuyoF4SV/a+GI9NwVSkC+LSFNHTOC1I7/pBPieDx2KkMAxFTiV0YlJp5mXp8wQ2o6aT2lIn3FiwsjYFQtzVgHSlbqZ/PtgMY240nzwsM7wJqI2WIWRq3iMtbiPC+G1oYVc5xR2juzBfNS/he1HZmZgyq0z5wjJ1FgtvIRkL0TMCv+ub5h9grgJqZ8V9wVlg7vq9nsd4UX8d8xKIrdRapopF0Jw0EAxu2gFlBaNsBamHi8wR0UkBpX6unao0Euyg4XdAzE68s/8+Dn7K4chblLFyjor1uBlMDbIwkeAzBT5GrA0HwZBJioWAVVFr9tqF4G9bhK3k0kDwuQc8JOZJGa2Dsihf6wYvZuetMHgtzD5UORp5Hz2gDp5GX6XWbnNyTNGZeg0pZ0QWhUWm9PRdvmLm9LUQN6dimSURv1EtwM92SroLd31H4/G41/CCZmS/mQkG/lTezYHw1Pz9bnrEdvoDGVtjeflcYGef7QKTgJTcxUNvo/6ozlz27S3rAUV5Bt3ezIwKH7/NQ0tTI1Gc/93geZAqbaPvsWDzspFbVcYami6jLGNilZjQAr+zb33UAGRefhyWjUxrWUeMByyzwak9h50cL0DDjW0cPDoS7cZguumPi/a8vxomqkKtTMnigMBCdQdkGz4dtMedUwMyBpsMqPI2z7RF/GeWsXsVet0dsYnO+NrwMpcUAMm3Y8DCnqSsroNC0WYJFTpYd/AgLQKM9GY/sMs3hbz2c4xqWUE4UPS6Ils5TBZKJjKvPBydlLIaxpYVp45zQfc2e3sZ5gdlDf27bcNYwwFf8zhnXcIcSReoM9W1zgkwM6O8aeQFPbJXVHdDo8OP1he/P60y0feFPS6ZYCliCViJ+D6EEe7q0MRpewBzvyaZTaKkj1Brs7fbgB3CktVqcj3mPWl0gKUMVansZ0yTOruHhoHfM0g8/89Ju/9wt/4Z99/8cf/v0Pfv/r+8fLeXs6n6+6359afUPPiNNzkhj7nOSErIOlGs0pZccSPMlnVabABdRBXHDY3LJIHVTAglWr6lh80nq68N2Bdwcvax21np6O48DTWk+YZTu/ysAggQX7Pk8DTUM9Fdhjh7uO4YijsVot1vWGl/t8uven2/V2bwzAxolpqwg6gIvXCepcNV4go65zwFlDCOvuwK/qpXtTJ05bEk9BmPupEQVNLIpH08VZ0izWmsa9NWgBZyt7LTUz4zBk51MFmTR2aWxo4QSxdB5U8Zzzdr/e8fy5P3/ua8/9hZ/7+eN9Xl5fPvzsj37jV7/3r/7V7/LXP+O2CkcRqqmqOg6UKs5sAxqpTFgPPuQp30VsXcWewEUbgYaBCs+SsCBoFcaFtQWnQvw9K/0pd+nr445USq4K/H+5uKEL1HyS3ANuBzOXRhVBtLFQd4Lm2xLHXdUHwQEtW5N2d44ENV98xxhBDWV3FlEtzLRwOgUUHgLT4HoLtKoKBlfuQUKErFMy62NftUrzz3z7ILkDjmiGsOQ98ltJOmRYQgLqHnEnfwScVk8IdFE6UACXnfOKxVXlWbg2HmAJhe0A4gAaZWo0GKBGNdJ5zu1uADPqNc0DLSFmFkDLIw0+cethFWMyCe1v63odLvbs3HVKxJTAarM0aTZdtRhi9aAQFwpkHLC5DYkiN2Dc2WbQQHErO4wKiogIP5mCGWfYSP23mKFNdjnRZ5BLj+wrlfM+LXD3b/BDCcahtDvugpMG9JBeW53hJOsfuWW/BrbaP0YFoEfxxqFTWopQvVlTBQ1IJ2f8kgZCHsys9sSO382CVx2OcSVuBD3lX8s6IesOduvgNoQ04aKVhspUgwC24dsQmaiMdOM04Pb4SciK5i3e250Zg/U6pWYazOFmkB1f4/HTRhowY98zMSGMie8UbW224TSE7ZCEg4rDvcd0AVg1QmANTEfyMdobQUtKtJCHlotsf8sQAvaK2ccWfqyKMcQyTLsZO7QEa/J89MjxvaZbLcsS7bQBwSOhBJeXQ88ApZGcdInKBJvHOII6Lto/AZtZY4GolSG73p/ILFhyjjteI7fukj2I5Yu7CgHvXR1iVRSWPuZYPuIgPBZWYVUMM4RMWD5BbsO5cR2JRC8PxkK72STMGY2xg1lldK2KXmtjXauhiC0kNHngNs5VYJql2hAT/fVrITOLSBbc4AUiIR/AV4xG9AvkKi5xidvDfTuuJQyk0NvxTt6Hqw4VBGcyLZVkfTmHtmT07mprbtxLYoqsw9zpONjnWHo/w2ZsjHb5LZuebCzFUhEPlSuBTpO9G1fFWTLuAmGQ0iLa90ipe/cEXWXRg1tSzpibBeihPxr7ZchspPGwVO2R+pzojRdECWA+g/AikKx0jOw2bXyRzBqnR9HuYss/N/1DbY2e2ifdCRXYmr14E4TxDpM9wLZ28OlJX42tA0jFkZAWtsTRBhZSG6fbkRBxQwA7HYhvramHwqY7a+Td5rTSgekALF/KiVQtSTwFzsA7fCMeFIs4nBDLz8I1no1SqnhpVmktqJ7u1MF56ueXX/prl9/6N+/10+/8yX/5uk+eM3dcP/X9pefjefZwcLkDWJxldZET9BI2uY21UdIJJ7bcqPM08LoGWIAHYck6uIo8LqsuhWPV5bIuRy3WZa134Ptal4NPdRyrcLEWXWVabXtm721PqvEKgAJW1jLuxt/OJhhNQ6j7zHXO1/u83PDxfj7fzy5WLRWIg9Bp6YqjCQCumUgk8KRYkwgneVDgEtelL1arJMtxWrirBJ2cs3Wyb4Bw6ASbS93kuULKijrGKQRT2IMn3AcIxXXs7DB1Uve1KLBrUKPCiZJ6Tr5+Pp9f9fJ6u770/fW8X9fzy+XHLx9+63//q7/zP115PW66n7wdmWzgGtOKEo22rwXwAhWnNqyHDd5zed7ahUcB41fCyXEz8lSzbaCcOpTbq5hpQ+DyiGdrY6YGvt/wK195cIMz+51LM91loNsNYBm4hiE1lxWkRaFsUeqJDjadu/sbbycwSU715BXusSElhKDVy3NfKrA9X2VhJ9eKYIPTJcl4epBxb3L23cew4LVCEri2DUsNuYuFAWNjgbEOlr33CY4HJ+37YNt990aTUlAgKgZWwGEpCIiq8S4aktABLC2x2qsKZ4Z8oNF+g1UYCsfW9LYKVFcGBiV59MrR/0h50rD3tmWBifxyMwdhZbuAP61PVUVeu3bJvSuVrXeBplSrHJSd0zHb8deDcS6RnHBTOFEr2s8C8BitwaKFZ25zlIGIypxF2gJ6N4BZ2QWQg6k33VuLpDDVpoaYIxjU1ECTjRnL82HZ6+XBqd0JiBmYzkwBrQ8wg6zAV/pWAx5GKrtUXLcF84fGtVsbMXAp4z/TeNYsJu4+N1Qy0FrZ0i2qFrYvRWzRHJE4aXZpjrq0uTCCRVQQ0rUxTUQG9yDVwe2rY2TqlATUsvgE+/qPi0tvbojszk7OKf4jAePugGDN0ga5MpmHNZ4TIBQeIGHZY0T5P+K2EZTvgZ7bN85D/ogKBCBaBBsTlHc0IfGHZXv6TP368JS4uKalUVEzXHs/rkY+issVgwXLibBuEbQ1AeS35iVybPb8ESk0jyrriZGZItSUgLUfogaz+9bIEIxGmpHxkasUXCBKMyn/XKnHnGYBVjXIFeAyKOuz5k5mUkoahPU8pQmP3Aordw3LuxN3t5WbYyYzVMmGsE2rOZbRWREUpwBVl5aPmvWbYIsZJa4qyz79afggbAPBZA2oZ5QNuueUBD8NetGIUMm4VW3O2wCTZQYe0dUo3U/+oaImCyLgehP+GTDMwkEbdbSQwd2hHQhtuyTJshmXhFg+AfWG/Bg3SsdmLjsIObLYhxvawTabALlKFhk54fjeJxmVgKxuJAy5mdIwjMyA30H5ajcq5jJEYrOpzt0Qp5Redsa8G3clAQYEIE1n54+CJ/LtFj7+4RvQ7b58cwiMMvjxdPaGxTxyFLD8R6UNVljWUGYmLaSP1qc4GjjhySlvpN3OPKgmiC4JfHxcdYa1dbM57rF2y+JOOr0tTaeYECWx7w9y9Xa3H9RwX5s6uGVMb9SPD2coEpbtBEvHAo4pZ3oMiToIVj3x2s/HL63f+7e//cXvvHz40Y9u93V9vd1uc7vhvNf9jlHlfG11NMFWjfFeheEpZ/YWe5eUEkpYWMUCllSHjqXjXV1WgX0scIEXXI71dOjp0NOqp/fr8rQu7+vyvr48nr58uhxrHbV4ASYGyEWM1EWWxV8cImPuRqvdxblbd3e8gaZD08Cn1/vn6/3Dy+3jy/X5etXgUhfzx8t1XROOyS74G5g5T43mznPIY2BV/mBuPHt6zjrHU8USnG4lsZfuPXOOpTCWf2Pm8OE+h/SolkeEDIJltmHKpCBGU5nGX7M4iqdwV6qhvvO84nab6+v980s/v/Tr6+vLbV5ux8dPH7/z85//+b/5Cz/3W7+gefbih4Pw3AIZWWI9NK+JyJqSYlpcKSwUDMeFz0rkCMKZwj2COACgLxmw44PSdHur47B4OA4yLXXKF5oD1Nb7zr5JyQn0nRttknHsmuzNEJ7Nyt9PMeJSsf1aHjJg473eC0XEQtRxYw9BTCWIAbXs/MHawgXTnwN5t7fVgA9FbPD7DLjZ39WlTm8kGJ76yUYDzL7jSrVFeCf04v4dWXWQAZxJ+hagGdNjUNnQWqtAHOW1cgDYW79DsGrxqIVmkYCMWrhuypyCZqZ7oFlzg8X75t09CSXCTlaFxcCkQIS42AUl6IfCxZFTDjl2IEH0pR3op3aLJjeTzlhkrZ1tmHoW8iSUnOPK7SKMYq8lios7GwMJ5e4rkY05gMbnHLWd2uYB7LjpsKwx2Ld4ACWUh0ID6Rs+0EazkeGWKaccAwPWGzOv2TwbQ1Xlt7m6mngx6YE1P3KnZOO3wAUGtCLbI7jHwP0PFY1QFFK5tfZyLCkH1ritexT3HJGbZ1YPXLVILXN/GyTN1Ogi7In+GL83JOxhHm4upLCc8ZK26QFOJV06hbv38NwegWDTfvB61Am7OADMBSlWOurU3miSTj3h67d4UHtzgrBJx0mdQo+y+0CHa8Pkl3MGHkrczRIJei9tu1nHZETbTWcOZnGTYJwTAetRyEIHv1t/QJuYpAeoxmR9DxX9tCUHUjgREEItTObB6U6MsCmmTOSlQqdoIw75yu5qmbuxsDPIpPpgop2nRP0qNj0I+w4YNsFePbTtlDb1yuyqNsqasRhtDq3cFVhO4/pogBnNCdkGbdpP1LCS3QlArlhwgSBOPxVC0NQayCgMrZOaGYMGhlbh7hzGpBTQOMC9b5bhISv0J8p9bENUZw1oDysAGh1DuvuzRRDDoOxTulwYcXPA6UlNu2lsZEfDum4eymnB18HN4SpyFlWZrtqOHci2PMqnLrM4prJIDMTeLZ4QIJ8icBKiJk7CG/8JHeMr404XiQymhRnuKlzvqNNaon31Pdlm+aSTgbkk6WGg7TFNr6fcXUqohi2EwYM0Q/rlvB3k8u5/MWnSocLj8aCxOtf23idFZtmbD0tn8CZI/mwWAMiY0IBkpt8yd2HYrpBCMhZoJKl4Cxh/coJyt+VaJcchnYqJNkw4hDnRoqg4BUWq54ylyfALbIgW4Ma/QDvJMubzxmPKAs4NYomrWNtKz2jMKqIGjaMPzO31i+ff/od//s//d9//+sN/ev2oueP+6XZ7ud9uczvP6bPHXjg2dvSJsKtC5LwyLU3uKekZiWvjL1l2Z4p7piKXq1p1cB14dznWU9VxXNZxvOO7y3r3dLx/t56e9O6ydKDWsGcG0Svk8UCDMyXEkggcSO3has4OJouzWEsL5GqBLA8Qf/P5/s3z7We3/umn288+v151RZXnAqH7QKq+081kHQu1Khjg8Jz7yb6jWwOcRJ3g1LRwnblN3dXn7TxbZ+scXFuv3SSOSx2oqUkIrh5aggPoTMkRGszYcD3mv1xqWyenAXAhFvrwnT/v8zr9eur6Oveul9vt0/X6+RW3+/Hy6frh+eOv/tYv/86/+HP373w6WzyfChce7IoFFQHvVzD6IY8G0KuYDESuolQqbE1SQIDaSniWlccMXWzsGhIrgzNu/DNk5JgyY3zDJqjWWZQZ22lCGQaydi7kDsFpaxvKRSZkz5TUmxImylcEPZZr4BonZm1lLMRgQNLDcYD2SFSqzeRhUt3OZ4850g22lCP5Cl/u5mHUjj3KTwVavXuWaBIq9KGoYGa2DSj7rfnSY9E+4GDFINke8rNJDe6gKBKHqqhFVvYGP8SbICoJcLzPsd/MCPw4/NobrRrhbApz9hnz0YmsBsQegiPwZr4lGPDB4+c5no3RuPIQucFAv6+ueERJBNoZicPlcn1oRd24sWstwbLVvG1EhJq6drnAFlToEScuNgHoQfv9uF01x2oPzkmzVjnNE0ebCYhgUTaGaJm6MhzpJOr6TbtKZTR1/uZoqArT7eZLKINs2Q+glXrZe7p8mfwfPM6QJk+BDb91CycVpN1/SA/ZLyhamMnZ3SnTecmJs1L7dh6kpULuJk3WQ1zRuXkYg4ThFq1lN0AOj7KCwvUcJr3J7qRSCOThO1GRRbWmhvaTs9LGZ8WchiJ4tdJQ4Vr8ujaeg+lt3W5+jXnPu/jYA66eyDWeXib0jRo4iKhz9gfZBSRZVisklpDI9Ka7FidgLiSiESqr78xaqnU2gAPddgmGsChyPJRrukDwJ8D44KUbI2u5niZ4wIN1eYkGAgXWINyfu/ZKJ7mNOHOdPcGhtwFzJ1CvreVGG2u/4HogiPK/404kIpNdDZuyDuq5zywDieaPPP3E7ZnGJT2UHC783FDwAc8u7KxBlXNtYknayaIFsv5UZnkyEhXoM68HmgZSuUmIiWPi7iMypbSHsNVQNvKKp6wrXyuTXNtVWcdo0d6gYs5jOXfwWu4O9y3KOLvls/hzL9nvxeOGZsxqHNmzapxcWOOkyLbgas+V8luDRNTGi7Glrb655ZL/AQkELF6IDsd9a9CsqdTZVPgp19r+sN/qYyq9kSO5472BcNi04i3mVCpiHym3qw1i5cCkGffnq91tosgVVDDveX905Oa/BbQEXRQ2xxaIKDiRoTZroDJL5Z7Hr8m36s2mCOaiatNWHvciS72lR6LpNATnVsR4pUVv+YvKCa7cvRnMj9YVilP/juTKDsXc43BDeLuIbAY4MZgdcDKvyhG1sKJbmhAO7tck9q6HyyqLXiLX0tOLPv/cX66/+o9/7cSn+w9f7ufT8zfPr9c+7zivblRRUJ+jHnk5z7j99831/ytR3QN6iOZCjjphUygsL/nC4StSa0GXhac6ni7rsurdwS/fHU/vLl8cl3dPx/un4/27dbkcXPcnqrhWVXnxNUaqpWKn5RMBWZrNaIB3ScDJ4kmDIHbwn5G6oDUnvn7un334/M3r7cfPzz/6dPt4vTsCgGW9SokNqpaF3abBzplz2HaMmtbs841qrR6cuJ/dd+iEBt3SdW6v5zlAzYF68EXFtqf3zNwHo+EIM9MKijojZXlMY3loBxnnhKp7WfYpAHU/+9ZzO3F9ub4+359f59Pry+36ej3708fbMe9++59cfv23vzfd6vfneKZwaJy0iFItoCY3j9xR3mFeu5zHW9uNXXj6bsZn4+Fq7gsVKxd8GyJ1sC5ssPURQlIlPE546IgKPZa8MQ9psNF8Bwo3E7lGb+HCEVIzW/WhflMz+4aFInAIMAhDT2KwSkg/kE7JOCHoQRhPH7r7sXjLDE7wgf0NPXgJj1a6OdaWiqfq5ywA5CKX1R6uaewW5BqP4sJwNLN2/5ERsRxygsUlhZajqqqSAhxAQkwYGXYWoNaw4j1upLfs3j0R6ZfnAbIsdvarc4vGwlR+P7YAyG8zSQLChuNADCoYm6y+dd1TY6jCrtBeXjhGRxxyalixhbJrr+fRlwXlbhMFLvtlmJlatWjQ06tySDSGiLmfTzpUsK92PL6g7Tq73rw4E58BC47hrmFgxtirqPwpsOfKkqHsP+vNbGFyU0Za92nYlRmf2/cmoci0e+bYkXAwK9zbzotIyQdMGGNgVJW+LcM7Iji2z25lERBM4Wz4rKr2UHg2EPi8+Nn5GsNiV//SUMMeQjY74KRsEHMn4jy3VQKmTbQwcU5uqv2WNwmgFBVmOTgircost+pl2YSZDmrtCYhQHSmArd/mBuQclSpVSXvPtp38MvW3I41LiWWhtQShDTRGtr/RvvJNA3W6LRiy2qOmdmtZ0WORw+IcCmGzyAeXWa4uXRNJSpLIm/WxUTITM5MwhTIs5l5BO64uIIHQ/zB7jByIJngPiFkwt6k4SKXLVRQRqD2SnP0JxqEQAYZjZ5oCYxWGNJjKm9Zmygtn4+1cO2u4E5ct/AnUcttu5MVEnzw6AY96acztWesVWG9fmARTH4HB8qTQ9n4jXC+nKVoRYIP7U3s1MAnJBGd4zvTd2yzUOMHsHwo35cbSjQFYw+5aZB65aJwUszp6qILigkZfo/F7dfNdAGqlEV523cyeBLlJUyx2SsVa7N1vYeQVhF45FIK1NqCwX9bje1Sq8HKo4xuIsVO8oS9frBTgTtSWuseuYZfbkAWqha28kAC00xTpAVEZd5t95R2JPdHrMpaBPYkOSQFM9r9HhLXZigh0Nppny5UNtXhr9DQCBXGb41he5Ek6JadDjzEOKX/8GBxj0Ih0q3w00EJMeFujVN55GTGUyMFJ48gEqXl0zkpFMLvoATKjTCOZ9TiKcB4BNqiTb44QqszdsU/6Ea6bWstNEJpcHgYYri/w1/7en/35v6Aff/6T28fv9ef+8PF6v/fZfaJfu+X45XLLSIJ/4aA1c/rFKS9h+cmOBRQr2xfBxiKOckgrEnXUqrocdSl+dbk8vV/v3x3v3/PdF5cv3h1P79ZRR1WtY3HVcVSVVvFS5HGw2B64tP8cOaiZKcDzjYChHf+3VBr/9X1wGzpH07je8bNPr3/09ac/+Xz742+e//ibTz/69Pnz4A40q0yDzcBbEFVcPKYuWJpp8C5hVZdfVvUMNEKf53nHtDjqc+Yc3aVBnyPVzCwMZgY9Q4rLuhT0MSMvTFaQP3eCEjhVI+4cZMhEIjJ7DY3OGdyuOm96ueM8dbveb7fby/1+xf16vX/6cPvTv/H17/2zv8KvcD3nUqTunLIW2SP+YCF740w6JqG3iSqysOJjEOXmOEYZtlIkH7Z842509/iUFne4BHf5GW8sZCgvJZnDRqUBhQvLiqALsG9aEnxGDh07ks1cGEsYi/V2kWBC3Wo83/KAnbObeSQd+KgIsFt+gAIKWLAW5lFH7CaGowi+J6qDARr92L/EMjgCgsDCZNRY4A7QtDrREHV4P1CQjZlIq5EdXVLDSlbHEQMPmXtPaO3q1nw+HpVZVBx64w2SdgtYFZu18ShLazBepwxopV1aqapqUieTyn6SB9+OgIsuQ7TxKbCB5DHtHIOpEE22zbZ6l1FK7fgCcVrsQZOzmDJUbz9G4XTzs1MKugyaEjyc8ubL5GI9/5PL2FON/VOVS2g7h2CH5ERDRTb8TeSVVasY2cnsBU2SKQXRgwDcCG+AHW7gnDuAR8Qjfxl3z5ZYiAE711JtXBDbDgwCzEdQktk8SyWrFsyRmihqgGqDNelmOTawSr4Pb5CZfUHeJp9PVPm9ArI00GgADQD5khtzT8cMOtdJriSUEVFT6r7D2hw4y6jb7IuuKEaEaXeFM/uTeNFW/FdUqkgVnbKTEV31BHcrd3v270d5ZGTqcdEGGwowNOnh6scIsW0iJItLx6VNcPQySo/RWCRYxVKv2ru5LWzgGYqEk7ldE2DLaj4Xaz53A3Cryw2aVtsPptyrcI9guUbea7Ryk8LKcZGjTEbJ7jFK0edTox0TgFr8ltpA2ZduuCVAS2Vb0laJBKTfZMIOaP6/av5r9Bvc3ZWAMbvmE2U2M0HddSKLZPvFNBNXzqAvXnBVHMzoHJxWAzijpJr3r3GEV3sDxmPKYDNMQR0MYQH0ihO44VDt1TeAJoySa1gjzQCkw2hH5lcJG7Jv9rprJqk0rdLyDg1PMUGiys3/NryochphcdxDtZRgRWHahDwww6GGC8ko+SZ+Xz7WYnUq+I1KmDVKn+IeQExA3bAVvWNnl/2e7XJbF3h8xuq/oD1FP9wQTj4S6eXpuGS+yp9v+4HvGO1DNOm1IckGsPUAI2p1+vKd8oVhehZhO8NvNowLGc3VpvCJx3TCwxXN2SU6f5GuCxx6F4t70pjE0C5ZWFE+uzs08rdNDCfdk29ldopy67CMqm5uybUOMpkDSlbtM+TA5qmU51kMFZw2jkm1NIpC1xBJBBiNX1UEw4Uml6XSrPO4/eJf/f6f/29/sY8f316fX69PH7++3l/mevK8d1/BPjhVhSpUWdBqMGmN/8yMCWQtqOtQUSW22JUioQpVvciFWsXF9e6yLpe6HPji/eV4hy/dA7w/3j+hlhZF4LC2DrKvK8y1nNp5NVOBNuPf766i9/Owi+I4WbXCILtoUm39ku53fP359U8+fPzhh5cffnj5wU8//vBnX3+64yrej8NjUJo5cYLCqSkKU+s4JYEdaSZct3loE2S34C2BzLwCprQkaJ1tFloETpcBS4A4OtEekdzuHJlJhQEKoSoYozecOg25osJF4gxez1vf9Pp6nq96fZ7PL/fbVc15Pqfnp3/zb//FX/vr37+vn90hotaqoZbb2MBMQTL29Bd9zkgo6RI7lbqlzcPewdvqChuEI3/DPib7iEcA5zpt9ngGici8VUI8jslClVf8rIl9YLCnXGPr8V1cFiN3d5zx7BaKyJoY39P9Bbj/RQMK4TmCVcpN+3b4yzZLUXn+oUK+VTE1ANRM0Q0LU9EvYYGaGohrF6dGGOrgLgqRcs6D8jYFzZCrHWsAL1YoQEdtuuQRWbnhrJQz8CeYcpKEg+V6KKoKFtm8BWTrHQca2mYX3RA4QHtamAPUscc8muDhshOCrc/3CfD4YWZeNmZllm5zO2YD/Ty0jCloX18P+RqlSacbRCmaLNPJNgyMDkaRe7IVF5OgOkr4rrQFVXtEeWA9GCb2LXID4dlwxKSmwJoR7LxWj2+8qB3Ot7V2tfNjNttWbgMJP6D4L84Dlsbuk8ZIoVYQWODxqPyx51HMRoCdo5rg44dpqz6mlHEen6nIERYhLGQIMgIKAlqgU3mOkv0YMz8svhkxMnvXrIliza74XD7alMGtRACqeRvLoS1talcn+yJZQAxztt7/TG6seffHetTvfiBBDMflQ/lHuCRN3Zo2IxGLgWddwRvF2FfauoXJXX+whxsAVQxC3bNufsAa4wQ4Y5dUj6ZiXjoz45NjFVEtQTPCkt+KC5JaiouPQWd/FWYG1SWCdxMuk/l7nwEg1qixCjNTCU1hVliWihDSKAi1VdGu7pHlEvRBXjSdgEigKcrClmA1TeybGB1DbYBiG+ruxBCbN2qi1avo4+DJgq00Ma3gLA9sx02fzJG/pYitXeLWboYbWlD5G8nlkAlMN1oTNkkplbII1RmO1u8I6b3f1udh/7eXOmMNJ0p3ECk3KeCgisvAWewI4Z7Y+sxRcRnEM9piMIEIz59JE25t0dhqD9zG3OUHKx1gwey8iFq+sBYSEgQMPBJC2RHDV7XWSmyBEMtEJVoZ3Xysa9o9sjZf5zl+Lm6uBypvRpBHBdxnunpPCxX6gVuq6OS40UF3maRmGMJv9Ib3Udtbrsxr5CgzxXsqZf8YY3r+p15ioGDedsubmLXK5lJR6TrrwMjdpBZPqe5eyokllz/uRu3yHdwNFQBYlmpwi8j0zP5ZkNHE/VN2hI9Gb/8gxlSZCHRoVKHdKXj1Ixxx/YtSwKTV5h5xX8CGXCDPAfql+DqDy9IhZz6CuCyt67ziu/df+es///1f/uLTy+fP39x+9tPXl88vd/X99XrrlTCv5Ys5LNnDopakkoSOvwUqgf8xarZY0IFCYZV4sLS8e+ogLwvHYhUu79a7p3r/7nj3hC8X3x8XrvV0OdZRlcU+QFFT09bCPNqzfutXpziHGX/FmlxAsRZJb8PDlMeEDfEgzFvfuuecnvX83D/+/PLHXz//8NP9D79++S8//tlPnj9/uvX1zlPSxfC41rEMF43a6znGHUC7G7El71pYVV5TVD1sjarvOnVO0SVLAiCqRwDPFqdnCpLa6WQ84CfolORFxeqotzELUIeMchhyB6q+4XpX3+r5dW43vX4+P7+8zIzu1/r89J3v8e//8794/OlPNz1f8AXqqCNTHlhRnyA6r1IFlmYqY69zUQRAjoQyhbD/y5OFgVoRGfVClSxhcBWB/Qysr0g5PLF87oKHwQhNuBQDRDbs3jZc5a491Q3tBD8dJsznJW4f0wb8jSgPoKxz8S+nj0YBoQaHCRk7r2BDVYgk6UEXkKAKXDA/6SMWW7bJLxArmw9DR7uw6OlUjk6tI6GXgp4HbnUfkxjip2sHQW7MUt5Xr+IUBj3oaDpQRI1oxzyXfULAXu88LIRlgWbUY4s5yyU15x1zyptsTRko1VSVpDMyNXpsQbEWtNFPRdXiYevMTYA2RvUw7qRAEWFf76RrwSFAD/amvBuz0TNNpzF1jUF+F5YIjcqd+XJIx6bn1qYWtzIpWctcf8FvdgxAzX58AoAZPlpvx5lKVt2RF7UZa6Qf9v9VAgxSWsOT6rZyQPZ0uuIkk5aOA5q2N+5eiYY5GDlzQZRccYeIatnwDQTH84JrKdbSmzbXVFxEDN+ggRXFBIzCiR4SpCvW3JppUaK9gufNF/jxrau2hfhDI2QAx4xKfDe85q81PQKKWPbVgfFeV+K9O2MpzsyJE3y0TczA0nZMSNmh4oZB83f9QU6XvqhHYb2QC+0yh87Yu9cEs9HM3m+koOIKNThTnD28khovEJlo/6ppzcmx46mqVavWypbLI6XGzHI/O27vtxSqwCXbN7lYdu2jNCsyxMc4cXjToA+1T4llV7a6DWhSy4g2KiEoj9T/2w+hB6MZWZcmPxABwGlQhBUxeFvV59yQ2siHqRGhUG2pOfaN0Kin4pOR9tMMhmQc1H03otlmMXjDhAauKCThBc+QmlxeDJH7t2sDKPv13kZoanfcxnoh2O7OmSxPWQQqajTnK18TLxuBM7NRDqSthWL6ZbvmEivQEQLlVLBwq0p3j+kXgalDE7LLDgFZYVB0WYNduKS8m/QhAc0dvf27kEW86Lekx+0R5eiRqxXAaFe0m/mBZrCsaqea+fLsVPIuWd1OIZSbP8w2mbcWAPuxhsw3d0bIFoDGZAzpJ7EG09t6Qt/O8VB7PoZJ/E4oo9DuH4z+eCyjPBmLR1dfmcpHDnSQvC0TyLoXJt28zf+Nx3YyzUT3DU7qtc2880ocRgQg6xKYZmU/oJ2O3BKIY2Bw911+UaVCjImZPcD+jTYRy400ZBp0ZIg6lDJjCdJG4+lt0I0ij1UXYHQZLjzpGM6Xv3L8xb/1K/OlPn/98vrhPD+/3u5zu+km3u6nzWVH3XMSNYMWt0bLnd925lukVwqT8Ka/cRvcpvELfamqWmuBB3BwXfD+y/XVu/XlF8eXXzx98fRuHYdhnw4GJ3hVqmrQqnq4IW/JN0BilZsUj0VycYFH4emoAo6AF5Q04FQDIRKoklSsUy7TL3Oul7u++fj6w69f/uBnH37wJ3/8w5/+5GcvHz+/fLrdT1Zx1czd+3oEaooden+SteuAeqYtAViwMnrIE4DHCQRyjZ18N33WQHNuQpv52lNOgkYcVI8GnGlGK1KOj6XLHnxzydUjdON6ndtt7rd+vur1Pi/P1+vz/XX6/vmp+fk3/7tf+Cu/+8s3vmC+qn63eLpow+qBFkiWdZfuZJ0ogzXDJgjajllwWeG1Hmn0UzRV1ORjHCYjQSEGsKOo/S6xvZRjHwEnNDdC9ejcZW2hE6IQoWOUt8Z9HdaZEkFUyk1vljY+6qmHqV1qAC7m3HC5ZsfE18KVfnE74OUmA6BIZjPudETrgFQ1gnA2hOVLL7bPnTOQ4RBHy5pM/6L8X8x4nGxtnfy0Qy/CL8OxHbP8kOQ1PQAzv2UOpEwv0/rCqGtT3owBG6+T3xnN+vEm2uW9mwY0GHfEBPG8L4OzcDjwA/Pj3+lpwzmTyMEAW/WQAnjJkTX7egCJykri1A1kiyfIOd7eb2bUhTau4zVTcQMCs2Yz2d7FfVXbZ0R2hvWfYqZdyo/cyvhN2iZeICcLMf3qMhpM7fXyLrZyzrV58GLNshuQ6xpim4oQ4K4YikUvsCElpebYAHjKWKeX2UzAPguyI+LUJBfQ8nG8XcRo9EyNc/YnUeKIu90BMiaJEBcToASWPFskV056biJKnt/2xd0a73wAliZ/u1DgogB3VgAr+hZTPO2V62pHiPxOae9VjgzKakH7AdtQwnWjqAUMj5kEKTipFzzNKVqCHK2H35CgrLBOkbTeYFCG8xwPQ6ai8gUMdB/IqTgNboEWe1Yt2U0UmkGWLBVGU6IsKJNV0FNV4911gO2LXO8rVpYuLQIHWE/jUYwwMCJWpBV2xNv2rdHTwArI+IkvzOBhqwLPLn2roLBXLPfhCbYjB2NVDVCqlli1xmbPE/rSRkQ7zFiVuaWGtP6fB/o0PflQkaZd077PXJzBggHwEqWMT3HEOQfA2dOnaNtRjANQDxY9t+1h1gy1YB6XsgzBy9fQ3GObfOG+kqJ5Bk058JgDHVvBMTEPj8IPUleSEUQuOnB5YM5qxon+P0IoOjg7kAhmH9C9231/nJbIaYTHBlfl7XVLVRwsZHe0DTtwur9KierwW3Y/Y16qQtSPSM1k2o2zffOQjA5XFIV+kGvsyOVD/+gUFgvSRE1o7yfat6h1epDO3xCxs/G1md38ALTjHpLl9IgvPr1miQpx5HJYR3lvPBU/LRjBI2URnflyAJE3lTAYlIu+YAgtSx9GVYe5B/fj/jcHpp3GsIa0DRmYSyU8omHwqPQzgSj8EvyDH1Q4zK5OEGuoYl1neWcMwx15H0eOEE9wldSa8dQReuytXeIduNB7bZzfsbybb90vuFDHuehSpq7EuuP4Lr789Gd+56tf/K378/nTD38yP/pxfTiv1X1v1a2OSK9Ui2PlhUperyPlcYg4rKjanLAz38JglsujYlUVi4eqRB6Xy1pHvX/i+3fr3ZfHF++eXOVWqKtxryOs8hTi6HqepzDVLc59hjyhBc1ocbRYy6zJ5YCquGrVmqqdhiSii0s4RufqhRIuUHsT9uo5Pel5EsA6b3Wf8671oW9/6sZ3X15+/qaf/0pfPH35FS5n4VI6sBiVbw1VK5r8FkrrVONgS8IF3UVdgM+lURvhOkYnl71+l4dTT1I8yNMemgWIxt00glbrLB4YO7Jy1WVa5JkxOKiOQz3ZF9G4XoeLT6/9/LSO9/zp5+uvfPHza7H59Xd/6avf/nu/8B//H5/qA/HUw1Wp86tYXpZ4smuwUD0btGfTsos45vjQh5nCMj++B6AU3MJsXfENkIV8UAF5n8VDB7mWRukgRXDFVCUFVm2xleOao8PyLCORU0nfLvMENPRAQVpw7T0bhCiWWpVRUeVRb2p9SuWQkRamYh1X2CphyyrOwiGJFXn/SGtNq0gseYjVoXdhm+a9eSGYPnv4/gYu68UKB2bWo4XDDsJhAMdEvKuzlHsK6ldi77JrA3xYVVt6WNgNmPuoyp9NybtgW97SebbOO6e8IUpL1T1uEFPHepzKBjeasSWKbFeVJKjoVhXZiYE4VHFGB+IS55UapGpR4vQIHeciUgO7y2f18WZXMiwgEBcLkmBmLHkjuQ90ZFYRd0OKKrA5hZXgNUj5FFrV9Ylp3kGoW0mrvLZ+nOrd+bhsdB2lnsifrTed3Qq5+0MhvNOjdK22kHsDoVycbvuvG5mihCoMij6Ws0V3rqrZNn1wSxj6KK2XawCjhH7p+/th/0XfueoBltuwGs9eLCSEUiPGBR7nPkMRyMWOqva1jMUksDZW7mvXAtdKeQ4XPmaQhTMknvIRCdvZj03IADdlkjlD+nZZNRUA0CCQoTqA5HIs2aWYk3EgyVCwQ3NsOWa5UNaEpT9xZVNCSSv8o8TH8MkD/LMkspYwp6ZnWtOYOI9ELVSaU5ypE4DNERikR9rmqWv48NTNCIA/bpgWTmFKmHIPX4F4YRqIcXZziMxo0ACsEYaDoqo2SOrKxa8Tj7YSDi4TuDlIrgsPwwnBcYwme3ZIVipMuhaAyxi5tIacmdmzyDKlzohirG2x4tJP+q1eL0uYJWmU4e16mGRFbTFYLu5hj+YjKcOlr10uahdmgYHrIdjP0YDK49MjFsaGyx7fN7oAowL+F+RYsetzX/jy1DjBw2MI/pvUzLnBeMAC6ryrbCtMnx+8iZEZrux8mrDnQ29f05gpKjpyl8YcHkhVzXI3YVTmwTyH4owRXiUEGIb0XJMy6lK7ag7mLJminP3XybIHjOy2ovyKSN7llwQtQ1CIVgzegp1ueoSw7pyeFeaegmyuhbQCbdNEUO5kZt7ahz1tK468/c8dc5zemEUrrgQbwkzajEVgMLNNSIEROsC7uFFuD1+De/ZfKIY187Tx7mPz3AgO2LuXkjiYJWzw1nii1QkYzIPSLWQl8E4PYzRgf/OxsGllOQNX2mwVDnBKiytjPd4kWUVeunBfLYjswtOqy9OqRn/vV9/99v/wF6du3/zk04cf3+4vp877/YazMeM3LBjChrcBBl9UxW52Le838XY3KyrSGS/jmEsALsXjUqtYa60nPV3qq/f44qv15XfercuB8270z3PuwoKEkwDUPTMlcezfRJ4mzbVSkpbqcqljqQAeR/77aeFyrPdHXQ6uqlWlVWOijmuW22gCPLtmdLfPPu+a7rPB8xxdb/Pp48uPvvn09U8+/tHXz3/wo29+8NOvf/z8/Px6f7n27daqRT6xLgfL8+XoB8FYPnanYsQCFoZ9HRWfnlZVlW1LiFNaeMeYA01xlrCGC1AWhS/WGUHgKmEdtYATC+RaGfRz97Fby8a9z9vr+fJ8e71eXz/fPn76/Onz+dy3s+e49F/6S3/2z//tX/j0/qd39PFysXHgWiCHB7Da5741a2FDQrl+1lmv4InYGDm32tnTsYB9Gyw13Izwoxqq5TCRSoTD7MiItiH5DxH96s3pwnhYNByJleM6zXKSBDBGYwnQ+wpAPEQY8SWKCOKBAHG7EgWrdV/5KMLEKT2gKdMNy5Polky7c5gBVm0sERk6wGwkz4H5oZVwDt1aK2hhlSHAB+xfGZbcfjSbYLTVgresKhOso+U5H2g5wxdpWMPTTJtFTmmoYQaEbNQIDZq4ST0cQCegLo3QRW1XAbAm2munIwMGaSxM+jhtul7bgiwzwVaLEPCg82afGRKAhaolb5Mc+MNtmY/rw7RAPphkBzl+O6pBc1nAlBnj3k3IsAHKAw/5CaDCIu+Tp60WiLom5nYlaDI/6ziVbZOgBjy2SJguO5OPdotnsFByc0mAhisNJ0aa7A/hlFMYCzzsDcKB59Dcf7kZQQRFztr5Lrs919hkUxHvB22Nq4kPXUEqTAV+Dos2A/uJRGEce4eyJZf4GDOoydQ6lXuoZTC4UMtjWr7byA/K7bVhnbBl6cTexyvJrrebPXGR7BYcMmPjAOA5BWm8AVNEWbatzE2RrUixN64Gu6QrKhVXLe5NRFcVLZcsANFegOTFUXQ7L2iRdqDd3aK8XbUfOR5sjLiyzU/tOZSaC1dnpCm1LqRCDadytANdJJ5ZhMa2l12+hbmQjEu7Up9o2Y13Iku6JKCpimbGp2DfWELTRJXXOHFTCnBNxKgE/XBU2FjEAoZj30p3YjPbVO7RTpBbxu1wOummJz8RNk0SbAG2AfpHqb3lpqgqbwBdTiQOzQuFA5bILvZCLVhnHmhZeghP5kE9pmQUUo9b6/pwkQY8Jgh2IJI0sdBuH8haUjM6eqP4lmGB7BlxMdukCUx5Ypw9di4TgGrOmo1qbVgDVKFmZvmDDqoGQy3UWEGi8RvOraeMalgJhM23vOHSHhla8qDRKhI6G2TVyMtZ7PuUtuYxHgFIbdsLcPthunWO382D1TYrIOSlbsSn1RTiV4SRk046SD7YXgGO0RPKa/JDdmWdnLoZoUcoAUyFkVFTpuHZSzmQsmGMhmjgKdwIN5kniAd3JT9PxE3CPzFlNYTiMmxvQtFD4iqrtwJ8mrWx8m6CN3kY1bRCzo/vWMWQcBD7A9UIqOAjaKEWMdTa0/4eRZbApRq3tidYjak6ZLvAZSfAYmEWjxEaRWCt9VQvf+rjX/w7v/hLf/m7P/n8g5/80cuHr/v2SX3WeY56zmYR54BAYwQsoou013QbGJm8iEnPjuKC5gHcFo9aBXHVWjiqajWO9f7L+uqLpy/eu/vCkMVeetLMeZjZJXiedzgFNvD+afGOdWIWz6WCzibW0jnHgToWMJfjOLCOY8jj3UEtj2tr3XR15TEnsARM8yC11Kq1zk6C8Mo01Ro25oDEUxfe1yf0va/3sz7c8en28t0vv/zOsZ5Q78764vL05dOxzu51Uc9B3M4FSsdMN4A6BvOo5uGt5lWSByM4UBcw1bqjSxfx9C4k9unBRmZlN6VRrcy5F6vWOeafsUTryLnRvOI0z6rXK9fH8yhdoJ99/Xx5d6nn4+np/N5vfPXb//SX/+THH1/+w9zl1fLX6RPrIFhncY16cZ3qWAQIkIaqaH2s4nskEBd9rpcUNapZLW0nOe3GH/BAJD0wp0Ing7I4mm3oLy5kbTSz6aIwjVW+zkCMOB3uHiHLwFghTmgbEB5aCm/4UcMqepYEEh6zZbZ/GrJo1WMpWEi+CON6tPET62+V4dURahQKANb5lT8i9zPYxd40Y7mTvJ16Z4MMFcXU7mOSDRH7f1o6QSCSSvMgrMXdu++/W9vDkSLK5vrlYjGlznh+zKhRY1o69RD2DufggRjTuFxyHshIn8dQXRxpV7CgOtSHyFquH6fInrcQLubpW8QQlNsGllHEeOQ5+ofE+4wqm4kKt+HH+qadITVmlvYh5rf0kehIO6FhRvgYIguxEVB8FiSW2VdknAKPOoIacdTmc1kwca6kjU5NszwLEX4WUpOWcwnJ7eqcET5qKoWT8ARH/H4klWoKywIvWAD/cH9WaVCULV8DegNFxE8hWbcfizIZQ1JMwRNphGgMCruE8fSNSmrsM+3nDFgLZMWHlnXFoJc5qSbWvbsi2jUe5aNSbYTA/9j4sXLMYBltZU6nEZgx1YM8blUoHgEpsiTaFYsDSR5oqv8cOB0BMPZv1b7W5vhH5Cp694XBvRY6giqPrryhlhCkmSalUk9Jd8iQeFa5VamHBxRtKCI52VCBrUJzuQ0+R6G2QUYppCIhkDOqJYKzGaAVRsZdygxZE1uAR88aYNU6ZrcHFoNhAzKCsW0vSFxRYDgjDxcxa1PCtU0VurhED3xYUbbBIVON6rhbc4HWryjYikrQ0tLWzSsgu81fXczi3M68ZtRcsqMxrANExJLJSAhKa68kzJ7oYkwoIrQcyBvSXFmv2dM2LoO93DkhtnZLJtaghTU667AQh7mz+dgqnPGnqMndCJPnPRAgsXZyM3A2Y8vKmvA2fvc1q2SCcyYMHsflYClvnrsfdPO6/yhJUQEo6LZpj4/muLHWPJ6nHDrHedJcEWwF5RvFBSE44LQySbuXWdMfUCm7WfbZReYzfLGN1Mj2sEbZU/E7zBHRGjIKAkfzxxCZYI3WjPbmSMHCf5EGkGzO7vfuCLDG1iJ+NK5lChFAhbcMnykvjHL3Haos5Vg9sgfkf9Nghr/ddNJ3vuC3YEonxDQVcEWTwBFELoE0sYnIE4D3SQdV81BzgBsfEb1toLF+yPETxVlcWLzPedHTIgEdh75z/4XfrD/3d/4s7i8/+U8fvv7h/ePn83btHs3MeboVu4inphc5s8ZCq1UY1LKPtFsWE6e2Zy6gY5jmNhRaa9VF6yguHMfx9A5fffH+3WWsGfMYTzuS+tR3Qfe2XGqWSqXFY96p7qUeZ0G9O9DCOp4KWke9vxzFebo8Nc4LVh3+DNUSOBeq7y0wPCiD1BTu01VBWaXBHKxRr8LoJBbOe2NqSriTX855U19P3r949+6p3k89z/3OL76z3h1sqVpDzrQVEzyly9njAbo6iFOoC3gdFHGUGpjiOZyexSpWphsRrxcYEaJqdMLAkuGsAYmyv4Sh+CEOwf12DRqsW991F2+9np8O9OXp9v6bO+9fFM+n79ev/7fH3/jxn/5P9fqj/+VTN1ClOupcminWVOEEAayI4VVAVbVaVE3ZB9SomXHqcLoR3+yrKrni3oBQE6XHwX/TTQPwrK8C2lKS2BmisVacU7VaXYEoLTbJramd4y0XEcQVHZ31EmmR8EgEUu1xuOiaFBw3c83hqCf6mUCu+XqJZWEofI/N/HjKi/EG8N20PcIu5K3LxuGdvl6daLm+R8kIgjw5G68ExS2TnyATjhUWaORrDrSWzqrF1A+G3bMuKiVrqexvw16iKgAGSfSop4WZNWU+8CRULE/8odYysKq4x3kPTNqwfjjtgBAGyz2Mh9v83EsDHFYUDwE0E/Lof49Tyr40g6MjjdawoWWSbYBHEPTD9+sSxLdZDbO+4+tRU2XfumhMWraJY4oMuyn4FJc1IEWiJgZOwRNRixrQoiprwopjShlmRT06u/mlPdzohb2TMm4jzu0c4mNUKluU+X1OY7uZa1ziw83s0jI2PpBzpfHzuK3a6lbmpFa87dW+eO6XwQ3a+XOnXtocAfYNTXrDHlHkBnPhRWuxEP3/U/Vny7Zl2XEg5j7mOvdGZN+hJRMAiY4oUCwWCanEEkUjy0zNk970r/qC+gLpQSozlVmVFRuQQGZGxL3nnL3mGK4H97lvioQlkBH3nrP3WnOOxt2HD566Mfy8BNNYNbQjjfkWa6s1wkLb4dDX3pCau9SAsAzO5NY37fmKbkzwggxpsCwGuwh21A3BxOmUOAJ+y6o9dtshewZYp+uDMu5dZUS2DVXr5HbZGCc2X8EAhOXIh1rGSbEwPUto1LLM11b/6zraKVvTOSIQ08IL6H2XO/gpjmrRxUTrCEaeweoIUA6vwp5xbJBcaVLWDIxDtP+/NRo9bRQ3XxGIs8CUZhiqEnquUzLXq80q+ai6wilNRPMB2A9cSaatM7FH2/22wJF3h7uMgICppqhx1SibOJ7qaOTKg33iN0aq8l0zyBzrKGXY9iShNCCGeD32s2TZBsGuyh7wOP9GImeezlU56TZ7+ghudQrRy8k74qwTpcN+y6PEhEX2Ov7XAYp92wi7bJ3RzxxN9Gg5ruZEub3IZH/N0Zc5982eWpxpOJgbqalTUaZq9d1OQct0gzxjcDo1erpyzDxp3XSMHuIb1yY4qoD0bFYup/lkIouKdZwUUusnYHOkRY6nN/Kb9XxXafImeDkkc0CgW5/AV5ZVGRsIxpW4+8WKCih14tKZsFMcDcUhl6d8U67Q/VGud6EHxSdy8OwwMRE7LqEhDacOG9buQvTc6+p5GeMdlkO5sZWHbfSsjywVQHz3n//UEJjBdTyXVOaGAeP1tsQl0VRJAdira7hejBBcq4pf1de/iz/6V7/4nT+t//Xf/+3f/k+Pb/6+398e3aSu+5Y0Xah9s6ghlh9yqTQ9VReQSa3l9MqrjOQu+M6aoLy4Xl6ul5Kq1vVyFa+X+uqDSG2Iczz5JM74/VDV2kgidw0326ptal2FjcKMqogPVRyy9NUL13WtwtJeV61Ll1C8prUDCPMD6lFb4+5O5KCucimVLW0Aa2Z6LTZXNc502BZfxa8GbwP03Pdb3/2Dr756/bi+2rr729cP/eOPH17YAjm9qm4bVkMNG1/4e6lAI/5Zcx5Om2Rp5iKmyGLvHKyCt52PalV3F8dbrGugNYLXmVwbKrQXKHqDGTwuzJHue73ffOv57vX+3odZ9RHf4Acvn376o6/+4l98vb55efvm8ev/5fPL+qiZuZxZarr9TNAollbAjSlgzoIwX4SJU42e9NtJQGbq8geZYLVieBj1glk6ZuWJA0VDVFnObw9L0viuRdNDG9/lqCHRHDgcPw7HjVjvQPE7ztXVDLHgLNo8BbUlGGeCCvY9BePNzmqb1CdI+SdHPRL50SKG6wW7GigJq8KGl1rCGP46GGKbra/xKFAAOiGWMwws4Za7QsEFNDMZAYEpWYwLFMoBt2am1qLtLc8Q45PgV4C/1DIjWupRTWDPnuk+LacrS+MalSElHKQx4lQ3WGUXs+NSmXw1E0DfQ8AC6FFK0LpbIdWt85R7kQMKYcFDvlOeJlHQShOkIbpdk1qmfEA8BIIaECNzseg6dbyyleFA+a689SUJUpbX8QviBkO59OQEhnO5tqqT+hipcxQOKzG84tV32G8FsknHaCZJ04fwgo4tbtaWIVHfcCqUImdNzdObgnk+c/klWFrt2mFl8ldckI2DXXKniQ++x3aA9QiVGekJg+Ce84BluV9GwRgASl/ARrN4jrg6TTaX1AZrZSTA06qirH2pUyvgNNslPh1M/L9H2ZuqafMDfn2XXP1L9LIAy7b92POxvJ3bvzTTw89JFGZo0y2+quQRGSm7eqNH8bn3G88h7XND4i0gEbO2+snWaQ6B5KcOmN0Ks8XLWGHJ1b/DO+QJSleCWS6XWsXVuVs+Vz2T9obklG1sCqeCy+8WwT7/haGNTFSIVUOM2nWqqb5R2QPX4Egd5hXPeeNM/yWUh2jMkMCMdZcQ4bGnBRhmx3ZLUikVHYLrOiHOOHbajFPpZQZcPPiDQtcVSJVNJi3pKKyOGouEGiJbs9YRAuXjNpNE3KO7zwSP2Ehu4bOGfugRVJeGM7qsn3Mum4SOOSjsF16lxFkeSZYArWyRMD1aQA5DAovDjs0+RCxwkwvYntIzCsUzgjONdTQZXwhnnQ4VIKmOe5IOgrQchaomMqPUoTnjRWYbMFkDVQ7yoNYps/n8LS5eDbp3+DKPadHlng2rjqGOC3pTlHX4cQyiQyoeMxwSM17O+KXDoPzbjZ8VOU/pZnQz8sIrZShRvhEmBeL9cP7DRzudjA80EOAeYtxBIObhAYTMybhGHOdEs0iqSo9iMAqUp29sowkLT+e8F3vkHdwDCmFR51MkWUFQVfn5uKYZiOjGtZZVov4pRWoV9qhq1Wh9wHQX6yqu73/86sfv3/9n3/uzf/mzb37zd//L//fvvvt73G/s0X5MtWZJPcvQpcxehQpP3Y125RP7xYO3Vkmy+IfgaBVsynVxUaxBifVhCB/kscCB6iah6WHVzJ7WtYK9Xeh767myBaNVaPEFCq64cK1VSyy7LF/DjVmWA6+PVGO0MOhLbAJrYbMILMo14BrE82/Ff6EXr+2l5esCmpssbs4Cbsxuzd6vwle7vnddb1uf96dvX99/+oOvvs8PH7g8KiE2ODPLyx3LL5moBQzV41GetWccO8gaNUutg9AkjXDV3DOyEG8jygCJKFzUNmnfo4NFcWzecE9Lm9f7+3zClB6/+YCvPm5eXJ/4FfuHP60/+Gdf/+bvfvTNd+/9q1qLdd1779JFVK/7S2Ujq2lIqIptTwO3q0VgXLiEZdWzLxBAjVxr8Qu64aR4iAXA4JZjT/wb7N1T4MxTaxArbqcwMi1ABIFSi1eoBVdQuqKZyRiSDb9SrBh/rh5cLghoqtZgdvqEzAEEVEjTysRw5qKzTReOXyRG0lTJS7IKR+Azp4YeNIRmlSYiKD/oa2VasM50o8spVGBqRQZ/cNNyFkJIFAUywgLIZSphkpiBcPOFJW6D1yOy6tJqNYq7p1sDDrpRi6unUREhg1jjSs7Hz+/bnZm2XQkGeBKkkf+Crv5DlpQwVfQAPXBGvwka+fBllTDBPONEVyhNikm40LG48hn7EaQysfQ53TE6LQAEU/+edDp1SmqAQM8QuOIKf7jKgUu4AFxnBFteRuhM4uI79OakN+EXxHARmBmW4c9kWiKdiOD6BiLLxBlnqg6tJuqoWHwNauLUmRajSG1qofpkKatU6NED+P/Q867ppHxiKPehJGswK98UcJ6NEKukKCeQyuroXYMSp54UdHKqkMUIJQD9bJjjzOH/Y9Vl2tctsCntwGe2S7IK79n0j1hVWJ1PApSuFMLwAVnkUOqY1UDQGrZDsJE3HGVhhjqS3QL3JfmSh5mDL+UyFlzO75YbI4EQlNHGwvNHiQiVI4Js4IPvhe+sLZKUr2pMP+1Kamt303VODM41igp3RH+3M7SbBkbhxMZ/fAhuhhJACxYQz7l1aWdMzx5tNEzyS8Dw+LEwx1dPDNjaiCMCP1yr5MYrPotVMP80DS4uajrDfxLxxEItumn68Ln/XZhWByZROaHMeDZG3f1yLRuYSemdU+DTscoUcj0piZyA6kppmBiPNRhCO8rmskn7HALYoZeABstDOd5BD5RZoAPeJpPQj6PcO8DayxmP80yzGCdLZxToQExzJCAGdtgYrUE/9ePk6rZbbiUvUXymS46mfEzMapJoRDJo2tmOcajnr3oi6ANdklADXQ49MdiofCK346bOfYUstiKWDvyvSGndixoCKDP7OW1u8hxpDrCT3ehIrFGumjsqmAgRn2s7xgGAsHrBAGQwi7w1CAWusGbIPXYytF7Y5kST/tKh0dQbzixayeyaEDV+Lqw9nqEJjxh0Jj9/vIQvKsG0EIYEnDcqtUY0xOfSIho6nbIKgGrQLNIzSBZo+R+6/SpiCtv7Xbk+9DWPvT5g+hqu9b39g7/86h/+yx/p4n/4//zq1//x8f7g26MxnvKZuvFu8xkDCpzV5OIUl41OcHBHQwOXJGikVdcysKDFumrVC2fJfnoLWouLxVIP0Wj2BbWhR+Gepm6Bi7z9rGY2rlqO9jtNPLRqOCtPgShtogqlRMOq4sxa3MJcdU2hOdt9MraGN4N1vgTFK4HXUJcPFYE9I8zlLni9QBxu7JqtebnWPWu/vd79cX/Uj3TN7rc1MzNf6Xsf6kWtZe2Jh3anwDXXzB0C+31oCFqrjPVOqwot0vpJaml216wC2jFCsasVvrghCJ2lIw4rBdySetsC1faOUu37w+Lr/fbxbf3d5/ef8OrZPyr87Ecf7j94++N/9oPf/Jf5n/+H/3ThY4l9rX6MoKtWaywPQS0PBkX+L5deKa80dfSq4Bw9ultVJqo/AZFomw0m1xTQwaiKBiZN0MkiA5DekWg5nXECI8diFrRQmMLC5cxjhLVIr4tQeRod7qydxafOYIIneATbqibGcABvEbTg3NHcDknCgQORReBnTEywWehoKqI4a2qkVcYXm4Z84CLJUHFYT6I8T1zjyYeIqTyZ5ydqDBfF2TrwiBKHNCIusZaAJUwt1yVMyWjtVkYCwTQDRl4wIDY13eDejexIUXlJZfFIRgCaAAahBlbek82c3F9NAGz1sxw/Si7XuRYguQTHEnUJvYDBNNZizxToddxHO0RwZtuM0wXHTJNkYU21cer0FW0ZWqpLQ1NnMZNjgdVC/lg8/VaApXNK5ywoDmScF6DgOqRs3hmbPWcSNSob1nA4abe0ENVc64zUZrECsWYslvFMlMeE59ltGnBOVWsFWParugp02eAqMOaU8Gev6KHKM9jxgjMsa6J97H4ZqfJEVbqW+e1O++aRAEQuEL550k5zTOe7rDhgGYKAPccWkHrX+Fjo8MhLgAkQe/gIethsnGCFehJBGZKCxWdg2EfbXTsrG0NG20OBHMaHbDnFn7A1sL22/N6R7cbmmxgk+iAP/t9EWV1BgZ6TAS0vqkPqx+epy7xN6eTyoJRllnRmMGY3Zh8UEkEkzx6VzPRW6i6XeAowbF4lvAwm4+I8bV20Btld3qjOtR1TDZaPGuSGLLvggEZeLDow45OA3adBEhSLmLTX+RERXAD0GFMd1xP/p6FMCivbm3xtOLWe7RCN5COxVMSxq8m3qjgvJyChBlStXBTHYJUQ20WnHsXhIMQgUJNq3RtdlHZeQrVP70rvambFMuwqqgoR3Lm1KoyGI7/4M1kkeFSIA+gwfCbVJk8cS3GcBE/RapTCcDVpXzvfneaATwa02KIHcQNZKIcqgLFs7Wzn88PLY2zVMjbdZoqNybYG/6SMPJfUMf8WPLtl6Kdw+voTMQ3N5Fe7TDGeMgj6Idt7y6a1LAv2n1Dn6ZKf3S1y8cQgH0eojaSrrNfNvgORGmRXDYB4NDgEffG6lt3Y3R6v5fz5vAXWzLkznDD0p+ugolcAKvW4v5dVHjnwLhbKLhuHKJ30OIaurMpkgBVkJZzfTBoc10wZ5mIZU5HLhyVGF5adXCmVsr47uyOKuAovVrh++PgBuIDB1/idf3L90b/76U9+f/2Xv/32P/yvr4/vut+77q279rzcXZsL4mi1CqMFaAEO7zO9ZeHAAIzXLQFmJM4jVauUXqqhARoXPPwljNSYmj0L1Y/Z0t27u/vWPdgzNqxwhTloOxLSY7IOTSIwVRerXsjrurgqW4o9ZjI6IzZ2Rtf2tplVm9yJsFWrhtcMWxrVRs2uGdxSb2jW5gC9Z/pWC6pqYBZH8paTt/v1m9fXb97vV81n6dv78c3j8d57Xx9cIcLvNhlVU8ISeLFsQDv0aHijp4B1A0Utb8zo505GZDxuND2ny9f0iNwzg3YebPVuk/GextZ2dG31u9573ve8f9J3nz7/5u3+9Km/+7vH+xt/8IMPP//l/Om//tGP//HHx/154cOql+sFXLN6FUpc5t1DkDmI0hVLuzoWEUogohazdGMG0yVhspTMfqU+0OEqhWd5KaTtNlPg62EARSksCjrqj4T44+iBAFsGnzzeReODOtSxy+V0KSJWzFaqmdY8RM2EVvfldnU3yRNQ9sSQ9n2ThAWMHU8EjSb0nkxqx6NcmMPZn3hnfAVYMRTBudoIkTiijOBlY+XIdEapg9JCtP8GAWtWcTYZpDOT4lZuPmRp7D8PJf+je9CcMAD+fxOUcu/BANtoLrX8uoLEtan3DgTll2exnY4CBxLTHrIw2M6C8ToSQEeMC84IE1xk0H7iYzkB6OGx2B/ByxxmscjxPK7rZelEV0fllfpEp2BxfrdM3EXV4hGbQQKWgU4GPy5VBWoSlp4lvVOdvNEtY93PYs7nxD2F86q8wrST6AC/OYP7kMY1qsmosj+QOBwNpw+VJu+RxHL9T8OLa06VVToG2i54DEg5jzmBS6FuR2SHaiJB7NkQGlo2GPd19TUoL4PIzEzZmami46D/lA5Fphx0PU+EEzPW6Yp4BlisgJbw1BE6jLvaxpxznn/se1Mlt61kF23JXKYlUAW5vnk2JTX6ojfxT3AJJgPuQ4FVz7Fv9yZeLm48GcdN6/yQmKQNPQxJBaETxtr0WhbHKm3oKh9BMWsXpKciyDGPgE2vXSQsO7D6RyTOFnDmS+HJ2CK5ahVTeCh1xkw6cIfCoyH2P3RQzppdsbggD/Uh3C+fx/eJT58npAC2eVFG1YNsKllAk9Eid4PGcxi9hU+iOGJ7TH9Ky/Wv7O9OuNypostvYlGEFheye9QMXAPjQhUkjTAEfpRFkPDOGJxclqGFoCwJ1UK7ZG5/6xy5tOB1xmcy/UQUY7x/cRmuGlQthToMMm2O1GVeHkPRA9aiujFWqrCG6MGgbqitrWSReOFy29iWu6dKXtTyz/JLQDG+eeUGsjIDJ6w0P0T74S+dlXZGhPQsSqtO38/sTXCTC69mwTi72aE3Jq1DeonRcjBwFjEI8qRRyVPoBvb3eTcba+ydTodPeMNwl04v0HBp7lDBMjV8wrnpl6goWZ7b9WFdPPSNnADmjCRkyucUH8RkUHTAbPjOL7HTV2y0M7jCda7TF2rcH16+Db7vLDOCtGo7PTeAKi7BFQdOl+MhcCRY+QnHfA+iAd/DGL9A9F0Ze8mJUlGXoD1f3+xV799bX718/8/2P/jXP/6dP/7q/dtPv/rbb+7X+25s9qPULyPtm+oez69Tg8JMCeisfGKtahFYrKErWoRGI7wb2ZpEaNnsZlrTUlYgCfJa3NFuNK8ZztSjtbVd0/ZYdSu3ZD29OQNguOwpx1rXtTiXq5flnn8RbN+BFS/y3WpiYJpQezQNobt3m2PjTEFcGm3TuEUIXbRv3lYPZmZQ1Zf6y24RjfBSHxdW6949uvdNvPL+rtsFhgarXhbmAjlzYQF124a2vdILktrGceSMB1tltoKDmSXVTPtRsH24838K1T3L6TySwbpmWv1gUS/stYZqDbAXHnu9vfHXj/ub13l767etb797//VvvvvwoX7+s+snv5h//M9/l9//cD9qAbok9rWuJAoewB5cVT61Vch65GYSQ8jhJFej5gfWOfHIjapjlFNwAOVUqchE4FPX+4xaGTtoeVHBuJbyJIUreF/SInBluB809nZGTuT4XYffq7GmYvzRywaHAHsgLKdAeVLBo4TEeSLutEN9A7aVBp72IxUyREZhJj5NAmoB2R9VoBpHpaM6HoAd0kHnccm9h5WoLr4Wac6thJWPU0pZHZwEhAZsE9KubOasLY89DBemfL1YN9Ezt7CNVdGCgKpaFtnO2E5SwulLjJWDgt0UjIe7hTgNmyfjANZqeOrgOgeLtoazB6sKM0YWlh3O0QinoAAQ5p4KLzi4KZV1N3b0CLDkFKPl1D8bILFAllirFg8t5cId4JSx4rAHONS+c+jYVNrseuZ3cCqnebJRchNBnJDuStNlBj3qolTFBM8hRJbSMcgpUqXLBmunna0U25VCvl3A4oBtRWrR0P9MAwtc3T6UztyuPRTCi1ru6t0aDoaLBXNjjj6nw0AHiW0R6CrLURW2o4yVaWzkeDosf2tFFJPaCfmZFFfWSPpRgiskI1Y8ZEF5Q2b0AgV0MjtZq7jWVbWuQG0+mIY4Y07hYVIL2Z25842en9Lh7RQBJMvoNekGybVidpTag10ORaKsbirYsQojBYV3h+lfV+kl9/jK2PHGZUUWgbnch4iaVUw046mvywbJ0aM5Jq90lgeUzGJE37V8SUsCsWB43h09DxbKg7gaNc7+XVZxlmzTRjgkxTXHLEQVC9GpFkDEgycUQazhHQUihRwcsDp1irlaeyyZynchxbJHsgpI5IjYFJX5D8HKJZZWfvmoCZWnxw1qSzVWIecFuCGdOiCtG4N8qFzXbk2p7Joc4ZzF15aCDNoloFElmOyP+XEYMUJQ54c60CuMdobCIgclglgQmC6PRAiLE6rBWu8DG7FT0XJ5etKNs8XXHbJD9E0yteXLOQHI8tkiqYADR+I8D2Ua16tkcXnqEImnKO/HcXWOGZtMB1KbZYBvwdQdQhb5mAUChySMp7PkSlmGifGkAoyVPfsS70NyXSDklAXeyql0WT8Vn1TmHbnxyAg1yjdb5sUomotgXj5RiJ0cvhyi3K9gb3MsWlIL+lNmQI3nZEpjksdh5ZCiPswmt5QiJ/2cGbsClz+BhzBDhOXMGG0Blp0XPLOPIqY4RL3gxdylul6a9TJ6ua/H9/8If/nvfvcP/qvvf/v661/9l8+/+c+f316137QfG1I/RmcMSh1UoqXTaU28h1trDL4tifDy6OR5q49EoD7UWuASa/nWDaBh12zNHvXg/d5337u7xRm2uAdqdGu29vv07QNLPIh2RExXCKiAtUTr0squu0N2VebgFbqFrbo3ZnTfM0APJM3MjO6ZJIrDak7b40ZmL2aqyRH33vthyF7yjj5x+uYMR7vvre57Hvfcd3++78bCqsVaq2ZJa71jHg9N6+6+Bz7aPQo+F3WirBGkEa6aqRhlDzCLkTKzNNKoGgO1tA0VQLGo3xpKKxu0p8WN++77sd/vebzv7z6/vr3OO+qbb1+//e715XsvLz9//N5ffPUP//pn8+ETZi18uK4PG9uIH8qg6CzbZnqHYgUv9HSPLVaJYEnppjyQNV8qcZ0u2/U042NCVzzmk4wEhqcP5yFVBvDqGbRCDBxYroWFNqKVpFMY+07LnHAEj+Mqa1yQDOb8yHEflTrWpUulFCzMUpWJPisfqC98ru+K814gTLiYP8otgxtBw1IuMaQsqlZ+b4pHBZE9NSMODksLpQX2zLikQ408uDNGA/34FzOGbbAn1LugHBQslCvTIpvQRkvTMSw0i4+kkCCmJ81bvqGKZtlJuqIrgSUu0SkU4r86ZOy/3SCIdGZzdoh6UgpwpAknwOX3HwTJfL3UE1MwnhwBg0CGzXRCNwZn0x14wqlfd4IyU627tsGzyZOnFe0qtUpGeHwm/a5yVb9A3O5gcE6650Qje3K3iFItIiS4v42zgIE9/+1efgbh21Nekjhrg/pY2i2n9LINn//CSfpxgpKX1kVNwW5P8RmYcdkvjNiuERhJmbnnZCdS2wlCmJFajDW9y4ZojewOqBTidLcJI194PgXRKfmZEM8YSyGdbnRrKaXmVBcYgdMYdzhYOrUmDV0eqQ39B0ySKD4z0aWEb8vXDkuRXQeMWMtqhueshFevld2UJM+vuUqWRC1/bruRqPRcDpQ6xCssTM+tAuogF5Ge9aYgDNDlKQ/6Q0Oas2bWXNZ8IUAgxGpnKXPMhurGB72DQJfSFp2eDzpsUCodNWgrRJfOgno8fO57VKEwDJBCp6LU2cMUlNTAZIqcY6gDjw4+K1GkKvUp6XHQt/6KxOWdp8zvk1BELajG1sAQ+rL1UA2jqW5xYXF9icp1kBp4UyFz2Rhkf9kpJVfL1344o3I3HieulYs+R1H1xTnAXfZp++GYaMqzfeoUtN6gyHANKXiFlt/pmN6BDjNnfYBwttyr65xvQbz8WhnBnHOJWfjTanrZ9B6CYUlSc3p4ISHW35CciMDG0PhQJsR9L/iE6qC8lEyb4ZBniyjO8/u2LA1RLq2Oh8YhHHDwbfcNeU0nseds4OnlFOZR5ryUaKsDOfklAc/CKVxU+lYHmacWCTOaFtMFKeczjQeD/53KFwevgP+92yJ6RD9ULAJ2uWTOXhBNapvNGIXmIxvdh2+9u27fQIvP/W2TufwfBl0yVu4Ht1iHbBt72VFujoySO8JCVev9e3fd3/vj+aN/85Nf/NXX393ffPr7+7tf6fPr9K29p1kNolbP4ninUd6e/RGU4u5cEHZrVqH9C6HWYA1ri3MpijrvWANbF9TATKP3nt7aex7To4x2d++ZEapHPbPVPc4Io2aPunw42gb4eE4uEXUVvDm3LKWyIITdM2jU0qjnHt7TvhIawWt7bjW0OK0NA+UtxG3L425+WbdssAO085rfzlTNWipt1T14vffrfb/d+23vb98f396PR6NjPIB78Jh53e+furvZrupP07oRAS670rNWySN9A8S8bmTFh4Jsjab3aMtwcWtGK2vnq0ejucUddHkjzu733p/n8ak/P+63d+37+s03j7d9//hHL1/9ztsf/fOf1M/3Q58Xr1prX+0mzxIzXHE2o+Wnk4vDqlITBi+Ovv0MuihgQ58q+yjXTuXWTxHmfOmEct2M9UyKMwx4pApfUNZJHQ4Q4ybqCAMlFMqCDHhyXkFMfZWMW4hnFOOZMFxsoIa0oMj/2wWZgbiB4AXxTvyn1GP2CEjAtvGRyLZJTdarOyy1GGQwmhOnBSw7BbBsKuIemv1cE5LqBaZHxjpbxIxTBbK9jduXsAmtxEPNwNs55Gcgnytaz41Gd2moGa8hdEnDgEUyRk8wPj+QMLZXm0A7HEOVAG1732PTDQMw/oQmYhYAXF7q7q8Ze3c//YZG3ZQ4TlNH5ZXCzqIxnlAaaQ8CZGS9mMtGCOV9DhmWg/LgniqZ6KdjKgp5Sm9SI9MrIj3jnFZIQsQFDugekjmQt3uYWCPiFB7+w1u2Ua7MHhhHiQ1m/kLIZJnjGbeTGnUlB3nRYnWmiXm86k6+SUviuq1SBUwa+Dkti29MNMBXgRwOh7Ju0ritZWILMvTAWbJIhAZP0TYdJKK5ch1q/73k2qf2lXauzSzhlwKjTolVLnwzgg8idJ5DBrLcBrIBLcAXP3o6Ph64zh8je4TdNabSM7MXlsco/+SJK81H3ikOLAcpVGwO5ynwRYWrMnVnhzNjmjnM6dw5QudvDC8GS/BmZyecGNHGcmea8raz02VGCXXOPiI/AeDW34gMuDyv5KdbRWLC4vtBM2PjOJKog63zuZIu47J5KpojwWJWKMHwqYkk8RQxC2Kx+tysvN3xy3469ZQBalShstXzC/cWyb9buMGZI6hIOkCQV+bPD6uKIdEVwNgjkEpR6NFhMpSI45VVnYxiwyWzxDOzYGnqpLaeCabjGtAA+0FCynQWn3/Cpk4kDwsJxKG+QlH48NbpKFxrWkcxzSNhVVCSNZlyBc+TkQDu/GUfREzEaAJJL5/hwUtNB0RJtmhdYfQmly/IAbkjiE8UFJxhXWJ63uv8+YpkxydTxLQYzt59eHyrj6Qu/Hn9locZn6TQnO4ghSb9xvwZGrIQ7+A44pMGmDwYVGs8zJZmLDgVLAark8dEe7NZSwOVlswOxIHTjDGe/mnnE/FIgaLZS5lhGiEgDFho34jKnUKeGWmXpqXnWye46Cu2BECdl1be5UN4Ch100szPH1kmNU7Iyp4P1iJWO2VXrflY4stPH3/8r374R//bH83H98+/uh/fqt+1X+/9kFoUW232v11lpFv0OEVnEoPPPOX1lbqgy7YmdU1IfOLKpTYfLoDbbx7dLeme2TASzz21R/ee3o370T291V0q7dshzlNS3bmmgLYgLcdiTitLMRtDr/pOWQdgbtx325Bh39oNC3AQ7hH++XK1I3kAT1UjgdcQmjXC9nxCzx51s1venSf5n+vuvlv3PY9Hv97vb/d+34/Pcz82INzDe8/n9/3a+/HQdw/0aKZ4SVw+k8SoWlc3OFmsZAs/WCkKoadT2Wgzl1u3+whouRpzCMdFgbPARdjQiaYC7qnHvd/f9en9vvf9eH/0W3/6/Pq973/v40/5g1/ef/DXv+gavfFlr7pcrzuuWflTaxVArOK6nB0RG6sC2L/1qfFkm8MXPxFBPYsUEougO9oUDQr67/mBHq05mkBhsCJxPIG/BDIOBCbwcBKFZ8OtEkxsTgV6SkRpRpZfOqHG0SMO654D05kWA+J/2s64eeoAxKalBSrsniGVJWeUS9gecU1mn/TUkYKFtQzIOxidItAi5j4WeL7pcYROAe/v5OLT9LkF6hQ2gK5T8MR9iD41B3F3ZmKtMhdWWxNRQ9SMni4f25jj4Nykyh7eUoUmiEgi7UEE/zUAVxiWEVFVZeh85GmN5FrUlOXYRzqDnb9uVDkTWe5JmJyGBFe2cFiLHFfDWRaykKBVYH5mmCohQgzD59kMAE+EOpubI1qMV6LPf9XKw6tUHbKBDhAcGPITIriM1+pZs407V2M94UYPKSTOOZrAMkpeMbhWpSu0fixj8jM8FydJOf5wrmCSoRbHpiP19MJx22kc3JIS+CH1+HnGpR2QrQUHE6K6QpOZDA/TkFajI6FPgaAv/hYK/HYSsASs2KtbLQdisE6rhGIVQc3YVxtjzMk9xISyh8EfyO13nOANmGQSR9ZeZCTVYASQc4VonSFeBZPWLhAyWuM9R5Pwl3r5iVk690817J2ZakjeTZVuQrboqZPwCxJHfUbDvFas5O1iCNOZtc8zwf0lmnh1xDiPlrEN8WNJHV4wqEs86cljDvr0afYFNggAhHTxJXWk02n83FWQfMJjaKkOGRfO68kvyRlnndrP55tpRU8VGmAkXcDp+c2ROjY6vadDXIZCTik6LGjaH4iyfsopoCgWsJ5geFmfVwerTfcHPUcGPI5MV3RPUJhnd7wdgejYI5fCRmcm8dSPAjCG7sbH0x8QG8FmCfdrYx7KCpyAOofX7hiCAhKxLIQah7/GiNMmC1gF1Jrj6+vJCMNgVQg+RRAsxdpp5EI4zOxkch+yj2wCid86D7yfMJJYiHODPZ5lANOHfkKFWJtroAHCTNEtplvJeWJJRwYZsDqBmYERKo82ec/9bjz1aRKcHn+P1xVIaKFq4jZx+LJkSx0MZlmMP8S4a28aJEvvgaMHshubLE71rhxvE5cilznjiVJ6QUUjZJ7yfCmEeYyi7JywhM4zMawNpP20NMCf3+HKgzTuZWbIQFeuOdyziNXU1EqKJD5UL/zw9U/++Y//5F//Ln70/t23n/c3vF/786dPj3see4pretgLg71b217XNBI1qGmmzrA3i4V88F1Ua7MW2HHVnRXieJUKQy2Pi3lEIaynMLP33DON7t6+iLekjmhk3z01LbRH3prT01KzZ2SHfQV5jF8DCosl0EqgIrawZ2/pFnZzJNvkttveGfYabx7DtARwNLvVmRzcJhIJKFwE757mDWhP9+7dPVt3XuDcM58f9zdv+PT2+Hw/Xu/H53l8ar7u+23vT/f+zXu/vt0zD2/2IkD2sDxZCC42CaTdhhhTkMcM0pAHdl8Si8sTcNOYrRGm29j3ZMhsz7ApUY3pRu95vPet6x28P+/3t8dbz+fG2z2P/f6DH/LjT17/5K9+8oNffK/vsF3igoc9qsHA5N7pZHW0p2yWey8HTHfuinsBBZBnsRGECqbKqkUIA85MRx7qhPMU+jmfuGSQyjF4kH5XMg6vBFY30IemOfPFB1V2rafxVJnLYbCuVIxCGmxBqKfy1bkop57PvALGQ3wILPsUuW9pVS3MbKTdSHoEqHZBhUxPuL4DpdlHGONlkBzTm3ZCbgBfGqgTHa0MP31RjUrZ0YhVTlhtMazsU4bYFywQEx8Vl+sA6FvFPhOcISHpWqDKCl3LTISWx/aO7DWgiH/Sef3CUulkYNfNsrQ2cgyzP2fYbHHs+SqE5zmUMga0W7Xvh4uU9BEWO6GijD9PG8Ff9eSUIdOHJsLL9WsWrxoFDJ4f1L9YusRzqGn+2DGfSbCZx7QG2s5+fuQaK1diI2uAi7CxMg3U+WvMCM1StteigFKJFI1x5+a4m3AWxSonMgR3MlZkjMogWa3iikTOdxLDOKsApTUnp/i45SnlVzFTK/BrEmfNF9WKbJNTzKiyoYfSuND3ZTpsEYOQFQhhpW3nVBg9/wHF0MhOG0nfAHqAcghSdkzp2OxVyBJBy3s+XJ1AqDIwK4nlSTEfNHcx5WrlCb+aDJxouklfGesqnZ7lMYz8DkeoTJr6OrI8pJ6me1L2iqlLM2Sq7KlyfTtSoeqIIU1NpMeVF7bSmPQIXxrIA1rgCyJAYtXMPAdJAGP1ieRiJpiILjzZTQIOMEcZifPSkLsrN9e0ytfND9OT+BGySksZbE7rh1Jkh3reV0O+R9tj77Twm1gL4X7TVhaqypMAavcS9rlbi4rVEIpPdzI375hTRWJMFgdO8OGeUedxFeg5xZaYct/XMmfqzPsxuyLn3A8xo+BJBEAyQx4b5mxlNkACUd0Uz0ySwgXjSAPLzzrLGnNzdCp0KI5MkI7gSHKTaPaaIw+DlUMS3UV6YmmBdYQmE+1NQ6sqnRGWzQWRSY7QbJPGCMENHFldu68TJ3BkySajXKdjEGXtgC3Py2SkIAXOwbkzrlKFqSB4J0ozmqjj5jqRWvlXT4h3RY7sGIUIh4OCSb+NWlA4Io9oQI2cGahkOlRz6AZWpvKvxj0TfYTN1WLyYHkYVIJtAszhLhHMQwaZ/JqIIqAvhwcHkeF4XhYhzKGQIlxSlee2HBBWZXALwZAFviTFLawPxZpZ9aN/Mf/o3/3Djz/s18/f7le9vt3f/Oq7t+/e9b441QPgBeI0yR6p1QEtWlW29fY3xiGkADJ8YjFTkIu047mKRfu3lfsqOnDJsPc9ffc0embm7iCjS4Nqx1qixW43ADPq2Xta0+hdG+yF7SwuZXtwOii3qF3k3SDt1aMHYMV/n155WiX7A0xTssbP+0aQ2SA12W2Rmrv0CaddI2C6OerWGqhnakZburcePZ/u/u69v3vrz/t+7fl897eP/c2n/fbp/XPfu1VamJpYzqvL9kZWAnotYfAVAKPVvIvRmtjJJEl7PGQzxuJ0VFWBwG3Qshkvf7Bmza73u/djduv9fR5vfLv1eOv317evvvfh44/409+9fu/Pvj8f3nbVwlVLEC4uY7ADe7oI5NQw/nmeEJsAbJkBIDy5bta3UpOxQCzPGk1C27iWiZ/GEXlkpDNUoH+YY0dZIEZLBVzVlvM3F6BBdFFE7NM9a2aRaWl1yCIYTmKgcWNjpzkoJHdopeQQz9jPs1FzZpuIyY8wb4BamNFMg8+UPPTYon0s0mYHJViGz/xLjaXVlzrDdUwwgSDthS+Yn0Gd8/GFRhzjXKX5O51637IyaSnYncERDtRtpd0CF4kXZwNT8i7UJ0+7yKjR4fNggXwGnjhQW1wgcIbH1cAPbEleceXHGOpV8sW01RKB0Yyd9cIqZGyNMWtyZo/sL2DLPEt/HDGOX6ndbAaCxrwb0n3hbLtRZW7AiJX77g0MsAYnsRAS+7QW1iaA3i8sHErBhRqDfHHJ+8BHHlw11DZZvCMcvcKzk4UDXBcXNCUJVWItD4U5+xqEj0kuXN46eS/Yty1VA+J0VzhWNaNpMzdy4kubF8YdA+dWM/OaJPpzOfLqTxMjBdXPYJDvJUlPDQ/UkNe1Wqh8SiW5kJpU9jxvMpIYq4xcxhqjNgWuqZ3yg3JtErDXWRrBAHSAVpcNpYlHxThGGDzLK6nUcxpfNuaAut9eqcRYrjMLy4CE07DV7pkDIhGVMViLY0Nd444ONkspZlRGmAx+yQ5QWFhQoUYaTvSNGEdXHlmJKoXoqvPJUTGNHMORHr6Tp7BCILhtoS3B3L/HsTgfzrC627j4Yxl+Yg/GlIrlWSClEVvYDoUyhxkNSapiX2NjtTzrEKjMwlrTAo3KauenYmnOasgvygvokg60sqoP5o5DLlVQ+hFwuUSQ4BU/bvq0rDYL5Oww0AoGgkTcSP0o2KlpPOTpAtWTV4ELlPLWPF/OjqxprzjAqii11mSom0UsA+55kwOO/SONQLjcjVjpRkvsYtXCyKNbFFSl1qBjJD0wAqF2iDG+0DZPI9NOgmOp3Jiaw2+nwPxghtvNg6jJxLpbZLhHTgNXftuF6JXA8DMOgOgFUbDiVTNS5yV5vEEnkQFy8pTSRRDDeRISxtPiHyAzr47xbXegQpZB000Mkh1xMjXHFOuEFQlzm5dO2qhSGfF2i2Oux8RfYMo6KMGIQlPwOBW+IJg8GFpQHH8OV3c8p1rSk6yrsJjL9g0y98UDxpj9pV31RA52ekD3nmuNs4v78dYDrz//5Q//7N9++PkfX/36mF/vT9/dv/n7T2+f1LdXfgqw9w7UY+OfRAyWaMGMfBZ11NIBv87ydmTpAiXNGsY9hcFTA2m4++Roa9CN/XCqw+67Z/aMGiW4jG7NNHX3DO49254k6LbfXmNmpnsH4MiUt/UBFloWoZsC9tz3++6NoaE761OqhdHeSnQi4BWIeSeQli8gZk7NP1tNWwk1FrFgQ2/vHuwqoYH3Pa/3/vR2f/e4v/l8f3u/fWp9835/8/r67Xs/9lAY5luu8WAZNYFPh1ujwo73rxUCtaYcfXykBHuNRfeDrTUzPRiNZjDa9PKSaqiBnunBZvWGGnrXY+N14/FQP/b93u+fet/7Rz/6+IPf4S//6U+u33t/zKeP90cdj/el4iw6VnuAlPbRjZS7O/mYwd3PvY5yGBRkEtN6dN+VTj76LYWHle5YsbR06A+vbTiK5BGKRl7gaiA8r9fTWXniDOd6or5Emjmin6gOg3zNXnxKLd15hIM7TGT4mclXNLDM1WCyjFLMOv5UHBk8lZC8UJGpnKrdJvSko1/u2dDOy5XwhA6kIo/dWERBMxwhKoFxK0U7wxw7QPftCCRRHQ41eVAFcI+6Z4Ztds11n+VIaL8xNlhpAf2W0ljI6zbtRxQ+zXATIPeGfvi0+QxIY/3BaPLMLcS1DKEsuvWCPMjOfEeJ5ccDeJmwE5Dlm1yK7wiB0opuwl8FEzg8sctRjYK3HByfBYN2B073ITApkkPs4t5RTZMBFstDNQzo5F+UXXXKfCWLHRTNciTzgLYwi6LaH69AahmjYDljNZ3MGGfFAP0uEujoRdSyEs2Q2JNK9lmwUZUEdw1IMqIrJ0/2gsFSLQVaLDcgh3VBnV4UBTRc8bOfrxzGql2nVR0XOwXKk1wlQp5bzkweUkGbdENzZqLW6JlyI2Dgc5F88Zu5/L2PujYDtM5HBR6DDstbRhk8t7pquS2VzLONn0g5wlnCaLjDgiJN/DWpIc4djDsVTxkRz1pvZzOivNjnidj3m8reRAGj9huZnpTcy4pWpUdlBw4qN/2T0FKS5oUszumKaQUFVcs7HwjzyJYWWKgI/9hBFla65qc9mzHd5cvGdbigrMKaBmatIB/xiCmgLD730glBixE/RCjhksgd6zl0S1guFFwve2GLk8Ic4NZRmbVIS6nbMO4hXmaCAQVuXasIoLMY2xxmJw05RxBcXUZeKLk1cqQWYXshStb2VQJvxS7gkGRmRN11TJ45BLprPSQlohyd4EhVCOlSUBuCnPG0mEkBNw2uQarj7HHQeOb5ANJ0FjFDoi4BC/KKVvf00+6vpDSoCoEkTRvZcK/uzsE1KB0pc8m/mHJUqLV0O6zjGGPToQNVT8TzHqdgoCZZQgo/4TyQ6OxGpeOd59TJI8738x5ZVWYQp9hjriqF55xp0LNQkpWkgvNlqudQAYkCJvaf1h0uHr1BYORYxZLBa0IyBHXqgTpgxCQRKWcznysjX95JQ/qcBqs5bPbJKlMETV/Tcj9ygSpl04kRl7HCi9HU+yuMjOxpqOXi4aJQN7lmCqPv/fTlz//VH/z8v/3xY/3q/vTp7Vf9+s3b63f77bXZJWFaPbC//6BRLC2xpDWNDAbafKOeYknBGI6dQ4prxKqhtECMFi4vQoa1gtg+KgUQjTVTVipwo8cWQOg9keMjHvsc3Oqt3eDY9WFDmB0DVA5Iau9Alp34KqhHg1VTs6V9r2kTnGsYJqJKggqLoGavwox6JldmnhgGj4OTR9Y4bKAakNTdkOxaMtRgRrM4M4/e92Pvz6+PT2/v33365ptvPn/z9vj02O/vG93jaokrU/OnXNSwegwp3WmGgbW+6HPtlNBBNGds8bAIYtrg3KjGyulBJNiRrRRkTBN6136f93vuvl/ncT/223687v36ur/6+LF+0D/65Vc/+sOvVJA+kGaa7JggLNdFNRYa1YHnJ5NOT7w+ccc99RlOdOAO8HhYYVdOFLmTXpFwhVN16GB8mTCaIAWmSrLA2dfbIAw4sIEhi6h4Q+/JtKff5nNwB0EYzBEIcnLw5hKYsw/sGdDQSfd0JoL1rgdRx5nw3qOB6tgNu7N3yRHZl7OcdyafutVe/Qwr68oVmBVi3Xewylx1HSt8P2vjFBRlbyCPPOdFbS7GQtWCX22C0syoW75cPBtwT9xKLVJPMCBNCKZmOEc0pYE2BF2VOVvCEEYBVbVVAVWk2a73n293JhUqT1Ukl6MJCQ6D5UFqRHyL8ZM26G94cUCLTPzAM9sjuiZJJiKFqlhQAPmRrsj9AQTRI98pT4ikJDr1x9QDE+lsmqWMjpzUUBnm85nMpWY86541tGEW75BUetsgps87UgW71gHeH+Bmh6SmLIMUMyrtyCH/gSevfqRRrFjBW5ZCQfFttVxYo6OuPRCI7b5PW6d0M27rTQ3bn2D6C0IBQ0imqVBUVAYirAs9pwhMzxrSnit9Yy5ZLXsNI8WqgBgPl/+SZSDx1LoOFsCjkQn4PkNyzbONh5fb1lmWAj1XqYKR2hQ1g0h6ANMibVgGzx2qWOXZCaZGsxRIEXvBBQTt22a9A4E6akV0XZfPl8FrzXDBoON4rQGCBUuedjiD6FJdk66KadYxPkuA6NXAXxpBzpryoPGg8DTztxkM0ygsfwrnH7vCjjUfbBDuEXVoOoaBcuOYH0emLZbil+ZG2Cti/dHMABkOmRPqcAbKeCpRGQkomC2umfEsQDucGBpYLL4UB1qDa0HRbZwGxwBvjkNNSy9Ep14zQru8ZkMInUk3t+mYpOc8KtdUZx9Dlq0T1bwzvgWpbIWjFQTJKIaRkgFvjDdTjg0IJCYuTAHHjpYysLy0TCHR/s2rWqq4gx6a4DQOGScviG73FMWoH3LruQwdebxi8SL30w4LyG3P62RWlILeOW8WfyZ2H2UbOqxUh4b2HaomE0yEZqoiEbUzZhxlLWAxsqOMysxxPF0eKchgaoseehkYthoBuMWLLsUwuLhAr0tyaAi7sQKx+ctlE4MQbQAvTeTe4IIaXOKGoeyS1Yl54Epr6oY/ofYZioK3AKDOOHcwveAy8Qsk2Jwavy5OWX6WR2AceygayYyTNZvF3lUv0LS7brCkKT2qv6evrv5AVf10//Lf/vDH/5fvfvD5w6++ffz69fHNp/t+1e775rwD2iA1zb1HVdwNL5+bdmdGy8g8BqjBfrFsHZyw/wSoTSymtyPXSDdxFdpQxuBaY5le2WCpzHpAGE30Y4VyXGqhtcumhiiqRm1yicKaauutDT/P4stQJehyJ9jihZLq7kvc9xanLlQPWEYm4WktlM3UZ2qItXxjixTBnqAn9ksHsEgOsChMeSKwavzaURpYyD+QtKb43ujS/db1gd336+Z37/eMpl+Em1ylZq1B62X6hqhGe1cFbq5BQ5wZP+xBVXGwMfNip3dQ3OCFfqyKL76hUl2QulN+jwbtk4nmVeK91I3vdfXbmkv9MnN/uN/Ql7bef/KDr/H7+/f/6se/+p/+E//zu2chPO64ChbT7HmQl8cAtmv31ZJtAsdVE6aqRmCVrVQoqZEIIcLSfMZczZgkUp1l3O0IPTFeHK4U144ZuWjEk2FyjYXKpiCjKZ5JKuAEQow96aXu3LGpyAxYcB3jAiRIveB36zHSLxJbGUBZ1n4QGKGgammBpSoCY6eJ5IEpClx1BXRB0CanuSXiwHzwYItBIu9ud4h3SGv5MLoqpEQRy9uCjJsuU2+XBxkFzBpiYbWRUadj4yN+bDJZ3hWsKaYcFKCspR0sx+KJaIWHVTFXSc/FetAeMcws933BUaJTVYmTjihGZmvqhpFTD1XtI0lw/uuD6xA2RnQg0qmAAKhXAKu8PIPGFTcP00kSOTMVRDl9mM8F4Dfagf0hlJWPHLMtR6JmE8/Mo6rJGtVIhkuNqs/zfUbLFVyKlCb3Kh9pMr8/li+7tfUS+/FgYKoSjRcH8yzndH1sfarjheEqiYXDTFsN5r8+xYw7OJIBgOYMv7nYYmB1gNyWvukUeGnvXfoG6CoUzPWoUnph+TkGhrQ384qvcVnIY7fsoTiG5fzb3SyMWN1DLoPRM1x8IaVr28MN8DNgCTU6QnoAUROaHsCTgExF6FyOYGzk4Qk8quQAcQBPF2cG3s7/QFguvrA4YSRNvrjCJwDNUqfHtT61xno4DcALkylG6gzoMs3WlqKpRvpJ0Ht7KdVzzKTcpWaUxCHJlEFKVvzWrKArONezOuompBUkajLYm+Ue/jsu0PM8Vy2i0N3H/B5hEQyauP51fzzeVbOeExLpHoPBCG0FCpYChUYvaBrnKRg8rJdKZ+a3ioW1oty+wFqrjLoSgFN5FGsHPBOffT49YG2awRIu+xRO1pfnZRLeigZInp05iJbQVV8scADjLCXSw7+SlvWPgpyE/V+iIX2pgje+2ETAkI+bXP8x6w/szRbxjQZh/M+ou0MDuTzU3FDIAtPRfloWefrZyVV3hCXCAf7ZspkwfNDHeRamCGT4gAWxHPX4LKPl0XyD3Yx1nA42lyk2jlAYk4UjX0Y9R2IDVyWLuATWyIKGUJfBE3Wa34MvNZb7mecY7ujgkqZ4kPYPFh+Nb53IiScYNK5M8j5bLpae21EM2aXEOIFUPn5HiWCcWMBQZyrHQ06OIZn0tdFHiqFx9+eXQRgEixdh1UUgIgivCCOKWtovHm9i2iKWsc6Plz6sF/+J15/86c/+8m/+Qh/efv33759//fbdr94eG++v+36bucGNaeybdw/hLXxlckVY9LbL8uEFWcSqiojBTanPGGjYf3tbS5Ywwot7xBibLgP20wWlFKW+jNiI09I0Ht0NDWoGW7MHE5xLUUd6cKcKRK2p1deUJWkjSBrJ/pd+D2utl1UAsKqWPUPd4C4W94xcoxVjPSr1ZJVGIwvLLB3RNI7Yle4HYYTmZAtf36Goma3p997vuz+9P94e9+vr4963ZniJWKPZTidXzTaTyAWWx6UNtAPiyuhFCeCgxea0+Q8vux5jgJ5pwFRlMSEjsxe1CstfheouE+7Yez/uvj/P61vP3dN43Hw81qB/9NPrT/78Fz//gx9/xlt9XC/ulhct02q5f24LQV5Yi0KthaRij8+kYnD0VLRgLgIxHjrkdKxFvpif4MnfGxSYtALwACPlSKVTBx46zbuo3ToP9fQIOkKeCDZYVsMOrD+whi46IRMHRgbgABkdL4MxGQSCZYOmCte4TSSmcJU1OeUNN8+SDwV2Z5qRUqlH3lzZ9MpJgpoetEdVEkE6NIZlMSNJeO7b8/AHyvFrA5JvKW3biHwL1jqKLEuubOnXmrbpl3p0zzyEocZLB2wtKquwwUQ3EXHhXR6SCk3wpbpMeezBUdcoJasai+Fc/NFUE9YDi8ZXJqiyZrbrLwcRq0Dp+viJyuGIUvK0IFeCftt9VkiDyGWBgeliCG4MnKbHw2hFsUROk4EmxsOSCcAirGhxGdpQJmT9OzO3ZejAsa1ccutZmZnRsZrTAlQrOFOyHf2ra0hfF1WWgR7LF4tnfE49FhETSUuWku58RQpVlpSHqPAfSJWQ4sNuSebzUzcHFgcAj2cB0byQX1QNEXGP0wIAizkQUrNT0/m3KezBKQwktbRnFHNL8WnKAzcR4iKuk3g/XKhlxy/vmYThp5LlUqwxy2S1BnXwN894SErVODaWtCzFc78liTvSPGCP/27xzCH48I91LcrwO+RZOe+6KIQWR8VYmMt9BrCmC7rgT0VfXntDzsYI3dBCLICoM9hF807Mk7NvUvwA/JgdHPFst+GZNTBjVhjzAoC8hCJzC3gyjIEuRGS2Vf6fAeGF33aR6p4Baq3lgRKmFTyojv9eJNoVUw4AhLz7MMND8kg4scIGU75DJvCUiJwaLzJ11+DHW5DEspZ8Fmvamc+RoLVcjsGqlADTA6Awdi2jH6oD0MCSQh3cVSd75I5YnWnA0gOhODNBoqv6WsZzuARXyTo6IQHMjhxr1GcCkowuJMp1oGZ6lD7lqqhSzPLN9auvUjWGXUdDN4NltOjcXYSTND/OeC2Z/TPO7WH+soP8pN5XxcQ5fDtMCXtwimMD1cEZ3XZGYZzPnCw9wAiIFvDRS5qK8h66gHTw/jJh3EAEm4tqSZkO9pGhGzkdG4U05T5ZXlXqDvSkbsCAtL+EVVesmJOYHXL5YCWvpzsR2gViTdAD2/mc+kQ4uuEJpHH+gvOR1fCMNo60t59ns43ciJaVCeFfoweTYIsAgkZC1czCrTiRhtLmin+xQKxyNq6XxYI+NrjX7u/m5/ef/Kvf/ep3Xt/evrk/1Te/fn2/+fbd/vRJ/aaHcG/co76ZOqLLtrm0QEuA92GfRT3uTtVKz1HHESh8as6+OZl1PDVdJnqMqbCbM7Xc1PVAM90InccZjJfuMqYuImarYaf7tk5StgoUegwpLg040PY+Ie7efW8+iJ0ertZVNlrl8OV6KXeMTshTyKooUuwjLSCYAfDGzPLH0kz3qOVFZiI0tV2STYauFi3LvzZHgw2OeKN6hnVxBZUrXmWTd1cZpCUi9tKi700ByqI1DyHLcudC7D98YJznKKyNp5+Jw3DGYjQzTz0stbu0Oe+7d9+3tB+8773tavT2aN4fPz5++eff/4O/+MHrj17Xvacay06HpdJVc9VaeYJxgMM8F/74XtQYhiIMLY/5bX+/ck7oylSvR0RNc54WizEagIsijKx5oYFfqxt1IgrThAMep7Sa3PCHnlgeURHzFBIeM+eDsNkAbDgxsNjdrb8I2IzWn8BlKox3BLyxBXnhQAQUysP7ACfJzjrX2RNCeZo9tmxD+2F6H8Voj+7uYfNk1wHNTTQKY8/FIEa2t2fbef9ZknY4lD51mNrZvA6Oa7PS3dpN13gAywhUzFeV93KipnX57qxq3KaHnKhn1ciBJ54FBQKIcAKZ0y0vVR1NdBlQg+TMZMZOJ5jblwjt1MYkL7+26ei7kXIG9tzjWsqHpqTxmjoCHvxvRN4zPI29Ml7lDiEJsCzyTeCG2yhQLXAW6hBZYaVcds8T8XHVEGgwYD2hIhVRjoJQ+uz6qxgbkee407OkfBuKxdZ4BSiNLbsWPA8gU5oHruTUVPQS0QwYdG6XaSyeGUml3EUsTwZuueKu4fyAwN+5fKlSxcjfDHKiFumhakke3/E19Z8/XjceKIz3JIGz/qmE4lUXADRzM6QahWXz/fzSc9JBOroC5HLrIozKOjQoBYElPu7G5PBLcJZ7NhKL3v8UPHyy0tt0sPcuZL8AIu7nglR2HT2rcOSpoJqqWQVoh6wI9j4tFrTyEtK8dhxqIqMmzl6vzISml5ovLTDJ6BQMfETFhqcttMBhXeli6dLaxwpwxkmEQfBea9wktXHSdh1Wft9pCZQPKZ0PMjBmdnxCjseA662QL7Z+CR0G2yiJwpmmQRSKjMyrCF7Iv9OYaeKwVgF81mtGH5fWsalwQeU5H5elqUqO4j9hyxewjqlJkCg36lyHSnbXidMWMjDojGK+65TINEHFtVo0nEL69z5JJcF0TAukZyec69JHDV0onK/hGeIhWD1j2Xv8j2gpQuRH5jbOizTcH6QVYEMLrqnLT3+e5yF7chiQ1OG3MjhWLDF4CUMeBrkMGiPP8gwQ1XokjfYI6pGn0ZERu1BGOYh4IjUJpRyXZ6kORrm+xmiU/eyQ8hvpNoRPwG2WEbgL4Ti7jLocv2cS4WULmQOZjNekrD0fps4h1dLpOxJmjYHoFAmRahoUe1aTk22odWI0S1zDBcWdzJ/+dGnxJQl+BmI9GYB0x1DpslmWtcOF/vC2Xl6gr9/W9Q//5me//y+++rZ/9fbt9etfPfYb+nW/ffvYD92DfpvtnVqkBm084FhcNTIhggGveASkgiLq6f8LVOmqOdCr992EEYYZ3S2hLNqPktLmcequuTt1YxdmTN8qJaMg4u6RuC2ECUD71CBdOXGaUWMEtDpDjyh1B/dAcZGLxKVaQw0rKvKlYtXsZUC4GTEl7T1i8poz2FBxapzQKjdNYnsrFxvmGaDBsErY3DU9tdkb2hOTCQdOoT0ZkcGVGoha4tS1VvBjwJNo7pUdnshimBhSceR3K8mSR/aoLwa5q+bwgqqgtdKYReh73h9zP/pxz+c3pW8o3a/vu/Sj3/nwh/+bH3/9h2+PN1zzwvEeRk+q11SMVKxkdMi41rOu9Plf8wT2ltUSwIEMxlMtpuLDFJ0/UmgGroWZRqjcdKJSxCNuX9b4uyZPjW+es72ugDI3uBKZgx6XMTVn7pJzvWNNMAijyaAMKPZBtA68HWLQoS/vBjUzHvHL4eyRiUwWFG2NL1TpjFAI02SouPGebG0Rs7ReJDRqO3oOluvNwZZAtqgueRCamKUJdVspAd0qVsDaHkC6we2Xsbl7bmirunV3WwbQfhTLKFr7HUsSrjqTxZJUYpS8iOvz+VcIV62qjEt8caGQF5u4DnX+MJbOZB3GbDVsYSAqnon4KDtxIHabACxZMVMw5+QPU0m3hZi4wY8vcvm8xBQFwZS9ferpPndg7vOynWuUQkfuydy+2+bSv6kOZZB+PGN0kJxLyADnvj7GAjy968c9rJF9O2NskzRDyP6ItvPBinTLWdVVPI4fvkt9Tq5IOc+dMs+XxgOD7kPOl4TnwL2gl+dJugNkdoT56jBEuydOAlkR0iTsV26Mm0vZXjND0Z14Ibs3g6qatM4rIpPFocnxkPtwu12LdSar3XRDq07NIk9XjSOKP+cysOi86VhYwhrzkcV0u+5vpZYxFJe5S+FQxkuLtSb8iX93UhRhXJZnipVaQ6jabYgjiCU2MEF3eaQh02AepDfQ6OEXFztOSN0ClWeco2MBoofqrR0bPd9mkE2bTJT8S04n0TmMgqceAHkCT3FYNfxKoNbk9MBuS1NBTccFZZ6eOyMARCujUAAy8h4oATGSHl/pcIY8XivujYe0e5/vVGhWFnD5nryowGV/+sgUc5mSRtyE2MQlSyfcwTCRm1aIUwRXIQsngiIgId/AHoVRK/jdkTz62ZaV0qViXFSQ2x4JXfi4FNZc+K0JB9WMh4Mn8zqhagsW0Bqu6ODZYK1oJFkTyLBWmAnPvZSd9wOgOQ4nDhIYjxJGepjn7w96grLhED/UZGYzoWmWqmivqcUnYOfahg7T5MGOcCZ+WEagXDMbt3K/Q3FbCpWJu8mCch1KWHm9SS4jjDfdgSTL/XY+uR8g4nRBc0ozp4dRIebuA6MZkLQK7bYrkdeNZhREMln0VBJ7JsXW5pKt/ZhvG8jp3HLxMDOkXZcva/mkEunh8vaIdyYSTj3F8Y51lUepSkM7upiT77WguqDiBupa6qW3ff/s97/3V//mH+kXv/70/s36Dfe+941P3/Xb1vtj7odmi1vVLnF5/IpiGG0lX15087c8fkC7FMJANMpeeEJ0hjaj4GqyabsrnuFJhE6ZOsjErBJQw0LPpixToLA1DalhCK/WgMtrMk6nyEEP0KztZsu7nfnUKNgA76b7cxTXy2LVZYn/XmQXBxh1oTFWcXPobcRo8piyITvdWeqXs1kRPRsczozQG/vuLYPGRijKIopePbhNa6xAGUVjmaOZDKaVcidsWEAgVDZm7EDXBccNiCUDj1JrVFxTlGZd5v+rfJLoTwNW8SLd2BTV7I0ecWoD7xu7te95fO63d7wP3x/qt77Uf/KXv/PH//JDzce7bxQfu7d6RirbWq6o7oghRW7Fjmm+RDvEqtwBvsBlotWzDjZHW84y5i502uczM8UzcIhEsbHXwfIPAZwWsOh1uhHdseaUrRTOSMrBOyp6Z0N4J5gnYDiD+EYbuwJRHrmOUgXWQiaTJOpJ0GWDBwLy+nbEfmca02tpQd58dgKeY5i1Z6oeSZpBW0bWs4fa6snIzN1zVgMVpKKl72RhpNJwOJbXgs/VscoihKIHV7yXu7mFx2Dv2duCjNB/me9z+cCMVtvX1ysDYdB3smLzQE9BtwhEM+euXXHHCHRBAuNpu+RHqD2bLGk4LUBdYYKmTum2GMX0HHbII8WOC5WWIMQ36EzHgC5HJJ82FIdC8H9tZbraQw5zcNMjdAjznN9w1PinPQ2ipy5ycUqeJbFwxDCyyxNl9WSGLhfJCOLGZZeI42hB8MmVreSFCp4X8PFJuRczRmcYPbPAqSLTR/OUAwasLMSu7Lhyu4YKkhyS/GBrSKOcnrf9b5mWQxbQECiqKuaUA++MGHc0k+xWhIp9kNBllhtatnA3crtCihgCs4s/4RWNA3h8hb8VHNxBQDXJ7+Xy6TifQEQfCcecquVA6Z4tR0gY6w9xAAYF7QRAXiRPkEJq/dQeNlioGIIIGHdt5f8AVqHWFeSiIhMoGwusMHwpxRwzx9/CJarBjYksvRwzEScSg2Y8FIXnx+P844KWi2xn4cNNBXPVQZfASheNKPDDsUIQh1xmUqJQ4uF/3HLFZ8zwuOmVI2Izgjqnx3AvC+VRnpwe6DxWR4ZhmP9naVDbM6Wo8mT4KlMnBkzPgNd4smhGGVRMP5I5j1grnGrx9IqOAw5tmQtQeq5IJnEWEpOj8nYwdxwzuXX+0/Bfn2WYvU6BBMjlz84Dnp7kGLfsFjO7DHMgcuBZkbnTjPSx00ofMzmsI1fDPrVWByZsuTF7zutYBRq1KzjxkXS0d4BjmsGQOQiLzWCMR7s5ATBQpuwKMghOxTT/8PquTIJuuHeteP7RFnYeDDpdrQK0EGYUy4w5yxJjYEbOUyM44vpmTqs4jaeluzv/9IeIIOr0oMS4UclPh4TKTJ+rAB+6NIxu3Q98CD7ZYgnwLqCofbIyxxuOMH7yhLfbO+djkj1Op0QVPGJHIprbgymgxCXWheWSrlgYS9gvUlX7o9iPj//pn/yb3/+9X378zX/89dvn+fzar2/zzbfv9+vsN83duwVV75rNvSFxXK541xYGvEx3LIhxhCC0fH9GMg0yZlwSBa1S9cNqprPSFCqRZfn2E4JsXrNuVasLGC3PZlgcTaZfnOZz45evKrJ51i0E1AbiTFR7vQ56gG0NyNIh6apm2UusrMeqqxhXSUS0ygH69HjWXhV7QaV5LhJQd3c3C4vA3JLGrj6CHS28iEWjuQc9Ai9nlVq4aM7k8uycwjQALK4qrilUWReJKhG1PGCwWKvKNnf5hAOwOHfKASpNNjw/YEsh4ypuqBvs1va5hG7M433ue/bW3fO2H2+Pxw1WrdfXx6Pn5793/fH/7uMPfvbDt/e3El9e6sWDQsLiKkymMIGycaKVxCkzxlfNR3y+fFu7d+HpVqI48ma3VdJlxDKgpubLNAFBt0EjHEd6QTEGlk0HgsHolGdPRMdzlO7pQjGsBGtYXaZUPo6EBayyB7R1ASTAVUkPGi6mmg+1U/Ok1yvQSUAEnufS4Gxh0q2OoMbEBchgCJsilw9H2EUPQZtilqKiOlhxYTS+SnFg29PmsVoBWnpGeyyum4bawYDbHaDa58kTtUaLoMk2T+doezCw8GzVnJjs/JRxtujWWbwUzO7yoHKwwXHEW67tHGebYPVoTzU4wFZgq+3a2N1//DRVQNfWTHDoOaKilWQU1P1L1cvBUejDNbRpGNdUAnhc7lLKuAo8ZoNIIRyX6Wc57XxkhDX5ww+g5Bzg+njOMDWOq8CCJE0zTtu0/oEySL+4kmwOfJL/4xDzrk9Ai6GOhtFfABmnkWfbY0tl9QPAZbQG0XC6QDMSPbMt/HEJyyOR934S9zJeH+VS7YhQzvw+5BUm7ZCWp3EQAXeJfSAjsdoXZxFcbcbKBV0Y+JMwXGyFywSqSq49zhbqE2iooIJ+X3LJttydRvrhrkXONfFgc9Hnvnr2uGo5jS2LtSAroJ9kj0OAMkQaqW8WXgoAqxYqTz1LH1/EuwpFOZ1owBjZCo4knsN27OOBXyFJlSEQBEw78qwphBqDRcEn6oXHVPR0Rs6kIBYuKMs496nrTB5KXCaqcu95cA9PNDi8HiWQYb5o8niKH+k2IqFzUiFUedGVR5CA6IPyKL+IrEL/nU493U2h3UQ4AGMt95RRpowV1iJ0WY0eg81wtZ7VBzFcoXie3b00mZQ9jR2Ye3RaYFQddZCF0EfoYCWFC83MX7m3Ws8aufMmoqN3w2aIT8rmcQl47uB4MlR+POJJmH2Yxgrr5l3BphwK4oz3Z9smicehC8eY05Ip8eyNNDcrk04AOOonfeqjoiy5GX6ZJlkHjnBEsiDLLPDyt+HpKpEP5+EBBxYzpUEnjquhe1fQQyQ4e4MgusuW6CbJv3sZDZ1EXJ8zNwICPXs+54dGzJrBnVSFv5WV9TxwqAgDUg8wafocFOV+KRAN/v/Oqo5fdVFEG8V3B6hMphfKCwXdBBQ8HePIJcIFrdf74QvuHZUvu+aQmE5SJYDrWtfb9z+9vv/R3/zwl//Xn/69/vbz37fevp41331+f/32/X1vG86OqttsqhHSoVqTNJ87IsMSmcNRmf0nLVLsOY8le0YtIazoXUNhAeKMuS5/WmpYYTAw1rmq1aQueWP2qLG9YARbbIzNmQIltmkaoQfglGa810GzBElZpG2TOZnLxNmacYo+UxwYV1GNUaED4GizRVWs6lWRzRgM0bT2vojeQm/yBSI13b17tKFbc4Mt9KjkxcJLp33FRQrLNsfFcrfoThNkBToTUC+yt50vWXG6pWPJqppw+VMEnoFvBh5W8CCZldEzK+HeOiTjnKDAbtyD9z1vM2/vut/3++f7ntLU5+++Q73++V/8/E/++uddrw/MzJEnV7nprlVDv8uy+0xpPKaFKlYx9k+HAgBTXdS5MB5UngiCkTsWJBRITFzhAyqZ2ia5BYxxP0fceWZ+HKrZ9cdBoySWo7//Tko333sWxkZmATpyzcelnL2+dcQPNcIym3zGKdPLRYLsOQ7fIB0HDo4NaQtkTVZ4mugMzR+KVII6TCXZSoIYCD1T6aUa7V2iZyx7QejSbJuo++FQEkfTtcl9awaPwRZ66tGPHt2TGuv0acABgUMDBA2alF0pTeOdYK4+kOekWbBeX/CjYpssRuTpwfq3Btz+6mPsc2STGJhSweWmUqlcrMdKEQMsuq9jndbb914mw6PlOoE+RLfvkZVHCF90itv0g0kKRIFtn+/h9LPuFKDKVmcbybkx1yDigHIOcZL4wvDZxc3NCYsh6xDqqew7VaC6isBKF0M/gZYVXuIZW/Ahr3NykisGapyzmDFrpBhICpuEyIzXmJOHHQRSsbjsci+TF2Quw6p0BakmSHWpgGGPK30ADDwoK39Tlhx+D3Z9PrVPqewdu8wlWHzq784qlLQ0BtcKGwKW3WUZv9RAfKxjvsKosHhUKBBgSzStmPgOjG0jZu6JLD7fJjN9UW+XJjjahfMKc71MeJwyE9Cg5d3mVX6li5qu00t7DWFZji3B4mpyJthTXLeFMpebmwxv/PA3dFqqQcQgEP3aTV46DS6U57+FTNMiFT/OTXYlP4mbw6MeDP/p880q4yZyWJwoqiHj0SzqKJkE6x7omDU5gb6rBlNcck2CS4bg9CykSAQG8z+mBMWTZwDMBbBwLU/Pu7g3+miq26WZP42veKpMGfjrAw9k3CIp4TpQtmOOKcHoGGJVCpDeIzJ5QhXLpLILcNk0QFYj8hSZjuVJNzKIFfDVXK6CP8D3XmuBwbHTbqTNLmNm67RxGKQgBLwFJYUvAJWxWp4FB+6m/K6t7QzJqGeRfZ4a+RTYnf6/3CbETWsbKbL0T2m5xTpTo5S1/1WE6gyNn47dgqyMSaex1hkw8zdyf+TMykpu8jd7Jg0+Kwvj0gg5FZMhY4ppMq3FzwfFwVH8SU+6Sh/gUGzAEGQkUoz3kzJYHV4gNeJIC0uDCrZndZnvjXkIXhycKfzKQHvgTQQiAjg2N4LAWtnmrqxmrsEVy3rrbwsXa70Bv/MHP/xn/7f/qr/3H/7zf/pPdb/sN/3q9VePb+Z+CHPtrdnsTl8H11NNf03vEloDzO3QYH7Fb0U8MtC1ehGJ51PMSoeIqa2FM/NC1QIMsqD9PqRs+gEy+OjWdHsSWHmTTnRFchFVHQP/DdALA4DeM3ejW+46Wton8+84nWumBdj35ELVKjvZD6Dmxctvsq0S8V56EYpFb7bmtI20zLQVsG9xt+7u3u5bash+zN79vnHfemxJvGdhytaXUpEXcHky/MMHj1PoKn3g5fMCgNQC16rCrKp11cKgwOK6bMg10kCsbToUSJ4EWZVnXqSWH+ey6UNKblfUk3HK4eJ+7/sxe0/Pet/71tu9Z/GSpvH6i9/5/l//n3/5/T/8au73mmu3sFvsugIiXawLF6M75hO1YnDJMkWHqET9OZ1yjHM5hynQACKfTUxIbX7sEL7kPOQvMp60QKw0Af/PUWOXBpnydIlaykwt0mQoCpIAIKiIc5VywY3W0Vp4D41pLikbsfznF2pp4GnnYC6xII5oODyrK9zgrNHbgiqOZrCAteaSOFxrx7UnUoPoZywgsNKTM3VZCuPVJeCpTTmDLbV0Q4Jm75YevWdrj27h1rXnlI498g4wKPiSS8gcLwX3qbOiBExRGd+a5Fpn7znT1kGGLIiQl2WoXZYN2z4eQMum/2pYx3zo0lOUE4LKCxlMDj+bNIavLltoudWK24XBLB1kTYMsLz82xnOWqrJSSoZxTIlNhslCrYBN53SuekJ/sdyjt3seHkQ83bZB93xWB8EzzB54JLGnvNPFgClEIxQYiWVJZNUsDMRj2mIqzVMAdkAjoFmnsbF09zS0gogZa+JLR1Aqi2Nc9NSxSQgUPazzkNPPTPt/ewTYPx1cZyfSzCl7rD1HpHAMAIohrgQueVIcAC/TuJVSkK6xK68p0FIcPA2XxTwz+jzP0Zre0wzbjn4U6S3vyNMdESys9SRgyjh7sUMr4qDPYry7J68SAfaVjisfi5gW1NMKA7hcRtpfQ1N1yt2UKxbFur4oHK0mUZU1RRAwy53fatfRs39boc4iDs4dVYEfmTGIFBbiqSG8JC2Mt5uRoggT/bkJ/u9+gUXPNoMY+zl7mmedE8HqsHWH8joK4h4F76CgkuHuU3DbEEcWVBjYCcoDeBzkRGBNNG0U0UVvVREurdI4EkqzkEHE4Eqow4S4fjMcIGq6uhiTxwECdAIkt5+EJKiCWTgAcMZ/w0AILU1zTW8Z9UTKLVRNZmexBGoZP8+3Ngx2ZJnjrt1Gn6RBm0l4dJ/QONCXsGQCgitVlRkHRPCb2jNSgTUCrioPoVgUOIqYFOYKbGBScsNzgHn4zmU0XAoNFETeFfbgstoS4xX3dPk8wFXIfjZw2U5ykYc6OMHKyT297FQm1RKYHHhArSxvxHCwJisuyRkctYjNEo63VwnO+cun3KU1nsapaY2GT1jUncDhAuYcGCcAN8HuQsOvnXbWQcH8aBqBeCmYo68APSt9hbjS0h+wTefoqyDPly8PE7KMg3lktODG4+olDgc1V5XwgrXXtb96u7+dP/qPf/p//8kP/xh/9++/07fauynMdy/3+wic3RSVfYoL8sqP8N7TUg1mNqJhMHIT3U8oOVFk92oHUAlWUFTmOR2wyj05RHq1GLkCqjnbiTkBScxrEPjMGAUiIrueY94oewOVZlPolubClNYa1qzSRUHL7d7YjRuQHnum29UH42a86C5zadjTGeQD1NnOzpOlONKsNWsFomZLUHn1CCHdm4/Wvmc/cIv3vvqBvdWau6e7p6pnpjW4pb6IKq0ip67hhRX1wLI0mJsQFjCshWJd6/pwvVy1aipFPB3xx2gcAVl6uKIEJLBKBS/YATBlCt/xr7aCSmGKGlTfPffGp/e390e/vTY2gKUX6P31Z4/v//6/5j/464/7/f26X77ih14zwtxLZFONLgxarLYm/gnI2TGYTBHgf6hBUj9iDaovCGQaFble8CE6lzd6M0OOjS/qCGZxXOwvsr8CAYoaLtztx1tldMFXnnO8hyqdLrc42p7WS3HiKsisgDtlR/aqwE7jGs7HvwSOF8VZ6EcPsBeajsET7E0qpTXjGpW2AJabWO8/ArQKBJpoGbtCobCgBZruanCMIC6CWB55f4khOU+bUk4oj1HPGsqOW3hsde3tgc2IFAk0eDnSqepUEYZhXCPACA5s9Kbh8pVpCLD3OYtT4p5uj0167V9rGthqoDmtZleP2rWLW30XcALKGwuNZ9eoE9/hKRtkdaCzPTK2KqEBm3pbrWxKTJ7bbUjwnJmidSZkeYdNJ5YRZDBjYI7d0x4HOhx0+xcKRobcFQVaZRhSq3UpNfMzffiq3JqOtFBSPoFbE0WTD5LIOHOxOOY9D1IqsTCVKhsF75yWPaqKzbLo2Uk6/o/+OO7BJ9aHZ4DeeKiuAwZaaAzYLf3Udp4hrsD5kcDabXNC+YvwYlen2RGZoSc74Nj/2ji0TSX8Yw6e55WNdGFrjfoF8vgIXyjqxUgZAK7lesPsb14Yhg2h2J5C9pMQlKLMuTVBsVSItvj5B3E4gChA5JFsRx1USm5TEl6WRYLQosQKrWNMpDCugOc5O1i0XirdqBeT8LdYyRAgfjnuft3PciZNMBs2XkHwjCOxQKCqZt5b+qUVb1u3gP4VKQmIg4uAEL3tVyl20vtZyxbvv3N7Rliq5fn6tLN0G7MqAZfGt+ZIrdMjh22Yo/4P3u8gOoKqLlRVnDdohaesdK1hTS1vTqWOccSE/hnxKeRylePxlhKwmkChnDHnuBaB4DI3Y03bwPI01JGLGz3V8j8wdj+OsmDxkEoYKu2Q2VueyWA1JvNCtn2U4zYBPtWmRgCcp2bcHCSuKOtpl0snLk/m4pxDjovsVFMFHekTTsKlAUXgwil+izGiTt8dg/4l+6JFbY70vIcSLFiHm3k5l065Rwm6DK5RUvuchlUxN2SZD4y2i3X+wSBDjqe1TulY1AWQ471kKULNcigg6pyzStcUeFrIAM/CPb6lOAWV3677SkUKl39pXKEmt8FgXbAxeopXKSEdH807oAM9kS69qDMEYFJyPa+pZ4Ot7jA+gMLiLFzXqmBHngujatVaJZRbJk3Vy8xeP54//t//4h/+Nz/5+//87/s3g+Hbvj993p+/2e9bmmpLL2dRXnjhHD6jcf86adWrYI49NhIJAA5ui7xKVbz4XJkjtsyFrAvAUukOUx/jKzyHQo0lFqeWhwQA0VKKvMBa1rsQGs4cmwwEmogxKw3m7nu6Z7ofux/SLam1W9p83PO21V5GwpjcpeXyf5c31niiQj6/o4LXMGPdbuKm5CAhq2ughlo9+248ej+23sXH1nvf937sra25b48iabDpG7cWuIZd1FJdRvdr1oWryrJyt812LAq0EPRGxcVy1AhK6awfhGXZcU3+MxqRq0jPnZGUuozlAKad+lwHofbo/b3v1vuj32999/743Hu2Xm9++8bv/96nv/k//jcfP859v6s4thUnsLBqLS5Fe/KCQJYRteHUSmVIpUAso+OWm6YSP0ib79So4WxHT7v6nsgMNQLZENvAmQePDAKd/IlAxr5y/hl2YsOpqtygEqC0cIxvPdXi2fMMypnqFHxY6SkX8xugU2sAzJGHskWiZoL3GiGAMZ2hht0pn+0yAD+JRpnwpV7S2QjAYrO4XvhykcYHF4oszFr8UFy1rrUszK8qcJZ3Jlm0WYelN0muy3mtGyPOsHGWHZ/kjGjDA/aiWs9Jr9JJJydB2ZspzlggdTE4qjNkKkLAe85Q0ErlC4VO9fixIWT4yMzRwluF335VvUyfHGYCkYQkioeDchpwUcQTtm2+pAFbsfF29AoYe2Zt6TGwKFsq1DUBLbcIPgTeFAUvKCDAaoeolbQyOLWA517sAu4wYg3byWsQn+ruqpHEshoB0QQguKosT7GrhW1tBtxNo6o+9+UyKpxHVPhR/UBnHODoXACPciUNt5HIxkguVFP7mSMSzoShq7qyliJVg3/G2ZKLGBodzUIc+gAbniwZCFuuOoL0s3zfJ69cXhnHqibEWplVNPnhSdhlKt+dm10mzOtheZ4oIGa79eLxiq+CB4nkZwrA3hI5sTEdykEXMOAirhNefA/9X/IyHZVz8KoHT82p/9JiAEOfbBiOC3nHwYKGI7CfXsKV7hYSKlKaCGiqjfH7rzs/lYYlqjX27oq0ITjuSLpiC+qPLG8UcB/WPFuPddq3sPIT/rgCX5DwMq4Z0RvLlwFs2I8n4hidN+OxGKGix0pCtynzcpKLZMikm28ikDk9JYIAaTGMNBqtW4ziwJYipl1Kktcfx9PMHaLflyO/w5iTevqZVBvu77xb7kttm/FhwYbX0WMwfTfUlFa46RIwPYrxV2ivfEojPE6VdCaKzHE8TOOGPFxGTpHG3uc4pKIJQYpaznoeMD7eJaS8t7kKhktocEOYOiNzDgVzLqCfSmgUmVHwb5/D/6W7Q1V0Iwn9NaCm/SKeFm35gjjFb4UmPlxIm8CltAIceJrGlxnuMJTqEYBiuv2cA4HnAw6IX4nsvpvjgQdWdgLxkKpGuB18lV9geds6NcIZjLIsD+EbqVXhH8U6Gyo4OAuPPYgshz+km+CSignjbu4ZdQ3DdQIsi2AK/u6W2ATucWRp3cPWtkZgg3zRy9b721ff/oO/+b1/+u9+7/P+9rvf7Mdb9a49eP/8mDcUZm7svebBjrIYvugz5JRne1c8MDVIX2XQuMo2u1xVS5mCUyZOgGqyOJwlsDMkdGE9XWiYkAieSTXOFO02uLQo3B5WrfqiE2NuTTnaKqyDyGn1xt2SptGz9X7rcc++5+3Rn3c/9n7b+22zh82YqrEGq3WOl4tHozrIZTFoMA5H1peN2LM1YwLS8OVuPIDH1o7mXr1nb94bj+4bvbfaOFjP9GHfd7JOFT68aC2sdV3Xy6rCy1rM9lA1gWnsEaD2kS3zw8t1ytRhXB1DHMZVw9I0hjDjGMzW9afZDFOdAcwV0HOE0Zb2634XduPx3o95bMw7+vMDr+s//9Xf/N6f/JM/aDzu7jUfp+2nxSViTsq1eoCM4jn0csGWHXIIm6feMLa3zkTp+40O1rn9ZI1OuINt8kWiq+RpQ4U0nAW0tTXMAweh2LUp7SPOx0pDqtP86/QgCSldLp3s6BnEgnWKjPygOQSaE5sXwhfNyBSUJZKGSgPZFLXQlL0oLILUVbhe5CamSlx6Wfj4oq9f+GHxw9LHwvVSHy+8FD9eennhh498WbgKX5U+YF5WXau45npRSbVq0boCLs9iLJKQNgzjqMgBO7sWlkOoMvZn+NLNe1wbUinbu8Rc8smj0CiWZeBJ3/Bi1wzmI6Cc3AqZNQREmyIdKvyA7X7oHJELWKhEkFMapCtzmehU/JQn+/Ob7aHIdFlOvZ6CwfFZzCXJDKMj8wTBRLRrZtnAQR2hz6D9Jwr09p+JKMTn7tSEx1qEPpfIlHVAJYc2SRkUcaGOVFCR9kg0CChDaRPk3n6Eo9GydtPPXXyuVyRAiMbXk4VhZ5DMXgKn6XH2OUU8zaP5G8TZzTXxIbrqdGoKU48zuhphbfNMstmR55QsKWB9D7011JWBZVfdUil7nsrtK0qoKUir7BRnOFS0R8N4IFOBsInrVOUSMupWYHaTe/gjNIm/fa1IzgTUWgsu38zPOVlTquV2zGOefIaRTDDZIdTqV0EQ58DtZGZaDK0nOqIGKvTocpHK4gx4udF6BswnBGmjmznzxMaCZI7TLzgt2LgqREWXeRRmGIirxhviD8dhU3jFjW6l9bTQLByrytR3eUgKHiyqYNyha32QSUxl44fFSWZyrWtZqa0QLNWQnHeDDnJPZ3mrm86TLmi4nlYlbhM7PVFTLK22f4wGU+Y5bOJXoTEAlmdNU1QHS3TLUWNSaBlKRx6gIRBFyj9yBjCskC2JTb/+mslchQQs2wIJWNBeVsgfmKkKs8sDPwGRDkRfnpaRvdsMb7luAgrVTC0DGk6zn7HI7qlCVNMzOT6k8GKS1NoXFagG6YycujqSHsDi1bQk5xTWb+UFqphhMYSOjtfQmRnxji2l/jaJbjCKeZpu1cLCy7rgRM2qQtvfC3jetVTRNFW2jBs5dacjcbGdYTRPUSLjGo5yee9UNHFKpKKjskxXlzSeTK2TjNLMJ46nUZ50iDkZjvpcGba/Uqv7l1UuKrCMtmd9vZ9xxWtUIGaq0iGfb1fEsJZo23VAF661qnDhZVh46a/0hv3h0x/+yx/+5X//8/vl869/8839PlfzMfvtfX/6tPuBKc7MbGACAKk428FPcv5exmEMiTWxDNWWn2tYWto2QWOvAjdy5EzRtgwLS+rBxQMMuEt3/wzWmbFSJv6qRlaEAHFyKVVTEK/UBUajKiCkBeVt59QaezYqnBNEaVMXWfJSIUz3gNeHgjcZ9kRV7BpQGVioUUazY+SvxUqpii9Ro/EyuBe0VNqYSgYfiI26NLuL69LM4GVZAkBVEbBMiYWRrqoLujdEalMXXsJfcTDEYjWnbPJwoGyS98SiEDD20FAtC5klrKKw4Q29vKwe0F7eEktZtSJhUOV9yqNpqvb0Vfvtfnxcn98eP3grffzAvt41+7v/8rNf/Pk/+Td//D/+v/6HD/2T4gumZ93kxWmszMAapKPYHcwNwd9T4EBc6+lGwXiRKTFogoIEHxK8TLRsNO57tBI3liUTB6cLkEIJWLALqH1QA2yCwlBlfAv0D9LpRJYszwEwaVoT/+oUrQ6oTlR4QhiAYjUwi2xb1BhsLnjlyZMuHA6xVFO4qMIlf9cGFqpLQOHiVcRVhxcuy1idO/00jYMEDMaqGMksRDv3vKzgqP19F3yeZX2hQQXr2rPEGKpSy+prL1omMFxLVnMXn82VDrjRwIuiRynUjBbH5r+cGg/Z23HN3W0G4TMA9YVGtWtM8FtYfNzBlQRpZuj2KkNfjNoDRx2b+Y3UvukiJmnFRyLWlTBLToIoLgYmLNHdKby8CXnB43YlDZ/bQgY8TVEFClgDrTBF6fvCBVhR6CykkzeeoLzR90qK85fTADVImUXAKS0dk+X1BHjWp5FQu7Csw5WFekd+6oGoQ3KXMIU5nNo5Bv4vzOTOCckFK6NGsM03zOTXU4qe6oV2cbHVd8o3BTdzyguy51YBo6R4e7XKHFjRrVPKIJvShfNFsXEVmmWL+JQPsvnokEVdCOoRpkohgfzeCtNarJnxSlZDfzoxJvSksQGSY/sSBsYGoQoZXvYtLuO1hGXeiRfPwc02E86lns4iSALURQYX0IrnRqGErlP4WWEL+ZiXGlgOmrYMp5fjut074/6ReFisxrAhMu1Z1PFdlVUXyaeM5NKwl/NunogIP7AnUBKduzA1BVc0RHmERpQH2+FGyi/S0huRNafCc7Haft/PFHs6TV8DFm3Mh8bQJPhYW++mSQsEObhICLNYwgYuWhUnGcEI38jj0TawzKRrKmW05zVc7vma2LzY7alzltLsG8WceF2AcN1u7uOya07l+hzA3jdRml75QU+/hJhnOt6p426RaXLf4mkZYCFG9IiiRgVuAu5M0q0qqauEYRvzMIYQgtPaJ+bzdNgOyVLZL/C9c/jonEIAcrF/Ql+dmQNkiNQ4yEo1BkDxbYZQaU3g2hq5UQ6O6ZtRcogBNe2RceI4zPJ85mc41hIbAfbk+yLDRmaL6PCUgVL3DAbzC+yYm7GUKT9lLVEdcMrJVOmKfTTTqn9pbICnE7ZnlI87t59rgWI7OkFpM/kcNiY44zHKsgOuCVIUuRbuEaWrxuMfQ0Jr67Gq5o27X3/+j37wV//mH/TvfPr0q7fHJ629Xh+9G5+/22+ftu5rPrC3WOve00YyAHBPZ7DQpUSzV6IKQt2ySXbpZRV8wgjMrCJGxhgNHekycD8UrUrjirSR8uAaIRxLBRKe15u8uHQf4iqvj65yx4bW0wYgMWUkrjUCtgRZ/Vkdq7RVFKfbwu4pVi+WeGc5PcAVrTHX0BzzFFW1gHYTfg5veWzTfitVwnDVnnSSU6SlvWTYUKtXNrRrr8VaxPrQH1XDWqqpdUHQi4RRryp2Yb0srr5MFqw2PDfaqzgg6yI2X2o2plZxjHiP2grXM0ToMoeyWXKhwc7+sBqB08x05NhVA9PeMUQ0UdW971tvb/tD6f1z31/Phw/QdL1+mB99+pP/7hff/39cv/l/f/7B+qnJXMytusBa2L2TI3riCFMgGWgj7y/qncAOZUNAlz8p40AHI5crEyrfJPyTl5Rr4XR8srjb0QNfGgpnAHOIHNvsrRUYTkclwDq31Zyr8S2G4nONev5t0kKW0eIpNhZWLdTUlIpYKb8FQ+8zBVnes1h1cduGtoTl02iWsq+6iCLmqiUb3XPKK8ao0spi51gBiNYSY9meqMrwNnc4IqxaZn7oOFw1K5sn1FzAcIocNuZUkBaZwN/F0/Zwgc0q+OicIvrFCoAKgAsW6F/dUWMR7elpoyz1rDARMz9Xia3KnzQo/Oz4HADs66JCddXBruu4SXVOk5l3lNESV8xL7OMakYFbPPUubhWMhUYOYMinYhDtakrJfKnRqdYyaOUgn4p/JWb4x5Yi3M3I5Jj/WDm2XqqHeJWZj47PppxSUZUxH+sSCEuzTIkCmQr2eKyHISJOIh2SmfkGIP4fEWKO50wiegkOm694JBLBppRmJt/MEjq6vlkRylYyHmc6d2QlT7usthAoSHit0kzT9mCH/Y8uHONZWc1gMQQOucwsrjqPSnAHlFc6RfKSRANJZzZcJ9hYf2RsczpUvc9aCiYW14SvrqhvwMMcpbgIksiyxg7SOkWjMIhV17gPyAyRDNg7qZbd2EbJ/TEKOAhsEULH949TuRxDpDMw60rQFZmtZ7RPLwhpBrUE2N3bmKXvtJnjiKEdIgkL3yQQtIEuy/HLlaKfHsownCt/N0UIfeXFEH4MbpXXUZYE7PTCMLj6wcx5poKDB/Rl3qJ4yOB8NzANKMiXw9poAeuAHMAIW/kxcU7cqT87AHCBzKxO9GEHPaY38NTSmTIHMsaZMp+MrMx1k6K/A8/OwEMp5rnKU2X+ijSRFEgXJzMol82GE3bkBGQ3FZSWC22TrO2+Im/ME/UjZBLaiq9iEok3YRdlci2426SB0bmrGdkZQFiytxuTVo2O+kWLoW3O53fXfv61/4HprfGvRfi9UleAkAQNw7vBT+pU1OnM81+MLJeEEWtlw6yF2TRmMEdNpAjUE+LCWiRRzxcmmRmytwbCrUdOrkmUxD9HYsB1fxKCsTu/R6TXFDSLZa2Wy5O8ev+iYlX4cuI4aCHdB4/CxvxjCqQFTtmm4FiBOjr2iPJWg4JtBUpYj+L18v6y+d2Hf6C/+O//4fd++eGbX/3959+81+d1v93arc/9+LTxzuaemwNO79SsKLW/1AnomcqSiaVSlXfN1SJxsWbm7B301SdYXmJKtpfkEVjSYHt8JvgjuAjquEg7fFkgw1keFEiKwqqnbbZ6NNPdcqZUu6nuForVM8O5R5LuPT39ft8botADPapn90yb0/HO45ZaX5RvX9ZEwYHB1VVwtlxlyUIpphNWSD7eA4H3YKZvzJ7Z27LHaZELw3Xv+nzjcff7Y7d62sfHw/lrvfCqWi/19Vpff71+8PXLx694sdcazhR1LTeoxMZUu/YQuaCF9th1GUQeWectGh+xP8VRHHJi7Y7ybGGtgXYjasHRgrgn20Dv9/ux+bbxdlv/heu773/3zd/+4s/rL//VL4ZvhQ+ApE3T1mqMljUVRK2yw6JAriWexyjUEQI94SZfvBTbCT9u/wNiMJYQOoiEy/PxmBY2MaWnEop+P2a+wyM4jKbxd6kxgIHugBD2gAqQajLoCU8jUYoCVJglOgcLDQ66Cms5R1u3gw8Xvvqg73/g1x/q+x/WD756+eH3Xr7/1fW9jy9ffVxff7w+Ll41a2EVP1z18lIvF1+qVs3F+bBYnJdCkVUv60LZLJCehiOZRSCGLkmRw2XMccadeDwYSmOI0ZBJr+KLzWDZl7To3XKnrChe1mtQK4PjLk5RzMSap6kkK/ktt3BU8Lg0KVStWDM5DFuJkBlcc99YxarCPH2OyZUUkZcunD23Jh1KnmYfa8ya8bej4VbgFKgTHI80tOrYXKgAMr5JKTsd65f/piCtVLwjWR93CuBURkBlGyMOn3ZEDYNkz5HdyUnGtIOAquznYyRLA78qLptBuSJBFdjk4YWtXF9E2T/B/zkw6jBCtcGiOGeR2dTkCxcd6sSe2YWlZUSZFqWjuKJdiUJS8OaQJOb4OZ0TgLMrwjVkAg8ElCdGxhAAeMA5lobecHMgtSWv7yTkl1AA1gDklVEiZbZB5Z00PN+RNjZcRa7rxaKqi2PTT0cixnLQyVa2QHnO6eJ8fLqyiNKwMHGFqsL4kZ/mzx88xbnAs69HtPuaolZKlZmqz5oDq4OsBrUBh3k9vzDULMH9jTxaHuTxBHjk1rmSichA5oXXePYagGo5ii9XzcgUpiWejObAIdjTBTmcXzrZzfhxGG2hGHtsZstiahYtoy7k6SBk64zU8lx4kgwnLqi0fEspneY7hdoAUE/KsAPPAJRlPdA2T4uQsgoSNp6HVJ3CmrXMCQ5D5Lk31plFiNTfJIIErHzDPAMfeUrec3qeuRnMXC0chzN/DR9oxDZHs4K3I1W/+YATrFJLFoiGsEjsZZmYvVXiKeFLEyaBXgoT8KIAVVVnJPq5PqwyL3RK6ni1hOzOWjG7053KW5qoBG3bA8XXlYCdTSvPimJWvbgKDlFGmHn2rSNoM3BP9YYeBpfnnDyP4Tr4/D9Nwp23dbHDWSbIneNpepY8k/oYhXJKh6IIp3zxNaAZyxNefwvDCD/peVsG2UlIsMsnD+dQAs8IjEvF3N2WNHHxUFVwydHkXwbbzt9lPo34PFJjgyRguS4PPITafl/GAGqZxLF8BEuYdb/sS137B++//Lc/+Nk/vX797d/132Mec3ffNz697m++eb9fMbV2Yd93t0ZkY8i27xjYkWMbooGHRFsZhlARaF2E7bBELLGepklOFeB5I4jix39UBeClPBxngyMgI2gxzzIy6+Ytva8/B1cmv1BL6i2vHG/Z+nTbBrODeRDVDdSa3jt3pz0CO7JTL3o0mt3KUHGM3oeDWU+R7KHgfWfmeMmlzctOiJ4YbHeSCtU1YrN7MANFDNZcPTP3zN3zuHXvvncLE2cLLPOHdeFFXC/8sF5e6mIYO8PQq+HbmAfy9cJ6qfXyYpWj6QtLW8yeMOPwDQnrwLA84nIjA0NyBbgsEKO1gXsP7hu99bj7u8fj28fjrbcGenz/28e3+MHf//V/+4+++tnL4+0BXNdLiZwS6wKXrNABrCOhkfWzJMKQoJVC4nKR5Hdv4Zsh0HNykkMwh0L1hc48oXPTUQ8WrWy01Y0hToXaNqTJUyULwqiz3eM5+lWykQGCUlr4DR4CL4pziFPVRchinoW9WGDVwsual8LHF318WR8/4quP19cf+L2P9XHNhw/8cNWHWl+91IdaV+HDi7661leLL4VaWIWruFi1al2rFtdVs4y/FMd3J2p1P5KuHo2yjDtjBeQUX5aVBxCgYpYSkVUlVMWAmazilOIMDRawjHeUsZWDhfhdgjLUxCNJyeOKI2E2k8R/A+rRFae3suVEpYUrykYDvj0GZ6uY43xAP8NFxZPIlhEZUpNoZUizCC/S+EIzH0mBY7DtlABh1mCRv9UgWEfv3u5MKsS74YzLmKQRj1DVKLILmTEFEU+nAXSmKc3pAgjmoGcfeXmcR6fUlu95qFgviI8V0cFpXcI+McODpbt6Wl63q6fUGq6qM1x+kLDYOrh9mYanzoslZhvMacArGJky1OCyJWgk+fzJvsqpcMLPGYZd5aQA9BxJNQVgKdZp4PLwzPJfBeNaYrQ8Qg1wuMjF05OcN8uUDUPuRZamRpk3XqSpsLJmSHYOeWKWtegdZQbtXBxMyk96dNVumCFPVraS/VZpiAF7wSKbJw8ZopgZMssftQDAVYZlwszYdcSPCA4FQrGVXGVc2PVbnp8ZuxJ44I6wvgIMMXakEjZ18j4GlUYTHz9XISd+UiBrx8jgRDi3wsPT2ORSpG3wDbWUImSuZKct76+v/CMMkD3fPOis0LJTrut630uEvYsX06LFb8a+M33kAU6/q1gVmBM16DBogWz02c86wpFKQHYhPFXYIQmodNSWQQaSdtnrBmSOrmc0lg/6UZ+uFggzF+dUv4Z89F7PXxbFX8ZhrIv0wPaciCwhvY2BDGO9Ka5l7GC5e2EdaHkGJoaotm7SKp8+kKqtKb2fJaDtUyTme41YRJ0zkb2TwTP8p+NzLfdcBuHdQlvV5SFKqE8ZPs92Dn5mp56C8KR7ou56kgkHxXHCJ1jmZH4bycfEJROSNHb8T4eR4K9zsX1aSHtRA8Py3Pb5o5kYhPmsJrxlM4LViXgwxztWi3BcTBvBAUEu68eZm+hBBtsjI82usQDDzpPGx03TIR2MGXCsQLcnD5ezqamKC8qGYBHX4tov89Cf/dd/9I//uz/8Df72u2+/7W++vh99P97f7nl8xuPz3I/a9/S7RPuIUiS3vHyeHekAkBA5FMG1Bkuq7ZpegVSE0oV2AualWhh7MdoGxEATs6acbMOxyP8w8BiV8fNyyPPpH1qFYT5lLAOXqUYkghTLyUmGuK0xyv6okD8BMcDqmXs4oxa6taf33FsNuxgvZG1LeUVAhubtXDPI2hqSS1xTRHmDYRh2Q9Yb09UADMVo2fB5FKZpb3ZpMGrMnnv3+2N/fn28Pfb9uN/femekt0Dwrtag0LNzISRpRmx5jEc1HM4C1kKxXrxkYRnktISxgFlUoVjLyuJgDSSjZPGPxsl5NRKbNma5Z3bz7f398fnt/fXxeLuHa++Pvfv1/Vd//Je//4//7A/veUcPqlcVNFXyQP6mOo77gVLj/17RHiTQ2CPSsTZ8OWX2RE5fDtBA5mhxLlNYOwbid8Hh02UJqu9/VrUuHNQuqdJxscpRI8jdMTxz2BgIvMwbigXNmVohkVbA06EWnpAFXaqPtb7+uL7+UF+98OuP19cf+fJxfbjw4cN6ubiK6wIvrA8g+eGq60PVVddLXcJLcS1dVx0Ho4K0csIzeNZgaUQOGtqcJfu8woD9qRjGNhGloX0Uz+bIkWw7qaDrZ8AKHNI4a5EZC1koAmvFxZVAVcX3eubkvKo5td4a1ViDVFVYHr0UOEKXV2khnza1i9fgSYv2ImAGU8mylBszz7LDRfAX8Yf/4IFpjorbGELTR17raf116tt5FnhWkKa5pLRkIvRQgKUz/Tan0CI0bbga3LI2oqq+fC4nzUF7OElpepDzRa/Pk+L87maVMtToPOl23T2oKYTTDWs4qrETE4NgdUqsQ50QMTlNGebIyfyhgaRmiVrM6k5/Y0WPfMr8c1VzG1HWqKcVZ5GK/z5sm2/m3lraKZAsfFkE6HGBSuSBl75kLQC0WCpo4g08J8hS0Bycal4yaA9L50oELsSYqxZx2ZGQvOQZiLB6KdMACm3cJd+W/pIUfBRzpqi0Z6miAZ4NRhC6ik8aYSwodUtGDxNPATsxClOFPbo0LUAVSxOyGxfRwjJ2Jki1sI2atz+Yb+6UyFIU0a6IJpis67msstAoy7PCf8hGo3kcMrtAmxpi5OFl5MfatAkj2VtGMY7JoKd/AZE6rqyEFkVWq5ZED6VaQjlD1kAcdrlAojGNbe3rGdSUZYOzPGUUxsRzJ50BycpsAQQs92BzkWb3p4G4m9UAHC6oV4aLMOMV5/TErnfPFTSDZQkegBM9QhbX2D9G0pHGAw2WByIZxlFPwMn9K0n29CKXfP+U05fZMk9y6ejFpW5WZroPLQkCxzhOhka9ByazxJ4QFFWDCUXA6TILktZTJ4UucUi7CVgt69biuG8Y6XWZ91t/VwC0BFfFWMMuv1MDvayYumkOn+Evmy0EKmizatyJEUGAfdlSPxtjMyTsV8VnyNFxhfS/lS+Pm4nAIp6RhfP/USIyvKaEivEbgzsF/Y8qDJfhy4aqanSI4nS7OsJRsVapJ9PV5X+1iHheNE6Fv0hgvLUySjzDVn7kqb9cR5Akx2P1Ks8SBV0yDjkAuNhmeRbVC2TXwkuDbz/9dv2Hr//r/tP/0x/o49u3/+Exnz/uesyD98zb2/t+l2qpMA2w9ng6cVuSP8OLbFPkhzWmrf80+Tx1ESXMsnNFAdBWZe+FxKqqQY2GslyoPAY2qyiuyTQdMospqjAEazygWpZhAbh80zHM8NCMCM1GWaovDbbJcQjozVpjALyIFqu6x0763iCxHDpRbTjBVc+gC92cYnEFjHcbGaj1yhH2hNAE8cABrjXDDP2YMQdPD5fOucVVbbnL8oxJPQDMAHWRvVUzG8TM3KsWV4ngdO977p02W8Qe1gyW6ZNqsUvanFVU1yX1lNidC3By5+UxLuF2c85MBZj21cYs19lDVbOhVcKM1gIlblEb373iRzfe32d/b7Q+13z4/El/+KPHn/4ffv4//j//57l/8tXnr3vh7doaXiLQKlE1C5TW1BmIM1qrdg1nyNQIgwkyN24+KCr39kX0Bpe104HzCwKm26AJGoGNcXqEoQe0rEuHxOf/DZSF6WtmVj2xS0f3eC7II1iYisBVAlkp0YAaF4pgobmEfqFerlrVL2t9vHi9LHqEzH0KztddonBLJKqGXVMXpzOeUEYcZyWxnIqQjmKKMXXQmZW4pGNeHaeaEdHV1X6NXaiJfKbAmFtOj720ykqoBrlmnN8nugMnylWXlfwIlmTYBpyLV342dKnAKVRjYuWBLlXXcMrxfs5YozReVD8uxlc0EGYtRq45YiSzTgKNFZQjd/3/qPqXZtvW7DgMyxxj7nPuvVVAoQAQIAgQTwIkIFAiGBbNlx2SQ1aEwyGrYcuSw+Gf6b4bbjjCDYdDdseyZTUoSngVUHXvPfvsveYYqUbmt04JARZY99yz91pzft94ZObIoQwduILewxSDUbbbAcidZwBo9gLEFro1Kf38L9rCM2p0dybGh5HSuICzoVOIn1P5aJl04hk8prRdNQYU0jC6xdKZJndnzLoCl9g0w4ltrHdf+8V1Vqg7vShYH6zCaVdqHJsouJJSsqfFyBKrOjiUMoVQ6ZSSCwPOuMVFjdTsI7K9MgPp67rQhmuJirJBVJZkWlEUhRXWZe3BGTisKlhTujQKjwPMFwDtApnv5GbXadyGnT634clKYJckixh2bbGwY9m4LtmXy44UjC/UaQTcpgk7GIlrYNyxu6AMZK5SbOwXZcEeAQez00CuK+TtATjV1EQ0MIfFSqleSrGk01kBd6f3SDQERD3cjFn/4WHxzZCp8Sn6xkDoBVXeZOEPfCorU7r+LW1YhblHArZ35bnOBl8OWMIqrm9OV6l0E55zTHFW3bFSO9TErv21I8xwjvSvOvCmP7coyMvVYGeH0tjuolIESt4gYPTIhh+bF7enDjNecfnYCFpvMlENajGbBaMOB5UIIs+OOVi5sfRh6QZSNpqy6oJvsv8BlCaKM4qJF5K8gg4jhbue8rtxdEub/Hx6JTRxlPrwNLJJoQpFQJr2qvz4tUDMT9It+SjKveB5qog1kAdrgrhA8HkarLNZ2JJf54NxEX+7U3qnAZowgEEVwORBB98nAGPDPwUNZRJ41toKHriL8NvZ1jfymfWd5hyAAIR0RKzYfA4gs6IOosdv6tBD9k3Y8xbcqZmWORfqjH4f1MjjC0kellzKQ/lNa8ryCRQxp6PDLpEl0CkclHss64UOQWFP07Xuas5TwcFwzLRbZui1NvaO8hqMbiNdar+UJcEP3q9e6Fb1Oxelvj7fnz/82sd/+h/9w4+/fv3kb77d137/PN+/vb3eb/s29yve3+/HPQ+9P2bvXW1RFucU0W6U20HlqOrSZl3sCEsOaUrCm2Wr0vqhy9if1VnuDD1lVuyuHDFGkEZjUAl8IJshWliH7ai8E4C1lqqhugvs8otG7FUFia2ImPbZhNuzTOB4/68nybBbQX7D8653wCx1g1Lpagvzp8oQhueP6uqqri5d8VKERS5mLqtr8jpLwlaKVBXjpWUkzOrb+/E+e9+Pt/t+ux+f3+f1VZ/e5tPr26fXz99/+vTdp9fvXt/eHg9KfXnpB3rXQ/Z0MQiV9wcMiMugVwFd6O5mTTqRSQFj8PYC53IbU6ffG1VZyWZTp1w77Wp37537ftz3/d3r2+vb4/FY9rxUX+/7uq9/8C9+65f/8JvP7w/xm+neAjiQFhdptwxYh6Be+PmYdK8MSoWki/uEfO78YVdzrCcN0a7CYUTjQVQ3VeRlk1kXbQf/FBizGQtpU9+DBLOifk/RwgQTCmhluOq4+J34Xaf6NROQ9hR3Pn5gk+vC9bF4sa6rGsUurjNrxFDReoIQq/alWBPn/DLtdWoxI8Ytghc724moqHmNunnUl/RSxZFVwgSFlUqjsTll0717zLbGBe1Gvlk+p0+HE0O/HL/HmmQeFqrYrW42vEx7rqqmroXKYv8qdHmuAGTZI508RRwcekh2hWM+USbgAD2pqDrSgkxKRnMk0VPOsWkGtDqmUPw5Pps86cNlnzGuGNcZenBRHNlzStAo8ol2SEl/o3VzbPwurfkcG0svoEh4Dx5Ggh4Ba9Nfqcl87rdNUwafbkwBoVYYxDHFCjLI4pQXJtzGu8MjbIssN+jXLk49wBjnpGJ33gqMahDPKcwNJgBNYXZVp3EGiZ0lzGiy7FGWZ0lBm8lT2aQt0JcSqs8NarfEGkcmhgvh5eQL8hgAINqXvQrXojjXIYUyX7Qqi8jluipRIVj7umZUQXYXqOivQlscMQ7MiPvg80u02LyZY0N8itGCDQgYkiwE4qR688sHvXAEqezctiMzwKJglwqsl1mDWE+Q+CNtUR1dtOtDt3FID2Q6RMeTF5Cx3XIaliLUWHfQhK0pQXhBXfo0zmWdzroMsW87XO2rBN27ruDkKjs/bqLuY6AkMMjmcp/MreUuFvMldpuGCnGGmA3KBYkJhNNTIJyf4GWCExAeZ/SEFgInFyzpNUHoKZqIlvfieXaoJtBAboXdZdfjMFDqX8GrhFd7aCHvSMr9B6rPXGzyRnTnnuO0RkMaP0JisxjKPufno66ygtkyOEYeVCTQrC8n7zzLkU+UoZ7lFtDxPHK4l6MVLM5hwjcOs8bjAeBQ42WO66fsbx+IyBg9sbacPzgIv6Tq9HLSYcFioMo9cJ59dNL8EXZ1N62G1Ooh4pTvn381x8yETEC5or2A2eDxh8PhH9MSyioz4jRrVpSfg4SKkNiHy5q2GNmEkgn5Y7BZYYPF4sZqL5HUfUCAAWb+OpQKjx2205DaRUYVhbaZJA+NAbdNG6+zAOIlbxAwuZXWC8deACS6moY7+XJdqPn88vZLf/On/6vf+q0//uW//NlPPv3t69vr3vdjHo/7dV8/73y+9ajHgzu92l1Co80aS0peowr7zjP3Exw2YhD4JFnbDA/ZGhW7yUVNlZrUqoCGvUueTtXFq+uyuuLpNytC9rE31BKddYE6No+MnXMBK28VQf5JqruNSllh/kvezGXtmlWu6vKxrfHWjK1Vr6zXtdwBUO2gZoLNZM4F5BC6LpuWiUX2xQJrX7oabDaL5eEcHzVPJCw0qmKMDUYaYN2QeDgY94157PvN9/d5fzwej8fj1ue3/fQZr5/w+Q2PN92jfX9eSkVJnGoTqxsxhzlkX5FgC6W9qmQJKUmqfSm2eeEY54te3mW7NvdPkq0SLBV9PHbuwdbn93r9dH/6/P5+70Pf73yoxzfv909/5Xcf/+Cf/ur0Aw9LertdZ1j/fKlRl+UC1rnaSpzRH57ECmQ80T2Ctc+RFnhOIWqDJAfzMMaelpLmtBFurREaVTPtktcAB2HrLCCWAa79wiVqd8HaoeyTzIjVN+x0Sr7kVoKUj6Ou+KtvFy5mmJXaGhS3eAEDikPIxbgF7c+lcnZVnHIgQ3WkBwvBss1NBICGbXJdIK7YJbk6t1AJELlqI2kF7Q6kOW03b3HX6u+qsth87RgfesRZ0V3rmtC2zNEG704HaDXRfdCUi1fG92+vYavLRcEUtqFSdc0H8gIy8QKWLUxeVF4/YNievJQ43qXydgK0y3NbJKxdslPIojJOBniwWwfC3aQ0oy/2fDlymDQIwZII4DYoRAk7VtaCKVoixijuBkdFJKXG0DSBrHxSIwI+BoxHoutRZVcXt3vGpCriYqKhD7QsPgtwdyKeUGARl4Q4ytsA8/jEM4mH0SUTnu74Mk4z2SIpDMvXBTRmiOdfqihlIlWXurDR0zF7z7TiKl5NORYln9ZJbYOQ4rVhY3y1iIwhWZcM+1Ota+oLWyxi2UgNu1pM+ZFYTBKV3yHnDTemmDFwiBLLxO5+qUnsx5QJIoFAVYbdPbuxtq0IDCYaDpexJcilhRHGFPGoDuwnm10MYMwLkqROxXpaa2jLy4tCDioGJrXETR0kUSGPNllOJwZKLD1rnIisXU17MPMoII2rwikDEtbpSFGAP8+3O3wHRbrRjcYZEf6u2gaJG/iynot98gkMALtJcceuHEtPIVs/vLKQBacKHAPF+Vc8BGTdFeXJwAI9RpCfCHKpNuxDUpVNmx6dPXuNVePanZhG2fTHEj9ftMqcAgHUQBFPBiOGHZyKyKgx4ekKHvuYmAkdFc2er11nfZFfKwmnvQPuHEaIjFKt0FkkuIcTkBdOCeWyz/5WXg1WW1huHWJO5Po3ECDbd8NXW3rW78dJyySV476L40o3rxT4MQZMlyMrUU1MbLgAo+MufQtH151Kwl81MdfJw5eGhu6MvEQtCFkVIxIqdDp/wnBYRBYDAS9EZfTYvKEyNOgifUNR6fA+TxdBo0qwkQQlKv7eSZ84QjOdXvtcODt95Bg5RhC0zxKqPBESpzRCXgwLenrYH56lU+r4Bx/e1eOdDAIbyyAQxSmgavMahyjyLpTu0ragi3wMRq+/8b/AP/znf++vvv3z159+Pw88Hnp9vffGDt9f9234mLq1O0aMInb11MuCrlXipe6PayeQuBiQcB8kkJbLHwsJC6qiWmDZwJ9T7RzBXvFxUVx1GdfXCuP0qxsivVomIDlT50m72InxIVm3j99adVwGUNxiD7mtPYosBpRxvs+ubmgvsqphjDfl4douDUBdNFKZ+Wq08cXrpS66rFG72eC+OG91gcuL4OIyh2jG1Mpf7Jih2PW2Ne6MmeTSY+hFHoJhj7tqdnYgandn9pYemgEk3fb4dMoxNUrGNVhoN5msgrqKl+piXexWv/iaNevce8E0Cll8YeaYfBE3csfdknQDhObm+xvumU/fz8++ff/udR546P3q++sH3ufDX/3x//Q3fvybP/x03w10PapJcmdoDInYQnWENz4h5ZOTnj6C6rTZvnxuHh0nk34Ywo7OG2cQywV/Ao9oIr86vCJLuxJj1IgDnXuqF8ZCLZMWQbR3czikQhkGLSBeoD5UzT3IAk9tTpcbRR8j4sLKm3FqpV2PPkxhia5FiZnkdQPU1gYV6wWlOzmogyu7Aotl4PrxONLpyPBcucPE1m5rbEULJDTlc5pO9WUXk2ctqURQUqc0eYjEG35wgMCMazAcRsXqpE52i3cfcDXIvairqqq6UXUDRKub5RkbssGXF17r7WS6Glfn/VfpIuTRD6o981VFa0cOHe3IasKf3s5NYwwk6al9Gl2mNbys40wtj3XB/VZlsNJHbcslBT3J4LjAOlCdTs5IL9AZy9o8uxTtIFQsspq1ZcUSqymYlCGk6iK5Z/ryWD66ziZ56us9FDkk2JJkA+juob+fi4KVAtwkqFObe0BFpGDtV1XsK92w+Ifkv8DEYFiQkzu9j49nWZg2A1OGLKNr1yWE2/WPW7E42DY96AslODUfqQvcKgiU16uKnKKosvMlMJ5KIUoXUDRyRPhkEi2z6OUP5QY3ybtix09HUwXhdNUSDJGZUfCQgp/3qbRxShqkvmFazZiZ5DgozGG0WKZ3rBOpMzrr8eBQRl6h2gxU6jZpij+3zs71kxBImtJqHLWc7ZC+NdEpdadLHZW8zSKrwJH1BUxnRC+tJoU6rRGTl7MWjfWsjf2aWDnBC9fhHpNxKGFOMsfR1OgPPRdCW9pmiI9pxg+knDYyisE+sIVnZRDMNohL6ib7RE7v+bTm/CgRG7fd3G0C5LZ8DQ7vPAYreYwS4lLgq30f3sOo5gHJDfmbo3bzlO9n6U7u4XlVAZK/QKwMYOeyGqd1Ik2mVbBlxGoCAAEAAElEQVQBs/75zi68bPtfIMbjXkd9Q9SQRnNSo7kHUUy4jpQ99duQKewBw9hHnz3jq+n/HmGgvWyMmKf4XwAe+12dBYlcrN3k/O8aiCixFvF/WeUMb7aHpPkz9DiuAymfguN31CtquJM5dxG9UR2OczTpQS9XzWldZDlBRq08bhxh5O5ItaeHCe7cIHtPq41lcl45Uh0Gbcv1VAaC0i6UJ6SQHu+E68TTzD6Y6HURZM1uPtcWWQ3wBHfUFlgX6zyDFwDsvt7xxv7p7/y7f/hP/7Pf/tnHv/7pT769v6/3z/j8+n6/cz/h7RPebj4ec78/dENTWO2zrOGY6zVgdHoYoQ/P72a52gEQHaDe2b3KF71AIrqaLEqvkheNNuvii8istPfTIM70jNst26EvLBSRbq3/ugdovW2uUWXp3BYuE3zdhUVMmBvk8f4yqmo9QgNoLTAbg9qqNaaK4tL04Gq9JcwTzGKjild3d10v/HDVx6s/9L5c9eHql64mLu4LxLmv4iUzO7uzKu4SxEhbNWGhw7y5ut2uWVEGf7loDXY12HloNbO6792H5p6FyBeM5zxtx8Hd4TlSRr5oMVZtoXgxl18uvQ5ZfalsoFcISFTr2YB7b9UpH7W3nyHx2AUw73x9e/v20+O7T/f7295vQjcH7/vpN3/3l3/rD37hs36KUY9TWBW7EDsi9+Jqes7CB8BW8F4i6OJ8wcKV7riRRo2ZTTkOBUr4olfmEDgu84DxgC5fvC+KxEwHhUMAhbWZV6ZCKzZ9DJK+ntFIgchgYMnTMAd2WswDv1v2sKWJdKBVRe2Oe7o2aFUQ9Y7JZmiDM/aZFk221cnrwupMmwal9cyRgQN5Fw+4MMeq1SDIfRfAWm+KTAQy9fSs0wsK7ChCbAjCrFDSZQqnJKI2Mp4DB+ZZfWk6/J5wtjAtKV214Q6rPKxpeOOlvC9krZlInzViPUAFF9I2WS8eieFFmAdAUev5j6yZAQA18/Ccq/yO2wWlzps3v8GTwOQlKxZ/B4WOl+URisPlfupmp9hoZ9MibfBkWrmxh3yHnW+qAiQZjpdEtKJdhPYoS0YlzBeCR6cICtPrBsyIcZ0WztW9aqssEBqmcrI+wmvUQQgrDydP8DfD7aNdUqso+gmLFwI6OqH5+30B6OyESUXPDjBU4hGh4Th8Vap7rZunulxLsIvIoGXBg9O4AM+Mk1ATBSOVqhBK6cOLpbYydoXlelNnlRUeW4xinJHnb1TpUnTbFSoxemPHHlWdIHSkHDgBxyUEUtKlnjupW/HdhRZql2kuD+gcBroTOEI10lDqrMYHCfmTcrtRBWCLuTHrwsrweZUlxijSAzPlaRnrYFLjRvX/VHes8yGHK1Djt8fDFlmREV4zBjbZh/DFAqeOd7IjlucwCBxBZfrVwMVRZ1dQb2LzVsrsPFQs7yQh7QXth+DUtD6zFnKRUbV5bKJjy+qOwbFilqNgShPTO4NaLhRXdNoXByiwG+ykC5N9LupMi2zm/St9HysuVQhh6BoVe8dKTb54mzo5qJxjQd6vUfRjLoenMu/ZqFnlHJDGQNJBrLie8soT3icORomswuVOVyn1PTQvouOzB8UTy2ILw1mnATHgQNiqmJ7bTuPh9j2p2ZLYrGAC4LHYIEEXWoEXCcNDDiw8Yc6imXQIfhxJJJlJSb61ljGj3bL2KG01qG7TTpnJc6quYoNW6kiujRxjbd1mxwgrhnKCPV6U2tXn+zAywC5vrbaqTTMe3ZV8Hlg7hj8YDxJQ0Aq3mRtfLHd2duSNc54717QPzvYklUUjWs/CCfIMfBl4n8vEFsmX9vX8UKWpT/tav8E/+9//vR/90g/+4r//y89v/Xivz9/P3o/HPZ8e+vR57veVastO5rMs94w2vNNs0RiNh4M8/jhV2OYKRV29J3BlLlm1fHEzRGG67cQFNruqriqgO+exCpefuSMcxnhN4N0pulsdkJgMtlmVtiv2RZGoRlygIhHze5UV/FAn5dImM46kFBZLeqd4VeMS15t/feQEMf3PIEJhABevC+zC1boECuVmpl6uRndVVV9kNXj1y0t5gxjsN1PaM/siZToGgzTLq+UcuNkOoOKOwyJKqhUWbaq/aLMj7CzimEiclR7cBYZ8iLqg7nJF1Vd142p0dnF4Gs0RHA0rsUROWlG7OjECW529DBrMlhbvj31fvT706dPbd58e91u9YR77uOqb/dxf/Ur/zj//df74/U3vfb9oedfqxTsswrhpI8n6uZuRxT5OpczmlC9aBIhj9Co0cf5ezH4XcN4VqpOtXRZ54toPMGK+sLAugyn7BylyCsW7giYFnrptMusUTjKCsT5/E9iNm6riJI26TA88QEXmudJa+VukuIOD6WglooQxFbXCkrdLjGxzWO6INYoeOEmFKMyXh0Nb6DoiaTLsYuKxgnGFcV4JI7KmKhJ0lyyiim3w7g4DYN2DERic54WAly7fpC+DWZxqoL1HHDYNEtSlgi631u6hNumbtajtyogbndht/6f1Naxqt688MA2AJK9IC0nqqlJ5zIjQmPZAuex0eW3A1c/JRF2xG+a/6cqyziuMFF2ngVIMz32MNT4d5wLVHhpNtuRL/0E32sLRWcE6ITwRZJ+8uHa4N6clSiSx1Gw2WmbrDG2xV4J4c+2zErBNUMYHJcKBpxoYGUAHDv+fB2kwzJCp740LlmyWBZZbe/wLtXvEenxGFE//WpcYpRNo0sOMqsCqVVnG4Ty7wys3U5B0g2p6oZMIlUcqPOtvnkky+Bn5Aq9isTsNtypzoemfKHf2CtjuFjbnOsdmjdjZImL5RdmtwPenWyQxpmp9HLzYaQ8YTnI4Jp0s+Fpa10IiHrdYYy6kC3e3cn7GoSGahs8JAMN2ovTX/cJ0avdmmyaJlU6Kw3Z5LkEV+UzQZuSNES6ULDEuK+kVm9+s6DxP0E0SA2dXSEfVaVITkN0vCoqCULS1WM4/Utz4HlGFMxohDiIjqVyv1Fih0HLOwnZ0Pb+Pq1xLTySrtP3SGMcA31cvRfPlTM/siacyKRxFXLpqC2DT7AbqdN/gjKNU7UgE8qeryELzDwW3WElN/gUAy1WSygNdm5uKg5BrRRRXY2qyNC7IYYmGCuhmW3UQoNkqhIierCYoMbt2OAkym+LNsSpv1UbBBxEDKFvM+bVbcesmyXnQRfST9UTY4OhlsvoL4YgA38X0nITkRTKp+5TPIB3Bh6+uu0YZwXCiK6Z3QIylcy49mrUkj7ts5TayDGZBHkSQySFX2A7HHE3JPrRmj9y9ucy2+RWpvX2ZKhwwsRTGg7qnYZAwXKiqYAzIznnGLiNl8qcxYW/8xb055NLtcIFgoduknPFonosF4q4FZ4RdvvB9r4/40//17//on3/+y///zz79zf329v6zb99f3+7376Fb+xn7Pq6jfRwjrM4zIFDVPZmmoMU+F9nsuGCUfShzjooqNiugIpHrZj+qAmzzmKcNBgItyWHdUljA6gyTIopR2BC4bV0SZGZIsL0CS9DuwyRW3F7aezFbHrwC1newQWRkx/whxoBDSVuLTA2mJ/MepxJYH8guoZecBhrbK/9sg7tkysbiFrfIF+LDhziXXCQbRVQXW4GOyptaFTqI0m74pt2EqAwoxYe+PCg8Pv8Mi18ybCbc8A7RcDGArIO0FRW76+XiBb2wX6qu5tVbF9Aqr0ssgOx6UdELJbC1QaI8nYcZA4F7i3pfLTzehq37xnc/fX/9NK98+/bxCTev+Rr19u/8q7/zd/7R9djvoAu4eLnOI/HisbSMpnWzPUXvSTiggp6MUoMq8GDE2geLMGbMgGE0EmOIWk8kwqC/NIdbcZ9NmPFZGSiweN4/w92l0zjO1Cicj2JB6sJAJ7ma/D+luGoXlynNrLJeYYSalHrGY1byKiVbIzmuy1qHXfDWc9gBaVx4pstcdauHEVmuMFluQMhuMtloodSxm5uHpGFC2RTX9OjdcHTNqXPp+gRAYcCy90zAl4s85VAsW0xMYChYQcSAzzAxngU4qFZVdC6YL+OgjSqh0jGXsoliC8pQd8GKCNfUTRlHjRjTAfRUKSb2XCCCPiSFMeiFA+tL8cpeB3ti4ynSTtnIE0yORJxLnF986jZNJmS1vhmJY1cCRHLgpLoJ4fYHELzU3uUfnwm5CLUBYw/gBnAu1+ZYzz8pAmYs5ceiXFlXWORxsBVg/Bu2PqUTpr0NnALhjqi0kZGnI15mupXuACJIWtAWU57Ls7uvq7g4Mw0g2ykAjB2CKVGPQAMgZvzn7cXXlvxDIy6rOwbCTamBC8aYqsje6toXCHvn7HnhqWv/RqJwJk/PdY5Udc7Y+ZMChBajbBdIaUjrKE6dHUJpg+MqrilhW3AEIlCsaVGHH5IEN1ti8BScTL5x/cSRv1kT4wsbbZJ5qoF2eETw5U77QD9qLOX5EaQKWRfTJOJX5Btacmnr88kVa21YtXXigqOoHSaMYDzxe8jGQmuAw/3BnlBbgBEr/7v5Yz+9jPCzgLGiv+CdEAZuaz3k6GKSMp5lMxSXfb4I3nwn2DIfLsQAnl+Fgi3+rWagxqOTezpaqHd5lvsI4LbRryjQKebls8K6nNXvLnudyRwYojP0k984wlm85I478C5weRVvhOxeqrkhENmUh4YgUSuWdQmJjwp4vGego1zI7UnUxYIabYQMUwC80A82/rc3kh/3F3Ig3woafCG/oZxS/yz5ucC4KVO4OJ2nM8x0M8Cl95MbhKKxNF9+WWdo+i1Yw6EO03eQV+g1XxyzLqdjXQJYjzch0D1gQ9zjbbwy88l48yAltnskHgzP3bgc7QWjfQuynYVhIRXO2EWnj/EsvsO6l8cxOjecaOKTd6oLD9gH8En3Y0THZrhnBbm1REURWiNVBKtEjlZNXe6j5mJnCsqiquviXvN+fz9v/+h/8jv/5D/4vX/z+C+//clorte35dz9ihk83rB3CTU+k1tlSf2NCHHG7dQWmO1R5plpgq88xGKjGDECMWLiUi/7Obiwm/R2ft+l2hnpyKiB6nHORR8nMnimu20NzF6oJkRMbNVAjWy7AYRbY+NyuJRdiWHobWmK/V6y/HGscYZY1om52tQgPP96oHa3oNJ6nqa95xhDS+qr6nLCMDPmkeLTMIXghjBsUGW08aoq6gKarOWOMXXXtZ0HZ93AxQEHrTt4sHhThQa0WI+k40JhH2CbR/WNtE+1FrrpCfkCuhpdL90vVV31UlXW26JKaDG1LkHWyiWanyINYQfhWVDb8qoNCvN43I/F6+f720+vb59fqeW+ffv60Hx9z9uPf4f/+D/4NX4s3Rf1snirelgoGwe+kqD2fvAXHrmZQ2ux0WWaLi2Pa+ayPvCw2wHgD+pWGwmXbStXT8sYF1EJ0yiBl+OAFZqnCTZCY8yUBqJcvsUMyUkEXRbmJZ5aC+2FAQl0S5nqWNWdf2GWkM01Ldvfe0UPaw5Lu57z3B2x7m4BOi4OaYJPwZmYGH5VvrMpcYRSFihZThR6PBfGYKrkVOqI5aKTgd9QoZ+ABmqHwA5jF0gzfvLAn6gxQRzoCuK6z9mDRGaw9miRiHXdzcxSke36x3HE01JtfIASuPtCEWziKl4Xr6Kki1XgRVbBkqQ0gYbQtYYQSbB27ShAHwyX2p1LZxsUJxoeKxY/loCZSfnl6+eFv76gKYl9yohdlKpdcJsWctkB2TfAjSpj9Y+DnbqXpJURYgPt+g6I26ddy6RFvGVyBVLu0QGCB/+NB3YlK+ZnKAckzFhRx27fSP26LmMM9YI8AUGyVyA2pqjHSt+KAkpUh8pzcUdX2vIrN2zdVA1iTrjMPRu7jVg2FQ8dbLvasMTR4ygQguALFLlVFuu4NbvhIsn2RjzETaRgLgDCEaWuOpAVvBBIUux18KR1XG6cR+yVPz5TZGa13S6QnvvdCK53BtvYajJcv3XXTmv0DioH4vxCkajTLVTSopnCPsC/oXxbsdqATHYFt7U9gF2GFSU1AhmlkBY5HIHqETBhFsKxGAJwGwrOHhWtQVAd6bj5zePe43Ur6IID33b5IbLOkS5X7Ip2pSSVl5v6W9CjG3Qh0sCE8PGrdpsXYhpn3MpEhXZ8EjGhGXazukbWz3CsOMd5wDkVOxbDKXBRBXqMSU6B5N65rqTn2AcawlBgHqhw9iWXbkLBPvA8db7cWNOAnuiMEwkKu0PsIDSyY0/FE1ieZFIqXo/84jQF7kNIev9IrWsEkNdCGCtJAWjCsySSnNH+DU3n8Y+i1+S5CbcK0Pu43UTDOc3D65sdLyZADYoUREzxOuqGtD6+Ulb628mxhBM5eXTf/PnrJXjuJmAE0gSlQfWAqGcHep/8IFBlw5AVeWZFViFHiJ347Lg5O8W+fztJYZ6LU1Y+8QfIcm1yUDTQSdNXwjWJkUWzDiwVeb6jLKCl3OY5W4hKi7gObEX7tSBSMGuRSHQT5d7Zt6UWdRdLul/uDx/35Tv89Ot/9PrH/8Xvfr4+ffdfP/TW9+vj/nS/fd63vd9n3u99GEQ/YuKIZ0ydGZfmodIIqgq9daNotal0bLsLlyU7oE2RtEJxsItBmnnLJwjb7FxXNS1nomxtnpCKMzHsTtTLowEtak2KgAEHbWtxWSVUoaStLHuKN8yRH2zY2XY7gE/kNWu8tQ76FO2A7aHXBrnFqy+wj1lhzUO7epwenYXifrxePnS/sD52X7yu7qvqQ18fPZ5QeDG/IdhLQaCaIR7M4ifwI8KygaaoyYumVjVkpvuK1Z7nlNilTCtE0bDYbEvYDLHWctVsvrBeeL3gumCP1WrTJh7G7S429XIBlyOLI82qZCVdPSsDDLV7L8Fd3DdfX/HTbz+8vs377N794Z2t15cffPt7f/r3v/qlD3hcQOllb474suz3fph9I/EINACwQv3yIK6bGsxmNk+5CZ8s4abzxgFb2PGkk3+EDnAQLChoR8qP/O8aBvV7HRHP9AKvwkE4RxvAmj2AFTibwESWxXILGp9dFDDCQKN6jDTae0cPJ5tRk1e89SxicvFWS1LaSJI0kH0oRLC05PhKwvC4fXxs0EjHNEDDpdj0j8yYszbAK73qyR6hsAJpHMpCM7VdpEoEqtmq8ji+wFULFU0EEQr/1KLxMABl+Vobw0sVNqmklL/vrJW35di67g/XWoZAge8AqJbVZMPCVVV+ykFXpC9NvYiL6DPc6FEEK7eMNQuMwSAME8dCkK66a81PJaBkGGtD+mAR1RCKkepqMdq1v9uqUjIaMzZZYDQ+IBrPbINFHaviBqxdGmjWbrmO5sTQN2D/UeUac+sGa5TeebVmqjwRbPnP6RH8ZSj7B7sfqJU3ADBpCQdvOdDcbgKsYXy6D7QbVjWQyVoeFyqTioniaVPN9poQOp5/amJLxSpsp7qt4qKBy0mec4GduV5SaKp2Weq14Xkp3X82l0c7H890l/J000MX8RPKRzTbbe8bTAStp5/yd6+k7XqiBQj+iyg9/C49vB9v1EMd8ahXDilWoS5dWIQdWI/Te3ABC+7uco2GD3bIm8YeqyjPPBjiwLYl1nwWhP5wZaZkrHk6mZaJfiYhPVhBac0MhTYE1qwDLTNlR1bryJhhDIPn8QJLcJbp55KQSW/DvbQxWtI42msf2FWeFShEOQ0Q1SXPG3rVrrGJsldbBEZPDi6JVBHCOSTT29/sFuBrxzwA1Frg4W8CNOzmhPKrLl45voYrrB2BShrtiKczGI+suhWtMyHssx1yhWvcMWPxzIRWDodHf32e9iAOGTth/DnXLKeLGUuI4u2VchXPBJQqA6Jnt3hGolxGhxVxMOiKRwgI4XJpKvB49bB44ppr0QgIfSl84Lzel8iz8uHwDOHKD8ZfF09uPcpSH1z3YAg97CRvlAvkLou2OMtMUQK4sS8QnifQUyXK02itFsV0rkY9PDyRDwswQ8Y4NWxAPwibNtCvL80T7IUC7gIeAYEow6E86AAOlwKTFImebYQQmZWwi5J9JEjwsm8knKathjpymnyyQjUmarTgvUAPe4XhTpfe+uWb+Xf/49/5xd+7/+Inf/H53/7i6ye+v/Pt/ZZLynuZOVKOsHNj/KFBcTwNB3eFieOeAmvj2yRmIl72TBLVZ1iQJTW2VaytUmXRRENKKAi6Zh0ZM9F1PYs0k/kuaDzCrdP/e/Wxxyj9gQ15gLlBAhdTBAYZk3JBUuln7NJMaXVfbaEcrHZxPPa6N3plsHi1RSPr4zCBHJJAJNzS6r4FspFF84ViEy9VdV2avfE/mlrzzhsrOB30Dqy0oBcN++Ll9gO1y5mRCA73ThL1F7MOtHMJHB/cEbMt00OVWmWZF7nkVqlY18WPL/XxY31sXs1uFi/kxRNj0wxVW+ZJ2f/JTsmlW3C48rQKBo/h+/t8+7PX7z59vsH3re/uecx+/u7b3/39v/f3/uiXHvp0AZe+DokDXabMSwAupnHHU5HzbKBdf4En2JlZdY0GIRtT/MYNDGy4+0DeFRFysD8XyggSssKGFk1bDWn7YLGC4IR74kFKa8gSBg++0+WFKw/fzw61PBnw8iHEwpXSBdQI3Dn9TgrgDnyGJ+AcHKpOHQdUXVUtN80WM3WixZkvJIltnCU5BncrUiIxinPpOkdGdXBHulLdcZcj3cKuJqSqaPFf+e4dbUoBOnnADX/F/VzW01DN5bJ0xoNjFpMmqxzaTAvYs81SENhWEgIbuCgQlwpVS3aTpmOZ59vRWj75iD3/11ogdmo33/WU6ATMHx4umqkvXDHxyF8UDKgi190UPZPSouOGKitcoYuyHKwo3EGHIn/1kUX0XIcMNe8vC3cK8MwoKXEENM6upHMOnZ9W64UipyU71qLleiks1emTnWQ8OAk8o47vjOHDTROe8Eq7sic7pPQP8L1e37fMOWd5KBNLOPggB7PB0gVcKqu7zJ6T2fudi+ohmK6+qmu7UyW66De/kVKAkalTAWOdtMvNitkpW3tEKWilqqW5Z2W3XzuHSieapv74x1oNafzWMGWlxl/nTxy5G06XmcEhP9SVR364KI+r517GTc+d8Bbvg3CcGuRi3IEIiNio01TeSVB0pbna25i4mqqxjtq1yBfBss2mjEl/OeCjPEQgfilpII5E0SF04D0P6I2b1Ck9PVxT9lT3jadt7LFeNO8AWpRsTMQwRmY1z++Pys0fDDjtRQrQcooT4i3yZH8Rqssn2Wu6CosbcvdiU/3dDHYil8CCGVINwzt+6gI2bx4+mTbmDXRHwZvSPQji67a7dpdPgVrpy5RaW1tLcULe7SnmJVUYyui5uZ75zBU/3bdVQsXw0+YOvaHB2jATSp56EJ/Kw5sCgwRQCTVWV1kdva7YsRPMWc8iK9GiPC1vsEdn9MK9bMWG22zJwTPMTFeq++MfBPBwlE8IXzg3hAX5oSIEfbrN6H/OeMSedIbQlyGpDGnALWEmrjONh9R+O/6nKy7sUxZm058iP9UYkUc95iAHRoj8QfNXZdMPzClsaaWAyVduVdGmsjiOEn6TSZEp7g0ZaJLx/UwK5Rnv9h1r0OXq03HA5pO4iAu4qoh97e9/849+9R//z3/nbx5/8dO//Ul9/sF934+3d07dlkRtC1RvQCP3q64Kqo3p5OjRBbGJ1pReVVS1aqvrWX0/InM98wz3QjY9OUnDb6LWLt5KzxNLJtDbVM3AuUVXo9qWNsLgTrRURjXMKGgcFZiTLBA1p9eUxstPavbchZO1eLmMLRNafgolqS3Acu95vp+JOldMCIO5mB3de7OHe0cGI6XUoo1XkFFzXkAVL1SRV3ux4PJGxSTBa/FiueDruCdJsJa6SLuSUrF8I6idkde6kmgMURXmLMGBdvEfQC9AszyE+VL7ofWh+6vGxxd+6OsFag7bbR27urdY1cBV6g4ZlOGgG6A0KHap9rEep3qb+9On+/X7+/HYW68PvT929/37X/7l/cf/6vdff/TTG+8v0xe+uq/hi673Jrw1tBc7joqtvGG634gnXVZrQbK83wWb2Cxbrj2BRj1jxzJE3IGVZNFJxvcdFHyb9gtDK9KntspnjF8SjYVsPkqOL9RBxDb8CwjWUpPSIp2NIO3tSZbVeq+Akf9dirfJ3zotI4Qr2/HcVrRXYqNaI23AW3rrKe6x/EurwtQeCO9ZW+54Ul6Q+06KpdVjNbsj7mjuvaObSHzXYlm6NfBGhTGmI554DNKK7pFQNg6mmVcJwUlGm52qC47vh3VqT0mmdWcBFYmihn7C/hgtmObSBOlpob7MiKilMmFRrmy9TUohkt2ghBpxwD6/O88YgkfOak/LJiatTRZixOitCE0mS33kCOPx7jFFcGwSbkRPLFHeuQFm/K60HBAdVtgHfFVN3attNLIeBSRjQ6qblc9+VErrxJ2y41lFW+DN8sZx1wPgyeuhwijzW4EeZE9hLLHiOB+5OnbPzWgXfOWOWeGZf6FD9Kwny/L0eQIc2dqUBmupMasvN4UIwFYx70iRuhtA1cK36pIFuqnOCiwjAh2GHnDz6WeafrTSu9bOof/A8tc1irlHrLEnK+85IqYps9KFkQNXQ0MGIzmz2coME+myqYgd625cq+N47EQY0WcdE8pmiG6t3I6jEALb4/jJLrebc34Rg5HF65xaQH2qGv/w3FlCrRRcJ2j6AmwsusJgIHWTPaMOAF9Kp8YdWnzmgRwjJeKoIl/G5t2Xh0+tIbXrDOwnumk5o+l2B2VLL494JjZbO10MIurJ6ecBZiHT0BJQC9m+QjwZg1rogj9KqM2cWuV3p8sjzhymcZ06UYHOKpW3w4QFa+EILFpWV7mxAbIa4ABQzh6ZnnC8oepCphbCwuwpRDeVce4d4shhQwJ7+53y89jMHcyIsnJXvD2vS2iXaiu0ytWFYyriuwNGXrdnKOc04X5E0ro5s/wkbZ+/SJPu5E4NDPDompgTltj5RN9PrCvDKPQMLVgMZvE8gb5TUG2SuwCzQq7ReSbHU+0LAEwiioh7GDFl8vYJFapDhap9Tk4XQYAmD6osA0edIwCglao1BWK+hiOc54XT1nitt6V+PqfPTo6wnOT8ThUng3EVcAMm01jtlwufCjWLXeUtU/Zw6KV4zYt014/f/r3/5B98/SvXz/7tz/Ba7/xuHu+jG+C+yyLAFXeu1RjbVN6mfWNOEFdadBbrIgpbpW7IxXpl7CcB6UsuMGNlUGPZVJnXMEXo+ob0CLF7i0Qo0wN72BbJRuUFLIeDkgaedgLUxykAOkqlHK2oBkoe3/OEWlnNnjzlk1XWLrWr/FLQHGWDeihYsbzVUgYvlEkrThburfbe+4G3+36844G9HzP3zMz7Pe+Ru96pTXsLrnW68rt1wnqRtjixDvq0zyNs9SUeDSgdZwLtcGHRbIKho2VBXd3NRlWhr6puVntLa9GZsq/eq/jhqo8vfGl21dVdUDV1ja543nOryWp1WTfhwy4BD1uJWJQlzeC79/npz94+f5ranrn11tpvbn3+3X/3V37xN/H58ZmPr+vxAf1YrF4AXnQ6KhatmO6qWuOZjEw2lQcdcNqtoxsfaTJeE8mOb1XpgMI4ArsDanXmqOzecfpCMoUOoCwaJMANnuFxJgqTjEEuC2tn7YBzha3z1zw7YXLCKU+uBmVXEZIR+6RU9tJsnrhvH+GiiuuweK9cPd/izKz2fbSje+ZxY6bebr3d+9B9a+bBge7F/Zh75uF1c8sVBriXuPEQZbvj5Qq3OKKWj8c+lvfiMXgsZ/AwLlRSZgRg0tUD8Cx6kk5QJfF7VgyRbJMesPXwlheG6+CjEha4A1U6KJ3tRmUpJOFViIU4RuTmqxxS6qBPWJvI+uoCt+lfp3YEKjbTRFv6Pbu78o9guodoSqwog6IvN3YuGuQQ40VBBkv5UoCRB5BMT2oYBSl1zAgbKsCadeThf6Ex7VmD4D2Z1nTqeMY9nULPTmVg/s/mrEcbtZ6vyljIKZUMYQWYM7/wzNAypOcU6QrE/zx/ejonCAe9z3NkUMB2vXPEeYWyTmOr0a53HNKOpsBbMdp1WW0VutmLl4qvNGwcBOvIE/B4LFooMnb1QJ2pV79XnToCKddP0oqZCnA2JK/nvxbibmwxnyfSjwuA3eNd0qUM8relBqU4uDkYCcZ4fQhcPl11GABFdY80DjhNi/GJvWw+5RgF8w32e4T5Er+WNUszBCs6YufnCoaCyeAONGVnCNewyd06zSGDj5vXlEcLUs8bWD3lH1J8El+YexBbiwboFeV+WivZACxwDhVZuX9ZXoInmK7n58DTc8W/TZw8mKkMm+Y2krTDo2+YIGFcAOZAqObMkdqbE74AKf5LYGdg2DoZ7PqCI3BQPVuPOiAtDtEnhEsUjzLeNn1+mYapwfK6Lp2aUQHjbVhjnxMuCV2UTVOSvlSnQoMY9vSJaSEbdTKjxzYnSRSMQhGs1YDa6pHI4x4qR3HEQOPgXa4E24fJgSR0ugEl17MHG/Pwqoxh+OATni45GsmjQdXhi09rD4md1hgx5EiMTKlcdJfrIyok+NqasNyhGjcmwa0sS/bPcDI1G7i7z+LcZL1xYyt/7bTkbQZbMb72aLmfIOCRPxymrE5PkDI+fJB/LZ/SstmoACtdvEQEtLMjB6twtfF1in0aVBfZovtuT4vYQEPi6gKv3qsaqvq63z5+ur/7vf/wx7/1r3/pb7/7i/e/pT59fdf7PY+5ax94v3fJ4e65++aR/FzHKEL69md3ZflA5g+orEoxkNqFqueMVaVlSH9ACbW7De+tdDyWN96Ds7WPjBN5FimvEHF1Ws9Ncnl8ptzbZ+WSC5mYvydDVRKUDrQxA9o52k5UzB6OsyK+n/u8QYDlbhIDBiQlReytxhJ7Q1nyyPWooW5Au8N777n33nve74dL//u+74Uelv0s0h91sTgFXo0GPtBra6xOQPTOYyWEBG6Retyb/R6yGn0O2FzQmOjUOsQ3BZdk2139AhRR9aHQHlhEtZ34X3ixrq6rulrXS7H2qrWDaaNJrBvza1V86S7wwrTM78D8AHZaGs/4A2/Y7z/tp0/3u3Z23z7P4+362ee//tXfxj/493/9vt7x6O6+6q3qrv0IqyFo4Mil9Mhko7dcrTzETZ6S5aTvZAAUD9lkWRWoEl1k5KFtTLl1VEM+182OKyufEFCa73M3fq7kAY/bY+X3ohqen7GIZOOiAVK1C23cK7Q1x5NO2zsOCeS6jiTJ2kKOdae6nFpxF5TVA3x4NcTiFu8bI74P7uVj+RjMOx6j94c+3/t55v0z3h73Y/QYPB64bz1Gb1OPW/fqBnbnHoxqFo/Z3R1phgPcu++zI94rK9DiWiGMbwcOc2nVJ4lSUwrku7uqtByrL6yJj7FnZndP3e5qlrLoZysCEE7CR9isyA5gWV5mEexRtzneyRDH4NdzMS5THVkt795TtwTTT63mHOUkKKCmik9cyUHKQEZ7ujBo8fN8uJJyz7rmwp2aNu5mx25HWWKCHORD9CSl+KiHiBG2qUJ51jIC+jNYZzFH5egiQwzYE0KisNDWqeqO7IhRUWRK23VABCH7/Cg8cuUE4vzyyCoJfBmo4ul+/IyiBoF9aroKtupWPqrBeS8QWEVLtns2LJBcXddpjLheWMy09VXEEJ63z/FaVWAg82KyzsKtmAKyqnC7SKmgciqnYblnkGWJhgRo4pmubBEzAQ/e4KinKlkKOADEQa+JVvnRw8M8kjhYdaEsjIu4B6fxsszlImttMTeoruygKs8cHx2Ax6Oyos9vw6NawNVeiMEzFk97vQbv2LSLcplf+S+UlxUFYDI6hTN4/OwRWQWxCu2chOUTz/cbwhG08Ixy+xoi/bgXKx+7T7J4ZTXyQWPcGNpBDzSbam1Pb6aS/IyNFngsIm/EWz0FZDCRwBmFN10JOsiMWiaDFsQutGZkn2okI/mpJgeMWIB2iGWFkg9rG0qgrBmIa0mKx3R3gRoO1TDydcIcXPs5UUxKMVZyXcqqVslTT0zx6ReA0cKLT1Jlmu6QZmf8fUlN51hz3agYrM7G7Vqll4R3f6Wgd+gF0usY+k7vjAz4SKNMtXIOsPYcs/Z/9UTh4RdiZ7ZuLMIyAM6lbvXkVd0B32CgofScv3oepxOhPfgUGCL9oZuN9KoZ9PI1KMYNyj2udo/D8envD2YEQRwHSrO1z6YjGheAcYQMOEJhWZ3YwAN1mbCsZaaZOqcmW+9TiQwJCVfRBWzTUzaTwsMgyYPYAtHzmW8//p2P/+I//RN+81d/+ed//fV3H2rq/f70/nnnxtvjLpK7pkWFkazgDHtPCxC95pe7VbQDUKEKfZFnuR5ih+GP6UE68MyF5FX5C9NzvE8oAi6hY78TlL3gJLo7vmkVMtEy7ifd7Myu8nBNWTAkIIYATF2RIKTyrniLe9pGH2dFi/ERGMBntvnwdEVRZ2mAO13nWHd53BUzLbbZU3y0TzsrD4Sm5yd1rW4Z3S4TDLhEdp5TJYTcbrA2pWZ6Rovxlg0cwobFahXWMIi9tsguHZUwu3QZLJMKernUWL5Araq9Cn3h5cLFqq7rpV4+8Kuv+uPL9dXLdbGu0tU5iGfug5cblau6r7b7nhrrVqUeN/P1wXnX432//dn9+e0x3Hv3/b0e910/+P7f+Wd/n9/M7F28tkp1LxuE56ZUsqxaKmUlqnSGguwqZSQ2ItC2HZJgWJpyvyzXqcfn0sm1vqBdtCuLIwNw1I7p6wtPCENfMrq3MDjJON1bYZopfh1OUDTN6uxZNE5YVZGQDXeFx84db4UVLRMTtBOun3PoYye2Ee3wOqtd3Lu3MIt7ec/O7iwfM/fO+2JX9/Bxa7bu3Xt5o96XI70vb2nufR/do8e992CF+97HaIB7dN/72B3hvnGPoUwP8T+paBfBCmoJl5AOsdwjB9VaHOrH1xlccvJEujez1q63lJFHWEdsXQGDsDvLMDfT6Qrmg26AM+syQc93dlG2uPPGFmdvB+B4Q3s/lJf3uoD2B3uiRMIu2RPdoXGNgFMHg/N/GpaTFK0sIceUU6YiYJ2eSpmnVtDFwLiKcc5bKFyEoH0CqTIBExdsJ2IcPMsJlhEJEwjODdhanJvhSg5OHQXPKg/oP/8SuFN9wTCfI7v829IxuR8npMHGSMZ8B00gFzTtSogk6W0PJ2PT5Lxb6VNesFQlT3SrCi1cXW6FnTKIsg5swY4UyYy052qeIxkCbKcWNJ2B1DfTHbosDAv4dG7/QjyTHMJTP98x6ZC7yoAQzHISq7P2+bjJ0F+JNxLHFrVGIzM/mOosjiUCbHrpHxGOQ2jjk1XSELPjkTxptbahKpiDTSGlE09dCdE5xJlLmaLNZ2sYZguQMuv8qC8qfNJTavkmhTY3EJQFtqDNMvIOX1TpJU83nod4rYFEmReUb3pAVlk4tqsRZSdipbQv8/xYqeCdQLZnOuGIirOjEu5DUniM3vGkUpLtqSpK1uc3u05LTiJ6DV9Ni2iR4OevItL25JiNiydgdNcsUVWGakMB0gPpcvSGf+vpDf2eyIMiEISq6jTZPM7nrErwie4TkIflCCpcTUehn1WRtu44Ags/cUlxYl4fPnuDub4tQOZQQvLQSRnBnJh/jjCVDt7eyO0cmw1F+vLMoImm3/DZc9rphHR7cZJEmd5bv4rNXK+hn0CXKc9WQPXmjcYllO6RXFpmSMflm+3FHP/8tA5ra1XxcfdgorHDn+Wc1LhP8SKNfGxm+9Y5uP6rh+vZjT9QABk7FCF6rZcT/7lQRezh1vwwjN7NmqJFItWWqECqps3RiNrtu3R9xa/veuu/89f/6j/7o9/6/V/883/z375/u2/V9+DtbR+Pnfuw7eTgHGIgjW2OYOQ0joedjbAkyZcXQTT/XaAN9Rs+POEaw9NAGrbhp6lqEDaYUQDbgKiNGgG8WWOWzWy+HX/0pYOijhVLyD9p3fEH9uFTxWR03oJ4uXKuKsFzXTZ3S/tWriY9FD7cC8JO6gOHcALN2jNuAyJHXrzQourWaudYBPiwjR04hzsjrHbsn0YpJok7amKXUvGGdGGF7EPtKp39w/BEdYQjdr7vU0cUI/zRF1JOarGxjb6ufrnwctVL8aX44YUfuj5efLlYV3ulzscXfv11fXypb77Cx6u++er6xR98+PorfiwQD/K+ygo7tMsx8KVULV5BHVMBgZXxiNrBDD6/7nef5tN3n9/vuXW9ve3n17fP+9Pf/sMf/86f/PIrv3tgWu5ZvBlPcUZqbdvfwmPizo3aOO6myaw8TwMvdh/f3F03is9cHAs1fpmu8KF3uXUw3+xQXW4mmpnoYS2YQK3a7uRBFUBPFRqqeUIhyIyK4qViAcdE4QpujXpWu3y/dxYaDLm3wSJIGK+itoWL4oW1gxnNaLUPD9eIs6OH7sX73PtwlNbb6p7ZrVnci731eKwmf2o4nGdBhoDHaFgj6MEF/dv33oEFKOUK2O4AdRwojOftajC3q8AgPlQclT3/mSwQgcZRRqw8Weicbf44TH38PgEI698SOCu4qoF0wYZh2b6hA71hdUj3SlYYF7NepJwf5Vy/yjSlf26UO7vWboG2PbWeFZme8zpErKN3kINK7WNPLoNJTrp1KgSfRx2Se48XmECze4TQgAwOpSKoKhp4BimbmvGp9zmS/5OCBJWVRKXs76A0BlLdXW6typ7ClpMy67A02RyVd0DGuE7m5RyJ9XyKwbLdiJy76GvA9IykgRg335TQ8MZaXPTSHAdv2z27etyCqlDSZcerYjv1LKmp8ZvUlK+yh754lPIe+OnjiZ9qIXV1GV9NuvCH9IC2p6Q8b+2hVd1IgY9BpFwLs/Lx/H3yMJRY0hY5Rvs2Y0quzKiF/bRxtASpAI1nrt+O/SVkaJqWr5WXbEX0403uqtXaLtdIiH9aeoy0cqcIAzRge+aHO2JjtZHeHOJznSbT0X5BPhZrC5dOiHv62sOMwi6JO904CpBWRU7wfxeD9C1m7SzqKCqswLB3j7NJhWDavZVs6yWXIlm0QSHOfcpX9X6p091DXBv2fOna94hyhJWqCzN71aUSdtmXM7RQxI3nljsA1T6hRoU2dQaSR4z/6GDiJYrjjtQxbPGUTBXh1Y9lugk4FRNI0HMZCRpz6mjZ3q4pfZnGzy8MPw56s4zhlhIG7ZXWk4+HUKZFj9jrSOdKCWpwkwnHNreNxuL9KYh4/63ju4+HhWsy5AEjOZTE9mbmZN1KM+t4JEQ8Dks2zM0YsUMOn5QKO1BRdoWkKVHFnqysHVgPtaStdcKmuzf/PKbZN0Bl3gT23M7ujkoJcShguySZtvKnHGu/nt8TBwVzZEpyz4E3WshY99Yk4eCIMx1VPZFkjRks5KRH/BhrpFFVxZYiM04sDXGJV9f0LfKDXnTz4zff/cF//Ft/9B/95p//9X/7/hfz4fHxp3t/vr/fz4/FizSXtMUd/7Lnysz1mSQotkPR5u66HctYvz+5ciCYWaty4C0UR7jqnHVCWeWymBZX1XEBAVSNmSmSuoVitVZVQI+9BrS1ukvt5YfbLukXUa8a7JCaXYJuoQq1Uh+xluDdmz751YFi0PKWuDqV2hLd9IQMObY0l7rtxsUqjlB2UMupJMdvvqgdlkeXsAXuyiPRnRBQZHS3RUcTNWanSNlTkcKyewRJVaurEK59b4io4XRHjFajkTcjsAQrM6LKpoQLF0ulRrFV7EsUMDlo5q4GfTXRPX3ZsPlD9164Bvz65eX15fHtp3fhFinM+3tEYSWsAW0bwMRLRpqdrtbNKdsQvs/L66f99ru3X/gF3C8fSnvh4+vb41d/9cOf/bN/8N//P/7Leb9fPrxIc9eDom2ba83j0mrG2zjhBc2JmJaUAIfPTbiKs6Ojp6vBIyQsN+gMUgTQS1VBp+Kg2jbHHJ4L6UKiar4YBBh/3sN/LVDHydLTrpFV+HwmUNKhitXxv2QNZ3XVQ9BMoR+FSyXoHoJpFy0Q1NH9V0Kr0ZTgRfSiOJFpiHfvEaibU7I71wyzm4/waSm1irr1rJ7RwfFus3Mrb8oq7VqzWr5wdVp4ew4LeRwgcO+2Z7dT5Z7StgTVbUf8gdqynfythPNJd5+1gorMgx43TlZ3Kquww3EIq8Vs0AHnuRoa0oKHVGLp6QFl9wmI/XIhp2rZJZzGoyPvkoDKML/AzVqckwG2vFvLvYuD0v9Ime6iWNxFZ2BmN2xlchhS+0i6yvHEAq8KlJSKEeQYYDqfSgne7mOxWFRk8jrwotsfyyzdzuJIrgyd3Z5ySDWzRXq3SJP6Ys6HGI/s4LglE0cDByQaZewaY6+qso+EYSecv+YqYtG1KJafeBFHwyvtcptdtE2TLgEWaK3zxCH2a8ITak8pma/oUsstvgm0I0JAMgODW1FU6XJkULtxK3FrtV4HUZ5lRx6af0hZqnimuSJa2C6s1MlRWlfaVnlVdbxFG8jypsx++L8Yg/25dspvlNjHpn7KyYqW0d6hxiDTQtWC1DJKAnh1lGeQ1w5G2xWLHz2PLU9zhA5OeMpfWu4gXU3/+zRq6pcKYdmC+uJMbm7ooGPLnLaBO8uuWcLVVUgt8HT17rDFzCbUE33KeiuQQEsqTk6UXIwfPNmjSSX3SCbhrJy1PNOdhQTtw7tot+CJ47HLRNVi2wOQ8urmvYMdkdKYvBqVk4gX3gXbQWb8CdJCSHAxXBAdWuoS9zl0ea4Yo9N75hTUM861eZUjp8k7S+OVonqZbs7wtu8HN0qkVqRCtTO2TLhs4ZbBkCrMhjyRhwiWZEnHC4an6HK7xZrsXqxinB4ccwAzIEKsSM2ZUziasMAU7oh8mYAMWB7q3aCzUR8nW+QG+Hb4bxERz65zvE+RIJXK07lHlA5EWrxEXa7I/CHqRPOkfS1jxLlirWEu2w2U9YnPMd6Bd6CYAzJ+7q9YxAJ2ZqwUgZ7tfuoSMrGW+3d6d1+sHi6PzVFsI3LogCVr+hWP2vur7iVXwue3z7//L//Ov/gvfuf+xf/qr3/yvvt3v3v929f52afHg/cvoD4BulnjQ+GpWkR2b+x4vYdTWq+PbqDWL1EfPGRqjJdyx/AcZXGrL3X5/1PsdlV2ndR7Jf0B0jsLship1Mu91OuoIJULIAKGyndvMhtlpGLNhpW9oLKnp29ESVX2BNc0eiCKg2rBLDUtCW9CLNVwa8mGdsLkmNl7QY/bRAG127wWY9Whiy004mVGete2ttJ4qpyGT0vRkCjPs6p2tlkLTqkKug1MWbdoRsL5XTIgVBcxC3Fukd2KWdvI+xv5opm9bM3swRWAaFYXXvqrLmq5FB636iBiTpDs66quM76KLuoqXFe9vFyD3dd5fUtmiOklUcsGhlWa6aqVtpb1QSNv8Z2ri0u9jr77tH/7vT58db9cjfcP/X7pw3d/98++uf7w/fv/1/2jz3/3Xa9zPai5BW5NjXlZX5F6RkiHdzE1zXqG1Nd/ABbaOwANGgCnj0dqrMkIFU8q8PTT0YvoQDOEVLPbVUs11Iszz2IdqWsLCsDmg3oyxxk/1911kRvFkBCuWXsN7W2pNdP34irT0uzaHZdKmwJncYNc3Id0WJs4px8g2bupLD1JNTezfZG06xiIfayaxiiETNEYa6utkTguX4ntrC3bS5xTyhMi+sge1oJSLPmUi8JLi2WPBdVyWgQx9PhjbQ1Q4Vhwp5ByIZle7DamaGDQ7V8OAkBslXbcuMA3yFkBkDBFbRs8nUxs2kwCFi46ZTnT2oFZxGrIxmpw5upm3SIavnLuEOFtodJz0bnBq6cu1ueNRJ1dt1GLuHG1xw2PuYTrpBJ2qyG0AgA4Idj8+nC+IKHLEF49S1IprBlUVXsUIYxCBefVsUQTKWEp1BYBtFsXN8KbSl0yc3tIUCmeaFKVAgoGajPeld6M8vxtGU5fAiN2LVHaWqL2KkyunkWWrjBt4+E+AAZkyj8HhxN3b7RH6ikpo6ONXbaBXXcyRsoEnNbC/m4G22Kz+AVoSHdhKUEd6oo8ZlRW+9lmKGShq+B0B6mPlFKwXNc7tpBzisMCR4IX6KWLNGXMJyjqqJUSG8dJlu0GszzpvlvLLD/lONK4/HripSUJY6KjmI95BrEDknisar03N+OXfidyO2Zxz3lFjn/MCs1autT3B/YsTGUmInt6N4tncQhAlH8UOgWTe38KmYnJaQVIFI/gJHWQUiwdQyYTUF8wYz1lJFThihIbxa4jRIE4e54Wh4tdDraPrrMqLEb6soLUxzWIwc4gTXy2qGzPNoVhPMM0VXqoEnHl5xL0Rs/EOqZxgFaLCAJS2xYLHpXRZJj//E/gVQWHIFCqzPUcUYfPxCkwb+GpoWaSAJ6fcempGasxtxBtsxkz3wJrQ0KfEILKBLKLh2hEHRgsIkp35sYSONB/PpKZvtMcyvrdyhRB+jobyRC+DK7MAZ5LCZmElgDPQyRN5U+g4D++Tg71bi32abtRz/o778FnTyYzzyzD0bzlwoaWMf5rrz4/3mhKmtG6uCN5ljAU6aFlqvxuBZi7y5oLRkRkqLlUL6qz1d0s+RZFvjx+hYV9+b7Fj+8/eHv79Kt/in/+n//jH/zCy3/7b77bbz+83p/vul/fHm+DB9/ve0VWLQfaECGhWTI2Iz8ziaiKqebWYJ/ODWJLmXSytEbOARKY1SBdxUsqT9fV+LVQM5LG7L9V7loOZQUILbUd8jz+wzz5Fh+hm8Wq+acDglUD6Pg62dzRRrxGZBGOmFUscZfIGqjaXqmFXXsSXUWwUU31sGHXTtCWuhaiOQi++ChMhST3lhUV12z8YOGFWaa3XaLCRYCbT2bQzcozwxbd7kGrqqgGq/lysZp8qZeul/Z8NmoXGpMkwG0KweUXCdW4amPjalFDPJpeA6WiGqrWVV0F21AuONSdFWJqsko//Orl48uHF9ZFEH11NRtoldg5+B4JULWrLO1Yowlgbtxvb2+vj0+vb58/z/tdnx6f5/H2Nu+/8bs//sM//a37ut9AsIHPU+wiS21WKrUAg8Q7OljO6ZTd6MAXgQIUe0tAz2rkaE20bgafMwBuZXQbZ4vKHNS9uyNALC6GiLL0WH2ZxDnoqq9l/nRxgEjHVEdn2R8Pz4jcezqUxd43JN27D+kxejz27X0+3/fbY+eBx72z9z27szOIqdTM7NzSZCmZRRvCLlq7Ro8n1On6P0ZzNiIcEG/Xu4iR0g+Ly8WhV+QasxkcjIxVdraPA7jx6yWSL4zR1TMhu1jGULMD7GDRj50jSE0wX2mke/ZezGoAbe291kfp1q1d4R7OcMX73l1iscORZlc3dUN7kG9Aa49S4JC7HgW0Kjz5Q2N2esULlxGpShFVsLaDKTvs2R5YzQEQtAybqMqOEoPwzIV/VjPis+dO5A2UqdO60D+UewYMyt5ww2CzDDKYeiE/74C2QmGhnQC3maZXhcgUKD3CrxA4WOLi7GdK6eiSx+0qWJMff9jUQFS+QhtPtC8OulUe2c1Patjn3SSVpbRWuI7FLhTLsFG54lHaSWaxsklp+fdWRB3lKXQ9pRIGdC3xWxBe6OKLyNy8RS7w5p67PXpWoaR/PrzuJO0Nm81jBMNjPDcE4BI/pu3G+tdDK/Dz3wzXFrCNVGRGcFFH/J3i2FgSCIyrRz/n0nHJxeJsweGsd8DEWRWzpWwqrYiYffMLGVSqEGDWQ59JA1smm2Zew9M627MFRag3YGE1IKrJLwO3XaEpdFUaQJ3qhjyFGfVzZV/6NV+SYBMO0lKlCZFRGFdTe8y2EWctayfsEeSeNJRBfvoXGAdlZWTcPazHW4g7RgaoIwQFplDRF6J1u97dXH5VYThI4e98JMJdHk8rBUrj+k6owguLwhZRWza5cVZYKygOZ+NPcHq+Qr58aGS5i0uNlSUmKalxth04GhSq6ylU9jQlMi63higj+Auq71iWRZCNsvsI1tcoRXOFyZW7Oqd/b5jn4axQC62bzDQlHm9Zm70XEQlcZh/crjkfBYzDIUzPpBZtyKjgVUnshzNbA9DZ6+3fSYvO3POfGCsJLM+gGpppGCMxB+PX4lBimyQUlhGpwnzRKYulzf4YiBU7qPQWSS+QrQYcYGtdTT8/CoLZ7TEOsjSyVHUS0KFulNNelF2p3Ly3kCYa87ItvNzk1/OpPv4q/vn/9vd/5U/wb//yL1//8oeP1+sxnx7v7/v5w8tcvN9p5wMwhz9O/AJsA7JFVTVYwOV7vJJqy84HzjflpKHku4Xa61Sq4XVr8Tj0vFTnKwMoNFQWzJrlacN7G1vBgpwewxyNHFQ9GKkyXRWkqEWSF9PXmcY1zsBy+bUBiRrG4ykBl6cRvBlTsOPDc7nthLgqbpcrbS8Sc0hBURcvPwleKLSb7vJoqlVauuXmWRW3kh0v9NhDXc8Eammc1tDN4mSOxRgOsU0W0IWPYBWv0kvr4ws/Xv3h+vDh6n6prmxauBeAHrtz437MzOIuEvJbBS/ux2KxSi9dLIyU4QVIWF5eOjA073dd9fKR+CAS3QsuMKxlAVQ1rhe1tjDkBEQxdSTNQ9TMfX///vj07f39Zz3e7sHMjc/7/cuPvv+jf/p3fvijl4fe75dL18NZy4XhotqoEIOEyraORFodNoH10lBNKnDDdUbdO5imQ6ag5knDyNtw0xWE0/177Hcdd9Qg8HMiiETNUQIDAtRY5ej/Gsw09aHxMc88uUNDoCpydm9SmMEsHo95f+BePm5galXv0OysauRW2XxUBL978E2jJSBu1N5YOZBxFfGnmSvGcwWypaFtzayblTyjIHk/jjos7JGZeLfryUiN6CCPGl5rODIP9/TXjHWPjSxGmaPa5Y0a1IwG56+IIz5Gj+HMDqDBLT6Gc/Nxc1Y3d8Rber/xUN2LG9zlDT2Ki1s2XPJ5RqSvsAoT0YKc9o+oDBlReMgZJU/IBmUKwOd0FPLaZeoKgwFo0VCQftmE/8h1Tt15KlgxLHiS50jA5dN2ubp15yqsI8YxBPqC7frzK8BaDPsNGXpPhPGcslGa33QSDW3LhsSgIwFh1GSIfKEAz9k8P6sTofFfU+iSzD26TVJEVStYIYwqK4DQ4SN5qfrUTkvMmbmncBcklf1QPTFvqIabfBLhsXsfX9jcuCjBF3iO3kLSZBJZ7pgyBoJTo1oHotSMs4QHSQ60Z0TO7ApcZJZL04PzZpx9c6NF4/B5jFtEfXH7O55NTn/H3jXRiZJXS3p2Qj4bdJA6pSW1JdZqvTus6FMN2eLBV486VBzOOKOXdFlmtX7tZFUVe01nxMGGOjC2j0o1Aw1CB1me1NYECc9ZUNVhzV3zu1ZCLBIZOBYRd3m2k4f8wVrybkhFknkGejtTgvNBipkbmUb03AcFijayU2SbUQRQTYJGlV2Oz+qxeuwMFNqMMFlCewXgRk9wnNPYOYlY9+gTXKDXDFi6HtT/VBZ0uPP58jZSN8UCMPQZNS6DvCLDSE5XPMMyvo6kLezbaTwDFXT1tmT7kMlyse5AC7JD9ihTRs9NNPK2KnNQG1lPHRmh0+2hGmQHtXwsUF6CnSr2ADk+sumjzeXR1SYyFB1rUNcyBnjnJKRkbNCx8sic+CyNhKWhhSfsDsu6nvuQPMSMDG+ZyuIBDwhtGQckyLxOMKbpz35DPjgBpU7lwBQV4GEq4HZCwdGgVPtCnyi4WWtnvNE52v8OK78BcQKsFCkmu10xJl4jp7cXwGCceXo9Xk59/J7cl/0Gn/H28u0/+l/++u/9Bz/+yet/89PPn6o+3Lfut/fPrw8MHaiXuGfXk/RY6BmGMmbtt0AINSiI1aBXDFQzwxma1BEe/aiFjs2K4XBEMCCaQsyXyxw7AA272faXQR3MyOG7UdBqZxwpmMRWzSoR9gQB/Zt10Hdnls3QWA6x5THxs9ry7quV+5kiiio/0q7TXKrKOZmQurPbmFVe3WUzd69hcvVUsPGOLJgiL2L4nBEFJY/r1zrlSVqfAtIWiKUyuWIYgtWxhRwDat3q4tX4UHxpVl8X9eGFX7/0x6s/VL9cH166X67rpVWqSwVUdyU7b3WwTlVfm5HDtd5L5C5nbPU6A2Fndl0/SPfH6perzNN2sZvNulRV+PihXj5c3U1Uv/RLN0vFlgBkZcXW9Xjo0+f9/rt3b6F+v3sKD/zNH/7DH//eP/yV2Qd2Lx9qqxF8BWk+MllLZFk6bdyubmWGEsIlseKo5Wl6b1aI3XtCvTvnlHRqz4EySVcxiXOzRxuQOHWlYqtT5gWwTEhfGSxiQEUVEh8MTpmHLMNvpDwmtor44167c0BbomY00m0Ls6lFQ1y4B7CDjs3iMoc2GxHqBuN0DVN1ok1q2sJqDyAR2LMTgsuNCWUGEuvJESdPj0EJ4B10iXXWpRirNuQhT7wlaX+BBJPrkalG61A5lrgLqz4DdF7eWpRuwG3PrJYc1lD36vGOx8yoBri9SG1jY8rhskb7kLwwe2VVoyEPwMumQPfoSb5KW2YlRyCBiGRWUlh+OMbQQ8uuvWzViuzdmk3GMISElKpGHgtxjk/u30iwSHCcPgX3rUjxwqvAhY2BjQgDHbEBTmHrVO860BMoAcRgHakZiaQyD667s3UEdEdyAM0MHnj5V3zBz3mSZg/o5cfnnGInE5dsbX8zf7pISFIIMvgrbepVMfxwzFQNqtmzl5WFOzaKDC6SK1g463OOYEa0fMVFgAM6BNEmNUwP52/APOUUCP5YTmP2UYBR44OrE+1Wm4vgjKCXpzNQgdVUdR66JX9TpewgsEXBEvIa7CiiFFEB6PU1/ow+Ya5X/I8vN+RI/lzff9IjARLh9ZcuUMp33WPSAl317oq2QhGuqkr7aKbFBlUQGK/TI4I6ADBRhy+0kDIEh4IS2/DjiUjXk9MyPKPk6qg57FB6bqOYOqRcfS7OSAIlZkMwAli7eOw4fvC0hac3sb/OaXfGjU+1bzJLKi8J3BrycWuEXe4UxkBHOmhYtQ4PDmcg3SmD/Zy8IWOR44CeGZjIFdZSChiYtD1UQ7CrPOCIUn4+aR4WPwdXR254+ADgKAxg0vXAMlBGPXCqS5elKy9aYtkDs6hs8X4SM+lDz+NFMac3DEqKJ7Ny59IxuqhwMo7lob+l3TOaHGhCIEPy+H4cd9ysvhbt1hdi3ONrCb0wZLbMSF+I92c4SDKnUWjEOyRdz2kRw05kHNAfM5nc8Zk6SjIcZiyj/o4xX8LPs+GRMt2eXpBurqXzXjzC+uw95NmBp+gy3Jy7o90MuAVVq8SfWtYFT68fchRspA08mACX7x++q/vrH7z9+K2+/41/vf/+f/77r3z9yV/+jFvcx+vnT99+esiuX8BjoAds8S0pNjIir/JPd8t8MA6qbtJrSuqm1mWKnj2RPNJQALXFJegrZ3zEgFHDVQtZaNf5rKpCcIrFGV9yp5xALRSqsJeb/pvxkbbIxG+a2LObhwgPWGSMLqbskwEkest5V6DUvcn8rjaLxHZVoy4coJdADagiLvAiqlTlQV+rMOtyJDCeRTTMyN/IH5egy7yZBAyDVhD+cFktKWTzBla3sRWbjF4imGbT6wqurg8vL9+89McP1zcfX7766vr6B/XNNx+++Vg/+KpfqIs6Zhiy9cqteWindgXu3KPdlsCLWHCWy5ujlfaWbMbDgfZ2G1tXGxe3a1BdV31ovFx1ddWqmy8fLl7kTUxRvXHzMGDIXb1+1uvbfvfd6+dPb29vkqB3PV4fP/jxh9//p7/Jrz7fe3N+4E6wSm2bHVcXLYcHu1ePUNWWwNnfsAqoAWpcsoQOlDKgrjNQ78XIMQuDLUQNJJ4yf4NZ0Dkwl0GHVD1oLmVET0Pvsww/eBA9O5AbMgDbkMlu+UcEwQK0hR0HOMk/Png6d2EDUP9zTVYSjbnd9fdI+pAdXbADeOkYcoRdrA2wNYOiHaiLVJWgAZa6tQDWizZUAqvGuaPk5LuA1dhWO5+87USuUHJGVMs6IPuls138GpN2lvdPuAx4kUBcQqT1YpIdQJyVl7TGgFS4JVZrLm/+0NYIM9BCoztEiuTJ3ug54ubUOgGdFO1Bn6gRm3kkgMByWLjuCKZl5Sm/wOLhpi1J9yE6PiZ+QErSwpGcpRpn+iO6Kn8iLps2IHBTspxR51SfRjbSrRx2AoBtgoJCrlIoWBXQIi4cZXIOm6so5+pRhqgUzyBrWJGqwt+q/AXPyNxJaADgzbda2ZTcMpMugOyygrcA71GSJ0swwXNbP6d/NdOnusBqM5/15B8KyhyNr0rtgR4JVHmjvPOzewyuJRebJIdcxipU22j8hAoDxK6KoKbNU41Un6sKp0tjSoJH/omXFprMmj8n+aiQLZ876UKHUeAx8ZFYi53eA5/a8MxdihuBscQm18pBiBhAy9sYkhbrzUiCm8yxpKOC4hYpDmmpJ2KdHEAbULQHEjKgrWQkV+Tuw4IWiTQBZK2GggtYBiBxp87jCvS9oQNAxNfPW421yrRb5aod/c8ZVLBi3z5+JYKeLGLb1WAjq2JDQDW2rri4Bz3nbiTUp3BU3cv74XUntm5lzNV2RyDUR74JAON/hbA+ftbLXF3AuVrPlMkeZo9Fa5kzLWxZAYbQrrPRGnyz8QzqSbT6l3zpblO5VrMMoZYtpB00JB0xVUnlZ7bujRy6dCDkFY1MpjMDyz9RBLwEbJUB6wh35axh/4oolVxDrbiMub4iBxOB4xKOVRoNk3rPrlYQLYEZwC6PXzriExAFuGLPcguxovoBo8c3W2HuRwljfh48iE74FRgAfJIpqUydaXL80xOwi+c+nEaf4IF0InNSW5iOhGf515XClMrdm4lGMyZNTEgVVKz0UyCLl5m2INg4wUZrnJMOJpQ224PQYO8L+EK8EM0fzIeP+OHbfvrRH+Jf/h//0cdfe/zVX3x7f//hMf369nh7nbpb4qXd4QN6e5+5ayYHx1MfOECImmmrZOu4uPPVpavAAnvaUyIklsuxwiUbD1rilhSvStD1Lqur82IJkmOZQTZALAra3tXYnWCAbcgoDUQ02hyDtwwdnQHUKtJgPFhre4KG8aXNYQdzfWDQLf56QPyVmadcRVariC701UJBXZb9GvApNLcqJAOzMcaddRU8kFUI1G5mXRMDYslT+MZyyrVdBmZo4b6PaLzp2tpF7iYSVV1lLp0vpa8+1scP+ObaH73cP/p4/9JH/dIH/PgX60c/4Dff1Ncf8FJEvTue3fcRkdtGYqwP0RBg6q+57zvtCO/Vzrzvfa/15HaChXHxl2Z3uvpqfNX7cuG6WLUXp2p42YFQurUgbmn09nZ/+/nt2/d5e9P9+r635pX7Yf7+n/3oh78z2NevPv1YHCsOV5L2MuxP66FjQm0blZzTDDUZBTrwA56VZa2HCb/4xCZE8EDzhxcteirfVaIc1BMsqvg0VjOCnK6XbIALrnExg7AKTFNmZA1iCO41HLMdLs4UsXYMuooaq7kN7yS4Ctlo4+KgVuSVpsEcBxhanRndGtCE+4KorvJ8FN0yFMaoNOgu2mGxkSlP7ji3jzE29/KLPsVYEVQTCtUj1RmENvDpw6FDMAeJrSANxnpODUnUWpfLU1iAKc+cBv0274I4GHEGXhcD2N6hawx7LuV5NKuZ4bsolrJPz78P3Exg2mvICV2yBx5ZIjlWT6eUqRhIMy0PypRHLINOKsZRpovP4b71joiM1qXc4xSVHcjPhUXJpbP06CuwoSTpEkOhVZTURMqGQgqgFe7B2X9x7KRXR4ZQKQ0nehA50Q0hyH4XhihmtWcGwAS2sRLX5B7ypsEPB1kD8qLsjFAAxndnu8jCBZztX1uCyYOu5JOqm7wzRBL3IEtF6kiL0yqfF9Qn3WuSsVHA8WkFe6nI+hdMRWlVRh/MyVP7dkQSLwQDdWNV2FEjpkhCXnTCjYnzTBH72pUOC5A4gvLo2OkFBzpQqyko0v1+ScB9rGl9DLG5wsgVsr1IQH3JOwNbtYdgCRhmvD3gq1hPQZdLI5K7qOo1LcjCwus2V7ChVfVRfQDP/OdNARB1uSJBUFANs69Fz5opMUVPFl/YqrhaLmOsYm1HlG+i/Rb8UnGa53Xnm/0Vu2RZwQIen97g7YYCRQsQqlFdkPamauqevQePwWpcztIpsJZb1QJqqAvldu3R++QVBKBtQ1prIxlZ76ygmQz6y1Njpp/3O9SitdraGkZfMntKeD/U2nRUotc4W5vsgTb0YRDsOXaUm6TncP1RTHJKUWtX10BcWSjrfMkbwaGs91+QC7bV76TXJfjs6sjbnq+UpVrPqcrYmpF1CLVYk/grVAyDBTePJWGb7QbDJEioL5LLu9Ta9BuAEQXST9ziWRG7m33Oiron8iWDEIs2QxtG36iCdqzd0IL1nEvOCTMki5C7qKZuRXxUVdohEbNH55PT+MoTNwzJa/Ysc4fyYdW6erRVWIUzw8FMyKqzwXJPqi0rc8QzQeQuWYu2ZLOyEvBrcfdXP7/8rP7eT//Z/+nP/t4//JX/7r/7t28/eXt/w6Pm8em+79GWtvaee+7H2y29eJRox3www1sAHcwnnfqye8FLpKraJ+fsf4CAYq2HhKksete6jWc7jNZyCwXMqC4GK9zkIQGYDvy23MttSNk3FsXCbFXYZm41dbsrJoAmbiYkCOXNURUTgp0Ov8uLtYD35yiyRihjgewVS7u4Luu1jchJQLepk2oKNhKTVGVvkwWKD8eyF2hV6qq5XXyQtyDVXovtivOMwGLuhjNTOQGvGwS5b6YKXOiSNmiU/R+m2NdVF3EBv/T1V9989fLxBR8vVlez9T4/nc/fPvb7t3284m0fn99fPr09doDifeNj8d7b/EWWZs+1uKm9vQNtxpuPl9jZdB+WBNgBrb3i0RwnWtXWyH/cfcfdWLQGxR3thQanVsvunfe3evuEb7+bbz68vVT/8LX0gw/ffv6rX/2DX/3Df/kr//f/+r/b160f3juVBSx+3ldp7ptFw9PCsUBk2MrM4SPQa4rL4zmWUtJ8qAR3egiIXs+cGOQlfaqQBSvRCaeS1DLGki7N5YofKVUJlGrqwK8IiiAMecH9XhFzaHQSs0Oi2FxsCN3gYDno3i3SWO3GerWsMbemLyUqCbBrNXVRN4O6x9kXjQI02117W/y0YANsHz9D8QoDdzwJba8Eqp9G11WaecpUNlERMljtRCGIqy54+NkJg4Nt500RsvAxXVyysUsnKzSNUu+CGOqZj6ImCYuq4EUQ92HXlxSrBynwaBYW+TNq98RVO1S7UTkEM+PM51KPFvww6hofhKYUw5xFy65ebpP8JoiTgxA8L6haoCwv1TtFj8OBfzgXW3nY/iQL2r3PfHFOPuJLZFGoI/amzHOhnhi31j+6Xd+FvYxd9KS5XYFlP3hidCZmK92NdwjASyO3hIGxbcMa3OdqNEDYi+1LZye54kXdPhLewTt2jUPidfusl+VDYNKmr3qoedTzNqDkCUHR+gm3UJZpSLWpe8V0Zlx5BLaEKvg2CiE8sMLl2lqLvQCkzRLdsvrMuL2K+KBqx+12yKCUaLWuh4J8Hq5EPnvWKoDxZ/HTqdrN+EiQVBJLoUaI+TORtYYAGO7G4Vo7uG6Mm5+cs4q2FzpxNBWaazoJyM6q8xrsYKsMtafVcIPmqRGfpzO4mSZFYouRJJ7W1fqNLZ+/yXEsQBmqCahSp63wXYwkwv2xo6nVaiUMycipDZsUxkc+MXeP9c7RdkerTMP7FFnADd6Dx0P3oqoiga98ZxcOu3v1ZWXADW9YqC+QcmZfnlWqP58ole1v0xmbBJpyoQFGAHxk6Qk79HvPLpEgb/kt3rdgmvq0NKY54lSmjA0sZaFwginBMfLgosmTDzyAdbGWqNnlJdy05NKkS24DUe0wSdXkuwfWdr2c2ttzRG4hIjRtc8AgtdN1bZQ1biKC2pMnNO5KhXaKvUzaRvkkZUq+SPgcIUn4dCJumzeOxa7eiVXFo/40w0AYWXi60yxbGAd4hUASRsaZNuPDFe7VNmy+YnjeM5Rjcj0DfSwaDNzvE5XgqZ4iK0nToqoCR6iGc/HRVUbLJ22xpzbt3ksbS2qxvC1oeV+3fu2nf/Z/+O0//de/9m///K9++tc/vR8cfZjv3l5fH3svec/9+PSot0/aB0STastug8Gs84KqsNtWxLr74oLqIqCuhbYzpyyrao0ZEm2MzZPPHrQsYhuFJnZ0kHEwlZOHaU1Iu8lzRnfDxCoM7e1I7yIINldHYgot6yIgTVsZbgl3gZgIRqptYI9IQPwXWVh9CRpPHeR11dlZoW4o+1XKHAXX6xnWxAlAe1cfyAiLAapegMVN6x8Ct7M4fmn7pdGHM6mCPo7o4L7uq9t8tisRxnWvqJfar7o+fKgf/eDDr/3Sx1/4+OHjdb1cL+Du4/11Pn77Oj95vb99f3z33u+f9/Pj5fXT47u3t+J1r6kkH2/6i2HMh7PUs57YhLRQ37uKWjoKtdvIuc+5gVShq19W+kG/Lz5PhtPMENS2WDtVWN56e328vr59/twfP873+Pplv7ofP/v4S9/9k3/1R//f/+tP3/4rLL5KisoEvo09qmnLia3LhHEGg2MzZi9XgluwjeWT3At+Gwm403U2MqWMdgoJTu2CsQ5vbTVlpcb0Qnd4i7pxDFc/q22zFsbiFuoADAaye3fNMRBezJhE7OUecYYWPGVlFld5SZzSpcqAMQjhLBmiq4qZZrpVRbTs+Wld3rQUDSDHVH5EijqFLwyQe6betzDDVpXfaWyF+6XEHal9/5+fytC6KTXzxhkUMIZfzz81WTx7bByiUY+rEF0q15kwKkAlZqRReaFGX0I5GC115OfESsAlJxuAgpiydjZ7ORZYNA8K9SxL/GVsYb7lS8i0juYwnPqOcGPcqbr6xdHrPzFbnnUiKlMyZhEm0wnuVVvY7A4p0bbjKlZBz0VElj6ED4ErKpvq+Dwbondxq+RHHuM0CLaqhr6MM4owxyvbi4Qsl+vT3DL4K1LypTvDwmmNKm8wjdnVLhSLNK5dyiKxU9hNZnJQ8Lqjuhqj6oZuj1K7hLP9fiBG10Bu13xp/c4sKjmVc8Hin0SoIsZVCZKuIdWiSosrl7yg5UgQF7rc5Xd5FiUZmQkq0UdonDAtznFPulHQKkoZ1+seJKsG5UcYD1Ja6YuRYOBw176hxmNTU5t+x1HfAFhbCQgq7EwVW4TXVxL3WlATXTUtmtXtZYo+X5shgNgBpZ5xxeMzURi3PAS6o0lXqA2Dc6fOU+aF8FxwewAAklhcDnM1UkVeD54y5zRqAQxyiVi0X7DS1NiV32izAQXsdcZavEWBAQ0EYtrbUT3ylqH+ugcCZnbCmFV6ChsQgmsxsz9XU4Mi1yJJtiEKqqVbJNAfaAtQowt1RwXI08AIujzEdlGWT54iXy5xKUpuTHTwItdIWqYjlIGddedqy9e12nKTq8IBuKZaoHgJE2ulJdnaQVgUbjq64g42vEmqadh/NBNdzgqefMk0dCEzRbtBOXLLO+419h4OThwtkduBYBaErHynRWjNTvoMKWSCzqinWjbY904N0Ewcgt2RJCdtzzoMgwAHa8BrNZnVcR/gptTqMWfTNW6cCFnQUJslFqn/xTrLccQKCuL1F8oUg1JQOcPAhtPjDSPxyM66pCjbAKbKIUvnsBk0wV1okSJeUDfR6Gm1oLkfiw+9e73Um66++utvHn/yV//ev/yDf/If/uZffv7zbz+/PuabmffH/f7+eNz7dle9fcL3b/v+ds9DmMtCGtv3Lqe4TxAPs4CVoJyrwVngqgslj1Ztm89UoTXHZLmOEW4kLEpjS/RBPmyTIagyNFRPosMTnUWgPPAakNcNx4nj3gQDqKsGJFe4ULuGINDiTRyTa8fUyi7h4gs7p5Hec0E2j6VXexdYGRNfo/dZQoULArlqV47SKWHguY8zHrwSuT7z6ybzNItu9cO+hTzacx5rV13OyRcR9JdYtwKa1gsuNGmcjCLFl6W+uvjDH16/+PVXv/Dh5avSx9pl6frmR3X/0lf60Q/uv/zZ208/vX+nt08vfLnq4+cP335+vUdachqX/bnCp3KxKwNSFsirNLqtbX9IOw9KjX5RYeV9tCapBKwWqA/gNx+vnfe398GFmlrIC1+69qYZQr79dL77+vH1x69ff6av+caP9en1J7/7x3/w23/ym//Pf/P99bZ17RCjLTZL4tbu6pK20J72VLHHM09bS6zGvtQQ0OCo3HNVqkqXjPIKTHj3CY4vmu3AXPE7N4kUNtPr0QJ5MonKkk/jzAb05B3ThgrdQfqHRH5urDW4uAtqJRVIFgtDgjr1UT8daLoEttoUI1jr6cUV6wKqAS2vSztZY3hd0thEoTTatpRkuVSVR+ns/omYikkS2nCdUUBQ4vX0l5k0AUJzYyyHQMMawYQXz/nOZfDhd2nmCGGpT0AWBAIMHAp4lWnhqCm34JXPAixOdMnJWpQXZlt3DMJbwiicrGMzk9prCVhZiMJKVaRhF/OGpjyV7TFHnb0UNUepFSTJlZVoTYb33rRWMe2lrVChZnkebm0wIE5GFBPzKaAFrz+0dIBOfocIRjoDOEHI2AaFLbYSV4PdzdSZMchImYNISA2JB6r3TWggeK9RMlGywytZtBTNJXOaD3rY5CyyUQmLFdlukxYiuntckaWIEoocqmenGmJhuEb7DIuBgXrUVdJ9kJ2DJ3c9yR3CN6fTfAneGy54UZmQ8fIcB5yEXynRXWCVsNW84wvBLcxiZhdcopZXOsFon/3j6rkfek8tkfu5VpIq/Z703PzjQiX9RXptdkpmbzXRgZOcsCIAdpWNkA1FKs4Za7i5NANQt52S8aX18BBOVPUZXWfZc2hHGWOu8wALZRMri/7cvJgHKAhFcY1wZkjTYGklIFIsYepMR/vjH6/S4P2nHTAZ4d6hwjiCcOyFxVPAHscY2cVmsTRvl3fqeYIygZVCUustBUVXZVeG98laL/SoFQb7/sDj9o02nQfFwjyARntdW2KaszxQF5VVgaoN2WJ+yylEaeXNFHhkhlHVyD7pApi9FRZEOTWVIHW5dnWrtAgCAxTK0w5Pn0buLr2V1EceuHOogldRzuLIDpZyVQ7TcUEtLBtltrMa6V7DA4RB1K32ak8mY5XbgQO9yMovSjoxbqGzYcOn1qtwDryTA4ajQDyz+utr2KaDEKrDxfJmLskiq1yCbK4xoXnWMaZZp8lMcM0yH1LNAEf6df6c9NSn1A+CUqn3KaQLCQB8adtyxh0II7rSIJtwwSrP6/tSOKAf5yrXuE6CmYziKRls6acC0NW2r3cbTF1S9977Um5ttB/4ue+vHvVrn379D370G//pr//JP/yt7z7/5G//9ru39w9SP8TX13ve5n7n2+u8vu79xnnYUbs9Q2i5Gl0orZoadvncycCLt6BJjbZ6gk1MRtdXvBIoseRLitgqCV486M2FX+i9OLn4oPr5CFTxSuXVmUtyYSxnPkJkwUV1oVdiNYvXZoLdRcjavfZuXmSDi7o4A6JeUEJn6aUEXsXstWVdsAiChApDwlmS8KD3w1Bsz+4LIdD8uOiVgp1z4Ma4LTRlEQGvIIAz1TWlWjVn1gGebgRcIVo6ZlYBsjTLe5E8MulmZ0hpZwSi2C8v1ZfwUihe5HYRjyX54aqP5Mdf7m8+9k8+4KvP9+t1vX7Y6/r6bz49Hm/GNGWYWUWNyXEXBFReauYwdly9yoR3cfyqZcetrdPbU6UPF775usR5PBD877L0eAvYwYg/0+Anry8f9PHl+uarr7/qff/09vnl9Y//9W/8l//v/wv/f7+sYiMYMwb2AmQadJ1CXGFfq8fzMog9RvDmKAIi5HFaDtr9BI1p8ZDVioS/hivFjejADUXZttlvNEhWPMGtGoOkM3RaRoL9MC32LeLYSxrrL8MWCXUr2IJqV4kKVThVgyFeY6FNDqEqGbCqsxgL9hhZUDPFbD9EuRY10+s6toSVrgs7h+IShC101lVA5dCW74vGbpXsvhT2wkixcSoHf2/7YWJ9SlLfp/HPc4cAw6Uiyt2xsg5LW1VG2CxSRFmbzPVAsl/RLsMar2PoKm27KR40cHYkc8v/L9IHaJK4lYsq+qpSim72QPg4X9g71KQ1uLMROCBUwBoTxETDaYGx66Ka5Ef7SximlJcgJxhGImHphTwGelBNMOjy6RtBi7UWp/6vLxspjPZXxVOhuat0E05bu2OplQ11j+gogjqwbQVvMH1NvpkCKsnBiJgjLQdGJTskF+cgcWHlYB365goKImtrK7AsLq8xK17t8fgidqpr1eBN8xXBvQPH2nISopeOBpH0dwcVJYvh2gHDMNTPsTuVaeQhb4ojT5NPCTe3eFlP4lr8SbV4GfBmK03aQjMZd603sVeow1PR7tJqaSEbVnqzckGWnqq03bZlkvfU7hOHkJEy7FkkP7VYt7cNTLGHuFzQCMS65qdTfGYHNtR4ap5wU5nf1LbsFZbMA9NFFSAFU4FBj70Q9jmqclik8BzGuOm6emBbUaspDJ1SULhORyylP7MZjEu7AAuynYBl1fJ/HMPCxBdhtmwx01r06YFzpFnWOAO9FBaPBx63xmzGqIg9gL/BaDazvy105f5cz+K2tITbEhSjP6dtir9LqC8BtpIwvcQUjF6UyFP6Fjgcb4JSnumTSBSNFzjsOLXS6mRD+BDOPAa9RoisiTbESUspvUUAtv8/4QAAqrn387qAJWukEdmCQ3mdJu6cyYPmuIB23vXCH/9Jn1Fi4Bnb0qHq9M8uMk4L2OI2sZOMcTl6Gi/BE/J5aiFk9R5DSRhEtU1B8hKBs70xuyygMZ+VlAh3A07ITPajxL0GU75gSVE4sZUOmdBQLQTFMC5ytgVovaAXMOuBGuMhQQVcc8A2Jgm9KncvS/sEEirx4ux+qNYsawFJI+ArVb/142VffrN/+3/243/0L37t67//N3/z7Z+/fXffN98+vz0+zdvbvH560837je+vO+/33JrB3Iy/DIi5LGvgqKrcww/Ul8JeEiX1Remh+lCeLCwUbnvLgZWkRpVuVbVb8HYfH2U+wvAhSM6Naq+pcpIwIVFmPJYb40HAzlkYCfPSsilx9wvqAa843c3UQtHFYKS0pxOzY5xAnYGfovkzgB6sSPnQlQBXBpy1bFPqZYlmddUDGfNbLp2Q3C6p4n5S8oCboXSWBkVtM23xEw8W4f3IhsgDRwSjsyBPa4ihXrwgYdXEYvKYQJD33u/S+41+gfChFt0avBP11cVmf/zhx48v/befHp9mXj+9tYDCz3S/z63tDfY/rVpu+yzv0bCM3AyJGRSZBaH2mgRR3rpJT0M0nHVqP1ytD/Wd3m+wB8MwgGRp77tUO2/f4y//Zj5+/OrlemWr+fL9dz/73X/8d3/7X/Av/psfvPNndRHv8B5sdxk1tZxwrK6SGUcqOkxWKxvoLeEcwFJtENhdqgMCGsVYeFZ8eWr35w/eTB8Y5q+4X5gtcTI9tHjEPOM0IlJnFZ0LeZo3VbBmq3/0ZEQBa20CBJC1PhsGwJu1jTIhWoRbBu+z6F5WjzkCcVsvK3Xd40JouO2AaAECqEGwbQK4mdFkMIW5viAmpFUA5dUAWpM9NNS9gWIsjfJfPQxH8Fe3RDziAvoTMPj9cHvdcxndPtCXW5+xd1UBuwXqTDbrENbxwUwQd3U/2tqWZIjV19DMTlEeDMqnR2oTsx228AQYMaTzqtL0OvdxpbbjugIqn6Du74p1Nx3bdkt+YJQMJyFuGJ/MqoQG9LwlBCy3LK9PtcaDKWtT8h6NZMDhp4ngQagFnM7UveRB6wuY20syI2AxzV8gGpZfZwGVcc/QDaVZHrNssjK7FP6GarYgHtcHZChLlIZQqbbdzGqpVrHU5FVLyuqVAGIoiM4euy4V07O6PDwQou9JhvlD1BlnPi2ughMHmViphUm7XdFm7m4iGFTkSLVSXXIE8AB+MBFfyBB6X9pD5PYgfwPY3eoGAK4ndE8LMiaMkEiGFDCxf0zFZdmRa+L8bkA79LqpcRMvHa4zuldsVT03LejxJD6qrjoNZJgNCKmuMqVo6C5FMyyojvAEfeaP8tGMPElrTdIYtAUFT0sblkE1g44SXbhNN5xHhYK3Xkw5VVvO5XpEhRqNt2cb1QfqTME6TmcKlwHuPM8WsYwglI8ke7XEaHBLj9W9JC/tPfZpXFiyrtjNnLAAY06yqyGTKjy310/04ES10E402HlkxoeKWvtcEYBDBHSipcoRSc9iwiHFROimVvSDMI/NUGH2IWpyIgcjwF0vVDL3Vr3ajFL5yhSHHss1ceIAJW6hx/CQ6xGgY03C8PyHZvXk2eYG+HCnYwGf7fG5ZwbFSswwBz3s6SRh8J9ozZ5mTEKhJhiM3F+ycHsa2ETLcUJ4cgWe5jq7qt2GKNhJflG2wGGBcDx5tHimadJk0ZQQD3lFteZ6oRNcBQ+nPFuZ9H0+Cf0FOchIVBlcJNjWJ/tQk6jdWY92MuO96Xe6MYsPetl79bJxFB6+1Avf8Pbx9evf/fjH/5u/+w/+1a/xw9/eP317+/zx8alfH/v29v7++f703b3vNfv4/Kq3t8f9yr1dEQznEubkhbWnfTwcSkRmVVqFAi+/sCuPwIg7LmXixbtu5cLZ/wNIGLKrokEonhASLLFUjHJP66WvENqyOLYrp84BmvLa0SrUXt6wS0G4XriD0SPHoS9pJFQ1MYXtxg47SpLLnd5R7JNgeZKtq21CkHmkFVAXdsdKJc6p5SzsirIS1HMeLxMB5SInCEGlTHQzY7YDEKo9Fi7jrmX/mYLa0EtZYnJmmuECdPrFGlEuSxygsHx73G/v72+N0oUP/NiX9uFD+sKXj30XiI8XRH1+fHjZ+gV0v+jx+u3neadwcZdXTmsLUGYytIVCLaWHAFIPyzZZL6ubRAbGHLXLrg21otdEGo57fbtfdwu6tseDl8UegS+fa+r7+pu//fTNh74+XT/CVw/txx+//8m//rVP/+cf/vXP/pZ9eZ3ALRawdxn7dhU+C08er69mURxP5QkZcSRqM6iTmxiUhuabfe48tILDoLqEF0tjkiPgh3v9OdUcJO3BNctSFaDqKY5yFvD0rV0xEim3DSvUqZZVzwSghECjDf6khuaq1N4FUQCxUFd3pYhcompf1FuL3W5SmLlwwVJyoW3odhUyU5/sFfQXV3FnS6VOOU71AVtwcr+wVdjJODbc++N29+SSktWwhhKnywKfDQGSZGJpAx6ImU+A6aD/gkn1TMk84UJQHH9qpSEoWBsLWKv+rIY333HVlEbH18TYvVPUSUZ+Y0YgLWNaOxrLIj0c0jh+UgjcxyXs7HZ7FvQ8Vak9eoGfy6EpZ4O5BxjJ3mEPntRBA4HzPWx3gHxaWuPjPRjo2jUZhXyZGIWbQDNGlbNscqEWnVm/Q32TmrVPuts1E1wGY+Eay6S7W8XzXA98ViYHUw8fy4uo1ZbGFG0XUdNGtMXuImAzIvB04RF9+rlwnTMhS6iIDNZYGL1SV98GUv3UiMnAkNvvfOKhF1lSa6tF28v22J6Jaa4gXamOqOWZGsB2OmSjlE1M3gMh6SaPj1ZLnNxqF4EC7JpoBd1QKY4IeqfHURFzWxVlEEITGyal14syDMCGiywviMonHU8QyEXH6FRbiLugX1ARqwnrV2f+xXWgYO693JcYwqQ0J7e7czLtp6BWbvKseKBdgmMDKSLTm4YGTSuHAzCUU2mkHNQcJiVDIABjkhQitFJUK7PwjlQFj8vF0LswcnJS1C636v2xd4yObTXKtF07JkDtRVWn4w4v6B/vWAlYeDfjeqaOmoanvndmPhieuVCHk8TwYAOnDhHI5zs68d7auATLjAifz4AxKM/BE3YxV22SRrKrDIjdoyco+/a6C6YKe5O8hEd+CCRP7fnf/BJIEqOBM4WUV5M5uomK6sRTZWiLDq0G7sUti6n3PKdolyyGyRdTUHbnDETbd/CNmK8kADJP2/ayqV+f88X5N/gl0ue7KFZRtsIAHWQUUjUYgru6RQnbdcwP6DlJsMpunBGTMPwwM+KghFri0Ln+mNV1yltHhGc53M+Z6SP3MOlQW6sb5YSFF+jx4SP4/vn90ft3//SHf/q/+83f+yc//H5++t1P3j9/t58/vd/v+Pz+No/H26seb+LqbfD2ee8HZndEDBRHfmPyYhS6BruM+DlPQ5c6U+w1lDyv5FQa2HBpd1sqfHxjPdDYnX7Rl/i0i04RhDxE5jJxd7fU6IVqVF1dAO/Sy4wIVFeVqq96mQ9Cta5LL/2By6r+vJ/vW1o+BmNpSC22VYOV+WVTaZ5U6CEqAnyRl/OXt/76MJh4WhQyoZ7mxVxGpeMDrcE2qx0wMS2zMcLohy3QsKDyqFepJuVnv3t12zs0XiynK21L6EolkLhvdoOr6tVcjxpJ+9i3x/35Kl1oVQ0uVhU1pdre/tga4AcX3/t++6r0fvUPq6SZmdsezDaDYQGPTbdqSkW4bV66q1G7LMbcFnpQHgTB2iVLhVqrWLrRH3RdxX4RH+9vc9foQb2IMwIejevmp7f3l5/yBx8/f9U/fL0WvF+//env/9Hf+Ys/++W/+L/9f3j/4OILtrtGow+o3TxsNPvLbSM9D4RAEObqT5t3p4iSL/EpqQuQiR0jIraeY0JExHHAofWChIB5937Z3KDCe8jkvN56wmIZRQ1VCJUacSJyO4LTJWsJDlA2Go21BHkBpGyTWEaMya6OXTRJuy8L4Fys7cKDi3EO31Ir6X89/5n2p4I/xgrjaFCS1fdA7ToctBHcmp06e8KUVfIpBk1a2Ac8WBj9lky9+bPrANbUKfgNRClzWR6xR4PaM61s0tKQfBm90OFkrJPMrWGmuS1WjiCnTtSJe1NA3bPM3RMS6eX9FwjAVuWSNXjO18+yF+4XjTinXzhB3ZWypaCyCsOB1XCK0n4yLaBJguP+XTSa7kO7/WWNFOUieKxYEITVxtYC4V7kysT2ykbqVwEe9RQEMGDEKTU1ANFGffUFgE4T5U6ZzyTt5dyuiodsf32W9iaatZykeoKMRcZkvAMoqi+d5Gr0TadFJErtGW4bp6ZDDeWWy2MEj4CQUZbI/gCkofer1CkTiToKAM/wUquJeRzWQ0wjsi4XDE7F0Q0TG/In5Ydr9tE2alHmtiyYhp85yp4Vh1yJZc0k3Z4RRiy0QkueXDIUgbXyP86HGWdHdJuKn7RHQlbsdgyz93ydigysY0Vg5YhStVjOxfG5jEK7T9cRm+0zGGCnfleWns0EFI1Z0IeNcDE79nQ8qYBM8rpQPUja0gMPHv0k2aU9uAOBqsPjRynr8vbAzGo0B96Mnh597HEV9t9Nk8Cd3eW9+/DCwC3C81H+6iOL53l5btPFKkL+Z2tr8G1XaauGN4fbr9NLDU7LVqgJXUTWl/uFtZ1yAxrrK10Jmm3iGfDOK7CgjIC4WE9tlZTBO5ig2ANvXMio1qbXWxS1T48xE5uZbdrltjRLUFXclVn21M6Ilp8IaXOKVeaMw03BZneNR2xr7acXe4ByGLFi7cTEepZHJlO0YhbFKaE3IlEX7OG4ot5bE6EJGctDGJve8N8huB78NKz6DFmBWfzjIVs4BXhTOvDNu9BJUoVoSP1+DHavSRvjisZUTuTJgHyjQYbdiXxL64akJC+Iy9XyajiJrcytWsdKTJEy8UWJdwN8nfe3r77/vX/16//sP/mDH/8xf/L5377/lV6/r29f8fj0qt3HA2+v729vXfcuHnNzHjuPXfVKE59pT5UBllUe6YkT4gCXgV2lTjAjWeRzgy18m3naevbu4uJFD0Azhj/KC/cRyKVQBowGrKMPqB00uqLWWalUuP4Hqv6s2dYtuQ7Dxsj81t7nnHvuvdUBhVaACgAlAGxAUCCDktipoQgzQmGHbD3YCvuBdoQc4TD14nf/If8HP9jhsB/cKCyRIAlABaAa1K3bnWY365uZww8j5zplKQqsuvecvdf6mpyZo0vh1OU4InU5eH/B/eXy6v64e3EkdR/3eaCl67p///D8dPbT9flarEaMHGyXkpg7HyyF9aJMKhJqZuaUW0Ach8b0EjefggRncXZIcxZu4giWV7sxgyugZshNQihOx0JI9jE3ECzr2pUK1lJksFCH5b/aCclECJWRAh2/nOxipNRxXX2ufr52XLpZuSovSKR6ZVwCySQblyNe9no+E9GMI8+F1y9K4tvz3eMVDS9YsF51GOugugSe1cPjTPQHxWWvgNe7URCQ45AeqTOgAzzuj7zgPvQ19fRUPKJbiKO7GOhoVZ6P/eVXz/cv7y5HIsmH95fXl9/5w2//0Q/y7R8/3eEeqj48MQbj7DF4z9GDLfx3GPYai6Jzh2x2Dh83LWmEaZT7o2gv/GYq+gOQO30+sONcfGu36Fm4nd8e726hJUKPAI2b6dZ0ZG4zUlaXKaxrc+8XlnTY6siYvJOWfYcHmnFJMJWGfBXhj7sBkmC6ypB7X3vCSa0T/MzCdikwdnMJ8jaFRlMsTcCDUZyYczccBrHf/KH+LJqFNqXGZntlcM9mDJ8Shi03AOkeOuUP0tsf7As1QUujBgQmaxq6xR8OQyBN1JphoZiL4XASn9mGYXqa3PbHNcxq3Z/Y7sT7Q/OPsZTgdmaLJBl5cI4cAlbKbLHUPCaTLcUBs4aBvj1DPtnI/RXMFN2OSd1EUG4vx1jrblweSEKsGZysOvJTPEKjDZoB4QqkgPN+JHt72pnp0cAh3r7tRDjbybGhKe1vSQnpN58b6HIXLDY9miUVcUgnnR8AtRLhQ9gLFqieRDBwHZEE2b0jrRIqcZKZQd1MMEN/NpkDwc7nBre836y6BUPuNmb/e9/w/FEJBxtrLomfGp5wlRifbw9w24faIggjmkNkkdiexoR2WD9j+TYr3Oy3EL0nZI5lKJtFbFKYO/cCIZUP3u5tjKUQwRrNjqz3Ype12vTxKjjXnJZXUPOG8NhfmRMDJGBi9X1bvU9yt9wY6HV+hu8WObKHGtfSNKReTcGNh8dI+WM0aNwa/g9TsmtcgHL67GjDsF3LYQ8/B6qHZcAzDAxJFqZaA3Z3DFZWQmxhVs/kzhFetRmI7gWcpVq9igsc4dvkZZnkqFL6YDfEe1dAosFDaBWcb2JD1XSbg9pvFc9cQ5LoCaYxL7hhfAKa5kbcNqbB5C0GNswYE3rUG4sEwrSfcXAHaHgONunCaOeMektFNJWzWNa09haWj2d2fB7YLTqjUCArvcdb6kg0xRp0HAPNoIdIAif6zAdwIG5dInuXOXdJbWfH4PDaz5efBnUBGftFbVNRThByOLokLViqBpqgoom/3jzKTWxDDO4z33CD7x5pWtZnCmMn0MYcGFLtt3vPBy68Lrvah3uOwyZRvbUZ0+vM0j8MlOHmwCu1PQe2sIMF/Py7rlNcjsIMzpoogOoLLis60FRcKzJx5ImH8z2/8fDb/9Gv/Af/5V+/fOPpJ1/84P0b1DMfvro+1KnV5/NZT32e3aWz1IVu9WqJ3VIvTsBSk+wa/cpkEAMRvdSRgJCWRYpkh9LEVdcGxgBESI5d0piH4fk4APPYRtitxnW4aZrK8ux6hDY+GJ2As1SpZMCA2aq7O756ER/dHy9fXj56cX938MV9Jg0905ElSa7LqqUzDvY6aJgrqKX0AEhBOahdb5SuC5FbsBYzgIc3ULU3tZCrJ2IEAWrU7GYQ6VfOblBjfE783eXA8DARiRDC643JQVDySI58sktxuZgoNhVgFbnMmaJ0qFqZdMwj0sBm6/nsh6N5nutB17uj66wXL17ny5d3zHBHdyh0gV5k3F8ue/nz8SlW6AVDyfXwUKdd246Jg/OO2kHFyQiowAWF1VsRV7+kMzJ1Mntxki7Q0Yl0fl/eH3H30SXy7q3ePj61MtTl9i27cfJRivfPP/0C90cSzY/u8e787r///q/80c/9v//ss3q46KXI0zbjxgF1XqJqzCGRIXU2F0Eghn4sUKhb8Ujs/RobZLLiNkAEVX0rT3TgtHH4gSU1DeyW3nKfdQhrx2HB+q0qOgVueLa45ZUCCtx8Izc9/JCRmq0KGo6Ix8jBOiMyTMtzPvzogywpdT7XHLqIZHSetmc3I1QT2+ryWIVApaEcelmTSew+nBdPYT8KAISm+8RbRRVsRhgdmsRAdFQCyz3cIFfaZ79fOY/liVwWQHur9bhbBbdILo23Sqq4JQ0hoRrFyuiJp82Oecsbu/9oiHMgaAsoorlRbcC9IsFWjVzESJRvso2KI2mZQ4Zd0ya7AeLGyxKOKmgCvZc3OtUJW0U/8Dyh3qtepuMekZm57EA7scMNN0i0Q3RMn04EEYkxXbYlyRM5ExZ8YeJkVEIiMtTnjkfC4avGTafDQ5i5hUHcYx+hHVDdaPqQVGhX8whMQAuBWi78GmKlpFRJCScve6cvgWSGZ8tL0mLLVjkfDZgdKIS8xdla7hTcUznTg8qQUwk4CkubYHp3ppIUaa2+b2fAch9hUQKqU1Kre/pRo52Dih3uEzHRhH5g/OI7dWaFH2YyuwNRBkdd8/3s2z4TTg71n7UJiUXrmMZrjxt/2U0PYAbq9wTWarW3ITWg4Yox7gnvn7PgHkSVj4cOZsOXxM4LeOIdo9zmRrArmdy0lR/sCjr2Y6ReJjn3bOwMVWdyWFzFQKq7vVaiGbnJoknD8DAyNlY/wI3td0CPNZac/j19Gy1Ao6Upjf2ce4KZvD5DjNxQjR8jCr3QXajFs2KtrhbjUH0wjqNVIFF+ACQgQoEWDkFJlSN4ZqaJQNUsDNqWXqNQcJLZINISZKGvhwXH12CQUYuMIABbzK5ME0zFgbpEZauG8sgdWV3kDAUgLE3z3CTzcQEMrI2NOHi4cgFEcGI/W1Y3zMelVMNllLW/fm3cTKHFjG3pmNLaQ4u3IjiatbihCgOj7z8k0bljI2lgc067niy9aZU5ZULzduxUL1eGYSl6DzEfunz6JxsnmOfAU1KolA7uHHX7oFCTAW/BhQRwqwmcGmv/auJWeexq54dYjNuhgVtgQESpPI4M8GQAmuyw3QQUELQaijgUjTF1g9nNTGQDZPHglSGpnqlnfPKdb/72//Rv/t3/8hff8Qd//qM/O9/dPz0d5/V6vb7X2delx2vU0zV59DpVgGJVdfU6B2Yoe+L9pMVhfrfbIWSaCuIK6kE9W1uoYIWpkVdRHgkooaFjSJeg2w5FOit+wpbByrDXa2SUThSCduF0jxWzhjCJI3n/4vLq5f3Hry6f3l8ul+P+jiAuDUDlV4aBamAxMrPZOBbOOVAbc0rM8dCqRlIZlC0qXEKCdJPUh5mDmGJkpeWEAGjpPEAc9FQ/B0P0rW0oHPYMyVuvcue1jEN1zneO+zeJMaJooqFsxGMNGumD39xaHggcA2YybcFB8cDzwtuHVeex7u7WXeme16fq10yilZfEnZ4OpRd4ZepoXBIRuQovj+dvvLpjZvL69fMTSlCNtU/KwConQww1x83BRXRSDTGKSkegHcEi0ruuLtxYFNCdwW+8uCM+eq5HrqYzbstq/cBa767Fd/XiOC7ffX1c7x4e9P67f/p7f+83vvi/xg/++yf2sS4ZAS0EunO2toboSJPRXfr/OySb3I05gNrAFkdbwRKSo0Xtm2wgMS5+/y93f2wifYZyLGiuL7MTpMFVnUHLcaTBMSZuYCIOdszFxoU1rUttbsHWC2VPWJhrV4cOEhEZg3WRikgIJaWtt7JiYphKNG3M6UAIQRQcATpJclZiz4q+sV2yLWW13NeoYPhkNblqrfN21FozC3EHnTsDd0C9Daq03FikG9xA90xcE9kS3OvGKHhPps9gbQ55GOpJe3bhh0OtJToean8IoVGzOWuEOD1lmXAYH3x6boIX2lByhran1rbSwd9GNjLzgFNEP0B604tiAvP8IS2at/pRa3h+H/ctEjHBYBs7GjKmOYCpRsqLcZrPb5tMZYcQ0+y+1KNx1TyYZs4zVQ76BjjhgBBxgEK5Y/5gvRihsqYR3A+kNan7gSY9lhWKiiSISS+07PM2wE6wkzhUyIUs8iBbNvRFMojoikg1xuWJESZjK4120qDhwYqJweAOsorqzWdpeKjBXKwf0ARzORold/6pWbYFN3AqdZF+/8dPKkMCOMKRzbpt6caMAIA3H4+4S1GjA1Gbg+itJUh1C51TVlvpSL0JnVJ5bGNsyBgF20v9RHm4VxONlGDOa14Fj2XjQAOoZcg1dGdc3QSSkzR7NngKymSr3Jgafp/eVoI5rHk+QoC8r3gms8FASUxgoBOu3AX5SBQYwRohs32rpBQZHuZ+hrudVhClCRwKr+52OxIjRAdGnFeybQalieEAweDQpgRQ28po6W4edfJcqxYWLGqFunWwF2Yll9OIZ9SWgEMDDCwhTuTR/r0zI/U0QPbrM7HVIgS4nzs7y1ZVJY9ytW8RMFqCIZEwwgTPcI5liNhxoR8uFYOaSj0eNicAArZSITXzW02mzkZ0MHASNMEnE8hopwTsQ/TJSeQxZuSmo9c22yF/1ObOjbL1YkqspSwTpRZAiemYVkarcmI42u56pCLHQWnKAIzRymmDba6OjZgkDEP+8pWSPVwW47W1jzNUOe+LYKtbOCxfbSFnmRCmj/EjvX0MrnzckwvaELQgb0W+cT50Kq1uKSACZrnlPtIlKbzZa8R4o8GaiB2ovWGaw84inRITZHQcs+2LZ+j+que8W6/r1fvP8fTyzes/iN//X3z6e//g8vz0p3/5x0+Pbz56vmo9PT4/9fP1snTtZ6lW5qWutQQBda21dC4vDGcrW2scJwbdanLevAvYcPOEAjhjSkpwmb9qD+5ekWURaCjFrmSQgZwN2MP8HZ0Lqo5hqBDohWFCBnFjRGKOF4Ld+aLuj/jo/nh99+Ljl8eLl8eLIy1lCVSTg0ilFYzd1YjOA0QHEZmhMn62uhKgwewupwT4mBNTYdC7G5nlgURKen7r1X5LKLICNPxiDoqgZ3VtOSWlhPNukJpdVeU2YtY/ECHvNQtkGJOCG5jOnJ0bohhJCRG5MFTYaqQqMqmulvlwIRZ0aTw3VtXjur7q41GXV/f98PS4EJ++vHyMrDgYWEJ2v4y4ZiSEbt5VROr0YZv5/v7du6dr+Y60h9RQh+CUsEIzVCw2Ctm9SBY6sDLCECQrOvqSobYNTIQCqSCO/ihfPFW9ffN4Lh24tK7daucgnnx+f3l7t15/te7y/CTu6vOn7/7qp7/xT7/1x3/2/7g8fuuuPmY8CescDUOlyfBAAWnSP1zrXKfMsk05gLUZlDoBHQOr0O7fTQuMvrC7ZhiNEf1NK2AFvnsH9DCXxsIkDUqS2PGoA0xKm0nDjiTBEKQlmbKGMDnXxj60912ElnCgEAeRx2SLRjN3lEQmNUVYAaQnyBiwuw3anmD4/Gq0HegufDttXr6ItF4RsgrWIVYcP8Vg41CNMW7s0B4yRraMkQUwga5JN5wtUIb9jNML2dIs05a8l70mQd6kQe/8O8NpbTXSnGX+ryPDtQ89apr3rYtNpsYboJ/R12/g3lCTDMiG/bNlr5mNcE2Ms99kSdL+qZE1EjFfDkDVXi3upoUyKUNBwa6923IRdvWToNhdQ3mMC9fVSV49L2AvNpiS6kZCdK4IUFAgowXN5gI/TSYYGm3tly/xZBR4hoFuGZGio/zp2CwNZUFCvhoenv03TZjOj5dxC4cZeoZJ43d22KCVCWLihshItzd5qA36aAJWYmZCe0Uao55kH3DeWcwzPWin5U8VOdfJEMCGz0PstJwf0hKjcIUI+mQ8RXXQUoAYdgMQmMUgeUzE6zxm1EjSuvdmC3dN3ZXDEgWkqg6D5qJzTbYFuxFRMHros5fYJZLgXl+kaoQvnkcCoSSDEKS3UqJI1E7RFPyYuolXsdPQeefmtYgeszh0wu2NUQk3/RsGnaTPEVe7DDmE18O944BM55Fzv0alI/sWndLJPUeafDBBh+n6ZTnKoLSCdYCcXL0Zi/f9MNgMwNqFYXxEWHU/sBSw39SAGxgiz+dVS6u1WmsAIOu7RMbOfB/mnhAi0roerztMCqUOJG604n4xULMl1mREOusKe6fI5HKGuoZG3w0lLRm1RmE60iH84QROV+PwTpobfUps7b92Q6rBnyUe7FMMSw0oGLuCqwK364kDPmPoTU0wz60qywCPkYOYaNdRsA0zB4/bXldqdZBZHHD6Z7fGiA8UrqUXRrB6niRfE45NeCgb/5A9y7uQao5TcXgAjmcV3JTcrTj2LKgsBFNxe8Y8pwcOVXsL88jPBdyWSNoQ76E22eicuHkS9CYxGvrDLahjyHA/3g5XEg2DOMB7E6W0x9wpM34hnIyQqTMvWUD0AnB0KiEpL1/dnR9fH+Pd+bA+efu7/+mv/q3/6t/5xe+9+PFf/vDHP/msH14+vlP19XE9P11Lz3quk5U4G0AVqlnPq081okq+rT4cuhqdHUFZipiJYdJMeiZnNgyfdkIywIJlWh6hQkeEDaCR98wClDEigTki2qIR3zmL4hSMJUVKysNySP8B8pLx4kW8eHl58eru1f39q8TlwkveBcd7pc6IshS81eql4iJqrVoo5lrr7HZla+kgS9AqHuHjvOWtxMHubiWyA9m+KTqA6god1d2uDnUpdKAIbYEzoWEcB6eE3zfDcWF7ANZsUsOEUYjzKs1DHolohxBlDm/G/Th6dvf0oe64yy2lDQWTXRW6iKlw4gkCq9bj43LXda46H+vxuZ8/ev3xJV5cEHU5Z1sVL63sQOSZeEler9V3R/Jg66v3T410LZTIS/PKzGNNoo4CCXCgVJDK49g67vAm6IPQ6EJa9gamWemoT15f1OfX707VVZVgR+OkxIUrHx75xd27+5c44sjPX7z/7ud/4x/94h/9P7/1p//n6+W5+2Wu41l1B+OjA510yB5et0sGA31AdesGm8SGkjoY1RMLH4PseFPTHBHeO4beD+2t/G0yxFIBwj5ya91S6GOW4LlepKszLSXxjefQhC45Ym6w1cpPGJsIo5IiZ4KMGGOLu1cohEMp1h5b/DXBsCsv9hJEiOmUNatKkLK6bZJRsSNO0MgBQ0da70ACizn3YxlU12hUBWbCzslAMAoIiQkudDSgCFivM4ea/99W720T2FSudVBHRhkq6DhAETXWDgitQNQG54dZJnrOYHrHwIwZlqdh+Zf6NbQJZE6tsRTQLW6vOU/DKRHYFnJsv2zAfZGGrnT7NTi1CEaIkAojbbe8SPPVnR2qG+A3OrQYbF3qm6oBcKGlwSmz63Py0J88LBPXyA/GqJTjV7SSl7NeZPibjN56jw90ndUdM3KOzoXOtd1Sqd1q+5NR9pOiFXnL9TNoOKKS0WDdkDUI8rhOHk7ZgQZEEhrqikgPNXNeT9qU5SofMkjUsvNyeqbxd89g32EBWTQYagbK9LDmCSNaS12IIR60GtE1HUKbB8kx7x4j4nUVkQWgasCShWlFUiSWlNNhARrl/vQkI1Ox3K7MGI26yxaZGqJJTggCItp0hNkpKaSazq815AAFcvlrGY5y/wTqUEvpqEqMeG/zhEIgNfyTITf4nkWEJyq//DMhSF0WE7ktHqBuz7g+6830OaTcqfdtb88HTcGM6mBsR86Y22ZWjhjqpxsAMgdabm/l3BPI/lnGo1ueCn2DHeFhyLbUrNa64hSXUPiZRnVD9JogwQ6zecHWyoExmdnyRvQSHCkSJtXSTWn6NW1Po4VpqMcAmJbA+Djw9j8PKY04pntvHEKPT8bC8wlKpJFXZEJOhNFoU3zxeHsjRE7UMffcb4rMhokRO5t8uO2odA1owHq0cAO81IHZIdlTBDYxJstN9x7ikVi7md1Keo9h4/A3oAblIB7jjL8ZToyfyMFn+3i8QRf+u/vFxQeZxSb0KUy0O7e3wQOE/8qoLTVDAx0akHZZTCyWe17vSMFMIMMCBTAx50qEVA4e0a276Im9nwcRNrHbwev1sf56jUAwx1ZoGRgL4LYpjpEDk/Ny8XOI7szG00EdeMa7b7779/83v/aP/ulv5sfx/R/94N0PHs7nl+/fP6+H86x+PPs8gespUVW9upe61J117erumMEIPKQ1Ufjh3JKGYzY49H2NmpQ6AMUel4b2F47JYt9J2IkoMliS+AHrS8J0lyZmDEg7UhRUZ+R2IgfQkU3wcuEnL46PXl/u7o8j4kUyqSPCMZ0iVYij5WGmsy8h9NmQ9NxYXXXWUkejXKPV5xgWyBXI0g6JQnFHNsj+UGNkp6UCPearrgIZ0avEPBxLmEPJTa+fQQelxVZnCx0Weg0I3SyMmd+UnwU8TtL2JrUeZWTuraOIQiNF+Q3MdqdyQRPCEYiDNmgnUVAxAqv08HDiLnCuN3F9PPnmur716tXr+/tXcT0yqlSrT9UlLg0ese6yXr+4xKOYul6Pp2s+Xs8WHZl9AHEX56pCRNmT1a15g32QNdp7ZSHYjQry2Bs71DxydCEJ8eCru/vzgsdel0ussyyFL+Xz5YxnXN7q63y64/034tXn7378S7+kv/df/M2f/tF/e/7ZHeuKC49WxZkV9r4BkirEkwN7SB3JXrW50w9vd8h2ySJohg4DTO3Ba+qObH2DWX4n4hmL0Ifshh7/qZUA5q4xFpvbcSDuRpHT7WrnTltt5rOJgF8tlOD0n8krcWMvHT4ub0Cs+4PEiMntDjRgGaMc2ZMwAXjPolBlzbTFTpLIZg9A6Dw7w4cRrZ6jaH8ZbH3TjLwzXREuErF1GHYRlNtZSZbV3IQ1GCr5Z+AZE2pWCttoriEGPGb7SzoGx19s783wb/PUZejKTm7bLNy4u3Po3Vg6PIiAImhJr4+XQfw9a/jG2RfJ7mmzPf4N0Q5Tpy3sgcJaXW0RveQwKMriYEOJ2l4PUAK7lTHyF8wJ7abgBoLC3dn0HjfngZ+MuXGpKg68H2i1qb6gnPMsmDqwBsBNrecT2j8y5x+0cQ2rotJZL0FUM4QJb7A+nYBUHYfPRWEzE7MkJoxWKqxFcv6C5UU+9ieQYQD4DQVxhDFKaDV8skAWshlhaYg9q22H3ZLYoixaz5GuSFJCXc1yzJupHaqVPqPR+/EA1R1MUYePAvt0hXn0jPtDWzy2/MRxNIKTkzita3eTDs+sAAVudmNoLesrjX0DtYBApJnX5SYv5N1EVo+QM6YgS2XUGkNfRgOIyd60NH33MDO5IwZIdc5A29QpzpAT80K4mdHI7FLoRoe/pGsby5F5GlrhVpSm7oRD3X38f2BjOQ/30FB+rPyooKdJNHozau3Rw8SMHFvgZTlKDGhABQwxF0CUxFio1VzQ8qipyeKJDGuOfRd3UbethwcO3SZ+EQjLFwBk3ETfK2YhDo3VzCw0MLWdBSWLmfymAvsezgszLCEt9qj9E6bLnFjNAQzcKqeLuF95DiLvCNqY4JoAuXdd3B7RIMC8keHluhUV5X7MTwml5VXrrpxiQYCSLIRRy2jBgVbwkKpwkNGuT5oHYJIH/JzVh7bdVc0kQKg7drw254AcksiffirSpGn6kDbHj5kUepRHMwZNr699hUJajaB20nZIQg8bokFnYnYkbFYFN9p0qpKt6Jn76JFIZtjGNQTq6M9oIFYlx3cARljE0M2AmoEeOacPy14XReWRcHA+WnFE68ji23qX3+3//H/7B7//P/nuV+snX/7o6/c/5cNjPb+99nU9n+fDtXJlPqkQ3egqXlGiVq+zV1MrV2JizFxTmH4OUzPik1Q1IwGlaUJvLQST4f26cYziiml6sryoCwJZIo+Yo2Qhg83oCZSBoSpU+oWz1qvTykR0JC9HfHR3uXvJjz56+TIzo4KZB46e6QM5YpylbjBD3Y2WFFp9dqt6Fa4Nnd5SOcXf9hFYLrmIRAdAJTqC7JR6EdF1ZND+GlrAgOoOHo3GIpLSCvHm/J+Lx75WJL2FviCGlyB74NJOSbL3AehmZg0RVM3Nr9utloFuHEC50yBNnKWE5iUctXEhyEBkhLhaWUVHhMKJPfH++nx29h3W0/Pz8/n49PT68uLV/XF3HJfMR529cM/zkhHghYkLoAPVTy+O4+ku6uxusdnbHoNJVj57KtL0iB7AMfGmBnlr5BfObYzC2Z0IXuZ4592LfLGOK6rOkqPeaJf63fmM56g3D88fve77a9XT9et3P/7Nv/Y7f+0f/vL/6//051wvj/OiCOZTH4HT1q2WF3YBzIaszPIqN5T1gj2jQDdsZKJiQ+Zuz9JZtu7tjXnaAwBNWgcMA28n5xS9+fpENkoKOzTJMfVpSye5W0YGMJnrHgsac7bMzkjuMBkALWTE3tdRUqR3NsH6oQlFBXIsSxRnWw5uAWRyWoa4sGglO3D4EDKUaC+pVGF+HgR7Z32MXmfjmwNFmhNw+zIMnmoSfNw7NA96WgdVLjgaRAdba4TbKSogqaUIjmBoTib4MJ4ziyH3235Fwkh/qzgyXGGrXoDNn7ACAZiFXmYDJsQWo11FhDUWECosrPWsYZ3FxukHTIUx+20enQwnfMDjh8U3f9qeABz6ObuEoRjbBqZAx5zrc/jXfLsZrOF8kvnBmIcHnFGOI17aKkLJbrzRE3sVRvi0HEm1p9r8MMJiuHt+SHXyd91aYJvdN6cxilYv96oNNO8YDaY5/lQaxgXD6D1kSJAgaftnq4WkaHihnZBcAuWwJM6U7AGFYlginhNHyC3JQfBoVjALK4efb4qT5NZ25o7lrnojkQ7/gXc8d0fwGIbKCnPNuG71/oxhMLwL1jT/85r7LcfmmgYm10ZjTSIWebQ74ikDGe5gl9pJNiVxnmyrJ0oTPehcLeOSfqCqnVEb7T8eHnXSpeP2mdx1psxNsObZHVu9bpOlKZwtubI8e2QZfqg1b4iGQCRolT7M/ARuj1pstMKKf22uaehwQy1zoWagT0nKoBekTRnGrNnZM9atjfd1bZGtVlQXhNVd2xFuI5/L0t632dYsCRW35Q6xx7tGWZKtXd5YJRPDcCTezFFuiWOcHoHCrQ6QrY7IGfHm5fbyAs+U4/6fi4GcaC9O22+kex6c7cSmOxxfR1kYlBtjMHfZANMYcw+OIs4OZl+rDI8D4QmyHLUWBrt8ZwWggAOxM2nnk2GXRb8HnJnTD9ReveAv5DfcFdSoiW7w/hgcPMPtP45bwbEMkt6os/O0sEcb7LELg73P7+BNmH/T5aDQUTktuvN+XDCm/s/z5OcYNOFiq+CHgu/qyPmNmp5/GHnPi74l5UKeZPk+Ok9DlDKi2Z1IbijSnYKa3m20ViwF7+I+n/D1w/vXv1P/4L/5nd/7h7/6+Rc/ePOXD49vj8c3jw/vnh8f6+l6RvVxNq7dq06whXVVF3tVny2xluUOsXz3NmUiWM0+L1C33Urlzr9Djt22G8DnAGQOK+YHcZSxsaVZNeSg5wpgG7QSWJSTa+jBiMiZ6oSDGXh15Mcf3b18EcflclCRSUgnlXHqZISKSBYmVqGKoV4hFUq9pHNVnavkJhibKJYQvdaR3QoFD7F7mGwoJ5OnIXIJbQi2Fizaabah0pmAA7RNLYx0Zst+TO4lG7Gf8yMIZJkK0bytzpwtxYUq1IUaK14hQo5JigO9ZO1hRDSILku1Mps5lhTyiG4oUs2DsOmog1nVavDh7KODB5+F53p+n3X3kHeXIxmNvmTcX+4+PuK4hBuou4xrxx3rLvU+gUKrsxV56dCBpNhsFc5iNEoRqRzbLckWOxEtHkm1+5CUlu90NLo6SKAPxt0LvrjePdRKdIWKjGI9VySeyONyfvn+OV+dHz9/9O6z86NffPc7/+Rbf/YnP/r6/7P0kLgkeGQFmu1mLQBEakGUVRmbyM4YBM7tRBCLHTZcYQbUmFbNFcgRSRM5LTmkaVe66V2mlXL/Mwh5yWLRUMyO5+mUjAdaZ2FdQ8/Z5wN04+Cxa1mLgb6VNvNVF6BCh3qUJtZ9jQfdld/SEWxc2YismzIcobOyo1HZKKEJlWbdASYsOvwX0VQw4WtYhrlv1cMHYhma8ZkNMwaUGMMJazyawkxTlqYa9jDpgJB2qJtA0VHXDKimgmDYCsf+uWMdepxui02cCxaBWZjjttiS7djKQwAKlfUevofTrEjbUDtecIeyCvvIm+NPGhTTJ9X+9XO874digFNfl/A38Jyx4aSAjDEPMSV3xlONPdCWD2baVhkYd+wYlT2AGND3bdwqD1hH4WTRUX2QMHZulFbWkDjeQ/MN/RPtYo6Rhm01m4+0aGquJqf7QY0XebbZB3vvL/N/IkWVgqAuYam1X6Y2JrYbVYlMe6ypHag+rYL/AgP9ISzEcxen6Zik1nlFuyDIMG+Pjk9qFFstKacdc9KMbg/wnpB8qHUfBY0Hlgwih2HxhpiNeg6nNZ2xoeaRLBW98YzWVXeEt8rP0q+j1WRThwnpPhdHmwPZPukTtXY65s5CJLCXcJkHmydVUHdHolpiIkowNOXv1k4n98XZErVp9aS5uLYDTGfi13caeir9eji1h639Vz34NToByfAGOEIMzOJEgciSFBn2VIhJThTAjdQSQd9p2GMMWD/hyqEZfwchMbK93xx1UGtan1pDnvoTelWaFVwkHJgJ0DZeQaWG4hjFgJsIFnW4vnYQq+fp8zxtIuc2jcwruHnOFO3GEHekoJ/mzdKZDTb3ZWBkavGufX4JpnkOBm08sChJIsKTPqOlhENu55I4LcFETvoFcBbJplmCBjxNUY30yP5uRzbO+syW8yFG73VrnWMmOLXpwT2qTNiECabdmQ9F4S87Mlp/aY3icqxN+9v6F5WQAonJdEXAGntoj6LmrAY9A9F7/wKG6hqFuQ+NuA2C0D6DfT7BLGrvE8FzCQmaW/ftaKcojXt8IIkZTP0Lh570Ob0Tr0JRSXY7JXJ0aASDiDgApKJZAnABaj2c9b5f/NXzv/hv/qN/6x9efvj1f/fwg3h+e/fw9duv3r9Zz3mejeL1VJx87lXiuYAuLaxrQdnly08u82Wjzi84Wc1nFVqauJzmbDLwOR+y6A0SEgt9p1XqO0PSTtm8IZXyRfKblc3ORrM1HEKz/SbswQqwq8OQQR58+fLy4uDlggtrCJVxQZ0Hc5aYVgOzxDPUC1BRJ+Sv0YQuqAUT8qvEKJDmx5GZAXiGx5ZldgSDWoVM1OmHuiAhs2bvbzOiZ2MmSaiiadYRmpVexmEjRaky2EwLiGKEHQ6MQYKWGy5EglWNjBRsr6UVdlPZRbLVPCKU6eihyxHFFjJmZ2ZgYovJkqMvu9FxSsmjrmf3cVJROGM9RecVd+w84jn9eNx9RGYcBO8Sd6XDfWSFAlaxdy8/1wkgdTQUXXJOsEbHgNoKUR8iDXK6QxEdil7VkU6Fo7Jz5f2dzoVKshhNo6SrdO1+fNSbd+frF3h9/3rp7uuvP/uF3/zO7//hL//ff/Tj65/fC1fgjuy+iCV2Ri2jVEvTugZz2YUMYRaqpzH/tIuhYPFXIDosCr5N+qPwAWzExIfzxkYpU6ojrMvdRIUBG6f5uZjtMBiY4TRsQbF7RK+wIZQf1ixoBO0xetABNtWqQ8PCeuXQhpBaceS0QFPR9AF5QQd7ecEQJmzeIQ0xQgt3nl5lJnuBsiBYnxmKqarCYF+uczHYwUCHIujlwBkOaghCjeChLJZaYUgTnHyawW57bBi0v8X4liXzHgH80SdQr2a55KD9QmLWBLh1VdDLjrHPUXdrAokFZkxw4ER6q+XeihbL7FNpWkqTDRq8HNg58THskHG6LS3eAJVPheScmvSRS9hzpZEWiJE2Q85J77sdObwbRk7PMdMqhmmGZycKO/nKRLYRKYO1HaOxnLgJAM2ijPvLZH05VD7CTtXJOPEJOd0/Rh2xM6YYhDq86xGEutMO5U3Xi0LFQDxt91uo4MByGz5jSAzIDmh/ZiUmvxR7dh31bIlg7nwdn+F+owLwZlNhaiJsc1HUVOcuP20mknb4Bahk2h6NQNRNp2J+m0dUVyRQhE80mwHHGjGvNWxlsKJnOmE4r8hPmB/nGWIl1jS5Ks7kLTFLfXgga00Yxw4q4gDVjlUUW+neZncxC141PfZLKsQudVQjjp5Bs23q6RbSUhHvUB/YA0IZZ9LIbXxM+6mMnxEBDi840rqw4B+bOJC2zhGE94K0nHixD4bZd0LIojyNGSA469E6OIINZ3D42rrXGiXKvGJ+HIaQhoBSFaAqOPjLvWBsEuaD5mxuRFtJBP+mcCBcQtJBFBGplo44BN30lvP4DNqi4YGNKIKWddoNOlXdJKcakaN7m0dHwk7k3TAROeoTawicP2mlVHO/idNsom27FL1zT5N6ybilFWVY/uHnPhFrQIV2GFlTWLcCbUunJoDIezzs3tiFbjAtcmzcRsOmcGoUuAA30G5ohLCGdmZ9bDKZexyCOiZTdeR7ImysIYSNZQhDCgxhsHEZMJQYCaLDIuZBu6mtTLWN4k4l5XA7GyxzaZ003rEEbk0tjHg3K2zONsqMybvRjBk9pIY/tEAs6Nja3o62RgGkgzs6Qli2ilcqebmcca3z+fzqV//Gb/zB//H1b//2y//hz/7s7ed8elfPbx8+f/uun7DWczWiAlesrvPaXUKxW7qChavXVamAi280Bb+A1rcGrZRrT9ia5Qh7YIQINCOGxupMMHCIHcyg0MwY0sN11bC+ZIOAAdaWNS1GUAwPOpONHcq0bL1fHHd5f3RjVVOVh/chOIE4uqXlB+Ako1vRInEQSylIrbWuC3yqbqlK3eUkfXqS9KDXjaQfDmKHTkllSn4kh9sdUuK0b4mlDO/fYAGH2c5qeyiN9kY5/bQYUc6tEowUkN6VFylwFLHTlcS2s2mRF0YLcQaDBakYPHgQPI4Z9d1w3+6KO46uGEW06yjDhaB7oXTorMgVTKnOFp+fmXfHOpBoXV7xfeW9GJHp3oSLQEgh1KKPIMXgbMxMdF0RqaoAeyeF7XaogQxfnwhaXJnU2VCUH621BGuXYt29PK66dqkYsR1g11MJPr55/vx+XS6ffvvTj56+fnv95Ovf/ve+/eP//vlPHp7O98939Uq9nvmEBlCtCKiCmHQzNmaHriPifDgBo8OR7QkmPEdFHpyGm9gjjPloS6GtXzUAbqhvxLkWX5nHH3RyiCDPE4PPfah6mFgeccLsvVdoYCMrdFxbnKfqIYPSER4Sd9WZhnH7cwkVlRqOzjp6T/Q5L6ph3pWk0tSq/ckkOgNrd/FWnDbWbMMBtoOaYojVvpROdjSVsSUuI/mZ8z+kNnwmOcWa00H52zXsEbLHEB+6paHH3YBHJkplycsQKcPyMrW10SznSzQYyA6xrM81UOEUB3RP3Gg19i2366knOANTBL1fZI5auz02bDX8t5unuVu7779Jj0Y9dMMTGzxiBFRbQNIUWjVpQdbFdscBWVRivFCzkGdj4i31CKBnY7n19L6KbQ2FRxivnPeBmchyKeQM6yFAdvXlGGOMi90kamLcbonZY/tTLMqgMAKToSSAOVD9f0OZ0VAzk2NgtknQOSnepzn5191OomP0qG04WqRRKMl8+4CEmvZuxgdaMSDQgMpcEbRvpIO6EllqzyVt2bZ7IyByE9wqj9dH27d9WyCC+fVthLAJE1uAAM+90yjbgjthELyNheYTtPuWjg5FzWAIK4ebboyynaNWJrGMNxjkZE8Z8DVXYIIjHcPY3RGoVmYeopaK5hu8IKxYx6ivJUpMq5+w6ZDGUGLe9EgwxVYPguJWHdU5p47pE4JSNe1qV8DAucmH8YORgMqNeTOyvQPCX8NWpRiYVW18jd2RMeNVE27P6bBZDADVzn8oC7yIjhq7j5syhFQIqpNe38ud0zLRzGmI2JtzAAUL9HYritWLkfPLOP3kvrfmNgwhM7AN4s619VwsOhpxrLBAT+ltTqE2vQlJQnbAy+D83KOctxvTw1JQhFTcu8vFcOmaR6v32+LUN2cjUOhFjkisi0Che5l3VcyyGgsWNyB1Ixt92CgnnckyhJHNzRNuQsoxvRN8I07OojSvssciD48DklFjVrYfYcbfrfOhY68GJxiAGmZOb6tK4OOlhVvSmTv3MFE/KxTa+F/MByBGXoaZc+YJFSdoSrt5FbsG7592ByCxE/3G+z6v0bxXklXyInn4puWFXv5oPysgoBOX6O4oRVGP90/9+W/941/9p//s76zf//5/+/1/df3BgafL47uvvnh8v0StS6BZ6+lsNs/n7mtXVSHO5sgOJnEusNR5y7QTGQZia8llhkQbDqQHX0Swo22DsCnKF7mkOGIABnwIXzB6SgYKnXBb2tYDZVV1MAVMou2go3YaNcREdHafemZfT7y6HHWtu3tQKelcIfTqFcH0FhRhuUQBZ0jdLazmedbzudZV5zRrEpSSXMfyQ0/iQ6rnUdrjpxcU0kvDAG4ZOBTp+W6QO9P7mYYBdGjSAFqOvwM39esug9sv3m0A1sioPTMhTH4tCpFs74mIoadGyDCDJhgLOiKSia6K7KhDYAVYsTAMANM+mWDwiqaUheou5EEtnWsRXafu1rNevsrXd7jc4S74LJZvdFDXXt0GFOlgainJ5IG7qLMJnIpJC0jJEslwFxqmv0bhpjoiuxtVBZbA6q7jiD6rjiPXUvRqE2lCnXXieObzm6d89ebtx/fQHX/8o69+8Ze+9bv/+Ltf/ORf//RfCF+yM2bQL+ZoUEXGGmSupwuPkVn5/Q5GTeoDoHnXa6xQI3nxVtTAQFOWMrltx9B7zdxc9EgIJg7UZaUESjG2Om0iG5wm2u0/pAnL4DR2ofAZivlEW9skdDcKOdylSS2WSxsAMieaZDw26ACXNpy0SdUun3FlkVYYeh3wwiOx31OSOfaq7VdywAwWt8nY7L1d0VJD7bALCkYD0IjxxILxM+SEKBVzvKrTdYocOM7JrEDbGKuuCVuCNNtlNEO2VdDOGvE/cvvtZIvbAQzSWUj+BD5vjr2TRxJCh8lpg4Eo+idDbcfraJ3bDDeGINbGD6KgAywrl4cxH+DOB0NiaAv6GdjYK3XAuZAbppJykOUpTjE805hHfdtijMkaOuSDDsjg1nQP3JT4jHAIouDFYEMEyC5fNyGzjJIAUAj3bqaqytobViiM7obPUKRpY+WW58R8bghWj5TINNQ3oymPPQ3PBZuUwN1suK2IATa20qOnMo/kJFk93YJ7nig11lwWClzFuX9QOR9pRyW5MYMGxhvo1j+ZPNJtbSvoHat0eL51KwJrupAtueCcPNizGjcAZlRxcEGHcjRQF4StE5ORczsoS7OZg9uJHYZWbKxDBBeZUHStSC84C0173B53IK2uw7xVHxBaOJhMoBhAdRuYZdgtoc6xKE06rmdwBjOCs9PQ6KHphC1THDCVGT+T24u8kWJjjKOAiBDRI0CLEJtrT1Juptk9GwQhMDW7vY3x72PYFJXZDat0vVsNkpx2QKDLi2l6ZpnosZ7glm3KQY4z2GMjJkQkBWUEFnUwuqVQkmr2CAAw86fHNGA4Gz+ikFvwebyxI/2wYQKPIcYjYWzfQ3aPt4MiuITLYFdzV0GQatmEdWNcRr7dirDPmYZ+yehSsDvnVG7n+kgkJ6NFZbEOA2BWK0YyFqMc3NxyeVifCc0FywDWZGjGDeH0r5mJB1td47Zxd/e+efT84lFit2ZzZHinoa+LsR1gXHV0E+kO1NFOt48Fsy4zqsWu4qP+gGDAcTRFQSjY7r94W+1ATrqSRswZm1Mm0CqHQlqFtN8B+SqyE2lZt58WKo5oWL7FDqJ4EBUXqJJZufJ8Pt/117/5D375H//v/sa3f/vHf/Kvr+cX50PV49vHp6enqEuuuvJ5nXg+q66hk9cnLKiVKlI6e0ULEeWn5Zi50UCt3ABZCUYB2d6CwvACSEbYP4lpC5ITAZZ7ZguiZPIgWWiveBARSZ8tGroIvRibShiAOhhIsWz0ymwjnOfZyNR1PVUzeF1Mj41VoM5uBg4hUxFuyaIVzIXOqkLLJ+EyDiL7aYevBk28RI60UEmngJKTQNuDpClqMloJYgGHr5IQUMw0l4a8afNLIyaCh4jhrsIFSk1GsTmLJh08sX0wypPrcP1yotUknjWoaGUmB+TsJKuYdBJBJRN36fyfujuOc5V4aTUkdC2bhdRJtpOnu5E+Jgxdt/jm8eld6PJ8eXmsF/f58sX9Q9fT9byuqNCVFRF1VisSpZznJ9FHUPfA2dlu98oBDimqS8Pa5ygfe94sCld1MGupQ0QDGTzAaxzUU9xezSIqaq3j+iW/jqcXz/yF+uTyiOcvf/RL3/vuX/kn3z2ffvquofd2Vy5e78hUr7N5aSRofs+NgjOvYDDUWZfGlkcwgt1YzsO99w9NX7CDTTiBHa61Ni7bvsWAF5Ng4gVoJGTzg9q/TxND70PI0lBoFJqe9poIJFFoixqGXphtuZ4UOeJOp4tjyie6aRy358MVvJtcYWVwXwAdcRVqARKOCFhy4QRFBSLQTXrCdsz1iAtcIwOt8HI6ZaNjRhm32ub3bG8CrMWqchOPAUfGIq1AhqkODbdsbbV3V8VgPzaUkVD5/ghuce3T8KkAKTPKei4ZXIVa4cl84pHAUYLhplZoDNkec1juIH6mRj8lY0rW0Lpt7+E8U11BIMK7eIK2gnLLkxoMr2zzOXcD9AwuESTVHR1NE1McgeIYCobfdl80cHeZfzZQDqDbjGAj6d1sPY+Df9kCk+OmwM5MUm4WQgCzMUQeP1g7hmCxGBybDEOhSSep2Hdk1yekY05/U3CxCpm5pDTg2Ul0UT6NgTrGHIehEnwrfUJTtlN5ACe2wZpkskt2bQ+XhxEVeA7pYm2RV7VIZpTnhg62G3olIFrCuX8TrN4ltDNvD9NjGRrqoisxL4RBQ4/y0vQWTLBxzL8fD13MPGT3G4e7ECoV3VNwCPOMAERUMKQtIS4M8EmyIoIQw6bkinknKwwfYzI2NSSZDml1gj3He3Ox3FrNStPoBbDLu8QNojOtpGs/XnDiNhLaP9hIaWyrXzciis2iQt6oQ5nf5IhDcNBBlC1M4phVFo6PAKd4wgwu05CibS+D4I+CzbPAfEVTU6reQiFQHd2DjFgViK26ASEUkZHuUska86ZH/1YwZ3INOlDOsEhKO/xraHHn9BDsw1NQqbJHSrZi4AaMdsbUnVFCxqxB/4DYjHLEUGQMF0MdkKw6/5Bnt/VuNkS1acL2vpNhWwaE6aaiJ+u/Bcs8O9tLC27CHtsgOryLKDxeNDswUS1DfTQHEvPphQH+B2TiKC19CdojIYiQymC8wJ/tzxVKeTAdiakkze6KxqjLQl2GPHzkTvd6s5Nv4MTSUneH5q2BnRUa3E8uUP4LdVsoQSP2LjWYFKx5G7d0aOoUPLU57ZIDHG/2whrI7C0nMsJPHk4s6uBEtoM9qZASQ3m+WC/Psx/j3b/7j771h//17337V/gv/vQHz5/F8zu9ffPufOpa7IKu4rXOZ16vWE+rPP+JdQKo2irQqSOavOABV2wm8/AI0g6VXWynTZn4qfF0RBQiSSKRpIy6KnG0AfVx9xuzGBKUCCR2mrA8h0Vt+ENYsGIjnLega+NY1aJ6XZ+XZMFK4WfsCXnwkrxcjrtUoA9cwvGyS1Cviip1i6WKZEziIUWblEet5jUA3hvqdds+BxElbxCKoIqRPuXTaqkRi5HKODD42+BQmS04DR3ssZgJjVCJoaKi2ASOzFo6ZpMqLqhDxEbdijpImBeyzk1QKCMgqpgkjgYzwYh+8fJ4fblAcZ7n03F3XWuV3cpAL61q7OzRaDGjq4pOV043w2dez3p/Pd+iL096+f59311wHr2WCqHu6jhCpRXKATEpisGjybxkyiHaqq6mUlqHuoooLHq2Q3QXlJYDdQMIrYU0HKADqGRdKHWVpOCR69rnRfdXvX2zXtxfXx4P8foTvL0eL776K3/tG1//GP/m3ef14757d9HiCiwJ6OO4wF6AMKti929sYYlrqHP6xNFLx1hVht2Ngcql7fIzsTPlzqaPXfQgaHQj+hm8df7/ubdzRAnG8wU7z2rK6PQf2FTi8MEjZZDp1SF4q5rZwe3+c5NNv4wH1Ji5pAkaup3TG84HUZfmPI5Ql38U6DS8OYM2fjlYfVvGZcu5y+to/fx9vRWChc2GGvmZUFWMnofb7hs3wGqosW5xooMkL2y14mZjZZNUb0dPREpqFcFINSapQOPu76Fvb2uGFEo4TFL72xpp23r73V2Be+B2KI3A7SNoOMbdPWiYgafNOn4Ywh7CdmgxjyF+0Fox1LwBakOcpqCk2mdcW3A6m7GCH6aUgegBmQoaGS5mJpNdL/SiIy8iMDelGaU8m3ywg/uP7d2r7kqYofYuI45UeLiDLZptADc2sGs/rxVk2Oc6OuMRloaPXM+4mG6WhroPuzjb+PuWn6eZ5RhVxR6XjEQHDGbWKh/rviS2RrO7CYi9AKJXt5tu4503V7qPaAXoFOCBIX3kjawSgs2n1HFkaDx8DIqZ8kyaHcglsdrmBGDPSE6s8C4JDK+w2x2ThvM8H/DOWOQstkQEHClLCc04Rk/h9hm1/DSOoMHBKC1FKpCWpfdW5A3a6XUU4+JBFCAx2EXTL2ECY9oqz2ezHXXw8iGeFDg0naU1AgtjLjCO6tAWWF1PaLH9c4cjI9SKximMVMtqdQHpJ0U+L3SbOC3KEuElelt06Ej3hhztJb9H8LvaLZWbUcvrEDE4j2xjEcJCLV9XzzeAIcACjmF1AaCcRwU5vEIzpIj257lMQbCsCZuFhpU+tmx/QP31gUgUIAdF0vHS9kkLgOKGa5s38q+OUG9X/7QN8+rEdi44L26zjDsEGcNUd9hG33MowYlx08qUmZ6bE9c3CKHlE2UrxIyPkl4mOxwrdqwY+TOCPaSDUdzfB6Jbc3k+GMk2tTDtU4wIy7TZBnOw3eSjdHWljvlTrk0iHa5rvHlOsW4FuyPHNq1RuLoEmwQxeS3cyMZ9koP4UIfF0QTDmUsxUyfDI5S7gXAtHyCxGTT9SdCJbkxl04SJUgwdurtWPz/r/fXt9/7j7/7Tf/5XX/3q45/+5Kfnjy7v1vXpzbmexGIVtHo96Xrl83P1c/fVR4qjDDQpcXOQoBXjYefQL4bBBusENFtCCE5Ya/hMnZE1iFFEYrDcOMKClLYwYoNsPe4ib0gUWKjYzwDQGU4xyNvISHZXcEIJzhNX9HU9bRo0pp1QN5RQR+d51OVSVUrdXSKjV3d5TZ0OaVVXGxHxjvPpzxj2DELcWDVXFAthF2AQKN9G2TWCxJ6QPCaEQpO5ySSrx7dujs1xHvAuKsoz8ubVFcbgSKlLDFYwPJR5F1VOrOTICw9ZeugZgCNgCibDhSgR4Iu747sfv/jVb37r4yPfP68v3r39/P3DZ2+fnqVGZF6ACFbVNLOlAsGmzlmAhmAGgMBChdbCu7V0QuhaWivmMCm4+gLG+ZFHpmTIZjY+a6f/SRUoxNWCv2pGHFQ1mx3lbqW61Yk+S0gH7rifJdERUe0Ldj3r+eBx4s2b55eXTLz7iBd99fjNT1/+5t/95uPXD3/xf0OvXG+fyMYFzYhqRKjb0nICnI06drqYAHTemRmxJQQjZhfrfvLVC/O5mgGaQ8AG9+kxe/e2GAmGh9/hvqemzd/iBAcaFvBKSE71m0plVNAHzUzOZNUA0ewGJpbLGE1P7m4UlKoWO4NoJdoppOjEVuFS3WqPRRK9QRTKEmhCblBfN6n+P0NfuUXYc2+PTHPQKicriSjeHNUTsLLLaBhSMikitMGYctcedAF2o2tafSr8FqHuOM4Oxc006PfFK7do63BFoIySt5Dbr+wZyBBTzxqOuS2KLbIbrBIhMFBjnBh50g5AUiuiu9meqoyCye4WjACk0UxaOFhzTs8UN7yxUwpMZNqBsM/smy51+3v3ZOIq7Zh6/4MhFSYrJLQH2N5bK81EuFfZA6/hSCbRzYyJRrRhUUZ/jYJs3t79nKPnUxuap6cKHprDbWhv7Ybf41f4kI8gOBt4JM8PmsmRW0mMdpj8nMUu39W0iHk2vnlmZxCOdxTsxbH43Q0b5hyspvlTd7D2jcMqekKFyBurcSM7gNnYRABoHm4zLDT3w5kYn0hgAv8HqIHIWfxJZYxUKqb5D0/lIkQdnYqZdNU1Yi94HfhIp6waYo0Wwd8hgQUKiLs0nkxeDGXC+Iuz/234oQ5pTZadb7A9fGO4Lxyub1YCdrtdQngjnsKrL3xm+tWzwBfdWEY+MdM20EM8tCKiWjIrZgWJENHoWOV8n6AntMTRDFaX09Mnb81VJoizbsB4QBScque/TBXOUE5iF1uOhJ6pzyUMcevnjI1QGLHbZgAxGwm7O8PaGJdlAwVJ+QhtMmI8QRv9thXCLe88tjMJxrx289a7OBh6HAHRwNzGk26r5Gk1aGgbDoBw+bWCKPoD9m192Jw25Db8O767nOeDoOwYcdELdh85jO8YadFd20KCecP320jiRob3LCwLYnBO1jTUe57StIjabSNm9LFmZKMP5EiFpnAZyBlG0OrJ8ZO1NtI2ZIXlcCLCZ/g82XMS+/L7GKNTqoR0dIBxDJpTdu3df30fui6qnBg/eJPD6HwJEwbIcWWPtIVTkGfykdVutRsAT2qjEQprH1ipS0TjOZqx4vK03vHxt/6z7/yT//pv3v/a4/c///7jT7O+PB767LP6VLSO1Y+P6+GK53ddq9TWLqGECTa2wH5uBAzdmBJyloRZCXpO8PlN40WdET5JEa1W0iERDZIpS3sc2WN/HXAqdoEd4hehcQd0CWWNVdQ+yObB8E2Z5KadaQd0t0HEnCAAIlmtRDqUGY3rWuzkAZI6+tC5iimV1rn6WlpTPs1l+2HcQekRGBi3OI4IxCIzGzXKsEQXI1wfQlgNHBbk77mdNXomz7y3ZaYwxj0bJgJhPmJ6e+fLMInNtYBUe/3yEg9SLSaadYCUToSvQcQRETqIiDgsAgp+4+Xdv/2Nb/36Jx+9jkt/Eo/f+eaXz9e/fPvuL37y1Wdv3j8+X5vsA1ccqW5cIKrLBdsIV6GJRJblqOjojl5aup4VIypuoLojukvZCXQtEsy4O0gnSzIPNZoXYYE4VaeCej67O7DqKnS0UNTFlrYO1FmC1pK9zjh5kB0Wnwb6DJA8nvHE8/7pgV/fPeXLI1/G+f6Q3vPjd7/y+5++/VE9VOAunr98V4t3dSd2WTzhLdEgMrrBBrJVE4cyADu2KsX6ckarbJ4wqz5j82Gv341A1nSPgyr2HFoW//QGDgjOqvTp06YyuYY7Fyrb7P7G0TZNl9w7vQgyGpW29k6wW6tT0MFW5whAJpMXAQdJ7UWxFs4OU1Aza9QolQ0uld9G0RC0Zxx1S7ddJpid7e7Xpqf2h+GsexoQR6C1wsD8FV+syeOZOG8xYlPJHXNMmIr28bZTJwQity7XayfpgH9X1mTvrILpT+UFWxS9CwC7AeCtxGuC8MZ3ebsphrQNEvn6eyrcWYIGswn1TkkZRVgFA2mEGbAqXpok8/RiKatLwFs777lgDsc5C+PWWRDO+XEXwj0/BFENqwg0GVwBDFIM4/4YndXA7/6RsysT7VUn0WiHBs451d0MOetrSxHMQEFdkeHl9N5bHDORmDZWEQltByOdv3E4Z52zKsE4Xe5tGAnDKBZfbRHehOTNlTaW4gaKDEY5Wk8zklq/dgy1Y+YxYPkyp2Xyzog2IqbwOKzImWiHnp5AiBkVPfyIOqy4/AClAlYF7wdNAlUYINmSfcvGR67QRpcPQakcxgvI7RhvXC5kHPbHY4auWKP0gDHM8hhzMSQ/72oDONKv9+Xw9eN4jsyu+cGb51+KEIs8YsO/GeTWUs/kZ9GVZNVmG5YPru4k1ocp1fO50YDeDdrQnlptIqccv9CQdEjdXVILYTkIELBADUfm2NQ9TEwTj26bNtVL5tXFBe6oexKlzmhAperd+8DlYnONkydlsVmBsakCWH+494/FtKQD2BOhlArMm5CpqoJI5LaoDK21m2ZSy3yRJKdnmhzmGJVy7Isb8ZvhaUgYmzhmtHIMhYDxl236ZyPoDTk9YhKVXMYUZQ+Wb7t1HBA+kKwxmjpGb4RenX5iMRDuiELs4IIHGY9it1UjM2oOZO5JR+g5b+Zj4/DGtPlDzojzs+vH1Y/OSDRjFy5TI/0zzSznUR3VUIdhLRnFac5sb4DA6yeH3OLNcI0NXPsIcq302MCkPEP6GvrYmFAFeKAb+tCFwJy0ua/Q5o/Z+3uOCTlsVY/wMaSGcrJ0V66LLrkuT+fztd//+t//5v/on/+Nu185v//jvzi/fFmP610967r6uRI4r/14rqfnPt93n+ql6mWWs1uqOcGBaFA2i0sTXdsNsm8aZE6oK3KIqciZ2fYphCGcM0kch71LHQdbnsRrCClRKSHY4xuhlhBWYMKr8PaL4bm0RDpTE5mceVHV55DODnkDBC2vxhLVh9mijmZU9bkMF0iNiqPBtXq1VO5Y2g2RD+72w9we/wFkOu4RXRGsyhixV1laOjrj5bbFeo2IiPB0j41fxVbBUVsnfQt9i3ZahIw/M3q7gHkT/vkMDBIseJcvotlHEznWoMikEGSkDp/aTRAf31++/fL+RURoBfKbd8cndx//8scf/9Y3P/ns7fOf//SLv/jyyy8eHq64XCJQ4tx1iO0sHnZCiNaiEtGtJK7Bus6r15PJIM2eUS8o8xIT1OpMknkRGpnZRdyJSyqpn6OqTrV6qdnNjGR3FUGsKhUBrVqx4yiFPFDLMamaKI4mzxLPeP9w3r17vAu9+uh4h/Vc7771i7/6m//ep//6+Su9yqVDX59RR+mZO0TT/Y2cKz5QY9jCZEmBg51AeqcO4KPZJ9tQk6KXMWln/0/6mHstwQDR7bTWbvj9EESMwZTThkd48foA7NbJuN10iZQsN5Jc8ghL6hqdGqFF+k2RaoHs1A3/lAF1ozUD+Aj7gQUY7CU1cjbm0NsYd68xET/TNLp7b+P742TFwEb+7wNx+ftsLniaX3sJoeEE5krvsQMqxdEjU7dpbeYYOI8yYlsopiNH9xRsJlNcq+ndABZeDPAmyE+oJh7P5xtHXe/ibzCOkLXgLYT2gLXHjfENAxpsD3aIYvKT4YwhbjWuT1szfT4RB3cUbCBsOgbQT40hL37oWTgt9+BYH0RlbGJGBOMEsu+byRiGjwrGPIaDYTFGux/T/nluAyLghUlM7ba2gZ2tZ3KFW0jVYm4sYK4ZfOoLdpqGyNxPWE6b4Xjb0TmnXSaBlNOIKKEYzu2rW6YWDItrsxvTYR+YdWPeMifFLbkaAlA1g0h0YJU00nKB6NWy6HZGbMyrYv2SsF07LLtIZcl+u8k9nB1DbPMkt9vScKtARqaHK/EwvxIzQPTylBtIRh2TgKrIxH4+Op165LrqPwq1jvQJjBA6KUQ1MixjAHA49VmS4qDFENZCeHgcjVOY1+NCA1KJF0zQUTIYQMQh3XISdMJdigfjCBQyu4Dgamc3YfZoNRgMdQ3sgQJiLhdaxFrEMSov9RWEIzLbgiH1sUNbkZxgftj3S88NEHhUVY+r2L1cYKeoq5tILkjqyT/SuPNAhrqm7RkZ1YdXCCMwGfLK1r3uHljapNPeDOm6EtgGpBtDAGpyCTHUu6U0E1NUfuddbwYIadryahutiRCbyAwFzXS1KzgIzVatTbNhMn32cbVN2J4YCp2zjc1olQAYZk3nGgTkxeeSlRZtsqY8ibgIjDtqPHy7avpTWbWO8Rnchj/ASgt3l+MTjm57sMFNjKhvFx9bK2uAaFYMF3dC1UBuU9ZmYNpKm5kAt9DUQJ9GTuW/PuCsg21daQc/u22hHHxicjRuvb7s4xox4p4qfVbNnM5RvmFzABDoTZcDyii8n2iM2La9sY5IXu8qg1wveunN9etf+9s//z/+53/39a89/clnP1hfRL+5PL59d9ZjnlFL19XXaz8+1fV51erq8GDsCAgJnSErnJBwnk9DUkYIjQSdYzaoCk7SLxBBpNWX6GDStsFmkGEOVdySAG4xkYu7ho8nUI7OCpv/pqt19voIXw8GZkeoDK3dwk88LnYJB7qZC0geCLFQrSCLC61yflM1UcJz48I80bnWKj1XVa2yzEpBobqTIZWoVGkj9WanGmysQyPIBZw0wJkI5703UaRwhqID4zIDXZrnuDfEJowE0/El6qXgQWrRcwehm6OTI24juYRgtVPcZgBLdauPaQHJPhBElvogKxiB++Py8hKgnoRDUQ/PR5z3wReX+2/9wqtf/flPP3v6te//8M//6KuHn3zx1bU74wASauvrDC08Kw8ekFrdjNVFVcwpQ6Ai2FRELcfSYHw8sN+xEHkGD27zHqXM4EKrV8v6RHnabGar6dSmZKOagJYrpwHiTLZb4mz1kdLi1XlWT8qvzkvcIZp67vPy0G9/7je+8eWX+MH/9+HVetlnL10psMWFAo4DVY2IfexbChoBn0C3fwQpwuLfnEZrQkkw5jQ/SwYSLIjhLgLO89ckk/jwICwy3Opa33IUkDVAt8FS95QycGCeThAMgkI9QAzUwGFeH8AaoaQsGTCVQw2fBnToMFVLAsZLSyS7SwrlGt6fUE+Qhw+Xm04ELuweQYzf+ELdioD/uAU9HLPXFIuer6BR9Xob7AZlMYdbSIKNcxi1jzUNBnet2CGdGOhVDJB/QpPOuAA6IseuNqdBJAfhn7fYaM+sWB7YSv6VCaphxAI2KszhNUeFfQBBdHjHtpUxvnsIhC/ONNXT1nlLACfEx67+lrdPhw8CXwerticoynMBDTrJb+DsTgHAiJKiZCuHTRK3XClib7P3LCQzViGI3QyU/7mpzC1PgPNmXWM2KAELpf1gSgpDptxzE9ylddAZnYNraSBMQfTb5TJrt3+amnArY8nMtFFLweIA7pyZm17Di7mIxQ+QC+RS0YZzbW6IRhsbgYOgxv5RoKK76Y8sryLePEx7TJ+G2czgvv+z1YcHiDzGzsZg6tg542IGaicNHA6LtCRksowUqTEZS63FSodzqTJpnQC7wWNMO4mEVJZ7Vje9Lst3XLZ/BNKjHUJHx04zAwCfwao2051gp8V+ccc9oPifw2saeoFHt+jf3h1IYZWAK4f3UHUwqivIQsWtnQtIXaOXMXTaZdRssm85Oslq37CwKHnQD3nFJTuRNW97YbmTnP8VZeO9pt1K0ivNu7s32tLDLVrtGPM4yhnkh6Tpm4dQG9WaMUJHhXLqTYQXPXiIkIIB6wFJjkvE+QqYt9g/3FM60zxRaBbzIEEZA+5ZqW5SLbR3qGvU8UB46MpblpzFG17P2J68nb9peN9WPNWGMzCdN0n/s3LDZxYEPk4CDBQ2ckKH5GJWvtAIsc8es9plceRoJm8eL/gaIGZT9WhAWOYMGV43NTIbD2HCGNRtHPcETxjKjU1ZWHazJw0T2wN6GIWacWF2L29MAGHBJlPdDMqrpfcx7WpqR4K1KJuigKhxhMAbIWj4b3REe3S7sR7umt29BRudNhFurmY+OMrsA8srl43FTFY5Uoeolb305vHNr/3Bt/6z//3vvvy1/sGPvjh/WvGYDw9vrtelxTrXKj1f9fhe12utxy5FNKrJ7rLmuPw1XH9rvh4pS3rsgLS6rolQBw6hRywqVUeGrOAHIgsKpZLeaWrhyoo81LFYbogivPmJ28bdjWOiEMDuJUUsTIiILxrnMnhyuDFIA5NFYjVyhMalKhQldjbljw4H/EpLxAqxnmuFVOolNJs6Wk1EaXmY2/iaAE1+2kh1lTgg+eSdwLPxNA+749k2AoKM2eRAu8kYXJPWtHZ7UmZ7AYDmgQIzsls8Bi0EobFMpMoMeDOii4caYnrdCJPb5JQGiLsPL1iKIPtyHNTRLeZxdkdGLSY6ddXz8SLie69e/Pr3vvdr797/y+//8F/95CdfPi4F7d0C2dXk5cBqcYGjWkeuKBQPViVM1URepM5eiHCKEpjclidUKG9y24PsUARDdQb7StSAoa2ORa3o0MHpdMWRo7nnAqHkAPTRXip5SHVWY3U86vJ2JY+1zhevLl/XG/4c/q2/+Y13X10fK/v68df1FZ7RNeV06y56mMmpAj0wgtvCGfwTdiq7F6X/j3daSUJ6sB9Q/IZF7YnSReED+t8jLPBJgt3OJaCGI2CByVx2WoAxHaqFHLW1DwZCmkAcoEve5mXlY3fkXnowsAi6LDQdvGKwODeDzrhoLbc8tuF0Tl9nxsqmF6mEy4Euz8PhiFD4aAmqNKM+xZJXIUiUSDqSn7d5oR1Z+gHMMbHiyt8dkT5y3EvSw0W4/wwGo9XloYsIxe7ZOqSC73XbqrFXOYBgC1bV7Xo9Ov8BkZoM53wKncZ5vPJVGrSRGB9XWxQqFzCL22eeMVzn4jGtsClgScwMbbxu4i+0AUEZLBgTLGjBlNTh+2EHT3ISiNvv2MAN06p6hJzhbT4PZnTwWbm/EPaV5xjHR1fbFrfLTQX8rTbM5lrtt0fy+GyeJJBQA+ltgRKBWX0xrX0Hq7cMepLXxiokCG39sLZec+gqC1D29XEIjZncUe1qc3Mxn9AoUlNQAU2qUTZ6OjTGb5lPwibQQcC2ed9qyOOIbSqjuetOJKhjBjsGNPYEhAOfMMBnbPZmg7dExcSNIfzJrT7CBe2gTgL+HVQ4T4KYqBTiEEKtwKGBxxxDtbeRQgiKEa1CIGxZCqXfAQUnZzoihGB5R6XlI2YWjxH2KQmkoC7nGERRiji772wpn8NZkVFAFJlu/op0sPaGZhvwhhq4ioNgz6oIeJGZK3CBRKexjjRiihajVBFU2piisuWggAPq0buMNcLod6wxUfV2x/up71kUsIVS6ZQruHSBVO38WjqCILml83OZKQRjqXIyggVlQxF29ZH6oJmC4fNDlNlESAg7U/3eYzx/QDu/yAtYKIDh34zbeTj5lNa6iFByhv6e+d2/mBYIhtL3aCYxFy0HYWAw/A84DgbuIVE9TvmWEAkjmuhAFDgzLN3LFBAoTzCznFrHOJh8JPTOLNuzxu2EtC+4pxtvWEG584rhFY5eaTcaPNwcUFN3qVFykFPvfE5wexsgCE2mr/4YcwH2ZHIBjjfQDBlGLzCvf+9TA15irPFZ3KaW9DIODM0NgmGZnWEbYIRwtiyRzMkWSWfYpU9ionG06bWL7r9+8/Wnv/DyD/+X/+HP//71f/jJv7i+eZmPd4/Xp0e+f5Z0ffX8/MXjcz09oh66V/fZQKLkHR+cQAP3UzNPsrFTOQ2+MZxUxsHvCBQqmNF0AAVBW/Zs7MygELgEl23CBYS6KU0urOlZH31w4IdBbTMp02A1fFO4yDuhqyMDM0RJXhRldQGkdtZZlwPA7REkYmrzQaG8Ml2E+jm6CuTJztVI+ogymd+evMygYgzy5LiXJXiP8XAl3Edi7EfD9deCMYH+Me4S4MZ/nGLy1tKNCoW0GGwemP2xKAtNO8Wi960AlHfaW7cdDSZU4SAOMZjsVC1GqBOXc9VxJJDXXME+iOfzPGvdI6NP5rF66bizfwZrXUJ4rheB33p1/62/8r3X3/zmf/fDzz7/6uvuS5/IWMq49pOTI6KjBCAz17kiMmxqGtQPDXYeQUahm5LHhwDIQlEsosVLNBnRuhy8u+R1FWEDWVNANzMDYmnEwmFHiXUPcaqI6KFhpxaxS0SdK8Cn7Ldfv71UvUKurLuX6/M3f/lzH/36r//VX/03n3/26jH77SePz294cUQl+moDNQSbehpwMrS7IBOJ7t0bXrs5flNr6JzmbptVEITzEWX0ay8FiUavUay4dI1YotV0DKVhK9dkM4+DZrslNtkoyAkymhOV2DzRgOw6pmXxGzbN8u6nZerEi4jkguZcS7dx8I5rA/PdfgAHbNI4U30ppgzL8tv5FMHJLvGDHiFNuNhgWUivxmNg8t9kRmxnQ6u4I2pcstVgZNtXqJ4kzeE8pvXsORKm9XSXO8MMRmVtWM8sm5tE3wAZAgN27O78r4ll1LC43PlHnP4IQ/DDn4VCpRLMWx6moekt0cGwH6PE3UnUR8w77hrsCj0ZIHur1IyI3ppjZs6YCBxXKUZE+fo7RsFfYydu+Pda0skPp5r7AIJJOtqD7U3HLZ/YPqe30Iv7waeltWregiyxBzOPAxwfqORQpBWIPZFiDgE4Uz5sIWGRh98ZcsBstzPksWmdPfj5USHSJs6ZS5pj3nQ74csYoGPsgwOEdhdLzsKCUSl3m4M5cugaTLvK5lZNNbaObH6d36wDxRhQSH7mbrQvHQavGyQgGjoSb+P3EOASZf0929uM1YxoBGLBKjkHlnNrPGAiw//GD1Z6C4hlVB4+lEShjJdbVTg4sYSCrQhAAiPdHijYQ/1c8IYjjFFLkYDE4GKkutAQdg66O7GOHYvHRoVFnDysyJHRAly2Gd1UDWZOA7wUyknLbCdNNDoCCybreghlzqi4l0a4cI6gqHEIItoGprBtwKHnliaaOHFpDMw66b69fEM7CjTIbMcEYM7GlmiPbh4aZR+AEd8h9moZlUCH90RD3v09RpVBdfz28UOn3D5atJUzKj/NHTwcrea3xfFT3j/gJ280hD62Buadd+Sm/hIWh+CaTIMY4sFhqMN7gAsEs6WGsrvKMcyTl0zTss544M6RAxJe6jTThxfcelQUN5gVhGMdAkdjaYsYDZNoq+bH+uOtKZhqFkR5647r/s4Ew61MRWwv2v5VHgjSn8KRBVPsjRQ0wku27S8wqTpaA6K0J4MZVm6T9mYFN01Dco90Eyuz/51m/mwqOZAJg3bBkkes1cGOp/vz5dvj0Ovrd9+9qfj04W//H375l//Jww9/+OX1s5eP5xXRZ13r+R7XXvXlwwOvV663eK6OQiGxehEdad3G1K8an/dOFHc7O4/PHGftC+hlxFuzkiYMBK+oFpkWXDbVk8XKgK0eLkroAB0F4CXvVEKLNaC+YKlII1K6hDcahrEXU6YBqikpCULFhPFENNk4ieSRVOssX9ClJKhchchYahaqQzjcxJ9uAvpWHcMwxLwbrJwUZqQ9uZpNVX7/cPE2zZ6jLVTdRxzdKy7pN0xUhI46XLZkICxntUyUwRhKChZNd3OiDL1u25SMAmKk+fs+vC0PaKSH3aiWAhVHSHnVqeuR6BNn1Is8DjGT5PmAysb9cTmCFx3CcaqSiKNWSzyfobvO17z87e9869v38S9/wh89XL9+uK73l1UiKoLqECNR11gE75GVCuhsHdKZF0Ce8FYD0gVp/KoQUF0kVh6UtfWIUkQXLgcuByVW3HhB1ILSNayCZLN4sTBDCyEhlKKO7iZx2Ua2CHBV88rHC376dP343ctvRN3VCz6+fNcPr3+rP3nz9IP/y3l88p0X7/D4/MhL1/PiBaM9WRihjAENQNFYLTNhguwdcuM4YqzRidGBZAFKDLRnCZTBC7tSYOVfDAk4vdM4kzT9DbHVoLDJV7K02fJoEnRAg4srNQ3spiA8b7eIPKKJdJiJYthZ7Fg93nrnXT8tWQsfoGagzBcOdbHLt+EQbiUJ5JmP8+ON6qiNewAj3BhVnx1tiZZyr+TJgdT61nrPxhc47XLGax8OdmkZDYLzqeyXhMbrOjXZHLCl0qb2ZMvKhkfh1xM+vjYBAFoNc/N2mO9AGAMkbpEgGKW7EUtK5qRHwOcWrwE2rCYdY9MMHT7bQPZ2BCgwXPZQEfLxWqOUKtD2Im9Odz1e/hhdkyfN6b7mo5MmazCbqE3ijy/dMDvdE7uzNfQRs2F3XkgHqnI8E0N9u9Q5nGi+r273xXcs7R82P74KMTTLcLqUuMiwTICm5m8Av6PJ/eW6EXH4eSR9y6tBac3xPv+ZnQOzDm2Eet1uVKIap1rmilVFT/IH/WJbsYVIeIAa6t+zwKQCzZ03PRJDm4QO7sdlhISehy199l3oBmyin5jDGEZNe3kzwfRJvcf3piGgD1OVCwwEA7aMvePKAdIhioXkpFn0pnPmy5lwji3E8m+QwrvZLVkJCL4nrWH0AEZwMhDQR6YwVoMjzaSEddldeQC4iJXitmyQGYeHaTNGE+tPRmS3joDDmvxwUagP77QTkR32iG7mdl7Ie2hblGEWf0N353YIRWshwqo8LVZ07ssVTU0yrmDgruenTAB7GF7yGHy7q2bdGbRx0LTivi1Bz5Jm5CR1F8OCet/UdO2hOhjWYxO9mZpmx0Q0qgMJ52h5TJzlUmSzog/dpOX2jnFUmjSL5pdcJqnb6iuaynR1nL0HhlrGihpRoDQLNJJZY5Ysy6WKUATNUNUQ5RSb4bd2mAc/9L0V1Q6CHkpkz1sDOLl/H3cMOUfA/GPNczmnjr2RskECszZpWmwxUKZfkRxniH8Ox4xi8ZKBog/XbegCex2224lE2Ns0URzzHMxZ5Pl5BEr757iy7xlH07K4mI8R1OOqZBeINtRhqVtQOnmJxBGvnuL4JPt4fz4/vfry7/9Xf/3v/eHv/vCLP/rqp+97HShez/PhuXnNetbz+76euj6e3UBzlWrGUm/BkUCU1shyyWaHEmnoCyyNM7U3dB5hwRMGwAe7eXgnCgM40vHkcdg10a7uGtqlIR6RTUXLMw7K1DWc20UnvQbDVn+K5DbEQnu3AsZta8g9VdW7aUlzn+pVijiGYR3vDya4lLLhtlWGYdN0d8rUxIJCMwaPM9t4AQeDztS1+kifWqGupBT+E0vKFIhCoCy5biZhyQTBSItnpSLcsh3MMtoRhpgmbwBbBSK/9Fv+F4pZshkiPK9IApR5tJbfomacrW7kXUXzer0eYuO4nvHV+/d4+bKFV3FcxMb1hZxurTsrXQNPcV5OXPL49U+/ERH3X3z5g/X+8/W4roWVKyPTjQgvClbVhGYyMxw1A/Oe1UdKxdGMGHeF8b+CQoHCumc63fRIXo4s4L7rFKtNvEoRI6QLtj9sKZRFOcQO4czVxshLQUSx2OjWKvKpHvnIPKLz1T2e3jwf9/Xrv/FL/cWXP1zvXr27e/76AY+mNC3OUAFeQ5Fqr/0WgMijY2HJ5Doh5/n4pB420yj1nPd+CbaFjSNOxIZsfLC1YTzdkkM1bZAhAp/xW3YwYPPILYDdhs0nMZY36AJGq0NP12JsuJ0C954lhx12xKX3BMAmA60OkF0jb2yNDmZT1pjzYhwifuea5J5kcs4T4zimz4SEOZI2jaUAbKccwRC2p98fYvsEwdBO7Qiim+iuQGawBsru+ajg/Md3xURAz7lsmrsYR/eyELtEH7bTfwW60aEMAdlqE5eAtXiGcbYlqkf9KZAlcpr+4VBm6pNuHgW6lpHZXRN5gTAO1FiJsJGGPZZaME2XW1u4TWVszBJAMxNznGOeSMthRMaYMcqWWgP+VlhGu8GdL6VAyTzlgHGoUaBJ2NreOTrnNzllZFPiIxXABO+REK2N8akuT36GEWYOhchJhfJGOtogGTSbRyfmM5zGNvnTdixKFYRVY7ZZ+zM0A46FQg+rM49U9byjlmmp4Mi/3qyOCQBNw0xjoB5hrV4YlJejAvZL2Byu77jpDbbYYewqJnAg+K2jHIY33Y3/lZ1CbnXcTHgwKMHvREJjn/FgPpCuD3DjpRYeTO/U6EPskWDY56uNagz8KE3CK+d+gFsQ+WFEBLefXioFY2L3sAEBJxa6UAdLxUtILTHTx9KMGTbNRgZR07+7V4xAOD8B5vjSOBnGq9OmyWSrARwP405zOufdnhsgaCnGiUxvRvPjJKHRByYfGGG9QoCTJ3Kzd6rd4RuyMP3QHGAd8LC9GbRdFW5sqMbjUuxmXNBoMsNvQHWxaQPiftcQdne5J02L2qAPzETv8FGA4dxIHgCsxpnL6K5FnPXq1gIOqAkAVjRP8d6vhc9no04mvkbyRKJKM4KhHfRGyYtc/ODW+B88Sw4ugo12Y6bV3mCMCZk51mARBwZz+RC0sZ/FmbscjZM/YyCDJ4CdScbtJIA+HAQEJkJh5mynaYffNQ8oLptjTQMcd2AOAaOdwhQ5bfHm5DeYluSOIN2Sqb2AoPWBQuU+kYbXGDbHQs8IFzQilMO/k5ErKnXNfvF8wfPL9+tP/53/2Tf+43/2G+/Oz9785UNV4yw+qb+Wrqqn9fR4vnm41nutgq4odc03UEneyeMXB0p/M5q0pshQDImGcTo2mQUHaAAw1xfFPuY4BxKHt4KGqisARURrghSZoS53NulkhPYCYXWPRsYrkeThQxSU8qnU/p9xg5Z27hrdYo4Ve8gd1ggs/JonkO7mIzqL53EcOOFw0hYuTBGJlhG7FpOtOpyH69akkTSbDsphESqwVVuGG1bcWQWgqbHLfRGIk323rRYh5cEudmGswd5AZzcV/Tzz2IqixCT2brJX2Y6lMktfkj2CAKNd2hbACZsVsJYuwYIKXSx9/XgFHpuf3tU3M8m7ZAeiiwwcEdnEyarUcVDnqzh+4/Unr8XXPL7/5vLT9++fHtZz8VpYdQaSXYHxRJNNHMSRWJRaWsdR5QJQDaUiSRaE9sIH9xJl7WBkXuqyKDBLAT094yxJWUC0ItVrsACAQoW4qLD5hqD99dXeZQWv5z6Fjrzg+bGKys6jX2TXwxfvP/nW61/669/8uv5N1bcP9PNzZx8QCiVWRkqIYgUDDLGrQTaXdwOPEMaqRSOumllRXn5A0NiLZ4dmzfhvcWQDoYY075oHgt3J+S017j3QrQEmq0nDXLklUbuu49b+jRpStZRHNDsZRCgjisiRVsraX/OXOLwnx/rioSrFaYQaQhHhdG5Q6o5R3kxV25XNk5gTejy0zJnc8ls2CI47I4zcJwboaSYFlkDspH85TEQAmOQG65g/I/cmjCP4Gpjp3zyK+2SoI0JRpTmjCTF4AM6VGjsoIY2BM83/cgjqsmmdU7bRBs24TxDO/dXgspiDqsEozjWPm/Co3TRY4BXY8ZKutZjjsG9WLbf3W8YDC00FbkTMuCSh7fvGCKkt8JVFCRt2xeDKPzMvuVPd2I07Kzf6DcX23A+IDmvxh5zw8zdNxn7gt66kt4TdqHQfaNEwbVFOAsVwHADj8DQXt04O6AqXOMQkvszxbp0OeDsz94OIFnLkNCjNggVhRCWtFhqsKkSqi0z1Fn3ONLtadlNYALCdkX66wlPCwP6OcfCW+AMzevcQY3NfhmIhrOHcO7wYraL1glBL8sYgyjKgRoRDa2f690yXVgwYcUgXfd99mdB3KDmnYx0CwmXFr9+8fejRmjQ0m8mQwLhIJ+p/yDqO3xx0Uxokq+fKkNQsbQY7+EERscfgCe9J2nTTIVYEh8sYqaFZ3W5K0AVnp6BYVY1QrihJMg+k3dNy7HcSUIGQA27TwEcOTQha4xB7wa0ITtb76ByiaWUEwOjqXSRJyVm382E93I/l17yUc/mM3LllsP4+OkqcozsnaUpI92Ii0rMTfNQDwLJeh46322w/b5n4GMJOIrByaL7dKvVAANMlt/0AFGwxY2nXTnNZk/8CqemFojPZb71tBjuhLglBFbubDq13qqWsWR/ttKb9hmqabGLvbbN10vl0BWGrdUIbI5sXelLTNIg6IHn/dm2zGt2lz6UeF6vxDU1kiV8XGyki9rGG4i56Fg3F7AAmQr0C6SOJe3ghcPuB7tM1T8ygABzUkTAL4bNo+nruQcbRkJNLrOELEJa0EOzorG7vC2QG0AGmkhHk+/ef/fp/8I0//Gd/6+GjN9//4x/Gu2T187muT32eC2c+vn36+ss318deoha11J0O06OAPprLORq1szw9KQ6sNWveSXTikF3f6CMiptEJ5sA7ipDqiLCGNeb+ufgrgFIZW/Rz5BU2hpi2TMG85SJyc1VlMCUGxi5nhYdrV0aJ0W3FBwnSWmO22rmzMC7fCzkmGRfd4jqYRBmuQPLOUlJ2K7osYV6HVRDh1I0xnQNwsleFDgJIv1+McXvIE17CNL7NBIdZ1M5U9GFvfQCGGPfKwaahIS9F7VZyfPECgqmu2ayAcUUiKpALJgCmRkiAgYrlIL22nSYYWipIiah6L53X8/F6ffPw/tMX9995+erbH3386avLq7u7S2bX2ZDjTAOhuiKPVdc4Lj/36ad1HC/uL9/6+KN3j49fvn96++7xzbUfrlcgD6W1AWprA5oRzZBOI7fVfYA3tHinwg0OJqGo0OQg3R1R1XE5fNTVs7qUrRbUtDRjAJIJi1WCDV5msFXROhxZFAoKXdeCeKx3610/r65PdLfU0JevPvnkl/7dF1++vzvr0g/dX7Ng4CVs7uShXJJSUGRY9Gb+sLunfoy8goU59QNRh22iVYKAI8NkJaGFSAjePutOafZJGdsGb3FqxpQHOGvGRrKLcpJb7P7GcpFxcg1aaBdMExeDu65mF6O9ERPuNo40k+3O/9M4eOG6ZLFIdC7jgobActx6jKBhvZ3hExP3ZndxbPmE2QrWLjOEtiqDI7KIsXXNxk2XWSIU3kzqP8++USvcII75eY0yA8045r9oYpyboNoyPgy7VlC6Wyt39yDbWRCBW/ei295ZJKLQsREz7NvkzUM+gcL/WdYRhDDsqvt/f45QDKAfG8OdTsnXvMeuGxE2TlrMLO/3hk13NBpoy1XsFJAxN8conGI3LGBgVvbOHLERMJ/XNGo5BHpvcrwH88I+i/fz6GPQiJdtELeEFQpeeWOe23oyt9YKoRgRjLVxNoOmldxqf+yRyi+DMOBKjIugpq9i5PD85hzipv/XaFPDS98SwW6b+lsSStHW5EWuaUnELRmYtqnj4Dw2AHcIiUauJw9Ybm33R0xSPHZONVBSjgjDwVw2Hc6TGWNv4RZRWUaYCg2/J4IucB86HYbQUSMF2n5StsQaRTkM3JoEVE86tMv0xL5gq317T96WXuwMAb+dctsrdHuhmD1v6lAq3UB5lhPkQ98u3w4SCSnDhs24xTr6nL4AFaU+YmR6sXuizaiyJRGHgEAljUaESy4G9OsWGR7GzHU197yFgVtgaVWkytGbFZjgS7Togj4zgD2FO1oybjGIhCin27B5GwPm4wqgG3ptPuTGRga1wJRWM8nZQNIdGRsg37zKTGRUx3wgt+1yzQuyl5jDN8sFoEa4mCDQnaATroZ2kjw3mMPgDYZvAHNS+Bwqkrz0EI84jHDwoNRdw2WQXeqGZFUIhmLgrLLZCpFRRSKFio7h/lKomV82QqXZU+iskwa6R3I1nxNbKENGzRO8URoa7XOZEOHv6Yu5cwkj5qSA9hSq6ZwC3UA229uSPT+m16bPV9Ju7Pf54oF7H9QAiWjYz0dp5vOBgzSA3IhXrOvZD6qADnu3x/V5dK7AMUgq1ESepPL8zuObL+++9/yf/q//1s//1ut/9RffXw996bw+8yyd57WveHjz+OUXb67P6KXovJZ2FKAongtgnaWQGAbhxQUdZks6J0qhIw+EELNvO4Nh8VmGogAE6rnzAtQE5COsL+wEFyoJNBrqCajUAVi5t4M9ZkhjsVPpi2qbxQbWEAwUAC/ZQwjsjohAMP30tsEOEJHeIEADC8NtGVK4GFu3GuM4rDTOsJPYktJnMVonhzJlB7SCWePpgrAkh5W6I2FY5oIYvzS5JR2OWM3FzqACYHZ3JiB7zmICZqqVAUSGBsRxlJjYYqRayhtwg3aVaevS7F5yqR6RkhfLQIBLIoVlnQbE0rWDcarzXE8P17vP++HH9+9f3H/57Y8++ubrj7/zyUef3N29PnAXvONx38+tXCuq1yXOC/idF5eXxyffPuthffyuHt++e/7i7dNfvn368v37p+deHYcPsDAsGXk0igLP6JALu1qil6ul778aYeegsa2WIhyzhjwiKo4ESqvPwBHtZSUYwaXEGdJJtTzm2C1VO6Ks3ZkBjCVF4v1jFypZ4OU8n89+8/KTF/jNzP6Ij/WTh3d8RiZ1uscFllFcbdTTeBnolQQKJquWn43NqHlxw0CTdq+YBAOwrKtV7OwIQ7sCE1EDSmHAwMEzNzREw3Sgd93PEdHwrl/VzH5g2H+Vs1cGnWz2hVZuVYfzicyaOAHCw6Ml/xI7Ol39rPwno0PhBOEpgu432UZEZxbeO2EArkZMuuXe0G7l5VCoojJDlrhqajG5AZ8R4cJixEkmSKhckuE30cOFE9xHThXuJWpfST9rky/hvmGfBZPgMuGJXgE8A4+7JsLWPD9jZI3Z2IIt3NZVhVnVsCZtGpouO5j8CLaQJBPGt827VmwiBMCobuTGWQAnKqHm/JJt2gnWqIh3v7s5SGwhs0+u7YCeuaR3cJkrLhtUMCdaRBbYOr/Pr6tG7DODCXaioUbNG1OujaHmPgEz6Eh/t+/oNXfB3w7yEvWItp2aQOY+nL019KaWkdMBCUit2X2IoLpvd2IKvJMRhjwwjLih92kaW+juAjvYjWEETKG62xrZMaXwwqtb7ojmX9AVeoTNWye8JzeKOMBGgbaBbV+LAJCB9JeCyl3/PO0goBHQjBxGTkByudfu6IOcbhAQZ5fnTCCm0jyWoQ2aefr1zhlTR3vFUlDo6HSeYbihMadE9Qf4a/5FlMuctvDBAzAHw51HqjoiSoMHGNGbCJ6cD94+JcA+gnurihT7iHW3FZUWRyQ6mB1njExOtUSEDi+nMxnebtcFy8Z2uEIwhC3cCU/+SVVfgjO+GeYHR1rb+/Ow93aKEBAelYNABG5AQm9weLxZQEDDKZCQVuMyT0epA8vjUYwPiqNo4fBDQcziQshGG1cCF7y+yax60Mtgzsx9K7Nw4zGFYfZLzNi/zT0urs5rNPHljUJ9mzK1ZTOkwJzFdT0OyN4U4s1jETHQjm7xnaYPh/3brIh2iPq8EJg9uRhjnf/h2I/mv7SH0ja8v51dvl6b/cTYagazCvXgUSPPwgZoTP/4ZCEApTAy2xko3ZD4hvjdG/2cL2LadGpEAn27O3Mi+b+MhgX7yUmoHTsdOQdoIFzTPcIq0FyBpFJ+/C4IZaxcb++uH7/5+/+r733vP/zOD/7yh8+fVejjp3p84nU9d5/57t3jF5+9vz6oFdfT6Kq6KjIaiNUenqkU0XUyA22eT9GO7AR0cAYSureCdHckIzIENiJaQNu77l0Fu0s1ctehrszYHHccNhjaCGaj3UBnHgfYrPCKFp8dSK9IAhDBEiUcmJg7f64pwpoAFVBwNIngPDxYhyv77wbrI8HoIzMIy4UtMXJGdgcTB7AmO0CHP4rY1UsgbuI2kKA3DWgTcbE7je6oALSEUEcHSn0cFCwyphFhIjC6mcrI7rqFvk5cRotMYRFQlCu3jKeOBSIYbBZaOT5gNJbXU0ZjwoycWMHWUccz+oKqyyGBd188rOe37//8i7cv4ief3F0++ej+W5989HOffPKd+7sOvrx/cU8o8rLqEuui+oS4u78839V349P1UT18C18/n3/x9cNf/OSzz75+eP+0KoO4RDSrS8iILl1kAVVt/IHqXohE5xGwZmPYZZervBxN6jz7SMQBLOvt+loIDTEwEccNzT5Pp2WsI4jUMqohubUVHOsdDaTiCrzNhe5X9/n07imO+7tfePr28en57uH9T98//ER0TjATVwNOGVEWPlomuPl8sXsB4Vxc7ZqITdOCkzswpYEAc7zCA/H6sZ3F6+R+PYodG3ruD/yPZmi9aQpEq31J66W5AQd3a1pOe4OAYh914a51EG4sp1UhcDJDByLAFUZpDGcscJyN0N735DCGwQljkPehcSc7ZGA8CxMGLPUZHZ1ih6YrBK2JmhbW0Us7JWFTPoNH+0JirBdWBN8Wo8FScm09rj0L0365FQp7642ZlYx8BkuWzM8Z72NQ3tdAxWg2/MqP2mS3xuog7ZWaxbmC1QECgnEziAN2Me6DIeZBard1BqcG8xredJgAN1pu3Wf3TjhRy75oy51+ptefY5Gajo8jlNXeKWpZJW/WuyDKJOy2nFCcXXc/44bDDZj35fRs5LF1TM8cOl1DVojU8eFPzTuSksjDfHlqwFRO1Lw0Xws4Zg0v5LWJmVyaeUTyxoRiQEi1dw9KuR+2+dQhL31liqxWqdGBFmYb2S4tkhgJ9djfA2gwvMadpid69oCBjpePac48izQOydIQt84xZuY9TE/UL+cE8DgcajLFyfwVepotezNzxgSO+EQfQGhnHY1NbpvfjF+r7V/2t9ypWTv53dtFZoS8YVszQtIRM7cwxrCscZEHh2lkhLw8ld2m/gkmxU55hx2tEJnLK3PcUgVZszUlxrscLTVX7Fc4IiYMr0VKR2arF5xN7stQbhe7ia16cnCRXdAJ5qwlxph6MHKpnByZ8lth+Mb7oGYkYzsGyIbAapiuvmGZpkhpDafJDevRLA7eGDFNIpki7RRLQ75FYUFOOPQAar/PVDkDsPjw3/y3KNHp1ATCYhr/zaJH6TEeixNsYwGjQOBnihN4qNv+VV9NiMwdWinbPyDL1dIrMdje0eF8hvHjKqIcwJnDu9+K1mRgkYNdlVu4mJinOcDGXoEBMMCfwTCGDwJ2STJHvX/DxjwwBLglerzFSu6pds5j7DcYbh5GsjtTrkedwC07GLOfadIrrLyzW0Hl51nDAxs8CI9gGC/BNDXmYDQEqTXrnKF4s1b21XccO3wXiuoz7o67y9P5Ff7iD/6T7/6d//x3v37+4sufvOvHS3etfojnk+vy8NX7L3/87vFNi6rVAT6tNilcBQlL+z4app7WwdS1JoSXYMoiqLAQJkhm3PFIBScJoRpYoSOcSNulCK1iMlz/MkxQk5FR3RS7mYDTc+BDQGzZ+DYApCvWAg9DAzekKkyG3eIOGNG38aDtDnXQobeZyPx8JA24hZhmN6KhbK0gibDOj4pIsItAlFcwep71e77IQlClIwBxBj5VCkdwoakJghwdIQIVnc0F3SNW9EUaAVBWLTDSZxeHQLIlvj+8pfQ6x+ozD4qdHWALh5l4DZaqJV0Ciqh2dKssMusP+nShmRENoFSCl2kt6LgzvHpZdb57rjePT/H2bXz2xQvgmy9fvHp9/83Xrz99+eKT+7tXL49vvXzxKu6PWK8QFyBwx6M/PvRzLy+//PrVb31y/6+++PL7P/rix++e3696kXeXJC3YDUYBqbPQmigciGIJxxIoHtndVIK+vOhLJlrFlcGDqxjt1Z45/s9e0A4wjPHdFS13TdFLwqzzhoCRDkuK5mM+H7zXQ8cCyKMFnJdvPn/6c5df+Osvn794eX33pt++uFywdDWc7aAIXqILK5Rl8h5uXl0//G4pNnrSU0atU3XERMPqVkLbUuw/7TNoJlX/YObcQE37z9gzBK0gI9XdzITmrTIrxr2SloGb2oWcZn2JASYWdJA50tItbpTCsqo2MYzRZyxONhbp0zq2PQcTk0fjK9SknnuF1pDQ7NY0GhuFN6ZjvsgjVSTa3q/BwGaeH8K2b4hSCNeuw0J5C1gxvf7I72zL6NF8crpbuGtXNguJKPXJBhEdEIpUN5nhvMhGo5OJ9E4oG0oNWjuosOfKWXxEUiPFwmz1s/R0+imMHCZvmTzSh04NhqKTk5Gg2Q/CybadKKixqRmh8fPmBU1j4CUsQ79Byn4y3IxDRaX1zPAvmn8Li4AwAsS+Ybx09hgnkK8BbqFZSZDCESVbxwTrW4VpckRMiE8LmTkeUigSnqlbcXhbxhiCAyxfzL08aaURABLdEVk+3ThUL2b5xhzCewKeiCAPepqtT4EZ1J3SVUa6acAe9LeLwfAQMI7M2WHmBoIzZm0cJt1YOqzX5flwShTm0LXOhGVc3m8pQxYWeTAdMzTRnX52/bSm//pNX+eOCZaKiIWWNQyY2ZnjSzD8DFh0MdNSQ2hUT25wlFNoRp1q4m3PeBGpGRTtQ/PYEq0OhxRheBp1u7IviTMFVHcGa1ali3SJn5hD80ImkkBZzATHCQ6A4ArJdJdNeqUdawgUrHmjNAwEBaC1bM0AvPkcfnqBAQ3zQABcJmFNq6hndfhGNQgNZ+2cL+W+mjv2gTOoG4rRGHdjEBWbpuZ93IkB7q9pALXh4i2RvRSJQJzdaEWmseUaM8CQFlIjqWVkZWJtSIacagykmVpIe6vAzC4zNZoqYaD8gPQigrd19gYnrA+cMygQirJZXXaQdrVQNpxDiYkpHI2hlZuuK+G8L7j3UAbUW3G4XbOe8ucY1A30aZB7E5nJK2zMhDHNvXRbx9kehBygNuD3oE2eakf/aNpuD3h+n8Pf2Xv5nFsBqLgDJpP7Bd0ngLt/zyQxQIh7agPhhloCHs0wWW3EppsnaNWzj33zgFx41RIyyHWARDICuL6v+vT3Hv7O//w/efHNV//y3/zJ+fa89N2T6omK6+X9V9fP//ztu3c9iZ6Fs4u6WKLYTXWXVXwyxMXND6kCgcyO4pmZk/ubITIyqU4qiQhkeJwUGIoKVnae1ZkUeFzUS0Rm1BJ2mo89bh3B1Xa+tyFpTrPM7gY7lI0FBhicYAEvyqZXRI2hw8e62iotRUeHTThtbWwjXfK0hcHJmT7bZ6uNBcSh2LN7jEaYYCZqsVCEEM0CREang6MtZG0CxOFltErfOMOPKk8y9k4TSzxMFgS2y5P7UUGMd8RhNfuaaI4wOByJikOQhHR6OiSyu4/Iksrb6qsr4fMwba9uMaIahwOfPfd39AF1V0BXASUWMnGAeKHQ6n44eJ7Uu3c/eXj6iMfHr+++8frFL73+9Bc+xjdeHrncgHUU7rLZ/eI+Pj0+/oXvfPyTn//5P/7s6z/6i8/+8s1TZ9wfcUKXZkWjEMjGcg/reliAMe9zk/jBEpg8jvQbevekOhh9dNXRa8HB5UMYhL+XAFVxey1dlHqJBKqbWE3ysE+pVcmoVddChvLp/v6e16fgw/Hu8tXH3/vmrzx++u7z69d/VLEueXRnRSKrUXJaFAcTGbl5GID90MW5nR+PikhU9UDFXqyTMPnqgsZtVrKNeO59ARMeLwwdP5L3KVk0zBLhdfJjgwA8Qcn7kwa7V0eGyqujioQTlwxvzLoDY2hbIGmdhofKnX0z7CtGH9NDGQA2xroQjjcqDJEYC/NJbl7eWmcv9aRkbbM41HXNFZyJaqadiV/QoDye+gYxjtj1vhM5SSUhden/77JBs/dxEGsh3COnUupl+t7YU3dHTF8sSu295Jt2++C6/HAAuKGWeYQptO5BRiLkeWjQ4I0WyViw+Qm3OGPdkCV8WEOmY3Q0TkYxKEtycQWO4YTmwbTBIIaAx2B/+9/G0ZJFzRiCQB+q8fw53nq7kJ1GavNM1nCjNN1y7CwoYOiNkDeFzqQX46L7wDT4UZpJNr03UlOfN0hHwBOoB6c2tcABVYWG8zwHebNmYo+BPYE9vkSetP5/VP1Zs61bch2GjZE5197n3K6qUFXoQYINQAiESFCUKIVkNYygRFFyhGU9OPwi/yL/Av8ERfjVLw7bCjlshR0OySHaaklAhaZwq+r2p9l7rzUzhx9GznVgBLq695y9VzO/mZmjS8sLRFUDYJdqvqKzjU7HPzu/fb7b0SkYSuZIFPrDF25y7y4fb50dSmv6dFGeMI4KabQYmo0JzvsRQNSA1fPKjw5jfojm9xMADM3C3+xR+YKVSi+scqg3iZIK8KGy2ZFNRDTQEWdnDkfK7sMDE9uaTWaCVQoeMybPy02ceDwvIbWlVKTbECS1PXp609FwSz5BEIehs4LT4McGo5VH4tVq+vFPBDqUfuo3sndR9uKE13T2eFhG7h3jZj6yg6CKCgdsLZ01Ygymt5vDzdjcojN0zFMPwE0tEEMDnKPn6VzhuB3fDxnARMI2vDacHd5b5evRikZAKTUzSojyRenHZOxOfvATfgPwU0AVUVLCM2ku91WTqicCnWmtG3LIvrF0m1yA0mkJHBuFueUmnWuyrD/xtIgIdamnOV6XmA2yHVU1ZsZqIFqjOHSx8RICjWZtzqyOQOb08zqdvnN+gEn7HzXE6FE5O48kdh2wzO9vCobypLWaWMUop5DTjtdsoXEOUIFeKSe33t0cqS77oE/nLmpPiCfDDBPFAfML7KE6dCq6b0ZO2fAt295uGA1GdKhQi1nqaEbSA3hRyczosF08dMP1YV8eb5/9jf84f/1vf+/zn/7J2+/2Vfmoa7/syzW++vrdz3/y7Xff7pA3MyTTKjaKjYIklCKce8aoVlBRQk4Omx06aUs6OpV2U9i3Embu2CC2Db2FZGABWh3dvcy+LFwldiTYaBGVHVIrthUtEuy0QKQDbzEEzwgX2+lBPYanQacWIWTcWc8OEtVBVCoVasQF2pZIZoY4a28WISKTLIJdnaSsv8GtiaTdOjcVaFLRT2Wbqehhl/yC8vBISUdiMzTbWYefbpNTUyWwHN+zGekDVQ5Wti+eAVUGvdK3sUmROeQLJS4KJ9jaU0M79AuhCG4oB36RSFaPMrYcoMVs+TAAaZXWDaZZRVBRIJuZvRCCtrSCyDYLuOpyeU/U2+v759u3X7379kc/+Ju/+is/eMUEpO5FOsawC4WPlX/ze5/+xqff+5u//MP/+s/+7Kdfvntf3HUtrfI6nd28oItAJmtrhRoZ/txy8JSkNHmwiViaSPDABX0jqhiitu6JzcIJfG4h0rkeEBfG5NdCqJTZ5YdsiVjAVc2XBGvF47V1owB89KOnH/3ej3/tz59/8fmfrW8eXsVHT/t2ibplM5aqMVIcTe74Glg1TXrBQGSiQKeeB4ScQA3N3Dr1GOaMikyjT4ihBImluyboqJjH1q2zvupoZYjZLyoEZlULJndI3v8TVmZs1UJg7gD3O63BWtwk3csgmKPtRoBtFVd4dVBLYEy/ZsGMsypLZgn0l6xWXY25FdU0P+6MCgra7v7d4CGFk/FlXnjuCJFhVwFl4Lk5FHANnOzI4MaYBYwmq+XUnw2xWpM6b9jVgOHgXa6KFrWkL0sKSGIDgfC9hLvWY3QvoUnTP0pdt3vytgEKWfeVt7OnHlQ5vvd4LUOo82Vocv2GGFhnIDSC5ZcckaP6DsdbG/gIqaQchsUzBEZeZZBtwhIPDCTr0GDtMTUhVGiKNTZQT7RHTQyxu5x/FcJAh0EsDd2mUlu7NFUjtBCojhzB+UQrDy+1QBCdkNIqlxtEMYkdITJVHWDPHitOvgp0tFdT6o2rTTM27ZehEntiuhleYtfAaM7ZYkqznMADe2jIhIEKQxaLOZPU7RF7ljkOzi5vGQDIcrsurghGHSYj2vAswyJOQhzNC5Jqu0ehXhFYcON8GGLPGhyyaeD0LJy2WqCD4pElhyq0O9czzhydFtIAwJYiwPL3VEd8CZyp40QkjhfBM8ZIETF0h3nMIZpEOMd+Sg+tXUlIjAZWsJqyHcFcYnciDOd6RnW8wdArE/oH2CLfDbLDHV88ujdijd2Py8faXUoY/LsQPfE5o0pM5pFSTS9sUsQoMkVEb01s1CyqgjVOQqSwu51KGvYIGQZwZ8/RzMQatkc+KREsEF77YnrLeK+x7xricrO7e0EKloS6MYLNbiavwyBYKuIUNRAdVAlL5WSCCIVrCQKNiBBLJu9Ge2ckQkFsA5VoEh82T8gup811kCwCUoB7loNzuw0raIOTehGKxnZFAolZrwx0e/tbe1jmB+2cpXUGJssXnAN1BxmTsTTcW/EcUv2kQVpa1sOMu6acE+8Wx3wEqkV6V+hMufLGKuEMJORQuHc5qfVLprldXGcgtPINk2BoZBacIZ0yFaUB1YbGBNu+MI1Tiog0+hPL8/HcSIy2pA56wKWutR7wXl//y//m7//r/2u8efvFN3/xHV8iM3cUN56/ffnqp9+9/a6lbAHoXREIVRUqSlKqNyO6rNSHIiKqiml3S9gAtpgIB/REprGcyPDcM47ke0pZLhpZonv2biVD6gexLmDrclPZaUdEoreGg5JLJvoIp6y9l6urWn1PQ2jS60WKZidHP2mSe4HdqADBBFqNdNZCKAd69SyG8TIlWp3iBkLJ2DYZu1dXi1nNgEJdvjGD6bBpk+8DO4eRl5kzR007WjtPkSTIZCDQHRcLyNi92QnIy4qSo/nCPBaAM228kmyMS93BxanBHAFQB1Btm4XDuxhkHYVpo9CJEXGE6O3x/hTV2mQszMajyOzqFOU9fSmhy5KH677mwuOlpRfo+vWby6uFX/rhZyspZWQCnVjMsiBiX38Q/Oj7r371B7/38zdPf/7NN3/+xdd/+ou3XzzdduRerQ4X+E0KWwzsRtIRd7IWM3NRFAqMYAKXIBkVYmtFt3hd6s2mFrAxrWzmpVSUNcCUaQcDaUxY3t3BELu7ubien3rjFoyXR756qYfvHt/20/q1b//6v/Wjn//0zZ//Z2/WO+Vr7LixF1+CgdLORBc3mCuxnaIxojb3xtPOj5bngB2HRSSSrFHouCXGmW1PiLOG46AdvGMUzLOgb0bNAVjAcbUCAncwuqrDyugioA4lZOc5SjpJezaQmUKlt2EPxzRYVYRi8kWZ0G5mTIayf7HLv04o8yHrjW8O7+5lm60xUc76QHduzt6SC7PY49rFlAIP3DEjh9+mRlFMby7nASSJbng2vi8690A2jchUFEFgAwuweZpmNEY8q7uyu52P78z9rTbJ6FAd0xSc8Yw27cQUodH4NMGoaJ9PAaAUgVaInX0qDIbA95Rf6u0dkKAxuAiDuhAEBLMF3IWKLpIRDaXzKk/Hl/aDWL8/FrvB4gaKlwm1qYUxeQPmAcxZ3en3EBASmnnYjanLhJqWrE4qASZoyLeVn0hqaj1IMLnEYaEcCAbjqnsQYZXF2QYl5UbX3/qB5YZdmeHKZ9FTkzHHgedBoL22r7dYUHd0tpjaTQ304JsUccQ/1BgzRVl0Gps6aewhAJMwG9bpOSwfoEURXGrV6D6QiPmgwGbIGLE7OlYgbOachr/87B93m2BZD3g6dMKSF9OI9pVRzVlNTQRPIENQdUI3YNn15FzCH5cTA2wraKvJDABMe+SGrtvMfCo69jg2zTQ5DszNstmWcyqs26E6ps8drbk1JIkUPb5GxIl5n/l0zmvAK1OaEREjXNpAdE1iDEHU8d5HQ6vaBm2/Pprmdx5xisPuUeRKM3BZLHGZ5cp0PLMEVGp2Z8EolSnGQsQE/899YvqkIUO5/uOGCVICYtSh9NUR6r5LPmPkLNDwf+hydrkkX6NlyqT8vQsMqOqQG9liBNW9IzJCXqSXQPimaX+voZKczEx/7SIYyh755onAynDxpeSQTwHbR62PxXhq1HyjVQrathqEN1fbVK7ZBhZH89O2OIzVW0ciSldnAP7GyWk1p2RisPUPpBhBuH6dbYyGZKZunFtFA34IA8/KhQD3SZo42iUOKePz10T4CR++XYP5t0MfXKL7/4/JsNgJCpfpMxoYkD40rwt1W+eYQoaX6BGtBWpJvDh57aP+6JuXL1//dvzL/8mvfPTJV5//+c9buNQF0Sq9efP2z/7sm2++etnXB4jdN283K6bPpS/YRjgbhJ1NJ+JlpuTVkenNG6KDBS6RQNACKB9ogcTqYLT3T10CPR5bLgOvsFS3oeXVixd4oLl103XT4z1Y3M2HuTZlEWCnlGApkexS5kikaiApxwkfotKDd2tNmngHl7JIZ92G7VsjhmT4y1Yh8vDrKmfCpIdeAFQJgeqG1aIhgFtTkAah82httfqYBIdyQjN4JJEQHkJAc9GEkhN3HWwZViGjzhloG8j9Mv3jJMiwV1Qr4zz7IBQpD7ymJnx7SDDP3BYRDoaRQgne2FK8Iz1bTA+o7G2yj5FJqJNA7phmRQABAABJREFUSci+CXHbL4IusZhP0M+/ffvZw0eXj19fvB45EuLu7lZFX6CnZt7q04f+4Q8+/p0ffPTVL3/vn37+8//nf/tnn7+73uLVymrluFSPdYk3rayNHEC7IHERHHIkuBTdoXUB960ymBzmEltrdXV6+rbnowas9MhHorVVMWrq2OwQM16EUNUt38bt43jNh5f17hHV+ck3P/rN9S/+u7/5/o9/8ua/2fmwIlerI1MTVEXCuzvtdhtp7iDUQWefYhBdnxl54DsawRisP+b6GdqIc7SnDjYcAzKqFasFZW0GuxkmlqdmGl0OttLDfdsfo5jrABnZ/msLoS2uVoVy1m3g/FdbcD9pQy1MKIyF2H3/fEfCIyHPBT6EGBmqgUnRIVITTRJnYUNjAqUdajGa14zxDbriOsiuHWgEjhGzAdqByHP2LWhSciLLff3y7LcV2Xl/wCwvgDoi7QQKxXh7rU4JXA30jnABKY5i1F/cyAyM4pniOOpRMxCz9Dh5Qp08j0+XxBCLs8dTk4ZhQVzOdrlWTRhOx7n0RlozuhT3PaMV8XzZ9yaYpGNZCaA0ga4nnp9D9bCgyaFyB8e80xEYBNAQ26SSWrLpJqQ5b07e76g5wNSWzdsJSQtCLJFEUU6TUKHXJQyuBabXFmdLMzV7h3J4WHeXowTn9OYzCvAO/5k8G8GUBxeq1SoqmtqtQpKQEq0jKANIVNtk63pO4LjSZlJiH9oDluNwCB8cWR4qnNUDhbiMifjHC40oLy4zTNrWmBOMLODSHL/t1JAkalJQ1IqIgLyrduBPP5KDnRoNPeot+tAloC4qpht2k2K1wt10p5OjIXp3gfXLBGGN/KDvAObHQlOKxLO0ItDNeV6Ac5jvR9bqJatt7+YEL8dqKgdPiCN4uXe5Jj4T7DEvBmJSsxPRWnQrPZQhpBykzu3hXL2zWMLABTLxl0J6ItuypcZtgEQsmT9b1i1KzbDe3UWFQ3UAR5dnft2p9e0pfTpHuq9zOynJQU7WU1t6IgE1LU17VkCgBGlz0AdoxAqwv8dmRp/dLjuYmCRNb7ONztYIEgFoY5NpDXvPY4wAd8htT5zOxEH/LBCoyN4CZPVUWZovlHoS8QgduakvOSJs2O8YIZZ46oVd0z6OVlQZIfeTC4E5PfuxMMBxygdo0nHee+C3N9cU8sxDPso4a4EAzDJ4W6fmpiSpAid8ssdlMa+SYz0+Dz7wgZQ+CmYLhqwrm0x7lw8EHJVHhZMahLbtaiZjC4TEojICDnEbVkDNDl5QFXkLfHS7Kj/pf/V/+Xs//kf9sz9/efPVFcUCsfv5u6ef/+l3335+3TeltFWt9BlVN5TSjTLz4g/fpbojg5YIZwSbyViQ7f6ZRGQoqEQjLzHoSFMZKsSoLUheHsASIms4lZQjGhx9lnGRbu7RW9g8F0Ivrxo9mYnMQPX2JGbkLnV68iBRxAJEWqsqgWklr42R7hYqDJn7esxoy2KlUYaGYGOVdkdEaxPrrEY1zBgaK/wECsLfbwEpMX3fT2mFQikix2bp9xIun1oMSDt4CULRye2cXERjLHxG9HHxd+T2bQzp7ip8+ig4smgJTkTQEr2UMEXa2oGN2RdKJLPLzZ1C9s6aBfdljzL/y+66RGAn2KWetTMMz4O7bxQY+XK9dpG36IfHN5f68s2bTx7Xp3jQUu9+YJbQanXf1npuPgKXW9X1zcr1q68eP/nt3wyt/+y//7OfvrkyV4bRYLu92M4JrcpUly+1RnAzYwvkeuB+aq3LpdUV8Ygug9PUS/eKLa4Mm8g2PfdoErBrdA3ITHSr2SxrjatXwivM9wvfs2rdLqF4ya+/espXn/+VP/i9P/wP/ur/9Rf/TTx/HP1YqjGdTQCYLD0wCOZbXYDQoLDIhmaDRd4HgwO7wJe/CSXNVXLwO1PaUw0EdNiANkTcQU1cqDmNU1gCrmagSHSdTgnhJM9JpndNjCMnqsiFqkmGwF1234Nvqxz1Jo+cdex1LmWZ3DVzK2eMcYMToNp7HobmxlQDt+sD5BieaSnJ7lJa+++L2FORZRg4/0vD52iCDzm+PVfphjDRnYMTtUlPwJA7U36CE5M0bT5SHWD5zp40/Rhk3PnIw7aEYtagAaHsOvmVOkE5gBlARAyoPP8V/kKsAT8t41HlTMetCRsFygC+hmbl1EvB1o3QeGEsI5+PB+DsUoCV2b6u/EzZ43k0HKpw6HeEoS2Rd52uzaumpXC8jHAGjocR49D+HSQDs8GDtAAr3HkPtisk2p+eWxpLmjWBT35FHM/KyVbHqKA5kKAbJ0yIMO9Cf8u33NJNB8keJTvmSgEaqtug+Uap7725IqILzBEtDZzn4uQTjCB8Rk3WKEaKEEEZS3FkhPsgCxyN/NudfcIpDT665+6JrALSX4enibjjxRirIANAbUS405tAJwvq4wCK8Abd+ePO5QPn4xwCzQn3pv/8FfZ06sYxe4K7CAzn9uFsGtIOwN3nkBU+Xq07wVPzifVsDA7UPjg4YngxhVHVsLnUg9pRuE2bNKIaZ0we4k6gei12MYuXbMnic8KQS/tiFoYPmLANz82cCh4wueXu0LfS4ioItcKwL5lbWrt2MkoVvsfCrcgI8jzZ9IC+yiB6ZsjjwZl0L1OajCU00WwEWXHaYrTBxhiL5UHJiSFZ1T7ihmnECi01pV500F2X0kuTEIyaM4pyvFwQ2FRsbN8wfmbRKrQ5DsuSG6QRgGY7YFU1/xgAene7z/ep6xy9gyYjTOOCBOweCsKLTgnA4NxMCwWFrxvNm3UlQOvk+juBBx6sxwVkRFr3w+Yzeozm5xM7Bny44GDSnUSDtXbF4dxjh8323/ahN0F+eGvjWpg8vYF5m55kPeNwhgsMXmNxnwjPhdWI5ZmR8zg1CjoR90vJZOimWOgLH5sv77l/+w9/7R/8u7/znj/57i/q9oKFFvrd++fPf/Lmq8+f+t2KiFaJVMHbddVAtVoV6YusgQQitQhEITIzk1KS3geQEV73QCEVQkTqoC6BMERMBqWMqdqO3YJlrKutJVQ0M2MDxAN57dJik2lEE7Q/fp6IGaIjRtss5xkGWQyGrXDuWoyWDHIlkNzEBamALdlu+wjMZeTHOLoajWhs5gVt6cNBGCnWHWNVlz5gJXNquDLQRmHAsE/FVhyTCbH8YRyNXoBKRVwWoYAXBAAcWMBPBJQYqNJ+HxLbNPgHYbGkaDSlVSRZXqNXx5MBv2xbVHx3R9Su0QdkSFSXPCmoEbutEOt6IfPG20KyCFFRqN1idEJaq7xtrbWAm/2f8fLdU/2U+xL5a7/0g++th0d06RQESY0lVt9AAhdE4LY/vuBv/7Vf/fpWT//dT757cSZKZ+xuCtmYmMEqUSgpk10NBReCQeLhgbhKRD1ghHVSN/ZDQFq3aCDWUp0l9e3rL4Cys1pQ9Hxm1lVMvkm5VrKuW2/X0+MzLg+v3+q7n6/vHr/8a//Wr/zRHz388f/xm0+ffzUv11tudXOv4Op4Qa/BIRAJFjwIB0o8MNupOPMHjUqMEAZwQrx8z0uRznSO5iC3/ju+0Ehi4kctVrfsyG0yeu5H7WkvY06d7D2axigmuKwDoQvQ2VuISJBlvD2OzGbUn2mNHE4ijKzSA5nubrcTC910xdQAE3sjvzGXZx0yHF3hWccoTtJ1bf5uD4Tjsp0TUF22tjsxsHBoEzSFiElIameMN4JSGerS0IbOGxMzRvDnzrJIs4GnjxZNRfZfqiXp3+VQQYtOB3PkRCn0MPyagXzET9YJDeCFMfim41UJORDPchsn+Hn8cc/teTJPkPpAGefzHIT+nBIBwZRqblrj8uAhGayhjPsXgcBYC71N1blM518ORwVgjdrFODAIKDFme8WIrFBnbxZngm8G/7LNwHnZg9bMda6kM1NAMzlkQFvBLu+DGlWW51tYrz8sitdmC0MhhVAUkD5+5ktLeURb3CXHOsj6JNhjLYloQulGusbD1QIRlo6S6EJ4GuP5ZlGMaL9EiZPACcDLWhiTiRs8ylR4vTbigIrGTxHtgcBnScbYfSboByEOb0KSBM92AP8FI6Bh2CCc2eSgjPgwyxG2bWOaIEOfBN3YeXGNV0fh9DEnSMWAqbGU9kwYg2S6ooMxuj+fAAJ08LPb31FtaZpx6A7beWch3JHqw6CBGFjRAiiOX9C3qoqhyDENRAz2IpE6yg8CBs3BYY0M0RAEZ8MWfUgJoJc6A8mIRF7EqIXM0EMyqAUXlJzvzG4fSDbTt0UGVIesmB5llXOW4ITzE0lgrYnz2tSDC8NJDkB4TDqEgP9394TPmC7zqFykItlxFH6S1LPNF9wW60vNKOiGlnADCtql3rQ9rgwQN12Hu/u20dK+xbXQG7fNLqrZ0mBv8xrOsw2wa6RiIhjRhNL8BIbNSdMsONukBRs//eDTZWENzHWn+BRk9P2UA4cGEaFgAh5aQyPzAIEIeDMAT1LHaPLPASOIdB8/YkdgEgVNI0yHHrgnS1vEFOf4QuckYybPURTNJHIYBLXne8TIvU3GE35Kg8iAjyHQXm2UwWTW7eH99d0nv337d/6Tv/PqV9YXn39Tt8zgvvH2Hm/+9OmbP3t6+S7tzZ2oDyP13VJvv34ZylYmxWJwZebKdDTmshKrV2qlXWsTqcGY7RemQz2F9SG+a1PXQLcK3R2YEPRgBpCKbKT7rqgkLuQiSKxAhNKWZwLOiDLL5w4ZjIgIJ0YpjseSUGSZSIM560Dg4gayKa6JWbyLcWHnQLcQHcJOJw2bUbVZH41qVUcBaiJb3DWGeI5vdy4oHoZZhvoNkAFA7WBnI4CHQAiZeFgIr38kY0UwkCYuIibBeMD9PjBLy/RG+JmRoAzViIc5ezBgobndAl6/2J3nBUWVsXWl796Gg127dSuqVgOtukna2IFS12ZtVEV3lFTCbtx2q1gldVdQymq8bH31rv/8u5f/4Rdf/uSLL9++3BCxU2iwsalsXXo/NBXxcsknrGJer/2p+Hu/9sPf/uXPXl2qE7w8XOIBPYljLTWLUsHiSlWjcKvq7o6My1oPSyuV1GXFJfTAfADWYpLr4QRZ+hFkMe8AAtOFZ/qhsZiFfT1Nitlsn+Snx+v15eX29HR7fH4Tn//0C33/m7//H/31V7/Mt++fM1LcSGSke9t0iSaZYfevz7IrcQTm3wLybM5Zl+WzXjxsIEaCaIN4oyFbnJ2B5qsEw0EKYb6pjFP4GhqLTGAiKzhq9A/gnUEYDP2OcKvMhvMszTWF+zpD5v4PHH2rqK1RGoFwYL095+EhdOBHw19gRkzAPcmBpwdO9JThqi+/1+kQmrKMz/2IOb7BkiCHd/kRifPhKdyVCCV3FEKXa4+rop1ZvnXZE3jnODGDmmJiiAEqyT1iF06v5DvcqnjRa0Qxiqxplu5IrdjItk7KfPq0HK4yhLwPy7yzdMfpT/IR+hSHUVkMO87DIOtDzHvPwca4RAzvjv/hFCWLw/z+/YbdTDWhYBAR4ZZO7S/DWUxjMDlNqL8wYuyU1AkoP1XUEqzRWdgaZp/r7JFkGonqpIvdgS8kcDsX1Z66SXYaaYpxeGsiZlkZpkSD5liEHuNGY4gAlijLyqSSdqOVRn/qBPFiNAVAIBERXFTCSy35QQLkbqcG5yuEvxWnWZzG37pEN+eg9cGE43HOl9HGHMMT1Ux/PXj08Ce2qh7AW2Cz5ahp99a27VsyRExOIJH0OGlW0UibAb1zbjIG+pbzLHxRnc5oSrjReytEeF6mCoOL4S498zMQo7SGpeEtoVvT2crHemg3CChDI3EeyMNQDGXVgwPD7bgPSAtIHNABqoQWFMJafAgfbvNDgttd0s4jJ/PAle24pMBW+J5RoEOKIJoOdiAxqeGhEDNXLsYFl4gxi9gwPvSX0zd9FtPD7QgYM5BokDo0W4ySx9Z2Shky2rPbV6oVVn0WsyyHdXAW2fpvHkA6cp7GnitdVlJuqDTKsVaZmxfU6I1uVanQN38dhVaY5USpOjZRUNdJXhQodKPQ1WpWh4aNIAFmklAcvGmOkwdZTz8+ZJhKl16h6bgKDGDqO7kPyxCGkj5EwcTIhHRo2TYqJQewY4CLMWSdwkkaMznpyVOYGZinl8MQDHEwxxGTHwPHj/kz9k2WA+hJp/Y47KY5zJkAGoOY65rBsMOCUtBXLQsctMPwUSLIYFhCeMN74hIV++Hp7/+vfvs3/o310+/+5PrlD7Tx9Hzj1ndfPv/iz95e3+4uFaqJ5uXWbOCmXcVyEXf3UR57e10QF2FBK7CwFgPIjIxkmEhsVVGIdl4auqgrdGPvul37unV91n7R7WVX4eYGzji+jazOF8NMVxGIxsWAJLGSa3FFRHAlFgckIWtuk5iIK4DR2+44BS+IpOVAo7kVIur8a528ip4JXVVeAQu1c1gxgkfPunOXFaBqGrcLKrwJQF0lYO5xm+0hGjbiTKtmzw2qgpGMXLhcyOTlEq+SixHJkJKgJcYAC366LW4IyCBghEB4wzFG7AHDJwzPRg6u4NR9oiwFqzFAqmsmE6FLfuYlaEn+mjopdIE7uhcruqpv2O9xvdbthtutr9e9tfbmLjZYuy3r7Y0b0d29u0vPW1+/v/7JF1/98edffn27McnLxaKLYHmui0Ls1r5Z6nfp+iufvPqD3/jxZ69XXTcgVjFjAloVVNzEhsprqAQVd1WpbnvHyodLcCUXU0plXQrUWpErgLazwliJOlRQa0VnuNMrQ0FRdZoM87aJnnK5pdvet9rPt9t+0tNVb97ffvrzv/grf+NHf+9//rv9yZvr+3rgI8DKZhKWVyaQaUjEfS1thfWq88mYbbShzjbSkEYIBcZZwKNRGeiU9wMnwNAqbb/UkG0QvJXPXIPtRbSmCJ3CCDlclS1btNllbPm8jhYpAOfuu4dGKBTuomvYfaICyLa+9gTZEAjXS/8UhPKuo2xT2IDt7tKInwMMaBKzrfXm3MSCNQqBCdIPWnl5Oj6QFJ2cgCFezMHFtNDZMOBlHwSPsM4foz9+f7pQqIA2cEGE+9+wVB7JHAwALlxCOYWujYXY6QaYkLegxLINSkC5lXJIq0nOSMKxhIy7VjvMHU03aF3HfH7jJdIByzyH+JrkmQjJ+aDlajwIbVlcOdRQgWT3eTuYmcAX10HoYLOzbXCuejhom3HruPd3891NheRUOlPBR6C+yvh0iIsMcwXyOnl/qAh0OMUoECPBlRo50Kpz9N0SMIDktAw4F7nb7JlG7HPqwJHzCt0tiNXcPeKKeeeGrSFLNgNey+YPOLZ6wEBnOnp0B/uAy3HMxRzd3pDaNtcb+230Gkh/BgRHZZ28Eu/fPGGvJ0NAmJM9cGowqysExDIcTtr0UWd6NjBlE+iJoneyLwkVTLEcUHSWw9HkN9UdjPmeZz8ZDoQ+gL1nvZyv2apXz6WauRdn8gOaOeAFo2dKakRTRCZ3GR3mrPYa5IPS0agNzDuVbEYXsyDWc7ruNisymNX7ooXY24lEoBhw5p/a17I9MmdAFQUtqMGc9W1mty/+JAPp79+wBsHK1dZe3mZ4IqeBsOxx7MZ+NkyqkaRmzcBsj4tQeOugTcCcXl7K4yKZAacJOYcvvBUuqudrCJ+cOVkEOpLYgTD5A1pF6AjJ9sjEIzqJ+3fWIHErZABdGpxzkAYffBacBHJynkRm1/IZ7eo+3X4gJram665OBYvIHmSqDHM6zMBXrbzMXSogkypkoptyjgMkeQsVWuXrap4XeQ52xjxGRQVJjvjUiN1xEJa5bW10RrNHwGM0e/YdQH0eTtl2ZlpLR/6jwbEM6U843uy+nHsZAGMwo6k+42FwzreBqDGvBStzeUrw7/Yo27yEiHj30r/3b/7Nf+Xf+1tf1v/w7hvE02/2/pyNb75+89M/+eLN2xv2I5ca8nrShheuEVXtDYtR6gCZi4wdi7xgGUVJKZSmNzrkqwLkhSoIgT6R383GtcE0Nht9C0dV6Vad5HKCD+mUIy8taSiTajCz0ZcO+CcGxawqd6YhanUhY3txrXGxudQZNQCQFeyRttFYOzCsojWZrUhR0T07T9gIp+7QScGUje3GM+StddrB8MO623ujgaWRzd93HtDjZvomktUXAOVpMoNMZUZK9HcaHDUWQDq9BiSYI/AfbNBWfcGbBLRbVESMKHwmjfayjGSqJ+8BTTbKCVhbJApE2RIBSFuatPrbuDfFnl303b5Lo9LCsW6wCRST1C1WLAE3etdmdCGS2862QNS+NlspRX/xsPDwyz/4weXjDJXQmVUk4T4tsxQRytZtKf76r/zyr//Ft18+fbUbjB3KsckQKKsnuccQMW30Fb0SLF4Ya0SYdQ0sOrmUD0BcorZrnqo2k0CotqFGpsEBNMS0QwNVgVCyENhop8dfo7MD37Fel27iy+1nn9++//Ev/sV/9Ft/9P/42c/+X99+7/qDteqaRSILFRUI3uBbQyWcPYydotKUYSuRDom1Sibr9Bew/DyMwjgOzoWdmKgdoxzNOJQopCJHShB9OmtR3UrrSSzf6MkXCh19GiOMYA/92ccAOVGgEno2iIlcvlqC1gJyvF4uYt6K1GllmG/S1jEBHwPLB640DP2N7fGENjTL6JYGw5kr/mhv5NZyEd2ef9wnTRcoUdFstO9+lzrL3+BDBI5bVl535GUQ7o7oSIs+n+7Z6UlLmMyBTMYTO71FACRLCLsvpj+Zm0InElQ42SF0Nmyz8wON6De/oRzzuKNg48NHFmO2/NCxj/loGlUmMbkR7rijRqFp1pmnTUcGLLmUa9mhEqZ+qUePcHzsBuya3se2zD+1nHJp5NGTRQAYf7mbYh34mYoKMu3dDnZ4k0E4oZShHjHMCHehieii1ZmeREo4wxWV7NlcIIt3OP8O2ZM+FeMRsRQxRKrLA6EHtBhtjLmy3UDUEPI2ObD7dL7t8R2zl9dHZqwFJOeMjaHVve589hZlhbBm6ByKb8XUqylhw46N7s0Ymki7x5zDPe/RrE6O4tmW1YQiu0xoTwhZEGT24AwzRPmJGe9Js43ugdZAhtNzwi+fHZOyl9L2G6YRMo35Y1Jc7jtO3dD5c4MA1ugufAinFYqGUI3ZXcXpkVvFIRqtAfamtEnbngnHCJc3S4hIyFV+M7SE2s5VL3dkKeAEDuUaDlaHC4NRAYoMNr2D3mJEtFueZjuoB93IYHeEV4wRAHb2eQL8QInWWELusSEbqujbHwsZHsQ9BCOCJt5KkKJYTdsQLFsz+iIpmOUsNtuAerzwSsBRk372ljdxUBJixYkBaGXSa8XCSeDsIKoZiMUq5FJvIBJGCyesjA2bNkSkHdC2DPvRDBdoho1p3QAr7IIJXyZWHS5Hxg/JeSCFPM9E6cjA3JBbrAHPUx6saI5i6nfMHYEhy7It4D3U7Si7HU7gYbemqQc+DG6HJaOr4yGaOQJcqk7j5rb9BGEMU+Wp2P7nDoT7JziZ3r5VTFAkGzzrz8whcqK515wnr3lLBYqN5lL0vmSvr/WL9def/o3/5D+8fF/fft7c2fnm9rz3t7ev/uTp6We63mJjZ2e7xk0fl3UthQOFiyKjkWJwrVSQ1ZUMiswUQTsagB0OBdD2KjGB2NWpCNZmgCrPzuwQ65LVoBaTvMS+aC0gxvtY/vC6nIVNkOnJkH5AYxnrUTv2p4TMdkaPutXGWnJu2rnyw6tDJtC0PWofnhba3gJU20w3WWDMZmK5wkFW/7V3JmZjREH+PrdiqavBbpu3msEodGr0AMFUiNVcdrOpwbW4iPQQl9UAitEsR16IjtgkIpot8tIhBi/TzngfkUdJ0+ITIS4ooQB3EtURGVSp1ySmoUggwqq/Ukizmh3s0f13i3krpQ3pA6XAUq0muBeaN4mB8HhxBZKxvJJC3YzZFB0CbtW3l+7Xl24843b95jt89Opf+NHHn94eX+dtdycZpK+egmrvy8pFqOpXXn32Wz/83j//2ZdPfYuOi9WozhkJQOFdmhUVUBcQ6YVDYrYyL71rCeHM54zdFb14gTKYO556I9S1vdLBm5jdjnkeU2lcbKyFFKO6bbhoaV869tLKt7i+rlzPr+sNfv4Xf/G9389/7X/zK/+Hn3zz/i/i1evv8fILZLRekcWbUTFvVFmMLQr70OKyyd70ps9fKIA9QzJM4NQ0dgd01hDwIvMgchqXZJFhsHkAV1+uFJhRh5ZvkDC90q76OWFvk7jRiYDRfKOX6W27cqQBbcegFz5AgZ5nwvc44EY/6oDPno1NDBOj1cXhUXXkSoNUYxCWmDEhDYnZInG/ZS3CDvSWY/EMBCjc21c0N8EK75PlqPzNBFMsV/3xxRKDR6YFeK0KsBsL5giRGV7XLbSt01Y8D8FjqsHbOcOaCVflgvPMJXGUN5w3PIFJEzHIqTwNdXNZCEREqyNa7Uj/mHyUocg1SIy83dBYew+P6Mb1NPxyNkXOOOLv6RDZdD+KmQMwqh1iQvR4XMI8gxTVFfBxW2N8MA9hAaXTNUya9/lxnMVgjvYPZ6xbXKnVuC0GIg30+PWBeSRiJKC0xksnHtF+gQpObo/uqJwsyCRIVXrVtKE+RgtosBm1pUjMFoczQ3k9jw+I3xJt1gnXA9NdQ4ulWbC+f0b2y8S47K1+Oy2LuRJiGat3d+8NpQNuT0cC+MhO7GZ4CV53B1GWxY6/nTBQwhnuuwUUY1ZdhlVMYSWeziU3QTMaKZE7sOEMw2rEOU7DFppdNxJGakOhA+gOO5EkW9tvpAnQ0XPoQZmp2S0g93DT8OlOWFAzyxm8FWDnRs8lsqLL35KHaZNXPplx0t3Ht092ZpAbV3dflqX73ooJ53KuPsc+ZNjQOfpC3Ic6Hz9fY+ZjrMiJ5KDIOQuTJcBK27bVylfxnKgGI8xthZXWmQnTA0OtCUyoHbaZjOpWSB03OIqEmpVYggls07xMF2IJ4Z0TIKMELihW+MeQZ98AhTTSVMtZOWrlAOOkBk1EwzYYd0Iaos3geU+QlfPmyA0D1f565ULmqC5TTg1Rs4NuaOBBIwwnk3C8lXNOm0fuFOjxFqDb0mgCeVKRpJPzJtuJ4EV+foJ7Ln+IBufH/DXyScPzGqQM85v87PuKtiYYPZXHY4Ff1JS2uVzMTriIztsahsCPleV+mg/ECjR4BpopUc1NpUsKGtEXXMpNSL8sPV6vqx/7X/sPf++v/Z0f/fGXf1Jff8xe1/3d83e3n//ZN1///N37m4AFlna1Qpetymi9qObprm5ELiFjpRimkxShjPBzlfa1FNDtbW6uFpS0Z03wzap/bwUWGJZRkU8S8YJrN2+V2ehGXjI7bmwtZXldd7QKzFaFmGwkE9giqcWoYgo3waFcTacBR1OLaAdeIeAgLwWg1FnKXUL6njHkEpL3yTqc8nixOGkT0QY9is6H8VI+zQ8wkc6NBjJCwghdWTkgLZjqaZ3RQsQOpNuCYMAdMhfUY9/12GKFEt1jTNK2FQZ2Z8UdqJu8fmWwA9wQkKxO52gDddOI0QZwDLJarJbz3sBQ72AVIjq7VdjqgpN/sJlJgCjYerog3VQhgL3FC7hxU4XUF6DhZW8xkJ/zx1LX69ZCY3399t1Pv/zFb756/OSjz9LydLLCC0pikR2qfETdsioSP/jk448eL09VnSVlo4JqtNVJBLtpPRPI2GWrEwqGdrhqT8Bgk24kGmAmSD4qq7u6QzGiGqoodM0WGkAn/MlMfbEvvUZO0i2uLvGld9YVincPb76on37x+e/94d//43/Y/+V/+pPFjxmX7lsmVKxU1sGtQqoESwaBTQow0Ccq20J5TFiIlZN9er0x1lKjfjyARZ4QSZ1r6ZDdjgOJpDqKCu+TirFNyve9zMe4+mJC9kdOkAVlmu02oO1goHncTlN/VBcjV6IFSLy5HWJPbPMwn+53PP9AgB38wJhMoVakF9D1AfqMIzZt5Spq8k9Ug5MO+YZp/IwEhz9n+ck2ZivxRC2RtMAFhHN9bA7yQfMfNEQ5Rmz7NACz1wYMkVzDyZuNMGh7XLpi4gBxxspPGwuVfPmD0xSNU6+FRU69m2bQqr+xZ84aMzMmzony3+VEzTVIwoizPuCsmCUSPP+UGNR0tj4Q96EsYK/JaBis/5YrQN8/SsyPBjnz3Oh/3Z/lycVGVyhJykFzmej0jMjOWYeeQEUacWm/O1pUM/Wfw6GDKLS/qUEgYpge3okvUxfwMYpzXcPyX4t0lP5W3AF4ec/8pi1FjsPFmVEjM1tkG2U0G2TM0E2Ux2lzBmHw33gUdJIJe7IHBQSWm5UIOqXFtZnzP2mgavKkJTnBX5MFGoeQ4oxkwkGuJUzyq7tNk9FEW8DfIKPlhFpNn6jzHLjGUyrvGsUddNBJXcLMsG63p1M6s0WLXojnNzRaNDeD0oewAHtd/XRNfuwZM3mCa8thIAaY8giQZCjChv9qJJwv1TxZuQF1BxVgRRIXrM3tQDdIWJ6TGurgOrTqpHHSsgdApbYdj9N3ih6sXZE1vj0rC+RhDSGmF7mpd9Bkb6sQkScFQXRSiYF7Cju5FG2Zlgd4TJGQFqjY3RAvrXLsrSLhMFyycQFvjQinBExSUwy3kURhEYqVFjzLC4kv4XgXlo93sOUty5S0pBvgZgvNhfTbxEhM1csSdRHpOdLhJpbPHukqRtHTJ/0olDUXlK+SGNxDh/KzBH8AcmurHAqQB6/NWSlzGvgAkDFaUZNSrpqjaRJVmAdHmn3NPI37PN/DqFnehLw3+W1VrF3DuDfuVjQWwmXWXJ0kp+HMuQbuAFoCm1Ov/P7yTLFmNUaFBY7t26F8zs+3YCxqk6+Rz0/vfv1f+NH/7N//gy/yp2+v30b/IG71/s1X7z/Pb798fn6/rOJwyDc0ot9yxeK5DYMRjFzNGoI7zNPEUiWIqx9b7R0qqIrILnGz2ik5nrvNRg9t736aQZWuj33lWoFVjVtcLlgXrMtC74pCjb8fsS1fYyy3MQsE5uKyeNFjm2UMQNNxQ5xNV9Kd/J+fa5Idoxg0bbk9RZsNKTJDbXoLDUQl2RVsYUWp0ciKXqd1SKdXuUgzTiixtUvk+PmdswVEdMqmnxHtWdJP1VHyMhLB7h0p9JhlOvyTFNzihYoJ6UL3bIMIep91LLSIancNErzq04GpAVYB6pt9/cVRYAycGXtXtP0AVBW1rnGDbuB46FdyXfqyFoG6ELeAdH3RWlkUVlz7thTrgosUa3ZDMaTiDX3b/Zzaevg8nj7/9M2PvveDuO0AqI5KePexSPTeyF2Nhcauvjzmw0vv7pu9mz1fWDUTjnhJqVlqp3SW2C+lVC50ILdm1TRPoqLE4GJsXILXjKlbctpak2FXaBCFQCOUSlB4iCUUTCa3doOXDqmukFBY798+/fxP3vzKx1/94T/+jf/2v/rnzz9598nt01Jc9bwuD4lwXHEnpvIzo6Wee8T841lK47SfnnauR+PqbAg3M1OwfQyjzSnSaYizuF2SuQW3ZthS9GgTg1E82nbg1OBmUxGcfXSeUCom913OcDndiX0ExL1fwEH41QKX8oY+DufxFt9xWUF5YEEHL9dIeaTBiBh2DjWRNo8WkBwhquDuxXjO4DPmaEe8QRwcd599DJ4uJgnI8Sq+sjCH1l2zu0kdyaYsSfEc4qYODjhyL8P02J5hJPGUI8fBx3wyXi593qPjRVtpENJSqAGzYiLAqUIvxM032pS/e4Yl/JANIN2euGyNrAir944QsY8x9KhLzXaS0NjNR5AR8HQhZ1XijF5es3LEyKPfclfnIWn+oGcuKw0gx966XxsUy5nz6JSSbfY1/XPU9hl7Xei0o9ZPTi0d3RNhg0UzprkfVqk8K08kT/d0HvOGpkeYrHULcvoM1q3xW0pHPdDuU9BeHMKWdymRQG14Y4rSJfUQR6C7zph5C8Mv75517RgL6nS5khaMyvsEH6TqpDJBPpCaGYhW5giTkaqTjjiDnNPu8ZfaLv8q34A8XZbmFx1llvcEuOIIsGKDgqKtqx3iZl7dOYeDIZw7wIPE/cPwpjM/J/4zHaY0/To9i534lobHXQYOZdOYS2peD2HyTDQY61EL97VmGrg2NCxOHitfGbCz3MqniB1WxF2OT9YTj0ZvhSPvUzSxhCOPEzpiwSodnkF7XFE4d28jg1H7Bsd6s9vp9QwAdXR5PO0DIsYxZBLR13HJAmk6uHMBna30w6ozO7REJKVew/GZtpBVCAsikWDMevJCrodmUekjEbSUlCPxCC3GCdDNbkZnB7OrZzCyJrMkL9j0xgABEWxLKeS+c7YH0nFGM/QGVCBFso7QDeMOwZoxmTPvx7hA/BmPSFL3m+tcY3eSzENuDG8A9oR+Dfw755Yhbd9kTbDjKEB91U8nbtWHzce+kjXIPugkSrBwHN6kuhBr6JcY3mxGetdGnP4YZuXu1iFyJrczQlooDwG6NhaSIUTztj7Oy7t+d/2l7/7Bf/Svfe93X/+zL/57vPTtxud39e7rly9+cXn67rb3Yw8ikz6WcO4PbEMWgBVSrFgN7iDTcfQpEpliJRoeNLtau3WjbqhqFrpZ195U9JL2Jhe8+24GG3kXd0S/gLH3WvXUfEA93vJhvfroYuONXDFWZTEvyWhFBdNSKjb36iBZSrKAB3EPC09ftIUIYvtw+CjFpFgwfWVEOYLwTrDAWGCaek1UWbfjUgo6QRyZS7pRiC75y5BZA5LlnRcNNyjWijmWolGREVL7CCYS3OrdWt5NhY5In3CJFIOgeiB/I5mVlksBTpEzD3/nbINobZbdbMEqhjZ7FDL0FlmghN6sG/QsL+LaW1XardqFWir0rYOOYe+dktTMZEXmDq1L96utzLUUF0M5LBSDa1Cv2p0VFepXYgbGnYEUUruf3vcvXm7/LL783g9+/HsfPUSwd0PbGvsAQgA3LkTkm6eXr968ZWdwz3VQYKg6IrBadmsXCqDVhtfuNcAFct+8+KN6vN0tJLOg2OBDMMXM3LsP7CcYT4CTYEpY4FYjokuIhCqoqsYKYHVXV9zEQmd24InNp28f//jP//hv/63f/8N/8pv/xf/uf3p4+dXb4vXyHeIirxxrIZ1UfuAmr2lp2vcS9mg3aLWH7a8RE77Xgz+cZr+H49Idk7AfCRGcldb2dRU6nJjin9F35Yd7ePM2RzXjPkOGiVKh1CDH093JpQrWTxNRYx2GLIfw/iZZGsOzv6JnhysFuDS0V2kaNchZy2XWg4hW2WsarXYfIyWjWdY8BE1e91Gza3Qr0zw4uHiOoqWEMjga03RrMgmi0AtomNJsZliLO3SCu2UBo8gdnJgESlWaG1yjTJ2F7RbzTksV576PsQL22L35Iafen4wjAjFz2vEHa6xnCpsDaa5o7AcGUoXJmJ8+DG4m2pNhCN0mbaaeAiPKt3bXIHIPeQ+wafVXA8Gwma7IGGeoXXg2EhrF10QUeQPBLG21ZcP3gSgwcpS19UDgBNnSUX4DUx8anQcoN/FOp+nEJMrPS4MNJo47N8MOmRCkD2VmdEuBUHSXdV/OU7UPfg6oRyGMSICZhmIRXO62ppthMtUdnpT8LxUY5U8fvI9Co6KD2QYmT7roec8EZi7gaY9McNgNdrie48IJYnBPF6Pp+kmU2wYHVWF0SDijwbwkHiXDpLGTwy+NkKSsORY4ndJ09+YRJpXCOhWiW8m5NejY4GH0iMNqHnjAouZ5OlvFiBC8CQqh9KdlSMP/xQAstDasekaDgVn91g6R6H823x82etnMcODORWwhpIikVPN52rnny6Pnh/gF63Ag4Qk7ZvJozyuzJ6E4EngTK6AwDAW8oBQVF0Jgo3zVJHFT0/2NTychdmYaU2dEWWoaQ3SFqV4fdUYs9i4PLDEvlsGD4vdstsHIvjrYfjwjMujls4uEEjOaRbOMEsmC2KaYKILVimCImzDRnHMmstlAARE0idloOxYwORRzkMw4ho0pduV4JaaDDX2cZ+hDhzeWmpxIJ/hydljQQqyGtZZ3mtVc12C/njBMkzuiMo3KkK6h/rM2WwRUDsIyIk+OBtOaunkp7JEEIY45zeiHgVQOLyiIEXk/lPOPTl2Cwo6GcAKzX6+7f7+6iL6nJCfOCmQqd/araDVfkH3Zn/bL43t+8eN/8Orv/pNf/fb5i5e3S0+U3r579/zN589vvsTtiegdTWZUH5rCK3FqZJORgeAlaA0KI1Z0uMXIcKz7bqrVW9rELfTc+yoVe4t1syt0xy2B5eneCL2DGjVRhdVxobBQF2U1ryxe8dL5euUjecFaUkcnotRI60XDt+fKBCl2oFM5d4kYwsqbFQlqkInYdy+S/8cKDxBVYXo/DG1ABkSJ9tOjkLbhVLE5i0yp6uLs/YmYDFVJnER2k2UMpRf15nGsJ0TvDwylCShgBTPC7gGQiSN8AzzqHBFCBMZ45SOYGJvJWRHhJ4oYHS/66qkldsUS4KWv1V3a0n4pFXDD9Xar4n5qdO9b17WkuN2uurm0KxpA7tzpkrKC0QzkJa4PvS7Vr2I9rljjXIsL66U7uyKW+rmVYm0+XLhwZ4ehCCDeFf75l2/2P/vjx9/6wa99/5c/eQhckbuKAerCugRvXLfL+me/+PlPv/7m7W0bT3NvswvcrCgwbYP2LNdCqZnszi5FbUYqS71gaTaCwK5C4paIaxNkMi7BXaiWl1eFt5k4Xw8thgXZcchHishuOWi8e3zjdcMzdmT288PXv3jz9a/92b/wb/zWn/yfv/nm//3m8vCxLskb1MmLXYey7ACDMREch9sxvRlfN6YAb2534/ghDNJt9kmW6/ZZwzTX1ijBs5+Cdu9j3tpQwy4ggzESrCJBD67FTqWZf8Xp/hXJLigcx0/m0RFYTBKTgdaEP8224VbTz43B+p6BOXGiBj1WaAIgBrrsGFNAjHVwnvyeQjqRxu5gbExFO4VTBgjT3QqlHkfcXcM7eRZTWWYOaOPqxockBfY8f3Aa+GA2FGJ5F92g+5qe0TBRzQ5CSagJPSX8SbalBRocM8nxTEKBNZIlzwLu33i4Y51m0AbMtLGf08Q7KmVKR3jbmGuyv12ltbIKDHTP2XEBzoYoxpkbGqfT8wc/OqGCwo3/sWYbuLC+jmNd9Mc/ShIq5pdNtwUOnifjTHJIvXemGPY0+dQGQRjtbAFPExQxzK5bNV+arrLz7XCgHw6EaHGZW1bLD2bPj/kUqZz3xWxt0iXB5L8HKwvVzU33tNMAVBgnCt39jzBryF6XhCJiVARpE+voVmKeVUJYA2FaJiajAD41fRi8hKYtCanzvjLGbxYis+cNNxVHaxOjdDUCexQ+QaCmzz5iIWsCjPH3QA3ESIuiosIzuKxIDTZiODizXWEdfO82OEBjDzIFM/Y58w2TeKgl1hnbw9yHFWjn+JRbWbd0ANBeK68Zj41pxtkFdrDgdVQJEWtrE1FyaWKwSWTNAhWa3vO5dvPnxt2grQ0bMZSDxm0uhx/4RJXbUiEiqjsOqC9zpTb3oaMohoLVNgH4IA5H62J9SUPmWGDFSLPoEgh4dgSErnQjEzYnI/PQgzw78TgOFzN9HQnn0xeZESgL8JxfGAplR3eDoehkNNAdmvdGB667E6cBkVaKrQVu6UI62Uo6G7nulE+dwd+sylBFdk8cVzgFOSBeEYmqEzamYbD+UuFjDFvFA3KMDHKIwbAZV47FMJniT6FMWnt1iNUj6t1nZRTcZYaGRx4y12nbHJ/RPHKHvZswH0mmiWY/RoFs3Ofqw7LzMG5RbSe+xxU1mZq1kW2GEAV/CENNNZDCZUuMXPulHn706t/+j3/n1a+++/ynb/XmoV7qZT9/++W3736O6zONZK4Lr9UgK4xP9H1GYkRTD0CmDC4/JiNNgwJgtXq3KvatsbGfdj+jbuwre295L7cIMHqKem/aGh1+ZLJagcpUVTBuTbKqlRErr08dt4qP8vJKeEwmulUP+aDNXgbsggvHZxve/kGSXMBWELoQWKdF0uQfmG2JqJo8RSFs4pHKBFv5gpbPVAjq9DIulGOI0HPzBibv3/WWLHPE6krHKsMNCBglpN2YNjEFA+qAMzp94ZjbbyAUU+oGx2XCSTH3QuZReySohurCQiCNZ5K42SWtQNwkNW7qvqLhaExUd1yxb+Iz9sbtWtctXHHbfQF79252qyTdBMRFUStv3s+TLe6VWat3BlZdXsXjYz98nLyAD0HFA+IZDUV19SWqtUsvpYfGJRSLDAQd8JNPXf/882/j6e3v/7X+q9///qevLq/WJYnkZZWeL/zuef/k2y//u7/4/M3zy3VoQ5tDoFbzilqAGBG6FVMjEN49SwXV4E1SIcPYXWqiwamyzIQlExMuHaOT4kxT3KgtIIUbGr2asIG0KepBoWj1Li73VLddynh+wQW6PNf/9JM//3u/+5t/8I9/8//yp/+M7/Dq+TM91GhgvGHK84cjsAMY0FS+l0ZcMR2yC6EF1dMmHVh3bqnyfzKnRYFZKAta3JA5esI3isNvo9Et50A4tXjq5xDoItjobBMsMyaPyNzdjpg5yCgw+kwd1JMGN+xzVZG0cynGtTXdWs+rt2RAg4XVvfz2GTxAb0RqJ7RImHBzUwscEg0IJ9VhSrDQoTC7bSHpZNjwNMpRRynhhkxqYDm7FQN7p44SJL0DTSC89hg3Dbs7X+KkOBikSgwS3jHU2uG/MR2/QcwpW91NmEq3vMX4r4eZoQAwiX1Dtdw7JQ3cZomsTYxWlbeBKvNAo5qm14MMn3C6Zzgd6AMPTinSph+12RbgiMUx7WvMFUWN26iIPNLc+Xcu0oNfugBZedYWNRaZMEokLiN/GXNIwHVHeRlUOSBbTqDriAlj9C0geB0MRpw2gF4c7b2fHkvTIY+zEztFa5elRFiKbtVJWpw+22gtB9NZ8UZgiBezEzi/3efNVAdmsHRD4Y8WGFdzQ0tEmtprKMqagTbz0zhBmAMh6uCNPSkqU4k1g0CPyxycqeWMLR7u6GJ2bhFB1iojSARg2pM6OT8AuitItnZoEbYOJuOMy4CrRbC6rCRzAwVZyUBP1B6jJvx+vCW4Q67TFvqvuFSWqSVNO3m2RUyirwM2Y2KAedfGkW3HEdGomPkQ0ZSBe5TVLmYfDgY3kInTbsMWDoMsLRLlZk/Li3RnPaHOzDXH0x0KjlPEZ0TZLDZczx0AfYhdWghpYwe5HDrOTqsEZlYGPN4c+aZZOWsUzMet0TeqGUttJU9LTm8NKVMscXHeqsgCSeTIXk01OCdyAC+ypDyRpEpZlp7TxfCGDnEtVGm0z/d7diACYzNedBt2bOlo+9wlNWbf30Q99SjcLMGzJd4vT3b5dvfCIDPet9uqCaji/EbIRYkHGxrFhA/cWAQ+aPVkbc6ILAadawwZf2/INF+FT/2hC+BDapa3Y2L5ZuA2tGJjEGHAo72kxulIbsnHdTRst78XQzhp0o6pRrAuQfRtv8PzX/v7P/yDf+nXv37+9vr+WS9r3/rlu+fvfv72+u1SlDoBqOwrRbm4RXKX1+c0uDIjlSJWXZCxkIFbiwFW8ZbVqhfsJ/R7Xa+ha6u6K8KQUy0fuSDkuTZp+dXQYfaaaJKuW1IzMvuRuJHqzg1AO7qQj1gXde1a2d2P4Re5I9yeIYmX6EULsJhuGDKELkQ2FIt18/dhX08s37WZUV6B61q0oeVKVKoEqlcMsgu760vOm7PykSMHF6L6ADzEyfly2gIM5JSUHqJxcDTFFOOz2i5MHgwHS1Wt4ObZqkOP8Q0mBLHn4fc2ScXuTgDYTphAlxB9E/dNdVNvXHt3t7ZUYrGf8vbuiur9gusNuxpb0XpHENg70VvTksVt31RW0uSQrt0FYqOv6pfSRXXFw+uIVz6lq15DgNbCTaK0RPFZVRcu4MK0njCyr2Jo/Y/fvfvmj3/++Q+vv/q91x+/unzyuC5cC5dvv33+0+++/aOf/+xn7/eLgr2vu3yYup2nu1KTgtmdqJ5cNtCaEwqBKjB29CICvXsbQLfIui1KqcZiYl3ypSadw8vCz4JLeb+5Y0swAg4lWeUnPEAUxS0sqntf+R2veUV8sb/45S9+5x/+5n/1T/+br/9Pzz96/7vvLz/rcx9GXrorR7jKrkmMkTQ7wtzTUQq/VQkzUbcUCrSwLF3itMW+faxkpJcQnpJqRBJdNLBgLbHGZTN9UdEwMzIH+Rgtu2YcYNCZnweI9++VMqIBJtsMgsuhx1/iQ9qOgA0kckLWowVog+kUI42PUqa1dPrLA3vBuLlLLNAY1IZGdhQw/YwBgDDF3Ij7DAUyseyiPEJ193UBlXWBiRGnQhwbFzD4ZdPKUs854+7EGdl6foNzdxihMv6uKCsHcDze0MiGfd3AQs1o74zQTK6eSCJMdbiT9h5kK0/dxQ0LISk8NAzQu04DfmDYgaZxsolp2GqELSbGvdd20DGI3danzrg2Lgl30h7SmqRaAXbaQuATCnqJ+SRfApgNuimavaN0FAmW+LuiAk1mj8zRuk0NMQJ7ryzqRW2OZm4eLvsCbBae1hdtYoMfGBJoT+MqRdR0Cqoq2ejbOhmZgSALys5zIvymP0R6u+nmiIs9vE2CkjF2hyHKeoVphRHmetxyYp0wp/xArPgKIKxHDMxfmea8gVSUxU4zSBJ2gLiB8ZA2eh1+mMp1lEk4GMHhXuBHgo41sgJ2INtj+AixApDWbNQdMw0H6lUoagBojd6IBkxI7Om/hi+M00/NfTOJQpTn2DmenE8V98ZQp230m/9AAR0mY7p5Qy2YICDMkQsL3mfy8Cs6eg0KGBuVg7QyrcEchYk8tgUglNr0bAg9H1n70DlVuUwrMUhjzlE1Ec7z66Xg+TLd/UGFGUSne568pkMxDB07T6Iks680tj9ykskGpBes9qhjKHU66hpUMDyQ9Gx8AHDsNHeIW+oMsiw0bPdwx0/rW9d/1mGWjoScU1VTdClH+U/GA4fgnDkAPrPDpvA+prqKgAROjTSb4sGOcuYTA2z7/kUeWP3cVTlDnbOnfCBwxyVMadjmNOXmLmJF6FSgOGS97h+OMLemQ+JgvlVCsMby5MN3x2jK+yzNynUxk80hJOZwejwxcxfpygf6IVWtSG3qwturRL6pt+tXnv7V/+jvvv5s/ezrb1+esF9Y7/fXf/Hl01c79qNCiMZmxWrcXPK61ARTqgpikStxWUj2JYgHRcFUEXbGS9czbrd9fe79VrySjS5RyGDKPiSuoHYJmSEo6jx9CrAS5adU3RFhGxWE7lsUK4qxmMLeRagUDWWDDwL3hmIFLVaQuNDNRRWxAAqRIFmNUDTsivGB3VOdw6M1wKoGGVtajtRwjWyVS82wSQRbQ0oFoogGVqtGBGJDkSFFadSnbNrus8zRjsEqcm5Bh126AaGcIAVRFrJGExFL222uvTCzzM/zKVRSqGNFlRhdDNZsK7xVsRONrYjaL4266rajrxsMFPup63nX066994twi4K6sFo1YfNFlPcZlPVexcYOLvUU6vBawAtAduO5WLWvt3goPr66VHK/xIrNSgYalco8Mr3qQkQqKivEFXXdyPXqL7589+bN0598vD55zFdrPT48PFd9+93zty/1rqXu3YUbhGglm0F1BCb2TTeBYdTDbbEFGJbIRDcLiF1TYUO1O6b+s6TsMTGx6kIVsgwBNkHe6K+/gtxVgl1NQKgaaYkmyeolClnu1BPVT+9vjw/9+i9++tVnf//j3/8Pfv0//6d/kn/yWHhY+2rT61bJUq+7vHp2lgyE32cKgOfmCRCEza6FAQ4IK+1PPngIGo0aNFAjGRb8laZ78iQjv5NDIsS5deNuqDW0H2OX07Ctc4072nGl1YIGlWelzt2vf8RImKIfitaRMnsm4KwkPTew78u2RZPeeeTOezxZcBSdq3Xg+KRkmgHZ2oAjguQ3leF0QMuiJ46nu4O83+HdPbj0nswRAmX80CdCtqkLdMTWKVTuOtptqRtUd4lWPbQickgNZsPaQINbmLAHWlhjsWLnNOTiRE+6RoojBewYJcS8eA875b5vSAhLBtnsaG8HPa/XtKVZ97h7RefkYeD2+YygEkb0T9BBYBxwZxiDmUk082ANvTz+tenmh+GxQM1aIzUcThjRrcXQRge843LG7+m3YoTvNBzrXSjTRd6ZCoqNfbgx7wiAJFRVAhPM2jzh20dZuxsN9UB49hpabG33WttIaQOJ5X6BD0qL+iBYurdF04pOi+GAuWlu4qRgzrigBqKdabuGGg61xoU9B8hahRh1zswxfX5buJdtYpwccYwmh6nxf3vrpp0lY0s0K8fuSdDEdLmTGzZXoY/HAUrTjv2jzTXm607No0bFHFlRrWY7aAzhwTTaLbIkJsoSl7l73AYNLm65khWeUAglxewOlFtq66ioUh5ipzUiyXFJn+HYV5p9+xHqtvZcwZCdV7SeSfA1tkDPStGGRs5SwcFUdsgZydG4i8GBWTTU4GnzKUC1ewTlzh6azcn08Y0ml3XujdaadXPO/HUDPBTepEjEeNN9i8cMx50zkVqS4iUFghBIJ4obYhjRAxxVZjUE7dvtgiYwCbBLPk4iHrhJ3C1Nbnl6nDZwpJXv5WAwJO60MG7OyFHW2aPZqEBoe8edC1b3hBLDBOhg6wZQ7udkWjWbz3i4PeMsfTJ2PZObcD23xHHE0LkvxsIGgPHdZ6nN0b+ISALeXusRsZvB/jDE2P05Q5BhFr8wzeSOc2qGoB5SDLPshKudY0cvdzpOqmFW/QiBAOPx9vq63vCCh+sDX17V+uJv/ds//O2//+Ofv//y6bvHqrrq+t275+++5runLj2PvjUL2OioUNXMz6pLqriUoYiOFRHIV37yBAWu3c99fd7Xl8Db27727bYCSuohaAUugIuWdItCCSkrki2qAbhUHdi1HcvFCGn3GavZ3VzgBVKoOnbUeydvRT80O/hAEEtYy9u6snm2TEpGgazovVxiXzsiGl0tXdCVTOeuUsfW6Gc0Blw4XQBIy69FqZ0GNzVHIlLVSEMTffQVEQj37mh0n9FmDJkEC5EWeNjWbXWu1liaaAfcmItGWubnIz02xtyRToNDI+1ZBJHywuLd2kLvcHSllVpd8dIvXWu9dG3ypV5e1M/az93X2pWqhHc0NK610MpLoWO11LVF9rBqKBuRlEXmZfJsWe7YtHDbjCf1i66vb+vS8dlV68EPez6EtvthXoEV+QKt3g/WjDSKLykh47n19dP1zUs+rmvE87ut3bhtILI79t4vWNV730aQCG8lUEq3sFfQJKEMPRLsGH9rhbixZrtpncyKhhCibqg2JpRUBxDcRaFaTSWwvWPWInYfcR0tinHooshdihAKF4ALuqmfdH3Fr95899PP/+gf/J0/+OoPL3/2+fsg9vKZ9H5KdXjRhP9jiEIsVQMh1mECvLUKQqPYcsDytNR+mo11QXd6NDTNgLnS4thXD4J8H3Qihgb13Do3lYxMcFGzpcO8yRG3cKptJP2nNHvV2E0Gi0bcHKsj0OSEqqPENdOvX6j9U75Cj/3Fl6/IQJe8eCYRRbgjAg+JbhFoKRlbDYrbMpuJFOsWc8xfOETuWGeiwShx2bgTaEt53R2BbZj/0A9TRpoVhhZo3GYWAgZGgnjy3w5JErs1uZYWNvldaPqrkUhny7nVRmT9hcXIijLU3rcAQd6IK9ZB8EvjZ7ZMhEhFH2VGT+Pt9swfvQZucits/Jmp3s66nCnPMjHqgzTDfbs7Kc2Lm3MmVTZndYiFMT6Y+Eswpm2+LSlbyUCpAyOsUwbh9ePug2ckBcSzeiCtdnLZD1/mZmDGH+PjT8BsNCAtS5EOTTEOkG5tzCpMAenlo0QX0j32DDY+CMETFA6qIU9unvsIzL5oxsjm/b45FYeTKeWuiYPtWhnsrFwSiGXE2/tXepg5jb3xDk/2+HXuPRKO0MnTvyniUTgEPf7lMcwcHPx860Yc/YfP4+9gPUOjdIc+irdxmYdQAWCIRrFQGfcm2ODZwBuMeWIHEYWZL86NZmF9H/uM83YmDE2Td+Y2yganoU3mmNlLLui+oXCS0xzHSo6AZGbewX4N4kazdHckBxjLX1bYiOp9cTZe46wpwGjQkq38wOeQ4T2/ljXexfegE7eDyEhtujH1V0eyWUTc95vRYQpiEeDYQE/nOr6dkce397CGUL6h/CenunAGD8J2B3OU7rG9FeJMRjz2fN8VBh/t2rcK52wraZBbE7O/u0ZfONdXWWPpzCUpmp0h4fB+bSh7ntWbOiDTO+NumTZ5QrMM7wH8QA/xzhVgwKLTIPsbbdzvo3smEicSarQnfgS8AWBWjtlRPR+yANPtnPLZGDuDB3Y/QwyvOOXUFD+JluelgwZNMg3L0F7CiBltPWxYrurGvo4HNFww/A3G8B88z1FDizsikDdG3nD7+Jfz7/6j3+H3vnn62ct14/rudn27v/nF+5cvNyviom3xAmjAo6RttECl7GCspUsKF8XCZSVis6gmS/uq2/t9e8f9vrXZxYvPVMkrkZbsmd0BkHi8RJc0u8JVYOtKZvngqql9j3Vm5JaaseomorkY5C6AeNEO8922lwAPztaMuFgIU2SsuANupOCE085CgcneArpMyGNRBDqUVvK0U1PM0HGoZeMV4jTqd8kmAazoMvYxbgcKQAl0bZ5520rboW8XQ2R5DrARJUEn2U4aCUa6aSNmSMXxaY7VwFVCTaxIeArngooNlrY6dVOL3vFbm/tFva/iA7ZuT72fej/37aX7RSiqgjchdGvaQUQUlM7WV9HAH7zHQcjqLIMajb7KLplLd7LZugVXYDGzlogVyHhcRG4sB5TqIR7rZau8Ekq3BXL3Uma21LxyPT48XIq4lJ5uIXCDimIS16rCDVG3XVuTzmqDDrXbUvZRkgDeBCDZF9Az7deHDRwOxqQzBbobZZTZBF1Mm5RRZQsgm0IwhVrePTEwC0ludiByyMiOnnxIrX1VPPClY90qnuvnP/3qt3//+V/5X/yNn/zRf85//hlfD0u9mtsTIxSVASELdyucppKO0VIn9tM3lRvwqYfuH47ARcQIuqd3sv8okD3KDVcTzubyaWSbY3JrgNitCENwByN2e1WDgg70Abf9mAQGTUdiaB2cFBtrplQIzCIzS4Axly2p2soYoNqJjOGmzaj1MMiTbdkRpwPYfn3TuvgWJ8eV6M9poG1zdun+ibOlJiRmq1NHXCNztc4HtK7DaesEAqvHYuJEDnb7jzQQIdbYXDCMDkmiDHPdnWxy9agJQXSfgxCY8iYTO5g55YU61xsOSTmLoAakIjuO8Y2TQOSharwGbhsmVdbo7FCdU6OMjPY9RtJAtJvsQeIxn+zhqAzBTLaeUeOxocTIAmZc0LhDOc8Ycb4r9z4+x17WcrYcAGQiAhpDOpwC1DHiY6TfnIkfAyfenonZayqR6WcrcHKz7a2BRzJNx2ZNma+PVjNSEqPPJjkdYdpdVuDNNPc+UhSEdFclnnLCNH3CaR+A8y+s1PA/aMjNRAuxjuLgtMuYY2j+xA1ONzhb1Lx74IQbzs3AruZs2vbnMNNyAH777eMGJlDTRm94n3w47XSkFn72D48mHuaq0ZxFSGzDrx6OQ12Y72EeOscDcJ5jv1+E0F42zFA300i1lRw0nCrrLX23jZJ2hEA9DTQORxDnafBECEZ353yvfrIjBnkO0usIr9NbKo/qI/xHxzs6gJf1v4fVdLvnDxr4kBlfHkKN1tsu1OanpphP/+dvg8xW28GXcksA+leFlxgIaVHQHW3RPIuDfVv+ZNlb+RkcLN9AvHhPL8qZ6TydYAaWUQ9hYgSECeaZmfrMuwLH2m0yxLGtEalZUM8zWipK55X6AmkE0FOke0PAYitJwkn8MdeEvzt4ZzMn6alnmNdMkHO1zvDr8cFQSsDpSjqz43nehNb96oX3z8yGjSaAtm96pDc+Zhq4hGPhuKN+ZHdzFOcDE0WPooVBlUf7OJ/zwdNxXLz+Tjy6mMQFcHKafBEbj+s73T5G8dk0mN3RD7e+Pq+nP/jXf/t3/6Xf+Or5T2/F63vtF3395fObL5+ujU7e7FjxeovmTYL3ZLipQceKuISyL5d1yZSQXtOJ3De+vCm9Yz1XX+viYGTLKBeiK4Nkv1LliqxYC5G1CyWWNhSFfBG7Q0D2Loa1v6hmBLbGweVyrF1aiLRsjldbQcRQp/KqrZsWo+JCgKGQvJ6zfJ95c4V0Q/mSo1JBlLeQjKk9KnqZ7BMUEYd64UyY02+PwpqHreEk9bYZQ0X7J3CmNl8PQxmhDS76yDBnojUTymUEDEAr8sM3TuNW0r1PdZlnKDEsmvs/bRtloKJ24QY0+hYqXXfVTu2FW92uenlffNa+CldA1I03lsR1xVJzeZjx54HEZaZSsbrNKYOgFBms7FRnoszxV3RshqqweVuqXXEpXeIanQ9Zq1FYj7ljr5TEzVqXped9e+QuPqAv/ViXHbVvL+qmHriSVKpuQrO0mxJvW2fxN5SBMkEjQrs7TyyIOP2jaAM4RDVYbK8YQoe3ATVSPdRlTzcmOsu4G0Su6brDrDMzsdsENNY0h3bSeg8KTAw2aridrmj0lfuh4vrV409+8vO/9bu/81f+/eef/G9/rBQvHn6RLUuZlHNsBJiqRRmqHW5y0Dqctmzu8oPZafjFEXkP9nSkb+ceRLA020IbSh+iMSWwgzm/rMmU1MX0wEqrT45kw0+JWwQBlAM2cHQQd/JqhLEGO2BV08xw0EmvMUsRk4RpWGVWjM2DfcDKMUghVEaLixPbMQIkNU9vNYAs2Jyzw2kYpyGz+c8Nr/rDAnjzfr78R8PRhjo1Di4JBErVYYv0WAhrsoUEBwlNFRjA4ACuA/sbmKDzgyYSuscr7L528pxwJgeLityk9BEFoZ2ShMIdAOOH8+IKGkJjTMy+cz004u4qp9CBHI/oaVICXqSjAR/nw8JhnowbwwtT1b0ixZqfMcAaOEHkPjVuPSw6Gl7bRw1OAKYilf7+VDGdnlsEGqqF4fEBbtUd/mNDg1VwduyxEQGP0GLnbBmZ9SeCPaDnoGDyrNAd4hboFWURJJjz3cidUEeOzNwe9DKrT01UIwBrugKArEI9eVwjWdB0Trh/stTSmeP9TXj1tAB0gTm+syMDimEz5iE6wG8bl23nLnrlDXgMOfSLaFk7apftSEkEG8AxPaonbqspRmsjb0gfKSs44ZqtvnOII03ps0w7nESFM5iOvs5HIsuKHZOKfsLp13cwMoyIZUDhuQ0HY+Ud/cD8/rg/ADHUy/1ptvYI3t1d7qwKtI8w5lMJaW7OmYBwD4+JGTuIExqcjmdx9EZD0d4xOPJEHBQR86kEuP2tt2IUc+b6rQdr0Eq+uFjSEmq0w1FHcZLpJ9jfFhGz/Jg6jG+TJx8Bs8RwQnAi1d1hAaOtB959TkoZthEAEztxvyOAjqFtPOkLQquM5vtfeYLZGbRsUIdwdkPm7yWAVk2qir/fWR/lKdV+KGvvZtTpdn/kItBz6TimoD64s9TDjWKKWBkiGY5tVDfRrOmm+z4v+1seetsBBr5lOKfWRzcCtkDOl8njdIaDYf0iLNh0758DDNdsJ3blcZLkqaAjrJwRypVJB/73vMMAEBmkeL08P9arSz0+375+/Vf19/7J71xe73dfXPcVL0/18nW9/+rp/bvdJZDZcfNcJlZLG2SENZaBfOwVeblErshLhObzhPLppfc3XW/6+iQ2MlJAYsXqS/Riv369Prrw1eXx03V7dbnEisXe2ChcG7fG89N+2fvdS7/seGreSs83BLgbssa9JqlHyJgcTGmpufLWrUqsBrDgWm1f0aNoxIRCYc+RnSEtIHVBmd0NqsyhgnU+YymKHaEzq98/cwSqOxgH+xgAz9oDIqACV8ArteyQQnQwMCMnDcaSEQszEAZiAwfKic1eSnoLdQBdykjnkYXZwZ5rroV0q+l7fV5cotWI7qqKvU0/FW9RL329obS0Y1+33uB6vfWt+4Xa6GIKdRNyJRCMS+AmpILkWrFipxCBy3jYyapVaPoaj5e1uR66W8yNaNRNDLFw2So1m3y5Srr1esjXtR5YFdzdiXoQEguBrFD1NfIhroiIW9/i4ULv9yrhwn5YU6xK2Fbx4RaIKiE6lROiAGi2UxnOABoXUkz2rRNqhKJQqFHVA912A1U7d0JTqicKwLc2RxDdgd4AIy0kDWoT6Drdrz2goWDCUDi7pdQukQjsyuvt+nDNx89/8e2v/uqXf/cf/5Xr//7Hf/zT/+/Dw2swuxUr0QbsNxHY7dCAtvC9Y8DdYQVobHniX47CeZA1L0hAdY6N/fAeYygYVT01G5Kdf4Z23EMYYYWigwCyA2QNCT/ohnBhO6WwdeJjBsKYq7O60gC5ozTbEA/QwqLKQr5p6kREoFpnJ0qMftel2B6FoFsvd7v20bijqVYiMFL2aH9IXv1VZAo9rQLO8kh35eeixmCGYmRaVjKLmDF5iW13dATU3mQ05lLrJeIEQjmEj3drL++7lUWyU3GaRRvRQGFFWH8z3LgHhzPgBSyRl+Ow73IOK3xdSiR3V9Ocow2MHOqhdPBahdhuyAfGOVAUpsD2lCInzRy9yRiBbbPoAKZ1nU/HYHRMilFkbHU6ZHX09QbhNPSUSVjS6ZsHCqexLY8CC38pIY1eSMXGbF+1DGC6vCEvmGzv2gxSai0d6LynkhPE8sMiYQRGYNdUW0uKRKDb9uFEKGXGhJ7AHN4W9kC0z6fDFU2xHKrJ2KcHwcMJGK+xemWqhzQWBXd1gzWueYGH5oHC+t951IYQmO7lvnIXM5T571otqLHGTHtsfqlaYjqpIshRoXvsPYBCd1nFpjFU9Ic++pCt1k1NPI1PxQfYVQc/xUAJLU0+8Lhzz9vF9LSaTwGabNQPhqS7AGQscJbpH+fwDOMaGOYYLGXnEACvJz0685PikmArYRZwmCoKzbg4eUAfbAmDHoPDB1p15I9sVB6aJsUMw8wn4Rh7HezZmC9m+WfEcstDhk298oVkFsCeRjK6lYxS28zSGmui3RpOeYKFlkY0Br/wPUUBSGCMACbBaJT7dJweRvzsj6DeFMFMYBoAZejAGf4hgLFofpBuXXx60og/G6WDHCyW8246eBT9DbOqIwv0qZjH2+4WGNaCAqqenL7Z/Dop0zNkaKgbd/bu6DTSwMR9SPaymXln90HUfx+j9rn3cwY/B6waSmZyhHDQDRnboiOnPRhUzHoX00YfeHqgO8bFNEAApNBUXlhZCHDR0h9XSL9yGE3r2LG/Xy/ZD9ff+Ye//lf/zqsvn76M9/H+6f313e3tdy/vvnuJRl14eylPbS30zWyHGpFAXloXXVauS1zYkTHFPkOKelcvX/R+v3lTFLJDicW6JF5lfvyqv/9q/eDT9b3H+PSjeHh8FcRDZrBxeSSxq0u4lV5e+u2b/vrN0zfv6pt3eovLVrzNvO0OlLATwYpKgKo9k320+kWCmHi8tXZXrL1l1GXvrUwc379ulRmzVwPby7h081ptVOlwWiXPhVNmY3ZrzJUn+Hak/4/uIrTTKgySHxBzoTpIb6A+940vUOSYN9QlB/J2TdWKEHRBTuiHv9UIMORZxHSDAaAIhnOVnW4Z7Bg7SapLrB3XW3N3oXWNfUO9lKi+8vpeeO7b+1u9sG9sBdC9ASnIpLJiQZeMj1dk1CP5Kl/ywlfRH1/W4yUeHiIXqCaq6qFKvevpJZ52vVx1637qaOWVsaHr9pOOTux909vCw62aqBXdu7UWqyMeWtQ1+PDwiO54kbKvlxA7esUitrWNXX1dD2v2enWTqzNvqoi0KZlFRai27y9TgI6AHqJuDFgpFZgmKqeWGNoky2v82g8daeIr3Pu1oVaRsXsu9glGHGuRjoo2BG4dCVdIXd3syJ0vWQ9X1rOuC3x//cmf/+lf/8PPfvef/Mof/af/Re+HR3y040W8JS72podUAz6FCx5i2glzVN5nOv0IBg0LlGYPnPlqKyJHOOlyKRFBGw/nChvWA+qYEjr75I6kyCjFmE/ayqBg3s8kPShPxtuIkECku1KHIwKVbq/cMyOIjkR3j32Rd/R5CpFhPOgoWjHzi2ZX1oE5E1LCX0gHo72f1vE/QFmEYrSXERNbb6+jTV7W9cizC3uSWkRSJdGhEEzphE2LBa8V7J7LQbU5hWew+NPkzUFz42DVDyf/YirFmW6mRT/XyUHvTa3H6S8Emka4C140787Qlk7H6cbSf8sziWlkkzAG4AmA3e1e1FvGITDuptL5St3YUji7gEcoNS9x9GT+J3fI1WzUnYqa/xNeoOJOO2Di1NxdzNrkOfduPYVyUm1Rgbw3lwN8ntdtlPYgh8a2wQw3DH5uNJCmIUxI7DJy3fPJjiDNpPzJHoy5M6eJw+T+0HmcH2TDnhr944bh8KcrOuhhesnhzfzKcdDDURhNYVgYzZBAlkyD3YfDwUK9Oc9vjdP8TwsV91HGPVlY6+Jpr5TTEfQYzMynzs+YwcpxS5KQQkVZJ+GQL6FIr/0K/2DR7EtCitBIyP0Dh5rzVzMBVjPIO4TUMD2ldULqh1cQBvoXJqejBxMlBRukrCe329zfVIxCNDPqGDsYY2eaHk3SxESCLK8DsnLE79vD2aRj+Yg7ejSsQBKVfb/2zlB/ejgOQ4d5vzyLSz4UjRD3iSQHguEb+UIwvD7DuhQqENQa2kMt6+EOOp2kWl0egGdEG+k6AqEoji0JNqs0Df1WNTxvc8aIpHo8Zr5eqSEaxcjDx1QfOPsuK5wqhHCRrBYZLbT5yBBubq/rLCU4pO9cMh5kJ8IOOfkWB6aZ62OWUoxS94wuQ2bOjXAoMxj9ub/EGC7W3hJzkM0MttO4PaXCqqCRADn+1UJXOF0J6FI7hJ5HCjPz/8FtTTMcMspzkYWxxGiyRtMz/6kH/XEEi08NId4Xcevchg048NJx8byiXv3yR7//b/7Wy+sv337x3b6t21M/vdlvvni5vkcj1Tcva7416cBbV7voWMhLXh764YERerUIsEr5EARe3vL9N4X3wA2qTuLhMR4Sr1MfP/KHn+BHn77+/if45BGfvI6gkDciMm+ZypUZ2b0R0R21qR89vHt6ePesn7+pn3+pL79++uk77Ny3jYpsCWp0sHNn+zsGuhewWbkVl33lI4VLqEOlG45fKRsKJ7OFsroQUkejREuHkYybCzwXMXEtEwvAMcqxUcyFdsa0jVdTDNJscneJi7yHxwAyOZfnvk80kEcLCmMsIjODxW5GYNROQa/qDe8w8RDSOX6CCd4wehUgUn3ydlvK1kujbt1qKXbjdg1e0bvr1tet/dR6F/tWtxt5q26iC91RXFQELuCrCx4veIx+/aBPPsnPHvOXPnv9+lV+9jE/+Xg9LpKblO3AuEkZt2u8PNe79/3uGe/e69319uYp3r7s55d+Jp9u9QzcFK3oRj1XdWrfLnutB+zU5TG0orZIbOohCVIs3KAVN2KV36EVE4jtXWzJVs0Oj6VGe2xj1bToaKmBw605J7htcyn7JIEu85AgIjl6gYRdVs7fd0Kt22VKimQq7L1vWtKaCAW7hmi0qIinQrA7OdWsveKPjFv3S7NuL4+X9e0v3n/z5z/4rX+Yv/zff/IX//f3n6yPm1nJW9ZlPzBL215SE6097ZcVCfD52Zw+lGOctegksI3ZYajUo/QXpofhIcPcVoqzR8gwmxtnuw9EhhHOyTTg6eGmHZ1q1wLonTCulikH8sMUqw1WtpJ1NGVTRpMaHEdlEYAzUczR0ITlSBw8DFBoJVHiaFPdPLgSFge9cxxOgeN/4Fk9Gw20kCKjOgga9uv2hhmyyYQVqQhG22Egt57LrKGmkfTYR4S01eFQGCNLo3wIiw2MBY7nFTidcg+bE5xm0Pmo0ZO66nkF00tMUWtGtAdA8hANvj9GJdt37ZepaH9lEX2v1NRYZ6Zz74GMPemfVkez/TcwqXQet8Lp5eeXA85XnwlRo2Jxj+flEkeLB2YaUszB5SkFk2q1OtzjCl4ZLjlg5rhPCHP1aAuej9HWLO10++zTfpMGWub/BUAVAJr4JYVWNxOusO0vZvZB+rzZdmlpZAYGJa1Z6jpI+WjDca/tPGq9OQZBsCOza2gVTK9ibVxzbOaOnIDcwMoL4MxzTNvn9UI+1TH/qseVD6gi1qCYg3z2B+x8EEy5yYnpWUYVX+g58a5ZOs73vrsGBPSiqp0KjwC2mxbUQL/er2pwtwuMoIHZUyz14TW5Pxu+sfyqeSB2uGSzDpHOgXKnDTISO7D3jDsZvCtF2BZiACir/ofIR/e4nj0mh2u/2yF0lY9C0MElOU2mpQW+cRqQeilGB8Wp0wSJZSLtTHLzZjxhAUo3hhmm2zwVpqKNt3aJsRRNJJrMGGmwKUT02b8peB88R0/Xx6g62hcMcD6WnA6vT9T0wk343CQiRivqkXHGZ0Pvqo5F3rO+XO1CyR6oaAQ+9C2EuTIxBgQD5B1gWQA6Mkqyz5QM//ExLQMm4qH7i5/7aqB3+91hBc3hcqFoKQ3S4a59MiJSjDAwiCGJLHXWNOkez32qhvPEbKX5QN/4oZ45RY6wPs4AQvZEzKBiytm4XA8yNARAN45cuc/+Mw37jg/vf/7/GM/LCKQi7mzfmQeaFbVfXuL97/7hD//K7/3K17c/f3q5vryt999d3371/v3792pdu9WgtJN9sydnhuG8cC28egQf8/Kgx3ggGigms/Pler1+zX5T+6pQJ/TwKgO3z17Vr39v/fL3Lj/+pcfPXvHVK6yIFZstPcSrh3VZDDaTZEAPalbvXehdH33E73f88IeX3/gxvvrFy8c/0xdfvnz7fHnRujZvsYNu2gkUeolSKdJRHrEvt4dsBTrYoWQVGGvxEHHWmknswux4ge84gUoU4HCC+cBlTMB7Z9pD9ebB7DjSt+xs1tgeIzGsqIlwWhsGqTOBopSROEl7Ar1meb6zaVU2+WAW9Gzy7rGwDeAEInqIUUCKshGfCIfBgLetfa1Wq0LduAFbt914xr5yv8d+ryrppXuT6CiHCkQuXaIu+fDpen59WT/4KD99VR9/vL73Sfzg+/n9X3r8+PV6jM3YoWsmciUyVlwo1k3Xbt0u+4r3b/X2fb9/j+cbv33L797VF2/qi3d6u+NF8bJ7K28Qt2qzb4WPsB7XNcQnPbz2PumdHz9wlVu97i0ktcDNyBKi4+VavHR0MBZV5vxIYrYUhMOIe9TLoW7HXucCilq5qzjnwks1ka32mk9ziUGUHzm33K1gTFZVMRhjQVRkELo54zOAKtOvIwFiyXYJjjqqV1aVYwOTeX1Rvr68XGsxvvjpvvztn/zBP/4bX//X/+zp2ys/WoXdCKi7vWMioGJSWxp+1tAuzz3vqfA4IoCQk1uhuTXR6OV6fbgDTZNje7v7rY6ZVyVfUQId1OV/GJDXD8VxA6ZaWsQpwsCAKmpU5j01xPFcRIPjsDltz5xt0bPC0a3MCh4AXpN13gk16SgVbI9x1tYQk6s/z+OAdTPzhKd40P56TAlUuJs+AhywnfcGUNWwGAOymME4rSivlHA/NLFPMYUlvdKkR9Nkm1AfMMrkoBGdo0oAMM4GVAl5LNciQjHCJIil+U/BD/i0p9sZis4lRp00bg8a4bnloKI+AwMin4wJQdHlxVujjJwqNpkUMd/TiDXCcfkwhjJ3NYf3PADXXxoMaScKLX2fWtY5X/Jo3ASGoxlc/jy/znd8EOzJQtIk3Xj68nF2z+xvMzyXSGBV532unUlYI2hxWtSghvNkAKGRIY1a+/7OfNpw2g7gzvj6w3WWyLSfLg8hzBI3D6tq4QDiQzaNCt9+dA6zoyhrF7BwMg9H20Cfcp2Bd4oYOCu+51MOy9SNNbkqHpXb9Cw5ubKeiCbZC8dVMbUNEWN1oRKgGG1KLaobXjw5WZ8mDiGJid7em+qSN4SHYfvqAQ788d6xcgI8p9/7e6gYjo9HTyLmOHjm6N9RuHO+Y/BvCzE4Mgqdv8Eyqw4RtIIXQIq3dq6INOuW/HqkcMjuhMuATEXptMhzamDXj0FlT+bmNSyU8806TacmknQMz0x2qSOim4hcJkhwIUstxoXlXopgUfNuRqtg4KZOFur0DUKFTo0YeUFJascIcW686SfmFuhqq038OkcjTfTRCPrlQxA277FYZjcOAwmxq8SIWGNddQh1BmsnAugtGl3QaOxhPdhBSHzJoJOzrYWmBQbQAOBzPcgSKMk43jTYnhLvbmDeKxAS8i6Z+QwBhOKES6hbjGQLkQYQ55E/I6mVkRGQ/Hvgyjbf2UzZQ9qM4A7gCbk0yTFmAe+DlikyE63mWGKqotGTuF+SVoVhohOYIfXCw66XV5/sf/Xf+luXj/Hy3ctt15u3L2+/2t+9fXq+buAC1c0BOle1wDI+rVyM1ZfHvLwiHxVx8XikPTsB3n/z9PL2QbsSCPLysF4lvvc6/tqPP/vxD/Gjj+PTh/roAZUCCmt99PB4+UivVq4VCTgKbzFKvZW9u277+lwv19vrV/jsFX/1s/XxZ5/+6aeP/8Pn+2ffCcEJf42Qx3STq4A6KsAulK67VihDjGxkAdANW53lYAkCZXbDaGlXrJjuYdI0NpMUu2y789I9EZseEGdsN5R0FAMBeR1ouzcfwGvS5lIZDAdyjbRw6tdh9jUNZsy2X9/U1kJDOHe6GwKm0GVGAQIj5woB1ItS76t6h3aIrF0tXG+NZ1zfv9Q19Jy3564r67qrkVsMhCIRGXzgfvX4+PjJq197ePjB68uPvx+/9Gl++hk/+V588hqXV2DcPn58+OSTjz756PHjTz56/clnD+sVbmw8vdT16fr09Oblzddvnr/rb75+eXq7np73r3x6efP80Y/exJ9+8/wn31Y8d1a87duDtMnuYPcNbXdmg5kBkti3p1Yj1oMCfQtesLuUIirgjYYK70uOaiyhL4hbNApKYROUtlvWmmuqUSHcXL8LjT2PzjESeL2imgtdk5MHuelAyzsj5dmsq4MZQuUtxL11fx5z0DkTFqPnnZVblp93N1K350u+krpKemExWo/vv33+6fPPf/v3/pU/+xdf/vj/9uXDBh4u6S8920qkiOzavmYt5jDpDgz1r0iWMPvWhzQcDMi5KAOp+gdM6RtBQ8NZ4eYiRTiKGAcwaU64WbSxWLXa+ytcNoBupCftycRoTB+WcJA+auQrosV2Gh5XhbvMX+fmjGbHBDvMPV9ob4DiaGcnOYiDulqPY7bdca6uKeddj8DY4Le1W1YAjehPIFRnL9RdEwU0iJLWSALQjeUwWMPdbitH7uMeJqBy8yiVbdT+OuwnGajSqoD2X7E3bQ1bHAd06rEakuKguGcOmNZ8UnosD2yAgVAKpQ+AreAcTFc7t78uoRj1QDhszBIIRbe8UXnahzHmjglz3jFpttN1c9B2DI41uNbZDeTGLFji3dFxWqAWIiYoExCWDi8FwXunhAmOIiU5GL2swHdwDbyU0C0Zew4bRtwT0En3k69A5zTR2EpKK9r7K+abspTkLvGFU1l5wLrT6mPkYxOEjDRz34HZJy0NzBSz/8BMjFvaACICXTMYpe25Ot03YLp3HVR8lAROgD86fcKOemOTcTp4So1bROAo7HH3dZwxbgI3YggXcDyl2WO60Cgz/HpiroR50HUyi/2CWwiE7N0BdPXO5Cgw0lBqTO4y58Ys2PYKwCSVSy5bFmryOPIG02UTDOPhQ2k5Asat6VRGuBp7Lur2li1PJfPD7JKwY5y3sImgMem3aSLeWAvM5nkbhGLuC1HTrZt6mCnNnwxiVqWFNM5UoL3ezpg4WuEBbroLUTE4R3qVFbqT6JutAJSUOB2977Em44QUEE5GBmffRtv8dTY5tuOffOV4T0z4fIfYOekW8FpgTUPvdvScfN3pm0mfGoMA7vyloSUNY2wYEzNbJargjWeeUndws3uHgQcCrUraXYMMG1FsLDPkcPd2zKNjrmOChJy7PEzmiUkwGN9HJugI5aO3MQoUZ3ZXDyFlPkw9ElO/YRUnitePhI+LDgYffdi+eWTmkXAj2u0n2TlUZkcQNfpON7eM6nuK3VRlJDiIxnSdZ62oLphSjSh0Xr785W8f/+lv/tuvfuMffu/l+mV+vepbvH93ffd+v3zLfcvC3tp9PqGuUGwRjGDoo8t6fMXLCnzcDxtSB3B5BPbju893//nj6pdWRvCC/n6+/Nb3L7/9a+sHP7g9vspXqy/JznqVev3x+ujTy3qIy4UXAVyXjzIzGX2iPZ7Q6o3rO7291tt3t/2+dcMnj9/+1i/pl3+A//KP3v/km3xzRfJhX3tdbLEOCBuZElS7M64UA5lq9r5dLmPLtayNPElSEdqoQMICcShTaiZREjOa3cqZ3m3ZBBgFEfPPY+CJOE3dZAGcLToaAHZ0iS6RwQWAVMV9kk72ZuSQN4AgdiJEREPounDwZMyvcrMwvIXmH1G21PfOG6LU7R23Td4uuKrev9zeaT+n9mW/oCp2XVnGzhG1Enqtl48v+ujT/Svfe/3jT/GjH/BH34/PPn369Ifr9Uf5+pOPP/voo9evPvvks4dPX/3Sq8fvX+KjR2QhiP1y3eTT99i79u3Hz08vL9d3z2/evv36y6/fvX3z1ddP+cXT6wd8+ip+8PDy068v36l+9pLdeilk3K4bN0laceXlk81+4E1xCb4GkLs6H6Ki8xa9go260kKlGwpVGRHl4OfoFjayW+RNsQU7oV0S5d2yNgqOgXECJgXn/7rF6RF7k6tCkrqbQVUgC2P4KzHCPnJkojYUgY3RLqfU4dQWDL6sQDpbiEBnXKWP8LqEYEb3bfN1X3brXb3XX/TDr8ff/Hd+7X/8//xRfffpxy+XZvdjz5VGnXU/zYu07wqHNL5xqNaplo4NkuSsK6/EMEAJs6ImoBVybMlYXw7l2OK034YDSbCpJVktLFIMdOnCcNfOyDAM56B5hwt6L57CW7njg/4IAJQaKnUILyUwafFS0Rc9oUrDbBwBznShaUsx3byYzXNXJBxsGx5E/PFICgaEQo3flelFXjEPlnVLqd4IGj7WibsO/ynHPCgHFXCbPhoa93iSUJC70bnzjbWcJTFGs13+aY4PBNofGOX4kNEcEAX6DEWylTk8v0bbG2NilNF8SSzZImxuYxADcpYQIRodrY6TD2pkwqXX1neGfQYayNSdHWJGRuADo3oXKE5KSg+IZSHI0EeT2lMTh0E1FTwYi/UQJ1BHAiJx0jZOW0GIxWZytfZAeqeGu5tzl+A5gvd2hcPIm5JnYGK5RrMRCKJYB+2HlPdvcKaztqs77hNl4D5ZeuTR7LQ/WDerTdFkwjpAtNv7WR7iwU5gy2xkYETPHAmhgWgEuEZaMuGRR5PA+SaE4VGMBXR3JENR0d5ONEDocIejfuGd1Rubgp8J0yZBtQOmTvdljfz5FeT4P9ygeCz22g2d9zWTdBOeKTFM0KTwmF9zs+ZH1XTeiRUyHxPp+NKFidSJQWhNxB51u1pI0ySEY8AAzV5IoXufDtXO1xmmQYhpyGJnp/kFKJQiVJLjRgTlCXgaUd9hoXyOUlO1/a2aG3DP40G9pzV1rZ7NYUZahVQXERFJYb4ZMj2X+0aETBUMq2n0bGbVwbR01iLPdUQcmbhxaw89c833MTUOkj2sk/FoS8PUAnO67CbyvjWdqqYTJO4M1EQcOiOl/U03FzCxsPKqDmwGV0se6ztV28EvGDsQi5YceiLFgB84TKWmnR/GgsenNPZNIELVFsb5jw/PKvtc/AQ1bAjvw8fOfj15DazN1Yf+87E9Fl4OM3gcH6Zqq++Dtm/vgfLPiG76IAb4Kpt+e0Rd8LnyHwC8Q0wpa9jMEHTIcfmKe7wrQzsujI6n/F7+6//e33v1GX72Pz29f+mn91d9t5+/fn+7FjB28IZzvdt2Vywl+LC4/n9U/VmTZGlyHQieo9+9ZubuseVemSgsBECAIJvEsDc2pWd6ul/mb88TZd5GekakH6dFyAZQQC25RUa4m91P9czD0c8CXQJAUJkR7mb3fovq2XTjadv2E/1VCJ4ZWdvHHz++/+GaIMfYGHvVl4/8oy8uf/zV49fvxnnP/YJRtQ+8eX15etr2p/18jn0n47QR+2nfLvu2YRvbabtsl20Uz9tAxaH8+PLyu999/+Nvf3r/w7Mea1zGX5+2GK/2v//5P//2+OUq1gAqJWThhIHK0pYiUZXIkbfp4LGcChw5TNgIPvOyxEhUKCaSanhBCpYwgEL5RvJhan0fAQQxhzkBU0stgLUBymdMm8nUanHd8wIHxzaGUGrKXyltoxtyVXm+EFdGc8ml+draIHiXGHd0YvjUdG7vtikRrMxK6ZipDBVxzeuc+TFuz8gX1VH5ctxuNyVUwDxtumLDmXp73t+9Pr97vX3z1f7Z0+nd69MX767v3jx89fkX777YHp5eXU5v3rx5feLDNi7SCQKL17oVIiJFgluJxBYaby6vant5fPX0xeevPv74/PNX77///P0//N0v+6ZLvH7YTv84PoyP2+9+eRFOqoexXa/QmMjMY48IDdVQYLfZdmLbvN2QmQcxKmIg0jEkAhMZi82O4GT4pVZ6mrW5tyIDg1k9Ch7RaIGLsAIKqTIEp2CASGAJDrOKhURxMk4crTjqa3MABRY2uzmsPp8RUEaoOUZLlHoQUwHIgjCDW4HQkbfn69hPo8766emnx++/+9uvvvnXr/6P//ThCV8XNPM9eXbvl0zYbDzHiKzi2Jge8donTSN0ovN7TFo1AcylEkCjTT7tZckAAOvI4eoeVFjmysZ1G+Sydgi2QdjYZbAxKGBL5t0ka10GFJ0yUJbeGBZuB4EMFXrgj5ycaD4bWp8m+4R1e90cbrSKgU7hFUTfy7YPALPnixkMbBkQu6A3MFNYyfAEK7SR0wCtehSM2Q4Xtq6YtU58i3H8VYJQ0ZB/Be03GRgFwQrElR/eZyuM4fojbnasNOOuiIBdEHQt6ZbG0jayYkRBdin1Y3Q9oA7rsYWpK1d/ye63JMPNa2jhACYRgSGWWVPf0Fpoue7CmPAF5dsy3E10VxBGqhooW4uMGgzNJQdplkQ1LBdovVO08MX5Kw569/7qYoqQR/92m8nAGnrgWtUcXLP8n27xfjdYWie0ACM0ssXj3ZJBltotFUNIs6tthooW+ddAmFT0KpMJaoOPcmHnUBD7NBn5yVQmSBpWctjeicZSuypwRdGNl7ELgqQN+irUhlbrdeHvHiN6IFWbSnslGslV1Yqrbrd/74IuRMvYczCVG2J2g9F6Y9+LSmj4dHEZSrrTcaqMuwpAtYrBLvUtjhLsvDDIWW7ZxUXMiI6j9NsRcNcvGuL2swmfDAuhFm3tilEwG1t9pKkPhMb9uerx/n82F5iwkiAktcDDVbpUHMMuI5QdNLqjLyiOLUq5EWK0FqsVimpaUK7bBZKB4QGUHF3PLqKN9+RqdK3odBANquT5pOvsi1WX0Gev/QMlbM0SNf3TmFOrH33G92nuayoCs+BBTBI8x7jxb9tR1+7lsjs3WdB9dd8xKGmgp1S14knZup9POHdrCtHzj7z5zRiOGLmqpEwJGA1yBVyKrRmGDZS48yKzjS5o67K6VfGNtW4IOe/ZKrhaHYehHT+VNrf1Jd9fXf3IDJ+pGR/ifq0i1CHFxlnUzy88I9AiKi61j69ILJ7Na5b+rvDsjGCsFF51j4Om5C1ecsgb4j5WrIdLtsWwFCPsjRxb1OTkL3/8b77+q//6z/7wy28+zo+3Z13f68P7Y37MmsqSmyyWxYhSJbCNoQ06neN8GdswFhiDtW3adHr+/vj5N9f6Jfd4rfxwIb5+rT/7mv/iq/3zt3XauO2Y2+3xdHlz2d+82reniA2X/XQ5bXEZ5/MGbPvDObZ9Hw8Pp4exnTZdFDFS47x9Jn79zfXnH377d3/3n3/8/u/xQdTx13/Kh/Pjqa7/++/0PYkcQ8oRFBLYmVXSrJrRgfiOLgzadYNIMczLTOsgC1Jy63uQ7pXpHlFdEi2CKyu7rWvgzpTsYJTToNmq85bF0n217JrqVpDqeXAYZalhKCwIVibGgLKkjRuoUJEbXdtLRGJzNgpsKA5qg8e8bhvo4EuVDk+qL1UKKR56uep4wfHBgT+sQl5R1y2YUGyJfeyXOL76nL96G+/e7F++3T9/o6eH5y/e4bs/4a8++/z1w+vz0+vT/nofbyJOeRPiYGUSOZNKu6UBzKoRg4NRZxJBnLctdIo32J709t3DuzePf/eb3//we5z254c4nt5fzuBvn/XznB9nBLJqKvZ5PSTuJ5w857o0HiIPDnL6Kk0xImd12gYwZ8bGYRQREmPznRXawBdHG3mUMgFUAbN02liqapkJKsDEEG9hKwztzejLZNjtoVUvZhY87cS9NFoHMeounnESJdZdVH0o+X4Zy/V0QGScBZaOqTGOceW+n7ef3v3w6ndv/8X+t//Ld//w//0v1+seccWuKgUETw5SbFqHA4eUjFErZC0aOAYXEI0VBXMXAPhm9AHv6966VvUx570gWUhjC9sQ0unR1qkZzA7aa08Bnr5QAQ8mSaN3gq2SFWY4W00nA8flm53h/dm3vSM9AC7yte3EkLoKtlJhWQklOHWU1h24nmnoV1HUVspiA4POoZTFlktdYIKWgw5prb4MfJFbYdMFSVPHAajCeREBlpSBzXlTAFCl8jWVfcXn8j2jGyx/d0KSfOv5RukiLdrK7fB5sFOrK+Aj3D4lgcPILVmpYnAAZa1NqSMs0NKVWpWXr7wByoPrPaHGXIrjXeWZiLhrP/xju0U0asryK2tFiu9YrP/0NkjX6/2Z/IVUHYpEQZ4+gYiCJVt2NaMb1u4hm9UpN/MBDgOi60Ub7nGnUytTpZHO7nThI7ngq1kMCcM5WKrW1JTT0YOsgR6TGdWt0aQsQymmfS+OR5UtGSvpvW2BQqsI7p2CFTcbqO5LF2pqbWEtcVHXAI3xt7VBsS2eo4XLXYSCS+jixsDFZXZ2lzXPWNppLRdBVzxUUPJNaGFfH4RSecSV67DROUmlAlfDrQSYCUQF4CFztTCWds8PC4woKcjZwwHboG60ubB6apc/KyGx+1r/Ooy13+lizJ1oeaOQDi/iJ04FS7mEu+avk13RMQpU1bhPP/EIwIWVZ2v311hhZ3Oght9I01XhF+ZJg14HHM38Uj3zx71U2EkKlrTBToIu/0FPAG3VnIFyCz4yMjRSaZbKQV5NwPlP5nrtgJN+q4OqajUD4WsLxUKO9mKxO9ewbcDqEsSAi1vY36XlVVj9hRcylE46jJUWNsbKcUAjppb62dBiPgzy5UBYWAOgag/O4iTAilzT38SCdkm9XVt2uU4Q93nWXCfrrm67J38ubN9p0eoyvfvLWEJYt7ALJnOP66uSUi110MAQ74AB7/DhajmhTnYTYdhmFZndFqqNPd0w1d0q3uc7QpieLdjClf7z0fe2dzzFjtYNDZDC5gpkkNhZpfnhs4//9//x37/7bPzmH/9w3OL5Yzy/z+cfj+uLUlOKyEpjnpQyYiAiiLqceDpx2wf3EhXM2BHcrj/enn/7zJ/jjDGgMerrN+Mvvz7/ydf84vUp9rlFPpy0PT48PZ3O57hciE3bw3Y5n18/vuKu/XQ5j4dtO3Hs530TNyCQjMzJuh3i5L7tX3zx3ZtXb//xN6f/3//+95hzjOP4sv72eJz1fPz++qEIZ2QqtoPaUdiiVElwcJQSuYOqaM3W8GVJsSd17ojakqVW+KlXLD2DFpK3s7WFi2Lt4SwlDQY67Zmt3fFi9DBsqysaTnV+5+KILcJtF5S3gWOHugIzi2Xnfwe9YWyVFc54uUcBD45SsGLjliRiZs3UkQWkDlTpeM7jBcdLzGset0NH4Bi6zjzEGDvrfLp9duGXXz98+3Z8/og3r/n6dX7xSl9+efr2y3dffPvl48Obh+3hPB6TqpxzFiuoyXLUZrl4stRWngQQQnmuzcOQxlnax377cOWP+OpxnD5/83T7/fnj5eHl8Yf9NMb+U+l9RW233J5LouoYGTViny67Nm17jG1sKgF5SBEgEaVU7oQqqU2Bmghuu62fKvKsLUfFVMF+R+/slKjQIWwMkDc0rxQEkhtHVb9ARkhpE19RikJGcNjO6RRXn6fbMgFizMgAmYOcPlMrRQkxhEyMTYUcIGpoSBFHHltTQcfgfsyX5+sRrz48v//+wz/8yf/lL//0373/u//XT0+XV4pRgUhmgRiGwQAhRnl+k2srw1E+Gg3o9BHDlqi6VrKSooykN/FOQmg8fVXX/mn++4C5MhkZ2oBj6ak/3dvgcnK61Ijuk7gKdaNwtbIcDLRk1yz9KYxSeon5igwgS85OFg3fB1eBp05+UbMSVAv1DKqBgPneLj1psW6jtAktxYCvpXJEfXfvCHsMKc0uzWq0xHOV8MZrXZH4OG8gui+JqFGju5URjsfpD+osPwOlncE5+qrot7R8QOHSLYS++bvOcJ6JvaTw95WYgcb3/S2x5MG+8owFq7s8tMDDYVCN+TdE1X9BRDCyatwFJJDbxn5nNkp6spNQHj3EprzXLJauRpf6uV9uuO5v1RAw7p/MImSQo+8/063eo+TyLLBNsIvguYuB2OFWbmrWDW8YzSHjjobxEWy9brm7V7fQDUGzc1bCGdPGBK04cBFH3BP/+qmVwVxwiIrK5Ko5ZEats2K9D9eX6sElUEepiAtFN7VgzBd3wgddLvR+DhvbRKKoKLiT5PDPtAXNgEiL4brhRrelWIoLtArC0is6T7bFENGxpYbwoyrhKox0eIBhEIzRaGx0uy9UKGy7XV5JGSFvNLNbbBuyzRz64FDdVRXAACraxufXFkHUOlhkHqosF7kTRCaHPBgGLvC6EYzIMnyBgUxxkJNAYbN/cP1uW6IYXBg/lqiSsFDQ68T9f9AFOYAKKMXh9HYnTJStoHC9sLR6Urr7hVrr4zmyAYmJapmSq1q3/mG+qKLl9liasn7j/2wigpcLOo3V5JqJsjVHUGm+s98yg/dQ0z5EBisLToy1UMthyzWJfaXyDPRSD2L0jUBWRiAtvsDEUMxuCxWeww3fvGCbrnwmGKqNlDqq7A7WonHzNo11QGPfIb5UEiLdOa2Ou3pv9fnWgV+wmoBc0T+IUlrxyYVaiXZNlYfMspdVpwQ3aYe2DJG65/m0n52tUUOTyvd7q+PeFkPnj1lk73x0soaIyOZ4yzkTAYyxMbOe8/Rvr//V/+0v5/HCW8zrvL0fH368vbwcmYwKIadc0XhUOcUkxzm22LmfGaOGVFU4E+dz/lQf/unl9of5kJcRydK3b+aff/30p380vngKxRGjHh/2p6eH08M4P/C0bTjNp/388Hg+XR4eT486bectRjzEOBFRtVnxV3UFBe5ROYNQRnE8vPruj/9qYvv7v/+7H3/EG+UXs/4GkcB/+ad6fwM4AjkRSKtEUlNi1OScdZpEqCJGjQTH8Cav4BCHZpkdb3eJVN0qtHXQCpDOj3FEwhgjZjn6LaoSzjGi4cqesRHRyjran2PJzzBzPhiTGpEouqCHhSGsTvyv7ttpkWEVGWJnzFmDFGOPrsYmOCKiOkquxKzS1Dw4S9eXrAP1gtuHzGdpciaUc588kYM6x/z8Ur/+7tU3n2/vLvX2tb58s735DN9+/e6br7549/rN/vB6x4Y8zaqMGngZ2MXIPDZCSu19+0nBeeynjaZWLJyGwF06Ck/n/ZHjEqdf9vP5fP5hjHp4uL57Gq8eHvZ/nBX1mx/yZ4yTNGPcdPCWExtEgdpA1qi6jblt+4aRheM2A4CTjzcNj5eHAti2EaWAGMKITB48arC11kg5hB8KbBMlq999OFYoIJerRrVUhmrLuhMOhrJmHwIaDV24DBIAbRVZBmQoKjewBqt8Y40YWVJoFBFDlDCJ0KwJbGPUgTmAPY9frnp7+u0Pz19/HX/9P//6N//b/3r9kCeeNJgClCNYFKOqbP9tlUIRPc9axbpTiQCkgGaHxnWiWhNgWjxz16B9oEqNqaDL4RU+uZJDPM7S9S/dniqKneTsXUYMTyZX65V9USiLBW2hFF2qLh1SQeqs0C7HMXsOQZM+K+INSmh0j7+IdBBUlR+ED/igweBVUvsyBXyEAx4VUGrVZWNbfbe3hGTBlbBbX5g9e6xvUqtBLVcgloUa4gq/o4HRcIp4o0RoXBV9JdFzw8jWS+FuXdBdvdD3He4Nh4npFgCxJdz+96ANL2sYjsErye6mAXjmQr/1tpNbNu9WjZBzN7P/BGosJStaV8WmWNBYveWv69d1/U4Dob7T6DKiIACDjoZ1I0U19Itlye4L00h0F8c9yGj4aZCqzlVaUTL9gNDqLfRV6r1dxi+7sWQvEpvwBDDVeQxYbi4j1z4kPPe3t5wvbSwU0m/I0+askAkDtmYPs7eCBTuG9Pjpo7jUKVaUR9Ob6W/CxE0WEhna/J1sxl9Fp9VABqywDBEWnEj2OXs1F9Sjqt0WulGlFtXlOqQN6q7APdtpKY46L72abwGghWuiUE3T2DgUn8ruDl5xhm67dRbZDjSnmKaVHBDvtrOEthFz2LXhQwhStGsd7WtRN1KEjER5ofph4JPEu1vPrlPdEDD72RkGIaCyXk+1jvhCjpXs4IogQqwFifdJu+KnGMYYbBx0P+bRF7Ki0Nu7VzGci9AFpBeK69Du0H2oFrEtiR9hGB7dFGdLWwpNjVplLMoJrYurY6RaMw70fOqwxTdb3dkxFlqjbEF2y2th5WJhuuXsswXSGiTuMhiSseVFITS4UOJQ1YKZBjxJIkYAqklxRBqD7hg6rqebELcegBR22jTCAJU74taUNmfpFzqwxqE0ueYz0W/cdoh+0t0S9A0Z5bjuPk8Myi+iqte9DRSkpXAwBlGA5Bjy9QMp+gJVWxUIreMXljh6IxBr30iIGO58fXzQEwCWIwrcqhRDgBS6Xmvg9b/8nz5+/Uevvv/5H+azjl/w8f3H+f5ZU0gkcCShDdNIKCFxbHto37lfuI/aIyq07WM/Dzzr53+6ffynGYjgywXz9dPrv/7V+PbXpy+eNDQVujxtD0/76Wk7R51PPJ102h4fni6nh8fLfhn7qUhxJ+80U2EMIsOTnEqFgZo1oMmc1+388N0f/9nBmfmfqf06j7qd8k+2ms//5ft6Lq8zd4YM4jiYUA3EhA7UHizq4Dj7oFMBg07FNS6TTdyY+OiBJ2rKxmYwFYcb/UpgdHFkrLMW9tdgAgJSeBY3wRCiNwoWytcWvFpxKu7KAVGexVnBsFdk8+skIzgYAMY2xsaB1uCeAIxBVARqglN10zyUqeNQXTFfdP1Fx/OMY0gct5wTidqoE/Xuqf7o68uv3sWXj3j3il9/ffn264fPv376/LN3T6en09hRW3DjCEVtpKCaL45mmeJOK6uiNANAbFVTdeokVXFKZXNejEGckqf98Xq+xDhx+/F0Ph62Y5z3GGy33ftCojJPqYNbZm6GnrbyFZaH+3sWs6BxGBDKkazdgd1+ndjP25hp0XpdcmLoVlTM/BRwAqEwXXAW2hpr+W4p6alL8mHll+aj0WvJEKjgBKcS4REA3q0OC2zJUaimgUiJrCwbxtBlusOiJsY2bjYa2jt4Oz7uP7765VVt/OHpD3/y37799r87/d3/88Pj/OrG9+RtH6MxS1UMy2pyMbTs/ov0MGmU4SDL5uFjAsBQY3rW6IApBhr8B0RahbUKWTU+56OuVBwIz0e4ozCy+TaGr5etyeFsynIVTB1NQ8ixPa0Sjur8ewAZDKdhKzDAzegJVU5TCYF976jNOh3z1yrT6DvY4r312rv4auW2PQBqHt/nc0mx2azMdSBQ6wE4hrtIyuGhoKXW4RgxCLzbJ6wU6Kq6BAPuDpGRKyExOYYVEyYpjUuNcM0+pGrEHHDGdXFNSHAFIz992xgKKwTD+BObmCYWjo3lpx5She6FVt9spFB5Hz5iN3ER7KE0DWdxzb1i/x8BSxEgT1RDB5uwY2b6OkUHbQpgDGn2jd3FUwdW3ccMeFcR2hQKBsq1E+Bhpc3trD88TICk2qVQdjSjBeONbA92Sox1Ab72jYyX2rU9CDC7Y4GrJTdF/uLuDQMNuveWQKs2FELK9X/a9K31DgC63i/Kc6Vba0NlwtiyKxiycwDvxUeQgQ3Y1IqW9YLXK4KgLA667edi8tzaGDhkl8thiINwjdmR9u6ADSjCt5yBaUMnrRzqc4E+8/wZuuUX+ip1OYSWMmDAPQWioPo0tM1SWsZGrLmuhsRItGtKMem+oB++tSREtLg6wQE438wFFheFc3cF9fiusDyn940F62sfhaxXb4K0evKSWRE3ZpaOaXNx3zXcehuONBK7yQ27wWilB/rbrFXrgWTtJ+qcFxXAYdEggXadN49FFqYHmbBNbVRFG0XkiTX2HxrzBjoslq0OdMNArM7M9Um1D6UgrtEIHGXRJIUaHA5pGwAgJ+8JQicjdhxTDxkx+HQ/oBweZgcWKU+LzBlAtnyfoIrJtCyqMNiRlHDaKhEBLzWU33naDqV7krrvWLXcjgpEhgPHLLB0Ipmh+BhIh6wVmqjxka1uDXouS7f5fShLDiPyF7GpwKdahy/r/9QF+rDiYl2Azn7yzevdMfw8rV9rzLiDwey9cN9TdqY2AZUd2xRgzfBU0NhE7iHgVvn5Z5//7X9MPL7/6bfH7efx8vP88PPxfKtZVZUJqahKCTbHM4DQNng+87xvcQqNCuhh51Xx/Lvby/fXbcYgL+fb53v++denP/suHh+qNHge5we8frrsl/EQ2M7x8Hi+PFwu2+Wyb2M/b9s+YnO1qEhpto8rbkdhxBbFwhyjfDJhj0hlcmyP337zq+PDC87vv9R4eXn5bm7Pf3R5uX34x/fHwXNRrBoaDnutzHFsCNQQJmKriXIuKBljNNudQCj71UZDbJSdrMUaNqxUb7gcCGoMKipWIqfkoV7h8r/AQJVGU+cFprTZ6NYtfpIhnzKr8JKilBEbHIegEJGYVhCPsW2b77iMwdNGBxGkbV3EQEVVkUVNZWFU5bweyKhn5Ecd1+KhzKpDMQsZG3DZ491pfvvq8t3rhzen482T/uir81/81RfffPHudH488xRjGxgaQxR4WAA3QrpPtAolgrNy2AiBirlVTORoxSaDjJwtPBGpkxTUq6enh1OcYtRlvI9Tsu8JZlyPn1UHSqE5FDWv5QceEceoeInaJh9PQ0pxTtSGk1BD20QRI4ZKFE4k9jFTQp52zDwduuYNrX7saQCbmV/Z1gaueK+IMSoFpTnXAuTwBWj6trbnj5JUraBuCJclBOf0oGnKSZ8MQcdA5NLFgLFyCQckjintVQlp58eZZ47n7dg/8Bzxw8+//5O/ePNn//Gbf/h///3x29xexW2fJYYGVE4nsZGBJjgbnFBLUlZVvqZby+4IVE+3z55EUwyTVcZzEJJiENmdA/u2qKEgkRmxgdPoVNFqdGN6JrBDqKLIStCYkDnN7JbaUTIUrBhSFhZQ9M+EJzDtuoSdIpDWpPJei6qc2WOEzLqcnpu0UmQUoDd9Z0UnXU0QXHhyQ+4Kdq/oK13y5B8nBa/MjF64/aRZVaN8zRYjqqyDKDr7sVIMVee1SGpBlJ8lkga/rTOMYR7BjzDI4qCy6YSgpLHoghq9Hks13FKZ2rQGAhjk4VKpjFO2RqjxRY/mvNe0QRTtCqQbFBSsam9mBk0yNcfV4Gmrmivh72F9eKOEdHqPwQ7JSpTy/dgBalxVlFF1olelUd3RN/6owHB/Xa4uWFkIn+men7Mqvzvo38S7r9JhxL3tfmHGvoknyzzvAgEpV4IcXAYGWW0bNNzgghLqjC02+t0zoVz3VrelwCBLvm875NbG1Z4gCncUzSG4YSlQ0nrFYItfi9wWrtmMFoiSeppzdDJXI5JOfqkCNqjUmoTu2F2iWWLjCIGSUykOd0c1wI650KqRlg7aKDcADTFDSltIHGgZNvRH900woB6W19dYdEnXXGa5CvCpY0gWzYXFnTBTA9EeoVjqkVk9WcIdjwekthSn/STdYYPoiPuWcHfFiqYWw64wd6qmjExrm8FYjCTuewimQ1179vMJS3OKhnndexoPTFecrkt7X2jzQqnFJVWvWLYQHQ77kSAMuPqUUQiP6lUVNiizo7ocpOCzjlBYuD6A6Uc+SCCqd1vGKIsLQQ65B/WRGE69RlWM6FKZliLJWB/WWrL8BtxAze41CSKyHzI5SslY9XxTX5jorneRVu1zakm1sdW7KaaDtxbe54ax3TdeMOifQQc/wS1Sg0ODmmKVPPyFjYr5Qm8mj5/IcYJC8pOoc7EJEKCxop5czvtLBjqLDRKWbm9FXZS3IjFSFev3qGxtlyI8jHd5ShbJ0hNlw0mWcDwWJNTQXqMGMHHZxdLLFR9/9Tfv/vJfjZ8/fn/9ua43fPz5+vzT8+3F1lSywFJmiPK8t8FtjNofuD3s+xgMiNi3bYvTL9/fnn/7MV90QZw3fn7CX3xz/suv4/XjiSFEPV7i1avtfMb5YXs4b9uG8/nhcrpczpcWwLcXNhVV2AJkaCKHJscQUOGWUOEZjDEqxg04Zez7u6++/fUx//Nx+uXN65HPx3dvxs9fjCPjtx+1Aypk1FRs5h5nIcYYk9fIjRwZM5KIJpvgwU1q6KIolJE59sk0ojWf3jjRpOYix0tAYZBVFjk6MsN5z43pJ0QZgSl630sKTw6jV2+zp1olgyOwJGgoGHPDfh4xNnHE7rHO4eTTGX1rboYwWCPnkYV5m/OonHj5MOs5jo+Io1LULfNGJGPHTjyd9Nmr8fmbevt0fPPZ6ctv9Cd//O7LL794PD+CW+xn8iRKvBmcDnj00FBM1EaW5iyxx5tEz3iacTNa67RwbhobCto4Qmxet87KeXn45ovt4bz/jqfv93ie+qiB5xgvR34/NV9w4NARVZKAgeOaALeNtWPbJjZK1EBUZQaUNbBhIHOMzrzbxhhjAqjS2Lglj6iBgVIabVafShUD08C5ZS5AZU4oaDDeHTcdmlXpzny4ESQpNryerWRffQR7xFxAWW0Hi4ZSPVkFiFCKUXFjjkmMGpwVg7HjOvO46uMp6qeXnz/+45/9+2//y7/Lf/hPP6nO0pmlclptDFhJWK1f9JdQI982P1HSIodTHJqyW0bDmNz9DiwHILLR7PbT9olYqggSWRktjHFbj83KcdIgN4QQwhewsaBWx7QZzedxLPJM1SPT1bOyGqsXTWC7PSPWAB+/FobbE7XEtMRl1SS1tMaTEeW6gc3ZhesX49Gx/EEuII1ttzAW5eRDC8EooRFHqaXqBj4hxDCBrxGxPGN+EgpjPKmlqfBlcs+iiGUPtZy2CREUN8IxE1S6tEWbV+GiSv2/0IqMQ6fSWfLe6sZQedCPM26sSOi5IivZOJHrfFr24Aa+A/IxWMSoyLFQZwNtrpzZzYtgFIt04NC6wwgClcKg9bm6C89soL33WxKImuQwAuhl5JJ5sf3WSLfG2M4PL5gAhAxsQod6kAF2xlt7ISF5WaNFMv7dtQwb5REjBraX2VzunB1SsiajGTNy/Le6lO0c0yaO7mIEw7sNKLrIiKpmavzuzCT0mFE/h2g4EiSGp+qaDsFmNQH7sqput6pF1938AE6X8w8r5H2U3qferZOuWvsDKOiSf4XhLWEsYRg0/BJ5500EVCI6J9U5nBEFaNB2d/b4za7nTMcbDujcYQbI1mv16DlsHZwDsYPBuuZeTEW7dox0q3MViDacrl4KUiXHCg/oX78OcLTeR8bW5SR22qGVTCQYg6NY9gpmYGS59HP4Qfv9s8XgWKycl1cEWApmt98EwY4GkYuQ6rZQckTCvfZnsyzLwF6uXDodgZZ3iQBGePiHIRJYZNLhJ27rIJv5uSzN1YN2PX0xCBRRGAOqtOdCtnk7gxLh4zo6bIegRdF9TcKNX4kYI0KaWU0KJTnQijS0cLF6xSMilEZDOwLODTqCEwQSaRLIYRFVYWzAMyaWAsMAufsTw5A10JnKHdRMy65i+Dz1WmKfArhTKrTrt2Dk5x5z0L2jBGduAHCb77dkS2+hU6Jp68EAymIq2G2EReia2nXj4t/gqwUZRFQI7RzCWgZ90TU/DzFCRGWMMUqx5Rb7LVEP17/4H759fHrzD//4/XX75cOH5+f3U4eAmvNWHF4kg04sSmeEX/Ztv5BnpnIwtqHtAS8f+Mv/cb39yAtwPuHNY33+uH35zcPlza1w2oYuJzzu+9P5fH7U5WG7PJzGiP20n88bRxI+thN1hIMcOV0m7mMQZ1VRR4xBIAYYsnBmkGccOTfw4eHx9dt3D8fLy4f345d9vt716zeXn36Zh/B+4sU6rom5VSBGkVlKZmocqbHdIk+DqC2cHc4anXCNSmwbmmdvIGDTspCxEEA554sAE9rR28zUY3RSc0S1DUnaAof3jhtCYfOxUJh0HJGZNZ8cbGGL+z5SrKHHcXq44LxrAxHaIgpwC9OrzyS7CtimZlZpArc8PhKTuKFuBxJ1IyZ0iGRsNTQeIp6Azy744u323ZeXLz8bX35++eLzb572h7HtqkEytiMSCQjaNkFTYUUEiAOYZAze4GMNPdIJAerFuhNgT98OKupWCsML24iMocrT/urtmyD20+n7GpPj5WPG9SNw8KNuecWzhBslHRslIAuX2ni+/VKXJ/EcSTDHICI263+3IAYTynB80h4FYoJFDqP5aXgmmGlcMqkBOetkFGoUZ5VQSvaIy2i0QarhEz7QcUAKHwqMMVkicskoUC0oc4+N2XigInSIaymWe98aw+NxBqQRmpXSxo+3l7hpm/rp+5//9ed/8q//m69+8//5h3y+nfXuNidxGyKupxyVeiY3I+Rqpb797I24wqM7JXJIfp9UIKu6+kCX+yp551qy4GqmBLI0PJKeVnRi/aVoFUWHPQBhSBqGhMIpS4ww7xlC0+gVEDkIJTrwASOArKqIgcqCMj1rB4CUKNW2jVziTiKipx647FULQiF6a7d8taUsXRXHmt65eBLvvh7Ra74jAQ8TtlaISi3XdS3cUq0pCw96wibUSiGiGWr4J1TLnn2TkEitQozwINxmkBs9FlROJWjBTyPZDakaV3XOjS+hQsVSt63Q85Z9kAFEIAvDF2djGsXFWBN3MoNByxTtHC5PyBQYyOEi0zIzQ18AxGqavfXurg/9gtxUoXUsEomsBvv9cDoxdaXCTmDboWQsbsCHSVjkIa8dqxKwbL6iBikFutc0DMchJEXrcGzhSIpIFzDhGL9aSBwK4bfQKh7zQuqig854VtMKUo2Chj1j7LFp3RIaiWQp0bZgw7hGSw2gVtd9ZQf7Jn9MIcGBMPx+F3y5yfay2ZatX+Fq3S+IlDw5g64iS8NLy3nncE6LmITLEnW9vHgKJ9rYW8qioqTwbBojlF4PJq3bFVAtcWa0mMlrryxzKEoe/umLD8RAlD+nJfSE121EiAiuGX4WY6zmNjzvgo0P+EHEKMNRxqIXryODwZaJh+OJWx0iCDF7XJzZW7f/ZHc7TvkQ4AAsln1h1otShgkph76BEXGkfLypk2t76fdDqx7CHsu5bdU9XWt6oobNtkZ0/OVM2bjx6VKz69MKLUOvO2rYUdE3zrI1lJa/mItuYR+GRDe0ffQR8BgO35BwiF33r0xBKiKKZvlF26xNcDHG8jAaI0HVLA62SFtbm2v9bHwQdK/CwQ4wtfKPZRAmwGR4UIrpgRL680iOLzYjG6208fP0dC4AjLozKA3zY/WFZmzpEQPl5uCT/o2GUZxAZNmxUKDW2YCesNcEQp/bXHrFXng+Awo9cFFcKFR1dkUs6NlWbFNDbWN2i9WNAbshCnXrI5vIs2KL4LbpyDzhATNut+dXf7F99x+e9PLzx/cvtw/z5YM+/Pjh5crySFDbrst90SiAqjgHH26M0xDGzvMe+8Mgth9/9/H5Dy/bdY8Yp8vt3Sn/9Ls337zdxrhtOl328fDEh9djf6p959MD9h3cz+fLNhCBCGLQM/BEVUI7hqCaM4AkNqJGGnUcDOvnhDQUEgOa+bCfP3/39YcP13dfxk8/Pd+e8e5x++YxX15uM0MxqjS7/4eUmcSMkYGZOSM2zGTMGpsjAWiWyFhkZsusWMTQwpHKp20bH/ue91WACLVYMBWo4oIgHZxVaM3xwOjxfRoDquFcFomFjJ5V5QAAljRGWFm5lR52vD7v521UV5ujMIUNmt4cRCgqyLyVpuqoedNxY96oST2jXra6oY6sTKNou+IU4/XOd6/z26/3X38zPvuMrz/nm7eXywMRgRT32ji1tvdGKQuDUAaGGU6FgAlxusAEJCTH4FHJsW3Bo5SbdrX8klAhTeqNU7BGsPLYXr9+rU0H81BE1lUvqHm8fK/fF+qGF7GO5I0ga+K45oYYJ81D28mOtDJ4GwIyWmdbyTxZaTIiktzBLTEmkpEosrKngzuo2tSiud5ooQsDKrP5kkpqWEYWstiiRWl2OaZiqYQYyMOkn+TfBnO1njEREGNzNQ2AHMjSVkwVNy3wPo7ifuiIWanrh+2XP/DHt3/46//xy//tf3319//pZWiLOOS61+KAHZjSYOS6zYzNxd2p4ihAn0s28Qq8h4VI9LHv+ZDoKwGNZKH5b2F9FTGKLe6k8TlWR7tHNXlrWLs4nOsi0PUEkbIGWx004+lYixzpoqKV7ePOaiQQILMKMQAgWAnrgyqcRBNsOBOBCKaSikBoK1SMNFDjK+HTed3gVCXY2iKMYPoheiocOoCUxr0tuHLmqkUxbfteBdEotcYpVw+2HK0oC1dNP6hApBDWsQyFhmMJLNuIJqINHkeYAFlCJBMhUKuhGxyy88J4pBZFrwhP7ul7UQSyK9sUAmQ3OM0o2Lnu8sw+qb6Plvr8ToqDTcVbBGfjQ6xLEmg8jC612VAeg049oMQRJIcwsbWyqS90s6kAPZMZrl18VSu9blNuqTxCSbUyvbEK0i4iXW0hChMIWtDluRyYpXT+Y2eyRAeNyM2bbQqf8AC3IjASvHTY6FbAX5HmhrDaITTRAXR4vlto02Gj6FPMP28Fd/pUutfnMLGy9FdEOCfHITlGIYnoBy51v+2xJkqLBqt7A1EaLKWPI0hy5hWa/nD5WyoJeV8NAijrqJD9Si1rqWXSB5xHFrAi3kBveBaGusZqoJ8y2iQCqB6vEu5EqpDROsG7l5YgguYkygpOQE6vGS7xDfy72JQW/Kp2DARyRDvtkUIpxbCASuhUDslom0R0pHIH8HLakBwGY6GqzUm2JknuR0v5waoCtcqIT5I30GcaBLuBRUhZ5ex41pDE4Y7BD4ECVYHoBIlVk3Rt7dM+gug17fLdnKK5Sj/88L+KEd5drVISmuhUgze2jDHZQufyBOXezURgWH8vowQVI4KQR+QJsqzZH4wNm4lCpVNUzX2iyvpFRotWc91B9C6pHk3A6rYmW7Nr7XWHqpYRO0mswqexqU3PNT/jLsWuBxYohzWC7tCXDhNkLZhJ3Tq4s/buWAIfaxG7j+zexvzJQlfURKBDYnyBfMoQ7UbBc2TUZwuH25gOEo8obhJZrqstXJcZ2D2rNFilI8fB+Vf/1+/2v/rpx19+ni/108/54/cf5ktFVhYhRmJOqcoaWQIjttOJ+4htnIIxdu4POu17/sz3v3keR1A8bfXqgd99/fjNF9vYbxHbw1M+vubT03a56HHn66f9fL7sl8s+GIigqISqNDhrYxEYw+4TjFMlboxj6uqtRh9SrBqyS1ia5kaqttPls3dv3j29wtvPTvue5/PxxavTq02XOHZygBs1TDr6B5Vyoiap4gxOVZptAqSqLAimvFFkhyxVehZ8T9SRmepWNWaPXiWhgZ5iU4qqSl987T5TyTxuMZsZroUy1lgspJDeQpLaOlag/TTB02m/7NsYGNQYYBTH2DZwG77Oui8PiKzivMbtwDxqKOdV8ygdyuusicwKjk3Yaj5sePOEP/pi++7z02dP49XjePVwfnXeB+umrFBUqg4ooaQOI2soDkVGIVIlaDJTSpa/QnkuD44DWyVm5cy6Ja5Vz9Jz5rXCYN4sXFOmW88DT9v27nT5/Pz0+Pb1wzdfnn79TXz32fz2zfbuYeyDwxmMM+cxcYzbi24vR03NI/JWOwddWqPbkICgKXFqZvEUxOA+4rSPjQvbabA4CVI9lKYkWxkKyAJUWR7aQ9fsDusxa2f9sBrsMIJGZQk1lEj17TOMnSFUI8hlrVJUyunMoIDirtEoeCFqZdMKzJFxfDxe6ra9/Lz95je/336Vf/E/fDVes54HJ7EdiKtvAKpYRFW5MXGGrSxO0DpXXLoFG1kQNQTr8xoIdRkJsUowStlstJE4H7RQa17RyimbTqujZwysmuDvIdYCUJS7E1cGxlTQxqzVSPuKJbERHBUBVufnAWOgp/WSKqVUy1bTgS0LOrcWqoQa2LxAWB2yOHwn1BowEOj8hgAGy5wPPbdylbxd4kpQNQdANW0+KPlDt77Lx6rKHpOqbtNaEFyL27crYckUXAihGQxfIKzy4yM5WwdRzTk30u9+tKxRaikMmejSmXDj5dq1LyawGvAVIiIBlWJYQWLRkv9aq5P8Sou6kxauY8sKoVXteNRORTTUD3P87UVwsWn8f3Uf7DpZUAykyslNbEbDf3pJzVwW+2T2pUoFY0iaagyTAMW0tJkiw+SHqdjW80gqhNVWjbRlqir7Tbt7d5AJojPZyYiFPUJAMdTCCF/kruvYL0f+9vcOzwChm0O6motQi5jYhFWFsU91bdkfFViJThaMl+dxhIVxLotcX+WqU2rVWd4p3TS5cOyMfEQUXTkjOGzxEGk1vQF01zkNO9uZGM2huAS0zN63njtULhRVg0PWEBGh+BRkFK6bxZb1d0FkPzvXd2m9VLhERNdFDg2GHy8t13Gl2IBH22EIDFvz+8GVLJ1f1AGj0hkB9ppEz69ldMi0BY0hhhiFlPtFSEPBYeiuVzoVhjkpMMqe0y7FAWT5hKhOiF+FLamKsQVXuGYv4xiUFTselDZM7NSKBTLXURmMwFhVIDqkCWOhckuVpmY3AQcHskVC7UIw5OW9I/M2xGpmWobUmHszeNWgCVaNO/pPAvCYVk8gUbO6acEiigVw+DpgRKpZSnZ0rjrVWtRo70WndOWq5K1760YQvYesHiU6Iy6EloJRhRXJB3TUhVcVWqwa5lIazKQPHcWdnOwDT8IgeoJmk5s+oSQWLXhgyXF09yrfH9v2iXKN0d314EKDiN4G9vn07doDNTuuD6IkdMLMUCC4jYiNAyGGNIpjzOvtzVeXf/0f/lJvf/f+p9uHX47rj7fbT5lX1hQzq5iliGBElCcecd9jC8W2xdhOI047Yq868IfffDx+zsjTaR8PD/j67fYvvnl4dZ5Rdbo8XJ7qctb5NC4Pp8fH0/lxO51HDG1RAzOk0c3/VBwlseZex5hF3Ma87bxRDG6RJrNa+OVJi7WVxGwV5xY8v3r92evXlzdfPJ0fxxj19pXeXeLM2FABRW5VyWJLzROjspKzCu7+q1UCBdqBnAqQGSPXndhr09paE4QMkHsEyXSGj1AqoFSD0ZcMwboDPKvb9PuVQAxaEw5gMKTRVygWL6awEwxEaAye9hhbbBGbcy1i7AxoGA/ciLGBDqKecx5ZqTqqrpW3qFvNo/KldAQKA7sqI3TZtreX+fWb+esvTl+/i8/ebK/P8XQ57ad9xDgNsSZiJktIAmCqDn/jwhF1UBPjppoVVZgxUMqoGdSoySBTnEeWiJm8Zl2h4naFXoSDrAyVbtnhkkTsp8e3j4+fPzw+PL7BV99tf/yr86/exOdPeIw8ebzIMXRgzskZuvG4UbPyxnlTAlUpKUMFTFAIzKW0JffBPWJEnM4jguZKDdRWE3cVbCVxdIG/HHLRPX6qksWwhrq1joY2trZ++a1bv0cH/rjNGyGTfGbbGU0/eY2QpFSoKFs9m0JODVRMDOHIytvHnB/jl/fX33/4+3/13//623/55kU/x87chNGLphBgBUeXMI1Tu7TwCdNajb60PJfX5aOhy0YU+ryj9fvdClO0hMeZKhqx6oK0vELsgM5G0DqZwmQEwve1KWypZ5J1vtCaSTCo6FwQ+VlE3cEPucMIF8H+YhEuh12dG8rFPUWtq2FKRdhf4zNaxvI7gcMaAZS76UAFnSvUoCKWoKPB7K4z5S8s0fEjveVjFcJEk39917fpNCDSsPJsaCv6JuuVcceZXHXH6H554f0rBYzuWvpuYj/cJn96BVjM4/vD0DQk1eiP0noYF6R0sED/LYOTWCHvXfyRNJntM8ufKHLYLtEDEKKaluvF19BY+wMZLaq6I3vud2S/OVc556TPMeBKDnbMYLQGfJWLbe0YvtkrqHuF4qu17j8Pn74awCoqjeuFF5Azcqr7EwnTz9OFBbFiVTx6Dd3/itG+groX95IHWiygPAw1O1UW7SG2qmRr8QKI6IhG/0V1tLARaw25yhrGSEE4KNbZK33rtLkYfq39PezS8mrS2o3uTwqcLVN1C9dloDcQ0H4gfyv/UriHC67lsmQO9o92uiXCIpCGDUJRTk+VJIdRckWi91XJtRTXvALcc1TXY3c53Sr/+4o35zI6pcpb4z5R1WZjFazaco58E1Eyly31oOTmISWCfisOAqdso15PQtCAkWa/dxQd6+bpwdXa7uoOkMQIKy0Q6toL97q7Dw62kr3zVEX6CTBRctsdscbdUeuglViy7V2wZqyPeHUjhZ7Dod6vuj9zIkb4qG3onSM6H8iZEn1iYvXGvvna3gqrUKTZHi1302GlKVPFQkXbPy3YXMmoa6ewLaks9EDbRujd6vA+762JP8KxZoAT4Tz1YFWO/ovKxhnQQUk+MRxhBLDYOaEuxu7MyELjvaaYztkM14UO+SoQi8lBfxzSh1qHe0SDbTAIFSsft7LtBehgW9PCXivG2tyehBVx4KJ1fYG7afEx1InnE0pTwixhGzoh86iP3/7lF3/yV599zH+6fcDHn/P9D9fr85wHDlYCSaXyyDQEHUScGBtPe1CImnHWfhrA6eP3+eG3z8Q+wMu4ff6kP/nq4d0rDtRGPW3Yz3x42C6PevXqcjqfNuxROGlJfjkrb8BBXVW3qGvhpepj4v3I5+IsKHCzya1EznIbDhSiiAJm1AEdyizydHp69frdq8fzq9f7ttdpq1eXcdm0MbaIiNxswixGEal5VaRwi8xZYM46claKgsfXuqEP1aAARt+nbv5MxohMyibXatipa5aSg8bJlqxpUXo2yCOd1BVVwwy3z9ByxoErwApsLkYsUOTw+hBVIQ4xGO7ZR4iRgMbWGEDU8MmkwnHVca1K1lE6oCNqVkmYk8IObalXZ331av+jL8/fvIvXZz2e4uHhdDlvY2wEkRmSsiqnZlbeAOchpDihKZWUqomYQzNYnEeYFkaBs2JiTJS2kRFzMGMUdUCTuEHPWTN0CAncQjPqoMh4dXn68s2bd68up8ezvvnu4U+/Ht++wWcP+5mKAQbmoZrMj5hHZupI5q1mMiqGNhkhE5h9+lbhgCP4FNAe2EecT6dtZ4RH0kbVnR7eCiOlKakcbehauItPoOuelWjYQJ+h0tFH6FbiArGLY7AvSwxXDAJQQQ4Geg7cohWEYgnKqlr+A5ExZ+TAjNutdMPtWr/7/feffX3+s//um+vj87Vqu12orTQH56ZNCItxyL48O73O1+UY6ipH3cSGOQMJVNIB/QuAMbwM97hdCsupYxA8wEOCRsf7LKgfDZQarqiG/M24Op5B6Iwg47GfooyNcvQ9hApX+qK3IgkMa3dEFVkuNfz3rK3vwxYwQNVbkl1Ise8Mksi24lIL9pJBO6dSST0RkBDkUEZ0a2dbKSMGnaVa3do3UOuAjaUZ66qJZHj6b/cgTqlxTSK4vkaHP7oLhKXPFqJXkwNQitkYMbvPMX1jCBS2+LoUM9g5unSzTIPg7B60JpoVXfeL6z51deH3hP6aBKGghqu0hjN8ShaCPWmuVqMgkKoIJX2dd2Pj4t1CNN/J4nLCkQFUGEMLUw8u0gO18rsbJfND85cuSChFZUejuIY01ltCF2OLnFurWQASjQQYG6olq2N/RrfC/FQlK4Roasxu0sWzQElZ/zOqNS8GFJz+YBV9drMIEJG1Jry7COnSAg0VrPdoV+NUlc9b2R9xN+9QqGVvBoouRNfP0h2OMnnXPgDS8mYfAdLqvmCukwQHnWbSLdD9Bym1KDAu8DRoP4kfsVBanKJcXKMQtB/fAkQRsXr9vnpbBd0Fmq9M2+mK/atpWker1/La7jZO0QmnveR8JHRWB/wl3JdbcBKOUnMHHqBqNHc0GCNQFpWZilZTgmsOeNGmMhZU7KMVdwu9j44GHeBhDUGoFN0rupWxs6UbGtfQ1do1mIHmIpQk63XivrNX+WoateDoND+UNmtE8r78QfOiDX/36vO5CMPbRDiSzYllPpbDVyVg6Z6fKV1kOwp70cUtYaiAp4Iq1hS/LPnRoodoCAuiQaA0G8ExS9Q0mndpJ3P3jQECDk23XhaCGx96ZkJh4RU+QHptkxhcLJwvb+9vRyI7SKPBiHtz1iFR4SddfeV8qv/X4bOa1NUQGBOsPt5XtNenHdl9Ahs2aEinmpL0C4qmPYNyM20TvXlkBKzPgyYOJsZtZN749uOf/bffvHl3+fhjffiQLz88X3+65ksKBHYRunnYecuCwRqb9hNExtjGqWho+Xn78Z9+uf0yt9wi9Op8/Prz+cdfjTM1OC6P++lU++l8Po/Hy7ZtNUaN6G88dKMmcINu1AHdoGvUs/QMPUMvuR2Rk3ljJTIjD/KKOEJH6ggemTOnsE1Ao5P3ioPny9Pr14+v3jxeThu2vDztlx37lnu4cCNlg/U0y+U5x8pQFhDOcHcBxhWJKCEL5AASFAO9S5usigUxtq9NEJjl/riDI6Kj5NxBlFt8r4TyiG2MUWxUb1oY3Yx1skOVe0+CLQqEbAx0QBUXO1EWugbohPWZOa+cV+gWcyqL80W6lsSqyY3BuYUeL9u7U757y2++OL17pcdHXs5x2mOPsosZNaYmZosbMUuaArNMsR/QFSyghJy4FW7Fg3BBP8Er66Z55T6lhGbUJGdiAimmkMQVOII3usrFC+IAY8T56enzp9efny7j8U19+/Xl6zfjizd6PHFjEBlC3apumi91+wjcWFl1TE1ijkwSW4KKUYUpVMoSwkBgcAue9+1yxqmTCMKSD99LpZISFoX14DfJil42DoaqJQ+qxkqIQNIJCRRqmhZfMpcKRYzB6K3KZRsiNCzgFJZAsQ+UTUBtmsXCUTlxZAZyn8iPnLfCx9/lDz///t/8j9999deofL/NS+SZp5SU2dE0jcGtyhirDlK1tBsc7GrYxJT1DeoKs3vbprPuEgMfolUykMk+7cXAZItTmoAlYXwNgeFiuEubJQIpVoUVwMOsyfojirkqEfPXQTc1GuouQXCOExa2bhVqiEzfrJCFVj6NpRX9Ysatcaqi0bNGX/q2MFW9RCPri1dAjYd5potLsPuj7avfGqCm0dlyc4dVyqeLCi4eGqTtnIC+aNqQa8C4kbxq92cLW2GZaIe9A63K7xnlw+h3aEUYU4DxQ5f/iwxorNnhHt1LNRrfFIIApBMsaok8+rpebEj3ks4IRRg2Z3QKn2ekRwmjy2+278UyS9uQDS6H/M/8i1iIMr5acLVASaPD28PbUa2OD/cl4aKrVRvFhduvctGXM7T8LQCiwhqhLpVd0pfF4oPgCLMklo6LjOHN71bQEpGFcLo27YfV54QxhpYlNFETSxcFdBCVQczGRKtl3Vq6IAy0pk2dzde9o/NqtLCIEb2aAFht36IWrMJFIobrBxN0TTWQo4HnWidGWK7TES0Gg9P5PwEDYx7b5jJYAJEWjrBBSw56R1DGJNg6Qnfzdl26jWM3HD15Qv1A3W4z0Y7kXkB2jLR8r1V3aki/lMoqmHKBWQjesZY+DtcHoENKERrrgGJUs/OQsnMbvF4qqhV71SyS0h1/B5eV3RIAmfT4nhBDGxmjXVC9dCRHIG9+oO7+aQ50BBmjfdH8FEDTJRsTC0R3qiC6R2KH9vjn+wuNPl5Jy0TuqZ1d9heQaOJIWvBKQxIQ/BtqTV1RNFFtHUSv50a3CLcvJc1/ZqQS2LGzEcG7TIKLY6VVLlX+c59WxIQDAfpWis53QBo5d50vwSIxJyqCVnR7SfY5YAiHMvfbB531kSZKekp2L02fExYvMUAf3ALaqe71sBpd+EAiaEONb3igU0P929jMsV3k/gFd/o0FTAF+QqsVjy4BHarkxLKGY3q8PDk0Nko1BpM7xg3Pr/56/MV/+PIDP7z8gI8/1y8/Hh+fE8nMlA4JUvpgFYBNY/jiRkEbtZ/jtJcOPP94e/+PVx7jTD2c5uevtu++fHx9LiDHmeOyxalO27btY9+3SECb4R6XzNIBZUDUJA7qwMghx4QX5lFxiBO4BW+uIEOpOgJHsQaLkQ77O6RgDlZJj+enx8e3r97sp3Odoh5OeDxtJ8yTj2ajOF3TZxSQlalEtuI6qzLnzKxUoqHXsFS75Gs4jaAYErOGeF14vkL79i4P+wYpDxsgl9oXS062OMqoUkWH1nEYmW0kGat3rmAMZDiBfdDY6CpDjjZ3BcgY2DAiMz305OX5OG6ZE3XlfEndqBuyKmKr4oXxMPB43r94zV+9O7174uWEyz7O+75vYgxGotJldQtw3UIryYM8AofSVfKVeqFuAyYBDujGfGZdI2dqDquvNCElZgiDFZXgDTyEAzULIg/oaP2zUoPk/vjm3dOrp6eNrz6PL96NL57w5qTH0InbFmNKeVQewK3yWXWMmpwzcwiqys6xWFAooRmqYm4R+4jzmQ+nbduwj+iTpq9FAConbpmoC6pF+qpK9pGHYd0sF0kuOsRbxn1HU5jOZODgMvgTKAyOMWKLET6cKBrBk8oRDZA0QSkdLSWggqlRGsg85sfbR+bHy/uPH86/fvlX/4+v4nLdbjFqS96OuI3jZESlO5t1e7vOXKyi8eQuF6sxpU4Yx+I2PdGIrTJoiG0llcM6ke6IfIygg9dNMJTKONWi2LsklyvRWg2P7/oepGG4xHdkNLTdfBoqHFqNCEX5cHQARKlK0Uk2m0PiLXyO3IKuiIIYnzKLgqYAXL2OxiC7QrDeUuVIbHfpJlQM+2uJhVD0+jBKaS0tQl0691VSUC4Y1jXHCJDZ3tQlbgBab9VUTZUbqOhYsabjWybo59bAKthouFmIahnWQNyvKXC09rb/+F2c07BVGxJYiRabonNWQjgahfL66NLIYjai2IgrfUtVLFW9W61uQCS7LgRshvNbnmsMzdLl6GnqXfI4kQBGDy0YN8giJRlgDeu7UxKsvvCWNQQuQg6qb+gZaDU+emZrAGNAVFjSyVKaRUCbrNHon1MP/JUs1VKX+f5VYRuxSCEGCuJYiKCfum8fb7d2szgEmoJF3Kv0MQMEmbYx2NT8TI+tg8rxUgyibfNdK3ind+FR2ZRJF5du4UxqFXBPwLFcT1rYAUAsgSTuc65IDnb6a/YO9pykGAvCcG3jemsYSWErXzVa0VGr+GwolMP1nQiVkWYtaLZW68rUanSbIlkAut9G00DuyoLENJfAO8qbXWu6nOcA3QuOMXzfMQhu3j0dLuMWht7hLTeLO+ZLzzlwU+8O3gDGYBeK7gZ6ezEJDccKRpHcR5ivCAaDsRBvIKG0UqqZJQwu/oJmHvx2UfCErYY9wyeaWjfCxphFyFo6dfNzP8qXJM6zeJvic/MjSazaAE4DWF464ZhlmUrthkLud/qYB6LFXs7NwGgmhKgoRlMFNprRtbh8xuR6vqCbiwaVpD6ChjoCTaOZrUVuoBDdwncnK+O4jdsUl1+kDF6sH9pIjwwZyGPefHcYeu634Gi2QMsKpH8W8GHSeG2ff9Zt9uYkSFWlVg3vxqPLeX9Vv0eY8M3mD0AFGeXfCfQI0bDbXsqqkSyRZ95OqfnHf/PF539x+t1P/3T8GB9/eP7l/cv1NlWqVGbMjKK75wDheNJ9RCCwbdtF4xQckQd+/v3t9qJtH4zcB7787PGr1w/BSWQohoIjxqYYwdAWEZrgpLLRqFanhjpfgFVz87V1jG1IQObMSmkWj8pb4hlxgxTZBQqSUEZkMWclGbGdHh6fHl89Xs7bdtr2PS7nERzB2GKzYY9SboA4pZxDkm6r4hALcvrb1upaSP3S1WMHy423WwKDR93s2fQGv+ooY3Kd45jr9pIXUT+DQdNihgzYB7rXpFYpVN7UWOFPIzRnHn4+oRARO8AJbTGiV0QVU5nH85y30ow5EzPzWreZE2RsSF2AXfNyPj08nj4/8e3Tfr6M0ylOW8SARwohGJo5pToqs5CLFZ7MZFlrdkBTyEKhqCzoUKX0Qh7ASymHH0cVkcrcg6ijcpY8urcM6LCqNIIRsQMBvaCK5/3h9btXr56203x82r/8anz5+fnLx/3xRFIpceqWOKbmtfJITemoW6ZSwihNH645dYj9b6oGQ8ikdvI0+HDexx4jiLC0VpWYAJRAgUPMhhs56NiQ9CToVunwXlyzBsgw8+AzhYbyXJv5PCfTh7vbUtfFpLYYZFQRzIiwXszH0FGcVTWpo1LIqlsds255xXGL333/44/Hb/7sb7968+2buimTOUYMXILGALtVbcqBqBroI0cdhLegGaBBGLS53SiK8ahPbS9c6nZsreunMYblKcq+x233Mn5+v04MVfShyNansrQgr47nd7ksg/V93nV/EA0kRbFhF9e2VREkR8MrID3Dk8z25TSG6CKnXD6oY23WqAB3Y2aAu5yvhkOqcTc0gXC377n7r3BaOuQOQiL7yzda1/WxOySuZh/Wc5tOaGpYWFkTBqKHecVO6zGgKv6zKVxGqSF/ZrlGcq1Tvpnc1vViAEZ1P1Udkhr6hGOJkMJQs0tU99IGWBujtipqkj4fUxJWs817U+If2u+cfY078O6OgKhBMK1AuzYBRzUih4bAvRZNF5hkVUaXhm3U6ZYJGI0Ekl040YW7Wyc0EGl0D3GvULwtGQ5/YaZRRpLF9acIt2wdFWV7eayuvXMfDJC7EHV7rDt4s1JJGGzemWI7aBSslCoSiryL29029ZVh/0hX/F1ZwMFEwzcT+2dHN/fddvvB2ZMteFP4No7RBVWvcYP3gxyrN6aIwfQsXkup1WCzZdmiBRj2ENgqLgAxGI61iravu2ayzGWwzyV/SgcCtX3/PvfNx3MNrdCtAa42vZtBYo0LCQNqvpcxCGDbZNjBRhefNoSQ7uDD41PEKishff7VCk2+D/2CpT1wIcuRE3PyKL7Mer5ZiBM5NLWy9ztNzO1NxebIH0Osnct0JwPGCIYl3xr9SPr9D2iwhjh6iDHTpYjbynKYOIvMVARHGNqIDlmNxvGiSV4vRfOkzV2tKBlDkHbKWjtdECIwRgxmQFsAQ271Ixb5UqUaQri79z4qY/yru3O2uqURtFRMlNWppUSJm7pB8goaZkMEKTYUq5iHlBanuodw5xJziVCrN3sjNn5KUlhOYVG54P831bfCvZejYgCrc+oTz9iWwXkzEN2JQkC66IfQAyebbvCF2eeN/wcLdelDxVoe/zPIUkCzsj2XmiVEEX3JGW7BumCAmkEEtnBmXhXFxL5J4/m45sO77W/+4zcvX/7ww/vfHj+M20/z+cdDN14hDSGSrqoThjaxFQeJnclHxHi9bRfgwPH7+vCb2p4fH3M7Q1+dX757PU60hGt/2LbTmefgLkH58pzXY2ZZCy6B3BAcg+68K8RABjS1MQbGPiuicoTWMX0LHZHFTNUVfAm8BCd5jZFbFZFDNagj8/xwenr19vzqiaMQt+08TjtG5AkauyILhe2gW0ImcRtDxEQWJpTTlE8dOiSYTYJiFCSPPB1yjA/dohckhSqcC9s1EilLcoSoNhHZ4TIADAQV2+AQIzmEsU5pangu0t2xFRyB8CgMS/0J5KzboawJ5RGe3lwsrZoi0lz/3PIl5o05pbndcquMOasqcdRJEcHtNJ52vYl687nennXm3DlibCfootxQWzKPQ7oKFRdtO8na9ivGDXELPiNuHArMQe0UcK3tyJjCLUIa0BBiirfiM+KqOAYP3Q6v/aDPahaTnOCMeJl5HPNF8TFwRAgxxnj18O4b7G+DH7/4bPv2S3799vj8lG9DF5xCCGx1rduR11sdN2Uir5U31SxwZM7rLWeSCmFkjVvVy60a2UJF4LxtT/sY5XiqKHKMpQGJmMZdPAGWyEE6PUhEk510VnCLbN0uikzS4kumkJ5pgRA3MVjRRDrBCI6NY2OXgjFEM8lDG5o/VCGjcqgiZ9wSJSJ5nfnLrOM9P3z8/rt/8e7f/E9/9sP5h8TzScUct31OYw8ajdNssBKhpPY2etV5Lh3pysxHEqKqSw/SyTPO62NAPYDFFSkgcFRV490NAPp0dBFiFEogYsC6Gv/26owOC/yRqGjpLpUdIhrT+W8+tFniOlJlfrY6cSddvfWFQcDurxqmlG3mdB7vsu8sZ5nTgFgs9XhOvxuX7ssnQMtlXYEoJTHYCl4F0Fp7i1/uS6SjQRgaxNAI54IDKjY2F4yGYHgvTapcJlOo9Ex4E+Yu/tX2RQ+8AfwSo2NOXHhjoXrGrML8istplnMyN2lzPdANjgQSI7I/iudxihxquIvUAF2rDPPQXYTIu9vq7BqwY7LxXUpQOWiEREQrexJhQXa0cWeh3S2sXnJebHSVYKGjVhsAwsGDzsxAVTSf3Y2nBNf4FvC0C5JqTb/LumXwaDIkEE5dtQ+8RfKS5865fkFklymFmFbvGOddjI9FG+2qtHrCCgpEx/9Z66lqTZWKma7GgOjInHsKJwREtcdXUiVWPIsnWrpovgt83K24NLfe3Ahlep1FC8UhICe5Hlifdt250AxceMVGw3iQnWn9dP3AjNQSbOKsd/kaKSCYOHS/I1UjD6QU0Tp4dYfdWnkswhvUkA25EJZww/i8oWGT4WqikaO9AnDr6xaw2ZAKVgChGOJgKEap8y29TmMLjhixdn40NBtOWzV+XwJKmFjYuRw8kH260ct9oAdGdNhO+1qaVw2BsyVuEnyQtHmKXef6IXlRkkJlrGrQfeEoRfeaXVn3dyWI0fC2eheGWSsYrW76RS0NihKoGG7YqyXnjnAs+ZjASgvQgrO74MV0GpGiad2ATLypECTLZ5BVtkE/mvueMQRnSaD71nC0ty+iEqVUdU/vsSctuWqm0n73ll01/yA0gG9iSMt5BKl8kPlP+Fc7ucNcvI8UQVR8+lurSzbwIyHA4QZM9NwEE+mgEOz4Lcu6V+xCUzlOkpaZ3n49jRnH6rEHllgFJvXCC5WkIraez1Akh0ZoJV1xjA/j99/8zTff/fUf//Lh55df5svP+vjz83E9/AQmMKuUUGBauQiyRsQQxBO2y76P2rjNl/j5pw8fXz5uAzF43uaXn1/evj6N0CQ3Tgxt9ouqYpJilqqyEsGd4HBiWoHN3ZMxoGBkVamOXWuhqaBpQ5oqQW0jUYc0S9dSKTOVw9LPYowYOL9+s++nnWMA47TrPMZWQmnTTo5ARxETLGYpS1XobGaf/t5kGBmo0GRV68p8xLlmkcBINGbbIJwpMhUVavuYE0qSWJO5DOtF6/ydtu5Kn84cDLsiq6UDUrFSsE8zOFQ8krNSNUqIymWgoVAxjM6mVIfyOo8jM1VZOo663SrS2EGB2oDLPi5Dry/x6nG7PIyIERtBFbMCMTDnc85fMK+DW82qnJOHMIRJQGMwiziCUl0LV98FYwLkBJBVkwBH5bnEzKgbR2krbJPjjvDWot0mdIuRUGpOpafRFZWvHt68fX3ZB857vHt9/uzd/tlTXDbsm85bqCYoTepWdVNNEFtNFFhHHZNVqNLtqJqFcpZnlSqgRGzg+RTn84gd0oSRrqo+ILOaLiaLVVUhqCpbfWJAE4VsDptRSnnKQa+L4bPirjHgUvaOsRlwllIla28iPNbb2XywuEX3/2TOVOWhAlVVNXNer/Xxeb7/vmbOv/2f/+zhT/OjPozjTXD/yJehDOMIrrmSSlg0Yk/mHfVrKrlRi2gkbXngqw8hj24D2bqdokEsJ3Z2oqYpfwLVbZGx+BaSuQhYEgwSdGhdNCBusMbYewCzGqi0t1Vy8DiXes6nag9TH3BSTMM+MkHe8pRAuGZxEoYVyi1RarF3r0t1e2q5Zb/Bdeh3QWsamVTHbK/3HMaofUmEnNWSzQS2fNUg40pPNC6BcivABtmDAymnH2Al6KkwWhcjSB4V0zE3Vl63KBh37sY3Vnnig2cmdMvm7qFU0bp6o7LqO7LHUHWiXucrqilwmDUiPKOta5EunyigvXXAWgxd/qkJKUfjGRtUMJv0H1isqZshVqf5VcfQypkv6UeHxjFhl38tyr0Zd/cDPlODQCFNQEH0E2mIFesSEDLaudCthOz1B2S0y07aEPLTjlGp08G7NVsPxG0QeoJot4Rdy4Ht6v0kv+jd4KuqQPZI9ZKtqQDY3U1Px4zVsljtzRb9y4xGObAkbJAhbG/2m7p3qJBirMaozzrv72iD+t0iCqhG2QxEdqKNry2sZpqWgYH9ipHR4Z2NanagLXsHWNgulfq0aNVLExQebesMxKW08FNbXF+jsep+ItuB312SyzhxPXG2XanrnUFan9Ou3w7osrnPDQFDQo2eJaYo8wPO8wZgPwRlPqLGnZL0ke93aKtzmxN6sRlKXP2LGIyVWbDykQIY8NHp7eDmdjZfZ71/r8OoWsPG10Fi7ZsbKqtHRkQt7rrceraIcPQ3X6krBO2LEzRCXHFl0WIRoYz2O7vJwAuDHioBAOrZZerAS5LyJh6GWMs0Sqm8/90A+2/IZg3IhJKFfN565KAzp+78rOmfQs8LW/V+yxqNkOq+2xtBt257yN5OrcOPhh0KSuMmo/m1xRtwqSQkoqfwBdQJz65bvTFZsP+gpTpdg1pzurp/sjms/tHgOoIbIEbC+aABiIOs9ajMqFFp2s+xU8CkxMKBOV9d/81/+PrdZ6cPf/j5+EUf3l8/fMhZQUUmUEBF0upmTwCgV0Bscbpwf43YKm/j5cP24Q9zu+UpBF1fPfLrV6eH8y0xN3JsIyIZitiIbfpin+V00UrFIG1sGbEBgjZWTbeEtxhzYE5llLapwByomBnKGAc5VQeHiMnMjZNpu0NpGFvbIO7b5eHpEqcxBrao/TS5xRAZjmkplKrkG51llQhYRBan4MpdSpfosixq8cOzKCJmn1tSumADa026l1iVzYw317tJUvXpAHBFIJb1cfJ4mSqn5DpXIlxzBqPGXuGdFZzWWubMAqRRiukWhjKwF4jBkYrjNo9bpnibU7dZ15xprQqGCGrfsase9nz3NN6+4umky4bHjSdkp20nkS/KG1ljkMGNc1OxkkXGHHkEMzTBK2Iyc+QczKJG1ShQ2KKkQ/Df8WVe1Mw5gxNVZJGJqoG0wIJ1DXO/W+k0I3Vjjj0+e/d2PJ3GOd++4RfvxttXfHrkWQdDYxCKQ3kcmIfqCCTEgx2+jmTMkgqZDoHIqqOSStK+OOY+xnmY7HTIAaeLTnNRpnHK5YC1a9bySymiAgtXQnAwyuyBy9QSdpBusaIs7ItNGN0fgnGnfzhUVUdAu193lSpYjIo8kkoNY551JG4Tx+T1eV5/idvP++9/+MOrP8af/9evVXO7PhAPcS4NbxcGsgCU+uwJ9vWGhtTUM2tMSoZP2lWwYLji7ZrbogdjgP1PLN/kQgzd64ZNUnTBcJefVtwHy6jC89fvbgOna/syhnP8PAnUsSm0puiTVsNl+4rF+GQ/0+rmTMBWWahkbXlXaj6Ljf5InvYLAUq3L4qOn5AhGrFQ1QHFWtwAgmIUkO5poXauohNzMNiluUqBQQ6oLBD0JzZiRALlbtD/3dIxT061wUIt/VgXGSlTxS4ka8A+TDT+byFa/zdO31ioHizVOJTb1Ta4K6KHLrhzrDBK2JQ6DHS1JKSsgsPqHnz5gqCqLPEFQPRgA9S93WFDkupzuOE1rQ6rYPAxpCSt52HIWjASeYf4QsOKgXWHs3U6NTwaLECylhxkfEKg3ZIFAU/qcApukZJnnBqYUfMt2VGNA7o3wi3usCrFVz2sD2pMVS5i7qUDZRzSXks05ui+ED5rGAWZEWimMWjJT7BkjM/h4tldVVVPCrZf3WvDInCEpGi5Nc05AjBp4JcSUdWWDEQsTVs3iiuSxK/FAnvXVNKI5rB8diyc2Bp2b9pYT1pd4HqehqMYXEBntyD+jVhyETYq6/lpbh5jWB3f43lhk5EWj8kIxFjdleBTuHpStE37Tf8MocrMZAUDqP5uFVxUxdLtNHqOAaED/f2IyvxnjcYHwncnixQ313tGSdwSC6Od6Q4RKazwvu4FNajhLzui6PE+sQToICqGnwH8TvrQqsU9NQwe8gi/Nhi6bfJWV+fbM+AAUbZMpre38eqgXcfoK6pJMQQCwxvKJCI7aNsndaPxbFYrm1DxEA4LvYBgC1rYVwkLWsO51BDQxNIGVv9ioM08pgugtXVF9aBm9rlv2MFFWR/Bd3xjnROxCNrq005mq9nvTBCiBZafbG/mW9hBQK72zYu1IaU9w4uINs+LVlA6p0kDnTLL5dG2GWu1+A1Y+ehhN2lFtO+shZhGCBtQLiVjWO4eqMQeulxv1+2r+PbffXXlx9tPRzyPjy8fXp6vSBaqvSglpkBtvoCCkjjrFHXauJ8Dg5U6/pC39zXmmcC+1RcP4+nNCOZpYOOIYbNTkiyKyZo1oUz4GIhoEq5a02ii0oBU+oCNmIwarKEKzkMFVElVs5hLpVhKYlQHZ9bcmOScqMvp4c3rh8v5VLpF4HyKc8G5fdYCkLSjmr1DiCRQmUi0ulZTSrCYjUJFiWHZHhY/aNyJ3XOGTx3IfHcIlGE/tX6i5Lh32a5rwNAdrJduYJ1qunf6qCAqo9rB5CsjayaOY6bSezthdMgXa5ZSxeNW88BW5HHW7Pumh/UE/BQuJzyc8PZcD5ftNGL33KuR5jyTKR0xsBOVBzmBQs2BCj1HtfRfmoCCKUxAmjkae52KVB5b1RgadjcGoQOcOw7p5m0cAcahSFfLpaoxwVvoxuuYQiSE8fjqi1ePTyNiP+UXn5++ehVvz3jYOGQWtVCRGbdrztusIuYoZZrVV+ZUAbOqbqXcqniUuiDYEIixI7YRiLI1G2Ko1f1IMIhRDHEQQ4InwfhlFYci2LhCmDD2cDTzqYg0HbpOEm0EYvR9FQphiz6ekogROaLabUrIwgpyC2DMGZ6NhKoszsri7Zf5y8tP8cP7P9wuf/iX//FX56djXnWap9LEjC02RSpIJjarY9BTEdZtX6oFANZCsqn2t6DAcg0RK+ofWMUWbaKk0BhOBM2vwelJZlSbpDVa1iGZ7GvNBZQxHXTGIO70CoiSN7OhR7Q9x28CTSH7Yd3BqC4+PdbIi618vqtR8VpXvOiRt6u0BbnGTqmnEHAYI3DYZ2MxBrQcJ5hlvS38kKxAri7CXcVJ7fspwQRPAVDWXUUoCYgx2tDcOH6YiI+m0J1HbvexXLdDHW+rUVpBpS4uDZxbC+/ZTx1Z1aEFBCyS7lDjBm4RkDKwuVY2xSEGHYnlHs9YZ92nhBHolHhjvAt5tILE+4MkMIziyw0IwzNrKKDaOn4HnM2hi6bFFGC6NwxoWEXRTxnmUl0pmPrxKnG1gNVsWaTSeVXNvklEeXBIFSqhQSGJrGSh+wt6ZBZQns7uBs5DIrqPkktES3m9LJvcaudrLVM97VgnWovUomyKcjKwo6LQNinvSVdP5iesLXLR1zmXfd2qwfNeBmqMVB1Btaoka4OKa+t1LxHlhg12Zd57nu7+LfKzDaCazHOjiPv8VKD3uj9Ar3wb7XoaqNKshpywxLbZ9a8hbCTqipAIyyZTbVZ2JWWZurPQW/8S3fWCGrIOy52luVY3NuvjtUd6Ac/ddrjd8PWgcuswQlrjmAknVCKJcs/fZVoVKnyRuUdySRUdvFzRC89MGJsroYBshsi/M6ASRtujOg3KApFSOEyusQeUMRZPNCqL4l1gV/aQ8bWQAA4/TgaW9LGqUk1uGcXq8z2sgokxcLfS0DW4ySwu2GFJ0irR1Kt7gALTZ5ss2+zV7255NhAjZThrd4Wqu1ihFFme7WuhWLmdz5XQZfTBG7kghjNQg56riKb6hHAy072F9iRGgw9qcat/q5rvZ19m4RPIdXozJr4y10txGxNdELq/6ze7ukiT+KCPu2CZROk1TESHSPh9iOzvYUyttf/en6IpZesnhudS2DPHtLZyMnjiWceuefuT/+rzpz8//+Hl99df4vZLPb9/vt2AdofloSr7YtOdFlgVIxgYW2wPW5yVFdeP15f3z/HMsZ2IfNz17un8dMZe03txsobpoqFRQ5VEzaysaU681lBvsZy5qHK2kYAQspjR3z6TqKzABCYxtzqiKvKADkhgQrMrjhhJbKgYqFGXh/N5RwxC2BCxYYwKuFAb4kDQk9tLpWxaehj1UfM/gBwGVCqky/VIh/j24pX8wipau1MuJlAep9jqB8QaLmECNeaiigFTRmvqZBQZUYqMalKpe//VT3bMnLvuShan0meVFN1FgFDcDt5umqnjwHF7yQN5aMvhyFESF2oPDNbjZX911sOJJ17H7n5oD6imoGk1CneOfQ7N3jCVEUxNarKn5BGHl/oECnlAE1nKI5ShZM2kG7ajBjYHYgMRk0rVDBdBvCFqDARKpRCwHZbHlbCdX79++2XsOJ3z3evx2Ru+OeNywcVyaiBU86g6dLxIU9AWGQVhcygHKjGrrupuQFNZpVQmREXEHmPIcsoQyCRQN2WVlJlHpkc/l4MbhbIfnK3+cCmDZEO5jAE5MCrAGCg6sZ4MdgdLxVaehumf5OQ9RpQ0LPbEKmXLsk6WlV+oGnkVjqhCJm8v+On98Y+//O7bf/Xll//yi0MvWbWVP0QKTIDYTGu6YlK0ZocUY0NtJr3UxSpBh1xErEpOKi3bJuzk41LHK1scXQ2r03Mp5OmkdO8kt33+a12LDnIoJPRgx+oCEo0/ua4k0idnm2cJ9uRtAYjCJz6YJtP6lzTAPTAAlGmO/mcMISrQVjzjRcsD17USvNINZZreUHB0cRMtqghGqiqrESfjeWC5Me8WgNY0NCJv123rArDGjKpUZLr6EGAGPBaaBVcEQMVCGF3ZWcbTwK6hpK4u0YeXYYvGiKuThZvyNiyOQM/ZsoBNgIZW6bQB7Y/s+abol9+LyNeTW6rmtPvY925hkz7s6oqILrdIDU+Nbea8fzYd+OGl1wFZ0dXTGMVgssFx344wzxOeM0qikfNuNnuGnHtW+ykMirveUYFsO3bam8LNu0UJCzMgKqyJ8MTfiBaJaaGMvWvcZ/bwDQFr5jQ6pIUK90t0RQY6UF7oMNCyWiVWSFADx9ElKrpidK4MzFlFZYdCdWnSWXeNH7bcWtGIbP+xkixWhAxBR8MCSosYSlTPQbgvS4T/seu9hQFY2aFoNQTQxoBqJa1cIfprt3yrJ+KhQNkOS/FTI9ks5IhADwsxIrtaSisvtGi8liCN3lBaEXbeG/K7ESIGG20HYzhlrVkQOp2LjE0+qKrLMgiowQTU3z67ycJwHRit6/JagdejMVsX1iRGc1JdXkJD/mwIyC28/IStWvSO9Muq7mlb3AALOGCZS/Vx0c3eCM4q4FPt0vOnrV9wPwENMzpVcngpubplwvrNAqCePNSgVNfX7uIL6/hAOP7U37D3oPqcYiKkITLN4zS4gPZJQ1UVd7drhYVcYSgjqAGV+ymuhxIt9KGyTVFVGK7GrS7uiCo3y9XuLHoV9C9xf9jBS4BSjAXrdXe70tC8YIk0tNrxTp396n7ExWQvfyFXn9xteC9ichl8jEuBC1/G6N8JAQl5Nnc4JCwwDN54X48+U5CgIsRRBRXymjzf/uq/+Wb/ot7/8nz7eX95P67H7ZaVJTs0MVFZxLAOL4rgKLJO4lnjRI3cMuZzffj5VrWFSB5vdnz5dN634Ck6oxmBIncpi5Qqc5nspEilz4iioJgmW0NQDRKKqtqqGBXI1AxMrgDGofIMWsghFwcqkWDJSZJ++VGDiIfHh4en82YV2tjllDy2IT1KIyvG8OxSew2GL5QiNErMCE02VtgQYqgwSGXXFmpmMUD58neRbilokAkiE6P58Ia6HJVD1SzLCFDsn7wAxcCW4TqoENTmjQSEogOemYXCsFBJILIrWMyGNecta05V1KHMOCaQmpUpUBlUbNhHXE7jccerx/EwxuiZpWNs2vZ920kEByJihFhzxEEeDlUoZHgKGKeOVM0+zZCck23dSVvrxZxZw1hOMcRpWTgPqFApZuHoYq2leOBAslTFOFCO49sf3nx2eXzaQpfT8fbtePvq8njaB3JCEQQiBB1AxvGx6qjbLGR7Zao051Qyj0rWkXOqshz2U6U4Bbdt27admxLKQtEDu43jawaqdGQl++ppkALOBQY1oqsXu71UdJbWRsSIEudWCNBzwzgiDDMapGwGITRC3vBuKmuohCqN4VJCU8ZrjBcApduso24T8+X4+af3b948/fG//er29NNVz2OeeaLobCeUZ/X4JAsjhggxrZChqg/9LiCiA0D8zxzgi3uuyR1HRDElRZSyDCFjKbAlSuUZMrars39FEEokMB3U5S6avvbYFQ6XYqJtNapUQ95KSpX6FHxI92HN/d6Rvz61BZupwUK65S/YP5tWWvYvVQMzEaVufaLRi84jTHpR9pnsy6NVCEMRRurAIGsI5nqxNDuGz1ehYkpDkL1Q/sphwZRnjcmwnfHkXnUW2VgJtcABOKL4rkfp8qqxSKF3V6fvCT4a2dVb0lZPl5N+ClzPjM7hyP4qhaqVb+0/5dbQTmiDG4KnALSOiMGxqJcwLUE4LQ3N6QwLuotofMwMu2n4WNXiMM7sdgMFZ4+JNtw5r3DYYmv5sh9ctKCldVhGqatx95a4yKW5Oi+lLXta3L8LGjpqfAX6hNa0Wf+B1dqtACZf+i2fIKwOcVfXsKXLM8ceseA4OoV1wZ+09+hotnT3REstQM+kkXAvAimSG9K7Fc1qzbGUxURZhAf9nzqtVZqrpe3NcgccnCSuuXkxRDNr9+5GTfIECY+o5Cr80YuGRDM7ZS6BkFssDbMIbju0gJUlUSJgr7MTGNGFViw0TmsXUdV2DS14HEtZwlULyoOSFma+fpLzV/vcc4u4WJOwFNCgQJ8QhaoGi5sylJgS2zOwmtro3UfcUwtgr4p73VwodNMZvnpgVsF3fDGSw4u/+hr11JjWV7k2iio2X+F0tk4wF6BKA90qKooJpEtfnyvRHJe6NZSWHMcae4P3pB91eUyasUjBngq3DBa1Fmu1bfREvcUhVWh3kHnbA7yHFtZTRZbG3fDsOmwqUj3+2db+xaGtvt5XZRWH8auGZtzf9KI2VsWyDglQOJOLaNe6iNEgks+L3r/dhxlvIoOfaAXfABVaOQRmSNVngD9Cs9Qk1L6q6qup7372QdQiLj85FWw57xzhua64aESrs/vYkzXA+5wY+4IGbrx+/vXrP/63X3y8/eOHnz9ef9TLz3U7ys6umYvpohPrbT4pEXvwdDntpzjvjDj08XT78ciXYyNH1GUcb1+Ph8fcNEMjghiUoEgkKSqz2gjbDrcFOCWOKR17zcrqa4YK1ABGtCscziSbXWVWJCtNgM9MooITzOXPBjWISBwgHx73h9fn2BCjTqNiYEP6AQ+hUAkqZ1XN3m0yF9nXjaSssq5VvXqoWUBW+cgtcHTohw+pQWnQUR5RpHKJVY3jg2BGj/IlLAlZlpRcwxs849WcogdRz0rKOjyix3y2WtYBABbQds6aow5rKLMm5kEwbtNZqwA2gkPFQLE2xEPwcefDWY8PHBwITqWgTRW6VYisqIp2uszKojRwjDgCOVrhLJ2Kwwi7hmLbQC5D4SYgCgGOtOgRU5F9NuemuGnUaPbwYBxjS0ZiXu8KSTGtxq+o8+Ory+tXjO10isfL9uopn054iNOJGFlBSwNYt8pbXV8yD9o9SKgqj+SRysK8VU7lUTZ7QAodJZw2bnF0p6lQWu9vA10IsJmuitXBDk0JYapAhjMQAwNlNaowxGJiRIhjc0wu6eazQRUggDRgCoJR1eNaWUtpLfl2MTDuY8L6NQ1MVQ1pu87n4wNuP94mPv76339x+nVd9WGfZ6DCsxyNacAJArWuJJoH4LCkpFPdaZqs74jmIbIzW/2veQeWV96D8XYZ6XNou6UPllvJIKhvmQV8hEvwBkEa1PMhOdhUv4XGPoMpL3e6uPChJXcTPv/EcDg+2Alb5KqMUiKy56g68tdBNyVYTGuVsFkdP+9yjQELnp0Hs9yPTaP4ArPUQ62GpRd/WJaJvBcXDrhcbRbcMaJQw9MYurWzgqVrGmtBKQVdXGNBTIadtZyY0ek6QCFdlUMuZopq1VPfiguzMuXvitLPyqM4woE+S8fkMpcdUjDE9X0MRPs2barb9SoraEwuhHSdbWLA81FIxlCJykb9BZZHeqk7F/SFLP8D3xqeadZ2HERwuK526dJgKVqj1vC2msA3B+UQHd4XVS0MAg1KFi1kb/96i/wisJR9BfgUDyYtpZBr967Q5Y3WW0hqQ093cG1slXc+rbT3ef4Jah6M0Yd8k1Fw00hqBK23jVqVexBY7fXEVrxn82N4AJvZcTdhhGUyxIJnpTsXQvpSbJtakxPLPFKoALKylKKstPFRFaBL2l7Irs2bFuiNE8OAV2mZHwD7uyvAVoF0mK1jmSE5UJhARUMC3iUQrcdyc1DDnAkVmmq+rrrYdLmDFqrIiZ9UayiM67nQK1hL5kxPklU9CKS7ChBQdO5Oow1hOQ8lCzjWS2MfCT7zDF57y3SI630YhPrpGTm2n5XKKBuugk2dMqgMJlzC+rEEpSEAjEIuuNpaHTio2+EX7Mb2Ho3vrqHBFrf/1t2M6A64t7XRCq7N3j2cUYruiWW8RLDfMnxOUunDUjWwtDNyBKt8ZkYMLGmo8ZZCYyMSVeEPCQTLZBZqHWaIYjs9F8cYfcBg8YdGS9qf3kVRn1+uNiwF8vuACZvV6Kvvr/WVqMX4WZzqg8UtojwGwUq2xTOjpOasGXfLvNi3K3sJsdvb1UQs62x13pqnwbAIW4FLxGGTRHpLp0UmIb2Ml+/+3Re/+vVXf/jhHz9+uM6feX3OfL71S3RHLaA8GbpKUUGJhToPnS/beBgxEz/y5adbXg8OReiyba8v+8Me3CICOX3olyoQrKx0wsWtKpPdj1IH5q0gYCJjM3hOaCoGxOGI724gBnMMoWoD4lbkZM3AsSMTsyqBNDEQwkAlMBgRHJft1ePj+XQKG9EjMOB8MIiEg5dHjNgGJqWNldirEykM5g379UGnBPX7CQwwEIOAqbBQRGHctVPGx+nZeq0AY0GZRak8GYJKIKpazbb7T6GGGYLFxwIYbMmlaooKRjMHhUr3KEAFpPAooo5grzSyOYWJPJQ3VB1SQcOhY1ZGXZgPG0+7xKMtCMXCyGaCc2xj3wRMoYKu1A9iejoLHU9TEQkos0p1TM8qoVCIicIkFVlhH0dAJlJDGDcJhan0lZEqC9GS2zaErSqUQYt6Zyr37dW7N59vl4g4Xr+Kz17H6wc+7BhQbBQqovKWmXMePG7H9cieCAafTcqsI+tWfL7Vdc4q5NRtqrAbsgfGTNWRc3omHKs40xOAhM0IxBovtApdo6jskmhdrl3OtOtMNr8N0+IAenJu3w+DmcIS+2FUgANhhXggAdb0f0NiVEXNqopkHYyMmplz6ih8+OnD+59//Jd/8/WXf/GgMamnUW0hSUhKBrDuSydVsYyvrEPxXhkB0Y3uMjCAeTc1LY6SVsgY3ZNYBuSZjSmBqFY0YBVgPSmmb0SIlQ24ZVYLoqCEZwy7RQw18afmy9BcQyP0jdPKRjQ1vLHwQLdLfr5VNK/iKlVRUdVooF9fv8MuBlDBUQ7qd+nAhgvvAcBozUSsQx7Fis4dFWiHZXhzaJ3+6a/RUgEUDBnA+ln3Sz4ShqXim8tvU3ktlYcP8lakNsaZTOc0qst2trzMSPf6F7TqBg1IppzKhaa1FR2l4Rs5q1Atb4Z/WAFtVzCGg0QX6+YGEhB7wIJ8ETad0SJpmxvbzoD2Iorqo6pNVN1wRmlrnQ1aHWEWQv2cYqm3qz91T1N1/RcLLPyUZEVHuTAcSuyWCOmh5VVVbi1RWtiqwu/XSs6Ea2YZ2RG7PfDed1pjuxL6cKepCrrR9vAeJJUtD/OjXhWGHEvM5dnux9YxWIU1wZhsCTURBaS1UO1+9Ovu9nWtkhZttVBPJUfRDXCBDHJNb71qraLUvsQY7goZHeZlX6nI9B6y+KUaATaKKg4VB1U9K5dwq9d9+yA4y8cJWzvrn9b8jRMlrFFBH8oYkAM7ArK6Gk0xOEIZfbShmUGSrhPzDgYXo4ce9/qzdQzdxkT6IjZlKe8lxGlwH8zSLNk6vAU3a4rW3nX2UjHgsaLkMn1AFqO4aWz2O30G+eWhVlwWyNxI875dLE6M0jBG6Tef5jJazew31tL6rvebA1mwQQ3v4Cp3EtETudS9DBTOLuua3Ml4xgPMYQyJlb0lGUtZ42tlkDGWVg2ebYDSYGSvSURL3DB4H+fscrqQyUwpgQxVsV9FD0OR01fkpF4xdsn+dbfOzClE6988oESQiUSS+jRKBMv0FdWPrrzP1ComrJ6itw4LbFmij3GTk/azNqaI5tRgtEEEEY1409S6/61lYKF+BqjGieUPRSkKA2QaFRtRI7xeQhExJMVmdVPqmMSGMRDH6bqd69s//3Oc8fxxzI/zw3F9flF9vKgIGGWGtJUHR7A9VUSNEbExTmOTUnWddf34stV20rgAby7j1cbN5qsaSmRmEtuoKCLEQyge6IU1CqG4TejI8mSlyhawMTrfvlDMZlYzkDGdojvFIaQ4J+Yx5nXcsok6pHRFZGG4w5uzrrfYz9vpwlCoItJF+YaKgobSSVKQ0sNjZipixshwHGVAOMQqpeESGgKTe1xPO5NJevIOe3nHywOUC1VR0bHwxBgMpJbawg2mZJsBw1K6iigwBYMBrQ/s8vF0ApFitFtGle71aaVAYGCQGhuPA/PlJad47DpqvyGqyCGFkc+tYhdP1PlxPDyezpsQDGy3xCSA2LjbWB670f04aTPR2jkphILF2KtFo8FgTIKBYd+XYaTNGb1bkFvn//rOMILoO9OcKTYEtsjAhF6yrqkDdaASugIzassar99+t5/evOQx9uPh9f7Z5fTqkifEmLWlofA4EjlvdY15s/KpPJwp0wZ05Q2qcdw0p2ZtYDAyi8U4wJJyWJWmI1ZGKZlFU5uGOrKkctKH6xAkMxzgH+QGiluEFuNjlNZtQKPfTavaFuwEAVHkABmNRgsgJkOq2nxq74NFFcUqRlGVOoQZmrf6cM5f3vzuxw/1+v1f//df7J+XRG3AiAptPX8uKqLGvTKFeXgjHA3CGgOJEKFBeQz1XSbRwIZa2QErBTLKEBgMwm4SNBLIVtWLHTHCpT4ybG6BCQdFxIgts4t5PxFfxGKxiPIzm0IPJVag6FmRbmwCGi3X511KCiXaO9m5doa5zOb2DFVw9MQZX87LUIAYpbYtEBEFrN1vEgQQGNn1oQhkIfp3dFmyqj90xhjC2Vowjqkw3muap+wk6pvar4WqtPwDSaxgyiI5ptu1bhDtXkaPMu2iDXACPRx8DHJVtOq1CX+f/KRiqQb9OoFGhj0ajfYLcaVrTsaIrdmkwkISXZSzQEa1Q9sQcyCoEjy+q29R1xIdmmbeN4CofrC0mSgUEQuzDDQbbxjOmZ3tEgxwBIe60nPejIFMuEQbUZs7lp7O5FmHUBn6rk+AbBMcduu5kV9NbNFyEvYsteje0ZIJgXJog0sI2i1ZKFHZgB9dC0RrctKwFQkNp364pHZj0JrSpW0XAMRAz9jlsFqpm5wWGdQijhxHGbwzToDngtnnhmipJ2UXGPtPdAcd7n9WJYmIIWOyZC2tt7tWH/YF4C6w6R6bLfMR2bTT8v0H0rFF6tOppRNzRTGaUZAoD1pp86dSuDdAUNjc3OFJC572Xyd7Y1d1rkFZPqQ72WHUuxOiClFLphee+lGRJSDd5WUDwFlW29iH7LA1ylAiagWmqS8CK8paIQJBTJMRBv6abYhCwHUC6Z3gl4rpPgPrckmw3zJX1V2rF0F/rejDniTWJGt2iVr2MrjdLwfm+bdlV7s+QKla3lg7UlZf2zhXq4U8wC/cJC5gvSJU7sDdU/gxU9XDEDTW8nJXS4UxcwfxoUkTszPNhxBETQlKhA0ILIZv0nC3azrT7Gk5Hsl9tcs+uihdPoamdSnYERVy7B9qKWLd4jjX6u4A8kWojrboFrxbaa/67k0tP/XTVh8V3cv3BRHup7XeX5ERGzd4xH11b6ciSrdI0QGPUdLg8VBTl2/xq3/39Kz31w/z+f3QSz4fLxM29dhQDYd/DgXSxhsMxmXf9gs3hxAdev7xeX7MiCBrG8frSzycLUlzXJ3EUM7MjpeVgf10eV9VKkeX56yjUlN+4xVGXY8sCJFVsJaNIjo3e8H7GmNKN6UwsxK6qQ6qMAVO5hTF2HbE42l/97RHUBMK7ExEwr6mze4JSE7iszq8bPwgq3KaY/eYIY/xJSNCJ9AESVUDvtVK2ZAzfAWoUtOQqspvKgooJciCqGzfCOmAGreZBaZTsImJVqp2sx2Mgd4mopg3KoUMVZRTPTYSGyhVhSqPgyjOzCqkIM8C8J5AnMa2bbqc4hI4bX0VF5C3zNuEkqPE2sd23jcUtkFF7aQLrSGOMJnIQ1I4QKmZ2URhoqgak6Pa6YJm/BNZAaoPro1bp8qUHPQn4VAgejSQhrIvAkI3VmF7fPPuHYdOp/Fq18OjXu/FnUFxi1MEWDpqqmambojk0GbkkYSKR2oaecm83eat5pF5KA7weit5MYAoZlKNrTYki3LlqtJEj4KkY3djMGJHNwsKBncDtIPAqBoEYowaHgpgDtfIj2q2NKgtuRRVMdRDIX0pe76PRBvUUYiYyAPSkEYBOVFXZY7bh5dfbr/86i8/f/ur06EUNyBCwwybFdaFFfhphriRMrBrM8AjGX1TqnoMfTPW0QOTPLXcUqV1Ea2fZw2HWqtIpME7mcsmnDjjCkUy5lJZs4ohHw0uYYWw8qgM3RFlv5xEBeVLuXokqLqUkuUisZC/wayeX+r/SjBiQ9MwAhEOCW5eoZPx2P8LNQBczvld25SAxAhlKzDQfuICR3viunKMhZ+2dARC9wh3fYLnDHYgoIw6uSryWkHfoc1lWDYuzz12NgTxCSL39d1VusM8+yruytBYGGWPaWsJRaxZS6ayK6tAcnTlBQocYTUtOkyk1o8EYE4s7ndfNdWDvuAW8740IioaziPRr9T48aKCNMgoDS0NrDWnEa6RWzYQHP+swYbASv3/mfrTbbmuJEkMNnPf5wIgmUxWDjW1Vkurv69bev+X0lKrqzJJYrgRZ7ubfpjvQFatymISwEXEGba72+S9h43ADIg0rDbkW/fkpIy6mvLpLsFHUjj2fe4/2stUgWgioEi09PJgGIo6+fca2QctRVvWLfky2xOaww7weIBHWearbL4oFBEmzNzEYURAFi5B8CQ1WUwMqFE9XeAgVP5nDohpaZLNpWsM+SPl1ku174HJraNwOndI8s0C51HqSXCVJyigPHd6h0W7N3SvAYVUEKb2eYoI67zcqcvGef9k5wZ2S4WN109CSHFyif0JzsA8x81omrzwI2KGdTDY2+NpYsKKTmPr5/54Uf3JwwsX/FXnGaaADCU6DspP9oT4mBhTKCFt939OmLLGoEbz7dNEwuRqWbXPUQrNQqweN4QR77auyXFMaMCQiT9XIGJhzi4vt26xIFvVctIZxhAheDgC7ENqGsE8gAV6hk97s8ruM08Kg02LVBGw81kt61rnNXHGlzWFBs/b0F+oO4JYcICB5yM3SjZL+cqQyJkjZ7gOS4bG+AEQszfT048mWunI7Xwf0aiwhE6yJNHcnaRo0/CuUx35vYnHZGD7oXYDED0lCR4WTY5ZQMrJ6yINUwwi0rO2A3gZrl0lpZjQY5dgU178h0lCU5RNF3kPMuX9RV3YVpmZbcnVQgZXZeFqaK37ej7e//T///Ev//3j37987s/X++f967ffdz27krrvunepitbvqSuctRTAQr9xfbyuhQl6/HtzXxmB2NfSp0/X2xWxIjvv6ltgMSedjfTeXq/RrIG5ux6qZ3aX33oRlVzkpIaGhirfUcZn2uPV3nQqKHCnnEv4BAq9B/iLM1LXcGi86tMPiyu6uhqlZmpltNzfG/gaoypEdrbbMDmOoZxXaRIUdPSv8SSfuinDB4iBBV0UiVlv1mAyMIn7nhQd5dmINVCoLSkDv0hlJEODpOHYXHIOXaJc6xvaTsvkofcV4hKsFr2rq7Sbe6Oqu2sWLreg9vbjpJL9toIczSOo3dzdpeoWC5kQuThywVahpN1Ea9caLJTYINnV1ArnIOXIQbiJajdQXo4dQpRGhgF5gZfTP50GYhsztaHbJGjAeV1bUoIL65d/+uvbx7fq++Nb/vwhf1gMrlDHvks7OkTUA9rCe9/vjV1okhFkaTdz19azbsW9qx712Nh3P2pvVSlywdsrM91a2SvXoictDTjiZM4Wm7NQ0gh3ikK220JEdJ4WEGim5eo81HyDkbkmnNuEIRPNsKTTNG36WQx5MQ+sKEMHKtjVImq3hBu7n3r//P75y69/+OeP//5//Xn/+GUCuNDOk8hCshOhGD8jOeU4OGLHGoUAAJPx/qfQmNcsifeUWiC9At1orrtEMuRF8XLYoc9o9bxpfr59aTFvvJMljYdwDkeOksJ4zBQ4t//B7JcSfyL6hJEj+zOGylXMa1z9bawKh+NhZzwws+FtDODpz6xhb5Uhxrb4g4dF7pMSRKvBPBmNwmkWzDaAqgm3i8ZsECxiLgFBy6NUcLJrWE5pemHefguHRmQ4lIimVMCd6HAz7tPkpXKMpOH6UfNz6PvJLfHHOpSdlRDTwprskgztQgTK0dme33wYDZB5Guz5OW7TbClOiBPKMpgxRdTQJV7YNrNBe9Qqw4ysIA2unJLaBks8BtXBTbqmdy61MDjugUaD4Q6MQH/PveGQGzPNyE1Pid6TVbIVwSSIXeZK9AyiwIkAM3MXzXaSuw4rHBFnx9spHypvprVTgeDsFKFQOP0Y1vyY2fIFZ9rL0L6vnx9e0DIduzmdPgC6X3CTpmOemAdxcH3gaEuNOc2MSbnpd6PlzswxRmFv4QBzfpJHIuinBvaoyN4NX+uR7Is+4AHIS7syqRxuytOJfFfngee5XfSZ6HFrVDyzH8Q+BOcLD7PQPS8gJIQPHU/dTnyKljibwDGjKh1IbAYBR4rkhRHjEp63e7dhcvnIR7f38Z69JJMuHnI9gDQBgbMi4/VuTIPrbssPgROd3e4O29EqKxXMBR/woQeSYWia6bNfaJb1Gop3Ktf8mRlugZrhwnTOIFUmXoaj9jw0mHXPw5ETqenoNI0NW1Pf4EIGpF3RnJa/24tJ3F+C9PxhTNdgoLpUdnsRYgfbC7cGRDBiOkZRSo45nE4ris2SrdBuzV4nPJz6OPSFVfaSXu+P2GUqOucjDcg0bPhB/MxHmT3DYDnm9PrIWeHnShbBeciYscFMhWGdg7gAY15jQBaTA2D51EVPQXQ20ZRXv2KwypLzijA5XiyRLLO7Js6gNy3s3vn+r//jj+sX/Prl1/5c/Q2PvXc1nikkTdvABdQnxiR8C/r4iZ8+LX+/99+f+7OolZmL+GGtt6x1ITIIiY5vL0ERQPcsGa0ikBFMRHc1PQ6wttTAM6NYyPTjhOVl0LFgZZLfeMXYPMS0PB+Ow+lGQdWq0A01ohlgdbIjVsaHjx8vJiFkrjeHzaZDSoNrYDoX9AxEtW9X7nmUQs1GD/cNKPp0REllcOXJ1aY4FcLZLtFR6NPwYjDjefI8+BNjGihzbwqE0xAtBfGmkW4Ith6XW9Bd1Qqkuoseh6jI9GZQhFAicrurKanYQMlQpjJmSEnxQzCIa4WE6r0LQu9qCGtlvmWORGEM/6TkdS22HkAqDVErMWMbB6WY6HmYgclOOEZEBPyi0552uYXmaiKt8k7KFQ65M4LMRolibAiR/OnHn3/88RepVvLHT28/fMRPbytKArKvQVWgurE37+e9TbH7cIT3NHPH9rH4qKrH/vL18eXr+37frjZXRiazCTSRMR0HUN3+NDH9ktBObLa+0SKWFSFqgenZx5hsJhZDEzBpzG+kGFJ3OX0E1s/P4gyQWI0QI5YlwlWzo0LVfU+b1tWgnhUqSvV89K+/fl4f8t//x78+//IbRS8Ln+Vb5ISUY9tEgp6YeKg9A7ysUHpNAvNRyz3jGWnATsctaiIp25fH3qyGmmmr0XbNaNh5F1A4pQv/sIXW/+tEa+SpfASaL7Nq5CggxgrmB8aBEQZi/bqN/czvEY92dRAcn7MHLnc11GnYcI5rNx4BjRnc5+/0rK6iJ7CiFVTqqM0j/fl4kKE27sOeGWOOAfUEjAg+7TxMxNjO/2EYkvsRebqOUwvNakuYhUiWbAy9UzVKmBl+ZusMPfmz2RNbMe0kT7QNSAbHT4vBCGbvjIUG7dPRcM25Lvx+w07n2eAL9prpImTGBkGcfUPMyVzzg49xIJtoipyUbQuvoPC55xbVcA31SlOl2yPwbJp2pynyhchp2BQGh8hX4zv6G0KFwrWsZYfidOVGUnlwXBzinufs4bw8lLmq8Q0P64Ejkgk/WUTHAbZfG59gvnWgWsyqq9MVzGgxM3MQsmQVdiyH1BGAksMzKcmwNMYXTH7k++ASpBo5UIefqRF1xMgsrLTTS92gIjSE5fi6YVam2XJMsdXnQ6MIhyw2nulhTy9o3l3fsbgqPMI6RfhgcRPFfdp8WAxuuEKSOrxDc7RPMfMz9sjIPEJ7ThIRiCjfp4lEoNg1D3y8HhJADHa5DBohNxmkmK53riYM7E4CrF6MmBR0rMSkSguiKgul75LzVMMtX8dsrSsna0l0MfaeeR/ZkmAlKl9zhY+ZEbj5XfAN996AM6fDQ3AbyTEFphnlQxzHl7MkLdEj4Z5DnHoIzizVIchLYKeTPxIdf6ykt6YSXgQFaazBK+BcNZ4sTc2G3z5oECeZm/OOzEnk7mKeIoMxOKrGeU8Qh4s1xA9tccT4E+AyMU42epwz3xiGHyhvojgcdUzRE10tCSZp6uzY0l6DsnFTn9DWZNEzlWYocjQoIITT9RwVxJk8PAC7CfdYSJ7jxRBVE4ALRfItO6QVQhdUu374y8d/+T9/LvxeX+r+wufXrm/UbpS5dlZ1CWeg40S1KN6Snz6+MdFA7fj6Gff7PcEE0deFK5DdlGp3b+yG1JnCka2m1NjULWzV3oSavdsExvYEbe36OLtdp+ycdrULJW4WCSI9kgc6vRG59+Ujd451RCSyqO4u1v7w8W1ldg0fBCcOFSvQJ72Kxp4HzG/TQ8hrjmNSZLZMhS7fe1m3bvBThJIHTvGUpwoWmXIy/wbKeYHaE2EGOyPTK5ZYQNFO15ljlOhpTBhiBBqlrq4Ox5G1Ivvys8FcEBJIRluQU2ihK3uWWMfAO7A+UwxcV2Qg2TFVKlnsCj09mgvRXPa0RQONLRGLdL9CqO3l2DF30j6MTTXvSHj16mA2VePRhASkZh4SicJ9Io93kBFN3dAmAhU1nv9l9xD6rrvf1h9++ukvUr6RHz7q4xty9UqlaL8q0jgze/fjqclelbq8uKbBgK7dXSUitmI3tdVAJhNMRF5AeiOip1cgSwBjiafvm6qniUvfB060ITECYBKMmFbXb1xOPZh224/7EjronHzQWgTXr6NbqSBa1R79jT2BqNN6NLrvqn7erJuPr1t7//mff/zhX2/cbxFUnBcPsw7bXQZIJDMsf7BS1t9ieuBTxaaa++A79tLWGRfMkpwRXdZSAGptkdVoodshqgBZk83s/4p2PNSrhTJPMI28DsipKXKiJVQSiNSkJhvRgpCKWSwnZJCOI/PPkXd2vlKnvYSYp3Gb6u2vxqEv4hjFpuwATMA8d8iixQgpHNphfHgQteFUrAsuHyGCGykrewLi2BopRviEQnFQaJthMWUwwkxC27NJeOpPjfiy/Wb5LM7RlfY/FE8Ohlgj3gU4TLjDUo52Qs0MM83ToB1PABAp0GZg4TR008GNfXDARjfmQIPxPdfO5Y7znRtyGIs3VXDE7/YbhBDaHklGYDHTjQIHYfEeLtlzyLLeb9RzxuZGUwQry8Vj9BZOFFtOh93VehrIP/UFdi/ORosz1ACMdMeF7xMzp8s2nx9sDcZ54PiJ3jJQ7VliDOcRKMOVHPF2D0jedmbTmIFHNKsl2BSTxMQGU4pgNBpsy7I8008/AnlKcPfgN4E4cmpj/DTGG+1BvofkIDTsC1/IhQdqJ1nMiBIn311ezurNeQBO2/hSPU+ndu6jpxJfyIknQ8EWNeQgw87lEywRMW8Hmxpnuh96ZrTyKmu7jvFlZrA+J7hhakPePcPHNFy22wOa6LMBu7vRcG5mQ1atdexu9mgTjaGM49Z/rLuEOlKo4mSeqFwUDi5ECH5OrPDzsw0/AcOVenx055tm6yyrsBXbJ7Vhb4/P8IHkO2sFHWYugVEQ737VOSYGUldyFJRkQEqvJlRj/KqzZji2myMYknZWw9xHz6OYSkCANQJTRkSN4CgODuB7b4e+v7K0CPvXA6eRMZThzTLOw6bz7TJjFsOYRzvDjh+4F+6CwNF5zS/O4TIl72QMGdGQgZ+B50cvPnYJeenhDNL+6ds4BqnI5CTTnbSEQ7timFlrsH3xJh/kTDACEUVSR6M+GFeGKB2rA/10mXFx8kPf8fz4px//t//jl1+//W0/7seXri+t3X0jEmJYE1CFbpFlpDIqoJ1vzDcgNlr1vr7+XdFYXBfrIt5WX6FrMZ154qCkIord7K5ClTrb+eaNbQOA+/+qQvSW9sqO3sImi9jD86I65tlnV9DSsX1cK9USs1vc6NYN7YSi1VZiBVTVewf0tlKoVmX67lJhjMTACWJO3xaVETPM9/b7H2QkMiKS1oMhmABSaZG0JdwWkhlDbJGa3KNghZTwrfPgmLNaNGWCLQJaYFYeq44goJU9R1zNrBy0q7T86DY7G3sqQSRq4rC6unygO1Rp3602k+AmIcIbHwikKVgoSlJJu7vRkVemVjDXsJvWV0C7a5Mie5dhllZkdU+u75QoAJWNBTa7Qx0mkq08F3oAoIBUHfA0buK3+qBKEU06GdaLHlvs5g09kfHzL/8Ub+u+v7y98e1DJ6cNoMR2tlyo8ai4n6hHd8/mqHI/9qy9S83qqPtZve3lLYJiEhFKxLqQS2gf5TH7MMuSJK9h7nOQSlCs6VmQY+VjzJQgRE22vbK8aYTnrfbpZMuo7Eg6R/Acozngafk7qiEHSZW8F1PgU1Jdu9Cpb6XHl/3125c//cv11/+fjaU+Im2EWQwomR46CLjXdUoiBgSZ0BCA3eFTpuVm3Nkivt/j7+ox2pkr01T6DgCKrRLVzZaleiPGtgC1xzE6+HqEj9EpbB0EYphQmwEcSwSCNJ8RcEgjEENQUWI3wYguqaPa3eukHTGKw7TOEkD3Pc1x3vgfXbwPj+OvJU9Io+nk0eKfiP0xt5lssIImzaJrQlmAw3Iz2i0xB2/13AFkjwI0Oh3KPn5Ag3L0923N2gDXLNjLE0c6YUVUHHLQxAW9o4DeMIW2KKh09Eg0LQHPVF3TVFmC+7I6kQimh0FOtRrZu2+yBrlysd3HD+AKPqCxP9O4ITzqetNJz2MfJLCVOEOb/cuM00qHG1HbS60V6PQh70dDs53IR+ssXxpYqBl06AKBnIYPEBedrUIokx43h0Ka1XyaGpHThUeMK4RBM76NpOnNaT1ImYuyP3fe7rZkuIYZFvxt3A6G/MNsoCZPf+SwOM8c6XuuA9jOL1iwEwc9lWBl6UzSizxjHePAoByjBiapjRx40FxD4cgePAMkwIiYUciffYtmEHr6fTrzmUaNHAEherI53TfzWAZ4Wl5CmpPJcZKtc2b0S08hdlMdMV+4IQzvQJteNUuJvLJCNQJFwFb1NKmI9tTeXmwnjVZy3v3Zxza2dqfVjqNvXkqrwDJMq7Yc5O9Qp6FQHcljc++QKToHrXBwJpTVP16hLihsYDUdYpuHqqdPjCa6gpPDYcXfPOfdUEu7QkcM6HxjvAjSmNNu3suhmgi6QWIg0nD1MZOMQs+HdPsG+EmI+Z4j6BrpIOofQGxNh+ymfG6ZKEdfKFh29DPGABaJqY7Vbl+wpRPMhI6cyjudviadxNTkuKqMQ7iCCGAecGvjzPdWZoNO7Gr0aOU048DhcI1qgUecHRT02tI6VOf3CYNquR/m4aNmth3R2uj90x0W3UjO44eZN4FZ0NYjIUzbyGBjIQdrc3GVpIXLzHm96U//5dMvf/3p+e3z+9f9+OYlqUXo7qjbb0ScGzufDruacX1aHz/OquH7az1/3dxYEBVJfEh9vOLKCKkqy9Hnfoxtdu0T7KsIrAJrV2GrJhAOiIRhK7hmcZxPAazxXaLB5XITztqtQCPNQ48UbZfU3m8qoru5u++7HiBzRVLp+0UHZbrUdKYg7jkGiIvV0Z3BWC67SDN93U/I8TydAJd3FM7oNv8baa5IKSIjPUyLB81onw8MdEU25Zxin6QNIlBn/JlEuR4slSS7uGuIFh5i1Q9pgljVSNjKvDIVdW9t3BptF5pyoPVs0uG1FBm2okZmy4etelesiLUYjLCgnd1iirocdWALiuG1AHTDSkht02kVYEgl7m5ptLk5464PG4cXxI1BelFN3n6uAxWQwjA8xA0VUOhC24yHYvz0h59//PEHha7YnxYzoIRWTBBiVbd2QxX1RO/mFv0QVHKzKqrQcLOSPlUerWdXqQK5AlfgLYMR6VjEEMkkLGlihrDcJlm0ppnt3aUoWiu/c5ArpoUkOEHN9Ph/0BEDmjbhtSyUHKFwmOYfXBfabddej3BcGqn9XXpW912r+/mur78/336O//LfP10fL8xqAzNIN0PhwIx59XzoG8w0pakDufjYajop1rA1us962D4gsBU3DUVgImXjqDMQWwGhGtuuNJehmRin229LCVtHqMsG1AXbGwOgkAZhfJIMctqHqnXQY79CQU+BoNKq0PC+Q80AHKEYx6NBMs5F9sjuBd++PN58EQNoiXTipwl4sI5LNyUw+oQEGYj16r6B+13Sx0l63njLFY5DqgaVZI+hegSu1nAc/M4weQ9wPYMKGuoxmr+0Uf7h9LepmesoM1GCCDoMw3f/FCjLn2Y8HVHBqYVQ9Vxf/x5vb/VdHzqdgxAvm0TnyKNbSNdM8CBsySRmmqOP5mrTtG4jAsoISDmXJGaiylZ3uP0agmNwZWuwTcoYJWA7X3TqK4EIxAwPglrs4jZ6jG61aRyDJZImXtFuAZkred0AfIe5q6nQ4tCvm58AAQAASURBVKGfDkTRRzIybf53om364VMcKAHhkBJxvNmAziPEaboMXkagjB2EwiGgNV7bAa4zjr5O5Tia0Va8msL56CTyWIr9hgUw1nT3dwdMnp1JPV9eVjyR5wLT20XmobJmG5xjcDBOg2LTxvj4drfUZYqHZqkU81D4TzXohrZb3VEHFKDA3W0Fcc9DfrgGCHu6w38IPnbgrmKiZj3LFmcLmNEFf4phbQ38yUFDcJ/fUo0GjwYzYgp2sfVaXjhJOxoQYHqEHrHa6REPL+zP3u0H3xKUCCZkQsQOfwxjodfqDOdqR5vCdxucnLZ7LjNG0GTo5oDS5Z/g4nSGV/8X6sAbsnTfpzfZKhnH09wcZ6VPdw1aKANO9DO8TvhQvfNqurN1FKg1QVjk8V62WbbIQ6tGH8u7376RG8jCSV/WM3TIo8cM/TongYwMdCMIlSmYjpNdAJRnDId+o2OyxMPIngZwckTCDKc+JaFuD/pWxUIDKE399bX1uPQSNh2N4ImK6jObzdtlCnN0WTOi83iOvaQETSai71pX/tt//fn6kL99e7/3Yz/qfXdFd/OqamYbcmpzHcbbmJnrTR8/XrgUeKLw/r7vBwJywvnbhQyFwSHckxAujf/Gud3IHl0do5AKbOD2Vths+I+vwV6EyEbEOeFBJVDHu2QHnWSnSAEIp4EF0UxWAc0uVrMrSo4iEjZD+wBky+NYbIvEXF1ZmCq7Yf9ddRRMFJArO5BvK6ggrsgIpi0Bg55w7k8LYTohTkcTfQZFV5meIIAAvDTLj1GbgTBGLESkxQaTBe5FjkWDQ1mtSSPrDiUJLTfiDlYRmkX2jEWm1YHucLIzWRuLTMV1stRVO+6bhdp3Yb+tvBIUtcgrFFfA2ZetLsrwziAyk5PbDe2J0lZ338VG9gjcoSxIlIxu+MiJRCcyWKhGN6pjvEcBYpY1+QA6DRPI7EDUfd9vbx9//PHHa3XrjreVeS1mhgbnjBCwCewq6XGrqKrWVrc2pdgzs3Vs1V3ojVZdcAsDTHsb13Xl21uCyyt46cacwx1JwgZdKZvutN5wWTFiXoxSzj4D+/bdtr0YefiYMF/QQ4C2BuU95JMY5iSjGXkDKJfoDd4wfNQAbvRzf7tr69mP92/f+v3Tv3368ZdPbbiM4IKXERASMS2fD7zJUnHMgKYntNUEhwlq+0kCRA3+Zg514B+fAy3UcXqbHYnGlqopsYTynS/0RnWrOSigIBxQRoboLXDiCLmmBvmU92GuJGECWy10gmUZsWsCZIoqeKbiATza2LsGlpuSizbmO51DtP0daM8SFntiWLr5MB1e0CoP8abTCUwAkiGh9ng42Odg4eXqNRAmEDHEvZCG1EWDpzXjzmggNMk07iME9cwidDNbGsqCsGoYpHg2wsExMQHPtoBDEzEgJedPeryXKzncgfq/z70yN+SbxFe3YAPlK41yFFz+e8ezJ3bYuFz27fZMC54wkHYYT+8+sh2YwlVr/McYf/L0Z76BRq5dQeaSdQDxkpga3tZZSecNEaNWQhMW2ZvUMOgy9vYRkQDwUnZpBDbTwWvaL5d0b9gKTa3O89hJo3pRNBxROgJqP8aOoPe1HHHTZDKi6TF0SraTL6y9cHinKMXkTziWvHso2KNbEsmTaoRpw6Ylb3DiSoyE+SjUyJFYvoU5k6VblUYczsGZAu0TsdOX3sM3YI2Guka9iGnDxuE1seicFoqgRXy+7rLerMTZIRCD8Xs2UApm3N0/2wsVdLDqLH/F9ErnNSyiW0UtpuxKs+xwdq8C6kmf7WCzrOWGRhdbtbco2Q1o9OkUbyuMWOpJ+AyyQ809RMCLcWqg/Hw6+mp2KE9yhHjQa2+Dgp8o76xgeixLDl4OcANb3GpRkUKwPZkfcvEcBj66faMLkLHmNbMlJ0kI9HJjE61+Qa0yCQVjEvfT502enPtwhG44U20sD5gQBXZs1e4CaSNpJhLIcNYvnFlRYrEjmSHV5AL6HVDa75rfUYQD2rvHd7bqYHE++WKA+DbBgVn7YAgfoE7KqmRFb7Q3OJokMQftLC4zxpTC3PhMOT0FnQEwwsCz2XB/As9LObeVjaBY5yPOdo1ITF0jKC56VTtjGOmICAWUlkuoLdS7mGjeuXPtT5vf9j/957//X//2az3249v7u77WrQo8LyG+vgVviOruFss5nokgdO3ruq4P2dBWage/Vn5ZX5slJfUh+fO6PpLcqtKqyoYKMoS1IgOUFrhEJO/Ynm1FoBNdyyNblha0ROxjD3WFL6Itk010KCAywERc0NXNrWxcF1cu6rqarMgZ0fcu9fNRz0Y0E6gIXZEGHrBDFanIAQsZS1xEPJUwikpgMxONdrpnRIw5zdLcEDKwB52zl0QjCW+9RFyetqNcJilles47WVUugKMVHcllw2XZbE6FI/4CXXItirv6ljZZVF55+YUFEZz0eOMyGSE0NpLNkFKI8IET2XFf3u+wcSs78BCq9JYZl/jhDdGJRQaxlRSizyZS9CBQhCZRsVGN3iFVKYAVipOkHxAqC9G2IIEQi9kbIaSZRL6QOlaYLE5UP8Wmyl7RHWxks4FnsJIfrmsxAdSnxQ9XgHex+xr0JBCxIUpbejaflx5kOdtxNpHvCp8m1m+wwnYmDB5Bjfc23jKCSvsWGYwyJ+QDTI2EoqdPoQRNeKfT11KK2DxcqItwUCftuIVxJ6ETIDZau1SoxoZ6ORzGqeFQdpjxu1Ti3rR4qwPFvPnYnx7vV9+fvn7Fs99//usff/n5j1tf0qpzURAj1BmNkoylu5cKZnonCaielE/MqDcyDMwBxHCDPr3DBFrBhZg+LgWxod2aLEZ1odV9q3oA8gM4taqjhHZwo2SU3YFMVpI3kIgewWwmp2+3KgbTgF6HV/D8iyZSleB4cEduP/AV6b2imBheg8v0SS6AyInJo4CBsttbvUl3lmSykRITyXYBoOtrm9vCKPY5QKrOecAcANZTblgESURHi5En3M6ws06oSADuHetgz/54ICrGFtiDxQ7J0zMRyKaRqVmk4ii/3eF7IrHzH/YiS0YUBtgHUSQxeUQHyz1nH8QYRZAvqX80BrKcf0kMGRFBoqM9+x0N1XYMDnFuCxa1oO4yEWXAt4tnrYYb7UMnzMM4PK8lC8KcZ5rYyrLXy3KeqcNSe3WhlMnoyDSAOUsP7OfFYNitHrm1BlIkTg662Eo/F4b9guHt0DHnvZuGl5iC0ysCk84/OgIL7SYapBHldpjg5QkkmJwr1WAoxAbrOK9gnJce17xxmByN9BSr11gSToD0ozrb641THEzYUinEYPBnhLbNYzK4ND04hojyAAhjhxz01s+NrXjjawbcQBPpm8fgdNF+T5pMUqyxS7RmOaqGUA2ZCRpBl8uLAMTGGKfMWwyfLpQaXSFgLCgYBb4fqHnANek8GllqZBKq7m7FcSXPHfW36xNjA9MJUDBnHjkPjUzMQt3B1xN86iUmdsyfg2AcTcNci1fW0ryE5qumqpqMQ44FY5ZLuzId9c90WCBYrfOrTqj2144hfTToDrJNq86PaKEcgDEJo45mn+IG1ME7TnH0M+fjohGMGO/PnMvBQMSiylgRyUT6ZRvQFrNaBOZFOBxPYAgphyQNOSaTNARtUIjwDOWlhBOextdn49RDN+zSnNgeX7wRQPOxXYekQfVGqOqXidNjntgBYrz3OKjNqMRciQw/dENOmZzZz+GQB5WBA3Hh6W4gEQHBROySkutCFvTx5/Xxz2963Pq2+r37Vu0bau9C7Qzs81iPGCqAROjtY1yW3nQ/bu2n+i5GAwA7iVjKxVsF6Ua3+ohMhUezGljMUqiqWCoBKq+KTHp7IHsDYEaOFxJKSs66SWQgmo0cjZKBdQnwokoHaoDeMUSAqKCCiu66sRt391OqbIR2Liz2xB0Kvako5UpYgqVL5aUKQAQbxUbKvzmNzixyvbg3sKlodu/zcQJhD/dgcaKalX74ndAEAx0VAYwC14AWT9P5DyR7kw1OwpTtpO30JrLh3Z/WVPrxJhOxkCvBCLB8jdVCd0y0UARLZW+EvDGouwt7Y99V4NvHvIi43qxG706VRYlAexeS1xpwWruh8JFjJgWJhldalgLmmidcigFKWtbohbnbgLrALe+a6vEGnlVDZtgEKrJbig5uccW1rs6uRy8lg46kKluT1dD2ClmKe+u+d5eejarmttjQgQUdEujt6AVcYkYAy9Wygr0uZfJaTOJaXnizQAhPSwbSYETQ8v0ImvEUHTrsjmYyDmZlKjC2y/TYHwj3CZLjPACIBdZQSN95QXT5dHUJK6FKdbNb1fduVu/H3jd7v3/7+vXbn/709qf/9nN/MMkIYoV1jstqa7pMi7QkvSCyBnoKeM+jDlVJBdpr/KADmxIM1sFidbrraoNWnrdGI0/zPero/h7O4VK8UQ3spkWfrd7duycSyGp1Y1NO0mlfran8Fm1YGUF/arce2XF6g9Hm9JQSoNODnInfaf4ZTqrTtIPy4HVgesNNkwom4+9jgShQiCGLpi/3hY8ejmdkYsVDxltwjGmuhv53IqGjaXxCBFIZw6bju3gZMl1hcgM6o8xw8SMUeNUYBgOu2Bq7Rkyb3QeOeDEW8kd0D8JI+Dj2NyOnTzK2j5eiAqAYSFgj2xOeIT89ML/vYpuAqZWRu5umQABKvyyB8EtCS04YTFtQbKiz8VFD8CumVXRZgsPoHBDiB9V2iKgQiIzA0Njoc/UYQQQdGODmGbOjCEp7tKVGY9D2wf8hR+sNXc0Bay3tmBjyl+HRStaZuibfDioZ5fd5DdILZ3EsM/NU+d00+zGzrIdW5y9bjRFT1/kapkOcOLZTbF1u/BvU1qJbUsYywt4q3+GeF9CxlGz0PwwtVpkg1PW6CDqyAT97NNcSJhDMdtgTAGI2Zp9AU4m2eDYPiTDfs6eBanU0DZ0bBR7tjSEfvNTu/sIepuZOqMvz9nD459XzM9bdVe307BlgRPo99Pk2/AEF9ng0wiBGmAL2Thb5z4iHAtCZHmccxuApI0FkwF6QMz68kAgO5cAIVk/rf0IRZfTECimfXkdqT6Rw9m1a4H/Alu/RBaM9JybFcRIDAQ3pRB+hRqo8Alu5xmhrnew+B/pYUwlAewpXDK2DjiN3kwCUPZkSens9jc+syb9SA8siUmuRHaIwQ7yHOByt4rTHUw2cyR0cv0gkBLuiOb6j/C7DwfdRBNjkMZuNabo001DZPuZdtfDzCpWfC4bZ6TEtDJWK+Zowhz2SVNOu3i9IL/l2b2jVjDDEM+2hUNPcN8+gToyTTRq302YL0WtCsXPzXv8cH/58fb2/4o69qd21pe3nCxvdjlSmEGGvPreWcr0lGaiuTWz0XVISWY0A1goqIhCJVq0G1OyohqoiBDRUVc3iCgZlp4xTDIRYyVzwO4xqIlPwGmoayFA48UdycINHYPvYgkpxA7sB5qH2dYerBar67tKz8Ogq9rUyYle3gL5SdneKJW+k2DzS7LkJ3Zxo2bQoCYHIwGD1GWmhcGuDnG1IlEVPQavwkALQMyEb4zphC1x+fn1DX/mHJtHnqPQBiDnsCE4H0mwliEKxIlI8zWVEz+kh3dWBMteEIJB7A9W7g1wu5K4JG1LG7mh25QKXYi2utyuDd7ML6JqoKLRauzzxDekBlYlR1/EQq2qMis1QM9XyDuQWOhCZwkpEi0Wb9ELjlwPIDK5jcCdktGFxK8rxObC1Jj9cEXyiV75d3LUbyYbKB5/CSQvb3uFvvbdzIbbjIHa1eCAgGZ2m1yyTVJn+y1Rf0WuRkdeKYLqFiFBEygWv5CQ6i0I0klymecFAYkINMuXUUIJ7lzvGaYCqdGQo9oRTODtpuwAvkJvq3WRHb4oJZDAr2GDgapUKu/l89F349tuXj2/XL//tbf24d9/QR9qEvRpW49kNvyw1EecopQ1JEyLigCqyCwxFZHpS80jjhLhXDP3UNkvnJ7/WU22fEMBSF3B37+q7UcIulmZniBUeVV2Fu1XU1u7S7YivGizK6j45WsPiQbGhwkZLhlEw2I5Ta+Ag0bbzdgeiu4XaHIfwYKjq5kDXTvlxgtJErBDuIS3OjXlF3bty6opU6oH5zB04aXHKf0/GIEYPUG4fQjXJI45QmSAmh2oIHa9NMaeVbfIfTaUSvOK98f0+HlCT7tFAbzuRM9RjyipH9UCM4w469VbhNS3t7LYmMNtr5/9MCyZmAjMxSIHyzarpWxuwcPCwDbRH1umxrBkO3I+KoHOHzaD7b8kJhAmgu5unVzImA5zGbURUGogQUrKCZml9fhGYKH/JUvIa72SprCX2uT+HMprykhRbjwMy6tHGSYnvAKDR4LN0kidnx7QaWH5yNIecj3hOa+bnxPIFP+JjqnWmqZ9jHX4r3TVh2yXDppPdUyNoH/xy+grMmxN82cLRZzicQWnmfEryTl4DvTRwWw0HoWKyfmJeeqvpiMnuGu3X8Cact68JlsO86HcSp/Mh4HhHD09efDYBGoPAWw/lH91HJd1wMNpI+W2VaZwn1i0YZKWCEWYAjrEjRljs994BeL5uJh7KGpY+EjM3674p1mDEnNvnNBys3C8CGy3HNPpZPWn9Xugtv8oDPAhkEIFEBhV5gqC9ZJDoURCjmxOTES9JWjmoqrqdo0A/uvOpEJgRFKMmp88KEIsZCjexayQuRhTdwE1rI8R5gr6/qi/YD0C0OpAmmem31ZSzMQq/OIaAGQwsCyQdAHOaeVo9bNFtih5jZnoBFfTsGmA0m3qZEeJ41zhcTPDc8dnqYtJZ7Bhr02BVZ5/2YHDzwFFzVx2WGIANzwxvVBVPjrdvuq+0XSHhvp6nqA8UdtiAnJ5z8o7a53/PGDrQJ4AheVzCusOrJXzGxGRuQuxau7hF8qIScf/x39YPv/R93/HtTb/h/rYJ6+RJbJUkViM6VF6BDly1PnKF1toQkuy6sbG6gnVdWowspcTGc+OuaDHBUk0Mj1JKCuromAkrol2bFnpFMcFtnAzlScoPkJO2MIWD1Yjtqu6Dq0d8yI50C4tmcM3YhebuurufvSt66/62sQu2KKzcba2/h+GM1VRlflACg7oN6z83NQREMBiLQiaYToJOv5SywSDIjkKSqD4UZAN2TM9BGEM1m5djJ1dAQaXPdS9Z73D2QMNCeKjsIUEFYetbWFyBLd1l62MgIlMZF21TQIeX9WpC7+QW+y1llMoIW3fBmU25vai4xVxrXWZa6qaEQlJ3qBvdWAJLXu/FOimABNTbXEAgStcMPiRHfuoZYVejO/pufyoyi1ntLYWJ0AYwGlpRQHamrK6urAJJXMyViEwoV2u/352RK7SRWsvYsBXNsxwWu7gL991d2YqajsLVpCQ0alCggNTkDqNI4zVRxEDkyEiGX8r4bgn3i21I0ENla5JSLPcBkRYvdISozOm+J+k2smx9Hxxk8DOLB5IuYqYKgoc2aChC6qZgzwSjSxsbj7vvrfv5vj9//fm/XT/9S/RVlyVg6SDG8rFnQC+tZzt/EV7FpSmELVsx39Sv0daIHQwmGWTyLwuYBfaBOFIgFyha6mceqWTzjSF/bPBuFqI6m1GOThXUUVaUSO1N4C0Jt2HDrSpVa1dXmS114q3BEowKhQcNJJlHxx8aWs0aFRjwC3e5s43H2JT3h0UMRxBTYafoH3yKOIH/CM2eZP/Xc1uJs6wezghDjIapgRwAO213PNpdjyKAV2O1pwXSYcKS0TFjaG7ajxRgoGUr6S3Y1tzDOKDm5L6HC9GkdTv60f38jLY00m8pyIAP4UgATRLfkSJ4RjoNmkNOjsKZfs98ySwLhwG+mXgEMifbJfM0lp7h1MYKITj3E3JzZxx6uhsRKbcB0543oE6djjEkL18b7an14hhxRAu2aMVkKA05YbYco6afQUziKM8NJTjdJM23SsmJm3ULfgr3KPFmlHOsgKUegP/4UKEsd+nTbPt/emqUeRMCDc8a87QEwILkiKo5iWNyd7pdRoUzFI6UwL1cwGF7kwvm/IZwUg3COgjDxvLx38Lh9jR7GtwkW4s1yPwg7U6sAThZ4TYRn+9FKwScNuOnzQ+KH6UT3Dl5TzN1x8nIcUcUw9Z5yuhJ95+CcpB/AQaaZ/SdKmaQXUdn8rqnnpLkELYmS46zRzjwwE2FH8E5IkNoWC88RoZ5SivgVJCGwNljaOWAbexxcHc1x+Hi2j/cm8BapCdIr2iMIPuFeM+36WjiiplHOymkf6vPFThFgqBGFksynKwVp5MRMHEFmmPdwvuToun5oDDwCHmkwo5E7CY6nd6cM1gEgYErlW4SgZh90QYmgO7Z3z0pQuPmdoT9wdDtjhJjZWD4IE8pZHwXc/mEsLF4SIiBMfxsHaJYPpxJ0leqj2qSPe/AOewZB6Xo16P9PWtXwy7DLE73AD0xZ5IfJpKO4LRXgE5RBI29xUFS3Pvay8HsqS1OvGLb/INYodj5ds/893H96b/+qX/41vvx7Z2P3S3sba2DvXElA0UU1ChOmbky31jOQ9rYNzZaiHKwiZgpEF2Iza7YZuphVM1s6gJU2qPCI1BRbgwXsZAJLmSPSHYANTIZJaAnIgWLJAph7GvcOS2sSGVVxxulZdLgO4Kx+/3e73d9e7w/+llOAlxZWxb1F22f7o7s6PT1U+uo70xUiWLNZkdruMJ5MAFhy1UPEthd2IrpNYeIBsHya5YysOYyF5mZZHtzcs7TzokTRk2g+vHKnjqBtP9Wnb0pkzGs6PJzklCZjyaY+LgioFJ4FxEWYVidgNhsVKvcmaDQPTuMoFYDQXX2hqTqyE6A3buF0u4N7pLU3VE+3VkkY4XgjGxYEwQpIsrNamcmIoVCVDiWyxG0sF7akEV6fvE5SopN87URHRWBQnAzxbdAdHGLukSxDEQDU81noKcKKmD3fqiUpjLa8CKAorvPPk4nVYOIDK4QEQFFdGSEYKGZg3hJOKUgTtn0iCc0donKHASWRukRKJOTZgwsGfRNCTXQVziid3aSD2DXSm9GIY3DuW0viwEhNW+itTvRsbujlHej7n4++/OX+vY1/vBf91//6x8iskXggrqkkJMaTK/BzvWh5M9fr8EjTtHW6XaHMnM7Mtr/8xN1akWoHY4JQt1nkU61ELXpScyLQcrcs4EJqduuBrTYHXujd24HAUjV2N0bvb3xWrGdMUq244aF3Z5sneOC12lZZFP7zAcRcFShZllrYk79V67pQDGD044kCOUfinDeOSwFdF8wyT4lwLre4Yln/RLRSg9RaHQdDcU0KsS0bvbwk5T/SSFEQWRYCzmFxE/ugMdxUOSpf4IxJsOsYYRL3VLPZgg4MY8HR/e99U8KTpdgg+bgw4JdQfmqjMYqrY6aV8tlMmyBCPjJnfR5ikoO2eLiG0ctMqBcxNFGTiuYgNU5L9OINXwDb5MqtMboiSDd9Rt8VN6QV/jZZdiucVWOUCpgl7P2qEgosMmcHpcCQjFoxhlkD45HaGKTrEJoACyrhOSAnMHwTWIDs88KEL3Qvd0kO/VgxE4RPv2/lwjMyGCmelQ7E1NlbVxI6Y1+nkcDnrT95ho5YETI6ht/MsLrbgawY7dAzwfp4a/K84tHaXseOsNeAszpcWA0i49mvMbpST0IOIjIza2/CqFRcnNkOxDOCwXh6PgiwooejPvEUNosCCFna6bnERIpqkVmYmYp1+B5oMYaM+GtL6bEUys9Ih4ayvcEfh4Fx0kMHejPFAZ4cxbndJjpQAPdfUR8rraW0fl2ePww6NABMhURCmY0Ijyg+NNZKiKTQIyKMamVYxG/BylaLeNeHopJWiGHcPDaT830ie9HA04613jsTQQaCgKiNSbtw1ch6F8jOPIyT8PqOkiKuxOzmIzb96cEsl9+ZoBChnODeq484/AP89tyLtfUdqiZtOZDljETqJF3Wtc4WmzjLiWVRoRyDPI8YYqkrcfTbMvtOp1nFXPcedrBTC/WxXmOHGqGUo3+h0DhtZDOPVxHC+Nj9nVPQ9fjMXDvaGU1ZqQesdFUZXeVM4JYFH5EXREIssJXUro+8E//9tNTz/r2uJ9VN3d1dVdFi9gijGEeBsQHDrWSYZmUT6WoflZVJ8Dt2Ty6u6ANh06xo0NdHdJuaWNv6GyIYJd8lC8G2xLWJa7OlF0MLRWL3p+dr8/VgpTpukl1TEicpmKQt0GJQHLVsgT//X6+O37y1n6vwlLm7ochcHQnBZUMOCeZ7G4jus7sceMyRL7F6ODKS0SiyOU2Fq3y9DdedJ650Y7lxjxd8E1Ngal0eJQxhhFzVKuazthk4ZX4XSA1Sj/fD1i/tJIro+BEzgJE1CISVm2gi0Hat5bhNRnY3sHYAl9Z53g+UD1Z/D7276793IEtxb0Fobh78x6V8dA6harGVt1iTY0bvXvQrmmxL7Qd7G/Sqm52IGOqQUfHsrYWgajZHdsNWRPOILCP5KC0OhJY6IwK6qo7nk9FxH7sKnR1dxWwCWFLXZCjPmH9090uy0LOBryAosvBD7OiAODsHBlYAMHIbMfZZUbEhQjlyrhi8N4Eod3V2geUQkCxXIRFW1c981NMZNhy4rCnEQ/6ZTRWka30mBSpPcAXXyO/4LfFgfEBQIm7VYkC70J3lx733sXHb62f/vN/++//fF2UKpScVuCDNfotJ91WOEkZoUD8A1ns6uK/9owDRm2n1Xd1sXAfJ0XyTIKJcCPrr+pJVbDoV+zi0Zo4kF5sFNSFiYYRGNh0Ra5yX67wejZ/Lm2TvnXwa00ucp0UitK4sKdjSDR3oSeiSjPVuDNsK1cCYI9CHI6MbVmwrYMfSTMCyp2yS0GPmoYOlh6eXgKCJb26HKaW+2GEa98BSBuz0rfbi3No6xdfQGhbPRBCHmiKHFMH4IIeIaFkZcf5sCBGyRbefNvQGL3N5Gha/ROUeIQnDAmzSWMQ7MkKtehjNMNe7emf0ArvbSEcvukeEqRYLoGjHAsv09aR73oBFEDlwJ9+Y2SvlADrzWdk2o5rNINs5RNHKjNS/qHVHT0FqsYLPrlWrv+Do3h8EjORzNTQDBObPSZgaAu0LiqOPH2sJMeE6HS05ZcHUk775BmJAz2+mhswYIVaePjwfR0VDI+K1NXDTQwVnHobZtZtTwMR3n823rIRN/Aw7u5d/FeMeodk70G/5/0VyQzvH5Q7ZJId4awGzU/CKELg6YOiw3N0jovh92XHiUjN7DXb3IbEGY052g1lv/iiYdOnIs+/Qtu/Xh6QJc4Ew3PthjUcwm3MbLumRSzfFpQpDEiDBfrpB6jRb8nJ5AJwlo/7URcgBtRB7DgCrIF6RUYcIJozt3IekjFxUESTa/52vx7iBBhqXrAzohwFDfy0dHhGOmn7ngTTIry5y4M+6pXum85cfCWKIYAMB/BjcmMTgqKLBovldnlaWeloT+agm7EVzrJ6haxNmvuMbXZ9IL23y8AGXkxEeyaCzNwHgqjzcrPNhgV8AQQry9WmqBTJ6ER40Ga69e4eLLEAZ/9Keu3a8xQ4Izzq8JdGP2CPoEB4NeexnfoMP0j+XFqZsQpqaHMm2ocXjn/D5KOXoE4S7DCZc2rHKH2k88M5l8XeJMMnHjpJzQIepQDtkpHqZrx3ffr5+uu///F9f3n/cj++traDprotqWSSdIn1ND8ktfeOrIhYnRB3COoLFQ4F9JDU4AbLCbdNIYHIDYNtZDYoeGGB/FgF2FAsOSGL0Vyg5S0BG0tF91+IND1BAA2LQ8y8tjz2kMRVWpkLuKrWDjHuXfz27aln9fP++kWfvxBxAd2qW7tEy4yVicv1PPcyEyUumKcMB3oqCCYxQN3CFUxg6VDwUqQJpTAvBUZJI5gjRi4nich0TU91G9xfrnsDAxtqbRBplxWG9/QZHxYnRM47EB1ZgWp1klcwViOzmQldb4EEUrn8lwDRwGZD0WfnFsrKyK7Hc9cutIQlxu59P7ckw+RPPbvUPUkurdZLHr0ZmcH2y0kJHZ5pGmLnsftEBxULvIoMMZCMdLhM5CKjtTaujgQun46aTJW1Ou0GHhoxqFxKNnfdu57Avp4pkaVo0CAgFBGufVARyL2zhOpqm0bKIilX+VCgV0CdLaPyEUAopUWu2GQlFQuRSvsAiPRpP5b99tY2t0FdjRCpZY3bgmiWGPDOWoFqJ+t43Ag/C8B0qelmpAIdmdY2MuZtopwHALsDjjVOu7bYimiqunFDDz0e+Lr+11/+9z99+uVHgnAY0GrIgLxhVZLGsssA31RzDbyFxKtenHcwYmjfdP+8LEqYLgrDgrVU5nZBB9YN2OilbFMeLTowRqpm0kE1bqdVg6GxFUBsoBuq3n6F5tx+wecjb9jdHdgd1WqhC3tKFlvwatmWjnmWhVJ3p6W/8wsneRdKWj5nTFyapB33FAbxY5hmw8LT6sXscYJjTdpiXM8UKu/EcDE5F06wzs9cykR32/Hw0iaQ0R0lYLY3SOfbzODqmSw4gkL3aD5r/JyNi9lIHaBXHzh05fRiA4piipJR3okUg0XaB31ctgFaIwBAXvhCN3ZuR0YIcTpBT14tNLPbPS3QzMjJYKKH85ESH0gWIx3x4h4ZHdJMMocNnTaDcEiXdT4HJ54xzrngJUxvBUDt31mb3qM40Dfl7RFGukdIMa48vv4wza32WCbPU+bFUqLUm8TxQ1KWoXU7vKTVge7dANXp4JCxGnr0EHH2sw0rwBnSMUMmIk8nMamWOOs75EFqAGMdi0iMrn3QbsHB3OWU8QaQPGSTow6OJuM0PwBQRXEUGu6sYlQdTTZjuqoZamKGIfc+0/2RscK+mwaCqDSv7NAjc1HDypEK1PANHlIbtu60w+S6NdFebYDCD9F05HYL+PAgpT2HHmLGLZIMHguA3xh1oAs9QU4+lKEYV5BFksXuCSYrSFHtNSGKgFTTl5ffrJHVYURv/ghudh2lNinigBz4Y/Fto5sWMI7spwtn0H09ylbQDZYdwFHwBeikKE8SagssjuiE3sIWq0bOYrDHfb3c4g9mNeLJo5v3R5Ei2CMkkp8rDazbQ0dYxDZz2sQUeSDrUvdtoCMcAAdvMwkQofZSaAkR3BahqNjNkJ3JYCSZybAMjpaVDT1iIWRD55SEr08PcVp9YCKhManxxsAOgoSZmzGnLUfxAtR5WPy7RGEMJPBJ4XsA4BwJ6he65Hvu/tFPQ7f/5kEK3R+SjDCCOSwUOzqXMtAbX37488c//NOHfX99L91774d6362u+r4EJhQOCfP4lwyuiAsk3PhvsRCF3WWgG12BjvO0qIHQXj4XYucuJ8awQ2ooCuPdjQsZmSvpvowW6nWLBfM27IiyJqXBVJXUwQjC/y+7LxmVS6RBUpDMzAsIKKv0fD7viucjvnx53HeX6gm1uMtHcXqThgr0kgwbGjOPkM/ghJ0AgIhkJr16qGlCP7RQIYgt+4uCLahnUVl0I/09I12jZAsOgxFUWx7rgU1ijgERhZP77ortYVKAp9kGoyOUZCMySQTXiugFkmykSjvXVaAWnQPRBJQRIrAC49RDVDspg/c7d7WwQ9rPetzdxcddraraz65JG+AkuLIVJwAUQkyL1qkjJAPIMntsbTJFIukGW1eTvZZwiTlynQxuHNnLBb0Z+YC3NCnFaCwQFtR01+evj/fdhepiPVCScVumG7JuJ9KBj7sOHWgJrrsTK87mdDXxbc15QOha5ZBqEIwMLF6MjFhJWPtMrQiyOUuVnZLpJGBBZLXYXGQrgTXXxktUhgM3aJXJDoZzZ9MCYjB6WfkjqCsG7SbJwnnzOfEgjVcsgVkkUHqqH3t/+fb8/Pj885+vv/yXH+94brYKWcA5Gx3Z784HRvg5bZZBE5W5yX71eqH2UD+ib//CATSTbu2ClqcMVlHkEQD4ETx/zKFqRhhBiOX+rJWSb7HU7Y/83cB4uDgP5DbEGKB1OFhT5SDvZg37lRvoW7tLu3arge0t1hDFRngprkMi7KpQZvRcVofSET4S+2g+CaleAnZHvyi6ET5lSAdMN+DOvRmn3fIlttLDGTM8j9FBnr+DtQd6ijgmSJmcYYDTBU+19aRgaHNujKNrDKnRBJg3Qg6wqsP0OCnJ/VKcTjPmJLNaPw8IiFGan/I/mJ0b28kNDQrhT+v+K4jCdKASkx0zXECbYKjVHQwIp/uDJZizvvQFwRlxdos0Ldu5MRPvBUxDplZZvzB9sYbc6TllHWyTE4K4LhMMhuebbKkwX9NTPN0QASJV0/7Q3A4sC/BXdiM9DZRnj+mbZzhL+WjwYGEGHY2xicxI09j+QCHAejuwJxT1NGJSdJ/Z1MCmM3z860pQ5mn9b7wndzQ5fqNHYh6GiSnEuDd0VBsxJv9hMuilW+5xXmAHAwhUMxSeNbY7J7RBlKEHnJ9nQ7GG+fB25WmbxsPJccuYw2ihO2ct3wzLbmYbRS6IQYOXDtHwE8u2yHy0FsHGJgYN/g6ye9gEMGYs+sL7mUNIxc6AFf0IMmyJYGS+AWDEJK+GmAZq2S0qJTsWvMjafYdEdyQoHyUmCh2ASNFsXXiXQhKdTFsfIohl4RNiOhfCoQPH0eVRQaFguQiF69qcziKSjJ7Vv5hARhdnKhpHkAcGZX2RwXpvhwHuHujPe0K7xSKsm2iQYQYBPY+l1/vO+HU4xlAEuVbkulYuB4Q2M5hoEzWBYCFxHlPOcoY449Yi09dPLwLCm8Q92xk7J8yBmAER+oB3PusIoQsxVNu07dY/CEOqYgxQhAJ2Z9r2N62+Eb0EZ/9Z6xyZM/aYW1CAk0wACWM41+g/qMF1aJ8LBgiYsYFIiohSI/HxRt/99Y//+tMPP/34ftf75/v+xnq2esG+REsC58Z5gGWbum87gLBEPRmdUcPxGfYWdKu6QwVt7K2t2Ju9w5a/LpU62M/VyggbHGt86dYmtqRmFzb8NdSlZvvc32xYIsu3YhaxIzckdwhuxJTF7utN+GRfC/Iq/vB4Ph/1hTcez/X713gWoeyt51431rNp4DKx1/Lq6ewWHUgYyEBmLMYKIhfISKUYCCXh7rKrd+nG0mIhFKsIWElLzEZehBGLdgSiMe1ZOKGC2XZhU+y95NlW2cXSHgSvYUIBgDfHprH8t443cOViCKgtKRhhMcUmezOJa5M7GOyYBNGhr4rq2M3b+WYbuPG4VbulrF73sxv1rOqSSlFRxS1trRF0jsVhIWRpCjhhaGUZLRjIcjwKpUL16pwq6PVa6owmuboydHVdUSCom9RSWRlLpauX+dRG93NHdZW+Cfe3+zMSOwlGOVMUdHSc0ho5jCKQFENtHkwlbWJSOP2bCKCLvHVqPJaJ1GAjcC2uJBgBGzeMtq4XemRBsgg1sdFOtFMmZihCYAcPPQTv+3DIpgZIjw0d9hEKr0JGLEtx071kOD0sbClynZzWyQmetyCi0DfUvKvvvvPx/J1/iF/+xx/7p83q1VfjUrgZliCvK0+tIIMatNa4pPoAZjOFGgNpJ5TbnHOEHcBrBvLxmio1gCUhB22iLojoiYtYVrbLa58wELS9xaWIUI4Rp4f9La9mnHmDFt8E6I0L84w2u73roEkhYD4aXhTffm9AOLmrbVmUuzizTpi/YGJoIWA5GFQCtKGwfsSyRB2TrSZxz0zDRHVWN53/aBtXTw6cZj2vx42egF4jlQj7WibUHwj4KHTViMhIKpJpjboah12kOliDSJoVcyvTo5Mxk0+3ARNaYbaZfNGPpMAyM8D01a/RWmuACmOKlvggmBZOnpgjTdvpvte2X0PwmAC8eA01nm6BtOfPBgJageQTzt3lOlwExsjnnjpMixnZRngco5d/KBleKup5zEvDZeukxOOHaRJihYnxge4wxn4hNPAzB9aU1MzXuGHlHGtGLndPRq6nY4CgJaPoE3c13SmBNAo1PrQWAk201ZmUBOv+um0wHgLAitW5yoTFAIRJyBfiaB6Eow45S9opEU5iRyTaJk5C4Rw+HZLEbwEIYx9eL2NaKAgccMs2VY49SkBIae6OaCgnBgsz9YbAniXeL86GghUURvnPA9uDMZ9Zlf+AifvVUI0+TyF1gG5Gx6DZGx0e4i0JGt6OHUDBElb/zBq4m4AJbr+1nvWtx0V0dEuRSOKMPOZwqijvQ/OBddQdE6eL2e5p9DdCkYDBD+TgOhHJhkQinKXjNCYbg0ct54l4JGIIhFFFAT6nrBP0wRG+oP09UhdqKCfUgLLRIHs4rYigJpem/ca6dZXQlg15aBqBZ4LBiKbIYQBzBjn4Q7jMDEowP5oj72o0ogXabckk0hDFmGxev5Nqjngq55fDL9RUWr+NNs7EZN/6JBhwayZ3S5CGxnhl2GnMHpwaz2laZ2Hm8Ghx9rhj5lP36ufJHqjfW8Stu7P9BvM3+k3lCzJDHGrG6apuJ70Hy/og0qQdiHaVC0JIabbiBbOj1Tcu/Mu//jUW9X6/f6t+9tPtHMMIsv9+RUT3rIc+srWcz9FU6Hk7xb0Z9fRoMPtm52zHTAwrMRia99AEr0g6LSWgRcYiFuHZTE0gk1gSRiSHANaw1BFUbMS4qqngB7GZrOg9J/GVSGFFfBIgLfDty6+f+95fH8+vX/fnL1+f6Bu6pSd42y5ra74lAybBiAU7LovgwM0qoiIIZiRztausAETOircBSzk1wNQRRreqNp4xT2ROBT3xQLZ+NncrWAI2tLttkZqlHQ6cLAHaFCdxIyguaQUieLf1plpwSkxEUdkrudEdeyIChm+WzWLzJasNkT735A6ibTuLepT9DQC2umQfGRpbAnB1eyTKzDQ3ODvseAA7NOINSPAj4hO1VFfpQ+tifqA+sq/CGysR7AjzdE0yUspGKHKJsef1kqLZAiKasSPr+e23929f0dgP1LMe+9lPRksRoUVG85xZEWjhFgqz6lRLPrOhMZo2W4uiyXpKiB7zBSNXkkyuSJivSrM7Pg9pToWGdDQmwKkVTaUJ+pHsoxdNhTobhw32ZkgjKCL9QTAdAcHoHlEDQfL4D2le1glmbIQCFQS6m40qdK976/5631/zqedf/o9PP/+zxB351gKctxZQKxpUF52pnxoSwEeTY6ztaXbI28GkLVZm2jdEnI84hzxajeCisJHdDla00JsvcEXtq2MiPal0m0dv2GRMG4Cgj5Rp2VztfAq9QFKoIyITiDEAIqLN39GCsFGJA6EylxISNr1oDbO4Vum8So1uiz7ZNb5eaGotpxBI03v6dzlEZZAg4GQEQTIJKxMZ7DiM8ED8w4qDAY1k3z28CyC/x6ikXhKa11qcwYTZcNgptlkl387wdqFIG+l4tEkKqCBmcKakYxYWHPhB2pJm3Npocce04GpN+J5xY2L2Qx1+xPMMeTgjr1FDNHp0sMBRzNoQGhIa5ZwBUJMya55A8ss8zJczmhrCiPfn0w626rJviNglipqdR9O2ufWv9suKg6U7g9SNWx8HeVPg0KoN2rDEYSU8vbrH8lf3U3PSvXga1bNDadRWQeAfAtXQBGLxnPrz4BihPuzeUf0cuhHHAyE4sdcOIpLoWd79UoCZg7GrdHSi85Q6B8mNtnmkxkku5nRu4AhSHI5N8wbAtBIMUIcv05wIcMthrbt1HJyu4wDzxkTV3bRG242T21ETnrPLXKPUdyArMCKzk5uNSBDe9WExRkzzjvmOY4qGw6Y9vCUCs4a+c4KbiSlujfOuMLxWx1hyhJngDrWO4IUwQuTj6DwnasXwMFZ3oVwk0EUVxPC+oDBfJbWtHINM25Lbs5jEiq4eAz0suWFMROJ07k5pOMVEEvXqmM2LmUfV6esdYzKSSNgmIELJMKpmQHKoJz+YfmZmFu4uTjshYkSuZrzRfncRZ6BwPaHtFXDswOhCOETkZFxHL9oS156zjBKckdBtI4DwtzLPouj2ANYIpDOMZ4w286650Aas3NISUmkiaDULjn1HG3OL+WIlfXE96/E8SZxZ3HgYgLPqCufpJWnw/khrTSmLBGeb2os19Min+WlWYpXpfi9bbKYNXVu8Y1fzA3/8l7fu+/F+7517S3cLHnsF78zbGrYLoqmZ1kt/VmTvXaVu70cGpGq2Qjf3PSWMRFZT5RhACLspqslArdXmRFasNfpJNzWiQ6R6uBeXixsiA52qIwsMgosIrUYk5bCrZoDxgetDxlWNXSti7W+fv37+3O/3/Yhf/15fHtybDdzGtq0B8eGWDfYgd2iBGYyF4HDqZpEBvF1NUYW47QFRSdUbUjv23aWPxh7qcO4ji5itJm4Ov/+bRndV+d0tI8+YYTgYXsrt7WKi86sBD6QQ6XX2jrraRr4QkZk+rthCbOXIriM0hjQTBdAWd6A29tZduHf3zt5VzepSdTefz76l572ruu6uUtVWBSrr3hQ7/Rks0fbNchFiRDYJLukSPkCLuCIWGMQH9NWdwYtgyUBIAR31PRaNAHvdWG1/iIfmTgzRX+jn+/vn96/fAgxdzwfen3uHwdwmzgssmo5joBNNFBvMRkdUWP8DWNppZ5IEvixp4S3R3n8GUiu5wiBFIrgIxJDOgFpdY3vC3AezrhiFAgJxge7ijDATINJedyDSq44Va2y4jnBxGWQAnHXlkI6fR34F5e2YtE8ovYXmLjx3P6LuL+vZj5//JX/89x/62t1cuYQEAUbwgjstV1DOlzBFB5CuPVM8NSvNLE6cQ0kB9KAr6ldsovA6LAWbu8DoAXfCoaBeq8ZIuwg8X+0EVuxEp3XW4a6QFMOJctFp7pWcpe1EJohKMokFrDRt6u7CH9CrZr8jUYITceYIb+W84P5Tp9cXXJfmyJx/mGBUyTXI6+sPVEOevG+gjZT5/AcO0qlRdQ9KpVk/OAOEK6wFOz4MXIMAtLdayLfMvOqISei2lZz7pSPWM1ljHNqCGBfq0Ev6cPxt81XbVWnQdCBsGguij2zDOwoOHwBPJZySjJnxCNCaVQhsIkfG3dZQU+gRYRxiAQFHaI6uwbPHqDa0PO45w3ciXgYxmonI5d/EgcdEP2jui4yotzBLhNRkDB7QblHg98O4t+N87JXx8EArPyugRsQAgC175fx9j8Lh9DayljmVE0netpt5j4UUs9vM/YJ7DeXpEubazqF1SqpwfBFttEzRQbCDPQl9QbTfuFHAi01FDaxICtMUhZfHEobvOVFEPk3z/EZLFlAvyHM+c3wPYvONz0M9wHcu+2QVC7IoJ7y12uACpFmvynl+rBzyyDK+edBDTyQdKWFoMsI7MXwzR0yFM4JaUe8P6/62HewjRM7W6LF2BJHfvQECJ0s8ZK7PrX3AXJa/m9IvjvkzHLf2aQnLm2MU0OgeCUSknLY+uOr0gHqxARXymw0ZZvHnfOnlHTUxe7RBIg/XP7PxuR1+jSFq+XplQhiDsmA5n4GbmXxMMwwY6UNIHIrK6anjnB4M3B5X7w43ASXDNG1Ht2aEcwAdBIQD+hzU3YITWxmkSp2WKvlM1oAYGT3+K0hURLAwuu0ALJwHYp1P6cE6KOpQjfPR5lR2nB+m0NpOf7Z5eeBNjIgKZsSmgB/G2615hx8m10w3RX6MXUp0JnYTpj2XGY7fMBk2s7TmEJPERmgWsp9HiyMR8IPiFKsG7pREFRq9/kl/+MsfHv2171XP7md3sW9IgTJOY/QNzj+xixzBjuympX41xBq2NzOUZw2rIxy1KjU2EUrPr4BCTbsXOgN5tt7wHDluBih2z2JBtYrZdzObNfpMo35wknIr2I7IGOgTmdAPqQtK5YqMSPz+9dev3z53rftdX9734x2FuBstbBfk7kRPQ5gRi9eKwSwDSxCaESuATBGZTKzIikQvH8iACs0NuAVHqtWh7PFEnRlZzWHfR5wI39UYUlyacsgi4UgpyosQy0EvIz/G8Yk4FIxQYvHkzikqgUhTLiAiVmQsLIpYybTBoDSoqZuxQiW6taFn13PHE2Q0Mxp8FB7eieOJTrxVNZE6LatpqjG5teG2G10KjK3I6pn1A+JH6qPiQ+NCvgUWuGSbuDIyMsPhobDixRQbwYxAoK4uggv4AC3AjWJL92+//n0/vtXmo+LLMz7vGebiil5SM9QryL6xZT+pC8KKBjVp65OO4fe6MIMWgEhme9IkI2MFI4PRmczFgGzA8DHTB3cddo+bdGiUMKl0BLzn2CvIY4qQFCeaOdxS87WKHbgYmTqJToN2zMJk+DgJnO0h2N0GeeeMqmTvLuX93vzGz19/i5/1p3/7cH28UhdgGUGHpKwBXUDFEQG4CFimcF5Jo5qaPmDOLFDDtUAxuB1PotKoDAafivMnSZILcYHXIoMrmGSmruAKLma+4cq1gkGsxPIFCUVo+dkHGIgUFzOYyUzXeWY0c/jfRQUL4e7ATEujMR0ORVEJkTXYqGeDMFziP2LBkXv1ZCDGSemTfrQMgwUMVj5AnkFqwWwBBxjjyJDNSrhhDottAZI9gTgcB5GYwyzg9PVOfh8cGOeaGgj3nPN6E8fb6GAYuIVwKccAlQMp+Dm2TGluI2HxgfFj+VNxIsLLQwHh/+T5KUdIzkCaPDd2CxyFeRsGxshXykl2ONMCElSctieUp5tzxgejRrqspC2uskUvz0A2XZaJcjetow2Y1nrQ42KSVCQihEP3jHrnaGYsxQe8aiwO1zXHsHsB6484bzY9PrmFOYTekHUQy0osBo6T+JADA9aD/iv5GiIGrfUdJ1XG0eDQ7RdN5VYCcrm0sri8oxX0vOmCbF80MK/S/FSUHIU7EQpuTWjCbm5CT6AhZm1XAxbOGQpsj6HSiOUIJ9Eed2MED9Cm0x445qwY7uhLNjljfjx5Gm2nu9sKMqPP+KN1SCtratfcap7p9ftTIVIdOZIWsTsQiZDHJM5QMa286Y0DC9JyomCXW1ljF2dekLzozpG0PS9nh3TWJhs6DUTULpebnDFDALvGxl+G2Qbw81g7prQDXpqxGYeMBn+QEz28mJKeL8+lHycgu71N0U6OOZH8cAdkjb7ZxdL87cOkUOMBGziAZwhthEW/1t7N2Q8xUA2N7kTw7iNCqrNbZE+6FperEIHiRg7CAoaXgWQGM5fIiR6GWsP2DPQhWn2thDKFVjvAc6YrjCBpwkUhxBAKCKcNGr0zGAPC5/5YNcABhHSG3IOQuHXoqZnzqyNsdLgz568ZyGWgbyAcxeGoJ9dXpO3yczNohSsmwbEM0CX9Yb1RGwglM/VWeP7hz/mHf17Pe/c7+1t3iert6kHOFkSbg3LNUN0tKB3o44LQdGcTI98LgbVxd23HjwyBpacztpJAgAulZIYTWVZkjpGVEBg9yKjVzVDFQmJAuiDBiiPkSIgSrwibaa2afGOo3xqfWqsDhNZaz2/ffvv73/u93r/x85f95dt+L93KFh+NXYBKTHMmhjjYIRBrMZvBzlBkMCMiqAy3HpG2HpwZtpEWOdm8r0o07DMbVA+K7kxbf/1naaW0MUVJoy9MbJVYsxnjtFBMDDl9IsgJBlJ3r+6wptLRGw7dC6zUFcjIAJdwXcwMUWKKzUhd0aEOQmExZXXc0O7oHb2777NosMvpP7jh8BR189nqusuMRu6drd7zXkuxei29Xa2QCymTvBgXeXV+ABd0qfPErYMKdwRRCaUJTcYkEDqiz6WSjAbZEXxrYqnZu7S/fP1t39h1fX3g8673Z7czzFTd2GxFAmJk5fRoQBa0hYyerS0TbUO/ILW75bwKt4KobjCRHObyGPEM0iis0fX9cLSqX20jhxwNo4Cx6fn0LH/55bI2B3kjiVBkpEf8GMGgFaJuD9ItXA9t13BWYMx4HY7RpHZBwFORiV0qvH/j8/GeP9w//evb208q3Dnq6KhRqnAkvEqPupZSOjIkWFLN14X7UB272ega/K96BpKUcmg8tN8gkImR8IC8BqqGzA1TXoTkMXAtZCEiczETASG1iAwk5cACwyBpIc0gDaPthnhhLiNyksg0/aYT80aUzRGTBluZToI1BuEDP21ImMnOuiZUY4z/CoE5NRMYX+N0VyZQ5l/TNhG46XHTCzReQDBttQ6QTov0yyC6sS6LJWIe25z2iQzECEW8VOk78CgC3Yd9oUWoVnJ0W4vlQcHHlBEaGox0wyobl8XgGBtwwA8ZcRx83ePgQT8MsAkOVnLnYuDdEzfmxelg0wtD/HJNk5ODGB7zmzGXKbmCylukfENm5MFkGDaOIZbe7edZxVTDP4B3Y4iOcWSpuTU2ganD/lTDyA5M8L30j2MOh4GYs/7wumbjPGW6+/iHn+vTya3CLM8bFzKY80pY5/MiBDi7sXr4HOrF8xizHECDFK3v6AaRHpLdWgw5rwPH0kLpGS/cGDEjqEiTS5B7HHc/Z2GB98xOa2KJnUfb0SYPYTELfeYgx8mz7JAQ7JhvQMasEz5PlTVo88EmwGV8MPMpZ5EjpOGs2uPBfIczeJD++z2xGWw3zhsTNMrBMdKy1mCIShaSoPtnHS6zJH9YKSRmTyajzJDiLgnZjN1nXhnXFMb5FXG4noIQkQRr/ENlnM+0sWajiE2gEMLTSgPDITCAcZsyAaaBlZzjgkC0UW+01wfHyEyGdPQV9GjqNrPmyEfwcCcca40d7SRmRD4JRzN1n7iHc/QQ3u9hRDQ5j62zcv12eKz0Wdt5FhtxqFgKLY/6opPWme4Q3Qpb1RazJnrUsQ789HWk2lGAIzkK0yF6Pde+ezANBcxBPd/dUw+mRJhVwflz4IijNGidvf2FeP0uz1Oj+xwM4AADZ5CYpxk4Vg940byv4AvBmSl0VvQEKYeS4cACItnEHbWgjOgP/5Q//Gk9vn7bX9Fb/bxvL3VKgDXbIRzOB3HwjORGUjtC0EIEO1iMpo+DsMg/xgEs76EJJ1HZEw8SfQ8XGCC4EK7Qnd4Guo17b2pbqazdZCsqc2dyBa61843xIdYbIttPBVdFgCm83XxDflyBQmA2RveX33777cvnR+vx0Off79++1FMJYFdL/QTohaz+skvD3w7c5Ky1hiR1VQcqMRWLCMxORhurusXMCvQLVjeNOKMeWa0qB4c1MJFJHCeMVIcOLi/oiQNbiMYOLT0PNBhlCIjE9rEkFbCZYi5bgX74kD+tt58+XR+TwM3AilwR4U+9wsuxvabNfM9z5Hq5t54dd6E7asuGmb33vnU/VZ1qqvaz2CUKJbM07Z7NwgxKgeDmQoCq8qvwEXprmT1JxhuUkReEDiA2shBVjUaGshEYINpbKoPG/pXA6sCmTSOXqt+//P77f/6+n6haj73+9ns9btvq3BYglIpCdqsSOWoVIjJjoYPMGhYebGCb5Zz8IKLTskQw1VU91INw0ti8SLwPfDW6EXciHZNCLXCiEjGwSeQIIBEVw7wmAh2RgVizFTYyKxPBzIUZUdJpEh0Bpn+IY7STBlM6B196ATaBKqfdlIrP/vrkl5//5eOHXz4wQ5bRsyLN3Y8yNVSRNN5Ft+WcdW3b77XrAtU23Bmk4AwGPgDDuZ0YZBsHMEWILB8JfnkyHAzWGfYdElBiM+hkXnQzGZHpbTHu/seGwQyzMbABXBNf6nWeNmfIy8cJ5ex3RIiRMYy3e/N25yujWCmnMkxxGUNMAJg9btMqAyhvcnKknbtbhgOSRiR/2vEpjnIrZSdwDYW8OEk6gbGtTBetYDhMh67pI06B+qTyQC+EcPpLvKjDI8oCNFsZDydLlj2t/siDUx1u4fTamh0Ttj5CFqBFq5mhMm9uLNFSpz4OcFPcmtzHGZhjIDEERkYqok8bNnAsHedFPxgj2IpxJ8AHrMveWE1kVuQEKKPRaGuJZ6HLsLAYZzB8l6kI220BMixRDgCz2MUQtNxiMc4rAVqjvvxpMxjHHU2MrgooF3qPRAZo/fhbASwER1QEd8+m/eS507ksEbYcwc+Y5I+smdbontlN6Yg9RFBDqxK2cnQzIqQ6RpR5xh3s70vIVafdDoI9+gseZspzk70urQEEKRhxnRFFbOf0uhd0/58xhwLBzJAXmkoXEUxA4b66Pb+ENDpHAqeRj6P7qDMDDR0Wkw0Gg3J8CaP899f5J78CZVpidMdJRlrjRB+uh/BonnbwzLET2TMG4+GN0y2tljV/IbCqumcj2UR+eyW116LLMSGDI0NTLYgGw0kx5USANnI064nqiLxoTb1RRBrSG+uRx0hvMfAaxQA5s1T7gbFq2UFjGZNFEr5589IPJ6M5Nfw6uR1HlzQ8migVAj1aR5kxoMk7EBYfo8QQR8pHW545PaIEy+7YXvggH+AT64vhldkklPPK2ikB0gvrdDau+PRGpFN4/Hkn2ccRNhjX0PTgQQ2AhbbsF6E9VpzhD/k6VtEafASHa5hz70y5Yp3L8F0cNusGdQAAd3h+iPywMuwFC9Cb0uGZagQNMy8Mp2yhsjGBHhnJOcJho1txf/rThauepb2xi/0Iqb0mxaAZR61LSq0cvW/YAFcRJRSTUoLJIEMy6iVV64nYmwUveVndGJ8C+8xYI6w6uam1dJpgRRQwsjJW2qJGRkYu8UPkh1wfwKW4el0ZHwMfpTdxaS2tXPEJ+ghTkYqEHu9f//a3/7u+Pp83v37B33+/vz2eXXr2fvTeG7tdLQeokRl7uG9nRChSiAAzOum8ISxGxNzFgTunGmmL6kh3GRxVLagtx5aQIWY3WtXyzL4N0KmgLgdWpoc87/HArM4twFvL3L6AYqKV0UMUCIrqpqrVK/jjx7c/fLp+/vj2x5/ePn4gWG8LKxnJWFAuZeSIj6rBRgLq5l28iyq+P/r5raqlbnR09d77WbXvqsIutw7RDe3a931XodCFQu+CvLs5QgzGR+a14iNytS7yYgQitgLMsiA11OUdsLNnQXamtLITcXUkeVX48cth+bW7ns2nun/79dfn53dUfnvfv33tv39DSWJuVZdf2CbsE3SVTIYi61qIjBU9Ox5CTd0qdRdCqkgzhD7yORx5nzRJUV46M0XCGWDW9Diki27vzDq/WD2MtKhlqFpUxqBXrdBZvc4W21vUjMm3wFBeBsogJ2/MVsY5sXuZJ65p/0rdISdRkwX2s/a97uZ7ffnxTx/+8M+fdN0Mn0FSiYyIBKFl+Wv3ZECW+4VwhXV/MY0zIoIjZLB1z8IDHRWVrxY9SnE4RGfTNTGbFnTKIcGIZiDBWF5bHwFxRXKcoGHpra1Ujkfkqf6EFCP3HzKY7pfgYM0JaEEurKQ7kYQmwyKQ7JgQuAklCc7+qumtzIaTSj8XPvSOcXBsCnBmRPr32wZp4vzASM1SdBw02LCCvveLUgrO3mQEZofRlH//Psn9AplDR8era5e/7MBFgze5F+cL+R2kVU749ZyleVYPXiUikGe0UI5SxA8qobI6wUzBPOI2oUzt9Bc0O2rqrBFgaEJw3GfgtHMMhtKycI6ZZlw6GA2we8QMZ9LbK2vVzaz4bB8mw45zRPhAm2MxokuHihqKZo+k2PGEfuKb9LrMwCBHVvcN9o/LZohDtBQRUDPkhkg2/MwRIMk+Zb/W1m7O23+erPKuIM2NodKafDRsKuE5QnSc3gpZU9ayhG0gS4FbATLCztScNpZnJHMiZZPd0Xbci5UE/MAfsJevJmYUPqY7wVDPXmRCThidATd8DzwrnUsmnF0pZksXyVnsQAPH8rij4U1HAD+14vXDX57PboOp7vZjetD2gzXsFAZ+NvJMWeggq5YcojMPeQM9vYpm/uLrbfKXwby7SQCdxrwdCxhQs4kyrM5p8jhgcsv5jhOqWZz1qyZfrIaUb2uffTtOMe5qt7DVgrS7vdyxuwcolLosvnXz2w6jDnEyE+klh0ikWo56/q7G7zATorlPzSNHG50VnLD0OkasnvQDHWVqYFJCRZ6zlHPG8Igu/S0UQ5/fgrpfZ5DriUMIYP2oN+L4uUB7gkpP4YgUMpDhe4icRHITBluHfRxJwbwqU18s3jCgJiMRh4EfbtHoxxBdg175nYtZwjXCwZlO4Z99RhC/OD7HJVKF7CH1JJ5gRDf3khcYEDi0xDGVYmwwk9mvQTaAItMXJqzoz4lcoK/Z5m78/Kcfd+xn1f0kCl2bzRR7C0I4u1Qp5N0ji/K53qGVOZdAy6sHsATWVoMootTPvrsKQjVbSpVUXp/KNiZ5KMVouAwigisGffLxVZEZkVR2ZMQKZsTyxijGh4qP0KcrkpHKq/GGZsZiRsQlCFjJ3NJ//O1//v3Xv+3u5xNffrt//9LvT92KB7hbtTuas68x6AE4IzsV2RGI9HJPERxqmrlWIhzM3YqLQAdV5sMn6K8kLZIpwhvGgt3JorypwnOiDwSjZ5uDYISYlLaxRamr4SM2nXQgO3wIBrchmYIYhUA2m8KV5Kfrw6eMD7w+vF1/+uXnf/rhUwbYuCJWIMBFQ0AooYMCd993VxWedT8L357qzt7x2FVkdz3v/Xjeu/rxuN+f9+NZ356P+x4mw6Kwe29p744utlU3ZyVcxAdySW9+dEQngupMX97+mTXBN3Bk58G/gp2stXeSlxS9r3K7XabT93N//fX//du3L8/7ga/f6rfn88uGeSkKWOYSwxttbZwACkFeUnZmK8VUREnapQa9Y68m/n3Msaf1CbvnnDk2Ur02BAlZIjjiyu231T6I8VvCDYU0dlmAbOcOO6YiiFwJImDOUNGRPuWKdI83u9Yi2Ay7gprZRkeM7GXk93AF12TrRrgL2LUfdT8fHz6uX/76h/VRHeDdocRlN4Kh3A54sxsGjXUhnU6bFNpQveZvGMIhDnymV9WVO/1BMbqZdtcQcyQyHSYlZL5czgcftcV1Wt70x8NUcm/jggYtZyjhwaBOakbL/QJk14kbLGKU/6VBGZlgzJYVn+Jp4M/t0oQ1aHJW3Inbi4RIgZZrNnBNI+mNkqYkTuUBWiFGt/oY1Lc73EjO+ALLfURqoycHpDXes5eYwcrq0OsK+IpbjjRdu7fHSFK62T2tFlxl7E6NMPsyZgAQMcGQOOW6TFNPtJcX+TozZCroAElGSfv1t/Corc6TRZlJcW/cdCa8obAJIaGgCoUU9sgZiHMDh+pNOxKHW8N5/sxTeZGd6y/mLB8wk4fwxYTduwGekZ1Iyw5RNUGrzhjEMsxWbTxVHeMLL4psRCvx6hUPnT/4Gicfyl8cjFDOO8N5PrvnyBKdvcjTwvtisZBuO230nNDAuQZG72Pk05hNt4gmGh3uC5KB11ZsUqDbmGlB6ZLNmjUB9Iw57hNOOQfYJJUzR1r/M+QTAOd3IWDNeUxfTg2fabVizhgrJwmGbNn2IOHeQXPr/PxobksIKJzYMJ6ZsHDojwk82pM0KQDJgv/2FSPFcuirYRMJPBtsW2amWEaEzzebWS9SalfOwtmDAUaE+fs0LIGAcN+1S11ia3dVqQrbopPQ6TP95rJ1SGJ5j3GoIyeJJVphhIYvxwTO+h2EzWVR6V/wKxKOdQqYuYdUmwU/JMoIdln0FGZCXe/aPnYnkvkB3Jz9C7KmYWgYz8qTn9rWKphVSJEmZxAQX2cRPDhOE8SmIiLPEWuvcHiAEGZ3LNWaQAm38UFlRB2HjWxvgUCMEH0YTxArFMBu6y2aPQdh09GMZxz3oEHVSHWOOZw8ohr/zBFmBA12tzhnoQTHhR5KcV71ObTCL5fXm3AscEbpz8vtnpvzOPgSTSq1K4bH5QOjmExp1wHPJAEED/BXb3dAgb4+KX5JZNV9630/th7YXZsbSRSiyMZFKrDtM4DUzj/YnYUMYBFXJXORqYWi1trkbpWu/bwezVgRuiEpcis7xGI39n4+m4UrtKjLkGTmXvEoVJUs8xBithlcCa4gEKv2Kn4QPoAfklfHdecb40MxEG/iz+IfhDeBiRXB9VbvX//z97/9P7ij9/Ufn5//76+P379y7/Vete981/qmfjhAa5EBvFnVVhmVl8+G7GqIW7zVnRvo8q7mTnRmCyrt3VDjKvmJVQFdBztIyIoY7xRe1g8mj3Z4q0IX/JY4Q67RATjZUrM7wg9hT/6mvauGwi6igBvSvVtZV9aHjMVqoq+6Mv688n//0x9+jsSHhQ+db2w2LukKLK1UVEFiX7uiM4q5d+3aN3TfWQ8+7t289I66pedGdz+rhcb1FEvLR2fiRuytbGs/KzpW5VX8tHHdWLsTeAjv4pPuB9DNzS7pRgkqVEd0ckdVg62rQWEJ3FhcHwofGT8E87pSVAVUkXz++p//z+9f/7bF916/fdV/fnn+x2NFVSt2ZlehSi1EFMqACCGiciU/JnO9RYK8u29vxRgqUWYl2yXTx1x0owmVtAfJtmgwAq9FBT6uMiKBQQy7gc5qOuFNrehWIdhs22z9/jtuanut6rBSkxVBziqCxWMKUiBzICnKVcukrC3dZvyjtbzjT9VdvLUeHXxkfxNTn/45+Ev3foKXlFBT270xGM1ojjVilNqjAmawS6LT6och9nlkdZzF4wSF9GbWYHcKsJyt6A+swewViFgOF4mgk6tmGhlJBMIhqrI9xFZJec+gz0KHvxcHs9coXZEDC4LtBc0pyqHXWshoRjgXBy9Y1e0ZX/UAIURPYQNsNh1MjE4NbbXNb8pw/EVyqsPkAswux+3RoCMO2g0IZvQbAsPFf0Ikmoz0vNcB2DgCAHQUvcsOCChOiryzxQPT7NmD+Ep9niIuL5OeuVIQuw6U3KCDmeB9j0OTjqQcgwOaSjWIHtAIc9yHajZ2dQvb8aqO4+lhKk7vfny0HHEHYFciFfDC9wCSEQm4eU7zKKGabyPQxv0j6/Ey6bFOD35udc7QAu31hRNiirKIb3/H7CaF0T2DO8zMoBdlWoqAMQPRHrkAkPReS18fwt2m2S03wkYyNT9SpnzJlLamjfbv9JJwYmwZbVrKIJsxOp52g14SPu46OyPhHJNZJkcMk2WXx1krcy44rDcxhj9lhlvq0mZZ7ErNnndqxBHh7M2ZJUa2jxyd1zilJ8uxKywgnyhfkEnmixsY/Nj0EMcJKGHED5y7EmYqVQi1G3nNzOCOn5KQJwEIUDFl57HNxv663qUKOcAhBm+mt34P1uDW3zB3E9LodBWMQRDFiGo5iaFJzN7f8pefnYJNOFPaCWIW7xtAlimw6p58jlkJYYmNT5/hkAF1eWoANb5FzLjMmf4Zkl1rCbXjgSFi6Gxvg45z50/CZnMpBEb6eXjxLEonWxMT02qEASaH5k5KcuGEk9XPeW1+OgDnLo55Fi+NzZyrhFWj8PwLjbLKL4/t2WyfLJLUq4ctAYAok3Yc7HpA7BNdB1KldmawIR8VMEFFw1BMVLtFO30kqz5To48V2g9UR4/6FuflBRFmxgz2mGcaN47aQS7mQQ8rNAvrhicYNmIkEDTv1/NTQSbbKKEH/p5JxCQVmfaqHQuCMUVKcX18+/mXH4rPeu/7Xc/nXcqmV6ekH8pk2/rEg1L5uBwwpxFtmKbaAJljslW7u6Tq/nbX3iO4QgFVQHt/aQl4PrtbrGCLqVzSKr92KxgsWTK3oLfQG9eHZkqBi8RyKqfiIqJ6da1Lb9RbI6WV+sD+6Kbt69fP//m3//n58Q2Br/vx5bf+7fN9bzxKz7ueu+u5i0A6KWdFgrUZXnckJdZqK+w4N0XOd8nllcHV0UrHEhMQ1OQhbhwTO6cLosfUhwS0A7TMRUC3onj37QqIsyyFE5wWRsJ6zmTvfTBbpO4eH0IbpSYa6pODGASYrYv4sPKvf/jxj3/84UPoCsbSuhiX3t52pqf5RDp/CVsE+Cx+e9ajbu16f+x+7hKacd/aN/aj9/P5uLt27d117313i1WX6urae+Ox99aNe9tQyqhAC4UGcUtVtFW7MHxhM0oRnZCR2EgoMj6Qb0Q2VsQbvdtstxa7NhqJzOD9rF///tvjC79+06+/1W/f8PfP+1v3Hqr/gKBpPgW9gJyFSdfFSHIBVFxL5qULaKai1a9IV0xMLOicslIAXUK3wpLOXeyemFf3zT0CmWNXm4Bh9wiMNtXZgUYEw95InrfOjVrM2cIxncZaE9oeIV5OaxOJynDkmlhQOSzFm/asW+MGYa+kT+C7K/s9ceGnv6xPv6w7KS5GGgFwrvAYXP0BXDQZPrhdVBw1ZYK/7V8c9cqMP84HC3ifFhBhWlMcYmS630CuXEsrvIYK6Rtn6SiDp6O0j5GY/TKTvjXuNKSrpSE9+y6DGWJUHGI2Z9sQff5lBKkr6IuWOdpVi3mMXM/1J9JFzaE48l6NUyisGUbYdYDucsk4fK1NXLDZ9khiaOP82MrAth8RPcudB+u3M9alYqwJIyuSUFMvLSriuCU1IKq/Kjn0owZYoMUnCie8naHmFKhWGVzVdEqtON80CCFnVf0JuTuhQTEbGtySHCVSjE3OQJ/nveH7gwJV85kwa4kASulWhd5pzpBubHASb2EJjbf0egh0VW8qT11NCOV21oKHGRsduj3y7blgC2wLbxyhatHaXNSwySn8eEPtpHXNPXQTG6M4HwE1bQfG3P5DhRikxTS2jVBwkkXoBdhBMv1tSDrab5bexdA4DnkNaFRPk3LqNtGmcXevbVf35LZ2NyxRt0/t8FgA3CANreebObF97R1StIBEnj3nEW66wgFheIJ+iuDVKiZ4gAxjm4OmCzHbigmyiLPDA9QJq/fgpZCQRxtGEqmR4REeNDhSKcgvlrsic4UCQyeHxUNZD6TbIh3mJlgUHpN04HEpvGpsPgXg+E+/ho7vINqZ3DdHe85u9I5qFB2wPmdmRLh7Jmb4G9ZF8HZdX5HwupPBNOzgOJLiM/CzOU4amsXyoTvp+VbOODMLJQZg3WZDhVIP3NyiFgwhy8PoXJ7CoZF8jTlCNn8bT/W27J+yFuWzJClhewJ3O5+RGcPLRPB7DJQR7TPVWNrfzW6vveJ4wAeGocbgYrwJ0mwSlavllKEARzM2gUfDHlFeFnMEOg28/Db+nwGnBrifyc6P6pzcNDszeAbG0UmPW5iwrjHrjERWktJK4QgYpYoB0uDEij7XWf/AivLkMZx3YBYu+LHuAlhmuabWkqYiHDTMmZ/Va/f+8OPbL3/9acejqu9vqhY2+tk+UVo2UGGXfEMkqooNdihYu3eBieVk2FnjnNHN6l28ldW5H71vqcJR9yKl1AosSuhAMZ7CPaMmq4soiLsphJbHrOhYBaov4g35xviEeOu4WtlK8GPwrfGh+QnxU/OH4qettzs+ssHav/76vz5/+du+n3fvr5/r27f67ev9tfb71jvy0V5LTMfSOBaNPsWjwZx0rxlPKyPATHuXlZgByIISQOhaPgK1OwrpFeDtns0TpQzrTT3HnJh+LieoX3CPaNVRWxEQKvQ4POyTgekn+w6mLGJW/kLVXo2oJrki8xLX3j9/+vivP//0M6uoZDgbmNmGFxVR4K6+t7r5LJT0vvHtGY97PW893rkfXVtV1buqsnbf357vz13ve1fvxl2s4o5uBavryb5Hmxq7u7pUQJF3cRM38Nz9LIilYs106eRTVDMga1CoXsXV+BB1jQ0o1r5VyLvUQL7F73//j6+fv3599O+f9duX/M9v+M8veiLKFpXqU14hihkGhSIZCTk6RvZxFtSbZRxye3Vnl4XxKqhTTbdUe7LdvOihE2P/dswkUBrAzicW0O2EXe/p6JN9XNAmdkjV3jopQSofC1Vu9Knu0Kj8C46mYyDSpc3Ge4dwdRQkZndv4/Lb3cjuKGFhFjoX6uatuiv1/uMvfPvzVfBqF2zT6xEgGqwMGsoHsdjRMfHZI8A9lUHjWPWR7YbFLQNZFpiiiCLHemiNQwgkVnSgE0zEAj94v70F4gOVzQkrNFOcfolCT6oQEYFuJSMvp/h7Perog334xgShKyNSzJBPA0Vfc+x2ZDgnXe0leXTbR4wKgWKjnGsh1MH4CfBg2yViERnGbwF1OAbquw88Bql2Lq0PnjD76J6x27X2RUA7AceeIFGwMSj4arxeZWsC9s09mUY48FVrYCT1a6ZAqFBi8gAZbgpawjG6G1BjyopGw8iI+ewYgLMxz/1YM4/mxXYw99wBwTIaSd0Iuer72HC57bHS+rTDXJWc7AVnSIjwOiZkjKjjAKMimadnqQapDnmR4lAfjpr0mey2EIB6e2zzt2waZadDIeYMVww4hDpLk+DJy+V3MlvcLJo+0cQbje7eX9GW6QE1MdLi+XPeTw3qNRmMeWWQWMwSoTCmMKmpOK3wnMCT8nk0ZeGcgXm7j0JdaHSXe8d5Po+ZcyTiB6lHAAu2tXsCCyLcD7dzhnoaKndCnMXkon+AVQ1rFnmDAiqWd0oS4ewk8yGcXilN3tj06fdhcAXOnTqbogxE2+R5tE3nas1ARlv32MfB7QbKBJagyNOQSiD9dMecf+ld4e7M5ImioDLIACpGWtVQyPEMc4tlj07M+XCkkdMeuQnwYOJ3QZbgDBxsGXZMqYdOBJcYOfaKuZtGaOFFNvNH2E6MqrBO6gg5px2PuQQD+filVrU8jdLTyj/AFhmzkwYTTj4DLSWn5PdAIZgUPffdMFYeY2j3EehYIjsZCTCcNKr5S7tisHkApGCPaDKhzON8852aWWGQlSxzwhLl5tuCHmIIar8so+w0ceUxwm74Pt3899EnvPhiUBHPEpGDd5lvGANuc0ZrrzEiIFTnGHTOT8DBBoZOG+hPsM50RmWn2+nIjfzmckAli3uPjC4sFEBIb1RGl/r644ef/vzj49t+Pvb+1nkHO7flW+3l1EQ1JE6Oj7jSimTCzScqfKMixHhbudhchSjU3vsJPITH1s1UBytyE8/SMPGsir1bEdGeglvhMp6DRSjhXQAF8RJsyvlAfsy3H0IfmB+ID8AlvHmlj7iQ1xsTAdRD+vL5y//6/Nvfnu8bN75+0eff++9/59dv8dy4FXXz0b0p93YIh1PkwaOSH8hkMQjHUKIsjVuw4N9KKSiKJ3eXZ/OO64FNka2etXvGDQ6AKSaWiyoJ6/c0j57FtvHKPmPjJH0wArsUJgu9QN1nn8+PEDWdQkVLmtVx4sr4xPjLzz/+08+frou5cgUiA+sjVxptn1eVfPT2Ty7p6yO+vPfzW+/3fn7j86naqrv2fuzN2oGNh3qXHcxVu+up3tbC4Ub3jeq7tIUd/Q49u+5Esx+s+ewvzE4RbbyFiS5GXboaGbjAt0RUnLDgbkaoMiOhqvev//G//uf99fn4sn/7jF+/4W9f6r1vgbfYjjKEryoyOI1QMpaYcV1vCFd5MhYRKJYBERqbZKtYadpe7DK13pgUGLWKGwM8xKgYXFqmvHZvJLdRh+5QGEhQAEV1pyx4oRWWEYmkqEgwQuhxwwFSeimJQzBblYEQM6YpAjudX8UVI8RNEJalyHoPe1h3aKOeeO/Cz/vDL7ui3naygtlKtILdx9A3dArKCRLT77q3Hs83OtyJDPbZHP+k4A6dtLrNU5MRoIjlFA4qRuahjjSOakCMhsNiJt5pUQ2cKhCLK2XQVBC982XCQAnvEfK5TysX3AfIlmG2UmW7gUBOBgF81o/ImCZTfOrLZSqOJyDksjow76w6Ggh8ZpYM7yaDM2xdY0nYRqtg+lfGYmj4lsk13D2txfc7wim4g1v6Pxrue9zoyH6HgJxYO7jDUBCeNHVoHWm03Yqg2mOuf9aIIExECONunrrmP2ZpzLk4hxMPu7qnJJ/CbPLCQwl9sQmCYb7ao8gI0eVUz6nJs1Oc8y8G4qNoquZ8jeE+gn46dMA9P0KWH1g8ccQ9oxefv8DoqHyMepjH5A5bYiCY7fK3IKfg0vMC5mg7PdMAOj4z7OiI0+r5ZLeTxwIXD/m+UDrgKyaPDqNMmIhIDSccM/5BolWjAx2OQq0JbzuMcpXyg8O2aM+3HiqMM7gL6J4AMBNGgoLRp+IJ2TFtKOAK6Ec9HFTMcwBw3im4qfQiSxQTAyCYVgtYT81oDZrltdTzqv1/VP1Jj21pci2IrWX27eN+742ITCb5mnrVPdVTqVAjAfr/Qw0EQdBEgiAJheqLfMwm4rbufs7+zJYGy7YHBYJMZma4+zl7f43Z6syFOBjREZ4y4+aemZMXMgevC2D/aW8aV5liXFIRmz0umYdBA8mJPhZcaTRaMtDrM1nBnrOgZrWr57gGyAq9uzMRJQBRomxWYLRCKjXcIlmveVkczNFEZIQcTtOUk2iDbV7Epb/BFT9fh0qgOYjSMIW4pDCgLheFnVk+WCa2yDU+kGFTPykLs1xKEhdSrg4f+lG42KLJu+XA1WxzD55NeME+0xOoNWOl5lQyqT71ryQgeNUB8hExPltJbMZuRIpQ+T1S9kROfzrFm/vdSVgIpYuaec9Xe2c+h4VIWsoptBv/3/OAKL2nnmpCoI3O8CKvgGteuFtTYFCJC8C/TA1AjVgUsrJsZrR1zel2Ncd+AzK45H1Pk1gOqcH7zpJ5cfP9QQ+9pqfiuiVpWG1HxL6dP/3peP7p9tj3qipRu0+cYJPJTIYUyFgBT9N8l8UxIwxzVVvfTkRvyxayJVaQyvPs3Xicert3A02c0qmWYo3TxU6A3o+9G93ZhW7WHvQ05IaenKFKBEN8aibiqc4UblKUDuCJuHU+F2/EwX5qHqo+6+3l/Pz16+fHl9fzsbXx9h1ff8Pnb/fHAw/gftZb92Y8ZENnQ54Aa/uZGh4wA2Rv9ExunPCPZLBDGajqVqNQiGZUz2hFm9gx+3BqaoHYg6bZpaIRCFEaMEfTy6ukmIZM0nuSGftCxaujC+woIzxVDHYBHR3cwq4eU7P2rh3Lx17//Hz8/cfnY0nodVuRYFQkY2S9rWChu2pDGzo33s66b93P9eNFjwceJx+n7h3nqfNUi2ejH7i/SW8479qFvYXetVG7Ie4Wqqserd7aW2+NqrqPvN6oRl81MiRVU9G1mA0+CCm2o/7UTtToOndsyaOFi7f96+e//Pjx4/X7/vEtfn3hX7/XX19fT8u/iwSaSYdMkV0KZ7ijlTo+RGQRHSYE1BRiQWQvqF0IQUw55MHXUgdVJJzxYvLP8DQVy+eqQxsspJ5yvcl00nB7VGEAHsgByDlfsh9AaqhaYGSgfA2MrizSuI78izMiKC4XbOODgjlJcXtqILeAAM3dA0JLGw/VWdl1O/c+nuPnP35i9EYQGYGm51FcMAfIKzx+imnQVR6uChlMKdrhdz7DFMGZBDm0fAMlOOTZpZN2WN7iClfOL8ClHZ40F5cyfrYS0E3l1Oe6kDMCnuxlktagafhPDdeNaIZxvERrcJYS+gowddlgNNBFsU97OCK2DMNaejGKjzCgN6XgrG8A9U5kW+g5LQZphHBiPn0bU++uAhexErF7utHuNo3kfD9SdptSTZFX0MkFK5pccf154bE+dHyqyBPK31USfsgmGP5FMe+i0r/RXLmPpEnymIh5a1A4UjtPwJCLmEu8oJYnapaDe34vVTwBzbUv2nY6j0FFpOIKyyDnWU8iRo/xxporshu0G4MIDNW57c4cBO/qQBDDX4FCezKFQl2W/mFGFw4sRyebe+nEJSmb/UQb8E0ldIaZlphi4HfDrAE6RfoJ672jJjAEGK/mByLLXOcUIXxHfqHRYQlEWPJRCMjp62BNKJN5KWNQiMBCOIhOEFE1XM7FPrAYDRbnFfh7WsSuS1zlrtYys24vQMAFTRrvlKGvYRzcuwy6ykulMBmY9rj46m+OesHV78gXTAbYvBA2ACudN2CLjQHfaRyVthorUriUFbraXE53iQGp5U4050ALG3FI2kkZI1RrAwLymWoPt9tvKk3JO4AUY5Fycl23HKKsRgUKpfKrcwHZDlGaKst9u406nQGnhjHDAbHtoY4SHBIHow+Tbcz20dQkr6QrYMqPK6dBonqJpplctgJVLagL5WhNBVBNBMNiQy93SNs9IiBc+5mUuoUwqJRGJia4T7qaeRMzFxtkemFQZ/MPXq3VjKsnxvXSPNLAK9ZZelcTDjeUPnyCYPQV3CNPJ4DQPcMI53kM8GHwYbHKnqkYkY3rsmmyfKRYankRFQ5ZqoBj7gGlXMoQIlSTOAsL5Btqz7gYhqknIG0UZjPbExfvM3cjY2JUfT75eFO5JYmR4Y0IiZp3MXtMtBpLUoiM0NrrUUd9+rvnp9vaj/N8232ifJE2IDPYgWsknWLukRw+Q+qlC+LuFCKTIGsdYAqtkh5nv546hfPcVSMnDTCWIyMIJLtr975z196OoCkUcSq24kRCVC9UZgDK1hKSeAaTPKCwV2Bu5GsADWGC+/F4/fH929fvbz/u+8TJH6/1+fPj1+/1/Q2vodeHzu4t7F3sHHwvGU0sMHlkRCLRWPLkDJEdtvGK6AWtnuUgoTQ7fTaOKBTeFz8g9OBPlCXDUBaqdznczckfVT5sBE6w8zjDlBRL0KTVDQc/L98ZpuGLVAZDJ51+KoAQVKpihPoT+A9HPq88UsleT3E7yKeopIiMbPEB3BG71cpu7o3Xt/P+wNsZL98e52tvF/rNR+NxnvWoXdq73gq9WyV27GKVAz3Ufe5z8tGvS22zt2IXHrwiZImZJhAXaCxBvcIzqJryWV5SiXEEbhAbe2XcX7/+9fM//vh+fn/r7/d+fV1/+3G+nMdWmFxvODsiOoUEn5YZHGWvFXmQiwhP+rFQz+tK3O2r3PbfARMC27d7rAEXnDhNNTqDJGoy9JhUhkwHWZo+WIApG8fAKmcuBGS7nvl0Uh4kpSrr8CYgA2yHmEaZpHBxiohImpkX5CnCGQ3swfAYm13qJHxIVZOo6t4nzrrHrX7+04e1uCeJo9LQlFYgCM/39oXMy1ZlUanaRLTiQmA1uhEFzJ8M3oqGQ2EYlqz7ntHI9JlpvsyF7O8pJu+2JJtQGT3FkgQj+iHPKncHgTIOuUCGaR+mSypEKKLZLVTR8xl8dcdQ02EcFn7hfh0uG0SG4IAwOe/1ujtApvPZB6824jMlkpMsBgZlI6FkBMW4wvwBo7tzu/oil1eF+yeXUBgZxtwBavsgJmXwX3RmBjjk7/Iv7gtXyMy4ehOH/oRz9gzDRDaiqXa0CTTht5fA/vpkIntw9dbU2G7mrzbC38dTraulntna7x9FE+PjTKvrV4xr21ChhZntL3slJNGtEgag7gxdnGv7QE0ofMq8GxnCAn+B5e8U4dvQeKnzXs0lTA3lj+rusMe+aQm7X4o/HyOQWmfTELhbfkjRF6Fv/26X6eqJMup3W/G0KS0Islp8bMytAEvvNlAhPN57anck1VR49kzQNsYQ4ULWtZDz3hwBadmePxl9HrmDVbjTscRJBZJMY+uYlewut+kwZc/5vVgu2jcwqeL02ID2OzSIHbNn20U+RtXjPUILbni1pVe3OuD0VUk1Zti08WTIHh3DdIj0S+K7od6s4HwB/9LZphmO5bKSqXyS2QjshzsDty64mQRrbJgMASsgV5wo/5cSEe6bTmflR+PS21zArYFhkzn8fdfA+k4/ZaLGdDllu7ffBUL7jGmqYyQ5k/5O65lDVsSRoucwTpvgh+k60qeCqU/4UKPPFCf1a7MsSwDR6J1+aaQdAfNjoeYwEF5ELszaDY8NVDFSrfnwAWjkd5wyFu8RBq5/3PYO34d2mAGn1fKrYCu7YJknFZjxqSMFivdWct694YEmUt0J00siykvE/8coAM1KBKb8v7CbiRiDn6K5I0FWJzRsq0BpCxNjOHjnSDYwnPElCnXp7w01cla9Uzb+miQZsa4HynFhjyGv3BH0u4CQ8iw5GDdWife/+4dfEHw5H1v2wPbsZGME7p2iGKEtQox8mADu6HKurLq1gkeqeHaibybiu6Si3h6P3fFaejtbFVVqqXePusypWQVtnKdUfTaqpJ2Sx6gZ14qVx95H48hE6UkK6ggleOu+ZR90792LWGoQpX3e7y9v9+8/ftxfX+6PB+93fn3pz18en7++qfJt8+XUi+J0BtTgdLtVyGCIQd24DmBFgg0lDarJEuTIkvFNeESpPFUOHRPK2++luGE3V5Th+Ye2gzQ67J9spKWZDSTKJpjqpkdy+PhV0dINWTVhCd8ImpcdCA7Pt0KWzGh1n1XXTJBWMrBy3W7x89Pt+afn48DtlrmkhUjkER17X6aZAs9OIU5GsR9nvrz2211v93559Nujzt17Zz2AEy2dW2f1+dhvXfd63M/eu0rdj36c2g1BdRYeTt4Ce1fvrgpt6WGkpnKVxf+9gFQfJ59zL/Vir4pELfXasYADdmIgIrr08ttvv/7zf/z2+oVv3+PbS/z64/63u+47ztBDRVjaY0YPt4OZHUIAGVwH1225lA17QgPGdVc0kgkFNlXjOKUkRrRqq9tFRLM72tI1kzJBOke9jJ3hog5c5nqdRJSiJFb3dRR7ZFCra/DfuMABtE90AWpnOoQZxqtyzehEx1i6g0CX607KWqMWc6VvLYidzNot7dWFEvikD3/g06ecYGAtj4SiLVfUyms6g+Y4BNAGswfhflfBDOfvpA5MheMiwCyYbyewXKSQMV8PKMzsZ6eZ8uKKgjNpjXy3p7k86wsslK5KOgjXHQQ2BrzmuAOt/h1B9cBmA2hNGMaOa8Zl5EQsIlpIEewm66onWnIShT9mdOmqYkig/OFztDQjKnWJqmGNMwgFkhG9bKgmr8STy5HY48tzvpFZgLD6j+0yhtTo2NumSTeyNQ01hxPgcLRGk8t1vTwa2DAFdMFrjLhUEg4+GYS0TXQP6DR0prvARjr41jU+vaNaAtp6rJgy44LkhrxpsukZF4p3CNi9JrvB7DZG6nEA46zxsw6/FtD2O04NB4ZnZM088XD2sEVWVkzqQt5lb1A4RU+jSrUsimSwm+yAcwtLjggxlE1JaNVBWUxggDPCeKRJfthtyk4/r/cnPD2wLKHRjHdFlYuJgEy0Xcq6aCvq0TFtinswDUF3lZqeacjyc0kouqKhmlhx9NZWeQNNTd60nnvLX23br2RiaJdj59VS7eg5qS7IxjiHT7u2pOmqmDCl++CCUwZeXTxG7gZTdxcEO6qUKQp51e0MBnNw2+mKc2zkPr4NjNthHDMhqkMQwwJdE0BupkBex/TEKk9j0kWSraZD/dDqplt8AtfgORvELOnsDIRj45yL0oMmuWFvIyma8lYF9kSldKlVpeFkZp6Et4bbzTA916P7cfkYjiU0BAEYbi9MLjUAjY8tDHQNPSS0D4ZRzahNVrQBJdAzh+DjX5RRbWb/bqMlTOv18FLvxzzlGDo59BwNqYbEMAoyoIDkLIim4BAYINoKteFvy2Gpl8p/IAffxW5/3UAvH7oOu3L21vTv83ziwqAM17fbWIWAVqcEj7uQqY3rRyFM0+RTZIzKRgh8TRnOkFgX7tOkLXPDxdDdjQaq8FPx6pvNChmUwqA21ileaRpuygrDWoGeEFSFtomFMmjlXOyLEKdIPrcikr/88ilZ9Th38SGGqmcpcDIqICC1Jo4q0BFqWG+tPkObONFIiYGOxHFbzZJnaPaqHfcdrw+cj9ouZZrb9FokNGOWLBCoUnd1RLGrA9AGuzMRZwPBVqsPRYiHOiosElQR6pSi17L5ver+2N/ur99ff/v6eN3n66O23l776xf97Wt9e6mvOF+33pqv0nn2Y2NFKNhHOGsQkQhosRenmzLWE7NqZPnGeGYBaRfbwW/dKLyvtu0kY4Q6pAyWfW/Vddl+akIEIhRBKUrDF02NMDlanTEKBEIqcaejuSxY6hS4raO1t0Xawm6cxAZ3VTKKJ0A1k/z0dPz86ek4wANraWXlzQPyyLFoZ1X3eZ7iBk7gvuO+6/HWr3fc7zpPnSfrPM+9z6196txVjfvjPO+oHdrVnahoNXZDRxeEONFnoburys/Ak7ONhGKHcolrd1Yd4HPo6VxP4A28HX2LPMhQRy+KNwArtqiXL3/723/88+Pl8bivbz/O337U376dj1OPGu+xrRyieDQWtySjc6tvz8nboiam3AA0QuuI2y2fMj8+xToYQR5xIGZCtKPoJrSusUtS1ILJVVj8IivPMxieAhSuwIh2rEeqWq0Stl3ErhriIm/D4wBmEJwLR98pDLTr8LAQMtJj00gkkR3s7KlJR5YZiWilVKWBhLmzqrsE2Bi8izo//fwcn8IDzSxcNbsMmZ8yF6qp6kZlgmtcPa4TvjFJd9PPYC5JXLJSlRut9nMK4nI6+CIZeWh0QoNTxjuJay6tq2siZ4wHgx5flSi0XfSOXXIvLxDmJDBBKO+aAMsw/Q9FOa8/ffCnT2/XVa0B8ozTTBoOh3UFHBXrK4NXWouryzF9eRqa6ZgL3HF+yMq+mrmyTD6cSmLuzAUzc+6RgtWfDQApD+KJQCRG8YrRgYleVYRmcJkGPLzgNtdiTpxBTTmOYbY16JTR3bm83fuV42wYA/hblXJ5tk1gcJRZuDQH/o7Cdc8ZE2NNNkzBKDVGctEX9T+ANoN9uQcbQND9lQxhhWsjf+SpczBjoa2qcJFyfZpAknLjIfdC7l5LkysfF0Qak8pwVelyipeLLpexaCQbyPf22JCco4ra+rEJh9PgQS5iyTHXOWASFWCMVsv0AMVO80dymo26R+tE+3QnPkeX6yFjZvxegbAoRWypd6ijTpWdG+2hUQa00CDLPkCX8cfu7q1u9HYXzNozVNner+ioEjrU0daOlw0KgmxVy+C1sUGiYW+s+UJI9MioyTmGKss4sPbcrDVaCA7DOIJDMgZSbTiM7PKReIQhiFAkxiUAlKA1mTjwhCzUuysmbdylEIHMHJJvQFdLY6w3ieiEbZnVLHL7KlEDqt4OAQ8mRU+YwLuJ+HeSk6CQu7o7SnkK3dhbmHgUD1/vCfQ0kRLmNDDKo4iZBXpB3tFI/6D62r0BlE6b0BXgtt22hb5k7+Tk16M0WIXslDYvCrCZNZ+egPryCQyPd+1yXmFx2hecTQRWQBE99wg8H7MxyUpecmlaTHBo79BRPbg/B9nvmctFZY3tbQx7lqyP82rIiNQAECLjChejcE2khPt1n9Mqt6EceOPqE+dU1GWIQbxv5BFO+jP23IPToHHQjZiK38foIGTmQ6ZD9KnmdThXiX8CYadhS6BHALlXD07SzMXJmcVZV4wCqaVVT4/z1HrET/ttPaoXXs1Jc3nja0YioLG78YDqolKAQIk4m63z9TzPXeSK24HFjp03rNkK0eK54/Wut1qPBx/d279DQlUUm8cpPBAFLrJCXehuqIgtTUzkg1Wqx96o1jqjnwNZsYDeDbLEU1kko9Hgrsd5vj7uP779+P6i79+/6/7Sb6/69Xv/81/rn7/U146vL/zx6B9bj+K9KyGxIztEqsCh4zks4kYdtIKPaEYw2WroNFsEQc0Wqzewcd1xCChjyMKmnCgONKpE5450zNgtu25aMxl4QvTU5RB9NBjbyWkWu4KF6qIopJDEJpQr0rc+Nc7V7vt91+NRpdd9fn97nLXjxhLjp5//8EEfbuv5mVzKI9dNt1vwWHmD7d2dvE9DC3XzqLPivlln7IfeHv266/XeqthSnWLLyb6PN73do8+o6q3yVIeq7fXbZxeqS6iGZ0RjCTftLYXigG6NJ+QB/iz81LwFn8CbmGdyC6FkxOpn6lb89NB6e/vx7cvXHz9eqp+//Dj/+i1/+7Xf3vJxsjO6qrEQ1XbcuHI8EHkap1q3jCPqqMhmTwD386Gfb/Hx6fj5p+dbZGYGVyCBTiCA6EggMpsTze45AU7KmfK0IyFBES1WZoQWgq4CGqo+IY96kbprdLX04KmwpcxR+5LgUS4I9UEIY2202CH4e3hMu7bKbAb9vBggS+qO8BQgoigYQgsE+4B687zvE/ef/+H28x9uQRER+0N0iJsUMxRZqL4I2cuqaxhmGXudCV1K0n4sTtSMuAGVLQDVirTwMnzzl8cNo+Iia/tSQ6CDp9BSOUVZOg3UexDOADk+0yNiemGIYATQ79Hy08KbY+V1zgooIuUTkKF06W/+hcUQkjOhYWYPYFA5UwQOHrIO3tqDaUpSajAUNeWeQ8A117/LIwvfB68Tycmlaqm8uhRIp7c0qSCQypF+zCXngrmlKpt8eQGx8zuZhpFHeXAJNuYOA8wcOFz6yqUOdQPRyq72NPfxoBkldX4d1UOjcAgwoNy+IWFcanAxCLTTNTBejcnh8O3eCCYG8jX+FUQhUIRSND5rY9+MtGo/EaEjp2Ewst5X3mdMIzLmKxBHMIJ5hWdTDLAzpWhf17AMPSRuiy8sY3aBNP5rWlxhNAzWX83uG93aYM6uRXJqHgJApa3nlnFPAJ+LJe5RDXiRZbnzCkfCD8svmL0aVUcSCxHXQ7iIGs4qR2WYM1V0s+RgeXSrhGqqdUrbjmvPtFSXpzl2SdpQgbt7t7rQim0msAE3Fa3zGkd7Fk7MhBNX7j4n3q0YYl7dpavYUSRuK9HVQsxDLvfOgg0Lrmva+DNprQkjAvE7xhArgi7T3ehfli+oQx6O3uwgotqrMKYDiCYWWeK1y8PatcEBAtJGO7/YXWPDKcGitS4isGcW1Ygzpqme0y6cR2ndSbfJFZzVpd6tx9aWHjShHLtBl5ci1c4tNrZKMu03pTCmWm8bC6m0/AjQhtHBS/xGsd8ZwOuUmIVfogNMMBD/VfJOge0RYe0Rr6m4EqkmlQkXCI4pwUfdE5JVa++R9ZhMlfidxxYgdbjdkBAFuN0bkg3q8groNqfoktpD4TjHeEOUgTafxXPU0hDRkMu4gmfkAZoCBAfY2l3EIGh1YA+YBUA5AMX7JfJe3I+MFcRQeG5wjRNw2BbEJH8ah8JkRLIMK8y1RLjKhzBGFmP+Pt/8V69G4xLcydadDbJgyEZYYrH4FE9/OLTvfZ6mGySqg+zupHuFUS0aO2kPnB54TWoli+dmtb9fRSgPMI4gWarE2fX9rc7Nt8d+O89zo5qndNb28s1EleTBqjsB6GwfI01udhFVJVSwK3waJBnhySSJKoKx1edepd2P19r3+3759vLtx+tL3Xft8zzx5cv5t7/Uf/zt/HHn6xsfZ927S6y9kUCy0sEIrcOD3ChnRIBYqeyIQHeogy16glxA7OraqIuyRXnhsrxZWJdyU01Et+UXccms2rlcoBPxBY9QMtg17I0kdvC6UHp8HcOAGumEJCTKqoAmAt1dlNDKXXh7nG/nuTuk8MiDG/nxKf/4xz8cqz49HU8f1/rYeWQuZmwaZaK6saUfpUfgES1oS6/3/fK276+637Pu63Hq/mC/sTbOU/vkeaZA7Xrd5/2+99tWqfYu6VHdW7tbJ9q2J6hjE47o/KBe6lvzqfFB+KnxjLgFbtHLmNhqZaOZUXlKDYnn/fz+7fNf/vb5y3nPx53fv+3fPj9+fYnfHvW6ez96b4AsYzaLcUTEjgyPwXx6Po7nlYeCWomV5ubX04q88Xar2y3WwspYqXC5EZEQlwiHsHRzgpy67MpYMl6eKiKD3YSyt52blxZ3YD5UoxqlhmMAzR1eytOx/fue0/th2oMbOltbRaexGUjP5qJPeGO5DRO33tmjg3Ckvz+EULvZnV277vefP93+9Kef7+ve3dnb1bmiWIiWFhGloK1TY5W8qMz3I9LBRBrifTDryWmYM1LvesqppOAz2co8jI9+GDGQnrk5d5F7Ym+fCqkkVg1TPr9M9JgbXykTUx8jLmjDzxaxjvaZUI9/OiFfCrjUSzEZ3hPZQAOv9u6Og94Ifdtx76jnogVLl3tbl93Swh3ZJ2r0Kee3Gd+Duw1eEJ74PnoTCiIvLH96Gw6O5RprkIxRf/Eq1HzRbOOEg8NymjifPaPnMqrU7ZQpVCGuiw16N+r5kwxi7npXfH87nvBgTUkM92IU7XezWuIi7UUzGh554rjr8CdCUIhatMO1ra57PzLpnFcQ3UrNU4KwrofCC9B914vYn6b5D01cNNWevEizaS3Bo5YgzOQgExIMTeI+rmrcShL3MlscroGTKcIpD5nS0AHh4mCJBMvxoGugTMcMCwNqulns6VXey4kLo3EN1CPzdpmDebtjko2pAqVWVPdZ5WL90erqau5mNQt9NruxG91sdMFDHgKKvdUMpwZ1q4jqFqLLSQlRkoJ71D+o2rv73JuN3VXtASDsnuQgCyIIWTbnUL5uFVKwfgaVnK0aQ20EphN2w8jEVaZMT5QuatSKBmLNPwoHeIvEcgReK3UJikCfsAXP2LSrFJzi35ZM+VHQmDQbOanv9rXwiquaPACrH3jd1UaQ/WsoodlNtGdMimrVnoOqmtpqSZtqnZCQaJa9/u9wYYdGFpIyldK60HwrUtIfBCPJAUxhmie6CuDEO47fiIgJuZLtD8GallqwndO/crY0oAx4wfccYMOLAsAl/Jms6BqZ98AoGu0iAhMBWukRCg2I6rjiETQ91OT9pDemqdJuFskgyxFKQU50urcMm1aHXo2HaI2NDVreqj7E1DOBcN6UMobcnLsIxlXeydQ5AOaoaVMaAt+H1V87VyI9JG48KXP20lOc3wdEzn0EvB9DJgAcHDXnJwxReI36jmoECs0OSFnttCmoWar4WbdPqZ4VNTxUR4uB3bM3q6vsIIJEZk84iboaxX1i78KpJJBHJXhErsYqRZTwQDzAlzO+vfXrZm1Ul4rn5mNv+lzYidbZpdpqtXKf2p21TX0LjELX3tq9d4tnq/Vu4gmpNzuAkvbWo/vHy4/P375/e7mf31/Oe+3vb/Xb58dfP799+7Hf3vhWeL3rfuJx1tkXbNZ4pwYNymK1lgG+BhXZyAmV5WK0IxlFsbq7uK+wAopYzudTtHrv3bqSSmzZmJHB/nFvcu3pjMkr+1XX3rLnFyrCcsQuXAZAVLtllNBIyCHlPoGj1RVE7/pxr5dTVrtWqTcC/Cme//Uvv3y65XHr5+fbenpai+tp5bp49uhjeU1oFzfirngUz933F75+1/21+tznY7897vfu7rVP9tlVtc/zvJ/3+3681eOBfaJO7LN01qOrNlro6g7sze7V+2jmZjASQtTKeCaPDEc5pMJjJFlawqIgNiPF87x/+f71r3/+9fPL931/wW9/vv/66/716/py1+tDpz3oGUULvLqN5zkmLBlUPCOyPhw4khERt2ZUHlqZHxZ//nA7nMSACCTfZ32nR3EUWdVdbUU3JBXscuJ7Jo6dz90j/NgqnC3ZyXwpxV1z6pJvd7is0XDdHGDWXbj1NUMjDrQBSjlH9pyVh2sUcwRyeSV0hUrdjdxp4QSiEdhEQW+F18c+WZ/+8JFxRhBYJVaO5hAIquBBppbYoGfdyNqHKzpHw4AuJKwoDBoDafISY6t7jsnBtwMzXcmyO0oDPwLynRoXw+xs7MbkHROKa9DS3Njv3QUM02MZ6BZsfIqR8pi9EwzSUeQEu/qnOGpwq4L3NYfA2hVDPeW7pMsqvBEJ4bIouDw0paMLg7Z90g/QZbv/xJQJlHWSYxZxF+CrZg7kMaqGRghijPTqA2Dv9CiHfZ4D7YzoITEEMHOyHSaLKBQy2+7LW5BRIjhlARhBEISeIkdepZxbVeo5zwS1q4ffnyjEBMt1bBeu7hCSioWZQCVfnPNQZBQGkbSomEi/hsnjwcQP0fI7/6Gas9U7BLyUtLwCPTjfh7Br1Y9LlwQ0gIuYMV/p5xqK9/Ld9hEa27nCmmcm3Mh3YgpLGzna0bTuq0CYk/Io6smOMO5vjGGaw9Ez6d0xAnr27O98SfP31hhTTPhWm2YBduuSqxSgukaI3puZailC3Uxoq5oWSiBUNRU6BWDP9iRRu8lwZaAUSwxUK9yWVjeFjqDdxxGsUHZuMoFuISWJu5Aujd2wIFTbZdKUtj6/KjAvUEbEdb2rWOEaywqthkz9pbMd3aWjCRZ9JEYDwXBca5KbgEcII4AKDiN72YaBDFGqKfS6DQYUKma4BIWaKrCtqFYoGmVBv2WMLafRTXo0J7fKdV6CNRRJhK5BjQKQzcYGoGUlcszkDl4CSH/UlpxMxu621bo1J73Lzpj1mcF265GBcuInLxie0x23f6kb2GqFnad9oTXzYqyCI9BBeLySzdfW2szADUhXyFtHcVJVtS1wUUAx/Kh/q8X4HFyyXMkM+Segm1jMQY+vnsrneXCMxyoxPAZNo51HAAVdGZk+IYfVDVoHAPyOOkHXSuiAp8kbSfkXe22QtBDllD9ae0XQe8pV9PAphTbI4ylsBMoi0HYQms8zH1+Dh9DD8xCCjw5esKB5YXVwgTMvhACoiCyPBOzbBvIjbx8/1P7GM7HvdbZ2q2tUgEHDzIxsFAWTodF2EQHNKu1Cn+zNeOo8xOgI9jPjjb2Qj1XYryfeTr3uOB9xnv28srtbOAuxuXh04NFaFTsiN8mHeODQcdzOohCLrRPHQWBrZ+AkozO0E7GDAUXXjjhLj+qXH98+f/n89X5/3F91vtTn1/76W/3tN/3tN3x7y5fG671/VJ3NswGyM2U+NfySxEyHYADBbOaibeKA0BGJho7JaG81e+bzVdjoJVjDwavaMgukFNXkQlcMCTA1GunTTnMQGFIblcFEy74n/l8+Ske+x+Q8pgfPVnABiMJGBJlRQMS6P863t0fVBwFilbTIn3j8Jx+OX9bt137cno7nJ+2numfHcZvBlhsbSPRJ3YvBddaOJ953fhPzBn5T5vnTT2tFn/cdxeM5mnsFcKwIPSpbfOj8GOon3ZiFFWLG3lAfiROxGLghs+OWCiKZT5Kxy8xUiYyFvTFzZ7KwpVaC6vN8efn+z18+//n+Y9c+vn67//XX+qfP/O1NX172ffOxsRudRHQHEogDSWlFHJELx0fePuXxISIaGUhG5oo+iI/P+fPH28p40346ooV6bJaDmLeAMWU2CpZvV03p0A2OOluTkWwN5W5UFxuFqK0FOy59aFBS21vuVWAPiX1QQkVc9C6KrpDYEwaByRQuFJuutlk88yR97Bn49CRIR+QEVNEHjNrQP6kHWMpdGfj0y5Oyqjq4gleBGPY8J7Qh8gjLhRvt+YS/X8oAphiyXs0sAC9lsnE/SIhY1+Tsvq71iWsRfad6o7jYcj02/i+E3gkSRyPZuJhI1fsVaTudg6NN9holvSo/DfuQv8+ub3kssGsqWCDuAHgwZ+aUz3y3UAFqynG+H86S51pdDMjlFbsgczUsAXSW/NyBDpaVPFxgSJapOWSHZ8acOCOQcggNBEYCuyuCKEvXhYoG0hNDVTZgTeVhNqlcP0YCFRN6Lnhem00IBRE5IdrDVg8M69dx5dxN3zrsRWhEXEhbX2Qeu1VX/AcZMQ3FFQFklVy40Magg02k2ON3QWfMfM2g/WmGTTyyzLUJ7EFxihPei2LfqO2l6JxFCGdbNuyKYMQOUY7ZdcXvGttQuurCCy9eZUQN49cyQ6Lyug+hhvcBPfJygKOprLptKcKQKFfQAzHrWuTYETTQfviZ2QfKYYjn7Jg+qKcyhDc8fHWxUwtbRQRVNYfZlkTWKYY2mYJYDHKrprCNmrsIbdTArPl0f6XKlpaPuNmgCDCydytyQbsIBVYR2uQiPG2IPXkzobYDqhDUtrAMqnKWzVY7Aqm6cyLRp+Hixnst6svUEpCmkGacTcYoEJ1u8DjpjBFtRm7uYlkIC88G7WmjBXWNgM3Ym8pNi+IYAvAdCk7xIXMJZnrBYItAUupOdWsCisCGBYIaoz1t42WH2gMmokMkLcfbQKCAyfbuid0tRyjkYIc+MVAIoLdsffIgSWtwNhBd2qFodTAZivIb9c0TPSCIF2aCQzd5e45B0qFgFzQx4LSLdIVjJxKjSe9BwtHp79gxQ/ymQ5ABVwIG7qp67rm8GkK3284rk3EFiSFUew1dA/4Yik5MPp8Bnh5X9dXmhFgDsftoZmCM9HP++2T1SpmTE43rz/q0v6JsMXSdH8iAUJEDBQSucACDU4iwFiKcIBxDJ3i1wVl305JR7fk3ZoPjd+eCDeloa00BaKLNnD0cNIm8+sPH43jG3qXd+5QrT6N5kw9FHHb1NJzvbC6HBS6n3bA79om99/G8gltQHMnlzeJcHe3St71/qfXtRZ9usQ4u8TwrI71bY9V65HkrZkeFMm+1u479qHWLTnVZfcOOkB67vycz9CmypDi7olp6nOfb43z58v3b969fv/64c8frG1++xvff+m+/nX/7Ed8evJ+63/V69u58lN0G0fS8KQTCtwspHsICPRGUzZyZuxnOIXb2g/c+oS5wtNsNLJovB7AbiWy1PQNksKtIorvzqoF8fQ/gSB/W3gTJCQBy5dIeNxIR7BJSvvPc/21MukRTVISHEZcChcx789vLeX8UPiZ6Px0IAH3+u5+e//Ufnv+37zsZz59uj9deN92jLKmNW0VZoYRHtx71B9bC2sx717c34QgGVuI5Q9XdW8zjMKyhKnKp2Oq4c8M3K84o9I23DSjq1lBrY63USuEGZDMwQzskIcSaq31JgrbqZEZilX59ff387cuv5/dHPc7Pv+If//n+z5/123f8+mO/nHwtbJSzGBhI4ViBFJbFhp0rnj/cnp7x9DxhkmJHZLB++vTpTz/rp483W2vPzNfzRNQqnakQyxegeovsbM/A0AXzVbt0x8QXtJrVplLVSN8BjroiorfpxPf0UYyoGX0N1TGsN4AnFErr+5jDPYAyyBGuFRZys4PsXEKnh8Cws6HdXOhxzaWnCvrS6KP22Y9HQPrp33zaz+rvb6Eb0659YCPADlsQ/bmsFwkM4eGj2RUN/Ais9blQKlOiRlp7Mg4uzb+bmWVZBQhJ3cwowcnb7hL8YODIVmExd8Dj+FxKt21ngCISdSlj51QOTiwXCuEcH1egrkldEL0TbqZZfUlPpeujv62qCl0SYGao0NBFQwz6BRY6h5nBVZkOYN5UIpxoM0lL1v0JNDDDwLj3/gXmJIxeN+QkYA741q2MKW1l5pGeIniprUYzOwWn48399eV0+IsHx2ToCBdcO4ZLmDtlAQrloNPhViKFHjZjxO7RZVjc/YqvO8xPGMN0qMHvbZWVakOHaurpsRRTiulEA9GtWmEwHWxdsf4odIzHGLKrRnO+Yvh5OslntSrHpyX3R30VB81z5sq2axILLZHDECM6fFZfQqV3dJhQziwfW4vchbZbHv+DacHG8BGmiXgpiRAMqWuiUCXi/S+ZvZ+Ka2ya3m9+kRbfcTo5AIN0ug3Tsl3fulNJSs7ddcWHk9EWB2AwTC/OSxMikbumpi5PHJQAnsNJhhoRsdW4Rp5NK6MSkgR9gQLk9KDWUqp7uZuq6zs1GnKQSFPqhHRe+RFIEuW5ZxxitCW69kRkAoVudEwI7yXWk8SmwZwx8F/GmQ51O3dpyi12N0oR2MCCJsvSQ+CHWeoGo+lCKZqSoiYBaM5ZxCTdk3F9DEyIwqUaFJAwyViQJ1sVKzvljcgIKUPyVJq0sjTs1zHqc2VSeZpfQ+pukkqERr/n0xcA52vSJOt7d+y+12+bnOH15r8UDYZDnAPpPgeBgUMtHpLxfLK7KUu3ev5SKnxQzZKmYI2QybGyEdyUn1VFAHs++4BIBhwuAD9CVKp388LoLZEw1RxMb4sY3NXURA9gAM6AYBPVFljYczu50rZdDyJgjwr9z1mi4dSLwZMvCqJJM4mO5ptt4N1MKMSiMMe8hkmdEihiSF0QUqfP/4vgNcBF4WqpwgKsIYWnn5q83QZ43p6e4wlvOtWidQvVvbcQIZTZ/ennw8F8aClbAPdB7ha4Vaf2vfdH5RF58Pyu2229Htf1UlT0+ejXR7w91Y/X+viUj7cD7Um7tVSxsNHr1AOIFPc+tfr1vD0tIBWMiBl6eO4QxLcDPx+xz1PVb1X7zOrzpc+3Hz++fftyf33Z9RZvj/ryG799098+799+4PN3fHvo210vj75vvjU31MhIrmhQSkpFrFwKEplIZEI8HRcg6povaH+fKGiRbM+A0hDNHbV8A7SKYL8ruVyJhJvF5Vcn80xAg9UdQ0WqoZWm79QgqtKzpV3s94R3md6cNS5tIZuR44SjwAVrbqV423tXcS1mtPY6bvtl//EJ/+W//lf/45fH67f7vsXzcTw+6P5sxT6WHIPB3Z0rBX1vlGIdGVvYxdcNcd16qz99OIL9A/VB6A9HHg32WVqM21Gv7EZEn7pFZuwSDh1rr8gYj2cfnSejmKzEiDlQQqA5A0AkdfRW9moU+u3ty+cvv758P9/uePnc//jr/Z//or9+5l9ezi9veq11ElsoTEnR0RmpI3spElyVH9bzT5FHMTsiW8IS+3z+wD/+cvvTH/XENID3aP5mwo4wqxpESZb3n7HfT34R7Gh0Nh4XvMM5wQ0aGanNyxNXZYE8LAANV32RTsMsteJCyDzP65KHhYhRV095OZgUI9Do3sKEzS1XooDDKnzuqIR1IdHTNSDKIR8l7U8/f8pnnD/qoIdgo7VjIA6fON2MS9lIoXOmys88pwsST0iuymfFWiyjItmtpEKuuqRlQDqNziV4yXNgmNyHGkmNxqLhCJlR5w48YgWPzSzi76jSO0mM0RANKlOC/RmwSkREcKpKjfh+DvernGozOzTEMtTGkIriJDu4TfG96lTz9tnqWjMIsicBg9P2osx12FphV4//TgAIFhnj09WVAGXHQNhuKWGMCqNcZasNlzc8YVkD3A7qbh2pXxIHdPbTuhxnmGrHOJ17PR9fDeuAelD38Sxd+nWHCl4oJy0QHo2AANHyo05Gc3P064ZLJSy0kJWlWtFdGG2vi8wEmwwWHNV7DohCtNr1QMWcuHve1fXZp4qIQPecMSAuS7lv+0LRmf1ymRMa/8rEr+AiZXnV4Orm1dNp8EFYliRIXLBQ09swN84YFdiEPiLFSjnUvQUwzFd43XF6isl7dCXZQ/y56DMgzIimUmM/wO/0CwJYIMz3+2Bw8LBbJQyeD2h0Pa5136OzGmLL54xrBP9sSTEzDabhqVZwPj7sxSHm+XrxDZzJ7XnXTEoKbAP88/xc/tFxZEFGq7qh2aPdHa2dwR6VUhJhQbzExq7WMUdxQ8VOCbZGOZ5tYJQAUSB3NU3lQq3J2RrcvIWckguNdiVoXV8osmyNxShYBIaiie66lGhw8QpQjIh5nm5/e0Ldw67omUhdSmc/efZg0+6fgliC54Y3bUVAqJHNYhFW93W3sI2oWF8D2vkUak70pW8mN4gxR7cZLwdXlRsCTTk9cVZTXVrwEiOaoQFzNxgabUReeDWY6Yz56ssGgIQNFuTFHvj/7+mse67OwHQDV9Wv6fcHhBGqPV7EPKsc3zp1c9vYNNNBmBqzhN6hgby4Yow841Lq4bp4MIuYv/MiAzZ1YIYty6STlVhXL8FLgDQRfBelawSaLYWjH8ayBvev16kVuDIjnInW6ugIdDA479XdBd5bOndVoEBESPmHzOd8PPY+URWo7l4yPRYM3z1WLEEMbkSCJa4I38ddqpPdvJ/1EUcuZLK5daxeVAlkZmvnW9ePR30614/99umRx03HWv3YxSyE6hGduzJzP4qwSOs870Kznnib4cK45bFKjV2PH7/1+mEdV6vqFbtefzxev317+fHjPN/4eOkf3/rHD335ev76NT9/PX+89tdXfn+crxUPaRcfQEcvi8AjCoW1zJZ34mkJK8hmZOREzhLKBNQRQU+SQvU4t51XLSBaZYGwrwpXID5k+73R7s0In9+jR4W72FEDEV1XEJWZ+K6mgyPaJ7EjkrspilkebL1apabSeF6MSg9Z0OO1X+536vkWKyoidKzVu/+rf/uv/rs///r59X5u3T7y+cHXBwvUo7rNUgKZAu/dPxBdWn0yk72/vQWA9aXfTt/Ux4F+FbtaNz5lnRnP2aSy9OpaCEzPMmgV+XyimanunpbJKzwc9NaMqfyqnP8R1aHALurXr1++/PqX759f3l7Or19e//LX+u0/7r99519f+Pk132q/oc8ywgdZF5zsRCSY4MLxMT/8lOtJx8GVAZajcm6HfvmY//DH45enPBaxlbfbjz7RPyyHGHAporu3zC74BgPUU5KYgIOHJ1k+S7VNWNb0lusf7+wSWGIYS6T5++juCLKqIwBPfGJloyat5hqWFGJMoBcC4bk4SovAUA7yYKYGb5ruAeiKOnBQ0dE466FeWlIXuhRPdBqkIY2ixyQftRFp4f81Box2sRKQdRpjYIh3sYmRCHnc5kBBzu8KweGVbGf3KJxkriDLVaO3Uaas85QQCyp6vThW2amIRkSiqRxNqusvcKpoXNgyJtHlai26FSEPA6Mi2BdJHGDnhqg27xLzZTnQDC8UjXXxwy61yAAKYMfvD8iIznRhw0JbYzLXmO1IThynRTfRvlwgCDmiH6/v7jZQP9cLwmokOAuxBAbDA8BclfXk7aF7kK65/duJsrwQNiOhXsTvxJQuDXb8/vzAPXpWKSOuAM7pgIbaMdOpa1sPJW6p9VVW2kOo9x+SqQPRkRtkdnJaXxMMF/4GT9+0dQAkRtdmka+Amegr9oQKzqdrEpO3Nk5CXeWDg8ibHSONbgdFZE/j5MX5zqf0yDUJQCldkmNYB26jiiR4dTakYnrIFy+vmMubvuRu3js+Kq66UV5bMEA7Mfv+fZq+2nWvx955KEDKw9BHZLBcK4CX3bApRKtiJApBdSeio0SaRBSj2qGv8mQhug70LqoM82NBWxX9WsxZ7RbFZLSuGhjTdTRj+bk3igCqlcBGNZT2Z0rpDQJuDf1GSw0IKrrkqanc/jZWRFj7uNl4nMrRbqukJCKKIHYwOi7RBjlt/vbsHVW74neN74RMg6+QnTFqVOpAjM1FAVR305ElxTJnKJXV6zLIYWKRuy5DB/nOB/hE6QuLgPe/avAUBqp7RfQQv4Jykmous48lxJbPCIaRrd3yAWKsmRcWokYnhQqkkYGghIoOmbFKOtqSU7tem9pnh6RSEHKFDndYMmBPpfyATSRUkdnWWQ2k0MSM8t6YNsKgObtFxQp3SQ5b4gDm179zMxDzraJRMDbernyrjECFutS+pMPajZxux+W8SqYn9f4131Gr4XQlRYfmpHxH5CimosfA0O8IiHC1CYaTICXZiEYPHXUNPTEhM4Ijnz7johBi2AnYQYJWTJ5B+OL3dZL+Ll4wIJpaVkGeu6Hj6WnlyvbogKrtkAOyLVgx7spAd6zWzDO3xf9I7FLu7sy991lRp3g7YimeXpHBiK1ikJWAAvFj68d5/vS2vudeEbeDasW9oH1b8YhC8AnBXNQmC2upC7eI6kBmcuEUtCKF0np9u/8AwbhB+Tj36+vby/n9+8v97fv5+qPuL/rx1l8+78+/3r+83H687JfXfNzrfuZb9WNj+yA0+52eejR5GRGRUZ15hOXE0+fDCCoi19haCljd4kwE2OW5YJDseuPk5gFXw2eiEFPog7QsGC4UYa6omoZ0MX247zZDeMYLrwPcd1QryLoCBTs9nQgAi4xyGaG1bmfX2+Nh4NGRKAhs7V8+fvgv/92/+x++/fje9enn2/2NT0/FM1/vuO+deXMc96lG8ERF1duKj+pCRvfrG8A6TlHUL/FcPAL5rH3v87b66I711Hy6Aby/1lJjJQ4cOh44hehjb50ruLlucaStEgrgFFe1DtKY9SksalWfj/v984/ffv3z315evt3v9e3Lj7/9df/6l/rHv+y//Rafv/VL5YtYQgEdHVguVuIpw+lOGfnMTz+t52c9f4rbSsXuZCIzdTvij3/3x58+HR9i3QL9seueu+5794xm9axLj+UlpKKyL/WJZkIo/G9qABsKG37pp4IpCGX759Wrx/IFbvfibiXC7GGEmXC1K26BpXJYa1qcgNFgtqiwUoSAMsAiUgjUFkUtdXBN0rLtx62IbGLhQFMlPRodYlbGAiJHkdlk9jZP2mJeAfbhQUhDPlrFMJmvQoyoBLpu1pH2+NAXxUhOghIW0hFm7YUaSKllJL0FUSkHAZl4azngQa6yVNezYNt94U90gURu0SkhF0bZC0/fcwkIDzRiCWjEIqRGX5vYWxEhbFym2Mk1MowllacBjU3U8hZmwxKXjt+tpzb8aRBif2hjus123tF1D2HALV1YlJn6C4534Ze2cOHimBuSAmkBuQCPFPMXmsbk0pdqlB6WfkMgS+SMa/Kn9YE2Aj06SrHMcbiqDNvU/P3CGiBrm66CPxqdmHOwLFR/h7ZdHA9vzYhRxfuV9W6GUSxLcfpiwk3FzNAnCcTS2C8HwJZgF6A6Lon2aCAMfaf7AOMwQXYpJwHxXdZrSsHapJ4WZTC3qx10wghNYOrqDV3xx0weY3NcdUiqvHFioMyBfgl33uaJS4qx8PRsLc3w4IC0yYQRLAGlaTUVU4kVlfC793t1abL8qdnaslDJ6w5X67WJiOqgfb/KHhjSRAhgrGsBUjQqFLG76AFbbbGhSy3XcEjEFftjG+lAWVa3iZisCpLQlogllTxfFcGajWD+ECN6IAFLW6q8zNSWNlLC1IgSuk3BW0booGw6MVHgEhjrvekKZxkRZHSliqECbXnIgi5A2rc40Oyrb24HJypKjitvAde0PmzOujUMjKQKltZEwdydJtsN0VYCTY6pJblHkxzGcUrNuD6G+4e2e3DWvfmWFtjGZ7VrFp0ARezoMDY0xmJj9VbrmI+3pcA4yfhVQUJpUb83LzMA02VWo43ozY29G6OOVoOJ7p0uXTHwoFlTmB5uSuVC2RTKO2FHKLoLFCK6zAEPsG4Ji4QoR7l1uRrLIS5MfKJaQTYCa8YwGkL3RTIE8ZDYno5owtWS/3e+D8O2mlqY4wd4vxSGfLAmSmBwDGGiKYEw3zLjfK+EVoBz2Dc7e1LLNFywx2PIXM5EHyNGADYsitseZKg5qcgM/AT+L09/fOTHR/5YsVfv7t7d5cJjcxo8qEPR6PAAsJhR0qc6MqO0987KR/X3x/3n43b7uPKrHrcdT1EvOsSGKolSP/r1zNendbt3pn6+rSPjbW3twH1Li47VfJM+JM8uMLIfr4ro0r491kOZgVsycFYFIyNTpTrvb/f7y8vL15d+edVjx1vhZevr9/jLF/7tN36u+rFvf3s8vj3wUjqbr+xTIpBOG2nKiSCxI5K30lorfa9GNVbI/ULoiIMruKJPteOB/e53TZfYG4xhyjFUOYuiKkhUjF3Elp3JJW+vZ84smekP03S+2oXXHIAur9qQKh0XIDDeBavV27d9x9rCwcZawYpa5P1Nd6IYb9h/l83i6o9HPv79n/L/9J/+4f/2//3rZ/KPv+Dt0RLOM+pc570Q0bqHDnS+cVUhWxH847EOkFK9lfT49WtBxx8/SLezNzL4eMubcN6EZ57Pen5aeFZHZPJDQJGAVi/0kaL4dOLjqk9bgdWPs1c8qSvisLmwNnj8OO9vj9dfv3779v23129fvj++3B4/9vfvtz//ef2P/7z/8df466u+PPSKdjQPudDopbgV10o1pRWBZz7/lB9+zqcPvY7I42EpTAaE/cePx3/+8/pXz7fnY6X2nXztfNwfDwiR2VsMdaAZsaFoaCTd2ai0KsEUh5m+cnYVUsxUndQelAeoJlEi7fK1qv+SQbs+9TnbazILLDuMDN9BKDY7cXG/V+ehjhIyxe2blMqUx3lBjcHhc/JjRaJQJSi4z9DG+Xhbx0/xE+//9NrxC7ORZ0lrdXs8iA2rkqz4p3jC8gUXGi3kFWdsLA6+MpnDrXtOmJe9IlZHN68KwGk0vNggP4hRwEHdtsFfIiMlDFVzYGZAUqvzXQIkCLHsLSVAhAEi8SpnICkyqam9Ayxru7oRlPNkEch2TE4bxJlkQDAm8rc1CcAz+NRMt6YqNugTUiIU3e2ImIAheAjiqEUNYBdjjOSXhcA/L7LLmZJygwYRqitU1OfQFeLhsbIUkStMGwzQPVTx5HKPrKyLAQ/S7NGzusIo+boLxCilLurfpbAnR8WFmPUF1g9FFtJF76WVVbooEZkdsexr5qnLTZEVYo4EnQGkSKOZVoNFS4lWeMM5zMcSquHaXIdPFinBy2kxqpCGFtOqzCad47rgFMak6Ve0xwksQGD39FzG1JnT2Hh9Ncrq6Vlbc6cPNZhOgYOVcF7Xwqg/DI2WEKOWtmlMVGMIFpcJbX1xmVNrZQQKuCRguHiOobyC6WErFea5MWm20pXGO6Np3LEhmAglFMjSviIrroIFk0oCC+Ym0gbCUE4yWlLzcUyYl9ccW4WZF04IbuuGnLvcQyU7IICLqiusZO/2bC5aYWb4t93POXGgsdGbSiyogXY+B2iDjK0AUGRstUdk2j8u11rGYUeUJQb29YSaRXdwsuFtVtNo6YpNJ/qzMLrHdyII7bgdKwUlaQatuWODuROMzMSVcFk8HJfWxCFDm6ItxLaOtJSRLcX0x6x2f9TvsV0Xl2S2ac5V2BfhjRwcj6/z5PuiaiSb9g0XoAMoRoxrm1cr5u7DAaw1X0GejRNw5e9BpKrOyHBQUkq2LrVtJ5x9EgN9+k8K7jxNj7njUZuka58uyHQYgMoBxsloNbQC5S7VLA+spqZjNewMcdoQLH/04wobeZy8LuDKFeJIOtCyIskzWElcfloRuCB7jM55QgF9SADjKMJQM3i/GZiYKK4RHE73QaGQF0UM+pJwc1iyVFoQUc3l24ZNqDpWqIqduOHDhycBu6qh1mlb25B1/Y4dAYO8yhpaxWB5w3R3lOLW6trE83rK49N6fCOWEg0cTGHvJsR8eeuXQ8/E46xvb+KxPpAFnSzkWm9nKsU+7mRweZgUAj/28Uyijm4dOIWkt+je4j7j3Pf7y+Nt149v99ezzhe9/ogvX+5/+ev+y5d6fdV3Hd++v7686aE8hbcLqXMiNya9uyNnWhEj08l4lnIB4TIsOiyZcIpsqE9H7nr5eHM1QNXMiOJgZfTgTcZAoHGdbJ5mLzFUWuGmy1WZk90EIDzmRGncRmML2FTOMuy2AJbB6kYrW5YJpVXHqO4sKde96nzp+CWOJjYDhXVEx8fb03/4T//d93r6f/73fz55fPr0oR54/rjROs8HWsHFUsXmjmK/NmNXMJTHR7LEp16Pe33VA50/C0/dyUWepf3o263rqKi3+3pd66d+elpdhb37ccSHrOOxxVt+I5/i05lJnEtB8Qzk7n07ePaLzvPH95cvn//68v3zl88/ztdzP15/+1t9+Xb/82/8n/789ucv/beX+nrmGdGtrepkVXUgEsjIFdDOJT7jw8/56Q+3p2c+3XJ5RB1jMTL7+Tj+zZ9+/tMff/7ptm6Ho7RKb/X99cHmwVS2WhVVHdHRgS0GnLV1JdVZ/neW8X5Dkbs2hRZbfvtL2ETaywo7CaV05KsC6fDDMJjM7p4cC3lp4aIjfNtJI57t+S9qekxwOYTH5I8dAO4kPP5ShZLyqc+qVRvriET1Y+Pp5+PDx+MVd66Ijg2im72yscN/csBCD1cCmaieQsZH8kVZMsG24dJS68szPdVZZrmEIszAoi7XoEkzmy4uxT1UiHSxObU2LMA3GI5GyzcI2GDS9GkXY9lvOHkdMbeBK+zRH7NCU3J7zA7RLWVGdWOC9TClMcHx6ZqN8SBdNiKnXkRhEuGto3knP+CUPp/bbRqxc/L3eRUhkXJmvLUqGIWn3YJTLxpwey+k594UWzN6lelRUxOL1OSkEppe4TyRvnBr48zAzMWzoEPiFVA66qV52F6TukTyHNR7xPyY0sUYp8GMURiHpfGuyXVRF7KyPITRypEBFqarwfsVRatTEmNStZJCvLC8KXkYGNMdxsAO6028Bs34eqFCijAFQ7k+bbjKoNU9IgKTGu4ywaWVnxdxNX+cPzhiKo1oBJSFGcEM1FRlFIaeNVrnzSBf9mwr8dweZHMbsEerLwIngj0RTbigSo2UlGR3BeksSIemLkucbDV2AiDly6svEi8tVGPbinW8S7jFIiI88m23HZaYuqNFS9eh3eCk5+V0W2ba5Nc3FFZ1BFHatjJd8SkjNwvyIj2aiD0GiLA8x4yUwTTrmCAUO0QcUqHT4jJxOzu+piex4dH7JwuYXCgvC1nWEUGexgOZpwfbySb2KYYayg7at9ToaK/oscSObmiyoDsuvajOcE6kySVD5jFswuWCM+YerRq4n5N1Sdr14UKy0Ey4voXviPDqJcsSfuMV3W7x1IhQ2x+CHolfixkO7i0icTFloIBkFEbWZxUdMWXpON3eY3yCpSuT6+ovgSjCB5vvH0wAutKSqKmufXO0zoyomA4YVMzErQZYYFzZYmMJFijtVg4k72PJn02qCxiHnGMhKmIyWN0Vmu4ErjaN5NBJmGCgBmjLfEWzASzjw77QZmvkpZ7ktLQ+JUx9c+gKE/tyigQFAjWKnXFQTUhdzAAff5ghhDxtwo39IEajQ8LsdrStSjbA03LUTQBxPAPA3ltil6juZqi7s9EjXVEQoe5L7WpBgc1rAKqLa6srqmNXBDufiaOZwMHaTTizNoj4ofr60h8Wn8/4fu9cCkJHNQOvRXQ+pdToxmOVYc1SoTfPXbg9H1l7LS6eam7GPh+PU/us7z/uL288H+frG+6v6/tv519/q79+2V/f8u1efz7r5U2n8i48BDHVOGIIFgmKGilZiindivi4pMIJIBeC9AkY4YA4S0mFRHQ6/2s0nRMeMhXBNJJUIzKI4rttxS+JmEhHZBhdnP7f9DOvgAcvCAsWTdNIkd4ARt0milLeFWJt5o1lYMHQTnURr6d+PHa5Czn6PANQqJ8Ufzzyv/m3f/z111+//tNr3vDTT9BJbZ0f9PraqahEqWu5zfEwmbNaOvjTWmvHRoPob/t8xC/P8fRcKVRE7DrvuR6FA7d6HG+xP+n5+VYrn5/3/Uc9/3Tc3vThDfoFWFrHHyJjeLp8xF7317fX7//Ll8+/fv/t7f76+vLj9X5Gd9y/1G/f+c9/6f/lz/inz/n5Ht8eUcxH1QluXxWJCMUTcYSCK8kPx9NP/PSH/PgTjoVjIQ8ppCxKT4k//XT7d3/8w989P31KInWs25fqr1/++vbyQEmrothhTp0FtTo9YViFo7FTgQD3WWL09sjq7p40uYKoEjP6NEN/IeTDozYYCPBEpxB91WWQfOhYk2AAGIOZgheWUBKsZy1kaLdHQSaILCPGwdWA1BEZlc2NWkdJYN8aW3s9qpFnv95udTxlrEEs6Otras5TfUgMTOC3cUFDCeoRO1zyzphLsCdR4vdKtoHEJSompsTCKEOHqW952PE4Xdm2aAl2HDrxgXQxkGAl1LiAGNNBuKTYA9Y4WI8CUU7+llGahrOmxx1mpm8OYCBGY2mUPLKG3rmEmiP5YF+wnTrcjve49o1uGfRnx/WLpUm49pjXMQuHoAn4mdJrfIsuoyd+yKITWSqCuf9cuL2XXBbrvCtTg5xrht7ULut0/dPwCyBDIFVOtTZA+l7d5HQbI6dpjQ26cZkBbYNrG6A1+d7+vsanBVABVaaDDaeNmtvNfidT6nBabQtQBqrZRYP5lsQbHLuKKkE+RjlTqEfZ3CjnoDul3bkgTfHdYCzQtnKiy6iyC7KJB29Dv3RQoFvgi/Ag/B5G6Q9GD8BnNUCO6ipyEsA1t3w4U2T+R0FUw9mB7mCksiKoG7nUA+Uai7+M06GRtFi2FmQ6BXjAqCnfBMYyaDvLZaWuhFGWK/8prJ19EXiPNzUgbK/tUityKYRiuGAnTe60gu8DswECpt+svbEJY+YbpcH2MZhC5UjBaR8tWzLtBFpHi4b6er5XUG6Tam5VhuhYfnGULICcNMWRbLUpwGmrLjIBBbFh2kM94U2S9XsMhOl27iHLIsLlc46abmdE2QavC2x2eSvhXzh11jCP6eA2WAWV3IxQqaUx8hlvJmAnum08gPliGyoyBhR3NoAmxmm4FJZ6VAQUqvE+mdKaGvfv0Z4zguLlsI/59XYeuUYZt79aFihah+9oXItmPJxsnNGcmtRPLcYX792vmPKZF4XjQ44CmWYQrKqNGawcbWYjJ6vHv2wYA05QVsy6nU1hU3WTv0s5g4ExZ3nvuH+/pg/g/VQuRfI9XddSJNGDCjxhwycMZuRLzkILvDN/PnIwI9Y0wAlNjTBQEIB0E3ltZfMXuLxJ0kVCcEI2jNFMcGErIue8dTgvlsEcKwYJkIy+VRy9cm3iLO5dbHSJaw7W6JjceXQjg0GiKyOKRiXaQ80OLuzW0a1T6N4LcVv54eCxuVqxBKHWZjEiSl/7/uHtacU6FjLqCCayeAKhtwzWB6+ExhPYURl4nOpmJR6P4sKKh7pO6BDu567W/ezzDW9vx+t9vf6or18en399+/VF3+7PX9709aW+dKn56HjtLmh3ZDocALiFKNbqkIKR4rGYZD6IW2DZhE1P6maGbXlcQB/iCRvvMBouYAAi36PhtaxA+sScIHHvKl2EK92hDtLXY9WSUIFwQZWc+cKElaGNzHcZwPhRZ0Ul0UB3aDcOlhDkAlLUo/h2779++/Hon1c+V53Cjb2b64b+1Offfzz+6//wb/7x6//2ts+s1IeTzdJT7f2478XFwkatXNsCcfHOelScqb9/ut0Ub32qqLtU+lQ4FPGsxczu143bob7n4+jXx+PG+vTp6fUj1zOezr1uvV727fP3/MuXP/79393yp+P5pziqzvu3bz++/e3z2+uXtx9vj5ddr/e43e5nfP0ev/6q/+HPj19/3f/0DX994atUwa0u8oSC3MkQ+Oyd1YyIZ94+4Kef18dPt+Op2c2MdbCUADLj4xH/7h9+/odfnj5mf8gjj8eZHx6P+suvr/dHRd5WsFWFQBe6oRRY3aBOMSo6mc3SNnK5jT4SzlbvUnhuD1Guj41SX6afAbk0+L8jh+a2Q4zt05M+uxtIx6kMu6mJj9BUyu3cqQ6irXQbK+PVy/vWxhGEqnFjOLY1M7jjLK0P9fRT9mWZAtjEosW9BkUoyALH9zPSlyYDrHeHmduOfeUYGC2+wIVGMhHlHKVEkKoBwwI2WARUHuRg8ZHMM3h/LYNNdAjhHnreLC1h9xdGFONGa+Y3DYUxOqXL6CoQKjSZiqGyhyLvObcnOtw4jd1A2540wliSw+gt5xuIxhSvi1/wGuxhOh4Nc3Yj3XHZwvZV0LrCLEAXAApANacUB2QKp0k4JUTIRiTn1cCYnzXuYc2h+lpQtMrleiAa3UnindBxd4P37HleYlcYkyKRzS0NLuwbaoRijOia4IMxZXQ0O+TIDDGiGhETihCks3+N8bHNR1fqABpU1MSRRLLR2dlsqeNfBGFau2RQjhCRjm+dbsmgXOvCKLuYoe4ku83YwoH35tuN9MTVhXFIekbbBmEcqCVHDL8Xrw1mMNAbopvNnHyXeeCqCKOUQ294OcPC+ZjYKLg7oqDEeJsvNB6k82zN27SZhkDM3/NkTWcKdYyhZE1+4USUyCJUTx8GmOapIvEvtM1Bl5z+9opEJieSPlumwhkLCXUrGkw2IhxM0CK6yFn35j6pVqfcVfijkbEnJGqirjAadgvG7PjolkLRSynXjSw346HhwBQxfnkr2yZGHYT5UgCzEtvJTm6AJw7WNLr5/Lgs7u1egQO7UmXrvJetMONcg6hQlcvRJLvVRE6779NZaS14mn9K9ChUYNDgii+b4hrBMCJS/uqYiWScLVVhpdXESygmpTQnUXcoqve6g/PUme5DqxAYUUuF0kadd8azu99BF4RSw1xdBKEFmnbuWgntp+SUKAMOnLJ+4qfkZW1Jhj1FUxJ5E4WC6X6GmATQMcMMv3dhKtOieJVcGPyOUfBrSCuHPgJS1/x1qjzYXbhydGl4ZebauF7zRWGyExH2Fc2WnWgtYzOYM2ZuPpJN5fTALt3c95qzYzsjQroYOxgeltehWkx4qANMd70T4RiKD5qbtUm2c8CDIgOTFo4on4eJlb49r4sIqmJX8fC0i7ZeyfGW9kYAUF4zmQdaOBqO099VRy5l5gfePsRbRh+VIrbP9gbyJL68nuspnyrj9XGQElZkZaAUdzFPPPT8FFIxUoeODgU7z8gQI9beOKk4Fdh42zjv+faq3771jx/729f+/PX+/Tu+3/n5cf7trJd7n0E1a+LXtYINtEqB0sTFIpEpPsVKiU3m2ScacYAJLTEXMd2RuCNYSE+GmWgpAzRSRFTTbR69J6A048yLKsBMBkNAelc6GwrogpP813SIV9lCAt2jbyvVYTdkjA/cZ5vnrrT/fivilHI3qaeglI+z/vlv33799nf6h6NAiCuLO1JcgZ9Z/+kvP/83//m/ftz/4/dm/7we2h+b+iXqS/AUD6Juxru2UV/Ei7p2977/8flYkefGuevtsR/n8XEdT3js1LEiUK+Vd+6VycSr9ssrnp+Op0+63SJWHE/orkd8u/3j5w/r+facDb69Vb29ZHfd9xa6lfX043t8edE/fu7/7a/6p8/6+r0+73xF6OjaavQjwnNaMhgHeyEj4wDZ/IhPf8xf/u5YTwCJjKe1gmBsEMeBv/+7D//ZP/zhD8+xFGQ+H6tx/Me/ffnt848OEDrhEFjK2teJhPQQW1UziF3axe7y/q3WdsKHHUg+B519TRVovlyTHmjB10AOjZbKCPkg/K2cSxYkq3mhAQo40sW9JKeVwGXBK9LuAah7YnqOTqzNjp37KQ/UQm10dCyJe59JfvxoLD6NCO9GCnR+j2UTE/A3A0j4DjP6kJojb3Klp/Q2xDEYhxgBmydXOm6fg/egPRs12oJtAGLFHFAXSh0ewCnMFUxqoBEDRCSQtkgwLBgCwoXHxG5gGqfBXcx4c7fYCnj/hdjvjKxhLcu0mfGuGCCuevgCo4HJ7hrBlrl+o6KT2waVb4xlhpGCRUNqJnDyQl2DrBGWaqymvDB5S5BHlGTSvBM5wK9G7vgviSJL+efPmXjAvAlPP3CIhufCjngp57KlAY15vS0TXOEAxsGrXbr79zj2YlJNjXy5fzRh9E76zC81udXjNOC4JwFku3L2SK4JW5ggLGPsrq04CjJMessUkRci5yZhiDMXRUSwBIeq0WJMuLERFOwtTDaq2KNPsxi4nbDUBBSBaE49e7FKgqe3eo6aTQBT66PKDsfLD5bXIDs2Lt/HmAesa8IVM46rIuFwNzafTVEbkHJqZdm3YAVOTPmHhfCYoDAExRC5aN8JEpMYNlVaYuYU2YQPgAelXoiTYYGsl7x5rgDPkdBESZogYlaFgrUVwabNu9F0Njve31UzVG3D/HRSjAx4qrAFPZy4Li+XJJsplcy28JosIkf9kAfVeSmcSRpsLXRgwdxAGbjAeJFN+lutMbEC7JzzqOWHv0CRKSpkX0UFsoEYggsg7TzKqdYs3dYkpgx9KkkLVnNfRwQ1lmbayIkZLjHEnU8iUVUiKUrdZGwx0BWgYWVhVpizZsLjziQksUGitNn5L+ClyOzhsTglChQZal2e+/SBYhBmgg0wquUYjY+Lf2xWKsp9HwhnhvXAobMlpaF7iYnkcQbsHksyZrQzIUieT7akGo0OaftFXP8ZMAQXrkPE9w2E2XA+a9rQWF4nh+Yn7Qmg1RgDW0gcX7LzFUgxAag8uy7ckfj39CiRkGHGYmqAiYWf+SCcK8tP0OIuNJrBS+czehJg6BL6Kuvrqf3/zw+wsKwtZyW0uzOAjLjXyl4Hg9IWsZoPYgUeWxnN4mX4ntc0GAXiQsqC1uRZCoLy/IC0QvN2aD/peF79uqvABMmCekPMr+eOb/um5CfwtSv06amj9TjI1haZ7Go8+LQ2n3l79JF6vuW5ACLvwBFnR+843/r1pb5+29++15cf9XbP79/219e+79v3R/31db/qFI4CNrTLM8izczNDK2LJKzrtqH0OZiOzw2P0LERGoJPLTZdhmeQBbWI3o7NTrAltFcp2bNSB9B4ZkpdQo8CIwpwztuIb+zDpKoqzMX2dzdSmABfat9FGpaKD2U6UQzPoFMXLjH+FwaFaZJwczDjiLMbfvu//z//6l//iH/7+v/7jzwsdZKK5CDzd7/ol9N/+uz99f/nx3/3Pv56nzudDXR+U932+fKuop3WVIJNGRABRzd3n25v+cKynI3cnN14f+8NaP5duWc9PuEUGMrD2/fH0hBfleujteNxeeDuyjx1LS9CHHb/1t7zj1p7WpYioetzzfHTr9vamv77uf/rL+T/9tr/+2L/W8+OBTVZoIwp7K8sqzgguamG060vPt6f10/70d0/rRsWZEZGZqfUUu2Mxfnrmf/anX/7+0/Mz8Lxy3fK21n/87fUf//z5e9cyqyNPrQyxlMQ5KnK2lfXoR7UH8FjU0iYh2zFRPm6sDo6xgUCnG2yxfb+9yyPIML3t/x4MXyqW9rvGfZfnQW13kSJCp3ztEle5Ksk6F2IXwuBgFAvFmjnVjK7e7O7ayt1C1NMvTw6SRqC580gVwisQOeqNIW1LlXNM4RoeOTrIC/3lZL7wKmrhg7pJDzQzKz9Fie8G4GpzLqjnXd5tYKZphGKqIB+lF7cmR3VhglIlKDIAtlwcBkleP2RP3UymCtLzj7vH6dqNEDoxA8Cdp9eaHBtNHpLLFaATzpg0SxzqmXdmoeCMB3GkEf2EXP/ZnygYJ4HsUjsvI7GmjDUP7t9DK6UGktLo0MuGBiEEFudpcc522EqCa66rMyAGbBsRUsx1779bpKvR+S1t76c0FXmzE4NMexDA9BguuqTaiPckl0u5ZjZmepqwG76HSfUR5nT5Uu9Z7k2lQ2DNxlsMoff3Ts8Im6XlHPBieGycRtnLYa3e8RmNSmPiVyV0eaVVIN5r8Q4P7qamf5XD5Eg0RoAnDMur4EyRS2rGtfpvebFHMqpnVwhOQJzvP+b3uIJMDUhj3LviFQB3aVayfUZ7DEC7bKFrFU2TZ5CTwoqBIQFASwTTZdwa1XA2m7XcngURHV5rykYnPQCOcWloOCM7zJxbmSGXSFS2FZN2Mx9GmxuJKoBYJjXpttnHKo1PW+WNnBC08PFiCA2Tg6coSoiMbI73Z3pe/6YYScyhMEFWQ5878s/+wFj2thcVM+Vh1COWZ0RGyskH3ekDwv+QQgoPAIkORCcC6p30USBgRffQEBFAsZLhP3d1p3zPbQKELEpM9aQcIwrW/sKgYzcjYOeGJ5Z0+38Hb7LOOKhCU5OQw/d5byHPXlOHjt8pqGwoJvTVO2dOaWPfXc0WUe23JErl0TMxqCcv27YbBxtNbJuFul2vzKUEXvRriDYpkIFo7Jn7axRgOE56KxC0cRcD0P9Oju1LytgE20e7yvYevwF/0gH6p8flIAL+xHy/V9vixfmnqcns+H0EgINZLzsoxxjMa+AGRgJmZaYj2kHiaqw1aUEjCGEDyYuzhfsajtDJ/fHwL+4UaHb53bl7ETsDl/meDiMPLUJrZWQjoif7c2+Qztq4HqSuND23LIUO5MAHrOjYmQmpC+qus3YoycdR8SFvn3B+210CkoFioRCd3fr6QH/fRT6eeGYzqj/cSijE0n56zh9visAZnY91ro7E2zrjyLUyEEy8vp5vD375en95wY+3enuN17u+3/v7m+5v68u9vtb5Wo04Wro3dKpaOEKrmbEIZu7eoJDohfWsSCBSoNrTvtBRK8nsZi4SUCwGg3Rw80zsLkE9AJTpwyC6XC14MhF4aVx97TTKC6UgXgppCELJW4jp8jCdJcJx7RkCYAZQW8WKsKueEePV9p+zCA87ckCo9oWkA70V/+9/+vH3f/zLz/8h/5OnI/tZge5S8cPzU709/vVT/7f/6b/69vL62C+9u5tJFD7eHz/q5SwkMNGzseKsPeGFa1X3fffz1vONK9c6+W3r5bWf1rq91nOet6fbEbFWnFsbYGi9ci3dPiEXn59u6l3iLY7OHTsf6JuymPc3/Hj0/aV/vPVfvtd//O38/OPty7n2Pn6sh/IosKu7G8O8spNcimRm6gkh8IbnX9bHv3v+8EQdyoyVa5F5C3Ev4EPi3//9z//V33/6ZR1PQYLPoR+tf/rb589fv6vAyCgRao9idpLGKAZZqCC2EkhVq9HZvZHv6miT59XtEAMrRggUzDJWYxDSwlp5BdA3pc1OO0cZl2h2xlO4gruAkbggbzkqwI4BXvcg2a3oDYbDS0LdPBZYAqvVUKxUtfTMs7SJg+v2BHRUdqYAnnv1x0K3uKb2pqfbt4I5mQKTKmEdgitaQx2wtGCEm46Gu/RuYoVyJDiGuwaxnim2KHHM7eNUJUhO/drCUAzGmEBTQbCjMnmlPKgbGRh1iMX+key2274uTU3oypIgUfICG0lzyJO5MejqCGmIoH7P5aHgaQIjD5lqAXACgMU5FJSMmlEhkTFnr9H87qEwPJxyUoRhrNWszhWrbjfY3GkXx28ie9gWF90TlnJ5Gzo6xgYwIz/dxTVFOPrRqNs1DSAuIddE7jmvEjsQ6FB6vY9Y1WlY6Pcwi0kWEcALspoWaYzVcnE2HjnMZmgTTKTvtyy/Io44iZPcM9sCnXFZTjFGwXcxlIUtVxfl34ONGUqK9zkF1bGsuhqZ1Aj6LkW0bYkqxTWgRyAKCEdGTFizkxc5kgEj5ZeEPujB0QOemjWwEtBWhNFTm2m7AtmrDcdL0zHOJhnPQcHiOMPI7kajywA3pnhCLCIiHKI+ECdGzTQuWPvWvcvCg5TpkUNadPUeCFYpQAubGKFJCHOYhZdSID3Q4SiiH23XTQE1438RMuk1bY8w4T7ixfdcyxwKV7tpjJGIGDplEUhh6Kgp0cRYw9taRpnROFlJlkVnYXEzohBhWT5xACOECEcTZJKX7tIDJ5Y86BfJoMN5qNYSZaf9ChS1sMSyBo8TXNVaCJIHUbC/PTAb5H2W1AqW2qOio7DpaCWc7gBsFzOKWbYGg56FQtIjyvwJJz0n2LsDkNO7Bitjl8k4q0UZwbjsRFMOW1xDG0NDRFzM81hs6UE+AS5gD/SjYSSn3wWVpjeCNsMp/A3Kykaj5DEaTQ5fQnDIqymYOB27BCnEkib3droAaiJxp5wHUuwcjn5o8bA+ClTXFY0QV1gLL4GRw980DYGPNVwni8NNHVf2zl8OXyj7/YCLDLWMLo3LSW6pPeuvBuSApJgvLYoXLe0T3YuaE8JmeQ+vy+C9dL8YOwKBqkquoHweRfDpWM/rVlK30K5Do9kKITK6axKjYiZJBGb6mrMwxkwOqjsyoe7Y6icmhJXHfo71086P63x7RAYLHmZ0r3rKQOe99NcfOLtfe7+c5x/O/PTxeGp+2Hk214EjVLkCu7RW6XEyXnRi19777PsD93u93vm448eJry/11nx709d73et823jd7OSJDqEahYgjEMSKoBBo2t0QOJQ5AR+jCoiORAUzgURELgQCawXN+EVIoe7FPstC55kzH0CrGotJUNUGZTgCxPdzzOEBzgKd1DRnhROgw+hiubxIp0Ex3pNbJFQwSk11d2iBtALcSd+NUQwr+tyWjqwdFRPtEcfn1/P//j/9+Tj6//hv/+G//pDH04pgK5LxyzPigf/kp9v//j/74+sd/7zfNvCi8/nn9XePj7/hJR5gAbsJVJG8bbWgUG2EWnf1y11PwQ+3PHrdq5fiE7F2HKcOnEfy+YjIWMhctXa8Ps54zvzx+HgcXZ06n9LjkFlb93O/vPXXs7997799+/Hb6/7yFmc+v4nQfoDqs7nEVBUYTEUAQRzAsqi1eOj5l+Onfzg+/UJP9AGRC7EaxEqy9Kdfbv/Vv/27f/PzRzTzyEP6GP2PP/S//uXL376f3Ynsch/emVSJJe+igOoiyzxRo5vQts7RqfJDHnY0JoUYl4BlTGERo1zk4tVRyk6RmLqlqaWc8RMCuRsxr51JnfWOiq/AFjqC5Vj5CGoXUsrM6sCCx4SEdrCjD3Qj0sZIn1+tQvTtabFia9OQkE+pkSAYEwiYu/XMA5AWFmAWoqtQQxPh5CHTlE21raVZKpLK/l1bTkU7sW/4dpCL7g0IGtX2sUdfJQ1dBSmlTqOVY4Ny6T9OL0d/2KJDhiYkqcV0QP6QNZwPM0MAxtYm2JQ3GY6+nSIQW+W4H12aLA5Tc5moMcIG3wUQPXASdcV2jUDGIHAafRrNKsBSkNt2vYCMVI4bAoPBjjh4lgLfK/5snzS8LLZW/JhP7uvCntvK39b9AAe8G/uHKSV2ly92s9H2Toi01tXjAcxE8/osRrliUH1riIjhYqa1cGKhcwYCDaIGXXGsCQn0jDl7h9GaojoQl+rYm2scuwKJcvU/HcElafDek6hUSnQehnNK0B0xNouY9I/C/D4aI9T7XBUO2x2WMMELdgKqiBGlDY7qnTDFmxuOKdn9/P3+Xeqm7wiUFmn1dQO+ueEGzeikNLEwVqhfSXRBeLDXe7GgsZpgxSXAqiChBRYIcNl4bMW5BDA94wbpN0NeQhgXCJkujGIebwFQTsCtALIY4ZpFzTiYNogWh7EobnYgKLTUbCiUEhCqK6XmwjpjnmyEQEY3jnCvTTFzZdp9DGZ04arTMcS42Llv5ckKNHbfEylgxbXHt4SoiGS7Lyfh0yhdNlseMnr0kMQVaPQC1W7urLwLUlTOl/caIZxGK9lpgKOEdNChTs8xtNiNKXt4A2RGo6UjJ+yquyWPhCQYIXp0lNdBtBSFGRmM5mazxEAxQjgASR0mZbiI8oi7LGQAa3r7ALqm0qVaCYnjlrqELgpPOuS+9s34y+1/hKxKy6t85xTV5lN78AVCKCM2LptGDZ+uSvNSr7nnHxYtfbQJwbamNi5SABdRC9g1wNZB1gT8t6WOOS+bspfOMj7REW7EdefhYjVAkl2cwX+DLVhtMTh/UBnpSJ1o9uBI6oZ5/hh6ScCCekYsTKNl7GfijS4HNN/zMwh0eeEIV+T0qEmhjGX6kDT6xGZH95Nq3+/7YK4jcymOjHCw4XmiA+dmMFIqQFg+F3yYJVZz9ClO4hgtZrfqZH/oWFzFzh0feXzg4wbduyLFjC4l31prJm+Vmi+Nferl0T/fHz89H883PZ1rZX84Yj2Jj1zeoGFRtWrnubFPvJ7x9tZvu3+ceGx+vcfj3I/mYx8PVZEPdZdd8I1YYhbbqYjnESuIEI4OBjJJFEuljEMEyEMkV/jWCV+psdhN8byu/5m7gSti2idu5ERaj6cFKsxh64OxVdD6F9CUp8LEBSzhYMpHVV7MGAf1aE0uK47gviYIG2hFFzIdmAafkAIh4uxKUrHizUEO5Nevb/+v/+lX4ePxr/af4g8/y41cE/FTPsXH2/e/x/fvfT/3+fnx2KrzfP756Zd+vv+2z4eAKGpBlaVSig+kg6gXUMwt1UO3rJWZ5bGCPHZ/SN4qdoOrFsVCaK+11llUfWMhlcvnaVbrtep+1/fd39/Ov73VfcePXrW4wQd1clWfggGn6kPojVxBZUan1oEmmvHhQ/7h5+PpE1+ZN+xExgpExUpkVD+eVv/n//Dzv/3003MKjBI+EH/P/j9/vf+P//Rr7cWMKuPQaqXDw0RgZdoC3FRk9B49YhNgQQgWFqtsAcBmkpet30GAAogVKpdlmkwAwFEDIhRMQHU4VIsXHz2loo+kGmVHwBIWUE6YiG6osWtTAUT3rs1gBguTa6HGXpVae3ctHOeDTysbaO341Io37CPk3Kg87X3GQ/0MdGsPvNa8rMVRVzkzCK/mnDQWIyiMNKYXeKepMgVKk9JrThJ7wN85eNPZqd5eTLcqkNg1QsWajOtoK3+uewIImmHVoK0uZVqMdMKeL9L0PO92EdNbU9oFUAY35TSOKdcbLlPpad12tgJsNyl+JASmkx/CQLBlJCiCy9R5Y4+qajDd4YzhNBIm/WYnMcbm0VEhGLA3BGzlqdueiWUaddYQ1AF2IC/C/bp9+135gt+DJepdttRAm0mmEnlxxi7/xUWOJg0qub0wvA8QV2DgSH3cNsDcNmgA//e0KWm6Jl7PWBbZjr0BWkT3loedSkOZRgzlPYH0gLVUQFg3SQxkch3C4qVdj8ngx0YQzYRqokbaV/BqWQo2oezTyjhzTxjpj5+9BR3OsCd4AYmXhGGE6yjE6sv8irjUwCmrFUwvCIyx8kz4mzmb6XU4+mswqUuCUWOWF6aJG90IYnyTWgj7W7Q8tDgGfkQzrtZsGBohEcpRiCfJHoOvzNWA6AuDGpm20agpXqhOhhX+jpjkboBc3NUUU0lA3GwuaU+L6K/nVRHNMeznnIE8UhnBBTcsCS3mWs7fRzS4qjgioEawPOcuI7vF27AxDmOUCkp1J1YD9Ba4qIWZ7BQydhLXNIqpJYWFQDBV7dFdI/fxUWVvVlgmIOcf9OocMEVIQFSjoSPM3nuUW13TsBIsBhNEW1GFoLugaAeN2O2gRosdO2HiF4juRltc7DECou8acpfSJlgxS7HYEtMtHSCHond1ieFJz5dqhoKyo1PTJ++hfJhoL0wPZhw6uCcQvVrhG8MSQ067akhpANMw0uAq3wSao7bcBsi8TAPQ7HeAqMzcEsYZYLtrQ0TI6HvXzIu3qRotS699FzpsXgS6hxIcbJZx5doZsiWcalQxAwvCJlqvNo0NzL2sRUnuNoHMEYF6gIE4kI2jtqRx/g9Pjo7JRONMLB7afb7x6Jb4fqPNKc9RcrohTE+IvfHR6NrqFs9Id9YRsToLp28wn9yalzIQEsYLTl53TQCFXnqcdR5rMW553Ffeov4Y573vXxSl3dRK7EKwVVtxR+zdT6/E7ekm3jd/3PfToSPr+eBTYh3IG2O+ZIHZzd48gfuDr+c+H/lWeHvUa/f9PB9NSfYj3FuVnhQaG4gQslcAB5Eks7LWykteCqRaYrIxCRIKYAVXqz3SSaFqRQJNJ1C07zeLlWmppxvT2e6OqdWocxrW5yCR6YPcd4KuOZrNIDVxC8PhRwNilH/7BQIDHjRLzvAKqIOJvpC/HiPBYlve3NFH7VIUOsWMB/Hnv719ffvH/fbx3//r+g9/9+lPT895MoiFjnX8h7/7ZT/unx9vb1RHok/hxB9j4fb9x0NvxINlixq5g9kAkqm90UIzuvdb1FGIiFsT6AP82jiEFcqqg1qhJHg2b0xm7NgmJ1nV+7F1Vr886mXnC457Hye7qAru3o0A1ZEEToOKDtijIlBHxVoZJOv2IX/509PHP2WscwWOzFj4sBAHqVgMQf/uX//0X/zrv/t4CzRSG+T6+OEvX378P/7Xv7w0kekaGpPP8zCt1e1BbCi/l6pueO8h4uwOhy2TSKiDbdf2JnNsA6FgbGdloBDte2ETaTu3qVrPacq6CMbBvTuYEjoVdVGdFxAMEtzYIaeUeO6aJZARSbXMMEFohKiSei+sh3BEK4Gqx1ueP318ituN5zSx4ULZXaaDCbSsR60wBEHhUr0O9gmbOX1ROM96RtDIM1dOIRx6LjaTQqRixyRpByGKkax2CMnEsljU42IrRus+UTujY3GAMzG+anPtlxoJ4gizL41lRF8wurzdr5IKvd3DTPwdrjPduFBSntfK0d3MiTB7vYXojjDE5gpsKu2hM+QK0MDFYOO0hKqlDkY548GAVrnu8i3sBkCI0Yamka/r/B+pjXRJQucSDUsGRY7FrQetwyXtkd+FO6wBXO2DvTwoF5mPYJRHM3SPKdyXsFy4zRR7StfAhPmCrgq6jSlSPV2rwzZH3xJDJ9ixh5ngY8w3f/c5pNMUL8Zkrl9flxZDuArPqUsIiFf2pJfE+8J1MlP072/ZRDydLjWjzAaYmZ1nju9d3Cvzxq6HZorS5K1ixIPWLgzHMwmnDiplXGK3vnDHgR6hLl6JWFYLaJBxAe5M1tBQkBmqNg3W10rhdJ3WJntXEDPN2ypjA5QM6fKwUDN8zmsrqC7bwhs5vhtXDen6YyhJUx3L1CjMJDZGkguptCK7Wolz29k7PbA1g7K4yZbomkmADGQWucz0rQguLTMfTVdXCIoZVwKNpMzEaJKY7BbSlHwDpOemhjNaS5Pyj/E0a9wsfoBAIRlFd1ji5LrBcHd6h0WmFNLmSCq8GIVmxmGuKVyM+qjyvOjucFoSm3mgK3ml47jZLlpkjIuwDWpbyGCk+qr/4G6+y+Ks7lGZSGrHCl4HERvsjcXWSsuDwjEAjekJ5RsQUyaJ4RLHKhxDBZyTLACZN6AmmAIRPT5mwzJ2k7ciHcIDQgW6Jhuj9PQamt18yZL8H48yaDKOpG6lYXNj5RNqj4ui944IqBVKRveucLsFTMc21ucJxDSIALqP4qXOmTqPjSRKgzqZsoBfIxtzGXL+BdC1P0xZDGug1qB2cB9x2fkvfhVjlzabMYYI+PW6JGwQWFeasGPwQJ/EGAFbiQR291kNIBbGywYUW3PoVc+V0cycd9IY8akujKciCucRC6jqY591u906eh19Pun5E+rn6LezXmYIURzsR0MslcEx3ffe9XTeXkPPT3qOfj7W66GnG3XvPHi4b4rcll4+tBOPs1/POLvuZ71ulOKxVeyzaHljQ6pdZGNFgCyllLlyKbfjIK0OI6WVrZMrApnhvQymDhbAPGA5Q6HcmEsNTLQhwvlNKKWFPbP7rFU1m2jcCuMil+9DdU0CWheYRIm4ShJXDdfMjzk8B1Uj0Y6dSWc8qsaSviMW3kOJ2hq+YFQjodjdEZ1xgKgtrr3Wt2+v/5f//uXzW3Trf/dH/f3t9imylGz9HP3vf/nl8795fL9X7VdsnrtTuv0hPh3r/K79qLdXJbM8ODHpIcQMvbL3iZUMRu0zimeAUCTZXNosRZNZ60S3IkNvkWwCD4p1NlGlap3CueMkztibuasqc+LApCnJyaChgACZCGRjMWI/xOen9Yd/9fTx7xNrEzyysI6nm45QJpvqOP/h+fg//Nt/9fcfjrTrnvl0rDuf/q//w5//5z//2hHcgmcvGGxwBd6aWpCpOkW0xzIWutHYUwT0xJADUDj0J+2hDyzEiTYBGu99ZCAWimZZo1JAJ5PsasTEzUFQeHqcz0GflzUEsEUXMs7Hxja4UURLKnZeobsIhcrpiSk6MXALrTOqWed9PWUApb5scO1hqN1YbgPZ6guHB0ZX7nHFA74bT8Ko1R23V5ppkgpcBEJY4N1KlzLvMRcEpLBZsDvDPG22/E6MAvtqtL/tknmioAxdFBysY+eUXtrWTcjLaLyS7ZDs7pFt4moLRss5gRdehfDgIDU8nsM0H3/Xs//eiwRwRW1ORWWtyIxJHX7ZQgv/dE1OwNxPFP2gLx3LVe3Kq98LYzArDwP2TeyeAD5p0niEp8T5ubxzJXPBzUOlIXn/nXnCTWVEN3vGjU6YB7YqJE1SnHmgNl7Ul/rd17mv2TBc7LdhSvzKjx1/JaKnFC9a4SFcdjyEL35HJ8zs0hYi2s4/jJ6m04pyd3Jz4ZqZ9adQoMo6Hka0F0D4eign5aBLDHYI2+4bCESa6x3xsuOkxvatf+EKxzW7AuT1qH2iTzpgS17QeRE9XgcWVpMEy45bXWVKjJcFipogyVkgAju0qorp9Rthbi4Xu8w52ViCBcysQCKYGm3GWBeu4kfXkCfrDSd7guU8u7FxpNNjBn7GJUNxvBAMn5b+f0z9WZOl2ZIdhq3lvr8TEZk13qFHgE2AYIOgKDMZTTKZzPSkH6E/yxc+kabRKAig0GgAje7b6DuPVZWZcc52X3pYvqNw2/oOVVkR53zfHtzX5IcOMgDe8E3FtWDB/707I/Y0s1Sgq864acwOSLt2J6X8CkZorUgn8MAlbkSCxSJUzEgXVoh2t58wHKqxTbmwcesUEXPLji78VH/jzugj+4qTjwhAzEg6ZdZQbPdI5s3gLIvIEEjQnIDH1eabsu1g2f4UBWckN3H8HhIC0TEAtSeWZaCQJGAgrn0cGEXGBpaE3q3wxDwayAUp1FssGKBCXHP+ATY5kIgQobLIxJJUkdn+WtU148TtLj+sqwVJ04oAE7I2x0u5UJ9gU49IctM867Ab4SZp3B6z6ufkoFDebgQ5RpMe5uyIsEwfjxnEt9Lb+AR0G8rv7sXTP4+UqYbfJiKE8pegQ9l8XIekjl6gckr6I5Rxn2i6B9RREmnugjcl7JCb09qMyXP6AV9SILubGXTeC4Zi857SgbiakVb9yY2aCbsiaR8Vx1CyUF03sAv7AerKiAheGbAOLoOPEqiIgA1R7B5Z2ygU55UQmyCjPQ2O+1F1v/ZzX6l1u+19z+d4+eL26du974VOPQAqrpQFQCSakh4PvD7ur8xPxbXi9tDzUt6F6FvybWBXBYPB6kfFQ/dH5Wvrce/mulc1UejdpFZNOrpHzJeikRkEM5hQrKAzc8oD70JSJCCmTxx58qHO6e142MhwKrt8wc5WBZFiLHYjH3qkgghP720c1nrMcrC0MTgD2kKxUZahkakY67h1xmhDvymivk+cm2NxZCaebQRKLXF35GozWFYvDBQZ1cpAqFXYGep6PMi1br/77tO/+skvqx7dWD+2WisXwcYPX17+N3/2R999fH399N3eT6+PT701QIFSgWfi/lqoBFFCZKLAZRf0FjN3FCIbC5hxjj2jL1uIu2+swAZQbKrrwY6RxXILWyqKrUp17Jpd7OxLplZPtm4QQgYSJJV5rRZr3fTZj673X624vQa11i2Xbk/KdSEbwUA/U//iL/7sH3392c05OFKu5oV/9dNf/j///jf71ekFTlY3IY2HjRoMWxVlwVKNBblawpzPI82zeqTLCLS6ADHR3QeQd9RB2DniGRAcww0JVI6y13Wf0c+OjgI8RpVc3pqy5yqtp9iw5pA+tKDNmBGPLeaE2To8sjxGPLawQEHPpFR9f//ZLZ6WvjFwsfBo15qbMfPr4BS72XOuHFrDAdvNN0YZA2CW9jIs0+8Zj9UeqbvoJsNso7ULg8DMlZQR4HQ6c9HB0lff2RyF6ZG1eCO7lEGPeFVqdlpfQnCALSWzec5fNhnd9LRRaqz9BnVjtChO/3ImFzCjwP2ywqNjIefkTPNjr0ik1Ty+w60MGaEKukt2Zi1RLhgpaPJV0CbVQbuzTMsqdDho5TR/jdODTMr8KO2dizTX87gATKYH4MvJV/g02edfvhdTJR0f5htlMPSloS706J0wCBcOKTJh7nOdY0COGczb3srpiJuigWrMrVoemYwZmYTOmZwIqIk0l9Qjh4XRMQ1iDrIRCKknGYUHGGykv0KUOmH9int8A0pZaE2kQ5yhQJxoqXabTXRPKKHln5xjqYxSoDys+HR9GmUJToc0uDQi0mHrrqksd+hpCaYUd3y+hFQg3J0oja5bJ9ox4SADIR0tEDV6ugCbi6SkE9xF6rgRQgGQ0aILpElkBOotG+e0HDjpMjjDyI7QSAfyJKJJWjwuVYYbikx0QZwpaowMPaa9mAsr01VwoZe93IxoxeKimJERFxGhYCTGhdFnMribmOn/5/t4vDQfQ3e11IHVIcd1zxQrn6ddxBqohDAhEWD3cEDuZ6VwOaljNbf/Cu2st+6BrkMOeHSSy24uwVjJOAICak5K3NAzDkVw1pJRnZlrhfDp3kEiPOmwcbQy9M2g17YfA85fO4em7WpGXIxWTtHqYX9juTADa58DBzt3DOvUrinfVZ4UMG/cy+mthxw+wltccSRhVe3ORm9/RlFCmhoMz+ybhktz7Ykj3EmX/KTTU6andnXdUWhGsgREeos24THIwLRboSBi02IcqyZJTw2AL1FvNLxRPj4yfQ1xyqE3isIiMqPvoWgVivp+9jd4sKzvi3mAb7ar2d3TkbufmtOSZM8VACMDp2vUlKKBGUIzR71gYQZBuczsFUsru/Dxwye3YYyIa8cil7DbsQ0+PtaJU273fgDD2sdtMLoBX5AMQmx1fYyVBnKYS3p/vXyR9VB94JoJsj6oV9TDgzwU6kc08Pr6iEfcyFzIYKSeMhKMZV6zWx0bn6JKsbcK2j552mBXFAOe0BSQb6PFK5YuJMkFhTKkZBDsVIOWHBKMLBctVm+Ytc+gSkiveQhUoULZ6nlhouCFzG0HWnD7ZrOiyAioptDyPd6+1goIpSGqRufB+ANo5LiEWIE0tmoCnD6tLQ04PK0zBcBAo1EWCca5N1ThITx2B5SnEmtr6/nK14f+15/89vXjK/rP/8WPv3qf9dnTbXdD9aPb9b//iz8v9P/873797vOXR33qT8ne8dQJMlORdTerMSZ9WQ9/pTq3tnbfsHaNFgANagNEzBzUVoe3FoW1Hns0dG0BXSSPhPVRlcraaE9wCvQeNA9u7bIRYDCWHo3rCV/86N1nP3qOl3sGrqfbRcYtVjJYzERwVf2zP/76L//4y5duaSHKvMqvv6v/z9/+7GefdqQDNTqTje7m9injfIpgb8OnrcbuEfm2Qh3CNpxrkptqaREQLlrqkjRmtdFoLLJtchUR2gjrMspXPb0wISGNA1R3pHNpMC4x9oR5+fZltCwLQyvYXVBOdGyQu3tluL/odFBe+H3cq1+6q/WpH8+fff7y5YVf48Z8HHVRtbDqTDfxVFWUNVWlmavbPmTPeqWTCFyAjI4RrUxYDx4H/+aU5P4acxl5lI7Qzvxz1TjDlhSS+afx3HDOUNBPZqQ07ANkk85JgsL/NxKhVgHodtBCeKdTMZ94RqD4kR9cSpQ0eS5S+pYXAA92D81wK9cixm+pHpnf8SK0jnZnDgFX52NFgGGkEaJgwK7Gtv/3MP8BMZht8Yp1ZPTA6tYYI8Bw4FBM7zBRNb6rRzVCwkLXCQzqN9K7Lf17Y4ldBXMOQ5j60KAZRamNMLnqOmW5USnyLSSh2VaYQ+i54kD/D4evWbk+96SffeitizHtr/LTZdOB8M4lPMidF50qyT4GYXc/IfP7E8pld0BMzlu5CJ7CycqamYjEwKGF/OQ8EqLfGiMZ77F2k85CGska0DGagbfpZykNGTM9GkhDA/RFN2IrC2FMOCNtJINp4+nXjs7It85RPSAdXOQ3tZzqGsxugSNJtMAUTlgEAK87Aenycph2WFlzWBvBYBaQVM2sAxe13UhTYMbHh2IaeSNLQuSMz3OaP4ATvGrtRC9DAZZwXcxgRoJaybV8EWq7N7FuApSlXSEJoUBzxl1ZLmYwJCO01OXu12vf63Mdct8sVcHxmqR6uCy8YRO+n4df9BKqPuwIGWhUaBKRBVQrg1Tl9wpB0RUXTuXMIfcoxs0nBlTWKJHJpEcaIaVmjuOzwK5pJgGbUEbvrH7QPj3bSp2vip7aIuxOaacLVofAZSTYsUFWdUHT1irBPWANzlU36+X8l4NDOPhyGqwjYhfggGWIzjJ39+kKwLVTzIfvBD38JsAyakqrr/oAPZNvG919FLsc0IFAqZe7LSvQNodJxNx8Fi15z+Soh+LQwKNYfOsnp56JN4B/sIhzIzimyxs8phH2LRQH5/dW8BXlnzwsGkhRoRTLvCg5qIa8AgWZr4z0NeIPRYi9gQiDT2G6ZIgSW5t3vH7zSuUT8U2CgUjBYwqi7G0oFQPdTMZpgubMLUQSQIaN+ghtVKLu+IiOB9daazWpjX37KvNT1R2i4tECYAdJhhitYIGLLW4FC6/d2VhkJD+woiMWktJqFVR5z52d3bCUp94gMwetG15ndLJuSKCfsGbHAsEIAyFbCLctoJKJNQsH2RFgBJNUiRlgtB5xhFEEKkw8h0eryNikfGg7BM/jaCzIN+F40ojdTJZAasOuzw5EDDF2WFRTVwalZoEFznQdQ5gTUDiZg6SzHMf1HlEGDZIR2kCoCW6IwEJXM6Mfu27x9Gj9+3/45rH/I9c//W9+9IPbrkR26WnhT16e//t/+he/+ab/17/5+X7fu9d6FW6JrofnON30eu96IGPGojREpEKlhPTqq8lYIWyq8R2lANsDyUMqLvSOhJSKZpf8EMxvwJRIXOZekxIXKkhqLSofzExK0br184r3P3j6+se3eL6vVdfzWqmIYGYmbpkdmdp/8sX7f/5nf/QZAc1ObfCO/Lc///nPfvP7XbSqoHxCGxiEqnfrcjij4BgGdrfa83DhcIAA4GA01UyQ4lvEPysAbYeXhf9QVprvsLLSxjRFQmaq+kifDCMiQyV73+A7w7hqaMjGwS585hmuI7tT6g5rBH2MWNw6wykUjUDkLkWXXvfTFddz3vEAsmnvlgKxsNw0Y+gFUXBQfoRZIdp15udkGt1V7jTQeDtS7IscYHXKw5waLQFBxs5cjUPi0QVoYKaA0hnqDqwxGA36yHEPLTDsjxffghhsqsQ+CrwGO8ANTIGIMsM7kr84WZuuhm1q85KeeZlOyXMRaaDt3Bp96le/sKPmbImOIz2GH5BIod+qf0ObwsTGEOFHewzFJ3/RNYm5Ig81cmU6AY2+OnTmZ0UAnYxGg+lDR/49RweUTnLxanKYhUl/yQ4rUEewDXgm9GThGDayGGYQEwlOpNbB2c+SDfZb1pLw1jpHBP0ZdZiJ8G0GSP0Aljw6z3/c5Z+dCQDM6jl9UVZTRkY7VwcUPLD5jL50l2j2QyLxmDFTg9vPy5hFN9IvDoBBYAtw6qEfiIw6C1T4GZ5VCUyTMNi3ZWLGcay5FmYOMC2ZNsjK0XWJmpipkZYSeQRWxgs8T8GkjkTRL/h7aQ+0gvkmTxYgRHVNPgnfOukpO9TaGuw5UOdcH/esgcwgHXQNMKC5NYNTpM2TNUFvItGqhWigs6NjRUgq11zTLxgDNlY3lEUiIpjXTDFwjeXr2J5w07GGnd3N+ZCzL/2YUKIaPcFdsgIf3vRiNcVtJYjoWEpNuynRpZjvhD5NEXO6O0WG012rHcTvycgO5hyfqdz2uMStPWJvi/uj9pGgG8hwm3E6AkSmFw5y624nh+DZBWo14H7aJBJGbbtmMIdEWSN5FGHkOmCGliTsrossLx4bPwi0RxZ6hWyzpN764z8aqtWKOnALafDAALz5QKm8VgTXLemdECV1QK3s6THmbTqzjJDm5h17zJyOhpfhMWqe9Kj5F0z3SinCwVstOVhjLvHpuFHf6zesnwu0Xf3T5Peb1HJicx1fKkRySCEqYK2hiQTM3QYX6B6WApwpKjNSEDhMwZR3bHUM9wHjkq6aNDKQUadFowPtlDJR4ehUkwXeExDN9JQYUOH1tzs34vakfI1LACLB3H1PWt4DlZQcA1YfDtVmDRstMlWKJ6iDKGmzVR+WXp5XegDpLa6XfPp81ae77ilT6huNZvnWe5BMDGxkL9H2btxiB1N8iADuJS5k1Ua2mNlCodHMyEZvCrc0TaMkQlxhLKLRGYxEU8IEqOuIggV2Kqoighns0BVYsCAhofbr2RaG+ZYTa3viIMZ8SjKH+eNRvVm1F2+vZsI7GadTJa0HDc4xK2WEax3zJVm9V2Q0thFeKA6kmRklV0LpNUiqtm0bZobkZFA2H6xrRdcIzwCBuckQHuqnp7UDP/nd6//0//vb61/Ev/jTH73riuC9mex/9P7d/+V/+1/2a/3Ln/yn9+/fvdbjw3fVGUlVKDafgjuyq9nsViC2djLRrdWqTIPiWWzco7ntQkzJGk1xB6iidhVbj7QlaiwUg62h7dWBEz6C1Pjai72WxzbHSuT7+OLL9e4Ht/V0f75iPT/HwooOQFcvrbgY99fPb/znf/KDr28rHFAHUFW39fe/+fBXP/nt7z/cHf+npvMAy/xo11aythDdoIRmbwjB7sZxBmJC3BZTgfLN4jE34XYRngoJK+W7wVYkOhio9hQZVRS1JNH+tIMRu743wTQVppF5nVPqcFQIqbrrHONtzaTpoDmZJG7xKjYDxXpgR7UWWr3vyOv22e0TH8XIOvCUxfsc40r4PvEIzj5aRIljW2ppRomBwQ5oO6plRB6eLaGeIMFqmPifUFBHk6YcA+dZtHRpJLNPSLgbN75o0FO+6MuyKBjAhgLdjEW4BDmztVxqI9EdrT0mtj6DJ31qx5jXMNmeSgdCuMwYSk4BjFK4jZ2YT22rEMqHgHy1Q5PyIr2R4ZwwjM75L2gSeUazuN6Ro+zmTPJkS8OXA2vZYmdG25fMVKSa9Oeh6X2XvkUNO+rcHYPLndGmDZOFAd9tGfNd9r0+4mQOGYmfQbSGAKMDpKztmd86SLgmRcmX7IBwfTBWzsGNUdgHujtWsq3XLsO+NmQyInq3af/wIFojmIfamIAGkMU+rQygk5HvO1igLz058wu+icOiLpkSKicIEpAjEtFztb/ZJyb2NF3xc9JC5kvGjFmKimFw53kav/UhOFPngpzhesI4DgyHTq3BDuWO2Zahls1Ds4Ri+tNWuacmuQBMcRYTl+JK0mEi3kIzNKrhDk2ks+ljuXaDBEvwws4Z2jziun0SGIcR4nhSph8iIITYKRbIiKTuCJuD5IcXmjnLXnmdkWRnMldORI/3bs8OD56GfOKxarBpTeBZjD6vjgpDg0B7sqeiXb+FBt6NgTa8QVyj8sz0NUXpJe8SIA4j7tJQqjhmG4kR7A2ujgmWRQieMEzPeFCjRk6FVq9BnReMqkhKqlACiGBGLGx1tENlRM+dzcJDgwX5iPRILwscrIBUyxklwWGiYiJgSfUWV9v1zR7R18zas3F5smAOIj5yHYOnHh/O0fhYP0ShXFT6QQ5s7cY0an64gmyGI+fTwobuSWdDUhaaNk8Sl87LD3ngR0vpZBVtu/VaTaoOoDKKah1zjv+y85iGqvbFiJP+6SNIVBoUMmDFM4XEMiQLd3SMIO4x3wLJDpV9ZPlWbBkIOZ5gX4GafsDwFHUSxHzW+xWKGL3S259zRK/QkyzrrAyrKmgWYof4zW9e+0NcuSKat8D1lHzNpli9F9EUVjq/KWDqyoDbtCKnekCXdGsU+lPfL1z78Vi5FYwoJNbL08v7rG8fn1wAFrkaTc+3Z4ZMOKnBik5xRt0U22/BV0LEIKPa2QmUT3bSwupqrKTAJ5JgChEBdS7lltDEikFeAhAzduOWQudKb0E4vTMjwgCjwVyBvUdI6KFCikEmqh2GMm1vb4ByLou5HjTbCsBwXC8Q9iHp+7YwCHAPpusObqJDQY4IrMyADtjjuRlWToY/EsQQ4RnhPewvwzcBSpVIta39ph5wsTti98Xr3tXMa/fTT37z8X/6q//wEvxv/vjrFPeGMtbrh3/y+Wf/5//+X3x8WX/zdx+/a7mcrNpXoNQJZazafb/LKcVxLUnBpRYvuebtPeM/Ss6YO2BZv4FToahROQhAejBHdzEymOUyyKEotWKR113MW6ZWJ2vdrqf3T599He+/Yr7U07WeViL9KBF1dbySodL790//9Eef/fjLZ8oQiLXt/M23r3/9k5/+/a//8HFnNDbK6cu9C0R51pRLn6aAbj6cBiRruCPQUlFSxCSJDOnvq3Ukmw7uT0Rb6B8OgwwPDwkDBaF06HvMmmphfQ+FDK9odxaI6rJC1j0kXG1JVCzyXpsEMikxWo2ImdMjYLEQ2dyJhpawKN5fd4O89P6L97+Nb4injNWinFHaOXiJ5xzMxzJ/iZFUSAG67hm/2fEq5dSjLgmqkJxZWEaEV89PmkVvd1kvUrD9rkuz3tOcWM8BafkEQZW5vt0RoTQCa8Npb6uLB3Rx8Y9pMZipXeK0M1PL9fdIkABCB9j3OL75yThBp1OaTNzPVIdKTki0025aTaeinlj+xohlBNnI69YNGHMCmF5F6b/8hia/JZG1Gszs8nnwxkp4uEMrDHebRwlhsxPWvRDdyPFuUxhBsu+zhumlo3nQXHIThmWGNzW+d72pYqya1owsn2FKRDk7LYWe8WZzGYffobtrOKEp5NmhNY6J7GZAo+8B4Z3T6mi5ASJmVp1G9W8dFbxoyZnJ5NveSlaf5oNTd7kNNR1ESNkoNCc1PTAY/dSKQbSOigpn5ALY4+Mg0H1kLZZf1XTpCGSP+GeMDe6fIYnGnvoYoMcU0m/EZKPnkc0cgMlccRMEG417wlgceWMk+zDfI/SCwsFALkmKXN9nT8uLOdTwXKzBH+dND6xEK2YVQVQQWmIRQpomD0UYbrfSOkRPbBrJO4LRqGB0SmKEugSKLgpXdKQu2SL6yCCZMxjF5TpA2XnrjhGyCcNxuJFHSGSnBlSTzxFv3vEWURlRc57F7IUAp+2HgPIsQZOPMRyLl2MbnWiJoSoP9IV9BIGmeIZXQSfQxWec7deHiRxdy+QKS1bHI9Jnu9lElRKosAXO810f7OzbnY9utMd4LxjYjunv+b3urwF2JB1KimYCNtzEox9Zl9JNCrG7g0KGfbSxfTiSmHkba27IGNOEOAoG9w9bIHCx4SmnKXbskU9xJo+BJ8si6alUpJDqThoVQjtQA4rE2ziSJGoaAgBdCOul1E2fyVzdDUT6NLYdxCePeztsMOG04PG9+PzCbI9ZUSSp6d0EHxqBrZ7mXM7KCJ/GMf2U3+dALL4WIfqt6DTGNmOF0aExa9huq7d21U1WI60xEw+8NbhKku0g7u30rwBUJTb2wtPrb/v1W+TLrfOVi+s6EndQ0d2tBMa1JDHRBUQpkAWl279wFtdDRVSX7lG5r+a9pBfEhQg173wfz189PfTob5tPgYe5yA5kPRChVj8KyPWwxa+FnMdeiRQhepmpbrh64+RPMTsGr8gILcoLK4tRFQxXk0lJr+JCytAygDShzEKNBljILC5u1mJuOPSz19tMa3sLJWUUkMZGpjSZBmvwe4twlkJEdzC7C/QijEd3xsmPTIolJTqITqK0dRg2mQOLHkupQtsm0qEXWZ3/WVky0FWJmUz5pFE3Iz1cBw16noe6l/KB222D+RBu2kh+xPVXv37sv/q7fl7/4qvPn/Iuxb1vKPzFTf/X//Lr/+H981//u59g8ZHkq9brlpYyxJ2FzMYDDgGVeK/iE/UIPVCRfVHYqIzRcGNQ0QygqqMxzzUQisYMGmeA5N5jn+MGMxS5Q1qx8opHSte+Po8vf8B3z/uzl9t6VyszbkxgB54CzCzW7ZHryq+eb//oh+/+5IunFbpy5aorea/bx9Zf/+q3/8tP//CbR7oPbbKc5sCEuh/HhYMlSereUllShvYclEPXAp7GEG4PYm4hAU17Zm3kBdk9Jo7R5mOqSZd5aJQ6GeIiPft9bGMkk7Itr2x+A3DQgNEthoCyn7EHDrMKt7ukYObcjY0Vz4lXtJR533jW6v7w/gU/+Pz5755/t5+6e7l0MX7Uo4+BSWYOCT6FKGAZY899AJAFrO7vJQGjRykPnJWUHWVQNUtl0sPK24EUVT35MofEIARRhhd1EC6SHYjiJlcYJBoMJQlEnluHBx2ciosMN93A3LZv06QOnYzQBH74AhwjFMce0Tan4TgCxxIALk0J796gsTFiCDt/xGZOKSPKZQ6JFhxkQ48mk0U1hMocjksQ5WQkss1akWx5FIGy4bk18Auae60F5qm8hcJKjHdMNMLohHE/5QjUlqVQGJnsAaVJqgoxpJJ7VGt5CEOmOuy53aXVR87lBJX5JS61mm08xMA1ZePaZFK0Ueu3o0++yxFhuKxD1HKr5p9Yskhm/glYbGMUcvot2fnogsDSaIQaSuf8d8QSTPfADLmjlLhpdwUGMW/3MQYcM3wVdEQarVMrWkfWbFhvDA5yhCXSX9PqeBeaMivlBdSRNKRo2zOGVmqektTKEa/qmDI9pp8EYsJSAOwzywZqT8FuINqNSE/jiIFEx5P6vSvmkN2aBssybUBu1CfAULBwcwBRhxQqFZ2tjbOMRzbWsaOhZst2IvNh1lAIWLSBxVZVqp3XaXR1vBEadhxMRwrAdZ7eOnhQbFMywDFJ2CnkpOGQnOwcnramg1vB0K+QY+YsjMHLOHrZn2IQ9pyGhl06hnaNUYbbvuKkUUfGgkMKWvJnZTrD0fQB+Zo0VUQe8sySHkDACu7eCXSwM7tkdmcq2kalX4pP34YPFxQboS6zSkV36zURa+0BMwo+7EI7Bni1qOh0E4rhBXwP1uRMRDg2uOw98nVgZZ1xIVO72xXdaH0OmGT4y8KapqgMdYWC/ZBC2ZDlk4kSw1M2CUVEc6snocNHGquNtggFplNHEtEqe0S8do+0L854leNHkqkDa9jYcBa2/3WcuJya7eDOzn/BwQS84Np2GoEy3AmLB01OmO1zUoQbe5f/jhdqG8+tIfZx68+oaRwcMOutV4XIIJE3xKfr0+8/fff7+/oym42Vz+/Wd7cH05iGk/lCEtsdgGAwOdqHNhiyI6YSg6eRTbzGY218eoDxFDMnY63ky7vn1w+f9o5XJFJVO3CvyhV2yWMtqWJFjc6IXv6oBljcLtgrN2xWERhsFgLrCgCZ2GwBmenmxNfs95lxpAfMjR8jRYKJLiL70IjE5LEIaqwgY0ueKaAqeIhT48ipeKY9+o2aLlU4JboEsBVg0aeXwNV2+WlaBYbbegvPphM2dGSxNdnH6nbkuyK6IqPP+RsYYAvoYoR648B3Rp18Q24pl0Ktbme2pxnB7HthoSG8qv/93/3iVq/X/+6//ac/+uKpdsR9v94f4O2LH/13L/1C3H7yW8RHfcPitQjdey8qeIv1+KTovRn6NKwMBvlkNKoQ0QBLnBmPcwYurkaF+ZRgl8jEJZaIcOQ1bc6OxMqIuEBsiNd+fs7Pv3r39IOXd+/WhXs863bl7VpEr+B2ghQB6LrpR189//jd8w8+uz57d727rlxYXLv6ocdPf/fpr/7hF99++IRKMpkJJ8pBD6ClypA1kYQIldmXM/TFWgjNZleNtjaAdq65xuPjzs5yCoeDQFzDD6R5XziXr30rkmLLBpzJoYNEl9w+UVIAs4hUQ4HlASXqWZwuA8xWWDu0rMXtcoWiAFEo8PkhCrkkVYWwrndBVuxirsajwxZV2/+iSgkav58MRAF+uyGhQh73ZZIcc5+zqGBLCYsQWljOhnzTIQxqMoyHS/xh2837W0NzoJpy5d0j+YcgdSBlmsF4aqB93E6xZUA20Ntktq8wnHFf0kSPePDjrFjFhMBPugGBGeY0KI0wM35pqEcR2DLkBR6rGYeZneLUIN3QJDh/rG1bmzFZGhltB1kG9wcCkqe+2t54NOu2jPkGDP+JwxxDdKSJIRWYXHBFBxRA0ARmFBFT5iMQhfYohziwFDBqJB9ipDOtaFO64DGozYh5QEBZYe7D602owPnYxNsOMIprshTLyIxjtXAyIdXRLE4MeoOdHW/ANMtyh7HcuXhxIz+K/rmqC8hwNPMoI9BBuFwd9gijkEB3c2a6eKAbDt+FcXu5/fMNP5LaTurMEPMGsaCfcPQLkThD9BpIOU4kIsdA6gJkAOezzA3f93AtA726M3HCbAylMH7PMDCLZcbH3XVMeWIAMqQ2WTMMmO+3k8kyJZvRfJuPRKE8g8YCK9Kqx/GRA6f6B+Q61rWvQS0p2NurSNY2I9qNtOUTCHaEAXBj2enjDdMRJqFmv+WrmxXCHAQmaNBvE7eY6IoencPILtDgxG9aq2dX9DFamqSxdFGah+6NMBFaw5V06/gtLIzv0XaZnh+eWxGzFggK5ehFTlBC6AjL3UCZrEG6SW0FGTatkxKKABlJobUW+LBkUIGwo8E2awWwFcs9okXRgGzQrGaSgKqhIq5ChRRAd/m9O3yQA+FVTydOMSWdFJsD8Vk9BUVDGUE8KHdrRNja7q7CJY8FAUZXwhKKEQsNiwmpua3p6XbWU4/EjmorTlujzFT1uNZ6ZoM1+mqP9QbHqmDGevgyL0wjBS7yZjFhGDmvHlvCLFWmom39kRpcUE1HjXlOczyDALsm5RrgmeiEkfQYCpBN2iZZMwgxWH3ahWF+pXb376NpgD23Cc4ZD8AqzGx3I6/9Ia+nxx8+fvvrTz/+Zy/5FGrcItZNkSDUhWaiJureQZnWUAUwkic0bZqct+z0/H5gr0fsrjuAwHNkLq5uvdPTvhqtb4EPbrGDlKejJmZI2lYztSOyvNvgpFmP7zoz6TeYIOAOlikWmR2VGQohPDR6TYAZbb1Vq2k5/rBwnaTEXLADIRcVAd7Vl+eAlCobIEumoTNJz2vQHKe+5JqCkgMhAg75N76J7GhKZQJ9eGE0Z1xiDaPepgcdnKgZ0IfRVbhs8CilaiQTuXs21QBfFGAJYIy8oAIoDDVESgVEVYiIjL17rdyqOOJhdF4zS/P2r/7+U+Fv/k//3T/5yy+enwPVVZ1d9x8/76c/+eJ51e0i/1P/6vVeT0uBxWqBa62s+z20K54DlcU6igGeXRrYNfK7w6Y5ZM+gSFHBpb0jlsFJg5kZ462LZMZSVijwrl+ebl/98Pbu67guPd36uj09PwXxAPoCsYBmRaH7tvLPvnj3o6+efnCtr9/dvsynpwhA90d9jMeHzb/6xR/+/lffbVneWI+aEOsyElbRjVYZu5Kg4lbT+c5S+ECpSkQXOeiFoX6EvUuhQKiqYVyA0bBpyRnLDkaI1VXun+BQa/+7UUIWux1kPoLfHhzByFERELrdyBJKoaoRqEe43XC6RRIThqWWolKB19DLhrJUC9B+VK++vVxxiYoi0QhY7KziWNhcN8PTVWGSBsKYXNqBDDA4J3I0n5Lx6HJGnT18rp08BNm50ifP6nQyb9KbhtJp6Zo8TQClc9zO0cvvL6QAWq3wUKai8x8T3JBijXhTB3XHiCVSbBVHBP1GuR68zxUGgq7coFGEtu+DBB+uCmfGr+UBPcEKIzgx0uribQSWmhPEOWiFHcFJxHQ4nI2BnKiKwfXXYAUnwzQg+vG+wW30JFB3F9b/1vAxjjf3KSWSk+8Sg25JLaZySNhBLF0WjmpxEM7BpHuEDAZN49AKbu+cPKN5rGMYYQyjD0gdodExSZ3MXa3LsPLYPjHykenEx3ShEVE2CGuHBvhGwq2fYIhvIozm4Jy5Kmp37i5aveGQBok5lhG+rZIeW6iXCxlh2U8R1CztikbRfL7rc759ypA25wW+BUsyyNHtRMLkRrcEUf6gxmBJguEkZS5HJIe/DtgKMyE5SrYDQnr7LVSfAsVRLq5BZuKs3gDsGIRJww6gZ7BEzMN0M+xOYTSJti3LmBsPQip2DM4uuJWB9QwRyGiUGlI42nRbLAdPtiMR9klNzTzyK9dmAbkpMXR+6BIaq7XBW8CKCclyQd7O8qip8rqRUYXJK2q0vD4cqTIiDJ8js45PeQjDHgppnxFSU/cFMDI/gWfnSpOcEQKMro7GaPRlKoE5/nyvUXUH6RkKpDAS8IgTKmYpx8o52KO1wHvvIdKHA/WWHd0hmf6AweGM2xIUIRudLUS223WvNgwo7L7DYAMFaTfCMztmLLFPBAt6omGbg8dRHfvSGEq9smeO0aG2nRUZbxi7kaEGqkujEmzLY+ajCYQ2Eo1idBfgMwHWFkavniWHRBQVMZ9VDkLyGUjHatqiTY/EQjt72Oo9yKRmeRlAE3fN5ps56q0FGIGg3Xk4sDTPHUINuos59cygzIP1UfhmtZeKsTDAkykGh/eOxaiBgXQMaSWcWEOG1uO2P98fb9/87MOfrB/oRmRjPWdemZvsiMk66QZSCHZ5Vsjh+04adQeT2MVrMF0g1+5e6u3PyXh+AW95k/RuQ8nSvaqrWcwIgjvRBXszkiHpBlRiy2Q3js1j4mGbkYE5aalYzgzqWBiK0ZdauBmG2sSLFXCsINdBDKHFQECJ9RRJkNgiUWhAYWJcYnKU0ru1pqXzzZnVZ/9Pw/vm8G16zkXDWqOOsCM8zL2TxSYW2dWnBe/JgAAc5uOXe07Pt8sCM2LkgGXBKnqU3kwupl8R5OHCDmwVLHSMkZNWE1sX2IsZQoARGQuB2vzrn/7uu0//8lf/9X/xl3/81YuItaUd9/jsaf2TH379dD29vMt/c/3+5z9/bLGwuBp4xFNcV7Cx78y9Zy7WWnygoehEoTN9TxjAnkCOGZmrxaur82aFVM+u1GZGRESkoL7qYt1uK7+OL764fflF3m51PV9PF14uIPq1PI4om1FSX++cAAEAAElEQVToC/riyh989dU//ur64t1nX91uXz89Zb0iUnv/bt+/fexffLj/5Fd/+HiX4onaD6BGWooC7G0DCkj1dvCLM7q21QYxxV18/+XI3WJTSam66Xij8Jwnn+HtjAQ/g6BR7NRZy7A9JRAVECzosM9wBa04Vg+ga3hmSkwrwQVj4g9EoIuBiavFJlPBDUG8LCj110sQVbt0dYkPvaLyi9t6YX9AdnZkdXGFilJExUE5XFgLPuBiAo4GeveOHTlM88Abbv83ekkS2xpVYTUAOReGcU47jBRl2ipOxqJm3Kosx9EeJ9o4yN2imGfrQcustR4Ankioeuoq0SE1AEmLVj18o6yNgv+AUWzOi3NmQ1hzdULMkWa+MOAJBscCI2GiCITnrXSLbxGOgYn79tnbGEGmyflRT7H5kG0+kWiRzY7eUtZSgkNYuweiaNLSN5cJTxAhTFSLb6aOaBVXwGM3LFyImWvJUZYPtXhMbqVxnw3Firal2OqPATKmCYGvtQYG3xczouzHC6zhb+j3Zqk42WBy4OtqrmxClDKyxcaDQVUxSTgwwYihFUFRajeDli3IILgaDI3RxJIDWJgz6I3wcHd9MKlIQsCaGFuLfrA04hBXhvLyPCpzNoVJGVQj3KdqYLvJ9vCtpnC6L6Lj3HLGAGjHrcH+9JzBdlghGh7yGrBqEGxrrByXBmE77gUD3Y70AFygNW/sqhj4UGqb+d21oZ3nisMqeIysTznXQiE6/63XEY9Ejqlc3Z3hyC2eSGDADRiHChAcVsBNCW0NvXofk2UTsnV3Wv9g0KaX9l37vbinhRw0voUjMvA1OoYDx60YLzPPc9qxTaY3F2HQ2voUhXUyQy30MACcNa8SPaSgR+N3whKIaUt4pEDnrNfo3BjTfs6j+b6ZcFvmNzYIT7h+kcd9YAhMV+Zj7kCEB/NhsW9RWh0tR6bE0KYFzvkA4EwyIYjuXixKCHcFp3lfjIqhYo5c7LAg86Xc8hh6snKNfVp8BloRPjYjh9QTcbLoYEhbRCJFzYiFdrWjqBMOugFKJRzYw9m+bChE+6pxMuck7vb+0XbHM5QniSiPMgwvwzNKTATCbGmdUYejdSTYx7TNeZlklFVuPbjFOVcwudBvvKNJTGRoJKHGIawcdiWZPYNwenSlmK0ykblGBhIoNytuoINvlhcNHwbAYXY4pmwLKfEa+hKv+cu//+1f4o9XXomPwIm+TwT4eCCcbcGQaiIUXPNWzwqksKVAP/qRcYUIOO+6qaDur3zEI3C9fIZ44i2DUcgVS68fqI8go1AheKIDfP12qpvtHZoBa52j1aDjjrmpCwFqLWQ48IcKo1LEwnjoEs7yhqRUkQgDRJ49iFzJaKQzW2IQaMVsdQxEnWT3bkVamgH6CCghsJvOzgU2IxXY0DIKQUxR+2YSK+MvQxNxxA7OchcMORHdBQec91GBSe1V1NwxQybYRIKbFZZGwlwnDohDq8+TUbamlw3BvUh5f8VjF9T7SVkXcAMfe2XGlaGoiJ98+/rdX/3sN999/IsfffnDd8/vLz7u9+DtFtef/eCzuOGzdf2r+PXf/sNH1OoVS717k8iIuC1dWLsVNz64s8Jj3ldQDC2pnep+SomhVLOqkiM6tuJrVcRyBBADzH562e+/fPnhV+/WV4/nyOen2xX1/FnQw08QTgR9QLi/3lJ/+vm7f/yjr3702edfRazb7f11BaojX7u/3fr5N/v398ff/Kdf/eyX327BMSQleZsVZQhdAW2vgPTg7Tm73fy7Dacz0hbboIQp9YajZcFtjb4vrBjVn2vbhHxqzl2rw1X7lnN1FzxsNUpgZbAxLXFUVc4Jn2IZeaNTcCxUbwcwEiPIbqjF9ei6HF2Ee1esR3MRrFR82g/Vfvd5rvfQh3vyZiJYdvRVT/Y+BpeW3pAN22mNwLs8FGSrFqFQN9LOmskL9OC6rjNDAECO/BQnBSRGUPE2iyUG+GiJUU784+QCWY2CiT5itdYAAzhBcQao0AF6MNdoRWVWpJsRaoXUySgf1RrX79h9RedtjrrTgp2ZA3+kvAMQAxNM3id9r92uff+eZVRHHuXUFZz8a1UDUjDsZTI/MgNVhWmS4FFmvhxdZrpmsuTAiOrhLzAMnD/j8NwKGxgxQX0984swZT9wZPPw92gdgZKcY3hY7bdr0qxOC46ug8KpBIZTu6eBgIS27XoNeI9QFC25JdFkIjTF74j17XroSPt3AYolnLxXyWG8PESr5V0qwgJFo/EEsvQYJHs6f5NYToMxoARQqCStC1EjotIW0hnGEtBcM+JwLDYJT6kLV0SntpuSZTRbGg260N2+2gnLBqcHxtBhU0Lh+yJFigTHTcBup01y/u17TgsDkfcaugHBSN9H8s2itoCrjXyBOasmpDoJOIYNXFXje4/HZCR4iYyyyJi1Y6xMb0DD5cGZvRWhysiSGj0tfcApspJWUM7dIMMackMJye9ZPgUDMrvmfFtGGrc3KpEN2lsPwhO7/RdEOGt+GBKTjRbS+tC0uDpG2KOj4wEhj4v1MQKj0T2CUDMNE0c0D/AE+SKme/HbD1o+efR4Pr97UoXCz1rsMOA/79L6ULUqtcYXZcy7icCK3nZZbTn8lxFxzqaJ/AUQgRhFEo+VzRdbMKzKrIykmGCnCLfnxDTrOVOtIaePjK88OBoeEg0P33JL4AeZRoFs9jrdrlMSbL5E+/BkCU7oHCHNFFZUl00vlqUilmGt9oahoysrGdUBdTBaW9Iw7zhWIw2krlFZyhJE85nWfQ2aVLDeQ0l0j9fHAf4wk4kZuSYNXzUXkDORDBmZO1E04PYDs/Pwtr8hEUmUJ1EqgRo28GAIRywqeuRsvMELnUiAZ4UhOx4StfB496uf/35/9+npaTEvgb2omAAqeHwLpiOYKDMKLUbOGchMNKSq7kc6TMB1r8BHRwbU+7tqAO/fZSTy/XVbyqen+MO+P3V/aj24SrUDVDI24CSxqgpluD9l2d8FKsBHMEy3JiKoRcQM7uYJ3iNVEBRsdpSDDeg57tGZZDKKmUAG05YnRVdc6fx8LZi8hOSQ9kh1jYujCI8uEpJdJINZUUe0VacD49wtrQr7fIe5c5isaxmLasscYdsuM7BXMh7ogBKskRebdsbB5dxESwDGHKryQo5YABMFSHIObiQRUTPwhAneWQjsCgKtDbJ7X6rISK7Gyzef9v/6d7/5/YeP/+xPfvDD9y/vb7mE3LXW/vrplv/oa96eruvn//4/flOKxsWRVNbmgyEFbhY69tp7O5kkG70VaSAYjWMI8k5apOIJKnSmxzz2nWB2Uk+f6eWz/Ozr5x9+cXv32XOvfCKu1HVdAIu1Ym2pWnV/fRL++Ov3//SP/uTPf/DlFzc878iotbIfr5uBXL/7+PqLP3z309989/NvX3/yi99vKblKfAi2yz5ydTXQ1epH9aAKgyebtCNGnws1jdsf2NLKc8QZJWDT+5wmRUXmAcw5kGVZgdEopi//Y+85gd4j8UZQnUZHhbJh3RoB5vg2hT6ZBChXMe7qOa7CaZTF0DYSyG7dEddWdatDunU9nn5wW5/1/o1nDy/gkxRsh23ZEmGKaYpJU9qjSdGxph1elEPYEiyVrWtCSriajwujUZnMVx9nU0MbIRvoybYX11RWgAS7Bqo56FMZJnXeiizwdSPiYUr04TtXvsV7Mbk8AtKqoDoVhn1abkRGrXEKmkEeGIN/R6Idqk6adzv3bblvAWBfpMsIerLfm0zd6m03/0AKclMB60RW99aAlSf/tN/EQ+L0lhYsujJfYLkM1KgiGlN6+wY767oBTo6Jp6h5LKLZTFhz7yd/UpI8QhIO+hYjlgBb787rN02dVJudGuQWMCPmPhDaDlfzchJt+C60LE2eFKOYP+BpJ2QszMqzKClAuM6bnXggSpz+JWKEwukKFFQtrtnKLmQARXQRWG8qtNH5eaY7yloRESgfx76BEWUp4YM5Iz3czUyx52vZEB9HHdwurC3l1CQBhFoZ8uICJemYlB0ucj7WiKEd1YHEaHUHWPG7ct8R6T9ILnBufEy7opEdxnwwmqbzf8jWZtrZQhIqKpSQB+FJill8JkFGnKeRqvn0yjEoe+2qPDWHZthcexEIJ6RhCBpIXGHiTmzyaupytjbN0E27S3bOtDaryQmDqTPhSqfp1di0nZRzVgplnWeGqdYAgHRhGihEdp86m6S2MSFMDpePQ4vTlybMUzYlQVR3nHQG6jSKPtTsYQatDI85FHK23CAsGBqIw1FQ4XmDOdK56ZOpTvZ2+AjS9ixhXNPTYbiEzlyS5dIOHJp3C01WCkKoYNC/ylV7EmIUvheFIRUVRzvoOEUj86hmLBeoblYJhGeWk4a0wMkGLJ/COjiSP1YfJUzaIThD3sZMwjGbLLKsexZNbbZCcIao4UEPhjjtUx/mwuhQG5ebX3swkoN1aLwegBmUMIDDOeAt8vN7m1C2OvCKpZVo31njEnRPr9a8ME1Tb5Gp+QlCXRN7B2yfA0J7HuyshDh7a0Ydesv4oTbtUWKAxSQ/4Vov3/3qN5/+8Hh5967XK6KvgIdSw5rWgMogiQKsEMdDBpBL6K19KUSPsOrWSk48N7NaLmcfrT/UXb3ef3bdFiqiVq+44uWxP+X6+Lh/imt3aaELXSrogQRVpWSE7QuazxWkKpFwrn84R7Q1GYpuDlByVdPJUIKBRDSRNxKMFQgyxkLngLMIcIW6SHSGIx/GmuUur+SsMmt0Ss7u8KluuOXwjHlGzxircYlRczbgQhfDJp+IRqeLnCoC86uAmctYjDRj5WHfSHNrMPsVEAYMCANp4Dgsg+3ZManE8P6T5zdSFiK2GYfNDTmrf1Edqx+K1eumG3IXQf7qt58er7/64x/++C//OJ+v65YXd6zA+5v+yZ9+dj3F07vbv/6rX376hMRNl9hORlTctZJA8RHroroLocSaEznad6+lZYpmRinCXy1pkjm4+Xh6yvdfrC++vL744bvPnvp6yswN9nXdSHVwNaK4a+/H4zn7z7/+4r/68Y/+4kdffv3uCY24P9bF+w2873zKwvrZH17//S9///e/+vaXv/7mVx8ffQ895d6SbQvNVqsfjhWUV/SE5XX40nZpW80ZLk+Mbf6Aq4BscMqmPBvSBUgh0grB5S1lZBduIXzBjH0Ok6g8GYzBkWwckNlZEAal1TnJVlBHTwlQrmeOB+xNYoojFr5EXoGWkgFiN5+mvY8Ht+r5y7z9mI+fKV5X7EfTExGGcswAkk4XQtl7KeO8bHT3cN8gNcftYM09gGQQ0cEsNjvI3gxqwk2Wv8XEcAUs7qe7YUfSevp1qelKyfCiEKQPWPtuJ3sJdPKhi4LuDAqePCbJuZjpcQsLUZa9swdit+34wP1AAOWMC1tZ/CH9JzmoPyprtDzDZIyX0Owu6fnFTkR2cLyrnpEwabTzEwtLorVtoWySSkyAwlQH6MG/e+YKvskCDcmOJsuXoAFTwqeMb5RRUwH7RDQavHZxY+2a75lpGUjObB/3AypMB+eKBhgh5aDtFlr5iYYTE6dtzsE0PLTG1fKI/GWMLNjRxDpKWiMcgyuOGEdE9OpslGLCZY4CDEMNvAWUg21DzFYv79wyQWccmm5WRv8xPlGPmWJJSUajc1Rr7MbKaDeG6TufRHQfaoYTiWIMR2/iEgy8CafFHwh9Yo/6yP2PVaYlF3wC0BEOMfRatym2rKVVdMJi0PlFxqHWVBujiwDcFw6kOWICCQq55nf4yPErn87DaTTed1v2erSAKOvDxNOdIQfIMtHVDqQ0kZBW1RSKZFWz2JEZDDU9zkFiMtJy4AB7iqbyewER6mPGdYWMiDjn8Ukl8LcivI4CzVlSZmssC9uD8TvFMkCUmNGj3MecLEh6FAuk7gpzhwCpdjoc4F56DMZwOwT5b8ZBRmSwHTb4DFs4UzQnksCTwdza+9OaFZjUMfufGzSXGkWHVWnobExPZp09J1nXVpNM/xrLfCzET2qiRz3FVIsDUky/A4g1wIOBV/BI1TX9u8ujCESjuJI25DQcDGRFFduK6+aMCCEsHvVB2Jj2EyMLkHeaAw40hnFgU+PQhHsuWhgJjuRPCHQjcpZL2eZdQgan8wAPXY3Blbwvecwebv5G2x3DvroBRwDqRqYfsmLqfQpvgys1IlNwqsKYbzVmCo9sUzOcv3nkAYc3mw/nx0AT4u7fJjPEjgukgzSGO7Xuse584I7mx+/qw+8+Pn31fK3rsdgEI2L1496UyuwoRsMX5ePRP1B1OGtT99gNXp5WBHC1SIndTezo1jf9UOvl3XpaGRn3d31dXE9xf1nx4dH3uO7YFf3aV1JX9u4t9PbcMgSCOV1xrpFZK5EhtSJDGKsTGYGKRHTUZW1ziKFQEh0RoUxCHj+siAhUBz0rewT89iXaimITcJWCzhIbWdc5LjkXrSKcPcJAWotokIndAhD28RkPaWDMmstjZUxW8WTq9ViG7QRofy4b5cZfRactwDr1Ax7nzG3QhOmAgxkPBX3gFAKKIvmoTmb0buYdeWEnL/ZD+XhUSbzqKRjJXPGHx3787Ffa+LMf/9GXT/lk007rpv5HXz19/d/+8R89P/8v//anv/rmA2shkWDoKu7KwH7QQ8/7ipiwitFndLhK9O3gcgXRqWZsEusW66m//OLdl1+9//qLdXvS881asCaZt6VSBHW/c9fF/url+qM//vLPf/zj//LLL796ut6Jj8en3dR1Y4B93Rl/+O7+73/9i7/+6a9+8ftPv/tYH3apGlz1aFSWHsqqnVbNWwkg8QR7W1zysDA85ZxdSYostc3aBhp919PvJQ7TPwtI3vJsKmh5pZF+362cdBZSMKOVkJS2D+eZwXIY9EAnAwnLRIoBexHMuVs2SI09IVTuWWEASRfaHtR6BBcrerTWDT3Vrnyvz370/G1sNbmyKGxkh773955smxTKWwgaIMEtBzyufHBlTU9vqt0PzOUAsEdqLRNiFmyXIX8UI07gjibz0MVpD44dg4OayrQspEzTyFgh3Xq4GJpYfptjoglTyn0iv40qWzLku3ocqxpG2GaDuei6zdxb+OtCEUO2wMF/Blk47xeYCOjRv/jXkbaMcVzfsDYqppqbFsqOal+1RvX8P8KQxdgZ8CbQ18Gbt48GZx6x/WYUg5sSIyWtsSn7HoTTAmUht02MPigJjEjB5LWkYKvXsHsaKYfnREkx0zyiwwkd7uZ81BEnD9Rtgmk2z41iFCwG9SgEwEkRwEAhFnvBv5/hNq+PwRMO/nbv4wA3tWS8ZgBXV91qyFEchQmSsZC/hYtRkphvgF4dZqlNVLseaDI1pP/oPkdv8L0ezOWOSwUT7SrrTiWgPXqWPJo3ExoIAV0dU/9IUJ631nHQB06ZGg4bzanYA6dNleXGRzpqWFpElyNv2Gb2eIoNS+IDZWm8NEGsJ3TLjYUaZWWewlFP1qnAOQnDrDUQjj7UkDkQunsNz0XYDuV7Vgz6ihfXMNiWWxkmDqjs4OyphMQccYv9ixGE2pNX9Ka6QWi0bigX3nJrdN7jTOoEBrIuTrSfj6DhAmPwIFBzzgKa5mYWlKthVwWaZNSYKdEHFQidt43jn3FzBtmWxH3EIafcDGI3OunSG5HDFHVDjH7M6PJuTURwzdtJiGucEFiWoZiWF6fSqlDQYY5sIphkHfLvsIjgRVrjmeoa5ytIBpLDuHj9BGc4mNvOHgTc6V3dxALLoGwzgHIjwgT2kS62po+KQEkwlG7xCpdl1vLUr8ktHYRs1gcQsMeUwgqWQayR+BnZUXaUYVQMV2SCzSILmkXn2xczOuxL3xBgT7kQid0unB0LqdF+63Qv0wvPEeuLMeCvZSpiwDK3GXM5jMrFH1k5neuJz1QwCc2sjWkgQg8It8L9unX+4f7p248ff3g9X3bNoSJS3CGVz7ZSF8M62ph+1OCNIR1OWGxUKNbmAyvZWRVJiT3ZxxAfn/Yf7nV/X0/ve2VoOXywr1s2om7CQ/G6GaztcLhYLFzZWOg9RKKvdA66SOuRVjebkeyKMK4XQPelyDjtLiITgRVm69tnlGVfG1Qr1ux7hmHBSWJ34aRYjeqKCWD3sIoIIhB7MiraGTDOIGnnmDlQw2K1EldEawdX0/GMMQdNtJvYTJXMuY353iJz4zzDH3PG6EjNWKliw82e0DEVHal+S7QWsrz3w1EG/iH9CEbDY38e8gnAuveV4sZrP1CJp3VbCOHlWi38/Hevxd89Pq/P39+eFgNcuV663727ff7Pn37w43f/5j/+9O9+/s2vv31ACyIv6uPWSkU/aSEJ9G5uKRQdWEEkE6y9mw/UDjKzrpf19D7fvzx//vnts89uzy9k4nmRkQtat8i8VsYt8EU+vdz4buXn75+/fvf+x++uz66Xl+Cuje4Pj50Hs9j7/rcdP/3Fr//q73799z//9e8f3IIqBHpAHaTdVQ3nP+nB8jj3QSonLikoaBU90UwLua3FdBM3s1dZKrDBeLRziiMp509ELEnw5AAyFJoeD+QhwM0zQA6ybApEFttwaTmemA4lGdS1a04LAFK1DyKqS8VBJqq6TWlbqhEWrTca6lpERabudz09qStf0Yi94vHlDz77h6ff6YPkBBo0JuzIZ0OoB3sB8oSj7R5ffFjWPmcsJg5GU+DBocWYaKwcRNlokt1BXHGmvMDtvheysrRJ1JFDRLc5swbEcvHjNCHawdaKcBvm87ypsBhtqPlgD55O44njdvB1PXJNkzMxQYNHDdzw22wAaSnLUISBtlI4QIhdIBs1/QeKkmZqq4AYgBK03wvARIY48em4mp1eJxXNMLr87e+1JcZ9JZjEfzOLAzqdw1vBDzq51EIDEvCwUboUyRy+QRotBwSnm4LnlZo8E7onuGQaihlWP4h7oD3P+aTqjKISh+6d0nrMEen1HR0CmYEOxkKS2x6s1YTZrYGC/Zzn94cb6tOp+KEYPZ2cvyHUlNO7UwaXz1RHICYaYuYoBYVNpMdUUMvhW3FUHCI6kaMGmL4M5KS/YyaVwoqVYUUoElwR6k5Gm70FnRXMeVgTr9JvDV0DAce8JKylivbzB6MFWS8432tgBpLSOnC2f80UHIPMAvxeKyGBEVQoe3gcRlMuc/0fllb44dsCcTgHx7PGGwHoQtfWKJTktB1iCgy/ug5aJWObnldDBNP0NxpjUCG6kYBKGupBaQeeAdgj5JnviCkhsYUlQIpG2a5N5/BQrJGmujPDxGycleTzmAcGcIcTzqIfgRYP/K3JhkFD+WakIScjbaheTnfvz+ladTISCgyvnxiIbIowSYSxewVUZI60MwkFGbErI2wL2aNPCbW1XJAREbEt70logxnL2LkZJzockxFu4o+2zJIFypHoDbAj6S8qnPwihzaOi7TfHLTuFY1zmHASwZm+UodH4MN9fcFsi3NOCJXmQUjjDUilBEP5gzC6E2RwPB7otx7A2jPAXhGjLHNAeGT4+H4gNNMCC+AIFeV0HQ7H0ZJkPaxwuptpx30jzuc5naeXlSn8ngnvYZG6ToKZsRs6mU4n/HrYwokcwUmJmNiIsy6mAeOcdz5/lKm6i9AjY+3X+t0vPvxR/mg9XY0PDFZ1M5QbMECYCW3WhHb6d1BgctCDUBOJJTh3vkll8IGOBIUFbtIDykvffNd1f+S7uL3LiIuxQ80n8QJv5PvbetXrx3t9lJqlhiLwMJQ9+jzhEcgR+lN2NaVIRI4s0cx8G+kHi4/kotHVQMg6VU6IaahHaam0JsWHbAyQ53qlxVx2QbS7GxGBetM1xkhPbUYsR4A1IpztpZMiLiQp9gwxCrVrkZH9ZgONMtXEHUwBsKUQaWJF8M/CeAgNf/Lt9EQzgqpJNBacTD1O7gIj2o56BlWdyzZGBXpjAbcVd8g6HNWjm+iKKzofT9cL8PKH7x7ANx/27f3zerk9X1G3K6j9/kn//M9e/vxHf/mT3374j3/727/5xW8/3D913XTDp4/18eO98egN9BZDLzdXVt33gHbitjJWPr+s989PLy/5+ee36108P+W7ta7QXp8WEl1PoVxcgSc93j09/+PPPv/h51/84Pn5/cv1cruu5g3o2rsfIve9kyHtx3X7ffe/++lv/m//4ef/8Jtvv/lm39czphhBSK1dYoOlevTbFaiNQkNlz2pPTba3MoZ56FBU9FQbSnGPVhncc3bLYhAdbfVodYOGCjzxUnD1RjYHbuhq+kVNbqH13h1HIi3f7ul63wwnGrOyhKxQP3biiGDR20kw5UJk8Nve+7qEjM6+rAFVPTY3r3rl66fNHz7efXW7UsL2IZhI8rIZ7fCFhEUw4FveYHDErOqOiG2bnFPvp9iqGKX74HpGz4w2d0Skj9AaqQpGYTx6CnvbZcoRJnxdp839KaciWXHARSklmXm1+XxQLx6hAgELsYz4gCyVJa88nPDkQ8yZbMv/qO04hMRQ9G4Kj5YHVmH34MVunji3T6sCE7Ey1aylCmOw8J8cOLAPNg66vRjJoj0mGKUXBbgoOUjWNLEjsh29tmUgmtCCKZRHLRWjlug+0hmYuZiWyrMOBnK1hLsBJ74ioTKB3KWJJDMA7jQNIeyAm6xLDv4pE4NmNtwNmG9zT2bouhKrnBLqrC3ngTpUvAUb34tDkoydEOBI4VysToVoLsAxKfYp24VhukMT6zAEhcMjHFZuw66fOpbRRfMXBkP9m4apCa9972PLJpojsDfR4WITDvjuubzjqB7ejB1MnE1DCOFom6YcYPImRsfsLet25qmeDhALrO7va2STJqMXxPRCXtXz3o8HY0TNAa/FDFYfUf+YWd1Ykx5WCQGegmbOgdaIo1xQK8B25HmAe250dTGWW/EBP61nCYWCBVzibBHNfAqwbVINHO5qOcqJzNYDyIjs7nYtMMq5Q/LM8eLYKRfTPafHmeY8RZbGRIMxrwDH+j4xmMd1RU46ghFwBaZ0KLuZw8dFnxV2MGITuFwWYJHj0fG2nZ5aVmpI0aO/k63TOP87qJzACXM785Z8RBlWZACRBIMpsgtcpDbdsAmZVHfT6t4otDFHZ5eeC4pAbHXOXXM0KhRaU6tOnJlZHX+GeciJeKu737ji8FqdsRCyddg1tAPbpjC3yhrgGATMnxHy6YvU0Fd1UP6ejzBknN7OZrSPrtAxn9SwQnHUNm4hIQwtOXpFDBg3glvOXj1pZwCMBvMIU73xY0hBQKaFBvY3MAR4FAUsLTt0pQ6LPsKCnkgswaP6qoh4u/eCzlxmbvISBN7j9//w3XO93J4vrK7sdV0RVW5ihYTDbBJSKCaLdaKwwFg8GXPyVLIhN7tnlAlZBM+c6rXQ/fH+4D3uj3556VuSsaAdIWYmlCvXLfa7rrskVLWKh0Kem7LZqWQMPXbFEhAxqpdke0mtBHwURqJtY4coZwxHZimsrESpL6RCk4urmXwQAsJMmZ2VM7rBnZ5Lse8xC7djrhojFG2dDxYpJcIOYs/mrWzDytOGTJyPG2f7vnyHdRPEwUqDOmxifk8i2+xZRB49hPMXhjJuWJ/nW0dgV3Fs7xKXSkWzdWw2t+6KlXiQN6AZum+KdhipH589M6/b/aFv+vWx6+Pt8XQ9vexYWOsStN8T//WPv/yLH//oL3/1u5/+6me/+a4+fbx/98Bj3z58eK07Hzskffh4h+oWuC5cL3x3u33x8u728pQXn57WjbkWYiGiVte1krhlxHOup4Xn63r3tH58e/ni3buvn9bzu5d17+g7Hq/3HQ8/2RVqF5+Pfrp+9bj/z3/9s//Xv/n7X333LesZ1wtmiseDOxtqshpQV0PI6pIiqryDisAWMlmOLhmg71iyELCcZnTuVa6fRmjgAR6uLq0egTVjAmcIqwALBjE5EFKjfRvH1FwzQsIUkd26XoIWMbjsKOuQJaiJpMcDi6CTKha0o2EhQAuw9si5I2Vsl0g01c39Cj7n6/3jSzy9//p2vWRv2sEhFXrUvnR944Kg+yg2Z3OwrRQlRs/jWET42gVy+iPCAiJTvDnUKg9AzUFNTmFr+JhNjVpq8tWD7GZHH1J+RL8hHpuM+VG+mWwHaBaY0dMTNGaAn1mHEjIm2N5fc3CAjjScRKgG8jwWrB65EydFx7OonA3lkX1At47OxvGKmgLeilfHYy04HM2XqovZgbeBAdlnmo2CYdnTm3FsUCRw7sc0tY0DfbuvaHV4zp1rCJ6pKW2xzTDtGnkGgJmO7QQYH088YH/M2iyM18IY26ja4csO8js3kDzFgEyKaL7mlP3tXD8FxFgQqn3QDtXuan+ml50pC8L3TdCge3Ncw34MS2YHSES4kDMK6NPUYvqa8oxQTNrGaeZHg0YjjdHlLt6OxRFMDGkutPWh7MF3D6qug2VOYJfFLv5Mhx3zLgh+r/0/c+iC8Iymg1N6D9lkSEvWdfyEmErc2RMawwMxElMvK7cOnCbJrIB4ggWGlsbUTSAjLKb2ZDRj7ARNCTj135+5wCghMRmewkSIwv9lW+wTkWN0isvnQCcYYroEM2YQXXJ+/FGxJU5hQIFq2Rfb3Cmjlw4waylOtW16R5787TXpuobUkH+Qlbiz5QSShWIss/14y/0SmZ7mGwg3doBd0cLb4Q8cyckwnbJ3RYc2ccPNJjKjS4fWw9BEEwPuwqEBNdaFWbvmoewRVa9ACw1cVokEIOxB/xWMELmmUcRYXQIhbSlD9vsyejejURGBYh2LeEbskg5v4W3wJpwfaCDGOmVCp0Y+7vOTbzsgfS/gEFJhKZoPgrbGfYKHdRy4o8Oc4sy9oTGaNxX/wU9mxQ4b167n3dPC+JHkaRsMvF0Ek/HYenuH5/idvs+1usVpQFtqZotUnPamnaMwTUeMnXySy4KW1I+6/3BzA+FLgsccyBUF0zv1cAo4LSYOeOXNTKooT5U/OhBDxhfUvZrFX/3d7/pDv3/3jFVX9sdAko+GAXUVPb2URInVHclc3hUBnwU+MdThWT2tLqyw9mQaKwaolKp9FED3j3u/1u2G2xJXXNcKiZnNZurpObDRvdBANTzIWdPxZOfIEAlyAgVcHCng168AurlCjcXkkgJdHT54J12021vAIMD48nOmkzqo1aJLy2WC3UjPuo4o7UB01gXKwzhaGdgGduWpHFC0sXmFApPm0blnzUBMKnzDiNXQguDJY3hT6kx55M6v1amR94qtQPodKGIGA6gZEUgJCi528c2Lo+/x2AxQjlpuGDPiA+puYZH1gJbQEffd8foILgVvpRtu1dgRn3Z9Qj196m9v8Xy7Peu64arYub+9Mv7pj2//+Af/6LefHvfHvhdLtTtS2vdmrMaDWC8rX67bZy/rut1KH7v03adPDmS7EJGxVpC4caF1xfWyruvCu8h31/UuEYzQx6gPHUsNz20kGRlsZlR08unz//Dtd//jv/2b/8df//x3nxDx3mN3rq0CoYVg9w6wsIsJTY0nqJgC2hZauLclrM1WeTC9AS9X3NC02Qhoy4d8jHfVzHG7Eow3BS1gX2CnD/lTA0zJUnMAj9xwkijcIMLyICEiTMoeSgOBLQO6cnygUEY5HiCxoHJF3lS0GIxq2QfWXc1MdIrsRPPT/b77/sXXn71/9/Q7aIHMOtJF63LcuQwkyYruDo/PcG8CztHZ4NwWaB6QxdEoloSOGde1oC8RWVrHiKa6PWMx3sKygDkcLABS92GkR55keMfgYKhsNOAUrQOoGjBQN74X+xtqR8cgs4JDgNDCxBhybjqj6ta1D9o7KgoQYQyiY3CeUz1bXhSe8ucaKScyR5qDxHxe4xiIfZk61BlFWrMiNzv+wsIbZuvG0cn3ngjGowx3ZJvfwfDGJ0pOfQgAO4loEbJhw5jOAYBf7fEhGBGB4DOZwDiU3C1U2lppDpMD6kQ6lCzCUReHEnFtaIxywpZ8RI8wE0izESGWX55iXjGcFtmHM8OUfSd2zVzbtAEuB33xuj8IkKgdrvr8ImICOaQD6s3qGu+A6zwX1Z7QRdLjSBvMA5sNAK55hubVLW+VBXQeRsQDnR53C+28nouuw6Ipk/IjirAiIZSFXoISplhdeuWgxl728yMFLOdQlb9R0JUlNcVVj+NxplfDWJTr5AaXa0Yx4AEzBixiULstpC3MbkhA+cRRNsFdznehT84oZGJXYPt9u+sXZswscA1DFLZEgseX6RqcjkQYBpGz+1pHyCUZ+u7pegfvlxeplQMagsxrH1ExxlBAfpM1ZRnOaQeM2IequawHDBjlgqy/4Bvi595p3gb8WeRc95kGBgoOdSvYn+87YMiozmDP5CoNUGIokVlkdiMcY+Tyu91vhVTFwzYItMPELNzU7ARlY09imeSAoMKURyhPVvJTgjzTduwMXYykSyuKMz3CYdYHrBxE30/byIl8DM/39lk02CfIQLn39wDiEEht8y3OcTMeLzp74dwMhE6GBm3wNKUJGL0aFGL+0cCq89/8xTBDDny0HcnZ+UEub+U/5GzgfoOLwiSAj2uL9wAj8weocvYWIYDIOfF53qQ3+AwhM+3iI6entT/iHs2hPqyGpT70KjamzQgVcLlBrGyIHezUy+///tPHXzw+++EX64VqrUhluMOYrCLDkYdXb83ppLABXyGB0a1c3WJ2VzeROZIAdRMneS6UTOCBBLvwujfXI26JR13raj26FZEKcWW0xMIOBZcWapcviZ02P3ryCdkXUAEekbTdcpEcZgDOXqr0BgRI7Tk90FAzffhGgCoGOrQszPPQLB74Kpz7J6pIZBRxqbdF+kFO/Kd8ImzYrOgp3Gqkh7sozhKbP92wFY4jZbBewdvDdGC60YQIz2aHh4iYjGgaiRNQRDZHpTfLv05Sund6W0OE9pixbXiMcoqWXUg+5Qg8Wlwi4nV3PHZTVwC8P1/Zj52d0biz4hN//2G/f3l+l7enpZfgrTfVK/K/eP+SUGasvHIhkGMTBRX5vPIGrujX7k+vKvK1btmrpWtFdV0ZhAOqIxShXhkUblV67IqM7MLTaoKd3cUUl7CfunNdenn6229f/4d//R/+7//u7z884na9KwrakB6wZDDQaknZUtTDcEoKRzii3nWipBnbcCU0Pt9Go9ArVA11bau+oFDUUKD2klrV0yQR4xJngJ4v685dIUBsj7CeXAuamPI/4Vqx1ZheQuAidm/XH16obdZezi0btt/Vae0AKsViNjAV9ZTyMa4Bx6kzqiVWbfXmvu/PPru++OHtt+vTGV0WpAKxY2YqybBEt6kjTNfpkRdpTLcNSvMwFu6XIKsRvJEiPAGDh2rl4UBxyKoZy0LBCMWQDkEHG0ZPFq9VWf4Z1uM3I0df/4ZBGXJxO0VXvpFOI4IwAzzILJ2PDxu6CF9jgzBNcS9oaXJE39Blg13nk9vgoWFHdMREnLWH6KGJHDtrjD94uJURVxxtExb5MPTTA8b1GyCEDqZKM7pOHeFDwBV9Wxk56tg+YotAW1mDOXyMGmhEO+wuxiRI2hJoeE2oCNsEO2SO2MV+mGihVY4z6BXaE5MyN2oPguVIMLdLTabENLOxvaTUWk7hPCPbQPDMU4X0xkeMg4z0bYg+7xg0Nep/+vyyKa+TsYc1cVooCxjtCaeN4PQNEhOeOcOKE3nrvr1SGdntoQ4IF4ij0BnKY1iumIPAcs75gAJMOrDTuBTfWsgpwjA16KiQFqPppnU6EligMWTPEW01FVoOyDkS9QNVDOnMNK3pXTCNvgHUsdq7r2oxTr6R0VqEg+ZGaosDPM3HH6166C2rtOFhv0xFo8txuVQr0IiMEywaEU2twUrHaeyIwillpweZ1GS0fZFeEtIKyEZUdvf4ly34LRycWE3M95saza9t0t8sn5Tggt27ybXBtMKuaH1yY7445K32n/Un06DjjNmbKazeqNjOtHJX07SlnVM8e727Iz2Vbbh+7QhM4Wq2KYCOMJNWitWjQxEUSA4X0WCMCiamkDWghXGdD3DhdWTzyPdtsU/kLv8UJaBpxsayPd3aYZgs7iMnD6i633iSQxCMqdMhBvswWGw1MlF16ifxPIXDUE5kXnXMgKeD6Xj5661HpZLDto+Q250dRks72IhXMHEYPUt33uLlOHSAvamOjiXYMDx+QBa0PNLZEp4hvjDSgTEi+cH4DBy6InCs7maah67jidAweeGLgwmUhgcHFyAoqd5GNi7exHsFXx788Jv+w89ff/An13oBEkLsjk7qwUC0ir0VN/oLBXBiDixt9MQIRcfo4sdGKotB23Pv1dBi7A2mms2E9RB83O57qzpCEY/MyORaIhkRiBIRuf0uGY4OAMhoBvjkAIvF5alLcmRbU1QvRlHsxQt764oIVXv5bbUfktZ8JUGpQfV8dJbIMDGGxBnbQTHIMPPhAT2lo5zsI/tKoPEQwoqKBiJySpmwXmKuDvtK5ZlSTjLywD6HTof3SkcQmsAQc2xlqSOwTkaH2VoSkxoBB2tZGrva7HwqUEhHibJda6SXODh9wVCelZ0iM/aWohq8asfWNzuEXdIVEY87Lg9nYX369M2HD8+5Pnt+/vL56d3z7Yl5Mb9Y8awryCcEHpuqUDLrwQcejDvled/UpXgWn3CRSIYYuPLyvis8+rGkKou9+g5krhQ6XwiSHYyKSBmaKlyXnt791W//8D/8y3/7//67X36np5XJ+wMxAymr+JjKGNTauzZU8OspiOrs1laTCc8wd04O4+ioNdqVLtfcdFNMqcvXn3UqLhGoEezyHC1O6bRXw/A/T4Ccr9YJE/Bx45vF8hJnDUWrjEHNMdKamsAk4uiUMECRs7ZD0VRDaiNn4Zgixcyus9hQYD94fzTqdn99vH769OUtP/vx816/j/0Ssbp3RNfhTWH4ozWKELI9Exgptt3S6OCYQQeJ9sGs+UdJDNQe8JxxTNzt0YvIZXtTLou8gRzkEu6eGwoae+O4oyZ4Dm1MSV0j2+TpEt4cNP77ULsvO9tbRKvsRApKxZVonUDWY/b1I6bNH/8ZtWANB1zH++2GRwtpVIO0Vy0BscRh5/AGEgPWT2iQr5qUAWVIBop8FJyCxVWfCxEJ5iQd5j+Kk8Ao4Z2mY88ra9QImrKJrQ63Br6XPJ8nnSWTAbDbkybstXbWpQDUkaoeVYw5co7CNhptI8icrZCEGTpsTQ0NH/nmd2J6zzQBABW9XK94ValoA+Z4c+KNQsBhODBCDpddGDoDp9Sj+eG35ppoRM9E7wwoj77kPMQpAlhH1EMCE43eLKdZFexFtRqMTpzhWxts7T6i1VGpEQDowHizPQ4IhWOTMEAnpqdZGTOHdXgt2oEeONwMBuSVzjISxTVwKKZRwzQ0/oU2Nk1bawGdG3p+v8wIIbqKhCINDNoZQQxsDmdv5mnr4+SGunZyZVtkr+AuMziNjtCwi7YL0bP/LJkLZye6dzGaj7M/z/wd4RRC7oQARJeGke3RmU92rQ/LI1CEyTcIYSZn3orhfHa5T3qjGOGYRDEUG0aWLJW3auMsjaG1qFOX1yCR4KkKg2fxh9941xSnAMVqREy4DdwKHMKS0095rAYIH8j+ewndGbB8CPYFmYsSqJgwCsu4ja1HdSWACQ8hO136OH4hxlADzRrjga4LjGKzGecImbaoycXBHKRhVsCS1ZhwWESxXF6jxUxDAUF0dCA2rDXjG+gEWKA36kT2AdUdTB/O3/FSsnAd3bbGnLlbmuRaTRior8oOBM7objY6EO60DQQPseey2LW6/dKmB9wsY+wbPp6nYvDdM4RtB6z1m8LiaLXAoQnP1SEix24ijoxTZNlQ5l1m5lvVzDV3RzaQtL+CuHZ+zHhkvNTvH7/4q1//2f/hz99/sVa8BkHEamzqwXsgI9Yoz9SYbSp5PprhoIyQujsWBCZCu3HZnsd+y7OQAo2ORBRk9QpXk7G31TT89OgIXQyuQPaVjIuKDKc/uZsCViIjLDUGIjObDeYK6YEW1dySM0AW0R0xC9LtpGJ7ZtIc5J6hPNpaa+i7XXZYCjkB1AB7khi9c+3wsewhzlkH14DkmKXoETAFgEWwi8hqTKaqT5YFNvbAOzlxUmIH1W1fnZRIQ1Fk25tE+yDJ0lxjwLD9QEYHVs8MHQVXTKboRJYh6JO1Eel/utFJ0reTegNpuk+BwienYCS+7e4KvVQm4lMLc6zXaz/w6UPx0frBio5ci/d7aemqEIUVS7hCEncjCSQLKU/9cKY+ykOro1To162FVAqhR5FXSOoV3bVWRASCNzieLClBSOl+Pd95+9f/6Vf/41/99f/3Jz/7gBUtsitreuuHAR8RsXu3Lw9nAoMNirW7lhKIUs+tQMCxB75OfFoPZCAAzFTViPxRLGpUnjy6EEfIaJL4DElqQBRjesYkfQbrYAQaFA6u/Q/HaWawR+Fl8ggD9XkuXLVC4c9LxjagZ6A+wvENkOM+kQpkd+WiiEdDta/dqarH/Z4v9fkfveRn0jcblSEhCk31scx3aDWL4gL6lA8ettHTyIyaAIHeEPQWsiFgumbrnAu2w0YiAOwjg4qILus22rr3HlhSRkqlY4dKhEWQNk84LdI9GnrGmoRxYMdtx0C+iMEzAJPR5mVPt3dmehil4unljcM6nMmXCqZli6nYgEHmfBvhTUZlwgnGxt5iBjK65s8WnCoSgjsZDrStg8v1fFCYaeEBlH2qjWb3ZNRwxE6e2w5YCeXaxjhlKICyktHUqaFV53e5DA4Vhp2WLQ+SOCj7gH1T12yFEyCN2eIt+sfL/mT/kM5+OQtfE3NhiUq2ifupmo1S+VIXFD3M2kkHcbkGarQtvqSPNIR2CKihdEtp2cIxR2N6SSeSZma/eUAP3ds1zY161th4CMK1YGQ3Ojo1mUwtMQ1/GaIEEN0jp8PAeARO5wdfEwPYEyycYUJspyc6SAYNhwqM9pksdEptGIszFm6qwkECJCzDkmF0nB6SxymArDmZRCkKijPl8m0WmdlRr3bxBKDB8HKbJbEfgrAcBNImeYijI9aO0DzO7umSi2GltOxcnveSc18rJspsrEGHqPJlDQPhbzTjIYKAo0TRLICxIgzoMTIMvlU9JybJ8I08lxrChPd4d/hdOWd4wPxpWtwrefzxVP+QKuJIwTHqdpsAfNZ7yZ7ag4FRjAtEepPMzxsWQIxZAP72ZQAjGr4XbYZaD94jpEIhEwMUDl884nZosGX2uLPDZysDDsSIue0KbaxmVuy0pYf4nHRkdnACSeh7z2ZfDVo2XNao1HnITc+wEa23BUXCN+vkItJrfceo0+g2twMtRoPm0YWDtun8D6UDFHCa1GTUEICOeXtbAKRz+DnSzzS50CdSdl7wrJmJ5wl6ubmcB7+XCmqy2byyZv27WrBNvwug8yH8HXkAEs8k9xFizhADWuXEbA15cZpXrqFfQGx1RPiKy00slB5L79d++fnf/Rb15++//vz2/sEgl3SxHrqcW7iatSKgUKNQqTlNyEl2riaIdC5hU/abHRVzRGo6QAYFRiwfJpZQqDODilasbImPx4Y6mnvjejAiMhcSSOViRsb44ZFrEVIqm5CF8aIUAjs2mFVjOgBPRkNLjQz15ByYvum5NYJdXVQSRS0ByjZGnnCGnRito/N3ZSa4BM+lrRiw0gampM48UtcPncoqhl3F0zZXuZ1PD9dAtDQR72OiETI89dP4UCtcmPhmuRr1PWvrVIkmHS2FKsepNEMrUqoeATVlb5X3Q7alEgSkGUhEMTUwwn6Ij0xsrv6QUvO6sFKBrKodNyhLWI/9W9XH/d27tb58fv/hq6en9f7dpZcUugK6lE+Me8YaSiOIImsHmryhQYRCiWTowgMs8fHYD6A/3MEHsaLq0+318+talK7n60pIve8UHox/+O3v/vXf/uxf/qdf/c0Hvup97oqlvQvXWtuD5ptpIIqmWvaGgxq2w54gAnc9Cox2tKuP5VDXCZjmYX9NTEkFxBhXkqw8pkezuhRPieDOMA8QWeCCMVpFxMS5QMYFdPa85i4YubU/U9vFKLVq7N9ygs2ZWX8gfUPCU8nh3J0KRCMwqAQic0uUVqJqq2qjuD/y8b4/+9HnL19cH79B4hoaN5oky+oUx7CzJ38ciEZhWBD7iYJozOqP0VFMPeM+P7jVKbskZlxiGNn1yFoAhOzy6JacV4cTDiHQ3ZrHPklSukboZphjN9FvrY2v4SSySoMm+ml4gKsm1TtTvW2shitsD6o3OzNHs4tOHJGTv65BcIVfy3AfkL38x6RBBlQBhxidcXKR6BMtQEtr5JDrgZ+neXTxPKWdr1MqyjXsTA6BMuZ+T993Bxn3XdWlCMuFjNs1ER0g5SgKL7M4ao4BGw/zc24rBM48M6MK9u2GCVJiQgcgINEFH2WixU7h5mNSjyZGXR0gxKGOCWs8pJqLGITzICcjp4EpOzSWbDMhw7la8KIjGzIA3sBqNfcE/mnIDniykCyUoGkMv/hYPsjBOL0jT7lkMaUOXWFnJjEMh4WEIEfmS+98ORHRWLUbkvlybpNsQgKpPbiV1TaagpESO5TBFjNVwLLZWWQG3izZdhDBUhoKO45exrfltNAnCA9k0nc9KZdJJCbhDAIX2s7v+VZehu11OTYCeh0a+y50EnLu6pymWd5uQjU6FtXB6fIppcgcR1QQMF3ltPWYPDQO0N6J2E0QYy0hy3ocaCBW6Sjl7PibpjNgZj9w5BczStg0+kw1T/eBkEaqQq8j7whrcWwG7um0TwqNxIiFIaBQhkQGuPH7HQHgKEzgrTChA5YV2XJlSY2JzR6QokK59/DKLTaLiIyoqkjFQw3ukRUzwGquoK8k12ap/zyUbRTHTjk6RIjknFGE2XLIAgOCw8lNgxIgu0vO/6E73kFeHM3E8uXoE+2wMxTP/InezYhmRVK7KzxernxftUmNARJi1G6T0SByATVkjnwq+XSB12lI9ZYEZ2srQyox3cucKyemghsdiPHnw4LYZYIT4mHNzohAraH3dQcMSDGTm2KgHgN2Cg54NDjWqBlNAllGNMAOTtvgXHCdk2y0MpC0gQRoKrS6EVjqTaqouiJK73T7zT/85ne/+fj0g+fbS+UNsaTtaFd0unXvanclUeGo0z6bxUBeINrbQR21H4HIMCveu8HuyHCAg+MC09wuTq/FnvMhp1+ic+wdAbU0oNAjOqQlRaQP9nMeQAyt61IVq6TAQs8gY6xdNfrBtoZThQ4Lvhzi3IQiOwtiUeoZX3FFCdhYkeKjiGsMudHaIZYA7YglZEpKyYNuAO4Ea1w7m0jpEQC4owfqNWgsBnuT0QMsCG84jm/MVkR3iNgeDRemJUdTOiBZdVOMAZZHu8tqUaMuZELYiFzgQ810shbbGbOQHMCO9iXhUhViNnpFIHJJHZ+2Nh+vWre7nq5YAdQqPXJR4q5+LXy44w/89LPf39cvI59XLK6rn263l7Xe58u755fP3n/2dN3eX7yJQT323mA/cLse940Pr4+Pr49X1WPj/trfvX76rj69vu4Pr/ddENDqKyNjvb/xCrx///75WnnF3vrdd49f/vI3v/zN7z6ti+grcpOP3YHgBhAMaa0QKhSKyuodzSqgCo3qSbxyjz1oAekoBXS8zfEa2FUtpqnA6I4tBbGHSuhgSojI9swJV7w25BtJHYVKoIHIjlZFqIpIJ0SFNyHgWdV5UgxPVqYNoMJNegQSmiKCTdtPAtxOoO50RCh0Zpn49lUo7WbADom9YpHc9Un3SF39yE/98fYnuf60Pv309fP+YYL7+oS7uj29iyfW3ARv9dCnpCW6yz5k/3+bxjB2wtDobzO6GMuq8EK8ucfECURxiwHnMvQMPWqpQ2n9x5FQo2y2nluXdjbCYq0wlZ/QdjBwjxzw7eM6JmAUWINZT3oWEIgBORqgZ26ftKU5pd8gf6Pgvm/87ixLmm6fUyl7YhKBmU/Y+n5yJN4U+yLG76mG8xYdumiXmLkGCUHrA6ZDjTlQHMng4oPTeM3EI3DSSjgWXh138DhBffHHKIdd7sdJ9KBCynHNAQeUw2Qe1WG+NeUgCaqmVoSh5pgAdW4pY3L3OKyraQxK2OQq6WIpQiPw0eBJZCuHL+43mE0ekOp8jlQ12DHQJjydDbb+w4YPRTOtzwuRNWi4t3N7BUDuooJRsFesh3+x6srCDSNWMZmrRgOLTbrpFhFjv0LCYyNLjBkarmFxpLNzkniM2/btuPdyUDcyUmJ5EHwMAukOtbbAIHJbxghQtmVJsB0cNL3iwivlSgwAbMQcuNycQM9yOTF07r0GbgvI6i9j1Bw+J/wqbOwvm5THtu0/3QrGY/wYUss0mBeqFbR2Aw20i4RVaN5DLgSDrW1cVqWRvQFi2xFMdKHTWy+ILkRwIBBXo5ICJFJ82CUwfJQSAxSbwKENBAcd8mXrPrCm3AeBRfPbLlRVjFDH9CEmDXXyH3tYjlPw9cCMJmVmMNBwF/223gTAp1KPvXbiz+gO3smtudh3Ljs4CQSW0wT893l69ohxGGNEilLTgXFmvXJwG1/G0+cSsNCkYC+8acCebtNNEkPKIfLQUGZ0e7bssEAdAJKqIEtcp9+Y1RxktQAGw1O8vBnbq+SA+wnKukZ7MckuKSgm+mTDOTSK8FVoSkfMHBppPNlW6Dn6OQbQHpLsjfpIyx0NUgw0MkqlmaWiCWjD2xgSY6yaA9H9Fh07IYjpA3/Cr89hPTATRu6YM5XGDhy3hx6NKKvMVPJkW7xFWUsPrYh9rY+/f/zq73/zJ3/8xfPzu7w90I9FlqXHSmAbBoHCiUzj6SpXNUzT69TkdaqYTlqle8OcrlzKRCCt63SH4VDcMdMhKHT1Snp8USTYRDY6euJhq9W9E92BHYzFLGYkgFZJ0ka3I9HoiVrNrQ1F+SyLQrvftjlKFZhxFR3Cps8p2KD22IwQ2LoPq0MpuOuRxAZZGyt3E9UO65qvHdGt6k0sRoekWlQpBvM7wuk6oardXRELI0HSKKHFwrbAQ4lkt2zqnXTBdp8nT4elVEDTkt3RnyDC5GthB5HIaM9h254oBISnKCtaMAVsJYxqxbhPAbmV25cWoE1VbajvukLwnGOMYNkzKeUr8Wq83uuj6v54PH5faKIuXSvy3XW9f75u61qRcS1gPT7dP+xvXj88vv3w+Pj6ehdK7MK2IxACWORKJsVI6Or+QCK4b3lzZBBwe3Tw6R2L6lfUIwwIiSx7qCA6Gl2N8pnZm4XCBMluk7Hcwo0s+CB+m/LSwyz7WGsE1Uk9WiH1IlvyGLeG6GpoYqF9DhqOaFP6fdjsYLXSlSSZxstibhihyO/jajHMQYQ8priFMp1LwicdM7DbU00w7LAcnqhsVmiNOg2QWEwEcqM61zjed+RH8dGMve71+tm7z374J0+/wSc+QLL4kfnuMt0AjruljTJmO6Dh0KdvlswRhWf3liLohIHAGjemTIQgPAWDSAyGGA1fVhr+w3eOYawesGtaozi/jeZmsRGhYsaAenNim+VOcB/ym8QoZDknre/fwTymiFMme083N+WIATR35S7summbtqzo0MjDZUJjsjhGh0AcVGj+wNxNtg6KPtj9eNpVtmdLHhevQRWBE5xzTmxfZoaZx/SYGHABR1rBKS/8ifyyGgwPVrVIsilQ7JOZ4MrEz6gzzvMaaUfjfA8/NSeqvf26Kb6aTcbSIeFh16bg7JAROk2d2E2uApb/fqvZ5KEuOeNOG0zIxqx5bT2KOv8bThogg011DRcMOo/P9YQCJaoGcRt00eZo1/LHqZNGblw8xggn4MKtgdQkOM1eG/SxT6Kqg6J3t3cD3tTNbjFdRoPAjqAq3mpF95hGgmbq1ph74fzCyZ8Sqmee09GEuFXrRStyhNFBaYqQVoPJEWpNjo979zNK7JT2goeAuQAh/zM7hJtmK3Fpaz+ahBFWFz0F81oDEI+0wvU/m53gEOFBAsfg6lgiCJ2GX/wkXG34YrP6rm1D5rSZUjGMqg7mD2a4N+h0UAtoPr3xIOBz39j8ULHzETXI5VCCOAKVoTRmOxBUTZ9qJcr4CrzfMfiSi8aR5M2iG93jaSinLPVg9KEyGJM5I8YgBr5pQmy1eTUfUUOFRXRpOcIyoqkLSTrOCsEGl+U5MaWvdfES5jUBTv9J4ywWEQlyIAmG0TK3OGeypT+HsJiIY78yy6YQ0G4lehiEcW+5J8KcvciwQpjzYehgbjN8PhPHJ2VY4OwdodlYYM0rGeB+JIEyHIOThzS30DR4xUlzyjRc6qx2xgC8BvAPd5Nv9Txy7rbRe0FwbzQAoK8wBY6maRgmK8/iLAsR/ueLA2VhyFYI8FRPoj0JsMPjEiVUaqYfRGhU6/6mEclu8roe3+qXP/nDf/V//NPb++u67bh1L2BHl7la4NAAZKqhIvIIS22AaCP1QwBbR3LpTUCJwRMEdGW4mjG9puDB4aCGEsztyLbQ3kh2VDjzf3cymr23Niojq2tlkpvZsZC70Wj7INHdlmBnrbL+yMLJQEZJKmQBGQhu40ySyMb21QqrHbNDDFKqWwfiDkR3Agq0Ufm71wN7t38EGdq9d4NLEXhURdpnFdEh7MDyqZdXo5iSmoxHdbj9jRRG/JFaXjd7OnNS6N1EF5OAsIupbrLCYvhGhiMsgJB2KJVw6iDi3hWMlHhREisqOp0QQGNbHC8LgYLYFenhziJ39S1iR5EOG240NxDIJEJXEEFkEaHCrgecdRpPWLF33z9tdO9d8fhYEVHVjA1rre4lRiwyUNkRjyqPPIpO5EoSUjXGyhrgeuqW+O5TUKXnROJ6iFV1//RAhxRCL4VqoxcXazaCw59K20IYdQV9rnZskehIh6GwfLch0V3qJEoKX5miGo2NJrs9zAjlUX2wAceKCcFbSDKY77plAjUC5nTOwTMCWqra0FIpbK4TQKRQkl0iJXVU2HQDdJ9bQFVvEQWNXgKwdIYqnloD1SOHARN8sJ8UA0EQqNf749PHuN5d372+vnz1+OGffv43t9/rw7WopJwxfXwlSJ2Bu449oZnNgdUxQkxKDmw3MzpS8JoH6NPeMOs4JiaIR65oVcc57RK927FoBpdLXP67LSwXTu772gGFc2gLEWxCOdCQpjyzR63hQ+lMWiqnDxkIAkhUwptCFm9ihJtzaxqgnK48JhHHmgGfKBTdnlu30o11wiHOS3E5Hme8gOtS3yjqJjQxeISBw0WUL06bRFw10D/e97J4lI+Dxg86hAB6fASW00AZbI4m3t8vaP2gZliSAQS1rbNh/511Ax1UTpM27qlp3Gz1a2CmWBPqTSZHOOpPJtmW4V9BtHqNP8KjfboT3rEM0ZPETlR5dYHZLApQ2JnvhTVBOoJIj9O1tEcCWSDUznx31YOximrMKZjSxqbmAHumqmBKWEPX87r9g4tpDUiMOEBHFm8+SgSbeTKBJVFTGDokJ+1vbFv9lJa61plQ00wUGAHWfP4KE0MHIg4nhtC0RBqJpbAMGAiu8+Cv2ggYJ50UGGvoYnyESdSoVyb+ExON5B0w0kVLGKdL7MYZEoKRyBwBTngwrb8bFECFjelBiMVeVpdYSCfmZW2M42FY0/LOa8B0/VadK/GWozh01zATfZToLVA58u9h4aaFJIBzGY7LAVONQseL7757NEKanPfD3wieIeIp2DJLMAo3TZ4mDp9gYm3AC9dU25kKGLn/pAx3kBVnfvLpbiaO0q08bBYjwULHWEWjgew8XKrLNGUzouF5bSvUOAg5PWNSAHliWEQPYooKZo3bx5veR1zD08Zc6VocGKcJId8e8gjlOKV+L2kingm5ZD0MsteLBJlSw5G7Hg8J10j5YGIKEJsTgjUtg0pzP71ReLT4cBqtGDuRenhpGUsy12SpnV+0xody6AbHD1MpDzX0lz3DDI+JyhcdmM2G3GXG4XMYyPEcYKAvTHM4u8pl/DQOFgMqGd2mJHDimmMDMT5rBoIaNVl7VJaYDAhPYjzy13/3h/r2evfydL17LQJriUIUmSzLqZqE05ncNXHIizdgBDTwDfAOhHZ0PMBrBmSGEru01BtkMk2ngdRuRNpcMbuJkb4eIhLOpoiQ327tVnPmNKkfEjsX9dAjgEa6afXz30vj5E0VwVyC2g6XVSx7lMt68xkVzVCp0biTGYGuNk+lR5BledZuZADQKO+reiZCPsAjlfX9ZovEfdNK8uCmKD7AFbunwmwmdyMd+qsCNjYiYqfTRDOg5ejGKnWgqxIoT8yx1nJg+l1wHIaQyM7uTuaWUpuRkY+oYJe4dc9eNc7b8e+j6sLCkmqiVCFisXbxhujdu6RIHovnrnA0onq3VlKoa2U3Whu5cNfWI5WorMaK4O2lurnEZ65mbdPIvhleQEUimg9WEysuCeoGS2hGnmIGEqrJC4oYGzb7Y5F6qPiwNDjRd2iFSqzcwqoCsEEnzVVRgYJ6C2J11Ru450ib1FHvRcGz6bPZKaGThhhnF1s/Dai5cuIm4K7Lk316iNsY1Zv7OeGg4r5JBtG1PS6Xw6Ro3S62d35ZItgYYgvsQiUmCcc7npNzizfujwZLkgmpBjQeorHR3VQG1dXK7FB38f7Q3qXHUz9eeX34+k/fP3993X+3M4igVoVn4DBR24BDy7luCA4+NZmMPTXQm7zM1aMDDTKm8se4JSjP53Y5OTKHOdwVHkAQpRmmwIF2Em1IcYIm/JcH4nY7PzCb4cZzwfYBF4lR1JhND+128jg5FYBcXhQjbNnhyGZaftFTC0aMh9T0tKuuw01Mialur4c5TtP2bp17nDi2uxGkHdA4TpTd1OYMYVsiMskEvolBNiveBjTJP1YwqTnz69V1lDAcGG+6BJd2zruzcF5AtCojapguw/6GL3ZoebpNTSkDZfhAHAuK73PfDS7brCQwjksSqG560YKnQnV4GQUs6szXYC/hfCEjKZqcOefgTzSgMT3rDExwmA4jnIZmHsHuXS+Pico5W9Tdgr8mI0Z44yp3BFKGXmv8EO46/LilFfQVY72JC5UA6nxrmZxxxak6lWaTMJ6ACVnBxPvG4WlISt495n/6jbpyH3HSW4+I3K/FARReW/6pTVrFHFC/Te4DhBQZ7WNCoYm/nwKp7JUz2D/TDXrUES0T1rCo0iagIxSD7HV5c2linpg/Zwg99MOS3XeMFnL6P43Dxq06zmdqTS6HH0+51TVmZABA+D65g3Ynzo48IqIMnAkW7ql96FAW98n1oiaCyFen3b+nPMvCMKLBmGAkH05BiAfaZqECFt/NXg6c3yIx4q2SxiDGHCx+aCge3xVtHY0YH5PdVpBbOwWjWJmIRzYfmqbCYLPbN5zGVkb8cOIwXdWDnl/DmCfqYtvYBHmo0EPZtSJxmk5BEwTxFjQ0FKKjCKLVDYYDogQwzXS7jZ3Ty/rHGCmkEQ5MM1GciwX/f6b+rFmyNDkSxFTNjkdmFoDCVkCjF8xw2OxpmRH+/zf+BIpQ+EaR4cNgSOkR4TTQhcyIuNf9mCkfVD+PgmApZEbc637Ot5jpZjm87VKgHUZKU+M5G4gfY+qopXA+Y3oZWbCBmPup5FTQ0u1MT+c5JOE+KectDTsNVlApCv7Qfgc1gb2nHEzbZ26cxQsXZysctXc0RUrp7fCRRaV/hQ+VthzZ5fpWlaBEUHpTjXbwxYXBrS+F50+//m/fv/3v87s/f+Dn1/Xz3v/aaM1CL4Py6qJm9zJeb1THaQGIQIk6DEwQH0e5Uce2tjG/3Up0PC5cng5AYXV4GczxQGSshHufGQ9ZHJBsaTmtZEZzxhp3WC1nh//I4oau5ZbTqHBP+M/VDnBx7ca36QILyXp7csDCDY8m87y7vaELFxejeTYa2nuML2DEbjatHJTM73a/pkpA76wzIQwjArzLuGJVUzPLiwLQXbsLrAbO6NgS77itBa5Br3HJcQ/BG7pAVM0NXbt1Cbs2SEtVdgUXe+cmL35S1F2AQaDiYDNYoK9eDYdEEEXjGqjaW9uQlvfT6XZGfgrzIoAZuO2gBn3pifI6wAtD1RrM9zXtY9ge8cHwURxqprgv6FotoUu6jR8/oBf5MEqfQqSEhjgUGtiZWTnUl6udxclp8QElNDmQp1SvRMzKmfqzoNoLRPIQqttqmrKmCh4fhQVY0yn1rK4JLB/sn6jG0SjWLCIh0r3kZZuQab/1SRmjOnbRRJF8a1F9ucK1LjsmWxOVGkmF3dIlz75ylAcaZg/E1eAi5x0DcyR8vqpJTeTpcA8v1mqmmDRuD6vT87n350j9vF+/+/s/+8N/99f/9E8fP/WX13090owc2tv3/e6iDlxmCNT3hQNgLMvxRzGOEc61y/ICz4bVVZV2502lHxGxpQo5sSc3Nix05KZDp+OGfPj5JtBMOfUKLiDOxeQ1Ut17B3xS6NZymUbu7nYxR3ihsUAMiogmesHL1IlDhJCrNdf16XAEmVT2gcFd8cKu04miVYiSQohW3HhaDcQLvDfMNuroeXlo/XQi8AB4lfpHnKRSZMjDQ5wh6QrUUBygcaTkifxg9oHbAxBWndgta+jLAG2hT9mrSNdTFTnaM/xWpbG5wa7WhNq+iuPoUBYDl7URimZjR+Uae8UrM4ARaoSqsB6AlmRZYINO2qytnuH4cQJMNCYbZtVo0mlkhLAa+cDNso4yysbPjZjINeSBii30iYmUprcLBY7LhkJIqFx8fsDYwiWNexB3V7mujWYlCAKh/lPcu8Gogk4JYHYGe4wsyvAnNQq8I2culOSxbKIuWoilLAGDhgc92HQwfgSVh5rcyXJ+oYFxemzG21ws13ng5RHrdRgxZYkaf/bKr6pb4zrggNqi6Z6QnXIJS5DlyaioSu9pqlUC3/Mx7A92U8kKeeHdEog9+Zfw7vNQIRxcGkJIIjeTGxNo9EWFnCcmZxEyLAvL5XwmBoCIBGGRHsciKbdG/oJmbI9wZoHCgL7pvC3X9WOOWcsTIHALGPnedYXOSVC1ZpFAiVWUxiFfFuomh7fyO6yAsO/GXgbHjp1TQ/S4Lzj20R2DRWdFLE/MmaCNb9aZSdSx8htsFzxOzAxYEeuUhRtVNWAM0JXIrSQOKU260pXbJE0HeKk1k9oXEG90zGcu9f1e/AFbGCsDPQrY0d5YLLrheay+WlgGT91vzKkifG2C3B/ZziZ9F93WVQ/JpPFmPfWRG4pM8eNjsUVUTnfkcA5TWdGri6B1VNbv+JAPRXqYIrcGXqzZwhE14pDsZbYNDb4AXeB81qtYz/8DX//L6/qffn78wrbl8Ho0vu3KQWKittN/Aqob076AD6XhfeMWy8K/0Y5oHs1HHnFFdk2x+NJdey3J3lWycJsLNDHhpvOxJe5Ef+ez15TZLK8H6azghfQUalETgrel2UVrQrhY8kmt9AW8ORJLrFnsrFpGQYfauh0XJeC+eEnCln+VZoXbRQjvXS6rrv2widyOub1XtfeoPcQYpcKO4auOLI0Xy7PjvRPKuV1Al+1dWhavpXf/omrhJEvqHkpm1huXEkQH6jVwy4L7ngZvFTV3T4HVA9oQXKiGhoWbNlwE+2I5dSEJZMtXLVekL6k0lqWFarqNYJojbY1Q9dLCMxkGF3dHvDg29uu6d0uOC5/7RiR4NxcDsXdEstHm5g37APsA5ubVFpL28oau0uJlBFazYK8k1H1P5j7dI7aJmaiHJE7vUcqMdQ9SceYFQcoouXe+/kSH4Ui5XVKLGF8sK0jDv4BnR7gNogHaFQu74JnZcO5qx3uQHZVB06LJQwW8z+sjLl9YpGq/3GnAMJG4ahetEsZRJpdDoO5RjvBTCDnrYJ0exOLMlhP9L2F7sOzlOg+lsbMft173/frEx7fffve7v/37//T7f/p//Nf5UF993xfhwz0YLW55em1uRFdcdtsXAZOWIjFWN5d6iwRY+yZKy10KcHteRxbZuZIJ7ctAuQtKyxVTpro8TYfgSBxP7FmojnWPzSNtqcCohAcrEI6cN9IoxZR/PpoA++clcJu4UzIYO4+TDCRYes+F9XwUo9hgY6aaQisxNifxKFjogrO06/Gt5NfRtNsJX+LRXv3Q6aSopSc0p3zzrVY0gCJtZgXZP+zIeEPkNsL68E0qRvRMpHhjO1V9p78zbfCDn8k3gIVKViLEjaYjtomDtuEMNLq4XUPGeEexw0IxQ3LDM0On1ofCJnz/eCDSexzwl0yH5Cv7lCbZX07hPG4aT2u0fqk8esAXMKCxsIOL5RQuuwmUxi8Z5ZJhyiCSJkW98SbuCivuNr8N6aYs/3H6y+jAdVCUvRX0rA23uVVKgIDjfIAoPg4M6xbNsjgXDLuJzWcd1UIbv+O1h+almBrdXKHEeF29CCJOY7l7SOO1Yb9W9DBYHKQWroRvTln/by6GAdMNI94CiVvO3K3dtbRjQDiLp/2sQN8Ivupdm9tyVt7AC0RwTClcy6piv3ZGGZWBrltiEhiwQF3gaiplspbbAde9tBJjmV8fVFh8Lyev7BRvG9uFiaATiIM2eeOkSOUcdjBk2ShhnVXQGs8e4qGFvdpWLh0ZdZ+/LwSzt4VkKrGwU2xofbYp3DNBPuC/6rQfj2nImfKwS/w09Y4n8tdcoWvTIDr/y+M8TG3I4xYXh6FKP/nmPZGWyVqZOj/TnEqpkPwz43TreeQLUHOsrGEXGsLurei7ZqcKPhHaRlcGFkFTgy0mastxQNKED4achSKKpqR5vAlvWsw3O6sAXo4DFEX0CVngOUEo3+Yqj2x5p8OCP8A8WGfkHsAaah/T8S4IY2O7PKvt/Guf326CvPXcudgn6PPV1cNRDC1RY5mreemuJrS8a76w6+aran/mz6//9vr2X7//bX/58tPiJ/HRGgC3CqXLghJsdE8E79oK/3w4Nzp+ntxVUa9d4rrcPEDBpzRLRsi+AHY4GSgh1UaCQ21dXN0bsZDHj7gR9cgZerbGLsF9qahF774esLhxKQzHMb3Y2qqVCqqm7htXczCiJ7OPpOJs+ybmXVS3MGFBzYZClld4LrhEAyKDGWh5D/cGCN6a1z0YeILUDISpWt4PD8dzOmRnzGDXiA9iu6ESurq4/dl9mZBCoZ3SyAsNVKImDRuPB5O36vbND+gq5BHPekyRmZOd2uLFBoh+1DSuC1vef+J19+PL3qtLZOuq1uzeUE3z4pZ41/oiuh1vbUsyqiFHzU7ttFjUc1TlaX3Uxecsbd55oXvE12sAj33G7CzaVcfgKo5jMoQCS40RpG02LGDxGatdaPhoaW+/D2h5a3VzsWo6HGcpvMqBB1KadsrTmly7170jXasZidrkLi9Q8UfNbpcXQbu0oLElnxO+YcXahUdXuOckdW+xltsqB0TJ5iHTiAt29Tq97HBpjjPUKRokKn/FfaP5CZTmXsjOHEmYgU+eMup+a66qNTJdKS0kg992T2pKdNG4yyHQ6FFhX2h6+Ojree/rCz8xH6g/2z/8n/7sd3+33/7p+3X/OflpBYsbWeiaWuzazhThdeRHBKmdxQhFy05BKfiWp06GiHWRHR91i338DwHIld6QQYscP74HMEAhRk8LFP0tXX/A2xAoROfgsRPuOMO9uP0rR09HnexYGottfMjSiF203qmaR04KpZz4GgxswM6Y2na01xgE9QrywA0ELMeRtByBnxuZGdeSrl1CRjOzRyBaaWCTpwnvWkZvWoacPZE2NYuvi1IsKyaed8sFqBl7us8qWVplVYVNxNuwAQbk8PALKfCkYo9kOXDEWP5aDh4+fMg7rIcOq+IBBVZg90GT8e4xHT0/vBRVjC9ahxe7WjR6EUU6zqs1TGV+xoXSgfC9tYiamlrz88YORTood53y5xVVJXjATaA1A2+GmKHkrrro8wUOrQvAAJvyfk9lJ99RPGITo12QPXXNhMvTy8uNRMb08sgWiq5bgBMsemAEIJYkuRsiYFWa+nLN722TVa1sMwKe91aMcN6Emq4D3xctMayoPDzHwo8dB9TkePIbgz4g5yVgd4ZZlxx9MOlEYIqcMZVZlV4Qgp1BbKOfYTwVvY7/bjKKDAKU1o0/C0aZkj5mRsefyzaMTavuRUqqWeOpOP76RWg7T8nQjM3WLP3IFrEt492IZXUc/qGglPteTV6Xlx11e/IObOzO8vXKhZoct0XvgEF7guQPhHbDkp6xUdursQauq2ajMzNTyAK1ntRI9tVKuk1GkFmKEe97H90WTVZbaYjQIlZeV9WcdAu4djpzK3jV3jnjWJa0AkWU570kDEbvRSsvSykNoA/D8kYEu3bHgKvRVInEZAlXAWpb/1mDCYxWzp+GaH2qqI5Kj6FTo6Y3RsFt85jGenxqKfCGxzxZPaV17qKnIfOIpLw+ckrwrSo0DkC1QT+6rzrRETnJICy2T6I1qzLvyVvTTAmDHWH7DFQvCGjgJnw5NUon70W7D3Lu3Wt6L/WX5vPJ3/7l69/UX9TPV/3UbALbeFx2th0LhG9fHQb7XpUnozr1oFlj2Mlt69pgmdNuBkktFr3+FrbC79qiY93uLkncFHlhd2K3M9ygapa2uHOEjP5OJKZQS+G5VssHY4mMza9s79d0tV5YCTMscU5WxdbuSsK9O7gXGmnXAkCoyH3GUkq6PRAwmOeiSzfw0uzqVg9H4hcW6rV5IezrvtW8VqPm7lSnOZGGj33BUtKXLeOoZ1gDoot1FXjjonVPA1k67eeuKmmajWaN0LV8Jpprti5uLZe8eMPZcJoH+otuYH9C1d1Xcbn3Tc8vrHVJ+OjS+rKjiTpVrXZkpHjMud4Et4ZzbS3ARTV1464i5+SHUMJV3PEmvnaLqtuczqN0Ux6oiRr07lTrteu8YLFGZklGN6puLEyS32gAlJNQPfKAErj7YnNu6pK2tl7C0aLgVoIYuJitBWdfY2NYvOo89zi9Lk955dEOmINbGOgrkwxw9B9e5sT2hMMp2J/OBBxBGqpW01JdXDFJrL46TWIj81DX0JRxoIjcd7jMQtiTOus2tVkjnUEYYgUJ9ZSLuBmd1rfntm4BvMFrXUtz+Sw8Fit+e96/PB+/vPB8ff7V3//FX//3P3/9/3z7sj9/8lPMLQC1yQ6PYtHa1yZjEgZ96b4Ob4cqUtXpSMGVukFIySfEgI13pYDMfoXEtU0ORAUWKS5VC1hHntkphbK0KkCpYFpHbE+0P4cvCyeCRbVyoS2Qaolw8AzMycHKBESiU4DUkzkSZ2CDhcopEQxkWK7yJ3c7y0BdIFwLg8zu6ChncjNtkLa8xJ1FF/PYyl65Qh7othI2GGmCG2JWe6QTzwAoLOJPNDNgx3AK2tABGNOnJUsz9sZVKVjp0qrcRHC76nZFpbQOdZSiSb00xeJCUwBWU8rMIKsjlhwt6dC8hik39ik5gDKYb4jYsiaP4RCt/Vgdybu1LFlWJFDvnG1xV3WVLZa+Lzn+kVWcF05/mgzuaHJg9NKTQQNPW7EhRyZKQs4p/83wgVF8py6whrT/hLZyU7LBBC0CV1N31pVDdcwwrf28A09o8NuzhtKNi80WqKktqwQ2QihxLpKTAufg+S4rE96lspzXbeopsnP0rpcQTRkshh56n8QvrKdorQLEp0e2psiFnvt6SnauCSm2WeuxOhyuwIKaVUmsPccgqmZFSA4CXYDDCXoOre7T1TuskloqjfhhFE5ASHlaqpELozN7YP409co6eCcXBOg/jZPFhKyce+kaNA5nTJ6jm8XsV/e5tdtvLgAxja27gz0Mll+ogWvI1a49Vo5GiFzHB3szDWwV4qcCMCw0ygmAEICHk+UaC6vtJNK2PlylM5Gg/YJdrJbq0Bvmqd50l0v2hpWtEuItBmBzAurwKMGs1AKkrDFYUWsIwF5/SqEZeIz43LFQwQdCweRbuIwNULZvQn0LviitaQTLnAQgGO5AOrkxR2v3kIVfgKcmRbZsHnUVjYF2mox8yiCdgzqZJvo9s9j/JGl8/hqSny91pHY6qa9baeOts2GZPIJB7vXgToAdDX5kuIaSUFtbaCDYXntowt3AvfcX/E6quV4ogfX67F//+eP6+H3/PD896rPrUfr6uGvxS/UHnseD0WG3bXMq3kTnZfiN+pjv9WglIcryJRu1uolLQkkv8kLmitR6wYDrItZACW+BvCW0KSm56+A1oZkcIUFMjocXUEtULUwNL24PVLhJz8yt1ohjDgjjwE31zmIHC70aO3Mvsdj2mr4FzfagWLN4LaEpYhdaDm6oFSMPKD27sapnDZwIQAL7QpFPYy0jsGfE3OTUy60gti/jtwALnBEWL6g44tAsRi3w8K1jPgmAuu+r6nu/vnzWEKzqnntYs1PaYuN+Dq7HSk3NPauqqt2bjf5SRVxf9sGLquigqFep65ZHQCybBdyaLmIW3b0Vl4rxlGWtJ9o1S7xWdzfEi48k2O7oWt5UkxfvWcgFzQttqSZmmtjE9ZgZN4hpAXJVt8+bpusOQDyuM4glvQ7CIMk+loYvF8900SqVwfIlLjTpUZdL3YNL5fhJ7YFli277saiUo77NrHozsEOs/RtdNdihkuMqE5SBOcgJgjZA31V9j0UEBvScmSEcnFFq1jJq77KLQnPGJEqyz2gaTh2995aYoGbxjMCpeP+wHnqFoqq2kITUZQPS9YJaW6iXri+XXvj4fHF/6dfj+/PrL3/z53/3H//6f/+/f+s/8ideL7xu35QjLcta7eP5vI2ah7w1QODEUELrz7URkZYlgAFdTBvbNVadgXbONTN4G3qnfLxDWyd9xsiuRRBJfRRO9ONlCuHh3KECRHkDW8HBYJTW3EDOxFqgPKglpR/Mr2oTg6JArok1ouWijDmN8PnOM6Im1WuoaIZv3mUTKrlIbmAaJxLeaQwpIzwZInxA0DRV0DcX5WvdV25c1wYuWyK0G4jo4i1AliLbKekqr9KM0TlB3k8Om3LJ0/nJiu0TFqIRWE1bBBypQjwDXoRW5Eu1HG6FEWhlNpSHNMhciJicGVv8LvrhltrCZoYbwFvp5r5ro33SqbwtWIgQOamFEjMOmZjxoDSBD/BtZdH6oyIvfiMhsoCoPTgGDTgJ3zLMIimHKbVHdfq3yRE7ZpUYlX3lP+u8pBQCPigsExIWt2EGq6BcKSdsRVh2Ks4hAbUHPZq0qCNYMlei+AwpgFd0zfYvEFI8NvUjM9AvzO1pyhevZlxWHnkhRANF8EjwlE9fqca8xXwEJgPNcuWFqXVMgVuF3ZA0w+i9qy5CI13sgORiR2AFIQIgIEmaPHIIKsLQrhOcZck0XTQTMGe7zMelv4Mle8kDjvcqYMaekzVVtKMLjf4v0HKTqyx0pJ+o4wux76q4g64+tainIZsDiHwLEfbR55ky0Z03t5uTntZscVEn9rZ4wOGjJxVYKvTc47bcAonK3TbLvjAOGzde4/nHSY6FexhaAOQLyOeb+VodhTaYF90xwEpYVLsntk2FoF2BVhK5ky8bck49k1YjDI3bprLze38kk7Hq2t31oMLdCGmjp4J1k2kLNi9syrxFewwoDML4Ygr1rIroNHqfHXU5ucftldt5xMhisZyx/IgXR0HyF6QTsl3Kvy3kBwlXEVMCzhIjz38AzIXBUqGDjexBg6z0QffbSO+vVmGOjE/JGZENgFt8FObFq4Vd4KX9+TGP3/75W72+XD/91PW6ql54VcHYYu5ybOS1KMImOrccyfzFe7Ya4LNvqLaIzkN2mDEeWnVxX7F5uyejdpLXtGTrpS0f4n0RsU4XCGJyoFZDNUK16KlDLfK122O6YLyAuiBeUwtiNIt9evZm7UovaG+9sG5kxuHPU9MKeLQYjKU2wxkRN111Bpp8kDDOgEAwQvpK6WYVxkPoCezsxRLQYyJ5pQx/A8GtV99cUCfho1R78WHeVjK5wJWM2piR9FEDonvrvqq4qK0FBDaaAw3Eq6hbwl7c+7p6Qegh8THPva6al17XXr31pVh8fOE+F+C22pSah0TUmpicsQ7BgIBqLuxr1Y8mPsneZ1VZnmIam7uOunLpu67VBlfPDV+CiynWqnS/RAgN56s2yKqUYiqWWtLa/NAGBCy5GAM3ZoDXh8n4UZl6vsfEvqSJo9TFm1lEA0UFE1IPO3AYvWOYZxtekrcwHsli+88DUnFogsw2eg6nVYOQ9ZLHXmF0hKjh6nd1vQ9S38q5K1duKE1gihxPBdPeE5p0A/EoIe0giN1Sr6tH61ciRNeqZU8hF05HITW1zZvj5SzUSwL1es3Hr3v/WV8fL/3h9Q//8S/+X3/Zr3+RftLeAuizz06J2oTOxp8DLFnibe2R1OStScSbJ4KVoFVXd4njctiVg+dfGP5OZQ/DYb6cXGsYR8TUecQ80nKJqCGIrVSXqMI4A4bATqrGVeB8P70uvPxDBZtQURCrY5fZWhQvAPox+QpUIMH31CGxDKWTIWVdCjp1JV/Nt55vboP9AEJPV9dEPUYRDY1ZyDySAlbr/V65MQpGpoCtiAVAgG1g0D4HOJgp+Uumt02n21AXiDSGB/HIlqWBypvE+KkLZDltvlRV2ilg/LgpOGjB1/h9tA0RQLgpd+dn/GhZtdYLm74FSbHkVBcAt1Sixz64brU3UrHNuHxkoOs6V2rCqyPiYMLvT+ENHR8JbIytwsYSfRagP7FpwDE7rPdUWNc3vuSRH54sJADEQF3k+GJ9B0JBkdvArRARZCsxgnkTjmYR6J0QijIQpul1umBtOElXBwU1YVbFt7FDgHgBtL47487tlwVC/pxFmP/87l38b7yF3X41TwB7dCk5Kd88V07Ykl+wNuPu9DbPJOjQyZKm0yo9edmAV2Bxd5vHvpF+T6FLTx/Ds63W8gesowEWhO7INVzOSw2k0cCBSbRJiLocFeurXeTOMpGWaY7BJOymEYt/bEktG8YWgiwIIpUhiM64DBvpmtLmZOZ1WccmxMz949XIqjdvlaNx87N3C4T1mQ5RA9ncq5LILu7NYTWnVOOHgxLYF2rM17tiJs1tRopmtMbFhj+2u/OwGTaM1BQ8WvmGiig6isR/saORclseE0uhHMMYJsV8mkung53senCmS6xEyJmvBdEq7q3CBIIwNpJmSvRkZ0+WxSKNh1ks7XGB5SJhMckeHW/R2RxMQ2S4x4pVharwOD2jEA7IdmeNqM7W90TIKcuVoZMILMHPuo4aDm4VDv11Lvg8G55DgY5xAOHc2vgxz8ZFgRO6SmZpHXV2DDRV5OO3P36dz/3yu+vxM7tr9AjDSrn22cUxtjj64W1OlDLQMztQmROCC4nJjGyhTKqS7vbtjHRTAlmEEw6vR1U1SHCwuXUmikxGVFkrA/EOsmU3t8Dukt61c4l73xT3yVsvCLq5W7UtvfbJWeneQoU3XmFGoyG477qKWki3Bqg272VaPny7X8pOxKIOHNuQhj6ITKuKHaBiTIQSLh/dT1XNAZP8ZxbDukeQCRaimhh08X6TsQnyJDHjEcelaqiODf0yyvLiXjZSmSS6VyUnuO12YZa3TcmqL7ou6IPV6CILN1GP6cLTwPijHpfkKdRYLJZmds3ToWtb+rl4N346TX01pWtnDL04yWZA7F5d90CKjKw5t9tjSN1Ofp9VeVSbymccsajWeCEkDOMOKPreOruprpYqjfxiVkbQ1ypAiRBvOOtfzhyw6yMXW9BE3zmURUIrFp18gi12VOWsiCa47zE0YbEAj4YXVGqjPOsJ2dhCzaLKT2HS8CgzoouiMLsAanAvIEF11QubODqLKZ2LUxro4e3guAdrP+3HPopL7iFNzcsm/AkqzOInSbdUr9XXz/tvPvD6vF+v3/7q3//lH/7dX/yXf/pau+TVxHI4O6AhGksr3/UdIGFLjvSo9REIPxoPO0CzOnmBqYa45h63Ekxi1Yfp9tTZin7SE1cU2+JEbGyxweGxKYN15arZWj6I1tNRnk2vAG+euhy1y7jSOk2l896WlsybFZ6ocJjJO37ehtVxLjZtBCIKGa4DfJh68Dt5S71Y1DCiEdvkrdKxWEbnF7p9dCQMAF8Z4ZWDEBIypf3+tckPzOK1wn9xmIGIoqw0YzIX4SlSjnEx/RJGKaU9N9CrUtj7zkChNIp+EWS53U/1WoV1aKiLsmVf4VMCcUKo0qKwqqsIJn2Tic4WdWfYlwK2nbtop9woJGczLV3+syV0OAlDGTjhpwgrQLMeBMGg9xQ6igfcji90oWrhaTLlMi9InY8RjCj188ZhGvjXNwAsmkBGlzLH9aYTy0vUMVtGCXXqHSrVb7rhpUsxJrjGrzfpaH4AF96RY7R+POBq7nMcSNbVD3kOmnj2cuQLieUkLGJZcxilMGww8k+8631XWTHUgMBW9d6DajrUQbKfyYNLjBpVYrLcA2mFMe1qK0nByyoCslo0vcirVKPxvpSUeqZUqKnTeyMyMfd4UjGVn9IbR8PxProAGTTaquKUK2Lj445EUkTZnqJX50xUhF2Z1JT2KvTSYGu5qqqQbfKpVN7pLB4cOmuA5K4Etvu+aONkdz/YR6Zo4QGo3WzPVSZ6tTRbvsnc+7qRS1vsT2z6NLB5ivhjM0dr3S6bQ3AXuNajrrc8FKAaoBf5amfFZta1VYfCEbWkYuai7FhzZ5p0plXlOnZ8GEyjG4f2yXv2st86x+/BiTxVvM+kvyBLgd8pZ+NR6aO95TxpjO/21s8ZxOBMgfPyT9evxJaZTiXkuSsZZeLvJYQhZRjCoAlkBcPyKoDgooI4v9dkUg5q3zcgLUjyAdk4xwJkFdYIl2IzL1Wrnl/vp+6fv/zC+q2xuO6eepYunBqBxnH1aNhIvZOFOKMus8NbeGBHJa7XhLe1LSuUFrZci9obhBLCKYer+V4rcWd3nFhICmwI5IDEtGc/CkIfgEiS7nu3MvX2tX6UGBCrwevlWoJ7U08NNPfuaIdMpLp2VOOZ3ICgschmocbGASZPLkYuhcOpEsmfRroWv/s926XsegdZFizCAckDctu6QyMmCz1RGZqDHi5q3KKLrN3pkp4CHzLxaMUBDzw0gxrO3J4EUcW65ULzRV1XqxZFPVSq1wq7usrUS82+XH2OXvq4rqub3ctHizefvKhX3cXt5lX1+AIWWSzduhoc1dZcLMzgInZ0AZ8WZHt4PdLpCnLIce+Oj3eJ1atZL+rYdHatftu90FtOaVWp7GGCI2x0bPtQmQoenwg3VMkfXm7S4dYeiqez2sbQNTF1BZM/yAc9ZdrRSab/FbWDTZXnfy3s/DFO7dMLtXo5h8G4kC8rZ64Mt4VbYjkgSipc44BKCGCrVHw75CAn2zbAmhXuU9DcB3Hwl07iHXM6LW1d98Ebit4zUjxNgS0beczG7l29G7+S2nd04Xnv98/5/twSv377/u//7N/9m//hD//f/+f/xq9dXziUngUEZmm70Nycu0zT0ZjnSDfm5MCW4eXd5MVYdSxTLMXDazQCMBvI2PNcvFWOWdAZgOSomjhucWtHZAHtFkkLYrmtpgsnj3WxtNEziFKseiJakZEOo7aR1NFOhQCeAt6gynWCBdeWoWiudVC/xOwQnSGoIKs9xRbnJABYWKjGN0QK6sBCFjOxmfQPYjEhYHD+JE5PQWeMhTI+KG30I/CP2vpxtcTYeorepu4yh5sGowi46fIbrZScKmu+aK7B3AA1FvPmaxkDdG2J2XgcIo49xJX/BrC+0Chyj0VvIWKhdl3g6GEIxHj0RA57A1JaHC9PxS3tNFnvclQZQnNiBRF3uRdbMrpwxB+ZlGYO37xTgUI5uKSW0zakd9ThTmP1EsgYhagGDjsZd4j7hRAWhveECPGJSH1NtrjigavHIz87OSCucC1FAaL30aGZmbCBVJK4oiJeEaspnAlY0XLl92b3VQBpy46hcv55qJw8Qx6hz7hodYF/0qqAcnNo2BzvTjmVVSamuJnnMtSP8heVwBONW+cfjhhEwQ6xLfhNGk0U9Kt1PFhZyeA6/y3B856xpMUmJadbgpQjjOgNzlTp1CFI0HlQ5dKdRq4sBUrrY87JOZs8ZhK3GWc54ZyRB9/lO7QASHHq9xAqTvm6aIvx6SkEFY+VPx0Aske7pYyY1dlgWvQhjkDdWLJWXd7Ra0fVaVmXZzn+KG4g34cF2s2wqqqo9/bM8th3WV17TL2wqNc/h+bRO1qzs94ST6tyNBRR7Y4cp/mnNkACPJeSu8HsYfY05yUTxyfvs5EhsB110gkC/6chn2X7WPEDy40ox9/X1g9VsgFvz1PRgWLSStqHFbT+2PaNXYbAtufYS28Mdni8kKsZzdlaPs7r4AuW1G4kBm6E6AylHB08bQ1VnuulXe5jroV/X9k/wUuv3d9Wf0mCvNCPL13f6wVWUy+RvTW7XRTL29NbBtJVHVYq3LYPzmWBsN7XB88soRueoGzbDe+ty2cPrBcWdC+0pManYKgs0OAdOtoJEOLutl8erKe5VTexu7eothLak60B3jcw1Eu657bYZGtnEqaxu6gbwKAwWKjLXv9cvnLbOZZ2gkLdyLDVElVd2GtzBqeIP8MJ0ieg4170QRYJ1Dps1kWMdga4CCxWauyhfdVw7g4Hdx/vxKBLAG5P21kVNPBoyC1FLuUW7bq3uq/az+EXkQ/0y+LvLeJKeA5HVY/7xvRWV80oQtDrfqCom3rVfjxF9perilXXTDWu7sRqJa30Uy++dKGux37ZYuuiBXTj0RcqwU1JYTGe3TOW7Bi4ctSLOTM1OmNIiRvrK0nuPl0dFbjj0t6KDwwO3QYkLHg1WAP2Eko9e6uX04spQVXtOVJRPCMDrIW0KtEvFmpvsSyBayJqHsoz0kHOFN7/7BxDsQWtDOz6clk7P1AHHzdcZLhy7Q4YCsMbPv1Pne1rfQsMFIYjKTxAs42OjhUen3UecyxAjkxLYqNOBUZawrESuvp+7tePz5+G378/X7+7/83/5e/q7/9X/C8/Y6l9oY4Ya5jYPL9SpaPmW0pQ0FS4arug3MljmZRpptrK6AUXSqFFWwXoRt5BKrWcz/4+F+mW0CemHUFUybUNUYHMuHsKLMjHlXXoE0rS5JsxqOBCktOoDsDDeCJZUsZ4KAyCKUFPiNtk5O2p77U+O/zplOBqCx+QC76x6nKgZ2qOCMLW4xL31OoIfBmpLZIj0X4PiCTLcXnWg1b0IcvoOANyITcwCEyussDKu+Ox7SfU0WPniYn/HPTgdoiIvnrecJk1fkej7/t247Kh1dJOsucN+cg3ZEeIJZ2C8aQU10rEXjBuA0oty3i9soPPed8QhKbQxFkoq2JxM/2rAOuCcaoAohCHXQnQrkeFejwqbJOyfil3tyd+nEa1LFShF79pj7ush/D+8zXxRmLNaZ1BpTomgKJmvWZNF6W7C1ZwkEWXCPTbd49IQNoS1ULmQ+QuTYVyKecVo5raDeXJd91RrplpbdQxFTNdSYYcKjuVspenfK7bS07pFuws5+5eWVQ5E0hGvd292Ll1FW6qxnlmR1xACxWXutyTHUNQhjihsnEUSxjsNclKcK1fUWasF+vKCfckQ1YBmjcGnTKf7ev/lHSOYM/+z1EHU7Z+02sOBnGJ79J2eZZkWeBGA+R63EmpZ/elETbVbWWJe5hgGN5BJgGFJKO51swBwnc7XUQwtaTpLYnRYTnL5nOXVpe4kVMvaYOLv/cUMJqEkCLWtIS2A5CVhtul2TpPprg23SWwsqx+9L3Ilm4F1XZG1lEBQU5qdVPpSE+Lvvw2zrrU7a7Q3a3MuKFVu84c8LBXWwj2VnoXZYyBg0zTpBYcVmCowJO5nNnh9oJkudUqbupXuQPzfzKj4rMtgNZBPCl347I0zCet4oFF7FVjkyXH52GUl2Uygik9egG8sxVSHZTWeIeirl6cQJ2EN1mHA9g8pVAks56uWp+auavn0dW6b68TljJRR4PixV7zd7rbdj4nDl5ov5muccLqmqX3Z8nJhG2n2pxwPmqI5sw66BOdx1kWvC24TaLTo7oPKt3j2EE8oGkptqyGdqpvcDhPanfFugtsrO6tmeHN2dmBMzoxxOjEaDmNylXbiYdYoS7tjXd/WNJeuGRUWONDuNzgrlVAPAjX+94EuPZmkxGf57rdpr39uwXs+g6ezrlFJGM8JrjNySuqClEjtjQRRvhpq03+akejEmfon2SuRHrp0v2srhcfSy6770v1BBt4VJX0gsi6WoO5gQd4YSndBlCcoVndM8/trusSe/gkL1xdHvY8l553lfTlup+ju+q6cBevTtcsw/srDw4oUjsCVdUgd4bq4sgjh4JuA/ZKFZUJFYq8g+uAJqQYVkAggW30TkwNlPYeO+suA7taTTPnyw7ZGMhnf6QtppzgOLnCLrMrWEJpRlY8A8QFft4OE7LdqpKbISFmF0+Ba5YMiYzzRGvotO9x6b16hxZgda9rUG4RN+CdVclMAK/ijS2fe0o2AastfiRBjtQJCtOi2Ka9q0sTGcVl1E3QNVXdfO1++3j+7vvjp9/hfn387T/+1e//I3/7f3+hvqNFou+jpoQc08qiU6C1kOXVJUlezUytmWpTKNjYak71dNCpHY9q0W+7ygEx/tF856sBCKnKNwds3QQUn6VXywnrSIwCjo/Vl+Mljhs8/9UV3vERcsZeeX6cXF2t9SMOISzADiJLBmiL1BQ6/jvqfElv/jRJVZUOGHvCR/CG8tdZZ8FON0JMmdcV38aIlGNo2L5OF+xmyk1aWY42Zj7Sy9Txt0Y5hH3fxtE9GFU97w2ZuaT3m4qOIR2dFSIisNyqNmhVKWA3YLfbgxTdPHhAEoOWkb3prBTzrJHJq9AbZsfq25MOh/mhdFfVRsYNK9NSoVVxf5TN2vLt6vVlnjBThPTWx2+Cs+T3aVi3MGvXUPTQBCyuiePEoR8H0QBPoQaaBRbkO6d0oLUjZaIPAUt41idcmJwDCOK9g/zh3/J314SwIcD/b9XtYsH9HGmllWuRyEq0e8Kf8miQ2sI/+k1BAazFtqKBplKmK4wbQ+Ctir2hdawppmfrIPCnYtgB2rf8Wj2nlq2pwTNzhHCz9g7ROVF75CkUKo8RaEWMBQ9w0dinYYFHR7ma6z1St6xGOW3RlafZXz+Xiz0ljHHLtW+oj2UpwxPcCAKgPVmnW/STO9mq4YgUwfaf7vdsp9DNlnT4U+kcmSZGAgH7aebnuFBdYdWVQ/XYWywmuEU0w0llxZGUzy/nRxnXhNaZQwUm650mUNxJqOw5nFw1FhjhrcRxJlW64nJOqaqPkbLSf+/5qA4s0oLitpdLDP9e97u7hMSm1kALwpGSE3oHzHs/gMUF3XCtZWGPmfHV6Si8FNYzvFTMv7AtQ2HS65T2S/XCvWLC2W0Ictfvx0zvcYcE1IFZznf0p6NJka4ajE9EBMxkdM1+4SWM45JCunk75ScOWNKMLse1IdXS8S/xHNXIXnKYFKt5f+D7t+dPfV1fHtU3r6qt4sz1BPiWCBPTWxK2/FokUhN9DO+5WLdPDLBMUawVt1iqt5StUtStNlPmxWdwyKmFXomoXiA2WVguWUF4xMLsOPjKQ2bZ+ISGr9cC1Et7axZPNmd1Y436znBqrS7e9z5yyPLaIe6T9ehnJyvdT1FWQgnelTiEGmREVwRwH0ePF17Zayj3fzuRH+v8YAzZG/CJIDJ10LXHNbgDbx4w15b3QdlJ4eNJB7WzeKbe98LCfjLr5n291r5EE/NPsItNXJiCGl9GN5YXoZ1b3Re+wD1sF9XW0pdmbdlFaW/dr+1GPYjBYOoCv/Q1mlY3P0aPu79f6sVVqsbF5tudUgNxoHuNjxlFhYjeDj5IUc2bHn5NY5dOVgdKfWvWcnbQ0DKChEPg3jaZ+4BtWXsgOujYYuQm6swhQqEWtIsl7vcYD0DTQOhINljmuwyqNHUTF1zjXQUNbsumo862Salq9HbSGNwDUEu2dhalwkWvoSA+zEZCeeUvHH3OY9G08tb5xIGNclgUhRvF9tGjthrn8hxJWIYhDBYe82gQuO+dy9jgQHh9fNbre+99/fH7b//wl3/9D//5p//1//b4Pl/xKGDZTg4WS03Olpk96UBlZMpEo7LaKJetLEBMfjyiYRM9IZF9TxtFSRWHtDeuYs3DIddjsvIN4yaF5hx9QUukk0PhD4A0UKe/3NmMFPIbgFl6Bo1Tmg22c6pKJHoo1/aODaTtjrigY+MhNA5NkPV7ZnHl7IiT65IcILhepuuggY98ybFcrtvd2KrHSv6oeSSwfqhCN6YjE5ImRoAVm7kh3Tx5VFSuCV87BjX3/fQC2B/voOsJsGntMmSNFfdHEYuNKHz1Pkr1fheWnbuWW6FaayGe/GG70vL6pMv9jhZSSAZE9iR5X3r7bn7dA+0Sfd4aJGI2Zn8ikYrrvQNEIS1EicA6Z4dP7JgmvcO8NxPosRv3CaL05/mKhV69nM68ffh/YR3f4hifLDSU5atCSzd4yD3vkNSqZYIkVjzCo033nXAYhYUbQqFsVI1dVX6xuNxatSiPIfNpkfI1RiGmGLFRAukkU2o2AHaEzJwDr9sVInPPCXcELFQSbH73IvRq8c3bBFHzDudauAdMleQXXxmianEXq7y9q2AnQopof4cRqBn84G/zAOocH/KaOWMVmNTcYGiW/ezRkHn2RnzAluoKXNvt3C3b0LUU2cS4FIjF52xp48lmdOOmSK4Q9I4BghHGZVyzFFCXYUCzB9qTeeBLxCehy8wwgwIH22KRN6jlSEtz0PRrv1DeTPI3WbA2k2ZF3S7ofCSVa3r5eMaZbDg4Ey5MH/krUSA9B8LBC5vDlFVniyl1tosZJfU/3Zym7Jr0Cqzleg9XwynB8pFWRcoNmeEuwNmiOoCS7ZoDXYWBx0KzCLRpcddfS/aJLDhHsHkE4rIIQUkVVXoHlybpljOqLY9f1ganjFfuPZ8qPobOavXbCF+WGwtCFQfvRtTXmdtQHtJW6e5sOlDWbI4KJwJXwudKoKa4uIux/qiKF77dX//rr39Rv+9+bH1emle16gandG2JY9cmtrbE4C1FrI6q39cQ+pIWJaIx95SfS2Hvvf0Fj7ekhruDL3BryjEootWqUSupeLG4Hj9dEgu3fvRqey8BvqThize+S4N9STdfZgG1994Xa++1BVlm/V2em/ysg6EkXtCBrpknjXSWjdqoQBTzNNZZG5O8hLI5XTkmWHhLGPTWdppRqdPCG4uzdEfH41/o45CukVDGy+UUVpWjIIrYzeR1HxjnZlBY1wMTmWuAZ2AQ5GAxhFir4eAB3dqn+CCF14PdePY2BNY+Rk/Vl1ELXzgGQYyfGH/pVs/aC34XC9vU3nrtausLPMJruBiOh2kOXjVd7IgB6sQu77A1RqqhWc++daib4p92neZvY2sKU9L4lhTWoZgJgIfokelVWN3FS9ouxP7oRXBph2R5vsgqgQH+cZXzRjifNSUgE2SzGKoJU5GX2/+FsKLeYmn/0cFJ9tPW/giFdLaaPOpZVCP0BShugTcwi7qg26qCsN6u8CSxzP4hMJbrKv9e1ra95YAaI16svUcsD9t8+c9KHf5rPDtGasxutRZ4fejzoz4+0ffH/vzx7/7TX/3697//p//yz48pJDURIDhFYmsMruN2Melbx6EYLpNZyNwr5O6CJLukyCRsyOpenyo4wDpFtLMwFPYYFaWmBeATue/6dKVXUeJqdISmirbsrCqrdqDVmB2BBaTZxe22fHPLeCxQ2rcCpPawy+zHzaBsU7AZhKNE1lo1i5BaBlqZstnQreAI7HerAGIjACqV1QGdKhyF+O8qiT840Bvd0/nIgNp3LcODmEbw7bt6g7vnoQqIqcQ4YWj5fgfo0Ced97I5dJZ2K15a6Oh3dvXmCaqcZrunkXIDbZGtjnfEeHEUE4QH1Mp2Z2hUMBdscNGwGJMD4lLjyMzehgW0BVep8Q414VsgRGqRq7FgYsuk0ZyoEIqm/Y8Zb+DpDEPH1rpFeFDOb3XkgSD0hSCSeLMg7iUvy6uN7+bJScKN1OAYeO5ageCZHKhAqImOAutAz+cxbNXlP2dhPIUMUUQBuvK2aZJhzYe7nLNPoZicUpbzsrxx5FTtbWJZ+0PTDBVFS8HD55lsy290JY0InDSkZ+Q68mMK2tJjvC/MI4YmKO5InTQFi2C6dtKE2b5V0IH33LWKC16AhM4Z6xXvnXGFF8OIpDqt/bv6d5FX4fp8RXMBrWw5NhBrgNSzVioqk0zkgMS18gKOgKB9Jxnx13wjU0VKDn9LK6CyJBkMi9qh67jOLHMb5CPwMGR+80Ngi3UzJ2eijEjyXqhszDE55SjmW1W9ZEsHNOEBloxXmVsKkOjG9ZhgBYJLgwCx9NiGap7CTWhZrqp4YnLoh7np+D+Q8n8ZJsBQ+bh/dhwb6Wd3C7B6VbHoKn25tSa+wj05lIZw3BilN6pcmCZpMo8UNoKZDhQsBx4hTzyPxARH0pUcq+HNEaQwp/LG/l/Rq7m9E+dIuHBoADdap5k1nlDnB+HcXHXQKsm5sQ7GnVmC7ZUPwWHn43mb5iLbXJqmgdfdatz4uFiCntq6LkLbfF67Xftxge2x2kL1ajHdvvwwkmfKjhWvLmuXdUMOILP9ksRIllmL0hA329cUqjizBhCWqGOw4t3oqealdXBXLXhdu3qQu6MXVuwbO8RdemKfzpTR3FaUY6QZFnmPyD5krnMpjJC0/SkAM0TCd9z4hMozRifz301kCBm3rZbwcw/92650DDnZTmUhbbghI1P+JGZkTvmSE60UqqACI1inDihiBTIqiXGvguOkMaHTqBesFF2Bl1F/FoJEBEUrb4TbPJGz7LR6ShCuRrOqtoULeIHV+LzuHl0/8XVfBdWygO6h6nXvdJWWGN2sCwTYlzjQS/tl8QDHyVK6a+qlZXGqr+4itJmo+15YArCDKjJgjHEjCV2FJPMs7tZjAorfKlugd4i6tR68BIFk7TZ2WVWjKXK08qBw0CGmLi78Wru6ZrYhOcdDxisIRiFrxaWNwVL1tSVIPbyv9/5P7z8gChjeXBK9AGpLZcq0HF4xW0iMCVDjWlPq4asi6X6Bum8ttNxtcHTEkZawNosejS1QPgw9AWEjPYaadcsTkugBu7VCXdSQFqH1uad9sTYetTO6eGs/Pr+/fvvl+mmeH3/8h3/s/9///Mv/8i/ftb980ZetAl7Y0oO67cxghyy8KxO5kPP+jYlRWhVvvv/rMM8FoiHwGoiH/vxxjGYottWz/TZiAyyhLoe8Wo7CN1jn1+JegUDiNE3HFU+RiJm+fBeF0Tc9FDbabQACXCppyZKS+CYOqxK0f+4chKRzxo+zIIWJuojFyI5cQMpFnkfS0DJn+0b7og97HyyB444CgtvLeIsDIunwQwYkjKwesZClAwSr+4ArhnHJHTMpOKrFaQiuHy2mFpxa0Y6F8AXtH1i2mlTh+P7svPCYhJXe1CpCQSENHhDpM8IMKWUVGFSE09W711WC7NvCFWKQoOd3rqVLRZ70Pbyblk2q44lfOjkdwhbaRBi1lFOLerAMyOYnfzNArS+BNSiZlPnRpR30EWcUPT9lS+XmZgN6H8G3K2icDsrwvVLVgYvtTfqIu76APNtGm098bZrjg0wuHM112hWH2P5omS29SZt9ZIaheb2y129YFtDRWJV0+HMnlq7fnk0NRLpmbnQ2TrtMMA1j1LGjwVPdtItR5l3ALo/L+JD5iCQiseqKhIaRk6FYaDLd5iZZ+QRxRU2wRVO7mSZTACbLjevUSsE5taHr5SJA4R9QNk0WCLS9KdE1MvdINNyQyCih5N5lG2Zq6/ggqs7irLyzICT+f+hWHpKWVJXfMWjDLcBKCvVGM2LAynnJTGi1d7HxX1jCXtE/NQIVrnZleBvofFlFhYLVRKq4HpQgyaJ/96K1C6AjkZQ8mMY3NlcYIx0cUqqx/a2jXPPTkfy+g4JILiktjK9mPD+ARfgw2k/G444fbn9VTDs+99iLtRrGlMibgw7YlJGbokOLZeu27/lWjmzSSl8j3rUGaqmTvhOWRVuMCAt5G644y2GvCs3DCNfSTeZpe9EFK3EaA9wBMEV/2BhHqeAIVbSVS9ztqNPOqlClTtcgeSiKSgXtlsR5SVVb7V75Gq6eL+jSVf3YblyFxj5YbKLEAqrQNQs1z7YMmWhwy0+aSyMkkmpivuyhh2r4sWQq271a7JKDnUXwc2tjtgo1NDOmnbpEbi3lQPSX9LHzqfm+n9+en98/79e8Xvf9HN37uvW6d6ZqyuKX1WIlrQWO59FE/OuF53s3+oGcY0zBnG0MqIg+1T/QrtSbcDpmNiuw7EZN2gACNQJkxX5nkkoWizvcChQTcwnaKm5vD/OXlcE7IIgH8ZAoXG4SlSzutGJm48aZhIqOavJ1brMBAbsgYOcgkMBIz8H3T31/6fu9n6vna16zn3x9m+e/Pl+/ar/XfGKfoxdeS73m9XXmuzSFl0rA3NqRoCegfY3mxbkX+5il1Dt83np97vNjXve8hNnV6MZ4GrOAXVmXPx7gsC9q5h7VjsNXuDuclajVTtO9foo4lXDB1jzSRJjqAgu2knpbGORAnczpJuhwOUnCXqCWXXa14943eloeatTllSxgqzhYDUaYJBa4qa2SFVSixSdbuM9E+/MPRimGisLLpTApULi9co2PVAmzeQbVWwCvbYsPkxHoah5bdMJmMM4oo339xmAfdksQVO2rbWhHg/TSPbOaubV7f+r1fT9G356vn//85z/8j7//+a/4mrtYvQ6XLkOID17dBLkcJyVF8cHQMlG8GrZFN9ojaQCkFw7g64N2sdZD+YoGjFpy4QvBOOLK2tfdAda5ty5H4Pcv71MaryJRm7QNK/ai3W3DOsa99+350zvJZeGzIrNawHLG3FERGC1uthVf/h9YIA9YQ8AArKQhXhdCFKTV+GI/yTwLWwULEtH+vjjh6z+SIZGTjkDyxnEgTFv9VUhyhfsCnXXhvirS47X1y+9nj1OUsGewjpzVJZy7ycNoc0HNirRIl8YefeoKkpU6+T1ijB3n57mDA7M1c7sf5BUeiVNL4dqR9W7mEHBashNbzcA9YvgnBp5TM95CVEQpLolDOAjYqfKY+8pdvjIDYlRBNBJvDQ/IESSVRwGJp+H1fcbtxM+sLd8goYavB0LCKFcBbdTxPX+E5+GUTqHkmyOoO61GACxYhcDdAHcgQQ2EQmd4tetTLlAlcGZF7s6qKD9Ijxpj+eNl6foRhKlwgW3hRBWqj7/oPEy3yNUH70IBsSP4XNzhnOMOqIVnSLSRafGoq9bc+fufuTQdayMprA216a/J+dFYZpVpV3KAlTsCsS3gAU/n7IzK3IHJM0UZf41pAHJc/a6FS/T7nB/Mz76bjuABkGwBlCi0kr3ITgVtBITimrSNEl9mGQ69M7K0nHirr/QWCVLuvOWSXto5gitktS7gGTjhyKDRic7L8Z/B10g/pp10mkpZnrWFzQOWU4lpf6NRD7yPZnnUoBtDDz1p1CI+CZyvWhuzDSvqXZ2amToZYQVWrVZoJeQ0YvKi4GCdqB9C0/ucP20RSCsI3eFarOSaKX4Jla890jt29xywAIiO7h7HLzgm1IC0ZbAT5E1fCEpA1upAHSH8fdd0JH0kIj+VUHDi5VmWYTJLWV+EK9AjsEJBzUxQWL2XsowcqZZWWhcjPwZrUepaODqkujD68vj58/vnfuDRjceotnbRWAsv3Nzl7FDyxpmmy8b3426E85XMmA8W2l3sUpoZK47rtaORyyy7N6q4GsMjVBfx2GrgKhT55YvndNdDqif5dfm5+uR+aJ7QE3r2vO59Qjfuwe6MuOtcqtXL2tBJNWZlYyt94E72MWFq8v3/xIt4mgCwUHs8Q+sDDhW1lteVtWugo15tCPZZ3flR46Yi12cQE+cTH8VZmF2j7AiIC+7uooQyuiG4cDmSaPjDgE4lA4iJHvaAVUl9SsOQC3ip9rf2yoWLoL3wAr9T37Vfoe+rp/Ah/MrPX/f5697fMN+wn8QHdwriPvX6AJ7Ey9mpxWGtXgPt7O68MIP7prXVpppnd/d1f9zP5zxnd3kPtTsLCfdrZ+oW9t59XkqOgdXqI3F0F8nZJjguJ8bAiU8F84cc61JZ2C4LcNoGJqw4El5JxnMt7/EpALbXJ6Xfi9wK23wwwFhmCMKD87hu7KvqwM/I/pWRYFffkE3ujmPY4HnJXMl+amz0j7g1wXADgTvA0HfBSmpge3THwelSq82E+qi1RMiVJsW6TXX7vG4r86vIXd/gRNVjsMv2+C6wB/x44uNz+Nkf35579+//c/3lP/7EXm1ddQksbpUHGqzJDLEtl6s6RWrhTKZyJ7w6gu2muCpxjlImK/JAPenZy7qW1D9GqY0VLiFf54418q0FtOUqvnRylWcnHgighLKSBGcvSwQdzGvVbp/wzPU1reg6NacAjvZ+geRGqjSOnUNG8lAa4Af5lzoBpKpcYQUecM8xrqozDlb2wOJ8AVAhE9wepTZUvasFO6U3U8CshQBZviaD+3uBlp93QFyc9QpoJCsa3Y34EjL/qyB9VqSTjjWzmBUDg0SudCiyxl9Mbzth+RonFbdphBllW4/ygWUeL/C11bgaJIL3XKiWBYe2TZV1Sjki9WyF3h+NgFpHcTkOy39eVrWVlIAICFtJZQU2mqxIKVAKRCPbKjjOVxccTGJoOoVp1SlH9jSvbuVsFaYs3uLbHEPPqZO8uW3f09F9Z7EcftLN7llbsBM9amVPcPVjtrJb5UyBSs0MRndgqmgX2LFKlcULEY3wbY9ES2kamIXsgy8cRjbxsMx+plms9MIeHiKPilqP6/Nzu45HKksNWgtILGQxWHMA60Svi1b95GTLhewHlMgx7/6Nf9v2m+xBH7351H4jy8Jag5L2gVwXZ34V9eZslhG4/+g9/DD6AnAiwCS6uw8rwnf/YULAgh9D9kGhTnvj9eTteNSfXh/ublxd06UMY0l1ipn/rmNZisD0MfAvOD4EBaFQbCysqXHD41IvdGH2DfOJjOiW0WpLI0CTfhTkdLjlux3PUwGB9nvM4Oc63RfIGxHyBG5Zgbx8SLw9uW7Eg4Yfo7RNTM5hMGjvctp2XVZ8gbBQDIKS4kPbVe2R8c+XE3rmZFisR0KRW1ZuBQQP4ZP71K+0QuPg6Pqs50og3a6sToyyEv6k5MFfzs46awMn7w6rtJlZBoKDi30rujoyvlyiNFqbsElpZD1JLkUs7yis9vNzZ7cv9sXrcekqViujQwHnZNcU68oTSnfFNSVEC1oD5hjF2NKqvKwGpVakNVxx7vUfz2I4x35hL4qlfqgKl9cIt3Z4E09q674x977uwg09hZvz2XuvBphaJ5zMjkQ2Or4hy2/ELp2imeGfkn7sXs5rKoYnpuJIoJT/gNlABPKAdKkKA7HFDqUl2gOwCJSVXKYfP9Y3SaBY5Y5ioftHpkcBbSCncDVObQ8gVOaej2QFhGt6rx7jFl7MIXUXFPr83TTICwLDrC2aYQZxaYURntLn7PfXfvvc1/JT+rqvP+78qvu3uZ+6n9ALmNJzP77t82P3Exznnw5XM7qfs7PzmpXVWf7nK9XeWmqE+6SyznIWM0m5dAjBcl5z+ToaWOAjoXb2FmTpls1dbRR2oCRm+dbzub4SNMT4zCLcUPWYEFj3b3jfK2a9d9/DmZUntG1VgdYTeElj1CC4uun21gNKDsIZLhDuY3qYoYbH/+IDdAUP0BbfG1bjIai7YVrL7LD9ZIIwqSepjMeRZ/TatVcgqq4Sq6pQ11kssn3KtinPU5WnXXANW2Nnlg9JM5/3/e1zvn7s8/v9+j6Pf/ztr/+7n7Q39jqJZpGwEoA7ZjlvI5/OuHL4tTp3mjYSR+9FnnsiN4Gzg526Ift7+FYi5M/mVCqgyOpmXQqWV2MTgV/ncsfZp4hgILjAAruaCkcLGIiqH0UusIHXfWXyADkuMfp8IaF6SwBU5ZrAayX6DIBC7Va9uT/byrBr1dFhHw8UXuYXjdSnPoSVKSZXak9FXqhasPx9HYgZHRM4ydkpg9YWbefelSroUqogIxGGxVQOaV8Wy3S5f7DfEFgCF7PEntxh8tyJR/jI8+Bc9Y5LaP+6ygJw+ZVu79g2LVPy25ZYC+ckkKTWcmoXYgi1+R6Hc4zgPtz8Fh1TTEsy3LmZJTJf7m2MQhHVlmu5U0N+vKvb9t2YD+hFo3zkdgtSshuJ1JXfEdalQVTFulQKxXjCOvPkitZYOJsE6X4jsM9d7pJfJLVTJoH975YFjXeecIwcoJUCdngQGreXUajydLKub6nBuzU7QMe7siHpeAtFPth5DvTTSznqLeZgZ7yLO28myytc0QYTEJc5vdP/05V5Af5X/oCN03/DLXe1y6+NwyLL2veC84DSGhW0r3NHHtGtC1pmAZaIqvBf/q6dCsbjCCyKXxt3DA7qjFBgYBcC2U58C3Irhp2AgX7WBYQCjqFSEUV4RRrDdn6tSpI6KmBACpF0LCiSBscrVZX+uMuly5ScYuX2D2w6QKvNufsLSPaAnAg62YczDBqsFiSSR/YowCC4gCl3a1GImwaLnAVklTvoZdaSMQdXWVrS+I47oHL/5UEddfBOS9A3l7JBAh7LFJx+nEx8ZWunkvehgdRFljFpSgH6IM9fM00ZRo7wCWDnw+GRUioec0tYoJxxMDHVqHhvoFRqpGsE2E+Q1nsPnvLmBOrUqIZ5EJAl3cYoCrP3j2B6fSuF1jbzHL+7K3GMWr8p3Jb6gasufdf9VLGbELbU3Ks0bYqCYihM7S4anZl6i7rbW6UEsAZY4bUa7/CSdzKOAgHkxOLgE0qEcBHVKkKP5uOnx/Vg9ZZtwIXWxfsLBvPSvHZfmNdy9v7YeT7mtXYl3Tg4GydDCw7UbnJaWGgyH6QqdbyVPL77KrCbu+LcXNbMMtDXj+OvIbMwTISgbGK2sNc2tg5Xmr4IQCNSQvcYRkThMyb3m6SDymYxWbKSQ1W0Pj7yssv3b0khtXRuheMpId7frQQMcVB/QgZfLB8iMLTe0zuVFn3dxN24S9/EJ/UkPvn6puevt77e8w33d86H9lka3R+1H5gP1pOYa9jetru49dr7OU/Njec9O3wNbl3jieS35obLfax2F+JrdN+a4YqLncU91LPMB2J1u89Y7m38J1nsi0sApVm14RsZJ1JX+8wvXFVsqM5CJAGMa2gX7usSX1H5gk6gYHlMjX+Hz3cegQ3cjxnxDANXOZpcXvpqq3PrGeOuNKFVa9TFovflWsm4QbddguVYkHlGylSaSyhuFcz6V84qQueANbFaleFORF2ErzRjvF1Am8DBjFRarjfE8vPj/vrt8/M5r++v+y9+/cP/8IfHl8e+BmxBLFx1oeKxl4Wzb66WKdAOfu1Y7goOzyGYGGL0ubs3GsiIAjxKJYHUHeMcAu3sufPlgfGO8RtwVytoxNV6TERtwCxDVQSlFFcHGrdxRadIZgq4wD6nTtJUAj4xANim3Na3vJPGtTAL9c7nMDVe9xvaE+vMeOqKOssXcVvMlx0Mk835I5EiJOclGY+pIyB51KpAR3C4H1usi+4gw8GTrnqX0KfRzfEJMBWY2XhY9YqUoX2CzwN6bQ4um20hUWnV9ly/R9uVc8Y2U+GokyMgmFz2USjtBNrIhhOAkaqnoHjLfDa7hlKEOBIqkSo2TXbRrIKUMUbeUC5eeXTFCxR067Du/m+jMySwmZp6zoEsP6eG+poJgQ8I0S3S5BQOpBr5ulFVq42HNG9OyNqUbnL2NMtWI50WwEGQ/uzVa7re7WAbDg2gHfwWKXUUt5nQ/mLKK6OcJfpuMkgd5wAU8uvdrgSNdKskelefkpw0tcaw60JabpTKPWXa/mwPa+BisXHUxAFOGAOLy1nF5+GOoMBqMfBXzKo+aBSZFf1dNbuGSFWXKzwXg/4daiWCzseAv2QAgUWO+tScPj6srpbe7MMC9p36xXPTwOb7wrSRn75fgR8xdNFbIQ/Q69zH255jwn+dYebWtYFjbfoQRgUjr1Kye0WAGnCrqyLIsmwkQ08h8LgAXCsbfps9aTjmnws/0MuQUTKejcrBnsPTzlomf8+JDW6HdgW222D/YR/QoDzMTLR0D4I0KbR5rtmzKwz1gNZs2VzCFEuJDQAQNhbYrYK1uED+vtVCoFtAnaqR4Q+QE/IcxDyZgPCnTuK015r7x4MDbC4K3+Q494d9azks4ZjjPTpFMMbv4IU4ZZz/JhKjdkRuZ3/6jv9h0EkXotP0+/4v2yAKO7hxntTWjqjP59SyrtpriwUWW/cDgrXLoFjd5UAUsRpd6Ph+hmpO1ezgcOtIHpy7mXAeCf4U5DgfKTk6U1hwHg8+HvUoVLMtWSjPUZKw+5z7tfeT92v2pfv7zq3dncGMs5oFrQNa3KZh30kYPAfVhYbv77yRrH5rcztoHRuUuvWgdaJ+O/C7veizAhJsAcpL+qGsPnptH11Edx7LLNYnySI4fW56t4uu842KpgWh5T0r39fXKSRcIrDQLgmU3+tCYo0nKl1HelNBJ23VHUKcRT6YCq49/CQpUHGx5aq/9p59Qbd4i6+6v2I/dr7j9U3zMfrAfMfrY5/f5vms12xv9Yjoga7lLO7VLjXcHe7ylkZ7N8We2lu4uTdXrdkZcEbC3DOje3ZeGu1937ub+lh+zbM7mhUvW8J9dFd2JMtWLoG1XUHJpIK8rKfK8hpfUKkVgLKtEJoCsE7iJT39OVc2l9I6qMxngG9kW5UaVWrGJR4cL9WS08mdVOQhUtghoLXYSbGrTUO9IYjPAEJT18zLEznJdVidRGt2aDxetzuJ6oTrscRiG1h1E1HkgcrXR6mDm7UjT87a+znfP+bju75/6ql//od//7d//W//Rnq+dlGNqR1pi9WUOFsQ8zoMi/liVBavpUgB4GoD0+xEFF1olmfcujtel5nLEdefsnLTe0PriDTs+MxtLuNShlm1nCmxXeCuMeVl4a2CzgcVyCXamn+5oIZ8qwd2qex6Zrpsbl4JfTYai5eCTQhyfh1XFh5r3xOv3PccoaylhiaIXCwTyIKw1gmBGhg0yZSuv6QBJxed4Zi6iihV7J9Wh0MO6dC4eJCOdwAykxsJBQVqE3Pcqc7wlqYpt9IxexNxBZodPTeZNjjy7DHLnXhKwLJ7d0ESPUzOFaChROWdE5GNWKfu72I4DBK9aOpQbixEAuNC9PY79v0qQtraXecmGewFGZe8awzlh1u5cGRQSfXNhXNAxUP3AJpj7A84UPmB1tcShzCI7cHxnjxdkusdI05bVdVeJGwWsCchLdAhcFxDHqWAgxxa8wUirvr0r3F3h1HzuzvAuylVF8bW55Vs9giSpH3nT3gbQBEf0wPAWMemizf14xNJlHbLpeP77gta2ztYaazbl3lp/1HDKsfqD4+3QtGZWQhyA5nYfLcw0kZl66dkGZdED6E3OOoVK/EuiJUn4TruEH0pAwzyeH94gKiC20q7VCg8m8j9QbCiTWA6OmGVgeoArAVojzc+K8Z8qlm28Y/Bu6/BD27kjEN+e3FPRwW9txdMt6lJFVDsdwiN+3yr7tNnFUSVZNrb6sY9waOO4gxGGNEPY0Ff8567LDdz8HlAL7grvmVp1sw6dzQStpVvV3BUY14AK+kRPkbT4AtV9Y5EgTQOm6ij3KiwNDZoHIKMvlJ0ypmgGgcJwh5wwSiaj+fAtAI51r0ZhA80gh/uNsJzDhV3tjvefPb8JTc9ixxp4JtcpCXOErz+0rEGtYSQDDRDQFVnGUarvjhKb63NOctSizt+5JwRHefeVpd4MvXjYu3rrvsRtIbusXkRxBTXuXoOPLFRXihyYDPNidA1K+WN1GrO7o3xGjak4TXpQlkGRpdUk3Wxr74u9CWWvvT1pa6LW26yRvcTH5/384V9aV41n9ib+9zReHfTzUVthG6HnkmJnN5YeSUk3Oz96cGUaxO4wDpaeW/8XtACnsZRM5xGrbO83KUFIUhkh0hcXr8L/kncAxfpH4HOTYQgoWMgn1ccy67fUFZUSyWaw3GLh0mhT+LyZHKBhauO6B9YRPMz9b74Ttio4YzKPxHA1ek4E6mr4g7o5kpY4SU9oU/xs/Tb7gf0yfnK5zfdH7i/6/7k568z3+b1fe9nY4UbrxndgDT3zu4uZ/Sa1RDz0s5Quo1S7b72vjUzs3jNzpD3zL23tKNZaPC8wyM7mcj38r2L7QJxC+qqR231ukw3cGjhrqqYHrbUvs6KhuRqFNv0zBHUUoYEzWcFu3fDNp4cq9xlRbHSCahSIQG2W1HGXuiTQNN1EW0b8VhtlqIbs1xp7rk9v3wXmFtjENGfcIGUX4tarmITIVWRGJSPlLpYdRTpMNiZOIYqh+6F3JWjr7Sxp6xGnIXPjM/P/f65//qv9/38+vs//PRX//bPnvqu2oulVkvos7iacKZKNQuomGEYZMXHa9pkAtwhVLb3xt8eEMuNeTUBMyt/0sGn9HLrdtJ73pA0lmoSy6WHdcFs8UFpDFh5NKAvJYDj+nvXCGsy8ATGUCnLdwjRWTHWGZo0pYUfHKzBXBy8K7WQ8RpA6TM9Eer27Qv7Bi2nSuHpX+WDZ+Kw9GcI3AoHZuYPcZmYeFfAHZXum6p2Z+RRQGn3joGVlM3JPtpKsaLAHzOfYVO0syocAl3zlYMMtA5oCRhWlTtXTBC5sa8GqrjrmRu98QRakfjmaOi/59KvDY8ZKzT86pVglQBskDSSW9WiObJc5+mWT+sPQc6RKovIvYQElUcz+A+76AiW4ONg358oPIvpLGs/jmqA8hj4Uw07Okxb7gUWFr/HK3J2hoN7xBQhJKGr5HIcIldEwOpyd1ZBa/rgFqlPdfB7l94JbNZ6geQHKqWgDnK4p8j3x6JoJUxtulYdF2qofFceh9bxinTprDfKGgEfAHoQt9xuSKJGfnvzHpG1ixmoeoZG+BYaaSdioKSfyMAK1k2gl6SZheLlwlYRy/oWNrSRqCAtPPJWBymy8T5Sv3RGgHAG41q3VPDQCFbq8HOURJBh/bsza94V3frx8uBMOo0ZdquD6novrU6PCAEc21qyeR31BkdeyNXEMZm5CrHNQJfB5yVUbbrK8TnRC6Sfkvk34xXvIi8MILWzq8HKgS3+7Qp2Wg6wKwMMKryxZrpqDVRBjxbGUkvsjCbFtAXp7gs1roK8tHEYTpggU6o0PxUXRi69V17aa3TGA8IcEQHCKQjwTGR/aig6KMKTBT2HwrMfvFtinmGqdsUM5xrNbUAEF+cDnQOY5Wv/qtxuer/plJRZhs7ZMidzNGT+04vTJlCmT+stGVEyPlR4h7MSu2WSq9bYlXGeKlrc1N27HB+1XpdYUHVznhhJXeaQu6sFojedu5ZEQ6Uc6r4KOjgxU9EWZrXEzdkdeji74TWJvPFeVDxLlaxib4GP1qPx6OvxgLCzLy3E62Lrvp4f98dr90NRAd2277bz2Zx1h3mDfz+yntL3V73tRwGnfNaFawQ0wez7h9HNGk5ywcJDWeZpnPPUfbxiT0foNocTfRF03L0++VzFGPExIGyrblCNyI22ggY7rsA/ZIk3g8JBlVDHw8DidTADmuJwJxzYos5B0qfTaBe7SbhAu5en7fjvo8y3usrJ3MQWcKV18SUw2pf07YlP6Vn1vflR873mO/Uq/ab719f9dZ9PX9WtxWijxNqUmaNd1SzuW/fu6J7RDO/Rvupe7XNm8VpiMTdf985rF54XgZexl3sn8ftgwpCmCYxDpk1cmU6UiS2rNy05NVeGMebMfUt2WFwn2sFRcgJsK070mV86x9Ufms7a2W2dteVxmcoaYaFGvfe2Ra2O0B+ZvRc9ltidndsAlQQM1Zqq8RlqRPuilip59AHFxBmYxdp60EUzrG/2tVWq3piigLQuza7ig5jcU43mdua9QvuSBrt43q/P13x8e70+71/+vP72P/z565edugVxNS1AFiPsrpEYYE85F8V1ygSX8wBWb1mb8SNntVtURwVIOncizFesCa/4QitIrJHeaDy4y6HTfW3NhVVG2vGEE0laLmpsXl4SvAv3AmB7a2ecq6UQnt3N3IcR7R6An/C1zAQOHkYQEmsMNOd834DNDp6PXcOjLSsIxfLUfbsSip6zJhQWjVoP0XbF4RNngmceENicCjYRS+lmfdypHKJiowMUGfJs8GlT6Tw+WwYgWB27XWp9/MBEFGRyZd2wv/sOZUJYJ4aALNp4AZCIb9y7V0sqnNmq4HGfqD4Uz2bX1gy8PDg51flDKVyGrSr0yvsCD6QduXvxYqg0pxopnIqrPZ/vtKvfCGuFQXEaCiNvMJkD1yF+nXCf7ZevWpqZ81/w3Fs4Wu/gSUuVY9fLPTxdBqxvMSuK5QJFiFmosQALa/2e3z9sRZTlFSnXnUiTV3kxr1mKFIlZ7P7IlkM4oPsAy5505MlZqXUOJB3xvq2WyESRI0mgPOpOOVuqY+LfFE7WfFx7ACCAqkmW5NshxRamxIEa5RluKs+mLPQe2ZCX+loq90MDWnKQ7ZHvef3am0SFh3XIgJvxXtCp+0e4f0iAtMswJAvpOEyRUSSYKmo2vx8b9jM9mCbJIYuoAYQmb5g4c1HlPNp16iXJk1DPCs9gsIDt/Z+uX3aYrHFyeFr2JjtcrOb4qvhiNasgeVBrabUoUL0z8mKbdgKObQ7tC8OMVGWx8EcrQ3kwnNES3x6yDLzGSjJOSNN43pN1JqHqcnJX8DS2z/PM9emWtAuz5iLa0CRKGBnoMmVUDc8pnXXnYEfmLtZoNoXMAuGZu+dryZ2R4CBrGg5yn7GjlJA+51X07D33Hag3/Jtjzt/X6zv4f71vP2+Kw1JK9AgcoLAhvSuFo0vAKeFEk0Wg6Q2a7qOOVbgyxoK7cj5xNclhtdC6eXOvou5S6Xmzfv75ofn46eJPj35een0sm6x57DUkpXbWb5sFnqhzBF6kahx8uGRdVkPAy7+JUHUEtkqFlsayOWNHPhJQ5MV6WIxJvPyFGqOPl15f7/269fGYgZaadYRLijZqt3406ue3+0RlwDjfDahwysqdnFcBFDWCB65EhhiAUIbQxbhKjEGdH5l/khlh+bOw7PxQOHnbIDD5VzzlPg474UbYdGMGchK9CQ7y346Hqg9r4Ya40cYFHAbt5Q0cL48BRPVir5RdvkBV6EH616BjPujgfeJtxsIOpMUF3pYxAu1pxGZIcddQfC2buG8+dn7i3uL15b7w5RdQoy97fSGK9Vl6DKm9FxCu4ng1VYax3xjNRlPdmuodJAy30MZy8Bqg2ECRuzdZztpwx9dxP6mqUIvuS3haL1c+BMGt5+7LdROa8rwErS8X6VhWHUcAiJke61uPqCrtwp9bToinwywu3Rs2xy9wKapZq+3twVyFGasYsxBWEu/gQHJsvQSgzf696Pamd8G19/Gmf2Pd3Caw2moDXe1P4xspQcCqM3Nkk4Si7SqBejkmHLicanTfTQ6OGFLoAXbUuLXf9/XzC7/t/Tevv/kff/fl70b/x355/QTdnztkyZVk1Zq43zi/DCpJPr2Q09PR5ph0qjMgb6EwdKFAYqONEEK72gdeiYDkQB2bwIHbz30Na1eHiv0MIHeLNQJn0UxGfCJCF1GwB6o/IbEHESJr4Dmv5dlC7xLQIK5vfkexbTBnX/FGHh3snaVV9JAhT0+H3qNFkGKPwgzYtlb0wSU1Vnrt+85SZkF5VldFWlPYJdmWpvm0sXTIAVQuhNwNt6d7ughD1VEb4DgGXS35/xrFT9UuwROQiSQdY4ltmXXjsrjjKaCbA8ov6VxxNnWaJ/HxuyuyNGu9GiYadTCeXgerhfumR/uwRXufGaODtoDBVVhkDthSoesjZYlq/7bDn+DgUf25GgEMXx1UvjAgU4NgEWmHvR9pedo6cGid7ld7rFWF2HTdyzJah/VRy6wgL6W+T0KAGRwm0invbMVLQt1y71CuSnJhSLrK470uH4zj7eOfz+DkOENZ04TQSorVzoZphkPtkoIexs1wqwJURbVWOIiZpTJ+B7s0/2aaTq6N8C63Uq6bgchwIYAeIyUlTcSYC8mtRAXonK4yaBBacVVGBf2SIDfT56Y2QmI6baMNoaRaTta8jXBceAaMEQow4+Zk3WzyENNU24aPyuwLGuVDOmzLUkhQk664Dj0A2Y1+7v1z8ORixnut8GgsJB9r2tWcmYKQYrvFEQtZQ3AbQi6fifKAiiah28CWF1wqEVP8zmgktBYNhmMFMD6ynJbnteBfWjbL+6A02TslguMI6wmwBPv3/ySlLuxkpddyv8mofwhHWjrm1DC+ydcCd6eoKrGa1RE3oiDjc2+xhKF6MxMOXW1TZR6jwY2twMvODzuCYb79ZS7T2G5eLMQ1AMwEb61/4JsGO7W+hZHWG6VGzf9OK2rhFdIen78d6AuydAeoNjHCEEmkJz+e5taH7cIWxwWZ1Ds/lfNfxudML4IasnQvS9eFwvptLDrkGr33CaB2Cx3xg9EurPNrIO0M1xBNld1KMFUnyi/Q4oMqtE8w1nbj8ZC9ghdQd1GUqjRazLf7/orXU/fuSzvmlHJWEME2/JDm6P68Ca2Z8XI0Cl7nmKKfl2No8991DC5lEP2caPbMNAHE5S6q4qWOqQMnwNzoUJukd3Bnokng1Venb/D9bkIgPRLPEsPpEJz53clthw2p5mQnDUaFMzrJij5cgOv8TMt7cIX9Nh7TjGfAcjk0rkNKGOi4jj0q/ACBO92aSHhEPbFwLK5e0PD12vnk6yv3N+I37Hfut/r49X79Bn5wP6jvpdl9UU/ewj30yM0Zzr33gsN5zc7OLKc02JmBZka3bmE23tQZzO690JJqLHc2UVK0Lxzd5ZEoAra62igBQ3hgmx4GGlmet4i9mMG9ZZRrc+85dTAUJ5VMDG8OCahyIkLND3FGiFBSnYLhWqkn2mcdq4Z8ygXjBmSR6jD60q3Ye2ANhecgo8xNtk6fahaRVfQ6hcp5JFXNE4A2NoMdhTNQHpcn0CH61QahfJ8OFrx2uPcu9rnfPz4wv/Xrfv3tP/7yl//u8dKHUFMXLiwWF+q082VgFRu1/Ebz+oZ54KXvHsFrUkoVnxj+hNodjw90JP7CMIlI5QR12m+QDsMSXPuqvfhJyaEn9wIJTNPAcVK4paEEKoPDQUNt8Zto5fHwUTUwpEb8IefiPlle56xcQfCQLhTjzazEXXihLDdsAT0eL4QlILKbgv+ma7h3NCpBYjyq52RoWKkOR/9nJhAqPNbRYQj0SBicAtCfM9VDUF/3CPmK5zoxEmwm4iSoIPeWGwULedL3Ir4mtkuX4oF+morf2ysYwSwYAXJMFWsiv91M3IcvOkg40xpeR2rEW7WnHYJ50TUJ1/69uxZYnVgbH7rex6T8glbgUXSA/vc0riJorVOusLyJ+fUPtJeGYHeieIsU26QvczFapG1W2IVGFlU+TybFkrYqu7dE+eqy2GclnPimI9j3CeEE/Tfcea5xv9CJU9Tpl5q45PcceVKxygSlEBe2xIOT+UOd8kaZ7xXsE3uszu3CtKRTJrgPOLuCEuYIRXAJViwDslEkIlj3mQvHQ1fJAyD0o/I5okKe6AMsqvqdICvoyvJcNE0qxbVsC21ee0jKdfBa+EEE3t9VeUxUcssq4XsE5Mn2tGoDItpiTzdz/pZOrMuQFmHHULy8bA4xsf4fBZxzQMF5XMaI/ZKJY1o6haUz/lDksJxsWV0nOgS509tbgiS58HTsXAMBVwSnhvoRRFwZmZRT+V2naCWyUChNuwlhfg7JHKG51HwYBTodBZxEVykx7TmXgrpOl6FxFyJFZ8Gt+0JAjKOZIFU7XmHxKqDhQ9tNmgWPANRHBcQGokmwjiWcigTrjXwqKyJZZFpO6k5PzPPF7fsqZ6iPA+XV5xQnsB2aUf63FcaYgoz/kfLgJx0L5iSiJr6x1AnGG06767N9IwPec+pZ9zdn/xjTwtwg+h6wUdU7BbVU21uc6ia6tm4OOei2TsxCTZiAalTuMW0s1u4bSW7GoM5yPE7EVbNKjlQlge5FqS89yC/A1XU9TAckEc736069Puf+tvcn7mc9ZzWcl3ZDXx8o/ehq68qFQLcF7b0ZvH+lSqWF949wTVB1xIxZKyn9lc13Ruqcf4hDIcSd57rblc65DlAI9UckYeX9WfSusxWIyjhIwWF6hguNIbz5NR8tFYRefdT8kbGJFFpox1Z7Eylx8Va4++46+dTZcTSJOiDefQt1nUbiNCdugWKBPOc3D+8vYqFbemFu6Ob9ofsb7+/3fFt97fl1v/9x7193Pm98tm7d9+yzdjS37hFut1G6fS5Yik/tjMQZCHWv9p4dPNUaCtqBxB29Bvctbd0yLkI7KhhAODp5szRFNrtZV9kP7pnVrqWdFMa1XyO5at6whgsLe9uD3bve+KVIuinsq8q6bw8QNJ7C/VErmj/y3b5xeqdD90wC//cwKG0mFv3Q70BGnxy3ciH4jGnUEnetpMEWL2hIY5PJJyEW8dVCgtotkxzlVaiqtlcl1BrFGoJz7+e9Wr0+5/XE676f/4qvn7/+7g/6+//w54XBXkSrtrkczyg7+eXGjQODEJCzoeR6I/GLY5bU/JMsFZOTFI5Pxd9fyVsqHBGrD4QBwLW795hylPFRBPDWpGz+uSkCaCs4nxxHiYkVw62WQawzVG5rICwn4YeI6oBB1ARJk0T/wExpyg4/sclxKkK5ECqUgOFVzuioKLxx9/0FeJQM707RG9swuwgne0gC7kTxUIHwy62dRUqCMOXP70MhXyTkss4/I4j+MUgqhd4PuXmudoxF5RP/hKuV5XkmioLufPFiAGOrFUMNVXT0Sgft6w3YHdWq8TCC5f4ueXc++u0SZtxqVuQYKzL0HD9P/IWGUuDLy3JVAElOkk/Eo9k+a4cI9sI+Tizkkt/kSWSm9gIL7dZFHyzIuazcMJUrXGTF8/BGf+78KP/p9ZpHhjEobUrOHISYsjLAI789iNl/AuIydQbWBuhaAmXRRBHV4VAAsOPbK2gDsqdDkmgPtCUGSUTMPkYgIxgjl9kWX4bOTC6WD5QUsfAqhlCZB6uk80GrDeXhZmOXk1FNe36dBdAuRMenyhrv91W3i8KRaykDeOuMmLtw8i7zDlfvy9+yOCuMXNFLbBV2dKN4lFYqnG1IUwlyk5NTPKP66v0v946/KlYQV8p4e0t21+Ii1/aBr8NjeJrxKhHyu2beTlwIQEzwbb97irs7eKvDPS1HItVr/L38GnZFS7hlmTwOs0hEBpqcfM9mOwJDf2q4y//RtABmfuOWkEV9CI7pO+ycuLuzZFVSOv32NkQ/QCnTmkZbVSAWNuR4/rv6FEr+Y45QJLaIiNpT7FfEvo6MUm5UItlvriV5duHZWC7TBHtmIGmtbTrl5I9z2EcSALr9cCcV5pgu+t8GgM2f9SxrKOdeig0g7QCOmNM75UDfoGXDKR5Y3S4MUttFn0nWsn0vElp0afkonzZNXoj/tvp6sD0GghS2oB3xDrjAYsNiyaAsYqF/nNWU9OBYCAhl2skOPRVYaj+/xs0im6ovdf3UPz3YheuCqkXccY1ghvuV9yfv2VuapSaoaR75EdMncMw7la6cK/4gF7Us9AltQuB8180o1wMTIWOgibBAkBy2AhrXZ7D82pND7QrfqE7J8i2cWrkKTgajX11GtufWVoF7bBxmvR3C47QD59wqkDORBeocbxdDZIb0mRbLlrJ/yV3HG5oz1LvAGZJKZwfWYRsQrOgq9KAL/e5GyvMgYAFJ28mA9190fWltOVcY4KZeNR873wff7v1a/MrXV76+4fU5n98xz5m9Zz0Gfm/zzdvr5BGnctwgL6fiGKJclHb2tTf0ekk39jmpiupknkNucehQA7GqnXxzVUzc4QS11R6D48EIPuAW1ANc1jqQhyc7wARnFRrxHpptxA0wMJz1BrUevQinBVHFGH3CH8ttLoOt2gjhe6ggxMGUgsTHR529X+bdsNVA3P+s6CdQJ9GTEF5s5hgmcFm+zTh/ue2oXK/AqvLYb9aFa4tI7gruu8eZh+I9WOn+3OdLn7/1H7/98fXzv/7b//SHL7/7ZV/FYcuMf0MBTOcqOOcIsHHV/l4a2n8z6XVx41YxcqC5jmktIKFpx7TcxeMxYlUl51pAlC8+ktwKZHRABXfmcUrgR2iND29J3q+F+3hod7Qktmprd+wentJpfzmJFGlHJCo0rUedCmEiQaC4fiMuU3LTOo/JtRRrsNlpavfwP4AfBPbGkbg0rU8Ju0dIDsjxYqzTeLpGWCAG7ZRqDusznRvXHRviNtum3n4DSJu5uSnbUTaTnXK2W+WDxycUicQeusxhTlykAARco9B6UPFcZW7Cyt22S930d/Rla2DLRZ2daPmrk2fgGc+u5M3HVWB1L4okgxB5ATae+Pf6qFm9Yfjowbz2VsKyAHHF2VzUTvrtMn5lzEgH4FszgwpWdDgKHKSIgYkQgxJtEPOSJE4D99YhNCSbi+3j8k8eOiueiijbzJeHHaiQVB0yNALWN4RxA/5JRMeOHA22mVBbNG7p1jTzMHl6NVRUoXm8+IFUM841poNfuUdvdyIRO8hFIO4dE26eiL3HfD4j3cHcTmeZRgOnPKIfWDVBC3UdFG+mxlQ7JbstisgCY5+rOIheGEl7WoNsukVlNGK2WoSFe3sI3US8S4jWG+tzsajZNXxtB5BRAA94NJPufxBry3oWpUxuZa6swvUgP9ISyGEokPLknc24P78JlsRSzYJNE7Ons8PJ1zTi/4YZ20Ku9ysNFCnCc2u8hsTCltGvnLaF97iM87iMFHb0RxGPua9duUCrsmnkTuzaaWbOYQCQVn6IQnRe1nPKE57kYYPevU3G6Ggl1vugkb36AnasezyN64HUU96bSXVdGKUbYaWFiVGcLROMLupJs9M5YswibeAFCLNrM9EeXwAdQpyPcA44t1VKIgHsbPO1d9gGIGoVuHrzLCIpCSCHfsQNkCu11s3Fir25TfwbBzXVVu1zMP1oNMsOrDFy3Y6g9CiH2cN0+MVFsOXjlDujNJ9yK0hYpQ3VQw5B09ZVVcKl7umH6ouuwoUmNUtPPinUPvX6rvvJ+7my0VaEXUH1p/edcKbJu6hVkp4i1/HDxrssotE0l9SdZxkCIEozhF0uaFFO50zVkZWZZbDnUEWwSb/D2jM04LQfubYXj+ABjHUjILLRNlJUwcMVTSUXcy1RUKFiIshtgM3wk1gVaZAxx5nOx9ZkOx28J+vIuyZKt4zBpCxbWrBQfezCtOMUVWjhQh4U7AwRane0Gg/g0mLuG5+lT74+8Po6+xX7R92/7XxbfF777PlYPYknJ75gzS5XmNaUg7B3VfJkz1uzp9T3cWivomdcyDohU5RGGyXt2sjETR3ldNmo/tnBCnzQExwCbMKuIKuCuJlX0m4MXQvNAY4MbLiuMFIHH/Y0XWlcukeL06Ewt68PS9n3R0dirldBhdLWWU8+YxPGDgoa8vR7p4JuF3nOpwl24J/n+L9oY0nJQQByP73QmLQoeDyznNyeiOLCasmnFyhfU89PvT7n+f3nX//46+fnv/zDf/6bX/7mp8/7CU4VK74fAmSrM8RL71vhT43z+z40R2ubNiUnglNHgnCwcEPKLlcVenYhrThD4O0QzRnn+hbeVVQkyUdK52vLb2lNpcZpD6VQXx8LP+QohAcm+89t3bu7eC0TXZgmosGtTH1fkGUU1DWBceuzPf2zXDsW1Lyi8sZmvptfvg84vQ+iJp3vz+KJpwTdqRti9LS8PWCdXLfa0H90UOumIgdafJXOMJrwXnjjZanV3Pn4x2E9ZWz2nUkkKYEMCv9msKBifUB+4R74M1+dVp14hURv4JV88ZRpLiEQtXtD7KKhfd/RVDpLQR3eBIJCFFACZlnnc8kiAp4+ELKHrk67eW7gg/HSqSE87uLiovwku3PZVISEqbelH9EjPingj0MzM3yZLnT1pjizPNz0DUbR6LWTxV17aERHkKmmVqvkgFn/FzQoF0GyCMLr0PqwnH1FdViyjAznedYkEphE0fFZ7/JsZ8HbYhFgsRBnHVKcS1gy0L5Ekq3PXX1KvEMIuC+2hdN/rsJr9saAGnRTleD9pWANjdt6J7ixfSpCEellfbhUkREYx/BY+kEXN66ofG/IHYbBzy1wfcz4I9g1ASrDHYzPngrDV4S94AIHvA3tM0rA2ZkYG7Qrl7dYLXADWsxKK8spdoG7I/jTkYy58VFiqAGPzfFhws2cQ8xmuVizb/OR8dH047RJhOY4QIE7m/rImoPMQ6AIXKwiEmNOj1fZlFMrD2Gu2IppIxBo5orEITD9WiH3pUZJErBpObVwOEE/aFvf/Y/hYCofZhU23RClR5oNSuWBdEYWKkSNcgBXSTtiB9gNEJz7kqcTVNKZUyrawmNJBQI9re8bVSICWIEd5CCHsFzpiGQgtyAj/kZuAuzCOYKwYDyHFlcc83jRp6dVnUkroNI79oVnBcqy6MRApgQkWShFFSJ6QNHOsvsCSlvVHrw1mD4diFz5XBZOo2janMSYj6eouV3yd6FQNUG9d6UbNX6Vy8FFsNg1Xfjp0Y+fcHU9Hl+un75UdY01F1t1zej1de8PPJ+6pX15QJQLIrkDO102U2G/gS3Z8VHnjx2Upfa0tIqCH0dx8cbj36pM31F9ReVvKKsJx2mtqlwN/0nYjq8xFz/G6b34dH7gniOlPZyQLKAaBVWzHyqqlyX0iYEwOnS90caggTgtt0uDU1sMNpViagFvGRQw6Yiygk/ol5+qyS2+mQS7qE9t7FLngkyDKM9QZ0mmhKg3FVZYlJOqBvrUvnR/1/0B/bE+/pvuX1/7UfgEPjUf2A/MjdcIsPp/3ln4hLbkUa6Sr5zduXdAkStsCX/yUbHa9cgs18VVHNiU5nmKU6XGwoSwOakql5UN1YGznJRVmipwcLJb9I76H9Hl/55fTIBo+46PZsPRUagyZ7iZOMfaaIDJs4zLjCHk8BtKxAwX3FyqW9jSUACrINuqCBkx8sfzxdoDYq1Rjr43zY5rYjl+XgSjEq0pcvPxTFNjiTtDB8dDpLWrwXPm9dxvn/z+Of/88fWv/u7nf/N//v19/WptjISquZBLSyBgq7EpgXXivgRsLWN69Sm7kwwJ1wQugYZRmvvfXacSaHgUkf+1Z7nzzLMyZrXZ8Qwq2aDT/o18J8EHx5IYoaiTx4MBYsddg9W7O+s8idv5eMvd8J026K47xInNapPph/dwHuRmdO1wQuF5Kl+7NIoJE1lDihGZwsGqRmIVbZfE0c7J/VYlHCxHAYwpqNI7BwYpb/goe0AtdthizIONHypW2N21kL8qfQLAN8z6d0bW5LMndL5rxx+FHpAIC/cczD3mU3JThchRUNC591xDwlROOqLEx8wMUn8EUN5sVJNsBcb2IleEjmR394Wi07ZMsR1SiM2DVy48hjktkPukebdAOPiTYCpiV+OMljp/OuVUTH4mcY3TB1xNnygL/97U7ruXyL3nmKQojCFpmtgt1XphW5vL4Mxr155L0qPCc40RQ045TazssPaVQMmB50aJrOMJflnoc+B5TBqrgabH2ZlK9pQ1JRMjX2ZSFXEZ0uhgbTiFtgIEjBFwSMBtGYhynAv51abR3zSX3ysgJrBFiEY59z5BoHnuECGbgGvTaCYFI1XiIQQSp3XWZi4647Cu3Aql0Fwb3ugtAtwDBlDDBVUzJY8lT3dv/xtWmME6fztz4Y6abT0HcQwcb4wfh81BUGk3ORByI2kqxvU5KJPKh/3S0WwwLObmD7LVF4YpE7QbuQwVc2A+tf9Jeq6DPu6ITkwDF+OHZCRcUnOta3kjIMkBkJDB9cx17+8CA+rByo18uSn0Vk6r5polBlyGmLyQ9efkQUOiW2Vphlq5ADS2o/CtqjNs7eOtoIumS1L9lxtNr+tSsbrTOO1JKlMke+40nQPrD+7vNTmo3EunMnfCV+yLa+eL3s+Y+LGU/AENr8dRjVTBuUpOw1JcAVMsw+439n2pygNw2LpkWyTWw85r8tdXr92rgK5x1QDWmgq8TjFM7QWwdq0ZxG70/8ACSw41q5EGGbpj5U/xeuCXL19+/qUfP/XjAkX1otVEgyN9fpuPz/383F1wJxQTjpjeZ+mbguP5z8b73D++nw2A8QYP8QcQso31/MW0E0o2tE9ZrpMfcRAbgPYC+nEg93ZeDOiJ81bI5A+fnVNgoU8P51VXK1eexRQcCdow4uyxQImcgYtvg5i+LeJzyf16mkRaSRB2xj1PiuRK+2Sq3ofZRbwnfdFxxW9CI01NNEVuINm4Gg002Pahgmx0op38Ppgb2ENECjfnufr20jfgW81vuv8499e6P+r1BG7gJQjjQFBf/CuYU7sNFHsaU50DnZi91+zB4pZ9SUcYLLSjWWqp0pImgnVVg2RVQ+Y1UZDGEISnSrhetJvX01DE3ZKT11DUWqRxHJEnBUxY7TTURujkg0bCjsAtFu6MjhvD/tFyHI28X0HueypWD5370/eLORHcmx3tFW2YjvD5V9ojLTtqe1eC7qVa+X0YY7q+GWs9K8HpAJ6n08t7b6kXGj9SaLafT33sfvy23//1k5f+7f/1b/sPt/YJPXg9/MOFAi6Aqoo1I9dt6j5eiqbc7WruNcqV3i60Q2iMikZMO14Zpk+ss3J17BmZZRrhdAlZwi7BMRpQxTomOBuGSs7Rd8CYgy+Y7AMV0/oRlsME2/StBqNxBImbIiwNWSayo+Cx3n6o/sk5llLBBKw9O29T4JVtXcYyreRwaqQ848rf0NKwZfuR28m952iUEjuznvJOI8sxUktwjqWrhEZsKT/qxjzOIwWqYq3mHDWJr16K6fejGPQdvj4A95RMBUDeYKdEZMrb96NEBBe08C5SE6TRDZoGCF1lfzML1iakCXP7Z+y7ek/gvbsZLjhhNLz3VrT2R4a8iSonTEVABqCFHS/USanhteC3viyagU+7pO0MlMuBb4V7EeB0Tvl0aKcbii0BjNLEh0An2lepFfy82rhlO8g8wNhSC66Tt3hkcJtTP7nGER2Qfl7u8Iz519GAwCPQhiRrrVnMHhr7f/3+jFUA2stP5Kwp5s5hmA9kJCij/VCqI7pjcmnrU2reOE4un3HVydPCKaNpN9kN8ViNgX1ZBshDWeF9qWmNIhNFugi0WNntosHd8a2K1JUZw3AAQvMmTo8Kc+N0PSGyJqhmOdj9geIrsSWWg8t8oFzWcNfiloILAB8zmxrSU2A22MHMWPkviapdOVl5T+YVo2Nx44iR2byzs5Q3WblcsioIUrVBEpHFB/igr+QdZCX7jSFYBN7SEIGKF4GT5tbNDuj5hKmQQCiTpQx7IPR3wFpfVmli/6SecVYD0kYTOKY3B0D6RXv9VVVz0VaXOuIuhmA3c7asu3I5rcOJQyqegMf3QGvy4Le5tpSDGrZiWGAr0uZj133hajpfwk/WWB2NdsVWqsgw3asglFUwEr9IRWyZY/BNWm56hNRHskXICILDrAkIUy0+qmlZfk1FJqfLfXCRjy/laQRccuGEI6F20D6vj5uHouMaMizGTQepxdS5WRbunxcOHyRWWxQfQlc9rv7py3X9jOvx03Xx8umFQssCx9dzXp/z+r7r7Z/rcVOTxgZwFuG5N877Ad41lNlEHVGe16/LX7O15XsiRzWqYrKI5sfvLiskkgH+QM+sjqR/UAHtFJ3x+YpWREQArtgAdAENtCLFISK/qUjl/gSMABAwL/F67mr8FKoRDGrPP1Q2Nw5PYgW/yyAejy/zTXLCriWE4XfT7b47tjAWP1qMrWGijeweKvUKgxZ6cRF1wZQriRq4IzQysP360P4G/bb3hz6/4/5YfM79uftcvaAbHv+yt/TKAyc4GSJhX2FZ1WaOJ9ARCZRuuE4u0QJLYZ0s2uJVXay6XEQWlUiRkkPEUl94fB5WxETZkypf7NOn8aBIu9L8uGaKbO3UIDAPAQ7eJ69ucolpbY9hZHsytDVwSEhy4g4l6xuEtYnePoe8hCYprnRzVJDnHBQErYdyulLcAdEsVC+aq/ZyVm2uPt0+wI2HY1acxTthrFA3F72UZkZTu/dzhnrhk5+/zX/77V/+7j/+7q//w8+v/az7d77jVGufnSVXKrQLsaTO+Ot5YYt0aZG/mJpPklPk1JJt1QbBWgjc12/sq1IS0BvDzaCaUga60Pg7F9QgDO4m+bb0lj6kN5Gw8HARklzhMuG0IQnCMstnO3Tb+ymVGZe1zW70nhBqvCeThrxng2MYZBfVJybFYB9hZWxAhpMh6u2UdTcAA28qqJsbFFljYkRjApFzDGUg/0elOxWHqWZEq+AYGWmdSAGAri19iTMzVCnREVUKNRB40kDz4F0WQ3lYARJoQYtKjqzdXIoHxTq/1H+5As5UwPhNwMUGsJWrTaedrwycuHika40UWns+KNP1uN8CN/M7Lc7Y8v7P7I9ql1FG+cwVmMvw23R/BoOZ25vb2x/BysxS2YS6OHAxcz++iTnfUKlf1zPmsEr7aL7O0K2fXH5JBixTKssXk2ZQANbWeD/ZCl9JQJagkLY1rJtD8zwxc0tb+74hvRDfk+yhsg6vYjYOBOsqxNCrIwYU0iLg8Vblsyka1t1QO656rRkx1lpoVjnHQlDXyZjFbv6DtOWZdV40mzZOWHC6UFQHTuMSt7vP2GmJ9xA4lk9rnQpXh7aSsCoIQxsvN6f/zikgsxnlFtfyzbeweCIyEmSoNfS1s9tW92Fz3Q5h3yxTqm6Cx8OrAHxk5jcerxgSt6B0YeuJIVbZ0YhCafL2etF9y83knQfCCACMaHmrOjGlYwMoglXdKWxbIN1zIoq2lMDNRMYALYdCMkvv/HTUuhMM6p6jF5YblNWpJFBsLtWAMgldEeeQsLeXi60RDBcHQfU18qgCqsqFv/Mmt+lBidlWaUJMUpFOzM3IGORiyCImnSwI0cZYAxiAhT3ZGy4yvBMQzV8Cibx6db6sn3aZ03jjG5T1Oy51tVA0i5m6Yr4At9FqX/fpNEaqBBy4c3b/ae3k5cMVu7vciyR/p/lpf62P1U116bpfS1zXi2pQDhdntAu5hgue7MMeH597GRjTgtvYaK1TkIu1ukrisnQ9+PhdXQ9hNNqXT22By9m9791v/fErnx97g+MZPiynUhlod5EOvTELGDQMlmWszNlOb/OAEQgQ23bdnKT/xtsJoJAI7+uxsKG5yiE/PMU0ZS8RNkKKk6vCM5UDzipLeA6pjjDyLely57CB6YTwcSkMohgXVj4dItfBURyJFq34mjM8knLfWmYnlkVWy9MwWHRUkaTFE0KRps1QAK4DtydqAoSTC3L0uEtpC90cIVop9HpxDR6zNcAXeDojF3c++Qjz2foV+JXza92/Pva3fn6v/cp5al6l4cxK0EA39rUlcQfLXY+kH58pzqSDJ7sILOeSuhQvdGE8I2dwaeYWav05IRauC9eF8lx0j0Fhy86iui2rSGuh81pM0clC6tJ1adlTJatjQfuksayTtcoLImtnc2xUIXHKTpE3TwwF0akDPVca0KpbxE3oKnWv8EryqVy2uG4BpBa3iry8F3mDHgHZKJFTtVu1vFVbnGaVam16Q2QU6/C+/z9Vf9dr2ZYlh2ERY6yT91ZVF4vNJpvddPPTFE1RoCiKAgXLgGEYfjBgCIIN2D/cb3wzQYESSVV134/MPGfvNUb4IWLuvCx2s2/lzcyz91pzjo+IGDFQQWwNvOjCbTsmPbX3Xe83fpwveP8N//Drnz8+/+of3n/rv/6V6u4bbKlX4M3iTWP/vN+0UXCsLM2AypBBI2iJWIFCnbWM+VjZtuBO3ajJdAxduKaWUNvfY5XZi4ZVz5EiGdqMAqNdv7ggPY4yOCgYjv++OYICqHL34sfi/EUCm7/lm1yb2KKynwyEWYUNKUfIC3wrP+3F7KJEdSZr/FUk8WkWhJ6+hIJaaVH36rjLlHtXA/fefJxL7S0e6qrMx73MZJ1va3iJ7DKMAzscs2B5LXuDxRW4c1TYrkSDkWSNA8LHeEYj6KOZqdScOaUAHBfahBpxKhiQ7bV7AsDdLeXnO62KOssaJm0C7PCa+RgnS4Am+MTOAcEegP3sS6EqEJ3JUAYvwvnh/rBOMS72k48pezRYaS5qW3v05haYmYQhGYBHkUujplqstUsubIh+qK/XvsXYcKmMtlh7zEx0VKym3fGijxbGiojWaS1SKLU/t0HvQIRiUJyOLYlCgiOV5bHa8RQDbb9opijoPtzaCWdTkhFNpQj6lpmP9tZ4PtaVoRPgoT4AFjgLodZrppGx58GZEmJs+MMxHF8BsHZgZWTo+s4OMybFwQSBQ0qnbNiDlwlLGzG4ND+DsEgFkMDgh9fuswTad8L1uE2csj5c2Zg7Q6mx2FpC2luLDDRJyNqYsl7iPP+0QA4NK2q04A1J3uXH16olP8DCq5bcXEhXBPbV2c6VpPUKRdJHBFIXb6/l2COgcNVpAsmNrX+mv1hu/27kop73WhU5gqARI5Ay5zR7ApkN9HCYAM/TnzE2Wetb2EWUoqKnt2Vrbc/iGG5wHnXRiJgelDr3okxj93bg/9OJlc/zLrZnyXWSPe2IKmtMbADoAKGOM4CVjC3CpLMCsS54SfULLwJizaCa0ck1PGrG4FSBNXj2BgzSgR6+6XC5LltLAL0ozKwNXhOuKb3cf+UjLNHE2VQut4F1oJv17KuGI6rYfGN3c1ji8957IM16mNG0jM4ca9SUyyqvO+a6bJWt5xoQVcLsTcvY5Fepla7m9TbXJ1zXJRI9VReo6ypH9/tRzy/18fnx+HJrwZ2sxnFLGUT69Z9QR3IWKoF3GqijFWOVAyQOa+AY6bhxLl3IZsS9mbXtjntPaZTczqyYwgIrssEqU96JnVbbI6Rt7AqOcsmX0zOoBLDHZyucWNxxLY/GGh9KwvXf738w8YmFhhjA4qI6/Uzl2LlJ9IVK93rqfeColerV7eDknqMXWnBeLCHk8QYIvnyujY/EyHmTiPeo4MW76AauyKLGC+MW92p2Hg++a9/veUhfdT/2+b772HncGNyrjFVy9zZnEaKxq/0cFt1bNQsWCzvSjVrUPrWDCS3YVSLxqYNAWAfcwbbr6moXMwXjzL5x1mBvRBH0DyzpklsOU7AsTO9tUtfJiVhP/Q+45V1FZnaPex5W3V7mLGKOZWlewTnAu7QzFq8Ieg0gswuW4pey1aoNW2nhLfDrNTUZR3E1o2JL7TUmuInljVmOOPN04k7pBDrncEmsJyAwfuPDEla8F4956smvX/fL16+q59//p3/+9rvrLl3zHVhoXeRF6lKZp0GTzqwGjoBFXS6CCc+zk8VqdAozcC2tl7QaYX8xR5wUKRxb8MN1z+JFkIu75lG+3aSdvbGB2zIiB2RN2qvxywXikKyNXXhieq6A/KCxpCvejYgTZvZ3nOOUy57KyJd5rco6VUqRPXRv6f6HgLr9wi0Qj1qghfY/+iV7EjL7q5fH8NUfgiynlRdYacWUgxNK8BpEg0aEGNlB0ZHe5gBPBOLdSG2yiURIbi6gssu6sK2lUEeDbxje40R8nTT7JRJ1JrYyvuZ+7KAT/mfDiQQ42GRLCTZzl4Vl62aQ8nYSAp6VcIyT76GZ18Viuf7liCSKWxEmUbzuSkhnxbNLAMmGM1sRpW3h0I0Hvidhmm1fmo9CcVEre5opLZEL5jDK7iask3ElC6XdzNLUygtMvc9i+UY4fp/oTkZvRUPlpM2DiiA3wk1tFWmrHW276vyFqq02I5mrjeQux4+jjfLFPiTyXUofCx8wRuZu6xgLDSk22qTKyi4yno2xNpEeS8S9kse8XOGYloHkZe+6Z48uMIWXpU5OnpXLRxFtAAB0dDYlt26DDdTTtaYKDuImtJD+b73uwXU7dtejtQrhFCHw+nhlkXYAe0qjtbexbYO6omgzb7CQVN446KbNrbAArfZewnPAGv9YnCYLdOpRYjRz1E0IGI6H7Rp9rejXcWINqzhXnArF8layPaXOAtI4rRtG9XxYMAX3ocOBVosxJZ6pACuUN/WAl8Ea0rH+LBZUh1XMjzRFuxRLr4qEoDAuAheDe/OcR/ZxMteRIczCHh7HUg5t0mYmmBm1dBEZHzfAaw2vDRCCsDBLQ3JNX3OBWGXYx0iPTltrHtAhxmAwg5GkpYpgwRHHYJLOq7GDM07/jDwPQGCXDqcWJtA/1NeMWf8CYTe+LLIuR0TxZZcBrxZYOhxogS2hG3wr1qcSd+bGPfO8y6hFuHq/VWDrQoTGKOhWms+AcyvKq+l9RWtb3oxT28Ba7dLst+/e3qrs7IyCS84bZN035us+fprPn2fvBhsieKGIFZ4b964UsN8wJUvG0hklFJq5e1G8Cv5Nxc/JooTTQsB4VIXD8+Nz0b5FUuzSt4lCoOOnH4WrgxR/geDj3DqTmdGH2jqqjty1iJfQVQcb819HxOQgg5Amw7SnCEHyhYZYI6Q3QOzgF/Svw+qrNIKjQhYyCBhYZeWkCTNphzU+iQYcgYkrBv5styyjUwcNrX5JBdCt9glO93oMiM5A1YN8x+N95gvur5gH+OB81D5hrAK3xkQNrvWNyws33q8VS3ucpTRzi4XuAUqtQV9CXeyeqkxqRi/nfqT6Kn7Xl9mlAqE2HQyJuOylT7HJWpeonLpeQ6qGWQ+TbVI3D7q8XRbDxXKEFVk2m9+IJiALLexbr2WZlHcOtICB2C1kRZKLtLLJBLkWmwOS5vR/36A4OC18s4undrJPAORFfZv1aJ1iNPyp3DiiF+WB2VKPIA059nPfwYPvD2n45eeP9+cf/nf/6K//jX/81z7fX3q/c27daaEbl0rVUhYg4PTiaxUIOAUEOLo9cv/CXEWckilZVrEfWIzBPS+LS1UFI6naWixsIUXt1t4cz5DvDDwxSA3uleBWvu0fRJ4yKOO4kqZgBdJhupLltDJEgmLZuhAHB8RNuV5YDAoWd9nogEObl9nFwjjRLgBbTKWmcqgbiR0EBCV6v7JnKQyZyfoJRsfp109SbSInln+nYBKBitJKSI12jCYPjHVsEjbJPYS0w5cn7T0PlcpzkJkZT2RX/KKPojVEif95RVpaJEJachg2wcNeVLGSRV2JQbVLj8AUWBbcSN6ibBC8LNUo3wYz0JsI5SFlG4LraHODwnvElIfkXGjMZIPaKY0rOnfvepW+p+qJz0iHh3VecE6UcPCnqpDUvtKBVkKtWJAeGgkvnz/PUCjU1Om9RIMXOLKAgIGO87SyItQvAGA8kOS7sbEkyvbm1N06W47wCnByNVECUZfAIb25imdfqFy+gs7U4rYCZruQM5WFsQwSnmlxQ7Fa0VJhs9ycxdI8E8dXBq5FT5LXULzRRdtFGyjZFWwclvbwoGvZ3Ll4YZEprnZBNhZXuvg06IWTCxUxBy+X5sIpLoqbCSQSC1MjmtuPLSca4JZ4inulihJco6eZrqDI/osW67FTf8wYqcNvwUSD9R6AowfI0nVg9NhRYttWiARoZ5MJOV0OtCio9GlBVIUtsjWh5MLQ3bfHbkjTLkpv4W9SJ0xwE4SLnkbAue+gbSNfYs/MSai220NNjGYpFV2IH6K0yBQL4yatQtut1yusXUkL/j1nK68IsFqAPQ3Tr2iC9RbYIlDsQmEVfxeainZMpWwoZCet1cvNk3STmehyZPkG2sJUetAn5afHnBWdtnAu5PmkRj/OyfLTrtd8ACGtV0KGyACruuTpvNKaibQsOppRFcE+3COasPikeTWriW5usa+uXqGXb9fb99919/O+nx/qjLLrDTAUc4Tu90a7WgUqXjiRDfh8yrUYeChlEyyXVAXVhberfvWp+VZsQz68rOdlrfZ+6PGOLz8+5+PpG3nur4F53xonrYPr2yDGDHB7iuIMrRVSkvpp5/dXQDNGfJnD3F4TBlThKit8CpltfU1mIC6chgDzXsTbrYRzeK6GfqEscEWf9Law+ZODpJOWItfHujKy8aNRiJJoB2GtgoGFtFQIh7Qml1dvpGqvTfVf34w4cApUX5tvv+7Mn2sbyOnUU8iBNEmDNDzH0CU3wz1i/kGKlCgd98Zg1M9HsHBISzyhx+Lz7mc8v1y6r/3Q8yE9h5LcUNzbRYq+ualhnLkNlRIFvLGOs8wMG9Qs+irx2lupJSXd3B2DzyTUqrfqNzbYi16vPQeUCapygpSBQjbhgl2aQ6xaiukHa3RExwntpHAgSzuEybTpKUIILywQ7N+XAKvxhmTEOs0+lpl4EnLlKiohdQqgg+K+BgQwSlzyufd07IuysQmILNdhCV2Y3oBFgY+3dwc7VmAH4yCn7huPfTyX8+X5h7/68fvfXv/gn/8Zf/NYvL/d3XhDCT2AWt2No1SAiqpFN9parWIyTjTSBcs1k9rkRiHWhqcH5HKOV4RN9z1n51a75GECT4sYhRMwuwNQhq8Opg2s13IGvj04l3FCrGOvs41oTZJrslUUu/qGcAeN0B4gFim2vDLOlZ+1BkysQJTlR5kubWg5x5XL6QHM2ATLA/4uXTL4SB1ZhJdB6iXap4cvSJbfIQ90FlbMzUgBx3Nfad/dPXio2AEy42XJ2JkyOApXAxc26zCf464YzFqBg9bzqFYaQgPq9FJ4EQOWuAELdBk1c8GcgeYxmw+ZIjJwMKzVLWzMw83rQtLNb71ZIwsnrGutNEIitsWMiQUlqcs2CabZ11ZT4irmcEbiheWgLEeS59SYeXd43dICvIDTp4eZSEtX9tU2x/OSNyhv7mWf6k7jeMHQMdz/pDAGIXogmbOrouIjTEQ1C9pGvc4MpYRYz/vvdfvmBmNdip2r766zBM+HGm8qsjQQyuLp5CRXygxam+yxR1SDlQY7+9yVC3dK2qBFl8TYvkxg/l1tFrhmNtAiPR4bnnNz5SbFpu6BSJ3NdM6usEqLtzD2bFLOQxQpfU6NY8QLbrxCmKfPl1bpVmwThkMme2jMqcYP6iAYvu7WjbHiD2b/7w0R5AyfChVLd/YbB4+cVxPFvnjuyTYhXszNdHHiOSRPra1IlfHCJcThEbEDPBW3KSRXMzTam5U8L0QpwECAQhZbsWE3zFAuiJlI4eNDqhOpXet+UyHUwqzlqjSHwfCRLUDZnJ3JciOULjzcpJjIgYZ18hxdKnfCsHJCNvMiqSZfw/Iej30xtfB0quSaHYfm2Ncp9iNaetrBkQYB+Ixm6GyJ+kUX6LE0d/z0nJgQB4fNEz6PNhYFPt9QnEhALCNFMVnHgDxLfRPqcEC7Trs2uNfzb73aY4LUW7++9tolH/N4bIFb2sdoa/McMGr6ajUWWDdz3KW6T1SR/eYt02bqqDbNxWWh3rpbXcQur6KFY1K/caaen/f9B+j9pr5L2xRLCvucmmA0ieyNw8R2emk/FW2mvgIkKXC40Wgc/3sJGjZObiqwM4AbxxsBuzWgoiUwV+TV30VL2KxbSJI/nC38DhenPO1QQ7k1r1L8FIkbwsylJIIfJfRV0qNxFO9RcXwh1Fok+REY8wwRQGOeVrzDISnihcIShOOA78RpTEN0IvkD5zm46SlMIoqjioGqA1alrgsZd24bQPaiPGocViyUyL1A8dbeOx+cr6ufVp+xHz3v/Rw+Bd3CWD4vCDt2ydsq1BYEjtEurgdYrVFlLbSdhgCrT2hMzfZ9E9BMz6LqAutN9dbXdbmgIq+mOmetpBUHZvVXpapxwSyoaj2U6hXk6pLg3cQe+twVhdsydyC7FH0WToAUtCYSxp9cG6RGSF2yaBRibZkaiCIb65+IvVHGLY9dmEFrgNWpB0WE53XIXFH8lkoLZFOzXKpta/7CXo0ppfgdAVO1Y/SkP56P533Po+ZHffn48R/+iz/9o79/f8xP3d9dfVXdWxr28tracoqI9IQltisHlVGoXlUpG72dKmwPgDs6FoMT2dNLnRisZF7Gjma9LCBhfMadmY5kh6kZhS2nk2RRazSYptx8K+1XPYnbOpiyi5vLr+oQbCdQHdOPFcTaAtIjEuCNMOBLCLUnyB+hhUnt0kF/l7iVuRPz9ziSAUMeAs6wIpFpFD8ql1TyBjhnIFfVDpKunouhpEO5wYCWCthTay5eWV9O9iG2cUq7l84wJJSDUlp2Y2iK+0jgYKY4ihCHxT5GB1J79cMmZWJBbzTdO4g4DTIQJyuCUfsSrP2FuwhQZB96IfoskIjQwF0kAaJjDWt9BWy0mvALgZ0NKSBwy5mPUYxlUJgGa4QXQqTOdkvXW1DEA6ahXbOmVDwdn4tuxhpxuaJLvdOOApnaVmKKdyI7O+q8BgjrDTuwkh/ka3FXcVzveuNc+hJWKV5Na47apb7qF9KA0ql4srzguNno5DdXtuZbkiaOrsIqDwKRAG3hHu22dveeAiM42mFdgkBptWNVmnY0MhEmd1eTBai1/xmBoaLB/3n1Wgc/or1XaA7erRTzr+S5PjMMlGvpdBo52XX+kdBW+X01aitjfSQVqsj0IiwRQOqYVIU+FQC9ltziHU+zlN/w+gOtYkt6Tm8eNHHqTiPvqVjyMn3BXYUYt6axbdFiZpcsvcnLou5DtEdW6OdVpFRXERaxGwkx5TDCGUzS0VJXGlvflEqlzugdfZXKgDrjvpuCwQ5nLdB+S0L1qeUYltNAX0x9fNZOBCHAy5fuiDyMg8vDNrUJfS8AxNevXHLrl29pLVPjvnAS1z8K4lqu06wWkcu3Slh5oXF6DT2bgbAZmKNmoifogAonfqPex8iSlM+9/1rHF0esdLQlORSkwnO83s1kowEEjbjj4SdR2m33I/z067ff/o23/e45Kz3fTMGvGv3WGOP8EvpO81xqLI/zXrkprzG7awN4dFGYtm9dLVnF+vQd396kT0aDLntsdrG67+d+/vzx/uV+fH6fvTy+79UOSFZx32OPKEd1S3EGyeZAJS+9SmzAajASSv0abznfM+S4ujlmEeSb5+kOMG+Y9SJdkzEsbbTyuTYMsB04HOjy2mDiFyB6bQXJNaMAy0FP8X26KAQs8C9uyK2Lzu6tE942BkwBgTa6Lxw5Md9iF3KiIcpI5W3RHuABg0NOhQCspFbbd7iyz8DLYQiY3jiUMgA8gVXb7YWAd4pZlbEAcBmod3sQUvncgcasHpqPff6899faD8wDuAtPPYHd4UHE7K0u0/D+6Tfjm96kOAzGZKHGW/Hi3sDjoffPjy8/zPvnncd97963Wbxmq9+q3+wDZBcWVzoEs/OnhmUuN1/RcdsA1bJG2FF6wJhmMBCZrAGwI8ziqblnx/iAXHL6ahuYog3jIuP0f3dFX7TEtGjVF4wwsq/UHFZeAAaSnIY6Y+H+Mv6NFiZzy+VVWXpk/3JGj7g1NW5kjX6ML8sVCEyQ3uaDg33Mxz3X/Pz9D+8//+bv3n/7//CbvcSP76g3XU9we/tiT5/y8G0d7BZr9ttCB9d39GBGrwsIsC7gYlnJx1VqvEWWGIRqUY6nKyjxYFI09Gwk0m5CnvTxrtsQiizrq2RhsgOO5LW4Om2xIA13uZLNvUe7YQb8bJleOyyCezzB+64luzG4X5HZq9StG8DbYfUk9+R+X+PRnS5hrZJDEAQU1PEsdUWI9fTI8bGaqqK+SUkcfM8Yb4azwTLD7G+Sap2u9YLc+4t60lq7R8ywCEu+eRNnJRh1ROICIn/y5MApfiWgKgDEQvDqt8OcMAnSb3bX09UHHkNB+6IhAGTgXOvxg7NOTl4uRER2ZiFGMEmLZBEbJv9K5tTlVrnBl+ueHQqLLGV0C4cAlquM/KCczyA6RVLTwRUtezkaoEwgIBpLAS67STSoDpAKmCQB9JJpLA6PILUdGaW7U40ligyOFbBFJYJzj7UmBdnu0edD2RQduDLcIQAtizsSsuUN8ipkL+DzNxCxHtlzMek5xNBtSI8a4017VsyxVl/svdiqeHpq04JnpayoyVEtgtuujje7cw1PWlcm+D2VRLsRrs3VuOfoiJ7bCSHiIIkqbaw+ZLF0hVHP9YfrTpproI+ni5J9jTmYfU9N6oLfhMV6DL0puyQ6Frts3xQlG8w+WZbyASzGmRhipssjWAJlpYf9942Fuuprl5XOIoTGzgSMZl5eI1pg2VNTTEMNY/BlYy55bqIUR6AK8IDbf5F5m5THnnkw7q6wYmtKZF/HWGgg0zCA7Efi+mUBFW9mkV7wXU/syjfTGKav1mloMzRTADV27RA2Bz/OjEfvcHB6XyBHF0NkZDwMHJVAesrVD8kSer7+wNJUYjCbKLRe9GhYwMAAAFUe43BQ5mIQx8JDqqRRAACPlJOM/4yzCUm4jkwsLjD6R0oZaS1bGUbJG5ij0o8PoCI7mm5sf6dPv67iB27Ns1bEDve+REWeY5QuJd2upmux1VxNLfZ2eVlajxmZ8qJUWQTsHWNX4W0ZNfB04JcC+n7XfMbH59k70YY6yiibNqCxB57HUf4AZOEi+LCfFkwduwRLChq4EbwkAlcHUbqOKtaCBPqZepybqMLV7OJB5PMI4bEI9+/m/5hT6s/rvby4XawcWx5pbwiHc7G9BiK0Ts+AQ2SfQyR66k0EbPGaFagpx90+ijcwbmZNkfBmNnEEcDxZTY0tVLMEXNCk4jTK473kEgICOrwU3DxdqasMZDI4YIWoOXYKr+2S+WsbHgYN2+ZiR+eInx4CVRjuY/bHez/f+iq9X/vQPuCvbm66F9h4vym7lchqWiCyenZgyvUq2pqd+15+/Xz/9L89f/6fv379D/vxh33/mfOOuXdn7eXDYr01PrGwzRbZfKtqeRELxsa3DnMw2Siy2nTrDlJZ+Y2gtaMteb/A1lhZrzLP7PfC3bVT1dq5E9gJuXeGxn7xu1QKKT8SWaooaM3pesPYMdyT05fnfmBTLO7yKSzRuNxIMNP5sQv1/IhAlmoMD/Ew4SWpB9td2t2axV3CPXtj5vG299uPf/nDx/c//cW/+OO3X0M30LVvpbf5BIvsBrxw6ol2FgvgW6wqO/0VCltioy7UZfCgys0ar4o7R1Kv0dloAPQLft3WFkSeDptFNXVd1U1W7AZdB1LqrrJzWUhoglWrkYf/hHEhddR+Hm9z9QynCsDhVb/Y7O0kHmTUn82gnLjY1cQy1LEV44HrQw/5m70AqAxwHzYj4SJl1wanF2RId1JBQBu0wYtEQHueHqRrRBw4yoqNeNu4D/IeBkJeDwcouhvUkeAFH4+sZz20IHflDOmegtMFcR1sIUqcg2b533bLJqQoTCFCHmdHC56DmVAiMVOvz+DOgcUqaFUXXF+5SBS9HuP0jFaIEWrqsAF89ZSOw7wpvfo55/NY5ChyU6YCVlAxgzkuxMaP2DrsBgsUVdWtuNCRI6NFL9c8HxQq1W1SSN69kWHrpTeLAAg/ZmP0bcrRfdFRKpzeIh1lr62jtFhpR0dC6OAhHZN8Vx9uUtcFCA98U71ncYuDuW1B/Az8GlIO8kxg/CLpeY+sZqXlQh4tXoNrrwhYpHa5u/furEryNoZMz1halbbZ+YSEZ3g3w3ywSKMy3RfcgFLLlVskBJLXIhmVLlo2+HoBCMjslYNSNJXt50ZsVcY5ac4WdThzWtzitLfe4m10EkJNOgUjAC6AfKkTDErpdlD0MOICt+KiTJSb17IEURm0pbyymqdCqSl6X9eWga4sWRvL76Q5c5ECwAHHm8XK058VBMkNkQo1pku+9VAH9S7ZcVMbciC+8Qs4LrjH7woPcVww06WHeEoYotBll41MhILa06y4bxEnjmenMtp26aNZxOcBr2yaNtBz8x5jcPJc114GgNAxDbYw0l1dFXAmNeCbZj82A5v+myzPIegrTKTyy/C4b7n/IE99dAqjdBx0Kbv6VmdmbfPa3MZwdOWhuRVKpTUGfDy+cP7WfS6bNsJtXU3obd7++O3773vvvZ9Pfb3xmAX05vE5j+tHjl9oD52UtqrmXm776EBtEdIaA4PsLQGOG9p6Y78hZnN283p7glzej3ve3/fx085X2fIbFfoHILBpb/tFfQKovDMr5KoDfAHHcszoIF6UdYBMl0Rdp/D2kTLMldI1XuMrlGQS02gMX12W/7qCgDZOR/eIB8WvZKo6KICpMAnfLkt+dF74nKzPjcwAyKc9vI2PJbKHvHITZNufI823WVv5LoSgsDlTFIt3Ujp45WuOYvxoZSuOjlkvc6oyzuGf4MEeKIT2f9ZEl4UpTKPipE+iZEoEXF70BmX/GRwkTgRuzk/P+az9vPxaGu37Pm5pBOImuq8arOyySXBGo7VhzcIwzxZqRgL23rcvv9dP/zP/8t88fvo3zx/+f59/+nf31/917p+oJz/meT9XIht1qbumMUxq3d3qt74qgjKfFgvsfEggYbCZy7WRgFRzz6n2imsVFwiMjeFXpdLAZau868IksyuSskUGZ3YBVi+hghkxsxKzoorfZmpp9Yj2zJyBgiZjnlnRU2zvEPM7AUi0f/dsIFM1Z/bJA8zIrt2G4BaoXc/aFNHzrME8btzvz/2C98d8fv78j/6rP/3jf/THTzzenh8XdOmaXCCxxLYFRUWgCKFZZYto8SrQv6cHGo04LBXWpBrllY7dTUdh8ih1bYRVtDVd0TtJUVVvYK1I+wmItkpledjn7W0rfwV16uEgmcDSzjC+HbxvwW39xk+/eNhao0MagebgOWex36LAdrQyUDi8/Zplex8kk9A+186jSJODEI0bNoeotj2awtpF7+If7MlgdeQZrMpA+yZ/Lg3myacmTuIFIozReqKNUG1JVfmkONnGE3xLyrJEKyHZ4SNy/4+P9oHauJDpdi9ii1hFcTg+1O7tag3cVY2VF0vMvadnPexYPpMbnXC57qBXUpXG84IvINdKC/L0BcZSKZSNg7Rpb5Q7AtULcNnVFhknbiH7SYPHMf2W23iX9TCREjGdRXqGV9ayp6W0FTcIHR1Fcrb/kI7zhTsMLmDMI/nqBRYJ5tE4RXbUUS7+jEVOSNumHWM93GyvM0usC+DUa7TS4rXkO+k8N+efgmzNc+qbFUfRxYAcuAy3MEDlsfL0SgCI9qo7z6j5K2xR3BmbPQuS7sAqhSqo7zv2Tjcxxdt3gJD78ArkK3I2lTIyWTB+dqcsd0bNXL9Kax7O1YIcRRH1TzG8tY75htPkbH48ILSwpW1TYlI7jVYV2YAN2JIGXZktNi6WNmdUGygi0VwUyWSggwKcoQZ/Mvcb8B4ekQX72hSIFspG71gWm+oS/MqdfQIvEIbRJv1s0G/DkHXS+0qBSRFF6rcK+jXqIeKCPPjDU4TJ7rYihqPGN3ajGC0yjbXlFmc+eM+VMnye9Xka5TAjqFuZYDHjjeELRvfMgDvQ2cvKncZ5mJKdFmAptWXyMbRBZhjP1socKYeoCVvjsLE0O+JPlzV+rpwlHKJXyJWtSMN9goA+s8Su/1zE55EjfY47smWhAnSLlOU5AQ4iqnvdeBA2qcxOyNIOwX7gedf2XtcUWfp+fvXXrvfR/fh0D5+UyIvlUZ7OmKyTAteWYSNm/IqY2XdbOu9Tqx0AvfHwu822VbHmItmsqgLrRqnmLncoz8c8vtwfn7XL2k9nWLyiZXer5cxVk5jdjS50IS3vK6p4gQYOFkuDi/5TMCytI5pv20XY4oR468TdS+hjDFmsrvBkBzEjvs0f4UXHe5WNr2fkvlkA47oftqcyVoLjqT+AjYDZ4TfWgq9oyXJZX82hP4IWGoyZtT0ATx2LZWHqW1FuI4DU4hsdjpF791eOycuXYNfoI/Klks4ha5YFNNS4DlqhN7xaKccfvDSickF2/u2cW7C4oAt4e6EBJi9Xy+fHc+69n1hdQtOuqoOaTHZkVEmldF4qEN3FIms5o9o37vLxV8+f/u38/v/79cu/fbz/Ae+/x+d/Pz/8+/vH//D8+uOzHtdzcQNSlZrN6yoE7+hqADuE0N50ogBoxAQ8Stup1Yj28gCrKGHGay9CAe1kAUujgJcew0Kxkds2X/oNRlZ5LyI0RtWqAszEB7UZqXJU4EPcA05pd8Savd1A0zbPFNlspl7aygWKHhaQbrVHXYK5uhosdg9NcHOvmsXovt9uTM29z5mvvc+nfvqPP/7qt2//xb/6219/+8OXS+Rv6mp92mcPu33oGkCJfQFvpTJWZ4SVuNuwbE2hmqYGIuXxpE6LVUPIDhZm9KpNqnp12YJslhCrCS+qvkoodQWK6tIbu/uqwlV8I7q2yu5eFZ54l0PdtX73nsooV0iM84Tgl7ueUa7LYX5NLVrxM5DX3Pk1M5NEamh7yNvuNdYuoDDEYA1GuqAK+qJYCc0SpYYaHutCbDJePP7p3oNnyJNxsus3sGwBq1q0RuHyUj6ffQlS6XL6k7zKzkgAo7lXgA5xuZY+XY4GpVJmUSy2qNgJKa0NVy+TVKIq9OZCkfhEOn6aiGVf33L+mvKwUVzgMShaHB2ozjMMB7mDnbMkQdmFmfEeFzfXaePc/2GMxcRsyCxJaQwAHq7DtzukgWX67STRVi8piJaAYtTMlGoxMv9f0Gqrlv7p5Zh2HP7sS0K/4Cyhy6CLmwlLvui9ZSyv79lMHQhO16TYkQRYA6jytHH2vYU6J3pda7UEtLViYU1cA2bI9AzzREJ7RFvfMDdyWW4hnFHqBYSyFJKHR4BrdO1K94BFXeMNc7I/H2N8caJ/8lLmyb3lgPmLXGgbood4b9DR6mUWGgWlct/orkWCkOvPb/8HQQXSChlSd2E5iEQXSbZ+bsUyxgzJftPmQKiNSJVV1jUIa53BMlYC0Fhq4vRaC5gkpmFyVAX0Iw1RC9ytsI4ZqI0PosHkKvpnmRkTq7rMhJIGomH1GiTyciflr8UmWVQ1qSOXSG2VqjgQg3VQu0jRRvAYZsHqK6IOnSKYTw8XQs+VWFeVYwumwFlZz5qrBgcMwPwdsWzoTXBHGlRE2GJmzovtqXGVUJWD5Ol2WP9gIZkV7gWj/CZZtbJSXHIpTmdNEZ7e3NNNCQA3+4BStrUHJdxfy5pTs4P8dqJ8qjJuFTD0VLEvqhRHk71Bh9J4SIG6IYNkFMQ2XUvZLcgvoehN0A2Uatnb3/d3v/1VXeLu8/15P+4i71229UJVWpIbfYuBXLEXYEuzKmyDEi6o7LrTafXd/rVbik9ikaaEKZC3X+/0/Y73H5/zWE0tJY5vL8qnfwFneOJcSl8XqNIu1SnMXegfiBwl9BkL0umqjLt3UhcRVEj2GuqCzVcbtNTjtPvuTftyuMER2FRULmMkifBJZ/64BTA8tfuuMHNWUytrvKjSfvuC+AaTQEB4BaP+BdL6iWgAKqBGvqDugFdkVn2ZL4U38vKU/gfSRp+HY5KLRxpqemGDPSa0L1CeWjyNFi17CAzlQNwmoxdVGJ2T7g9/XAMNtDDiMhRQw7qwyw/pZ+z77gd7SPQ+VpM5OLNSTAuFQnEyFYAlhtBanPH4eX78tx//6d/89P6XO8/vNJ80NV/n/fePn/7d55/+l/n6g/Thu1j1qT5Vd6Oq0OazgutaKtaHbXYLoPMcBY++e59N7XN3R0PIpvV7ywmpbHx1R0XUtnVP7YtYRDB4Fo0iuQxPulWUEDqoN7AqvVRp1m/AylsNpBuEcEEqNdmLX66s2CC0JFbbpZm0+8M4WriBbJy0zVoOMdWCrJFC3U/eAgZ4zPvXx09ffv67/+o3v/oLPJ4fb/NWjxLuu4H95MIQVutgwZFlZobHGdbM2acomxZptyFPrHURzWZdxFXTUSfYy57GYXzWjWVZfeM0VEC7RBCy+Tkqh3Id0WRT7gH8IzwSGRMcZbEe7wXRVSb/03wLFVeUXbcw9nWkR0N8Wel8IWJUu3UU6iCyhEugPYkdTRLc6Le+imrqZA97KyzKY4OG9qM6cYwqeV+sKRajJ2lQlNXR/m/ZX/etsHJEdb1eZLHGvCmT0iHRvpapKb1Wda2cWKxdPYhQ4L4uDSAGEcDr9YgmwipgQfkyAHZhNul2VK27FW0UlGR76g4y6TEJWx7LreBBMGjq/8Nom8d3DHI0xtbpONBUh06xi0kBXULsehOrkyL8An0IzSgplWgidOlM90DaYwpgEpjxm1JdRwl9mHvHD1Tkx1G70M/G+fhA0MTLtT51EmHVTe3htS1jka9LrSU7xg4rpbCfhj3tvQIsiKghAaUdUQXfouSBEGverN6xcb1xm2/VjPBCSU+RxLNnMXUTYk63S+mUg1HlidImM0k5+iFjy96ItmZzlW2YLXvFBJKeu0hUNSLmpYMKgBr+xdInSzaIME5HM3xaYMDkuB9iaSTNuGcvovjysnTp+vrSOGI9CzE1ZpyOVA4xd5GDlIzienW2+13/CJCOdAXUuNyIDtpx3RPepiDXjbU/tSQMByW+Jlkqxbo4lproqMtSy3MoeD3ASzAhTApzD+YBoBzWjCgAog0F6LI1nUKcwDzTBJhnPVJ4BeqLUCddl2B60TZJyzOexgxZncdllNBtMZBu05iFpjMMVgvWcX1jkeOQ801DBGW4vzJe70bZaWXpE+iL5g76jJfyNcVri6N6UTi2f1tjh263N3Wbf4fhAdLEzutpnEbA+7oZyJlSZlR0RoFOHK+R98gG/AgmEz4GAm4QaH73q7frInsGi2f31N6rSAJuEVLNqQotSCKx8Z8hxiAOyBogOqi1w+XLS5zd0tXXVZlmKsxOq/e+n1/1+Hx/vEdJqwK2oQ0RzmDhLlpA7y10OS36a9pFMT8sQyqHwvKF6VSoENjfxrSI+HprzlBVGNpx9OwVj/TS+Q5ag+sW4uV4+jZMsDbXdQOZH/O0Zt7+mgqIIzFh7QZlYMN8ZeJFFDs4+FYBXgwf8CEz54EHJZwJkPQPKZcT187v50EZ/f1xTkhh63XgyFd7kHSM8VUVMIQ9VXH4XPMb37grWqNPou3sEhtQ1OJqXITHMMsA6ibNZWat8Kz7Y+4P3u9738E3sI3mzpam3P86dY4dZCytO5jCpXrWT/9p/+rfPe6fh+TyKWCke7n3fPy0P/8vH1/+MPMeyywW8D2vt+uqumgnYW+kwoHaTP0z80BUede4h0YFrOZ+oAnPhsp3o2qkoQeALJiFoL39QBJOnF4sB2y0AHWVgRkGFFzUPQ59SoK7Xo2B7jGUt1EH+Ci/rJYJY1XOpgBVXeUlP+VJA1aHxvQyXY1BWksJd4iyYDHAyHPAmbued329H4/HO/e759f+qx9++M2f8R/+n/7683rX+/el71Aq3nzEe9Hl5IYJeRU6HrJ0e2sUzVFwK3rdINdGUFn2OhbbqRHVW7HWJFncOc2ViiQ3lpHritRjNaRn/+0ZQ7kgvqAuQHNdBO56Kb03V56ZCPDIXhgVROyQOSBj767c5b3pSkudtT0BKg5cFaHlbqb1kd/kinuxpylQov3KNl/M3Uv1HlweeFl7uD0gj1oDQibTXWlWOVSovilsDgZRSVUQaiIGN47hzHtqTz+YYz/lcLCqb0OUsg/PFP1ZUmuN5JVeBMEJGGfbR6s8zwUkyXFZlD7EFLnf7wnfEZv53Cul5Z6PSTiZKGkFMOSrsM6b2rCrQHrT35TbYT9AzZxmxIWRXTccFNakfGqItEmQyuMHtPtgqBB/Rmtssp0ZHnPWkbUgTDAcy4P1vYJ36ifHYHKPJQoTl9YdhmlglVQemHZFmPlcZ82FbG+k1DOVIRdYV5dz30fYnOrf5borJRd1ipclgkJv+rdCZWE73BeGzVynRuv5LKWGy1Hz1Dr0eRusLnsXed+e6bF8DFXTfmmuws4USVwnEubr+ICkkmSgoQABAABJREFUHPdCogzCOdUfhO+85wQ8T226RvZlR34PvBUBFy0/lAxz7mG93CosX0eirElUBjx8USd/Y31jHowXO/yLgoeAXABlcj1Os+hvi7oA2lZuKZBDjNH4aJ2XhaIda9hOQWxzjzoGxrkIXE81ViVuusAuYr/5HG/Okc5HVpIOS/BiEC1ZS8xE6AL/JoJ9MSPO9UIaj2zBX1HHhqTCsQBWxCCgf4w7gIwSezFS3CpWC29vi2LPPRXyAPynVBmq9UfwrTkCD88Fn9uUGo1t6sJjBFbSpUe8iCLGgv3X+8Ue1xcn0MD4ZISQLqAp+XIePHUl2mwkgZ1GptzIGCAqVjBBtxWqIz03Pnil5jNvHO04Wbp+fdX34Nvc7/t8f8wtGSZs3hv6umH27jgV01I9QIVd2+3G786VnO1uXL2TF3R1fyp0WVbjYqd2F/fez/34efcBeN9CDSqLlENkw+Pf6Y6ktSm+wy76pjkbnGDlq2t6wf+xE6Uphd66qAso4MJrSbD1SV7/wC5wY63I/EmHXsl7mx0n7CaRKAD/8UKY94swJ1kRdkrkMORPpX3GAl1q1zfnFx3A/KyoCIpgxcgL1z+Fk5FokuzoefKRfI037YH7hE3wM7ORHoDxXnF+xAvtcZtv4tbTZRZN20CxroD6RbusvnKs1RxdDsrxME+n7C7CNBQPrLIRqftb6NPFe/EhvXOfJdSwpNUTUG/SqFhpQzxereyfFoiqty8/z8//YT9+LNQbPg1qTKQMFou5++PH+fk/PT//MPv1AEuN/lT1HVBdYl2xAHJ7gzr2XRZSqr2mbTAid/eGWA2NDGef5Rw880yuIpzi4BnrrfUYBhoWJ6x2YK+jDKJGSCGRaj8iq6wobBzmUNtUa6HCjFcNocouAyktfbpFmvvFSFKfgQqAtTMsWLBKP8hFc3MxFqULVmcWyX5KfHLvuh/72OcO+fz+48uXffv8z/7l3/rd37ru5z0otbpWWQ1ydqZDlqo6Xy7q6JoMkVvXHsaLAF/W7bnexo2YKslCpRi3y01pIG/vOcDljd0BSLDszEscbhYITWqvJ7Fb2jfaBUEqVZmI9NPUFojdUheUjVvWxBqz+AYZEZ5TMhqL1TClPXP73Hh1xodDc54xaXobTADUNOg+ZkdzaijOPxrnm2cwSGB8GYzvAmUBzG65ILKGxWWc0ZNIWtMLMA/BUdbWUThwpR2lDxDmv1+A1bNZv0OgfENrZfDMcmJmBtA/zqfC7TgSUkigmuhU1XC+o30tISLn3p/FDKEry4VVCxaG0zqX4N1H+YFCtV0yXcse6JAA2FHwtNUElbrf581d3ukFICuTUtVGwGHd53oyBa+6Mc2Df5RXmqSbcKaONMPFgo2pcOym6pT/afPTAJotK4YD2STMzHoCWpfHzAC3S3B74L4IJ8nrAEB48Y/0wpHy4eqIbpxhFGWF/9SqgUHxzA250zPLIwfsk8nh18cDddGivkqJ1SK7UoFLwnzjcZRgvMMxRugKrA7NAzCLckMWCC021nzPrrJF2Cpgyldg8/HEvAaZXmXQarTSwkPcMqpcr2uXA4YDoJlZ1AEsK5BhAgKg40giS7RyMHcLfFUJZizybYTTOEOyztD9Yb4A0zJtqkhdEwjADQEov3dK3+qE0jmqKUjbG2aCK3pm08NFoeg2Va9cSfDljuGqD2Sg1GN/UGxymujKiq4OiUcDTEeh+q2FPbZI8PvJuTgPQIbHFGqaa/2LmRMB5I7HebxK2OBAqKZtW0QsFOywUoBh/BcYYNl0ew48GUnmHhZPqXZSSVV6yvMYu843sD2+c3YY73xLgRHhbSkd9GHG0qg7xaUvMd5TB4IoxWZx3PB4SFii9f/+P3BNeqxhQWxXUdyu69fo70lpbu6jtLc1nHPz7Wkxkcs/w9QAULhGFg9s8McFp4qczYVRhCiw+QYbXVXd6V/s5Q7heb3//PHx9T40wgSKWV81BEiwSbf9l2vtYYIMtlWGzBMHiowXnZ8+MpGzQOEq2OTJdUAFSnbMMCmEywiA/QMvaYcx5qDPHCHCC749fngggaBobsKDDqTCdn43/GuYY05ZQ0jYOTSCq38BkKePdVKh4WeeRPny2r8aNoXfpxc+HlmRTXgQ8gRrCT4yjdvoDltiPFCIPudFMftoVw70C1/DBjUDPTRQ2FQP6DgsWrQH72OtTKG4AvRTCXvu89CH4/bXtcXDY/Rx64F9spfOFFx79oig3dTM1QioKS3YQnGeePzh/vr7e2+kbKzzJa1838HU+189338/z3cWmhRuvBWL3W8oLzAQcInNpla6Q+j6s0SSlG2lAnn8/jcHzjntTN65PlPr0Mw+thENDA9odkLLKokoqBmEvSMQojfxwCY34OjyYlERuDA6U4MLYHd5toZam/LinwpklXZkooCFIyIRe4+d17lSHEyJNg0EVztqcrD3fL0ft6j7+njs73/+j3/yF7/93//Lv/jAF7lx3eLlTIFachtAnN4iNt0aiIGMfZ2JK+UVFaoY63BUqLCxgHaKtPYctvxzfDzD2Ty6QeSabbvuyddKjQsp7EsRFdcJH76iLrAKKHS/VcvqQhvXS6raqhcOoUr8F4tJI0n967EjcOx/a58Ve7kZFTo3nHsUpgBiwAK5JD+2cIQ1isvKgAgIr3T1XqUIts+gUf7LNHZJtjatyjeExUSV62yBsc/WWUgOeNeUXshcRCxzcNgDXkAnbMTLYrkahxCRxLbX8AY6wMmHEJad842FsvmSFldjdzV2hqjs/zhnnWSjvXbKO/3CxwfncMzJ10Clm0vVj+gRjM0t5bivgj2l/Gv+ZYZqB0G7utTFgIsUO/MOtiF16F5jlWco1ZBKFJwOBanSkaS+AYDz7+rEihegFHR8Qa7/CAVk9hSn+YNyjfdVgHKxzKsyHkFF2VjtpY2CMn2DU5GkBmtOqIOuOkwKUyGvF/3uoUbGA9huvXlQK5HUVn3bXiQH6UytQ6hY87rWid+JZ3Ck1cxGdOTEeBVzBl2SmBfNRJwHnlKG2QfTl6y53wobpwpmJEOrAZpY46wEUd5+jak8xMMKmA7ZPUWsu7ONkhzw7m6g68D3pw7MiOYL8juEhiOuGlFt1qo9G4OjkzG4FOjwzDW8BIIFLK7EdfiWH0WAw753KJEDxO/WJ4gwApXZTzHSgihVzSKv+A3ScO/p6HNGB6KRNrkdTc1pfPLXxrO9KDPBEBZNweveAM5pySIpimWA0SqdryovwPEEkk6iH7VLnh2OdAed2MUcsB+UbHCGEJAAV9c38Eh4PW9WNmH5AYLWVp7/+NRGAZL9ANIRltcL7AR3cbsljH+SNSmt2DbX6yiIYHRhJuBersY4RZ4lnsZUMUC3o9Lu0h6E2mWVuGULQkBlNFPs5/W76t8syMeX2ecC1CxUtYu3qMfl5YiUq8fZzOJojhl7X8mbxvD8O72pWlVdam6ndyzsghzg7vtzf/x0308DdT79kW0BQntAtGLGrU597HAUq4amv/yBDQJXI75fgFCNrrr8F2/KYrBWKLKIpvOD50yZHt2sexer2NUpIRMsKjVVcA/fcq8PtpHoulBcvGTJJThOU+jAEi+iO21988x4ILMEhl7hun18/rIvrPr82UENnKl5Y+dctDWaAZsk+fzpDJZqM8BAAXMkngrvEviMmTx5+QQfaudwUZ7dYZQrZidSOFypP07jnkxP5mPzfMZXk1OLBmpRtYv75v1x72P2hskkRdYXH5tbWfThVRPiDvZS6yf88IcPfURMshDxhktGQ1wz773z5f76V8+vf/WcLyDe3j6R1/X9p+vTW6Grr+uTjWXEbXXj8lCgaB8XnJOaLZfjwLhp18R4QUhSxSD7DK+4jXAiFIwlBbpEHAWADGEUZeWL3TRWEMudteOkcNWEYCGg9sqdlWJ5wNxEJ1IujieAexwPUbmQsg9RqSK5LUQYAcLiqxJajObuk3Xft/T8uJ97LweoL59/Rs0//td//vYXX973x1/NH3V9v5cX5lgTiORBYh3EILW8GOgYH95rgWlwYOMd7fV9OksuTvWIMUVZhyvIHQcSD5whVWegWOBrlMcZy0qBArXCWNyjHd/vhsnsWux4mKog26cgZnHpqwgc8TANBlcMWcJoSLRt2tlEYHo7t0tYJDBVClbaJ8ZA8VLeG8asL/0WN00gI9sKvS/nlxElpSdqTSEPsDYnRyS8BKOkSJSzDM14Xq2b2cDG/pCM4LeQcVHo+ARWvJ+YXpNOol4vKXHXz8dTajDaILG6dyyTcgXm5aJiFdeQdhEjcKsN6vAor6Nqoo+aH4ZAcCfsAt0V5Po50wIH3PRj0hGkGVZGIhgToY6417+qUg020njYYrFPz1ewqJrlec2zNjO2SqpX/xPPEaHs+ZuGxVjUCaApRzyN7uNSVBYF+2wsllnLZlbAr6/ab4vrtuJUpUTFrvpbS+33rMWRlHj6zzCtOldmkPpIazmCBXfG9q0jPJQDtTzQeeAPau2vq2pV/FTKWx7AQdzhnYsMHpjLo8EkS9cP8bypXTcOoV6CiuVi/DINYxws2H/IRYMBkWUIA2RKwXHeloup8UiwqhWkDzoMC02it9zQMPfECgnDdtKx3todf7PDDlr7YpMuJO9mSnCD2wAT+xumAJFqIHWIxxMlYakmPUW1IDFeBYFoBBbxEyOh4IwWchAlaoOMHPd5Y1NdVOqRA3Hq/G/wJFee9rVeU8UbAyrQQy/+ekXr5JzMT7GiYmFZaNb5uw2vsAS11PRCK3PwyruSn7fN5grxF3NG1kBoTP8C3OQaPrM+zWotw9klqDDOu661LCI0eHdGMICQdO6sjIwcDsZ9sPvAJPJQlxSUBT7O//bXT/dvHyXK8c4og2ujOOKeIQMHfGeeTa/gErni3jaeP0qvWyfIAigLvkqiqvEdrj+SfnML2PuGspqq/VA3d//ADSWNH9kAIbsWWFuFqrLucGtJmXId1NR1vxU/fSLoAF61i+Xeenzd+/O9t+SVm26FJdBahjp4B4Im+SL2ReAVGwLfHGw2qGt9M0ZKLmBkE4k/IZlcaozsCOTkQLlJaLoTWs+S2/q3KLvdmyDyzHFoyleqdXVuD51CWEFFeYNXmnGhrM2uOx64MtuHckNt7wHTu0lGNt+U7xnoAhHodDtO9dDJf/ut/o5iOVMpznIHLuLxSvLz9H9CFCDyqj57shh5FF04VYTy/m9++0Ic3S2hwhvZ8vIa8MwwdJ235srHAf3CNp4zX6c+am/Nc7xeheL99ATp1OEfCe5ydoQb6I+v0M9oYQpTjWlBmpsobZpyAvcHP37a9x/uz19vrZpdiHN4X6gG3ng1mzbMTmy0DO7cCsopR5A6qvkVddmaTECVbgxk7YtSLLpCEiYrITQ7qsUOEHrsDB5LBS8/VSA/pCjDHots87v+4UZNrJ9epyjImjZZbYOR7dCww1UqMkfkLgHqBUzwFLSe+te4gCSWXHmof4XB3LfuZ3/98tTujvTx/c/vP//2H+sv/vWvHm/v+2jO91sf8tBe7SkwSDuFFwyaWiiRer0IqIPa2Hchozfa1/PzWW0FedocBXcUWl7JxkagirWy6IoNjK1PXZ+sjmkcXe6QQ5dQLGLqEqpqycsFrbMHiaqaKk8Gw4Gv9NqnZcbdzHLiaSqqCOuE9e0FzaYamUxaTfY3aV4lBJfHptojjs2WlTY8rLBiQ4aga5zo/wZHt5KHs6f6LY/XYT1c5oKIBNp69Sj15Mog3hLtdl/iGqxMXXNaHgUg8TsIZuJAxsyWHTWCXaqF3T6qoaX375hLWVkHaVzCJpq2l6yTy12/K31/inUpimH/SYGeK/U9wLI5OwsO817LzXDWL53kAp8xCWyvsUvpmCLC2lz5IZaMmLpzNdW/WsuuUcrIl7PsC0WXR02MwLgq4ws8fdFEYMaSt4gZ+++lNOe2M05AKNPHbgcNXMjv1GOCsDVIlKpBMFKycGWmzCvPX+ikMIF3zepJmkPkVbAOUyxyZFxzsyQq6zwRrJZOtVxWvU5IbbniEkS+JkwNZgtgeZVeCF5FxkJfLIO7t8uoWqrpsSG/z0OqMmxThNTmR1a7Km9GcTXyjYnzXImLMoevwNFuiku4y0QAQgvmofrgnDJZ9Mi3h9/sY+Z0HHcapCuNCYI7hHSiZzwkUgRX5cYeXWqQ2tghCFr7ClhnuMH1d14KHbtV1jc1eng0QLQxmdeKr2OGk8hxGIpq2ZCpvFMiD9X3ms0y89c4TVS5MI1LOQB6yJRRW600Z9rOKmthpnNp4S5a8ot15wd7BgAjzA50j/ErR5mdSecV3Cf1qts26wnKa9aJ44vAPMx4ImS4Xm5vcC5KyC5Ekg9UxgVgvb0LzcAirtyv7DtgBSbSt440f9ZhhRzqWGPofKRgqK6LaX6wCAwtikk8Sc+a0A8DdvO6UEJx367v3r773VXf1cdj9jkz0j0L7qhQu8VakF2xTCBaKUlFajb6VGnCGUUX5rK7WcUiqrt8U9Y6RomcnY99fp7ncwvFLnFjnGs5SAE9SRoQ2NXBkrnWbh5cxv1RW2diSy4/qQDnJ02LgK5DZwroZmh9eyaJiIXRKZ2aY/57QWo3xEOca5KBaFRDaczP6bc3Ds6139xVt3uwk9TR+iq6QyNE1sW6Dgre5O9NDzSlsTHg53SKyzNczA/1L9bxmC0TIgAWOx5vEO8sBjKQb/DHkxJB6E+JbwCDnk60+bDDjs6vF9Ae8ij7sVcOi2GaKoIRT6IKF8+bLXAy1OMgkWKhoNrV/ZjHY+fZgMq2edpL5wMIDSxHFEf2AdW99+fZr/fcqCFGxE1imb19FLQ7KK3uL8/3n96//PC4H8x8d/Vb9/XGal6XqqRuGiLPlZJrZ9mpzQSAVhwbCZCtbKphUZguQYkgJqLN7vt+RkVLlCY+2gkqFsMfYA5OCvd6s4oJRMv0eVAQFlGr2IWwyNsaitrFdAGApZG9WkxRGmkqYwoRAQDebXABuj3k1AtUEVNS+jANd1xUcOvx1PuX+35/7IPPx3c//PyH/s1P//z/8g9/+6dvjy/z9uyGFyycPtNIsTgwDQufHBeYJHb6DJk1pfRA7hL6BUL9IqG5sUWyefrdlBX0CVztAcb0lFhrt0SZ10mJJy/ukiKqNmoPoSR2cZ3ZScjiNcO8ed+HAYB0Cv7A6qbSFulWCAhbhOX1ziOm5xfbSXj0FE4WBjhphT+HeDGqi1NPacWXLVQ4/6AMkfQCxSqlT1C6JhevxlpdZfpptGuIgz4RxZXnp72PdXcoGW2jfxJT3YW0d31pe4MUF27b6gAVfH38l534izFzdC1VmtlXIwFjbanIXtCIv+Ok4aD7AKb+CpQEl61+5vkaaEDaRtXubq4dBdwbDYQrPz9V2fL35W3YlFjaHUTA5hqpygYK9l8XqpnFCUCpg7QiPh4VUiHV7GFfPB26AtxyOM1m5FeEt+idd7IEVLMy26tVe4g3infnHBJZGgIR2gNnurYzPMNvx79s62CKaUIrGNY+KDdIYlvzqtI4ozKO4VtCAbsvUQqqQ6oLPrPNIq8oQuDFCIdJ6wnsbA1Alte45sCrKPJ/HUE1AIRF7bx2BgvyNK6rGMnLlr2mO67nvv9rVyEU3U/7EtDtPU7DWvTogAuS2GS5GmQzRjqmiJmuTqnOjk+YgFUNscGWUlH2N8SdINGvtb10we+GMSfh5AsDM1EJ6hSbWM89uFaq61lC7c3VNUZ0uKLGqU1QxbDmCKRO37k8Rl19FAU4iIYnJnK9vfrSfGN1DOU8Te/SAjjxx6MeMuMNgNVEud3ZlQdhU1t1BaW0DGc3viaJsiC7XTm6KDsT8p49hE1NWZKxDqX2HmlsFpcVo7JQZbWJM57DU3ABizNWKNZgsxqQNkN6lWAHfTjogcxJm3J19Mehn19ToXB76hkM7150+0IIFhCHFfdfWgdWRKa5pAJXxToj/XctMOwmLJa7r4b669vv5tOfXten58eXp+7BPXwr82ErPVDjWsXKBKbQKeC76tqq5aj0zbUPkhE2YcVdLrq56OtiN4rqKowuXbwbH/O4i/XJQa6yA8MTVt7ngAy58EJhvYbaHGVFmsIXUHW7Q6sXvUd5SpRbVpaZB8gAu/FZ39yOy6khWZdTZUbWqm6DxrkES7xGVVBSA8A4cB/RYfIQIWWM0R2h2wdnsJrDs18pZzt8Qr5C/Dho1USgcQoqHCAMoYFs63YFzg9146r6FTAN1VVm0VhZy1oWoJUjKo94At2sVup3oIjrHLhqte3sUcV4sHdIC0TUAajVFLkVEWzmC1/5BUZGbVN3oQAtvPCpnrge4Fvd3+sDGjzmutfilQbJrZo6c2mXZY2LJt/uqfuG+lKBffPt4boIMidRQo00urf2/uDXv+Ljh3n//HzczevT20V8X9d3/d33V+OtmqgdLNkhfafv9OOZnzDuxe3S4nZMD1wwd49zvDGS7X2JWjSj8O1i6Yjarc7eLcnRf6TxrCYWnrpeVOGCpDKI6PKJQDc+VaeYbGae2T5zN2AXeEpWy+5m0mpz9yRoB7sFXYBUfce3JgTYwnTTG8Qt3oWbHF7A9Vx9vfm8dx/10P7w8Yc/+/vf/4P//o8/fvv7m+/fPbFTfZBUgODFUkWUo4Hp3bXulhevqmxiN2NlXYvBfLNYEsAK8H4EV8Zelt7CZiImPhK+3PSzOTfVt83lLtulwiJCRm+262whW2HYxm9qnA0slSXK5fddRheZMsvNGqCt8iLudC6AWzuXHHPWELdntzyIJ3HVtvdwP1Ep2Azd3ns6PZpTJ0Eb5yPK5YLOADsj1TDJT29cfQ0Aw3x5HP5sVLpL2nerhLKzzOvyGgQrNw0kwzD5qDPAS8WMKBi/1qLVxLlEAwosHlghYFnihIAK4VRELGmzUdtdhAKUW+eA2LwEW0FnDOCFC2WG1YB1agvCg2aXL4NpzRUgybvyLEeRdeoEsOpa1oZ4c+Rsq+a38pdSG8gBEMaoCcmtIPtOEhKpXntqeKI3S9Yc2gFRrFJ2TCDcK9igqgnONvmyoJa3AfNyBTC04NRDewWTFpnrpoffcJIpICvCDE3gwFY4vsAbUQRJG/z49bmpymrZKJcaSp2H3Facta8k6FUEOHbxdmLxvrVU59ZfcTUVQYUJ/6yaZsSp2WwX4kLrFso2Jhw/5AVY3o/MQICSS7YCm6l913Yxqw29DQawEXxklVCsTTFYCQgCdXXnbNkPyqyHY2eq9IPXrGcMjEF3qnmDti/AGELHENFqqZf21LKM9KRuvJl3yIRUv1zr3SZsFgDME5hZ6YaWs5rV2r7CocaaTx1a4pUa3IvlGUOxWYUwO+uHtP5Vn1zoF/UMRkbMAK/GOwNvh0osHEWj85rfNkB1s3KXpKoMR5uTiBkEoDA1TmbCGSlyRVcmFzxKwHJxyW9RGEmI5uoCY/vfHtT7aNACv+sY7p70EeoHiKPqq0t0tw/DMKcHwSv3iLQikJXBAskzOWWwyOHbX03I7MCe1Yw+CtFyBRlXARotRlhcma9ULzn3sNS1hU9//P33v/leN/B8cmpXu7V2dxqU2CxOZXoqZwIAJmtNp2QsCEGjeazqKsoYUX0JdUGcUGNmavf5cd/PGxaKKGTq4fGUSiFgs/vmxNSU2pHyyM5giN3JgB525Wsvc4DanBgIYjlUowgqC0owFBsXgWYtdleLyBC9SfcYPtr8IPO/6z21+Y/dh4q4KpNlCgoXowbT5xXoEGVlv23JdRD3CUJ4naUlviEQqlDCtTgwPHD4PhF1+uxiopofWthZABAL3ecDu4BeHsJBoPkJyAHOtcwBWq5NOFcKD1mt16cBLsnAUgcoI1Q6mxcTwHmaAX9J4FwovL2F36uTPu97PvZ+iHbU33OJUFrEOXg8yln2a5fEW/skbo3I7TSEvvaB01itArl8//zl48f7/rz4Ot0F6aKapUZ3VV3NqtViKLB0e4gCtbulZUEMkwq2RA20GXYsOo9rVkvZTiZfTfwW8/cMRqq00kScvQugCq0blvEi1bvzHV3RKOJegQPdZpLlOSntMm2z7tlwrzwUNCFxozkr70kpFq0xqxrr6Ss1T5ZWarXb1AKja4RZDp6P59evH1+fez/v58/1/sPM9fyv/2//+Pt/sl/4Q81fZ43wVlKJVW1zkyINZBMqGf1hHChgAwrAbSYglw4O8QzRBd/sqDbPaXels2csKziahywh3Kz4IkivPyVDDMVTrmLtEr5ccBEeAVzhWnvlgNM8fqZkvalYr/G5FCxM6AnV73Z1cXWCGXiV12e2OxXFcJWGYYNtclOo0hhTuYDyJLFSaVoYgogYPL4KUcupEw6KbPcp5s7LSN5FPypQvGiP8p3yX+v0c3KyyxQLNXK8jAF6hM/DHK43udGSK5WXaQ/rd9KdO8rxkF/2s8h79anTyl9JddaVWaH5CoRHXl9GRAvGR5xh7Zdhl59I3a118ccMKWsk0gnZhhJVWhw4OThkUOfZXkez6heBVPAkAiHpYms9zR/tHISGZBI0A4NBBwcCbk/tBWQ6KF8Ys8CxsWDJ1IcLWbHEcWe8UMsdbnrcVpReUS06MyPyjNRceu2cB41rncrVdJCfmeLulNqoXmqTV4Pj4ZzTi0O2dN040PLouiEWZ637yloef94Z+U8Y2iSCjFRsdBlcN3drxHjD+ij4sDKMRGmZVQG7s7sjz0fRE4xIDRmfXv+tAOGQblgTZTDYIziGvtcuPG7yz4gPIkzCSx/rQkUoj0UYkw6OBrvybSpRERZbVToZx4u9EMkSgpCnlHUxjfVKWNCA2i7Xu3LMoZFbBww4GqC8b5XE22bLGxttAcsWVuMpyC3/kSpuFY2Fulbe2pRj2ZW632Z+aWWsEp3lpL5RsPtiu9IGOMS4iXJzmGqJvo3j2n47XRRXzLSha5iUpT2IHNhnzCUTYWXJeYs4XBd94NbSbAiocneaQ3+KWbolzr33V0rq3MjDdUrQlKYumG0JUBEf4gC4fsgOyhWxZwy6wdh3GYPGILJ8252djkOjSNyNNp6DYKNXtxADAryUBpbIDrbt3k+re371/KO/9elXf+168gnovpdqzVKo255t99odzTfBOke+gi0heqXLhi39tkPTSmbP6XSp3lYXgtdeJLCDx/s8taNqf+mM//rQ2x7ZQ9i5CEfvTsCxuzJA6gbOZyBz5YjXTZFAXw5mKNI7afbkz03w1SlVNyWmgpsF/nDFn5BM79sGCI5y2BbFlAHm3SO2fM1pJGDjzY/PEtZXn+hlNJQfeLWimnfnGplTeoA01ifEM5EDdYeEf6HskOmgQzUAbj15Wt4ytlq7QxdKx1mAYQzS8uTTveoD4HD6m3loM1Ov6wJkr2HJ839VjQLX8xWm9JAdbEUYpsFtXjeIlJbCPvT48qxxV629tQMtVcruSwe6nRFUy53nc3BX2LFKxvMRWQgYN8ZObfuOr3/5fv+s5+O589greaGoq65qFJYd4fmOyaT2KTkwUKcwGu8EF+uyPNYWpQgg5OvrJ1pJooOz8t5dikf2S6rR3lp5HSaiy5IWI1KqbK43VU9ywWKhrgSKGWC9JBZT8ZFZcbRbvtM7uo8uuEF5tx+gDSVr8qdL7S9YluPXSjt7dXUF1X2/555+f9+v73r/eM57v3+uv/z5h7/xd/Xf/d//3ttvqc+/ZndrG+Bl94IwWwKFBiwVjCjgKhuDZvQl5UluZo3knU7ufbP4y1wXKGU57kTRLMckkTtWO0Hahi1VLbex5jJkOeM04rY1WSIgEES7h0tCgzUYJ0lRI+2OlUqO8Ux3egALHUuqrCfhueDh9MuuC6+JJUnDchxqR8cUJjqseQGy6wIIDzpvqGG4+uRBwHEyQqp4u3Pm/JrntExeaghV/UKzAUY2pDEyGF4G0AHk135EjB4hfUsZpoTDKYMuOnR5WXLGUXloZ+j1/a9YkFuocUCzhf8WH4EMhbhg8FVKbEvrIaXA9DHZPGCmBZZDxMYSyCXC4d0vwfPhBAK8pXc3ANER2yfLuChcFji7YBnF8a644gk7CxU2AnMpRqY2hlFIFd+tdH3sZk6SdahWALJDAvrhuj5+YbmgJ0FcnFjgmQYzjWW6C8dcZOKhas60adSrRgBif7InwUQclY7Ez7cCI527Y81FMlcqIwTZ6mK17UFXXFdDxSoV2DnJrNxyt7twFeNdiSTsfrXD3pRQwJG3uY2KsI6lYyZJwafU/RsskfW380c0NojF7VMvoDMNiMj7wpbQAXN3y4PMTN4MH4WUjQ7QKBeeOmO4qGPxS65dVSbHxS5CLlVcHFFEC7FkcTNVfBX4WDe52oL29nVe2pxEafUGnJXjhXG7jeN0zfgVqV4MppOOQ1dLMnIgEvE9NrW0a40rz97TtRrSTiMm7jKRTuYW2TopV5ZwXY9v4FQAXBFTYpXO0X91/B58wCnpSijPb50TY96eJ16u20zD+D7c4SSsOl+oXkqfti666FozvR8THmpzx7VoYA72qLMKJcCIDMqa3DQtJthkgcFqz5yHse9iIW4WHvM3TPay4vjF//BYMRj89KjWhl45uEIMU/xr15BNtHo+/Q5/7c9/fX0/9/3Ug/qoecbv4aYMVqPsMETvkmQE4QQWDkwtc0y9B70JxDV2uCJBXkcZz7hfbj0eux+0Oa2MiF1X3gOgzEcBSpEK4lvNxBfh5kcWJZ/BFxVRpctjfGL11mv+h7R1xZnfsoDS8I9pQ6LQBXnJ8njKgVUy1ECBWKzKsfYMUhGx9MuZgg9NgKXT8wvy3fK6nYKxOvLqIPrlzdGqisb5xYzzwC6Zab48P7BoksuaM9KVqxFlojlhkfGicuaZM4C/cSANaf+KO/A+Zh4FXVqNlTKYbdcdGNL0/ONpeq3ZAKq/SaTsp1AeuaBDMgwzZ0cYPGAAgd3ILS9cEAt36Ss02RrEMdhRB3JjS8vt9liqc14XWWwZHVviAopsz7HXzJa9JoT39/n4oucX7oPX9YZGv+GyEMNfs661wwMbJKVeFd5cgBiDkHhGb152KGwDb9lfTg9TURUZ7cqLAILlb06M4otGl/Z2WMGYocx7QK4k/RodD1IVmVKtXhVkunx3oeHatW6exlSw3lWz4HqML1RXNar7slW+8ppF/xtv7GjWY1bCFKjRjfvG+73vj/vL8/H5ffbn/vLzl5/1H/7Z//Bnf+9f/vbnX/3Hmt6L/dYr1FtdlQibVbv+omCS9TmhAOulEzJup3k5cOnFNCmrblyiul0KSOg2MDiU8l2s9iEt97QX9amhX2O3ftqoXsFD9nKDQZkXWW9/ErZYJVUqC3f3B+W2iLMy+2swKegCozHZs6WLNrBkzJKracBBtAoTJqUd+CqdAXTwgaM73UxoVmDDxB8ssUGLm4jYdIlaipazwucu3vhtSc+L6TaWYphKMpRc3+JC8D2fGXgieEP+QdmHCjva1curLRwJPd/xCwaeCNfFb/jHQqRRPZLVcay05MslSUS/DiPiy2+Bt6KUWk5m36t8+xxXMMKdtW1poTraIfEQ0Q61e0AFG5cQCZtGfXTqmdcstpfI+B07iVcAd8+X4qURdS+VNN8usLW7mUSrdWbWrjhOs4YNQG5VL5Rh22/Fh4pqwqh1AwYQjO8fyIX06VTGQaN/mCDhribAw33JEhNHHYuxDPVGJV1pAOFV2pVu9Yg2nHCq8ILJQogL2vZLOTC9r76Ogki3i1ePB1NL8iaw0BQRtbRpO4qLzbqKOaqiIJrJ2TleFq44UxK1K0W0Y/m6czpBryEs/99XqzFRZOaOGAFIbfpSwTFK/9OWb6w0qqpc0HIOGXJwfqboB4TRyDJWMAQzyNf62TLfZaZq49cMkEeluz6pq13cRunsGqMB4p7vmWcdtt5/ec2pwGAsBDpHmCk64uGNYruWLvOTY+GE4o5W9JxWjDQ94WR+CRHh5Hi0w+QW99sGncOAosWa00c5gJo+03rTmg+tqVkRgsGaxGA3g6enTGeY3COBgZFI4yTWTAPxKnsZs0u2c49qML07S1JSSgI+O+rS15Yvl0w+fnkwL1bvaFzyW5y9Evs9leaZytXq7AphZbsHHXv93F3/Pp3Yt3Fra7//8/qjv/1JnJ6emXstTNx5OuZH09WXJdqA+4Igiu5yl1veESY7vt1m0dp+3rysEVfZWRDLHos3+NDclzktc2sxTMXGpz4FcVq9lNWMHgWIeS3NOJhyf8ncmLsqHMuyzSQOAAmrA/44CJ+3bJTDgtPA6toxNRhSAuEBzIzpWDX7oqRRSQVmvZfF9K7wAHgU2xqtvTwZbF6z0lllHF6Hy3SfHnziYGjMGQl4YCDt9dkEe+vmavhLByjG1SxPC9hFnxgcRsWROCihgsb6n8z2gqy1Otqy8OqDcrqjjT1EvmzmFhZ9tA2C4l/kC25IEtBlp0UTiekQMBpit248Pm697IVa8P7nkl1NF5541ds2CZ9D+73kCVQRtHt0uUlBP2e6yannY99/fDyeeLzvrsoSrUJ1XeTFwk5ZENAGbJx4N/DmuC5bjMewtD7GXE2wjbVtgLUaWBF3reS9yk67DL6M1WhnKGVaGzGLdPkhZTe5oXOFVeUBhw0bAK3ieOTDYWD31mgHM5FQhrI5WpXdOnsll7qt+agjjdAlT3NBLNYE4qqdegwAze7j5tf3++tnfv16f7774zN/+ssf3n7V/8P/+M/wX/4en/EG3IUidnQcUYpseUkZ5GIz8o00jPNS9xKq+CY6u+Ic8iAsQqQSpzSxxVDlwZ8G1mUqKrxjKr1decAVNJS3L2XHNM+LPXzxKwMsZBedFVsOBtapuqomRLlkU1AKHTI3dQXJwtWJIy+5YwgAnvyAk+3h4SswB7wQwU0BniyJTiOvzmHT+11BbLY5KTkI9FY7nFjjB1eB9/J8dJjmhCZXrITlNetK3gEqWaowpltOJR9BlyX90f+4lthiTETohcBYxurVQMQGpjccO0E20GanJ/0DYER7D02KRLOi9Vyx1Jvl2lGWMLTnytrg/xGVHnB8nWh4EA+tBZ2ZBmUYZMIVsg3LXPQft3oXCOYuUVpPmHHxbcoUxAZRCohSMfo0elUs53IPJ0BGIJFWo/w2BYw7jt2TlwCYqRkIrYqgIapP2JECa2TbZF/sLNMruxo5S8+tmXKOe+2vYIhv/zHrG6CgFT6pm8Pm/KBeQzfCmTQOkxKQo6ragI7robLkzZ+lZP1suJPa05w4HVPY3BCfaRbKDfx+I6u96+FkuPXII3WU7evWcPcGRqG8XmiyeRusfgGzvs5gK7/lpXoJ0kxhuS+wR9mZBkSADrkJZpRWXmjsbtTN40lpxh0VQbsWG59cTwVCZHlhqx2gHOKkmVNi8hx+g5rujimB3hbjuWdJHgjLoONeSSj+GwwRswJ7GPj3ENVRJjEw2fkv0pbjrNItOSRbxum/2a9AZ05zFVeESrWTq71HzXHqbkdCxPUTuzwTHAJa2/US2SOMritER3WXBtWeYEj5Yx0tacWPagulrHBwstr18c/Y1jnzYUJTuMl4feXluazM5QFQMOjly5DrHayAAGOq01ZV0L2K2zPDhM5jFJ01uSKvy+lLmOaq7tr5Hhd7f/d3/vr1N6+Ped+vu3tReD6HA3F3Z7eaF1A7axc78QrkKBVqRjtRb3KhZS2qiluD7GYmVN1d3PLuLi9W5a3Hl8djVzXDqjICYqyRsvENfoGnwtktjVIcTuBnZgsvVwoNkGtmwEAr20Fx23vDFDLE6dC5GVEYpo9OcoPPr2BCUpQydhVY5gzApBYonL/DsTyQgHB8MOSdrS9QPmadttpC2Af/JZsNf5m+SGPwamRPwGXSPFAmjdzIRBCQUHbaDmDdICFLM4QV+jzh1+98/SWKUYtRGtIrHixYpOtu7mj3PDWRhWF5PwJdxBti4bLlmfQLANmxIn/ZR4Be1Vhw4w7BbkLuc2/ej52HOLTSZwfFwgPCTC6PJ4Swt3P5dtByAC9lTvmtk32J16XFFIkPfXy+5/M992LQXeYrFuPTwiKsw7iF52hrpbZl4J6ejAwAxpKWIyyedlwCbZ+wesNexlGvSXEpI1uixiPaHn0pwS5aisDFftUirbzcEDCAotOvBuLx67Jg5YlWYLG31p2FlbTysC9i7mjfAM1uvD9JNouelf02A+m4xF23wBjulMi6p3aAez8+9uvXmScfHx8/ff74/OOnH376/V//J9/9s//Xn3z/1379+PoE3ph2qlZxoXcAL9ImHck1AZzJLF6S7JNJ4BcWIamo65TM1iDsOj1Y2uq2gqlMpIh1YLfFyxgwLPSpdWzneUHBDQKEw7FfuZruiFbW+G1WaALBEJgm2C+tYnAX0ExmI4yY10yyraHSBXeNn4SphExiOnE6WhaDQ+M0IxAUg0acOlxZHyG47VJU1DZsjyKGx6Yb2W43SiBVn9GVxKhIWAlmC8+qhDHRuqeLx5opQJE7genTOXiMQymbKh2fq1Bc8FB8tkYbIws1GUWSN0a5DHYEOZVAHnDGS12k0O0eFJyDZWu7NMplVtB+dof0fE2RvSS72qriGTf1D/EfZebCLLdoJwXTSKdjo2Obkdmq9f53+ASC4GCd0JRnYkd2wNxY3sBBfajMULoXKBsBLrTM2hcXd66ThMNZpaeEEBl1anu9egUF4Yr6AVmrQRzY1Lx3+mUAqg7X5jhi4NT/DNcq63wedPbwaB0UuRWJFzIaHXx1tLOF40yaa1jJVsKE5naETY2rVAy20NQpVg3EVBSTWxohxXQYgaPycN1JvIo3D6wK0N7+JcahGf5f044uyS1L9CxiZH86H+b1WX2J10uxLUIkxH4RXwntpdkX1G4nLkW4RWa2xmZQoJfs5vvOeQMIAOhy4HxRd20lr9HT3NBGVLTrZmMX7c1xFrvF70iz9BJUBIulLZ9yao0lDhCXWx+6LaCG1szitI8GZJZe0KYADC8dAHN1WGDTlgWpcaPmc/SsE9J3hZl13x07Th0OQAFazTDkrOoIesBO68llfG/Y3r5ScVD0eKcjf9C2KN34beRUsSc4jee+kocfvVOPFoq5HF2qg5HrGnIJhJx5Zp3KUL+4yifIErBtbvmU7ULwllJIM2fdbW1h+YQwwKff8nf/6Lv9/uuX+6nndx0JAB5PT6QsJU4aoAo1QWsIWxrfpwr3C9woaHcHumHPIdGNvRy/POfaLOHeHT1rB1tmhF74FqJTzVSY+0MYwHGfIeEIRok6Y2tWyqMsTgWVtaNQn5UuSgoJj5KQgbGMkbWN9Kk0lsOeJVErbRfo3uLk3jq9qw9iLapAZKDWd66aBZRwBraPm1+ANFYf3zfJFtERxL/mCgz8HuCrJtV2Mepfis3TMfvKK/EkufcbRvpqweF0lEbBa30PY/lqxBO3/FEtsT1+0IFp9sAAaWFX6H7hKwaZfYC+7R5PNQVVeZuUvQAXpSMaLtbtDARPdwHc2g/iIXh78x3whiSnmq0AMf4BI/aqtqvtG9Ke2QBFFOumhnNZjrAg8ezHj/v+FfcdpPvNUaV2az9Vtd+UdsGxYLHcQkpwi7wHUU8r6ULuuHWssLohrvPjjhRA7bx+2IPaFAzaa93MCCmvF0SVqMs1kxICiZihHdBoAXJmNkCqXc52B/cCAwozFiATq0omHw0uJu57Lm4FxjZFKLCwbI/1iUAVxhQ/lq4pS8t94v3z8/35ft/4+hN++AE/f/zhX/wf/+RP/9u//vH25dcPffe82MXasoWrT2pFU20eGyVPNcENZykN42los6BTK06Je2M1mo2GocAXBOiaIpnA0I75FlfQmvusNjGWVopWpZA/jRS8OsSgO7DNhIvFZcUYLSebMaFaJw+b10rPK6h45KgUB+wbQGYSAOeuPanPt9ukke+0AbwDEzFhzSgldKbnhgc0gz94MgWLu9ojUz/EwwFtvTI7AW+HVuwGeGQ6HGPjtjNEnmiV02i6DAsKPVgOSDTqUDRhkkzm5W9bnv5eX3w/F39wCzVzq9LcBPyGIFYkxAdZCzmYj3viPZkWKSV3bWD4RWxi3IVyZ/OFlu0GGCQGUp8JJcwutxCfhz2WfyOhcqfVrHpNXFwW/0q5MDkd47MAW2CljNh1QCzsEN42Yn/wDUnTQHrjxe4ZEXTmWMHDt7Sph+3lcvrCfztcVEkuHOocMk8c+l1D4/CcJz6QBvHUCkjkeVFMuf8ArO+2jQkoWs8TUVHYKL83sI9aa6tUPQe2CkQLIM5YZbPfyq96+C5YV/qWtAkv6M3qGleLpgw4Tl2b/anw0A9OF5ApJK9GO1JyQnZka7Lk0R14WyKgteczdPoNAmCCZ0RWq9fTBwStuJOq92UrmdCfnttWQywfdQsUcoXJI/rPbJNpuWDqIG01tljNURMzuWfBHQ4FDKtxNhUCD3oZFP3hPBYNuzqmMM3DPfFsrDETeQEua2P6Kh73BM1OkN0N+mLBhrQjaKxNxpwOQItZSbOaZgRGNtc1XJDwmJbESV0AUW9YerRa/gH+6p6oMbJhW8Ocka1Xu4iXqjJEDmy67Cjj9GrAxyo8pIeIUp3yAQsTkWOpuGeIjJDDeHSaqZzaw+t4uWc6fvs++EQd/3iX+qYKx9AdKytJPf+iMSto+xGzDS3aY6rI3WtJ1Pytv//bP/mL79/n5+dz9ORz8Jznc0dP7NTyglAR0HGcE60QLW0pOFYomVX1ulO1lkcStgtdZKF65UGvyF36fvDr4yGvXckuZo+We3HC4MjZnRvBdNvG+PGtq4UYqDqtb2adSLVq2XX2K4tgKJYalSrwS1ku40bHo/qJC/IFRYboGmjQBjv2Zbr8kXg+kk7PnYyfUbNTubn6JMH24BOTuOy6Yg5TgA2IGRsNGDl0sVXlk4T0CXQCS0YO20et5uCRKTuUVGCsKgU9UcjO4Lq+VaHGglllzZ6zCHfoiJhh+ORm0Iizh5VnvqE0FUqqeNoeypVORcKAjF3I0+NsQZbRFQtMa+dwOVjct3ALuIAx1i/FfoGEViW3W45Qrle2nG3aoWLdrIjCcAjiUgPD58c8v8w8tM+9ig2+XXjrai4udpzqJTNMEsU1mbvychT3g7b/wG4kYCoXkgHidoyv9MHaTKbQpkBtPcQKe++m98vvgoVGKw5yzUgWqjZ6EwthodbZKcHC2qAtGIZxssWNwu0aq2w1sGkztzj2tUxgs4RGIGsjTkOjsrphKOCWpAtD8XlLg7k1z+fX9/l41/Njvnz+/MNPP+xb/dP/6W/+6X/1/Q/8Ule96ap6q+uyN1K4rWKtwNla88quydunQ4BfQmKC9/QaidmT4bkWWx1wb1+xUwtVWlBvtLdfRoGnALZfEl0QHtUlXdVYpl/Jhe4HmVoSimlJ/hyA+N//siTnTjT2wuHlg/n6Ps4RRLu7jKdxud3wBGyByzk/0ISiCpErbR6CayCKQIZeYDnVSxRBN+4uAo06fRuBSM7Zs1aFNHWWoMz0/Yau95Tr5eiQYocneVqa6x5qkX1yae03c9wHvreozjnNzW6fTGjEEiTW0wo26rHMiFrfdCShBpvY8ys6dbcDulm3c13d0BtEdD/rP+Pz4x/K03oEVRdXXaWmJwcdZV8iaaRYkeMmvU9p09EYfD+YqUGnNUKST+hn4qFd8oT4QM8e9nTilJVuVR76OLty/Z/ixhJy0mkEAhu4Rw4Qe6aJbLbEnL7To4DhTVZG/wuRe7gScJ3oJqdq/OACGK97nT0WopGDDPMf0cOfaOIebOTSNtetA3BLQt8lRUFV1fVG0XybG6n1pwvOS8EjtwWybO9ihQkF9GshM4mqalOcRy5OwdOjWDuy+oYTW1wTO4PzDOXvsWmtUtuibJXAmBBkExXO6STYfrSTAl8sLzxB6MjO8PyBzXMm/caqsmKuymFMZAHjyD9D3cKgmvmlrOVZ4f4Gw0NQ1a4wKI2uordwLbmFWW+Y7wmAibgVHDyjq6uBY9rZbNBm27lqnlL2/iSmLYYH9G3xYO8K10jukRpsslFVnhlJDIdksa+cr9oVX1Tzp9HlaRIdNPxpu7hZES9VqEbDnqdiI6D6pj3xK4kehCJt9OV76/m0g1gToQmyxDGlKgpeiLznMsoeWjqgBc1SM1Mu8mc/zLBIdFn3hwNNMS2izMyTa8mVXX6iGBFYVzACC05HN7izfen6+vbx5W///nf/5e/4XT1/vPGzZq7nrEb71D51PXHd90UNr9p850z/l7NwvUZxlrDfdom7hdJtSkSpFFW9Ls6mZkfAc/R8LO/W8i501xVGigFE4MCdOwfrO0QscMtbVcDkTSyOl86igX4R5CCuMc9HkK3oCEDbyNVUC1dHnNO2q57yuWavFZjFNkrSEsXuioMebNWdvIpjDuZ51BZYqkx4s5qkmigYuPXWa9kZzDFcdcx2S16Oq8ZVh5d14qgTjVPrl0e92rTZpAJNQ3I6JXqKTam/GR8eYOyg2qQMxbdXDr+d31ZHXmYMSHBQtVLTfveHCKaIOYLiQhQIh1/5zxCjOe2bZ4GQFUnixQLVbCll5eExDOXdO7epqR7xMVzp3qx5Ibmt2ov1Rk0XqlBdGce1xXyDXF0sR26vtpHq7dLo8fWepwb17JpPNz+pobd+s5SuWQbhZDTOGW9qGXoB29IsemEhbRG2WvZElRvLsh/GYHb8wcSyU5tnCSVWbWxcaICyAkL78jcpK2eErWwodDU0mQ4uLWubQyMgK+3NeWKfO8t7sdsllDgot3IjLGvvk3SfW3wlTk/ncMZqGZ0CsO/aAF/jlKrHUx/P/br4+DrvX/D17vsdzx/vX/3l737zL//9v/qf/slvf/fdl8/3xYv1cc303TdHQFcTNTbcOw4lC2hxC/dsECXFAnWRuu3ovRn4qVLQOgzUWL5kZMfZFCosWkZWdq29Of70hFhqkayil9yZolS8EJrQpJ2POlGv2whqUShcnk6ujdDtYEi2jtBaMesBDKfLdicZjIrqYkTPLF4Nnr2e1qj77tETIv4Zr+2YniRGcSMSEMYMS7IPDqJVXNQLuUOIZjJ5fQ032RxJMrRZi1qWwN3MBvmq6gA9mf2nV/IE5fJoj+j2x+DvycAGAiGBl2eMHFfWUYPiyyGMtDMVsdKTtSFjsw2Vb0VtgcgkhosagTztXqexjvPBint3WUzpWg6BFceC+fGgvh93s4us1m4mpU11t0cMmKhPeUWF+VxCbdrP5J6F++4SvDbSkhPDrcERMqQaGUaOKvNhyGMX3BszauYvQTvAoeEFR2WSzznCY2bW0UOnDzHubOWaXih7utUdGVhbrP16KtY+QbhIYKC1fc5RURybL8blV1lg5bZOqHLlGizcRfowDh86sHbV1lZULgbSUxO5bNAu41gigmcJZdACgyqnL/SM38rjgyNpZGK5PG3uMWnr1CiuE52rsNXl35B6zR25pOqM8WeORMBm53MKSn9kN/RCekWb9mDh4YRJlYcoyFwauvqtjG+nQFzYi22Tl/lSZGFBjCtDGT4f9C4xWLpsIDJunPKW2NXg6e8y/ldRqx1HqjoC/Tjx0BFlQS9wCMgF+9HHb8mjEgyfsgfFASl5xIIxA8bWmW3daP+O2MnVT9GBGGWkywF9z2lIxSN1xhr8yUVDn5lcimTXScwAptshqhQ6O/+zykdSRnd9ZEbMpDXc54bydydwSiBAOsMdguKFXh4w7hfAQNLDDQykqDMdEllMnX/0wTFY/W0bRJ2fXIj4wi/TXQ8LV4us60pHq1+zPv7m3/vVn/7j7+7a+eA8dM/XeWg/Zr4+d5Zlm39vp0CpGeLE6EQBpKdl4PlLg+JZz8QjJ2UDF4CZHFqwutT62P0C3WeiZDxkD0T34qeuI89DgBumxXTHV7Bs1BSDu4SYagRiyYdlBWtFadlgdV+Fi7ZnbYqX1uGI6SwskO4QjMoAoqqLufrlXMIlysOL3WgY7UbZFFLWbrDivPCyV0BZJX5WojvtekVJl7sLEdUTaWbC7MstuFSJG5u3YuW3H4XtFdcmnj4k5OLyUkGbIxEQq9Wo9nTdmTHANyS0GmtQ6yLcJ+0x4HamZ3L+SxPnE2grFASgHLfTTp5jHSPPc2gh5YegEQsN2xrLQlaDczUazIc7pq3iCke2sg0JM+F/RiYI/BZBNqt0XdflU1xYA8yaisEDyNkHPn6ax0+4P1SsZpPlivQqFvsqXu14CbUnUdRlQQkyClEibqFMP6/KVJyxJsOJLgT3rvFaShXsBGhq1QfRDEzZHGIjtIj8m/ACQWegCa72OnFNiAWtGugW7eS00U6iT07Z2SA6HdkkY+ondZWdOgO6O6x4z6iH0jbeEO0tI+51/NTBG/u48fjoj8/3x+fH+2N/fH/85Y8/fH7+/Hf/+9/+8//3X+hv/vTz16+c74aNt8eFt2JPabBo+n5rSosSTblZHOhYYvU/zISwbOoKWD9lVkCna9bWuj4Nvi23CIwtsmB21NHG9czgIJ9+dz70PAqkjYuJISDCf58B2KRDCtI2edUxvLJca813Hv1sXCNc8HsW07/q6s/ttJQfgFQLqfszDqj7MI06jgY+DytlIAon29B42cHdFscu00taDT8xqrNAudlSaeHIrgutkNSbv5GL+KwC8AWApUW5/Cxi27QIGEnbGotAxk8X0ZuHoByX/5pNrZQxTtchWkNcbuYtHR1TEauVbSISO72RCud/Zyaz3+vJITJA0s6eA89tYd0euVxbB7eYpJzyDKl7fLOVPg/lGaxDc/iGZbIlGx6QGvtVA6f6DpuNMNOpXAy8OhI7cazXrViTfXBMBmJHhARyjbNVBLIXZnH0dMpcml1DU405wjumnS/3rXFDTF7NaLx6VUNXovuU/ByltkK6Zwoyxz6JX7veUgZ/yULRm3Jkm41ScV36AoLGi5VTWUmapc4ewOx7RMY+XRvb145Q5yjAeNy4VXAbsyvZBCp8nAjhDHO6WhbAwmwVvu0cImyhaXf8ClBwOug1Ved5QcBUm98fnHOLNhh7NX+GcnwBxKNMjNA5jCPODFXa/iUt0y5GjmViieB69biGIyHD8xnzRkHNTJS7nr7vBeZ4lTXE3eIWbgOOq5RVyMvK9K87foMkQf8Uo1M3PkVateNy2+/tJEaYl87/yyosmJb29z3hVRIzFrFBgTzL5BR3RoSx2t0tn4I9PCZcmxgGGCTkV0qszNWqInhte29YHE1EXOcBPbwibUhXh2CrtqJx6ziVnQ7CN3bpy+lJhjwCwWriQvtDOd+StdxvccMXyJ1VKSnIc8MK+pEWtqz+HVLigLe0xM2H9k/qb/w3v6s/mfvLE1+L8/b40Nz3x2PvJ8i3sfcIhrILSA7uKZG9k/3wohB1ZF2A9cWs5Vvx6r6KV4FSrQqruSUMnw/NWku9NuLzWi5YrU9lEiAOHY7uchYNHrHQjh0z3e8kPzl2e7XA8Y2lt6Z2AeQF9FYLRTRU69RU3rzdJQJtXvqY97Xrvpfonalps5pImRhETq1lTMibh4DtNIvyo6yUvDlcDfBWJI3+7kI2ebhTMY/rOKxqGfBLm/GiLrF0j/SC/ytlC6rO3vc5Xjve+sv1obv4reG2Na1xDn9yLXpIoDT++BZ7SVauObhBlcizbkjSAY1mMWjE3rpUUnwwgtqR8j7fqTV09YsxD3Ot4izuwYp7ixCrWFuyYqm7mtRC7YWttbjas2V9ZTbG8F4tufYndTHs2QjeX/T1p3ncQ6ynX68sXVe/sdmN6qKcwScDtjxk83qgatlLecBKu9JER+mMwlmtOGBtE1LfIy+dK8xxnYMs24fvls5qD5AYWYi7wKoqcYYxwKGwtaM27D2G/Ax78JZFmVhAXQnSO/kOW+E5sV6MXgQ9HZWkFtdhVlt/Wft0ub1loFlL7A7q8cB97/vOx9f75/f76xf91U/z/r9ef4W//Af/1+/+i//H3+w/etZ8x+4nRsBiGrwAeCcuxA5LK0gReAUhDnSdxDH0tlRfWnk3rDV3mahYABid0OoyxrVBpFxZOmTAGGXEyunDXz1Eri0KO2naFYrMrgUOVar0zJ3P7Ev/UlqLjB3ITclFHwrt3qn7jw7JU9ye+1mbO8k+zqCkgXem0f45rmccTi9oRdVrQ9KZF/W3dkG0YcplnB2BvU416edAJXOdqoKQYOMrh30RqrG1kr1HAEC7VTRrc2CwdvFvkgY6eqENM3gKDHfMY7abWDZ7DT1kUMjwoAsPY4ykPPqyctJj0ZSbQxNmDQ0YMS+ewfGjzfMMvRUd4duc56m2BARi+YIe5JEZTBjXZXlEco1uPY8AsJde14FTV/ozIf0QXL4UXqdBeUoQJJMIS9H0DaAoR1n25s4lyciDmy6/IALZM2VHGqdzj/vE637tgeQgbFGXXKk4faUbOx2LDrBiZn5z7Zy6GI1lZA048LdNCgAVijyb3DKVc0gQoExwMEPZ1HH7M06rjt3FqezNz2kzFImj494XlJXTPP7/pIJHJAWyVnNsYlzH54AnsJicbRb224isr5gn0IvgIRHTKm9yMlQbmMZfLhI6pqD3zyhAuwNrXYo4m4rzBTJC5DSaBT1GtHfSSvmqrodbkVVQOEtqUz8y5aNEqmUbYBJaHhTeHz982D61qgjTYP8EX7uqzsE1GSEwFTv3CEdT93iiCDStlqPneUu6ajhHxImRBDSFwnDtmEAJGI8uVKT9GMdu2O+IrOPdz9rjmQicaQ4VXwMirwkzpPH1h0rzg1sMNXtow8QD+dN56S2jheTYGcDf+AUGLV0p+vysKGY0z3re9Ol05RO4PuSJoe7MvSXOgWn1D1TguFRBdxnOK4hstG5ZwYTCDRVsid/N7571+JO/85u/80///P7u+Xx+rWk+Sw/MY54fMysuxtG4GoRlL4OQHJUBL8DIA4EtkhyDURuQHRCGWNWItnVHiKqbc5dGsaeeyb9bMqhYHVqj4ALAP/FKx0VTDSVcnrb25JbOBI3WOLf7/DL+jjKAeqFaeCt18eqqqnrrq7qKXd0XLlp107bm7ioeqDmA36KEDlSHhndt4BC1vqwBBzK2u6B35dpcUlXpEfw3QFhWvZVCWYNXdTW6vZLBAAuK9Aw2vKCsjhwTYkTZBxdjjCJY7IRmpMu6IFZn1d0LmCknmyjmmkRvymJDzXFgcQpweynPN925Q2nDLMovrJoSL3en7n5Kr+/LTAQnPyfogpqmCttlnDUXC8SOZvAU1HEca4pd5tY2AZ57bPf2bT2ZXYBd+0okr6uTvYpmK4+9Mnf5fL/3gwLYQ4FXWwoIki1bGJVci9vWumPb4ZENXkXDGOunT7ApLaFZvKgsXW6n1Z65r7ywNLHSUbMHOdz2Tz6D+XEdZ3XV2p4O2571MW4ga7SWpKRle4sAxpuAZQRM4LrqkmhZEhoVxJOyxKPgoQfEUdR9n/+5C7qjE8PyXtxDPEaz78/5eNxfvt5ff35+3G9/9YVf/rf+4S9/ev/V5//2f/yH/+D//Nuv/Xs8rk/Xr+qteXl+pBufDPsNNHHsAGCHDPHs3DX8VWlzpxKJDuboCfkwxcFmkLFCCq+dqVwGYUsLj7GcmbDSjvDsHJVsL3MyYtMwIyO/paFr90XotCg+qYoYpVaSF1+4y2YDac9t2Apa9UGrJWQwhx44luT5OWd0o0YC2fLwQFQJBsfXG3vsLQEUezHO1L6r0TwxrYizNbtFTcw7XZRatqGjHLG2IgX6kbTSlITlqP6+44zFpFgXkw4Xe+ZQv9VCJDCmesiqyw4SJLmc2GEaXmlzKschoYKYq4oqdCgbWiKUFpKNtnwHe6wiKBgohEXt7qB3tdhaWRO1huoGVKlow29f2EF0IEmIEEDRe1SdRZkJqCTMRZclINZRdigXosqv2x+LKtvMFWhbDwt6zjTHIVtRVukS5X4h5A4Wlzt5WI+TR43zstz4lH/BXdtiA7yBFpkZr01p78maOj/erUVGJ5oQX0q089e58BFnY7yrVGrePoJJp0Ozk2bJmapdaT2qVsU0IVnB5TCHg4277Zy8CZ1Sm7mYCp/HKitjcIjNI03YuI5seAi/Rk/sW6KLOmuk3QFXOK6IxeTBzOiMTImg3OzQec0tesQzL5rHjy1fZMljuc69QlHZW0WHQkBH+kSI5fW9m/kTyivE/OkdAJ3qRFC12xA4Bd8e8AxW8WWQlvkb3zZOujOMfC/ddZxLn3E+8jSMqQgNsZcxSSy45HjoDNGZGUvyd8xdPFP+OqQh1ivjsQ4duEZLnGGwNT/nl7lEaCK3cloTpuQwsk2CS3uw28GhylfADa0VSpZ96vWOnSMro6UBC8HsvmidjRc2hQlvZmDNd0LWi/oD6OjWgvNiBVWnq6cIEyry/KYgb7zxeaIcoQREfufJQaiNTldAm4KsX+kzzL7b4L2cP/7pH/yzP//tH3/6/PPP8/HY58zy/TEfP+P+OrWuaKRqDVE13JjvGZ9Ye5XJkUlqM3Mhcyx8RbHY5SLZSWnKKLpL/ec9t+GYLdWRMKwqLSEAi2Ve/mhmeeL5ETjpxHYGFoK8RcM961m9jpU/CqFL7DTCbRe5Ji41hW6W2HaZMOQAltjYqmWUr0Q2P1uqphjhW/j4CikrqxbKj6zwlqIYtbYoXeeLoocb/Pt3tk4zLXGlskkGcjjWZbRJH7obMOhIB2w2weIlCCgrbVbA2ny1zRKdcN+oT2R5u2QQMLLZ6BbfCp+AMnJV3ViQbzyQvBNEpNWeCLCoF+H/Nl8zHifG+mtJzOlYj+yLFQUUmPV3R4DoracGkQrizo7/HBetN+hqV6tprW1w2uORfTXB2ljkENWuZqwZYKTYiwVut3kf8/7+fHx9aAm89VXUfHKP4b8EZ0w/a9IxmJxNcl9Dm9AWZkCtNwFUlWUGnu33a0nTGpuITFRqprgKwpNpTi0D/+9FRWaeYSaqSda2vVUdsMujHcPrSsc2LyxPpr9vCRudDeNgaNdRBPumabWKqpnt+AOAjCNa9GmF236giGpkxZ3R7P3A+7t+/Pn+6cfHffP98Xj+4e3jD4/59U///P/59//sX3//db/247vrJnGJu211D9GdJaHVXos1pKcCj1e8BjMI/6iziDFB1qm3yJcQBgiomGZ1/RsFkQ3G9h+iCo02MS4hEkMBxOWtcNZ5jgtuexGaji6q12y1kExDguhO0qpC2Z0l/+OJ4Gbm01WeH6GJ44gIvc/FbTpdWNFsD0NNHnrkBar58vlWUqiJnA5Qn8q7Ik52BR50mRJWLXhi8Lzi3DyLHKwk9s8wDkqj00cY5bLfgAZeBVkQS/cProJsXiftHlkWA/LvZqKanoY2J5PppxMFrN32D0yrc4T8KSaSbQ2hSDx642+ohZ/GjrQlO/85gWxACeRt8pTRbnxQxwvczvnR2lBajXfwuKU9f0AS13im0m0Fv8PiPgauAY0X22cxXKU5s1pJyvHYuFKWoVJzUXV6MKe6ythrpigpUpJ7JIvADh8EvZJYaJ+cBy8UQ9GKEr8AG7FQTl+buj6tgh9bWgWmXVkhA69O406Acna1wJ0YmZ812vjtwZnzCBDpBXQrlMaPcPJCMi6IKARDTZDZPLMg+uWMij1qX4LWFCt9rgTvQMcRoICupn1LAYzVL0m/jovBLY1KOLwsXcMideNB9g0x+Oql5QK1OsYCWK3bl4AeslmQS0w5kXnmc9y6mttoVYQoILT1OrPSEJnEdnDB7JxOTbzF2RzvEqdwYzOxZgKJVFYcmlgVVI5LPFc8EQEeJpPDrPMbM0itw7IcQMDVlauaLOsy3eEYB0EWfuvl8JgHTkJnCLaxBTSBI4MHTpGMjTPM1hnGIW115f0whmKC4/ibeshDPMVRbmXYFEPWOPEmDIBB2UgKy2tORJ1K3t2eW6B8tyUPQksUuhTnvSzDw+khznUmSGaTjaq3y3tJgS4TjhY1XigJbayEW2yIddenf3r/6T/93d5f5ufn830+9t771uM5j3tv114Bg5rUbKG1W5BnvdlclGdBSpVOzomQ3pkxS4+vs77rKghD1mVsf6Hlc5TGeTm2KIRODDpd4bkXoMeIvLzEZ+2oG4shptr1rISwnrKuJFd0qsm3QhWuctKTCVQq7ue97FKpStVbb8BFlR12vDNnuwlUtmu9bqC24uLDDOElauYbFGVPo6o47cAyszzPTD6SuOz/nnM2LmAUv15vQLHEq8Iz7E3FlyXnkqfhcuMRaxV/bFSz3wqfhEK/6fr+6jf0r6s+1a9+/d3bbz69/aqv7+r6vrsBbl3kdTm1COCbPwn8EKwpcZStYzx/eI/z+pSO7wiRxDGBI42FrO4ZLEQoeAw2gOEpXQh2uUbCs/ZxCoGy6MdYXxcmBr7Q6C6yvFSmKn16kV30Sk/PV/WyAljZj2UF3Xp8YJ+8YLqlSbKurm6imj6eS9tGmPgxW1R1+N0Vy6s2XxfYtrHScDaYCSTsYrfibs5aqLfdXCc3GbZrIIuNhVQmW6Uuj464dXK156mXqgb70ihu97nWx4jciBWQjQN1ykbtaqqEq77Vc1XHwI1NkK1t7B7POqzWujKdaDjPHdVz6l7cN+73+ennz19/+Prjx+ef/krvv//0w+9/+P4v+N/9f/7Z3/6Xv/6Yz5feGpf6TW/YT3u80Ma5h8rsU+TKnhhZUVURzpsE1CGVjBMYGWKwYCS1nMLGgDXl/IkAwC6rdzeyfyDVGixLWZSGbJRr73Xo9vbRcsOpFNPuoRTBKo3vCZbqbQrZjA4xs90FEsrEJnk2Suv1N0nR9BgslAcczo878hFb11QV1mC7vK9PIl6qEx8KphiNDVRkC95fxqg0jaIGfjIm72iNsu1KchQ4KovmzX0Y5bQl9x6BldL/oIAlIsXZBRWpmkvHM+DG3NNonez+5YLH6RJCgZdnyKy4hl1ALcVPp2ZDTxzfI+fhUgZzQNRY204ecFq5w6W6DtYfYFU07K+cGaBWXnTPoud0pCAiUV+ATTTRHSReBAcUY/pLID7StQTUjmIpMq0QMHcumdR0bakC13Ot5xHyEKg4JbjXSymzv8QoAMNBkVSpMxbFsEB8XQCuNBQUWUIaZJwvArl7z1hIopwR7qz7VSBp3wSDDjSmu1ucPF5vBkFH1BJ8dFRgVejnZHmzYOUa1DoYQkJK7fQMOoWlT2lKP6yNFkRYoQx7gdn1LCyNwXkT/otZ+5rKA8PH+JWn5nBjEQSYOXgZsjA0426ScAPn4Qdf+pVVDwQ4qaaXNDpovc/aMrNQ9hbCWsFeLO8jD2ItxWPsZthxhaJD2bNOaVx1mpXXJE1B1s4bnyA5mtPgGBdSZ+gzXdkYoNRYtuwaF82tuPnrwOOlUwHLh8HWh9sJy1G50XfS+MGpSXPRwjW4vGPhmGAUaI1OHRyDW0tCKGhR45kYpLoPFA+eba5j30KUTmrLMShA449uBjMoKEO88NVrEjF8BYQDe0af7Z8EaCFu2g9w12u2QdoS2l0dEcLF9dMic+5uohKTBL38Ixi5mNLVGlbgVAVY1P3ddf3Zf/Pr3/wZP77c+6Xu98UNaB+Px/PjY28AFG/HoIHAcYnNs9xCO7DbiF/D+amGyIZVxNWoYl98u6BSN5o1Hp+idvd+7ozs9aGS0N6IEEgMjQh0T9pdARyzwxItd2nTv0v2GTZV+JO8O5C7Nd7NBoTKAMEy7ISAubVunplnD88RNNFRZJhX0EEDTELg9NPIOH2e/1k9zuo3qMG3Yi1sRAXbhmIT+lixjrK4EHFX3cpiSyTYY2BX0Bh67JCtinbWXTElkh6LK0/MIXxi0QjzNvvtjfXW13e8vu/rjf2p6m2vT83rjZ/At8bbEei1zVyDTyTyc6oScesVYpMQeGRFOMGWLC+VMC47KhFjCC5GuNwX1+eKlGXqMMbJwu2bWtSOR2yritVbVL2hWuqW6uor8/4ShHA/NRQPY8Nqa348LRbVANndpd37fe4PR+8mB5i+2D6FVGFUdm6K8wtD8Ru2XI0rnzMjmBxn5LPA8llzCDAc1xXQBLprNS1Y8L72cUnNIQm4IXUDLKILfTWvvqqsg6q6eDXqzQ58/3+m/qTXtnTLDsPGGHPtcyPey5eZzDpZJFMkRVIiKVOUBMsVYMtWARuSDFg99/wL3bJhqGPAHQOCYDWsltVwQ7LEKl8REffec/aac7gx5rdvJskEI+Lec/Ze6yvmHNXMyc/okdJ7M48Xs+c8YxGLpJFx82fvaWH0XAx3XQAzIhSeUU16r5xB4oZ1GpxdH7IbDYy/Tr8PPt7rx998/vITPp795f3j/Yf65b/8p3/4N9/+jf/sb376219/fP76Md/X6IGGuoSia+N3jcfG1MexEhwprhiml1EekSLeZKzVgDIrgHBjgxBzDq3VEoFV/1KpFxMZRlwYOsXXKYyzmtWbZBnnpBbNJHcMPfgt7YZ5xd9I+rQm0xdS7iUKdx+fMj3HiBx7zbWmCjgsK5CifCIX3VEZM+AkHhMHUMJ6g2k3PETExsMY9A3j9okR59aqBpI+uIU6d3xj7BiRokWugA3Y2kduJLsp8hlsOAfgE2SwBYS3MAxizDWShttL87F/V1s/2XsJLNfjJSUSIUpJQzoUmQnLuLHYt8FTbUG273Tlt16y0Vw0ndaNdu0K4yyxk5oKAeayVSZ4tRslezLCCgRV09pGIWK8ADGpG7fWTpTkkVTBQGonBKLutCzpv+ZbaZTjN/UT41IhlIeyfoSt0PISMzkscaNpwxxn9t6pRln1Ihi3GErrqNd24PZIfHXOs5rCrf5DA6YHSFrZGc6VZ+L9hmOaSvzxCvXI7VqWJ0vXG+2G4xlPSQs5Lm2mjfSulckHr03/WRFC+0AsEYTnj8f1mdct0rNLmQw0vHRGGEThSFuS4LRDpc7KOD5pJqgzFevph3DEImk6QW46wqqAsOW39dLtRKFViAL89Q4dqJ+9D9lpd8ZkVPcOhrMx1NjoVWQMZnCysCspdoczkfLz9rZRLzzkzHb4VrwCvgwwKQB+oe5cD8XsuuUKgEAkfclEDXzi/1IGYDuzFPSYk0A7NvbDprQJUJ4+cQahhFJoHvS89ll7Eh6QXih3rb+hZsawtwyBR2O0Mb3O+KzRvCPQU1lk0bkdjOhVbeP0QOI6ezAATmYW0znkUHeBOMFer4YBsDVIzwQ4f2AvirCg5snKP0WdUk2c28q2R2yFZotBWH8ZcN2bElBFA3xffKDkef7Bv/Lbf/wPf/F1Pr//8DFf/PGu+bgNvD/n/ojw3liuxgWWL+YLpz8pXhV8yNRJAo5xx707X1KJV5WYWGOoTDIiHBM9Pbc78UFmLf679hPtbcG9coTDNAMMwAzNUdJtk5r8HJCHTNzKYGGN9NBJO6kVs4MTg3fGRgCHcjaR0QEELrIkcmJv4aIknkUJy0FM8GJOGCFmwnkvDMiLhJ3cAMbAZ4MsLw4dm22EbQxDzSQQpvtcDkqLk22jkvNn/1ee3UQm6nyGTQlIybRQBCTX8CFRkdFWlR6AqHK9TZUel6+3erxdVxGXJKvM4okCieQmotJZXvmgfQiume+1F4N3Csfszn5NWCKTUA6NvYRSjnumy8tiADu3APOa225ntJc40DwEDgvWZZO6t2yp0indmIVJCuolaSpqriv2vaqG7Zv97v78MTdA4wIpXQ9dGvFSleoqyWcq4ewKpIfswLmgppcAWvQ2VBHvjl8lhOK2mhkGFk711VdMxMBoqZnCV0UQ7YEKdFVdJV1VpXpLy72lsSa68pQggU99kCx1DHxjEwWXInypRWm81mgSleKCW4Qt0rgn0gGiL5ruXDSU4ea44e6RUGyze9ruZ3/+7I9f6zdff/z116+ff8DHv6h/9sv/35/86/on/9nfu/7kt+9fzvd9qSqf/9LlUC+sAk1eqwjXqfMoHtdapHGcDdiipmYxGaZbciCihMCNk04ZlfCLOdTE2pqkKMRgtsCNvV4oLpQ3tDMBYmL3bMBUj5YNz6PLXE0YY22eni1S2MR7n77fBwYIopCgjcgYexVhQXa5yBuwjOGptFPtb2iUO7dieI5w48AMXYmOOo6c1dsNN6k83Ud8iSlSZ4v7ZcUFiBEFwjQSP8lj9WMkKVsm7qTIgygmb2mTKlLFR2fBFclOToCN6UvoSAB6DNoJGD3MIETZ03UmLcZDn6ZuxUq9gEQK5+DRqa6CsOzrwUy47KCYtf+liCGaHu0n7hxG0LjkplUImon4O+5dJVF6peSpU+JsLU/D7hdql0MKint9xd7sCUy8VWtYCsOVtCtoA/RPZ5kOADlNtwAPBbFacGEJpsVaIhwLmHKqtFVBwChq4B7ugAVjIbS8DQPnnF5JKtM17EvJJx5nKs2i0JC3vQmgMUOjM9/BIc4UsWo5jkOyjHLRJcUhN6wxSN1UQYNM/fDcSDwh0QSM3rHZhJG43fgT1qdssUOBbq4KlylNFA3cA7Rm6IO4j5LvXXPUdd6/EuNB5OSJKl6smBOIJKxJ0CN1ViAkBpnxCpPWHQ+vpU4rliBw4pMiNgW13XhMAHkr45jltT6jarvHM1AHTUlanYgKTNaM5iWlBZZeGySo6E5tFtGM9gzBFbvK6bLGYSZgkb2Naq13O0DeMPkVMn3ClrBGUuBMzzBsawOmEoBLA67XUv1WDmUtZtmuwBqDa1H4xXNCxgZbBxxZn2o7xExPcHGxSizodV5ApGYSZnHIfMPVgBEbIEB0HgQGx9q0Knnu+vCKxrl/AVuzXblotHg/SUbVmjvARpS7YbaNTPlSx2iw93V2IpiQx3UwjDzNwdTo0VTz7Y/7D//Hn/74Fz97zpcn5h6zn+I1X+gv45ucwbDm7WgK+xZ6U4ODFSJPS3B7z6ai5kFdgFD0JVh+XNMXbngGV5J+A000/Lz6HU08e4bXQgvGaWJrhZtpkejTs+/L3MYv1XbEiQsiCRHWRCVQbAVwLx/i1NBk470GwNGN9tSRYIQ0udVbJnUQIcpnvgBZleYyXlVqHUIWfeXwS97rYjKM2yaw35JmIYgV7UiORqXNJtMqGDjpUjlSHTQ1a20WXSIGWuZP5Khzx41jREnAA4eE40dVMdbpcUHGfeqHwE260sZyanihaL1VqgdkcllKylqpUk7VjEBOogTz93PQntuIhteWISCK+F26KS5IjbJ7Mnlo+XHEtZyr3G2jR0nR8eS/AoWqofHo63r3zNzD8sO2b0eT69roB2Ez5oDr4iW3nxDwlKGi1B/u5vvXrnqIvEqX+nqbx9XifV0iZHQKgYHc8L1dcY5+BliHTxrsKcxQYt2vUI0cb0SmAaw0Jeqr1GRjq290gIaA3Gl7LkGckpPsWtJ1CYRqrbm9jB0WG800olrXVAScHfP8BMXqeFZHRq6zyC60jdghfLbOU6JVsWJHLQs5Q8mlIfWWSrufEKqffprv0JfP+Okv7q+/eX5t//TUx/v94/Of/yv/k1/82/+n33//R//DD19++O6HX7z1bz0vvpfF7wYeTiv+dV0FaEqqLJQUKnpNDwq0A8ysJRiMPjmV93Y2QM6Kgy7n2UYiI1+xD536lEyIyip7HVlgkNW1u5Nw+iXZkjXcA7qiEMxtgZmKZ02LSIJJLHpCA9akkwzLYnXnNmPCj8uqkIdHDGmRC//kqrQkuSM6CBDhUz6kN8300sh78FJhxIxjMI75hQFj4YkwESvwFG9tVChE0jXR7RKIF1FhRFzMLX0e5UEWvbk3fkHLuXeDZEdMYdYsihtx5dKcif1xtZlkrdvulUstZuuAcRyMZwTuZIf7BPLY6DkEs8OUCHGPpfaNFsftjVsSIOAKOu140E1CeA48clzg+fAT6d/qMoM+OX1+bjMNMFiIwHm9W/CtQVYJaKDJTl/X8ax7kBxxl5Yd3r9CjUBEPA+Rro3lZkEGqSLSxOS5n/dNpKcOMx5pf57lysXIBTkBwNIGmiwouFC1FjTO147CxItXY5NQsMeFlz7aQX0DnNgGejby5bRJYY8l21PzQuI4UUtkcGSoKzE0WZSqtdGgM9ZJmzTzhPitlkjamHYFcsvA2rNuHTLahRIV6yajMrqCntNaxrpXBykrLjePDEg3MBYtj3kdGsDHgbLLcG8FfDOUAjqENhfXDOm+DwGHZzA9nQ57GHD5+HIJcZqJOxDhcaZXdp79MtIRUplEBZ06m6lTyNgAy+lymNJ9M2+4tdqeNitLyb2zUL6MyQg1H7+S0F4T7YH+A6sfWuzUUACtgzeQZMT3jh43WQBYt+y+jGTrJy7lIKZBG5j8ikUnnLTFLN8AROe6jikFqeVydqQyYQYUAht5t8gS1/wcfjJASaQArw7FK2ri1oY7JCz9/TiKz5BR3JeUr3xit3KX4cZGvib/j9hoObxS3woFtdBFXXXh+69/5e/8/A//td/7gufz6f788f4loyvw8fXuD/u+Z1GRThKQR8pcqftFABpolbpA9jTHbTaRrLdYDxJOpio+LtbGSXoYaAWN7m7fdienFbvK8pjUzFJThkXlfzZwlD5w1T7HyN9MVWk56LZx0ZiiWiuk5+74sPqU1JMYWF1ZdANEOylDhSuZGstokpHrIN335MAgsEHtDvOe4b7cuxkbjx7ii2TpYp3LY/9iiJG8sxDh4/U5YlPjFi2q/KgB3ITnBP1OT0CyfgVwwkUUCPU6XRusYaFkXIBclR0OsalwHdZD9VA9rsenelyFQl286Os78GFAmckp1vS4AvdhsUdyt9HrGGGl7XhBU5OT1OZgT/w4a0Wgc1ZjlRJ5y4SZ+BakBFn6ehoexfZM2BntIHUBvo1ZxDqmX9e4Chrbt0JzqWBzTJGzcUYE5u7pfr+f78+ReYVAuK4Vsgl1QGeb/bof3Zg+uqOcFem6GPGwU6tN1CDCcr5Ec4NnzQw4STxdiGsRyvBpn0e1Edxrq7gKV2VNpUwSqaq9oBDXk32KG2LpYM1OTJyMVN27OswsQFe2JWeDuBTPTb5uuJj4HkL7LXqr6Lg9A1szyY4Wuz2tj2fP7fcn3t+fP/z6+fk3X+6fnj/+pn/8df/w46/+1j/+0//pf/xP/Nf5uX8zflLm1Zx36roKVTEvhNkVZJXSsW9ZCk3ZtZqKsBRRDKfF3hrY2+tGarFVKDcqKTqduNsYnuZVXp0vZR0+LVed90ViIzy43WWYA0zlvKJf9sc8w1Q4HveMEIPwkKDKbb+kB6d0WiPPKnSGHrQziWNOqcSdwLR4y7b0sT+EXMaqBsq7zJzFAhktpWr2kndbBGALuQCSSycFTQ/A6TBqC1LlyylpUWkmfaQ8e9V5I7ONaS5LdzqzoHcb+7HoYN4YOLNDIFM+reoh0wZyhYTxsV9YYcRUMmKs2ckBfBH8AHrj6BZQCww8jVHNRobnVW4/GHMgMHC/XWthjixpu4DksCx5hrBMcOVQc+61Cn562tGcVxt03pPtiJf4WWeNxRiAhSxpbOYewZCvDFxjgglBTwiDt1ONmHaVzPFcyp5euuv0Z4OMKA2S6lXCZ/DjnskL5QTgycvEhoZn4Bf3hR+SIg/f4/YY6A1Gix7dHeBmfFLcFsEYMBNvwU67ZCZFHeTsTDpsz99B2baU5m760TpxlyxJpXSiKrJWuFZ1HnnpQr4pCJVUpdXKnIX3AmmznmJfG7snk9ciGXbw9ZwJ3FNoRZcHrQ7lMu6lF7n76tU1a6l0DFYJM/z2RryFaFrH18bZfnjzn4Qej4gMScEMGnVHKrKpVEzuMzxaxiZwUg0yiGMxdx+n01I84CKUoYUJ1Pm3IU/jiVtFS0ZgKAtF7Nfmg5gRc0szZZWn12wYEKM9zpDi5AsNjHtR9gtEojRA3WaTeiUwk0ltXlGO9wWe+t+hf/IxeT4RydUuvM6LXIyzgVFcjYaXFJ9EUYQN2jKNS716AOygipgfVoK0K5PIngj+H+xHnvijI5OJrCMCE++kaaw5dHGmh4diIZG5Ll4X5J//wac//gd/OH/ywzz15fP9+ctz2m94mxvPL8/nEz3ceGTyED4Rx8MrwAvEtiw6qGDPMY5Ujs0xxEdJxYvB5vYk4xZLmGcgJ4GRc44YJjSLEHZyiLhk494aS07nzJE500G+Tos4W4lcXrcYpVdwA8Z2DzwjezoTuELYkdzRWHI0JrDrRXSu4zksZ/r5GjB8+WZml/bFVdSPxSyKbfTSow+MO8O58u8T0hg/KZOLhnPXWMkeRBZAe6kLBfwHtQmJEbhGWwOCFbkCOsbMeKAfzUzDzlcpoQyqqqhilXic1xspg8d3dX1HXahLF8BHocxLKI8GxQ3v3hWw2dtACnRklKuNQaO3J4ZPMZEVw71xc1fvCFVk2gCPcy7ggBbOGE1PT3tTckIxJicsgmgLuGoetVS6C3xNg69AwpprumZ3d3TuzZEpuefj9jyNpnAJ8yliG5KagnesK0DWVmp2LY4+r6SGkMnYfc51CzfDU0/qVK+8DAtjYfXBWBW0mxsnbYQ5FezbVbi+r0fUSMp1YiWqbCzxOlWGMXK0734hUPh2H+ViZASIw8zMExBhoeo4qmZOZs42pDNtUirSqctmoycDuXcE2cU2JrUb5zlPP/u9vn74l7/8+OGnr18+8+sP9evfPP+i/oe/+j/7rX/0H//5/adfnvOhj+/4vD4uCugbvc0uw4XBOybCixptDk2Wn9ZVyNzbWVskVyRCLAx0GnMHffIMFMh169/gCwegoo8EefVGM6txTPk/TPazdjCNjm8w6sP0/FueBGNCOAvZGXofLe3E1evU5Q4KHoRrG5mMM8nnIjYlgDlBtxtblWn+ZwyKKc9oeFZtYCaCSEnWnpx123wPokHI4bVlus5cGG3iuTFobo5Lflnwm/VGnQr49Zi3A6gUpduVngoR25FFBq3TreXlyGc+XMqg48lAwtB8E8SmiK0ihyn0uOMXo2LbhiLyGVM5JQJApRXn4vaG3OOpXOVBjqRFBDlgp+DMhPGt1VMUvtD9dEWRI8z2OQs4gcYmjifkjOkrKniVLeiUz2cqZbzJNHB74UC/fGCBi2YjBPeQSsd+CFeClqLwVjDT2BAcNoa7z/IUFC5p75jBYr3BBqJjk9e+kXdlgpmmyi1fT6THOeJSXlhMZ9UxY8XMMEwoP7avw3ZCmdBM4ky5Hqz6iYzBD7X9kQkOT9BSQLFlxVeGnYogkiMfIeZ+9yzTU4IB3AklBCubeK2n3IeerNc5LzqG7tNjKl3Ry7c542mBcbcEXMzBssU6zxNOtZVQot4VfzJFd5vYp6gSBc5BeM4f2NkIkTiTYFXmkVIzk9EU1kRxYzBDC4BUCkhDkQXtWSkDN8NurSs557beAIQr0Fgic7P/eNhsCuXN02eO0vywIQJJbFkZIzaXa4or4kTcRIqFSWufjKyoDSxnHsQyFSatmQhYMPkiM6d3zHkKewsorhvINCs8FWUl2Q27N1f5k9+50YXr1/XRcCZkbOv/yIG8OtL81xGbJ25rXahH5R8chy/+QUmc5I5H3AOF3rG1L+4Qk/6wALTLiP5TuC5cD+oX+P0//+0/+Vu/8/z0y/vzp+eP99evLqhvvj/vL++3b6gR/YEBrd8qkJZ34btXRnMMICnxslgHU4yaebjxC5HeksXEm2Qp3CsRi2Zmz50jeuQ58bHc2zbCmSAd44ug8iWlxdjlZ5DFGJbzHjg0O7abJVqUOLMg7Q4APPt9F2oK2x0hfrK/cZS4duh8RuPjEotUHEh7iscWcDYS7eqc+tsIFBnW4DFp61MRD2gWTuSP4xMWw4BbyrxZISKDA8p0IINdSDlzMWKKjnipqqVCwGwoAxATJmjOXQO0NZSViJmyL+itSb69vdUn6iIfInk9CvR1UVdmuy3UROaM63WKg0BGP+8pFlUKjrIcMHiH5z3xDlsCbxavN806G0EZmqBob4ihb6MpTt0EVUIVeAI628vjbBDPmXRm2nRVAtV4JX0i6foaFDVDUig8Z3q6G+431iWXWA9fukRdWv8yMY3nKSdzLYcGqV2/R4UAgCNCrKQYbzIpwT4M7mC0wUKiPLXnCZZMFyusTrH4eLy9UdfFS7pYVbWGB0Elin1+fsW9gSWgkW0QKIOwd+Z2InTJhaNAEKNa4WsEnzl31gsqUuXM0PuGNpmOsz41xdzPezYgkBl7fM+8E1/f8fHx/s9++fmHn+bjs594fvzqpy/zT//+v/cH//A//FvP373HVusTLmv4uK705sETxOzu60B11HCLkcJmJne0ycS3KuhRXKlveaccMCl2WZnFc+/nT+Wq20MZOx0hbc4dC+VKqg0o4oqA+tuQhGQhgKmsrFW+06xNeomEMfStcshr+3mA6IxlA08KBzNeDnC6k4Ou4syX5rZ4IJnR4ODpV7eEOgOlt9NZvyMaK2vKv4Y349uIyhruOecN13mXCJIgpFv+4UiW88n29h8in2dAD6a9Xc23NMQF5b2nBBe5WXBMQWTUPUONtsjOoZ1CcFueObB4kFJUAlWcPkPWhi2sEcZLptMhclPRY9NLuNtFJ7fHscAeyp/c2Q1aC+TWHtgCY3lOIiPG9k9kDb86tJlpIiN8kgmYd6bZsXHpe/Lp6iA1wYKQb3FqawG7A51OZ6tXIBE6r2W9IqiFRLl/n3/pp/AFeMIZYkYhRzCG20kuipHDCh7GpbOaaZo7CGBeZ30iluK1wcygOwkc0Qp5a+IjccZoGjP2fRqpxe/TZnYCW0YDMIFSM/nme7dsH+uoNhIdwKmQTsImc5qeoR2Jnv0C98Q9R4IHclN46Gm/OC0twnzgqHC8dDDbNBipZ06K24s6P2TdaT6gsfuFUdvefGwu+sJXc6cBdxyfASsU4xnjLGAYXw/FlQwoUoXwANm0c0QobtMMCL0GU8eGHJ4Cvboex++UOzsTwbfVTZUWhCSb06cuRqqwk+fzLfK9NuvPp3M3vtlQTDZXLqF9W9PIho3+MSkIyfzaJnZ7VQG1ht3oEAjiSnucs/7cA7bX983O7rawNr9N3NzWygjNYuaFJ1gD2de5J7Q3DjYOK2frtojLiHEvslmGLgNXl0HJ2DICjmP+LDBs6F0iv4XZxIkRdGX4gpNvI4AXi1fxe3/X3/1V/PE//L3H7/jL1/f5ge8/fAgjyej5wPN5X0OPOo4dKaHZGSV3ZHCslIFZjcB9gx3uSjPmsXNc17joynHfcVye4WToQbvTnOTo2FOiaK/3YfOlPfBAg0osjJgMcDaBJdi8+IVYS48JwKoTLi6DI8AV6bznSbLhwU0McGPGsVRsVngEDk4meg7YRCoSrLMvs6+jUDtdfA0TmlSgphSJcVGDgoheMeoQk9mp2ySfGh5kJAysRCwsKCZ4XeA+911AKlHY4RvBu3I05vKhlNFjvMDrrXiREYMo/WHaF111lVxGjaovlK61CLH68Vb4JJR0PSBepXozi6wiX8iApKCPHcmT6SBEqy6OHyAbDgaLizQHK5zt5klqFZ4LNCmibg91GLd4veQBhi6snnGgii0z6UBEobl5FVuCB7Hi7SKTFFFmaPIQlSJtj+9391f0++xH5jy+46VCwm3Ax5vSjFWyeto7dcSHuTukO1lGjP4kJrHMPjeJEd4QEdkMFbhhFTnEBVAVWi4N55vm7VH1qGtlwKR4gaLqOlWQIVwGAlDmetFeeTTCFwqWVGdb4TSGTY2iciTM8YY0JbhDbjQ6tLvEtewXU97M4uVDXgao4KJc/sbjGTzxbL+/637ih3/58eu/+PL+L3x/vb5++fzlZ7/8V//DP/oH/6s/ef78x9v17J+7DPVcG9qbbFJxVGQFjd1JMGdXQDBKgdppUhUM9FV+L55zNrMPSTiI7Swodi6SCA3Tk6WG2hfIVcLmPpsTTZNILy2Sd3KtNgWLEqgBpknO3uOddeOEojHgBfbETGlnbk+9TTW3pwmNSDK9DekG+sValxaKTll70CvPArOpxiajZIJlMY/yoOtLc0d5Fhrg4C1YC8WCUjxH0KEfooEd0pqoNbCdkSCJ482U55ExUGepBN9IFesFzQ3G7E8nDGLdsUfZ4ZnX3GcDW+incoNzDwxQG6R+dHKRFmUFYCepLIPhFA2JF+H0gtQOHn/+5vD0X0ScbAs5Oo8gcfCnVj5rzjCYgQROi86Zl/oqwMoIcCX8DXH/ef+rE3gV7HFNzfntC84iyols+DHkSnKb9VqkqYdCgjDBZSk6U4Ht7WM0kyMbWao3FTgyV2/Te9ieTMUUgKHojpvoNBfLmx90Pm2Weloe39EhAT2v9mMJR4rjQSemxRjWjlWpmk5NjCO78JL3E0Nh8m+97e0cmabEU2Ni0YvNPAWHRQxKbJuqfP7dCfuc9ghhdlZeMstoGkxcAAF5Oq06yfYKY2IAXHIPp+HQDpi09KBiJiZgWYHJdxcHJBwSNRqdY+q2Lpw+BX+pEUz7oYIHnat0tiTfwnfzgK4KALT98ak7mJpscmpqESKFACXYOwEzg8VSgR3lRsxhA+RLRMS5wH6Y96BmPgi2sRaljTMz6txO2ETn6F7OqIf0fBnLCR+wI3ffNpLgys/PGvHs/EdIfmG+wHhYteCFgZnEzMZ6CqCgOYI4FFe+5q34F/LxCXIkuOMeuAmOBjOYa1n0TTnNTluN78txjLBIoMcnOiYNktMfFdmst8ursQLMEenbuopTRlXVz/sXf+e73/rb+uj3+am+/vKjPyZGGA+e709+uO9TixCITkDRH25YALsGcx2YD4AKFlc4ej5uaNDSSfGNBGxaqJmbfHiQGdN3f4AXz45YJdPiI1tduA5uk1etQ77Qi4sQezak76tFixsZ6WEsrMAjfwXK7RcXth3/tqo2keY3yJe3kY6hP7uBhCZRWge02ovNS+TToAozM5upWBG8lzQdOUICvyMSUkafryAppbL3GAsKBx+WUH7V+VGSxmq3UhLA3KeR3lJ5E3U9HnSPqnRlmxbfDPIyoRKxIenxi8kN1k7xRD1IG9MmWwZRhX5aF+5ZDORkVMF5EoEYIi1RTq3acD7Q6CAHe6HJM5bKtJpT9l25u8I5QSA6MajwYR0Ww7RYdWadjKCGYHFHWvHCWTAZjee5Rdrjq6bnappldgiesS6ImupnnuZltK5STwlkFx+SerAou5e42BuGC9O6t1+DOBPveXCCsYAGKlhxESPtZ49KKM8vtwsDAfJktZRUfly6ChIeNNe6nwMN7hF0B4jYjFrDFk/NDjOnBJw1EnnKsRANbtEchYoYjALwNUGhO3dCbT9KAposOfE2d/iN8RxfwOJVjhWQHQbvelZfH4A+6svz+atrXPKldo2/vP3u49/4T/7Ok/3f/F//++8+/1715Yeb5sVg78SZNxfWEQBYm109KrFnjNqN7c3YSME8kNDcpDdv7jfRN6lSrkSstFdG5obuaMccOTlQao7t2Qdgzz12HUnD7uasI5vJwicBr2uZuL/ZMfeMmrOSElOwYL6hKqyAbgtWwIRFNcnU8BB4cmNxhAyLTy2hloXA1B4M/w/1DJmJXqkSU0bMQSiy17KAsPDywqyrDeb5cJlinOIfBtmatC14kS0ri4bIRtMryOmGnaCM8laz3pk3kwniGb/AM/8SIscjMSN+omJakT5DLEdPFflABJ7E4TmQwoI0Bzo886bh22SvFCVVwBgoYpBx32kiBJxDekmYgQsbSJXHpIWhQ3mf0zJzzIIl5t/w9FfAnEGkjT1GOyjz4vRBKxDE6DyPETk7wCGi2FP0eJUl1qKZW/leu0xgTILdU45sLYAz5i37gkaMiw3UGMJMdKDjrQw43qyOOdXZlmTYcSSAS+yJfWvCwc9Ne9ADkRlesb1FpjItvT1pm07Zxtv3xTfSyPiJU2GbzdHOlotWLsoExvKLDQcWY6dKBxTYjQTGs+l8rxxm7kM6Tx6rFN/aAGZkaGejaDDsANf22cmAeAKCUId5WVvRyHUo/sEIsohODO9aY72QGgk353BKWzwDmW5gpVPpxb5Ri98kCXg9ICQNpVTFxmdyPHTqVDrxVZnrMMAGwAWhVmTAVWiQtY+ut/iYVOpMJoIT8/06A0zAjdWr7Q/VNzHYt2qCMLBxGV7MhuZEJ5Ci1TGfYZF/x9EEtxRmE6tk1T1TDsB4XHGYE/oKAJhGXYxrRBnIu86h7RxzlGq2XS7g3uj9pVRSL+V8DQcwKwzNrW6W5gyOTQkJwUMoNXcWVN6SLKcyCLaCg8LkF604FArxEzNTXSNWQX3Vd/75nz7+5O//tn/r/unz+8dv6suXL5W5TM1u3e/oJ4yZmryYbeTjsZzkUQqpWKIOQ3wd7IELuM1iXAraUaS2pIIxUSB4NsJ/ejBDtFh348UM8Lrkk7O8Vwq2jTwRE7kkkQ59Ir4bREpjDEasLTqJcesg49mBzhHoLBaXeS87G6uGZhFVsM1N16Pja1BaIoa7xiKvOdLTlSZjfHLCatyqCxNrKzlG3nl8Stz6IMtKPJKDF4u8PzdYWCjmdJ0QNieA3p6cHm28Da1eiJ9XmRcoXQ9C5ltV7dwxlIJU6ErxoiDHdYENXLoGni4TD/uGHyCAp9UwNQ098HwKuPeqwXh0OFMBdvts9gDOMIk+aqrsYmtigxfcN69r1lnQ7LJvkOjwxwIvc1hXD99gh3EiNAmxC5Q5BwSI13kwBG/rNNpZTiauRHchJ8TGLqU6A58ffX+Z53Mu+DuazybBUkk32svnL97UC7FA0oQFCGKZK6HDaaUBTr6S8/x3u+6zy6D5wgRWTuRi6rCRpPKjHkn6L/EqgS1qbiShq4jBXNc1DbmNuXuKepoyG4PwztzbfuHqYMcL4fnVWYvJOiVo0UmmDXAhXhhnMo1YdpMsqRvlDJ+iOxknDNfauCo3Z/NDH96ETt2YuaY/un7y9em+6hdf5/kX1w/9O/e//r/7a2/D/+b/9t/j8++Uuz7NxC4TRhx0zw5fbVPsWcl3AQ2QgsYTF3iqThmOXQWnrV5coZGZ0xPebMGx2J3wrWzHAlGVoQfBP5Ml7xSBsxdD8sbT2JkVvclOvU97F/0miTk39Lr1sLXgqMtugU02htOBOwoc7NfAaYsDzOZdbJiHzjcJvXVu3cbqNU5Knle1serbQC5CMyDbHpDeOncDXkBs3EXg6IiTX9/hIEIzZq6wxdTSJZEgGq4tkGxCwxY58fhtTbWljZfYz+HK2F2A9JXMIkSBY0mH1gulm0AuG6xiBzeTJq7X1X/Plm+AeRDWrXjN4Sj7tjx3sUZT8EzXKncXqOS+XS39Q8K98yl0HkxO7HlV+qxZVyUSmXROzHRJE3rH+39eB+oEzMLeB21XypcA5ynp7eDYdiJVBwV2YlXlzKqxrrwYAb3Bilg9xZF/5QYErdT++SzZzl5fHLB7ylrKSsHKU/eIOCNdcjLewwyKzdO7t+k5f3UvvEngRn4DoXutLguejYcsjp9Cxb5DZ9uxsItgYT4ewG5noaTE3iDwoSu9A05biDWHxAyYbTlRYu4/7vF/cAUgryqw784gWZ5xxokvjbY88N+4NLRaBnoBl42Mge1Klz5gNdaKSQSbOQTKKQsW6njJ4ORN0DxlDGLGA6NGCRgdHT6yGZY5xVaU2ywFtQjXSUiZc8Kz9fa2sJpdVMaA5ZMw6TWLnG+vgdV7bFGd/+/WcVqUU7Cz12uRCB+wfwfrHQMm02YTqeC8KCyTpOM2MVsYYTfPVEr0bemMZpCibRKhxNTesQ569ylz5QhO2g2PH/4QCBESY/NKcOCgQ7fGJxAzKaCZPkmPOwAmjRjnzNHAkum2GVEEwEsbmMTTUGMnJIiw2r42CmdIXf6kT7z+cP7GP/7Dn/3p9eXj119/fP/yVdU3qzzV7fv92c/bqQZyQBW02blu4JLAOwdI7h4AvuN9a5EfTOJBbjKarIzsDW2hSpygZ2HqfnIGfY+nkkxNkHL3TBbl+Phzse0TlVQiBVsCdUKjPKn2yLIsjlmHHsozpDmO0HofWPYo5pmurQelFT3OyjQIj+8MastEOHea19mqJjA2LzgGXpKuNAppc3C2Su3tGU5rimeiQOWpL3x15zVPuWLAWq1jhGiaGSbK4C/ReukVvBuXzpqp9BPReLxBVyI7AZFvUPQkSYkX4KUAOsFyKtYs7AyNxhILVw4M3frAQBdSdoxjZOod6zsBArtBIKPmQ7dtjviNJVs5iW3MDaqc1AKMAp8RBXfEmFh1acKUyzF/3Zhn+ybmkgboAOBkpv2gRNu8VJnwe6XYUjDoeK9tQsZtitMiB7KMnr6ffn9+dE+J/ACuISD5Ap7yJ+FrfJ3xDBwtR0yCOWk3Zweg0sENCfbQ0fmYXHiqU3QF21th6IEca8nHuFCkeRQf11VXNAIyUDVwdd8hlpwL6CMkTNyf6CDBh1XAZd5pS9Ksx+M33PYRE6K8dGaX5LwxEJqiA6IeF992FDD2SYwv1jP3XoYY2d2gushrCvMYvcv8Cn1X5ffra9//wn3Dv+NfkB9f+/0Pf8//+P/wd3/r+/mv/y8fXz5/fePjmhtGqy6k+Ul9MNIR23OtUFXs9ka4MbV/LKLc9+LN2kwBidyfeepQopnyzMmCZlfMIi9oL6PQHo6yk2bVm4lR3Uo+ql6v0Xdb7WAKycXIEf6Xuk82t5ibbSewKTTcurQPAGROAbm8A5Nib8CV5ixXEjieKyTREtU6JCLgeJI5CrQQr54RkejKH7yRjfG3aBINn7BV+6z2qIvSdyx8pm/KqzzvrCgqD3ZVSAjrjwX7PPyGxx9TnaNSaYKzg6p56Picf0GKD7ybojVYeu7/FQ31+l5jKV2SI5LXYdE9SDD9ohspiGARmAJjAHvFFJhxEKxTnePd9tkPYpCRBZ5fLDaAYxA919rwKANJhx859SheHA7ay4WnYA207wkia0mznY/b1I7w5JIRKStmk8EwV9adaYxi8cjnhr+hBaEHJ4FJwnITW0cvrpt6JkibHatmBF+0gYQsiL3V/MR8szrvlYfzySsVM4z1gTHmfM7OQw0v5B7hGnvKMIZKdGXKKt7jMMUCp9cSNjdwEIsQy2kz5ZWUbX3gVPA7m1HWqwFLUXdkcgFRZkJIfavcsMgyABdl6IqZc0+gdOihgM/eT92wl/pByGbV6qlEBaC5gWE4ODC225ZxcxuiLJbaB43MgFiR3nLq6JjN2tgxhQlZWmU+X1Kd3lqqiH71SF6VQz66jdSfWh07Qi3ng2o4GgWjSP5En/FJqZ49ndDCUMVHJfUKaHHkWNfoNiDUuHlp2tTMBM070IIN9uLDm8MXFCH7dWciHar+5l0DxHhz8OZuXjrYw54rXJkXCA83t2bPk/CTO8skvgsOc/bFJLf9xiZPAMPjhU6Xlp+xVtv8P+ZwCbqvY1tdJQsAoBJuRtxZqRcfuqfLkgvX9/X9x89++Tv/2m///r/x6evbT/4X7V8++NF8+9S+7RuN5093PaWJq/6x0xoSR8G+Yl3L0puV6MwW+jY1vpUtz/VvCANXeyoMxTDxUSlK+zm07/f2MxmtHkBKhmiOnoMUocBntiY6gZhb/QOdqnAXKz0zVB3XiWNSHItNGgdfSePK9kJXNaNazd12PkTP6sVBTWJYPZXgzBx+SbgWWDttR4ERhDlSE5bcgV08Q6FiU7qCAep1SEZpxHVUTaXnT9LBVLqgs5IAOGMnbLz0TEzRJUq8w/7koFbxUj2ux1yb0nQ9XBcSIy/aRVF98+3hzcTEAh8BIJNqEYKB9Jvm6cIb+TGDAaco69H34ud7TxvLVB5GHelsm8vnTX/DtNAZszlnBjCe3hz1pdsIjlATMV4kmi0W6bY16Cd05TZtVsOYGdMP6gO6WkRFfoeSU+swgzuLyVN1iqnFaCBUe/YGbH+BH/A0i9J18eO2AF+er61LnePuaZVmuolrzdCrciIjg/Wdgxx0h24Sfd9Vj95UOdnscugsgJ0xIRLKVY++hKv0yPRnbRq5WXP7XSUBw1sc+kPjp+G0zFs9AVgpSyQCnihHpGiEbK8skr6pq3KSEkhU6KBJTDRt7k3en6yXGTCUa8H2jGq5zH3juAizs+zxxNRX8Q34+NK+Pd/h8ZWPX893vMv4Oeuznz/7o89/9n/8q++P+X//5//1/c9Q8908uvkEpli3PbwT3NKNBxYvSRF+JXwySB3d5JaSODFyAuaOjzc03F6TMDIiDGnx4kkLoF3YmmUObFpYHpxRze48ZCpx8POU2ZF9JG5qArZY12sINs3gsbl6W6P4JZR/j4kfdYW6Io1ukmZDYnPinl/okSv22HsiTDSxnHJ6k0glBA+3gbrRtVlor7rRkaHMOq0WpA7kj9NZrcYVgjwj1qDh1cssbTKBf3A6jm9wmpOIlL4pt59C+ZmLZYuYtBn2esFyPk+sRzCKl32nfXuVrVtJZ3o1CdzH707CHLQYZgOREmE0uLePGpKNYDt2bFuYiaHkJVLIqRZxb2rLME47uEyqWbCouPL4jcBP9LM2yN1MeGjgzsP8ceuP3GzCUlHMIZnGxiDK0FVub7sovcwQeGVQLGfJymfnuYOw6kecAI2j9knnMeTOGU0tsDmH27SspqFwNFU6FHx+6QL7eR1KEU8sWphc3Hw8YqX0jDYmf62j3xPSsaTgji0JgSgXYNaY7UOhDa7lODRGVAuLom6jlB+0jOhgs0QD1jOqn9ywmwOmXBOTWOUt/ZEuWyEFQWfIF/ZTbQW9Ofm2pgSAVUyIywrAt5L3med6gvURMWtoSLtM8MIqzLXL8vTWTGx5VLM5brfprkD3iDIgibnw685OWl9eAROmF2epbLcdl6rRQwSf9QRgCAMRclVROp1kS4QVorAmO4xfFrnAxc79keOjFkBJ++ljHKC18aHaoF6sSAueCLfEUlrCrZwJsE5IoZHIYR+RJBPbcEi0NB7EvJSMoYyQcPut3fUSyZ2OizbPDO0se4AHrI5sO+axzc9Jw5YjWYibas9EZo5UTqz009m3q03FK/6W6cOpgiLQ90CeotPac1p8lCjV9XhW/9af/+Kv/5t/5f23P79//vrlM99vrOLOww/fz5kPPD8422snW3EJPlnGyKHbEk7hotWhn7f7pOEy1eZcYVbUKTJNgKaEJjcflfPMhZi2wJWxtYLJDXDjcW5uwPGyXDmLsP+c5ZqQorj6bZEXVSRJieVhg2OPzkP1EX0BY8XgXnlxzOM7I+zvO/GiUuaIDQfNcAvQccSMBFw8gMyRZuXeqPXP7D1ZKxmZPaZW4ZFun8ouVufqRoiLCuiFLWSc8j9IVLQKy8vLwwKqqFhyr1J9V6xB+XrT25t5QZ/q+sTrO9WbHkVeenwPXKwH6o31VryKJRRwUY84pppVlFh6iBk+hdJVl1Jbl3fw6InDgnBEGgD3Otvbcmb/TJgAW9jsEyCRIoGV9+4CcpmZAie5PiaIRrkw4UNGhuzIupPxVJUENRfjC95pWDm5dZ37SZFV5DOsB2uju1a3z2htBEus68UGDIL1SWVjckCJXpzQnRWp6aCwZH0jbxS5KXgVvDyqox4Ye+HYCmnkUukiSJXe3nQ9ah3UbBbrARXeHnpcUunTG0VqNLhyHgookplax8XbYuRfgrJXPTxptjjkBQYu7ciqMsWxgFppa6BRevmCNCNBJU/UyRWFvsHColKAielBxf94d4/nnhtPvX/Fr3/z/Je/+fGnH/n+m7f3H/wX//Kfvvev/+5/9Pv/+D/9Vx9/6A9+FfrxRgm+TQ/nulyq+fRAP9yidvqkV9Sy0EZWxdIZyW3A0NDpUXms80j0bmqCTUEL+4/gVzl7ldslc+VPngcDhZ8CcPJFxZUN2JEe0cE+Djqa/R8yPkxYcuRwBB+A2RH+VvqYBQRs5FQIvUMy3x78JgbwCvkNxUUakmSVtXXQiFxEsOHcgvnarBrACVwGufLK2I2Xq+JeWxNa4kgj8qMSQGXtvrFXb+wTZ6wdpqmVnjrJLn2m4FCRZ+8tnqI0eU1bGBdRc3IKMbFpLz9JcNNYnPStnAERmgS4xnbDOZYT97ITehlclhhG8OtaYpY7qS87isSVKl4HsqBJi02vVAObmJdaENChm7F27LxFnLzYDBugFmjkEkp5SPFB5x3sWveiNUca1FsuFK9N+tlVEeJnbSCirzXHHw4/lcYKcbew2rp6sdlA2JCcmbIp3afTmwbEjKxhW4hJ8HsO+DzJCIVq0LaoGXRt2xo9S1byUoytpdsMZIjkrtq8imaPqZZ987qWiGIlnVQ50+0+invcCS1Y4qejrI6SfDcBJcfbyvv1B3IwG2Z45cilT0VqkKxh1+z0iRButpEIu/DtEfHmuQV2gHfJBkyqE0KQp7ccBAy4VwKcymzK5S1skQ+bky3uQ4LQq9wYORJQLH8Q3Ct1ETZbPFEadMNlna5uz81J4EK2MbeJmCIxpz471l2HgUiP4C0V41RN5sbRnOD15AQ0mKFMHjMpXeQB9VcLtAhNPlqmOKdZfxEHY28whRdl1qhzPM/uRKT8WpUBD4KfR/7ib8+mWYVM6uKdkKCQnfSCmaDXvBvGS5y8rH2PSzqQag9R2do6HRD3lxdTHhnmAsbs5IzR8Y7l8Yd/4p4BKhLXtQFxF9/4hk+/++VP/80//K2/8bMfvv7zrz/Mx2f4KcdQ8k48+/nlfn4dNt3muKfJSIh6C1Q5gbHiJPpobTk2FUzj5MrTWn2AYqUe+0p2T+jyBtCc4vBuIqNpCLmyvUf+yySZ913MOjixlO6Sk99o0xzAgCVMQxf3gM2SdgMPT+CyZXX3cPbSRCvfc5vuTGlYdYUiW15ovFDx5y2k4E7hNqkn9thLKkqSE4KSmY3knQajJF82bxOzKzhOwwy2ruCp5HTKtJzlubKzYWU9O8ls9DblglUXwEHx+g51WddVF/UGXVAVCxaucAppnIvFK5qVCMWRqFOr7aor3sAGdXHIero/ob6gJfBWsX3ZvuROi4eV8qUHQEf/6bPRc9aBYRde44qzRbKa0Vj3TYrVWDDlag6OjeJq0ChQUQVFdP4SIJRYSgWemLOYHIxsuJHokdmaMjv3cMNwFZwhEe3pK5khtKxyM3Gp7iJcQjPIkHSGvjC2wag1/QImNHDhNYP9hjNxdRZO3rkzmA1qZ6o/NvXIh7ouPq66rqvYhlRIuEqR9cnzYRcleqr0wSLum5J7z8ELvoP/6zhKAreoAHhawSilHiiG4dF1oYMGGHEUw0YCkGZdWajMIjXFiLlyHmrlkqk2QoahUAbRDSlDIWvg5js/aq7PbfOD+mzh5xb5dvHhv/Lf/Wv/3h/zif/q//xf9y8/Xf7U/BjN5SXk4QvMBjV7lKSG2eo4Mgqh4I5IdlFwuVtDlCYH3gl6OG+PNBxoPvatMSoBGilCclKMCXZWbC8g5ggmIl0l7QZX4B3wNoqLVAHg5itlK6ArdXv+lzvHExWZKzgKle+xVGPWDs4ZTLFmUOOcOYtSn3MPnNXVccbFWTnRFtmG10T2EtOmSpAvp5KO9lznpDtgWPjwMZKCGCnggrGL3EU6s8qIOWGWeaxHaCzgVJ0FbahjI6kL2u7eWKocyQrWNFAgLIejcsfTKCaqkfuhN3B0NbnO/E6gcy8Dp9w0UaQjaB5oaBHly9VI4uCW3uLay9hclaRWkJKwmrS85QQobsqvx1Or7UlBQtmo1NzrnV5M9OVg8R7xKY4DUETml/MiSqn1kkU8kEvvoEbn6UW2s+7d8ckjX+Q2YHN8kynywzSkaUmZPFG0Le+1N3VmJk/ARG13YvqQZYhoYIveDI4owChNpp3c7rl7Oive9u09mLPeFdneNtODSJEDUUPJVZ6ae9CZ2hdlf0/GNVSmzx5DbiNJnPaxCcVDvjqQmZYWPMBK/IkRN8Euc85Iqha+ZVGktQBJulor6t+oURIluJRsmoBsFAHY1gP70149tBDVXXBLIDBYEYKG9tQ5hHJmSLRiT9EoBBdCfTM9hhsRH20PwC2y4jFABB6DubG5WtwiL4cbMht+UxmT2BNS/0AEIFHHI5/xBTEkFRwd87bRaQ5SxB1uc3dFIIkYHjPoe+bo6199d6lkcu1Jwv5runxAhSX9sf/X36xRJxuYxhq9IvbZqYVYRGP/KVhl6qSD123lR1LbkzPDvGlYOpL/v0Q7ph3KicQdoRFUDtxTLL2HxMAwoSj37TCq4awoKU4oFS5IrKmZuoUqvtXVv/UPrj/6+z//6C/9a/vLfX/czaeH8z5z4/0n3V9iL3tiJNSV9EpTW/CLCXBABMsJaR/AGMvqjqojmFNQpoAmhgJt5U1lQJTjZJ++2VG5N4lX0LRnjaJpLheE3TGeh8Xdmm+79dxtkMDytdOqT97EWkMkMhE7xKCLt7azQdZvCxtageFlb6u+zSnh6V2Mie/M24vjBAqNZbBC60hb4xpUMiw3otwSTDE1uxwKHAWheZFxw5zc0UqfHEF5AgHjqdrHzdaoYGB6yGS/ipeH04V6VEksulAPPt5cj0a16KJwQcWLrIsiOna/3WYHdLkQ2WSuzOwxXdBDVxU/URoKJFlmTS4q1QnhWurDqJSfByohXjGJwMDxteR64rd+TrM1hMawk1KUFVbMn2JSyibsyehBigk/iH6privrGN6AJm7UrkZhEjnpXPPhyZKAe5FtvY3jcJMA3zTJizG/lTIhKybirEdv3J0sBkEijUvZT4lV27igqLGd7AkfLAiZTBbqKdBqES3SqKIu4Yz/CzLDh1TUJ9Z3n6666lFXaDBxgS+coqc5cVWxB+k1ozsIIlyEcpzTac9ZhO72DDtt68ZyYHKrK+rWjpPMKawwRK7JA1PkO0GnJTTLSiKUjfHH+G5M4+n77v76lb/59f2rX//009f3zz/dX35Tv/nVL3/Ff/7n/8s/+Af/27/l3/Xz+aH5vlSCSvY1VeTtGtQwiX8JgCYoVm3Z5FwncwKbZnKozIRDw9mbTLEbsDBwG3vBG0y2fso2wTu3HFD0qpGzO/wupSa5wu5U1GFKCnv5Ie1EIpwR4FHJYfZqSmlWGrbK+DiON+yoQNdCWIt/Y6iZ1VImqJMYUEmPUHqyo/rdyDAv6MQtG8mA2TioRT6PCwynTWc60dLbNgYcrkw/0ivFthhUPTg8D7t1ZErrKG5ElxkkY7Ki0ng3CyTTYc9KmSfsWq9DeQsIvrQnoSSy+GsBIW6aFgCVjJXt5xbOOZsRvVTqFDhmsYyyyR+JgnMJgKiP+gQlbo2xRMU2mXQ82Y6wZ5K+og0WIk6mdjB8ektjJHQrTy3G1wVHomzzwTC/MRmRggTdLIRtHu9c0VB9WJ6JANmBNoM8LNeRm9jBAkA0Y2Y/1O5ExKRTxkDMvRR4dE0arw+6l+hkQiw8az0VnK7P4+Kd/7rhGBzYE+1TZmhnxeRnQsY6YsrgmrPnsnk30HCzB91u4GNwpBvN0Q3MsLNW8/i0TWrbNmO4BpMjQd4mlN4BqwsOUeQss6jiZsBKU7xD8kxUquhgYHAARwTyJIWIFi6GcciXS88+sBKcmisJYWNKBF1a/+z2jZBZsNx7vCzulKxUIj3ka1tEfDs31eTm8TsZG5bFqNEwGWR9eo45K+0QdPkDM9sxLjAEcFOnPfFW5kgBY6nZ5OGoA2afTEA/yae37KUkuAfEkqu5hZNOMRCmQflGMidW0MU15qKR+HwvRrx3IALouzcNieRLVsakL2/39epZh2t/R57lAeoXoFO+Bs1hb5D/a29gWbt8gYUCuf/RAGOYDnXro2s6wHayNECwsvckFFHIko9iJKD7PZ4agQVL4iV+h1/8tcef/Vu/P7+43z9/mZ/4/lkf3Z5Ro3s+vvTH17ubvmcakem3TfTWDeKE00PBVxkQSjxhLlnCl4+7k2B0CRG5zUmCo2M2hAC7e7o7sNBqL2nbO7Tlm/BjXtIqTCBDeE3pMBJByJwWHQETUVXaIFhnP+7CyEwSLdtWK0cxzgS8pb6MNCZwJ4/pbIHtNptJDk6HqzNTZe2H7jlXIU8PAZyNEaUEaXS2poG1NLkZR+bCBAEuEl+y+qbduJhU45kfFORqwRaA57IiruJ1iQ/qgccbHm/WpbquYqG01ny66UQ5Ded2YHbCnjYn3F21Xeqhqahkig/hk+st9A8W6knGr7boyE0MrBZm315Ksq29JoM+QXSwycjglgA3ktC1TTywEtXZ/gGcNm0OrgXD7KZNxMYYfP0RS0rXA6ZyOJ3MgJUpUHhEvyh7A5oqwi9n90eZAbvShqgKvJ04kRzu4HTUabYuiQOac0tD9jqgQs6Ghcx9CdhzsefQuxzHxvYQu1TLRCZfoKsuXiSn6MeF642P0lvxIdbFEi65NFW+6qxTW0Uoih9IUlUwTrHsQqBgbQ4MoCGk0aqU9/IogBiKVYQqj26mF46cglBe7/pqGeDNA4MmOMEe7Kl/ctkvHOgIOlNFtr588Q8/vP/L37z/+qevv/r82Z8fv/rVb97ffvl3/zd/7e/9R3/G3+3uD+ENfHxcc3EoXA9S1o563msHgLWReQpkU7rIyTR5IuaZFfAFLV2sYJnmcQ+IMz9+HGh8kSQCB+GJWROrzGFAarotuM8JUmu0Wa/bmHEcnaSOXAGp5tzsA5HRvVVWMBVj0f2NWjSQ42WrdRQKqXwFUK94rlSFPgA29sY/KFYS7lP7p1nf0l1wGuZTp+TfMrszSE8KHCMmfJFmTi0sM89DIG/94vUn+mjmIzwOErAXK0GhsaOIiLU0Q67QzLlcQYOTkTqBIphin5En7RkyaK9ACMzLzFF6Xv9oxmu1Wxw95BZ4eyYR+5rDjSRNRUDgE+wWx2YWDTaCPPUKwmzkgruyQLe5XjTLKck5THm1tfqkuQFKr+eeSwf7DXGkhR5sqx29x4qKld0sZlreFv5W1I7a93CavUVFCaA2WoVkZIL8Nv8p//o42NPsA+OYsg8Ss10AwZAgPR7cnpXaTWiE4dz2zNhtg9fhOVbi5FdbMYk2Xc3wAVECb6Dte9R275RkPZ9ocFy77AibTU5GPs+6RBYjUGR/pyHenjzTNreYrZNQSigOhSwxZlvrrLsI2L0qEWFnIeSn7vlIt48pP2n+NaiI/u09T0OVZ4urkQ2e6ifqoanwNDE6xFKXeUY9g+X1ZjoBix34p3LGn87uykGSpveAuD7gJQYe1UvauVqcdPlxcju160m3yM2q0+fnfks6bRa7dmGbXEk0AoIIPnM8F9EnJxV8J7PA2x8md8POgGeiOIis0JXgVhNmY3XkA863giQgbSaT5NjdMF5SGVxrIn3KcsmJYdp3yHzZ5dn2fBvmi6R8i8XnePg3jyLQyqG1uNeBUyxFvbqZJ/mB2ssiwaUeQx6XEL7RwGVWYJZrBFySS2+/jz/7J7/3O3/y3cfHD/ezv37M8x4M1eznzJe5P9++OXn0twe1zswgRVGj9KRoDlZUDbpnwj1R5swsYgFTBPc2Vc7wQdyPTkS5i9Dc8j2DK9oIOXRLeHwl13VfCCK+SdQmtwOALcs3IqjKYMvKHsrdmMk/4e4cJjDWVOKaTQY6MhS4p+Rp5y7wwl9bqpiz0RZAPMKLfJzmAJyMwhUd0i0C0rE7eUkMEBWmLrF0QQ18ciMiTthF7lFveykkhy8nkTIFLAPzXkGxMLgP2+FoBF6XNKgi63pjvaHecPE6wzvGF4bTKCZuEvATnK2xoyPxppZCtIW6pMA7O+kbFFVUgReui7x02MPd39vbDsSt+7kPkgycL6/oRTrhmBkcF1qEB/oBUn9t29UFpdeUwnLAntBUG3CK7QTroSqo0HcOzGZaUzi2RxTomTmHAKzNUkU9lFvo8Fsos21pTOvSNruhX0IdEFS9KNUmgN5Fywm8vqxm4IwXBJWfLx7xOsaseYEChFxVj2JiQC9eRVRiXgu6yEu6Hut7EUBejwt0ALwqlqmM/NJclwBRkyG/qGITrb32aXKNMGNnXKIn0EkmM+0MVlHDYWYo5DzM+i9XzDneUu+IQrfa5IAwZ7EBuqflvmZqXfsfc3/F8/P96x8///DjT7/+oZ5f3/7lr3/90+Mv/vX/4K//9f/FH88vep4Y4e0SrytUVVU+Eg6teBwXCULEJsG2FvoCQNYAXOFE6joedG3zxBNzl62MxGTnXplFapwEHq1W1OD6WbmXbyGT7rD/Nc31wLN+0S3O8raDE8xkgQRxczUQBZA9nRY7FHSusVNAMoa5zclzAsc2vCicNcnEdy0Qi5cH1ltRZbKHDTj0W/CYhdiR3bDz/ZyDbUuOVA6JXsxoinzjDJEza/XdrPT8R8646tsAI4v0chOQTZdBZdaTzstA01Hf5K7YJ5oaGFyFideRM6vIXnnCltR5iPn0YYDBOA5woj0CDLrHr65rOWAh0ddppq2d0ruSmwPTSl7TaQyBQEJJ0ciwqySk89SFThMjjhJEHjfcaRu99fQpGcok2j0n/R4EMQziDIKKJzO/m6feiUjpEDi5jG2wAoJHBdQ+sHdEFEYaVWHz7OUd7+xFQbaTqq2xencSe50ude5dWsAz9BZgP83OpBwn39W7Knr2mlxUKBsoF0yeIjHsMptEktyGQ1RMfk4BJeOuVCqKyTfY4WKsiwLCEasQm/+T2TZWYnV4mvSsc8BrKORq1bc2dAr1/MCh6NnIWh+HqFeD4FWgW5syuSfmLtMohU6dsIBounfO5EfEW5uwQAOLJ8MGUAJqfIdxy5SFtHaJZMtlu7jzCwOI9sKEsnQ9/qZGVhxMzpgOml1HgRaM0tshHE4q/wUnaDVvmIBd3+L9Dt5C2BFXbdsLxvGcH3t49pw02HMuXMswYVBMtYluogYMPba3EY9QJQwjRmFEsZhAPs86v2Dk/N6eIS1xtMNeBGXPWQSzQQqyILSv4mUhHdBxMiUszZtFt2SAUBjHmByM38WMfcFGdNRR0B1lkWqzkAtlTReJNzbrFx9/9A9/6/u/p4/n1/srv355fv7y9X5O+aG+Pr789Pz66OdgsA83qxomcGEVB4laKBoYYi4+2lNprQwXyFgtWi7VeAdg5yyeoTNTB7vyJbGfjk4cMyNp0EXO8KKnhcseZ7baqwfV3hAoIhOIen2imSqna1MpTthwZycwW4wAorFPzmw2C7h5aSbcnkIOWXEVi8LGDvgA84AmXjTt9IZtejUZ3gsMWhO1jskddcWmNXvf5Za8V8ibcANic5UBrqlKNR0q1VzBqQfNpGWkdLRBX0HdABYkVlOWhhdZvt6kS4HqZ+PFNsUUIHzfXme9d0Vj/4GAoUKPEw4a6fridjCEepBNt563h1OAC7019opiaUIdW65yWMVasjz7idDLT+XWUgbBybgXGj7ML2TfdF1MZBPgbqg8FguDnbcZ4j/GwIu84CceFz4CZL3I215UOvNkbFBomr2kKy6poCuOBrI3DG2wE9lzXDVVeW6zUwhCYAIsVpOeTjrDpGfHlMt2hkAFKsOm6OQAWSeYSYruJ+oqljNoU77IYDGXMLgIiKoas4uJmPTHbQml2BZxIv+YcXb7C6lOGt6gRFd+a4JnjL2cDcJ3BzGeRKNENxxNAq4AN/u6EikEIoMrS+xM5H2+0nwTSJqbqhrOrYS+o0WSZ1zFd3s+P++BoHqA+K3vP/TT/QP+QP/gP/mz/vB/+//4Z3r//rv7O4xvdMM18iU+P8zCS2WCSCsS27/esEVPIwbwCkEDtmthxlwJobJ3xAyOvqyTBMPkHoGwoPas0vTEmMAzKIXpS/rbDg5YOoQbAwQw95xokr57YUSLnb/hI0da6axPQ1X8ZkzMOkxT7WTu7QWYQztG+U3XIky7WZgkrkxIxK2wpaDllRssBV8KhWU+zQEq0E3uwG8RnmlQCvQQdWDl4HY62P/s1kpRm8JwN0ESjEjbmBmRo+IMOVyNSDyZDer2FOo8YVSch4GlJmbR7OmkBEeZHBPLILR90IkC7r10NiM2QT1SKNgXyE0nbfmcV2kfwPN7NVgnuGcv1oGQ2XrJljMlpcPRIYs7p2c+IRRslMdgxznHb/LVnPHp3hCqbFDK09nfK+o2lhh2wACnciROUWtfL4i9xztQunPjgXwZ+MPUJZZe2zGs+xEMSLBqu4W9ztGeNx6bpE3MRKJEcOZ2q/rusWPx3dUOVkTamy1NI4Gz4Y2aS8Now6O2806O0MwEV64iZ46Cnsi0FDRaUTEHqCaYIT2r4z61HRL0AY2ieThpXKnb6MBXZhROK0C4gTKjMOCQVWFX4g2F/E0TLrvX/bW4+LGAORoCOWTtYUzTfyRXAUE9s8MqWjTwynKOdTOHa5htmrOcE7Ovsk1nG1Yy0zj3mgYzX9oeMBPfUl8DdPH0iTzc3DKtOVLDKyQkO20nNJMxyTh3/jF68tXCp/BzQgGRaPD9N0nCUdAEnpgErnIYTWAKGtFTZtQWcCUOOFaOxNss2BvnVg7/bTmDA5jaSRlKQxcUM1RMHB6LbCBCmeOwMlnjzjrJ+bJkSF5s7KWqnCtJcNlVjMlf2caPLq4piiGmCGIkNi1foocsXNn/PQ/ppnD1J1b/3t/5+Z/849+Z3/76w+fPmje8P/tuyrI/vtw/3s/7K3xD8Nzuu2eknpmJfd4Mn8nZUjYYO1mF1EvGBiferSmkkgpfY6y/1JagzKJDsRvAfU8/g8mvvXND7PIg786w4wkEsHXWloEbsxbQhfDJJ0x3xSoxeX7qDXj3yyq8Gm68WF2u3jBYZ4ZDznb3lOzmbLA2V3VoDOaKmVE7YsMrd4VySabf1+zh6pzGjvdP7BkxOctbW0Wkkb3SJ6ssljCez7qcU+ECId+NSMBQ1k0z0btep05Z5UvFh/RdXW/k5W4JM27oCoWbkoEnuKVW/wfYw44RZZ6pjyOo+FaURpyjblzUG5HYKPHyOu+QIjiPLFQcou9gQnD5yLzFFzC5eYRY8PBbR+5KSbh9KnfUDQASa5yKu9SuPG8QsR0MuvS49AxQdKqh4h3cprFy3MGOqUNBnS9ZqOuCoBLcRLEGz7Z15/dOvl0iDQiwqrwGuKkSRjO3gOHlDPCUNZ6Uhzne091hs1EITOxtCzAO2qgLgBvXG3HxAlhYFakX67a7KWoy8eA2kVHcEtUmyteUOZocrMXpsbtS2JYdna+jZeW949nXJKZKVjtOpsNU3KzwmXoBZqZFrG9HPiDcIO2Oc+JlVJtvchCLcoYiDzzDnntZo+vDwjt//A36u189fD3mZ7j85fNf/N4v6u//r//6/AX/xX/5g98f1zUj87qRajY03Z0Y6mPCCg3DmdKKmiN2Pcc6Ku8BfdKCtvrPGJEUaixqg8f2vkptv/CXXlz9mRulE6+yczByrKbU7pU+ehkfVvrDwK07/sQQ3b2V51EOBIKlx0UO5lR5qHAPw3AFpMEUH45nGwLaqqRMhp7KKKstQYKoM7Z01Ks4SGvz2n04t/wcU+pB0EByY46TY1oJYOO2INQcBC4HhRcpSzURWAnM4LP0ncoROQNoTCJMVqph09cSrQR8LT45K9kiudcyaS2dsDryxt7A3Dy9zrrVgqKLVea17ROInQXbt2bzJ9b+TE0V5ozCOrh6ED+TnoQuZvu+4M+DwmZhESkjNx9VRMcJdaCb7ZSy/wgbZTZD0NpnioCFGWtRTBwVRjrFREzsr9eQiZekpJU3AHRtSzbhmcWE6+UZk/Qo340vtsunEeXymyJI33kek2mNQA/G6q6b19xpkxD6Jh57AL3PLA1MA1CtLIoQUAiBOruHeBD0ASYjYGd6fJsf5BNqqJ1ZluohWwEk7xvTuKfcaHvQA3iuOK3oYnMmw1T2kwdK2m0ZeC+zAVdU41Ws58o6QOT2QgRcBu0aFANuj/JHK1Vn1pN6W6uAFpra9D9WoS5UomSGFWqHohyNsSIIDxQ1yNWVe9hzz0yb045AikiMa3IpGI/ZOBo3ns07Jm94ZMHFRFdSr/HD22ZB4RGdcnF74dXA4KST4iwUnKs8A4yWRjI3x2cMV5SMGLenPXCfiSE0OEAHG6WXXXY0xSEBj4dhqMxlihIjpm8TtVILeH+qUVQRpAuspKgaRSSELW1/tiKPMhIMubSbOFjJCUl4HQPM2NA8q3OY5hBcp28MVF5v4bjcxPGmF1EugyhhaFx8inx8fcz16f7ZF/3Gf/b1T//nv/v21/jlpx+H1z3++mG9P9Q/+/xZP/10P79cX3/8wE3MBVS3EOmSC+PakcjJS59dD1AifBPUOrxj6+HwPsxHHXpMqMqw9rhlzLnnHrx/wLd8q5tjPmgiggqlNkj6FEFlaNcKMZdeejWKUbrHZ5ZSPMijMhf2mDqHjP3fqL0qbJDa23PlvIlqHTjZyblviWQ+K8NBnUQ/MuoKeA0mvLzbdUYDqyjO3HuBBE/LboBmSBWHV/hAKmIwr3LMxRUB5GTe2Zg8br6NJqwCUbttSKNwxbiiZBaIqHnD4xMFjoQR56Y52OOuMYx8YewehC+77bYNdpjmlPKGzSZsyawx77VXlOqyrkSGkuCginC1qjoy08j4SaqwbXKQI1MZFB2zasiCfB2v7d8QWLy0spzB4b11MT/EkGfuTKIYgWjwad2yNcNk0RoYNMu60l/TcQNQA+GqArwjFzKzBU88XG8adMnVpmfuCZ786cYn1HUR19HMTTgLALpAXVGcdMqF1F5LbEhVcLKJsunDIxEmIRZ9juAZ1gicESqBM8REyV6B95ReuGdZ2ZRt2UKKA5xujho3YFfz8sosdtlCQm2+JaZ4N6atHAkJe4xwckorPvFq+rHoCLE9TVZNTqlasrKclZ5ZPY5lquRRJy2GtBM9b3tadz8wejbn6bkxgx/7+f7PHr/6+vEXHz9++Qr99LPPX37E3/7xr/7vf/bdP/ze+qpH4+1JovSpQH26V9H/SAxMQ6ZSeijAmAGCd34pLkxN8yg9DdyL8jrUXPVo8apxQGObRF1UcuU3yB+Kbncr02DQJFieNUdxgXKCtT8eGOYR7qIUdJHrO07oQ9hLTK+Mo2CiymzGpk+rNsMrelAF033FZqBQJGq1RtHY4gq1sVX/ctb55ECsiJvwHjp3UYKFUk7FVRAakyYw/zVMQoQA3qqQ3MMtlzUu7bULOpjwMORu/hnLNxRRl/fQbJDTI6dt1bDhDIlUccLRxS13zAnoRS93vsByeMzoIRJOtFdM1aQ4kyk15d1Y0lh1vsgdwojNVb2mtAqUhKQ/b/mxDDiTk006MYu5cpUahJHiyYPya47bUkUbVBcZhVCLOefxRq3EOy0u3BFUm0Awt/gMt2PNt0PqGmOIwd0xbxzu0mcaJyLQDy+2jY8nPaqStnt0j+l1tqgNG+iBE1TVPbcDk2+zndvFTs6D7ztKmznHl05llDs+EmBrzDtbdPUKQ/j2hsNGdRpqb3K7N3py8U+8sDMzPffT93T77rgfG4PxTHsa08MezQQidxtmjs++8TJ7z2zQ20KUlI02+HLPaMHyIORGUh3SBQGMoZDreqHQMqJpU8bas0iNxMk5L8XlEv0lxn5Fq5LwuKTFmz3udOg9CNR/RY/guZvTMZ5v7Z3DEI56P/qNw6osbQ62MUMbFQO4HYbIL6XOMoAB3pmcHCSX4HSk4MuwdOBEv7q2dOApPHbKDWRMcdz4xltSQXMijYhIJjUzVnfgrMgIqwQcStu7SYZrot9GC1AcM4ngJMAGw+/UNrV7F4ZaO1SgRY5XpU4gsu5NenuNXFth/avRprh/Td4iK26RZfiWT9ttcnLTQxlpyEnAyIAq2ajx8xqxMPP4Gf/av/WHv/s3Pv36V7966+9Mff3yfH75GKjf7+dPX++vz4+fnrf9nB7fUfZqvy9pLYnDVTOHydAZVM/FiIXGPGemi3RSsUiCl2gOwwqIToy8PfeM++7uQSzYLvmq3CwBFWOahhiRJIoZHrbDEVeaz+2tNo5nFo4lPe3J4HUOJ+OZYirYKFEBzSAps9jtujby6dGtpGUAIGWUnVGscdGtYjcRU4kQMip0KoCJEPEFjwFG55wOTrBTW2BQ6WNmJbm5RVaA+KI68vWiroc5STtzDfdwCSYZuMckyZqrrusCjZmbfc90dz/7zoEuoiDcDE+dKMY4RY9gIinUDHMDTYCLTSflpVhCVa4q6XEVpaxlZzSVUDQ9pQUV84C9+6u4l4FM9HRVsXRutODbly5NTThxUIOKEp/YVCY7gPqaG9dXxqPxmKjtiyV4LsKswalSI/30C0IMjXp1Rc6l61H1GF3eHMJVsxbahNqoCkh5KG1hbZKYTJLLQrmCqWRFmY072p96nQ8MNZLU/aAIidTA5YkSwX3zbhgccQadSe6pv0bChWYbglQPzBt07aXJpC+t/TqQcIXjq4oBwhjjTtJZB44K+cIFDWnz3vOIF4DxjSVB0wNwbyEylB9ChAkqX2WJLprQZZPsQQKbeOQMJjfKDvf0oLsx9y1O2/jg537+9MPH1y/3l6/3588f71/8+Yevf/JXf/fv/Pt/7L/Gj0bNb/PxhrfP81b6+B60HiJGAiv6vBN6Ghr+JOmYwCTN4nj2jI2LwiJWM8MkGQZEP7xx5toA1o4eFRJYsG1dVhg47rnNdRe2Y7f3nqepS8MfBuU++KkUv2M49yMEytWLCViUD6XIjiKXirA0ea+Nc3/ZScxwdPIwfRMzcX6sRGZR/sV6YQatPpItrLTJ5w8SiwAnrVL5TissXCgt5IB2JSnzypgjbY6mIRY6BO/DJvtYwZHcYz6DLXlWvYYkoKwsuISS/VI/+ShvIjY48HAyDpaJQDSuq7HIfzkqUR5vT5gRI8j+pFaWlOO2bGIyQvYbRq+99oXzAPIjbuwb8+pO1gHbObLixp2VfO9dl4e3xRM4HXcFNwcn0tLtBpLJngIlPLphqMJi5dUoaLQXenJsXEqtn1CnPJ1199mTETpwYwdeiRx0JlnPM/ZsjDvOkXiaZ9ipJE2CnrnbY0/gec9MGx7g7gKBVryaC1+DmwPiM56XgeeY/mfFTxNib8/xlSV5ufwGYHezh9PuwT34GN1gD3r4tNts+LbvxsB3+9kzM8/BPZPHe08P3AYnISbesX4Dz2RsUqK8t04SI+4KJr/dZiTS+37lU8yEFR0aOJlaq9sygCHcFTVD37NA0Slz48LJXORh3ZO2hpGGjfFsPm/dxo1xowdNP4feHm/2ftY2NaItQkW9os4yEDqXJkl0XmgcqFyHW06HtP8mtaLrbX7PPRL9Hr1zVuyeeHBomq+sD6y0HESGqu/v3xr5TtwSiSNJzIJ18sHyW2kSLWNm2vfyrFmP8S5vLQkkpoOLeG4VpAksjNmCKMxSXoy3l0gZmZMDPDzYcgtcdWiUgzpaiP02k6R3ug2cqyaQOEAfhUEO/1UvgAA6HEkIBY8lkK56k+XHxx/9ve//5B/9/MdPv3q+34+b9dXvP3g+OD1ffno+v87n3zw/fug5EG8W8D1cuxzzX1pe8UpS5cbtcTrAaU2z290p1w72H3ls8XEhXeOiB+mlUqnd6OciQjNQ9ygWlhOysfaB2AkRnVkVwiZgBm5wjWA7CiWCUtgcARw0khPDfdEJ77/p0eTmCbLmAU86VEdNmoF1OKF/NoyW7XUVBhGnw3DxRH6kA45ffOxVy2FhtYD3HhLDYKie2dSbpa63RMEYFkh1ZtVT5mk2h4Ca1BQr+OoFs1EjWRdVrIugxaTt8L7746PdRG/cR0bOunCYJsM7vDuTHcY9nUBDIbi6qAXvnAQQy5ibAAp4gJoJxBPQjEkJRi883IlxogQNy5C1h6P3rCT2bjehQQ09awTeumMM4KLJiWlYjoeFKrMrfYot9mmTAc71hoLMWjieiwukscvCvCaFVYMe3bhs37xC/Y0K62KO+ALPKyqRJm1N3aZn5yQ5XMWsoa19M3JawH4GqQcJqU+WsEByJmkBRkdq49eMXeVba0vuq0SZkYj4EhNoKuM5RE8aq5pSfIqbZBeZNcTZnKy0HyyDC8U6xwtjUMxf4QLKXT1gMzMmBWGtk5ERyLX4wZCtzHXCZDid0xdAl1mEHrvtSCJho6JYGchxGT12a4b3MzGG7Vs//tQ//eb55TfP95/eP356znu9z+c/+nf05//xX+Xv4PH5+vm89RvNW7gu6ZUikiQ2gsnDJs0cWNAygzSIXljJTpRlQMndw1wX+yLgcC/w5/inXmfdYqjcBj3i1UMArfl7+Jdk00BwucYktuxUrd6RAYDX1ZdcXjKxxl6xBVKH7g1hxNUBIBWJc4+5D1TIrWixvsSEUy0vZKIXXOwJVBep1usKnlWL42hVkS5rhbiHgQ+UQ3zTre8F3kw0DdmzWhtuykgvTgB2JChJn48rwTn4UqrwRJOnGlrBu+EA6VvO42gBdsvRKJywVc16fTs94NGsRPidynmm1gi7Lp9AmIhGZcdLYpu1FfN5soP9Cl3i6ZHz3ewK4OW1rME61+RitHkOkZfCTlWwJXwRcyXWOpf2Ak0Goi3Ih6d3IDU3zzB4bqDw3FiRaR7CZFeu7/TBkzPXPQmqSqBjjicPX0WnU7t0c6y7Z7oT/zfDGfbMGPcEJcF43J7ntgFuTKcdOIhq1lg813lpChPD449KdVSacizyLy1Vpq/EB0LndB0AqSSNXGteRsBbELeeXsPH9O6nmUOqeWOcfGOMGynMIOKEp3CTfoMDHN1eiL5UsOPpY7xLQeHu2zZxRweISa6WZ5EdewZJJgnSDxtPspt9152ZxLZv99NjPO09QGYIPKfbc/fcncYBM7gH9+Q3pBELZzuLN0z6EueKxxKZeQKwASt8CHxja1vCGwG0Jxm1Y7CJyXTz3XtBS5OzadU+CxWF5PjjhF7ukWFz4N4SCWeXiea6ktJIgpsP6sXg4e5BR2i5peHwsABkLfWXCjNwg9f6ji1tvGcXMsEqQubZz+GXLyDfLR3xnp77XsBj1eI3ZH2BssMYwblEvyEMhY15TNUjEu1yojYrXpwkWxegNn1ljPml7z++e153/eH82b/7p9//Eb/86ldvnHv4/qvn/f6ODz8/z/PrfP3N8/2r+5lFnbioGRcc7DpoNABxGsmasWRkelfKa3Qb5rA7ZUirfAlXEBu+JhZqXT1j9Aw4d81tT08nATTuHbG0rNhFMqNWU9avNyzDJHist8BhJg/cm1ci14HVBslhYoCnSYINOZrRpNQDXYyEchFB0J4CiMCRObWDV0WwA4IZPhu5Pm15csx5aUuoVjCaQ5fjBfG3gR8r+jxq9tZebYuJEEjGLO4XL8vGXAnGhSRTgeA1BiCV8FYqX0mJE4azg91uF9CeGzlo1imbijJSBYn2DE1kPBuTZjvb7GvlByaMUmUEWkziSHJrIiAZmmWkAUyhKudCYhbTb28EH7TBhLlBOKO6RFGjSEwlMUqTcIWgmETO3UdNjIsrErRgzD1bJOSz1WPqk/mYVMAiF7LojQgJt5ZHbQbUQZEUv3vU2/fCRYgzmLvtKK8zIBzY64ZWSImWBnQp/tj0GXX2P4QLSyHa44IyVTd624RX7stOGgYiI90RTzBaXRcCXLNoTAE0lWL/SjVtaghV0RyppNA+wxgaw7xinXpTr7iUpDHDQNEF1xUsth0lSUbYvOoNIk7AvetUs5qkK1BocHddSFKXLvgqP2jyinpXASRh+kaGXbFt34VpD7tx34QvDObDP/3Uv/np46cv8+Wn9x9/vD9/fPny/NWf/7t/5c//wz/++gd/8dPT19ffcpW/e0IPPFiV+ccQatAgO1wWU+e91DqgZ3OqiLQHWIgtpe1kJwy5GlV6RK13LD0y93QyjjF/YaLIaHFk+6vajuYJWH8cczVw4Qn6XPvRpBla8S4dtJ1HO+9FdvNjU2nsrE4YOb+CUtE8sCSMuvOu57zOwMhK08JjW0stc0rI14vl5O8e1H1B5mQakMOhAx6YBnTYbyJHabDVMCkAX6nnQZG9ZAcqh2K+Acx1iXKNgQbI4jqnRJ9c9miRch6/tJYxCDJATs32YIyufQBbfE1O2xAyimhuUi1kLqIuoZh+mmCkJmDQi9DmOtWCdjRquhEKHVkCK5+fDZ87DKBSgThoUzx0R1KCMhJblZsVjDNyn09gHOuV2ZTQiFUk6NrFlZAp+cQ9wZcngyk4HlnDZp902gEZu0aKPp6abxdzNwgUKom5E7Qp3LZJs5d7G5gu0po+zY/hztQsU5g2imxrbW5MJ4ZRJaS8oogNj1SrVVrT3ZDRJm6usGFq416MZeRz3zNRIq7wBJA2G8apj8PwgdAdN0/02XHm2M9hzfKs+/sE3hqezikud+/clLhrvUsEOct3DI0O/OXY3RhnmXsg+LZjeJ44HUYE73S3EjCE0sM+4xxSLHmwemLlnQ1LzWFjR8tY6Z2zN7camKS+XhWtY46NiTK5nMiCIeV2aQWMTsft5AUatSEqRIGj0IC0lfkGADCr3Fu3s8wYU9ZKG6FdDqtdxYvFpBYPxRAs5ujlYixebEIbT7Ptf2J7x0KB04HON4yBZ5QjK6TgsBn2gmvoHgzFHqCAToF8zg4gPy2VWz5PRpR3eobgGIx27sRu6Vti12ZvD1FLjnIDexf1RRzG5/xboZFtSIjZEIC+86fffPqLP/nHv/j53/r044+/+vTxva7H1y/vX758+CmD95ePj8/9+afuDzwe1QkWHWKSIGAMrzxGwr0bVEvB2GfE6nhG5Lv62eotmmIjo8YKaot7GkVb7vHVmsLM3XCHvpR036uhM+wqpR8Foy1L2xTFZPzg69VaAEMhX1DJzsL6LvbSWihl0QCn90vYwrUhQEXONRt0NvSMTAeZhqnpgZCUYVLNkKvJr0oZOcqZt2+RgctH04EcvJdowQ4/DGMh8CXn87eQkNAMClnIlT6rZdvMyU3AzWcZYLNZiSS/4FLrxqLH5WvzL6IaJmI3nMwvX/2QD3CZ5T6tvTkXd4vsPZ3v5Y46KwexOT2X4Eu+y62ZodgNcEzVpH/nsKrHj2Q4RdBZmPF6D/fq0rGqeca8OIOZzb4Fick1MX+pAsUgGscw1awCdhfBW1j77fG4Ln48Rs9IdWwmMsQoRm3GncDCmV1n16V6+O3T9aicqmilT2XD07pv9B2Ty/0Y3FOj8ZTmbgqOdjAoeU7+owfh6zjDzObGzriUI2YU17iK0zcMoVougkZX34iBQXMV6Wk+Hr6L12R1Gbhw3TO+U7u5Abp5FW94xwzPCmEAJ1k4Cdh7sdNkg1cUD7ycaJ/FK1IVjYfJAkldML4fklUZUwBDdbX7GqW02Gm2lnmvqnF7rxEcAbvxQjCZX27oPoc5kXrPMxx/GfBn+vTdz3/4O//RX/np66//u//8h5/99DtV/Hj7NT5+rr4mpUNY4YoAZdsSYn21Em5YKM7Mq2gRera6z3dXA0EBHCkKvTXUxk3vZ3WgnrjaNxZDLvDO7nbK1W4A40pmlg1slIYPRJQHUZkSzRhLM6ZjSbu0r4ZSnqQbIBRbcmavA+Bkclek0Tk7cm83zaM3sZA9b3ldUQutw95re/uCGRY90HCqlgIyQIVi8c3FDs/FGIJ/FjABDW9IRwqi/P0hT7aKrxMivH8+sE8ilmgTuuGVTCKnSOWu2HJ1huWdq8tl6PmqeDjrMhtIjj0/P2wcYRAG/Q2hiySdr84RivQgs4tF9GJ9YI+VVLA1bs4kFAIIUm7oFG41i7gFFw2SsRxo2plNGzi4pEPwLdeisAWr2tY+dCwkLpxze2lyYprcJzrAOlYj+74ao6knupaPKHNssmU6Zu0T7DuSJnO6WPcu39zvCGAMgGfSh9zwHtPYKm0k7ggFI4qPYDuU2BgVZqhyil4yr6mI8fIbK4lQEJg9Zc8cEk3PAlxpcBzJGLkC4FQLG3e1COwA5GhDCIXwnsPhJAEjOgP2SBxbU0OLK2EgVPkAnTMcMQXtqWfgaUustYAviG3fSnnI8TMTGWfQZNEfR2kQvLVHqvFNXyxx465skIU22P6426SsQS+rjiiJTfA+8r/KldRwAgW5POYyVvPy2M/UPl4YbqHYxkObxx8LCwhS7REzrzuRKooIf4VCSMz+tuRZGouTGqMOloTAn2mUw6cAK8MxbIiarf1mA3JyLCCKMs4QiQBgVP2aOz8jCt3V83gmTsrkFdCbzSkn6MJsm07uW8rcTA9baeQiX6HhQ1BpW0zPjcRJYsVrB1jfFnqlcts9ICAxXlVu6h1EI53cZyU4qCo6QqCqosQbVl2snq+/89c+/Y1/8kfP6/P9F18vfqrP/On9eb/bT/TX+/64n1/Mmxo8Z658MUyvuqVGfQeM9a2hqfIaaEBJc8+TuHJ89txB5Qe+QCXvzWVMcx4qbiFJyJoaMIPpAWE6Z65yXguFK2RXUb1hUzmqTJxcrrFKzZGiS8FEckJsOJd48usQlVlunuz2IS4JDYO6DNVEz0Soo0fwcHvEQGwiwiDyBi95z/rkYbZZRudb4yxbJ5qM4bkg7ywXruY9vERVC+ij4ziXCk7pncp2I6a9oEst5rUXibELjNHopB/OXeIqVaZihdUYA8phg9vDkSJHmMnZugfxzargNNiokkBXVmgDZAs5MGiblRHg0kPZdq+NGAiKEZdk1tLgph453QTzjAAw51WKhhujJopKbORT6oIWtP0LRnXB427qsY+5amYyGTZrlhj7+XiQZSoZkwvSrmOXuDFU+xaOJLxgk3gjH3h71FUPG+Obo8ZgGqMx+76f7cFlzodVyX1Ovl0kEytrztiK1G0bHrylGwbU7ZGkVC9og4wdZDwS0Nlb5LQLy5lweniZHBRF+0q6zw5ZIv2oIH0DdDz9bOzYl7K9rV8QFkFWb+lvJ6qN8hMseDAP7WXdFWVMw4VyY4q0B4+c7nxUckCD9E4BLI/rIqvdbjZuvc3V1QMLyvpNfG7uhWTc2M7glwF8941Pj7r5gfef6lHX9ZXuB78D/sX9qz/8vf5H/8Hfqq//3//u//7j28cD/pnQ3PzZQIdD895e2vE7ZqPZrESxVe6PrXSxZ1oKxswaXC/bAEybEjA9Jdd4EkQZ9+MkGh42e5Oj09kHXo72IapCCOmOUr9PyJ3mxKbSZK0SXcW504YgM9j0imfkNnbAUuROuTPj6xQAwQBMQHJus2CaOzaIQPDkHH1hzbXU62LSeShhJUxwulUJVjBwB6taaea2bOknEGbYA/uOUJ6C+1btzLI40wcM/bnDOSpM8RZtOfJ5wdgE8uDfRoeXZOjcHJNHKw9Uhi5uZ5VwR27mQpIaGxC9CueCGt14+R/a9+oH4IxyMTAcFn0nXf5sB1oJ+hhY21Ss+zPDsTfwdQAK06Gpt0mZ8DiSkvDkAa7agHdvk3TojQJuLrU7W7J5ccaIsA5WuC3aIZ3i0XB643B24R2Do/PVJwK9oKSZWphS3wgjW6sotYb31nOrgRDdM4qWNox7EgHKNnv9eYGhlqViTNahqC8n0z/HmcdMf8kF+9MbxXa+iVXjnT2+EBqj9YGM1k4dx8J2N+pKUlYQBd1iLUXl5WX7KNBl9N5uAhwdTICEmeaSPa/fn1f9TVzTCX5CorGfhNKgDFaRFOQyETV+ERA9Bqfse6OsgiImZ+05wwk1awMXk6/cA864IycdbEiXX4XcxjdsZx7rR2BqVLN1dDDGAnqH9OCAzNw9VjcU7KZSGrwUGa4gPV6UPdK5Wb506xRvGie+nVwIloLWqLUgfSA+m+SdGlwzaaHdxoU+ajXCw7GzGU45P2pZ3YoKrA5kaBUrZ26O/Ky6Xig5V6LDckb5nQ4h7tjNljtHYlqavFwgoXaV5xuylM4uPNBagKS9ZzMJFljSAdFbhHWAHTqEh4vTODFPNKgWLlKQ7C+/88M//Df/7Pf+6s/+xU///bDfqPfBx4/3891o3uOPr/38evdzenC9XcZwNMXKk5vhFOpOdYcN8BHR6XXvXmiMXTPjO4bb2F+iS1o8Z0u6gIKnf5xpD+ejx+yMUAUGl+cW4mzeOFQGNmXoODEzF/Y075xDSdIUINniyIc+6BGNZqprlMMXBdu1V6t61ep+JsauMVRWEzuffUGQ9I/0m/lEX9SknR7gCpo9GLxurklBkcU/S9jMLk4fukfB0gKymRn5PUEUwxSBKULt2cSpQYNOgx09GhuunbO5xSbP8ptmX1smrjsavNkVCnZTs7nh2lgA/Ru4aWBFTgla5Uq/wqumcohMvQcqSNRXFJMLBYgJQcwiystLBaIc/MH88ix1AOeD869Fg6vazh/fXNlJGl8ER/dYljhzdU2gCSoN2ta3whhV+vT99fwY35bLtKTpFU8ILzmcqzhmP1XfsR7gw/UmVT17eG/rMKybfPbd3dkB08j8aPS28zOLqZqmi862IhL2gYEVV2kpyhLMGBLHrGwqFM2kYY7NnWQ9SWzBVWrBXuZ6RKJwwRMoyIZbZqDt7SJvpOjAipgWr3rF1BuLGRPQejELWqGCS5wOK+olqgy4wUp5a+gxM6ZwPerx6fH9m++npvvOfCRMjT6e1NNvZAezzIJyrZlm2/UrqcQOtfbh/uS3m41uFn58kiJ0X/zJz++n/rl++L3f+f4f/Sd/8/3r/+ef/j9//Ysvv39//4ON1CcgJU13IWInWJzGyq8PwZYvHkgUW+JFF68xSopZE6kOVl9IYAUVOcMn2gpZ4T/RFaxzHQULCiXkPTd/fr+O2I1QDrqahIexbKdHyJAJAK9Pq/ULbmW+51buJqVaURTzLG9rjwUrchABSyOcEtsn7nu/VnJOlqxbJeAe9qm0VFjjwU5YQIQJp6kPDxGU3YNNlAtGbkrlXlLJi5JtFc9AKw0lfo4QISdJeBCckxg6uhBvpiiBfPVZ5Nv7lhL2GSj9FEFRiTrw2tpY5wZqTIvZcZWohrErYuNU2jbJNqXTMx6JwFIGAX/Q7vUC2AgHtm8egQTSuXBRbS59wDvF+7izPXeDBG8ekh2zYhZJREjFMb5lrQchczQ43tkGQNRXlcw4D6+O5lqUg3Nwq9EkSG4ZA3qWs6K4QbZ5CL1qIW3TnLEgA2BCne9y6xsJe81VhtAXgBfDl46vzrnE8wtID1V/6dcwYVOjCBsHqFpmO4t7v3uA/4BNQKQnzasiFnHNjUfFNlaDUJsaGTkhmlFbWyTmnilnfuW0jXG5buwVOX1nKKc1xMBzZ3uOM4F5nNlLe0+A3+C/rBpi7kwdwzo/84NWJpjw9BjlLarvDn79tOnbwBJygWhUBDbxJtjRt5Tp0A8ohlHinDDx+BPruhMCcy5TDLpCuqgdrvSo+Gpvbjh8s3ymZM3Cn8nJDQyGnIubmB3owRnglqelXTMEpYkTcujq9okTGhWWIlQziBvMmlOe9/JNmI5IJY57pG32qkl4e21Z2TovYIwmd2DUOdu5ZExWblroTkrVHqYHXsQu69HytYxeMgZTMOWhltmbnBAZJ4s9xAgme3lZs3PgnruaUcwZNNVuffc/0p/+vT+8f/zp/f2+XH37/vJxf9we9bA/9Hzv2wOW1Bpbslzg9EzDilROWa4D5RTQJuEEt4mlGmjj1rQRH2VlpTplHpSIEo15Md4U9xDD9tw37vbOWy8nnQVaXDOlzL1iVJAQO082UUip+oOWZ6IUvMokvkWYGeyYmMua5Rw1DJ+pjAwbTyjBQ7fkp50XqciANmCKbPhKHByMkelpFjerlfHrpEeXdo+OfRF/acgPtOMHI9BcYmhs9N4dgQJ4QlGWRccR150tFPRt09aXzAxndpuPHCTdlmYEdDgxCQ2WVTCqk5/F9i5ZajEsR7uotYRPLbAbb3gs4Zb4HFeUTLmBL7ZMMVMqtvY64LLvdI+hehO4jaPbRRGuDek4HaBgo+SebZ9ozOkDQwarYEybvuqCAI5C6t51MzHsQ9G89Oln9fXzR399eoSLcJKFZtJOmuOOvGfG9YClxwOPn5UeiTYeFMfjoa1+vz/e+XF7PnZf0z1jbQF4+BkEYhnGVRHYzxNPjYeLXezQWAsQdfdUyfdA2DCUitW2ZnrmeqIvJMAxD0wCVAnX3sQ50go+h0AH05NhXVFtpgKZEod2Z5Ivcdh/oyOXC/mb+AI5Oug513KT5bYuYXoL+FZdNv3pu7ff+cV1FSU9n/dz8PE+HzdnSGCK98fTT85ACTeq3Fucu7MFfKk8HvupKerufvQF1+37ga9f7gf8M7x94Ve6vnf9y/ll/cEv/p3/9G//lx//7Zf/4kvjDbYGb/Lt3sDgMcIDjEuGPSBr83JkpA/nvHjdxFAOz9y9YczrkUDZrDqII9LiQi5vViCHQB8Ryra7s/X5tlCp+yLLYj7RHgMjK4EvtQjWCuq29oRjEz931aIvB0RAxNtOAVwIpDRh/VaxHwDCuSYzlhqnNs5eozeZce+gVC8vBDYmk8hU1ylcnB6wtvIWeRDT9QKgZ5IA5T3DtPj44gQpdCvRsmNgpYPnsxnSYUH3UVwCO4LNGHYyg8HIOo5hgdGtaFFHnjo9FhwYmdFA7tQ3jl1FdqJmZjv1ZEqTro36WllFdPipQYOWIjx+pAV1UMmyIuLjUT0elMOr18lduDLTcdZNOiwemOy0INibYyI/cHd0S4HtM/kjXR69sRVp5pywjG31rsQuczJ7AENreJsX3VvMOaq9XBgrljPyo5JSbHDuBggVD7ZNiqPRcPlknO4raHHGWSFp28nxMLBmb4E7v0K+yFm6O7hY+KDg163lhrcpL2CC3oOW1UpUl8ZgVS45UrQebJOufYijBIQF9m7XNmYbbZviorep4Nw+7wIzaW3ADJ3I+jKbxQn7D59W9/g4ghjhpU9zYQZDV0CJYzXF3qFOuZruPp6tdLvY6j/QPt/OohXCyZ9ja85yA4zFm/JQFVUHCKAnlJm2goKdWWRNZMrijKKQM4Pv2LVcDpAikvgWlbJ9fNSApjpWB08OCbI9nDgHYCSUwU+5rMn1EyhkDzrA7DRDk25f5KRQj78kA3foq3PUw5sUAF2YGU1O92CdPSuHPNjPgpLrU+ulaRiS2PBdrsE5P4hkiEZZui6vgTP3D3sYMdC1J4IMGIHbD/B1pJPQotq1g8QyDBDxBNooEbzqajfhP/iD3/udf/uH+u2vv+73mkex3t/7p68fH3jz9HQ/P9/9Vf1OaUhbumYwuK9BCT3stPHwzKXoyVaZlqp7Ve3PdefPkzkMgzxMBbzczd0b8g7LTXJQ7RtEgz0i+mRnGNMyHKtXUobyD9lptkuvi7gAIIcG0XVxGqA1ivqO7OMUdkCdPa/S3F6yJuMrkh45YFmz537GEUSBl2GJPndS7pVdDT0rATUQHJEg0+BFWn3bJaHdikyf3652wzEaLEBHH597zpPZweFmY8cXarAIPHe1nfSeYG5Baz0ANL5U8hs2xSRNywJwQJLZmqwVeEXxqrG2lzoRtpre3oK167QObjUJqxbQuX1nrqoL85xucGzaiV5KNGuRY64F2TNUBRsK6r2MHZe0bEPaNyVPS3RzNrTV1gNDz1yXCai6+Aiz4kRYjc2mrwLkR7ffPvFn33V/rntzjkcPuU0XK9dKDRtP1AYFDB9vb2/69HYZ7BtPPd7uDxEz/dH32B8f/fFEtBgB2HwvmIdVr2fI+ERPq7EKg5dpybUgQFjt/L2NC03pjfCNrMbQfqQHfLofhYsYqpRL0ObeuAbYtqYAEZLUfVet3p6FUbGVaEuM6WvyHIzRibod+aSvxVPInEvbIxsEhc78WPMi7pJUJOZx4effPb7//u1n37sej3twf7l//Pr+9bPvD01hnv2c+jqO1o6cwHFjX6WOJAw9EMVBD1msaziJn208df/0nPrQ46sffnvrhzz/lL/+g9/7/h/++3/7v3r/L/D/+r3P9ZMft0l/gFTRT3R8/zsKKZZvpxIZ0rWTBffjcKX+O4tcQcMqOlKDwEybqFmSG8d7COK4HBiZDXhUq2fEV+eIhOkz2MvEoodbgAekTL/uZeiwhDUwiJYJc8KlgJ5NhkCEBEdow1lX016NWAB/wUgQ40IGYYmZRT2LMyAF/Zl0UEhXmvpmhykn/ZhkoyHtxI/N8ztDGEmvDH2dd6hQcK8gF7zy0xIEpO2mFxnbOnmAa3HTSzVzQ+blJWFsIspSJSYxshCilcreK0weO6TQQndOQYCEqqKZq0zNFdp5MbpaDM+BrwdHj+IQdFxMxcnosE3t8HJWQG2liN7IkUwby/4MAJUPyMhOj60pzc3hIsPX5k7JvKPeHcpFgcmunMXB/I6sFiGFKktVNq5UcNE4oClWpCIT3T8HgZNciFae61qL93s6PBrIss1pnpR5uoMcFLVehahtRQOFjW/NARM3Uq9Tn9hLmZc44eEAuzA32Mngpo0hsyAnDv25EC+L7UTbiPaEcSWIy+pirS4n8zmMgsUL2YvLhnFm9R3m0mAesNoTkUzyUDftIvPDjLL6lTW/kHv8Hylt4ZT/p93eDyJwUb4EScFpDSIVDgkWedA58LHSEcL35s5G7I6XA7Ihnjjg4JECpX5GcRVzNWrzHyiXZUxTYaG3X9A4SX9GUEkFTbjgMVQ7wnW/6UX24WGQmjNCSq2kII1bAL7IGl3jNMCo7Tlmhzwb3hGgJtj3kEuhpqkOuBJcbZwtZSJkVP7E0pMGEBE6uYIOmm1vdTNReXuZssUKlqFJO745op7XVZ3f+MqKXI48pME+rxyOyZjxAhDLBiz3mpt+j+PWK4zdCY4NBkXTVMl4UHODl/Fb9+//3b/ys7/55Qe8zw9dU3zH/eXpJ9TTjed7f/183x9DuzvzSonHQ8UOshn48clOed1OZxjLnJKac2UmXAZwR6Rj0DKrQEyuOddWOzz8o4152qSf7sadUVMaTYpd5WDwS98uL41j18pbbFOVrmCbNovuKI8iXrW9gZIpWgiU5GDICyj0BqsJonzHbAhVtI97ByfR6cUDpaueTpPijfZbbghp7YVhUk28+NRMgxeYQea2KbsPtuFan2O2N7dOD9S+cEOw8xyrcApE8fAPjWS7OBUlMB7WZaO8ut+cv1JKvfCxOVdryx/yZDyA4V9p8wpnGM1STcbcRA+w6uYMmKzg2FHqovx44OsH8AFwTWlTEQBVIegb9nsXDteRU7ncrWiIgkJs4bN65DkKCPA0+CXc2doXonK+pruqTKszJ2HcklPxPYw38g1sHN1gU+DtYDRmRg1jhOsNeKg+XXz4cU06FMGdaFb4bn+9+8sXg5gp5d8Sk7dmCH5idfyKk60RbZar+QJN4h9zeYt4x23s+0UCpilqbyLidMs9VRex0+0uaZ1SxFAX5x6xUG2gS148hPNcyXlgETzEp1FDuWbmRKmkPCizEaMiuGkuAY+CWv7/mfq3X1v37ToQaq31b8y19t7nFtsndi52gp04ISJQAkQVCKVKiCfqib8WIfHAAw/1EAmJBx6QIEBVqKQqds7xvqw15/h6bzy0/hvbluXjs/dac47xfb9L7+3W78iyeGrcKUClS9CjPn+rb37JX31X337zSEc1n+rTl+v3+uGH7/XMF8bDl/jleXPgCHXScIoQy+yTdS7MPfGg3OzHQzDc6nf86CdUhefDjweNx/N3/qs//rPf/un//k9//MC/+X/99fX8DJEXb79j6ppPrYb5cI84dE8Jg0x4AmDKs6j4CuD1wl1TrKcZ77SvqQlNoOqFY/uglCtr9SjqWeFg/lnSKQ9SQDk3UdSTi9im+IpeTLtAXwrVI+NZb/FeL8mxmgW+cfqFdSIt6QDGlZIqZ6cxkOxAyjvbKGwfkALeJxqTPPvQ3mpEOKag87V5J3XKzCIPKmw7M235OrFnfVrpFbhgZgot4YAe3q/nPUzTnOCWy9MlBB1fDBlyUnuPZwOrdtN+TyS5zERGoCDFZs7ZEdzoVYVVeI1D0USLsljPWR5eaZ3HwEX18jqpH9PTJJo/cPZaxZfZFQ48mI9rZIQlkt7GKAuWnR5HuzlCHR1siD9MaUUH5w4KzJXmNSloBHzEUbU6t1AMl5dsbmzYWudlmz2dwWONiioukDAIWU6j0PLDq16gEIvx1ZOwNzWm5C3imIQPA2zqGu7skCWThcxn9KIMTBCS6zoDka3RlUrOQVzykDCgdJxv274oEz2c+xhw/CpDVW565Rv3QrK5k7eCuUWORq3MBE+/YSXDR1REoBndM2dLrhg8bR4QizAd+6Nqd3FaChyhHIZTRm54YYcYATEXeR+Qd15vDcbI7MpUYktjHRDZ7Rik83RibsGK9Wk/pzZo6VCCGXvugGeb0+XF2iPWEntw0T0dGFYA5iaJeetjI3oJClaciC2BSXZ0wcv+z0Ll1KzhMEgEJ5BAzAmzjMaenBX1hsPPmaknt2byqdRzJrtXy5MWKUDMYmu1jGNKlcxVDUKpKPAGOVd4h99LmSDAcWuk0Qrlco6vwKMMJMAmlzjG9tWSYn14tWIOzxxRXf7pHhbEkEU1O0TjygO5RpPb/tR1f8a3f//xi//R45vvvvn4q3d8EI17+vm8724/8XzO1x/ur1+f941ViqfRxczwYnekH8/QxplvV6TbWiE70MnEGbCzDdbUdKWq9JVAiWQZ2NqRrEEzk/3R0cnAUg82mgtCQMfBznGDI0NEhiWeli1TUI9INMoInXfdJjGuoDv5AwEtVnEFOrR4SUNoUiEj+MX2cVHZbdGfWh6WI7K0Stwq1Jvh5KA+8Yhwt4izxbLnwhHMsCqOLCOu8QHogQsBRHrbjiNly/sebFRA9EmrF8L2g/RYmEQhZyO1WRhPTc1FDK9r1u2Y3iS22p65qlZSG40NkKwgkWobGmbW6bDsvlWXBv0igJuscW/gKwC1Xb7e0F9DdQAJ86FS3QUfCh7CLeazs+FVuMbd3iQKbrFn4sl4EdCBG7nn+TArA5QKS9/UtpG5aThmwyTwzdvj68P30/ftay7UfQeozIU6ZnugKkG+PuvTd/p0SW9s+0KOTzan7+mn3z/mnptbpqRMXXUNEQi08YzLflAQdzCjnIFdBEXzxuRybqxNFKvE2giErCSxc3UT6lzSaTVpo4vKdrjGXYXeriyzGDgg0Ni8sZRQwgkgvsprdfRrX3nukhzO4cJAGIs3LsHoRlWM5QTYMw/V44Eq1kOPC5++efziu7dPn/mpJAGX+sLjeuu+Z55fv8xzpM+6bsp49/PZU6IJtXO8eELobpZ0STNu6BJu90CPuYfX856v3/Nig19+eT3qp0+3+7/Hf/urf/KbX/zvPv/H/9Nf/e7//vXt+akf6a5QIm8UB5xieUYZcHalwAlnftKjjoAcZ/EBUKKtwUw/TBefCC4HlODrGs5y78Ci0fcg/zYnFki0KLwM2ZERnpsehBpN0EUHlmE+mMCJDw/mufEXz970PkfPyhJc0sJf05aEBDyv4GvMdV0nLzPipmQLRSbAlJb+ucI40QaLPB8E6NhMD9CSfmNFKyn8znOgmVTVgU4aNkMuRu+UZOhzVQqnzNr633PxSvve8GNTtrEGgNWHn0HdQCXh0OlxhUDHd8YViVs+rEGLBXTZccTmcIaC+nOJM+kgjNwgu5RlrUx5kCdX1s8ULxBGADx3fVCYZYy2C3HgtxQYnChrNtMnzw4SU//A4VJMItPQc0Gk1cFxFxiSb2R8ZFitAdhANV2j8ZXbN38pzdpxsSWugTjOadBQeUa5G9EgLwgKkZcNsu5aGhfoQpXRQSryUwDHYhR9bODvuYKIaylRGRZ33CrMa6OLohjEyW1guQiQ07lTzvGmiyn/2xkNDJXcGc4IGZdp3WNCt5wohtSHGo84NyDuOJuNqUNIZuGeLCl6R2YIbG/vcAr7rOU2aBeviNuXPFEsB5bqtndE9YLW3FrAGYe6WHOsJEGaxQQTpTFdFFPVNhMNgHQdGrib0I5bWh9TTxe1TXrWKbMQU9Qu0xSUGAaJKbHv3KurQ078UbgdLPgagUQOIYa9NCJEZPoUvKau5LQ1gvadF2cdVD0g45LbWeljpnVhOx1gKpicEunZN1VnhzXnUazeylvZpqU2xpOxBIO9hKkBV02bciMQSfD3RSSwITxY6OB1pYacyMfeBmQMGXg4JqPNlwtAu7WnQ7tGkSSzgYI7y7H2HCMAVBFk8Qm+8fMv6w//8rvv/vz++oP9jm7ePfc97+8D0zc+frr7y/gjKDrLgwKZbGnaYrOnkdOYboqlvnuFpPnWfZPwKNqK2VR/wEW6j3IraSPIPmIxY/Ta3XAfS3xMpkyAw2noqcZSjWkBFvCICpkHZQrDDEIyWryAGV+q3gfHiD3buLhE/YiYktyRYvmFF8zsVbcQ8HnNq/Zb4gpgrTwj30ArEsQAnEgY85njowJQ2qzOGHSwTHO+wayGv7xnZZ5iDsVcXMGwDjowYPGo1bjvZGGlK8hFbrROEAxt0Pfocqeaid8GVPa7a1bhaGLLLu0qtKNYiVM1B1XO2WP+HLII9HQ3EsZx8pE8tyX1dCzRSk1hiL7xki8jU8g2qYN5+vJyAJ2TYu6VYm7RNStozP7MYD8K6AuXEoyRfCi7kttcs4M+OURdD759ut7f70dHwye621fdPjXVzcRgXro+6/GGt29LguDlccbPxk9f5/05zy+TJnmctwr3thzpIjHR6a83fB1WOif4DFw3LNYmUVxwmv6ki6CLBfJkiRZwbAMEBko0Y+UygXAS0z28yFHdFOeRwQp2YVyangEuqGuqc7LdN8/YglQfV0QiUFjfGFDiM8DcnAc90LV5q1NyFfnmS6XLb9/w2+8e33y+Hpd40eDDfFx6Qr/8xae7G1LxfodFf8eHBN33/WHfaMjkJaIReScYm4eSGO+4G5QoYg/w/ryhXK71nf3A4yum/+Nf/+Yf/uov/jd/8v95/u6v/5/vuv3gN1O3n83L5ZpSXNcLoA5XIk/ruWJ5bpAvw2/DyIyIXKvccvxcB5sZHRQ3OtKD2iTDCeMqdPaKDgS9OCdigywudx2EZZT8Y2A8kNZusFViRiskfoyeCVu9IFIUtAH2lETNSRDWalam0gME2HIneyL1I7wH114aO9hKuTcrekjtqIq1mOKQBkm1OLFX2ksw9y/20WwSUhDvQpQyAzDHCBL0F9MW9jYEcyomBCWu2xRS2keW1nsbqGD5a7r7maAHtJfztCV6RrKstAZbdM2YbgEdMigGW4banCtpc2Yc8dnsJGcGVTIwmsqMnn0f4XgcPWieGbHtQwpr6OciKi8ynle1WGFKEybm04+aq5thTUg9H6BQkWFyEnu4NTP3Vc1BnqOOp8eqK7diwMsrHyjX0UEXkpoMszI4m/s/XnIDZIXsQiiiMPgCVyitSgZVwAYUT8OQuakFR1JQOGB7mILY8w44MVqxW7qlctrZ+mDLlUFAWlNRZpFKlfttTbilawUi2pwumjP92Utl2PSmgUHxgBSOgCb9rnkyq7dKWsraQy3Ls1FW9dK0HI4JV3q0AFmEEubj5TASs4eJbCcnAcpKQYo1Kixv+HKOeiJWOEbbfFvm4S/yQFYRR9k7xT2gliLcLkCMCLG8sT+7iw4copVLDVwduDtDQJnOdNaj53GsG6l8Fg/ZaybPn5LRWHMnexv48HxpxYPCOHeiichUb2+tHon2snvhZDU0GlJSJ8OC4KULMl6KnsG2dTmkwt8uFnZAlPQWMaYMUNBgEpEhGNSJncJSp+T0AkVpTLYEDHLjM41sO44XKkrMOqaIaH72bFCMBQRQFDfhVz38/PYs/+rvf/NH/+w3H7/54etfz2Muz/DD93No42PmK+fDHx+b6j8zJZMSZbYSm3C5nhr2yJjIuLxjiz3wuJNNkurg8BDnkEbtOptt9xBBAm1chcNwN4ynMSbrVHUpQMIHv6ynSIAVs909m8NFouqIYQJyELhz1i3xeKJUPaqCs3FVc5jPvBBnt4b3EpQcvWzfgfYOKdETURHcIYljAqr0aXv76ArihagbE9yWkyxY8EAC0eNgvku0mjATv8KlEZBTL11avE4YDZc9lGElBVa7tiQFAFH0QRcKMHpQtstjSUl38wTtDk8V7MoYhqJdjgTYeqMxxQvqeFoZQdHGdlZ4+SatwfSAuViRQC3cbLIg0hf4TNacYhh+DkLOcFmOqBuiTUgvLKwby14b0Y6COIfQdEtl1Hjga5jPvZcRd4u5WEMXeEMiLuHx8FV8z8sYa/nlseGDClGjC2/f4e1bvV2XGwNesI0ZfDz744mfvn92r6O7NL61O0PwKoZyWnrQEHlSgXKgcDgDIG49vxCRDdqf5GuIiAd2UdPUbx310p70Yg+L1GU4Ry6LV7iGh/Hh1RbsW0yErsc5uF3mvYGG+/yHuoDhVbhTlkZChk3rRHZ2yFJe0Ax5vV28Hg9qPj2ux6N+8VafqxKId5WkehQ9eBQ+vb2J/hiq76dvAm+6+MEP9Ls7eOkMpuhMD7Wu1SXP0yxL7/YjPXZlXeCmvpj6qG8uEQ89/Lv54fMPv/yzX//D/+IPvzz/7Zd/i/r6VtR9ve9kOW6/3fRsGDa34i0n/YGTkheXZmbFtchN+rNw3EfQeljuaagOyDEYyhoSUZaQxDr2uFKs0yxGt5MyM+qMK3fbjuKeGQRZG09e6iApQBOI9BR/O9oIB1ruBA+gAAUsyCW/zLe8uysPJaKlw23v3Z9FYuzlv6W4SU+Hq0mJtjEBZ8AXt/guj0vhapHBKVhUbomkJV8Noy1qdlKH10wQEjDScTPSSEIUF7bP100+Xk8sCw1eiQw64BwAuOPL38rPTuGdaGpymgF+g1DoxPPFC31KZmu1QAhxYMyBYcXLbBCndmKFrg2/lMeKUwwBHFSCbKKt2Ysqf3wFeNVIrbwQqShMnBzw2oqUR7lhnefq5TYvEUW0rdXJRHUA3C4Cl7I+5aC0SvbDBhwBzGhIsMbgFXuTTbDE5QKdAZcLXUnYGr520kpauIx19txpxTYI7c7AQFNodChcjimUa+wkr2SrVAStScIKe1b9loyXnSDhUqDDWjHGvi7qDe4kNbIGQ9gqeqpSznPYtHtwhTYAr01L2moUpN1nZxQ2dS1UmTjjW1SfbTJhcwWt3pcnFjqlOp2OIS03N9crzUOK51SXOFIRZIwADcf5mHZiOaWlKFeNHA1FZskZ9o1TO1DmTj5B5XjKnx/gTCzxrKg6p03k79q/DTgDQWaNGWOPXMAJwaWFpO/krFi1sCV00PpRthwWefWuwXN65fZPf40CkBldMWX1Eok7PyQ6RIcD4pBJNM38pkVNSAaDFP2K+M1pTm8KRPhyRRjJVaGmcWUY6byOXLfewycPZvZU4+qsogSMloMbFR/QxsAReGQ9OG0Ka8XOpYyXSFeRCPOcyaMpYuaat9/4D//Zr3/1J2/f97/z87v3j2c/gcFM9wxa7x/P9x/v/pqxNECtNH8uPHgFPHmpb+nArzl2YWCGgSC9p99RGKaKDVAxQ5OFCAaT5u1SzyzC5PGsf8HBPnP2ReoWSFkKknxgiNj/CFEo05BDF3hPo32ERXfWeII0Q/JdWgl9rp+ETChqAqlSz2Ssl7jNFvY9ZmBl8l/BO+h6IuxIK1K0vV5xpS8gkVc1JKBtYpL8onV2g5qsTYRhhaOxE2KD9CCaPnQq/UZkVTL6shspL+WL6WorC11r6LOw6jz0wN2PDNOhQ4oG1FkgLux0jPomMNNcYC7CkplRqHwxvi+MUxyS7qc75BmL9MwI99Nzp36JUSNSlgtqvcQ/CRZFBy2KHmB9QxBrNHvfCmheyUNkEwRqALkdt1GvvD5Q2qxOPxAXmo7pjlSEiq43frp01TR4u8HqUEADZ30JqEbx7bv69Atd3+hWj68ZtD2Dj/v+8Qt+/OHj48Nzs28sNEsnEcszhCO42EB5NFctm/qx0n0YhrXg7UoOG3fkqblKgsdv97+Yjff6NlGkmTHIpoelRoDqCBj2rwTQ9cgcxERdmg7AdY2tmuFGlXe8walPShz4Qc9WUdFWpL1O4USXLlZBYj3Akqo+XXr79LZchzYiVGaVr7fr20/8inl8BqGvwvOdb7NomO1n97QqAwuK01dapgaHb1xX0i6bPOnm3e/tZ6FBUTXPD//Sn94//PjV18c/fvuz//zv/jf/59/98G8/dBcpPnm7hk+VdVNlt6zMGgQ2Szq31hZ4Y5CeDhEXYmKIoxTiHKlntKE6oPS5P6ah2OqY5voF8Z/DI1d8tvE0UAtYJ3Qed8yBabGJzqRU8oZfOlr/bMqYtZSmQeBeo+LWlYPk8y5bnaAKn2p8XpN4l2lMkg733MUiMxPpI3MX84iDzkNZk0I6y5QxmGEyljZ1U+BaVk1yJqUj6MK0OdMorTIWkYhmzPw2JL38Kezzma1QbgHdcpUnMhMLrCupdKxgeif4MA7uJaD3jc+8QoFyL3kvTKAWyFmvBz0n9vTEOhBjXFg9Sc+rAkrHNdhRbS/hxcH89tvvFJltAjSzfjiETs7acvIh2Ls5AcdssVKejPAAas8in2lY6rw+cXqbTlX0MkDqqMpktSLpEi51FVRx1EiCFDE6REVSfBUvUlJRV2X+dwgOEyh2yt/AmsVSUVdeH1So2nCZi3iQgqX1ES9sKdULrpULokC6LhVF6lJVUSxVJETBypbnugAVAEgSLQ3kAlR2zfYnMjVFqyBWcYqowOlZPxCCzud/hkhWuQpCapTjXEQBoqMkz2h2rRWgFHmURrCgE6+ZiN01TyNdRsyuzJJaCC93QeRF2ZIpSYJr51ahoX5xKB5ZxIXa7tHAZB5QRWODPYgWw28ohQAwabPDOI+OU8DytM3pjPYAJhkjYaIDoW/TRMTeocjvkkFV1Ak22RYhXMb+1xwrjJIQEy1h6Ap49Ty2I8TNUvDWcSn+K509X2/slAuxjUKh8ra3DilhH+ORjUBwOEWGDUwedgQ865YKMTzmNhj0DrRhDkbWa6PH/rJmrtSRK6UqBYVCW5KqQ3JEBUNVWE9iNEBVfePr4/OfzR/98898m+fvjXffN3vmvadv4qkvX/vLTx/P5+KhnlUdxfQ13N6MYZ4jNDPBzOpGAVBU40nfCfbDBcG0zaz5ErsHgREwuJFnGVdte8Y9pq1OEJsT/2BEK5QCRIsuUgrQLhqyZLHEApiFSA3KIlSU7mBUO1LL401qQ67ija+AJCkW0ChQm/Q9snpZ82RlYmFYRMIz0+QSU9ElbB9OnKz/e0mJ3OOdaNfVisGV+8eWxaytZbmOQQuIOC+37KpAJHgTR8zTc5qmZlzAVOrpHGUz8G3iKlLAfbvH3sI4KGOezbI6hvuZ3ZGgJ1a2k7HhrxdGom7bHihxuZEx3Rz2ELcAzHNs4H36OXMzQ4clQzbbTLwvdjWNUOYJMADp2lQR7fCfAzcARAfXmOiTsEwaFgAlPWXOxKORf2wefCQaaBjyKJfaZ719gmquvrpvpa1Dw/MgjIZGD1yf9fZ26S1Ov+FMG89+3o37Y376OvdMJ0h0CGgiAGX61wUBk4xFXya98CmDi8BWvJQ4UghbZN64dzhRI6ZvezO5lAMq6kcfO3qQtcZMMoIym22xyyqgKKCifx8nYaZKVZBdQTg7NFbGd5F7b+LNIFVWWZcla6zFmlHEJapUl65HiG8+Ln16q7cHLnZG2JZ4kSAvVF316bM+f76uT3p70zffvH33C336jE9v/vwNvvvu+u7T9bgGRLLA9QAzf493WtPBzdgqhrxnpyRaT/Prs7/88Pz6xffH9Mf99Z4ffvxp9OXXf/72D/6L33z6M3zoKb1NXW9vUMl78nAUhMlJI5QyqsgoKIUZlKiDVFBmu3ZhYWn3VLyTQLfoX8OXUBaTh5Gaf2UTQqa8aRftSgrhHLw4eo6XVCMoi07wdI7w/IpurhR87y+gd4cscK6w6ANsMYHlXXNuJg0vPGwS2s8GSqIAdDQ+AcJnHNzAnSsyArwX77UFSCBY5nZYDHJ2KPZLjcKc02bw0Ag71gfHlCWVwlqzQOHiP15hVV6AB4UHw1IwzECK7sxjtHfwLOOfWnwvmc0B+JnjIimEDrId1FIizaiYxGu/JlLnrQw94lB79vcshmmERi5svFCw3DOO/aintm4SonfhC/H1Spp4zxI/St+2Bg0dK/7qQzcriqA3Cn1HfwTZW5pWef1JWKEAXSiW860tJYjblUNhnOspeNL42PHICmtTu5aq1tRMD66VX5DJ79cFuxJdAFfGtinGwQha6BgIi5NBYIFdmdOepK3K4491FzeOW1hYJrN32CL9iuxdZ4c4o1IY5xQdyftKa4jwrCQwxeIMcTkmaZ+c9JPXBKNtU6lPZyfMZ3pSAHSt3iNeEOW1T9KktTUWzQ2YLo+pq7Ckb/BzjF8BeTkMcgNAhPIa8r/h5whLjksFhHa0lZnJTlGXtOLPl6M1aeI6CnYvnzWbGAJC1syOAsvdJhmoFdOErzIrw5HTlwNitV1YM/L6+GaprdROwcnHIGoSNruvbdd5D07hnSWwEVfZZ46h9opmK+xQNhfTKKX0D301pjDNtq8kCOyEvrTxyLeNeN2YuROBFFcNZzZlMDs6MiEhnE3+D09xwigJa4d2LvV6yNmISbRYWlRJpFf4H4Z+XzSNvTJEEzYkkY96ux8YPL6dP/6LP/78d/H1+Y73b2H7bhiYno95Pvnlaz9v951mTZiJtDv53qTptgx5nlT5nnPnZMXMlLfaXyTsuCmAHW63VqVU2IoKJ0u7CaJnWL5vDN0yG6rweCkPLZ6c3fEmH1FC5k9EqeOTflQ57tN0Kd5Ot3vTbpNzCICJfstkMSbCIhzzNFlzmffapjApVArTLmvcO8mPbFscJN84K6BA8KX8XAeD50hamTD3qdfFm7/dMasGjuiKZsXSeCraT/Rs1Zez6Vy324qCGFSlmSYNuauCpu0tpDpRMDln4AvsGeVlz8ZghI0qcSYbdmBc1Oq8j5tRM9GzuJM3O2NwoCRDwDfOCJL3aRV93/f07WU6OfZVGBTvUxzv1IkI4QJJeZG5VPzbwEv57dztopV7parQkGQlN/mFrwmIYCAMfhOOcDWFVSW1lfzmM/uzno96/+CVSAYn4Ig3UKJFvc3jU+mzTj/Pdo9xt3/88vH9j/Px8T59eWY63Ux4ak4iB9oApkec55hUEZ5zJEcQ+7PvJ6oHTOLl6cpRF+YgtxY1k1FLeVpDGpy6llJ9XBdhZthDrIcCRgbFh/j1xUGayl3VEWmfpj6XE1KTkUPXUfiLWP40ccYZLaYkNQ3pKlxQqQpU6fGJb296FG0UqM3d3bCXa9wXHvblT54PGnPVo+r9up9PX2yVKL1z7r6DqH+kRJgzHS2hfBduD+kU6hAa8/4xxGfyeY1+/PSOX4x/fKA/vv3Of/BPvsXXv//f/PS753/tj/qPeF6XNVTv+X4Rt7nzneZOxHk8RQNHARgojT2zo5aSkkzYrtRXEeNMbbY7t2EHico87eHhQmcrxKM4TbG3RftEnEd1wsYW18Ami+6x5oWREkhRG2SRllKLSOTs4nBnmhwZXdqRADTLao4bG2R8ABRGv4SzKF8RMAcf8+LOaUgRAAOr54vsJhEQ8h6gK6JKxazF8CIiJNaeEEgd8hjaSqWjXN0iOblWZoO6FhjPmNGxIsVEHbhQnCIzicRmRpElYnRwrvKl4ugVL+CwFLU5KTA3kDO8TtD0J3zlLtF+h1hBIgvzCXLx+qlwDjMsGZPG59Ruq+gJS+9dPIp1Ai+CNtCTuPIBkNoqKmFPJHZ8eu6RvUoQbTrWfZjPdNO0m9R1JY1im7iUlmRe7YqSch7OhTUvXI+4ZzKrlPbWmBt+jCJX5pBo4cyJcS/tnYW9KEjk/cJATTxIt5BGRJjE3Wg0tWaRZYw0wuXcF7vjLq1AyMyI0NRx2MSqyApG5q2cs4QzxKWdvt2mObsfA73cK3uAiOFMpAbCoDwNnBmAge6zjzUbo6NMd854dZYAlxdKdpQQ0lDlMGvOGAswGooFNjs6jGKziCjtAoDsPUqg05KQYMG8Zwir2OvyJuDM3LlWdV+nt5AZFxvMsqZSFfPCUeKHIxDuvc2Q6NOMFmPDRWXi8wxQzdH4Dtob1/Csz9JccQKQhKlJ9W+giNtOGsQiojawXQTszMIyC9sEt1+SyHz6ZIWvrqe0UxgTUoY3o7mQAIjOfvHsgl/DPSazYJpTeHksX8KePAsMtifeRgDrlFTQ7e0rovlNN9ZEbWxCLvQAwEpotNBtpXt2SQPSF9WjwviNtFCPUuGuj1/8o29/+89/8eXTD1//w9fH188/Pj/a93TNU7797Pv9+Xx+YHEWgqUeSyhRLPIeSnl7pXvaqrnG7hlXWpRJKwCfZbZVWDexubuRfR3mxFXEsIZ+C5oz7YgFMz/DkuKl5bQQXAvpB5JUoUotHJVPKf1znjOJfexE5TZdFNd7/UplJk051wcAGbd83fER3Q40Yqomea8+skJsetU0MnNiJzq7iPvU5GUQ6lWhJhoWjOopNQOJztWRw3NrvhhRsjpLUyF3PeBm1mF09ExjkdmzA//s3E/HLk5cGiOB2BEzjJAUBFiTMR3AdJeIp83mLT427sO41o6GUGAZphAU4LUikTsldGugOlvz/Lin6AyGnX6qn4k5eJAfMIEegsM6BGOS10PqyZkEtMCXy8WyC3wSPes0iu5/9kyKnytNjq8NYsLcd99RV/tRgVKu+I8BQxvgpnePrxaFb4c/GO+3ngqQeUNCE4Uq6K7PVz2G5WtKx0zZ9vs7f/i9v/7or/djwweMTmBarlLkvyANrs0qTqPH8LBWYrCYgHZJrD6Ra+1qjxRaJzdLEdY1tsGH4gR5XB5O33x7XLWS6IT2dGWkGOqqBF0OOZ5GaXGKaHDT3miWLzNA1aKcpcWRuXqKmIi5kt9kUh714g1fknHf5jfAA35clw1V+e57cIkSKbJxUU/Pheuu+fT2eAjvX5/PN39+8HHj+VC947pU1/vXr7w/5h5cNZhrjKuEpFbAbpFzb56Y8ECh2ny/u3+Y9vtn1h8Nzcf789PH79+ff/jl2//Fp7//zad/83/4/pt/9/nB/on3s2nOdanbnbENfhnsRpZ6Rmx6IVCX3fGE57ubGz1jrNgRBDU+0QNioPdY81lEhjPTEsWZJkAOM6HKil4IUbmmisn9mtac4W4naybRvntPb6BxTh/mGNJSh8IVzj6buhRiNiVOHAk5XIWOJSsjMmTOcpzb7yQcMhewtiUN+J2+JdBfkPLBhDiPuTrgIuIJDPCWYB8tCpc8E0++JA9l4ONHhWFjIvZoNEZRjEB7VbiXJck1HSClfGO715llrQ/cR4SyW8PN63ziqk1xYS0NkWbsMJUE3NEjXnsvpoIwvDGWedy1WmfmhN3uqlCDPkUveLTDfGGdqf2wxGC0muRhYgr3vc3LaYf4UjlFG37KipdeNQMwEb2YOcltSb5C6bJHRRerpCtisbzaSZ4sI8qsBASG7immZFeB6uAlqChmARdncr5pj5OX8itakkhPsUTZCU4RKKtnAi1LY9waT5DdGR59SXpQvUJktuPpTOkdpfuQI7rWcvIbeIM+wz7AzO7p9mSu8U6AWuhhQzkNn6yvA7rLsG9HxGHkGg9BbaQ4T5UYrVdmXS7pFlIh2y7ClDeywAdxqUq8RBWvKJoCQ1dYG0SgG9xgcQac0CiaZgXio+sY9x5VCYw1II5KVEHBvKo0Wvh1geFaMHgRlgX5Y/SBEF0we1aYFBraYcSz2qJPs7CkI3uOn62X7ZNPgs783KzerdX7xzAPH5cCY0icCSPStOOcDXMRLe/kQQ3pZMkuFbqdMTao9gw4g07c3jmiVo4BvPJHNr5xsRPvftC2XdvPZ8A4mX+V2yE7MjyFbMbdHjvZxImU5YCddQuW1nvP6t0iH2LR0MV5GNR1P/yG+u38g3/xR9/94dvHly8fH9PPVs72MT3Tvj+6P2aS2Qd4xt2qFTlW8AaSNia5UUkCNslKRQRcAX18JtXmBE9L49255gBNEVLiOZj4hZynd55pjwcdYGOF71WZ+80Q07pQIi9B0FWqYinCgtiKWLljT5TTAUg3aSJ46nbxXgVepQfR2krac7ewsojAsjJysXJpLvN8MZrDSHZ3XGGaXKy0jD9TyufW5VaeDrq+lPbCUxKsgV1bBqofIERrw+Y8O1QvFHZkshuMkQMo/lpErwFo3YkOkcWKvt8doyCmx2D33OO5/YSnd5azdybDzCRzGLgBVMqIDQlV1HTZY72mXFjXY+Ux5rOn3Rn1KY2qBBZVh6nfoCtAqYuj+Mvql3kF6bA0OhayCrceGrMAKlj+WYWz11qktcA0R+7Y6xvKnOCciRdUI4A9dr99+ubbbz9dDzRGYHeSZmTRNx6f6+2XvL6rt0+qB8b97u7B+5f+m98/f/zx4/3ruz/umbnvuJzCik7URmXOkX4AmJ+lhJxEofZivuyCgUFGCXEDPyEWlmF2cs4gu1kK4je+qObcYwbmG9Io35Su2ORZNfnnnF57IMLVh/CX1aRHQ4yAoq6qEvlKG0s8TuaTAyu3RZClmO2iAxhh66y3B98+8dtvrk+fVCqoKaI997vpgdvyJO6jr8KDfrs+ffr0eLuuT7w+Perz58c3316/+K5++atvv/3l4/HNdb1RV0wGEYbQhnrke420AXwHJw4CN/Dx0/P9e//4/fPj2fd80Y33/4h57z/5x7/+y3/1h9/98XW/Xbq+eXugLgMusgBVjRSlAJhos1x2BTMTN8iFXFExxa5GNHOEseJAMDnVwYw4p9S2Zzao0YbvnrDKL420ENxjtnZ3p3YyVmqZcmKLOBMV9JqPlFALdSYYcBU3ObMn8IvTw/dL8rCIJVnOnPLzD0GcgQQ+oDNSUGFR4dDbQb3zb4WDgxGMsI/avDsjDEtUfjm7zcgVuEgvQsbhlHf53cHDCShcBVIDkRdXX/KSE2jWGJq/uaELtShc+uw0KWGYjeTdY8wRw1eYy5SRQFSI3gdiAC5DF6IolvdmSUzANlx56NpBtJGwyMLkskmK794MDbsPFTFGKAwTkLxH+3Zh8WUyWSQ2ERPBwgez0giOYy576WtzmRle+Wle5oJSVDIQdCVYD8tHSN5slu3uDJwskChB2XDqdmBQPJqFk1xh5wkS3nDFzakB4GRhIt1FFkM+ljYCltuXpjYw+Rg1zdimcki9jBFu8mHfuThD+icXizMqzviCvJrYRe6sZmvDF4PHO0Qd9qYPntaB/UjuHI70Z0TkWzLRi6EJ4zn7FRzEouUBj016ubxwfSlthtRlN5ssOrIgmMFcRLgtKVJcDDVubTPIlzEZjDUE2UMvpZNnMqCrdJwDSQ7bYT+me2CyOLf1IIYaVbo2FzgC7oAawYL2CFrXezB5sdxAHOx+PdG9+bHnTa7DjH3LoLSJQ24FZaKTddRegVMWJy7jVu3svyzlXAZ2bwzSxlrkcD3jNLOqony+xRq+UIXF/gV0vI1bwueMEHPUevn6mKRBUD3HMqEV7SLL2soZmkMT2+ths9AXv0xzeY46Z8eEWSO0cAJNly2BdcGASvywLTyqr/f5+IM/ffvtP/326/3TD9+jnmw8b4r3LfO+cT+f9xf7CX98+MadUqwxN6zR28NJgMqktjKe2ZAqY9x0Ad3R65MKutMCzFQ41gaPjVW131f7rveiHgDooWdmLoXBdzjnhPJa4Wk1pXjkpYySSBqjFMtpbsXIPlIHRdeR81W2Zx0gMXvEcr0sYE5OTzSEyDzBxhabCenp8AiINLSTY7d8FCc9hM/4+p6R414C98jfDllp/49k0YiYcaWj8iaOrpLeC8VsDWsjUTnG+edBBu3VPyIK0R2wMMO9fOlbV6K085PbbJIT03Z8LFxUxLdxu6skUOiZCsCO2zKn1ngcqMjegDgAAQAASURBVH0KdTM98KjWZDpO2cNIFH0vHHHm0hSnna9xSfdYJ83A2QTqit4kslQC3BXVDmu//faBx2565Y1dmeEy03uadtNDtOtkhQAY+8opPxMgm3oAc114/LLebj4b8+FMo7txV0mfrsev69Mv8fkXrgvM0M25fv8jvvx0/+738/F1PJqmMeK1PoUcNZODZDtT20V0biS0Tx43MqYpmr8lrkAANcxE9A0MxaoosijLRNmWdM+goiEcCJA1qIvryQd1GQhw7R05RpTUvlkq12Aqoy14kkMXDx4o4j0cxkVe9j3VA2H3TBXDC0CCAJVxTX956PEoPh6kem6ALutp1MdIEu4mL12J9LgNa97eMura8qPKl4y3/nhv4RPn/Sv88eGnpq7GDZrNHl7yx0xmEXjYbRWnyCbx7C/goB/Q/Pr+BR7Funp++vHDn+5f/yfffPTf+X//V7/Df43PrZ/KLYisyXAdwZ7nTbDKN6qdLObVhyQ2LqKICHByAMHKqJ+K/BavmiuX44n5uWn0rgZnpqHJk1AT9pmcFVjD5flZ1mo4UGYmewZKCUXXtTeSw4ttzR6th7IhsHL5LAieCAQuHSsayRbYHPKdW6ItKha15FLgJ+ssfrK0B0GJU4naU/bOe0ceyFT829aWVsR0wsk4YGX0Q+jZIoFkMyxKuDEsK4+hd3YcU7pvr6JeUXfUTkxbmPIsyMXSFooPKjJKUDxZZrk2Av2YNcuceE9zRqSBwJZbZVCKmHaipqEHZp9Za2An7uZUdistiZ4qCBtBT7QfKYsjh0yXm/JpRf9heLZTzDMyMji9YXJTMV8nJ8cKo5Fl5snTMIgg28HPrlzhZDODsldkwpzUPj1Enh5GyXZIo/lasWmfUr2nrHsJyE4PddRQk5An4zQLfwtnNSFzKguwQUV5B5Q5JaCJCDu9uFBQ2y0PyVNxs8CJHJvSJAFbhD1p04N/TXtzdaLIDs9QSgjFituMichDCDITOgEjqY3pJPAwOTjjpIdvS5iogI2U0V7usXmGVOH2SYYS5gdTIULWK9NUcfNNEATQ3Nx6Zudm7CfJYJy08bgiQ8gTo5Mrdpwa0AwfIaAvnjipQlpR08Bld1VhSFB8tgtgUoEVXMCMSoal03chlgwltt2mdpJhZ+wI2gcoi9jgXJDGUg6ZyLAaWqcfYZKjgpoV6cGDBmYFVJvTPMQV6UR4gQi/ThyA04IeOgg7f8eL4Jo5WtNpZtjzZtuCjnXLq3IYkUwyKDf/M72ijJ3ynEuCQFq/RNtk1DWQekER7pZwsBRQLYaDNEcidPlx4x3z2Z/+BL/9l3+Hf4Cv3/9YX0pPPfGhHlL05X7vmwYn52/RH9iisywJj7jzqegZT8zTZT9pHjVb0WhPG1WHggRuztFBTU8OyzqIElRAY0+anr4SkGWfgYamanMa44nIoj0UYc42U9ozcnLku5JVwVV/xUGVvzZ7eZnDqcSuDIwHMBUKbwpMeh6NPYG2TaOdedg+imIRTZSVk1KwUeUX381y3RtzBzLSvuFJ7MRSCD4S3CTuITpIIahXHkcO+Jflh5Wshjzu1SRIMfpgioCvFI6g0o8RSIdfXszcTLTJ3t3REJAGfQ3RnuCZbRi8bvgBT6ZLx9HBtovb3JQr7K4EXQ751tnTU/fM3HTfERKmHSYSjgbQdw8inqWlxPkYquncGoroKoE4uTGLZwgIvJrZoJ/tFo9UTJU7rA3M0/rEAa5chjemgndrFikmhA4Qd1345hePvv3x/jFPsS1d9ca37663X/nTL0ufWb490+/8+qwfvn9+/ZuPr1/nfh96vd779Tgc2X1qHBBbz3X6nagFXpC5OZVaLsFGTD6XRxA9MaatMCPQmTXXcIBLJFiiC+LjqmfRF1+XnQgUfcMd4bYI63ZLcrsqxD0odiz/2NKA0BTRW+s5+T/Y/nLG1Gpplz3dLAzlZYGWb5au0qfPD2ptcw3xMobPHvt+y5ow3VActsix5x4Uboh8sIcP1LfEDG7PB6B3Uxcffj7bLZU9jwT4JXujDDBzica8WHi/+/c/1V1PuO9Hv+l6+xEA+zv/+l98+6fzJ//2p3//5b/D21Nfr/Y8jdJDes7O9LDuBulH6/aoIkk1UVsNIFdm1PM1c6+sCuC6VjAmOVs6SsywO1JHUpprn6FBAytiZklFLgyAzTvziZyJ8DKgdkCPKridnnO2nPKC41x7VcBCzk4BI5M1N2inyNsooKY7mMvWYrm87Jlz65EJB4llxOJBSOFhawqXe5TVNdzEbAJHhdEIDg5xE+oj1caynMFDMLIGwHL8eCEtgGPJCDiZrTJJMdiHxcj0cY75A8mdmDm8nt4B7LRJcOk7Bg4lI3D6wHf2CHK9GBkMXFdedXQIe4dlh0SdCafypZMCyyD1G7yUVynWGrZ88oAAs3kmRQVRCzERbnmp6rgkc32eMQHby2XKE7XI2VllgMimGb6haggMLxwGCsMKAEFuaaRXlT7RDEgcxU2MRTyWvflbk7B2YpOYaZO9NflaH9JBZiml8ly94baTCawdOzM4Ov+8zUQ+rrAUVakaA7ktGLy4UuCmTJFZO8k0oemM0jM25Xh/064ReLnmHTk7i4TgpH3tWQ9z2KH3I0+8QwYv65OuJ8XnKvqWolO6KlzMA/f2Adi+KysSSQdnJvjGvHmgzAXjBeAqToqAbKBr4W/xQY+rAWhcodEHLV/GXIwY/opB8vHzqZY+ZpKMPDCYOPdMNEjwyLbx20QjGuGgtsu6OK0b1dFShU0wSlE4qhv2mrACWQig3zpzQek9CsfgRRmNfC5ioCsb+QrQqNEmgXa4cR29KtWge8HarDaeNv+QTPumXqBjGlWCw4yo5PmTu+8m/ozF8NeqPFifZmpYRAgZeyU350Xwja39YmQC7BGl0QkLt4vRTZYFV4N6cHw/ULofX/7BP/nNH//lr37kX318POvjs6ae83XsT3xsMMbtj693t7tFGBflGg48uC6Eih4PqPF0tuusnkLyPPNUIkee6cxr6EW2KWs6hq29ebOz16tFwkyBp02qWkWcuVspRV3C7SbSJwA12AgA7JiNQiXzI0toJrhZQ+IdEVNugog12QsfQGjnz+W/Hrdbv4J1I54x17fJFWJGBZ+DmVukMapb7dVPc+F7XhHoDmJS+/myFBCp1zlYsF0NnMm0pwF1nGnaCy7D2xPGiLPkVgyDWJQqSwYFgoMBRnsugAn1ceYWN+bSC3fH+apuGXS1wH6YT12Xuim6wSoguTM5Y+/Ro7hnolWmqA+Luv2cG9ORtpfg1hz2jDhParcEFt6cYMw6zKD2ge8m5JEqst2keXccyXFSrhsTq5funDvDe1DcjBqqDFeMWlQBWzbaQPX1dr0Jn4r1lV+/9qVLIt/w9ubPv2A9SoMW5oMfmI/3+8sP+On7++vTBMTLt3kBN1zxR5xxJ/EVgSAzRJJET8zJUaQNXmMycC4bbI4yT6ziAUy5bPSsTyfrSVYBg9uJvdxkNeUQ3u65j6tyjNbMnb2pyvRLU4dgBarYHEzjCgAeOtao0JlZOGVSHi7sN6KW17KMVhUxj7dSSd2bw90MrvC8Byx+AruGAzwzYiC6TclLJap9C6XSzpJ6Tn28f+Ch/qDZ4iaq780QDVBzjJoi7avkRouur771IzW4f/n8ZszrLbze8+2H3/yL39w//ur/+3/52n/1fGN1xf/mS7x7WNXoUt23NxQ7fHvEBcRahHMH4OzLQBK59l+2pL1buO5THjh8+hgy/ELNvdqehCdFApKkHzKxTDljt07NKgqtunVxMPkQoGscdKJfRHPs0vHhER5mONESBTjWFAcumFVS5i5jc7QkKz3HhgXu2IqsNUC+jJZ4rNOrzBoYaIYny0mK9U1L4JmBY8+ZE5OydmFk4Ej7kTuEHPuxf+HIDPbbJ3k3f8yn9o885lzkyaqI7m7rtRAs+07Cee/xXENI0zauIYKIBCgjFTvuHPCaOklmAQewGS5YZK88RpmYpewW+eod68aIM7gYuJJ6nqM0PNxqVBR/xigWpBBUqXm3MZMRaHT1rrPAMoLZxa4YuzWISyZqlWX5awaZSEo3LYrjYSVS6bCaCI2xqkzDVcycYcTlnXnwq/26aSXHQ4nYgBAzZ21QCw4MYeJK9kAPhCvV58udDsEWQ8yHT+FpbeHNO93eL+dFgtvIHfEXMGpToF9UCziR/Vt5oOCUNH1L6GdkAIaTWISVfQEEO3t+e5MsPFbsI0v0rp0g5cMlKbB6CSc8NB6n7PkoAX31Y9RYn+Are2YgMdMnTzUVVJ9gksvwTFEBVtx9kK0WxDnkDWm39LYUB0cNXCswiBONw20fYNu3SxgYquoeLj6Yc43YjsRk2zk7QbZRm84XDiXIKIwoi/wzXmFW4qNiDEgVxFmjexT5wpIoSfEQVXRyDnI7IF6B2jJuDhczO28uvnYPMnF4XxwD3OaM3ro96MNqfOwo8RSLrJeyOAxjxE+hKtNrn0Eg0YdESq2zWQE0WMrLPjYxIAHprnmbS9Zt+3raD+KN33y9/qH/+J//wfV2f/3x6zxZfX/chD9J7749Hz1f7vu9++4s1hnD7v31dQmsitY1T2pJxNMLBbkrom8M4kmfBh/S1itI+is9TV+ZXhSmEAw2H/BYbXRHnkMs7qitgCp7UWKwEDmKysKAPlFY8RrkgQCwClkvgzWLGVHYAEkNndFe2zBVAHHGIXr63MAR1cChY3OLC9zLxDBarFnQ4tDmCSFasAtMwaXINtWa8F5FbpZ4Svm+vRpsH0hluQQcrCrYmolMXTHB0l7sJ5gMBhPEsv9JFDLCI6jK4WcLsfLiHtby5LFzx07jzK4YNxx194W5R4+YfU1jGivxhKJHSVDQy2P2ePP7h3sS4RTCrSdAVcjYhDSEt3fwHc5xZnm3Es6E+i7WbqaUUh0Me9xSqGrMjMnaud25bnceKGoiGywJNxyAi8vQ9FkjjFvLmOuBz4XnN3rc8XMI17w96nrovp8jDsu339+fX3/yDz/Ol/c9oMdDhRZDLQgC1lr+c4DAecn5gDaGMPN0eJH2zGpISLCu6XEkQiOeNoD2RQFPbVgcKZVG08JVung159KFjYqaiqkHbprT96j9dCYMj3Fd4TeJW8lTn9gIZniZN4npHeCoukysoXJ25oahNPAFTvC7zVIpENeDFK7EYEawXgmDsKnn3LivEmbmBmA/fYdMmYZZTD4bXdaArP78VvfnT/f460/9dSahW337BmDWpALXlt/tZ0HP4bWFdY+/fMxNfMvpzyMO+xf13l8+fuQv6w/+p7/56cePv/rXv5vf40386e3jUzStV+EmPxAh/2QcNXwX0avCVfhqbnUctC7l/6zCxBwQbYt/a/xewg20pxpjiDRCCxN2OGLDEXmMUbBPO52qq3wAp4CVr+rWQShpIFNDHYERq456BwtsIkEsO8wsd5eXixweGj6LBQFCqdUAeTkNhkxVZneTXtX2ziVieP5JaYwzAnYAXjz7JIjTioYQqHQrp3ydl0A8IC5TUR2G39NUTiwHYbVNBxNoezDC31ZMTKLI0ZO6dh+Lwvsf70JKc5H3JPsYdCdHfC8MhZjOp/Qe3MhAmvT422UtqOgMJOQ6STMoFcF1UsZAeEVevlgXQghZRy88R4dHxryyGXLeRhN0QMml8UkXZ3W8teQwuo+eZ38LQCChYhkus+d0bEoTXmaGxOOoqvawW64yKqnUk2z7eNID/YFRfYuYyzQ88+pmN2zAZZx+jLs+0hQjWKtW6BIQeM6cslmd+namCD1wCgMiprscRTqNL4ntgAlDgx6sRGVLBXLPuokFfxi8/QqCmKY4AULnFEgfLVzNO9e1CbCHYk+yuyUPCpB9XSxlCkVHHLFt3xE5g80rlFyRLmq2oQ9viFtGpjRXtAp52l670IbvljBZPro2xDbeY29L4azd5cAIXKkFaxXKhstXZCIDZJxoQiA4iKcp/YehBxaETVXAU28loI6AQ/2WXnrCjPdJEH2Ve1SmJ2UCCJGxoHJjaDVMC5F/wlTWkDJOOYQZbFbRLanvHic+WZ3SzMgMNBwoTkh8qYDxmsI3FxSvJiCcNzaZ5GSzmnAKrPWCH8KxzN7uIGrGYEMZyLlgrrZ9y8vbZnIUYur2UUdMmV2Srt/i7/zld7/6C319vt/fP+bLNKF6+pnRx8QT7+/P6Zmxm5jnNobTfYF05fztnpxnzZXsGP2SenM68wA97B1TFudDb7St5pl7b/k6bsHOAm/v4CRjIGqiAyLTb8ux83IrvsPGvRSKhEtKkvUCUQhtCC+iTE7b1z5r1rVSmrKslkR6mDl2ywMPeG3HySYE9iBRKRlWYIwz95pGGmVTFcZVE0H1JgSG3jV+1k+lIlVSmPfu24OpAssreFGSxE8kAFH20RoVMsblwIpckHxxPysr0yNgKn694WH+EEW00su4UatS2SSRyVVuxn+eS4ELRxanE/9X2aa0h52gXQxRRbC2lx0ZY/Utds/A2aPZMdBMV8atEQwxJmXmiZnxiyU0q0KDshLVQJ8CmgybH6FTG2VHjjIYTDEhYmsVEBOWrCvZQD0UFC/L5eV3p1j3DMtTuKzrzb4vv1ETuv8aPJ9P1JvuJ+6n379+fT7xw9enP1iowQ0sCjbAZbaAJOmnHlj/YY/hE0SY7i5J3UVOB8vFlRo6J6RY0D0dqnjFH2WgMqiRBi9ZnRxghkoZXCAnqhWKGsE3zcwn091uq/0+fJY0ijp6rCI23mdlQOir2EePDYJuIDl5fB1Rfuk0HEasiFnXIq7BNZO85M3oo2F3E46Ko/vui4PuxpNRH2/0E2d2nBETqlckL333DRPahnl/3tKl8Tw43ZhVoa/U8l7vgyOhgHuemoefP97vvG4EiH3/FtXj3+NH/oH+5D/7/HE/fvjXH/4Rn3hZjcI1bEoXcSvSlCYwvmaGOYyCImM5luz+JNciGBFqBa3yCmBSoDMkD9Bb4gRonhflg0Fhw7sitAdCg+ZrQciIO6j/1rHzAv6DQxkLvlEbtztgrZhxUtWbjMecsbYFZovOC7PH9io5EhzJjawOVFTpMyA3BNRxq56uISX95ChPAzpmrM3a1JYIXYxFO3Nk5qTPNYk972GUJ1R83BQEWkuYhjiDdySaaabWGh0wPUVRCvXVp2o3Xt7h2v9iorQKaBpzISSLYV4Rxwe7ywMFzdn62WeaQJy6EOFkmFHLajrgSFD1oLu5LNAVnDMtVm6WVcsvU+JQ6QAlrBvgMB9S/AFH8T+19fOLcUoDNQ4YhjQuryLZsZbEa7jTdrdiWcyPwRgWYNeBzGPWJWYE9eHVj3OBPC+LQHPswFaWyQpJsZQLwWRrB8fKEl7IECRcIpstlHEDqhV4AEKF/TDuZYXTfG9zyf3id5wwiduz14ewY6YNQqf8SDWfNXO8O94ENA1JlafZHpQqWJBpSTB6pmP6HGSzKK2xN0yRsihoaoX2kaZs4DrsjcFarROEnovjRMOsGSF1pGZKRzslsFss7xCn5I4Vlw9MmHf+Xlp689oXisXdsB153pJbSsSUAMdvd3zHgXxLyX6h0H/rHBEvz6RqicDDHWCCSQVMDFgGtIEeZ16deBDUcGZejR6Cr/GkfsV/nbrbt0JvZTbCpVlOfrDxserug8iAZEoiV/Io3dkYZlezCWWkHiMsPzlkWglcCtKl+3MbprZP1whszjOxcHJCYA/Ggj1J94bdf0PmgL64HxK4CIP3Q2OMNBCfGPnxhl//+Td/8Z/89vntlx///U/4m9HN59U0Lhlz4Z6P59M3+ul+RlJ30e6OIRe46Ee252VMuH/bUfbVxO8QRFXiHVmtPG16xiMO3LjvWamMwPjWQZsF3Gz0vqHQzX1uGg6mEryubHJjVEVw5Dp0noDQ4OEsgvXHRiNq9XA5laKvB2NfTO6cNroq2Tlt7eSiKHMDjgRXT4PShg67tlB5lOkeEPdYUCGCJtCZvj2VqQfnRkxPYNAHRlj53KzKK91e3MogvB0We08qD40mX6C21lkQFDmzaMYokKo0b2l3Qa7WrJYfszpZzSxE+j503LnKec9DlbXaU6qGk1QZZwUAF4Tqdl3TUKkT6twBaOLgnzujZDKNmRksXOEZMk45nbu3zeMleDSLgWYYAUAhsQ89A63edK8ocs1ohnK0Fyq95/36+vGd9fSi5VFiVIS3s9ha40lWj8iGH3B/ujaabPw+c8Wo/fGTjLk/5u55/7A/8kaHyYVV07yYAGhsCI5PChjmILkQj+oninzLAa0ZUQSOPHCzpzJQNcmIaf44d3J5DF7KcEwaUwI0wYBnRtfFCswJFMsF9D1A933PhKveXBPZU0BjyKU0VMimlnS7oaJ3YPV4LtIO+Osy834AjnABsFwWwcvVoCd504a778h5GVmD5v5glCkzoUhicA/4uY6r6aYBJgVwdOHbz58wH4/xl3e/v8/b5fsDrdZNXnBH01okbuO6WxeBCqvs5/BRX97vcj+e/pu5iQd5vX/gd9///u/+0d/5h//q7/7/3n//H/5vv3t8fVPxo3vA0UfiyFNdF2o2/sCpuX1GyB8B9vpBo3enELgJWJ97oCZihesR1uHkPJ5220stnkvnSHLDfOb+xJLiJ2jEI0MntNIHLUitvT20sWMhNEkiPPHrdUrMA9xf0TIvup/rfLHJgJtbTiasjKsyStJIMLxgvkcQkOEb2xkdKiHyh9S5jvhxdscGK4vxIU+WS+5yWDk7PUAtXBoHIicDk3MG2MeWgPPhUwCvmTg1MuCVO50vhq07l+O/z90/p/tNcRtJRPSKs0aZFbETUcMxkpvY4hh4hzZMjIuepDov45K6PtJ+ns5IQPyS55zPY/65SMsVGAUr+kSZAxHF5NHtPUks2BlQilsO4fSf22g0r/zSiLUdffJ4B4IjvHxQJnLrm2yBxQCjVZvk/x1yil5cekpLmmzONqhXrzdYI0bWXJtMrJBgNHBlCyWApiKj8OvpazirTwOgOAZQrmEDERlwr9/88EMFbCxhNsBFdGTv8Ia6AXuia31LYfBNFOTU7yduZgz3HN5lu61oCXi6TWarx3rlJ1Ub4wT0utwrWEjeZ5y96JwrtH2Bd+Jv6GLBHg/jDSkCGeNmhTQJ1b9ni/c/0/9xUVeSvse1OJTnxjLWEXn7gB1xXZLpQRFHHSojDmttMMHBDMKSGociYhQLIDl1bLS3w1osgZdZ3F5fwzKiWWqrsRGmSXU+daz2mDLaEUBEXPiyDTJtugRfNZ5wU8Zpi9fNv+fGaTzD3XRSjvINGtbK1bxy3Gii8GpZc9KikeFQXCNJ9HXLpuZVuLPgcliNFZPnYDYAFBjaaN28aqwbw7L0Jv6993/wP/yztz/273/88f29bX30XHDpEt/mfn48748npnV3GXcMsvYzTp2ZKV4XdV0a3+oAU9Sg0SmkZmKBNcbsMprD29y7a8Dp5+3ucDpAbFVmgr47aT0Ams0OXuyinQgCx7o5S2SPJMNR/g4osdOCwNEEJFVmKyXovq0roVYbNDZivlymk6eEb54woZ81N1KmZBRmrMFqiIArDvM9DJlMnHGmzuMhNrBuA9njAhGuPwwVZPYgoV/QMKVN2Nwu7RC57FTS65/ZjIbSxAM1+ynPfJ8J/z8b3lBlN6uiJRgE5gktIhAsG5Non3YQ8ANKVvZS5gU3mOmABDkNuYiIP+Tux1XNjL9BXDV34xPBFkyVh1Wy562ejcZk0w3PkFNP4wy1Wv74ZCUMCIqybAF3PdB95FEgU4APj4BG4gyGOGOXBgkXmWXl1ORbUoNnSbQirEXqPFVEV0cslR1Zju59KOD2QRqvpKHOh8f33X03n4Nnr2sfl4xbKsOraiaQwfTJQt7DvYjeE9KDZid0DQ201wxV4b3xkG9KCqxmDFX0PJa1gstbr0kD39Snx1zyeKgy+bSVARaZ5pgQNfB++ml/2LNybQWX4bBKTV+rYJmbkfRGZhf5jc3kWJqHGoz+N8KAGat4gZE6xPw1MxSePe6FW0s7DB23fbXvrW2HHZ0Hl6L33cvHo5eu4hpJDRvXvH1+DDA1wNPv111TA78d4n3m1lyxE0oLQg9bt1n25XsgfLXxZfx+P35Tv/h4sOtvPn767hdvf/lf/vbT4/N/+3/9/vNPvvnFvDXsQaeO0cVZpuTOTMA5gwdzCflvqWXs1mi0YblJ7luCnMQRAq0sNG4oTQKtD3G97UREOLNlZaDkqA+WIIztNvqGpSEYvUiQ58HGXtTA8QuFS1M4mhT3gDA9CuQRn9Hqe5iOLDe0RvY9VAFDKkZzEy50IJOF1jeiNEVgxL083HfWg19MyabRb3IHACjym9nj8RD0W+sFVTDGRWjuUXmc3cUKynEu7hWiEWX0lrwDFNSMg2V/dpoFBZWProkxb4twkJ9g5TvRD1BEqKvdjHhI3CBqLHyf9mTTdwK7lHe8ALYri40n5QgS2d6pFldlg0MyhXxOX7XfLBdWWITFEk85y+UaEH8UlkTfOy0/a7bQglmpb3mmLSC/PlL2mcRFHa3Q69mdvBKn91CKBvRK49Oszsnomy3ruNxzPlJSz86v3WqzElAWyTc5aEf6kj/CjMiYfCJ6XpkaeZcpvQe5lL0ijP3LkGeL9eUajJkkCe6vI10rNiARnnEEokzaSsR8tsoOqJCKQJUyyFAnl4RLD1lJ4gUFl5JvvgGrPpWuYpGLxm0CDDRtXHNwerahoK6rCIOStx2JypJozhfWXsTMnwQXY0Da01TyHStBnl1mY600gwzDw8C3AIVaNZcBWJTn1nbSAip/hwTXAporeXMMkBEky7hx0fSVzQySuZc8lk364WaK7l4zlbEaYU5XnuCK3/IIC+My2bXgtCYrIBofhzmiVwitFnMgMnGOJukFDphzJ4sBRwaFBA7kAI3CJJTDpNofmrWMi/Prsv3yRM9ZSFKloIELJGPPCox88TF1WfXQdeHyp+ev/tHnX/7Fp3f3+w8933PuDA6TR9Pj22j0c+5xP/vZN4aJszaOP1HQjpwq27an3dP2OjOSNZz3Mh6Fz2rg6/THPR/382Oe/fOGIokEPtQcKUYxXkeTHK+/o1F5hvBFybMi2Yy/WQC+vY0610KGcTiA7nG0BpxwJBqKpeIro3/lFtisCZNBzXmU6SaMO4jBi3HjERLbTiQehYQ1wvR45Nmxu31uDEJjBVBDnw4ZL/wpCv6hErVTzvGxF2QeSVDBxMZPAbUcQ8RQ3q/APRs8xdK21HOtfRnrFds9Tngi98ly/vlEjzicUF3LjDM25QbgGxj3s2fc9/jJmfHdM56GxzPBQ8JXdDBzVxCj4DswFO1Cdlto1BW6Zq9UhDsQUHG3DUqNxxlWfM3QiiEkVithRJNVwYy76ClCrqQ0Y4Opk21mJG0+9wJWXj6iR0xfopw8PeY0VdOem2030M2PG/ft97vuJ+Z9kx5sdDdI9GQ45ZAJ2p5Ou8iQ42uFG2clODcvTQmV7b7QYoDkehtr0tyKl4Cqgky5SpUDsECA5qNUHnHPlieMHWJg8xZ8j33fOennQ/eT90eHuhCaJV0AUACuMJHYiPtoPwVwCi9b3mI9tjxhDgZkRsAbw1Jttrsk8UH7vv0EVnbauSlkdMWnlYG4W7Fq+bkrR+NQhNIhYny/oPHrkj69Xd9+vj5/c7191qcHdJ0QLJmqmJfzxBPzYht1RSrrmefdX298efLrzI9f5+s986zn/fzdT99/qZ/+7H/9q1//y3kXOwFLMh5Dmu6LHPK+QarKayzxAtU2bFhbLS/ZK+zAoFm4admCYAPgyinSOCyQfflVFkcxAHrh3J/FvdrJi94qmzxzP9baY2E8cQAGhE0ScIgmcNZomtsGbRp2iZDYyNjAwIYZKe/ledO2rZM4qK4G57gkRcX0/nPdiohl4OgGfBLIsaUIQVTQX4SZB9fqF8j6Vf0Hd4SjqdnY/b3GwQw0YvCGoPKmf4aVEazlVEGz/og0l3ljUUf45KineN6Y3pcEDjxKK9FJQI6sg9xbU4B70XGellD0FjNZCtvnpAo9AuoUkfD0WRcRAS+sz0lc924QbvzxnDuPIDhhIVKRZ/VmB83SD4tAprvwVjlhq8fb7syaCLa2QQ4fIkrc7du7t20yPFnDG497WI85ypIdIaYRT06IqjhHCpGqVztW8dRCpy/J/wmLcVL8YWTKwVaHMLhD9WrIHdaTKu9nH4K3t15RDlaxkFOaPKqwLSAi6dh+IjlHWoErRy/JvxDJ7/YAqwcIOnwLoOI6W7OenKlD3E4ZqUVt5sAoE9giEjoOm4HReTEzTId80OrsskzcyxdAoyKNv7aEj3Y23z1DQtO8GYM5fo4GNk1kWT970UrwLCkem5tX3EI58F2igNLOWMzY1+SgitlmK7egu9ELaligpQYCpuZFaIt/ANz/DLS4XYeIhLszwS9L4mGVesC66yJlKJegmhEp4qFTFNmnJOeMDXFe/aEc2oC7BDbtlcj85QiTdpbhElxbpKHkZAUzp9CSZVgINF2sUlxu3x9b4bp50tCZ1BvF0Y0n+G4XVPXL+ZN/+Xfwiy/941f8JD919zulGhoTS8jzffq2b86MbmZE8iCyk6jq6ArH0C4DvkyoYPnuq2MOFjtRGz22P+776b7n2XgffIxBdr57WCUmsAom2/Cg01JgZsprosmWBksyZ2Y7Qgr3uCdKVaFmZRUIj4SlgGp3JyO2GPoi6f5bhqPoSxea8QZABivqzZW0jU2iPNeHfl6+q4SzB0Pme5XNgXo8KS3JhMm4CM7MYCcPoFbYsSnaFNkjRPLvY9XdwQL10n/fQyIESob1aGf/ZXLGmT1kTD3z4HckfDrxEJa4I5LBuYH1kviQOuNpc/vkaBjnJZenbdzdA9d4uvs5fd/d26aLXAnOgkoYT+PuxNdNJL09EfqGpc+IZnQieMORpTEWx4pyIcjRZiZv5ASPMJjhflwVBDGa2tXIjdlAOhgNiAGmOv0m8o73CkkGAOxhPuq106449vPuMRvdlpvznB7fH/Bz7mce4LZj6dVyV86AY0INkB412UxgbdYQUwODTGwnOQkiWIHwCyiZlGRlyayIYWYOmCHFxa6irkcWkjDqidK1B3cU9eOdrzSFe/qn+/n0/dH3bYBN2argW1rADdg4UdFWsQrBsOI1y6UXeQt/fuqezTnHEX1uKEcJGDzbd8/NBjWIsNlBsRFD+TTjpQGAIWMW4jyBRvds314kUE3maJYfdV0Xvv18ffPGxyc+HmWwlGzD2WRWJ50W00NxeA9CYfo585x+f++P53x8me+/9pfujw/Mh/7qb358/+7LP/3f/uFv/tl3+PTMEelmsS8vaFVABm8GEhoWkMFO88KdAnqmyMqIzxRk51pJ7bk/aJ013pMxEjDMFnTr69GpPNEReC0PtvwsaadM9cXiygX296cPEhmZ1ynZuu0Z2Tz1MZfBUO6f0AlBslJskVgTKfCqoQFFSRk8xkRSoj3O/+61t8ztfp1dM+BYmXXhcdp20aI56LiKuQNGAt755HJ4BaXrqn0d6iaA5kDewcmT/bDRX6u42b6KS0KuUuWUDkgi7kLgaX1fgGn0HLywYhiAhmbV5rlU/Sp4vNUrYDCShS0TEj7SJXBNYFGu0rZKB1sOzjKpML0p5MssTMkDlUObwT76zzntxVbTyJ2w62i/UKjhsEuzK5aRe1tbdA1zzK3Bhl6hFMkzDGFr1yAhWpVVrqXeroFwbaWVIjAFzlAZ1CUhAFKmQcvh1XJZhlzxGcoqvGrmIJob/EEZGM7IizqGk5sN1AViOQZfHZVhZ65zutOxOMqt7lQwHjrOWSZfz4kQlQXxYrKLWMTGXAX+9bJ7CgY9h2ffPY9gX1gQYP+fnz/oNOCOvicDOQ/iuZAeEPohTzeHEYtVK4PAqfWRsCYE73IwWNMcTkAxAC2fBgXM+NYxMeHnPfCkHMpVtUxXII9F77kIJZFBdJNsTWgRuDagk06UwmpsoKsFz9CDzesCfRSCafu0YsAcHZ0aK+QGciIkPtAT/WVhwuHBChE8Q46IVQimZSIiDsnP9wboRboUFh5K0wzG5bzCvG0XEedO5F1cNV5uBq/mbGvJVdcvJYVNUdqmQWIVhMwkTrucoiCaugahq8jswnk8//B/8Mu/+4+/+4ov99fbP5afxgZeUKNufPT47ml0NyLaOTc5zhqoT0HlE/M7SCZzIpGozhq6AdUMnjc/3n038ER39zhKtchjA5xbDHQtSXQ3ZvpG3VnX2DM3EgfEg8R077Db3dgejkAnTgI/z4xLz4vFJpBd7nR5QdjLSyhmnTtcZqIpDZeMTVwOuEjMpQOpreAVdFBSkFBE5qkRQ+3SqqT75Ctv7sQmuFlYv/OYYGUoco7a7Pf8LagUHWRtYSiq9FisBxpo6hH+OxwcUKnEDI1OhS9SiSiTK6/SZVVW0AimO2u89oFHCTkCZMglFaGkIGTdkjSejZ5jYnBPJwQgZrAeA7MsfpQ43EjTJOwBni2KlxvSVkeywoWnMY5/BCDlYolgzUk/Mjac+YywzEqbnRoQNO8UCQJU2cJQATV78eRGP3QaT2WUEMSBPTM3ZvDsaSvsR+KtGtPPMTLF6CJgSy5HzCNgR6Q6Ed9U2HlFH5AmoebMKcjRlpMiBJUSrjkq85rdO1oNt6561FWVsQvIPQT1RkIKzY4U38FRVa2B3fb08+677/DfntbTTVLShQlwgisn7g5VJS0VV9m0VLJEF6tYG14AYgYWFUO7asMpRZb0qAwZKHc/P54Ku9OAi9LJB/TtTlrprkjQQXbKuMgLksXXQRiSdJioHLVEFj5//vT58/Uov12XZF9jFihIsx00aHajJic7anCBc+O+/dO7vz795Xn/7uvzpyc+nuWP+d3333/59us//ld/9Ot/9stntfx48C2EfFmCdEFXsWTJdpFmM1N5dpvCOpD+lmqrz0vNlisUCwtPa5NbdjAwwy2Qxc3iXGgwUqzKDgOG407ZHwaHcQOa20vl5AjrvzBXgIUA6Tv8DyspJkDWqo7Op4BOi8yDV3Mv64ypj1V0sS/WXnHhyshTqzkPcLxmqrQW+V0xj/+s6Di3BEUuPmMwVybWW0Eig8drC2SarAn0RiNHibkCaaYICfKecVc8sPiSCxN8OuFCiy0tR7/6gNRvzKdffDvABGn/PHsqZZdSX+N0YctdeC+4xctf/UrmS9qbhIkYMvaTMMXVWiDyI/JUA+Lv21MKotyAWkldlBfBEfbY2YMkldX2E8JWcIswXctFTPiBbYG4X1Gb9oq1JmgRHZuMhTAjJD3b/swelPt9I1PBttDhPF8fIi3omaDnBXVj48y37Nzh287EQI1w9uQWZMGsXz8jzAgGqHpl38IvO6DXZrv+fHKb4QlpM4ktevFNXotWnX/E82YE3J599bY2yHOlqwhqEyvuyqg2b3Ib+BUDhdfJ3RkXAhH6j+j1dCSlcP22u+YO9hCy+bVgcyBN2tlXJ0juLFLTMbVHJRYPORcWzemyDCJ2HEFjAImYyXNIBbSnF/ftbImMk+a1aftxkNLpMW/2Epw6fW3WaTyfWR5BghuLto0amFVc2kxgCibpTGLNauvSU6dQ6h6iZBdxE7xUfefHMd2NVr2z299E7/RUYk3QjFszNWhS1nAsQvw5ZgAe9Muakuadp6qZCp5zbAPkmY7CUz5lKlxUn2Pomvog6vI11fVH9x/+i7+n7/j1x4/7C57PBgx3PNXu8e1+R3dKGN/dvd7ZjmBduSiQlC+X1J1jesDqeO+SHG/j7mgrB5ib9wxcXD1rHAuEIHThWmLIyOikHkcWo/3Zk36R0EBU96zf19nllnYP1PZnLwg9J+nZgLYhReAOr1ck+5Lbah3b8BnGF0wCmf4BGu444YCfhUA5JecaTgzwEywu+DI3H3Y70+yT2AKRDHasd267loqoHzZK7FUKaGPthZW6O1x1NueaJbN+L+yJaHY+3rnTDw2XnzegB525WQfqMW3ZLUjs+65HZmwQdsRzhorz5LaFWJ6EWOdibPINcYQm366hESu83RxAn/qjoyXW+vEW2AgssYAltpjhLPBlIBnT2qzkgdOjgqjhBCO+tDYs5k2rjRIG90vhbasw6be3vYu967zTnBOz6gIBqHYHDgKsI2a6h+3JYfdxz51lTI5xgb1hN8bcUFybK+5NPMTmu/gSJ2l0USFjWAAKA+EK26U8+lzyrwSME21gWd4GxjEdzNBIpLwGfktRR9gY9wzwRKsryacwg5/52eOPu7/M7ds9hCRxGLNRULQOFbjV6kC14WQhYy/v06XX8VJbNUjonINcRG2MK844sqLZU5OxQ6ZV8f6oGWKdmlnVCcnDFfIwjC5c1GhD2NbiZ7ZQBdifuvrzuOd9KBAdftzipVMvhWVO8hY3waZuIGyDHhbnh5/ue/qXn6s+5off8frj//iP/rM/8cdf/+7/8T3f05tWJgFYmETRAbzkOEOeGU9IYEXIPB360B5HzS2GtN490GH4U+sdtXoKm9yXkYB3phJyE6zHma4mgJc94fAMJK2Ood1W8nKqxfxzjYe1sFyeSD5lbsnxhrsiSQrCi1vP+KP8V4ITS2ursLCswawScenu3NuRtTtaIvM0Rak8cjJ6eROCRou8jD7uJy+8qf0U9FY3uS3zNFK1X9z6J6aBwNXaPL4NsEFo6mM0yC/hikCK9vqu/Mr6ON62l9X04O/oDA/KEI0wJuQW/pMr9hh39zCOSELERDsX6ne/kTb2GT4PcWVGSIUA7rdb7g5pBAdpagzQTV9BWQK7TPrR0TBFtZdwytc/DyCPE+emiZAFODcyD21z+MhNUF7XuVc8jSE2iZ6KwC34Fn6e2Ywlpbg+3O2Q8FIBBUPJw/GqPHI45nN24kxOdbxoeraWHOqKwVE32nMf/7rgfk5QPZ05iPa2yVhXQ3eDnX8bqdDi3adPZRDDxIzOkCigWDQf1CUeInUbnUEADAJcb2qlglpLBoEMZ5vXqIgjulGMNFySX0tS0SsITcfpUw9zi+hd7Yj2b1+01paDcKNBcQO+7PiaXQvMzeoZoysvvoRV4vK1ZQHac3qE2X8eZ/uSUFGcG7DRaQkjEhpEHbJzKsangUbKgXSkk6gwYrUENmQtu596KcOUhJg2/bdHwzmDTj3gGuzSIq8RNR0VkX0uHE1t9A6H7d6VNvZo1wGjN0iVs2qQIHqnJo4zK8UnK5VPDryegC0rM4kyIuerAQlkafErjXAJ/bjVlz6ET89v/qx+80+/e5/G7/r5/uEB7QfEue573NrctUzqATzIkAntDQ6T16VSGunp550AoFZ1JmgYHnfbwMz4drenZzrcmPe9cRoHxw1aWHBjbj8HY7R5I9ZPj9DAgC1ZUHVAntnSTAZROfVSw+fjYi0yl0O9rfFC+5acQ3my0E5hvlEFCJ29XcEeFvtokvbLSGWV+QSHnGME0UYZRe3ourm21JGhCPOw64EAVQFHQSnVKglVco7IDoaxoJJ2QIFD/Ic/YRK6ojGkC7rkZA2ihmVRuCzBtShC7iNxeXkOZzInLZUvW6tq1VUmikExKSLY3kTOhmgPM4iH4FUCnSDIwtScfmwyJAywy76eTz+f/WQj/n7Y5Vicxtro7JIyotUw7YwdNXR0wKwQxDrMQAbMOjOx0vm1kFGf9LhhzRGVgklLk1XZPlAVbLqxTbmSDXZ4jiDmTtH1lG+gZ3NFu333JNWw92VgycyEeXG91sk5KExpz60BwE4XwYiHc3+z9kwouzyyHohWg6UqsiTyosUpieUqlDbrxwQqJgrVuqcW93xyPux78DG4bz8bvtEzd/fHR399+qP9HH583DdcmQBDIJN+txQQD3kCTV2JXGXeWzFyIYCWIt/1i+nsUFyMwdGgIV6XrnXgs3slfnd7sntsaq/qmTtiFd++USsUz1/QJO9OE13vlZ0tm+qqi6xLqosPVr3ttXaKGo7bRE+SnRq3xta0LY087oGm7/d+/3G+fpmfnv3u55f5eKf6/e3373+NP3r+o//ln/zqL375cX24aBYf8GNzHAXCwaK5YjIczCyc6HbiA08p+U06eLaHfAkpZqU2YaZmcbpJpD4G0KzJchZ9jgCeW9SnPgHtE9+2N3/OBq7JL7Skcl77dGGnO0hLSidH/cXOLtZMcwnMoIobgSAuAB6cnHo9f9tWysB5UazLcudm7Fx7ORLSMtCukLeRdK/syciYph3ll5o7wTErrxk2MciPzH1/9OxB0SAlDfpkkHFh7MXCU4y4sUsoX/kU7SD2m2LDmkZLVlRaCa9k2plwmdM4AwS2BhzASmRBGN1VCCU1w9yxOlpnSUqmFVZFNs0F02mgx+dYWDjo1MsCospLu6Cx71SgnpVLg+a+nBBHM35x61ssB4bhVoapOyMCXQYvcLV/znOFCbWZqVKTi0kv1D9rEshlqG1wsRUOXwt7GREWzcpiTQ4IBU5KqN1lCbCAsn7m9JPLxxNguPvcCFwqHUefH1P+3t35ljplXIJSUhC8/B95mfvxM8sBWDYbM5MdGNQ9j7EPb49AD1nS1BCk0oqHG/A2+OkEs3WzMdY2GeAur1/Srgp3mOAcqNkseBXxYd8C5UtrIXD4+Al0Rom1iAOT2hAfF5czyaeefVhQRPnz0rOkG5odMER2p7fc+JLt6rSIyOlQZg5bpyAEKfdW0WQYsf8M4QnX5/ZASY/AuB3f4TYMmWTNl1jMR2uC7CUtCTpJr3QV1mSmxVmyf4PWn0NvKTatUYB7rGOb5dGenphQBTZ71sjkPS92vkC8mMnw4B4xyK9fNUpKrfymTeGnipA0aMu8xb74rf/wX3z+xW/np++/vP8N+0McxCxOgSzP4PYd2N/GDQBurgomW1/ZN3kuaR6TdE1MlJttmGSHZ5nyKOaN9JQ5kHLXsSyadaHGbdBxjOb4XfwgjyxdTRrDY6zg4lQh8aaJkU+6cBR+NKOHS819iviczWn1ysa4YMfrn+2YG4OD0OfndlZO5Cg+h/GSpHcmovMO3OQEkDE5cUo3v4fmytO9M7tDQjr4pbc9HrvbmOFaZ7MHLCl3yDHNZQeg1ne5Exezqunr9BoLKZPa2S8Au883IyG6eEXMmmJ5G96IjiIlrE78FAFzeAVUWsAtNRhp7+Qn2mrcyTsiKy7z7r7bH/fcz8hjAuOQ8MUIm6bgUCZe0TSZojfZvyuD4R4tdVXRyECfPZJyQw5diq5ya0gVVMwM+xSeBEU8CpTpMTt3CG83B+zkdcPr2gAwroS/TU/fHvse3sY9um8/nz334G7aiTSF0RxvcmDuiTxD1uzK0UJlXECHboFlqlkuUaKEquEFamc0FkWl28nh0kifBgu4qvyqrm2W93CP0WLomff7ed/Pewb3NDjNp30P7ttfP+anrx8dGQIBtDUVDxulHAeJolmJb8YW7zbJYcGKOtHiKA9ZsIaPFHxSQcCDfHDEVg3Etu+5WdQJ+2bizeywkSCGaBsLlB/EzkO8cYP8c55uE2JmGM5Q8AXK9bgularEzu6WhE0oNxVp2oQrn5VDjDwf97yjv973x41ufP0J7z/xOX738+vz+g/vf+2//+XP/tPf/OLP3p66WWsdkpVjuyoQBSzeIZNyQB7f51H64pRRtqOKW0WhN5A6ncIKYVJDJ0Mh9JKV9JWV4TgCyCPsmKMDgY3a5BipRMCuAD/rWuVG7qYyCKOmUyiEcfl5wtn+KoWGWQgFS3d70ySS3bMr0mkjTusRdDxVYM7bYDyI7h6BuuW4dXAySbnkOL1lIbey29pg/3kUoiIWueRLjhOQcJ/X6DTmKQCWSAQmUzTO08it7SR3WwtJbyENOyPs7+JyxCtw+bn+3mZJzopWKrGeLRMgZAwC4DVLjI+2W8cKOwq3ui7K3IHxGTRzHWTDbSUVswXXYZ67lXbtj6Nh1glsf61CEZ38qtxaqvQeiC7ACOZ1WIJKP3NW+7lF/TMQDIdbD6+UxB6f/obAz8v6BdsfX4hbi5Jv6bRJrBFOU6QHO0NJe+7BndgFpmpYY+Mcadff/lUvuoO2J6gAxlsYm0C/5uJ0TtdVJTJORDLvwIqza2wbV5ov5U3muF6xsF9SvwULwqRqY3Hg4dG/i1U+Jyg2QNb74Uye22rr4x1zfB4qCdUckwwzUAkHhfcxTCTQyDPpWzBLCpzWdJYdSSwQCY7vybbYIHt6ZS6D7uza6KKmCgPwKkT3HmyAGmhyHNh0R8d4auv0lbDRvYOh0rgN2bn3J0e/sbBpNHBLNce4tsAUT7QVjY2OAYwMuXcgFmSwEyjUldHd5a19eUROOMj+0V/k8FrN+Fr+EL3kJhHl52/wSqeB8Wb9wiQnw7HsjdAbcYaM6l4CGhzmeMqzP+Ci1mtEGBzzHrVl/9Hf/80/+Cd/8uTH/eX7fidGEyRSdQ8+OB8zbWJmoJ4e7OgFA6qD/RDSRfB227k3AiA0XUBZpWwE6U4MV0tPuId3uvRQcloYO028MeDHtOHn5H3DBDR95k37iN0GckiQGc9E4t+2Ng2o0lwar/Rzb7s8Y/dsLFmOoEBkyiltYhUaeAE7ZECsJXJ8NswBmRYNTREdvRLIJF0Cmio7lJt20QBxIaTQ3qwPRAOJBBBkQNjaOtJIhOcANzMeG9a/QlvHjBaGIY592NJNBa4PkpQQhdqPzuRnceglFwKgMWcIC2b7AsNpyaiyioqMN0UYg2ZksqvW+DK5kIJFDScRe/ED3D0fz/v50Xc/J0viUazk0K8Hm1c5a1k2iJrz0CJnSNpt7gKrB+7shgkOnLKGAJpgAVelAVKiEKaYIISVQJYMl6pQ6+BL4kfHj6Bm5yAFBgn4tPv2ffvZfd9G9/Njns/u5+CjPRuHMC456VhRtDYNq6E4kNWkzSsgamTtsjQqBTZl8SrMW6xi4YVsTS6OjKMcDYuEpCjMlXXl6qgFR0mISTmk2XPbbfewZ54zH8Rz+u7n8573j/cvX+8vH32HTKcMXJUGLHskYwa7Kk3iVGzUbqQBLFChpkTNC55ZBdCBbiMjT94pAbFovgmIJbdn3NMp0CIqQ6Ps+1XQpIyZOLBzgPredo+3ABbqUng5Zp3SsoqXNSpfj3ApKCVV2A6iNoBxx2Hk7bS5Dbp410Af7x8f73O/6+uX+fL1y60f/PHth/tH/3ff/gX++X/6l7/8g19nWk9dQmnReqNEXSRxpTu2YXKmHSyamxOamRiLIxqv8+5nlzuw4PSWz0mBQO7eVXPMHqfAJijp3vrgxN1keUIT+YMjgV8mngkwiZrA7vUheObgpvnUXDDO9kSDdOCRFO5cNKwSfoUbBjIgETgaFedCs5jW/WV747jXccScx7LozpkzhB3f2oYGELQ77sTcti9g0gEIU7ViEanUYUqF3cHUl3lnBsR0nv1KlrHtk3log3jLZtDhQbI+BYwpsL347WllXhD/HlRZX3d+7aK/KESqR462tOO6ZZmYrRfAbvuQRUgPt1aKDO3jEqlLkyfD5W9V2OOoKWflJwmRJMazK2E6rJ8RCnVfxzltLfjKzw6INanEd/JKlmF6T5wgG25CTiThTNdCDFSR+wFbXVrkpqgHrZY2EzvfICxXpOmK7BFeJxwwUQA543z2r+UORX5P89R2nMTRh1DZmZsJxuICzsfmMMgkLhh3kmOM6L3CZq04IKHNi2XD7KNmzSwMzc8y9vSy3sITTKqT4YJoXZcfj7oAEBlXk4ZvIgbnsjKBWsUoyjWupEtgZ4iSk1lfOSF8mJ6AceuOrAzXCPLIyqhtbiZv1E+GMZdXSm1lCh4X5Set4bOs2cWSgqscidAeYekMEbW1PBH4hgY0djfPzG2SuCdelFBiuxyWaQdDsMygC+XN1ccFjhpRdU9EM+ZyrYwmINzgEt2dLsKrP6YHqpQkLoucJ5fbyLlnI3pjyD/viUnfkUc2g7isF/q1jBntMOqQRwHOVnU4aUwREEM5+HJubsWfncZEAEkAp8jC1R3ZMD99vr9919/gz+ef/a/+8eO39f3333/9my4/6GdCEwDWcO51dT+zVSczYPcs6KZ03eW5aPVDqifHaOLRaDRGdpviDbDssKKe8X2PkWz5QaJyL9l9RPQe3qss7dRuaT5DLBbwlMrjemgKuzsGaEyeWLYZo0BVu4nc5REhXWtIGo9ZTK59tI2kydsukJgZFjyblSDsGwmWkmMmopfQsQPYCAwa8jltBpclIERMhpsNtAr/sIjcgdPbsw+4k8R4xgMBVIYSrd1IezTuPTk5YeUUEwM6XGshfjAWYNRLW2mHJeqI1/fshYiOz86zB+cVqpueqbowAwz7/BqYlakx8rjisMAZ9BIiHRzXTNdlPXhRU1J31AvzEfo4kiAWCpNrbPK1fBluw4Amkw+HvIQ2XUDHmgEX0DDnhD8Arr4HS3JEj9VyOGsAPUP6Eu8WcAfIYDUv8uJobsxb5rrkijsB6TPabAOjd7iEPt6njY9bQ+OJjsE5Kt14VYCLeHo5zrHh61l3+bFne8WZ7R7tuZF+iT5k7ZrJNERhH3bCamooa25eSrXPy5A2x9JUbmCCfd28Cycs0TMIJlFq843PoW6+w5lUN/d83PzpeT/Nu/H0XS4KHLdKbFVGSAynxmbhntdAyMoYruT5lPwcXLzsNq4kKEuz2VX0zqVLhK8olq5WKQ/lBstTdI9Uchv2xc5wRHkg3gGHpoynXdCc9OY5037ySdSbb5IYXndSpODYHoORbg2SO68bqIJsjqK75wCoeFvi7fDH0427if5A8zGffvfp+c2zH7//9e9+9T/zn+rxb/6PXz7/+7f7en+vL/DbupENGxdxu8ItLzovzGDcYk0DwfY9AUxyNXK5Lw8E2jdeWufc+lxSuyK4rvgxecDRnzNUM6sNe4uqMPGznfoM2G4gKG7NNVcg9pRgS/4BtSJ0Rl9Lajte89B1i2zB9JHQeibTNJmYgK1rcayLBkUfDjCV2VH2ZXIRZ5V/rV7ePr0JyDUjpe5zxA4Hd8YIjzEyYF5X6qZYeoZkrGLc4jO5zaJWvxB5gfJstU9yr6xElSzBvMITV8rHDPfBjKVcKSuD86TdSF8/Ycq5zJPMTG4vH0/uz7wEM/j0lAJBtoLKK7kxtdBignawpi0c7gf54FEoZRl5Qd0xTaGxFIAZFtYmnZXS+94CJqKJK1d0cFpjrYNO5bdcEr0LzTxmR4NboeZPyH1i65ezEBMdaR+v26E5uGXkmSlOo9WaasLlLC6eYBQv4/H6lvu2gh5vGx364LSJRx2S6PxAxrN3tBr39svaH4kOUQdNzJLYm4bbsdeJ5TGmMsIn1q50HUqRkoDLrINJZXrJ3EDJyBky6XQLjiB5+wqZJCEqv20QtesLGZ7AOEFMfMg3+ei2ZsvXOEuBnkzpnJnFDBOuOGbFtZEbx2mvmVEbYSQgcHqfghEG2QcMedExXNnXcjLQ7QaIc1ts6QWabPqaHj1qIpZNK58R1BTQjCYlsN0ShOlOSGxk6/j1pmy+zHlJip3TUuZPuRPPR242i1tSR8i3YQyvZtLKS3sB+1kASCsV1IWHIIjmiCsDSMg5AWf6OUhk4giTFL7aDJ9zuTCTPn88xFwFG6UgJP18f9y/fv69f/br3/7l33nvL/fvvqqnx3OxpmJWcGPu4dCti7xtNvqesxAE+Yb1AMTSIxoa2X2zI/4wCuyPZmPAjuI/efDD4O0zGfOY24jIeNuVLtowKLNxKOuF3MIv07DV2eODLMGgYlhuy4DdquBQMKxLnpkhnnmewXuHKB9h5blaGpl+qDMPpOIuScG+RTQaLoDZBsE4A72AYtXyUFRu2j3fD3O14WIbMrr/w4Q7BlFaFuK1WC460q8oINbApOMJGR2lKA1UeiA5d+Ek7HOQ9jW3OwjNaUaDhmEVsSkar7alWiN0IjjzDWibHRUgVREsuPbEpZPsvumqIaWsKV9duOKsM5zo7HFVdcup1koYx1KzoBYpYdCXdfzsN2NkzZeFe0yh8kjbw5Y1kz/l2RO2Vws59DRsqu4Z4w4wQ4LX5kVxUI9L+DDSn23bRBDopXAnRirfwtfuj5vPhmj3RP5yR48nj2S7DVglDu8TZCB4IA+VKe47hQ5bPlCVrcHcaBKHKPYkWBfQJEsbkyEqLNrihOu5Zjat06WKEurCRd11Ap6RAYg2qcb9cWN6Ph55ru7hx7Pb9NwYiJfZIPvx86ldF23WI9PBKcicAqOeDtCV2/wq2iOrK1GvtXshc7Pjw2HDV3QVAswqbCrboIZ+oycmqwvdnAfcBKTn6AIHTzWHVjuIc1iV9NmuDAs+kjkRz/y0Am4RlCrv2VsyemcvDig3pOno2mhK3hGAqWg93a2Pp0t88skGvvP4wz/d8k+//cu/99O/v/79v/6b/lGf729v3qMBZlqGWjP36IXhJlketfhCshLTYyE8d/Q08gJTQ/9MKTPm3D6nYjQOWIz6HFQpHvjkUX14T7j9dyeben8eZXQqA90FtKtWT76GUcmZDono8HvMqHwcciKYfaD3PnKx1LGZihmqK5deQMZ9IoOOkRHb0uzHpMnSq/hx0v5WkjILeDS3wraBXVBLdAQLSQ34YC01HQh+3QlYCDOQ0ILjexACFXp4+7aA6kvFpKZJlxBdCgGKDeDaZYjVdO8htJzHWroDBhuvd1YBJGMa3/YmzyN/noJXoQTHQOxZBIuYU6vmlTi5G0GajQUWF1m4wYI4nRqb62d2MJiMyjyEyenjkPLLij/gShV0LkzsnfB6ngQ0bh4pSQGdxBSCmGER4xkuRTC5C4LDzymV4r4jmQGumbjmRErm/kSUPDvzQqEeNuGFgJusic4YGlijJJoLOC5Mro7R24BuvRqOakvdzqoMfmU5E54RDUsOnL3V7QmsY+RlbkuApWSERAOmp6lBM8zYvdnO8Q3nC458/S3OJKWEiD1981vWFJT06/AY2xsva4eM7XMYt1Af5UjkUvYi8wPzQfa7O1qTiu6FDdSKkVPKLpE3i+w7M/6C5OUFyGydMmGSi5eePk1WSKAplWeWZuA2/RcRed46nw/avn8iRxAGE0FqqvKI/QKyHtZteim8U5kc8du2/tkWybcEltKJ3HSRjEFHaH+ntN/w/kPjLJ2w3SXNjAI+J80SiVks6cAmS3lTYJlEBmSiy+ZnRR4VKttZIGHDSBAVJbRZnIuFxhOqb//epz/9n/9d/8H9+//+y/wgPt+e/QzMsSXkAKweT/f4HuMZs2vOzxTDl/fCyxda+AEYu8HG3eGa4BmO+u6+IxgnQHeDuuGMU5iToBQkqo3q1bXkZ2eZhROi0FM5HAyLl9vD5kyLdSPNN+TaypUI2bJIRKNMa25WTWdUGT0TEWvDNR0+OL5bg+htUwAcdIBLFAiXokgJ7gy7tprpCjcYY9w+qMwMy6Ky9WL1HVDWAGmPdIVFgqPhGC/WxRW1GYtglrChx4LntoU1HG2MGTGmGJO7qSJ6r/X1YdBJMWAWGHBph/NpRbPjS2dkdbm69lrK3g9ZxTGLc4OaFN8bJVRYrzMHvPp511aFBgrGveyWpzPW0mnLZwbJcQotGxom+aLEzsvl1BF32hpFrVuGA0fmvvO0RoHlJ4o3CNPIKNKz0Wld0WaIFekJhgOUb4b8aCNmLRlt6Cl8+ej3D/fgxl24TtBDAmay7xMshCMT5XZwcc1Ck+RDli7uyFBN8oBwjl4SVeEX0wPC4/pZPlcDXJvxvwhY/mxONk2DosrTGNziZa/7PBISYm73zFe6Os2k3Ug3vPQml+rSTlLueH73idT2ZM4XLyrTwBlRRIh2MDzqaorHO98xZHSNpRKGevCoJ4myJtPeF3SEImYC5lb8jMIkhW82TZa4Gr6yVX1zMmrdBvAwmk7GqqCpkqVmYmkwhcuckExYm+I9LE6D19xIOTE+MJk2TLPu4fCj6PQY9cSnwq3fvz/5i9/9vf/81/Psf/df/TX67So9+WFDzwKm8RSr8UpojxrWQHnaCFHEJTBBmpOwGQNqZySGE+efg9WuJe1X3hZ+erXFKGpmdV1HOBLi0oASuZ0XE4RpZgwWqPIeVTv8dd/pJOeGQjl6iTqnJMA47xdrS2G4lfIkOicwT8pxBkk8Vy9Iov1KCj2oPLdXazuOWXi7ZIQbXp9vmo/zoVMSRT+3NVgZNhqDXW9DXivaPn9sloln2p30G6MjhfBeYAgYmrT+fNy9Xp7TibvJSwG4uXJqxm6SHs63IFGd2ZWhUlIbnphQz89Z6GDoSeUa80tIunkH1ejgEREYyG6apZhZ0o8NwVDxu04UZUYA8MwlzFj6VEk5cHNfHGGVxcQ5TSr9HVk2yVHBespmNntxgZha+D4QcXwci/kHy1vUnUWACRaIOwOAuWapnzvVVTpNA8ZAWB1krqugtOnUIjIL7CWJyhPqeIkwGQ+WyjV2M3vBxqjCsvQ1gRljxuTq3+AdRTeLHy2Ul+WimKcjFziNE2Fp9Vdc37C0BJwBo1TYqI/kH6dRT1txek9KdYDj41YxwY2YA/da6izDoC5OQnf0Q2PPAHMvcrMHRqYIZ6CjD/sMeDyD2UbVO+6BiFI9mDWWAohxPvt1YzMZCzIOLisDU3EVm8TOwvEghf2LsfFBCVIeLXCZDRjWIWxMxFrDAELpHem9rQ5ostO88IIWbKJzledxJJEcmCZS+gPAYdCyHXvC3pzogcM5pO/fT7cCoRy1ZEZSiUn4RCgxZyTEAthZ7/tZFhJNoS/HDRIgJf1dgmBdZmJi5IvXiB+FX3390//JH//2z7/74aff8acf6yvcFakAE7vSa8AJtpJoI2Y0VgIaCXOUEaSG53nffRu33Xes25lOmfc09lENdnOw1wIvFWEOM43BqnVbLAhNz2yQ2oGKQKcFo9RAovUDgR0HzQ2ToyFzPigPTunUZvKLtEOvugdCWmESSWZ6sdblmZlOzFPR3GV+0DET0ArY6CACOZgI5mdpF3y2t11Juj/71It5erYAc3AtMGOCoFzpQdhI7nvnaR8QagKwrSu28Fsace0EFa9ymF1MDaOJW+o6EyGWk9+fnsCinOvC5jgb0IWVeSZF5z7n1R4HVB2vXsl4kKuzlRQ6L1aHhN6ts2OKHbO1J1lRWr2gmXNN4CQiPKfcTGdKAc9og9S/Jw9itP6dZjopT0JhMqo2f7DSr9tPvCyyVQDpElHzeGMV5Ps1cqGR4K+NThhGAqgZd+Prx31P78HZxkB34IFAd0P2Ul3k5uQUkh1lYtQ5BjP/TBTLoIBsNKDAAsSZoSzhEnNlsWCLZnwCpcpHvmhVAvV5FesCLpGWpkSRUiWih9whAua0E4SCe3D33O1xazhQIE7K1+NRlKSHkmtVAFTXlUMBC9/ZmbQSv7aYATScnBxavGOOV2o2J2ALnBs7jAzuxbMbUZ5gp7IrVg8nLYQwW8HpadQEUGhgbjiy7Fac9CjGOw0EFoz+LyUk4QvrarlcskTH5cyLzkE85GRB04AeaXEFcjR3z/jjY75+8d/ceH/v968fH0/d7/3jj3/zfPvyD//Hf/irP/+leXv6Ko45m9LwMAM8miAZ6hic3vg9wAh1BcTpYuRjx4u63VXA7wHJCndgRSOfsjvzPlLM5kK9D5K5wtJVBsrgoscLBZykuiGPrzqnB3N05oEwlrRtRMETW4SJrYdZsiARDfZmNKR6npzZ0lqQnFYxrCG8evqxnJFWIIhau2lU3VtWpAghT4hPajnz/0/VvzTbll7XgdgYY3773MwEQIIvPUiJlIpVIcqSLJVsK+yKcLgcjrCr41/tlluOcMfuVFRDUqkkkgAIIPOec/aac7gx5toJswEmkPees/da32PO8Zo/pnjd+HSSuACZxSt4yqDD362OaiNMglunI7r2qxLhHfIBaUNySue9/zPKtPaAy/cOKDW5H/fqyANQkfRGkd0sSGCRVK0TFNq4izDv+RSlw8AjrNwmLBa8yrYwoqWFo2fD5+9YkjRHs4BFbWuIlI2a1Kkr85htqfyC+Psl6kdY6hWCcAvNDbuLmdurPG3EMbHdvWEfaJnk/bortzLC8SyThRls7RlhkV4yIknyTOd3NAAtXAu8EI0XzWLD05OYB9y4IzJkcusWL51/3+cZYiiPm5GyubmVtQGEeF38Bps9AZCcxNrxbqu4i4rgDjnkzX5NYLwCSZVwt8XA2Pb0FqvRSK8Cxhstyx/ha3DTUtIWADC7jNk+GFvNeouvu/vmXd6ux3dHD2eNh9e66U9HT5Aoq/1bDFiaxt5lAOnXtFHIgR007jgO0n/bMnhiWknQaS1qGpZMyUX2mqB8v5M4hJoz1qw+JtzZfqV0ITnDrp6ZlbcB22GEictTss9CCSmu08tvY4EsTdgbRL0vexXVCENmJk8h63cPo0x6XoVgNgzhW/EUwo4xCucBEffjXB5wG5fIolmIICij+kqloU0/RIuHO2BBn1X/q+uf/Ls/l/DDr364vp+Z6mtmLcSRsiR7UI7AK3wDsRAhKQiQdxzbFlDecJDpoXvcQDta8W5M0+2ZWjjl1nJWjahSFKPeuV+Ir3LTerb5OTc8dUhb9VCtODJgKCzC2tHHVCUxklAc9uRRpr1Ehynu/RqiJ9B0CP8Ynbuv5FrkqO1RR/3iuQOOcmzbNfesIJjcLCMbpVvZFdBdvPvEnOXRtiTNBJ3bcaQwgMydnRUrZ4fnbMSGo3n7VmTuFfCMQBNIsEjImLF69cGBySfnXyiixJPmpJCNoQboSUKO5dLtVPeVQN+8h4wrj2SHoqFw/IChhholE1T5MUsUsHx34sF/Br7QK4/N6b4in8Ayo9rhnpkeX7wBNa7HmqGKsilWOU2+2BJmqZrFuyodDKZxUZgELRHo/GSp9MDjIdacYp2EpC7S7YaTDZwOxZ5uC+/P57PdO6D6McCgoqOlC/QpwLHHDksUlJDgbSIAUUUwXdbeT1TiZQ05nTc5p6gSMmf3dmjvgDOOjlLBBM3GkMUSSyjwSDy5ZIaFo+FjJEmAXMyEzSgvp6e3JeG57GsmiVOkyVEKtE2GMTXC5GulTxNYRbKDnQs4dR5HVZXcYgt3AhHznyXeeLMnpf9c0+sgb7hbLaNR6TEdN3jwa8B2AWMOZA2OiU45EysEO47XZGwU+SAeeSQ5SYoocIxhHbu6Ai1ozpY4AAWfveXdHBvH6IZ6CtdaPC/PXL6ueX7018vfP+f987qeeJ/nbz9++fjH/Wf/hz/+9p9+W486eLzpTecD1avooF05Kta7l0PsVVxv3TdQrH4bHxbo7S44vWReBxkJEz05FSxxM6hghO62zETwbpFpxB+wp1mwiXRrr2J1P++K7Vffso06vJHiWBlWul/ELPVjS5CgZNAoZuWgli67UVr4nh7BrdbgNDNb3OL21e9tv+8pxU4JN66yeOXS7tloqdx9m3RbGBdvQ/PcRCJJuoIjrxiHEQilCUk5kPkzATTiSXAFHY+ogysTzQNMCdwOLZtmsvbR5HzsJdYnsYs2yN5Ns/KjUBLA1k23+gs3cGjdVJ5HihFycZAfHwd9Xwyb/bB42y1X+PHpkckcuMtWFO74jv3TEANt0J1UHWdmiTJqLmNakTsD+4IHwVN7JjS4jf0lDCdCpnqsJYScdVzak30X02oqAtouQ2QTbEanu4yS9z045er8qEUWk3pqmkXbh2TMmzkmaG8npf1bqZm1v8/pKbCpTaAD15KvalqzXRSxQTqpY+LLSpke+X5yrLGlJV2slJggc/Lv1xThDY/jCqXXPBN9YpzLwbIDIUcDxUSOr7QeEQmYnHGGYkUburV65jRwt/A2iXfDIk+FDLlbqASlBGdK7Qzoulv4SLO3QcnCi6zx5nMSMREWfhtah/pz+3ZtsmI/WE2SE7FtRnvcIVE1mTsUamzshgmVKLeNDbYVJv0KtkrFpm/STIe3Z064hHFfN+8XOgmbhRZbXEghO7ah5LxwI1+248rmCduzDcbWdvcMjYXEuUtDQe6AKay5MC5NCaPKDnNeYocjySCvz37/5ptv//z/+rOf/X3+5hdf57flJz8+P/vjqVGq1jG7xQGvay6chCA0hIpWFwQwgg+lRC3MdLDOHgx9EbxP7zFbc2Gevq4ZRO8OMj5fp7YdGsxEINz69yJRgZ7CV+XZL2S37IykVahWXFRuYpTwk6V4gIaousNvSGekQeilNFpaPfmw1tlLnoTzCTksRdApF9mgJLBU8g0d5ojMGwMFHayNPf4Xk1OomBVvT/G2cwCWMwoBukxUxBUwxrpxPJoFZDRSRHxh7RgfGqEK6kMhcxXjGuXypK/TMpJLIpdrPgq0K12Q5d6zNZR1Frf1gGmNhTUlEhhbGQV9xxXBmJ2Bpk6kRQIJVqBowylI8gtm44I6/uhg0iMv97LDysdUyUZrQoGT1Vw3dJomFuFKfNK+8kCDxIZl5m7oeHpGRYZnKIOj0oOS4MMRVnVs8BEpFhP3llZ3pMu82u7AK3NHXXjiEKUhXEk6EKoEhfLwIQXWY9sa3MdkrnbUnukRY5q91C1tD8vjnnKpuIk/KPIhFMFyynrV3ENaV0leEEp6pAMJo7GoCJNYBWigAJDOXONBRXEbi8xK/I1EP1aVj6pYPKlLeOQjAnhUSaiSaulVwSXdiUAgz3iCdmbaqHPUaT4nLISvz+6xmpFkZb2V7QEKtUynSjtV0PREO9sxbplXc0aj4aBul1jakFo7dZopmjy1JlhCpyUSNfKAqDgXTd31qw1cho5ZGCVuBMbU1dA1vj6fX+fjg8+vc31e1zu/fsXffvziy58//8H/5qff/GHhwsPgKRKC3qqUdLcAGcs25WHBuAfFrstvqc0OZ+yFoRY0T+mUM1vmC2WMMiZLjTEE0riRUl80nKvQd22Y/Y8b+IKRmITZOSbsgGYTEZC3+F5JzAjmavezR+lVRYA39JCXhwV57YVbtsonEV1XoPAXjr64WODNkMspfeIZhYwO+LtV+CiMF6616ZS2d0oIZD7PZBKlRo401RNALNa86EIqAGCseNyTLKEZohYYnDsLMqahnmUIcmMIjfqx4rdjJlZojh3mF/REBdSt7snqy4UsCH3Xdc5X2CYOuDF3b5I4VpI+vpMsuITairDTrwXJXq3xpv9ESmFA0D2JbxHZpSRGheh9Nk1ea99YTxuCEWMLKdzl/1ai5tzxKysYyU9O0Z4CPLXxRiriRzwKq6hKaCS2WaRu2wmgTEMYh2/ZZNz7UWbVRd5yg+F3ZTwem1MMFRrwa1IiY9mSFCZ3S5aHEr0q74S5VHoZ2zOVJmzL3RvQ1S7pxDmLAg9vckmCjVEDOT6zzbfqCAsf07czzwp34xA9SB7fbHfl9d/x7lr2caRAX7ejZqzmwuzZ1psZEdddflAAhCV45vYb7yFlsBPrkV/cXUPHDwc3OomMqeB3IWQSh421sJAsEC7g1h1EEWTBt5kuv2GQhoC2qYkcGLRZdtJEGDaGXNN0CgOHkKqMpkaawj2Q0vHfK0XmtJFDLy0q4xjduj6toTihHrctSDMX1nrrqiyPuJ7AG9bcSMp5neO/IwjCMgm9gHiWhsUIXsZpr0n29hGsKpTg663/4n//9/7xv/rj3/Rvv//+oz/4bHmuwlXgCDMRc3s4szMLdkCRxKkCVaAk7RuCL+Mye64LHLA5NK/A/+XpmaejJ7NtxYJvm4zrUdjuxoQSCAdkW9EReyFxPqmHkFI6nAg7FlwujyMKrLPQNQuDqXMUwXHeYn5kwdiWgMyhEZnrgB70q/NIWt3AN/bubUNsejTuae66HWhUQ+bZ3akyK60do7LlovHLaoqEsyp3R9iOnJNNRVyE+6NQUGPGOV/j/idpiysnz6Udjw8yZDNF/sA9Xqg8IE2A3jvOCk7Cfc6uYMBB4AIV0oDagFvKWLggwWnotPfAGpujtAs4Yyh2UJeWDY0cEQwnyy0KvLEP0Vq5B5WE7C0hisZhlFQEcAhdFCsoeF5e2nTCfYU22MIyqZQ055lLFhxpeJSGK62yABb8GDH6wLvvEg2UVwCcsJEwMm5/dhy0IBJRCQA1cUS3MkpXSfK1aJ5NpF1BhTdENbGDJdYjRc2oRElFbiQM2UEVqqQTq3RZHEn1sB4s+aCELpmk6Mw6yIFSMjXhksVJfsDrBQJQudYiN3PwYITuDsl0ig+K8kM6h3pUCQ9VEaopWfJR8oldh0U/SgeGwL4n0MEoltKrtnQbUpRjeWeome5E7NvTbE5jQFemQoBHTqaGPURfc0GRe9nxeEirHjMuoNFkqDZDrIIKR1V37S9ubFIsZUhjQYqsSBTRmgHdSwKiPSTU0xlRIU6IvLGpT+PzwnPmevq9n7994v2jnp/1w/v7+zdf//C/+fLH//xn3/4R/LD40MHjIEJLLyoBu9b/zZeLJujjjZFDtVipIkXuwAp3aZZGOWKLRDXfcGn+0/nu8WXYYFWisx3LxtwHH3pPoh2tHNIanVkhOTIWcFaUb41F0yKfXMjvprTv4ST5ZsTWdvgxV/1GfHIzOhIGTIZ8RxXOVE35wvucVtr1GhUT6LL252KzUm5BLjuNinyL7EEOLty32QqbgA17o71jYiYBLyngrBnMBE/mKzTEyT/Kk4l4oSeCtTVDpsYFMvkqINP6HnFr65dImcYsFJbrw3eDIMdhnXowl+mmNTjAb+pWXHbnV8Z+n9M+F2N062kfNnc+qhQvPO/FfuFIZoxVK+gl8wlbWnnZQf214pEB4M1+S/F+9xX2RGTsu43iJo5HKYS8xLlpuIRcM3/7vp1y7nrLJd8cFhwYN5xAwtgQXPYlzsGWp5pbbZjiNHoXNtA0nyMrjsVhfNbbwgSlq1y/sUWLnQVBJiEKiUxOVWzOttLJHHs5r6Pvrp2xASch5wSkmuSvx/qUhwgQ7gQmXh2aM31aFPkLsxiDmcsIa5+deBettx53tgG3mLRZbwGfO93T2+J4TWz20BtD3ltdwZ6JRD7Tq2O/0QZ73RXRdnf7C3mTW2ywPZhcj/GPGkyzwZkYnNsZ5re9++LBux7oHtBSVex+TD0yveCJ43paecRsYpCZz9CwX8KwkP3JKcHekEleZvwxd4+QSAA5ykDeEMiSUkxXmfzb8NUZ1jLARMUPA+tbg8vp4g1Ks8vDs0pz3JkLWI11SP0FdwW6Bi4dAPZTXfp4e/fnn/yrL3/5f/9jzOOXf/u37+8f19P8qOdTPWf64vZjwqi7pyfK4xoU6PDM2pM2XY+eQxtNDqLQEVBXziR4pkdGeaZnisVU/4wvTERYGbw8NZhrd8BuzvxpGCdnTpZfpf7aatYzTY1LUOmBypUtWcuEMZWOZyFUVhGnfgRACe1gJb7mrngwVvtmZYCVgCbeMjfVYM7N2wThDFE7IW5F0M1ZPd5cQIeZ4MQ1NDMX5RklzswRI44F9T1gRdqi5lIUrko27lrQArpMZNDZ7gPDTXQ3cScRLboV55JJ6R4uQcc9n1oqzU+uJgiyzywJFiXJtEFmMPKYcA9axutIX+QlOrh05svRJUo3G6Zzw6eRLQeHyjsaCShNRGFY7qIJ8nJmpceJiNvtQPNEBRMaoKGdixGW1ljVVz3EKpRUhdUZL/qLAzxYpx51Hg+cEnuR2eagM6Qx8Olgu/dbZiuMeZUKN9oibosbyFWlPEDV7lXyBJAtE3jQUPI1CfAQVXe4D8DaGu8lEgpHSoLxz6QSRkfMDxVF1dTREfKNHwDkh6wHB8ARhVJVYccSHSePeUBQak276YKkPg+woAdURuFRFOdNOgd1qkoAzzmCxFHxIOpESzgAautBDU/DtGJXBFyzX0iwq7dDCVOLHl/dM0BjGh4e8UG+5SqZOYSkUyuTKVLBrQbkdZItFtscIBfMGQ5RJeE8dKpwr3+QjQru7xDcIWTy1rTgP0MJyvSsmCTkRIQNojERCNV1cd7782OuH/r6/ur3uT75w9ff/PAH15/8r3/y7V9+U98Q9qFcjUMJD51sTRGMNodxkrhI1arQBJo9AfRtu7EBOKFzPNMp4H6UXHG7+tw/e8UZlZQsTuL9UsDFDMUXEIPZuKEAEjdbm8ZAwbWiI0kMQ/4SOUiVbW/CZOq1XMaBV2bvr23X+1UcbCcze+QCzESGhb6CUS+QlrJ6RZu51AMGagPyAbC3ANzJSwspcYnMVLr5wycEa6BFgncc+BIX8Vb5/tg3grz8BVczE7xxT2YOQdWd9J1Fg/tzcGnONAu8MVMzAEFFMZEKyjkNaiFeo1KE2NwMlU0sobJ4kY9TUb5McMd7QkJmECwmAzpL91ZxgOC+wZ00gtXWrH0r2pMXVuX8YdOOEZ05uSxW+Fzto9pxSMBEaEYjMxKvLUej6giANtha/F6fO8In12+q/3WjpWHJs9zXkJIsPAPgXrR+o4DzGl3yDRXCJKPxk71hyd2+OkJQANe4r+gAafBKFefuoTO92ZQuIL1zTvMlphIYctNmkeAEMSeQ3IQkdt9kXbwercc2zZSS/0mElXLM5cFY08w7D9gLkGdxEeAQjf1S10uEQEQ/59mIkwVPAhTmF43C5RkZEmW2nfCkoVfKURUcg4iBT7aZbEpVWZwqlsHMYInUKILGMcDexM2wAZzkiHGU3nIQDjZJD5ukkVKfVbSJAWIpwytzIwspU5WFMTsdeKxSOAgOZ3JnPeLmkVZLdfNduAx7eryOsyhxVvqX3gp5wiG8ImPL/1EygsWmXdA1zSwNcCvie2Fw9sNFOwZl+0IYbW6sK60CZ1aHSKjjeZ/zePLB8dfr8/H7j3/y3/1Xn3/5q+s/fP/5q4/Pdz6/+uN62p+XnlgGEieaDdWRzXGxj59nkMIiOfMYgPXRx0bPUc5mwjUmE+M+CMIz9rTLmngCfFehJLkCnjI8dyYmeAyzhO0syZHWVGJjeGYopDY3H1QVpQLPoapGL9c/oOLRpJiXcO1BPjiR9bA4FDkLCISO3ZYUDIpquEUDF7Rt2uuITlIjKhuP3FA3jIhu5wbHrUlHZo7DSA+IEk/aIqFuamG7G4HmAXM5HhCcjEP2RA95tkmy6e1gA9kpd/YQHo/GIbfzEUaO6yzYYB5sNELc4CpsgU9oGhgqUEZjOl8xCYWNHUfHExtMtibnNs7IY8W+46KlRG0kQDl75K40Eu9JKJ7x4CKJ81h1LDO1Nck3eQk8iL23EhFEiD6JXvDrxLJBPqZ10RePa+ob6gvrC+sNdTiPxjmjqS/45vTbrcFw+ZMEp1A8arKtBGkzZs0oJOUjHonzyPkKXjiDcuYx+21OGQd2EdQ9rHWPOYCledya5sBTuU0Pbv4QEOYQ5xOyPCwXEeG4wxPUOTrSqS+qE13xKZKUWFXUoSrV6VSFyFbgDKJZaZwfkRVehDUsojyHqgdYVXscHR6SD6niTigUcR4EjZAOrHDODfPUDSURmJaHIymgG0i4WMvTQY7xbYZXqpiZz/Hn1c/uAQ9ZmiH5zflSoKA5GxfW8sVpcFx7qSYRMW17ExRQ8kMjYixXo+atHm9VAlQ0yEP2pNSQvMyYTLGPt05ilI6h8tbJPOOqLQSTvtPEdH+azw//cPX3/fzh/Xn9wPntNx9fv77/vY/f+xffffOnb1/47WO+fX6Zx6CYfBfRQ/ajTFDFk+4+CILS0Icbr5X7rA12tHiR5Eoy9WBl5LNDF3ojbMjOyA93lAM2Nz2R0cku/n/Xdhq788c2kc+B6oeZnbP1WsJojBqn+eOqJSGjcuIQJKYIdwW03T7RJzUJh/E+hROncbczv/OZIstDpjjJ0QLdnt6FJYk1r4UPMHgtg798Rs5dgHYROW09FrXi7gWCdOeeEPZF5QybJS9CZO7Bl1Yky9t020N5eiGjlJyiV2nim54+s2FAg+0w70M65aKslV7ccMqiEfn3mzGR72QSB73na65gYSPSHPg/iwpM72/y5t4Nuzo3HJXCaEtr7Y+P/mBX4m3rdfLbOSAPEMWAtSMDyEiWufhJ1GXGwIX709cWP+kAlaSlQCmYaaxXZ4t6cF4BYalj9xUNbiGBluuYWBb3JQ7ueSvJVsY9qiE+9BD/cRWbGf+R+3vDVHH/h1MDIv1X/msY8Ujxhpl7FbINmg7ngswbWyAciROm0AlAbdy5tePZmlCAZ2y6JHZKypu25EAHiSPVFvVEYjLv9ME0ddoBXsHnOC+VHNNPpI7A6vYoMLNdYUeiQDYivsn/tJtvSLaFpjO9s1divSbGWStmYu9m8QJHicB7zeKClTTNs9ArAaORQdqCPTsgAbeRGLTxNI6SK52RMvkH6zU8e69ZcHLRpoRq57jRhdaeQuHPHEXdhFlx3I4u5sSBnbA3mkpqQDDsrOfLKqUeuZnE7edosfZ57HCFkAjLKHpBlZxZsTI5xZ9WBhiqeJufoMsNaUj5Wc8z9fD52nP94de/+r/8oz/5l7//13/97z9/4c9P+aOng3gM+daVIwWjC13hzHwTI2w9yOtB2tOIkH8qg8xI4iFisgqXgpvLGKLtp+29jLjAaTDaDKDLdARvmQYwcbcbsAFpoeHlgl/f2FNSJHwCppLNjI28YmChktslioKMC0e7rNePYFAVIz/MisBjqs7c+EfPzoGYDZCPVozIbCZPEwI7xWvd9bjY9on9ZhYHSuOz8ZfI67X39YWttmmMJycCC+g00h6zRG6pHwguyclhOUav2UC7+FIxk+AoWVuzx+/a55QTspRgh7Fi2kspkaMWT5XYNlUzI/CqFhLuDJFtKwn8uguElV8AmbqpJtdspKQPJbwVNKCCLMhXLD285TnbXK32bWGJNNa0TsD9ArpDoCUNyJMkpxs7DWClIcRLCW4/dlKDD3ngyyDQD9P0OcI5D9KJ7pX8IqvGUNrYDRYYl/pJ01ekUOxitVWrL8+8jqh8soRXXZqC7gSO0cU7i6dOvn8CPmKvNUpKxOWmXxPUJEmgAFQ24UM+ByAeRIszxAMA2ToFf46DvVljVJHFHldhqmaQuaQYXQ+NfC72TWE9sn9qDloBE1WCKyUVc5VZBaBMXzSJnkuHHhwr0+OHqrkuHmGGi30KNTC1BYllZoav0RwK7fHzoh+qL3XJvh5f8O15qHAE4PT0hxPoPOa1rJ9pWcR0It8HkJo8I5J1MENy5BJ6aooPHr1fdY2AaeKQk/l2PDXxY2IjmCm4l2WX0YcrVQG5LLVgKNgYp2x0iU9/tR/FY9an/H6d775+++c//YNf/bw/f/vxn96/w3l+MZ86mB4encmJC3LYyVQKQy2v6JY2u2JhcXuVBJ475CUhqrNXaAoKgsrNjTELGsTPcXGK+cnaapuZtUV3Ru8MBcwm8GG7Wa727y4c06ZbBivDLwKo7v1eYL/YFpcyL4o5opIlGDfWrgpybwEmMzl0geEkbTSWwWI8hxmVsiXxaJSQQTOSnRw++/NhNlY+NajwlPuDAwZhJSGJNb7DZnj/ePOkghmRuDjl1Cekb7SIC+zNUFXuKfCKWEjW9mKgMtJlaqtQKvw1En1qUIM5Rrukl4B75c5yQsiDcJJSj4W8nsiLbqozp+zkjW1dhD3258d8oQEqvvrIjqpusYXXLjRJ1uGtx+ImR02yNYC82GhHAnKykAYhmsm9+VZIlY7Qg9bi0bU0AcY7qHn/jSNjzUuY5Zs3LiOn5Ipk7PBcnjuPO2B2rmEFeMaOhDVTs0X7s42yYy1Jheb9oEv4peqhi1wBEGs2/g9b7+VP3j0Zucx3GLD02gtvIiSaDZTjS95mhBJ7yJm8UdH2rI3aL0+979dZYgKCMtzALKPT+/bSBhdY+WTpgicDPjKjydsxLak52PPmZejNeTJrxWfMMMFmLW70ffRDYBKZbYNn6w3frBnuauAWuCxQkL2njCLAykSPcQW1N7IaXwkOm9jCDbCaTSi7ezqTa37OCkjjm4cJEhHfDSeRCvEkXPtBQC++bku4tHqnPBHYngKfVhEXMb2F4GTMl2hSE046tQU4Mzvvmw1WzqhuFLHquaD8yZwbOw0DxLFrWxyAu/rJzSsBpSO0+vTp97p++tt/9H/67i/++z/42r98/y9zvT8/nsMus0cR5batbou8+hF6rdOvzdAQOyeHwtE3bNeWlSKNKQRJdBhpwLgGPe6+0W3D2APW5MSiujGwu6ex1lTmXsWu7bzB1axOPI8UCqgiOW4unBCrCHE/JrEyA2qVlTuAbIpqGj2K0AKebg4gUe5pmfAxB5he2DyXSIBLijW+CpV4wToA2eiNrYOA7nzmbSCzwhP7hYBOK8NfLUkn0O4VdR533iD2r5vDQmG/L7jUv1T5pABGKveuM4Ly5On17LUIFvw0lCxoaczae3YN73TvmHqXg++h4UMmkQXdLHGTNba3HcQ7kbRGOgk0wey3R8rynCFrZiea1Yrvma4OmObRMINXE9veusGnqmAyqxzRqCrnliojlJjpbDlZNl4q1mZgEDNAkpLCnBxoWJiekXwexYIerCKoMlvXhvXMyleVu3MfH/1sIVGRZl2PzHB2Op1ETK1KmYjuNsjuGCwSJ7qUGx7d65OnslwBYTr0ceYlFtuVVpB5Df5yyPKjCE4MSEnUsc2yCD4QJXYDD1lAK9lEe7uPTlbAoT9tPEICLGt7ZBQ0R5sO4mi84MQ284FcZheveoiNDQeCMM8ODMhmoXraotvpsqLN5TQmg+w5DHYOAmpOjXk+LlzfP69v+tuHfvMbfNH52U/PgVF4iJ8C22jIx5yG0JekbocDyzzbUuGl26hUC7ImkwALejvneS58XLtxoWNfq1LwSlwyFT2Sh+C7HMeeGjyQooWZxhQodGvEGujTzxq8f1wU8PCXKhX15eNnf/WF15e//nr5bw/m65PctISDueRr0t8W1BltuW7nkR/MZTASMFU5dRATxo4U1cBiwUgEJ66skVkYoe/v1SOo3WmzgRvdzN9kZjlshn5STRzOPpYaOpGFXhRvpkWNaA+tpUqITiGWmT2lPNGc93G9B8AJ9yIOjYuxlRqoUG7BvIwOZzxFJsQxPy/4dYTDy8APQ5gHBkTQVS9jT2AiBXRFS5Ebn8XhXUF06lqYrOEw4VPXAmVyQEksoj5GKWaQPVnv9OnMU8znTxEdpmJ9tbzrGw3+/0kW72idzYqJYiTVP6IFWgvyrRu+Xx+D52XuxiwWMS5hpVW5oCbFMYS5lgOJgjHCiFm7HnCD19jAhjVl5kZICmLIDx7Ao03Vh9HqSpFKvNhukWMJnQUbT0Q+QEq2RdoZUsnhWgIhBLicjWbEa9nupMnAYmwvkXEv6u0/VyIubVipk59r+56n0QZHkw7qlobYYjIweJf0BtBa7yXTbErqML1iezKXfFvCxQjIcaY57C/EHRqVLQ6SRfTcSGKqfe8mI9ONaoiJPsTeiXOZC0Nz4AM31DYaUOb54TZu3L1DrvO8uSRrAbgHidiTsWYAsD1ffCez+Kx3OQejdZkZfRbDY2TbueSGKUdupj74PyI4Iw99ejrVWBZlB5OML3bLdYDr111eIyRjiiHV/g+wGj7yDHDS4Ia3GowsZT5z2M77oOCEBYm9MP1vns9ttEG+E7Z7Q87GQkQ/4ECu1zvbJRcoeHyRB2uHmzGo07qq5RTI2WYDoiaZ7slts1FJ3nRAxXHKRYBt1c3XYtrlt2m964c/+ze/9y/+z3/59btf//K//OL59XE9n5i6PBrWZQq4CGaKk4SxMWMmORnTo1sf5bdTV9N2xxHgnA9CtYcCP5VgPlxZxJNykFof/JJSUC9C4GmarPsyMls8edjt1E7cmFYybK9Bu6BHVk1XLErCoa4xXeMGdjPkbE7Olhm9tkessYt7PwyiTcxbKmnCwGrYe9zZwzH14ozTf8GbhtnZSF6RbMhCAY5obXXCG9F+GaokxwSSyaGRljfwgLPQs6WCPaXefgnGsii2qgaglHWYxdqRxhuh35LXpSy52EaS8bOIySQrKC+/qjJRCTSEsl3g7P05i4nFyXQfA0hAPuzhCOUHZiyzzdo8WR16ol3oJbOSxhVWXnQUYKMBi5ZmRRmmE9RfHCdfGZPslnGJgk+pnXZag4sxQ9JB+3yZxSaox+FteRgOfCEeV9XnKb4JBVepZmbH0XoGglJRTcrHNl2+psjzqMvw+r0y6be5+QI6IYPDU8jCCMdsRpxug1F7mJKyfHJTezFTVi7QTNeZTJApcWgR50GXT4nY9qayMNONkbUw4KDqcZnQhVT4YSvgtLd4sGq6z5ue1NPXo33qAbggKnk4MFEZPC8IypRBEdMtaM7QVNuVSe4ThppRvZFVvAbiaXeeCuEnJHTYgLOWCtzeV1r4vHz0yXe5HwO+vV8/+ebxzXf0Bb/157gvT8Ff4WpCnUPTGIrMdCM5k+5RBz5WjLYlzltdz3kUzqP4sagbiUM0k60I1yKdiQF8CJ8TXGN8sRVoT1AA5fvomqTVPXpGhI/K6Od8nushnyefH/gs13fvv//Pv+jz/Of/16/O37y55sIl89kU7RP4bGINwpkxNFrXZwq8wJ1BSBX1RJmtxS11TxpteFFZQY4rmtECpLbyHbWwmzrVxqQnSO2P+2DNsWgfK5itCXA4iU5IAboqmBUAYeM+wt/u8ezUa4vxVIq6O54TGPvkBk17n3/IsMABih6zZ5beMLnIaKrLGPaGq3I1aN0TQ0FGL4RYGZo89lIfrptZxA4hjOd8Jb65l8Ltgtx/mGbVlub5HqGXg3Ut9imcOBlBJL6AmVuSIkhUe5r38OuIb7ilNllRB3HH7cRUEcelsW6ALF14IBpdUKC1CXAUadD0VuLhnrGj/bbTRWWuelonrnSGINF3XMOQ9BA1zpUff2ouasM4iOctfMadfRG2BxF8Ita7QLb5kryVW7zbo+UXYnGJ6/gu1/JGMjYV0SDsOK9U1UhPsmDuLKFkMIjQ3PX7JjFG4zWbKZxbItKd5N2sUiWshVdGk78SwDajojaOS8CG5m6WbKhHBn9Ywj5VA9RJnCLT2wxR0DVXzhIO/Bq6A2auShMFRbDihcBXGrHGGqStv3vLAi7cWEuaj4HZDFjI3eqR5XjFhHYloShtVuoLeoUxkPdx7Ee76b6QGXN71HOipG+qoOEwZLS0rHnInd6ed7twY3usvEp7oO3lkpDqVIYDqjCX2fYalYzBieZWe7Qr27fT6mGbLq32OHXb6rszo26RY9y/ygNoRzPqxQXNHadOGJkqDHpzDF4f8mZlV4UWyUoe9dJZtHvB/EAuUyacaKVhJ7weLwo9kCDrGSC1rlKj3/isr/jhZ/8c/+J/+Av+Xv/qP/4Wvzl+d19bZ8xFs6pZQ8gq+PKUmEqsQaiNHrlHpRpNBfj3ZnFngm3vOzIpD5pzjYDn0xxLmoRubT1OgbKcoyj8jZf1pUHmQ4SsyUjpiw91GrCKCTYGihveTRiIl+hv9A20GCwAZuz7oWuSI+kY83HAIWvarFefee/O+12FHdtcVi0wk0vIQoXgqqykjefJiZ8BIptgMGLFUMVKPECgkuAQLqEjhGTNmDOs9P50LUgR9ehecoBAdW4ubW0yvvLrdkYeFA8NDj0T7nwNl0jIBXPn76Q+oUbwPbeS+wHXxAbPQERxpnUfQxkVr6SSwlBQbaRCIZN6HPgqs7EXx46mqRCxjCnc+Xk334MMPc/grAbgcWWjCMw4UkrWuFM7HNTlGR/sylJFCPCoOD1qScntKLFg9g+fV72dt0PJD3GCbUtb97ldOWG4xkWUkameKvQVZO9IE9xdEJixFgY1s3xHZrnkkuoE/C9jTmp6SgTY8kEEBq8KjRxRAXcqCn8ZtTiIYBQLJyE/W9vA4JyBH7Wd86PgfnjSQDRRAxy1DVzTxTe8zRGndKKMPAD9ilpiiLC0leRAKz6ux6P9PHMu4BTsa0S6AtV42UwO/CCvMqknCM8MC50hmwek3Sbv2gMxJWlsf86Mr7Z4/fDw8zy+/fm3b3U9wJr++P4JlNqpcqIeW5b+PrXDto9Ba0TRRV/i6HF8XRGwYCC7c9GYIiZgLOqaoQCVbbKN8tAHvCDH1jD7SwnRI4wTRhFVxaB5NUW8o0+V3qcK33wr/GT+4K++/WF++5v/5+Pj/bdU+WnRVzXMR6PT6LY3VEszaxl0oPJkU6KI69bmKRkRLTugMLMqyHa0qgKUoZwYIfE/e7UlEjBqgBTrt1xkDf1h0kHJs1v9duIRkd3C2DGmKd4WIATxEkptCReGJaoMbIJnbtyJFju87v7s3KfhEGoW1Q2cSgeuDqPoAd07qvd3Ow2lOuAFrKlJxsUa9EBnYVhlnwc7SkG9+oB8B8SDYdtxmNt7ajbvnT3baIQowi2+YVEjbKDKilkmbrKYPFKxMifKTj1+LaQwNKlpX7JQe1Bim/Ta9UyCtWuPjFZLhP3q0drMrJdCis8cvLnEQlvSK0FnXg8UEJy5kDBJCwS8rdmUVytzgOVDbe+tDBKVIYHTRqVi32TGbWdTkd9obUhd32hrMOpMq/KNqcdZtqg1t9jr4LX5zZiNwgRN8ZU4mFoy7G5+YpLJ0i9EtoDFk4PYh85IPZFb4VWkpvVrLJbu/WORNYQh8QJ9OU6xPvDJogW6reAN+UtVscGERo5e2PFF7P08ac86hiimB7DyAVaKFlyALdfd2htTitgJt8YqOafRtygKJWOVU4uMkHaH2o6eL+mss+voFhfmza4p5wSh0CIHFu5spbEk9yjBUiI6RwOXalgKbLvjSd+weP0CynwdDkuL5NNzX5AbdQ8z2TELBonu7P5Gsp5WnYVbiLI/NnV22LFhc+I/XvnrOKatHbWCNXzsLhX6RzBiViMXsODGjLJzsfTU0q3jmMly3iZuxQTLq56bhIWMLV6TmcnjIpqJov5h3s+fzV/9D//N25/7v/zir+dv+jl6zgU8rmerw6hcuRZn1BegZ121QzoDpe7JMyVPEb2uRLgSw0QUeXFk+DlAI/L+Hnjscds3cIAtSXfhcxooujPbZ6H9ceW55baWfKVoJ6AZauo6rFNqYAlBcI/pZaD2gnLlTtypby98JXdBWrFVqEC15HPakGwJ0rPlTu2GZ7zRBqOeud+ZpCznBe339MMakAYGHoi+O/hSYJCg83ZGAhIqDtp67M9oDoocrY0oJvi7mw67F10qZ7+jmMQjITinfP8LBXlxUJbZgHlH4gRobU8reiM1wOFcraqoAr1H7HDDy4zEdVbsxEHW1jeTyrpQnjyr7SFEdoBUBXdrLTzV52gu2+TDFhtgoU7uoRt0Ivd8C58WgY1YRF+W3A9rEnccsYJNnZrpdhXSE+wjH0qnytecN7w9AqwXNRXn5WBO8JqE5Du5CigaaI85TQ1xoMvQsPk86xBNFeM1o2srKNIoP7KF5blYtdSgVEgo/sNNwjhR3OmozYrAVQbPCYECw0esYpVUrpliAdZZo1JbOhJ6UOA1ZXRNWKziCQsQkt4UfJVHV1kiLuItWRTTglGnbB+rpXjoB8SUiwM8hlOuWzw/tYGe4DGvkItL/xJLMDlHjFLepWdjctEDvoenCfx8iLmGz+dnP+fp5+OLHzzfvZ2fyP2lPp/PD49VM30S9uLAKSKeQLUdv+yGASbAkEmyekqHvK6WbzvRvCCbZQGnsskcEa4MWxmNnTl+E+hh1XiDe4BbjqjDns4V+UR5PtSPen4+zzcH82Wu3/c3/4r8zz/9/t//on74hpL5rEgdLP5Y6Dju5FRtWkA3tUexJ5PcRXiSjVvgkGKmhqHdELW6qHzUbbhSp19bWZqLyaxuMTKBZahHw059Zu/5mlKed2Y4xkXM4MX3psCkmGOHvzPB/mZWV10eaCSlGrg3fm68UBS/g9sv2Kb1oIk3uRDTWuCcu7ZhBmtxIpcO2twoDKQYIUKph8xlbSCBHaVAdIXxqgYNn7tuZtsV9XHV6juh4SbkGCtBsuFoUlMvk3AMTJCnligI48Fs+FREuY2TRBZpcGBNWgHUuRdPKJLVpWDtm4sZZSXZ7sEBWyUguHbwc2OLR9Da6GiQRbqdWgS4tSvbJXhR0jRnSolGGaVZmdV2XPlIjY1eVMZX74sOX3SjypOItnin98YcaK3q6Py+vKcAMu39aJgNzwnZHC9EZODbAcC4YMNt0+Z0w3DTLVzuzAKbhFbMHV8O3MpK3x3Z6o7Gkfco/dBWbryL/3RkkOIrrzSpk5red/tL2NPKCsgrNkKVpHwSMoBRgy7c/AFht2HNq8W9kWxG7p8Fq3jULTQ6y3cmkKVuxBoJtKm52zVvTex9BR43Xz0icSPda1igDSYpUwxbmYpCaUeZpbybGytnojYjkt07MCT1vyLdY7RWOXfzN1eGb0ABzww4Hr30TraDoXvZm0B5tdUfELJrZu5Cn0FN94S7Ybrt1xgZk1+G+8CnEAPJ7+LP6XE3zJMDgpnAlj+fp3krEAQ6dIpTjJmJntaswTlVbSTeDsyS1jCrA+4CQR7Zvgizz/fvP/inv/2r/9s//PN/8/O//f4Xf/fL33yCn93iXH0FQm3ONU6VdNFPXP308+m5JlAcVqbbR2nZdd50ijLEeis9TkUYsKM1GwKePd2YC248HR6jYqlKdxhfby7QDJddJGtBupGuQL4uDiiy5CpBkqakqvS4OXQC/6C39b4VhEl/CtA+60elMDHx4kc/lDkD9oqR8lHqpmfQ6UJu2eEEQYl2o9PWX7mBGhil4ZhsFNIbwVaUcGFfOEz64DbuRFlWWJM0QbtJoKKRjnI9epveHHpnEo0tbk53PMvZBz1BN2AMMtfN0zYxE33ZOBZBNwlxXNgOWXvO7gF0WVLGqxEAOsxpVuGEhdRy2AwhlWALkRVIrlkRyNmayXS1iHdW/kfTeNzXh8yjpMadRxDulUMJvWbjykU+5JRYXtUL38jikerwfOE59fbGt0IdUFNvUvkcFLqSQVZ6SFVTtB6oqm9KwpXw5MK1li+6ywhxCEF1D3BPm2nhgCjCch2itq+XXBwUlETUspKdqNUL1JzHaZVVCex3HbHEZnUXIlQGcZmTjlzlcwiSVXr02+GXN33zOG/H39CPNxzhcUDprWS4ykeNgtSQ5T7lB1WFwhywcFExMkKiED4Bx34jJD9wvckq1ly0H0s9DY0jHqoKfCTyjg+4ZjJ4IGvqVMJkO/QzyyUTdaCUUgcVj64YzVQQEowtzaq4lh2V54oa4zffP//nv3n+x7/7+v1n+00/++k33333Dfl0P53i0WOORWH4qLvNiLN07vlMeALjucbvz35edveY0zNeKVqZBJQdUDOdHKLUHlsyXc5/6RnLIMqqGxwYgGXOPLuJQaL0vl5+/3z+8NHd18fTuMwvnz/5o7ef/7fffvv3v9QbKikR66iJYg/La98xoJQ76ul05Fv+hsYMGL12oZwVgMCqvUITUAIyEuxgmaDDBN5GPjso90lENW4CLfJiIxXe2mUzlIeM28CbgSeMh4uEgexN1QZ4azOj7n4dAW4kvX4hfeT0TX2TzLgXosRFWceLuaHTISQnb2NbJ1DcytgwoQ2TJiZhGPn5Vmrm7RyyuIhSAsm2BkpFws1RC8w6y10Kd7gpRijWS5hCdiCaHH5z55jnZa64akDGuJJfdA9F2rkLCe/EYLytFPFyYyFGY94SmwWVo87qzU/dGj1ZnIq0QmA4GZr08FoJepY1c3vnhblpqF+JH/nMNldmtruvBgb6aEmQ2zOpmZst2bayt//njYwxXRI2i3x117l3ZqII9hLhN3qdwuquNh2v/lbHwC1aYgOR5MZDHA08vD6YOwk/N6yJ5S223bQ2PSsy79tUGilYOnFYqxqbm4CxjOmcbR7lOTEXJRrRDQXMvQ3OQSd4b0UYmTAS6mNmGEdMXIaR9JYxR3cVjjX/4n6emysV3qRX5R4LMWYuCBvlSU1vTEjq1K29t9OcJSF0C5+MUeSmed6h8WG7L1Ck007I3hMkGMA2st6nHIyBlpI3mP+ZtwoJ9zw+x1mLbbtkzBVE9+6StvDPa8eOZ/ay5DObAjy444tJTvIN8i+00pv0YUNokpEcxcYqKpATOTDTtgg/8mRpp36kLbwre6YYChQTWn8iUvRCCfdytlGREFLgejYSnZP+ZPbgRtdUC5PIkeH1TX+WfuI//3d//5/9b//xL374L9//8je4Hs1WzbyPBxcaEMySuynTV7v17KdwfXl8Ac41T2ckqNmxRZUnpugjNcCi51CumQt4ji/64sz08zldhivt5hjRCXKGnBne4vGbC8NSoAykW0C+XqA6pRQQc6NoqjjN1x6P9qbCk0DHvQxh0FJHyyjTaK2Xz7OLczZDF/f5mSODpFmsKd+N/RDY+SSG87TNVaPFdp83bgf481jyZeSOCSmEiCpSxu8iDfx7bR90wzw2MjNwmfzKmmIdezzriy2pDeZY1X2R2uI9/qWzt8tYyX1cNZlwi87ANHC9yJGYbMTHsLgqweA+VqXIsB1IkWSt8w++cBIikqNA8MT4VuadoYNoESLfjPxGKyy8OceV6BvS4eo/kCo/UVsz5GpeKy/WqrNo8qQ8Ery5OSU2MoJqZnon/nQnqylI+LypzwFlqQhn1llKwCVD5yrwCtMa1OuAz8cI6hkNGQhUsnECzZo4uaUfghMIVCsKXLdbnKkImDknfsrjslgFW5aUUl2YGr6v/E1zzuOhKhHlMzqHtvhmbww8jyTPGCeSzMwz8zVH5eKZvpIBOhbK7nFVoTtkizqlUxEq2arcmqHfKuLsas+RmrcYWjZwGSGaCJKSPTW+xMLpaN0COnuzPMrM0EkFRjKTL1JkRgAb19azmCck6Fe/ffd8+v3j7//8228f3/z0ged359fvM9dcqYiDYxfGDTyafLiVBIWpIeDr6mnMjD4+nt//8PHZn90dND3RFWyAiW3h0alzPSdc/iAsSVJGfZ3haBEwwrx3kTzDk0Nj7KIa4+mPT6n68YDq/add7uv5xX/wX8/f++Uf/s0vv+/feh4tH1yx25uxosy0R+FJfuSHo1t9VS3gDaxzW/u8ZNt7P/MuVGvle1k1w80s9h5R2dxDypqVu2PD8ZmSNs8ZtaBWLri90PIyFS8mjgE0l63PmJm5PyiRcL3bpppbnECbdiekLHjxSxuyt+yWH0FQUqcNrUs//huVFswU3MZCzyk2CYAzkFYtf0PiWDAXrCjGczV5vBAmp6C+BfRaifoqyUVzzWxpV0jYfRf9FdA/CR9rPKz0YcXNMRhixyilcCghkSMmc1sZu03z1BV2JRkPgwSVLzMQYcINx7ensCHAd2sXgaaWJF7ElW3KgzU9aPu02UtiW6A9xbYupGObPXcaK5LxhKhBDKzBk3cpeUGVLhWbJpsmstMURCbpSjDJym0jjZELaXhU8KwLwSnGvY0lTKBZdQ24h0vE9uzgvHkZcU6kv8DKlohU7YPlAAjf4bQBi6j90HZrOaoNCVCw4NWjo9YPFGYj+XjCxKUcSm9WNtGIn4N2/g1MFKprfEWUNwm8qJnP4mPCKCnH/2qe+GrsfW/V+NHcIQWQQOglLVKSpD4aa8358SdwQ3Sjy9FSIZuxFEwvf/pWj9lFpYvOMM0tzOe6owjJ4QQZgNLK5fgKwCd5U1wW/5mY8wjOuj5Cz22bhJPTdTtKL2eJJSChYnKQk7ADi76yup1qEKNElP5Ibm2wEtmDxMzQnJgWVselteeo2UsVtVEwpHRWS6Usbb+N/1oltm6MSjaL5uZAANPl4MqJ8uLiLOkGMe15IwF+iDr2e3/+wV/8/L/673/2/c//wy//08fzr39KD8/33ZrP02+fbBWGViaiPS/wotp9waeuaw6bLvdw0E1OTV1IegcBsM6q9OxBuy90a9zP5+fz48ylu2WmEtBw91nZWnH7wcnmDC5Hc3wEVvSafbL0hYcFoExSKAg1sys6dTrWgpYpODNYdlNSgOkZkyOnKEeYf3fkirf4KLZulWaigiXcZnRxwEIR4asCWRgqxRzGcjeKRmnPtdX/rLZuzEz4TFWVWIhw7sui+fAGee7vBpp4cC0SGe+Q+ZnYqWPi5Q6ANyvJ2whKIzYGEk1vPz9y7fFZ+QKPSnIsVJuTZgheo9mSJLe6bbFIFPtqeq2rBe4YgRGSUFxbE+XBZrxqvIFkMmBiXDBU/eOh4SsoxfYAIgwcgsQVzULKq9qhiIKHVcPRjI2TQyQCaGswLKZ6iryKpA7xOW6K6KhYHiyc8+CbTLoOdET5UKIuN3nk7vYnZpzEGj+7L2imr6AOd+92hi4Raj6R7NZI+ptVXL5bY6LihpbvYFTLmMNM02g2OHVCsrCIg7Gefohdj0z5faA4pYcMfrFkXoSIK4dLGQ36RAMsl83CXG9K1KxNVQyIoDeqo1PvPYnDW3cihta65jZ7xokl+RHHp7mhYWQiJYHBJe28zS47N1wzIVWPme696DkD30l6i1bLnUqAzAzXbQqJZAZcg57H56/n15+fv7z0Jz87f/BNfVNfftDHx3XV4XOgR3FyP53iYDBVNDvzP5rzxMVG43n5+/fn14sfXRcwnBJpta1DjJ5ytRsxlE9DgJKHX+7bELNoG3p4oqpbeNbTVJLSijXo8vnyHNSFH77qlH5dn9I5c37xD379h3/18x/+vf/217+a5/NL4XOuCw/OHhEx9YZZh2l7/Nw4wLASflV1szLZDLCLc08rQTFjbMIVM56SgphqjGOUODM7WYcrN1n1yUYz3x6fmbE39SJltmuQMgSrFB8S0wDjzYYQdVtgky3s1ZtUvojx6sdpsgY3QwAtwropeUv5bm2eizieEhSm05VOqra1lid1OtEaGF5AZYRLDv4Bn7s2UZqwRzfBH1guB7UgRywZvMHN5sL5ORPdRY6ZCBONN4l/aGQHsLju2wowTd9RSAYRzpAzyJRqrQknioYk6SmJPal7sEAZV2d+J/2k78tlI4+rEtd1i4qWKOASvNGLIBqgFaSnkLdAdkSOOeOT7MidX5I1CAGDk4zzucMNmOYS9wWH7TUjAce9eLGUsgvVjm+ijAl6vlUsN0KJyHfAzFO3zIdkuz08JY8xaNqeaxOrYU6iaRDIawUVEZtFIrPw5Kbdh19yIF/NNiicaySv+o+AZpFMIx61FeenohtvVAZOejNmn0a6jh5M7NYGU6wqLpZbLLyZl/CVEgzU+Fmshqtf1XBIFyZUdsuJyvBpUXJf2943oUzYXSheST4Ka0cosipsId2OJyJ8UQ5rEi+nxJiegJbWnblDDD12mQm8VMWh/OLS7p+VdbGIR/HmnZIgY9PsVRjfdnIEjd11Cr/yzG8ZOWj0BIeibSU/fnNJt91NHghBbUJgqo9Fr4NHpQi844hyxQX43HORnhR3RQ9qodjlCJjC8yZVZsv6wBObZSnsQbbFv4HQJNICrdpWRsRGlhKPflxlPfwNP/3x/Fp/j//k//gPf/Lnf/SLv/4f3395wfBUP3092+R8pFVHhb1L/LfRVy9gzJpmpSBIuM9Ywyli+gCdMign7uj5bPc8p/sD12fMSgNXSJ6+C87gT5PsBHjlmjnnchKvuIu7MNEsCEWUy7/D1+A2Y+262UfrwRGaNqQMjyPkUXMqJPWAERiMp2plYonJIzOt7PoxSLd4GQK25QuZFBdkuFey23wk9jUROJGUpWVObT/UqhlnhhJmAwzGMZM4WOGqXnPoU+Yc48rdxxzTRFj7WcS8zA4kqhdPjT4gUvgVeHERQG2SQRlxXHmoQmYmLRg7iTdiHBcBdzJ1BnPnsXFFrXvcVWVKQhaujBgjUprQlBJQBvEh2aR7JhNgL4BC+ocdSz9AKZmGO6meaEi1R3WujDNuaVHA0Dw664HbjPDtkLCvPDsmHg1Bb+qLGJwE9Y/hKenB+aKddaUNRQHE6ecMO0lm3d6gZm13Lg2ahj1lZWjBzJBnmWxOaQqlA9GqPMYDWmYX0MOiIJSPBEEjF6Xh4IEZSdVeoRCiKDsiykxmxrEo9aBsUI/Abchk4b3YSAff4KCAGbG6g5Jxxh247MQcWghOi0ZVCPGqKhtSJ4niTPJ/X1HiRfSYVXo2WNbVVo4RANa4Z3AkjMfCkeMHUPFQbvOAF1ybWi+g7QIjClIGyo89fe5Zv1+/Xn/9+fX59XP+5Lufvn355u1LX35eZnFmhLpSJtuoEKlGY2D3YNhwj75+XD+89/PjvZ8jrGQmLerCl4mtvWbHfxAHaszlvR0rqru5MhBhGuSgqi8fmSh4kuLhT+IMR43+/DxH83z6/bO++4aNq359ffMH+of/7e9//dVvfv0fL+BBXuJMOCmLdMd5Rt6Vlti7V1egI6SmXEJ6+efwuYjIdmAHX7yZAmx8j8YdTC84wesGZODetWTkly2ic9s1wvikGL+v5EWqUtEF4tjsjI0rCfAKbEiMBwxJnVpb2KAN75W+goBI9mf2bkhDtEzzrD6ktxZb5PHVJuWenVtyGeNMihXNnRMCzhjHurVGBKhJrneKz0V6gjlH7KXEMq4IfWGZINU31LdKdyuDJge+RwFA4Y0TCcpNDQntiiizZqVQKGLiNNivZIxxkrFB9HY7vtHEDVvdx8qZOWv1vW/ScOqazE4Z52GFQ4DiNEihnijqCYW3VwNpd07cXFYj6yCTXlciH/rdO/DI27EUhChZGi6++HEOR/Gh2o6tv4YXvZUU8zRjewPM0zEIw5uwA07bCpOwKp9Bpbe76zPGNDJ5KbgLf8QDPLtsRe/YGWJnZWHYKeC1BACdVgyynm6ut2q5JrxSYzKbmjM54+I+DgztLf89SPiBb1MAK4OQB+Yeuxnbl2J3yNpKGVkDmDhItE+UvAP4s15MV2Nu2Upqs/hKgpDPjTWuWD8gjECzw7DnfWYJTI+YuHiESBECOYRz4nglfa8owzt7bDdGtrnJY1xLDXmmgNvIuAQMolX0xrPxDgALH2bkZALBzUKCFOAYt6I7/7TueBAv08wEzwybuRr1SZuxaiURGCYjP4sxgQM8QCeDjby8Aossiy0p9oAjkqB9f+34//KUOzskr+jmr+w+m4G8gUBCJISiPqfw+PoTf2C+++FP/7uf/PzfnF/86j//5m8wv32oDX2dJ5/XdF8B2IPiMGLyObNdHCORTIZ0g8YM97m5Y7pXpkJkO/saN/pyfz8fn8bIVw6ecUa25Z21SbZJoOk9WhYGyot1NHIlDnqHrapISNO0bLC0gIa5gROrmyrIBTTEJIBKdExP7EqYEOHkSjuhn7tgYq2KQMXRGgQCsSG5tyI3QTHqODzh4+QsJg9uY3ssgdCsGQBQeJY1jyXgLqfxS6UhVNx0EyRi8S8CndDIEAoJZqVm7LJG8JV0+Owl3DqABK6FrAvMEaQkMJQ3xmzxfNwT74zNnSYJXE7yVMSYfdvQAmcaUW1mWc68LvpgOUnmR0KMtiEXySRuerbV802m5mzcrSfClT690trJ/JHHBIDNyOVKeoEg5Bm5oWCarnAulV3O1TZpADoeyHAdUNISdPpBHUGHlO52HqPRcEIFe1ga1xLXB7hytJirRUVwa8GluYx4tcU6Rwc4h3vRlWCrKsxpaORtdQALxREJ1uNk/tLkhHhQg6uKpyRaqr3iPcXjSivljAbZOPM02PbMHXFNwzhSx1WSFyeVZ4BpKAWlMhuJBCg/kOSDvYLEEViaJo+JInn1+lNMiGp25enk7WW3YW01fIynqjzdVSAQZzGse/KUb39wysmNjhG0gbMB4cZ4d//yV9d1zR/84eOPvuCbL990v+f0DdQIc9hyyDB52sMe18Wn+Hxe3398vH/647qaJSx6nBAmJnjVA3cYTTNPGQjhFkgoJsPcKRBQ8jX9PHVM3YTKTM6m1J6myY+P/lpFftajv328+ddffvXTv/vJX/3+7/3qJ7/+m4/67dvQPp+acyFkUjDjvcVaxQ406VnP2soH2d75iqtzsZPbmOndO2SCOxs4dy3CkK6scZ24nZC9AF13kIfSX6+HleGyuhzQbwUhBCd6Ia7aN5p1L5q6R8w6j8CFym67BpkXl7J8F7JvfGGNSmnPWIjNcb1z6RljK87IQEVTxNXfpNgI5oCbq+SrCCAXLnDOIfBS1N5a1DPGjjyoLX4jC80ZH9h1odPRuhn2qWZgTWIlSQmir7EOBytd3Q8qrr03ITLBspM2Ndui+8YggUwAzAKo9Q0EZMKdQqIGhAkxndaOOXpngziz2MlYaV8SqRHB8nSqeIxtSrI7U45uQe7cHmYYPtgK7z6IYCcP4MU3bQwKaxGcDU7S7/R1N5YLZMgBkSRUg94ApN2GuVNnuLqw8P+GI3xTgUFw5AFUUdtmrEDUY9h+M4mbcz/iXEB5bes5WI6E0Tn7lRQyRkIMJl93sYGsOt/d8fZcjC8QiVbbxpJkd9SR/vEUJ1wtyIOnsdGdG15Ds5VmhajEj0ZBgeYrWm+wox/uensZSnFyRxr7ouIo3hEPuztpQKnNvBrruN7tQJr3cjeYOY7lueMPzbJJ9viODSOVKUuRXxAp2QbD6ajyV1ZncxOJJmM1996MDjlozX1+5IigQIw6dT1Au5nrdTh56Dl3UuxHt4flr0jGAR4+e40P0QNRlPvJmD2W9GA0tDaBGly4MsFD9ULJANzDqgUnjypd3A2gAZF6hZVKm5SnKVnJwSLdw/OgswfIOcbXID49/sN/8tN/+r/7e/N4/+Xf/Ob6/u0boN3PT7Q1T8w0TknMWGQ4WSQjsJOnUguQp+UmiDZQbWDSzrqdpMHxhevq+cD19OfnXM9YlVzbJU4qrFR292GWzNgChzJSLhJI+EKFLSCw0YYUzXlQmzdctzTqFjJCCZGidxwh1mCkBI0hubM5sVGCV1Gcx5+lbBkJrKc409nwpqUsNWv1wMKMdAJ6xZUEwB2DmGxLV+0ETDZiM7uHYfQ4kn0BmJnkSndNdP/kDiUIJLddCzrn/UlUTlBJAlTtP9JzAURR5gR7YljMDe6BMo7Be/jBEdaLdWl0CzHN1ftK2ZOIZGbBurQiy3xHnTGRsLwo0nCkQiw0cVaE0gANxOof5mzjpgOSN4rh5YWxTgbbKLyAeTszvN5hV6+mN7iGwTqglbR37xeiUYk6TkQqVITsaVUZqFpHpvg42wOiZngq0zY5vowxLibocBJtODCvyTWfippV3sirzkiro/0eEs/jHO9wjcrnvFGt41dcWeQVCfGBymWYfhCqA84RRaV0eEgrEiYeWcPbJoWYC4lhrBIPL7lrrlMiM3d4CzGXfcrLXtZ2N1EmUhaQEXhtz6kqAolgednNAIFBPEYoc05GGGNHrqRkJ1XAlXAhgzzFjuQfo5JHK1wPkVVebc2A2rzfrXik6C11+Tr1699e789fze89fvLdd+ft7dlPX64bCZ/IO30utBuN7ovd1+fH9cP7x8e7P+0V8HVAGMVmN6HDLeMKBYuCnznjyMwRBejKrMGKrIPdhFi9go00CGlksDl9wPQ0+f4cPeu887CPv3z19zjXn/7zP/r4n/oX/++vhQOduVTVPdyZ67k1k/eZywrVm6Z6EWc1GNxiDUufpcIIdBFnOlFeGRjWOLDiuy3vn9AjaFEAMR2602sbu+a85XSOqJdQBh6rVueRZjA/JwsyrEP6/yUqxmn7ZU0gua0PcrnuTK5UhTsp607mCHsKRE2yLAUCF0RO9hJi7NVLeBaU18CKTWmWxcPyZluYhIBFRIp5+dhpBdtlBMExzalUgVoYmpr7jzm2jYVC02m6MUVlrnaYh1ildudG7By3RGxYAUNyU6S86zZzYJhKwvtduueTYjvO0TYksZwWIvb0rReLCEtS9Ax5bHnHewKDjJTWy60eAzeX7W19sNzU6bCl9k2ZpszX3s5BkfeE3t5zYnntZFPtK1jiY6s2Fittylo1Q0ClY5/I+xeANLOM4o7G5u15wWWnxNHsxUsmx3RFDJdRm7S327xD54d9WJkLOy8IGEy5lvGMBwBbHN93ngOz7WUeaD9XwN0lrYo+IDSMg81j8o6/xfI6N8eWJNfFqJAYfOXh2Wn3svqEuRsqRCSTJZlqAzuEY6foBt/jyjTCdN097O5e5x4BwYRzB90N216bycpV32Ueksn+cc5xKiCSMW5SM53NtV1FkIfdioEvPfmV2EaZ2f/3kLBgn0OzFdF8Nj2YaNVBgITExqyRCrjfT2rffMtEQejHQUrKxbnA8Uo89vRKplo66sTHpWbdUEnfHOksBbsN5jDSlBsATRAekmCguIg8jrTRoueUsUpQACyXv8zFj35//Cn/4t/9o2/++Jtf/N1fXx+X8Nb9/Jx5jj8//Hw2Z8rDxyOnqMxOwEwvrRk//U1/8xpz1J6+cu3O1Y4k3Q1Pz+Xncz6fHld5UntO5EMIRx2l1Y/8yh43pq2hC7qFTUyNiHyqOw1kEyQFquxukxWuCnbS8+3aiX0AeTQ9tHp9wAmRZ4ZGbkS6hZkpco8C0tbh1a/SMSkA2Tg8iZlPq7CO/6j2dqfmIByA4xOYP14g730PcHa8/Sl3c2Nixju1FrHIjNMy7cixnMrTYm2IbELAAUOdpYaBDjJ1ICfvYkOg2zhDkB2/XQKOYSXbPkOosROucPfheoUSEOkKJgs+uSK6DVkJIg7+vvmK2VknhTF6Y2920gAAnACpHOabmnvCa+BSsYgXLoY7jo7QzgVNHZX5s14AnuJ4ykxqeY6uTHkDi9XJbta9vkGhM54uuMbJZJGq41m51aYCcOwLxkx45hteXKFW3dw6MEkY20Uvowo1pVPAzajrrSLMRHI3iufyIAk4hDFKLUNKExN1FYA5UgnFRiKjkoNxXGmUyIsD42zemCjgGqn65uqwSo51TyIkClXtPmKGJGRNk2mUMcU4OjAbuwYgU2ZFWBrU8YKnF3cuVGgAsGeoDOHcmgvCCc/AIXmi9Ji98iYGcIzFNmip2Opgp1ktcfq5G4Lo6gYOThG4gP7h+k/X9fNPffd2SJr6+OykcXryiz/lGeJ5dQ+ffb1/+nr2ph0SaAFX/KXBOsE9ahSpKW7NnZvdo6m55VdwG2aRuUW4tHeABjZu4/pcW1MUOMPPpx/Pfn7yOnrqYz7wlf75z/hn//aPf/2//I+fv3r0x3nAz7DBmTbmzm2gzB599b1eBpcNl20wkxqywbTHVm4bwZ18/2XrY7lLeI4dOd4UI/7YQeJw5/iOXCOIgMI15qsueq5EeORkWf9szLO8S8i0vKnFEAoNvfR9c0EwD6Adbpv3/7vVUk1seM7/iz6pQZ0tRfbYitjgLicxyz7sBCIssNFz1zeaGdVqhrjpRsCwFT/ahgynrbuZjRyKMXtQ0RXfqfXLbsUpnuSWSGKntzhbAcoAoXtTu0RTAwe3wh01RAbf9Mqkt32j3PFqp2AjFh41HE9lQErvv5yZhBofblTZYsNRlmxgcJ5K0Kf2LmNqa55Z/f6i3CGXt0Y9S6bglZ+/x8ULNkrhHokF5UnWIlMWjLhJMFL8GeG0glOE9tquNSxCijcNuyZX6LIHEO/c1CV8AnSkzN6A+KK95cvmYDL1Nu++bOGAG0LfAidNYpqxmaHKzsyQG+zn8n/LQbnS4u00BoPw/Zgy+mHbTApR48vuRS2JO55ys7ED/HCVL5giO6OJFvwUAQ7vxKZyDN4R+K15oW9RApnIkn3LjqCnAciHpORuQY2QRcvROohOTvK4/ke50nwNqEkPyFs4GM31bHcY8VMz/WwcgGNvUlFKmmImbFFLnS/2DjvKp9V1LO91wyxY7CLDnGed5kpCtN3aULVdQymEiis8TPvNm1Dh0jw3S5BqOdduEGn4uRnk+2335cyAQ5Y9pUUPVxC3aZbeDjh7N+dtOk2RHaRJFYzh9gqZ33+Zn/hr/fDlV3/2r//gD//lN796/831W+Dji66rPz+vTz2v/njHxefDhTNvK6eOEYK2+UqG42oquzNYWs+re2yjr002lWqunqfnmufnXO9zXT2zCjHYbnRFmLHIUIY7BiKyFfIu4ZF5tSK4ovxskcb6McKPpUuC77mw6fSIW04D+1DQ9J7AMdwGtBmQaBKZwmdiMOcwt0u69LBN3hSH6EzUkSu8oqM1yKMyJ1gXC0iqgIMcRIkEBD6eW0wq0FU1l5uWtMMq6aJxYZNFBzzlYYIjLMoJDKpVOwUDEyKHFA1tHo9XwLQa75yZWzTBRO2BAthSjXvyKOVeEnNPE5AzA+H0CnzXHE9sYE/iTQzoeD/UQbNlbjQRU+xtvY4KTBN0Ajwa6cBeA3FUJdvvQtyzYBP0V8fohU0y9iDwB2s4R0SG5U3SBpKZESAjhp8yIGQZV5CLWNIok4e4t+NApcIGcuSMLbiTuzZRLSYW7Lqzj6TkYifZ5gs5BR6WK8MpSPnBaZBa3WTEu1iNA8+NUmf0ucViHGo4JIw6YJIGyJrLwKmqk1BXuqZcvaqpRBLHTpGR2Kpk8MdE5nPRG8lQojN3wHoMLlG6WNGj1hCxpRNoCK4DZ9pbrVnDtWlXHuIYDVfsZVu6bZMfVdcMI2QP1Z6b7M53R8xvvfBYbcrDjzqAkBcrs83LYkzMIwrjEhr+4dmff/fbbx7nIeActONzaDdxFOwG8xxfPZ5paLYGybG/ZMmAKPhKs9TJRwUihKLRIFEQdI1Ho1ewXmxoME62QWMSvFy5VFOvja1xczSq4fuHH+xHPfzl/e364o/6u8dv/vif/fxP/uef/4f/x999y29bH6RQ5qWZCzDVkSKxoxnGGV7akzLzVHjfacv77GzCJbvbE8WiK6OCvcq8fdw7hUfYizX8BekdnRMr2w0eb83oFCNh5DWYGvHWjIdsyvZe0UO0iinHJhhbcJZUbiseYcRbqtng9liSo+yY5R6BiH1SU20RIRqd1GgufbAJLotHE53LBxuMpM2gAcel0U5aRIjKinIVCUYKDA9zXve1Vqe7GWlzj/oDoj+wu1dw2dwRWjli4+VyzsNozDCS0Ex21FIewasSJbBcipcL2P9e5kUi8SYAWGTvN094YB54rWKc8GSk8sItKZCGC2vF0R7Ni/Y+0+Z332qvXOtLHZt8Ccg3l96DjsttC4NURUIRt4cuxE10qXTQY1scJPgut/uW3uKQGZIdSsfgDAaKPpvJV4zs/+WNCWH2Mu0H/8sCSrBOck3iUkwelm8BnaMcJu/aetUGthNVRedIXkEq9istBckXYRPiNbXwYiNGR9+1/9tGAr16pebCEdxGTBGWZ4i93ftthrPNWxDVgfdhhpWxwU4Zr4ESu7ddRECoiL+Mnua8fuey3cuZaXKWeTVR22VlU0EcZX70GqipwYxv98qW6BlJIsTzzZnlCgxoUo6Fe+hshblgLeCamm0Jo5Q6IXy2K/cOtvNWiN5TLYtvGa/IFYywuJVNFAbINm9rKoFwnbxL9PR1MAKJpq1Mu7f7OD1ZSCsNHbhZ8n0qz90GJ1cfCEow+6FvkXIc8rMJWmmx2Q4SOYE+uo99/f4/+uZP//XP33/22x+ev+2LaD4/++tnv1/9/nx+/Xzic/p69tUEOECrSWaO0b5BFVmvxqXLz56mLvDTuNzXdV0z3dN9TX1+8vn1uq7xtbo3sEBC0qJ8IpKx7x4gEsZU5p5R8uBxh4/nsulRTDvLdXGBDK/5K+RvIG5wDyQQTuZ/jI/OcyRd5MGFhLvHK0tITHLbgq9p7IljIQ4EABWPFhITDbX2PgxYC4Oaa68SUkYTg+kCqWgIGM0KEdich6d6TjQ1TYRoCB9y42C3lo73AodYRVI4N0/AvCchruDM+6JZNppE4WBJmMyWTeQx0jmmDwqRYykZpTygRjJctq4FmW1zSgl62M0Hh94O5S/Koko8osCD4qRocIYkSUklsZw/JqIPeIBDclQZBTZZRhZLB8IcmoRiq14agZJFHOAk8dPUKBp5SlmAJjyCMOi5jMY4MQXNgiuPzna5GT3z9MA+TBjdLZYazMxi3MhdTeKWIIqr1kdZj3o8Dh4PfTlk4QiHRzWPoOoFZRjPMTP38rg4Sk5N4RCFfOl0tlPQYpAtmjWggSOpLA9GkgvrssosjnCjMDGKRIQuTcYhi4BU5AMmTPbR+VJ6MJsfh3V0hWgSCVlsYlgLV5iARolPKQMz4dthDxtwQ6tzaYr09RBllFE4BVa5QEmKmL1YGmWVo01kuZLr6QgAW2S8T2TCSBVdnDglyONSLOfpGz6v+e3H9f7x+fXz832eH9d0Mxqfnv6cebYdXR4GRRxHqzrKUTC58W79VMYfNnMT3WAvTYmHxWCYqTD3+5uX6cHFAN65nY0ZXMJ4ZqK1pD3T4/fP5/c/PL/2+/UsPvn1+du/++ZX//Bf/f7v/f3vDr5Yj28edUAK8amcZP8mHi3VqyzMVqWBKV9G3clHCBK2YhshVcLGMkf4nRs/2bQxf4GZhZcbF0BiYCSBL2QHxmpQAqGH6t1Gz3dLFQnMi8HfiUneshUIaDe5nLmM7SYlkqkEduclKAZeN4LpUOpLMCDuu20EkALC7JkNoFv4NbUWl1xpMV04728SyGjhpjB5iCuIP3Y8+ex2xhBtj5kh3ZFaLazF7XoFWq00tNhAQmTQQXNemU6ZCJs3m68QsCwUs4M65LXFn4jVd2QY+EqIALuTYgJsZ1EDpmddpYwI4ASCCUEyJHu7x0nB4bQrsTc4+awrDaWH0+LcAYAgIPoAFTVUakbMrME5WrOkvTKhYsvkaKNiU9lRK+JjSKppZp5CyK2+C2u7CZNyh56BD9SM5cJ5DwFTWdkLwxFShC7ZEYunEnGUNToBmDZq6aVki9LhLuO0ShonU0LReoBIbFjbZb0am5vIZqqkbENoCXWsom4CZyFKgEV2TKu7V4s7as9jYn0PQCJy0tP2eAcicgmOZW6xtvpslcCxYEgC61Xl6qaKTdO1Kzsmmzu3fVHOVJBrc+DaJScZmHaKrbtuXkZrC59oYJbSC1/pWbwyOyzsx6ZxA6u6yCdNlXfnzCgpgSuuiokitS7IBk/6vU2CyOuFshgAtAfSTohZ4N4rqljj8N6tufCIXbhbaqbB6jvqa7PXiGSVy/gdGnXls/fQkTR3kWKmxCLLtxgnpy+3ACOsw7F5iVU133Z/j9/HP/3Xf/LlT+qXP/yK77x+6L7Gn3X1+f4375/2XHjC5w1vPNlm1PCJsOzgFRQkDWh3gzXtvvB8Dnr6s0n7OsPmNc+P+Xz/+vkx/a5Op8ykTIWeACX3RFlCmZP2kpqKytO1ksdb5ZS7KulIjPd1ey5bkKUcLAtvGqigPWiy0JOG+hhBoqmiB8+QdJX1m7+WqqKpzXKd+/Hrvjziv5mgdp1FFfcx7hqLZAJAh5CADlpCJ6UQHOIArlAGhqXpARAz6l5QMme1XPZtOQv0nCrWsnCMtXU6EYBhwWt7aXlQcPSJKCsx2Hitf67of1adm45lIyACXTpeWxvc+yjLN4YqMmj08rMJ5pBAnCVz7lPDCSnT7lbbccuEPdNkgrN0Em5W4VkXGs3y5mEWDtegLx5zyuWaM8o0VbJdlQt+b0WQQeUwiyQalt2NepHfTpruqp2QYRC0P3Hk6SfrLSEfCattXNC0zxQQBLyTEhBGFYfsUs6jKmEurxYIhRDtZAVWtCtBri0ebKYuyh5PAyWoJFLCsCLlYLE4dYNt7FHK4RZ3SNWI54H0ADlKyVnJWWjybA7YR90jF4qBri7c6k/DfAyvDTPIKKPoecAtCIuSEmOVF7QnuyWxlYGZYe9SKpMzLs2T4OBhflD1uI05whUM5gLRQ8W4qK0HZ7QzYDZIY3nRdVHxgFPjWddYoqne4JmMIXhebTtpwBXc5PN5bRkaUHBywzhTNPxEs8GzJPJd7N9TsLEFAj3STBMzyTfgFNUexV7oTHe+LugQmTljgXbUwsxYag2MfprnPPvC4/lGv9N1iada719/+KM/+fk/+bd//P/5xX/21zpQk8KgZi4OyKI4GWOLBPPl2gKs5HqGyOemT3JxSI0GM3v3EW5BV8IZhogtTClrosDk3vG5NMHGACvMS7mvgjskHRZT4YrKxreeIM99VSUpBOP7MxMrO0PylgX5LmJn9dNw3ahtiv+QSCHIWUih1amKnfTVTXuAdV/W0QzIsi6iXtoMN10bbaOQWPSWKYsCZ+OvWg7BV1cEsh9ZL11G/lEIt7KVNwliD1zOmqs2CWG/cNq5QOi5Fyfx47KdgksmdM+r/x0dkGdlNft/s2a1XezAHgiLeluvUjoZ3Ss/WnwVdyuTESyOZni03iEvYQlAq6DB+JZN5Rf22ayinEDEHc8WqVOwY69edeWV2VJLDMYwMLjvmChfYnDK31+Qn1g6en5spzrru1Lo3SxQtBQCkRy92plzBmQnMcfRy427VBP0r3cCPFfVkELUOxzAYLYKyCh5gujaoLVGZSKD77H5J3YmeO2RgmkAUexgzqs3EqsjiPHqYnjr0o4iSZSnE6G+Nth9AfwdLoGEjRHd9glR/qPbZPmhLUhfX2pXU8Uv+xIGJxww0issW5VoC02HOVeooD2VgIRqUOkq6TRZ4wmbkONC3lMSpDXbsRymTnGmNtlQcsYJOGcCcXs/8omHAuL82JPLDaCYMA+uGDHz4e+qHB4nFCDjX1aliEUsFlFAhgcU0w8vEsGdaQNjBF8MmDqc0Ny5FEeTXDwt3UB4lCiCdDN22oN1Sy7ByhV7ZOc9DYJnPB9v/dOPt9+cv+j608d7P9/85Wv1xzT6+mGev/nNs98dvAlV1htrUvEW6+I1uKqOrTcWExRwtaYG5jTn6eHz88LILdnXzFz9/GE+P8fPtMdAom64DRO5sGCR08NaQhngpGTbuiaVPgSxZk8JAIVb5hFMLdw6WUr+aGC+pA+kJY2kbuSa+K3XEGCfVTpiEXrFX2BPbTyySVo8poFpF67sRy4TILDRcfQnAjBsZ16w4R3XKXjY4AMRYOz5lig9xWokutviLUS0H8XmNX2rgtZbo9rzgpRxpaFKFGs2KdbcDgWhnzGLnUFHgOEBijfCQtHX9i5btU2CeQr2ip6c46eAkTe9mnHo5Fw754E1GFjHxrAQ63w1qbZfkQZRduf1IDEvVA0guMPMRGNqz2ILkHf7LVKSyyi93+metc5HFcnCRcgaNNGe0tmQ0b3YqNhLKxVeIgAwGnNveEzGKbZZeIdr6ikXZ4YZmUAc8krmhZ0msZ7jixd17ollFmNCn6qCeEbNRqWSKTb9BjgYRF9gZk/OgkEQpIIK2jhZSlOW0RWD+INkHQB1MHygrrPzHR5tqHlY6WTM6BofJnqad6fIZMIkcFtH3hz+YWvIeUi2vtRjIqopuTMrhp8eYwqkOzISRu8DsbIP7QaL8rjg7pz7rdpCqi3A5TOY8Z2LkMmAuWJ4C0fgCkgjDKltZgVvmHTK8B9hHBA1nvRGmMMfK4PQp5GlWONPEFN2zMMeijOYwVXYu3xKGovdOwANyCTLrc9Kc80D/gzmo8O5Op6BIzd9ewz3ahyezM9WjM8k4jetCTJ+EtzLa+bq+e4yz/N9+u17nTof33z/e3/53Z/9h2///f/3148fvr10fehdwwx8EGaunJKzyMveU/ZKqm6zXlC2lguEhsSU0XEkbpUfqCTxDF6DJDIZszrfPkEyCXDhwpwrIknx8qPsiD+eNZEqAnvnuYFSRdYwtUWE4vC6m4xtZiInvDubzI5jMWlbgAh6rtw6ySRJ1RQMOnWSIcxseqEjKyksb+ZBMcjFiA/hoo5XXDmWLq9K9K46BYT3NMC+1chZsSQ2xlI7tyCEgAGs/9SCLnrMpip1z+o0WCQ2DTKDtLFpdCsw9iL9WxtgBQfXa0YxAppv4GGSezqReabj8iBW4rh/IeV/tEo7pcGxKkYhtnwEsRANM2XtlRADcQK+OjochT0pyue0zZuSJ4bE8iHRwqeDsbHVxwLjORGi2BomgyOmrqCAq+7HCoVqf/XKBIVV2KcnHnNmbnz4HuKQ08e5KXU3TuMI2wA0INZK5aP+WWltpDWB01bejFuukN5t8Q8vS093pjWAlB1QGFjn8ToXgoW9wHmuIiWTkhmYECF55i6OmT/tcOF2zpaJEC5Ssa1gA+zTINxEBatdgCftZkrl/Y9bz+8dSzBA2c1NMU+PvWDD8gfGLMAPdudYv3F7OAXisgzERkHd5/5dZqc5GE6xu++uESmz5hZ+3GUxbhIif1FBn+KzW4p200BhuVwzQ6pvRWIC1fLZ+x6EGL6/sivyA+HtXhMkl0dvwNMigLJGrUHvhZRcDHqQaWAg2AkiLIQE3bwdCGGktnYu/Bi2sjDKkjdecPO2U25QMIs/7T/8i29/8o9Kj+fnB56/ref1+fnBH37z+fm13RSqZJa/PEqnKJY5Pak3+sppbl855WQAF7r98T7XUzEre/DZ8/nZ/vD1MYbbto2w3ttDD6xSqtRchdpC+67nEfvrw93xU2WetZKVYXIFaxkR55Fq8Yj8i2NEhMcgHrw1gSie5c2WyqYSPz1rnMsqT3JuCvi077694jFmiViRdNp3X0U1Gjy8z/ps8+DvvQeVUDk6FY2HURurwiAbJsmH4J21StLXAgQBTwN0pcpVQFBGnQQI3rxt7caNZlPW7QwYBRtJ43CHXtBOfyChc9bGoxbucadTW5Xtg/Es3KablGImDYCmmkhgY+4uVIEG3+jNEzGYqDiTZ8CAoGG1xEJfJ6mgMBAd2J7qW1tsRy9RcWWGcS9VyhncaQQzHPlQbepxN+dKAGJst97BAF5dhiKvCmPhScBCaMAa4zBxsqVqdCW+EqBYwOWkRTvRXgtPUGKjKmJBRLxGVGVQGpKOjIaBTltH8CbbfU6ZKleJGt0ARvZ9DXXmkCpKnfkAJVKTNNdixvK1YJYfAciEB9UbURgc31ARl02VcQGwqmhDfijJAyiiHufocYhTUHnG33/vZ/dHP6+2i0CfZK/6CD03le9IT1TuSyqHAQ68gzpaGfGAYjOzx4wH64lxDVEc9OLkcZLh2svmjouTZG6mTf0IawNDupNwqTmDYbXHMychxK0rHt5VTvrCngdXvKCHM7hxX3vIhwjIvVBj2H8GIecTviUpIZEAyz0ASlGIj0draPNNbcUlO1wDSPQxsHuahPDxfn24Hm/A+9NfdJ719fHx5fe//OSff/uz/+Xj430epZ7zOZ9HRejCLPdVe0umYhLAOWEw8o1S/g57w71gcBfiXs+bU9RJTsifcf4X6VbVGFswYLPhmSrD64NcdVwKjgyNYACxuy7fFI4VsWLB9KgrrJAkQd6H2X65173FJwdm5/ZL2Z7tHIHINi3IsBSuKZqcV0aNixnOzkDsU8HPM/xkbQrcUzu4co7K7W4CpswN6EfJ7dQkMZCu8GElN9gyILkNy8cumBgXMK54kNY0l8dqey0l5DqW1iLxO/cPU2N23DD0CGxt97uVYcSLK6i6kd0hTsTyGIVmZdTjq0uBkYyAYDkmaCWU2dskrqpkN0Y+z13wcrX8oI9p986NcXwGMaSv1MR7X+/rn5e7BJUiFOtPjSofvLOV0n8YyLwP9K0qiuJKt68yxXKmuoVLNMhrXvf8krGr89BdtwJ3twDDmAS7lNG58ddsEyt4wPmO1mizKvP78/e0ZfYtLgmWDVmpWO9lCyZqOEFNWP7dNkQNLw/DTQcOH6eW216qUrOEtNmO0HDtN10FF/io3GJVKaui/IibTRkOFNhoJ5hF9zCzbBSTXhelPVZBEVpgjw0hEFxNrFt50RGoldaGlPeMhVb4ekob3oy4KNoQx1BjiKS03QFYuOfE7HJ6XTFE9Dl5GimcEeohZlzdFqHZBgabRkAsVrJH57qjcslEN/BqzdiyjE5aWaCs6PfiaTTXD5l9XfSkO+HNp3LHZeVLIQfB9qPAXVBs+BxxhfQXYMmWHyz7/csfn7/3L/64ftrvH/P88PW1P77O+/fz/feulSyA0FtRj7Ay0yh5ujFz0W/GBVtsD+3y091+/nBdH+irp8ej57Ovy/Np93Tfk7EFTtuJUnaiKMfEdtyTfHKgRQ7ZEYREYhiDH+VUR7dOCFu/DwcoDYBhyZuQOhtFzZob8ahoTqKUs12hKAPGbSXa993VnMO4iozNQsQ0EM/xMo+57EjGP9UxKmwvnQ44/pUbFtoDrwRGRUFFRBEhRlYV7KIngwgItH2k/PIUfnQW06yLR7WelRCUIFIGJgBUxVuQh5tW25+wOj8y2qVoqW7LOl/GB1Jq+55HY3Dp71kX/dpWJlhUTa0LJ9WemOLVNdWyxBoPtFcinBGsjM11YEyzalY5cuPVmeSQ47IYooV3phk8lKUkeuYxJNJFB2N55qXlBaJ4rjrjq8is/VLh/kApLUs1NKoxnMCDJiFOwxzOGY+vMHt3D07cDMStlhygjveokiqgzN0fIrOxFjobkNM+Jxy4JYmY6tKjEqgiRMme7ockrfOATtF9qmS3L1IqHnhQ0oitHCHca3hFjLR1Ko7xC9CwjowZnGg7atl32a06xS9UfeERv5BvD4TOfTvzw9c519vXj8/Ptqh7WCpoZapCvn0jmumajmgESV4NKqWOJVhyEfJ0uxIEoDxij+gJbdeGUHavOxDt5DeDgCbwXUVclmq2ucR024O2ij6NK9Gv6V32aAeLnhIz9+xCbJvPaSFp1ROVWd7ljgMQ0L6KkvwcG6OI/gyRTRQynGw6o+7IoOJKdgrEF/hop24ZWh4dVRvjrs9uPZtvxQv93td39Zu3X58/++5n//W3/cPH/OAy31R+EJ8+5HAvZgyfktzXXrThw/OA5lAd7tKpbo0oKiKTueONQposLLMIk+9LH1vn+c5BS8V3T4cJExAtdcJ6B68JowmXWKtCStg85q1QkfqrayEcCOHmmFCwrIK9zncL7gHmFVzkGp5w8q7b2pc0OnILy4ye36Iu+2T2v5npWKKHgYdREMh2K8Vlaqi93PeCDviYz7ZH8BVjY2DdzB7d9infPMTopGdQbZLN9IgFxrD0o1T+nuihlDTR4AUnxFb2cg8EUY2d8Bxk0ptXmkOpJ3kuO8AAoZ1DitzYuO82oVKIUsRo85W4OYG8Wx9SvbNrO80C7nAK0PbJ3LRJuA1djixgA4HyHV9LzEZc0KNJKFgeLpP0GdYggcc7A413DlDKIvseopBzYaL9WtdhuIgGF8OKLaUbKmDi7+ctukp+WU46GavviYIUjit55TARMngZdt341IZrbnJcCkjxtYATaskXgI7tKKakoX0Bx3u8ie0LgTFNbHzQ5Cum1xzAGdHJ3m2esLwbXt/cldfy1dYJulcYLLAnmy0Gft8Qfgr8NEdTrNkV6QZZil8uYqulaka+e6m0/rF0IOaSiPkiZsMWkPcwgkgMFr+VJ9xEWp+2t1fZ/ttECoY8evYLzMUeI0gDu2aLWOURJRNBcjD3G5iBtGQXhJtU2YRy0ibnuWTFMDq8yKeTo8ylTkKsZtD2jVQEHqNXVRSdlpmhhkKSRgAw9rZstLtu0ciHs/ov4UhGz1X90x/+4i9//vN/8Pjq3/TTn9/783v/8P31+X2jPW4RJFV6SJkeubTEqDgDEY2WYfRQ5/n0POf9h+fz6f7sq+XWdF/PmWv6spb/cMefkx9GUbdpHHAl3HuT6cspe3lCop1wiDQJ3gD6ALW8aq6nOBcDgqxji/cLITNHPkg1WTsvBp4UBbPQOMLmAOo0bkqk7r7NxCY6GeeJq9wufVEUB+fC68JENSmlPicHHVVRQhmCvR+ghYNso+QGjwqe7jvrxW1a5d5Bc6tVdfJnpOZof+1CRqsUzY2nbQqI6V3Swvqm8rX0AjNG0n2d4fXImICbnso8gj3Tt254Hbdc5rJJlXiBBIplPMWuw2K5UspAJPN+X2UzscAQvJaggCawRZ005KdD9dhEVwK9jszOYuWoOMgMBXvo4vJwE3JgS9nZPCWZ9/wsHHpHL2RCxRjaOU4Bfijytkok3APY6wLOKfqJRHaB60Bf/f1sG9YkdItykWYyuB2TPcbXSx5PqUrDSvAVJAusGhXn0jmiXGIdJcO2YOkUrDrSYQpQomVcKyPm7AmUfBcVew17T1p6w4Wasc5OtkSGqGAB1HMosqQvhYd8Sqf4eABHKhTf9LyAo/d57tUPo10cT+2sR5bHQg9Kla2qAjyji8MqDh7WFaKwAM81rCRIazCrmMixBEE9o2QvkcQhJ9oglxJja3cSgyBkDaaW5IC+9VBIZtpkQxTV7iT+lfS8iJoz7sGb2DO0phAEJ7XOudPTwZInPkEvY56wJl01uOISxcYhzWipEi5gWZtMuSM+Cxd9Woh7p9FyX/54gqUDf3zifP/UT7789Cf8vX/23fvfPH/7P11vPhfw8WyfK2pzMYkozQGhQgLcLYKNaWdgAkE3K5AjIhxnZs6mkloBRTInZJE4t7Pg1qqlnUu5EqNlOK/sFgLJP0kKfVbKQso53+bW+LRx9qJfTHwFOqEmKmj5Tah7OgeaRumovT+WDmmdyHI4ijrSsxQv9wSKomXPcLxIwNXaBvYn3MBJ7bZKADn6z1qOQanMsfDnFqqb8oUIIHSf1313G6maTVj0pBrJ1bkPagv8CGmgsiEf4MLWylwt/Q3wY/YuSJeUs82p3opw78pbUU0mUcdISuHMS8aylDJJcKN2BLVzf/MuVKJKnXBOGwWTZbMwOAmzNkky9RigQ6TNU0qh4RoIcgWNESyWvlVNXnYpiYHhPHCbFVC015zuZr9kT9F2LMq/vRYTCL/EUzRPE0XWXu8M4GUPx9oqPSFRu4zCUS0tFGcJJS/THzRyx3pEycTVP4RHiizqxZzRE6RnccfVO4W4yJeStH6NE/F4fk4EsiZkXKs3FXmls8FJ5RThS8aTNKkLVipXwpN5RUbiLMz7II93L2zL1D7Fu0bHph8v92IY6qQ0vpR+QcUC0M+1K11LLuRAZKo93/SPMUtZGNCGJ0VOuj92/0UvGbl6oxc8vyNsoglL1DUiEIxwyYzkLn/H2JQe0t0ZZ0asqG0LvPBB+cBk0nRDJeSLBIyMqytdgypH20FfMdRMyDMSplmzoEFwzbOQARARkOAJlxZ5f/DLLDo4VWJoWhzTbJhVHpkXhqm8v/zF4w//5Z/4u88fvv/8+I2vr4/3H/z1/ZpPunekydWuB1UpFAmT7cZU9A0G2XPJI11+fsz14fev19XjJ6bta+Zie9LlTdiKBAQu6ZkxU0lzin8mFwJ/1PQVg2DbhpLmsnsw+xLSDtMV3KghapEEQWhzRRx5QBM11ezKHI1Rq79MfCAjcl2MwR3vUht30j7oexVjoFJCJJw8kgV1lIAP6mDhLhKrD4y3DHgscMJYndLn53rcMMnMLbFUV3JShjXww2jx5DUn/Q53f4htUzORr9aOtgdwNmV0ESFJAn2RezTtDRcjhGtvjNrOOKnW3NtuyVpGIagrGNNQuRWCxZbINViUgerK70hpFewBmhNEdJT2buXrcBoz7y8iAd7/rwgMFRXqYYquUWAfPByKM7RdVWxAtDMYLymSA4suQzzEXImFCY1MYx6rMLCsZ/rNMpt1cDU3xIvOFksWsVcHoJKBt9zlqtA2RQ0vEg8Lp+katVTMpF6vJzg3iTQDsRJLxqMjgKIedcgjHLJKpYKEL0VOlYSpc46mConuKfLgjJ6UULgGoD9xbB/OxLsd0J5lz2H48AIaruMZyRoDrLUQHlEThn6kIxgpnexz9JDaeGhw1KPrYN4816vgAcwT5A5mejjMItLEtbi5gqHAZjAp1wN+mlTk9hpTuizVrI/EQ8zUqfZwXqmQt+0dQrc4GQTvvV9dxRnSsQTkfyNINM6hvFb4JIVdIsaPw2kOIg0psMku05Cj596UTxmxzkatfEHah8DUmmTh2WAqjHGRGl7tvQ4dPDqbyHOD022wvT3G4Ovgy5NHz/OoN18fdUr9zU/6y5/Ud//07evfPvtX9UA9/QF0N6kB6WdwikHsLUk3yBH3CkW8OcSNs50MvLC93PcqWxdiCEdPxlrOlbXPi0S/JUQAOGkpfhRzlHDNqtiJbK4LQQC5VYOmV6juJD45oza4Bl63RN/SV96IXqzzYSMUYvKFsS0mCAMhERcMzKfaSSr5A5vd4RUmGwoNGP4+w/hskw1jDtQ1FVBm1jgr3kPjA/Iv8IzuFWbpJbW/ly2hic4yVbWjr96O3Ku1EHao39paV8wRretmBbI5dC4ipzvYO6chGaAvQ5vtDl6pyEP43SlwdDUGaLG8DMZ9M6YrCBIGgq/Z1bmZdqkgzn/FLsEf6QPHUevXmBDvtWZ3uPy9XJklEPApRfykR4NudNztpqLWvtu3gW/xEpfrNhmfB+8BcYh9GV5dST5+EmUIeu0W+bHjtkRnVHasAQxlHHA/ZmSwb3Itt5QqZUGK+uiXmNWVbiSJ0c4Ml+RK4Uf2KwBnhFRjQUnDvDeKEmsyQfcGsSDOPdUgSd1oJyEdM6zpVLWrZtBe8WtFecmNuMrA8KNiRnHl5NCthQq6j/0OIMIGrYBA0NAVDP2xsWH5ezQHT7q2BSa0PXoziRP3hIftpbY1Tw+VutQU0QiwZ7iA3dXrFsENp6+shCno9lka2EG34UeWgK079D4lJF9pZ765iyTG5Gful0Siu7H8yfBOKzPsjvJrNQi3rDJzmlInb0YugKFP/h9My0W67zKc6+PyDUNv8bwpXhmWVF3UwI3P3//5T376b+e7P/326/Xx/mt8/Tr9cb1/fX/+8Kn+UvVpncuA5kg6YpWiyEzyoYeZD3VhPi+azwufH36+P69PPNsc+zpuTT8zF4uunhwinRMMSwzuJFKGE4uTlEBZTF6OAECIYqsS/6JunOl9GkF0QZLowgknGxB10AAbKEZ/UaXOS1+WjknqqIVyE+QjVwAiF3sC525uGHYI1wI3Y6pGw4Eb9WBmSQ3G0lnON3IEbosH2CilwApujZqtf1e7lalNKX3n1oLPolaOjnoxjnSvnOY6smIdjqAxOrB5wer72FNZzZDlkBCkN8trJ5ETRfKCFwLLJgPwSjLARnOjMO4TCMId+8U88JBQ4yaqxAtgFXQq3l4vR6HMg03rt4kkeRdxGsbRo6Cjee4Elm90XtTqSvfaig3PC8QAuimlIq6EXcta0U0bWm3fKfZU+L8ouYGDmMUtsUE6cwugSpTOgkIumgNZ1q1l2pu7eAHEHAhEEyiKa132oWAJvMKIpLWd9Hqkyz6imAnBRc1DPqdOvQVuL2TtQnxLi/rlDeT55gEKhyfMZI8Gw5bUz8aj0JndWekLiKOZ8lwgOpYZnwVBItaI8BOsDRrQYYtkux7oYYkjP06FPz2qqf62yt88xt0pVNUzJUZIbPg1Xcb3DDNHsrVRE+njx47t3HojnuXrOYeO5sGpPSMCjxYqHSyzWoKmpb/uQO/BeYJOszB2c8Qqa2qYrHzQ6hnwUclmT3Z1aafOSyQYg0Og/izYrbcwk3EFvu81NUgOldpAmvEDvuBDtnoszC1R5FDsHsZoQZDl7l4secuQ0eUWoOv/x9TfdtmWJsdhWETkc+re2z0zwAxA8AUmAdGkaEqiZVuyrGX7//8Fr+XPNi2bhADOdPetqrMzwx8i92ksDIDp7ttV5+z9vGTGWx7z+vzh8bBxea538cy3r9fX3+G3/9W37/9x/vj9Oz9OyS3pPAbPaVQN4Wl2oL89NdeJjxvi3xPDcWjcnk7AHLkSUbTGhDCHQeFNTVkdBC2SGsPKnwZyvMmAoqGLpGoZsoD6OT/vSh7GjJKClEizoKy7ArAZZPd7z5uImTu1N4jGgNukLNLkPeBI9FgFLgrP2EQCs00qhtW8x0EVo1gkl+1x37NxYpQPT905azanKNzxS8Ox/Z1X4pEqpcJirVBkWZNMO9tify2KL3iFXB0ViantA3bppWjJ0TJ7/3BfUQKDqA4EZAgV9ad5j+zaogpbcWdxroRkQGqr0q1vt7gK7JY3pGXodxYho5tf/QV8Y+YRzNMwFu1I9uPOAOKsLKO5X9BxbIX/2G45cCEzdhqL64fCiVYoOXpgcQK5aTxIsPWtPKcTSjacrT/W0r3jndILrxSMv54pZl47jUHyMABoB9YG0rh7xMHtFIjtgAGOk91ewdtvuc2qcEM6iEzMqEJM0xkwQBKeubTb4YBb3Q5XUkaA1sVh9FOLXGeKHoqBHci2X7IcGDdXs63npJECySsz6GwmoTICJyOC/nv7gCT7JsmBm9oHoolCLDVGckOgMPW5Qk0g1L3uqsGYGR7evwU5K6akZU7wIgIj3dgYuL3ZUy9Huh5cc+0edy/dSPUfHOJuoh0oOG7lK8EeubBvksXbg7xIBqasw52YsnRaEk0Ep3BMEEi+XJiJ0c0zLiBe9wm43y7sHndFrYP+dQCvLCRNLqvsZj+qOHpeb8/f/+0Pv/0P7vrp+tPg/THv/vj+/v793SlVHHnwlIq+NG85ogkPIhCCOGz702p04/O9n+/z+Ww3fAEXey6Pp2Vyxui+8YbZXKNZy8YK8aNjBFeDMuV1+ELR/c+cs406ocEVhU4mDIrj3mI6Qp3Zs27pi7zHEdDDwh0ROEJVwJNt2FOcYoknszORhYxAZgGmePLXhj/NNpnMUEeTKIYPyK2VH8foAFB6KUtjX4wxM3o6mltJ568nEQ/xgY02A47Lf+al255Ua9lFE3Nn4HxGSJibMInQdzNaih8xNX5ZU9bNRnmjOnJLDZbWBcas21iFuXMrBN/qcqrpIyWyAEeIIqUYvNOalddhN0bu6g3hSysf/0ecPAaABzMWYHSyAhgREjMjqSHFk0TxzISTuYE7MzKxljGlmh3ZNXyjo6/DKw1l6XWm2IXoaWRsyqsSoafJoKBaEyrZYAYrAG7vADOXsW62TeUMzyFhDmuZzAQd7ZMGyaJ5iuRDOCpJoM/ROXoTST9UB0TxiFWAWPI5JdbjFHU5if8EB9d59GVVN+rxwGXMJzC6eG1uLPDkRe2naJ9yuiV2BX+Q0VNRDvMIDQ18uNW/L7NWAK4rOCv1YIFfz9vzurqjGZdD0wFxiOeedKL47dJ2GJWo1izV28MX57UeNcBpPEcPsmdYNX0nO+Y2QPzFjs5Mi6h0bsFIcXKRl5kQn1XdIcidC8mvbqJqu2aSZmGAEqf3CtviX7FMD+6uvIajTo6t7B5KvlorCY6QhEL5XOcZUarBGiekV+sGzPKUsBelWY2pnT4yitsK7zTr0lGx+wOfv3zX2+PrH778+C8f7/+fj4/r8+DY8FwDHVweEHINnzza8u5aIV+iObQePobjWW58bqxsvFMhF7+D4cz6BDz3BtyBNBqzwJX1pgRPUUaQ97gbb0SWkEI/cz0N2leEhTdWE7HrIKS9FlVIQ7BF9TAg0Nbli6+mO0foYN2Socaajz2LM0zyfxENSAncHFvGlu4gmravJA4HL2aQWCY7IaqyGnVu6CRFOHqPBYlTVd8OVRlQb/GRV3Efva+MSBPsaZVGLN4lCnIEza+8jJfU8Sv+xEsT39Mcd4LAxEfUcrtoK+qftFcI4bGahjRAQR/XQb3CY2wUoZdYhimOMViM6/79e9AK67/Fr+8HHBzeurelOwAkeylA4Fqwb2o6RV5wYdu0rG0293dx63VEaxAyf/ubfQV3XqcSxmn7vqW3RJ/tIn3/rLufd3KHtbohipyMHARoTKhmmCvqWIzrllZkMQ9wK8rWt30/LkMzqAVg9yvVZl7nWGrcZTijMNBLEgVboCT1dJLzFqrYyqEzl3GXCJe1SOUx++h2jQLx0i2BEuJGGUUwYyui6Lvt1twG33+E8Gc9xXO3Oy86YHDsujvIfc47QawzYmw3fKRh7dLGMDkDeDvVYRg7L+5O2ItprBb8dVBlgDS01NatMtvOIbQtbwxitSSrvkrobj4I5gVaLATEX7XBIBPvH0Uh1OXy5ZNCnwQ8Mxs3rpnx4Qx2zECw0XlN9vBaXfMdMlmWMFDF6RvX2sW51JKd1KIGTfzwB/71f/Pb73/4+Pk//+nzw9fnx8f3799/+mjwQKgOOU/rlPQQDh8nAmwmv1Ogru4Lbvc1n5/z/OD1nHmye9SYEdrX2N7RpIJK5EyT5MyQFiqoD2JRmjXcLYAGwDIVtHRSM+1IxAR3uuEZy+wZkZ7JyNYkxC0oNRuz2swUetFA6bHqz7zUXkw6TW6O5japiVDmvtBxJXAGLRc85oiS3L6r351q0FCVvcIP8+V6EyCiOUJNMIPKIO/tKRbMuNWaA2p6UJttxwhFEshON6bi7En1mgXoYTxV1KwIJVDPfRauQ9x3modu5WM4FZvM/ClvyE96Ge4eBuhN/UMzrqZwKS0dwFCJ1YfaCVpn9U1m7yUX5ryCj4RcbUQn2Xt3cQBpiEMQdeT7FlC0O9Z22cEytATOnMCDIa0Go2nsBDlyEtXB4q8SAELFfLgI7+3JOMrk20EwmWHdMKJOiCNML+0eTewcEUdhTZDQ43W635luA2An35pTdOsEnuYjPdU8znl7YKyK2kdE5aUA0LmHWz0eEHUOT6lEniqa7uJpGSeADKvmkGa6J3Jq3tjt7tNGirDjbmKuwSXUpXmEv6TYGAUCmwFQCbYGgcXOQapwXd1dRRTRjZTGX4qfpXNi6E6OwqNw9eoWIaj5lM+gIQ0SCIyFAKwDd8T+mynuA14wDujTzxQ9Pkmre6A/+8Ga6uzr1IxzW3KWeKLWjossxFAJ/crYua+q9WcTE6gz6GUGe2vJFYKgOTO2Ual7p3IPmABO8dkAy85E50JuTMLouFEOmGmcHmidm5vbl9qruXPD4CvAT1vuNDBdjY/nVa2jA/b04+N7z5eS+oe/+c2f/mN//j9+OZA0n8f66AIvweMCpjhXenlT4ymGuOzBqaSG3UnnaxbX4vMGy0G3vGJ/7nVmeNUPW0ftrZzJKQpPB0yE2r7v0FSOt6ySO1kin2d/N9e2NFzyVWNXBSVJ/754n1cbcBcDWbIxu070ZTeDyK1v7L02g03RCFMd7H9hD5TLOT9bfEH9RXRqDAGyM8so0Tw26MkAugte71lOYgYHXvf0DekFUhypPG4AYd+DADkCz73n2veD5XjYdPJsMl5oOXbc/RtQ5DUpKFKvhTkD5I1/cLT+MjvHNRDEclXaW7yGaNukLDrpBRlXnVucE9x5RVoppGYyUeamICJMZeIBLB/egQCRYW4hHMSeiN5HGZG0uKmDm+ZKwKtz4rYpXpUpt0lYbGtLaNx6WQgrUN0LcfYJBwHthL5st9R5fRtEGjXNsh67Ajm9AoCJne3Oc8L9mEN/BEC6EWhzx5gB+EfOeTG+PNhIiAyKWs5tOaeJkSzN/EwKoTQxO8gXoSNWf5QclqFO3mZ0QothZcdk+WyPOFuFIyDAQoWYtOBZDPcDw0VwLJVnb9n8QIfCuV/Jcm2LkyW92faKiW85B7EVTvIioXyFhXGMFE8xul8pMRal4J7Pd/WfHjoGFgJmjWe3AoDeLFiCud69FTWmowRyuv5ch9mEUZEHyWCGTaYguWWPoSRTocK1Q4PZ8Ii9huBQMJeXI4+O1URtJPSi1EFmV0O7xUdfafjiqLdWvPhWb5/1/mT/MN90/fBe77/599++/d8xvzx+/nz//jnPj/rpj3M9H9PWg03bfhOEqTc/Hnx7iHXIy+kGaZtjzfTV9of6eV2jiR2k8TT7OYCng2h7O+LltIBhWX238HB0JgBmRCZPIxAMXypSs2RPoJlqXvZkAp6ZUXiLCPW4GO8XO0m/T5zH2DpRMeyto2JjCgfO092BlEloSkz8thDxbM4dkR2kIgGNkOkrxzSHUK++6WCCROrmB/KtKvK+JHxkELUXQJ80gEzxj0w0SN1dVb3ZPEXM0L0+h7WzGFKGInE5hSeVQEnedjDQpC9tgBAIdab6tIAEoebzSGUACb9da0a69lqH9BC1RQCp0Ky2hboCsVktoTlHLh3vjQJbWaTR8uViy/pIpB1euBAGBcuV2m0GuypuF9XKzlHQJ69D1yRaM5zRSjUdSf/2+DliCzA6lmhmttw1Q7tC34qeV+opT+OKNjB91CTLBZh2ier4Wc3EszVcV+mxpLGxL2Lwqggl4MHTOxiJG/BfoiSWqVOcYkk8MvIu7dptQcP1UJGn6jxwDt6YptraNJIukLErmx9Tb3LhERFDnXDRnMd4pgvXs/sS7Outnhl0pcvzljyKWrXLETWICHuKbtNNu13XE98e4PePmToP0AU/AWHc4nw7B/38fLDa7msDz5x6z5ozC3YHCq1o0uwRx8Oo/McjVJnMmMTyMfqtrgExYF/jHqqSQUyIfQVsuPXkkaxl+icIhF10GOZQwgbOuiBYnYRcG4LrlKFho4EONgkh8zYv01GMJZhs+0+M0HiiA1BOck7hC8LEBFq+MAAqY5VuG3gQttGt9gwCRE+r2M20oRiOLHqsBj4/8PZ2PX58wM/36+h9vn99fv2L/ov/Ws//N/Sfv7j1yb/XeXgKuMrsMUM3dJlDVgB7j4FjO0yXVbECRkDMXx1LY+HqMLcTF5vvmgx0I6Pu7Je7F46FLYEFkeyGHQv5HREOwU79vjjsjeoNphS+6B6itGOV054HOwVguFKhxGv1UqRzy+ut8/G6zTfzJGCI1yx8q6qzVtMnBZ5jLOQkR0GqM38KCZVC8iYcOpW2E/nMF4C4YYG+n0ywTxpxiJqkDLfktqYgTtuqajdSVcPYaLk7cw6H91OebW1S/mwouPfgGd7qpFQNl6AkpaUWjYZVCZXEIDoJSGisJzPN8azGnAAmWTOxINxTb2+1FzuVlRZ/x2a27s2o4SGHZ26BpXYyVPCqbSwBWDvCeXboczh77ttY5c+mxIBcBVVq1FpmO4xWrr3a2S7s4+UAMqQwiHauG9rrMg6mGyQOaqamw77B1XTo3rPbimL7voRHR2PcvsQ7Xg+O3GjHi66kwVSc3henTDoaNu0cSIbYpw0Vur0UVFIywqEt65N3qIhMQnKxhtAOm9hnSzFtMGGznXlDBUwsEqkXQo3fiAoWO1Me7L6LfPBUJduUr/WjqIAJRabhnZgwIHcneQbjncQw41pjJLzDciN5aBjhZ7f8D1fkbcZWa8pdKNG9Ya3UXtl/Ok3dHJESEZvoiKzDubmW/O79FtyRVEwvWJnWGll7mJBQc0uOebSWI4O41T0YbCTAthvrtQvwfI/Aw00GOZ1gEswE3IgJV0a0VSPEEjF98eBRb+i68Ke3v6p/8z/+zfu39+s/+Xqf9+/905+ez3cHlcVAUJVLOKU3nap6SDulZqyAl09cH9c1eH6f57M9mIYHnvHYI6PRSDPKlIsRiWW8EwxdvAop8RP/msytEYTSdmcgKVc4KaYtBD3Q6edlR3towhlfAU4GyfFXKZuAYkOPLOYAsJHOmNB2iAZr/UYY0KGzwnpG3a0ZB6laeEER6ASjiBh5HfmVWVkUbFUcylw/Kdl1n2Li667xbSnP/NuYGTfsKpgC6rxGTybnLfO2iuptA7EHoQZw8Vay3J4Z1I3V5zoF3dxmX/2isxUzmGckyb6IqPqvG21Z/R5xexS1T3awWWDUUQ3Ec6Z0BH6SCc5bhjOyzZ2bgJlRZoJxeu4NG+BjoIKpU2iPkEtcNK2ihyrHlQFGrDVWZZdwKTk7Ig/fQOAQ5cXa7Lh2QUA7sTJp6xQw6DKdLaC2SsOoJjlkbUI09ngcVBXAg5Y02OcNq4gLPhudRBE9GPAUDXJGSUMSHxKEqgcByUxSJaxTrMnEgrfjtwe/Hr2dovoUK+GuVLn2Qd0gNjUlF1QbqIQdOkyYhZlG61Go6XwTmXhezzdfM2szI3Fu7SJZCGAXYOuyOGCH+QOfT51vsYVgujeIhw+yXd5C4cY301CBryY+pZUik5W9qqOXw5pZlgBKlPFGQQWh5/kEcfkJ96C6r+5zgKnBEy6WIGT898JG0srVIx8vobu4LLvQNytpweQlPnbZg4KMPvJz2E+I5dz1lLopNrwDJUnxkLtBPLnWmcCxiT44Jj/nvQ1XbzaYGm8G5eKazLhBRBk97HBHBfRT33U9no8vn+4j8Hp+p/j5+fjhx3/24+/+t/77X77jZz/05RPwszOGReRVR9c0W+K0S55xCT07Y9K07AzjxKt588qqpvdeBQjTNX5yI0vAyY291dbK4HOrhXbBwuD2nmHLglojazn/uz5KIb1/likr0yoaBFVamyNuwLn960F6i29SDeEOknmJacnVRy/RgHXwpViFyZq5rR6pRrAwlpcUy8/axOXA1a9M5DuSJwgzYD6gSR5cpAq1068QVX5o5nwqzdPm1MqqtICv0cUinPHzq4KYya7ZUmWBcPas8DurOiqkDYqjOnEPcmylwMzmIeH+Eabpa2ms6AzgnNHDhO5oPPm8XKUOb20Xligeo+7e5JVasuXaxN59g6c3+QzmosXc7SARfWBq333DkbXkjM0JSJM220m9XnENgLEnU+VIbPQSqY0iC676qm4DwIsr46K27YwuxoWdZ/0iKOAKHLwf1aYHzXF4wkidiQvrSZgsl/tZWHIqe9ZKhbANwaxabPOfHAhzLQJ5JyE6FTOBdMu0kkAM+0CT3YN9h0aAryyMbhGsXGCVoinVT5A850tuyxCFVBC39EAzACYL64riF5WmJjhVulp4ZyBmBmSCnQFAbk5IkDIGTXnd2zuBAhyzdkJBSLqstKDpTs24EZk5zs3bozyeVcngBtHzXL07eTV8RAV3odLMm8kdScVTAD1OWyJW3GuetB1bywczBMzFrnSvWAiTMq4gQPFod/IpIrjP4g+k6tdoov07uk8x7V9n9pVI1U3NsPTWpet8+OP9x+9/+z//9e/+5W/+1+9/9/PP/vyuzz9dv/z0NGTUifq+sqF0DkVUAQr5PG6zB59+vs/n51y/9HVd3ezOt7YvRO6PSz15SIxuDqwk4oXyG4vrTBnleLOAU0r9BkDUqQz8hcAwscrDm6uTSxE1wz7mPAsbfeEaevqiJ5C/DXY8llnvhM0TJnhPjg5GnY4tL6udBCNnQF7asLQMa0iCyZvZCLCrHGkhq7Abw0YViYstTHHh/SGoyNa3P95fIqE0nNwy0fSNAbIVVZxHLvjcTCGl2RZ87ik6aBqKnsaFOXR0OnmQ2zbkk2dBcqnLFGQMmGO3JwwV9va/5TPpGcbkjABRMko6fRCLKpEclOgQIc49w8JViv58byKNEbF+AYLI5SE8QHsu7gsmgt+ys7no9JJYdGBxLmtcsODy7oZwvtquMTwpmQFmhBO5tc+DmDtvC6GFwSLR1qBM4kGoDCiukuYClInzAalihZEuU6yVCbE0UYGfIxOST+FNPIePx072PbTqmrWAAgTlYxT49nh8+aKvp74+zqP6rfTAQ/YXsdDQjnAhh6LUIN7EIwhmTR3TYAPuIlT1qLcvepxH/fDQt4e+PeqHU795nK9f68tbPcr1QB1QrSIVhyq7JRekx2G3MDMz9vUEnnsGP2dhOYgzWg3GzhOQGak7C2Rbm5SJuDOicKXuNgFgEdKwG9Qh5NKDkt+q3+Rvdf6s9OUNXx7+ciyipJ1TxhNpgzqS+6j5U1REwlD5ENtKs4I6SMNM+WXG415K1mpZgrgR2o9HVQ0PdSQ0BLMFZIWvRMCzIgvs8BJHXeq9oDpIZ40GyKhYa1bwppQIMxNt75X8iggLbUMDdsOfeP/wdRFtNJ7XZzfn86mv+LN/85vHv0A/+q2/nqqiWeChpeQa7+yRRUQDO0VVsgDGegCMTazgXpaHuXgW6lJT8TVllGDurPxhT08gzNyqjJtaWzq9wK5tB/JocoAT9/iu/F+PvajrnpqguzNEznl8Iplcq1SEO002nZq8lVVK7gSY3VCb8nRDQadmJ5hw8eAvSEG4TYCZ1T2O82A/1KRXIWbugzV/aE8uhpBcgcuiI5hM981rSRffuHkJYocaRajGBWFDzS/jkAIieT6/vrfGGrnixLv/xRzB9uYibsQnYLqolbKPZ/IHEUVN+qF9RdMDqpn548y7iHptL0FAtbfH7L+vNoHemisfAmk4DuIj2WoQo/WCrP6CKxhHeCbeveTLnMybQtu02kihtiyysXO/In71xk2apNdUGJ3oK4Y2XQv3JA6hAfDXSRbpDOqO1NoQqu3jV3hPJWkfk9sup/pKU7Qs1avvSKYeMIZzD8cJmDW3IkneNT9g7FQ850dM424nxHJNTc1204FGg7snGKqE7RrkDNWYRSCYytdL308iNbZvNnakgJe+hZ08vNu/taRLElWzlXFPys28l2CYFgX2dOo9mK5ey6WXkVqeRBElrm0+1Ec8RNrfrMUFNj939TdagpWaX1VBYfS24STBNQM2kndDzeXV6Mk5whGWdpuWiJgcK6Bydzg+Vse6BRsut0HeEyikaWs1zWQmchgoF3iLzHI/3A1gkipJS4W+vBRe6ObmTg/IfMchD4Cn3r/00cz44w//7W/+xf/0Z+/1p/MTPt7nl18+fv75+vzMSW4XaJcrwuIqnowStTzwMze8pq/umfaz0cPpAX1dg9FES+NsskTg7cR23+vNurj0TTbRlRY9lWf8TCanlLEozpV/l310zXQG+NVavGRMhHp7j4yiQa2TkDWVZLfvWTFrzzi80AfJHkh6jKwdGIJVvpN2uuasNbgT/SbB1TC7WYq0k85MImZEaFK5sFK5aZQqx5ccBCcHhPLrHxXFQG7BtCpZX4whiTURJrEYk9NgoZeU79IAp275IK1w4FpoDUbCycOcZCwGQ3CZoPvuhfNKOjNLjhJQttuEruh7rg22hEwdCAWjamCyVKjaEKHGAcPVzRbY3rMjA6GGt1YpAhwDvoOwViPJkIjX2o0DuOU+BzIuImNZapt8kZCiBsBpfl6rQRaDZqpq3KIItIcqwZ5bqSDeYbFwilRPGNwHZF4PJQ0JWckMTQQTqKpxezNcWTdiGvx9f3hDFaCHbDwKtB6H6Rbyhh6JoHTr6Mg8FkZ1vjz0w9t5q3p7UFM53iryM5ArcRMyP7xKluiKhfTWFXDlFeGDeQ6sYkM1o+E8higcP/B8dsPwPK88ncXOoDZGqMtH+HSPjacPOYdNYjKQr9nAZUj1wChecT8jeueIL/M3kvNEG3Ue49ZeZaKQmIkI9FKi0COXigCOQRbZ4pfn137/5fNxMNee/DBRw2YkJ0Nip5EgRThg0q1lZWuTc3PoKLBLrdMSEo5oD1xtDKfpOoXLRmS6tmsTH5A6zAlLSZ7fHKC940FzT3JPe0Z8khZ9Wcel3TnQou2gp62C1XS5L51Ici59vvvz8VFVpwqffVTnB32fn84fvv75f/XD3/3//sh38M24Sl7dVY9Zo56ZaCdxE9TRK83eQIxMwoHozUVGvNxMHo48jsp76+bdOgu25e/W4njYcu3FCCw9s5mzQS4z9XscvGaN2WTRDmJ1C2xSdnPL8wgqImJBOkqvpignrGeGxZUQYOyCaV9kLTLCWJFnN3AhS2bMIr0x0YujLoaT/kgeoDZNqKzmLUPKoKcA2bVeh4gGcglhNf5ZNWZPmxlmMURUWK92KV3afa+pZocTkML07eF5zZpJOElA9221XhaTYOBzm8mgGkYTGaFDBe/dymTlHN74hTHcuUN33eIWV2H7/oR9rZJGtidPE5EfxDMaDV2eT9DAV2jC3elFBTDBn+IsSl24Ll2+VBAGAA04CS2OrGBicUXoy8X7Vv+AiHq3WFmih3fhXdsX+h5Xla7PW8zsTbCYp28lWv6z4B52m2yCpLe59SI8/hUa6InLnHTCYmrV8nfmvYNJmJOouhToK9FP+TIy/7FvfQyzedvTolEE4eG8CrPZMIrEMsTNnAxgcxxzbP7O8DYNAnCbs32pgbV4rIzBYQpCV6THpuMGTXEY6LtbjEOO5oWp1b941XiTbILeWjK7eF6vIp3x9tO+59RhxfJYRv4gKDxXm5RfH5nreC0rcU6QZezcHd49vbkKO1bohtA7oKIiv3s+zY0kwM5Qmai6I/KwVUlxDOiSbdMM7rBgLOQww3lPkY8lKkqF9e0k3iUTpSSqwAycSsTa8dv1gccf3v71//y355/98sc//ol/9/X50/XLH5/vP08NSTM1M1ScBy35PCQiBStmPJ4n+rqeT398egYxnlYl7IFX2zPT6KZ7CV8OO8gPZbNniHJvow+NfeRFBqpQ0Y8T4kBFhaKP4ibIzABgJxeBaI0TVgEMNbNTW9qhZrCMy3jzwQICpa3YnBKwDI6r2fOC43IEBusJV0dscJYMzTAsniU7cAPazFGWzwRFYU6HiyOGKp2NhFkEIXq1Cuuaymah2pUpFCcxvdgJTNFdzqL8DFcV3VQB7TamMtwg2B0tobFBQ4nKyZTbnGzgyyyzmY9ApFlwNnHkbtt9Q3FL1GJhsSnVsjSoUh2w+EQTxUtoR2equ8XO148UYhqKknpmuvf9YGFSZKoLODsI/unUcIhDa+DmlJjpRKxE1AXiwZXGLyhq3qwmjYPgtWQbKAt95Y4Ps5HYaYSjqD0M8Mia7K9Hb+c8HkdH+Zxp+5WXEe86zR2GMs3VGS5lsv2JSzj2edQ5qgdUriWleKqmVBpUSoxTLlU9io/DLweHiTqrjLrp5XxN4coIYxFVR/rhcb698dvj8XYg+cis0a4Bm6WMIrkI6QEWqgpVOOWj/vLgl+OjeXvoNk4tfkXrillThjyj7uuz+5ePj8/PvmY+5vnsvq5Bt91hPFF+q0O5MBGYpy6cyI1tmL4m9s/UkDevns4UsglFNLXXN2y1tdkspb3gWFlIFkoLWZvExMKT64+V4/YQahJIcju98EohetR15V5txsHEIV3Z5LMpL1yJClZfBiVPw3QsJUkFit0jc7/DK0fA1lHIodE5dOQZwsl7tH/NI14sV1bPAeHLwGCeV//p3e/vcRvo+vT1Ph/P6+Pt/c//1W9+88++zpsfU3Wqjoc9sirNTgUXFgBpA76TqBXU0fv+c6WnKrIXvqXJcRIetkj1PuMCqJIO7s+dKKXVAm5Z1wvt4n7cAINpp3lQPA94/YIcAHcBgCXMt03LQk01FslE7AIr/I+QZNWLsHu2rpq4wfIDNa+PpHLI5ADK6JyHA3ZyyDaVHrfkI5XSrbkP4++bJARtYYPaPcQVvjylIdcD1fAmWMMzqeNjG41RLB8hjZFlb2olkpOYMjaPNVbqVYMvXq1VTjXouL6W7GEY2KXvvFqRtgPD5ztQkC4I8UplPS+TpLwH3o19ruPUjbWmbhuD7khsZ2In8RbGWh5D6pmJv9gL8GUubQjEbVa2WV3F2Xb8BIUY85MBtoyHtlpLvYcw4YMUnlvBZhezAop7j6Bm2gGFAUbomjVd5lcovVxr2658DcPJJEtREFQvhbDuZH9v/xgUnlRc6tsCtPK6B5FMDiKgTwcytNjGFrELHmKKNngIYK70LreRCHRHlOXNS4R3xtO4ldsVq35ajC0qGOwgNph9f+Tb7Z59lVsuvEm6MGpNObf1ARswdFMa6SpTUYBQqot0HQwfBkdKnqs45FuU5cDMRst6gMxZ0e61gDi7tK0tOqz8S2Hn8uKwaXT513qWIPReGTRbKT6v0HkXee+k+/XNHljbB+U/gCr54lsoMKmz95dYypU6LoB+FP5xilH8mnkYAjS6l3I6uT03t7gCO++DQ1dZ3z3Pt1/+9n/4y3/x777+l/f/8vHp6x/efv7T8/lLu9HonSZcUpmFepBVAHkkFUd+ksbz6esdz882fA2ePenoRHWLHRnAJmtFmHTfCcT0XoeBYBEUi9IlmfnVir2TFDVQZaGtez4lIsxZ8ekNCMy8qtdn1vkQJcRtjYacvjHvIg352Yo0i/UiqDWgbMjBYjVEFQsgJ8iFbBlKXljDzntNlPqayzTCygP3vyoEozi8ErQhFVK3KLB7OKy84VjjdiYaliE00eIGXzrNbNCjlSxPEahhqai+5s6TdOByxVmBDIgNBX6XczO3dSeM4XYZVKX1Si1VUfinAss5PJQmo6hGrVN1VBWEZeA4PNgMMLFE+9YvY6S5zl8zApvAdl5rguGNsehEmeYR41rQOJcAMEH9BHOKJBSKQ6veXU0uyB09lq+gyBQSEmNxgwckkqXySNsgAj7yMc9DX0pHOoUqqKiSCok5JYjiMHhchp/F9xUDAXRMUZ7IfkrgkdQqn5Nk4BS1iAoYRGEK0MMlF/HlnLfHMU+SJ0ZTqLnbHZiRv4E81Fv5h3N+8+Cfffn6w9v57devf/bDt29f3r5KHBRdmxMFFOpwQnYIG0oxnKF99eAyu3lOAKzdTCsKNxrVphULfn9+9s/P6/v7x/PZz7mePc+5dSqrrZbgw5KSH90UNZndFuIgUMd6nu0Jm+NIKUCMU/xFcZxS8mp8//Dzc7qDY6MmPXK91MPegddRI954WSJeBlN22fCS4aEV77qLdF+Axr2mkVQzHKtK5YP9d8gNNAIsdHjzIioEuppJtpCkmcatYR4ORBaOEx5Wwo4Hae7nClcqQHe3W8++tuegcc3zoz8+p9/Zo6v5+emGnr7wbf7wr//SfzlsllhgqY4pWBX2iqR4VpllEqWF7bF3TAyKC6AtWJC9tThJIO2XkkhjCPZsqR9nbADgUJP7UqJcvXGyALRMYUu8erf8GiEz5XlnJtx9A5y6+9ZWOUp/ZBzAqjcXjE1ZkChI3V9ylTAmgMHJa8lAIRH3ETWotAVMlCilivKSocYA3vCKPWbFrZcKFjQqU8cYFg6wh5v2bQO+sycnwUvi9iyJHjbsonKHRKVjVVITbBnnhfGDRjIXX/lLt3k7VVEM1N7Zbbvc8wACupmxfxoV7MnRhNggNGvgnL3GUu9G3Lc9YM0eut63ifh7XmbJ4MNpzjA53ZhQHwbwGXCzw5caH4ZCAx2nkJahzZ/ZieyoEANWe6JdCaoahoreFKVUHTZyx6VHQ2M72eCN8i3WcuY+JojoZR8kN5rESefV2l6AWIKZ5Aovz7gls4Sxa1ulffnNDZbZ65/o+CaW2rIhWlazjRIG5UQXArgTcGBX1uBs/EH6VtK4AqvMZPT1UHGjFG9vou9yO/rZTExBPn9Oo9AlY8tW5lOv/g2Ly25FkVijostMulBWl8Le2VSDcX6FMejei5c0ZvrOOkRjRQB32wQSFdwe4fcSMUIfoxnPx82/NSfK2PRkSX7l2BzcYd03KIPp9VoUg+zTTvjCGo+SuA/caHtSPbyRLFatqQYbzUve62I8WepZrsmRYasH1LzOskjUyNVvcGUf2fTGyDczp+f4kYVFUEuh+e359af542/+3eNf/9/+2fvj5+cf7Z/8p59+eX//7Asbhg6yG+SDQBUfejslQihfnJm5mtfMB+YT/YRpzTJvVzeedGOey8R5MQ+l0/MANce3GC4J+PFZMkr7wFk0UUyMdjCYPN673uBMx0OgBjmtPKgDDDFwRplHUDBI97CaDJLKVIHCXAseJPz1EojhTEOldSnwbmUnJ819owgZd5sdmRtmkhbXHq5zacucu07KjRW9Td1XRF5T7LxWdj66xVuXqqheuGanG+eSORAO2dmeHii6w2NPugBieHL0cP+jyzgynaz6lfl4WzHb0RaHcSs0qdb45rNUhRnNTJjXWotbvYiVOdhVKuBOMYtsz2/EtTDD3MBQCoFIeogGVGYvcDG3SZ9QUqpnipzC5itX2pZIJLE03DaCOUgpjqci8HcTuYHGCaGFDRTZnurJHsLqNDmJoxrb3XE1VwKNyRMNVpzqTD0bzUMjD2mlCWs4xOG6nVhjF1k1iUUBo3yKHDcZr+mOi25JdKOmoBPvXM3j1FuGFitYctOPYbPju6un51DkIazyt6qvb/r2ON+qdCq8cHva/Pz8fHYPYRn6OjMf3eMWj6chFMvTPf40ruc1dntaHidxhhcdG33z84zJ+KrdUA80F1gzz5mZ3ssNs7nJqKR94hjPg+oyvEy28Uzyg1Vs+9wq0xbYsIq0ccghG4WM/Oshr3e/t6f10a2YkAyDN3hKNlbU7rrqwmZvmTopuZX+3CbLM9TolucgIbHmXBxNcjGF7SsIX7NHNdAd6UUqvPFMVm9yp5C6ho25ST06hXVLvjpagi08UsWSnLkQ97oj5fKoORgeVs/g0KAa4Cc/fpmf9fn1hwKhefLzlPnBX373r//JDz89nv/ps+0+JLpBPznjI06PS33hcJ6g7B5zQ6nNDenLwRTX5GLlRjyns9D+sidAGGDfla3ugEPtUyNmvQ+JbOasdCpCnsAYWBROyXqGc8MZU0Fh4S3toRCreaBkCoxaOAG3xnGlfTnMeM8aSZmwDsv83Xj/b9d6DDBoQgkuSJOf42e0NaS8R9+AYrFGs9EjrLu8J8cobPKHk55wbTrljRs3M+gQOXcTght1ewQc4GDEioazx8wa6+hrjEYLm4ewFtPlerHX1eoLkiyxrRezUccDx/XTSx5PGKCOvDCa1i3pyUQEGECZZiUnbLaMzP3SY01sUFu+ISwzkkOTL3ZkDjf5fHKhmAQ7Q6/Sn+7jwmVXZGQIk8AVxRo7S6+lQD2B/OEVmgUAD5JoZ8fCWadIX4KlONX2XX0Gl9mrPaNuo2TNXs3VX9uUrld2I3JmdT3Ye2qigu2gzL3upNm4uK3314HwayARs0WWm/Pl4FZY4G3FQpveR8wUPduYApyGDtGTUnWbFAA80UFj7kp8QfSd/GswvoA7/oRGNInZbbu2t0F5Vem8TwGE3OJ0UNXX2ZqCZLDCwXR+zpxOIGkbta3apNZidPcptRR8B8ONFnNW6UqEgjK+MjlvZQ62rMb2CPmkZXZ+3moJXxWDE9hsOLj2inM0vhQ3WLKDgPUtNMD69dHteS5OZVYxuKWeYNJtKdJx6kKot3xh5c8gtY+ZX5DuYXm6xGXdMWfRFLIH/G3/zf/1rx//Cn/3p5+ef6z3f3h+v35+/44eoMAW2w8dkpQfX1QqDt7eqoF2YzxPzzXXNR4K6rT/bBLwGfc805C6Z268hO3JSTDrDdIGBRA5TU1XbaqRJUItwK+QcW03Ef5vbiR8zLFcGTDv51BKMnQuqDyAWcRoLx1xMnk8wbkNVuUgXNaVhLupW5+SbuW2COZUvVNfc2IvG5bDdcjxnLQeVIYBLENze1p4xy8kJF2rMN4sSySpPNz3TjKAGX0RdYCRNxDNzwz3sKYIXFwnQGhB+qZAkaYlhbSdwMM0LelFZ9k9iuXbASjwFVZoacZCh9YRC8owkzvO6m5UFGdUAXT3FMp1GbDbNk6GGVTO/DttsKtpJaatN1Vg+7VQ+mOktvYOQxwplJ/v+PXEXveh7pbYwQHlNHtYz9KstXgpV+DK0ip6IVXfCjS1p5RB42jxZP+qgvdBQWwCdOygj5JTfYPwFAp2wj2gTDqsEvqi5Vp6zyLpkjZrORc/nyzFHOEGHtXgcT/OOW+1Y0UNkrhqTut2HnbGZSizZgejL+fx9XF+81YCHieDENb0Ot9+gPV5PWXM4P3q7/38+Tlj28lSMVj1BYIsXU/D3VcbgB7uD/LmysaXwShzJY3j06IuD+b26rEWyejtjpdwovPAXvdcmBzGOJm07Sj4nUwKIAEQsFEbFPgcPj/745rPhp+2/MSYpFCzi26SMzUu03KFROKrFEzEQEbPDxkbolEmkgtX4DbOgRCK8V1A4DW43f9I9vWV0mK5+WzGwEMW0c0qtTPRp5BLrHHtxX6Xp7nyZm64+h7vPlNi7zY3cABOxo4AzXl/gt/BB/Qm98UPP+rtc+b740/f/t2X+X++Xf/pvxyfi0E3CRU7kSRNKCl4Dp8xDdYE0V3R7vA2At6R3bOCS3tF1Ht2B3Ac7Vz7jW5PH5HUGmERuMrPZrSW7Jt+uU+z9cBhzaqOs8xjCAWsMs3LiIbD3doxDlHQfU+AC7i9Gz5w6QLyW3bx167VwdRSKGcypGx6iHPBpSVj0dEtREwSZUCjK+NOjMFGm3A2aZo7limPaq+KwLVpljpNNgJtaB3xW5DwFpEMtZNtHTQlOzN9W6RbKN/Gwn1EGeHMFW8ohfgdGOlFVFeww53Rsf9Ye3kOItsItH6/bc6QMRUbGSKU1syRPlXg7LDXqYMRaYr23ZwERWLTn1er8msJn0UR3CbNJNJV3RSRketa3GfdpgbWABU9S3ogexKeTHLacCj9XPuLccdlbM+J+2Mbklx/af7zIjZJKLW0swrXHLvq7Z3jF9W77+OT3GpvjR0kE9lXMVV7HCNLzFA07B0qxmY+ZGr2OCLTX6XVC/I8acQwJfQaWHBPE1IlNlvmhdHQLO4QuETAFpOhZPRaX2lY00Bxpg7vqad+wRu7eqbMnbCW47Gv+dWTnSUhr98nHi3m2VqrNzNX8Q/DM1AlAmHmRiBSQIdqpDfQZdMWtEal9BTbNGBf+2xyUZIQwjjPjtAITE/EVYAaZew2GomhTkcjeLifKA3GxnHmDJFXkYON5hCI8lxYbac8gq+VuKJyLs6OYs5mFytCBi9fmbgco9JjcShJbohCD99c4DX4rF/+4r/5/b/893/58+ffP//4fP/7+fzez+dV85Zbqgd64zU+RH19PE7pGMbTVtugG/y4vKWwcIZ9YWjWNPD8uD49I/YeJwlLRidpYCGBnBbJDhu6KNfSXWRFRUpBmUlNDHjQIXIGcJO+sLUBkOg702iqBlMzqjupNqRLCnEOwM5W2KbSe3wknG27cAtDpkOuSoxJILwUDzFWTIgt7lJH4IG1lKsw6e7oWKpzVt+G1U1TUBGteiF8WP/QHZQ7jpn3Vs9FLN4tIUwfPZst45XHhu8DODySgTml3tUCnHRNshvJ+ORaCQSP3UTdc1pWPUMUT3rn+OKSgwazS2LGOkdWHxsK78ljTvgxh9YWWcokAazc0REPIBRMkdiMBWVWFNmrFAQk+8q3puQe1AU/QoppvWDZRM9WyerBA+MyR9sLkWmcZGA6i4AW2KYUykfL10uablBxLh5l/BSKImZwHawcYajmHMcqQz9o8CgL5lA992OgzI60eFhySeiwxIExZoaYFjQoCShOS8iAxAv9ZhKPB3VosmBecwknKywIqUoTAKFpd4njaVye83mhBH6i4hdgPcgZE/725S0Gpd91fzwff//Bnz4+v2uSsFlvInCN682fxPfL7sd1Ll4dgpoa945gf7p11a2Te2ZARpqm9dSNXcgxELW+PM15wFOcdkLXUoj1yhNCSmsyjUhwX6CO5OkxqzBPNq5uPZ/+bMy4ea1MwKscfo0c5Kx5nusoiAAsMwKhlYTHeg2uISyIUYyiuIGlgXFNQ/QQ7opJTyPgSD0s0jVj1CsfY7SAkxsbCeluAHO1hRxCg8ypmNSoK32DVdC87nXE3hkAc9QSzLI6IIfafv+86k/UD60v6ubnx8wDX/Tx+798/PBPf/e//vHv3MZ7HXtwjdCzdk5yVlwXfwgEN5wdt9BwOpLcvvAgI063hRWBhacUVJd3iD9hVHTTd+rGTVTODJPtAWZcC9f7B9DL9m35cfMSodvt+8hgMP7tCHznhWA1g8FeV2s8i4XkCqWCYnXu7sbUFnH5jGZK8QjD7EjXxlqwSFEdb2Ccw8vqtjgnDiAlEEmruVXmjpsl0EkYQu6ViAbG5pMVpDOcFlZJsom+OSXsS7jn4SIAG7JLX1TSih3HUuxkEWaZaYIx3IHbZhGNQXBskw0J7Y2NCNJsMyd0ZETMOJnl1lfpLWGivpyMZJDVHUdvGZeoRljWAExugFwrMTg3yArfQrO7BXAK6G0NeN+nkwUZxnflNquGGvU6RCK4XXo/iqgIi2/92fYTlVcRl7RyBZOJI11UIYy99mPux4ZjnGcyd2hLYA6NAAEAAElEQVTfSUsDwpykksYEIt0s31aQqc3z9yb6LRBeCVrwvQ0QSeS8tungNlQRbAWfilSQWL7FmZCQ/5WX1DNyakRRBhAr5lnib4XWNMJIcYFmVIDNziuPilBrVwBzzSLUUGrznIugS5IW7E99vJbL9FTrvhvK0FZbAe5qva0OL7HQwI2YLnmxRZEcqbljx7aNvmtUcVbQwxz8CIDuPdbs/aQkRnsajW4zX4Yqwzvi6m7e8jA1eUIr7pgXQ8Q05OO24KpVHUXi6vyibWSXJcLmEeWTCfHaAMjYVBfBKrCsQZGj6WNe4lVX95d//vhn/4d/yrf5/qfvP/3x8/M7ns9Ck2d0EvOocYusN3x5Gx2WUJKofno+Lny/nk8/G70OiPWYTPdgnkNfe1hgZjv/bMHiVie8+VOT94wSgYq6giu+BsYFV4ppJg0iEaOYnao1Jjp2mtTxIlEBZGbjZCpweAAOJwxrOnRMZJU2xrhSPCMsZ4ZQI+FbgKhHXmCsW8mIvdnb5AwDEZjs0g6OVmn9tadQeo3kD+jVOCRfF7bbvJM7eXWGO+T4DmuAxVvqYVQiZiOE185KwurxoXHtShzlgNJergaKA1kiddJ4c+weT/J5kyCfLcZQgK+QmKhEYvrdYTf5lZPfoED6IGtnI1KLWnlDC1cahHxu5NfjliElqY45tdguoxSh8BS0xHuEsMPDDlSUFxV+YwfszUQaMJ02RnGohzMDJxpW75UuTTrZ7Q5AMSMqEWAy17yKIF3n8aZiSbtBeHjO4aNw5AMfoVZrBsAq30SOwhQFB0HfOsrl5nPK6Eh1YiaZHEUSLB9KD4F2h5+eQU/m9SR4C07Uc+3wB6cHfbzFV+/pDTUEKKoOSRzhAL5wjLe5HsTvfjx/+eOPv//h2w91DlTSIUV9rfrhvP3m8fjt18dvvuoHnQJOocqxdtNpkTQ0Pe2JcDh5jSmhgTXhQuiC6ZmGoLgHoyqmj1QYFR6IGR4C26iO7sSSQLWvTMJ6Pj3GdeHZ8zkJoqYXrtBB2HfnTlwh1Tr7IkUTZqpKxQerqCrVkcA6SjxvpENvCeZZ7YRNWlVQIRtbRErjRFMPahK2Am+jTiORasKU6q1KypccyY/E99FErXGRQvs2IBThmSzgGA8oZ4RfupJA2pzhXG63L/el77/0x0d/gp+Xr6tx9Xc/n1+u3/2H8+2fPmb8BV+OgDcQrsk5lS3iG6gvllEouScCz9zuAdoJ5jFsqxKJ/3rgZhMvFhGHY3CKbT1GnRtHfSUE+C6e1ny4f5AbGEIvHJvDI9XByrrAG9vONp/MmdMLjQviuL9wwbjUVPvfxsIIkGv1AfmiIV+xe9XgMh/pzMLusiNzcRQaiWteYKdtjifJ/DNP9ran7vur3EVgivS76ZBNe0a+HYs5ypZzkNfLmAqaWyTRKKqCvxHEepJohmeBIzBJQ9wIkanMHYV6DRhkJRGHG/uZmg2b2K77OsWMvbayCDCWC8u334tqQ8CD8gJWBmNjExuXWSHGOBFApqdKGWGj5cq9NsTqY7Chqtzq8a7dkSaAi/cJcGV9IrJ1kny9Id6KWK5jPO78fIf46G7bkO9/w44XeLZ0xS1twFazcJJJTES/MbhjUrfQ9b4U3a8+MlaI3fskMrlCEfJsFRswbQU0huNymVU+5LEyTOC9zFY/13fwTxIpsQyElXws8DDAgtMqgPsFuWJgzyy9Cw6mUBmGbGITr26MdCdlYTueRNQW2I1SWLvotJgfvurIae2zC3CwgnlU4o9S+yul4Mrl7qYJDNU86R/vdAlgxwRFSurOr54OHz5pN2lAYT2i7eLaDVLNRn8gdBzcqV2RQW/D6Bdv1cXg9RObwJW5qsate0kHThLLTe7BdMePQgLnMqoydh5CEoaU/byt3ZLWWmQcA3T7DQQ1B0/Wl+vHf/32T//r83G+X//l6u/93u6BnoHdR8CDGjweb3h7qyMF+bA13WPzwvPDHFk4dMbFTg+ecz35fJ/5HF+M6AbZ25M0xVVUZF8G5yChB510ZnfAfmDbI+Cke3CuEm9W8MYDNAfTbtiFSsubM14WxFmwyR6jArwUdtIU1KQU9WTuE8YO1Jdd8KUjD9E3w76NQ+rWCJIHUlSnOWgHg2LBaMzJ1YD1tpt2F3nHhgUfuyUmNDANbVptTJHFRQQ6u0mZlYBuSX0twp7qsNG1fjN7J2tzT6fEmKn3wUev5oxbMNVuhRVJxK+dIQz2XEBU7dDqc6d77l0Hb2qdC3A1Azjl7g38Ny6tSY3BuhZdQdLdFoTFmpQClMBi3aifdqLCSlyw3EYYbbBZujrGN8eOwXhH8+fEBjW3ftC+keLFO1a9QA1aLGegC/ouJuI9zU+eV+qIymcFgj5pAAJ6garRpt4xMfZJYai0RisGU7yaGlbZyuzDW6poJg8027qgkQ+TcOog8es/wczomoAw47lcPA8yzk0hWSNBrt4eestckFBqPfpCgxR0mVVwSR5y0LaL7k9+LfM3X+aaJ9of12DRMxHni7623vRAPcH+7MPn1YWO4oTXChkUnfYr35ZmR7EZ94+smmneqSp7T56m2XOISwLY6i0lHetHFkguzJ6UfJ1heNO9U60yCJi5nTYkfkuAgAqMLJPtO7ongik9GAxoUugX0oWpHjMX76uEDowY0Y8TgidMR2eC9b2J5eu6bqnIygKIuTaxpWY8LOrCoI6f91VrGBkquCTaADd0ThH+dTbMLrstTDE224qrK4NefUH0x2efD5+3c3muZn/4fKD/5qe/+vs//4//6e/nEzyPmguyS3BfnXFo+V05rABH8t1zi1nDT7yqEgJJCGR0foryIhs4auAVh22E/P1UjIVXkxGw3zV1xlbqO2hlgAowij2XQfaKqgcSmqxha2ub5G1mj22huoap0NSRKPXNWORaHYIzvQFvYaRS8YLlrepDXuTinm5RSeJI9kCKpeUAlmZiFOCG2XsdRTWCxs2Rb7O6iI63nI9iCVd0ZOtZ3fIWA2gvkH8EhCYI+CZYOuLarDB7OkY2JO30ou5/PVN6943AWz57QQq4YpCB71rlHh4K27hHLmPu7gSuADe5fbx1mtcJEl5gubiwtdkvIuShbklNElCsZOU5HMNg/0FEt1HaE76TJBhsNtcQsNPg82GDWuEOAvN68TCevotyrbTnjhZa7WSoIBpQcKNtmfO8lV3gF0i41b7hBibJNkz3uF0KX4/X3kYGvIIf5v9iVVtDcHqZLlsZ0hchpfM7kz4Q/HGgPX2IcIozxgZTZAtvM5llp/uyzes0XrsoLlOmjcELjEeCyVkExd4cICK7ftFgbt2zdE0IKls1S+szEqvUgmOz1pOxMrw0k7sUgkxYgwUG3Vj6JuQTGLw5P2J+bfjRDJGK7fHSZeyH3os4xJ9r3RzE4Lr7fYyQaNPwUXnBSZqhnQzZJeNXf5jzoR67yCqhjZFl7Rde4HE8SHUnFKwZRDWY02dVaMvpQA5m/lKRA7E5CeetPJan8dnzw1/88Nf/4ff4zfOXn3/6+KPm8xhjdvlbb4FGAI+D81bnIT3EbVVbz8Ennp8eI8UnwAH6mm59NnE1PL6A5sy10Z+dTZ3qLTH8G7BDcZMtOZG9GQIrMFtqLnpqQZ0bAcrMtqzwIS8kYmabZ+0LprfpC2yRYtWAJ3mdgejGoIfTiwDDk1c9xWQUk6wiwU7cLEk606QWScdGBFCoSp8xc3bdcV88gGE4yCVEbciQeH+uLAPEkk4bmZNEG6V0/GnoqSJZB1lvAKjZGB8IUIUTSvTk3WpaWNiAIir7DAlKTZMyvaQEl+kOHF17YK5uc6+DnJocuClCsYJFYVkK/Fh7BAMZjA1ocgoZSgYEmIQfLcoEJGRknERT3FBCeCGIKXuI0HQst5PJuPoAgvKGbuep5phO9Z2wVOJmI1bWi2lMGXN11pYK6fUFUqXHfivZYEEQCFXzSETmuD0OzkEVS+fLqUM/jg55TpVQqIoHFMSxSo+M5jaPK4kyB6z10YVGovaGpClPb+jaWaD0c/x8Xm1f8C/N90Q3+4QE+/rAl8eXr4/69nZ+fOgH1qNYxZCLF9lPZXhMaEcfWDhIJNV2fD14uH7/9e0reZa6E0U9eDhfxK+P89uvb3/+26+//cqvDz0OT+7fHNb06uTSibcdjCRLa5Cwr0r+6DaOgTJyk0iak4LErzLqxR0x4vuGwB73Zbivj6t7PHNFL70m5RyWnPu+YiRsM63xZhya2QKnZLMgUA+VyCOVeM4R/dCjpAd8rPIwtd8I6KDhBsgOSCBMeNJbbU2/nJb9qjOz3UzhPCBlIkQWfXodpj7d7A6xZ9mN9RaBSe5aBXHmbY08VE9MxQTgucbP9+v7e38+35+XZ0YXP3/y84c//eHf/PbP//a3729PGG/1KNF1Lbi4TW2uUgYpn42kDgits3r1DOqmwdX6MF6B8J/YkAcyiZpc4I7knk9bV9mZbELfZwhhohF2mAgCi1mp4utUSqA7uLhm7OZammXSKUQFj62j8vwVw+itIMgXIxXlYU6pzqjmYBIMKo7IcCb1WoMlhinau7hWvBZMIzd0YNkNo+PNVHh8haSIzn6GbXTyF7fTwIQOuXMXhDHC3N46Gd3ppFtcpkS406tSsQfYse85MqaIEx0Rlo3dNpX3DZ4OevD6rgn7NzbBKG8o9w2IC8tP/1rkZjQAY9lCIeEyUgV72hOPpeDrrpcg+yAGKAcjw6vrlGLFzyuPcyvyUi6sh4BF2wuBiG1mdUMppJywjruTM3FnBTE5R2u+TWeNHUMe3mmBZF2+hEUrmd4meWpLOcVxCib5JqMpU7d4gUU7QaVQVECrF0hNHoh8i9pA5d4yKpzDXb7FdxpBPbdDMlZzPgma5c6D4NUzaUwCx4XrsIozrlIjaVEuTieybLvwAe9Apc3XA7ODBLixfyfC0LvQFqehNM65tGfr+G3Js6ZrR4fsV/H9pTH38Yol1YwMGwVgtkcV39++wah8YvmMicz3CMDVJYWhWDEyVoLLwVTabdwewqwhn22W7vUwAiH0TERu9EQ8HCkmTGfQVLS/M3BK2hzYEUsGvgwytiS6hvDYV8pfQQ2iE2YZ2yNhx7aQZsA3QzRQBu0K7tkckT4H/+Lf/fkf/vUfnv4v779cn9/r+fR1dXTIQFVy1MTHA1/e+KiTXmqedrsvPJ9O7hOmPKGVMfBcup798TQ+c2Jjhso491vrgZVeFbBEbbpNSa5JFM3tshbBJKbsfr3Px/he0JnHGLVf2vEJXGeCyqg/hT+aVAwrycv7DW3WRiVygzE6/XrPOO4pR+fdN85Wu9+jYCbG7FgNQMm+sLMEYVqRk53BsIEKlYStlRVGIdE4hWmgjQeTABYd4b5P7fYNLbxK0k2jsBMprnuWzIw3ji5o8yRiEfedFsBJW1wm5NymA5NlDA4ar2Fnq98fi+s8g2zXKXM8Nz6/oppgjwkh5m3EEtF5n3HQDFquxQlRXsjSPGmS6B1iD+agKMZ7sCIq7AFGJZwG69ShkIQfB3d+8U0by5Pn0EaMW5H5XbtrGQF2kEmK8EHyv4P0CGVdB4cH7rNKCAQHkA7lcGJxrRGbI5Tq5BEZ1xDxGIUzFQ41SEDsqNShv+WTxskdXCCDTHgPUolFPaXOZ0YltHVwzQ5/+PKmtzolA6h6RFdSZFEYUDVjP0KuovvUgYtYlTox02YsBOS48GOd3315/PQcu6+I76bFN2Jw/M31qHPA6ieuz7Iu9xNE01NXN0W5shyDI0WJRFa7RbbnVrN2e28KpqJtWeL0kc2Hpwc3EeTLqJ5Ig2PU84xsN+da9NKMp0Q5MM7KApFfSlctCb4RajoGbzK5FqkpAqwTO13YqSQMhCmpJADrLE8NeE8jm5zM02PGnqAjJfZGPm+6BNqEJA7rpLv2jKsx4YBTri1k1bqBtOwOxzbbBKYKbbDVHhasoUvClbuqeZn63h9F1XX4KA+MX375/OHb/P6//fHv/+Hn9/+X3/pLyVe9q4VhmyxOQ7VieF9Of1ODtgPdhoDdYIEIEye37YRPY8ZTZB169dfcnb2hSi/VzuQFcUmswH21MN5sQ/e6H4KrpwILoJBTHA7RlJApMRkGua23Mh0M9MopS+ZTajMbLG4xZkxApUruiBmv5eJJ4iRQrRnQMjgxYaA5tQlp1vY3wVZF2BFszA3BbRmEaBFu3dN9/qam05bAES3K7lhC8olG937wSlNTDMdlcgtfcyskkFDLxhokLkpa4cJtBbtLzgROc046vR1rGqnEdr8WFHGQMZuIlL2QND9i66+XYqVFut3JR4YNR4GSteA9tLEanZWw8EWgh2wBNtUz0IXr9rft7URvto623tr2WpmF41qPBl597Z1Ql9ol6yOkxoobskiosg2XhZc4NZjbthdSqTydQcobSBI4J/fPnX3C9bg4qiYvMX5LI5aAyDEa016nR+9cjaZ9paRMkxKXVWpVSyyqJ8VDd34zhzOzVNLyW0kiyf+D43UBVkBz67SYYi5zenbJBzvPagiXUevkS2MepDLrfG4YP/8o4txtGfYMYXuxC4MLBpBwe+vqbJQgaynm0/HyVlLMDN1mCT3A9oL7x/FyFkWk4VA8o+TM3nwIMrowQMP6tho3xh/KSOCMmXwioJlp7e2ZXzs2RuS3kzpDms5c5Q0L8kqfsnG48ul8pRwCmsp1N8AGYNEDnlhytJ0J0WU8QR4/cM2lj9/9qx//6j/8WD/g57//+fnz9KBxcZ6Dx7NE8KqB6/HA44tOCYN264lpz4XrcsRr9qE7I+gn436v6/rEvBvXAOVu3mWq/Y8ONKQQzrPnTbJBQ0oTb01o3oXEsgki9p2eFJHwLfFDVmMjYwqwob9BkhuUZU6t2iK5SXSj6RpQafxGBJAJwDcugL110u0DRaF3Dl3ixbJmkoTrTYRw+q3KQm1CnKnCVTf+PlmzM52EHVaskBEjzwxRRdPDRERaZAPHbIUcHEVWudiATCcawAblWrAm10Kix2Mw3uNEK59cVfR0J1ggjQfRs1oQLMCEHb4Nky7icsnwOnW141iD8yyUt25Q08mB1mgBTbOweSKcKNUDVdxWZKNnfHQQWndLC+gW05pG9Ljth3QtYsMCw5PxnjZ4Es1iY+NK9AxCujhVZJ/oTPkk00ytk8CTRATSOkz5/rCHfrA2oZ5OQtaBKdaBuNDtXt8hIrynE7T2vFo2P/4AAx0yALrlwkh8qA+U5OLK8EtSObIBuKczaDoJeP0QOeft1Ne385tzzgZtPVMnNevBCPNsqq/URTWPa1iHZuXX54YlZk5wjr7qcX7Dgy/PfrcKlzntjSkfH1BifflSlJ56f+/P988QGR8YZSbvXoN7SSDhNAQpDxJYMrjlAw2TR+xxF05G2UWtc4PQHYnBLEaRu7nzVPY2QcTBunMAAFoXRhtweOTxWhbJc18vqSWKgkYNn9UHOeEuaEr2yh/mQlEGC12DKwfGBJ/eOzHyMdDxd6nFO2xxA/OWkIjLnBpeNUUEP+Qj0gUrNEOqJxgDFvviVnfREoGdfmISnlMkwWlrD1pPt68PfBw8Sp+aoznW/PJDf3u+/fXjL//tD//LH3/2H7tGpcelvlEEg5yo6HxJ0GCHeBy5b5vfDjUMqrr3Y3vTPOJ59Qyxn3YrnrsYX5UwoGhY90Fir/X0+y99zADrnU3lOjOHgX3EDUMPXGwkHiOg657vaFCThzqrQ4wJMHdWDB8zsa8utp1zNwc21kkc3G3toosQRQcVWAJC9SpRU3vtvwz3HdCe7zSaO/GRVjMStKwPAPS0mU+avXQDo4mg3UybSDtu6Sh4n0j3E1wKFamXNoyCMIrs8AvTLVdmbTipdlouOT+yQ6He5WmwsWjDE+8R4w+K3CcdzJN3eVaBqdMxREKUZ5FwkWxGJZxgU6QWyAJCsyw5McCsisxbnSW/D55xN+aKmGhEJtMS3AhN3NcBVy4QzxBym0ds1UzxtfD9Cr2CeqXI7rQBt6yFa4JKYhbL4qA9hC6EKFmNzwIU8ib+QUbCMqK80TL/gqKijQQyxHn6wnA8qy/KKAndCEkgkYB/uHUFy0etkZiBS3Ntv3KYInDUDt5kxrJZnEwoAe8u3Gvlm9Wtb4lLs2KlY+d1Ey+UGoaFDlqYbeW72cwbIuCKs//mbnSLkBFUJnXx61VheYSF/xDmyPZMBlnMrctF+pa1RA+SarTVv9ZdeNcxG0G1DW4a/kw7e82/o52NnjmNjNlt+9hNHuK2kdfWuDmuJzw+pR0nsR4aZ1yMqCkkpzp4R9YAjXiwptKOryApPo22O3/Ux7LPFIhP6rf8J//D44d/g+8ff/z8Bc9PPOdpQHgU1Lii7Pry4Lev+PJQCUTLfD49DXw2rxFqHW0DP+2n5vL13s8PfH52VJEzt4pvMn16NjJr7GF5nfy745iZE0mJRnHpmSnk5ub28u7LHk9fYdWSTcjLsCNbhyGyCS/EIhq4EufBeXVfmTYDZGwP4mJdHIJ0j8aVeQN5ojnQaIc5iEiAnigLwmysm7LWjR22Q0bU8d5k3WW849BxhXhbFEGIRs8wJvUKGbEURNxlO7e7noD8PgdJkNm4i1nsLDWfkUPVe+YCh7dieAAO46UZGpNICuK+orNOs8VyzeVkF0MJUtS5q35jJsPQd6yOMMl7wZa0YT1ilwCcEaKBKYIN0NiEihKtOycREFzJlJtFHABHHeKkxa58b+OYQDEhz8i42aGbzZvyH4yHYbkngWgN7sCUe/D9TmwhmMeziAzOxAp8DVa5hOEIUR49TAlVfLBUhwllTcIFICnqDmpUejubevCosz64wQ0hm5yjY+ygwOjjAohyJLjAMKU2gKf6AiD0EX77qD//4e0vf/jxDz++/fbL2w9vj0c93mTCD2qQoFR79LTbvuKXsa/AnkDSBwYwe3ga/nb4w9vjN9/Og/VA9FHdMHUoVemN8/WhP/9yfvu1vr7VESU/WMaFlabOmJgVwGwJDC86Jz9oHZB+HD44RZzCF7KEiJceR4ddJpMUSSVMH7HAadAYvXzXStr7zu2OCKgXNtQMp0xCNCe8ZBE7wQk4cgEnHdee8OwVwq0XXqSOK4I7E4BWh7nag9UzJUox4R0dyyUAo9Le+n7m2u2LOXQB522qWB3puwgWUfBZ2jK6vxyv0OZu3T9uoA3QyRkWlZ3HHOq6+vmB98/+/PTHZ1/N95/ns9/x7f2f/Jsf//xffe3Hsx+Z1yuWIUyCC4KozSIjGUKyVSHNuqcCbL2+lXuuea5gN385+Svs8bT/KLCLJ1X1QsHjjvwzNw/QeaURU8CjxXexUxRXNDozmZ26ItAt5AIf3TprWHcSTOpl3bbLVBKLy6bTFO/rO/MH7nhTLlI/+ZhupAVw5/zLAioPWbaeM5eNIeZOTx5ijF6hFhit65oo0ywFUtjSxFjAcPa7rDOIO/tpMwwgrApUk+8Sw0pquJtSyFLK/6xUB6pNLAFsjrvtyRpGPlK4l5ncaxlcEiFTtEK+kqiRrpDQK9gy3Jix6cexWq3wiXI6vxkPrvhRI03MU/GaQVK1buCNU0dwwXLyTNwbIJuu0GcJIiTuFbvY+J7vBJZ6z1cMS0Ato7FXezbY/pcBC1wj/rJSWuEHOldfiuss81ARd/MbR0bwISFp1MBslrsITmQEIPIVEiuvNClOseWSxhhOMT64cGu1V2Ky7O4hFrfSKAcWd9BA5CqT5HCyEl5rYzt4kFTSmjZgdHW8czstcmkB7Wh4bznG5ovOryOyZDaiWV7Em6vQDV8VcBKTvDEnQGTFPuO0nncdsL1szdbzNGap/+3yA4lnbRMAKmG324PJkxEzec5eWM6dI3YMwcM9m8K5MVRaarXAAjdxwruPXRdDupLAGDOrTyPVds1ELTBB5UBypgmpczpsywReoG4UZngPI4diIN9ZVKnJQDqxZIL7YVbNT0Ljb/7dX/3z//7bL99++v53z8+Pej59yd2Gjj9bmOh+v3yptyMOm9MAnnLbM9ObQmaDT+P5nMHzc66Z5/vli+pU5fR9iSFvYRxKl6CAjjRfvuykqQBeCbIqkUwM+cSz6F5H4TQ0nxmOlPlQ5h0oEM3HTRWjDd7xxDkURyhuDiTb4ECxF5jjzgJOnk2Ne5mw5ECklG96e5JsPxWnDaYMSDkT5R+W2iIW6E4xHysul8zHJncpXG1gjyRr26869tYlxlZPA0pbB7AeoMtDssWJEi27QNyxwLs4Ut1lWI2RMD7QuKJRcd93SawBGrq1SRkzSAdBuIGHd85NLiR3WtZKihwNd4C6oDMNL0lZiWieXeq4dZYeQda4BRkFXr6hzKXFlixKnTjxBtpb1uU8bcxxPHxrOMtFEhQvQwzSPAGlts9kP82gktZX6EkJx6ariZPFJ9TUMFOtSBtlWif4TYOP23FGonhLRkFMIk+1AMUyvQUOHliW/G7WmYlLAGrsGI7bV/Dbxf63YzV4XXO0aksYrjYfYM2cehR+8zi/lc7BBam+vD/7IV8NIDmn8AzKHvT4Y3CihpELpNSmgaeShFsE7Try1/ry2Zw3/zJzPtCHurqFqvKoUEcG+OWt2pjn9fHJ8TxcvV7digYh5XKvzkXGRKIV/pzSGOexQ5/QkMqe0/4EN7/Bhs/0U1SUNtPcQmuuVz2nawMIh5bi1kqFdYe04JbXZLePq6oKNb4MsYaX0m3lSKi5Kc0AnpbRbNjIRXfhsePIpJoZYyb3CQYVjsJQR9yRuoC02/BsMV2RoRAPPj61fnQJhji3aPyYFxz5tOGQz50SC/Hpd04FZjTWwGhMsdqq8fNqfud5ZGTIE36rz8/D59tvf/uHf/Wb/s/45f/7OdABGhlzNm4MUII77CTmCqQNEvcYJI/AC9jo7ygP7l6Pm06DGzZOb7CYAJCpW5EbvoD4xCusVCgNRQcF5OoObA8njTuivc3RfX8GvoJJcsubr/1zcwr7z/iqBedXozqAW/x8kxFcTWYYo4bd4kbrgDa7UK6FeW8UMHiYDF35zUKPC+oAytNNH3G8X80le2nqfM3EwGw5AwuezoO1vQVbLhdsR5XHz60RwvKtbMOIFWGmuC0POjz8apoNNiaDH3fHrujIK/HK2+Ra6uI3WCCZkwfYVM2qKXpZRowyPnRvQa3QM7PRFpffRsY88yv78GqZUlslSXO8LNL+U6T6NlHYQY65RqIPVqiQ1ayBxMBJMl5gHapyT0DyVWNt1Myrk4wClvsAtFQcQtwbZ7F9GzXJG1lDTBZy6B1wifwsUU6allxa5BqYchFgBiHYE3cYSFta+dv9Wme1u4yvWwnpLdb2cJ7ZjhVJk0oHMtx2qTIWoU5sBqzRxUlhUVFVYxxDzYSuyU02ZzFEccdCTYju3DdgzbR05/3U1uEp32aDZMGJtgJE3Y3REgT7EnF3ptsLO53L7PpefT0zRMtBSPNulpEwb9qQGNxVNah9TfsJF2fYtgQU3TNRNmy/hlCRIdxneb1tnZfvgz1WaQfPJP/Wt0g5qzNLu2x3Zf8Od+cqZ3pShfKGN30ZaI4GV/NxhpKuaaEtPAtv821mvvOnH/4r/v7//E/xO/7yD/3x0+mPBvB8wpoe+01z9I08pw5LiW58sn/hx/vn2QilL+PhXD2U8Wk8P9Af3V24ivuYZ1ugbR69Iw3opMUsiIw0CeODmaOwRTSZ2YchaFMJEhbQmCHO9t1Lx2x8mm9KcRwdRXM90XfEdsgYjEWMXKhbbLazvykRIrvThKb731kUkK0nMxMrfV9aW+cM6BwhkgahpBetSdRi1lhK0Wi+1qAFMvKX5MovZugMi3pRcgg1qt35VS9JodWTdRTAvcjPsUI+Zgra4HjuAAyeHGtauVsBU9n8GUCZS8rdyUDZ6iwtDcDgzcR4ZgqlIJiyAvlohIJcnCL9bAoTZeeQNcu9cASR12R/q4gJPP9rbGBmg4X5Hr4U2lZBZsq7hWyiIHxZv8Nyxtax0lXx8tQKDiJKGhpzCm3i8N5fuMsYKDPKYRRJJDAJxEoyA3/k4AXL7alO0uzGo98fLxkWrAtt6gxd9jrWGBk3dkL3BRZfTVTCj1DAjE8toFmyB5+eY8Fokj2IqMrnMc+3qi/kW/Ek9717yGN+iUkE/rwyFIAQz5WBLPR1XefrGwctPti+YBZqbKHshhJQc95O/9mUof48T7TntLo67fWAOMlQUlnXZw3U1kwfMbPe5bGyseRyOYG3Vncvjm+LetSOFx2jizNzDVv+0vO0SPXVp9xzHE4aiA4ibVJHbLBiJrZxWBeey5+fZPReuSHLQ6FGPDlJrFFDVAfCQmZibEpeRbS5919q0I14rp1VtqLAvppsHXW7clQFujbsDjvqAIBDsCFxUotNgGc+4aKqnFtBzwZoacV62MD0O5ogbDnNDOpa3NkzgksYgszl0C3yUxfn44/P+s3DM7o+3vT2Ppgvff7lefwDr599/WcCeJLC1fOwOxwudDDrKfCOnZL6dTTOGk2D8ac3gDjBSnO6ibh1tZtMEn791LiNjZs3Uda63407U3OUw1jkxLsKNXl8HxYYJmVrBfwJiQmKF59V4OLbRnbTFg7OlZlLmNt+GKLCXKJ5XHtoLMZHw6wmyMFkZlX5dkxiT4tqeyWujGxZ2NFlYW4wA5b6Cn0JmfNc3e2OlKThjRILMGCSHApuz0uIOTQsCzW37yboXRJceMO7ixdHLVWAWUAHyLmPPG9mU14GZ1btAqVY3Sy9RNpoOmqWyEdqFXWIxJxcRmXke9qyeSdH7ghl9lJa+ek0p+eEcLjrPyuJZYnUMmDXEk8EAvOngwgFsSgcnBM+HfwLGea2kw2CLqdzcuduHafjLG/4ZYiiLfazCPLffcOGuhJ4BGPH287t92ewRbzOJzq3Ao1S7pC4z2al9NzmmLgTviKKdg8iDhpMsiFfJTfurrpQ49XqjTeLAzlb80VzXwVs5UjI2GawOMlggSc59qq6kCDpbbzhxDekOs5HWb0gFnHbmJxMdoitJ9qY8P1RSqbKT7XRE1p2ZfVhIUPKuTM5vtcuGGs0Yd+FJsIfEEz2HIMCmtyPzT0HUPTLTkTfkfwmVrue6Y8RITHqIbXnLmVD2Af5j0RN+Smh77CoKknfai0aaR8juoo7M0NBLLOBdVWHhkpPkMF0BuHK8OkYRZU/p0nuCu+GWzaqVBd/1hw+T/1Yf/t//Ks//9/89qfn382fZj4+rpHbrJrLfoIYq76UVCea6e7pJ56fnzlTOIlcy7gbP59+fnZ/aC5gopmsvgImRNrVa9WfmRxDSodg1La/SuV7iEzbyUvOI4OL+IxUPMPdYMBzIZ0RwrBET4Wlc6RaWjGfMrxKVCLZpLMofGQDuaOCGHngKqKpY2cBL/puUSMo5xdsLAW382yAHh7NjKTMfFhqmYs0hB2N/jfsJF8bJA38qjIHRmnT0ORlD1yiaXdMlBiYU2FPPbKiom7haKYLBJlhQyt2NIu+M8jS2w5hKOa9nUGIXeTOkZyb7Vd5xtJcgxWy529qr1DeR65IoXFKXpmeGS0PHcvz7FV60cd+kg/UIARcKIU7JlFTG2sW0xaGrUBQ0twIHZ28MvNW6Qm2V9fqcUnJO1NtZill9GQg7A4bv8PRggBEwpkhSxIwrqIixiJmXHuZGMM6j5EF8IjA6P6QEMtju4J9g5grjikNunCWNxQh9HKjkX32UkoZNyYM5J4DjBgZO5zkfxXhAkS9nce3L/r2dr6+fTEXDukM6oXOFOiPuYx7snb3iEM8r6vrcUR7KrxY4Ka9CZPVA7keb/xBMD8/u642IbKIdsfPYZISj/RWpYPrcifh3N74KwJGZaMFUXXUICiOBzocSrFpC+eoXXVdPY8nu4ADfkIwea7PFjnueOAxoWs7gBZmr0AG8c0q44wOE/cmWyrS5wgkH2GFLR6XaXjzvKJnTgvaKMJHbq1RMWMYYzXieHMBinS5Xe1EGPrKtWCjlNQqXNk+IbbiYNVitpOpjJ1flRE96SqD50mlvk1vaVgWQ23e6OTadpFQwMysiawR9tWjZ/v66AN91vX+M7/oK39E/d5/+Js/w/9S//DT+/v7FC7ryHpm0LDJWz0CoxwUIqhLXL3KjdWzk90DzE6lJUlNh70zHfC3o9pRsszpRmBRIFfzCjnikxlOzrdJ8OkN3s+aQLdsvTt2pwVZ7oevow3M/JKVL9yuVyXxIOQyXpcOftUNpSbEDeTmDORqYpYFfk0FWFb6JFHfmyW6WLUjkrobgeA3K2pJeait5LCAqZipHrizEndP5Qi/53OtSWzwiuHNfwkCGvY8ug92EjLSKhPNpEFYN5yycGoMzjfMgr0jCXe04ryM8oD3wJixZdxSQhBmQxqLM738ugYd8zTvZjBEbfKf7NCiOIurBMYCp11FTqa3A7jJoLsqx1pjtm9a522iU5I8mTLZyQeJzZXBsu7744Z/I7Iw3Rt6GmNikmz2MWCPTXiGrsmYnK0vaSR7mtzYy4WudldnX2DSVqRBvPkxBt3e0na5gHtuTB5tbQebNjJZJVsWle/uOhpz0dM2rS2t4NhH8OpGsBad2TCy9YGQjr0oQopUnFgZ7WYsDHmEnN/LR4VnI7FpmF5+Mv7ybNGt16NKQmR9l4LCkcBcDp/FGLpUy5REjYyUI+kFw++RzoiEX0P93fT59Z7fJg/5jNJEQ471L4OajkpTwWENuDLxHECWSGxsmzgyw7p94fuFU4nurGjkUs4eqwQWY8+BGdVOvTemqTXBD3A7W+WO289OYLi4GcQJ/5Lk8akoSlw/HPxckv/wtz/+1f/+d8/f/bH/fq7Pmn5euFrA88E+nMbBA8ViFebyNX5+zPwyeuIy1RXaupOs0f54n35iftX8tDuVbMrjWX+2AZbQ93hWIwFRHCdlO03VrNBj9tgrziz+Hr/JTGTDuUjCBcehMQ77FA/RCvxmbSCJGtx9RB0bq7QkxzsH+wYPg+hXRkL0FqCIkO1JnKHPtpehU8OREpzKqw7KEVJoiFO87oQHZmSfVv88Jg85+3atK6Shkdxl1Su+XVCvcWoFs1pL86Yk4eYmB5YrmjzPnk9tipN0peXJ0nSGWACXgKe9HCmhzvWVTjbGr/amKIFZy9tHJ0J9Mx/soR5E+g9t+NAk9/E2wi49X0VjdYJds+cDuOgUmjghtxyQPlv/HgkQwVBW1GDYHCUIw4cajcZxNMno5UiC+cVin6u8tQpa4s7PEcucmDi5TVa+fG6EyhtIi3l2GTRAPFzTBCreYmB1WC67a9givJVnw6JrSZ9Zj4jTvOCajeRJ6k8bw1FXo2vcCd2oAFGOhiXU1NcHv0hfVCXqcyDgcoCyy1aBPWTGJ5eXGzmXn3XxvST5HKak6z2eTdCToaMWi9RXFr+8ufnH9+8zqAfi381Vkqvu8DzKFurtAfSdrrxbJ9bKhXBB0kINZlx5PgWDripu9N1UnSf72TlS8UV94RAJtBhWYLLAMh0Qp2djuzyUwyJy9ZkXJAo8RJffdNI3VzRIdoHPUqS5hbLdvDqWEvnCIVrx5QBv7LmIbDPwrTU3izdEcRpWe8hiDWY9GMpBIwnxPOGOlA9uyTFQqlhCPG3qdP7M+pAbKpfnWn2TN2cbHojdGTR7OUsNRqEbRXbxDEqXnuzvzwH7y+nvc339bHznlx/8wz//8v7vvv70x+f5X549b088M1uYU9MGL+5Q1GRBisAdeehXZhi5pzHsUc6d/JGXCHzpPGUEH7wBOrnvDbIGOUJZgeeX1kWGDvIfRSwmI8mRYN+8g+3YZu4pXN75iDJ6DWQB24HkwfhF7yVdMlBPZMjLJkRHzixnr18g9e79a9o+znRdezJiMKL0rXFiXU3XEMhoEdCQJ9r9nae78NisbBqVyccOI7IXj6D8zqWg01oGa+YWUG4keHwfPdcDZoBdwcDXVuRYM4GUVNs7pbTmAkIpRLAeascrtzqtjstuOxtE+xSuYJHtQEG+AZf8JPE+P++Kn6BXa2PCldcaNhr3OyDY849k5PkceSHGixsII7DFeuif/br5CxLmplh5vzqSJoUMKA0Wi9UjrBpoItvPjy65IsjbmRgMdnrPswrMfOPmq2jh2kfyF6kKY4I1jcRS3ZxYzuaxEhudh3UHNIYuCATAKFT2naV+6YjixVc+IM3k0QbfylteH3lEdqY3hMkwPJyIiGLS36cAkAe3KTAnUV4y8uPR3n4gH3BkId67PMK7v77xxBCcFsAKuJeVFeRgkULcWzGIejQd+Qmp/nRLTG7t0hIe9Hp6dslxceKgKBhTrFnsOIfVYn64rZ6h5i2wuAKy9G9yE+Zk7lptjcXcgdGPo29XzkAueuHsTV+kFpD1dqyhp6McuCOGmSD9tYvMWOyxy3r0A7+defLPvv/1//D7L/9c78+Pj58/P56NOZ6aJAj6sgb0Q7f6Ztzf7U9f3d1Ts5On+pq++rr8+T7zdH+4+znjaaMLDV5hSxyXFrJ30CCS8CdQqhGFqpSTeYqZZUYca80WOW/z73va7IGvWEBFQ1uDJogDVHDfQe3Z7CByCk8S1MBES4mI9457Clc1yaTnvY9SGEd1GiRpYYytQm9XvcVZPbp5R0DZvhs9OK8Yu7G8QlMl6c5bQ6QPzgLMJx1lhkqIEpHU/Co8HBSKAl2szImiUE7AaXgMI1mtfKmuEIO7Yt9rwPDts6UZW1hEZr6SUAQPm9vv7nEiVlWJRZR1u1qNQ4qnzGLhNUfGjWSnMC/GRcj1yNNcDbVfXJfsDREsx+3ndAqhxIZzJT6F3KwD85kbhqg1RUYL7BOkteOgXY5jmxMsVyjoBMogMGgOe5rNjVGIl5/MPo3rTaDFwrDMMyRSmADTkTm4cgbJVVDRxdLhAbXJsCzH/jtJIsrLjihzNl3U5PR8xsA8zee0jSc5A0vd5Mw1e8UClvw459s5b2/CzBwM0VvW1mHdbw9+HMLouBRHcy74uq6nM70TLRvTMwVSVfWgaXKm5X4rffH8+MPj6+NR4DTgyujeKBaLOEdf6+3ta3196OtDBI2iOGWuucmgKioGK4hZrDa0ce1WOhVXQiZx8dujVDDQjULH+XIigO0NkV9jNoLGLBUABYq0ZSpLmBIofNF5O/VWfDv15RwVz5fz9sYf6vHj+frtvD2qvjzqS335VvXlPB56e3N/wRb8tK2jU1IVKUGnKD2qVLWgBEhVQqBAAudWfmKYjIPJzeG7SElJotvUXwJls1OFqoBVKQF3BPc2a2yBwvQkcDg/bbDI5h6PPePxzPTVnxefRl/s5k/fP375+bPH+Ibf/Kv68V8++APePIflFEfm0K1f9fTaulVk4Bcn8TjYmO8rGVFfRNVAvCrJVFm9e1K+VS321m+YAZqLxq9dLNUFTZAjz43Q7V0dsAIa1IontlkTtzohUwysUua2F0SnEqV9yoobnd9L42VsyHGiWG93VMNqDZQydf9MyrGZ0BMpLXxFph33a5JDwcKyTgYZYWg+eN+OaHoCBPXcTtPUa7m+wrOlajXLeaYrUNjqdAu07XGQi25Wy4o7G3PxYKU4lErMSJuYKgKkB5CO+kUargp9Ryll5hZW8O+bGOEdGwM2Zt0xv1a9r5smNR3CegEr9cWmjDPYr7Zfat4XiJ2+Kk6IO+FnUYZF3fdlZ0ApJpJXhO+cux/L60VKkTtSYm5QpFNqeyZ4LDMiMqW2E2Qzxpa+oSMX4YY7Ooul0Lytg1aVv5Um4lzjYtqMN503bzC3hSO4owMf5Adw1//d+NxJvPlSunH0TPtZLmRt4JEPEFgMP9Dm5OMIkZ+FcFdFoBP2Q8P8pBSBMDIUGayNQ7XvImg2DYwD+MTuoIj+Jx9/1YrWJGkl4kqBQFnI5h9sg5H1IsczBr6wysSlbHeD2WYhNVmiWjOY3ASDXrzif5C1OrqTTG5miYRnXt/JW0TGo2plbWxjchOiedeDpmNWs1OJIhlUS/r0YPakSOOcPB3b4xXyBT9fj03F2rW9vjIMNxF2A9Uv7h8+/sn/9ONf/Xe//eTH55+e8ymMrgt4troG12Wa88WsypZhX/TH5c9Gc4a4wKf7Yl/wp/oD84H+gC1PdW/KwWRxpRi/TQo3mBFwHVZU+Iv+5EoEneI93foxiENy3Jkqdn/F9N2Lu4w7sxJ2JEp2QSbj8La5O2wxmD0dv4q94V/7kWsBRuxW7ZlASoRe4tGUyxH9DmUFvPcaXi1oSWCRRVG1l12NaQo5uOc+dU1fRJvtCfOQ3lbhcuCM5RUnT6sXI+GNU0V7hEFvr58mOkDE0tm4+4nk0AY3cDfhuXvw7c9NilA+R0C3AKSiWhicBKiJUg2uVCGtZBOG07+84aTuHGgzDmwDTF85LjVe4HB9F8l2CJQPGKpSFg2cIKocql5EKE0OaCcMj5nCPFjl7Yg+0b9iadqx7Z5XPlmwqBkbjem9ldbEG19O59dOY5ycLbrnynke+RQOoGnQiaflcvKwCqfwKLMaBeqiRliP3gnTI2RY0J64plugIVF9H2ww9In+9Exzht0eo83uzvykQl55g76M59VabAAlcarMBtOkKQZbnLcAr9WlaPKYi+zqeQ5mZhpoCHPNXO6rJ0mxaWTNOToP4Ie3t/NWdkKkPcI1C62BFq+H/SZ+PY838xQK81Y6SlYWa1oJhiqAeKBchkRyigMNeDVmZlX1Rzx4PHxk4MFpSodUoSLl2AstJdJCPdb2lwr/vXiWC3wID+HtlIQ6lVX3YB1IeEgip454xqoq1nmcN5X05XFUhw8VSHFnxhG1KtxFmsudEdHaSI0tWlcxEwSyDS8JvhVEzjhMw+0p6tDwFLTfisAGi2nNlqm17zgt4zJ0cmZMrOZFcxJrMoMtNWDP1XW9fz7fcX3wanx/Pp/v/fzT88Mf+P38+b/59uUvzlMu8ijzBZMxkPo+GkEG45LonBsAdOsEd5g2MBtiNfswfCOTXoOvcgrnrDL8wi0JKzdM6xn1fwfoz9G/TIMXo6dyTqauTXHU2BL6BqcwvyLDude56oCFnHGjm76VQFsVris41zfGqWJ90xuZZu3oU5mLIJIEj125gnbsej6NR3Nyho9fEmFvCWJmU983YKeN4aTAAxDlQehqEBRBMURNnnbKhu0DnHWn5Es4k2TNRENgMJy445i3bHLv4JThqU4KiUE0etNvxL0ud7Xr9kqm34tVfbtc3yvAmQ0xiwDfcStEqqwtbWFTszgMY8Bp5DGG4PlVQCAPX2NBsWGAoO91GERoaVq+HgdAnH3fixZleYIZJZxJvTn/Ap1vS0NgPY1pH2YYFPSGAxc6lldJGyEpVtrF18JKOke2AITZ0UXbQ0b2sSkh6YaI7aMFrLZpq6HUACsoG9Kz4n5wwhPECpx48nA+dzZbyq8I4DBA9xqyCKzYSAkEzYeTvT4RpBkC7t7fBpKor+0AtyTDECFJMCgn9wHKVCHvVOiom1Je5Osa0T5hcXbT3go+HHg+srdACoqwCKO224q+bzt5IvxOqphUB1yzyvYhCfsKe73aNxMUpJ1rv6/RRs81MxtOks2sLD4M7txeedILRjeJ7NIBpu4emQ28lBZVDE88NCto9wwAjsWRpGRnJmuOyR78FOfzL/7t7//Z/+mf8LefH//w0f+l2OrIZF3dl1FHOHqrqm+gG575/Lh8uZ+cy6Cv4dXT437O8/vnvF/X9LW8lBk4aFpZokrgy06+BkM4WqKIy7YvKsRFOtaoDC0Dw06972vG0/Swe1VakcIGRDIYkCjI/d2/QtJNconbXphLC+H2pSy/CsLU9FMvqeiMBZUM25WSKNOAE1qy1FK4Jt8HhQF1Ol9xLyT3tU1d0j23gI0RgoR70s/m9Fj13a513ui21aSYyS5GBhJr+1tyOGdj1UJDYTiNl8RlkG/B3Zh0MsuE4HTBVzwKoBQCtj1owEqvMzOiS9ma298XBENnG1ymeOOJliG1EESe8l2QzetWQNyZKXrT+5YWrZmBkn3Bm2TOOoFdCyZGZRg5kXtRRoWNYU7I1cfy2lnAEkAWRpGrYcxa4/fkBg+V6uXytTnAQf/t0UiEHMxpS/MhehJHlcENESOARZ5SlYpHGFEHEH20bBQ5NXA7IxaLwHWFJ1urqMNvh/MDLvbYYFNXtMMGm0kaAGvuOPnL/nzOdc3Mc/rC8cgFz1wcyJIlk+Y5tIo6NQmmVs8YmI4H9cpqBJKqBnY3ZOl5z5k4qnN4DOB6RjTwvOx+dl9GN1gs1dupt1OPRxWHlEyi0v+UtJFfICv4P2ChQVd7uj8vvwMel0G3SZT4EM9h1Tl0xAMsTGU2k8nQ4jahAod7SkwYsgzGQLrZ86iHrCEhKfKfsdEcRMdiq1kTlR6FKs4ZUT6KW4CEyiyIRIGhxZBUzsSEtZgCeuMt5UUAl+cFY9sPecHc4CS1hB1RAhTv39uCgAA2rXgPD+WgC/u06CHQHLhTTq26Q6txdPjMeer9Y57X9XwO+nz+cr3/jM9xfcFv/vrLP//v/1K/P2OcqTwOEMIBQukTiAspmrTOqcnIc2G4Ywl1RDL2r9Vkznav3hh3iq/puLsIuJleIgCsvNBLjAUroI7eI21zLhdOMuix8qkgjsumR/5bL5x5KzXnI+2hfAsVNuYkQyccLmFLtfZWc0GKozFaP8vi5LzxbCc6IIhtr8ropF9eCANpQALoz6J9IAPXRjNB+3CFEvAOAfMN3Yqv9HGj44kTENPnqjRydQIbR7WMeW7R+FKWpbr7pFAifCH4163vyCcI6EnaaAZX8Zq/cvclSxNWTuJNqB4HYAtiDaxJdtzXLQu/uSCsaJx2YiCD5C+EP2SgHd59A2hhkjCQBnE7lfxn7r8RbinrDkoo6hqGOyo9z+DKygYSxrUBEHoRLTcLk5Z+7oTSKABGm4/DxfQxjiJ3CTtsYxmVtLEbKbKkZAwsmsA1+wBD3TwQssoX75rtFbZrm7sEDTHNaD2ijM7iSaFDz/10gMamsTEEHNNS5Y8M8j07aGYKllThXJdRMS/Ii7jLeTLrwwANMYamBofF19TwbL7b1UfekP+ukT0bVgq+hbNVCb2c7Q8McITdTjk/ZmiysTmoSie6KvCtNLCcG2m4rzxybcjMLbvyKuG2YsMskMdbuUGptpMOX5Z8kXAUTDBT7Kmxh+M2MtM335WvAPGk00OCVgfQo2odyRn3hbtRwaAp1BiG0OxLn4/6m/d/+3/5iz//6999/+X95++XSbCGT6NNz7DGNXpDFRN4iOe7deG6ItT2DAefPfP5cT0/pxsznk/WPeo9FJtZoHpV9QSTgbCNeyinBqSiJI1yoiqcmFAcNaoZIcQMApfv3Ep0m9EL2Ng+d2vkwO5RC42hHD7woCfrJqlZ4DB5/4Tt4gZOjUIQJ1eNHG8685WDB8K4JzBL/zqGylreFctLUDSkjPtJQleuopfGxYW2TIyopOKA3HwnBMK4fUwL0KU9lfmKB81Rwmyx6twO3iMp40WdOQy5cwFFGoEe7lhTKjBIQI5czSurGR6qYLkCIpVCmxkA28LIDe/crHQvKqB9AyfGDBuAe+QG3JiQMKK0OV5tkyjfyIdTMWHDEl5JgSEEs43SHVXuBT6sEkXrVpzNasmSlEDHes0wQhoakeLmTJ1bG+kbr1gWON0qXooAIH60mxwPW+1QWQI9NfZGuC3LnF5csqjaDgxXrlzRI9PNEPpo+JIG6BlOK3mFF/cScJqLxsxcI1/dV+dGnu1NMUq8yOfH8+Ozvz/9ND/gyTzQRLWS4NTjknwKZT9c8mE8mjbGHm+I0Ro7sZVEBKjs7A6jcEDPV55vbyzJ6MvPdl/ua/wZGRCgCsw49cZSZWgBz+Rsb2rCY2l18SwynmUs+XJd/LxmrueSqBfnUqt4Bsp5xwA6tVjQTNBLE53eeLGIADx38+YqP6QHHzmZOBCrSPCEtAOTso1UpgKIy7wkuVQsTp2TjZJ2EiDCZkCq/DC6KB0IMThLaWuFGXkdYitFDvictaQE7ExtOdyUNpVgi1CnzAz0eUuDs/5yQoQJHwLAziexI2KozAznDTEQl98/r6jCnsRPz4/3n773x+Db/Nm//80//e9+z2o9Rb71A3PmOK1cmEHeaJuWfItieCL3UCJOs4VjXEuJLQQ3DaSpRA0MsKErCS5HIBW/hBIvkmfr2rCeOY1vJUkYujtTqlLOxqkqGD3162m6oKJuR9bwxqiheUGySg60NiAEsiepXcg56jQccJRbeT93zbZTjVxsJrsNaQYWHE6R5JfjdoU8E3LdewwF7B7f9ADJ4rps09oM3JUOe1vELZtCZLzEj0AgptRpaQiIxcOTp8kX7Rqwm3lZ+f4RQ3QcjW4ymGuW4C334jIDOyTbxnRxgu1nPLZfb8FDTHztnFuswrsLEpAuAtnBS3tFP7ZfCx5e+YhRBAj7gtIdoI0xMVErehHdXG6ejdeFp+G9mrx4oQFczoTWtURgNcKYGGaduPT73GDKOnSKuNcVlrn3wqzH7wbFgL23YnNzLjkxAkuSuBJXQoh9o+MpR4hO07ebKj8hsLUzVh2D4NmB9PNQXVi5CkIAASujR6r9mU58A7bn3ACClcAvYXbzdUxeeOrz4JqpltcoG1zL5OrLgOArC/ghdRheDRti1sjGkQBvaOMmfqA4qY6jf8GvR4DtnYjkhSe8pzJ5w6yo2Ja9KlSnXLU3i1JE9MxBLWIlx10UpBHjzqxQdHKw7Y4iLksy4p89FoA9vQQYNVuGvNCLl+I4B6g5Rd9zrTSIW2J9pPBNvLSdOUnenEaBmB//7Ie/+B/f/vC/+/1Hf/7y08dcV3d/v8ZzMCcGM4+/YB4Bc1oY+sJcM89Mb+M8PVc/33198HofDychxN2MUGBchMIpC01nHiSTd4CQ30lOwzZ5gfyrnMI0vHSrZ6bdc7XxbM0VVCJdLSYWTu1WRoI44CqQvnLu6D5LAt4uHFZINlWW5Ob2mRbwRPnVDJKRTpFQB5kIMJcflkdPt6+cAOmAY+9owihn2KEKCPdw7LIyzDMfeXZfBrfGylhyWzOgLyqVNTna+LUhhDPAFKYo7CDJYxqYxsAzmEnIDmnMtWo69ipntEdpeoz1ZM9ODtBy3nmC3Pp2cnFtK6PMOGLJkQJIYtFu6vYeigzuMysA4+aj5BeswiZ/Jjt/0Iw0Vv2PgCeGCs/hpK3i1uQJw+4l0G67btDZUAiCbrCLy+wPRwPqVjztvVY7qQsGEonpmV410B0ZtldEkDiD7bLhYyrW/dx4ISJpt8fuMEgmI9Su3josBrhk9xAOkToN29Ag0GUuZO8WIMa6Zu0RNk6KlaNcMKWyjt2fn/Mn90+fn7/0kzumyMQ+b+lwJFapTipHXWuklKSa0idBsx01HBqYHo89ofYuDeTpJ4A65Lfz9RH3dPOyrp7Pvp7PfgWlHhePT9RIRJ3UCo4keiLendTaK8Te2vGuSAxfcPu65nJ7BPKC50E9DuE57MKsPnvPeDOH4WIFEcZlEZpJ6jX5/2fqX3ptS7MrMWyMOdc+NyIffGSSWaSK9abkUpVYZQl22TIsG5AA/1z33TLglhtuuGM3LMOWIQiQVFUimRFx7zl7rzmGG2N+J8giWJkR956z91rfY87xmh1QlYkNLmXOkosRNWYqTuZgeVWv0bs0u8mmyWZdDTZAcDVB1UiahArlFZdmXDcgQmtwgWuCiVmawF9mWoJePUR5Dn1WhRZ78aRcls7VTaGDeCGGtBIyii+JlydGASioFJcbIwS444a9f+K3j/n2cT8/5n7Vx+/76w/zrI/+o+ef/utf/eof/GIum3Y1yY6wMaPTeO/RApi9BSAO4b9etr72XsNh3v05FBOOluNOaVk+MA6BLMZdDDF1JFYiD5VHnZ+S/XyrlTgJm7AKA0PZHtZWBylsVKWApTzViBdatbzjbkMLBXLKQuWqz9NYZyxl7dmSwqyRziw23plJ/EPKMXvL+EjaQcMTfkCozvz29HNBChZgXKB7K6igrofCAE1lnEitW7lX3gQfR4HJ2yBqgyP8MyIaCYtDJKy1gzGDarHu7VMjzkGlLipGkRAbhPboCB66VRly9OeML6GNw9gHKMSKXT/fCmfbsPx1EIWqOs0QP/HkWCjBTKtzdVf3zi5B8s7WV9lrvUsiEr3CEjB6rFWx0A+Qd9j6AIT2TEh1qGBxpFGCwRj5kLCwn4BRZa4kiFNt67MsTNxMtj/2B+LzpUrrB5xFBdgFqsg2UBnp1mkZGQ2ps6BgKHfiaVBgZmjuiaJPRZrRIAvlmSNPgpFcw810DKtYxWuLeCZ0MSUdib2eK5VoBqVc2wA2YyQO2zzH3JZtZaPcpU7IdR+PIz3LOuQ3G5UR0qqj3UuQ0adNfN3tuXtnT7QTCUXOSn6YRmvMs1mg23bJN89RhA2kyxGadbItXCi+C6wNv0qWWlwOGQ/IMe9BFDg4DFEXq1GMv7ROH0oAMmaS4hFpcvBbb2+JrBB6TIyJiYiC8mnoEgI1NbZxTbkL9RAvNQf4nn/+l3/8u//NH75+9frx9z88XzYuNx+Fx63nc/QO3r6a9+Nio95QhRpwdL80wv2u5zffH3x9e+i2XzduzMt+Ga/oL9h1nXYq/R0bPlMw49dNwEmxzKrH6fMKtaVvDp7BLUAlLnuTgSDHZrQSvtWYZeTevoptzvqzVEwzPAtzFDyeCtYhyMo0RC4RUDInsEt0NnPz7E3DI81OQRPi9VHagGy7ALCE3XKSi+AErcDGjTtR1PYl0YUJpuIoi1xu78xfUVanCbylcqqCNlesoAoth07/MXRT7MTXkEqNzUavVj4tUSFKmZWAGlIsQeYihAZZ6IQMnsLTk2ljDbN+Ht+QTXcDMSXU+mxSGq+D95NYz2RWIzivUJsGdFZ7+uxi+84E0weBIN6rU/b6tuI9w97NPPeQkSx8xKVrJXwIIRxDaygATYiYgjfEa2YvEq2WlRtfm/GuJkcUqXtd/ctu5HCEqg03q0KF+GpfaDc+WFZ96H4Kr5c+pG/3jP2akioYHW0Zg/INopTB3Z/ZG6FTUsQSbG3kaKWBJVCjbDuzXFeIXXH6Bj/e7/dv+vqhAZt440N1VpwgVJWuZl1vDz4u8zL6YsMUeCeoxF3VulhkZg6TKNYY07JmIBujpNC/vT2+NGQ/79e3j/vjqY/n89vHc27LhSZv1HSTV1UY94l39R4Kkkej+AdRUUgLKEPS3L4Hvmduz8xo/Jy5LXFEA9fbinmKvKK3SWLeTnZWcUi7IN7BpFwYiYXK0OddZcGeq3pHzFVgNNwywAs7v4MgxRueq3gBlYkY8sL1SqQM1nZew+tEgPiozlPhB+mLbiSBT55xGEraZFWZEZJ9oo6b/ZV0sw3fCgs0rIS1ZhutAUASGe3glY/XkWx0cocGZIaADHnf83yO75e+Pj8+5vmO+fFx3/P9797+8X/+p9fft+EvejT6vmbSSsnktc7ArTHo7KnEijHBZd4hZ+eSrLRjIChXrujDtLMwh9BfikekG4vGwIdWyz1cnG0I8r/cclV1EuYjq48hTdGdO0JjagLE0eseY6Qki252FuamJ7jOVB6hFjvPm1jJQtwq9glRwXKl0Uce+H75i6iCUqku4L5+l6E9aUFKJVMT9ZCj0BdSXrEDWLLYjTXVXWMOOPJt3UAIWUeoGGjeCrNtX9syroU+mp+luh0On59gZtmgVdsjpF7f6C/Qa+bIz0mC1wLmnDyWPb+BFLshjlrgzqvXZsivQmL7gRTOSaqLYmdftCuVYJoIZhfvv9h+06sdXQ/sqne2rLATU4Kgz5KOch0Gdvi8sfYcD07Gyen30nIfKmfhKSbT6zwbhNbC5BPNdmwgIScKZgAvBRFlwrF8ex0eR3yMZfxA00PF5UwenD08o+LAw7l+8wI/c2WpmNf3WxIlmEkaBVbO4s/ejM7TObovzj6+Xs1i3LTh/elYnGur4Q1TDrBPNE7VC5puf3Z4FfjnSFwLi5zT2+tlFBOTFZZWMBXfwnRipH45VMzNe9yy5qxKZ8RvZXqIN053R+qyAJEDEztdDvQEtsNpppOsEZJ5i8VsKh7Q0gDX0hKPJwORZUFbUakGLk2F00bjYrxLycm1ribi3mB2X7K4wV55XasKddWDDZTmwhh6w6//AX/3b95+8Re//Juv/+7j24v3ZVG37ufz+XGnR+/qi3wUqq7y1d2Yx8dz7m/33Lpv4bZ945Zfy8t+7lyPGX42dr7kJ0suU5msHPa82M5bikMpR94e0cvc7Wgd3PZtyYJnYtGcgDhVK7NBSN9UdjgQUBwRKa6rugoNwWTJanbcF8mexqGYuAXlcOeS3B6D5U/fKdyInXlJtSK9uVNaVb7gndfIvfyyNarNNLpwxX8zNsJGr+E21w35iXUZLKpU4fHtgBcBXGq9c5gAb9H4WkKSdDeJIxhm5kJjLKZhpCn4EMDJnMRJtdnWeIfG5AtXVAoBxAJznZN+u+E9nnZNuFDc8BsD8WZ0mxk9bHbI+6BoeVBHqhNHsoNmO6M3aj3PXPPfwYK45f+26VgZiGLwRCCYReyXSDxBFrF2X65q4NMAVChXRtzTk+pK5hnJyt16qrE00TM2MVXLjlTKj5dv+B7co4/79Xzi/TkfL70/7+fH/Xzqdet+veaO02WqAIk8pw6kmOaygmIMyIoAB5+ZJMdS5P1WTIwU5HtAYObjOT8+nz++31+fenoiwL2AJnsFSW36QVeDjUJVyi4i9hP2G0RxAE30W5qMxDEwOczMO9wqdLGvxyXXPf4mv99+STcg1cC35nXrKb2mXqusJUqvWzMb7yhGrbtYVO7225bLLI/mrrk9g3fdr5FveYMnGecUy73hV0R1wMWozgwmFOzi41OQwe0jw9hTrOKVW0YDa5T3A6RRjm2jiPQSRBF10Vf3o6vrevR1cZUFosbLHtLN8o6/UjGKUeoRS8nuK0OeKJ3XBBrLlwqQwtK7WpmtUkBlaHhET1VVZDvOnj3n2uyK4ce0nczmHOCTKocqoiZhQDY4Hx/zuvXtiQ/jfr7ub/fz4/X+8uvt4w/+Z4+/+Kvf8Dtdr+q68Li7yvDEvbrw2uHY6kpWC1KajfpAinUskBHWpyaqYDza4hg2KukCe8YHsZEXJtuCBmAmIydfbaUIm+PxibVkb3M2mswoWFEpc5V/i0+T0TTn3OCmRkSbbe+J41PZYaMVfh4LmZyD1Fg5ox35ro+oMDNRQj1RVHWu/FPspLgJwIiDXwZd44Lw8X1zj08t2LKHpz858pxe+SwVLdzeVnZUuclT4mcJtJWTdlpGyigz0ADJLapDnG2QSk6kJbm5gGwRpHJ7T7yrPIx6YVczwh4QKCqg4dbQdgMncQ3cSUTgdVQeGdJk/h0HoAV0qliq1AvUpJIn4an1COSwkLZks0GM1AXcJUO92idEMl6gIExxkZltM7MGUz8vWxlGboEqcLtUH0J3J18sgRGA2XGcgfv8Kiw3mXm5KZxY2ryxDDJqjY/wdkW/qNoSiGTJO5AOV3GAS5CxZAhxXidA8w6mYC7AvqVzPuSR2+wFkUOzInwiPa4NlAW92jDs+AMvVb8yx+VesH0HPr2zKMiZ73MokljT4TQpNUvnOdFOZGKGD+WH0+oRlz2oC86wHawqr043doqudQxgp/WS0Cp+P99dCIxkzNTkG0RS7c3R1dE0MkCkl6zfV3ZMPHCgYtKVKWbY3roMP6qoyaG50W/puuWqytSYWg67oEyj/QwGzgBh4nZdxkXfAPXdH9af/Ms/+v4/9t/8LX/62/vj5UdBM3j69X7XczPgr6arHhcvyq6P5+idH1/vW/V6JaVsKErSfTzt2DEyYTZJcah861SoLkMd1KnyffmI6RYia4QiBV+LsODv6KVMnKcq4oavtMQrKTt1427CPPBi5VpzoPuaPTvAvKjMHlO2VQPoDF8QtytkUvVREe8yNxBS3meDrtGmnCFAgAttZtAEVDG+ZXRMViLWbWdmUhAdoUmc6jMRwzDk3piJascU2zjsf2W5rIs3xhziRNAWmchEnPEyu8dPwOb12YzaAYujwF58B/YwUbmgs1exHv9t3hh4Pf1dXkSXiIYPYHNeHZgOj3TGguDYgxFWCMhtawb2SrJedt6CDIibvPGgMeRlD5u+IxmKiD+W6M4cTGBndshob9hGYweAIN84Pg41LwMax724wxEMFLAgHzsLO5qlvQcjI14lSWKF0bwMF2+epDNdLisczUuwtc6KqNwwZbvZCfVbNl0j14nHBnaoybJdZGE76qpo5S9iEqkR7WsDUE3JrIu4pfRbP76/vnt8++5LFR7zC37BhdpowR6buNNL0FYPDSkpk6qhm/PB2sDl3gshFmt35UDPsGNxMk5rdPvjvr+9YHNwe8Tn9e5hXc+XPqx5yQ0lgda3TItr2kH8/awrcpfeg4YEb96O7FCjfWH0zkS29ikRl+cdRbsvUPXSTsLa06OOBH01HkQ3NkInm6k+mZmTMB+UIRKTSIQLHqw7lWE6QaWp97xUpC74Vrk1IwFtjATOfRsdZdwikerRreMZsUrZviQOxMseTbOkKep2lUtF666iJyTlMjTtmhSqmT2wlqxKMivM7RXgiUQ7tF4Rc9lDkupu6cYHWnWzH/3+tR/i95e+/FB/8Mvf/Ed/8Nv/+v2v/+tvLcwFkRmbA91ZoEQnxxW2UfuVM1AidsDPgPKVC4tLjSwAsk7twIVEAjiWpFkRdX7RbKhrbgL8rNdzPHE4orzk9g7N9Q3nrrBZLe8w0lOUCcDuSMKH86ulaYjjM9tdnFmlIlY7kOJhnZ8HlZFZdd8umqicW1GzMjDhCbhHQT4D5XCukTXNHrydaZ8dpVFOOSDy2OUiNIELEiDsXkxLpC120Qv6aMt2aiJJrtmn4E8ks5L+nqIoYNBxXHj5/+Dyn83aVmc7upUbRMMqYz3wIbKiEyou9JQZZCnCbjtrdJHfEGw7WsjxWmUyS2iWjgiAnyF/uwv2mo2NbWUY4sEOMz9hTb0yHc2eEHbEZ/itJY5xx5EGxmcRzd7+TzqnHDWqzzIu4ufECi5IHBOCbY53fouWjZAx2poo5Vb0XtivtELdgnvTNrbIZCZ6ZU1Fqogc3ohs2wQuEhNMHgZGwCDgshgi/vjbsnm6Q1Qm5moOU+nxERBfwUfMlcxjlUOM9zj1sZY/QkyS2bApxrMN01jHaQuiySPMx2TqadYFq3opqoX8XdqWIbQaxdqO8Ox0sKMfTyVzyLxl94LvhlHZAKYtdOi9Y/dvkTs6M76E9N0Z7YVd9hH22nnb+6dOBPGm0WIz+pgwWdK4ucwNFQCIRdd5UIhAKnbDLqAxnCUQyGoaQOtCrdbsV/qTf/RHf/4vfvfxyx9f/z3xVd0OuPnxTt98NdX32wPXxberH/lw9OvWT99+en1IL+qDGvlVM9BQibzVJPJWAMsVdH5drqRdrMIQ/bORpPpijfMXALtrJbZJikyr4z1hjE+1ZdhubRAtq3IUh8GMH8/7ZnI2bqx6OSulUPn/N9ypVBVKMlkwP5vEacBKKb216SYhrMM2dFgRGKaxtiHKO/TZaQhy/oYly1u8duGzGOaSJqgqVgXjCI7HLpTYqSYU0q8wqVxTgHrrfou1VvzaBmaRk6w0k70WG8rABPQqoopBNJFbIzNN45F1jExcGsPb68SQf1j8Iq8HA6ObHcRpvR0hYPJPjmne/mRmtyke3UmOq3PSryECBFyFJi/uo2zURqe7OL6hHOApJVIlfIas+MoMA+Z8W/TvxLZFkKHgPXWCOAKShpaPmqly5CCx2MpQn0TIDm9ajnKxyq094GapvmRxDHTLCYG7775dHiuCtEobxVeoowor5fNmc3ivwnW9MSk0Eg3mJTHypzcZv4rUxapT3wGw9Hzph/ePH77dv3/eX396PWckdcQvm8LDccY48O2quqoeqJT7KOrKyidRdXS5aczl+/a9UGw+ol+Dnz7uj49b1tiQXf3UfLye78+Pr/fr4+WP4uuGZ27Yk5Bfza3XzGs0wktzvyzDN/QirZF0Y2O0JsV09letC8pIRkxO26tVJjVIngixYHRMU8kOiD8yWx0+ILStSZjGIkUVtDaXUio9ASau4ElB42QQq1CtzUAM+5lPlFlBlCghSFht/9DwEumLZLNmu1Atu5wLMcYqBuxj4veqi2B1DAcnxaDZLF5JsXKCiLk+S2KhZsqoxDmlyZHiFrAw8n1zBvf94suvWy/x2+u+v33o6W/69vZnjz//V7/rPzTape9ZAB/kxZ3SgA3v47iME84QhnLlz+ey9GbQLMIeRHV79gWiJw11s+RVlMJUsqq4WWJenBjnoEaQwhxOOdCi8AnNerAqYtW0XPSIUU3VQtNZXLGGLH8YAnr776GjYddBkWvrWkfAuv4Fe8CE/K+go8yTkvIzC7w8hI9YT2sHTdIoXVoiAHAvinlcnh6LCdPjRiOBFArxOuQ3EywxU7hCc+Z4BzM3jFrOzBv9IuKYaHnAUYQTzdG5mqGFkwOLs7rqYtzLqa2ClRfsQWxQuTIFfmZluNLQLNruQmGHh2NDY4u1jF/t0/ZmZ+C0j0cbxK1LsM8HO0tjy7ScHCwFr99OLy9Lqo0XjUtyhq+JExubjhb0bnSycfJoPiGLSKdSxuVo2kyjDb6vrD+3mRikgyyDFUo5TWPlGg/KatOUDDvE/5kBR8w6xgybizVut2bnFiejG0Pqb1eEjNKVnAFeAABxUB5Gp2XPII/KNof2DSAYb0InkTSwg1sTSa9ID/HJ5hGpoxybDtWfe51EHUVdzJlgbtzmURthdUX5V3GMJV3M9vFX5lwPTZcTCJ+G/ACRgO3Z/WcRUqEQQ9Xf6eMEVunUhUZlXOvpsPJ6apGEE0G4hb07YKLzeXPd5FPtJJD0NnlivYFP2LBhn44uhwywvAaMYlWBkDg++7QBQzWBnV+sUr2V/+BPr9/9x3/w9qf8n759e/34xBQAzX2/v+Z+3S9DftOXq6/r4uOKDrufP308f3h++zoa3x+KxS+q9o2DDI9n1rFe6/Bx5JWRBqpx9VZYtYpC71SAu3agQqxHm3t0DrWCwMGMPZQqSjhs/AEx4d68hRawdGUwDJ2u0lSVg0Ejt+uEOZuyeOvzRe+KNX3TuPYiiorudJVXpdJH5HvFeBMRRRKzWxPxEn7o/F+NUw8X6xTx+SbBvDNrOtops1LK41BgCxslLCNyPU5R4BxmCkaXzrgJR+4XXH2SmJTrKHN0tx3zwStiySlJTg8NuJq4AEf5I7KqbXiWdt/LiWCuEWpYSfXJPXVI20or6LOBXcQV2qG6LvAIf12VMcVhYtlCxJhESRSoqeR8Ut3UuroWuAaZ3x5IQALcgaFiH0F5wG2bM4ksgvTO73RbsC5uAJQrNSBCWx7UoeNEaTexo56BuwBXd6EusBq2q8XJtTGZaVQTuRATOjRZkdyv4Zj9kt+HXhdLZQ5xPkLnXwtNNNkZcwewuvfqxH4ZGbKg26OBb3w89dPH8+vH/HS/fv/+8RKHYNBK/txwZPDt1X3NVaiLV4HsjRM/6k2RV1jKiUAZhdFgyafR/PR8fbvv1y3dkokbY9w3Xs85HuKxfZ+rSFOM6G9mBq/bM3gKz6ee1lj3KtaWKTFhLGGVJnWcQm8pBETqSrK683qYw8bFblfnfWebAr2698RrYjRIFg9RcAS3JBe3Om2EecdqnMmgueBiiRsUqwZju7oTzaziVt2FNBAqWe44TtW5ibOKj5oBBlRAbGz5PJH4eJHfOEDzzy6iGRmCWSLcmTxwkRfqKl7rrQNOtiScuVsA4e4UWZGjxkEz/Bi8PnQ/9f71/vbxun+CvkJfnr/6j67v/vL7d3x7e/6SaNHtyTHETymDLziE2FKpXhR2cet9xtv484TFV8BirOq3KTmNeGjNhXvTeYf3WIVvumnvNwQIESQT7gioOmO1UAkNYxSEZYvL8+w5kpyTdBbcyjeNgiLS5lY/OXh+/lPe0EmslGNLGTZEND6zJDKcuvImqk7mK7EudJiw1+htTp4oAd4Km40KDEKUcZWbW6rQkbM3VipCBUrcj7gXQ6jZWgLBQH8mRK2UnzArpigemU1wnDoxdfmn0cQd8ubUZWjUZSDARc6zIbvorj20AsqSZtkYFaWNeuI22dst5oLIbKT9GkFwaunSpYC9HywtWNJ6DICzDVNK0NEAsO/E60k2PdZtZwSKCg7nt81UyZHUH19CekueFvd0KAjcwCSf2PH8oLzEAd1YHax4IugIJPZj6w+CsqNyIU1NBR0XS8aB18Kl2+dOycEFcMWi0eL8PCj3vIkFt73BqoqXY2/sWokv6GRUBIzdFYHt5vdUzvtNQnOgXIdMRsx7621VRJ5AFiePS2T7hl1IFVA8f5V7D5tsd4HJNdWmNQQFig04TgEnnSMq1T1CDqGACMA8qK5wDzmsKl6dLLmkQTIGKhPIbYCyQgKV91uAkVWnwFQCZJKZg41mWicAuHQkyWQucvL+yVwnlNfLtOXqATDMJlm9JJ/Pj73yLrJJ+7OU7QdaDat/zT/9F3/02//ouye/3X+LV73wcAnzzboHM/XoxsWuB9msQr00r2+vj9/7+dev++M1T2R4uccYzvO2XAlV/nShVLgHxonR9ESHoG34UNvgRVNmOLF2bYNqnqyOwHSAJd/j2qJRI81NRv9bAqua2wSuJMWH/dzk6NwqvYa41Ea1iGmUt/vOzmHvwC5gd/LdvPavU8lLE+9rXhjXS5fAgzRDWPlR3so0ceVDE6QXbCkmIhDxUUzWkM/L/nQa0lp6dxEXKQVhLd6y4Kf38ycioOz4YFdmqcTwkr4NogPg2ozmAVi4hBCFAbkJfV6SXkEwdt2edCKGUOV0ZsBgv2Tlog0kByyrCjhy/NqQjAJLBYSxKuy8WDZ5A6V8NBJXszvOeaFCO+DID8eTlRVVBlP/u2b57pLqnIsVEkY+dSScLl27VQ0drwi8OFI5UObeHClMFJK9FtLMyGjQ7TvrcXI78s7Q1hiczHKwS5mhekvALc0GkBSminb1Jj25iAvV8bMCNSZb0ZsTBV4AVY+6uq5lBugQFqy5TJCi6Bf9HH39mB+tb6/7p/v5w8fzvi0rIWUwH5Hf5yx2wiuTnw82WEdqvAPLlvRCop9sFCVJAvG858dvz+cLZvCPGhTkG3oGQpLmXigukBio8bh2GNNIr5kZP83XrdetecGRCUWJ+HPkWnFgkm0U71SYa/ZIsT0Ur5Kd1PgSKGqg9ItBfHfubsXcTy/4nzRSxlkzyyWH5iM26gwk+ABkVkm6U74C1ZkElQavil2yx8/ZuCpg5BvFUR0wGRHoL/WJ2SY4JTKLbGV9FJToeuWYgujKdLfd2JmLAtfu9SIycD1A7OG56boOAErb3loXpRpZ4gt+vW699LzxevaPX79+/eHld37c7/iz19/7T3/55bdvHlcHICsVDCmhvE1WFAK5385NHeexFLwfiS2DvNMLND5HYg5LaruRyD4iFiyfYVef1UOiR0drm2Eq6G2y7fUjeS0dxpkTjMVQlxtaTnapruWBU5wLUIzMRRSljiF1qYKtYdLsAAlCFRHRksiG0EZrO4mjofjkFHI+qWJVWWVcIO5Mh4jUrfYYAswcKBlk65MgkAgxWEuqJGyGh+E9aOmWt1QlzzFqtzBjWWxwn+olPzd4IzKe4bOXOTKP5G2GFsOyPYorPJkwtWqLNEW9gFIKe6esncRJqbsMSBlamFtOKLSrSEPetLBtaE4N4eQFpjSWuQLc3eYpITOBl2W6GLxrwefF3lhwH9bn86aBMYrZfat2wJVJdKFMF2WmyYTECvRyKozJg7GSpJpDPAqfw11X4lPbveZgDisFeqCfbc7WJFx3G48kHtRpOaht9XMP4xBPm3pOOOmlPPRM8tjDcABZhOhTki4+lWadn+VDqmNvzHgSUmCQk2wwZ4ZtYLr0AgAKmGFtAxeGIoofrnvDSHQWiJ1fceJ0kdt2lRtGudhp/VGZSbBxQIs8Yk/RWHSuamtCRjLQaHiolDPRFOSJ2Ws7KGMbapaHKdFCH+eISI0LByKzzz/NqZDBynvpbSAAf96BtjMhbeuvyS+Oiz+tVTCpJeQAS0GZVjURguS6AkRh6qrf/uNf/tlf/dHHr58/vX+8vX8pawavj/v58bpfY3aB7n57MCjZiPd9/fjj69vvP55f/Xx67hzEGpVMgwn86nLyUIJZm9oJ0BuvFfVAp0rPq2IKscxQMivwVKVkNxAKNh2mAMrQJPjIAEczZKiSEwtsGx0Jpjc0GqEay0IdUjQcE46cjisW2+YcQG2nVwAwrqrKSojRArEddeD1TJrYA5cQE3QWY05h13y5nGyULF+cznkcwxSP735i8j3IkQ0WS8b16R7IlUL2RE8RO0G2NV3JpspuTHEbFhc/V8u8roXfip/OOQAJCzqbapNVwe5138MXlSN+mNilbbmaWIN+bbhbVmQuSP+s6qnI8HP8p15jXYfECidi+qrIvtmsZr1d15fr8d1bf/+orrquTGcn7W1LJmAjjtZlMPLSfXFGcRWQmLJr47o/X0iQ9+J5vJlSJgCdwJIOFJedWgBKYBjBAWIhtAl2PbDTjFlofo5H7fAcgWYJ5z+I6A6vbV5QoS/DaI58UkHKVXiwj74WQjU/vUdTdow1u7HSEiVEJF9wvEFoBEYv8Nv9ev/28T54jj9mvmlmz1P5WshOELTelUTFxMshsy+SLnRNY5YVSdgsXEOiC1W3+PXlj9FLonxLxoBTcbjFLd/Vj9D7aTEMdyHsVpi9yi2rm7f4Ib6M16zzDaBxkXvQ3TQsjjNxM2UJQbCSTqJzNGdKVx0rKk0O1vFzARwGiWVgPizUuiVguPOortIe4XFuQt7EFTYGsEbDAdRXFYhKKYapRnCcezUFZfQoBYD27ytjkT0h11PazrliIuSu6gH7dlkNOpE4ODF7NsVKSGSIj0pKqcqbxBOLR/DLBI5ixdANT4BHoKrGDZXHz5fnY2Zer+fo+fx4n6feP+r9T/7ZL/6Dv/rt8/unV4JnohGCrpyrPDVUHfAc1WPbQma5xEsD96ouV0uIwP/hMDessMIs2JVAxLzfLJrcTukot9o399SrA3sCCeNsRpG13MfGXiJlYIgBr/INm6G6itJOUfspnmGo+hTb+9+iIF+BL7Y67qCKDqc5qxfdyrlz5x2F1kJKAYXqQBJAfKK2zkyFiB9NiYGf80cDm6MhNLsvsIpdvXVpcidwlm9wKXWALcTLqQqaG+DWBO5ah7lxhJnBlnP9NIJ0MSAFQ0OoTtGoWrXEnr5bSmpLoaIafxfWj7ZBq5FKS340LKYqByATs4+EjWzXWAGF05eshixvIqL/rYJzQ2LqtmhqnKYFkV+KKlnaiURbk5toyDukgluA5aFYuQXTD0Yur6BHSrOyFWGOaDJTaBaZIjZGcg+edAmr9KGVjJXInQLLeeNxluZG5TcI4QaspsLchAdYRLHOwAPDrmQHbu8ZgXFhsk9XuOWf6QzEWrJZxrnplqrbSU5dx4kX6WQo04QwLyg82cUJ0IwnUF1O7gNSTa4hsT8f776UFPeysTrYLdQzBjcLKj9lH1RvyMq6asVFtXEaupRikYxk/wW68TJI6q1etpM6opD9gZswgaiy9uDalJb4vA3KElnb/GATV0ATAivN6bI3kDHwrLI1nqguVTT+MYa5rhSznXmQSflLyM6j4V/+5vEX//x3j9/yHV/1evFW4+I985ERn93qi3hrk/m21ujj68fzp/vbDy/dTdfLLWFeBIwRiN7i3LUR19ErRtiSYRY0zQxMk1FyMEujN/YnqOoGLGJRHS6x5FTk1MxoJNdAqawCpOLgy9thZb1PIouPlwrbwLVdRuPsj/18QloXALryDowdQAvl7KuqGmciFeqICONdqk4pKUKJDEknN2t22XVJcpVmuYVOgbrs0bDoy6FFguJhoftNy1GCqLq8hKlZVJX/DkmrjM+WzWQQ01oVIxZpOxGiOVy7ACpB0EFo4Sj62Ck8ZjY32g2EElmHKcXlXu8id8LMXt9gbT6Sawe3BcfIrRduslidd+To3gvnBGG5mtd1VeHR/PKF37/1ly/13ff1wALhuUA6jEI0eAjKGsVHcB5kngMlUtixVROZa0QGgLWZbtpq6IiE1/dhqeWoFMLSgrU5FBEQD4kr850usn3FadLxDwTyLxKPMl29jiV2zpLotWEDo3CeGa8c9obrMINYqppt8Hk0BgGT0izbGIrY4wu5fTyGaiPkNXp+vD6e9/P+uAcfcz/v+ZDWjFGa5WKYnK6ir5hbgxx35AKftYUOwEy0UZn8wFt6f377eP/Q7UfnCraRsDyDwbXIHcJMXvtgiQxjTj2QkLzFAiR79BSewse8nvcY5ZJd1QXiKqRjVzVwAUMzuk4wGEl0aMHxgq5loTISq0JBbTbpUgSZOFEFMuXkwNGnCEPmZQSr5w0LW6fOKs5he3SYsVxBwRZVCQ9LsanL5Tqq5dPAIwgztU8vbAzj7EFHmJ0bmMKwkh6NZRg7Q8+rcCUHK4EAGQwIJXs1mOYC1bRsttCa0mqKpKTeEwQuSR+aF8Yf+vrt+dPHx/trNO9ffnn9o3/5F9//RfGJXKkA594AmyMk8EJdC5PfHfzSCvIQhD4I9+lac5BH5ApAup2h31EOWMlIVdrj8MVhnBfLSdUZ8Gchxv3XqKDyXeRxUALF8qKr+yF4IN2MBbcRtVnw4QDMxIlP2Nts8U+cYV45TcIqcD9VFIu9UASC7+Y/wetL9ekBgv+e6v7ILRy8bAaRnhSmdNDY/OAQSShjLIXPih7COtAnMeX5xKgyksznuMl/Sz/AzlEfOZWr3LEsJH+n6SgcEW400XOqwiPQWW7JWDcWcwuaZFIsSs7Y8y3WaycjVciwwG6fgCh88VQOaToyZ3FWL5Lnl1Jhi92NGVxGt+zBPa4wsxWE2nk/bQzCDgQZ2dI5d/tpQkAuyEi8hKavOkM4Uo5n92P7snzb/AqFxZqaZJOFTNma0oF15KLIuq2CCpw78uFUFlCGoVKfKKfRXnWu8wQNtje3IgVPcsjIguSrUj1gyPYlyoPKHAtY92YS2VY1wi/GYD/AA7CpiW54dwWhiccw72q/jhKZs7QMabJojQsVy6EiEgrfUBYGU7Gspnhb+p06g5pm6UNuwx5/SkYs/JxqiliHF0qxTy6h11BsOXrcKiUdStqyNmcfaY9QTSrMQIcWAIHAWjE0LNYfFKjiUAlIG1d5xN1Hr54jCoNaR5fB2NNqO2KMb1YBuMh75GGwE8LFvi9fq7loXla/CsX78fh4zG/0B//LN/9rf/3uG9+/e3t+6Pv7/X48575fSHaI+nV9+d52k6/bxvX8yV//vT5+TCOMGrxBkIecSfhVitbwkjd5SQabGHc06lvOospy1ZIssYnHneWWOKVOMVe1RAr2coC0sEg6frWOvnAJFEjn/PDYZLLcw40dERWRyu8CyFYGLLiCH6NQm99UG0RUiSyKoB18nP+yPXnBGTWnjS9AoSeqJu8NnVM69k6cs52mbs4xaMPjbhhW1VmN1IasMBbSYopq5XSkc7/nmwUWUBR7MARc7HRbW+Qs1wQdroMiC6xB1AqIxim3RUJcicjwgrEOqgLfZewepUybIkQ84LrgVZLKSnwRNNVKtokidDMM1m3lQNxEMXfql4d23KCnqon7alxsPvoXD759UbOE1rxedX17+vkSq65o5UST7ZSY0ZSBpKpkAQ/Wsmhc/BcbJcqF2eL9W6bo3j+Hs4ClYlNC7x3vbXcBsGlerW48Lh750TV1V4Z6NkBcrSaJx+27bIFDE3VTtT0oCXLAK2x4BHFKsWpQnswRdzzGBNwrmjy1wg1ypCq+yEp/vgFstiY/xc3iC3yNvn3cXXPxui9YUnWRvF8DVDzZjXLVw1TRYJfQLakqCfeU6YaNGseBi/savqAZ/Dj+/fM1V2Fmxm9VxqMpcESoCyMjKmjrrsSIEMk4kpTz396YJwKxug8AierrS+qQGgidlNjb+dJwPL+jSTNet1KTS+k3R+lD2niZsrt1IeMGMoSL/XYx6pqYO80urBhHZQwrgyP4YmEiPDxYRKqT1Qvx2BY6Nh9ed72qoacmshHXJLZJE7RPdMK0QyzTugSwYQFVuIGNFWWjxzAz7jqweLgWAqyqgY6+LNRLXMehQAO8JhaPweI1VZQ7HbN1VdmdjjW5OcL7B/xokNe315e/+e6l6+O7r7/6yy+/+M9/nP/2D7/6K6ZIdUGF0Vwr9r+QdJyRQtabiR9fgZRx5paH+9/hxKkj1v/eQ0sxTxrYJo2Lxi6SJG04QF5JoOadtsdiDrug+7Yomlrr5pmNovoUGaG25K/NAkef/OWQ/3lT3IZqEdKtK0hitj5cmDZoJTp9dODdFAYxIBBQVewo9qzETDBQrpC/HOGiyLaV4RYVQtEE3CUoWTJXcSZpOWhbdHkxyA5yr0y2zDSU6C2KiqNiM8sy2DZexlX5YHJWIoOs09pDV1Q2mGU2gDUMVHJBco2G6E51tqKwHGmJJ8ojoAdwg9tFYh92Jy1qYOJKMZXwr2yY2Qssv2mBNTgjLBHAHcoSGW8oXKrErJgtY5eTSk+dSytghj/boiPPwTZjAQzGyUfkVMZzJcsWbAcW42zaarFevCu4ooeI43iHQiIOBYIeqRclTkVTtYb1jev8jGbiNhqOAblWCbNRVTIwZjXOtvCKabOErHuvSSUieJU+Vga4OZq7PlMEanvEVTIBwXbbHsZz4lMPrp6KEIsTbgpAAvUtsBJqFbYjDtmy0Omct0sUTp0YVbrRS0TwSHMV0VPhsygDFU4/dNthVM//8BzTASA27Aq1A4Wr7GHYRnOwcYJ5YkGHchWX95R1EAAsR4BzQ+57YPiG9XEXPg0b4xWY7ljglHNVFwxvV0/iNVPVET3oYNrxF7JxUS3N88v9Z//0F3/+z/+kv4M+4hT2bbyeH3re9g0Uycf1xUBXaYaF+apvP308vz31Ybt2ft1w7pSHsdKGK8mJAQJsbkadTkyrQVKjKhjVoi67cGLyfFWPhhfG6ALcsqooTZ2KOWFviba93ZG/hSAEiau5Zo29b+tsS0CHPRaY1sNlVluK0Q/rQTe4+D2iaabtbLWL5muxK08d5wA+pyBZXEdNKuvcIlWJSMvrV/HYYTogENcg6gOsGgZaHdxrVgsoZyLtz/gCds3KyvnNoz1TxfVvyy7LLFPV4Wwf5EjMcIa0x5lVoGJRuK1IcfKpCjkBqwErsZyhmxK6YoJxa13QzSpvVFU5glnu6iBJehRFqVVt3d0kU8VEo1N0qQRXV5NVb1eh68Iv3urL9/12NeNtcF9vuL9+yHXHd80caDsKPOUXmx6BVLF155SpKvsVBC89ZVp6xsGn3ir8sDIx4ecm163CBbrIObreHfdCE3i7LsR3wEn8DmkXLhDVD066nQcv0b4HxWRBAqou8y5diaYhXGil8joRItiOpRbIsFiqwUoKXCqdhuAQW33gLrhYnd5hlZ710zfN6PUq/dL98HdfvjMuaxpt4FFl5xrmBcvT1cWt0HFvolRAAI0xVIeJ7Xd7Bl9HX799zD0N6urLXsYw+imCkjKfWXK1LuG19ksB5cKD0p155wgSxHWepDGGNdN4uKBCKcRXol4j2PemL5frznNIoAtyMZ5LWeRVjFu6qI4x85NQTutxlnKoRS/n38IdzM63WRO7uY7eBlGpsaie4Po3/AIuChdqClfhvifUZI4IIgJW+972bkzWwAUoyFAt9bHpsLM9R84ka1DkHdpoQxVCCrTJmplqjGOFmo7pByvmVhqBFkStc9Y5Sv2SrqpObfO49YLIevup36+P61HfgC9f3v/8r/6s/s/f/fA//m1H3FmXS81yle4BBQ3RXelL8z4Yx4o7wGiu7rVaIYCm4ngG9l8gyVTm5O6LWihSHP58uudGzrWFklyENxAYcSOkBikTGaqansh1DCTkZ4madVEw4anN5lion/tNuLD8p3ksV1NhT6sVWTQQlSScQ1xbiCA1Qe4aN71nsyX1nttE8PaMx1oVAhMAf1VcLlvCYDV3mSt0+qVV5KQKUQrq0I+VG21PMG5HQkN9JQrJqy2yQ4CnBrTM9qo8sinyhxaqV0Wo2oa8mu3Fr7l5LHtjbG2dKjAqfW8Fl3QaP1iyBk4aQoUzys0I75yIRRI/8+TiUlv+3lp7sMdpNPbhZ5sSKeyTJRZG3+MMAY9HLiXtePtaIMK8FJuwEwec17X8D9lZTnnQnADxGIeIc1bEzw8GHnj1NFPbXCJZUo4BsyKtsHeCxYnP6Yp0Btjkk3SOqYq8M3sd1bJ3A+J8utCyqwysmJU3NUVeUXTYyzkxKfanFToMh7Xk5opXg1AAruV0XV5lbqZvZe5RgnjijfLZIVoFVSh7JEHVwizGhT3PEVAOcG0AwTZnXpVbWm9imaGdI8pijWt82rh4P8jltBL+hjXswukM0+nsHmdu1sLKdLjAdB5UKolQvajIiphHkoADrTVDK44g4pdgRp9TmTe9oALd/eiQkiwz4yHLbGAaU3PxfpD+7h/hT/6zP337zXXfr/vmPRb7YzzP+3UPBLqri6yLtPwavb75p99/fPubb/Mx2tAk+uaIrBpNwpS8PU9OAxoxiUbGRXLqvoEJYKHlaLwmj1Qy5ZH62hnBUJFxdmMTQWkYFDickVwlOHsP0KyNQlSU9gl7tAk3RcQ5Q5C9ZSU7pxNWBgo22PlQYU8RxIyocmWQauEiSQ4qpGZVs7CE0qLBoU6Px2rz9wj6RgQ/itPsDD8L+YDFiJI6x527oVxgAZK4V3NKiwDQTWTIKLh+6SRno32imVfgbDiHcd1CTLQNX02yKRS3oWes/SFRWdHE7dGRsiKX7pobUvXKrFuOKG4J3z4bjeWhIlWXfZSzqATqEeqEUJRdVdV4XPVo10Nvb+j24+Ff/YJfvu/vv6AvX12Pi119Nb9U06XN1I5FLMl5KwLzZh9NnaKPgHUTa9MBbueg3+XIXi3o2upFyGWUE5eURB9AjNiFcM6s6dIVK3lMsWQ/LpbZ9YXdD3YpflnQRV9kP+rtwuOqN07uJCoTTZFgihwuWQRg1DnAroDFPDMSLSW9sA0z4i+P3cEcJXOvoBlewk41v42nXt8+5m+/ffv9T9++fehjRCvJVldXEf24GijeRbxdVwNv9tV4q3578wMqD1HCTN13vV4z7zd+uueH99ffPOff/fD1998+bto9D7CqGm+GsJrTalajg1cmc+2RpgxoZwDZEI/UKu0IxKzyQJzo/PtDM0/NUHDEs9AeMsmwDB4U+2OOH4wGVGJ5N6qlM7Z+hYfLUcc3Et+fCMjH8pErpIrJy94psmkOVi+Ov4OrFUAUMnmL6LqSAO+qq96ufkThqrBQBJiAtBI40ki1ZuMhE0lRZ4LxUlSRMQMY454lvykAU1E5UZtSIO3AXTkjiS1hkWf0no0l3wQoU1Nyn5s/1IjAe/Qyx5gbH6Nv7/f7xy3wh/cffvP3f/WX/8Wf+A++Seh5u/YgJHX3xaLi6cxGAyvDM+GupeiKIEeGarfB8O905xkIs14IadVMMNHlNSOlPLYS0i9o05C1EvJJWQBPbY2wgnRh3cdkJII++N2nxjU31GpxmAHAzI0dXc4yNpHubfUQZR7SSYU/9OLV+UHRK4bAJnYygSBr6MroxvBdIafsQE48f4FVdLGQAagpbBq8cmSv2mApiLhPZ1u+0I/1iDJHpHVZcSPsYQdVR8NAZMbztjrJ9xA/z6XUC2URXdVwO8oEFpISy0o7DYS042eVlk0rguokAgmJbEjwT5EG2RwY1c0qqEsngKHQ7lNgA4xNJ+sL2Dew9VsGMkAVgnu7LzV4Cq285HU0bow7DwId70UqXWB/0efjhYlREmIUyqDIHXpcXmo9eM7q8vM703Dv9bodEA4AB4Bw3A87GCSiEpLFvtwBpCowSi17lAIlbIiAo8UwnVaMOMPJt5r7ZMO9VJS5wpb86/Benw5CmRrCGR6JhVTtXRTh9LQgjjf3/SxRnJErxW54/zaSdZWIFx2xWwJAAOCosuo8M/+8AOsGF493+rTtQ82crHleKfyXWA48X6Uiq7ynRAeY394dSRqN83+rHB+80Kt5WuA09oKjN8wR0zki6jPaLTqfiFLt058TXoags/w2ZubcSivPhTeImwAp+wIeoPvC5Zzd3//h25//p3/8B/+E+OUTUMfCrZnXreet+x6AF6/qq06XPvj4aT5+eOob8FKSFWrFlfdtFdq3SXbqrqJShRE/gyMm0Oxm3DEAb+AitkiySqCK7OpZL1GSBUlwKa0OW5+MPcENjgtkVzZ4w9Dt7MdO/of3llcQl6pDvngK+3JCvJixtC+cst0nuW1e5VwHyux7d3e16LrSJhJgY127zqXTlbvH0M7gZF4FwKVIWY2qXm0Ij1JAa3+aHFqFNSVWhrgGKAeDrYwNDHLgxI+Tcb7oPfJK2NshH6i9+tseMUPYbpfliXcZxwtR68U30dtKGzMH3iJrYx+c7IkrjSdX5Krx5HRcNG7RnCVVy/dEh0Q2eG0wcXhIAlfzrfrBx5cHf/nLt19+//brXzy6qztNuYjbGJRV8yBg3uGcM+aj0j1DZ2fgM8Fxb6oYfQTk1eaDWsqgVKq5IsZNd1RxUmZLWkugpKSAMPGIjEk7w7mrCPnquppsl6v2kQnQDo0gC7yI6n5caM7OIoDtS9TKXhYYIzs/Wtv8GRuDsKzqHB7VrSzLv1sO0Cw1S6+cSzLKlup54/Xy+4d+/Hh/fmhAXFwQ5a3K8IPdj+L1qOqiL1wJ7kAGjvTYH+LHXO9Pf3vNT/Px19/e/937T//2x7/96/dvP92vzDMNNwL6wWoWmGB4537r+MlsXzSxcV298cbVLF5osNSFR8zBJcHCTUCoW5Q4rpe2rFN2DUg0qjwJ458MwIJcyGTsIbP7TFh5pIkZTyUX3utoRopNdu6UYJjJRtHPdRCQVMj47exc3qrgkBXXZiVEFkO6Yrzz2v3jT5CTbxxI2usID1tyXISmpj30lqg+x9+6FXbaT26adOkpFeiIaSuACqu5ACGd9KZs5r2MyttQ55jgZJrFYF6cW/fg/eN+/3a/f73ff3q9XvP69vyj//X3//A/+TPp9eAX1WWCXeSbN3Hzgmsv+73u1ru6aVwMt1FOyCIKxSEX4jligsMHDbeeSCx1SpLgZVlbvQajgBpplFO8Vblrx21FD9ZsRslFFNkXO3LIhSuwGGEOwxyFWyR8lv5mFNtb4tgoNBjInIuzBGffTZDXFtx1/UkTtLp8Hc7ChV6NlwiyKx/saJ2xB+vEcbSpL5ERc3sAIZe3K+hPpPQFd2t4aDIsmp76hWCznbwcnnzTPZ5SjFBBP1PN220x6HUkVOWT1rWZlIUT5FbcKU7OAPJkp9GRLRbWAz8qsoELvqCL4IlvRe7klGIHzcYe/8tgIWtfs/HU2ErO2AaaPMFsxKornT4lJ0Pq1RiSVjpFRKhx4H+ccB+eMjoQHdMm3V4X3tmlkcaMqjtuEsDbui6QB3d9ckjY1iAWUuxYvJzprG32M58Mya6AYyZP/3rU1GmNM1uNeTKJYNs+PFaxqiSbCRPMa9F8m4UGJkFJ4gJvqd0nDsr4zzJmcOmpEDlpj6LzwuQL6IzpDVnZIAuVmawJ5iowQuEIkT8lPY7wpYJDy/k6+YtZyDSIWWah9skH2F9/T/n4Abn+5SjMahlJoJZgLaAVjr5WFCGs5E97iGqtmoe05oK5n02BVvSUR5EMPwgZLIRdmbXpPm6c6jSrLa2otrna2EeiJtqZKT9KqKob8/j+/t0//+2f/LNf69dzgxA8vj2vsd99v4y5uq8iq9qjwbw+8PGNX//m+fwKiWCNh2ip6LGbgxuLL+mAWwk0A6O82HfEUDysswUiRynCvJimNMjNFcyPvrFJ2FE+4yZBetP8SJsNiWUdHqvgKXeUzybajNg7KMbIlTaFMupzOFuYhypQVnJVj3COcLRNTQKuVfLQ6i60fCdmYC3jlaqhDXavDilWtpqV5MVrDCIGipwOWGY2CsUywCsNT34vYc9ey1HpumHVOhyy9FI0pb1Zedtud+ZGylRBFktqVrpRNHB3AE5UNQYe4dEco7jzNUGkzo3Cr7H6vDQ7lEPRSOySEExzcZbQAbHkRIG1fEZuFpDDeuzpTN8WnxJ5Xe6Lzf7yHR+/eHu76vF2pWJP/+BbMDERceMFhS2MDVqDXNxNwDeqfFdtm5VK8Dh6Dpsc5RQqwCHX9bTHwK7RdIXRMuTAKK96mJeLGfewVWdX0wvDX2mEPXTU4akZ752B1KRxmXNXAe7Fd2iRpWaHW8ssqTJd0XFmmOa22glbCP5juyC5QZUK3O90BKBiXrec6FhBjdv8+prvPq7nawZzVUFwUbfIq4Oer1qJlJ4bw0+VP26/f3y8nvN6+b4mbf9PHx/vH6+n8VLdk+a24kN1UAIZCUAwgqYPjbU9ucujQzFVX2FYUzsooSzgTVfXqFxTI4vCa0eG8l50C8YGEcBUwfegLt134OPEedwob2DC6vEQWhtqE9UebYOdcISBGW+CEZ0f/MLKFuwpXHv/wtHPpLZ0EMcMLSHtFm6ePpPgJd9RvYwv1AuohqRTWsqIQ7wa2qHxjNYhYTi6vfmsqwpdoWuBaiMR4Jo9dWJus1ILayb43iStZuXbIdvXLHXjqpE96E48rWw+h0O4bt6sj9eXFx/fvnxr/eIf/tu//N//w7/5r3/66b/56O+r8ELXa94axlW67QuUHR6u05Lla3oLtsOhsLy6TnN84pDSniUWLVs0JqWALHvoRFcyxvrjAK/yfVX6yGHGFD65Zvc2Q5XgGIt4rbBRq8KLngN7ksBY+M9rBWCl7kYVE/m/Es4VKKVAvIOERMG/Qg9A3JDqtpLBU+E1dtsvuQB7p7EHI6cDNSN90+S2WHmTTRBdfXJlPgFlbIFCxh69iGL+qWDGDWtYSaT3yl6RACRhceMKM9A5MDbwJJlFRDYRnAPJgYr37EKqdoKdyd2PdanEv4FtbtIldrpY0ETCRSLjy2RNfx7QwEp/yhGq8PDqkx1OzGYUZZFXaeQoim6TWQRLjxU4KQZGDgiX9ZlTEbm1qUi+vDIcGHaMWOWdRLuCeq+NkSPjqBALKVSXWSEDlMwmK7m9bTqWYMSutWxYr46hvYaVdITl8BAB3dPY53FHuAiWxilpiSE0LrR8YgTvch/ZFPfGnHRy+V67Gk3SZIUoyIC6rrNEkEsq8cus5qqSUiKc5JA9LUPHxk/rpDLBcdclqMuuEkR3siH3Olxdjg9II6AsVZ5teqIFh1LZr1w2LVLtFRBAUatlO46f4tIh9kZFfoYTA16MPm3C3nrnIBKragVeYroKIvboEESCoy3Py2XYylonegPKZLnEmrKD6FDlrJlFzy+6pqrwqov3H/y97//0r/6o/tjE68v0PZ6peUmv0YdmDPDBq9ppxTT1etfXH17Pr8LTdjxmmDFlcEIUL2UZgU75hq7V3iWPLFxRcSKeyZtzIb6ehZFQQHXo0TRg+XGYdYciegRNtF7MNZTqfzYKzefoiitCYIMTw05kbjwOEzAgmzubZZOnkTcUD2xTZLUKOyHFGRS1lm4M0Flze6bX+XYEQGQ4OGO3X+JhGcF466Y7KX1pCmo/DmC7SsOuQlkM2bgleqzFDQ9WLHLMD8iso6aXhC4n/jnRqIqhgUM22Hex4RuoeyOiC9xxE00mRzY1tG1nGF6LbnmCbKRASgI3eHuvNfA62kz+zMS5VF4Yhgu/1NhdgSv2LoAPEU7OABwWR1eNn7x1M8OMGnxaGEvytJzwxJxKJQ0rQxRXhEF0CUfiSth3PgNyKViYXKDFALg5UqMaWOfg+avaDnf38F28qOlKkuIEeE0jbKjYAtFjg24Wg/gG3EbJA1QSMyEAD/MuumMMdlWuTxpFRnaJG0k2go1rQ6HCucXre1BN7ODiwAMkcS3GKNSj5p5e7KiqW8TodePtHr3fr9fr7Y0zaSbEKhka435pJKFf9/tz/DH3x8zrNR8zr3nZRZUeyze/5LHul0Re1VpKl2yn4ZLVe2ujwKQHYjBgl6VCz2LTTZVxu9ovpMc7Khk78+Eyu8sFac5hvCGvg47Jz5xC39XeI3vDQI2du4C2sOdrsVPnzZxyKrLOSMfpdg1Y1wa8XLEtBhlNxsrSx/flKwDBTjCVibImlZWZ24/Hl8voP9HJo/JaedLc6xKmSGrTA10PaXo7A9/n5h8E0lwMsmhPgCfYxQJwW92sDUIBqEIBryai73RHRGLSVDm/Opogb5BGDfyY22XdegGE+6GvP318uS7d14/f/v0f/v2//5f/5i/+7//+/zvv9aXfXq3yjZtJxOCk7r64kZt1Ei/KgTXy7VNhB/JCc5PK65Nc19Kgcjfm+HIXH11VBxeOsuP8DD+8ED8m2FWQN99ArFBrHN3zK4fHp5PRPyu7cVQxCF+fk0BpzAY/g++h43QUs1ggwK4Vidj9cwe0LhLm1CEIViZYYf/PwYRBGne4jsQLVq7nn62rgaipIPjeK1KEzfUgpxfcIhzhUCJ1XHYi3Vl+ILJ7W5H1qxbhwRl/u/W7F4zLIUDGl2ay0kmzdgMXKcWNcXTkAbIJ6eLpmwT3qsTy3O/iZRB1pf3LA1nZY/ZZE+OjTwhshlw7WwXnH/oYPnTmMHhN21VwAhT0CXYmzTPhPsibyVt1JBo1duysaSY1Vs+yXik/E14iqAq+i6XT/QVLy5P30cFzpWyLVOY3rZ5hoLQn2BtoIccoOospVVVOmeWgTfqUUhNQAiqLt1ZTStjQcUdr9pJeSDE7q4NRUY4cH2TqdRAZ/WufWP0oEtNKLBpfkRVYVOfHIfLXVIlG+jVcTP6XLTRtHENgcqqxjwFr9WRFiGk3dpzytg0011EJgJXWXFWtzdqPYXyIJJXbRImiS1YspMmH2WWzh8oSwjCZfkNUwIlIQOQ5HMA2tcmQ3UM6HBK5wMc2y2JRdle04sxUhNTekWQLG1YTlwpotGseHr39pv7kX/3B2z/y63H3fd0aqN7x/Hji/Uc9f5QvX30BWjB6/Pq4v/3++fr9jdc96FFOjd6pPinjl8WWlgpls7VZGjmsKJqeVOnGZLB1TicXmz83cTllwnZ6CJO4Zu70ccs4cQgCZc1aMHaF7KkVvQ7oTU5IRmGtaik+HEI3UOguxxwI/ryJTESlz4frCHUAd39q1YqbMRVEe6pLmmMIyGx20EnTEveVpr9Nh2kn6ya8haRYDXPsBNHaHRlSIGs0yRjhQJdtxrH/YtdmEpRAK2tu8rO4+eR1MYYaZHBkjremJjiG16lTWwHlmNnQqjurMqtuuP8FNFhXyYoOTLULMB/x3DdezVC0rLjsKl/VQ9fciX71DkxM64TXyxDa89RN1ONtHlc9WOVZe8HLt0djzbycPKQBaOMy1F1zH1a3doGFewhkKvGQq2C1ARSoOew9YVLAVUlEh6sYyo+Nouwypxr82QcmmLJ1dSMIx+zsm4UDCi0r6QmqNcmdWxUMT7W0OwWiMKzLdgetuXJxNgZgV9NVlZUmAOhQhBFsKl8qS2fb5yrg9kUm0mKE1vCqYN9P8+u354+/eFx9FZv3zQ7qXa/RE3M/+W0+vj2f3+77ft63cFtTsob1Vhw+mSX3Qrx/9Iyrjsw5SgAwGedMjC+S1NCo7uhuqCRkgK9MB3NVT57YYFCtGdMNjEZJT5zgwV1wbO6YdPWaGNaRUaK4FcFRYtK9ZB01c5nMlsz8PkDm5VHnO3W6rATHxLCkTDa7HUZ7KvSlgyeiXDc22RI2cNlOwMPChoGBDj9FOPNtkfmuTU0GcsPbme6kYrpQ45kA5CGgAUFJj4adO98GMpiyFgsHTffxxIAFixxPYIeRkaj2XUVM+tdq5hijHSZlnEt03Rr3COV6Pe9v7/347uO7B7//9z2/ff3D/+p3//1//+/+f//Xf/tFv228pp7umnhS0xsliSFYZYQx2czR3C6lv/FowG0zBW++J9gp5bgXSrYTEPyelRQ5HuV9CiRWhaWBPXCtc37bQQLBebl+Y/8M3AdQiAxZYid1ZjGeBmcFFl4lz0pPokv4lB0YicTTsghgQoojRNsKIYlIuc1ieuhjlE0CxWmCUi1dtUB6iq7PSjRXBhcUPZeqBRRkXinSAnnSFGZzWKg8x8XHptAuDVbt7yql1FmsQcjaCaqTWLlI3IkDva5sI9GB2K0RGUj6NICWZlHGwgJcuXFyiho/V6JIrgWxGcInlzdgSx4BQph7NRcLSZm+CsoAGcyp4/bqzAuIrlV06LYMYE60zCK/hTiwc69vX0FxdilvXxnaqK10F5W1jkLg87nZqJrdEuf2zIK+vVdDec2wCG8VkmPR2PQM3me4lx59tC/TrORA72iTOykMdmTkyQxRej2AhduHd4gCL1hAir61Ii7O2mVH+FMEe6OVIftaRCxPFtJw1UlgYuW2IEoVhgQbS1iQdtUNp0dLh7rKjlrOoTpzYWmYnb2UwzkC09Qf+VGLO4osa1bCZaCidgGWEjscADZM/ueiZmE2nxy7YnFjrs4+U6EWQvTu4lzJyeD4/LGBG7H2IiA9VaMd+WU4yfVn1kbjkOV1lAX9ZTRYht0P3hDuhqa/0x//5a9++5/8Rt9/hV+qxzz1rvv1nNdX3V+/4a7rejyqWUjCpD70/uPr46eXbk0AYGlMjGYaEnnFwHc4FBKfb1fEufwKJPxa1JcGoYrliQEI4nJLgw+cEOI8cd1hs3OR7bog8oYjfggEk5yKYmFy+cSInghzVHFVZgTM0aa15MwxqTEtukNeFIHqRnxyjJ48QZJykizJGB7JnAFxsla6jiontzZIg+294VZ2q+1XVoGqYhXlkpJ9RMhIhMuB9lfdd1bclLWIChefKHKYGTtDg2yv0tmx/Y6SpZdUZmRkS4EzCRWu0dShv2B0JuEKLgEtpR+IUlVUbVycdF0NjOHmAzWCNMid1oz5/gLutOzYY4aA4nOqt4TPcrc8UJc91ri65fn2wUAP/dIbfV3+8ih5mnNbAp9CiBLEX70Meb50GQpbulOFc+kCtiOwShoyCSuiGu769EEQlkQwo15fo/kOBCkj067RKl7caZfl/HFE73uTVaxkNyQ/rDB04zoCzDN+oAoTIKUafoV6YOET5Isa0HtLAZgOjSUNcaWNJUd+NEcq/vx3q4xN3m+avGjXRaudchySXv6p8Lc/vQh+/6UeRRbGLum2fnzN1/fn15nnu2/er6dwpY8tr46jpLvsW3glB1Mulu+bj1R8cJNz0xWFI4gMuBtXtBzVgNoYRkZxlUMBgi/hrfBE8cbL1biFAl2lidwMrKBoBoa3Zy9JlgWLt22yi7oRNzphNCHd5ltpPMU2AxZms439mADCGuEiBV4LcoRuShFtHf+t974RGeERxtWCSwN4bLGsm0K6Vybko0rXeMrrBLY87Yt9695Lo5iaEjfuSBYQNDimAi0bLxh8RRW3rD9tHPFkeGYXMV11AjV2UGFOWiHqn9ZWCvFUyZ5yG0gkRTcpD0ioXhLx8ZVVfvvpruup+uPfP/76j/8U/+h/9bt/+//82/vfgW8tT1RKYYIK0AgFTHQtwkqjmYItV+vPJInK6/ElhqgSI/BQbuixqjApVILNp6hLyERgd35yfCnJoZjQkjoSzmMDGY+qZKuyPSiXES5Y2liWEJhQ8myP+SnAQ4iKz8IynIN+FrjAEnG5zESdJupEAQDH7j4FsxMqE3thwh5CXG709UYdedUfII5EO2gSzmGTCTa9nQoq2QZrdFMmqBXgSNyYDlCW8xi9ow4XejPoiUcAxdWEJHtq9sjcHuOEzOV6PtHQC8VjuMoCuDoMjn/2ylQZktgpPcPNpdYHfEmuqgn7kvI6q9tTO+YbXv4isu6shcD8n61BCixVAnWxcHXE2WEAvDU/DcErgl9sEqzaYWC1As0thxVDSqxHZ8rX6qJJw1m1qcpzzKAp0QOxaRw76mzSl7L6CkEi131idGzMsoh2JKETqHsFV8jo+SypEyvb6ATx8xaix6/uPeoEeEcvJ0igtjTfpxk6BoQhJ0gr/cOhzdLfFZLVsPD2Wg+Wz+MFjNANLf2Qbnfpg00eSkkRQSMVVDJ1Z9SCY3VK+OlDoHGDIbOdKehTx7JN4REKsPNBNeHtlBs53BiAjQxjgkEtOBF5QdhkoCZEiHYQsfLrwkotdrG7qk6qmGr1Kx6SU3VFYAhitQMuFjOdQguLldyYYbXaFCRefRX0etxf/rz/+F/+5u2P7hdf3Xzect3+yvujvr4/n6h69BtndZXyPO9vX+f9x5u3RclJ42/kruN904xlHYeAX4lcWFZOerUj7OgyfNsNljeZ7XC5e7obFW3PnMRr2Mn1Lzli7ceE/j6nF/fB1WogA3VeOclzmndrwLCL3MeIRpEcp0LDKapqN7hzlkUBvvM3yGujO7KusK4UI1cYgwAOAJbVsTDszLjtNmg7s7UybcIcOnQmrRJzMrkRwnafrPf22/YpRFe7BufQTXRAMi0ksDOyyyCSXBqnQTUm4Htxo2SNyR0ISijWlCP9l0u+1/E0HbdyVPI1AJMOXWW6ZvbsAtf04+qG9VCp0GB3SqLCZbqmzmYjx6kajCKGVWhyIjCtJYVklayRrkuat6FQV19Ey2Oz5QfaxJOvuaP6J8yhYLM6F+Xg9JHrQAgevucVlQ+RZhWEa5J3H8AmqkODYlXn1hp0src4AqF6lFmsC335IpOUiXWEgnKEszysv7JbVopUyD0sVUIPcvZvu7+QzgpFFgYzukNXrKZ4wU/D60O5ImBiwv1UuMhrMARxwcP97YlBuPwgaX98vP596330/dv9dj2+PAxbkoHn6Pma5+t53zSzqBPBovhrvTex1Yy0W8mqZ88oarea0GFKzFeWuAPQxgU4OM6HBW9tsy30A7rpdt91G7Qe5IST9G41GddtqRwx6+pCZWGWrjTuVF3aeYq47YvXYKSLNShId7lv1kWzbozNulGs5gxgql1JHc2PWvahQccs6qRTavdC2dYw8kGQmLAFpgR5bAd7F9rjrs1AiJzNvahFaUBM3H24HEGVFfyNRrU5RlJk4p1gHM8l07ebdPa11bJKgTezLRPvnVCzZJhZVZxcZHFxuqXodlyAn1bV9PKNfvkNup98/+D1Xn/9eP7qfv3NT7//i3/xF//dX337b/4v/92DXx6PL34NOKOuDGWsZ2pYYTwV81++OjfFBJH+RzWWetoGezmCAyyHcSzmKiFzoObTrmUypVZwP056+3MdeCGFkCQgdh4Q6DBMiIY0v5OneUhdMwnJ914dkTd7dc2LSZ9uopfQ3z8/RqEDs8RHuNktYU+jfojupU6RCpppUbxCoDUtED4hBAc4qBwRWB0gC6rEYCe6OnCHI2yocNKGFroPYxB0JJJGH9h5MTuJq48MFSll8YpYkWUkjapVYYUuqSoWNu8Mi6E3jhuDHDaUFt0sUCrR6A5xF/HOzpMigGulllyia+FH2Qksootx5RMa1sMkdj/lZ+R8zjSAWBj2FE+aT8Pha/Nvs+0X7yQ2gj4BywHvqWVL1nbjpYZs2BMeAiphPHS7B9GNnuAgDIEaZIJMRBUBrFMUV52Pak8jyUKTYQk+7wP4NMUfF0YG57CjJUwlhe2EtlFrhC9N6Y8qa2oxoY2fQNYUHdNdwEV4HUZo0mIDszIKES2v3RZRAB01R6DeAVCIvSk9WlhXI17tPciTqamKrDFEVfq2VIFOHdmsXNJ/hwsy82a5eGzmb9ffAeOzJbLVAo9F2rVA/jaJIFlVI9qzSSdxhiMu8FKmC/NzdSOh7FFcZNZPeibvDgjCGgVdUvRzAsTwF3ykXCoi1roCwB4mXAx8m36++a7+s9fv/ud//Ot/9nhdL+sN9v163e98ftwfH54PBTFwF9M8vjjfXs8f7vmq51MWMiPQvixRmuUpu0ynOMspdx4NT2YB64AUgBLKglIFzOBKN7eJMWNcz99XGdYtk9a9jIynTt/+uU6TBG7f2Xd7HxXpds6u8743uDo/grnk4BCQVNeDmGgFe7GyWjuK0U0FQfQ6N7kXU6vuM7tGBcgSijNAuQqe0AleS8ICcKpuk+0bWJEON+h/RYcdAi4IPtkBL3IZca3UMist70YNrcvBIpOUhtzVhz1wBltmflTnYkre1x1XluLIDF/II4eCrSbFQiXzgEdI7pgPCZeb1azhq9AexcFQjS6PgKYb6+9Idcpso/w+IiZM8nBzA0HNkln0sMqdZHdyPoDrHnZfhKB7kaRI1KCKi5NIb6hNjTOTC7QDiVbHuRvcZnPsy+WSEzVpzwUOxsVqwU0rAuM8TyJJSXWZ1ehGFzrdUS7lqtqmM4qsHfe7dJS9bdUmlairTYYcqbVqbqds3+ULSceqihJVcFk3mtylGAiJwd6cPEmb0TR21LhNNiy5Hq07TpLtL3ClR/EPP72+Pl9VvKq/e0vQP9F1e/BaO+kE1XCsGi7lbYXJiTKNAHrT6nUkZYvBbGYWHTNds1jxyjKo4sMXoLkxfcHWuLvGNP3S/cYyRwVoW+arII1cVybo3jDu4mPKeKWZrr2wUtZZ5Zod+CdMb0lTO1GLs/5+K46BumqpN6C40yZkN5aGICQo+L/PFbSYvVbocUjhVxjwgOznhNGk7BtF0c9Z2lhgaeW4Fbd0mevDW30K8jvBcCfZwVaEA1OoCZ6YAkRGrQ95T6kK9c6V8K3ygCEMjUK55Q3xy4MyAGYqHWBY090275sf73grfLvu6/H+8WO99fP1x+//4v/wD/6H//Z//PbfPH/l797L4F0gqydTaOJEZIXyUnMxzZ2SvZC20lZzjfyftHzqLW0heITzJFEKXSE7e6R0NJ1Vm2rkFSgIwCe/6lTW3PN3Nb7Yiwj5CVi1zgABCzI2MpscmYOTkjj/fA9l7q+ZzbPPTyMQaA8A16m9tMX2GXkOoDesDuf/ZcaSP2tynuIF2zPhzKD2fvC4O4NJ7TEBoJxENgTnD0eS3+GfH+7WlPastx107yxwMMOl1r9gVtlmMGgDZEm8oHP8ukPknA5i9eQqA/JctWJNLnB6lFzBnOQ1JMJGBtgEaEU8NNp1FVGYLbtVhMqdqnMiXK1DpIS9A/Nlkgd0REa6bW3XlzMlzk44obrcuIaUHyCV4vYO5QmAEe6aBpo4WVCw0UMwhhfEDdbpvRYFFm5BxCtBx5boT14GTEKOqaW+BXtsWsMcY0LZGEETDJzylCbGy7Dou8ZADohKrE+IJZiEt82VmHZRcUFR0BgKEZ95JPLMeJuedCB9ts3YRotw9HPe94uAirZGgDgghHGSavNi5oS6rAsjh9huEh/bilSAkY8AMhm9eQHhLnJKKt/Li//XFvheVYS3n5hQvY5V25IQ8UaiQOz1Z+aLhiVYwiD7cLcuTLuO60mw8Tl8LgJx5040ymLn33BXHJaJs4pR1IUeCGw95XkNxO/1x//g17/7y1/r19/e8UHx4zX38/X+cd+3nt9uGG3VsFS63fZ8vL79MPe7npp4FTSiPHINPEU3XU66FHxCeDIO0AHitTRNb7tjIrsUsYbAiVNnNO1F9CTJG1D0xPOzOa6ajTYo1xLB/bOhMxj3OmGrTMpQjTsN1qfqBEDelncG4UoEh3d8dhkTu28NhYqqKzcohOIoatmKZ9q4sX3Dqu3jDTuow2ymGk69nhu9Inf9WW96UCbsbd7bfO4Q7wIzshFxm3k9fCQzPSw7eCngM5GbvGqlzWFlCyxkrhFDycUOMcqHOGb4sU1ooNDZGZKKCBbipMJhTv0zkXU8PtOE0UarHriYSRauqoouG64KoLsUqneLOZq2yMPtzPLNc1mcXFb8mSjOKIfDjGDJuifTQFMAWIjBchE872CGQFUrbsLh0K/1gxfgGOzzuZo1XsTYCqXp7hZwchx9dT1Q/eCXR12Fx6Ovvvqq49wwAZKD5NacJ805GEJi7klWFwGU0WYjEXlmpO1g46oHulDlgusCG81hoeuurUKAI3m6WNWuL3X1dfV11fVAJs9kRC2K7VtVG3vWxqP5wHKtXYDwHH986Mev89PTP730/v7x7fl66v6QXjPzeo1eQK5DyF4vEtGqcpLmB84fiP29aJSquVoIrSIb27JGGAY8iIvExX70W6HpzdAqP9oPwhceHed89JIR0z5Y8C1mNHm1t7OFRd3CHTOzAZd7hbERb1IR4QR3hnFjBM/M7Zy3uqGbkD17w6uiJIxqBAY3Pj1b0gUrHl4MRxyDhmZs4JZmLAO+cWMkCGVwQKCOJgIIHz0kPaQH/Ky/ikEe0qcE9fcktCW1V7x2LBd2qEnzBB90J+21yGJMPvnFjLSkVOmxNQdZX1mJElkUXzB21lyxrvu2i+P7ft0f7/fr2/zw/nW+9fPHL7//8fff/4fPf/yf/6kemldJD6DZi9JeS1XhSHWolFnLaqVYTCycztdnbN57r2SB5Mz4zFHZpKejMUgYoujkiKZ3OMDialGXCvSeTtqhfE7FvtqjVEnYv5gzmyfPUufoj+LUSk/qNfHub1yNi38+8I296gH3KWxQ5VEYYeblsPZ6qsXNDCt5PtGgBs/OEgqPvl/Hx2Dq7Y6YxNEoRxKBa7hKrJ0Vx3OmWuXAzFl1+5UFr+wfA+5OyOtQH4qeh7W0jXyG2wcGD7ifT5hvXW1vuvJmWIbfUKrRla3Ahcru38fGRK5J6POSQt5vcNsBtxy0YlU26VyUHgquXB9poj9ZGqir0lakBjyVHb2irkrUVyM3cdpRs+ARNpMqrWVpG8tgorl8ufYI78pOE4BjQk8vEWIeZFlircad7DRtk9YZ6UeiTN4Rld5lV7tyo7xs6PO/g1sFB3SC/Sjfd+7mkxkNwtE2Z9wrKilQQuQRgQ7zQrwAO5YyyxNQEOQoOOBydAD6LP5zm3mxTq0gkPbSeoTBRsV4vRPD8uCYxJw9OLN2uGmA2NIZ3BI/fVWadEqrKNnnlyuNp6mMTGKzsGrrpZMzpmXwoys7+n7vJyrgsxGQyxfTIgRd4cEEi056gxZyWdOePDviI+i7ebJMSVdBgTMN8vJV9Bd+r+/83Z9df/9f//bLn9S7PhpfbuL9fe6X8cL9lDzrL7lyUfB+fz1/nPsnPZ+3bgvkkFUYQHrlW0VgmiNXJjtTlpN2odE20BG6R3lwCxlRGV1HDvBPOMLeaB1FjiHpbFgsor3SgJoUueX4eqNpnJXOLr1pbf+Wn1vRbjSTJZQRc3fhc+p2owmMKq7SFFwh6fbAgCCSM6yOuYGADyvKGqcjOvvOpKnYS2qonZDNdTkEOeFGim5aRD5uH2kp2V2azSNH8VDtZactMAKcG5X8k3JVCwO4OqZNbLObKpQ5gSkifubRVmDVnGyxNEcxlKSaOySOjSreWhkTKkcHQbFwVY18Gcm8qe4qFUqYdkVyzEWXzrjcPep6ga6otmoxmEqCReBVmc1ebUDOspRUkwEw4xRV3kuCWWtLhu28Z/aOz/DPSBbXL18v3cX1wHzu8JInFpslzveWv41GXY1m2pq5itdVV2e999UAU62pzytvR+WYHZ+rRShthDQKJbrDxxJqEJc3FJDA6b5MgpXO6cTe4YjECjXEhfIDqxD+BHJtbqbTmQ8Hm8sKuYmr0oRgCeOqgt9AVNn3TLM5ZjVl4fXSRQMeVedXMwhLs27bvLmnXy9v5SDdfaVqGaGqEkyaTJyQ6kkJDWbQ1cFMYwGkUGhBoro9o0qjmqqgnTIL8BVRU4bXMr6Au/R5ELNYd90h3AigZlvYrK+ocE3WPe5ij6fsdt35I37wYcvop9Vl8G3nxTV944SaeTRLqmkSQvCcKNjpl0wMkuAQZTucaW2pMjMMkX0fnrSMiatwJxgbiAjXg4wVxVLbAdEz0Wi/OBCzQCGZS4vnltegulVO1rnsLmjDDa3kG6dvOvFZk3Fq1amyD3xv4jWukvjE8Mvz/uYfcV/1/bdf/PDdF//z/+1/8OP/46f/8f/2resyiQbuVBIoHIoQ3KxwrGbSasvoJfo3MYQpA1e8s/PSXWcJaXHHXJfRXS0YvVYUH0KOxyNw1QLw3DMZlTy0+MNWUDLrzM1Jm9+2Apu93BtMBxPVbsqf5ZqAwlGogLuPVyogk6V0oVElemneILRRe+xfBZHUtTSCqc4WgsTiY2sPzJU3diVZLvXQOe2OhW85emw6Bs6pnY+VZL3c7j4E1gp6aXu2FQu6sqcOoWBrwWIRhAGfN79p3pmKyVSgyN9hxdPxGTL5WYlzA5LKmIxDMMAOEnV4dzjYFRz+PBVTqj5lEl5eWSB08bSOwQ0D/aWWtTzWbD+FXV+p/vZmO1l/QerSciY1AnRUXKhdbbvB49TJFrN30O5nWOtwB3qGpGHU0aGEC+7QzEZEXkKSU7gTwbDjqcJ5Bbu0IVDyvZo0qnaYVrwfmExCrtPcxvafvnSEAJpZShuklDD3mf3ytjDUhPFdDZfRufo27uL4PQA4sC6LbB+v4yrasq88JBeur6CdWfWRYWpOchhAZ0TB7LTzkEirJj59k46ARIkYWcF5vH+UAgsUUa79lF2nQQZxKCKwwL+T7BEoIPOiohgPxrItVcwgTaZ2qinsOLs8n/PELbCa/rStMl0FufNTgQxHyBrlhe3OY/wXbeGhR/9Cf/xXv/jFP/0y18d1Py635p7X/Xrer5fnQxoC9F09VTCeer3j60/38yW4MMaNxFBI0TwVxqF4ymQXQvebuzI+yTcpceiwIUUSu6freSCSFUgCkJMXxhn7JmzcMWsGQOO2CwaWJvrUXx5GtKpiJkz5nkvoHECAN2xjG4R07/LPzvbcgSkCFx2O6mr9HwdVXjh9/3Mk8jYOvJ9PQzOBVKqEgYZuCMS83+WQVk4AX9RwUiUT1bZuwuQOQCRQKmuhPLB+Ds/Yx7K4aXXXtrHdwKNQUBe72EStBbsEYuf+rFLAgbqlWgiI6fdWPIgGcHVr3cwLkDGPQigYmb9SaKir5I2AtlC806dchJPTeHLVwhruL5G3wdrifOeSpyhwKUXtyNFB38BTt0BLXUThjEGnrKP7WVMQ2Y0j1ozqz3PvycFzeE+wAebt+ZCewZYItr8UH13XdX3/3fXdl/r+7e27L/1oXvSjqiHYl1xUVQG1rQgJH4EZc7VUh4YBtz6gG+7io9yFAiv588SaiyuqrbSZsRsUr+bFy+xWs6r1aCUg4eJ1sa/ut6rHg9dVjy/9uOoqdlVf9YUq6iIfVf3onciVRBuvEbJK1Rf8YkxIMpvVBYcYX5YHdtb3eApitaoByaoVW7AiPaKVdjpLlizg8Wl5haKdS2ilq1lqqL/w7eKX9sXui4/mxYicworkE8TxvGBEVW2PZw6mDmMtQCMF+WPqW6YVgcOjFlA3xIlvoF7ic/C6E/FEAM+Zl/3KaYI0NIP0OIGxTICdAiPUs/m67ZkZ8BadkCoA9LRGI98BnyYLNgLYPSgV4iL4QV9GaSMtM+9EKRYITYUb9cJGW6Kw8j2jQCJYaKiqmKjLGKGKqzXCZHoA8emXB4IDiotFVhVqdn3Xcjk78pE3fAuvb/j46X6+6/2nb+/P+f3ffrt+w3/6v/sL/akGr+t+K5Qe4sVOb5pDykw3uVAmuVdq8McAUHXI362Hs4fMWoF/MdkQnDQuub49cRf7lMChMrUQSKp/bm80ObCicZUCsptEH4ERvF+X3mlzQWEg2J1wENTJZVmyIoxXqnU6I0yrqhYaWa2nGyhW9Zb7KjojCOH69BbAxQ6ceqiPKLnOyzNupkyUWLjSrq3q2K2GFon3eNjFpclx6m3vbeWgDUQKK5AHIwVzdHitoKFIQ1OAZG6svABsI5ZOMy6+K9cJHbhtkVFXBvMY8FhcFCs3I0i6sa1drrPUaJe3hxxUJrV8lnhKsAwOEWJsjn/oPBpJEghqkLjJOgA0Qlh+CjGydf0JLHUcJuu7ILGcf9DcmNZ5tGMhGy54E2vExHTk+jFYsdodSIX1c3hUKqmC7yhfCprsjM91nXev1O6sMDbLMG0QzThatXKv3unKUbUzIGjsXHBEiqvzty3I8Y3PGSi4mhvTvTRuWkhvGDma6WEWO0elHwukO5CCy48VkXEKJVSd+LMVv2xg4YryizRisQ1wgkQ3BhlRlDER2XI5+GU8TipPglg+IeuTGoo0eRSSel/reE3WpPdJU2e2hK1kOp7eRkcuaH9GcA3sdc3bsFGu6D6rASUS0Md3H2CGVWH5uF3lTlVKClXwiDhBLsPAo677+vqH/+z73/2r3/jXT7/w5i9jvz9f8zKe1HPmlm5Iuvpqwar7OfdPc39gnlKGRYCAR8BELOMUorVyH7ucuQvI5ANsrk6jtvLPlOkFEJYWKQO4WPLthJwzPwggpCpFvVqb2upTbG6XdNiv0yMWkKSaZTQBmrNnLevQMWk/vU1Iyq4FOHiclU6yULt1sWV1Fm7k/aAzkDLH4cFU1hieilmHVLuQUgKINTjG/saRlC2IBXPTUJfPCaW1ajzk99ZJuIGwY03yrxtmJWttkyqKvQOtCNx1QcZVFadtSH5psukpFDEaLdWRHulSrNhctKrOYndE5VGlp/WLISk1dq66y+gIcaParSqTGDPffM0S6nybIVulc2eQYUrq8Kk00NUh72Mw0QY2reaY7MT+TGWWPRm+b/pkhcMx3p1ThZn+YiflXcsFW6gY3+LgafBFQ/5Mg6yrLhUudPHLhbfLZKKdRPIq3MC1KI+LlTwGzC7NHIWQ1Syw13a2vWoVL4JVZd2NCuAGAxM5fSVKuACSTd4BlKdxEcWHKCJs0KqJqkKPA3jUylNgVN96bQ0IPFgFFcuVoT176uyRZXnjEUu+fQWyLjra2d4s5IKlxGBHAY+eMtGP2mD37on+FBleQkOtcpF0UUI1a3n11g5yVHHCZAX2NNdw4suVUTuSmq0tT7eCpJuvCbDOeuU1ehtvf278IqUEv9kJN+FEnDu3k5Ub+3g21eCDdwvqWrenh37Arsk9Huqih6fnS+64AXCigbqTtCPhruLc9216fGTf8ASaPjGiwccyeiRxEsZKIBbxFRNxRdSEeouAwcLJrI9KuxqjHEO5+9GX7Rrl8CxwPCHpwtvKg+RDsqgJ1qxVJKSvSEj2ZoGOXbpQ4yle/Rr4gw++fe3n2+W3H95exR9/9/s//ze/+Yf/7z/8//yf/od6/lrV/fZ6Qq63yhjuwHF5T3umi6YqW6LMM8p92QiyVO5YoaG9twVk+lW0mSEvY9TAXtXpGBDGgeWjiacZ7cEWefsOsRVSYH2Ec4znxWcGoAG6ptbyYiGWt2Bk540uJI1N3s9kq6T2Y01LtSzSnp2hQlBAblsitxYNneEiuV7JIycydhL4qWC3quVizdlBiane7gpjtbm58DtZMfjdFm7LqjD2KmTGcIrL80dTSNWmTXATTyPqcDtxfXma8rF4kkv6Y+2YKd7WCNWne8p166owAl7jg84LTggfiohJxmUw6FHcbVsdFJzpV5ao0KvpWYKZJ1B6FUJFFWIaCzii4xlwjFzQrhIeK51PNa37jvEjXdB5ZLZNr+MwPOpp92eREBUd3zn3J6f4Cc4cdoWwZy2wAPYcy4ypiF9su7wYfbj02mKZGRu9RkTOcZwZsEYWm4LxSmaxA+86ao4tt5iYirA2ghXvGtIx26zwjVJYsgPCwqe407ZhSFpBFLHwFpaLoe/pn+VwpsacMW+ZbnlYspwhZTgYSSAUuA6LZPnICLL1uQKzwLgej5WSVyn9uOoMghwiksmUvr3MQ8X0k5Knjphrf25W50KbWR9FyrJmQsYeqdRkNZvJNT/dCDO+vJCDcA/Hc6WJNZVu80Hwn3z8xb/+81/95nG/3quh4uvp57eZb7p/4sdX3EKNW+17TPrD7z/eP/7woadwp+GBMu0gpaETgwjAoyRWiGYXjYVdsSCIV5wTcApKF7ElXOA33XF/TDS3klSSR0BqbKJdKXZMhtuKKouoTa9IPdmnJELUJV47GrzYTBD0IKw72J7aIB4iPW72ZQDP1Q0k3DQSO2kQL4JsUcyEbY+tLPmQ0IQEXyY4THoWUuqp2USEbhFurYh04f0Ibg20VamxEL16Zujlhjm1IlcpF6DqUlXkd+kB2k10Rqu5awHmWt3LTlBPGaHDuTYgRuO3SR+YRLXkujMAcVjiZm45Yy0dtrZccJeuPofCSgWRgybpN2VKjcHp5FiGe+AhomjiWp6xie1FCrOdsjPanKkSM62Jvs8Wk+HqgiPRdvwoeeWLYgk2UjtghXcRkmVx7VloE+UBYDSr7esiC8SrL3x31dsbH49qqkrXxQd4dTW7WWxw8+/WPZocA0su12TGaWCyqa07VKW1M4EgS5EMResbqEgsVPFCMGXhKm6O9LBVrAzyvrrL5HXxokFl3pZi1r9xgUR1PaofzbfH9bjYV19dD+DKgox/RolZ9Q7WgEZOEKcHKRhttUG4lYF/EaBUEYUqVB9v3t5wFw1cnfNOBVyFzl8HYIx5pW/anrrbF4LKDGLwyYnUdFddcF+4qhtkJ0vMXbokik13VxNVuLZsIxSG8Ariy/VmZilEkWghSaQ85xpgRsXwmn6/9fEc3X0PxhrMzNwJ/lRovGRq3JqA93vRbWRjQb5ddnnmjrDSlIB7dvS2hfBayQbiLDpUFVRbIbOxd0adTylltJxjmIoOCPSGLydaUkQxd/ZVnIsLrMWDw2gWWESpjIjCpEw+WhlFrlTKia3bijkEHoxJES2NLY9fN79+vL/fr2+/1/P3jx9/+Ml/8P4v/8u/+M1/+Kv31ztYNq9ieQodwV7OU5AqnX2xpqkc6MH0D9gmohPI0us9X87FPJ6ZIgqXI94k5K5GmWFATukF1qLYzEpLw3jaEK8CWVvH5GZuBJDWfpydaeGKRGKVQVu5ppxRNF7IxIsa4BPyWt1ArejbBK69JlIyp3BbSD0atzwF+BDltfrplBuz92H8HIBNTlx8Mbuc/6VjInfQB046icWCVy2BVVJ4BYmRkhrAJmlbkGdTuWacz3Psr7GdRrHLU7svXl6fYJ1qN+N2mYppkyYD0KfQMHPUx6ZMDubkqe3P3Kp49ZBLzGMGt2IaJ5SUhmKMAQswcvshchmboauA1STEMcNU5EiP6TRzgHgb2yET2Fpx+/Zo+YxyAvxkbNOaFqei28GKdpAFqMbJNQoOl9Zp27qzzbUIGYNxzemmvIESkU4Zx6MK5iI2E5iWjj+F/NiKb1gRgxRrjJTrWk1//OPS0UyBSbRwhNFZvuEnuZGkOPX81nCTOmb1E8FEwzF510LkQwofAeAAEAmJtleLkDdeVrqamBM+o/7SyidYR6s7+TQqBzbwBgcapnJaD6kaAcdsjmhk52hJU1ScSHslUdFW+LagNKukBLRow4pp3HEA5B1vouaeUKu9zD8tUrqDG9CdvUOy2IFNiybUVXXXl1//6u/9mz/6k3/6a9/TuiR8vN6//fTt699+ff2Ej68vvW68ohszVff44+P5/LjnA5g8iiv5/0l93YUupO5jTcc8ad0a2o6MbdkpCjCTER3mbSh4ByAvSRMJSHmQSLGU1iY3bTBLW8L8TMkvmTATpHjtctxw4/jRaA+ylVewRxPnS1QXWQLnFI2MLm/lPSh66VBJ9JCpJTGWXrfjEfXKZMhJqHCQcDpx2HtplJNpa2kdZqQ8e2NnkEt6wO0QlxVV1gx7B7m6s5mh/SuM3+Wc9QLAvoBSs+GpUswzrNIEzmXwQJoxjS0iVWc43eoW+3TlQIevXKAN9GHb09Tlzpkc2BUJGnlHw5PAFiOkdQzzGaUSz9CxOsAGp5KgkGPcWhUwJ7z70isql3uWzwk4QWAQJLpQRMdUvtY4Hnr9zHDlEdOnmImcEg2qJpkdEQ7RTrkJ5NQHJXf1xevq6+rpVtEoXMUG66qmWbgi+akaqjGazGRAg/sZmheJDL/rMorNVA84WSo0m63ifXMdTAe0HnhihToR7hFjc2ksVQEToeVUlDyVGVylAlkFdFe/dTUe3VfV21VXF6v6YoPXlcfYTRXvi3LKQpBoue0IEnRPwJuETPuatAlA3XvzrnYtGLVRLuFK41os7tzASYrobgd5vL5hq4SBRA3tstDcoN8GzZpHd7G61BfK4hULqUXyrZprBL0qUpyFEDQjJ8BmEuUTiNDOPLIc8hmfF5nE2aXooFev4fOej9d8fOA185ThsTwZl2AXZnMleeXFAxaoO7/Eku7xWDNzeyTpNYSh+CO9Pb4rwKVRWpmhA+Cl/U5NFp4tzAwCINsmM/DHZCkkbGouVLEqyqCaUbPBK9q8LLhPwQo2qaMIChOyFXJVwRdzsxs6HF3nXBCwlaA044+P58f94w8fP/30+vrj8/n1+T/99G9//c/6X/2X//z6ozf8/vn2etDlLnNIsxINWcXkXgUoZaxbQbZTLUUpxKtSlFRG+SYhGrPG0tV8bC8W5LwalbC+mfRjlRkaULqBk/m20Wkr+kzJhIAKB0t0dCGY5WZ8BNeTgiYVbmq/nOCdXipSzsAk8XG6fLAkELXKIq3/N3st1q4kJpALTtbBm23JlAzbcyp2gtZyWbR5TwCO5IhhdzKUIjylqVc8DeOIw4xMLUmGdkestKWtN2BOdtObF+HcjZ3zKxi/AW1zbWM7Cob03f4JlTwurQsS7qh0g4pMNBB1SH4UCwMlawtzLcUHktQc0Q+MW2oQcmUy7+CIMxIet+J/bjBqPmIl2yDzsLFZA/L6F7HwXMWQnJ5TFcFC4oDWMMiVkhaJomeA8LqhhCwEm9iePl8PGIkmx65cRLuMXN4OhkKgJnq4Y9YL/sxMD/q3SUkad2Ey9HGlBj+HeJnoszbKwIhGKxkaGwZFr+QTIqeceIbQ3nmWFwCe2Q1bzqZHTBQn04bpRGLA+ozZBDDjFdDP9mBpGLj9Twlz5ssiIgKc0e8Cd3AGjs/b2JmJayJxMTMRYynkzd3fKxfxkmc0brNqzBroEl89mK7TiWfx9jZ4FYgkd5nNTWzN3Xxwh21oI0laBreFCRhtwOzoPQwDk+y9mEgSSYKNIE3tk2w4N8gvvK9v/l5/7z/8s+//s7f3+jqv6XmMn693vP/eH79v3R8Y1XRl7FfhYs39mvd6/jBzC7PMie/TfNocVGGW9bzNVcFSIHpvFQ+gVk+g2oueggqtmWpaLrMu08LwBT0U4nlOZPHSBUFOcvIscoJmitYiJFX5dHwk6UkSh3C8286bTdO/P4eApLvY2EBOQ2YXGUu2CfMGQHaxwdX/EHSLTCxYQmt6ma+wncsd5K6XYuFgUyuOAOLYqAhDsYA6VOB00awpNYojqOra0zL3bMcWkuEAZk90HLkOjXpgmCEKu/VhMTHVCQXz6jIySHK5NFB3VaknaI8u886lXeC9Kh6p7JNeg6h/auGwkarDWCOg7QA7X5Jm9c2kP3J1d07OoOgrHdp6n1CBtxmnvde8VJyBC+3gEwMlXmJ0Pap1Qw/1K83bSjiWD9wfJvk+tFFa8qsz5heLG6LsKVzm7U3cAeRymeWxoIutmmIT6KsuGuxH+wpuWCoGXXE5ExpU1eMGUTuvq4A7t/kuqGN+6wKVkZ8N3uMCeC9o1UXdVgeX/vSlx8ewPPsSqKympAxS7W0S7UmbviHbnShVoPQAKodKb1jOnl5VjUuau+Ubrsu5nTLryfYkQd3wxdINXzKaT7jZ3RG/PlhDd39K2iKNZDXaNeKe2VV2tSHe4XEjZwBYGYUa7RcHg2JxJuOr/eIdb+8QzYwzAC7eL4NCZaIbJjoozWtYcAZTpgQLZ057tjSiI0cCZNdUExXtU8TyAbk4hebAjaf0KM+N1wCPS1Xf1UXamgJ7GHUHrDtrg2jpJZTuAQHXQIo0uT0FbrA+BsNabtHYx0duTJ4kxjGdkbErKjbI0n2XkRbOgabZwZWHqB37214h1OoGnWRiHdAY9Bvw0kpekwFDcgFEJAYcBWPILMiJJAhMB1yLYRiWyyW817fut7fXF16vj+8//pq//+3v//S/+OU/+Xe//H/9H//9l49fGKPv3m/i+49fPvVO7C2jctubhzEZnrSVN/eUCsCzeGPDwjlPoqNb4ScvRn8bFytU08VEGgBJF/s85dIUcicprjoxlXrWYK6AEM3mInxhWeskvYURy4+rJE1tUYeihE/CnFcwLBFVfYQDJoyt8FYP1lXIALVBNaKpWaFSVMOL0CSELJR7caO28pFv8mr2HXz1cAorSwH2+yJDQnZmjBYHyogWmkgyP7wfcrF47DkFZRBdij34PBvCAK+DdjHUsLQ4UwB3L+eGaiFTfCrZ268K5XiQ+i5Z3SWdfGWDqGt1QlLndzpTbLypqXm+s5xig2kRcsxsNOuOAlqU39gyB6sAcueigdtwpmumKswVtGNjq+7M90nDCq4BR3FBpKg51EDETKkaFkULbUPHPpDo+8y4POTlGKhQxSG5A0ZiNU3+VGVkoCnNK1nCMTgEZP6spQBhkj+9kqaF3xeIiyuoMI6Fi5NJeZ97YunzXOvef5rwettzgl6CLe69zAonEhDWdqE3Or9o7HyS/WERCoQHXZmMMCZKHIgdEzQFtI6n/hPirCrdGYPgSaDZWNFY40yEWa9RNFpaxBMcwnNVHnv0D5XISSBl1knzUoiVIysKF8Sz3Q0ZVanP7B1BtRL/Xbn5fC5kbFRqGJnJVIEYuwCyaMq80a/ux5df/5Nf/vZ/8Rs/vj5/uAGX6vUx3/7m44e/+Xj/KrI7aDBM8KJo3O/Pb1/79RzfKpaFO+KxIGH5HqskxbnLc5ApaRLb2mzPpwU1mIXM9qahJyQoP82+y55sozMJHokczgAr7SF/DhCHDnYlE8dEi0rIcLCKsHZhJk8XIQlVAZbRvCZ4R8ZxkrAi5Q2+GhpxV6rla8PvhqjtC0FEUDkHe1gwAocAM/WyM/+uUD9L+JIZYHOYqQCKG5e486JpILD3GkBYWjIWn9dIeRTQ/BzOwBKIJgbp7kms1BzgyF0nQQCAz9WZ87jAYK1egaHBofsIj8BrqTMnnSlK0+sgHy6ecXqyeJ38nTywlR0BdthwG+fnhvLIQZzFRCaNa3f36t8aq55fdiCHJWR3WRXxOnPzsw0XM5+sE5AilF3gSBX3XPRdq6tb9ieXoBBS/U78uHkEexEOvvFLP6peCwMoMZ59GeMjjMBOAeg0/sZmBWSZJMSBHvBKMtEmZ/dhW0pSG+Ks4hm9ZA8zo6CS05g+tzuwS1FokA9Iis9659WkC0OS3HClJmpX0DkYJaqELroaL7c/Ctd4FOGozMtR8P4MJBd7M4AwW3yozumfemTuQvNC3VYVjKv0/2fq33o1y5bsMGyMEevbmVV1bn36ziYlUiIlijJBwJIMCxAEQw+C/6bf/OoX/wTbL4Zt2ZRsQ7Isg2Sz2d3nUlV52fubEcMPI9Yu9mkc1MnK3Pld5ooZMW4x+DjyRWN0kOUOLpusrK7KfTLPDaDZDthxgq2UcvsxFqbV+YzHo4sewlX0AEX1GOBVM8gSnsxTtQpwMcdeZOqRs9lNMfXzXVpDoMRjFtGKy0FPXjPnaXheS9dcXSIPrgfmUFcC0kmwp7NPcpD95dOjuIPa5ox5Zd9WB7mMCnbGkLsm7oQYiiIcyOygzYzJ9qD8njCEuJQSGkWdrpqGObpKY4vumd2Egav0PFPEEdizTUYBLYqdvrTRXM5b6X0PUJo+QeFD+gTkDQ0/rgCv00fXh/Pl7euFl098+cDH9fH73z5ffj3/9L/4x7/7f/53f/V/++GFD8ZK0odVPJNXugcfdgtqJGiC7lq1IrJpM2jRaoTKHpdFM33MDSUFvEo2/WV6WLULZGbzbKJLQGG7wpi/gP1Td/D1DWnfjCltrVnoztHRLe8ikG21C+9uKxmEi6NZdPVuQ+ru112BSiOGi0Yn7xdLUyC4fjljnhBRRi6D7dsy2sfXBcdqOiHR9qfdyqTF/VuTcJhN4NumObNHpc805OmgSgmJSsYfA+euIxia/NokCokmyj4Aydt7c+d/LV4cXCLPn7wiwhD9le1C2uiV0A6dQKYV4C/8GGF5UokUe74WfMXC9OnxVpsUL+Ji6QAHfc90W8/vwYGIBTrtxsBL16xEoYclpnuiu/Ni8zdTedt3/wQvLZCxW70L3kx73dAENvka9xS8k+NGBmGplnVCkDfVlJk9U2tGk7xH7k26hyfzyr4iI9vDjiMGmNtG7F1Gkvupqezx2vtjhNrw7H067zYpryGnu6O5jpeUcA+zCXUG+aPRxpG+MZk4SJgJYzrSZWSNJUnUTN8Kpj0DMwOUTSQ4L+baGzCw475EB/fEjBULBKiZzkT7xL1jxamQfT+7neeHGxqwsbHETlLWu9A7WPREOpFBXbv2KUcvYEGUHKn2NwUUJRYzTvImYwT32GWNLrHHB3hAYBuX7Pn2jz7+6T/9w/oHX758xcyZ55zP8+mHt++///rlc/uJh1QvJVzDeSEH9NTz8zw/n25QNY0TWneAIUPvozJoYg3KE4wyjPMA8AlFS/Y6qu4GMDZBe6RqIPkfqTNSCbNQZFZoBWxOVkckK4AvBNMWsMIHEsMuLEB45yquZyvHK80oM9zJUCySGVSiHtxTRACNjoI4Sq54HnPfnlCYGTR2svNknPamqm2Vd1AdoyhvpuPcdw/hia8u02mI3BQkCg5msoDtRN7LITXDiuY69nMmFyZniq0Mo4Mypy6NwRr3MgYrmu0NKs0pxaqBHF/02vCR+yUPg9N85DOaFCpiOiqDicNtDcIeQ76gQ6THMbAkK4w4aaJ1cwOc3F5BshUoQI7xyMlu8YwSxxusPF9Q7pGIEHHRbYxYNq0TajkTwz15m57ubIVfUA4TLiePLm1GtGGAc7zgOqwLMg99FX3RJXys+nDpwY2BI3dFp9OAwLsgO5DjhiAI9lyoLt+rTvIlXDsCHfSlmgF6+dDAwr5zF80eCL38IgamJmZVts2J8uuxQmZW0Y1rP12OLHPsB1t8JO+mIi9C65LS2KNHZaGOn9n/Ij+f1ggXejItjYTkHgzaY1aTVwnFobP3eyhdsIgPexk8lgeQrUeAjos1HzCeB29qQTzu1b+TD7LFuFln3qXJBGCf6E3irCD1RJxRtAcj4cCbmyTaT8GQrHFSYxdjjFL+fb9h0Wd7kIXcvP7LUCTEdKbEGWimZ4wezrjq+fV5Pl7XQ1DrknimbmMhTOOM2QMzGgaTmk7b1H32wWCPBXummXUndjt4e6OC73IBGhGKO1rjzhgsu3eIzhXTddUCyWalwMI71HbMQWtz4zV+Yp1nF6vLbieXdWs7h4NCiEbV5ncxT9ClJGoAZN3wOcix3p5+FL9+Rf3Y33zT85Fvj/ObH7//sz/79p/813/+/b/53fnXA3xgwfWUFSBjQ7FhQV2LiTseoGJ5Iijc8Lmg92bBfdfsQGjeYZ2L2O4jrpieEspR5NPMOYUNJZkBxSXoM/4MqLE2DmpBscVW35HN3QGx5fCms3/qQAFgqKAcWdeaHIcAEzPl3GobggzDVjKf4l9L/xAZSi1Qtzw6Kc4ekqh3XDN9E4Zh5Yo49zYtAPfNvVzq/vFAW/vx0W1i9yzmyoPQs9AQnbLo94BWRXhR3hXfd+Bjry4ci0GlemGFDbmeMnfcP3s1LDAi2QQ4SWhNg8Ys8Z2x2I7VqAVMEWx3/HGdxn5u3oaRNeGsReZ+TfctPyTvtOV79AoQxF2wmS91ac5MSlNIOt/NAfl91Z4jwB8AwyonKDz5EvnpN9T3nlQAb0I4nA5xhipPktdddTdb8a5FXh8skovD7WA26GFVBtb99RX4Slg/h5wUTGtfRYpXUgpvxYsXB4wiLT1ULzfHsBl7HfL9Hv5pANmOxw3WOnwltl3be8joQWUVJlZa0QHml0fZ4QBkbyqIlghnNozt2UrAxv27daPDiHqHGQ+902W+3kyDC2Lgnspzrjf+FllYmCWsXMA+K+wC/issSLB83eCDARxOMi+MScgyGr6UrY7UvYN6W1BK5ETWBmZ6Y6bZs3NElCPi6b5+cf3Z/+wPfvmPvvn84fvn7+nnvH32l989v//+6/PV/RUDPV4GuBgRFFqjrz++/fjj6+vrivgBq9ENGc2bwZuhk1liAJrLmoyhA8OJwkHfCqulPTPvAsEEZzI3JBMLd/DYpssuaTNJN1PiD+YdgWU2u64ICbCjyQhaQwjJKKKIHoeGXSeMIsBa3ytB4O5tdc8JecEo7gOAXYzuGeCRRX4ZeL1au7xV7pA9+z2moa7dhjKi4Dn2FXFGWMo8fas9ZE4RJnH+V0SSISRsksWqxdA3Cy8z9QYyxq1H4kIHAGpALRg5Z1rmUbvngpM17jlZmtlEvWQawRhG0D8rtV45Kw303jLYTRlM7ivTQpx1pk824SCfXqrRzrmLSiwkgXUDcJL/J5lxHpNxogKPKC/rSrZAJitOFDqbxDLMDr1N8TBhj1CD9ib7I/s1FHVRQs+MijACi+HBwticPKazQrGmxYerXC+PFxE+jrK71OwE/J/2RVsMfYORH8P4JBOfpojhdyxmdpgIjkpMpOmC+kb4OHn0AzuuSEfOhgBWgWTiMqnpU2Rc1kqWMQBUqMZUM2lMqVz3RFo7EYIKoP+S4Ku+AOvLs4876uvTfgjOlNi4EoSPOuwPV338UB+1CpGAioPnAxeFqmswhSu7q05wvmlQvITuwUMBtrqfwjV6YnSd0wWgZuzLMGpoTMI2Q/0/F3AJQiovAIs1edQNu62eIr6XWZ5wlmybIzCROzhcZA4EF6hRsb0qrn0cI2ZjRWNoN01R3W3zS5/nVR8uzBnUXEnSN5O5NHFSDkeQ3bNRI8+WBffEKREmWsTJ00QdJ7rE8Hb64KqPx2vVKzO77irQm2Cy6crpwnUx+T9uqoyBzkwy75VIv8t8hlRzFwhfgyO4i3IbV7qnKWQiYE+wfqztomegm9oHV1tigI/ywPr62vz09uVDffnm9bsP9fnz+U39zZ/+J3/+7/2rP/9v/nf/4tsfv7nw/PJ4Xm8foDJbjSu9d7n61k8W0mq3lJjliXl9jEiZJmHo2auSKPbM6LeeKU3SvIteAsqoOFxZBIxRGjzk3smtxTv932lWfEvI3zE/ID09CXlG0sCV9iNVnwYS3pb7ke8wclQ6OTHpIbjrsQrMEt99r55NCknbFj1zwpyct7vr3zwsdhINuOoIQu3hJhRpbxyYm1mV15puOEtHgmittTL67RRdKSpw3BetPflY2lDZPSAK+x2UmqiBHyTC5tHt7b+jV7/Mad0+3NBLK86H4VqYyqsFS12N8W8JwusQm0SZNturZ8mdP1w351Z9E+MJV38/WLM5qCvdXvnXTl5pfKL8nlvwkuYkF1ouvswagJV4WOfvVhBo4oQWslHxXut2Ts20UvDofVdtQ4VtiQMeeY2oYdljZvQc10pn4HQ0MDdTmO6wRFroNt/xwq/ekQ+LgyXlZKmLjedMCk1OLSrgocP8JvgS714H3xQO0OrFzZydDzGEI5fGfc3ml6Zwq85YnGFbsT/awEQpEX1glA8c+Epj78mBXd5ruM8cCjOjPFV7Z3Cx/PvHOfBxLgyPfbG82TWSjEnupujoBu98WWyiTO+cI9wBYbPk0hacRHgTHonBdIplSOqsvZilFFawusWBO33mndZ1diwsA26ixcd8+/e//eU/+5l+rv7abH3+4esPP/Tr988vn9/OF7h5Ff0hOR+ZUtRv+Pzl9fnF1T4xEyStU5xEtWTdpd1Bvnbc7LGUZ4gZjdYRzmErzgRQcve2h8Z0dkHNmBdxiN0FnE5XAW2Gd9ZZVHucTXogc+w2gmyVMgwyga50CFGklW/84l2LdMd3MvV/wm9PdAnARsLeJjkYjjYHojv7FQVEkKKKHcfhhCFarpgY87IHunF5gUqkkS3ZnZ0SuWZAGtO46MvsO0j7GhwNVGVjJhncA7EKiJfHgwuEUhKCsUe2uDGBEiaRPcg95P0Huyp8AOH17y0o48VkwJoA8BmYI7q0rurn6BLe3VZxyEVevQ8OlnngiqPsSVjzgu5L5szgQsL+tDncEauam4qcgd+AJExXFV3DJ7AxD6goljZZVh2QDyhOzy1kxU2DpG1SezSdazZR2dO2OkKBeMTmsgYYicUXXpce4ocXfLjILFy6MZPH3S5cceIxVyCzdTWTJsDa4KmBQ4vEFD/JsaQxzSqyp1m6EYvIMcR7WxEEj68WK01cDCZj1HU5BkFlQEI0IInaqNw/uCKntC/Tah3iYfhSbhDgfHx5PPQ47ocKfH0bsG+rITQzj2roGnS5rPn2pX7+7cvPX14+XryEPudJ91EX5+yYWBIuJi6UU1sLn02gC+5n6bqqWtfLeI2/8/LITgrWZJNPN12RaMRwKvrATOcwO/lLdwKFzRsmcfilQSnk5WolxiQLM8QU1GvtAmfOMorI8XOSvsjuWLQ4hM8czkUk5q52jsbzTGM+lujLz1kWdIacpYx9ujkcn7F4ug317GViZ8CIj3QzqbVusRWvlNhbjWwCAg/OWtru7VYDzFRt+E3VHQhmJ/ZHo0uVqP9DS3oZN06N5kiedrxlDd7Chho+y1lDt3Byk+XpQGqB6gOfh4PIMIBDSngal59v+PTD63ffvLy8iG/zo758+OZv/+F/8We//R8+/Yv/w+8/9st1PciGzao+N3aQkc3oRW52nr+xJhjznrvHdHo2lkFkpxxDPlO0jSygC+iY/2xvVa4uhosMuT9RQ/LeZhg2eKGOm0xyLXYnzhDaBPnE8eKGYoMQpRMHDJaJzfAIYbElvCinGVegjp64rFRCdpIi1CvsuJ96kXpwOrNPpoGgm7WGj4wBaWDppm/MNJgDeV+3uVegleGOcONk+QTQt6IV41zT+7AFS15xlBawmsBzJEleXhAoo4Z0G9yADv2QBSgpS7rpj8XvcsExMRALLIk9rcRHd19rPwhLsmTJAIooalfMzT1kBANzllzf8PFiz4YxDlAVH3l+NhBgyVFKNY11lnplrEFycLeUNNo/wcl1pY2sWY17RK1I2F0AX2GeqW75JsVpbEasM4HSMTLQno4snELfph0snSVjXae4XT05wKFRbl5Igax8A5dpocZw58wwRMB7VuhOYvcCAATZJRBDLxMqYBePAwhwte453Y4AORorTh5pGcjWxOiFkESZHJnB1DZnvntBZG2J3SA82QDzTkfhpwSp5QD97i4HbrBAUfQvAUtOjUYr1rd6Rku1LHswcTzu0tJ7Zl9GJWV7KN1hIgZ9ky4mmQXQvhKnlR3DJNFFpFMEQPTeSWC+lELNGWJQlRXPeIKo6w/qz/7ZL/mn+PT2vX+8Xn94/fT988fv++unPp8aY5p1XS9iwVUZrfzjl69fvn+bJyXLbjRMH0ubrJORW5bI55kETUaGttK+4Kl5LjT3oQuCvXt9jOBcMKLyCymG4Y6horO6JvxSHG9u6qZdyURS30ufeYO2Bkua1M0hWfZJjAPXNs/FAOAYW0iOis7a1dWoBQrgyoaIrAJOVI4v+MT539usVQWoJa+h2/fCHshySW6NpiyZ7WJFW8ydrAEMthmoAPXgsg7Zo6SFUoHDunpQs8vgRYOqGHBEZReyl+m+Ywr8rgfdW6fkXuHAlqNlZlrY/QnsWazT2OJIdGpdhC65z6KzqgmaMfTlW90HGpj3EXlVk6uCCcWTWrbtLdRo5UnK5cgEmkdGgKY18TDm8b5vf9uiPEuiTKSQ0QNE+hy9jTIfrrWFaQWjsvO7eK1Kb9lUOGDl4hiiIvx70HX5UfpwZbEBuOvJWDqB+41QXdk3BA1L6GNvPDsyvQKEki/Bm9QNx5NLrQ0B+22X99rLDUQV2TQFzs1FLcUuBAmru9YDuG7ZTyUYxxdid8akqqe5aa1TSrwe8gPzcvEBfvV89PX6dn7cHaNtP1mPBmvo8un5qALr8XI9Hvp4qYrPx3X1PGsGMyLb52GRIlUxhs6FS6rrG5zB4ZyDdj/HL6UDePRkIkDYzaWHgcPLMg4iKSrPQYuV0Mm0BBRwngE0k+9dZgd1Mz3mYEoKfDFL3W44Xnj/4RLcc2Jdj0VvFoIRNQOrxNM2L9WSLTNHc4Gd7rzxZeZFc5M8A+5OWCQtJNcm7sTrHoAT9hIgfQYadW52bnWlk1vo5d9DUduzvkAMBSW5Ihl2EsBiCRdLtWouzJQ1pDnH9Mn85KmSwMZot7i8ninVPk2JSi3q7B2QOTciUVmnO3gsJl2GgN0dkkT8AmbY3V9f8ePnt8eP9eGb6jf//ocf/+QPf/FP/9f/3t/+1f/1y//vy89ef/768gWDQqwsBXXmu62KnlGm300IPVh3DW5F9eoNEuDlDYZc/R2Xl9w+0KioOZU9opht8Ni0Zm5TQB5ZTwJpEmA3A5hJXF75QIOgirezjHcdlIJL5sNbTcvI9E/KrdqtLtgfuw63yIpwCxy4mgCswXPkE7wqumTdEsUVPkzVe3JOwPTlYXdbGXY8eG8aE0jDUVLGyqtuCLQcVIjaZtCOATdq58xVYzpfEQvoqbx5TLEgcHcm3V0BQ6ujgVqyfcK4QOJKMWsFldg5jO/eeKwVfr2Yuq4IbXjj9hFfItoU+NZORTuHaxWN0K11vrFDrlo+NxuGYhs0LS8RtNKTAWTGZwf+JFgKDzCrUMk4GRXgM4TBcFscI6qWqQA98cBdNx6QvskJPFpeDZEutknW8KazchICvoVZQpVnXzGYpD3k4OX9LSXVA1YKmtnTum0sMRtSwgGi5Y6rq5F14w3WHtL9hFejcg82lQbPOwu311uc7wVjkD1r7ePmo3JWSN2ryDH5b3lWQpcuUU/Batwnad3jSbPSll0iiHkmvhUo4kzub9vGAnS7XyCpYgLu3RfbvUEQfJI4FKuYzJmmFIfLHut3SCL3vdus2M8GonCMm+hRobO6DNn9FN/be9TVDK5qD8nEF88IPTOtX80f/8e//sN/+Isv14/P71+/fO9Pv33++P3Xtx/m9bObfgwfH6QX4xFR7GX7+daffnh9fTNLDfiA0ITIbe7XBnPU79OhTfC4qWLnnEbZtuVg6aM9T1it/bbtns7hCIAWavOdc5s8cyTfj1Cq9drD1yRyf7QjqqP5GNzqPO8yuhCfQfCMRVOIpFVhzVzr9oJ/2hZm32wodY96yZWb5HJBrNHY2doXxZdkoxK9CXIa9KTP7KIH05cuYKZNpQnB8iK3ki6GL+FwMytjQvAVpiEDN2mw9CCdrTce0SNoJnhPqenEj9LsW6KUYEgYKQigmEO8lSRfT4k23rwavwlnQ+9dv7xrcDYZkoq7AkeRpiiOw4W9tcanDSkYEtMqjY1a+kTQmoCES2HHWqr8lUWzJt8N4RfuhAM1XShurAtQFu4osrHQh4E+ZvYKmr0wALLN7NEcUjot8ywrlnD19hQLgEdVL3VV5dJtmFSJaU3ie+GKC1VIwko5S8aGjuDjFAPX3PwGthhqVuWb4W1nuGYhn4ndqgSFBpMKsEqylTAzlofSsMFHUMdNFY1M9QKlEtFWT3tq9hETTfZMadyPAS8+PjzKNupF7MvX9fo4mDHbRlxcbgFPs/R0C/x0+hcvjyoBfVFNfiReix+aEIrwVeII+sDHtx9wUVc9Yqc54Ofn6efzq6bf8Pp8vplqdHPQFNupJFL3q0+J0yb1BtM+SMvJxRUmIjBEl8vAPAOPwBb9pNg+Kk4D8S7jVl8F0vLCmJLjKT4HdQmNFVqAgk86Os/Ezmxzau57fCID0BNHlhoq+xlpDgmczG5NkM/ofmym8kdOSNPV8dwFp7sRjuWL7uUMOfIyx2omEwGCHcJsorS6rgsXQfIlnZEKcF3oQ1EunLEruUqXBM+c0ag/0GfAZqOo6UVvMoQQjk4YO+GDGE+jKnpFg9YoKlYALcn20Rv684/P776RddXnetR8rr/5+T/5g3/0X//ZP//f/k/1lx/nD74+WJNN4tf4cLLUcDH+zAZ+D8TTjcreeLUjjGgzQQpluZLOqagxtLdT7cPLDb2wQy9yZDUX1k3rVAlBamjtFe/DZkRkjjackX9icWqpbkzdmLpRSzvhCWbcV+RFgqhqb9winI+ubnLIt1EAMNCxx6zoBwSpW/VghGHHsIj2BDUODIw5S1KugJQhuPje9Q45SftVFZP9solY3t+IW/zAyiy5xIoTOBxyNoG23K6qmNCl63AQDjRiEkhKnvFkY+YGTy3G1zeZs6anWZtBMjaT9bH6V1IGrrhKg+s51PbdMyf2J3pit7HbEXxbfJa5gDnRjzIyc8LstToCSXIxE0uwxuuYiyu55sGpvPUJDTPbqyYbWx32Heo0dGjoWo+lN0zJdwkITxOxItqOEXtdktGIKUFudye1M27MIMRkTNijroWB6IHREZPk8/LuBPPWQ2+PkBCU8fvkvTBfFjQHn8/vHUBobyQxnMEpwWxBJ8VE/4Ekj0lYnD5Vu88RhmfISysjzhrLPFpL+XGJIE7Wu2dv2yQfd3srr9wvHzuT/AIE2Z1OEQATyZHxcmVQaSDzkDIg4raLNy1mqQgklJZS2vbBjWWCrVkrRGIMZLDCnjEellsEfIP+eaPhJYheEX3y8VmELWnyw8YS1Y+3n83P/oNv/+Q//fX5rr98//z6A3747aevv8cPn5795uepS1cYHkkoRpfupz5/6rfPg2cTj3AxYxhvhcd9jm6abrRo+KZY592Gztw3Sw+vnCvDCTReE+9OW8k13CGiicqJyo3N2s927MjYVz6aWVoRPmJzl5CQncLKgGK5wj415NCXI/UBkQqxAr6ufN95GmLlQBZVAYAFcGpHnmR3l+DEG0LwM+YwRvuahbR10wiEzbK7lqYSkJisHSfwDvTnOV+8wOOq2pze92v+3jKtHABTdNEu1JJJmWKwCkoCLpMhxBZ6xL4KgJGxAWC4HszNi8S7jnyX017qNaalWuXQrNryXuoyNne/Uojx9FEbN+fV2QhAZ+VtVthD0f2kLNOQa5L6myjkBPknHQaWVaLJ4G5z+2iFNRLFRbK/auto6qh4x446tGlo1XdC1ntB3PPqwBcq+P2803RX6YI0/XI9osoZmjjklTJ4O/Vi+0alwNYCT5Homu7piul3kuSzEt+ICdyYEiRixqxKIFKkU0oC0sYFcc0tMa21q1akkNDN0C0IvaPCywxLLy+XCNivb3jCfkI+haniQMBrmW+a84mn/fLxQ5HDgp4wzgz1UXPvRHWoDdj9BNRjT3G+vT7YglSPufy4HtclFEs4DR/3A/imHo9HfZSuumgco8dvj357e/3RX9+EHx715Xkez/Oq8xw+mq/Y/GQXqh/jJ7aM96yoP9Dswr4wTm7d0IlhJmGgmiZnhDoaSjXudIwMkV2DXkn0zcjBKCWOIVEskx4j16dtI2kpHI6sAaJ1GrfjEpsL8NNXaU6gXSN1s7LzFktfyTyhLbKOBrPrPW+UArQl9AYSxmJo53LazSbclikxfhctXAVHgV0GKlvlY5ohHySLcz2fp81pSzMeywUZ6ovPZ7ZzzenRqC6+ThMuYY6gtU13B3qvlQTDjPXyGhwddk0RQ4nn7YBvn+eHT/3Nheuaix9+0Nf69od//z/7u3/9f/nhd7/58nEKlJe1dPZzoJigtsSqwXf51zKqspwc5LtqCgUcMAhESvQUynNuOWsSEVM+7I2HAuBoBpUWgxsPk66Gzme+gVe8syiC3MSNLlXE85hZ2U8mFkLlMCMwrvifEurjDuAf20PU0+/9uXM0T+Z/g7hQ+1oHkUIKRk2Ip4WYFiVWhpMJuItacJa8Kqk0WpcEAqRvootsNJnFA9tTgkGhp/Pk0aF5Xar8ZUx4CKMEQjkidxU1aPO8SyuKGoCKO2u2swsGRYCqUWc0CJ7jlZfv4GdIxbJnuaiSbF+zO0p2CHDoUjth/Ykv3EvIYgfkv1ueWhhpHP0LluhIDjhGzSkS5RukTIpbvrSVx4T8LrpnYfsg/aZjPk07bkJmtkrdFuCbSQrgCdJQOxsk4exh2Qm2FsVOgtndjXl2hwXTkdC2sgMuO0NBoGdz6te1ynTkCR6GPSHYeFN/yx2jkpNiTzvmd2QR7th+lwBGFrLkRsWf6MXYMaEtErWUV9QzrJ5VboEqujG0N8Y4tjx4k4sSfY/JwoK+IZviZb/r2O8IEZgdH2LixLQO3sWK7pcFd/TQKPXO1WGctGmy6SCQyTA8F7NXcjV16HRJofxjMJxRbHcTpGSfRgLc5yJWkVgSMplze+i0EcEZo/oaZSXS1BjzfNHL3/34B//Rz1/+WL8/P3z9ff/+N88vn/vz13l+cTdLA01f4HXxpSS4PKjPn97O14Om9ELjJH/IBD4M3h/iyZFqkNrUe1HTdG34gwBBzQOqzy5BzgedDbvreCY8qc1VmSmYzOAoOrh+grIa69e882lwBz7PICI4x9NYGagaUYNpM+PELsASqdrHdtUyU47+fBjOyfTlOAEyIY19JwNzhxaEFWYZnl19nGEMlNC1RgVt55UnZ4hIAXvZsNgkcigLfZtC0/THIsg81rM6lQGAtjh0oQascvQRI4KuGE621MWGbgAje9gHI115KXhHQSZWLKxApXqoGvcIV7O7ook80d9pK644rnBw4L7/QvqRB2WevpShA7Z7qArg3Qhi5OBL2oTXvc5lZJXocvP5WAI1CI4Yaxpb5Def8WaaHjE5F93oOHh9LrikZrjhXqpQYJKR7kEBabfXM7ujDXwNyCyR3WdPQqE5j0yKsT11+8rpnDSWENymlJIRJ8QG+zGM/7sBTdm/Aef7FS/YEzJW5YEoIbFJaZoSx4gEqc76hgJwxDBFDnHBhhQqIIqqS0XLUyqP61I/ezRujtDPHlkdor7M+fHTqS/PsnmBvL4a5tU9VZePc1kOiAsw0fP19fmrj/Wrj9cffffyEm+ZXmh/9xi5ZqiaY9C4hKqrmOROwMPpDw9cc12kW4XzPK9n/IYquDF9QYdt9PQA7LbKp9tnL+9g02Y74ZXV9O6mC5G69yE7DVRqQZGDM6J7gAAtxPRFdiQaV1YITNY2h6xpIna8+IoihVbkDMgjOza6M/8F86rZ4LLnjFA0Vq+l6WGfmX0u6YM+4AUbPdP5WLAyBS5PN2ti5k0aAoh9ZxIQtkzCbp81LnFjGxXqcxvJnn2O3c9AOrDLKvBJpc/y1MXW5QanVD19+hy+XMS5PB0dYxf7bGxbYkVHnWj92ewt788f4PSU1Hrr+fKp+YIPLx8uveDr+d0Pn3/9q4//3v/y3/0//n//H9e/fuADVaE7Qn1pw1zGYSssAs3JTqpc58FJTNY9CzcjRfKqcaLFurXkvCHiGPK09k1tWGiGKdwjYv7MnecQcxhDMG38yq0FIK25fWdZl5UeqjBppDiroEfLG48ZyKVWAI570OOMBy7JsOqKeNoDImGtdi1HHrCT26hv4gmL44n+DR2ilFyaamzoJtJz0rFRvK5VKJ31CYf7TS1usEKiyAfCsUGdeB7ASTbxFa1hgyASzWPA6NwHiEAkDMVgRVLJRAhIMuBaz2dV+ILeRQfzCJQfCkib4I/R5YX4s2czdEXa21zvgXU7nW4aslBcFDotSEzSCddtWebqiCLo2Qct40oge0Zm6h1ismA+89oACzrtZ7zoch4SRjrl8AIhpjdh8Scx8EaSsbygfu8wx3GvWMHGstSLao0oEQ2fYWkFWxH2rPOA9x2VR/WWnK4IK/ppNrmaiUCILjKDRXRNi1vvA3BbWrDMlOeWBSIc6XZYKx9hZ6YbrSWYAE74OdDJn/QmK6VcTtrrfLOMTLiE6Znl4pSlQVmPQLgx3ph5guQzQgHrwWivEq5F9wRBIe43AaeLw9pgUmFmrICfHC/ItDS/mX4yQqmKws2bzUXlU45VlavvX48KmKayb1EMGIdpyKAExQrGiI+2rl/Xr//9X/3yH/3sa71++ptPX/6aX37z/PTazy/TT2ioywUe+OVxXR8qkovnc55fztdPr/02WZERDqR2BIfFOYMBsoMOB+c9zjbpZVK8D+DxE6IsKdotI5I3EbFfjiS3w9iGRU4nDNfA9+ITgj0oYZraIX9uajLw197iTFecgK9oxoLZ3oZ3gPYs47M3OAqFWIUqbUwukEv3Q7ckPlZnQFNJHTKrQ2DmeG+hsUYjmvRUxgzZIyzCwuCJ8mI0SXO76/NG8dMorvoYxJhX73IRJF8XZgDyeWjqqupxBRJ3l1+GjbJmdF9GU1F4k+YmbnbV1b2xEV4uauxsDLNQHZ1lB+2KpyWa4w6fBsJy4adgsrFr2QDqym1Ah9hKL8IuKF1QIltsrTgh+qwi85oC3D1CZ5pVSFrl0HVFjlsAqNoo3pkOUpty5Zs8LYSCzeh+I7ZLuHsq9cwaEJVvdECk0d5gv83aMOREN2tgN0rODqRKfVluMhpQhpIN2BCi/Jae5vXFm6sLaDf7Qk3dSdlaX1mGtIqDWa2F8URxM/gtURmxRQtlNuONMEoLZUq7zATK5i1ALJceaag5A+ByG6X8Ao0Wz3MEnzeUnu2eI5P9PEZDFVUYDyy4Sj7fPR7f6cMvXj58EGas4tWAdQV+Yl2cGqJc7ovQGxoaPb69ytMf68Lj/OzDxx9fP03jaX7xeY3MpFnxd9DzPAMpZtPkYSZshNXTWZzMIBTlfoZpdkET5SwzEwQRPIc0fZTkgDwgAkbkBHiMhurCYENnK2LQxSdZnK477zEeg9ysXP1IInuzTSPIsyfhWkRSpjrZCVoJ64bUgGznS3PmxoFnR9QbjVxBXjrSKnTX5pjorEymhXRHAYwiVsSQgeo2GKflLNIOI6ixVYW3MeCqcX6saGaB3UI8DbZRrZGrIePNQtvJUpsFtIn38KL7Qt1ES/Qb3762vuLj9fxoTnleHl/9+hf/7Nd/9JuX7/83L8/nJ3y8SPOMcM2dWSae5qCKPUDlm02j7mjm6RW0xxTwLg9ZjpTJAoIZ0h3vJuAN5gnCtAJGDxW8ZRmm1GpwhlecTZh4HkWEZpGEzhLAdCg5P0bkwht2snCa97Vnn5G2Havy4oyhDrTPdYoasy1sMXMYZqFcGHdUQLlQNl8LpGYNBCta9BZoeQbl8QqQCInHpxBqtWqnqmJUGNmLHF0VQobo8kAX8u57lkjxcMiL7oVfAIBmClYOQlBxj3XBdmKdJpEquSUY+bh3L0w4Zm7jt8kzqoHj8DcJF67IupbqZQLCTcQTaGAt9mlBG13GHBNWLKa9WS1Z+Dvbp+umKNasm0WBTOGHkFgJeJVVDj+SGy7yHHCiUmqHvMaRNYjd0RFVF3kADC5w5o4ySIeAOWCkFP9Wl62hE5SICOT2gobSbUWwl3llm+4oIuJNM8DsUgScUJNA2HeHMvbQuHVz0jsYvnkgN6h2N7jmWJXo5kAgCQ/zkvE8m4u02BWQCO3oMsYNKBLWfZLzUzNOYeneUAVjc27kx3k9TjOXFA3nlcGagwSjJWBxbPQ8SVjXOykQr0IMrPv8gJy4cYsNi2AHd4ZHTGTAeod4J9cCW883OOuebJg1joFHg81EEpDHNuhpOJvICbED4IainJE0ovXNL/TyF9ef/pOf6cPzt3/7/de/8Q/fP98+T79Ov+1CBE1RuOyXD8VCPegz/fk8P5+3V7bqGswRa0yPi6FX41ezbbRtFpMJo22XitMzCuAbDW3WQWXd0k07YdO2ZojkkyBR8oWtEQvb8rbDyxOEDolMqYvL6e6wigpts6RNyAlNZmdmVLzhQSK6kS39GBNSIP8adjautHZQB5cMk3xV9i9DWpDeisQzCy+S4HIg2LSUKWtBG2Pbyfgc4kY24Ci9Hew9MaF5HochMSmAz5miGT4tEw1E1IN16cPl6yoUgmU4osV9DGKDqLyOyjXVILBiupCO26BsAmd4E8OemgDS9DXMV9/lWgglZGTkSOv1uqNKOh4Vra3CK/niycFYMb3CBgcsFLDp3VgcbpXrEdfScLPkIeodIeMt2QsuWnT7wJbuPLRK0q6xwCEIn3xEYWhz5qr3KkdkZxSRZbmhv26PWkF0yzVKdhFcLVwrZNOMwcjyiBI6gCPXkxnnZBEU1iZ3Jx/sTTS0J88PtoKzpKgyc1M7W7PAIqyKwwNwtl2ac3HLVT5KVWwpq5jrMWveDJ8ZchrPM6DQQA1mzpJJY2QrCt+MUj8HfdDueCs9u3bcKa0S2B+KHz8+vvnm8eFRHFDPaksxyzdY7LlkwKdV1ad3vzY5x6h6XG5f/O5S6Rvo8fz97z+d168JGqtCNredcOszoAt+A9WLknosz0lrreoeioWGdXDi2fb0bn+LTQiccetKMlSJxsxUHCYzii41UnA3RE10e+E0M4KkY0ysmN7cFzn5qAqYWt9TQrwU2U5A2wSIofPVcrua5vreO2wh4u31Ap7yJr/4fS/rwHApRGvuHxPXtlk5AckKjkCSTVTScrFIa/DMvLqw05g+d5eZRcRC+cpCNV7lTkQtg8CA4wOf93s9ToK7/WtIqd1RZUarJBONwfPU9aW/Xuel4JfH9cqvw2//6Ms/+a/+9F/+n7797/77/+YFH1780PXoadvKZ0ZJmhkW0DBGTVSvbS5gToHbY2PWDKZVjmTQ8p0atSUFuT1Mz6hqGhFWAOt+vKM6b4SXUY8m8itiCwcISCp2rZdjKMLJj1g1lzLFEYqKJoj/MKJzIOKY9TdEbKS1qyzOixI0YFYEZNh1F9Vewrfince6mlM83hWLjHszssuaG0nNVNAsPtTAgzVgoP4gxBQaluZOxwdA7DWbLie2iLSQLDB8XMpliBh30ObI6LhO/0lafoQulrMNO6oLO6VtW0xnsgNjds63aZ9VvRLe2rh3J7bo8mbV19eKOAOFuoEk8Nq72NEGbasPIOQhFr9GsCY3qzIXlVeInBKOCb7llE70HZgIXre81miLHDqxdBbP3LqfCc6RUXTPSxRvtczOpjUtk3O7iLZBdoaS6JzWsBIthkKaTJe04fW8Vx/zva+POSViutmdp8FeFqQy9tF6X4Ik8SADQjp20NmZvmGYjOECQQShyUqJheoslb2kyvbQu2GS9sr+eHf9eVCgwPIzgySwYEz07tPCbBKioeA0wCB7oZivPEcrTEG+JA5ucVO6mAydJCFnL2udJIUX4tBc8XSOh/1+wlIW2t7ouyhJfHfWBQ+4TwbW6hmDmnl7ab2Zbjv+K89K6cP1TX37py+/+KcfH3/YP76+vf2GP/7tvH7/9vpqf8bh80r3Snfx44fHN9/UdRme5+f5+vvn+QJ43DhwKd7iXExEXL+xsolZsAS47/wyrtJmgWDdREnyWwbvIfG57eLDSgrNeo5svUuwg2AIoeatyo88q8sP9bc4BG6tBpjssdqgMNwRfu+5AslXCrd7n5UGgpkokYn5naIgUK7R3Ias+L8Z5IcX0SFPNuIVMxcia7tFZKp9wu3HLpZmIvS8O7D24VmhDiHeC0yKertjSzza1WgOiCaKrOLLxZeXelwgNZNgZuFgbvPiZFOMyEkqbqJlJfA4iQ0hGyNYSc7PmiVtsYZTlVSRHH2hYgKIxGCsNXpz7GtlLuC6azfEduqW/mmjdTqmBWiizA1yZwD5YEJLMg4Bsoqetq6I5QvEXqMJbMH6gHZWGADZxpbLiqmdYs00NqEp4E/neppVIRFoWI3l7RwIWyA4zetRaQPDRT+L1wYdoD0XaoZ1LbxSwhCXUrTz47VhgEAUl0rvZSgpLQW1WZqgINbc5SC9zPYLW2/9ngTCna+C5AmA6h3Uc/pbAhMxcntgzptHbR635zo8FzANAT6QD0XtsNyYsq/k8YXf6ciMvPdb3KCX5+Xl48frookzJC5e4Z4GXRZrzpCInm+OJZCVizJn5RickRofUXp4fvnd8PS8fnmb5/gRuusaPKP6mRmpyuzp2CGEZ04AAYxoT0+w8ooKYqQ40AMFTHqfXvdgZlgVkugULJ1S8n9ri0fATkFZM5Lc/I782XKhfHZtVYIBMLaKBHrsyJ0ZkHmsiHQ3e0BZUR6cHD3ycgRRPqBSb9857cyODVRECGEwwljZ8GVGroUr/JhbdYVGHSjY/O0DEIQ0dMb09OR/BJQoYjpZPuQSaYAedFmnmuecEl3O6sEduzEKMqf9+4H8pHA2AKbmMp/9fOXbw18fR6/1qdrffvr9j6+//vNfffNf/fr/8/1/O38N6YM5T74hBI9szKRnmxkI0dlkTLqtPrfghtjVaQLvniIq523rDXLKYzwWjjYVcfSY03ceBbL7SWFKt4Dnio4JjSxjk85vRYSkXpMYyDvmOafYKq+d30x3MwukTQJHKE+6wvTZafbe0xXMd3aZE1jdGFDXZYMcVF67wOaqJXZtFGHHU11BxQKt3f5l1kL4IOkXVvuOM1cSYMMuS/EXrLCRqaD3lJHu4cZCd1gDsARF/hz1ruxavhJMljhkvQ9L20pN+H+sU1PB2ZZ7W9LXsgYXvbd/pMzDezrkyvFr3HOrrpM0DsSEEcpdNjALC98w9MC6Lx4bLDeSV5FFPXcfPeEdbJCxiEaWgHR1tDHsVXqDpttWoM+s9EqXG2B90u9gMedQgHhv/3fAH+bqn5D8y5fMbeCk0D1ZN3dn5ROT9W9JsJh0wCHjl/VHIk4574NINDjU7gJNzxifSmHdbTA96Fjk79E1fzoXaOCDmNdusGq6ec81mZtW/7+WPAP+6RK4W+wl2AnvGocmCXRb0vuclFVBw6SmdiS+y8x6ALa9jessr6+FVGCqNgV0TMycgJ8Rp8zeEAqggp0B8/Vnl9PuT+ICDbdecfiTyElF2DPAlfCwDIlZzRDxjURMGy3V9Z2++5PvvvsPr1/9/Y9v1+vb7+fzb+vr75/Pt5k34Fm8kGYTQl3+7ucfPrw8zD5v/fw854u/fn4m2QVNGyUtR+bVySXPfJHOqJmbSBeIZDNhDG+2CWS4+37XN7O3w8KsM7yh2NwWCvDdzwB3ZG5AmuhkEDVJvR917jBvLGPLnbrizhcEDiUCBR7e0a3xcvzE2DeiagzvAKOh2MaANPKsEbXhT3tbZIu2b0lOnAmBwwB2YOR7DK97r+uehGjfCDoXNVxGFJvOdFsrC0g8WrH2MQwDIFddl3AlIsFsLEeQ7NzC0XXXp0rRik6FtkRDw9G5WQXsQgQXdNaLGJLkfmKCRA60q9k2ehpEhNCwR1PvayoBZL2Qk/t4k1eCNiNqfgrBZaibfJdL62aJV8JGqiJ+2G0Y3Ey9uiflvM/TEeUh5CmX8wU8bHRIp8T7Fsa8gPMO4t0k0oBy78aEGMUioeEVOUHkccUoB5J3lumdK96I2lN0341HUBptwbETFJiscENl2zSjJ0stLiaHaW8iKokttmGxoOhOORFRhZ7cdVRM2xXY10LWeNDzbGNTbLtnzLczWc9xRIFUc5WMmOfmXWOm2XOcrU5jN5MObLf0iEQXlkuw59gH/pYq25jhtTvWqYQtsHSj2kRmFRs1Qbtd6DmX/U3xj/Xt4+d18ff/+suXT29juCQ+GfNPGUSf3Ha5qMaS+zkanUgsljmuENEwZxKtFleRYW1ln58I5ROygFl9lTCInGw2seqrNphV22tnv8Xh3LORBwWgO2DyAGQVIpcT4YQb6L4aZREHLm7oQw3eo2ewhBpAzsa43LEpCeEuapDAJDQwDoqBawZSTfsqETjtEpLPYlbYZk4+vIovMQWJHYi1qMPeXBPKpMtXvJ+eMrpwuXjxnBl5ijWdazpCJk52P8yl6639gBdAQ7R4bKCffHvtTx+gZ/HNj4/ffvnhXNfrt//J6z/813/x3//v/8pvD318pcyGNumoyKw9Exnzc7Y4rfkuh9nAu94q9whh7Fa/lLFAB5NCdFJIvEJMJScxfaoX0XSEfNFR2AtjC4Y2eh83Jo6OWnanjjgEPaELOgF4ueZn82O8E6pr8YOFf0yjb60w9hZMM7GcYprEAs3yfYfLV87m4k87ed2Y8vCOKojWKRoxYyIUqnVZYp1rgcDfwfi43lfXjMBrTvasfAWoG0RWEsavccfl+BagxmZp4IqQKTKsANIC1lrPd6YPkVol4WIni7wG3khwwrXsSCqAd2VemgsDq7qeWNPgRVZzILzl3O+iwDi6oiiJBAWGe9N2siojcL4mdO7++4ziZJQOvLFBeiOf0ezU7WXUqmRnT8Ci9cEQg8B4eaYlXAhnqcAgXVD8dZE93afb/slIAC+VaeQ63CEu6YCBOwbJnKEnYSPxEUm4qErwXYoHQYzVZIhSkiCnypdYhFhSkMe9XPK1RjAStCJfjNYgsraPWmpmBxgir3Z9M4SBweYd0dlKZ9xQuUE21imcBL0cthyMoO15LFd2AiDLEw0vBgJzPdAA5DLIY4evGHXT9niyFbd9pwYZcO+WyhGMHvZs3x/j5U0dwWtvyWdhY1voqkp3C0NFwVUuoSiRT48xxUsfrutXVX+Bb/7eY174+VN/+s358bc/vH45/aX9ek43TfPBEuQPH/Tx4wWZrbfP5/Xr8+vXoFhrmMsHFhWbgN5SsOOzVgYNlcnNJwtqLGWDCUXwSpxexGk/jXgYwBqPs7pg1683AJbEXYKCQOO0F/MkaGoyANPNxFum9gpz8yamR7zC9kYmBQQ8Szh/fkgowMQZUPHtZTxhgbfdPtAeeN3+y/yrzKPI+GCEUaq7HAJwL49GI+JrNEFtsgu5n1o6eRHJ4pjDNqe2IiKh4PmM7UaivCkWVBUx+kwuEylLgq+6NFVz6TKpimso4/+s2yS/0khcXS4R965LGw5IaVJBRCPrxsq0dZUJeQK10fc1tI3PJUHxdYcivbAhWxBqF/Wo8hgocj9zlFgzz7vAzbsPJck9qWDKo+j7UvAAJaKMFLEi7+M5symgK3FUsXJF5BNIvFO0GXfBDyNSYFJ/4/1FKjloTu8FHkwRkVHBM9Pgopu3f2+NQyyWrOJKwVy3M4S6b7gEC2rLK02Z65sCmFCtQqJ+CiVWCbCuXL4K/MUkNq9o0KUdJvZrHM7pjtR9PAfHfnuePm7r6e7j58zb+LSfx6fd1hxN1wE8jyx4ZdNT/YSA7kaCHcGHULi658tr//B8exuQj/jZB7qyvxgmxruawTx2nT7DfhIrBeiRB7Da6uaF+aOPH/+dP/jVP/j5L3/1cl2EaIlVlGcSA9PlG/WF2JF5LgeY9TUWRzXRgM4N3gUnvzKDcFu7lPM8tQQt1aCAStJtBgphHzk0mJhCrXAch8Q1SSlPP4BOl7saBA/CfgbxSv5LtCgoHrHiiKu7E6GZhDnFWUwYhfXlWFlaORrA8WgpojmI6zk4mTFVugEIjGaVaAkMMn2tZJfvQhUD2N3pM1dgtvWPTC3YQZJVesh14XphPVgXLrXeJ/kVNAYbuUyU5pmyJI+nI4eyu/vt+Txf+frJzzc/X9968Pl7fv/rv/73//O/90f/wR+f+d7z9ogKXtdDNRq5Eh13P5ylBLvhtsyEqI7pfhv12fZ9AFXeauqtVi1rQGPeveJtJTCIe+fJAtTD3a7qmM+IBPBE35+mTmnecmN01g20vLXDbbgxg8YMp2FEIEb2YOQOxINdCJ/l8zaBvjUEkcRtz6gbRAmAJqAZRQqCKEITBILbrmB7DYJaEDV1OO+6BN0fhMJd1clCKHsJi1aAN81CCN6YS/RoLArqPPsM3kDkUb0x5lyeO1BFzAIIWcHmAvfSNsmI9GYxPTIinZ8In4K51f0GL7ebTNfiMKawY/fZj8X3LAiFhI7YKGNMbn6Pa+HrnQVnDLPEiVV2KaH8R4uI55c7jfnNDzwziykTaSCOGGQDJ82seogeJUHpbkrTHZu5IjM9xKGUzZ77EvIF7d1uMir8G/LKNy+Ifs8OXON7lsJRMUkTRTFmMpLQJVWiKy1LQgkKlFBac3CoK9l3Xwfilu8O89dsK7QqQpUloLByCtBMj7PvPC2EEA0fJo12gkNG45lVS8hngImBYXmqHofxDw48yQbj6ltMO3Ga+Ze5O8KB0OP2hAQ6aDhPtKJTNzyeMyvP6fGMBuhxc8tJev4NoJjQ0wiNP47OjAjanjln7vQX7qCzu8kS8y778vWhvvvlh5/9+Tcf/0Hpj66v5/n8nX78269ffjjniTN4GpHLkISqVN989/H6cIE6b377kc9Pfr4OuhtReayGJy/l5EBP1BmzjGEeEpEYFHU15Y1F5Z7EDFAYChyZx/e8k36l3oHwJOvs3YJdGUQg1sodj/JzqZ0DecvCgn57f1YYIRkdDeWeY9x24xss25gl32RhhESVv2biIas0BEX2FcZYpjxiibryISx9FjQlwD+Vpoy+wMDW8UDv0xzB2Sh/GMfYwLzBtuIoMR6/tfnd36AJ3bkCdGWWwGXDzETkB3Rd1wWJfql0SlRNrQcM5nTa1gWzDVNjoDWy6CkAY3hn57Q1lUXMoK0LF6FQIoBwSSyggpktcO+7QrFINquJfmClA9w8g7SIWZO75t0NyykEGKWGmaEJKBomz8y97CWY7D09w7lNYbbHjKA+g/TkYwypikb3DM8O30RWdZq7hD2391ilJkGxIjjKWJuJP0/rI1TSzHBmTaoJHbXs9+8Qi6fsVjUvpLIfVVawTCLWRLgqmDK54FFikjMcoFTE/nkVFWEuKPAKyGZMlFHFNg7dLjSG82w+Z84Tpz3j0z0rYfUMn2ee7Wef55kDnME0T5Lv0WO/jsd+a5s8Z3rsyuCM1+f8/svX3/749ttPX7/MUV3i9YHOxzcgei64zwkky1Yhiwt8aRue7T2iCKBQ/Yu6/vyX3/zdX/zyF9fj5eJVEsT9ANK8Yqllu6iKJcUpzJlYx7MhjUgpED0EeMTnxLaLWCzJyYb2TIXBHzCxct8NXf5RiOhUNithuxcASJoq7OpuDtpDtolue5TjE6bHuHsGgbxMHxrE2aAH+W5XitIFOtfVNkwgPdyngHCwK4846TpJlzxKKUoHzOYGIcFdWu3xe/hIpAQkOEohNjXdKyoLuWazIFGpj6Kkouvy9QAvQKqaWpTYdlwwPjZGJcMVQXsQ0hnooN/wfOLTD+fL53m+zYzP9KfvP7/8qf/Bf/nH19/DFwz6epj0s38i/MrpmrkoAumtupFOYfkzkY58YW5xymwNDIqxYt5N9b0vH/QEBdyrkaEWkSWVOStxK959GTy2Jvb6QM/r40g3wKaHaifj9TZdDrsdp/I2aaG585VEWg8GkjxrYEG6pwEbAckwgyHSDGmhjaQhOnEYN3q2WyoyQxDpJq8IzWQJggoCzh46ry52PNl2DeUNgtk54F7a2OHkhEaJSnyS3j8bvtMmTJnbILTbS7BPCGDWbDufpjGKRiyuy9XwkzjBezT0TMd6ECTTN30+gYZDoYTXzqg+Tq9DIDY1IknN2I8KmF0QQUUC5g18GZhsRwmZ7ny70LTYbU9noIz9u7FRiAQnIlW8GwbtxAGkqKXL2rbLt84z00HP+0ia//JWkhN41HeRy5sfmpq1+zn8R/CmfRMOxHvPH7yyrS618U5+IlkrypnQyyCuhfdl1oNFPFTrYqILGSDIiwxOc23hvggKDzg9j3RHoSzmBpDaBRQ7Vuz0lECENvYj8l1GGWTO2/SJnVRc2xuJ6uaMde805U2NkWsQmsbLCQABAABJREFUNQwX1hoQcA5rr0cmfmTgtidqoQ4wHdw/exyzMEfo9nmGTsh3pewL8ri961bbtHWbTRiUwCGRfPMZ4RKyTS9A8IcP33737Xc///k3v3757k8+9HV8rq+///rDX316furznOez0SOYOtkv8vLx8e3PXqgDvJ3XM1/POZ5zFt9O2bjjoKZ9bbY/4QYyxFmsZPBwAQ8RcW/EMX0Iu7PoehziHYRnF/PsfDD3Ix6LhYyzK08y+y5eAWCkQCpCRUgRKstwb3Hn3WMv/w5SkFm5lgJWa22m2hElO1J098b7GA5w5QQ5kGvC/8wrAHNAtSi4S6r8rRAsotxj8yAbnTxZSBVpKqIpmQzNu4QiPBwMqHawgJVxMEmZvfMvOZM22Q89CtY11kTomo3RxM1gEA9wF1E4EJcJsovguHmLoE20jfQLDajXWUdcC4AM9bTICauxgQ/Ommrach5wZbpa6mWFuAvBjW8a7YZK4dmYDS5xSqpjIor+wPcml91mQyITtHR3DZsYZngg0SG1F6R6B2y4FgfkVwYznDIytSwfNN4iqzwCKqx1iaQIkQWSSijB2CEHNokWe1cc4Ow/MjvYM8iNNRGkceERgvm3NDBTmBG4UVMJO41a9F57QQJZOIdR5xASge7OngLCKlNglURuY9y22T2eGc+8HZzuCalkebrZA+O0Bz44w6eNbnimu4/PwXn6eYZoEEZ3G8hRh3BgP40fP/fvfv/jb37/+bc//vj69jXNONh8skJWURcvG0DRoE8YIyB6O9FUoYBmPz08EObn1B/97OWPf/HtRz2QtNushRoP29Cg5YySck+3RQpEekhg4JNcsI5kogE07VZaCkaMow79s2d0RWy1KsTo2QUaqh0DZE81zs6vsjlCxbZZudEBnFxKdc+DnvY8fcYHE/Eyu/s02u6zFRKDGmfcTgMDVjoaA1DOH5L/i73RQkDSK8lgB9eY2WgsZ+pFzeiRMbzJjgOHURVuaZ/BJFJgapMao3TULSuoXJUiDEkv0kc9HnXh8kijjAdVs5Inmh5oqDw8J+RbTbPH5/Tr6+t59tfPX16/fP365fV1Pp8fHj/ixz/+Zz//i//5n9RD9fax5pqXDPiw3JwQlXzHNYIPDYRRYHv1EtY7wuyTQ1pZEUYm+yLdUKD/gLhzF63sOcas3Djs4X15bAL1/mL+ddr7n+aEnYQGY3fb5nQ85faxQK7r9DZQ5He7Z2Z6hPGMZ5zwzw69BTc9yTackMVjT1QUk9DDXjh/7jSdbLmhMXNCTjQ89olLddbj0RNMbA8fGGiBO1QP1oDPRobuhFzcal8MNksRSCFaMC4YTY7xQnNp+9v7gGibnwCwAKzBzNnrMh90xpHkQNw4e2CsDkdC4dqxQnRDYLsTpBEJKSfyS91sddSp61qRAE7U8fL+rQBmTeGQuD5RA6pBBokxpIluDslLgLhNAZusUMbG0j21Y40DcKc/4goE79Z+JQ0rWohOqHQD2ASSS8PZ1PVMZnt2nToDVLCuZJbYMJJew+R8hjG7hSB4b8q4+8sYGfYYiScUAdaMd28wvbKxfMRwkKuM6jEcSJxhBfsznKqaNiXq1gD+ShuWwzFVmk3NAgzVmkLgd+8HB6E6Q4ZipkQ5UiU3Ym2r5Lw7g7YLjw3vPuAVE3rGISajD+b2BYtAk3Yi06RFHvNKIjaawMLDszhDDIeE17VoQkXN8QbTTIZ97Lem8G1Z2MACkQUxKhslv12l+kbPX7f/ztdf/eNfXn/E+fL597/BX//Npx9+fOJ5p7RrGqXrg0BVf/vdS318YN78xW9fzjzn7cvbZkbwihp/QJFqIgG9z009S7MciPfiimDwTpxZtTMYktONLRtcOfdGW8JJWclSq8UOZpBtifFTN8CKhpYRfUVA2jcB0AaIWiHR7l2pwUSKTDcvRxaDiSXjtvpJhlGmpZ5IXGl0Dx+bLzoAH7hQkxsmWvw6ybvHrFmVt+YDys1fsF2buQkgdgWDdkfTGOXooOlaNNorYiSDIAIgWpnoEw677nLPRVIq4ExfbSCrdl/a0mXUCadSLVzozg57ewxxDiiPmrjGR6xVqTqv1gMWfZhPdwWrQg+F1fdNZ4Afoyqz3UMagFfCLoLZ2uPrklvFY5UC06jm/ZMhkCS6HPy13IcRirkvXRdWO3JTxFSFl3eRM6wEvdjFyf4UVyRYAAR03IdOGbJ7Z0rYLRNn9TOd1dAgUIPDJmgWnMxADt3EVYTehjpBPmaUHPuqvgVf0TWNaPuShrGGFWY4y1uupY2tu4oBP8FgisKN8O3DfakGN8MdKTFppWNVIME4BLp4+wkQxssnaq+mzQN6cNwzjqNucbVWClQnjE6TlcRfVYxzfNJRockT8clIYmijmWleBDjz4+m//Hp8vfY3Dz7459TH6/rqy1nquIupwwf45UW+N4EUeAKYB1YFqx0Ah+Cz+TB+/vLy82++/vDWfB4Inuuq83zCdQo607cl5/K4F/CsoTfoYUj2daG7BtOCPZK7K1uCBQ3UotxSuQeUx6oO2y7INx9qFDnCGRQ2KhaAn51xckJDbNpGPJbBufNKcP8jBE4fOOGbTBJPLstNJ9C7A2sjb+I/zAyfEpdKmjZJHCSzZEh0UTNWGwNfVBU5pZIvpob4bOsZ/6nbkTmBKnjU1XiOEPTRKzmL8CjR4ABZdLbmfQSAR/L9aL+hMdA7mz4oOTadWK3i/FSfkgS80TPPT/V9zdi/nJePP9enr5/wy9d/5z//w7/953/7+X/8Cr+4Dx7lbnSrrkxULk3loKdfpbArvPaaxbKFWMfRsKvD6xFm1nPFuk6zszGJ2IwYkj03NI9/SypDBsvZUMd1mSlyAyVbfjH4eLEqWLGvO2AUFseucj3dkaTsc77XiODZZFAuO4h3aYtUTrhJ0q5BcDraxDtbVjjLfZ88dx3eyRsvz4HJ6UgoBDRhotqDJKA6VHkSzBdbXuc8yhspkWgqEQhnpMCKXgenm1j46cKN+Mdjs2vNDcfIkpWfUcB7OmtnvWwv0lwwNBmN9auYdN3gvmn7CpqU9owhS4L8Ru1+3ZkYdYfhe5cR444nFcvvvsR7QskLGEDFGZJeNjAq7iSkhaz7iaMmmaC6jKuz4F6ySYNcYrz5KMCuq8+OkbWiIOpSC8CVnGAMav8iAkwP7FQsZ7MRSTo5OsHIMjLlGdnc412nCgMo5Ba6SZBBNmDlMyXT/VMCYvYurrp6fooaegdsuUJ+7RtCXeVIx5d3yYdKppOaaBKdnKP8wFqmIx/rNt7gxr5nOO33QNnYVsWMKqqoNeLx2+9/xBUB2QmbryDwlfW2JjiVoIRatVBGMCXDMUJkc/fw2JpO7m8iwZCP11nnjoMkoSBmniVyY7+iqj2F3EO9yqxDgz18KBb6jB540eP6+PLtS/1sfvH3Pn7402/P+b7f+PWHLz/+7ffzyh6YzXokcUbFsuqBl599DNn3fM587S9fJtvOEOQ1DX3nTIIgg5YBGbLkSb9s8A7Bjm2tHnRjZJ62m6a9OXNe7J8ct8J6C5gI+LhmOXNto2TgsfzG1FknM+EdU0lcVM4WjXydgsJoAZBWEgGosjpCBOZCpQqPNr4uhwRCtuIIpfThWcS1GhguaYMguO/0BQkLtWaicWXUy1MCbeogRpBWwp5u5z0dDwILlhmr+U8xngEUl6zIlDPEQ6Z48V2kBCW4ZIJfnFGB4pDUsFdLGsJsNuODukc9gDGPZmNx+o9gNYJRbt+2W0Msh7AVMCrkquE4r3sY9tTeOInjWpERAbJBoeBgfnmuuBVPwEJwuYqZBKl8xlifYrRffNeL0kmJNY2Et2J7q/WAgHCkOxR70kntLXEvlx4Ys9s3bWxoEZIXltxv6AKupLnMdSnxCmFPAV3TJzn7Z/ridkKJ5EfXqFJhkxM+VmmMi1oJKxmHYG2Cxgr7J7py7+nqKH+cUj9U3eK1XHQiprJvk/dVMODYbyF1R/aZnh6es891RyxBi5qepfLonChHOh3pCBe6jK4tq0WnCXo600t0Zni+vn1fePzOH/Xdd9fj46XLnmBlzjUJgkVxeJUz7lpmdwzqgbGgue0f8cTgw8v1y++++82X+e3XH42Wu2356skWX54pe8Z9RsQuhU+yZZmHQ3OOoKchNmSODyMkiB9+IHRKCSqwThlPoCghi969XFRdHNdGxeabauqyZyO2U7PgIS7MuvTcAY3ubFj7RNM9cLJYc42iYaoUeNFDXkTki9MxbeXTcqebQLmS5mp4i/kkPWQwYALUCTf6Sifl5GWRXiFGaaPHDXKxRaI6+0jUJHtGqE5rStAuynPIxwmYj/l48dn15OCgL/gsFBkifdWCgLmNzjXuVoFou+bNA1pf6o2vX/R4XMKLX7/O3/mzX/yT//I//D//7r99fvn6qMKZgR7EnKY4KjTlvbRiz91kXQo8XLmDeU9ozEbzHZfTiw5RHbfVRjYb0EmWZYa8Xep5d6CZzRxwbN5nixAFq96bm2f2mNziRkdouOKAVpwqycpONn58wYmx66gUY1dY+FcDjfo66NyVHDQ6S03sjOUNUjOH9/NEz+Tc8w6NCeybUb9tnCNxzOs+S4rJkrM4FqJaEgCK6J7AWlZ0STNpwXjSEHs3KDeg3L+ZZSNvpZ49VNrBINcr7+k0fIicaziah6vnVv6CAXIzl2baWV/lrGi1vNLSffcAcidqPCu1w1JjTpyqnU8w2oXcbtzNTftrRoiDqD3Zi8HfhFDIklUkALeX2/eCmVyjgVV39nlnA1YBtUT6/f1kOBnxir/Xqqx35Yyx8r2UroOEy+UkhOk1YiaKegK3gZP7S/uq9tiE0MgZDXEfJ8R697TA4eLCSYK5dTYZdUXlEzNuKI35HYk3mp8Q/gyFDNUUmqQQv1Pa+YE127dnlyHzL6/tqQxmVuKdnhd36aY3iWfB+RKSlgsn/Ed3E0pgqAve/G9iY0oGyEkITLuoUHbfYnkjdEopbst4kMsVHy2XGPcb2QNx3Fll5LvHfiadGPl7yUr81CTMeRjElJD54MvP6tufPfjH+u7PPzyvT5++/zw/vPzur758/Q1yJ+/xbegDSXf5Z99+fLwIHD95vs7rj/M846eclfZ+D+TJzvUIMQLAhi9GVKJJkMlxIOkxdBrFwZnuXkEOCy4xWiYwbXpyLnf8Z92qnZTUnBKJNGv2JNHElbSxAXJFRZcWHX6TbisvxOtgKYEMHBuLHeb+Hjq0XL6TweyOrm1Ed6y4EaKgLQrEtiqMAG1m9udGRKrI9ZGcjBWWohMfIRRvLZ4TKGNQM62QnLkHI/Vd6B8Q1SumJznO9RMYMq+cY14hBxjzMxIpOPAaX9573WxyIGYavDiTV9rG7vh+f46xyflBbJa6zUeRVjABJMlDSK0sJgtKacOBa4lH8CSIpEyWq2m9J+PYiCT0HUizEwBnjxJdlPEmsV2whMlyqzvcd3ywL3o8mhKrp7HRU6A8jaLcHd3OwoA3LNIEAaf3HRCKIK+s4jwNmpRiC8l51+FUUiNgg+zRrnfikhgRbZXjBCS4Diau2815oGcTRWYoStOUNkKoRb1rBUMCFzANVPRmmovFJDZoJQ8ZGzgwr0jQuufMzKCP24Y7OXU39JBqBTDIu1h2xvXYp7rBpMNowUS7ILOdiIXbbem9nMnjKf3+0zn4el3++eVvH999Ux/ejieCLjLphwShRLhZcGcvfbyCe7MUulnXTOPlwtsXnuc39fh4PdjdA/kD8Gb03vWiPE+QRmG6ww9Xptqg6z3pwANtULn6CzPmsWoQmCm307Z4TcJz0vMJFtXGiki5+r9GCQcYtiw/FxbuDVRhxrHsDTmNkIPqmPbYc5BIwycafslcWupuZX1DcGb0rgjkCrYDD6MiRl7Jz+2pzSQeuCl4VEDhKCjJZ2OzSXOyh4lp5SzrVazGxFI/j314pc3nnvXvaxDFXEglEbquBv18sqYt+rqXSiKHroErRTxBubnyxgjpWeCx/Nmq1udXXeebl29a+P7b7//kP/nul//85Tf/9+/1/EWB5tAN1Ri+ms9rC6JHehgz9lWa6dBAtlnqeMQENJJivNq6dORhbXAYqmN5eeId/kiKGcgVOMTG6qgewem1yLnJali+NtCbudKMdovvWwqDnV49VlrVzrkjGOsVmlTDOKA4DoYDmsfIKl5G6IUAuzxjxw2MIdDz/layC+3yOFKRm7uhiZNCb0DsGXrO7n9nYALcJqfsCyZXcp9OLaMOt6+M52Q3i/r2veUFjTkD3WwXGolauvVJABCRe0jjSldJTDa8BrYNTnCvtEq5VZH3egrbqtC1tbfLFHWVikVepFi6qsolXVIVVUVUkkCKZJaiZdSWlokjAx/CJzk52IhBMEmCORl6T5k17j+Yj3ocR0cwruC90Y2EJI37GtGPMOmId9EkwCst+gZ57q7NOKuFqtLOVZSGhKgrS8BtkiWqyuSGeZDaRPOVkgqtRL7sG5W1RuF0VPFZrSwwfzNcFWvWbBIIFyhaw7cNbF+6oqVMGAMKs8vhEImFfQ9q76NTpNsRFEWmEs9NrtFNZ4x/uMRtSmr1wJE3KkSditR9W4e/rAJ40aRKKaQUE1/Eigsy9s2aKACDVGN2Ja2ic8b7RQ9neFiK0MZK/5yPTIhFMXjyePYFVTzdivLDiHtmpAdBumV+/PDhw3eP/mX//O99e/388frp67zpN3/94w9/9Xmgs7utI2AzxTFexG9+9ijM9Ok39yf2s89bRsEwldQkr0JGAdndqXddaFpIZhUNxOsmnG7dB+wsCgWcMEOcCPGwEX1ITjlJRR2LHAQgWEuyj2e56xioxhHqBROKI0/3f4mAJzGIA4ks4UpKUUaVdGXRnpFAz3ODU4I+s8WRcDsyyVAdGRvybnLZoikklW9ift9AnXxvKS7e/1vyCbF+TMaBfcj2p3lRBO3pH5jDHDON7b4Ri3nn0oS5wLBzWc7VcYvkcbqMohnhbcwbp9GnJ+rjibM1xQjdjvzG3Hw/w5meh8CVaSSlLn13nuSEy23wUrm95HeeiBrKOy3BSl9gY3r9RSuuTpIHiHTjoblJh/W7kXHs2O3c04vg51Vj4R5ztvdhmFJTLAb/MM2zGxuJkt7/voAGizjNzati2TzOc8ykDHFwXTEGsmDspDwH7ZkD9kmYxR39FlRlPK7org9gqDmlImeMC4GGVn9FYkjbVWnGNvxKMZQ6cKNA+SJUj+v6+PLyUtd11YN6UEWW6uIj9cjjZ+PVfg7O8PXgOeypec4xAbpjczFgx3O17lY5Atd8Gr0xacvUyzsre+12QBlnPAMOeMAZWfr0nL/+/vzL337+V5/7Od3SowRgTjfuun0Lbg2wBq6qC9qoE/vyVQlq8UxlHwH8Lid4zhuT+Dt0072acI9nOLPbMtf+napazsgSA8UCnlZBqiC2T0dSuvA0V15TciwxTI4NhpuFfVEXpAtSqS5IsxEAeVdiSRE4ZmJE0ZOM7giMbbGiVRPmok/i8npqgoeuyBSQeNUEWUrHtZz0nltgBm0NoIqLXjvlDW1zyJl5c7/2+PSZeZsixUgyZ0VqyQRzbF0kwtgo9/KVVKu7GpE1lXtZdWk1vFJ9uKQXPapydQ16kOoYtNHbstFxFg6OptGcg+eZM9Nf/fzsz69nPj/8tT6d3/af/fCP/1d/7+Mvv+WwL+I63oxBCVaduS4KpVrESJFNpBdLnMdgWIxUJ8LdrbJ4r/ZiWqi9ohM7KCgGkNE+EGHHbzNISDIYaswcC9esSGh2hHNCfixptwxuvxAsNAodrDw/z/H2SRlLGAR6gtKvsnIS2rJQKAKBz656hNN9p9jPRCVnh/GkyQltGog3lBI4wzYcaX9UR8K4j++znJYUybELd7Jf69DG9OBAzoK7xJEFSNwtrvH5l023nEWTw2OfwRkdJ34h5m2c9ojH74dmgbMx6HVC24YmOWAjrRRySgsrojCu1VrnGVetG0AsC9awOOlorhoqnSGKEFyYSxT2/0GqilU5BpSo2qCpUC0dwk735ENY5JUe4E7rzFtUe3shkxxRe6WlgxYlCUJt48wsAgkUUNg/KuBGFc0kK2rbZV7O/4yknx7JsgtRyQxxb4OLFjWFPp9c6pksVJHCMM4/uiTViNJVt+5BRpMtYh0DA85W4/S+4Xad5pA1zsJzgWr4ZH3Be4IGMB2OfkMblz+kgvMGBQuDDif9EFU3e0EUWWKlM3TUBXn2LEJGjZluL3EADGqTkSXXegJ7CqjShh/I2Jz0rF7bcCvLu3PvJoFw59LdJiFvs4GlNBJghWAJZC4RgJFIXhAxTZqlx7cfv/n4kT+bb/708fGPrzOv/ZXP3+I3/+rz2yebV3f+jhkMkhaCenx8ebkeA+NMv868+fm6Q2l6swT52I5cJIg5x50rCCPjfUwT13aYPzLjVPc7iIpxBs6ADQ7pLBMHkv8yaw2eiRTNoLUTh4V8eQUXWdyo5aVTdmIw0pxYsDtBnMEdlP9/H3Y5ppzdJxGvzwkZsFb5ojcCPPDFUiIyuPGUtOyMNJnbfAeScimMXbCh1EkgSfN73xImcI17VYrAwgpzv5MM2ExhNQLHkwCnKI9LSXXQygic2BbHfnBmjJmnlvx/4xzDZsXt3nBvLTpmb1p8tvoactTfToCXepSltcbukd+eHXe3mmDJQHcC4EHxRhYBnLklfQhVxKLXFhN2ZVU8AyMblCs9F2+lqZOIbYLaHSPZ8Zy+P/TQqujoIpfjAVSN6ijBqFxQtOWZ7hw4F24JULOBXRo5QHI0CAKXcpdl8aEAenyYvelsk+Mz6EnSRQJoU0sPFq5Z9JDIzuqrg4FsDCUElR0rk5U90ypIWas8rVHm0FwfXgeNq65s+H0n4h6UVFV14XLSS+3cuZOE/enYYT2zIcTpR0LkpCmbnAh3r3TCUkjxzAZsjgcz5Th1bYyTb4GcXLaObfZ8fXv9Vz98+u//9vO/+vH7hjFddj1EfRDlRq3PESQxah5029CjrlGpmeg78fiVNMXXntNZSqbUqs57TCki4Qpooty6PkKDrX3AAzWLumOZtUh/OJwsnkuCYaiVxMoQqo2NmRsE9JavgGLRjoJFPFDK2DrSymJzzZdRjXV5Gjh3Fs94me5cFl7NvLEsnLEBoLF/Ajk9OV6Ty3Q2kxMUmZnR5SDTrly+8AkLNt3z2vjyPG/n2YMdBm9E5x6KG+RDUtr0SBkX/wpTahEXzUuUV+MjQqryy1WPKj3Aq+JYqY5mmCJnkjknE3Rn6u0U+OGzpw+ez/P1q7+8ns+f5vzIc56vb7//s3/4B//uf/x35jEd6+8lsnSxeAFVRRUtoNpowp69e8LJ1xrMRNJnrdKqvZARKUjCDRimRvnac22vSDJCic2euFvvfH2LHJV9Z7D4hhsgbLdOc7LkfseGhI2l0rpyaiRcKgihd/OXtJ3sKNIVWVZU+BvySlAR820MZoIysPYNID7fnOs9+hMJbFQw2ZfDuCCqt4LbiZGMqDXvioOE3MwEoRX2RtzLeO/IWWixcxaz9MzwRu/MGk7gGTczRcXsfH7K9gjnrNRAjIY1po0DeqepTeQbDPyTB+4KFiTNbCyCl6O4+y3ThULFIv8gDwIMZLQwTF9VPUNbFzERIHsGM5HzMc9QvvhFc5PXmMcqtHfSVMhIxpeLVQ7DeoNpJ5cLi6vlOCIVcL9RgCWMCTVQq2PLWBB4ZY/iUKXODdNYKjLvftK+Egt9/oTHmrvTt6lKegOyUAiLRd43cLojZQ4jbQ/ku71oim7OZQ0YUew6fDMObY0Fi7gvpbTT9IEVNRhNexq4Oop/g1wvwSBCn+2XhEWLGX4kf+utvc5YJoYMJrFshOM7uNfg3aBciOi1R7qwGXUGnEAF30rz253hDp57V8n49cyQh6xQaUF09ycx8VmDK9CfqkijR6PsUsvMUZw5j5fru+8u/gL4jvUnH54f3r4+n8/P+P7fvH7/V19t2Yfgqq6V8EZT/uabx3Dkxhv9nLfuZ7fSz7Py+hIHB1zOOgYvQkpimpPlh2GqAw3fGaEezHiDCSKoiYzEt44NZ1U3BtdLsUKzXaA1DqiWRGVxu3fb4B3IMGOp9q9lHh5Fps2sDB5ojKKwP3DBxFaJ445cH/FzOCcwwTE9wZDzA+HkapTXko9BqPGgpxFZae/hKB2TkZNJmndhzdFNEUwzat9fej5JboQhs5CWiNtn8Sn17qqJoe0i+b5AZ1hiJ1gkqQdInsIQMzgzfcfORfwMoIMH5l5Ccziw3pNqk0Oz0X1rpwiP4sFtrQ+3geXOxhs2A3SPrtjUuQhf2nDdKxTxzg4Hht3FAE1fGEqTeKkZozjvdWrSdqxNKcLNzJDSTQjkvglaUBH8o3uBM87iBaDOTNzHGmflGoy1fMxeH2ugNYT4jT3dvkSIhXEbkk+TGF3i2Hqi6kyAlZpB9sA+aqWoEXBigAq4d3E6UeNydiQpuDRCBpCADrJxO0uXM8l023N43AMXagoCRIqVjzMWZuJ4sgWWgJ+AnwEbE+uXTLgini4hcjaUswX8fZojI1nYaIwIT+7TreWCnbapeCXnw2NeNPD16K+///zoo/rmj7799oWHGFTXxAZXtm+VhAoDXoVRj+krris8v3S/Hnz1fP96/urz628+f357TnyWvZllaje3wx1kQ1ByurcnHSSB3Jl3LFSujnFzrVxp/taNndoo0tdaVHZ5zN2GDJLXH4EFr2IjT5yE0zN1vTSOggNK7uQLGI6uxkj/oiELG08g3IEiHZddQCEupZgVVyGxskjOWX3lHTi2InkdMGySHpkdSKnjgeuRa5rSDMqe0hWfVq0KldRkDJmTFWEnKfbYrn8DNHj3JVXqzgQ/cxiI148HDfS4nL0ZmX1w4tSnenFL71eDpTP1hH2a17Nan/DlvH54aXzF5xd+97PXv/Of/uG/+B//6rd/+fWX/e1zjq8DW1DxPWNR8GOVFLcEA4iFK8/3otCkduq9xQ17C+wvkgiAHmg+BoIxK9kNdw7JPT3lWSHwUx5+ske3OBvMCEdcM73FPjfFcNiKM9wI0j8VAeaNFcrodaLDMccVw7pv4ie2rgbOC2pGEIdQ5nVfYBQ/0bTvAx66jDfT7xGIKQpmtJIKQZ9tvbuLPNghDKW2ATsd5d7THFQluTMWXFh1C9bcXD/kRmGkZa+LaN0ftrOXJrGdMZ2BEM5xmpZIRMgcLwnEUntNgXN5WUuIVPHMpJdNomv6jPXSCYwWMyUh3RmdcajSe0ZRFwovurI7Pu4GtzJ4jG44j/mwt9n27Dq2qBIWA6A9wgW6YkUPTo/9PlbNvmuE1swrQ7g6NZux1W8li0h/bv/Usj2pCpknUGkM7naASfPiDdClG/WKtyLMBM2zWr/7fdLMqrye7S2Y1ZAGMLyvrtSNPWtQdCdbpmD0ioIAqBGdAVdBMzCEgmaMhJoERQheAlehbU7iWfZhQeYhcyeOzOkCgbypqAr2EffCcpEz5bXsOoUsMPIQheoYSCUMfcUhH/y40ENNEsWXBAoZwyiaZ1xAR2xl3DMLcUswsOrbGarKGY91FdzuQr3g5cPjIX768OVP/uxPvvn1x0/929P89P3zt//yc/9Y/EbuA+maqMaGVSN/86Ee10UBz2Hj+XqeX9sHnVMd4V2Q8rXFdtrA9boOyCxc3xipW9ZDDvr0tgM2XETU51iGdI92Tnxmxjqed8UZEgyapKoM5NEcJioEzPdDyBVaM3aqPc4mJLZbFeNv2AJTjNx3gx82iCw2xpVNa9Pko7q5zA74bzgmYxty9KW5NZycAAckWR5vsrIxbABuUsCLjPPKXC0IBXZov5jy4J5R7tPM/YXlRm44PgNK5VzG2oFVh4bjwIo1ehxvFTzNvnEpGaeR4uoUgwXK96qaOJGEWOILecDKs2/ZUaBW5cfZVI5xDawk6m6ehxEAdugWslJUiSDBSFfzcASkpsZbZk9l9REk+WyV3LqJoLozg2s9S3ZcyM7ctjWUBnUlOk+EL3l80Z2gH4Bl0pwW1Xvdbo9ks9YDyZurJ6Eb1fM4u8O7cdUYu6mbW0twwKsVQy3AzeogZT6NCzU6gQUhLYODnisCzBmCKQY3YfB0AxBbFMrjQLGYganhTGXN8H19evqqAIV8kE/ko4nQNFW1MHNtW7OLL4/xMpjLHnFBR6zMg6tPdXRf6MU4EjKSuM2IeKOmv3RXO5ANPMICzPX21v+6X9v/5h/+8R/+8TfffnzopbUpC13mkRBFEWHyTeAlcPTkPPvr65nPc/727e1vfnj769fX73/8+sNznkaHf8nZ1yAh6AkYj2dsEBeLc1tjSaRgEL1Jjl3jhu0N+hwj+4Xa6SK25UgRI4wbGeOWIWji5Jx7IXQyba40AJF95vcas+bxxMgSxsh19wgG0cpe5yBzCVIYQ1B2DzuHE651uyZKN2F1wWgYzcpNM1GO/d8AdWJ+pXFwcSi2/fTUIYxSi6rrYgfR216VUavM5n2s5AJeC1XwgqIOMlhFMY8HOagH1c6u3owNahrxN8/muQPBki8K08Oqi9lUjbdz6XrV+f2r/+D7Dy/Dz7/+8ef/+A//8D/67vd/+f2cP3y53p7X54Hnc/ib19WDZM4ImreqKRNr8DbMlZ17uQHn97RNl+naxbwOmpg6mV5B8tRGunlbA3oX6Rp7CQrZMj1L+qf7SYi8yOyLZM8uJwfnHUHPmcsRpeLW9w0cUq4qj1dEVwpmgbufNLVh6NGSebBYyU1iYRukSmYLwPfQzPRCnSo4AIcxha9RNXsNw1M9iQpOdMtOdorIEGVw+U3uT8jcgnc/bkWqpwWLqIDBZ6DC5bRa673AnWCzvnYRqE6CJtdlChqj9rtLYghfdSPORdtzkaN8EXWnlK/+AaTRG2CI4Eoh2qNtWVrf7s4rHWNIxSdqJsEH96Xu2MfSz8f+G8wT+25mH/S1+oJmbtD0X3mwsFNrzkOuiwxK5DgWizT8MW+thODfGjrSwe4mBWi9uYa3q1tOLhDt9q73zBAOOkJKEAlVYryfytaH/YPydES2s9gvncAMIJa9O10wGIvl/QC8gwuX7oTbuhc1dJ4oHk0Zu5tghXHLDnSLTNoZFktLhNTqcIybJMUKA4P2ZH7Z8dLOT994trCydzqO00JN35yMU7GHDWbYbV+Ui+Fi02fR9KZHSpJBXWYMRDE/DOOsYRFMzMLYL8DAJZNugNfL9aiPj2/r4VfO449ffvanP3/iS7/O+XF+/1c//PDbz9JjPFpXOkVWWegXffPhg/UIInv5ref59vaWBTWzLXcNDsBW3CZc1J1Ed5fpqgNU0gkiZGtgupuNEjr4yjuKwo1kSS9h+fbyG8Rz2e3sElgcIlDXWkCzu2nJuRtvBKN/u9KTLj8my+PrDrUSCkaVe/G+vLB1OYaHm7sFzS9UBm4rz1OGzmsxAyoW/ygIfI8jO0pPJ7krgLChwr2xMck+oo/zgzjoAp0JcdbxzdWJwPltDZX2DM8Ymwgj5vkgbpBmVQgkLPRz6sHEQq9xaiZBy5MfjPbEwYVRbOVC9SSXKTdEBvZRpCFBTJKjOivh5KrtYmMasEjPQCGzKzJ2JS84U80kXiNdd/oFN0yIaUUA76vi2cvnBsUUHadQTmgAgSnFy+s4PHzzuKuKvYvjMk5zX4o5mb1Mae6GkAkgNZjUKzDUQ91kKHCBPcDJGrd5XKJNXpFhz2lTPJVwqy4wIU88g2tqguJ7NRXouLUM11ITCKQYFDSX/E8aydDAcb/dlpZdPNvkle8FxKDNx4PQzHNmnkaDp1fDgjWoxBSKcRHPYhZeBCU0YymfvbUQhHtDoixNGH1t2c2azAGU2w8N8oDVh/WI8KCGts5X61/8+Db8zZdfvf3dP/i5ImQt+Hl0NfuQ14Clh4VuHNT38/lMf307n96eP7w9/+b3n//N5y+fnv7Up7s7uGhsXTMzU9bYkcQ74wHJUfQCPcMSs5BrkqU7TflwsPrrXBIhIyM4GCAxl1mSWfEMz7LvZ1ejYFWpDhqxa80RmNjLEIfHTuZHm7W4vCdnYEfecgJQISEdA0y4Sd7bkpCCOO85jAuI5rfG5RclyIRcGbRJazxFDNtaQ+bMc0A6AX51SPBS8ZqX86ZrNbOTNg+caUNTw7hVEoWQNqmQmZxsAWDlkYHhB/hE2lVdmFM4KSgRQ4gY2E1r+KgQjJfs87RkAg34OW9nHq94oz9efP309Wd/+unv/i9+9Zf/r8/4n15nhhn46uJpXnmANnJVADkj06XaXpwr08FOWkZ7ShdmAwJvqG6PRG76tBPOGchqxOwhQUbifdRWJbPRZ3sFplIhrUGKT4QEDgQdQ22u3DyMieNixqlgkvR6jsG5/yFQY1pY3GOG7YHXnbi5Pbk1oMDnnM3vsefe6rMdYQYGxnaVpRhG7hr57qhgYNf66BaDKFK0OxA7ZNHdU4bSr5lgdDe6g3gOg70ELEoSyEJUe+3F9JYg3TwrMpPqzIASIqaTaDERLk6HXxwsR0v89L448DvDlkabOxEG1GcuA8OqLOWO6hAJ9xB1Cw+nTLCPsdQpJilmpnc2cd69FyWcQNBMcp1kTjnvD7A6T7gZkedAnEOREz9YEGfc+vhNzrinBG5rvC7+HUi9z2wWEg2XNokOCfeh29ijvVNwY3jJEsoPMGjNfi3u22KzDBSFlF/WTO4xd9onBwYpI2vmdk9zxto0AgvINqSgCgoYl/kDvLNvubKIO3GI0DJXeRqtJTZuakPRr7nUWZi4i1cAFN3ba+FubxFMOFhjGPQNKfDa35ixv5L6GcbUEAeEb4OKiA62DYnoPM26MLsfhgXwwn5Qk8uZKF5zElMmGXgpqOZSQd2q7779+PIPeH715Ykvj+fjd789v/ur53lcFss8+ZwDoGNU9fFnjw/fHV2lPgA+uc+blgtf3J9u3Q/3nU89G+FUqmD4CitUV5hkTMxUxrGNGURwFClGPrg0YnnUsYI4dvif/ReWCKVaI4Mya1IDZDYEWGijsmgxcq9YK4o0K+3fMh646OnnsRM562GMo8pYuS3iphFZE++VKc70ljhKA9UC1KpKOyx6bsXMrVpU4JUcQvnkc0qrSlzjiI8HwyqtzgpmZdAcmh6jSjDQpu6FhO8bRpakpLM1kA9OcihCwMLTL5E3wqMan4zVoDBvDI8srglAqVc53cXCeDRinFnRwGf28ordAD4iBG8D6nGmrKlBL6c2+YR8emAUAUaToSpcdFtFR4tHJMN8TURRMXetc3jVX1tN9+uaNLAiWbvmXIUZm2wo+7gnF6zHVMtFeFhTHU38LAIz3sD3pRksa4Aqug+1dhGrt4yqRddcrcHTO0RdVMfiJ50YX9iYq+jQrmTVZfci+SzdQqS2VEeqc3bVV+qFiV3AYOCqxFWkqkfZk3NDnNOA5pJrLpG64ti6VvMUrEhznmy4XZget1lwM3GfakOdABfV6lNXpbQjGDhYnmoTN0BtpI5JJfRnAE/FHB9ibSSd48o7qxrQuK6Zf/39j19e3760/84vfv6rD9fjnBLzXVwzA3W/9fjV8zc/vn7/9fOn1/k6/vL6+v3n8/vPb68my+fp8QWf4WWMPWNZOGOI3fBt/ArYDgLTxDX9zPfK94tyOqpRdvLFV24VZB2lDJcqnUVjKTeyjNemr1gzZp//vfCXBOdUsTtikGyKnJAlzM7Q25uLxdIJusymd6wyE9liElPY7J38bxZlc9huc1sXrkE7EzZXD5Xr9XDQsr0xJrErhdvCvFEkLvocP7rC5j1Wz9IE0TXG+JljkSUusQkRhk5g8ixTkoiwG7Mbla6yu6QG1p3VFgGNKQ9ZQMSX4/RlpMbCDJ5f+PZhHl+f/dDhh9dXXs0fP//uz/7ij//+f/j6P/zlvymo+Dg67TeXhHa5R3TmoUnE/BBiJ2o62GpoV1LDXiQ0lZG8jMy7ufVrFQxY6hj50sO9ptIylOCegoWLIlJeKxn3p4cv3j4iSHnQK66WpahZzjadR3yJAbjpZOluDGsuzUi+CRJpybJSEDtgLt0ZLjVEDgspkWSlgxOY9TSZQiPqV4M7GViUNQpBjHcx7A36GYknTrcccUNw4L0KKMdTrStkWHi6UdFnY6UiZc/sbFzBxJeFi2nL6Qo47PLG0qzbYsVM1IIs2hFEV2wcu93CCXLcUd/geO4wnWHTABaewjg5dOmzN6T6oewz8+3ThO30RbH6FhWauiMo6aWf9kvcIL9AecL0rSbY5NktJhHU34E4jApnZa55QiMBCEvALdo/pUes5mUFTnHyZXAIkeKd/re1sHwHzgXKQHJbw1SsXjHYFoym7qFD28aQjF8iP7CYTdQ7cuT0hm2JZWPkSNoM4yal8medc903ETHBkl0ZxgnNZObbAdKJ6wpNta868zp3JiGYVX2RDMU+gXv6CcfnzvYJvzOt5Y2ucy758DbpAfYp3TVUEWjhwQRoWBomAHwVfilryZYCTRb2fQOX5Gw1rZ90R5k7q4zio67SNdX69vnzf+dn+jufz3x6++y37/H7f/X92+enRzODK+NzKT3sA49v8M1HqyQMeZ23njeccZ+jxP2Jm4nSZEUUhuWdbvJIveZ2SojEEjD7GdPkChc0nZlim+5xTfpTruyAJWaxSj5wQlCjZ1BKBHDms/R+HE6NYXZVATOuqsEwFN/a1NIvUlEtxYMfN/bMWFWeOJ5Yg1aQ2AhmedtN4GkSpmc7hH1ozALvQGcbrh3xgIXd9hELMJe+39yyPF3BnERyGtLoyIXxWETboXfhxOiW0RczVCl5WPSaDYNGwOyeuVoQjWvWJzNWFkjlYjWMmU78AK2ztqQlB21MnenA1pq1eqyKw5RWYF1O5Rztn4tWgYOJdJZRk2i/5eQ8Ngdg7UpbgirN3OuMhu/Co2Xi2YnnTaOfwnxTP8ti2tuQj5aKC3XmSY528C1h6+wthsUqITbgxBTVeRuzQq18lege5jQEo5v7USVi8IBxjC+vfrz0h6Gu4bN1lcvPsXpK8liaa2qid0wd8crc3ut2Mjtq9yqmitBmeSiNptwIwjbmJXcMqSelFBKbjjqowOGwLnsH8+c8z5yDbAz1TobRW6br3UptzO5Ty0RuxHXkzlnY/bhx9uRiT/XbdTyZ6OEx4qjkoCpKg2ri7YmCvy1MNx84fvztp/O717/6n/76d7/6+Pjlt4+PLy8vFx+qj3ox8Dz+2v3910//5tPXH7+8vT7x1vNVTxxSl805NkfwExfGw4GrPdMueJ7IknZ3EltNez/7rL42SE57HuATgg5CG4RfYe487/OPQqr08/KLeJ8weghl2QnHvBbwNUhU/NYkzPOcti48D+phHpQunY4ppntWEYxIXLf/CLYR/HOcpFoCciNWIF3wkwEIqIOOSiL8fX495oA8QU9yg309Ho4IJ7ll2sULc+CE0PaROdXdLH84c6oLhXCAK9OIMnIMumFDSynJ6XNX13Rf8ySGrGHn+to00sHWhVmOXHT/pPEYBGzklGsGc4w+0Jd5uOvlqW/Ab+Znv5q/+M9+/pf/8je/+39//fnXn1/6gurXfoVfiFm54LqlYmtpOzHe211l+op/AlGULuq3m2q2r+bKR71Y8SQxAQPUxFcaMNF36t8ORg5sfd83fkf+N/6MvGtUqtBItTemZofuyAQXouIoqc1Z5srVHnDjlLN7rgNGZRCdtPZL1ZgFDbl3wFm+NDwVqd7h1MCV6SzfJlVIuPQS47GtQVVhMZTQJXO5rtQYlDBzzDLeX4MYlJV3FoxhXKx3Z/H229z6jHf9yGQOxjJsZfZiT9xGTq4IJVejnl7El3E3wZO8P+wlseQbl3RZkHs5bpWjkFvPG+Cb5ojsnUPGnS+slFocNhx3Ey4As1nTXIBZ+WjixtEcB/XKgcGikAnZ3WshdHZUfOt2yNtbEuVG4cWsAUbyUpcPsn+C+7iIYjrf4bAi6Y61KEcBNFenxAy0m78/NFvZ/ClihokzW1qMQ97FM5UXd5eFfNT7IeYcRSJ1OshywLbA/UpY13YbMCbZrhtOH87xCq+yDVim+dS27fi3iSV8qzpCHS0VsoLXvON8misMSlZcGM1eKdUejxV3TEY92Lw1CmiBvRkoObzyrXKPGzVod9rD7Ra5JzWvO0vi86ILyZKzHrQnITq89PJH+MU/ePndyw/+ZL/yb/7y029++yn+91ITSvwqCRUv+XG9+FJVU2APe9w+b3MGzOCWLUp5LGYBnXylkezUyaQYtvhOIhhEo3JTQbN62AkD7h7Yp6QBy+ttGubjyQxLGF0BGUlXUEkbN43t5JUQZARKBCfLe7jflRfCiW8j/bhA22OJ0+xqbS85kyecfJ9xV0cCho0TyCRWG5d5Embp47qQZA7NoNa7cZ8b31fFZEFCsU7sLvL8tLzwds5G2JEMod3v4xxSli8W4heggEHDdHIzZnzlltcFH2MlXIJ4tzyU2wXMjADY3SY5cZYt2WYnqe5BNHb9UA5o++ZEcds/bdqqXfRlG7AEu/p01gCa6MgmIFTWBDDs6sohE+ZvJwuMqfl34RXbl6atwPyJiQovcAexEKs1XZEmi7on+LnJqfgNlkQPTR/REQdNkc1hC7jxvxo3CXfmr4CAgbzzHIB2RAGcqUs5+M8G3G0UqB4WijTZHvQqIa8qHKo6qxNno6a8/MoQ1EWYyb0HjNp4fBYrFZY26D4zPMk3Bnd35aE/zABX995KT5z/P1N/16trlhwHYhGZzz5V3UU22RRFUuKQoqQBbFkDcwRf+M6A/79vBF/4xsB4gJE9M5KoZndVnbP3uzLCF5FrFwmhoao6Z+/3fT5yZcZXnpfEmYOv8hmMZODAz+ac1+AwXCQWu+EYLNTcNsErNnFi/ztoSAgCY+wqmByZva8gKgq+oqmRCmDNOdVd7y81+LxJeAqFBxL+4Q8//cMf6u0N3333PPLT9by9Nfs1/vr+/vP7630sEILeoLNDhSbzcM0Ze4y2cAPyIZR49sDimbhhCIxWseQCcOQu9fQLMpFF7aEVgXCAOVKT+7c1pmraAlqMVSJ7a2h08uQITlX5TBfpN3HG9dR3klSxbXQ28VWP5lS1xxYID9gNH6ebNusq91asHTwlxKxhNmswhq0GpntR4H09yZsHUJXBujZzIY1AD12J9j/L0lKqgqaazBIos0tF68nJWYBY4tjPkykbRWkaZitsSYYVQg7ukMagWEOV0W8442fq9RLgifGtMtfU6qXEkiZ+sVKJ9nkRdH2wX8/Hx0f1j/X9928/1s9/+t//8Nf/4Yff/y9f9buqL9/P87sH7W/EWwBNq7SKj+3JNj4+YEVOovLiUeu72JQ6ALfb0zKW1xibDdCYNAhRqyY5gZ+owwUdaScUA1ujUMQQ5dpuM89ZOrbhAqWrGrrC5Pw0RcPSVU6VjbLkWuuAB9mIVyUpwTQ1QOWUc458JNooA3LUONGXQpfSKMRjvqdpoFP+gqheKiTtb1+jQxiL2zaKYPYSAnPnmLK3947aUYWW0XsBtCqOm/u3jdwicM2WHb0mWetvRRmn8azEN4N7mL+wFMCDTzhpU7vW62/+Qm5uIl4EDJ/dWUTl4UazGiAismLfvJvqNNzHRVoVTWB+SuxA6T2xLb3Gq+dKz7nD4KL7GdhWjHRfiRUacFeAW3Fq7c7cHS0xwB6bK68NgMtEaC+4t7/uCiSytHqV/gGdbk9t3g5vH7VC9nwW4XHwwAj1c3rAW6vCF4UMjhDkupXAFRo5PzfjTX5ZweBYQfE+8Uij6iE1IM6GkDn7Y8JNRIrscLTbyeSNqAiVETyZFpqRVKTNwcqS4tlYE4l9YwAjSonVhkyf+skWxeYBbp1BOcYhFOEBOk1O3Nv7HmUwdq0rSCYrlGjF1L2SFjjftbsb9vNW7Rr7+Q5/8td/VH9xnjPz8eWn3339/T/8NC+s9jNZpEHA8KDpB/2Fz8MCH4xRc+b1dXySiSE6fPGmXu9EdLAm0+h3It0oPqhBuidZmBj7gdIJsUxSOkhvQwTaphydjYrtSv/F7pp1zEQkV5xdh5nCt2bqJ6RRdv+auzcw6AHTDMEuNPECOxP42vvsmV2/m2h5H5oO4+ncWu64aNPRsVLMgSGEH+yVaDKXZndHY39GCF2irJMpVniVurw7MwQS49pzlFyxefD4hUpCXBK2sEZgUFS664DEatSH58t03VXban2pTkUdsss0y7NByPCq1eI5WtGX6YIP4qgnrzIxApp1qnrn/42tIAFrXAvGa19QUEHfG8XHazOTimuuywaYjC0uZvUesjIMTsz6uKhZD1RMduX1ql2yloOkUHJBiqniyGA1Z6JiXi6vqCrapRNB7sq/Q5eXY2dV2e4IAJ8MU27AhIYopT4w1bsX2JKNeum0aONtSk+zMxbkuKjysG+44adG6kmwrODn1sng57i1hM6pgDwTWNxGMIvUs8fylEoxR8z9ewJ8StA5fvHlUx84OM8xoCpp0DxrrljlXw6fmCXXBK5AsJc0reCLC3us1p9IyA0TM15bd2kXwJb81I1ZHh9Nv/mbnu/Gg/meitf7+dX3c/wOf7zjwPUx+HoMy7be5OgS+u3JgkvNUfLcBrP2wMGZiXBp11cP7GJ7sE99+qgE9EmvYGqFAnpguGQ3Wj5kdt6iRNtZ+VvMQyzqqSZUbw0+TwNdgHGmBM3Ry34HHtoqAjONwhOXGbtLOJ63qgTE6ax5xAALY1Zpl0ItChcKU0XohU0wXzhtLcGzxaQtdcRvAUmN4hlVVzxS9u6OI2hotmTKaI4il2HeR1VVnmKKPSEdrBdVYjeAItnw68QsMkMSr7jUS60iPOwauwmokpcQwIxNvtg0m0ew2dEYUjxYVIWbGNkuJXkLfIoYwVDN+xfy9f68f/n4sd/74+0H//Xf/8X//h9fv/tv375zu2HPl/pytJgks1CU0Rx7+bggp0F5OwoMAb0A4WqsimMMosHxAZ+APTkpbaIaVC1+5u0rrsT9U1+wc0ZwUhe8iXWwrqc1kDdg5LqRHVgCSx6DqJCrCR9kVw9mnxbTG3OyxgDvPm0UE3KNsv3AZ7Mb4z7cLCA6EZlwVUU2B9MNcBfeYQORku64+F2Uw5FMBPiK2BlSztj42JzjN7EJaVRnLWWFKPn3QqWIcm3USIuYXrZQgq3o61SBrWtZjQ0FqXQc4csufJU+++F2vRdZXIlLAOB8LBNZkZlh0IIWHhQxyZOGERtVnCU0VKaG/QguKJtbkwqKQaA70DWaHbMWZF2IfoH6KPQ7aiRkyVrhsuAMS5kkvF4QMTjirO+cC4HuA77z497fX3rqnU73odzgDlRH0wQwqvUEGFl+LFXnbAz4DYP1S4++NE3+EwBuTk8WoEQjkNN87z739i6NwqXHBbciZQv2uEECzEjg3lnOdzIvk1lNyw0njXiI+8ClmGxgkDevJvKhS0/uc5eniHsgZt5f4psL/9BwWsCoi3BHcuRUTjaXwQYGfXn/2zpx25bQxr379LhmFuxG+EQHFQw+LBTZZkdP3UXzi3/9F7/+o7/54/Ob4z/Utz/M7/7h27efXp6W1UDVYx0S7HqeXu8on2Liuh9Jc6SDM/tGJQEzNmDHcaq9Fku1FANJbe62bHME+zOEvow3+WRYyMhDS+nbAnGhxEnFi1/MHnVm8TyiMvkwp2Houan9cdgMq6gRM9UuUCEjLrUeuvPPwYVx75kCNISyaK3QupiOoRAvAQjPqiKShhOodZ/NXXSWg4JK/iu3Yc6hAMYuy8Qx2kmMiLXH7FTcEGLFbQVjnV4hIFCuio1sxaEYBLAlr9iyYL80X7oSp/GiXvTbmHVyU8dbhY9waldS6MZMTt6EvAG1c4xg7jy0MiEWLktjAJrITzbtIg8NG7VnQlYgUHLEssdwKD4I7HTdlvhwr1Za8zz/tRQ3gSuDX/NQTqfF14AzqHKxKSnqOtl8WBMKd/PBaNkCOmMIJf8yLY77bFI5w2Mle4ErKAQ5gTfyjKxylX0k8kAlDur5NucL6QOzjbPDu2TTzXP8GM8XEV3igZtMOmptu+HPNw12s8jeljXzdHijq5PwVVPEc+ahi+fjsJrCgUFLlPtImpKy7VS+jx75WXO8IBAu5mncrWz7+sCS9TA/gUB86wxwKIHVtfQpYhtOhzj2U4uinsel57xUhS/Fj6Rpgj2oB3V4Hn2Z51Ak56DosdFVQsFHiE5lM/KXtuSmXIRfFgCKs/L6Vwimu5HQac/MqpM3SBdYjKBmW7UYb5gumHCDq87xAxb1+vL21s0msy+jRGLGrKdKBR0Zwih2bcDEY5xiqaaFg3n4BuBVc+ljg+rKgBsmPzU0qEDZYq/1LqgxIqZcaClwv1HFxDavsGNjd/PyKf8yjMCNJDdlvQFjRCQyO+Ti0DUJqNcgUTI1nDPsBmaG6OrXCGCsM3YsTmq0sW66mQHe0AkfgOEpu4s9Pqg340WLY/dhzr6B+jYV2ZfyBDUDj6t0et5++nr0hrcvX75/98dr/vDz+Yu/+ou/+fuPH//n//njXXW+o314iCfYYD84wS1wKxuibP98gAoX77uoI20ax8u3ACAacGmjnCGHmgE6iePRh9spttgeI6igOA3IAzyL5EfT3ZEhuHrNN8Gigg0VOOmewZbJyi0E1hOwp2BOhhC7XIU08xTICjxBxrjqQqEAv7g9AcwmUEWtiAQJP8rTwAXVCy17bWZW9iOmm/snnHqaa1ZRghMzQ4aRiBP9hJ+N9LwgBDPNtNO7Wmo/Vw6N1ih8BS7KmRzUFIXMxiHLY9/Ln11NVGmheyeTkh08DfHf8HYGG0koDHPz41AhIhBefzVXBJLDItIjOvzhbu7zWH6WbQBV9TAyWFZVki3dneuchmCFAb8wFBMgsbYC0U7HuIRFKkA62Sjq9Ek17Wx75W3B/jPZhqSdpZYRQD5IKVbIjYyqk5ASmWmCvByBA9kT43DInzTS+kXz96uK9VZArWuADroYasM7kvjaZSLc2A2vCzo7lmNuEGztCuhoZ3Oue0WDNJDhQhH2BvrJulPERJWrogy+ZvCrSKPXM26FQNiE7rWeZCz0ElOZrzKDeJ+NXC96+ZEAptsUMsJNWYZHtQfxEyhmpT4LMwJP7bMIJsa2XE01+3kelKueP+Vv/u7773/73btefv/u9//49R/+4V2vIvQY49KouvlW/VZum3jIJkbHQPfjgV8+M3OmlNjTrI0op+vUWJKN7BKzExtlmCwPYOIMQ2GBOC0BGoRT/eUlCZmWx0tVro6FEQD4T5ZWuMzKGgusLSvzVWJ7rFEExp8mlzswh8kECp3MxRGjcLULY09wBCSOxB5zWMiOTl7mzes+2dFr54HKsKIMMAwYYCYclE8tmh+ubv+IM9Qtk3e5HBQ30AW/UG2ymjXrMArsVPTa0r2f2XJKX/uUVUYTfEkafPs4mjpzzssWj/E6fs0c4MP6kF8eTSpXe1ixvwBVe6W3YLuAMDv7mG8jp8oS5iWFJouuDHtDJW0Lo5FtTYFT2HC3VJ9isRqPDU1ACSzXgY3pyrADKrgjkhsQjVLEu1jhQZjz5M2hMHt6gatBJk2Iq9j3FFTYFIDax21Mj51lEDBs77GXTwATOSiqikathDkangiA2QsfjCCfqZE+rEPO4By9xrI+jkZzjvXCjM7BCGfwOopkCZaU/B1nq6BhPuoM2ymVaUuCn2weA43eHAdAwMfw42SnxzkvvI7OkV48g3HZktRsj9KkpdOqC3whojcsLLLB361NzIotXYbVKVYdeFpERzuwZDE5U8ZtQ7PBGzR8cADMx+v1MUd4AYZGxDvTZdnnTcBx9pQ95S9yMsiOfbqPyqgzHJcMqeZ4BB6Ma4Q5ssluoA45R5MeWrKcpYhWUZBKwIyEyWTQQqEB1lMBTCJCWH5riRCjkvZsW3NmNK85Z+CsHLayp6XaXdWFzvDhbgOs53m++76/f+sm+63eur+Us06yy83T9FNZDu2qNKypSjymt6lmQo7s7BYyl+c3AvIjQl5jnc5phgqayFk332vTM0axBToKl0yuYaqV4dTyMeRxhEhzkhk1r9EhzJd9jo8k01lJbkjZDd4zr/Ma21RVdXYKdHUXqF74FtQQB5Y5hWyeAwuri8nBLKj8fHzIw9dP+PaT/vD1/f2b9a013/67v/+T3/6fenS+nO973l5vx3hMmJhB+UHXlFHIns4QqkiGuncyyhqNhRhp4lkpi4W4IdML7PtLgq5Fr9JEREIUGgsx3awSqhV15qXYEZn2CBYqXHqmRq9HGo4juaqC+M62Zju0A6YA2eJJIltQYtAbuKdYN2cfpBxBlgfRyFgbFVulwSaE5cjuPchCk+VhqEJ1iSg2mqpRakak3IFnBQbcCsJaNIssZbUw6U7Cd9BZwi04AFTB5Yr08HpDgAxU20/P2usftl1VTxWru7tZ7ASJk5u+h0K2U8Hx05sGhzI+5aOIAiuHg0hIZyeCrBxVWKOs3N2qKKxsm+1tsldAw+3ptKzsMqhAoZ4GoKdtA7vsbs+wZV9Z28R2oJi5/Wwt5pBoAEUW5Othi7ZsQZEK+I4NqN72xv5EHJhz2wspJdmNUNX6+bHtrwlYynJi2yVlOk3qrXdYzPfIoHIZAmmzFFd1nGPCAMq3KoGlpPSEiUma1CVu8+mLyTvsCKC4OrVdMLXrlqxsJC04qSjZ03nmF6wqz/VSJvnLyZJh3rgiopwzNAlL3BcgAolV/HtZc4AL2CItZEzvUXvgXoy8GTm9Wwk8ZTMKiGgcIvlnbmyhqp6HTT2F562fpwqoR/Vhqk6fL3/z5Yd/86vz/dfzo77+49s//m/f5psHTzrvp80vjM2D9AOQ6GZXrbZXlvB+oGzTXhVUoBFsIAb2KQx4wSfaethlz1jWdlvxkwHacrVtm5dYzdMdSJ2l7f2IApMUlBGBMEXN9sfdzNozXNB2h/BA/UEbFq3NIxX145M+uqLfzWsXeMBAQT0ToK8wMk7Eed45zcn8XuEXE6RvYsV+mQ3WKszZKho+8+4WMWtpIk5CugBlUQQ5vPLNycPbelZaSLfYDnWQ4wNedz9d6VMT810Na+QB1mFzcKQS+3VwpS78mDGhmU9MwBivndNiOIQEIi1WvhrCEdyjIYRWZj1G9pf1jRArmzPSNS9RUW4WXa6SpZsAzSdHSEt5JatS6b1XNQqIjWYzqMzHQg6NfDYmaU+5G1g8YcxfpshBrfA4JJ9sdDmGgnBQF1vLBU6MT0isVQOClbg5g9sLbT1jP2EgmJlYI9QiACbm9Rq/TgqlMfUaH6/jV+a3w9fRnHOkl/wSRmW1T/q5FOKAJ4mFBKXdwxaRjVxEoQpkxxpvQQfzoRmNRtn58DEj+0ijw5E1tiHH/v22Ev319Ta742+JA6ZShpljjlAyQZb6ZZ0EtkvbNabDDzoGS9RjW2NiPBqdOYM59EDj4zcJZ6h3v2tG59V6kSMPfA48gwceChr50K9j02d0JKlkHXrs9zlB2kzAxxC6PFSa5IRD5PXVMkr54BbMCWUwXL+mouCENHKpsvi+tlA7OoIYwl1jyx5Bxx9GbuixNNbIV+4fY0w5CDmrXWFo4bfml+q3px48T+ntjV0osp4AJGY205e7glC4StmbFOMNKrt0YFAhwhfeojK+ypDgSthaZF4De260bKhOPPsEajaaw57V9qX1Zi3CwWIm3h0Is3nw5fHY0AgvvYaUPKHPgVcic6HgFHN8Jdowmp3aObHkUjk8lZB0y56QYVlqfcqqEV3z7vmYj/fX+1e//yz93r//+g/f/bX/9v/yz/FncTM/Uy++ObmX3cm2caFGC96loQ0jmk443GYaPF8xs7dXKSCxZgRW8JwTtRTmBrsyzmEJYpG/eCpsTPRHXHV48opRXfsp09rknNzEntUmmEEpRJgqdBkXgqS5QtWFG7nHXqIQcrUvVOeK4hdVolxEHr09bOIouNXBUPk6iHNMqgEITy6OJhcv18oGVImyGOO1UYDbdZ60sbDHUT3vyc4LRZm4AhGQ8NnOK6AO+RDR5D29CyGXvl1kW4DfUnQLEQVYwhVEF/2spTsMxngYkAVADw9umEheqOCeCebakF4j6RKIJGvDSXMmqVnLt6EWAgOsSJyEK79d22xhDo3stvy8i73DVFjqdDaX0LbXhI60cbXINFHm4NaqUJrXwAas2ohwZNwB7EN5k47GNgB9hpbgerqW5JwON5qS4nCz9pKVionQH4yaHYFBV95bWFFcXoQBPpvmbR9cxFlsCfteJqchN20uBfDZqhViRBdUYK2IVjQVb0ueikRSeLs3xCSwaoUoJTfTKwifTXTnL96MuF90YpeZubwLAGGS4pG8GX5uotuHejVg+iTI6TQYUazkoz35ZTYdkk7AgwrqZuiYXU/z/emy337927c//1c/9G/Pt5mPr/z9f/mvX3/8hg9HrK8iUaVCRzTyhN1gU5jmG3NUSvOhec0ZwjojFh1zMNum7EYBnHZDNR3Scm0O8ngKnkOa647MDbUJdJbd7ONIUpEDFlYO5L71BBPdQaPdIknlTW7v8JgGJPnsRIJlXDvaO5o8hLffg8oAZXrc6aMVG5pdizYu0Q1QAh5WEpxakRASEqvZG5KyEqAFy4PHpk4VoghcX1i8UOHzSKO0AnBwzU85erl5S2abu/sduGdmhsHK411eorhlxVtUmMPA86kOQyY3hBqbr9KTnT/02r4O8WA3RlmRCgwjK63QzjBq6b41oFHjFV8jRrDVBR+jhe523u0ktUadSV7jWpStOnaraGcCFQ6Ydd/Y4J3CKnMQw5BdqOef4NGhLNi79i1xhFaBk8QyRg7xhMw0A3ulD12llmmh5mS0C23qXNLw/bG1XHfc0hxhFQloIhHIm8yI8eS1MkzEurCkrgY3Ec6GXA2/NCLmQb9YGDxoo5pqUz6AfIDuMpKyGggyL/BOsFRsQeUdrZ0RHCM9gcWieeqQJpGrOW4Wx5JLT9CqZ1nQGMbqHiH5GUZDQlMmR3lcA5pwOS9vkcc+MKFwzFNTJpoaotCwiDNiwaUheNBvgqqA15CGXwffAWM72WPvFq3To+MhKE0CaSFRAz41o6TCC5J8cpuiE3GSalnkwb6PIWYdpAds9AHgwYluftm5JaYM3J1s1qC7VjSSVReWKh5EDwxIEp/NuxyqXAm16IxkaXYV/6Rguvj4GaBLdYyeUdI8O5l0byxTdVYqzpyh7fEeaBxPxaMaYAILtnDREq3wtiS2xy7XIlisSPIRX0CejaJqRZnCAluZwMMgFpcjYExSyvk4wTRsbVCg6iDLvOljsCxOGo0g5oZtzb7cRBlnu5EESGz/Gr8XO+NvmjFC40ND+tBxsT+qf9K3L/X9lzd9/UP9cP7V//lf/Of/x/v/73/9iaznS9c3Sd0J/wjkbnc1fRJhsErIoCbbxUS/LdGtaPv34RdR2ROfZjUCPttSLImxz3r42SkSAW9jC1HVArGeDAcrwK2UnZ2L0rprSSiQnzFbqZcErrcgNBxi70YUP+sXDnO/Zknm7zjg21oOUNKOA0GEcP9g5Cg5iBxM1RCe2lw3YJWSrMgjQ9JWQb9YpxfNuUoZJN1KSa1LJ2tH+b1gxC+6Y2rXGufv18K4C/0Y4CbED509clgo302OuYp4bBItIs94ArMaV/B7cVh5ek2zuXZbz4Z7eaLy5yJS5YrU6DRqtNmr+oVZNQkNonQab1DuulVllJhbwy/QcPfrra16W6PVNmRcCxO3YF5OqYovkg2Aeszb5qcG5kHyvaQZSjJ+eL0fGWFLcHXuWSEPeFWVvWoBx4QHrGYrMZaFRXGzEabowLPAanOWh8makpSq9Ns7bpMEK17umrkBnmtRq8xB0L40uDyKpBi1rlL3zp9xMKXFjIIswEZ0dnfK8d1lmCkCYHa6ssqabfA2BD4jT1fN5ymR9yFpT3WDR/Iop3zkk+67WQVlLejOlBW2tnaa2X81MN8C4vQ8SWdHEcUnHKV8vp+2v3z86m9++NXf/Eb46f2df/j6+of/rI+vdbRgTpW6K0KupzqLxSqbhuSX/QN4Zs7xxznvH6fRgyoO9MTFCtXlrLRaFD6sSDkpJScSyGEcpdPK+8MjB7yyOGI1B2xdwV5whLthLB3ig/gfiVKNh0mWEADnMSrQ7WcqnGA2G6ecgDzGY9wXZNc94nNoDPEq+EpXItcToq0LNQ5LO09cu0JznVUb9rEwMxjFPm+kBH1B9714hZuOkLofDz8lmngD7MEnmAf4MU0vBd9ZtJg3yrV9RhCAlczAx6wHD33m2uWM1kl4kDeydjkoPcIYDzb3TKnB+e723mugjFktY3iLfNmy3dTlo58ZVaAm3rXRFZFD4Pokw4TfxDBQhlTel+3k+rTKxA2BWwJhwB6rqgloIvuvSyH7gnYm2r2pldFUTgL94Nz1kVFMHFV4R8lgW2T2pBqwxtHjV40A7GfkLEbSvdifUiIGdb1cJnkmvma/UQew2I3CQ8lNV3dp2ChbzTczGVi6m09+/jhfnud5Ck8/kjtYNh8gnkhXtXWqGu7mw2rg27HXV+EJEW17qKesmVJVKB1Cc0Rjg1u5zFzmgTTg1E1hgM3CbtgOMsFraA4sBQ3SOmNzdDYmOwiJWHU0SeSogscPe03K0kQ5yHqrychnFqY7zJ9niht8GjhloTMk5TVKYwOsMevMeNDgoT2Fri/yKZWUHN2bcV7ImG4UaiCgTg3RSWmbDTCJvETb8iBUf1yYUNdjuQIvgNbL9RYnW9AmyXgon7k/wBaF0hHpMUuLpmUa53BazRrX/Ao1Gj2c2IDKVo00zfYbl+XTBz3W7fuiNp6ZN9ZkuUmkRtH2JmYh64dNclAsEodsuOLZKnsS4j93BA/s1jsTSsJzsug3ttPkzsaQf1W42o+E1nbwMMTHmCSO7lk/tYidX1aNt6PYdib2umFyeRPVSSmwOjs5aQAyTrDLoqU67z6Frz+ft+9ef/R9v/8E/zP89f/tN//pf/lP+F9/9cc//+m35+cIJXQcW2GtuKcWgEsFvf+TPpixLDKHFAl2cZS9KU4eK1lAJauRLWWnI7qUPQMbp0O0kfonY5PcG3xtFv2yT5DQXYmTvw1/Qnti3EhjGj9A0H1EyMFd4JMo6+T3OSe3drAVsIuwAqGinceqgDEKjZanr4M24F1WAi4tSEOq0lIIjtohbrtoLG93VzObVROtJIrJygheUexKADEYy+HOpWXeJMGuGKRIrCi5UYpIK/PQShmQM0Jwk7OIbZpFUYEGQ+c4VyI/DReqTXkAAwJoQ3q8vl6TETbQ4YXXRmRPkiQkgkNX49ruuTO2s045MJ3J6DWVR2E/HTNoyOjPvRGR4O5VTm8FrLRfBinXrifbDpOeVXwFEtze0wtYbPO9dETIdwYzyDbVNVE4pEzGS3vpN2SrHV1ei0Z4073MlphVW1MUNu2aAUWM6EOirLnxw4g0pVyJi4apF6TMmFywzwH0gYhOHc0rIwBCI96DoDb5tp/fENFpTdKdjF9mMAWTF2zLmLOw590bBPJumNiPoU39SqDznZozQodFZLG0omTuAA4it29JrV3bs++RKhEK3FeA3ilA+frV9pMBxevNfnuqC8d8Pf+sfvtv/tnza76/Dr7yp//8h28/vr9svZT7NGMK9UY+qEZ0P2/PU1HDZSHmYAZ6JdcoYzrjus9xQUxmZwYYjCokT1hq+rhEDTfUFDBDnKAINERD1XHV3PjXbJMkvDygF2KrmPBJPMGzjSjsyUydEWqKs0LN7VdWMfU85VrutodWAGJi8q6XgU08xmWC6MZE4JEWivtoVzwy+6PzLMq2a1HtAWYyRoYa3V7FRVW5oSY6EECDqHaxnEbzlz45wwrDUqwDpYrA2XZ6lm5Y5iwzypXlD/LukWNA6MUuohofqdQUe1GqIuq11EiG/Dy+2SDvJcFw36XQrgFHSu7tO+CyhiVlOMGw8ZAcEK4KzsDutU3mW3ZW6miBFhMqTqw3neW7qakrXVjwIyV8lQ8EMOWOt0NEpLsnmJPtODVbhOlGFZMV4N3/R6MY8cxC2NIKglQJAwqyyUUGwLZnQsxfl9s+6bWJkw+b61CmV0lAZRmTKFr5scHn5A3zWBBPAit49us1ySqp/ep5i4WBXb3nXY31MRgloBVK1Og5SnAPhFI7FgbIOOHFq5mIEacGEY3WUwTRHdUc0ZU3LpKAT3LBjYqpvoyOTh1idS5zAVV0tYuxC9beQLIwHM8okxsjvZmXXq+Xvr2f18f5+Jj349dLMl4jCRq8R6gzPCOvyMsWjqiXX8OXEFnnSR0vSOdg8nJWdXooA/KcvDfQEEY7q99svCwDQ10d3XLtsdKFymO0E5m5IfsVqcuZ10sruYpXKlFqpSxFPOe8Xj6nRzimnXbVLx1ZG+mCgVjCU/1Wb2/19t3b26++e75/+/L29PP29gV8e9DtalfXl+fp7UhjczbY5MlLpbxP2IavNjWZV6xXe6nuwE8Q69IAQGFchlZMbmQnRV2fNCEf7GAWgTZYM+ugTSUb107Wtjye2AQ8slBTAHV4RfGW52T3ttLD3Xc5GPyi1c01oFSVsKO1RFWhPXwdf7z4etf7z98+fsbrR/7hH7/+i//DP//zf/fHr/7K1xcXWMOhixVvtQuPgEBUMRjEctwA3DuSbOu8jZYNd9IG04OEdC6h0xhyRyjbfKoKcG/2g2thCqKZGiUry5WLRUQaG8Da2JaUoLebG4cMTRRPirhuqnpKurxRQavvAL3KHi6qG8snq7p4T+M3sFjdZKGi36zY1vAUUA+xgV85iSofqaqZflGRj2cxwQUD0L1D6ra/e43g5UjHXNSBxEZt9zWtENdniwcu4qmu+wP3CGd74/MynHb4lhATy9VU3eZ30yjTRzyBzzn2hvQwWsFEDGKdXr+A5lT2kukXd3AKtYLvXSA6YHx0LUpm7IZ2acmHHSrMYMqQVIwWdhfe8tKP5bpTZhgfUREgJWsfToppDko6/C+97U5F+GqbXZDkRofG384KK8S4eWF53FLu4gnYT2zcxoAXut//5uu0NlwKiQYkmm73MolR3OSIvDRQMKVMFQTI6k3oBBLA6eRnVDO8acK1fXJmYwH2DPYr0d0BKJZzJPI38q4ltj7bHJYUgDXteqpgouJdOSxz7tjoTwlepGLe8H6seC0M1jawGTOzgSYMKWKhTgbu5RaMDcIMRvsg+BCITYrKNsRy4Y3EPE9j8IbHv9Zv//UPP/ydPvr1/nN/+4O+/revr9fDD3e9ZYZ7uoIDVFexiKl+QCaPsA3AM/P+9cxYpziQ1F0WtcEG+IzZjDGaKWGz8q4w8Wd1IQzOtG1PlGITL++OgmGxohNmVFu1DGLXxnqsOs7oYqHHB5tSmKOZKEPZaVMe1FrbevuuTZ/ii2pxsu4em1biMQnpBrUFmb+cdvgeWbzhQdH1cHhabdaDAhG8+2nJdTMzXJEMsRjv0E2LWMgV3MZw1XLWZ65sIVtnw9waLk4IZciKQoOJRvU1sDMJtCJ9svUpWT1YaCBvZbaSOMGBLavQKGiGS9gVV4S2cu872m3u2pQ110TEDcBO9S3mY+eTUCa7eD51IWtBQ5XH1UFPfA8K6dXVWPqmuLktNlwdCazFqg0GzhZQOF4Ieqraz3BCXyhr9IQHWCunGpCgRhj29l0RX4A0XmUDgYcladm7qoJPNhUKoMfu5i/VhlZSoKVGZfXIJG81njEPmqbKz6z23CyiVajk0st2i/b0WxNTgp8aTqNFw7JG7ELCP0j4EF9kN1+K0WkU2D+LGlhgl0/EukYA03RvV5sTLsgpq3hW7p9iIzhrmVXr1pq1vdfePFQGvAiesElSOCRhdpbX0Ns5s3O8xihVSqZIZm+7geHGAXedo+iumq5XgcajkSOInszhYHbVhNQxxEmsYGSXNOCJKzMKLuCcJDHLFFgaFqWeAThm6UUDU6VVhoUtI3hm0xCCVw1k1UPzJJ289gh0lbK0J0YDMaHAZ0bKRJag/uNJtIrm7O674YBo6+WqBp3EwKyDn+d5DlXZp/mUBTU5kv1BvdnHPAeszvzxxpX7N6wVv2YIloNNZrou8exZNyvrDV6Wi4Jkei+UnJO5QHvMrhPbgqEtA65dLsSo1G+fhRvrmGEqqzi0iCJ3c0zpAo5kS2WejcDc11HiU4Kc+M9My9F7o1yTzYCCk4k2eJ3zej0/ftOXn/jD8+Xn/vG7P+e//b/+1X/+f/04/+ntDRyIXWFMiGLpgrXJ00m8cDOM2jpm79mAdKWZAbBkqVaVkwM/fX+koKwgMEHkVWz8MhnoweNMltESICi8kT0aoqiO2sS70MvBBJPNaDd3DRvR8eEsGLUADgBgAglllBJQIXAV80+mWrpZIJ6HnAWZEpFT2xS6NJOuMJEal9zd3LYWhtnuU9wg4q07weEDcuWMQSE5mXUPRmtZjLRBXsufs5F8/0Rve2Gz/Zn8vf1SPK7oWYOCk3FqnY6C0VG4m+4u2Hg29mAF3NzTB2t+i1UhnazlRS73FC98LgrIsQRo+a3t8tKTpLUhsAEby9Lgyk1Wxp8/Gg1u1d0yqfzwTBZJmQgTSyDAYd2PdT8uJmtoezfxYLvR2/1ua014bbtZKOH0ypHhBvnip3iFINBupnVB/JZOY70WHqyyPW0i883CiaxXMcvolGEFCz0UcFMcFYJ+E0ZW8IsEQJIxvOx3DVPXvDQ/ciVzHx19ielZmZ7NAtyKFwNhxDI5tbVk2v2t0ZtM3HeknR0cQT4ylxT7il+R28nOoBRbVAbtHXIZaHtDNQAvAJeOoD7FJEJnG0ZubReccKrOConHhNXtsCC/er7/y1/99t/+8PHr+f37T/Xz24+/e/30u/fasqTEfIaSYDm5EtzoJnb0dK5jz7vOx0QIn4/KoT1FYfFvoT59mMx7LcSJGUMv7+tKgCMUz94RO0a78hJywLjyEArZO459ZrDPNtrI2yyUVlBNwyhXMQA/iaoiwTY6D8ECvYgRfYSN/OGsWiRSv8VEyPzqGz6PidM54rTNGwikz4jZihXyfIF0nGzDiYxoSYzIuWpf0kLtc1eVXxg/QFnRxzmvcAFODinANunkNdkLQxpwLWF9ebEpaoiQKXssRRy7/tAKn66sLxTVhWy/I2im27s0lu2qC3ICUhZGFZCuf31uHTg36AbNDnvsKcI+qae25IEIlQ3xyQlkgv15u58FRLiOqoy7jhE/y+cMU5+JEMlgu/pz22rSHuJuvdklygSKpWxtGrYYrQntcKRhER0ackmGdaOF78wM5U1GvZaP2JbRSXFLCPoFSbZH3k1nKFUmxQLIk9ZlpVRDVNeukJCsOD9mNCPR7jM8V/AU/MTS5xrbHHA6FtpmBDvZqWLDbKihWqr2HrCrgLuEzJMXAduQf1IiYMkpldwEa6LoL8XviId6a5roQjNLBasMgsLzkKzlzoEUMwGV1kqoRlWOWkE1UkK4KNXIEI/wLn8I3156H78+5pvm9fLr8Jz1go4emfAjAYJVn2EsqcqTQ46FcrlW9KmR+ogYaDRhFdaGLwznPgzjmUPOi4YnKHbLZSf1lgKtE9RLItwaesoug8Okg9TIYx63hBmnK7JglkNCgAWJWdmhckumWcWnKnjn0/2l+aC68IV8e7qL39XT9VbNKicpJBsuAPBzqSk/5z9Wcj8BjHEqjhjv8Z6gZ+1rk6Yoy1z2kR9szYD4TJgSU/LZyJicjGHSVwY08lm6nVb8kkROZnEyiG8jcUGyVfUxbCOMAiuj3JaH7Wzjjy+g5RVlTNU0hJE/3ufnj/PtXV/f57zPH779tz/517/5l//Hv8DbT1VfOj4yK0vkDbe6TLCVUHFP7nrUm7XJzncjKu/7A+5UkKq+jSyrV4GRg8ZRtXDphg51tj9mLqsEA+pEkPxyCRKsTDKRsCtmFswnJ8Zgw8nTLIKgn1A7Zl8UFrZKCNalPfjUrhS2KjT5wLQbeCBSD6c5D9FEs6rDb67n2YVudKEwVcXsJ06qGgSUZ4wFaIH0asiejCpvfXgqx8eC1WnfsApgMm2BOrD+jjbX35dwYt86HuzRdbQBbtba08t1tKVI6b0DH8gGn53m4NqmLaDtABWh1GYu704vX/ePicRmLMEqJqQHjsFCk7buk78JFQYy5jheYeVaGJynaVEMeLji0qwPuEo/Er6+n/XgfsLekZAlH9BzMen91aRPBPYh9NLP5vRnVVPqXYsnoJ/a+RuMDQ8L9ZXiUxlEvhKsUVgKguNzp0o8m/JeESjUeu2wg00OJOzOOTEVigkB0M7dF5MnGjhaEiS67P3LaU/B/a6Bv7gjua/83wCrOFlsmepnxuuJzV+MOJ3IfUvGGDuRQ8gp1yvPvq16vDzZ/Yc9l0NegUskpbfDbg1fyXqZjK8FBWDIbHnobBBdzCU1IbBB++2JlvXtnHf+mf/q3/zxr/+7X33V7+udX396/fzffn4d2ieK69wpgHjYjaqVk3d1rv0+iR+cY73OFvyFwd2xCUfWN6wHnvUq2xIaUQ9buOR72urFziMVw8JErA3O4SW/vINQGts9qNprtrDLVm+qDtOVddmuoZLyCSLsgbebx83bsQ2/ounPyIht3y7glanRYuEeOrou234y49Y63nMgalGIHI11n13S1/FUIMNLY/e1hDwwwF7t01WUWBH+a6WDoIGGu+oo5rxdKrdo7UJNsMCGZ3IStYHyybP0ywFJ7Josa0Of1+a36KYsy8+68RnHssynIEBszNyzLuHDebVqNXRjVHlU1eIM1x8JS514BiBj4QNEzkgGPICjxYrYOqmRCAiBduQl4ex2/U8W3CRWeuexi6vgWh65Gm/7rQwWlTGk6jLgypApnFw/q13CUO4y5BmaTWmAB5BZsRoCPuTbhCpZIZG3TeuI3Ql2QMrKpgt2Kwq/xpS70e5Z8pdQPZjE/USMZCo7D7RO4Ltqghw5ARuRWLoUOB08lhfYO8KXvDhhY2JTkBddXiJxePNWBD6gw+czYIyLJmvNQ3nLuTRQsZVAAdZbssajssOWT6dxTF6B2fFVkaoAtCG1J9TgotJBFVGy/HKh58aR2GAZWWVJVQBHWnj8SoxoQvnydfIZzA2YgJlfaoAv15MlSemB5ZFHdNVIPZikJiLrmwMmVyU4kx097Zo8t5qk1LkL1kk8kb3qRycmSZP+NcdIwWOZkEgJOfj5jLM1djtFCe/2AxzN81YrpoNWPPeopiZAYFUbbw2iJum9ExzR1gZ032bDdgmGyw3MYsQP6nCBZaUoOchN3Y5ls9UBwDVCA/QcVWMNEdumxRNe8TRvRIrAjt1sZs/gPhgX6xgdk+tqiERXFMbsCKUZ52zmrjyLFfTh8J7AGVrFpBLonK5W42S+aH74/cf5qPN8P/WuP/n186///d/+l//3f6z/7YcpcMx+FkOG1xoZVCOxgwauaGpWyb0df9imS6ZwgSvkKE8PWxGe3PYBiTV0TPhFYxJmkUcmFStsyAoiQmAxaVVZgRm0Nn2e6nNKEIKMyRsPZTplNZL9GOZWDUIJHXij6y6x9bYrYxdjWwiEAeTI5Sc+w6pVvnRkRAD4LDEaF0Wgo+QBZCpMPwaFXNXFUgsx6lrBVDOXkEi6RIDShei8B1stFufoyMMrbDtdiHyVk5N1gMLuFAW2fOxJETivgho54uoo0leYQbxFl5yDHZ/XKSaAHQTLwu6XAnrDntJqMKt6tYixwYXW8w02ESh4S3QegfounqxMnNrhkERhY2RCNZAEn/1ul5+qPLGAkZULQcmw62h7RwHD2RhKVac5k9QpBCSbibiQnDxbuAMQ0kHHkAeQTHuB7eiuDVkrPTseZy0vVnEWUds9BbE44CeiCZCc62/P612f/z5AfgQBbDAmWXl3aJQZNYpJbzdu5hy8fLCvsDafwdGCep8j2wwIGBjps+VCIrYy1tQlHfZuOX1JlEf+LJrYP+Ysx8q0hnatB9nb3EKTWLNIDqPy2H0eDBa/4DfQet6et8GXX/X3f/P88b/91fTHfDv+iT//7sef//Dtme+ihukqs6XkerGrd+U7zcLzLGoBQB8+Hwfyje0ARZmzQVFK65QRr9pRgpSG4tgWPPzUhjL6h6VrDFQZteHU+zQHq1q81kDmm1SviCDTqHIbvdxHVKpJZEu0OHTDYPzXl3IJsiYE9vYO9BtAjXyvW6824S00HmLXyTt2M9e5e5SiymeBa1dK47o9d6CDPCT7FddA6OSIYrliE71P/CrBoxjPhGGWh4zIJgLC+/e0xBRDykTNtbN0HqPZCs9PUw9EB05HT6KuoqojfFjVc/X+OfoikkSpMF0ARMNgrxkq3/Heoi3HE0Rp/3OHFsiEj+JGc5kuv7jUTKhOJwqJF4SOtEQer6mJSPqlwYfFTZICr/s5KEJp5YVA0c2x+3UgyxHu0TDmLA6ykcqgbU/oDPsGvVos9MmaMaiYYwnP6m1+6TKJat/oA1oJSG+DQiPJXs3wU4WGqSc/grm0yv9EmrfXqoRsmqXHgzKrx+jCoQZlPpyUXPoDYlfKC/CFng2/mqUdJ/a2JTfv3XyCkUQpViz0DaoOGcKw2RnhHHN+cv2i+bA8UfiQrNUCAIyLbllFku3qqgdvrKqqrqdiIeqw6J1X1vs2GXz5ZFo7xwbG0NguTB4MnlPnZX1Qp0bPDD18DUd9JB/4eIYGVb2rWr0Tvg2PJJzBkCPFcvpasbnBf7Jd505Y25xeqQ8XYY1f0EqU7/50wR28X2l5MS94ZEMjydBAHskzniwggUc6cTsIM+PxizO2zAPG9oFClR7grVkVdykAVLsfNtUYt+z8aQyAvVfIpVs9SDqCchwaGUOQYHDf3i0IfChDs7Q/NHnjKrZgNXIwFGyIGGIr3SIafOSIU1apkAAp33zAVDVTkwmxgnHq8/E6kxfQdHI2EDWNISUU1z7wy5zEE3bmMAEevL/G387Xj/efX9/ev83HT/2Hrz/95b/9zZ/+j+7z5ik8ZqMfNCup7dzcc65xklrJNsVUeIa/zP9ds2EmRhYhfTa3SY7IH2J+bFWqPDLKhsYLOYebtJibBHJj3UVvcYW8k9gyJPbtSG57tIaESaeZ9sw5D3KYDDcPg9uoU7oCN5HaIyaGBCyHreVKDWACWgIqV0Rtvif0xV1TbAjs7sCr9HAFbQCJIGa7XnlBLoKsZ6fBK5PoQgyTVGyZCc/TDj5rtXLBnwdkhMnWgEbO7jVfQpF1YMdb6fNLLkYE8iqAMvx5h/4dka6ECf6njckV+W4rC4ag3T+4EKTW6xhUQLVburh/L4I7d1cR1QzqaKuaFYAjGuZJwxnlj+w41xBhGHY0uDvYgLd8MRq93V1qWKoHLFUEEhUJ0H4+a/9zMcCub9ApF2kHEQcbkQlncSQpnhRuNEZOjqNYdB3b7R2Z8vAve55HglEUwhGfYAUSme5uNIy3L29ojcMr/hSAXh/wxkc5byP24YszWFfhVC4yZrfQcNxRlvs/W/eZc+CO+p+rFFYcQvqzFV2TTd5p0qRr14ZwDO1nNeAnOmQgt53X+h79S4VPNUU8rMf9BmG6TJafP3t++3c/fPntyAfvXz5+r3/8h2/vHzNuYiqogiYxm90drW4cPbBOBhmjpG+aczhnfX0jOdel4nd8lt0HrCnlLeN60lc1d/0m9MnVUPyaJUQg7wXw4TvuXYK0uvJRqNp5lnGKK/c/KgnBbgjHNjoTYofJWaA9yLA/9XBjrcVT3tFhZ/u0O6HTvHqsSHd5R/CAQDCocA0sVnYdNa+U4hIT2Wh5icSAFbqRAqEnMpYnP4WicVnAygmz6vpZ71CyZFOnOGXcE9za8uKsxc0wv++1L/lYKbjVcfyYnt4jV4sHNBT0iqYLnWlBK31UusWICmbRoYioz0RhBILi3Dcg7SMi+uOQNzc8GZMbEg8QMxnfUS50fEgnxFCLSeFJHQ1JlLgmX1Aht3yHuMWkI9SjzMP9NgtXVL4yDLzOOcdzfObGQNoSXuaYHkTjZSfQzfflX7hlSdMMuplcCi0+dpvdWMc1UYUuVj8pJVVZkymQfAsSpC6Z+0xGDhIwsJxXDzn7AvbJojAfsj3gx5HgA4zP2Cl6hjpJiuaFlCQ66nkFr/db7dtbIX0juyQ70BHropWdKLcnjmgzw0Fyf7LZIMFD+VX+/H++6Kk3X2Ij/QrRCUXKF02FCLCLmFpctA+erBTRsc6ZA8lnNK95HZ+Dj+P3Od90Xi+/Cx/OaH8gHWEGUsnU2CqNZUs6njFf4xHUSCI9BB0GlrTIW9Cc3R03ea7CbIRW3IwAiOV0opLVeatG2RupAceE1I5WXZ8YXYWFYVLwD4Q9l7W9cyCUIT/OmZO9KEsPdrULvaYNeJFfFBr1ts5sIIdvsFmGfMdUeLe0pAPY0SaG3ZO8L2yFjiAOzNV+Z7zeioYEPtiTAGJAXCvwvuE1A1MDDoiJsUJp2/Ie5PrbJxIfY3E+O9uesRw6kjcrZ6D1lQqCzBKqBppxuswx3Lb1Ys54Ts3xT18/zlfrHefbnB9ef/73f/ZHf/JDlUVWRTPRWMHt9vsBqqh9VCO3QOLFazt/dgptpUUMTEHcMNVFhTZsMp1Z7fi4qMpKOoxyWDD21pfsxdLqoJFePRjQtq+IsjmPKmZniWhmOuIP1d4eXsQGdNZXplBTUqXkB7JDmS3WsewSoCvcvYh1TAq0IuMO2a5sFksRzkuyxYAquGLHNZtVgU7iZGQiHMyrXmVoxebqiDbmzdeHSxiTrdgEbA0xlCklVj/PWkx+gfJD7QV4hRaJ6brgmpOn7ItYRSOZ1yYtXuTucKb9X+Re9+jdUz9zg0XZExEpGO45AVauDAHpPu6qvnDadfHOnElI8w3bmxvlQlikpdVDPeV0NSPYR92XZN0z6QeUS14V2Do9gpZTsKo39FuzfgUsMLsVJsLTvauVCRtAAN/q+zkD/k4qEjf4IPURUOA0Yuefo10YpYzO22vHoJHkU20KeH573KChraMc0t4BAzoDdHVA0yjTb6BYotpcn/0JgTbqJG/ntmsaVBUqEqbarEGD+Zy5JYTTiOXahM1JLSih7Cvdh+/U28wOwF/Ao+xse+qpnf1X+6YyKVSzi3kHnJhRFsyHG+BRz4Oy8fzQf/yvv//jf/mrj7c5X0/9jJ9/Pz///oWpriTnxXxLZpVMEY22ygM+rKcSr0+dGbzEycwvDrmxPSjwFVuLti4vEeqtYKJgjc0dIjNuW/jUXGWKc+WDaH9wEqbTQmX3WHwTgeHKSnntungHwF4E/gY/bQOuCGWeqPIXcqFpDrgxhVHlmg7c8fn6pgERep09iEsJYek39hsPs24x3b4+eR0oW47Z+2KnWjmivtIUBouo2DouoczhAAPN4zgktmEv1y+kYQKgqmV+5ntVghoiAQykbrJCZxJOWtRFMvJ7J5WoppqeHG+8svMylhEsYha/AYxsQ0zalVRJeWxXzqFe7VyOg1KVk6EaCH53FnVVP49ZU5dq4sJA3M7d5az8C5Owc1uvt5CWBHoSDUvgaT2IlAeMSzLJG9hEORXIAEh5qQYzGOMV8cAuAsxrb+Ufc6cxjmgbjCsxiKMwg4UlmOGcOaxW6RoPWAatavQbnsdVTtxcNT7B1Q2YDd7tB6wnM16o5KoqPF3VVZ0wNmw2kqjBAMd+fcw5M4fzEuZ4auQDHoJOAwNe8gecMG6lInGCWxcfJJYp37HIQ4lg87k0H3jzXCq7XSBFfhACvUuuxGiZmWMcmgojaLl+LtKY3ZxBOvmU6yGLFVEtQDTGycPqmRBjA7nKSmRMjdqy5BnocI5fPprRK2u2KgV5uk+ytg/OQKoZ7Mbn4AMgXmO3mYVAShZR3GuJwEuXZk7tEMgzs8GMBR/OKDtUZYxkvxzDWHqdAHbQsNNNsEOdD5IWCKbrn8KLW3oGGqNI6+QQkzWeo3mZONDRfjK5owa3gTTCLKpoPi0AyEkcUZGX2kDbu8Sk2Fk3NRyFAcjnzHRjW2MghomtZwCAsnLf8phtQxoQ4sIuoVM9hpVsMqPsR7Zw5dT5xq4X0QvjHK23Jo3TcGVPBKqsDeODoSrZL9Nwfv6j8YuCPNQBR8MBz4d+/DZfX/7914+ff3qdj28/vv7Ln/3dr3/4N7/xd/YU/NYFfTnb9t8WNto7bj6nOjDusoGubKxxGucVpQgEwg0igRbpGftTUBIrcZmAVkePrQqZ0p4IYFCo6DiW4d0pBV160uiQxNw+mYWnugrqwHaYfuunWXLV81TQWFdF8OJtCqA9L+ripPs5QdXKTGCbQ4JZrYH9jslfTWRdSmUKAN1gbebdFJ90pHURiVCgXUSv4GH5luDFRCIp6oLr991Y8n8F0eSI2dailQmS4bK37Qg6aYm7oOiKDWyTR/sP1EqII2RBOvJM+9GEsLgYZ54O7zhQK2ll4EevFivomRd9mgX2StInZxCZzL4E2hneK89CgkgTX9r1ia7IO5em65cR82QYMUrZSE4yT1gz3EzUFyuMyifOD10j9s5qN8xyp6HdEYltXTJxrnF2w1pq7w4BJSM3h+8ek3u1UE1CZHXwNWziFS7XADIeovBQqFgcg66HrNK+WP7UDrgS8WeKiDR6e7+A24gYKI/PbAgdyALGZZabc7EqkdHyBw5FBF4ZepByJ0BSOKWgo5fFCyqOq/Zbodhq9WKXKGD5mPQbGaUdq1b+bCDnITV+yS8sF8cF5oxvfDf0HLg1pT78l/Unf/enX/68MOeI/+3n9//6Dz++PmTxdMZXP2nGqurt06/fxlO5ooVuch69CD2ehoCcUAaq8m1DgoPh7oHokkwIc1yv8mENQlkk8v/O3SSrGt00SxwnhyoeMJuT5xD1dMUK2XcnNz51Ag/chS5GJKkNcyQ7McJAsRosuzZLCqthWg/8Dp7L8aDX1/apl6dZigID5pNVYgH8n4rUKc2L20MHmAkITbDcmGOgPGGzPKyBX/KuV+MVXj1ZNlmByDc7c7O8rBW63/Ct0GBO7EyMeZMTmPbsc0Qm4dFYp47YT9ze6SVATeW/B1nK5+68y0E8lM1omH/CQQuoVmVYA4BqklCX2+wkuubTRczrlbZLYQ+pOXPmdatd12LOJvHWGzehNtr1tk4ZV7/aQ0/DlDq1h67SREyVXxQHGHTvrT7fQ3vRqdXihCipklttZPPsZlFF4SA0ZBwigmNZGNQ4zAnWTwWWHVDIZbB6Ozu6OrJEfyG6nt51sdhcTPLBFYgRmQgyb1fhrau6H+Ihv+vuhw/6bfAMmvS093lKDC+C0wpj85hzZLCtMtgPDDg+0HC3pDHWwNrwGe8VZdWydsnxMQHNIDisavioyMx0RBoalJmNPXMMvZYmQXIltlYHfOBFOLEKNqAQyoFqpXiyWJUshuJAaLNcs94PTraelhrEZ1ZuuA3QZfWAdEfqowUcospgzj0Lh3y9EFhOANhZbe9ibj7QbNpjiXIvH5eTF1XsQgL+beCRu0bZilZh8QXao2H03Z1eQ1c4sPlvRmFd2pHABlHh9gJuCIrHPSehZc1D4QgEZqBBVw3IacBnLJNP1kSTcqErXXYyjX5xEalMT7UQZ5tlzi7+8Q7We7OBrIPIVUcWTCCKAG1SX4C5T+f+sAwXszkje843Nsx1Pttjw3yGoOYR8Gxswm2GP90D+Y0CNMZk0ZoWB0SSeeYEAeSo2l8KCRt4PAVZ7/5APcP5Ot9+8vuP+Pp1vp2P37z95m//739Sf3F8Xl9Owz1l9RT0CRQF4WdWw3JjG+hbdsrcyNsdUaqqC1HZ53hPGkA34yJlcbNozUSXX8FDNNeILjQ9HB90dQI8vq96azyPvxQ7KEHVU3qYaL/b98NdRboL+dUEqlifuzXdxYn1kL0yTiRcxQAdvC+P4XZDS5VjkdvVt+7UJwMPHE17EUR1ijgYG3Nk/PtVdweuQLBIpfNf+pveMzJAT9lcf6eBSNmj7F0NSPKws+MXkxk8PJUB+Yn9LbgKHV/uCeSexQFqehf2mOTnpgUznUHOwLwICFu5yFK6Um5S3nINZRbLK4gMDSSlpQjmy3SN3FjrC7T5F1HCSnoiJtodJ2BxgnMSv2isc81zadZTijHcmU0WoVVAsoilciOB9Pq4upoYVYD1pq9AO7IL0kZVjOM72oQ3gOPG2KieTEW/LDkOkLKjwU5tiw4IK1CyO0MN8ss3ruBiJenV0m8uRP6Z1/3Lr8xnv3hebgUWuFsN2SdysZaA6sg7jAf8VIIEs6+L4aZ/zW+6WoeuRrWzuHWIZX4Cs4UtSe9pRN2xJRw7xZpVobkKKTQh8Up+Ggz1ahXYbJikebpIeFDPY77Z7JpivdUfP7/+2199+SscvePF+cm//69fv/708pQplD7dWY1QdV2sdnWMcXTTRU249iFmZGkKV16tEyAnKpBUeibRAipMgAQJQwUIn0CByz2xWB7I4guOlDM3NKh5fs+kOyRi80d0Fug4wl1jD2ryyBFK5hVQ2NFmFynsM2I8i2Ew08tq7pYM38MjUrFsVcx4HNodOc4BDHr5O7ENNCfbD7gsEZbiyJu+9RKQoiNYOVAgoDKEwuCaYtaymaadpnHKSqtBK2sYBvs+zKegLRkKSQnmVuRPBNlL2JWdPWAR/ldiT1Fl2IwfKolcvaW1SZzKscAudvDLBeuzyqVD9Xa0FbDirQKEQtWnLk/37YPR7C6y7U5W13poFhkO+3XRAEJVLEvt1jabKZMM6kqqJHiiDtsYm7toJ/bndWhQIGe58ox4SZPX5M6HCbhqH2VHcYHs9cTEGi+l3d8nHTJ5bnmFGVFuSleG0up+o5/mG/lWK/2rchXfnn4rNtFv6MLbl3oKTzULTVW5miL6hg7mlwCAHynvKjCcgU/p7MEg4Byflb7qsyyPsr+QknEolSvfwpeYWzcIc4EqZzOyZ0lWzGcF7QvKcAqwIYfawAoeJJa3fKbG9RVxRecqoIucJM2MAp5QbF2V5uJfJoCBxxHRFCNv0WcMBZBdVdcVSHgkvDwS3Jbm8BwPfKwzHvOc3R0Sjoud3VKOzadZlajjBSoNRH8F1zXvZViIYVE5aARoFyajtpvHPxH2MvEiZPF5+LzxeetiJ3cpIOFncTqAhZnPLE2AxlS2C8/I54iSZBwfAK4noFbDpopVdVuiPJQA3mBDN+Z2V8uIKiB4cMbmvJzBvMJ+MvqPAeBRKlt57JGJ2dHZuG462w9GYNxzk60Ew934NKGwKKtkTQufc5EZkyqreaUEzO7YVZvAxBG556GXRUg6fwCXjT6qjTPL6kdKJFqHr5/1eue39/nDj99+/Pj5t//G//Lf/Znfthy/WU9izRKj/kwokgyQNxTJGd71C95IQEGqqtVUN57CE+Q+YQBp9TMmJsu1tt+rfWhUWbhBPsRbr1uioKL62h2r1pzVVsNP863x1njL4oB0TpWpO5cpLWqS2NN/RPSoTfbHKhL7/j6TfFg2Vcqv9R7pcjbKJ9hL3HqdxsbJY2WsWjtN8BJ8edJVdIxv+dZjAqvI7naqp0mGloO264eddZHkjn1O99xwjWp9icKNC6hLlxRSuyx4swhxSxlEzNjO4zbKfjQRcdFlOxcWns4kD8NmAyldu4UhTcXCTo6V2ZXEeu4ZHUDUhY3O9vJagUKXROEdwmtRfHi2szeJZ6ULi2IapCeccpr7Jh7zlqu0vTaykaO0XXmkD1uo8qw4HbnGocaDTAfJW+NHmA2sigaKMZ2GF6fkTph39gC44WbZTr/jyWcTjlXj1GYpMTd6XbGp1MpYda16WmA/x/H26Xs39wG/Tf+tzvupFh0FNCsEh/i4sXRWGvU9+e6Th/X0efXgtYKxxVo3jrJmsX1FxrlynrSgIRLDnoBWSFkQsxSqGWI0AMzOe43FEwlvSj/8BhTqcZE85Lzh+z/78sNf/grfCR/6+Flff5wff/96veRn9V/Mhq8J6Pogq+Tus8jmYvrusccDQ8ewNwHCC37gc3Gj4fEmiW8lX53GXPJom4fofBz1FbgeStLEFJEIwH3KHzabXWxyIDEDszbiwdxheGXvaQ82Fo7MjjAznweFLhWgu2/ggmw5DCfE8bp8I5NbW/KbL/cVF0GHnwtCQ0CMV9XMQFhkIgMQohvl+DANCOvCd47eBQmwFFBKBVgLqTBuPdxHggzdveGfFiZDgiSzypwMMxkst27ZWGHqwPEPEqz08SS8+SCBeb1bg/L2TmDiZU+11FCOC91nsNbwD4chDTkZPjcpCExI/76SwMKAy8iWBU5ZtbEQ200yL9snsNsmExruu2s9YW0Xr0UwpboT1EoI7ysf2xUxsPAaH0HmdlFK8Ve2OhzrZHT4RSNhX2Of6GIfesf68MA2p1h4NvwBMLr8RpD1pbs5lbO8+634fZNZqvWgiCo+8RtWsd3cV6W402YO0/D7+/yRB9JYYpYUhygaW8ejyJfymMiAd20qJ6azuY7K9JSC9rrGFrLd/AqvM8ruHLcFXgg5NRQqpr5y0Ukz452kc5dY65JPH1iFam8e6OiAOAAnB39OzEqQ4aqkEK1B9n4AJId0yx34bznpSKXdka5JqQZSaekdTUwKwn0RF4+69UDs87xlY0hv3DbY7gtGqWrRiOCUkZXJFXHTjvBcsySpukP55o7nedQvqG4A3efNT7lzhsphGvaQK+BE+CNZG1NLJe7dzAPscJfeteasHjtLMZpAm71jGWS+rr3RBmrItM2FiQJo52HsRra76QZv9yBLp8OxcLDw1ihxPdkvgV0j3RODZLqUnKYjnoiAky89tidtUSyaGWmMo9hFSBqd9SqWYI/bFPspn1nYFDwHzUcqrnU6lhGvSHNwIPv4pY8BUB/vfv/x9e0r3n8/X393fv+b//1v/8O/+KN/8Uff9O4rT4k38GG33tJoVBVrNEJAgjJqonvz7eWgKQITpnftHB0abmGdnKafFdsdtTC5nCjJbDbdH7t5Fmkm2mtRSWePXohz01JjK+qlfmI3lffgfMCim+WK8lIb8HYTJ0jc3mCzIaJnCm8euuPTUacZVg71pERtTxPCHBhqoFhQAs6SYJO1lSLNh01EF3Kt98kIQYQL7X7Sl9r5q9t+OC9DKhVCtMwBWOlETFiavPcybkxUNk+klwgwfgBjRURxl9S2oRnmLe8qN+2K3pwtewTAUrJ0FmDKgHOlHbVQ12qNV8Ncq/jAtjC0Uaw9UhOoE8SZXFVrJW008QwiIkGD6axLKCK1L31R+NmMXu7yzqFaFAaMQCNpABNp9F5lsmpngs92XItqp2OgMYmbBSElWQQ7IisNvv3LcrfaYWY7m0javLg9EiyHUPWrFQmfolnKqXAXUG97cIdAXpohaY/7tKczvw0KskYpBbh6Ib1OM5dAE8f1nzlNm7W3gpc8X6s1MMLbZEYLqB4q5ubGK5rR/fO43VSwnYCzq+/S9uUZf3IO5RGCQoZZKChZYf10yEU82d3Lrqp2/9q/+ovvv/vNM+d8zJx3fv3H17c/TNyOpDpn55jFEcrz8Mn+PiQI1Ij4zjZVGPp4TlJJOBIxmXavvS8Cba10aSjYMdvtTs7UiuZChItMoUqFKjyEC2itmYJEJ1xkRYdmVV73nSGxxpqgwG0QboKRMWQORM0Sp4rg4f572e1d96HtAxDsotbjbqyKB1VUZezNWm2D6K47MaVfAiLWAa8SyoYdJcPO1uX7ii5mmmUcSynyKLlZ3v6VlD3kKuvDPQHKtWCl4UfleqMWF8+cmPSdVzDNbZ9zZAd+wcVK9oqyd9VOmTUuhNOhs6ps2TLcSHGiiqIZuQyd7ODCSvgrGVNtoqrl2DqgYj0FVveDt252aOjQosXO51o1XzXX1nt59+3hl9dINQbxqWvfplgXzkAiOGlswn0eggRxOIdEACXiIbXGz8V2SFslsvg5zsJZ0JDTsW4VyL032u00ZaoqVrcTkdlFVoLYVTFzFAh3G8+O38nSrE8VZRXNrhUDV1RWt7MkaGkmbBxdlDja+xnKQ7ciHo3zRiL46znWsRQGAKs3MEW39ojHWUu278hW0CrKh4YT0Wihyp9wU3UcSuSjdrS+1xdhwdXt6l1dhhwadBjOWI+rsEMXtkkCTqCJhxGRhIIBA1h7/xyxKKIX1DEfVRbVRQA8E0U+C+Xhwttc1if1Icjuw+qup8ne1698imKUrATRINrXCRj1lF1cZGwhp2z9E9hEW6So+CcBZoFs6C8W2Cigu56uJ7JMV9bJBWpiPfoMV4CwAZcazzmUfSaLqWYy0dpjZMmCPI4eByUUtl7WNonQlVfKlrtcgBLAnoUxmY7FhnwUdjaEx5WAmfSNlElRC/6R9rAWYVqjqSHWTJqsDGCKMiMaA1s8tsnxii6DKOQAjj8Xp5gt9Ima2MprJs09bqDE3ExN6AsLMsR5kTP8GL/D5o9nfvzpdd7r9fvXf/n6D7/92z/5V3//V+c5o3nzlwKfCgozWZ9Yjo26vAbwzGtcXKtwS38hS9GSaUCaFaSH2LyHcRomghFN3poWrD6Ki9sO+45PSLcXlGN2NEjKQHqeYPQCYt/CdX2SQRQic4t/vAQmqiCeT7PxpARhg40Ha5pkNv8uailmT0uhH04yTu+qmHJvw5oK0ECDpDMhqK5dazW6JOIr8xWXpZZdVlLQOPkMB9mbSCP2WsD2eBMGbUhJlre8q1OcKGu0EnsFJeEvS2jcPtrhQHeB3xJH6Wx9z5uu5P3U56HL7UoDCEcVwz3aV7e2R4+WJVguMZZ3zGq90lTkbF7UDTn3/anZNVyfeTMR8WB32Af9Thk19hIlYGDF2pGpCnT01AWag4U2gWcfv8/gBl7D9oLqo8DaOT55Mf4CEtAlgtTnxuFMqmEOGEJUxlqAg6fJmW6qFqTHYukUUaubZwioh2D2LIUEz9lboZZcprr3Kq5JpYOuBCDiAvYIiZYwU1zCgBDrFm/diayAyLN8n4D9PMVPiRGABIKRWdPEQMY5jhdCwf5lVwRClQ1PqKQDmxWl7iUTosbypZkwaXh23IlhKjLD8gPxscvfsX7b3/3l9/yhj+kX39/Pt6+vcxa328SGbbOV0B2ifGgk8x9VwLOV1zN66Qzow2gB9lKtvw+4fRd4TqbjXYsDZL3DbgsN74jYeXiaRSp23TV3bfdsunn2H+KmFmNHVYrb5+S5V/RutFsnUbPaiUghgpQ8aZ4R4Bt7p8NjMGdHBVWNwaOE9ZNHaphkbqIWZUMWIba3/QvPtM/8ghc5tbG9Be2sM4rlPeW7utzGWFI6a3ofKHrzjSJtK2RkZjxytroqVvfOuRprLVl5PABWb/HAReLunLrCCgK2nDQlEVH8za4IsrMoZKl8T+JQh2hbM9mhFUxwKZcqVFR6EWym67v0D8kSGo0JNFoGWaYYcQS4tpCI9idO9do3gtuhlT/v/wqQo5NYQ3cIZVjlkcS2QblCFk0JSV2J/sjQIbltmwquWV8pjMbJ13eA8GNv0ABXHpT7ziUulJeDsKNu2FEGXeRCV3680jNWF/rBQ6EKZUd+RmvDsLZkA7v75yojps/Z1CSZlHXG6yxdP16OA1gRox8F9P7cBLqtMlAJ6x/Q7krPiMumylv9SUkDWLWJP6FYBqvdqV8GcgPd7De3AIwn4BKq+WiqwLe8sf0kIZVp2w7tGZ1BdYYYLi1saVzWBsXxFzynYqJaoGQ/VJCq2ue+wCrlvUdfwp7g2mYmJK0DpKWVSraCjU3PpNAtJN0yTr4wb4ZlFUVVh6/NlbM5+ynpyrDV6aLXiokasCOlKxEohu00VzdSVcgeOXMkzxKsgnTmZjGChieBGsJYrxOMCyP0kjFBMtRsg06xn1psyUD1MMUhK65hbj6KoUlCu8ulcwK4dlhHe8+piefInCL05BkajIuDq8iCYYCzsGXyhezo7FJTNXVsqmFQPaj0rtPbiT1dcRkT9EOoSRrOCh7vzvhlWwLGwx2YWfKAJw/Qsf3YpYMC/e28vp75pm/vmN9j6ttf/4+//eHvenjoL+QX4eydbTPZtrtGuY7aMNHx+Rk3Znq7CQ+4oqM9IhYFckWLmYxHrZgRdQcEl7dfuZIFj+u4wsa8pAOeAHPwjMcCOfAAEkcGSqwzCed2zNZ7Kgm2Js01aFiel3wsyT6eF8SmNyJbghhyKNs6JKTDLsA6GGHikQmQgjoTDJ2mBzcfP5JNfobPJqZ1w3w27tQGckSsfh1kqTcLgwnFLLlxNxO4jDxIC86HzsDQ+e2DjDFRb5RjwSW2V5wSdYwQNUr3rhhXeOtLIGADlV+QaX/zUQufa2AQuIpMC7iZgUG2V0kW1WEOg74VNTCdGXHl/lg6e8yXDeDnqQ7SWmkfauVaXusNDJZMNtGLf1bkN5Fg5ICB02em01Sld+W2cCFsnIePSL8UQCQAe9KECMdZlZ9YYfqCNxbxoJimE1jRHDW320dtQqLzI6LoaJaT6onFAZPXsf+wQ4HZTV+FRAFnAkim/bPGiafIXBFdF0OiJbsrvXckrh3wgt6go3srkfwxQonRjsrqk4hiIKdz+3Mvv5AKxNhCuQO0b9AlhOv9G26bH4UJK90tjc9ksPgudi9otgptrpDqgeah+PD5I37/V9+9/dmjLypjpr79/P7jj++Uswx07zmA6tD31eGsk62SLbmEYE1JHkc1PO4JPIPHwA0pAPlG7GXGvk2CKVdA19CGvDLwBor63PCSK1RGP1hhJ8rtpTLDbi5im/MWKzO5MMOipiwS4VJroZn03xF/cFPjwKS5GXA9+/wH0Bkrmt3dIsAMEssGhIDoVX0SvXn29Sk5+wV31Nk2cNki46qTgRNxXyDAGRuT5OR08xLYdxd5WD/l1NktFeM8EaQ5JJs7sl3qBMLugl3ubifPiBSMoHwhrQOjJ6IbyDFqsONRolgdYnvTnKPaCe8FSuuxr62J21pEmJjDS9gmsR4y3FKO72LXukcCa2wARfo1PpHCuJrZRbkkYH+KIGElMEpERQW5pIq52Rskt4VdkgaRYmiA0r3bLutOltzGR1G4ZawqAzWQqBVVsogRU4tNlEAUJxElCkLNbnZ1h6uFnUkDRD1g1MJjHxrVe79X5oK6cXM5pWUEJXzS/9mvg83qS4Jx0th5czXNELkrf6VyXN0QVwNGYrrLGHTibRhupLCrsYHUbSUUEr0asyCM80tUJigZPSRU1QkygRkYsVtPvz3NsustFqbirjqsh827A6Cqi7v77npTMwOtYzt8sI3yA36OG58+WYb5rohwJKzl0issc+bzFYNk1NnUQMVok8ueMIJ06c/aSbzjCO4fWRWR7YpKMlrUoA5kdnEikFPHSR0FVHjQKAaGSGhMFNHhzp7owbLuYUGmXFTO7g3AakQHFuItVrJOB5YPakBIrxzSspxkWPEyqPtGU2mz6ErkJJEpdBm3xZnFtHrs+Fqg0GYMt4AoWuXPGKvtJzDiFIUKsx6YZ4/kFqqq4F4JhACoqwaWkTyEdJm1D2GeMRRU8YlELelE0eXwuv1Ksun2mNl4IZ5J96PS2NCMX+d1xv3+fr5+/dC767/2H3763fd/w7/+D789z8fk9z453ErKRqeNg8GNL3b5ZPRXYUU40U3HF6UR1wGY521wX2KK9FBIn7rssbWhslbapW3EHBknrPT9wkgv+Uivw5dwhDM+R3PqdXBeI/G1kuMD82XYHOAMNDqj89IZH/cZzuA182Ee+3xgDkd4gaPS1OusoM9BoIIDGKup3U4ryrqJOi4tW9dG9URDgk9xvia0Zk7Ju9YT2h09ED1J9yxECwbAU7BmFzLb0oiCj6WBfHRmWOf4yOH1Z3DoUd4/SxhkeQDlNIdPLfZ9b50N48n5trgu91uGgWjUbMZCcAnnXzqrt+1hQLulxyq8glaNbVU8gQDdS1+BMcvnF20zcFWXZHQSRrE2e000rh8CdLwP1YCrY5HfdyWeLdh3yvTVzDjNzkoVaUhVfQN6GYrLTwa7QXpzAygx4Arz2b3w2t13N3c3Q1ppVpZ84hO6MeAammucrQVAiQKT3cY5KToXXkNkCOKqu0OsZKtIJsD9M1G9ORfeVbRVF7OMgFFB2PLThZ21bnYijDtyCRU97XLhJmMViFTYyKcKqK+9RDKvTaV815akt1vvhGpDhnjtI21XF2s9S46yqHJf6ByTSD4aq2tO20AXnt98+fVvny9/BOv09MfXrx8/8+NnhURDsYtKig/USTkC+3ElwZSQUB3dIc5oZiDPac+UZkA+wPH2NKxdG8kEXEfhOmxyBmxpU1wNchTWeSfBzLptBPhAQgpdG6C1CkQwikLaYMOJvU5+/72MSceOICNJCyvYuUYxhLKLwT4x1kCmw7wmiCt5R5m8eQbbq3NOR9vAVEfvlImNC0Y/m1KVQOiqQF1RKa6KKc2YO0qb/fK0VLqvwv4ApfO20jqMVG+GO97ccILZOWEkzyDbQEcotj3F9BWhXvta/GqVQhabUJXkKtbdC7Vqf5U5jeLhvIkAedIRs5LvER3G0ATmM04G1kNOTaE8QKklg7vpFxT8dEEXJyCQg7jb0Sml7nmSaqTmRkzewZUYVTd8Pb0KTTycGNMyqpm3SNtNWtnMYHFiaWAQWWKJm4Eps7bVraBLtsCVO/qNjO1BG8aQt/eAnWwrzCV1cUgXH3v9nKrqYAWiy/IUa7iUYdDLHbsFV6nQnHEhvga0QXqEQchW0OyAQ1duyUy+Rrmd/b5ZYYoBn/I1oFvKyJbWUqxN9rhTUh7PAowOb7TtIDxB2zIfL8+z9frNSSQlCl057kEQb+pURrCejfP7BNS6sXFDs+jaLDmxzMMeJ528319aDNYEpdc/EehGreJ09eiqdqRW2X11H92Vs/iKjJj+0LMZi6EwhAGLPtqTvuBD1FiI4IqEppQbHr1PVGSOsX9ZLZDG6TUa0KtQ+8WjnASTnfQDKedpb1t4IU2+iQpREDWcLUVxZyY/FJ1PRcOcOXJFGZVuRVuSFrOCsG14vklh40dXEhmJRKLxWLBU9Ym+7ZOZ3XnEPoie2JDsUaU7KszG96dUFtPNR3KQkrhilX0HDHDOImwT+8SzfZp8pxNhu8SChlgqaCcRp/wKZVThZZInwAEAV6c1AAzpaY1Q/d143ufrV/z6+x++sH/30+/+6Lf8m//hz/+///F37//T67uqQxFQYplo2ifDeuDnCCqrMLMobk79zSOIxu4WDpOSi8uMJQLRjrakgh9m5FzcGEIXoevIKpY8EzVuIFXRHIHDxaFo85LmpCDzQWi/gk7yZhibPmYLcs4Kr7YObvYxWNydy+kFAYrqenxEnIluRyLanWc1CUI9AuipWtVHhD2Tp5jGZFdNJr8L7AxNo1AR6mABBaRhWX50GzvenIDavqBM0npDaUFmtqAJGhSnFqJrZQkqnI0lsVfZdhFx74WsAwDbOUVDsRMAuM6UfaNieveUx2sbobOlOW0pTkxZwTmVII2FMgIKM4PjyDoLCeHWd++mjQav8Ilk34WoDNSKPKGpqCIidMnov0fFxSuQMruQatiXeBHZtSUyHgnb913D/Z578MQvFnjW6YScJCiY04lXu295KOidM3DNnCRMtk1y4s6+WQk5pKJYuCH6NJMpn98p1xqfYgS/Ue4pebMnGxpxbyh5b+OASRtxhIsuI+KY9F+M1xhe2XCaWITsT93jHVvTke9+O9LgbIeRrNCQDvLUHnAbcxmzFIkNv7tZFmeblMpTdjEMphnOI4myu12Frv7Vd9//8Zfnj+R+nXPmnNfLP//0fs5ZegZXJNI2W4UqvjF4PzS9N9zAgY7PEKbH8xop79/yG1n9kxEgMGWUXGlHkgjssN3JHHCY74xHny5nruGjFt2vtaykp3HtwQXYMI9XdcYVgQfRCygreoDs9MjNqjUjUdAUhahh98mI3rQSRI2ls91LOlwQMX3pvjYJdd9JFpNWIWgoVikn7ISS8p/xNW2U7tF+cfgAtRCBQk6DLtMqAMOdLtBP/vQqIU8O0kXxHJwryv4O5AaTNZ++/D0PkOduvZ3mRHW6VaDggisiyc+wu4gpVtAYcQlsy3VWhxfqIpkuFR0xUNdZ41gGBoy5t2No2OOJHBr95LRk7KNA4cmQX7spzqsLc2cFBALsAvmdi8lGfOGz5Rv7It8mEivygSXp5NITtkRxlKGdD0BC41R7C59fEiTkpuT9y7EJOJDuMvUgUJNNaB5JhapIqUy3sxAR2JnctB7dzgd3wAtrMdg6a3BgdkpBGXeJe0bROyvjU1q5XDHUJ+eklqie5X+1jN2KNxEsKeHC283ZcwJDxmtmmlKQ4OBI6W4JlvGCiV66Og90m48bfJ5+yO+efvrph/08JrpInhYK6ubzhNWs562fYne/PXzIflhPrxzHWpmgU7NmiAA622Ht6AfUE5KbwUe9pd0LvwSW9Wcq98ayGf0L6RwA28i6L3RlKscDFg4NTXpvVs6qBZ2cJj8nfgwWgq4qke7bqgS8qOi29x1AfEwsVLHcb42Gn44kSgsMG0bZJVvaYQFxs8SUIYwE8ZjHOFkaXNaGORErP1M6PEpZ+pvZIcUUSQWyI6lbV3sDKAU+XeV+YV9RquKuA6sCEKWbjO7F6Jzr11WLG58Rw/fdURxOMQXTe7I4CkprKyhryDWXr5IibhHaEXYpAy5uzU4/t9yMGLykofP+ccwzOjaE8z6//+nb4JmP13/7/e9/+y9++2///d/1m+d13tDFN4bMcBj6vU6LSsKaEPdL/0K2+vpmMJMIdcsvRXfJUnFToMGQfQcc35XJ5tH+pTnaXzJR6WxjEuLlI8Sz7RkMeODJrRfGMkd8CS/R1ssYj8cz1lR+b4DXdBaOB9s10mjO0dgnNg3Jyaw755jnZcgjjTDCS34dH+MMNXyRL9riEY6okBXmS3x94MgDjDnGCxrrJX6sL8THPtIZH+mY4xrjJb6cPR4zsIWhxBpzhGnIfbzMzmgZITnrt1b5OLeMpoeJMnPBvtQD3BtbaOK5bQew83smMO9cvILftABVsCZTkr0aeoRY7ahztt2ZdMorTQgflzrVaQvI+Fo+u/0tsnnjtWxLMllChpYvsgYnyaHArFrNmKE7hjJnkD/VZfnCJO5yTw9BIXENiCqtgqGyULK5FcL4FGGm+FVtSM7qkiuca3p3gXAw7GG1rx0zAI1u+FgE4Lyujqq4a7lZsPePpGIpz2psL4RmyKpUtkJxKXY3bXYHTmPMo2AOw80bubINkvKkfCgSNhaevrNaHpJ8gAT3oCeDEGCRZXL/euacgYhV3OSKBbXOuJyWNdcvX741GwoJVqXXTQhPsdBZRv4GcN5ev3p9me//5KU/J777DmSp9PL5sV5fX81nWgZdp0yINQQmpl68VdQ61X7CvQKEZ+Q01a/H84ILtXfWlbWMObWEJPcdqMBE4bPKkgoOQSA0PWmOOxetUIGVGSohcNma2hFnoWjX07p+/dgXSI1YLLeDKe0JQpTiucokyzWKFDPt7YMqrKarwKTdlJUI5CX+ohFbJ82Fg13FqPcfrpYvtFNNo0QcuUvKV8zrNlYPsmKh8jQX8FwWwu5OP20Cd+Ff2aiKuSUs2o4d5n4LJn2g6IOuS4N1WoIiLFfnfYnyvY7SQFzImW5bkMxmP3X2Tcs4H77Azj6QcuWty9DawBmxl44S3cvXhYX/pVYFaHfQH4SxJeHqbTSK4MSmmF9FyR1B+bIbxVGs8cNZg32osdX4pah0FQTJHdsABTmiMqCW2sQiQg/xIsvDDPBBIQKOqmh308d8TFHuzE60sMxX+K5iT3+W8lI9yKoPsXbBC+KMB7+zh8xZXKw4CC6MvJD48plkmEX7Sy1hQcPoGk6DUoEH01X/tI5bQCc931C5wx3S2c1C1qErik2o8QzYHGf2AZ+qw5w/HKlZfgPOphpuUcg6t3Q7BGYIms+lM1lFkdN+pprzq6a7UMTzACpXA0O+fXmsEr/DSR/rSXhTOL4qFMeD72lZB/5imAPTfh27YfTbWAL4KGnBt4XK5UvOoRa1rLz27axa955oGY7iEBOTMAs5Y6Yxy/IhqfnQwZ6hlAf2MWusanA+T8BKUB0R4DRKTy2zry3yRWqUGriHpMtNzerjwYc2XM9bnbOsdQfuirBg25ekXBT2uKcGaGswOhVimsHx8ZiHG0mRrNwCh3DXQquXB6Cq4FPgBMnWBlJo67S6054mvLAOREfLg6k8+IvEL8sPyw1le0DwNALFEl7EExu0MVAshGJnzjcMDewq3jSrWYNHFYxnoEoKWjqECLiypjG0R1qToCKT3Q5i4RXJ6RHwvL4Sv37z+8d3D37++vP33/3w9Xfn4y+//vO///X/9P98//n/47fXn5BfiVeRM088v/1gZqgc07jpWYELSGNyau94Tz/wC6gvCymCpY0EqpDjSGnIdUva2pLBC9ZaCXDzQwecJ0CXIkgiXQcf9USEacjTahsPjwqFJUPm4kN3H2im+Uwjq9m2Jy8PIhAuAJPtKwi65mwmtUsc7/NTHqM4Y/dqNAPjlQo9Ntvl0rdAF7OfIotMnCUaXF4nx1JAq8pDRQzHeHCTiZ3ZztTJfMrBlcxc/KcCzmyk96OxiUh18hVt1MX6cmDIBHjiQSf2Z232EADgtnkRwORTYnizMMx7MZmTeMEUb6OZ2PKVt0YhWDDWaUiUcNN2yhHQgoMKFLtU5tXx+MLKy1yE1cBlcDsf2sNapm9Rk/pl/MjEbHuy1dUUC7V+0+3vM9vuzHSHfC7rtWhjhnJu4GnUVb/EHC07jVUkxWUXYU+oQQPACizDZ/SnJDBp+8GfFuwKpwJjXWMoVlcYsPi0KWYpX8DmyC0KVFV2MNY94BGE/FYu3iGjAu0t7ggSvV6CBpjg4Zi3UiZvhGnSCXjTvIiErfCTc0jV4DIc4IUIDa2VnvbGwnivPi14yF6O6SHn7df93T/77sv33/Gtyyz5nPPjT98+vupE6tSRqhRchb52Dr2lrAeNT6COMeMj4Mj3/7JJrmE4kcjrUiiTYJGuSeVashNEygACsDtijnyVurTxDp1cAHX/P4HNs3PYmXoy2tKmB913+QcT68udY6PRDWZ9l05Rlb2KMWHA6wARRksWg3hDXFsRn8CIjsUBunK4KVuaLo+enbQ2WjYVLC092eo6+JioB1FF1+JZ0dOxAOqcZL8sL6fglnI846maATARSuGucAhQ+UaKyxnU2C7XiNdb4i4SdRSkipsccH/0CnDjxZL2X+DGbOZNzbaGNFF7PmzDjizEzeemEkidal0hErpYXTHUtFCqrSirpcQnzxAMcxIkJmwiBMu6pW2hhpvtnIdyy3lbMGqqWTlEFFp5Pd5tOMnOs8BvjTn0iQGMjeVrlSogEwyvQ7iwczNw7ayV529hWT6RnBfiMthaLJSf3LoDx13UxbKtrQix6A0+Iwo9esmwH6TlM3dZtewBNi/wzbzpBHl1kjwXxjkvSl1WPQjEDnCZ0nBiMUPIZiHM0u6lTscKvcKR+NYK3OT1wGq5lqUgBWzCpLrA6ZAB4y3nNJrVVX7jW0Ud5Pagg2Px6eqnoangRuTTecv7eULXb1BFPV7ta9oUGk8ksSLdl/yRPJwgZzkeL01OsGQPpiAVexUlCMclJr7wWtaUgOOx6McjaFdWIokNeXTSw1997OpsASAowJLvTn+XFgYslGuXiG/H4ShMKptZJ/asqqpkObKd2dbxr2OCVJUXIBeCfkeZFTStiFnbMuG1rjQKN52UE91FSnV9NrIFJDA2Z9Lmy2zvIQQxTP/Q6r7fmAAGTVdGBGwMCh3b1lbcBeVFrBE6WWFwJUs1TCrz/NUF8pOLUI4tqVTwKSFatBys8mrpeLuN7cYHK8pMJKbY7gyKIxmjI76eb+/z48dP53ecf/zy449/+M3ffvnL/+G3L33gBbDcLbBLMVefc3OV4r+5BXZLRu0l8r6pwqQOT5q8JWAdhWhNFNcZ27HQ2EWlIr9x2knSHBarfDnjGBY99OtxfQp1yGo/ZmL7RKtCozTdeW+cO5ATMGWel8loNILI3XkBBhwj7izysDR5sFsKM1F6OMmuOFgx5Y22jUJfNj1hbmvMmOlrkXgD0CiMBxNvvGCx6I5lWPkF3H48fQV/2ToIm160Sua6CrOhig7OQqeTZCiCbEa6qTiRs0cADy5l4DvRfKL+6fdzQ9PnppHP0bYTOkBkdWEQZyYcPi0PLvVKXrA3feGEJONmRqJTp5bAzvIJ54G28en5T8IUBhOtrvKtUZG8K07s2pi19AZa8tmI0dtK5iSWo/AahxPjeUHQjPcRVgmrrisvEZZoLuyHzfhaoMeysDEG67nCZaJsAioLmtW84YniypMohO0Z9nwB6Pi9b531vVW8kn/CketiMwERSDiT97aiazpaz2dV0oBiH0Iqf+LaCOd5X6FKamtGGbUDPkWKFYfdBgPC1eWdFuCxGmviriWDoizLyGkjzDPRwdx901LS2ZLnzHz3+v7P+8tv3/jd6bKG86rX++v92zc7uV07xF5Jipx5k61xbfgMrx22ZrZHSFOS0zCJQwix6cVWjMiHpnZNKhaIsQlWO3R4VovvWxB9wvo/paXCuO9dnE0a8ibefL5plxdD8f6Apb4yU1ct6cbsOs3dwMRwxNsgKaxKpraImnAAbMBHMecNk07TTPbRBlItR5qj3AXXDBwRQAw5K6SjrUka9hFtT1WtFhJurz+ZiDxlB0ySUGqugf21xbXVhAivTTZ3VuVsAKeXMmuCrNSLGMmYpcm2LUIB9kVUFgctSJi8ypAymZ28dbFxw1HXSsgUBr2ywExCqQYnIe6yRZ3Ui6gHYAnFzvkyG8wQ8VMYSI5JZkPDbZ+04OtI2Y4hrXUr1ie7olYa+tgujCcd8xBAa/MZZteUpn+ANybf3g41b66utCFFMQNrDtE15mGHmzz3hWug1BaepXeT94h0W7t9S1eAIrwAYzRHXlF17lMeIoo+9uRLjmDffY7O0K3k8SBr+gScVawFIck7sxRdwA6SY20HyKQ3GpydeCvqjyqwpvaNylNu5bwcjvJkb9k2XFmXaFIVwRrppurt8UOXt875RAFm8jxC9WubMjMLnPNNShtieoPuIUCSpsbec07YXZ3ogOvjlArn8TgmnLYBUJ0JbmoxRsXJOVGoZ8U4HNw+IINmwnS0MQWyh6LKIxw7q7bSmbidvSFiepTglFkXkqMQ5meGt7C1Bz7ZYXsZdTf3QGg7JnxSlXUQxaYfJuNG8bWRYFKJzBMnpgl3NijtQ0VMnhNlqekidgWZSCZs5gZepVxlcYq3/Nm4KRTmNeFhNxlVNnLKMDGUtDpd2XmkiuSug8KSAb2y9gUSPBLtNjzHnKBjI0DxgkwkPEESr88PcNYl75hDL+YJrD0y7eAszBeU1sKaGieeBBASfZAaeDTnjMF54fX+7nfg29uPX//x/dc//Yt//xd/9Fd/HHsN89smOzeZQqzgp9w84iZ84wMzoi5oHAQm7VE+bjmDTz/u0lPulVistI4Fc43bbacHKaTZFrE+L+tKrjadxbCYeEEaFWlr5SNuEDVZGQaauee4h6G3BPOqqBcyTaEqoFgM77StmoqfJTC9CYGOhC4e7hkEqDnJwltRc1KTgtkYKbI1yQhH5iJ3sbVDyYLJ9kmU3F7mBYtrW+98gk4igKOA7yRnpy3eFuBijmlCHbuc6Tw8aZBQwnoxHQCXv7SXi+nm9WlmrOIFkOjejTBp50hGLVbBernCNijMBJg2Yu7Tkbk2P1HaBzlofSU3tZDMQYLgkxiBSvMZc1SB5drfG9gyZS4I0CUYNGvj1f6BjHsJg0/DB+9aOKRb3B9F5xpEpFlGdAsKWntBJngZrxW23RmJCAm1VMGquQUMkfzjqPn2TQHZLARA8qdmcum3xRoQfJZXgm2s5ibvVeps4KjU+1SkiwV31TooAG80Whq/yk0MddzGeqRaxZ1A48nSmqs+/RsLLTs9RhCYlK6qqhTiC4LuWyRHnAKsEnC3JhSyi6Yt5LxUEf5j/eq3Pzy/+q5+VXpioJgfv75rxEwOgQKqCT7bCKRPQOYe4xesXjo+u5hFQ1ts7rO5qw0DBiyPoZSg3RXBeKvjq1HOHkMloG+Gpoq3rhDsWmdjiUgkEKqeNP6dom+wMrCAvUjRvoj8HE7/ifROGx20S8dWwZAPvAvb8wxtO8T2jbtkBAJS1CEwPuvxEhgZ+ALNCMZz82zXtuUrg6m9p1VyakNGTtvGuFMH/Mtje+sCt7VV7EpR5gPJ7Ak/LyBpghawWjUhUrWTTp9Izm/iUK4IqlZnIvipLoiCdvjYwSN40cYNlWJiNbgKttpYPbTQcNa2mJWKG3dAM/0LQPghb28c7CHXGAZnzyxVMaCsg/qvxpWp69ESmTwwOsTblpDsk6ahkTfRPSKQGFE2eMmMHWgbeT0sMtRBrlzt2e4tjza1lTqvZ16OgHzJPmNk+fXAD2nJUzRqUBAHqMmhhbQ1QaGex+MtdMfYj0DOSkB5w0KWUqaHhaPcNBi96SXIs1Sgz3U+CVzkdAl1hHbKRmZdmDLspnkXGnpQMnVq3/gLnWYWZQHJd0wGi7cjQFkPHUqwaglBbIFUFH1dCwQvh59N4bqmZssFz8wN+zLp8HA6LLuHpE4g0K3pebOCG7ECV20jNsipGiDcuZMRhMzk2aKBdcApIffpWG/fRKpwEqke4jz3JVU+JSODEwhEYl0TYd94qSNDtGvN+sGovLqCCrqf9JCYpNhggdUpKimlD6vKmzaT0y9nJOWz+WZEnp/eUKrs4aqdCXKIB+NCl6tkHiWKqfZgyZIqUqrNMQ2nmF6uHpDGsAxSJqoyUvS9Bo3is0MvK95NBheOrjEvEnYiX6dqlvvaZzsn7Jm55oLMHxmy82RHzcyMrV5CpVEhyGen8jv37kgQVsOkFL9mORyQDBy7PeVDf1Avn5k5/PhZX7+VTn/9+vGHf/zPf/pv/vif/7t/9nP9Hg/Kb0+1H/CNBXQWUqTd2p5kIbDtAPyJTTGbUXaRCoudAKwE07PIZpuFTgFYkWOAobjjkqa2mGokAUs6ZDNjrmABOfQdQjKDOOAnsXmrb82O4RWBF7GCA66KO50ZANDFxPf5LaS9FcVIm0VwdyltxlqaLqRhXCSrjbrxGtujR61lE4XCJpIHyb2PLitRwXAHTwR2e3Klcegny/lYnTgLuasesqgGOhu7C0/poZ/CQz6srK/MpauAC1QllQws48HuQyiwW6tUcZD57fWws5ex71gsOrh5t0UF2NtlZ15sGypdE8lec1+aKgTQ5Y0umJN3PyhjRm57z0d5S0DEsEZkcqvSyrMvAoORs+6Bn7kky6bAdzGH9mfn4FCUqFeXkT+BxS2Dp/EuETdiXZpyUNm12IGIwCGXL9ecYeIJZjBHzqRRuOg02bNdXQQzuxNpr8WOfTexiF7VjC/6/7k2L+wslodJmHsq8uLo2ASaVTbgOvAzjNK48f57CeI5l68hnJ+rMwEwFtSViO2/wr1BaeBzxLmgYnAM3L6D+0ftcsdLsh0A70/K7liafhrVqKf6iwu/eX71pz/09zk32qN5+eMrzouTIlJTPua06mjNVrWeEdiNxaw4sALBBR8dYUyDjYddyR4B4weXysGRZmci3LEFYZByaoc1ALRPIM/dHrN4TZzaopKjGJCi6WCzG0vhHYkjAw2PkYHuwmy97T/Bcq08PLBLuGTHghwg2TnKEzA/RdVd3mYgcUKfcxkQcfkCWzQ8k4oQ+IlL2USQ6M8GKMXhMMp8wHGRJfzO9w1PucyrR5ayAkW9YqlokqJ3cSz1sJIYB1J4UFaZYI5pg5WoHAWFizNdLnk+R69afVoZyL0a7d/MQ+CxUf1J3OU3lp2VgkMgLSV3plp8j7YfWh4WVVa2txqGsB5/GAUFzg1lIkQya8ga1H4G6iAg9EoFZ6MBdx0SweD8ApU/bGTvT74IjYlekFh5lxjPb3rKrMV9BbjxrueI5iCOpSeYq1Eomxp+mhRoLWkFsov6TLGr2nMsASYcJm7CPrfoszoo5c1bgK82Ex6PJhNNpSWcazVlrqOT2b/hijCima68lL30ShAgrPPrrqRVWuAQ4mD0aa4yH5cjvUKeA+six0y3qsUvKmLL6iZ6o0iiFKwm3uppXnY0W+eH7aCGvvaoSyRT5N0gyextxZgeaADtmoGCOu+j/VrFHGTDD1KEDiDeJOVcKB55EvyAytgDSD3dxMY9jBb4xJ64n2fC5HTkZ8nHwGh4XienZRzzy1hMh51fJFqHY0RsqPgGU+C90p/NDgxED9Jq/P+p+tce27IkSQwzc99x81XVz2n1cDgYcEAQLRCE/v//ECBAgiBBXyhIkDgz3ZWZN+IsN9MH83WyVECjsrPujThn7/Vwt5eDqsRmMGA1oa4Ay/HbA+iu3TYZtJmtIyCZdQbUUocDnKSaayERYjJ1B/lUQTe2wWUGqkYfFQHR+n1DSmZtBP+Fiqy2K5KRDMdNOkB0se9g1OQ6myYNrXDdw8SvXNzk1v3XB0dLN/qilog1dKO6N5gI7MrJnp2UwewUAosHmAkNkz0ueSpdpDP/VCoMOFMv6/XqL39+vQ6/ns//dp7n9R//D//ux3/i1+vrUbdbHHVugJDV+4C4i1NbrgZoz9qGgUzTCpaYJZ3Yjyjwl2MsvDFOrSTGMdnkhvEW0XRtaQXU6rqWuy6af6zndBn5R5Qujck1NOElQKYGASq4uy3K8+R53RoHYCnMQhjwIJskO21e1apsF1NyoxOtN/IpKPEZ27362R6GJqrVcFU3pwvPdklEVdXTzDRFbWfZcLnfM4wLLT5PNdHNrmrioT+aXRkFknm2aXndtcV+pnKQO6Q2HayLGc51S79m3uVWdqnIN30jgPOt0FaEwuiqF0pa3GArwKgTeM0wyaP3XeUKXoE38twm0w+kUF5iK+roRlTA6cQqh3RcW7dpaTOi3bzwvGZfq6uzLL1QPtBOzhXL96MxGo5UOgnbzWNKb86Ts+vqp4KT5llU2Zz7abEvmw99cZot4aVd9WG10Uq+zUZhUoHCsbNQ7mG85VpQv/1PFD0T+HGPQoR+tRZ0ROpwVbrcKiKwLRWD1K48EgOIdX96gg62Ca2tKry25OQ5AumJiXpjEekGykOGWeZVDF5LQBQPZCxB6U7KABcKz26MhSpNUB/MGfl5fvzHH/jL+bKe+LfF7797PoWjqkDqZDVenugezlatiRqt5G4FRldFbjJpWjb5I+WK0+g7Rr3tsKQXymT6x+BTRqhFXvCqyGag0WyGyJlKATzXIAFurFlGbROVBMRaR0/ewMO/2o7OA8MqcLjYSJOXNMIbiVksdtvIK7PMhuIS7HkFEfDEq6eYwCeHgf9qKHeK2PsTc2FHI7VhnkJgSdTVUgBGpbQdFpBLjJESVy8jmaJAYUKFVeEVN7m8WEKlIlMAE0ijIBLIPAsX4XJBuEBvNt9D7nMRTrKD83VIVrdmI8AvJqEUpdKsmHq8WSTt1I+XcVvGTzbkQZnXflsEPDKqotbo+KKq3z1ujlBfH0ZRXb2CAtDGyBuYNRAxOBofOdjACMIcbFeyqugMZ7Y4lma1vqGv4U2P1yTRM32iLE26SjgtchX20snEiWFppZwLSfnJ9odAVSbuUQInTkgvel9M6NBS6GHYjcnY9sgxYm1d+xARBZscl1IFcvA+dao4Gpsqnz2LEO5ubTeBAXGPt5hX1wWW/JFMoWes/eDtglbuiSVJ3SrNQGOOY8rpROfiCkjop6s7ri12tGjwA66DhHvapWAEVnDA3UO1+lltD8k3c+dNqsWliV1F9JIqA/vIwMFgBeFjuLCBIjgzEpQM/aU+J7osXwCrwgZgbBUrdicdYICRJKaOiTFHdmI6g44F40t2bM4UpI6t9UrlymHt8KPlDpUaKkdV9Py9hLpISgobaWJYfuKFSD+XJ8NCoAoXtE0AdTw5qdLAIMdIAnVyecfd+z6Il5WPAVmLg12Ag/sFsSrISpt5GftgH5WsR1x1a7NNdrgsexNRg07YOOnblhlYka2bCYPegWpLnWzQ1xX8eiswL+2cevghK3M6BLESdjlp+eAo0uD4sAyjznaweEBQNYZH57wGX9/9/fX1+/z6+q75lf/2+2//7l9+/od/+enFF8839oOSS0+3dWdUAbBVKZ2jzmdKfPneMq7aQIebOu4UD6n13olnhlCsp2rrp+gGYsXNUSQkcTUJ9nAKOCM9Fq6IwYt4ogC05evLrPuZ1jjzRj2X1l/KtRZFLhLqjkn5guO1a+AJLaVVdX64Kn1IsMCaVE/52PnM2fOhwKuIdq2phkV8dBeTSuICPsrN6VZHRJM8uJWSg5EkYKqjgMFuywafYrL9HxLV7vytrjZYvVg7oQcu4qPz9lxQsxtiWh0TizqzIpIxsIE4qTJygMXAuGhzIGVESHtxmmWhQ4HlvVP0VsyIGNO8c+RoKFPmA9mmZ99NUKUnD9MAN6R39wwqxBgZLlrMCNftImOpN2EOFOZmae4wpra9TgmvGDOl1fbqaG8cqulry9uhirAn+BRiZry4Q3QcBGYcq+5u8xBUu8e5RHDa5p0mXsspLrzqBIDYxj1CtqgPN1/vByGQLC0AlpidtG8InpdSbuH/AnqHoa0HHH4QMCxahIQuJgxv0xO3cAC4XuSLM9orRdXbwUTcOBhHFpyRWbFubGCdgHIHbI2WEtg+Q0A/Kaf4Ef0Mf/jx+fZPPfXqjQDB6/Oc344P0OwCngKf+BwEz1ASz+GWeS1zOxyDEs05VZI19y1HjqAsy96UzmgFOk3LvuBGZaxmpntIqaHy3DISBApQGig9U/Cw8meoyoV6p9menKIJGF9aaSMCzJ03qYXQa/ch6aNIbsHKjFPQ11FPx8wQwo4Vtm4vrrr1qEiXx52TjFzt/kXgZPo+nh1Pbjghr2+kLwxWrAJh6FkwrhItF/IA2rNcitLVZa8T88BafsZ21bSVeeVwFtMePx15YzlDJxd+NmiPo4IBTYzLXeGRMqvLFXJQ9gwqnXkJSIvkdIFY2ZPgiy1t9AwL1SlHetm4bnigF6RYISw3urSmXucgxIJVuQ7N9UMBsHaYTESkWKzaOpY4a16QzHnh5IzDgyMnWi4GMcCq1/SJh0o0S1rWKpkPmU0HeTGKrCxe0WGA3B36ZtjVXU/1kzCIouPmrScTKPZySVJzBnIuIGxR0UXrJtrsPejjTBsornTfiJZpNxycUXueI8gVX7YX8LQFHHTmNAfoW5BQRjLidyvCiRffenRWybt/eNutfVIxphdRDRat7W+pDlWGWPaqqohuFp/82VzEDdaHd9VFJpnHK5BqTmD6pY+QTpkYpWOyMKDlWV9bLj6+JkV82AEY7tzNV8wE7HPTNSJma8/gpKWd0RKSQ8QSWdsxw4WirTmgpZ7JfbkUzQCx9cBJkvNYA3hUCXC3SerlBDVoDISsF65qcANIBaGSZaotM9ZawdvDaOaMo67r3dPZiVFx5Hbm8oIACiKcsdKxUu4H9+ViJQgzggeToAPCnLI3CjS7UKt6ds7bUPXb7dmgopDG44585Vn531NTpYdKcEOIig3xSAPDqirHeT8pJ/b2lK7sLRVqSqx0FYjpHytgzMENoNmYSrQJvICKbiFmrUcv63l2HGF2xOtoRi8LajHE09TrBX18zfz+9Zrf6/PX+v6vv378zdd/97/8/fN3VS8/bnwIHrozWhp7HGInwwfYW7wnt0X8R7pAqW9PvIfs/cLsMNlVIk6cUyxig+WAa9bp1AS5Xa9LYOUcK6BLSoxpcd1UzQWcNmgq8bqdKYJv+Tu26AcYYz0Di1eohHBH3pXzrgnBjp8olOO2llXRKA54ulxwmw9Iu0PONx+iUEV0oVqbN0QXq9eEmgvCDZERlA4XqNhwQJKq1FZ8ik+CGZ2P5Q1EIoroYtd8EM9Su2xHwA9p01GqAoMDPkVnxuOC8rV8UgaCBpM0ooCEuepn49n6HoXt4lMdmjZRN7FyWf/bGN+26a818a6rU0kFV9FIWuDY1Tv5YH/OXXTUkKORXBF0rH6hxDW+YXCR+pXdYbdfbe+vCu75TtPNhXgv8Qo3Hyxn+eUyrq3s3ubc1qLSgNiRLqdxrXcztQ0r9kllgWvPhy3vbdhmG29kfVuN+y7GdmahDmCU0oNkredwhLDjNjaOZqM9duUDGJSBcSkzQZdlgCMMlo20C7jMgP3H+MzcnOlBasG3/Zg56RbJst4T1PJwIyd8m2zRBErrwmY96IxRGAz9OYlx+/Pf/fzDLz/mQv9WzcG8zufMxHoaSj3hhS/jiJxgFfJORUdqMaGYoX3TTC4f36sQzwpHtAOzjOLDnquZ4EXjMjQj5wSzC2jrjpFd+LwYqStjoeTeVFgp3ejsGvdq1IMdEKBrsjqYqSxLedXKWJzfvl2sZ2fOmCpRy0onTN7giKgVHjBhamwohPUOmFAp/nltf5vBn7cP2dnTwanxpMxOQZuWFZm6pZM/vS37nqfJfuusJWYfeOOFA0xiObnF6Ozgb+l1o1DQzhVEMfrhlNC+uN7iub4HB6Lq3kpjG2qEHpXZ9BaHq4HJT9uoEO2RZ9qcAiNiYWXkn4NQtUl2dSGh77UBBDcidf9MXrsdZC6D+qAhaBkDzHjoSa8MHL6joznyCap5fBuG4qFH/qoZnPEE9dYdr+BFy8o7HmqjkymNo2jMttFgtV6mrNq7MxL0mPZhplGqaANxoxieqHrCm4Fkmrh1X4tWSQMFXZ49X7SB35biqUzIUSnN9F608UkmEkPGkWOqk5y8XFA+hmdddrkbVPQWcakePTTSfQKm6aqMPkiUA9JFMw9OXmbDbyAWECKV9dMVDfFDhbLL+U5hB4bRaGwIE7gSJbLIZzntx4Fq60InqdUv9SNlJzsTjZTgZtPxUWztUsqDnGRXAdxJvxjQlUzRpIbHmxh5TFi9VxIJbBtz4JitiddLHls4w5V47jCvQFYpTvGWVTCDy25svwxNeXuF1bVZlI7sIUZKT1Mu2S9nMac8zTr6Qwvq5upn4HHJa5HDcv6hjGpxtx1cSwnFVPDNIVgDgC02nOjyYDCSZNexO8BPTL65zq2CleyJhvvdT4qPUSEXtSqg56MfPm2W6wEf3ygDAF79co4sswMOdiMHvKSAKlGGMf0cMJvLEE40K6C3dq695UILBS4LmHlMlqK8WJFdcHGAfpIuJfvLM08dStBXvX4759dzfpc+6+ucfzv/7T/8y//uH//zn37/QRo/ep4u4FX5+CFKEIAP17hVYUJURj/FcJ9af0auB9BP6gUatK02MpIRbkZJkOi+rYZSHGL4RtW5uHREOEam3TCi7OvdNqLAJcywQeFB7j+GJGEBmYWVYrLgOwR+jRyLpKVRvJWgQvDcMNlYbKMXUfIpWC7frIRdr29keKVmBBI04hh9otfoNRCBwBTzuuhAyUYGiiMcaePafcIBrBfHb0nULGyGCvyzfPPDgAjNlRFDbnPz65zpMIJgToTFmdLW3q+S6ifuCIeRQ5AAoVDqvLjQekDLJ1HqS9osO0B4sxtq7+ktL73GiwLNMcgBHyiDIPMCdxhAZOzK5xp0MZP34nZYUjXq1Kv7A2DXBT6BaPQAUVzskEtkOG8sfQ3vo7UrQ/vSJCzdp0vlMluxd5duuUymx/J9vTZBoULo5EjlrtKXqqK+bhlY6WAJQ7fcCSzl3t5Sz85asCNICRj/NEYRIEYQcWvvNQFzh5UjMW24YYysNd5wtw1bvaHTuyu7KNVekbVnEHgb843VchiMckrZVZVjqQXVBV1pmRlZVmUY3aTG3aGBijKqHtXfNv599/M6OE+1E/LwMl5fX3rBoFjSnD1K53WsgswGPmoIQU+tAC4MTIHBA+Zy13Sil8s+lBAazLCcRGylvEJFv3MFg9QJELMqgQXBFsmXP6jJoLCJVMgJ7ah6UKPozuDbGPlh2vAn79sy0JfWygW3+ZHxOkd4rzJ3UJTfUW0Lt1jOx8o6oQEP0KdwI6NCf1uIazRzam+/49BKSknAZyP50N3ybM0+weq3jxNQLmXCJZqotZyCl6ShuxZhL1Acs7MMMZ5GhhdXJAK1xG2O11Tfk5CkSlWxRG4a+2v2Nm4saxb2YuJha1wb7k8Dk1HFw9U7YZVKEKpKdq9OnV3qpK0YSWmyVPXQQxKObiadFwZFDTqqr2iAfJBdrUZxn0fqHw4ivG9kzvE++iBvNAxRoxMGfMWIzZGWNUZ0DXIh8x8ITI4xmaz6sGYvhMWDeR2HwDY5DRvsounuTKbIg6tltGLuyTvKk+Iiexi72JkC2nfZuirTjDraOpTpqraC98Yt4xkD6C5nMAJ57Oc87JDseQIZqEAwo8JCLTY5UMF0kyZasdnmhCsNulgarNsgTSse0BMLV7FcHhxs7vcKfEk+pH3YH3QllqRcLgmZCoDMg9tzUjT0VBkWXmgfAdUx0mqO0crQiqyTxjGvuCzIO5ISPiNmvq53IIF9gKK/IdGbZYn3XqRheumzZsglGOTMq2yXdFDW9FJcznLf1B0nOJ2AnkntnZijBe1W/OO2zi3MDDauGZzllkR6CuWGazBP3JXjcgd/w2B61anm1GTk7xNT89oHDS5q0N5UpsXbJrIa+5xiWcPl/kIGAevKVkL/LUSEqSv9yoXtodkPXslyH5Aa59KFdw58xE9vIQNKO/Kk4cn91lXAycrKtHmD7DEy/THotBfD3BtWrL79gRFAAnuH5DYY0+Qz4cxJQ6uQmFvZMRbzYiljO5Y3iQVkuSeNuiklVHR0jGfw9W3qk68Pfn/Vh+r1NedfP//x757/+D//p//t//p/+fqVhQ+dL32jX6ehQYOqKqwHNCdgA4bwrDcKOV7dau8ocjpVapyU4MJTdBpdKpJD7DwJCHhcc2HPa68B0Td8pUm/zOThunslHIWQexolmAYELTEoct3SDe+p5QtFLyXJzZkrSHhQ8OS628BHzwBsQCj0m1/NDOcfKLCcSa/+K0DKRAZXBCCu1RSYnpByCg7g2fPKXg2nlwGKbHtlEmeL5cRtCBs3xRUGLBLtuvhv6lHniO31yLC7VsdXiv24vCo4omqV2WHK82NxQymC7TsdVF45wLTWwQRTXsUoDydOdWvBLTAjC1s8fF3twUxWBrAZDDOLl+4gyOF13IPq8FBVd0tF5pibf7mNq5AmwNCrOcoiCnQUMnmNeCvb8AeInQPAKxZcw3pA4k2cppHaphxFdhiS1De3Etzfv+1wzqCt/wkySe8l4Urd0tnyUp4wOftWIs8Mir4w1TI74QTzKDnAfRyr+U7znd4otxRh4x79wJqyAZXBQbxpkUbktRF3rhhiBlgVXpkUrkKk9zvzRkMX1kySguVWx9sQpcBKRoWJindgEet21ccv3z7+ps+Hv2YwGTZUOuf13ZxHpOyXgMHr5dEkR/e2fg5yFytvuaykflQQ7aYBaZ80NQWDTbici2dbuRVa5yYLXBzMs6IxwfJl9aY/oqc7EbFbWKFQrSnQt4HK1QCS+jBtl6oznDlfI72U1/uS5teSMpU2IpLwV8XBZumufARKx++s6tD3rusdYQiK1GVIiNPsxk9DSNZir0CbD+IKK2ik1YXuKt4FCqiqsPFVE4f8kEMaO9kppalswsGJScQMBoQ5B0JbbW6nVxJcRNVyhAI8xQhewjJvTl+Wfm+THjhM4XqCwC58iMqZGXl4UIcNqNE2147PUo3kTlySgVtVq9gZg5s9xouRpfpiuwNRbeDRH0SjMl0uo8dz+FmRXWk1sd4zYTDwREZTSNZNTCPp/nKK3Zf4XDYxw82SAuikg2oDwGZZgsqTCzWmeMhQKLg33CWcBgk0WBRdDHGPat6SlVu7FMoKKKbcqLI9Kmb4Ik1MTq9ZUj512wof6de8DNOxfMglaTB78uUHyyY4yii3DFvlEmmWmfRQlVNbxwGVGXcRNt7HK4M177nGqM1zItBsuoofrGpXfXvITbgxzNF2iAh2L814Q38oHuwkWU+TLE/uyPTxJqOdMzCnMF7rojHwmSQUQMQM37RrUNWgHEEfz6kxj4SwApIxseOG9zjj19HL9Rp+aY4wL+rMGcs6f8SAJv+zLB5VHlG+SzbNlevacZ9k1CEW+TpYH5E8Yh8R4rxmGQ05HoxBxHKh29LQ2aphRV2QjjQTJBZtjBLK76s9wa7qPYVP/qfYQSLoVdQLi0SlP8tNvZdOrv8rUx1XF4dV5fi814ziHCTZu8wBFakTHbHkc2pLumAfdqMfZjQ8PyqqFNBUDqb3qeLl0bCPEc50HSBb32I1Z5OIqkyi1yyKmC4S6BjFa4SgIAqqpLC6OipPVHpgk1TpymWao/HXS7++Pr++xr/7+7+e75/nn/7lh5//Y7tUquJjvlwDP7XoTnZ7wRWeKzzZ7qjy+Di+LJuxP3GLpih69Ffo9creBjmmo9pgqJAo5JL1tMPVc/GtK/EmVts62XWrOISwva8X0gLBqtKbqszuX5kZtkpanitVeiSDVbBW1u8t35JLl6V1/wrJcDw7N2NzSsEo6wt+rtrFWkIafkPBucVTJCHikgzJtoHl7nJtbCRIYpvhtT76LqJd93BhEjICeol1OlmLTnT43lOj+Oi4WsubEFxIOAdjMNH7uUXLAW4eytVhBuCPtG5xQ9i83RtTsqyE5R37ySWxBptvtZ+fexMEIzTZaSxBeCubvb29IenxpKU8i3gjlVjpJpOAY6xunZuwsmbNVNEbC5cfzbXdbGpj2B7wvvboiXEPlK2kq25tgeaVS0dguAfGGKs2QAxqyMrbpbThANCFgtKN5PbecsOsiXE3atqNgAww9S4pmVYjB06Wupmiq9ZXkF+ZWyVASXLAbVYsM9vkp2bcgowbRJtXGqX6ZpMgpq63LzWrIhCzub8/5Z0dI7TYVuE0wR1i5r1Tm2pXqT/84989/mm+fj2lqqZPnZe/f/n1NRjgIHNpXrnPVTOeo4FZO12NRr2MhYAAwLPp0WPD9XDJTbTJbVfyHFdMHCCWaaJy3I5hdMrkaEGXJXNgR98D+Q21ZYVlvW3HQdCV9HFG/wkGAEwbmDIlq60vu4CwhMO9oGk8hHV2jSeP4YK70IbH5OjhmgazkRnfgWJ3KpPw7LHOul1M4AF5Aety+Um6y6Qku90m31Q6Cq7is4/kQi5Z3ZV+kvdqsrGDfEZCeRIW7nTXSIzRLiCuancXEW+y4rZlziDC3LYRMMUyVZc7gwK2vC040p5QxrHFQXvd7/U4pw6onbGLVUCiKrxu/Ks7mLXJvIEcnth56twjcnSrn92GoOyjmoEzk04SKDwnEQbauEwKySM81rGxI63SMyBD7QSOZR8DOqTxCrWQabWiNj+DRGyPpZlerEDXHLInXSzd5aJqNSlZviWS7Wh5FvTDmIJKCQjOLptZFSSJIznuq8jbdx4SN+HGdfaVgiqiRA1ttKLcAbxyainTkwfCrJAJNYqxs6ya2bNN210FBompPEo25JFWGrykfcs1s2KwmRWciiaKH0+brGfdom+4JILJ9hoiMlHaAGdgyOaUeUMotzpIuhgtnFkDbOxIGGgGCs6oNBpO+FWu00yC0PgIrx1WZYPnFak5JAcQ0ay12ojrWjjm4DguEp+BBc1cFUGWaOi93NZlkbPnxK4MNSFOp4EjtDZPM66dcE0es2hFcSRNVDrSDKJ4AieX3xIy6TZz2srLoudBq1CF7ipImSJ25MTLJZpIOS3SkyxYsE3DFuw8e/1lgHamlE1j7+OytqO7LOUDPkHzgrcZJE7gfhtqOkmj3Fkdiso6+W5ax1z0pkydgqgd02jWnq9jwCVF5ZXKDHYySZ3sUG+VsnI9i6Qn7Upwxmsi2gx3cLdnLZ9gJJ8rVbEGx3XGn9/x9fLvv//++uJ89u9fv/70z/jn//3f9o9V56PQY5luf7AVcLc2Y35rSDJNxyKafHv/mYOaC5aRc4FBwKF2yT8WHIDjJLyvCTg5crnVg/WaK7cgwYryBlHg7TZmbgbvJkW2dXBT0m6UU01rMc1Exm1voNuA7rurv1J4M6hlTCwrOdJWO70yqMiAUgwnIil3agYR4CYr+56zvrs8OqZaRaND7y1GfSCIG0lmBJJxhHbloRZeTqUWunfbK/8VrbErpZffUuo6Xp6iAES8UyqUsq2ChezaBXGb0e2tsBObUuowYvoVf13l/crSFuLLU1jZMYTdBnFp5f5bETyxH70zsWDBbi+hn/9nE325HReC7AG9MNMW1UHmMu1s8fxtELzF993ieOA8LMJrFDKim0kVTTuJO2C6wVQZpWC391Us5IBrXYnU9eaWRw0ZWr1zR6a3Hq/yM1SpCNSDLeAXethPmAOugb2C07jkTeXnBGhlmASGtWFuODoWlYqsg4gQrm7rs5r3Mvdkt9PAgtrAGsCbvBWQNl2Bd3dccXjzlmFXFOQtL+EkBsGZ1Qo7gYGbsfaA+Nbffvrh2y8f/njVeRoeEtTnl74+zzlKfMhrZg7iJ9J51WYfIv1KRbmAQpyyA7veyz+rhyQyIXXgqJksy6ODyc/yPmG78naKRmV8/KZhXe6uVrXoSRNc207UIh6RpWxPvzvTVyC/yHzYGpn29qBR1y015G0eICQtSyNXr0XYtkpVtcwGkMFutV1hGWZxUbGAIbCTRXltC8zNnc/wUHYz2a1cI0UIns6nTsNiJu24CK3piFzzV+LC3YE0QhwmbCE9ZGRGydO/y5TqjWszw67mKqxaR2AvPrc3D8FCV+HG5mIPa17zobATn7l3WIaareKpKl3ejm9hnBBZGrl1RtivI7RwFahBM6J8raUiGKDA5kxAp4AqwSXzdAYzKWkx4Cb4wcYQnMkUpRpefPxSCOwAHxKXD0XoSRIhMXw5S2+PlDIn9pugn6QrA71XDBsrFyuz3iO5DY/APamXC71QVEeDBabqgZqR6GlZXwSwX8DPiH7IVWBAd1zsCU7MI69qpRuFmWUsqIn7fNkir1IeAPBGsuEeA9wNnhkCTqtnbeUCeowRI75NgTAYUitYhZNVz+h1ASmpsLENciMNI3pc94au72ZnpAMKo6d1n+XpSbNFmAiVz/boub4GHgHiKwJx6QW8qBnNaA40PsG6JM5ZszBUHS17FM3YkdUDnXMSc3o84ivms81ZD5obNw0NYOrC0vWk4M9ijOohLu6w/W2iMLSeXMkEqzHO6RWwg0O5cOTXnixlcqzFCJFslkzTkOXxDJQW2lFP3Bt/2fTMnQ/4yC15wnnODg4tZ5zUcnSJUMTN2Nivy0zQKwVSJm/hjSn0A1QD72mKUc2ZqJ6d5B0rkJ1hHqAHXa3F3GyYMxv7DvhGZAY/XDJk7BnwoVsAJI/RDbqaQXs6nzzPKD+EtQKCOPCiZ62uv6oCFtKMt3XvlBCnWvzW4MGoRmc+5/v3+f6bXl/1+dvr1G//3b/8/bd//HbOq9XdUA0qYUJNiOggngs9S2DGosGzzWBqty3TDGc/Ji/AxOKhUIKtxEFyQjfJmI5IFAbKrmdlChFuRIQYJ1P+fFYfL8CcJs73eXc2LUgiTqm9U7dMqS3ZhFUPAk6GUX4fto6VAfbNVdtpYQ5lkd0bnX9lhsvSSItj/YEcM/dIXtaStDm6FHdQRiRws8qiQeXKQ0JQY4u2nGtcpBlQnFo31WR/BdI2JB+e4+zgFQtFNzjYNNn94aFV8ywIbFxYTuHU/6FOcFdbrszwgaTrZpFE3/T2khYj8YPBxQ0VRLO2cCSuGzSoYkX4YBD1JBnxSq8SnHV/xLYb6TzX2Os87Cu9CFqVv7RdfehJPKz89qiTMfCsCN0EklRtGpXgijDN3nN925XLkYK5pIRCreuEjJJry9Lc1ckErUsURQrEQnuUAo+1KW4A6d4IxJilAdSlUu7y6+ssBlBZbikkL336x4FU28Q687OxMi04EynNuwUCgJGgPEJu0pSum5tSSWq/PVMCblaAl2bjCi4y03U3Ff4IbQHhqubCa1YkFmzg46fn24/fPuvTZhc/nlpK5IU1m558Dnk0uUCO8sW90Rc5mgJOFwuAIpzza8VGGqdyDDjBqq7kzUbEkBspx8ne/xvuKcPoiI+TdzwOnO/ty5mgNvrJOZ6KOa8M0bKD6CDnvP1vcn1XJbOgVBZsPkbc3AH1N/OkZpLAmD2eAeI3atRbyGGzIGGllQjp2khuN0wy7LT+qAvLMZZym5wVfPH2uVzwoADXE42oO/mc/KucpSTv8MKEXq4nA5HX+IR91klVB2bKWIfxGqZ9a0leoh6LuiUID28+lwYLw4yTX0Ak/5HuTVk78QV/dAUEN7yDvGFBLTOAra/1cTu2635fETqOHYopYyhYuPcwokmKXqQUOuT6VrOJdVYOFOVD1kpF3gAmOxZVYxrVXik/triBVOPtbBBjksCdFI2hEoC9jvC9Zi/xWgvyj9V0WdK4mMgwXzzB637H9n8kekWdeBzMC/RJr51euH0b1iI00BEwq+H5Y2ziBkcaXEmj3corjhTAtoNg5vVX0t/EkXw00otDH3pw5NeBfLJqzmTaR3mAjaoUxjsVxHBGsE+yJLK0hJgzqIOlcMOBJ42kgimnYkXCWwN75/J4rWE3dEr6lmp5ZYqCrw8XPvJrJBEjGEPJc2hrzsTDKXtEHGPGESTq3jYLGI4wFl+Y2XdSskdIqIDCAKNg3nkJhenJE20sjuHUZ/StNKCT/gnZyHm15UlNBQp+TZ4oI6k8NuxzBEszMydXWTnxFULOPtkjgSyW6iE3SyxkucEjX+lV762MoGoBmZjD60JW9FsIGHb03e4voerQFgSVsbeO3wqUq9IV+ErWa6uRFqxTrPJMaW/dPWNur5TjMntZpKB3dn4tNh12AoujkqIm51ZOICU8C1jUKahS50rf8eleV4KxzJNxGRDXLbQAOfRzdHu0y6xMRcMkR0yv5/PTX1/47bfz+bs+v77+8vX7T//87c//4Uf+iK5qfTyo4qnRyoUzp5orCszFkrIj7uQMPURCi5KCSd1688Y/IzKFxMRcJekCo1BENit96OU682dV4M5odhr2oNmLUhvREbyHOgSqSaQhsBaiDfnAmyS4SNhfEUk2MkXYd8RCUPWNMEMkrYwUojLbKj8h1OlF+7yVAqkUZAGnbG72SlnEVj4HXiX3jtVAZlV4D6TLJ1FYYDBP8h2Op0uQJMQs4MxkOToYRk78JfAUijXa2XyfqtsxXSlcZsGvHmBr7a3KvSvB3O9TdVczWZ4QAnGAOLqLoJDmFvdZ6NjpBY7Kdjv2/TBpTjxj1nvsqfWGmzOecAFqrkYhmgHQijsbtx7jVgBpTFgBS9LObjlK3G4iCinAO+jsqhLSA8CG3b4n1d4NzpoK+e0FH71fLAVOPopkKU6iaDZ2OENlZxhmX9rEmFXjLEYYyWVWJIPUiMT4Kmuhd32UMjLrPNKnyMGWl8l/B4+uTmcl+I6PD8Ipkkt41J5DIACpl2hMimzl7xpaG/92NuG6tIKijKrgbTPNHdseT2waAulDz0+NH0vTJZkiNefM5+v1NTgcCRPpg5BNsJ3IFaOgCUvqGMfvqZIDlj3h8clahCrbWMnms8PfJAKhmLQVDFY4ze1jl38qK5axpJ5eLCGQfXA5462VKqOq2BHZjHNOF8sKsRTb5pJWO+uSt2+4ZlNCWPmo17O4ANFCYGXCJxfj0G7b0eivZ4fc8XjZKzAnMoktiwSj2vXkSu5t+2tvRsyyjhuFMHkG+xIaQFcl6YGoW0KQ8ASkDYCWNgKb2JmZ4CnsiczUqM16yCYXULWTbTOZKlFN6YaUvIZ13MWNWTVFC6zrpkCezkrI86ki6jEANObt0/QKgDxjnfJJXW1HybEXTY7ZmEGLpmc1S/nOkZ8TQgfAUN0yOgB4pMIFkCppcksF3QG4QWnhqlOFFljlG19x+aFcDl5bXhERsaKC3mEhrWa5BwBYbmghC2a/F6tTAdWWwTkzbNLidMamJXpkGV8ceCrqUd6cBNsWnZl5jKY1HSiM8waDxrFWgMxzWjQJEMwxQWDsKQ2Y/FMDwkvtVxrM5ClpcBxCWXoNRzgnrfJYczSelLQe15kZcQbnICSDnfawucgi0m+EQlXtMJWoWtPFpUtZdJXqHq313HvbcF+gNGB5bLOUsC9E3CRWHKtHcwS67e1bzoGk0WhGwLBmag5d0OkZCT5g1AeDKbU14/WGeUDVKCm8eVnbedh4BR5BfACdVuHkVsuQQnuD0bw8UyQUx8BmDe1sCjgnMWSOcdQSX1884xG+Xvo6dTKLD8TKWElCmEhGtvkSVZGGlFiFsOsSUEy4ZqI8oM1iNqE7y9sAYzjhJQfxdmCEM72xhunvlrXmjiVzYwm55SGLPAD7wzcpw86OSVBHIkiWL3mu+RLtbnUit+AL+6xadz+bZ9c1Vz2w+GjOhUrByUPOnUow4ApYOkr41fguRENmyhkcWNNQAqGuHRpwB8sxx3wdff3ur1/9+f18fn19fap//PbP/9Pf4d/pPEPj6ec84+7cchExME9XCS1NTY9arX5aqphp0uXsCfkGEZhXH3uq7t4x4Fo7S4pHbbVz0S+oA2iu+Ng5oOrNYKXkgu5vZmqxHGVAJzmBWhTSvlJ3JqDL+/DzQUOgsiooHNYj9ofGlURG29zCdpntLaEtFprL0lZgYXvDurmBE5mnm8x1bjKz61IaRLIeCVcGW2tRki3Uol/hW/YWW2xy13hhp0WT8nhcEhGe/Mpa11mhlb1MPIT5YrlmDcT5la0RmIkJ27597354B/PVH6UzU9LVm+e90oZ7qWsbPAv36koMFh2CaVAVrmU/FfNStoPa/fIHL5GP4MhURK44rVBdrKrGDopmh0VcfmkvnAwxrDQvNrx5MViSOIgyZnP2/ngEsexjeTqiPKkjFmRKGMosEpHvkRbfNDBsZtyJBDuTidLPXkwqCEJ8NPmcKbJ3tLVvoYTtqAE5qRZ7G4VicrJCcOvh20FHD+sYW1M/aNdPIdiDox7YtuOqiCIo4F2/gCOHFXTLBLjWpyl3gcPr7sF6ddLqozMZ76f6+HOrkmdiugst4/Xp8KV1cAwfn0/ryx7pjGy4nPAdDYxSe2Yu6SKtEmodiAQpDT3Jm5JsDEql+KwT9STulOMAICHjbs+5q/cPxi/aigzxvsLgCLZAd8QqoUzLiJsyj0gREu6wn8S8qU8S/7RArTMSxunGhnRw40xVVYdru2A46bsvbHENdBuvn34gndFW1knTws78CB7r07EQ5aYrgihtLIRicfNtUpyyfl2+OKG+uKXwSt6wdogqJagAaS7pqsow8fCF3GTBvKklrhYQAQw9jVCL6Z3tIjt6Ur+d8QFiap+HZbg20TEjHtJDqxI/IU4EcgFu8jDHsprnmtqFJI3sKITseQPFUEKZ54u4lYzZwINZLNCGa+Li+0oZ8zqQlCD78GjpcNJkpmeLzjgTHk1NdVXJHO1020RHRAIEX0ZBkid6lL3hzFbXxRPQvhZyVkGYSek0cLGZwX66wRCRNAGu+DJXL2s7MllEfeu/ilzYy6UuGJhKAHu35kPM9TKpcistgqcEOygzBM+W4LLRmqiGUg7IGD1aXoCwJ77KoyN8HRs1wjk85sBy7ciFyLFn3eIJiR/hwCUk2nJDzFL6h5oXZBRwgrhANs7k/k+UQaX2H51cFDMws4SEjdiPKftYNMcqWaMzydHMFTOVRm+QoORaEGbz7tJRLRIS5I/kO103W5GAx0cz0hSUubjwaC99lxR1vmKwiaiFzuFoURYwiTwWRE9gmLnn/UBiHAjj+RoN8Bp8vvxlTVhAtyRxDZ4OGUFUOQHqXPEtYXQZHeEZaYwxt6xA0OJUs6sanL3CjYj9tB4K1Wo+uciIdvWZcmWQS3ByyHbxcWzrKckL9CRzzqWD/drDc7wFuzedXkFu03brhYqai1DRrWPGN+41HlmBIyJWol0BSrzNh5HOREvJEq6SqTW9G5lUQtI8OdlybdmL+ubsNAtSjAnxjdtH4Nenf/96/f7b6/wO/fYiX//wP/z88z/TH58Pvum0qQXXWNiuo1aogk04tVJyFdzFIe0b7YutEpauCZ7vBH1Zt8LI4IB3IlUVGsFZwXvn+AoGvMUaO2fL9pOrY0hJ9I47pK8k8U5+JbZdTIMXnlXa5VHlzJyJtSEHE3ChtwQw2TtFaIuyeDCYuL3N7Q3sfzNC2ll5zdt2AlxJSsaQLaYNrLBDN6shcK72iFmSx9Bs6ueVsSeu1YtWRBVrXWofEVcttRa77zj6+4fvhxVoyG8MKTyFYLIbctK7UwSFKssrZWG3JBq2tJ1Z9scVIWHX4eXnj9VAslADlqce40dF3hhPVXYhOlmleH8u0HZ1AeTac6Lo2z8jgu4FHmNfzJt0Vh7GYASl2ComIE44w7y3SpaA0a6pYV2eiHcwgi/EF8wojCw0ZgffANBZ5ynYvc+vrg0EF1E/MxGu7wKyNqsGt8/bfPTN4b5tLu4nwhi9s/VQpM8OyKtcEnUH8XRB1k7B8D22YLDK6Tyy1aK8hQcubNOf7wuzgoG/n0KS5OSrKVo1dv5HhBqIkatAYFiMu6dh+CEG9RQb1MdP9fxMY+bUR7uflvz6wvfz+jrnJZ9jW3MWisuJuSLzbiewZIw2kLTE5N3vo86sOtt2kaJ72hjSOsQscpMPXsZEqrez1ZjE7GQbDCbizJUob7FLSkInc/HyRzDYkwtJTLSKLTSv4meNSzEFwQ6Bu1o+wO68EC1ynkzMN/CO3LPFrkgTqq4mSeUK1sRtIc2iIcYtFJtx3FRZqIp+oxAmiFGCW56qDuelimJ4NeKbgr8/2iRgvXbvuVCo2QwQ7L10AkklLwntWdNxQOFZLvAt/GxQ2wStbnKh13Tc+ZVEScNOg7o22t14OdJIYdLaFelhdW7USm6+9So+gTOywQtAR2pEDFgc7NFISFRjwwFn694gi3VWfeujt18xkSnFt5ZxDDwsebnRFBWqqpzDbm1mdUzhmPTkWBIlWzfKKoK0NzTubtBCTrawBI1HM2Z3RVGlfBEv3qanNCpx0QMknkWLly1PqEoI2GYQZs/BYrt3oG/UlOWEr5M4ctfNZwkjYwCbM5vrJN9qs554ujKOozNvJIR+pKOVQUwihUlRWtoDKc+tqtLaSCRGKPOYJaEF5+vjqfqKkoSA9QBnSLqqvxwQimdcPED8gRlGpwLUYNb1yysynzzLdH2QVHiS08NiEuAnrvDapbraQV3GJWJ5Q4P1kiQuSBt4EYXB6trcQPK0UDuokACtDowxBCxPCiBMmQeuGmJzxUBWAAfnXE+Cw3FCURdcTdsyBs33KYeE+MYGkXNFkPE6x1WdwU10SeJYT3eb3eMpVchl3DlGvgkGJOEDb9QZA152bZJSchjBKkiHK9BQLYh/NxXK1ssCq9bjmGO5yJmVhEbIDUdmG2hDxyhOswI9l0ky3bnP5mMn0QBranCme9A1y7EwRzbJ9QYEPXRAiZxX8VoykktG7IUMevdWSeaMCXZhzpBl8cGjGCK8nfKVhkBtqGi/X2gBGsSEGMK1RJW7bJ3D5/sXPn8/n1/18au+fvm3n//xH//03//83/4f/+WXV59PqdX1JPImxIdX42JYrI6KxbCFYjLjgFT4Xl8JAwakUsylurNikwiQ2yjsRkQzIHqJ3C3BmawFmkiY5mKPqxT3FVpEdsx7EpbNlV+qFnu6HIklv6Pcl+Da4mRpIWDP1qBYnPAFsrIkVi623WRutdVBKxZvesA+ocvgMCgA8+q9qhJcYx14+5jkpqHIs1UeOeGbAMJVjy/oc/sgGnYi3LPw6orE7yvgHwH/YsT7STBc9doWmjQz1SRyk23EMjaDrCh9/ZSbi/3BL6RyJRnHGS5Sd0EfkKWJnIyeVUYByHHicASVEaS1gaJcYU8QZ/AKPFhusrfFmDyK9Wll0lxMflEHof9oDpRTWjCw9m0GLzcMzsXFl9YgsqMx3PoxZXdYhqC48eeVDU5cL/04Q3e3ONv3ZkFjjTRJfOOODWaawdVLRDEcd7EM6fpaFtgFcBXEiQox4b0hshxKEIR6iptsmRCzgElpivr6H7eHBtoL0KaMC5bm9RukJ4xlfEt631AAbHeSRp8SpXjDtXu3GblZs5DATaXXYuDfpfagjhHqz4U/4fCUY+eDdDSDL/Swv2jTL62yR7NFpdenmYrShifplsRQIN+AdSb00ILykWP/EJIQMr2wfUeBXTb4ZOMW2niSvB92r4ho7hFXrlWMs6C3ZY1nlUWfsAjRZN7KvfbUvxZzqpJsBau6xEGxSrEqTwqnzMiohfNTBReSSbXYPxzO1GS8PSjHzMQQijQDVjpVpWunpYpenc0f4S6reOGTXp4Xp81+iJot4W3YEiFWF9dkkwnuDV+wNAL8nIBEUbNkxO3bDosaLoYT1RzGqZCCVwd/Cn0CQ07sjn1YZdSUxT+shUAdWX2nOduMrrhwbPrOt5oqPEYvJq5tMebIivvWM2mmojtIKR+EKhqY2sI+gVFI2wLZNbDPCeiUpBBWL6qTWawr0is8xEJIENrh0tysrupC38CLUqStB2Z0KsQOUasM27yaL6jsy682JqEirnpQnCqDtBvLl4ADuFziqDaUIM1ZiqekCVDA5LYRYAqzMAWT0EVuBim/8VndZNk4zHHNXHjLI5yOwzboXKVEHY88qWPlqHPl0gnaQZQH8VZEyRNOL38HVmQwqpeVNHn7I8sYE1uKYOArtW738vBTeCIbH+CYx6XxGGe4iQ0qffkkvFLXoGZhB1tsYW8r+d0hiQrojLPXYod7sLtgzoEy6yvsFJ6jSvGlfnLqJ34gB2Buexo6m+xUy+NdFYqeWsUFoY5vhmIsgQOck7CkyrUvU87rzsaCDI1neV7tJSCJmsGoP+Wv8XnNEWYgtgavGC8HOs/X8Az0yjgLkF0rHekBV8S8emDAzMzunEIFPuVKlAEOlokGwC6zELtQZNCKo/3e1QXCWcrpjcj283TI2C5Xufmsw5foruoVohkC6gBOwOxQ9lgZB+lXJKOE+q2Yyk1W1CZ+BLjwtgq50WUPHa/TSAA4UgQuJmJtDHlF1lOkpemnySYrf2PFNRmFHWr1AVfSVeu9CqP7bhmhWiRufIrzDar5ql8/6/uv/nr98NsZ/u35x//pzz/8iXYmnw1yHeikGvaaXeEdQ5csnVtsJ9RzA7GYuMqgYvlPAateIAFmaDrAHvBtsSfomcl7hrdkDwQch9ythW5PkWyNx6T5wA9Q5YxrvChRzV4qutklqwInqisy5+go01x7se26GgZHAkcUn/gRzLe5NBNi8mE9XD+E7bYTGJIy7zoaUtzWckwJBlmt69ZUTGzYhgt1cFsT0cinV6yk5NQq41M7RIgHLvNHIlEVLgi9XEgBHpR3xFQ0vcYk42eRnoWsQ6ZiaYzUFgXMaJxpPkCyaWHa4or00mDr3tNBJLdVWjfajZlIkcUbMox45P5A+AybdK8NmPSsSGhJ5J2ElGJrSZauFTg6sz1yOe8U1RgATBNdeREEiRBLW+sbdG19visES0tcx4LjPPJmvBe7IgIyGpX0mlghtyyofbYECF3pV10qfEn5lPK1eueIMKXwZRXBvEPFtVJ/rUzC8JPkqHTGcbnITwJntiVK4ULv0lg7vFe8Ven2iuncTCNTb6U3PyIC9yIwYFrgyIo1zBvsnqL8ogLOA1BAa+6sYqb7JMBqN/GNz08fL+hIPU8XWJ6Xztfo6Lw4Gpw5h1EYE9aYy3x7FRNvtzPtBDzbyHTJHN/5xhYTvR0tx+gcn/X/IRp5wuaD1Vf2OOf2LQ0LQgWUJSyiexfmBC+SVyxsUZSLkzAnQhld7goxK0aLnWaaCc4ZtBqC5iqxtPspTbPrNpaRVkQUxktxkARmU4VqQ2m4sUWGLBdigM6dwWiFQQgsNSmX7rFkxtjjvapXadNcqBgGD61MZO6EtnDd6KQdbSyfZnKpKzRj2hKCNZUrZ4LlZmMw3XFZfyVzw0aYKX0QedIHdxsWVK5aCCeYzerzc5TnZODK6blcgQo1IjKOkrqki7O5gNlhVCJmbthY1pEdY0oEKlJCecrCkOWiS6L1lMjjNTvbr0VaHE19RWYFO0gsQmrXu8yr8E9P1cOu4kfcWyuUIEoT1h2ZbopoyzBhZfeInEQkoBDiZ1PjmBSUYkmIZMrkRw1iJ11mal+L5Q2mDwoAw7HfrI0m7Aep9RG9BFdX91PNhyvGqtAb7OrqKA5S/3H2JlbLQF5gMM8Q8O1rzTGdgvhiatH0xaaNyZBlLmRLTyy4SuS3BmfyZRDvrCJ/8YxfozMzmNEcI8NHNNALq6ShdEBhIxiPACdycyzo7IW3qgIFsW5PmLYVNszBjF6jGJIlvEZzcM74DHTGOOdK2s8eZBEfyRxh1agElDvIbHygOhmweBD7rmL/tYyzql8paXY5BzXE5oANZ+uBImbHOjlebmOE1/jr9aWXztFIx3M8by+MRuP58gvjr9e8JEl16FdUWpbeuux2RN4bebByA0xSXFWbu0V3vFi4kWpsch1rb5Ppto/M1QYsfpe1r8u+hf8w59l4D+zyuYBYXH8U4qqX3H44masROdBkx1OVNomOQAoQPdIk0TWyuB25ggO4fZSKEazIeCOrsV2x/4Int8xTarytfMvexxaQmimU4ApCovnnwhK+NKkvzhYE3SPzJX/95fX528yXP79///37X/7+n//mT//0Jz3T33ozn/Cqp1dLAjTKZtWTa+gtT5+glKGnF7wkprBjv3MiRRG1Q1d4667sZwfcgdRMKH5w4wuj3QAZr9eOe/hmraQuDeHKNDvcCha54szA8nj07ITonLQrmoIdBx6KUb1ngUzi+8KPMoLcWglUaku5LE2O/uA2AhIGh7QSe59lMlmHmES0oarbWwTQCYGZwgresHB4p3bZqI3KSAG8TO/VaGZJqBZSQgBvRTTkAVI9B51mYRtKPxfNJLdOBrj2jqgWk0UMZXp86t+C4/pfZhjJPy6sCjKEzh9x6QHLIrb03ZhpfK5q6Eo1RjfiYNHSSfuseBYD2vA2O/euynLfTkPbWSxmvXWucmdtH+tjDxJFCaVwXFokAMj4HtLLQmytIibWKYtkB6JNITMi08Rgvx1uLqn6/790fh932ySlfg3NZd6zxSLwBNtVpfX2chNEJLnJ+wiWiLocWE7XioZzCZudjec/dsgE68n79rWp3+OliLNxFlplar5YTAnpLqPVRLHcYi6X9Bjh7TsnbNKdYzskq6qLjHdTH8LQ+LB/6DDePA9KjT7H+n58wp9wXiGMBOMEcd96CTWpAxb7S9sqpPo38ZCJnqeKJ6fuCxB9kp8zThRiYtfhRR5diFWzwtnqwjoxGbPgEeidACCls9mIYkYiGoMhWeG89sCB4wveNZrmshKj23cgYE7dRHlEIpA3YdsYVqSNZSBa2a0CrDHYEkwrEtJb39fWVF4sH0D5REBIEVJxHYoLBNYlPHPQcocIXIYvmqMiV9gp7IAph+PPczbhlXQ/C9jmHlwTR28upZJVO54yPF17e2kdR5nhiZwkpvWkKR8RaGVe5GKNad1pCu2NONdibZA09oimBsFKoQTzpnm3HPfpDgDiUqOzbirJ0HrwggGvrImpg2dSkto9o8mfqXClLII0BY3G1xUvMDMdERsDzKyeQlcZpanix0d9Y3176nn64YIeD7fuoRjdpugUWChrBmbvJwvajvLa0im1q0xVUHsa3BC9zdO1OSEbctsMDNfkKqVOWIRMmybHehKGhnGxWU/x21N/+un55c8//PSnb9/+3P1N4OtLX2fZzoX8MMFrmI514mlALgGMPZbkM3PsMWJCcDksMIZ+1V6MpCZy5Sw1WTygh/JOFZA+zhmfkLsJUa00vG3O+7oUk2mPlM7AWM7AMk+2l1ljcENboQGt2WBOWNYoQ8sCdx3bwLHn6MivY7upurLdNkqRAunlTVNZ6UU4jq7KDDdb1cCjlMlmbWhnW6ZY4+3lrkJaA77jQbjFSi2yHGlKMqrJcc3gy3hZL3nGLxtruqgzy3cANfIxY0eewxmema/XCf/9MmaSz6eqhkIELTR2LTVC7ljAlYiZ0DV/fO9spNL1jwGbiko9RUe8lv6SW20m5MuLk2x5lj7gcmhMPtMoYElYFF0CR2lLglnxPFv+eJeg1SvoAOFGZK8bZwv7gXKOK256rtcwte3JwnOGYWieFTA6Mvcqw755GSxUAktWY33tDuns4dt3hkzKPT3wsU9J5Rkej/j9+/n8y+vrU395/fY3f//zn/7Dn79+PCQ5T6B8XxPjqoKDoAx9UxDzOFbqf6LJKbCja3Jk9vmeKy9NnbVq8ZxRqRjt0CYLxHqhoFt8WXULpgW89uWm/F2hi2mnNAsNS6PYgbkCgqX6i5eCxVAvidyWF7DnBcWiO4nU5qp9cor6bFd/xfaGdX9RLj4SCN5TnkRvCLLWPAWEIVGGputeh1sXZ6OntAuMVjGC7SHJZX3YiKiQceoZdnSrWIE6gMRzUPe3JKMQ1+G0PzYaY76Vf3W1Wxsmd3Uf+egrcKlVvPsOUVghljzlDlhYYG/kazp4ryGfVEbZFe6u3qrpLiyEVKV3YPfbvXsHaxu6HWLCPiJuYVrFRzq87dH+ApmJXulALhkOMwShxd46h+ylEvMVKinhmcHZrGEu9Ccu/33ArEQ1LRuysP6TVMPkyHdleDWjRgqYGiiu45xIyWhyE7Vhv9+cUJZqWb3LhUXBTwMWh0JVoGDXRqVtKPryyxV3e57UrvX9keGqh/muSSPixaCrtofI7w4blxKDFCm5H+YbubGf352CZ4vdrJbdOA/jE/vh55+ej375O2Q2++nX0eulMxzxHM1LLtTheGLjUmS3STF1WUd4njaqKutz5aWBRIoU91aGW2DJkg8OF9/dN7QLjfRoSCCQfEdZsxv4soZEr7mr7gGSErIK65gJ8FSEhPaO91h4g4aLNZzacD6wfFadX7Qko1gzLgzIFUyn7U9jW5mQripEtXZxR7IiqbxH04Y/5oRT0gdiK9RljZtKDkrGOuQiyctP0DQra5mcMFhqABqhN30hlSyLdefxpWRMUDDlw7uPNWAD5rHRsJ6QrI2yV56fxiBWt1pL1tTO7uLoCnvTFuUMsOwGZ4OnuM8pp6QSC1IlomQ/djUTV1CbiMRVm4vDKdSxMjLPYFWESRGhZdpQMWVIHDdhv2s8Wa9r4ypCFqN4jzHNhc2j9p54KOZYfLYqMjdUguTHUwNw+DTomgcfnhmLpxWJHTvrQ86kXl7ofNu0kAZlsUocTAX88SwwnrrIQC0YyiIP3SJ67I0KWqYeiMDYnCgChClUv2a6+EM/Hw8+mj/82D9/a/zAjy6TGJwzf/n1+++/6bx87HbN40fbNzSwdWHEZcalo/kA51F7DRh7iA0Te+Nq3/AhH3tJ24TAE4KPTlUw7T0QFQihYI4DY+VHMllTqQosH+upD2EwYsE4mC5wSkQPbGHycg3DL1luBwdASYcuHWewlIEZfR1fZ4LOmENkMFijxMA91aSlrE4HRgrqC9EPWNVoPHj84LG/Dr4VzojF0nHVTCwdGcQacmkbo1wnMd4YG8S3LFe8wimU16l+QMIQH6wOu2TRtU6NmDtA2F9CNa3y5+fpj2+F+RjEwRB3S+QLBApnp/iKbQvPCv+IdLQx8HGvcBrsSt5EUsdgG3EkvZpPVPC5ysruasf1fucmGkF5d/rN+KL1Vf4SgTmppYbqF5i+nUPByIhuh0juYK18oBMhflwalNHu4VSUXemei+Gqco2aq53fAe5di0eQVTU6HTYyIpPcMlslVhFncmkMFOHKgIj91xxXw6oqc8hGS9aH+9g1+O03/PK7fnrV129f+rvPf/of//y//h//3xz/7J9e0SaJH2VpEe1CA9qhsAZdc6u9W/DSY9Ps3Lu85v8b95Kqd2tbrO/avh0ApQtU8o8yWgGplLPAIICJIVhR12xySeKqeu+5aHO0TVnYzsRtpwINk96p8LbE3wZureBpQYJ3LrRn0ONyjfAkQGMgoDtKMZhvzwPW7yw3YrTLpoO3deEKrT3VlZaQqf868a3L8GCdFd7OSU4e86Lc8pbjaQffVP7uCe/dCwBoESU9QSJjHKihOIVOlZly0mEFKtj8inu25N8HlnpOt6labB65EdkubcGfS6f/eBXx9wHqJKL7zdlsWUXQKHPgsuVSkUhrnjYvReYawc0duyTW1ipy4Z0XSsuOhQTgZASEbPR4Og02Hd3DHjGO1yyblJV+qlwhH06mem1maBZuVBwuNHt8jW45EI3F/uJ7DDv/+FmuY6Pm3EsThLPJNtMKF+B4LN9dLEGsj8VVWSO3rFRc/2uxh1YolT1agOUOdxEv595y5RqoFPxsL8hIS5Rflcze2DtyiGI5rgeY6hWB9BIkCdOBqnrSxpFUIuPd94m6HtZP1R/+9aUe9gc1Jb3O6Aw+Pz+VyO1je5YEJMmZNJFXIvA0BJfD+m+SXRMTsZwpzerTMktoNOtiY06SnfOCRes3yUobQ8awbzmGL38V318+APNv1m2Uzq7llOEDVu/qznkeBSVMYWJVCGCABFJtC54DlqiMPFzsYJ35DLRCTeQRfJJDmxYsPNpybOntJ7WVgjGluYRX6gJCG87KilwuB4sfR26b/q12yrIlNqjOeatV2ZQ9jc0Y6ox7zDeF1h6sP1hgl1HdWOVHe1veGJeg6kudsuKicwCEPZ7f2WaLT0QlB/Hs/WNUit/0Cs5zr7zGSlNtrRZ1O1752qbdLgUAQdCDxHlUOxIdJW1aykl0JOpRHGCTkNE9HQRwhNqg7CR2LTARhCLlXamw+KQJUFUhNfHkJGcROFIVil3yi3iMFzmb0RgVQNZyGxOlWow5SPJMrcGnOEa9PAUUWsl/CrTV5cmh0iSpBKifyCsX+sKpEOcVNWHyPQaoj6ofHv70S/3NLz/+6Zfn7375MNDfkkEFvfyX35//+q/nv/7Xz99ORl4xUz3iBk6DNEALeOdIS8rdD6cw1YidMhTEM157K4QpFqyhIVZ5MssFcm6new8MR8LTGv9cpsoxtzsEGxyth0ByYiIv1kHwV9sTCfhX8GzPmhQLId9tqA9kAtHXkaOjsQY6Q1ZSlyBf534VMeJHIDpN0nwh7e8Xc2A8scaNowl7WIS//cCHkFsq82NemNYXdL6el07W5BhNFFov1yMwU9XykF30yXGUvhIUfDwGeygM4bPJumPRVdIAjzA2ypmYRr2smqn+sOsDehEFwU9RnhS1hNN3HVSxrBNMKs1oeMcCqjjSG58l0Ky4aqcUXFky/Eiuu1Fjf9wZ1bgde+EBrM6IetOReyi6atYcwDV2uYl68EpUwdhCgwdaSjE0P8szNpAoVide2QVPszbpOUj4oKqFOwsgnBz/qpTaE8eWm0gjGsLdBM7KNaKxf6qFpM3mXuP+NK9Mx4SO/HQBeLG/cau0nvnS97/w9esvP/5cn59ff/Mff/zb//TxX/7L54/zEx/2AepwCoDq9HBwEp+R4iORNYtAhm5F7qSSVNjpk3ijoVf7s/VjohR12wTwtvxwQAZH3Jhur9C2zKZgTyNciOnaAmgBrkSdRBi8lbyXGQGsYNm5LBJRmALZHVVTQnK38uHVTzJQDQCk30Mx9b5BNKlJAmVlXjnEfnYuhIsdUfB2FpeniQaU3HTxXGGrk9Ea/fK8EOl06MlIP3L4RebvHPWiYW1qyQrcJReV4DuaUe9UP6ydm54c/3DxzNgn8I0UeW0dfJeXFbgECFKxSpy8fRZGZGUE84p7NoXVYZIoc9RIM5lacs3iIivp98EBoI6jbr3lIBlEcoW9t7c0Uye/sYg8Q/imZcRZsLCf8fStetKRaVZmWgQ0cswh85YeLznMik42d2NQeshEzWrThCqXFqJJCZnjKi9dDtppqhwUkVfBtj6oYVJtvL0ANeqqNJLX++IiJ1EVy67lWDNgzKojvaeJXXXHbwd7LOuJa9B8T95e22AyEBZuW84mNElwiskALIA2qnlnE+h412PWpWIIZGQysIb1gcroAaO5SUwqf0APn58/Dqij6q6Ho/LX4FM6R8eaMy9K0CwHMXL5gV9gR1BvEyN2S+qO/rm4a9Crlst+MYo9ShiohCQ/WDgEJPfWnrSGZdaz2pec4QUEeoj3duWbVOr/dX+XvXp71BvXmHbZqqbBD+AsToBsh5Tk8hpFU+Sk00dVTAvb/W1tW6kOtSAJgHFYMNe6Y7INcrwArHQssWQhnUFuBOY4fsB9nL47AGgzUzQSS4iQEwyQb3MtQGl4pGQGkC7V+h0XvVmUIpC26E7bMHC5YCkZ95HqbVgEZDyxM5rg2A27i/6DUc3yFqYzNQbYQ8BB0VnvBq3MdIWA5amqJO5kjHUVLa/yKCBWTor9gXBmTZdAzBQKhZnpZ/1pvmNDIWgpS1/wmTtc/Qye3jCm2VuqlsfD4gpRwFTT470v5fBCsuCnqsCjYfkB0d/8erlLc4qEn5TBhfFAeyYEm3iYRJaauCIlNzvRlzY4qA/aJU/OJQouBGB14NUIn97yyKwkLs2as6u/1Y9/+vjHv/3293/7w59+en76oVfpiiFbOt+en57yN83/8y/1qU9gqh6bATT7Rtao39Mph90JzPkQJ5HdOY5ewXg0Xos9InQZXBwsLxwQSlDjIghy1amqM6yaTLjfc+sVsJE6qRBmABzRj4gqe7JiNRim6Ovk5JbaHIlnBZSTaYUzU1QmjVk4tNmGfaYCjjhoS2ncuREhuXONAx3DPmpnXYp8QD4NuR+w+A2FDzzdZbB4ZPzgM5jR5w/4/rt+/zxnRJefHODQnXhOSYEpUrx4CbYz3kiIN0Qf0pj21E53M8aHfDiRx++5IwOqw6fOgPz2QB1y9bHFdN+sLdpmhGLDRxs+6azEdiZ5OWQIXWioPp5ncMhOR9OwlLfv0RD2E4EdF/paW89JgTqFcp0cB+GnAYBDaUOUrPNXLGf1mcDspINkUC26RXOn1nnBuE2Ly1BfEheFnOCd2pM8jFdq3RhWIulp4yDhy46LRWSbNu0zVTVeYXGty9tveYjyf3W3ZErzsYqP8Xqd/nh+/fz6299+8evj119//9s//fg3//7bf/0//9q/4sU1FEacVy6X2wksSCO0hyMX5wng6d3gKTjY6QCSULBn2kpFIgXHdgYVTeGCa7V3ReIKAGCkzn6OYiK3Sm63qEAYkcL6IPIq79mN9wXHBc3SlfjimEz3nWrel7lfYUogWfD2Aql3JuaqsLc0ZSiZawXCnVogsD6GAFlxjxW5tQGpRzxYIJ/+MJL2XKXVVfgOEOBkdXCl3IyiLdVA2I1ttsIi5Pp7P3EKBajSEj+ayNq2Tszdky5ai3gbgca2W0qPWgp8brNLGLiKbx6G6KvuvYDzTZULlZniN8TCAkgx/Ecwt9YPbu+rxJKk9reNZGrUQu05hrjMv1F/5Okx64Tprxs8KCjd342Acbiz2y7fsLCUt1IGa1tyIC0ivdfd+5Lu+0hyD5jRsqOQy64tOxDc1uRGiINj16wBcYpk23He5jZF4sJsoyq/Cin6iZ1I29xzgtvSpzwCOicT1wbDdyFnkkJhWB3rYu5wpiHZvUuDjMRQCSsxvCF376jXUPH7g0OhZrUBaRLTkjPHj29cW5oifxTFhzcwqVQ/FJ56SdTzUSzMa4iIQEIAAQAASURBVHBefh3N8YwxO5c8VwQS9yYZ3SoKepzCjS/1NybXl1F6F2m2I/oOqRIoMMgcIBU8rjZfy7bmPkTpfurg0QTJiajyqg3DskRLzj3Va6hCp8PLIxqhUdNZVKiMKIURLXmpTLjmuk3ex/kWzUphvxRBYArkcFpBOU2m4PyjcUuDsmfuHn0iyGmWxoUaqlFmYq24CkAWWQEAouSioUTFb8SazdW8kO9sJzvh6UE01p+f0V0yjGLUDZPwhyslIa+mqUyJ9VGJQ8Sa9tNbYxMIW7ODgxaCQeV4KWwUBTxEq1gaXKYVQX9hbOx8TQZM5bC4MFzIowKEIToqPY8jkdqHaC90GTiMsAhverwMTgKSEPQp8frAescSx49NIRXcuX2I1f17BZr1lEL4RpOIqiyXsMs55Wn2Q9vfvjWPp/h6qXN6JLu/Vi0TuXC26gYshykgneEICYogfcTHHRY1dHH6pRBXBANuQ60euuGltJNyaH6UwG/1jf0QPl9z+uvb8wAO/jOq/ulHmvP5WT9P6/ffzsZDu6skeXCA6qpMIMvJcqUAg6pM660qeRXUYTyjKtGYdnVtEn8WQTp4UfcKQg3csFBH7sCtPSW6qsoQxPg0scpaczAaCehyTYkqEWwBjubDOoaMgdttvzIPAmnXXZZfmBmbwETzpkzhdDzuG4gzhWeoj6x1Huc0BViYYT+IsuKjg7AKz/ORuXpPkfihJfYPwvj8OP3jN3777N9+e53XHKOwQ9YWa69nz4CFDmqG2b5mKXdoZrGncMjhaO9aV0+9yk9OgB0CVh7I7TrdD186/aJZH82F0tKm0rS/qkrI7APG3EC2aojUZgZRVWt4LQL19IdfdKac+okEXXT1NbEg2yQyQSQ5NRhK/9Xk1ym3/IWgomkXUiRe50H76HJIj2y6M0WF45ddi4N6lRPpQ8UIxJ1aJlVLojxy6brkeQL13owyu8pTyKTOgKxr7/CsOXpuRm7dqxUFq0BV0F2ebTIcb9gUYchHHyrxNb/351/m/Nvr9ZO+9+ef/9M//PCPv7/+P1ixw4gIoRgNtC85DlJ20UcIW5mcqSbOOsywPpym668kA7dYWDz15B98bbVbwUVmtCWZrCs9TpsRH9LKPCPOWiEZF+1fU2203OCS6k597omyP9KQ3KdL/JO4IdtalNNv8qIS6Jtk0DeQj1AOxW0uHa5SnMWyouaJBhHx5JBjAqfQgexpVmky1SnualYUOFEeDWV39VtEmgsPJ0oc5dSrjjNa93HevBlenY4utAZg0wxXGlDAOgWxwLE3gTW/ilGxg5i9hzZnyFHVMisr72hfEEFZ2wUBleCb2hoI18Y9Jw2xwxRACHiG1R16oUPZIaByHnnSlayEKL6Tu8ZqNxGRuSvbLf3xZ6OYW1ZmtTEcjJRWFLOXZr2JI+Mtx4mLAX1F8ayyYy0Mck5wJ2fvw0QQ6OSaFS5uBZSdoqVuetL2UFlly//QG02c2EeuAneRVmDfQ0zW6dcic710CMwJEFbECaaJkABsMUhzGDXTCTy8GQhiEhF44YZ3CB3TWwZFrq0xF6Wui8Ky2Oi0hMUk8slFPOYhH3z70/P8WBi2u/EBnnr59fqcl8+n/fIMRjwzOjtgx5nbNeA+Pu98RuJMTOYwrS4DQ016xhRthu2v2brG0RVvlhGTAJbCN7cbNjMn1YOr/R41t9uQ3AWWnyj3dccsQQAuLhpSKCI43zZtAzuZGy8CbG5xbCMRUHD2eUCPoCZpDyxwBGzxxfdrSE9GcyJ7jSO1inBZhUoh3NfxETCki5uXDSanMVAfK0d1Z7m6KtQrAWGuehD5UTlxiDsjgukQzJWCIS2tSk5cqwcZAKuiPBPNAWjXJK8dxW0HJsxjFS8ss40802fYVjum+MxKSbFKl6u93Gou7mePk+gfy5ydI49kBgrh5gtkA027cvKAkZprS+FEuzQ0HGeY3fVquvgshJ9jr+LLyybtGCiLCSLMozaK3fDkpjQ0Owvruv+8Mph8QZF4iG8f/Pbw27cE8l7u3SEedjhC7SFR3lhSrJJNLIOTg668UjpsZnm4aiaqaslkkgOFVQLXfi/EDloHr9eXfn+d377Pb7/zX7+fv3y+Ps9rxK8XfV7Wq+lfPlDN+jG8BAiOxgAbRXoQQHnrsLk3RXkHBksvzwxkyIPM2ZUGPMbMHGuQsA6OStARQgxk1C4PNHhl+K7tXAEFxwcrwzVUfMM2jvRyvawZneMv47ww0Ag4Qexx5HOceJjXduTU5lNwl0XiFl0uLdSwIcp4zMwxZXSq3mpyHO9LYD53swwMHtiev7IrFIgYzEF+lKvr6fr5B//55/rHP337h7/56ecfP3ox7MnocVQnJQlLmJF4oplfNDVMlTc3fWAPz/hlfI1fJ7vlESGMB67oPBBv3CHPyJNxeJ4Mdqny3t44TAEsDVOpibYwDWjz9psMu0q5PtBkl5uNLndl6RKdFUywK0QImT3vE5UwXYdjEUktMgT5hACIajPg9azrYCGYQIQFJZAkodNREGGRjh01SDspWuYmh+l9AbEwKKAX+DAULtFiVcEPQVY1ql2b5hyQQ6Tb6AC9YxDxpm1Ec3SNWKZjNySZwZSaDIb1iyP1HH3++vmXv5zX9/mczz//+29/+09/0sfgo/BU1+PMvtmipZ2aLRLAoO1ZwQwnMCmEkGsqeMI6hgHQyRu5B7XIwrvULuXVsfdMvwn4K71hbQ7Q2NYKrFIoMjHjwcwpJggxAltEzLCg1EgrceXFijf6xwbiz7/81lICe1uBOpkUmvK2LyGgi2yiOOnt9qrKLw1atG2PjYQEUtTCw0K5rx3BSTcBY2MwtOrs+Kvs6StvYq6l/RUgPApKuc63gAlYZVhIuuYY50GW/vZjZVaolKAAaaawqiIocu3oYAuO7BxO6FJEuUFHCK1PrzI5Z2kDalOd8vfQ6WMC36f00Zs/zo4AUkTcX9m12B7eLUptWRZipxA/Dso2Jd+QGqfyk3d07SCeYtu+mu5lBgtdWD0Iq5dBiSAq5fpu3vxSzwq7dnk5hVT0GAmJTZFZkSwuCqs9GwLGpkVIN1rRGq1vEjbA4oxrwdR0A9s57Lva0A9d9VQYAw42CBBXtBUsFfAlt6KxeyYD48VtN5RW+SbhrtJqcYAQrMvxbxvO2D7yA3KcAZ5iHBONki6qXSR1CYL6Rpyn++dv8w18qcX+md95NDpfPi+fL83LO57gdJXG66iPc3sEtK931y60idbOVgu868pUVGeQh9o+u1+UpTi+W3vJsDv31EE/6JTYbpZQC7rlltQmHa/OI30xcknOKqlUzoVpyuxKauvtDDO3gTHfq4Sp1VV6wau0GU+gK3Ewa2XZyrdJTxIm5IvI09EeqXqZzAccZiBJ+ukCr5XS+YFBfNwRMOVzOKmC6bXHrJtDtVDDH6apC/rj0sdbkIRo29RR20t/Ya6Ch12APOIgkZJ0U0dPntHY7SoS7VZPJZwMFac0TKWWQCGityAFs2DpivLqdvHao+hSoQAr5XZnQ4ecDCUaxdfmKsAp8dLlKOfDVZFJdpvrCG8xO1xn5/1Rc+3gTcsnBp20E6wye4l0GqRQzUxPqspIGiono9fFm7PaUHSaWHFfEW7e0zYAqJ5CrWP5dLMi+0/MF32OA6rmlWLc5jSoBzVHesiVNgSWzeFGRoTv9DJa8XER50t/4cvjX396/fz0D0/9/Mvzp1/qwXxrgpRQpf7mB6ebap5w7o2yZ4E/dRNDb44AHF+nCOv1cq8AoaxYlKKZySUV9Ih9LCS5yADbyCAvanVmnsQe9eeRyG+GJ/AiiLZV00d2CcdAdA/PkjiurtfsoAQQxdFaJw4IDvxil9TgTMq1lwo4ecgrQYjydg2SxdxwNHue+VBx5a0XhHJUGhGsvowW6xGKH12oOfGlZ6DM0+Q83UT9QDx5iAXAv35Fzbgjwkjf0UPlso+6KoO505lESDXOf0ey4xxrBjlrjqaI8gyfukJnw5V5AP2BVoMGJuu1xKbxMFJSrAEwTTTIY9QzLobVQXXh+ain+3mgwfNRY+tLX7F3zWIx3LQjQSzXK/6ag3mmVBanRIFVeR4vLGuINW3ucGDa7uLxHxcc/exYlf4DuMS7ImFncaA8t3oRchS95QzC2rrSdWgWDkhllBsNIFGogVTVG4FtahRU5P7t6EOjvYXQiC/sIaKxJCJv1IGfpvmIn6V/+9LPf5mvX/vbr7//8su/+3f/49/9r/+n/+8v33/SQ0FNnhfyo1SNUyGgvQNX6UzitFNmcvWMypGb+vvWUIu3CjlpGZTQW1K/FTsXV0sNuKRbx/C9sBRcOOPOgjTATdbNLK02T6WWL3RJXS1mMhzaNVwQuBckm+uXMlwZqxVtag7WfOWquIEQzVDtF++o0VyyVTeklWt5DnvA8ASdXQAsY1EwiQ/YE4C28NaiJ2Qw5Qj/WDZVs0wtQLhCEKXHrgZE3iYk8wLC7FtuRztLuh46DyxOwMON9Ce3xPSExPIlbrDNHh1nQBiJ+PayqgPnF7kWyVI5I0BnZVj7gwoVmUy+w2RmXZXpirgCeUrwFRFkB7LETOJ01/YeFsEMSK7aUaiEvUps2qboZ1PosWKVrYnXjJyCZSUF0d+uCcxOjdkVvJYmQtIpHEAeSsxKWZdb4gcSy6/BZmYArJHAvX6wjL/gOnZXrVPBdAq0dNCd5mqNlmDQSQUKRtlaEsP7eR4nmdSTtZjvSSkIS7gucCnDW+anU885H9AaRkX6Enw75LmJdQ2nDbXiX86RnhecogQmq70Ju51JXI0mWegHON/48a3rx48v2xbBc4at85v0nfpt5jP4ap85TR6VdzRW8A88nUvZoRi2op4NmJs4qyaUSg6kTneCZHYz7hpuJ39TY3BP1Qb9tp6sU58AoCuQT/ZwbTEeSNwluHUHTyRQbClDw5NQZGORE0QJuw7weGkJDpOXAUwKgkmnuBZ9bAkQEN4o5KsUtjSGno1xEVAsVGRfBjipMZbMoRfmAlXoWGRBGpOkSJv2mMVQ9MECsZH72UIpmxmpGdd27tsZ5HC2zN41txlXzPnvFc4aiNksRR4HBKMHKinRHyuPixxylyqJjio38QgVyjCVf+2SvXt4twVsDpJDlMUaT/k9h3ms7jioticfdWpr35IpMQz+I97zZD5AVoxNJwUCUCw02WWqMQpnJ1cvXMUIbKoVyV8nxGOFZlgaOzdBGegIPNOmoFvwt8F0aGrq4pgAHlbpgAlnKKqXoZu9aEmImd518yXAOmGSQvaE5K1Aghz6mcUa2bkBQKZvVrGNz9c5etXXxw8f8+PDP53X5+v1559/mGY/z/Pw44PPB3IBCRV6SIs7RLBU6wW9mKMxOkXah806zKwgmBxFDRBAlgOrWPa5ZUaJtl7gM1rBAUWRXecAPWA9glWZ+r1ZCFWjA9UkJFeuLk8CfnqnQycPxFg1s8iAX6hNC28Ifr1Q8tAzlQ0wwZsyPjjM2ohbjchsEE5aVoV/cK1Lf9tq+3S1aR2geF5Wm/LroB7B9fI8qK+axoF5xHMwL6EzjLBIaASCfBJ5DFkHjBU+Sbf0CcE9PUUIGh2Vna439riGw2+CZhdGIHB0yPZB8rQkfpgqPewmI6CaWsiM9v4+qqeUAcp2CWQPI0SsvQ7dyzXn5HEGUtNowYimamjWRLhZG04bJafPxe3Wd0UiljcGD2YquQaOc2TDmlQVlxlJwZp8g7RTSBwOwMTgLN+7JclagxKYvj+hLhKwPYYrt0mkUbEzFqzZ/j8T8BJKnz4loqiOWqIS02bwbHIQXTqhGZAUskGVNEe//e4ffvO3T88Pn3/3zz//9N/Xx//txy98EdMFAU7VIMVAZb6wkP/y4mb3luI2BXcL2QEp/ANqwiTVZvRVUUC+qw1f7mlBxeAa+TvI+ZmcKow7w0+c4LNUXzZqENcZ6MKCVSBm0RUkCJkQ2cS+nKA5Ke0XGFuY3/GIpM6TXZ0FZ0w0O3GJcDuXZA3Q63CjzQZluzbdjFxjhBLBUCEtw6bmecQyWEHWIlMBMt0E90mZUYYXaputBY3zrIjoGDB8B3L36ouLOH4Q8b6Sx9GpOC+WDeCGcyHFHkUbFTEvbqKk4qKYPbXSumG4w9qxZXrK6zcqsFI8BpyNqHjPbLoyUY3oIAPbCCcTMNVBDL02klBNJSIIiUnDorHwu4/cvI/ES4Tpt5Pf9IasM+AOZBJfKCuJ1ibg3WYpObyNk+ztEr2I/gb2wmSvbj5HC4jOuaKJuUx1Li/FyKETsejKV1vOYYuyHBBc9/nYGfqnKH7WnHgR4wa8o5bCbyxVsphsvjkBbrYxUkHW6HIcG6ujiD40US5bdZH8aLKR1xNnbZCOModGcRF07hM2+9pFNXiCmrxYD79N/fzgW3nmDD6IAfA1rxfmpa+vl18jSztrx4A1pdfxbF84Iz7PhWUSK9zWDpcFm54hVlsvwKPxyGdg0JoVFVDp2MxiwpCi6bQRBTCx1S4Bx+8DcxNtKmqd3XrMUMD0QduR5VzrKolP55isLXESQZ1Nkqpeq0LNlJuqMGSSjan62GWRFU1iXUyLxeeOcEJHqnYSjJa8AlHLJG2uT1UBk+LLXHwVLOLD7WRuQutosVRswuIGC29sbpzQ3tUox+ipKm6nkLymMIdthwdaJIQSEpMVYlgwJ6rfpCi55CkQG3Nwe7C1iqXnX8kdAUl4tgBOwYyzA9GdKy0W3JxJ3q0RwVraxIQ/QR5646rC68kr1QwcMSkWOQPcId+G0Z5MjDI96IvvrINc1usBxej7UzrnZFSlC/QThkf3KAuZMkwC8dDgYlXN/ZrLybaR1KDGTGigsif0sSGGNymXaLc9pLHcjrFdfhNaVCdBZbF0l8v0WO4qpRPJTR9p6HtyzcKcL4GvmcNpfv52/vLj+befzy8/f/vxh9cvP358/OmXM3Ur9j+Ejea+fDwJqqQ8RiijGDNSg607dU4BVh4zbChTk6iSwN6rbUyi2LgYVIpmQyw4xdKLbIpJS2wUmREiuWMnolDBziWsAs7oyan8AEdurt8IPIpIakcQlOAMZ7hDTxFhuDvgD2fiVHkiK1TiOxn60k7ly00eOoPGMrUwG5oRH6dnGr9C0bEG09SLPLBU0oxWsZu5z7RZofRqJWK0Y2Re0MxlniXWMfIYoxM/9XEkx2dlhyI2zocYzoM66ZpL1KN5oarasJ8KoZXRiFtFrlxuMxaLhIcPJewJxY1cc85OZI4bLBZKiiqU621ZtUwAR8H0s2COotXM2yS41DgJWOimXu7iYMBWsW37mmDy+FJbW0ZF8r4lMXLsLdixANvyqanzU3WmpzBWdJb4UHqm+OHNYyCeyFr8VM0R29GVbO/u0HrLvthe0WjgWREPfQZPYSy7hgAP8Qjz0tfn+f2rfv7O16OPP/cv//l5/d+rUKeKUHfppcjAjXsmOEqLzWLZkBhwp1AFQZZDQ4dTfHPDsUhNVde7L5Kv1CfZLvUmXYN2RP63UpachrVFG2DjmB3ILDe0XEVVx8eQcir4ZgFAh5pXHjqKnkGEv9uc7e24WpetRPesd6pMduRG6Sm5dGHaSJXuqc0Sr4OMEWGRrHUwIfdWVkdvuMxCHbHiVneMCYui54vgrT3YUFVHtxAN6UbrxvyA7Z6unD7j3MoSm63KtQq+f+qidogGhHSS8xGD0ppeuemEyv0PYbVPC7S5yCTSGLbSHqeiNrgYmhdEjoHP1nUsU+HSgEph39zPzy3pl2JF0NkVpSYF9cpXxqn/tHhh+kkbjhwDSSleThbslciEx1VF+gJXRlWtpiI9car2RE5wO639QHsb7l93jnG7gJO8Tm61jvQGhtBk3KhRM6UQ79rqOiRPKBrtJF1Gh7g2yXR/wQ8tJuhsyZn7e4R66EmQQF5vSsMluio2W+UWB0ELSWwv957M27uv2GhtS9S4vfdoWvFOGdqraA8rvJhHNYzqR0Q96J8eh0iW0N2nhjMvaKzxiDrwGaKOMLbPaxLm6WEXP+jMSEM5Qy37YHMqC5wM+AwoGIJDll7pcb2EV54UyKbNoAjLdpgwhtrpRKBdLPUGVt0nHBVUrRcSBtEgNjjBCdcsCngusJFe37urtgn2CiNwWfPNFgKQdLimLStg/0TG4xnU9p9a2xoS7BLqjBnpoE7UDjo7pNfyX0rx7yiHcsY0sktAqryl415HUjoL7ACQcE9aX80fwrrwQAFGc7IKi+4s51qFWSDWJM62LggqfowCAsLfPFrW2O0l6Xmh+HRvATNLVBWJZ3MYaLO3hxYqjh1e+WP4+XTrCWPaC/R2rU+XMyVoc4JNoGqTuFaJyyyziN1yXwbFBsaz2zCBKTFYp2ROJdCrfk5ng0RB3ueEsDIoh6kKv+YIRghkNpmQznXZEvoBUV0ICpuzUQYCTyC6Tuk4P8Fmj6cQR7I9xnrIhpoChKLA0sCFKmUSFaeXb6m5uYBhXaoNdHKohBdB1O+fPfKZr8+vfr389Xp+/xXn9TJABQ4WWC1EYBBp10ysZ9QssqBUTmSwAMNzGR6ogKNikXGTciKzW/QoAtBCCSiKiUOyKR5YJ8oRfyvb9dKKSRq1+ZRpJOzF44ZVFXmZz5iugMixv6tELxRpDQHp5DoyJrY7VvpJrhTWZJ2M+CKJ8BGKJX2pkWgDWB7wQQoHCc/z8GF11/Trw7blA/hgI+ZMjLPQquCKeNC9KPJbk4pCfCpkkCY4zR1kSJ6JNycZeHnyG1IW7+Qs7exJNZ9gXMtVL7vH7XFxjj4KhfBKaeoi9x2igAe0o69KXi/08Fk62+VYQMlDjS04npvUifEe3LYSflewLmilRjnHM9QmW2n/VcNWPZtnGsLhQvmbGrNiILtTNHGDurRzABzVzfaq1eAfdHAMAW5uJM7CI/E+wmhDaXawTYmqoMEHW5AwaIeRSt1RKeoucQbAmYswvLD2xiWY60nxi4Y/Ned3ze/47M/n5+cf/vPf/usPH//b61+bxXr0DNWICG/DacohuUBzaRVHGettzncgQAANrXIy/+OFRW13wUne5BVD7XdYu0Qob6/eDIDsdu3BjCjihE5BZRhGKU8ks1MLkJKJm6ZvKs6DgB5UAcmaDADHwO6qJKws55Av3m4zX8zphzIDwgHhdpTqdoUKLEuwldj+rYw2Hyu3h2tbz62O22l+WQwMjpgkilyCsde2lX4iXcYCYrmzbkwjTGc57/pZoZWF525/36i/aE2ITD3OZZXfIqD+WiqTUy8KRU6mqqcN/WPcLfPfUZ0z4TMGNa6aXPA8TG+a6UsRZ4cFya2IJaHdXCZ7LfYE4MqkJxfyAmqX1QEfwrqT4xSY7yKm6QO4fQfHU+JCukhuuifyoRwPJwMBkPesrohPeYuKiGJd+8DzFBkoX8vph0MfqBN1ZLu6nfN1gcuk3HCpTG8HmhOeqj2fgr7Y4QZqcROtwxlvNiyRFGBOstXtwjsYYekmr/M6srsrXolaKZKuMCtVTrZLQH8FJ83siHy3SK5D0y0i4ZUSIyWlSiVXtcuGupZJ4U/Vv3z4Ic5LZPPjjGdwpO9fX+fwNdKRpizNy2DpZV5f0IYZ1dNpnFJn+lvdVg/nzc5wVhAv2JZn5RG+47cenAl9PDmeSXoCOdxQL755qJX9E9EbK0UXmIGhLBOz4posvei4eSxOoou1wzZ80YnEZtYTjGQN8GE0A3tHtUCLK3i62rvUROsKXX9BoF7AD/CKj45pR4NSYSmjTWvganc2XjnR9r6TYjPF8a2D8ybaVa6bJqbQf8hxct/Qm/mf0mXFTcSqCHdoSdCdrZaWTkv63pCPzlllWR41gI4jZlGhpciwiMRdzrmRAqVjp3uEWV6bREKOAgxn0+5nx/aEsVF2EcBGEmYLXGRtda9FtzjKPU4orzHTuO6pu98yt8Tmuma3FVzoTCVjst5AwC3vFAHuFW8jXcOWsMnzr4U+XmRb6KyVcqGU+2a6aW9ib0dOkqXsyGhHOfqW0vnjia0g3eFf9/sNsAFnSyek000MSAJunmjZKVd3jrImG/XCPNZ51W9dM/48519/0/fv319f1CnU8c2DUNosEYAyP3atJzAxUWeMR1Lujjz77MnklQ2G1RrxIdGHEKYD0ACpK8yoIkp+FT8EEY9en1+QwY96bPTQBdSaPYFh1RKGlVdyxZ/OsOtULoAqYYp2ATPWVMCcsudoHBBFHNK5GVl7cOiuGh1IE3ZuE8PNU6irAgxmsxltYZvpqHmMY6Ez1HwWCC+WZzbFW2bCdkwsuU9gan0A8nBlFq6OVhrgyETLMyneUoEJqFpHye5EYFjEUQOKnCVAQ4FHKqCfp3YPxo5eK7vik2bYR3X9/w66IjWfEMrHHSA0zm0tY1YVrsAC4xPC2d2+NYBz60ZsLnG1x9FaUpdP9ew/bcW2BomUmoA42OM9J/i9HjBlgJaqytpcwNYVJ8MJi6kB0xak50+vSCaKFfM4E5rLZA3WHiQljSvI7wqGcjM7N8rK5rja12M+zLiQYPcr0aGP9Hz589fz/dePj2/qj+8//f03//sf/8v/C5T1Uq8OxpNZ82nvVgpisyJszhTBQOirmlgtq7W62Jxj1IWIKgnHfHL8592oWg4S6iVFXOK8cc59/vmmwTRWv8LaKWKLtSN7BgvZjq1T3blHU0pWmAvEkZFjj7mvgmjuGnQH8c2ajo7U6ORWOIz1SkID2nKFWtwbStaN7mNKvHrKFlVcKwiNrWOdbJ5VaERJDz9xw++RG/owo8e5hZxwU1G95bzXEGzk06drw7M7zn8U+7esxB8iqItZJS/P6CTvMWCrb6462KZQ8qnAkRnKod3DwfhZ5czTUVJIAvi/eYtIqF15B2vD5F4owZcQNZwK9H2FKxsmQAbWSvi2tx6cCkt1e+7gG7l3VzyRDs+d4hfVESfnz2XtLDm7BE9lVYuZJqcyD7NyFqtNXboSoK3N3JVurEBjAr/gOpsRiie6iBQZ66FekD8C2xPLEYGrDts99j5XQDdbNEZIa4nb+rwv7RCdcD5zVbCZfP64l7a6y/0f2XJaMta9F5yud4s2oEGRvVB2koAL2gQ0gHGehEypB/XC68efvtUP/VWgWA9Ov4A6X55Pn9/09TWaOseSMJyD8XCATNNZ6N3xvGJJ28qhnf8pIRL1zrByTeBrBGoMomwbVI6YO5maBJWAZ+6ziIZjT8AQZohqnzvwILK8oN0wItLIBujcM2DMnoht1UV6ahvHzC+fjHmvt3Z/BWiQkVRWFrigHbZlrEvnc434uzdyZ2G1gtviJTduNxruZCFUtOFxD+QEiWsJuCAHSswx36uIVG3Rvy7BwDVVS49kdfb+JpqzvckUiGOwp7zlDgjHROUWVRiJbBwYXX1pLuezLXdOYiekRqR0wAfZf5jegnDs3tZ0VuFPugpr5JBx4+hSG+zadqcEoWsqMxSmi6ydfgoEinYc5YVYRKe2RrgevgvcehIVGcFq0wMk1JEZe9y2MhUystRlqKM9uQAO3ShqwK4JJxmBAKtkuoFxd062MCXewiBTB7yBlRYGQt8SL8Tnddul2y8gnJ0z6iYnQYnqd7efkwZyZrKW1+ROUgOiKtFXpwq0Zb++cMr6jsoE7FeGHmXXdghctqOnD/HAm1NQXJNKosnOS1VtlDXVnfYlV7bkGJufPSkNTeKzYAw7JXxeFMVkxw5xCp6CpQePHtbQswQSo+gndzNGdtsLeXuXcQjYnMPzx2UKGHjx0COZlUJ8DIpdEEbutOYBbCplTRFxHMRxolK4WDZT9EZ9mgQd+eNji5aBPw6+TiYwKEi7JzEYSNnRRdNKKEkY3kfZ6CnFc315TizKkjxBRD5IypMTNFiFXMsDB9IOPs5zDlh7+5X8stioQ8eKXbD5NI+18pw8YiCSp8Jjn9R64Um98RIQ8RLmFRM8gl4N2aFUBBc02QvaJ5V3NYOL+2aKWWoVsws+uSJ3UuA95gL6pPJmWcHkxLhPA8IVOLiV4p3Bk6o1aZS5WYO7hnlYHW3bJ5jurFXJOOjND9/mZ4Z6wCN7U5VXNpWHEknFvYK3n6bob+ixty2NekRjkZr5+o6v76/zen77rF/+5seP//wL/03+7ePhx/AV8Z9fZj2j2T6QTZ295MMLBnS5xTkSxmkEh0dui20eAldtbxUxbMwBUpJAU2MprPGFlULZVNr/yzYmO6Vqa0N4dTKhyFHl6/chy2c21cfD4XTO59uB7BWjilabW9xkHIbwbkrBQt3cz5Q33lyUWriqFjtJq9Ms3Us9d+PFjhdUr5QWCahKydhFpSZNNX31Rc9fdSZgQneEYvKM7MsJgaFi8EDjHSNusHZRxs9sp6dgXflruoL6Q7W1xbZMmxZHptBeIueqGWl76WZufWZyMhow56EtYwyHVA54t44bRrOE8Hj5d0FrL7CdFMl8LmUMEASpHLVoljpSqkUlURqCjDPoEuoIOEonm4jL5V1Y8XbkmcZb9vt5b1XALYeys99HEjLgQ6mtqt6yHCRDdpvcJBQG801AUVX6ByODY7epC1y7hAUbgYMZNol2fKhv7sZpIpLiY9zkP0ciys7WH2zLG5vfbUqxvqqniuwqRqCXAg7MDN9Y/1JVpk3BmjyyiECsl6y2mwUq39zKvyqyVpWJ/vb0R6GgI42bNsuvOb/P969zRnrxvKSRX96Iq3QwwsDHGgkmhsgYrjiSBomssuB3qwpbCQuELGUqvJMEgbWLgm6zxVgoEDFBsqa4xkdcqpa8EwcBsIoB8LTNiEgV1xVA1C661AcjnLMzXwwO4bjFRKPzErGrb/m9bWGFyEaHdWdOZofWvfmaja00gniR2lqiUiVE22TkLEJebJnUZqnlwKawh7eyAYjoFDrz3ioQ0pVWFCKqr4VWuCEkqYKCvy1AAiGqWZN4cSRBNpNEKVI8mJNjA5Or1UOaNGYoZYtvJhPH8dw5o0hNOEEvREzRtVKlsNdL7nihuks3zj7mk52ek1qw0dUoGB0AioYi/SSlGfvMbDu4R6p0t07eg620oqZZBpo3xtLbIoWVeTOGUOIcIr7UoOQ+K3OxpIHnDODMcqrVl+f2fJgYe05/5EBnLidHRahICjuC2pc9rRilMp7Re8aME/mnGQ8ScwwBqill90HNdVtRaFS54ixITxcFN7BYqQ2zZ/R1PMDryzMWfEbeQyPLBVc6FAg0WTLgE/bfQ0s1YgBISYJn1fqilwRtZjbUm/TK2heQYHMNalwcWjr2y2eOz9FrzoivA/FogqkmNzzsGK3SDdiNxKaCpWGzk5MVYRRvhzZnRpLlDIQxYixOxzAhuDAOz+sk4WhsDzOJeN38dppbbnH0ls3xSDNzZnmcH8jup9t7w+zAQltUqteq+GzSu9S2+RbKnSdvarM6jDcMTDm7e1bmGhJdKxU+FgTNYJbya5YdLZATNToHM3wJXy/O4Tn6lCWc43t4IfjxlsR7yxqZWXkLDxgzuV3ROaIj08fywjvs13vMYiG80ILOwYQlVyQFL0Jlu6Q8DzCHELblDmgS8aFQhWvojU1JVSlPlykgUanI09PHML8jRgKr3uEKj0VHkbfqBmgJx8GQD6tiJ0gUavoHg9jJtMiS41ZkSWo27cnDB3ejRKlt6Hzh9V2fX/788nl9efDD/8Af/uFJ+YBvJg69ePoFVG2dxY9yvBFYlYuWYGGQZdxs8VpWyM7O8D55m850afk68RzXU3R5tjuePog6F41asiF9FjaxdVN7eLFYZ8CEHB6G8QlJkWCV4mXdOr9sa7J3J2/JivnZEL2B8kmK3ulMuXnxx4NmNlWm0T2Pqt8/Y8c/bx9MM0M4iHe6yyUQ0++ED46EPn0Sb+lGXpQ6splUnpcAR1oGQ25R7FpdTi7xXIy5VwnUcOwIGXJ/Yc8uwvKkjNp3mc87IMS2U5BGnkqm0g23XjDXSkrHxcwd8QCWSXNno0RYcMfIpcvXZb8JTxJaxlL+IRZBYufUGFJ5NrRUK/8IZJQGOEeq3iy3Ew9m4haVxbr2Jlx9JS4E/q4kcTV6FypcFPXqdhrcs4ZRH6dceHe6uYRr1z1ZjNxgaZoEw4DmarYCVeYcXC/BWMjaA2FrgF5ebLuROEYvgEDs/VlIpZfCvr1BtcT7G2BpmYRhI3XofUW5GVL6BmGwCQ1hJLo2euF4IvbJUkXUxkYDeO1RSgnq9g8/0R7dAEK9vr5/ff/8Oq/fztfXa874jMRBjZLWXOtlPX6ATn5UNfw4v59UOqAUoJn4FbP7nsGoNUjJEfRePcZu3r2KucD/yiZv1AAgpDQEIn3OXWS11Z0BtdhY7/TAiv4xhzgISSZrJgeKNgzPsB8Ut51e2XFkpqoQQ1GRRi3LRAHFH1g5i5sdEEhZSCA16zjgfuU9gWgHGY01Os5CeAvc9XYh917cTaS7A42GUqNIV85my05ZqfjtrqbWSlAwISa5TktI0IamrdrK3iN4NNIoIcXbhh0N4uQZqWymk31Rx+tTWNptI1lxWdFseQjyhEIM04YkJzgXQ5Zn7i7iIZNDvhvKV4JIVFOZGbDSW7GQWTlrL0ohtUh93NYidpTNTuseGLPJXC5OAa7FgLaXB1xNR+y1uQWRZxZ6hMzQQ27inMkTSiLPKXqiXAwpGasuclpAF7avo2S1geHOMH2HUWECMAoymkzugVB9gdhOv2CzWHJp/8x9wCoIPkjH3SAGx+WhVbZ8JNAzK4AQNYQsllEQx0tpL4144Bc8hM3DyZhc1oBiu5pJmtqaZGiPayx7cjcHAYdROJdMcmosoV4HRzj2nNcZf33p9ZrvLx9xJIxmXdUDGHWgJLSpLrOWvjnlW3pf33JOsgQfvWxJh14DADhAEkVGHFE+V8ytgMYyVM8VOC0/mSPKkkY263Ckl/B5fL7ODOYlE+7TvSiXjuUzgDa8Iw3F4pEmubD9/qtOAR5wYcOIk8lAzXiciLdRyRxKRYln1gwgQuWx5HaJ8YlINuf4qHSs15zzen2d1wvnpNnBAlsSpZqw9sq6uBAe0ysZfo3OmXOYwpIOoZOGL5a4NcQFhRoTKG0XyFKlVKqazt+Bgy1imfZCx9APSAVBBVMZHbnVkp3bxY72yCZZ+/S8KQhECh+rGtz6o2ByKuG7MuHS+tU670Vw1D81PnuRBAXx5fThWkFHtBTpIglMvA6PKyBXY7Y2jVtCpzX1euH7X75/fX6H9PuvX/p7/s0//6kf/v+oercly5LjWMw9Yu3qnhlcCIKHoo6Z/v/DZNKDzGSi7BxgumtnuOvBI2soPgBE36pq7VyREX4LVrVe/VQ9IZy1se0rnEE2ZmIbqeW7kV0VvsUgD3ScVRp7irNCgLWTpDbXIyM6JGdTxk7e26kyoRe1TVso78VWdxAIR5pYcqIjUiAL6FzFOyWMYc9o3rBATc5PIX9mSgM5NDqJu/Rm7aCd0VET6Nl38LxDLniQgbil2xNXa0dYZHCGmol5yrS6JP6CsuBZgp1cKPpOtcC4HG+BQnp46ZaNxEGTqs7QlqgEbFMOpJTgq4KkgTwm4fITleOE2mYGhQmzqhASyfJbsideufTOhYUe0nMXCth16dDKVuxsc40mJX117ntiMNl9V0xQA0BU7Zh0GaWQmRavvZwhwPIch7koR+4wv4NV9ckJGQdZHfG077oKxLOAYKrkJREulQJ2As5C4Ozf3Pm06ERhm5FSgKizHvlA/Z2IG0srMegMI3mSdmOlWjtUQK4qFfY7Cg22wWxIT778gAR24O/FoxPwko416M8WokvBGY2a2ycBbmO8sqULgHMh65Xb/AGj+W6D50N7TUIG1xewrETYkJiOS8OnU0qBh2j52zPfvr2/6/3T9ea8rfH7s97H5+3zrnOC18ky3ZFoRCGaXI+S/DJcaKOagLKF8rwLmOD1K7641JI4YzRihT15EzLTsDiWxcpE/oT1wgUz4hkOpgMA/nK8eDVsV1T34GuUS9JMvgRdyKEUaFc5d0kCNIxLTxFk9lnmBPP6PkG6I2xdcpHcGJx9ODs7QpZY2VYZY8PG1JXxNd14ausjRJbYaZsaLXltQk1EsAOCiSxjGn8JokrV+efyoWdWcfw3wVlub/HUWKXtMe22lN2I8DApJNxt0xnpk4RelS+UWhAVy2455K6o2w8i4zSgs7EyT2lUBaK1rCdBj5UFLwXlg5CrK+BtshEDam0oY6R2AeQa3HRx2aswYPBTl1L4HSuXaidwqkiOAI6KUYbnFu4yqwZdWapSuSMqxu7r3ttooKh55InyEH6CXVCb+aDLc1DFjjKHxPMiRG9yIN/9+biQ4JqwE8acrHcngQG6cliwVA5Y640HmCgqw1kyEQGIkbVBQKmqF38kjHrakFVdRLA+kI2xe7DU/WzNXXwh91yhmhoKYIKJsqyp7ATwhpYiPTjWg+y0ImW07Yp4FZ7kCQE4TyLmFteoDq7dEwCzzjBhrKihqz5LH8ya2M4t6GLDs9GnzGoQTqKAH6Z4Kw2SYdUzE0uHdmZDRZiPFINdNJncsfBj1rDoakhdldTKWqkcgayAYOJAg2x3sSNN+2l/r+LDQ2NUfB5+vo005bi54GC9Cp9D1EluC76CDEqh4MAyx4nQgSW8XZqDetJpYxKTJwveNDN4Uj52Sma+reVF1nwN+C0/CGM0pPvAZFb5tnvi9C6A6IZCOgW4MggcUm9/nnfmmALoHmqQouuqBizjswIFGxBdmFqFQeymEZecpKWY+Crzxk0+TfBVVWG8qeAG3QbietiVIHFE0sDGsDWoLysyVSTUmVECg0ziz+HgvzhYrx+wCScqJxxdbHhwMAS6xCklHdqR6ykapIogxK1qSMCEFk8TKEXUf8jXWgKF+vlPn//J+VMX9c9f/68//2+//vzf/c/PTwzYdQZD0Gz7pAysjvsiIUErUU2M4pasOORCIIdYZDCiQMlLMz+mSQHjicQnwbqkV7SC9eImlDM1jUrPlMuvmhJTPeDgsCES9lnSEwfUDey2kviY5MmFZCFVEvgy77bz5c/Itf0yXE+mkZt1qLy9YU5n193kFNEHaC1v6xWtGlxymWsuY8nFnh3AWV9ATE4CwUksTN4c1CZ5px+TIhy6lBPyHWhpk+RvDIMbr+P5QtkVxHkpSSt41t2CgJUMRPJCozFwwLr8jIxkz9uc6w9jBrPPHYaS3h6k8ELji5yGC0kAAR5XliCvgqhSTRfc442S+YK2BS35iUVzvEDvlSBZUJvZGxf4IAbJtYMyo9BSV5u/xKydu48pDyod2eZyKd3m9ub57I2s9oOJUqEjobHLyQ8M+RH2il/AZfQe0gWMlxmLqf4aAFNTFNtj0NXbQ0TMPZOXsYjd5nnbwv2vvfC0JF7da8feyfZOGXv1rkDNZLRhXlZNlYOhK4ghiMEGOE3k04gXjY3VTxp/RD0oip3ffvmlvr8+faThlD79831+/+eP8z/n/YMezswqDvctAIRGso5VlioxNpWdzOWVavhrWxdMenwsLygdaamW0YnJ9aun56qxiujscsiwGPtEZFBAlnLsNtGQAtHj5CQErSAcGChnJIOlmXDQTOJHUvZC+PoYvUAx0hEz+iS6geWUrCqSqpx0gxxfQVm78hXNSY8iG936IxogcZIJC6ioKBF4gTScX17AGOqw1HUBpodo77+DCGL23WdeaAbYGmT6v0RvarDW9ZLGuDj7j+X1qj2lW1lUpLmItHt58wAiEq05GnkzQxbOrggDWY0uxKIZvAsBADyaeJLTftPNTXYAklt3u0M0UHMDBMS1Ea+KF9IZSZzZJdkyeJadC7UMK46oqAmSPtIBXUmQ1Us8YhWhD5IVVdhdDFiVx1f7P6l3tuBioKxgk3e2r8QdO/5iEJXIBMvFbnR5gy4z7qYsS4RkD5nMuRltaB5oDIOfrGjpWsr5Jc8Pr5ysttCvZgeigCRyKvY7CYYa+ZJ0JCYoV+IuNso3OZmIMGfGfnveE/4ldlHxLsTYB9jBpz2ptZYTwL3vNy+QIiP+s5Sws+cKC/cBM4YHc/x59MPvM0cavHkORuvN41p9VsdBPsGpJYx6i+3Ao0ScHacTM2CNXQ0RU9BNe1OyL2kgxphcUloa2PaNqArbnIZKZlHocJ02MDXjz/Pz/fkZJgFRuBoGcUL5JQQ8EwQfvqgJdy2RbE9FvZV2tXNejj3goYnSYMU4XMbY2M3bF7OMGQi8wtNcAQE1JhwgD2aO5PLbfs+Z94xtvFsCgE6M22R8zcPR4sOAxbaaSLPBt3Q0FUya6QQhTw3XauOyZAwwTIINVveoeVZHNQgbvxe9DbrBq+1TKnzdFm9Nu4Hw0XVyC4M4TVq2RXcl5UPZaIAqscgCm01kAXuj8HCzFbTwXpQPBsigU1UVqHtKa+tcZLuIYrZeItOAhlaM4dqCrXDX5bbsicj2zMHPH5/6PDi0/ad/+fW3//Zd3welHhJkE1XmE6gKRLO2y8DGVUVUkthIxZNAO9HOyJHwlhAsWmHO7eIizYpeH4KVWY4bZE2DqOqdDdI577nDJHVtHBPffrlwy0ABHf3rfoa5Rna66rzCeR+Go5GPojjZDeyAkZwpY/A+83k00JGPONvhUsIAedUtam+qDU0vjNJTW+OoLaKJtwXVjHyIsc+insiXzpDlWFcgSmse2bsg11v67hRs7PvoVI87yTthZX6QRtfZgN1xTTaTaMb1lARCjkfXMjskOVGhpuy6cvg9gYvGpH8R2jesF8uJug088Oh+bvUHggqE7YliAWme0mZEmcGLgwZ0EVnWIlTI21ehv6qw3P6mTgJXKLWC/sHEQwnAMdmq0hGlk0+3NYVSsVP0K2eXO9nGF7JJgM3ttRdnz67Rikq7vHrlhNIB+z6IVR6sasEb54L9JL3Gt9CzJq+fL0NtmIagFwHRdGOr1pGK/BVcEDsDaBFtrx4vCp5qMyENmbivdSgLhbfOOW94UdqgGRASslHj4Qy6lzb4AsMNl4qvgXqItrsJyq9v/WvjZY3lhvpz5scbPz6tH/MW9RaEldNsxyPYipEAWcMB1CoeIxhm2gdbIa3WcLNtrvNeyJbpUvYyxeCLZJxtkn/6V2ZiSrWCrBbfKC5zRDNzdSV2ItKwMBOqrjZGuZ3CYNoAh1U+N/sLa93JZ0HXJEFXadH2m6MZ0fze8ugyC/KEm9wIiAo0THiTzyPakmolY1+nE6FGbCTF/7oZkjKwq9xioF8GLGfag5hliURxSW5gGjFJQpVMA8HQexdC7LrwkH9YfinTUwzXBjRMrm0+1V16ALMq0aWZ22ll3/y6L6yvZSeDLhzzgUMKL3+5yVVVmnlYgTSL1GFszHnvt2O4QT+kx9WISqaq5qjwwD6g552hec/mGHDt2mV/qb2WiVYlp7TW0mEujMnlEId+8mqmIOOGutBhiIa3FY+ygumOdnZInMVO5hXnHFlMSDERsq6q9nNhVj4zeztCwVeWn7AlJloRyJ+HJy5boWtlfn1FFjY7DTulaeYfpje1x0rbt1Pb4gVGAmaTBlEBmhfRDx6UE+mdD45XQBVayouDdElK+mb2JSFQNbnp6mTrAD1U6AzGvbi35F5NKWnDQ2/mNCBqzBcMl4sH1c0ssGwS40TXtjl0q/RE0oSl38dRIsH+JBUBoeAMDxpssHYp0RxZXVLKHAcURq7wQTnptMgk8wb9Ei97aIPQaPMu2gM/6IPD2IMbNZMBInu7tAGA0t4JE8cIOP/VM76DTgbv8pEiK0skPgnNV1CUovcM6TOANYkltr7KirCMfbS2hHhUaBThmSJcj2DWp6YQOaPUajx6JyTQ7i6I6Cwo8OSCFOoJHdPoe5ytijyK2ik/AfoDl4XsAV/NhbIa+anol+I4c3i+fjyzY2nqiKFNWIyQbMCKpZdxxDtywbEYCVVISpgN1vpFu4nEZWnXdadWzdlEwIKUN9S8qyeDpllnSxZ3st1az6FSGa8aftNz3IFTUC8YIAU/ifr1jDkzP3/y99/18YveP/zr93r9N/L/HH8+r/M6kPBGlWeyBBjr8kYBG9sW9fFejGCU6/vue+FKlKFmjdEhSja/ZBHo3As3R3x/XjqrmktfOsuClgTO6A6gTWTj7yD6y50AU1DKHvEhhpvHscpPbBzRYQHRKp4TqGO36boJ5UNBkU4j+k7OY8QtRiggkPUg4EaQmKT4hZuh/U5hhUeVcTmRWpgvZG1N/kHeBW0Czdb/XXPubRou+4+lNhbEYPrTaHsTKUsu01FPurxwiK5sDvWsWCL+8AUK3cTGjG0A8x9oNwPoBput+IG+1hc1ZTzB5PejREDbBJDlHEfgwQDlzE+YRK2NCEzDub/FdN02pTDx2dHLnUHTZsGrhN2G/c2L70aNkLXO2ekBcSOWuQK25HMBlRDt/EIcc7yZPbKLT0bq+DTy9W947XZtt1nPpZsT3UhHslMZLHbBm5qyqj6QEPwgETZB/IgbrbEUwV5mHKxSQknfost34xiXPPBXtHhyWIIb2ftHVgbNlRVlXISxHjEEy4uAjUuM7PlK0nJC4O17HLgYgasLRE+pI9xxop76O/xbW5Sa4uec95mf//g5/zj+hD4nNGf5ORhvaqFsdnvDBJ4oKlFGhXrIN6tyJFBJtNiJ2GNxoyRA+EB4XMqSHXTIXxbC+sT20gBqhAd2UdQmaSd/lhyYD+Ilry/OpVZqbKwYKoedLM0kqYV5ZSr4E4UJ8B7GOI+Qwc2jw90ZnvAu9GX8/V6x/U0d2WUiSVuoNYXHY5+eFKHFc2dQOuXerYjTfFRqTfe6j5mOFiQqcH1SKLdGG4wHe5KrVRt113E8hS8jMG0YreWJWtnwU2Hn8lcfhAhNDhJ2ktrXCwRFl95Ckih7Q2GyjYkNqgQ9D2Grhpvclt4RwCRDKVdNrFvLEwaIwP7edVSAKFz3lU6EMYO9jBOeyspQRsbGJlCRPTpJOVWNZNHv9AdXIlyrlsLs3RJZV5W5m0dCMWKr8opHF4bQajABmonfeLolxPlvRQL04CqadgHoXc/SoIs+Fg78sobmfTzjQxIsHqzd/3hYudfEehA2vbb5ThtttmB22bmG93a1QvuIVTufL9mZSFOxKsFhXFpxBbFszNn7RxbSwYTrbNYk4i32b+IQq2tLHU13HQGRqsuenCqRvc06kX1aS2IsQjTJGwGHgkefqtfLoKNMEIbFcdXDVXY3FN+RsAFy1JqRbMEHWq0a4i4Mm5U7k0h6WOWqt/MtJIM/gFXW2oXCQhZTmXjYyYGl0exBoU4WpMB8C69sUcDxSOPJRZb1qYA3dH+fQ/jtUshe5cjZGtCmRiNroILeX/a0VAkhao0CpjzZX7H3scuOSswbQvcVUFksVUnTlaIKXVgePRq42MwCr7xjgM2Rs2ZhF//dAM5cW8iA4cyIIQoI9uFJmiVplBE4c13dS2ZGnkScUWVNxiXcD+OFEky9w8WunBo4ZlfGNhoK3eGSqnqBMuWgvQqZOhplZsc6C6KesPiwuzTEsxEox+DCk9pmWohbn5cwtdHcLtdfmX1ijCkg3ChbQrlOQl8pCYUJs4EiSmc+f/J8+vMMxJ89v/z7929/e/38f4/7qUh/yvVBH5Z0ujmHnZ5Kunkm2p0Xe1/7gp0RbiLM65DMMuake+YQXuSRuWF7mT1XaRd9ISGMTnnAxYXSoR2n+HqnWVoJfI5bLRdJetE4MVZpI7EJQ4g8wFu8s5vFFrLfri8+waTZ7QGIgz7UnN6bezIPX+YR4UJrAvySBCGdYgnjz1VVRmYaxIq426zWMMG2Qwmmq6wY0JKYkzsjP1myP7YX2HY4P7ajzR7zQbCUtBXwsSzV1025bkS4EKtQ9E1hIsALq12kQ0BSfjQgy8h9DxQGmPWwJ3eJtYra+HmC20zEsaQzF4tg7ytNMxLV4GX7Mq7ct4hYy4NBWJjVayewCDd5G4SDayWYQ9FLbgTjBrXE/BOQmGlSBDpfki6wq0IpXnLE4+Do+QpMXjDuQJpmEKCQZe4rFtN10YCbvLMedDtPL3SH/aQrv1UGSwR4o5Fyfm1nfcG6CqKtrmUYotLYHlh7L13tix3mWwBuNtOW0IpZbiVvkUpcu2T0klHNhfJRRpFU54Ri02Q2B0U6xTdbLFeh2mY1X3/6zl9eqncuZel8/vh53jgH74O3J2/+4Bhc805WSIRvM7Z4E2SN2eWQQptQD0Iri9pvWqWTQ5J+OPMPCHVkZY0dGLgspQWcySe04rvMbPsZoVg8XjE0BKxAwfBkezE2bKF2KuI9ZiOIot3plRj8Tki7Wl4v2NI8+WWVU0My8ofQqP3uDeM66QGSHcqvdiRZFY/tvaQxZIxenjJIcJo0bwJWoGOwHDQ4KpYurL9hBUXQ7V6N4inI18uQcgSeIkqwk6AQDozbODTdLa/lClVFyc28iqQ2+BrXqm1DJ/RardciSVBANKl0ZPyEEzhQMWJcnRG+oJGkJ8KefFJLCYa9zZytEp0XJIVjODIqG89NiAknwESNmz4HaGDDziqzEfnauqBlkFKIoi/Kb7C8/0NTB0DaH4QwsXwn+JwKNdhFYPb0sGaFC8Q4yqiEu1TiOJM7R5jFpp8Mn+ZM2HpkHrTIFjBYgAY1ij3DIchw+w9iBzvANaz1gydIo6gEb3E0CrnpBLxCq8rMoDgmjAnVLFtjk2/ISU4b25iR8fJ48oF4Ge7AHUZyPuBLVHkUa8sy5DalkzdPlhf1P6JixhXlFojkLU6N+vNzfnzqxxvR/cUPx0v8wCv531nfGHvGUGzNgGuME10EbPXIGM1gpLPpLNaYiiI+zQBsbn4lbmiZ4ySRpJB9UcZkDUU70I6yAVuDI7+PzrHkNLiXijBMJsJHdZdoErUS3WR2A03ZrnFbrZOYvxNTa/q6NnDSZiBWyz1fy124a2a7O2h2Fi5CIxvVnR29QlXfq2YKptU+anTI6AXCL78WuRNTHYOGG6nCxwbj23bnqiugekWT69neS8F5MKdo4HCGxIOTr1OY4t7u0uLPxpSFwqx/UgHOlMsyCsCQk9E/MS/M8iHZnMWi/QCN+uDHq18fz+vb8/qo1+vb89H1eqqIV6pBeh7CsKoWvDGfksRumlE2l0IyXsBTuB6evaT9rPilEseeBTueo/dUn/P++ePtAT75Pj9ef+Ff/vUXfnsVnqerHpY2RcMBR9i58AOnLLebjTGzMmRSq1TBGJrcE/WHfS4BX4sZrl42LaaugG17PDpdpG+YTT5I2qJv5iEqksd0XxXPEQFg9RIl3P0qtvns3huTRbbCFnScH8Ie6OR4p/QNtiquBs1pPiVw8NglUczIzUEdeTSyj/UeTUIJFHAbUMfR5BDCSVWRZnhcG8kCe4L5r5wAJFCTrLPsqmBN8LB91W6q702jUjbGb66J5eE6Q3kF1kA8X1ZV5Lnal60SaA6wCpgEz20vmJaT40iRibS5dgRuqJZMG5ONXqEKO6PLE0BAYNBBh9SNiAMkMflI0LCgKa/gdvLLziZIOtEiAVoyyQAR0KUQk7WnxOQKMhKbEfAnZwpXL4N7bUZtHYKKSyhVMu60x5S01TsrJbRjy9N29otS5BAyXjNj39QbXwNgV48CSI5UamZ+YzPirjKQgYiDAYYMiGc+Hpswn44AMVAhN6ftEofG0ipYxnCnrUNgSexNu0mjvKoFNwyWarlnBIV8qlAVCahRAw9UGdyyR2dhL4U3qT93faufRx7W6H3e81PzQ+fTZ7LykJImb5y0WttUCoBJzK3dkbrEGC7Fdd8miDgnwdWRI+Fg3pO1MfZ98TbUPZNT+oQIFFI7bj0asIqumY25SkIWc3SCmSVtKWxEaC+ufuorNTTcV9Vq44wLWX6Jc0MnbLEzq5aUycybTmLRa8cgaw6Lu+yHCewe3ynvyhNSjJMDKStry6wbmfnF+7AzqnzJ02v1OMwx35knjUqZWF2lPZcUwxqeog4OLC1D431a64EyZ4L8LbYfeAfMKp2JMjOf8DvuMdJFoOSHgsaJzp07cC60vtSBo9qN1miyPRnZG1+B/NxmvlIyynZiXh47oS5GGeXjdOkgJi9ZbSgUBbED0iRzRmZ5oaV1LkYBHupWLJjYNJ89GZHRgmRtFE5u0XgWTPSKkhcUgMceTWwoUVvuq90C0asFzTSacKuk8vfDKrDreR6DXd12MKNr1Jj0LYxW8EtkZxnWsTMKi+9ZbS2qTjR60bIHFMByJM2H8PJ4teBOVQVDD71dHeEEQ20LtHigQ298ZoVlJXydkQtmM5qHPBxBJzhH2DE5ylKzovDI8GrZJ0QQHMWG4Jm1gzkJoP6Uz/DnnPfnfJ794ANIm8iCcmAwPsNjemhrJsAjJ0GUbx9Q2zqE5pO4qw48e7VnU0rMZDSCTX3JOBBqLtGsWwVWS874UJLFauFMGv1cbsecNyEpDohlDnOq1LDLh2FmoNWlZS6BN3ZW7kiv2zUKdMqagjsq4Xit5JX5EJDYmqK4A15g0+t6uDc0KyzrncYl46j0GS4IqIT2OdeyrxF4rIES9q+VlENMMsfqgMceeJQAQG23EGF36iQnk4WqjEKVBUjvHBvnwkI2xkXSkO7arKIHLDLx10EN9pvMdWT8kQxvsKqrqyI9faqf5uvhU+gHz8Pu6m98vfD6xvrer6e7yc49XyWwk8cSWFbVlbULGRPU68lbtUey3dKWVGH2iuJ+Bnm4DRRUc/T5Oe+fMz/gM+bBh7/966/9S+kZtdCDwu6nfaR2rk3mQq5VpJAPTFTeRV3N9cLbuUiArJb3LSspi9x93djOrtlMtleEigBkFBOG18wGe6HoSqgDqlCYSrR6YW0K1Xng1d1ooLoq+gHBGRIWV+tEmCQ+q1aTfoNJL6C08szE9K8Wc0cMf/UOYaAw9h8dI72Rf5A57CN6e9Q0bhiTsoKGeyagNRAL/X9BqcZwlTWj6FQz3TpBl3GqliC/r7FIu2AskTwLKANMz41VfzhJbKIPzsLitHNfyxhfPU/4KKc9jmIz4IF4zZRpHDOnlZeQQmQbEZjra6YvlELUzDaRToBfWzwJdGTKdxba+k4sQaHi7V0A9KITl/9wQbsB/EatLnSPaiAJeQayl49B+x3bbqMq2Dc3h7UwQdT2XbOLNblEXNv/BGrnPTPB7wwE3ayr+14zxHx1hoFUogTCGPf9SYPmKygRqbHRWODXySJkEmiCPuYJgbag9J/oZB+gkbzAyqiSJE/sRxOpR9RbgMH5iibGKEeHSAhnXmxdwZ9XC9MAdaLzABLpB2dzDX+r59f6xBkQAx28P+d8znnvyi9Mvpla7s4XGdjvSaj2A+LJkwFVzWTQY78NYxgQMsP/zoIXJ3Y27tCRwF/0zgsiBOBXKQNWDIe9XdbuQkeg902J7OAgvLcYUlWWFyCs+2NkykvTQPhrieUoj/f+mJroouloHRXf3Bp8qpgClkUohmU8NwI6R6aWrN9pFvxDwHWXojqYcKlr7ysUjLk5k4usBpl31BKEbHGXXa55yurEB84l62BczYxn9XmmYUkXkJmr0VSUD7P0lNceRMfWCVYvzpEYallnx7reegc7HyysRNZvOVKZ2pWa2VttJaMy5VnKhl2dPLWyS2hmr0ds85as6YUEcvzDRu92kg92ClFaSzKHZEsRqxxP5XocCsx+XQOZRPL2pWvg7LLsojDIjxNQuCLbzJGWqSyp0gDhzdAe2QejeUsrmcelgJT5xDMsPGTBz0NlfZm3rUo9lEGV7p6FTBdcMMAXpDbZ0fdumLmZzHMll6NYEyjg5jX1RQVAJ3pMCsAlhTAOooj/n5u88jn4egC4e2G2GU6OlY3yVHJto8yR5kjnlIBdLiGcsQcHdcATGssw4xrWMSfXG3AEiT/ffn/qH5/6PDyn580fczQ6x++D9+CMk+b7HnxmO8R7NNKxpqRzJCVjFNL4yDPW4AoAGNyshMQFuQj26oC2riSUJvtyeKln1g7NRuDXOyEuBekNjPQeL4JXSJs6dP2ClDX37UMJkPhpvN84Yx1Sie4mxOI0wyjffSfgk906udeUeWtyWILR7xJvcg09NMhXl1hiwZ4s0Zqw9O2ok+FmbKHO4czpTMKtZgJL3enXiAVB+/b1SliLXi0csyTITDVqR4wfsORYF7fJ3pWMTclZMbzGqFqtc8EWXI34CIMJall4Cj6b950pFcNyQ/00qXpWzz0Sy8+D+vDrW9VTr6fr2/N8sL+5myRQ5QHXVdCB7i7QuI7G+00unLjoe3r9uNvy+V7OQhJOrCm28fvP8/sPnaM5n8P3979+fPz9w3XY/bDTk1RRmo55ihzmCUT99CVWcmln2utiCap6xZawr0oZDqbCjFPmV/hiPnyhniar1vyItcJpPY0GWSt2yUlMIkAWWVZAICQIw616yiW0O/hLfY1sJllVDyq2XTORHM4ClScdVSWpLiQGfPHnFWwnBBWg4QYK4+N0LNEWlAGRK/yIfDiyvDLBOIDhs8fbShXLvWYJJ/Y4CHB1eXcJIJDtEsiRw6T1v1DtSlqwUiFfsITCEItUCUFjyur9kwv2Bdbzdq7DxQsIpCx8UTVgXbwmykIwzbxBJJFiDDm+ea5jEPuO3mq02FMOq75+oCyGICFufk1yfmFCT1DTxUWdCXfhsgrrZ5zlBwYAyvNVKi8kjO1P0suPDHXawOBwYG885fb10GJIvsnusU7nms7FyUxYMHBzO75mg9rVzgEKQvhjfSwOquydDHemqZ0zGdT/6tqqBYx2arwjg1e5Dmg4tfes7Kprq2BWFwMrvw58YFTpkhb9NcdDWOKGyZJwJPpb9bLmxcvUBf50T4ycI348H79+x/eaVIyD88bnT32eY9CHfJfqhiE50cF3rSlrRdmb/XdXYJLsnOoAqeWxrYzMM2GlotiGjsEQpySvrGbBBSy0t0O1AziaMJTGvHIQagVhrrzWlzgPutVG3hxVB79b8avtSdwssyA0tVeXK3CzOqE/ZSce/ezvY0M7XbjwCZvy7toxyyjNyrAYkAixF/ALzeVWy1X0h/dI1W7s67NDI4BAOHWycDCiwkyPl5THTTtfT2IqNx15ysr7sntQkSvJfDbDMR/rQhRLuFiq+NoR1W1V8F8C8Knkt8FkQqA2dt3J7YoMvJqZkKCOZjrqeLHS9UQgyAon0SwWqppC6Kbl3I6EDuexkEKWSqo00bsJpXQrmse02yYVl0NCHaNFJhTwqdnBlqqyCJAJX3R+yCCNXJsEzCp8bfGIoClDwDJhT5klmiVgTuSYEMrRc+x0CSdBjxhWbkOn2iStAWplC7PpikLKoqBeMiXnP+PKCY3ji8tJ2940aUQJBUS2k8RU0bkv7k4ZLieXay0XIxdwqIViYOIJrYe7irAWrvOAOfpBR5LxshB2ppfAt5maJ12KNkwgfyj/B+rMhLfU4J2rIDBgYA0DmE/p8+ifP/Tz9/n5OfPGkd6WrWMc4XP8lmdGtsR34YhDvBMnYr5PqpJ8jJwdIlzVJp+IIj3RlR36jayb8/oLMQTG+oIQAnbnjDDZciEQJmqa44CHizTO/uR5ODOY2brhDKkozXoFU31pDrO+bKKiui1PKy4o2VCtTjNA3C4mNGiVkyGTD+64sEKQgG+2xpMraLCwaWrC0FqdI+IUvPq1yn/QK66+n6Q95mRR8Y2BXvS4617AS/jcQcmQPQCzzmEdyhA0UPtE6QVAEzGLVndlZthfhEXHuYHW6F45QgU80txkbRsdqXlllhOyKLa7hJuLC3Tx9dTHCx/fX90Pnge5ZJKWtdP/9s+B2+/bFSo8uFMcX9iXKqhKZjGFaArmG6IRMD9/+sePc9Tvwbv1+uvz8dcH37vsrgft6tL4qVfBLLCdwU6GUeHknGboDqKsYmVvHXCnlJgZtxVNIOEcVKPu1RrsKlpmbRhbI36R4A5MRESFsN7Zrkw/TTVYrqdc4AudZRAv4SnC7K4CmzsUPuCjp6tDTDzuvSfJ4mKLNBq9y6WbUWuD3bdS8SmZNEtXT5/ku2qxLVRlqYpjzAvnDqQX0y6HCWRb1QsKDmhxAumqXQXWuDzUJBfhqpsCmRjySNKBzHGN64hCCTWywEdG8Mx0Ciaun19NDqoGr8eylQTBIOu1qpnFERFRMtK83FxCntAPO3pwEf4G9dgnAa0BQekS7Klue+RiCLr8ZYnFB/ZXto03h9y6vjqudcEEz6TP8PKAACrjIHPlb3sXyehS2178l/zj2GZSFfk4+th96bGeYNLuNE/ritiPIPL+1bUuQ7gbC9Jdb6O5KMG26EHFAlbk5cj8wbjsrSv7w1VSLm4drNpLNjZCs35Fu6fB6i8ayy6XGOSHW8byMu7nSWzQwHYlmd/D5xZskBqp2RbEQ1eVk5Oeqk8YHRxYqCqt46vdrhbnBX+j/vz4+/M+P6E3qs9IA73r/XlQmXqXOBqzOkKoVUgkfKYBFuvVYCJ0Xdj21wx1QpGkqRobZAXdovlUdg8l0zMDc0Y1pStLu46y0sOmrC7W6yErNzDI8jEbJzrIpjzoTBUpuSqDrHGiVAyvXDGKd0JUEwn9COBRUZhEdkc8uwrVBQwbPibLVoGWy6UnUYpu8yBK2hUoRv+sqsth7pOsBVm5HVTVxI6QCfyLKrivHqJUq6XVUPRbfACUVKy30UuBclEm0uWS3Yieu1DGQC4muyNfCfe/k0AiO9sD3nCbRZ5hwCew8OTWi7soXDDzt57imo7jgtIcosDjvt91Bq4snO9auQgTlkdmGxMc3ENUpt9BTJaBZWWDbRxd6ocFrxGaACfbHjNAZIeB2dsoM7TCc+iNropdqhLFUMyGYGNbJruvpDGQwL2ynXWgMAfqzMVC8pFqmHCbbDFyIHo5hmnk4lIsnCy0cFzim7t7Jf3uCK5kANrm5N/j6D3VRXQSeNzuawcOtVjpy0hUC+6c6LRwtFe3WtmKWSDRxAlYCGYdWhwvqFpYBGkWjCc7ZLhzeoGeRimewm0PsZF1EaHcYGgfTFQJw25AM22oo3rch7GNRRghQ3CHfFCi0/VpsfxxWpuBoeniY04yjOoejmvNS2TL4kWF/XBDL1ck2ioNuSmERoPkNJtlroOZHqPTvzUcBObRhME+cZbV3hhOxTRqoGYL+avOqD8xxWgbQ3mizlHIxXwAB6F/5sCfsKWmNrDOYEKOw/zv7iGJxDwLpAMMIh7N2qTPcHvvc+RX3fcGBKKzrupIt1MLMV2P7/WoRRxVDWhYrcFAHQw692ahVFPjpOKNAVXUlXDFGmMCUhfU+b2RquoYYGg8u32VoaVtFhyaKQB27tVDNjA7hgS3ER8qLwQNbf1f2iBwzOqYLjX8RRRyUPSBq556wFPkiGf8EKdmNHn5E7diDwj7SfxPyB3lKk59Cy5nj++AYpDoSDfk5sE0u73i6H/8E3/5x89PP/2AD19/fuq3B79jfvjRvEt+wHyeaU7WN0pufCeyskoGH2b9QkqiFtEtJDOvuDNKuuHueJYyfoayoOib3uBMgIEowrcAayJIYkvM2FNpY1Qy/CSv/ykMqwEVH2/6Cw/1OIQnMFEZvwJpLXlhSU9BKLcc0run3YdLl59hk7GIPb0SDbrDfmbHCSrr73jpG2+q0+qadylQVXrBUDqZ8NsZSqWvTzRBEBGFXArIqilQRAvcYFNtN1e7UWP3CLgW4ePSAHbTRNaER2NPOU6XZQjpO2MEeshZWcOQ0wNHnuFKMOp1qW2ZD10TK0Fdgmf5yNDGgbqxHNsemnS8YRemYg11hqTGWpEcvby40m54Wa9jpiE0s2zE1K5rNCQoQh5sGGQcDlHjAtxlkTkH26IsoL+a/gBToS5SFLg3U8XnIjOgVvAyYA9F6mgBtaR4vm0ogNSOBqYuZ0bga63wZXyXAibuvy+hL6iaDh93m0QxHIHJ7f1vFVu4G15DSIwh2/Xn+QOWdxehq3qHgniaR7wuhhJjE1LCQQfazksLlb8M8Hv1r8mFlNoj/3jPfJ45Q8COTBtPE9n0ITvOX2fGNMM95nInEtlAmDXYMMSIHFeHeGnwkqCzKrYEEexdlS1MVOKukYo1jvMbzrmsDeaIey1vge6QtxwckOgIiMAFc3OIy6kAaHszWolN81waKQRdXh6uunAdpmhyHHSw0sEzy3a4mZEZd/xHMmDFK5KSOSuVyCbKFVrGcG/4a6vD9u1IFGnOWoVuhutro41tYXeURSTf4C6iyuG6xx5RBsuGpgJxtA2Ml/OM02aRP2+0O1mMfc/OStlLcjmvRleUEPcUu568+RG5mJikjmcXGZYVDw6Qs50HPqWoSPeNECLluSNhLmxkKHRWGGW7whVV+AR6xg2jzAAFXhVQVVQP+ZmqhldyCHoE2NIpsoATfjdO5tRw3HS2GKIBYNgGswJky7m45j8zTt4MFnVlLF71kRnzq8eVl+nM1RcWwEZnBwqKbSK8FRNpZ5v9PGYdhfKPCtbZ5zlwNlvEYb2wYuMGSgFyubg5lIHZYQQ3G9IFHaiSgh9UJZaLDGZLlPcfVc9WKbsTcH9IgD6wfIQYZoJay9REoqJjOdxN8J/SJrWAc5AgXi4VgVAaNl01g0/hx/HPH/7xqc/B56d/fuocaaCxhjBnLHAMHZ9Dq7Iee4w5J+cwvpyxwtkh/ZRyNcSPVFd+KsGa9S0skGpnx4VFTCR0NcTemhHeZtSIPl6AF/DXWSvfRHk8A2lmsGC/TQvjMeJn3h0FeAPH8JGzQbguMGMR44oceguBLwjoQOsub4/jEOJVFf8GlvrBcAELgUPLbikEM8K2EQA1lo2J+oaeqgDAqXZnN+plrTCSvJ9gAyUGGFAzUQzIvVcUWI8GoQS4fVU0zZkUI7rz4qEs0ruoOVU/ClSio0kzVsEF1u6kFcsRk+ZkORpVAWHhU3iKWQPSj18f+Pj1Vd+rHvip5+Gr4ezFjBBRW9m4ESnBOJpZFuv8wFgVRpDBBT3R9WTzi4/mhEHROTOeZGbU49e/fa+/Ws+8qtBPcMQLVd5uo5L8lUEA1+NrzCwfHKA673ygxNW24br3UyOibmS8drkBI8+62q6sZ0rTUfFU1CuVDCiiXA/4Mj/0vNgf0CN+FAt4xAZebz/mEw9t+QN8sb4Vn6pvrFehqx52AS9XVXc/SKIcF25etbpIVw0yjfUu7QzzCNJhGHlfiQDG95BzXeEMB1jUzZ5b5ZHvEw5TsxNi7tWQ2LvlOZWqblP31ZwCiHeECMsY1oEw6urPj5L2w1WKXtWFvmJeEn27JporBlqZfjIcvOD1ysF1P2My0SG94TZMyvUp81ov88YueQXGsJ2rlFaiRxH9NUDOlzgmBUR3esHWPG9XvoZgigF1dtRNmVmf9eYMZE7hFlQsJ2Ugkomc2zAHy2KyEOVAbmjNNiH3n40EMmK7FB9iJy6GNPOuvLF3q70tJoscC4diEeftoLbB2F+IhWN/2OvuRB7nBFh25jKl5EeQk/euIm+aWFfXIbT9xm7HWqTUUDqur14F6cJS0k2xq6pWnnoFIdnPE5x0dSid5euvsfxU/Ymv753IvPOmP42335/bUsOdq1eCWVqulgU+iZqva8mp9SAUm81lE6MZkyH7SDMzrslqnzV+rMCQJa81IdlQYdOxzMypGxgDhJQPURC/ePjPcjz69+8k8K2+/hbC4GH1lYCZGRQ7UyakhfkdrpAlcp1BJMyxlktnF6vs5LFYlxOUQOctccAB72wYgICLsaUmc/vk3JXR+4UoSumJhib2WGAnRSbwNqv8iipu2oBC5jU3pT2+EhjAQ0Ca/KDhGkeky2tv/UJw7XUmF6I+cS6MInsXC0iwdE0gd1qatE0pGHMIMR9SLEiRimRDF3CXaYasIhOhgFrnfAhzxJ25cATy/yhpOhqaVM2BhWzOO7bWTJZZ3Rern/VruDC20rFMpOZIYCj++E65uUPqvJT7N4GsVcC1Q6QKVKWbVbg6iWO/b9C8OLBmSPBq1dIqc4G60D+7FKae5wtQqKI43rjjvXlocmROQ7BmHOmSCUeUbR1bJ4xidn3Npn/ortnyNh259ITEm8cq7rWaGjZfLIwVlHpgsyYjVRYGiJxMV0iXB9vZ1xq0YPJ+aQ/vPjhrJ5jEWNGKhf8obBGirx+rCGkEDfLDIVKaQeKtTaz79C3//nl+/DyfP/X51nv8qTM6xzyKFOWMcKAjvwl4ZJmvfG2ToxzarF1zCW9mF0SRemufDbBaQcRhMvtae1P7ZDZHOYjpjSVhNY8Rth7r7ZiqYOuMOPntdwK6XCvdr/vCYQ7meKKXHXP4dXNhQtVpwSYj3jkmkHw67Npq1xZfG3pXmSxpvJO50g1h0zZZGrDoJjqaPgm4dw2QHJMnL+1MqWTUpiXQ1XLFQ2jL7Gfnt0iMJ1PApFwaAbiAk9CuxcJSI4GkDARDCYWIK0LJxrxKb52pfmw75Fn4piEcNxcXhUg7EecuAVitGnm1s4yxIAO2C4Xno7//9np+6ecFstzdeYNJtoNx5GWPTaF3B3MzOwm2e+xsBXBCJJU3StuIp0kdUz2Df/yQjuf3o/f7l798fPzLw29R8hSe4rZpVQJ6A7oxrMAcBm705zrj0qKUbp8aAo+En9vzaqUX2xZmlGimIOMJkmB3wfRu+26yXiLB4lOgq9Fd/WE9cmGabrnpx/Oa8wE98gP0cQsv88XzHL1m2vMBFPEAj/0CPlBNvsgH7kqE4fOQLzaS71qLrxG+mcRYswUsiuz0GH37g5UpsvF1XqJhA+8Vuwy6wR2d0DEtfs1azmWBDBfYI/wlOtvWcRvhtI5OzmdqScGqWUdkSSBqwNhE0yGlmUyuZURuy75F2pTWNm33tr+3qYkwL1qBPVj5oyOGLWouHtbb/2PhIyRVJ1cdwMdJIstpUW412t5hEutAWqZ8M43KRr4BdjT8m5WSRsB5sQxq3UzeNzrPajH1qKLS8OK+p1B2S2171zu45w27VxOqsioy+ENkBw75mp3qTDe0AdsEwApKgywAXalCZGdbV4HGjtvCmgsUtKtB6Ia0pKTyKsnqcmYIQU5+Rfpt20SCaMQvxNzrChVfoO7KQZK7z3ixUNxzHusnelksjoqJldhTXwUVMPZhFT/87bcH3whQbqrf7/n8YbzNXTQx20pnjrlyXaylllCsccFadpNiYOLtiWmwVMmsSK0a2FLNF5PrfYArkAQWTb2oVrD8422l4UQycfEVpI3HfdJXQ4Xi9lLOSFlfYQsVQqd2ai2OOTt5Z+Ynx1aVkOzSSYsY9uHyxVhcIAX05LO50v28k1rN1iV3Uv6Je5wdVgmhYMNDlAFqEWqztz8U8jYBkcDmX0z+R4GeYnEh82IHn87BvTMOslBWtArFgTbQJGO5lhGLP03eWJxKu2+yIXcInwbFjUTaYhPryQEM9Wx4UYbLHA9N4Fys45Z28rbF/R/J4mWvN/sqa+Qd4q0svmLU7csJsb44OGxyMMF1tgLtLAbcqO/gcwExXOEEoibQntDM5zcRQ3e8rykbVawi0YsieZHEeAuRQa4z9sPKQq0F7GEUO1G5Ydq9W9l2xV2EOfm+LddkQqjVMASxi67AoYNCEEexzAXP9QXv5U9wdmtjncuAZiNzjgad0DZge3d6w2GpOdGnXkX/RcnQHayCZc9Sy1fEuPM9varanS0Q3D5qEDeQZRTeLOZQD+nYpKsGD/p7cznu7L7N3U5u4yMlHGfAn2d+1/x4n8+jH8e/z3s476MRx5rBewaDd16e0bhmHWV7o6aYngQMAIDOZaAmpCBp12QAQmrPku+BREGoZlZhcMcz+qrRITQO8caorT7vE8QXgNiyRwr4YtAqCQcnboFoImJEtFCMUso9K5ytLZ37DQXZr0C3McLAyEk0yMdXOV/cyBxErU6bOnJHk7xOPmUzeYINkhNcV/SzHuQc1K/AcgsZHkhMFKGAfZkQ55+vGI+YaDvu/S7VVSZwXYt7VWQauRD09h7hM5JdsnEyaV2GZAl+KjvR2XWzmO84cGUUrCCgAMxEQo0wRzN26Xk9Hx/P8/D5Xq/XU99WVajsbaNkq7hhxhh/LY3mxpdvQLQiYQ1zFHO0zFRCh8jQOT9/vjE9b/6PH//Qt8/vf37wMTfWccTePOFc06MmO6KwJRe2j0WoneAVLva2wcW6wGS4PfftLLxJyFjOLzrdPQuQhiigyTR3b9S4xy18Kz32N/jVfoQP85FoP5gHeF7o4sts+yk8r9lcvtLTcUFVEwW2q+CGi3rsD/IBHuk1+DCbzPq0Z6cVgXBXlifmls2/Zp/cvDP/1WgPptYJMJ2bmHIkQ4uWi3BNESX5gY17RpxwiPTI3MaTJ4SAtT01gUq06SKMUS7lVQpG+WVB5PoI2FGIqGhcDQKRRDPc5iMN7eoD4NRPmfV1a5GeCoJmB9NHV1GdnxN/PCjz7gZphx9HmYmuymQTpoD7TJZJCTxP+5WWpkygd4Z98s5lGMjtlwF0E1GZfroKHaFvarCvW/kWY381ckmSSTeyT/xiyanVq6rdAuEvOZD31ZST/m8nL43gNto7XKSkeOmCQG87aqXPvQU0+IFRk4ZjNebLMbq0pnIYWLNqJoil96O48jakQBzEVrjzwhUsrBEgzs29h1kZQlzx3SRqnX5ykAE+iD3/5IPPc/qSzeSd7Y96/fW7XkEJ7Zmfv7/P5w8pqqwoqNKjpPiibpEEqiYGsCYQ4Q+jTO7WOiRNW5JUzk5tYNRSZ0jE+95mSxoFnw9JWQksnCXOVBcFDacCpkNM7S5g7vWA9aFh6O3jsEXAtq2CkJUX+SQTRsw3LCWIyQgJGFDOO/YQ4CQJO4h9RojFty/BRDt2JWymMcwRkfSgxciba6jKJdOQr90u1/lOQws85K6NTC6CzUIthZKxBlThPbuj1uNrbIrqjJN7AHlF3IgRSdi1SZdu0aLyMD94vS3dWfBSUiWMZyUe0fDvEbUEurf1jrsL2YWGfZGCRNcltnKrZ1sO7E4km4RR1rbnW0r4SETR7RnNYP/kENgkaazXKKRNXu0tKmm+978ENKRykQ+mCHaRhRKxYsTsLZfWyk0DirCcNRMlUgTXMsAsgxMKblKtPbOLt+fgkg/qrjqgEBmfuEcrMmDOAUJ3xHTgLGqZlNPt3lMNa5XiXtIrF3lmshC1gjwOWjChuMwRJwZBXfomEuE01OaxzViWBRLHw4I3K3QX6RpShZoOwriyquAA3txM0qxKCFmcwAP3jm8k44+oYM5A1pVyTj7O9NxL61Ys89uyEe3MdrmFbCQz/8AA5u1zfN6YT2Fw3hzp/Z6RB5JLhnD5LRimzni8g4tKRanOQKDUsbbPOF0nCGusk2yN7cRRlnQwHMUEPFTw+JiP3ATGltvwezTUzBnZKh3maPtI6kg3Yk9a57BfSiYgMLpvTmc69sATdIlkluJoJzESVk+kIF+au+h/862VK/f0cggGV0qXliAN7apiWZWvui0BydUOxtBMWakjKIAzez6tOHjLB+WbfsquWxj34Y9QQq/KdldkmgkKWdAxzZWzrDzjFZiuV9DO2hdTyIzLsJR1svUiU+Wuj4ioSwNKiGPJ4MymboSTTNJr1KrfvlV/VLdf31hd7vIr43YQlGLex5wxWJjbttweKKBIL94wsfUrMWscFaQZw3zjzIxFz0zP93/75dtfvvF7jL6Ji9s2K1Ea8g3QZNCnFMVeFMZiRZWPYgXeYmcABzS5t7LYhQIm+/AMMP/4lxyC7GylcfR5D/kiX8Qv8GN9s1tq4GmHF/moahD59RHb/Qzr1LB5eqVULPOxXtbLerhe4e94HlXbL/tb9wto4gP4VlUQkzVaLzTpMqqJ6Fa93RkV2Rnr6nGNNElfrTlXGvSVGp6BGlv/VVfbtH87b33GCaz6w2T6vcv2UiQKewEzY+n910lURbfzRRXURQ+D6taqkECvmnP/XJp+Q9amJ258yAavMY6BCuxbNxIsbam+uvsCTHcK62LdS9aq7jQKkNwI2NXxMFFdi2Ii6g0Z96gEZEdCSNPBXksZwDjw0sQF2QrWvxB3ZYrgNs8NNNyMIjl99H5f3ttuBWtAWOwrJ7eRcOk79pF2M+sntDKSwKS5u9Z7hR10tkxkLPECzwKwzinJrtnSeKcz+Gof0nyZ2Y2UUxOv4na7m+7DBctopm4E2l5AUYrypIwLBu4JzgJm7NosMuwj3FIgSVRalTTEfkow3Byg9e23j9evDz6SRo3z6fkcR/u4eNtMcXl3LYFBSslWWtpNpIrslUMBm8xm3B6AlmRBc7xAUgiUyseOr+PuwAABokq2qcnsYymazzS4+5bsYUsuR/uciO/B9Jys3SCpTIK1YyQAZ6lFZSrMc7MvHZQ/GldIAOUFxYVNVQp7nnWvyjVbvWguF04FAiqz7lUVFJvb7NeyswoF6dXy5jocycptvCgxkTckijBU96XG/AX17w+QM7s6aNnX6QNkAsp5/tpFVeWbf8lrM3ovzxQsewqeDtOBHTMX0rz4UtVcLyOdHS2JniGNOBlVAdobOwQ0V44cmJDoXErZZhZVfhwfBJhRJwEPi/ltC+0BkIW8i5/lBWJljshsnzc4P2uGBCZIGPkuBaLZeyeXk/yb61KrJSok8y9dRbFMdMz28QfwphwxM6t3FKscmcAbyU/nnfEiGwfEUhwdtCK9zYmAlInYX3SSQq0wNKtC/JY/Lxad+CPueA9nstjbO0p0Dx3JyV4/qbgcebanaldLirPSoFeEAWGl+RiVd5aJiyHIWcSHjJwiN2O+eHHOTnSAK/RONAxfxHXs0oDQu8ppJ5vZt3chj0XdkFqN8AxkQKTGWJ+H79GF5f4LfzgybRamzFgsgJt1nGFwPLLfIx3qHSWI3uNkgieTaTWW2fO7INWC4JsXF9ozx89OWLdgFudtHc4iJSQ+xjwyOckL1YHO0XmfwTkzB9gEIHS7hpwMAFUuVqe5OiEmuCXS9lPqL7tf3DoCMs2HSnIyoEK9kuroh21lermqAnIPC2i8khDSaQ5DR9udMpWcb2xyEPZS3d20WtYu4XB2BAM7tcOtuY3Isk+oegB+CVvCGpQcc0komKUpmMJtPJdn8L72GZtGdzJfbMJgRyHuMpI1OALyB8ctFkY9gzkW4MazInX3qz/6hruFw1tr4EYEAWCWXmphq0y0aRT2zK9AI52TkYJjz8z7PZ9jH+ucz58/Pv7Uv/0vf5oXnTS+BeTM4tBKvHEEF0w2bLr1lFfDS3+zoCzLImLlWdyqopLYJjaXqcA1VWXIuRtjgx6wC816WMX6AMpudxr6D7qBB/NAkdKUDbMaLdPzwA/1Mh6r5bKqk5HPF9xAN1tu+1uhVS/yBX9vfRjfgQ88vz6vD9fLeqQaRx7qjVhfEtrVWTLWOxUZCFwdsCP4bcCENQOnABnEKmSCGJLIGjvf4mNstOxtlaeTmpKBqwzPnr69cpzeCALqeeCR2Q1pErWQTnnZWK5wISEYhVZe2AXQgD1jCuLmJXm+FJd2BGj7M4fERd0axO1AtIPQtkci2fv+pWO/elkOi5hJdFSczNuYeEWBYRu4Mg3fJkXs1fJG/Iebc1Mb41qQ0Pnl/zIuB0D/8hnsO0ugik4kVcDABjAeRgfnxeUzklymIm298wCQrazR7jPW1mLEFlclm+NfF6KOIygE/ILIiUOLYfI+0DsjXlsllZ9FXzMBhYJms1LzLZPMaajFfg3UHXkuUZN4Bt213UjbFxgmg2BpQ5LWlBqoTLan1Cz6m/ntqT+RL8w5AnVwPs/51AgTu8UxWK1gPEY9ngFKIZXg0FTNqD8Pqp7Ur4rqo4o4gIAZn/HuRjpgWqHZJw+6tvl6ghRtmnj4k2pLohIZvxqacCGSu7iSAu5aVsCDJZ64CBfSpFc+JF+0PpGdC0DTATN43eJXGoMcxDu1O3QnGBZ5XJ3XbWVPuB0oH9OdSEGApowuWOsUy4dTCR9h1uKlzU3huLmdORjeLw+I6Kmk+wKQMlubEWWuEEo+SI4hYRrSmAl/eRLgBWHiVMurlqFcO3fn51gTjhGFxpihorbPjXVV6Z8EdfcO2TZr4ylq5T7l5CeAvun9oCvu8aVKElkTIX8GdciMul9tQNoLyif9BzR0dMdXNJk2RExHykYpjNJ24iMWjNqkU83TWdyZjAgvzkh3EmRpHbAJAAM/ltisZOd4lbVBU8doxJK8EoxL5mWelKuIrNyyMwhoQai8xPljgtcfHI55mwbSElfRVJBWZ0Vvt7eXa3w7CcGp4hm3isnFS7zhuoSY1rVc12stTInTExF63bNbNV8bh/MamKqBqEJ7M9KSQ5fbJIKUA1W1PYiGbDiFosRqMpuPL4gWIUeEV40auB762OWWAqgQbFkJIPKwqiaDIg2wh8O0oMaRiMeaxl1zIxo+1pOo12ejuwBUJDhpgU1xVFUaq5c4q0IYQfrJt558sVTYnRuTF5JstwEr2P3FVlckYtA9Jys4lj0ALc2uJ76XedIEXY2DRIjGe4HCO5z9yQh+Xftsjqupq3RLLZlLlCx3HT5sZf7am3QR46SF7TOkcMovELEr5rrPK9r05t0lGzE3aFiY6HbTIMl+bBENq1bMQCxMV4XDy42GhkI43VweWBDfSLt59WlxXMC1W1JpRwp5jfAmEznnRimeNa3PtdqWiYP+QDYvAcjrmatUBjBPcY5Zz4GIMUqBv57qj5fOz7Gzh+o1Ps/uk47gR8wTJaolFbIgPnbTr04G+DrYOXa3MdVhP6LK73qfOR9Vgx8/zse3qn8l/xX+3R98ndbwMIHn7mOwrFFssDvtY30Rjmgj7VyjA37wwt1LzApfGleILOc79EIcl9rZp48FZsjHLLsLaJZEsMozydFOP7i3rWGOSTwopStztaOhBuAVZ00X5OkuGlPqaMmPTna5g/UCRb3QA76tH965ZHG6ukRWPopKQAKYpMy1lGeLPLaj5cZ5P4sKF0I4hvpbbC/vybIGxmAaAVMCueewUxu11URusOImcRkstggVUdG1xqeZmyZfa3vp1Q6x3IbbxGqZo/FciWxxk9IzAxgQTqII8tgvQxvymr35g+k3tt1YpOyqv4mKJhkF1E18sbNcjF14wvNyR6osjqA29W7Da1BM7h2XF4heZMMMI2EkNmwjJVLNjQPxhjTub8Lg7oJCWtygE9GH5O5HXRlImB1jPHQIUACkXO4CU5HShAcVkK+8KVcBQArJ7okiPz3GgmUJE4t6IiimtIBORqv93bRNrA04sB0RNRefCO9B8WvqyeTl/M7OPSRC/IpIjgM2R6gYaVfEqIGA16ypgmzXE6yrXFVVv/q3P39/PR3FJOT35+jMmfFYNEocaCIU32EfyJNAPWzgRZCnHptVJT77QQYlXQHi2AeJ3UAYd9FeQWnCEvajyjdc3MWWYLGSRlURoecHQjmTZNQdhU3t0x+dPbDi9kReERw8WYWUKuedrm8VW5Y5+XkF1JXCZGy/i+hue8hVhysectYFM3O5hXdBJWTXxlXq6xKAG/STBFoxa4iYIziDjSLZGbVVFyxCuPvA7gMbVfmxmOFIZW2k6n4Sqq2J+3z4ReFG4ZU3FzLxlUBIh3zfHy05dhdvf7zue5TruFKEjDb43g5j9yXfzPP8rAbFNr9Ytajits8u3OE+PBV8dxEY4BNvxZdwCO3lpSgYuHXFREGNKGurXJECw0Sx3lvzI+ImhERg/pGMgUV5Omj9wIqUXdouJM84UJCqbizL/jkDpYxul+hjo5IjbMOKmhTjCjhD+8uJLSwdul3l6I6iRGThjUwn4yJdUb5gNZGQCE8IXMroyP9rltvcRnHyd6LLmcEMbWBwNCMejWS7pRhPPZLSqe5Zny0bCx2HK1tmtdYStU6HdYqtBdyJI4764cHD4vM8XYVCZ4dokRvgihNxOUFQI4j2MXGgvGNoJtGPKAhidE/yBqxd7J1aiQhVLI0UI9ncZ46QzxZmjLfXhRB9XGLlT2rSE41gPEwUoLGzoCr06FB5wMQEs5haAleGJWjmXON+vkLUqbGlRBdiw/QjwW8dfa2RIBKkKY6smtLNmch5rYvYgu7MEOTOzk69VKBqXC6Sy6N0lykGPtIiXkGjjbrDBww9JFBPPR9Pf/Dp6FrysSM/duRRMFiJZwjTbEg3eV1/jEsGdhMgAMsSKFbvPC9bWpAlJpm1xEAX0CPWnM2dtG7/i8GGTpclaWBK0JSI1WbIGtttJdSIIAo8clJXrqXnjOSDGj3N17dvr6qniuXno9lMrfTCnGkkkHiJOzfPosrBXVe0s1Aove8Rx2gLPON518/ff/rMOdbn0fz85a/fvv3lA48L7GRKEX4C/0nljqhlHRgiqqqaqC7CTSehBxeglTZt4Qu7jPsq01vWMeeKWBvOvSrD5qvAR3yYDaZFRfwQGX0tv4pF7bgWcTxks17dr6rX8zzdzWriVWjwSap/dT9uJr7hPBDsh0X2Az9ikd/fH792fTz1y6u+PdWJDgKYfBAUsrAg2EKtKCEDl1kRUl6WOLPQE9J5XL5XBJNQaxLNqohvaRKiyzWw6exqUsQBZgenNmmuuSFWerCA6HifndwvYhtnmjqXKpJLlrGNWfzGxdcWnSv2VmHYiCLOrLVPbuktYtUnNtmhK8tjl8uF0dKnBbA38fmeoSY9GTDyXaa72x4sTG7oBbL3TeO6TRaCwGKbtl/LSxnEEx5ckaZZrk5dBGcDmsIuVsQhgS3y78VAlr6nkSzLfHuxH7dXbWKSD9NnBo532p2IMrzgamzMZl3gRWgkyjH4nN3eFrZ803ygPIWI7GgYhUKpnfnEufmrEFTCpQR75M8K6tqcjUgbrwef6V3dLFkFJsZcvFHjZ2jW81F6H93oCDw1AK3qfs6cRNc94fIa9hvPA6BK/OWplyD3z/oxPz4/zzmAeixojQJ3LsrWiYUoxuyxixsfqTzfjCbms2+AV/4QgWMYYjNS9iV0wJDQq+6KJdxeTjqdQmmS140FyQM0lhEtSxMzZDCOa03NvntN82kj1z+r7InWRlXtxDwH34ALlEAKEz2lxtXJYIRJnCAIxkMGu907Dxk5MbUgGSL5BEIW1H5xCHCJ6uU6QOKsJpe8xbHA4g4ZY3RlQ0jJ7t2MAMb0wKCBMLQRzuaUk5/RrAhbBAhP1VhQKH0k/WC1Iov3JLA6fBU4GiTzP+hyYz0ty++7AKjd9jCXn9GdGguseMkgq0S0R6qUKjWYSHWAnF3BlZk2n2uwjg3yV7u9r/teUow+Ojond+ZpGNnrYEHLFiAx1+EztW9IPrqB8xBoVxcmAKAvSJIuaeVUk2AIlF0+xx/P5YquNC4DDYs4yf0Ap+ppkhNFXLnAQ7UbMQKoZ1yxR5c8SYjG24eFGYRdhcgeo4k4AFwqGkWe2h3a6XINdsFyFqoJU02n07ET9X19gNjcGDbp0cTJY46HVbM2RqhRNk9V4YRCy+cOEmeJrJS9UB2xjB8gsfP54zkKadJ28+vEGPcExKhqgqrES5CYcXeU4g1ONgr49nYIA0biWO5uOhj0cHglQOnGWliOP68YRGDE6oLxbJsUX6jPGsxDYpstmU83fYAXKNdLNl7VTv4QWc3CeCVJFVMKz+DVBDnL+YJDI57pyEi9ooJ7laCq7LeHF2xS0mhUMvRm+IUJnhZ+elo1eX0oLBrniN2EaS0iPhE2RXKTICCcdq7bhNIAcuj9nJHshQ5kvix0bL1VNeqK80yFjpzoBP9ABIqqKIYwDUTjlh4BgSMi9rIUVJXHICHlk6WpkObh3wi6Q+qt50btTW8Z3Hh9kAtaLwRcNljKWrGD4ROl2TqD8KY+HDfgEnmDSHLzYYV0M4gxAlPbn63v/bjcD57ffH6yTJ96KnEAXwn7KdWVl8M7L9YEloLgB3NYCUsxaLJLaXzfmebJ4s8+3+vne359ffSbv+uz/0r+x8P/A5//0zylTpQQiRKHJz6NOLmd+nF5XKMpVTiGZESBaKVDJJxI3MmRDL5pqaOaMWo3C1lmPSBxnukX3H0sfzg4s0U8LkIu12k0WAM1POATg29FJimgiwJya/fDsLyIm9pfF1MImDCF+XxIPcV6y+Cr69M0ftoSiyp1oAfZZJnq7cxDt2VUxNdaKFwJXIDdfsoiqzoYAsu9CJqyAHs2aQ4E6AcUcnOqYvxgNIZfdI+YpJ9oCC4G/PC2QIXsUraJUvJMEbo9EBbry45ZA9cQiXLSdq97lRftAbpWXQwoWQDYi8rdK/XNjx6BpQNBcRm4hLjTRtZSqFCajw19B9ZszifDCGo3dDsU6g13gAPDVF2ALfTDWkjTUDjpJ2sw4aoQ0lcbs/KKKPx3WtOKX4L5wS7GTL3mB8vIu7WSKCBSiS9tDIAk6WubdC7+FxDuioDCC8EGol4Gwlt04K10fcuo00QzeCC6xg71Dnnj4YUHEKsGphXpwS5GWAKkO4q0jFUGutOyYzJnyDC7OotFD7+xNemHJfpxNh+88XI2Fg9B9Ck0Kln9z58/Xn9+8Jr+2T+PPt9+/z5HI88SoDEeKFqJ9PEoRcgBdNWOhmWw7c3kK3Ddz5HfbzvsrKFJ7lkMYlVzJjjy3rfJik1rrItNJY2F2WOTt3eplZAGykKPXFIVb2UUwMH5M4SWMRzwgdGgIL45IeRLq6AgeslCW+KmI1R3msJ89MHxOcZD3jpJ+KIHKkBulK/lMW9WbrzQYwBkbVQbYKrYuXh5jCZ2k0zBM7tgTjTFszYXEFHLBRTsJ6LmnHjCZgvDzUbdtnYZAZQ8k1pdiY8JtkGDI3ddeVzeQhvF8Sw7Xstm59uia4G5XYHqUjAJGKqQkhy42LVilijnfefnMt2GvE45bGlaEomxcQQlz2ofZgigv+oF/6DxUqEAtm3AXaWdRgnQY8QUCI6mugzqrNItPGnWoEZWT0Rina5NCYmAsCLLIBsRHbJpKOvGYKKL8GAKLzOTZJWQDVqdDyJIH2XnEuLIRLJ7YSfGzdKztbUGXtfkSt+Cu2DZ88kmgcgpq8xJ3IsdjTaBN7YHitD7pC+1tiUDeZz8HVF1YvJLQL6vjFUoyzIrzpzsgFYaiP3uvMRlhb3IDbFEe0x7TXajwK5eUn4y1OldM+IL/iyVmrVoDpjGzgjkanOBdnhdUUb5LASs3GjUCk2itjpX0bebif1fHjmA/EUgSiRlT1EW6Nl63HVKQVbJiRhM7mfs1xjkQw537w1X8BFd5gEqBOWRIgrJhEdpBqCqGye8z0hvuYaw4h6W3f2FdF/UDXuNtiu92cpv7CM0SE8ABRXZxspzes1OxqDBs4I0JzChGKPIwvCyMjsbbfQauwG6ulp4nufn58+YzyAWqQP02NkNkSCrU8wCkqfWA1NjtRL7YuXRgEntWczuYogLUOfH4271zMe8WSNh/40qjpzF66Ex075mN2l2XzU0LA7I8E4pHUulpYSAGsTBW8gQZdZgzjQaVU9/4JXVCJqpp+c9Mwk1MdkLk5aZLZFm0ZODqiuhCoCYI4DV3DR1SgAHfM58/jzz7TyPX/o8H7/UX//2ev/r93/+57vfZZZ6ZsynnnPUHeXE2ipQdf1nKTLegDiWgC5bd6w3tj+GNqwkKtX4PjYIkM9kfQxpP+Crpu1SxI0Ap1yvhDxGlrDiiWaxw9jVGEzCXeDuKhiDJim0a79LoukN0uki5Ck8KjWMKVuj7lc3S+Q3Dt1uTLa3ATG2Vcc2LqEW8wnbUfH0JfUuuz7t7VR1Rxll884oQh4nzYp1LjbGNNZ5D2v9H4H1dypXkMl2QmqAWQMBCTzR3Fz8KoAA7/1TxeyocEeZneY+wem1eXHBxgHFvQ2AK1nFTjS1EplFJW9naToCdzpCiKySi3JpCYUn6dz7dy+PSQlsd1OOZCye4TAVjBMxAQZlqrRiqZ2lQ2GkMHLD0m6hjKAlIxIL0g1j876Yy9Z4B/8n6vIVMDKLqtf04I1srOUcsCjB4hBEaYZaLIMXxotuI23N/XL7o6FqVUKRIrLg2GBGuQkwnnJVzMnbQX0Fp6AQNZQbkbmvRHrlQDsTpYS6gESn5+7rTnMKkzKKqiGaM5VOpR8uiuFhPQTQU3yiIaCKeOrb9F++/fofvzx/6enzfp/P8fvHmRkdws/uma8NB0nD3sGECsmd4lgvVgpsOdrJrpUeAFuDTHpER2HQRQ4itueMUCzVWBsrNam55Az/IAXI8krsUpsASPeD2BY843Sp0yDs697MpLoRiq9WZrH/ouIKErSEC/VE4h65uo0mNAM8tabLGImASqYE06WnM6nVSTlWzjh1ipU06dqQimix8yYm1oeogkYGK5ISo1IY6DIO2CtfjWrvi7NfWQwtYVsrlCeRYdNp0Z0aNzLgqkTpu9ed74gXU2976ZWYdL8EQqnr3Jg0j+KTuYUqQ1vt4BcAxIahuqg77JgjizTrmuOWo49PIgVNocKvKsxQTPInmTvZSxE9VJq41czky8eKgKoQfGG4l3sy0uHy68Mvd8nTRlcnmMbL4BeB2tFDmjvrRWz9RnSD1cGPxaqCJssDdg3uwhuhfhcDWh+gGLYx0FTM8N5QkwE4selxltcgitfVJJJK/PaqUxMwj61GJSU6PspR2MAcrLd2Fj83OZqzgbGxlfUMTjzhwmSgYqnKVh0qxE3uteivd6hPnVji9UAOOfXWCo9nlcezoJa6WctZnKdeD8hVFsLdgMeo8Rkc1OMTCLYy/DAwyH6egQJyfH13YSqCb6hYwtA1YMd3TMyIy/uH6gUntmxFFas1QK+gyQ88fMgDdRExScPPrqIb53OabvJNNfCJLo/QD5KfdBf8oOEhEtzPPKlzW9SMS9QBy8NBGT6CR3MCyhDQ6rXCXF1BBiqxIASmoieIoYHArE6vJvG7Ae/gtZ6LT+ENloRXfLJYfnLRL7rhiRH2efnAkKsqwG1J7LZVqLPSHW7YXvSsLtsdS5BqWXRujSmVOZU0JWz4DPEgXgjnOre4Sn+wuI6fvExpdvOuXxdjbTtqKwO3ipy7KgV+2PZ0aHOF8Vx8tm1XKbtfsj+kxBPtW4gVnwEKT7nt8fOqqcZ5fJ7DdyE9NVfAaCSYXpCLE/Q5vRxTEUIjhxNZefeIhNGS9MYbMzijp2Bh3p+v3/7yy99++8fzn3rg0xxU+cz080pwgndGymNaaITXFvLlRs71MQnRiPlNy5xSzraOA1Qo8ZS0QOgv4AHa+AixV1Uegp3VHkCzw/h0MhGKGbsgPnq52NnnjWJNl88EBB9IE+AnM4QN9kCGX08fxUfymG/jRcpTbD8AzcaHn/fM+acsUM8fIlGXMafUsFwhK5NtZyNaqlyqWQLspaqKiUFJtugqDUNHButeTYmTGgdvG+7NctkQua3jsPlJc7EbO/w/N6SXV5N3b3bbVNdG4XIv0rLWxLBKms2tTap/OtyJipfEPYiiFukJ4Jq7s3kT3tOG3w55B6/14XhfNIGYL3XxZv8UEG55FWzR9hIR49Ak6vHXDtAuBviUySoUKuIoKv6JSk9NVyUgfBV1vQZxxMyTqQAYbCwxsPKQfK2lsC7nQIYuWPlVLkdqk3ABXKFeg3WjskhGcI0VbSHZfenayBsMZXgzO7zUFthlNDs7UKY3WBl2MmM8tc4KrK7BZDNBxzsM0OXqiuLkQQHErMQ4T7HKpvB614f5eqMGD6oLfAr4QH/zt9brwffyy0R/x7d/+/bbf/94/b34EcbjmU+c99FnIj7iWqAnJsCKbzHIrvI6xc4awdjaPFxPhgFCVZ3hbKuwUFDlR7fWC+oxDyakcQkVTA+w8JBc7wIEaN0rQW5jJSEsP3DfZLugyMHzg18SiTxAGaynPevLIHy1nwRWJhuHwSgMAk04AssCq45sqQpcyV6R7U4wS6brIQxWKG2yuDq95OHEf1sIWbCux/AYq3nPkZvMNMwuwNiF23cmRYrJw7S8gEGlKWR28XpyxB1Qy4Yq66CK92ffabMsJkGsbGDF+UF+7kLDPHWSrK6wa3l5Kh0SkVVQ+PrHzQd2upNlkeqPnzdQNCPTTlpezsm0wVCrzgy7mgrwEGY9rrTBSnJRBIEmjYvww66QOBkk4cTyJkTVlXidL7+PIGc0Xf1RlGkZPrUCn53y63I8KW67E0OjWUXHupuzVrDDuiKBPoj6jgWu3zcwUM6iQV5xdoY5M5pXKa0J9pvwMiLetEYIaxQGrj7GMCPOMjZ7y+MDOBZTYrLeTdCkh7RdxxjLGAsaHYFfz3SMNc8kmMQaCRrXkG+vMnZNBTM6yy0vAuAqV+jgaArXPr2JwTsqer8XGq7Cq+qj8HqyDLQzMd77zvB7CmMbMSfgYF/tpCGpMGMJ7yO8a0aS78rwL5jOS8KJ6zNLhkgaZDDlfoc2J4sWNoaZyDihoESgxBeUGbvnymMRvpphNVZ1YVBVZgEdZI4CdKyqDb6J7BeaMyqLP98jW8LWphRSAti8zw3YhMzJoLdgFeC1rq4pWzEYIxtNNoWbAl8As+A8/uG8PmBi7dfsxARl8I7tDrzB6pefZldQmRwYGMgTgXMMaeN8KQRSMBJDGatk4hIWwfFk7yqLcz0Oe6H7VCYIpDDGehi6Jc4FeRZeQ68HxVm8tsDDUkYO3Zvku+CotJFVWCkLVXhif/SWJ5+Rag3bBEt+EaynWF18etnRKCiS178/LoPckQlnDJ91gSiStS27B1RhqKKHHuDN+QHNwbzfnxyL/3L45yNOsfxwsI4KVBr1qtVHGIUK3HNvyns20hnj4QINRlcXmC0CRRS49quBUWKxE3322A09eSEx1BBs1kORbtRDNJD/fLHa9XR9m/ownqoXh7CL/eB5EVkJ6LFR1Q+eV3UTT7o46yG6qHEFINmyOxqJ70+c8fGgUd+fj9+e+oV8SqTrkEJXCddoVSwm+Hb1BQBMxSsGMrUQ654JbVj4cihvmhaRUS7cKrBL2HJLcJ1ngCvJvZn1QKh3woj120/629q7CkS40sbF4OK8T7hllBXlaIFy75Z9EHy98rGBJE22nTWzwtXT4aZrLYToWykULA3oxVZkoRpjNWhmjL5cZm273EhS+/qUwyWlzttAqXafOgpgNQBFf89OBcECfroFFyvDy3vRzmYryK6SJmlO+bJha4rYdNIVhuxtLV55M/+L/yHQKzRf2pO9CpgPNbBdZAXYGyyjGbE5A+G/YnAsUHEg5HKq7Sa9TxdT4Gy4E67704gE9JFM1CRcyxKGifavVXw1IFY/+VCypngLykLCeKWcmv3UyK7upo1BFU+0iHXqez3f6i9//+357/3rv70+/vaBnveP0o/BT38enxgdqy0BqIoqOR8zMZogf9x5KWivWEU8tee51pEuA5Q0O/WEPPMqIu2paAaukgFzQI5PmcJZHXBa3mj4MNesuw8a8MktIFfno/N1inr9F2l18m2xNg4m9CNvux4BR3XEC6GLBSzzRHG9IJU9nOHWmAkHuCu52JrZ5NecnKK9ZyPRO0m3nCv1y1sRnRJ2YFWx7F39EYDIcyNocsmr6gvPacKvbAwKWYNIJSI8PsSG8D2EZ+K5D9C0RiJowFK5vmASyprOz1R7su5jIwuunUWQBJuIwJ0KuK9tEdPeZFJk0LeX4wenqqkAxEncFxkNoL4SsKLDqpsrlCNVHMwo+u1AKrTc7YgFPOJTHiOWTLI4Jn0yM2iv95Xb6FKLEsASDtNeZYaXkceZRi6PYLsqtZI/UMfA+7CLwVwdDoW4IEWIIBYvGHSnibzIHY0VBwBmiji+yWOKU8mFEPWL4lmxWfGKsyNxs5aEC3pzZNahWXBBzk5ZHGrhjFF9EDHzBtJARIuMwH4zaEmiC05oOlmekL6mDUtVBWGwsQ6EMYodLPVWM8RzNUgk1ejceI+hwsP9d6yFROuj+K56DQ9Kfq9eZruyKEFX2GkMcWSM3C/Sc7TNDv0pFWhPILLc9roMrd22740xWZq5N5wmbpmyjpsSsrbYsLtqZNv9FfEe1SF2aEDc5rM5bzXeuShD2M5LdO5hL41ni3jK4FjmY/mckZltwVpJYeCPwOKXz84AhaazqmbVXI0eo3AyFhQWlAiOu9YUsL+i8K7c1mLVNcGETKuyAOEPsxGbVD/9At18ut/zWWgdrGr5lv4OV1FJXcYKFUJ2eyXFWNCTfqsa48oEPO28gsV26q3uNY2Eh5m1Fu+1ioR2XGVvX5HgvuxrtdwXOjR3oqpdbLthF2pk0htDF9RJqMKwzwyrOHo6qYDFF3gqcmCwE7y02u1F9qvwDtb1RZ0WKusXd+jahmZFTqZqypSmf/7UxzOf7/PL56sf8eM8/1K//u2Xf/7fv+snDLCbVjxuclxGlVK8FEBG5EG6Vxvs0oV40/quXp3tiDewgigVkoQDe15EWw0+4ya6oCChUVAZVVUFudpFokk/9cqw07kTbWWDMgD71JOn0QRU2xoiub1Hc/YyCswqV7qi6pGI435J5hOiqeVf8Aw/B7Z6SnJ8+mTfGckB/HIPFo0StQKdSP8LIUF2wqmgianaCb/MY7vMM87qQxzOEcGEKoB73GK886291iN3PVXJr952IFTQ1xS/jIARK0TeSUdL5uhcxmJVtF7R9dDZrKa71bPyKSoUeXml/kBkfx4sV4f0zXPJ+J0qffvoSRef9hre5VBIO58OJKWoVVlusZNFhEeJUcjzxMOSCjVBVJaqJ54vXrmInZSDqObWSwu4opeAhMFSTfYKQxAZB7xxKzsW5SznRhbIhLikQOx9UsXJMtF7TSv3mHdTnFewwKBIYE2sk7p+DVJS9ZYzldu53YU/fMxfdMsAjF+OpeITYKELyQRauHL9PN5v4FX2iPUCOXgN1dTbdJu0Po/9fug6H9+e/u3jt7/98td/++X1V/z6y3f/O/Dg4+P5/Hk8b2s+55zPJAH0KnqdSS8l25rEn5eeopwsqLolns0NK11ONxJCT06dxWtcDSYWCVnAtHrCkGyjWLH27aG74/bwhoLeFzJvaao6WdtALgStHYAdQzj3njXtakTsayLGIMIqlikZzadrvuS/guP7iCJR2PTG1dUFSebO3HGzLbkWIUmOZeJKJoyfU+H2jOYmTpEmNNUA9jpwRYlvWFZv0iYUGVXA4JAht0zsCzFQmZgyhxGzr6Rtg7M2PxqZbFailnkgrzTl2Xw93bBPAogLQtsQmKDjEQtUtA85AWKz9Yt0Njp0Q1+63pAxQdIjBrRQY3wAh4g6L4cq6n3cppfG83xF6q/gW4MdAVWRA3tpue2WmBGpD9nb6MT3Zh/yEdSiI5ykSQqjP5YnCAlwJRlavJBUHIAVqewi2SUyUhdmQ84f4gQPu5X5zdEJ2c2ypqsF8AFPZ/PXaq5TdAscTHHMxmDZSXSwkvQKZbOL7mjiJ70QoWxFzaHDlKKAzZRb8PFm4BnwOZVV3lnJGhwjrZoWc85EYAwJTQdmzDuQmKQ1oTDy+1wpQNfdn5ImbHVQqa2drprUfNkoyoOn8Lh/4jAt1BrB8kW+um2b3Ou7iDlK9Db8VgzS9HL21D1C4ujCeLlCpPjBToHzStHPbjhOgXOqGWnCaZLnrIxLiTG9RgiXzKYPj7Ok9RnEhexsxmXXkaMSyPGOek2gInedBEeU7XPmU+NTQEc5KEC6XGDifsgEToZHkdnFcRJYHdBB0VtZVS3MgN0M/cBr4TnNJxhNcMHc64IecFYNauoAM10tV6FR7AY+Xk+VP7/7nz8OtotKt5ltm2F6i+PEd4nm6NqctK5Y03Yj8p/4TYCt+FveU8MKHBgVisWRF8JtqhPa/6XnSD5LikUBGOKB56aIpcdzdSKiGYSo05CHkUnz0uswzLm1PVap/GQX4BSqmv1qfcOcd4kS8UiRWBrgQfWOLFoAzTQeBAq3Y0Xdqs+yxkV/Sq/z4GfNd499RnjX82361+fXf//4+X++8VMc/sS7VdIuWswEDFs3yz/vpLcRWotnL/G5cIiAQlmqJ5uMSVjwig7Jqjo4qKoHftKbDLpUaPaU7nCBJsCupnsqeRIMrxj6sznQA73P6/WI+ui03T4EgUYZelx89ec5OtlIyOSCg6pjkzU19ijsDKvgGnyrxz1v8a21JhzzyUVQ3nZEzbUTBj9GRXFAlPPod+FKMA8bxlPrhSiUKtCQDZBSmRPMcUX/q2NdRQDIpBXvhRDdApllFYtEB4lfiJiLROMKw1aQnmSY0De5+BO/Hdd4Kc14pJLJhU5nwL6IQUr25OXTHTG0TyNYtrVWclBY7DSEGI10TfC2xfdndLzoDRJaCWbaIzPzEIDSzfwGi73DUqaZhwJ7RSgbgL/kbqfjX50877Cw8ota4SHuL0QrqC+kOvcEZDYu4UxGnB03zkaE2qpGmWccHmXb1to+VagFMK4b0YiBrBjTtbTUBOK/N0/yCIqRo3oFXYwDC8spBwAQHl67ADMrT5UGhp56pf8gjHo+pkJaq4ifRzlRJXz0x2/4/h98/eWXX//14/ufv//6128ff3qq/fE8b751rM+3fmqO5fHPd52jz7WDUByrzzG/uj2mdSOg8rVzI+HuL6BY3TkcebZQPeSw1vsAjePGZPKOZKCeHdwyw2VYjjCPghAMQuUW5h669TAVbyPhDPIwCRQ57awodY6FSzXZdII9z+EAvEkMWAsrsq3MvTMtSjvHo0EnWS4a6UsARBaQw5D58mLxLni5IywlpEEtC5SBNrJZNnDKNQ/TX4NQYz3B2duAzEWaNFcEskw5+cLYkJkxyoskwh4QQiNal0IZSmtmb0rrhNgLKsEL2A/qZSfjfZ8zbnRYLsJCshTZkwmoYvrf8Ziu1djl/n4D1ACs9h3HY39YnxlZ0DzVEoDjehag2GNmQx3ohL3gFEwMCl+R8o74R5wqbsR6LjitaIOkUf1wBr3dXmkZbj7ChmBYQK1NT9zykaFHNc2GUi05HkDXG09R0rMKNo+2SibzMhEHFWq5esclP1Uao0i54IanrJOOORiAZNREPt2LYtpptW6F3/FTIRRyNVWPY8TLOBG9U8pnRebA0SpEPWs5KR5NsVf/mlY5n/Btmbc6M9cEh4thbwVcQijvYH/9JZcq39rYTVQKXG1d3c6EBTky/Ibl1BHbJxlbA/SSRrRoaii4FphJw0K4HigsXBoDDAq42EJ+tO0GAr9aXoPOUD68CV74A2cqgx65+tCvqJK2qiDJkp1o3IUg7u2a/FLQgM/AdWhoCrzeICPbs4/UtHXEc/B5BIXAniNsJIbXhdFS+uf9BmCITZ2sOSfCUp97K6MLMUdmSrPZAYlpoYnhNSx68aknHRmwC18pDab6CdDlYtWr0K9i++OpKuI4wR10AVn92DSVvSvjWnl5y7feDaJTeNHDNWFgHTIJBEQC87yNyrL39WWaRAfEOMOnZNvJ/jC8asmChSoSxAvS3vfMJQtWMpB6JKdtoTfUX7yObuSeYBmHoHxKxZpyiV3PN87b9VDvbYh6D+MS1wFBAzgydoOv9IucSfILL03FPkBLZ3yG5ec5rrfP+eSLv/z9+4+/ff7n//OjjK7S1KUhg7RtmhurIKk2fyKERxBcrcrEBKoZXU0Uk/snisGJvPJp+6mu5HIWVhBLwGiRUVhut9RMYkGxq7mzesD069H061sV/LyIrgK7qwsNoCiUz2E9NZg39fme392gOmE4qS/LrsBrIRy6DLye+pPP5/RPgGQ/x/O4ViICBPdKBlb6e8MdK852yUtvz1cAHn0WV7I8tT/6HiPszJzOaJXUlVq44X1OIigtNjwLSzyb/viH2oG4jeHqD6QoWtJiGkERK0aqCPMCOxbtuI9oq331wduP+IuYo6GI0vF1u2VM9Q4ujoyE2OUCBPglasIAvUE8e6dFVcl6gAP0Bs7BGTJjq1sDBb+Ub9rmPDc7NiO9aPQd0I0A5M5y6gkWuZnoq9LlHkKDN8zIBJIjttBpNEJ3GzGv3OohZiXRafqifcgW02QydZQ/6S92TJC1vHG+loo8uZeJiqDR6DKNN1U3zi9FNO1qQs2ulnmP086cQQdUQBN8jUVXsUVnAeAp1wzP4aBm/PBb4S/Px5/7lz9//Onvv/35v3//9d++959R3/hTc/Q+M/rn5/v9Qh0faPoc+JwZfZ6ZT0Tqsc2piKejQy+366STbNRmlBRYr8rJfei2I9aoVkivE+FwmedOsZLpg1XNV+hviK5Mhhuh6Q646cWUiUHK+eaZYZuN3RMR89uN0ki9zYux+B78MPopd3i5IpZTSi+jgG+1/ypDpwdW7xpNAXAFMEk6TKZeGLtWiyuly9wxG9h0G9hUIUP3mMM24loOhIfQ8p2+b8V+Lnt2UZ6QIKLgOiFA9gUy/QgqR5liWp9L2GPAdEzB3m+LFYViae/eHZGz/uf5UuHVItjGCImR3p4TS3zkR7cRNfmdxcBLs+ysu6Na0IzUOQisqP8ScBA9UPgYbCBh1JSgwKYUUpbgwS7/4qojnZanBLRmKxutBPzRSzKVsZKwLGVS1gS5aRfX5L5Gc4eYSzaVsyeNXPqZgEeV+KW8FGWO6TfQccckDiislDOdM/j7jEl2lSWqq5H4ix6/3eZZO2stbwqYZU0KdK/OSnYP/FqoyHHHXktu0a4gglvzC7vcOP1I+C+V8K5CVcNWVS5Ael2BwUolVssi1ah1T+Zy8XrxIfDJO9yMmjetf0hwVrFDwbZZ1TWKYG3NLEu1346w2QIePlOWOarRqTQ3mT0WGZ5RZRKVmnDCjba45BV3pnVFPHQBoK/ef604m4GTy/yZM3houUU/3O0ojR68oSY/s1XxpjIJpGdOV5fkoob1yBFhdpUGAkfodlQCs286BHCMFfNZbw78TlrMRD3p27Rw70V7Ghtl349GoKt4khIKuhOK6qzWNlnTZlUWJnK1fJmBh8Dm69NANXQm5Laaj7d3A7owsOCX8AZf0nleHw+k5+l6Nf5Z9fik2lxyk5gxmzOELApTU/fOS2MkdurqiOi8T9fWzDUupqkIj9rAeAQKvSkhaHKDdf9YEYrkKsbPWVgPa/7J0EpiIviSlOLEWxU5OqtOSiFbj5W2iDIwS12lB6tdb/bz9ENl97QZ5VrifeuLiBisApML9aJM3B3aBjrhprVLtlvycz7dn+NqnMJpt/Erv/31o1+fRyONYLILmDGi02F0mda+sr4pcWCQNpyYxyzAFUVLxJqIlN3Z88dqKt9wj7sHquKR1/MYK+2zkxMGeFayA2b/VrvifGQ+n9kIGYJ8uvi4C3we93T1brvxB02Zc/j+2a8+P34fnzzNu0ISVPnYDeDQQNkfz3RVfzz43CrVXiNX5EnpTXNlL5iLUsxEZJlTbsfajgxvXNRWyd/L3P01gwSadPQ7vW4AIByKjKxlXhlaTKx54k/g4r2CN7wMdLNGiWAiCwk0gtAN7xY+XB/sdkQrxUlKHbYXphykvrcYp/lMa79e4iImJoehHzCjd7R1i3NHJ9u2i12JgO+61seIM9j0hCgD2LmRt/u53dGOOuRqDXkJsouZg1tqsHF6XdvjeZv8oF1VnNAuUKkOI+OvvF7hllNbo/WMFIKzgjxXU8IgxcOms71Nl+gD6EVJl+wvy4dBrNLH1fajtccVt2/cTSSAqzkpOwzaTFMv16mV/yZc4hCNRs0jypAK5rvqlCmhUV0oCH6B/vwmFfn44/mo/+Bvf/7l+9+/f//317/8+2/fvn98/PrUR6P+YdQ//jH4cfwe/X7en/3z9/P6fuimzw2OAIwT7yz9mMK4OT7I50vQUeV1kCp20zCEBp6OIZtn+vVcILCm5FNFYR5hDIkgjcerO/Ryods7E7YKUa+NSzxc9BzERQzA8ji7mrlyhvzlfFxpCNcIsFxPARonzBNrxAWYCWP1C31VmeCMngrVgCHSyQWEhqIb33Eg2FnZF2ZVMTKwRlKemI0ul+Zm5J0Ld1U9kvAYxm73CDu4K7hBcSrAVfLkZiVW2z3jzFSEqcEVUfYIxrAWkA3CY+ccp9kSdquyo+A07hjNaDAyo6fnyAlZhaCv8KfH5hZNNHEmhsDMw+Gc3abYmJPqlCox5O4gqAogdqm38O35es2baqIaogaoYdijoL9oZQXaxojFM0U+gS1SkYocq2KWYT4caycwLoAKdQfsF+Wo6KMGjrWyrgzSUzmFvbYvAr4Yu8enY/t+60QaPE86xJseUGXYD+EsHNVhPQ73v/vqcqYQYZrAie7VsY9mO9mIbD4JMeziBKWolOmweAtLezPtvpjMvv1NT64F8lzPpgyMfZPRd7dMo2PzipXSLR668airAmPvI6/CMWDUyHi4CvJxPZ2ShgmcBODtKUBMut/yQoU4myPSngIGjzEVQGh6Gldxk5hazXaElwgs2F3B0ioBBCVYxpPbL546WqHAAwwZmghwvBCgcjy3CZImEJj16RxvVKMx7KcOC3bjmI/w1oHZT23UdjBilDs+hwRWu9yJJb+3LAxKHkLwjHXCmt9X0HYWf21sAPDl9oz1i5sTqHxYEwykBqrs5CyLEwUVq2g1KTHvZ0xZJMudpe/YWpYWV0E0wSfejw+/4FPoT8viyyb1sAScil1k3+hNrZvWOiA7dvOVA+DS+ZtpzGwNQOBTjVEPOSiSEnZDiEG4RFRrYxx0NZ/eCXGJnu0daDJLX2TzynL3SlU7UC/RYIJJ0WZIOHg61pr1B3lZzDmoxggVyq38vPizp5qMe7413oBJR0wyWnVeEFTsW5ueO7s6vH/EOTR4t+gZ2DieDw+H9fBp/PKXp76Pf/ip72Opc6KHJ5lpJjeTYN8XIiH6MV9mRUl01cMJ3gvN7uItTHxUvRR7VNYihaTWmB3TQqNpTDtLW9gEH6jYlWRpE8lMN1wDAtJTj80HfPF5WB9l+/kQgaq6Dj1jNOLHt/oflt95PS1WjSCet5HcPZWeahjwz+N+7Layb9cAPWGpPWavh2l76eDK3HVcuVX+4BQTUqikmjq0e3DGwg0Zjsiq8pQop+owqduGPSF0IphG4vxAgk81KkmygSUidynfZKb1ycbBXF+ew3RNEaFXNJFFBqpjdrcRjt+Q60MAiAD/XKkuoI2aDm+RtZ7KcCFj8xeHlTAHk6An7e8qs8s1KaVXTQBHGpsItCUSojwNPK8kBl33IFHi5ALTFf/USgB1pyZuBH0kpja4rIhRfhbtuWTNhrQmQAbRVgWpQeRTa8b3uDaDbTMGcaFp4OpNcvQNRPAZRBHlJEGGcFP00Cs2MIwS/MBVT3jViRLZrDogPlmF7EFlsyJihAWqqzkiv3+16OyWD150T/2Kv/7Lt1/+/u3Xv//657/96fv/yu+/PfoOPQMe+/PH/HPeP+eN+VHv3/nP//z95z/eovHG42/v46RmbZfkxgBGFjNpvOl5WaByWXHEBpdFKgIf1kpiVEXWqmGexagAhZKLdmEUabui7iE8XEUEPVI3V3ScuzlcSuo3fflK5khnHfhEzuHj7XYW9k/upME0ltymH0tqF75umcROJvhhTKYMqqojvqm81Ln2E6C5/1aQG3VMLECxbvgaRfSgKvCVu6BIc+xdqX6P7HIUWYjB2TnL7MjYugJ6iU6MoDfhQ95uZzKVo/YdSd/ol/54QUI0WJuChdqbIMnLPVBSunPWfZnpRM/HZDpro8l7wH3xex+0anf4GLGE35jxjcGT1o2IfDssZ8mRGdy/lupP3+osivPBtUmned2he+tF0yPS5Q3ii3I9AJvhKFLKtrINzQuPBFAMTxvNXuQUYFKAV8aIzUFNuYHggoud0Dh5AMYkxVwiqsqokhlVMPwWO013+tDqFbYaUXzGY2hciWifwN7+KT94FAbB8PFSMfEG51xkymoA1caK9pPNTqUa5to4Vld5dz/mZ8u3jMQx7CcjkKWIUHPH/iEVIO5xqoWPjIkuuxPuvz6MQASsvUSDPBvvsEOLRqJZ79KrAPRYYH3cpWHO3+DSYgQOUYF5qoQVNe9WIawqadX56AdWiVmdbQWiiqIj2xRDRTu9eZ4+554NEVmQE6nUpg9wrRwbgqEnI6F0qHbN0hJhLA9Esonx2grLNXm+hcKI0GGj3jYhj+M1kCxRwpt2doNvhV5T96BgjH3NLeL1S+cmMzpvC4XxH7KCdvQvG98QObegBg5Qj/qdyJJadm4lKAHd28SKgYOUPZ0NRygQL8nlInjSFFXJpZ9zCwqMKMoYofyeedsPcVRuYwhbJ9MOYbsSdBjr/kUycwEQe79wdZs+62te9FTh2rE5JduiZIRlls8xxm4wGqxYFZls48IeslIiigAFi2c1eQLRl23L/eRlpEaA0PSr69X8pDYWMFvdentQ5KK5VCxCDBpwdkItebewTVJx0OmHLH2+/fH6mMEctKq+uf729J/a/xCOG/RK1xbBZXhqcQ3PC7mughmAl9eI+I4A+EWfMVt6AEJJbaEJvoknTG4sHiQTyhSPbZlmv9BViZ47/x9Tf9Zj25okiWFm7mvHuXlzriGrssiqHojuVgsNNtUUBQgSRFEQBPH/Pwp84wPZQ+VwhxMR+3MzPZivfQtZQ2becyL2Xusb3G1y8louGA1CGQxZ6DLMB9/e+u3BulSNqvabHtVV4PVWFHudYG/X4/GlzvPHD9ljbjBs7EIgyvaV2d1Cl0B2s5uY8sgMh3pfI6trJv7J6qqk5ZnhtENYD6acQUy3AC1pbxnh5MqMjcg3VsNPSOpeiQrAzCcod8Uyfu11a+raFtmIEimNBA0bVZ3ZeNCdr5MwDL7uQ6TErozCdaJ5/boNqwoYk4UO3Q++IoS02mGsbiytAtbRV9yaHBsaiLmjB1NwBXJKrsS9pHbKHQhCJxI+ej0uq8rjJHWMfv0uONmDWN9FvKNrdoSAiwWlt9nXt3qklb+2pVUJ1p2UE8tL2RbRP7kXVyRH48bxwghV9C35OCQguV/5K+HGeqNh9lPehVasBTk4idVG6aokxQOAW5WBandt9iWQHoF6ZG4Si+xo7mw8CDYewtGD/Ib8bX37my/f/vbx69/94tu/+PLz3365vm1ceO/vn8/ix3z8CM18jj/fP/X0x7vevz/PH8/n++y6Rn95fPZVX8zpJjKw/tjgLMYdp+NedwSYPiyZ9+UMvKxIZokKnAPDleVTc4HaHHMmWhDpyZZawQZkeDUksWxVeyaPUUz8SMAQbsP7kpURPHG9B5lCdvJ2hl5i28BsBH1zNxc2jBOBt6Mfhb3rWnHAMRBisuZv0VBW69YBt/1M+9YsqQlVyDCkmueWUgmLSb7PPhIu5UXVMIKc9KyGtq7O0RQ4S1TnwIoMIXA8qhb/FrRpqij+07EdQJfHHQS+abEy/7XuAyBSPO9zJsCkb2sTgF5nzV0IRR+i+yksiMBq1xS546deeH7CCgjcs4JhSkrKiouR7oZ8ed1LoVCw9XmaGCIeZXDTaAahONLe3edaALAUaFgOUAopmmpdWK7CdvUmm4gd4+/VXPKDINDkwY3IGboHf/te1ME0xmogK3IDo4Eq6eC4HsG/Ck/rlcBTa2jydlcGyoUiT9HTObqq0myhLDRn1DbDzO/dgpUqacODDXPF/kC5CnUmxDw4fU8Rw1PJaa243paEWWLjdcjfV2EEp3FJs0x33WgZQKm4879isidWByqh88+WYzKkZ+abfxo9j7KMk6D5W84bwU2quoZ8//CBgYHL1z3BJzVmOteX6DtcFXe4YhyhnfvASZbBwgZp9FbN5swoXGgQe8OsE8CchBfR8Kiq7HmyLhf1YCsHAMrmCVkEwNej7Bq4LXM5HDiog6lMXfwcVaoaA9RTFn1S4CYTdN8IkdbZuUvkuFT2tdc+kbpIA8p3M80Npt9MhNzcvP9QVJBp0BRzE7Xa+QI+xr2YV4HznH479JuqSLEkyuhuGlQPzpGLPIdVQ5C+pGG1FdEZi1UnE/l8O3aTtOnQMdzww/twy75VzLtpyPNqEjpKmF3UDIsB6IL/h95XbAOpuGCDE/DFXhcScIwOyjIJFk4wpaK2alOY21IqA9F3esiHO6NPsoRV11ufDxUTyZxxkPdYkmrNiZSSI3VmLlVB3QnkaULReqvyyMcqj+eJx7Nlf85cU/OceQO/7W9+982P/zj4IGy8kU/HnRHOxasNyRG5HNtiIfcq2pI4OD3T6keGfqOdfYFCCyAvpYzOVMadecmNrjAyHzdWRZaDy65uakUTQlrjIrp5Fbp5PXh1geU3tlHVVezrYvkiTHxz9Ze/ePv63Xl+PuGaeZpgF3B4GnCVTDVqF5CBq6qN3MFwvEpgJNsi6QxwmgUKvUNcYxqyEefHliBb9vNGQuSoekOuDUQx48rguoM+tGxhZQQFuKNBg5MXiasCXsI3g0DDC4hF8WrHVFG4Rey5tMUd+Ry+dq0MuGW4L+EtEwiyuQNgJnZl3ENK87tNeV33aQKZD7L/wVsaBnlPKBRWFqs7b2rhgrJOAh14f4x0Euagb9VPSs5K/3UXcblue+tFbxqJ9zwS7ispH8lFSLwX4KW1O0ioO747WzFVfFqI7Z3uiRgL6u7lF/QLoc+xz+On50pkNpcTFeUN/A0ArRulyM8TEIlVdmFvY0WVKVa/Xij8haQbfDPe3YVLfni+nLdvf/aLv3r72V+//eofvvzyr37x9utiu9989PE5nk/M5/M8+3zn5/vHDx/z+THPDz2fnqc/38+cqcqwh3rQ6iphtvoteddlCWutqbIyia+kWG+ddTb3/F8jEGiCTniRFvHAlosGPKqEeYjptUgMVrETgJZbZaW2nAxT2uZoCxuDF+42IJdzIOOsCyw0j43FmlsjAZHNWoUKXomGlSgNe1C3QkZrAbJZDQqnVYMoONG4NRnBlvqG2pdXIjItIYryFqaM246ebiH9BTNVZicRCuBP7vdeWTqUWB2wruIoc0KbpZBNAWIWP+ZeELArpXYmlgS3ifbfLAeMbAaOCPC5s51THqeNZmq3uOUyo1NlmY8kbsTSX0ak5o7mxiWq2MpxlKmjmAnrTPIWMYQfUBKIAhlF0eMN506QfHzs2ONkUjBmaiajpA2okkIRgm+tY9jcmKt4g1zLwAbMS4XuuuPOgkwAJpssPOWreoFu3f0qBp2aXfrp5EbiHAmKqQta2q4uiqoKh748LAT3zodn5UCKhB9lVc7ktBzV9RjjUTMaCLVjuauRtqkSuVywM82UzdKjMlgwrU6F0xhHJJU1EqBoy948NuLeillW3tN3A6Cr4rNI7Fa2scwmeZHSOrtMepgmxJnOq6WlHMd0ivQbW2iAczJw2gdOmXK1hEe6N6DZQ2V2uGU/cAG6rGfCV5eO914Raf3za14kgg94ZSw1RQmmqmtNahu1sq9kEFmptFOitPdV/onBBlUqUSqA8QNi7Lb8WWf5wHZ2ZUZFjWyqDorGuptz7JyzVNgMXy1YaUZ++f3hE/CholQPwRWwCqBX62hwFSMCS65LStQtbRZLqgBnaAm9ppw0wJla7gTOA9xRLAUW03mwF7narrcbpjkQrUrwLQs22+D4k6SPCA6c+RgTIjJlVkHxswfHiJwgWUQ5MtNhcm2dq7DLtvPadNI15O/UghgkqoH4uRocZOgyhRd7ljVwNUWtJER2cYQcoJuQnH6RqC0WEXzCd4VVHqClgeu4yjhbTFfxeqt+1Hmm4ufeTpLjoWZCiCSCdXlcmSczTnYI9+2n2JSSP1uqqiHOpx8XBehzdDV+7m//sr/7An0XOJKVNuQgER1WlMPEbdCvPc2Wgd7mETez/RM05FzOTrZp20UkRO1aomLZikZu43TORMNjtC0zkW2ZPw+Wxug7LVVExNIBDNy4ek65o5LLic4qdjhV99jnqtIFqKakY5UrkjMsLWawCZXrolNHDPqKhyHd5mQqPTDRCJpNpCusuwuP3auEE7KwnEG5W/feJMvm9beIok6SBreOVzPk2iAkb3GNoFq+1rxQKlzpFZT46IVj8MKI+Mq8yZXvCqYv31IsWJryokDETfZsPIKv1avvtXhc5UERk1uZvhPOPWQxOmuEDgSncFUU82J1Wg2uagNyF8Wucuh16M4uCo2WiIvxNDaZDyufv4vxDG3dNnUbmFR7r6cVHYeBQseE7+QlJoY/WGDWOZkl5vuvIGHV6XMWbovigLxVVljtcgg43Z1w7EJB+7A42Ubhs+zdXpJYvNhhu66YQEyy83tqAdqk1Kn8cFf5Io7B6yJdn13W+xuvb3z9lr/4u5/94m9/9vO//ubXf/XzL3/xxkv28+P5+fF8+rv5+PDz4zzf5/zA58f5+DjPd32CGvnpM7YwUTkiWawq9sVCTwhRCBjqyefR4UyiEiP8JLBZgffJG/cdBlW5DKONx86WuHF4UdS52E+4YVu2M4Ix2LWGUWTJXYyAJ9fL3YQGkvJSYrek6NUbKt8o86cy/MvJYCk4SupKwV3FyNKqo4F+tWYkbiaoSN+ZXMnbzG1ZKFnJ/wmDhsRbUaveMQIGbUtwJZjrn7jcDRlGXQmlp3NHImKoiCiWEIpCHF7nL2YEUmVM6AFnNGUQgmQo9XpVBTJ7eJVOMMxGOdE7TmhVNBWFTlUcfqNwC+tqHWhYhHBuORZXELL9VqCvNMWZfY3yJeoeZs4X9pAye1WMMmrfkeOzLtrrGBo6MdZeOnrb9UwazFlAsKPRn2RA8C6qzFd1f2sCI8oMp4Mtw2ko8UOpSzIb55WKevGygcaE20zNqtS33NTZlca0uVNnUbXDcrFiILaJTuKknebAJk+k7VAFnSz3Zlt29mKA3Ivuq8cT415oQlV5NsIDlbU1CJ2OAsgRq5HgR9P0DvM1kRB/oKomCiCp1iZGAJ7bP0DZF/Vcc24QwryQZDXDrht51wZnBThJWM1iZn2TqlokHqa1saXCEB3g5gnCqMsQn6wLx2RFpz3k66BxnzaBdo2hzk8VuUE/g5/cu4TNA1xLHujmauGVq4XXFkiNU6+4MLueopa6kWmiCmuLXmlFDOlEtPQQBXCoNmkO8rMWhWZ/PMMbL9agEtyy0hsXrCOjBvAcyDMQOmN6zSbtEY3RJqQDxIbBpaXilTAnsC/qp5KOsfhFpuxsqAulFZFxzdEoXMbTV2+gUFqJMH4u3Fq43udYQHtiLHGAncvcNJOgxsYFjqiN2aQbmNUXhB9KfOKrldbND5GxOkWJToNXIr70yssJHuEgn2ugfC0HsnZAN6FUmEl0dPIJI4mxBjvM0rnJCXvojFwPT1oKjeDjDP3WakM20CUilAUS4gNN/curHq7HU8dU5UrrqvQBZiew0Y4NKQUPeruLRMPlQ5Jk76ugn/bTekBPSedMt+fxBdevHtcvrucfRoOmkDvmGiukk3hbgHKtJ5GAcNK4XjHcy/wjTrA9yR3JZvIRmsYWNpsVEPqQNyBTq3pEdWV6EwAweXRIKo1LU+AOKRzwdL3BZjXLQbXS02Z2nXnmGO2rnk/oJFw5V1WRccq5x1H3rOwDLX72F+pxA8imfYirkKgEAmsM8y6K3DsiI+i07fRdnvAhK2zwlq3Zz7fKp7qgDH5NvF2eSa745PVkJug2k7fW/cI6TSvxCNkvO+znnyT+3vVpgrGGLykKdWtpinv5IYCzQyRU4h7WgeAd9aINx4rfusoLWo6LrirVskSUnaGFvS1y0NhUv7UCn0C2+ZQhK4LkVjk+n4D/N1xnRNUdEiriRTJiqMVkFmVtYROXgvkBXCAAuZ/ge4GnwF9dADaXML+GnZpzuV68TrWcldkCu4PtGETJ1D3pVl8e5tQj+y3iKB3cAxfgWzGeZqMWNtGKe1ZEXU282YZldBUHKj3f3n/xq2+//Pabv/qH3/7iH779+e/7y69qvvkUPr6fH873Oj+Mnv389Mf7ef84n59+vp+PY319jkDzyQM3Z8yYtQeGB+z2yA3W8CrNIR+0TRwN9FNSSpDwsYKYGEwrFAaM7JziZIGn+CBLrUIVoaluovgwJ/u4L+MZlFdYbaWFAXBhTkbrrKYLRGDwLRsWFsfKqjyt+3Hf9ePueDSKwlQukig9whXfbJE3fZQou1C7KZFV2UH4Y97Pis2aCk7TLrakBdq3nwvhhX3pWqlT+sGkk5DYqfJk5m9snGcVl5wFhple+8L17ib1zjMEee6Ht4lbpAWVhI6+R1PVmnyQSXSAFtG5Tw/d3WBIBttJo4zzNP9tOHHKicZZXX6t2sg58oKNq1YyWK9qQ0C5eMGZKReZ+bVf3UZtLrZ9X89pTCrJFQk/uwpH4QTujh4EB0JEA1tgjkLrwRv+lElOOdIR6GNFFYVQGKvMcpQu0REEy4iOSL4tojCjIVs0rLYzDi70U8We765XFmMu0Z14AIOiZ/zoVvm6uaglbenCZR9XJbG+ReBt+jxOs0ZD9A6XVpzTV0JBdblcA/JVzm4vjGhTF4R4UaZ+7QaFRAhLFCt7NjlC2cmdx0N760YTyeRZjZBvpJRFjCcc2T181SUzMeauNf/eXrvtEqG+ZxEcL8dBGCzscxNyJlReAzksQheup49XZTT66fz3HtnBlcoGp2Ybf9/WhJvnCGxlsjrDDhcuRWgHRMUfFCSyXK/yXUD+iYtkl3ESPjSDrjTrdCJGJ3iaeLLbOCd5+Cemf6COkdM1xMDYYNdo7jp+ZlOQu3rRkrpJqD1wHH8iaAU3GHavJVa8wCkiOb2D6nj4phmyUrEedEV1AhJc/Ytd8NBz8ChOMUnDHvhBPfHklBij5ZbAgxlNZnnIq97jhRO0OewG4gVA9LipmoHtEyOKnM1VWLiDIKTXiBZjGIOMPM1S0lSxrXWCnrF3t6ojuMD2grV+8cy1r8QAQifdAScwcjxBIbcqMMt2sGZnVIpNq2ZpNdq4ioQvd7OurkzFBnpWHRxxIvL2mHTEoDZ0xgY26bSOazRQI7vLFz5Hb6fOJT3JC9LBo775zZef/+btT//xg++DMpo1FqrhZ9ZZtcHMJquM6sSBucEUgalr1U5l4gqI44BHKk1XldQB+hu3xXSfMZPogALiEhRsTQzZz2hQwbMzVESYVdDphl3PTzOdZBP94IyaV0UQMC4eCNBzHt/9+ePr5yB5NoUGZ9AsJh87RqiS6Y4a9iK+4eePp1SYabYyIi2VKpkEqKT2ENiUUN5i1+0uc1Qnni6OuOjHuCYcokQtJ5yWi4bv9lJEAb2SqZ8kVtn0fXFF+MHEg/Zvlxzh7S5rvCQ4rk7KdsYFR/CA1BBEdWmdKlXmrAMvIcoAO9se4SXIAMSrWQyCCnm46ovk8nnH0m/zU0zVDE1w7o2ay7mUYiJPCOD6CAd3o5CSxBdqdlMJaHBu+fcSlHmgFUT11aXG3sSoQTJVeeMhb2NAqv7aDxkVVfRSE2tO1u7NIO+7xHKWBeqO/lw4pOLHxiY4DmMDu98yG4uR5BQwppRmbMvUPbet8gW6VK4BHq5pWfJV/Pn59e++/c3vf/Gzf/vN3/7Nr99+0x/8eD8fz+/O5/N8fPj9h8/P72Y++fHxfI4+P48OfOpccyl558/0hLkrngKSO8JMqdJJvfp08aLoKCgPUuWSSZLAZMUjQvDtYxLNv544gBtp7zuUxio8amAn77XMTCNCEBPBWCtqcdMnTVgJ52zQOZJ5l6mppmJsh5nQlxtW5muI40IXRu/QWMg7XRU0cWdZboOXMFhMRFwkUv13RlexyFlkrBF9ZpZX5fLFamO2uiMWGSOMJQyixXYMLLqXoxrtOpl88QqGSSZaWL39K7gWc+M+Bw+YvMwg18xE2YrqO5VP9DG7YgnDt+tsFYwLIKymjUtLp+25UwS2eq1Ml8rH3/3l2/3OfeHYHj9g2w5oZBAIjvMZxdPscwv2yoxBc89grox0EvmAyJnrXkJYmZIG97MOvcoJHZvyMxsuX1G3g5xro7ipI99qSBsLthXgqsbWCqM0hHmnU9OoVsLO9iC3RF6AjCm3VooFw1dqti3FxdVMeypZ3zd/EqAS10aRNMYT++FEhhJPrlWFAt9s2eIdZNZsV12ID/niJWIHFV73KgSSD+o7x82z8RU5BGL61h3XAOZVVEwdNfcBThhiXdzAfQwygTNyVenlukecQcCdpjxpONzLOYVUEkCOF3MVHfcbyzx0D9E40w9fqFOVL8HRoGqT2G6fnU+0DEUcT28Nl7swCBIKI6x1LZhQ5UbKzRIvg7Kh0oATKjcJpevVZnBX8nSqtHqc/OxOWNv0yqqZvRnbJzIXSK6SWCeJa9UTPUBWXC4NOTkJawC8h1/dK4vLF6FWAId4kaNk3VeAOEhJU5LrWlQ9kZNlxh3INU+HVsql7szbpW1fzU3eLdLjNYSKVTjFGk3zabfHVU/5+iwXfXyeejwolzbf1ppggM6wW6DCagKACCUnHQmeAMAoDB3RKQI9W9SmswJWJY/Ur5goAKxY7hGwuJgUKfiu0mK5SfN53wLYZIPsQkTgcacojdEs1Bq56z7fR6tNqsTJm+yOeflaz2HgZ3Xx8aXOp55lEiVMEzuee1Ea+9ZVRbeyGlveaAoU/3fd2acXYfHYZ+jrU/wi6EgPVfvLr7/48aN/NKdOibgKEoPrTZZZ4FQExHdFaB09DBOyFECNmzIBA5dVdrFKKFRmlLygUdsRfaRxKic8QYwdONCN75ooGzHOatqD1uep64KfGnvO0/NNX+QXzqNtllT98BNkf576+O7jj//44zwjTCaMqOWiw4n4oJ0Og1eLV5XoL0BTG7nFzghDohdpi11zqe+buZfwOgM9g/La4FM5R5fjhexIa+7JUGnjeQ9FJntpRMTVwqiUMygyEUwXuFHISDeOwph9VzpZsYEsFkC/xzn6Fjbg/sAG7jnEKCd4JkoHr64jx0malX4lZaVUclQHTXoaia4IvlK8Qx+WLYlUOcU1V1kfkjSSruw9EAQld4Wcxp7ENnjnk6IiU2qtuakWY1pxI3mnhGkRYCzxF5UI7umAXkihbrILqSp5C1jNrjEuenJLcxVK+cPg5qo6DN+GQEX0oHB7Gcf44kbrDivMWbyND3gZG6IC+NrD140OVepeB2ihT+Fx/fx3v/7Nv/zym3/z7S//7k1/8xX8/P7zx/fvnh9/5g8/+PmD39/98fH+/jHnyPAEIjgrkDk1eLo3OKaNp/U2+gzXeJd5jMxD7AueASydmUzNYsNUZJeMSFwsYGR43Smp+1xsgmZV07CpZm+TnAfdBVRiPTwDJ2sHDOUzlfsyNhJlvjNcxqBcrkmhnvDHzJxwVNnF/bsbOH8falzypZI+k3LmNnEEJWQJ1h3Fyzv8YHu4I1Rgn8oVVa1JM97JZlOKAnPl2mYujiR9QpWdvcJKZ9lt6euEVojr3YwvOYcYQW7eXIGhguBYdk17+YvJedOkhjdmtp0zBF7cQSheSS5r7YHMCKcJk3WreRejSNzlvlyOb54Kq5vNe8hQi72t5mYXo5nKFh+ho9St9eSlQ1BtegGmxKGpJjUJnQEqvO1ZLi9bMf8vB5KWXt5MmTzxsM6RnaxORjkoT4Z6WrARlyJUBCNzUcpEMSTHeKutSs7Ca5Q6dA2GBaqYUjK6Ma6ryc60IKbKmnAqvAlzqNATmBPle+TUw9woUFVEj1xiKmNVshdMXJfN0nF5B0PVyngYFrKuF+Lhcqc8yvGa2io3VNWt0QwNYvZAnMqAaqLlYUAmTsIeJpGPmb6ghKRjcfQDtOVpXvuGbtDSdSv1iFaDOhkjMMiVoICpEULk2gwVDU9xxm/RtH+KnbyfnMZ73hKscUYwoS7qAJ5bx7Tl4G4qLk8R+nKjLpZjzk+9c6iwjNEKQlFynnKGOdpIWx6ulvDu4kdRimBobhSXNo4H7LKifSfPaGkQto+UHCh5XYM0eAUcyfCqHjwv0+Bk66cqcawt1iYgp9xIXcBice2CvjIKPvt7NwsygSsrzct9erVCuuPXPJq03oz3vKLIy5d2T34KND4lj966IMwTh+RHMpnOKVM4B1CatED8gfMy8ywDVCufa2Z41VgdnDNFctgSyxlLa4ZO0C1c5/LqP9Va63RZUfq+jeTnIr0csfrlbXxdhFAZzBA2qQmCiYTY0EjI9CzOPfkN9mEEHxoWQR5M598hCAeqq97wmPr4QLdouVqRegSrwOqdYqKH0pT6FsPWjWc6+e+YpA/redSnavR58BgM9XbV268eX3759v7dsw8OgB4dLibvmsAPQAbhYk1qQbYI1wuszgUPVqSFukFn1wlKYRRrcJlTvkgPrmIOl2Iy69dzYYLRurlqj0LEAYluHCV3XoZvcOvPn7yu+fL88ua+ztXFBwqFwecn378+3787nrICMtg0G5hwadAhF4M96YfxQH1hf9N4ChmzArHpSVmeksZZEdqAwpxh0RHgRRyOl8hEgvcyHYUoaHb785bSLsEcXjqgtJYqvhNyBJJq0L4u4kCNkrSBT03HW4S0aBHapPKF1r60d6iMJO7n10WWfX9WrD3nrsYJ7KDZnIi1JHZtuC7vXVU2VymBG5MPuZnA6gzjDCCT3B8EQ9yaGmCZypjRXk2UVynAQBlx8MWAsFt6f1F4ptXReMXkbNY4AxXyOHsHKNVWbEru+M5uWDzsLma2xymsJCPXR3Awr7DL23Xl4MCNX+WwaQSMnEZKC7MmM0Dvd5FLJ2K4sPFmFz811UyS8kUcypw3mfri+bv3X/w3/P2/P3/59z//5ts+OvN5/fEff/zuz/rz9z4/fj6fc57S0efTkiw38ciU44wReOab8n3lDB+c+pwPoo5TC7ELclmYJx5fPG5YNjW3CLkiHQNgHAm3knsxqptMNYRqAcRIVzz3ETW0x3VKb0pCuOWpCcEfUH2ryUBqVTNmu1RoKMiKk4cVPCfMfjUFtehAPjBW1B6AZFs9VfqJnGkH2HsRpRAeIukbMC/P+ktS2273Tq/wJj2kt7PIs8oM6a6dAraD4AoeQtWApx3KPUxfysZemnuYs9H0njCpxtEXN0OuDRVeJzNl7bqChMoR4XqNnY7NJp/y7JOt15sLThNuhgNSd/GzIcb5s0R6cKQ4XclUrgxukt7GHK4yy36RfL3DIuGqkXwRQAmnJmKO9PPiWcuf8x26uiXlpGKXJdWS5MsLpBTL7kub6xJ1uY5DwZQN6TiCjf3w41WjO+77Vc4kDg2FyjSFzlWng742s7tyzjmiGqHa8RqEsV90IWKuvccCmJnYnA+95LSZFRU317gvkDrn80JrRwxDZn6MT18cA1G2XKz2GWDQtTfjVZ7IsOAcTeiMp9SeXt65RCRHiyZylSKV3HNNOjKidDkORhe7FjoviE8hRTuHCfFYrWkNrpJ0BWyizwk8hKSUiMstWTgFzEZRY525oYDJjT2Ml4IE2ilLa8YGHs2nfU0P1KxETQj2+nuGqhqPriiYdqDF8s8scdJwRCOYGzkD71iUiwfJfkBU5elTDVA4OfxDyQWsbNZz1JlPRkqcmXJ7qAx/LJTGVUCfM7ysc5cW2CKyV5ZOHj/BrQ2A2VHjohqQ7U91H6nqmBrXMk11BtvgVUcQwoUlyTGv7QZq7rCudctvcNuS9zlK56e4qKzgE10Gb/p0ybLwJzSedK+dxhZ9yDdcM2TxWK1u9xjnXHY9hTVTB2cIfJ95pgm6MzFQZjm4MAb7OJqkV69pxioUkhcsXie9w+0RIyBQi0ik6VtN8UoTY8zve4s4LUylUjsqWpU+L+kGvM5MG0b7SicR9XTBWF/AOgEVk3jwTbNqB/9EAV6jQ1Y99EWYz4s6mYlrmlGUa111+5Bz6zUf6cw8O6HpJp9P+6GHjvQFY/hJX8UPonx+9vH4y7r+rvDnOd+RhE+zMk676o5CXitUSrStdABjY2Jh9+4gNNAGXFe5gBYbqPE95w8zi5wTd0XITWqxb3iLmarOnkRBMzzviD0DNVuuUkmieMzD4RM6mK9iXbxcXbQ9moE+rPNwQErGg55rO0aNKkINjJvlw+vxcLmuub71vM+YFPBp2yq3E+E9JDsYh1cKmRlcm2wacwjSTfI+V1PIIJd5JxSR+0CjEQ672UbmAdTasJn/GPFRkYW6DF6hudjwqe0hqI4sFQUoEEcuJkRUkeZ17WovkhysjKkJ4lrCBgIH6mRammRrB7BdKWHuiyjrtgUQF1O+mQZi/JqGeguU7pWUboebvZhDaLan2LkTIbKxwBrz6XbXktzIqWAAC0xge5sKiNclid2cUhvbwhA13rFtPxFUu9bvVyMnocGT6MQ0Y7wvqPTuC2ttM7IBMn4JSKIomZxThUyPUbuKns6tAmaGhVDlgt1vxNOkWuTBZ7Me08/+Ur/6++vv/8M//M2/+8tvft3v88Of/vj1h/evP3711z9/vL/r+YHn51OfBekJ4NwhPNm84kiyNQLAyfBJAWAp+Vul7d/u3g4x1KcFpIAIdavZEy1E0RkZIvTmZCZXUzUg7O6dLJIkhDrPeqTBv2C0A8y/Cv2h2h6ZmYKW+5ztiTrVSc7HPuC7212xSzFuzlomB76XWTToywEsnBOViO+TGAAHh5XRF5nKCCjTR3/qMzyqqyYt7zI58txkXvZjKZKGXKtA9uSAwO0fJn01DjcPx0c2Slxfat0PePEpVGoNm4Sqrc2bWBhFp1DPVVA3ae2bCe6w+r+tcyqFfp8zVWBljjnS8WYS0MCdED0VLt28CFY2EbwzgoaMRIKCyCWzTpZZlzCZZ867WyYdfUneh+hG/4Sh8GBKhX3Pi24JK9QZilJ1/Ls5NLcfD7tE9k4VloLCbW4fBmaxAyaDg6pXqwJwKh+5V/jjAsZaUVjO4CrYGly23OwtWTnMTC5D7C6th4xVA9Ty/UG8Ql0kOaHg7SR4RXvS8RxlpDaxyY8DsmHSjVXJ+R7zLKNm/VVjF/ypYq+nlyCqdBTyhlG66LajFBDTpG+MO+h21hR2yTNF846Xk9YnGCLXC3OjZ+QiSplv5uN4T0ynBYq2xBfhHRF5QwiFTL9AhmAmv41BDZCRwIoPLuGflokGXM8zjROVmegVHCEFZSDFp3ERmHiRiThMguhF8HrjWy82aZEwdnZV8jrUQ5TPUVc1VyXhiJsa451r2YuX0tA9UoBMCMFmcVVuwOpOYRKOrFJRF+VRKE7fJHkEbpMBJ8hYQoVrDKEmNKmNjQ9/iQRiZX9s4sV92uY7F24F3HJ8GK6fgUXKjVzxgBNkurjMKpsXftknmPiQWFH50i7ncB5fr5A/w+c5jwbhAz+FrqI1G0sgoHyAa1EbB7oI4L3+25DK8Pjw7vy9ij4ngddlSlzTIwDEE90B/gHd5t8gns5yVgTqw8QmCK5GYeeI2zmxZOxXlUUk8TUitAISKwPHOLLzU4fAoQqZiTIL/kXOyqpLrR4eFD0rtGYRt+ORiSeNU8pALN42sVPoqq2YCHJ1aVDw8BzNY54HX3TpKT1Ub/z211/ev/k63yOzvtcWIp2uMkFxsoi0BECXZ1swwnQn0V5vq9tweRn1VEtVW69dlK7NlGWcsCARkrhqceCxZfdjV6fCpHNwBY1sUGV6MkMKN7oB6PmEfBHv6eSBnGNKClN6uYC8lTGPTGYFTI0jVbdJNeo060s/34CnjIMLaPRExQairFHfKGZQvwrgScU5Flv2a0ycQCvZVxnEfYsbtjIOhsYdNraFOZqVOROeG2YjzAEuMIkEjGw17DQydAQF1Hg4S3uRycpLO9Ks4CO1OpiUzrVvMOV5EI1o40y8Jq6UIXTF2nhz2VqYctVFMd2E3LDGldhsahOrbr7DWBNVkNLVMW4yaVD92xi7vMH2VfkCO1/AISTbcKEZiqBZnQsrQ6iqLhgsdQFI2lMcVerKUsSENMi1t5aKuMmIzbva1iLvh5FTCUkeKfQwSchLnRQrja6dcUwoY3IQbO+TAipFNgRe4T34/CS/sE9BoyEf88Xwl9+9/fJfX//y//K7v/gXP5fPn378/rs//vj+vb77/uP91Pn6eQ5nNuRJSBidMD2bXiGZsqAazApPRzTceI2BsdnZVyjzKT2O+Bh1UcKs6h240M1zOiyst6OT6q5NSFkXK76kdeqlkSqAxE74A5z5Nxlv2wSHo4iEnHRAiNtcx4XnXMaJoMI6+0xu7oKLWy+GkUCipJfF4jKXgbAEQrf2BiZBP6qSnh9noDNij2k0tM3pRA9wFxQph6iFidMIohKPFVS4Ns9BE7HNTVTdN/W4qoZet7yLNzGVXpcFHPkeUluQKsVh5SGAFHyhD46jYA16MFBNuctRCYxIuMoYnx1LN72llxGdJBFl8jB4d06GK8RPDmAvLTYtVlSu2O9PphWQBg2MiSTDBqLCuCtdmhcW3pYLVMZGJ+vDmkKbmSkIuWrNH0kTGldxeMq9DgAVE6BRtKHRRZzjBBfmyhafXRduyRBsbSkazi9JKnnyuZ7Gm9pO3GV7o6Zio6iFxwpLe0VwVqukbaZMJ6Ou9x2ZtO7sKGGhg/wVkhiyQ1orqi0an9bjui7b9gCd0zu3W8dYN7kAH+0TVkokdaEz6UQkUY+WD0wJsN2AcVYGsxMYAMaE45hB04RXOWYmpyyiyqRiUKV5YB5WecirDhw6oI3wQjf3XUkMEELSGEWNW1SeSGlvAzk5Wj7mI+IoEL6bEypnimQ/3YXwSe2o2ANWAC9mo4J5JGouzAfSq2JZvtegAFaUFIM1LunEJ0oIySrOXq9EatXOrwOL0Axqgx7jrPGdg22AHTFAUo8iRlOeT4KLq/E03vInpIxKXFp1kszL0kh2u0WnQKy1la81YNsHwUsUjuTqItOK4L7O4kICN4FeMHAOu5H+UGUfoMhSCGNq9JIJeGeOR+yHiukxLYi95skEWC76Kp+ZfrSN5/vgZLj4TOSVJygjwHYUJC4zUZ3JhKEzbGyljIFdOgh7mhErWU708IqDAFjKyTdjgFPozYC0lggAUEm3vjbgvTJjFfHAaHkPSkaBGABiwby2HlxEEDMGCYacnGq6EVoZY2gpz1sz0LejKxksKIb3y7gFr8gsq+lpFr1D3CI7ggxu75x01bWNHUrgAIaIcw6v62Ho8vXLun5e+kfXZ6CfGIG4Yndzr0UdyW1OLtccOsPE9rKB3q5MMCohRUJvEZJ506wiisYhLkiFAllpSlcJ1Yn5o/wGwO2qFpCJqVeVBfvIXRa0yRIEk7JXbY5pOkMwuei1c0WR4FzjRNr6FHjGVVzeSJJPkm1d1b5+Rn2WaMYtTNd1A6lFiR3Zx/JN9g1E07fwuwjgQifoueHhNJbru/dopmWFsQo3v3r32pLbRtquCNu7oet2FDqtVhRZqjQ3CVnp7ZYTIVDrfbzxyUt1WDsbJCzsqnuKvvcEavUp3ItwKcHb0LpCzUKc6bd+jF7ys8pSHCoVkcytkQKcPiLa6FhKkwFzi0KBIJVCL2LhlYfaIB8E2Lcv7QYaNmytlJSJLI+7sHNAWkc+TaNqP9Asfu3ts2PDjGE0UtT2AkYwVejEWftVt5QD9taqJBTFQeLWZZcTiVE/0cweBtQiWAJiY4wDWD666M/roaub+PbjN//w7e/+21//9f/xl3/xt1++O1//9Kf39z+8f/cVP37nedeHD0+NSfuMOIqiFPFhG0roqQ7ZkjxWKsacyBEilCpTLRJ8OOx+cMP6W4EeRBpoXuCHVe2JEtjah2EvUQ7DdOnRV1pNlLsAnEZHFeRz+RHl8H38+syG/UbRcbtWct1sL2hnaKLtnYqQ+0YTlfJGU6RVQ24eIsaMtM7buEcMnG4uRY9gl0zfUt/984mDfBUn2LwYDsBSBCgVcJ2rGcpnWnTTwwIq03Ijqgdsq4bhP9fCXAarJLGyaAO+rBMicVk3dMtwEbjXWAA/r9CpQ2dv5FrmIoUiTKYotK14jDTIQaAxOycyaEwVubMol2XzRf/EtFnh58Lz1qr+ipPzmVgKEcFrQMDtWHfgjBl8WQ7vCQA6ccdH3WiAI11dSlhmM+lwpHARVuMO9lv6Hrp/LfOx6gDVBFzTuFCGjUxQZq2JdSMnTdW0O8sj0HBt0g9TIWdGwsYlurVLYNd/wBnH3FJdM+papGWfCOpWDjui3rkxziNfjEUaaO6UZglgPQjoqLpT3N+1zsKebZDLdp5OL9KHvgTVxVRJ0XJFGhl/btQwqNgsq6rgmUwpT0gTbn7eEwgM+sns4HI8tdDlEj1kWwdV7K2xV9hlAyr33Mm2KSHrQg2OGxUHWtDBwj1OdrjzhnjMKx19GHM0qEikxqg6wkPrmqNZVRJTb6TWAumM4Ft4OlqE8Q087cPwIVvcwOiN5KttPVfCoDQIQQgiWJVZA+aygzc6I9rSdHwimagh0YjI5GYrZ8Fq4/IYgXONjzshLpKi3B5gN9bZjvSEgfDogY22D0MQxr5p4l6EWWvZ4RmawAViikzNcVnABaJRM2Cbs9HdUfzDM8U2YG0Cfhbepj0BhjyuCyl+Q01cBaAuw5LOWGfOCrbowMrCpMk0kj+55n5Xmm3lBDEyFSOaxOMttcfxIzgEYvl4mYoANEF9fLO/iBudFV0QL9w92AiNyO5+ujQAZvZKKn0ArVFdg3MpM7PbqacyEHA1wXAu/OCfFXg+N1iwUWBYXaOu6sFQ6JmDu7vLXbb3lpfJSflJ27fi2/VTOURKfuhCnDDnWf2mGT5EHaj09sv62S9/Pl++12eHji5vlRVeyMyEyASkJ5LFq4C4VurusnnjGLQqTFX277gqc5uTZFRrvOxcaTRwLa8NwI/rcbEfF67n1Q+vmXsVcwAxiwrN3mxCgZtlpqNQJTmwqXHbWDFu0XbSNJ6uzcRNjEFUAW3LY1/o9unCw3NtaHzqv3GsMXc+98qZEr6ZASgBT7jCtdQYQWN3UPWd76MdFO0VkK53tPY4KkMS2cMuqh28MQ6VjFV2hee6mUYDxoXEWeGelYOb0rpdUSHvrGJjZmuLwIHrflxfs19ItjfhQ/svrOnmBqvIeJXTCoWSKRprPqIdCZbXCZkLsohOpC08P324nPPB/l8fKIxOtxNeFJiWSfQKOE8YTKiLV76XJYaFsm65UKOBONWY33dTMJvbw/Q1+cV5hr2yz4lIekdz4WWSXfSPgaf6ZmuYUG+jcQcmbgOffi+hCRDvbMRl9WQ8ugyWj9CPX+JX//bbv/0f/vp3/+ZnXx7+w9c//fkP8+OfzvuP+P778/k+fsIdktXzhM8cAqfSVXMkMzHoREtP4IJv31JwTRVZlrzigEQrCkanIjLqqgRxenSJz0ZlLjyRniFnvu21JhWYXgnusEW1bWisq1iKjk4qQ1sYW+TYKFRuWxEXNiTkXmWFQJcbRQOm3ru5lIhKwnzZBvt22hZvpcZ6auJKTYOxMrp6een3ePbdS5iW0kxQ8HUnAy/gc7NpwL0BGCqGpWZpwkoouZyuHZ61f4cB9mdNL0Vw++oQvFtMY+8yA8Lrekodmp2ghe0892zCciCugtLyZ/WBm46a51bSkJlF7dfcPTAxFfutu4IOye4XtEph2sx5mk+nhbKXcElPgADBca/dwGs2kStJHLU/PT5Ei/SwGroWG+x1XCPXfb3kGmE/KmoRRL1HAOxA4JUNMKMmkm1kbVrQ3jEL6aLcbmBPH1W1NR1lY5Y6jAF2poXhGipge/CPOy8iNNhqc7eCWLIsuyoQh6M0h3dk1yRJpfgaTOQ8xgwFTsKBpFXzxMUG+6wAVbIvOtjpZaxOMuwsGzPo6hiFc/zfcXIb3HWIpPKyuI5sIdxuuoVsdZy4t30HkXhhjMivIA6rSuVEIHJ7oBNeQQC7fAw4B1RS1PcChcW1UyCsGMuZUod0gO0ZllhJCkosOlhTsvvCnKxRscr7duQVohoFRU7eiyWqcGP2xoZcCQt1RrGklDui1snL0aLKd5Q3qVWQrkTaJqe48jLoTEzqNRWScU0Ud6VbkCSyZkCogLPrXBGEEcnJ2ZivV66el8SDQScagJS7ol0IzoJmMIItufsVMLZsphPXgYLHU25HZSIQEy4T4c2v7V5WAjSal8aad2EKDYs80MM4QInVM11FnMHngc4J1JbY4Jr7p7FrgJ0BuhqpKPsqTrxQnnH5g9ItoYZmkTkDeXnRmGjQURPmneZLLR8QQYbqZUSvdHre1WK4vJN993AUXJO0y649gmjiDEENNpI6WZMIBpLU11rLdxI80wIkYKBcVWizh5M6T5t1hpeO6dUNFJBggIVcY11OXDa0XQ3kOZA8R377IteHzpdHXW9vX371+f03qO9u6UmoXZZ0MgghB5zv03yngmdAF4C2GyTRDqi1TXIsgl2dEw21OhlS5euGr8AGF5BFVVdfb74a/HL1dQUY6y6gzgxGzw9KPk+iHb1dCHFOa93Jz1TilAe31TDVYpRRZiH/kDSb9tRUAqZqDpbeNtT0Q2PCU9V1wYovAnRik4ew48zfMy+C3JBp8ZFyB5AERkzBCb8UDdgU8ZXGpy5ioVzqLN6EW222YorMC8HUoeFdWd4ZaLGeEYYykugW3t5Wn8TieOuDUCRhtDKPuZhJQnlQyg0Z3Upm+a7oIcgYy5ipqldi7tZ223VjpcuRA+631C4rpHjBghNBMuBbqwgQpQy3mZ9w/DgxI0mve0MwZFrk0LtRyCBjeVZRSdvIbMe9U0PEsLlw3nYu8T6mv6plSGplxstpZktrU58jxEV6kjyDV51vxABUaRtUsVkDdYgGAMXss/IhAM+CgKvfftv/1X//F//s//pX3/5tf62v//lP3//4B//wR339/vPzqz/m4DM6DggzH208b0BIOkgecP51s+p9Up6JqCVetOGWGLjcGaYFEQ/hqu66Ls4UidFps27xTYEtTO1EvMzVWE3kifLZYKGNYhGnMpgGMIzqnAS5BQGLHitjNJZjBDYCLw/ZikwusqWEa6VcN+ALmRK2Ky0NepD9TI2cXWtkVHs5PfKqInazNMiclVW/oTaqD0yZYHAjM+mU1DnR78+YxRZfQPwzcSXUqhEJqFx5AeVX0iVi6clE0XwzOqhWRCThqdIPB5d3kViyY9nP/FnfCmrdjyD7Z3L+brsZjj7yep87HJcEB0O3EYS3YKG6Vonf8cbk3rzLoCbXB74ZAgSTftDc3B6C5VKCfAOrJUsyf3otNsuzzQgdNirOfd7hdqapdt+pi0Yy31XLJsDJ0hS4BSrAYmfMwpLC3A9RkB37xhaGNtUooBYmMJBcWJG9/GyYCuxBbK5/uCQUZ4e3Zf/nsoAjXooQzQFgI3gJC5HR5FA4L2ZaPAS1W4tKmNZTfdFuE1SASmdOaJZgcqMM1AyiXIvUUzQLY/eDTIAWuRNXScRbBTWNC7v8N4ElDWNk/LALPuIe+pv31jv7zWG1UzTlbVoNnkJhlSS3anNvgb04yMopm6Ajr8E5yQ47XxwdMVYCjIQ8cHjxxJLNI14XeeY+ULXbULHxjeu2VIqOKn2jAeFNiWDEiqszWtKjwYTt70DuFXyFGvKNOE1oSUg79goV2oE3o927CMTjndTGfE8ik7oTsa6FVGqzNXOJeamPTTVQPkO9iACaub28YGDAZghuFYW5jl1X7h1TBTTHUy9B2WY6hmQZI6YY4v6KjL+XaNfkSq3a7IIMP8xSzuFeODMPdI6bV6kzMSnKx4uRcpP3EEt5jIZlGw1O3Sj8Ps1OvsZWTR7A7hh5wyu6nLN8pUIJTIkI4OZ6WFgAVQbamx6o7S2cAy86+Ai3CksAePmAFjPDOpn8smOEiwAipdkAkT6i3VlToVAXE9yPyKVCXuB+V8bO4b7GcTOPbDuHwwa4KbXTglO35Qg0rGNwNCPbz6evN13gaL75gm9++c1884fm2wnC0IEy7qiMs0Vs2ceFuOoZOBhsKpnIG6JIpHe+gr2J7rjIiFleLY3UAnQvGTcjx62Sq9CoB1m+2tXkVTTe+IbxJ58/Pp8lQzVLIaiGsylVYNxWpdFSIqRUF9LpZjkXE0Nww8bq255MGU8AD2aQ2ZdCxKcbVgc8lEnbJmoCzd/bH0RhyDZqk6rTUu9OWkF/gdqonHBJWygjRjJvARtuDt7SOMvt/qPriLvNprq5MmdYJ7C6Z5hRoROo0OsJV86Vlqsbubwcs5YcxA8UqCo2qpaWxO41LGqeU7SUIWjRSt5Yac7+WyUTOUNOWGRKANMWIERKEpdTce0TCeKK1aGRwAYMEKnooxNm1QoPsIx6bcx4GZNDdXuJHKE7rjKXfug/jwaT/C41I+/Y+8tL3Jt8fXH6Ra+sipev3iS3NLzn75JxqGItLsIlNk0s6xLQbiEJvamvH7+V8PN/Vv/8//uX//L/81e//mePd339+ocfv/vf8d1/9vffn/d3/vDUDA9BUMf+bAz92eep8+E5XuZFmInEmS7iwceDYF8XHo/H2wW+1XXlfWcTm66rqsmLfZlVNTooAdN5mZYyEqQVOCqvSjcHtCKq3gslTPMktWV3iotONi1sa3zk47ETm7otZC63/JuIYzLOamcRGinLDBPiOIwbQxmFKIrrKKTC3hbEwDmJ0y06In4hdORGxxWQQ732SI4mHlTEoXEeJLo8MAhzlWlb1ciQjUjFuT2+UiQF/Z+AjLjJWwXJZxAvAvF1heaQYHftQLPolMh2FeyuU6kLF6TJ+0ifO2ur495Ry2DeJTUCwq5OTBgnvIkquILEhv28Bz7AgOJ+1M1eOf9Ry89gk8DisFjYPfpBt7ze5fRMK8ZTeuXd5twJ0mtmYSSu5jClJ5AEhjE4fSNiy+rSVWsXyUt1Ql2I2vQUMlq3HO3XrBmyc0Tb93NGXAaaPL/GpsbW657O2RkEkxKvm5YKUzO1ZECSNF6n1VIBrlW6eYvwAiX62JOefCJbDSXSAmYwURjlDOdamp7A0qc1KLRFTqAX3DEEBLwqu7oKjwt15QztvWDyyfKsEMXbsaG6UzZTOd1CnJIFHWzSkSgfC3Gxep4DyUqES95yq+kp+RVIBVqIfymAIyRL4QMDd5oV8D8XQdaJlTUJJ/EQaeVmrMjaMmUkx9CNCsHZxpiN6s01oPy05TdCvKXq0kB3oxbuTPd4TgNkLCT5aHs5RASQg5GoKScBKBfbGEACx8IqKTvLxk2v5KtyW89gGO51o9U27blSEw3jJAhggu6tn5hkbfyhoRjoT9F5OaThQUmV6DNza4orbDarotqoi0saqrYBgnxySlXf01jWEgbLUV6QtC8Wq+kx4aTJugiO6uP5lI3qhQLXJtqVyv3GAyAKnYkXoSCObhvznha27Ajy7WinSFC66QLmEZCg3XYnKBQ3dottvoMTe/IHg/qpYGBTxyrLxDBKO0BJcJ3xDDk+kKEjB/PbQWYwMYL3qES5eSNbyQ1N32ATvvpWTYaYrJVIWAaK2DAtOPiCrGqm+nOmd7+a+onNtajx8+YWh0QbvH7V/Sv0xeawQFexqoKeC1WsYJh5xF4Uotwdzbp1wR2wQLCJvrZ7KK7iMY+5Nnw30kCER/Be4yS7eOEq1Bey1O1qsHjRbHX58cb+pvlINcBqxjYZaM6kjmFISm1fBFDy5pLk5VeF90f10iYRNduA9fyUP/n06EAeUuCwgc5OlWFeESbcSfJZWYXheKYEuvbrBnyPaBC0wvvISNSRBMsyFMFOxKhE3fqyGxcLzZ/iQiBw3Vhx1Ku8+ea4Y4N7YqtSzor4Xy3tFjd3yd3k7dlL2e5keG/h7PvGB6h+3epeNr9zYdzisUpHBBlVZU8UY+ucWRQ+t5wxkVHzxT7tBAuGzcIQNVho/DYihDMdkqr1EKbDooGc+p0cNKfPiNIMmz6w2DwTWLoPtjKtcBHXhFYsXFNbHyYYMD3qakOCHaxLc3UHeeppGRWgVkhwC7bhXyA5cxhTauQHnc518OHP+oX/6t9++y/+3//1X/4f3tQf/+W/fPfxx+cf/3x++PHzx8/+/FHn+cxgqvnEieD/QAeUFqMIVFxc8KmEYrdgVvXjwlt1VlqPTNo9OrD5olWausTqPKECR0RlZiOIR5WOgYsBN04iQtLot7gb3lf2fZm+xElqy2p4UQlQgFEHJwTpFLZsd2IPV2MTMHcF+TTM1KnbkyTNf5G4IjSKYGQiNNtCL8EoXFStbo8B4HvI1+L8BBu5i+tWduxyi9vF8A08lD1MLnWDYrVzs2xPzMwR2zdvMPkBAgoH7rovoZd2IDhFZJS8iifLSnuvZ8OXbS8W0IW45lxVP0WXKiEBAAqaTa+ISoHU/rXwWkRl02JvqZAoaYPcmQaYPAbeaqOFrFP5beHvApJyYdHgleAQrH6xFl2rjDBh+bZLCZ0rw3tam5PJEuse3IqoNWhuVCrhK3lCIE1InK5LL0gnlAjM4fSzpuxGyzqk7SuTGpMPlN+r+Kt5H6pyWqEEom4AqhO/ivt0AdXbgtyAhcEdqBDVbM7OQGbL9zC5WykjtgQwgJbjZ7XsY78BSzAWABU8KHBykWmGXWOZnLqsGQPWxsklfrzaDiiluauLGzEOgptZht7iFxG4TfHKV8YmTuckW0rXEnwF0AE4ckf6GD7Em09dvKLZDM2Us5QDVg3GrnYqsqTAcInVjNAxTj4f4MZASxIxrACD62RgxxVbeI0SZRH9f8rByujovQq841xCRAVYB+5ZIQQG6D2bQXrWqoQl/iq32qyLEUo0be7FYSWlZ0vzJl0Q4/T3tQbN9OM7kyi4351DnxxJZwvk5imVokAP6Zg0HtE71zgsJ9JbRCvjODWSeghzNrAiBwmoXoARd/AmdtHdpGklDh/pklb+nNp+8TFuO5QhzrtZccxacVIq6TPuzX2y5YI8z/FQRc+ERPXFljbBIsw4M/4qUC6sIS/g0LQydRAeJsfEKsXlInfjuJoB9pf1C50VeG/LgeVQ7oibeIfD+azYi75V/F6PkLclRWYpGMuqFpGrqeKO3ZZOTAR4skBgdMQVc0lmFwfoSFQss8o6ugofdDvu4FRVNJe5kNEF1QqViYqHmoQ3Lr88Ru99mFGdn8f9fM5xm8aboPr27fHbIJid7ZGzOvv8zne8HXXh6xgRJEzVWvNS1Ky89ahEJH0elREWMnn2bMTumcrlkj64M9/FJeNiV3rtak7DcEGqK5VqLjdJ3JHfkESHecrrs2LK2v5qHWLYErdVx5mbnYIXFH1MyofqZ48EWuq6dsvpgavJZzi3IEPKoynlmgobfQN3jBosiR57IbAQuDoRb3WnaeY2WWGXsfU/RJZWGpNKO82mrzS+aeBTMgR8ulnXnD9aiVXKiSDtqAQIh0+LNmrtG9A/sbrkaEx1k/pIRoVzC54H0c0wBotuunOQFgs7uuQGk3JOZzhPhAurCrhfkGENe4vPMJfEjqHYv5CSO8lHAFUJaWnwJutIAlOqPNmIw3Ntt5UtsrE0hIUBdso59sbhXtKbcxYoN3U1lxxxOqfKGbCZCyvKWzDvdkHkAoAz/ytCywjm74LzwhUjZQTFT/tX3/zyl/+v+e/+7//qV79/+9P545/+8esf/+Pz40d9/e7Twnx8zgcD4+npsj6fM7JnXWU8OJFmokBxVH25dHVfb9fjuvqqoTEuQFNmf87BmS5UX6yBIeGtL168SD8G1RZYcz5eAoYiqspz4l4tEjjjm9CMVOqRGaRJryy0VwTBB9A1SaoZADyMB+FuNw9KnI6D7b7xbiLADg+GXWv7XoLZLclavVXj7qyIetAdoYEZlXPA2EnBLnclU4dBXmizYwvrY13rFN31ttxU5IDJjEs4ttdhkjqFiSaSasnhpX1JQBss3gxMkhI+fKEKioYwSrIqEBe987lmSYMV0qSrRHDmelWaues6XWr3FqEBAjb1ZJ+4mVIyTXZhsjUMrpgw1oDUSWOsdRExU50q0s2CRDHDyqBVVJhelrCNAyNkfV1aaUmq9z2kmz5VPRUIbjMUwrUmKOI+G1YOiIJf7Zo6+RyDDLoKZxv3UKMwRwS43SGBilciBGQXXkM/F5qmi6p6xAIS0nTxsKh8cT/8qIMd8ZphLznGQczYyAl0k4WZeMwNjwr+RwB31AYS7EgfoPdhmqfUaGt0ZaoagXOEiipiEFRbnaFecLu8YW1jcm9tewFOp0IWYV7VU2yfSWyIa9Uw8T4FyXBtQxuZ3WZkaXfZ1gY5eHFPanZEWIwaZ4xyxrPELKeKW7IVDT5NXaDWxXNr3pg1ss+zXSvPSR3hivsEURo0MeXOwbGHhg0q48V3oN44E07CtoFpO7gRcLVUu70vPK8nWXu0zdEEfF2kz2uDyVh54066YmRmbLuI08wcE7I8mM09NFlEHaibCWNuJ+ZFK8k1QXkaDUiQhj+FCCRYZu/0/MlYZXPoBOTTRLkRBUZGL0RUC+0obTthR95OAPZEt2BGjJauuEFgqqE9csBc/LjSenHymzqa8YUcUHQBPZD8tBq9ny2CNPOQtJuuDKWKSseqDRvjrbTN2W7sAo+EG2ZZugKI+o7Yxh0dozylKS6YkYA8rM8/8y6i3kqK4NoeEuDGffnBGqrUQXDvZc5FW0EIaiKNUISUFWPQAftguq4KrozmhEaXB4ve5T0+wQsJDfZeHSp2xjxzB9ivBELDn157sVZ8D4+fT3ZR40+jddWz5jr1pb753c/fv8G8f3/pyxZpo50cs41uZBpkJ3yD5BK3mT/bljGHe8sLU+K6PoWdLrlJjyQETsRhtq6Y/pVRkJxhP80eXiWZ0xw8mqA1fh7MBxZiqipzXJggAhDbUC1Efdf8LGREKZEcxNz9bEnFcfi5Ei4YrknO1kRydYSHHoJui1gDmEbhJAwCa3Ws21xUU+ion+MMqH1nOX7uQ8RL7TWoWF/TbW7p74gRAkWk3lxNg0zyWiUJtsr1mvrjQUEWBr0DFFX3zl94iTclku4r9Md6vWiOI2czkWPNoIHEUxsrXA0htYCpbVRENZXtqPtcvtGJzAhIT+TKhPjggkygdp1tNQLKpAFZyVgAkaSsbINu3rFCXPR31ZCRAd+FfJ4d6vZvoxwluF5nh5ZNC8C8XxaLcfhsCGT8ALuqNhN+B5spAqt1si9Lu0nTaexcqRfhEfoSz0XIE08YURcaxGd9fvN3j3/27//2b/5n//wX15++/ukP/+Xrn/7z+/c/zOePen//nCcgYOABZBw8A/UfIMkdkPaWMeKpLJh4e1yPn9Xjy9vb4yL4xJPjdEpjf3leA81sTjynrkfXlQDiRhWHbOBsoqtt9nTjsAo6I3a1ld+VIYpvSOs7bnatQxVEdU5EMojRPFCSVLzKPJCVfiiJWbWy4ggy6Gj4bgshACRnkgMkD4zh4ELS8F7UJsFyV1YOfFCbL9fEQS/MhZyeSeDZuPFdCUXIc8u2XlBhhMqdAgFO9GFFAxLEU+OEgcXqBQfhDZ1BOFdCqqZJY7qihVT6LpK8aIkQr9IzzV3Fv7cGrrUC34EC29+nK0314pOSIydR76nDuwunSfZ40h2kDa5FFwp9g+GglKewWz/Mu0GOJn3hannpzQLb1lftnYL3+kyBymPD3OopafuIPwq2qDpdbXaA/XDfSoJvVAA3Ncf4RGG1kXdLRlO+6o6UawIKcm/03ib27OOoJpXUhj0PggUXMTf6bDi6jujPgozIIHT5mqQwLCK7idwharQQdv5n6dAcp15CKiKurSm4u2qB8dS3c1DlQ+IpFxplz6DTIi1kmYdLRC5RjoDgZcEKMRhYm7XL0+BYDewg1PBDgV4GKDRrvCex2sQlH0wy1QqVnJuwZrIuCrtQO8V0momsiYTaC8qvE18kqcRjV8Qu0TlUkQilcgFzf7LK5Mi7eo3TfoMlLNllT7r1Ip+hRDe1KvQN15GfvORIuyZDs7Q5bvm5weNyNxuLdlT5xPITnnonMmFZYsWxrMAFoC8rhh8kjYsJFJW2E4XREQrDd3SKkBPOSSUKwkYiYvBgtoRXUZn2OAHdd3e/8i3gLiOKkweUPOasvHT5nKwyr1JtS1qEzYNm4YaDGO0ntIe9K4yZ5+AcyiYHmfwAkKN+oySJZ/T5nD5hlwPqLVq4DQHj0MEVeA+VqNzwDFWYUfk2/G9maySEwkqBkxvD7XAcPTqR8s3xryXmxraQeOYtcp0Jdrqt7uxtq2jIOzxumb3lxrZ2r2WOsLBq7TkOSCo1uLLqUyygJm5k6Ll5Fl6AZgO0o/JnsTTGlWIRN5+KlKs5LDbpyPtzxBAOPcd48HlwfWC++PEYXf0U/ev+5hf9/VcKkU6oKvFq4zSTvtEelDipcpimrJQ17IqJF4IvEJ2xOBVaIO7+ssFFqyyxCe8wEdWIZU0PRX5++BpV0Y/p4sch0P7Ux1dZlRkrW4fCW8ovkc1B11Wc1HteBRONxEOkLGv5dBHuKKhAOGOYLpVmdkMu3wJe5USGZgk/2Z2U92PRHeFwCuvEEC3wD8QgkfiehAAhOBASCLQ/1DtDea8Bb7hQ6vBI6ZCdTJHXjdGv8pSEUjTkbyVAnfd/vedA1kgqDqeFsEu43T8plVKsemvnquTzRTWf3JK7DwhbzyqjurRnBLgHdsD0fKttaaRDdpVjnH4VapmOfqsjYkTIs1i1wwYcO4FlZGmlRAuuR5650Nruxv2YC3IJ3ZY1k6MSay/I0pHmHkeRL+i8HWW2x08djQM/MOTq4Fa7e3mLAu5hAHtVrPA/uRbARWsqnmvWrJ7Zz0Fd8+t/+Nk//I+//6/+u9/8/Lc//Pm77/70n77+4T9+/vBVH9+fOX5+pKEcqTA+4zNj9RnHLzaomSjrh0QOQ7CvRz2+9NvPuh5giaouMPcxGjq4UOlF9SxcvEiwylc/qnhFCCphdvjohWmBjW7M1OPhE/E4X4pJjdEXqqtu0ogUSnTzatShLlQGJdLyyWk/kQUmJCORECQ6jHEhoyMwGuCKfmdTR+IqccpiA7xDuQoaXDAS73ODsyE1a1u29LvYJBdoz/SA8vVPWj9Z6XNCPOPWiK52dGHC3XxM6k40wcE+FHD9zkHO6YG4KxULUJCDZXbT4cdOtHGmUnKRpl4s/GuO5sLlAU239mTxpz/rmyPJNMWUKMlGbm6/XbdAiwQSe1G75e+2SKruWR26XTXQBSi5gMjehRF2Fkhqa1Wl+lw2wZF5LW6UOKzleiJvSCeyyHMbOCIKjz1hU97keFldRMmao2JXoxyfqx1iX2QUiimCx06PNavhwJorgh1MouEWst+bv+t2kq8GJproJhzn4hYB2CKmGE3USd4Z0r/eNdkqxDpiC5aANbiaqFXQBnO5ozOyaEmAo1SR2pIOl6kbO6HkblpUVcUPyr0ITrz+N+9F1ECBTf0k3YwQa7XdTIwIA2l7cX6JBRY4tSxYgOPEN2YC3QqJ88Nsz84pns22SHCHyDXg4NUGLYonORTJXXM4EW0CrirIhJF4sUpEl7eEp33kqlhz2u1SyQqEccYVrhMgzhoCthnNtIw4ScEsD7u7jqw4jIo0xMmBt0nE0mpy7oLZucUicUtvY3mQwPeyA0hFnp1IP+6qADGapZYgoLa7RNi7WwPgO1AEG0GTKxHGJHlD8k5XTWxFfsudgQpTyRu4NxJ4FjLIwQG0ee7I1thOkhbFRQGyw27brMnb+0dhifESiK4uslBXKlP3aCxkyvBLzRvxTwRhAROTkWdT5Z0YC4e3Km4nqe0C182/63rPUCVDChUzakyp26xo2/pZoV7dX9qksekc21MBGQ6WNRoyCzsXwEn5NDBgC1ugFjP8BytBlXHxxoBNE0cJX4nAe3Er4YYtMgP4NlREwnuLKKP4CtW9gDN4Y1AB6U0npqosqI+n+6jmNJLlw3n7edUvrvkv6XqaPPGGJdS1THTNUiIrUSwk4zFutUKLLJZuQAhmJt2vkx3b1nFleTBi57+IGbtYwZ0RTg6ADx4X9IHDgRv6fB6+P0+dfEUGrBbR6mqFw2l4qnzGiQeuDsRi1x3TEv1RVyfLi+DU1rJtSFW+IxskmZPqfQ+jK3t3fAoN4KEZhELbVEcGPOqypV5M23Chhwu+B7xM0pzvlUXynptWTg9NWumub10RYVqXreKrawxPJ21jHEzf2Jz/7HuaMrEi/sTQ2LCuKnl7jxxdacrqp+t+b8QlP/doCL6MQEijO82AwfwKPAlzWIQuq4LXInSZqXcHlNqBwVrUjg7bm8epbXKtrFo7XLr2i9b2MYkJDfK/B6GQjHnne90Oovypikk/rVpmV2yuWKipaIFXve9bx4CVcOQ3pKOrLZWMZOkulOm9hhL/k568KFfLi4OryMZDlN/mr//VL//1//j3v/kP3z5//v13//j8w3+aP//x4+OH5/v7mc95PgHZwyeA55znsvjSJ0595hOm8puQtGEb2FXd1W9XX1c1q8ETK8AeGRfpuuTDDi2NUjUi7FD1Y5IbyhqphaGHZnUL53r24ClcxvPR12xyzgBXMaL2gCHYsY0VyC7hYRnQ4l54a448DhRwci3dMTEMScoI8sqJoiEcIYdc5CCcei71ncBDbdRhARmfnSDOiUh2UVggOa/GfUwBVYu52ogVYm1n2VkwrhCLMJbAT7u3GrncC8LWKSVU1TkGXDsjas/uu3tcZT3ANOHrHEtSnG0X2hUTNliXTuofp3eoBbm4XDrSpaIsYeA86NyNQRJ585MBn1DYLh/bWkW8yITERu4DcEzXmWn0zVSGH4x0eKtE1M29BCRIXdyV26lzg3tVmza3ZbubqryWTfoOE1KdtizOunJxzdq+swiN4VUPLQggmKocTXU/zljbZPTNIwVcCNud+wJwoxeyBJm8UWEB2XqV0vG5R7hQleah2gQTyLcMyIZqEBoEmxW67YnmPNf7AXJebu5NVSlp7l0XEteyNjvd/BYBOZOO7kzUDC6a2rzkJBCSO1YggytiPM9JFtQVJc/OF7rNA462e79VKRLxVGCLkBoGU6cGAy4N75r1Am5KY++ijay7ZUHwys1fazCH6uu+uCGl3DreKjrf+ulTrkJm/NqqzFF0tjMqiF+CrWTXiDEpH5oqY5prdN/BI6ms58C9anzv3ZlAidhymF77pqhBZNT98vVak3e2lLviruME0HUKSBa8ifSBGbjyxilpc6hRWIS+977ckO5FnPN/yskEzS2XDn5Lct90dPSq2x0EsKhquqpFrzXHJp189Ow2Y483XPcJMbHBUpPMrRequFCbUbUmv3VV5BhhccML2Zp15ej51Oc5wJs1zHIe+U69T4UqoyioX1CAQ+TlQLyBSwi0J75b11ISbd6ZOHkbwexjQRlPL26TqeLbqtoLg77S7Hk/wfxKix16sOou6wNMIbjObesz13fqqJMXss7GSzI9wwgvOWO38dxPn2aAd9O/a5vuFD7Mhun0zFI178O/A1xnqaV96huPJ0ufxKd1KKjJL9fDf/WF/wn8ThtLl9y3YSQqjpYSSU3R3jT53zvtS3ffHjLARuaNu2LzMxItPY5kvDpTHlcB0u75HD+kz4cY54U+tRoQl0oaJfH0wQ0SSmACWD7FVlQvtYMAZFQUh2q+wPf4+Vb6qQ7W15Si8QuqIzKQ8G5Vt/HEarf2dD3t66QxJ5+1S4NuJP91oCZbifve26duSLhu5C+I3E3ap0RqLHgSF2mXFT9qFgpJXuVShVFK7pCRFnJTSB1NVHKtK+PYWIuZM5Lk9Me3JinW14WWgkRsV75igGxqdIgN2tj1E7yzwlIb8iIpxdAXtY1DaNw11ThZFVjWAMAKQYB1E+afJ8EdwWMSDg6zIz5+JUhwEStss2hF/JofdHNzGwCUI2PFPtxzOr8LtZ1eqsIYGdJob22EMOX5/uEZ9uYPqQjefxzO1UokS1rQtWdVe6/8ajzK42/8u3/363/1//yb3/3bn39cn3/+L9+f/9zf/+PXrz/o8+vMZ52PSWjd2PPMMQ4bx9RQPBatgjRmB+eoGz1t9oNsVqMzO9S3eiyphrhmD0GO3qBTKzrw9VZd1XETuNPPFKarTqmSsPIEI00wVLzkCT/T1SSvCLCKGIisJu19XseJWzd4o60nYnl3+SC6BABI+LUlsDpLLOMAqZVg36lYWhx+A1wy8pmLtN4kOOnuTsZttBvRDiW9MJ4GB+OIimmV3tyQp3zo7A6wgjtn6a77IkAZ7OWPBupQjHfYfK5cL2iTuX0Y3w7HeCn3qthjoiNTyFVBu2ok0nSHGnFuRd5TioGhrxXxRYK6Gzz0LWjEvEznSs2tFChuByDdEw1IY1uLpXxz+6d2ogO1EtrdFrSDNnsv37qlygtQTUrTuPawsFj62mxxM9oeVi7eISKxlVQseQUq+3X2rw8SIJ3iA7H1SgQ5LpbbmAoi0JeP1pJ9tx1chUfBSYW05xY9wlO4su8NQLMTA9KVhfpPl5o0svSLSF2rlTjtI0ndFboKP52Vlcuko6MIspaQtc5hGU/ync/e3JdPa0XG40VwMOWSRwCbODIr4ZKBTypNGytjduJhYC3htL6o7Sh3otkmpRrQJuttEmzeoNYFXVVIUn4DVsk2rlp4yDomN00zAWSwhbtYBpmjHAuV1bG4+pKqYzc2WA6FbaOi0Cn1jCt2nu0Xc+E8ip82mRRRm5UheopmbaVxM2AhM1opMxNQ80NgmGN2ITBV8NCw+0lcHrBpqHbX9STtahB8OenDi0wJYiVAoEitdmUVAgqeVJVcHWUbRBG0ZAsznBDLGN1cURZZ5eePfRWEoVvLIdnIzCphMIVeBj0q6hjr0mJWE0U8M2WuChoU/8koP+0ZtdqjrRdyYkVKWQCL7W50VUUPMgWjjuCzinITi6CCYD5S2RsxOOmrNtsjbaK3z986I22zZoHK2cYnFrD0J6I1Xl1sKnTyPl5zqMPbiO3JnLs6/fNC8irEez/rCUDBGKIhTuOx+3oF8DGM35QKNKiMkVdEBNM5gDN8Xtv8NverivbcMRQsODxTCkEkWBdgBQAmyoIQMWk59RYj8Rrh8NAsfWoexz4/wxvK6r95PP7Xa757sq5JCAzY5SSO5vxf1NpXDN5c5C4RccvVpSI6Nm12Qj//ia5iZdLEXdwKQIfZAJLfmtr+aVXxTF0RJuIUbfRVwflRIDmh+IC3whBvi3xrppjniyF3kFEqgVTQYFB7LJLTvICjld4kFaKhJ9DFgqArteSGVFx7pGQCcgBV0DylkL64BrcSE+VN0r4p3D23bG4i5nYnaZ8UuERVkDZNZF53KmHgYqdmmEJmJS/XmVUtrHZ5+cM0wNrASnjzs2hEPpXluZ8tMjdv8EN4ySKAy5ilw1efl05PXKXobrSOoa3ym8Mcbt5BQCCyLHgFGZ5bcZ0aL2DOZmfXeaWZIaRAM5q8W/DvqD6UpBFtco8MHN2ePDLpFltsTfh1vt5OCltvIsnufW8T25WHuqK+OJzqTiqmCR/wsb8mPfC9tLLmCveoWCBJhozkopplfsvf/7vf/jf/09//9t/wz/rTj//p8+M/47sfnt//6fP5/nz/LL1LhwI9ku2dk6JzNMSciFxzD0S5HEQ64iKMx3g8eO3MM+2KuBE7g8nk5A4jui6fLTTaXfvy4sY7ogRbQ5qPut57OGZyfIspzMjYz/cozsKeZmHJbLEaE8eAB9O8BnNl7OWoqjjnELWz1NNPkVjfCIBmLppV5aWJy4W4jI2XfUcX1yXkteTIwg7gBCXmDBVdicOj4RqqtlTaZVSL5wSi1rbOVlJ/gYw9wssVuaV7RAk7udYsZ7pOMJwh2yTHt6sZ92WU30yssCwwEZEEDSVoIjOQVneCMHDB+HajszL8fHN8c9PecUZFknnqYK0VidAqufvGeXCjquzkqhEZuhGPz+qzgUZZIbx/Mr3uc095vfL79StUmoDumhPqPkdQIVnzGJJi0aeEOxriFnm4M/wgogxEBIPSDvhJUjw33NPAAmDwcZRjJCSu0w6Qp/y4S9GO+/fm/lLUyri2vsKC0rW+QkKN11ADh3NPNpgImLFaAAEAAElEQVSdDqR7NUfRbUQkalZHBNMLQE0AzSQsrTAEuKcrMCDEiEqnA9bAHLJJYCCUM1eqy9qhavE45nDLlOZiOO4KeoSJ4Gh1IcuNTY7jNBsn0RJT3Qvcb4hFnhDXbObtYNeP3thhR92KDrSujG/Yuj+tS6hCLSim2tOzAOHwJisMVDwq5F7uuU/JTli11svWUAx2mINuwKIqbnumqN+gNywNkbJ88QnzTqYaD6uIGKixgtOmGTSKAYFrYi2FMoTCDtIXFgu9C9FEBWdNkRXfw6bHeKWDYUa0/i2AltH5tE6iowEvsgdHbgYgP1fiDhySg44tVH9D8gtJa8+NHQTmXi5Gi06DGboAxYqxHI5Tglg0XzTSSgJ2/dPw0YLiQidm1n5JBjU1n35/j+7jvpYt8kq8/5g7WGKgKB93XwGuTN4jOoNflu9fV0WQesb6npkGALdnKN5wvJmZj2XuLLa+D1KZwIQRX7RzKZdIkFMLucEorMRX4AT9Yr0k1CuyGdgpmCyCapULy5c4c6hrOCJnVhSxLBHhCo3FbbRvzaCDXT03RG31JcHBorQrMgEQyqSukR/AEc+zPI1z+tFu1m/47W+/+e5/O3iCBh47JCQpBVitMHf0VW7W2VkSJ6A/SdKt+OlcLZ8cHQDd3noXvJu27PYNck6pKLHTSye4mz3AJlXk4ETDByaCqz94sbvoxkPZaJwpa/hkgWdl2wR9hxZXwdWNLs483eaxcXZnw3GjVMnTBVuzBQJwc+CrsXuwnlLTiG6OLLlqTiWGY7H+UZMqXNgMqsIOmlnFXCg07/ZMGW1khDpzHlZtH0ihWBdwO/RvCkz46bZdkOhF8L5wT7xmWOyt4IkJgoTd1cJPs7R2FZO3BLpZ6fO5YwV9W/eYfLFN+LrFYeS1hrBtsSvoUf5LGdHNFQA7JEjqPWQmPaxB9ZIGq+xQDlrBLUdmy9h/QmOKgb0A8nbxZS+F/lkzAby2VCJ6Vsdell4jtVQpKMc2TQhSQQOtJPpoJU/0FDq/iJsSkjFLYAcIQQrj7KdCVdXwvP1Wf/Vvf/Ov/6f/+pd///jT1++//un8+F2///nzu+/m40Pns/wxx0zhb/g8w+09P8Q5N3OonjrM7KQcQCyxKzqbpdqeqDdheHU9YW7yXp4IHa+bM2azmjPq7hQcVahqydic71vDguk2eV01I0yjyZkkcoJrrDYLS0Brr3Oh/Sk/ukLVT1AvWdRnwKeTxjsoz0/XDiKE3AXJxuISBi/4gLzR31rBADDgAwhwHurcgquKd5DOvrBc3llpuWLvFbkwyH075utkq3F/HogLjMgPcUdOEffkvwgXZNJyLXcWxmg5Z0QgKZQS01eXSWIRrNGdqLUEUB5H5HIOdJVQ9ZtXyFmSa/M+evXyfOJuyLn6/hglN7pjK00kH21Dd9LtO/Kn2RbnvvhepAF6YxVdGcRTBgQ9WLnVtE+DxskvnwkKuGGbklJtBnblrW/h3nD7C0euxOBtYUgkNiXCD0AhYwL4BLjjeltxX6MDg1c8vEUzGMdWe/comdRDBN3wBEEGiUkKHjvShSDxpnGPS9/EojALtahJ2q1A+qWNOc6rY2q3gTvK8RBRXBHqamSNiaaoYzSy2OEQIjhMlEkamQaSfbEIHrH6de7xSiZBwdPdPqMV6yRcniVppUU9OcdZNRARXMg+GQ8prV6Hu7Zu5W0crKaP6405retV/WcJ8W7QY35W2GVHqd2x294d8HaKd5+VOrhN5a6ME+CIVUPHrWKorgR55gkYz+ynFTu+BBWxFSESuIjX6Eaq5ITmyJk3hqh9ITRjTapF8JKCkIxXrPwp5xTvZljwjQYQqZJzlmjrTa+JLKg6oAD4kQEunehAHn6aDW1yFDqlptdMdNN9ZAGn0AnjAEZdPbVxFkPWMD1A7cZP2ZAGOn4ncEWQIY7W1kqXx+DYJWUbssDJavF4KFqiIAuPhzX4eB8/J8fS0hizdfQy81yjLXwHa1VAONtiXbA2Us+01clNFW/itzyJ87AVxVKXs8JnExN2Y2XodkqjHBN3lK3X7hOvrcgOaNXMb+pKx/GTFTedTnFQrU1GdZSRUZkKq2AKRN/XlkgTS0g4ktKS9YEo0uakggN89kpkNGa+b1gmO7lEsbrHDgY2gd9LKSvPOR94flo/+4ZEUfPrH371+2+//19+nK+uK9lbnGgnoaxFCSstlvlENWXi+KpkAZQAzytQC6ug4E3G+oXX0hvtF6WhlnaOhKRKrTBHhboQRlml4tW4TBS7is1+8u36cvH60nyAQ8Hniefz1HtNl59zoaXJOzRdFQ8idc3VxPCCdPooQMeA1awzSqZOto6r4KllqIFES6wMIYHa5TIHp3xJ7ErAS+RE7ozVSZ7uBo9UqMzFwoD1iewZIWozs3OZqG07ubo0oQsLCmYkU/rOXLtapSCJG3QG+Doz7ySC1LR5OTvfl5J4g6dNhHV/OZmDuN4gXfqXxL4uEnTLfOyrAkBtfbm1iPZPhQN0VZ7RHX20ECe3kY5DZPHO3EgqYnAwEIslAtoRQeEhGcMymvkHOf8WYIBDwSLGCWuztCJor7v6X5weF5IEtQ4QMLhyGqMpJFipgGQc7ffs5Ruj2xbWH0BxGl3oMMiNovGz37793X/7N7//f/zm+v354/nHr3/Q+x/8/j7ff/z4fK/nu+bD0iUe+3zKOkO0ZyY8QpRK01j9Z/Zh8FmUB0HQmxqBbQkFSr4S5HtLYyweOhZQIFqsaorn6k5VsrN5q1zGCSWX5M++6jzhuojxQbM2c42bh9UqXxBgXMQCdapuxSCk7XYNYGBAGftMy4rRb1Wyd9fmQJSAIpVP26UC4B3UDt7VDtkbKpOqE7vqU9r1cur0HdWOxcdXzRlY7t5E3liW+1aNZDvBOCjdCIGQ6yRamiICR3M3e+qpuxBd+U1iKELhBTa5TwMg4Xd3yW9biI5Cxbnp1/3Gd58U1fB2LUK0UuQNEKQvIG9NTYrs9Hth7RJw3fsT24jbcI8vrvSvbtcMslfvgyWfYtskoFkas7dfgwvFCz25XcACTpqk/QkobC1ntVuBW2vvA/ts0IZUiWBQSnrrlhbtuI6wz6lONbXh1AwsFxeSgnkQpewIeeBSzGhlSvJtb66IRieJp9g0wRsImZSLjX1f2lqd1SvjDZ266rPVM+ycLwPdCKSDukXPAOCOCj0Dh8A0qAHAl9DeHBN4XzfJitydRbGxhicvFE6jKq1M/OaSQmAt+5r1aliZAz+MBgRJgYnrxTLbpE50qmRTYK/ic5hSMYPZ4so7wUbjziA8UWR7W09AbEqxFoC+03i5xvBFiZzqrWEbLTZx0rPaeA0jGJKb2bLezRzO6is02pH3ld9sn6z28o4d40go5Nfdl23Svo1vgaeO0J1NVMWRboeKICO16Mr7FmusdaWkbkUBZZ62jTKHScXzPapOMbxN7rw4UsLlBpi2G5hdMKpg76QyhymsWYQadwYWcnpW06t27aD8uSwTImmtpjdwNLw7mtKSY8sZBUvx6grOQnAnLMwcfNh80I3zifr0Dz/8OJl1hkS6L9EYoW4DExZALAIF2VwB2pCtaGnyZlKpLySegnyjkCluKAcAZcJjqvQbR9msz8wlZjPpM3lRt1BawTZYqYTtXiiUxrQKF7Li4IjEs6S1ygaXckBpLxes5kgAZ9Qk2A0ej0lOeiiz0lXWRlZBzpXFmzxg3XIFG+guBHTbe52yKXVj9XTHrhgqhSf1eWYuf2m3fv7Xv377xY+ff/jYLDnCZ/HBRg2Mcg1027ky185tqe04N4xCyICdhJHhfOnXwnTTRm79nNASTKXOcBURiV0icpvDIXlVsS8abrGqzW7wm8f1hi/f4JtH9c/sqTHOE5/f69OlTz4L83FWcsI9ntJt9RcXUF+q0Tw49Xh+nSMFTknP7bBrofgC2nAvzjSRosXilK2kYnBKYCW5wGP0oVtRssI+sdR3eKJiXKZh0PaUQ3IJrdmM+9XE3cMKsgUu3W7+8NgAuVcb985LIbHWB/gOtYs+pqJJBF5TOSLEuitCrNJO3NDDXbDbq3egDmxGLsIBJR7u9i91gMp084lnLitOUoYZzGHu9q0B9epftz1G0rg92pDPyVkABzWYTVBZXimloYxK3WCvGiIkLdt2pm0QUBVCx6m04B6AlIpOo12dh6v7J9gFFls99cmOejNRsGb7GNxgKguNQjORESi2Lo91nW7Q30z9Xn/zf/rd7/9vP/vy6/cfvj5//PPn+z/yx/fz/sP5/LE+PvD5YZpnNNIMNHoK9IGvDTzgMSrSSIbPjVZwh/etkt8nD6xAsFysRg+O7XpzIAIvFFcjFaUmz0LDbBdLXagBVBi166o6My1fgnCpsyVwTuop1Ah4AheVrMQIArd/nujyZ2RawfgEUlWoSymcsmK8RTXvkz6kdkq8m5NeN0ah3VOsJCQnVQC5kKbrGvhBUoNAAdAtV/UK9tI2T7jt0k8skSOLiNYOa4BbYd3mWsY7erfN610tyclhpzXVgttqPgRlcdbiwkedTgFX9MHEHhuQX+P9DKCulu4aDQd6dB+bG7QFolIljG466+YIFl1AhaqS1BUxG16ehBpNdEwGhS5KnsYKarODAifv01uKJ5AWhpXBx8ZaJgaZnwdjZ+GUgD4SC8XaOlKUJ8qmZA9V1dhdBmslm0lUueEZnXGJvqa8I5T2knHjVtg7n8wSQumXYmNKA5oCsQUUFUwOZuPWNoAMjp8pT0qR1LG8pJ0KZAzttFjAt8PWZO9TmDCnxY6jAJmqELUTtN7XAM8sYdpFKGbe273kfsCDKHDpwD2AQ49P1EEvujuJVkEnY5VJ7gF4B6gcotD0ZLIleKxLbtRYoNHsoVUT670O2RigsM3qxSva9TJRjdToIlDCXKR5FTYLWhybPaU6MJ/gxU4ZtB4zLRFnI2+vttgljt0EtiVKBkq1HYGVM3Eq6YJc4Uf4IfEehJAkUMyYkPKUK2gebRKlmBxqz4+YDZLdxQsFeCJe9fKNEba4wEZUZCIvo2tthFtn1qKcnRjr6DYzKs2JUVEq2yhrzIFbtSJ7oYrjigty6fC8Oo1Q1eTgJi3FdOPYPJNUZAEZ27uYOMEQJqgBu2rkTmDNYvjDQzTQt19rFIxcISW6csFxosYZs9jKk9mxIwFuMpvZlBJlrDnWIyaLu/QnsZlZlsaA1ylzXOkogZMwsNRMNZiXNsAbuZO4usD1L9TRd11ce+GUvUEYjhco+NCWKXWTGKFlFD4lkO4dg3/TOL7VeUoyYdAjEZfMNU4ABLtWaYF/+o2TbR0oYzJmHrnDXeIk2PUYF2siyMs1E/eA7/MdXgazFpctH92Bnll99IGKBbWv55Ofn9ePn67P+Vm/ffzy+9/+/i9++Q/f/q//+x8f5/oCk/1R1rE3sXaQKN80kifAlgk4PnILm7FNHhQ5Ryv+q+rtRo0EDNcVE6/ZNWYR1/agEalXJ8sUdFUTzeKTj8YDMOpyta4Hrm/w+PLAF13TvEzhw+UvDT2H+drXp8YDbu7K6W6gv3ThwnWVjRH6Ql/++kGOPfJZylBP6LbOzvb592Lj7gJjTLJqrLqDsyh0rjnRpOm2jxmAeAL73NLTFVVJ5qWbaP8JeYr/oxlpZzCpq4zbd8UIVcu6U3cWE90ZX0uYh1hzyrDNJcPCmL2itbVkbYXt5Ehkh4ahpRkCGau92BB9ZgjbIv35lSupZ7VHrISexQqolcCmUJqf4IhwuIEpgwHHuh4JWgsuUY/Cy3dGYlGCjrJvp7/l5ssigDeAt8iYxJ11XIIu0OTkpF2gNnWZvNRHst5u3oRAoesqUJ4rDRAo8Kolg5HYSQRRK5io6WpK9Xi45pu/e/vb//AXf//f/+Xbb+e7H3784R/P93/W+4/n80d8/e79+Y7Pp6Wnz3XmaXvkGXgwqzXu8esWVi6gjWdIjQwFVWBUu7jN0CALVUXWeY5YpcIFcjg8AAszGyQZZDW1Fgau0OxLDfXVZ8DLLY6nPi2DXWBhjgvN5iA7JVpoB2nLSrc1sDAHHW29e/nN6CziGMgoxGyWffpRR0YF7oTGaZWFSeO+bduhYKph1NVIqmEirFcq4vEOV8QtaINUOaaialNEXFxFtnOAq+6OM3paWRd3vpwBGx1lU9yJA9cQhK+lCGJRy6CmFVUhVZxstn8amhIxzgJbyXSzIt+I6YA4Z+yo1g/9IIzugIA80NKNPYqehQp1QrCRLbZZX1tfJekiO+cWx6DhuTUC4n0J7aWYnhcE3F0aV0fgh4t0gsJjzak4TVP3ltN+THjhGZvDW/OYk1WmIdSjCS4SKiwBX1XwQk/JlkrzsSfDsjw0MvHX7ESFH9wTEqhY2TNkYU/lyIkwdzJCmcITbLCTXGFP3gp3pNItmkr/4J7YfgHnZpjISoEzxAb03s6ulUl2l5TrwJ2bILlQQXCalAdprGL0WZpDKPrAobm8ZzAi/fIaf8PBB6yNNAdG1BAhbJseIzZPWURrTRrAKeYcuVKMbzbswB36K2vUAL3ZKRkFkWO/gOJECSyMZaPS36dFTI2KzXFfJoql0VyO5BO1yv2AqolquOUDC0x7gQI0zf06xY0hqbntbk2CVwIWbQlRy2Q+g4iyjLq4qshMw0k/jQIxVINND+ActIaTIyV1FEKFKmx8dS0y54qr5b70ndwrKB5bMMUWftJdkS2crsrJb1TUjFncRYlF7RTBaOZi4n5l9TOoQC2qEDwsUBxOb+kbZXU1RlVkqxMAcLdmK+qQaaClRHQuh0bDpkdXWdqstEjdxBecvEEKLEEnKZnjoDCujkURG4baCGXHyWxRl3GiQ4uFLfJcbVGTbgOp5Ak7CUZIMEY+6XSuS3sLo+zTJXUi8zBoqUM618qyM+85VsbtgRJlWcHXCSTzWhmLNjuoJkKEikqhNyVCuAdOrPYydCkUfU/k7+OyzypAqqiJIziowS7/Wy+iPa5DaWhVybfA3hj0g5AFdVUMbKa6Hp7POZfOzJx+Atf8/p//5T/+//7T1//NDz/ckk5k4ZvKZEfEWZsdhyVdjn3R4EBdhlFsmYsKFS3CQ7Q58lzRYQsE1OKVdlVOP8+GcaBGpztioS5XXd099Ynu6+0iWW94fKm+cMmuvG0+ms9Hff7g47XG1KGJ7Am4YfZb6dKj9qwkyAdaj0eJ5/JMP6Ep1PMU/DkE2eVDeDFJNjSGnbmFRRMxTtIUSkRnog8BYxq90V5RX0Yva4KjsGomq8qTFh4LPXkVZzH95ZrJf15ONVfoEvtVFceYq6rh1p0zRToTnBwkfz0jccFuT6FNwDGEAlBpPFKGREvDIiMC23UYxnWFFYECV4eYLshGYY4XvF3EMNKE2NudEc4BScgOrrHcvHP/W2WcSH0xFeMfu7gBY1AEefkyLFSm8zVY7DKqusr0VWCjyKrMTpwqVoGN3gipWnXWlj2oDLjIHi01XDBzMVNVvR091ctXGzHDFVhVjn4GfYFWuYrzzd/W7//DX//9//kv+Bfv7z+8//gn/fDn8+N38/5VH+/P86HPr+d8ej7wfH6ecz4/fT43PdpOokYUowjHXs2yMAYsDCil05Pp6ISMA0BVrKooifuqC1VEF8HL1bgqHAHgsDyGUZ1YO697pIiriPycq6q44pp0PgNWX3E33l7jnNAgABHDEo5GgkeWMIMFyvgMWaUM4rvN5UGu80UQI/gqXYTocgJFL9YDuNcGRyhRo1qaLaViMtXSeEcitn8RWLIkOJy3z7cgma4KugJ1wdTtMeucsUz+2n7fxhaEiFobsG3M0rZdVTfwmcwPaGtPA3QnKdmBQC3Bgkjp6IgOZy+dyRbVnmYqNma2wd9hkEkvGPFgKVjHdRiPAe8vb+/WZrC7XXQLt65yDJ2p09xe28IGAxkYaVNJgoFLhMqGj3vuMSkYyXFjz5IRBtcYR0aU3H7pMlK/pKkvxqTKnSFdMdymBJJRAmtSoa8Js0NXWkKNiSuo02bs2VTkFkgoAHAwdesbKuVaQnf0k0DeKRktZtiBqVnlLhIH7LJ0ZA18MB9+PukP4ClMdlqFT5VhjcwdCVyKGMMkd6w7Z3AFNj6O2ZGMOwhOjH9iUXQPa5uZ0Qh6DnT2VZBRd4VBwsSUaYJjOdNxle6jKiIxZBTQgLqdxNECZQHJ0AQH562M20uuox9fAGKSLqOV5E5q0zSl6QdRd3EMYzSbAA+vVCvWg80qQkWQt0vBN6RqAoe1CjwMrDI+JayKVaS6fO2F1hliWC6+hjWnD4bupKstuBhYDdpKiHCyX8uzPPQd9gGV1t/a4K3KAPhcBUg6phgN0MTAPl5lZ27XjIQNohPu/QqrE1wY47uDvF/L2j0m69CCRjbZKxgKV2WSGnE4edQ+3p2djK8TyoXuZa92EAhb1XZxyiJwSMtjFQ5KwtzgAO8lCoYLZNVlwNAgiW23wB6lcDC8G5uyr5zCsSIIG8u39Xrn3UQHmuuqImdMxQngIAMXJo3+PbctzfE62Yr3bZ/kgJVbDDjJHtuWNg+NIeYS/kTDSnJWYM2YDmEGOEuPbGHSQnGdCjGqlIpJl6E5WSBabF9Y7HTTKHS3b9Gp7hpOnF1Yr7Dpy3GgC2DN8R6ml++2oCBI8swRzpnP0fPg+Rwd1ry987tf/PP+7b/4dX+ZOZV8+AaHZufwpauE2utZxpN8Mo8byYo9gGqc46gVYiCFp0WzE7ajxZKjNhmr4CZBYAaLD9NHbKPFi3gAD7896u3qx1X9xsdVWM9jhaDubhXO0fNgPqnPsDLVrLYjE3xrXXY13ZddgtRjQI1uP75Bf3NdP7vevtT15XG99ePR7Ebs1OlSDZ8CAmpXlL/TURvcxJLSd9tgwo5MGJhjqZf8MFO0biBQ4Pjk6rwO8hQeOBJShmSfX3gNLysUMFMsagXKYU82CzhIgTR136EpVBctRhTQrnU6n7vGVzI9YG5xftcHiF0sqribJsfNsK19F6zMc9CQOeuPK7kzJjxy7ywBh41mJzWjHPn+dgEV7j6lvF4EXM76TmlSBH2Bd+JVbepC994erE1CIuFV+BU7L+aqFoCO86KyD6MfBLH6H7GbtMqPnPgxA+QvFGARvAJf98Bot0zUuari9nqwSb79jn/973/9X/8Pv+Vv57uPr89/1J+/x/t35/nVn1/1/sOZ9/kc6KlEWowKE4WfM0pI3HGuCvdsDMryRc7KZWM95SuOB3YGEwU9UPKwriqSrnMCdYtjSS0CNZ662shQ5ct4ajSLT0ILHF6q0zWuQg2GKLUtKPnouTZ6nQW5q0h5bD39HNlPqoby8EoL6UzlSYEJaGsF8LJmKR6EIDOJvkXhISu0jBRtpQdIUVfBqbAnEHqlELnpQWZ+PO4Nszn1RelmFSK47rXc8sgXeeMg6dqVoUdsZGBtSoqw5XfoVZvDTeAMq2QukUXTGBQbvYRtLA77o3Fnpt6DO0UcR8JCtz2l8ATjyzNbfJgSTItoHrvDn+RGuE0sG2/VFeohipeFF2grs2HRMGbx3huQTJ2c/jBNCDcLLc4tED9lMsHGbZsigGMSyYRkhWIMnpfwtkz8I65yhJl7ALrh1TQ6bEoQ7UWUayEEpILt3NNc5xR3BeW3lDO2C6kdojRP3GCu2RBDkeIC29K+DsXAyozF5iaplqcyiCIzdsgE23OSanE0dS3zNSQymytxAewkO+W+h8oHVWT5eAoXCMwC8UnwSl9+c7oAaNl1xTdRgdobOySDjDotkAFi+fLKL3+SUkCuS3Mysi2FMDqEcK++aUEe7iRjyKIf7jgoE0BOZzpmtX/Cd0JEcDPRKhigwDVp9es5DlGJr9twAYi60qlaaIajRD3uVj/B6HPUFy5DSZ1uIGdIkcU6QJXb55g9Zl8CDF6aJY7qaBIjxByPuB9zgJC+k70dwUgQ52iNIcFNjsjQmQvSIcY23sZKV9HUfffEP2+rWWrXgHTPlRnMAk8MapuBDqX+WKLs5hDh9GFBnLknSC5lOiEc1W0HiRtMGTMZzHaPioj4KmRM0xLQxBAGWjU04UeOlnGU4pupUFj9Ed2yOzCErUKphGMEYy8rOvn1it8PNU0901f7NlPV2jqSE1AsJ+t/Ff4RKxTKGKPNs6fshr8szZvUShSNo1mY+ibU4Cy9FQCmXsHSCjdfJfcegjQGvOIlRYyaZo/YEW0wBvgVZ6+xuOInkaevUjJRudYfb5coTAR1hxU1As0NrydcS0pVyFwKcLw43ifGu7meFXsgd188Bm5K51BPnU/Pz+bLu3V9PH/5/d/829/+8X/54fwI8kplKlANPgVI7q5c65QQ17WG3dBB9AQNqpgS6Zpme+yumAO0pv5crTceQXPoitA7oUVWgnbhYbVBlF2uquoydcuO/HzWxbbzW/zxgY93fQ79Pt5rMrh88eoC1Dnl6c8I8Buy52CkzMBmmaWymziIzTe3or2AhXrlNXVfN7bT9JqF4wzfDf4FVi+KlPz/oybsVHhLWQZH8pJm0fLuawsGBoGvQee+Uo2vJZLh8ZzJgmBGmh8yGalcqNzZVV5YJ5dhUm4AtWGULxDWZvMsNoSog5JoQNZlRyOzk0ewqL6w6hmc9C1M6FCWNTPYkmjL145yiCNutwXLo5dcnUnVy4FXbhAdHQVY/3+m/qXJtjRLDsPc19pxM7Oysp7dXd0ooAE0CBAESBAwUSRNGumna6SRTBpoIhPMQBgBmcmAfmRV3hsR53zLXQNfO27j2ZWVmTfinL2/by1/osrbrX6zJSCbcW/FqFfOR3IrTIqEVNU5G3OLbSlIs1HoMDarheY2eeZnXq2VbTY5L3movI91wLLo2ibgTlJ0gpX3WPbzm9/+7Df/5pf/8H/9Vf3m+dOXz29/OI/PL8+f3p9vz+cb3r483748PKXnDC5NMvERP6oE4AIfiZ92sN7qmEmDJKF2dlvtY+ejtMWxOFcAF04Vzux+8+ziGQXo7So95Wy3SVMMAuZUzcQiE5Idst1wF/io7ta4iIfv3lGENnJNVS++FHhROON4vzrD/EyaufWR7RzqwMS6is1t42HBWr1KR9iVPD9l1ODOpLmjFhx0VlLA8lXUdNG4yBNR6jq2E7t1Z535hhStUiVwHQrelPcveofE+wSQhJXAlJSQOAXLvKMzqQ5h/jVGY5Nho3yqXnHDiluW2FhbfA6DDKK5q725tYl2VUqBMpxhSr03myvSgYxsgVHvYyVKBxCVIvj18iG/eeawvXg+TEF7UgH7d2MzUCxXkoup6D/hLFcnf4gdCca6HIBLEtuTNGkvHkzv/m1iCi2xk9cSe2KQ+kmWKAljin2W0I+hn6n8yseTfQKL6JfK0RPcucERqebPT/5UOfmFAbqBTf1zpOp2oWV1YaKg2Ly/zF7moHon6qmbg0rejjjF1BtsTlLnq7kf35XW0tOzSilCHjlK/3pJiM6tculsvsTmEwaYyd2j4I4NikVpsRVc1glZRWDjnxz5RjY7m+b0wv8u10J5dq4I5IEwwYYdtQzKOJjmknc7iUww2CakCkuKVcuhNZPuSItl3Ur8xa6w+jjfcXHFSsdkuhxNpfnl76kSrE3AeJLEx2RsJ5AnPDcbl5uSlkAuW7OvNuHutl0fORoEWcTTRe7BjCUOkxqSBMoGeCdH3N5zuZg6ntjR7+XSBQ82c8yY7IIvrqdUQrztZKRadvL40kJmN6Pn3/nGnBx10YCYgCLD0Qf9oI0+CkUQOQLiNbiI+LxneAVqCLAQMJZrO9GCFt3mzKgxR/KU+xBXwDmanS/ScZ0W1NVIPwZAWU7fGVzkycqE5COjFAvsCDjDduLLk2ZnXhMJkg33jApSkZOzW0dFbezftqqGwXE++D3JslhgVVGx/yfysFZVHw9iUIi4d7PVoCdsLvERo65ak0DVTVovt1qJDgJXp5ZqSGO6a6yqD2t10j/FSiLw1AcnkMoBm834OyYqqf0jvDyJ1Zs7a1fyKbBstDeJg1XjftGkAu75dt5f+tOn812/DDzz/OEvfv2nf/XL//Q3f00f4BIEXprzwhqgL+AJB18gJuzCsKJOuapAVXFwdU3uuQVbYuXc3QU7hXpvOC/tid6kO1RJuBp2ybgIq/BSgkRfltAe+mCIgcSHdD2Onu8zz5onjKiDA3VfLIkeqN0YRUwOly15cGBVF1EvwugYSxeTKNVTKJ696wiHdF+6/AV+7l1a8MxmBCYRsFYfuCLADQISEN/g/eHwpqp3kMutvOdwMDAG4DIbmGtlEbsHoKKdu/89LpQv21sAsSjmfaMWbDTHLmqj0xd62dSa3mklLtnAfOH0adiWXcok4Z0wQ9NjGBmOA0tvGE72e27kPgOb9PCe5zPUT0wy6GQQdS5FICmUQIEhWgAzgU2lO4Eln+3dM0HsdVqsAmqArqJ5VRTYcaYS2+Xg8zVaw/mJyhCZzuJke5EVI2Bsvfs3llYAPIavuIpjMrz8FfOiv/3F97/9Vz/8/v/4q5c/6T++/fj+he+fr7cv5+3V75/5/vn9/XVmeo6J8vMJ6EzT4nUlbqEqEZIOpA325MLKlwBwDVKGFADfroGO9Z0rvuYkEeR3AuFJhASnoSMZWno09zdgFPUsY/RBQs1kqjLMCzCvIyV2ebiVNcueljqSHQJjlEbzfPdGAHmxFx/nxo926HnL2sTU+CJ0Gb1IOSlZcT3d4yjTr9K32Wvy8ALVZTh2GoOpmzNhPyc/pPDBqkZXnos9k8+Uo+1iMuyR1qV8If6qT1pfbLD/4KOEhrsrMLtI3gRu+3YBG19NgN1GGm/MZQ9PUHxpzAqeF2lOMPGoyHMWodTkIK1ZonoyBgDg9hst+mtsDojLSHLT5KbYE6OWFojAUNsMm1txyGjvlXTOWh2DQXbwXhsjXcU1YSchZAXIYQMySUZDs2eLhcJohbCRKDo/tQmNykBjyyXNpMiupLk1vqoEl3B7KbHOBEcVG4xtkyYZaUheqciEA0OQuaoyTxjVzE8zdm1f3T79FxNDNr6drzbgw7pqx8ZCZl5Vl0e6r3VbRyCre1hGFcunVJO+NF6CW5g9c3f1yu9zWFGJf6AS3kVutrwgCsHJRGVhWlx0be8wS8O69mVV7ARdyIYEQzjJptGEqG/dUZs5mH3fJrdyNXHLAjtKFJZD9m4dQhojXHWN7vjdzWVMQhmJFLRsIVjlhb+16LSH1ZNtteR07jAjrz5kEEr4IwReoE90yAWDOcQKV42m2RCrg9BaAnh6AnHY9cHs3UbOjV9cjkwf4JcLMQ275sTnghVmh6ADrY+IDiDQADOQ+gSQSlaWT14AgpHtbcz1MvVb+lGM8PyGf5Qsb8N1Z1oNkUNpz81CULo9lyKhLwOVwyxQU6KjoO6bp7Crag6aM6ryztKTT+jxBJnVIw5zwy9O/KAwxZfiRKllF3TgROJU4AUt9LjYSpBxwyfV8XVRaW4/YI2FqnFdJ9l90WQhV5sEYoo4QCui8w3OzUocsDkLogtsVpTKC9ZnzaI4XqXyXoNKO6ub8KJ8qzljFuVoS9HO9xV6UnFyeUWh0e5MsUUV2xJ54UOeNFFK4ZnI6cq2Vg8oL33MMbxtJbLRmZK8OSWqgNCMZ8lNHXRiqTCZZ4XSTHqpVBD05DzwfB4+Pj1rvvth/vx/+M3f/O9//eU/nwvf4EVZSoxT7FH6L+6084xihQqN/xQvfKgYb2U3CvUcd8Ipd9qXHXKaISNl2lR8/mWeclHjbuKBQ9Q1l+A2R2fq6rimffLYg8/HOU/6SE9FULvrhoXLpeY5SAMhgPfwd0MXxDF0XLSvs+fMMYA5N3eT/H1pBlHrI8mKxJyzoWHJAOjCQSiavk0mtYhiBu2ENYQ2pCZAObnZQXB2T6cM5SRNKgL7HOoELtz6V1a0bvf1sy93Iy6Z9YzkuzI3Rs3kVq9OYgGC7OxDUdwrbgGz7Nr3YLkYVwIKVhJFwnETdt3y/7g3kq+/A9KOqYvfLYmVTPQiUmgc1YZXvBCcs7igfVXtoVy0AmoljHKFzqpMtdz2A64ngjUuCzaSqVaMsxE3fnt9YGo4CUKIJ9ViPEAf+gWgXKdOhRy6vQer5NN0C2yyNpiiYfWnH+q3//Jn/+D/8MOnP+fr+/v5iY8/8nw+P/309vzst5/O4yc/Jt+/5sljSLyAkeeIMLtGpks4TNdoFfZoyykfWVKyLcNP0tfwoD8VOaqXfbh8vO4uWUxU3yJMFF/cz7LkduPF4JjHdVxnnlrEGXQsJnIXa0idCIvL7R6sU6LqTkpBAdCMUhTvZBbnbBoWj5XINt2Qc2WqFbrvwZqAPQCL7Y4uwTfxvY9rRoFQ8YGx6fQh7c7BoJpT7PFSPHOTSUuM5+bf8kB0Jnc4uV2G7XJppU4LOAelp5YHl+fCPe/mmQwAzRCE0ZEYvCrxbLBNduMWBjkz36yEsKrvYatkUT53/5/XvB5/qGo9f7nWole7yjPBrr3+hE26uJUfZlXU4+21kSZSjytsiNNtobjyThAbaW4y54ngZgVKUBQUuU3hoNKRDC0KlznS8OZ5EKkGDEZCIpKhmKkVdtuuSkB98SSL2BPiDtFV3jTefoq8/2eqPOYVxgMolufkimRQXOmJujBgilcjZQy+FzBtBR1l3Tm0NrwdH7DQnUE/2zYaJ5l4dVmTJQtL9sujJtRNbYudzPbo5Nuo1loZk0GYKNQj1gZTh4dU+bLHq3HKjtcQp1CdIX4DIAaheboq7XNx6gyw8pF1PhM5QraWMoLJXN+54GnkMsmzVEAm0kyZcQtqQRmjkhuZcDuEvwfBNiOj0uTSokco33VVOOBlGwN2F7SAajaONLYlUQ8weNDl48nfpFVpqqIwzdWD3c9hI5bEWtE+pjCcD4eoPzxMod56/eayEv6WxPTVh4W4DL2WyTn8Mu7vmyzzKTWrYccsj7xFxEEErT5Siss+Ps7MSoo2oLoKOuksiwRpNqgGNT7UUh1G1vHdrrv3IHQke4bFrp0lKsuTo00471UvTR6w8TDuiEDCc4LE23YuoVv1tr+7ggeiWOBJwZu3vYxZUO1DFTh5DHJa+VrNAbk/yka0thc+orWfSkbcmsL9M08VMTl9M3ZmJQx7tjnfhoK9Jt+Z5M7UiT3LM4XCiF/LSRE3NCpBueLNywKpzJBlJLGeBmt7Wx2+CjGf6KpSJINIMANq/dw9KpTnSWgqEsv730sYbuEDeFLEl+EpvQd06iezYhYAiuCwr+ynsl/YkLze4U6qmp/QQ/Pg++v7999+MnteXn/4q+//9L//9f/+1/+1Prdr0GqDaE83DgrSYb0k7I+VZsRpJ16yTkUC4ZL9whFeQt7tnbeTbiK+AH3E7dkoERcwVA2MI8/j4iXSLyoTj2/wiXb57XlAz2PYLzhPqMY+r4JrjtZ6sxlR9qnhM6x3YmvmlrsV5ZEnw3vhGECRGgxivIREzpIZMaQgJ75PuTMZBHiHCQ186fYBBlKUbt0ChtNJz0xnUNYDzQc8GHFZZJXHTM1Pxl94s11w5QSifPduBDWKiCpnR3x8EW9GaxBtRM6bNNeYiY7MEHMjC7qZhfh7/DGPhPgBYI8OV/kZ0HKjAEeuSvACon5EAU6l1I2RytV9r/2+YpEnumvntBCpRWOD35jqqSRP0QbqBVCgxwq/ktH868ASXo1E7xkdeOMGkSOjEVgbsEpK7sofmQcWRaLvFF5GfeDhrP4HJDhWOTGsU6xM1JcxAQLYn37R3/83/Wf/9pef/vLb9/P59cs8P788Xl9f//B8/ITXn/z8o58H0rtRfgLGKKJioarkwWao6kbnc4uHYnaR7VEA01VnlBam6AYx7E9AYpVW4uEncjKmbSfmnqIx7TLlUqkSJWyKo2Nhno7CDGwXjBaebhoNnpqO9ZiOAKlzzi0BIEicBOk5RQ0yNoTKX5UdUcbVQI0U3jUWCgWwkXk3dRoNA6IT2lssDZv5c8kovJOkQPIAV+GIgu5td1fvlDZmluVKAYCvar+oCTJ5IglhCTRhhpoplDoikiihsnKJuG6VbsbErEc5Eyd21VweEZ1eeyklzTIc9f0uo6L2qSg3QBLVJVSSsyF4cbWcHCxanrmJV3Y0LZE3kfLZsDpvctkwUQ+RUsDLXu42g2Qo1tpQqqgkvVH9wWz2DUXks+RShctM06yaAXwCNHI/NFfVB4ua7xXqLrE46DutzxlATxTGTMa6fE8NqTZ1msrBWSGXb0XXyoJ2yWnOmai0xkB96vywjM4u049k30IuhD50haYh7K4aT3ghpnSOFU0N7DKUVPxgE6rVRrJLnlwMK5Lkxkwk2zc0bsrSt3EZZV4IpVOya5QwBAu7iNQWwwQy4Rl0up8TLs+dpdbdHzMyB4tTFjFnwyku1DNPQWiTWFmimvIMQHeYoM1iCu5Cu7tguWqAF4ATrbZsjFGOpp4Jrg805d0mQ9BhIpbI6V7mlhmj4QT0jt2VjZasW+4r1kUfTo4YNEB6dpJeb5wqCTrwBKdTzo1QztY0AsiaC61kCdcH9ztJYkA+Gy51vPw7lllazRzOijVAuiLLj5RMAlzaxcJGiM1b3LucIx05q5dxGa+qZNHCry6VuFShsoaVkSMS7CB5+cODWOX7PlANGVGBBu5NvNERqrqg2tE3rRFndoUAK4SagIqZxsnFqo3vM4y7mTnplpnWI0kVE28S8DKzDcJz5wZGvE/eolmsirlukbLXugMwGgMwAVX53bLklT8+0XtT3xmekHAhkV296gjvtcCVXE32SrBdU4A/JEIm7v52LbqTKXCErJua3dFZm1KYxzZ2hYilBiOV+HT815CHamDirIdpnBzjXgxsiimS9Xqmlj7ZFRw3mZbPJ8eVG/eyxDlzoXyZ8nPm7WF8Ot+/Gxdezxf+rP/0X/zmr//9l8///vWFva7kgusZNWzrYlHFFHsOp/CSa9sYHm6aZ/xoxETAhD1tDEaN4TrwyjYq1kGX9fFFDYrn+Syz53r06LCenqu7wrIVBpJ8LB08rcd4UrCIRMp5PWRjxR+4i3ot1Ogz9qjdAkZuj8kZR3sjdnmwbi7vAU9xJ3qkLM3ayIxMPMdTrnw4xR06SfBaoRrM7AWBFzTIQEkiKVk0wCcanErTIBYB2ZDBK+dDZNV0hzPP4rclQhk+g00socUVudhKCqCxc3JaLwEYizDiEge+RorN3stDzo0w0ZtI4BZVc6Ft9m4saUMvbl+NZ7Ahmand46pC2EW4qxNg1pcTq4cyVNWiSztEOiRZiq8X1CvW8pnB/UbuGEMD8cS+k0SbKBxuxJOLRPre0yA05wPX96pOJ4XV+btyemZ1Ged+qCJv5pVlH6NwXJeAGnznP/n9b7/5n798/09/OPr89jZvr/N8nbfP+Omn5/uXeb6e55yZ7Z8Zj6XSNYGMJnBKYDmbZFv2UsJBnLS4b181wfGRiJUcS9fV34JX2Too1vGwwtEwfHqLCWSi6kjNkspdpI7kKp+xNZKCtrAS/1cWcBlHfopJetxvxgbXCkMWz5GtM/ZYM4GXM4diVUi3kmVZc3VFN5YprCltnHGnCmFHvILzSO5IG6o8fm7eGnp6xEKU/p7oy2CPkliJe85jRGZevSB3hC/B4emUsNNs4Jn/tLZKVYAHedNulx5jARPwpUKD5b/lvRmxgIgnzJ2EeFlipQKyEg+4FEKm6VwoZUZZ7NqGEbOIw2HFlSfuULwTPrZfY/dxE7FSB86C1pvPTQ7Ahi7F388NDaqo5QuZOYDovipKNC66Flt+GOtdxVgJcoSpaByRyMlEgreVgFQ1rygozr6+3HUOmGF1kAyUGL5n0vvLjTYDEa5d6+8gVGnw3BS+PHe25LrP1Yi+DtC3jjrFdVmMotvYfQy4xRWRoyRnI11lIaMkhpBMyMOGyZPcgN7oM6YDBBrACdBapFUXFWkxTjyRiCFtjtiKKVYqTAZ5eK8Q1/poYlalGFNjGObaYL1YOg2oCkqGPclBFUYx3tlaDZYW60oJUd5sHHbbojB1t/PGcJnx1QOkV1zOIeqvxQS6E4ZOpAIc7RwjuXjhxmwWSk1bcg4LKdx4Cj/iA/CSs8DHdaZbhx0XtjhEQfOVtQmkM5t35CstCS+2mFp3wA2OY0XIe6F8JBnFuDJuiGBUJ6Cdtp/8TNy4bxZJSNlvvGIIcwWZed9skooyMLtiHhStI+jiDCoJesGultuK2DF62NnZYkaFWZJywZbtBIuomFMukrHUczcYK84kzEDUVZAvwuPZslA0cPap48IFoejCwLHl4Gw0amL053CCacGqnmyVki9YW0Wi/S2w/upC/qLZgQL2IWOW0DWHYK907oG6Dcw0rO2ky/HJ4X7nYtKCavnbrJyFDzojPotsjYEzByPY7N6d9SaYDdRilnkmTI+6eFScSflIMr0iRYxmkhUMFiNzhKn3cXNP0zzOKfRNHeNBIOUkLY63RmnsCDgZ9xnhRC8naYaTKPL8h2qUA5o4+7N16ry9Df24wG+aOo/z/Plf/PIv/t0/+A//5T8+/tb1CfAlWDy9Z9t98zmcWcGzCaMHrFvwSUt5tyrJKMG/403gGnK1qSBVdgtzVQ8S8BAqCX768NSL35+4Xs1LXcRFokZRJMOj0PKJyUMViwNcN/9GFc3B+EnaT4KaIkdZulSQj+elqIWHbaCePjlTjtUrUVeZTCztSPTfkxoAprsKs1G2BniIulU4kUn2Ku7GJ/Mtw6YxitsMALz75PdCW50gbfPaWWKVuvRkgBKNVcmkSTBCHuA2DEYBQ3PoHs7+vV6zqWPCIp9+3p7tkMLef5E+HiYWOak9uuIs2g2pClz/qXOAgb4qkyCJGG4Xr24ioiooyXnbkgYSl6FeoqhQupWEd7UjE8a+7RqIZoNrRq6KPzJTe3D/O42EIJLGG6lWLp4NFBvb26pmOLY8Cl814qyq8YkxjRhPUjTsmA5eYJ/L0LC/5y//2fd/8m9/qH95nnx9/bvn64/z+uTj8+Pv/ub1/e2cz3MeM09AHRBnAMQGJfnjX7qaiUWIlsxZMtpRxSPh5FV/z0dtsH1VXbGmtUcqHj0roqk9Mv2RhJ0AozlI/UV0uMfRZVK2lDDdw45OGGU1wQafiXgiXFNT7OW+rRGV13zS5qYMsDnFkMiqUBq36LcYP8GI1wVrh6QGfGU1CmWYPxArwsqx2TGAXQWZHYrjvkqWnL312oSRMFVmknZE9GCB98ux0xHt9eaG3s0Ln3/SK/YpCB3ghZSry4AjW4AnaGVe0YjjLPaHMo7BAYmEAKSihMc4scTfezOLlcm02ZYz1sKLjJ6Iw/bRiCZoNXEB7SJXMj7usfvsArzEiysZjCJm8Vfe5EVsvZAV5cCef8FydD+phTTqhAVdeWoSvbx+qEDoVREl4kZKjOm5GnesgMCrpfi9uGOPsvB5JxYk2CgD6YVN74LJLgQjh3ERw1w8Akq10hbWHZVPOyWJARDi8Svp1Aa+hWkNDGJm8rsRPUc7FRlNHg7fwKCz6WxdBBGT/WZln9a+jjnkefvcr9CZuTrgBjebSOuG5s4wINHKfpk/m/tYeROddpTGFrivnD3xQrlvUFfSLZtOK4gprueisN3SrA9MfBjMqeCpAEfhsngXxKzOqQP+I4BOEMlIhdqOuye65LILc1L9aHT2vmD/Abh6KaZ0ITCxJvu7rXow+G4lWxbC7GaKoEJYaKJK2KTfKJGwFAanNgotttWUiS8M1g1PZEM+E/Vb6iGq6AkrN3sNVTpEQjFGSEIER/QeQKtLsW+/jEFvOd9culP/sVgu4SjI72E9TLST/7X2Ik0ZvkBXxzPMD1HcPeP3NCreYWAryfIMlp2TJFmvhnku5WFPrlmggxYnuS0hH0IgkyfqUDFzgPdUQ4SGOLuijQ+HNDCO/UFOHAwTlxIXMVgXIm7jQthRJ5u+PdL6CHELXp2RIKN7dicsBvoBZK5EI3tKLq6tX9gs8jUowgm8yx9UXeF5A/XnG4nsh4IQk32AB2+OONrRvtF9s90qNDqguY89ZYXgSw7GkuNemGMlWntbLe26ECdWqEQgjll6VIUaigooIzPaKJSYdXcGLKIxfj7m5dLb4+3T42f19q35Pt99+e0/f/kv//5n/+X//tffnu8AzItrVw70umDztFzZHTPPJrA0d2Id48o4fs3EqQVl8IuffPWrC0QxWTVPm6qGkX62WCqNZ8Gai3zXQbMETHidqA8TKBNeJbAxi2TK765BztOCrUT7wWfcKNKTRkT01hEsH+jVF6jGaAiiJLok9kECK1cfI3Du50X8oJALRmZq3+ge7KOFj+7vLf+akUhfyYSNgMFmr1k4BE4iIUIW5hBJLAnpRahOmMncrjZU6RLIohOoKXxclOTev8ocQVgnXJx0NDybH50PVzujMReJCfZkBqjryvTPvcZdrHrpuljdhVagh4pMiNed2pMookp9gRgOmdmIcvDn9d7lGLPnO2+u787wzt2TTQtkb23dLRNJXxlw61iLG2h3P0rIhHmTq5vvlLycSJjMlYYSK45iHt8C22nRRdiv+g7f//4Xf/Zvf/3pvzXx3ftPzy+fz/NR+gmvP+l88eOLzzv9CNBI2OOnDKiXPEOb9OQXz6FVkRzslxG+2UEbLdAaz/rhbBfdtcTFQKbPDFVS4MKerT7JaFkX2XLE1oz840DH55lc4zk+zzkANGfGmjMYYa3I8XlXhYSNioZ3mjHraWEq35LF1LF1URK0ejWZmjUW0l0VL1xhbVBZiPfkNja/dt/+/DdtkDk1fUPvtn3C/uSisO2EM473UXCtstmcuo+Le7lw3nWMhdxtuVcYD/0KRhQAkKkLroS0531U3mHuBZUjARtTYzhkT+8elM0ml2JLyRYMMpjD8u6nVFJwM/3gQwgM7+myaT1kAc37wirGrRFku5ycOa2EJcPqsEKy9F6cLGA/7C4mcjekAZdvnNUIdgdsZBiIBJx5mc+NxzY8gEuWzJkpkzMxt12RFYXiQ7OMrmZ3/k23BFc+WZGJBAKanpV82V9Bt05kfbgPA0m5akP10Ta+/9BmQ+TfLqOI0fGlsapWPiSXJzEdNVh+3kBazG678ZpRZiJzcKM5miMbOmM25TEkNzCTdR+ZdDQhbGmRe9DmtmcZyEiySqn7aBZMHWQopITkJxqzVqUc8oFNO7KVtGZvHGd+ZHMmueS2l32JxMMCaSlJXt4LD/PxiOXy8FBgWLa6NfcTrixjGFIAEuQuS6Jz7hRjhaoJBTG+L3d/RebyVnGHOSFBrjm3Jr9DIiQLrqSXOULNhbroOzL4NpWdqJ8yM3QV3XXfJVjOyDBmjnWH0nZdVWA1YxZYho0IwlnUIIAtV0MWOGB2nI8WBaLRLedAq9ztwu4FK8jJxmUSV0ZDLyCIXb3ysIt/b/0zBKThZ6+qNcUyW6FwbMK1PtYdlG3C7pBbAe2HkzQoK9axWmKMZcqK6ZguBA3LB62v5k4+weN4zzVFIJuHP3ZY3nN5Hgisxys6Q3Aj0yM8ovWhHBdjCQoGhlvIBlYl3SpwUpJBFihCXodl9BVdAFyJicOuYbw/YUKdc3L1q/Cc/e+z1OUNQDMC+JWepa0lb446X0ZwGctHnpkDCc8z5yRkD1FoZ2aPhtHr0vnAXQulvWliaUShyvevVEHHwGa7EpYom83UpsiGqujyWC7Ij1d+efin98d51/NLP57PT7/En//L73/2Jy8QVcAQqWwVn2306lmHNv4eUVf7sjKH96CmeIRDTr6OoCwIl4H5KHNwMaEW0RUNXCVw2nGMCpT01DylM3p4xnMwUzFFrko2M6oR+FuQpDPYp1ajcSB2HQEwfXQnb6YzhLbLKp1YA5Gn38c6yo1Rkientfk0VTwpy4w5FZCjL85DWDdMucdmwZt3Ai8wnXeWNGfVOnG90tsxETnvbsH5HAMj5qrJklt3K+EqRgAbOtKekagRz8zAk4fNtSFUiZyMtjqfF8de0Smya/vKnGj7LOnRjNir0NFImEUXUe3rBVej6GpW+RP76qrSdeWXuI1L94jl3cOBmM56kHQ3kqno7WiNi/6Qj+zsgRxWxm7NtmJ7T40XUVFNZlkrs801CRGoxtY2pX3UGy3uVf9lz1qddsm7oWRfYoz4gGrEy6c9Vf3pZ396/fZf/PDLf/I9v38773r74/PxnLe38+UPj9e/fbx/Po+H3uY8QagkHTjzSYZVZZgwu9vWkW9FIFeWRxNIORkQyQqy9vbOErhrLgMjnDlClBw0jo0DVycdPOLW6MIKF5uoIc7I7zOPc556jhM7YHucSSBpl6pBdxiifAN7d4YbwMAzH0nsyqSwS93GsNz7LISS2Vh7WRJE0GlrMDDpi9upf4GJcldnCegBk6mwo4KCi5DyGlxCoNyq4AzuYJS2JIzLWSfD9ueyZzTgoZ+NSil9JnLYC4FX6KZ8I1zBj5HRB4woMKjh/cB7teZ9bfsBzVgzA0mi2LtrEhfNqoQiZ0HPu3AvidpPsXCrNW5U/R4iLWaewaom7kulevf8rOlYL3t2uIVq7nNsfL8eiC+tdmbI/YsN18Li4/tVDMr2RLMxO8ED9LBW710JQGFdRb+0Cnjxkps5G3fp4seZWS1WhYfPX+A9edZ+qypj40lzeh4Lo93hng73GuIMeV3yydmO6bK6dhZog3gmT9F05yaLcaoBys6AR1oIOLLVODhZMSM/OTHeGKCOamjhaZ/xDJFgP8E1IyVzLVPGmMoTrqRhx0UaXLQYYh0mMQzm1LgLerMpZRoyCc6aP+o2UQu17VaqgPTJAN3lMecD7zAcssQmKgmp8iTOn5GSRtoThYQjfgoQvYKJNAas7Rd0HgGyhNp0oqQOJJ8MS+TRxJKcBV8Jz8/6H8g06pvNyySDEpg4i6WBNO+dCKBYvocs37F3YQQiVmpiBqa7Sxugsu9C8GOmAzcFz94RNt9Y6Cfe50JeiZX9RGhA3BziIv175lSckm2JcVzk/IYrtFBwed0/ZRz6MX5GCw53V+Xwwm39YZ5yVvHalT+QPrFyuUHDySKJ0kkqeTV7rkbH6Ysx4VIRvYs3QbWE6mTJTnZ4yWesk5nRuZiw7BTpogpbhIjg3bOO64DNllEpLgEiEIv8adP1KxRQTp2ADrfaJ2PSDZInwjZMniJbuucA3Gzdx1qKsphsoNsqxkGEFpW2vJy9tleCZdASdOC+NUsiS244ry4Wcpjm2CONLErC0S5M3leP2uix/KKIUpdrwUeZSnOweEdSZwL2hjgVjBIAPXeZHtN1rGyiBlTz7Pcvb+9vr/P0PHreHn45v/mrX/7yn/3iGdSthnwxXqpZK1JZ5IBwDQF21dxbcFrhSiyzF9cC1T3d7ppqEYeIsDAQRmKPgMr6pN1Hc1AUZHT6UKChxbSiK9C4hMMQkiyNcC92BGFhxjZngYYwYZIzlECZCvcZgnLIQAMe+mmMfSgVjlvGwOSgPRVzQBkU5umaFHJhyfVE+5jtfbKxy27ld2GkfB/6GBYrzGyxQ/cFya01dxOsG9zf0cVYq+4mtWPMwRnjTKXrb+xjyOe+b6CBpTMLhpoYYJakWVcTWK5x/P8wajyJ6nHbyQJ05QADiSb6Iqur8IJi46pmdXVddVWx6O6NZyHJCq9m4tpxMao8EmD6O2+g1Q7+G2g7l1n0xcXes7gSYrjSqbg09hRexGHzCZTay7Rc6W5JNchiur0IpKMEH/mOQbizaWXVuNmETSIHKRyQhat+4K/+m1/99l//gJ/x/e08fuSXtzOf8fxpfvy7158+P57v1EM+hjR+mrDsKX09S3Lmcp5r6h6Pb6MQCCQeYmSl1OYSErCerJocoxzpeIcnm88H5JBSELo8QcVztl7lq910bMaQOXq+Pc8cPQeyZR9PwraO/ZQOw5GYbZZoyQ3e9a9HWWVg7WaKRdPEnGzwkkkVNFYBNoIVlsYIHlkX4+YVWMlDUDLOkXtQ2Tt8H+QBuwgTng+MXHtzWJ6dSIKN1f7hK5JfCkPAQmMV3JNMqHcly1ww4hznosvY+K98B6bZuEsvypvemP/rmlCVMeVkl45qJO3I+aMzlUdTI24CPuFGNe/dLS6a6EKCBiM4MFjFlFjDrpRnVxDV/atfHXWLJlahlHnpPoJX8WTf68t+MLXCpN3UIkK5A11tAbn4XaM5BjaQK/IwYijPpGqZpNW9/42PO4/0oo9mDId5QezqZXd0CNcVnUNJW52jbJXK1rqTlQEFT6gJzROokMhMyNTKR8Syp5vuT4a3WG+/YUEhP3jjOaFfsw+eLsHa/Bl5ODqS5r4D5gN1yqrCDhiTFVtFAc8Oo5gKVX/o0I12vsvgJLbhE/gEs0wXFh5KGxw+zvYEspu7GYC75S1XaqOLGse2YCaXB3nOhYLjJJdMSDhTxgYzwln7FbVGwOEl28gJHjNLSmZeQUEVlOpEoqLZ1SZaPBJk8NlATF4qH6uaRCjttlkS72CZ/BmzZVsLxN3UeBCVmLKrXJHrxNy+zrfJNxdjaMHlCWFaXNBdncOgK+8xEZRgTXVk5G+IxtDBPg2zZ8kX3tpiEcBsHhVISByMBuDSPUuqUpqcNfmEdrF2+BYWQXWaE2eZEXEr0bCh4Mo7An+AuHakJhUhqYXMm0a5Ro54iewAKs7Ol4xqnYlsLaY1lUOmCz44z5kzPpiZBCNL5PZrRB/NHE05FRBxHDc+Qt66r73BUQUOlvW1UWgDnjuSWPvK5oRGHoYcIBFzBi8xMFwNAVZ019lLIg120Jt1ct/6tmzXBqheCGfBRCIHn8uqiriCsgXPSDMpN/Cck8r0eRxh8hpPnhyZeUjMSujk7e24Jadey5wJ5dzIhFa1804OdO6OuOuuWWwg73Cpw9tVom4kP9/9+KzH61Pj88Tr57dPf4I/+1e//fYfluyevnipw0s3o3YO1V70BdNj99Cszu2yiiHDruMWWi7Py1EDVJXFAzynHysRDTKiybUdnGeX0gSEesac2o7ycH3KY0uRE/8UqlgDjXU061wkFFKUcI6kq1iZ++MNNc0DguM5EtSc0lOYdQLvuzIKBsEzPeKopzIaUfYRno62PZhbEuZuC1kuBgZaslRMUop3W9wgfYJAot7ueSNgcMC8CgcTJ0GoviA2J1SorGk4zFr8VfFwehYroaDISLEfowqgF12KV0VJB7/RAoBsk+ycf/ZVrGI3X7qrOv+xuliFTjCQu9DhVjNUISMUUpecJIpbM8UPEXhhVQUeLCCf5FjkUY6bG/CKV3KqRkkaIrXCpnJniRBjC4Dsq6QdsGi4KzkT8LIqMOI7C4e9fvoDig0F/+3lZqYwVRDrpUziO//qL7/54V//7PpTvur1+dP1/vbwg++f5/OPj8eX53mbx3n4YfgqNlg+OUq5hShO2geRNAEaFHnRMEZlovOWZ2Se87UGGOvXDcIezcN5PvQ4BR3b0pMB5Vb2ZZave9rJA4cyPZLfH2ey8j6BJxwzr3SOznAkPYNPlgPbmyTHm+2wV4m5XlJzh+Vmp1UXcSVqZmagifk+19uGnWIrW+QFaTKzF6pxLcqC+6ULpb90bwSlIdOEy6uEJq908yjkTSTzIirAZNfc4+lqO9KLRFBxdIpa9UJ6IoY5H5AR02Gqi7l99uaeTGKF+2+sEBzRPtys4AS+7B2BsurChlh54MCO4h1li1IldlUExoM7aFIBbaPm6KUBAoLjbivPVZh7g43FXsJjDG+B215wuUlW6kuUawe5Fc/bYEcC7imzzm2QKs5oNuibBO9VKid3R4qex09gvQhAbfwrQLfDVYUOrAoUFJTvg+YDBkV3xdy5j0WqcnO3NMxtA5KVBTGTYZ5/wn6uij21zwCMvrFJsq7dKWFVoXK0yxX1sFdUBTmB3oR8ZWxQJKmE4Kd9hGhtRhpMMO5pT8XKYI4HMDXedLejmBZ7j7Gon122Jk7r1mrkSkkATODhPug5PgMk5e+zMDsXcuLGhFxcnYdjfcRyKxER0OtajiKPLHSKFZS4yMhd7pWwyqmodvEWprl2fsVqneW9F7EgfYHq6Goyn/p+fi0Hnqj0mWR4hoPd3mYyY507mQMRj/SK4Bn0veUAan0jamtlTdVyGPe1GHvBZFwG/h5OA3lqm5m5REN+zlouylHt5vpJqUa+GRAo7f0dgVKtdp6FoQOBMP8Le7qR2fophF+yllMi1uGRKsOsBTe9GdmiANHa9N5A7Cyu/4RRnGglpCQSu+AFa9DWaA7oPE8rPUpX/ZiypnRMFl1y+0BjP6wHZxAb9nkqT2eehby3NiLAy4ISlDbrfZBRb47CBmNgWRTm1suq6nv/Dnmlqq/Ex4oJNo3pHqnX2yRERRqKeFkJdiqulsxOdMJqUHOZuTOEZ86IWfmmdbPdRHL0sZ/T2ynNETSVFVo22aP0p8YvEMknkQQHFsjWPS9lmoxA8t4NNLPm/mA6nPC7Yku9XAcTrPGBm40tDmY8h88v9dOXOc/zfNPj9fH+9J/81Q+/+e9+cf3swcmcI/epD1VF8b4jCcfcmTJALyqkyLW60h8wiO20hT4q1TVqoQQ+0FIP67iRVQY4uswmLoBElbua6EXXBw00uD9P7XOwivyvs51w7NGNYIFCG/VUBb8HK4DJTOFFT16ipzT2c/ioehTF7Coc4NAGpUtVIndpU6lXrlLYkH5hQX9FMFlgk50MZrKq24TiOlnM4QJwxaBZMF4yUSTdJ8ouENd44jnM6V4xY45CUKdMSMkPt1ecHM+G47vTflyNnD253O4AIRpKLpaxVU9F8vZsrglhn4C7pXCpu6149kvi0WKRYTClHeJldAXkZ/isZIjs5CYwGjfCWrCVJwJ+Yv2MYUYivcwZkSNjBxUboq4FROCT43Bbz2oPgPvw5R3lFiA+NHIAXfpWjQQZcJQCOBUoe91KAHzh5Ujo8/0/+PSb//HnP/v9pzedL6+c93c/8Pyizz+en/5w3t4HR3wAjfJkEZeOT6OGsnHVRuw5eStV0aWJnXyKwiWjCrN1E2WfpPzGM5Ql2WD7ST045es6zwP2GOU5V11YbWhqLuryHK1CrQ9l69hHj9cpY45HkhujFSf44KJngq+AEEZgCQNvR6q1H/fWGpc9jc1E2U006vNMq3ZV5zf1rm4B0m26OkW/0akXAMWxSjjT0G4vq3Rg3HR7PVauR9/0Zel+gBLjtcB9PMhASHsvBJM7P03xNu/J1Fu23F6D8cKWyKy/ZPviVB+yh5uXTtJn/OqgEV1p1s/kEe3auVJZwzka7mtmR8yEYrvGw3gTlVclDqthtZfQ3vMyCzNuPzkYzqRM1Z2J4YWIvdKo5HZwe3CDmkVLEmczbpdAxvwBUaoIiEFwuHWeky0fJyB7NnitkPVTkVIqRSIfYhETMXcGN+hm5EFj7sveFUbVWhQ0s0R+MdIJVTdAJo2ehY+NHxnLkmyGsoedaKHLxpW4wq6arNQk0Em0zsspDyfmsZS431gPUB1KyfHsrGz3BjiEKkou1IQ6aUZpXIfuwEZth8LM8uE8CFltN3GldlauSAwSxTdhKXDj+kkUa5SnlACtG6pC6pDDjxuXcTIg2l6BFDTl9jopzOyFFTv2mlb2fSQiztYC5ZV5E/cN5vhQciVFhkLAdxpd3qXOHFou+WAb6HMS9M3WZUGrgk8YmMCw3L12kHGYROiaxLVMye5rC4SLx47T5eRAGM+yJRPELdeLjEQxa53c6Dgad0dStCV3R19Z7i7PUcTcebs5RnojO4/EIiB7wDRmsuiUAh/HC7JGaAfFsJfoDquabCOBAi6B2IVqhS0BrmkPXSxMUPbqfQEcNyW7b95CSZKPaRsokW0Dk+wRJ870dIhH5D/OuOIhU8OUjw6lABjUmC2gcyDKvpZYDPcB4IbrLM4HjsLImbfHwuOtnt4HSVlv5u5NgCWIFKcnkLzlxA0uzhsdkIm6U8wMqWq1pbCquQte1AZBNiY2Dha4+WZyyAYaxbI2X0xLXFmJu0AYUilNlYgJFjNUKOkUuUEpdkgsRZL2O9C1YKDdCuTiOGaBoczuaPyXYMoA5BxTLHnDG5eavCR0UmPJMDaoOc/rWX778vz2Uzjrnk+v3/0G//B//OGn//jj5/9tenj1DF2+VLJY5OUgj7W4AgBJXQazwVRAzaUg0qttex3mybLymA09ul48ZJWLneyJzYGtEIpsVqIQDCulzQxVzTqbOrkN1khC9BVxHcUg4a3myC10Ud7gqVwX04PxjFSXfCyO2+NDtMudsKWAAtgmUte6KhhDUmabtf7nbEPAm3JSEo2r2gYv4iT3OV9NAYMOW2VZfS2fg/gkC5dXI3whTDs+0mLkJ0gemHW74FOSkts8X/4YVe64WpXlN//P+ubpQjOiXoBstCEmlu26458wwJX0y9U8F7hxwMAOLumiysGeMSpR4qvLIrAt98Y2LVXe7juGUAASEZewt4rAa+evJQt3oWEOEiMoxpDEFct7IN2c24Xb1rGrIci6VwYiB+EOl0GOJgRfMb4nGCKc/pao/Vwd9OUy/DIv3/yKf/avfvHLf/L9+3X++Pl5PfB8fZvPL68/vn358f3x5eB1FsoeIF5OyZOHWa5qSakTSEwsfAXVCR4m4ArpF72KCBCltmbqwsYZGQSfMy3iNfoxXC8luF7A29xJKPWh3JARrY9m8Djiw+dVEJ5Px0yDeeb+91yy26swyFs94YCjLLCaNK6KbyzAd6V6bJg7JtqgVbRwOSvHjGo47Q8eV63uLRq4BhAZ8brEb/ImCyTnHpR9f7fe6IqPRBzmdimp6bO5AYko39l5iTrtzQTAseUmfMprBAgUK7JvFUgza2u0ritGIOwJav6sjDYsc7hVrB+bTp6DVeJt9Eu8dhjfhEF2tg0Gy5LRk2yGtMeUa3Ivf3ABC76y7nNsRe1ZiHqnPHwU4o52EwgE79txrlUqJ6A8I25oTLhJD6qIYkV8VguDeqlciVWJurbSrYkVYLmuihbqU0fRmnddH4gbl1cKebjSip2J7kg0EWXq6VowrCMi8EIUFE6Wn2RBCNmhXRwKoqOyzVCOSqcA6yWRwMm2jW5hhFUEhA5ykKoIVWyjaiLD2kCQzGUJwAni6FU4YKQqosuSiBdwErhO4wJvDmrGV0X9dtL8vX8YjIiJZHN1Xh8AFD9ekWRKwHlHMn5XkdJE8sRbt0zOTbr69sMvHYbtUWpXSmCzcwCENbVFXb20bM7WTfvoFdhwuWfdJnqbq41ZjffOuNy0qXwtCp6g3Xx24Pegkkom7JWSzaMir8FoitXpSwOaOLWCj8VPo1xD2SfqrJQnp7402zzWIJQvOgnB8WbE5CcncSW6E9NVFa+Fk06Y1ynD7eIR5vIL40Aa9kwQ660oQfwQ2q+gYhffBBHddpO85mkeCEznXZWzM5iJfQhExg+fuuyuRMqkCXQBRxRnO2Myg6SOlLxDXtYzLEu6VOMgm8szSUqoqcZMvM7SiAkQNoFrtSt5vyTz2pM680IycXYquZG/O4FzZ6aIP0L1liErFil5WLysgB2sWlMkF/YPKFpAnkXCe0oU6Vs6kSM60zug5XD4FS+sKtv5w1ZZwQi2cUuDokQ2nDiKMuZOIYvQYbCeA9D7AhyjvRk+Msqa9o65EHP6c529jlajetnAWf6xq3OLiYA+Yq266742oPFmgOkM0V9s17x8evvlpx9UfHt/9Hn+6T/8zdu/+af/77/5z+dvny+CSXyTy8cCvIWJ+xYD1pUUDtHxBQGdnidU+WBQIV03uW2i8lQz0noUXjxhyi+7StaVYugiMQyZtfowXyKIa6/PVQPUwuGUTtEUJtukwXnG1YmZyInjCbGcUl5jMIUTBbN1cqJi2dq8lSHOgI1goSM9L8rFFbIlaiF3bjANAbGmZWILCBIgB1dRR7WBmlUeW8rFyihwvNWCKFxhl1fuoHyoMFGTwzK3sYV9EjVi7RRx35tdHYKzkihXwYaA0vVScjN1P6g7B5tRQbg6Q/GeFGQAAyQXIxqFiMuYSQe7BGTr8G6CBRQaHjFlv0Gfw/6QvYcZkVsAhUrzYy//x2CDiTGvW9lzT3j5cOJB0mYp1NdEN+7lksNeg5yDCj8hsZiy4UWz8kWFvsO6MjS+CNcLXa53+vr5+faff//zv/r582d+nnk51/uXenv72fnp8ePfzetPfrzCU9C4M41yYS1+vS19e7/jemhw4CaTGeutiQdBX4WcsAEquka4IgtGcO+S/Xx/H10v6m9wXaHnXprAJfK6RuILI1l4cT2hkcenjt/OUwePZ/k8oY3Nccp9qHseWB/sytTOh12aRg5HWdyvWQcbtVO5kcS9uEAAo33YsXCONXbl2qp8zzm8HIVKpYxlvbwAvOEnybvdQX5uBBt2aVUAmeGyZghg5Y/wANc2je0DmRmnUKEVqmLKaF0oRTeb0VMx6BCQey/ZMSoBpVx7f0dYs39rlpk4tV1gylHu0c00djcR+nJwDGJlvLt9eyBR1dAkYXkUSwVs8nLMQ6yRuu4CP53gGQGvbjigGxINpC5+9xDArVI7iQ3KPlFZwPNOR55rXx7EGEyszSlui6ANhXOmspLHdHWqrsy+9ZK4VRrmMFnqK8bN87ZukLVtuUJudrI7kOkRUIsMXzf5iG5BGKqEE/kxC8e6pUSAsTLMyuVEGsWZslyNkxubzdJQ0iQtOIV0qI9nMw4dqIPlJT8TR+zCPq8hZlJsYYZTjb4ha9dVzwGpioF0sj9iLlzFXFgfjCnYs3quuuDnHXFbwGAudpqF4lwI8cYbO70jkPdKG4cogwiP261YXxDSu3JX5zRvw2z4uaqLxR0urgeINnig3tKI3fZvccTCvU59W98TU+bHfBbhUZR1e6o6w/Z4FxbDtdU3yfmvygZRQGcgyEKw8zHQ02rB7g80J3MXq2FdhZnWNZhCHbkgVHxKiSmN6TPAwCZrs+5w03QnspnJNFh4tvtOdMtoHUgMvyuGN3ChCE7uT172M09yLq0J3L8iu8yaxqxeeIl6wUQlOSZP/NgcKGxJaVd5ehBIoima60N3eomeTmmYTezDKUX+ZmYzdFk2UizbnjrZDybdERmVj3eIAYy4WcQO0B1pG0nG+WmYVV+Z3FRQVgYG+SMEkPS1IrGF8JK/zclDHbBTTr9jYLFb5LqL7ZJugQ8Uojilzqic8EBWsZUFIqo1xyGQfTDe4oWHCm1G21JuCHWFo4dW+ZCTmvmfRySE4+WjIoyJQifRagA+ejIyVNcFjaBWPre7OCUSiVy3a/IHGzNcdj8WWY3hFmziWyWoEQA2f7rOKkd0lXT67f3l5V3fwxi8V7/+6vHb//XlN1/q//d/fe8vP3z6xMfLH1gvN7TcnhXuUABetu08SCnRUtIy8su0zAeJJByVoJfpXIQE+mqX+1zTAtindXluATos4iq62ElpDem44lvRRsPxfzVaAfO82MFlHNi+OECelqPoQkVdIk7Colu57DJXGJT4zh0FEv2KlS8bsze42TksSLiTC4evnnXXVbjprIrikfdp2gG28VIZTEn46gSgqbZQJNEGDmNwMStgDJwsNHRCEq1qANh2opW2deyrlXkcxlatLNK/3RgsUF3t6DejNVgzRwWmy2CHXM3YlXW141eEw4HcnP0Kt1Y/Q1ftqs2bo8oYby28vwCnGDcNl7aLjJd3PXz+YJqSkky8CFWog1T+BBiNRGsP7R1bc5LGkFO5R7srOFdiplU1vlV4aXa8DTdRaRANZRtlIgEH/B4//933v/lnv71++OZ53t9fj98+Pd+ejy+Pzz+e9z+8n7cn5jI8RI/N0jnxt9X2fpLy4YSYFiLsVz7kQm+tiVFlNGoCWedDc51Sr/ym6HPruO1rDvx28BS+6eubS/S5Dl/qOqhuPceGjww+j3Q0Dzy+zPvb6N2PN1UNFDg0WJfKtM7EqZ5mnlUFmaoBmrxChM1iLzVGuEPSlohKGKAQx+B6vqLBcXTTrE474HJo+0nkI9vEDSCXlTpt6ZnBg07AYPRuWvVEboy67m6vVc8HEkVyUL3gTfB9owyLQ7GJ0axmborLTHfMvMHtptIjwX2CoQnzFSVzGVMsciRWmuGZbNzY1rzJXyJMvyx0kGJp5eRPcxMYk0XQCmY+CWz4EnchTsjvXb6To8mP5WhfEcdztybAbN3ryV0aJU9ZSD8dseOYzrxMuZBEGoqn8y7PIruyyzWZszxChAfjUIkk+iIuvLwQjtYmHGvApQxHecMj+S4cLhy9FABPRi8SLVhgh6kLtw6jkpTOPWmGgYEyZNjRHOzMYQ6WFQ4vn6C9KLSjMsmwPCulKFeuQiOhvcrUu7XYga5rPf1FWkltzyWick0joRKRyeuYvTp45d+HYmcvT17ZQC9kiMFt7OjyLOIJVEaUHvmqQmWPHlQpeVM72YTL4SLlWtzOSzGz7MkEliATZ4bq2eIor/8ypOjcSrl8TIjcIxk9tyYLhIODBsKOWb42CBj5z1wbRtRNpsrQoBpaV4uIDQgfAHurhp1wWFImYKxlXUGrtw3CBR6FSEEHj4h6YyRgPHms2IBrhCiUMmholkazlOBOzURnxdp4GYrMrZRiJ9lUMsFcTqBw/GdXIkGyiciIOxqHWL6G98bkfYwIoWLMR5DdQDIV/mW5FW5kRHVW/QzDN5JdTO2BWOV0XGxGmcNN2suCFjX3GJsxx1t0aAN5A2vqUMF6QkSpqjspjYswrFOFJuqsqD9s7yZ6pSjOmarEVExEp8Ms3nWcv4zV8IQNMWkVelWC4b8iHUrTc1Se6ydMTiUzyUV/X7iTaqMr2GodEImyyrwTvxIGN9ada9DE5B9XuRo2PePiFqbe6muwYs4U0dZe4vt8F4xc2CeaftFXUKwd7eeyD+BFWqkVImSgy16W4I/da0azCg1KC9yGBwmbokYDOCQwRY0Ie6bw1OP1+fbC69P1rb95vOv1j2/f//rlr/6Hf/j+n//z6//rC9XJVNsbqASmjrFNyBNVOA1jiq18cHnttH98CG54cOVqVvA7TprBz1zuKmnwbdVHESM4GU/7wBiqCaG5BKrLNXv0eBh2C3PYEfiG2dUo2caDVRBMxKe27aPQf9sSPmv4MKeCLUdE1ABAifnQJxuKU8dThFu7m2+ubzA/KIAyAjAFoW3nHLkvWwYQKVDjj+tHsV+tWfC6izZCvSaXI6r4LLL7iOVPzgsDR0w/Ac6UnOPw83D+cLJY3iJ5Nlse7pXCnLj5Vy1EGdC1xOkVFFVfu3AvI2XFK4vb9RPhRzgS5tVYQyB83xuZcMSPzo09LTKJh1JwgI6QqKyhPnaA2mEPATJyWIWGWNmZieRbAIhK3dl1Ep8SSVM2kHEaG2w3V/0d+fqFmoExeiniO3/3Z9/+5p//6tt/8PLl5f35Za7p86731/npb14//3je3o4e9Gicyumbp0asd8KpepGJFqft2QbJgRCFJ+/UrWqbOu5iCSyZhq5ct8Fmbv/bUprl8bPPHM3R8AX4dL34+NkCnrVaHln08fPg8fp8e5vH29ErMPG6Ze0xasLpb/qgxSlZ0niAATRF1BAtLDbOu9ZskLK5leJkBgXiUEkCByw7W5fvIcBXoFwsCNMqtTzFWpAavMGh2mkgfL02FpDajFJU9B35Z2mg0pzJpKuwb2PwygJA7OuMi3MEdHrr8iyxF2jhgmPbb8VbW7cAMXe3D0wXu3f4+0S10XBk6MXIhwCXNSvKV7kDewWax0ZO6Nbkw5kkaEU3USi319m+OFrFlY3758toLzgGmYkacPbkuCl9fhVY4YYLXVVcaCvNlDfkQWA2Zyql42BEFJOJCUCdHbeL1S538oRZUV/H3gb4SV4ei2oH6UyORlySoWKC4UU27yJwrcwgu5AyMcakj60apJzvyoIwxMWXwaFCKXI2rSmAawi5mnHni0kYWMAM1BwD4oGovWMnCpUJV1WaQoPxopWDaDKGzQJSBUolRvuJuoKPz4ntZehPe9P3ITr25YNkwQpAE7ozRjvHW0CB3LY5XJNl6hCfkSxPEKA7Tah22VyUWHChCgMCs0MtfZPmRGajzP6ZyDI7di3UZANwZsBpMYOQwGWegfEUam5jBFpeB74jj+qEw5QoDVDl0b5DWuColnqONrIyKGVggoxo5wqjmAbtYWgZ6kmVqnI8saPXzWhWmsWZMhrHjIAifJRvUUFigcUF0wSWhwZ74gEFnqDKQn81KO117oX6s67ExO8eq67buJjdahm2vdjiVRB2T8wPULuuZ7edwB8ToPz+zj4ImGinVuvF9fRk5AwijkHELSHXPsB3R8DnJEB5j3M60I/LGoUjIrZcPeXM+fkDhkdMwEr8V8ThgSU2jdcwX24pRR6mW1K9cqnVSqJgxWZB8t4jssBHUo0TBKnM4pmcXAwECthRmGiFp3sTOGH5vicD7GQwsVJx76jMtlzYnkBSLkJnlNfdnjJKsDyK7v3AlYMm92iZu8Uh+ieCvTpTnZVFhI/KAyN+eLm0Fydn66UulCOJVJFTVd607CCpyf7F1Z4DAdFbzwDym591dXW//Mp86vU8+eXHn/3u1//k//Qn/58f/+OX//T2nb571lNzu+dkbn7TEBjjSl80ijK9MhBgCm1IqVOTiEp6RQDAj1GYquLwgHXpVa6EvdW1KPyz6or0ZgrF0VzY2yQQVAIcA6yTkyt9dMvuronnPKcXSoQ1CK228LLvYhQLlQibSGp2AWWpXAUM0N1OITkir2KtebB2W7t6y8D6Y2rmeiNhXWGWjQgcBBdPSDzHRzwbFlJRFROXlPeXxZWpL3SO9GFstFSDa5Db7TZre7mQRI0I9+kuH7502a5q1iqMwI797CZ5gVUowWDHNcYghWtHD9jJfd3u06qKcRjJa58xQzlm1lPFwpkDAlEHhjBYCiWaP93XShape3OhySU/tNKUHHJ5abwKvYU1a8+/tfrnOs6Jk2EB93y6v1UO8pcX3zrImoBw5RfXFJ+c6+f127/6/pvff3p883req3WdL/jyh7ef/vrLl795vP5kvfocBELCyTbPhPKC/RSqUr+z+yKkm2dhJHz8SDAL1ADbg4tG0ycEfsjdqChQkewB0jBed/joiaOUIA2ujrL7xE+Awzl+fZ33L4/zxWdUTzwH23Rj63IfVmegX33jBOV6IhFGRpODW+vrdHwhQ9li1RAVlTB9wjbHDblFz3sipz+nrraBqiblJDaCbcz99axdlvs8ouDeMrFiLCGI5qp30wWk+yHJHpIhIyPNTrzZDQOOVuUBZVCTvOtOhWxFsLBC3I65fZwr4J6Kgn0whwJBFsP5Z5xVeAZYPlzuIJioOSvbcWZjL7OX5PsgFmPXxJNOtTjojoKnvNuVgfD9m5QVrBB2ZWrcBpIVuOViiVc4WowdCNEs6eSMa+Ym45I30YilvOGGC1d+gWirGRsTCxn362Jf1Wi37fHOqqvZv6iPIKewrQK18GpQDwEk5yVyrMnLy4ZDaC7HCeXibtjBOwdLxkZ3OwYvQ13UgCh3mCS6ClJ3Fv/iJU2q1QfOWeCzcLqE+CgBL4kCROIJDau0JGeUJV6yNnsUMiRaM7egkXEHGWrS7InUT55yz+UasKJaVaHu9Ng1yMGRJtFiNWWzUNyIBzl1YMmUJOn2ItOZt5Opd6sTM/CZEdnrxolMzSABSLkcYqysWjQ+aRXpXc9CpeB2m5ru8q2QINYYZcBs2tdeCSHlFHyUddbWkD2MwgAX8gnfK8ds+lPHSbV5nV9t8+0S0EM1dMxuL2gsgA0PS4P1rBleyYacbekyTlvP5ZxJMwg/qqKKjGfGkGI/c1Hj5u4MQsaCopL8dQdTTQg/GgUN7EGFEllnt0GjlqmKHXxNqQWYtxM+2N9KhqpiPs6IQS+tmg8iOFjUyO6IXVPbWSpDC7tkdNl4AHuWeNYsrrtIp4JPr31i0d+FUoFiaisXSwuM7EIMf75XPBoxxB6jRLLLk3aJncvNEMXr8l+qISfrbHKmXMYBrvWHBNNd83UoVSLQPUsRAAGM1OLeokNQt4nS+FbQrFEwUWvQGqRgIC6QnPMMslkR6iJgEVFnuzMDVHKln15xzBrD8uRpL53llGNTE3m5FHDuxql4pVOV4WgrLIR776kQTLrj716SpzZncofvo6+nH29zvczbl7fv+DLEKT2/ef3FP/v0F//L7/7Dj//p048v59tnX6WTzCGgUkBBkGUluW9lzL4pl01YdVnajJwwBlcKlK2sw1VwnUVGCmZrD1dSWadrFC1lMC0/T0a6dQoBZaZDkIsxZMILHYcMWVv8HGivOD5A7c8oCt3J67GGENj7VESn4HKTYkfs2iA6ofnsyAFRxLXR5qq67In7yLtSJ52Qt2QftxAkLnQGI2/TaIPhjqQ2zSvY4ULmixZGkdq5d5A0D8JHvLoyZ3wdecMMqtOvVEZdBauqgx5pY32WYOLwo1UhJ28gUttreCIcLLr63qQKFalSRSunO/ECkSpxBtzM7zzmwAYuBDmmxtUMKz3QdYMB6ABMtoOk5r4r3cbETIrE3uEDlRva2T74zgdAFUAl/18GUa+Na3FfgGhj6IonWtggCfigquob//wff/fDP/rm/OJJQE+cz8/Xnx6f/+799cczf/Dz9TkPK3eWnyCB6xxdl8HWvuMcTLkB6wzYNVbH/0204+fgFYZzdyHkyUSg9QbmdkFzXFtGy7V7oLiny+BI/lSP83i5DUR2jfV49/kyjzdorPEJ9nkEDtl+gleseM3AfioaM1I43yKgRTBWb5x1skKhTcCMSop53A0bxbK0MuxVhOaSqGwSLNhzMcXWVHzQwB0mkOEEtf5xrxzMiVXJAYLmrTiK8fweRUK42q599nLlAqVwH4uE3winKn++JneViteObB9zJbMCw7Wy+dD6blyD8X2xOjduBiBMlnJRUGSVFj485/mXR61GfXUCFWqkbnjXElMT0zR610Zkh87tLQJLPieybDZdSKMMH1nBB9qw0cUMP/IB2KtnrFUcf4jfF4nbeQFClQ6bI3hSq7UwogusJhtoX9KEWuAFndwn3i1n96P0SGeVaK0c996KspD6Fn9/nEuQhk2QSSPdTBsLqDV0wQVIG56WHPU6VHVhD5UzsatY04ukoMbLGNLrU8m6hTOLN1VScjInxOdkYDtFfase9ncgTnRuJ9fBxu67mk8FhEYjl4rtOjGUKNat2N/3AbTdUQsTmCSzvFQJmAVrw3HdHR4LfnG0Fp7VCiw8l3LyMmMCv+kjAGD1yjn58Z5uEFb0LsFogoejtBdh0Fwv65fHM11ABmv/nLg4s5uXa5BjfdhJLMrHLpIDXfJm+bNXJmePprOc1lTBJw8vEtUBnGCqu7yHbyxIE34jPzbcOWALsjecaMya9UHBV0YLOAErY7OzMcBVeoJMXB4u1qneqBoGaMwdvhtV3U/JLb3pDdPNHH7XHqQ5ulZLe2ti/bGK7zei2Ofg3OCxSfrcnrmVHTc8zIqz+GTeoiwFpVxMjKjURBLTNz6xQk1QuYTspGKv/n8htbVeLa96Czyjsr4dDqiMhyvrDYLSBdfovpGNdU8Hv6imZS2mGPVHnrT4pgrZOWfDWrAaGywVVzGHcVmzhTixT2eEFMG6ssmGYtkTIxgYxuZ6Q4BIhkl35IP5JiZPQr4fWVPZGSSwb0AQKEucZDRGRhmyB/dl72XTljdEtKxrstkTOEDVPpdE3NEwqgWXG/nW+1CXfdCoR2SEscFeeLw/X+gv/ESw+K3er9fX129++PZ3//qH5//3L/7L/+2/4oTRzqRIHqwAf+LBPsGoWNszFIRDplltRqyzrHg2onzuQgIeomzLM+zDlWW7rhcAHInrdAFUgRiDvwTNkVbTk7MvGnFWWM19S/JJTiaHEo2GOa2EGpG6TfVVGTEzZpJwteTEmse/JbTsKl+ujZEBwTGGbKNGw16gISNnFHZ7dN6Ch1vQzl6Fj2fbHAAmK0W0WYG7a+dT7v8xa3vEkEUfIK6q0H9YMd3SoCh0wjCWURrnWI5UCBnxNyiCtWrC3P6ZiDLkUbsUoMiq8saa5jfCx/927iX5I+gEa4EDSFd1suAyBcq2JmfQwu6pDq7aE9IrqYjEbBVdeVmwuuOIAGjW0i6VQkHjllYGs0HAFu/VGr4lJZsftWI3311AocgmwGJ199U/+/NPv/knv/j0u5/1t63h44vf/vh8/cN5+/G8/fh4+3He36IxBYZ265msN2lKGrDB0ohDO3PNlfccg2Z2gmyHMbwaQMLAG9il956lmMk3D46vLf7Y+AYrsq+hbZ0nT2nmeTxHz5nn6+Px+fHl9TkTZnAsnWgwjjyWOAcWKd/50yLuzBsHWGLCjSnbR8qzOtnsov+KggtuJ4HIXetkCky5hFwUB7nfGqyrVuyTQWNB6SSs5DWO3HPRytwEDjmaozTJeqJzUeT8AQF01UbK18KIXCNtOIHlJhp2OIFF8S9UsaH7wdK+MjnQ8y/Pk7piIGVPUbyJt1hNMWsxcrBC56UiWMvIaQn4+viJYmfDouDBQu3Iohuoyhst0Fqg7F6rAO7WVKxuFvPVsMMzMi6m697P7z/zvsQobF0Atg8wXxXhGx2Uou7EQdlyEdeq7mgUK8AoSaxL2nfSimpLxoGiL91YRBw7O7cYqS4EiIksLfBJDijZabBPGjgK8FHtfCOEA8pPLedjm7mfl/3URhGaq2yzrwGZyslIgbjD/UrJAGWHQtt0Re3G5ItCGJSTe72TUJWbTPX1/gyWuGpvzuDYgLAj0uQz3SB+2jM6SHRWvk8QhNhJmfCdN03UEs2Ns/MNpZkQ90FCxgrKvxY4BS1Hf1ySc5bpyIQ11G3eKao7+SRRCRmOfnw8mYLFiN3DR4Nwm6lhdNkr0btXKefBm2wsqKk1CZyKpBCgfGw4TTfTSpOBGYCEDoq8kyg0NMdpBbUV5GEUE829THuxbs/AYcqXssoVE4wuArmaiSpz28hWK5rdNbpxAlMuCdZBs57AHTS1ndhAE1dOOlrsZdyZOxthVulSMhS23ST6p0jNlT0zv4IMoap3LiJxr2sLPSa4F7s6CJjZDwOFdAhUKXV5y70XClDNAmjwVv+a48CuNWUU54Jg7WZJMB0edrWy70QAhuV1bmDC0Vs4Lrzdn5Gnh45pZXHMJRQBV/TPJERqgKzVZO+Bm8Mgjl1ESRsUjmziUh7yrC+IuyZIFPenyUueISV559FZBU7OuRonfUVOuJzuvaDkzsU+Rxb3Qa/CtdDBk/dsn4UiXuTwrwFuclZwVT0VDqPGCQ0zx6uNroUZyvTdOofbBu37MYg81NfE/ZWf/UPbDfO8+f0xb6/z+vp8//I4Dz3e/Xh/9g/+y3/7J9/8y8vvGg972WywlPzeykKenIsQ6s4On2HyWuLEaMMAO7tVgJtNrXAtdZVY1fBSLgFPj4497QGewNN1xEFN4RSf0NN+Hwz0MJ/UYzCAkI4T22JKa9DyUt2uBHgVyxHPr/QDGVwavKqq0NUVgDOpicExGq6mquR9Ugxw2iC9mH72zJXVslxx2LjyKBpxmFYhEN7XF7f2XLnhR8ONsCQEi02wcBea5gioQuf40JzlmZXnn0Fkd6uUgVRC4oNlKvYUtFUMmRYjT0YAhVz5NPHxT+4KhoBqISvAe2vKdr1UGqp4ewACLK0kJKuIs+OCF1Yhxf2wAABKz5RWK5ehBnk/kt+DrH03S4GATNxRMaaj8ioQNqAwghTJtWP+NkRXMv5lQ9W3madbNBPkelql/oV+/o9/+d3vvn273s94ftTrH97f/nCen18fnx/PHx/P9/FzND7SzGiq4BlithlRz8DYtJjeW561F8ID1YNHSCx0kJwiyugcv1U7NEviZEwQMfCsJCAOGmV4NgbQUz4aCXoeP+XH0Xk/j6PHUxA8gwOr4LheZfTIgWZ3/9LKB72OwNDlO6gGCWT14onKs0ZXQtxhmJg8sdkns6Z9Xc+MrhaQxUDMJogm7BqchT6Eld9UPoZy0Z2rLXROFN21ulQm/g9pV8FGXCByP4CicavyaAYBLwTposFNz8r1GVzovhaI+L/CNM1atRZzYCNDv7jhrZnIo7tH4gqaZDHypaVMbTiNI0UmztirI2HE8LCTm50VuIwdDAAkDi+UxqJCeXvDLkPEZGMw1zqodduxzOQaXHT1ynOvZWo+XrDIIwp17fBloPO7Ve3k9iGuslKFFul2kVmw7Zn0/U28IcFaLsmYZJva5QnMKa4QtsKe5FeyUJ5Y3pyNCWNwdD52T4k6ijcTOyKYZvy8NDDkAFOBICKENvOnJxh99+2OED07zF6AjMghLPSiO1Zc0rs2jI/BCSJu7MCpxIwE8c1+DkGqUnFKit/r4r44GGOeZbUAb/W3d1FDEVXVHRIi11ihYeLkNcuEwMTaZb/kClRAUwub38RRIsgEXkHrY5tZd2H0zVkLPEWxipsoj40SDeGdG9WIYesovq2kRsGe2zUPRfCeFPCMtAImJzTSipwSWo0syUWhYck6OmPBZy3Z9CyQFNFKPJRjnb0y4JO+dGMU/czC+bSTvXAHX1YCGLmv5wUjyC/o3WOCzCNbr5M8YlcA/HKy+vatzzNAq2dThetlVg6/2Nqs9peYnFiKvSAszcDLad7jNnF1+FYoqKWNDR8M3yC3c4PfDlwTrpQXoeHI60g4bb7ZLQd0Dzjsoc/ApPLclsVZlCIKw1GozMXqpvOoLriQTwcLM1qbxwRnvY0idwofCWvRltq1AbJh8YF9bk3ccZ5G0JTAdzcnqf6I8Y4jzIkomv0BGSdYrhMgfpGgTW2UCS0VHBq+7rsKAMThmjX7HgAzgOzCBfrISwU72XW5NhgfQnZFpKug7IowF721epnUVvLvxSs7j+neLZnoSHrrLY2lq6X9LbI/Z6/MPRs9pzGqk59b8PEM39/weMfn1/P2pi9f3vl+8Sef9+e3/+j6y//Lr3/769/o6cSmNekkcK20hp1fLXFqua2T+l8AVt2dhmJIWKyuEqy5mqdhYm2uXJ3jfeUHZ2TJR7YhPuU5xqgi3BThZrpa4oTe89J0lSoVHpytDCLYseQ59nBe2VTs1N3GgYVi0nJBubOVv+SsrUgDOj2kwrrXaoFY5vjAXY27i23gufxomSoad8gGolLLdJ1bs27Td4bE/E3ti9xPLSR0SJly5pWFIT/IVWIdDnnaFHdkUshy1Mm2LMrxjgOe4PdC0eloBhgysphPFhmaGDb83jAThHUbiHfEX1OAOuxzIIL6+LkWNl3cdtd82nTl9Q2zh7ptK0wyI1EkeBG57RbQunGaFB/u6+j9gRbrudHOHZhKjq78FuqyTVZ75YzACFBZuvhS4Lc/r+//6mff/dOfP37Zw+fjXa9v9pd5//L4/Ifz9rfvj8/PeT83sZ6EIp0IJA+4pqzJh6acp6lWHCV4z3b5haukZ/gAEp2qJfDcSCQDWsHdzRX12aH5reLlItWCBE50IOP9Iozzjjm2PBbtlGhjGRIaCsDmY1szVmUfprJieGkmL/AGVZ+TnCTvLpljPFfAxrlTXF03NMi5RpDVjQHK6Pj6ujIBg8WaRlSyzLNwYzKi3cJefkyhct2oD2MFulmtAGsh+5jRCzAhsebeUpXFWeZZ1CoAW3Dhve8yGuc9rTtdSEVXczV/GyqB+2hs0V59Ua7vHWPiQDKU9pZdFQxkLEexSQ3sihwtVUw5ZBPAGBNbrv6g3bF9BZjBlJQzcqnywscrV57cz1njvHtN9gmyy+qEHICZmHOPU5ATS4I9rIIiL4gIxDBS9dEYAlyV1kMLFdTFrtHQxtDgMKWJAkweBFdAgahaR7ijkRvfA2liSkCzXLAal3Mp5nPMHiVCwBjGli9blV4yeUZrtThlGxMvBe/5K1lDz8vocK7cmzXIn9PoGcxBSYsGpXyGlHbFwS7PFFQsx42bibhziEkcCROwepRtYo99q1cIthTPGtZsSFCoxaUGGRN074YcKQ4AVKLrE9Iwjk0xs9wWXVHTIBvgBC+BnR3VTqwad9Ip8qxjHKuPsk2PMdIEcs527/IovSx5lvI42qG591RYEwITdhFxu+2EDkAXeMmdjA8r6BA3WJ2RwYJssxzxcZD+JG8UHQqAjggHfckey/F7yJaPBke1Q+g6FBDShSQrZDUsjT2lnReD+MYO8yKUikqMIAPm3wA7hEGaJ4xpAQe3fsi1Q/EolF8iSGyoFhDaFZZEFtE4FRAhwzOBlnlqE3SdGdXO6xl6e/lbcEZgTVK/N+uPbWtawxlbemgIzHnOYmeSpmQc1Fhnr+AMLWSxrnswbziyB6Xxg0o7Xk6zDrDZidVSTjZwdn7JIZanYb+JMF+7xSS4rLnLuHH7HmmjMnyG1XceA1bSF4R7EwRLmkWtszvQN1rjDnKyf+eOGeQwFDh3uc6kje3x5hYzYRdgbsycbZlVdYO3OyQprAoMn9D4TaYcOI+ubgoiT21ZhFjad4hZ3spQaSIIwoAqIAJNfLC6ITtE+iptLVweDunx+ni8Pj+/vr9+fj4/z9tPPq94xR9//t9980/+z//4+qX1ePZ8ioevZmCzMshfQBG3wZ2OPDlRU6k0YQWF7a3xLXLZXeICSum2kLfVZ7Eh8QJroh7jjDtibof4V+GjbOzvs2j58gG4UFdGiEg94ALvKnp8INoLlLGQOg87erj4KjoTCIvN6+LVIbAjDokm4S7LQf7B3WkJwlMlFyLM8q0NyO4Z6khYoAPhtb1MAPcmqSsFAc4vBAaf/6iszZp6MzrUUb8wktfwjR6zE88eaRY7AsQKDxT8afIviv0Oztmeb3GDcL2zUSjbeO6Ch4JNDbmnTblJbC8fI35m3tyEX+6YsiDEEiHL26VZOAEyH6FaWH/8JsjSSNtzp7AwMvBcHiungnfb2MnO3m5lx02iNa/RdE382KxJbkASs0VcGAynBDyv769Pf9Hf/OV3/BWfj8cc9qve3t71xNvrfP7x8fZ6TgYAb3RGDq5C2NkA1blMmFeGNqbKK+M6Eiv/cZ+xLNknQ5tyF3GxaPLjkWEvIRP6JAbBDRQllHjZo9Ms90g4GM88c/5AMRPGFIPyJ/EwHX15Ri8Cml29PA8g4OwtLth9rzjWGmEOFhPN6xQiQWIl9w5e2W6eukAtI1UkNmmHLqZKVS3F+QOQjdu9l4W/UMIeu8t7fIBt+QpqdStEA2O70lfoJkbVkMI85WYvMdwsMlKK+Cr1Q6hFRAYKxnaZe4dnaU0w+rqV/boDg0LgcVWIyZWByOq6vDbGchrWM2q1vD1q3K0gvyfhye8L0lPMEYkA/4h+sT1anmTPtrhAASsa31wO2JmOH8EWiZ0JVJGUqh04AvLmtFuEwgvs3Vee86uuZe7epKm+NnP+ZNIY8yILGGrbjyzaM8RFj93518TO5oh9YYLzRFfNWREhCaJ9R03s6p96uAQzmERVrCpahQiQ8jTQ5UjzmLungF2kFotkFbHlV7q9W9AIVupTRieuqEygbWlwXdRZ3XA5Tr0I4u79P3x3yJrUW3Gmiqw2BuEHfelliJeya1b0dDyVrXNWgxaZzsVSoV0kvmkOerQVs5lh8mtCuAstm+TRvHQnW69gsB3mPM/vvkJ5rkAh/OitXH52skHR0MyVyKwmV/qZV4qkVxW/sKiBpPkKutixQZWzWqY4CbgTlPKXOek69rTwjMEFIUUzaAJUK4RazOr5Fsd8iY4NMqumZ2teCCaegWbu1KtvIyZRNwycWeHjWr+Myj8QTmrXH+ykaQ9UHX7aPOEVQkcoci+vJnqL5R2VVyjrVKHBYkjNgLncPEm6qHQw7tdhZoG3bsjE6Vy5IXHfK3pu1rgaxl1pnA2Kd0xeAaAOCk+Ig1nz1bgM4pl7q01bqqtjf/iqXdC9N2+bxm6vPHIm+04PgTt7C0DVdmXZyoViGxc3QCdeBAmV7UqD3g7eKzyfdP9N1CakbW4jgIJcXr/nqiEz9GnPNNVV3trxLZ3aAyKxdQucBNkxYF+Zc7JLRUFur9pgtD1RBRvdkLvsaTeoiRk5btc8vgg85kK5BZnJJFvI5XAt5qglGjYQxUH89sSL30GFjvBw51NyZFzo4LrB5euCB498/JjJ+ekHCm98XHqv59unbz6Z6vf65vpuvtX//PbLv/3Fj/+PN76zqlRP89rfDrKPUUWBCRsp16y7M6PjvsIgtBFMwEhNeo0RwYwQwiqyfB/FNYw7QSyoQMcIsACrFyG0t387i0WxhBXa76cVnxgrR0+G2dwpjXZSX0GEx6idt8grzgPQAhsy6NQholDuFWAqmoydhsO01j27BgaK3XHvbGCnf5ypLoAzw7oC1a0yM2tfuVbW94Kr2G1WXazu6qruIqu70HSwzqo1zXhXQJMzy3RyNx9lQdzSvlV6MpRW1DIe1Z4WBopO36QNd9A7cnmsBahyxOz/QWwdNzVGdOcisfcly95zz06IanyRYwQYz12dS3gh2AzFrAJ3acRJ2kzWAHReT+6JFKn5hyHBORn2KDeCm5YxRXwVa9SSp4OM8cOXl/qz7z795S8//f47fRLGzz/qy/vb+XLePr8/fnq8/fR+nkLCPO0ARh0VAkokElusRTTgwVRV9DpeVhEp0p1sMYE/5piPLJCFGU5qcW5CcxWYvhfnRCXs9bJXICa3e6iXGZwzPsTYM/QoPpszhZsWyu8wQ+wrHO7LiseyqiYpjJZ0ZMlBOhPbzagosLOiJeFM8kezkdWSqzJXEuA8ZdkngWIDL6y4OnpRF8dY7FvgFHsVqyIfCi3EKPtr89drBW2LHMB3gFHWyoiZsm0SN8N6Iz65Q5c2WiyTAV4yWy/QvGLUbBLxfCFjkYfDUllNbhaIOZtwmU1deeRJwYNCwkA9hc5oHjeLEEBleCOlOcjy7LLhOIyjZNsvIClGNBMkAnijlzL/Lj/GMKm9mAJ5ZUADB+wgscLK/8HVBt9iiZG5F6YsQLE4ZDNHQbCWwKzJ+p39NhdYacZxW68ismXTKXWkpHzvAC2I0c5tlsBim/mFFMDZBTacbs1o1/bNhOFawQSx8jRxMe49dvKbAKslyvlDgvtBbkIvKtqNADMF0vbk2Ggv3cM4Y4vO3LaJ8lGElG6SwRd1JrkETuQdI4xQUKQIVIjI8AuiPQTDmNKEatFNQ4c+mGMC0HB/acOTpKpE92mgOc3ShGNVplOWFlj2ZqDixqQ+eB5DbKXMmQA5uFhW11pN1y+6ZLYQwbZX0fSBdZWoqFqSdhvbdv7QsfKXZR5+UHKrCMsjZkjEoW8+SMoVTJizJMJM3lwUQCGWeWlyKggLjwdlBxGAyaspzzGQSycsfYAGbCSRBGwT39CAXRXbQhmrzrb21FkGkcvcMWOpA5FbeQwtGHJLHH8AjpldZVYxwYHRt2ZijcpigcAIiSDcscN5ZGGchfyysqA8ACrMhsaKPkriEzxmqOCjzTnLkTUGPfPEyW9gKD1Fa+C47dI5rGyCltqYhB6sVjVKdNLDwZ2hRqhLK3iMXt1RVW+j2GC9Q9gFbj/VYgVUQroolgK9abpcN3u4L4XlyFWpZFjVfR7ezHb+gOSPR9T14TTI6eWQBlkXNSgE8t59IsaoWoQfnd+P1B03tffMPf7mZclEuxeJATO3sCirVsO/AJfv3b4Szh0umLiC5UTfklusA8jDF+Jwp1MQa+uUZuaJt9fn+9t5f5tz+jz4098+H3+Ufvf8R//udz/7i5eEAyATxX3ZV7AysnoJnaXhufPXrbfRhxibRmPusaIUmhC3HYML4gXrzXCXctdEDux0G0Qq9dv5/5ZfyAvjnRBXkbiK/vzL6Ahb3B3VgFDqQmMzcUkXF6G6TYOE48REyAyXO0FzBInu6q4KGBfxxjpoF97cIG13Hp4ttqkYnMwYPKqaLLuJCvIkXGGj7FU2XAUTl1flKzIzbMIGss56uwwjAk1QiWmM1eTuXCmp36UevlMk4rMBL3D8McMtCRAvg9ecSGB3vf3WAAqbaXUHjLO4psQNIvE99nO52ezmi43t/p6XDtopArYat35JB6ljaRZfrLM6/Q10uPEI7M+xi6D1QbwhzDx7YGAKwVmFyv4yrKs7pzlBXr+ub3//3Te//6Y/9Tye88XzrvPQ481vf3f++DfvfidF9tPqCLWjN2kCdjPCwQWSN2JCg0fF4HftNgqW1+OTCLBgBElgORJ6IDqQG7exIlQbgqxUdDx2CG29FMfJ6cex2IihW0OPSxzdKSXJPq9LGGt9np4S56nrIreJBZ61UqUSw2sAWP2Icwvz5jn3x4FpHw9uod2mF7KJGa0eEmIiGKOLVPZ3n13wbpwmIVUluXfBDz+fCVkS84UWx+kQU5LakpxEuJG+obwehjaw2ezkq7hYd+A2cvsyxvlA5bXykWCExaj70LdOrvKPBpYr33+QT66Hatu1edHBuENYlaqC7pGmS+3t/0FWE9jH2ptKAKrDWtnu8qiWZtUashlmgfcAFPtNIOeUcwXpdQRSzHAZfLxrQ4+TzoQ9pivwSIiUhD5E6wUIssoFjrrvNbxo85TKhcCh2mO4xgdafRiw0Vw3NkCyxtHBXbvlMtoQVa/FwCt2RhO+6NnwzSHgVEol2yORB77jgTeacilDRucBZ8itWAewAQvBzdcBot3XYEyQ1g1cgxBqKN3iyk1Q4pSoKgSyQiIYsiEGwhOH9cIW1NzeNbWodpUwrGJYA+/eJH6sJUUcoiSZW6lT16FS+uugX5EHkKPT2gSjAKeGbo+HN04kMrkaFnWWs3Zt7mmzDqMu2mon2faGLgQw15jM3ZZZJ1eQ116b7HCSopKilTydEJbLRyGyQdxfWcQ0u4yA2HxIYLYBNuGNbiNvSPm29S9XZGAjsAZDJlW7zDvLagv4IkELelU5fjN6LKsXe9Aw0HAk+nOTz/RWnGd9HF6B/54CAPStSnHyQyPcdGwpYUwWMl0JeQYYQ2DXocr0jJe6in5hf0Bp48KCM3rB/w0tYo1VuFKwcBGxHyBNCSH7jUXDdzQPHLETVbb/tftmbC3kIK170hu4M2dGbxdc534Nsnh2XE/MwnMDptEDeQW8GziT+UNZXm8tjDZ9bkG+VdcpP9cQl25A3nboyJAqtM2sdCHQgjvJjW1/G7h3GMlsrpAe2RsqnEoUDDvmuyI13ZPBiCkJt+zo1gBmBzdYnMNKwmcYjviJt6ytAelEPQEUMAsiJ9YGRviIhTWrFtippWFZkM0jdO3ss6LU7Idjx7bmlJRBNuEp1Zyp93p1Xf1eL26+PI/e/PD359f/9Hd/8T/96X/4/L/pb1m4pqaSbaoqUIXeiIZlYPcIjtpnklOYc4X6yKid3cJybTM7wJJt2VyDme8/WF8rLPZtRfR3+LDUBstJWVs1DfDlI5R4MajUx6QmEEDySgkyvV6ggTwP+/X5PmWWxeOOuguMeLdRwVcQcq74g4vHArDvfzsqeTr3ChuSJEdT7OB2PNDJIG6iciMUUF3NRjGgfQioKnaB7UqoR4b4++krkIKZ45kCRj7WKC5VWzpnnkGunnMSp2E7UeGr41PwjsQuZYrPgRr4jTuDFrZKxMY42ESgNdznp2sX0t25g9skci4vrBYcdPgK7eCzWzwIJOBxLQFzBMWdCrC6M/yd+3awo/HjRtbxJtOIVdKt+XWXmNrHWEBJrHrpX75897vvP/3Fp+uX6DKf/XzTeZ/n53n9w/uPf/N53kZk4dx7UXW6HCYoYZHVu9U691+6Uc1AlYuUwoVhZkgY7UiYZHMe0kA6BjyjEY4szsgTv015MF6+b2mM2nU9tY00feCpM5ae1mhi2FVNslVtn5oVyFV0fgs7x3oMwNmGyRoxGV8uOoXwq226lOi6e7+L+TFgVzATVfIjJFTVnhAF0SfiLNUHmVpbbNnIo38TsjtsWUtwwgHT6Y1VvDpf5/0w8M66cC3hG9C0gOrA6lphYl5jZtTbgpf+yIML7ITgguFWcllPkFqQZGeXiwWBydfsCpuQNfmrMkN7ubBLodSj24FvyjNLHVquBKpwfQExgKT6ICItFpkszEAm962Ua3qHr8ba6llOSnFsTJF/ozbsDhDOR+ZMrpi5iQczDxm9BAmccUAga5S6WwLouz/Kg8T8laDnjLYPwlt8IXNVTyXbVjFyKUYwHyAvKnevrxEL1GdY75oNIjSuqzrfARYOUNKsObw1xsAtVAqnIwFSHEZac4PXb5zjThZ8nC9tI61BL8HvfPVZmPPEfM362ORW2HdoHSZSCK8KgiR99veEk/QXCXGwNcagEqsEhFFKN00AZ+ZQx+dxjoyRR0VhlHeLcI2vmSX1clHKa7yOuyf7ptE6XPVPRSBJssfumNkWngSbXcXZTMwCq9peY2UmVDAJSJo9lglhXQGRq+Y38fiQBxatUoa/XfwgNOrix8u+U2ByIuJ0Vu1wmSWTd+zg4gTkDmx3ZTaHHOL26zt/ZwHx2OSx2xtMq1HKYxZvb/TwW2YXc0IX2YIVQXD0AN1E5EXbdwl9jAn3l63FpleCEA8r7T2inI7tLCe1q5ZBuPPPNHwf3UuEJnVto8qhGplslAfLQi2duCRSoAP4AMc6gBrTAcCjwO9dHntXutm1SIwnkoJr+YJMz+Fdg5IXwF1LYYXms6N8xPqjqNscyS34youXVwxcOWa2dViH2DEdWtFJBpR87ZlX8vblUCh74u0mqvj3o7FyRHzwumSvUsCEZ5f3nK8AllSpMnJtZ0KPowli7SpAchguTcZVThLNCqOdDBlcy4BUqAIlxHAtLlpQm3Gd1WrPs4Zcuza7nJK7YefEzybNWu0gDN7ZkVL5JNp46THhPPB+9PnL+fLl+TxD8/Hm518/H/X25//mV3/+737TP686V8+1upyXRJYTvCpVZyzfOW8kMXCzFzZGCVRSTLoK7JuYuD+mXFj7CsZSs1JyoKI92cVIdjCABNbi5oM61H+ruJGB5bpIdirG2IVqkuoVDKHoqwSLV4T3icUJcoEiXypFJ1URG0QmC1QhqD+SzeMiK1xWFpRaMn9r5RUgaqOmctXs4poxJZh4nqRaog9XNqoUhfPrLwu2he0rtLIKsrtHA1dWEy0WBXFT0g6KUY0JMjFc5I8hROsJfUKh5vbqc8H0wof4KnDkXprIkrSnmDNn4UY9syw5OQE7ESHP9yLbAXySlL52CXAhflRzAfGFlzOsMJtuJWP3Djl0ts+F8h0QtgJHDdDR9mcfF9wL2jFjjC25YgZPSZjaXdTvv/vu95+++23jG5wnn6/nvJ7nq7/8+Pz8Xz/ri+z+FCE9KuBWlqENomfLgSw7NqBFx5FKygVR8zmrgXeh6MvIFTrMRaYhq0gPWc3judDQtWceh10wxJJ80U/7AgX60lItWcNIj/GMdMQEEkEv+XKpVtAB1BQ5JtQvBOgDELHWBe5omrq3fhV5gFYBo8WFUt8ZRDsY0Y3qxXMXag33t6BCdfkK9QaR1BRwipEEXghcnDkoyGtlT9XJhr2kTeROO6qHsnJlGwa1TX/b95HA8XxnOTNztO9vFXgAWhGGeb/CMdeKTR7shSdWIygsa0GmjZ9NHkqoNN3Gf3h7YOgStM4zFjTxcFVfmLxMe1NzfCsK1y5+Q5RAqdY4iLDJDDR5q0W5AxnNrtSHGnQ5qnmQwMSLnHMo3oGaVdA190EjlVKD2E3jVZs7KO5jd0o4TfD2uHDKF3mHLWe/uobZXwasgMfeMy44yhZckBc8H8lxJm6ZoblJWNxM6BWXBohGrhAbGiyojIKsUhIHKOIqWAO0cehQijW0/GS3gBLd0gbWbazS5KUkb05jd43JBRHZ+wIf1bFhWztDLMC4nHbwggLMJlfUPZlYfEWt4Ci4djmQh9VHbh2CY73gmug/KjBGMiBOAAGa5AQwFHZYTMm9RsmtSIpUPFumjbPTXsq0mPst4QTNy5bbK/BhDEhanZsTWtxIh0UUMQtGBqZifutxiGc7frID9rWwei4QpuGZhjzkhXQdNQSVkS+e6LSxMgtlAUmoJOBRanuUqk9lwIIL2zyDmyWLpbsILx27MDx2ie7d+VyCtOCE6fwxhZLKOL0woZbbjnuO6RVfN0PdrOUtBCESEOS0SuRWy5tpYgKcGZVUCCfzADvn+v6JV2GecA5qH+QlEFFWcdCJv+F+yLe+jDM3kmpnwN0BINizEffUipLSCqepqhVTAQvXpn4d7GphIy9gQBPmSN6Q3IhO95lIu5Czxazn2UAGfxjK1FSsKm10+g7w+bWj2ye9OkSmsPQez0kn7iN/CABeSwHGUOpiiPR8e7USExr2LIlf4S/wwUxjtxEKjplu3coZJD5sEnUzMzKzphnD2Vkqx503XTeMGitepLCkZlJh7xECLOlUKOe78aWupWJ2hk1lQ+T+RKPQkoypUoiIOGvs5sx8eVf9pE/fXn299Ivry8tPL3/8xS/9+//pL97+Tn/7//zMQ6bcrMMXBcgC2YHVIuQwt4tTBugLmWr2V7SZMrir6nYT3gi7I/aHUu1Htaxk8Eca0igUtMUjST8IWLTQ1qIuQfGkUEGY6pV5k6xGlDmRoFzXFvO2NeLVaQ8NE1bxPHkDTTL+bsseohTKwIiOTcO+k9zz7gTI3KeQk1pTVfWecsR2AO/yyWVvpKgsHKahAk4kZwK+sbp1f+bSvfbNZJh+yNEHcoVW8Ook5wTpFzCjGT3tOT7y++g5kjDyGPKWoIw2IEt7bAZ9zeGfAXqRuAmtkb8ekcCOKGHa8/gqTNy9ny6xhdvUmA9h8eV9S0Ek5CoPUnFTm/ZVhnGHBm4ZCUES5GUmsBxh6Bs9+eU3BanMi6abdiM70gu+/fW3n/5BffNnL998/9Kq5+O8vj2fX877j6+v//WzPvsyLh9Y3XjxvBS+ARvCndCfTDvWhSCOAoHxcpadOdJCMaGITu/V0xY88XCUxsYY45GNec6FSJmtZ6T8rDh6V+nEq5IvAz63rzyPwZw9S7RehUr5rXctvKfV3bMFEhO0JrfqIqdm4M6iC/uNclfCyf8ADSBblaQabBQsYgAH403PAtNefdzNFBAkxJdwZ0Tv3p8If7IKhZDhkbXh9qVXskcyVxXNjkLW+BB2WCxB6cxw4Qqyj5stXUNnIMCgZZu3/JFBVwoZ1/FDJJl0r7giKxlLqwoIvMgVxzq7IlcZt4DTJKAf+Zt6c90dXTssFfKPZyfZz7ud2QfEBa6K34DTpezM9yvOz7y5uoH8txEYrD1JqhxgvAXP+1o1UN1rYz+wtkFYCrQcYTUiikUaTXE/ZYz2w6QG4xEpzQnEy0FGpqq5Sq6g+/iADvIhXXl+NqsMLCT/G2vz3TcrAqtYayjUHJqxFkTjW+EUeDOv0Vy6XEmtcR3l+4oCwJ5YVQZTE1k81mIYP9imV9IAZkFG7YCbN8xmtE33/BFCnGSq1aIC/Qj318Lz/kg2AGhfEuBiJB76QHDcWajIUgWDhg3jZL2KlTSif2578eaTyDpDl8fNgmr5qfjf6Itdvm5cPNEi6sQyFvpCVVXlqN46bkkecXCXDNy/CzGD27oSQEybcpvnXoPcIWkGP4YS0oo9miJTQV1qx3iB0eaO7oerIW6MVI7VKF6b3DwbGeAhvLdHPuDbd5kRPtNdTVioPRtZQjnptyhHbJx/xNqsqMqN6CGYTgTYE8cX0VhRC26nce6rsH8OpNEI0VqCOan0iiQ4zEzCIJF4s6UF89RnrtlIP1va6pH1tHnVDEc+FD8aEgyBssYj6gAJg1vaI+xZkKWqQEPRHuf/2bu2ozaI9kmWJ7V6oV92BqmrC2Rf5fLWwBncWRlZj1hjIO3UeYCXoAMEWAFavs5EGzRzr0EM3nPztIDdXNFSTnZSG/2Un5V5sLx/Vi0qUZHH1J6mUNZQL2tBIC3Ku9BmSCk1A6mtfAFrSVkJd0bcHJSJjrIzBSRJt+2OKIJVqAp6a+IWUjWdEPqg5oanGb1oAWhWUTORUYwBdDNymNVqw7Fp7WR7BeONZgOiTs37vP40P/3d+/vreX+b50PzZT7/4cdvfu1/+r/8/uf/4jt8ezRauoesq9CiMw3f1u2sgVk5zOqqG/FKum7XB4G4kddEdi1l1yvyAqKtZfUVjQtYRaoKqLoCkxdcZF9dXV3FZl1J72EDLnYkBmS5q1CV7vJqoMvdm6qHtaTVoi1AVbEZMwWKVQ0SdHWxix32587lxG0zA+5JYKeim17KIm9E+xIRBAGWt7vppgOwDEKXL/QaffKcclvucuy18gJmKqiao4tIz7LXLrQUZkDXBCHAVnJ2n3KkuvsCKUPStoPLLrzAIh/HHQQlF1C47BXT0yndzGxh5o/KGh5f75b3QNFC76bgQ7SV9IbMQSlidN31bmWj4qrK7TTatz7ViLAG3XR55pZ2IOUT9wYRuJUhMZIfduCO0DHnBNRqlZy62IRW/Rw/+7Nvvv3d/OzX37n7+T6PP573PzzOl+f733w5nx+FKvpqRbzUJOm5qMPTMwox5CLJOawujuWVDDhHuetqWY5nMf1TKz1dYgXDhfMIcAaX7zN9LWg59idy4KoZlH2lqUPVpShIaNBaKXHRctGzUTv0gcqxKTiHf8ConRqFlLY4Na4Mrh4VDxyXZR769uo9GJ1Erjy7cFBx+dkgFeVv1msuuG540obFYsftnAnVQUitzm4ATT5GL/iO+gqo3IVQWNM3cmFmPNsWvi3Q3ge/mBwUfZDzVdhClsgSm1tkTzAQH7LPBmkBa+JW1r7UBVt7V4OAUgH61abW+ZEkXA4KdAAeBfHbTmh0wNG8A5ME/NiP1mmdzCJu6rL9snoGL1b+MalsgukG3uQXiEZqpXezRToEzh2YGv7vhnngW003cJT48McgkoUqGdVG5KFwa2YJqf2Em50HN7gl5wgFVCxDVVUjfZC0d2aapUbAxnVG6GOeWkIhpEpA3Ez8o9y7k60we8Smpy85G6aNRiEDPycPFAFgDjeKBZCEya+sqFBTvpid4orFLMNKmcHv9k6IFyKTff4TfQ8H4HCalz2pC2fcY9tOXbbuBiADYrXHLhnd8wRZMlClIa5JcxOyW9nKVDy4uiWZuvcBXoQ9q+PiaNAmCsUZ8mzg1R0ER0NVPOy+XtJk42wxx41RiTPewKvIyZ+zlTm5u6ZY2JioiHKCkxatgkQnEuaiXDSaCjqeN2L550W7k9YtsGYMNmshUMhsS3rGzFDSAOhK/mkOEVcySO/LOeTmcLPajbnHrjxVNC2Ko8SMpvdz95mPryZn2/4xGbkLsnjqlmlRG6609L+8ASKpwABXIrY4rzvxwJOpUJGcZ6TV/5+qP1myLEuSBDFmkfvUzNw9wmPKjBq6uoYmgLDBB+D/t1hhC0IRqBpNXeiszIz0wUxV3xVmLFiOeoKqqSPDw91c9b17zxHhEbjyDudtDNWrM/xiqc+87ys73Y1o6b6cQ8m0qs1sA8BG7W4rsVq+0jkvZQo+n4oDY4XniCxjebvBRyB8Xs3BqhVDFsVfMKR7/6KjQ6xzsu1tQuYJDbYfJJUAJTG6uMUKdrwNiYpFv9MSqBBCwsh1rTLEGeux8S1YGSM2hyVPhaOFDUC77JU3VBFHpBrPPDvQSag67bwbcDRIuByTI/f6z++XnXLDJPOLVUEhe1kGK+Jfzx2zLS2sC827VkI+N/DVlOZxXdlFFsXWiFXynd8Y9FC8kw/QVWIaRElfM/jl56l+/v539V5vxe+vZ33lt+//5x/+p//bn/8/fv/1v7696/6kS5b6rkJcq0uyRPMjbojNBWdJVKT9ZAYKgmrjxpL3+5GTmqW2euG3bGdA+BvUOUsX3mXVsjPR+Ue4Fy9YNBLdWRgt40q6WfnAaObJ9tiFNf+iSCEzgCVRdPdO0VcCIbDOYHpD+wLnuVzpp6gtG04sZOQ6MbUBvDYuMpxSjoP4pWKPMkFeyxrFA1KL5bBWp1JsJdMyThlGNiBv2VudxZWbRRR+YEG03XsLhJurWawd1DkUU0ocTcDcISSO1yurfV5WWoJ8F4rSELVSeheQCXG3bEQUhY0v5LGYGXGUbExmATkgUNjfZc62D/le76n2r9qRDuQHwo420VpUUVLWl73G7mYiyQCywfEWdYbOKpQbn/7w6bv/8FJ/ufi4nvf9/Pr+7Z9f9U1vv97307x4qZ7iJxftR+lR9bmvZ/kr55txJwGci/TUBhBliuEth3wqG83CWAm5AmiPEtKHHV/HqBqotrZn5kMHofsGB3hsYU9Kvlm21dVj33K3wfZtAvfc9QGcYRfUEXpRpjaBe/VmJG6oM2rTvgFU5wK8DOdxTsjTOndEuOzZb8NYpU3kNylnCw2OpKTk2AA7k3JtFHy7Vu5hBBGe7MtADNAgRlr+Njjo+fbtsIIRdK6c/mB2ESkelKsWx8iR7DOu7+cSZW7VLjOEVSloSyY7Ub0DDkW6jWn+xsQgVtkH+RQqSbib17IzVYIIBVwG2VsUUFFQMHlvVZTc4mD991OdWEGcy5G5CYuJyJFWuhSOclHSycI/Qu/ddoT2zpGX8d/JEafsTnvaniwH29hbC1HbFDndnGhysH8M1ZtWYlX5Fh9cVYzBYmyrGGQzqmIO3wJ1Y9G1CGVysS4ad+f+WnWAqrZUPTvWANwI20pyyCafnWu+CMkTbcV46BP1At6hegqTzMhwEO4AqrnxP9aG/KZ5TyJMGxAIfBGk9mjkd3VO6fx6UiY/PkxWubXflaMnWq0gkVTYWAmLmQMD6pCgB0uWB9QJxl5gbZJcbYcL2bgjHFnYmymANUlaWCN95Fgj+RzgQZDjFly2O1fRZafVbkAPUW98qpqpYguvUjVe2LWi5937GYuH7vB6Mmg9+7Anazi7h4NfUbiz6/CijNtKa9fd6CTe7Vxavp9EbbTxbkrFO9ipNlFCdxgzpZ2MxcGZ+pKTtxuvYtbciaOzglTZeZiFfS9KfubrXdJ1KM4qDKUPEGKHVUb3lekDkiJR1RFnEhUndUs7miwcs4kwTLylSxhG0OhB/H6Z9HfMCvdh2w2NI4ugvep6exA8JzCbj/EETas4W16YASRvnm2yz3S/c1e2mvR+5d7PlF0B1RRnjII9JMQd5EZB8kMknCm+gI6EKWSPNzIFSRzLTpZxSfli899QKGsCeS/TAg5VSYQOtjVnTTqTAvbn2tCRnKywGUwOe4FtCNX+fpHzxXAXuLTj6tlBq7Yh7WPZdb47kiWqT+NESAqtKLlT9xld1InG34N5g832+8gxi8lRnsexhLoW8opka5/ZzT2gTzyByz3ba+yW2WMTeuDW4P76sx7s68LbTH9X/uXnqdc//ac/8e0//W+v/9+//be/FQp1mTcwxWs2+4oHqXaDeziFGs0VtZoWVqYUXkixR7hAog4ovW8jG5bZvb+hqouOHSBnbKHSKWRGngb3coDcACLkBtEViVBSu6p2Si9A6MrbFACARweQmTDAd8I24ysqQB9MeYK/t7YplC7ZCZvOPQF8lBGvDCkQto5w9Pws4at6aVdeQc6x7BPXMQOoImefyIuQcIWus1lOsJWuxUhBoqHgHi0Se+pOfMLP3E3ESaKdvMl179knoJIbMvF2wAW5EytSrmnnO0paigeka6SIIkjJpcoQcAQGMorlpMblNwt8wTK3QyCaFUQ/Epi4mHiSAJ9eeMhaUPQkbiacbycDIhVyyINZ6xWKyqBccjuZriCvH/H4d9fX/1yfP3+Zp+aXef0b8A3++pyf3vicT1bP85P7i/Wp8OmTXx5349u3edQDfGcq7RydCgqExoXwqPmkst0M2bwJTTq1NMGolKz87BCyh+i7ppcPx4ZfXCzJ9k0+yjSGFT6eNUspZEgjy/ftymKVaFIcwY3H1Z5ZH1ZR5lUl+Mpny9o0UihZ/TTF44gDESV3LtqVdC1MGwtSAa4euYvDrQfMjcxrk8a94WIkUhYta6o7YTFX1qiME4agRqXPPkccY0FFikLD8h6+aZNua5EZuKqhDYGzXYW8qM1U5xFnds6V3fCwiznOBK1iIo1DQMy5dRKudxqGaej5gRhlmzc75g7CWUhAWeiy7+ZlBQ4zGoiGCrFr0BHhafYmZHCliLyVRk95k70CcKgMD6tzz5TWs5aEKuSM3OwWr65TQSI7gkWzUHOBzroNpP52JnByOCFK7gxoANV+MG3YlzmVQ4gJVvZtRP78qG3IvI2XjtIQWCXnEhNBXU3XkirRQtM4MaH5fSD0FogUOD1kKgOM6uB//VxhhbGWxZAriRGcvf8DR40CN0bCkDYCpEDFCsZBy5w1YUVpwcSdbFlKJvMMIkR0bzmumH1zD8LcAhOs98ZtdKSnZjVzwVXMNBZYA6NcmCh3Zm2DnGGZklAdIvhCPb2rs9S1W8esiqmy5e5Bikp0fd5HJLwsBRqVBGjyuvq6UGg0EnlcbtmczuS/0gZvrE1SSZYrjhGmglNkJ6vVjMrgpssDqBOmqu27yipLRBcRXS0KPeWGLOcBT13axdrlLSu/qRsswWZXhKIF23csKsdUbeXA1bge4UgdICvPwCCzYZg893njzdKGaAnoQbgKCO5qqeD7ckcwFhQ56w5ir1MS3aMwgLVIvVmeQV1RdHiPFCdIZKcXEQVOLCVc6T6XnQx+rTtGnDCANfJJicEstNIIZisSZY6rMYq+hDim+zV4VElxuO1+vYrLNez70IZEe2lOwkJ3D4SF6+AXempr188orD5IsrHDAVgU1Yt6nWQ5biMQ80mDzgpwHzBQ29lg9Z7jAIYb/mg4LQMgyuyd9xFtfej5DK5IubWlyuzIzTgM+BIZU4HwPY02V7ypnWW0iMGmLeyrAAfoTfhUyJrl3LX0z8er+AF35/EJN50bcCXZtUKaoHDEVl5F75sB9FTQQOSM6SVMbHuqIVZ5cNuy/Pamr7/M7656fva7n3V/0eDtx1+//z/X3+O7p97f/zeh7ud1X7hqWH7oepu71jiHoPcHWXLwL8SdlKNEIfpIKyMAya06l7IAhrQ997AfhWcQwLWILw+/t3h2NJjIWBUmpp0uk/yrXeztqAKX20sRccHV8Ue1bhWXMw7hIGy2EHdlTI8UJv8CsFDEHdfRAmGxstJQgXGQ75MQsDJCIMru/fZkc08NXpIubP5cHRBi0SqAzQh6SrDdbMO8kveFtvM6I2urWxYvWeWZClCyjpV7UE073N5BcjFEzYQzXZ8fZxos+sbTqIY28X0u8aYBdz42+mNuJI6nDKHrcz5FtZRH20AGehwacTkM7yB/fFplDqu96ekA0yO3l2i4/VwgrdnnLBhmYKAhkVWylv6JLJfthLCDNZ/m+7/74Xf//g/4feOe51e//vJ8/+l13u63r2++9SB6CDwexssDv//s33++Xj7zGvzk6leLePc8MU+DKCl1tjRSwpcyK7cLRYyV7dDYQocxrsB2luB9zAXiMiekehIxeTM5GILuKbKaW3xheAaJDMDOSaVC04PRTQZMgnUXHJVuAXWV3gLEqdC8sOL1qcQb06S2Stdrp06oU1E42HfDes5UANkAaBYBqeo6RW+IGIu1E5MiyGOPwCtN4cmxy8V0EmnSj3Y7AqPyPmtIKt1KNrl6CR2BXnYd/IZC+PAcXqzBtuui78O6cV/6/JsVHxa48TLeNTNsFpbjsqhkoCXR7KPrYU/wWujIIzLvUWAdiXXl3Qz0QGWgBzMgeOmkbXbQijtZBtKMpwAcW1iiZT61nlS61qLF7N/OfRJjbmGOso4BECZO6cWNmSjhTjYV1GVbNlYyy/hrLfISpsPPxfMhssqFCA5gxvUvP5FFvzZi9sqvsRLDnLW4Z92ERHPyGWBg++RoBcnnvZbXTR0oFTPvb5ps9MeLY9YtXbW9ioon5GjASrzI2cM74R77PwYfkoUp1KC6xyjdwJXnIEn7+RSDReTHIWdbPvaS3yjkxfPhsYRqY7ibWK8xFIXbivXbVFpWa0edGyz4SrHobvWaCHcG1ZxxwkjSOb0A4d5SqAwROGxG9lsYvKrChBTaF5ssdyqGSxCfN6xrRok0wQrVc5WttDnSHRD+EOmEzSExGGd3yjhqIpoXauze0slcgbkWCDb1BIqYmc4rdYMPmmP1UswZ8MqczZECxLq8xLdhTBS1ibmP+yQWadtF3xtmUevd3aejNpc7RJnWMZvlNk5SONaFfLpyoJ++nb+1dvDL9bVPFDb+drlUKnzb5FBdtf2WVS1wU4wnPiTQzvNR9UT71YHAHTYKV6c0egAmHzfsEMA1oiwYvdhE/MoGg9fQFNke4sFjMQ1d0KlaPwr9UHUBeAdyuAqy9cxB7jagcg3aUZ+guJ7g8HirlMyzYiBH+6RXzfc5kf1h1cyDN5mrVm11GIqVKVRF3ZrdqhOuuxjgQh/bdMd9SZbSCBQd3N0reWT2GlQbH+ri0HuWq074l2PWqTObjlFtP4lezMqbhGbDShV957+VN3MfBjq2UwUsBt2oBBYTYXzcWp/qwlx5yUmmGnS3fC4iPYSragbNgkZVvl2NFB7OE7/g9eq6XvoevL/dVU3Mp9/Vn//jH/Hzy//+/D/e/smP+8Fr3ssvJAbXXrtjQr/5RkKKRnezCcmI46V2/cwiELeIoAoLkDrI5XEiDLgogBdc4HMPk6U0csm2afDRm9mF3b244zeNquy9Rah6q+acG5GhdesRgr4M9I6hm43QywSQS30FHifLmCvuhoDOgnuxxNxYqEDZZa/BPLhoZoqlOqHeV+0qXWcHBuSqOiFa7obRtSuBewO7l2oBVrt2GTnhZ38IKmM/dR9LGao37zs0yrDa9waHl3Rqf6psz52n2YZ1g+wJWmYxtmZFesardseFUCyWBPS6+iIbpDsLVEQQBPfrCD4zuT20eBJXAbg5ADlu8+QkxLuqIknPd3DslZFLHZ1iueOiSf2qXIXnqG43m+CUP/34+O7f/tB/9yJ+ndfvX399ffv5q97m/vX9fr+p5yV3s4nv6/7xu5d/88f6/nu8XA8/n1/w8umrXH4n/JY3taThEkYJcmEGIiINqOxOHTxd7GBJK8UGQd5m4UaCAs1QNbY1mdO5e7T9EZZtVkki2lrHeqwu+zQRpZkw43kp4k6Ib2ClzSlQWlHqnmA5FFXEKFb7cONlHIvI3u2Cqgv3EtfrNqJAUckAyK0KolwDyd0yEhLcRckroiwnEDOwAsgrqai5hGILX7bPu9/ncisc7U/ENFpgftfGtLThwzuX3XSWsiB6adsC1XtPYtdN7uM3A8BNxdmTYJltM86cENlJ8BieS2n/w4XJy/+BYzD4sXAk2Sj95g9WhAOc6INLEolCDcLurBZ3fCzyEZXmK9rvMJtxmrEXwQI34z/Lk221I0tP/keFi9O4Lmqw4PU6FJKKX/t9jqvNnV6PqMHgVFad8pbW2ZUDKwFTyOpFIygs7NV2Y+57p1Zje8O82aybe+5wg0kcUQqzKpn3IUltiIuolZUa5RGxalpUKenNKzbP9DVdZ4YFZgYmteK+8SxgHfekOsKZ2FIyCR8FxcpIdnYEGRHWGTUEZitw6FyaeNRz8EgAJLDWf9QFpsFc+RarWvIxlw2uQuIU0N4A1RVNVbRN2kWvoKWNAIxEcapqQ3aLLmt0ochqj+rxgu7qIigl6lK2fN8jkSoocoLK84csQxNBb3SQ6XVdkcWKPC1zNQgHh1XUDcnOQAFytJpJjV3tsicHIGxPGnVqy8UaF6CyFKStjZif4Co7XhxuVpJ15xryckyK5qiT78oQTAu3CbxM50QONo2PxMaSTxVgFqEMzyA40IV6F1PxF4DhMEFUrIdbwKmEnqRtg8sFlzEsJIPIizRmBFhJXFbu2AzgDQgGvYbfDVZhU2ODl2SmoJyhxCtDZZhbfxxIMKdCe/k2OmNzuPhAh3WK0Qk3eZ+9/GzYzLnhAAbe4XTF1ADImpli/AP57OSP99uZgLLmbE5RptkF/SKlzhyXlyxrShCPaORoJLkOpWdaU3JpZA4pe4IWC8HkziuMAlfaBxH0Xn5x4a26PaecyfBN+M0Dz71rZMPSZsTBex8vRR0uerN/T4YwF/qdjzQhr3yUkX9jr9/VTeV2D2p3DnaCqGSIzGrd6RqOdBM9Y7JLUkdZUzkTRvr2ldeLrh+a/XxInKsk/PD6/f+1//r40z/93//29t/f355Vn+/7BudC8KulfdDL8q3TO+N65+fvpGipeoNiIkObwiP8TmBSso9qyeWUJCLjBF/2VD+kbT6p1b7aVzboqC8jdWCONqzTl8XkisTEnjs50NEHjLihq6xiT4xqvYE1+cgnBexlzwuJwsQpUC9JeCywNCpcTBUQwPICVzufcxsFG0Jh1vVIXoAjn/l4Sj9uwShmuRTk4loAs2/nzEDxo6KkLiZ7KzL+ByBiwgmFjsx00M5OUotEZKMPfVaoAX3GsyCZW4I7HqnTMGZgxleVbzOBsANm8arVNdQetcxtG4wz8yb+1XTok86WQSpTVXjwpdFyNooIwWSJFzyRhWb48+Jxrs2wVkf/wzL0AO8oXMD6vn74Tz9++g8/8LO+vfvz357vv7y/f5v7m+apes4DZuHF/Xjojy+f//R7/flH/u73L+TtN5DX4PnLs76fevfXt7cRWLxUin6lovaccNnqMNn5DmlAGvReEBM/xCDb2KOA23dXXu5BvC2okmPD1LiqqjOGNwiPWd4N20eSB8NsXvfs2c1RVxCi4/S6eT0C+ff+fEaCbYaoWYnSRtbwfL72ZnzqvJuNBjTnTcrEue9aGMKdiQ/qsmk3ktIziOgfar9fYQKY37i3kDhIV2Hxl53/czTCGYgdHq2A3yIsPg5fEEo5WSjA1TmbCf7pg6IVEbFQ+G7m7TbDrOZlJhRIMIwmuHtLXMv1cVsDJAptz0CdLACpzK2Haj5QhwKt403bgaNyKxPmlr4wIybyYi25iPRHAhWj0V7lhRmj6yikckTk9tReXEyBRl7EzWslaLQpweaMl+qZCTESSo47AIdcrsNBl2xOQI+7KnDXUpr7pgfpHTrz7B5iDExOrBUj5/+AvS1Rx14N780ssnzDyPxVq/XLpHdYY0cdjuWYbXWUARBwIbrGcbC5TA2carYWewRVVQmvylpS4p1Hug2VeAS8IHf9rKUdF6RBSBuXE5Xgsm8VSSS/+ApaG8VcAFqXMA/A5hXTgAtXqsJ4YKAgnR2JBM93t3PRZvpk+ArQXDuyuuY0C5RE11VsX50eC71c9agYmniv3EcjQi1teptpY7oyQKrQzmFWdZAwiMDtNUEXLDaWLMCy8hXNBAu32VoaLM/vPu9T7ORMbMLnyNGZ74VceVWCqMf0cGAw6fjLrZHJakcrItyVCXdngggOQeTRpEPMYg1s4WajhIlxgpnPCdwRwsM2q9rRfNDespxKclaoEwALY3e+tAhyjk9OCQ1dZWx+utkL03vKFD6EEAvFzoqTt8J4rX7xlGRTcc68vHy5IwC6hYlK4yNjwECuYDAmrY8hNtasOPViogle4hLdK1wMR5gVpeyq9F/FG8D9Yq1ijbkmgUwoFk+oA5L1rV2hiEpCBclogM4itAtCBAbc6RsVPI4rUQpIkecjwEoQg6DktYcDFxxKOC+XIIhWQsGIFfkfmpjcyhyrUYhUcNOcK5q2yPErfvFo5mMHRDZyRKGBvB00Pd5E3WBexjlTvE0uMx+9dQ2yAukVN5+RxqbCGTss0wxhvhh2hUpS797LmnrT4NtbX48vLy9NzzeNbln94+MP/+Uzv/3hH/Tr83/8jPuFNdW8E8LhFHomV9lSFedY+grlDSUiOqltj0SvKsESjMUuXOCK9pB9y2sVqtpmYrOP4Bc8eqyVWIZ1COy5s8dKpAyiO6+3qrAB7WEve8VWdXK5gCzf5hXhCloIRDhVDbsiHlgT3UXWFWFpWTMWySvoAEMncf0bjg2U4EIK7ACyeSL6ysGjZdX6AwtY4gu51z7cOHRQlsCYnCgaLbC9QFnxau6OCV4F0By8XLUHhBRf005JNGE2MYUifOd/zNS/aYbZ1HKy+wNg9TMTQL5ukRHfd92Y2gDJnMhMr8EKe8EdKFl75s1KGI6fcydFI+oi/vZeKA5iEwEsXLXse6idzQQChrkGBVPstmW9fMbL3336/t9/V78DbvBf8PPP356/vvvb6Dl+1yVe9qN51fzQ/tMP1//0589//rvru99/vr48fv3nX1+/fnp58+Ohx4vr/aV77jevZL9R1pzEGhjNq3CHU7q6NGLXMh5Jkyw4c1I50ca5pvaFwBLG+U3hnZdjmxam8nK4oEoLZhmTTuLk6AKOQsSAb5x2a0voNqzouUGlQqFr7oUoFr3VYZ0S/kLGauz8Y2BUmnt1R9Wc3ba4W7bhijZ5aWzaxhX9nBNTsKhOin59HjpyxUXZ7dcv4X0Cd9qJsie5DbnBuPJSKAzXhUXTuG7Hva/3QJnD3qY0y7uVroxMSYTbiRcr7M9QeO51MVbNj+yCMJHebSoYTu7wTKuiuh9xnLnJHScWkDAFqY5xglfguoJnAqSEO2orhrgmkKwpcUOt4xwhSNziBQzg5EDNqmDt4s2jgo+DM5kGgokWgkJPXNLyM/oclHm16eSlw3YPgGA+CFUyi+Od0BKu+/G3NPesC4G6hiuFjVUyZTvSfaoOFiIJ7D1etxI2uRURdhAfSStau9X5Zxc+mzFTGpItuIkngA5kz+JxY5JLZ2V0ivQd8Kirk0IUIxSOamvPq2NnKCRoOhrr3cNo7sS+O8pN1IRvLdJhopbYmB1KM5VJE1YtyACvgXK3+pJNvWNBNwOYBga44BnnEIeGQrcdDos8SQ7U4+quvdJfrhDuuG9D1JP3U57bphTTl5twnObV0VMcnE47X0XUZnuywNcHX34Qim5QRd/aC/Dj3hRUw6AOPJgzC6AwG3PHjcvQJqTyPnkxlMVkI+V3DT4UzdT6IZzPDE1E2sS9sA1nPG/cs29tQNvFYi/qjhR5PQ3ZLAtte4sqZlGOWOVkZSIRqiNBOrKdZVC45QY5d6J9plYuzqAQQcBADlZhthq/CB9o0Z7aWMDFBpm3F4yQ2NHCH51xMNOMNFHOoLEOUjhB84BPsnLGknINt6XBK3lE1JPBRsLALBA7NHUc+z7UNY5M7lSMLvcW4h+dGS6nWVURc3BCSqjThbkSGtReBTlwAXF8aky0oD0QJzXooNEH6AkBEQz9g2vGKfIAVja0lyFo4nk8zVjePAAuNhRuT/3wzcc54cUTqqzTA7/nBbLNBEBK8UJu5yT7g6KA677BNkB2V+iIOtrtTcEAz16YxahAtXhHXh8HC71VRmp8AjzEpefX918t/o7y41Pfnw3M3bq/+/2XH/9PX4bw/+Oef5j7Nj6rx0Lt1jSZA1l1X7hUTl0tmHmaS49ckPEg1zwvo6pllUBcxVEoIy69G34DZU4oHBFXxZoVmSlEx8pYNh7eDzkz5e50S5SvzKgWE44jJZoSMnsUq8K/cKmKzP480MK1FJ/Ze/na5HTG1L463lNRS4W40dLoamuFDWbbk5ZPIkFVEOYCMD4ayQ1dz3BOlJV+b6+6iSuHKYY88hknI1XSQhbYvFtcVwqWnSivIkxWpQaBIzSqPCNKO601r0XskmuWLRS8gzDEq2cnKbQ/PNjiXREI8+M3yL9xRZdzF89RgtEyA/lnuy44qmfkN8PkhQ9yKaHPgFkwJlXP/I0roTppFWYImnx/e3lE7NFXPfsP/eN//P3j73s+4/Wf377+8/v98zxfx/fM23vzvojHg59RXx73H3749G/+/N3f/fnxhz/3D7//cn333afun/9R9VO7NAJd8k0+zY4vdIqXqcSK9BWLzhqp4Ex06gdt1mXApU0mQY210wLOb7fIZQarZUoCw+cBRSbmRrBt4jCW0lgQoeYzpytWTs/JpkgPXD72sDxx8Rk6P17Cr0EbXTtd2GZxYL4zPFecm2GWKB/Hpm34ZvUUC7ykDworDlTfVqNDaudIzrE2UqkAPVSzuH7UcB++EDVau2EzmPCchKURux30Jfqa2ACwAhFQCZ+Cl0RfihJL1WTWY0wzqXIolhzLxFH9aOP+ECRMH5dk7vNQI9wfGOCGzhy3SqWKirtibJBjfBbnFMns0oZduyxXx0iKsx8DRtgDEViIlAUcA3DDcYQtxl25lTYlJ5+SsapHw7SHm+YJxrQVgL3ZznjGimY6n6fgWlnNAeKjUy+HoGQZGXNzLBtVCE3mczpGxXJHsw2Ug1uYq+PJp6sqUpc8OKuaVVb+lj3VYQBVmhxf5TvnhbdHjFkby5p7fbjLKCW58KO9GyzToDIJ2Vhz7pmwsBzZvjlmPnitRHc3kfAlTRoaT1VBUjkuGY2htPwVO9hOLk+qQ2jkIU8gBaEnqzPLRrJyU0Rd+56QZ2+14wJSkSINtGexTZ6NtasaTTbZV1/NamsibZ/n4P35vgXDE2vfiv3CdEDD3W26e/eVNcsuVRGZ7uwynunKJVi1++guWJnPPGRdoguTJq3kH864rsW8w4norNq0ZHQb4nga1E22Rh/syG7mmwaHHTd5lAp2aVvlLlAezb7mig0jiDGBOwdYQUZf9izFk8uSPSmUjZkdQsJqFpXS0SFnKSLhIfqIYJBuLeUCiwpTcUixeKe6GCvwgLneiqlQtmDm2ew+F2M0HtbeTGfEzPe1s23Ir8SCZAMvR1ntqbqQo4hCzLAfNZsB61Lmw3yW0YDJQtVqqBNym07sQCBRq34Ae5k5uDKkFIWSBelpVFJicy43OcTODNnMIpDLwLE0gGU0SgdnO6R1cNlKBA12KwxrzX2hbVbuoPG2+mDnrcAIAYKTLyrFthgRRzaeTIBMqhcK2HbFtJrvWZARPWrNSGLA1QiGOxUEfGTFHOkvJs7Z1RUjGQhbPbHDY25+zLhYRdxGFGx28l8M2JhSx+aSB35uPMD75uvXdxapas+Yj1/w2lOf8If/8sVP/1y/vP4z73mlryuYCMG+WJLQuAYuopvNEu5iA3OFAxG6t+mNxkf7+EfgRkyCETdfzZztlAYotwtX4lMczJ8BoLLRMHp61b4WBtN4UheXMy4i3sIAxItTsgD6otnlidWDrK51JDgfc5IsIkxKq00ZeQ4WGDSqa+gO9rEUp1ldi1k6aRc6aoKFjMjH+DoPdKnluPKPJTbKJWGKm7ljAb37bixCOwEHVmgjmBxOQjV4cX0ZdfEOa6lFxJqM9OA61paMmwvZRWfVKlWMDmR5dWpNT1VLA0TFWbW0gu3yYCLiK1UaJiF1lTBl3OhCBKZNgD1PRcTi8JXLFubSIrpXzwGeONAlfWnG25uofCmTz7V9YXUslE/xZv3u+vLvv/vyH7/Ud9frL89ff3q+/fTU260benNr8JymP7leej5/qT/+rn74gi+ffT0ejy+Pl0+f53f67qfX6+J9Q/YNZcPVjgquXUCzm88FunRVy6EBcEZwaj7Ee66chhfx5FCLHQE3wDBqqow7lctsw02AD8u1E46hZPrtIybId9gb+AY6NkzaxZ5oGwm5kc0utBid0f/QNBmokbDlomaAGVfhmQ0lgyq4EG9eNK76hpeJJLkn9bdMJCf2WDnOGTu5cj2pBPKAoXdcOBdg5nMKXqVlLc1bR2mUSvDNZbGThp6zOMrhj9UxPCvijMXumrDDyywaxWHa6jlxGWQhrdiNspZxISQB8AiMZznXHva6Dq81ZEOdTLm61n2483ue97Q4hnw8pEEIoPzyyaHOESUkGOtk8mZUDjXpCCtgubqiPaveEarOAkSee3UX98iInCsueXszAZEMgJUTGkHvKgL7XKHqQLBOkFTkMQu6Ni57vdLnW3Aig1KAgKwM7qoTLUfA9fGnsNDr0zriP26SameGHHjVRMsJBMzuGPQyH1Q8doO8qqu0yMHtnc7ClMLI4swRCPFfCY1sIIUex8Sy6onANEklRYY4o7YCbqLgEBlnYa9hggx5pNR5ulQ33Osu6MzY3m2R1z75JnyrQMdNqpaTIvfhQEiyziyLbsUua/QtP/oqN6uJKvCqorvLZpdupSkS45rRLu1B3Gnwgm/SQuFoFSwg29v5iwJatCMH7XWfVHNUPHXRHLgTjmuQbO2wFILH+7qxCI27cBMRdYRp6RzBmJudgdhga/IUwskxhvPlNMQFrGsDlwxspBfoVQ5yJ+TOfI9as0rG4RxIGgM1dINKCZpF57DZ1BcwMhsugp3XeKmp0Af5rnJ/15rhHFzNObRYLSmnWu7H3fwL8I1ikiNBiJFfo0ZT+m1ZMNYzA9+z4hAtG5+2G8/Rb+b5jVyiVXdjgQ2d/yOvHqHSCRtBJlZswhvNdCmssxUJ4sKVRTljmeFwAQvnB0+G7skPmwCj1TwMN/e0dtfuwJzcnzfNhN201knPhSZ3Nk+spodIH8zZOz60j1jvR7aOvQcXjgw0FFI4JwA87vxy946LzpOfSTNA9mIuXM1sLAaJm2pY+2DSkXF+BDKBtCL/G33Iaj+ETrmQwM3bgwXLtkpzn2o/thU9NmZtlvtvI6SaW7zgzHQz376WWf0qPARcn1Bjy/f1/bx8fnz3X17u+uT/J+t/eN7fkaB+rpasAZTKtf4w+7r6o5Jj4LrCVXjpsiJPvEcwA8FX5ZlBVeyzcCWOIqPIZepqKpLuItjd7o9EoqutOWbGyx5bzWOKpDdjA7kvk5KRcyyr58zKJspbopH3rBrgArjr3onmhuBo7SYA2mSvbaPBFF6LRNqRRRNdbUWvkJGAffmKz3gYO3FliODSRENXVs4ThbOhBJjDL0lsYhTSMQ9q/gRzda2Wu2nwKplmsQKlIVN0jQjYl3OMr+JR5cqWHsDiMo5HkDY4+6IgNFnux4Im/xnQeXYxNdAzqsItx+VluDyKUhW9Alo7zqN9Z8NRgtquMBRGbGy+njdhBFoEFGCN0SCvsp7Dfpi4UJ/ru7+8fPmfvsMf6vl8e/vH59s/Pt9ejXfglt6e181P1It9sT+zvmt+bn6+9PJSn6/H9fKluj/1p0+tcT1HzzujRvDKIUFEP5jKZ1xNEtfLg6pMDo6P4faNEiiib9OFrrmGwnSy+AJvJd+TWJJyR3+G1E9iDLnhQ0HPN2y8x0O3PRY0Z0YkNTvbWtpHd4yCe7QoaJyQTJW8izHMJmZ9TSlIuADukAxJSDh971UGSindyl2QgNgN3MvBcBfaDW4qArgP/sKnKyKCb7lZHqjEf3UPZyf36gJ9Bp5cos6i4pMZqoO6BM43gRS2Raq6ctT85UAW4d/dFiPzy/sYO8WHowOhdz6I4KDmuLAOgOANUR2ihxbQY4AqoyCq4ww3gEx1eRXZ48SIKDpKZP/94C7oOk6ipXdqZxbU4p2NvqFCEJfczQv/xdeD2oiAkPMJZcxiIa97dYhSmZ5ZYjuhZQppUJylV5wcEYccr6ITLXJBYKEg3eFAABjdELYoeorxQnOLgGWsKSFbVEAc+kO4aANHCpiTPPW1+TUzeJshIqKhO1rHFchVVdgwOenoqwf/uMghFKDYJG1X0Oy12hMg0v/sTh5NBGe7PPFsE1EfHbEodjgvB9cOPEdoWFd60TilK1+zznKZ8EYftDvkhDJXc7UicZ9kUnCJs9RQpTcEMwBhYgYoqmg9fV0CPnXxQjMmHOHCPKEbuv36dt83DOBOJk20fpydi1aJlkt2actF2OIASfYMW3BaMqTgssOd7bhg/0IocG7GfBnMyGxklmdBWPfuHP4b7HROQHYM89Rv8xoycGW3Iuw1QGlnXLcubwqPkMtfhEmpM1QUhNrA2qSJFjxZ/Uy0s25PXtIc3VsyiDLvPtjv/jorKMERC2+dchGCZTY37CjTaUnc5qUNBYq7UZ4cFZF7GptmQiDExH4zAXgiRlpWDfAm2GT/UPDoUq0xNqNIWJoPYWKG10BYLsm84MPaJ022EmpTQYuQHSL6IsL2RHZhx6mgZgFjXQo6ilusYg3RY5Hb/xRvFmdjm44365aabUwinHZE9jH+VnxmSVZRtrucNQ4pYYB3lggh7mFvgyp32GdcoOfeOJtc+h0WxECif9z2bLehVg8VAxNIZM2qsvmhGGVmtfyBbZ9/wDIbaV/NyGwfBUfyQ3KqRgGOHdtQxjPKLqEwVdD20SSbJXKEyKLKDJVrPm7PYB7v/HrdBKpcvK72vJrg/Sx+5nf/8fP1cn37b+X/zp9ehzfr3s1xip1ro3opi/XJAEecWY4xJ2ciAGYV97YY77bXaJvrnDI3yaKvOJxy7KKwHa9XumXoZaQD8PMIWZm44HwNy9HsnDEU2Nn4D7SJ88nHK2WDXUHBswCuVAsO501G5F5gQsYCvnftipdtljklF2a5N2ss/+KinBY1TK0ycNUUOa5Tibc/pUE6pbgbnYDDB56ajMXeqnZTL/rOkX2lD9YVOCoIKMpIjMLVuSLD/uq4LMsf0X+goAfKafhbIwjC1nOXelAzXWWk0GbyUmeNtnUVn/urXLGM5ctfUZa8c9UCezaTigl5OteDmUYUU9EJo4PCZtCKlZgdp4KKnQEZvOs7Xn/9/Pjjy/P1fn/zT//ydr+q3ut+vvIdJa2ovsjm1fP9C788eLU/X4/Hy4PWVdc7nvN4/Hq//3q/vvvlzSU88NC15g9BeoC2HzlXLl5jlBJsyhuudvGqet7veT1NQfYwUk3Ty/4AWGhNguPw3o/9gzUEyqwplWiLzeLcMEvREIb8U2rJcwnz4K154nOgGwdXYzRH2xtU5vjG44FA/I5/TEdqsl01YINih+ANjQxU6gZCWh402Oyqmg6c6bayHxVrlD9r/dJkmhKMdgICmAyJxUHCskeT0BVB68J3Qb9mJUbBZvIw+kA73gc+aD4MhVujGfXxUfozU60COeal2yVVpnYLKkKVx1lHD4QDUKXPZHPoq8oFVyIGY4gzRY60R1VkazBxBZmCK2KnDUgxtwckKHk2h7iTM1zCdz4Cm7sFraI3txt4Dr0Kd8RRObY/wzsm5Kaas/h/8P1gVqH8m5LRgf0zc25rpTEB2iK4x8Hbwvs7EW6slb5Pnuk4TbCJ5GH7nBbUK1R6lHCVWgIyYVHl8YF1Lay2KOcoNtdjaQVT8azT5wIHiih7kqTk0BZ1hGE7H2Su95DVOAZf5rbKtkdG9M6lC+DiBc+MXWQqVRIj1QF2DccexZFU1RfqjqoTN0Qk67n7BOUrtg1OoELqigmwZSD5wGdBhbMFR1lmDS/UrKvCRbk/2VddDSfMx4VbEYq/j/A0xJ56QjXDYHdkJ7kma2M5aao0KxYNgngqRgOZkNDO3xKcPNDDemMLGuCC0i2bCRYeRWQ8kT3WqvmKzscUJx0A3agCWp33TyNeNIG7SZm25erMAZUSZUewSFwKNJ91ELnLMmUVbVwUnaqXcVLXVx4gN8a2Nr6l6cVplitIy/HW7+1qreMoSWKjdjUXUCnk4OEutbbdeKTS9uIrwRwA1nrBC5pjZiYqXqW8N4mp5+7EsbLmRLLt2ZmIrIFNd6ZYw3A37OjFIqRer0DG00SLpanwPPZ9ZU650pHAop7BqIIkrC6OJln13JRcRw/mpcajgfUecUdovkt1lXswKz0HAV8rKr0KwxR2RyASFFRA9QUtwaOFlwPCc5U6O4MXwXjORiyAtZldRlpVMvGrRTXPap5lB6sP2fbyPFCWqzNRcikyssybwGp9jXw4oW+zoPvsv9G7BIrOC2L4OlNB04ixYzZcLXGplZDTWlMoCBTvwHMroUhfm68VcZaeuYBfPdW8URevlPwNeX+dd7291PWol+/+crHKj0/v//uv9z+9EVd+V8DUZU6iRq+MnwWQ8hU4bFixPMfSEoElcKSV5FZ7JVYf+9TBwFWXbVeTBh69pBYrvzUC0CfV19hIuWB0+VuoITukMq1Kelstz0aAxXFqO4pXTO1NVZR5oeCzteYlBrJhJYirLDdyFUpVHxRPyqWj+BFUnuQFuIHJHg/juvZ3zQRd+3kg6okTjGjCBMfdTBTjyrqanZnEzsVeq0jdGak6ilolosdn5TGTFoYzaRjRxyaGvpG0u1mvHBYUpVAijBhqxkpOYUCXpCB4J5BsUvlRg8XyNuiRinxfkbbL6ZL0/cCBTZmABgCm8gn2gMVpk56bBbU5QDi8/f1zuuR8biJFPx508XPxz/zy18/4vp8zv/ztzV/nfp93Tb+pbta7H60X40F94vXppT9f9eXCl5dPVVU1ZCe8+Pmsb9/u97ve3n3jGSNdvh/V9tx8KhTwculLV1+OAbLIeVoes3CzH33fADw33kmFPBfcRfuaUttlao0o4Tei2QnzDqHW525GSFHDiWNxsDRT4hIiyfECVXQEo1ik/JxQe1eBNfbHBd0hWoRB9eqzkGU7eGxyoVI4VYgDr6K7GFbN9j07Ko58W0FlukvZrnUWEyou9PCkzhmcnWeYxTJKb6xADgh4vNfgYszZJBFQDanNok9kHwOry41EjABXwAp/HKcEqxtyvAUKEu6PyT5xuwu97C2HvQ6R/2MBSO1pFrRyRQURIIftDX7fWdSQCOpm9sBzA+4ekP9HUHB/VOc5p62iLMqA0isZOWoZSlpZIC97Lyu6wHExgUU009a9rFH2xKAxNEEPPg4ORKNRUyILgx2l19MXhGol6ViXEVDQsMdg7QdAr7Qg7cbpBxd37cJOlwsD5+Mt+w48pvUdBZbXuVC42/Pg6IWyHOHjiS8UFoAu4I5UCnCjMnbT+dAX+eWRiQTvJWP9cMBqnK0aZyfdXVNp/W6NmOyQJ1xkzwzgBCcXkC7K2+rMKTbiEwuBc1NVNXCCMCe6oTOxLJkeCVcVdUdY0OwbV96I8RGLQ9XtjRilkyLS0U4ZLL/Lw/vVs4Slage+KLDW8VG9obgiiBWsDyoTP+AyhoeWxL+ahXRAXVBSAraEfVyYkXzD8Q8YGHC+pYmUJvodwYUSdv3Pg19neYTB84IebexgjVZ1H3YhPD658vPtD16kResfOut/feAzeZ9IYOrslZ4j1BLYoc4Tuhd2CvjNIpNbvRpJt+RhAr0KoyLSIRDiC2NhjixzibBG3Y5h5izueVl9ANNZPUmOppCSsycUD0mSIaoJeRyWKlMmNPUxq4TuToBVFMh2EdFh2vEj4iCW+pCuMRKpRpSO8QNtlV50nwHEvct2hFxAh06P7rGCHgNybsg5jAX38CiWt3kxxkZ0WKWqsoYslweuIVzsQpJlchHGnNDmyWMbohwZ1aCaN9z5WsqQMwEVzrdH0rQEQJz8hSMlXOkSYVOFRo2MuugJzB0EIbDx2e+Ox/dw3EIdzCInZ7ibXDDQBEFR7Kg3Y6gdN/BkXphNVwe9Ecb33VfJj3yVsL5+ezMvoMHHC++6ukyP9T739++frpeXv758/mx/9s+cb/+MUnWhNKFEpEzOKBy5bkD7aPKZyM7QKnlKsi0vbQlllFFFUBbSJDU7GQ1M1abRGWi0wao777wbAQ1CzpLwCQpBmHAG2PJxABikwA4vhDXtiUVFn1FoboIV1iUTHaXy7GQ261VaHlKvzvEP7DYeEdjibWQQ1DAXvhKhxRDaKyN2g8s2BFnP2daL+fkE5fkJpAcm3D6OmDVBOPWb4Twle7TzvGCBhnNj7yFRrGxglY72pC1EixPM01Mlsa4sPo2aerZRqLuWdgspmVzb6JQYEKXp/GpY9Z6nRKU7bp6JpdnarsRM2nJDm/TDcIDL5DhKmY4KM50ogZ8bgC9wqlhmN/t3/d2/+VR/6vs57z+/z0/3/XXmbcC8zK66OYmNdVGfH/z8WfV4qQv1KKFisHi/9bevbz9/u9/G74ani8qTZDffh5wCyvUC/K745fP13Xd6uV4etKHB/XbX11/ev72qXfPgfVNXRt96cqEd5KkfFjAZytf1sBDTjrbd1rTsaoKsgpRLkcOC7mfIrMCY1PgQ+AQGiYsJB4Qa32K1zURbIv8Hku6UrFuk49CGCGmcsErt1Qajkg5aq/Rek1byLGBoEtyuxcRENjnp4FteOAde/lMjdGQuO4F6BDBoAbA+uLXtVATAZwJc6KoFbK1voN1l8SbXLIJXBXUCoY5xILTFoDnhAjd1+QDKqzmv6JuC5RR8e8Ju5B3NZJoh4jeLkOIhksk2pomTtZQbUAsNoeAKBpS1nR/IKVZvBOTaWb6kXBwPiErNUU5CTblXFbtTtyjyKjm5nQa2l8OVEvI4tWQ5vT2g0XGA15XKIoyrG3DnCAnZkHBA1CStIbjyfpqIsIEKUxIGY4VBcILco5+vTberhfHXzQM4Gg2cFFRgVWuVggBnxcymt2Use9iHvapCw0nSOvgk18VvWeGvV9tgyOKmUemkQdKQp3CtzGDp1BV3Ns7YEq7OGSRCPUR0HpVJZJ0ZnpIBSXE4NUY94JthcfNOTKkLkeRc1N6lu0ElVFTT5DYnDyIyuuGL5zWBMemvz0s5o4dLbCrLZ5X6/dbbq55PSB83UmF9CBvBu+kPNJC60gDZqc9LMA5GS5Yt4udlLOnsjoF28roGScyZzxg84QBiEeRk23RVVebaepIXmkR/BJ5hiFbIPsWXu9CA/eSqKSdtGtuWlxzCteFm8AILWV072wzK0FRSmGSQuoMRpP3DiEIDRUEx0XJjfcmn8nvgXOajYBaIeCD42hkBI/DCzuYfMzpp7qkK4lTQJtp7q0lyHH6gMxNJNT0J9vAsK5H5vjR3DKpLv8OuKpC2p/pCoDpv1yiB2aYFbhtMZ3bd0WHj0fJ3fxAbBPY1F+SI5iOfHLqGXbojWyk4CHBHhn2Qk6InU3q5VOgsFX1GQ5ksF/A0rz1ql34C0oymPsn/ZV3lsSzf3o7t9fgXIiQ2GFh+5K7tjEicCQF4eAZpZHdylIIKkhX+QQUPegcgrEqhQHIm/VnJpJ28ycvVBFY79gXg7G4EmbekqI3+RqIyFD0sLHBbNqdhaQ0OiVVLUqd2Jx/oUjlD4NPXtW0ipa9fb99PuQQ87O7rMddTvvHsL+7Hy/37+4eX767HQ//1n9//8aaZ4R0t4pobhRkWks+L0snnC1wReme30EPSijrSnSBzIJcyiM8TpSJkX8mIjXikncLmiNVArcwYQXmIj9FkD0nRFGKiWKP+QoHJWRTYJ/lmMR3fZucLsI1G9Ccg138IxD2euRqd6KNl4YJCsWz3UmhawyIcHdeVxygvYrSVVamaz9wroFgc74VF3ufns5veJB5Ea2AmXqcG6jPlJ8FTTvBqSMla4oGGllbPKbt3bF6O2PKbo2oDSQxpinqwpUCxhSoXrrQymtkDdh1SAsyMi6ujznKnpb5YDdzph40VmykzjLF4Y85wQhLDzmb6yz+bZQXYRpQyb64JmPl1+IKXP3767q/f69F6n29/ez5/nff35/t9lzC3W2qjVWgCc5VKfeHxuf14PPB4kBfRN/vnr2///X+8/vrL836vyFV672bjHvYdsuJ68POlzw9/efDvv69Pn/rziz+9PHh9en3nt7eXX35+/tPf9PXbvHW9vhMDFGOCfdcKRpJItrctWcKAEQoyNUGlWi8qPvhlCZBHe3FHNJAutErsWSjG6O4CijYnrN0WxnSyZPKUDFbmEtAN5L9qWNtorTNhBQPPDVS2uw2XEvKIbVcc6+IiRw4gh7HKwTQ+TsKoFxfCO0fhqlf0IVUSRKuqHY0KK44abroLwJQ65SLn+Ty91+yRswRyg+O8Tkr3PqxkchQmHAZ1CMYCR0YvGbzMQHklqkvF5b5rFpq12W5TpAZ8yYCcV9XIqLjJ32TbXnTP+Hjsl03eTwEBLvCxkIyTlOUeqkKPYRMWQpfpvIa0sOn+Wfh3JPoN9V/OEB+s5xRZlHXKEwNOBN0VMxRsnujiCzKrKKLBtHjkfwmOtQL5nAr5RVxLay5ZiWTKYP8Sx2pFQeAEw8raosPzoTnL434hgUWM8MMhQRax3fqE/MY5cnRWvZhZj1cdCsQZSJV7E3w8/ZFpMXNPFJt74yE2rrdVqWYfXuGYoE0WXxxzH01zxlF6wdsKCeCerfELwrM5lm3mB/cCimjCDSa1PQbJje0h7L62XBCS8HyqjXpQwyrdt95e/fbmlWR58TMdci01huBVHi7jo646HA3WJgRVAVo/E2aHxMWuGZx6dROZDvJcENvLk09jUWRxL46xt4y0Y3uB4W4K9sR5h1x2eT6aegaXQueY2lHNsG6yLvAcJ8HvrNGEWeMqKOP/p3UbRA7qUuXfAkDQJQ5UYEUhbBvV4UC9J/oBhdt5ifPc2DgySceziSxrPIg6NwXd3hbCFeMM6+JsroI+HkXg2IPi4Kpb4WngZZZyqq5j9TxyS49UmLns5jjvMSx2fuAAQzsOF+Fm2hDyUmOP3CLJwZBEeIVKE/juM6uVF9DRVwOIOg48nQX7ExPYEP2P6zChmyBSRWV8JKTFkpZzokjwwiwQQmxfc4YHep+rYGrB7LVosGVW/0Y9BkLgxg8it0tu3TBcssXI6sGpuZyjBjpRrolA0zpoatda5FfHh4HJ2J6YAnASc+qc1zEh2bRv4rEIQwCADGOCy9slsdTVnQwCr1y6NhGpmOq6rMhD+JrG63Nuvc3wy5frcYENNvF6/yJ/+VT+oR5f/OWvj7/4x3+8//b+073ETT1KxjU6tVUsR60FJ1IkH8jSpfn8CvaJrOShAiwwOchNZjdToWPOqMIsUB2caW0GhlGFGWZeyZ8aTnJDG0zmY//gjfdUXJwSsKGNZLOLTbIXGYCr6LvRQZkDvsR1epjizgeZodwb1hMwE4bBji/Z2Egdipfzqy9jEIXH8lirG7VngaK8BgWgvGTzqseWjXKxLaGHo980CWfND3SW45D0YPd4b/ZB1HgHrrKIzp3odThuutmFFToXo4XucfjRwprgwyoGU8glDsPtGg5JVx+3SmO6sZvyIrTxkvgDTlg9gBnKEEHW9onZOWH9G/pXr1ABfkH/vl/+zcO/u4Z+//W+f9Hbr367B5JHnnmg2l18drPBq/TppR/t7sd1FQt8Aavumz///O2nv91fX32jPCXfO61X3LJsugsP6KX16fIP319//IN+/OHzj99fn76rLtj99V1fv779j3/Qf/+nX//5p/mXMt8dH5xS9MfJpq9iRMT0prMIFalWdVNUs0JrlUJBUpxbDEMZrG1ob6FwlrIFgaPTayIyXF40Jkc995nHIleJrcxzIZmI68NVOVIO9rAXzB7I0Z77PJs5m4kE6xBLZXqAWl9LzjFkQDrQeXFXwEjGgxWg6JFvgnByqXNaA+k91Qbt+mT452WXTyI3yunAOTRsOEYQlbjCZC45hIBri1/tYQKXqNpi+fZHiikMclY4xwDlBmswF7gyrhAOnZ0NKeBt+kLZEIdxiN1Ag5PLcCf01ZwANo84zExbbQYM06hja7QJFysRNsWMmzBUV682CFVlBj/KjAiVoPZtGOvxzxe7P4kRkcaBbsO8XwXtsJT5ho4nwmSEIMpJVYv0VidIBiCDcglpgw0JlG8FOQAJb5DU2X2cbM2xmUF5ndoagjdXFoBZHXaInzQcYimmD0REjU34zPFSASIyqGZuTPq2y0Y1kkaWp/I8Y7mN62T3MdYIQtnwsevI/rF11gSs2X0zLlAAYuEpAZ7a+zklAYMb7mL1Jg3WRWHwqDp0BMntV9pJMrsufKZDVCDYCKZ8e+q16+I9fn/V2/t93xsNnw1T6XOpWrQIxL8yPDLAN5a5k8WpOoxVqSYPrQjEctr5zR3f5CEFa6d2qmHvhDi5mXIkhA0duEPYIaGXsSFVEfYkPFKwdVyBIsrmTVV0BaCUhqTL9yCiM+R0WI7nXLgnkGfzq5alw1zD4MVaKDr0u5kJwKh85DzTJoT0DgIJM3QMGxnVsg3SiK1C0CV8pGRmzf44VaL8INsxe8ezt7tSMLN1vSMenzXOImnDOXUIKDqjo5xcZUZm9EUHd4BYNDXfuHeCW/SNd2qWcj5F7LUD3v53AEE+eBA8c4q7fFc4NtZ6johyVQ5voiWhWQwyAuRPWbhimTrzriRrBlgtm6jNk5g0KTqGjdB62MSDRU07/eqsanzctIkf3wQX5E+KKDtGTcNDZC3gyNFCQYwlxKn3ZlSJmagQXGclaG7Cs2xzPix+JEczDj9I1ae8oVhxheQCv+Cbjpt9KWIsVBqkZz8DT5OYyBazT27ouu3qvnGAJcC3h/L4q1yGXoSHrk/XxdKrv92v7/Xp+899fTePv3/87v7hH/9f/4JfplQBg3dVU0UoXN6KqEBaO37kwzivVsVtZedLbRxBVdq3awNQF2OJUJpCsiFkbQN5Ht2FwrVhU/hw7u394vXBBm1IK7zXwks3KsZsLuw3qlWxb7gId4VlNczCnZQG0EyNGHxm8W1IcGAeqosD5pFd/RG19WGodd0duD7fagNePHXtNMB5zbOaSoessD8+4Cxkx48tR2Jz9AOL8B9gT0C0AZvmE18uALI7epwgnuxsklHGgRF2hSiwHwd3y+GQAbaW99w7tFyDLOj5TI2K56aW7FwwiNvsnfs/xYjhErTrd1rDgsAlo56pOobjZAxHWKBb199/vv78BZ/x/Drvv9zz6z2v774FWK4H32MJ6Uoq1Lzw6ov1UD1wl90Bq/3t1/vnX95/+qZfn7hvK0F4Bi5XLjqDxkW+ND9d/vyozy/88fvr3/3b7//0xy+fvvQnlpvP93l/e/8//nR//7/6f/+n9+uf3v/l5+cvbzUYzmPSWALcO/Vu2kP0jgcjNOUo6OO93W5apQyBZxHdtde+zaoS3um10dgfk9xkAEvuHTMmmrhWgAuYWYydeNrVs5LWJJa2WElPyCjbWCKI+0jkXkSCbYJZbZekN7OGTeFILBwgAGXguA6W3f7YEufjoAtUpCU1DhMGZGcf4Chi0wd6goL2PR/sthDY9uwqzA8ai0coTLsyX/UxsQaZz5aaeWGX0Sp+WCUOcoqM5uZdLjcLOAbpQnKJYBQ7V38CuH6TLQW39uJpGVIbmtzPochh1xUgATZQKTipgHYGeWRMKItGVd+exHjHWGa4bav2wIZICsfSekW0jTXuOnSDEjAUS3PIxgB0SWG6MkmuFDJq2LnA8X4ASRXCZJaMK2o1WYEmgh4tH7YfxwaWDNMoR1aNnzVhZt1hgyJKz7IpsZuYhKtkoA3GsON+js4zGeyzvxPPWkdlXu0dT0O/wvANXAmn3aM1ZgzOzoCRddGrMQr+uaBuQKpUI1s4Ck9Y1L4NYC47os4vTMnsB/W8rW4833V9YjGXRe3i2os9LqWWrs2yzPYlTYMzJxz8Sdx4f7ee8l08uFoYp7h5GTdExm6dixdLfy1pF1g/E2iQ+wCP4mr6d5fc8TxUDj98XDuC0VH0WZz0ABlobZbqyluYsnTt7ui0f00om3SlMnnUwu6dt5cN2k8ik2nRKOkmI984EdW33IXbHwiM8cBobZWOBjDHTRx/KyuoyNyRnNfM6Lsl7Yq5ZglupMdkXjJo3CesYQjWjFBJEMR6Nsp18l0CQKZwrYtzBFfZ7SL2ZmkGq/oyVxviBYFPkgLOnCWhOmNsegxWJYOjRGWokjzqGaEcTHz5Wld+l2h/xgkMgEiw6Qlli4M2cH8wbI55tqSge7o2P54I09UxwmU5c0a64pUE/kASjJm5DeNCyR9hv7UA1tah0/GjDGNasxNsyoyih5gF8v4AHfroIMqNShhJbW+MqIrUcp+EJH4t0kKgRMHo0+fDLt95E3JwLw5FntM37Q5XdIVRl7YqWoCIevyvQoGW6eBhE6pDWx2EQ2f6zXAgUA4ohIoCcf8IP/0r7i9qCRfxuYqPC7eevz459ekTHz/4y9+9/Pj6w9/+31/rW/TKNKRshQsBcU8GMvEO2V6j7DASFlG2ah3PuTsilS8FpfPS6uNEOmX2O+BvZIpsbLe8Jg7qHFF0V3mWr8lyiQ6Up8rEgCYhd3ls7vJpN/NvzrOy3GwUKfttgYUpVBpnAoiRBrsBIXOOE+EVJxAHvHKDdRaaKxdF8UwI+22eGI1d6zY7gtvjRvOkKoEF3GuXx6HXse8M3WdkWkQAu/pGJOeESBa8zuiwItzTLGLRSqYeXN08ouFqw4WpnEJxxu/WX50AuPXnhmwB4JJJpxvxI+fmpEBmuai96MKxhV3L614OElym0MSdt6rHUyLc6MxIw6H3frz+eF1/vfp3PU/MP9/f/un59ubnc+539+XcS+CUwNYlf350XSLxePlyFa+6wLrht/f5+ZfnP//z8+df5Jup+SzRF5rh9nyhSnU1+povhZeX+e7C4+FP7U+N7z/j8elqXuTMff34A777/vr8334hfyIxv7752zW8X+Z6UsXUaZjsAKwNI8ESjO40bMsFVlLBZei+6Y5U5UCbcFzwyRTrlTsQ9IhXb9xAiM1EYZXK1DPZm4UWqxd9D64THzsJ86rGLIe56DNXlFrRpHzMwHGQuXhFbAl21SRBB0f8jwUSFDF5btY2hyWibWyjxqJAJWzzypKngRCDMp9N9UzNhVy53LkuB5U/tLdrTxHYZ60ITVCAp1HiYO/7/Fscy6BXzpgFZu/fAGcW3Kf2JeKb8H9HipV0aC4lZ3oSiYedjgRfB8HGQrBeAbjQKbIJLBD4A0Mgg5Bggx2MLcxowPWSYZHW5LAKTpKPSh/WZA7QUBqahO2KiJwrpgeTd1Y4R22KhbXjr7iSRQtZfbWf9rUWoMs2Mev2FzIxxhyak6GxYazjqQ27DYQTyomMGcX47eqsKGBYxL3gSO8OxWFH82KyWAWl/BFL0qwtqyIownOAro3m18azUe0MtYucrlua5vnWtJ9MAzfHQYJ3c/MhtVag5iw6dbwB+e0sE+KjgrFrYURtFK8BzW6+vwkqgQQ/9cWefJbVeZsoTa12nzwIgnSzSjRVTfv2uHTr7RbUgntD0UagBt1IautmQ2dv1YE2d+3DGE36aQVLdVG+UTV5OkXBkXvDbhjTKCfEs872dQCqVb12lv+MyV4ZMIpiXZjAFdj4JsNVvGOyyI1osniRiU72yNWUTbc4RYTr2RQcJ0GYucwK88wmsykmwnDc7K2BsrxGE222C+HdmD/U8/ZRfTGRuNmfsmFmWgwOQQZ19KL3CX+UEqRg2uMu3wzEG8dYVuMoKLWiNVZFmw/c2fw9TJpyojCdyqyFYaKf23iq7CicICgALnz8lrF05afe7BIGawrJFbipdhvYQ6moCdfIMbqqKd+Frlz1B5YsCayMJplaCiu3/BjZefLypKk6Nx+QP/FKXcGOSMsTFDxBNpEM3oVTN1ncG/GqAz6FqWUCSxLFmMeP56IJFBzcGgymZcNlaXCWoqQx/6axsqtj9o5Z3sgQu1NryfEyBrAJTZclu7dckgVWxBBGaciumkSaqbtmdWBB8zEJVOgqb0ywdq5aCYAxuIsFN0CB5hUzf7kxwus335jHAJ/1cDX59CtuUF1fmt/Vp788Pv/Ly/v9Km0dVpb58NvDnfyCXXunAS6W4EJ9LCwBAMTDMgWmWro7iVZYEPDQqEppN9R2do+c9GKkDalP89kIA59esx6WPWrJTKu5/Mr0ZB0JcW2xUtzifZhy1Zzfq1C+9tACEc1gsOwOEhkjjVBtOeKFTSYpFraubDfX3ZZUg8gWQ+axUMLUoibkjjy5iSfmsfy3pQYMRuSdTaw+uMloMMxdvo7KuTb3MawFXFATt1zdHp3+bDopSWUJLU9nGvC9dFtUnr+Nc2EEKxahk821xTx71i9lHYMWjhFMh5NlM3gOjqdYUVnso5SflkZCtneOLbLZ/fJ4+ePLlx+/6EX3L/76y/Pt6/P5vAf3aU2MAKyaelzXC551uR7+/OlTV/GlFzJ1P5/3Lz99++mfXn/+iuf4DQhnewEa84rnENWqurrranX5kRLgEa4b6AerP/GqT7qf5Pt/+vT7R393i0/8NCz4fvuK+wE8cW96U6Y5mUsZKX4Lw0l8SjX8YOL6qdZEYJuN11K8PrmMMiyu9o5Vgq9miR6nigo0pjfpMZzLKp0NdhKoBJVt+l6/PJdwWa31ZIBGhnQnBmoPdlMYMH3c4Z7b9/J2KysCTuNiKUCBN+V+Ce6DKuI83lGPUwtLtTYOK2a7nekMpJdmZAaEX7DV/mCyhFTvqgDN1TXlJFsF7YtAN7SYbfblBTkPqZgkllU31l7sicrMycD8iazAZZ3Vl6y6Z2hsbnX8Spmy8ljT1oa9rexTuLcbWuzCYquJO9k9amfzxc2jHlvyPFM2AjrLFcwXAKoUm1xuC3M+4l4N1mytiyX2KRcAwSn2oiC5ArDGDfLgivm6UDO5yvI/B5CYnTRtAHc+9SWNE0QPD1UDpfoLoTlUfRnA7CSf5Wv/Dq1INquJub9kymJ3S+OmCfHDTTkCFpaMSiFgb2QmMClpM16i/ij0Xe5Q1jaFtL7HE3U4W2wtgCHGdXYr6RHLJhUoV5I7Z6PSgdP9kn80jsRUeWrvdJG4ibK3RI1bcSOg0M3b2etnDQeEsYE+LKXTC6N5v33HXrFS9MMeRBsTbmbRsHjlSyUMPiK4cnAVd2ARZqrKMc94wZ798HyjrvIY1bkd8qrkeTfiZxOU+AuV6aZozrDXhhGtDc2Y3ht4KoxidHG62LPbExTUdnepGAf291NUpBmjcRfatu7gYHex5yZWjKznIML7LPUhYhGRamw9kbvAq2Zjxg7CY7dLyDFkngHzHEWsU81tv88KCTboQEJ5fiP/rTZvphYGZFZlc+weGdAMEc+WAwF+7KpB7A7WEaAg6zuOyAjAUSolmyXyCKHad2jbA60b+1PahV4Zs/bhdLQsoDLFu2QmvQKcw00arni6IaC2NKwZtAX7wy+CjST+Kg/b6kEQIfY4+LjPeO3CLOIaLDPu5XSlA1VZZnJIZiMIeuBaKs87Qc32j+cy29jsWOQAUFnY/pUQYyeXnRd3XWbyEqXo+sAkDkex4NJuRFi6Jqmey+AwW6p3s8zQ630xJ9OYQslnbIPAQcTw3PbUfCFujq7NzUSL6IqCU4/pp+yaNr6NXjxTj/765fHp/TNmXm9cw8fL4+rvXn74C3/6+X79deKwu0iII1Ud8FlUuwTW5m7ghOYMcDlckY50Mre7lbkvXl0lohDhBTWLrDeEPORF84LuIt38rbyuiN1aHUKlkxBAIMni/hBiBoA6nZhL+hQ4uYm6OD6PemCoCvw+8X3wQCG2y00gdRwOVxPBi9Zc1tlBrUv/fxhO7qOEdAbujKgrnkP7sPoMJx1ZD0LpZz7RddYE54nf3cbrs4pkFR65wypEjFBwGiNTC1Il4+qOhEgnoyrjzmRmKWoIjE15tBwufJ76PVoyPTLTHfGvSpsmKAfPBHFg12yFYEDWIGY5sUggKGJ62/Y8CzUa8ayAu56Pp7+v+ks9/voDf7i+6ulvfPvlfr7PvN16wlf1fRskuuDCNPzycv3uxS+f6/HJ3cDV6BdWv73hX1713//l13/4+vY+372bHSiI162qtm82q+0GQb7gZuP7vj7xkp7vNm5cXTAaqu4u+voi6T8+HsDn++0nfUO981Xv9335fqovPTtRL+xq9bMGcsfdzoD2togLR7j6odCpDQIw+ziiVlQJwPJEfsiLR2jI9KVmdWVlB91kmytjK4JX0JRukJOin6yS04CSsRA3LWL8LnGyacT1SLY4gK/TL2y794ss+Mnq1XMd1sjpzjMxZkAOlBianzlMVuLcEKsqbC3aLVvy+r2g/PWLTDRCuEhjEFYdIFs1DCbHNS6r0B0hXB7jiEimci1noI54LXbbieahTmthfja2yiziibtYHADtKz560bgbO/rHv0L0KvrDn6yMkQNgi57OFAJ6y2gIDtm0OFADiSQMR5zSA2xBwjLThTqgRQxTLGiqBLbvezzYbW1HgHSygUmr5L6Ji2bt5beRAf4YyftjpmNmrF4NRwL3sKqqnFo0fZ2xSnEX4xYuBECvZTfligYhiMqebDnSS8bJtEJHlRJqv7I4CPfmbEfNkSP6/ASTaZwVc91mIUoRZuYimA1my1xfBInkm6pt11iVF4yK5op7pbtDzlUlwWbV1nAcnbYyTyZBBcb+d4fDWk1l5pUemzfZ9A3QfmzKJwOvWRCvqBNqASLYWT3HaNY8paJvRFBbNpXWiopuI+SZV1sdj64zC/HErDKQMuyk2jib6+5jG1mldqlXoEYUcIMXYScSMZfMwFXALPSOxwagxY5dInfxRKNKYvcdh0GJvi5CkrW8wTtAc2335Io4ygLyEpsMbfqhPeG21NVqlnSBIDXoglrBrRaLWBSeKl2o3S9hsy4S0G1eUC65jU6iuCctAW0ISmxPWXMJetJKEbVPwb6ragHOOoFwws3Dh1bendq3FBaiugnwgBVJoXiwklgiC3D/JiO3lwyEyToWy3U7BpkY9+Y9cQerDFxlNxIaZomF8iZWTvbwQqPKuCvLBdlNOSQFAtIwI/n6t5K1L3eXRHJHZnN3uHDTYaMA2ooWogzheIl9FeRqUJ7eQAgEGt1hMNFQdEat/VO5C/7huLE/trC3A226ukDOhDmoj3V5RYxROHYgndSSK8dCH2pgX9ZIYEJ757xalxIRiwFJc+67HmWXrhwnQB9uNmnahVQlWEK5q8RAdzQGZrHE6YzmlzsarIsW+sU2S7z5QMn0FK5bMCXceHugUZ9pfr1v/gh8tn68+8e+3tGv0svieFfITRUukLjnRMCQt9WogvPXVvSEQrbeayIypchSuI4gVwN3Avd0ozHKQN4bcZGI8P3CDDYuMKqhpJgFRvdmwH4glM6xQQYbaTrCY9ArQ+nKBxcREABsFEjsbCGdvdR4Ocert0YS23S1O8XFdQ4tjnllnFsVXkS/h+7Jw9Frx6yw4zMf0r+cxitODEiaqPLcpJmQnC3IB44FYcXhvAsvrIid98/cVnnIU4sawKvBtj+yfi1b94nEizoKZ6ag9xAKX5Zc3yUYgg5FJ5iUwGAngKL4j+j65KLsxua92RFhbQ68ZiHh9FFBCCg/Wf3ol355fPrL5+sPNfD8wtd/fHv79jbvz+fct4e3aapjrXpE4fbS7Majqx9dDzZrNK/vc+v5L7/wH/75/aev7+++uCMGh3dse5dRF+qOcnpMsPJ+S+9PPec5vOVHJzQGVY9HPe6Z+sJ/9x/++svr/PL2P25bNz/hwrP1BNuN5G0afdPMNBH2EgLgJuaor8ItUoZV4YIBe1gXBkpWmYBr/9m93UjbF2sgJpYzSMZmfMMsRBoHopi8rG0J5uZoNnZFJIhd+70GTXYi5lYGNsNeyCi7TaZwwPAdJI4+9G1AcG/3QWpuqqGxkcgHsCuynYAy4BLv2ztDE1s0s/vlZjR7IQJ8UFojs5L+TiLVLiBqudo4I0IgX+SsEoNHyLbaOq0U6SMTjnu34ChCD+pXhX0hiE1IqQ/kLTE6+fkAEhNgIiqHZU2VIQuIy7VBZIUAFFJDEyMMnPu6y/HWRVzVNLbslCisyMMGpEGUDDUA0++wcT0AUBp1GcaUyMgTumgzMYtD2W7W5FS6C1fCoKJ2lLs03njVDyEEF1hr+KbPZwq4mOaatFpgyLZhVTW4mdy8GaECiZN1FAjw3K7OvF+sKZmoWfzjZNyQ65ymCU2gI/twUcunDFlB0+x1O4AH68m25lpmxmUcZebafzuffoa+Ayr1Hm5YMD3m1oGurZyLDxXVSee1SXDsK5OgIbooUUwUlMOqNQ+NoSTJBXFRMUE/729wlofJN4zwuBxPWONw81in07IpCIkF61m8oKmCbrkupqfkJuBZJNwbS4BZCnDRq82TT4YxRPbAjHvCbNjRcO1g7cNdJVc7lySLoQhzeSpXIAN+ySq0VwCYIYHE+Jmw0FmaTme11GSSBJ2WH+fTNo2qoSvBkbFB9AndQpm720R0lvpFGkXdG6mTD8O39nlwZAUwS78J9/1xknQ5BjBrMjsfAUoKqCNSnmLPjbx8BHyvq3LpR1tSVwLTLtbs+bKtW4R05AZifwTI2PZkwvdKE/bvYSGB6TlrZ0UDOeX1McSHBYalAasr4ZwCfGVIwKYGd/WZ4HmmbjMjM1eAHBCKBKs7bJ1rg+LDdZvdbYmpkOBmj3lFrw1hMEVNWAY0MDEYEo41vmS1D+ZIAxndlxYgbvPCMnZYWn4d9onbWoI8e6TLGNQ5val2MIlSan0DwPXKCQxM6F0GZxACmua/Bp9DETViXyfmw4CELgwMXeBAyf6EejX5V3lGKd60UQM5gzaMEs6eEeGSjCuFm7b9xBSFqdsvftx6vlxlsa56/WX6+8f1w+PTn+RfNE9ikCdmSoVru0rgPjiBjasvaYQrt+1KtqLb2njvQhZZf/jusSqxo6FcrNxEevh2Gs7sUtFpltlsYxsqGFiB8RxWGKHQL8xfLl1h3bNOnZE+pFidSIqu4LKRFYX6X/ifOPGTYcQ2Q9Ewi5gwGgxLm+FYla+9Fhp31sylBfOJrLcxY5CTebtcPWDHgMfow6PkEHLH5xmqe7NJ87DAoF0W5YrnLCiNzVvQPTO8pXfoObifeh+83/e4dNs3Rn7K93PmpiD5RBGYa0k0rNqndzFnFcRJ6u2urVl+lbNCot21mg4Ipx+W6IHsMcx0it82EK+qnCFs/QosaBoo+MH+vR9/af9IDV7/dr+9fsPrvD+fz1uUPBYx0GVx3rqytwjwp+z/7MGY/Pr29ref3//hp1//9svbz68e3bJu6cY1eFGAQUDCQDdt4ZZ5S2PIb+Nfvj6/fnu7nxjxTjEQ6ipcTRg/fKn//B/++n/5z3/++99fv/uOPz760XWVPwGq5C4lfT9ZoZufs29uqJ8wAIkfiIMDue64CBZEasJdzknZEzVt7G999GILuoEga8KRF+LAimzcteleGCQdJvvmUnnIJJRRqfPbfpCuzBOdn4oFO3JU7oseujdv/6qVM0IjqInCFemYfuEZ5M73BKmhFzpyVA6r8EWSVNxORMgsi2otr1VH0lko4lYSOivZR97TImBbtLeKai8vPyr/rJX3ae/QnBkTBjuQFK9ajDQlZxtEzRUhhqZLVkEW5aUNWwG7hdOZC/YePxAhR1JvIxS/vLk/gUJHOseak3xohZlInKM1q5IZdtH3OInlRL4zHPrciaBI7OYZP9cJA586UpB0KNgxIInyvicWt1wgHSsZ/Hd6HjqFH7DYSScv+nii8gEFRO6Livn/5EyWdmitD1IRIhLJtjDmkixldsDpQF32oR3zMGPFoaELfCuGzjkYbuqwcuJbK+LJurj/fwxhFoqrGAASJfKb7HnhWVCTqweAYtke2x1OwsF9h0QIGad7Cb3iIWpDhVRQjyrPHCtf672MdQboOxmSN0UJrPLTHHuhaB240wuDIU9Nh5thwcHtcl9tSgY1NNup6lqfDGFIxgB2hO2T0981MmSNFqcgXHIWs+Tx2JjgVeLkrSt8nGszAQZFrS10nyVJPq+oubcSaUYHGFHEsdUUad3z1G1DI04hYjAXPTxyJ1iUgrNkEiOHS6lmoAJuyJWMEu6nXQGlGCZFQdCq3KtfkTyYW+W9GzzWIP4d31k/SFTnRg+xkUVYwX2s/cXDUig7bEmejFAmOLl3ysFN8tDmyM98C1qodJoMFClLEUgIdEC/OaIWqNMFEAujvXHC2NNm8nPaEBqoLhTqqmajCzG2FVhmyRR5ky5Olera4g0yzYlF8iL3LybxjOQFBB0mXOgSfXfhyqDn3bH2tvSgnjljAbQ63CeLx3CR54KFhuvsM4lzFUbZ1irfILzBBBnvboV6qAAzOUcQk1HMVLG6pzfy7OA73shKzIxAVy/IPHl74w/KOUMnDfSgDQzXzjqSO5BVaY0m89ezNQVrCrImAulTRoMEn+VcKeK5JhOQf0mL4Wq/UTxv3E+/vz7f3u/X0dfX+/1+d+nxY7386cJ3WjXS1QfDt1Nxyn2ECJ6gshuwHP6kwnEcueu+rjsgZt6jgJI50iE/gaNgISpRjGFvWB1WdSd8pMS8geJxoAIAu0KAVwwXlVs9qyuLhSXbABIXqqqWurua+QDzCjElj2tWyRnpsOLFiHeC0udgNWs7yC/C7krEVxckReiyzJ2LtrYMaTXFH2hixsCg3wwURy8W6aoKKZfLNMYJOkR2+hlHxRpvdZCB86PqZrz/pse3x742nXAgDmRYupchzvCm4GtQqRVa6kQCdLCww1uv2cviVoYFPY6uK7tgOEganNo/AL423PdEF/j4pZFpZijypVzgdy+Pv/7QP35G4fVtnr+8v37F86kR8PQzEAg1KAj9crnZJaEu6vFSn17y4vb7+7w+71/e/NMv89Orns8Xq43n8FPJqncOV5uBPV+Tw3KDt/Fm9dNff/n29uvn12/Ply/VfcFM2nCxrksY/On3j//yH//y+ub3b2+/jr574na9yX3rbjYo1ADwFEjVtJDBCBlgJwlUTWiTTQy3oEb4EvJQV4VrrCu3evJMsnv3yrp2z2WwGa6sMNB0brwROmFfV21jYt4mYPuX2KTHoqJiQhWHwD2sC9eSx/hgnTMu7dCBRR72iV+T+HKocmxucR/qY/9Gyp/jIAgi5A+YfyNDnKew25ZK5V2ezhsco7nNOySWI+OpOn+DsYVisbzsPxXLRGpkw/paMtHOh+fjnl2YwMBmOUc9tAR+WNEjGsqH0RF8aDO94t8PpIpya1N0ErISHMlA5RvfLSGLRZC1s3gzPzlOgXy0RRCQQulgFqsn1ylBZFrkp9OsHndxYjvyKwFHv2SHsFmnesfsHVtJTkqHO2ufWHWsWsQgWPagu2aiYZBMR4e03zJOMgkKJ83HYQRQ4OTS7BhmKhKoZELxfBGrQCwnizTtTbO8WMa1WsN6RCSLuwPY1uTMj3DsDYnWP8IbwitgNBG6K3Kn22ikHyBfbu7Fyh5sJGsuj3JBwDWqgw/DMKeVrGYt1k3AA1wruQwylvrwjtIu2U/7W4SSKBgzS4zptrtxB7PZnzuMCWPyoVTs9WAnYT0zklSd99Ew7CaFLo8F276zsjdkRocRyiqcQm2S53hfwAqgEiCBhH2BgygAVvlic8C2Jt6iONuiFByGNIedfENrKqKcClwa1mnfBtwmOiOimUWwaLV3m2ZyLuYOdxUpoAV2meFCg1ZmjtYm/2rrOGo6g2LsWrzdgC/6rgtQ8vMjS0K0NJFAljuArx1tj3H+7Ow46VTXIiorG3B1zeRELdpCHEUVFBbKG+IFLBIPiF15mkkbUkdBBFcOFKRs03WdALWAC9l0BbAjl0YiQW5f7LGiP8Z0snKirYgbuxowqziuip5ViO0cJit+bZCDBpInAMfL+khctdwkXaKiXqksnuIm/KfFdM9cp4AJZgTPvUP1uXK83J9PfjTPcr6g7Bnd4iORVrRQJ2ZT5YymXuI4qm2Sk6/GmGabKhxoqOmcrvUxLImrv4scBGvnBtoVpN+73JQjVU+jpx23BXm51s/MHM0SGsVSDGMpsz2Z6ZStSE8j5oRJb/pBoVDTN+/0w5f1mFKN5QdreP307Xn9gPrhevyF96/zfk8N5bsylidDbgf5yn+082Tl0jFX+bY3bvD9FRyyVjqDfd6Uouq9IGMVtcxO+MLS3UqfROYZCqk65Ai4WGCSeLj4Yr63k0VSXEpATDtkMCOzlwVAVV74Q2Vio4LytESAl7JVQE2oqBESQG0Ci25Fq3xlSNn2ChFoyiKNqY8dNuLRmMGyHezjyC2TiPY1ASnRa0QoEIoa2MxiJJy2HIMZPPeoanMZsBVkDFcMauIsI4D7/Q57MdHHas+rpSCEj5moZlCdC4dw4DKvQXNH96W8SCAM4PJu6eVYvUn8+3FLBvpqMamSzwABAABJREFU5wvX4qMdWiLzX+SCLfiT64/1+OPVn/X+pq9/e33/eeZ17ren7lubTB5XTMKOdN3ExW53oVGNGvCped58feqXb/Pzz29fv72/2reGaI7UOfhQM666qxq4yBuEfMuS9W6V38Ffv7397tdPn7+vl37Ihm/qBZ7idV9vHP/uTy//6X/+y0+//O3n//p4f3/9+gRvlMtzI0pDkETV1ubtrBBJA5MwlyM7TgDgQFStVuJr89Q0Ogs2VarqwGDwPgH5ZrVofJcGsb4RYNVo0k/nTCo55JF5L7lDOW7DVpY3uTdpEF1FTU5o2xVl+BzIMV9/FpAN2zId5yblEdjiTUUJEYAcMKML3vmWSItEkTMn0M4bdYWD4y880I3dNQDU0MkBySEULw9XWxvWAdYEZVqo32kWRYODIgcwwkJ7Q40DA4CwErmi5TcILyuYcxoOaBuVgy02zla2nWD5DcongCV7N7wRF1lacs+ZYPxRQsYB72Vy7a1PBgWZD0FsCBdrkBNEBKc6pSGVH30ftWhbWSigBMh1pY8GRqEkle2PTPe4922Jld2lM7mQ25Su0Cf+gMZXJR/R9sUiNNm3g81x4RkxBbhXO7zYWkodXReToWJ8OFmyjw3QIaZX5qi9r6OfQ0Xk4Noq37Up7MyGlfysRC4LrbzgIvbURkGn1iMi3zgpsf6zFT5wCYSMjckWt7zlyD6qr8UpQZclVUCt7JIZh9VXAb2+c1AR2nnyxeJmjHCCCyqVIvaheQc+zquIOzZoH+XBTpyRd8hlzmmTjKRpjoZ/wNL9ASgSurn5h5nXuHhfhP3ElbwwwkhiVQAv7zQ1mx6LXX+JYGH3pIAsQkEEpszBsgBf3o4oVTxAY+pDUbALLxf6OzBOmMo8r8Qwe4QWkgY5RrPhGfa1uGVkSyvHuNn0Qr8Zv0gXnOyEkoTnZA61MAvLRUIQ2jAoQlDks9NpC0eT1dDRvNuhoJPGAMP3IbL3WF645AB8cc9E9RJFeVSU6gAY0mL+3K0y+0UzuUUbT5mGiQJHedWGJtf5c7OKcMJ/n5nfiXYxpZGOioUoF3tWBmwWCg1O4VQNFjvYYccM07z4grwV7YVIJ86TCDRoqqZIurPAD9znDV6S1ghculMo6JxQ0ecq0hoMTgtDuqwTbKEc/LsL7KCazWOp0DPOCwfgCn2WZeim9id0BbtZCaEP/z6L4TISEa/6TVIA6IQJE0x0T+0KrFLFvq5m+G+qVlTFwiTGQVZxe5GTOZSkkFgKM6AR6fHAugLVvOJoKONp0/XCeh+8vOtJvD7m9y+f53d+/Onyq5/fFPVkMUaRQFYfj1/ktKF71agNBOBKXyNaOUd0mFPZVa0FjFm6FfSTSzGZCq6UQeKq5uDudS6um2Kh2VpJ4X6lZFQVGd4r43Iph02dxs/aZ6Zz2hZJtK40LJ4pPQI8kGluCLFLMDaFhZlsJX4CSSTczVIUawWBAdOSHbg8FswNhQ5wt3KyBcx4GIeTg0EmF342WiXDOgwiLdgIox7oLjkyABHhb64xQJN0NjvxDeEkVxqxRgRvCTUOuP9baUKo0LAUOTtzuO7fm81KXJYnh96e7hnPgtIyywiMEMShk8xZRfT6APIpVxUuP76/vvzdp+tH6tHv30ZfgXc/356a8bTufCYuTWkUAArDS49CM0HFhvz85m9v96+v9+u3++vr+7f7+RzLnLUUVoR0CDD+jnfxdeY5eJNhS3i33u96f79//eX967f3+Sbn8xcRwoa+cLl4sX7/h5f/5T/8/s9/fvzw2d81XsxuP9iULzsN6JMyRRnqiL0M1OQDyxe/dCbjO4vqFmzuEKah7AUl4vmwd5ysBlydNTzXh2FTARtsu3GuiYzm6Lxzyc7DgsdhlzMV5hXLZh1IKooCdES3rjKi+x+MDULBvDKOE7aY1Iksh1wwQQRQSYdDHumKl2z2XF+8c3KYLA+ZOyg37Vp98vtGN5f7NmtWuJoIatiIXTry6nx7tX9/pg0eSRSTPPAhYTaLHdFwbgyjw7ZVF2RFXlK+TFaqusLM5x5PFnIVOzT4cnXZB9aEKYETpfREA9H+cP+bSQIJ5s1Uk+Y61r2HdISCExtn7befRSmVhNhfT+ES90SR4YTVQuMPKQKdbZ3hGVzjhW5W7GhCpckT45w7Wew63x1bIq12dS6JAcD2R4MmbVwMDpYk0aAp0aaQwnVhKYMwC6i4eQP+tpCPtPNzgeviC+lznIgrA42ywh9sQ+TH2Jdiv6rWnnKUaRG+sRzlLnz0xfyzVvxC2suCMDmBt2rl4bBxu6SdPwE0XKlGWy2oDJDDvUhNwhvDk18rMaDY/2cpvdDS4Y5WkzPISz43tvIokUEsh7vPr2Kvzi7iiEQFlEkrEBcl0YA2l7MLVBRmHMuT/AeUwXvW9xhpi1fWFPphZbcDTsCiPTyX9sgxoVtanYGdsVAfPXh1rjijqQK1HwWkXR1Q7pw0K/KKe+KZlXwOsOcwUbu1yKG48wuXkFeOy82vkSRhCyF6dv6xIjeYBXKypQhyNJz7KnCJo7AstZuzNOYUhp51rhAuwroWTzs1vTA8hmdf+iCuVZWHhusXVEu8PxjCaCMyndp0pXVxUxuJAHVYnjNeJlbyAYJt02gODyhxARd4FboExQPENnUZtIkrnF2mPSoJvWxW4UEX3FVlXqxWFHKsrEJrcKaynZXz4lZVVeePI9z721fMnBGCtFGd8/DDBj15WHMlJaCgcHmyaBdCCYY9QeDzjH6YbWoNVr0K8hDYEVFROTldbKCpSmCJrWtv7gBAFtz5R5g3E4Ch3CBgw2kIbown/2MazuxUACEpto7QFgkmMWI9jPBHob3rsGxbjBexS35O7RCRH00hqKRoQUwYt2nf95Pv9+urn7ofP/b1x5frj4/rEn0VXjYVJnkliOZ+F3WX8ktrG6EZfUw2tKD+h/Sss1wzJ41jjom4kol0rpWO5LuGQTc7WUCkL1Sxrq5HV7O62cbVLFZaxVl1ZVTtPB9VK0KrvtByobq6iLbiII7jsLDk2+IFmWxgYjtwC73zUVyE5UXM8k/H4VqJ71BVxBs1PuXfSygh/2RMjIFT70jvswZPhuxIHENDD8xrWU8eFHYFBRiU4kM2LcSvrLHFUHGZ/gc0ZkLzRvBXVyUBhMLSPCshzLSIyK24K5EP3pIfEFokNYNTIZR+pA15adTM5NZVH6xtAL8Ku6GPkxG2rxR7YL3yBuvT7z59/ru6fmzfev35/f4672/PeXreQQmBplxUY7T5yCCfvvB8XA1LvG7j2+j1fb6+3b98u7/+ouernkRIQl68R/ctbRufhrLk6YFHfo6fT8/T9xPvz/711/v1m17v+9vrU/eYeD6fxctMZNnV1T/88PjrX7//93/XP35fLy/1QjdUuMNDaqebTFf5gHOOkMdayUSXW2WPU6NzYtBM0SJDp7Mgb5yol1pAU0ASoYnzUGS3WBUmsvMpIkHALjY3yrAqphKcKhdv7bmO4NEmZpMognnueLiQdjGt8Ocui3YJTORDkzus0N5OEFjaGD0sVI+griBWlc7iZuAjCELkPPSVuq4IbiUEBh5valjkaY0UnDC/cU7IxTZza3s/+zAPcq2T1gaTkQXi3H57CIbvS1j/b9bjJKRB1Xm/0H2sR4wufN+VWpTc6c8IYhQ1mEb770sWy2QLuxkzXHpAZURjns1or3o3q68G+0PXxoNO7ly/kl9cIWUqVv5QJPkHoggyNj4mcg6CuLhuPuSUqonXS6jJEPPxb1jBg2JzVKYYGry5DmbTuKrJpcvlWGOck4gkWy5NzC6XWW6SGDdwclPqytLwAaPgLAr2LknYIR9eEUXJwPgOwbrQ1Y4mSOFjfpMiWNOkVZUcIsgQMGe451YnFOThgWlBy4lSTqNNGaGNfP437QNHKtRWQZXTj7ubx1RD2NKEcLv2NWOg4/Br9IixILiAXPBVg2hQqreYIK+YJzcjAv6vLxNYg9uH2nVqpxcYqtuWokjJYqzEaIg2W9hI/WRB+a7A+AxPuak9GT3idIRu67a0l5cFj32rJmQyymV3V5rPbNJ3DL6YuQUIcWhuMHqmXmcJuMvByVR7RSIJTrOG0JPNFGVJlpLa23gZbIZU0iK8ITO8ohStZ0IlaU1xCzRzPc7x27uE5Xwj+IqtmRhvHEDFF2XedeJiaEKyU7BVZLni5ATDt8GHSKz4ErL25VmrFbb5400FMqssXdgEi8XOjIwBtcgLic5CffQnrEGyyIhKUIGFxmV0Nz0NsJYiuFgXGFX2hSaa8LWTUKAdw44J5SqArnJnic+5uv6pIW94CktWgPfFhIMnmz66nORqBgurJU04UTYgBSiotDrqHgG8Ebth2mF2DXKt5ihImk95o4k5tLSJFZsE+pw9Y3DI4M5ec0grAL8dhYWwBXcYWDOtm/k+Ae89rU2PyAoBOqzcxSrs9sNSmIeEZOWGgiH7Htq4dxd8Ho5ZlXyCqAUKHI9n8Lz1fMqu+zlvz9f3Uv2ZX/7+evzQwNL1g4zs0ZNxV53wf0ScI4EYsbN3HQyG4dVXEb/49/obD68xH+vfo1k0LrLQ8Q8Wq/qqqzt/XpB/d6Ea10t31XWBxXqwNja+LyCvXpcTHBsoyU1YdcVcGB9mhFQgKyrhWjKA+/8dcDU0xtIQqyjiATwiBq4MpRZC+O5xq5o8R7Z1MNjk5SKtecwzFli5w35LO2rlkIJgU5IJDZT3XSNpwER4emPT4LqFWhgtCsG5armQsCICD4adRzhhKVz1FHkoVIWoBjNERQGE5TH3KzlOmzAKBRKXsjcfOUd+g+Q888DSyzUHL1mFTEmuan7P+vPL9bvH0O9fn89fpVfcr29+v03fClSR2NJceqEfqumLL8GbrOfzVff727f3t2/P+embfv7mX+96u7ONL4vS1UTDPcTYQ0zhfr4/xfebb+P3W7d0C+9v+uXXr6/f7nnO8/mMi/P2u5+3zUusrhZ+990P//bf/90f/vDpu0/16eGH3cxBo6PpXgISwizOF5wURNLlUAscryoNgkbKmQGvKyzgu8LrbIh0OJgoVoC6XNjTxATHCiVMRgSnyurnzNpJLwnNP/nSgoMiXY/JW8olE5wJTvsrziSlHMdc9W1O5sK/njF4WPA8o9wJDTxiw6XUGtgEAY0/LNEOEpO/85p1DPNgr9nhY9Xb+T01bEswcEUJiLeKSyAYYpyH0irT9/MPHnb0Bd742hAXNIQUw6TDGmOMS8Y4o8JS911VRFXeacuYY/wRCmOYraI6QPXslWObg2MljK7IrM6YUldjEzDcYyy4I8nHHkFISJrm6sL3UZSE9SCBLn2U+uVLJ1McHiVCZijjA1Q6gkml/iYclVb3QOUyoGs6/478nPJvk3uAnahZtV8v18uQlySjdIpwYde2UFQxoo1GihOK4II7mfKRmSAK3gAVMUJLi49HnEjcUf/nuNtfO8j9glcGa2BwYF0uCXbPijeK4bFX3Eck0SSsP9HM+mLXYni1yz8+IEMLdunM8/FWdrES9JenAe1NZxpLZcDuqGzAZJBm4CGZrpkdoSW6ESNcFnhCsTILSc1ftMhBaNL95zxAegqChlAC/wpgiRL3dRng5vrsSI6sG85wzkU3FV+HbRKVR3A1WwNL95Mz99z2TQ2EyG/71roPQyaUbtYcMogZrQYnW9uy7IjXMknaXbnsDJCoUX7r6Fmq9olVqM08u3l7NLmViQFUnr2+xp6RsmuNYjuJzMcI3wlIcRpzVehoCegaQoKYI9QnSBt36AxRJaEFw/LYWuMxnLae7s5LUhueELxVCHy6EFAO3JILqIboO8fsMqW1KsNNXEx3dw5oRljiqip2vYC4Ou8ZSeCKhKxcVoDJkjtGS8NVzSLR5aKuKK1hXi0ylbBkdfNRRbLpkHesIhrgo3hdMZVE7Ix4O4si2SEJER2LGU3pSvXCpyK51MVGVjaj0tdlbreUuV7JnU3kOkQZgFIQYSVqDlngzym5k/z+zeVr9/XsnoiF3ThxktjFfvHqZWtrU7oY6Vcugf3Dx2jZz3MnhcJkp8ABV7FL7HzNubRhV0AxAOPB7cquZpNDeqDDFbRE455s4JA0c+Gb7udzvr3N69v743O//OXLy7/5Dj9AvPmUVMS9EGAixmiEvTJV/ggMQPi23RtdRPqfjrm8mTGehVKz+kFW9cWLXVUs9lVX9YVqbsVvLOz5QJvOwXhxb4di6AYX44o5sHUILvZppMs+u+MI0ZFPm5fOYo8PPlRA0lZ3Uo0gInAGwNkat331KPiytZsecoL6HlS3HdmPk5O9OAZXkgbguVC/9zqwpYk8mwPTujduZUIGz5Ylr9w0P3RxmxRPHUCewoxkiSIhAXHg5JIt2N/ZNHAxgOzHYMFM6EnBM9AqdV6RXLjeeRWIETN4AdM3hgm0HU0dcSW4g4jhDb08c2En41RPJm5Bxbr/dP/wd18e33/59u3b/evgjc95f1puJltTk+PkLuIl5CGhzQHJeOX7dlFz1z14/0U//zI/3aMbLN684WsFB6gUeQOdQta+Yb680l/dP7zjJu520Tfwy8/311/fv3zXnz7Xl3kZutwul8aPJl3EdX3607/xX//d7//hH//xbz/xU1/vtyJFfAD3ltViINIFjDZPoBD/FCMpYF3WyKf3BLgyi3uWUMExETg7qJDleyPtDOI5Mhqe9BcaGQG8rw8zdOT8IpFNkqCtRhnDxMHEc1JkvJh5HTbkLTgoALAd3cA+YcxqFzg1J2WlOGKTw/TBEi5sGgJxTelCRyJwjOZZSbPR5M4MsF3K5Ohk/+ZdTGQljtu4bLHN6YFxC6avwTxsl+/CtVFCWkcTKCh1ijlMwdpsqWsNqd7Mw6pknmOjY+T4e2tc6Fk2LzXYZOz4lDopRpC3ITO1cJosP6tNAbv2KztZaZ3aGnO03dABJ+OnllM+uzEvgVyyhgxrI0ZyCiFWb4L7A95ihRNdBLcYObeWxAwmLANUb3hobWj+UcK3SsgeAcruS2CKKlIyCbjJG9Q+Q4uFJ/87mgp7/2USKxosl6vou6onGW6B2BO7o23JoIWrcJM1OwRgcwSxizWDGgKbcI51GdgZklN5kPEVYWuASf0cSEyhtQi3RiuuyaUeeVhuG+2fSzKe8sD5SQoElBRHCuYNdwL8R6T7oZXnnx7GA4KTceVvuGUbsnOjR3xLU9NLPHc2WjC2hKwABGYJgUySq8Y6nzjY5XT/rjRuKWylJKlD09sKwOcneaViB8aVokrteT+hUkJ4lCFfCFoZAEpgWcMCVQN32U85bqbzdzAdlbQ/fBH5hSJR2wkHkcFaM0ZBJcfmTiezBOqCTVB3Vk6rI9fKRHfPCtzojDdUXL422jci/gvBmu//0DtcqWNk6Q3rRrK5aLqit0AmOolpHhod50vbpLVNv71n5zDG9E4uZWEMVl3pqu1aRTIHGVYWZbc9N7HkQ4nwzeowfammTiB9dG1oiOo9OIq6o7HSDOq63OPZbL8q0JeAC6DcBc+4+gifq1QrHa0YJdhtvPsiBW+7TPD1B1iCLhecWobNpRMi6EGBptQO55T1VofCjnwkyE/Er0FLasLiVF57FZGzIi4EDzs0rlKawhu4ss5FTSQyerDcSQQk7WnPlvVgR0S31vVl/SxWw5HqATi1EeApmCZLxXIVanGmnJjBYGhoRkSnWPBy4pQJKbFwlpq2dfNAqF72K5C8rwB0m0OKvkP0tVQLvKX4fkiCt9U3gBLrftPr31w/zqcXfP633+F9vv2v3+6verywVEN20jkTTwTlFUk5+UC8SwsKY+MxDWNH74/ZMf9BdsXrVpTwiLN9JY6nQ6f2tgOg5C6XE4Gyv6O9UwWYuJud/BMOtisvewcdF4l6jMXafFHPVK1ab8FF4I6Qn3VbeYgXUWKLJ3F4UaPOxXxJmS+oPSULOf4XSEdVYKHc90C8S05lwWgDn9cBPs9N5VgME1uBulbhfLL5XEiYbatWGBMy3XX+xiPsIRghSK3TlHGLd5yImSDPPwKY7oKiKADMiw0NkKDwRH4cYQOIY9ibPhEauQLbcON8T8rP9f+j6l97JNuS60BwLbPtHo/MvI96kMViFUVJ6O7B9Pz/f9HA9IcZoIGZRkPToiSSqse9mRHhfrbZmg/Ljl+2CEikmJUZ4X7O3mbrOaHlY8NxAVTaXgZGXC4X/K6vP76ydb/r/a3uR9/et0q7GlKXQR5FRu5Gpp4iBBa21NnV3IcyoKxb748bfnrjz2/18YEPJxNFdBmkdYVVBkonfr7NXG/dN96JayCXkLgIbx/H168fz5/X9SmvT/fL5bJYxRWiH1EQsS5fXo/f/PqHz1++vf71/WvVKt2bCHQrM1QVkbWJ5QcGsDdyWKaCUUL1jOQgxDyba+3fIHTaCcenmNQOLQKgA/bbzpWjkT05MKTGHTYMTNgkSI62nidhB6FmpQhKHWXgzQ9vxOn9MBQjmAwlMIH+c0wvYPu/PbfGiGGvNUYcWfHG8283c6QHLHmmD/gPGsWUAJxWW9j6g7amzaEbvmYMaVHRGFciBV/+JWnm5PLEMp9mn8LwYUUc9wlPkBMZHpw4cm0nWauDWTDdYQljQaQRx2CEwXJ2KJo9DkfjUL4VW0F1kSxhCjfVpFS0nRqWU2CjqEBEqMHkhpY8yuIBh7kH3XudHvyFk72Gd5rB2GxQuhHaSwOEQA/vpzOPQOdKB1849P+6BAFhmC/cWWlgGGAGyOh5vYAEdiFWRDrVMIWzcCRyxIGz0HCcXfD34wiiTCFFupT98ScNAQyfQTCsHigKTWZ0+V/JpLU/MmFGIBjd9JfcpnOdadOUTyvHq4Z/dV9Qw2+eQwhpuVP665/bz+M6oib5huGd7yzsY7fSFpNWB5afXEDlgeIMnnSzSnRbQGOqJVA1D6pannPa365olW0LASgmuZOL1aD8A9AqkcrIAkMl6w2Ecp7gCBkkd+02kQavKPXINc17oEYCajBQBuB0mvyAc1CHjRXDxGF4AAT2POXdMXGqjW3W0f8eKEVwtso+iSTXKcvo2QDZQ1a1f/v2VJ9WFQIBbndACDHF6uiRMfoOgAfIqR/RLkdAevU6VVz+ShHoDaWb2OFop+qI1KFIDEXJ2f+EXc69bBVtl7b5PTwvYOVWR3eSzRZWs9fiSf9ZdRkTmi4QDcf7kPMuqKFIDjNriIu2eiMQ20WChjUWM9qTu52qvS7pSJUJXOQRVhR0VHdmohW6MHd3lvoikpdWwZuF/TNd6nQUS+CF1VUVmapKRQ3EqESijwivnG1BaXLSbfZAGaQ39fSNbXEVGxY8eaHnvzWEyI6Aplic58W/7vml8YGVOOWiQKbzhzd3y9k9Xtw9zQzFYMpI4BmCMfpwj4j0KFdUuAgvXDviuNUQtDRPCZ0uKymVtuCIUIw4IyBk+OqiI50CaqyIZu/A0E+2sAWg1YOB8Hw42aklClT3mSdJetpWVycXPBBhoeqC277fVqTw0k9/+FwM/R/fjvtekRg8RzgTKRlMVYExX1t3IxAKp4PZ1j8jbMyYaFD9fPcCdA+jWyzxy8FKSkp5gR7T7gCNPco8TcQayjGYSYvA/Pt4+ZpQq5MDlIzQeWhofzDOPz71uU0Et5BqNjbNrno07IEdLOTBML3mqdy3pUSww5JA/9V2TbWkXfCR6TA+Oee3utP/gwHILpXtGrKATXNc7tG5+n52fgalmEBQqy3bAL2Zdd9uSJhfizC1x3ERIRIiIjIygVhpa0OTcJUa01rCMEQdQ/YRaerlxMfIcwiYLT0xyQbeFueQDY8x08qkyJV2RLhC5JLMwKWffri+/O1rvl521f2t7h+1347Dq7F6V3XvhordDvyLR5pAQ7mr7nt/3Ov9dry918ebfn7Xn3++/fRWH+VcoGaB3WQzna2/28+HWhIyDvAOftz7/ehvG7c777vuCDK+fatv3263e9/ej963ezm6aKtdu5Xo63rC99+//PqHTy9Lz6xQRyGcxa9t0aU9kW50l/NZigHRHbTtZviRcRf9gPhnPrX7D+6qRRQCa5Y4lMc0RLnSFrPjttxG6vgQQS7ExQgGEM7Xo0/SEaHYfVJBjiu2J/XRZNAiwy+qBRbsmXqhULXD7y1g6bn2o5FgGkbzPj8D/kwG8nbQXqet3TALQnK4vgG85vI/tbPVRAXFmDRaswQ9ZJZ6xBbn2+5xCq3yM4upgHET+/x8AJh9CuE0srUIKzaY/t2qLGg5//ekqOJpjBKn7djFa9I4dgYosHXDF/oUcIzAw0IeJx4Iok7vcG0IHd3pRC2cIiqvTjK6YbmgXcVO3/IKGWEvN5J+pMRQAqTsMQPPSjJvbOfnRjAxPoJC9HzxTZPBc8PMlkAALhQlQBV73jrjZzloak/2m0OH/HGd2x/VUBkfH30OAlTb0RIKTjgPg0xEZi0gwq5mR0l5Rk9MV+uslOxqO1oCyAlpwVw2ttzBqzno8GnrhEZXOhYNQDMn+Hp6KLJ9Ffu69cJRI/zBCH8E+Qdwc1O3HxdKCUdiG1VYquiaq903HNQ2knYJzdhgQSPTkqzeMkU98wCo7WNBfvdrTMfjYjb302CdHExRG2qwE4JrR+d5CASi6/F1YaJVSCsHdQ74kFFmIMZnbgCxx3arllDqA1W1O7AFdKgngnyW2kCtKA34FzHo5ySfCG1dIrqjPEkjHJIe0WeuwUCpj4SSEX+frCXT4fFom8FUkKq1ZgvS7NBSWbIpW5rjcUwAok16pQJ2swvykFXsbmyqo7rRNhYrBxnsnKm8bRiwKpeOaDPaSc41iu6RcEnIjlPi4Y02kjbb+8cKdF+aqaBjJG2PdSkfQEZRvYBEJysEBGIZWhWnqjlW81qMvbJXbGmn1Ch0x73uu3frdvQ+dh0t9jg91Oitvou68FAosMmdUatb4Y608vLpcSPHfy0rLUlhUVQlkf62yh45xpiXDRCM6I4RC2NdSwUFbZcAhA8vndAsKtDyFDFPtX3oo/XxM2yFrqqlDXSgSyh2W9Kn88GIOB/4ThARMTr3mAOUClmZZbHJEE9JoNNf5inE8iPfPQuUwyVOYNnoqoV3dLumABzm5VHb2LHf4RoOz6UxGjoS6i7FFlXCRtTG0YeE4/3WH9jq/XK8/P7l6XefsNByv4gj0rTRJVOLHk7TA/mE6k2Zz0MaMCYIA1KYzJA0Kh2YIHTbP4xYyShyy+cf1Wj4N2nPRieG2WeXV4Iqk5kD5chSUut6dYKmlhTCoXSI8giDGaQ8EPndNiwqBXKehUHN6N45zlvfoNZu+IUtVI8gfahbiRuMM01sADmPREYwUOX/RPnBh4nbkyyp6EthO1Z34F6daIIGjBwK42GVZIwWQkxZtOfpgLYydsBtck6bikgTb0kvCzSyol82J8UsjiQtEDHm0KdQrYF5cmnp+jhG7Imf2U1D22FW9BgJR2ghVvMeX/Lp90/8tQrH7V7vP9/2XXvvuh0tayydweDFpIIrI6juZjd39e0eXJFl97O+bfz0rf78tX8+4nCISbiBKEnPEumfeYLXEtDuDUkH423vxbzExj2fV98vfD/q7Wt9e9krb5EvF3aSgaXUrg5Ec18yvv/y9Ktfv3z35fqnr3slQpVIMTYc5Rx9Ar+2nVR3MNViEsf/hevHNHixWYEU7DcZ4SiohaFgPP8pEcNTt+UyRn40WvsB6njCazP3qi2mw1ze3gs870Jh9rL8LRODq8uhs+nb2Oyu9fxATziQzyeDTm5FMhjixdxfhEOimpE6CQnRGjsZqhzUsIVmpoHGzVNR94BzIwx+oyOjgrI6aESq1kyN9px2eoWFDkSU3XhBhR38OTAmjYhHWC2cwh3m0AEB5YHIbndK1jfhVD55aGsjzdMtu2Wt3vAvUrkQk5NgMoo5+EqwhsmgBmcqhmVHRkMYqa0g5vO1nAvy6eABzcpDJsel0SN3RQ9lM/gY5kyVOx4MlqQojFzIm6NPtFBJIfQamYzFWvTshccBYRzHX3KGk50CKLEDl3GRAZia4CG1gQ7HuMqYrJVY/retIUaSABOUJQkIaHNT6NjYmJsW0FkWwOLI54AIK3odKowYRW5Lk8oOtkYcQMA8dXeQk4luPtcTpfeTyd7xtm9K4lQFdRtQkfY06cF3wMwITEbSr6GJvwaYrR2JSRUyAmANZLT8RZSsZPT31RLQHemrNWN0If4aTqRe4x0hho/zyEE7hnvG3Q5o+2GOE2LDqK4Q4cqvidXRsp+JtPD+fJWD2u2c7emKrBoeL+VeCucyKdRd7oX2gz8k1SgW2wD3PFGG338h4j1+qSsmXczenYl3sfbOY7uhcvDkmh48xsao45yn0gts0/GjD9sPOJkzZRgK6D5zezojqsY1312L4Qpj+/oI7310VjwMmJNqpr+d+VwhgVy0iENzitJ0AXn6RD0y9nA1dBvTKYNoWrdrkNnIONnLGghipQAGruEz31XgPi47I9be5XYjsJVcF8S1IcQqJJmNiIzAuixjqmRUbGxscscRt9rsm9RUYVsjSZCsjXVJVMbMV7Gij+4IdIQVY9tys6BBx26KmTnYABwrjvN6oOg+XFgE9Hjt6bevq5SMk1KHJc8GpTUn/IgsR6XKR3QtSEudZ5lup0WFaQEDLWaL4ZGrAHOaxq0IiKbQfbJCdj4UIlvnS2B1Wltjm3M+9Pj9EE6IiyYzLy7rszzXTRqKQrMWs+x3j56ioXbQq6VqHcoOLFHkAWZ0VzGz8wAvzf3Ra8XxTC68/vF1Y9e/7OM+lQjBqlZkqIRFqNEMG7ILkV2Cyo1Mnvjk/h+NSckL0HxBpjINUNJv6InvNYPj6KMegUeFINp6r8dsSrpC0s1B9IqDPv/50eSZLjHYAQClHZA650cweBGmfZylQPJk/xET1J5yUDFoyl7Vq9sMPXqUC1KHWicka+kC5LINw/sWlZ1QhJ+9yaaD4fsAhc5CB3DOcv6lcJ7bjVA9mHqjXGNYRoCxrBSxTct/PkSLrsYzzzWI4ZnHPGO5R8oI08Izgc3h6G/LPJDBST/knrMm69/TkV8BMbKl5eZEnhdkYHVUZ6aaxWd++t3L6z9+Pq7f6qPff97Hu45vt9vb0Ru9nZEaIxwRVDmGtAsLtTcP4LY6hWPFvu2b4tt9/+k9f7rjXl2+t8q7ojaQRHURQARJrrw+X0J93Fp3fex+Et/jeD14XPBx68vi9Ru+Xffry+16wWVB4iU/zztGQXVBHh3P1/Xjj6+fPj1frh/50dkogYsxkSqcPHYbgiNges6X+fm0+4GYywwA0sObzl7phHVfiJHKQ8618wq9Hw4j2obCcRorwq7i9BWtULTv4LmZNBIMj0aKHk08vZkbhQDnDemYlXSON1PkU2HiObkx1mYr9FQaP98kIogRqRmdWvCwXA0C1Uyx2+ldZJW7WR9CubFtzpvxoATmkR0JkaKqBJUBQXhdkAiWMR/6BW10imq2xzwxosuqCwlVXISFUbPrCGh0TBZSOpqRJPoMM4WZdpu+HESoOOOaZFKAjvJ3jRfgb0GUtOL0WakJlRgoaYVX6UR0Ymlh7A6wAEnzVcaJOgAoIKQKJmfgmO/aIWPGzDWSVwPH6C5k4JTyjQ5IQgmhqOio7nA2soAcNhDQuD4nhZl+BgMqq7+jndrcPtcHU+MgQWp29ukRsPtJZMr/cY9DNHqP9gClBi+BLptHLW+36qppAoaKDAe5aijdOCVROhdZ51Na94yyaashaXsJT0apzpWyTwf9oD4YwZOIeYctLwRU3WyunPcIgIsiym+yd6UZXpxG7oE2aX0/JSIqUH2iRMFqsaayw0kyGBrqZGFSUTyPvvnlXE5BgzVRLaC6YmQBMpBvvDLnNg6wBhkwD+isPG/gVZS1zJigFN+m/KV9AAztci5RYyDTRDskydeadToacZwgDcKEjLBtyC/6SAFbiAjU1uAZYYphlHlUdteQxAx2grsLmehqF9pCIZXBKVf4sLMNHLYqRt0o9Ngx+he1gZ9Ln3BAVAkMu/BHVwBM1+KZOjkc7ND4gbD4wT9HdItYQp+yTEZhQlDHzIBz4cR8BbAdoJ3NYmQxMgRcInoSWiIIJ1xdOhWQOlQntRoRio2s2BrAFY1e/fSky7OerpfXT+v1C9eKy9O6vlwul1xXrOe8PtvZi9pH7e6Kbuwb7h/3Lt02jm/7477f33H7dtzf7scmjtofod59BMlLBCvWWmInAOtrHo+qf9FQzuY2J8hUtJgDimiAQk0KFuleOAhk95zDPQEw83d2e8gWFR1lS4xrYAZ/8NHk9UBw3ptbt5hDg2o6/uZmJ858aettB0+IoVa8MMfDI1lMy2DD0CoipV7TcDomEoKoIdgjYofSZKyzjrKsiTZmq8QZd38qKCnbIAwbBmmY2/92FA4Wdl+XunN33G685MYF61eX715e9tJP//2n/hosVCyyuhRE7VQo1dVhZwCrxQsSLZ31LGOuGjnd7IBe4VxjSqLHwRQn6WJbxJwgOPEh77sGwTBH9yDhUDslBY7t8t7lW8IeDlq4OO5IDIfge8q0PXrsAlYPU6fXxzmhwcwyBGf+tctnwBLVHScH2D4dGSFtNz0YSg+wegecC4YgsSdAZbbSQQ7haxdgt4EhD9ooOaKOALhoTHQxJaXZwUZEcLAxH8I5X46BAQwEHjSRSRto3YXCYLY0MmeaLuVpBVtryOtJFBN40mQ+pD1PBBMQWk4NAwFGFdbgGta8GhrDncpUXXD5Hi//8P2Xf/yuv7to8+vPH9/+cr992/e3g4J6l9LiJkoh1GS7EMFuduIAbhDuYuouROm290/3/ssdH4omImNXwVoWb2S+Pu0WA9aznr7k5fnp9tP77S+NO+4Ban3+uMVlP2fcitfN9w99+7avL7liEx0Rl/W0ngSqD8QSeYnFz5+uP3yXT5eE9tHqWKXqiFnrQUNikajCQN5+6D3mwfegafpJvvCB5otOc64Foeq9ckHgKf7RFtQtoenkY6tGw1wdW5HujmlPghxTsU8j51uMU2DeFrvTp2twYiy8rfh9HDDlLK3yERs67QYcLNyoXkzYsqUggiaExbvyoJ+2FbvawCsGABiPo6Agu3lmX1ifMZ2UAaT5VRHW1ysYu8TZ7anuIqJTYz8zCm4jmOg5zWO4K3Fn22C5f6RtwhRHr+RdqrnHc4wZY6kAy/YcAOVhh6MFIkhXMo12J6TtO8eSAApdPpoAoyFznnjTay8QJEqj0VMrKbnWhye+zhYcpXPmXsyXOy6S6DGmx4lGSRDlGu9uxgRWUmiR6WgYnzsR3C2aDOnBDgwenklTzuQ01B6WXRZFHWRWmVR0ymRwSBnDHXT/gUdokwehtBIqo8PtshDYqOjqbsFZyyQ77KKYcUlsKf2oP9BD/vL1B1gcwCbErZPLsHLkXPjUpqce7lTjT77GzCnF6LaFSdXlrNvtcxWhCNclCVoO6KN6EcACiW5/pT5Gp2LNCf3CDmG3TgAL0aWYo1tEYCqTDf2XK4XopHKDSwIclSPWHN5LhWhEqwxDTWGTPOhP4BZJv6yDwTPCwhqvV4+PS2ah26V53gFqBhMF1X6UNddd0m9tt4M/9BiT22uSoJFNxqyEk20n1PwdAKiY+Nl2CW6TQM1MN9cdUJZY+PJm27DsfLt5FIRqA4sG9ZxW6zmE2op5wsp1YIDxMyMFRsaqEGlG0RnYs3LTxKS7PVmtR8b6yBUiPLL4AQtFhM7KLqv+vUqAGokIQCUxSRZJNZS22kUH3Z8qnLacVI2AvCKXiOzaicbiioPBXHn9Lj9/d3391fXT99dPX66fP18+f2FecL3y6cq48pJ2g+8eX8u1RXVXpZR97/vRdWBX3e+4ffTHN729fbx/6/1R95/18e3+/u346duh95v2QiGTLUaymxfIIVYdrFJGjJ/DrPk0FLaVLWVjn99VULbdcwLDGCX6mA+iVVIGWS0SCxSjx4K651x02S5GbucDkicWL5GokkWUo7g5j2gNLgrSHro4Neam2620azGUKXCe9lH+owVq2/AELPf+Acro3gNlURXgdpj3mGvQHSskx8hC2di0QGzgKKo9IYdYnix7nD4VRdbBzigpdvPGQ4rr1g94/eNLP/e3//p2/HUTZkii1U1yj0m2YBdUXFLHdotwWGLtlzICpRZZit1YKdARljEzhGZun2UrPQ/HeYXNftQ04UtJ1Z2PRlMjL75T1VbAlicl32JjmvWbCXD6Qh/cKGDXS0fkjCMa1M22KmwO6CV0l6qcxLaqlD1VmaMXmH+Jsj1ZANHaHMy1jGuCpzCDhl/P+V+U1V3m8mkkKXJ+aNl3NZS1G7ydo7Om5WIC8ySTDjahhxFKyrEelvZ7lAtRSo8yOU4RRFLFTiwXdw/JqIFGOD32oFx5lkY2/MXlgDcWryCj1bOrK8YpLyHIF+WPl9c/vLz8wyf+wLp8HH/B+7fb/e3j9tO9DtXeEqK0PQcGu4sOwADaolGhWncH7LRWC8BH1dc73w8dQkdKu9WhRR1ORfXjpApEbhxr5cuXzJcVlyfVcdTeWyi9tfTGCxVX5r3XbX990/PbuqyVd17ilhcc+SSSqzYT96LwdImnp/z0lAaCsJA9YT2D24Age6NTp+4e3azeVEagakw+huE8j/sIo8VKYKOlENhdudJPka1TTqo5iJCT41B9bj4NktkoO/YJF8dHSpuAVfxpn/+E0dK5yRagcFoOfR1xUESOyt/vHALhJl0bdmHsdnIyRitj/48vxnMKP1cHCzJ9ap79xDNxuKhOMCVeptIepwBkrRohFpGRjF0bMaykdRIDEw3zijEniYbbJsTRi64kF2lipCGF2ZJOXydCUvk3mQNGbfGfn/OHsiLsbdqOjQcnDcVUgI9XT9AyGDVLtEd1+cBOb/lNslQrnLIYk+AeCEVhzy9mcrx9pCFMAPkVllMvGsExY1TYNsaB7M8hZGpc6d/WWoOebB+0YH2Ff/6aPzikbIZXEc+GVVA2rUSPQMUKJ2HZjp0cFGjgBbeewU5uLHTtWH4PjBPH/FKFYnR1HaEbHIyWja5WYJnAwkhvnMlkkgAnIDVegeFrMQlVMaXwfIhIDEN6lYshT0jDK+cJDri2/sTyMSZNMuSd3kK6ItTIdGphzwA6de1eEkmjW472C6qqpGirVa16wEzf1mruBlGBKHRQcG8wy5Okf4UY50d2a95dnhXoDiLQfLiTJ2/Hgman9VBEtDtfTmIL56wxuYAzLXWRKbIotDLQzv4G1U6zsa9vzrRzMrM2yXwGuieRIk8zpu9wnGFT80Rb/cih5ngCiQZ1A0RjQKCBjr0GIM7TyVfY2H4xco/BjGtsHlZhzwDI+XF00kzW26k0UYBR7Eke9ILie6xmS5x8Ap8DXrBp4b8BXq+xkokUmGPFPFHDtenkldvcOwiXZniIpZt0I+XtZalD0eqIdrprVYvdl/uXl+vT9/juVy/f//Dp+x/Xl99en1/W00tenvj0BPd8+Xdu7SC6nC/YwlJ3XiMjwmL6F4EXtbrXUZud9837R97v+7hzf/B2649v9dc/v3390/75v7///HXXW6CAtiGRqVU6BK4gums0k9q2AbGT2O1nv3uoy1OYxUnIYGJyXUmpwqGR48LG9E8B833b7ToBNQr9Miyq4XuoZwFNGbl3QJ//AvHEruebsvUs5RITUohuG4zwAOPKeQdWZZa/+3kTZgi0YjuwW2RTEaoc5Kx8ZMUoGNUm4jxttjBbmsiIgvyXjv/CDxSDvavJ+4HIa0Wx4rhvXNcK1m/75fmZz/z452/vX7feSu0cK/+i7solGCkdW47OMvSGbCqDKLI6Rv89h2PnXDydCK82MCUVosPu0H47lerZ2KHREXCt2RJ4ntdDmo3WUQAa0afgLuAjCApkG77yf64nZ9l7w6n3emjDRnYhJaPaGlXbPhqKhallTVOOhsMdI+ZnQqieWCt34AhyBdecFx57YqpLbWEPf74JKqJ6tHCYS5wIT09e7QI5YFO2Q7QYgjJN72oknGYuCTE85ZA4g52GiRis+OyzT6NFPvIbs23QBLYyoxuxJq7EOroQW9ouugiPOWESFsDEzqmptS7PT5fXv/v06R+/xN+t/q6a/X57v/2E+5+Pt5+OqlK1DguHDlQAzmWaWeeElbqPdTexHbiX4uhdavK9JCUWoBniyOioUIgTVJjW/XlKfr5cXinh+kn9LVTaxY8dWPtyx/UtMuN6wfNHf/s4LpGZO8mIS3zcez0tKgsHju7evZ+fcz3F1Q2bVQpihcNvVLtZEa5M1cT0GOIbt/DAludc6bK3UJTBYTRaFZxVVki/Ib0BULtqyybN4NkuEBMnOedEjNiBGAYgpA2TpZa/I4z/USP1R8hmJOfFRJrhk0jzq7BQ/EFpZaCD2sJQsgTAxy5uUojG70QSNWNKTxyPDABPXqnFAKMX8ERldG/mUs09n3NNIslgVTHszp+N33983MqyQbelkcKQ0d1xxj9wPEo6owccsgL3/kSwuqP9bkf7Bw+JzGoxMSho2JcxUn9DAw4+gCiURmXvPLlHJusZ2T1Ycs7BpnYjZaT6jJmRwPLNNIuO7HyU8SkTC07saB84HtnEEfA5GNdpQKFu5IDcDw5xnlCPv5hqI8NkDeVQQ6DKlpaYtCqiY6eW0WMb4WgbATMs48xRReAR1RnS2K1l/dmEFTuNbaxtEyGvxj7Ut60CioXTgOaesk7AhrJB5DPRVZaoiWzV4iJR84h2zFZO3xrd8KwXlkkRJYcLOQcLpAVcCGj2zPYo6aN/7uF46KiGV2qL7GKR4TeszxXE8DMf6qBD2I1oe3ZCp7Pe9R2oka143VijODzpP877NxfbYN2Wo3rbmr/PuqO5BWHPbhOOJDQ/Xc4L8C5VdHaeuV9KylOeqIhgWFSLoqKLcsyiG42MHY5Nx8wBwEeCke8VerMOC+NAao+iblbiHjpNXVTytFz47HLKrqzZke9BsiCvO62OGGPt2BgURefq2gDS8kvuY0P+VD3ejVQTnOuTYKHRjAj1pg/fks7MWwt9bZMbjNPvu3+3oD9HVQMSl2O+0/fdGPMJYRLKx7blPMMYvM+9t4IyrFcbDJQ2+HjsCHnCLnYE8/r69OPffPq73//w4z/o+x9ePn3p109cF2Qgo+51rIzj2DxS1HGrkkuhdeszPSKqdI/FMMAUukasiMuKS4oXvV55f9LtuFXl7nhvfH/PH9+/q6+Xn/+8//ov++d/xp/++dvb7bb3bm6hU8v5pzsQHRG7xBTL2xQU3vjCZYJmfFZEbSNmjL0rQhPl6ZGtdyGSYkaj+2Ss2X4JDMk4C9VngQZ98X0gW1N9E1JE9QQKjcr6XNIwajBa1lnNuEia8zm4DINkThwb5qZ3LGpEH4p03NFomAjzV00yUVXoMOk+oaR+AieHsYDoVqrdquOwAbPGkV1FUp3IZgdL3YrjOIK52Y3QO6j4uNTTd9dPz5+ev3t+/tf77V+P/RcbPe49yaaGHtRAZLk50yONNnJ194reTVGL8zmezAVH9umh9ORbQyjan+c7t+Gwy+FxgVCU6pTw+C+KEQSCVm8hgXFmmtIzbg02ClpQY0KCBSX8mjYqYKUgxLESjEuuR4yQiU2kVGKvM/2gOFyFjGCUrCuzqQTgoz2EI4GVZYo+V9UI2J5LJupE2hLatmxankOVYrm4J5z8FB6ocGF2kqzHVoNu2AFkjlUj2rGLSMaqjFlobHHNOvWKNLxsSI5Aky6SUhjaZS/mSdqgm8nq0RAJSlZqFQ5FklBHobGYiHzG+vVT/GPi73j/YVdUHohbHH/Fx7f97ee937U/qoFCoCQtsRohB7CYBSTvwJ1xAZG8jaovVdzdDe6FvVapqlFdndEitAoYk2dVByOgWFXQUUSsF+bzc12635mKb4lbhTZ4IzOeL3m/Xt6+HlkLYDel28vLWkLFdWUf1b3J3dG8MBeXdHSrMxsoVk6AM2H1vmECQExsnStpoFrlYWHYl0nvQQJFKRlkTF4hZ6xIutMYKuSoMmgJIsLym/AWOowCT9MqtHtwM48lVpTrBPKUNo9FtbiAbp9fPDW5QmqSTgIj5LXw0Gr7Gmk6Bq9ugKLR4uFEPLPOL+xnkwCtVPWmH5NKDQBNhbyFKplbwuzAmihhtWrhdGuW80DdxeMU0ZnKo8ceJjhtAnIbV5CWiZ1htxQV0Q3HtkxEkWpeTjLRgDrM6gIQu5DI6NrsEmg7qRUVdi10M0OFRvoL0WP+s9hVDrKQQBxQMELukAqEjMsxwK5yFDpAUyYLTonUbvfWp7WmqG3Nif3Ew8lBXTk5gxxSWmf1pM0yaFQvR0UtRjfykWYsMZ1IF1gzZWJLkpuM+qFb4LLVIaQWmMKeXicfZvDS4WHFwIOtoPu2L1cwAisCqd111C7pLmmUpD3RmhEZbGu7y6umv3SQPcHk1l4xuApKWO+evpYUbYcxNk7/+7hsJPtQPN43mVYTaUBEjUYRCEQ3Iu2nOSniCG84sKOebp4fwtduRQcDAMGI7mpFHxWbVRFsJu1v6yAYwd4NJ6c7J7Z9pixIXtXDx9XJVbNaaSc3lIImZsejcphmNgsUZcTLe3xnRna2piWVfeLYnPgatUOVBKdnp6NpFHBm2L/BrUcDZKlpeIJB+WozMBfTAl4TllQnApL92A6i2ayIWKLOlE65eb4wxrjZI2r2KUrOkIuDBSW7DLK08yO9JSU1yWXLFJYZAJtm5BjDMzoBNEzt/3J3sv9NAioCaCI7ENXws1WUKkxBDcTZ572swIaC2T1y5eaMp8PuewAKdT/OIPP9CXZOiczJwYPRyHTzXFwOdkAZ61Vf/qb/8O+uf//HT7/5Ec8/XJ6fuTIOSur7R2tzI8TYve632nd9dB9H7Q5UHVu9e9fR3aUKZDQjgxeszOu1XtZ6fsXLS75csMgnvHJdu/bLU/ez6qXqS71+xy//cPz8r/v5P+NP//n6/td8/+mqrgoJxYxVIbZW5jYCJQFdNtpT6skPaCE2iCWWIw3DqIIKYDRqoky6JidaDPcFGP/gACFSzbhpi53p40JlZy9YQjWwqh/e9kUJMsEy1mnIyeU8fna9KrWsVFkn4TiMWcFwuZW86wHG9nkneDQz2Z1aFiM2kWxFCen5ssb2Ime8ep/O5g5ypCNkoJlUFyj00bk2I3UT1oEcZSSfuu5xaNXz36zLr6/r7/HxJ9z/6xt+Ln4L7jwKEazoK1Jdl1yGXaTYPFSZYjHuVcltxNJ+MZujsECEdT3+kBFgB20/44j2lUhka9Dkcrqkq2oiHDzHSIuDstk87bcdQ6ME0nzmuONBlTJ9SVs6UZW+mStwYRTazVPzek/iSVUg7YRQrBggZXRKOgFNkmd0HwWLDFZNJOMyYuYOs9ELWxw5iKOfJNq3uSBAK32jnNdLRrA18ddSPtQUZMkAZmTU5DJQ3nj87ECz/mieePtyT92veVYT5BhjF0XRTqT54aD0G2L9R1KIQKFWZG9NUpk87ExbPOPK9evL698+v/z+y/VvLseTL+Cq97q97W8/vb//BcfXfb8dIrFL3ZJRKYsyfTWH0pQrd6i1nY8DdZ8tHqJKq1nOzBXBLltRSAW71R0D0coVkLuAXJen6+edV+44sp5age598B39dI2f3u5cYiZxr97VR/RWX59etLpxuVbU/abj/b6PreqmLpn36JboZxUjJLAqymRtm5LzPNI0AmSv7dBQGDMJuVWncU4Nc4e2hm5RkKrbp0kvjTIjwobL6vHcL1nMYjiXwfO5HQHK5OzTz9RKr8JqIZY0RPcAHaPPGRC+GVwG0k8Pj8EaSU5awMgZRLbtMH70KAIlC16Ns0b0yeshIAe6hbW8cLSjf5DDoChYoYv7R8QtgRWafB/TEhKCKiOEMcaHGGxMHBe0fz9fL/6BreVK8MxBxciFx0DB1dvbaUXHSdXLpHFpG0j9N6vMUPikTalsyIULZ0ophSLTIL2odiZlDDjbgQvO/82YKuxWI1qRbDX7TJ90zx8IHWC2AixDoU0sotQINCJKlQHNj8KrL6lktFlLSy1FQsVGaNdIEQtgzRVqxqHLzolkdSUhWSG/3Lly/r2tWRNxCj6tJ5+erQGr5dCycDV0VBe0j+5i3f3mg0K1jBlZjSSZR2a2CgPBz+PjIYugoeLOifE03BOZXhJJR8qcXuyA2tkSGPaVflkGDBpO3IOJInqauDhCYS9aGOswp9o0m845GTuaz19uKLq0pS1u7MHfCQvlRxNg438LzqQhPPC50ywCGMcKGKhCQlIwa/Rf88t5YnaUlOCCGzc+FLuR5+4gWCz4uLKKih6MHhPdR8HZTac179TvAXL+HIlRjjkGY4S03jwHgfIRB6tnB6LVNMFNNIFIoAgUxiptfwkwqqBZhjF5QQ5gkIhhTQdZX2TLSw/k4FOas/GrPPEdAxpqmlpMr8w7GzU5IMPyeNKTVV+mSE+PjfNJiMZJQwFnRFBqEDpFO0DGQVS+bY2HmNFEQVkRHEVAWMBFxuRwiEBgjEIRGwcs1/2I/fzCLz88//4fvv/7f/f6N3/z8t13WJdjR9+O21/fsau6VUdQvO9+v9/33vcDb/c6at+rb7fG7papjixR3emaGCGNrInXC9elPz9fX1+uz0/Pry/96WmtXEud5OUZirosXfj06eX5h+8vf/rV/V/+6f4v//T19nP2ex353KjMbpO9Gd21hHI0WkfUgK9enYOhGhtkqdQRrS1Esnsx1IjoFlcXlrFjexsx2p1wfZ7XUcGaOC5nC0TTcRxzW5s/59DECEHOjMgmfKv2SHdHzOmGuhFScfRGBs1GdJKSCfSB40aCSAYPSyzmSEfplAuWQPgv6gmv5phePeSVs4UCRPZoocLUfmAhuvtQZycazGZFq4Q4gp3Nwsf1WE/X19+8vnyP/u139z993P5yv/314Fvsb3c2jrp7LgytCDQqCaEKaG6vtg2IjtkIm+G8CTSZAaI76KoIZ5OMsvcUbxLRy6EgIOb3tEZykioRPZpiDWM4r6KsS9XJvAGKMfGdDj5xJU8JpPEz98xmj6yNHGjb5C2FXu0YlB7l48wwGXBrh1BUEoEJB5hIr0Fh1IwMnKifZ6CwRdxaZozeNYCy+tlIkbpA44XuZbDLV+cNaqHzOcl7TIspagoZIhvIdfBoDzkCyk5QaWZuWL12UtFnGo33pkFauIFgJ6OzyNF5h2qjqGXmn8/r+neXl//h5fV3n+OVR1bfsu+te3+81+3j9vHT8fFTHbeb1Grs6hLcEhKwZMm9Z0QysTpqgxFRUHYilMRhoiVDZHXLxxR8IXmvt4wLCdZukWSr4vaxXyuRFU+4fl63P2XtPGKhOrqAwG03k5e+ZOj+rT+9zj0Q1c3rC4DLruN4r4/32/t73Y4ttVSs4BUl52FNqp05qwBUlg+EQ/xtO0vFZEuok+x5TEf8HjEP23wn0VUErX72v3JmjdpYZCtah92ZUk30ycgUwIlBBmRrMCPYoYQHvplzp9nvjJwbCe/IiHvGQjdaDxDGU5lZfvKbo1huVsCOG08/QY6W2agHIrrN7sM5mZvMSUXR5qSdj8TF7xk73CAPwPwoy/PSIAsEqaqZv/OUMDrVK5QtIIpts7o1pD040iD6yEZxNAoTIumMsfAlkuKA1iRajgL0d+D510pNN2G7mNX9nvQ+6tex7XaogsFhL4uWHlbo/JV8PaQUKz3hasR8UDtWb5QZmH2FJM+cNvdvsaNPfV3Dj9EobpCd5+UYWEJbfkBRDnjzYyPVQ6JgE/mOMBqGmDYsGXYSaTPVREQVyckwGCWsH7Geyh94vBpbGZpCFLcaLXbxuKm3IBwNu72AM5AtmqZqEBWNWStz9LeT3O/nNsURWEDFRag73djagTwBKm9JLPQcpD5v5xoymA3IeHoE0pPCoCzWiU7tZTfBABOL0BkEkjnMcLe1KES3DnTV7uE+fa/0IDSyTACYINVmSIwyxTJMrnkXN69NhJBBoUkuXJY3EP6IQxiNnDeEZjllxrFEvm5HXmOzDUcyMTcbzfDhpAitZEagrV2BgzPMRHbTztZR0TZJ93LL0XYa1Y+z/oY5NZWoso67rX7w5WQ1iOBUdtl8o4c03KeAn9OT+zI2YDbTeMSEbzYqHstdD20jWeYgL1s9Ny8e/AqAqWAyVjAp2tWdnJbmOex81/YI8Aw/Bx2dzCALnXZueCr0daVIobk07gNHR44HCPDwk1rQzZW70U3m+MzF+AE//N3rP/zjd3/4w+sPv1ovT7t61+342nXcefvQVt3v9SG9f6vuPrb2rY6to2C030BGtnH3YjtxyLxvkAciDPCQ+ld+rDxyvT+/9Pcvb0/X/PT58nxZL88Z2QgkIq98+Zv6/Ek//uby468+/5f/vP/639767Sn7fRgZ74AiwSTKhQjRLALBUJYczFUDtDxiT0/1W8Bqzwi5YRrsbkMTkO8s05yzqMPC/Khmp+XCo+wLv8u+foU4o92sWz+T+0dD5HI3gWz3jQDZ6sgkziInnnYDBc8IGz3w21HvR6lYgGWeaAlZI8JS12Buo/gLTLSjz07J/7dHTKsXqXApMtFV++AFwDWrxdUgV4q47kKhtz7ysi4vef2Ulx+eru/5+vV6+7nuP63jJ+GtjveuvrUErFW+bKBZSXpPgmf2rNaUxLYx3e/zKWx/gNpn7+jMEiAa44a2kwxERLBPqFknxI0CfIrO5eKpVY+wvCkBHgbGFg61wY84ITRZwwmOQjd8ktHzfzCXBQObTD/5INcZrg0BLiUqUwzYEIno2AZmFCb/FqsLiHz0YSKCoB3stLXX+FF6CvfjKTeCjpN3pA6cz9D0joW6JKjye4MOB/0Y5BhzvccDDFYluxPOZNYexjoergtalztnJrC8ERlf0yTsC1iNRkZQz3j9dy+f/8OX1z88358Sda93HR9dR90/6njbt7fj9nYcd1P6gd1qRZs3849EYoTwCYAdkSTazaIpUdXRGSQKy/BVb2s1/ISJS2cX60BL89t07Q/d3mutiAs+f7m8P78fN6CLgaMzCrwhcTxd8FNSHfd+u+NVfa++vL++vR58frqSt4+v/fat3r/e92EteQYDpbV4B4fEk5l1GmwbA6nDvSKcqXdi7M4AH9CqNF+OP47wEP2IFrBCoa3WdQRHtM7JN60J9/sjMbmms6Ln39NiWl1HKSuawDLVE7Nhekpy4JSKsIn2FBgLYb3SaI0N2XmPd0SIidYM2FL1b7JEJu7nxDcM2/mfM/giYpYGzGESHZXFntbxHHpq91zDdPxGYX5081nhQKSTjQGAKiFmgEKb28II3NEwfRjhuhEkorpbFY73abVl/AK6kR4fxI508TR9xktejTgDimOLmrMXQGe2XQxe5LbchmC7yiinvPabDZxeAAmKcnC7/N1DgCd0wC5K+DymNf1DZUsqlz0oMMLxRJhW7T6gjEy0cEjBQekHTjV5jqEprPKpYLT21Hh2jEwi87ydlk8+nqD6HKd9kvuPB6BD8DY5UnyLMzqOaFRvHKXdQlV3pHcYbzqj+yi5KrCbj5C//mVYB6eYEzhDbBpkc2o7pUVW+F+OGKW2R2HikZA5miX/lCcM5u+hTibJErNwzo2jIe1nMEcQ0WkQzFgF3AoSaUOQAV83zQXnqAiGQBVjIDFKZa0n1EyqwkXvSp8ZrY74xcA34ghP83IaRE9keQ8iqlbYQsKxsJuQivFhs6caIIxAYp5N/yM9OClli51pjfl7MWm+/j9BhLva7PbsOEdjHyk9WZ0Trtlg0I1hzbHUzwXP8KnUp7gDjUcOjht4FQyWV0PibNowHjJUyoSvOZ9lDt1Hq8/AwwRY49VDk+ZfgiVddL4cDvpyiCiIRmtzWR8W6PJWwRHdGa0bal+74rp2+RVWBttcH9FlO4mDZBl6mJYgKP2IBqALFgAsBaujuYuvX+LTH57/+B9++PHH48t3lXF/u+PYvH3op/uxb3i/1XHfH/e6H8e9pQMlqKx6V8/mC2ih74gMxvbLGRFUOeKrI4LVVCmoo7Zu6+1+//nnfrrw+i+8PMWXF16v8fp8Xa+X16fLM/L188vTaz9/uXz3t/0v/2n/83/Kv/5Z+wNR1452fSUZ5XyLyoY6J8XJj2pnZAOGdAyjsN1RPsdsoIDVAJ0+3SenW7QK2++hVWz2IflIdVYEObEoZVmkTUQKwMTgcHqyNOKUj5xPj4tQ6Bt9FzIttAhDpRajelDLZS5qegiJwDYdwUOAyqZLH3UqnG5XzpXbOkstczCVpv0NCPsRUWDSYTxE1NF36kLhsno3oOyu64F14Wb37jvq2Len6/WC/D4u312v9z7eD/6U9W1/fLsdX5/3222/q3Zwy7Pq4tq6N51B7neC1U0u62nZVj4K6jRWZF5tviCvBN6VgQHGfxGlavj0ORjE9G8P65Ab5CSBDYx33rMj5rMV2me0R2ESaIZ4mgAeJyJOVtjDzKJY45r1aDwn0PkuAIQQy/bZq3NKgxdTk37vjQiNhT/PgDF/J6Ptxvn7QxxMYUJ/STruIUbNL5BOdZ8f13igzyHvQ9LpiLYdODyC0u4+DNZsCbnmf5onMLTFyYcYl9fMqAgu189Fph7y0MvqXfFyffrj83f/jx+efveM7P1Wt5v2R/fRuve+Hbe343jT8VbH7lLAlcjqriaXNNNhELsQC+3QDDu3iMwsH7YRff7gLfbeZXQYjY4KcHOGU3oa60CSyY793vd35Ct1DV369cvzT29bGzvI6qzAncm4vu9EVOXTrbduu/Pe9Xpf95d6vhyXxdubvr0dbx91u6tvKGDbILqtOkiOD9InVFvxZaqmGpxjBjA2F2ol281g5ngnks+iiZ7wOUKw+fKUtEGhQjNJVxU/ROcWcHkj0jDbKNEGaesdbCDnaNsj4FAzEZEznQ9zYOyLLA36NxrIAWwnpce1YTpTGBxJ4u+MTiLn0HbzxEqKicIaB1Y4ojQaRyKKgEm14QEYpNLaNv9NA64IxPQC2n5vYcEQC444uTCPSV1jStvAbZBMTkKl+0QoL/INxlJ3MmrYllKQNbSaKT/6vfIxBnRb6W60wg+m/Uoz/Ia6EahGLqsHR6pivHYgRgjipi7iY9VukEmoujznkNFNMlsThGEs3Wea1DsYJUHMaHUUOcLYsXsyyFgtqhxKzMkQdYoEcRpWR6HKk0o0O+uHJBG7LFcABEa7IUELnDEcDtfwR452lS0HYvdvdh5CCehAC908qmpDO0Yzaoc2zhvisef6C/Bk6lsiZw0sdeZcCv5wm4DDOJzOU51IoWf3A3hq29qcDijHXdB+jXOCk3eD8A/jVczuGJUuER2Fa0BIiOhAE4gMeWEmtAV0b3ZJxbk4LTtBJ0JVgeW6V7MT8xB2hs3EMWoz76h0fJSRI8IaezhtuClo+xUc0w99dXn2gNmo8KgL4ZFrCaAnrepcCedZ9+jva32uZ/tY5k5kpgbykNyNi3lXh0n3ZWlBRI2Awr9k18R7ALOLcoa4mMPV1upB6/0NGJf38TU8A9obbxmOn6+KPDV45h+hKbNhZ6N8mxKIZo2vw5yTA/37DE8ALO2ryRYAE3IKlsYz0l5I7L9q0FG96JOIZe1R9Qjuf9KIBdhmxUwwgADTq5ZrHk1OZnY0zY6yic7LJ15/HT/8Jj9/2Z8+sXt/vMXbgW/H8fbt+Pm+j4+qqvd7qzgEJlPQQx053fBCq+DuNucpIQkqI030gg0loafSjkCC7M6PqvuRCax7fX3H08qn68fzZT+/1ss1Pn2+Pj/j5Us+f7p89+Pry3f8p//j/U//tfstj91AREbtjtYEDhXFPOONUdGqYKiaA/RYAjz3joLcEqRyrRupyUIikE75l4AQSkrzPoZ5zWmlNC/RzHc6h8GWXzzL4Ai2F/VENtrSkzjjnORQrGgvrNz2BvgcotB95hX7+7ZwrQPRIfZCbxBJlIlzk+1Gv32NRJAyLTMBBbSOI521LxKdZtSsIi4xj+qOWOxYrLuOJ+2NQGUpYpG9PgDeP572uubl8rQWnj43v2QdkffX/ab914v+2vvnffvp6Fu7GbuR3FusjnQYWtLHjsO8uRsrOYfHqCSm8wutWGiRHcjtfjp6tdPDFx2TsWAU27uAZi4GppKAVlnYNuK3OE5O2Pfdbo2haXTKUFtUYM24GYbZAICl6OiI2StkINNPf8z4DgTSscYI8lw4be+Lgd7jJD46YiH8PInIiSMA5waUIlwtZ/GhqVFIHVP44NOkNemzyDi5AQ9S9DKAbSw40cVMCaJyJo7Zitx86XY025RnFmtG+n+SR0mGAi0G0ow9FyOIW+vyktc/Pv/wf/8+//Zyxz5umx+6f1Pfpfd930d9SPc+Po7auw/iKClUKhEIOurjvAUiYhaTDjHKkVFEJI/DAK+qoAu7dnnJE0ibWOlcNgkW/9uWreRq1Mb94349rmJfvlyvPyq+bXylxAOgsAqx8dNHkL3JuuT+aVdJO7W577pdcV35duO//OX+l5/vb9/2vbEHNEIvgdi0/853IAxcGUOdycsPkpnHcLxfOyAHMPLguHvf0hrGR2hr/w0hW9pAYvox6tyiOWVSRyPgPPfZkhG9PC+cT415JZqlkgXofgpn+WB0daxQn3KmSQ5FmUwa1YvfY8uOBgCAIC6wTBoExwGbYs3X45cOMdDN3PgkupckUqFsSg2k39JItn0vk4tWft5PnnWMDPTtBPrzNsOAZJYsPrYpz/b/9miopqIkUgxORiMjqvvkjI3ue9iwOwylHhW2ZpAVm5ldbbbPjRksTjTlHIJjIiOJEunjvc8zjZTHV6plQ+0s/yXaLGjI24vRzNUi8ox95/B34Lnxp2MwBodRO4u8dhMJdWZKcNS4laYyes9oh5NXk2ZcjO56NdCkFOlkcaIZK8wm/kIfeCmLhnKeDYzXIRmtgSrEXUSjb7vdYrxRmN40gBb0QsDkj5kYOV8KjFJ/CsQDj3AFeTsymK2ZFCW6DV6gyoIZ6jS+09e4aeGY0bwEa89m1h8wCSCswKCtVFTEpVVMDKE90UwnVFgVYnd0mcHBNjzVvhzRdObN6fdSb3IhtTwvI07t+mzTwTP+FT2mohZil6Oe50+dI3s4IofMkUZRWBHt/9Dccz6NArHVjEGp6CwLnP4A//Snzn2kawZUdQSSRuEXpBaW1e3Dg9sXYP+w3QmgzObJqqoxCRqhBczqeR1WuqPQwIHFQzZutB7MxJyIfS4zOgNzLJ+l1CqF7YMMWcIdMU4g1hwualWfyovhYodWHw2KEZNGV8diO4rTL6HPRYO8OiEa+7EcqWFpwsgUMNUKuWJLibDPESOfiBn0wEzYUtYXbESQofi0X398+v6P61e/en16ZWS+3fH16+0vH/e3r3Xb20nWVVBloexhbnR1R9oxlBGQdojksvPHUOU4PyQyCn31me+gJnYoHAPFQgvN7pvuB98C612v6KeXvVJPn6/fveanz9fnl3z6Mf/+er28vDx/4b/8/27956j7vjTJ3KzuNqYew/0weEihReyIqN4qKIhc4Q7XIMt2tHCtn+8AgNNVpT6BA5hq9XiPlKodnyZ7fGftWqPEFEhGVTuMfWBTP0nGgMzG5wEFMtlFxYa3ImWmw4tn8w5x9GFObVc3VMqk5Zdqhk9g+mg8o8L8046O+GTBzdYCYvlpjxDBbW7NN4BzTf3a794odHaqbmDUyp0XsisV21LPD93iyHVcr3n/tJ5f9nqJp8+Zn/r65dK/or5x/ent/lPXT337euPNPzLHySYo1mnrBS+RDuVt0u0eBtwDhKv+muGjAMPWuejYCN68rCfSNgF/Fh8WkW0xFenSSpVI2IvhO4rCufh5n6eihBUOPJQFMKPvhNI3CIJr6Al/L+b+CbpxK+ZXCNAyPMtkO2SzsTLiAd2EaSwsE3xtaHhElDNTQJZ6DR0OYCLS/aqlZbwG1Cg0lfZ+NZHjrSB6SymdBKsXoFEPTaA7ESc9YdhO86l4jPOfpeW9QaiicTQzEaUGOpatQNd+vn/+3evrf/x0+d16V+GmfmO/7duH8LH3vY+jq3q/79pHl1kqSXigt9M9QBS0giEikIAKmx2CwWCjzgU5FKKrpY6K7TUYBUIV0w9FNPo0xvQIbjbx0fe3vl5D0nq5XD/zfl99V4jH0R3q7kMQotV9ZT1FfKuteK/7d/v5ErdrrJ8/9Je/3L9+q7cD1ZCaC9rJia3wy2aSx93fKPPUo/Flt8I3kTEjkUhLWXysnDju4BI4Y8mExe5DTbRySktc2I0RmbYULCGt9GIEW9U8UdHuhnzGW9wMDIzJoJsgvAUY4gyG3fo+fayRMP4Ozctq3t5qgjOuCxy6bYZrkeGC89MvqMcmq3kOpp3dEpYAmxUMFk7CbdZFGHrzY7TDIkmYROFjVDZnYdmlLXeAknMHdMQAkSdxaMnN/KftJAZYo3LlLA7pxpqB4IoKZLcGSCxv4XA2WIdaeaKi55vu48CUgQBH/Ft3YmkGZ76WAtOIkenhpCR/qK2RMgBuAEaTiXKH4OkAmCxpwEmvnB8aPNGIba3EzGuKuWi0+fi5zX24XaPUnpEivPxAzUAxz6ClwWPZuwJBpsvGu7uTwwb72HezT/ao7JXud6Kwj+6CdqtnrizNU2wJ/Sxao/ntYKtPuMK0n60rPsZMefh0LvXESII6k/lhOJGysjDYzrDyCCkxpjR7irCUaA3Sdw6nkFYExDLHHSCODDPzzJx0yslmcpGkgN4tYjcsrjJV5PCq+SY9bAihVBQQVouYiMhRzNgvOUcHAzonhlZY7GRfrg1ejG2/iZZKCkyU3pacDzop6PN0yZFq6E3bXzREW58iRgKTa+sC5UmxDw9GKXikYHLu79lxMK+wD0XGxqbHYriQVWPEdmNQe4LifLeY58PhAaMVoNRkKknXkmCTIZY6/JOp5ZHQWnOMfMIbL0KRYm8jUGSQ3bvIDsI+hRJATfSAACa72okgwumChk8slYASF7oYaWP+oKDgOBvGzkXJCaP2FDWQimbkKCLiVCliYGxf42IjGIiDX+7f/+blu99ffvOb13jZtxvrwO3t9uf78fFWh+5PSKIOHV2eYmOjJxGOznI3MyMpNUyYBkldjHIoW1JKpDH56IQYWTF1f1QsRyEXwAwUt/DevakF3W77/a/9+gWvL3z99Hz98vHbf3h9/qzrC//5P92+/rfct2PtEg2DsWyXLcGVf1CWisqGUqGYx8R4SCKKG0UFU1Kox8cidI0QcYeDGq2lBFwaxCHnhiWjbWezNlqFbZVbsFuEVYCtjo5mMzhG0aBBERCxgSyFi8U8YCk0Tn5b+zX6Fdvp5eRXPmATn2kTH45QuwFlqDg/EhmaAHJKhVklm2f0gixjI8XsroZWaXd1KxazmlR9GN+L8AZ8A4EdukXxr/fLE54+X19fn/IKPF/iFfo+Xn94uvx5758q/1nvf9719Q5C1RuXRBFy0NjTamwwHV5khuVhHjqhfE4VZaisophtPzJM+Pk3FB+OqEn8gTWpuVsIJawOreFLmqPvhdP0xoBxKhdaU9FuwicEpNgmDCgQy6EmCIfhiATZ4JrQUrgYjoOXQkJHeDMeWb/OoATXqjv4nTGpGhrCITWDnweVAalkGgHhuGGfMNZg+HRF011JfgdmlbEpGS0qDCs1EP8GZLanaLRz/jNnqgBH1mTnAOXF3y3EHnMorg5Rndd+/bvr6z9+d/m7vOvAEf2T9lu/vR/3j93Hxu7jgI76uO8+VNUqVYG97axRSwhF+RR7zEaCX2HWgY/UKmDqFAcLdxPklkVTwC8X0Yw8nJiCRgcXkAHu42NdPpo7Oo98uj59SXzw3vcqwCKSDjFQuh/78xUv9/x4wuX94/On69e3j5ena+7bz18//vQVf32rW/fRJFNFc/gtx7wbw2E94jNMIZo4dR714KAtA5zzzk8sGApCxEkE9FkvMmiDzTMPMgB5cmIzLYxT0mkY8NylAUM4TBHtrbGwI8gAMhJ+97LR9hpjRSgsVhE8R84X5N9phrFWWDXcUysFt+6caMu5tk/PTo+JYbZgWcHCUUOmIxkItAVp41+mC64FtSy+J7IxS4aXFLONHqMa05+UNbxcw+PnDrfrcQTcsqnaSgD8Ajpy4tgnSiQ0Qhx/hqrx95GT2+HfghDs97WC0RpOKSSL1wMhX8I2YENgytiDM+69INjMQ39g8UgDgq80zbHpw8eBp4KAPJMkxPVAsaVAV0WkHXATMICp9wKpyY6WKcJTWwLQZ+dZEZgtcW/ORDeWKZBRpcy1qxOoQ0HokobNo+Yx8KADb6ltp67HDlov3XftZnYAVWWtJAoAIn2JsVrD2mIoAPeqebosZoz50zi1f1e/MGeHrhl3i0457+Ko7obQoyitx/6mgW4Vj1h6DdHtRhuC1ZFggBGGbUNeIk+FAig1i9UYiKKFZhUS3HqE/jYQe0qvEJI6Cgq0Uy89optgDNBTvNziJwT9h3EmUOOX0cYfpYjeYjIc/FmnyADTVnE+1DOeG/PyGatZ22HrFudNmYMnvGr5v+asEc7AaXn/dSp3OGUZ5tEehJ7Q7TKcyfuTIDhBIfy5n1udCbQSwprRbkBWgphNBpQthOGjIOSqjZD6VE9YSzznUoSVbPZcwWXRoS6TQN2nwYrzAQPlIN1uZuC8k8lmr+Ipe2z6FZ49DLP9ExIrIgYNntTcIhMYWpAdSLCIZYBjbpAEUAU8BY/1fHz+9fXldz/8+JuXlx8ucd0lVeHb7f7z+/2+S0DES9VRra5oTcKk1UwSoqIuOOUBTmcFimBcmAhob2fNpdj+Ytr6pEVt/3BoshprsTZDIUTN9XyP1sHdK7fe43bv/dM3PP+k1/d+fc1Pv/n0h2ten9d/X/d//S/7eGN0NSMqrq0CKs2kIIo1oksrgIajbA9UI4GM8ZDAAXymGBNQq/zpm4JEQ3mWiRsfZgHuVJtjE8M4EstynlFZq0A2EQcqkI6hkybuw6LgVoSUzU6pyg+ZeOKwhq9HqctTvrnHDJNUWe9hHLEQsZvpit2wDj6MLKYkKhQVWt2NSOXwXmFyfXUgvep07+51Sbb00XsZE+5kbBYa3BuuZNkNXhDcd92+He9P9frST58/XT5dcdnrB/RT9Cc+XSNe4+0/q7/uewRUG5lbvEClO3RZUicH3jQ33MFfzBkGOHdrJVhzpNejEgruRZQS2oEJTZFUCFKsFoGpE/PZ1ShqAnhOlUE3EK0adtwFHqSBlpSKjKJ7Ox282CuQvvA5pqwGFzGephg0howgAtPYPtIjX57mZuex45AEbjIOXzZhkGaGqpEP+f+r4I7yMKpUKbbMQc+WiLCi1tQ+x7/WbRgiMH40UFgk0VzsJtZQwRb4i3R9IE9DFc7n37hSGiljL1OjIay8Pr3sP9TL7572Oo53HG/Yb9of99t74773DlT1R1UL3a7LUh+k249S4zkUOgyueoHGXDxqgF3e9LktOTEawEDXSeh7iXSbTbECAaGrzy8N7T+csdEfX3F9ifUJvfrymcdbaiODepcUm4Xdt9ZuHrvej3i+60J8u++nQEYl+f5WP9/w9V7vFe+lLW7rzImI7FMZHM7iAWfjl+cyAttxwyTdcg+nvHVJZDUybCCeuiJPKAOnb1uy0KbSaXA3wN4ie6oFmkiwcLqW/F/s7jT8ag2qBZJaNG3XQtKohhzBF1FVPFFID+vQuWvJTzfIQLpJqecZfyzECFilNMvKiXBjZHmQGlgTTxN2SOzhPsxltoRk+rjNaoe5l0SO8s5jigcXzYCHJtUSHJyeUw5khzApOhXewvuHcH6IghnlFY1OojubRVcS8WzzAwG6NI8VJ5eggFSTRA2NOelkdmi43mtbo0MuLsGMKBh1lHPdJz6eU6JyKlU4Zkg4SN0y2GomnA/EMhNy9uiooRjhSHqLBtWRKPmmfAQbVStpls9wm/VpwW6Eb9AOzycTkGzhipghIVZ0Vc4GGJWIKr/AbUCYkIM7fHzt9N4NCEXMZMxhykXT3FZhiQLKIqpJ9rYGZcAaE/oEUOUpGZaszQ9Zsl+lxRjZuAFAjMnMgLZ71vzbRUD/Rh7ZcvFlebKzHtFPFHaYOp41vMkT0JcleMYIg1MOEqiuWt27JURuKc+HwJGbDASyw8804hHYdqJAHrwFMioU3elhE+XXPtV2WKTRymgC0gKO0d+dmmMbJNw7oVI6zMdOdYFjv2CDzTDm5WNm1EPej3BSljoZQDTAHsO0X35zcNaOz01uw1SwgvM0dDBQcRCrPFh5OSMpmEkSEPYgJUhbYzz5eUMxv0w2lCa38GgHNbFypgzKJTo+FkdCjnHmB7tEMi3xsXdztg9YrhvDf4bECcACJ1Bts+MXW84a1dS5B42+0+UJklXRXcjkKT8Cztfm4r1BIfNGoShk6Nj5iu9+8/SrPz5//vV6+g7gHd0Ebo29y0RBS13Hffexfep46/XTr2Q02KWEO1TZwhq1Z1szaomyXH0FrpN2lioYLjAQ0XGhajRZhRkXNPNosQ4hDhw6Mnk/Puro/fpSr+/PX66/+4/Xl0/IF/7z//61v16yjooK82+IriZqL7apGrGrw3fZwrDqClTNS6FRVnUIJkwBMNKLou2QDpwYvNV7P5xd4bXhYY5Z6Uq5SRZjCArLUtKr68RUma5O1xv5a96AjxhoqDqzGieuZJmi60cErgw0SgQvjKIc81IO+xH96phqDVERyA6DiJ3FDlwaHS3noSg8S2RrgzmJpVJrh5ZFYBsgDnY6FQYBoooioYpiFyJx3Pbxgevt/eX99vS6+mmtFD9FR/YTLrt36fru0rGjg3Fbfa1E7OayYfzqw8EwbayHdM/pbxGnS8bJZv6jmFAwUqUOrKJTtASe1xlGRZqW3fmxhHw9e1vkOG98HWB0U8oz49laTXMLMatHrIwcoZKJWd97J+ho6cScImh6KHCa6KkLRpyX5SyuOh0ORlmZg1bhBFNntoLaES+Yx9lXsnk/WeRgmhPoBMqCNEFgEzlMgsVzGqCLD2MLB2yfgW6EOO2r51QRjMTPQKkbjqacOvmKy989P/27uuWx37buebwdt7/u437UodpiHbs2Orrux1H7jt51XhWTx2Qb1aiZfWWrswOnUYORNbkTarhViqrqjMnEgak75+2eZrJh1OYDOAFsSKzi29eDl+sywvIpeCO2eMnm0Z27PMLjXvo47pePvGSvd11QK4hL1Mb9vj94+ejaRDnVn0SwdJjHIH3KKGjy+7wSm1BaQ0YJDihrT65BQDkQQZ+5krZc5DKsv2Qe06kHGKoaQIbHFqf/W6CBEQ/0qJupWY+Gp/bwEiIkLgYwFmvQWTwtRyygAMtzRHSfmQjUxN55wSWJjlIPNiZFhBOMgSkPdBDeXNHGjCgWlOYsSbafRq//k6nU7Au9/frhY5GQG9WaffJXiIHvT+jduXvsbTWNjwPSeHBBU7kO/54JqczrC/JN1hY0IhhyPhUFv5lux2MN8QRBzPaIa0LXiGobpp7YccNr3p78+lHu9HAOkpNuWNJ1tAFAELsH8VDPojSIrJ2HEx/AIHh+i0OZxS+nnQxvGS/xFNyoVswAxEztcxc3aVQRYc1HjVuOqAOxxnfk+667uULeeioyu7t5JxcdDpNuhgnrW9nV4RYvsdsDM3fZvs3TRnm+M/Ym+SJUnfOmebVJ5DnVvFZvUWwLYzgOXs1UeoKH570RjEd7lJV7lsmRJhs5+xIJJlub8CwqQqfHwROjYBcfnY+YbgpNTlclw+o1Gifch7SlIDOwjYVNBMzjgCcaBSTHLiiEpt1oLOMM2+MAZbrdlIOC+QQYJcTAzjPm2AUDEiiEJxih0dzjTnGN73BkoJ0lOXIq/48Dcx1zKFmVmhZj+hD2LWdamyCC03w9ogz6RnGgp4qt7aXGa5RvP3ssIqhRzQuFikkhSkRDM0hZSuswM/qq9b3ccHiAzyhMAOCZteA/laAsCoAjDErg+H3RY9gUM10mMB+lHO0MLqAhcWJPPNXMkzkAoiA5nPD0EPoRh08kKhVY02zrkyrohF+WIHIpunv5wWz2wfq0f/s3X377x+cvv1/xXOW5Z8fRfe/qj9r33qUNdtc+CrzIv6fgpVwKosAxg4sIyQdhjN3Y44qliZFmUVJxjkIxqwCExqLahpjsCdWKPqdrPxQVjIpq3u71fuvr28eXz89f9n797um7v7ms65VP8d/+v+8ff20coS5gR2TCM81KlcF0hJMZGeWUGZQaCTMkHJHaY1yGJT/dJ2ggwRIL4wHmnaiBHwwqR0OZj1UJmEOJsC3FrvRuNTOtNJIYjXbbnSX+jRYRrtElyj+2yTwUZo9vODi/BzAyztHD6C2zyCxVPFacScDGuNRNPvolAxyBGgNuoIPRk4kDsqQsVSIg+YC1Pn5QtPmy1C1ITCfy7L1vf+XtPT7d9fKl+5JxpXHuZz0fip//z7f+gNGiI7a10Ak0KhJdy9rLtDIa/OWjJGheCsOc2mVHoAdscdcg5KFi5kUIp+0WgLlMzN/bY8IR1AXlQ0tg66AEVwaxKazI08FoupGQFliTVELSYRZeLMIhdnzcRp7eDZb5fABOZBIa52HJZ81A7N745Y1/fnzx/EaQnvI5q4zGNa0JvaSFMsC5z1qDZlp1CEbIA/JQXI+FyUm/GIWDv4PzJMIgyIixeKE7Ihvs7ghmqRhPv39e/z73q/De9Xa5v+v+8/3+sdHNe3c3dvWuY1cfpbvTXRkjeMmZ3v1RjuSg0cNnOIMczN6bnVptf/Bk0ozYIcb2LwDRfaqZABO0rQ5mSQtDJKO5d/Oda+1diRRXr6esW+vcl4+IS7PqlpkqVNVHIaGVka3OYpEdOw4/AC1J0SGVGNNEGN01+yRt7egWGEmhQpRYYLDV7dmamByqjs5tO7mZwWGp5PUh1Io1eWDOcle0c4g9A5ot93NmjonzqXg7nXn3fGRkdZsbjP1nAt3OlBg2qCEQJTfXQ3QmcZq0ntOihVAwmsw0GG73qIEYncnJpflB/NyJmNQpLUSr6G9fcPpVzkHePgbCp+KIACikQvaA9aDkbZBQZIRQNJAcngbNAjgX0K8nMNoi3+kxsPdMIf4Qu4EuNxyPf9eflf8dtAhz0qUZcHpgjpPM0hz/QscsQD5tZtlXiB1WlML6NYcVEwEVVujYBmPHleAnnecWzw6S2lIaqGhggKEYOMWB52Hr5onv/BulBzk9W14Kk3MdnggLrLwO6EGS6GQQG9vnGSPaWi3Qlm1n8jciqhlL49WssB0Wpo62Eji0McE5Pu5bbZDgPM9ke/cotzKNpmMY/ZlWgF+EG0rOtnPe2NE+TgeJ6pNfGxcomckRlsP2jxm/e8xTmhhq+3i6zZwxwGIB6Ey/0QwUOwWz0eatpVaRjv1pDJsFD/aGe/xulMIptBjHNNEqMFGyYG/wuhmpz1wq81N9TqMCdb4tntN8wTmnbyRfAwkZb5wSSdsk7BdnndcydntmjOyesXo+TLqN5FwZEpw2mvBX3Owcxbs3iBE8U2r3BZFVSDP2dj2VxwPLqsEqxOJYIYDSGFk99+OXUEUvxv7ihkd0IlL22dQQEQqoKhzIGO6FEGiZwAQgkwARhQCqi87kHV2lDwKOwNGSLXru4Fw5J7FkpYmFl5gGAX+mfqukXmdOeuix2nJaWVCQKhrW4e6up+f1/b/P3/395+9/c8nrcagFtaKg+x23O24HdOhoFRpSa6lrpBcIYFT1g9F4jAEJ55dsdjpjFBEMaKgfJptgjnfTEpwpi1nSkaaBejTRAmH3zSAhJn08Je/N3rv3t4+Py6ejv//u+vTj5ff/0/Ml+5/+t+Prn9kMlifTYucKp8VYfOo1L5rTITGE3OC47WwkSx2NMbPZAdGax4QPZisB6c1gskFPDishk0SWRQhNLbAJFJlu5gvmgmOCNA8DpTOcxY6RDmvm1J2Z5yqO0wXY4V3fOTeN9kzHhDNOaWYSNJjtgynOaXccgjCEh1O8umm9EAzqSp7+ddLYHKF3STFwOkfKpRPAdA6guu8EGUmG7h/36r7X5eUJz5+gFfup41d54eVaTx//50ffSZQkMms3L5TSypcg0eqMX17x+De0mOOaB+ae9p1mqwVFhvG4PnE9Nks1wvXUiTxYC+/pSw727vTooDOBy5EDLWBSfcqDp1ETF2EoVjqpcDJ5cZYS8/Tjtq/OCVabmxgAUT0McGAAk5A9lZxWGBHcQLKblgG6keZcbR4niznUGHqh5TgkkyDGeX2InrtQzE45HwbPQ19aZ86BZ5OxjOABDp2biJZFlDT9GhSKqexEC9d4+s16+eOz/la8XY73uN/27etx3Laqu4SW1Lu6q7tUm9viSlWZy1f5aJ0EGLs4ca5Qw+POzFKer1lTFdzyU+4FyDcVZW9Uxfg8RWYQWANk+mAodVbUrW5L1yyuDCgW+ko11NQhEJsuFbQYJi0oLafpqdSMpHaWWkGRYoR2R5yEiSp8bvsbRwsZUWo0Oy2/zHMmnwbmR353pwinT1l8MNh2E2QDiyinuxr2jQG/hg+bJ1Bs1IRzY5YpIbJVYz0iAs48TJ2aiPC0y6STMySlpycYU5y4LcSUCfv+T6IjuyQ26T66eWk6BizlYBS+zsx3eYqi1JqJ1+M1jZBpe/OZQB6dJN0ENDok2W5YBzU0Bi9uQuwFlbCc5U7GEijE4sAgj2JkhpqMrlQcTQbGm+3lDif318OACIihcZ3+QFhpfQaAGmG3IdUyPL/MF+BgqrcoKQN9CkPlr6KsLZX9Iub/dUZ/KWwwk04ikQ/CUOdGHBww7BRq+BtrxML0Sp75JBCZv7AsdoqGj+YGTZcWwgUKfkZFeMcSFHVmm8dk54dxs0kk8L9PmsclXAdR4CQwtRuxUZ7PsP0BzlLjKz1OKMejiUGvHjDRUFkbsOv5a0+Gnv7I6aEbEe3wBJnLl2WiQ5j4GQdgRqelSGrX6D9ngU6x/UibrfKnMWFSsBbUAkAZmbMYSpMAAwYL6vKfn1fV/3nfHS3SqWf+VwxBcm6fOSxOgX0ZdTQXYKNygh1luyzN+fujlm8gX1NE5mCm52HhvHAOvvToBvB7Kwhe9ZsE08oybEUOpTzhpS6+sbHONv3BsctOhPnYJ3nLs3YI1Q6XsAmM3cj0Q9WOguTwl8J5deast/Bs3PPu5dijgYDT9S2gYQsJ2ufnE3DsLhKYnEvCkLH83wZYGo8xaLlSkGkgzWeDudzBgYl5b03I+PkUx5ZNnihUhMJScfX4qS1bdQKGBjmMCcwCOWEACohyrnxdP/PXv33+1X+8fPerC7Xvx1YLsQo67vt21PvHvTuPLcy/Fj1xS6P5NMdqxFiUd7qoVtpSuoZhsjTDEJXT04iLH+flI0rOc29Gdy1UMdlRrAg0g4ffMjNN5u4G/Q2VyN1xfDt2lYQfv+eXH9an//nL9Xn9p//3z3/5pwKuSzvk2VbhoxApCAmUrb9n97bNTiJ9X89+aiO7BY0KZcFmbmM+tO4VCKcxmEIE0yEQo0mBg17tiZQ1qW2gx+0/MYIPhKhEWaM5P4Gt+VrzfAziQJyAdZ+F3SSRjCao1L5zJI/UIksO8zDiVMTyIK1BQBwFTMEFIOM2AFqdsKdUg45rYDA1x96Kan+LKbqoSkCzWFZYsyFUm7T4qKrdz9fa+fT8rBf0RZdfr5d91Ue//ZcP9hKlO7RsROpQJBodK3DUBItFQCp0rGQoOgtegR99mMDUHLGaGY3iXHsWpoTLB8JEhEMQf1GBhQPOGTI7H1Y7aihWD0boBpamCsImAEAFrvZGZBTEyxEm5/SMeD/jFzD/r/UH8MAHxEQTaVQLj+l+gj5SPgtx9giffxfk4ce/K3Ai3/EY88eq1vYDAxhKyAc3RynVaJIE3LFlDqvI6FGun7Uk89iD4KQ2C+NYEcg6kAEu4Lt8/uPnp799red7/bfL7a/v9fV+fOxRq5Tu3diNVgkqbTVmHw6UQQB/ED34P0cTxwgDmdXMxe6GM1iraBs7PF+D6d21UyzbrJrRnNsSJxu8hXB0YNTuWNrNTNWBeievZkQylnBpTAZd6LA8liXPoyHh8NFbHbGqUGIzd7cuZ4VIRHmdU8SiBPhTNF1hoi4aZwqLJjrD2BR71JYDK81chzHF7JnxaQMwW56usyfosiYIy11g8t9kfF2zAzKTu92A+0uKuv9AUsHEWAY9Cz5URmfkRw1g5/PLJ3nEfC09/wueN2W0fYox6OHEpWGYFgMVSTbo5G42kS41T7F6lHg+EP0bMOG51fJACtBAd2b6Th5OELIhoZvmjrsZsTIEF6yDRA8hdZIn2yK+KWby9PbY84ER6p1tZ4BMOp1CPVO6BFUta/LDl7z9fdp+Jq2IsXH/dK+qdyOJU7a05u9MEMiIglrHHrbUc44gltk6T82iFQSP/3c+CgzIWxE5Ue1+LKfmvmCOxEeHeRSV82EwH47HKA6Xr577dQAmhIOTFA0Wamo9/LLaydxUFswaOaxUo59Dn5IXgmqqu1vBhPE7A29xAh0c0D2iayye4nlGzlYmRKQBfjGYIcfiDBgOCw8boMq2kFPPbnEb0MCyG9uRq7AIipqi5zGEavLUYjJjnPxjSQmlDm9lai2MfMkrDUKoLn+LCbTOftEOIZITeAVrMU3cQYX0q1eZVrwyMDpy76CcYcfTpKF46zvH9Xym5I2J0qAD5nnnY882lfVQFMyHYMrEdjvfEbTKRZE4z3NPVKf+YHYxnhtITISmtwR/Yd0R3uJX8FBR2ERaT2gqwhaGU23HVidzJP8I+OCyE3pAd88AsjfDjUGz19MaL4yOEJ7VEOKuRImCexomqSUGy9McG8PULHOiCecaiaSNie5IedyzIP0UWQqQkwhvm+rQSwyH/gVJas4FwX0x5XwqRBQVev6CX/0+f/fHp6fv762PfWwqEJd99G3Xx/2+iypXjKnLC26G5yNtZlruHtFiGrcWM9PSQoFy5Xos0YEjZDivTCKZyyuhXTI8l1JzFZcLseFNKy7CkaaHzj13wBuB6AiCRVUDN/DPR33ot796vX6+/cP/9CmI/8/x55//e6EvRk38VQUIaXuMBbcJwhgjLU6tQ8+RBQPyoA2gU1/u4JQ2Il7n6dEOQy92SJuubUqF0huh23ZnLDgJuEfvA+YySE1gewx/Z1GD4dyYydWbM1Akmqd+j8AKqn03r0uqGs1WJMsZ9rZ/TdJLIQjz78ypxvERFNbXIpwZMoA4fW7bEg8p5tvXhvXCGDdtIMRCJttxOSg1Knt3JLOjGR/vW63dt6VLvHQt5W/Xaz3vPu7/WrytRtW2p8AQMDt+kd55cVOES4tKIztXgencYUkiI4nWaogp5/d5wvO51DltwN5qzVoOoux7uhlEUavDxn44jtKnWIFLJuvtt3WcNYkVsP/CCISRFVG/4BI+RfzvSOeVH4QK038aFLvLVsgBGqxFGzbPCD/OKf5xXYsji6F5NEQo7Q8RziSGUYnM3aXHK+ob9sHU23w49zuBRmUsj4/jW5rGwxNDDpw/Gio07kHqFfH769Pvn3Th8Vb1rY6Po+7NAht7O+YZhwrFOHivVolgSe659QQ3bLxlDjBgiqCmR1S+rDEfUvKMl/HBnaVJjewTmjK9yl3NU0PkZwTc0qqORQrq3cHjRrBXZV+EXkyuxUOdKwRsoG5CVzPZvahymgOayEOyRWVHwKIPCcsIJztPo6wpbkxc1OyQPNe1YWF/UatCLunVSN88v2sTFj/BZR7M4S9HzRNn9sn4IkGG+8dCULTKz5t1K5Irv8bwFpGONoTGt6Izqxe7QWn6MiGSDY3HBMvUsfOjTgGJ5SCOzobhVk/gigWU72Lf+P6/TEuRnFGTQNP5bVZSedlBd5EZYXB49AYMM8zw7QbzNByhk2cFT5MCIzKsA7a9nvAUyfMXswR2ul4muKeHWfHR6a/M0H5GsHEKtazu4kh15qGOODUXXo/aN8U4kc0LWrhOzGbhIdOSm4IuCi9RvrFC2w/1XCktiZHIPt97gsID2RWdDeMNC20ztWFqjCwBmLAmzHxyqkQYjM1JYLObDOuX2TUGOBiKH6nJjVTCNBVKivMykuvnprrB5F10NCDb2R2/IeZjn80YDCgzupjzjwx+EmF/VJEPSYRBGB/FAiw0QAjpQJJ2zMN8FeaLFHTTDrzeyCUVZADbCVmY3Kk5/jgLgu/gUwYSnVIrIgM9ZjT/0kNaCH6ZdG5jZbHNpIa5tsYDyYDcVpIP9QycyBEAe1qhkNsAzYrjvC3nyguhkandg1NaTWLSxWmUnpYwfw3lKDgmdaqcjBIMpTFUsJfEyZsyi0/YbQHM3XneQX62wKnSeLyU8HQGWT0NQEE51T0Ncpc6h1/BPKI0m++HEPArZuyEsFg5Z421k2goyPbG41E8zkQQ/2IggqeM1M1AxC/ftnsnzzhxDjfgtySBLtf8SWpX2Ar2pmmEdlbvxohCzFPMjz/iOsvMzlQBDDkkUUxmA0NTsKqDYkZe+N1vX3/zh6fnH9ENHX107AJw3I+63brEXXe1ewMBsJkcQftiNyTYPc1Ee9kcDXuO/0KZGBd6ezGArQcZFNCr12x1ZLUv8+q2aDAVis7OlnssHOsakFLhN8RO9youMhJJMPbbLVD918jXhdcX/f3/7Utc43/7X/7yl3+5IZwCTqDDto5QKxsVCEdoKxAlU2/9C6Kh8w/MXVYYfQ0BTH+lTlwWbGClenNQHd+1rfpFHDfqJsZEP3vbH2O0FTdGmLAYRY3P5XyYfU+Jmk72RmObAgYdM8qkjwFTECBKQ3UxQ7OHD8E6Yxp6gm9OEw0HEXfZRySjBtMjC+f/t/VFQRY2TZWk7c7RIxrhgu7yHhWC1DuKndXtv6Z1v/aqlZcXrL+9fKfPf6lv+197H3fwWjfW0lrI2tmBx0QbuEekSoEYuIUZMdgZiVC2t6UmeAnK2igYwOgFwgs1rR8HrH3FqCrnIUWTEYhmr3SqhAev7LCnLhgWFgMGZ0GJyxJnz1jDtffgTAPI27t9vsoY7ps6uWnnyXIEGjbp8cQqZ5KfSReaCjK0b2QSYUVjyblPJyUIQnacOwYFA44Bk8XR5445KBJcCmDLf+8R45NQNIs6K2LhOZoD8ooMKlAQC3rh+uH69Pcv8X2+3er46bp/3v2hvTsEbEWXSlXdzd5dkoqnUmleONjl0udHosLpqfNBN9yxgfBQTgdLmHvrkE5jhKnqc+aChTPsZTeS3Q14dA+1H3NanVmHA3Ujp6+usAx2jORw34cPOc48pCjsMek2EKVy3hgyThOaXb0e8k4KEZBlXIt9yAC8AQPKPVPERKtJjQzBfUulRMhCtRAiFkNQJrp9zPmAOuXvMc+kJW6NiEa7isqTpc+lhqciAegdl8Uhr87nqmEFarMmX5asfohakc63RrVRP4DqciQQzCc2wO5iJiR0OfsW89A3wQiV/U/zKEhnaJGfXEVAG5FjuDd8QkwvtybhoHvIpXHWOq/PLyjsafetHmZ6ARSiVaGAerQ8PZQsIGRGFyb+3KuAmCMItggK22Od5dY2CcQIWkbDY7Iq9RjgZjA13Ttp8cBjYfAQF6pmjsSxhDwpgnFkBLs7jOTYbmT+SNaRD4ZAC2zlxZpkN08vqp0jtGHFOMKZK4GUNkddyZg0QBGEA13nR4JA1GxSTJUMrAMh7ame4BmI4y7WR2yRtSU8WKC29bZENZDdNRcwXfhJqkrUAw2lraqIxBRqW2pxslCWuM7xpTaG4h5YNNExtHJb9+EgEc7RPhos3z6IKXACwnpUwa8GxJHfyX8Tvb+YmbXDnxViB9jkxYJloXUyJl0hFP1L/QIQeF3kTGDt1vg59IcXLy87FE7xzYyN9Bcsy70JRLKr/NNAwcqO1vgx507wrWaC3nnBsdwu4RtpRthT9MKeTV3QZLDFyX6BdOjxpCAOwEP9Qhq6fQycjDEZD/OJPsGFslnKuJok4+Mx6Jr1qZrG7pOq5MxFwdPpcoZzAXDQd/j3qDDXyBPjGghDE/DH01gVQtEFS9SJo5AnATgP2ynxPMkri30byABQcpBCzaGYmhqYtu6xox0OOz/PNH6rIOtYkd06QBbdUw1Gc6Vefljf//a6Pl+Ouu8bcHCrD/Vx9N6TF7xB1/j6/4QKLmLRJnOJIJUie+Ysc7ykD1BGRirk8vCWK8EY5ObkPftBbSKMrLUUsQJwzOtThy4OnIzO7koLG3sUe4j5T6OrGStWNQsbH/f4+du9nlbj9uWl/u4/fI9d/6//5/vP/1LcT3q6G71HOYG56G4Gkm1LTriBYkhDx7BNyaSfQs9qnOnQx4sGzj29mm3xmE/sCH8rlgm6nNRo0LnQzwk5gJ6llOY/+8GLQzAj5jvE/x1cQFD0BWyAyXguSYPjHWXTD9XrjAsN4ysx7RhRZNL9BI7y8Mt5kldNOXidDuRsEe3ApxalixsTSNmq2pFnOKGUlMNRS8qqAirQwkI2Dh2ahFvUVYrMl7j8zfp0e/m5fso/XfextwIHq/WU0cvYeJHISosygQ6Uu+MN0HBuyiIJO2MabptxUnqEHC9HREeBXIZNxJXGnFzx4ReM52kDikkiUT3M4IrH7c8zp2GulwUiPHYiWgqpBn6VsyQGRtJEugdqGEHNQezAFKtPH9ZLGEEwO+Hdoa0i9OOpFlJQzmLJ5dvcjiiH9M6WMQ/hmEAEqDvPtYA6ebHYqGjABrgZgm0YCzvq/fzHOKFNT64myz0Fjbw8vTx9/t3z829f3rL3z3376dBR2M3G/mhB3dUdXXC7DbZtSaMeS0SfS+vQm+f82jJ0Do3F0MN7LofqM8DtC0CGKyGzpeOs8zv+oALO3fgE+s79TVrMLihKFVsWUFWDWI1Ke4BY6hXRGy20O5DT1iV748zIp1QBl1a4MYJxIrFy0J9FEqrg1BZQcfp05Cn2vCPlvcZOPotnGOfv0uVUQJgo56BVsxDabTSXYziw3VCb54ukXDiv4QiEOxgxeBVjMvkwUgOPYEY3mN09LP6Qj9Fd0yQ8bD520HeNNTVWq89zxrGSNx3TZaJg5lNY+27ym7HRyxwWoG5GunQlI6VpQHRtfRKF7o2x/52KHtNwvuhhUiECOUZJhufdAMdX6N1hMDlAwrSIW3LgqRKnmhkTZtQTjWfVMIaDs3luck1gFHaOYs8zj27a+dyG/GH2LEBAJKwwBBpoRrabB8RgmehtCTrL3rigcgrQSQAPpoD5QgkoYs6dMabNzmNQwnEMfmh4GgJERjmQlWZYiGk3CHOgSOs3ZZDSO0YaK/PhBEnVscJ/gTqTR1vKHK3ZmyyaQk9ATKeye3HiaImEQuoeGQynz8WtxUaie0RKomO/a4QCMobWXOGuUpzXZzvBqQdThFIoTl21X43R7cEnvQ/nmHPXWZY4kfQAlkM/tml6wUpS9z/iRIa66ErlVjv+ffoh1UDnsHkUMDk0oA9o2UGr5OzpPEPOwj4h439eldXDVkpEMFpHiLvrl2XX7Ji8y7VxKQNJGGrulM/MVKgA9zwl3UqMbNMbl280QKSJohNI08MP24SlxOPkqgpFM4go9JgNPZrkGeBrCewc6zGvF1JEdwcRimoLlOz5Lr9S23DoAHID2eoBtgF8pHcFQjlCs3+jHT3RNKd2aMDgk0FvRiClGojNOimVUQoOzL8bZ2AoyRJSnO/NG8emBvuC275kjySmMkpqYnka6KZyrXh62j/+8Hz9nHvv4477urNRzaPZVSY8VVvBYPdBUsiSMQRlKxbFCxfRIAMrSSDTxHuQYBqAGfXEifIL0Rl5QuJUu/IcFrCklvMsldKmEoAyEgA7kYrWXq2KPLMNe2BWHNirEbm4orrf9tHfnqi1cHx6/vk3/+Hl3++/+9//15/u/1QHztioKHaU0s2G52PaYmUTJRdrcPYzWHCZ3k11WsrHZg1v0kzhITmLHgcvUTXWYg/pMa+9zFV5nkS1MVSPTj5mzY85lyjm3IqMGe45r/pA9X5O0z8wYe2+R7OF2DGrOjEEHV08QU8gy9JjX5Mjw0OFQSFygAVZ9gXH+g4RYefDHDpRMwOlYdj5+DJmAbbHH1UdOCBFdUuFq0guShflh/LTd1/+/qluu77Vm3Q/0KUFHX0kSp25DBcpUCdwVWDuo5FYGRGjPve3toGIlI/FdoPMaBnUNoEEgIW2bBiLKnTil+CRgWR4nsZGyUyn0K2qg49w0oNArkHRz28UHFMmzh7y4GmpnPszDZ6canrri3vsYgMn9Qh85P+IF57h8CNYHUmN6zAim2ooMUunWg+Cg0jGZrAnPdsSNsx+ySwPUj5UAgAWRtNLTO9MQ0sp2RkZTEFuVOoMg325ydfWH5p/eDnW0l93vfVx1KpDYmvrAm3KRDpK7WjmicA3wl8NxHYylxChRsCxcZnDrWMgvDFieAuFY9U98BgY8ufZOg0UbXtPU75ETpb4/OKsHhw1q9ChxQ3lrSvXyPQAcnewl5BQrC7Fnhmnsx22CbtxzajTmYAgHdreTsmuDkjJKGxjfohAl4DtAcL6GFmxZl6TECMD1QgroYFkAxFYFhWER1M8nLSOfoqEKtDdkTQwhiFdUINWJYFKOesASw0tA6YnyxgADUZ4/LFYXFESuANUwur4eLRctSdMJwd4PqOXBcH0VSA5pbWyHdY6JOuB4MIG4/OqZSiZ8Hd3oiGoqGVtj9O37BQ2iM0zW1DnNUoNYUB2+JUDeFoFxe49ihfPTAN0oqBIizHY6RxFheUEFgB5oPBwhyj/0g+psdmeCM8eYxWgla/zwvY8PEI5uhAktKNI5gndMB8p4KiOQHRu+fT7xQJsFMczX4BIdsV4ILwhwvh4D4PgijH4nJAFLOGw51Pk4nHQSw0akaIttySIkil+ANER/ioIUGmFm6AWpYhwfl8o09yjCR105Chtttezcm7vCAGBOP1HHimZkFlsDoXiW2w4AfqdssfL6onZU07FioN7IM1zadmedgDaDX9OBXCfA+BDpBIzyekxBaFRsi2n0/eWFeaWq5nsCAHuXPGD6CYBX3LT5t49G6GUiPI3iNbQbXNeNrB8PgsAUlQOgEyDAwjr+nE+DDERN5zj0duoj4EYEqoDQkuJJBodc/d7NrCL3MKX0wynkt2zHJQIDoqU4Tv6nRkYox1KYFSPiy3Yk6GGVNIKaiPdfa4eet9rmZDgrrab2d/DXMCNnuQIk1HnSewsdwPkyqKo5pnLNY/0YIDUUAFQ9mCwZROQ73sV51kXnIPicaGbRuizuAfxc8gJ/Bq5elncJvT8BHF2igksY3QhOO1g3QjnIvsuMU982qRKiKAqZV8+CcTqvOLy62v+Ch+96+2DnXuJDBa6zIGPu6arupVxAaROx4F5eb5cLlyVXAlEMEKBUo40JTCyujIWxGZmt8A2xm3hBKhmyKy5VfPRlyDjrr7EglDb10EBzYjd3bG5kEZPuuOU8YR235MXIlIrSV77prcGa/G7/f3nb//+f37aev5f8d8u//W1o8OKdYpLqQBwuJ+8El2gatrYCRe5mHkVhFCZfHcN68kLQLQzTI7bCE3LrCtgehSVMzOT4GTrRjtUNuwOjiKyi0w9ngHf6t3kBKb6ZA+GtuGq4Oo4ouBadxJ2GO3o3FQwO6WjRIDLNpNzv7BbONxlEWDxFzox5jK3RAUxTRRySqDDRYc9xkkyEioiuIdjiwWU95Bc2ludIaa2QnuTgaVjx7e8NdDMJi+sfu/XC/4H5P2p/umdP2ndsrb2yixYFhC7CW7xSjYalbd0jEEzEArIy76KSK6uZgihix1PdebXXqjuJyMTyQH5pvgb3iwyScYuLJOuVHUvFpcPmBFsKS1VDsw1qTWtBEhPGROZ6UfL+pS54X1q20o4Qdym0gEEuL3K15mal8YUOeyEHQmaUZCMJtK8Vp/upVIAlXNc9lxOrBqMVQryEDLIyYNuduwTfkw63K/6PESZYtkY17b3gmbQKBWQqzh2VwVefvX08rc/xq9Wa9/f7/tt61ZVqDrcj72r1ayqvSl0o6AMqnsLgNLuNsKanho3toMW4X1P6kJYjmxfnjshMMZuWBcehdMxIyTYxW4ExoBBeHe1RTBBZz60MqoH4FMjJa7oLuvuFJWZ0dIKkhmFYj9lvRsCXzjQjrlw7EOSCUyYgsmTRKPY8mnSPYTNAZ4LpME6SyFPvZBXuTiFEmlIlyP18Noo00HnGOwJsUc9016nTatouGoMwi512JDFk3mAGTSzh5jbFxNvI/l0jAxI6gt7n+z1uGaB5Us2zPefD3+cVatQys5lZs984x/pRG0HTpubGSUkVcNcGnnw8DZMgpE2YqIVoMaawFNTXBxVBk82bArTcmYtc3ElOPLHUzCoeoguqPTydQYy+fJXEF2jLypntvpstEguCLla3NihCSKNDMIiDpwLuz3vc0XMt0RJ6Vk2oJAqxuMeZLlvMIIK7T1r2cDEtvDytD/PJ0qjYhzbdczUzOE2z3SMFd4U6ZjqLHdBweYHuc9rtJiURxJKqNGH4BzdcGYOoWCxECQqbe6NI+igBtB1d6gZufwIONn+FG+gUzjEdWKuanIBFV095Yt0cTPPnCCE5W12+RmpEhV+FjVaxhKXvaCaqcVP7iT04XzGHTqmE6h1Z6e8DoJG0cCxOQAEa/ZgRrCsSiwb4S0AACJQNctigWgzDuboNAke8+xbjgSYL5wB9KyQS9NnAsiFJpMp2VyVnkZ91gyuH43OJtDtRkIPB1akACCbdLZzL+eIos7ntYMpnai1PcnRbEZ22QkUI6WA2mk4qk4AK9EknJYhty9JIbX2Cd1ItKDTTbgAgQ1/jxF+SwKnLMdDPb2SdoyXahBOC/+t00hqg/O0k0FUVyr4qG/QvLndXAttpStQLQS2WCi2jxGn883OhHFp4/xxDR4I5xs9zRYDh/gej24BTBbo4XeGyEEwutJ/JiHFwgiNRgCFtCJFWCuev7u8fE5VHTeLw1Fur3Gs0JQfC+Oa6K099e4WkxJxYV4iUoyzU2ZsZIy0YsW3KgdP5NTXjUoxo9tbTK9gdzQ7InPFlyufEsrse3RrCxvSvd47OuhiQzIQnUwrUtKZLAKC1axQ74Nxidy+h2734+0n5Lpcn67/7n/87uvt23/9c3wcX2ndgLmZUB+gJQWLY4YTye0A3jmAdVoy+QupYynvma6eJBkOlaQmmxv/f6b+rVnS7LgSxNZy3xHnZGZdUABIsNENTt9GasmkkZn+/z+YJ71IMs2YTKZRX9gECdQlM8+Jb7svPSzfURxrG5IoVOY5Ed+3t/u6+rNr5w4d/NeQX4CdgUIykJFWI3COYTIsSUdKpcggljyTA1CVIDCJrhYjvQKqlQqEQlw+Jrv39IW42c/UYsBpWn7UvSsXHJBgxDrFZ/pTDgpGux9Ubi09K+6UtBSbVHJhHNPJaieIAnSUM1yHaTZVXdpJvF/XojKUi3oIqcX4+Prh5d/cq6/Hvh67H9WBq4roQGbEiG4uV0UQUqf0wNJWxV4r7nTtbm/qlovHBLaiNpSuwDEXQklKrlDXcir7ZGeBEQxKK1FHO+OMyK5aK4VJGU6o1hgZPSW5KC0I612tILI5FRw1pHcHWxV05Px2io/Lz2ymHWDGFfz/jwldQTQs++MoxMZKNoeiy+GtEmrR8wV8lxnfCKDQbRLG5eiQP9dnanlP3/pZCAg2uX6NCekYqwKLADuo7GVXaP6gl3/73fpT7oyvP1/7DftqXkMKaXe31OrtyEy11B2qas3L1pIZdzvQDxNNPrFQj09mRST9Klbwb+PfdORXmdEl5wGaRyPa8/YM002Pek7xKhQieQELbu5IBWLtemeEhVns1IJeVuw2tqpbZDUj1Xg8sNGrhQiR4fUyBLh7xAwwewa/iSX2K+2jQO2GX19ViFIv12/a99rQ1OAh2FW5fBKIRDMWgMgYXXAziO1qCz3pfMhyAPoJNl7HwOw88xMZsI+klndkwyPno264h62ZoS5f2ByVB+W5GpQLZy2WMco1TjNrNP1Y4qibDGo2aBcRDoDn94lWIUeoWg49d/r7sNLweAjFBJBsFvvofNLHlVfv488n1OYqgpIcNKOBrQ2kjzBgEuBCo/oxGzS8v7H9CLaVtJyvilDUahupZhc5EjULFKbUJTkRav5HaMrKvJHkG5FADS1Mo8NuS3NeVk9XaI17yP5WGr7iXGU6TgoXpy/bQVozs9jf46NLiQBYE+zZ5qJEV4B54QFLookLjIrLayecdfpMhPL9g2NEOVa52X3V0hzD01Q9siMRMRXuVofDzChRivQ25CyFWN6/BKZl5D4ODEt2INUDrrgO0PvgKLh7aH+/q5y/egIbR6DVGkGEaSPFAMmhUfgROM1QHDGZVaZe4UMm0Ix2i8nKSIE+7Alg+9/KOfEZG8VEkKr2jlLnuIc1YcCC7SsgAqmQqrrprL+ujhR2lHtlwq+GfMBkdcmdV7aKaVi4NTlVg4TN/gqR2GcsMpnXI4Qenf3IlW3mbHssZ8ONERL86nbOeUfsRsPVsVo9uvkJ4twzFYfjgiwpAtRCmMjxiKYJoZxVZN4MqJ8hx17f0eo2BOFl2x7tchqVnYOD4Kpd9OHIVVHa2+9PawPbX65vH/+OoEBDpo4kkg82bz884bRGfeVHzM+0mBntEW/SxEi6NuZJGZn+oHojnRnonRvTHMSIvN1evuXLa4+sNtVSv6ObqlIUsDgXF21I9VHk+KYgkbyN0T+c6SyDac9Wa5JWapGJlKrDyANJ2hzDgHFakUu9Iu8rPr3Eb39z+2YFXj/unfva3Xrb9f75+vHr+5erHp14x4WOlbDRCGOYlQ1NkhqJm/Gct+ruUulr3+un+vbTl08f+v/8f/r44S+v/8v/86/v7/eg0yWbclUhrCQO4BqMLyJ7txXFAKMk+MxTn5TWp1vLuQbhcFagkqORObMHQWWTtMrE+dwKOpJWxDNNc4o/h6mVcwGHZCA7evmJRMNl7ORgy729jUShs5JQF+Ddy67pHJ7eLJgiYpqCHHuzZJ3eM+B1dCwUvRebVXM4psQYBbos+fWYSaA6qZjEWTmlvhkrsmNzO3YD8CHYU7519fv7jmAt9jt2v39U9u+uT/pWn396f2y+WUDfLqEvBVWsygwxdlRc3ZtYFUz5Tr9b6NSESpUY7UgpVoxQnjMA+qeUgNW5PfEKAYIlpMdev6aBHI9ZLgsR1jLB6B6RSJXxvXVuaGtrnWzoK1Gj/fSVZVHYXC60990HWo/h056Ap2VXGFDEwd2TSDf/ivfIQV18BMHYuY9FWzI8sikwnTKOyJ/b2I/2uNIHhXK6DOhco4ZC3UCEpRNN4opeHdBC7A7cpJL0jT79m+/v/3r1az6+POqX/f618W5MREPudre6Fb23utqmUZJO2y5ac2kgXyCRHYqSOKn+hzR363uDFWBH2sg1xvb965vluBv2UTw4W7+HbId8T4FxzaU2whtM0kg09uatawddCpIY5+ySNJGTTHIDse6r1oMXgi1s2sJnjK/MX2R6H3FYBUfa4xl31hr4CnPn8vSJkDX//aPS9kZhXiGYBLlufuwUkaWCxwgYzUJrMvkA30veitpj8+AfZsLDjiZRbmxSptWJjJyfR57GIclzlxa0w+6hGuMr6GYPMMCFboQv/bGx40wSAEhjszi9AUPtW84wrhhNQGP4NB6AWVxj8zXWPSMpsRjlqEeJBa8lMyPQkoA4IoyWHUWmPOa1HcjBs+x8ehac94kaGbKWaLYmOsPou1+84W4MARw0kHIp6IADOAuII/qHdSAwtjQvkpWYAjxUIFWwUQGwdtQ/7JmTyWplCM0i7KoDw5qk86u2dTEYX5Mm2J8tZR+6VydJ/WlAspiBtMyJ9H9gF7SIuROdNjxbknfgoyAiZds9SMzb6fhDB/lwfDtmnFi05PQZZFTosYl6JgxnKfqNaNDZCk5dP1l2Z5jFsILE+G490eCZP+uBPaaFSUTAD8/sCdb+KgNgKrR61hFJYIb7rZLtJAgGxfBRMd0EFuVjdSPCiEZA2Og4jhHARnFHnbnXs5CR3jY9Zs9uZ9DdA4fJ5ZEfkJE5Yi74N+hucZElAm0DaCFCbI9EqBZVPNygSO8oDmUM03kI5+uO7rcxZVwBO/3njTZA47Yv32JjkQKoKPO2PdRitkq2IIMCUlO/BvC8uhTdAhmWGklQdByzWPuCI9FLbNoWb1aqBWZR0yWintPCkqpg+aFGo9MshN233d1ONTeF2SoOw+uRzd6SwLy8QswFPvHw8y1qRHWg5h3zyRFTeGBH4bx0obnoBj6ZWKFOpKNp26mGc2wkkcFY+vRNv97uIrAulS8I1KaALcdUax2Cd8AFqIk7yTCYz1GiebMNruxUMENBavsxZ684+T2No/o5Vtt5fwOZuN/ym3t892n98N3HP3z38t1Nvkdr423vh/D5bX/5Un99e//l7e3HH68vj9yXZL0rIhvXhHEOR9gDU8QKKVvgY299ie4Hon7zze3f/V+++fH9m//2//gqvWY8SD3ItEKNUfAuRWyB2MXQKGAoaRK4fSkWbNYdOMtJ6GMaoytQ03eYZ7qJ3JL9VIiOvo24aEVoN+iYM/NwcTZ/tcSM8Zu3iKjkkjDe9BIivQJkdNsVCUFlXXsQPampDSxEzeV6jmOnGyKd49+242ViQ2vB79ziAnULQiwpI6o6kC7rszJSCTR0mEluKbaw0tEcaHQWC6FK0K1lZScZm0R1POqRedeqBT36a7O+f3/93Sf9+2/e90/1D6mK7r7wWLmo+rq1mNGMqABXZkfHta/o7NWr8VBl5A2o9uXZEauNJ6oxbl9QNXP0VBPiqsgFQlWOZoFaWFAvyyEYSWxoItCkFSw4cVhFgh2IFZAyIGP2vyLUGBjLKo20tS+ayJ6ZLAZC4SG62wzzyatBe+gSrGTy/QWDtfMmYm5QabJNCKnYrJbRFrrrzWRVxJzFgfLaSKmt5AAx1wnaWacx3kdZjbKGSw26SguZQmNjxbd//Hb92w/7dy9S8rH7J2Fvj0KNFlqFq1Eb3WUvRTemfhA07hgd7UdFMZfvGNjNp/n3PfQAGIqiuRkaEu9AGqSVtXqjfWFB7tcWZ+MwFk2760z6UaroBMwxe8Lr2ozQjBbV5tSdjIUMSkxGSgJykRc6orFT9gQHy1tFiAVJ/imGJFYo2jM5hCNhEkCDqk+zqfDrI0UsoNt8rLXeBowYKzIKFQywTovD/CoBbueoTseQeVdHjAV+jYFsmQRShWch7+S3dOXf4G6hrGdDiA+qHnD4oEYQmYECogSwN2MCmSGjHSkqJmrM3QVw8K/xWBOWYe8zj4ImeziwY2gF28HVXDK8jKZLUksnqqN5DEtDeJ2UFjLQvTFSmqdr0i4Xz+khgt0ErDaPgbzPT9VSnh+m/WX7RYI7FNhqHfu53J+Qx5M8M/JsnmEteR/9zliWbWaRaK9TInP6kNV9X4GroS4bYwWiW0lP2pmSycEIMzDeNqkzg3CiXy1TDTlAg15BZnaOo6FIWaKJabUbLNZVOIa+fBJ5az3yo0GWQdE3cU+pxrSZYfJasH9V4Dpis9RJf08qhTfD9C8/wZOy2XSwZ/qFMwPuLLSZaDUvBGNQWRvEnRUxwC1dFWMBpiaq5lgi/HE04cHdoO7BxVXzCrWYowQzyWsYbhLuGV76GpHumvPAgyeXcAp51As5uRZqZao7DnDoBz38/vvkDsc0WTt2tsCp1vIv7Z9/5GbUBIAForp9csjg0wATPnwT5owVjOlwNqGnScY5oCOpc8Chi4hCJQKImtwnShwHyBx6Q9agYc+k2xQ5+SQLkD3dVtUdVuY8L/5VbKNQ+PA2wDGFdc8kIOuIZuWdoXW4b4t5TLDCeXs2JCeq/Iuj6gR69qB1h7bEiZkAsc+Lw9levA4ZMWlvZmD4Qyof7UOg+nr1RC3i6EOAJNXyETAxBz27BP0/Eh8+3F4+LgaE7mKluiDhqu6y4rlQfQ1Lao2JVixGM5HhL5mtXnaJ2FLIYC51J7qGyQOi3FIuZLCGsfN/26lFd7LjdsdvP95/++39h2/5h29vP9zXN0Hc1ZVUP5Rfdz8+8PHp/qVffvzy8pdPb//tr9dffnp/39nSFqNqkbqiglXb3nyzry1eLGUG9rryYn/+pYD89u8+/8f/6ff101/+8//2maBSSyGursum/92bc7R5om/N8la+RoE1lyPhAtwRs1jXEcOhp9yL9nwQxUrcBuCqsKObQsiS0iRQE+ZmWthksdHfCYG3UNWCFOSJJXo65IaGtq/NKM5xHPs3Cfrx8z9KW8tns5TjG1MhFtwb1sFFkqoWPBW1bjknkrSL4GYGdwvl/PSigCaESwpWK3I5WNCDSmaq1Ee266UdaF6z++vGZZuIvj7i016/yx/+/uNfv+7Pf/Z7s1m5Y5tSLnSCyVYRUopaLVQ80KklZOuWTPJKZPdGBLPQIai1syHHemR3Oc3W2u65uqwUQ0yQgDoWVI2I26nt7KSVOEOHIMCSsABq9+SZDSZmqMwg/J5x7uDxLM2Ovz2jF2Uo22yXF7XZwwl16SQVmptn955QBjOPnsiMzfmb7mZ4s41BKjEgSXdgvHrh54QR3X2iGFwI4SjkRncsVvmOxjgErV4FmcnmDnz47f3lj9/G37xuqb8+3v760EPa3I/LFFPt50wrCt3VW890VIsQMPc4uwOTH9J+4kmaySGiZt8WgALQCg9Jc42E4yBqlAgI92g73EqYRJFIvwwbHZZBDKDvJUPa3SkqUnbZSk7/CEaqdkWGXvzJRwSR3RAu4UPgIUmrWNtCAjffhOV/gI43CFBEtYZvBQkGazfP4GG0FlIETzRhbKe4OXgWQDTtfo3biC6CmOG/xWU3FOD40Kl8HPCBzkqTZGAGo220USIgRMCySWPjJgYHt+5MM06OX/WrD6u/vQVLhoLCKUTzqA4B1WKOQsrPp2AG2fPaNNoCx6cfTuJtw7q/MhaHmPYOD0WVTeQSkd2dHM26vNmcYB7PQIUyGu3s0Dbj4AdrFOLGRxsIBJZlHMZL67TiRHQXn/u/FxWbLzluQE9Nnu7GHGmqwXDz7rbFDlIXvflZ3M2AevpfnY8CZJpSYEMLNsCzk44AbW8odVr0yh/nZP4d/39095Gb6XzzMewtLQkUQ+GG6xnWDthgisbkuL9cT2PEsdjHcZUaXWmjiP4jyAaXSE6VLiFuuwDQmpiqgTR4HPGS1zBipDqY18PODOOacyFPCLbTNL0CN5HqIbEhbSlBp0OiQ9FTgHpQUiuIZ4LThOZ5uo30fgppNnAE1c3h7A/RRqD79IxCSDzzf2YGJcyDOiuPILIBoN2JCNiWFkBpH3MgJra8oQVXTnKU2s9lyM2hsjqB54vtdNSPDN3aQDzzzRzuRien32CiwIbxOwgpCbKd7w6RiTA4BtemQRIjuiOEdji5R5gefTYH8CBGxaKIKLS3YCVttsCeLDdvTOb+qopMT1DbO5OvvvZASopWwHCuEC8Rlm3CjKjHdPaEJbgdTbOTzIYjyU3zwmSheCYWGLuk7uSMfHR63ukrN0NBBwx0FyLcK+1Pwa4zip2iEOlCKhj1TVvO/DIhltW4Y0xQsoXmBoMOMHvN9fopVhIqn080v7Frb6i3egVXLDN1oVbHdgf9jY10WwiTrTjUyu5capUK0fk4uMmEmBmSn1sCWJEtRt3cpZJ4/Xj77pv1N999+O3H9Tffru9fb58i7sA9F4MQ31kf4vHQSy882N99Wt9/uH36cP33D/nf/3p9ft9fH8IK575FmXr3qjYiFTggtvC2ej2yujsW1l9/98c//Mf/69++P/63f/qHa+mV2F/5FpkOszVZCKVjsCYXWPJsdVIOQ8+I6hhdGLz/zykupOFUKCfCp6tDudIvFnywxVNgMXH1IEUusWwkozUK9jmFQYqCkIiyaaTJhGrElv6JRw7iAX9MvZxIRxCNDIgFrDGnDsoQSqAUN4vy4hbuPcNJTMzIsb9wFvTQrQykqIl2qt9RUhAblcG4qKxT2GnxkZtSmrFU3exglIiHyAtiv4QeFW/9rvfXT68f//S6N4pf3v/5HdftrM1mNqjazfAVUUTUulXFYu5Q783o7LWM32dIxQoFdenGrF7BVjbbWjuIyR7B++gmiE2wLUImhVuKYAEuuOsT5UHzIRbqa2lCoI+dS31QXKt2gxg5IBFCNSPOf+2ZYTKtcBYwmkUapZCUYSjb2o3nMtdRU6kktALs2R9ExkmktVJTMMlNoBMQQgZzDwU/sxRB6yZHpc40qxdgWnMJkshUX9m5xYz87vb6P3xz/9Prddf15VE/SW/YvR9dRcWlaqqAAqXelLq9SEZcuwJR2gMgPZeEYdY4qgEZLA0zz8ZmwWNcMMLmGdGgonFtivZ4Dv8jyq+CBY/tqoeJiM/o0dBVHTIFwI7W5hIZqBWsPUEITZTRMRUi5yhFlGgdOBLVilI4Ml4TzhIBw/zt9UVwXJU05bIHZDkKCl+a7ZSUdIBrpKVVCqPx4MKvxHEHA9qAomq6/tBENTPi1NCUE5Fmeh7LiqEudvtGVwBUMW+Awu0JFIhstetSLDIs0FAkjjPFuT4+bcNJwlNSGIgeIGOa7wYfm/dHYHOMCnjemBSmuFfhQL+gktloKS3TSUfkdFSYBYK2wK4S2W23R3pFapt9pBzTHdpNtGhvO2eQ1MSAxrCFzLCaDfRGEKPL8NTjSSrBVmvEV3Plu8J8RrtRAmJ6JnGedoOzzwHUo4v/oQNeHMorj4TzaIrR2I1qqFXbh9pziBZpVT7cjDUyF83ceYTTRCMkB1GU0a0oy2GC5OACBb9HiRlwBZANK1WGSZy/RKIUxLYEfvByg/Eg4Vz/nv0wMDr3gN2NQsdJLrVi3GOrUeoe37+6A6GuJnLcKsc3Ql9HRKDbKYdH4AKrns01eFN3uBK5hZikRcuU4CVdi+eP6y4P2jFxo0rM2DgbvQK+WRs5FMTsJDbt+JEbEpZShYM7WuJBCD3kqGF0bXSYxn384ISgqGiS3UoNm4xeiu3ty/7Es8XgmTNtkY4GD/AolRrxMOGbwkNAH4+GtaRYVLvYxI7BAdM1J+po4OGC74QDnprzgQBgp6uHgZG/nsyV5xY3TP3QRcuvQRp+j3EidSMSaTEdQ3SDT8RkDY9wnOHT2gH0kEYU0Sz8euQKJYERZMeM+nDFqboB680aHE/3ZPfMxYhjTNPsf7MvjAmT/sHtQm3ngGAmdTomBuboQQaqTWX47Ons85hEuw69EypJS3F7yddPui2Jlz1Rja7qR6MvPRRUhroirnJSYMcaWXosIhIqFLACUCO6+2EJZe1dTCCzeje5kA1tawBmhGETzF1r4X67v6yK13hJfHxd3398+d3L/XcfX76981vwZcUq2Ejb6JsQLy+3KkVf4EJ+ivV6i9c77rev//gTP3/eX97rPZ14kUu1PUKpxez3ynui1eJlY//m58/7Fnj59uvv/v3r//Dld4//+Z8+/7kl3la+m6BCp51G0dVYYutazOlC8bjh/9VkDPAEtM5pHOriLRFDNi1mQVJnBnPUyQZth3k0apyj2fDX2GJa/0aZKOMwi23zbWQzxBofiha4LS21ZHwaBd2nmVMwEa4htmFhQoyd7hg+UMFRfSvTwgSshN8sntwvgWdnCKD73cipVS5zIguuH8qgqrZXD4o5zGxTsQiRqmKEEOoZb68d0K4OvuJ6x+rqeH9/vb3+hw/9Sv3f9/5zlRh969GYXBKWg0BazVTak4YbNtMdNOiom1axK8Er0lN1gcLVjKipax21jhRGtVsKbI9axtswkoxMp6ONI8SZfAO8+8bnMnzhOXvgoD48tzESnv3RoziN6athKHDkzQCgVkPUCreD6zkX+fYe7Yho7960MFiH5+YUxxt5qZBaPdz+cKgD68y05xVSDoMQ/ddFiFP+AKjpUIk6k1oT7IwkazE/6MO//jb+/lN94vW195v2L4/3rxd6Yyt6ks/aR2MxoveeswwDwoIRkocj4/cAsNE3mOqymWX6Be14/dXb2IMdg4fImcjGZJfxkomXKZP2Frg1G9BwMQbO58TGQQEMD1UwtYUFqAoAOkle6hubmaJY6ptTyQmAt1it3cBNVHRVknveCV87CCd+xmT0UWrJwD3yYNvltsRZ9wYZ5cmfdR7LaA+tZaDH44bCVhrMZoETJtldEIUY0yj6OAZ+BedZwprUg3kqLfeQ0+UlNAocWct8c7TNx7caBCgyysqKM8LTdoOGVcdzo2IkTgCkgmMBz+xBiepSeh7THMGZIfsBEBbXoRy/RBAnJtW0vOsk2/LfEQ5zgG//NPP+hl+BeuLNcTIBLc4Mv4uOHLbixTFbgp5+At/ytBFfcnb5fHWJ07Y9qeI6qLU3JgDhycIm9JiDaDRVQkekN2jCpNB0iQzvWxZ3O7RSI+ed55p9QJ0+6uXRuAzBIrnVa0YZJMhmH6O9sua5asT61cDg+w54FhccamEkLaLV3lZlBlSOlbQUx4v2FA6eYdAw11kM5JXQz2sIiu5mjE3ERy2MYyTnz/IfMM6G8ymKVFfaDjjfv6U6FClGuDjO5I/dbz30jHE4UyfeT4Ku+KS6m0ypUdNZSzzLHoiTC4HnzM8OpvEYn4MDHTXkiTbK1DT8RIYLOW3cxNxBY8+ONnfxjEPQWF9jhzVbcsyH98XjHDsvN5VJdNnRM8i+bzKPzCO+9Jdgdd9M64fTy/BhDCHZPU0g2++dFTiEwNXjHxIdhOA32rzCfBs+BYaTt9x6luu2hwcnp9cAN3IgHM2nIYgpoP3XeBoPiJ2cpDzQPXTDgUaXIuFVOMgC3UL2KypgOMzvjgkPa6H9zGMg3FneQg5AJdXwV6OIMX97yTfTCotMzuCPY+rAv6A3QxOD0zCTDNMq6ASDySou3RfXPZhCqiOVVc3dXY3rUZVu3cvojcBus/u1FrQUY+iJDrq/CooLxYLUTBK1p15CwhUdEdEosgMRM3Y2X24vC99/tz7dbh/u95cVH278+PH+w0t8/4KPgEO8uZDmT2BbHSpzR0c/Ql2vr5n9um73W95evv54v37+8f0frsC70Lh87xPOSFVga+PiWlRjVyPyfsV+W2+3z/cP/ff/6ZvHl/p//c9/ffy0d8w4yFx1FYLVnSQCi9n1JGZ8Npz9MmYqw9mYh/FbnMnF9gQpKAaHq7VC8oToJ1rtRA4pR8xtyFk624GXVbYY69DRkVFdQZBLkrr/RS5pt0QssIJAR7Xs4AKQlhkSvpQw46IYGwquztsym09ObUgEgmsQ5vTPFUSjupu4oy8c682gYz1Pas9Qi2ZzPapXIBBcsSDJ/cV1hPiyTb55UcHCu4PNlO+FVfxY3/6bl+jffPlfPv/l8+d4Q16BWl023SErel2rBe2OYNZmQnEznr2xV0UhhV6wQUqtjpB6bWBBOyw/J+GrkMpmhz+wniTz4VOrKiKaPTKKITc8KEnN0JJf15YcwnTgKgodI7cwVqRuMB0HUx5oe7L39Yw7iYQFHL5F4IVuQzkP3QD7jjcaQ4gRZabJ6zbFNZoLnTC0Qb3mnJH5jS7fXTn4w6FaA6EYfEa0k3mzb+K1+r5T98jXvP2r+/q399v3cV31eJR+wePqRjdio6s6qrekFkoddfIg6PPeLm30U5feRms0HhyesT8Qrrqa9CoWlVyCJ4kIB/yM4RpC60rRE0/PPnxC4uCcOg1Ph9HbmP/wJGRrgZ3P6Ba1kUEwoktkUXk1czUSSOWOnea5A7tP3Cr27gY2qCVPPQOZA7wFmn36Jfz8ZSZ6HsOiACJdHiOGDml8+KOw3tLieSOoDuBQWSWEo1bVsZ/PXW6FwQh5yrLfNpXYWpMsouk/jHuE6E4nssyQNj0Fy/s+ChkB1CZjO3u0LTW06Y0KhmK3v2wE2Aw4T0csusJn2YDAw1sJgIOkB+70P4YzzUe70vIFTdN0KxHV6nMHG/VwNrTBxpEOOfaGClkg4ddwgPeDDDvo0JHiDJUBcN8EsMBpKAz3ULVaGgWpUApywFOr6gdV0sw6oyCaX9V9tNYBHk39MKrW7bZzJXOOK0IZKo8uu5URXRWM3haeu9zY+oTweG2Zq2UA1iF47Ein69smYQ9kqyNj8GZMapOCQ2gaIu9AljqACaHz6ZejPslquPDUDCqzWN7UJEE4+Z+zi1tOIcc69PgHwsIjb1UnSmUydgyJDZwAT+ugjapUMbl7bB9ESkOlW992o9oFvb5ZXTHlb5MxGI+L7OX8TQ+A8slqVVfmLPADdZ/BoWPSJYCBlRpOd9aYtW6Exp2Bph/DsDbeIddsjTCd2D5e9CtrNwuxSaHzcDtGFDf6GLF6U+Pq+JdgfXg57pakYLZqnqUMJ2JNF9tTzyDNATm/J0MOAnTWMG2X5HwFo1qwLcsHPE1iwK4fqSPNBcGAgLqBzDGQqJzcGACzfaUOHiZi4tDOWe64SAmUA5R/na+A6IQTBHxJ++EbKDTpLWA85zxJcb5UYJAWJFQT5Wu7wTimAbAoguFAU+dbGUtnNpo66h6c/zmve0AjK0+gkNZ39ESFKiqbFQG7iKx+XUabAWGvvN2ib6+4fQytDQhdfbGIh1BSYbmzFiwo1Y3lnCpU9Xr2UxG7+xahDsenCn0REz7Rcu7wCoYUqiBjZUslvghr3ZJxv8XHtb77lB9XvN747Yfbh8xvbusl+na7BUTnyvUTlBQCa+9FVKx78NF9X/HhQ96Zt3v+1w9fccfjJ3xmv71XANQIr1HETWXpTRC9u7io2vH1vRErqfvt/e//9y9fPq//7/+t9mdqRd/E3h1ZuybzrFpOh7bHvAFkdhfPWWZpsi1HVBeRvkfN03MYQgZ7cVlgNI5KUvZhRrLGH2VSfTJcpsHIcHN3C9HcuW+IANlW7Hvai1Yr7ZLr3hF5ZvBuRTudZ8FmGANb+eRVWx2JjCU481Mr1RSTUDFvKTQ7FglxhGqblT0uNLisA+Q1U4OT6OOs9OFEgy5iYZGKrgies0tbVAq1lI4EIqWOEop67xJ1U96j+EG//z98+OlTxf9an/+x9UUdhtwAsqI7igAzWB0OuJJSaV2UA6taouWvWIitxo2BhKMlmIhpdoav8ACpE9/ddub6znCvkTGzuThO0JgQgdKiZkjXUAATSnD2SfN4Dt3yGqOJopuLbCIJGkiHqDljD2fN8H2mHqeKZY3OerBv09DImX67dXTxhNrtlpgTj8QxQ88Uwi6mRyWCsj1IdJl1u2pJQ8QH1FixKsGPcf/T68d//23+LurOx8/Vb3W9C7sFdJW2UM6AIaqU1E757ArLfEO9pRH/HCDfQN620scn5HyChgyPw8qjR7uItHwgcu5mNRDbkpnyPXGGLGcJnFU/clAnO79a8Mxl+w9axWYo5sY6Y3bA/+wCspGiJq5wrP2ml8Zy4J+MYUYnwHHcFcJxk/56B8grp4JoIvQIIOLIEQZTgIBJJzD4Sc7eiIHR+miXqS6vPt2I7J5F1o+WNTboLkYMkutQzFHxcDLOjlwZVDTO89XnHWAEt49L1jOPO0Cn8Q2lokaTTpYbUYmj9tvLjWPoz0A3UnJk8/icPBsmRidHRES1R1iTTARdWBitZgXUYd+Kl8NhFg77VITjrswJQN6yjfONsGwc2AMZu2khMfyhHDY9Kyigicp5flpwxo0OB+I/0Wdq1Jj5vNAFJtjQMGv3UwlooNhaWz6pwhilyWTwQAnsrvMVpVBHoPaUGoya6Jn+Nq+Uk1T60JuDc/nv1GDsRr4tQ/HFZ1KYoCptLnUeq7vQp/q9h4QA+9yVwROCYVIY21Y6T3vzr5gbChohLYdc+i/+NTHpkEJWvHMg7BhZINRIdrXCxlHqielZ0ynCh+MJZNN0ufRonTis9eGwjKj51oVS7DFVaUhebyaOw3ZQdxtWGaovxE2la/nEzSfdHiY8DjxMWM1mzeBwdWZp/N24hhOAKKsNz09pJRWsQpikVvjmGiwBZOTxjwlWUZn4Kv5KCRuKHLiPgFX8Q0O3gs76KItgy9ASEKbOehilDSRngFBMXsHZs1EWBg6QviLscZ78oCHf+lzGrHmUCaELDlMsd3Chn2+Y8yQwHJ8xRpED650SHPjjELoS2QXGWR9LCnQRrsgsE6uYfLBu3wFe+Wbdb2v80HgGKU5MAc99Y05jFNzh8dNtPpCQAZNuYc5gNgXrcTWncpWhVADJXAv3D/f7KxFOGAi6w6l1tUpPTAusKCgSVb3CbwnRvfvYeGvChZA++1vIojq4JIIlk2AWgERdvUL2HcWd91t8vMf3H+Lvvnn99BKhzhteQ5nNiEjk8O8A5fK+DLAbN9blMsDOZGdy71vmur2Acbsat3i9659+2l+/XghVIzfLMfSkmHt3IBmsErPeH02tm8Rv3z/+dv3b/+N3bz/9+A//H11fd2+At5vApdoevCF3GPskm5kKJJBx5rmDPpi18kEdE6BHuzyIjr0i6ex6GnhzpF1SyAFyil7MIzDTjTMEfVkgkoqRj4CdCbpSs8VboOAhO1I1p6OT7u0eMMnujBQhFUifPgMFp2jzmAJLNz+KTKNcPKspEpPQO0LVIMBwLTWCKPeXQCpn02DXRhAZRebu3VhrjfUmCSkjvVfP/eX0CNsPr15Gf5P4hcl3fbpe/sPt99//7et/+fnzf3/bP/fjC/odtRUdL/oANB7sVc6XD3bfNDH9taG4xTSGO33QiC/pbJuwDBZQVwXSNXCCIZcoViIE4/WlkvgsuOMBJgU4XAdrlAbzXpPSHpzbA+yY5IOWgHBk+hyaTyCSoEIt5WwTg0rDMJM7NAcSHCjBkl3HG/iIm/vC6IYnO05uowdrHx/kBIzPXTG9BDkAiK8yhwVN7nm4OKIbAjOy+c26/f2Hb/7Dp/ztC4n9uetrvb0XWtrsrqvaG5YoVgGWKnkaDfZGYwA93yjww5aBzfEYz8fjyPMZu6gh0DxVzYk/N7TtXM4zkzlYF+s8U6LPPuUdzGUkXIbGbJV5Jky0gptKdXcXubxT23pg6W6MElzbYo1QgNWgdAEIRTlAnTYrTTEXJ5XHFO+sK/Qa6clEPn3TWCXYRAcZI3pBgctdPHUMbmYRpOhdSrC0oeyu0ugpOGkjFgVYKeIbNiz39bHsp7iR6WS8Hu6Xk38yTrBZI1w8Nj8F2R0hx7t6EyMh+pcqY3aoBiZqo6Cbiay57wX5+2uNNgWEPy+j2YbxGpDsxt5crm4JYqgSlH/K1SzXTnmU1IhJAKAn03h0DTipy64iGilUhEGBwGQoWs8RgfmD9MTx7UQ0pmUHr6exmIWf8A5lfOEQLIknXO3RicZTGv4lQeSUAjjAJL00UD78Y/Lm6Xw5W9xU1jUXJ2Z/AFm1MlPdQDtXzY+FWUhCNmnZmb3ny2oyhXEleXnRWRPMlyxndDcENNuRcZr5Yp69mdlIlAfumBpLK5Vm3SCsG3Vcf9JbGfErlDEsXowGtpxLlC10yOwVCRSL/wI+yPDQP++ar1kZ2e6ZElWFCIGurpCr28OitXRZozS8B1BexEptipAIRrcaWHBV3fAI848xR2uAipB6DzOjY2hSWdrN2TRa1kP6oSmel5XR1p+WdUvWWc7M4fwZhFtvoHZbASc9CohWLO7LF+HEQgvsGFkBpMyxQ2AyaDHuLBmmKCqY5U4sQ1eRKEWoOhIw0+YUQARCNQa4gEPX5mloHxDOoT/7hhMZZsdLny20mHAYlECfUKAhKVJ2dw9HYEDEwbCE2+a8QjaksranHYg2Yx/DSrF2FMJ4ujHAWQGJ6gbS/AzTdcXdGINQDf9gMWkyYNjVTNDZZgEhf1WGOzG8o4nkBMnanhcBkpve4vw0WZebARk1i7Vwv+fLC9YHBVvQTgqo0gV1odELcSVPfDIcAXkOZx9ZOXHcPgujuhtxG72azS6IIKKtQ2jGMhEoRiBut4rFWPj+29sffvPy24/rFomqZCWQmRnzGRY2rog7TSd6EQDJdP28H7N6vVFX92394YNevrm/v+ZNV3D9E/D1Ub0BKjbFWDfnm9IwDwAVrgVe1+pYL8p1/fD7+5/+p2+rfv7n/4zHV+49BZeEXL/l4QkENoASlhO/FZoWVIz8Fr7H8asVWFA6tM2JXGHr2rZfwxYjHwAmkUreRD2SdTNS26pPy2JPfww7OjIQJIsRzOjatl2sDHYQZfzXq2F7+/P3mArm7TawAhw31EJwgchemeIVytOa4mLN4BCcG4zlQJGSJw0EuFrVSTGjz2Ajq7kigt2eECEg92S0RqKRgGgbZ/n1srhTxgXqUpKq997Y77/c2YhP5A/89jefPvzp9f0vb7/887X/addfobe93mI6OK4buBdvQF3F6H40SCwLJpu9YqGZ8gJPjGZJRO+IiAkd8RVN2hoVWDOhmUlImqV2G6QViACMt4aw2nTsaMbUNJ41YnsLPtpzgjEqa1e9CAIxw74rG0BYr2DnxtyLVsXQ8J/V4sZcLOtsaxrDq6xx4aYSYWBHdCRGRHiHAazaliClYV+0Rc/GyntYCO3s7GWrP5eyo3+Tr398/fY/fNDvb7sfevD62vXe3Nj1dgl66yhHIjTmkR74hkEVlGnNrhduyhHwEDvcDwNQKSOhUoI6A7yDcc4m6kkTPNJuHo7lyMVr5jMfoU/MK2nZPWbcDEPGASMdaQkwioiZanXL4WC9bJWGJN6uXk5AoTp2CnS3y9KMfGOU4DP/+6fw/4VRNc19q1kJCT9HbVyKZPfoVxLsEkCsGJ5hXv1WBZZl5129zTa0izurem51q7CNeHj0j5FR0IuXvdMdXLeAXE8TjgXzpzi8oP2Ck/LhCOxIWe3SOu0Fk9siT8Hl0y+NKjQ9PRkh7RMJGtZcM5pggWSSWy508tYiEZHoU5hMcoHl3iDKkxytAIwjznZvq6cpDyBn0USfqJPjkpHTt4zrCv5OPDN4rJ/qSwzKS9G5Ome9O5GhxuBGdzDy8LFGGKSUahSYRqRYwkh7zFpxNlYfHoadPKAGu13K5gEtqbJZwUfBEySObDlqbkyaZgQ9OqLpqkWBzz3Ya17Dl9kw2jZ0+6nWGBkH1DEoZqOn6TNHqjm75Gi3vNQioKbV42j3cY4IzwGcA4qiy4IxyCvo7Emy5rZjMqHk8OTxsk/+8Qh1PGvaN0xQy4BIQOp0Dr4nHEfplRX+NOqJdNuXIQbLsyyDOXRVuqb+hOWIaWDX3hAh01QAWxgdd04cZ8905x/NqgNLxnJ28bDfNHDWCQ6RxJnhejQKXqknY1CyAtaBO0doB4gRu9t+JRxK2FVyPIq4ApLRRr7Q3ZlykZkJGLOKg677QNjjBo0JUfVal4aWoMPrYVRwAfe4kKOfNvDYs6jDejWn2KUfbGtAI45P0zg//Wz6XrCghkMCiNSvMdBQOERnrBJNZqsjJrNHJwLMz83zEbNp0d0UkYJyOhR8h88NpjFrE2omu73jBKN0zlmjh5NH65FTXIk+G/75yUEDEyGFZ1BTfWnlrPH57htrxf3ljttrUFWBbSEnu+Vrjx5CsFtRJow6ckEIYkIC2dwQKc5MVlTEviwRIThlsUKIey1ELMxbXoGbFqTMm/720/2PP3z67af16U50lwjmujNQ2SsYCmQ21z20uzYzWjUuq9G2RoLbKbzIO/Xd6y369uODcSWordW/gO97bzaqFCliwRlrsFsokpUk3+u6fU6s+PSCf/X3L4/Pj37Lv/zXh6pVthBFonWjKgw9meBw07Q0jXaO1HOzpx3ZanIRDa15dRmAK7HMbclG8oHdOYiRCAW7vRgIgOfPIJ35i7A+IcCl2yJv9OSNdlwetWA4WtyREW1yOgBnOM1gGBm3m5EVMbgQ6mxuOvr4ltlo3EjHeDiLAA4nmYsc6h2TQnDteVS8KnAADviANm6DAMKoVjlutVubSNtnQtlRDIfPWw8KsKioRnFHs9/YHcEQ3+Je3B++3F7W7Xfx8fcv3335uP+Cxz+9vf/4pp9u72/X4734fnW1HoPfZRGT5hKPqAax1dp3dvEWjQb7tNdn+Ew5Z8+4/GBsqTgGjcmQ9I4VlPFwjQPD3N46mA3U8AXrkZ11rvfzJHgQCJxeITOXPUYvOJRUAzv1bAHQ0PDjI5mZw4NAiMp1QDX/GmYHwxVMVu8r5dnSabcTPOH3PovuOjAE7p/VETlei7LV3JF3aPHl08vj3+njn76NH27vLV3ab3p/r7qufmBv9G41Cmh3z7fg+iEj3KSoHpc0fFJ2j8LE+6yFI2dj4jM4EDicikekTg8WE2A3lr/ReZhzDi6Hv3n096VrOcIZ/lXeDPwTpeY+7dFaSAqzCj1XnoaXUDmxHa2KyoqHKi3l6hkVrCSiltjzW+AkUXgOh0xt0CWiPj06pk/QDwZ0RsCFmdzlPttwmyygSSRqKaFqog19N6cdz0cZRzzqGlEp8lCfTqQkoVqB0nOt6lZoMxIyezLC6EMhnDolx/3Kygg0JqvD+65zOWAJbpj3sf7WDOwMojbMeNekQxOGWqAH+T7CKE7W0ChEts3wvc3F9gVzzuP79n3ukJqeZ3xgyKHmLQSxWAp+z33oTUcH0lipjbmj8mHQrk+ewu/yCeEHVQLSMUTAWBWnUsTbhf9FP1jRJ0/dgPvIE1DUCfuv3mBmCFgRYjznewv02dVtceL52WcyD5SKHRgVVSmOykVGezFuUv56VGECy4H5bw7+7prmmNTiUbHKZpE5LT1Ae3DC2HtIdHOS8ecjMRdDLkcs6ABtPhstluXExzxnS6tOaX0JBkwds8VzPVBq+jVBdJHZT7ZhoDuDMsc6O9ANltuYasBt/+UUk7HRyLNXtS9HZwlMZ4DtBX4zNDdEeCbz5mfsNSIxg6/NnKCkCB1Nw4zFxrfV83T1uNb6/KEODvU2QAgOzRddp1jVXFTz+W+4EM9EUU4rNdoCVOus/EMeLzdBVDPUo2U6q4bI1NOQ7BrZOXehQLTlPrPzg4a4en44zUU0J7pfpIG3LMTkfIBI2CI9Ja7eT63u9z/x1z0OFf8ZBnti6I6BukayPHo8U+JaYMu55X1KJIPoqTbEELOcQDzDv5UefCL855T9k770wZQE+d/HCdCbG8nv0HneCgyVQE1TmVckBNAx9tMOMY/qdxJ71ezuCK54+cDba8QLsSR0kWh1cneXM8bNmiTCZXIBQHBTnBGzW7NX0Dq8vgN+Tdpe6Wl5SZKZYMQybZSY7slgknGr33748IffrB9e4yUjI1J7L2fr875W7s5FFshFldDJGxtiRoBiD5Mt/2fszZv7FjI/3n67Eu/vux/Fl434RYAfcWS3JHc9GaBw04mawcLb14j7ut326y3/8K+//eW///zLz8JP749Hp/x8LPbeaotyHDF1WE50x4DHOoJXB6enDxFkSws61tjh4kcq6luS1t0N7kZCyfSD6rhy+Jzt0TcjoBQjwi3hJMlQktWVCgZU2tM+tW4hJ9g+U0AOT583o9kmUQVqZaCCYMeIjFrFRDah7kY401tso0FR2EfbopjMiFD3QoKXRJkj95wXcu1mtzidNewl7owbuo2RgpnR1Ra7+1IR11ajI976oUBvxU2gUH3tfrvdvqnbh/X6cX37d58e+3V/xtvPvX+q6+f99sv79eOjfhYfKBcc7EB0ZzT6zsWNClpwmTK1c0v0r7qa2bLprS2bF5FWKk70GWjNsjkL+9Bx/i21PQDqmYs0vKHpBrQPqPDudNKi/ceNmPWJjjjCBINVxdyD7B7RC+YglYWoQ0YYarcJgEORm4OPkVlNUNQzcB+uICJMKkqRtFUsfT03Ov3fsMMxCES/bH7KD3/8lP9e63XtTULvX1mPql37rbuq3ooPyDmi0X2sbeYpAJK9glbNdBVkQDFkJe3huWFzTnCMYIOMYABSf8IURijredezysmmcHuVNsfsQ+XYD/wdseVis1+T0DH+aeQRKhDZLDvsbUq8PAr3QW7nuobNCHLo5UjEVIasqts8sV0iFps1gY5kG2rwuBZiJQMdiyg/MM88unNByON5Mry3ozh3P7g1XBOI8u5onbzJB6vuwQEtjHEAh9XwxXaplnJg3ZAoZhDOZWx2yPBdoGUOKXAGqoHZronjJp3PlSRLCkfo5YzwSj/HXjVRzdGeeQSgBunzIUacs1PeiFpP7dsql2K2NDKmBiw+9m7Z804OzGl80et4OIZGDuZjeY6MzggVTIrA23eYRxwkyPKikBX4lg898Wmcs3g4Hbsw6X2XAcVSlaYkzoAAZqQKgRVKP8heUw4LACBiCTQZ5UmeXafeemui5DlPczyfHwmAqCKiyAiG/GR4GYPMyBzUfNRufjImi4vzlxqkaLPGheCyzmVMy97ANZIuvyVqeN10aqp1Wx2GeD0uxtFU+R6dYRpt9hgRso4OMtRq027UHLaSJtIa49wKBYZgHM8rD/TCY0ylqwMn6GNLVCNvAKaqC5IF0GpVGPsJO5dF+EAeSeWIb82h+82acZaYMFX0KB3GEOtVCiEUlEE1xU6ExvkHZTve33y0l9iDFzNHWAovrTaXMUAmqsUyuZmxJoN51De0fjHRzQM6jSPc25o3ltlRXV/FGad9+/hUrqBvcX/dLM61MRp+n0t+2Xxm+xYczdLsnOG/2MucwMm3A+O4gJsTDmafsduZfFzHUe73MOWWu3iRaQNKfurmaPSDFeU90CYJexP1fDjEk3iaUtNO2fBTeJLWBCuN5scWugwqCvw1Ytxq6ufHZgs/zpw4P5LHPzjEXdF206DZ6AhE9REDQegl3Rbvr/nyEcTlF6IRCl4FIaoKkpLoGW28iMUMiEYMh8Is0Un3VfNwjNPFA4YIS35aayXRTgxhBlTI9cO3t7/57sMPH/JDakG9xbBIhUCqCitUyfCuX0GXISMgKphghWQUGD7nHelG8hPu36/Wh/vX6m7sD4+6vGFSJSc6uwbe27IANh7CXXzsja+VzJdv+vWb9Ye///jzX3/68cprNy4n7MuR3365I7QhBLJUIlDspcnjxTC2FgtUE9SKrs5EHqXNSPiY7EIAIWwhYqoJreD2ZRGwbtW0EHtuPTEijlojRy7i6KDsKDIjlUL7Au9EavVicvlUJOFaILU3fQ7HECzkmSrd7imiaScfoW0z7PZ0awCXYpNJ9zqrtiV8zaCK/mHNnmMUI5XHJVIqFjKpPXcKYlCKULXgH897t2io8R1vfDAlxC3So0X9uH9ZO1/wclt6Cbzkx+9vfNz1qOun18fnuv5xP/75+vLXL/t9i5FEcKl6o7EYV62kIGQmFrp2Alev5aMmBgAUBW5HogRTyWgdHNxyEQDuzSzfRBUkVhsfO2HLYZ7YZ4woTOWsfNce7t35gUMPoT2K2DTUYkxk0OgTDvmKZlk/oEF7AgPJ8ekppoCTjCL1giZw1iYzH0XtXUEUc82pScJPnsc6TOABK5Cvre/y099/9/J3r/ubfV3SxcfXfuzej6vfe39pNHDhukT1ru5UInDDEbaNuxi1Bai72Oij2yXVo2hDJCpu4fSEXz2HjcqRzFR5YpdX7Zkf+onSh3Fphj341lqSVFI2bkqjriZRwLK5BghFsDuW+d8Ywg5NPnsYhWR1iJ2aMdviZra6JhrOsRx7+3tWgynr3H0G2PjQHlsAY/fe1uOYIWdtTLdGtibbfmBZ/bqDxCj8jDZVNXFwrGCBOU8WR0Dvf23I9LmENFEGIFnRCzRSuKielrCgkq5VOuZXoBu9cGuAcVnry+gUd7b3BKMh1nGlhxbqCGN56A0Nknkqzf1jBbJDE001658QUgXDmixHS6EF5pws0WntNoeh1IwZg/YHJqxZ4Xoqo7ZsKqlS+EsjY0Ze8qhQZIw7eLZ+TWgMIAIRIXsR/F2d2kqw1WkHkUeaq5k+FP1Mehg4IZ3RFo/AGs8m0g/6SoR9G/CWZ/Bf/hi6Ql0wKGvRtGYPYTybgQVCKJWnDOvnSF8NOvAgrJBqUa1lkFZjUhn8wkIZb+2eSd0yPIcRbEKDtRELJzkfktcrBrLNK2EUOpib1gQTCx2TbQ81Ktv/C3Mojh7UAEMOugrAYx9o4HoalxlZLbjnSh6TO452ClbegkAKezAQzEytyX2x2nJ0egeNCcNkdJ7EM8gMwackALKa1AE/Bg19srkL9nAZbsqgsoFuEs7PxhzZwwYbSrBOfp4EHXcSANCeI5N7QTa0y8uQB1d4t1K0aqbgMfdwfmPCqcZjXYlJtm34uPE8W31ALA9fDqw3JRjnypy/kuaCDCw4hRgRSJAw7L40COSMubPGWoMtDNvlJ2sOT+MeGMonzslGUNoTN+mXfvKlR40vum6M85z5gbaHz1KnQFf4dPMh9UTvdSR+iUEmcNiIOGEVBgl0Fthh8TSckik7lV8w/6HR2dwRFCpx3DBEOJmUsEjeC/j9li/3WDdmVPthVwyX2zX3LWM+ZlLCIrrR6ZAan79cQjkspiNdYzGvYfVmZrS4lpKFiNvKTNFmxQDZd+Ljty9/951++836eCfES0hu7du68R7Lsmsp4tZr29dsFFOZLKfNDAmFqOWuw+6KFSBuSnB/e6M+vXy5+u39y4cPt08bXQjwoe43maerLQBcgVJLUbxCxdbW7RHrPV5v+uFP8ccvHx5f+/1rV5FVQe6OiG6QDuphd8Mal0CMPEt+lazxdgIasNhSJAeZ5FRo+w6braI89ZPuAgpZWxp2lMZZLMjMqNqx7IlArjjbs+Ed+rJz77aByYn6dKIDRa7IDg5z2B0R55qTGd4oT3nWlcz4dLCaQBSdojfE2piHjjpt6M0OG80X4qJSRHQp5+zAyL+CHRko2CWTDEf2xfTHbcXQ5cYLGXvafTo239/K6Y4vd3XlFZ07qlFXLfCx3m68Eli3Fb/J1+/i9fcv/dfb+ku+//nt+vnaXze6jO7G9qRdWCzorv0IrM6Qym/iZFJFo6KOllxc6KahJwKdwW1wyhZ4qjOjBGoBPcRuP8XRet6CIzKaFjecswaeAK3wBobOHajEGmpXLjt82mkExNQzmzP23uJ96xxktMbXG7YPetPqGjOshwLLPUIWoMsDboRsgvaIGtEy+nRbr9/dX//1p/XHD9cn1oPXW+2363rf9b5rF96639Diozd8lJYxz0bZuzlXATAzYIWiJlOhMFY1MtHb7KdbYZ1BZHHOsc/wBEUachmTZ6ud4OIVSA13v/Rs2TJraGOC7851cPMxSjOe2W7ZNDxh9ZKIFLc65Q8GPgZcpUjjXpUbRZVuXECXl8aokUSUgX8f/5b9QyCc9Ws0aKjf8NftjmIrWGeI8A8Ou3YwKRLqtsajBXCTdnPQEZxGy3z305Ynw7tmjWZpEsjoNr/f1Cp1BPzZE6V2KcHwV9Zu2US5sGabBTuJkqNNF+ZriobSMZ+eViz7nYnT/I4332Fd6Bie4//GEFFyTEfM9T8KK+OuncAezl2gw1rNYgODrQzRMQ1VA2bO6jMCYts+ZiRamp3DkZ7UmPCJI9EJPOs6Pdt0y8I/sxEM0pu1fBzEcQROstUgbuAsaKMYniG6xGzBmiMFraZf9PdHEpGOalW2qi+pRWGU+ZbC1CR+lT0wBiK7NNmmaCgiUT0g2vm0ztYEIJ9NbiRUcPr6WY2O0MsAHuY79dmuLku4TGrA0mPbj+w5A0g4jHxLTryaBHXFgAaH7TwsuXWNUFcG3bMyCwwIdcVstSRYodUcOZvHtJnYwostu0sKpSVS4biXBOCOHc0gp6NR8Nmd5B5YmsP8CPPthuEA0wve3eHsee/Uw+V0I5bfWp9COhIqjCbA330AY7vBeX1tJSCyyZkKjPhMvMOg9RCktoiIgd5y5K0DOTBs6cjTFOb7yu7dWQYtXnJJ0eSUaUyTqmA6G85zdtO/Os8daEq0ypIfL8qKcJuF3y09ZT/GEgfo9gvDOR+UPQy7xe0+8R26OeFZ/fxwrGnzrMbxxrVcnzyWzpGgDdA/O8SUUfiVgExGgv5CbO/UWEBYkzZx7pp5NUZCOBzzcU+fn2hAAWGqBUYJOZ8EXJYkAB3pWy/95/mM8Lm2M6JW8n6/vd79WGKXRDqxXWx0ZKjKi1ietVYZUdgY2X3k6OvMj0cVfRDfbv1MK/GaGkuLjKQoZS4FmYzHy4q//eGb33z4Ermb9w2qupWNVuGuK3NB4AILcbO0ciXfg7e29iHYRefsMLqsFGVSiq6iJez8FPGbb1/fgPrp/f0V18bjfcemlsVAjBWtQhMqBBFs7JD6wls88qYVWi/rD3/65ud/5NuPX/fjDbELyFzdW1A4kgEZacGKeZCDjcScP0alxAKYTMxW1gwWFUp6GR4NAMb14e39TNsGXWiBUcBn8LqTAtNZ000lUFav+uW4EgykLNlPRRHMCKPFdDZzjDZ2JWxqVCOI6Gx2koOMWnPp7MQAy4eqzr8BmjVuCZb/FkDsOYKEoGqcsUCkN3qxM3DIhW4Ixe0mqWla84Va8FePtj2MhcXozmbrtrOVFbxwNfHIWEgKjVgPBMC1mvt2i4vvyluuxgfyFb/9/ff9h2+vv3T/8/X46Xr7+tC7qjYLZKqwut4jbumlpsXIlIBUsEqTNRLsgrr8JLa7MLjP7Ti5agD3rK8rXWhSw9rJ48rAFR7GfsWxDzxkGNowDAKTY9KFaYOIs30ag8uJT4jRM8+QYGUPBKCQyUY7w7IDY/Agu+egatQCiiTpiMDIGMmkaczloCgIa2djbwovcf9XN/ztC/4u9zf7nZWfPz4+f+2r+2vr6i508boG+u9GDudYqrRa2/Eg3UI3yuoQyfJ7EhsDRQ+lX6KJJDDWBPOVV1o0fQENPZlIRWmuYcyM3JY3GBiTz15NSLRh5OhRz81WB2UfXUAMOIPpO+1k1ABvGIbZxL5GW0CKih3W/e/e8tLokRm/zrlTWABMQxw8fts+joz5YexBiaBt/KQEJkOsXbS7xEhWTzDhSHQaRdnhtjW/P50gA8C/HXWW0AmIHdLdEcZgdxLjU0rYV2M21DoGczbqlDrV1RMqBCIiSoJcuqtsigw6QWrBaZPo8VKOjd0/vRfnaD8E5GAh+yQsNR2hvn2McqyNnufy/LAW7akw5yLA6j1c6+AajT1iDdD6pflwOPqTTgYcipXHvx/NRAnscGz79LGeI1d9WHHQJTVjdZJinFA8qI43hXkqR0DlHPVY9gHN6TFJNic2GehChimT9NRtHfLW3g02LHbyRIkKRFks5NlMivAJQ7eYWvbkNJynDG4046MJU1ppbx2SyIzJPulkjiQbc6Dk6Mx69h2FlugCG4CjpBQa4WC4htKytpZy+OTKQUnbCyjCgECo/Vlsl0+BgbatYU4ZYIwPM1OZxXTmBMb2Q7W8FxNmZRlTuOQx2IURnos77NHy0/FcL/3uewDwbp+YgDbLHsEyC+VEYZ6tMaAaVhIAWKURDwUEbJjYcnYr2u9rDdTtYa2t3tQiaobY9p/WBhfnbCgo9DTVEHIR9syp50P19OKVWG1KSQAbyW7keVM9NSfaKiSczR6Bgbvbc58DnlJd/te6EehCdEeiz3M3x06aAvNObGjYf56J0RZoAe6ls0masWsvw/PbTrtAs1uxzttsWmgOVEsd/NJ4742YUDXQGfxw1tPs6Wy1EFqNetocTPEbnzNIhUYkas/gb5GVvAB6iUeYz/TcZWef6Y1eXpglWFaJUWe0exbldamrff9j77Xuce/bS3x6wS0h8drxgHZ2CSVthL86ufmYWx3I+YsissUM0cDaLKIRN0idigb3YyXVid1YuSNWjoYI6ckJjNRL5qdP+PZ+/fY17/fXxLLjubuqGcCDcYuOXruREcEi1VhLeZFsJjfbvx8H+qlGgbdEQWutrq0IvL8Ef7tWf7jt9+v9ce2PvJoEH+pbcauvUnQrMoz7oYSsYtduEHqsePn+lZ9+V3/8T/H5s/S+vvzopKSHbrGCXlpazTJJvKK3QcwYRYEvSZC7dYti3zqCp4HCiEwDbEU2O3s2wVT0EswOisvJFti9k2mcqNnpvT2QCcYJyPAUSj81h61M0z0JqqNNfeaZ8SCkuQsE2mXqqlsliG0kCVUX0IGI5raUcYoWTW3mSRUi+qXUlmnKYkpMkK+wFXkTLzVBw2VdzuweuMz+trouFHijXVCDOLDFqF2WvtAjk/qaHzCxiCuMnPQiNnZqV3Wpsx+1SNy0kZELWMkPX/JjrN+rd8f70p/r+uev+5fIv6rfdLsiGZ3VcW1G4H7fKiyrXKRW6EZ0mfxdB+5PRANMhy6NP9VwbZWQjDWCH020hieLQmXnzNVAsI8a13f6cDCeCKynRloGNKwqRrDqfDKfLj7UYBWI51Hx2CZ9+aNbbWnVDPrmPbvFwC7CYfxTKaFW3HDOLtlvJwnZdcPLd/eXH+73P3zI396x+Pa+r0e/vX3ux4WH3q9qsR+1H5d2l4Jqolsr0sEilaJkRAOjfA8XXsBIYkk5oVp+A9SMBNBFUtrgESsIBYRvgQIckWMlywgxSbaNVQBiBOgoyF2ITK9TpPmXOAgNKN+282fmKBI8JrgVuxsr0P0ri700LimJMhFGi6cgAVWIbDXpWFlAqJIWx9E1GNkOpS/3Em8xXwIVJWW0npy6Hawp6xaMGZ1Iz0nAS6gsIAaBuW0Llhy0w0DipETxmc1jKpszIUOjY0X0AeYStIvBxt3iLCBjCC4AIW3rLxIDzfnQAoXlgBJBhi68snD5RJPCDXyONbbBWvBgdMTJdmKMpm730WW1zo5rdSHMHQGFSKGSxpRp2NZonhE9S369mMNoYfpDcICrFUkNZlpfWednZZQHAvbmaU5pI37VzOgedYTdXmi4CN50hAd3nw3djJjhXY7JPLisJWEMxqLjU4NYXj5rRGT2KShDtcu++4H1Zq/0AGf6DISjOBldSMIbrCcQEWDHyBjajmpGc9Imwr7PPg4ADijJmd6M76g7hw4JjCIojvEEDGaHQ37lc/VgKjHAK+DUDS8//kgzok4yrOSJloDXqAi/IExYTHDEUwGcZcar3nwhcU7lSWX3JQU9T/aBhqe3ef4zAMhU78kMsYnT7jFvevY7IThrh38dSTldZxEBQIojEhhgYNCn9N9VSKS50VMO8euenjgFMi3PJUNe4fwumDhK//ZY6PGZwOeDl1EesL3VkxM2Nliz1gLa0kd/uQKyDdSVNiN629rVIlUTYsgR/hzZgRclcMbmZoSYoHnblerZfgw8Sk0qmHL5motnxF1ld6ztmk4HGFogzure4dz1+bkHZpwB26dkHMZQFKt4kECC7Ms6RwLsNn06SD6DXedL8A1gaC3kzpMCj2KjDFw5Nkd10qSGoTcxM3tcJtWIaG9BHYhedBK43VFcFKD07tvMYEIpvtxvuBFJqZpJXBdT2rtN3ht3YHUHFm6H2BgJQVg+0KbeQyHsUgCd7WzcTsTo1EzjRo5pjdl3LDC07ni93/lETVDV7N7+Mr82Q3W71rorkKmOTkERLGV664tbdVtLVWz1Im1F3RVBoECwvem+Ah9v6/tvP7y969H7/QO7dqzbpY7NG1VZqEBChHarS2JH8LoejF++vK28ffwYv/mb1z/+e+2fP79/6X5vpV+tsCMoCxUxSipLAxQyDjHpdxZsFpEnhaEltTJco9CzBFKsbkaiTrWFTqSJJEbQ5XQNItnBFLUCYi5rPFKHO3IOlzEYn6eaK7xGtnsEBfPUCkYEXYeF6BIWAzRuE8ROoVUVtj7jqMdH5Qx/7IIytHMKayrkckCSyWyi3HXtw0eNRY923rYJVTGkJtcVTN8IzlbIIDtqYAtzGIRF8tAs/Yh9pDJ+b1DsUDRbI8Kv240rqlfEDdkZt/wU6+WPt/XDd1+/8Prz2+OvX/eP/f7lSqz7+woGQ497A31DxtAwUekM+YBnURFh0ta6i6NUGFFUGEVeZgoNrVj6Pay6VR48BomTjYCJ1x8M0n+svYieL3y90XpZGmoAnTMoD9Ax0kOLWjwc+20VF8IVpkCfucT3c4dFRR1gKnYAYGxVhC9oxYWOl1skPvT6bXz4u/v9bz/lx3hHV+H6Uvu9sFm791X9wL72tXdtpzcaeSQdkK2ICdOWfDBN1VQdKabqSHhRY0p2XCamiw5n0+GTOzm9bXCCtU0rPlUbneYGAuExuTTIq6syq703S2MCBXp8pLJWarzIkoQKh3nJ3mlGt6NyhDNSNTYrYWDHIiOjmRFiRO2D48oG+jN1HpN5gJGze5Ggtj+EClAZdNwuGIE9L1SjNY604w6uM+71pYOmeUcpTuWrva9+1Wb8gT/DGQutAw08AdcItHJpxc2Ikei0O4GArVD+X52j5C9upgUtREeF4yKKTDQ6kGAdino2Yx+LMeqVgKpHoyQ1nCA1UcY2c0yjUpvonRu8R3jBCTiAMhAthSesmADf0cFxNI2ulE9YgJTQ9Bl2EIoBu6h2Y1eS3c1eU0mG3t4AYXejYBrEZo627pKKS1pHhNRwlDSIgdYhB3l60Xf6Lww06FcGX8oMkkHGzXCQ5XtqqOULy8CMk+a83DiozIG3S+1PMmp8lf4KRroQRvG9nQWDzjtgT9q9A+D9qvntjDOOyZH58oriRwUzxPhRTKAojUsNxoi8OXtYbdD/Hf/CT4Z8Mm/aj5BQPej/kA85InFEV413biwM3vWGRCCwWzlnOEK2acYhYy0Ql//QDbdGkgiihhtkd9+8z8qvnUhjOkKAsO+g/XprROokut1g7o6Fnufet5iFJ0Y4zBAjmwqUkF6QjqJgMB5NpcXM/ZKdjG0TO8Zj3UCcZmYCaEX6AIqI6qKT2G1fFIgqNxcTPDnF/sdmIhubTJthaF3nGTP07JqEP4eyXmf2YuM6G5H0YxdMQQk0l9ch36jNDJQmU9X6vCJUI56xIgilpq02YYBlLs3SaUCa1zwGX5uBzL+mfKhCTs8I2vdtlRuePOFp4+yR8RIFZQfmeiDmq/OsYuJrKNNu0GVaCZYmtFzC9IWOTLVay5rtrUamhrC1NNHOr2L2GQgigv1yQ9y0bh0LVG3qUr0TWzXMloatGi/ESM0DFKqZM9G2EOGupCjBvWloBFtDW0CBW3CRK5CZio5mLoBc6Iy4r1xYD12tHUUW4iZsJrkKUOsDo3mn2xzUAQl3bOnWUkodrBZRuLCiCmGkpcXdXbtdpRybN8R3EV8z3j6tt0ddDL3E56+1CEZfA1Ggqkwoa7GugvAgVUtf6uWeceuXF/3wp/uP/7y//oR/+i8bRdxzvPEG18eSE4ht4M/Th/okRWqpybQgg6mJarM5M4wYP/+fVOBqM9qTpzxUol/r8MALOB1Ywdjw+S0nnfHcFwFcjGWUnseiadF6cxRIKCA6GsYjc8ayWFaVRah3GWJqdKq3y3ucOa5AjzYH8AApX70IqAKqBLZGfyEUPOImcFk2fknhG8VrhUv1Cu1UEARZPW49RML0qbes2bbFUKnRmxL4Egcmq+XMBzU2REUtBh5X78WsXgoK+V6VOxT1MfKu6xvdPt/7nwv/TY+/7EffXszQX4OH3Ds7tXySyqeGZKVpBXDJyKGeOLtIXx+gsAxAEEIkdByH4yXw7ErXM1PD0I7AzKog/DrrHohLMOg7OA3DDlQDp2Aa/vGZYiH7FJUZJTNMwRMmx1k7fNRXihqpOE+eo9FWvBQ77upPlX94+fT71/sf7oj42np77Otr40K/ae+v2qupfVU9SuVHBe5LNNzICMEBCYEoOk6lDrjt38Ppo13VgzXDNV96CrfPQjvx3mqmHxaNA8y8tqSp7cakvOBU7FKuFRvzLtyvOiuJJINyEAZxo+8eUuyEZYUx36L9bzaFCVR3GpKdjFFruQcwBlDbLRKTrTuY/+BA4wnv7khbPEVfcCJj6YB6ICDts3e6qCTo+E0ADjWWAxSmWLy7pzOMQHkw86k4nz1t3xnVR3nUWxaUdrvfK9s55CIaXMeJ4hUm4W9XFC7/rX6ZyhZLopmmw5oZLIgdTDa4gBYzg41GrTwKJT8ZEwtuTMGpnU3vNZtM/5nCUc0jrSemwyCcPiUsizYZoqu8Zm4bL/Wg7E4RwTgnQQSVwfIQY+gWgttOyXHXRtXDkSDkUGvCxUktHJ0oAjVKB+TAf8902TAUkK2GHJkZjYMvaQzzQGJxeticqbGQC0RP0/dcBQRURY3RKEFFMVZbBzziZmvjmUSH0SSvSe0/g615KABvw9WcpGHKEOsY2iYzkzJemBllImm2W3jJNiDu7JLeBK0hgTW/PpiQTSuRZhEZ+8MkuB8PVoyVyhepDmFnvRIOJLM0kRZGw43J0v8MzzOU87jNV3Ls9OlParhZsxNdbGv2Y37qc/TwHKqjh5n/kwEzmN2zaHN0byCVkEMkAKg3RzI6LKTFBgCLiEl5GM8cwWZRC1C77B72P7HoqfOp54BTtcLO5/DX4EnCvyjGxYaF7h4i+qDUGY5kNCea8DQsRfBGdkPhNxIgo2sYFQN0jXYuWRCSH4ogOyM0sLM5pfTH7AfITQX2IY84yIO1dYbsmLhOAxtMiwtO+pK/A8ldWD6m/RI1pFKkfcY0u43SSdPRPKyiMCk7EjAB8P6wJGdXBROz8hgiGt+vJy96C/FnO+65gOb6mMBtUwjttZSFPMYuHzOkl7dAcgYB0P0CquBKgYsIvtwybwJxCXur2BVu8RCeho0IsFuJSejyJBLMMAZm87uCQgUz5PIbzNrqIDF1RqaX6swiM4XUIpORAetcSze8g1HQjdookB2dD+hq1cv+eNM3t5C0iibXMQUebYyntghWSatKiJ1NbbaQapWrnKQb84c7rk/6+X1/br2JWalWsXmJUAQbKYCtrEawu6MlXdXxy89v0OJvdP+w/ubfvVxf6uvn/PLnjeAd2oUkrwoYCInGycsc3BZSMNJeVdPtLblGRCwdUVlLcJkeTmJVU6Nc9klg3Y5hP7//y7YmZtrm4lCZJ8Nqf82ef8kjCU6MeOQgDqKEjAA2fQNOAPfEI2mS+xASmtW7EYtOjlTD20z0dGYqhiL3CSysvHbHOVO94mQ7XaiJZIuN9IPVHeEICPsH2NGh6hWRvuYCUVKqt3vUyuC3weJtU3uXSJVewqlPvbsD2IhIla7ocE9TB15XyJ6Q1nu9qXJnUQ3cv8nX+wte7/Hp7fpR15frpRBNPNDs9yx2KsjMiF7ONG1P/ANXtDhJLzM4kNHVHcxFmDr2z+7rgyNgjDlnrFcctASzLox6tU3Xmp6EI2Cmk5yjqTUt/bTxFjOks5ec+8MSJEPENNho81AM4VsBSMlw0BcmRCUJdDJvV+z1Tea3t5e/e/nwh9f4GI/o969d76q30m5t9tvVjVJf19W7rDmT5XOEKNOUjV6WGgbgRE8rkh07ZbMpZvoYYQl5WKwGo10Rz+FhnfOHrsJkd2Ci6rIGj2sExsVaYwnL084X3qbnBJYsF5A/9snjm7EKrbKPjQa9oUcg92F3AiGcBLqZTc1ceNoLttqYewTRqvh1g/HaN7jUCBmqI4xWn0zw6d6TPfchVCCfEHm0yndsIVKyZMPb4bj4x79GCeKeTcLo/CGO/NRwpC/M6FaixyQb0aVbBkJaRebUcjEEOeAtaC0D0/F3QBMKZnc72soo4YruGuOu4HCN8OXLFrkxgUyApUoLKnsrvHOj5qYW5r9nqmzmDB0jHmMKhiN7oiqV4VaqFZosX7maisfSFYHo9MlDMbjFaGDR0UAen8aYBagbW0xoez2HJG38KgvxVxjwf9gTEi0diYk/fH87fD646jOThBmdIVTMe6EYUx3rDJbQ/H0m0Vq2TwhaRFtmUk2Gg3IOFgGwpcRxxzTK//nUtDc8SQ3qHz7IijgoBTMdQml9lCnq7iZh95IzZ+zeC/NIhrxilh8Ho2nkL7KnG+0+1IJyTkQKFUI44syAJryiHeZpovtqGDTnHp0Qdc0RPOpAAymzgXtIDLsGEP2c5HnqERhWc2RDpIYrOK2gz4y2oRNGv2i2HXApwcBFZByDkbOORijGPLlKs3sOTtCWBVrI1QFWMApNZIVSNu6ouhm0MpxBi/rN//gv1QyXaHTaAuvtwMAJPNr/6jQLWXTIgzr41nBy8vx8Pp5GLdg2PBsdlVU/kaiCoR//+UDHvPoQFZGcLdeJrSEYrRYYnRFVmvLHwU1ofS6KhKH1Mp4PzjDfhkfbtoMDjHkbzyhprmFPXEmA3R2Y50AxQQ3zbEhVXlae6at2Kdi+b0LCTIgbbcyvdw2WNwOAwFjOfSYmiWo+6eH3SJVyHfU/FFghw9B2oQZBRIQWWqlbxOtL5itW3iFdqFr2ofUJZOKQ/qWCbqvJiG5kyC1zQp6Fb974nqq1bjQjrX9CiL0yAEW6ckQLsVKzDywzo7pUnjdZinzHQ+TSboW+9v6a11W3xw37A757uWUIu/quaoZBL69pMcyXjRMbVVdpFQN1IdilQIdYL+I31KcP65cHvjxqZe97462BTK+z7rFLiqo9e36R6n5c/OXniuiPH+rb392++9cvv/vH1o/Qfmy3nRErQqh2kopvaGdMoEBR7F0mVAKJplJkI7JndTKt6lIfmOeaTddAhWW385wQNDzVLWXAWzpbXN1FZND8JkScAwWgL/QhyZ4Igh87SAhO3pyJMRIxHUxdRURKe4ZKZ91qLjoLE6OPkQoBF5CobS/IMfiTLhJxVCBNdejJgsIVEsNwJ2woMB0i1SO0jgzBl7sajXBcYZhB61aoZHGY/5oPEeU/JpDRGrfDpMN8fb90i4wwDMEAH3FH7Nt1aVeu+L5fv7m9/FKPv+z950f8vPAIJAJg9AUuMjp6Oa7CAsMx7sg28cGoJEqF5GrV4kDPg1z4DAmEFZK2CIlkgxDDLztG02JJZnczxktKV0rycEX0Ly/jThPDgqfrlZioKgw16TyEtrRUZLo22sgtGWybOoIRjais+yMT/Vq37+63v3l9/dtbfnPjN/Hl7eovut50fRWVVdXvlxr1qNK7KqJQXU6IRUUUdvgqYNwSVk4QHUzKKbIqtWp3ddOBis7KsZFlZoUEXa8uTUGodZXH6BXiVG3iJHeMWl8yhTPr9HSbni27h0/v4a+t4XQolp/OENXoYc4Nc3UXi51YwABxJxlPcAzovKQQxIpWIcNEQYHsjgBWaIfVuYbohiPUxDQ6ARS+70iI0QpaX2qgCdjWagT3cHNdGBjUd+cMI5hRuQXyX2gHieFrZLirpLB18de8aKe1iAGkQKaAxLItzlDagMZyZnAHMN9IPLMDkyrAVlmTjTz/ok+eBDoiXYmRgGNUu62fnWpEQKi5CQUjfjaKeHQo8dyX3swbPf+ad6KC7lhIsmlsymYcI+rE2Wsw/KlfHJmis3misIjSuELm4hYRVOm8yAF7PW189cM4HMQBEvsM/CPhbpklc6/MHBte1BIoS+YcCxgRQc9AiWBOzkLB1a9b7BH/GjA3eOqspRFm5Vn/cu4JytSEf4N5S0A9s8EM1Ttk0PggQFkOytNwSpo8AEnKsJ5gdbjsMaKD42z9EHAk5v7EWoWJnTT2ivJq5jZ09xKN2MPb3jR7+HuGBtKPRSdVsDQmgwQGP3OQvQ8Ms3jouVQPoOsNDnpC01ZcWgDaTdwMVsLfXxGoo1XTLHSkz75mTxWVfB+uCZjoM5fOO4BJiprrtwgiQyb65LN6JG4xFFb7gw+eF4SBJIs+d/NJYNgr0TXDt08dQIsU2S5fMp/l43GmZng3DDiwh/Pvzz+j6W4ruHIqApjtNBR0tQODQnVyD6fPMkkkGUgk14AvT9YokHvvIIikYxhPeoIfQzJQfifNxJhllIvbJprPDKLrV578qU8/0LvXgQw4NcJ78Cavd37zFwKK1saoM+gY9/Hb+OXiql1pq8qTbvY4FQei0Fm2OD4tgt4e5mmc3RunOFZCLgRYPnEXlc0AmH3LuKdWJO6QZbShq/kutiVk6saGFsRmJyHk8eOApYyWdY3L05rY/t7jRH6151lOqQByMQO3lYyIpRRW+kcMaDeyrb4AGyzfea0We+MK6vH4Jfs1r0+P+MN399/ebi9MCKkGc3t3R3UnW624/JaIFey6qdua324plWIBLyu/va0fX5XvkZv32A0Vr4t39uXmq9ZOLYf777q4GmLteKtePz9we/lwe/+bP6b+8t3Xf3r/8k8WAlrh2z2rc1lWYczHgxms+wZV7IWwTMwFAFOHka12xqGXc5OmHRr20umdQRe1trA8lRlT0QYXIsriCU0FQcxI3cQiRqEWfU0ZgHHTcz7bjuylajLFjJo5ZC+FPS+fAuo9CwUnWRhu+rUtabLFJsTerSRhgqhnNw5POZbTevs4xL1iwgiltPO0EXGh0cgcMOEohRFis+bnYolslrSi9RW4dRJfsTOzszPoXT9T6syFTAK8Sn13Wgo61dS60J0NbV0Rewfvv8lvf/P943d1/f/e3//8wFuUxY3dl6SVy+BQmS5szYzkodui6wFvG8XgMmzmvCfO9edP3tdJOfjc+JWc0Yw5B+Zw9upzLDf+jz3W+fOYjmBRyZRpkcGvvYWdyKonhCyj3E1q0uhKxlQQEY5llQTcQh9jfXe//f7jy+/z/pvVL+xYj/f9eEd96f3obvDaqqur6sKjhMquNucRIftltJSNZMTNKKUbYb3gQCJSZPWD0Swn98hXsB2FKVaIe0Iuh9A2pozxUMMTPyYhZGn6RQWhmhxzpOmCntvKb0fNuxS+d8EuIcTqAt2M3p6E+qCFo8NLVSvqqbg7EzldvnjYQS9l4kptj03iYANADZpll/U8Q9BQrob453o5m0GolKxGqGe6YXe7RZKQLNX3IrUN10XAKfkDi9En7AmZsCUDra1K5AAM3mqNFT9LQ1zOg+5c9gNh9E9hQEGVHmH8SzDiRJCdtd4b5xChJiIB1xIQRZs/G9OQYWokpu0AYju+duQAs+MO/j/IBzmOKC8+Paj5LFaISkCxIxYCKwI9dpR+lgSHfQdmZ1vMNsTnF7rEdo31/CoWOzw3bggO5CFTuHytjtXT32PPtS8w0ml+wnN99BvvsxFjN0I8/41Bh70XKBDJlQ4d0qhtJERy2zHnD/Ms0hzWoyE0bzyaJA9+BwX25Pe0huQwjaevq8RQEhruhWBRSbQkBZIwXNtqv7DjfJgJy/CM1LC0b7YlS+KHMZn4UA6b6dobLpT9O4ycVgiSCHuYvG75TQ7flGOGCcAvp51csRk5sX5xxO2k7KB3uppJMRyZnWei8WpUI24zagONjvIkaea3L8XKESSphLSgcZon6Zu3OcCNf0HOGTJ6Uw4L6YO7GbfIlqrA+NWzJMJqGuPV2KPRC/ST/2mTaDY7eS0IFsYA453I6DWmRVVDXvZzr8WA6E4NIOkkZU3Ikk72Dl0eMOgcCxFROala5nDMWC2EGGk8GRYqziw+69dSa0WMWkkjo8+Wqg/IybHTnjXZuiS3yRhrm3XLkJnOWqeZKTAvZLbLXSm5EWQfPNZPX7ALjT2bMLLGiAUq244RJLu8xRNR6BgfJiHCzcIxGo55quwLm1thKHvDohO4gGJkgJzckb3ApFYgGWsxA3lj3hoE058ACmq2u9eLBNNiJvryuBlbG+IaXPbXRLGzu6VYpCOHBBtMmkTFS2SsWLjfbrcVTK6AZ7UwtEHcSIiPS9faFUygyndSQyzxqs3N1uPxyJ8f/d5Xf/fd37zeX9qex5Kx8gJ1bXNZJAqN3mjRc4Vr7LC73kg2MvJT6kNc98j3fNel+y0fUtQmUr1dByxKEzO5+mq16kXrwudQfqn8Nl4/rN/92/XXn/CXn+778VkncxVzkdB0wtnkNajSAR68B6BGjnPSrpylmoPIE0eGlJnt5TDtvG5nFUjTFIBWM2854u6YlVVMh3oHgAz2KLolPwQedGjcUIiFcEoYGq1llTSCCLQJEUzkChByaAsJhoysYGjE4V19OO0ykMLIVVB4N8HqKHaJC2S2FYCB3o3zk5ES08tMYyx3CFR3AraPuW8xx71oENwBGsXIXYqOfOhCR1K7NjoiwrqNaPSVt4xk3u/KENSrEQxyQTs3toe9riKgUvf96+27+4f/Xeb3r1//80M/Ebv2wioC3OqF3OCRg3vqmN6iGeodMQFSXCScSOzpX2eF9DVn7HD+jYbglqFJsBg0LGa+wMg2fRfTJk5ZSlRyzXKLqePTtpoEqGm0M9o1siHTSSKce0giMWpdAb1CH2p9y2/+5oePP7zyt1kfcUVXS2+P/XZdb+hH9xW9d++6uvHAvrpYqkIBiKaybFgqJjIQjpobaMk3R67AJcUG674fX69HO50a6pj4eQX3Ed97OXI6hNSTB29tnGQoZX5x66B6YrgOeCWGBnz2pN4li6rabtA+4FOrRCac2vjMkwOCig5lY6Nj5AazQlj2veeLOTtfeUDuLlnmESs9mWK+WVJIospvlp8nhMQFCM8Jy+eQGmTJEvdOj0uQ+YKy1EcNxUh6ydhw6Le3RoFSNTLZfTwkbbQ/Q+qikqONLQ/xIsVqZQB2XsZMbECg24GeKU3Ai6ECJl1kac9ggOWgoKMtHqzgxFUNKBY8h2RJaVMx5Xa93v4WGkj2nHItYlJBjbSFPGEbIxn7La2FY+rmTLZB5AhYQmHLZEZL0iYCKRXRM7iP+AfpwEqejWD+FA1xNSIJf64qREypJKQp2QpojYThBIqOdsb/I03JkEFpwYNhhICku8BsuwXIDCrglKsREvhPbav+vPMGaUECuKDeR5njVJShCFvyh6fJ9weQDhwtzgl3VoX5vzQYIQCqNmIBjW0GRe2kRfNudBnUmt+yLZOzWP9XuWPb+0Bn2Ub5SNVpY1Md7iqdatLTsGfhKDHBvBjmRAIw1ogS15mpoeXkA+dRzS5a5yVHF6DOgNEAszzjmxClLSfbGGjpoB8y8AD/CaHoiAeOo6LT8vkml84Y6I9RDJZBdMqMcNsBZddWR0BbUp8AmVaEWtYh7HATG828E+ijPdFMtc6Y7ajbjBWMBgN0+o45CA3Hj8OEQiOqkiE49jjYT/GbJcUSMM9e8DwWHDeIOhEV9n64XDESANc9zG0gobO2MY+RdgswT6ou7zvExiaLwXKgTmHuzzzrGhzrn/DMbeJsdBYnSgtTqun5diJ7KKiLM6ob/Oye39mRlHAwgHU/zQzuaF0ZCcudYGUfVBWc4E5QYxR4OvGHazXHYLXCIPKWcVi+xyhLqDNHH4aTQpYRi8rMdVew7kvXDb27srq5uy9PAWlpp+0V7AkKSaoIWeYA2dIisdniorpbyqx/IWQTElvKrtK6BXMp6eSs4K0FspjRWKzC295fd9zRdUuhChsTQaTqIpJaj2qUWtcNb8UX9ePD6we1unWVECGG69H9UsutSUhxg7sV3dxQXyVgl4JMxNOPGdgrtbsFZkNpBbREZdRuNYsRccXVzY1ffq6Vr/m6P/x2/e3/mL/8v1/+65+/wEXlcIJizuJmEd8ECcz5eeAMukkudhBsI2KmQm7Y1Ub5ZYYXDv1WM+lxySdxRwS4ICm5TD80mKFWcEucJECcyj1rgHFoLRKNZBDVWCw5exOj+QN6sIMtEnuuyGpRCZURFSBbkWiyy9XsPrMZEQ7AOu0SWtIEzmckbtGbuyujuFHD9yI8bRmkshlgAn7HQGP0ihViI5RGa3NOGPNz56JsEe8661Vb2qTd6GgGEbm2uMT9da+VD6x4yXvk2vseUQBDLVyUMyCqv/bFWz2+WesP8RH393vVX1dfVewbWGBDa/VtQxlJg4XIuW49BBI0JtzrQHE04wdGyyLI9uSgQ6AqJsRtNObHFujX5Qw3EALaxLIru+RGnLPpoQuhACdnNS71sPjQsbFGs4+9D06ZiozdlQxk52vg21i/+/j6/Tf5B+jDzV7WavKKx3vvL1Hvj13o991dXahHVUlXVW0QqAB3kJ2LJUZIgWVnPJQEHKZaXKurF1jg4+vb9b5R6EryglhSUjatGkk+43lSbTG8BR6zzAytGqe5/UxNOIKMwq9bNZyJj5iQGgcy+2IY1IuUOzRcHMz2ZloIhHPs59Hl1kBxYV2Po+t80BtFU0HpnhWGxywDipCSIQW6J509hicGRJXhSRl+NdhsFC5AML2ReEJ2EqkVUQxK5um8S0SUOrj84Ypioi7gCMm8cneU0x197YcFGINUzR/bcjsllyoRsbjHX9Blt6QIuBzU4nvRFIqthhb3OGLHaKiEyEKTCISyNKZjQlCNDgvQ9tkWQNf4mtm0IRAlJtvTXpfxhTZjRFiOdaLNu7gzF0SJEdVMpzA1VwzlpgTdoGNzd1FgsK4CyZg6ifFQjfQu5qrsYcBmnPeYSedFOAD2kFx91CCzD3oICJT5OyOcgHkhc/SO3pYsniSVsdKjXklOTzMZLQXYTi7V+csyuBsRcleLjaUctSbSqkZjFN6Z1N0RBHM0aHFauo9kGCRdcwaWDTY8wMWMzQCicY1A1lBUsuSMIw5w0ii5a2qmFiuvDN4787XtTDu0AREjLvMm7ZAxbK9fdIIieksrUG6w8+TqNBr465sniOf5ndeWw1URIRTPeCsB47OKGIF8HC+CrK/YMsxhj8XgB7JTNyPKOBqe2diU9Z0+0Z5MrsdxgSPoJHLZo1VSds/LHpJrnND2gcT8ETqmF9N8thRquowmfy6XI5Nq5lcpEntbuhGcOUcjyXE6EwVN/e/zKvOH5kXBxgHjYr7YioPprAwmkLwZRhvWUxGMSZ4xSdQdYIGlfWlPpCYAadtz390MoQO9GbPLlXlamxpdSNETVIs8EsEBQkZySfRoqCZibPbyakZgTUOI3UwSGPAK5npYakq01YhQedBfmEYZCmIBgdFHcKTJUpm38JdM0MLWgwql9w4GmFFilrjs29IkT660MGgt2i/UqYr8rP2wY1fNZqmJbJsIB5Z+1LpT257Q9i0NKajIeCagzvmpDsE4Q2FlsrH3vt3XWpHoiBZXoEfqXWhoX73vO+6vdzWpW+dGh7CNnesCMsjMpd5//vLLe+v6yI/Kj4xILXV2Ndfuuik2O9RbKKQGR2Vqa8f7mKMauF3VXx+hUrfQoVwL5PVWUCdY5gaRUNUtKDF6d0e38PjK140F8tN+eXn7zd998/v/+Okff/mHfovdC+piM0K7BpztDka7BleKXh3T9dhEELuRl7iCMdBEb2fEneRUytsgPdindg+u3KxGcM9Z6uyQtgWxDBdw7sXgltaiK/0sPIw5GOkELfZRZZpYMe2MtDTPFWOUqu0fLDhpR9OFHK4ls6N4wDCJTETRGL/MD4rWy0tgJjOyIsqEQWfg4YJpRjPSjmOMaFgRJG/qskwJnU5Jc1qzhmRsdrYaoblJEd3Bqe3NLVeIkGpUNqWL2Nk3JPtab1kr7/EigqEsdHSU9pFHVr5n5GPzw/3+J9ZL7n6PnxPNL9KNVzKrkhEJ7hPgBEARq9EuFWHY8rvaIro5wSmA06E6b2L7UgcOpmUpUTTb8famn0cfCkf1T8EDoAwzof43obGmjwKEXbNVqZ3z7HxSQEhUT9EwBGyQwKv4bcZvXl/+8DF+s/jpVi+laAl4dL7z66P22+73qgt7bzy6LnWVJD1U6l09LSXAzUmpmQlg9VoJkAsWlHUoKuqIWq+v1/vb3pdU/q6tA3cW5SR0hHaF9ThFiEzLjQPc9guZ4O3yfReGtQxXunx0WFbHh/g2Y//LBhrLTSBYVGhv8NliFekAAQAASURBVGgivcX1UN4kGpUYeAWDBSicEzx/7bwxYigEN4NJhp5GAqUZk5r2VLYMgM94F4SwLYgfH/mYPtCm8HybNdXQMhRurLpxvEFGvNqmSk30MFRHTWIsFq4vx8APVilCgEPZfY2nZ5IKLCl4M651uuIJpSP9DhytHmufPYsJVAVo0qADPp2K9Gx8alIdSsBKqIsVHZ7xgscHkdleB0Q7P2WRCxHhsX3m3jjA4ZlUqD7oS04nWIamXc36q/GVt2CAoo2skHIjBNRdsx4GsL1mgSpN6FzTJqt5Kk6iDEVDaqA8U86i2mPVPKqeCYvp2aV8DAiM4YBNmyp1lDEVbduAj4JB9W36G2wfmeo+Enxj1JZFOD7Zk4H1cAm1PZfmGNCacCNS6owUIPdoDZ40hKZPdS+BEBGrsFnPOK/JaGr4qaU0Q6Q53iC3tCxUJefum0/HN7btCpZ/C+d3gS0DVhSZW5M/qKb6llFmVnMcot3NZXfk4awQs+J7ToMSMfkNpiVJJ2MZM27E5Ek+40KNtTu7uIN5eK2Dt4yTQFbijxGa45GzdsY3xWhs/EQMxhOmBQZr8IcYMD6mYQfH76Lnpak5JcTpNnZ+pz8rKK36F91bdwQ87BixJe1s9LUfzkKiyGCVX35rMr3CzEZhFkMxLwW0vExVdy6PKVwkg6kIVAenYUSwPijcwFV9vWvv4hbOZmhGRwJqyj1UxfndBZwwT/8fNZIDSwabMrrpT9x6jSeAmw52HcbH3x3s5/WkbpnjSCxtYdSJKDkGHp9T0qbgah3QP3mP2QLO8D7SwZgh2wFO/htG+pVcaiBS0ySBjvT3ESsy74u3WweFTAXU1ZGt3rsLojOjO7Rk2x9Ox4kyKTEjOBIMzQrOyWq1oySX4mIERYKlnVgStnhtrEckCndIyK6IVMZGi5HdKDx2ZKFRwfYZWax2kUNEbOcPQ1iq+KfP/Xa9/bD53cvL69JLTGgGgIcuEqpgaKsbcrPOEjtUbF2thWvXX9/7vd7fq66m1L2DuuY0mDzPhErKtvxOklDmCJpfH6nr7er1DfX66faH/7T+6z9++Mv/+vVFr+98F1qtjFT0nI6Yi5GIDp/EXh+jiYUKC321XSdMHpug5QqqQLbgmGXnVw+WLKQ3VfpMHfgbIvpSJLrFJKluxulh81oYAkJlHQZQUNb8MTtScVpiBf/MTdngGN0FeIiGtU7xRAuGpw6KETXI1UxIQ96axU2wgkAgS8m+xFbX7mpCyZFuDNsnWtBRkN+QOVaD/t27Z95Bs6eDI4SWVLaknR0iNiYN7ZmqSwuagPpaeY8UVUXhanE1eY/uAquKYlUFq5i3Snza/Bgf/pBRL5//y1f9eKOwxd5cS90VViel5wpbR+fsc2y4yAW2HMnY9NhlZhoBlI0N/gRGkmKZJiS7VyMUypbMDw4zD8c2uzUSB3/UsGsTATl/HKCJvWRPPrvIAKdZ204sgMXvX/S72/136+PvP61Pq6J161TwUu3cb/vxnl/fLr7vvft6VL9fqtC1G+qqriPPKRKRaJFNLQIZkQHrRUtyMpMln6rH1f2G96+P6yrnvfHE9R2xvKEwtt1dp/XOY0FDKDelw5EjnNtKE8gkUhP9MYPBQVvnE8IAmZ4Y5iuqES7AXDrwTMsiyhOU5xvphN35L6kKV0QceLRlli8Oc+UhP00xwJErpHOXPEX1jD6UdjEyRojfBmUoKLaYAnskEN4sQiAXqjSGu5CUjXqazzD3aw/oNil9tjFBZW8JyK5OHgGNISwtpQyyKV0sdU5AdZIla/FcQUiv8CMRgKKBVBfxTMSNEasMkh9hjwZNC6MT0LaSm4fDgkZtSZ44FHICtMRIdz4kJvjTjikQkD0EHpwZy94KtcROLogkh0iRtZgiUO0KSI3fqTGZWhP8ETHkrAU2DjHyiobphfJpi8AEFtq5LsJFW3Pde0b0i0yM48LTP/j88uZrVAQiSX9KBhQIZEPcFsnZMQGJSMTloILNiLYomEi7gBxuY/o4SJcTO4XsxPwDraQ/eippUJUhn+IS0OmnD5w6PzjgWEJZBRatniohDnFu1WzA7y6ILjI7/SuP7GqYX8mlMZotEFB0dBaLT9obgrJa4T/Bywuk1HZsUMsKTOtp7HX3I2y5taS2YmkOhsYhav3vTXbSgOwzcC65i+4J9ctsG52CYzGNcfMokQx265ZTj+H5FGm5lHVN4ypghM8LHPW272IF2BWKVlpR7rW1gKXu04AAKbwtiQotRdsT34STXCerCGNu9/9nQELc8Ktn22vyyWjHOdEw2U1nKm937ZnJTnCjpViYmJtMZvI28PmEshpaIaRWpIv0Ws2+6v1r17Vh2qE323CjC54hWyXY7Pm6K4J77Fmzm8x203MdyopuOULB0WvmNlrC9f+n6s+WLdmS5EBM1cz3ibhDVmWhMZJNQvhAIfn/38I3CodusokWNBqoITPibF+mygc1PzeZIihUZd6MOGdv97XMdBTTF5XbmeD0NtbhoV4fpg65712pYWSbJ0pb8NnoxycizAxR+Y92jmM9PQa54JKAWNzQOzQVbWz268LqTAk2dZHfLryKVVUclYo4RVmfulUTkPHQ7ZPWDuzhuQxYRQqwbIYpbEXeUKscvTSDLkQsamCo4j1D1Y/brLvw+lYgj7qPpdtXu4Sf1If0l9vz8/hbfVTeAGT+s3gMzikUML6unoN6/fPw/Hx//jy/v/D6Vlddtpqq6qhE5yg6NuMYalfS64G+b38O/vr++Xl8pDk8NnzeUx5J0Cm+0n3ZMqCaJ1czZ82oJf/VEM4FFnn9ux///f/lH378p/PzH1HsC7rhx1iBxFrmnk/+li3Utdl74oSXG7pr5kZdtlMCLruYgIOcLpHJ2fZFysbYOlO2qi9P1LVITnwzt6bG7m7APrcBvtibLUhJrOdM9Nk4PX6dN8GZbhtMvFie5oSnxx4CCdWOKQjGgFfuFjxhValmtSR0LTKp4Su/luI3f7HOES8hia4BMLS3ZYUuNpeG2GKxHHHZBGotz1Kz98iOAAhQRWGXMonoxYgEh/gUO72mvuJCw1xx+bXV18ygMZjjpXyVn0mfhOFfv+Pj37f0cW68/1I9NsXTSbC5LhPJCvITGRe8NAcurhmw9gNeFCsaUSWujOGHwaUHANNDMHUhYySnPG/tg/DDiss6H+IzEDUU88zXpxUMpNK9kMi+fPtMXIgL1d2/+fql+9989L//+Pb3v8zL92W4eIvA+cTcev/0+fHz3Gfue97jw9H4PZKsiqd8JmCKALrQFwnWxW7Us/dia4YpgZDe9Nuff3nfPwea1FclOqLcxomrrFgMpoxdSrGq481NI6LRh5yIYyJlNt6Gqfjk98Le1Tb8PJnhTUqQan5QofZnCSHOr6ia+LEzgDyHvbQyjyS+RKDziDq9iUc2KuB1pgk9Q98ogQHphaPya+XJqUS0hBdhXQovhrhuN42OjIUztw6+8u8Iq7bUMj9W1SNUzAgWmWzWA6+m+7E9s1ywUa1iz6MmTndCO3nW2fvDOBpGSWFD8VRUuZ01OFgIa6mNMOCZSR5HTY6ndh2amj0ataS89+GKwcnZFZGdMrgqCdeGgdcfk1ymSbufHwvY4F6HVIiXAg5uifyhY1j3Zq3l3dRBHHOjqVSyPnEtRX2tJcI8GEYlyzRMWx7a2BzzYDxBcl9T2LNVZnTP0xJMxWlChQRfKci+i3QlyhwT6AdYu1ZQBa+8dNVELCjKRSHTPYOKIQDxWM1N99eSEUz1D9dtv6hp7+UVNIOD1NuCXyGheaQMV3RUj/AndSMRJTybHR0mC91BvxL+9wQGZTLG7NQ4jyzKBe4JSGSxBB7s+g97RwGrPckZWn7sdOFsoxie8LnJuFwHQYznK+TL/pA3JsePobrqWXgz2a3FL3DLusJRTUwB0PW0GlRnFqzdLAoQG7IDx2VPLGKzfojkieeEr6/NiUuXRTngxlKVhS3x5CLhmzqyI0G0qB7hKs4ME9/x0DZUDki60PLsc+qccy50LVgQkhaPVxEtq/Is1FYch2ApG/64XgbqWiSDsdNP1YWcaVifOvXG/Tm4TZcG4qn0JULcOXxZ3e08RjF8lC7laY9CJ1upFndXo3evMhP2AAK+IZqcPR6Knkqi1KGuJ7cpGrfdwdscLotVNFSiLNMdAtp2sb9cDd7olOKKtPbs5NclvgShwWqYXUtb1pYkBTYuoMhX90XVa6q+BK94j4SSOaBqe2uFSlwEV9YtZB8H2YK3qo9lVwcs31OLWqnIWnmWeRrXfc/V/LxRdfSZep/5KAo4rqO7q6Z8+/xmwNf9qm8lV0VkHvPKIe90gMxbV790S/zr53s++sfx9cmPb7enQHwjPj7qavE4EoPbYkpwzx0L5qfw432/pfs+9+E97zOmI3nIJ2cfGbUXihJg2eacA9u2JHJk84Pn4+r7t//27/8P/+Ef/+/nf/y//hNFsbtmEAyxkh7wxwK/F5iwKer2yNUo7GmKtaSF9XlIgMi8zQYzLVoBjOQkUWT5sw7c/NL4u5dVsjkcdpFzDsnxdWWfVBqFkAGzIQJHWnM8H/ipIE2OoqSNdpSYARBViCsGL0heUzt3q47rICkG1Xub5Gboasx2Bl+vPgQm0TOh3b2llX6uvZwmcV3u+5a3jYWezR9btgpR2wcf1uI2FeIifRPRCAJMRlSAI1Lm3IZRxbdPyzO+D0lfcrl88abPmDf+5dzfftXHv/12/unH0c2/FIjiYFDuwy5vs18ZCdExYMo3QVz2XvVlbdxAcfWTME4kVnmEdiDVBvmLBaIUWdZK1b3nyuJbFaYue4PPguZRb8fRmbnPf3uhY3E1lOt1Xb/19a++8R/88a9/uf7uW7IzdbD49Sn/OPfn/flTc7/9vuf23JDuETGDY3EUrbKNQrENVFeT1/WqKx9KQi8fm1xAxdF963weHKX6rR5QXtajKMhkGeckgYk6aAeM3b+BkD0xf8In9i8wsCPjPVa8eDQIVeXZoFdy8tjXliqO2EKB/0XUanfyfO9LFdFRP8lo/ANqygEfC51IDboERBQfVI/ePOeNk14oPS6ldJhFiVARaTSp8fN9xySGx9/tgI35uidPfmxB2cpVqvUIL3iZHdtL+WN5jgQF7cdaBpGU5fUhNMpXQSPooz6YjC4xFyqyp+0z/mi49umFOHsAZktXeJtIj8KMBlmfPOh5bhHGalF3K3qFfOUmBFztLw6NtjYESgXktGl6FH1LJq4MRA4CyAckRKXTawke08JIyb2PrzGDtByYloShR0+5SqANqMLXu8dHMY5s89pWwwi9s43u97HK2z35MsrziWDj8gN5ArVxS5UxeFyR8AZ6T2EKdiHhE4OCbE0mkUAsZJ54uKkFu12puREjQsn9b0aRsk83HoQ9zFaDxyhMfuCYscuXFtcAn4E8rnIH0yl7UFvXFlgHUfd7R14DwslQvgB1EWnVyiOQ0qAcKyHotqhr0s6xBNCXysJfjDHc6q/lOCUQj0bLcn+1tIIqpIWSenakVA5o1lYYcRkWWcs8T8RBSzjJmPhyHKcAKnKS6EGQEyPnT74MPecTor6Ln7935DVCtmc/fbCFcBQYVz/Juqs3d3CGvWprE+K4D9PI7VrEN4CDosIKo8Tg3kqsocW6gjyxa7S8bKLMKTpUdmRU2z9BdqHcCawI/jnQRRcGuuIBFyTPaN5zfwYTKfs8QW0JUd2soBAA+Xr/YN44ntj7afiRWKgSwS6evMdjbriINGy2PW7Z1d4yklxooKXhg1MmK24Dt4eLzmBfS5pGDhsHeNjUbmC3r/gIllF6gWdlh5WRJmcuo9d34cWrQOq4RdfVKZW9rg93oRto5boSlcP5HmyC7GRRLiF61lXNPS8fHs9GZs+amtTdrhQwgSm7QkatKjdn3FX30DMWf95zXXW9eOhi8R5efcF93S9AGgu/uf1xvSpQzcmCdSuhcDLwTfiB20QP3tJfuz5K8/OU2/3q+fz28fr14/r1e9VBUJGGD6fYJsb4vM9f7vOXn/N+6/PzvG/LkGfuGX314bWRXGqjyANphgZ9z8pxDX++9ZP117+aP96/fZt/93/6u//yP//Xf/5PbLxuQz27WQKU1P0FqsN5UbPblVkmJkl2eewz0QY74Z5NGff3+NWAkBPDB9h4led4pa1TiIYnZdrSo+TBiIYuFBumrmXoQwM8zqDxuAq4nQ/tj8XehnQH1sRpMWsOSRwVq1waV8dAbMaOXXFGBg6hbdTswRLzLhlIrOgq1LWBf1JdDxm51P9mP5l7kphMZkBaQTO1NlY+9XjaiOdchL4YXNZmlZAwxVU9po4lgled6TbGw9GdiRtvsMEa6DUtf6pqcHt+/fDr333w/uf6/G7qnOlXl8w58HUDr97gpKTeEeQFOWEXcqG0aTE5HIamMageNn3wTCV7SRtL9SSWJgAG04izQFvmgy8cIRKiqFTC1UTT0YRcZOAtmCq0arrpj77+9Pr4h4/rX3/jv3L9cmmvUdjiUPd5D+an5sfM+/15D97H4nsmUZ1WEZIwkIyLpfPGR1/FulhVVQF6muCEspquMBXy+3Pu9z2f7xkA9AxyLA3Vu1EZ5GANsxFWBZBd2jSLwEpIgGX4O1dWJvrKNfAc2gM/H0tmkgxq80XDBKGnLSXJkIkA2XRF+/JlfplrL2jqWeIQaccGfljxzK1lo1HTKwCq2oQ3wlKVZ/MLl4AXcCEJ9QBUe4j7qarkHz95BhHfrC4B88CDrNJIQLFtIT7UIBChrlHPorxq9hV9XBk6AZHtr2qjjFOe06xKMhqxCeZAkUePaDZpIMvAMKY+sWpXYBc4D8iaQUhzarOmA0BnisempzwdPgu1EIhBoyqjvYHM52Q+GFJO9ytGAhos+Mi26uol6IGXr0yGrHFcf1HKqThxL+QcynzGDNXM+bmqyBxJRhfu1ZjVM73lpq9KJLyKXNZfZiXfzEATu+Ngd9SVr4QD4YKv4MK+ygl5heqCgdmniSAmie6QS2lVz43OzaicXco2isRrGXvm2HWOPRIaPWdJZtSVsGtfF3O9sSqmVPtJolE9RdgHDtvOSN/MVeFbDqzO3Sl2EVaR7s1wzPmWfTuv+fof87sHUXA4xZDQ8fwnDW6NzJmFsUhBtFkhdVaHvRMTEDjJ7NqEhdgpJiFKTliMk/7AJf+pJPrtzJcZD8X4+MLsVPVToJx6RWyQ6eK6+VU8SVI0QM9jy9hpNxNm3tS8xj7P07LTuR8mLa/SIpRZTQplHGoVkmAZSEKrY4QgvE1mAeg2dH+PRtuPfxbILNIw4UnXPFNlHMArkzWeFIAoVcrNfcJzf4NtJwA7jiWAuM/4E/fJYw3P2RhI4mgbESGoiDns9o5TD7tO1hWtFMN0gC2BjlQ6JD38VRGTPoRxollqRVuRtjERQmQhzYp5SrfPlw8xllE7ajNsZsMSqju7QE6lxfNtbdoHVgXK1SwVv8KNipx4QBCNJ7oB6fVR3z76hYTuWzrV6TkdT31S7tpqb8ko1cS9IqNylvUjpAqisMjQAuPJwDV00RLcAdJrrnWzFFqjc9ulYbdh+wxehfoQjIu2MMbM+67rvvHXt37/9v7t++v7t6v4cY7GljSavLh3AbwQ7/JM2aJf3TaMN8bk++Mbf/94/d0v37rqW1XBVzcHaNzSX9/+p7d+3Pgh/Tz4MV6BjWqs8rheGlM4KSpQdHCSEbbZbhy0OZy/3IOf89s/f/zlt7/+6T/83b/6j7//4//yX+t+dffg7P6cVzu8nAinZX6HkjA/llFXAsWYrixu1NoyzztnJ8lOIC+wWNJhtI5ncfmcFs5whsVvQDWY2Idj1SmH+/MjeSgYOmXMKRLsgZLSzU7HQpzuXucLUeueQxYEJtcZjtNg7L5AuUN25l+Lj2Y0CZO6yEsBwwkkWokdqYdmDXO/oFeew7Cp6RxlPTeJQHi6uBfSvjTodU2FrdB0xcWQbj14X8PKHuE8+5i1FVuS5SYVuGw8HpEQ1TM0b2uI388vL1z/6pr/tW/PxZKOUZw+ULMGMO7y5ltq931cD7K6SD0Xtw5UUjA4oyvz5+opsvo40TAZfUYR2C4ZvZKWh1zM1hQVzgMTdpYmro3LD/xoA5eIxveqf+j6Vxf//OI/XPwmhJPbLl4rC8BP+8d533z/uEH7hs+RheMguoj40W4WLF31cdX1elW7e2uV8nM3FW2Kp310Pn1+vN+f4xse0wO4imMOmaqeHYM6tz6p8YWF4QPL2/CXfjrbj1j90NKbJJGMTNElA0V5WgnJXrWLwdi2qvmVHYnAIPWsGnFoEcMHRuMwMFxuYyK75kRC4QVZAGD1WOv5w94vWZm7MBF8I8wU5F6aUVWrF82ftnS/rH5GPxMtqiBIx1VJyuX6yWxMotMyR+X6JpXDPE+nLLAqInqpIjJgokH26TVWBgE2+lrRjstNT0yJ3ZsaaE6pwqovpeOoQHkg8nxVPWv5QnaivqO7dzwAgycmuOJCrngMhRRmLMadwY6Jgnzwho1E8aavENY8fwDXhhhI5GKdJ9ogy54EjjQcRB35TOTegyxzkY39YyBh+jDxnx2OCgg6gYPUYhM1drghoCyh7YkXMHKWlTXBpsodDinEfRhMF1DVcMRwQvfypd5PevIl+yFJCjDj8ldPaqSAx3DJ56nzGsOQvPjlLjLLc+CuDSp7JrelYAolBY3IA+6cTSwmxjST5toiDEtGLyEXYKAI1XCquKBWRWXZaV0JSTEL6QaFxMrDhGf5u0CldYSIyDC57HhUWlgF9UMXBFnAtu0ldSHKOephl+m/WXKdnfix+1NmQ6Nl0lfoVatxReRJHBes5CcCfelhQCEz5vlssFGuL4kjYxkPrQichNn8yl9imedhsvD8D4J7k6fUkBi5ur50yVjjTgL8SmWQCS+xQXs83O6TVRsuxJ5npvAk9eF59WJIDlVKbOtxPq8OY9pVVbEPRs+Cpd/iwQDlEoY3fEtv3Gf8zq8cdCAnuZmik+w7Wa4npxM6nnlkls0Oa9vJ1lZWFG3imnys6iqdAPPe/RBIbr1zNiN1eqF2R66LmND9+kpIwApF5X2+nuc0NG3ZQKuThM/Nr9rn68R5pJDYa/tRMfowFFOMlSTcYuFVfV28LjcM9nBcBGsoTzp4cmvtHvck4l54znp0DZVIF282rniVHZ1Hrd1715gKqi2qtASdxyJ0Bpdx4O4ktaq6pvoyPObVY7jGLMz76Men/vnH/f3j2y8fzYboGbZ8A4I+J9mThYNN/OK8VZcpzCEofP4V7/P58/j3799+Fr51fxAcj/Tjxj+9zz/9uP/5r/NPP/SXt2zK0859jujdqq+DU/P4RACY8bdA9GiMe4aiL+Gv91Xd+Pz4/Z///f/xH/7z/+svf/mf7jKuJGyj2EkAame+J9MRxvoS3oX8i8QzVRGgOvtYbhGA4OPrcZC5XFoZFBqGxwlw2rRAVOILH5+WDWG6aINHcblNuUEN0R3AQ1KJSm0Vu0oJVYzALalwRlDnoFb3dvrWIgt6wgpCp+gLi8w9W3lg6LwCyyvLzsVHHqFfjXm4Xg3tLgrP2AHUsxh7Ei7ypXfZv5FEcdVx4RtlJTIgGH9FwVi+tnEGGRpQ6OLAOMPmPSyg6irb2L6/Nq10XKI4uQl/nB/12y/3t6u/sz7DUl7Z0C6YHr/4cpR9uUKSSMNrGfNw/ROtwYP95qDInLbfLuFxlTXcsmQQk0HQdjGVOrkbHutXVi8nXhMYIBnK9dgKMP0sWhdIsj4+rj9d/d9d/HP1f/dCjf3hu2XppvQ5A926f976SZx538fy6K2RbtkpOqVN6zLnyopR19Wnrm7SFbSB6YDz6uU4lu57Pu/7c3TEgYI3admziNsf7DMAebSwgdeDhzq/7lpQl6oqrXkuI59cFzXgl4E690mepty6KSqjSqTIBvH0HD2b7epXQDxy5efHGKMvaBfdTXqpNIc7W5kXsVwYThYLwnXxiflASlJ6Uz0KlCbWG3L137maMlg7deP1hQcC1hQslo2LIz55KUVrhx97jraBWm5sZOGzn7qqcy09/rrIEZfYBFJDIwBVJPvABbTxShpz7czExPXwcdTk3jVfbH0JbhG97H4DwPOxLjMTg5EjCqJWbPlVSRn0DERqAfZQsJSNmtgv6IHPG0+7Tzam5q6WOq4LXM+5FEkxd4/Md5zuBGSpr2cuKFIP2pcsg419YHS+kbE3d+zthU+92CVhdTlRASDNVUJW0g6CovZqKR51iyNngj0jFhob6BfMBuVFPaKvUdQ88CgWaSZhIFf+YjfKuJ/aFa+KQZFOVqYU8vl7MWM2HfRwJeC9QEuVZlaZUV75YSAiSd4ncrdPS6ULnIFaNZhK0E3g9hXl1YanqlAaVsP7cKEaVDoEI2gCo1gr5fNaZf+jtDCFiXrmSxGTM/H5RjYoIC89ScqDvNwTOVlY5AxwzLCZ4TZ/dI2V9ilibwAYttuTEAQSyULIrEVu1hfWCq955H0pO6e9CWUglgrlLpZ/hP0lcQSLB4Yi2WuxWEAembjq8i7ya180p7aFzwSjTH6Yuc1L3sWJA/MPYCQ3dLSWmAoFWNK+eZUMAtOouuIgqeoviWDO+KgIgpnbMO7bc8/cyhyF5B2M9uXKZjFPgumeu0wkqL6O28LydWkpCQj8nDK1uZz1JXyWrYirvfyJE/P7RzteUArSuINoRX4WNSIIrc4caJSW/ckGjkYfahAbFP24J//4NuwwbmY6X1yFlTCFphV1AV14Gd+qXh99cbpLOM8za4DC3LugBSgueaohTZK09ikGy0Vz9rjZaNjqRoQd9QVWFjnu3OHMDqbys+JSVbTrjC5CHk5NvUyo3GNcBhr+6QFw4Hv0433/5Xp/fLuu1+27E3UjqS6+h/ESkqSkcbXoQUtEX9eY8+7xuUcfMKp+6+v1Ue97/vr2P577nz/186f++vaRojkO0za2ThPQGZQnQwORyyYK1MSAT0Z1yoe655dy/8a/vO8//ev/7n/zH//t/+0//2ePFxmzHvvhLNgDLyq5L+xu90YcBiSTgr+6vmjFvkZoZpAoelD1JEd4EEfIaJ1uwqqZra5oR1INIaOygahUB4DudplRqabOJcN+Eh2UX/qBffKEJBeBaAyUvrs8/73v/ct94nztNfsHbf6CCfGlZQwEbZiVaIPuHs9lIKW11XJTB51sPXpU2K5CZoMIPisDXAXD1gsuvBmbZG6qdS8DYAdQ5UJgqiB1WRtABVRs2EqN02ZfJazGWQQtum68X9TcH7/29bvOGId1BOLM/WP0/dUAqe4+mmabFvuSlaYXri8r3CegBYXjsVzketFWJjZxnZK7PmSkKUJxXDPJ3YGMhF0i6HgiYdcaJIggq1MC3Lx8vf3tQ3+y/k3331/12zX3ZQ+uQ5xiXY17qm7Oz7s++T73fI7f9/3G3OeMLFruD3oieGwDarbrxfLr25Uu5l7FMF3i6WkXdCc5dO57zi0daULgl3EgCNXFUdkqlFfe7sRvsQtex2E5RrnlssOhtOmizqBJA5ogoHYARJjsdDSvClJ7V2aQMAB3gGStQ9I5RCp3xY7G7EDw8vCL1LUBWBSNKGJ3jfDGWuXbgKPAfiCCrAb3wrKT6z/tP3rEYLkxJPaygDzLQmQ19vriGeIYfqIy0SqnVZ1JcpMppg9ustUkbWsdrM/jBtfmOOV3BZEYkOASugCgWgDYqJ07ARXTytbuQAVgETMJYBQfhASroSRjlBui01RbgISE67F2joOkhEo9A3qUJJgkY5yqyPAh29uunVS9qayF+3X2ohmrhoo7JM2uFpJ+PJlCo59MUnhNIAR5bcib2BY1Bu08bNmimBMJu3c+AsXgPk/yV+CfXJEZSpTPAMuGYtm9yN+LEmnXKsEzlKlVbI7lYgWuFIByQRoPOM/8V9nbU/a5SiJGQVNDFgW2Gv1MNWCh6TGZMsHML5SLrF7NZnwUm5Jp+I8gswRM4WDR1XwBEfLPlsj21ORVjX4LrKzWSzdNlmSm07aiuKDex93LM1vFrBm9XV5PWM4jrzFANK1VFVWCXcg4/ff+DScXyaF30j+jLjJMXPrKQq4lOL12T+ShGj2YipYKRFYWR7SePbvI1F6vjnZ5fHl5PyQ1qFyq8zxbme2Wj3dOLMpoT6HEJ7P9CcWDa6O2lxOO6zi8UoAaPmu36xofFNchjNxkxnQ4Bptp3klDB5k/6PlCUY8JgpTmOY80QOFypzyQRKUlDRSqot8pSs3UF0ODc3tu6SZuJHswXxafoqCs7gsQRXRjL2OCPQ6Mhe4ZHp9i5ThxCajamNXEG7BpZ84l/DwKT2snIqdOwkM2IACmEr2GZ8ONqEw7HyVlEvuhwCfyewBBXpcS89MO9nVjr+nTMHHFfdHdiTp1d12lruI3Xm1WbSKagK4pSHPzoj1BOYzD6USgxAKXBVpwS1VVavQQqJpysYjpKjDCT4xRrBMsOhCPkhWdWlxV0/fwo0hKNRdegKGjwgXJt28Pr/J1VVHXfSkm95vvG3y9rnI71zbPACrwjqAgLOZbhItqeeomiBd1/PHz07SP2Ncn3Bzf7fvm55s/3xyxNr28BRxBclOYvgGfyz5lF3hIkMUaydYZR81MckCO/9sP8r9cvwHz9/e//j9f/+//z/0v/4PrfNe3KZzhhVMsOZmZ8zBj2Y8hR00FGv0EdCAzfHTu2K0vqr6iVkK3q0QIclLCq2rTbLLoBpEhOxH4ILpqEtBnjJQ0kQzAtoyrCWHo6PaYfyDHdYkwXZOA0AGzxCGKQxCsWuN8xxM3N9CT4PHa4aWqJUjVjOYdn8ojJaJxqTmYOCbhXIVz8n4lIaVWNFWG6wqK0EuBY3vGnT6K17UohHfdturqtC4D10SyyBOyJix+KK51aBpuEylIHqrLZwzzYCpMyNCc6r7Hc/rmz194H02d6yfwU3MuvMhBBeozr2hQKvl/uDZf2tokQzsnTGbjiQZxfeFHbsYYkbUwggYtVAtZe2DkA9t9q1z0THjuNHjs3wk0qZnGhbVu39/q2y/df/4Vvze/X+PyHNfrojk6R5DOnPmUDs7MfM75PPenz9y+J08LAR8CsBrUtaoK80KVqje0B5NrUC2OoNt6a86ZW/ccH8zIq+AVtC65iM+4db2hPW2skiEhSA1F1J9YYzzpFg8YyaCABuPCjcmmovBMwGruNe1EvkJgwpvJ/PBvRlVu34tPgipou2pJLQqzfrcM+l+ig3pCOIKrGkj2VQIqCs1dzUWwn40fIIvmRAvS9sB0V2XfXVhgATB6SDpmSTyCUTqWIq+OYBcNJhBhJ/61xcaoQISDzEfQIaubmiqgss403OgEFNBpv+sdZJYAlTkZKRklSHwDEbk4SUdA8pf5EGHyzr9GqeDjgHS9+JiwzGKsGAYi72UgjXH5uFYguRxAaIvnW02ABgio1taXABUbnkHVzImviwp2aBUqE91ScRlETb7yItYieI++JP9nxqpFbJ3P3KuQfgaTYBlhr6JG5yMcsKtLmds4xhZGMsF9RfFI3b1ofqXqVIvN0hNiTMk40p5G3EqBjTiZp43eCrIK+PLCz+k0dHYMObYFR2YTWCsYT8wLyaOLmgSJgnu23jKSQ43CGFmdXQlDQVUE5mEHDVZ30oXyQpQa9dXnAYfxELo4GoIf3L4lWlWlyc+yRXDshbdAGCp2OOBIR5c1WiLvgWMQeMG6ouqNsCk49LIXy8jowfj2214HbArNCFT+KErVlew+ElU7AeYVxA6hIOnRTGtpGhylXzLoVQmurrglk6iQgTFmGstwu2dzwYAszjum2zBmoUoO1Stt9w592ORabBp9Xu1O18qyCeFM8k7vbsuH4sdzeyPBFVkdu1FQVwWhO0ZnN8t5E9AGvba543PmfeT7eC6aS8rgeLLINZADOFigWRXOfpGy4DtIHBfMJ+XzefaTyQWDRTp1GTIG4GPA2hmXWXLtZRn8EEWMTpXbuxMbaAM3DGzeCNOzsFJf5ODrhfjgyCz37WLNyls3SQZlu9fcoYpifNx4uevlftXV/fGqLoIHQj5bQSoPrMnG5IS/cAsUa7eMbGrF4BAjX1dngIi0urOQpy0CLmuhsyzJBA/7oiEXWw1tcbbJvjLVEkMU7vGLcBXO0evSKXdRhoddt4pnriBXHB/6xZqCAt3MuDoRtWeiLULz/jkDHfDn52eBRKNo3cUOU3gfH/DcGFqaeGkjssu1cny6OhjYuSk6QcXEAePvSPTBsYxT72+6Dv/y1/vbL6/r2/n1z9/+w3/8u//hP//T+1+i8GADaB8GIn+YGMSmldM+UZyGJp971IaVm9Kx/QkHCWXXKm9fATQSlT0zVXU8NbXnAjDjulxixOGhi4Q1ZOQHiVSC3p6j+AGThENT5RJYziLt/e+DUeA/w0SB7GaJL14GX/CsdWRzDEU6NR/0E5uypQNRtq0kD9o3H3XtbVRGHoxDdM6XesLBKyy0YqRqNrh1i1V19aJ9cDdwwmwVgHpVCI5yAa1yS7YHaHI8LeRWNOztjCaqQbKnp6RFPFwTnG6OhIOf9a7rw7Sbj6bac5+DotgfwGkVrks8xIft60rWFMnBgapi9iOX+4FFRZVLJrPeSBpzaMbHEbaJNDuyPShH2EhIZNODh3UkvWGm3uYtyPBHv84/4Nuff8ff/6JfBh/CEWZ4QZ+y6UPcOkf6ec7t+1Pnx/m8j94+Dn2Yj2vDmMhpAqiqTqVSUqxQcaaaLh+9B8S837eOfXQmzUoqw/aEkwI6zq5sGIEDhbK2OM4WZ838fPxu+LJHnhy0j90bQRF2NwF2gFkpiAGchVUjnyLWlBGcztwxLivPH64NZOFMPd4XDfzYBChUtAu9ELHPMrxFEBEdMxezUqqnvQcngpP8UXnFEhgHh3WJU7P9lSGdXXm/ERfohu8Nm8q/beCgOrQ0paSJmghtuBbWjVvKRVGFiEGzyZi8oiVi4nnjfUNcGIKZ9I4FBPduSxhPcOCkOw0PVgsZBswsS8WHK9n4HX8R+exBTBBAc+zU0NLuL1FXRul61R54T9yNVwJk1k47yU+rIsxV/dIlDavPGPJUrmD5qSTKZK8TdWHvCDnQEgfRZxeZKKDMvksofpED3tpnqDcwIVGRWgyVRWhU+yFq75LJI+sqYsh49Jqbxs8FVhe4Xuu1zS/5A6wCp5JnthbkqFO2ccUdzb3trKJwZPOBU22iRHaOw3wexVp9wYpodggeE9nVI+fbV03MM86H5lTagrIHeveGpc5mJWdEtY2hHZE8cvwZxgau2D54NCCZR6903nhUjeFuKzsTBnm9cm4sSs4/Xlt/CWr2d2VZoQVXUIFn2h2lGTe/ed6n2FO0MMUyPoXQ+f4icoIm7F/N/eZnHFOudu2LGQ21scnRwlhpqnYa7hInOQ9DTHKyNHPxDxiyrmeEBUiMq79cHBtEt8EoSOZIg4G9agrlksmWZKqyhxc4UXfmlE+ffSbWXYoG5tVZsDvoh0v9LBGPIAA6gH0V79Hc0D06wnCoL5NDfP6uRxXHvF7sLANFjBihHYoo4vBBabDUSjDFp2YTkcWVNFErY82IIkpTz4uAx5QeGATgtBsbVLXaK3BbxpyUWgfzAIy41Jk/fomCwLGzd3mFXYl2y8iJEV8VJeJypf693Vfjo+v7db0+quvxOOWFapg+8A3eEOmZpTumspZEIWl3B7Yo8RS6ySFfauBKefKK4lhkjUgOJjWXe9ZWKy3LLuHooL9dsl7Fqi9NOo0tGkmS5HusW9VQ4XIJePlYfeQuqqrauDWoiikTpGcqrD8Q4PzojPvC56HfBAd0uV2w1agpaJL1uMVRgWNiaIQrvt2RbdduohDsxpwSzoyRXEv0qgtvj+Zz+i//VP39vr7xH/773/7n/8fn/S/Nc+vjcqj2WLMopabVT9BhtshAek4kUdRmmXb2GsqDVLTXs5TE1c2NB8xKCu0IKE8iVYh0NJOQuwhr0ppd1FxXjwCg469ZHBCsIV6GAdXEj4adGZdytnDZSuFyRTVP4IWiqkmWmq+nzfNEh5BYNfcsfU0D0p3ebU1ajiYII8NJ2RkoTgnkFRgUVSz7VLVkVqMH6I4Pr/hx0bq6iRTZIPcCroSRslFnzKuMqsq7RnYhn0Ls+gDqAqdsuNXRIBA+OA1nSIoEE2GEZOOmJfb7ncrpmy7gRu5VXexzDl4o8j5ws6Yac+UBGSdxxRMQRArA0YgtQnaHPpfQpZP4XcJJy3AqrpiVsvYC2UEpk9sEdWMG3KKgPlADW7vKD/P36+PfXPxT+2OcWm0WUfosvox75lP3z3OOfPvz833/nHNuHYzNiQfZiXtNRJxBoHCpyKs34ouV3aDl0dznAMczPGNLNfbYCaFnwWd/8M5QkWyURbpZKXYIuGBvlVA0KotHkV8A8WZKxRnQRGaLJ5Xh2QBSgdXoR0D8PBSOZ3dLNdlbmGNuznJFWhPBQ2SDNvOTZzxIbGamToEbuUyusntMjKirrshNod25tVONF7SP3Q0rqOP+E9l4c5uN8zlX2IRckRuOYnBLH/gMEUhZSiywVXRZY61ynDtjBYGANgwRtUgGH2kL/CwfeY2DYzl4wX6y9RVVzrS2x5SS7eDRwGSezkdzrcZg7dCZP2EOrwj64mIDnqeArnzIuwoF5lweo8qe0Cj5+jePcOiLnRAuElalyhab/0GZ0Jq7oGH1VryzYmmM9AEIw3bFGvBsPl62gnj69WIJcJSWfEJDVtQnuc3Z1l6i9tXCA7hmLVpr9RqEYnGpmv1BwjBdzx0T1U2koPRM4ESDFYOl63mMColOC8bjxXHwCr0VdWrCn/b5yzNA4dDXLpyzvwdjlByBRuFCzXrw2w/ImsVydWnxYsdl21jPCPMpBLdINxnT5BJSgajx+LlR81YJ4RlzA4chj7AqKgax6uuJnQd7/1p2OWDeZu49njEV8XsGsNdzg3Kv+Dgi85gsu1KJmmFnNs8EvmtZzm1VZRp2iuDzPBvFopW+ViAdjq6LcjlVINFtU7HQRpvd8yxVoQnyTqDFeQhKXl6Yjuuw6hqsH+OK9QBnuQg0dAACTM8p8gUokR/GNtgCm80U2A8kkww4UrGKGhR7q3FQ/aiPGH0aQPhkJWnI1R7rlgaabb7mOJqBCFsFc+p5uwadQUZQQ1qGF4CsOuGdVKqvzKcxU0xleBc9h9Frp8zTknh1tG1Ym/0AtKa6k0rQCSMwkPxTjZ/VUtUV9izI17ZsPdxSOMy8Az3Pzl/7HwWIGSSwNpBts+3jJi0Ovl34uPjxwesDV6ngQs1DTeft83xObKw1AIM6RwZcTrXjUpQoK905nURcs0tkVdbazZZQVdr04msBnp0VIdhFNsP7dBnRPm/fdDWIXW0A6k4TKY5lXBZ4tcCWOZiLtwm46tS0igrDEiMRGQ9v+jDf77qQgIYcGIrmMHIvwB5Ugu43HIZj+Njtyzg5GF2DnPUAC4MO8VOsC1K5xrfZ9Klb91X946+q/3Z/fNef/vynf/sf/vT5n/9xfqrnZSj0zlGrTE6QY2JRxvV+ocwKO8iMgl6eP8dV6sRC3uOpexAiOUUzJXxV0axYwYCB7Plo7ptAkBq3QIQnQk7dwgYSoKtsESXpKiSgdDPnk4EXapaVlshqMrWMV9JOY0uEXs2zvREcwMfjCHULME6EOdA82Z6oWqFN3xNGSWoVagTSvTSzUS9QfQGYSh5F+RVhSUfans0wbxUJut1Q8JhXR3bsBTMB0GK3QDc3UqNi2QXFulZuU5kDmjgYpVAyJIGsUmmSquviBeKUMeJQ5JRGqDemWZ3jw2NcGuZVOBTYrahw93YYCEjzDTYcO1aEgp88+Ug7s/FxfcQlsDLefgXjLb5dBi7qJumXIJZbxkfjzx/8h2/Xn3i+88zYanc6a3luCefH6BPvzyP5fs/51K33ucuT+AirVI90xMSxmpTrRfLCVWQHbF5ofI418Nua9UDBPrrlhuUh6InWf4Pwy35kxgAb0KhBkUSbB0AnUCQTy7KT/noUDKRi7TEPhFbxBn3AzLMIHyNN48iGEJgIXQ7U+8iA9Bg4O1KCDXh7Trf6CljPGOQo9AoGOyN4XgAvKso0kxgR7pFeBxFnkdyMXAHAjH1Mk870gL8AC1jXM02n8+zx3ydCtY2zyl4rwOxqzcauE2Pz3qx5i9IVC9dmSBX2DVn36l6q3KKJQMUrT+aeQBXam/QBnHu8NuMCK88pSSw5SlTGY+nVEmc2q+fbiwRkYHa3AE8k516nNr12D9FKnnnY+NAoJFKStmriDJ6xzOSmDDlyTholla+K6KgvB2mZfc6b/Mox96fMIChjvnmsJuwAbXWCZQbsFCCv1iSHHFYJuTkQlhEpyX7Fa7vLmBBdEiP9XSc3V/MSfYRzlOcp6DODSUtSPJzty3yW0ZwsX6lDwCaJDJYOwHY0BuL338DpHV9EVtp4lrBbjcTuvGQbCac8i7ezX2eC6hA9J6Igs6qe/sLAX9u8FqWIGTNOMPI8DtjO+gxyXRSFubhtzQbIZipwEr4smS6m+84aFSsw6SNvSgJWftP8tQHrsMvcLsL1tDhMroulgX0QPKD2A9ux3Ck/EKuD1zKpkXBt6OkDUA4eYRiAif8n/QgolmJhek62JP1n1Rtv9gOfEMw8Trt3LXfTMRwGu6dEbwbTLmYR5nungKzPCoxQ+8lllN3s+Afi0BcC8SiCCgVciUjcLSks5eaeVDqNkk0j3YNzjm/MkV06XO1iVT0O3BU4Ms3XSAvcVyYCDcSEjWgScjOibVejFY7ZX9D0Hq28Wx0PLxuRA3jMrzJHsEsGDbZndjsFmOz6zKYThUxO81rQNkc9JjvlZtD1ExDNEAVXdvp8ahQ2tSy+lgKZlapwvfjtm79/v7oCAvAhsgB6msc6DlNTMwWq12qNzScAteYlFDpcpdEAuirATL777WTVKV4ZG7G+/tx6IX44ZhJCwwg0i2h70kfivJ9ZWOFyje1TBOYcf7TAj8Yo4bk3cJV5joGzx37ewgExVk36Mych6oZ0VU08K+eFZHgyShOcrLah8r1WD84cEeaAgOJul9x77FxVdxGT2G5lOqWtETn8nL7+cn780/u3v9Of/91v/+X3f3x/wiM3bxxsSU5vg62MquhMgHCBsX5YU00s2GCSzE6rr7GqnFw121anOUVKaBoff3cEoek2dedIyWpxLX/DyPcNN3Yrw6awPJctgm1pNo5AxxvxO8u5lOO0lfu6gCUjuRlg3qPPGs+9ZPigkrQNrnY5ZBeQnb5q/Y9J7Mg184Sx9yJOYNgyXPjw61xsX7zCxm4wAWiKaj467IUNxavSfBAYHJFD5E3khbkLPJke9g67JPSeaHnYy2rrqEBWoCDauD1F3oLZcZ21zxnw6oGpSxQnphochN27kFE1d8OZ2e3OUB1EHDHexphymn+bFEkpseBBdMAVcBGTsp2KzR+M4qI3ByGZ/wGFAvahq369+PfX/Bmf31D3MfoKsONPTJ0zc/z+PPNz5tYc3/enxjjwjOcgMg8vYhCIohssdgndffGLiwgxPTOembck6sht36upCQk+EKabvTpjeVWYdECXhD+WnIScBIElB3XHyT9QlEWPAQiFs3N+Whixcpa151eOaX/pYLkigIjM4ZVSBH3fBNX0sEYkTgwCX9fa5DPZLQ79/N/c34L5mrND1O2JBihuV68lDvaTng5aW2jZKKpc5OwtusuBdm2ymRAakNlxKqIyE14cNvIlS1GqEEY5toXARN7AqUgssjAVK2MFViy/6YgJIxvUC5hy22Nfbq6mnRhUDfc5qGLeUw2aPDSs2V8lV80KeCNIyTS0uYsAk7esRBck3UirkX0ggHzySd1o70os7OrftWbusDyrVljCQynt2F/Tvp+aVSGpLMS1Uph9XmAsCBvXcJ5UBk4AE1wy3KW1dpndkEQ/2W65C9K/gGe7iNAJAbMsNPemj6YMxyuExuLYzyC/glPgCsAxzu55uBIy2OWu56Va+jBhcPW0QCdQ6Us0T6ehbj/hWKyiU2D+s6wnj3WBSJ7CF6iYTbi/jObY04g01nKa3cZH2hhT5cv1Y5uxYhnVAXqSaRN9FioKqK+1jE56cwUtAcI1VB63Zs3XXq2Vn699OBmK8QF8CXkJsmZ21+ZzhuTL7yAtcOEihKuyNedcUuQx0ddrlrNJVQdhNokwMtku4Eqawu5byNqGDcpxecCaLQInR6tRiY6xOthCtnFEu1XRtCLLGGow2KS53HBREzxWnfX8uGoXrOAlzUqvnbfL4/lgXYIeGw7tZYTW0ZG/pmqRhTB0ATq3YsoyN/bId5Q/x5pOaCOIXO4B7LP3RuWzkj1UhPySOkQSyYl5kvsxweuuiSy2nl0fxN/8mDsYAYgOK7iLHOUNBeBLEZQJv6xR6MV8ps8/8xgMvK8oA7ovOkRjnmZK78lPMJ1Mdq3u30uSVK0KFd+u0x/fvn17fXSJg32Ly9A06TrQDdyrEg7KCjDcbnyHoDCYqvWboESg6P5IHTRklrlRgab7itkhtW5fqjjUsa/KMSdX9SLVL3PEiwOWMJ0CVGrTJmzZEhog/dZV5AdZaOGwcFwY1fWi5z1VeTYib43ShaIcYcOA6M9zlnAvyTmRAqrFw8WJOHdLqTHTLPHgbic8PSCV5BS+a4ByV91UooFGoH3o8jn0jx/+9o/11+/6/ufX7//2+7/8yz/prx9n0B+e9FzoON9Cym6Y0ztBI44+lE7ngculGvJimZ7SpQ7OXp4bL/IO8mDJULvhSPQe+Ygebs/NPI+vK3KIzV8Bc+Vmh0tInR+yc3VHE8EOGNgUjJo+TSUeKSXeGaTTURDxYSZlAbhxZkYUCJ29lZfsLsFVXyFk0TeSILukLxMi/AITY99VYT1As+tV6jBdOX65EvF+sByjZJRZGK4GNFEJ9UQomwJaPqUUBxAn5/UqbpZsF8DyyEecGWQFsIFEZ1eA6CmsjJHP+KXUC34yP3nhCFXnEsBLKd4K2uPc2fWlBKClyK+FqbCrlIZe9DjLpM0zA+biWX1yRstM/AI6YvK2kg/EhscJOfh+8c+N71ddxTfSfpT54b4H0vv9PvfRT83tuTVjGxr40E5gcHIYGaycPlcRUJnXxXrxqoqMK/eYNX6fETTbWRkPwTlOs0NIhRxlFWVR05gYQJL2UOsYoUfNlfCY8ri5IAEf8U2+iQqL25uVEYEHd7PbBXR3i8RsrZIT8Grihaeod5HiXP7QTtK19R+CKzLercnOj7OneBQBiEJgatayGvIgNO1ehxk7dmYATG6cCsCC5zgQe37Z/Eg0MwglvCphZ7Vw9ObK2xNyvHdWzChXcTRE3xtxh4DUgAQyf/6ofD0IjL4/ZnnjL5VG4hSiYY2kueeBuBWC2qZedbopSRkfkkNKGmhlMgOxeQfjJAoE/Z5Sxf+PQlmzr2G2uRo4kFTJjyjCvMyz9/9m38CBa/dkNgDUeC4Ku5FqiY0ligolCsnv4K6aoms9TmAt4o/dAMIzxcZZGXK1oWjrOMyzQrUKqUBeLHKJYNXSm7PZ2xGYUfHRkraAKwIJG/KOD+JpfMMjaeZIOXBCDLN2Q13HR3YGT2r1Nh4hcLDM2kn2cco8/0sU6STklCnle/z/g9lAaBBZBgW3tdDsCEU0dBQWLWh/SgAO2I49YzqETabh5j4bUR9GZJGHbJk/Zlhw2DqaSIb7ahO1Vg2NV3n/BO/VaJ5eOq4uOwfsU6Aes3M9gtU0Y6XxI+qxEVQdSQ8qKOvy08/tXyWy7WIPHjW6n80x97DFRPfVfnoBP+vQleISph4F10Yl7W+R40bZJzTE027oLG3OkTW5q2glY/FxAa4ucdX2oQ0KfPrk4IGcmKT45Wz6Qbcz2+cOygi+ZSvVqrpym6LD5CipWRnK4xXIV6jPmbf1FkDPMXvCYiA1F/VQgWAKOASx8GTkBSkilRKdyt/lh1OrfatDW2itrIuW5iotahbcCYGxIdtdUO6INQ7UWNiZn3tfrGDBeeT47Br5N1dOn61x2UFG4rMfL5H4L6ByMyBX67Vv3FX3x/Xt9eK3F75974/W5wEOER6DJcGXZdzO0RqDdywuC2ulNU1gEtIYpGOqLmcscxUbDbGNtN1POD/lgwZVswvmrkcGOiu4xvVh6IhkK49BEUjVVHKZI3LtxkieMWvoz8Proh3hhwVj5o4NdcbgmC/kJaAM31SMk4Z0rvIqk2H4VWWdHOa2PeNImHAEFnAG1ScnPcaYJKEtYWYZvNJc467r1NgKKFDmqbtuYepffvD7X/7y+8cvf/53v/zX//TPP36AVbN+FePLk54ny8aVhyL6jCcmvxgeo0HinFl4CsBYDbo6n6cDgcTrOqiyij6qbj53ULlCjuYsr8LVnPLy3LjyNguOKcNLbqLpM/EMrwMw8oHAQono4CaaeMa8gkE6ejaM5ZnbRz13Mv5KWaGHxc33pXJCB5ssj6pNJvI/AN/Dmxm9UmpVt2FedGfS80Z+prGri4Kv5ig/tIyrojuLmS1Hf5ZZ0aXRVSXjhvsItibcmyAfTOoebelNKXzaJlKUPDhxMPQbTrSNhVNADm8J0FxlvK963fJVlnBQ4EVRNfuWhzKkkwhc0KBr5yX35PBNxHAiHUB49mVHOd2HUpEFnyUtEt/oLDSrZMVEB0jVt2t+4fmV/cF7xqvNpn2nnOZ+n58/hrdndJ/B6L4bR7HzAdmIvQ6GjFHlIa7uq6tfF1gbyF6AOfftN2cTob3+to5frB0hVeSKUj0BPl7ZuxOjF0Yc3B83wQ/7oEQ90mG+KqiFrVg9g9hFcAw6YUSbwsqveYYXMJUDL4CoNyYCi1h5U9aySdFQBK2LdFE7MawlIdJ7uUD5CKxOta0nad/iKtIYzNaA6E6SNO2gWgCVgK9dJXpJ+WhXSFhWCbVc4sKV8PMjP0uIYSZ6N/NlYKldxU2UZ5AY4dzWMFAqV4Ox0GCZ9o1lJHbrNNkoV61A2F1OHF3eiBDVf0Du9ESDtAaFDTaJ+x0d0Clco1DwPOPQ5hVhwdmIicZoh47vLfEcrZYXRXB4ok0GuyJF1mBnsp3ymOMwW/xAhUfrngE5JlJMbSQsyUTVw8ugw4sPC0Ycz/XwEdr8RBfWrxftoIwNI9toI2fHzYq6CTNJtiyUHoMWauUb6/DNSTzkAJmRrylQeYIfBj0oorTApAfN1bANRVxJihf+RmlYK5NgKLCoh/AVGYmIvJQ/FPX8u+t5Q6g9JFgpoApKnDIpxFioSLTLJJQG9NVJcOA64bpp2F/GZMYGkNYajl1ftgQ88+FulxlQs/LYy75gkwbxzG9OHkdWLABZ5bCgW5guqGCmopybGvakiMmo7q4wdayQsG1PUElkuaZxoc3RAtjZ+cyk9BH2+vIJW3vTZZvJY5+Pfqxeie9KF8gHWs42UbyEGQTWyqXQeSSe5OI1PCeeAQBYHRc+QWFylRrwFcwp1OAXx7hSkIZnv6CcNA950rmrU1rSC5eQ1aUJS+HdFEhYnDfOe3w3lmQDs7gZ4cdMb18Jeif5nJyKdzmrQtxZDvrGR/f3DPpe+NLVlU/NTFAFHp+RFkLLsp45NxI5KtTfPhtBVRZhDNH07FApO84nTQRvspM0aQAi8psocgcHrYnCIwhWZtGLYSmqpojvH/X927dffnm9LsPTwA1UFFEsU0c6/iLXSsH8J+T2REI2hFsluZvJxHiRRb5MuKovKPHO+9N3EVMbNY81TAhwkRmVdm+CyEtOPh59Bt2dYyywcsFT1NEFxOIOtiHlUjoZzrPzVuCHse7I06yf2h5kGzcPI2nqeoG3QeIlHJk8pAo46BpPCeJ9vEdHHk8K3dzJqrZdMAGBpDxKxPXoYDxxgBBKP+wlSWL/vP/pX67+u/n2d9fv//b3H//tpudKNB1TAEuilAhVCtNVyViGGo9VMIPak4MHrGXkbCxBsgRHTnOSsV0LaffDBXuhHaCGsdkCzaVszYLWEeGzwp+NUIhY1iRmMZN9rEk+b3JmB5+DFCNVUirE9HKMnNBujY/q3JZElRqc9XkJNKeI2onHDoh/Pb9/haVBDp0mp6vtaVxoF7uBMmtPztyLMmNMSjjOxnh3MRtdbuzVw7pYXwI90idXlq18+FF3jlaLBJV5bvldMnFWoDrpz3BluszyU4Rv3NCFul6qGzw+FPvqE7+WmLmh6rINVUxVMYDtDeVRIra9yZK6yJOcObE6xO6OCwq29rhvnOv8DK+k3TmSz8c5LpplN1mcj6pfuqojjFR7axsEaOae98+Ze/S+JetTsD1zbBwTDW4P9QY4FiiTeDWvj49qM0LxZBYdmZjjxC55V522GgfxAicUCbNTaiR9cSAF+VfCkWOV0R8y6CVPGzNCNawmJ1r+lal3dJHQeHuaInwI5BLFTEBSqNiwh+6ME8h8UMUK6x5eYhFiXVgTWLQSi+0AlJAGLbm6w84ViQnuFi/quAqEn+t0fyE9O85KRJ4nHcl52PjBIXfqCghXUDoOWVmxuD9HhDXRRhjIbgzXpvOpVtNKwhRS/YXA9QLSUpzwraBcbZzMo5HKZE3OHjO70PhKtH9VYsWqCy7XbdALAjbSNw7RaRLAuqRJStsCtAEttC/UxFuRNPeAkH6ulr2TACsTax6UUNI2UJvIXxkDx73VVFj9KvjELOYzN7g5HqzAHtsCMQIotq0NEiwnITsQsxdQhK2KKFFbegeYKqZekF2cwNIPDPM17RuoSisC0cAsWYSgnHF89X74mQg98H5fruo/9AfO1kaCEqy6KLET9lik7GhyUSUR5XZbo4CY+XNALCUcXg4m1tkjpJzXT+AkWQe48tfqELE1VzDpFTxpWcvA0okvLWNw5Q5SVviLFCNvt3b02httvMdA1teMWymAAQKItyuW+rhHQ8j5gYCBdEIGeOfszmMsWZf73tWZC2sDIp+TwUEIQiT0Qqz8uoWiW4s7E5sWtTsiTvR/Gzfn9OU1aCanQ4284oy0cZGFiMqyWEWAE0Zm4xOgr/abxIMNxeqBr7TEBI6Orsq1GDjBOHRANOTZxZ+VZwdZKbwgQR5MrBMj/KqDqQbJ8qPIrYv7vaehFDn4chnhsWj3HlD33J8+x/pcBivzNpZc2GfQBBw+x1iTPv8YonYQXz42rFhVrbEqZzPZOiv32YWJRGnkCIh1hYWZgLAhZXclTWOASdZ4ihjmeoa289BZZXKKAFk3ZHMq01LeEDxbWiKeFlLrvYoCM2XHyC5EmOhvF395ffRvn33JeM1uN7w1VX630ultq13ppu/gGkWO6+qQ0Z2IrrrY9kxXBU7t6hzarl7srDGYakltDbsA19RMHqURm3ZRzXqP+oodR1Wd7PJ9b4mKNcSm9FE1QiLyWYQu2B4ZNRtMLTZQnFt3ac5gsGijDEMT/4eNucQ3hWN0CZZGVvfLpOd9oVAB9x3fVFAnMblBEDrceCdfinZgQPHI9Wpirotz21fJr5I0AYd9Du+f/AvP73793Z++/cvfnx//KOuS5atolXuCNKwfbq1+RHGsfPRBrVskdLjkda3xwzNk5V2LOjnLXWgpTbhwVBzFXy2B6/rOquPLBFOEcoH3Q/XIulDwsA7QWAJ1S4IeatXPnk3YPoKOLvICcHA3yj4JEzilEUeNS5nBcwnF9b/zS8hn5g2Mru4xm+xOXFfbiZrjVRGasyoQqq/NN21Q8dmC1YA8uzTmJlyamWlmYcx7TCjjiQlIBodjTvB82XKZOOnOLo88sihRLRy1685eXxcSOiBKB3mVqVtm9CIcuLTEW+4T2r68Po4dNJITpQckYSCA5BunbjLXSkLEovaIEEnlFlW1QSwWd/XpJVj4nE87zFo1L9SL+Kjx4E3ick1VU5bq/jz3j8+57RseeGxBciIcJeT2ypS4+Sk2u6rx+vZiLdaWtZGixpJ0gh/lj6vYRJzFLZqzIyk4C8G49EyavXKXWN4aOeJzIkMJQhS7OcoKuF6j5w6wU2Ia+gyg8ZgYTVZuma/50fn5ZVau780uConJjmyEbbk4QSlNFo7UpIjF2AIG53MvI+6PZAnF01fE06bxaIhSzgo91dPo7YnAXiYRwec3cMsTOSCftFUmOir6SviZhhbwjMARz6YRcoNKcNrgS/onMRGyRm9mH1ba5K/cGoqTu3ZTIwHixY7SI302C5hVkMfTuGB/yZyxsS97x8udhBfvlQxsoOJzn3vTfhKzd3XNDMPXrAQ/ko/Epsgq9ko64VT8gf00OnDKtXhxlB3hpktSIq8zZa0Ysorrh8o6tWBjxCSKU8tFVuCkjBr7NPnrpcazaqGcdAfXKj/+AC5Xq+7NK0N8P3yA6cA43lkBe1J7N0hvD5d9jeuqBcIfAI6oSoj/EMxL322JSd6vjpZrgf61Ei3VkyEIyRNft0ZqRXaHAB8nbmMJKPCSs0Y8iGZeikw1QtI4/YCky8eE1FijGPaBXmf3soqrA4l88mCLUsOR1yNkcVwB5sNsMNtxrGa1k2ThWezDNexriQZ3C+JKQRwfbwV2JxKKtWBwuDmUU3fAXQOTn2WIuszgsdyEHP9NxPFCi7OxbYxdoYChENjI+4D5JU9wvifICKgOhgLSvcNwyJveXP+oBYrGF3qzsFkWm5mkIHjVT5V1lQGQc4EA4a4J40KGMRYws2uCHYA+wqn8JKom6H7mfm2uyEXY98zt+z1zhHPBFG9kxcRjtVgPIUFUHNd7jNAQ0mvaDoBFZO5NKjWCBOX+C44ZwH8xluA/WJO6HkvOBYSuXoCn6cksw4dLXb1P7S62UNDirA+5ApSUcPdku+T32kNuQ/QocNNUMhspsFPmvFYSzl5Xff/l+vZN3VVsn+PBQMnMli5/3FYpsZZY7wZd4dBQBXLbk1HJwsEJQ+q9rkgQVw/REqpmGRI3IXZZNT7cTapusVWxAYznYkfIYMhTvLgSyGjdw9qAgm67wHaaIgzedCc6k0eB5TzwgY/fwLyNt1Cdra6zB/aMUOz3W2ZXmYeGTherdGTYrGnj8xbLRHqnN+DHGsVcS/FAdjcMqfIFEiy4DoR2yT04KGpY7AUzdPR565cLg/n408evf/o8f7XfIbgOd49ZJ4cr8TEEZhBXlEe+apORXQ7an3MWgAtBMAgcu12Wa/FF4CFDkEysPcUznlZ6mXLc3pV0MxODp5uPU8D4VEG8GJhIe5xg+elMTGkAhk2WZ2S84RcL1r08oSE6OUuudRKUzdYz+2f+mrjFJkzvhjSlz5wdzyJDdEbQWYbgi8WStGgOYwiJDdHUaDM1n2trF7wiElTTY10FR9LtsiALGfWN5TFUyRu2OFIfaSA5/mgeHGfkT+66OCDKEl06pnjkKOFRFXocObGatnyaFROhVJXWjCDRC8ckSSE0TC2FvpFbwtd7aqZVkY/yYHUMleu1gBEKkIYZ1tEqkTUldqtN6PgQ1+sSQJ/RwEfvv55zrDNzPGeQvN9JBJ1U5jznMYpXJUysLvYzLEURRGvu+Lc1BxqXPStG1UzCyQbiSqVVtlZ/g5VFGSl8gGMiiymY2BAKOWJiN0Yxa2GNmhRQnSzrbEfAakCe6DYgfsxMZEWyvGhlbhZyAVVVXVh1LVYnuW43tNfU1zWYmhIT6bNSCXjrc7hkP00z3lbgIfYVBcOuwzvt537+Ao0AP566jXKIkjcL0Th+izXaB+zKCrjseLTre7J51yCPgVbkNXnEit20kze9gNouDwYxQRgmKtb9yp9rsEKqYd0Bm7TdMsZ81Q6uS9pj6TOHkntamRGF5wQayt84QOfpyNidYakWx4gKIu7mZUtkVu1CjyJdrMd4mEchAPXJJ5U+WK5q7I8g7gVAntULe/EjFGpqizMkRDEoTWKf4jdJtBqqHEvIowxlglbnnD0htrr0yd9JaGllqEz0BFjXIyf9AxG1gqI/agzQ5Q7yI8KzMyu5XslG0K0YJZLQqhO/h1Yvhgp7Hs1DMgd2/NJCN5tB8Zy3a1V3jm0nA7f292c9CT6KsWrhWERlYCsaf4JPoueY15ItprEQcym+xALNhZdW11ddCh2D5VPGZnEXUcfjhjDWYgwuCx0vmJgXcHdN0sAiYWC1U5rl55XMBLgL/n70wEL5DPiaP1wqp2cr3V3EsgQQNoO6XJq1tD18y3MC0FIZnHxqIUNLPSmcWlLPW9DKBEGucUU732YpoXL+YtGAzSGpTZ4LowxVnrmYsuIS5mXl8Y6EnpH5bbetVawROsZZZI/McpWhgiwkWmndMcZFCy0P35ib5+dobF3SlHMSkN5IXa69BkZ0FD2B9yn42j6bh2UIShAL1vO2efE3kFaR5GMFyuGW4T0L6vNMZGPgQpbJKlh6weFH8vM8/u5dzuUVnD1/LqL0/OJxN0Joc/rA9WsGK9mNrI3JW9NYWhevF3/5Vr9879eHq5vmoJJIc07OOOEYCOq2I4EyvqWReGFD5iZ4VAZVLBSrzgrhFsrwixAaUEdqWh1kPeFEWNdWzaiILj3mCygYXMLSNod4KVmx2lGX5sGMaS4PKEBycEe36CPQdcn2OYkL7Rw/tG2WNNnSqKAW1MVyLQDhRA7BM8ChybHzsqXMNlmoUqg2EzVnhvxIHZGPccUM7otRJQkzyjmVMUL34HXP58vfX9Mf1/c/8cd/87mj/R/uCOeFNk0nScENGjEgIl+Xyx3X1x/T3bLItYp8JDgD4vRTHmFuFqHWzJaXHWzOnICXV5uvFOYIK0xycj9yQz86H42rn8U6+LgxRiv6y6Q0hsKfiZ4474Apkz7hBblKew9qn2yD5SxeWJedkCi/yCH5InKYThymBKrarPZ+ADEV590re/Woy48ZCDFO46kc21AzTUwAOjI4mdgCLY7JmmMCUFnyQLRGvj3zsJGLfrn9leO9yJIkWz2E9+/TQCihGjpH11UsHs0VLbJ47VGCx9a5b04wWgbm3nMocsfdx3bOX/GzCrwXx1ZpK2aRxwd5SSLj8IMCa+5XsXwVqBzdRTbm9hTuOe/xHX7NXKzkSa2ABrVmeY9REWpXidVV7Kszm9im4NHxlNu3stGORmP6yv2mhEwn4VSEFZCfxUm2KdeNm9ckI0+tXHS/bhLsNa4vKZALAyVFo7OXXL6xhSRIfo3GO7Ssz4DY0IWqJ0YuwD13KFgmWchLCrGu9dDTVFVngWOyXkloYlmvWJvtgkbVjWeTOIgGYpGsqEc2OPZvTWoB4XYrAtYXGpGGgkZVAvH2qMfqHQiv7Ty3YkZI43kvd7kEeWGZ/nh+Am1eQbfKPujG7B+9B9uamyojw7kYJyL2aU5Eiy9+mV2erxJWZcBpJc0iThRE3Y7RNJEQyADuQjTzG/u0fMu+FCEfmKcwp9ei4liXI6qG5KhonaS05SEIi5pM2gzMwEBUegk3EilchFfo9Uzz5uZE4fkR6UUdV8hvFAuxbKVLSFLONzz/YkVVsmQUyQWqIoKq5+6LC140yaEv47Cu/CCFMnnZw65N/aabJWW5bmO+GHCmKSZkl8TU0Bto166Qjx+hltUHiRGvVfvE84dFQv+wPNYE0I5oTJk3EPGbkBrWTdJyAWGfbLBTs/gYAlZgho00cHirjZNyPvG15lqx/i59ECrID+8W2ZEd3zQf9cdJ/o65iUNesTKD2uQBNryFwtuYFpxOVQnjzd7RTAAssUBeuIdM0A9lX5pkeovChgenGH3xMUVOxeedH7CzhG+eEgCrnEQC+MSDEomavlwyE6ssH3PSdmN4lToLHMLehNbZPHLvAepHbBYN7RrOhg8oEnlCetejME1fc/4IhD6EqlI2WJsUUFFYTHV7AAMH5615n7mBpYKyx3N1Ng+IbuxwjofLzjHFx1P2jPhBnLBplhrtP7UCqJ3wc2sE0alIq7LFR+LvgOJUffFpJOjeg0J4jjW6Qk3GEpEbqhYywVfDWYCHaN4yruwPjEjpuV6BTMJ2uppAB03Qy/zlg7/9Vt8+fL1ahO9TU+/jM4JdnEki+Y55TjcgWqUEEk24uHFMXlkDNznLpFmiX5ZNDTQxuGvf6BdHyZwuTURtsRwhBJkOTKDAVgm+InZh56o3ruwaNniRw4eGFdExVh8UQhRSSLw1PdJs0BEifaynC3CIk3RYEoVSobLcOwJuampZxF4nSyOpnmPWuHnJQllv6psJVPdmgavmihpPBJUKjfKhmc4KZ3oRNXedc+Z19TW//Pbx199mfsx9XOqhn/t230US3tGMfBb9h8FWX+u6yP4PlWqX/kjv1mKi2lhvLA+b4psFzdEsScnIgAv3JFra3T4eb6LHEKUKUsgxOyDuhruYyDlcJ4rBZx57jFe9paWLSW5OE8BGGlqfA3BPcWygbOR3ZWnyDx3WxYTiA60uo67cKZCBR+fnoMccszxcesmhdAdPPoAQvf+JNTKHpk+zR6G3wS/0Qis9lYyKDWB82kPfOXErYZP50iOuoUo6IbANUn2kiLICjR+5uT3ENuJwEaovyL72RvB6Svcr77+ll7WUuPfH29Etj1zERBVeF6Q2iAL7niR7bgIgELJZsvh+iexOfKvMqv4o4/i2zszIo/FbNzDQWbmK1x0R0HoByOLeAHy9Fh7YKYya5NKp5dnwoDOTrynQYiPfXYq+o20PuPkgVHlPkuwUkYjXB1iNdIgkfva5Q8PsL4RbADMyuXYuK+7LXADYvGyHJ7DJLtbmg6TholBsi1WPkAV/7PIRGhm2Xb3SDQtkp6EYdufEyDq37+UCM1pHsb8gISxKi1V6BQTOJbEqG+3D7aUQHh+Dn51gBQd7LCzLndfjgRnx6OQrBQNp+iA2ZLAqWv8NQU2NWlAGf1Frel40L4pR2UAK+79GiJWf0jajYiRqKWZnkV0372QVZbEq5i0sGBHRpLRku2OzXJQeTl0Upsnl6ivYGbEl2sh5AeRkRGSUTcfFGI0QbWOskrUdDYkCCIVCw4hTi4h0ptY6lcMokTJZ0aNl3eHeWL0eCBYmFeuZG7iK6V5ck+QGJNBx1rt21473d3UBWceWA4RdojJ7ZEfanjB3CXHWv6624YymEKqu4L45foiNKGSn7gANjQstQFj1IkujjWMIJrgBRJMXrDbfVE/+UcBU5s2w0exYMBQ1TW6+qifAMxSC7N249qF1uhuyRebtzROGAtOVVSgmMROGHoA+gow9LrJmo3be+wq+h51AmhwjS2stEvlVsBg+OuqQkA5tyAxnH3w7gf6g0pqboS1/rfjcwcAMIk2iHrjTcO/W4lE8xhUjMr3ki4shxglTOPsWAXhyA3LrPGozQAngyruLvB5PunyekcJ6IRSk/RlyszICbCbwiitMwJEzPoEYLo/5HDk5CfOAsXAVqWvNNik46it4R0JKDsg6b8zPM7d9J2Xri3WLC2uhry+cYW8B5CXBs3JypQ97oC5PgSkzfMeyRxFP4ZFS+qmPiCMwo7vGnY80YO0q8vavxXOMLALAyeGSPyxKvyBtWOYBD2ObS6OwDoFFYPx8eiuy+Jvf8QmGgE6xUN/xy6/XL79erxdpHOtS3+fzvi0jNgqb96VyfuNNYcpvEGkHg2ip5lEmBLioyE5tDQ/Qo/cRpqDpDJMkPtVPAIieCyWvW4O3hPLFNu1Dt9uVgvA19AtjW64XdtRauDV9E06HkUFWeYbAIWgkKlRGFfvYLI/HqMFRQYeC9ttcD5ZLunyhfZGI4KPf8T77UCwqwqbVgeeED2lvpBnboHuQBNqHveGK2rzNkF4l8hi66Q/jVddv1+uX5nVeUZ3YdM+kFCYUfs6/LeFJBZd782SVfxJ7xmdEoSObyYjx0JRfeRuli0HDnjHBg6m+LCRqg6zUzTq9GkkoM2gPDeZvv+Qhy4+qBkkVNb3/dYAJ58jWH1AFZYpp9Xtoy2huI5AI0185L71VbdlaoqcOP3RHhhtzXNE6XZc4KDSKU1pUTwy9l/doC1h4K2FlQuT8QY8QaUQGaK4rPWWQKeBhcrIdtCNgmA3Ingg+Adxel2vOEWUkZkJQAk8qRABGgGqkV44xF+H2cwPkCotyMptUPcK/vMCsRZCCPeXJI5ndK+fbJkG3Gz3apKeA2g8gizNVDYYKACEcQi+goFLrdcCr2K+G65yhODMaSWkrukeZIDVxmUoG3V8Z4xTUVdUw1Gj6FC9MzDGr05iDiVQ9xUi29YjWPR4CA/ip6cn3kNjC6CCW68jkXMtcB3ndczxw687YG6uxRGrtHZZj9cnuYz5QwShLHWtrFV3dpiLifd5WFjq9H7ArWv4qy62X+sCADwIfs7AVMal6+vqLjYdV2LE8r0nY+/gYAgwhFnh8rdRXYroSPEFHaBKRT/jbJ6nOSpICXNviVoveYO8vxvVFVFwFRQp0TWETQRcX3fMHFkv7SGUHWvIVq7EolpTZ4SoGIwV2Hv7a3v8YxyvLuetLf5zNg0mBYWY6bsrZhqaIyBneMbIs4RUklubkYCoi3R8ZdpKHAwAcottwcSVKySAlHpdI/p++5AKayUytPF8dK1w+SMFP8NwkxvX5dUGsniCkRoE50hiG4EJtO1h+RTdQwuH1Fbq/yDX+EL1kxPSyNaCc3MiMEYlYnM1m2zZsLrBOLXA/606owrRKdJrgbVcX/M40Mg5GpIchgjv9m0nxwza3Z0TU0miw4xqtTV7e99I5wbyILCy4fP2NsIqRS3hTPACtQdQRGzoFuoBFdFDUBdOSIrGGKCbmxyTTJFh+wkDjKffeZjIJ5qZMSCcqm2UQX9nVD9267AESTc0HO1/hn2oXoPJT3h2z6YZ57jtPEjn8SdDe5J9kw6RAJ/9biCIQHsRukq0rGpi91bFjUAVIYMf/FNl0jrfASl84VG66PJnM/J6MtBWjMO54MtBg66lJoO2kyWb24naK0oBToBAWKwX2LHqShp8YYngBmMURUNHum5v8jZrbep9z2/cqlSTHO1XY8uTAXPtp1oLki59z3+HoMGV0LrsoyDK/P+BIEdzJKJNdWJlUDDIhz/HpVrVWZJoNm1wjmJ+O8kXtlhF2xBa7fGBtW8KDOsLrI2aysuLogxmSotY+ZGyYwPoRcuIqRNn56Pr+7eOXX1/XxeS91XBmzkkcQQCROe5owWK2PV41mQMqGW5K9mspu4W2SuL1qhyEiTnvNj3sZHjeAERdUw0fElVUl47VqBqgTseQBoaNVDtypjhRTH8F0x9FoLwUVfgpPJJAF8+A+2gdDdSr8DqWOrFBNj7fJnSJRyu1UsCmKtGexDCZ5apLCa9tHOFq3sb6UNy4qgIDolx62qyKGEmcItsNUDiaOFQjO5xjEGzSM77nfru6Wd/q9fvr+jbvSSesgUYbW3exD/t+MhVFW8NTLC0usSwBvpYP8nGk5EoNtTcBxmkfqdm1EVLeGSHqq01SyZdQ8ZyAT734Fpqiyj7wtUcVdlgvJGU3adV5r7AM6VgxHZMVX9Ee+2ayfCLaic0vaN4TWRg6N8o4+cBpDpZ3Ahm4MKOc0/Gd5imgS2M8OTn7K8XkpjiYYCSnzbPxyhoe6dqu60R5GBEm+hzoQtFb8LLRfIQDXhFV4tkelezuC1JXdMOKdxgcAsVREQe85Pa42tt2W9JptMAr+svU/GSiKSqeX/ABf/fIehBhJlcOoRiIrRpkmlJDgfQ6AtAsK6l7tMVxta3DKjAoll/ki+JI6th8VR56UpHpkbHvMexGqrLDneYUL6xMBQY4mIhvUcl4Gw9onoXu9FRWJj7A+20T0hcsPgtqLzbSioFuNVfxqkGxWRTSbqvBjqORij3lU5FOVxUYiDAgtjuJho4IaGdTFu3p6io16DaQCMKowIwKyDMbx1Eq11AFaq1twWzMQLU2q7kS4NxZEURsv2a6DiBPvnSWyUImLuRzWecAFnxKK8f4/GFr+GPXqfU2rIh5NvvP3nXKWDrOKxHNWhLfa3G510CxeYnxcB+FvUy8on7t2r4UAY/cnUhj7FZjhSQIpWC7IpjHqqUTfnVqIeAStTr5qkrHmSOyp1zWbKVSMoldaPFZcSKEwuYgRg6VcbHQO9Po0RAJYyXJHEvJYsu3grrSI3fe21bmmyw0hlehsJ/ZY0iUi72HXQFdnVd5Bzvr8baHyWgw7ubHbm4lyaeekC/r8T9E2eXNciqmuiUvfwHGVdADQdayFH80tNH1SPeJdmUNYxAuwsJljjwVAXG/4DsDV/hNrkO3Ruri03ZHEyMU6xl/VwCUDSTY/7pTM2+vf9mZwnYxQYzXe2s4SyNrf18EqBwplreYw+jBHgr7OCWSH50BmsUidQJ6Z5vi5L+aGS3ffS7ZkBk7wzESWeT85S43vUBxGIznZQ3y6OSWR90QPXVufUdYhVWAYCn1vW8fiDgnnQWY9mSjzP4xAgEk50auqmUDkRDBs3ImPMedYUxAiORSFZ94X0dCNlZxjyMjdsc8ownqW9rBydtQ4KOIEvPpJA1HspM1QByBic0YsNmqzX9rtC4W4hHHYi5onGPeo/fMe3SbLhozOfDXf+0NASOxBGAWYuy3yCePCg+mrvUSPXdzFBaZ57L+FPAUIVumhSwrYG/0Y5CrolkO3li7wFtDemM6A8HCm7z5LP+rCsl/JWKClbc/TkXIEqqDJoFJo+N2vG7Uyd64DNfoIs71gd9/q+/f0ATjrhzdb59BnIO0jyObgY26OIQ4pew7xFXGWMyUacx1daSEVl+X5BTPWsI5LLlCHCpGIRyprHumIPJV1wyoun2VW4mKnYrjh5vblf+kPIOrLLGftdKP6ykK+Lrg1VI8PxRot0CM58BDiTw6b0iDgSLLfuwY8cnT9uW27m9W1pgiSug049mrXaZTDFs4oysqP0/mkS6kAIwXx17/VaBXCEc4RbjQMtbJamB4PjEf6Obrt6t+bf68a9zcbOsn7wlM+0tOJjdXwUA16IkEOqEZIaCHLPneEwZLLgJQOVyFV/wjoiawB1f9E1WzL4/4ov2Uce65mXYTUbwZ4p+We1Pf6B3cVu5UmxbwsGGB79y52HP/RlSaChcBVzAdbVZHbRmVSjzIXkp03mWiBHWml+f1yjJSetYOaXloGd0GeGRYvefVtUCdgN451miwZLcyPmXu3tzrbXbJvqXFQYWzgqMvcCcMI0B3SuRdnaP5MDGa2rsPq+KJg4d6Bjg7V17BV37dXEHLpK00JZxy4IlKyDpqRfD7M345HlI+wB3U0H7K2xGmI5D6ZFSQZuWdMMlWXSPBbog69MzMyJrBs7KEOM8YbazwOjN29qeWde1NGoCH0VV5ci5hxcdcSSE0gDVZ5pTLK2BEtNdrP4s+PcUQT9dckMgmrj1zVxyUz2yPv73Jc+bTHattYiNXIoSkAnFJ73x4pNkohixe/Ci55AgpkJHyCvNXGFWeZadEcMHppIcWBmjhPG/aPNqmSqppJNGojc+OBuoP9Wk9TuavPhovkIdIyp1CCFRirULJwhVhq91Jos+jgQRi1qrXkzi099X+SXtDoeI4C9SL3FyKznW1LA8Cp3I9nHB6R/JX5ROWqwy340wSl53JgjBDV6KBgt9w8wkqyEAufi8RKph18fn6knacY1BOQieNqRAjZkKmsNtM/sINXIx0CEE0tb57bCQeI//Ln5jVg35m1S9lKWt59Vow5hEhj5nQHhqVcKmdm7KNxCIZpnvpm/wX+YCVWtq/9sFcATT3n1xuaVcrYNESmMvy89k/abIqnwOTKbEBxA8C0yRIXW6RhspHagAaNSVr01CWgzB4NUxgviQRcTDtYpMfNPYJcMWgZDBYDR6ET9mtC3wA52i7Vo1AVnGexmbB7AxMssJp5BkKEwCGZNrvMZ9GlmuxE3YkQMnFwh7lewryIaiwT3R8oYnkiXTSQcnXNA5vgV70ZgTq4uNiN8GLlTjjuuhx7vL2teY/yIqZNuE0XD5UXLnsF4S+OpwsrltwdQLomeDsIuCVcROP8lOPjUk0cVuXtyrbM/L6Y5P/CUthVfy1cPbg1CBTGBfo2dUMtbRdCWctCLuEGkZvLnBVXc2oKg10tjhu6YpuULKs8YzS4l2TS1dZlIJhPFxTuJz9q7y7PJc/xO5E9dDHZaqUxqN07YXO2uU0jvmVlBb5zOZh6BWe08wKsawQd7GPzsjQRBTDQdCQoM+7/Ea/s1DLQwmC8iZ+BWJ4MqNniUPuF1lhOVjrKeJ96lXfvvev31+FQ5dMS++3NOPD1CHGqd32LZmJqt13kav7ZOVvzyn12DYvFuhkcnuSk+k6Mo0zVFHVAnj1iMVvp8W2zEHT05SF6Q7WILOhE/rAOBVk96Mo43oeU011zVjR1sHSna4ddPFMUGXYCQWHYB6fW3pbN0fm6Sp5dKAr7gFWblSfcGyWjm/WC0tElP2qo3ldOIHBnqheG36xozYsJ1iRG71BP4JQFWQdkNCtrtmbNTTiUZ977ne9XvXxy/Xtl+tH43KdG1UnLE+Oxc0PEUglUCvPzUNeJSA0mTsdeidM285/S04mWy+gRcCRvRbDMlxPHr4pYIpUxkVDMnsFfLkfRTcagq94yYn4nUISyrqYBxOeEIFYnefyq2uVz5B1gVbnja9VmIZN7QsHETTURRxt98kTrleGtbFuLhUuQzx6A1eCtOiCTqwEMqgDAc2RrJxankEV68RpXMnoeRGajNTg440PtqNVC8El3xselqI6p3G60oGyV8v++nG2uK604ynmkiLuMqUDXghCkDUabNS0gbpCPjhwupCfJG31frjwHE8rZniIUKKf5JP4RrDwOFcXtQxRGISgt5Q6n7me0WTG/cHr6rrHPMFzhzTd8hnQd7wv3iuRuRyzuQO82KFKMRXiqJT9GLCtQ4ILtqqP37lw8nI7woG9N52PfOdxZMUUNiCkNqkcqi3+oYBKcvWubsyAnim84A032FsxCNDakVge3IyNPRNWP48oG2tk2Bkjkp+9dcp9pCpIrEEXDtMLoGa0LYTQlTEfKJwBWQMk0UQOoRHJkPNKP9pUAVjv9qLzMFjjKg36MaGC3UqmEFvI+kiSmOOunTHsSZjHszjs/OlnO+pnJAkxF3fmRPPDTQ8OZVjmPGKUSX4BAlj2s0twEwA6eWeVegPR18Y51wX0yVTrpM1PbkfCDHzNxUIXfAXNAm8dugpnccZMYgxtyFAFqLo9Vd6awVI+26QYrXgj3pwAfYsi82nLSC7p6huAWeDcIWMKtQn+lbmrn5y/zG0pa2fbyoUXyQRAL3WalSOq0a7EPDK5aI+5wjvQiqjI7L13BDd4fPFzIx0VkZnXLp1MdjsAdMFsPyxdHEeLrGaC7WLRqsp1S5Zb1S3AozCdNNs6GBB22UdGpO42y+iii+qHh2JE8gFHWyEoswxk4lLi7qE6hVpKLHWw+1LkApikIhowq2T7RGdVqNhsVy9XkXI08w8G7SR5mKex/CDrtTbqRcsz3Sd6OhL1qGtE9755667Lh7i/nKvWU1OMyDHKslUD7bqapjwMKnLAR9np5b1yV7seTvTBtGXgORpCze2hz+OV4jO79xGv2jeFBBwkpV2zbJZCZCTUO1deQLwrRnu6FzqJ5gDKnCCEnQKY25x/OwJlDLEwLvZ4VmsQhLQt1qvb1WnhEckIhGi+zNE4upsbc2rmCB2NoQuVjOmFHbOu7edXSdxieYniZ08+9AUrvwaxSiVUvkUC7s2JSs7cQ7tkHamNlNtZJ/CQ8gfsu7MmkpgM4ruHWdvdES3Veo75gHcY0PIFnAx8+9KSBZlXov5m00vCPeaZSLgerqgZGxL6ar6u88uvXb8dmJ7XnPP59vtkUwAbxwCm2Ac7Y6z4BUZDJhvyXWog6Uvm1QsGoVXTKJlpBO+RVR8Dji/gFfaPvj4M+qP6r8Ln6K8/BPCC/YEWzu+uhq/NWS9cvuNHNxHQfWMLqOgbijJfxWH1lVjnpsZ+NT6ndGxFfswDsPQ+9A/quOTL8zpXQa9cSOE6i0rGrXx5rEssvj01+MidM4XW2BfRCGUFeF64BqcmYV+bPLX88CI32YbvqRpLNI6qOAh+Xt2cud/N+3xcr3r5+qbrRb27Lc1Bz+WaCog0nFJju42i3HXuJHBDd4lIORy1Vt7ARTwiDk/MIWpg12PUR+dkYlgrXMqcfgCeYj0yCngR40NeVc39lfOXKgsu/wBAHf1xDr8Il0qKB01L5bq8Qn3qYo+bLYk0PlBDYsaFKlS6ThPyQAI6Rqf252FKTunJJi8XPM1muAI+HYoCq9o4CelePVOaTsuQ2VdR0iZJPDjmomWkPanD0ByCyiQgl0tWPB4ZTh4B0tCXkwC4uH3UwuKoFCFiC74ID57UH5J18ZF0QVel/KFSAROlZ7YbWr3nApjyc0cRnZAcbJITjBLYmgXVDHgWOcepdEoDGVY0Tv1z769fXZbPrYQ+QUPzsUiPV7KPh1xAAkSQWC8w+oulw91xulncLLtVPMw40aHr3YnpMgFXqnVYJnWhSG1bSrQVcTQQtUKzAnZGQL753swSFtuI5uUBnIvKrMeneaSCnq3CJKkID2T4jGMgm+02Huq5nBIn2rjQanX+vKzIfYFE40Le08oEdGRe5KAakWtm5pBZVxtSoXd9DogEPdI80w//wORSY+cuhiVaaXjUPQWExMMqfJ6EKrIynO9UrdXQrhHFjKmf5NRD++fN/FtuZcmU8HbgHwbdvbWN2Z4CuboMKJm92TGg8QtAfuNYGxWCc2ewMqYiDQQ2N49NzNgF3yv6WFFUXIxyc6IwkGBcpLyRGcvkg4R2/2X8Idsc4bgiw1NZjxUn4sSFU6osMBlnkKl96JcPTUp73LiZKSECxViVklAxCzEPVjyFxN9NStaEB/+t/fzyLWymQiVqgEt0ZYuLaaNjacUOs5kBS2zCddUOKWNfdIHTJFMkW6avMhusJP9xZ2OLVVP2rSoWfeurQjhsDJA0F2Nf9JK1qyALTJ08sWLa7I7gk4uz6PtDJuVRNYuoxsZLJ8NXmbMqy1XtO73eFz23A8qrpd4BVIF9l95bdfaA/SAMbiIIGACfZ1YzL+T6rU7H4gp0QtE6zv9kBSGNYUxqVL56SOYVuqJJcjxke2J9CyZMp/EEBsPFwbE859pfIN+MsWdrsRCeKpR0hCeOWPfJq+VyO3Ai5BJjqojNubuJS8hnnacgg2oef+Z8fZgcqh5XArFpbAndzHnC5HoE8lPn34qmtopEdzmBd15jeFmHfOVDLXBGEABqBokZNhQJ6X4SxMCIMkJc6rSDGCG7Nb7W9UeOF+v7fgLx9OS1ipACUEI8yoiR69FKmrBx0ZNFWghVFEYrk034h+Xsxsw2icUDcuTkOwmQmwK3tA8JKG8KnUVaA1Rafw0Al3M245KEDi+Ibo+7Wkb7l19fv/72cVVxcDzzHpwTaxSIk/AuNuSKT/Ahdx1rBwFZTV5YgB/P+FOchEDPQSSut3gIzWWw9OHzYn/vurrqQtVl+NvM+/3Bf/78pO45czp0u6uOwnqt1uwcVwNW2+YrKonoWNqqq6gJ4H113keirUNpKMhj1fsNC+cTfIs/3YNo9qnPi3w1CfFim6DuSkE4+uYUZd5Wmiavhplq2gLsEatGYoN30rAUVNkN5XTqqsEQKPTNt0QLa6Xfckvl37DGfEv4xP3h71Ufv31cv+rn5+m7RqlyZikxENckGstroGWEakKC+khPh3SCMAi+5+dIK15aOnoVFzCJZs7SnZuwHmFYQKrZOtahUHJpmQxDFqCYzMuCcAypHlSCJxiNdCIKqBSmkjGbmA1rg01WPWmAULuquBKXM+zKGc1qXOrpWALr+OqlOtSD+QpI1EXOwEmVtkRT280yDFpzR9b6rB7Pkz0yX6s7L+7Hioq4pGC5iZto1Nxo5mbO1QFzQpoXO5WdqAsyqvfjFliL1lGgLDkep82tSeGH/OXIJKoR4Kuu2pWPy5NT5aLKlf7JL6g2cJSHJ7CdAclNz6M1XRLG4H7U3jQjAIIuqjjQ/mqGUF1l8IjxCdsYO38UiEJm1qX1M3rnkhkjoXSgBTbz0NlDGabaCHE3WixfBshtuHl2r/G6czPEc1ld7fhpI7/WV5TdWkszfYppObDd2VIi3FCJ5oDElCvRCLPfKP5GWMInG5WV2EhzwznymHPNKPXofp4kBO+XsmkbT6tXyEzGt2i8qhR5XF24BbCTCPlCxh3SZy/5Feyb2AC6nQCWLc0z/jcIMmCoIjGbPEq1BEdMvcDTTRfJ5Y5vvTnjeKZKMeq75zvIgFVqlqWuVfwsjhtv67P4IDAP895lKlGp2bTVnSXNySkbV/jKwKfJiUlMTosTSNbOWE5as81BxiOek1AcH9YFs+YZm13AUbhnkxVUIIAdnVx7mAfopE27q87xmjBX3x5lwT6E3NAFYTWHEHgl8ilgZqEeao77PxcdwSjFA9GLSQC1IfTN6GAepbKB4OBhTfd7Yr5GK5gc6UVfyVibAVNxaMZnPqxOmm2V1zfb9eJVpZw4xhqYqhnZdjPKNQXhERgwJiufwKbdCFrGNmWN8UhumpR2lCxbB/tah9LKC+IyJttC5jrBkHu9uN4j5VmGA8R6KikIKz9K4ngimLJWYtMAKkNNBBsVLsDeBPM9KEk8xV89OoUqYFIm5mfMU55OrqshG2DIsjX+C+jK2w2AEspFjOva9YzueokHZoL6Ega/Vb7WltsHYIs/eYwOBkcP8OB8Tqq3gYXfnX4GZPzN0MisEYh054ExRXbZ50KpCLafl+dLmPKE5IVOAjJiGFz0KZSGvhQyj8SoUtLD9UZ4Tz2hKF+oIYuvhpvRrhSfbDFuMo6DpJpnrPfWvz5Tc26qiMHtWABl84ql27OuDnsc4/7+atwTIhfvRng6Jj6sYS2If+eMAAR1SJw/DpjRA4HsdLfY/BMRxifgh7hQ5kMYPvF0FT1JHiprrytMyMIsEFytYQMJJeGi4lhyn48GTsWZ2oH0l4/rl2+vF6vHY/nWGc8BsZ4FAJ42pStIF3dJzLdET9Wl6mvg/EvVFcBmSYRDwHUM4hJ4bqJedtf1S+vvPvD7R398+/j4hi7/+uv72/fv/8v/iv/hf6z/9p5PXD9U7zmYgszvJUm3XjkWs+0yuOvBXfVKf8hyXiv7WV9NCktMscFzQBTehdsm6tPzkzzq+figeOaX5q8vXX19NKt5WW/5DXxeA5RPSeeT1yWoSprT8g18R2x7blolr9dPJaB80s9NgyVstZCgNK15ot6LLywRX8pKYw4P9LrfPufNj9f37/3tg3phDuqu1DOPqzgrHA18Hc2K/kheGKthHJvp8FnsrXCJpOUTnfyD7WX097hUC3PWF7QTmgHKNBtnxhKR2DMg7XbqHP/7amHxODq5JLaKXe4I9JCGiN6DxKKbnSuwG3L15tFldGDr6Qh8ploKRdZ1wZzmJU3TNZ0dbQBgCrdVi47Y5phsYQYOiqU1jWQbIXaKMYrFpoXLl3FXJfq2+xUN3y6IVQSaxnBm+gW86365jhwaIT1xncyP6Jmys3ERABXVKd1aHcPx1VVEeTI9X9UvuFNgLoTzWu7eMWzwmQEWgQle9BBRtfT+MyXo7PG8p+0k02YVD7tkjcGqZMJHJTzFxY59ZH5kcs0dHaiJpjFevzOBM3NVWdsYWru6rOQGjMYp/D08OliPdWnrIFfw8yTKQQUPkQXUEenuJ4AdIhCEbx0hQrHDB5SQoRQsTkXZS2j8wPZ4FL6P5Ho/tzwfcS0uWwWtYgXEK+6qqn1DXqYLUqVTR8AFTBY/y+iKKiifWmthemcccZKpyoV6ug4DV2WRSb5+wHVE19PcpXpmsPsFy9H0NimpN3UsoHMufC5ayCsXlO1ef3/miFVMbFl2fubNiolQNgdMSJQdfVLGsBL//WOi3d+9ISGMkQmruDrYzNSptlsdAeHU4eVvq9h+CYJ0qUYrAw0aWjt/eXJGiIH0InQpEJ4dWJlo+XzT0ddm28mrwiDAD+tDeb3R216fzy+/a4x4C/vvZb0qRKwbJU7KROdEhR6i7QmMdFWVecoMJL2qWz/YCgiwlmTnRRzvFqAF9yvxuMExTk0FxCWz8sL1ymwR9yqTDo2+wEWj83V2dYV9iRqkKgyZrmgBihdJoYZzocO6DxvmoHbGCrpt6VWYgLwtqFb0sFSaB2glCaHIYdVu84Q9XRWr1PPsFCA9Qrb4zep5ihBTJJ7/nytD4+OE30HbG4+ceZ39/CwwXMnFCcHAeO9ySnlSxemqhGSsUedi8p1Vj0OdBALHhd4tuLISJPs9/6c4ZEG1Pu24c2OriGwQcmJdF1EjAbWlPdjjxZid16JWVLHFaRYnp2dOr3CwEcDFipJ3a7AsrwGw23hkSNBC2Ym5DUpHh0/BsoFh/ypvoDSrN/sDf3l4Q0aCli3JLJYjS4qQkfzgxaqrdxdOa8jDbwrxOBYOz8gTsWe+6CjrFockrOPcNgGPghzmp7WBhPQkgxTANgUaarc4EXRmaq+lCLI8bzA0sNGVmZLzqUQExfxzu2DJDRygnALgfMzlmkWZnHSrsEYPVocHJYnTsR4kvnr3tTUCxLIAP5d8mHSPcaWqitUm+O3F79/18Z1OMIdwH5wDHE4bPu6yS+10puBaRCl/GS+GNVXZqE4BE4ncEjRQ9BExqAI4HPtD7Hr94ve3y3//0X/3C//0rb/9jt+/88+/1//uf/+//f1Pv/5P/98f3+7/+f/5X/1ffnDeY1y673MVNGx2dQpm4wODPERFbT0wxPQFETCqOJlbR0Qf2IsQ+Pjxm/2UfsKfqtMfg5f1a/vvP/z3v1zfPvDxrarc5TP913t+/vQPSFe/B7znLb5L1znn4+q+5ucpX/NCG77Aika5e5NUSrevF4gSRQt+eTdKWRgTVcLgMX5VlXWAOgbb58bne7698PHL94/f6/1PVYt8VSHlCV04afLFrCrSxeAPyd+azTRdds624+TgyjF8jG5Ei7eDhMhX4Nbq1ayph25w9gyCcxd31N6r311MRjSKlznlnHbr91HIbcUOQ9AN0ixv9xRRlzpGvMOLCxI/3Fh+p+AVmKzpvRPfovYXGizKxR7OyzpX3m5DUBQ33MuyxwI7ugfgoLo2b5NyuQ6nYm4R6BeLxLcrO0pZqm4avshhA5Ck7tKdu+Lla/BZl97iZdyMfj/82o6zwSyUuA7gNs//j6l/W5LkSJIEUWYRNfOIyEwAdenqnt2z87T//02H6BDt0tDMdHfhkhnhpiJ8Hlgs0PVQBKoCEhHuZqoifO1WL5EVEnLbBp3WnpClWH3XApB7zdkjMEcE+olafapABytEoKU0nIbxPcJ4Ou3J5u1mcTVVMdWXu+6ag+z7HmEIZCFZ2GJcjbSUFgo6151waQR1Kdet2HHp1LDfrpSlYbnBM5tsbHPws9FDkncZdAa6h5kElWJN8L7JH7UlL12IRdKmEzuo1Oo0pzy0OlocYRzuK9hmj6YIphPEnQQ55y0AZgidbTTYYqA2WJaLCK57hWAg0h5sBrW7NG3AObF7PSUFICKDKEO/dPiGxwQhFnaNYCzsmSTRbG8XBoRzwiYwDCkHqZuLtxtO9fK84QLUoAMVhtMqZxcVG0AKXZ+ycdAhXwB9tLRHbYRxWcPetJpZbH865upJAb0VB6tLneHO3BD9BJB2cPtTRhAdCcL3rYE50KJCOUlSaDpCBbcWwdyrbc0jw21wOdOO0r4pfT9r6r6pxqLWuJs5igDcWYOz07i7R8BtYxQJ5uwMRuxxr7WjfEsL8IoJO/YQnCrUeUdnJLU2ucWbq7qdUBhsM0gNwjPzLqo1YRxZ3AaQ7HHVJ2kz/JmfsJk6ZdZtUCGnLM864/LfSA/3tLIsnKccC60kiUVqLffi+HOUqFiqS1zhTh7jsapmwkiY/KU5fojdbfHQqOwMosrH5GwOaMgJsd7RLEfVzUB9QqIe7UnIymVv97gDUxUdDn8iu/xbgZjqg1Eo2TPrDZSO/FKLUn7G7TIAUkWp0ci0J0H24rrS+l4WR02reUFwW95mRiSazcpYxH/B0gRNO6YaTk8ydDNdy5DaGvpZL2qehuZwPWHmjX4+bx5f0aOidoDleAluthXh6LBk78LQJ9AdoQRbC0ZwTr//SdONkj/cxshcZ/ZlO+snHEtjJjJoqRhTQhWRfeTyCZGIOE0+L3AzvLL3qJUdCtcObynY9otReIet9pjspwjczgsj7H7h9Kko8y2hviM3utuinYviZGVDwqilYMkfeLNsvrmjaVOyhfw9kwYZpfI7fUeqxhDFaHBjfAr+1O7qr74jvvEZjc+JJ4fVVULA9Q1jBembBjPlp5BaHC6Sk4ulx1qvRxxnBtWtfqo/IrY2dkHEdJL6l7AisAmXNShgYSE8ebbLOlEAFofw0RYyyqN7oxTdqX5AXxZ+PtdfX/TLt/zyery94Zc3/ff/66d/+29/fX1df3t7+ff/9z/+84+PfR3P733tZ0dkqa9Qoq1GD6RjahdXRPcTyGCOT1WgloXCZPWciDc4fDWEeKqehYv6KL4zSmv3AX1Z+5dH/uvPj7/+jC+vPF7OFZX5lOKqt3/+0K+/ff/nO95/4GD/+qEviKeyn1DsFZAucHWoGkymXV490ttkXi42Bm2QgFIF270CqG43F0SXsDCCQwKobiie73Wdjzj1eFkfr7We+rBaw0c/6MqVuUOl+2IiWM0A27YMNrrJ5RfC4Gx0y8k/zqRQUdPqRXjtDbQuYgEKJNIzHyxHKNdJrhCUgeGZ0miKg3CNBRskN7gkS0pjlYnR9BphRVAETBz6JUiJ5PZUymRvVDJNkCWdrephv5Fi3SvNgLTa9maxCjRaCLfFW4JPsWAZrrMM40AXGG3JsgSeWBSxV65IEBFrCZsjnVan0jhuGPIiEbuV1yK6AqyOzWDgUtPOo2ChSjA7BMoZMKB24Rp0WLefNMppzWkhbgQP469h1BmLzFbHpOTK5y7TSw4Gh7A0RBskKidbP0Ldhfsrh7xCjnqHLMElYUKwy/17yLpBtXSIXkQFUpQqs9kpbrPeZi/LobXWTDKBCnMEGEG4eVP6cIWwHWTh+2nkI96k/QuqrV+f5I+GPbmjPLphPGP7Laatk6NKI1BkDjslImdP4k3wmkaLEQEnodpOrXIY06iM57y1dbcE+ivgAZArOIF9c9k3aCsfFkLHzXUIvP/BjsHqVYwbLe4yLA+igFxx5z9hQqMhrrDOwV0oski9JyHNQgPC9ZxDnUhdTLd0YHZxhOe4mRfpWlN4OarwfR4947EUSIaz4iKi4IdCjLlru+fKwn0Lj9BaXWTOQUdQE2kU45e2hMqEBm8UVkhhc/AIthzElSPP8Zxv0BA9uGfL4i0K3ZPeOfeCbooSAiNyZDyoRoZZZd4fvEvuRk3iCVDAHNXWTsgD65Ahs0TDQsaZEyJJV6MYUrPg0km6E65s8me0QpNzJQB3vVargHQqynRSC+6nEKMGMh26L2Zu4g1Eu89JvMXzhinLWVj+xM3tMpQhCOEG1kwFFsCBr73R9soV5CIbjVzteNwdhIgOHGJFtxixcmLVo1kze1bIiAsGUr1fY1nRmrZV3tYVYO6sSCe8941VAND8YFJ1BQKMuJULMfCky80okwWYGgWaPo6hw9JqVTkGpQUhpsBi9FZzKHjyiPvYsleWvNX590o3wjvvWYgeDKu833kbCI1V1OSdQJPFDDLqtpKxol2m1WBm5KSaMBKjyjSX6k2V7XFo9jvfvfOQcfjhP5HmhujuRzU6LbNzWN3QyZxLeQ5qme6yIqf9GI9wTvON+DmYXNdPUOrWPWJwDEZgzkqSjEwlo0Pgdsakg+OckCAdUEGonn9RF6rldcw/bAsW+I7z+V4KHMg0hATc59G86QgTXIbloIiAbca4I0noXXDijectNTVsYQ98ot9QNIAxZ2mkiqJDIXTzdPTO2eqQK27nOJy0nwlXl/+NPUySbuehT3PNWTmmhJH63UF4NM64qJcHzzMQBUId+9ldu4tgUlvzrzSeMBCGs7vDS5FjKfwCBUSUmGc6OwbdTIuwsq6OIhtH4xXxesTfTv3lTf/4ev70Fl9e8+ef8K//9vov/+3rOnAkfvnL4//+73/5//3P3/aO9y+Hfr9+7+ggq/MJvXgMSI2cufeKMeotLUQgpWfb0+rRDqgml7Qx2ixfo7I5ANyM4ov07dQvD/23X/Jff+FffznfXvV4xZefvj4eoe5n9/sf69//F/6/v8Zvv/749VcW+o93v52ojgruAA5tIF5A501eaMDBaI1qIXryG1CkuWY/b9MwEqJnaHVJjZrNu1t6Pvn7x0fm4/Ftnb99/HiPrEPPa/j/EbPHWBk+VQAmT6NBlEUmiNFo+jmyNTZAtZ2NGlMwhy0O+cjy7KQIRzIsEsQKIl09bpI8PD7EdGJGA42DuVWyK9Kn5awXKoO+fl/olzQSrJCYaYp/Dug1MwYyU7otq1Y6JI57VOuWut3WVjXUqEEgai3uZ7MoQqZEfdpZGaCCVSUFz0QSI3lkLBKJXAQznIwEMlaU2r+ZqdkFCgnDYlzMa5V2BPHsPg6UuiKZtZjdskq6LpDUhh0SejZr+ssn90Sj2EnRtOaxIiJIZSiQ6MjgknbANTX3/RNqR8jYFTBkds8JPSWVs4kSqrauE9NnZE+Eh7BChSD1IEEibiC/tcKnanQrip1qlbar3G8TJQJkJEvWKAlpXJhQ31mYNLs695LY7eyn8afd9Cblc61kAbKxm5EremK1SmFgL1nRxhiAJMBCL/QcsARRo+E03y4bA3wfTnAVeGuC8PnZonsCxhduwb7zeeKTTPF67k+YZEW4wMVXPm4aji0wxd032E0kVB1EhRJAoCobzkR3/u5I85g37GRLps9BI9LhJCw/0faQenxEkBbHzFt4sz+jzwEU8hkGJGKeJRPWHXObAm0ibAxuYDtpsfWnwqpJFhXqjfC55IHP8qaI/DOMNoMc1F3p3JqRlSVhm8SsngiHCtjMZxd6hH2EtLzphsScQWl0u9sWv9vgZ/Gsf/OejP5BR7DYxr4YCLiCIRKqsi5FckJ6NOoWOXursaB/1qjVKGPJAIhCrD9VEJAqHF0DgLAwWSDcEhujuhqhASPZ1RmaONeiQinWraRBN3DEUTISNi+9nXtGs11SY1a472B6QOBWrHA2f7rMLgqtqMzDF0YIjIXauZJH2/dh8lAQPbplR1HpjGUrFeFcGMwoBCrYd/ZxTEOzWa8RTVl6geEFKTezEbz1yreidZil+wXVTUF1N4K6zwIrF4cy8PJgWRxYXYpg3pCqZRiW9/qUupmbe/otE16QJvZwfJQ9OjCaapNRIUeVehbriNTMdm2/SuQgd5DP7xIc94VqNvdwoHXvq+kOFK8CGOE9SCQnSiQ0o+g4WkAn3YPphFmNAEcmSODsrfmTfOw4qA8z+0Le3pOfzx5mlRJJA7UWQ4FhS90BbJNXNpt/biTeDUCkdW6xDIhyuTNAhG1KjAhcZhs7FC1VQVXaxYq+gAaqxEQZqh/mwWSNW9Z6ztjmmOE1HsmYDU3APcIG0YiWAouGdWa4JzmuE2Cy0aGbOzSyb0mgb1nYq2ZXRbMJTG8A7k1yrlOHMfxZ1OZ5DMPjevGYoAn/KLyBFZ+xg9qk7obxOSU7KlrikTrPPM6DDyXRxX6vevrIQVdPYVrAh6pCHb6erJe01AwBaVmGtwxuaG+ubCiC2MgCiFSodHa9QT+v/uvBf7zol6/xt6/8+rW+fcM//tvbv/7r1/Pba9aKkyv0b/94/T/++uX9j/7x5Efqt2KVYnFL6mId6ZyOqCQtfRsfeZaleES3IjEStUbZXKpLUNO5BmhdhQ+u516FF+lviX/76fGPX/LvX/jLT/ny0/HLz+uXv359fT0y9X49f/1nfX171f/a//M8VmDr+dylShQ+iFbxKa2Ji1F3BoHajXDoGMRksw+wdrWXYq9aJUnmKahmhkrWuty+OFQKjfxeV/b5kudP6/h+re+9zQH16FJEuKh2GLYo9LxkFk0MDBHs3XkAzq3goB4GI4wOOgNssgCc++WEBHTYpRSICAWQzKTr17GA4nkuYTufnW3OjUFEY98VblZi+qrNtvWVEU4VLwNQUVICEDMDDj1RyDKH0RhzEroxHK6iyMxklToEMVYgShtURPauoO9ZW2TJhdqWdgpiRsq+Jq5FxkNBxHLTPSPscPJnao//eNJgPtuYkymCcD4Kxb5SS7g26eALplQJdq/x1F/O2Gxc6g08HeDBbJpFCsFhcItMIoKLEWzGikYuU6W+mIz2yvm8SanrnhxutYwvPs9yfz44DjqwMdWFZVOARQsCgLgtRQOyTjpioiNCuoBDUaUkN+r2tHYH2OEEF08ent/hiN+hUcsoeGueu+FwFe5fB+BMC6tLxILV0f5zLAY2oAKY8K4eKaDBrRh9GKnqQE4ukMWKmH8KAmdJ1swUYzyhZoQKBNL1OCrIVm8wwWYgmgRjIQN2/dNNSaKA5CDrHnkQntcV8gxv7MU6JN0/WBZ6svJkKSiqESvhIBB/haAbBC3Sxf3TuqxNLXMusOjBGLHzVDIGMZlf2EkTn1kepqoxd56BZJIRoWrb50z6WLHnZB4C3cPKGHO9UVc4ei/n+xS9Zu9SpAkBqMHl3fAWAYegCBEOqQlETXwTBnwy9zaW/FVR2DBSAIQMdhhzbf3ZQNf31W+iKTDZ/h7jS7FQYHT1qDc8mo7WQrfUZJvlN5fjlWD2mk9BTdt0EM22lsxxM6Y/zKy16f8paoXGUEdx2+Y856atOjEFswTHsunTRgrATvp24Bn+XO3inh6ZAwj4WVkNpREcEVGFtVaIUEYAfRwkItMPRHR0UMg8kp1M0BQhhWRW7CCKEUfrCk9tKM4Fyeo/u1inSoGfADJMDrheyFC352HrmNLnW2BmLzg1wc2R+pyWBjMNGt7XLkdzCXKT6MAO/lhszI9YjsZyQDscWOGkfEz4oh8TTh6PjcJxoxX+O8RmpgFfNjOpAtZkgoObyGA74cLodMkTsf6krQfiNUMhJ3vTwrO4Y2u8LRsm1BQ9zjguIZ0zTD9RppoG7nJ0y2LYw4EbjOCckP4bo+hz9TMl1RmnCY++kXd0kP+JkqNVbVcm2GlHIu4/00rFocWEkhzsTWbEwOPIwexu7sljOu7tRjZS7ktq1uVxV9Xdrjf3vy3C/k/rH2Ypn7RCEp+5n7RN5lPMY1qZaNyuCN3EE8rAX/kutFLHCIePNpDuAYqYb7HFgJKNWJqn2UAp1H2LqPzWGoTychpgqG6dLOJ+LBwsFoN2zrfd85HyLjWcTdwLFGpysrXAtzNfT/cpEU/tdyeX7bY8W1zoAurzR2shNFm3g9NByCmW6vI4wzQ/k90dEALciqfOjjPjZ+x/O/On7L+/4OuZX9/y52/8l399/Pf/zy/r9SuOzM69NzvOr/zbL+f/+z+ux4lHPBYjup4O0nkuPaR2EK4JCuNK9nQjtM28JKuUBvGCUsFyv1BCuxp8kk/yWav1Rv2S/PvX429fz59f6tsrvr7yp5/yX/6yfvrL+eXLL4z97Prp6/XtVfH6/euBU9d15ceFX3/sp3J17ww2+NHN0IJeHRvjQ60kMAMiGZc60lodObOkkx2jOIdyrGPRNvwDrCobMq+O789rHSu+8vgSbz/iN1R8wL5C22NHSD5jS0gTduAbEEY/NfEd8edwdy/ygDE2ikj5Q7Zg2m+sGIoioJUIZZKrV4QOLDDPzDDM+zCmVVfV1nW5eyzCG+zwZc7t08S/TDBIU0tV5cnZDFYSjE9hy1q0yvJCp1ZqbwJKc4lRWR6cmljBRrOsl4BbthqpuCgq79C39rElwi4DHpkJQpkRGb0UuFNlZMDHruAGohWsrlDSOtuOWESTGSF0XKFsXkRKNbOW6dEGyRCfVKO2uhhPRoFljGEIFQKpSGItntTKWMEV9huMYoIOnyNCdrw47drox4gSdZsQvX6KEB3CPNyiQ31ronXuiwhuIzXg6mgYeZ0cI6Iox/EusQxLV+WAdlIrWuXjzTtmD7x1C8QG9NJgIjUImDiZWI3NZqf8gcG22ERZ60ICadehbymGF0CDrAHrnZcmerFH1AAnX6xEe674jNlTDjYflDqxfJc75Oam+O2nCbbgWKqOoAIZkZ0RyqBLsHlJkTY14ybCvLGaeJJlLpSglc55NBPRNbNFjysQ7kPNaExHh+cqo48kFEz52ioKjHXT9V031zDKN5gGulXQGolJz55hgPH23Ng2OX1VFmQp0hoVgk5nCAc0AnTgJUC/hEbhmjVkXBTI/LzHhJUeqv2tE4gWMsIQOj8hN1tGQC1RRTFG0mR4eXRNG90tQEteXURcHACWgBznYfF+y2hjzCsJcZCZ+bbQOd+42re+lQYiwo56IrStyR/3pTpyycnCQ1qRci3x2AcKe4RBJW1IikxicmdaxmY1SCva46dfX94JZYLGoU0LWoYO8YQ7H+7Yj9t+an1Gtaw0Pu/0jNnyoWaGcR3znYf1rYkMSVHdWBpxoawPrejQgtToQMEO6DIRZc+29Rjdu8lQFcn2NFmNjMn2tSikiSx/Md2f1LEfz/CgP7t8o9P7r26Z+z2bTRoKnZk4eVTFDjfKSxG3sLELJuxucCqCZT8rKyMn9w1emRygMSkFHhGtfJkDLEi2p+mgSNcVRTR7NB0CFE43NLPWlGuYwyUZSaDGYOAj2jskbYDWzVSSMfGz0mhWRuXpVT3gSK7W/M4CpmUu/BgLhlK81lMFIdwVGEAXg76wbjE8JvYoqq27vZWqzjM0nywSrjcZJMXjdcNye4twA1Qjlx2GgA2DcwwHPn2u5nEaaJWztCpYV+0I0KO/XKvXbULRMWAWAzVuJThp7abGXjO/DydDQff8NICIbyLMk2VZji34PdgB07kYfo2NKTbDnT9gZ0SXwLSbYViHeZmX07y9X1ATStuD8W/nBfv/Mw/gH1matEVfJgAsGLt3u6HLYngfRIfQsXCczBP5YChRqCoF99VU9p1GsU3gOqULI1SyS4J5G86ikgPu2eqpyxkGW4A6s9tttY/UL1l/P/Hzqb98yddvx7cv+eUL/vH39W//59vLa8RxtIKRHtWy+nHw7fXir71CwaqrZZfjgWrgUmVGtbMfGxe5gE4FlVGVeVNPtZoSk+wq3O3ZUvDAtVS64gX5BfvvL/rbC7/k9WCcobezfnnrbz+9/vz607m+KOqo97e39UV9PvpU78LHR+/37udxtVDrwGbzXWAjGXtvraZW1EUsd3qt2YSlrrb0sjMYSS1hC+ACuyYaJZDorgSRrptl6fjx0S8vz9djvZzoE4+Le289EWTP5wRwLIu3pi8GacFc9xYfDg46jkX5J0HbreQLMRSNCHN7nchQWjGe7NC5YmUcB+JQRhzHoZdayDgWU0mutXb1j2t//4/94xl1daauHqzUUJZPpzJPsYGFZg3vPWwg4sYWE3TlIQJEH+alBr7fh6tTlxYouw+DUSJRJCzSaa5UVScIFpVABxgrJCrtdxCPAWwjKVVerFQotioHxkqotlFOlTrgHKaEQlAduRyRquhsQDr7eIZSVV4XN2sDlbFL3bXJS2tT1RXmgZxGNP47ZpNcyCNxRBBYAlfIyK6I5sJIoDBSTQ0s6JOBGsRpt5W/Vp4ZvLq3xy3wHkwbyLHy9lDuU19pYGTwKvUdiJ8q9fjq1hxO7aEVg6NnjH6yZzSZW8EAk8dohAUOYjfDT7RdIe5KIakSFRc6B5D2W28+MkQdTU+eCjRs9eVUwdAe6f78mOZuY/hpaq8M3QMFZ8ENPwYA/dEJTkn3bQlMqIPX54xgItcwjswY0xtE23w3mEmjUEEKe3gZapJoeGe/3TijMX0TxiGAFWIznSSrWeHLWm9z39GB21TupxNUMx3u9lnm6PBfL69JNJPRUZgASDOIt8gi1D427mXESToCkV4gWiuiB1QleutPlUbTAngyWMLUk4fAJsc8OGl6TiurUNjFCAiIbDTb+zkYdGajP/jr1vGgA+1pbasmRcPUnTEqBtmx2Z9pB86jt8AOsD49gyiUgRI0EXHbhKy2mnxO/27wwE0nG1hGe79cDUVjx1B06XfP8ev3/me9SAGOAW0hnfoX9o24ecovn4viMDH+0Ay68CsED4cNkGKFI4SBzVhAQc4KjRHnGY9xbp4YykA+RNKisgVwsVgrh62NUCCDQCJSGvtUEI3yxs9AdyIri4UUA3X5Fi4RUQhJK7pEF9IJ4WRb6BbLgFI7Zt/nlMma6nvN9YQ0Q3nc1KYDfTmuAfe8ZfUmkqgIH4TNYiQKLSAzhmAmhk9x1iqQBs9uSDGgwhSs9K1GAtqSPavBfBIAxLoZWf9sMQvd5D0ZNW7372Es3DAfWzFkHNK7kqJmPr2fFWO999XuvznGPnpHfYBw04FNWIj52e6pOMMK+OC98AecDFaz0N8QuHNqANqXYLmJSpHhc8t6Ed3eF4nJuThiWklMi2w67ltNRCzOCegYCCWjORUb3rkYyLZwyBxeA0XfvGOh63bgum+RUVJ5DfQVN3i+j0W/K0bX2OyplBbCyjS0NYmABzX+OUBNX4J/WC8H42qYzAy6mIiY6L07zACGaoZY+twjgHtHtcpitDsEboJx7s5AwfkfRM+TeGsfRn7kR851dbxPzFCRiT5yPc54vIy+tnerWlsidqPlHsqCIou9ikMj2OYnERnw3e3lIMJxD+yIaDh+Q5ei/cbrhfqJ9csRP6/660v85VVfv5zf3vCPv65//F9fvn77st4eCw9m1oUG9i6iz+CX18dLfjxWQ8yoQGxSGzi7aRO+ZT1gLG/Ilr2Z3kGmTfA+XkM6FtnRC9qpqiquZ4b0Jn09+Jc3fjn1GjiPfbysn356+enb69evP728vYVe1mP1dbzv74/X/ZPyX/6+Pp74+F7ff8ePP94/ij9aHWgh9u5jVTmRVCEUJiyF6vLmmkTnrQHTyPBzoBDaBDhpxcWRoAW1a4X2U43fnzyOc/2E9fH+0PlxPfe1P33DBn40Qef2gLdvaciuDzjg3pBBRLAWJ+QEZnGNyMc8fhFw0QH8GSuDC+fB8zjOjFjigUUdZ+CBI+I4lMFcPF8zVn7/3tSPj/94N5F4LvW2CKjaeYvVjDvqUObCIlOywC6JIxvlPMX5VeT8T3Z15EpuxdEoNKiwbthPZ5xpMah3fqaqOCDn7ZI56ChuRTa0hqCbIisJMmEr2kZRKgv2IRa0UJ0oLC8mEVIuMDs6AhHYAakj1RlARRAlCqwtFqqxn8CuKKca6IbtwqdkTN8KzuM4wSPu5O1RsoP3+OsUoE+xybA7GV1iuEJ50ibbFp5ylhdTQ/pxYgAx8CZFNzuZRWi7P6O8Ilh8JRHdpVykQiUmUh3sJich06mwYkwkkeZ6arDUaeFK25A3q4hugqCdc2VWlkJw78oMCun4bhEu3Vz0GFnBDBYGjzFxAdwvmZXf92XJ4Y2JVke5+M0hNNu4mcJi92qkXQmBCS71oUPROcgue41kWtLatDcvnIxFNbRABpZRpZJyCPyhUrAUHdGotkrKFzCt/HTkHqWyqggelefNlz/dNgt+XzwAwPvdmFXHG4UiGN3NOSbCKEXSjI4cHwwiigi7Ay2tsmC5jzbw5hWKoKLJmzscMF7BlqVKvNjLPd5dcKg8vOJZJCjGsoKoA9Hp+3y+SoaknUihLNSlByYC0HYtHIMOYjFcWrdueZ4sDpXguX0+MhPv+SeWaaRZVZP0xJkmaRmG5pvxk+pytFkAu4zzhVNLC8BY+qx7cFlTeWRjb3kcExARDt71vDvgrHnNu690nMU1QikgVBj23iwawj3tGlGcMJbCtqu3ndjiRT5yRli7CECQkbkWIiIIREWEimPZT/8WSF4Z6bgp2RICQKqCZzF70IzG4SAqettnKftbxU6y2mhjqK/PwFtrVYFAWUniAB3/77d+XKSiasZuAPKZJOeez85gUZGmOkohyxQoOibmFqI6e5RaJ4ZnsIdjnhf7pGbM9tKOO3VXo3exYre9IRsIAqRSJ+jruaU7BWuUcRPBZvFnwa2O9xdpVqsNzlsTVZMRO4vlfBT3uBhtg/N4hWieWsDQfTf5SeCO2LV7UGH3AdMelJqWgL53DDN5o8LEQKnD4dvbMx95jyCJ5kJaCKKUtwN3iySyh2KJgb4DcHaLc76FedAhGpebvhc7REBht2q3/f2qVk8i2kxWjokgZkGiofIefoYYkSRk2a7/9OhoB7n2HU2ecHHJ0Gi3vHYsYhMGcU9K01DxuXcGqsAhfKfiTv6dTGpNfq8fQs6WZsvK/fTag++fO29iy7gVNbgB/Eo572xOqu4ela1WUsHIwGNxrWSqq/uiRqvohk4vvu0c9FGcuQjc9Rmh6hhIrz9jIrd0YlPcBLiZJTayeSpf2T894i9Lf/myfnnDL1/45fXlX/4a//g/vnz9+vXx+PKab+DZALIToUKoXs5+SbxlHOxeD5QILPDqPVHs1VgmKifdnOWEKvhvIJTqjaT7fCJzDcJSwPXU8SF+6GC+4vn10M+Px1uux6seD7y+HscZb2/fvjx+fjy+1HOFAvnyQEN4Pfrb2/rbT/3HX9f/+Of+8vvx28e+MqI6U0t8Cmp0q3eEkSkBYjlyLwGbOOCR208GfCwwrdphAazGzc4PYAAKrLo+Pvh91U+vx/kLrovnE88PqFhlSHeMJ1OKA1qGDs7ND/jsA/lpT3N0UA90IXG1egVzrw15HjDL1VwrknnozDhSuZz9unWSDxxHn+fxWMFQJt/eeDxWRj+f+etvua/i7jbM3syYcmlAGjirPH4qejdTwBKEU6WIQJDVipgo/gjYDDCAygKrQlIsYEQthJp1BFUR2eXO2DxDvWK2V6hNhqJSsZsRTiAKSCuBoCbPlQS0qPLZttjqTkArHElxJGJQDdDuUIy12jazrdb2zh2p7N16kru0Y+8igi561Rr1aUUmkp2xDmqR9iHT+DMUEYb90VizVrLRCMOaHIRIRIvrc+8MEow5qaWaV5oSAk1KOzgU6pzquBFrcPQ6LZCdQVege2PbFF1cHt3hKVK3nJJuj+j2RUIguAqV1leMAsOiJIUsDpOV8LLMUXq8Phj9p+JntxDo5g7zw6CdmgCUamWa2gBY4Bph05/UKycNzyKUuToqZdF/zIChnM2YQpUcwmLPn+8YBlprWDcb+t32IDJSjpVwUO8Y/jTMMXhrs+0pqUZDcuRa+Uj312VyD4oI9iTZyt+KMyU3d2hyI/w7tuFLhs08nkKtAKKaliQyM6K1yUlsjFBrTRgLEyPaQKMtsIRjRKOpjGjRDTZBGjvzVIIyRRPGAQ9/5mYZJIbXn0HbAN7XdISAqJHvRMT9gGRbk6oWHQtxo3n+53V72vyTw6q9sHYt4ahP3lIgb0wjrh8M164MwbEHHhjMHmBCZJl06U7bW3wPLjS+amyPo+mgBm/xKdqzYXiwvNFKkroqlm6xhBN/ebdawhUglrMp/dDqFoWbmpmX07LXCdU1b2ahtptxadQgBdkK4Y8DBBCxtBLrNM5m0SWQYJS1QAtiJnFOjbS5Mqy2AMVtHyJUFi7HIioDe2/0wSiLqzoM7VriSWGqI418eVnGfa3TL5a/p+Dtxa9iZA8mjRnm7XmB2p8OSAW7pMSShkps65NwawUpZCTotGDRT0/cdMOcEoOQoZMjmdEQQYPZWtnGkNQdSftdOM4XfdKEIw33WOl+zBj0Cx44y9lOPTBO51iLreseVcqcRD4jSd3tIzZ3a8z5hEWKN5icn6Jf6bZCpEFjD/LW7oDU1KuS6uZsbzRH+5meYU5ZXVYizUA2MBBNwrnizWFxcRslnIUfDk3yry3X9zblshBjmJ5A2x8vnVze0L52lQNf2yeng58n0af9UMQsMAYpIuSasY6RRQylBNAyKW/imh0yrCoESBaTKAJiTDWOKUX/F0JEOiDDe7Qcqmc4jzfYNJqaEfLcdvPBeDiAVKoLugF98XMdlO+f8WJ9is78rVnyE5OlDAIRfXEVmkfw5VzHy1qLG6oC0LV93wjEbrl7jxnlwDC2vIBGMom2g2GEkqXOSPSiCpnmdFENZbQW9SJ8W/xl9U9v8dMb377i7e3155+fv/zt67e/nHnmOs7CyxGNUjrzpXQsfjnWedb54EvmCV6oJK8uhXPgAUrdmWu6IAJwBXk0sMUjEnC3andGZmTnzkQwnu/7qtazH1Jwv0W/nfk4kXwurpe13l7Xl9eT53p5eQWYa6FWLDKPVuvt/FL17Sf97Xf8y7frn6/19p7ff8zKiRarWZERjQlDanZieRVTZLK7cGvCkK2SxM4V9Qyido9pp+hiBz9p0dNmmNezP47ryrVej5e34+PHOh59/Wgy5LwyEr3vR+eW+4RPlpstLnDdEYao7Ol2HrRsk9S+jTewL/RAZuYReUbwykUe0tJ6YK18eYvHecbiI5ERj2PlA1+/8IiDu74f+XbqR8UmuGlwrAqWRTUjEMBzZuVJ04pOoVyKcRNAVgXlMGLhQGdlYcDosaz3SvYYFkO7AVQI5ASY1l2p5ME8MjwphNZnenYAkxjXc/ZDlh7LIxcgdKxgJNMz+RELEVzC5mhZ1FsqE7SB7ujshi70Be3ez8azeVEbFmKz66bPudoea51ckXnct2X66ELwFmJEszgh0g6oMXIwYWxECJ135BEIGvSYASgiBW8ouBuXGD0/kuhOOHYLy6ZKtAi7Ydmita3Vi/dXOJiJALEplajdFndUhU2LqRaoQ1R33+CN2kAJXQQ9AG4gRK5YazGRsdQgl9B9tRDXVa2Ozu1MW2zI7tMgu5Egl5Ucsax2gyO0QQkR6aOFwYjosigzbKlkN2PNL22BhUX7dv7OvymMxESEFcGAxyRZG99l84TVvMUGMieIieJ0xGX1eDmn0VVmeRJuKPaEnN0zu/nqSDWkbb2IlBHlkLa2gA+MBTUyo9DBz5vlz0sLUHDBpFB+2hKB1p+ms0+em/7tDYIaTjez5GUxSL857s4RxLv02jWHQcjuQwYtbOanKIZKA21ytIOd3zHCo0/9DYEUyvGtAWjULzK45Wx5OipVIHP3LPwyt21YY/5NM+3qvvJ7wFq/Qh6l6K4ZySDsUAVTWW+611r0Dgdc+bq/kdPwOBiTKtQsIuO2rtqtDJaC1eHrztoIe1UIQ9Vq3UvyJFc2MV5K2+NgSnB+GADUHdw5fFMzIkbXBDViZSQyIw/mkURn17a9go1cDY1p3nuSiTXM+uu9ModuEmPNDtAEC0xk8NlY/akfKyHSixEZKIF2lBuobuW4lNrdd21tR0xK5XS0yRTEPJENINK0lGiOcQ8O1GH9aynu0w/YPbmL6mCqGaD9ZxAoqy7aDxRvq4X/2hB5kOUAvfY2Y+gJlKVWbEwAFojuTB/crHlWmIKMCdwDX9lk2UAUFKENRt+vlkj2bmsYndBhQSsgLbAj0QXx7gPB54h5u0YNCIpesx0ZZ4fKLafUnTYFjobfFqOAU5cdPoz2YdQTfGtHSNygXpT/wO5tzbpfiKAK4uL8LB5sdZ8VulcJtgwemLhpmKjdV9ezro/qDYy734u7BjpRJ7O9TXnwNh7qMuOe2KgCyPDpHY6INBXIee3n7xy/lqYzptEqdjBMm2OKt80RW2KKQeZuCMZf3qzpBXhZj8yq7YPdvjU4VswfiIWrE+0vzIbHaXjCsJyjkZj3Gq3ChrOYYw6cCPE89fKa63SnDf4kmSQ0q7xBrMJOH+ToktfeRUm7eDhMNUodkRaX7dYK0rlS2yxFL8Rx9ZfUt9DPB38++faKt0d++5q//O34+ZfXl+PlXC+BF0swiB3BXVezz4PHWzwe8XjkkVhgZU6Uwl1+yDuFgTPs+RZs9OEYMTh4bimRyYhsZKxA7HhWcBcViSvIV3x8Ob4ewceh48Cx6nHE+ViP8xFB7TP46AwGuiLi8cjH80s/nvvb1/2XX86//Hv99q5/fuxg9lUkWQ2FducRVllAKmxHc6BUoYxVVQWEqiNb3eWDdeSehhnogIJgFyA4ijiDl+q69vvaX77ky9vx4/vRP3p/tHqrbbC0a7zH+OsD2vJBzsTnAw2IspamQRZitfC5oiNvEy4QC3FGBs8HsbAeeSweJ4+Vjy/ny1ueua3BOmMF8/GSb2/4csb50Mvr8f39cR7f95W9n7rP/DGuhLsHmxVWfCB9ExaQfttUishm5zKV4RFEG5VFsZQ51hW6g87suwE3rSy0+k4oKwnoDPaOjquVDkYTkuVAoJESAtkOEfAFjiRbbS2+bV7IWCcjQ6SYEVzR/ui0C3yKlX1d2tJGdei594d0cT+731VXYSNK/gNEKEMbRlBJHOBirsAiAkikzBpbuMBJuXTd9TIoYPiGnqSdfQKPGJq29PgEnk2DaNJzAVexxzw1mKBFqWSAKDaaEUaEMFINlojd6cusq56ZUQK20QlGS7ynFgVR2Jz7gD2zps/q7mYEe8TZYwYebINHkMlj0W0Mvo7rbO0+XlKtffXhKhidKLkhohiUI/eQSJKVCAlrhmvTGUDEipYw7NlQ39bHZwxHS5HdxrtFKCxKDqT6jsyHg8k26iBKkUQZ33Zkg9Do0XZAgxQCTWNd9twNgDl0SAPZqAHBIpxMNzRftF9dR9hbSgpSWSmOgEIWOjvZ3aBrGKVVI9GIbNC0mZqIskjZwR4LDu+25pwtOYIIloRyrgsD4rMrTBqdyVmau5/rq4Aj5radEDNICMIBRgbE/HfeGv5mo1uZtH6Zi2DouNPgPZ8Jbf/nJN0a7WzKnpBpxtqzHHO2ZNsOMRJdqjyc3kJatMfd0deGwYBPCVkDn55U35PyRAmOMWsqIIVJexr4GG0vPgTrpMMml3QITWCmovagxVRW3OGJoxCVmGjHOTkoqGZtSw8Onj7mmHeg/0ih2IzI5d4W5Vrnw08wgGBymZzOFVAsih08bDgyLgTfSr19goTdtvNaW3uPtblHRsUYCXVEtpP8BDi8ZX78BlN1h0Z6HCoLFBqefWeYNgob7opv4+NFn+bGvVlDijjXtUnPrIGsyVaJuCV0moQTe6iSQO8e8Y2/1wkgH0wDAHRpVu76E2621696qJzPpKH6HOU8rGK6Vf2yEd1ilNyVYznbpWZ5wTRqqL7VgiYLjAixheVKOVoEaVe8Uu2eifs5CNHUHDjLLWMSB6Ekx9wgxp/JOPDRbGnUVrngZ1ZLftpjLSuY1eETzfahFyM5nrvnPiSp7Y4b6VYww9+2IxoMA6G97IZ291ZtXNtBFGxG6YlZbkVXNySczjprt0MOLSjVtsEXNwzTI6cZ/tF4vD8XzdcnKhGjuoIVf2loL4Y4jB4lpmVIo6ZD3+DEfRK15LoLAdwC0xsLibtmECEUDNnOw3KLD+0OMiShoVixcP/HR4JTiiw3mqNnHVpnHgt2JXUnXfrTqEZtSYUkutaUOJRzjeYbBm0m1r3cMH0/KRa5JfNVkbHFXWce34Jfj/rpxJfX/PIl3h54e8tf/hK//OV8+bpi8VgvySiT0QzwHUGw8uAvPz3eXq/jrDwYtW3Tb38eaIm15Q6nWWWLjRaXLOjKo9SRd1QIKyMy4MArXaUngAvqhePIeKx4sEgdgeNxrIzMPleqC0Ck5WebG8H1JFbE28v6/vXjr9/49oVvv+nlRT92PcFGl9gdwibiMjSE4aXZuqgoapmhlgerbudAhqLjCmuymikw+5N2lLQDx1aHuPd+7+d6nm9vePk5+n0dz48SuwtYiSgLHP1SDkBjACraYF0w7EBHhKHzHqeTXfqgpsYMihVKIBGH+Ipj4Xw9X17weOR5rmNxncoQmUym+sx8+5LfXvLtLES/rJcv3/ZxBBNc6K1Ihz2QNZbSborR1ljP1Qx1MVHFrGXNkPQBZURUKYIk5UBwTx5G5zO88COEjiCrVLaEjBMchcBGWQnYvNhLVHSswSoH6bQMlICYE6JWsUZOFYzItaYnjY6ehecTA7JX92a/b71rf9TzyS7Ue9WH+kJp9xOswG6BsO8axpgMH0SkVriFQMwOMNOxq60BnmdwKinABSkmJpqfPaISpA4naHhtnv+MVHzgxwHNQq065jO1HrHGKmg9JrdKHnY8RNiwxaUGSrESUEmeYiuUgjpQEyehVqsznLU5o0tPnlonLOnz9O+mYAtVe3HRweqRdrhzMZJL2Y9AteP5WnIRKiuqiYvU3hMhM8+H21bDYrSQDFBxbhFRioimKXuNmdWwX0uIw7gSckKRAhEjRhfkbNBOUKwRGQ+vN042KNi7nFDKVg/CJ5le9dJjjUkyeoJQBphi+s672Qh0M6OliOr76rO3Pu+IVetlrHAOuLXOFM2i3ALihLW55XqE0KY/BhNLmpHI8nfKFLlQotrSboRzbIwyxewaDaGioz4xiASt3AvrrGls1wMT+EltyAUAg/AN+dZSuCDVJT3SNuZqXB/VvvNJzlA3220gbPwvTyYzhlicBaPtYxCJOTznbzTMW/MnlXMYpfYnUp8Y+9BtDqucsJ15juCRTyOpE8loDgLPGM0/Q0SMyspru00b1lvPrAUQE6UJwH1W4w4coYfaA23P0QjXHlNUBOSeWOcaZwe11spXphFa/26mHrJj2BYESVYoENHqbJsP3EMJbhUbVj9FBzZysVsHIsjudWBXwH3dYioMEESSVe0uGSfjOxdiFM5MI/FrjKszXRIDAY5NHTPlz6KmoTtM82kmZhFg9545inQwqJ1GXVi5gIa6geD2ADYv/Sz2jioiELbFVI+wp4d8umvdFRpHPkFTwkal7WbxL2fw13fXcgagJmOu+1MAYMpk+4fgRNJpEfNS2u8zwfyztZrpYVjAbcqG8wNBVN7UI4bT64YYHKW7AWLIj73PpmCIlYrGvIvmb+gsdoHBdLLubU+F5JPIsr35k8Ps/Gdcke8QFDoypJj7W7bFNJDcpYre1bu1W8oIQZuTl4DBmFao+haveVcLWjl5p52NVs5kbA3253YAf/qaN+BWkbkuHXARifmNDZ8R1lTEJ2YYrKGtcfMtggO8ZkUUQXYXOpy5RdzuDDNGlrX44aUJV+BGvM2Z/pkGoMl597k6OWz+9mxP4z7P9fqyYkHYciFxo5uNrpZ1jACYxnpUZfcvNROoMY1OCxOJ7g7bLUKmrMhUia3Vedb1svrnE39/i5/f4u0RXx7x7S2+/HI8vmUEznV6ccyw8lFLYj+jdKw43/DypsfqhlKL2gFSq6aakBhJW1fkomTRo1SLKpB1cHo6I3QccWYiOsnd+njXvjouLuiBfmQ93J1lhxOAc4mMegYWM7ukVDZz5Y8G8RL9/uVYP858HPrpS74+rteD/wwd4U46LfSzsk8yoK0FlkcHPwJpSgkx5hAiMi5fIKl27gcN6fIz7kwIRHVlk4vXVnw8z4x16vHteP7A4+qqS09J0yLAeQZwY73QqP+HCCjLtgYk1jCmmJjIyKSIM+JALMbJfImXR6xHvLzFy+vxsnC8xDojg0fAXXAKvOXxOHEE80BDkZ3MrquhzFj5aH0wIhXXdcVKqltRUQHW6EnuqD2TfuiqjeVkvTyYEvLOjhel3Rm0114361EdQEF9zZmvKtmI2P5roUpIIjYBxxmiYUm7hEihsY4lowHFFBGrLOtEULESaWnWSr+j2bEbSuqq/q4/3mv/uK733Ree78BWtXAVdqo1GYAbSvheYuRiIPoQI/gAz4igz9UVN4cfDkWhiUIJWkixF2xwFEe1gDsEimFBgwCTkM5HAhhUsYlR2nidn/PDmXzgJC8aR3IFuKTM7iZbCLlvp3TklMybmdxENqoU6g70dml0p/EuQ93oy9R3N6WO0e837B1TowV1o7O4E85WTHVYHrB8/CKC0BmozgqhY1j+o6vXKlVXHIBwc/STPb3nEkuhoESE5O7lyXKbzxJCQMQy6kPBPmP447SoSIEZc8OK0l5lKcLowK3XrTbPV8PO90azHAsxIfAjiPEl5p1WSFMGbUYfXGzby1pyG4Vhh5pF9rZAo9WJO/oJdEK35qZZBvgWXQvt3JWAXWiibIlB5y218EyYnnYLiqCzLdL/txNa2pn75Wj+ti4GnIwCs1wxmoO2dWCGyYjpfvYT62tz5Pr8LAQZMfQoYv1XNu5wF9nenywcHrWsV2AyHTnJkRTRcDN438GR/iKYTd1Sfk2rS2vaFwKJGOcwQAPMG0i/nfd0wBu2owCmougJ00ml7ASJw1I5OGEDZXu4dXCzI3C2dc3M0DLW2SOq9nOi2zrry2X+Go5zBWI19rRwR0ZELq2lfJnOiYGIHchAoTMcFOOVGTPTASooOlpQe8czotBAolU8lmH5FsC1VJdMKlImMpWRVsSXhyuN4zBXsKXL+JdfIMAwboJGiiSpOLwLmkyUv0roXpXdYdOfyLTCdXVOPO2bCSWaHZWh1raOB59VbLhY2bG1h+2rAZ8KQjFpgaUvrSA2OscoBGvYSKR16V44HfPk5kmaQWiA2CPZ8qXn9Kp5rgs3kWYBunXyHgInYsu/CG4Krn0eYXDA9mOZN7mGqcQ2buqtj4JDZsDJy/G/NIguZJpyDt+OJYK3Nbqs9Ac+laVGEXRbJbwaOdbPzP/cLwPHtCfrRAvLv8m4JgSRrSp1Vxe65Dbyiemd6w5j3uom763aGZDZTUX70qbVLr6iCNpOMwkZgDCZwxp44F45fUL5eInPW8GkIWXAahAABnoOEphtuCOCWv4u/YoheB8946IHalB/TPD6fHYtk6pj/B08pucvLEXUJ5zRcNBLE8B55OM4VgLpdw8W23VAe1xMaJ8h7ew0h2jFSt+hWhci5NDp+yA1LmGJ4ooIx5q0knxFf3mcrw+9vMS3M76sWKmXr8e3vx7nCzNOrlM6uGCdROKjdQGKpaPz9VwvL4oDwVzQEfGxwWU2imrFQoXFgqXOsKNQDaUpwyrkiY44Dh6L64iG3D3a++qrJbIjIx87AuHn6rpqC4422eAGj6EXG+QePeg0dX798nj9Wl+/5durjng/g+8t7MoV4oUM7KxF4YohI7UrD+OWSbW6G8xu2oZ3QazpYnSHWYPq8kuBiyUrIF1Rh331fj73eRwvx+u3s977+qHeqN1lO5qp+ztrSgAWUYLaY4Oy5KPEy4ES0egQTQ8AyVzIBI3xL8YjzzeeL+txOpASC+lDlVxHUrkfD7wcGbkkEBHN93pWdR6BJzO1lGLXU2sdVZuklpbiclspaJzLBvhAQlc1YkMgEj1LiiqYkejOFTDd5YCHEMVMq2hDqKqGDydCYvUEBzIBdASYGSAqjhXh1yTauUy2nEXmqMzK03SEuwkb4QanPceHw3X3hz6+7/ff9/Oj9nv3B+rZ0awnC80d6o4C2tCAoCQ//fedEcE8GQeUEQsMy7YZi3ddKoUYuvtmMblswJIGwDGEKN1IhHFZ65NGi9gSI6J3GxYiOLEUuompTSsofeQYDwfgKBM3QLpBOSK3OpsQuNSdIScIoBsqAa1tLxYBRx5gptwBYAcYHgCIknGzkjJK5Oq6rkQKqRJOQ5YrVnE1E9S6ntzvH1fBQbDDR+zODslBZ+GoT3LL7VjTaZuzPIfhIFgYlXcloxuARi8af/KX/szAZix1B9IzN9CWJG7aouOMuXs1cynVTCo5QSP2PTijCsRYRgFCmbQ1YObwyTZJRLd1e3IgWaZ15CiPbcR4Ndl0roTHW19kjYn0adcd5wo5VJgMl95M7mIDTLCwrJnKPHY3R2oCObrPzLBQckY3mQEqq8sTkgmYtNJxyqyakaqyzqC6nd9Aa6vufgCvT9tQp8X8g1SSKV5W2Xg/82SAQPpej0DvWXT7psud1zkT36e30sOoDb8VEVN2TFCDqULAXWXOCFOY0AolDi8uhqYpTh4LCWy034jWBIRnJsZhuVmBZfChp7DErncgFMgG1FpQYRUc7GGuJW7hje0ATMcauAiQUz68EbYbdMQRS82D6uMA17GOdnKCvXMmntXJrCBoG/9ExXKwSmvW0FG9W+xQw+0ljlKN25apWAGnecZBy/atySdZEoDkYldW21kx+xyzZ9e7F5qFaoUiaF0sDZcMXWDsw7i+Z+cQy+3qHK09nLPtcd3+M7EVGSyyPra94WTcfxSLwsVNRQGJg1k1Dnhg23zp18Zicji+oW87hG0QNWG5pDkQdLcl6d1FhmhHrtQswLpnNcq7JWRgeFJyGEGF7zAWiHDxjRfVmCGXGGGpR0J1m0HI6Nr+HcXhLSe3fp6ooU2kmt8iI9yqnH5x/NDynk4xXMUo+EbygOEVxutjRxFhd4H7D0TtLmc/ZJLIEQYOVEmQ6nI6brU2Y48oZnxuBTG4ZeewJovAWIgnZH8cNSXszsCygN4kAUddQusPVABcE8/RTPUsnkFTQJZjzabDyPE3zIqKxlxbCRBd9GHr++Su3r55FXOF/tMiOK/Hp1jMKXoGj25VrDu6mRhiVvKnQU66birFCi4pl44Xj2i9LOhH60J22DQHjXpQILsGXE0KjXTWqc+o5FA3fz7ZQhQQitaOAsFD+yv5j1V/P/El9fLlOM9+fdVffo7X8xn7fDwy6gfPXJVXb8QV3e/4CADdiedaOs4XZvGh3efVVzF6gwvRxEK5ndiBhVRXHKcZ1SYhKgMBHeQRmYaYstf7+f77td+5lS+sdfRZ9Tj2ETsQgcqIAxnc6kUoMva+QkVERaPj6ONZRe28Ps5DX7/Wz9/ql7/qp//o//lH8TyoVOPjIk+CWnINKxK9wYgNruj2zDkCHYLJ7lqVVRMuZQEv1E6cwNPoQq6tBjpwLO7u3698flxf3xZ+KjzB37E+KOapVtHd22Eey1T7nl6eSVHYDkwLGQ1OocBlOsuoCiN2xHGEgrkWiFpc0WjhALnFUwF1Xy/nWiuOB1+PzLW8Xu+u53P98+P5+7OfOIq7crPYWkEBOzLR8Is5B28L7foiSnGhAykBWw8tuZ7YTcvdYCUl6FjLSSErdNmMmB11KJ8iV8WzOjOAAjp1mE4f1gCRC4DteMUFFBlJJMsnr3rSOng4h7HLEKwqntVRAW01o6Iqnx+9f/THD+0P1kY92VvkuqpCitLwwurgkZKY7LL77ShlMMmlOpFckRGZWAiCuRyOkcyZK9zflyMKxGoK9UkWGhgQm8WbRbzzD+0znd2h4AtCc1nQA4WZ4L6VfxHpkH+Pv66PBgvKCTWvwhM6DK8yXVBocOyWJ0ifumd1MZzYEI7uGGBeYLTKTWFtjYx/r70RiNi7Qn1MeWwuInOts85cPLIvvp9RGx8/rtqsq/NgM9lx9VM5cbzKcMbrHMIqIN1sgjCCncW+NSKGV+h93vNf0CCObOTy9xBcDffIixhjcKC7J5NvEG3LwaMvN9tzgmg597QhT8/5TkZyEqR5CzPRPUPumAN9WQDSLkvWnZw1cJMIcGG058MD0nMSFWDJSroJgcjPyMhmUIyQm5KsyQ9vMYyg7piyBXZBYag/3CEUsIUXGSyEw9UtynDta8jFqLDWVKm466hsP4BUrQj6Gg8NhelsQhINVIX1Rl46fYHivuFxS2FGtYBl3wqLBVeShehGqIoh9B2nQUyySADNTKlHPmb2uW/V/4iWhy/SLWmmUyI9AbWFE+a+ClhdPQIA+yjsXShpWgysjpM3N49bJJ1YQi7NAkIrBMZc5SbtDKgYgbyrsylzNRESsbjzPGJxnXIQtTehOFKSJIe4YzjHZqSB0Vzp8zMaW6MpLTNRzcjbQGQzVCz6k1xLvclVkX11hHihAhCxOioYip2F1G5yu58rjMFT/nbVoR5QnZS1aerm4W6JhpWHsNZr9SciMsupXykp7h3Q75ZdBwwbgtPGkwSgKv8jAfeSeMUJ0HUwwbjLMtFl0yXaaeXusfjUI7HBaR8z6Ydip5mdlizLRrfdfkaDHb0/p2LiPhNuZo+QkMsenFCie9uWRIGD6npLdo6S7QY9ah2bXEhJDLQrHm4gSFXuHJmgVY/Wfvk1DKFdMCTs2x9jk112ZDOAkpaVdN1Ys+OQcNx1Zd5FWANTOM2xmTlCUHQAV3Xv7marmn8qG0ba1OWS7zEahfjJbUCQFZ63T1dCTw8DKRRFh3bN3IMB/+mSUu/+JMSa89g5Q4AlUTC5bUzu03bkLIa+OUeT2X3D+l4Rb3mQr5hJLrJ045N1xi3yqbmxMbjTnwnSMr0Qm71c4DOzI3Cuepwv55GRCnTEssRVHl+sEqbTG0oI99XxFhdxvisblFoIVdP9A54VqAWot9RshvAIfHvJ88Rj6fURBw/i4+X1eHx5BZKHkNh5JFC81CL6qh8R0C5FF9Vxgt+Zge4uu+CRxLZ7bVxMHSsUrWoeg1xWu4rVQJ56eYU0g57o7tbzeWWFuiRxBYpQVolieB9ttmpv0f2j4QxMbSl5Ee9AB9fi9faIt6/x5Vwv53p95G8bDan76ON5lU+VDoSxN7OzJRuf0pN4w1/5hq3duCljZ65rltgRwTbmrvCKG/vjCurK/TiOrz+fesd7Xfi9n1cj7n6OzgkTs7DIQOYNtM+QaMhXjJm9fNcjg4qIjDwYiWRGxN6RodilXIjlj/ZYwei1jjNFRFQpJakVV/H79/ffvj+rsJDqZ4+5JZyJ0lVtgDXgObW9dG9RG3IFSFg1p1JyWoMCiMFCQGCluTAu0+OxIOk4slCtR6jRfWbZX3OHszAR6lhErKxQWhHhsbC5UEW4PqadmRFZ3cjdGbt+XNuKotrdz1bxeq/nc6PVlytcwwRgqtQoQQWK2eKAekxBawU6lIuxkqQe60gIiTO86EbonnWyYR1Zt4vS1QhR1JppfejBqWTxtG0xtGbuh9tO5PANQ9INQ6ejhe9RM+uef61a8NHbDXB5H0MiStjoR0PR3Fxh0YYDSYFbj2aa/A5LiSlRb/bsfwOaG7Am1xSkz7GnxtUz4OQKLRy8ph1UjV58JFF54MFVwrHi+VH72rvUh3ZX9gHt3oQK3ctUm/woJTnmIm9IHVpSTynCdnUs1yhraZEcLc0XFRR3FLRjYDXrblXd4eGSM7Zu7Ent07Q0T1iXoXZYyUkIPZJOzAgY0LYdzSkuIRoBg+ON2B3uoZ+drBkWpOBmkJWiszQRkAMiJ3gnlRxygNGlIBSyBwFGynr7glXQ0jRtN0I5u5q2SvdnuQAxuJVzkOe9myCO2UACTVsIYgIA7GuEwzzEyJwBtyMSrFaTnknRQEbfCD7b4j8Hkoc/zD33roXL6MkBK1/IzhtsmSeMRsf8mhjxcEuWRm91CLb9WeTl69GOPWfQwqGjA49q0uF9Dswr4J+KYIcEDChIL3LDLo3Ia7Q40aitGa5ns2l2+lpoeMZPwiIsu4DviDDjKhGBxl5cCAQVR5rYXQ8AsLPIQli78K3RsrMCVtvmipv46o2+lMBGbDNd7SBEb6meDSCUFQ3BjkyoosaQHIvMEDKkCnBDSa4RlzviiJBl2uZvraUKWqlxR7SZGMOtk7jVV+I0msfdDAHeB6SpIOEOaHHTQq+MFm4LpwBMuzPVJUg80DW26mFvMVW4mo6pzyVPrcygywpmKTT9JZ8xo44xusGK0Z8My4LkGIkxNM8IcuyB93cTEWpb+Fr2X82E7kFWFgPxkyq+IWzLjhQOGfHfFyo0MbWHsYDyaoGISZaFuYLP2WTsyzctxr7VSKFgq9PzMkBM91mb6PfHHlWKRXYb8kM0e3oqXKnYdXFa9VSXjz14o2MvOGdugHB+jlFuS/AKIBhccJoTBk73R+mX957bx9o/cr2EJqdEI7L5s243CPYkEdueGp97fc+l0HHzBTTbBWl+hHm2vJS74wQAYshCg1BzIIwZDrmircmFJaFKDUHgJaEM5jnPCkgtMlPHYfmD0tVlEXKWQoFE3z+CN7CONg5mQGFyS0lGEffqAdxiQSLEq6OhZnQe6m8n//ISbydeD70c60yspZe3PF8zI+jnAYC0WTzs2yvuC8je6iZU18f1sbeEy3VlvZw5iiGdEMmSVX1ue6YYgbjYRxNrQhc8PUVEaVfV/pB2Xq3dAvtqnAcXG8ATeG2pQq2ubv3YHxcYHVlUScytWqJCTjrcj0e+ve5vb/HyEq+rT3SupeuDey8uhVTBpEqxYoLZrDEoZ3V4/QtEx5z3s67IwQPWgkrGAuea99dfQGhTufn9x87M80s8/rr2e9ezc/Nisb15KvJu8LM9PwAzUzP6A3AOQ052oeGjBKCFYAYXwpB9NxuslNTWy4traTHOhch+sJtOoUuo3rv/87fr33/78f17q4ZAKlhRT4pVl0BnwN2KO0SHZCYbn3HSG0VoISYMg0JQiiCWICoNZCoCFpJHZl2S4zvsWnEI8eBy6ExjjVKFURFGLZzdhcTgJi1uSGAf2Htfu0rVqPfqXbziqn19V+3W7u5mRXUAQnUg1OUvr4Q0dt4WfKbgyHoxdHQEuYgjIzMWsUJHxMzBVGBE5nTOpCNI6MByVjZKBN3vaqDLZlMZw/f9c3sGB+n1kmsWmreBDPe1xKli6XFVEMbz+elsZDfu3Hy5qzrR8P8RS6ViUNOyMmSz4Oj4EtgoiICjm40plL9GWFavIqVatzkwUn09kZnXvs6Mvth9IcnoSGEzz9ioXCtRiDiOdfWh3e9XnbuKqGtVCo0ajDn7KqhcsKBuHM1NrchOxV4DAWeGyHLUO1MxA0rIRc9mpiG4fQROFXRwLJWpLZ/8mwwu4P70OVPqnGKOtY6Qz2wZz+RIftQuKbUIggF0oO4rCreIkIklezOsnTHUT8CVzcGp/pwhb5TGM5QjktaKTyiYDfgNNTMUBTasWLMmiCRYkFMpaflFBhJZ3R5eIuuWKPAGMiLGsEb/xdTzjY8iXZeLgGkH0/oSI0ci4qF/mDormhpOa2F0KHoCNWjxfIJFpPPBikihg2wbASa2L70qJEfuJp8WVH4SVGqvMcFB8iiIWZzQRCPg6PFUgOySOM72HnHDjWyDFlTcChuvXdQB7L5fO3REAhHYIoexcLpTKmpaEuYLtIbUHbWjj05zVGMsSVCZQq58IB1hoOYKK6RaTeM/LD+hRR6mAQ3wqg2eojx8zLBJNqM/+ybkCSZ6RexCHKptw6sZHqRZBi2qRjXRHS96XpENyAYdfm5vVh3ITjl8Sk84H6SsTprsMn9LhM3Md0CWD17LQ5oE4+6xTbolOie/gC0EI1RGUUACFxxjJwm2vQdA9G4sJ0mFWTv6EqgYajVcSFDGAVRhtJ83Kj393z10K8DAo3DZdEV4C0VE+gWLe2PEHQ4QVnRiMEIfqmwofRkMqpuDzcucrUdnn0ZjMvenB/kgoDUwuSiI5XjoaaGVqTxPnhIMIPBTQuB8WoScf4t2Ni46AvvTOgumA5RlxCIm/XPSca0cbG1FRk8qM9BB7UBUmfHyWTHXKv8rcWtw/qZnpCSkvglEOAeR8qudiPDWqj8/Ngiz1TcVHQ5U8o6qEbWBcm0uJEytIOBEFXiwNrjjd9z04QRcGZrwou6W2JnqwUbgFgvfyqhx2ng4n691wFxbS6kDDPJxZCwGwmdknGEZpJNdt5uGIK3pdsa+6SiP+bNposVIlhuPwxKgaAUKVBlWAvhQfwPfQm9HH494LCGeXPs8DiCUEehgovzwbmK7wTlKV13NbvXHB37bvbU+Giqww+92BZx/aADJo+BcjFM8I9yLntLqBn/6bSFo7Q3h9vulpZZSxC7+qP2S6kaJG/v9+/P118fjp4yz0dSFJewWP9wlG4Fj8W3FEbVCZ/BxID5avSCpC509BJrtbJvAwRXDJ2HE1lSwg7FZJCafcXwfPWpjRDciwsdtC2InYm1cJK/+8eMDOI6XfPnr0rN7tza3n5Hwlm6Ts4QYd74PjVv/7+myzKCU5c0DEocQZqAY2aHmVmdHXdrZBxEKRB1xrswnsDqu9eBVl/Tr+/733/avf3Rtv+3TetKl2oap0i63IcQYaZAixKjBsRIEV8QaE86Y8bo7Ai5ojZkXXR0VUFTvbkSrAygux4XcwufwJNzwPyBUG87uo1uqxIeg3hu9QxtXX9qXnqiLKO2t3l3P7gvXR3sys2zaJkEQ2mPRw0KUgBAzqse8zOmLz8yzuRJnHH4rMnRkrs9+IzpqwuFsM904182mxfZIn8HG0mR3WA87OYfUWLs5u4BBCI7w3anJuAumOEY0w+omHRqTFMDRSTepbmhxVMGQKiLUET6s6hmZKG0ordaeSRQ0zWZkQRtYINDOZckQPuMFezywcf909M2fpYrmhvaHqqTN+HY8bZDLOM6jLC6IxGGzWMYO7LzQ19Ut1EdnobqB7jy4u+Vy3GiRy0bk4tKo/Vd4ncpIQJtbAriCUkVXZ6xukgV/Iu7VcLwEQ7UHWMcno24W12J3ABYp88bGbTulcIts/OeGRSyW9tn/LQaqwh51jgSCI+wcsZLxpKxuhkee4jBtM0anbg1TchpffIPbbNjl9E+yiswIMkikPcIKdFuhMusePX+wEYyaEPGRkIAE0+to+1xYuAVW2QDu8mmqK3IGw3nXC7STws0NIxeGRv1UPq/8nDbu1lnv8/a0j/E6RQzv6EvhZiPcZyS/gR5iyITpLAE00u/A5fSXeXv87GGYIOb0p8tPs2BrHoA7Nwbw7G++lVNn6f5rFHIFRqkdoQLjrsRtezoG2ejo8AGhtPfdmfQWoAc7fIWgMxcI9fnITOQDuY5YRYHrCMj9ka6kRCMySIYzK6Y7rLHh066bbOxLWx1kHEGGOrwsKRTgSiu9OMVzzOoa7EspGnAWenLWFNLGcXY9q5U60K0uTq9LR9if8RmDwsFKvfoUtKzaxwimnOFzh5yFk5EMtVpU1XQVhmGnEBt26RmNN3vTwPLWMxxOA/lp+I0xEvFTRFLCHac6WTKNiN4D+t54OEc3Jjn4jVUdhrg9ultR0tDyjBlSK1dEw01jqAuRE5TumEvM1BGhMSiAXvoBQ1BSBEoNLY4yqOURM0FRzpcNeypCGORuqBwHDTMY2bImr42rTQ4Bhx/pGAE7h4Sk4ha4GYxvAxFkggw5/wA5AkhVUdFQb6giGpgDR+Ahn4He4ar+C7tNObHVK/F/kQNCinCtPCFLKb04G1DgDUOOdtrGZdvSbHKIOZ8t90GPRMqBv20c3zIS10aG77puG2JgSKbkKB7IA+t9JXhlCT+hvru9wSQ+XS4WF91J3ep0QLcM0GZSsVgEzwwmDqNHmRE1OtNGgXs0qk140OL88AZJm1wGrITuODzye6Ksm0cpyz8bAXXoeln6esbjxJl6ZOQRmfX6CP8kcUBc3YwjUNbFEr2hVqquZ1Wq8M/fP/75n88f34/v7yhAYnErApk8FHSCr3d/pZ8qyw+j4bw8Q3kMU7MBtaq2dne157HdDBwVLe7u1bXTNkh2731dio/nfx7xABbWEjp3FdnNER5JR+TjfFnnPhOZRFg6+iE8hnglN3TSOjsHVbeQE0rsK8s7ooRKSeiqAeRMbpHlNdzhPvCfZA1AMoPqJ3b2B554PY+v0b8c/ez6HXl5m5kHdEptOOFvM1CYhmxUFDvMz7lUGpvekDd7ObuXsBpuq+NDK7k39+q1Q4ynQ5COhHK/Pz9+XB8fH9+/949nuah47+7LMTiNHexSZ8fujvSdamqIh29eLEWyGscSFIs8ctQtzCYyEILLycP5kzNaouxzsYWUAkrEkVPLJjVrubCxwZDLMD+qmpK0G7t7R1WpuJ99/ajtP3/rUmVxF3ChJE/GLUx4vhUvYlfFMqPO6AQ3BOzy0EsxxVwMIbVy4QCDWBHRSmYIize4FempCQNw2ipKoK394X1KkLE8i6Prttda34LJgJ6o+PL/FWNTdPwRArIqddDET2TTFDlIoSyJCwP+skAfAjMiWx3++ShoWTukaCuThQJp3CSKg3QjaEkQwjCOBSBWyY4Zvuee91TmXzEE9QaQz/fq2tU6vqTTcQDmI2MBmERRSmuxKyEcD1ZxP/a+ovfGzgJ5luaL7LQqtCBHhOeg70RM/yu5sLo0GUZA5CT3lpdQIGfajPJvMoHdkhjBIjxrWEo+U4MlBywifPU7yjCGnh0pMhi5jepFdRniRnqYhwY+7xwZsEFoR8lXrnAGayRlt4EdmlbLkPRQnWZ9AlLmcEAxIR/WaASwydUGHjFoAgeEIsFyfgUlm2j3HEBpcpFKT/yc1BEHkEYueahPUxEhjYfQdzjXwG3QBM97YsHAhTkvSvkhMiLqKFGR0SWkI3ZIpMlUZEd5s5qD24fHoJhUkMO9mz9PWmkQdBMu75FG7vYiHbhmXRIxqQO3UGK295Dg4TpKXqgEBUT6Q7Hyo7G8A01gkpOTe/BVt4Kkc7AAjLpd43HsO742l4K8dEmxTvJEPnKdeaQYwRTuV59gzO4fnReHR/DmjasBsLbU0maVk1wCoE0BkQqkQY5GZScTXMqSCAZys8FWmGFkhBQ4NjujUaXOyiaPvGo44YCYS9dn58mtSeakSBLqYDcZuf3dA+E2rQnDMpVizmvMOmi7M62tFqa6aWbdoLlQwU9AQejkshg7IiR1cgJ8JkUGk9soQ3kF5AhMjEdLQKudg++HSXTgttBC3Pa0DDkF6FbQEImgwGRaoOpfc7bgaI0u+0asZ8m4l/8YDxaQd5CYx4AZoeRybQPPd6OmRemacdew0CyoMWK6+UUKNo15eTGIbF1M4D4XQn9m2buLMP3N+GcOroLSFI8apOWLXc5XhMzDadQ6s4tZRU934KJgAts/hxNtAbK1DbtJcG4HY2TWzJYYGtDBP6Mm3AlEB1G4XVTDpLdGfWMYo4erhFwA4THa/O2fQBr9B0xuJeTP16IEv760FAlLMGoI76pj6p9tcRYQIy6yrnbAb0Hsg7FC61znYzuXNYMZC2Cpr49SqWYrUkOM7G62gyl102qCMhIErTCcXCFgXryIqnJoAKtX9ZfH8e0RieeROFYccYZ+HLHijHR2dJyMQDl8vq17++h9/ai9VXm9f+jX356//7F//x77QhM7ikwtRiIiehVElIEfy6tIunaxo6WsmNQMAOoOZohobO0WILo+Yvc+dNNiiOq96pIKddX+/t75x/v6J7mCFeOc2oAqegfRxYCOejzW8dCZWNZVkt2VyEK1gxHCGbkd0R0WuMCfWWSUpAqhMkxLrdWWp5a1gvR3Zl7NOHnBKIj/gW7VMyt4XXWsPL6u+vFUx/6DH7r9vnTgrxffKV+BcWE1U8KSLMHcuEJL2kDmrorO6mIxFgLqagBXNH7Uel518UeUg+wCuEIo7KZc5bJDQm09d1dRpdrgxat2ia6ITzg4HssLvk8dko5nAIiqiCUuuB+0oeVBljJeeafzhsVgDtsO7KoWCtBhVqQq2EUFLlyyi2uDvLrVQK9+v9CisK/qYu99fQjF5xYb3AzkLpRapSiW4T0pwnkQZDnC41DtsStWOdXG9LsRBAYD7m7pFUHSrdqxyLvZM6dLnWnJpg/Vjg2twYk1kd0mOZ0j7YwyM+HGwUgW4SBzxy34n5Hmf8DopIaAKpn/GfLcqVIRmpyilgaZGhlMB3weIrSG4gTuk00kArccWWooXODOgYZEsKyy7nlbmFIgUU36uibcC0oILWFZv6YdiP2s6v64+vpjP77j9Zcvr1+O47UzMqiV2V20QjlSwAIPsT50PaMLq2SFRBe6skuXKi70VXmSFWDQGQeYPl948M0Jz3Bx+3Dgw5lo7lSOb3qaZaGarELusfmEpRU+v29lcExgzehDnJBuCWTPQe9iuhWYVZ9+Qbq1QgYKlL531C0uEuUee+uxxBWsTkSPLcYkjClm0joJBKrSfHhySm0U/mntfx0XLAbUayqwWt3h1IgEkMlBz0XQ1b1BeFQG1YszapguYtMjryPYfXFSGfgMKOLcoegtlyR9XqFaJkJM891ikDLeATERNcnlACosh74HIj+1Hrs6EH0vyIybcb8/QvV4/cK64+E9BPp/aThMo2ZlD/MXfY9cAlVOhrEedCgiv91zV9yBjV7oKJSZFadwD1SACSNKcVp6vVUErWBZUmXiCOR5nGfE2etEHnH/iwAomONfSHFNhiqoLEq7G4m1r1bHvtRXVYlBpDN44VhRitbO5yijo9EmBCLYsdCbYCirisBkMxr9DCxwszGaczMbLHuNvd9HsG3aJcgyGRExT8RwIejtp8aMAYdXmsVuzqiZomhp3NTrcgQad/90GycRPCfZv+6tTtNqR2JkyrJ8XQ5/DWgTJYXIRqUzjFSFWBgIxWpNf1RMU5ZAIP2+M8OYmEhohLreajrg4RoVdPwXJuljfjuB2ZCRMpuVDAwh7EA07XnTU2bQvPLc9Ap86hp/VDDtERYik47MmSfIIwaEJBGh2NYRWEeIyadFyHf4wCn4/CXatiow2BblFjr2JezZcTTaBLRUpXk6h7BGCeiGXFc4PzYDqOaYOQFMLwQGq7lJdJpft68OwxgQ6nFa+Bb2MT8hD34tb8mUp81bmxJodDQ6x/oB33nmmd3N58tD95UJTuCP9V5xF+tpNoc5vIbcwqiUBECuvvLGEiTjPHRark7Fgpec2vx472eratYpb1tsOz5VJigM4QStgTIT1d2xllEphUKsqojABkvZudBfAi8rTkQuQxi1Mo5HxmIo8qAyG1yRgFBI8CrVrl3747m34tfv/F//Uf/5T/zxrC5snwrRCPDwMoqbkBo/gvJzkGEhzgjZpx3di83KSBWa4XOikYprXxU0qouXRip2dW09L53S9T0+Xt/j+vUDfDl/kSgbUrXBdFA0kg/2y1kvRyzUaoP90QK38EJmoNrWsIhQM2cbcLqoWFrgRQVzB3AppBrPnOVWcvbHrPU+CgNQM1mt6AZjq2JTiXU+8229/P018PxQ5YfeL16l8cl0KyY6ZEY9DSWI6BlCKvxv2+xmEZ3QtiIvlBJWseNaQKmznt/Z3OVld4PZiWAuRYBN7S49L6klqTZ0YVfTzp841rrAPBiRt9KBCCe/mGJUw7nAITZ3XYHFagEVnSQvXMGM0KWLOV4Csu40IV2qgnZdW6rqJrpZ5THS+cC+pDyydyNFtfbufqJ3YHezsNXXsPxoSdgCmoNvKFQbuw9YtVgUpYpYAtV9YqGh6HS0JpXEYbmo4kgkI0dUbUlhdzFSAbdNGWIAyJwRQwP3I91+RPTCzO0duD3V4GS5OSQlQESpiQlajLsqwOMMRqJgi6PoyqQbcswRx07IgOFUTegFRlflZ7RKjEyf2vBKIzUiQ9WTZU0VHZoN17kaY6K6VXKeF7on9p/wNmsQQSwOHxnRW7tbl57P+Pjjtz9+ytevx9uXxzrIRYe3pwRxLYZ0iX0qcmWpS9EpVC1EdxewuSMZS1Rkm7wA3ZZIolUJlZdwttW5/hj9rM+IsEvhC9enut37Y1gEnfTn4bPmNqJP3dhozNS3QEfPoOPW1dI1ODcUA9u9HZKTsPQPKUQY/g8rrDV+goyjXUF5F1U6IDzSweNzmYsMbPZielwPryRwYYzQ0YkotS8zwaEvHP8fQMTAsHS1rnn2QFR+EjspVUwQuZCDwE4kX8eyhuLOuunoWa3jfiI8UnhhaStOajgT3xmRDlk3Hg84XijbGhnj287cobsEhoXq7gje9ikiFC4Ocg2Z2s4Zg2aG3v07T3rUwJMtTheA9Uoz2euGOnqIBk8/3vdszRkhRtAWdPlrcUaoU4o6LWlPz6GTqUKCSjoNAhHJaEB5ZDyOtSJf8XicjM6Yzcmy/Elg6raE7ZjKHetFQHA/1Vt19b5QE+7FdTsh7OkPcjGtaoFBaCsZZ80R2iruyiRa7Qi6qNZUmDEiDmC3cDgpi/bTm3zymMqbVwkg0oY5L+bln5Vex+b28zQnH7AJOSCrhGVooghGSzliKwuko/Hpsp+SCivCLMQ0cTAzqDOJGNE1AHiUGkp8bh0KzOxsi+Wn67fJmOBMuzqtuMNQh4EZySN4E18WZd3wDZnH7Vix9tMeat788My0MuB/U0lgDqYSQKeFcSYPfDmpo4OruzxUz3r+qe2hUxTdcxL+L5OWDeRMuxr+MtQIx0vPCIs1O60XNS8fA+8DzdoNNwDcuO8ECHUnqM8kleGRnZ1g9nuoQICNCL9cGF6bkxnLEUaZbJV1Og1X7miCG2hCwIPU1Cf5cad/k1u0P9O9LSaarOK+VQalTrDs+YrCncoxcWvIvgGIsEjM0Ahwb6zhv25Y8OyxrhEJhBGaSILdeWItxqEVRAqhrhC6Nq8u2f0WrvtqtYn9AQsxfKfvId0UB8QEKE1SJOxX0/13SQd6JRYRwCJWMtzUvlYcLJV0QklFMkuTILXZz4+P594/fuBj1//+j/5//sePX3+73r/jvRqZYHcuZOQ0qEQ4UdzkiSGnkEssmbwjo8EO76iJrqANMhLRqsZH44dQyU5uRgZZHz+eta/qJ4t9fa9zfRS/v7/H43wDrxYS+ezurm4FekEvj/V6Ho8AY6MUtfrRxWgBXdEZtsyQygKsStdNlXuSwJYvDBkIcbjiXIek0AupdqqfAS32lqLVqCSlaweAvaDY69t621mN/B764ypVl1/ZIonl3bWxzK1bbcT7SRPBbqCAza5OtW96NfBAurZ1rCu8gwPO6CoyKiMU1eqN6EKqqj0yCKroqpSrVuJMibHCYYUaJtB5b1TFmuQ+hQPkL4lXdAgfKPbV7S1PhJ7zOAkJ2zgAVcaEB/Tu5G6pu295SwOIUdZaXA62nqzcQG/tXd29etWFS5XVtRfrft27OSoFhRtsrWlowcFVQiiwOyIoG83CS2G6ei5C4hlwlFJMIJ2xm8iZ+4FbYsARP05ZsjlkX11xz5bLyeYJryUuNXSQTBuY7XsEA4bMEzx7eg69hZQ+fUYROiEn/mnmC/p8XtojYU/WAoZcCJDIjasBa4zBCvPj944LtXlnjXIJzprWoLiyhqmHkNbIHO7AOC1InUQ1zE+JuKq3cPynnn/0j9frPF+Ol4pHrORaAAqd73CTU6z2fVNGtQg0F7mbeaQU0X11ZVC9QTqfG93B9uTlm52C7FPwvGe02FTzXUAsAStcQgTKbeoz7wXZo1bWzJrtHkbbb7wqNTOblY7mCnSrD3LL8gJ1k2E6aj6mbrXgAuBAIj7vYHVHrmRJnRkdTSA6yB3IznH5JkI4kLUUpQ7dDfM5mEIi1BMdlK4LE6UaXO2uET6C1UCJobGuIMczimKTCyMa8CwjgUhEM2EjkqXbaTyKESHBpQZmpOwKUsdY5pxxrJCFs9fI70wyRhgSJmxZZwwKD1DL2pTRGwREfE4npv17SMYKT3AM/umDDQLK5qbbykcFxPDwBUWzZtSX/bggyzg0Fo2TsoDFmHGXHbUiqNAuMkZtjAyUZY5MmAQxfNLQfCde6aIlRKxIvTzWeuB4GFe+eYeEPZrlcF9j6IyCWs0NtNhZDVXvj+va9wTmd1NaQ1wAcjEkHBkTqQku5aDDkQxSib5UcpZhaaL5LOo2liBDsQVmtbCKyWgWpFyJ7U4PD9Aqf3tDCunP/8JYCD0ozHlFEN1BuPYKAGghQaPFCHJiIBTkTuEC0jeF5ymSQB6HqjT0ZxoPrlYyQblrYHQgTJNq7bob55P6+WMgvM+kQWRN+u22KMZWXwyaY5kB2syhH2R4EA3bHcloivO4R8gMkhDhij+rKUVrgoHGzmRL0ZHpWwNjR+a4d31w5HxiGlMLG51N0gn2MXeSNTnqSoZmUTU8JKkj5IFcvnFs4Ayn114KaiOatbsLXd0FlZtZpjpMEJhdYhoMmJ5fnyG+N+z4DVDIyKKMDQAkuhSpiWtjC+k1yx/x/Pk+xwLMUscewtxSZfvZ6NbLNACotq5YiIn56AZt/BvtmalE9qBdgGlpWAlbwWwifPGOkciCH+/nluoH7Y+mRUErGqDKHjVxPc44D+TJPFg5CtYSJF0NtYrVQSLLjF9uu+wM7o1UV6IUmf50HeYNuAIPmGrEiGcX1q567OvL4rdkGs1dkakVhdRaFrvKgX7rOHaAzcTr1b/v79fzh94v/f7+8fuv8e//c//+z/39I37b+7fFS+hcWsoz5B2/S34FhWRQWlxBrgBhh0ETFDuIlbmOeBDH0nUksm1bU+CHMpnfpQPAAvvHy/HQhz5+qx9HvpwVF/QRWhmv62Ci1q7U8cD1rtxjwzhxLn05M+LHA3lEInZ3iZEKPuNj9a3Za+uHCQVbnu4E4ZA63G1A0FJ2SE6FPoLbQjg3JbZ126AoJXK75lRrFOH7JZd6lb7xBauPDuTmDz5374B44fajZU/kwJwgxkfgcYGh/cFchaeurt46OlGrqs8TyaQodSwfZJHcG6JS2ui81OTStQVQGcJlwUkPnJksU0REh864J6Hgn+dOoERVC0Ja8sTmYhWa0ga2IOyru3E9fa62dAW5MVFNiaqCJFS7caZ3N0b8KAgl+5up0O4mexfF8oAn1la3X8dcVnaUc1jsSGhVBHB4OJeoAJJd4LC2CZrXCYFWpCGJneUiImopU7HS/J2gUUswicsoQaTVHTNNOjwmquUSq9kHtIqxOH7nGcYRK9SKvFN8ZvAHq4lAR7quxBpDjC2o3bxsEPcznRJyv+2f4dBjm7JZ0g8TPz8Mn2H0B+4bMFpFjhXuhrnEiEKn2T0NrLvQ7UwW22QMwloigmBEd0+cvIERI9MB9X6ytvZ7/eAPHjvOdaxcRzLbGvakZBwvF9BxBoFAAoo4Vm+XnCGOkGyNqb01/tZoliW3swVJ2wYIWhYmGHSzXdHAojcdf4G0q5rt0Ib2ydAzKAASoulEO/8gZExiBBBdPZOmVQtKptLpYv6ebPqYmdZUdixC1lmY3t6EmDH/ToIZiAw/bSRZliH4upCJDrYDkKrdDystohEOzXafpwIT6ugatC5SESgOOJv9qWCFvb1hmbzbZx3mKEzMuhym7CUgMvyIOo9SGWyl239yZBv+2SeVMT5vchXsFCMcMxSGWSzEwR3NbA0DJuXJ0umJEDEiqnEPOcWzR07pN2cIwgoOcjaVZD7/jE5Fgylr5L0cWpYXPeGIvvdbFTy6XbJl51cxZoYFAHWnFqIsue8CUSiKQTITsntLSKyMjMgvWi/Mg7l8kuWaH34klP4ZcMuwkdkbEtRCV1/6uLrKY3YKTbcp512ZAB4mOYBw2HUkp0JYOexXwQb1hdUJooC+GKn92YqARqDKaTOa5LB5HYgsIbNZC65Rg7+/m7gCoKAKI+sS7tjZcCjmfT7alDGgOwxT0Qf2YPPRaO8GGrW1y+FAAF17tN+Ht0Yvg13BBDNUc8gZayWcbGfJnBcUv45NhW26MbrNlqwlscOYNM2p9AO0/WC5LDq4SE+SGa7kaEHRXJ4jPzWfGdHejrvawYqBYXmdrGcNOtlaeR9DfoB9e1iY5y540z0Kv04+qFOE0yM7IsQSlismWgjZGJ1wZ6wVj162PT4zIaqqrq7u/ZQ3qhtFYdMayjCFUwO6R5scm5Q63CoHUNl0CJ3H8IwJwqhbmg9nJ3MwWQgTwkamRiUg3YFgFmWMGPW/ZugZrUQa2w+v0YBaiS5zI570vRDCN5CViuHAJrWfDMdlm4z0iQ9KjGhsMOmF1YdOF+zKQ8ZChiK0zswEoxVjlkH1BT13tb1KghOvbYKYMJVPQrTJZcvMxJgBhTNQI9IgDTBZUdqmPR/EWsmu6D6ZwyMEnPRyaWEz3lII9lL0dX1/fnz/8f5HvT8/Nr7/1r/+u/73f1y//+Bvz/1j83lBRybKw1RbfTtve68FP74JJYCJjYRTs+6qVh3B4yUIvTx0IhZVBC40+APxvvEoZGJhXVKxPz72y7vqI+tcz+cVx/d48iO5+IWxqNfA08639iIZnakjwkP8Ql83UeOdGt0IxK2eLpGN9CZtIDoEcBVdORJE7yaZjSFUNegQgOgU9tAybunBQaIglWLvM45WxSMTTBBdb7m+/9EfP5rPwIGRXjcVY5UxiTiIMGkhSEi4WAuhZnOr0dehVSBSRMVBbVNOmz6W6F9QaraqmIFizaVGTKj+bNKsIBHZgVSAHTaGSRM/G6LSHTLakFKN3qxr7/e+rq6r1VBLxasAtyswShLjIlBdXfLiWOV2xW6D6VbwddQM1ejtmyIVdTHIVrPMyqkVxhxRSko9YNEIHv3qTpCaM10jMepcosFlx2MEp/S3Vy4EkckVmSgUrG11US/Rlp7PzJ4y3OahU5Lzm51yJMNJ4lpE+yTt6hh+0zdy21I7jWaE6bLbVtG3ec3IPFwx5Dsd6dOmBbMdIEqf9Kmfme6JUBcs4wgEOjaxJuvGuT7Oj9enawzEbUpHcUL1BbGz4LRRK2akeWU4S8WeGsytI1lhbJEYZbogGsrARj+v97UzIqnIBMclGAsrKyNjG90rn37c6m41Whc6ewvdlntIjN1csztbpzrok0PFb+kBeopdorkSgoUxSOf+OfbzHsb9JdBV6zNxJsbdZflI0wSJz724x5Wktj8jY2rp9UwL8ur8p6CTmV57Lfux3d++2ZjFwwHPaYBhkWjGcqFQZCKkgthaXHZxjfx8isRoEj5aldWKBW5yqQWUyGQAoWpkuZUMtCKeCqVU6aAEWbfjLgJvCrppygDa7QSgU7EiEY4fErRStlk2MnNXEVgH1VrbuZ8hkkexsRgmbpAm1RVsOK4I94buDRTSNKnGAMg+RtHEZ4eJc52sf2w3b5lVhTFxb9Qr7M7Xp7CbY0nt8WKO5mM2GHXTMf7TRRGS3DaN6MmSGGVz8FYUU8baubQWeWA9cLzyeFh9XlgxP6N1oA21+SSq97CrhS41qEZdrUuqhktpKcPBSGc42NUpIBHIKAHMCLd5xZDvZIAhlhtA6LyjZJA9uCQayo5iL/j6GAFbsTLYBDqt8aAQEZZHWo7v0F0vvTFTL4yGy5PhjGA9Jl9bLQxVRHSQhbIIQ9FdHcFGOx2IkpDpyq6Ypg6SAWSQEVHWwXlBZSSqXbPUNIZqrF93EN10jodxFoGJVrDLwW83jQJEb0Ustz/Zt00vNAyaOA/6WR0tyBDEpnCtwWtW+J1XhFEeL76FSTu1bs6DFJnuMMXcA/GnK8UojU0YJnytT7wRC58I91oMYzzzpLpcBiIzvcwmAoOkoLf6wr5a7geuksDMvsVBdBioyVJT3RTukeG2I6FgTVZZPxmkmHCR1SyJK9N7WTSVVnLBtmR/cE0GqihOMT18o5PhddtkAId8moR7p3SE0ys07KXHLMxZRsFAkYyO3eAacRNXlMwHalQ/5s6tdkJPHISbAtGOpFrEefA8M87OxQzvadJGASqq0CrB5TI1UgBS6uoZAaKDCe/sgxZ6AW6k4Np5rXmHsnYzTdQeqROgFGvl4b0OnVRxv9cRV8UDO3OtDF6135/ff/z4/Xq/Pi799tv1n7/W//5t//MP/vq9v3/Xj2eXolBiZ2ajWb24qucripIVjO6Wh6lMFzmNBhxq5pErsCJfUpERLFVHqGqrnn9cPFursULXrnrm89Kz4v3qs8HC/ij98QESR0de3D0rZ0ZdrV29lQcyCSdvE9UOv6OYxg0WgukipgCl3pTXF0LOFoNCOMAd3BfvV2wCMYwstfPWCwuy0FVUV2PPhSRo93Xu1ej1zMf/n6k/67UsTbIDsbXMvn3OdfcYMrOKNXCoJrtICpKAJqSH7pagARD0oJ8sQYDQL4IECN2EgBYgUWoO1SyyqnKKwf3ee87+zJYelm3PTqCAyoiM8HvP2fv7zNZ4IyJQ61gfM1iPqtHQVZddFJhbppUboktgxmAEQZ3KegI31sPrZkVnfBzJaGRIgUaZ3JIEbKNSELSRrHIJH2ufPtnGyAZGRAs375liF3OWOzarNlEntKq3Cl3Ext79fFQVsFWFcLKOeiK7UCgUlMzdHQ5u7S1lG6UG20EgHrHLakJODjCa4q4m0DtGigjSvYFnO08LnrXFuJYoNSMS6kyyFcbdGsSEt0reVIMoBoLJUCQPIgxu0/eHiPRaGLaLzMbgyYEmK1aoFG475ZQU0TXPS5rcCGZGAF2DL/nldvCDJ0IC13fm2+o6UHVpwnzFBi5zYwIbQnJyP2ZboNjpnddbUqYk1fgIuDnI7hWLh6lGUjcyoqtqcVzCM+OZL6YC4302BESxUW7si2wAhVzoKWN3xpVzDSTsTMZ4MAGgOqoVp5jyDV9in4moeJwElIDLIpwOt1FslCHgBjO6nFXTe8KLaBVUBxCoAAtAT0bCBfFaeycpLRjzFaJJeu1215M3xvRvLzfzGUuDI+mFRG1/xOjq8EzZ4TR6Yl5p31dWuITlDgE4i9FibPUI35lSAysAOD/3AkvdSCDEgiq4cBS1W1zB5iRfJaNR5Rv9JNM/RAti5io1M7UVie5AZGuHnSDIhq6Se2DDQemaJdA5/PbLRtCfqFlf6z1nfm4w0sq+IF2V1iCquyNKuCqtpAhrqlz9qwAzc+LAA2iPwZGOUrXhxWIhcLowPFe2wN6aY6Ct6vHfss7vOtQNjPTQaBaugULNNBRQX2ZrXYOBc+EhtmO5kHEFf/t5c+FWhLWZWDjRC5MqZHuIBCAjgsdiHMHFfNHtw8La4Rj7HKmV7C8CUNWi2rQVodo1p2adFYreczhyMZ/yF+TJm8oOzfFN5+9hFMDRLvH9Op9amtGJRe0WEodVEVyhPsvwthOFLIWVshnIk2P3I8KeD6qbYW/uSIxGEeOOXyebxCD7cExutzdRMRf8CztZ0a/z4MD+kdhwzdclmXGh7lS+hRYyrsM7timAQMTCmBGQbemarH+ek924StgK5WfGh3xZWrSabeO471o4KDOHe7H4P+D8c7fc+ylzSKT1lTPruq2kNxXV3blClxLOU+zULA/l4RR8hlCsy2cTyDZXGehmAFhmpBnsHrzHJtjLRHP5y2ZFQQYaYU2Qyv9DCwIHQ/azuLG3Y7UNXVFk1/bKBicAIxClTcCg4WS1ahwODn0aqAwIoKxqj5j2LgKZtiClpIMtSrbjHOxqckpoDORHX6Slk3lm+/cHni1/JEO9zjoKVPAyZ+m6xsY4Mike3ljnB71WCcE+r0vfWw5fGOsFyIZjXLlCNYRHkLF4T9xu5JEE1DuhRgouUUUzEE0mG0RNSIVGdSzR8XE08+6njuqA/TVXlFp8PSWMdUGIiJWIqKAWwfYmsQJxPvfeWeDmmQUd/ezz+eXnt8dPz7fH+zt+fD0//1yff3p++RK/e9s/vOqnHe/VlsxHUgE376jKtgQ/VqTkTz6XyATd7eW8BiKTCuK24haq27p9OLCKOtiKvHXm47y9PfExscln4Nl4PnG+Pp4fbu/PfXC9J14e3fdHJYjnVqe22M8WNTUgLTU8HUZGJKupEoFO5HAmIjIgqRBYVsTEV5wngdNwUcmOlb6gwaBKFJ0PobJWg2l0TNcsJ9raep7NWNzNWyMZgdvibWXg5cGzHrsaaW9SjEQECFwlFZZr+K410BtAPZAHzoIa3EKRN74gK3V/GRx8olm1jvbPGJD4kAtmBOnJ5LCzaoS4i4ROU09qsB9NSFHYrTJav0810dF79wPy7qOwujkEtLpdJdVdhFKqU3v3TsRun8IVRs4sHageQUtBbdSBpBzspHIqAdC+04ws7WBo99XqkY4mGXH/xT6H4UoG0BMZiVH6uv2QoONOFBObEBy0PKiIRWAR5fc8GJyjWfKMmwGUYLXSNTgMWtHgGvTDEAZID0pUJuwCMPHnE4Z2CkNfxRskY0etuQgnidIiGzLQNklOcI1ziDC6SyRTqjDIAoTl2TlTclzs6lcnQndg0DuOXc2QuNFWdVBN4vJc2Q0csoAwtF0RYY6gSbTBNpLywWiDIgeU66B6KYuliNqVQslamWILiB1kb/WyHIWa9gXB5Oxusqu7QYzo2HIkiN2bo0FlEOqvqhGwYU8zB4FXt9zbWr6fZkbUNWvgSmXy1wvIG+XcLNU9Su2LPPDdEmMHnF+d86kyTIVMpIulTvRQjsEa7UFBtu/ECIhaEmm0Njo1NWMttFwEJ1lcjWhj6bYwJXa5nRrPRoYzjIGt0G6RXRWO1o+A8z2ibWOAJxqevdkp2OrpYI1JJYnrGQcnZy2pzaCeqDS37lwnNcouHATVFkl0x4LlwCP+Rcm7gqNsosMUTEvj4B0wf0zE83IO2Oxc+GssEOR1nBDKBkcL19DhOtflmcXon2HEsLiZsNSKg/+DPujsy8KlUvDjxWGVmakm6FWdthAHQ7Eibjxu0MLtw5G3mS8W0qHJWzUpSYWpk2vNz3OKQLdaReWuVjWa3VJBaQ3sDI2gshWHxwt6wBasLbOqIVs1X2CrXGCNkeHALqhWLfe3qUdCZ/bB5dLMxPaIT5LqnDSlBpkeO2U1vkFVei7yoHkpJqxXt+5NaKqVcVk3pnfSUg9PERRxCLsj/RExorAIgWnqicvBHJGAgl+R7yJC6WRAk44sQ5Sery8kOnKe8ZXswEE0sLCwhEZN1ZiaFQgm4noHsdYYE3Jej/l0GiR3WPeiwfWX9pZrTAzFi0KOOKnLfREWL8KndoLNdlJ9RrQsEzqyysT2QN5jaMbYly9jgrWrMZm2pCt7GD056BVIq/PsmJSiz96nw7z9H3U5r9rsRMmcGKQNWkztf7OaE6I6yxrQ0+0GO5cuWJWWD7bsRwpjWEE/G5yT4Ct432iHcKUxH9/HDs9jEl/tLmM3dz42AtWaxPevSj/AYUgwzXmRvyYCjLpjVEa8ssSKEwOIkfyokVdHmtebJBiZernnccO6ARCSidjs1U1gA+jyiR2g0p3AMc4lXElVXqkTcJElWxlERRMZm+IkAiEiXAkyq2krc1FBnBNnIW7VsdHF57PykS/HyfsbE+fzfHv7/P6631777a1+/owff9ivn/nD6/79D/rtG35+aiP2UmRWdtjwT9vpqW1PQiuiAgeiZrtkoqGIplaKYEamvln4+BE8j9tHKcgjz3el2Gd/bq2nvrnpvthn1bH3ybeT61nHF348IlrPar7dwbOSUnWxlIkuqBv11FnGq56IRqDE7jxEZBTQ0MrB6qQyMyB4fCRC2mMdBzvaq3Y4YYTjKtNWU+wNODYa4xXkonlmkBE2xlRVMLi7eARfIoMK3E529RL0OCvsDZ/R/StrZ5T0krhBhOnQRdYu86T7vZ/3WIvPz3V8uvWj1i24qGiVemQBbV9UA3pgnxUdQZzaiHCnzTsR6s7tJF+CRa8O3Rss7moKTt+pvdVEcYL6WGpGsKsJDlVUQNn+hi0trZbV21hy5B9B9gZHDg/XoxsCVE/kXaBR3i7YqtQKmLxFwFH3lB3xCKqCmaP/EIEohj39YbKgQR49GzpjLy4RR1CpFMNkbIg5/AtWLD8a1nIqzZ/Ldj8n1U0gL8fK1v7+tJxv5hCUGMwQRzrsOhFSqMpMeBtOS+PFtnNSPExTwZqTiPLJeVn85k+SWV1htoPwbRNZ1ZNuewlw6VQgRyU7TYNINQK+CC6bmSYIxVFE4TGWsHEOtAVUzkpSMJUutDLmOQ6/9hQFD1mJOaJ9iOiEdJBVM6HoK/s6JStW1RbalhRpyBOS1UZlBGfu9PXP2hDmaBvXsIvCuPlR5VbyjEuZYTLEZ6SLCgT3R43qI0Rrc22PMApaiEUJbHFJ/tEcgx5BFBmBgP8GL9EhdI3LA04TIsM9pDmlV8pYpWu3WxFqKCMvCkwSEZnrRO+CYtdGN62gK8Jhu4ptYwTOFoEKYMOZ4SayZ2CmAw62+VAqRsqLYcAkx0R6vTWn8QcGXorIAXSDkkTGQhaVi92b9t6WDNemIFgph8NZ5aPFQQAnEFAyLaGqbnRQhUkmcT9KTsenES8C7oryaWQSNaZROPyQztoLa3pGeDSLS6DbAdaTtYcANqPnxzQm3YCk8E5pvPsSYyiu2CnzUugrUT0QiESQeev1krF63bhech3Ogl/t7b67wC5RU6HiFcu/Uqg4y7nRY3QXLv2tp20bQ0kgWpmRcMqmizO8CaRaYRJqMrw4cTGc7w/bqig57I4cWdQeBBWBLseeGLn1F+fE8sbgyppWudEUXbWHrvZq5rRNwSMcUfL0yBwtTbuwybxne5Zuj/JSMHAAsEnGq5WSyOSIyJPbjp5xb3lCNw/ZigyL5epyv8gpuOq85Eo5Y7qXgVzWNABUKlRQWnVMAAZVZovIcI8CoxEHww0p1ynSkOm5RhB/SMJ0Qm8HYzKfuUypGTFarvEIctnZv0wTRQepYs4rIRr9yIhuCd5WEz3CmnZltx351jxcv/Bgj9oE1VYPbu2yiJj0RTOmbr+S1aOIlxBa5db4AEX6xDKFWW4jAK3LhmPxCHB6oOHzhBEZswh5uVarzVv4Z2VHRYXd2h7Lr2084uvvEq48EUkrAYlrQ7AR2MZt/EFxb6UseW0AYRN7j+TGf9WRF/POG/lwfCvRzUj42EkkEKj7Le933O9LErKGKwQqbNlVcT7XFiStOW/YYKr3+Gs64GmfinbaWKSpyjoyPeACVRNImnJgYbLVTz2nblUhZyp27J2PR8etX5dux8+P9/fzsV9fv7y+PR7v+vy5f/zp+eXH/v1n/PpH/N17/7DxCj6piKjaxxHlNACHroptACNJWaiEiCj2EXKih1IsVxbhDv3Jp9uf/Pmn/LNfHI/b3/67//fb+44VYqLrvfFGvRdfNjJ5NPno9cyXN5x3vL7tD7luqFc9d+T9eLpnyv3yvVGK9zpr9/PctUEEu3AjUz2dhZ2EGoeIQ8bYBgHoBhhKoqgW04XdzY7uMxiX2ZeGvoRYNg1YINEMqqKdDsVGsAMlce/FVckDygOI7l5LcVsneHz5ufiuKjimzzdRWvQwQRfFmFCoBpOq2mk8dKvRz+IDtY5YX768HTxuwXtkElz07CyEWNtgv9TWwyLdZdynItBIdmVlsdo/SRHspoR61gCbaGg46uilxRBUaqBQAVqYO0CqpUC7Y2W3zzeqasS4ddUp70v2C5o/i+pger1mMcQMNuOApI4iYl0DcC55HhEWG3Gk38ocaWUqEFzR6vUHGB9zL65IcgHIoCVD5GJoIUmaX/NLTyzQwwMmtQHjrp0DgbSUY6A0qbAy2bJETsAFx1aTTS3MddY+nLz4BSyilEHNLUTD7d6TM0AlLkWUBoYkaDOiQUg/lZ6MYkLOFQKKcDlpmBCXNdECOZOUE5RGVSqA3cnsyz5pidb4mpUZlm3pQhmKyi5J4oLM/nIAl6mWIHMuv2AW/C8MjdYzQTQkF+qsiPL1XXCsE9S1ZWltOddBlxBQrEihE1dmF+aIngRPEAmB5v+NNRVHyWG/8yXfu3IsMaCqCDiwDVa6hHlkJneQ7ex6sRGt7S0xOSU2RqTGI25k8KuCnpafjvSEbmVqTuRMo/23qurK11CI3ScI7gdE1VbbJ+RyhokNAlG81GlobiDZPf9WfkXhHKezow84sg+jN4NT/zWfgVvJm+UnxAVcTjxYSZLRSTap6nFzuupWlCpnKaZ6oM1F0s0ouVADHs9XN/M4sRjVvchtxchlI1QD4zEZko+cx94TCX0jO2fLv5FdIAIiRugFgXR8pqMF50a/FCAePDD10GGkFqOits+R+DoelauWmNFsLZC5SMTm6nzJfMFauV4ixpSHHYTUu2NaqD2AX68Mm93K1RXdvcRzfqYmshz4hgCKZj+FnlTEFpKHh8cW13xO6YgUP8FKz1/+oDz2zGBDJhdVT62Qwwkk04dGYgzBqAPZbAb2RB8AA/7Nd4lkdu/GIjfT8jBOwpYy2Wh2urvXX7yjmGiZwZMwXOwFS0zn5xjBCRtLp7l/C9C6AAEAAElEQVTFyIQNdcEx4vgQTGf6YgrtkhTiiBM7uURI3CnTUwDgyCnTn8uRUOz+GjxDEkZdvZKNzoo4UkytJNaayNcOpZtERFdflDoEIdeitFs+PsnuBDfdK0KR3W3FmQLRTeMnmik/0QxWw4XGjvOy7le+gwHFro6JFkVi1GvMWd43KsRdkiQ1urv9/yv68PSfgv+uhBlF5NAkSQ573NIgJFCHFjIFIzQdLTLaklbC1TsGOmc4Z16ydj9E7CkVZGQ7UtvCDRc1OjhFMFCg7rREgySava/kmVJnZI/+L2ZbdaDLQGWOWHL4xWVPEfx0xugMLeIy939R+RKYzYqaiL+J4QGhSHx4yU8f4+VjRvTpkkN7BEt+3nc94Sofx2OqN2IkCupTuGyhzo2OXP7xvqZkzf2glk9UiFHYVUIthjUNqM0FtfbGeUNoPd+Q2I/bwVuveD5ZCTzf3t++PB7v+7X0+Qd8+cLfveK3r/23P/cP7/jScfYTx9EK3rN54RLz6SDgHlHyoCm6qko6VQSdHaRSW7EVB/kP//jTP/uT7//o/v1ffvPt7/7mP/5f/pvfBr5bC83n646j+/MjXlKr8m0js45HHjtuT60Hc5XIg71f33Bbh7BDbs2tjvOs84wv79hPqlafNsJYZQOUYknMYBQKZc1igYggkCFZyFoBViEjOnq004qc29fZwyaWSNjMOlJIC2nhx8SwdZaatXMvLNVBBnmvICPyAD8ex9tPFW+79iwkiipM4sX1n3lMQaoDjC4RkyPu0bIfOh8Q+VjK2xki8gnQR5XBPhEottBs12BBZbO2FbS9dlSQydZWhdDzrliC3NVEI1JgVE0UiLYQWSbrKGyqiw4bKwnU2aEArA2mei4c7hkAwh0D6iW1PQlOn8PliqmJmUFZm2GqWqGIkIu11HlbaC8P6qBNUhaDaQnhHwINxrGUFmhmLGEaOyJWmnvsCFwY2h8GMwOGBSNbgCx4bONX1ZC1NW3BBZaZVkZPFnQMOTRuMkSx59ECFWVckReWLyF9tSlES5yZwfI8zpVjx6UzyUYLZPIgyCZS89ULaCAxsAdqOAUQNJpoiEwIKaDmstT6D2keMP7r0DnfUZpOJnQhSAN1Qw6VwFR4GPT0T/qvIRDJiFumunFMdlI49sAjMuc3SsXqQrDsFRQ24EBZkGrVV4cbYRTPBmuoR2xDt8HFUDCUfwS1Lrv1DAaE9Wt29UCgI3EbPY5FS0ciJzTcHH2ZYTJ13K6jk6STkZjTAEw5JrHQMeiw8avaTTGjwLDYNCi064tbYjSAskYHge6tagknuqzEMt5fDjh2LiBJVLQfuFMV7LIUxlfI3Hkr0G2BN9q/A+ljpajjunEEnQ7ssrzXgTx7DlaF/Iq3BGXYWxyFyZdBTfi6A0sgKV1Cba5U5YCUEfuJFHppQgUFklzW3bCF3Z2xGsBEz08vu/xe9SU3Fh31JJYQkeluAWPbHsYinNfXAp3Q4dF2jkcRoL8wSzXGDZATC5XTFmHh3WCTDCy/5dlArjtjMe88DubKTDTb3WfZAWivBhwiFtkk2xvuV6WdN6OyXiBkooAWDAa4UaR9tOEauRVAQ7cUO5XpmC6LlECig+q0nTdQCFPoHn6jslnRIlK1vY6bNDRK0EYMGhbNg6L7Ps1xqiNYlYwm0KHZORlU5Mr5XmBsJQePbjlxiJRm4IfAtM2S7HRirf3NK4wyuy5sNJtO2bkifWQ8j7uCY3IaoNsfbgjeOrzUFyywH5V3BK9xbN47EOM1jbzQcNCBdRCXOyMRmWYyZktRI5mC9okupNcHHc9rXCcYBRin+Lp5zvRu2Q5YMqAji+eAlRcZFMQBts9gKyGicA5oIQlqg/X2O9h6VJy/v7ELtbt7kAaje0Pf08kE7X0kAUm2HM1JIxDdUwpfcGqCg/eDlv9bnwYC1LQL2deaRZpH6VH9TEqdAnCxp8U4fq8nZbhmNB+PgM8kBdNmWs41lfMHFohJbr6S01BOm0KjbQ8sZ7p7Jwmop8HcqJ0lpbI9xNiCId82ARnmbtGxeBxxf8E3H/L+gUwBbbW8FAGe2FDvuTo3sYztYCW7J9BBJdAhTcbTMyU1MscqAlRiIukCqA0T3lYeNLpKS7u4SyUWG4XnK6S63RYFvG8Q/VC+N/is9/36dj5K52u/f8HPPzx/93n/+mf8+B5fTj4ZzSzGDXyXbjlWOBPb7Eq6wd0r5W6FtGix1wKEis4OVHdVR7yEfrH7m/j1P/3jX/4f/nf/83/1t//yr/5DibHw5bzFs/Veem/em3nWE3pkP97e39ftdsO6U0+I3bGwJUVTHXXq2LWfu/fZz8fzeepZ2AIKcVtCixkhEisbUCS5qC2syEGICuBqbkyRdIpFr9hX5BQV40MLLOAyDjNVgAFjfLW9IyhpqzNdn31W3BYZxbVIhiKREUzqodrvT39lDmrrHOendQQGGmKy9Lpj7iugUS2ysqPJop5xviNDCKgAuvtgjzcG2a1OTylyWqAC3XWIffi2k6Ew1SiRjNcbdyM94pDcXRYThPNBCff+2Ti3geUsIgqNckSh/UBOZYFSQgz4WmhQiEZMNThaohLiCmGLDCRUY9MimYjuGm9uNMQ0do8AxORKZ6ZYADTcah4ZdM4IM5MuaA2Owi6YzbA01VJtxPUj+mAO9RwmodZXiEbT/SMORLIGovwqzfW1NXYeQViIvoJ1iMmc6TVJTfYoAl75AKxGgYiVVR7Lpi2JPpCdgA0EWx0d0onZo9LWY4aQiOpAWvY4kaQChEoEtTxoAQhGWdysq2rCOhALR2QvhHQV19vMCFAekw1yZhCumhQXo8l75s18r5OhFcF2EBGiHfaJQAc3pVPBElgO5TUNADFiFNLoE4QQeXjI/hogoQIVyp4NJpwIAozZYDHaJQTkqUpFy3FNApB2r44T2YLeFLg9iIeu9YHyjGCpctExVEl097j4nVW+AaKdgyHV4rZ53jcLsRXGoVdCTyLVRqeAruqqEKuzsUvlEFhK1YwsdOwnEiUgU63VxSA2u7JEZUjVtoZzIypO0gnNk5CtPiKZXfVg3qK13Wknjy2019iy6S3cUPIe1ErZPhVkQxEZqgjWOIutZPRZMnlVBbsO6DfCUlvWBS1BEJJSh9LpIczeJQ1IL3XbaXORs+05Fpp38CtniiTQpQBV5VxT8dLYzsRoOw8uJHWw0kF/N5Hs7WiaZmvkYWt2LWkDDUXmVbwUFDuSzOCN606GbjfhYEJsdS9mAVwKOazoKJG95ZapQRoK3bASskmzqxKkRoaZ1/DnSCIUjkaH0F23zlgwx9OhaLjWzRV29EOUUMdib2ePn3YwlaT2qdjRcdXuqY7AefYfiCYvW06KQoShhYjRdXrXsg7cFLIvyGntsGkpS5YfWgothNBxhEoMR+Ll6ChdaBU9QnIGl4BuFsAKgCo0l/Ni96gZJ0seDsmVBpF1kD7sQ47BOVzT4Z52a+cmI4hdcIYGJjoNCRRxIKrJWMB9KyJf0GHuQNx+sZvZg8Pbot2i8TfJmZzO1XG+3NZlpuUs2/QBZ6oqkeT2DyLWRkdP25mmzvCidY2iCIKiuqMQC1c8xzC/hjqWp1yy0VCyyvlWGoIyVa1AoJWJSc6K4IWUaI5FC2Z9T0POBElnvamjBgscMEudhEDlxNsLW44hjjYpPBAo/TFdfwKtAgwn9NMkLps9QsyCp2xRjqtzfnGwhey5SLwN2vbBSwV0KZvsuqgLejdQAPoxZKtxpEB1dTGQkUfi0we8fHN7+Sgsantd6WqUzuBR0c48GchK2PT9uxEhW8PbJHhlBQI8oMODg4EnE4BEd/i981pYu4/IJ7YAZlW8n8/zRQ/d34V19qHW2yHQ+ODenUfcXp+N7gefnWfh57f64ef9m5+Ov33Hfzz7tx0/9fHOU4f6aCfoSzX8XaZxkwleS2vf03mOe3PdQrU8yCj7LH048fkL//0P+p/8g0P11OuP/+I/+fv/5b/4k9/8/v+HvnF/YvYT9fPiHcxnHMENPB/99sZ14HjLtUCxtG+74368Ld0c01P1LNRTz1d9fq99xudnP4EH2kkUohRJbGdqgapnM/04eMilrLfagMDiCfur94GoS6cLWy4IlcK1W8JImxuCXQA9lhRcVXDirs7XDRxx2GmslwO7W59ai0ri8xGvhedZWFFuTEyTalVbhGzph6FgcBM5tT2QeHYBLm1XWetB5SZYZwOraWVEqf24EQ2nv8uZDgIeVRBVFELurx3/ojXOKxPaslTNtgcS1TEnvSYFOhg18gIV0ngK2FsZclx3cLVVI4go+MpIly8D1oP2jHqm0GKwGY4VjYS0U2EHjFUaIKI7MkmAmazIRDDYAdwi7NFyzsMKUzdtcEHhqBghYVF5EJxTZeKPy7kJZsmp7nQXmHZHhmCoWAZvFrppS9k1QRqjNPUYDkqbQt7kcHyU+lBYbsZulOENB94YJ6HPKpIdStkd7kTZkfRcwt7J6uymSJS/dF0clUhyNK1Wl6BRTLLkEOkEpe5S5iR9QBN+NpszL919e8gisQCTZ6ZTmovajXUQTDICmZ1xxPJDnUqstSwapFPjO7qdq6AWdLKwkegt57zW5DkALSyGnKHEqTgxSrTSk2QknegRgqIdpZqQQtHWouIIQs7E6IjoK1ghPd1fAzDGR9ndwHIbhtdYe/VDKV4SGIvmoulaelFsZ3R3o3Aa/0YyrKkNqhc48tRLxdPoPiXsVgjau1PhiWVZ94QSEjhWk7c0yNelw9dzrNvFAqFR7Fb3xuaBrWJKJdSu6GgVt7CyrkQcB36avbJivLuNJfcGLCXsjmPZR2FCz5ktQ8I1luUiTttz+AZiNTrHdpvNDrVmni465E69PWwVAQ29JNI9BmKEccex/HRDba7Fgw+DVYX09Z/m+XQF+AxrY2sLcKl6trHwr4KRamW0xiszpGOwEaB5QgB52HGgECMjSomM5GIsrjuPI48jcDAufdVyWHkaX3Sw5WE3E7u3rQ9wggO25VBWjznAMtHdYC4MgYNuOfJLVKgCt2V5UhCK1YTIhAUR3WQiKWwEQkF0r0Nb1oZZjaNSam1WdvniWtU7Ir3xdKfzxS2NE6FOQEcQnfU1qliIZKOnyNwmLMDpzgiZGZcmhEkFr6m3tB0Ul7bY12pFp61fY4FagOUSnkliKO+0BRZkFGCGVVaTmFpBkC2zvdGk2MkoRgZLIhvgEp147khpxgptxaKACF8l5EJGRHIdC6kgMpkFfjANFsGsLW2hubtqS+UzSFVgITexVm/QnecGxYeGdRqMVoaSGVTHwW4kS9b7AVm10TgdKOlR3keKPwSgqaPUW8wQdygkojfILndU4orHMWfk7UMGdOFG+CIONCj+IRSu2j8hEFOxa444PF37DPH1R1laZeOIN1Ej+qW+Ij8Mr8yahcuY5kmAqWXcwmNH0iS4YHOFg8rURS2HNWvwWFz+vNBkVYmDXKspjgXIOkCf3V4FLA9BJGz/JVxh0Jsc49yK+vBpfffd7f6B50L0LnmMcBhHCtUFCvRuFLjmmKryAxktB+pOPVUsMcMek4hoB1vp0piAnkbV4Y4mHAuqE9p4Prrfnqh16sGTuZib1V+kjmfjpbQKtaq1zvc+u98e+vHnx+9e64ef+XPh9U1vu06v3OZ+QrwEcESGystRBptLbEa6XVRgQasrsBFHAaulpVP8vOtf//Wv/80/+u6PfvVNfHn9tF7/l//5P/tv/7//7m//rlZ/1O2nPvOJOJ/Yqx7vXHceC2f1861etWMXvz1uHXxRnO91r61DQWE/nvXDZ/34pT//pN+/17t0NnEsGnRPJgLuuUXRWr9GxABPiIHWEVquDxp1aYzHlHJzzQxGq1naBydlsmgSoL8KyehNwdbJYkVnPh/7CBxH8jgi1MLy6fbhOLQfmfiSj2eXZ04/kw3m8ly0B4UU6qqH0gXRe/9q+1McORZOkgBIdA5JzkD1VZRKhOxKID1Afg1KKQs/YTk/GVQ3aocIo0/kWUrrXcxrNsJyfkc1qvyMOz5QxRWIimGvJGtw1UIRFg77kDAKUcLdd5VsXgMt+03D+TNe+yoHySS3O2AQysgAFsOHkb/9YBrWz1g9bW/y1eT6R1mvCIzS0UCFhSMADV64ZnBeVACCQUVDMF3IkS4tLqnjStzRiPVjTpUJM2yllSWsFdndR1Cy2kGC4FpcOiSs4R7haV1BKO2pEoAhGBqDw18KJJFqtmEROjIf28WjwnLlCcYR0J7TAhaPAoIyoqrm8GlH6sTkfRYFdSmUILij0WXRFUd9GbuxELuYoQ5zpnl0rxWiFbpWkssVnUpQkUFyPyMKcUODPMcgP65Bi5GvUYgOnmvrhDsid9ZyMGWM9FQdC5DF/gqShqSCbrkqNiTHUVrDjKjRmmjgeyADwGKUileuH4rDTdua3p6cwxq6WceKctZgF31eFAgonuAhJ3Chkp74vlKriWIH8iYSsZJuzM6IxHGs4xb54RaLtxeLtFipHLpezJty41RzfUW2q283BHa3F8FnnM99dp/nqTfs3XWSJ7sw8ZbqnKAywrY7oVcH0GJUlzrS4u1GEsuiXDbdM+IZO9htxH+E9RxbHRdjtxCL2tXTjCA5Vz5yWaDumzyFKjcfTaa7mXtekgGRXVicIi+PEIObj8IeE07rHRYjMiYFZbONbk4s+uTQBsOxCaCht/ZgSecZUkRWkkohMqJjdax1vEQu5kIcF3EPq/3HOVcR2skEqxAMYJtmkYPSgcSixQwnnDOSqhZX2DFstxYS6r0ywFJnC5IBsOYiRRUryFA4ccoAEMPYV2UHVeoWSl2ngD4bzh8fWs2B+yYfXLPRysqR4shumwK7F4Iro6kb8gSixfPsYFRpIinVEQE3khNX055RZZQQy0+HO78yYuzr8fV/rHFMNcCSlrMHSP89yzec2uLazgpkBqs9NNrx7eBLEhSyCAW21V+CyCbLSctmmqrFQ4CC5XB+LPLIeMF6Ca7+GphgsIPB5QDa2+pGdd1iobRP9Knd/dytE9iBVq8SogMqBItwVlmSHTc2cBwhuxrKYuzRrjT2rnYZXaena2os2JUeaYd8hLTRccWElSswCq6RajvcugtcnnxNjYgMQMuOEMHPGUPUciAGt5rjBI4/zFDOXEK6ccB3GHM1UtEDGyiCHUKtYdecAGLemQCiA4fJ0BAdL1aiZ/KhSQypWc0Yq6stpvEhkD07gq7h25KGUAkxwjQ/cL7hzONLRJd4xGjc6Hi4rG6oNiNwBD58x+++v90+BLFvzScodjvyE6ZK28hac3GQkAFhMQRvNlyU7eTdBQtSElR1LJMnXpZEChPVEKgyV1KbCGbuxuvZb0uPR+11e3s/C7fbXbcj8WgK59kvt/2WQO1z4/1Rr2d9/lk/fonfvet3D/6GfDBPTZOOkpHVIBjblgy/GdGWYgruoWSgR1TQlnJ1dNgo3L2fevnte/3f/tW/+7P/7F/8k0Mv5+v/+E+//1/9F//4//h/+jefX3Ect9391nyr86XzlliNl61+xrPxpjMDwP7YrJPx8gH1PJmlo6W3Z/304/75M358ix8e/RQeWtvBgsnl7pIkQtGrJfOF01fWiktL3QLUDOWOTlpFPqLX1cN9h6fuOIBSdKHRkVGsazbx1toDozTiwK4OsJ5IEFkh3u7RZHXgO+1b7J/2oWwi66jdqm4VIqPZLcfYqp2dacnnFIjA0mn7V3pgoq7WairhC7cGN3bHBkZTmBQQHfLz6MdIhLIXoqOzoWjvvAOuAp1ItRFDLdDE1NzAsrPRHSoxICiUExVqbbvUHKEI20dJKAf5DMezzkjgrTPsxTDUwzZSdIx1Q5FccoC6mJGttUAikAE6kP9gjCKZiNhpNsyXC2MCwiIgo7seBjxpy/16FWXPx1SOwtZDTIFgE3T0slckLCHmtxmt8+AlxCXuAXzkSAouocnkXDxYsEcxYjWaEDOWWIy8RMizqhAY1sjEiGFEjMfi2u0w5Lesdi4EnX0ZCtSkuAC7RU0IR0k56UHmGqMJ5CQEafyHEDs7wBqTQfg3tIZqY4fSufwtbGcWRHXrZHIJrWBkdxmH69mOGqkQ1fDKE6UKcksMoK7gJJAZ2IZTl6LC+qnEnYyDsZYHTbr/A6xzo4FDEtZIeQghc61mdckm42r0VZHGKa3wlmqnpeLCMXeK5VcAWFHl77bVlxaVsmhpqxEhp8EFKaV9bLNNElnu5906bzsjGDi+44dc65bHHW7YQzLuwWgw8668ZSgRpxf+W5Uh32iVhD7EWmop2lK5FRnIlwUwUkQUMrB0Uvt8f9vnO56v/fz5UU/s7fGudIZCjm5RI3Yhb/xqLDY94jWux2e3EE2QSzaqcEA3tSIhMRs9ugp3OSAyt81HPvUi5fAMMqDtRc/ygz4RwUK4Ek10CEhOQh3cftkFOwvQivyqMQ95xSbsIbRu4TJFh1TOh6lLHWCZFwKQg+F09wsUchBSLNmxRxQPZq51y7zpOBi3xZxuYaoRi5Ou6RwKSJuZPS5gWBoiY9QdahxUId3MBSEzNFVQbYnWZk/2bxBRYBa0FtRX+WPSvIk/gbC3lNYUdTC2k3wwuqizGkgTYqYerHaKiEYtxPyIB7/GMBMd8aGjLHuWIgKMm/yKf4hwfikivL2TmK8uSKHdhwkJa36UujqEHWjn2EkaAHVol/lNUF2iFxTN1uI8mHkYi0hFl+sIFGYQfZ1rjuHMsQ+o6QZTtBgJoLhVR5MRW7jSfhgr66jjhcdLZKpo4X5AykMZobBWOZw1mnPB8ojoQ7m1KnlP7f26o05JUeeOg+qcyTaUEVwZq4PKWELkEc/Hc5pkG1100Vt5J2g22ne9mwumoi7Y3cwgWMqBKdXJxFHYFmjFRa0ADnwtzvcCXfc21JGJUcT7SZzoAl8Ms/STQ7JBbnPICIaLZqaD3MooRAKIbDZnO/+qBsbX2SQ41HlT4ysqmXzQSPgk+oMbC+FYsjqGecCAoea/hYnpqMukNxQlYaE3hIg0mzXXO4UiF9lJLvY33xy/+tX9w4taG5GjsMJoqrxxbIR2FaYp69JKoxUmXiaDUkVzqClr3zCYiseEVix2xw2WA1vLRbCDvZZOcfcJfgZ/fNevkt/svVD7vapw3ve6ZQBH5PPZWt0n0f3ldb9u/P6tfve+fvPIn7oKPCEmsJK3ZnLk20YcGJffAoScSsA5i4yLhnpV1pKiwCQY1d1dnyv+u7/5/X91/7cv/9O/+JPj/Rf10//in/7Fr//j4//6f//va31qFc7H69kvT7xUHs3XZh69PsbjhF7Z6H3i9qLHa+ancA9gdX1+P3/8kf/xN/vXP+v1PB/7/nR6woo8KEZHo69YTciZcIxg8YK1rMtgcRTkHNfVOEOEnNHKJfPZ6pxMR46LyZEKtt52CKqIpKiS9CwcfGKDayFiVZ7r5X676fne+8CHuD1v1al+E4WCHSfNViTHi3iJ1S4myqCMAJNihqdsueLUIaBtKfebVBxbZ2D0jR6KWXJmFgko5yymwpy71xkNZjd0nQykpQtjo+ncfpsN1EqH+AGBVEd4d7e26LqFPbF4KIAQgdXkMm+X6c1qfh84RBrAwQxqgQglYxl1OGhKZB1JKlfkWAgTGkjCKlnZ5ROyVDSAtvfGZ6m1S0JQu5mNDWVwn23uD26g8wdodRbUs/H5EAp0Lcr8oJNYFEGXfV7KRvyBxvOYONY2x0GNszVTaIYbAxrdDkwgqGgUnAnt/cJ+LBGlUUXkjF0AMelnyYHH1FFf6VnfpmjfIR2NSJzEqNsvbVFNzptdj1IB6Zy3UBRq2R7os8Bi0lB0YlctxClQ+WCrtcAQj8q8cj8JO3x37GQS3LVb1wJ2IpW7259e+y1wJswel6LshovIVNDVwgkU3cIasn94rRu6yrkz4pUjEcqhZwGgGMyuThLsLoZ0ZSfRfr0rWMKThLX+gZCp9JzVrImIRGuIChTaPhD/T0udBEsPRSZOzxzvyFvc4+M36/btS9w6Y1nIBBeWBBAVIHID7EeVHHHWVKiAPu3u7VaDOjcZOk0KMYN1Cx9PeQCHubDOJdzi44eju+oRjy98fNnvX6o/6/kwD+cUSHAFcMx7sA/ECAmcEiMwE13qtCm4W6GIJfbabcobALrz0oJ0GUKoyVpg06C/817hTzrUBUDGSF3IzfHrmpq3o8C+Kdq3E45hxIgUfDGDw5vSWenaLdpjaQWXtfSOuPApQciqbFMhq4Q8sBZ8Id6Pw//CyIWFuEUcjEUcw9gxqGrEYtV1CSUceetTQlTL3U5ER6xutdOtOBiVNdfdCCSOYomMYkeTwurVKBGLomK38xAm3ogRVwBAtFSqbMtqsHvb5nvuqg2VUHEBS5wMUsD7Xni6WbbX5mi/ksEkv2YLy3KiQocV9Wr3qU5h0kQr2wfWuxHmdwE6+VJghnwiIiCEpG3lsZOuEUVyrDtXbwUumWIXVhjfcwGZtAkGIzPGhGZIyXIv76QUK2Wz+iDsNjwjj0KHO1ECmXmsOF4i77jfHO4kawtit3IpNhcyp36nPQMYoWMHGaVaTFEb++RaYoaeCGS10w2SYC5FRgSSAUYuR9d0HGlhDlPRY0grR1PbVG2Js8YrZeQ4MzRZJgLAApNd3UAyCtOtLQYnd2o8X5idavwaX1sSoSuP3wnToHJElZ7fC53WB4cDpQUpAxJk3w4ZUZL/ntcGi7ViJbeQKoR/sqbCNaXVGZQsSGVPkZa/q+6MZZODPKGNktlcQw0da2LWr3bMck/bPgULnSPQFkFoUrCBXrYNMQ72pw/r+18e93sA22XvZ0OTf4pqdFeJRabYTJksHL1jgsqtArcPMNpGlSzxgBSqzoWhM+xOj+B2r7JNlw7B64rgIQncdTZ+gn7Y+vDQh7jFWU/prpVnr2NVngic2dpnPeP50OuDr+/5mzN+wPPLjndzRtl72dodCDHNuhoTBUhmQCf41ZEzkTpddYaOSMyFSIl96ng8z0+33t/8P/71rxX83/yTP/2LX/Kf/FH87//Lv/z59bf/9X+XyefSekb9vhHaUZmx8OVB5qfmFqr6fkSe+HAroo+MZD0bv/s5/sPv+Te/5u9/7ufOHYpQrDCCm9lZxyj00VBjq4KLDM17IQsWErFbDXviCU7J7PY7EA4j4+xl4BwiuhAbI64TBQwm2j1vBaJOy3gpsHlmBlblOm4r8sTzpuMD88YvPz3xY8cZoVazDrK6mwtsIyczBTpyclKdbdVvjHEYmpPBHUOI5DXJT85GsHFQJ2B9D+w7si7SYo9BvBpANja1aIHy9AoJsxhslC+DRLuE3JakIVAC4tb281MIhBqObqMcIGx0Qma+CSUSWWm20MbNBAWmjz1mIoNJrUiGFlNLoVjwLSLvBmMPItvdwxBtYECoW0GRV2K1iYnZmCQrcXQqCPVWUyiiLbYfL4ZHFOuWnGPWjeYG13LxMLozQhfwH7AtjYNtODpcI6Ulx1thsoUGAdGqsO7LIbHeFnIx6hg+UNwF2mwHFoIOk8G0doxL2JhENJitblgIbMuGg+gBMHo1rXv0/7UHWUYrJDJEBLEz0qtTRMMEBAl5VJOtFJC1v9t++nN3s7KTWL1P5QrmVmOlXJMRR5TsD2ZvCqpmP6HYloFdSi2NxTwG0QnQsRkriIzMAsEMHgwyIgKis3s6QnLJERv0U85mjG2iRkdL11wbAiirPyz180Kka7AMCrFSHconQEffh1txd4kQZPm4CpAqhN1W++99IoDno0tP3PvTN/npl7fjl5+Ol8i7wK6y3TzBPmZsXdqqR1e3TlXj+dy9G12A9q5AbLnoN0BGbYUrZrASKtRRkTgUuCEyl1Msblm3PA7lS35YWi9Hfjj2rfn5db/Ffio3ASfXSTwoJ1vDxQW7m44McZxQayTUWTRzaf4JI6s17d7EKHBd8IxlbY+tf6Sz54x2CkkU6Do9Wb2TRjBwldWNhM6LPNs7C67oGqflNnk9t26M9qPV4dXAyGn19IHTiJ2dOA3ESAeaElYyVkRWI9YtXW4dB4HOtUKOs49wepInNsUWhAoGu1uCupXXOTjOP7BvwbJBIZO1nUoQo0knVgp00k9XVxIKl2FJUDVWDnoqMxCBtE0jEf5gC4Vu9HNr+2THboIFu7DhhlfPemKR4Za7grzqW37Y6uUwl/aK3NozQhU7SY86Y6gUkQTRNd90WjhuQThH1w02SxTaAfVsFMvlNnQbmP8tbU2EIsIp+ISzQYHLUquvCtfeK46xESVH5z486VeHFuACyW6xcgWrGOmwdQZuL7nuGauOF65jM+8esgnhFiFkePwn0JmdOJQLXeeemyADUNS5O4Ot9Kq7glHJNQUJAWSsUEY0rz7G6GgGK3esGyqUgR2xT5BfK4OJkKzBwxXDaa7DCbAeDG5+aX20kW6zNzpt5dx8LuprC3NvQrZlA8mAMce4jM55WJygwHJdfDePTAdu0voez7vdTGdhYmLHaUX5qLLLTmgTRITzMpN27Nd1eNMHMQ2CHeOEMXHp2FRLuka1Ns++pQZGHn3LNUodLogUOPRcAFLZZmLcj0Eybtwf7vH9H69PnxbXToGnKltotELomrSiq0gZ6XAYTJ+auoUotNpPnAuSAuEzKqLayjxSrVQpogorZIKFI+mSIlZ1C9pKqKP0uvnrwFr8RdS3S2U3YsW9+rkUkRUywfv65M/v+N1r/77w06lKIMlFZq6EDos4o7uSGAzRCrLmhLr6U4Zr5OjJq1pcMjLGinzR7l2PervdAvUv/81vv9T7//ov/uFf/uL+z/48/7f/xd//d+8//fBXP+D41C/r8V4/oo5CrCKUX/QUvi3pznOfL/u2b4riUpf43vXvf7v/+7/Zf/MT3594Is6sXslE3EdDb9k2yYioEwjFdJeZmbsQprokFbZhBqeUNaPKjiRLNzsUVtC2+6VClAlMWV3UAi/CpOmdlyhIZ2PdmSe6byc/6DjWui3cVXd8+8L7p/X8uN9/2OfneFRzb3aEWE72d7rxLka4dmwGQquTR8QTWZgSEHtnCmG5k0V3YG+R20I4J0RbMuzMhDAXXgF0IqprkRR6z0pnbowNtVZkQ5rQU+ctSc1oQW5gAFU5GVvL27cDV23VC7TSMwAiFa4RubDelerGAjOCB4+pPok8SEZSwUgOzOvoQGcfSxbVIqJjQAVh8j/EDD8VHkX8LlWbWBkm6yq1JdXOurSmKYDNQg9bb3qFmACZUDRqqZzukMYMB4z0bmE4DQZtQpIjNFUTYuru2wY879PFATBfSUE5FZOICLSEzjQUQLUWscvzpiV6NI7GAKaSSjnYKdRYQaEyJr255OSgjY5ocUJe7Lm9gj08TxasooPhDkS0JHQw0UWigGwVFTS1sXFyixF9q0RGqlEZKBYSngMQnSaYLVOQAy9NV8nRai0rckjatmAx/xy1K0UcpIv/5Ggo9zyYAEtn54X12F5ax32wd2fAUiB/9NqIYHcj7AiEg7FzXGv2zJkCDNxAEMutGazuTHaHLcAAobJmJkWpnruzsQUE1jd6+eXtuz/7+PHbD7qLpd1yZEc3Q6zm+24in4/n87V6a587Q7WhZHar2K5eNiYzBjdovGxiW4jTKFWlQD4lNHonyWR+uH34mMdHxGrc4yWpxTjWqzojt8HyICJQpU5moVGT0g6ucI5Bp6X2EZ7EVB6hMbkMFpG5A7TbQ18XEAzJIB/UgcOQqV3VkawuSqXLJNlAl/cEI/AYzY9bcC+p/9dtOKQCMyi34DpTKnssAqKEcG6TPcgjzxpNA0oRXe5xZTDZkRkHGsgjY4kkFiknjjU9XLZFBkZkjRtVgKitzm6oQhpyzls0zCuFjROZbE3W5KTvxMgjhIzaGB3G1egHVHAZaYQ71AZjmZhZerDeqmZv1cldhWdsVTv5VH7uiBLQtlDX9IN5pC6XwwXAUqsCcZUkyv0xLaCIaYCnIV/Xwha2XGAnkYW2paScgOm1rgUVul0CizE9cEoLhkydQIV2hIBGCzp5DRs194RBrXC0RUUSE2Q2NLAAWWbCgNRd0XFFIVN8GkVgaH1YL/fEDSsz751xNNWINBuRiMAqMSpiMeRUFCWxwzXGVdayKXiwoeq6qUOxFT1dL4wIBvKE8W2BixHLpWpcTDQikEI6Ma+is7arNiOEza/amV3Kw5IBPwGA5eUVXEgH1m9Iu4brzIRfCt9JNaccgguNbE6CnEbZc2QEgwk0UlCg2QpRua26HhkR4nLiW2A1wFsUio7dsOjUwLxCqa6O9j5m9zwu6w7sVFyQIk0Aua8XKQ9LXl2917CzuYcEjJEE0cT5qFdHRcupKhJMNNjJiAxwkRmBu779bn36cERu+ZI6iGrVxWhCErurNNlztL/OMozyt1pENK6An6RF4oKEKmQ21ejFcOVMR8Z2UqlHPW9fPuU6aFHtMxapn/Zen6Oq9/12r8pcR+iZhYzDGDLj+cAPp37zGb9r/FR9hpsvpANOqg6pI0UtAJZ/QTGpJpZRkVf62AipGqWdEVnCogo6qnZTeHCjcXtZP77G/+vf/fz46d/++h//6T/9kz/6z/7h3/vP/2f3f/n2m9//pkuLiL3xw3NjLxC69Tev+fPB2sjkea98L76uXnrd+6dX/Yffnn/zRT8+8Djy0YEl3EI3IdJJ1nkcI9YhRuhHsexfD+PdfpxY6MBx7oplwNH4S6QAoRvKBItAUiCFxdhbLjMaCVH4H7PKa6eWsXoi1FnC+1Ko1Th3ffuyP35cH+5LRz9X8kX54X58PN5+2PrprLejHcJPhno5lyQijCb7PJfLs9qyMP+xS3lpgkRYh4zMOTKJYHVwNYoN7qD52WpyVPZTO1Hb1SxRMHrmU3iDYTJ/0w0FaAStuI0AYoTyDYDpM9vZhVQyzWW1L+lINzph+jQcGGluIFakIe+IZGSA7CFEKSanYhagIpdKI1l0DHsHVEPxxSi+GVJ3URm0udZaSEun2g7angZSTEfHggrNdg4N1IE1uihL4TGi1GKjeiExUQYxRq5mh7Airzx9f1xTrTpnttzA4Db1wZnhdGq4L9nvegsOqRmgBhSZFxKGZfmPwoiltVcW+ltN1n6X0cOP5NcMUzCaQk7Ore9vr28OtxbJlpJgKEpCYmvZnuGoXHXNpDcaS4JdoZYy+tzRWb2bncyA9qKiCO4RKvTOmYTSyduSq053u65P0ztKdBmqU6sRZIHsE0BqbWAjFvIluypXdoMHjIKFad7rS3AUEhBrcXdnNZg+zzq9QqXfC1uGJyinhTW0jXId4bg2OH60NlPAyWoViNjlRnJGdVMwlLqhvMeH74/v/sHLyy/v6yOY+3y0qvd5ROV5bp1nPXs/eqv2udWtk4xkEpuxcDKQQSqivfIoagpiOw2gO6/w7ErmEXe0FLmwe2evha39Xs/n7vc+3nC7IT9tJNfHuK2Ddzx/fugH1XtqC95purEu3S5Y7HiCtyj72xjq7ku1aKQPGozeb0a3hd2IgO2hsutTMSW4ktihw/J3XeEmMOZkXyGj7XMutODMJa/3YW2eXFeX7DljpqHI/VGW6wo9qk8TZTPmUpZTos0wdDAWojKUK+LO2y3Wwaf3bJefxSWvShc4MTsUKpUFb8D1s1XDZ5HQZYvJ8IPO0BfAjOqwFwUEevhQN25bAH8cbFCNtBlX6OFXOGg8qRa1fDArUNXqUFefKlVtulSuWwNOsiewMGD0XaFEtKa7khntGYTtXWBzU7nbgxooMCbANxtAn+4fMH0taJXqWt88zkVIneq9w7AsyzjVBaIaRm6IoURCOzsEJidmjW6XFJMEDcKDbSMxA8xFjCZEcBskRv8Kq29lAkAwPJENHivEziPy5bjf47iBoXVLpDdB638ToQhEgofLADrzUHfEgpddaQr/LEsunRX5cfVJRmkNV0HmPKe9Il3UQOfCeKmUwKTesRd4kEdHxHmKK7tap5CwRS/lAMWL1m872KPTgZI5urfSQSpJRqPlUN0Qxz4VBNM+38xmkwyGDT6Rse6uP+hWsLUhnQhAO3TsVrC/2mxn3IoM32M2vdBMUxJeOWFDDpwKoBnQAao3Ipf20yhHwIHWLS50CWmyfYpEkMXKwWTP67p2SCqQxvuc5aCL3re8sRg5fFQzYVe3cunDEflNfPp0X/eVrNK5wWRgt7C7o7pZTnEbHwIFZMw0Jmglyl47C68n4AQbyCYTm4A6RDbPKJAxL3WGBbiEaz1Q7FB2ElVQrAjUqTfg98D+osejv33hS5QWmdHAygp0V7/u9cOb/u7kF/UG++g+GLcjVmGJR5YZ3UmEuVYNKcY9mr4HuzqXoQDTGwuFM3mUGUGfUjwrC4/9jhecXz7jv3378a9+/8NffPfyl7/6xXef7n/89797dr3/9rlDzydvWG/q2MFWHf1h4yxm4lYidfI8q35+1g+v8btH/PCIx6Fn88ziEXHXWkvZFRhBdfj0svRXvbMT6dmrgdYSSlIKjc4EqhvAsou9uxlEBmy2VXLIJDrEPh2PYYeojMqb2mJ3+3zqUWt2PISoozJTP+z9BL79lCuPjy/9WsUF3nD7uD59G19+93z+zDPx2C0FhCr7CAPQqDM7WohwX5Lg5ZotgjvyAopMQbhZNx0i6wCvExlEdYMNprRSOK905viDtDIJ9gKaXcvNpl6ubdSCA8EZguO+q5GrfB+t9OMRbnpHZhDIjBiSPolwdCojKXGtDIK2oMQgfkiCkeFmw/R8wwxTHSWsNNpslYZzAX2JY+SXSZFGa2wjou0/bXgeCRUs+e7R7Mj5BWjrBs1LjhnNQkIAja92YEj85//8T2ZIIUJUzHBhHtaHWVdnwig9rsPBsu2BtwTCkhhQKu+cozuy/GeyltAQy//6kUGIDRdSwmpomeBAC5SohIopFKckxdJjMwOWHeOyf8MvUltUZhWCaVbaA6hLW+XLV3SjLZUFhi0sMQKwZrKlFYvesIxrwQ3A0zGE9Hwd4yQZIA6T0OZ8qYZGqAzZKB/I9JLLCHBlJmLFcTiPOpjoMOWqURsb6HEXiwfHRpfk8DYHLZX7ohQZu0kE6/TUigCWIoNgZsSx/dyGooq9uzb3ufXo3ahdMGvrtNNakXt9g09/cvv2T174yUpqVdd5hs46X/X8vM/nrr27g43KXGwkp/+BiphjwMoX0NhEII7ullNm7G1L8yERwkkc7JCdmbRIu5s6ISC7sOL+IW/f8v4xI7X6/jjr7cf391/X+ZNKymNVPTnhrr3BI8hspv33nWQiO0Q0lu8uXtg2AVeMhGVioLZJnW0Awgug9QfCZDCxSzLHvgdkq3F/gNryxs6Rd+eVP9+XnGF8+M4EMYICWb5WGMqHEV3E2lFmExtsN0+kSdEDuXS85HETjzzukcGdO5FJcgFLa1kTn1/JBbtL7baCZ/1CQ6qelkmFS/xqYpImJ53NLmcDhZqMbcEtfa6Z0LGYe0u9geS2kGBFO7eikd4uJniEZBQfaOdp4cTeXeVYpUkbdVWm65s4EiDDqC1kRxETAzAfN7O3E4uvfcmtzgrYGWuuNNk1cBB607pY45g93uTytLcHPNXsLwewLZkEw0hOk2lJ5QoNSLEDF9Ll8Fp7yEik219Qtc3g2ELqd8mlA44ApVNLu3IFhFjHLQUw73F8XOvWeZCRkW2tEazHoJhKR2okgo6IykSFrf5NcG8LTDfZ2P7eW+DZG/Y1Y+4WQckWCkxJ9AE2VTKqvfV831WhRhf07McTfe4qdTcV3YxsjfQG9rbVntOCyjJzrzToPu4BEkLVaY4KowsGOPRBrAh0rsRSLPgYr9tGxbyoEmrye/upsZDsSahDO+ijy1OCS7Q3GXP/sjS4cqOchN3BUJil6S47GreZdAdUpsrEZ1HZA1iJamePQc1ie4Emv9qGrP4wrAO1b7TRTIMkMzY62GTzlswbbnd+/HDPb8+P37wEdntW8HpR9Wxt4TqmnJFgbGDceRhOhV2ycLh7rJ3axlQJeChBhxQjRgPQTkOCmHKAXSQzsE/g1jihp+oRejZOBHVrfpv7fvBG3iLuOXHrjEU9z8KXZ3ze+pJxNvpGHtAhfWAe6cbyCj9La6+d7V1aAJ3A1NaYBiTFmlZZUoFE1koGYt2amRlaYeZdmWtlNALqgxX9+Lj6w8dv91v87nO9f9nP5xve4sPbuj34fT8OHR+zb9236LUUOLj6dfHLs983X7e+nPunzTPysblv1Esgg0fGaq2KlRHZ6Xoe7LNtUEsZ90RGohv+ZbpR3SelonOYfQF5cW1r50QlBbm9SYVGmc4Roa62Yu6iMye+3cC7RKYiQ4qDEZFPLnz65uUX39/XvVNrSyjikfv1/fHO52/q/cfz8bm+vJ+9uyrVJUHFMoXqxUwY/Z7ly9XmNx3peRhXmCTFTAmdlNJyfk0UB9syWYFghV2m6qbAAaqvvjAJvnbBUdQOr3rCqfgFWkIEW596hC/pgIgL3EoFI+EKJs5/1dJyjdSSKtIq3ibTEC9Nlzm0cXaHsjLRLidYjDNbvkXiZv91DfHDNG4ogT2GCparoQA5yctcswfkJsL2YP8JpsHMRV79lr6ulMtM2sysUQYehpAk2UWsFTHaNDsvrBbwwzaSZ4gVQ0sawbE/PZybbSfCslfPf3pcdofWMmkeSKFZxOoWZ2sHatSSDLprTa1AT/z9wG2Ck3A0EhJJi1FqtuWbCtr46kYwm4q9a/gP8RS3fFxYJ2M+iFanCtS5axhX9kgdRtgvOZudGIX2fB8UG2XRnkVdnCDedoQ6mplxthby1t24kUwgWarMLZEBVx9rBgRVybPLwD3hJufm8tMfLb0QgjrXqFkJZUdEALGYL0f68dHX+JJu6TT4Fuaww/VJPPb9W/7iH3/3zZ+98F7QszeqVj9WfanXn56P93IoWNj0EsxEU0lLTdFgurPTgKdVrOY0UEFxARA7Iif60X/XhdgSF1a1kjrpfqQ+kaWIRzxqV7HPun1Y8U19uGe8fLyv8+f1/vgR2gguO6IoHciuosulVCSZabEKLMePsHjND7M0fQAUYau8k6gip4PoctX41jY0l7xieNMqWyxEYV+HltphaQShclloGNJsjr3WlbY+BIgBeCazBYD1P8XxUFq2DOhYZuf0cmPc8vYBcURExAG1ZKgisFYgmwjZB6gpG4FOmlNsAKoq9uRqOFZUcFmzXxiXAxl1Uawo56pBkWlrv09Vu9HDcrQFFrulEAI9LKbQwDlzT+Nk2/4Spc0OtMqigsYwgGiSEcnqoQpFJ5MKqEDKh5JzFmePBmoA1DGfrNF9jWTOy0L1eW1aNX+RxiRKQeyyD5K9Cy5P1DVzREnR2RlORx74lwQ7Kzos/eEBbMdPIxR5GfR9TLmhPlOstD863ZzDr79l+n4BNB9rHkeIffuQt3vmjTwiFyIi4RXOiZ0DUvlYRhaVtG8LSjfW2rIMQNEhhQ4z99XkmtrXKcntwGoTRZOXgYPpWzdEMauUwefZj4ciuqXcbf0rtBiVgQJzWdKi6GVrtGtwa7ch/ehxw4pSmNaP40geHtjBVFnPmlDwCK7jYETeIFryzAXt0OIST8E2Z+zGemF1c8NxrDQAHgEya2wblljMs9SNBBzmRBo1IptykRjR6RqN/IPju6zSgefoAEvu7LK8SNtNLBYEOs2AdBobRKRlKwjC0NT8Y4CqK5ck6QjmYi7dP+R6ifWynA+IRmfz7EJ2Wxc9FytAaRNrfqJM6pIZFzA9FTByyxGgs9lqdjEWVKRU3VJ60uxSJJYGJFBoF+PGDuAAkYmo8uYT7xIVj+7FtcYN02SuU4jYO99bj9AO6Qge1J19w3G3s0cN66CpK+ZlNNu+2tsxuoLk5k+G8RQ2pVNQrNQ+uYSdwQwUTvS9Vbszu8lHg/jwRfnhc2mjoOMFlS879+NQvTNeb4f4pfrjEUeTOxhRD749dDZLejvXzty5OrRufK6ILKWfYiSTsqCLQHN/5bQI2S4JyIHcVJy0byahnSCWFeCIUZeFyaoQKpgFTOK3mWGCzSIFRgonJ3hiIg7BGSlVRHezy+1j66kv9a5TH7/Pbz8dH+48sPD9qh2Pt+f+sF6/xc+/W/Xr3Z/zhJr50CbaYUa+UKjMLoXCRlz4qKiAlhhg1MpUYxOKdiiQZzxA8NkDDrfc3TExJx0KdvFr0QCRY6wC4FBn/+pKbSNG9CZvzRwIBi+LKK/r2TWxuZLsI4/LxOmwAAIZzKkEcWo7zc0mpJj4HOvq+/LNMdtjmrLnr5Iw/8nBRv3OecBb6lpoCAdRNutgYLVZbQhqBpHhXaWGMj1qzI0tJ2Z2y3+oXISNGedRGuM05yWPGCVaDBRJhQ3Wl+b4Gp87LVz3r+m7JlhmkwEwwqm7vegdYG7lCHQsP57ukzdY7/AVoduu7ZBA2fCkMSlZBzuflWi9sN0+6GqXaRno8iNhscAmzaTsSNq2hPRC6c+GbqgmWEFWtZGe7FSWeyBNv3fLcXIgQPaWbwjLSAVey7ifXKIm7sSRbmwgYQTT//us/YzIRXar1RfPAZxdjOQO64EbEe6PF8U5tZJY5FbnDd1gazM4H0IIXBFcC2sRN0+WQDVWIJQA3z1b+Z91VJ/iBd/88fr+H3/36Y8XX9BP7H2rR71+2c+fn++f9Xw8rUqJTEemOjnmiiSYtoVGs4E174CZEgS/6j8IMDeXAc+oNl1r/g8dhsd78WA3FpfZFTZPna0+uV8Bvuvl4/3Olz+958f8+T88v/z2iVfoDkE4masazO5qZSXv3NURa8R1I6gvEPIVOEi4GSOPa0AZp7QrGDYFmCaim5W95ZoMkyG+YtsVTiOQZsAUAbNQ3sNJo4ywO8vcGR35AASrmoNsWcMv0zsRaoqZTWVGAlrIG3hjHIik1LmwfIeQjYpeAmRnx2aTioqefd38cJC9Joaifb8ufxaO8BLMGShMrGa0I6MsY7dB19IX9yfCPRPmRD0YBdVolBZjs+SsTLZAizzmPWKgtvXYjC5lBmB9lMN/CSfDDXNiA1JJ7mGs6wrsOd1muW9YLGxlFaf722f3CSUstrBKVCBOMaJ2u6PR1qOIMPve14dCBJOjazUAGQkGFYmtDHYvpsM9zP/DiduT42hOcfl0SxflcGGOf6PFpEImwI+j13Fw7eOW606uziADTvdy2k5HxwRIMywJAhMwMU+YTe8V2gJ7KG1Zx1Uj9jJTj4MwEDYKyo5gSouwWzqboT6tf6WbSarO7KNVvUF1r3KFU2WMUPs42KVVq0OQavBQoGutGAeDlTTNuF8F1RlT1wvGIol1ZAZ4uF1GvQEqit1aTKpc6p6hLd0IJvDkxKXTzBIDKGREjdKYDTsvujilvyQv1a6dBNFRuKoM7PJP2m/r0r7wsuuV5UL2Q+WZy1gljOda7jcf8JUELcrJ5gV5Yze7LEWsmF/qtiITtwWwdymBDqFYinaWmWPFqFZsGrFv/9jwxUNLcxuoUOwty5AvykoE0CqyqwPRBUkVG6RKgjrD0YhKkIglM+foJRZQEegH63UncYLPjqM6Dqe/EAK6dkw4fC3xzlxUUreI5ZV7C0myOy2WRKLsD3Ckgm3WgaH0ZQUXo9odfU129yYP4Lm1GidwC0R3sZlRXv4UTo94PSvYuSDGbeE4so8W+OS5A/fMd8XbiTq1z81i3bJ3dsXz4Mlq9IktrLwRcQS2q9OkdAZKidNS1EPypySGslUuZQHPoHyUyaC6yzqd2OfwjGS4DMlIaxbEYGgzWG63IKneyNj2W5LhgDzW0NAYZFfRFGOTePbe5+vjfP6ivv3+/uHOl6jbh3W8HHiJ2/c6fsHjzs///oEf+tl1XdpBAepxd0XYZGDUAVCASS7ABwhbFe4lJ+hyX81xd+XQdwAbQIYN7KNeOzgC9AqEv19CKba1VdyL16vIjohgDPDiOZhNRUaOEI5xgLcj5ZCDjAgZaWMEeykff1ABRFJyNU4GQGprBezqbJ+0kKAINWNBHZwh26P88hNge5wVpQ1sC2ZAVlcp5PGSGNMsPLf6gTBYrDne2xuQeQYfXgaqGwCaC5MMa6VO8qKB3Bin8ILt8STCbYt+LnpiLmXFs4+7wox2vi4jhfkaNWLX8PjroDZ5i7G6FkKYpnP+mpc7dx9YMssQ2KxphUjVcBtGhmYPYOIaKIFhNGFu5Ktk09W2OYNesFW6NDrw8NICmF3bKDuEkqWCNh2YfkBcY7oNuH0ioy5ZdMM1fWXZUwVWXw1+VkSYJ1MCaO3YZK5mVLoImEH64fIAzYIsRnIUQFh9nmPVbp6pRIpECsGbsK0jtrBt3ZjJZWUUgtmI3LudSX+sfDxBIDqis1HrJb750/Un/6PvXv7o0FH9fnLj8SMfP/Trl/fXtyfPFQqklWOorCRsu3TKh7/ieRmtuBsB7eUjhbXsShCLkJiKLm814BKsrNtH6jxJBA5Pzq2A9li4+rHOEz/H+6fvj6iV3/DDH8X99iGI1787z+eOYzFVykQroU6QOC39e0qhJSaLYZ2V0xZciDVVAYiv351zcFSzPxuO5dw96HKS+YTqy01tVo84rXosK3Iqq63rBvpiUf4BjGHF1HTMYxy2JzKYkjVdQci8SyQs8EGct5fj+LAyHaZm1jtG0NRDCOuSXYwJ3qFqiy2ubBhoDpNlAr8KIthFhxF0d1tOYmBUY+l2xIQP16+SzxUTPm0neweEr3Ql0N3dE4Yib9dK5lRDoX0MiiPB2BNbajcC2v8V17//a0mal2nNuUZmX3w5J25ggrra1Y+olr23XA6di+nDa8aRguw5XK2OqY6KYTsQFj7VxEbIilyzhmQMwhJEkGu+XQMuCCRyXlXIdeAWzbJsiA7viwAdDmZw4FhcibxHxs67jlvGzUATnQOsKXbvHAMRAIYvG2cLo7sZ61KOgkASleC+9Jo4mM1yf0HWVX+DTEaxc62krzAneyegIlforIr8lAzyobNA3rOp1eFa3cRqE2MR4A6Glu+DtcSqDuF2JEAy5bAyFBOL0stBq3KTW7GMnK9cARDV2We12n11rUakYz5scQsxwTo7wgnFZZ6nXb1E9G4ZngtdMQqtTEiHV1qkIERHuTPb9du0Tc7pPLQfLYkiJjLIyEhA1YjR25qHnE3Dj0nMXjB3NKGpFBgtAORQ2+yV1BFirFzg4rovHmJD0pku7GJ3G/svo6QAUld+LwYEm+vN2Vkck9EKnaKrB83rNtV0umc5UBvuI2QbDmmbaZBB3UAusdQdbK4ApIVcsVb0a4vBrgoWOxXb0t3jtvNMREQex9ZBHY2AzGoBwcNwZEmpaMPY/nhaWKqWk92hMApusAGRUkmyaaW3zkQEtnBUPwf0TO3Og6hqZ80gC1hXysjB0i2PdfDQwduvvrv/6tPxQu7dP73ut5/eP//0+fVLPVXPqrXw6fvbP/qzb779/pu/+e37X//u8/vjJHM1bFJvuZskzl2wRsCRV8a3e9q0xvchDnGMYudXEHcx1LWCQGlSh1UN0ldQpAWMbh3sKCtMmkqJ0gaRw0zSIFSHWDgBQEmxwfd3PP/u9cvn8/tvju++v99feHzM+MiPLy/3X+i7X3388cPrr//tz/t3z9vG+USUJ4EyvsKOmbgbcIYmeICUHKaZYnYwrm6AdixJJLsPZyN1KnQ0Ya5jtYSokJgpjTyD0gkuqWwtiGmx82AqLh/DDJsSYdV4ZoS3R3IFYq0QI3tlEArX3TIwe0jIlcZWkPAMZR8Lagg6Ls4GkTFtnQaiE1A7crhHltWiWR1w0IUIpu9ZdnNL3ZjeLJgFKLlDZmQJOcqcSKijLeS1RHlEsAY2rVQSeg3YL+Pn1qjwqxtRJdhXgDaI1Jd+uQEEusdbYNY0jVhPZQ7keq8LKGmJ084Fm7SvxXMM7la1eEBmLspgjAfwcWYhuEjJ9jL5Cvc7Ie/q8mY/3M/XbAOrzGaw0jQ1eSSwcGM65b2qWdsxqNaceLJCFA4qEbqo2CIPdKljG49RW5JHiURvACy3bTQK6ikGpgLck7pYPGNHg+oT8nePCsOIoaE9mBUn8rJC29ZuhskWBIvrrth2Ckx68AwiVkQwFzidoeUwqCQKoa4qQRtn9mZL65v+5T/68Ku//O7DH2er+MT5ip9/28+fzref+/29ClosrMNHWNhAQwALS6MHc0CMom0fIdIReQTZGcvOio3t5h1milhx8Xw2RDIQ/utSNYvHojr3cytDVc3cKnXXF36ppz7hA3N9YH7LX/3liht//BvlWxWDS7tEz/0BhI3zxAphYwPLkSreQ1koZgBpsTAGaJoiKhfMSF0gZyA2m5XX6i0zH3OSDx0lVzID8HtvU7DMwNnHSseP0MjHgBMm1C1I4fz1BtYKBOKwxS+QdawjXyIOryohbsfIuhlKYG8IWovoTkbZWsJ0ckBkM9ctA2Ezxhr4r5fVaBzZQkveCqJHbwjDpHatcFjCSMzGnIy0H3I62i1SNX9CruR23oy+KiCaVt+zIOvSA2wyl2nN8eJgiejqoCZDzWmavI6Hxtiu2kE7FlNf9QsjHPZ2jxpJugdZt0V7FhoJZIqd8xiE2Fc+gcV/WjFJPkQoZUyB/lMVIUo9pR8T6VsBYZI5nLsqQzQJU0dumm8B7pyEkCsjcNyUyeMeR64+kjdnNbhYwqUX3FQTK4jNvAxaGQfibJDtCsAOjWMHDSS7BE6HFeSMUd84EV2iVamBxIoA8fIVeLYCXzq1ax174/mou9gO2WIstODJAAyuCIYys9XkQU9nPi+RgHK5F03DHzIjciXP1UQudrNvx1q0Mi+0UVXnWS7k7oK6LaIxcQd3U0yiclRhVw0aBESHVAJy0UgOrL2Pi7jCpIfN6if3sfsFG3kpQ84YkSf8wcPRF7TujVEto2gMoeg0wVaTU8hjUd3ciwHClxSCaUNwIphWpGItrBW3W64EnCKyDr6rogsb4N4Tk223t7t7/dtlwK5khoT2rSAZn96IS77agW6H3sFi52y1B9ZhwyCqhINqEIUzhOLh10ykGKwTFOKGWMLT2CjQI90pArmxCEKJInETI82M2agR096GmK0KZehTrm8lU8QhSF3za9J3ZaHCoS+iYkmK/ez7gU0sRAcaFZ2nxqzpZj2wmwutOLDTCbIdN94+6NMv8Od/7+XvfXf/cOTj7Pcvjx9+9/JXP+jL739CrF/+0Yd/9A9/9Y//4ffff/j2P/z2+X/+r//1//P/83fno1fk2c3u5tpqqNxpoHZJpmEfJUdQS8mbAhpk1mjiwHByQjHstnPHRBPoKCCWLR809tYBbIu9DW0JM/9VW+WC5qRLN80xANrq2IgjG/F41w/P5/uXun96vHy8f/pw3F9W3p+3P87j/rK+0/pX+P1fv0lZRGycXmTFuEqvApAUk15BuxQd6mAZaCIcFOIJgOo2tONWnDjUnUzM3JEwzePMF0DdfoDHrgl/4REkMxC9PMOvbNUiIo6mEOn9NRYTvdhgHss26+AKa7GMMATCTa9Cc5WUTliy8i+ukBE7jgaPucAEOETTfGMDl15pVDCgswrMOeoSzUCgWlNbYy5XY2nTQG3mbix7vaBoZ/e3+hr1AZLL6DBCjsq2wNlEja9pW6REOCpdoKVAHDPH1SzmpeKC2OHFYwy6rk6h19DwLxn+g4krX80Tti86OlGRjnS29mG1nlJaFHetIOMzxEhw04QIAFLLN0GgFZFzZS7OidrWDzrd1HcMuxCBZcs45vMC/+CKlkVeKPSkV0KkTjGgwlYdk3d6XQLqJBtSoM4mkRFdLTrC07ESsxQBYBmkowN0KVQIQPMMBhm9gG6KkSGiUBnBjSeRSa5QKxdzcqXDukErW8LDS8m6bKMj2uhCP/fzvc5z96ldrd737+9/9Jff//IvPh6/OLr6/U3P3z8//3x++d3z+brRTa6VR7DDmbwuK+PlPHeAOYyWMo7dSvaS4IQasmNlRjKKzDQ/RkSbm1+Gt6t2JtYyCqlei1ecZp1at1VPNVinQLHQfX++7dpve98+fZfru1wf8lf/5J7BH//6i96MLYuOozS00uxI7lOIWpinFsHElgG2y6BOdljZnsRkYwFATgi+Sqadu11f6pQcsVm8GP52+FLhko6Pc+DivSFdFuQkYJTUSPT0PPqAjNmdV0QElYqMSEVWMNYdeSQMxkY7yFQEjYfRxg+/ttxUJDw3Yw2uHAzmikPpnyeCGx5V1IwGEtWOU6ToQgDLBkzqJHoizFNSWf3sxNKGR+i9kmXRfnSwVCHZveUDY7xiYDq1ghQdWj++n4ZzCieSVViEWbFSSI0FS1j9pkpOaQcmyTi98gy/hrRiKwJdNKY/Qhvm9bs5LEMjv0vNaW5iKOMPis+hvJpghBMWLC9qmk1pILcFTCuT2uUYCoPKDCAbpzA0DZFC+b4jlESE1p2325G3XkfeY+21J37y+ugsR7ULWOxwPbOl3x78C1jiwNSSAjoZodYQshM303bCSyJPIqXyRSSh1Uus7mOtlTwWVkY3eFKIkwS3Zfd8OOmI67DdgVArW0CyjxUZmtcByztRoHp116RbZJBXy8sKQH2sQ6qOCJDCPuvc/Xzf/QTE3eVu4ypxMS1gTTjGYlcii6VkNLuTVE9OjLOsODq9QZmu9gGfbwbXSLs0hh/nzB2XxCeM76W58quq0rFBMCp9kfmNIyctyBiVbwj16HCdlzxETa9LYrMCrt0AgJsNFVCImd3ViDHyQiJ3K9JTdMJHjCw1suuli1SZow9nyzhbQhIjtav8RjNrcq8TcusCQOmMPjoTjUxWFcnuxaOIQxPAEVy3UGgvYXPdhE60a/ByClMCgPogoxghFDjuE4S6um2B65Za4XHZqMl8OXT5LyXCEj0I3Z2L1n2Uimd2IqhMVkX+D+4EodTcBbHVq5JHdKEPhkNtKosdia3KQq/UuuGPv7998+Gmju5f7v3x7dxvdeaqj3d8fzzO/fjuBf/pn33861/f/+4/niKyXczcjRCfejLQk/rm9SZUTVQnw2Fl6KKya/t8W86tBAAus3gJE9gADPc1GAu9h/gE+yC2S58dNTeIAdp5DB2uMBnSoaLZ6FBQ9Q5mn3gL9Knno95e386Pj/uH+zffcn145yd885/cjvVH68MPv/urL68/NiKyskac7wbiDh4+lTNsN0xQzv+JIUwttVcDGUgdOETvAAhEp7LJaMbR0AoSYjs8fLfEs8JNHADLzZSipQWMtUgHAYlL6GSGzGoaqyRzTYmEwy2u9yJ9sJpmwAXDdjgWk6NGwTDRnu2C2OAYVcckemVQ0nVRHAnpTMcmh8rDdhvJ8MSbdrPBsSgAGd0TIoC8MG7rfhzLgJgzxC0YGD7AdtvRkoPsdg4nDPqXyQ60M2XD86hARamsJLZKGqDm8ExdRl/r1DD6pgaYs242fLN42VE7wKf1dWuIqfXm0AaFWoimdemCb2PRMuk5EGuIkXmUFFbyOMGdoFqd1lSCplpkx3B/hSglUWXineVp1QAYlMH5THyB7D9snQ05vNDDGwkvSIrtWNNxwMCOMjlvXHZcRFi9pGh0Ihu9uwLYQradC0SoZHNWj9ogYSel9Zi1kqxclvMHM8jqpWUvdbOhdUrEuVUpNqtQ+9xP7Wc/3p57o8Dm8+WP88/+2fe/+kd33XU+3+u5vvz68fOvn19+esjgax5JkuFS4PGl+RZxLLNjBQyJu8uCilChMkNARmSCOBEH05nSsQKVY9gIgxMLmQjbQjJTcvkxGbUEYY8Ps0n1EyhpR731226VPrb4ba4bfvnnL2j98O+/9AMM68QZLt0pks0YnS3E0SGC6ZBPthVofi4nAsV0lVU+E0KmChfRex119o26hfoqFLT9o3BRd1axSNLXKGKv2a5iC6U1A57eERFiAlSGgZFYw2NwCP3IWO74Q1DIoIgoaJwKXzV7mfQG+pUmDitOQsyJ1zQOGtYwrqnUcsI2ClsyVVLVKwGbmYFB7ZndReyybUIr24EhTPfxEr1GcVKkQrmFI01u9m7a5Ux9tYVHqFvTFAt0KLBqN26iu8h3haKqE707BDF6hPYIYnuIRRpk6UaYXWzB8H0iGgybCqplOlBN+Pg2k6ULNyOpjACrLDgmhQquMAHPkUASFEN60q8uRVv3gxmxtYk8ihyjkNsnXPJt2FvVzusNd1kgcX+J231F9joYKxCKdQTKKYpJw7k5PlJMvhng6T89DdHKVgJQdDS3VWuaxPScTbFHF7AQW2r4+Y8WHd9aSv+QpYMNBxPkQkGLLBH3jIzj6JJa2Gdrq5xjNsZZ5g1EHIdjoaF5ZFPr0N6T8IbpqwCYEcGjAewFVG89n7Uf+7EVGxILOwIlC35sbDTHbnidiyXgNH3NWNXbniyzl12YJ6+qkenUH7RdT6O09jU+kIuNvfJSGUZtOSqsmIEu1C22y2wMOFSL4ETax1RtO0ZvfAODWEFzW/jeTx8PZGYnMw9EYB06EkE9W11o1Sk+p5bkeuSZjg9ICiOTkChFsLzxAmxskjk0lKitvW2TRnd1MNTc9j9qZktbvdKJSeCkco1ziowVM9f2gaUrWqBsqkRzZ0UfyMKWm4uFNA/eBrTUiFhS94UxOgXAEQoQHHY52V7mwgc7kXFuMLe1EAkgWhVtTmg5xrEgdJRCtUfl0DjRK8fIVMlz47aAwmeKPz0SP35+PN/Pxz/45bd//otvPuR9VW/cxOPtud8e768nvuz+9U+Pcz8/3NftXtrYQHRWfx2mRghOgCgoul1cMdScg9pbTUSdRSe7+/6NjhFdjGzce353xFTLkFvWUW6NdEjAZSbKAEs7ImojweaOTpPzbulkl2qRLYRFJh3Sk6/UY/dGfThvLx9Xxvnhz29/cny/Pqzf/9XPn3/X8YY4F7uaZ2ROjWE7tRM5YhgzW01EEkEcECLv2ct349GIFYgjoDAteEX1CIalqyhhV3TriYLHQnlTs9SoY80Obd8XCUcuNL/uB7CYzJRbtzkQJNVoVwmHdU1IM/TevMyewt754CDNhvXSJ2r0rPQJXRKlcQbFNAuVGIGazJ4hNNzzINlY7DOA04PQNHewDJNZ3KYhbs1rjtgXuATyhD2BWBYsUZKLvUxpyPY+2cdG40DlW7BjePyLyJGLGuFgfyLAS93oH9E/rLWNTUYrHG5vMKWdxjeKInjZlY0V5Sw+jDGKMoJjPNPXM3yWq8O+l2EXUOE5yQ2qEW6ovjYLGOYn4ZYun6SNxCZYc02k5fbpf4RAsKs30jEQFQPcjhYZtDLEM0+MZcPBV20wuVMXtDZ8nt8/RwE3XR0Ap6xZgkDtSLQ8/0DB/TxJTpR9pfgUQztWpPbqyGAunVVrWcuimKe1HUbaVbtZ7Cf2PruIU+r47k+/+fN//stv/2zteJ67+9E//e3Pv//Nsz4/ca5YzBXI7mIqvmK0VvobuP3qGM+xjuyOHP3EReXnjSDSAd20/96KeEV6syFdcrAS5LKXmYpcKSKqWvtBoPR0lUs8dyfPiozNPs+3n92pFexn3uMXf/4RD/7+r9/LbUPzvMUWUvOQsTozuzqZ/nY4+jUYyu0JkuVY8BOhsGtVup5FDYj+dQtGIlrqaWqBuywsChyTxCztxJomC3IyQdK4O0El4aYHMEGtyI6SGImAKrAysZgLh01lhytmukfRhP/BR+3MDrrpbY3MaUo0OGXnjZKO6K9emxj0QqEGY3eBQC0zaUGZLrQNB+UzzhuH2sGpoDVhzExR7Lj0mU6Bd1ly+c4hbfjBZSrPmuEnSExO7nEHwkGu5JFVYqG3Fxxc1IGp77xkMT0gd1/bvYUxgaZCDtR1JQ2JQJQ7KG2YuyB5Q0bZIVNxU++V46kS3c0kpibKKYPuO0isuJWpaXamWwzGztAwyqBWRzoxJyMLQCyPxXG85LrHOsKFSXY6xhoP8bpOcPgP0zajvKRKZnqJ6CB5ZFuFElT6KqVlHAtZXbLgMnxW2zzB7hho0ctA40BrZ4P1LN2SdAZ5yHGGVC8ejeNDojVp7i1sto17CALF8gCzLrAFQDfut8A6TNVKGMtb67Veq9Hdz6eqpUfvU/Jt6OA0GavbLJaAPq04szG1UU22uOhORZXnU4vwVJlccPgdjnG1W3wVaCF6Xn8TYwCs6m8QcSFaIW3GhML6rqvOpi6yD7Bhown/ACNfvQgz/3smy9a2KQuMI6DFjOg8Mq/Y3UyrZqunnLF3qbcobrYF9LIzEnCY1f+fqn/vk+y4kgNBMzt+I6sKBAk2+z3dGu3Mznz/L6T9zUjaUVPdaj5AoCrj+jm2f5hHQqsnGwQKmRH3up9jT5TKp2iE9HRIOhBhG22Ot3mru90vPTpZY6NGL9UAhIaV6WNygCcRXjOGsD01nVsywrYNVUVeiYFWSEPRZukud88i4C0iisRO3upEMJltnh6XcDKUonMRhZww5vmBd0QEJKnW5qnP8KkcGbPUdkJ6bUwyvPfE7WxIPWh1qbA7IaTsen9I7/X7P/G57x+/Pv/HX3766cff/PMP332HvrQgP5/+48/PP369//icf/vp5x+/Nue5eN/8rDmNFLuMm0jD1BielqtNtXdWnwwhcXJkfTe2tS7c44UPRNFHyzY7r5YPvmFPFbCnmax9I1QtAI/Y0yI5dxinOXkvM0HAztFf6ndy7Qv0BZGm7lZhf/2KeTY3661Zo7+vv378+vP1+B+f3n/+/f72p40S+j6WH8wjoQdMvasd4VKtpRF4XXWRotbSJb2x9pLqkl1VcKsUij7n7LiA3j3uItCDbWOac5Z2fy53A9Q6wHTcj7mjNH4ytV8yQyYfoUpPEEP3WReD31kLdpo9wvqCJqvt/DuLZsN1GAE7XQ0HRMZ41Dy5MYHGzUO3J6oyaa79ohT8oqSZtzZqFMBO4cHZ5oCXS/ioepBY6pfjF+P4GVdekCwSL4WP0HNsiROHRsJhkCByO3BvLBMDw87WjUMLDMQdbyxPAmp+MefnBvzC5Nz5Q+eIdzINtl97qdAvnyVxujIg9RxJD4/5VSEokSE0WGTUxUZG68Azj0waOD8vzYIijTv2LcD0jpp+sLPsZBSKIZn0Bl5iAEh98py9SbqvqTPX0e7AeVpneXhtZnYQuDR0D4w5/CTJl6UjCxOOukB9j6rNvP8WKnprtqmnh8fobNGPapjLay0ugm4GZ/U27GZHzEE32kMUtx5b+N9//If/1z9/+UE/+lsN+hu//nf/4V/ev301uPSWOLE2hZUHwCc4l5gKqQG04ww+K/NO42+gGkeXYsLlWXOF7RKIvbgMJ9QhVvVZLPkU2S4Isx48SrZdb28uTkFP2jIG3sWeDWOht+en6UH/gE9/ZX2+P//zmrn+/V++3c/14MDGZ8so92llteY8RFOdeg7ZTk9WxCw6tTjRVIHTcxb9/O8xNaLG26dkJY7CrL8Rz8TjFfN9JW3PJ2Ik3/6ARFPqjlFypi6jJUKHF0CcEWR8MVdZxXpgLdWjVYmVqPNix60Uua9uBNULhg6eBsBI62SJu/CZuBPAQIfYNM5EC9e2vXtcts80cZKBQhQGQMhQAfewNHa1OtiivaTRnTGn7WRJjcwVCv+E829Y3DZXRPyxkBhdpRzW7eSOF+VhLXYwWc3cDazTAMZhxVk7ZzKuE3eJ4ky+zxgxFMOKFX/kOEw5B1Vyo8BYcGrnkceCMBMpKgkz2RUFDTzTRheW6qgNEyt2RUeIPL5h6QISOQpSnJOKg1sol0WqBG1cMmYHFIucrmhsmSxNR+VmrONWEmzlUgKw0205APrsZZhRHXVQjqiOeN7RCOwCm1aRjeEm2N1S7eZ1ZVGbPcKeq+EL8Ly7+n66OVjbe+XrG7F9kwW7xPYiWTWNwp2tpJ+oV3IzydlxprSB7hnAm33jftYe7s3uUMd1tyOV2RMl+ga0Y2LsYVC2e/cicUehiFETU9GYnEAyTvyVTLAkq6ZbGfGBGu+I3p0M8WmQsjfI/GK2o7OOSZ6HcMzvr3Gc5y4Ohh9hAmGqM1S9YMPACtnCOxeGiaJQxNJclAQJG72kx1p1IZQDXO3umefMkAMtnwQYCCo6PfPZE4dAUj9+kScyw9mW9zh7BJZrslsnqEJegz0Z06tY7tBPE+qWY+BCGepDQ4l0FzWWIc/ohKiPPUKcBT3ksLh9kEN5Ydqs4EOTGHDDddpM43iHO0rBDEmJH8QB1dLocZg1dA/AqpljjuobVgRz1dODacMU2kLNs12Dm3sN4LW79rUL62c81y7PH6yvW3/8Ov/+I/7vn/j9l8975vm8f/q2f/y633++77u/vvf7135/lvCo6YY9nBtrrtGeRick5QAV5Ikag4+M5UCRPfGZuXejWBtaEkUgQSeTqWkihB6JyrbjsmfGrMGTuWqGwJA1tTklp7eroQoOHqnvSVQI+nyTF5B6HKTz8x1a/qnn+qZLqk+zvrx//o/XX/1q+3PXf8H947WJ7mfUkU/jzfY0qsajGXJxG+K1tIZctYTHVVVF8JGML1yUxUfwpJM8IRTG9gOeBYA1LhcgtG53wQQ0haT/y9PisWA3gQ4jpuUot31GrzlZXN7A4f6JSM/2pgjNRkAYvyZGgVNxCYXpQ7tAVzJdim4oHb+Ois4IAm/bJ0B+4hI4g3ksAGcx7/MdRCM8BhpjL9r09is5HmT3qA4qKwyGTVdOw8xbZyAvI9ptA0c3GprvyMlhTIcWsifUWuLSjjQxbsXhCTZMsHlQxp7TUn3s34bibE+YSgKCjsuKCIxQzL8nEL4dxM6R3+n4lCc64aPvO/kZMfmZaT1IZEJH+Hp+3yEkGy5Ptg2SsV8CoyPlEXjyYjO6RkcEzxE6WMXY2uNdTuTDjsSIDkPyejoDRcTomSCoRhwFQf6GSQ16yUhxpANZR+lpCN5UnaI0IjrzJgqdtVQAuo39zSxpdu+9VRLniMybnTKgPYJ7Hrxo2Hs+9Q//+Lvf/p+/W1/49F3gvOPPv3/+6V//8vw6JJfo2SxBy/lZssVnI9WLvqaszpQ/Pdau40c8ZUhh2FQsTqnOxylEEsReiSRXND8YClK9Pahy6c1uVGmo4sbUpS4vCkZf9w2uyUUicLr316/tqdH67ofr8Un1v/xqyH///fvzfVZdnl6untHyyMNwkaAT91AUWDZy0s7Bv6OsjyWuEhFzOLwE5QoISTUcjgYx856AFL+SYKLvGxIh/JJXduIZmWW2qIN2YyJMw+FJw+JXxIoieOHx0HWhrsUl0+HB0SDL6EUOo7IMkjvl9F4fyhFnBdcQF9iCyDoSFJIfUQHaaqJ9rHah0BR9KCgfBarHItkzyn/D7kjkZ1x57V55VoWR0F4Bugqzrd12PYCGs4uR0qv7l4mzyE+nQ3AqGY/Fku7neMGJnIRx6pg/+FQlI4ik0YBlbZpx6tZRSYJZeyKpHCljko5oICd4gjazLMQhIJhep9bBDaogC9VVWLi05o4Fc+A52sMjbIpNwoBVV85ho0TNWlXXqsjSC+uqUEkSjo/spP/g2E3JgCBM1hpZyT/ByXAjW6zKWVKsg/Jh5lxEcLLdByOX4ZlZo9NdF5WfhKpcej1c27vZa3v3/vkJbHhm8I7BTzAhNnlBQu8Ma8ZY3aGnYNMz8jaUarnbdyJPZmZjutva074xwrzPRAoSHhrMp+loWE3vjdCroQ5mKGn6KEZ9QJ9z2GMsc+Ty6jq94DqmjEB1NLqcLXNOvETktswKzA0PTSqEE47YLOksCdg54mEf9iOYPJzXIeBR8r0OQG2n7Z5o+3RcsLRWaVV5bbgX+elR1yNXbnP03vt+38/xyTeq0Vu855QQzxJYnkEDkD0oqMfp4g7v0zNjD6NDxgxP2cerosBNorLhi7OgZEpGJJ0mBMv2bS90hVQxqhai47ntOcDXS7tyAGfPyazIHT1g+cQN8qCAxBQSjAFq2pZqcNaDD+gzPEr+yNyIOA7rFCwF9qyjQB0PJvjh2AwzOcaJrtwGSfvb7arr07q91/Ts0fPWfufXP/30X/6fn0Zf2dXNezQ7+QiyCxv7aXMCLc9koL89Rt5b+4jLD1wKIWwoPXZ0LveYFDGNsblw313XeWgYfktFG0zMc1W1b7qw4qND9WFzwjeNwD5RUA3KDMsQZ8UYwjF+Czex+nnXNW3Li3721Zl6PKib82jvAku/+vUn/ce3P11f//Kf3+ePvbba1d7CblzrIJ9y7qM007GUb1lljydJPQqBHe+zTDNxg1hp12NNFwPGWh3dmr0sx7u5fLi4rPom2YqLeHNqq4NxxvhpZz+TEJHcYbWytUZaH4NgonMpWjp9YjPAnvHMkYFyerQuzs6MQkYjc4Q2nP8pZL6neQDVTP4IDE8CIb+OdD7bCwwbNwwm6jVfXCCkORLfEYsUp5PtyUXy/GI4hnIcJdW5JR0zbtoD6BczEA/T0dHimBTTzGW+MsKToBapWRTPrBN3mFkDry/RL7kSaYAapbkaDqM3qCMIDSqC3HB07m6mB/j8wym69tE64pdhPMwITR078kuyi1zdYXNKg5k8V0xcYlTQOP0JQ58cXd5wmX32mKNEitjHyIFz/uRc7BNpZ3Z6ABwNURpEMRUnQiBjwHER2ognEa7i8HxNnaPvDBjDMXSkjojILzHmG9FOxkQR8UpqLS2teZrj+l6/+99+9ev/8L0/7fe5VYPn+vN/f/75v//07WtadKdZVE2cV9M+hDYiA8LLvDwzhdVseLBU1Kvd8LTUEa1VVSzyUsa3yJJBkKvM+y1iQNVoFngt1sPXKg1axe42T764DV7Xo7/6DKrPcbHtxRuyt/fXd9x/8Lquty/gr57f/+Pqfv74e3Mw7V5NLmOL9AjjmZE8WUWG52djgcYp0zTAcSgQaji09zHM4IOzUTneGC+wz58AeI/z3guKfzRRl+dDmKEaXaFJ4VQ/aA1YQXPWpZFrUVKR1lBzPViLKlJ9Mhrp8UgaTiFt43zpDnzo/4fFRW4ciN96icTHFjliwbR5JvuEHk6uqEZytPLmni5vDvuD2mqjECF/3sj6YDuDc9Y5DtScN9io21J7FZ+FaA+S3Rh/8UAr6kwf8WAx0UR1onkpaGZn5t7V89pGjPPvlirkZcM2h1iZr+o8oxl+Xnt5kpeO0JIQ5D4lKfaO3XM+svWVgfHkXw+JpalVJHm5KBUxvoRplHTTGhTQoFZh3FMDcHEsASiVQEGluqyiOmEWrKpVw8Vshkf1cL5HzTEL8KUpQrglIVRyYiXyHOYrnOwhFnsfwOOjAsEbVPXJGmv76LIVhVO5sMhRsYGeE516D3sMu3e0LYM55qt1wi/CdZjJs0pKktrtZnG7777V87zHSOLCuGeGU60dEQ9229hwscZqHMLawEhge2LJOyVHkKYR9EWzKQ2AdfIbIuXSGd3VyeFQqbO8I0Ru7l/2gYeOyvW4KY/q0g7qJRxEMZsKMpdApl9dRgYzYjn82YnGiwgjUt+cDxqWtIjH5evqxdlsU49V6021omdB0z1z284ixBHUW/WG4Hc6Y0MwAhPD5UP8n1ZvejCue9/YSaCNPjqZhbKb7g6k2SOVNRrxMtLeXuxsPEn6ukMfAwXKeO8Gnu2KzLmPnz564jRfzi9R2LZjTz0ERcxAzu0Z4GLmw9IDrgg3X2CglRCD0Hol7l7wDEkmPHTklUai2cftaHQDnrHXCJU5MhnD3BxpfO+fPXX76vrWXrW/FRcv9zyPmSvB6Hr21izPs3C9797v6K37tpt7J/1rmxhwiWxOMbkEwfQN2G1zMmHgRIUFgN+bl3TzXqso7P0R6TJoETg73QJvx0bABiV17PGw1b1P1BSAntcMdOYrjIEaNHqq4ruYDcK7etajos72MoRV9a3Jmk94jrR+wPeL9aif/tP69u9TP9kYek07TWNVwh6VG6Tr3jZ9wRqpwcu7qtSEG3qI7mZRFoENvViyDlonZDNf9ryaCI63Vy0uT7PKY5cjHzJzQx7/eFavJjGxXh3UVQaCKwdxGE6qZcbnJXND5GumROLzitowaDyfgnjwrwHBiXZtv2QMRC6SpJEnqaU+gjtmPAXuNk5cHZBMLziSeL9C9m2ASj7CKy331S8UD4A9qOO6VJb5SILO0Jqt/vT/nbiavJj5WfkKOiDHr0DtiGTp6Bxi+oT9ei+jZAqihtffzONjeC3rMVIer9NBo0IrUtGA4KjGT+YmY2UneX7/4YnDzAdUCZE7SRapWnISP00eGZwKpht1/nkXzVreaQrjcFLMHUVnWJa8Z4IO8wAnCQckvH3cCoBT+vAalqQTExI6BSXMDEsnzOpYS8cmxOXsZfFVFLl58CZ9xDdnRTfbUCWMpqsu12wfhdhoVufkxmi1x/f66+vv/t8/fP6Hz++65/769valv/l//OuPf/xvX58/G+T/X7ibKJ0IeJA9SSYfVdxc+nioAZaUf5oYvoqguep6sJaLflzL5UzyyZybgXD12gWUiAtv6/G4UNLScPQc75m83ixjqogeXQ/Eobp6nl6r0YWRMZc3vv3Uf/7397+6Pq8H3n7lX//95+fP397/eItiWzXSmmktMv67GQtbqDiDz1fB4osfOL6rzVxPAxbRnmPubUOw84eZe+Yo1qaghe5EbAxT5V1ZN2ecDrVZOvG1c5mpnilFEswlFK9SlZrmguBah0GhZulk0xit0dDrTNo8KiDKnoYLKsVfXFYhJINdshKpziT3gyV68m8Yo6713q1dmGfA4IKmMdlYG8UZ0+NV6JR0vRRtgE626Spwj0Vq2V0nL9EPFdiDBz1QL3sGfdbXEHNc20HNEYDavCqGR8TsIGnmerifqDU3jtNaEXii0+5GyZ6LyHcPmNpQNJ19KnFlJkA6kA04wEWMWQrJTPu8/jTN5kkNGq5izVoPLhPQolRAa6np4hhY7VGSTotojuApck+OcSm2/jWrUHJKc1VpCulc82udxZ8nx9Gvaw9JaIWjUqURo1rmv2E4VsEqnUJ27nmCntvDCSoIDJY0aQkyS8KAa8EQLkFVl1SMfgMm+ViPXe9r3+/7vvdwEnctDe6L6bfcXQvoAWXP8x5W2eS0B4N3tAeMYqGj3NiZx467m73GHi/Eq+EZwHM7KsydvKLQH+iUWQqaISpndKD5CjKO48Fd8a7JYOczaZgVjoZ0T0iBc328AIITSgtA0GR2I2A2kn6VG/NFGUf/NSbZiCY10qyXG+5AHI2XllASLqKE9dDj0rUYLudNXG/89CZz7vBet+87Bv+E52f9O1THEcu3UwIn02TksnlY8t9iPNvePtDGBHcD4lH0a1IKpKiRqLejb5TYr+TSmmnL9NUzFRmL6QSw3vRlbpBsusGFkFagCz2oCeGQKXQMJU8Fr9DSc8ficAizAh8ykQ4vxuCoCuv8i5WAk5k+v33JkcjA2CjZ2EgUe1HJHj36a42sGeNeeU0DpC/W3T3FCw34nkdvWuXnc0js4gxcwMZo7977UCsz6RBPlyuO1yiTusX80JgkPka+Pg4fZFHoUO5ugotrDjIYFjPT1wlODG/fkiLink2tszK5oIFmEpk/GGJQQnMOZdpTouV2aolcvDg2vQdDz8MPWzN8S4eJvtaw++Lb2+e1/ultraf+07cf//vub/v6Rr0x8ldmop340O93R4p6eXXT66m1ZAwEXnM364hKwGQQYOCyOeiJUbozIUKGw2swA/+LHEVAzDFP3N7KzjHkYABXzeRUxwn5BsHW1OgVmWAZecQKG64BqhNriSSQGgENOd6klA0/L04wrOOkRdMFteFKxHyAQiYxYGLHIdiZiSlGyhQY/eWAceAImwxiy+20zjdaAPI6uLDoIjsvx0GUMxUfC2q85vMB3tZLuByCTcddevi51+HAcEofTgcKB77DkTaScfGcJDoj0Sowh9mugpaAClUSFoyBiaEDlh8m35Op6fADfHmkWXH98hV+4ZxHR2qk01mo4RwPcMHJulZgAs4vqwQ7+dGgWMR0kB7r5BgM+0OjRedXjekzNAnMwYm7A9SOGp/5tDoUPfuUPvHFiWZm8wyLbE4b1XnqMTI2QDOFvtHoQTlGLfnetyJqTY4kFmX70uqZpam/efzu//zN46+vXc+5Weuan/Hvv//5D7//eX9rrTd7IEmNiAAnfZyIeFOc1MMGK4NYY9Qw6jsS3EFFs1oXWRfXqscDVUpw91XJwKix7052yroulLg+X19Uurwsle6e9a1aeyMUtLBeBQzAfaMW5m0t84nOOoGkP2z99Jd7XfzNX7+x9PYb/fAP+NfnH/m8sGhU74ag2VaV6ZjRyE7sINzeoNp0v1pSDkIaF02++jM/5CSKmZ807TTo0Ezn9BEM5T1ZSvefLLMLnCPqQXZeSpaVcMhi1VpXzGwoziq60gMxkItiQUv2tEWiPDuYZqIJeN7Qk7fEMKEWO9BaZv/2AEvd0qJxQsRMoiV4+Ch2bd6AW2KPRUmN1qjnpssQOgn49MkYEIiuVeckSK1KOD0VkiX6citxnTK9gmC07buzTDdLiIE+uISau4rriie7bN+GoDe7eV3uHiT0xSBnK8WJY0ljKFDuitapvRjjkEL+JxqSwRaywlMr7txDm8BlD1as8Xb5utYqoJaKJTe9rqLptTRDa8rL3jlqCPaeymUvwNfCBBfxEL3eKGZGdZVYXAsFyFAV0JWl7ziRTQdmqVffHAwdn5CIj0AneMiVNjcWEnfSpmkN74N9weYRw7oselQSjnhPq1axeELWxETo+1H+7vPjfq7nt/vrnm/fvO+5dzc6ErgCvBvG7Q0XeguNrWFDPAAOJ0RLYSJCnEXdwYkr+tBnRw085kjrTOPxvjm6DSt3blJSmSicOO0TCqaXpgnpZ4OQdTPCzXLEm+xJ8F9E9udmGXfSagP9HQFuptHpg8aFb47hK1eU+MGmv1AvnOGXRwsmx0Ke2sEbWupa8tuiFlKH8WmxSp/eXGs65byD937OjbjsXKeT57DsU1rsaSh3G6khOFIch1hTzRnsp3djzMMMJYQvevoDmPIAQ+iq8sluPftLln5PogtIVw9md7q+BqYZKSIQY7pRFZZGJwotXKk/aJJKnmlsZQd+hJ0whQFIcr9y/ii7qWg6zvKf4/tVsOiI89AOXWfIvgmimdGOQJLcsigRnt6UO2ndbteglu6e+fYUa+R3wr57pMbuxrQ5M66hUzTXu7PXbbiJ3hDalR61Pmzwhks4ePMAr0iloxo6qrPBcaaS0UAlS79PlBanwvsOXGwEADWwzC5pZvpMUn4lLYXdfIWjDY8hqX3WAvqwy+U71Z7u8VIP8DRwwdUlXpIb08K+G9RnPv7u+o2K6+cf/+XWNz7vu6p+CdcSB9xTZd+TeeaQOtNubyaR6jKu4ygVbEWldoQ70dyjAd0EPErD91GBJE8JCR3PY3XSgExipiL+fan/Sd53HKIRaVYEhoOOSGPmZDGd/342meDQY009T9wwQSL85a8FMHN0ZjCJjSaJ23PCl7LBwTj8LDvao/C5L4NaXmQXZqyJ8xc4f8jooENirGqyB+yE1BhnqIc/BElSAs9zCNWp4z35JRnDcZwF53MxEm5ZQYBfg7gPQ5WUxSwzUEWGl3NBsTnEeKMjDLYlYcfFQqxafn1iCIVs8jAxWfZfwisjB0eKl0cpHz5yL73acUD4LF4BEJIllfoVvGQS0V5jWMI+1DFwpOC0YvG1FD0+TzWLJ8qOOaItM9nSSUD0zFFBHDQI9CFI7U7UU6pnYJhLk/zYHb9ZZUAJUrGtRNbVyoU3UNo9g2whXR5MdqfpESuvwdR8+pvHb/+P315/5a7nbSxd/lb/+vs//+Xfvs1NqajtKBbONyrK5rn0OO7lQsweoAqAK1BpBmIXIQ6rCidi8kF9urjetB56u7RUmmlqZkNaEw3DLHFdV12bWo9Lj4ev4fu9/3LvbGDD0bNob069Ce/1Vv1+QFoOMcYD3Pl6jd3++Y/341qffqDK168fn/768fyXmhno2Lo3vLw5FyIT23Tue1KsmTnJvzg3+2nG9Llmgh3RWacbtNJCTrtHJFbAPIrAcr2+40g+eQZ+REqSB4vFM0CLpqoWNCBKWsVmYo6oGmqBo1VSpNVI4EXDOo6yGG87ygXIUdGUlDenSDJbTFA4bHNlyBo0XQoDUTeGxloazW3tI5KDLePwwBPv2unepKIV8dEUSZEBCIhAw0TjDGURZmSUJBKsNl5QP5DImkOprXKSggWpYkDCVOwE8zCtIuZRY3YnPUNoWytAGEZug9PNKnn16UvnnOMud8QqRqdF93QdvELJlSeMAlBuSERpFbVObREwXCa9yLUMo+VaVRFJbvNB7pm9+8LDZQNrZs9FbBz0nyQKEq4FxQ0tV3DQQ0tQSrYMT0SIGVdp5l4e7EDRRXu8JHo4VHHUBcXN1D2TsrGRIxL26NRE9crovIoeLS6V5IeWNSXDyDHAacOX9HYtLuHzdauez3n/eX/99vzTX37++s2sR5vCzHRyx3eEFmxzuafd4DrLSlzsC3sPqbk429i3703x8xcnjo8jaOpa43FXt96fT+Pq7aswCTZhLO3GFIyuTqsbcB4sZA/oEtI8/Mrlyedb4oli4dlXU2Azsbh4vW4YdzKkTxcMRbdfVTt7XHhp7ZNvhyNGyJp8bAtxmZlkFboLrEd9Kl+X1sLiaEHidVGFm+jtcX27+/mMiVTDKUdsSgrpWUV8JHYgknlZ+jJRJ9PMM3e3b0XLGxtbqJEjHfMw2JCsSy6zrNIRJihNirbxTA+CByNuNocuHHOuw9Xu0w3dhhQQDcJEAGy+Aj365IVPXC9jRawYTj92paxxSDYDjn3PdjmnNCIpjvi6Mg+uc8q+LkzNqLlxvpU+R/uAc5S0lQIL0uBuaNyAea+V90bu2RtUCqoiUKGNPe7YyYc9PQj754/1OYrrND8GxM2xChxjPiNo8FH2ZBGj6GlKHR0dBmfZ95gKB1hRTGb9iDZQxmBmMvHh5Cbj5GWDzgWRGWAwtmhySe4c+WiTgy7Obt3jtxrz7Y0sh1hs134a7mv5y9+9Lf1aq7++u5/NO7m4ULEH4v0aB2f7IKE2uBrtd8y2lwl7agEn3m4miC5TCNI9NJDQuGgf/Ioy4/kiK1LzGEud/ocsiKeoMw6ENh7F+wjVa3AiepnZcl7iquD6yTOCxug9i0SIjSADgP6nzc1HTI8QitaRuyS77BU9ke/jsIfT2Zqj5o0u50O3dOKjR3lRxs7sTkpF7gbgqCSxnDCklnQan1/uG1unAOWAE3kRzxPn4PcvIOTQoGlJLxjopLVpjuLK8Vt8/PP5WPMoYog4L0OeDitRpy3AuCAI18SkGE4PUPFsPK+p/CqdjPwA+Sc2dIULJyWe9gAi5GC2/aCSWaoyoGYhnEAxITRCEpnIOHOsCQEexy0jsbCQE+WWBDiLOKLJJMaFS9oHtcDHLtJ0JQQyJ+8cHgYnCua4nVGHEd7R3xPEAnYCZRPN/DIlHzZ6RuuIrBPLVpmbivvq73739lf/228+/W79jG+68dB1v7//8V/3n/7wde6wUpXiUC8riXyn65QI4lMHhDF5Up9pOV6dfBVAvZwbKaq5pi5cb3VdqocfhaUh8JCJa9M9OO1pcnkvzZcHPr9db+u+1uqux1X/9uPP80y51ZjQUlm4+pNXP+fe+3pgG4q+O7DoUg3d+OnPT316fP6s+lyf/2r1n7m/3WXJwFQdWRvgD3NUhL22kHzIc/VkPZ7o8GI44cDS+atJ+2iPIi4tTlzmjA0xTxCQZSIEpIFKEGKZTVJqcWnRSl85knwrqeSXA9coEAsV7stF3zI2VMwmktdek7Ci3DW5aRJXhYQaJ7JGE2B4ZshDVuf2Zjipdh8cmqiqPXedwNTX4TWRTzuqy4JcECtu6ghycQVhAZn+lNjkJxBUka+KXk5bSYo2DF6rXljtkOBUw43T4MTq3gn14cU1bi6sxg2evMnNg2ZPlCBpqrCuYD0BCK1QNSMuqs1PuV+F7U6GBEi4yvLFUjr4BIt0NivYGiqBrD7uee2o/aRtoEZ8k8i13Fu9EYa1jfVYANLqEUe/IQnXQ+F5IuWSAuuY0iktOGcWdfQuL5JksOYjkwKViFJCh7nqaVIeq+05Oag70pNjRToucNaCPFxkfqS1XFsgDS20uaBJ2mRP9zw0KH4p/+oqfNbzvn74/vqv/+0vX7/ewLrLwVjYSu86kYI5yND05AYDAY5HV1ZFr2v0ZX776dMPv/3VD799VDWL/Zznc+7R8zn7xvvdP3/z+9bzGTMx3L6n9syY6plBTeEat9T01XYm8IR/mm0CzURzZK71mNBwTjYqUX24JAwcvanszaP4j3w4vQ4hlI0sFicUgj4SF7zSqUB4pNF5qWwOSryIT8vXZ66i6FpzPQrpqSa7e8D3vu/39ubxgxRnj4o5hQp0nesvSpNhH4Vq7I1y4pOmgeGdBISMmPZAmDgGBzqx7Sxjsa4TFBOj5rxq6KU+pr34klyhdQ4MGll99DiBKuEpx3JEvfz4YQJyfuWWBtsORX8i/OR5ETfxXyQl8XA3ceyfUTaI4JnLMtIJBoTpLpZ9iB/3ibOl3UJgTg/wyDa5BlOenipOW8XnRh5/3e0xrJm2BMHubblJ77GQbcZ2aSZzVOq1c904au0TuM64NZJByINhb9pGYZoZQ2TeLwPxsZoMyha0TcMVb5GMdmEmfopAoDFt8rU3JCY6/Gh0a0lRJDkzMyeotlMjHUBTvvFs7/10lz/VuihWCyii+T42nl9+8+mH/+Pz48k//Uu//9ja3OB0D3pxQSA16m2My8+5VtXMM4bjmPVZlyYiDEynggNDwfvGNJfcET406JkV5OiVIHFicDlIThvAfCrsyfOm1xrQZj3kpA1ESXRw50qTN+boshBVS94rQjM9ocNkz1jyJDapuyOKOR+q/BLXG1b0Gx10MA6iAI04/l8f1QAqoScAfQ0m6TYAnL4YUtehPrnqtfBkYaQWUcYrzjwVNNkq+FJJHVVPAkkw/CAJWGR7eNYDnxeJKB6cJJEgFA3lGoeHKkSZxaM6uzRHJwRLDMCuJMMeCVTxlafIV1Zf/iv9sugfBvFwATQZC5/SdBJunC9mAkh/eeKPIS2wD3A95ryGpLS0J99owDLHGrU6amiTTtNM5n3qOCpefK6Zx+UFHs8ZMtw2M2yddoWzYUej2GBGygCgFJMow4NOJdYhEgXPASSj0qR/iZ80I0ZVBFcWLVf12w+P3/2v39dfcev9zZQ+f/16//kPP/7595z7OBGwjHUlsy5y64MYp1RRPgwrM0DG1wD6lcAmCIc3QilheVUHZ66Ft1XX0lVVl1dBJaoyFeuRIES+rfXpcX1a66pZRQHve758fvvX//GXP/98m5x9npnHVcTcXJj9VNWax4Xb4t2EEJYV2M/59qd70euBt8/r2xd8+2ZiqIJmj+qy0yD9uouOyHUPKobn7ONRqHki9hPZHR0zows7ZWiHYfOAdd4dVA7zVHUosjeY4QmwztKhyFHy8r3GPXIy/dnYOFHaBjangAUScmnBXi/7ps7zn+Bk8ETn2DNyrZNvoBNrGh9/tlhCPgbiwCgHwIp/HgOziCliS0aPoOY5oxDn/hEIkO6m1vlpepI1UnjphyeDLcZaUTSOZhm+1EZRhHWh16VpL7HFVDQr+cdMCMKr1QpgWdYMrFkzXpwbXN4J9Y1vWNRoiOu464+rjDCwCnPkDBdUrGV6iUKFQchebJ2TxaLSK9ewVb4znaf7OohpgVGPLcwWgwvHg1l1SrcczQTIMLgC67o8jaIKIK5MLtn9KlcfIY2Bl9Xcy+zXDXNGyGjAjl47REGyoH3uixA2BjlAj4QEFNGk5OZ+QzEKSvNRWqXFoB2khVGxT5WuFgaW7sGCB141uurTG7//8vZpXf/5v/74x5+egrCEBJbkaPMseh97Wq7sFzxVElyfKc333333z//46R//9jd/9f36VGvTJ3cTfn+f93vfN79t//Tz+5+/Pn/+qb/99Pzz87rfn/2c95u3rakeo5M0gt6pC5tMKrPAli90emnDBcXxHeq4UMYkHi9seVFOePdByXPbnAIvZB84edrEcXMeFPxAD7HMl9HRZYswh1O0HsTbY709+CiqfC1cb0sls12YNGnf7uduA0JnTUu7CceYqyryhHHLYS6zaMfItAJqe9Tte+9910rZWeTnqumYA2OguQ1WFS64hlFuVSLE54QyRf96xCp0JiEiIAmz+eekGJPqoEsMDtkGMOXKBzg1Om2kCvCfEdSh4HFk01qKGCRyYBljN1IDAjKWRaXP6vWrAy/RNivLM9luD7gRkILjE9Wb9t0T8ZR2iOEGWe4sVUkVEHs2NFbdveHWilndkxeucErYuo1qm4p2ugcJu38B3GbXK67dQVP3pmK98xiYHq914qeN44s4IwNtMGEqk0dzlHxwuTr3SJjYdEOMrXJlxXJu+LAnwvSOsjDxYARqitMHYgyQ+eQT9uD6jNItaeVOuXmXf/a7flW/+98f+nT/8f9+Pn98YmeG4HhP82ht8tfAvWewL0/LftvsGu55XljZBWJKAMCeGI0ClJdnJI0nR2HGv9RcJMTyEFlR9HUP9RplT7S8mOouG64CGhMhJWOTT3DAILkL+d51bv0xigbZhs04cBFxMiIvyRAai1iiAgauVDC85DtOIIAmLI4hN5LAbal0Jj2eHLijvAv7IKaqUp7hgsaojPeDpZPQfxI5DB/FZ5RHWV0gI1e7xaqZYAqGFurg1ifGnxlgUbHVJG3CUhQ9w1rREEarYp8Z4RyL+LjWorEdRqxWx8+MIuDCCWOMj4IOyo8XmirTlRcgVusIrGJLPEEthE/k6DWcsnuGrzAbBV8fOzLBHJcuKEp9xAKUD32YVHEcLjAvc+DaJLa5T5PyTJMYH47iJe/f03nEYMR/MZpDg550pdMVkcstEwR0cKUXwofkh4coitiVmhkNVZ5Fqqm3Wqgv8/mvH/VDGc2e9vXt+fVPv3//8X/UfQ9j1y1pkZzYPrpEQwilxMyjYYcKYE2E4tQxEuL1dgxejvdrCLJEoVcPa888HrUWHtf69IZPqx56PJbWA0XWA9N6LHyqknQtpVpitz9/vj498N/+7S9/+su9T6x74vVaJa1VDmUha/AoJLy6pBm3nz/NtwtfjMel776rrz9xnuToHhQ2uhy9UxP18VzGtQJjpnVCIZECivybODZjd80Mfew/pD/+fk/eiXxXZWwec8orgEdwkdFtGWStY3YjtJzF1J5OWD05qwFhoEWNveTBfp91ZSkjAN/o4swQy52gFgNAKZHIgCOr7dQAFGZOfImn4xDLK3duOjdvBg0ZtuhWwSbqMP8cQiua1fIk5xc8Zxup9cjy0+6Vt1XpByONBooQS+pBVAtZ5QGwMFnpL1WnCTBg3rH+zWnsSvgk6zUB0DAWX43LFQ9VYPMD5OJApElWLjWgEsm5VLq4RKIkoXiWuKPjVHtS831sOCwBeKtQqouObFGKNFxI5hmV6JM0ziI/rGNzmp2mRrqAScTKDCEWmkOVAv1M5xYD7OgqMqgNlPJPJEYv2kEqA3UqYQU0ph3SBGlgxrhxLFkoc5i8gmHpMYbKQ3ERNSWOqci4z0l57tmZXZc7J56x4LaXHiCvh//mb76Hgd//+eenjStR+FvjQaolKlGMJIkeS5b6qkult8/+4fPjb373/T///fru0kVr3yszt4at7z7pu+tq+Aafv6qfv11//oY//vFr/9vz26hLdXm2bWYB6GhtWRMdgMZD3cn8UFVi2IaL8LRHrpjjjNI5u2uGUnqwyNZkund250MVnODs8WSoY+AR9jgNEIdHy7ycb9IGVBhe+rz0dqkuc0ma9bhqHd/hdD/v+9l4tp+NRHReK4koAx8vDimSAy8cXRISABl5Mc0S2zNgJz1mR390FqU9J+qUGG9fS0UrgXvxKjcmef7RSR2lq0C2p8Z7acFIhqM5Jy+cFHWiRanhyXJZJkDHfNgmK0v/UUJnTsmb6xZmZ8VOdcARFjixvNHjBUtFuluyz80vNe8YeHDaZT3EXJidkKC90wuxCKNxtm6yUcW2644hdAyru4vXbnM43g6TlHglKymC0wA7mFIIDDMuHHemCtP0jt3OL1l/42gFkjYTRu/AcafH5nzwijmlqDs4EGaKOgec1OqZBCkldziHafxZJU3P8TeFHIy/n6dWOVMR4y/q0+jkVYlbsIv3s2HMcL35WjBclCC0nzOr9fzh+fn63Ff/8T8JfyZ2eRJqGv9uohO8HUHSQa7wxK4T5rluuOzdh3XLQ16jeaVUSkei0Rydiw0v7suAoraLXmUi8hDg3SAq53DYl2MoSqZ1mK4zs0EqJJvgBGIw4jOQG3MA4iRhRhARYN0m12n6LeVuOtFsIIVtpsoKSDYM2OPC2MKyQHmRQ10502WhImWv4rjz1+LASxMCTp4HLK+4bUzwsATIc4AKqZDpJHFRgW7hUyBHJ7DktIAeqakc6cQad/5G1UmNDPGXg7COiTfqITsuoiOnPDwWRtQQSvOyM3ngWAZOjBmEaUbnHxkUDg11KNmPgOuZXIUGCph4mmyUNehVctJEORirPCI4ZEGN0ZEFa872SMMbZ0jHqRDQYakR8X8wCSgQ/gSbG0VENvkiRsir5cQuNgCMggLslzMtnoOXTydRxANLo6lTURekhdnErBCLa4ByjHokaubzfPf3n7//x++4kkn29pc///TH/+fnn/7UvumrAGOolWoUEsz9RuUcNmmqwDS9XuCOdI3XKZy2h5XQbFIY9ZLQ4iI4ay3JELX4qdavvuP3Xx6f1/p81aX1dhGF9VANTXFucIq9vePLeCMeb/zub9+WRvj5T3/pjeEOyrRWDRbQ3sS7oKV5jplu2kYiRLfvn/tdfnxyfb4+f1o/P+f2XMxO6CyXxzoHLpy/1CE3XpW2bimTIk6SO4pZ+w+UASqdFXHeuYsVs8cx0lxhFyMBLZq6tqKeqjqWpNf6Hig65rtTqxcBB7B0VjGPmyjJ41HCd5CbmREDxhHRgF6SMhJEe5j+TRrW+Zqj5kpLy0x8u4k5ThaknyFi4XuSDB9swQOaIxVhoyb2kAHUk+aSSWwOeHA0T7oMiWIFOAHIVSEZUIPcy8bJQwvzEfDcANGk2yaKcAMkK5tYtyJadCg0VjbtvTEnzpFaOWiHkHULi6TkWirUdZVElZQLBZ3uJQX5Q1uZ5szEeTqgyksBeI63mIgrNZGu85ydqq28UAwfawIPc2sAvfJZRoQOcZiacvDcV8zFjYx2HsSNNUBmKmL52IM/nr/4BYiC246wNuB2Ywm7D0wCgZ3dBHRCL1axCFJjrgpcCtM6HEpg9IOQZdcw1ao2l3ktl/pvfvfdz/f+lz9+dZ8pgrug7lE7rg9QHgL1kHrVPOTrcf/VX33+D3/7/T/89suXZa0qap/q0jHZtQPEe3CB5LNrHuzv1/NPnwXjNvnkFO69aW3mxG1dA3Ja3a2l0RjLmz2zCnvsLhorr1Y09YIGt4bpfIFh8j7P2YHakFMxYIKGmyS2ImJhCR/iVSTDLZzjsVodyId+rOvt6nVpFR5LKulhV6xwvhvv5j17ks8KAyv2G4JR53MBQtUUFEgityZx5E3FVENint7vmA10Ze4ad3DFOocCVy2tM9KokMAQjqfsqiyCzDNehF/yWNkddClYdHSimwnEGEsp58DCTB3L5vioOzoWg0ws4cxDHsRGrSOVfgXy4aijQ0kuMqQs+RLZ51IFT+qxEaOgB/bsuA3YA5jugE3tjsmDLailiiIKhVMsnq96bmyMOjFqJo8TmKWXD/VVrO7jNgdnm2m3tdDdcB2WP/y/CpiTAf6SXGaCG3paKIeGrgwh5rDFlMKsDHmpcT/6S+asLLhfgo98cZ7BABVexu4PxJVTqO7TfjNAvBvI7NLjk5mGFnzP2tiDWXhoeRm1C2QXhNnPx5dP3/3Tr6u+/en/8/P7H7Y220ViNG2jr8vwxbbV7TJ361FhfHuMBU3SWVghXg62EseDlZT2gdU4MeV8pe4gVOchSiJtss1E4SI62LNF4hdE/g55h6hoTzhQfv2KbmPBPYRp7pR2IZEwTfsFZmVEmgNtH4/BCSKg4UTbhBKyR2nliwaO9YIOBV6VbyFrtJm/jC5VdE5CDcaC4erj94G58JKpp/KCAYVC/xyVjc9WFFgnsrSIWhHafsB0QOGkUZ68uXK+JfjE99j5j3PQ4XP0xIST2z/P/XmwkZx8xhRMID64s93amTWPvD1xnOArxzuiHddZVm1Vwoac8jC0WQkNsyweRZJwlF+hwTcZOSKPrwkSZxPq9HLPodcRXCWCQwCl8A6TPMzYku2DaEXEig7o4SKHr9EacSaqc1tMMpYi51Dv0UFTrUiK7HCNpg/2erTmr6GgRpeAURXf5vNfPX7zd58fn3njxubzfv/T799/+tNuF2uqNy41QXHJScrOp5/Fg1CKGAtABR1mNC0wubK81wYo8hSmwZ4q5KbSWlk1ubCWv//y9sOnenusL2/rOCsB7M6Km9/lBmZ4SRRYeoP1hv/lb757Pvnz+5/xvLQGxq29JGzuoopvaz37edfpQYcWBlPi7jb2c4nCo+u76/r57ttTDsiNUYLaTKC8g+CtuMpjrQLb5/A7H46RTfiIDE/oTsqx8gq+LL6QmS4mK/GfkfhDmeWlipCIPCa9vKQJWAm8/fHMj3I254ipGZo35yHVa/4PM5bTXtww8irYLmsqjvsPsVOyCJHbMdn5tAlvo3hceYl8BWcV9+71kTtAj6wWODInoPbhxnQMGcPNLuQkGeRPVfAPn3MZbrLUYq2lnlnQYbjwITb1h4aSmMRnNoU9TE9AAA+zagxg4kZwgqazgU8yQtBu1fmqDnkGgmvxsIGBHTSJfBAGqHYGG5wsI58QwnOmw3b3phi5IJTjZIz2gptniElCWwD0w7xyTObwCg8d5a2LywpYEKood8jRIgQhQANqbIymSgAjlPLhfSHGPpEhNf491wGwDJyeQp62cA24Aglm2y/JKGNCjyzWKIff0CpV8IpgRGJWBaqGs+xucGsZfFz89a8+ff3p+STvNDc8kHwgvWOqxAFboLhFQP3lV+vv/+a3//EffvX3v/78Xa32oCT6Qnl2YU3SeodT6Jl77jdoDx+rf16oxetSXLUd8cIN0nx43xW5CThF28NAaXHpGhdrcxPLE/0jwCT8MDMl4GGKL4hmgj0knm82wrIsg4gTMPhz1ATBbscnztoxmbjz0eHS9eWhupxEBJXrjbpMTxu3ebt3u8cYltmE23qU7aDeZRZRFIkW5GFpAGP3ripWyg0BbJwxNna4VKYZR8/UA6HqyMmoRFijxANgJV3jvM2/EB+n4Djg1ZxNEoSmP8Z5Sc7PaqlWY0uAzSOxhDCnK/tEgdM9riBtMqC8AzwLSFJkDK7I2QC+1NoHtcyCGmXXURKMjI6w1jiv4IaGnYykA4TR24PxBla6zHWmARjHQsPsvnAiZQ2WO3qyULHZSJIkqOOemPwMiur0jJIijJ4dkjCg7dhkHSHxDLhhsCvzbGwIohReFLOY0VKRGhKFZB1xJrlCYLDLLA+HJ/VM5Nyw+WooFmK8lACm2lFGlHvTjpKhEv5LzNebXXctrVVTvthu7bLvfT345R8fpfnx/3p//7cbN9roeEViF5/Ui86xHm9W4d5eIYNor4BYOgp4x8DD10X10iIQAw1lbx5yMTvoMaPBNS5Ox4wZiDoPfxsBntooH9C6Z6PzzAJVnk1qRb+aV1vnZxJnNkMBv2o+8NKjGaHMcPRONHzic3wUKNERsinVmEvEqxc05oG4RnKHxQ2sKLrImVeAbu6CADKwkUDpaDfC/DhzaI4rH2WgowRipwa6wpRJqLjMCVonKyyEVjarIFM4k4EUJuIQEsd3AzrJiGcJ8/FdnMuNDFPz0uXSmZrDlB5uJhKl/B0+TJ5jFfaHEEoDhxqy5ZpyZD5MyOY5btNTO4aWOdGsLdY4tFceq/Vh+xWBtK644KXajjnMbh4rUuRKlA3BaWM+ZqWXAgTgnO5jkxq27SJzs3tMUPD2ye6OwcR8PeavQW+fcjkbApo0dPoauUyuL+vzD9f6Tq2nXLT+8K8/ff3TzP3gahXQIbnQxKIYq8fLijI8OxZeKiO7WUQBPN64pXRAHxfFYKQ1mCIbWCaMkjRextubPl/ruvhWBbjjF447lGanbym37W0rwOAI+8aXi7/57tN3bz/9OO+sh7vfCLLmMWXVHmlqXcY82ycGsXuBU9W3b3bVxbe+3tb9wPSeaS94SE+1OrbbSTZzfjJMBSc6a1nDiriQmV8VH3B0hwJ85YPDufEJERpQOG0hHGkZm2Jh9cmNgdysMrCKNDSarA6JBjEgRZU/qOgCj7zV7j27RGTpOhF+iK2f1IEEYX3EbgWpi/8SFziLPYlJn2Rl4LXUTJJxcqeIHKxVmBo3VsD5FP/KnFQDnsWC4njscfdNq80SzGkszGGb8HG5qVzMgzVaBLighMuIyYrRuGU3iKFO0ZFHTHDI3jI3wWmBfQItLBwrlG2wpN2RM45nRG3wyq8s7+zrvW+YEBumZOlaVzdxqQRN50sO7AoNnkz/46RHGni5tjxBLGcjdF6UDvulDOJhaHwktxnX7HNS08TqQ+4b3K4KXnC41YE/nJKGheYsc51oZRFgOd45suzuUXfAvsF4xGXshPci7b+qGaZtuyikig2khlwRIsrl082X+65qk3VKxcIlNrBGU7PYI1D72Uv48t3DX+/dVbHQimzozQOX5ZPoeb89/MNvv/wvf/PDP//N59/96vGpWBDsZ9AaPK2cLaQvXv1tW3K5VvHTm98bn9/96dGcSze7n/NQU8PODxQM6ygvAViw13K2yWkNWl7nYQYaqdWhb4R8yKsJ1WyfGJyJiPO4ejzBtvK02uAJqA8MBXeLZW9U9J25Q8XifHrj4+Lbg49LQNdyHHwcsb1vfLu9xxiysK01njUzkIoGNFhIHG3wbvJ0GgjrZDkk+5f0iWPPJTZ+tcclMoYJDSS8XgY/Mh0mZ9HOhZMcjKNSpRUswJHbVBRA49eIJvo4GONLR0IseGQm4dbyT/CFHQJHvYZU38ygznHL8Ikekk0LWaomasPzpnY0SGym/wsZiuGZGU8OWrYxnae8PasiuJmPUMcpM4H7cUU5ubIoU9XzC8MJovl6foxJVGGcyPGW5uGw0gIwWRqCur6yCr3zB6iDK2UW6kRY2phhi8tQPBJAFlEcWIfMrkGB+/VB4IxSUSklnBbnxJlo2DIr23RH9nfW1gTD6gBFbDxUg3FHgDpHAr7B8jf31WvveXsUFjb8dqPdLnvtL//0tqr+cr3/+C/f+p1wDX1Poy60b/ZU1Rh7sp5cvkwP+lE1PUsgpptaMTNVw+GPnTFIZ5s5OF0eTLPwUTVZHzlf9sd2GNd70JnhIL+xz3n84tFAz1QddQ6xoKYLM2XZBheXX0lEQVoODJ74kDrl80crRL6mwbPrVRRhRVI8GGr+xcWEYBn2oHwaz9yvIe34S8+zKaIFtw2sDzXCcXmefS+SiRfDc5iRqITOgK6P7R5JN8maFWF69PXRCAXYeBEsUdBHV2YTSMnKMZiDENxH8vuaOvIwAsSR9AHJSMgPddCyBLLAFPLG+xVRg7IHjGFdryCwAFQFDJSECfQx0FmVOP0SDnnDkDNdKMh7Kt8ZkYNihcVtjMaRHsaDEfAiIYlKsarlQ7XAWTM5IsFjvgqSpheq5ImCMZ4kHL4PwWbOMTiwMUWSUmiMid7Oa6rKYQ0++/Gbt0+/eZDbN4T19c/31z88+8444ZkUglbAkH59Vc2jNXhlXjAeQpYhiqqgxC5y27n/MbPBdaqBgIZXKfV1EimXcElvF69VuDhdlKc7cbLq+GSfe65smWYf6G27NYvXr7/wyxf+8ckV5ae0hPGjeyfmT6IAFfAtyBh57l73O569S16s9Qn33RiE/5mcuukHtdFiSa/4OTvf43TwVgacRxpps8RoaQQdORutWTpsm0Auz8YKkQ0RlgRx1Ut7Q1MrFVlwjPaTnDsliVfhHVVaxuA0cHELMlVTe9YS3H79ugkZOQofMhlVudiDTgdpi487oyKNZvGEhQfRwyFfo1H2dK4ztqDzPkYY83oFJvWvnAHdeIU1b3u50QnTM8mhyoVKEgAiKeilSBx4qPnqMCY99isMT0wF8bmB01CSGrLo+AZiqi9jVdpH6B98MBepe5yUg8MOm5jdkNBo44XHkAAfj/fhdRWf2KREbk/RRBCvIC9AuCEBNGY82BiiJ5bG6UOY0rBVPP0HuZ0mP+EGEk5lomm2JlcZRIOyFcnImCtFcwUfGoA89YTxBoV31gdNmTITt+HpfbIUE3lSE8cUwSoZk10SQ0IV/Q9eIU+168x3UAJpVslYrsndM7ZdEuzmXChMt7j37AbXWtdenlimJ4lZM42Uaoi6v3xf//DX3//tbz793a+//PpLPZTsEu2KKaoYuhN+6UQpdplO7o1Ra72tvq6NJqW76W1qdohOStjl4sANLMNcE6STEU7VCFcyXKMmnH72zAlH/aBqPDNO9BYcTcIhpg2QfSbpArvblQzfE2LHV/hgBHEJTCj4sepaeiteVXU1NbjEhaEG+Lb59bl9H5N3AuHvqH7OZI5STnMdZt/RFgXUNJiwDBLYt7tx790ts6fP9ZcX4zDPuY2pAVQ4U7l1OpFfaEKMuZ14w8mlHEQ9GDtcNLxAJ95GgNAxNZzD0ivRJNFYHX+OgX2y7MfB7BybHmbcNccYlq0rFe5QGsmjhOSxDsM8oLtzBCFdEl7oV33DOBbcFIKkUenFr1vb7XR5vsbkvF6Ce8ZB1EBqTiz/zDk9sxnJ3XHY3mSFtYjrMhhsjt0cU7MLmMnoTcywj+wAjKgrH3CU3YjgKcxuRjo1IK+ccfliT26M4bL7oN7DDKMxNp6VN0EASAQN5xUub7tcng4VudvnndcRRgQQNweDzdHQfa/HqjWMw8a877H229/Wr9YXXvrxv9xzT6ckzRstA1u4Ro2Z5gML162WWJtHkWe76vIQ2BLqNbghUussJJHZq/LlI1I+vnRb4tknYWcsz6TMOcnrmHz/UQUfFdrHdHyI+iyZCnz6Qn1GVMk9pI9eO2u3aZ0pK6ABjVw4eaaGkioCC6qOKRd0oY7inNEn6WgSjvgoahn7eHwkatt0bhBYWGdExaGtTmmtztMTyiM439Ginr/TmfyRafcD4sAHYeDzbASAZ4Z0nuwxvkCx9HC+1I+5JrnCX2YzPv8uAfPSzySgBHEYe07u14clzwcoDSpOpR18eMRBAT/zXdH08WeegMZo8RArlCM1yiIGcFEzHqBqOJX4l8r2Y/kls/2Q/+bHSbhADN/tA6Ewy84r1GuO5KOhTPZ541JtrA+Q1mGkj5Fvjr8PZ147UziBc+1qFVauad7cnx/68ptV6wLugfsbfvrDfj7z+3cuh6ZzVR0lpdIhxED6YS3MxL8G9A9NfP7tSDJlotQlq0PDJZo+fHfv05JbKgl1EYwFL0Wt80L+PAlT2s1rxR/TR4c0GDR3lT4/rk/+dhdm+LAMvxX7YikwF0gscC+oGWAlu9zAdzd+AqpxYX1SP9GeACtwsvxI8KMrnKxX2TNfrnmm6hZmcieuK2yTQXKxihQ1auBkr+VxuMbgymsiseiZ7aFq0TM82c/jaGB1kK3EA74sCim2YyJyI1U4M3FjCvBVg1R4Hb1H4q1mDjucKOK8HIk0ea2BifU8UrsZGuN9UDYSmOnjiwo9GNzslYqRJH3gWIXCA9o7RXxDoboPF28AHd41FEoSil8GB8KEygyvKcmYIRPHfBIYcHJ/bcJpE9h7GnZeOR+d4sFgkY/u4IxSLIeKC+yVKVDZFhKCP8rmI4BVB8Pb3cWTasgTudRzJoy0RJEC266IC80+U0uMI8TAmsEqOQvlS7iUthkS7OSU5gVzhO5YgBPPi1f4GcIs5gg4KeDEMKd2KhISr4YXNqGZ53S3s/mYx6FyXJInC3BAGdKiQo3nBa06t8GpCoVWqYyP16ZWkd0b9EmIzi+GiG92P3tuP2lg6Wrasz1l7oQOHzD6/vUX/uPf/eoff/vl12/69Zs+l9IEvAXeDaRzN7Ef54gQsap6tmqtPffMIll9EfW25jmfPqnfe6BXTV5VHQH6lPehZzPWSh53bGkYOLLMDWCV2rOnZXSTnKEnOX8bo8jeYSVnE8c7B4AdIMRHx2HAnRaL6DkyNPhS1fKnT/X2putNdT1RS49LCzEv309+/Xrvp0deBy5uJAsrz0VwA7gU0p0qtvckhAyChvTiCWoTXbRcz4nq/AzinFFpEE05mMCus0pr/DJXgrF7ZxiOoEWV7fnA4zoWvciceB70BFP57JaBCj1MV0a3J5R2E8Qt8vyt8nZdOj5N520dntQMWDyirMC9mdkYQjZpniYY8SyQpQWYRpRBcI9neKINXyI6g5q2mfDxmZQg2eAau4gdADViyCPSsdFnXOJRoGcUyoeIEPh56+iTRAgkQmBeIxgmbsWX1jKkhV3c5nKa7cYDXfmDDsTP0lH9mZEndB+f5AzmxXUBR3X1Qp10VCG548ZFnanyCEXk4/Xm2OsYsBDW4iSCIJ3KHrp7UNqzr3Xdb1Nzv9V6lO7uzXn8sH6lz4++/vj7n/3tGSDeMS1bPWNJ2xtNGw/d3afDDyhK2oE7jnTntFcprQKegSrDexPLh26OxTMqMIwVIHM0J5t6Es+aVQ4fsigYxno5achD84Qpz5eb0EeKB4UDVi5DJaLkJfA8n1NUqcyp+zKnFF9HdtDUoyOGRz581FEU+ZB1x94QEpqIHzPi2uQ8JadsZp1ppzOi5h8GHW3rS1o0h+zwaKo9gfoGtF4KFztPbyCnHAbn6olcAMG16mjPeBCFwz2E3UILazhHF9VhYTPpuJWxP7TqaxmVjrBJgfJPYr/DQyYcinU4DpxDIhRaDBpgrfgrDu2bZ5oGKGnPWeuzWKUyaYdFiyK+hTrENQ+FQFP9cs+BsGPcR6D/yaLhGU/iH0ks6Ng4kWU5U2YgRBpdk6774SltK5Z3j8QT3x2lVWhQm1cScnOXLtb+/JtfrU9sftPWbu+fn1/f79mKcpLHdm/E+lk+u+Ax8NGGkjuF1/MeitLn4dIvciZ3HC/higphbr3HxP3c/a0eXwosDWVVJfG6YfkoljJlehQWKfZ4rbhoamwkRm+hpHVmjoPW6bH8WNe3ei/zKRxN9Xk1HeeujTHu9xmOiHokAr+0bZzoeRf5kphRhBtwnOmobF7JO0zWTLY9aMURkLF3iul1Na4jh8x33gaUcmdPj+qcMH2otRe558Kxq6NA1mk25QmKQqb7CE0wGA65eo8xl1dVDQdDLxcnUy4rYVYmEj6A40clqXjyB/R0JUYAc2in2R3UxB62hQXMywuBxGkkYyI5QscLn36VjJaermQ7I2P+HK1l/vabxI6yHOXFGa/o/0RPhOxUAV2d7vgxhwu62XDMe9xoD05mxt7FBfCkKg7QJ12ip8AZDzqX60cyAM+RGmeXXoIMo4RGc0SjVuLTjz1xFPj3fI/6YIePZ9mO2xRwLbs3FF4Bhe3oVc4n+dEuDupkw0WyQ3CmSwWWOCQa1mFkNYBW0tHOROxRzLH08oxVtGewitDs3YEbZ+CZTQYe/4XLSZKUqnDIRcCI7IijrKGzZkWrXFIZlorUUhmRxGenQD5fzs6I2P3s/T7PW5I917ClwVQLSIeGfV/lv/3hN//021/98GV9/+WRmdmUKPdOru1hoYR6DVs0NNB69Gyvkk08ZX/3eLzfc1+zt1aZ7rvzTE0qksbwzCIa41FYmFih5qWrwjH9UxkNSczQ6D0YxROOKdueodZL6JNDLe0Xzj10+t+zCcJwQItDrQMs+tOb3q55u3S98bpSueXxzKAbz6efG330Fkg+SazcL1u00i6bUkgW3UYViRzZJq5EjcbHN57N3bd7ug8UGNHjh689cljKLoN1KseJbqrIPahxsm+nMzuGVkXwYPkDxTApneTZTOw4hL9nU1HnBjNPLiKbPmFLJ5sjvpIiRjrSiPyvsNZ0fAU4n2vDNOPREUHXSw5IEyXszdmg0B40bNekWOnsCpNDYexueUViHZL7hQEY1LEr5p0AO2EE0V340K1BQQNckpLHyd6B6TPVenRKiwc76N5+OR3RkDr5ImYhEuBcRHD/giec9TWNQxrEBwUj8v4UCUBJEcOpuOrMivnWhnCyyNyeKNsZpDwUx5m5ceLRw2eGH8oJ5ROHx7td0DxhDor33NNrVdXsd+HLrz99+V/X6PHnf+nnN/TY1T3yrnGv7oLae1Y9no0FD69FsyEAZXVVFoZltq2IwqkVMjCVNRXkP/9V8A4jgfMzKB39BciUIgYPGpySEAR0iaBI0aUkdeqEfpVeC174249x4Wy7ddbHKNVnBDWyVOd7D/6bO3nlpSMonQ/6cFgnDNNnpYwSKMREJ06H0bsk2jU/SP4PgdR2k1kR8qTYODdadDzGydmnjoXaY7MJ2IppCEQfP1twb8UgSx4rWF49Io9S5G18YQQZ4cd11lrg5V4ItoUouH9ZGfL/O3VJOnUEJ8hVOmEa5xxdAsyPQuDQM+dbVygzjNK7hF/EYcxWGe1MIDisY+VdtpfHidfhjBc+CP+XH4Fng1YbcL2y2A+rkWcAMLIpkC+x0TpQAoeTGG6czMiTJW1iVATQcX4AGOn8qXmCrRr4WhgOYa1eb4/H55V4GG/Os//y0/v9bCJqZR7UcBo6pfBT5xhCG4ulGVcwExTzuAPMeHTC5YGCt734MrHCiYEUvYi9Ycy3b891vRWApbHYUVoGoC2gh+DeQ8nLBAq1Ye3xIjdGbWNmQ0z+G5fVSGoP50rcaKQu4Lb3OF1KHkxEZiAiI9Esb+PSEQ0CUycoB8lCrxRbkSfHim5RAWoChgkEXup6BmgiACciLBgIvSo70+F3aJzGap2TJh8X8mfboKgzhKfMLtcjnXjC4egkwBxzSB7gnpl7Z2Y9oGYdkWi3EoYBJghwTzQjYh21WVD3pA15Zg5tGdnyL8o/o92Vn6aiJ15ItWycR4cXAnBUtQ79N3N8fdjcGkZMbmPYeYu7c4MCutxjblG4lp12qMRuHcaLJnu2h95iwioG41QykkTncMrnB7HkM4sMDeRTtOTZJ7o4Z52mYm4DjbtwwMQ2HwBrBsMu8GiiTytKcIbpPjIOn7wyAGC5t+m7ITQ7fo/eTEcyXvIuwGj6wkmMxJHgAlbVURnS8EsvDRZnosPLfBHR1YFDDveTy2Gp4dn3ZA/eCfw8wuVFgJUgi5VAKrq08meMN4NJUJMIxqjdAiEQlciKaZQb3uZRJBynMWf80MzgHn/bzyRH7AxEy4OtZucTNff4h7/68s///Ju/+fK4HrA8o2upe2fkX+xznttc9vMQeEfm7a5aduf1nLXWw0+AFhcWxkNdvoBteYK9bBjUqdecD3ldYVxzkjoVzhaEuUM59GwbM4M+CooDdPWcKUoRyJ5s/Gx5xQQt8oMO4hHlGOC1dL3Vp4ufvujz5yOrCgwDo7uf3/r9q3fU7arBlBSZTE6fWLIGKJpsKETMHM320fSK06XpPDtg75vR5HhUxOaHnObgEuhS4NUzaefkqYPme+5KxYdDb5wnirsnhVMGpPIg4RDpzckwcTTnTxDTZ0aNkCKZtK8TAGSMWtBwsEeqCMcWayCscwSVHQLKwBgjCcEdxkCMZUfDkZXMhOFN3m0Qm00zPW0dpFaephvGjb0GFHsTu5fkEiavfocIzICVH9WRLxsIrH0YoTMhj7B8ihECQGCCQnAw1EriTDJPHFd/MP1pJiIDHmCxEsOQfe3M6Tphr0V6DbaHMV9Fr5UBLgo2ylTW3QhiBcy4Dscm/aLNNnm8HE62kKI5iQC7d0KdAMp99O6A3djTkNV7P2pwGzvGz+f89Pjt+uJP177+8Pvnc3rjqbK2sQBgh6GffaNMafo2pMIa3OYlcBZhnjzaUoFIb581GDELC+FuJrtxTpLMUbOBnav4pU4fkJkuE9sGH8tHviO/Jt2cvlG4KdgjmSH6ZNgpEi3RfKg3MDuq9xdmZFVifVgpdAv/kKky85aLGvRhcpmJoO2MlmFsXjVSHxGZhw2a0dmMuc6S+prEgRHZAJ2rGEd4knDICQt9SqvRR5AMHtUSPiwDaJILNOl50SHHk4AjOA4setDBvCM8yqcMGQkwisK3jBcjURP3LQ1XwY0lIdh6fv2XQuXFXUUFE9/ciViLhmgSsnVUcfRrucpVb1Uou6PBj/wi7+qY7BGqER/5HMlDuj+jOIsw0PPaNOKKzL8+/76RMrOdcNFOgJNnUBSFUby3Y8VVFQMeokkR6awOkxUiv9LGY1TxBq4hxv78eVl+9jxQ93Pef9z9k+Z95sjW6cENT3mFwDmLik56Pc6cO4hlYlRA6/ZWqA4c2eDQorpBqnqr6rC8w3djkXf7fg6+zXdf+77fMY8WLn+yxjXsBstNXo+V1saGe0bGhthyYIVu9t5u7lVl2n16v/Osv+SWHaXDEhNdIxqXMI2WDLqm54Z4iPuROIL2aT+zabebLL5UFI53xGmzBZeJxBLbPLnoseGkhBeq8liIUnQ8R+eejaIVpTpARLebt07JQT+BLQy9hgZqYGvFReZ+uUlBFmSNTXuM6mfPaq2V2AqRXIIViWrefHFhNhaSswnj5EIPDHdSSVse38nkTe9x4D+mhgA7FIEMt3JcgRy8akwB48OQVquyMXIKye53nSRcnhcGJLpvFqjKCCFv+yGoRLspeZslzJ6ePt+SXeMeCT3sGt0hGwfmfsX0wYmA6Fx6dEqOhjwQN4MgD/NEvYh7dlNVq6QAvixyhGP5PCsGzRMBCxsr7nCemwMpJz9QD4GZGRZn1OrCqpPPPiiaJy4AC2zg8jGp5nw7dz89ptFShYWMNjKJWpcjAqKCeADsRs/tOU9iDOlMS0YZVSqQZ04480kCBwBMqhDloPsDhYQsXCxarZMDgjaMPWfLACvy5Ye857rvee5tkBvICdXg7naNBk+/E4316dP7P/3u+rvP+PxpUKi5VBpaLAirj4gEttm8C/WoZnd3adAKOO+J29M2NKpe07KrysWenmVu1/Jgs6k5YXcdUsP0DQPuwCWeIFg7mTlle2awORtuz6kCdFvBYV+wAkKJ+Xj2MIOB4PTZEeZH9k9pgF4XPr3h03fr7QFdTVYIHoDPzec3/Pyc21Cxjgc+GhyJBlew84P+YoA6v1rVuKe1agwsnRdHNfNc3ePBfbtue4p2s/Uq1yCYmhMY9hqyDM1BfwcT4wnLnd2/CgEdQLQrpnBl1j4WnrbXsb0dU1xyh3xHWKBXZg0xcyBWTEwnY+jEVA7tvbysnpFw+kRaXQfIl70qI/IUWNRNgptdoZDVG817t62Zma3INnpGMUTr8LI9U12D4WYy4dNcNWPZTU+5sNKZOb/wGhbU0z1YYkzODKDGgdaC4y2mC9gvS0FEOxXwOURtOBmcuD86PQEwxEvlsXSdAZXjjG2jFHYkoCOmtXYLSQDLxOJTLY42NufKZNsDsJKwBbA0Pcy4GFU8PMlFPPvROChbkM9h6CPiOCcwdpnzjX2VbV1CudYxKEvFv26s/eXz9L90/1GDPY8nwBEeniwzwsyoxdqeFeSesyliFsscaIX3EiedTiwS5ekIzfTCgAXvYsXfe8wQqd36ILEPtj7QAbXL6P0hISUrYT1UYDCfHS/EctVJqkS//pMjmlYdo8FxteWbcKFcBXmRxqT88aBqnmzBAVfnAM8UInM6HbiRLhuib+fLh0PSR8+0Ophf0ipgxOiSSdwpOk82OLIWh8I4wVv5z3OY7nPWEYuceAfMyUSVINazivJ1xOIsuq/UTWBOY8dRRFnFA8p9iAiiwxyI0mRgQiTAH1prvhJBskqcGKgjbYlvBlWwnf9XTIbVS42oc9jFnAGcXKGJ/gML011QdFKFstpdqiHLisB6crUSmf6yYvojfNn2ObAl5SVGFDVHe1D5cOJ7aqH6VcaHU7B4QgwDLfg4pMfn0oqMisdIIVatGajgzX7Ot2/7jsg8DPFOHeQlq81V0ckBwngVMNNz7CjZeWWgSnVkXn3C64K0DaRZ+fEh2uXe8KXH9ghyz7ef7z8tfvfG330/v/7uzQ1KvUHWONFnXQcDosUZng0eELvp3ZieMVFTU3fRPbZ70HZP92zF3IBC+ehvimqYKjkyBlnc4YCz56Q0+nw9eC2u3Ja82RqlBpbwUEukyUtntX3d3jwi1XGskyFxMxzyPKMmmscWA3WhBicbLyvtIqfLRcS1T2od0GbaGmKZMx5VDBjt+P1U0kicsXs3ytXjdU0KjVZJlgCW9BTUu5SAH/b5LMazMe5UGAbzEHfHCu7xeHxbr9Ue5o75FvF22Sd+Y8cEvCfoYSSYyJnBioYWdIRGc+KxPE1hno3HhXE/LqFnP1zDeLkMzZ4ZppcVBNu5gPNXo8Q/md0ATrwte6LtycqaF8wYFIrKK7dP4Q2nCPQCbyBuZEfMEH9bdxMgFwBFklRN82gqGbFx4kZOnH8k6/1aQJQ+IOMZTb8bK5KI4bB3QxEB1IiLJKqYufGoE+PEr0MDKR9tUWZ7mquI6XEFjaCBLWKn/HJsTEUiIYY6KxoxGUGVQwD5o2u4WdFHDQS7PejNtYyDeuMVTgVb9zR7dXcvytvwYLF2j+/WPO8NDNkz7hnPzFr41hfYy+gvb2+//u7t8/Uojny91qiAdFQ5nZsYYq0ex2lWS8ibPdvlJ/C85+s+dV12j4gCh82G+Ca9c3CzaAp6eFozIp7Zws14E17KDWOM0IVue9qbvSMT4kBlw2kGyt0B8nD1ad8gGF0xbbhnMtYNY9YgQKzSl8f68unt7c28QGBF8k5+u/v9vd/v6fMdcgLDNUglyigDMznw0HVBmQoMs4VVB1DSQfUzeQxx78473PSxk/XR6J07UdDKL9U6cL0HR3Q0iJ5tOPkAhqXUGvO0NOXXzMgw7s1aDetOhDQ13B7DaiDxcXL6cQjF/oMEP58Aj5lpRggQwQX4AqIADDb8CMIHN6zwnAk77dS5MLH7kNtoDeCb3gnf2AkJed0/MwYH0ztH2EHwIQc7SMdJq3tq5VY8rUcEZyZfLkjOtovomYDW03K9ClriZYzsoiN8y78oecnxODRQAXxH8LrWQQwiQKNLx4oQis9RkH60oWxLtXdsQ4iLGvFD0576yCsJxl3H8bT6oNHRTNgjvwTbUUAeScPMC9wRcAJZc1BH55HZwwDtKTzRV7lLe88i68vnH/6DVc8/4+fnV7BrQG8HRy2xp4h5oq/SAtDa7XXt8cWGa3jMT3PkSgh0lBnefaIwDHpaxUhBz/U7DWtgFNipG0jyUc75kwNyrOggocMWg31mryNpU6KWecAAydVGH9JVuYTkV3BIfJcgBJVXor6y52WAnjgkQzh42GJFjAiCLAdLR4fZcv5Is6MzQPgierA+Ei9ehzcO0Mh8V7KHCvMQHnrSBxwzuwKOZywDX/9AUDDyLDkILnsIaSK/sw5WH31sJCOxEr0UzxQmyOdkAgnOHOfQy2KUb8iv5tWXeYE5YRNaF7YTjECpEBlVxmPS9Mo2GA1QXgBDRbMwDZxQq0gfJ7bn5C5GKLG03AHXuKT2LOZ8YaQhnQElB4ED3qFAfCCfPn30JywCJNNLFINxOggNjkdX1WQijODHLrJhraOsVgGLVEp++vF21dtcV4mXx/sb76+cp3ubwJ6MXCv5ouKJ8ZbDS/ySl4v/iT9264QZ98nogRWz5ip4NJEhR/y/094yydjAjL/hz2iBv/ru66++Wz98vlAbtx3Uu3zeyxr0GgztGVPrnkE74yUi14eeqdPGGBeI+5v3DuA5+dTZHuklveXLyBB9jH3J3QDRacwoeI4ELwdxloMYV4XuKcPFojXWFUe2TjrenC04ueg2eYBbTt73cp3c91ddMAwpQzZfbMBJyEIeyGNhoGfSIlCZLZpWOKcQrC/yQyY2lPeG5oaXZ6p5Fx+7FWj71nmyy5kmENrZND1zyvli5wG32NMiMGyLhmwSczelpM/cOb2yio8n2tEdi0v06AwQQYPlmSGMJqRpN6COuwbjZs3z6Upq+VroDUmN0R6voe2NQfSqgonJR9nk6Qk1gDEjcQXsX2LCDnvaNFFlA9qEBgV2WNdM7VHG5/nX6bQlx4nzgfYMmgq2mwSvqP38CkwzkSowIhlxvsPj7UyBNbPvBs3ijQKr3uU108X0Fy2YUQSXcnIxPXFUDJQcT2KLjxwMpr0BEDU2+5DEmt6GYsk+ffIzvCpYI85Tn4PflbaGFEwmZiqudLqGG3S37qKxOPIAtLHdHuw96LtB3/e7xoOf9jsAE91GPNZ9mvM4I3wb0DudNvvT29vbVUtevIJXAFMEQAfRD5qVkUJAFdK7E906q3t+/LZ//Pn++X18e9ZULJzN3uZxiqKqpvtMKSbhUnut9vTg5ZHJEcNuu+2mG2jvTQwSEkKDexsrfnXiZTmf1/VyxoBkQ+w9xAT5E2cVpo7q1o+H3j5d6wFdqDfoSFT1/vS3Pe832q9NE6c8yKuEIIEf4RaKXQKVi8825eaUFUDq1bxz1Mo7MJsPDsGASh+y41fQX/KM6cBpnFcSUFB/TWa0IZOkDAePmty5npdkPBVI41bsSwNsdGAeQHb0h1FXxpMJcQ7eDDIEfATXPuVWmG5Jrcak3qBOWGCNJ1lpzsyhmnGddEGy5wbgwS10c2rc4TKYi3B6WEeNIR0BDSYmtVCYQ8NxWWl6TFYuECU/ned+IaInm6MAY9JtnLExyHkAFZ3oxQO2ITVmIXUiFxqJVRSxgiUaiDHkDI4ekmLySAWSbtqae58nS4S7h0XvLKRHXxzbWBj1l5U02VJ0xdbtI0Adinu/jAdjAmo3jdxTmDE1dFzUH59T8274wvT4MesSRK/levavrsd/0G8/f/rj/+Wvf7BgCnu0LqDdvEmd2NIN0FXQqO/bS416CNngsY4iD8k3BOfs8j7cu+2zzhDOr5cI9MZBStLOoamiZwar1mZ7SvIpOWEVE37YRxJUBXugmU0pvbHn1TyAqc1sWjifJDLFgREW1HwsmTi3+/mfnDsMacU+ArNAy/aRiiXoO/tWwgNHZLr9CiujuypurUPCOQwyzncN+2izjygKx+gb2odZPABkgQJfUpmZYZ0cOrzkUU4hL+We5JpUZTIfmDMthAY9NKNIHcfBKap4UQ9BJaK3OoUaOjhszt2cO4vJYgiL+GH3Pmm2A5w3JgIcGikCC4NORz2pNo40pjxjnXh816BVmE2JXZJtJ8wrX3BMIkhcRxgZJS2CDG0R4RQr0trzgfksD3VwEtCsxl4L8mBSiqpkHeRkUFkoAVW+hmtIdck1rGEVV3Vz7vv9293b990CM+PZMlu4xjZa8Zofo0weg6yGx/+dtfDogY6cfpw/TYXtqGfds1jDUcZLvjKxwW3ePz+B53/+r/O4Cn9bv/7143qb2fNKMUDOdBKNak3NbHRQFPGS7/uebmMgzm7dDY73E+93z9N3wC8B7Yi1YuZ7ZT6Vz07/Ys8AxBewKMw0zzuJw6wbhIfbAFsjyMYWi1zr4P/JZc4xKU2rcrifrlMTqUPAVCTfM6rs1zRM0R3/NCyEtAyat5hKsmxb2YoDSmmHNGG4p6wUPkxyIDcCRudtrekWuyOW6nTNPhM+tlHKc5ijZnZ4JfNlEqZrxkiTNqZN9niJO0qXMLyR8QysREqUXZWyXBNwwZ4kjxIRmya1h7anMlE1TY4sDBu8bHbjbdmFvoUaD8fenobQe1RAgYM1aIZljVPTEQbGeyTk2J4YyVU0jwuDhKB2kn3qtawbjLeHpbQOqWFmb8F0oJ2IXo9kWkR0hOfeyfKQVynmBGBmesDJk4GZrr32Wpxhdxn3Yy6WQa7DPKyiQe6pCg9dWNkTA1Nm+1Autxe72ho5RZLuOXAYYGomkEoqglbCItumzWzNZW8JsRytTJpHSWsw8bvcG6U9qIfR559X7+7os4cN9Le9jUF1HyGH6OkBvSfSIsy6tHdi0C4pa8ym5c36nO29J0eKNAiyrBNzoZNhai/NboL6y9f5+vXbvmHPrUbXvdnDSPUTb98zKqnE3Wd6SlPCOKIIRBCcT810G+Ma73FvzBAzJXhnvhMSPTnRSfeE70Od7HjHJe9pInVkLrSVhi1iiVX89Kk+PbAevh5cRRTb7nd/e7+fGz287UNkQC/JYYKF59woFXHwSOGWaydROnNz+YgaD/rnrI/VYfv3sfelSGDfBDErMoSJdem4Hw1DLCRcTUXKqfWFwUCuDEWMNgpRgsfnNBtnDMoNe6w9I0bhcLb17EmNQaMlekTPQpDogeulkoZVRWNeeMs4JsakL+C0TR6Cf2aBMz5C4XZCnKYHfYxNJ8zOQaml8YjuCQnoaM1OBMe5tDCT+q09E+NQhrPN4wRJKBwQfRAO16zTIpcKEJwiuhdO2uPYpzoKy4IoLxfQzVp1iUeCSwX7zNr1ai9JU0WdwMASNrAWMw/TzaF1e0syw5CfqDcAAVLp144T1iixIa/YDtIxjaS/QREDxAzCWIEE26MSdwpQ80/m38XGuDR34y1Yjeq6+YXXP7z90DR+vP/4krtsds0FPAfrNaR6yZ0jHmvwWNP0VF3nxcWZ9k4Y4PlFIscxkv75ISLmycxiRSU5RKF24DlIa9yQIY4ihlqA+4Jc5JSLRycAJ8+38UIt40U+MgGIar5490DV+QdU/FBRvfQ1MFBwk4mEnDlKULDDEX10XE+ygxJQj/ANDiYfK+d4hUL2+BU+eh428sTqxfkczPSDJojfOMx6zA4W2ZtJFTjzUj7sA4KeT/roco5AcwyeLssQZCMWz5qTeZ3uX4RvQVOQVl+f48mB46P0wAunSIHk2N44iEO+fx9HTr4PqQaDUbxdZ/MYIuW88SwwjMTpGUScbAZjKEjE2hGg5Y3tl5s0pOwmatSBFnBw/axxzP99dS2Lwm6sg7mHb0TVK+OD9IhlcM8uneAjEF2I6xWFeiMeiXpnwcSqa1VxZub9vr/1PF+2lQbQhjyuimoyqcvGEIUplM4un3e3zxMa8QD2eL3OCFXFWxvWKZVuY0CcRkkz3NoX10xraM7PP/u/3T8P6qdv8x//4fsfflOPtZZnzOsyPD0METeW0dgAd2PNc/709duff3z/6dvs9vv7DIB33u7328/2c3AWJ0Ye5hekOYCsOxWb5dwJ55MlTC94VJex0/6HYc9Ev50wWnOzL1dHAhScvUz31NKZzDKAynSd9dWRuWqiYlUyT8qU2WjEM52jF82RKRc1ky73YB31isMLn94Or2RKC26wTnuLqKTb+ay5iQdOZtEpNkEc8zXsU17WiX7oMEExMjnEV8kfE3yAV56syIBoiUnIeiW1R43RoFwNxw3vIP8DnSi0s/qOOLPBQndbcaFUc7zJmuaor41aeO+mfL7M3bHyncqD26e01MpSe6fREx/0uXQWu+zMTvxPnfcQhvhqgM1nS9iskscBR9tRP6PrrCCgF6rhIbjBonGE0tKr4jd/kkPlAmDX1k6wnIMqM0gJe0P21o5IhUk0b06pZnYCw4BJi4E51gqZBNb4dNIBsVS3m5zuxAltuMIzeVCHJ9fKpzQnyDWhd21V7DjnXM3PPrYCPOBDV+9mN5Y875NOW83JJx+MUzG8w155H6jNjgtzwEBKtvrZQ5TWdtN67v7p2/P250+1oKfvxRJqyvBu6CFvJznpUAKqiHy6x+v9ff/0/nPvfTdto6/RzuozxgizrVfYZYRzfe+oA4I2zVZPnyzdXARZXpqzZwYYcCaS5GObI/IL5spXFBrn3kyE10wTzdlxs+mMp9IJ3KM+fdbnN603Pt5Uigps3Pvnb/zW3ffpZqHc2azbRzsCgAuYgoUyt6RDv6M/xDryvDyiL3g+WvEbM+hBeH/bZ/oQk0zhGPjkl6uQOIIsh79MV6Mr0WnIxRpi++jLz1wRa6HkzKMhjozmgLSCT4T4ZpJNM9kRM7uATvfcnAc6kwrPKpMnakqcsQID6eDmmTSiIcShEmLxC/ZZtuXZAU6V4m9nocr8JRhpTdYIgXXbc6zodGee98BNF05Wvwliy+qDQkauJCpWclgGrkWeOM4IczR5wAmzasbUyXGHweG4llbxl2mIGcttVIFmpSKBFZFBumGGZBXdvQVtmqOJiz9TpAqTPgrCE6LHpVgzh8T4VBlmXAaDbuGVjQaDnDQIz5E1ZLhTz+CAOwvYFuza7OiPpOecKqDL4GVqf/qnt++v+fZf+s9/+AmbdGHzLq861barhpspNOcder0b81i85SuC72h862hNQmwLyXJ1cjbC5FiJ4TBxmLvQocvnNHef50aH+M+5rvOtVim3iyALBWC9XoNJAUx0O84LGI38IWfOmC0ezhqvadAJldqTlzXGgzGCU4/to6A/WAWAxICSH5QwbaDO37XaThj4h07+qNQ30z2HBFwm+TV8RYCnDz4Tynp4huXDIEaCAxuyTzpnXLfEnAXYAtlHi5OBPht0+ESCnkk8UxoO4kU/EnqjkpN+0rnOaHLGFYicE2QOU/iIKiOaWEktOGspmEkbfGk+FP/fUe6ZXvlWFDpoJI3PS0qRbi+q1XSycvYcvUaU6ye2JAOh08TDF/JyGIgix8MSzYJxDFVun9fOZFHJl1uKG3aKa2QVdGFdZXldguwCNoxhEWUUeoaN+939TGsHOpY00sQO8B3o4CzlpgpAw6lgC+vb5kkIDgZ+JEtD77CcnTU6ZG29pEK2MnXqPIeKC+id/9///u2n59evP+2//9u3337/9uW7uqpIXvRg25py75BjkK9vm//273/89798+/pteuPZPUNNj/ve1/3c78/xTHvcBbiIjuVj06u8WyUjTUDCy7ZHsIkArLgN+RjQI94IyJ5cPOjVoH6C4og1ZtUJ6BAaFaVYEqEMFUdDjqcURjIaSx+P3v+Pqj9bkiRJkgRBRCIWNfe4MqumZrZ3APb/P2meZwd2u6ePOiIjw91UmBD3AVk8e6EesirLI9xMVYSZCM9KZc55pk+BXt6LRHP6RCjEpHKs1yDtKs7Zhw/4nGYTZv5C/pIkjkYNhZSUH0Q6nK/MIBTBBIc7oKLNFYju4AJEKZ1ZYN7HCIGqsM/kA08dxjoXh3MQ5UQhmt5R4QTTOEibgUQMBLsenfZObqisLe9JSNVqIFFV5YkBWYyu4tbhd4UCx/BEDk3Rie1GJNnhzUNXn7qNBiWuKkzedPQ5vZp1ziGRVEWmxgghD+aKRz5jEx70lWokIODL+Y6KNta0FhYtL3qyXzMqZk4CCkua/TZ7QFTXPer0NqDuGsKLTQWcj/ZhsRLxbKOgsuUZFzTu3HE56HPThyHKj16HFsi3HucVAkJ1AseMYRVXHHWk7CsQ31A7EQUltaWkqbhcxHbJY9WYnHSfkAe1z+unUSxTBnv7vtLpCn4ffNv85ct6tYLPvuQ77mx/HrGPQp+OMycT5frzrd///v3Prbfb7futW5rR3r6DbW+ksUM2NR5rqkAnm3PCdg+FcDrakxipW1MKnk05fEvEwedR4iEBz+wQnjrNZQXsIee4rgzOdneGJjRU7q8f9fVV1+LrC6+XitioGHO/3ZwNlw+uy3Mk5O48Ln7nnM3B9Tg2tmp1bP+T2A+5Fn9IvhQ9VeVFeHI3H/73KA6Jbvwg/Bu1PfktkpxWSdQjag6feWgT0KUgdILo8kERJ68FC9uK2DUNlIfWnuMwKpxmusB/KHnDNF5EWPkkeqzQEPFKcAsPAxuSPjROKdMWZWAR9pR7SzZL3mZCTPejyxBxpBRzIj/Zpk+skwnx5F3igO0OyF4VPDGS4U7imAE823aGwsrS3AUNx1joJ34bjq6hhITAFT1DNpiH9FWsmqpqIqVoPqV7sRgPXVfJrOShHnXOCVXfZDNxoSNX4Q4gQ2FwmmqyxEFmcRoBvp1XN49ZQPMMTanIec7DZkwIeIBAIJn8QXiBGrvpDXmjY8p30dbn/nhFsEivYqv/94+fBm/u97+9fRcEXy0lPDM8dS0Yrl6+73Gjq8ZzNe+qLzWxZicyVfSDaIRXdAfoPI1QckpmhYoPdOnJsQjc0CDqBEKc6iZ2NWy0kk125WgN8OunRKeYdgJlb0hjDLKQ5K04gNQPTiz/YA5qzTpWZWXhyq5151SfM8Zw0hcQL+MPIL8zbsoogeYKXwXAowc9R8DTuH6PoEHnRSZwcqEeoXYYIZ0l6FG7wi4et0pTu1Ajmw/fSISfVz6SU9SDOhM30UeFdIzBUQWcQiM95EA2z6yggvuZiIRHR1OIuwKqYi6/f8hQHmb+SDsCZvAgREjO0Blu2t4H5xixuhLKSbufKBbRnlDoBlaNnDGh5ihNN3wlPeYwQ/Ez2E7WUdBRPeuUceJiquiT1YgC0++YEJYutmuhr6qfuir5I7lv0qturIWqGczneFtvYuCxhNgfD4QKHL9YEX3kTkToMmhOtN4JPOKPU/poFtGXYHo6+KmTuWsPzlQ95zPVZKnzkTYW7u/+93/b8/79X//+5Z9/e//1L/3zT/311a/r6rVXfXhQ9pvA9vue//xv3//P//zvn7flxZlTBGdx9nt4f5/7+2xLUdb+cMfA7mzpxmAB0zFydJD/PQ52chhoVs15qByJ0ISSGaYyq+DH8qoawkn0W+BpTGAcXugfo59P9mZiRNN4DB7FSRL1D6eUD02HPE12dY7uDHEH562jBQ2v23VQPUlMQ2zsA2dlhmV0JcVc55hOdahy2Lm4rCE4UlGeFLjmCQnGASt6Zfts6T/YwAwembhH3NByJGaiSj9Ih7PaEguxiQS+m3EM/6crKql5KlnlIvz2FFjwhMhtNGpIlgqszSlb1AyQRy1EAxAzdpoTiX6UVAVPBTlWVcvRkqPS0LFiiuDQleJvlqiVQUe5949cEhmtMmDEa3grEbHBy1zRjWW7uVGL2A1GoobtdIxplDAhwFQB2BaGbK3yzvoJAbia6pteqH25uyyaqX9M/ITCQyzMm225Me51HO7lou489Gh40EelWIEBTbno6qpG+ofrxBMY4LDWst1OFZceIZWjl4mU0ij0xsiZzXLplRRhqIY/2k5jb7HTssNFiX/7c/+3f//e8r/89bfVc13A8CWL1JybwIk3SOUf6vt9//Ge33//9uf4Hr63Pocz8ntvYIQ9vDUDzD2js41IpeQKyDPaBjxHTkV5TFpj3ebGHmHH6ZTBjJ5UqSF6imNRQAQHJ00KsARJzLgQzq1wYpjNYn25+PHy6wOvr+wPgrObtrb05/e5JzaTJK0fN1MYnRXiO8rE83OnbJe063k4f3BhObnpirzNYgTrXmLFehvHaK6pcEpGcvkcJF7pSvkhYHwuRbIQ2THVg+lWlODCdFFztEd4KDbMdD3nQ8mOZi3gQDDDQvskVM8giBztt+qi2iZXnFU5PEGnoE5YRZxjj5DdijrGRhFJRRweGkQD3ThDEnJp5KR/vA+hm1yu+Jfocu8sPOfJZ4xZs0/EDGBX1VAxazqhuHkVwHQstrfZvjUXVgfZ5EHSQTfbJUDa6Mo6gtV+XReI1TSBGbJKitInu1c97lt2vhQ1e+xuaHKejmeF2fdCbs7i4a8rGqGDcadk2bX+pwUGcSASjp4YiWWhHPOrPPlyiCI0nGQSc2sHtRDL5cvbpgir6dso3Xpd5LqkWe/XwvW/fPkZLwz0+3g/869ZHqPv2qNuqN9YHYf5LFjuq+f9vdY1YA1kHpwpRHt+vbGr6uG4j/5lNXyUH8zLox+7PZHhiV1li91H/hIMdaI/COfnAjfZquHTmhf7DaDJ85jAyTwfqMqJyTPIJ9nKQN3HdZtBISQ0KuNhHA/iw3HMiTEyomUKkKnTOIdVfvqumWd+0btcJ9SKmNwG5rFzHjNwIIPODXVSMYKY5Fc71WxlpEv8BIedQyT/FkOo7ueVPalRR/3N8wnDnbctOpwJLHvKUhwKNsCRCJqddt3cUGdNAgt1uuQQIxQyg4YSdWW1i/brkG08q6GTNhaxz8kndP7Ssy3KymZV+VxINmcr0u6RFjyIyyZc3mFVS4e5OdufhVXHEmBUcZ/Xf0/UH8addJ3LKNQCXhywX14fq185Trk1CUmP/HRZvHu+3WhJNd9qK4Y2A4qP2L5b5V4kowHKrpc7jyd5euYUsKZXgR5r8TJQTcErETW4Tg3moIt+bBl5MiSj8iVBzn/2oqb+4+/7z/eff/v9/q//rX/9a//0c//85XW9eJW6jg34+7fP//jb/V/+7dsff2xzQXcRo2Fhhpx9m7o3NqZ0HvVoVQ5ORyCSb1qwjwDggO8XceskrC20XIuzrQVGy9yk1McxQm0JVexPTH+fnl6vut5rvmzF71Pnrqcbug81V0Wj7wkEdqKnYqSglh+gWKQgGW2iKSm0e8HCTmeHYLirCsu1eaC2o2wmOAo6DlbFiBQ0x+eTGZx2EZA2EkmKqUy6ruSKHz1DgjkiIRRnVCxsALyOE53sbsO4cxkQKyfTVsQ0zHeQ+adAoCWhZUeId0pG9bzgoKE0VZrciBxWyfZwo8xNWGInZER2j8zs1I2gT/UwN0niLkSldijL7CYJTq9+2jJ5+lzyq6+UeSF1sZCndpQEETscdWvyEZKaQrWXa0r5bhMFb8RQ1Ovqnc4mJJx2oqrf5wI6TIJusDQiqT1TKBZLQoeeIsjeVXVLzUGzqiOxNu8Yvmq3YQyaCgrHsoXbd+6+yjXAdVqgMTkONdpVHx0jVj9deFF/tBdMrIqos+uRrgqE18VU6d00hiwWtwpCIe8cY/RhH+Uy3cbNTpdTVsq9/fvfvo/f//X363/7/Y9//uWnX768PtZ61bUuFCDvnLtCyet9v3//9rf//seff//z/lPY48/x9/fMu9zk3KierfeN98x7gEeIz+K9NcORNEw87JaOesW2re1YhzE5Dg24BuEFyLKK2j7ztaOITqLEudcSs+DyuIBRP3B8E1jAKq+ujy/Xly+4vtRahpvARu3t2WVvNJzCwdybGJzpyiEoqCZPcsEPRI1NzIx1ZkeM0f8AcFFPyjcr9EB0utbKzZuQvEyZUP6/KK+4pkM7ZCbgCdfL0KR2gYk6Ljlyi/jXjuY6MRrseACibkYSeEXXo0bu00NFA1xjnSnTHpsXV5fDvK2jc6hKgQ1QsFLSwUTUMUnCQO9ymhDtIZU/R875E0FOch/j2YxDuGSLAIhCqcQf9wIOH1MLJ/3B6DnJN/QZMIZomLYHLkq72Ba1MTW1ipFcdUFpEtYyxyEtT5z/VYdiPlWUK74xBOPvyCGOPqeOHASVYdClqqvX9L7uetieAEwVw1r2WRd4KImOeOWhpQkOG85ohGoiGaAs+CS0FBN2woPSJa0lLwey2XCDFxIDFl2I233rrSqp6o3upev9nukbv1xf/lPd9e39H9LYIHp0dzAga3OT3e9YmDXeuIoj4EIYiKvA8RTRgx0AebI+x2fHY8qI2CWSPhgPzKZHNxy2OnsS0JU0JBxBzTnFnSjIDaOnTLa4+4iB48Sr8uSliFrF7BNz79Ndw3PgHK7Pj36M+fNPe7gPtvD88JHCdIL4oUbnVOpqG2WueLnzhERiEEw7L6iNJJqDPkaj2OUBchGZTkKW/+N3Js0flQGH6QubcHyuEQ5G+i+wOuuuzg9+CofCSCKkQU6fYAwU+wEboAr/X2jyqPn5+IXX4484JCZ8sk7roVtod7DcCSnAw4OfH4SQJrA7zjcRgRicWi9b7WbNFkuFcPmE14ImMEKS3eikxE52KdBTptQxoAAIK0dkMzwiepZGatluX6qtJhvVxAfYXmtpCb3HC7THY2JGRuFKatP3GX4DO+egRmfFNHJrFZIp0s5ncIicrkOJCKjDKR3RU4UYLPdWCtkjPFhdxZnhElXBFZLgs7KcGlWeDMUOJg8kbXXrvvlvf37/2/K//b6+fFxfXvPlY3hdDbG8Zz6/+9v39/e/71rXPg4DG5f29yMyGoEdwvkEUdOIjwRYjJqyaNdFGtw9B5qLkr0ivCSiu4HX6ZDwwDeqlzkSFDNAjaZq18ben95r6SVuV08tEtmA1uauIioxauk5Q9pD2YxeboE7w++J+G2XqoQJuoLVaX4rxtS2DLeORPWNdHBCO7O6stCTaGnTZnGj2ttgbjsgukDY3uV+OkifLhyebNfTTh47wSHAq3EMXOdnPF704HxNM2qWqgNv6Rwd9MP4/XjLsXM9zXhVQ5r8q2JemJPRlf8qd7z1iFFt9xjIiHwYKdpVJSotnZHBMfKI5L+hcvUiS4GBYdScjOrVT2bvMeEl48Wd0RWu5VOffuSQRzPXK0k/1cKw9o/MEZPNQCFMiyZXtaXdbkM3tdjhZwKfpkbVhOqwlJDjjN5Ey5vpOPCwOEW/i8n7rYoyKVF73LXhpkft7u5x6nj7CH49TnqBSGzU5ZYJ7RWBVOb9YlXhHyn8gbxnJYm6aLAFldtQWRaaF85bvzHXEoD7pokuSW4un4yVyTFf3OepIFa7P77sxp/f9cf78/c/3j9/+duL/dPX119/++m3r6+vH+EyzNnfpffn/v7+/PP7+/fvGvG7vd+8b92D0dt3V9do9PbbmAHHe1zjtxvv0WDeo9GdV1vnuom4R6Kk2caGTm9ZJBBWjpwxNE707hHUcefopLDtNHQIsLowG8WFIYC2m1w1q6/rhS9f2b/idYH0u3r2zL2/7z0llCJ9Z4YFGEqIuHe7TRNDr6POg1mGEhkPRasDrZP72ha74vY3UcObR6V/9JYT1SIIT3sleiKjAcF4dRJwi4w/7dbh7mUQHY9Hs5DiHTyWXiewyFEQGcwMWsUjswkVCzpv2JnKMuQ3CFKYQrfh8Q3FiVhOWbRHrjKqop8oBlRhuErCKE5NeeX3iIpMAn3+mYwGyjTkCfoHnHAA6KQcOl/hPzIQ8hPm88he4ElAHpw0YDyrTPxJ2cGSQFwaq605eYf5MphtYxZKlQPYxWaLzVJRp27KJ7fCOKUhYKHaspzUxyhB0zncNXuy4RK2KokGP0zN+VZZBeyuShyrQSf/1elBpAyu8iOni2UFE9FZCYQ0XB3aiGBL0+dBSESF/EQ40gB2XEAm9sv9HfMlmOZr16r+GfO/fIU/8W3zDSV/nW3hpN5TPZRqVaErGQgpKoNukVeTg9LyoWcibzRRuQagQZ340xACPIkKAFFlozAee/nQ8rOdoMGAwFlykkxrCsdkFyWvQQpygUh2X7SXx/gB2oghvvFogoNOn735bCSRX5w0Sp8fOLIXDJC/LySCcz2jDteBGmgJj9knuP7hNnIkPIjd4cYw+bVSU1+aIOrwIYUn9cFRu3fc9nqst8CDfwcJ5vHOGITUNOpoofLxFI2cF5HHhEc/CQc/9D8JMsZpMkuR87MvPd9DQDwAiFYkm/DhFSz4+dq6Uv/gZ1SM6ujHP5wjqUKZBzR+VG7Kno6Y/ClhIXLZMD95vQArnb2y6oe8KgRAnanjaEqzlCFVViXfWI2e9epeF1q4yMsouo2yqjHyIO+AlcNvA6RKEtvaIhfmEEBPWGw7AdVwo26oj3U2qHBGKp/PtoZgG2pWuoESX9UwuValOLlfi2xK84I1hbnH22Z56aN56BrELAU/9g9pMK5b/vPb/hu01vBjFt5Nsqus+957ZLD2nGYOZw9onLBbPFMZKvHaCI7RCxAnfAdSaD6cKy4d9RgszEC27a6RKkOhnPtqteaMAy4pSr185BpC0N76VC+iyOXuxd4dx2oB5dVlFjoiGQbGBsOvJSOkouptCPa4opcSiimSzxfShfIMUvzpWsB5SKPMOcdd3vkjBspyWya2KrkZ9Enn7i4aInFCdRGJAtZzp1RZsTQnXPWki1XjUf5EQlfwdCh1ydOOSJIGuUaB1pDQEkYZQwGQonGMztXnXk3BreCSYBd6O7TIwJ0VrMUo6DE+23aklPVo5g4OFgVnhy0lqwYTXjC1V+fvK4Z/g3SQrfig2jQHJ+mgWDR9qRTBIFWVvQdA0rxsdNfBRGCjuoGTyH8Uhh291tVrPLf14zzHSCVz6YfWq7K8hnrUAeHoG1Pa5d4YaxazhBW2yOPJpTEqCu19qXqtxcM8VhPeKWk6HbdcyMcNJtprjha62VllqvtKZwDTPmoAspZaNevgVOkOtcfzPbrF8BqW/sGgjjd49JVVVghZisVuX6vspeK++m9yyf/u97/e+7fXl69f+KoCSlt78F2fcwesX4PtgYgpeDPVqGNLlO0b25gZbNy7NCNIU7PnHgTPPzmN+Wk355YGGnjgQej/kpOyW5NTqAiM8UNQWkgjwmllTlKryZkfITeIl2eRa/Xrxa8/98fP9fFR6bOyMaP31t4MzeI5frWw3yaPJ57HT70eBB91eF5H4H0uSVJRph1ev4DEMqnlQWreVnPiHvKBFHMOOCLaytCUlMG83qdTDz7wMwrY5+mSXQEdoyRDomoTS5nxII0tVqL3snb6RM8cYWxQfbpDpuGk/o/hyX5uNr0LK0gJjYofOoq6gk5ARWwUroqFOFqBuGuU9zlWn5whJqgf8b5OOZmrlN7pwy8nMj0wqM8v4qRkuzOwBODFnYBPCsJO3lQGOdmlYTeEvGqR+1EVkGE5FZxCc736gJQolvupK/QOxkqviEHKdlUV4QxvTj20sJpave/hgiPxq+4W5LT9ck0WXbJuSywibPtpCb7oHaddhjKKbNvEFcNUGD1zEYl4LFONQ9eGV8GPQ81AmdODnVa1fnP39NRcEKtuNDevvn4tTH8vyXfNuj3LpeoSEj2d9DfBTVzvmpUxVw2Q2DnyS2HJ2hC8joNED+BEM/ymcSb7fzgYsxN0EUek88Q+g/Q6MQyHnEkMFEGPjXlkNDwP1tkRaOl0fh3q7oDR8fAaSsBC1LbyE43zUA6cBK8zlaZVmVlxXJ3IhoyMEYDNrkU8FVxnMAdtCNOiHuWfjaOSyjHdOBijnx9OR/ZzZtgCEGMJT5wj7PAWPIZwH8QnNHCdM5Mp/OBhWwwkTCBeyezt5Lm3chhGnhDK2oiXIKEnh//CD9yxyodjyh+OKI1IZDuOh8Sgor0uInSlffzu+UUehq2OndePzLeScsRVkPfReY5BdwgNE2ltyt1vzPPT1Uj5GPIUdSJVQzexVvtL9TJWuXZ/9DFz52B2RY5Ce+9Td6VT/QPJtlAllO95QsYcxgcpAWCQicqalstBGXVNVLlV2fVK7uSONxMwkBpKkt1c7vLrwqrL3K8uQr1qC5+ffn9+/v1vA3lVW1t2oamBGaAnuwa3ROree3tmcxbrHFASm2mbAeztIxVLsOKdF+PdTQzcB+zP0+LES7rQOHVrK3d0ib6wZ2z20t5wNVAXMSHaXI3aAKonXgHvBZmYWS4lf7cE1bbmXcDmIptVu+heLaJanzR6Xywvr1obXhpUqXTCpI6Gzz54MTtekupzaRypHy2+qqbIQYHbKvacB3+K2GOWi1SbqayB8mixTixSlegasCZB2IqaPqUTi4WWUak0QAUNOTQfvI5Z32bTQhkb8YYGyKgUW/w43VBdGl3owYhBh4+DYYizhdJPbwaeweLkgCHm9RCH0M79PO2SbtWKyZig83oSOMmjIjr9FRmTTMNqYhbbJGV0dX4QHfLzCK3hc4kCRq38S6xDxTcJrspSQ5IVUAHEA0sAPvWTx3R+2MyCCG8WyhOPXRU0Y7M4NGaRRzqYExhH2HYkej6qX4DBI1TjTbh4z24zEgV6zyBqvIEG3bevqpVbYTWdfd40mqUNllk7xv1zCMZVxlWoxirGfRRvBqp6kXI1V31U8o/eXh/17dP3+/3v857P1D+IxtmBTUPNTrIi6YHzFlTTFryFjyp1mcRyeSXDmX+83/fuyl47Fn0fNPrlMVejjL2pI8EeQCOBW/n1SqqB5bkHQ+De+wH0k9UcMZYEbeHWbNROJBBi/nYZkwjkitFEOniTJ6kbAKCJ+uesoEd+fkbWKvgqd+la9dMv6+d/ul6/EHzTvQlvzPT7loml+Qx6TRrq4ijDbyUR7EjMODhtLZFd5BviKMEEYhVijeqzxuf+y3RMgIu4J27msEmEwBXBR6RvPFpfZ6c/qUHIzHqCZNCdybYIeyflrIp0WlrzahcmAYnV4iM+fKDEx5MXtOEkpXbUXz+UC4/MIJHuNRA7OXPZOI0IKccmn3EEPD3NHZWRKUoW0xDPkI1x75zgftLgOmyEgerIas4EEx/g2Th99iRFmYKzsiV5IBJt1oYfcIARNHAIzHZnGStEix+BimsIVKHL3TjwbpI1MOMT/HQVEj4EV52dG2eXwAENnbWjDuTMJqyrC9Bu1VW8UCnKSjSKa2Uu0OncPUMGuFAq1qBduwEaG0d1UUSKw/ZOQo5KK1kX2I0+RiCbwSETG8IEY8V6Yk4B/r71Wk0PZm1Sfdcv/HC/BX0fqe6by5bVebE2XGkjAkO5FCMzjxcpTuQ6Cceu6vxBNR6jB2LPOQrhDPSPcjSW9KMU+RGhD9DZsLPLgC7NHAe1UIQryp+QTMF10luVRfeArgfJV6rJyMM7nJFf4MlrVFSc8ZhTHsf/4ljUw1AlSIsOuHveCdG1IvTPUHx8voFmDm2QD+n8ylCjfmigIpLIyt8nafSoi+QzFyAD7wEHg6THbPO8ujmcwpnhuIR5FPrnLw6Sj+NboPH4JcHkbzDUICMePZqSgPcFnV/QTjMa4p4J53bCF+I6JwrKLIvDYrIDFp7/xkWceb14IOccExCK2CENgnjAozMSJBaLIU9V1D7SoEMbSPZRNePEqmqc2afK1/TX6/pJ7D4LB4EC2wKpkwCj+NYCMwidQB6qIREYQJPAjpMWZuYUAImnSbxZQB+qhbGyF/IAVZ1M53bgUPeB/HNKkUNwfdS6+suLr48vv36pX3+6fv2l11Wf3/U//u+//Z//5f6Pf/377A/0B7V3DWHwSqC8jcidAHW65jbiapCM8iI3gKkFHNXrcaj63LEyufMOTrMGaMMNqMqozsMBoCurALwNThW5k0lJueENptMgsZl2UuTuzGJc9oyJl+gae9nTgTHMTWPu8nuzXHXDMofN6irUtNB6c7gwV7m8aGbLaTHabptnTw5074lT18AqCNcjpqlFAS8s003mDRvgWlGAJK0ILJdLS5TZhZlqg4vCKsfv6mkfiQ/6nIJpfo80Jk020RCZ3ACT7EsERAv7gpOhyHM05TZgJckD6Q7yD0PsD0yAhKR8lz8SVRJhlEs7Z1+SJAgwjt1ydEKjYfNUxCcM44iuOmbJsBq5lVghMxfJBrC6hl641NtyB2p5wL2oHYMWJorfTL9JICALsZXJAIqdooyxF8r9aCTypjG4XZrU3DVDlMbJFRsefxafDSmCZJBBIWUeIXK6ZNuHwvNpYCbH0Q6fCNLJLzIQvJtwCYP0zQyqhfi+qwy2y2yVWMZwijXzyflaL3blbO66uuXSQveKjVXXQrOL/er+cvWrC+Xq2t/ev3/v99bfP99s+Bbq6RrKLZh9/vSO1aujPeD1uqpIT3WpUDOJf6ZhaV+EVmNYWMWZqkou4dZB2/bcnDsiN3lzb3gZU4zcmJbkcRIi04A9qpDE54ba1liDveHbd2J/ctUBHOZlgUXF8yA/SzHjEIxSIm6CMm64D9LTVRdRqOq9XvX1t+unf/74+Hmm5gw/8SvPrWMUC6d8Lr3s/OhOJVwytyAWawqNWF6L5cOnFYydLm4Q7Do2XQrE3kmxKXmqVNUoCneuN5PsE2/0jEAIA1uPDP3MP2YcW9H1nVSrM4WhAA0rPnUCJzWgTD/dQlFIPUpzIs7RJpA4jowJh8vNmBnhB8ocodHW+KQWgQU2dJtLTXBSwxUpRDanimZwy3WIjjTDdNT0h+OPeCBwa77AVUsQx88XzSrMZiMFIzi5aUFMjtYtURFjQOpUIA10UhFc2ETDPbdQXOvoQuBB1SpafS2QqmVPIIOoN4Ki27TlzrccUzq7LjKdyjyAfMW9L1eBL3SICMvgq6vWYtK9q6EhVqB5sbBBcwm2vYNx1CoDLGPxBVgRxxTp1D2hixRhj4iVdMeKGSlhoMGXiTt1K0eNGnqK53TVe+9LRfS00HWBv3Bt3uS6B5jZq1BbgxarIb+D3WvOuYy1OsR7tFeLYL7rqtMnHz0LY+yck8DHVHYyMckC2PXwcDbc2f2LEI4fGubA9GmPDxI0IZSPUyrfXNSwyRFPykruYEmuRHIBmFQvZRPOpJslJEO6cAysPyIF8p+PAzOvj9woFQjRHGg1T8KGadA8M1Wu13wrODPwgY0PxpiZHuf/DIx3UPp8refyQuVTOT8yDr7/qGrOSQL84CsO1X0WnZASwJz8ujo6JeN/Ci/l2bDP9NssxBtA/JASgCcOJo69LHRH3ZJvsX+4VfOD+Lg4XKE8sOooCnhYjfOdsgriSdT0PyQMODh7kucVmzceysDj2PxzoYQfF1DZF+wExvil67fCV6CXI8UHYLI4Nd4wMXsAjBIbike7f/ATn1k5hzsrR2h+Pk88Oi4rcTdJ+Hi+p+S8nEQ+mxUPdnwTBbhhrEZwgGJ3rapefb3065f1T7/1f/pfP/7lt2t1a+v9v13//L9+/h//x7f//H9/a69osViXJ0c4SNfg0faf+l+lrdauoaJJRoTiBUR1nkAJPf6sgjGuljdZZreKDbIWythGEauy4Eugp0DXRcreaW3rNNTyynfJF+veeQLHSpc2JoLM53WY9AshydsyavaJCM9EyEq/sHq1691oLLHqvryWV+NusbhWtPoGPGS1Z59FdoC+N7tU1TVFLpXOPUA2wAsW4CEwM0nOTVRZeDhCHlZS6tCJJVs+NOEj2YzNMLcFDFfaNpuLAErQcPBD8SxMruDIbE/+y3m3WeLQOvlFeX4z1ys/Dx9+Ivq/c7QoyPs5iRaPTtc60F40hLdOFXjTtk74uCYuLYCQif6HaM+0gHWdZALmWSYrksDggXAaGxplHC92lMTBizAT0DP4+/GLhcEpxgfc1eESoqpbWcUSBBD/P0FXcbRaUKnbGHtgqMreJ2Y0GHwy6Y5Ootgnyutk+WZNiF4UJXjDYBwnviIOp7TSor0levqFEepudILXiaJbWX+SXXOrNIDe5gd195fXcl1dXri6SF+rYDRJehWuQpXRuLAuzP31+sLPr9+ua31+fh55aSZCGa+WUStkZSc8oAFfq1daaqpniwW3R1NcZHQChVLWsoGTFDvRTxO6NdvjEcqevaFtib6lpCkKpbrHW5xbKoy03YRdCVGFhxrv29rlHWNA8LPy/rFLHsHczol6x4FTmNQCML0RFQhwUDHI2pVcKRkvvL68fv5r//q/vK6fKBhymZvcd7Aqk5HS5G0yqhrYB+TPnZzuMaBFHsLm+FXgDNc5O0nbC9xybiu22tjx+meMMOiuxONgo0KuRmFoCY3lB1uvQP30ET3HFrnSwwOcFqXQ845WMXP5SeRE1OknG/cYa05KCtlUlKZn/TcSK4k86M8YgQ5PIRiwrU4UghoAWlVXIMqMVI90Wsm9C3/NgpT4khnU4URzgg2SqrOf7Qcu1ngYvPiUMjqiKfSZjaLHZ7RFoZwnp0rJjmY9c0vsTadGp1jO+6uqQG0sgqd1JobaOv1ohBO5HlUvYsOIFqU62SVukL0MM/67fMtJml6s3fNCiQWizG4uJDYlj97RkaUwbOk9A670hLh40v3KcKNVBru9xQVtVC/ddD/4BDkyY7xuKKjKZLFCZAYAsY+wUPCqEsCtwdIQjQVW+565rrr+UtW4//QcURGRL68FtOw+ko2GbAm6cLE9QrUH1T86eBvYAAqdKPOwJUdA7qNDC5Sk56LKnMgTJB7Hv4lS6SRAWVGnTt4GA9A4tjBYVnRjKD1560YOnzoBSkkyBMJIY+jlI3gB0YrEITGSOGj82angYYok/AT1QVKyjhq1Utbh502OzMfgkYXnWgNO01bG5QdG5wNRPmEhp04LhktwfgGcTsWM9j/OMP+DByXPigGND1oXVoxHUgjDk/c/224oGFTyuRS4MOzlMz2eICLihI7oXP1nfTF4/GcBTuo4ORJMCaeTOcQqTFXBsR6ZauNcxYxk+qxL4UQRsOCgfslW03MKOuvDc+IpGD2dbB3bE8CR17bqhesvvf7aLAjG7lxNR6fsGo9x2zWKugBeSY3C1pPUawQz0mNrKBpxUYMdL3IW0T4QkKNRKvQx63NstgttA6aaTXQzG2w1K4giUbW+Vr2u/njxr7+sf/7pyy/XNOfLx+pfX7/908+X7t//+K9/fhuAy5BgjetUdwIPdBy3phnHIdljW1Gt+OTWFwttBlggVcMJWZM5aZE/eJ/KB91YebByGmeIywYcg9iXerm4KJXHHo6ZRpe1CHF/Ena/se3lmjsvTddl7poRD/aWybMOLQjY4GAMCyORLZp3QGWqdS/XMl2zBsR1USwAehV1EFwCm7pYHCeiHo3OO1TI4QjU4dDSS9Al7XQB3nNSp88C0L5Ytdq9C1VsWfctu7QHrF5lRHkk9zO1Meleq/fesiZ+I+iWrnNGGpnxnSE35v1nFz/HAKeKmhODnRONBM5pFp0uypgyTU8O1wd0jWlVKCpXm5CUT0GdHFdXbvyUZ4MqlZdLlx/yPSmJCaxny/thgSL8i4yIZ2Z3saBO1m6q7Y4K1ydzFWCeyn9I6epHLkFAiLOiJmrm6P3hgirNCjp8slhVOIqTwDNdgcQInsrLgBQV8MnH0MWMJj5UyJAtj1khjRNzX+BYn6gkQl9ugCXRuP0+DEBxMaW/92ffn3t9nb3vX7+8DPd2r1qvwlRyC6JM2egZX+LA6jG8sKpUrPasrr232Zj40teri8U+eevwnpPimLoVKaYtkJ0FDYF2YOE2a80SPbV7EskrY9v38J7WzOedHt/TFsmk+DjqGr83xsAtsHF7BGRpa8DwTW+fuKwn/oNHCX9USj6AIcgavePrFIeqUyV8BkmTHRt7omxdfr3uj59/+stfPr7+M/tj0i5Q6IH3zGzd8cMWpKc+somZ4OvdueiISh4/4kcpGlOoLLKorNQ/wk1abHY6QOj9QzPtR+2bkqFcYHGQPQLQpOH6gPNRWJaOJq3IZK0f318fIFG5svNTLMKwqig3Q+hBsCVULcZg2uwEBeUaPU2Zx8APJYj50EcZJXhUeyp36oGIOorlsMSMp1Gn8TFRdl2nByMpCDlUDrBpBvE+SdxEnMv5JMUUqexgZMY+/0TyCygQNSVMGAXaG9WY3PR6rHgpLTwJM4XDPUohZRU9m40mMUYdDvFkL2YKrMrx+QARyzY5RVd1ndLm/JETOZL6k+GQXS80zmVY3RWmugzL5t5aQvKZm9Z4dW8heUP2rMpxiLIJR4DLhZ3WCKFemoEKKveJpYN3NhESUWDWQrrqIWih5uAqxiZ7Y5g4gx1nwkZXT7leWD+1X2Dhxvbbcj7mVD1AQ9lTMMmF0ihffHZDKPllj0Ij2g+vpkJJPTH9cn5FEER7zwFOszD/w5taDmcGHXU9jFi+xgktssFA7nmJ5rx12aCzbTgeC7C8ZVY25TOXP6wJyUkfEWAnujro3ylHPH99uY5iHQqcDeeBWPln2YndJ///GvdKmGab8KCS1xJff5xuPrcisrLPWazPOJx79TyYsTrJx96QyzDiktMOfmwnNAbOg2ofciAvnvCo8xHfr0e7iaw5J0v66G6dyIykCGVFjXkgBMDR9NZDwJxl2jhSr6x1OEHyYVIoHo1kaZk7v7tpuIp+/pY4JxonPx9gOT8fgXMg9yNydp3wqmiwol/CjgZioX/p1y+9C2DP+8amTo3dwLMfa18ohvjOeSJXg0sHB/GPXzsSsA1iCRFCcWGE5nkqdHIiuaCjcEuK4hFlkKdIEmxb1VkKPIj3NZd1FbS41uqqRE24WF9W//PH/f/63//yn/7ff/5f/59Pne6YxmmFC1HqOddJchsG08KxMPQZY2BFabiygIbomBJVGKhRGpCZstYQNaTlxk0v5cSupS20DhU9JDnNqxbXIuE9tsB9HPUmVuF69X3d9x/zmtbe7MIiaN9mrNE0b5CnDediIT0dR0OmnD3cdmUNEO/ygKP9Dv6JRe73EGYXvw8bbncxlvwtNMfL3Oi1cb2wTNbaiXKKMiuBooVVuRrimE1ibZTsi+IqjqsXimNysz96S672CN7EStoZljngKhkCFixQWOb2kHm1ZVhIz2f0b8FMKAu1Ig8lqXGePFWUMOTQNcDpEkbW/bjbHkllCUcgKjwul3ywdkJBBof3QyeKn4md4AUDfXqUg4DlLAfZgtGSy0Ig3WcQqpCnB4/gUQAYiKeREGrB+T8NHcZWOFhgHI2y0/IsuBfDcLPO+8h9NpsSWTpIFoKIEQxOitNOwV4cIUGwwY0YE0dRUmRvyQpVk6ZbUhyMBBn6zgZnS60WZLb45vSTqqBzlu/c1FX+5L168Q/89JXv68/X149uf1x6XVVHic9r8aJ6FYlX79d61cJqYmq0gaLld2rJjBUhAly61nUtYJb4HiuSZwFOwx9PIuJCsslPUlTRG+LORak9SWzW3rxn7q0ZJNXRElQDdEzWgz2Y2fcbfid2EdZAizWTn3OgWyNopIG2IHBm3P3UZfqMlvYOY0+6o3PhXJSC7QKHDLPOfdBLjfq6Pl5/8V//0j/9hfXhjbtU8jWWrP3OlfrIAhqLdcPMPE50IFWHt8uBmYdVeStg4hCkSb2o5MVUlYuuikg1AxlMQfYWVIvJvtswDqE+jRKxDtTOIduYQNAuckxlvY0OyWQ6nh7NnZ8IDyFZAYUsdGN3l3GqN012Wp1MtBFwMLrmqOyOujmihCJ5AuElL3Bbqxhg+klMz+PsAbuZYN5mNXJ3FljERlc0/FLfcCeQqMFjEg1xH6lKZJW20bQBVZRP8X7G7U3bg/UoWUDAk1AJpn1CZ6g440PKkFAJ/U5COQszc+LJYvQW1KZd6orBlDzwcEqDTxE4Dbhj7A1EEbSTTJA6psm7RGAVG1UdqzauD1VV9SXYfx/vemFt3NiuXlvqIQarS4KMpltl4Lp4xLxitb2Z+asLqyvht7WY4mr5lDi7yj8KlgZAucax0ziymzLjuDdUkD6wom8Up7/2tbvgae4/hG+8B6wa+9ogLOCGrl2j4WVua5GTMAdsegFIIH4FWyorle6P0r+vjrUj0+nJ73nYauAgY/FthNNx9ruIG84inN+giEN2O6RI5Bg+p0k56eU+Ym2ahyDJaH3+xwecVxJeYWqQFIXDQ/ioE1CiFcmtD/iW/WAhyNjszOgnpIpHHUP0430LNRBA+KBn0ZWcgVrJsFJ2E55ETtYPTAGSn4xN4njlAZ7iOWTJIo/0/zgk/nGQ5a86uHC+1Khn8Hw8Rwf5rNPgjyzaH5gFEx8QdYLr9JOjHixN+cn9nGt+FgE8AAsNVO0I+VBNHTSKZMYWRraWbeG0AmRskCbG4o1jpPZ5eUlvhViM0EAwP6ouaGEG2zdGSeqbfBelIjzR6BGsPplVqkQcAaKPzDOe7VK0hsSkMaioDPEF6ZjYqXFFk98VJMwnUCKjSD2tZALL8b7XoXQNc0ZTxVWXIWmrPlrwW6x3T//x6vqnn7/+t5/2t78NeY3uXatmePTl4tlXdFRThBjMx2N0TJpQoJL/mQs2CIirz0edx2Lkbs8eN2ws0rpW9WstzvstL7drJHqpcC2sMlnTiuBrdXnmvtVmr+oX1+vLtUbfNN9fG1tAU8Br4HVRxi7hLrqumVNReG7ZlMIjspzAWpBMLbQyDsOWb0SSffBdXGzu6YV2J2SN8Gw1MMW92Vwf4yUcP2ItUIVux2tJAlSvSaFTZFNdJ5Em1cGgd89MFsgiyxW5j2i0wygnXOVI0F9Vs7kX6i23Z5wYPUKHbHTJwJVfOkCHIoCxoKoVq1Dg3lJkbgfXouEa+jj3nwX35AHmCAbCHbI6GW0+e/2R3alQq/PQxgLl8VT9Q7EY/HHQ2Q0IbbFWBib7MUEl9D8JOR2LfK1cs322H5Tw2AJ4RFXh4hPO56r+nyaTI9iVPRqzVzsaQEoJ1bZ+cKVZp+oQXKw4KSKKAqZBqNVbWByz2Wh5g9ncJjzgpHJQCJZq7QTpz+eTqwLGc5EcwBxkN+s9U3WT9fc/3ovoL9+7eJWvai17z7rWl+X+0l9fvYjX1a/ry7pgjOxvn7rnc7s3a295Nl28rWX5MJJHjEZ6W1WulMCg7W4hwel7V5/k1nuIGsFEFWq4IczGlmDZtuTtAbchqKZIz3gGc8/nJ3VrUt6eQgbtGlfinjb2OzN8e+zBwKy19Cy4P2bne1yu6ICL9R6SPPiT6QjG7MI6INe16J+6f/vly5f/J758vNbS3vc4R+Bb5T0CTsGauFaPp1yqcu1WOaRi1YKijOrMo10pKeaJjXLGh0WQ2mySSBrkMdkJen6VSIc6eGyn58DMRcky0KfEI3IWAas8UQoqCSpFUs0amzaOKEMQ0IUJ7BiLeAIbsddpouFqb0SFH0NQZhKQYEE7SUexQeVoTuGqK+WxDTrW5vPnFKdnXhoB5eU02vBqwhQeqJske4nDfiOp/RWpxJkMl48LtIJoHmFocAqdJucKfOmSJzakld1PQi/bGpwg0ewuMSRGABn4a3gtj3x1+ZxUCdk4bEGqhGvTfQDWPoqJEyBQXEeTmctRTGKJybhbeIBiJm66r4MSsw2hr0bj48XrSxfSv/gx3/yejSleWdjBKtSacbs6AICFm7jMjp/fM41rLHLHNCkOuM5zEkOqZA/mtC+eCevsDOd0n2Jto10gx8JMsYdThRT1CfNa1T/VT33dm295vg92nv+THbJm7kySd6V80BI+tPaLGFd5HQH/mdFAPk5wFOkbfvi+owGfCK9OlgpkDKZPi03Rbp1Z18aJ7GofTasjXUOOcB7pZnBxAYxh/XBRMh2FStRSj/HEqfxuRJDIp0HnHFFHWVNzdr+Bo7rKPkxBK3+bCzQDbpyor2NNztwfNzZOgWGm5ISahSLIp4IVQDlx99GZJB0HzrP3WJKylRxz0WE2I8yJ7zxT7EiJrThbFOuA7aeMxpZr+vzAKaui8z9xt5wmQxiPML78UByJ4CmUY9wFK6treHlEAYjoyJGNpOs0FJHUCQ7slA7nBPWOP7IMuVmTNzdThbvoW4cxwv8csIQT9v04PsiFJjWNvw+qnF4AjLue4FYYQMVtRJC7DbgDRJRPwvzQ5BsoDIfnreLF9HkffbPniLogqXn5Hr/qlMFo7ZBXF3JVF2iFH3mEX0GqZJFzxJ7j4Z/f/f3n+bBe3FD9Mfce/u2PXR8Xp5wYaFVLXK3Eb6mOavKw5CjDrsi1YjgbaAXnjCC3KYdZltHkcCoxFUWwalBU3dr9pb9+8dev/PkruwHUNfz8Q99/16jkuwzvwtUsLTcIJd97fNnE2p5er9dP6+MXvP8uf8P+sz/f1iaWrxff262l917GvjPgd77VyGSjDnFW9rNXNTB7RzJSExViaYTiEHjnZa8uzaWy1Fggay+sAbiauADzrqpXr3aJe2ntlorjWa7Ig7E6dFbC/j1pgsvsgnEHy0WBHtb2bi8ukMOabS6U4ZcR1E6QrhNwMoP5gN7U5Des6nSoqqNHw05qjsNi9nZGh/OaHt0gMi0EI5w7nMBx7+c8dIRCIaUhk9W5XRdqlDDq86eihemP1G8GMTQVByWAOAJBYJK9L5hN31ZI1ZM0Wlw47GFoxzJKCLcc4RWTrpK7g3FQRNYTYJGr6HFniDjmCYd5ZEiGeH9qKnR4dXmSTPKPCwFsa6K+zUmbIw8QN9hCA5XniRI45RIRIYeyYVWX5alXJDE/mNfMd+YoH1+4I24A2p2EGZjvb2lQUfx/Xa/rqj9Xrw//+cHrg1++4GPe/c17KOvT0Pv69rn3J2fb5Nx7o1X9Knz75j9qmlhXANaUD9OtaeqyB690PEfsnBiW9Mu5bL5HcN2E90zAeriv3h6KDTaWMO89EvTWLW7tEWK49DFSy6i9zfEeacgB4weBlumxI1sOtWpzCC/vLQGTnLnuc0UELaoIvGvTdO+ppZ8/9Os/46//9J0/iX1/J2Y4G3tSECVUg0c4shhdf+pjgYVc24UDWa0riSYHNym0Cgifli+zDgnVrcir2OZGqNI6/QG+PUQNyuCMpORVoJD4DehkZgrNAXzWt9jXijxLowQ0gBzaxWQIb6HPmOsjKbUT7xbNHayqozNmrr+gOAeDVUltT4lpLUYSRGQYDecBF0oEelXhsPZJigjyPoU6Nrbw7YO5kN+G3dZd1karQNUOXdToKS/BiNM7+CNy34DJKWRuZFLp0cuYUgfnd0C3AIXl0NUJBAWGWOZ4sQNe9xnqVy0WpSf+tzt1yRUwAsg+ZoBH9HuQYJSM2SY3VrvFDhGhzGqCVGfKfXFNvwdYr1Wovvzx4Z9/9uvFzzc+oL959jfPaI5sIRw8+kIiH5sDti+S03OGsA5V8YaKeg/p5FYdSJ8o9eCOzEASGproAsPAWgRmwZtHugygy7MnaQioV18GgJ1AqYv9W11rNgvfgZmter60qpHMu+6lfslYZeGjB41eGBsJ5a45E5tdbaotFnfae/xM/+0CQvnY4eB8xPgGeJjoTGqZGWEdk0LQWB7Z5jEZI52WRy2s41YFou1nlD9ZOo1x8EMKJ1LcJ3obiDmp8upl7hB0Ukp9/GgHH14KuS26HcXI+efxkCEywu7zaEaqIBNHKXIiOxybXFnCuVifTqu8AzqCnjAagcFVCXDTIxIUzBN7pKeQGope6zG87Xk0IDytYI7R5ZjpYdQJrsonh6PlOZ0kFcDdU4+DOHe04KKsKCej6ELHCnN4x6OxNGGuipesEyiHOmSto/SJX1GPtvysemczpPegUxqSVgecpfkIiGOw6iK83zOl02mFCNhhqGttHqEvQfUB5Q80xC5RDGSJNTKQWpL88aioUKzux7qJoAPOPjSnRfSQLsX8hLWaSH7JWW29UVfVk1li9pDvzT/futb9x7f+cr38cb3F+z3/8fu3f/0P/P1vc78H+3Z1kypIh/k7YZRH2B0ALXtnDPk4RFZdhqqaO16QGVR5ux2hd0g1nN9KternV//y208//3RdX/ZqibXon8y/ez6/fe5vnw1yX7wkG1rVZoTo44LuE3uZ1pRZjZ9+u3Tp3VXfZ8tz39r8WFfSAeaNRDPbBiYx0WCfVMKq0jyOoqw7LoOJNt120iSfqPeJpkVpMFyzB13sxlQVTWHTml5ta79ct6s9TC+m0OzCGFN3E10XanjCHuCVLS44RSzfln0tNnvGZeziMq7oJZXQHL6qsrQRGCwPbM3SHn17S5h7g+W+25eLdew15Qm0jKvKHiQr3xH32OgmayWiv1Fs2CN4kCBsJsBrG9V9qNMcy/nKT8pmQHfW2Nif1Ut7dUHlZQxFtcvcEqUkzNwFjJMXEAl1m+DkgAXYMYrE31Ts8INWl6erxi6KRaf8I/002G5BKh3X2NHmQdEgYIPPHbfRIQ9cGG5uFFsBTAYwzBRVPXk05545EEo58Rem23S7T58By7L6HONM3lCxXWSMR4NzlgQUCtksiNsOGoiK9nJXWygfzTTs9/393lxgf9b+en2oPJ0FFAABAABJREFUSry+LLzexyP5lgTd+zYljvfcEHfjfrtONbBb/B5r+qtRL67qdVWv19X+XLwKxeHeOIh3zb4XJLxqQTMwvEuM9obahuBtAx7NWwLn1hb2jbmt7X3PjHL4YmqszL42vWnwuTMf6CybEjtEbtCyyEdl06pFj70J0BwPCl3YJhvdF375qX77py+//PV1vfTpN75D4PseTQYBcLISzuE2+qRgU3AXjGGznaBoAlCjJwLXKL1T0pg56lBP6xjgKoGWBh7/VNyNoK91fTqEHUhXW6wVRvK4G5/ZzSLboE87aOpeZVYDSYZWtAkMpC+SDapPtDBArinV5rDcCfy6TjKI1UktC4IjqwmBPcE222UmB2LObymbvgNzP6qMk0ged5/hBYPn5jVdodFLNShyCTcJs1KCHN1BNp4p1nAacDg8wy61j28e9olezMhGwmkdFVTHf5eN8KDBjVZp5dwKtNFlJF04vyLjTkjywPmmIGLhof1GR2NYFdOoJyxkcTKsAWncKGyHUgmpgVgyLLQNdl2rlGaL12tdH/r6Zf3868eC7+8X6tvn55/du4u4a1S1ZhlpraV3XOlhn1vtgegGdMsfnm/sqyRifCWE1JXSFqy2iFsnFiXuYU1Xz+wcOCoAWM7oYqiiGRGLoylevXhN3UX5qgL5xXNj646u5IxehmVc21Pz3ac0fpe6cW3G97ArgohUfXnpBEiSlG8Mzz5feIAeQVWEvG1XE0MbU8U5jlNDPGHyh1CrkkTUODVKoW6SiGEqsot9zpVIXQTakd3hGDSZkJyjAjzSF1rhRVAYo2QVieFxhFYil6zo7hcewwIzfji41bAehDoyBEuPaHafUooZdLLKKhll5xHl0SrFv+aoK8LXI+qTk6UySBbYScxjlz01HQcfJsoiEcI2gxJmT/D55WPjQ0SJUcsqu0+Ch6If9oM6QIx9BqBqE1XxdsSuwEqeir3P6QhwMHKVWFeiaohjDMlfqTSC2vIZ7DwDJV+fSo4UTyFc9gxnn5fx0GWRKR+dLuQi1sAWLqDSKFB1ZvZuVOLB3FubSE4RgLxzMLos0zXWBQ0cecfkoFeptCpyRcmsH/lmC0dGRkO1IJvLjIJkRJKzh/YwwWC6ENHwuHoIlqTvmvrUt2qW8O/3e9Dt9+f+9t5/+3P++Lf5H//93p/bJIvzDtRleBk6SXaCVJ1IIAZMC3ACHs7UpYWThr0XA2WV6scTkpDKRfDj0vUzf/vLx69fry8XPz5er5V4l/lDe99X1z13sdoeoK8uXNIeqmXX9q3cA17MTTy4wHajWp6NVeq63h7Is1Gro7a/yykdOV1Oj20Nk3erI3dn0nzPsmhhQJNPxlv5iD+rx6TGr/gPizWlxjGkQDKXubHlumqwEzpZ9FQVoZYMLXOhSt7dy0vqscC6HujN7Kt4W1tXFU9vDomqVhfdvTxoLVZicBaOi8Qf132j1/3nFLxhvguCS+jVziiVqCB45BVKVkiUTEJ7F4FqoHT5CtufnrWu2YIE1brOni6NXSNyOSjxafvLdGRi4iEntO12T5OTXKmYdd1URvEEKJTz3wsCm3J1BgtfIDD0RcDaSc4ljpGZJOoD2FXh348TVwarhMGtc0hC6Wc15aL28YoWNeT2Ex0c57XDiiWFwYQJbFVmhewAWehXydHH5yQWuNjDLJMVFXMIbroK8zauxFmAJ20iJgcqm6DVD0CHIZpKHVyFfjAeMfbGZ8rsLI3u79x7/fxV5KW9P4V9e9AlbHvuYLjrO93am/aEYqxxg/is6T8BuhrNXVdVVy9fq4tcXUWkW2G0E0SQ2BASnNT4ihszuCGIM/LM7d5vztb375rbIznf9B39KWZrbLJ9o6BBRszyCH4UwUNC3kx/vKcwZnZ9Q29YKe44eAaUuRFfyr/8cv3lX+qn37pfDl4y4/enZryBKrErGreggmN3xlkAzcuSGhP0CQ2wkw1Ga5I6JRRW8AStLg8rvr+ExBWp1OfoUNARqWIZamJvrMbcLh/IT+jGxE32iBLrjBtEho9DuCaqvJT4DSxodKQzJNFVaiU7ruBya025BKDEIE4MNM+n9CQ8cQ/B06U6vhkxAVhPm1DDQd6L0eVzCutgqTVOcj1kQ6wT4cFii7HAEa7VRY3Shwe5ESqRsQ5bVJ1QyggpZcQTEhUDPYljcuBBcZJFwnMiuU52z+zgoGlKAUyPp9rjZmtJJfZ6PZK/7PfRGbDREJLvYlWnnNoeNCZCIbg5UAt7vGICCT1imEOg0OqOyFxrugqD6yLKbrjxU6/fftX3z9fv3+Zf//U/ojz2Qg/66jS9jzfZ5QbV0Ir8HLGwkl3e+PiQJqUH5ZlGqTSBarJqXpjhVeCWGglkiiLtUaclFHP17EEhxat7kGi4ZOgXkv3RPwVXW59/7rVrsHM+WViGpmxV43PcYEuXa8BO3eAFbq1kLLE/MapwPJsipO1DjjLFhoocIqsZ9Q7Ce4Ddp7Ce2Jvr6N8zc5FQXjs7XHwdbTBY4H4U5EC4tWwMZ1unz4jvE2cdPTYmTW3IcoiCdCKBhi6IkCfEGAsinzh1As7fkCip56bBIZEdkS5P2v/IOTQkgItz+oXwSLLPf5yzAXlSx3gSecDZA/aEMLHnB7SeQTnsGU7Svk9HRAVUwVNPiEG4l06wYdOHLgyM9SMHFafRrUFHUFNXCsDBVlS4h2Rvcic3QAJKnCILS05cQSSD0Jaa3Dh2PdKHRQ6OSgk6x7SOezs6r/Pz42huylaeYcZaGycg0ZA8CjExrLFWdTXWddUVulfVa793No4+EBTqGk8iO4/LMN9FQDOeZpKjlSoBJ8joOCtgHwPIZEaL92nsVaVN1vFhtNieYQKJ61gCZMynPocCx/t9+4/Pz4LnzT/v/f0Pffvj/vbdcndTVl1M+tqJUxiceOBQZmCwJBRZtsYgo83kGFwiEiLIgtApAiyQWQ/8cfH6qJ++XD996WvN9cLry+u12Fytvqf+2L6/bWwO2MXhru+5Gcjblm852EgvT191o7+SnqrFa/qFvgjwLpnS1NubKhbE4bGKxZlaiqXiWJ5XbF4wkKXVGzZj5kjAxvjUqdbN7HWF2Tz5V6jSYHECUIHdxk6cJuaNSq1wM+uHUUNdwF3WqipU3Wtxs+vF7pq7C5Oh3uNys6y0LBcJFafcveDlK7RVY5h09iOfK+K1+suLX+37p36/Z791AyNJYwL0AlGhD8r2uoIS9CpVLVoZLBfJvPcrcUGvPdbCzB6xzPe8Cy3UnnldpTtBaQUwJuGRO/b/KMtd3TBqwwfBBk6iUOr8EhxYqgN5BsggDgpQUKVQTCnHy3RYPqLRqrYUyjQBBCUNQ7AIjDU9pcck9/h0G5mmBTc6hE7EvohxGHUiy5DguCkeOm9AhliK3neTjaqSB90nT1s025VkI5nlUea7ZPyRmBksVnU0HQbAYf43G4UCZ1Y5oBU1ClFEosQ7UXAoCu9vo1su3H/689e5+qSbfUp7W4KmrcTyGNZGOBtJPTXtIftAIGSNbs38OfGhNW60V7O7l8vXJFwILcK12IscsCzA04agy9S39/j73Pbcum/pTkxqhU5JkM1IZVl1inHCvydKNt95rjFE44pxYcb35Dz6oZmN3SQy0s67Tb0aP//Tx1/+uX/9reoFQQPrXvd7a4zEkg2E1EjgMYESTtqOWqUMGxXkQweF8g/ZHp3sWShyGODsaCDRxTkG7yfbvlg8aToFq6J/uOFUQFmbXsnqOJ9HFQsa9Plv/CgNhErWQkdiwrhpux5yikxsNAvniCOQxo3ykwfcVUevUIc1rSoLSVJPWMmD4g8oO9CwYFctcAONh+RMgyBFGKcdsFlVSApLJHXJ/6y23enKWdzvZSh4rBdpV2B7HYxUkrs7HpzCUXTmNNFJ5cD53AHCMwFQjaE5jjxZj6U4kf1ZZSYmqpSN43CMdcTC8bQXyB9H7gkEA0RPrCPHDhebs0++ZKG2zIaf6tMi0qrk/DPXoNuQp9Mo+KXu/vjyyxd9+YL9SQ51SNkdK1oZohrtyPTLRNcCzPjzC7qHVubV8XlYqlPNxR2VxEqGahVHQ5lnzkIGupkjCufJi8W0fdROn/teeAXQENGFS6tlurWpzTSlgr01XbfYC6DGXmiUoP0oOm1Wp3Bnw6AxAiuthV3c22QV5J0xaKoKUwWz4ZDbEXxMoktcjwso35IjOnFZ4atjYMMTgm3YzsKto3s9bFbEiEfkYZ3wGZ7UjXBPJ1uKJq24eZDpOu/4yGk6yJCwEGAxYp2I8s9HHloq20GeY8abjKNE9cHhd/jPrAX5e3i8ZFHTFMKon7YrLTBxTzCPXz0NLmd7qPx9UXGU49GF4242Hce/qSqPVTo/7iQuaQAmhaNo7GGd23FArkWwOo6SqoFPQOx9tFfbJ53jpBUlAlKOrUfYmS/eEPfzWYQiBSjcOEKrfLBRaY7PWB1lW8rPSvZ5igZOMIGLsDuuJCHh0diiuRmPAkjyWuv2jfTI8HW/dzw/tXISxh2UxBRaRw/DQBhskyehyn5CVdydbdCRM5KYBDMsapvFjDU9isBCJWLogdon6U2XrTfU1zvKsY1v/GyctfTzjfvb3J+6t7qtpGKdNRrgnkSTKslPwakWcgsq8BvC0Ur74yu/fH0V29LneyKj+cYbY7AscoFjstdCIt5Ywy5DjatR1Xj/7eO//+f/8ud/bOkjtInufjde3ylu3HgsZKPF2cCIF1dfLFAuv66ae914I+bx920McItvN0h5w+UeZmNBbl0lAwP0Af/h0cHVtifkL1ZFnbVFtttqaKu7vA1UQhYYer6KJadLPPdUFqvc/2FxCm1G1IttYQ+XCFHbs4ppc62FtTrp2f4qJw3TkUBVNVc9kF6MNlFnjbhSulbVXKoF+qNnPNoj7O0B9j0C75mTDZxu31u9grEXoao2No7Wnqte4PC6ILBF43MXNJC/oCRPsQKYVBO8jzz4qblRoUXFWhz0e8DQq8eT5MnCaxxLF5WaGqUcqepJII3t8OC+bPc9W51Cq4b2DgzgBBJN1v8eeEuOjdW2p6MFg0eAd5AKyoAEHbXYQRYdotQABhO1yjP5Jy9gw+XKDcTgKFH1dcF2hn+gmp7kpWaXhEJ9hIkY/9AFkARgp+w84yi7gQkW+nwQBWyoVCek0gOVa6t79KnZYtdmNTwRcQncuGNWOywW5Rl0F3BnBKQlFFCF7as9ts8WC8zGbTVVsQ2XliEOV8r0yEoopmu04dGnNveGvOEliTt9F5pBTKFbULsFefHEmAjuokM5yvQIKsYvYMyW7CR9nTpOVBQYjSpoP9QIl76u/u2v/de/rl/+cvUXb89MCfzcGvl0QxpEHUfyE3w1SIgXCKKjQIqAJB7dE/QeED6raQpaDFev7R0lLwFIbAvRlBOsSOSfm9hTwCbhLm+W0tVaATxp5ovJGe1NFNqeDKmO+gclq40UA1TGBkLFoquioCBRaB3YHEqySIFuJ//cOsXgKdPtahVXvMTugJj6EWoDM5I5OprSyr8hGQKI9sNFnmCJrD0EwYgXmO+b+Zxd7S5oSkmn23Y1KNzyVQH2za6wdAdsBVAoxA51enLm6X8SkpbW0QoFv418wpF2kEnRJlYIlKu7OZrVF6uzL7eaGLkwQ/TUUSMgdP4wH8RBnAYFaFV02SXeEC+c4hIIz8Xsk4ggs6uuVb4KKO7Zd0INiI/r6/a87+kba40X4VapdmhhjArKbpD4rrgVjaqaObLPqhZm54nrGh8CZjjYfsD+Mvd4NfYQmEbbldK+hJc/O2jbnBmiZpQ+4mYJ7KuunzA1/N7CaPsk5aTcAtrqZOFvGfRSlblZkJb8rmqlAxPMdiekrMgyunZsuQFooEz/lO1ukpS2ip1V8DGlsjK3RyoF76T3Rw/ywxsQp9p4MSdNvmQKMZk/+GD8zTgvWMhu80c4NA4yDXCA0tGeTAMb6ihGOVpjdJ5nEJGeQofTyOw/QAeFz+ce0VPppFVnFEc4bRzrwiGGA9FzdKo8jyNJjuTyhPvGPo8jWWPJOs6lZIB7XB02Lvs2YDLJhhm3oRMNJKoPu+3Bk5tucTCl6vbYGbhP6BlgzchgtsusNjCQLJQxbFN7wHQ5OLA5awLs44lyoZialCyRo1wd+wkRoSNKZxzV82wPROscCw4dN3X682xiqur2jy1tRGlm90dZrKKt9aV1+7YiaYDB6lzIg0lM2mMLp/IFheoxCkVJVWmyS8J5Vvo0cuYniQYZURELldfQMHAub9t3/FTcul9b2tjdvSin4nTNfmMbWwX46hIwZ8ZRkrX0sEam6yh6wsCCVoAkl0td9fXn17/89ePnL9c9+/e/7//423veb+YrMjAnN0ga6jqteepDfTca/e37/d/+v+9//R/f7/0qDMA9bE5Z4/HAZmFPEc3XoLvk2/wY6IWqMqntOE2NG36Db+ETEjHi7Z3xM6aQwN3KI4axOxax6GuyuOVEICAw5n5mlktF2mmJHSece9Aa+QXWlVYVohocWTHGbivRzns2p3b+pirPW/LMtmFz467zhne92C836rU8b1+LbmKhL5zowFleLLLYXS7XlDtZ1NXJE9KFNjRe7THTwSyXpfetwdoRPVfpnnmV/KQLVNUNFSrNw3ZxkqOPJjYFd3eulm0Tm1MucLSKcl0LCWJ6gTcT6J6Mqq5LiC68U4FmTJHJ+gtSboXPtGXXetmGJBkolxcsNcvAvA0YVxR+dZzMo8PM7EgWBeEePDP5zrueqiCN3CycE/QcZxFlyJ4fgTOTsxyO6jelPToJ8EB1dIOCI2c4UoGgRWrguGJkkuwjR7QI7LQtxU85gzqxdCc5gkTE7wwz7Ibk82/DCaKYUKyHl5WN+2YBuiyOb2SIPIT/5OQwZa7WjpYlMskOQXIyArNrKHqo8TkwSxZLZ0R3DyY36GaX30D5vimNqB6lC7S9n3VmR0D1DmBlFbZFNHvvHWi4lEtFWumUlycKy7JknWJYjgfO2W83c9Vid/XYiyFn+MuX65df8c//8vHLX3p9qfceDfbYM/dY0NLpXFL4FRkpGqWbUXnDwNMjWeeOpYqiQ1dF55+cKLmGP4J5lY3aoafrGJLO55KAewNCee+5oSGF1RrXjr/UjzSfgbanK4B4rCgoYiX+NIh60ZgYeLIOd5lc/DHS4yQGwZxe5O5z6wbtIRMpH3ZBbbCkpApE5gpG3gwoETmP/vls/BewkQzDyPoLBpqd/epkrAPxh9Kq0wVILEQdGGvrKo5hyKiwHjHo5XWI6KHxWCSOccbZh8HkkxgAOU2erXt4DrSDVcZFMIXWiRMB0NBUByIgHwTA1dnPKUMeECWpTzyQdQQYJFrEtBov5OCp4tyuly6G0uEck9l0AT8SmiiiIWjz+5/t10bh46o9OU/y49WTmhcg0dVonCj6SvRLTStR8jV9wogFNzkpT0G2rpEBdyK3AHKmWTM/kp3yRLSza2NphHYdcq7uzOcuiPWS0KTX61o9/qT/XPNdCncy+ZiOuyNtGmO7xyTvavhulORKOXbV0b4XoEmU5laSM0s1nlfXRoMRqY25n8FrV1IXzH5GxMIxawyS42ewiHxpOG5W+3y9HWEa+NjrfSZXhJxW1OV5nUSj2PRkCM11Aj/4DZwZNVFK4QO44pehDu4a1yQ7uEhGrsPDIMK2ZggjHpLj5H0GxE00PKDN1A08kFl8BzJLR3DC0KvOYHmMuT6yHoTPlHW67iLKcz1eOR4onVH8I641x8kLpQUwilyYQhdQY/V9TxV5LNhzQDcnzAwIBgQnhs2bSk7HUccoahioA8mHUg9HYri8QwBJ0nlXImGKcCXfSFQKcQa7DzOR6YfHUJYYbjkKVbIpBf7QJ7QGF9on86BfxYFoDKbUU+OIN0/scuVBURmjQlVBT65ijAIO24Mu7GOJ2HkUmFM6cgojtohEqR092pQLjYakRUbG49AFPbcDmcGY/UbCg8JjDMNyayBxn7JEO8D3+JxqYZaNeGc42T6nvvLrT/jLX/0vv3qzrn8D3H/+6e839j3YNoXocDR7X9/f4N+mfylRq/H9vd/iv/2X//jX/zb17hUdvor1Blc4LY2PQvZcNimhoGPW+IjVb0rWzLyx/5z95+gNDE6jkFFoH2yU6QT8wZ0d9ZtY0R+wixw9A1mCnmzwAh5ZHQApMMhYGX2Hs6uulDxfAG1V9XmcCMiadwa2YL+j+7Gb37Zw3HR5Plv37etT72p16Ta6e8GNaS7Obu5SXZ7FdaELbK7leSo2VQUUeiLg6iJEDtToQq26CqLm6xXafKzSie7xLRn+gplCRYYUa4Ore26z1C4OpnocG0Oty3OP2IZL3iAO959TwmBX7+z+aEI1M2zUVYSedE8K2A+symqKo7tSxzWas8mxYkZ4rYeYRLUxFiERbo9lyeVt0yI9qU4ZFRq+rSUdk3DwJS9r2CXjpIIKeU9BzpZP5HAOHYlOq3KUjccKGT2vT2qQkIuGrtEw+gWBgYBxlsnkHoH22H1YyJBT0bKXfbbSRDpmbjMV7VpklypwHwnl5MwnJGvkvAMRJyQHXfCqmqCXJw2xHuWoXOhh2t3KilbYrmTtuqcmTKk02GliD0RoaIh+37ON8PF53k8Sj8oexCfCyl1Fn9DXuXcg6BTaIJbvlBLcRe+t4qkItlHYm+qkvcnkiFzCNIrCR0GF19Vfv/Zvv9Y//T9ev/21uLg/dc/eW5j6/DaTK2dot6jqOir1YVV1oamuisIzmL8zM2bfUoB2W8wNPtZxeqSNihmoZSaUB6hqx9eiLHEwNXrP4KaFrfBQqcnZKepAwg+OBi1DHiBOYQV3Pir1k/SDLnjghTIy0iPkPfuZiaOFbGtIq8ojEj+qOIP1QHWkzjU6u2jzOBqiXgEAdANqF0Si2mQVy9zb4bOrMEaqoycqwXAZRFJMyh5uri4t2Xi/p0LPL/yQrpTCCJ8Pf/LtmCb7dBvnwgWU4txI/CPzkUhZ4EqTvMQFoDneRNNgD12rijzRq1J1RfYAURbWecd5qIWBPMw3fioCShYMruLtYg28WkZxNYTd1a2JMQUREBpgg1eUR0tgbetv38XP7/sWFq4XGnhXJR5kWV7UfcIhC+3l+D1Z5b21y7FltEp0L89UMtWKvvPQOpzmSDoxqYbbnkXIutj3cm2WtaVDZT8nu4xaT/raHgN+u2msvteuWvz5aK62n73Mj+PurKvB9Sli6U403A6EwvC/qIa0WbWCoyMDnHfLw9uZZmoXYK0qAyfwaQf392CSwqFyn/M6U6PJ1JMgJDazanj+kaOZKR4+g7bpB+GJJigDuklqNAzkfV6V8uOJP/bQo+wE0k28ALiCFDC/WOZwGnmii+nHyxPMM6eGWgjwb2I7z5AG9EyhxlNywPFHqUoieaBMY40NwwpTODikB1BPEUBFqpIDCMWTTlE8raKslBWeJRoHuF8layXl+ngCdC4xn7UFaCgrh04IQqWow5pbtpSO7pRSakRndBizOKp1RsTsYAU6xs4omnRCtTUIMuNDRmS9MSbfSuwgz6bEg6k3PcHxJ+4L7uzWA93z+Y1XY60LzSn3kUpU1dqSW9wzE/kVn6nx6C3b5M6SNK5oAMkf60+6R48CILtKYuOyBu5y0Ut6QjHoLgKYe6NZb9/xiuaQzqwxU4BL7yHhNhZyRo5AKTL3A5lkGT2mTtBHelkkubNinsqxLz/1X/6y/rf/9et/+ucv77mv12vvb3vP65ssakZd4l3qeeM7vr+n36/6/Pz8+lO9v8/r9fH++/f/8V/x+x/lWSS6bO/sQ6s4qtLO3C2grqKLvs1eQCEjSu3tz+++v3n/4f255zs83KPTaVMocWzLmvNaVZcmunqH9912sc8smb8wqtvKMqgjAKAjtijVhpnFjVDZ5YkNsWuthYVrJSwLrJCYh1pNVGsbQN0nQQ/yzG5AGM4NtOa9qumS3p/7en3w4nLTN9zkXc0edhc/u5bLtRBf6H1p1VXFXuC1Ft1dquoVv1HqoovEkihP1ws2yYsy3cOqfc8eCS0NaJm2MF7G/YbkvRWgnmJvbM8A3g4ZC22jVNYYPU6IUISv5rxzUJgN35rwFlUMTVzRSkjDahht+H6rVnE4CYt7FeH9/S4vX3NX8a2uVtyvO04QyOrhyFETYe9qqkoilmcIgeImJLI2gLV1K3+7gcr5kkqmRyEaUb4qIb1JepwUsZtdDUWu52RzT0aQxd6HD3BSAZxJX2Mdb+M8Izhoun2ifk/HIp/z0qaA7h+r2bEDy+zwVAUh6WMguTmVar8cfc9O4+QUV3PULIVfC2Nm01hZgkgmLO/sCwF6ZFALvJfbY1eRqzxmPVXq0VtCsnBLrYK2sQb+MQ/vPfmTEyFJckUR99FZS/QG0r+eGnZB+8S30ifEMa4uWQcJu7rhn179yy/986/85V9ev/5S/TPv77ptoe7Z39/2Hte6NxAhH0BlbIwaBTK9yuy65H3o/iRETeTXZaAH6IW0TF/kdkDOzoEeyRjgk8DrtHZFCFgAdGuP/fbscLsyq6q3pWp6F9rkswb+kCrHt1gIWVsRsrDMk5RosJEkg8zFQTsHLp40jFqFfSyfQi4Kx+mAE9SRfiVlogews9L4RBCTiSA9DFoV10pdZsoQAAB2GASSy+yWTwO83RWl3annSolRS+g10AiVsJakM1cF74S7OGlFQRkDthRy3TCreVpfyTqqHcIp3W6cT8JhCEhXqvvgOjrDuRLIgPihFf0AcRVDHpM8+cWTyScPfGK5iYEpfW4CL15qVNJLoVLHfMpOxdvBgGmzl4W7ea1ecM3ovXUPPu+7gC7gcqu4w310hDxNBTiBQJOmUo2DOOdBOJS4XfLOAkhxgl1vz1YaiWBrBwUspbLQuOChwWpjk8u30RhMq7niloLjcirFgHnD41V1/byUGobRbFd5KmJQGuB4hGIyVCAyZK/BOp3WlcqPRZY8FIk2jRbRW/HUEN0UgDJ35rjYbs/XLDU7BiFDJaH6B+HPkn+0YZ7QoRN5ahCY5MBW1SMUwXnKRGaqPHJ5saw0jvLk1R/aVMFDcYQGKeXqspZPezwQM9wRfwJA6gPkqqMtoMNyO5qEDOTZhxKBxSIR/vRkUByKouCTwnlugGg5aLD7kRzFqZLoLodNiCYVkY8Z089edugFVj6SBCmh6qlaJfPF4iwIOZdKp++ak+fehFNshoP0W8LIR93js7kzKkY5Skc1JkZZnKhRH0ENU2vIQ5HHk01vAAkVZ84CV8oOW9hBWlCdCNFKhqwIJVQ2DrziUBjeuvcQ/F71+rnrpIR3kfR8qIy6221Io8E2aCixRgyMg+WTF8Q5X0WH8WYgdzLZSRXr9NkMMtr78Je0jnce41ocPTw98pM2sZlFJ1kKAo2+yjkgwoBsRmh1QsdjMTFLyWzKdX/22Da2SKNe/vW36+dfrl++Xr/98gIv+fu//0f/x7+O9fLcUJUG3YK219zWnzeu+6P4t9ci8eL7/elv3z59I/06M9FroOztgu8hWlb36sKLvGBefI0usvq29R37295/w/wN3/7c+Czt8ZbNuCKMIoaJukYB+2i/ctjkVQK6lmonIpIdZCCmcsg6va8Zn46klMXzqRToKKkKJKPq4bs/l2vdBGqBdqHYvYyTHDTPZGTa3EaSQTpKvm335sY7sT0l95s0qppT7KaGLOwamHe6P45yr8t1r14kar25vHpx1ccFX9XNjw/iwHmeDeGdbhwW3L0EarasPVs3BCkBW4kYpYV932NYULra3dst7L1Rh1CycNto877w9PO1Oez8TUHRC/E0ElMTWNFrTBbXYVIboybXzJ100g3h+1QiNTR4CUmj4i7INJVsBIDck/vbUGJ8WrVB8p3sOOvJrbFA8B3xsy2xIjkadtjFoz60QXZp4zGGYsDtXWXtVaxniMhEkNY1R54AW2YzCmnPGMZO8orCGtbhbOMRDFqBHEJOILBR/CEfNDkUyQ0TXTVS8YoJDLDmihj5yEOq5CNe7SM3qJymVZy0mIxzKWqUgbfQWAYZBKcf/+NgNbaMXigdLfUAEabsdF4LVb4GI2MuXqohh1tG3JEhvxWFeBL1DKMgqBN+pzmjPgRpbJUeKO7o1+3b1X2NxyhxfX19/MSPv6xf/uX102+qF+Da0vfb377P98/5/DTZO4O4k6FRKif+kgW5F82qulyFWZGBdgEeFdVdJ0nGwhRYRk9OCPcpoCnFKhhYFjgDYuepA/Z3zZbu84WNRugayeCeKmufFNK4xR17ZtL/0nTRpwhoFVAcCaFkrpWncNCrEQ6VhbiiscRNsWoBky0CVukR0pOgV5BvmnPIKNVzO0UMdVw9DZhLy9xiszBGE2af1MNRdyFbIa6yqgwuBit3FN4hoaXVXbZmf0aCUSSLxqZyMdeSkNw+jIulGduJSgAiuCHdtCykDiw5IPkRuF0taqkNgAsailUgl2sBnK6l6PUYPKhOHit78n5Gmpt/c5IF+AiOLFZT2vOJN826uLYZXUkB9Soj1TAKlVJWeRG8yssqq3bfLRQLqzlTKNYa3KV90/kCCppBNTbpLa29twftmg1rkPFIe9ITOXSmfEGWxhgb1FhHbHKuv4Ng0zS6PEXcVQoZ06YrISuZUyir3Ck+JEZlvL1m3etjXff4raKTW+oRlcm9Y/M4VgpSVLELNXKRg4mT+E3Tu7gIb8J8F3vnm4GJacKb3QXsVuXfSGIg5HSC4Dqhq0g+nM5jfzIkUTr79dGWgZMB/7BLZLJrPVGKZac98PxJiuBZDnMP1A9Bf/nHvzTKfRjgijXCmbOhyE/IcvpC447h0e5DhVRj+vjPjz7jgRqRI5hIxNb5Z+rYVGYYe3gh0QRVUKDtCN7z+Ff6T8IkEgDcOLsPQbmbGByuIpaISYaAjmuBqcIk7STXBSxNOI7kE/ETJBAnBijHiiZ09bNSt6vSHhaT0LEtBwYrHuvRyM02c0DpACQ/1rgyfOSAXW1tFI6SLgCXjrTpCMEfQuiQlFtMdlPaHaf2n9rzienXLx8djr59scERcSWcYGqWmu2dz8RbLoJbU4YrRdeFeNVJyKPudTxjQURgYiCKcwKcI88coDbYHhu1hVo/aE4DuLkJlqvg4gY5mkbd0hN7EjAyqioglILPGXnEXzibafIqPAnVmq8f/fVLX2XAn5+bxL6x75rNewQvnL68KHVnSO6G9G3YnlmAZC3iKo1BDTq26WA0nsRRqfGx+PpS1YVCXIaQ7+/gnv1N3/5N9+/6/qf2bdy2y4jxszpoLckZi+1wShF/FR8RLgFo0q/z/LBXCFnKRuFGwh5Py8/RQcNSqe/W8tnHQKPpOwLpwRRgfc9DNEW8WaN3qTmOYSzJMj5yWA9zu1ayUMCZ7c33zUKZjXLV6cpAoeyhSt4IEuDUDor4zsUi3KvwWSVe1auK7I9Vy3Sg3RJvPMuOAOvYnWb7DLG4NYWzlHrDGvuEqMoqY1dRlEqarOWyDda2dQvsolhWqX6o7BiJVHZ08dJwEQkHTiGnD0eD7UjfIJATtd6OXBYYpgQUmQZP1EEixQA4Wc95bVGmJXXxwMXgSQSmjeqI7SKyOSLCMJ1PRtChg8MvkbYn3iHF9wNTZ5dh2Ql2iyo5AgQ2PI6F7MhL2zGPHvtwdI5ymGhUPKY+K/rDUdsRjOYMxRGraZJR4mDaTBibj+IYSKgKq1b1gALr4+tcrPWq7lMwwpkt36LMGe3PGUkBGIaF2tFcqIBv9GLFowZwRRe3ZYgaUewiaPnEkGisIW+XfQdIHcYDHb9e1JknbmDSKRISWSmmwRBT8hw3UUX3j1ctCW/MR3/55Zf6+it+/evrp7/2z7+ZiwK9fd/6tuf7jfsu9/jWJo8i1mYheskit11QFbpwjsVqpFOQIFuTm2gMVCDnPBAnehHHhLuqh06HLt0ZE+IzmJqAVjsxEJwNdKoLPMfl8ZTVlraqykzqZHScdVVNEVVmB0VDdM+G5czXrHqqeXhuvMgU3dFiD6vCeu5GDaKyEVhtJ3KisreHpAfz/8qYGOUADJSXD1fhnFDn+QXS5OsurqrKnNVcjDy5ksjkca/S5mqk3raA+5YhWJ2WGlYAMuT1cZ6unGaBGip2n/BPCNdkBO8PBCoA3WyC7EoSNzqf7kKhu12LoE8yob0bpDRVhCfSdB9RRv6mqu3JuCSVWCXn8MKMt61aDX2YxaGx0VeSwAvkU4/E0IdjF7oUq4KqWSEjdr4aucmb8h50ZB0aS7SsmzY99uRcP2fZaLBx66hYPB7hHPLbPqI2QFl34hdJIzrlTi4rD1o7T2RkhIoU1GtJvkjdcOP9FvhOQkw16oNt3iFWF/lGlFHxlPCELIGnrif6rGjSI0tqgqMhXJUAoqwsDNY9lafVnQOXiIPpQtnehQKaEYOPUltFsZsbNixX0tKsMPY8zEwy5k5e3k49V37Ag80islACUY1EWVyqpykm0M0Bjxx9ZyxG4GLGtiPORhJ+jwgUseqeJhE+chJk9TxCSJyzk8eZY4DYVh1topOAiXElvrOO+QePQWfI6uNrRsVQV+fffz4E59athJpPUhqy/ypgWWrLzs5w3NZ2pUc456sDrkchXzA2RucBEhjOLjx5BiIRld00u7aFlF4HKwHODetCsUaBxHEunCPeMg/3CSApx2YvWJHQ2pS6SjIa9XBToDGCPF3cyYaYKvINl8V32fpsY7i+rrWk5VqdRJ9modNFXh2RLUt7Ky9X8rK1ocX2sSTbJw4xwHWunX7O22KHKJLRIa8koct7xFWGPGc4OYbwGNLLEtW2hDnPJPvojH5YKuqHUtuJgTUft4tpVjS5HKe6qFmryE3+/u3urvmc//I/7n//98/ff7/nDWk6TRpmfPNQ8hbKGIl7Z9y/E54VvcMgsoq882ZVFfujr65aa7UStOfxfkvve//9/fn7vL9pbs5bGGvy+eXXN+ASb/vUGoyP5ltAI4Nk8cSN5J7SUeYrJ5MY4Vyd5K4kvQQ+SJpziLATJDCDMy82JVG7znuUEAgMKaUkxKdLAw6Wj13xDSYNQyVHhu8L2BFrwHsyQXrwpqPZ7RFdaIzFoPQo7MRqGXifXOGruwm3+XkET0IjuhM2arhjoYcAK0HuODpb7LMIYnroMgORIp1JUSMATD1TFceOvZd6BJbLVrx/RnN8qgC6Z5OdMDzUm/8/ov5tV7LsShbEzMaYy3dEZpJFFtnn9AVoHbUaUEMPAqT//w49NCCgoYZafalTRTIzI7b7msNMDzY9qh5YVWQywrfvteYcw667qor0rZNCE17SBnxng8sTXkgSfeVKWyE4eRBzW7F3xHpvqklHz55PriPnGK2yT/cY9TbQgOwo45DA9gO4l6Pu8zulAULSXoOCCWIVBmgjWS3xrdjpsWWCIeABWnaH/o9O5NCqASgipUknUtMiazDw0WPqdBHrnLo5K47YEpHJhjPInyi5wKrVbTYfX/SHn+svf/74+af19Uv/9PFYtOqe0efLr71fr9lTz9d8fu7X1ucT9+f9et4zI2BMCC+/oMSN1ECde8OtMcTs3PWew8bCwLdmIs5UVTL9q98b9yK2Et6KgktvHsWmyO04nxVtFVQicKLsG+4v9ctP/csf6w9/6l/+hK+/oLqkLWFUn/L9nPtFy5PM4eB3J61aE/2GwVVJ2XWpjwsq+gEeHVSTrdrtEI6T2bdAzxs5JY9K52hE4hFHybC4t+eGbtySgTSdbuXvr7KnquxNsXuVNB6pq+Vhjp5OVBPCXxlAJ3+W2ARmanV2e2HlNm3adYSMkd5E5NbcMi12tWnOeXCj1Wu/xddvXCgTAeN9JWz0NOgrg1HomXjL3VXucLAmlQz83ORd5mVs4xQxodxts/QgNWpgsfYWOZtkoByETi+E7645Dn4igWIWFborcyygHDBNKiHIAukWwGpkyXljeVjdjrOCAy5qaCrN2xpn/C+SFtQHgg2FwiRoQ7N94gW0i+A8XMTW1IuvXddDYtWDi6yaoFK8AGEGryloeNWZMYfXIuDt2h5P1Lg56rcGGHs4A92p36Inei8epO8m7b1zDHF7CuWJ3UUVPYkQ2UUTu1IJuzqz6QkrAISSFRztJLgZb2SW8NauKt/5XXjfLrPG0fMVjhI9W3KsMguzwQXY7AUJAxWcxtFk80n7vXVZIyRgIWJu18nxeQtxgkqrUO6bQyXQ1wbH6AgvFmAg97HYzdlZWxGLRQJiaUjZe6Pd7pBAyLF7xvmMpEaWbf074xszEILcqMwwnuXJI+z81Dmr0xKS0aBYR7aeLZpnSq6zvcfWGHHMARF9PsTQHUkVaLy337NnADFCH8V76S1p6KM5D1mcJazezQnE8dJmsD4mnPQeMrO930N6OoIU3d/EqH/0JrU16XENCjsWXRMS1RM2t5jHJPFgsHCsEUKdnzNwXfR/hINFiUVXFgfgnWqEamj65LHmI55oAJwnEd1RHwVM8thM6KDZhsJz1/kddy+Slrjhb/7c93VbX7s/suAVm4I65v5s0KtXjVZph9qgR1wPcbzLb4ww+KKzbmniMHbjLX5SiaySBl3lsoMMHE9V48CBPKYTJHrFVt0lqIG9uWjv/IdRRvT5bZ/l/4Svw3DC/msbyG8y7thaunXPXE/h20v719fzd//Lvzz/9o/93Am7wPsSO2Z5F4bDIwrD4rEQpfEPpMBKVgrkLnZV99W+Hr2qCSVQrsTXZ+3v9+vvt77P/iwYc4tzykbDo54sD5Ud6FrviDlzw6jsdnVEbgDEXVrvigbhAHgyU9JGUZ3lEVJKN+eUyELpMWVehYi0CNAeT6FG4vGnUY6i7zSQZerzgKeTSiY6VuRAUxgWseOHjkCjiKHwSoTCyZPeIS4lLzqVPUTiiEh1z+vFyn0c5WdGFZ3nHBxnnmCAWHHqLNLkSSf2HnAd5L7R4h6yScQxhCPGuNNYV9SReRQ6Kf8GyCrNmOvWrjTmlbWT5R/iPgoSJvWeTW2BkT9Xwg8Rg4tTFAk0ZZxwtZBVZ/I/Gl7A2W3TH8OTEh6ySePU2SRkK7/mgjBMjrCP1DhRIEdCDHA640xZcGsPm+gT7hJiZxVQ0C56H+/Xie8qLoPgLVehB5ORsRraJi1soE8kcOITHXAl0EWZ88ONl5/QAaPKPA/ne2TlblxeqoWrdH3t61p/+ufrv/jLT//xL+t61JeLf/hYC8L6Sra379HnxvO17/u+b8vcpoZ7a9sajOp+vr593k/5fj4/X5rX3K953XjNjJZenhsjKlqn+K02lLZpAR2PFWSOp1QG945zv9DltKn6XDwKrC3bCc/xdU6SZeux9tfr4/qn/sMvH7/84j/8EdcvK4kUe4+1ZmvuuY/FNxjK+/F9s+qVSEYS0SQYIXjYiD7inb3uVdzjBOhDqAdjJwu1lS03N0VCCCKlCARicm7sW5bvHaA2dxed2RxG01tC/v2UBKFqAV6VOHmymrj5RvWrZAw6HHZ+oihJ2+EfKnNyUBmjUXYqU5gQ9wiuiKrOxR20NX8YgLBGRmHc7SFWQ8DGCfaUA32Xj5ZkEloMoCufE4tHK1ztx6Nc6KoZVLSpqwxchtnXQtvbvlAb5JB1dnQAJzurf6QH4ofCCo2ADYU3jqrD8XYYE/loQKrK6qKWU39eLHGId2SqPZl0anRsIBy5mN6nCJMPLYGSEwDYle82iYs29ktYDXIa7XduzpZWlc1uJBDa06Zv7IZxl4buVUWgGStpuS4hIYko1jZ8e4/3Nm5jCElDaKaqBczMEMa4vDPm81ZgLJUJVKyA+U3tM8/FBXv+XTrdnVA1eZCU851nE/KGm11bcwY0GaV7DLjTK13qzPvncogLuhPLfWYRV+B308msMoEjjcSP0C0fri5bmmlU1k2edjBwzSTUOGt9Ji3tNNC44IMvHPoOUsorqQkxc4vNd2ks2IQHVRixm0mmy7BUoaCwM1ZGnBJxWbpDhNwMQCmXCZoxZB5ZJ7NXBOA3BESAn+kw+FN+QFbB4yqaycTyW6aDAwVEKJpv7GwQ53Z0oZE992jmTlovgaoT55kqlPeIj+imj+NhEjRQK7mr7/9qaPCs9ZaqTu6EnHguJRzo4DW0tQ8YdqTYcUd58tPm9FDmlGM0yNH1Vg9EWJ2nU2DqqQOF4EAwBTv80VlWsx4cZicerRCBVRgbg3PCCM7xl92MnMPo5o2opg1N1VPbQ1h1dYlZIZvbxOmrE8lV/Zrd3RMc7MgNVlqzBMC+/EMdcRY72gnDnSwFx5eaNxbEURPRDOaKkcGIzM9MMGdLhkuc3q020vozYEbhdycBDDKLP/utteLblEKKbKIozPb91P7Gb8Lv1q+/zd//dv/62+iGZuoYvgpZxHxyR4oUC4seVaGuFt5gsoMFVjerqhurihd6ZUajVCXotZ+/+/tvL38zdnuPLQ2ZKBdkckIyUaCAuiE7630FHw1dQMssPoFaSw2f9pC3L8ZW3payduZn+K2weI/FWcXHqGrpffMiL7gqOJ7fsfOJwQtdkCs/W8OeYdlYrbnz6MJmbZ6zKnynT7F80p6aPEGDOASjav+7/GOGeaVH9KLtO21B8MQZNJIR4xSVYAwg+uopFLoOkgYvVRZjwM3akskGdjI1rUnWvJtoUW5zgJV9t7jtMxlssNtyHz0FTnReXt3TAkowcVrHIlVMZgVTM3uw/sIInVdz5H4DchHIsBmZFClWR16RTP9dKi8gKtxgKXVy2EifkPP3x5Kdyi0cIOeYLPXWu1fXJDJniy4tFAJBxYVnRRcBqw8EoIA7XBX4LnANrSngoFs+QMu5Y8kE9Z4u+HjPGFbipIdF48ATelpZWVheRXSRXY+rrqt++kP/x7/89Nd//vj5iz4++Kh+NBcvL1xuXtbVv6DMh24bmLDZvWp0E2PvjXnt132P6ha29P3752vPr7/vv/82377r23fN57w+8f33z+xec08NZtTHDY1yyUjDsTgHszrsjHJm20C0fTOk0+UhsI8ldoHupZ++1h9/uT7+qC8f+PJzTY9e0efk/dLr9tykmSYGAc2Sp+N1DCZdheA/iGOPiaRKgE2lH6ASswTAjYpmYEgyMhXKqkrwINxu8bS05IESR94vbdl3GqMxCGoGymM7Jpu0XAfTi+oFReIG10I17ZMxzTpl13r7AdNDEGpDlMW1wgu9n0RlYzBwmmD6DBGxiRzgfFJlcUTNG2f6kJclnJC6rBY4eWOZOgihjvEE5TomXCj1P72q8GUVlrt6ctLMUQj7Fq+i/LH4dC1qj/pZXHjOBqIDBYsRPDgFIunIShfz0XAQrTZUFc3vO9YQSJNxsw45govNBRG83FPvarM6AeCRWjuThc7RD2jUfdDgJid8V/tYLufQJRoWvCVGX/FocIrUo+vc8eKiNqoAcRJqtrE/UAMv9epGCVVrGr4/aVF7nk+97tLWPF2u2S4bAxvbxBbGRmk0fmsMFZtvTqaQh55mHdO/387EM25GokDwh+CKx8Vdp095wBJ6SdgzdkwokMkb5rTTIWakQKAMrVpmyD46YPTkc9EnBvSgmKyjLk+2i+lAtXb98JMWM+Ycy4LTMXXwzOoIK5SLAyLb45wglXOcY5jspIMbiArwDORG9No2T4nH+XGO2OLs7sQ6hCJOQFwUlz6kQXYIwoXOJrkY6Dd/kXykYDrCD/5w2b9zeM6m/Y6Psd5jNw41kWvgYIspqoCMPiNjikKOi4x1BH2kXdU/XBo/RGAHdarTfVBMMfr5C953Nt9bCI84MehmEBtEkn0iGiaRK/m10vEyvDn2fJvEGe8PwG+43u9YNF9nT3w/kcVSqqt9IsLCkL27BiPRStrI+eCxfqko7MgXVnFcCooRXJoT8afPfxPjuAmzEcPebjhye9wz/XhAV0IFdo6K8TkEV10+nWxAl5Y5c60eKBIbcYorZH5R8cGtKgtcXdg+CaJnHkm0MkNtiQBkdWozTlTULCycWSBHJmLoDvCvpKMGPhEJATshhTlXlYvRTlVCQd4ia3a/vuv7tZ7f537Ob7/j+dt+fRs8Uas0c1Rx9I7rGHY2LCza7GXcUcahaEwTaj4ur2td7LCoXPmPa5e0oW/7/lXP79anOQt7ItijMXM+b6CBQ4YFUhU5BYhC0LqskENpuEBX/OrnRG+X3kHTqVdGo6Rd4FbyNDxmV4ZGvP/I1dyaziw5dEsBjs5vS87FRfucUu8n38Qw/wjB2cbRaBmgrB7sJokyRQBtjFxFag6H8J5T+23uRtQ9EgZcthqIyhH0nQYEaDfxiibcEZzBMLttlZNgEuCAUCV1SxjkEs5imG0i3bpQwtGPmlEpEQnD2Uig+qlXJGerorKwmYxpCm75HZfAUFI5d35AHdX2WGDEvaCyNjSiKGY6rBiIhklvSBXEmedd7jdMrjd+U07uGMLxQK4ixjePUQhwmDoygZg9VZVI+hlfKxADIxWqOsJSy+Qi0jeVLAusdzLSWbtPZvJxk/kQ7EQEJWFsqyZYSp7qqBjzmcIETDgA5k+EEXUIyWiHuriIddXXj/r69ePjwYWBWLO4ltXscnRlZjIGQXSX2jNVmIHlV0uvGE0fYt2Ypn0Lv3xZg/75J/789fGvf//s1rMXtO9n7T2UE9tVEVwGT4h8K8hfNZBiNFITuC82bZmaiXoBem+ibx/PY9XjS//8T1++fq3rAS48R/evG8bj6nVVLeQ5a4BVVbhrH92lc3H/kPSiCmcF84HW5JVpAj7NdbKBdgR00VnGRkuQ3FEWlstdiXBy+vYw9uzR5owoWt6OwNiH3Ca1xSZQrZFdy8tIRWXis6tM9pvfuqNfDCzEs7EIqKEWNDyjmhOQ8WAWzRPdgvBFiOaarNhIJk0t5STwNjClg0daqIOuZ4g5B2gMiDQjy0NVLrIOHdL5erurG6vdRVxcF4haUXdeQc5qP3jfIsFHNYbFlJNhu1dzRHAMTU7IuBDeG/uRDqjQR3ad8vEuaNhH+9AgmDoRVFLmqOpGColX8nN+iKCjASH7DYUKAq6qO+BVm+W3dpkFMzoF2s0RZiYBvTOePUuqqUswxh+XrdWtW11HqtFD0xuo7YJnOgCrYQ/mCb+8v8/90uvTe28NZoQREvybINW3CDqpxvaBMo+X9IxsJ7U9Xb+IGp3vCe+8cgABVMbSU8QQp3X6VHIqzVBlO40CgrXZ+cOUlyuhO0SF6TJW1S4HDuljqD+7HY5lw2lFSIF2kJGUz4WOYEIqM45GahvWDpZXQq7Hb+uOaJOlBP4kqI9BQ0/zNCrJLEI+ezJKA9uePMDjLYX76DZ5pFNYiEn+qDl53hH78MiL0GAxxAMIrSMgCs13JPzHwZIvnTmT0saKt6PgZEezF5HX4G1Mi4W0KBeR9hafnFa5qgI85d8LWg+11ps+8XvorvLYFVWj8gGs01iWbjv7uMBzdyXhOUrcuHrf6KisiZ7cRmFmsk8HrXhrAyNFiVxyAQc/SDwYWVdqHOAwEMkJCC1CVn4ngn9Yww7Zkt9hkk1ZJ4soYjC2jhigza0T8i3U0gBQLEDFMu4sy6waGoUHpe33nQF5v2bJL6nVvNwCr2gFUKC6MF5swW5VdtYubz4aA7jGXBaxzInANPuycXHRCj8b+Va5okNXpA1FvJW2iiKKpgMPH+BUYrdkVFHcx0eKfJvJtScO7Nxv2qOOBpQncu8MJbi/vf5eeH4zGvdzP1/YW7Onki3O9xeJ6tOdyhN5p0nOdH65NFC7u79U94N1VZ63qo6MyirfU0/s7/v+xzy/QbdS7zojifTU7vxh79AUnnfOXTydIZwGx+MrKp0p5s0McuH39Qufn1b1ngkcQn1lg673RnnHOVepGCGh21xWLHA4Q1m2WI8LUJ1BH9lBmGRMvkk/QrGMENJsc/U7zZaA6U648DBSdxh4p/QJzXYC4H1c3fbBp9Mueg5p2owUf0N4kPfJ49NhnRDMCqvOfkVkvwx8onGTBd5wGSfBtzmjQ2GGLcvB7WQhWsCp0MyUZI/V7cRo1g+9ekGZ9FNA4+NiwuTVTWKH581MeEMLFQQDaYU9L5K5zpoVMGOiJMURNse8YRO7eNkAMuLJ8QXaOFL9THMINQ0ej21kKvKsw1/KWkWrlF3m/S+qRXiGu1cltZO2KAyqdZziJys+94WIBdxKsULumh8+gTy5B/dXZRHlMXAH+FAKvbODL62oJuleybKTuB7c5Nrm3n339O59+ZKTtK1iVzsOBoAiuzFtC+57aiRQ9/Z9J5huWbeGn9AMZgvt61HzMsqoKukO618+fM8yhvZkjo06HafwgyF0Hel11qQ87nkJD5ZAFh/N64Gfvl5fvjxqzWtm37rvbcz66K5rXSWpO+S3+x5FGGkweZa5obPw6tDmxoHlAsFNySxscHmkqs5RGjLPKwKEAZcwoXoQvZfYOr7VG+YeCb5PEv4Ufes8cETQ+XUVTEk++E0xuD1Om1j42NN9ynXc5j445MF+gO7SVnUElnbBfVhPgKK94G3Ne7EO4d6nPXX7CGiwki13oAckp6QHXpCnXCwlA6kmwajkOpFOdqFWweWL7xJFtgEX6uL5nlqMrO+StQp6XBU/TRchrRdeyWCSnEgi1SxT2f9tpEMDCdbIzQVG3HxQbvRigIOVISqif7KSzw1CA5ErzViZfiCejNT0z4R46yA2Fsi2QMDV1Xazq40yvCDtTY5Jeio4j4V75IEGLWEaD9penWWSgHaph1iFqZtdQ1BjQ/d2P299/3Ve3+0b99a+4VsHMAKPgDpOhODwcNRqZe95QzI4d1GUqVkbRbqBOZlTCQs5FR8xmTY73q9Jk0fAUoPkWDEUygZSdTKaNZU/nNu4kyF0Glx1TwekPknoRHQogd0ZeWw0EycKIPJMyOio/l34McucKrUYpLrxwxRQb4GsibQbRUeS9feoJLL+V0pdcCqB38J2IHG6hilVU+Ib6ExqRHrG8jHI0dHw6AxsB2jtPtkNMMVafuPseKtWTrKm+b6UQwBHhZ+pnUwwEUqalRLZOmhYSmaFrrAodegFRmkVrqRFY1UWA3NdeKuY5JR/02YFTT5cAgwO2db5fWwb1AGf2z4vYlpqHSmJDxMAj6Kp4HlOE3qR2NBNL9LAOkxANAzGqvKJuj9ZwzmGmPJnLgOHhT9DkZvUAg5zQqLcXj7Ra5H3ZsKAE3BgWMJFRroN8z4RIIgGaBLFiqR6t23fDm+sePlsr/Y33yPdU1+WHxXGs8wXj1KYUnkA7kS1VvEChlU2GgaXd/okuwhzxSZVQyfgCkNj283Scu0mkhBahtiV0hfkyavz5hPRThpYx9zQrOTQZEs6miSOU9H2fj1T4GZnX60cfbPFwue31+v7BheSm+6t7W6+JT+JS8AQXXW2uibmNL3B7CbR1y/r4rUW2eoyT/YtZ1iWX/v+h+5v+/Ob9G3jfijisfst9FA5Wnkee56dd26Fc7tUYzUlF5bhd4H7wTEOXRnJVOgyqQI5JIQ4mp0MBtxKWmuAAGmOJpSn5nAMlhFpJWSDc4DqQxUkf8x97M7B/CyYKiinUMuY2nBxMsaOU5uIXDsoV5K6XA1Ymk5+LKZYSS0dsrKq/4gRDmkhQZmw7gMDspO5Fh2BT8Seool5pxkIeS63nWKc6WmWZU7eLZy3sU7XQTG2vkIVFhoLNa6q5VZ1F+EmnJO6wH04VKctnR1vBajhLjFCi0ribZ2eRgM7hKHXnHBsiu/O7SAV7/shRprALILJK8e/wT49ZvC5NScrAnBOF2egz5pTbfjqQrUh0B+9QNxS5e+Fui9h57ZlXRk6cAxs0jnpgLSkHhVkXrQR8H6wT/o76bpaGFuRhFQXYATgjEKIoNlWdN0uXLxMRKwSEdBFPopo3tZGbe9bXjfWum5HKZ6Ookp83C4myWAbs3nfj5f2y5Qwe3+fC+7RzHAkD+ezX88XvGh5blszrw16Z05oepLgvq3VTR8TZ+iLq8884duxoswtbfRgkNAngBvu9GBz6fET1geIfb/w7TWv71tkLX5w78drebWgFlb5Yql733UtCLECKs9/KnXrrZvCLnB4LWDnqJwBKyL3gYHxrmb6wFGyIxcxTq6QAQ/cMjB7C/ce7uReNI05Ts3ltNYnX2UdkLmaTnzfgp0uGNpDo0MwUc2mB8RUFqOTaZsoUo278hREqlAuVDvfLs6s3MHEzcmuzTs5QHFe8kChnsS0hp2vi3Kx9lTi/lN8d45VRzBgwGJXMcYhq6qLBLu9FjpSgtJbWxKANqPy22ZabADLbIh976lXierpoFyM3OL0FmSa6wRKot7kd7EoVNSQhNFVxKAirFigWXbVKmwBkgpp13QGzuzBqXXLzJsqJBzwqCN3LbKmS52Vl+FEQDKKfg/2RE9Kc3+6euq+9/UFj4vr4qPVV3UVeszqF+5r09N+AHfugddgf5vXb9pPv27MlmdGcdd6zIFSAS3BzXLRalJtbHT3sI4aO7k/PvM6c3FFz4GYLVwZC5yCsQS6sV30DA6IvHOrkEodQ76g8UR1I9TeZTJ59Mrdguy6uv2WPST0rHmcwmdTRdjmE7/JcE1hcFgFbWH6aO4jYoY0FQM40Qlwz8t1ltgQ92+U6qDOh/7wMUceL04KXXKxCc0BKoqto45hrnafCeusLdlrg2EdhekxCxjnFsAJCeMP3T6Qur7oMfpssSFYCK94Ms0BqxqQqAtRK9fKpcEzgl0VldbBNcJMMV9kVgfQnbpKNhKeaKMLY2YXcHgC23lapIF4Y8T2dpHHBFknNynLFj1kzzG/ZGEOiJ8kZDF61uQDF2m1MRHc1xlNEnXfbzGmIsM28r9YVUkDRaFOYCVIT3VqDd2w6vB8NptpumpGEV0J1Tj6UrPq9rxp5VmumUhQ49pMVJINpfNmWJ5ibW2wMMNKejvbomTMrkeBfV/uyupsecOkJIenPyL0Q04VkcKQzCaL1ZW8jvZizaFJREHo2poC10l3ABtT7lJyYrpoZVgnVI5qjYZOMkOugo7LBu+nbyiTTkMzy7ypSpjNDjZrTmxfvTnd8ha6pS5K7tJLbtfD2OwjvDrZTBJQanHNevS16ktd/Bieu6+JKgyNp+Z61f2d82t/+/Vzfxc25nWFAZ1BSkyDCOAk0KyCilUTMcddLk8y91xZ12xPvw/ynHmUh64+ctg6yrOZhHHH+WDp+Im7+qVeJ/KmUNqhH6sxai94duXBZbc3j47wWPlgFOadAemQFoeCp5M/Agxcj6jW1DrJQyk3RKmqQMRuxCgTV9c72ubf8cw2jFF2ukwVN90G6faIKLdO70H0wW/7+0ors+sgLe2eQ4ccYwwALK2JUqneTDnewgDbxN5Gd9NF5+6obvZcTV9AG4uAVKd5SQsp+umpyaTchtxOB4uqoCGdM+tY1cwabK5VVh9pa4haR5e0mEc9AOUkbCHhSHUgyOj0c42/pTkmvdyvWHDOYVwa1WVGnrcurC6weuFxdRca3HAB22u/8Bpg+ORm+pGLqylpe0ulGyaWLnrHZlrMhdx0kWYH2wAiaWjTi/fGMnoNvLJ3Nih/kHB72cWrbCLaGWM1TVa2L/th1R7cmm9P7OYmN/H69MeX62fYWNbgHeBD1st44gljb27fQs3cMxC8R7NfW5SwhzP4/vJz196v76+5X9qvddnbL7gucnsUtbj5yALT7GpcXuzjt8tVCfop3eU92NpTY8GrAfhR2J2bMgAD+/M5M/X7N+7XLF51te3H1/rwmiVsE1jlV826WnubntioU6TrQlQukSx0irGwDW4gQw8L2FRFYxnWSHF7XJFo0HXiUEy0ag8gT7oRd3IQSodOVRcESk5vm9ikihZP4ECHpeyI+vdCbaLZLq/zpORpoW0nQttHz+ZO2igbnmItAdWxY1XvI4ayTuE9XIWBVxKwsCeWu1eZU6zqRFOILhtYQ7EyedNRL7hT24QokU/zGSB1nV/u9WDDXHXF/+kkhSQpFhqcBqr4AQpiYTeoj4XF+tWbC/WSpcs0ue8hC+M5fnlUDViFci/4htjdNoHJceQsyxcP6aikEc1TrE4+XPZ+meruk7clnwYMxD0Ki7juUrlqNRZ55fGEWAvKRgXiri7BmBzYLbDc0tSMBqPr9TGvOw3BXo1aiUGtnk6y797m5jy577k/dd/YL5WIsVXh/BMQBtfw8K+QhlVEO1dAscJk1Y7O1kAbOm3a4T2V87ss9TFg1gGpR7uqZSv5Del6yJJbqFFGNI29zyU30Q/ccRVGwo61C3Ov07/GcFqLMN1mcvvJcsKsc1GD6AP5vNX3ri4q9zlPJg3ezpeg3WZSBbuk6VOmgbAEYOdfwoIHKN9Uz0KlkmCYY8FW/njizYzjVFrHeeqpKuqILjItHvLhXanrDPqltyrbWodZCAnwVgJWHSEDMhmc7wdkkqyC9Ds89mK+LZA8YBZsskMGVWQKIlfohfNHk86tDwubiFxnThdGtkIjTj4CWypwsiF5XKdGDoxn9giW2ZjN1LLjiDRRCYBL+2RYlAi2yIOtEZV0UnjVWbHQR1tEpJCP61iIMDBXE/qRtoeuSoVlpfWJ5XWg7SOJrfSvuiqh75TptQOsbjQr6ct7s6DMbbfrHZSEQlQyeDd+iHrbmnhk93vPegOU93g1JHJZIPfgPYdD55KN240HmhXf3IiODhwVISbB5DIUgWt7a4ZiudRa2vby4kpjSLVgi7XUq+7bMKPD4dRuyQN3cOfbWCJOaE7JkzhXNrwzSsUAWIdxC8DuxnrFxX/Wo37L9zqZD0feArO6yUijwOrrwnV96bWa+OBy3dvFU09ye+p1c37j99++f//txov375uqGXpQsFo2hFPBaixGMcspsyYGPpSbE+HpLjZGZEMUm3bmSZGsqrOU5cbCmyByPCVCVkaaRMnbP/QhQdmCYBUtnL7ArObv98IYVsEpTwVYSOZ2AIgQ+QMfJo0+dXVwlVN7s5yYg/p3sww8xcbJFnKMS6BMaR89OAW2EQmRjZgGIgXSERGf1dlO4R1SiqO3JC/3yRQ5O8JH/Uh+E13uhLFgv3WRx9Rggv5ErRzYgge3eaHpfvR6dJFc8Kouw6LKq2dmRluCDNXqEKnx/3pYtYWicKJzgaXetBZKt1jHwpTDmYaF1RR3s+HiyraWw5d9FJpCccJDnIAGnSgAhTE23upDubu7SFy+Fq+PfnytR9V1rcdVXXh8Ha7+6ZQW8vWcl72fe0YA77m5ONL9Ws/v9ev3z30TSiJ3G9hzwC4WVf73opNqwO122Y8LGBIfgDsqSKUoI6nLfbHcZW9VdaLnk32C7hSjCsN5UuBNv157ca9eRP/ytX/+8tPjeodf2O09Hlm0tys1LXtwD/eNZ+KAbu+n9ty3sD/1fPrlub+99mfipaKl3sAjKjPtZBNNEbyKNK8uRmvEe4wtDfysfc9s4M6ddiJRDSxg28sAvLf83HtjXj3SbHaNFznwLXnD7lrJ2v/o4hfoXrM3zWCFdOQPTBUofugAbA2rzD2oBcnloeLNQb/zB7mh5XLHKx5KT3xtbRgStndeRSTdaAI9RaCa+mgkv5XlPnm0p4sTBQ5rp6vsAbpO8SVy7UNqYordlRCNcrkH2+wi2d0lsloFeKrMWWGc2toxSQbgQPQZWVYxcF9UcAX1xcEs1h65RU1zDVi1VVOq0Ox9LFiuUiPJER2vfXWhGXuAW81iJ6Td1r+H4SnUDMk9pZq2x1yowpdaujeomjacDHNmVjd5j6q4ruSINFCruuhKlANNsFi9aCWd2iw3RJOxd5xRCBluivKwihJXLAVLZ71wNdVdLJS7arVjau9F7WG54jWvygOvpH5vLcNVk1ie2916vbSAb7W7V/furs69sW6otdXl10sQ5wUIUrE1ynWSQhbGApFAfMLzpoWOkyhZ3Oa54uAk7yHbV1gRHz134NRTGx3v2ZHMVqFcWLZrxpX4wsRcIHlTOJ1HfGXuHO3jLJ9zG+L8/n1FnstFjrq7C3I35vSbw0BHTkxLqDjqppU7ERqQ19GSI8ktBai7YfhEghaBYbOPLn+O/kPCwSZ9ymPPBCDLXm9qst4G/bAG5qGB0JN9Pnm0QLMjR/CPwf9ci7lNc62e759FrGzBwFledQxnjvAoWZc95YX4cHniL8VK0BLAamsiDkxQKpnxpn0mtLiNjci9oqE6UTvhxo9qsQyX9HYBz7sS3T+EZYgDKhU+7xnnrAvGARo9QgBN2ewm3gpXHCt4vpfouuIZrFjtuVBql+MLys5cGUVOtF7y8X84dYkGSVa7ioMslB3MtjxmC0d5flo5Y7MFaHeJaiycb9Dk8oxLNRMulkAqO1UnyeVI7WI+jKhqtffkHLMk7eVl9HgJdV0Xp4kwoXK3tZ0aX0XAWIwM0gmTq3fyyTKrV9OFWnZYAVKs6xQnirokbOIIUgqLJ85wIlRdXIJ2qNa80pCMyueiABSMzeM7z5tTKqRxkYbIK6ByxJKqdFnMu/2QncAEYMK1kkYtrouryMe1Ptb1WKubllI2MxHJAF7e8r0+v93Pf9vPf7xen/JLNvE+qBExsA5dAZquZRtoseBwh4vUTkyBi4I7G2+f4Cz54B0ItIDu8J6mW70t+E0EGHVU9Ixm6rzpYFsD0cfKcI7IWt7aRPVpKuU7YB6YYtOUbw8bYPvHUN3QpiqKti2DvSw1gZUfNvq5gkPMIjZNnUGdSAjSGej51r4de4JpsHA8wlShQU1iMWG8jQYJWWYiTjNhVcFpa6/jqfYdHML5keVcc8cMpreJSKouzsQ7YxUWQLrRrG7UxS4+FlGYqwvY0od5W1ueqS1VUIKRXYyWPqaoKHNdpLbTUXvsJu/LO0pNNdcYZDJBt6a5qh35JcMzxkjU8ggsehz600kiDmwT8lCJ4RhUF8Sqxwd//np9feCnn2uttRZ/+fr4sq6fvtTj4uOq5qOq5sbv89vnPa+njP37S5/f97/+7l/+pn98W9+/3dicje5DcCNyqvaWKzuWy1XbU8nS6hMzsaojMqjVazHhgoxiSOjZKnDQLFOPehQrRV+v39Y3aX8YYNmvz3k9v4/749pfv/7805f68tEfP/VVfFzdxHqkfIev+96aLXxuP5/3fWuG96a19+jejDHx+dqv3/x68t7bN+MDGklJ2SoYg1ps9uVz7qNB7JHtuT3ftJ/WlncGN0Foplugj3KO3kPe8Au+yfGQcI3Anv1REjRue5cYR/nq2v54eK+PueemOPWjRMchQisa4YjgFYM24KMXkoCy05gV4UHZgk4Sl50PeSoaBkieiHLhzia8eXIzEdy6Tvr4UXINtEBqlCWbLodax7GXFAhgQy1ubLKwjca5otPpydyZVNA+xXwJsflDJN+Lb+DmZJnFcGKn+iwyAJC4Nc0O/FHRWtaQZaRC7mT47mCUxWKoy+oGmyZqoeC1IjJI94NV9rA4+4hEkrllMKl8AuTijLpcKT1hqTxorDQTFzyUufroPxodqUNKeTLfZyQiGTaPUWxryNYoxvqV78i+h+TjgItUC7LYjaMAEFYXPhbtrlIVq0xodeHGbpRwV0wT5cK90awtrJYGUSmMYPjz83ldrYNL7E3v3s0CqN4aPVyfBQ9DuoxU1hxnNLumI1KzcNXMEHQHJxMmzG44XrCSETtxqdvkBGIGXeOTcoCC99h9nk8JC53LMHdiweiILEs1QLIq0+t5rFJszoxZqJpsldAw8tz4pLt6Xd2lvtbqtqeuXliJOMAB1hqE5y2Wcw3oKo73Uomwp5PeO29589G70uo6FBlLOlBhSHEWVOA26gQbCSilvPbUyhniqZX6EcYXWkE/bCdUbGoQdiJ5eNqFDqS4Tz7F4S7i2qRUC4n6yrDBrIjvJcFEfgMPl8HVZ/LK75Mx2BzEalXXwS4xR5MAG49YCqQsrRTF9HdGQMGjbdM7y+gAlTya5SRSD9+1cqWwjGOUdRJ4XfDp03PG+sz0IPsoTMRszEHzK2KpJiIjq7Q3VINoroxgPIZ0woxALBKpKPlikAUBd5+z9FzgIKw6KfQrFUAQXJXGTURQ2wVxZcEFvIpCtVvoWlPZValRC13YSmrUxCZRKM7ovOHQTkhcqjciltCwdJncr1fx4XqUu+Awg7TG1TGiIOrRI1ICku+kIAvAMuHF5R4Xm1pXdRNa9eiifUuYGcxtJC4QPeP53I9Vz9c+Gm02a0cq2Ktdu1WoukCu5AsFDDvLJ1OsluXtqCDw5kfjoi+6WJXpbHScaCT6Qj94Pep69Jf+6p/NYtfZk+eGtXetenUN9cTrN33+4/Pb31/7d/G18pgj65xnDKIGu4BGpp8uYtkw28RKMmt8kqiqcoCwPLJ5iEgLjQEWud8VmDkXsws3yFUJYp9EO2Q7nyAXuZRcfWw9EswF6yJGY3AtSgXM+dV6shQpBR+FpGpBWLHKF+m60NY0I0e1xNLAXSvHABFu3D/qIkAWJ6DFceZizq+m0CdM90eijnI25DxPOADfq31sOuRbFCWaOxK1o6oEwJJcdSxvIVAdFSmZMq533bnhSnT9knaDGO2B1aDv76qqVbyqUFjXui4J6rK3ybXUMF/7trWm4BoJWye1SIEOOkKuqxQONukT9JDrcHbGRFuwpx4FnpBjduUIPg7bOllthI42MnnoLCZfLtfAWGSl461srvGwyEItsHGtfX25Hl/653X98cvjp4/iOgx2fXn89frjPd4bwnz/3N9e95//Mf/7l1n/qL//y+v5bF7wPTHKkhyKtS8+WGFtVD2J51kyiLpYq3qlsepjXUSxjD3D0E3buBqVVJ0IHpVM1Pnk7/f9+a0KDZRHz8+X7v36pD7uD372h79+WdeX/unL9eVajy/Xl59wrcfqliTj1n7u/fnSC+bgfpms59Ov5zw/5/nNe+v7p/DE/eQ2tDfV2GdmBgonMMQecAhhoD3mS/Py/vR+IhHigJD+yCa3in1exeAZI7pkL2tYGlVRZXNhaw8TOzfHFZablhTWcnXj5cHYqegpM12BfjuBMebKVVoz5wFPCA7J2tok5Vp1zOEG7dERGTNzFlqjMzWDKKKzcQBKUBPQ7RKmKsGE7TKwupEsAbbTxoVzfNAONjhauNxGOYdfzHtTVq0OGq9it0/YZCGLUJh9rARoRzqUEwGgPxZ3grNEECN3NdEB28MiMpIghkwlbrC5gEh/TmbRit2nEAKqC2020WVIdnVvSjs9WrPTjg4AN0iZ7ioZV2P2I8hhKg+8iXaPMYasukypkkJDTKP1HnBYIzbpapwFecwoN49PoJTMyACda1V5pKwpNJu4QpvE07SMbBpxWUDydF2aZKzxxF0as0HzKqeaEEQpoQlyMFbHZVHVxWaVOboZW1iD2GZpkr6UNdYN3giU6cM04PKyzEftGbA9u1B4EAaVpno6QBZ74inlcTN6nxQuBNQVMt6nwdZnOYGp2G7jf62oxxa5C946OgLMbai4E56wZo5cIsEtgpqs6i5e5AdwNdcCycXuziO6CppzW2GStOU1N++9F3wyS0mRSYXIAF/BmXjgrzhH7ZTDRxpBGIm9tH0HmEYodNH2KsqnSTiJD4la9OkDIekIBI/VAquTMkhysr2uE+gDGcAKfJcMnUT2xiS0OtbnlC4cv2+I7GOI8Il0AOUmsHjg2vRi91CVYtU3g4kLGRrcxO0u+gAVbnGg87gEKghkprP/Eh1wOzCDmNTuE0WeFIj4RMY+molYwZWcrbeMIJlReZOLhYVzvvLfEe5I8CILSjKpkVymAhxkhTyAVjoIc/RXQ1LWn6Rp19tGGMYlwoOTdBPcM+6Q4BkhuqLAr8O9AudbRNH2tZpjbu2GXSp1Eiryd8aOgosaVN4tjhObIYjitGKV1LbZrtFr63qwarlUPNWHwvwANt0sMe3BMCRpY10FVxWG01VVxuPR5S7Xwyo9uvhloZY2BONORg7mdnNm90VrcHu83NNoqHsB1dXXKo0J4MpSmKkJCug5xL83uG6lBzvxPmK3j+gc2tPVF1k9q3t9WWz0l/ryZV3dffGZrNOxKW4SXcO9pd/r+fv33/7+uv/B598/Oez4PwvWoSCjcqFXoSNNXie3EzAW2IWRy2x2EjfKbK5gDJGsoqphqwu7YgJhNXkeO5sogXebmjpmnKMEiKMs0HakLvZ5nJqBbKM2aQMeiEqPD9A6b3jCNg4J6MzdKd1TTNHKY1TEnPwqwDvZbAl1FOCJlQapwOq3yoqyRs1KU4yg4mnCAjSsTszTO5AtK7DLnAH7ndqUox3EO84XxCRCdE4d8bErngtAcYtbZ2GgODhYqI9PTjt77ewwnN6Mu/lLXX2Z4oXrasC1sKvwslGPD8LYs2e4PY/dG6rRvh0BIcECd8DKkxNsJiOURQHNmpNh4CMdWgm66nfSQh2DNkZzFmdY9zEyZkDy+6soWQn2HM+Mr/rtt42N4qM+ei2V2Kohn3vWivWdi+z2PEW6uJq4fvLXj+vnD/zpY3/9qq/Y/8ffxqrt0z5R+FjXrv4o9orWq7R6AeM8RlBdF0xzPlbLXlnc2OWHU71lOBPjjJRWD/jW85tf3/a9G7r9uu8dXgJN1MgPzxc+Xri/+7H2tzVX97qed+Px4ONatbrg8WAVbuyr5966/Xy+Xt/1+tzPb5p591vd2hv7BbgEL48goYobWIbmab+qqRuE7E1tj0af8G2I4ZKPrDURTYZGRUuLtdeUDG9NL89keuaUN3EVzP1Kkp6pQRdAVpVnmrXdZV4rbM8xHfpIlekauDpkaZRzcUmqWZJn5hQR5RnP6rgtnz+klMzOcDrhGixhveenyXByQoOcx1Mw32hhoP4q8OTWwQYrQA3KmgKLNRzYja7UEN5Yl9WTOmMYBSxyimvYVdUqrPF+NMaJOi7au9AjVt28AdQkSMp2R1gixZaTH9s5zyuu9+qLtQSvyodJz66NBYGrjFIXenU3ybvrsj0Ai3XhvpGsBauiIg5FEM1AZZ0vc4moVZzpYllptbntatOvd+kIq+xd3bLg7t6xGB8oy2xzpi5sOFYuFOThYTzoYRG9eKBkoJc1eqyqRz2qe9WGl6MU0mJTVlNTKAwko+mZLZ4vGFLpdPB4LrYibfWU1/mFb02MRXEfT+4dRCReDpBq81GCOnEQq2B67AdLqEd6I1bwYAl2c2YUa1GK5dKDKbI1RnHuPAkj8cTtxCXZQQZx5FHHzxzLVHdyRJNzt3FrY1dWDrjt00w4YI0CwpW63l0ZRfZVtVCrHlxrTZEdkVbqq0Qu33HUWm6Me2+ODPPTfeHol2GzlsMJR1AuKBInONaVQhAcQh7tMEO2bSSp93QqkZ4m4MRAMXJfj05c6PusiB7Ck7v7mD663hM4jkAgXle/d/44L2h6RdWSsfgMuqH5XPmUXN1h8TMZHwV9n/GXK+FgYRRcXaQ9FUEwUBwpi73lnXXYmVFVPsWEkT1wTsFFkMk4iAqkNDhPTsYHA6RIYmIPRgf2OLrBfMQoio5uAodXOMFc4MJxLkQzXIDfAVA4YqycXBXOJH4jHc9E8S06BrOukkadE5VVB0x//0hZag4uSQ5dwS0Bpk3obdmHwIaFLvRH91a3Z6iiQVGmZwByrHq7wGEsUY9j72pL4yrxDulmHRMFuFQNF0rYSyVLwEWyKkGag+gRa6qK4SL5QLkLqAWu7jLbXe4mux6gKX0BTfWheGXMZz2f83otjx9TsPduxnAAVdXVcA6mKwkTIlsWfVlyaQMLNRvthHzy3dnRphpIbxfAptfjur6s6+NazX70anYnRWQeqBlKmBc48ud+PvX8/Xn/w5+/f96/ue7m8PKCyEXtp5E4KRUEu3yahBPc1S76rO1MjrNZ4OKbhUjY85jFdxIb3AC7ZZKPegQE9paAUU5lOGosgBSqZ8ZAUu+SnEEko5SRB1QFiyjKbnkqQfo5KSd3WhL1zW0x7Vz5RDaJlnc7Wz2Fq4IrkFyliVYN3bTfBgWYoUWPlG54iozmNrlRB5aqH4gRueIIrJOW60JF1OSk+fFIBPmDxAz2hVSv9lhHJT9B4FAoWRurarRP+22RQyemK9UZlaYK1u3Z85yazXlt38va/GlVlazui4XmRq8mpumqUnEnyQp7OJK2v33aHs2p2kAfCLOcNZ1ETUGjxPHH+w6bFwf78rGj07kMynEhnV6NcMuWi6fHIQvTSHhnn1rU7NlPP9fz99++/+GfPr799PjDn6+LWP3x4n0NHqQWdmSiuq6HOLRrexX1Zenxyxd9xUfjqu9buOcBAqh1VTUf7dUrXHfmLaIwAkppM6uSt+QOJRFOEc3lezenIT7npXt5w+LnrW+/7u+/ar5rtuc5I1gucPuFtbRPoc5c6AxYa93CvObmen7fvYa1TmBgq275qnnp9X3//rn98n1rXpgtrYV7XlsUSxhQ0lZrTYqgwe0707heCW8a+W6N5x7E0pij1m+dGuB71DCgSmlkjd9e8fsGjx/vpNYZ2p576ipsO2K/cbWYqKO2++KtKPDq4EJ0+0TrdZ/Li5SqDr9FxUr4g8FTuUBvl+m2RmfLhnBCRpjuH+VZ6jm6SyZ8FBEuGnnoQQBdZTufhOrA5VisMZJZEKdREMFGuYViXc4InmhAIK20QhcbKFbzWjVRiPBw9rt0THSsNHGgDRUdZjqQajZiEqVFDipgK4R2THwOcVxJM6ploJq5pUurIwwCC8VKg3BayGJlfRNz+QIjrzh9oFajsTVrdcOraj1AslBcPVonDG4WjYvwjQ09VEMlMfYLDHMH+6xueQ8hL2CQfIBahDyFKg6WYYK76wp21OuqxmN5PXqBqFp42XjUOq54heCZoetKKpH6wkOcAcwLGonVNa7WJGAuPqmbY3jdZdRV2uh2DGs8mdEFBAhQcjUvAgkVj/Xq2qoVlQQ3zqdXLUH3bVwmtsXkWA6qKB02zQd21pyB6Q37c07MS86mVLFSDQsHB4/Oc2yJnFYBY4geJ3V+jjqb4KFdh7WIhVpdC/VY1c1mZ6Tp2OmSB1RZpCFx1Ggv8/pobXijuS3MIAYcxv6asLWiJjs7YJkly2H/7Rk3lzAKbQ4lB2De1xrzss9xMbwJuzerbKrQsdyjVOgjnNURyR/4O3bWrPU4EgoCJ+sAi91x+gPgIqQCCrUzaq4sE8p9S4TiIzDlVIHEQ48jHMHh5+KUtrIpwOBMvFilpDelkD2O78m8UVCkCmfKz970DgRHvVU38w4YPRFErqZ0FPpeLDABnl4hYOgDnhaalaTlKBNpnBhXITkrRZ9qmGIljwY4HnAXOQeQS2MewCP6OGuUvZ0IhVBAVVHugrFz5pNjBYwFB5VUE2H4pl8qLXGkhatixJuXUcXOy+ecXrl+Mg0KqOvGkNXgRGwb9jSkMTlmly66VFdhqUO7RlsKr5LMBR5hyHk1U7xJP4aucntur6pqgwtTmSWjTaTwaKIqOvufLjTrAc6NuQrYg9EI9lQCn8te7N1YD5NNl8yszu2lTQy0KAxTFJk9LhnkpbLr0dcDj6/r8bjq4cfj0VJ13RYMvPS055Y/PU/sT+2b+7fX87f9+futAQZrl+zuJbuOD+K6tActSlyLWgDEsa70rqBsXfz3SKxWdTF0SUQoEH1ltC9K7D7l5r0S+soozBfMXvLegbe88Q4Jky722LxSFxLUIzc3yiHdkgM8RyAEcgSEDmW5BinrwKH/dxD+Oo0nhqyFlhSsyzLktd5lH1Sr06uh8bTLZxyile7CxXchWaFUJD1C4rYZMdSe1AFkr1ZSH3B+pKN0gYbcabJ0dAo+WHtk9YweMlkCglA+qbvVcIxnwvHv5/GNcHFc5QFLes0ez3fp897Pj/vpj+/dlx8/dy16VVcNY+7zcmGhqrd1LcysuvDli1/3PWoJLy9r75lSIv1KBWFax8QaMSX0LuFrolIqVqbZtqcks33olLcAOXEPPt7AGRMojF2juibMEufFb5/+/uvv6+vzj3/n33757T/+Ff/Fn9f9dX56cF11lZdwcc2rzCppipgsJvXLpetPP3/l9dv3fb+7+VrF6sbm6nNyjSCs7vsaOFXafuYAb2gHLOPjar9Vy974/LY/78Fd812/f59v/3h9//baL9QsJ0APjRkXai2PyEv3rbCmba+9it1rAkZlDQd2wGkbz/1S7b1f37bGr5EGQGFzbtku9R7JgmoUZghGwI3zDY5MUrdwQ4nJhwFzn/aGdH7a8ccdIEy6axWnASvaqDpJS3DhMiZh0SNdme9bggprxug+aYKE1uJE/ZCSGjN1L6vOnZ1OKb1jp3RqFwYIx2tC3gYiHPA+C8tRJGaUSkKI3yEpeMtli9LJtjvBvtEyJIC7Knq6MsBFJbcjty9PA27GDM4JJMDqrArVNNl5Xa/q1SxePVf8gDNIFkHREa20uNOAcowLKIsNqwdOI8KqcicJmRwttzjNIqqGtWpN1+qVXFA0OYdgZ3PxyoCGopi9pxPICTe3bIjNUqvGyGBXWJSnGiPVqipXdV8scpG1isYuSatjh60KbrGlec1sHbder4ZLlBv7VgO09wy4yDHaR1bQJLmAnRl4Ue4uoHhfj2mw4PXxs+2rLJfn5qMeLGnCst7AbAxFoq+LcwMNbLFNezMNeK3BSsL/SpA+hmbpBts5ak/ra8efS3MIeEVJH/ha1U2wuAbHQ+6FG13bJ/RolW/MfTi1FlDUdswsNo8tIMg1aKuqnDapBjJKzZyQCofQZ5UcQ7ssUYZvm0bCQHEUm6mNRrmApcQ/scQknXCBcKaWCL7jnjsJTXXBY7GAahgJbICovvph+8QQI/XBk3twjYRrlc2A/s5m34yEU8tyQULhWBfgLSzYVgE0yYpf4J3TUn6LS418X0cXnOer4sU20ybgtzsuovy3uTqu6ZJU5mIVI2SKGOWtWlosrEhBBIBdVqRNcYe2w4P+CBicH8JxH2lUpCrbjK8GMc4GuojsoEYaj9Mi6IE5O8nejMqAjmbcBbs8FpVc/kpHQ8rQTlLF8XaEWwd5MmIC/ceDn1ytgHKdOpOYUC2c/Npz3AV5OSOnUKc6sxYOwB/o4sgpDsdwjrMfXIU8vVZ+Y6H9kFQ/gK7oISHvkyAVJNebOC4a4rjuCoQGmCkYVY43iUVomXsqgh525EDZwwNZh3aIB1zG3mpwb6zWqko674LX2zm7mEKVIqG6Y95dhmrs3gN27wi0LRlroVhpRelV9tioLgmYj6ursAfQLHZtw50axeTSsQngcWJq0YLVs9C7lKBnsq3eNS2iaVeThauKj8cqfHy9ro/qB3qJ6BB+pnnPvfn8NnvP83P0qf3N/sTrVfN99GR9Prq0xywsmPZQUkdRnv72sMvLjfZ6d7wtmFQ84CsX3KoSeHLX3u7WI54mVYnJIY/2huho8lZ1Ipz2wgI1ajNE1lnDhDKHU02bWi4ygXiYZY7YSBSLohgUO7WQUdbW0lHc27gOn7e2BqVG24qp/fQMxlVPatwK5nuaykq96NnORommj96mo65T7KIo3we8R/5ADUMeSGYlDtiSmHpnHvMw4ush70TTDt3V7dmbSMAwAB4z42ndOTkTOQXPMZfwrZiyIE4Bxw8hVHO2a/Hzd8/zXr/N90c9PlDX1MX1xY+vj8e1cGk9yNa6HB/iZXUX7FX8+Gjjmpnb9K7bSxuO2Ahll0jtHIx7BJMPL9FfuhlzD7HFAgsclOK9keRKpNU4xoqST8WCRez0HOztwsvdJMtyifPa/3h939/4+v3f/vaf+5//+PinP3798nN//cKPctW+rirVKYuvBdpbJTb39egv2/DIHFU1y0RdJ+xoKw+Yb86ibiGxzRtwaZjyiht6bWk8932/ON/9fM63z9f9bV43Xt/u++YMlvjUfSB1TgHbsrDIHOg9mNJ1N6RbW49AS0+CG55RPHnB6b/Prlv37RGssncYccPzqpEdBTF2TYOU2tL2TgurJYWFkbRNVYmDgrZUuXASxxMOxzyR0DSt9BuSRBinslzFSv4pJPpV+goIUbKZwvjM7Sl6znBe4KMCnlkAcSVNP4sOQ5IRpLrzjoQmzm4jqmJkmICdKFI3T6d4pU8kmoAkWzunRDIxQiHnFk02wdueAjv6XQEY8uAajKQbKF4RFb0vzSM2NHGxYYBrlYvVYKiydUWDWN2R/BQNBRlZ/kDrToKwjiNeGLjSi10eE5kKhRPjic60LGLp49H9qEZ1OxkohQaQ/GAY15WvtDqond8O1J1ojYKtupEMieZAFbijVHV17ep69Lqo66orn7/w2rsXCD06STUk6969v9Zr12xLNUec60XtVaUAE4sUpIXep/jQsVma1yIq72rdfdVf/vj1v/nrT3/+48fA//K373//x+foIZYSqqGhr9eNIiB3+UVj03s0zR4cAKAjiTwKi8IF7vgBhAYn3jtpXb33PJI7CEJimSvd5gRUyW+6UPRCKKX4HhJaOqiyC+PatWuqsS5u0/LoBCVnpH27rkEk6r8Ax8PNjHOZCh90cktkFP3KrWfP1qbuwrJvK0udcHAYssV2nxhPqVxBmCs50cfCiwi0UWKUOHXZ6nDmOE94xVlXfaJmIdzdrVcHvKQG1kJF8B9UzEfk2qff5FhsdSXztA3L1fZkDxNUkTszjTqR4FpgK/ImtM9UOW8i7CxpepfLnwAMDruCPtuZdxNlhxU7ipHOx3hLI0YNGHj0+8pom2hea2S7dQ+R2JmIJDVCqSZ2/yoJtTgTzsA/Uq7GAErYLmBiN0bWb0Y6H8VTwqhxus8Pn47Ia7P4khVLYADJo9ivnHpcZAJx4bCbwWdDCLCB1F8dBX/+v+iDHBXuIVLi0GN3qIi2XXWihjJZxZyjtyjC0VvEbRU+BEAxIGRMTmdzgtHViTTycTtFDZAcoYiMCl5mE/sShnckrAXCahjkYKoZCCK24gKM5dBkUdBJaesZDkwK1mwWsD9Y4OprHlvmlU8wKCpVhpyq5ZqlE8ziZq1au6bdti1MrZIJlrHfMRZ7BgRLdAuqqyNg6gamaRVKQ1AYQimTSXwe0hbFtHKtPJEocVatq7rX+iAf4DKvQmlQXeXt+7Zuf37n/na/np4n9uj+bj2tT81Tc+tIaEawsFPhVOWGRLeZWK+1KLrKapeNmJ97Ct71pqX7tGCDKBqw+wyzFU/SqtymVcThxbMNAGS2HlzquzerJdekmSs7VtTyjVgRgqy1zfRLxb1DGn3BQtSIJZirTM2YdOECh+WdWWCnBWvPOfeSOhpQ+ZQ4T/C7XSmYHb+32rpI8VaUApODzADjUj+DPELXR9fSGDlMKmpym6cwN1Je5YpJs3dN2lCsIvYdRZC0i12oGu+jRsVb7WzzDehBDg1KVqp/U2xGaxerla1qNgjewEg9fn6i117r0Y/ZH3g99PhCfal1Fb5UraoH6tGM+rxYnXC9+mmN/AW0MOAHxD3YszXvyWoeKHo20XCvtVPGi/HoxOdp8FqZtdfaCTirGtjeneo6lkoDgNd4RxcNetNrakIlNn73b699/+rXT+tv/3p/+enbH375+s9/enz8jF9+vr7IC7c3r2uNXg1qWsPnC5+3XoI2jYeEeyRtyO2ID090HvcLq6DSaKu05/Wa+/WaTW/slzUzr5kNWfsJyfc2bI3vJ21gvBEXz9zDRKMUCvQdhUGWtyrOlKvE2RpZsgyPxjBeEMbpxuktjpPoZRsaS5DiNpejJWFVw1If/WFvGUrjasnWDFwnmFHUGWJiPmHINhMJRxu5DrOaFiI7Ec8om9IskpvV19DXCDewcNx+Q445lUikLmBMvlkT7UVIVBThU1Xo9CwWLJan3LlvJzCVB+5R1vIVO5I0VXkX2tK8pUCEDXsnUYT0j8D56Hqj+TZOuDWP3rE6RN5xo8QWjPLEeFxIKyjVLG6wi2MurlWOS3VFKUN2Qlwiiq62jvLWCjfPWqZ9FUdkE1vVKmGzy7sBHA8jqcUSkHCybl2Pj68f+3G1F5qkj2kv/cCBTLNHVx14fXoC3w2hFphUtHVMGcFrDHVVdAYftYBVs7h6RULhj8Z/+OnjTx/XP31cXz+IxufMfev3b69/+Vycvm/9+m1/zrol73rOrDYbS0trgH4NV+ExrTfKkTxYXt3AKveD/+FP1//9v//n/+G//sN/+cefmh//y98+/1//0//nf/w36fl8bgiTzNcv/Xjde23sxqoxpmIkuYtMP+3ECoAdCopDrJZpTIzndA3J/XQBu0VXlVfqSDf6ulR6JzkXWYgKEqDGQ2em1gb8BZQ4K8k8HHJBTP/brtFURE+oZEhGU3EkF2mqIpgKNx4OW9aFet1jL3h8jwQPPHcMAGD6NKPRwIpLElsbC11qcEiYaRwqjBZXF0zV4WjZDZa44XZUtJOpNICTLQ9VdldT8uVOAdpblU1SelvW4sOpoy075nA2GmWrSUsT1RThARc0tUxUCXIUxSveRK74Y3ymyYhfxloFvOuFw57HE5tlR6EQc13CdoKpkWjwmDw0qLLc780efAuGJNV4O/Lzc/uiZvahHK3tAUwNCU/b9814mg282VYQNdqkR0ceO04524kXi3esOhnZnjPSwworm8290DRUtdICTBjHqrt6qWwwYVaRr9JHk9yC6716BuVQ7HiVf1A0ixRqJdOWCOyCxKQ6Yrigl4oz84SenNTwOL3gClKSYYXJcWI3lCyFTOFVHVgfhh7k2ELXbM8JTZyYsKK644l3MNXmOLrciEFOkZyBxIaMxHZtI9lGPDwR3NyA0/UDGJ5RB4/aTm1h29PzdC3rhDtTL6+vZcuLs1KWAtmuRU8XoVK97fn04+oZrKJiWzXAXoM5PFfFsaknsO29syuJgi57s5DGnzJC63rxQ5U+V3bSc2tsTDXaz/GN+3e8ft337f3kPHF/3p+j+ba9izOYLgCamaoGubzdERYbHXliN60s8kXWqhZIul2u1SgWxKx5HdTAb/jmbE3qMIuHas9qybB7Q9fpfGqRhMC5xFNdvErSoMbeyUq2tnwdaQxheMQLcLIE6M5zmHzC9FuEfwB4dAFH4xaVcuAzOtl98bHM/IgTlMUYX7RN4AIm2ijJ1bFAoJgs5Eo8olkdssCEI71johdkoDxoejyRkJMpt0ZPAgpOIXy930HFQ53xgMC2Wo3Oe4dYAV1T8iSEQZNRKoRXKAGgCwMmHz24Sslg4cYs73G359k3X/3wbl5Lr4/uD1dVf1mPr8UHrg/2Vf1xsc0HIFxd6zEQ1rrAy95UCS1cAI1IZUYe4LJD89NceDOls7fEfSv8GWyRyrVSDUeAoRam0pVB0O1zLQzhV5plIovwvgWOP3F9XK9/+PuXz9//7f7Dn9bf/zj/9HN9Wc1mtZRoC3Fufn7u33+9X1ujrbHM2XOPrIJ8ygL9PsVEje6XPBrpNcbUvneRelnsrO6ezb2O5NPUlMb2Po+7a7sQAduU08UWg8MeweFQqgneqyljT2InRHFIqIR4djuK9+RDaHhaDSY3Bw5ydiQrgQsPoiUbPiHdofQ0RtYI4DQZ5REbxHiUaOd3D9+RR59oibcdyy5dKBN6rVmlsvLLOY2UkGeN9jz6ATizqkZuNCrCNqOW04Ud4bJd7MaIxhx8Lp/UTNgtCCpFv0I5rslKLxxjBVZmAWJZuXoY7C0ltiYDl8Ke5LmDkLA6uCtxQDG4QR09fdSmxuqikooNL3cXF9aq9Ot2IzFI7GqXxkhSJFKkxACrrCZnT2I8MWlyn8ZFY18ug1ho3mSbLLMK14WPVdejf/qoU0Kd4KrbZASYPs4mu7o82p04ntRfHPmjvVGwFvPZYtwwH2Vz1urh7q4SuNDLHx/6D788/pu//vJf/dOf/sMv/c8/fXwt8tG35vNV+/PX//c/Pv/zv37/z7/5f+tv32/99iqvapU0OtGVy9ZPq30Vbs5sm0QZBIbU1f1x8a9/+frf/Zc//9/+2z//t3+oD32uD9c/97/9K//nb4Xrcb1mUHskc75Ps/ZCv1QhseAuZ3BKWqB680lUBWwsD7noSS9BVfRZLDspHODIHO+uMmu2Cb6tamBtmHDXwF3s06rgg2PCqzwVPonwxIkqZ0CL9wDt2NYNsGzqqjarFolWTQyIhHgbp6u5bClmtk3fg0lwj4hOxCQBKKQRl1ChF4pgk15VBayosCPFJpFNdNlpYAzOh7eRFwfRPX2w5To5KiH99WNgq2ijwLR6x48aXwtZI8DH3IAGrFpdMtrjQqXR2GJhDLaTm4P306ETyB1kOeD3SXDMYxUGXJ6kqgzSihXbsJSiJKW1qqIWNCuChSMAVA6YtzjgSKsAB/KPxQIC19SNjSDsGgL2GMxS6SrjlFXDDsYoYyS4gh463x07WYUifgipbWXRkVzV0qjriO4ldoXXL8DdZXWzUyJfBE5Kb7ONKWAI54fMhnbm8PgcykfrkOyEbtMWT3paAejsTYF5LUR+HINBZ5zOQpYpI8djvZMxXWzUsTn6rXqoXD8Wkkx60m12JGkF7LCYtMlsTF0AyAHItnZd9Ai4YaVNgdg6ajBOvTOiUUMUV6rTps7+WAqi9orQ9LrQoqq63GC1B9jaDfSuD95ACbh2aRlST1VfSSpzud1Gs27scrvc6aMVuaEecM0tyhbmtrYla2OeCQQrpMQIAup1bYRmN9GzQsq2Uv9EmFfd9tpD98y+X4Pf5/m754l9Y77P69vo3i9Dg9JerK2BuMLc6GhsaF/ZyKA0hTbYDlPsqzJW1qZqoytIQGbYE6ElY4F5AqR8fRA3qsrr+Gcy1hZOYUlfPBg84xN6h9bGQyyO21Sa9AJ1paYNdi8YFZmOmD8v6EkP5sNS4uaz/rfJB+Sm475KLZBLo3NHJlWVAcxKbcyMsYLFJycgsXGwJuaoaH6yowAs7Mmm3fDJLU9/c8FTRdFeCVPSAI0WRXhJg5MsZp/+AlDuCmGYNRwlUyLLGywie4AAB6bI2apgVRTRiX4HDSRPUaClVT0YqiYpzTWlZdxPmbeqPj93s1iqx1oPcIEL15deP12Pj/r45XF9ARdP4t4eNNYxBMJRFF5Fg3t5RXeZNWYzdjHXnpGW7f2iscb2YLZH2LNfT3uwEn1RBYzqrf6Y5PAl6aJObkuyAcbbe29dUj9rbvpT9xMfv+/fv/TPj+u6iiWNnrfmxdd9761912zNlrE9bUsa4uHg2wQkWBhqZlSWtwTF/Ey6X6nqgjXHms6ZsFR7l4UZFyt6JlGYAZfGXb6Tz2pBbXr2Li/SVNfCHO0NPFsoCHtQmBE8kG7YcNseUCMNAZSt+4CJBgRpVK4ddtQlpHsLudNKEepSqZ3P+RyM/ejo39F+k+XuXVODHAARCkZ4bOw1kMB5Wbc3IypAoUbeVSX5tu7RY9a6frR+sKrP7ehdysPtgOSGjS7MkRniAPw1SUNnleDUvHvHO8AJ5OR2YsCScsHk5yCO1/Mz5i07r3Lg2rCD5T2x0gRKDGOjARJ4KnckFFQt2q4Gr2LnmGEXVzOt3/FuwEg2FZiCpmwtkePIZnmm2HaL4tTVYzHJHRywqwvqH7zq1Vgf9XhUXdMmPK6G5ijn/U4kIdLFwo5UFzD3zBAn1LE4U0cE0VqnLOEEGxcNjiejgR7L/+e//Pw//Nf/9J/+/Msvj8dPH+sr8dG8qlELX4k//Pk//uX+n3759X/8X7/9dn+/v/uXVfvVNbNvq1oGR4UKZeVGsTYihWfXAurx6D/+1P/0xy9/+fOXr5eOWtP1Em/oWsR4fVmWnpvavK/a5fKuYm167DZvjgardkfZfs3SrWy36jr5NnFgKLJ4JbKxZBcLPTsDzShZ/lO8oned/AclHjV7kcpzF8H3nnEu+khaRqOJVsIHbB1Ngyo3UIIq9AIA1+UGaLCPUSAqjLZgznie8ganPEguDI9SrC7b5kJhhuzE7SSMHWazKuVCVZF9wOcjcfKWIFWRNjTRZ3h8hMGzyfK2MRzPsS8kEuZIpPDOzTZB8Xzg7vzSQ3meEHlFVhcRaSx+Zer0QGDR5LiPQCULBhKR0e9aLYdsiHlHB/1g/rnRSZkQfuiuuCQYs9IAPkkYKSMRY23LxxQVsS8NHeeu4Jwi5uvE9+sMxnj/T4GRi6QqDEFDdc4un3czlJcCyjM/YjkdUgKi2sk3cmzgwHkb21S6aGDUQru6u94ZRcgfXaVoj5LOFKoAyCqFwybUyelGDsMc6Ukxi2UFmbzqpCGHGqzMOPlFvq0AOTdDUxaMQr2ZoCNQYtfbYXnyIhCvLw5yGbsWslpEHnMBg3G6VkTBa8UJVjK6xmj1WFMeYBU10Z0pESsFuFA3Wa6FkbhWwmcJcMNlP4HtWXCJH6hqUFUlD9r3Qr3Y3/340v5ifq2CsdhN78EVsGoS4v9RlwxtAL5VLdws3HvP7eG8BNXc0mBu1wsYvcSaueWF/MZqPty22KZIKxUEUyRqVU3zdRJ2X9J8vu4n9YR+9/Pez8+tp/aOX0JZuk6asY9cvOECcpecSdAktNSB9ZZCzieXwoC6O/VYaQop0MYi3HHvuBBIMPKwuHky/B/8IZ7PpNv4vInAiQslGWcuxYofifI0r+QniSxPtLy5nBxwNvAEDaC4MOrTqjl2lw0WljmuxkZTnXDNbhMaN1Eg4eA7lbZC1PY0YbmbMtLEGV9icjZIiG6VkD6hAqLBSDY/ZOb4UkBfH9SVpjdpqmYpaQaFwLT0kSEIFYmzCke04CJgjbsoMAe+T1KZjPLYhRKDmHhclSEW7wN6tnmds8CKwWJMVI3Kt1kzgYQ+9T1F9VfhoVWv9YVffu6vf3h8+fnL9bN//rn4UZ5xoetoTt14R+qrSeTLFda6rA74uphqWe2vcvJ6zb3v/dLny228dkgpyAKrIywSPGUKO8+VT4wEyvZkU5NnC615rpf0kr5/e12P+vv1+lj9eDRvvbb29lPfOYW54GCql+dFlNFOiHyqZ5Sv3ELhhUjCBRrWPRVCATV3EppzXbhUL1uz5aMsOVCSjT5ZFnvk8sGFMK6qwR7YtXrjrirTtbG9IwNKLhUhQRyyTHrPfodHDAxN5c7ObzVSoIq41oEIOSF9STkIZK4iBUOrOMPst/DHRido5vDMyarJPeBK42dbaYYSRrPLC3vPumppEZswVYvJJ3EyLMfCI8F1UeszFi8zhqYebp+/pcTJoXCy9iKHMS5S20+yjwYRUA1Sc+U6fxtzUbd3/jzH3NHZAuyBnK5yBIjJPIJw3sFTTUdkkVXCOh2a5TdshpgL2IOqWorIK6AdWTVQToU6a8gxEztjgN8txNWE1m52XJAJJAVDJ/dR5hPrg938etX1xQwbryveqCOSRjcws6suyQkwifFP72PYODtSXUbyN9kkqtIWTPSgHgUUqy5+/dB/+uuX/+d/95f//k9//ONVxN3czYe2h9NNW6X6yxc///j1f/nbb+uDHPBmXWqavGYkh8U0s9dXLboFH3aF18WPq9aF2fd//tuv/9svHz9/fCw+NP0//+3z/4gvhpRlzep+afoD3ij06tq3SPStTyldiUpx5oWFwtY9Ya6WOYVIX9M3bU/SJ21QmjqPgPYqolaS6VEtExc54j6pPtAWfDL3btgzFksvebAlg4M+L6vRTehoXFOFkPwVlLvV60KrTS5oowkVpCxCHgA3rZp7PANWIgKInYzr/ARMY5Sxwp16QKy1uqpixbblqXSskQNzsDMippzOGnlLKbHYCKT7DlGsSOOAjq1JrApkxfVWuEdexPcLlgnhfcsdx9qbugxcaJ8K7ZDhVex5Hz5ZkwPSn3h0ZLPOFnL+r4CLh2/PdHuW5viPV/7yVygNHPDyoG+QpNB7xiD1LqdtSrajuowHCiwUpEktziFTJiZZjIdhKXP7t6wQ84xsIhln55A5ldn5Xt9ypWT1HKsSDvEoxHET9SHM1ew+raA+7WjtH3ag42h2RR2YYf+sVEdgnb8jZNT70BP5lhHZ77OPRzlzRv5YmxB9EnEIcwZMjlCSSqR8KIU65qrjzq33kkVKqVJ0+OEoSEIH6Ph0swCOnfzxYsRLwZeTKDGmWduT5GHJqEpJn23t9K4riKSJpWPG2XLdmGW+NL2DShX7xeFlFacw3+/1IL62fwJ/dkGpw2a8ZZgNcV/2NnHrFCBz5gVgc56154bEe3xDN/yi7NnQqIk78kTDe26wSwIXrNquD/et71XtF6dioTW5eX/uPdgv4QW9tLWxYyQhVdXAnFJJZcWPaBXVsU1ZDTdbw0cBSqEM22CxXYuk3GAXnNypFDMMkstF+mTKiouVWi+flRLxoSC7wEmDxbsWQ3ElztFFISLLymJ/lvs4/HNwDlflZYGRe3sG6NgMbHSeJpwhPELf/PP05biXivQmjisqRYUBwJBsv20/fBV9u2CsFFpjiUJCt9kuXdMB5HefZ3bKFhpleTGhX70Wtd9QRfA+VCUZQ0W6Bya6GCOLjZPZpXcAi378Ags2BYVnrqiCZaJEqAhd5P1uk5mkUeCcJ/QlelmoBQE7BhMj9ttFkNRMSllefdM945e5Ss/xd+ub9XOtn5711+vrn6RLNksrp1wCgClvgp9Gi65uvlDrCEtcNVULQjInfI1RLGPpwd41V7reqW3sLV4s0eLdG3P2vTMNB6FSMdNDJHgcLI2vmq7GfXt6XtiVEZdwKjcGQBJQjovJMBfiGJITeuEeSDVb2iFvcVIoj3TVO1aefUCMETS5SzyRAozIGu7ltY/i34S8I6/XWWM46t6vuau7Yk3OxEtsKXKO00fAeGkO7UDOFkmRMrHnXYOVtT9u6nw9LleGIpkH+D8RHtkKsxpkvMe5Bw6MXE7p1Ul4DZKgYx+T3A0Zq/fWvaEXqjg1fZVJrowCJDkZNbYlrI+qkINJSL5GQuI2y2uopsuV9QKmc5uEmY9Ecq1rHKgv+L3zs51oGrzBd2/yKOialhVxtQ4EqsBkJ5BF0AFH3xjFmVtyEYHoNCsXqoxmE6kiv4qrDtpa5cSL59y0E/V9gLhgexGJIHFmNK3kLhehMSs49Frc7HLVw27WejS7urU4PbFvGDYWqNOsynNOLsk7OeVxYdp5QLxPeUgl47uPSppxG1vdgeX04BL55Qv+019//n/8p7/+X//y5z892NI4jo4k/FY8F6vo4szr0zb4KBqe1mL8xq1QNcablkCMhUNE+bLWWr3Jx2vmX/5x9//+Dz7++U8Xnvr2//vbr//2bcrYBuGhTXUVVFffAy5iVa+F/vSo7kx0VQt9P+E2WZ0cRSI8U069vjwvM3a7hEgXjD7AqMxd95pGlHhqplC4kAj+bSfrbwxTU6PRvZWMiA2d7hOjmAG0WD46N9CNEoDFqmuRJLtKdApj6KczbpWLI2n8Ks2bBA+KhiSvsnamWhtYpdZpdurCo6vZ3V61qrPXDpmYopBfFhsa3berIoqJvoXIo1U3z9DYb/WASc6g0hdfxpnvzhWW2XGiKBHM80+cgugfgsDkP2TszAQTcVSUHOpqFaykQMlObueZS0d0FbjppM6Eu0TULhT2DIsQlubMTynVSegeisnpKVO2EtBvt3HPsS+M39D324NA62TehWgPPJoOsDkKFjqdP23kaTwFMSsICBXjUYwAMFANToq2Ep8Sr3IMPlwKWPnBFYa2g/AnBgiLSihWVjPR7G5kU3SoEtoxChzdCYBD1rz9TjYqJ0FUPWRyy/LmptyIR26cAwPZpepMZ28v0oGX670yHX4DPFm8ybt9w6SMoH+kuBiS1prjGsaq2jW9Y8zGgO0qao48tMrYZieck9go2Y2IXFFFbAXjIMZNmkna5I8tCWkmmGThmuS92V3A6xPzsH7/fj/u/dPr8+fr46e1vnB9rLXK0DbFl3fevjLGA7mw7W2/pl2Q9l3+BF/w2Cb2HuFWTKWJF95wTRWLAxF141lluCuEohzUXXfptnB7B70Lw1MpXW0nWo6pSGHtA69rOprSOvd6+2Jys8DLOX9SWGoU1nkswOizujhZq0meusET2+SshTjemvM8AxZpo4xdm+opwRGg8YBWQXwTyJe6h2bNseobU+gkfsevi2oaaEbxn8/e79KA0lBZXc3B8LRnwa5NJttoAUNfXTMFz1XcyrI0mbh6xcJf204pe05uwaWTWOKDy9nldaTJUKqLteI1WNGTJjkeJW6iQfUJqCZcQTwnr7pmEYPCD/jWZpUnpJoaVey9w15zv+VxThj0OF3SPLhIoaBypzrFhXfmZhEcTCwfQdp7dRO7LLMhubW12Y9CcX/iNaPx9/petR6/tJbFee4jzByamz4wTah2uucGq83qXl0QH6vGk7CZicHrct/YDdANeXFhwbJeI1vh030Hr4ZNSjth5s1OWVvGUVPbVS+3e1VXdw/5NqAjlMFJSVCiO0owj9XrOHnkGd/k5mg8ElYw7AMjo4DaAj0TIxtqzJGxN5MVGOdnDau35RsveOGEHVc5FQK9Ff+22eP75WpyToVNLAAnxsKoAm4LeLfcxa8AQzSHLAgbwrCbW9PHzRUgx+BRVMVZjPer7ZOYE1m9A/m/6X0LKnKIZks6RhdB8feVym0YGZ1uCbWK2/fHT1WdUZkbIMtUjadYo/upvmJVXGyHs80gsjVv9M52UiJSozITJ88qsAV35BSgZG5PHfVSdb9NzaDeqeDnZ6wTEpyBN8mLgrJIH4ozzU+GQ0cew2CKqMiEMxa4cyRW+dFFSAlcbBrGTJG3cmJJYsIpPHnm6Dk5QwCjY32jkfFXlcluoKvAtdDFR2MtNj2wXFKpJlPsOT5Mo0FI+xxZGwNDOx9rPPRBeYY8uS1Vi343I2KhfchIb8+Xr/1f/eWn/8t/8fP/6U9f/9hFTXk9FyJm6uqXpWpwufivr/v/+9vr1+c2Suz8eAVOehXk1blfj9dmA91dEOirey2stVgc4/P2//qvv87sP/3ce/Svv9/3lryIPW8VmFEs1e5aHro7nZ/1vD+v7SFW2/Et5o5ZFRvskSjvOOGy9mYOO8CLFR7ZBOIlje8R5r4z/4zZfu1JSI1kBdS79406NbfZRwGceIgogU+NAE6KXru57l5XodDuAxNlJEIuLLtuz+s584Q9GpKsY2qvTqqEC1NsVbHnvKmQr1VdXFWPBxY7rWe0Ykp/62BxYJxsawbMxbCIZzIEjuD6dEodvU0ERSKJ03uPOh87C9XRDCOwxwB9srdKTLB+tvZysEYkJCWYWQGuhhK7RZyNJSAX6EDJaXQ86n4ceP/cgfkDcgIswRbGSXYLwQhtvU1TcFYjya4JRq1ka5rvWTLinkiScFATlg3PmH1cqfmQsVALxBGr18kdI1UskF0kG5zjWmT7/d/H+yhjJZ2oDruIoCesLHvHm5TbC2mw96DBwe6qIG3HwQDqh4ozyzRwnMaR8/P9+Y/Vy2/5vpOBxoMQFY6QEWRD4qJHR7OERGaRHDA1AG9tcggCw+82d2XzS8R7oCfnJVFcr64yVFMudZWAtim5WOoJ/yM9rJcrJHf79EoL7fedR4Fr4LIK3I0mCzJNpNMsmCrlJQNr2rjvtUD7lu3XY+sfur7s10+rf+rrsR9f+vpyHUIvm2PGeBFjj+ZlDO7bGmtLLr1Ge2ZvByRQeNqHweGGa5EwVLOwnErI0ZygOFhjYl6hbXNDohMh5h8OP5i46InkcRAD/hRLReoyh/7QG20utLCCWs1UF9sl3sU6Yv4G6o1EuxJPwSKgyAb5HsCdZtwAaBEfAlSpvULqIPbsSBJC8zgJpBEPhiLMViynawpsurPeHcQiylZlzyQ8rBStZf4tKSzEEqA1iIs4f30hA3vl0PWsIu2VXmimVbJtNwsi0InasUlMq13J/l+ZxVBYJCCshanNTSUG36t6ZoMobMbU6ATdHp1llH4Llapsm4sRBhMevVMCE2+GseF1VAlcaQ4G0adkpysLGVzO11cDwy1HFSpg1ekdq/8/U/+2ZFmWJAdiqmrreGRmNdCNGy9DEhj+/+fwiS/k8CIUDGSA7kJVZoT7WWbKB7UdCYGgpbsqM8L9nL3XMtNrA5pByjBGVwwYRchsu8Ru6MslW35/x7vYL/z4vPXLa9hDN8GayK0ibscMVe/xojQl+uql1xHPvDw+Srw7iHl3f7F/+P2DX1mIp2w4Dt2U3WCK6OtDXoy7oq+PoMoObQv1ANOcPkd3dOaALr8KrJq+QMA13Ok71FwM73PszND2hTGDhmeuUSPnbj+OlqR9fyZzI3AR+p28+8mKYDBET5GNRnN57rS9zyDoOYe5CLvvdrJ4hpUYJXEFsM2m8R6l3D4Fo7ZnmmCBA0anmtPzbmDtsrjTBNMSR4fHJ9ErqttlQEYMN7G4DJGDQyv8d0cRtBfDYtXybOdGw3zfa9c7nYFv/lrlLO4cCDWcgvoQHsxFi+SZas5xFd3rAy4nimwwmARtoW06zCFJQoEHCCY478O+kOjOZ5PEkIHg+FCGRtltFHhD7hug2WqZKKbDZP6HWxWTUEYb6Ok5MbbZtEuUE+uwl16EsD1Di5XUr6iKmWkbQLa4WQsPHu9iIEsT/aQVkxCbmc/Lp1AsILlISSNsF5Nam0OzaVyMpzWBKD0zmOQOhQWN0e8cv65drB1R61Qu6HSVuJIGyvqHX/i//63+p3/67R9/+chh9eakYMz09+43/b7+jrl/zP/76/f//F/++X/957/98V09S1o2Vt25LVNRmiWZJk6v0gB4+bxYR6divuVY/+1v3//2XUdxrimvTuTUAxA3DlgWj+FBo/V6fbzq+7vPh6vRrE1Be+PaIt8Ceg9touBubaIlDHNmDjntUcMV8Snvm8WW9O47nhm7L4VVe0SR8r4YGk6WNPdHzQUq9CRBGizuNNYGG35VyhxGSvxdNIbOyz898/b94fvZbk6bhjboJpggMZtdRfAR5SYFEqX50OuX4hE+yO1ekGS/qW1tAjb86LmBg5Rwez0dACVsbkBZRhgrwf0ocPQT9Hc+2ZxNmT8nmtvxwOI0iFjr97ZPxLYxGloPZBMDPScDp2XiGNdESZOCYgO+TzTOs5WErYwgqJtVNs8k1RueToh4r0/2J+2J8deMWEqRZAIN8kU6iUEmGaaw/eQIb0JygHNyo8bDSAZVwDITE1SdpaLgqVX7KGNviVk7yZNfplgJZyBlzGFgExqiB0Xn0mmIaMLTLHCLd9Mf5tr/W1EcDgwaqMEcVHJbQfaj5Q8M9FC+AZgNrJc0rGycy1kZNo1HwgY1LsENx4Lt1QE40948Ju/xYv1R1ASoZXY6kBrakwiNSLuGUxHMv0DLRd3kCJaREBLfuzaRIWpwH8YqMgDmlqRm13+tDLCrV24FfjVShi5OmqfHd1yuIb9a7x/N3+958fVN+jBL/jiJv57b9869bs/5vDPydZDMGcvHTQp+T+SlJtL/2PDbLE8zlQ3+xFdZg6O2NJeMmnPM7a/Z0kiwwecpS67YSY5R9K6VnnhIlFBdKP5qW+akQ/5p4RRrbzyxUM6NGItyhGfgKzKvDCisPUmt7A+UkktfCUCkxm26MJ3q2PDR0fowTvhUQ8Y+PnQK25F/AogfKr9e7h7CCPadFHAidSueCj2WrzoS/QNd07gxbvoYw34l9GcsxIHMoCDAGC93qzBhPPvugA4aTZ0XMBoVUke8gxqAQxCyWAOdSBhTHMOZi/X8YgZbpgQWQEwbe4bmWVWOjqqM0yjaLpOhdoCZfIQBgRibDDHJCZmwByxGpmHdGnHoIu/tXYIIx9ycd9jojIKT+oETom/eAG8b1/M2Bc7rF87rooZEH76qtptsgtJz0DLHnzllE7Oml14FgfiAvlUiRz5///r6nPcP/vjR7x99vy7euZFA2SPYNzk5Ed7ajVZS+W87EqeUrkQNlTLcRrXfYB2/AfCrBl3UZV/QuPcN1lebOSrag8g2GEQv/MhoolC775E9N2Hb+0E15p2w4SKue9LkoaRWYjxTUe709cABd/teEZwoXqaTYQwYuL1Oe9L3CthSC9mDvrsYD8FEV5myO995XFxZ5UB6hUNgWA9nU1yjGeGFxkU74mqQ9fTLgN25GTrVGcXsxZ7dEZqrtQnnOW3Cl3i/59IGj3A+YsF3CmgR7+6Q1lhj8NOuaUwpF6jEhl7wSGdpr7x4fDIlthFGqIFe6vfAan0rXpgatJhfivBdi7zL7FuFDs4enH/B2JhqIgPZm9XWemJtILn8SGQIXTmdVKRcxRWmseVqjMxuT+qN+UQwG52vrGPOBDZSLSYEY4APzWDQKVGcnpcg9olNVXOIod+x+GRaxzLAy64TJseabdUrjewO0ZUnAx6/yaNiwFIat9en6ZUCk5J09AJ+pX9lMkIS1/bl8WePb7+7/979/ct/f/uPH9//P5/3X/72x9+6mnxPNNMpqeEkSQI6wrBrGGEi0392+hydo5dYZ8KOFWF8jOoLlinPPQNUfxlyfY1T/yhlkqAIvDxTL3y8jruHUAcpgpuH8+WbTML2jW8ESA7mMZtup6VyQKJTXgPX10C8FnzHvIwx0voi8s9MIwYVPAKXNX5lEPYEhsbwiL19dhk5z+HHt4q0jB5Qb88IP/mOz7e//9H9o/0uu8dD1OR93tXP6edgxqRRodERwehQH6rzqlfhUGkmG0MoOeUDk8lacTEXwuRO8lwSnJffxQvkp3whUNlQ4ox3wAupIGB785Ss4cmcV6iWjbThGMMRp6NWDTo2iOLIns0Ql2yrzXLDfiefj2lgSsNBFqvHEUACyH+YfrcTsPkMS76emjSLx7rm9HSGQERY8dCddNjBYPzZy/kwpV55LbxW11U5Lft4nuTLpPcy8ZeWMj0HODdNchB3toSUKBrFaHNUARZUekCdnEkJ7l/JF5DQzbxXOdny3yx2uoKkFS9lyq1VwsSQAVjOwLf/diKKIlsq5w5naqlz4TSlfcoZUgJ0tIz0mp8TX4UR1QMdxKCGdWgUubY7ZPKqzRUNUMETjiFtCHHTFWsTX8pszznqiF1rGhrjwD3umdwxaZ2/mhkc2s2admGMj/YqN0TN+8RhmcE0ttexaDTUwvjNOVWvH+0DfLkLA/vQGOt9GPwHHSvg+EIZRRQL3N1yLMz2xHpoI2JKER/OHOao9mshdzbYht0NSJuSgxnSo0rIllphvwCrAeIMtYlRPqRdtj9AHpRBJ3lw5BceKjojBRJ6i3jM9pHT40sxAxGR5DwKwqdBNItgBUE94qA3WQBgcl08YhK0svQKmOSNTlgsPKLe+F8BEh/1miHOeLJLDm2mC8JDgNCJZSG2ddcp9CKU+T3OfrPTqJXNLGGV8T1jkk14sulW2FcdEuNDZEQSQRUwl6ExMiI+J4oCc22W85CFwQh6wVcvYfITzrZ8mgHxQEamkHsNRqPLx0SyhwsXhsQ7BSf3UNNmoWVesuSy3yiqtctgmdbI1M27GFUCYLDuZhWb5GVqPxJIzHWAjfyiYfa0bt3f8d//uOfbgVivg5ILf9ASxIlLAnHh0PwCgSkl08zokq7fRFkzb3eUpu+5w3vNt6c15vjZ+t3mUB/tkTrXCkggwc1IDpW3hL2qAHDeU1W+oNzvSSTCkOzO+tnNsRN46RWfxV+s61GWrqRzT4qsBuBNHz009w3Uzbq1pluQQLlBTiNrBdGbDLLoEluDzr25X3Mq072itXwRA00arxLlL6cEPTsi9l9IqsOe2Os35k8GnUAtWHe90TfY92s5cpzlY/PLGrDLxswU136DOS6EO2eBMJtjW9VnaNNOcrXRPDV+X3j8Hnxvf/zKj2/QL4eHkI+uwHjUitOWG2368k3Xy0dG3oZ1oiXVijUHnEnhmFAeKGfzYgxSQkNp0Gu6I0Gc1erO5Yk0WTlBzC5Ub56Zh52GLhqDOMYmgRzY78WP/pW+z4FZAMaVFNMONZ7mhPFllxtLCLXFdyoX5GvTh1tJHAJemntnYTfOFGcEpzoyjbAwFFd4VKoKQQgTuhkOFCSCtEReN0UEJmlHJrqpmyCiwkw1bzuFUPnHobb4DXj7/Ocv/9vv3+vlf31e1/hqT3268Uezr3/v+pev/vuPH7//7fP713xe+T19G53uifoaF1KntTArWdhz0ZR9poofh69T314iUNUJ6NFhWvjGgntIvFtk9/i0r4jpoQ6q6OGBry/1Oud+aT5O9VvAl2m13axDXONGm6aZi2b0GXMjSdO0cnyGBUphXWxVJOBLU5tdRESXb9pdjFBXsEajFpCqI74669jpmXrRb5PygC+cj6oXdGaZcg+agCV/b75/+P07+J36wjvNhSxoIuE6Qd5EhMrnaIorrcJrdAjJVT4iVY05KvdQGm0HC+LZynHrZBxliHMlLtUZ7wcw6jAUWWA/W2OX0su96c4wJxidVyyybE/AcL6AIe5M/s44VK+nB+UnXRdD36JAfjbUUTI41WBZgUX7etaVvGrIJ2jpaQBzzF9A2l/vIEYrTCyM8Lrnlwl48H6Go+NqEpC8YTRTE5nLelcBL4Yz4gHj7Ai4UnA8cVzFPyfJYvkID7lQw+RxK2G7k8gIFRmIP7e9ftYkxMsffRBRoSUeNVEu+rxtiJgiKIefgINUIWGr32M0WCSQzBCFSH7yo1AZVHyCLLgTA0M7FndG8cYIKwcZHoKZ7qEK3N6nNdarJI5GvY67C9UzYhLyiLVrbU5eBvkQkW/3JB46kji9ODdmC4zdoscppLFPOi3Bw3knomSqfTPERpgOhfbqNONRwyM36yOkDE6vPJJ391Vw8Dl9QLF1LPc0gAIwvMcyNUkwGZyaHBUyknKeVui8JGuuGBgbegMuk0G7d9jcPimaLAMnnQsRTTVIJLeuwJdMZa2nUiNtVCB9Yhb+iTItpFk+6+lsQHgYCg6QlOSUBAA84SfPDtADs1CuluXDF+rdhMArFsYbo+AiMjD5z90RwKj214896+xExGgdnRgAGKOqVSps+FjeqjIu8hLEgJfFvg4zrwBD1AfdnUPJPKi0gUbVHfMLACxL6HYEbo/ILawXAxaMD14leqPsOKZeGSS6WQQmkLKVeOOMwsGOd8eFDaHQTUqOK54unhTnSjWh6oTB9BwRBA6MQr9tYE5Um7Px67NfWAafRpoa8pAZQ7qvonlEtq72VUFFxAjaiaXMPu4ibbZjZZ3Bte/n19d0+yWSUk21QhefWn8Tzb0KKk4H5JqcnnHnGBzOpGdR9sxMvwlwoyDyWSI6x68JC5UYk4w6Q7waUyjQ1UlknuhU3O3G8+SSUaglw5rm5JTDMulm4mHh+HHiE9ioT5CduFWokAZcn5yRzVSm1OOFyuWhMdea2Z6rgPDO1peN3wTEuZg0yEVPmcINKSzH5q95VTjDLfzMbXA0E/4nL6kAJ5RjWdR8rp0XbLSwQTjENX3lsczVGcI4HQvyn+91ZBwsYCaRns7dkCtwqJUAdnqD39NlvL8a47bGfDX5IX1UvU7c9nHakNAhbr/bNuZ955ROGiynN/IqysaV0ViJSPOKAgZi2u44xeqZl9CYgMLJAxAkkiNMF8dN8amkM4aqQRD/TCRUc5S3IXSMEhGpXHLDqRm1qddEdqkB9hy2Z4A8KzM/7Qz0e8Z0J2PW9rxrlDVisJwoF56O49CDHs3U8GrUYU9Dyg9JD7xZNm0W3DNhEDdowwHwegrVlioY3WK5Ha0CyTfThUMkppEEitbcz/cP/Ne/fv9/EV/ff/yFKn3rA3ga/TXz43v/y/cfv3//+v6+xmljwPvut8eue6d7fIRBSkEMKzaMPDxy1ASn9GtVvaZ05LkErRJkvK+td/kjOerZThTBHkm/wK6dUc7Fl8nClFDlIvzC8UHjXXdq6lUe+2PYwtvMxGSk9Spn1vN8mcPRKPhWJMc2Rj7EjXVmZmLAEeDuRVqNFK51kTfdzmTxjN9QNYdnNMarVDoKbBHc3X2dqp2vL84f/vzb7T88X16hCQsXYOIDZDDEQQ2MSZB33arAyAh7riohXPOC0Il8D+KdTpaJ5IIZ6iP9cWxSvNkw8kTNBJ8OAsPsk6sZ0ubIj4cQ1Bo5KCGSIRKCWPFsmYOOvRbp1YkxH+PBAW7ElwBUvf4s4Dl4wraYmoCePz0RydtPVh+JuO7CvmxCQzelBGSvnhFOHMD6msPQIT1X2G81tHnIT7Gztw+xweAWeUKl5CqJ9AkkcBDOYxU1GajpxpBp3cNj2AZzwwjaBKSIutbTjF5gchDYamULDNwFXO7T4cpCFNESljbhXs/DyR2RP25JAO7U6WdDGboow20e9ElsJLp1wg+Rq/m+q88E2wl2dWWtyjS/UG6EFhFOGQGNiZnEHS0VsNzDYxMI/cxDtP0q7YjjkeYOPXrios+h5wx96rzL0/o4uLdnMKpyAjDmOEPYVIpfohpnVN0kyu+pl9zQjAXM+PUE5LaDNkenYapcas/QNXHgZPiiquYSZMlj+uWZgt7ya8Pc8wXJQEVU6qQVC/A1EgPgWSUaZ+kj7Y5oujmvj3yhqsNJDy/Vogtb0oWo9cINRZePeXHLmN04ZCdYJPH8djKdsFSTRwGRM6PjJMU5tjm0iqReri4orQ+WqAbwej41ZUYJ/A6tPb7tikIU1S+d7lm3nh0QHXCTokVeK/vhTv6LZuftjZIsTVxrVdyWOtYH3bEE18kMJaZ5yGQVnQqEzNHJB4ILcQpk8NpdWqyZUF+5IywdQ5wpYLga4ezFroEPomt24+a/TNqA1jDbWWacFBAocNSHaL+J0ytYfZFXj3wNw+EcBEAcdvSkkpJVcCeqWZyqMapTDYQjtsnog2i8q9E8QrufCmfaYfuErTpTTwrac6W0a+AezlfAk5b4HooMBH4I7J38Va43DnGjUNxOLn7Bx4OYWpJwCWA4ZY7gL9epxTfB1P8iyrR4sJJ/soRd4LsBHUc1Jgp1kajxpUtyw6kTW9rUCEoyzYPpkMYE+u1heO8Km5tawkIDrFbPvLmV3o0/LStmztpBT8uRijvm24ssyRTk5GhxMNGVdtoKI1IM6ZdABQkJhWjvHRxWHRuzUObmXjhTx4nYnauzc2ZPxsFGwC3nPBhTDYozjPjMTtxfg8nTJbTeR5LtVgwOiutNM63xqsjASTAY1PcNldWe6XFX/6qPhi/86xxCSc4iC2lcQlnXni/Oj9aHVPA3YN4NKVPXK2U5RILEDC89i8B0qNZUYMmJCmaIOziQ6bZeYVAg14BgdylaIo+Au87MfLCYsYqKtQR4EJpZZXanjNc+gdT2+3dzOi/XtEEnL5ecq/e9jDggMniSgzGOAm+JJlFo+Ehlm9Pjt9/FU/QkqJYjymzzmDrdDvk+Kz9YnRYmR1ZPbo4M/kVe5DBb4C1hYEfgWEJUnNkEyAE+vmb0t6//751//v397cxLL1ue+er3tT/f9369GzhVqkuV0WaxE6VSaajoY4Ihqvf7yqJT73IxpmrhQEBbPCZfsNE9Rdypi0sL3Wtd8Sqcp1BQlUkX1V8IjU+SU47S7riM05zezX4CwCUfslGI81Ne3YpNOo+Mu3ur5ZJESAmNGZK3tyAy78UK4YNrOe3DBfpge+TsI8Key6r+Vi/VkU7pdTgzc20BL7O73/X++9ePv/H+cecT7swhyrdjxOs7mHpihPxBEHO6jqLuuFWuUxTHGAd/4SGWSET4fzr3Vs5EOieZvXWU+bg3NMnXSyHlvtLDXA6sCGTmyQaOXSlqc3Y6Yucn3pB+cUea7lmNf3EStj9zCfv0vRCYEvMETaOJuu6CYvwCSMfitHP6GktDdAfNGJg4m6fKzeN3fIehIIL8K/6faNWfyybje1JIGW7kp3JmFkmKaKUIbKqYEfhfCCWTds6fYZtm9DXK40xQg0riIqDDaF+aEpFUdWzdQz76bUIL9YMMDpEySGMzWaO51LyX5v4ijUezX9w4fggadTB9051pUfl7hXWOjUEttveoKL0y9HqER1lkEMQsX0mA3eVS8sNOokjCbDOoHir3DmLyNaDN6QhYdYoGs+sZpFU0OWPM1LVFH6JJ+FDNC/Cy7mjobnnYJfOuyopC7vD2Hk5jSVb5QvJ0FsoDWNBdd/r4Cyw7utiDiKJkUxOuILBMCrSQTPfldvwR88gGR3qI40BdvPxIaKbhU5tNqxHgEsAMR/nculqt+IkyV4LUSaL14CMfFTj0C+YK61i51FtWUrSHqnZDtXe4HzYqPz9AUptMQmqE9CGnP8UnPTVxBpNM1PZav4BBI8x7/FIF3Fxi81ZVpDJZqzRAMiGsAWt6YtZ9xWlnvyK1Bb36h7zXYE4Hke15TMOIORhh+SnJQg0DREUHfOilwREQIXdHMQ/vDIxiZQebhsgmU3UlbJ4bt0q9mQRJ12ZMvsghlNZg5hz1/gadgBUt0hdspHItG65kXWmcjg2Fz3OxJqJEYoi5Y8E6ed/de8hyLTMbMtgWEMOi9uPK5ukpSwk/wNzGOTOA+zXsgqZN6KKPYmrsBRwahCr8n5sFQpi5bQgXwNtlzTfeGfR7kPeMAi8ElAH3ZWcEcdts4KDH6CLYN3RyLuSFyDw4pV0YHukSb68gRkNj2qPq66iYwrdON1G3ecgoNK51NrBH3sKblDcoolOSfjdWC7N0Lz3uecYroI8xSWNI3Wf4IUEqzOOzzTO9mr9gmIGv9n+GAQYwg7M9ezHl7UKWR15Ps4C86uacPHtXOHE6tKKIBtBgUgTyp7V3YAZo4SYyr+K/orPrR36qx6G8WO3DK4HRLtjP3qElE3K1jzs2DbPflJQehbJ8++2xzusXQOMDSZUyQE3M16D608325TnHao7mUK3IQKiCr+kiWwiHPYPtLUusWA7DU4MbuHucn7e4Uo4bMnljCSPTP5pefBEoejrvq86sAzonajZRTVMv3PH5Mkqzai9Ob5iETM5Mp85hOIGCIarRSa8OkzFAFDISUo80FqYnKO/X5MxOIyj3YXB6jYDugQ57RmGLmSk0CEwh0sTVJt1Xno6DIG7RKU+7DgUUCoWMbxlSRLXm9ze+f72/vWz0x1EXeHk9NhofeuENv0i2B1xFmCngUnI3gKudJzNnsWYhOP76UqlU4XIVVOrcFbH3QFADQ3TAmxmOe0Bd3Bpi6yTw5lhK2hmleeKUhYIOqm2wTOLMNF/yuxPKBFyyIMDFa5IqbalcgK/ZnOy5gUZCTZN2K4F1P/HV9D2FoI6RCbn9RQr0tyqwXqc4IlR3JiEoYLtcn3/c7//96/33vt/Rb6AtH89Er5EsFRpJ9y2TpWOXhXYiYoQRJM4H/IpbPXAA57LI2ZnNNQmCiqjAs8N97K3+KTlcImuCpz9QyWp9vCZ0c0VegcklNwQGDUSw+yVZOkILRJRWsyWbtEVON4luA9dORNt1WhSQ+bwhTNLkLhj9PLGnNmbv8h4xJSOZ2XloXV7vvhwJfOS4OeLzAGbpNx64FNlYsdSTlynHxrDuAFHaSdp0SOx0eI5RxWU2NoMqZDYsRsbMYON0PjjtShSfQT7BLCyKmJigN/I+Zv24LyLG2YF646PCZyCNQRmZCBgNVTQsO/1wDQqBZ83oKVcTMSDHMUF10JCJHKeSK5PEffiJ8u8oxR9e4VFSKcpPYh5bo9dwGCIXa0RP6pOBao9kbvDs0tCGtuzAPcN8wjzLC0mY+IvrzPXHKwUQ0wfvzsb5gpLRyyPctjVRHtMJqokLfghapGc6Anc00/wyMHlxsGlULKvgrz9Trs7wLSXEVeJFh5lt4zx6A4CzZVINoBJLZ3pQQ/e8WAnmGoCjRGBwXDp5MIoiXKUwaIcPkQQRLTnTN9s6TJp2g7UjdXqqgj+hHKdbespJVrOPceE6SwuJtXzgCX9aYJ9njUw8HoJvI2E3ebt2ZqVxfFy28fqFgxfjjVOuRgAVy0vRrWNODSawanA4DdIslh+HKzoMN9IpA2gF3XW5NmQ2xixMfmOqnLkoJiWUkLFFuWWrDGSKg2fOwbheIFiu/Iyb7pEMDg9wlta0AtbPpNtQcdsBPOjkAA2IU2c8vAAPETYk2uVYOHEqj7hbRCJRIhvLwiSiX6cS+NIAgVsx+2kygV2H/znQ9ZtTzWHV7WspOYqRfA2hRNXcEmlfSRIuqXaxPG19fKETBVMcJnTVd1adHp2IAxAaetvzI9QR0PfRtxXmps9e2QmG45FBHPadCaD6SEyRPsvFYYx7sV8uatT0prLRMqwOuhk2YCoUbifo2Jamm6B6xChbsooxu2RqMvPA+oGaM9kOO/hVjvysQOPMyf14cpRYFQeIjbw1od3cOPAFbWAB5b5Q1EgVnWeMhINCWrDXIlY5PoN7A6ByQxM2PU4aZ7sXYMlCaVrVJvQ2dENiW0KnZy6nciqBFZVS09wjJOp6ZCwIvTaDh9x1wp4X6vFDSQJA555beaGvv77G/fnt41ebX9U9KLG+EZX+QQN6YUDODX5dM+i3/fKbzSkcvKqw+iQ1OOgwzGHTwwYkk/bI+/W/MsNQr+nBNBOn5ZtHbAk32LNBxosrEI1NSsTKFXsIjb7gD8NvTw3xVhUahL90DsZtJLyRZMPVdtMYzHpC8uWzuEixhZR9dIC7S66OmkYpZAUnSea0+icJlH2aGjhOJ8lUTOO5s5KOkE2AxvEM0YBf4szJBtBGuV4Kc83VQGRq1smMZ3KmzhmorHubdkqTBl16zfgActoWWbol/eM/vt5f/nHxx4++k3lsmVO7Bi2X3HUIjip5ZKmH1XDukNA7CrYQYaMNpfS91vVwWMEoLl4FcC7wtiC1Py/rJNRLRPu8yEmOvb4+TXoKhuZiGnmkzUP3Awh1UEbtlriKawBmaa4T6ArJucTxBPeOowWUMFNkUZEk+fClc16QxrIcqFQq9+XLen/219/x/e/3+9/u1w8r02JkHCvfXvT+obtB4OU6HvFFfIkWCm6ViqeoV0K4OO15QZgxcZl2jnFxFybSEWJEvb/J/cpJtxRXMMIBku7Du6Pyqj4xmNo4uzQMx8m3vhRkELWtnwvDxFB8SMvmYFxS8kMNdmQ9U14szUTSPDw4Bh6yITB9zqdNAd8Es0zHxiDxHyAFzzqohJDmW1YsJ+3SuQ+SeYQNCfK42UDlcsoGdpHxNiDwA5JIwyks0xIpy9DiZnlPOEWKSWWNlJ3OLraassVbTLOT2yDUc+SGtCA8FO80eEo5PACjQnJE6QsApZzZ3SE1QsLuN0tyAxqCcGjvKQey5CQCvg04Tl7+7BEOAqtYeZVwrywu+/xglm1CZedpO+qZQMlR2rIoqB3VVn63WlH0Uh+kMSUnbceSeaPLjNaiI7qM3brKNlSvmU0Hwgt6FXrQmHnjFkr0xSE/oyepvXM720YcG0bAtTTqcGCoQDTAmVclKJOW36BKd55CDFSO+cNJ9beBmaOyLW2IlHiS9QEocFC2IsMnGD2Y6CtteZVAvHb0NIgIe4qDGeicCFo51IvTVAmql+MkSw5n4P9Ai+Xa74eaSJzThRKmVaocC4dn41uRtK74NAploSQMrkeLJwJxH+ctquw/j9bNGCZocFTklN2uQFsGUYLJElNqmzghRCSJx9xKrLqfDJUffDRJ/KG4a/m/fA3Z6R/bATbxm2kxUMSpQUZComDdzpjlrpcQTPQAC75J7V3wYMcHA4BoKAWlnSDxinnFGbKgPD9JUVoWwSGz40SK62UGPCcpY7X5J4/Hf+ajzjU1uXeuxMFV7x2BA413aiuVzdMGXJU4BY6xv0ysJwE4ZGV/2MbKTdxO+oSnXUyqr9OKJdFtvums4FuEFdfHeFhEQiBs71nm2MbzVSj7N8YF902gUzL1oQn9fZNqB/QWHUcwtM0yhD1V7PQ4xM0C9LRYmJtZrzEVxq7ZNq+noHSCY5a/n7Wla/nUTXEWJoE8wiLrg2hLcsQmKcxCT/K0IkNzO//OeOg0xWXsi4uTCYpOWc5mccxD+jhPxhnEolThszMTcWE3QHpkb/LD7ESqxyzd49euvfRgY3rN531IFWlixfae9yVK2m8D+Wlnr/O8WQNMMrmnkLqtiXypVEnZptl1wY9P4wXPWwO/OD0mps99gfTH8agWjAY0fvc1PfyAx6c0827DOCf5gAR9Xhr7/HwXQiALPW5W0hwKbP5k4k/J9wvmqtEMbgFyyalOR0wFTtMe5MEgZSNY5sZpwZoadexA5JM2QAHtEavm5rDPQ8/tKIRqhis7IDbG2KBc0T7i7HkDg0kvfN8GpVYbPEg/mu0UevVyEo7s7JQZ7C2Benkm51FpUO4xoZd8yZ1DMmTEvl8SsOA2Rl04UjDPkTWMl753BLXA5mDAPkg4oor/4Z++/e/+7T+I/Ovf3v+P//LX/vu9JIVUcQ1HdZA0PxVPjqgulbt47mxolUk5tRXO3RA6Vc1bwAwbNW6O3ELNnZ7m52d/3YsuHtbUIAhjtD64n7lsjYktohO9MYTS0Tocv2lQZyGdYC8JLB3de0VNtDXx5NVEXwQBU2RTqIOyXqdUen2git8+RHim3zZzkzbmE9N6/5j396/Pv329v8/7954r3fGRp/WQWtk8kk0g4QCEzoDyGQA+qqE1fcgCX+S3pMmgPQ8O1UrApPB85w8+ocPIMg0nh3E42ecRHiAm853e3IriwVApF2Zk50xMfQbv+CrCkRoCVyEN2pZqbXjZakHqJp4Rz+0ODGaQQFB03PnRkmKn6id5nJRWZpR0x59yhhkxupogHwm6UMWC38xF+GjlFV/p04KgBcgzK/8UCQ0nMiYaqiizCsYmsmGP1ADgERDWIFI+5c+1awUvcNITG7SCp2Z52KNC2E653E7JfB1MxapwFBwoe5U3Y91KROsa+qbnpwsAkXNYXmRJXm+ygSGjqCAiGKZmQuwJz3GyamSuHA+pFAJXlOQn+BOMlKGMRny9do7UfbKGJBpr7l5lxYLvESE9O+QaAEsHGAwrjEgkXs/UGipmJsIUno7c5xvRB+W53R/3zGvA8ZuY8S+Jlg33YL6VK7Zw7kRkTHI65nik54SkyHcUlGRbLDZSz2LjSJ8YTc1NPgCP4xdMrt1WQkSgCW6Md7xrLyaUwsiATlM6+dpBwh/nYIp8ezUjCegMm5JM+mzaSawkN09nnn3BPz2v80gKsnfFckgrqZO1/y5juzrMFp/JN16SpJJJnioFVd0rZa3NiD9JD4zvBwhl+P8M4Ij8Eho2+lkDTUUFR7VvDJHrMVk15DB6qihf4jcxPPBB+XnEsBrr6CXIhynaUTpaB8yotAs8hKQfsCr+WhpGA8dOjmKhN60EjxZ0yatawXENWRFLAFlTIJWnm54O4U2vOTWeYVZSu4FGveQB+Qobb7eAG/nf1GardfnMy5LqE6dspkELDoqFecG9vob2cHAxopXZwJg9xyIoafUWittjzcAxrmou/Ro357B6hXozPGv3l9kxOLcZTmoKq4gKaT7Ba/PbEPi6G44p+u6hE71JZbuKdDAlMz1LLWOVSPnzZhI2u+itIUxWZ4yvnHSpXiL1Hdr7T2SF7q2DicwyfnRjgRDZnTPKQ59Bx17MGJ1Bxy4YsdWqu6IjW425qVVK9ooSoibKs/n8rMYsaHTm8dWqgFur4Mv0sODQPrWMo5LO2iNsTMIFqAjDD9KmMo/LH4cUUkw/cgpcUM7DsKg/lcqpSFVE8UQcmstvX54rVCd1QjSbKhr99MUYgzuXbLuJuuQHUOddmDuv4zr8/DBrBn4NjKO5ZzRscu4X9AW/yDNvty/VdT7g18wd1fEClR0AwmIlGchyPBpTkWaqh4A+eFEFf5G8aDszTZB7MmShXUgS74YDT5Nq3BiwckXiyse3Id6npFDrr7lZa5N4t6eMKEyrKkV52rtMUaeGOOqITnOEYDBuDd5ike/GqxJXm1O8ml2qpR+F8mH0tPFFa6yTDFAyCqmeqZI8cydMo4QEboB9k0qWJ1tu8GNFiuTk5blRNRDKoOkFY5LKdMdF8l998P/y7/7x//zvf+n353//7fxx5/P9968/rlQzDfWQ03MgpG3+QbQHQzSuqK8ZiJWA7vRj2C/bbjTo4TU9bo8vrky+eTnNO3jfzdx5JzZ/zLhux3PR8xj/N/GYLM7bihH1KUIYRlu0Ipja94PYnkoSD/4NEEzBd1S3o/541TfhfOj1gZI/vqmolLm8zb4Ysz99f/fXv3z+/h3v7+/7+8WbvS7/MYG++YyA2Ae6piQPcIZiySiAM0WSw/E3vgQUXSSpCCY45EkUBCu5YmEUk7a8IzifqpC9k3LwTjQoSOPOEozQahxWgDt7ImfWJWKHWgwbLnHa0cCHVMoy4xmPIqOPmyvxUNGOMaaizZUcTxCZx182C+vLlZtZPVMcoMaoZHg8t0Bgx0OgFE05WVvDDSTGOWdwHsbIgb0Bv/kfj+QegOHijufaiTPSjPzIIpK+GfoBO29scnpUMpRaVRCe2M6U5NGVrMyN2tzIVeZ4EbA5FFHQMHM1FeCCUVNm9EY/NawRTjT3uwlAa+41k2iHfFXc6dmMaiirXz6YXAxYjQkYfGU5k3TUPJeaAv6V2Euhg8nc50apzc6Za9O0hVjYFGRgW6SyPGWUdGf+todX6cdZKVqWpT5gNN6ks5MK9EH5mFG+SEV/o7tsvO+82t1+Q99goKbHmA+wu9c4LXT2D9a8oHf0/hxfJNNtXG2rYCeIPcyI23V8MN0AzaiW7OwtrtGQmyg9mupYzJLzMjxUEa+ligVNOaRez/BDGLV4DEWU1sYZMFmXmykR7Hs5lLImu9jje448aal+hEqHp7QPZOCemaYW75itNGIb6cFtph2476jYaVPOn706ohBq5qytFBgOqKSpb+/dn04VdmL9E9PFjdmMdTHtNMvD1s+8vshvgxfBzONQkQYBkRDlwY/cW1xolIpj96PUwHiOHrfK7p/PkYAV6T1gbeQSrKpxBBCRHQloTJkQ72I2OTBIz6UJBaQzAD2tDwyzFOAxVIdULhpQwlUFtxLV87IvNjqswHkNIwx0KcU0H4e3PfRr1Jye4oEDWph3JrnD5gpsciRGsTlR1Xyt+ydKFqfAc+gUpLB5cTmKDiCffyja5DOnVMRLQQqR3hf3xjH7XvMF1gmqt/AQCaR/IutIED+kTELhb3pinE6LQ1Q7IDyNRFNocu4WMes/KgG8eTyBaRr36NjNZkJt4WiXgDFLBc7cVR/m2mMloXubRfLJoGVCws/rMC6zDOqTbSgtNauwwAMuLemeLWAkjScJquGYcQKoMZT1xCwCJ9NUDx+3iw9sTuVwRtjgfSWju0hiuQXXiM+YCRtUzQ5gxxv9wDsuCpDLr/iSAPBgOhSFOSNs9DwwLVVeOFWNJ0lzW3DT1fCMp3EEyfo4wO1TVWh1nTTZ3LEGBdT1bKf5e+pVLt8Cv80kzSO3ZrWZ2w+T1JchODgR00ajNwQsdLNSvFj1Ad+KMJp+s4QNZmZS4UN+B6acIjqwA2bCE0fgfUdx5MWad2buHCpSrIdx8ZTYFyCqjDFVzkMylGN0HkNiPK0Ppwm4k2Ryb8culVS+0kO5sycQ3zGBmxE+igWD7g5yGp54rCjhJmRi9AuntElowhyGdzKkl98TYemMR5Xw0kxAtMGha/CeyIDxvhTuSJ/trvnLSy5++3j98797/cvfP/74vN3vHEbzqjrC5pFqb8a8e3w3jizD/e5DvkH0iIK7B9MTbqTfaKCnMVbRCHXNr47nwD1fJmKRnZlp3evutXX1GV7ARgFfCw1gZX4XD2qzCl7OGBQFzSFu+HruqNLP68ahzqnSq8+Lrxd/qReKp+bDFbf2baGl7/j++/vzrz/+9i/364+er/Id2xn/47KU7dfJ8AVxOGckQG/WSwJq534WjiIwFuWRqkS9cLgqv2jdfRPuE/kKsOILpH7HXqCeEtquDVraqZjEJFwL4oSjmk2djYAlsQvo+FpWI4udgBfyHy96F+uONvS9WF51pk3JfSK6G8CO3D2oYhSPAUv2P0mKALa5x0qV4lgUkqASjhXTZ4G7qISeFjIb2DifzJLefTkzkbMVZZvBqvpz+NvRPA8hDnLXY80uth+BMgHWYTDjAwPF8lFFbN97DFcC+3O+DhDT4R7REde6KQyENWLOsg+LsHnUG+iGxPUPIE4spouaOeIoU2KkrSIeCwWeYT810Tag2TF/aOLYRpY5FHRBRQ4YOD9qZVpGP3sFgGEt2PjMOtGdTol34giGg5hNRpH9WjbmKbhg/rEQR5sytIRUcB5sUjwf0uSKmtb+lvmcArKzOP72Uh+TmHbHTzoay5geBg+LKeBG8Y3ht5yBTpptiAoY6Hx/K/7VStGTEkEMjnOuyu4pKsj2QAVYAr7N631G6ZsVYFSt5ItkzakauMmyfIjGyXeWkKFDIJ7ulCcxBcoNnsFNdjagQtoxJgjUFDEV73821cjeHpO5MaVnhE3LAYFUiCQ8wKOaAeHOyKfzpG7tTo0cHsyq6LgKa6tsIq9zSCqAHkHtHpEpPd6XqPZq966QEaFgVa5EKQcx/qxiJVCw0okbjT4JY1qBsMzH5Nhp+RmvwiOMjCosZIAxD1GUa88MBW8r2C5XZARAzSFnoEOMjZnEiQxZAZboNnABmHFmjiNYCu4DS6goS8LvPOJAIF0KOk5oRhusVrYhDw4qLj/g6Ax9ZN/S1HDq2HPRdTh33uBNpwxIzGt9dRMt43plGyZK4tum59B3pIq9GMSqwp1oLjepmcVMpm85CocZm64IEC3Hc1I2it01ANOFbkwlkDjXx4JCgUUvlCjfBLuNuA00Dv03wNxgFnF5JcS4iu3+2UVCksx7FIZY2rLC/OI5Qbuvo5mDHZjW8a1hQHQO45JgtpsWdw5fdWldYwDDcMFMQC1yds6fkgwu1zv5I53o3qhY//zuMaOveMOXWg0Hu6pA8kSk7PzJSwvmZ8hDHI4+O3k0zUSu7BVyhkvcAM2gwM0ltjSkZTmxELpoOPH3pobzeAssGnL3sywnunKzpnVDRLUL7CuiUu7OzgWoSJLKDR2LxCdaZb+pM++qM3YTzfolCzkZmN5dOLeaJ05oqkKh4NFiC++xWfPBGr81dlp7p7Z12nOQDpX26CkBeOp30iOzYl0IBU4JnNnOr/ryYQ2RcblNe2xUNNirBy71rA4hRZpZq8UZpogcoDXCGVxFLSA1gNtUvQirp4mUqsW30uDgxMv5mLaFaQFxvYR0i0KWhPnBQX3kOnUNMKrz9pSLckk9rAELAjO1mCf93U0fyMN3cgbH5+3n89KPH/iv/+3Hv/zrj3//7Yjzj99e0uWLAm/3QLgoz9Hhh18VOSWonAevaBl6SOFrVpDbBqIUhfrta9wwA0MMW4HrpDcSzct3+VbrstnAzPSdeXvGLm45DGkU1PgwmvP2JAaiP2zLPenR9GbpAclq9JxJnxZ0z8gmrkusU6dwXq6PX3Reh4Nct62vBv3+equ/3l9/9Pd/ud9/v19/7/cPYORaGjRYsyX81LsT1SrkgnIaCLaTMmS6URjVqwZVMChCm266S7ClEsSMQISC4Iex3tEylzKm3TG7AmY7YRTABGxfzaKig01CCjHOAx8rQTiBktkVpd2MmXSMcScb6qFBiZ7oOBGJK+cBVkigpXsnx/w6b4NEQWvADd3PDWlC7cLyKB4jOG4wupGCxxVZusPeOFOIngFloi3YaN7ocdfs5OUvgrz8OUvH72owJsiAPAuYuFQE+pDndUpPliwreOXGRgzHvVMYvIyAiVVLYy5BKLYcrCskg27Wlgzaas4K1SMR0vo7dr7z4m+CBCfoLTkMW4w0a+TaQXnhfyf1LXAXH0EXGi57cRfWGjoMjFsxrIboJnizTTNeiXy4wEO2RyqiLWZDsprxfPj56yLy8ijry06WiOwsgHNWWxmupKsVWCmEydqozeMRwLRhnTzTpY/qa+Cw2556lW4D7SEGfSgbTc3Oc1juA4kgALE6ExFeec/pvWWHqOt7WOxJMDs1ChLfze2DbbbLOiBSADeTz2yT7i2Uke3VOETHSLR6SSFIeYT2Ga1XHH32U3q81OEHGy4DtbD86taUS4SEkvbv2MWAJ8Mq1QnxCJmeQW9Uq7NfOxJ+cDNMBaEm8HPUdivrD0ue0YOr5I10icSQcuo0tW1/P/UgefMCC4S42p3OXmwma2ayj5wOMnBRp3Jm9SdUYVP4/IR82EwP3MawBkikHDIh/cDIiWlA/tP3DD2UV5LXllLE/qtjuJ1TZg9fpfY9BhY953q0GpHLaZccZXd7bXLrGJnlKijAtXTH5oj2C3SR01v0XWC7DomgSNYMNWy+eyLqpBG6Vo1hiUAPkHAhcmbeYwJjphot+DQ4xMsY6CSEMJtwNOk5bRLNOCzKdq1GeQUK2cvK5rHxTkQtr0L/57WuCXY0vlAlCDlB/IXO57CvSHRbqdNTiRERt0pZLPJ0xm7EFbVUKFs6yd6SwHVj0cCcRhMaZJQjjM6qmBOsQgyrsAr9P4FS7V1BiI27pxgjwN45b3wt2l1nZqhaPwIAouWwz1LSB+IpYAA8WlBSY2iaf67YQgwJASstF5RCQYKr6Yq200h4JDqi8ahXzZ+N7ekNhL0SF5/sdLhexVaiqaix3ZNcScJxNHDTO6ZbRV7al7xN45aK79Ub5JjZ4ns7VBs5b+o1t0HNfZuH9wMfF/7W9e1F8XXkuqKEN8ExpR29qiBzyeXXgTkzdwTDdp/xd0LAlRvUsFP5CAX5JmwfMp5o8I2g6V7hyttWfOo68OghvscsoIvoxAUTGrZVsIjiHmkPwQ0D0HXs1U1zdFeoDLDFE8Svb1VKdSvXZ4QODJpEA8dkZIQNBMMC3uMTTjUnoHCJlxt5fSPauBMMcwy+B8VeYdiAuc69u1D321PbOmbYXxY4F5zr7/Q///WPv//49V+dj7Hfxrv98vlx505oDHks9mtsbxoFb1+Wbs7M8GCaSa5zozEBgt/z2Xi/0W9ctPhRGPlMxwI+sKf9fqMN2j9mfG2wL2/PGPNeAQPYK48JpVt7wTvzYGWa8MDUSJKZNT2OEPSg0DNHwjd8iHVY53xU8VzRMmes9vvWfN73j/v5u+/v/eP3ef/eX1+N3jihmeGsziN3C73rxqZ/wBTUEn3E4PHFU3YJp3CiOd7JDlUsbnhUajfFIiiyeWnl2gvCx2jWvfNMcBgsitw/QVxazfyHiumMz7DIDOfegy98sFV0hQjTelwzfNJrNbeJyk6SuzpZu5n4El01b24zUW7S/F2h+wFqDCU5ZSEa7MgZmmJbfeNFnZNM43nwzMB8TpxjyBCDibzwTy0TWmu6wZKrXnNDiN/xGbB2ym7PIxf2CohmzmHV0SIWyFmJjVTgDJ/ferBbTWp8lp2ZjGAp/og9DUAMhN6KpARGrFTWz2G68orndkfomT81EMssZAbmuuwDddtEZc6NLV6YiPcCsYWG6TKd3NEGiE42/NYCz5LMqQN32cAOadjvLID/fraZJQQ17DyhNuwwgLE3eNcTCT8TRCV442kjtloQRMIs3VO5kpTtc8yqkcubuD3zTof1G6QhdvbLPGCzF7Y12awry3rEYK7BjZhRkh+T4mr8DbWGc1YBpyjUcBeMoRLJAzK5rc16hSnhxnDA7Pyz+aQEhL8PvUdCqLtTbESvof+jDjAT373SYa94xP6ohRLGzgmx/3ywUGNWGmYUZcyQiJcV6Y3l0nx5Eo/1BtJRaKHZASk5cBYp0EMH3x978/DJoDn0gqSMlzfjz9Yr+ii47ooSoxvK91OZ92RegCy60QfHmDpwloG907my7sz7EYTEUxm3V8R2nmQikuycijN/vlF0U0XCg7lGTRCFABl202z3REMvTyMFz4AnLtWtojJivyTHsW5UvMbh67b0qEjn88q+E3/USuoS5Q06WdozE0h1sMXeROJPIjVKRQM5nloZBavdBK43MzDKt1x9JzgAABfQTofPG6q8bXuS7QaecLqoD4HqmtyUwbeEsPkb0GaqCrPuWZj4St+AwEaZN3kmmM1xgjckzRegWaNpl9A3Z788UhZN5DjJW0y4HT9rXEx+uNw8GJPdYnHwCgybh3TEmWHJk5bFhG029xunIbADN+BuYmQAMwjzhAI+4wRjb8glKOFOecNgGqZU+dzbfF7GXcDXP8rketlrrGbIhFwXXh9H5GRV2lV3jJiIK00DSzp5/IKuk5SAaOeMKSPvoTFu8CbRizYOMZ5p1Dqf0dFtpa2PPIWLwbWZvxLIJGn3+v2eiYLgvCMNYxxPGr5r5Gr7qHX5ZGsArSq8zaP50f1FffDj412/1vzWv6BIjwAOeYp2D0ryyEKpemGCKb7SoiF+WV+Ne5dwUWe1owqejuwH1O2pJKjFm5h3sAHNLqWTxWmmlH1jBX1pylyYhnzJnpIsSxm3TKKnwFF7SuMbXiBIB+YiRBfsqggmV2IJ4TQnLIyNCZjXltqWx7pzZyqqxzeHicEezWvWWGcbuII6nKN9AMxF1RC8lypLk9DBiK2TMOcZBNbdYeeii2lf+/1r/re/ff720hj/8sf78933EzPEYC4ug4HoFysk4N3ztJNzM07Z1RC6WTvvgJr3uxvv1tedH++Eot8THZ1s1HS/G8Bs+oITG8rpuW02oplbfk26HYihpMyRM6/C25mYhLFVp1WZoF6S3z0FTMOjzaopf3yc89IR61UFWlIczm/1F74+7+df58fff/z9v/P+eOOSTaSxQB537VBTBdsTaIjUWewW5Knxx4GN46A1PLaEIquTH6KTXD/Ftl3AqCRo61SMnlG6HpxsqmdcjH5/uCGjzgiLzjEhupO+mHSR2XqqZ2SOoThK9/2EsRiGJeRuycKwVdwboOYJkM3AHRFozOLi8PQqLqNm3xMuQETWtMecFWVQpKNRS3LPFyehzQZ1YnqLN/WB2xFR1Kz43wxvMs5D8ozbQeQCR+3YGuCjFIXADrwOMpBZYaGaDIKRXDQeFG7VkXoYUTqvGFaXxJXBtKnkvOV3YSectjI1PbeKV9+AXY7QdnarUHwbBR61965tAavDInFjT9bJEfFRpj2N28G1ZmXY3LIuzlBrX00zZfiTZ8bPx7i0VVqsHy+FYwAIFWdgjG2U6ZAjimJ28pQZWvp8D+Zgij7I7/UzpXrvFgOMXtugpluH4xuVLDzTQeI30kiVgKwCpwZ2LFjkXtd5p72+jqQok+GAgCkQFcV0PDPrz8PPrDrA6AlLih5ipV9xD644zk2pPSdKiRh0o/diwJCs3sWMHMhtM5Yr3LLT0PEsoA8PUHUSk5QJMwF8zvOw/l8Y0GwuT3Ll9iubJAySJk6UFnC+LywjNco0H1R/OKuBJtnNtIhdTEZQmD3NOhEt9KAegYQ2dGWeOjJYw2jSOjN8kOVeGYRIVsv0Vp1G+l/xSiSjIZmtacbEuhusYLMIlxuIPcvO/IzPIL1pj2yORiB2TZ7ux0kFXDgzpOH328Wm3W/zmJ5pmJgdoHez3fQF0OIpTho4kbTA8B8pVlhmGK7Qz2EoVU73pyxHhjTK1pbAflaV6flaFgj2YXrJvFsDUOJQH02Tt++3casuJw0EHZOrafuCKLeZXOIsLIQgmq583VFQY+VWhOyZQWqg09YFiU8KEVB8zxEGrEuwRq5JysHRO6CTL3g0BtuUT7tl1hMkRBLjAw1FMgFFQSwoqpNkCluKdnWnZe9eEx1JwmLMiGoqm/JFn0fRNEPN9KmIw5bB3hRl2gfE1hGUezL3cwsvlkheJnW91y7X3Gz+mKE7DI+xjjxiuJ77FC2Ag35B3mN2v9i1rwnPYrsvglj0qDAiJ7JqYybxPkk5agD2SxrO3ABMQyNuMmxOBBIXZSJ5TpXKBEWDm7S9io19sOjU4piLtFWPwZLu/sCbKh3AazOgmlcjomG3hff4jISvL8Ssra9LFT/HHzxvjDAft/4Yfuf8po/z8i+HJavfol48+XqyaRU2pwMewoUuwvWi9dk/+PZ7t2pERPtk1xHAyExbGCpiAxpMelUCA8LWqwwcXd/CAaNNMJppuwrkoMIU6hG1Bo0bs4jZOnpsLSNGpyy5kJ7eKBDJEOwO4EpQWFLtEAC/7mXz/V7xLuV5o5QmMQ/NJs4qd5NwQ2CwiBlqFwqX0d254aXVVdCeLhwDoymysVlinKHL7j+u//rd/+Vvn67z17/d93vePLc7/LChHgww3+/XJ6pUZ6KRThNwroCMl32zOHv6Den92e/u7z/u2+42yKKEQbHfF1CPe8KxDhM2PpiZGcxYk+C3GZeJg761oMwLmOK9SzUK4DlH1AEPy7geNAt0h+5tfGlm5tcN+tRBHdewQdyans+/39//1p9///r6a3+94bc0r51Hg1k+sb/MFUrsBs7VshWpcYIpOHiJGW4KlHBGPIq7I3Vmg3mlTUE8yp0W7cWqQhb5RkT7Gfu5MYRYsnszjHcI6Vwtk+j2cCYrC8banmZ+ZgckxAOKqaPgHuyf5NCsw7en1A6HGTyPM53Bokjc69mUqHBMMhDPro2N/dGyBHFt4ycEFwA+uV6jpJZFiXj2rcqcDxMoMT9gMBFHKTN4hvjM+1HPZBXLqh/Ia/H8IGRaJmSdtSkcc3Ti+7928Uy3SpHsY+B967wtu1l4+HCwmUuwdM16EeZJ+P/JsuPRuATrRROHHpbLyl3N1XPSkW7vxhYSz1vtpLx2YCQLygkanfbsGpS/KZFFEwjTkeXk8M8uJqcNJnriZ07MjrTekUWwnedjVVPP4hiUk0vNEFCQqzbqIZ7mea6z7eRzJz1/VsGH3PPdKLhUZjuPHGCr2XxnuF0h1gzm+drsvVqZBSvOOeNn3nKt1EYrNcn/Gc/2COg8Wkt6hMdZpNgJdtQT7cgoz8Tjil2VIvzk96AGAMMupMM2Y++A1d2FKRIUcL0KcipBkxXqf6gaGkhSBp7Co0fkj3EB6CcMLg5Fg6m6dvaDHBNRusxsIC6GybTKY5jI3omQhjN3uSgbncRzIYgznVeyMlJu0eNK+xBXpij2LFUreMUb0Q4FSd9R3MSKeAZzfsrEKuUOeFQVy75nb8n2T449BaQPEmVszGGkHAt+Xc/x4ptL2AVkSgIiwnH1toX4Bj5J12omO9FwrZ3fWKPqg9o4KncnG3XKQqb+4A9hD6PZxOKEeYpE9KytuapvgwB4DsH77pPEC+wLzxxl2Fk3SUqvmdFEZ+bWWOobajhSI93tGwDAF4/tGg4IpcpszSttQmvhR8mNZpOIPdfwNJRlb4o9M8Yp2V0PttTOcYirowT4+wXemY8jA3jntAhRdYKTeVlqsaeL7JjpPcTZSTsenOxYWv/JNB1bQZJ6glQ9INaUHjtGTerfDVs+uW8loJf/mJvrFoAxq43ffLXlYFM+4GqJRHPDERqUnx2L9oR1e3IWuK0appB6sP0xE7ZHEaqz0aQuHQCa49dNtqFj/u3wkqFcEmKZ0Nwh4qLYOwxJcsuqlB8hUAGsVSHV6eAetJXXugExrRVLrkVFk7RjplWO9LCJwoMprASsRXSPnyYje3T5VSbJTrBozbXO9Q934XS9v4Tv5h/94/h8Gx5//Pp6/ar6MD7QZ1zl12VrXqhAO0i9damvyP4AyVMfP06/3+6v7sXfsNrfWb+9PVIm6IGF6fmomp8lzclW1Vf3EczRZDPQZOMCyCGp4uuoNDvUX6o4X73GF9rD0LdoLvBnfKhOkcXXsfe9ZcLLEaaJOGEGpz18t58FD/PlIu41iMz9a3TPv7vN5wkwMGm8zVrTOUDPnNfhvGGNJipR01G/RquWaSZPz0Cf7/u//vMfxjf0/ef//v3HG+8ZN7oDL8MNHXwB7+4zULfeVYI0R+x+dwRLe9CxGl8zbdzPeVvdaAT4Ol+YSSn31bhBh54jcguusdAAq54hUSDYzk0Lz2gdOcoR96pzUK8A6AaaoFLRGezt3fca74aBL+KFKarK4687/pr39/nx1/n+t8/3H/3+sr+iVY/mFeAweRGPuOM52fEiyZdgVoIhKUFkrUgAsjSSfITK6yTSJbokssRE55U2MGfi6t8qnGBdTbanQntmGTURzl+Z0x1eeV/HzfVijP0r5f3JAQSVCGmMBD3mN3wW3J2KZkyjomSIkmpRovAIGM9knu7IYsGocDNKesN/dtRdCG6DtTYJsNgzIm/+o9joRA9OifdPbQiMGddu+d4wJD33OmbPVz5ltEYcVysyifbCY1aaeTWwUzya4DVmfJ65kMsDvPwq/twtVPRstDFWa7X+T64ka/Y7Q4dTzgRIc9PLsmyMtctS5sWoFwSkGGc/KvnnzRFCyKafMsDVIuJnsI5i7sOYo8yC4aaejgHT4oY4GU8YJzZOfCNJNWuoFhxzeaZ3YemJyMLt9GrEdmG47CbiFM3zs/BteKTJLKolZ5AnEWEquS03w5XizOQneB5iYyLy8Q3cMZ4e2HeaYSeHPlkX8OxFgXMIUAvnbOAptwQ7l/EOa1FxbH5v9uPHh8pMTJVHOl+7XcT9KdV1yBxsMWJmZIEzLDzzhO2xUsqzniGArJMKMzLv2hIt1gFb1qy8fjAlgvGSL9WHgOYZFRFfhjclNHv+ogSZG/LTD+JfVV5kKF3TMIzb48LJam1M/rskRu9uh2BgjwphRYiC4LUhACjtJ51VHwRidg6X1unQVLT7j6spwf75z8KMbXeJGIY5b1fCEJC6CGwrkwdUT3typlxOkTP3IRC9RoMIsMnpAGRbBeQCZ3o1a6ToBKflC9eOa6PiU3SnvRRE4RQITVblDyk+SsQvKzCULMhUh5N16N3Q8frQjGcHzHrZI2/YsyqTbZi6xtUHayRj0m8x6PE3aMa3ZiD3lPeSx4yR5LU5JRsnr2b07lLKfLIEqjR20hGiwppJ3C/Hz8ARCCpA3UaieUzl0A929O4X4dFhSuTFzbDsuFZpVNX8rP5cDR+DuyfPrC5Q1I0AOWmr3Y2pEltNhXNLmy6NmbKsYbtQNz0gfQTbDTZGB5P1DxHdmKwdhPIRC0S6iD1k7QfXLT38TmJ22IvcZ6d7XvBS5byiUKanSvUok6IxYmb3WvHJ1gFHue5THrBqA+mPYLhnUF73WRnwZPLjKd6LG8LN/QBgzAhk/gxsVdCRMml2ZC0pz8qZ4BzIg70WirnJI6XPJrEs9/QUAmk/NWZuvuUzuNwXKbLHaOB8m4Ktm5jvHr7VUv/t9sH3+jrfXh+/4eO3+vbr+fgt+cwOxHKEosnDfkuy36rX0TnVr8P3x/xBzCQTIiJnh0/PyXeb9C3TfI903lFt0xkdziYMDiyZ3GqJogGzOPS3o48X61VVolxVHl/PJzSfHnlmEOFf7P7RtEKvwrcjyZWQQFYyzHns9hO7wmnfcTenH5GH25gecbpKvsUyFWWskKJ5NDKWrP8nGw1U1ZGndQs1RV7rCInGJbKn6IRMPYMvWVb17X/+649+D8DfP9+/f29ff5nGlYwZC27nzXivR3MCiyDVkB0Vb8swW66Z+fKZ8bz7AisLmksr2S+btjfwBINE4KmEcHFimYvSAnD0XJi+psq8R3R/+PBjXoc8RMmRdJpsifikxzNfRnvejS+aNOf9mpd93/iamYv37+8ff72ff6B/2CTeQOeE66j4YNAaz+HZNWsI4lDI3kKf3fZ9oPNc0GUIVKGkmGUAkjq08hszDqYQKjv07WMcwJij4cBZP4N/LUCt6EFm9r/AKilnEdoi3ZDCCufyDZq0epqsKY9OJsIbO4eaNwJtAycJzCIn/im+3SODfbFDaFDVvImZ8RL2nit2mONx03LyowzC0GWsXGXDNUX+x//475b6CKSL3M8/RTToWFoDzcdi9Yxy0eUa1mwuZGU7yjGvqjhndyX6iTVm5RqZIl91zquOoDorqAH2OKTTAEa7YScUD/Au4hG+O+Jcgtjci+eQjo32ma6R0KkNN8LDZi55Em1sMYXn4v9gHFvxOu0NAVXPPMZsItN1hk3aTLMBQymTburpOcjuVmJz1/ASHLVGnAAr+EvW08qhxk8gZICFx02wZFS06NxVJFBEnlSG3cYCxR3tS5Q6eQ5WXIUkn4APwpBtZsz2zfa5zCmXjczWnrjxCFGycUU+soQ5MHl+sLPmbBwSAa5/3gqGH02YlNb1KYBr8ulCrvoMEPvWDpjAoMgP8mwVEWtisZpDD7Z9AxH0I5/0Om6UrzofnkrT4e7x0Ete32HAk7Gmmr2iKs4aPnN64clGnIQx7e4oDZ8c+4gr1vMYtxkWW6PNeDHMgN6DARHzHFPws4bg/B0LXAZkzPOaXVGqCSCeFl+vETvf79rF83FzVWJ2SDB7opX2XuDJt5ysS2uATHZp52O1RE+64RiduwnB7E3CzGGUw2e30ih+yUXd85CvdoxwDyvrFLeHPTO+xHEf14Yge6BaEmCDN6XkOMPGK+r9fBfR70uayb/Y02SKg+zM4S5l2UM8MbF170e+8jwT4y+skMDDL7e9/rxkJ/9k/ZyUkZ48gxOKKIPR0LrAk4FpdJ4Js+xehMK5D4Jp7gMJMmwPrU6yK3tR2X32Qpsv94DwgjNgeMIoXfIHL/T4+LfF6N3xaLYZzZ7jDWJHBBF0g+mdeZbKzaEarNdodlPPmLxeecHuGg03HoV4SJLYyM0rYPqc10yf4jrwB0ozHkRSQi0KeCQflAIgoOox9hhT0GoAIgJMT4w6ZItzVQwd16+d2umMXu0MXLTR7Tto+Ia0BPKPhGujbB2ony7bm89gVYHhauy3poBhPl5v7Aa9CQ2jJ8LDcMz6ZNsVOkwJki2x9Sfatl75HOac8hkOOKw4vo7APm9EHnZGH/Xbr+fbvz6//OXUX3BePMU64OHWrE0AKsWw82615+vz3vbt+fqy7xhJhGv7YNwJtvAy1wRZIKbLQr1SH17DqIKtPrcgAFV1yuf49aqPb1ClWnxfoPfM1w/f9/y4nutZ92A+KQk4v9Qvxd9+qzoEOe4iMfXO+4VMYxHMuLtHwoVncu52EgzsA1fp9YpgZb2tCBgkGa7U04AkBZJdKGzKR7Tp272W0CtvOAuAZXVmykZj0Oum/Ly67/tOf+o0UT1vB8Y4Q7OKnZiwMSwZX+jp9a2aTbhtNtvsjjgiam9F2N7m3InFKkm2NQBcJ4qKg5y0uY6WAQuyNTOxY3PbOlp1SsIUfIO8zYxg96e/vub92f39ziW/GMRFxY9vqmLx9Of8+P1+/v7F7+mpQrc5wWrbcXW3guBmtqwh2SYF0Q2cooc84MtzcF6iQsFZlfCAQxlHDuift+sY+qBI5UYJi49QOOZhdHneCyietFW1cwdqP3R/5gDkVOfKA6y1U2rDPTIbTN59LmNm05O9CRsozp7MEQ1U347lDpNHPVh34hPG7Qtgpt1zN7t4epFAtB8PrqWN43v4qCwtRMjS6CTYlfQySxz+x//077mswgZNw5wE9UaWtW0gMOJZnP3DHnPEAqH7F0UOogKrVMTb/TipjRwSAx1N1DCoV6GEo3q9VKIPhdduN4lpjEAmtoog+UsTrdggc/quUNx4ta0sW9yJ2qk5hoL46O+GRwFPEhCt7HPPAhLIGivCyeizwua9vta4vD4HYHXLwGSrwvNP8zE4PTotVjICsWgyk7pJ+OFchB3rEINgqAi0kFkVcYRhkmqyq6Gf1QzhqBsN8gw7tbesSvchn49xVlJI+iGYDIybKZJdJwCaI559Ip5uIC65I0ShlgClTEi7zfzMdPu5dWS+a4w20z36DwijepktUENwpiAXyVPunp/7XCfFc9t797PS86k7a+QOmaQTH23ykDYdbzh6In3fJJsAcpkL+ERrPT50PGYUykHaM6COvexHdu08h1jnDg4BV/DF3JHr8A3RbNbKH4VStABTq8fS7k1trg4OBWBm8jhkjtkYY5BrYQqkEu0VsUtshBrgySC/2ys6QXsmHh2384dixhhZF0YkCh0yR5zJb+pNhY4UL0xk/s5oW7xvJLSdgvmBS1oFBBmrPbEZpjvwc/1HrKrh8OfeiA1aJsJ6cRm+yae/+rhoTHL65VXKe/Z8BSaSMZC2Fht2J2Y6D7Zdjo4XUTCigJugNfPCGxgGNBZ/CbXmTM3Wez4xpzHxjdu0expTUIelM0m0U1LUgPObTo+03/CMjzdkIqmmXqGZcmpZFWlwLX4cam3xqajcM6esCiA59eHDcmsQpS1+WgHLajX3uwhwmD/2GmVP8aclnYhsjJ164wUcjUD/tEZxHW1+gkMv6uRadEmjgRup3y4xHI1GlMCRXwbC3VsvUeJLlHCS6VFRA1UIYkbV061nofNq5HLyUt53fAn4iPyJ6Tt5a69vnib3pe5geqb9pu8EO8WztW9fMWpIs87VaOLBn66Epc+N54xo1ERlnCQCYn/mJaEjxwHH79izgf24TVAa3/q5Tu1MuuiNT/CK0tyYqGKDfLWZ77SDoX/7OB//Cr/80+uXf/V6/VKnXMcl+FXhil6uvIFzY4iY98Vb87643+frPlZSku37ztjzs18CEkc4ldhrrbKskOzcSE1ZPAen+PHi6xvOR1EXTZBHusAd/PHj9qe/3hZwBzfnrZTcst9e0Eu/vc6vvyXSoGm+r3vWy+27Ak14xe7AdvKsJ6yYh+oI54hl6emEUsAIJr9ctGqI0s4I4M9UWtusk4oI2MMSP6pQ40EP3V8DvS+o6n67+P7ijx/wqwmzi43LEd0uNVYw6AO4OWjD8rgHl+t70Qyk9hh4+26iOQhimogC2Rs7MI2f7lTYVYmYp7zdjsbMqGqQdLlVdpFdlFXmVKLfxugem75zx/cT70+/f8zn5xtv480DzBdMi+f1Yt/m6P7Q+8dbX48Wumfc40rfykTEE1aYLnfr8Jm8ymDsHsMqHfLV/EjTBiWVpmmdInRfEydUArtH1LeqBlAqgILbFkVoOPnd7XNwJ1dnLES9vaBXLG/Q5xiH0wgIt4EJZPfw4KdqdmUzganHCFQzAcCk9METmnDX6YyDWz2TiWbadyffgDVenNEYjNOIFkAn+GHuHS8ZvU8tHxlSnonklPoZENZOFY6c/E//6d9jbDZ52oiaHnBjobX8u08+KvY4jafs5ww8EZM8cHWCVsF5IkoexUvK9hDJA6wk4FfVIX75VsWaAyWO8qf7MVrf4mDKFRk3UJg7ka5sZP7aUBW/tAKcR7SUsRhROhOU2M4IEZjy+bD2f1lBxU/Ym9SdNlGRIHH1DiFVdtLwLkBM9MyOK6UHJwO1YiXgAQlWXZ2jk0DpmZn3mwsEF5l9UDoZRoJH9qN5CAauvopEHDvcLTlkx5hSHLr24AFWvYBZft38AvB0Hrvk0bYJp0cBe10BZXYVH1zMcYoReVZ3rK3xJDuE3LnNNC3xeiI9I5gcD6oYRGk49MSjWZsJFDrHYFWeOIwlezJPQbGhkk/c0LJDQS1LTqDPXp2WoyZeUyyh6F82k+lZpZiopyhEM3Z5bfArXGrlV9Oi5khn1dxZ57a8CU8JaPfe/pA0mSQFNten6Z+vM1DwZelnEpWZjrvNBmqjCgcZgp0imYj0J5Dqs1PO8vbeb8rPKZBHajx+Mmo9HtsNaYb25VTP5Cuc2W/PUQQY7kJ1Zkm4/KeVgnaf3b/ESsdJYObIMhV8Q4grJhDoTuw5RzfNJ1tj5CzZdtbesy49P5k7J4zAkJWhV6xp44A74scoMQhHgbBTPa2GawzgPrtk59oTDyYh2I6qZ0WWZN/Ji0+AsLKNPp9zT8/IDmjj90wQxegJGp2XmmZ3O62bo8F8JfURe45xQgJECDEsoQWjKkY1ukNdyc2pr5lac35imyBAwNtPJpg3CDkVcJtUMz+9J5OKPV8wanPbw5H04KqKxgu76a5UM8QjkrYsRzgxiqLCfJJPE5XUtAqVmEZJTrC4XoKGHOCgGvUCfSAkf7zKIIuUYgpSlakj/smGE0LQrRXqZTltkR11VXYtwJ4xy3mYNpfoXns8Sdnu3SDcuEQPbve9TqjXeFDVk2tnO93uL6Ngx4y221caT9MS22hhiGRMxbiSiE8E8kgN38+AK2B5rJxYe+TbiUeTveE3uvMWAH6M5uSj4EAyBz5cVwOWVCh//KU+/vHbt9/07Rfy5fNhfUjS69s99RII1lS7W+YYY/fA7/7R/f7qO/d9SddXv9HslDIa5mRonvTSnAFd5wh9Utyl1IH4vHSOP37h6yOCMwKRd49HP4bff//6/qM9gJXUMqP1COtOsY5++ahfvlWd3vE7xR099jbc9XvGnqZeAxqdTI8AhiO+CtCHXwYq1jC/ijsksipLlgjd5DdU0x8BquMhbx28Cr/B//TbL//2H379N385vxVVr77z4/fPv57+/B2f7/mBr9sef/zzH5//v3/5mveZQqHf4wb8HlMeTqMGbXt0Efv8rtK+Pl7+lHC3MZ6th5JU1z60jDvDhgHfkPKRuoDiqZalj3K3qmY6zgV+oCqRhVEy+EACu8Apt7sRBHrG98vvT7//4P39/vhxu3Oeki4YuKu2uG305dV8wRMd1Wz83YJs0ZBucFIylzhESSnRG0J4wUc6oFAvdfkUFjGPr1/WS9v8SL0OpsqSYElSJNqz+grzEZRxQK1kJIT2z9PKxthFxvu20jdLP7ue8xtgDY8LNa0RIG9aImuifRkkUkbUTGdo7sYiYj020eZc05ieGw+SBXnaVmCpATU3QnEQ7Rg5s4vmyJPFD47tUXESreI97or60y1I0OD//D//BziOvSfAcFYpgbX9oGm7i2dWxyCjN979IfnTl7fAG70GYmyvWWh0rkgCTr7ExuYIhspHEokXDmLcSIWAfjkYzyUNVVRqJET30NXTK5eupxBt8/5Ty7PK04cZprWu5wWwN9BwdYW0kcQ4WFS3oRbCu0XxoIi4ImRi5h1yJeoPPR5kJ/sHOMXjn0xKPlaDHCVA3Xz6NlK3vHzcpiT+ZHPyAWbyi6YaC1OHSNp+J/4cULU3MXM4Rz/sSg8knwyMn1Mn4RjvnORDzDTSm4ktgsg3ToNFSYfK3oPVTjDioLFvQOEIE574ICQeIZaI3g8164STnsJiLvBEM84J3SluDMnAIdpZCFK9DduRi4+HriAKyvatR1G2Qh7vWLmESa+vfpVBEcb+fJ2ALJj55ERU69b8OZfmsFplS7YoBW0CQDRdt4if5ozJa7srZnzS+b0ebjDp6vFPeBkkQc3Lot9hs8Ij7Fovo1SUzDdMpL+rl93EPBVS2Vd8mXqlfApQZo1NaIruyRnBg/nneInqzlgknZGEIHI4eH9MBg6uxCIEKc0CTcTUPGJFzD7Qh9W83Hq3SwJPgNZgVsGN/L+8rHogesZKsm8+4hDCs+Q4ttCNZPSBttJdqOG1NZhZDj28RXgBthIAsq6qn90bLAc2tpT0SY+B02ztvyud5eD6efGSytHTFEC5cbSCul54dxrhJvI0uu+8e8UnSXMOWhP5fB60oveEdki7waR8mtZ1FhgC3MIIJ4qXvk+BhBmip0aPfGvASu59blY3Z/PQ4VWZtVytMZPCG+wlOI0vZnP0Oe0SB2RNYru8dVKBshPqccAqx6Mez3+kgCQKKqjYWWzPK78E+POfEUUVD9Wra969Jn09Pi+Ot7AqZ1zgrVxwnVsNm9WAmWvDQY+E6YnDLMHxAw/dbroH0/6KnNzw4MbFXIkrw61RFdiMMl0aYsxmpwUAwNA3iAAIXYA0URo3V7OnBuJLAjwzezE1LVdSZ1aGn9bzRaVU2lBgJMUuhMvmCt+sz00TOq0P1q94fft4fcN5QVXno16/9C8fH3rx9W2DMMt1OeFVp/X2fHm+fvT9nHvfM7zt9nrTLNIaUq/BsASVSVk40qlkNVRVn1OvD7yqvv2yX94U1Iwp8fsf/bc/7vuKvAyGTTYuo2aBdfoUj16vg3PKZeebyGJmArh3TvS0FWYb0bAPGiSlI52jhJHVt3CuXfWxVoJixkceik2eyt2ALvKXqt++1T/95Zd/90//8G/+8u1f//r6x4+Pf/sPr99++aX81fWBHlz+9f35/cfXV89Ff417+Lcf7//b//Jf/5//+e9//f41b5i8X2+g7sy7fwrfHPjJMfwYeyFy+hLrAmdPJv0Sq+DKj2oXznBmEiWVsEBTJZXOfemDSArAvChRe4Mm2jKpDBEg20P4Tl/09Pui35gf+Prs73/M59/e8zUY9PXAeOdS1Mp7hh67XVe4cAykkTpiDJ71hSwCR7KE7nnhZBCSWMaRyvigxLh6mtB5AAdJMipcIcmq2mxAKIlBpwzn/xwmSzyLdK6xHKhMDhZcfmBKPNa6zHhcZCHD5kYJLdwzHfh4FloNaQCc1dMvVyjwehL83hl8OqNXh5DsaRONcac82EMU9nke0G4GvBUXdZ/I35MwkNVDzNyPxxMcYM5RlYe4sxaKPVzQJucmko+znE80AevD00qcomXgY5D1xG2Zi9o77ut5cmflsMtKcCF5w7hA8qNGYOdS3kkHCRKtb/OSfrTyxS9QCIIgKxrzUzPYUSPSmSaYuPCMCQBsbn70YFZbTxnJc9wvb36m3EhtPH1e29sCcNHtrE/4eTMDq/OK2OsF9S4pszcKh/PEzHjBmPhMRWJmnnewVo5dP4ftODmSlarYLeMFBRbMzP5RPkY/tE9gNRh2apQWa1yKedX5zq6yQXd7eOedJzjTYo19Apol8Z5VQMMvojiS8u9UZjDM8KAHqjsdc2KA77E1vPArnEWsTNRJsLCRXs2yK/5IDQUhQwUqSiT5hS3czf6Kn+xOwPuSdLMBFRBCFSsF89I5mwCFOKv1CEIhZ5bD6mbCuCwIsKyHex2Iq7lx3KMljmfiow1Kl79EedrqoXFmMxeWMllRN/abj55QKyXB3cyjYsreMeueY07NaIjppY2yw4UghpcT2x+l1rTxs1UARCfWJX+2cG/SkSYiMPajCGrgMBIvyY/YLxwYMRJLwdsmlHoiTqxJLmXyS5n+CJ0N3bKOlqCK5qOCpAegGOoQ3pXIKXHMnr/qSgYtMnkAR4rmlGE/ZmISVlVYvkqCkwHiFHEDi0WwQU1fmFufkTe66M7ldMztwC0KEJQ+a2TOp8urUV6Z0QET3tmZm7KpiwR0hiimYmsMdtRIRL09PW6x327p8wJvttZ4k6Cbc6JiZcEJGfYkhzJhuPpK6bx3H0KkpKmgabxIxva+hcHTUTCHLgNx8lpkmq2HzXDUoyDtWs8FyjliolnBeWVbkRu1tWEZ5ht1eM1ktFhUQ8VXRm6ZAxZ3+C+oh0dH8OgUqBExlLZaBpTSYJZ+KB+QcYtFIBWViWvffvgQdtnoAm8n9/vQ1gptSy8PZo+VLm44xIhwU9ZEy1nyqJKO3zMXYLubqazcQo4N7gMq57p4ZhPtpm8KvjTtw+oGThL5Eh82Hlat9qwiqIpvKYltRDKThquvQ5IA9MBRfKijRlZtWpybWw9zE6U7c6PqqPdn+8X+GBxIPh/ujz6/8P3bfPzGo+KHjucWyypa4Me83r+ce/p9+b64t29jmh71DNyCet7QGTJnTY3wkUxiKnmNweM/0D36yMEF0D14tz/fMz910cFk0axDt3TKA9TcGeFtJKnOQ7ViKUWQb/DtOa7pFvJmwwkJorUDQau4XmNFJ3Z5ql6rVRT3XZKAHpNV9XH4D99e/6d//ev/9d/9q//Dv/7Lv/rl9fqGg/pG4Pe/25K+WNL76358/JtfXiV/AtdjzB9f+OX8B7T/7//L73/45cuZGs9Xxkh3j9pJX3GCTQZWwr0FFlQ8IqQyXlWAqij7vPAyRQrnU3NY0UZ/DY5RwJddwVYnO8TRWgmN8u3R6xXbgIAe9ntq8HUNT3d7yLe+fp/v//LjxyfeP65w+l4a6KhnjbkH8jXhhLDNkLgx9CcyU1OpcUlZu0mNKGh4BIHHOgcfJkofSKCPX3UIvKzxSxBwLdXMOUfJ5yXrwFBtsllCIO5E8h0UOBnhjzAWyCS7AbMRQ3hSW58UjmhaANgesZ69zCHgiF7EDg/3GJD0+I4r84ltXk5x31wBm9zoTu4fQfQMXBFUzI0gI6WEMWii0Z7Kz7wAZjokuZqjdKmEhvAjtjRoX3PZ2sihM4fKOMERHdWbYZz8ZDH+EUDPVERXtWIIPvgpmKA/JvHA5pF7Yep003c6+pDdY3FIL+ocR79nda3GKAroGcace6s+jqprXjg0sQkvdkfm0Ty0Nw+Ed7e51Vj+STlE2yAdb2jRPLKm1UPTy5Mluv1PHVEEhZLW+LdA/l6wtuME52OD2uWSAeeIDJsRjdnmdOto/1g/z2GEBRm9xajJlk/hKtvtn2pvh4W5EaNnjm/zkSSuCAwxlm7H93SflzQA1i+wU8EKhnpBYovjNa7KDCew+eBJLy9pGDGYJ/E/KGgA1AvgKYgvqy2MpzmPh6ZoN4s29RF9cMTFBTZcRCfGhi8RkErNrm0mRrlMVBSQA8IsML8NUosE4EVeUR3//T7qszRNYAPY4IyoJr1n+7XKgtpL96wexREpPYmwzFQVG2vSoDGPR4jwBEao3UjHhucJCYOJqrOvcybZTvx2vnevjj3pQh6oehwxdwbMGk4UR0lwpAF1VruQV7SdHM8YaGsw+/abMatPSCUAHXCdFAXOOopmmo+IzLBxhNZLtNg2rdpjJwfKfDukykOiZ8/U4MGPjZV+BZKPUjlKn4MgwDM9SpD9fkM0mMr7XMpPslb4kH356LVOZm0PwRbKE+n+Njp/GbcbJ7ebcNCEmnukZ1lxz0xhpp9mrggPwh8q6n5mCCXo0lHp6VrodyjIWZwhZBBhRvwQgAIg0mCKQRe5sy/8YvWw3+8362vAguXPNv0ox5YHN6Nuf8It0lxbKLO/QZi6iOJuz4yd3c9N1nJl0jjASGq4AolsirNB6gYdyRmbDZoQEuOClKvmANurw0YtC14fWon7UKJeUTAA6oeNlQAeZsmXGQE/CAjnlYcJCcpa5TjMU3II/Ai/8uzcKLz4mti8H+wOD/QjOrUaZPE953gzx0f5+0yz97G84/PNHoZ5F6NibJvHM4atmCZcQ7Wq/OZtoJtIyLagq0RCQyoal1Ph4XQKkzSh12j0Nogt5Q58sKrWBdRSepFonUFzgxUiXaAn70fPFktw3IwJbzCw327NOUK3oAE9rdQRzsjX/VF+e94ljen74fmoX75jPtmf+vYN/eFffj2vAz9N1KgroYof9fH1cd36/MS9/R68htccc3CYKw8lGIXpa4svw5dDF1r1Nfqg52KXOdjG+6u7scgqeE7SbSo7sACUIkMMGPL+HFWuW07/VJ89H2YGLnHaqpUFCIy+zXbfETBtWjfLuu3miUISKnHkTQQlQZXq26/nH/7p9fFb/fYx1T/O/FLzHk2kiShNdxf5/hpjLqYGoC6r/e/+wv/0f/w3/9s/f//+18/7HlZN85Wx6tw7OyxM5nXk/yMKiaNTB7DrVUc8ZLDyA+GMDIw8LjWvpZc5r872ZzXgh79O0segakxe3UWtpi28TVI87B89g9uv+fH6er+//9ev3//b19cPuhuti8EFkgS+MKi6DcNtd2kn6kc4b9dKF3KCKp1KRaGHxIs8QpG/FD8kmK/sK5IykzyIRU1BeB25oJbOadwFrpOVmUamU3KcSXs3jiCqk2mTHUDEdIx8sDJgGOBe4guAJHF9pav8eRNR8b2EqVYGGHFbarCRpAGRlbj5zENpQ5F7Z3IR7/socGGbs7YCm+PWmpXJgErSZuaE3M6sawgPBpJxNB/wpARA4qTQc9UkR17H66w4Z8UcEn0RVizYcOgTDq15ZpLwJ15pEFPnpGT/97ZpzONG4xP4ukrjn9UJQAiNjdwP0055Wph5m+atoT7EDZDet2KMmXfyd0D3EOgD9vOBOKOAOHMFTXeohLAh3molyL5rHvXOPCre+2c64yDtD4uCrSYB2JvIHSRyQkQb60pci3DiXQYCO2XmPzeTFV/k+4p8fTXgG22vtAZnfMuXms/wAJfPBA9CC/g+G0IwPS8iizpwbvhJtmGOQgAsT+NQqcVycX8Lb3EkeDKSBsTszUx5FZwa+3q6BNYmQgtKXB+SFjbZL4w54TStF+myoEQ7lTPB9qhAbvsJjkpOoq4qr1t+t1qJbEqOVgC4AFlWpl0zCcq4GKbVfRctUiPkL+FgFilPfUFeffJYw15d/jT3SPA6HfPhTi6USShoKFAhMRMyGmBMYeQuZ9oyvi13OxMAe3Z6D1W2PIOVMb0eX/nGZG1aapw2iAvP24Aadf9Sh16C1dN3jD0uzF75EWm4b6zgAK5dBVwkrrhol+AqmvgohVIGtcnb5it5CtBMky9TxPUs+PHyJndyIUoe7yRtbMGweEJS6XFXzChipvwUS8P+vNXD0oaVsycYuFYlubLqcP7pp8BGgKEg3gE5HvYeaJjFGkkculOVngXK6A1aMe3VsVN25Si3TuVqOy/n6Lhz0WNvtRThZoGTtK1wtUlpK6RgjUqmNe2Pj48z/TKmMX0LjYutioqID1uxvrfQo4xvUD7dg9JJNFE4vhC7YQakDNw5YeYxB0IaRStRVmAJYirEy6ZTWUuRcPuE9mXbOWrxaC1IsEHRr7OMXwnGS5rpkt6SwvKTLLPrvvxyEb6Z/pd2d6m0PFY20mEhJuYhrdRTJJfiKA+AZmLFTXD46MlGpqvGTZoJYHNgM1sq08AL1toyCxoXcZNqDbXsqZkO6pCOrgup6z2mGa2B3025e1GRbFwC0pHF5LoIcznYGvV9xvcu7FQzhvr96ayIOHVQeLwxIOzL4XDkMx6LCeqL56cn8OC0AWwmtQYU79wOW9doTb11Clbhfr0//T46P87rj/lx5rffPuYX+C/+9hextps7RG2MTz4tsF/1vm3gdjfwyvb5yqwpsEWV0KFCJIBNUt2jgmbeaTj1YO4c1K1XEb4XxKmD7VPJ7hufThGNEUHPQ+yuZT89SO3KERFDgoCVKlClMc5k6AZ1Dc0YWTObP4MgsObPHpN+db/0jeqZ89+/f/7Tt/O3F/7x1Mz3Fw46FWeat90hsGrmTfNevs3rO7zvH/63v9b/9G//8vun/9l9vwZlEWjig99KkfTSdVQv8uD4tEqadYtJc84BURidxMWmpZE8m9GJYwz6JnEWHHJcOPgiMRsrpgEK6BfqskDyvK4Hb4PVX/31qa8f/vzb54+/9vff5/Pv7/sGHeWax/QCqVFXe+uMWu9OgJXRuwRqolPZRJx6SClR6KniKbxwfj0vyd/EU6dgQbVxPfm3ZeKQqLwSdWB8ECkR2qzvBNauWyzh2Qj2j8SXJQ49X7A7MIn16FQWbNq89hXhbn4gyP9RBbp6aFswamMU4opipKEHM007SYkR8ZjTzU7G+vuObFcbPePJdxkDQbsLceRmO4GYCS3wIZwTGm5R9hRPgi7Hs8n+EePEpOyfqRfIZH/O2WssL9PewuZM+0SHmrMjt7PMW4CUkc/L80aKjY1cdLhLUAczpYXKcyOPvVIUrtM1pkutMMkmTGro6T6qd88E1hudl5vIwMT6/1P1b7u2ZUeSIGbmPtY+J8i8VFaXOln9AXnphgT9/3cIDUhqQJBaXShU16UzSUbE2Wu4mR7M5w7qgQAZjIiz91pzjuFu195pU5aMGwvHJiDw8bSRY7BQKHBKmEyagOkbwYbY7XRQx6LIhHwwR9zS4J2g+40/eYBAiR1TzgrOteqQzYkPoRKsVKHU62uxTGtWVOruR9PzsFL73x7UGaFOVnMfY6gq3c+5PcRukpIMFLi2AHujYsMsdz2sU9giojorTkhO96OPY752P7jnsluZxTzeGpAau/enVLBbGIhH5VUtlPG2ImlCAcyTEyVH5DUb5tls7YdcRch7XTqrZwp/BUVvYBMdwwKaRHuInSEXA09DQzyym3DkjAL5elkBNr8HWWwAAQAASURBVP0wNMlFSDGGHh7o2R1oroznoYsyQEfxXi2y1a4bKQT359x0KNrDBNt2JXZGu86hoSk02/YQLapmW0KQ4pPJu5h5QUA/XhFlkc6wLz3GkOR3FgMgcEeayVPmk1iVHOI+PAEFYhTKkFmA3TwoVudENfPLbCPyPq+2CuSp18VtuNAT2ZAbq8NLWO/rI2pcJdnxkplIrUUzEtK7+0J0hyZTaIsmeJDc2Y50P1dKjBjJeICR7UMHpUhBhP03Z2Bw/pl4OH57pcBqz8TFXxXbWIKgjbHPwGd3cI0T47TMMiPDqHICNutcKRXeAj1GH1gYJrNgiAVxXFUYgb2UE6tOAS3rnOpcH4/byPBJIH3QEoNAS+hlvc/IaAhuQ9UeLlRDY6mdDQqIqR1rV+VRmE8kQPRJEXVUl5n2bk27D+0qy70SJyWG8yPqwbBj5dMnyU6FZqss8tS3ClWFrt41eNgfNSXKfV5pOP4L8rY65WMK1pgYllX5wtggndwoZYuFVvu5ZBZLLkpgd5yw2+FcNh75k1lRghRVfAnKrPIqCiOX62LCVKlFm+IHNF3gq2NwzOuBg7kmOZp6hAY5vhSViVfEMVPkBWqNaEEJdlXGk5+weKF7+C7nHiWzncVaCDafR5mbTVVVFyqnf425CVyM9WEiD79D9tu4o2KVPZ9Su65fb57G/eXz40P1M/Rrf/zu1R/1cSYDCBM5zPPxgjHntDh695SkHbJcBoU+B/g49W5UzoQXAJ+uF3zQ872OZLfmqs6v1Pe337hJUcs2NE80f62oAIM65JW6onaW6ejE8m6UiadmO5hON22hRJacUzWsZA4mv3GrDrzauRZGRd7qyrzMQk2/3/PnH/1ffv71d6/zYn8TPu+7+oUWhxu7/04P8Nh9CwZ+vaMrGPL87jv/5q9en8J9tVQcH7Y/+lUdOOxFo3mmSp7XN9rGqQF5eTpC83uiyJObRF1Oje2kG3CuWP4c1Zw7xrs+fx3dOTw8gXdDxtGsK1nCJYA79eNzPv/15z/93O8//vj1T5/3F/nypoFCd4BWlLKcWcAgweGB4crHukjgr9FIP3eRfpfDZCYiisSr63VI8qP6o/iq89HukyHddFVxbzOwumCc4qQfoMKG5YnMwJSdUDxbw2nbShc4DcWIwOf+KnCthCSg7prY/GM3RGLq9IAFSf5VucG8yNr5iElkjmIkMPp+RKKlgWo8NnUNzAyuLyB9ItXMYCunsV2ZiHiL7Qf1HU8959+y+vkdOi6vCF826edebissg1RP9hTvxGUIB0ytaNmu9C3Qo4Rk1bxHyahOD2H010EGU4fMr8kjEl0y05RdpJLbGF1MrC3YED8wEnqu0703Ap+rkmfYZFk0Z1xdn+/3p/Eib7+6Ij3A1cXGkdTD88SrEOi/LXDXwKghUHCpXOvnC24g8flVAIYo3cMmeXFfDEGokxWJZkrOh8wVX8S/O3sXcDXfoIXEIm9SD2E9iULAw1w/jaas/cwQQDch7znhvSNrIPBKCUBqcXYxwdICWXbye20fThbQUBd4whH3YSo34hrIeYmdpS0FLycDrjtD0mwcSIqGZ5/9TpoJ6Ucrs2EqXsbKRO8WmhVyPzmgKjVGlaZdbtaFq6WpZDtZ0VxVaA/VdCLkEJyXZnfc4ShYvYoNLuDdQV1/Y2HIXKHoh5qissglypJdGyr7PMqF6JbRDFSUIZUmAhM0nJNqHZZxoKAIfxTWwp2CBtAciZnyZb9QN5gVp9mzdN3FRqEo47YeJCFYsh8PgYUpbx7X5v8E1WVR7MTN1PM149lg6IihNKwg+ny067VH4X5De1Ji5ykPwMMaqnyqw2+e4ihy7dUROQF++4UHCciI7iS9LnywCp5tnn2ERk+39o7uVPy4Rk71ZRT37IjOxEkdy4XwZHQqkLyJp4gp/97IGqlim8IHIVnjgqLl6EjlwvXQS3uLoo9mGEUWzK8rMtuhHEeSrVL5YJ90hBU0UWN4VO5qRdq/KspCpbU6i+leb2nfDSF8YEtMFZONicVheCVXHQNLrNpSNTEpjRpVby6CjDURCmTwMXkfca6aslUu6VX0mGYJNwlFtcTxK2cO2Z6AOKQKOHWqANbp0+WDEpdW3itbJMUmfWIgPxH9U4VOJxof3DsaZ/gefth3MMUXHllp0WYnejgrjBAAUkOwypoqK1VjUXgA4LGneokFOHAzwWhkQefq3Ag1tBMW0g3JLn6j3wUhYgKMXQeXYOpBNHqvkm3A3oBBUtkW3REgZUUBUMCE6KdcYBlDUuvh2WX2qz8mx/0G3CHWQtm80d7kgmRiHikJHtK46drjYHxRTUD4LB7PKQMcut5z+/46/XPNz379NT5+f+5P6Jerih42T7E+5ME5EkrNhMVq5FOwfF5ktS9Y5rBZ9AtVBzx+sQ/hF4GXZaBH/P7hz9v3jfdE6IPPi9OcTCu2qWYLbc1h0Tc5z4UhWxZtniJ2SYeFrjb8Fl5rPCt7Kp4cAorHAOiyl/n/rDliXTClC4g/D/N63/v5Q//a73/99v7G/q75fnqEM4TnXf5uvYMNi9ey+62rweedT9Snprt//zo/vvteAC433Px+S+TpBoSqQr0ixVVPveF5XH1cbWnGj5Py2LY10tSPO3gL+iBw38Z77mfN+/PXP2muKRcVKC7CXn3KXX6P5Tt8f9776/38VT//eOutejdQRlO3FLKB95lVGBBmErwGis2Sbg7EhGsux1kk8d1dcnV0W2Shul/wqfOx2KRJURHzFzgcBJI7h89wVKeeQ+HLJntWgSVv6HnALoQNdVYlRiR2MuLv30U8fh8LXQIqwe29WcGIfCyH5NOIWB9cYFAJIc+06GCHLm/DoMUrwPM5KcbVIOk/Nc9I+QV8JokeqBjHMnVzw9hrf7+cnsWMkJy9GhWi7yEIZxICgUTfIhrjyDusEs45D9QSuqOzFe4CjVcyyhK2SBg3ndv66iHdSPSOUY1fHumQ/s0HQeJO/0n2NEmPq5iR/LegwqRVOeY6ReWb9dylvnXp99xOyIcxHrpEEwPisF7fOpdWw6v4SjBZDBLJrSmVewao5ChhXcJlTj6mFpMmGRLWHjy5JtyZCc4/N7VRUZkwYZm1lblfaD9za3OBqM19AaCnISCLQtQOyYexuWm5XOB1/AgpYoYMwZP8NXcilwCy3LDWo/oblUxFEbQ+EayKovTMqclZCVnlTHQADDeOrSac+d4Aq1/+sjgCidd+UpZil8xn4GddXQyw9RlKT16qxQO2oi9ncJbesqlKvlOtzc2UE4e2xrgVOieWsApKlyQr06OX/o/G2P0oUQCrK31hWDjAQDJW1J3SkhT0aCpSyzw7pBUkhAYOe8vCHxv1iibgp3SOeFRDsZ1n/sl3FZQsSoCIleMile3DRFiK7PuyjWM4ZvXn06gEyqb/gM6WAe56mFUJ5pM+CYoJ4qHhXqTryab1ISfKnjZ14kNAfiWpo6eJPDlWSqyYyUShE0e1v3KoB/qFxNQthVWGqnNHZ3rZOXQ3JaRYz4rJwJPgAeZIZBX7Qt1Rskjohtxn3VXdlVgAuxPL01/tvH5+MOV0eN57POrQAtDCLC2Z16nrlZCAekwKosHb6Cyr9eaXf+EpxHo1f1EBU/QbIFnexc9hCmcYTgCKJCXSVXseeVON2Sl9KFUcUm6ucHHtM6kZO6lIbYIZPxGV3zyZ8RtI4MTMmMVKcFoOyNzcz/lLTDE6uJVPm26gqgTiIEqz46DMhMr1FQJA9wlbU+hus3Ber0OQ7vzOtMCzB4d0aFRdPqh98IWMDivXfOX8AE0MoxlTdb2I38b4vGZ47nPLXzFKLMoFTSUwFVFzlZOZE5NQGMOCt/+R+a4KBluYq2AFgwamAaKqGroqHJ7ifKp27ZgqhaM1iBre3jxwWzVwP/6HiikWUtwY7M29CQdlYNaZ32SSdpmiwEV8HGSoiwlsBZzNN3gddhEFCt73LDGIjwduyb470y0OIPYYr9ap724V9Clr5urz8377uT9+qvPC65Tr8ltTQDUHLJ6WRB30x5lBsd7BwXiq+mVmTutSdxOdXCxTOiqwfF5GsT8Hdzif1NjSfPBibpq8wFZ/Fo8NNJEuLL6UwCJ0jmOjF0SCT6VVt05Hz5AXYpuZ8NWB0bk3hL7wx4e6ua2FLrhGn7/4FnBvvT71199fg1ZT7D+bH6jNlhDe3br6VvVpvoArgzO4dl9RU0C/0B+t9r3gAQ9YdfCqbd3jLun0i3q70dLLvLu5JtgUNHwdo90MNfX+hKdxeX+87xu//nrn18Gb7x++b4/fdKf9NSaN+J3A0gAX7887n/f+8Hx68PqCH+XtFJhJFkQDcf6SFqdTFNewpogojqoiWgTZPAOA57DIF9hVIUK7z4EO4wfsR7moniz+KVicrof/ZtQVLp0gQESBCTFWWiU36iw07y5M3Lt33fq7RCEamCcFMwJzCLQip83eEn8RGIsFyHZHXWCgWxNteZb3irLKZWuurqDtExxJVD36oYhbH4lsqH3kMjJxrOHXwU1Tk6pyRpWyCmcj+KMWIvqSihT1JdB84D5pat/78nk+0LU8gywmlRKUunveYCV5wDY/HnxTTtq2yoh+n8ut0wF2taqKamJoOHXXC4fPnkpmwnRiRujiZBCTvUOSI54hJuV7MD4VX5mdiZnM3AAfzJ08L5kZ9Dg3uUf9Rm7nbpkkpEVLBSR9zWUrvCkZOZ7o2rPzJPLlCcV210a81PYW5PMxTYTGeTT+K+PJaJqOlWI6bumH6y2XoRmTCXnd8GZaE6ZqGGbnUSZl6NM+0GLOnyjABDuUWSbHqgOMXBkdYqtcjJUqY7pyjsO1KeDwPpTlImbXAECSE3Epbq9osal7FwolTPRwCnJGkaqaO9ruoRmbkw/XM7Wcii959Aj5fBWJPtcewiqVMfNklCgaYVY++vEQzQ1AWq0TuzQAL3JsEUaN4K+OuZVYlEes5SeX61iFtkGXA83snUYMeGqFTDYKT6NAlpOYpZeU21V+t5jssBAtne7N7nn8xNFLxS8SrD1creyukqdgMkZ6d775xAbytyCAnZm+pD0Ao1fZ2UXCI3+MiXDwrJDenFXs1uD8rqH6IixCufIdkJDUCR+bh/nsDhSRkQPhGaLLmKUfBi7NQhbJUWNyg5LDMEl+CcNBCra0QoBA1B3ZGVGHKJSMDhNcyxPtfA+SGHeTLngGhXJWVS6IahjbFIulVNQYdaegIhFYq6rL3uWxXkpIKp3AKOkA0QEw6Zo3J9jatyAV94UhQGelQsiNLQ7TQxwB4HAITEXyF33PNgCHJg31sSeqDbLbQmtxLwhgg4NJJjCWXywZbAzAiUw1F2D4NCompv1LXNaMxMAHrwdscgqvT/EqKnNUoj3ClM3wRHCUgq71R3O1dwXYL3PKDY/qS4AGnDrSVHF4L/fJtGmL1Z40r2EfsBWaEjQm6E5MVeinY3nxAGzyWTLmH1Iw1yqN9Jy8xGs/I8ELpYJVHZQyCTGueORFnPMhlfCSb+EOBb7NGYJsUXpP8aBcjjz3sFhEc+jsQQIHlwUMG0VsUTEJ3EZBKIy6WrhbJhiJ0ZY4Lvk7wlKkeBzxBJ8O4v2fG1iUnQJRGhldhXshTA8+I8Aoz9tj4Gq+6b7P+abz+jjfcIaoqarDMzMoosHxLeXNJN8Forp8icvNeHphYg4O+MKjOF2L9gDfyt/w0y/fhvft+RiYPm+B9LtmyN9j4JTNtZTEQVeyC+hjjlWnKPP071jwnM46RhGu0pvfFgr1zfwFvxrV7KrTVfBKH7MUFIKJfoJN/5j55fP88cf96duZV9G8Ez6KTZ8Zo8y3/PHJt+kfPzzkHP74VX/6/PEv98ef2yZUBXN6BH6g5npe8EAiJ+/dHYKSpzSd0N9xeSSVpDHvbbz1+avunc8fAjy/zPtt/ep5w7bf5YEI61XwxJ6YkouwQB5cezxv3+vNmuDl1GgLCwHOlLyW9cWWJseSC+n20IumF8CGWY4kH/1ib0WRO43OrCZPhsvI4ugutzvwQTAcQM8cHKYcEo4j9GPW3Q2uMQl2M6XVqUHxSgS/NPFYx00IC66KHbkbc7ScJ7P0yXlAEWqu1lQen8J0EgMShj0jcKKXkOF7YWdf0lztwYbEohQ0S83BtLTVAetaD5hfeS37gfwCGhMQcp66gdnMmnAJ9qP45C66G1+STHpV4pLTPsD/8//47/M+8InFIerh+INXcZJVh8gu35HiKrxsoOMQT17j4Yp7Ijfd+wIbs+bnlIloKtnNjFqBZDw8tLSB8FhpQo6s8qopubA8L6cedUdVNRk9GQrVdaq1glN0laS0T9nxfRbTELlGwWgOQidvZOCNsNgQnKeMexGGds30GKGZVogYzVEx00XcSVEYYINIdoMrUIVg+8klShSRPb3iF+ShN5DmOH1h6rU5ow/FEPAL2WwCsMGI38XyYw8w0yJTsZyGlQhdavjRO1SV0/WJaOYflzi8FlfAXXDuKMCFzquVn4UnjHwn3gptqi1kVrUM+MqVARTJDbtPqCOeREzosJe9wL7IVnoEgmM+W0+gY6LTMZ57JGR3reDkEZZjyQ/tTSA0McrlW0sYMk9oks6FPERUx2A2gfwRA5MCukPkypy0tGLwy8eeu2tpwY4+dZmkp4soNEXUyftxyxF7bKiPsEC2GV+po5uHVROrcaNcmJDbD3MUaAN7DrrWVQKwQnjvRPu1VbIfsksx3WenCcEw0Wflr6DE9E/SwqTwM8fAanqqmpqgsRMvLn775Zz3TqvYWM1ifryirAPOM7EGqSvReWXBTMOJeggUlJcds7TOVIRcLkNJSQfSGRf6YjWXYYl08cWPhauJYik6HTwIhrKjRRRoIFlCo2pLZVmAZmTAHAyLHkQY3Fm4e1+n4AOJrLJii+YSICoF6g2x/Mi+aVQjnv2NrS9Aovs2aEBJoF45qGawXzc9OSquko3a4hQtVA3NJB5pTWgYVZEnysEgNYqz2cwTU+v025pks6qqZDXJroKq6tQ5ByweAMmDH/U5q7IEl+r5rfnbGKFbuyYArZR0mCFIUjRRab3NJ0DES5FZQjYrpCL3CsIDA2p3q0f2q326nzU+MV2kMcwTa5mPfQbwaDac01rSFhFj2AbujAXJM/pV0flCZOoGBk45blSORdyqPgLBXuovP2ke+qvJxc/Bu8MGBf2gNusq6X8VbDyqgAGBY08iF7cE+2GDwl6nmSMHuLlwlOB8TbTUeJE4Vdbpqqpz2M36XZ3ix08f9Tt9//joqirXt+JBNVZdn6OqBQrL7fT0u2NiYZFTeUjIPg5Vf5hWe2mqC794OPTwMsecge4ZvWL4OazFf4CS6/JzozhahZ0rmkitULxntehYaXxzB8iy11CcmJFvrNgJlhcyAaNRc8jTh8Tr5d+9/Fcf57/727/662/no/iqb01VoemP10cVXm0kWMy45Fv+0y8//tP/8et//OMvv/yin3+9P354keCZc6LWLFffO/PDumEG7cO5mLfnh2B/aqSe0QHv59y378z8OleYT+gH3nBP15Qdie5AcKzps5fS9dM2IUyl+/P4zntkgleWq3q0trRg1asSdHBHR71R8eyYrqmpUjQBiIiuimC9YILHFdXRiSK1q4Hke4V8OY1Xs8jHd5jBV3BmIpWArTj3+niyu+di93KI2/f7rPO1KG05HE271Hum/pYUxRv5up9GUuzNv+zuUzHBJzMjbhi/PZakUYZuX894a49mltGA0/8ouBalQ4boyIpcbsemehiiEmRtVA1tuXzYaXoKZiUBhxC8kZ+YFJ5GGUFcbnKwOXCv9MSbAMH/yz//YRcAfpGDyJS90+SO+aFTsmBkNcyBjB2kokFbiO634/YpKnB0L5I29w+IuHixzmgYdixqP01YAFJ6uPZSBeuMO880Fz6Q0Ez4cnW9WGx09yM6rmqknuUzPShoAOPbYUsxmbaVbpWd3WSFfG/vgw5sCFHqCxoZyUrIY6hm0gJW/T873kZbi4X8uLqxna8BrGiKxf0ynHwa7p4RTEcEp1Z3sQGI8ANn7zNpY1UfG8AqxOzHrxVn/xGyQ57slvX4OZRijtU0LY0sbBK2ZFSnFHjnr22lTBoNwciuGyuMD5mWrJyUygE3PmV6ByCTJSs2BUaqE9E4gGyCBntFGcnCinuD2MUA220xcG0+arQ1YGbqlEaZN2unyETzOf7UXTUjEymnEbaqyfHmejOvRmDPKhince90l7ALLMaiwmcR+7tnLMgHUKbjFMtD4CRb7IKfRgQoYrmF+MPSZL/6je8jSul4iqyOEnoLWp0htVzM9hL8vQjfxROyj7IDk2AnoJ0RsgUnWACoJpTH6ysRLCvICnQfnwKQh+rrNbEz1y/vkVboWfTcBC/yPu5ClxdgbUJ4XpMvxVpxSxGTt/kgAkDxjIeFSsVg/uQCbiV9gs6+vNdDGLExFonH48aZWBCyiKcfOtEWMb9wBUNYyMWiiLYmR4PyeQ0G0mCJmHWQEDLbELb9oPBlqNgSun2B6TCkoNOp/bzAz1EQJzyL8RqFguGLvstv73j7+N73vZYp59aYGFVVAT4ft3lINZc5gBud94GPtilPBoqOojxnofe1IZ5bg6B5iuzY+VkBkpuHKDZbTEBrrdqWLrqM6+SHVWA7cD26V5d4Vlk+skgs0Zr96AuZwSZDhBjBY56r0HCd/ZWT4IcN5eOTEAN615thagJGfpSoWhimwhQdO5aMyZ02bV/asOZTmLevNcKVZiBDxqVTWRu+L9bj/iCBeqVNg0pThYHG5I8jOW1MDt0peM9qdON6i1p04mZfdj3Wm6K1DL+R3KSnbCpyp+AeCf/DmFVsj1HFdoGT7XpZMKDI86oXS9/vt9erX6cOefjxYr+KhfMNrELVq1GFauKDHHx+e69poYByd+Id6ao6VYUuVTVrslq+61plPcmOBRiHXUfJlnFANT66Ob7t3kzgGs+D3+ftykfNRvuU7fNOvd8QvMn9yPfID6DqJaBoAldsCmaJrkM2wfbHi6/S7z6+/fX3bz99O9/6fDuHNS+yD799fPz+nBGk+THz+ebPP37853/5+T//t1/+ePXjbV+/pbyYpSi8MZ913/zl1/cvf/rUrfs5deeSGt03Kc81hLdEQKyW55ZszxCtmwkBRnpo2nNd0DWAN4cix7YHhaECdDMLaw762qE0EJUkNGzXBiJHA5lpuwP2Zx7lw3K74w9tqHTiMS27umpMNjFRBxF1qviqV4Hyx6nMX6+K9z/HmSJT3GHNTLlAFqct9gKX7MsxTtGo6lA7+en2//sL8DZQ4zODbg0gWOGmsFJEKEWTOceFS3tE0+J40j89NyB7OHVN6r1Gslk1WsXqRBKw9+Y+blxBUI3RWLAr+C0OOfXcl78h3XtCc3P/s/fsvbQaAjjhtpWJPedgZkviGQb5P/3zvy982ZXjLs0ytamSUnDOlTAEOEF9jUF8jkzskCM5PgQEs/iNcXHwZy1dm+8k/UvM3JOU2OQYkcKm2YCbWGOgASVUI7oeTRxy0YgUAzyxe1in9h9m0VXVSKVL23uRZmuqVeLXKALF4YLGTOplhsykAK0WxM+ahHUgx9OQf+OjFl6eNf3mfn5fFBFOeVZkkhbb3Q2CaUNrv8sRDqYw7O4Gt5sa8PXjr4xhP9l9ZvCo5gpc/mAflh0kkeDEaHy1NucYAZCEsHyd2uadZGQx71We3MdGEnqn9ibexTuL8jM8MoOTqbrYx3f51XSz4gAPGe1HJA+jiiOeTo1n3tiVUyBrYP7tDcwmLVW+QBlsvoR3IaQllwN/sPSvTwlP8Wnu5KTYuJZCa5YLG0bExGxlXMunsk2KWZ1MrxKLkBzTajaTOBz8JG4xBlvvj71ZfVpWBbhE7V/P5GM2wAOAm/qNpygqXogF+Za7adHH1C5rrNEiBly2HL8tLgWIBaqX5eGUU1MEJ65mYZHAjJnsFS+CHVmgd1blVwMIcIxbqkifIiwKlQM/eXI5PfMsAA+AsF7ljMhgCok3pCYJ9TtDUQhUh5g90EWN2YkjKVnVpS9NXrCi0FTUREQzYN28iHltQt+Az6MLJ1RM+x55FPs5Ni5KkSmZ4PWucd4jPTFYGuQ0AuKFJ3axl3O4K10lOQex7TmZbyZ/qpYOKbeAxCKhxj7NsLC1o52HVZ6U8awaMa8WjHZ9cip8aDBgh+6gy80lAbN9AFjderriZB3EIKBisJ+oSlhRDadHVVmnBJ/u3Mq5Tfs0WTEJmChWSll3+cy5WagRn6a9VTLWenvzyQ8G4Be+jSTv1IJ2QMe2nF6wxazAuFrYGZW80ic4Jz685jNZxMnjsn/s3m2Eof3gHqpMmpKvjbbnLc7M2B69B7JHmPElrrOF1bRWOsopmE1WV0EcVPlwsmgW4JySI4CsfPA7R9hoXzN/ix4IbhY8CTsT2j7dq3nHEpoU4CGhY8f9bhZu+eRwGKgg89WxelAPFVYotfjZp6qrAX/jMboLZR51d5Gvw3oVSH5368zrs1/fqtHNKpwmO/lkBOd1+pyDD3/7ID/6o14/zq+pzUlqT59kQienJ/ydXdAF6bSnZHTMKldEx1sADrFGMaPI5FN9Jo7LUmMMih+FIcr2C5mbSGhy/XJGnFD1ZLnrfO8NRH290MZPH0D3R7NrXq/z+9cZ1/vtX3/8+PnH/fln/fnH+9d36dFozZgGL8f1/tWf789f//jj5z/5/WN++VnzQ4B5KTaHyQ/KoSCPL9And0ny2QlApZmMDPm660oFgGPc9yXgKUKz9VyR8AIlvQnkxN904kATERKUQ2DbJi7YphfqyUcaQK5NwocNqLUC89oIa8KoakoNdAw2xEefLhRxaJ/TBnK0RcZJrfOODGW6L+8afxI7n5EhN4UdSBMeuh8mPMi9q3Ouf9kw+YB15TP1hiOuYTWdvB+YxoTTvbjGlUdvj4wMvKUrNH1jMOKGiUXIGjCoHuZEK60W1W7hhu8D+tkKgulUqI9OrpIe+QK/amLxdfaHo7Bj3lxvaIhjPAVsGfnHTiBQDF/8H//5f4BmI2GYkyHXVkIC81IFKwDZqLgrHjUvvJMqgDLu/lsegeHO+gG0N3JQJdT43Zk+2bl0GkSYQQGCDrbsNOpHT6MgsQkwlGvRdyebOCEtV4M8OI3KNnPiCAgkydPECgEfZRFy81RI88ylLBKahU8y0QVtyHRNK3Ef0IQTcwfIzFhSi0jsTVuLqq3VjI/8gtnUbHZ7bHjFXvjCKVcmYgdOnGAdtivO8zJ5cuvHN0Y9KbK7Y0VklIeCZKcCZJfEpWCW68pQsBKd+OL5JaL27kqPguZLI/FYbrHRpcnRzEeZX4SVtF1AHrBtFmZNOmJVCwOrNi//eSkNwJVwQmdJeDzCS0CxWekC2H063cF5fQIBRtVSK032nhDZPgZsgpWugVox/9cCDaBc4QnqdBTSBRoUdDYiKvjHpsgZZXAm7VBYdJybYgZ8+X2w48j+ac973Ejt7APHL/Ro7bayiWggWQfQ2gUZnwMeQ4WquHK0fUVJ+wtaXwV1fLZL/IQEgqnKO8UWLibCbtYCAKp6sFeQDMj25blytprdYHIl5G/cNpg9tXLOKYf3mmf00C/ZzkQzhFweRpRhJZ47m8S+vsumkelIIL7CEjb8gb38RM5SxkDJvTAik17HRi4oCoIESuoqJGTYZV2ZqPJEfo1oEzh0UmOlEWCECHE81OgUzbRxmZTRyC60Rldu+QfgZSTIJV2WQ0AcHDMGvuSrWJkc9mVbyhR8eALX88FmK8gmGhpLIcqOajYrjlhIv6tSy517lA+ylT97ZF+8MTAmW+VaD/ZWBbkpNs1issNq5WIot7pe9ASdqVPtJQqaPbwkO7P/evv1iHKUx53A9eaaTy18jyWwuTR1ZZUgyiY9aGbc0IMjB8rJY4zRcwo+WeZ7VbUwgWUyfzgFOKH6MQEqSGAmgUOQEixSd96S3xeSDHn8tuf6wncI2Lc+zzQxA4fOERCzaiOJbDlx8tE2+YZW3eJB9cDxrdHrDXPh4usyPNqpCYFzsc9kq275iLd2ZbMiwQJCTWVq4pcwOHsCAFYrTrSK0OTEi0t1I6mOElgxZ6RL4uA4w4WO+0sc1q7uQ/VCNuCpF1A/9fmo/n6+f3vd331+O6/zQr2KhersDNUd9BjPt7+HSEiRsOl5AIEq4mI6UvJExtSJMP2NSxOqqUtWZsJCnYI2rMBWQ593KBGflskr81jA2J8oanDBOhbLfbpTX1H+6cMCZ+qXH5/vX/keg5AYlNnTkO3yj88fn/X+s3/98f7lx3t+5fvHzKcA48JVHpc5A4BOaYCYhrq4ZK03Epcdfaq1w9Oex4I4on2lrMTL7pY5cL5+ghvdZPLBMEJIPaI7w+yiwJNjSejVKwc5ZmHJkt49Gxnkq6oNgq8EfAXw/CBSK9g43D9YqFcleL4W/6zFaxZbYqcbKHpIP3qVqGsy7OddTfhnKbgbWCmhzs26PqC4vJnJzjnS0uCE3QvSACh+3vcM78jGaBRL7iMRClwDAjlsAWhUKwoCWXn7HJtzBXdJSp4ZsyY5codrqGRUB+6N4OJL5JCdZxN/nOFqb4dnqMz4lxU50MUTdf6oRSjwn/75DxQq762jsweiCTXEqpq8MQu6NtYEiCUZY+JHWKFQuftnYrmEi2TSIEOjy6Ydc3GWBz+68/1NgpherzICTrS9n3l4b7xG3QxYUVXNBR+pX5NwsQJ2MGmu3eScrhg7s+eZ6UfDMwnxAd3hiE6c01lPU0Qg4bFdfFL4N1G6hUQ87+4K+qnXjAhlRUQPspCvJ2ntCF66D+8y3PllobV7f4lByo/94sFMM/Ans2L5rSDyvY8Ngxl5jVIRG2dNWY9kYF9ihTh+RF/PtFFm3vNxtnMUOEHOPeJaBxebC9aPvWszw2dcIdYMsSg7m55xUqVrdQYknthVAMOIzx0MOKnW24r16EzUuQS8tsW804isLg30SBUCkxy56DEzheaHRb59Rl4bhUnvXMVlPvlA1FlvsFk52E90BSYWkhOj/Wv7igHLRBnP0Mf9hg0+oY2LUmuFY9oYyzW6slmVmJAOh8nNvTjAFEq2rTTn5XiRgeQ68mF08jkAUWstGu7IO8P/dPSau9zkBYQYo3hIPy4Yv26mpqRajSZCbSF4B0w06QzR4TSSi+hdozYSgSvaeV5Q8etHdA+/bD35UrD7wcIXkRZVcTGPmGi+GEQAXOsw9k2MCi2UUJ3yEDMqUrp5om7utzicONsmbgtiJuKyNDTeGuRVMjajCvGXYXeWx0NDGOpCuYPCck+1PfOY9XMZhpRvr5YMjoTihp7FyE5w7BrLt68s+O76w7KGRhtSVWEvYyBGRZRUKrOr+mwoljYa14Zn9s0f475x79w7Y9qTgSYjM5fxGJP5VsPPjP3BisE+EardW95cribqFOwpNtzV+8yFIE1eC8nB7B0CynS9SxjHYwQmuaESlJNbAC5ycmanA2vHz3IXrUez5H1WEDA/ZS1GWj9CcisqXBYe7L0eZFQI+dfwfGVxXDjS4M8rWxprPODVXNui7ZQyYawTZgWFmrGPVhC3or6HlU/VSDgewNwskQJQ1HjOAh9xSr1jmHBebBlK1LP40Aexm2NnkWm2HiAypLLtdiQzxaVLlxfLifiw1XmZuj807nQ4pfI3ig2tSNP7W3ozrUgU2sWeDKvI6vbSx+s1v9NH89v31+sb64CHHz8dkNXu06+P0PvsQ5t9KM7Lxw1sgXUjssMcUFVg9CwV97T4PvoIfkhSZ4ISfXtVcs9HwOCO3r/K4/v2+9er9/38lK75zp3AsJH99OzVCx9d/f31qk+j723fuea9NzOdDyDqgpef7/dc3J81n3xbc623JfiN8ZRLUqS2md6gkm/umHHZSA+yUvAzLMj00kAZy+IyozxBMfN852AqWBPBT4Vc0Fb0PYAN9iIlnHzqZGH4KDH/yU5KZfccNAdsVrnJir+Q6TrzqwvNzp7rutQRahtBYKckYrU6AB4OOFO7q+1pPDKSKACDQy/SFLIoc/GX6THzJ3enIA6+shcLoBKMkfu2WH6WKxpXyZrEjDW4iWjZM9HDKVa5HDXeHt7rZYPpQPTIVkZH+rsqd3FFxwZZdUjS0uo/6gsp9go8MErQRh4Kr9JP6z7K2J9pYiEwyrN+gVXorFrXAlnFf/ynPzAyG3yR3rWIAfCofj0Oor2wXdPe6gCAa9l8gII8hcodjBb0aBDJlQGZKDW42aRh7wIMrvfC1g5zGtu+XzrTlbXmyeNgEL+HJUI34XrB1brCWmWBKsPnUN3FV7dZr0r/rHISIWdChs4YO8tQVeEaHdrEG/MWhNMUiLKukzYI3JXojHhysazu387THElxc+eyR/MQ0D7rRfCuxfU8JnxtFlql38htg5xi7Ti+81P2vtWwTYlIfSNZHlcFLuNf2IcrURBLcTQS47ksajblCW+VFPBnUfGAZzXZ7OcX8KpknYyZpsxyamzDpOUDWQUsHv4KhQx65r6YRubEnZRlw8qZnkERiWSCll2xt3J0w3QcR1kO+4ojYLFwLIzcG1e1Qo7K7JR/Oknkdh0kFjrb82AtTrXGhwLMEoYJIdNyfXStxn0BqhX8MKNO5BRP4mDoUdruBDTRvs49LRX62pnTIr3vrmaZPtFW47dIdu9pl58tHOWz98Osk3zgqJCJUGBDIhJIwBIPFbqpHgtQVqp1N+zz96RoOqeao3HkwuwoLrEUiKDJ8EYREC0rYojhWdEIgBVj8UOifFlbsi65UcoFxnWYIWgWf0N1F9nNh/qFhC3fZaOrQ1XisbOSepjzYDeikhWwobgLEeH9JcsYJVBoQL0H2OUp2Ocq4pSm+5WwVu5cL1gLpjA9bQmLuj5MyBf4n46vhP4ACKJMO31xdqwEu04Kl9UAKSTITKwG1XXqMAGUlFF4RVzALiZtSQAPO+9lMQBfLpZlDUcjlz59rfd77twrjAivjNW28lA4FtopfOlzdrXH4SnRmTKsoE2sEm8C+pkVZ3ETdExSfF6PN5jUad3UaylKI+URnQfeI1VblbVJWV3sLgDnkSwkQFhSoTONRybFLVrSusaynz3g7VeWkvQlcS3IsR7Gm5c7Z8wZja9kiGO874wkt67cmIvBjHGVnS8me4GubpLmzYJb4CAy/IngMVgHLLrREG0rt3LOw/vgnVj3j3/rAshmljmRG53rPIYAvrKuKrCpS4l18aWRZnc8pNoT28CwxOOcTdMohCDKnXDgCbxmpzQXmGDLORFC/IoNJL6u55w+H6zD863ivjV9a/rUqwqF10cXCVzUq769P/p7mAuWGk1K2079FIkUNZpBlvaDD2HTckG7uZILlOLs/Jx7NZ/UL/rhTw/m07gCffDhGZ6iqh/bKF6oRPl3NcdsfUrGGNZQkj76myB4rIHuXACftvhDwMgI/JllFwlk0wLeKTVSTMxv8+DRUWZEq1e8PRCbpuKKC5KhyYHq4CWupbpA7K2TbxVE+2k8eaj+BmwddpEqdG6hh/M9rDYANeqkIKfwAjooKqP8QX8QQjcOjzeHt7WfOo0QUirXEIUGlZYhILDqyJVgjhiUHpZ7wW9kIa2q37z+D+qYHSYbT9dxIuIzXiROwds6O7Q18foDM3dIjq+xYJqiFrYfztgjrR2hIpwJ+xgqXFHNG8TYVV9y6YzMxZy13AISMjCNNeiN813qan/R2RN2H5GFW0MpG/vfMrTsbrv6KGx1iHO78p/+6Q/FDFrPjer9YzZDmRkHzUf4Q3JyXOTzLkIx0YpbLimyY9lDMqN2ZhgYzZq8bI8BbdWvss2JfdLQePbSEY0bbj3hBDuPuJI7DiibQNQ4KTzJk8uIkQymfKarXOwUm3ahCmd1EOS6xLDcL7aKK2nqXliemTdYiSliEgCJWz6mh6uZ46qjzK0dg+tJZiawH2AWtH5AHgP+ikz33kRL4BBiNdLqHh5gf1hWfQ289ldlzSPueXQww+cDD8a1Lt18cfX06XVI8qVBdpgLE5O/T/qCd7241JcH0C6lyUtJQMHWcQTEyyD/1G/mOSmOQYGZBxxKNCq9RzhPI6p1WNHK58oyn5AcPil+sZj7ycsxcb6g6mQGPeK1Isr99rujQ9wBfF0//Ur1WFhjAkrdJlfxgseDwMSnKr8DlcNhJ1YjwqdlDQwsms3qfXO5SUQJqQUtcH29kfNlulASAsX0FBBw1avN6pOKKu6XHSBFkSpItFVYJcGUfNFVYLpoK93VBNj+7W6QfcsNQD1W/zbBJkykHiCB6wXSMnK8WLbhiWEnakmNbVrY8yDN7U4BwSY7ab9mE+KkeITMr51Y+lAkyEa9T3gtNFH5NDe/yJEDsDhW5zzI4VgdJKMrwNGSRknfdMEXMQbaPTNLezzbsoyZPKWW5Ayh3qUzqTM5G1dHF80JabIjYyNDXPEvz9glkBNUEi84OKFLQ2YnyaeiPMcXsfQVuVAPdxWwP1cwt6WYWy3D7Xw8FVpr1u9h79SFXInRVBF7u+S7n5Httzwi5Pedse/1SHrPYDVgM17rgjw0I/97NKydf3dlpu0CYN9YweBge88HCNmdpY4NqpDQMYNgqdh1F/Z0rYwp79mchp2LNi64BtBVhVfqHpacIHfVyajY4OQPzdd0PVlL4adegg8Tq6W5k5qQgVsB9/JEYeiVWw3poZMEqvH4hyhNKJ8ZfAIjaTxOnhy1RVJRspuuR2GQo35RQtHWoHOVBhx1zHSwLh8FEGpqgNLYccPS1qZJdXGelwYO8nXdsQ9EiYF2kUNTmsWUgPHdlK36i4HIbm6Rzs7WQQhSPEA8YkNv8ZmIFzWZhG67L33YLZp6fXyMh1XfPlxPRdAAJPoUMGyjq7NOvt6vLhI+B1Q1srRsejY3t/z93hU8cWU36aVxZ+Zhyiqj+fEOXUr+wLztvTiqQJR5iHcASCRLtnEdo+rGTRONGn7OXpq4rfLwfuB4kwKkMQFdzAf1eXOzvD1Frh403w35CAlgI1Rl5A+mjyinumdEBEmIjz9fbI3m4wWxoRy0S8vbXxBcxot+aN3KhQXQ01U0P058oY6GKmVdED7qlJ8H1nvW1bDOOTDIPsxbi4PO0OzoSdvyFprkjX/KUAN3wwbE+J3yYua9bo4u2UgG+L6cqx4IHD52a/kK04cd8UR1Gr0JQ9ZIet/31WWFobZy2NczWzPXFFaklImXtDOYa39m7M+bHT60S1jtVA1s5kbtnF3Vy0Mso5FDEoqqZRQicDfusoPTWdpYwfCWQQ4p4mS0Ih9hUrLu8nevUGQhAQvNf/qHPyTTYeGzRwfLlfE+E9UCtrFWRoGB5D/FdvS4bff0DjH3mKpzNU/2iiIdGVM5dQesSQOLDEvv2OwUaVOB1FxClay98lzE1EXpnZg2QWMXBoaxUr5t962mjVwetTGNRXSdYlWf3Ax8J1Qgx32H48AS56v+jpED+AgetQ9QOTHfgHAMda3818raGmP9s0QsNBXglKF0ntWgat0NRPDzbGSC2lteC2bU/jK+RHTpfDv7NzjfBYzmEy9SK9xMRn9xR+Riwa5erWAumCI8ju47KBfNuCmDEBNFjarznWZINdKzx7Ge4OkCuALoogOPL7ILAop6GhlorTA3u3DEmusIPmavFkJyL0wbUbqQcOvgv6sWBiMSLIgh4Mjd85pe90emRGz4TkFV7POiA12b3hzQhCnldMqSlV85oxsSk2Fn9sqF+9zVC3BuB0YBHqQ4DnvwRoHtVDulcEIRgC9ygWR2ZDnJnL6NBNUvs8LwVgVN2w9wvwshGPd+d6nVyitwehVQS2LnZAi1hYIkMgNCPkgguGDtz/t8DF92dIMxgvhhjqzIMNCMTmxYBCcubbjsMVVYsTLN6opTKqwMYc1VBkY7Jpl87OWu+E68Y39KPQ3naikxGxMWfN6XwkBHv+dHzZBo19u/0qkAlhSJb+XtgRHBiHAH5liO3r/WOqsQsMj8NvkQWI1R1Qv9rPivk6M+6Cqw1PquengSyQqgOWY9VRiPgWHKFWwnNY/i2jnbXY1ivQro1XR1/FgyUSxvV1sJbiW9FwK9qmDycfEDMhq++yIKSO2i770iwDEk6T13NKbGI9C68lgXhcH4TSGapC5+WidBKgWgCVio0roXh3NwVRsrcgH63B4Ad4aNA0yTqJoDkKe+m4aaml9fjfTKV9chGT20Xi7dxjdcsAt1iHR3xIsd3DnbUSiHrw2kUArf9xxxrHqUfIutJCIsDnXfPdD2qAedBgOwYCWFfQy9r3wLvp4MCeZ963o0fo+kdMlEIbvmlMrJ8LR+gUA5P8WtKF4XLpYTdFSiGwZ64iahb2aWwRzmSctWrcqIEpzDjvOqjXkEvYl2ReWQuhRZHrK1xj43Gdcc6Zp2xaVzkfSYPYAF80vZGTeu5hk9H6yJKqVnzZ2CXrJSLZc5x8d0nYqDiFGnuvjCaw72GyXMc/KZ0ZtjRhZbc9+h83NOWhVJBwlh7Nroc2Hz5dtwQcRrbTtY7gWGS47pHfbTWZQS66g/VtIM6oCjA04/PfGBsxLTanGo1UEq1EjIZiaJNstsEVPmyPkpl+5JLiAiLl+Yq8TlEhvhyQMY2vZaoWqJhgolDnfJzfXHoi/RFVsV/YIJBzUNNHdKlKrrY9HjOvl8SJhVSdkvVtF+VXe4nvyEonlMl8NY+AlMrGgKMwckmlF6BpxHvqK5ZL40ZhJhAI7K6wHY7wCm2IWOkg8b5ImlyHrjvueO3iOvszgJYk2vu9UySo6CgrSqGYT90VFG90ibXIT0JjgS3mjtwNZ7wS6dTt241qF4+JrRBJn2LGmgZKCuyRIrts8GEomW1r8kDKskJox6L8pHXp6wgmzmhuEGB/zHf/j33GFsRTbrGeVeMPJisIsxd+yUibiLpm9//WK8zwknXFK7FjxjRFdRadlMxWrEL2k/ixnicixCjNZWAIUJwshcIpYs6LBGDFJocSKstCkZm+MEkCtQRvLX3XgycYrNLp4EQOVVydyM7hNStNDoTpZ/XmVSqOau5gCiUQJijdgsbQ9YST4tPj0aBY4jgh26Z+e4fPQI4JkVh8+ov2eNtAB4BsykFDygS+Ra+zeHKYzWOOLZB3tfjZCzD63AxwvEVSOXMSqJVxExSLU2dBu2iLYffJug21SxIiHMzCQt+mHfXRiinYDNU7jhlMJqZQsIXLQjpHfveV4Y0Almixg1Y2h2/i9Pw54SzjmcQTOuSeRK8Wz+w4P/1hMhgADJrMrHEStpSssyMbljvQcsPPtKbN2qVLRZQEfGwEWdlzTJ3W2PzCZvnK4iCuEX/aAD0dLsW/dWphevgn6UvDLaWNl+aBCWnpc8H8TD4corbcmvpv08BH1JrhNzmeHERjUxDx5PkIlzMD3lcuM0JkDEVwZrmk2ohDMZjLIgkD8iqff6CbLjZkkAeKJ8CnEShU7BZD0GdEHYJJ0d8ktgY/Y82udjOab0ewU41yMnQKHV9VrgBEy12CiCfDzotmbqajR+S7EfT5xcSuCEyGNQQmHeaXxZecQt9Zp4CzMmYh8AGSANfU41TjC44+O9nKoDosH2hAOZh37l5HZRsyXJqJoUStmoVcfkjjQ2Krl98HLjqTNdoR8Q5UoU7l6pTxgZIcNKLvZIJeWsFym8xfMU5JW2ks52k3o5ybjEjOZ6AhDr3rTcX3xSpcfLTEdTCqcUV/CK4iynh+TNVRQqGlM5z8Cv+KweTxku9ItJTuzXT1M+L36QLlSRKqKEj3M49O2ihyO/QFcX341voX/DCPfTYcgueNIqn0U3f1h4EJB6UAQtYZWUFa0gmbDKNY1SIHHdsDcrgqmVLitCKrdmhpDWD/Cee4G5eN83UXclevNcwSvZwLEnWS2DpxwV1z61Olumsa+wBxKKzrG7fmXj3ZtaRtTTBA/ovM89wK7tnqryNInVuoIYuQNjgeipgZ9Xy1kfJnUuDzkKYFg1g6oNC0vcQdCavDhxqeMrlbHTgYU5rAgUcheyUElwz34QFNVjdzdlHZfxeLry6JYjt1PRrGNaE8i0Vpg5ad8OoOliKukDAA+S8J2AgdssqEfD+IhqX0LYcCfB2NZisycTEjYecIqHYDFxllEgW4AC8GiUTPK9p4fJ7WUOpEJl7fZenFOztweoJ/w1q2Cpii/RXE1FoepiOs62xhcTvkc1YHH24Mz/3S5Rrx13fSLP916dzfWdsdA204iXuspE3OTTB5aZJU+xXp2rqYvhMqtzaTot7DR+CzKORWefichYzM3aT9ViFNkBurcJIwRfsxSrxATrE/aSKajcnxpYuDfxXJpxxZLt2Eaw7hiD/VQpsjwpXBfMTRuPfj3W6OBMKHsepD0Z44YbAPyIsBB5ycPrrw4n+62er2RFJ9nRqEeuhcqxQEN4nEzRAi7shOeNRjPGqAfKXJK7gs7xn/7xD18zAx722hY2A2lfINTj+K1oBwKaPirbyRJaz1MV66lWzYMCfNbKnYMwvNGDHcJYSJCr9F7ExLbmLt3K1bHV5AOCuYythJaCR6VfFu+ZLJ3lVq8KzgZbKbYxXXUaw+qAUpnyaNeB4cNTIF+uenXZRrrrTb8i80rWXHLLvR75GzBuE+sCEjci750YTGiMeWwXSviKnsznAAhxMAZzj6Q1k2wLgwL1yH/IzeSjAEtdRHxhNOOOWdQzc2PAYSbYZjtxczzmjQeDfZD1EIN7sz2A8npJHuFdsUVXlmeHA47dtJDVtxPZEbqkLMvs9tq2UQ3FlLhI/Nc8ml0nOesbdbLwwHNSa+uP8z+RwHRaKWdG0FQ+i0/ULb3CO6bHIk0RUFdb6HwiLeBFgdWZTxbPS+vM+pQ31/fLJVk4qP2JnB+7OGsijHZ+6VYZhDRXSVCJK6IsP4blJHeMTSuO/+SFrbskPw9QhzV8glGSvrQ0H7Gen1oejCv96x67qxYWryIzjaXaRc/5xQE71c9LCWYKKq2DtR/OcXcxc/WRGawD6IXtKjvCHRfPTS5DDtDkNEeClaQIbgDZ9YXauPgLwVgpmw+W8kmllqqJwHm6t9h3VhVXLJQig5HAqlzsHt2saqDGF0h2owdD+Sm2zPJRaFsrzeUDWOYtEFg6ZHReXF7NNKulqu/N4jkvn65ikce8FZYRmXHLdSXOXLuDw8vmZrLm4dKo1hquXP71FII/m9MWmtS0Drsc3T+wy0EOmWAxwiMv7FidZon2rIlZ4YyvwZ+Omku7jt67rpyxruTh+9qYm1TsNy9GMzbvp98cuGYF8iQwzR75ZfiEMRsXGhiXOG+5+Z55m5Z0hLrffl/8W337628oKtLwO3Mx7/Gf3vr1XT9eer9eQ7tf5rfXt8/Xj/rwR3T97ATGtkv1Lp/qKuI0uhnNU522QaF6U6gDyKiVaTifQz/c/WzDWBoTbapcMs2he7lvG8+BOXYvK6ZJxrpF9VAzU+635n3HxH0bqk/H5JcoPA0ox+Izu6Jl7LI7/fWkH/tNAfeY46UinlkmY2O0KmMvuonAzVHtbUqUGcQfWHwu8Q0VRHslj/BsrcmGmiB/Hva0xBfLjK+Ar8N6d6ZSey97EhryyKIFHNdu+HU8akKF8DVYKOMxzIUJXh53I05SFVTpvpHDaznM8Yk3OcpIT/E8v2TkHiWopmX1krZSnAPwRb3giUByNpsO4ot8Q66glGfxeD87oNRkpA142j1ZJJsDlx6thWLwvieIG7JgUcyIezFhHqzcGFTqDi9KuWUUnVzk3bVu2AWKulliFlqZvQc9S1l1e6O0VbWyRDf4Qon3uFt1oGhH0wyi45JJHGS/VVdDQL7d6pm0qhX89PK86mU+Ij5WiOu0q6NyYvOJgdi9OkNtbqRcaQrW/WhfVBdTpDSjKHZdcXE4DdU7aBCPR0Io8D4SPsEj69pEm/IVG6ixaP/mucigu7RfEeNl5yarbDY+ZvIiN6xERF24H0LQeWc9xZrVgYbQyMWbz/aR8nvHvMXvZh5hz3KQeuT0DIlDr/NuATLY7K31fV7PCNEgoqkx//Ef/v6ZPV1Ja8hOEqqHKJGHu+aHjgy2mFyg2h86r/zYTIBbtok8wk24qpJ/R1N0y65dLFa7ESQr9hIlMiybfuI13CzYgmro1ZOr0Fd3TRYaDXDfmtHMurNWvAwu8thayyuLHMKpDmBVP9+hsymBVVV4COVqlqtYiFdgWewdTbOMZeYZPKORHACW1gSKxwqCw+Oy5Hc4Lz8gWXjOhHeHFQEqIaVP5wUej+Hj9cAi7VJuB3Zv1FMY3MCAXnJN/rKKmFu8wcRRuztbLW0uZQtP8J3nAdZi0DY40X2PwbhVl33V1hpUnm4vLfmYd7lMWDYufs2s4iMECiOUICESJX350ky3Ga4l9l+fbtkKVTHxLgUEBeyoZ5OAUxF10UWzG1pFuksBEcn1JoLaOTnT5295lOEu100RKsvwhu/mm5g0SK+IO3CsoyROk0/CecNcpMqQJFoeOCK/QIqRocSXb7KTQVMkw39zAZbIpZyHK2U3cF7QKTw5mES7dw2sxaIyUKZhNw8zKyHgecZgdnRj+NL+cON2+JCmEIuPFkhy9h51BUOHbeZUUiMDgEwe412bw2SaFQS6etfnkdCJv1ehJuSYMt921UBRjOa1o6FrmDjJHE4eqOuJvjWkoR4VHuXxb7gSgXuFCJSM5CtE1RGCyVVGrKr1KE+T6eQEpx20a06x6dfpxnl94HSzke4g42bNH4zVj1yUN8ydZkJSWdIyYBJkexVdngxsj0oZSn6K+rBUalf2RCAiA/aSDDEhBF9JlO7yTjIfgVFETBUHGqPdoJdGi3fUMkbIyfOpkWbeMHVdM3fkEQWP5Lc/fS3a2DAjLoKd0LhwlVNjd6rp7ZELR/zwx999//73r7/5t99++pvv33/v+v13PmlR9AvC51v40/vzl19+/ZP/9Mdffvnj/eVfP/0vV78C9xz2x3kd+JDVxKGvei9zF3maXThPaCxrTYfmV7dUDQdAb3w+YhtbKH+Ji1yXoahSkFIPmc511BIabMKzcYPE6M7YXb62PZDG14JK42uMb6wZCoYCFevtqV34ErZF8Os7DX2kzB8QC5xKrK1VkuUo0fJnhlA0p2twCWDKR9QxzRMZRMUDF6sMbrJkM5+Cg9vcgxvL+yIKD0yXpZOfaXqxvwWoVnGIFQbEypXX2LU+5uQx9NiV13HHq/w6JODDNm0Pnzt5RS4ZPSCHzA22UZU8HILThtCoW4nJyO0ZQCE1jCocfP1YezJWMXU8BulK5jKivcRqBCNxTXhFbNsufcnegh3Btfn0t7p9k25H03wv+gR8CSUBxL8BB6oUsBjrfFmAFqvrqmjPRZF1ikjzcX39NSQaIhQKt/AKN8WmhXx6ZhKy43RAEe5oibmYQJzhYWS+tKnr0AtHtsjntkJWb9RKvvDAwPHI1QbPBG/OXniBzvqWEcFy7DT5XnGN9h0+FL+UK1Crjt2TNWEbLkSOohgcYVOT9ZMjomVd6aTIFfAMG3YNVaw02hRWsf0IPgjyOj073kq7zMLmb8nEj8pQmOivwusYQU2DRP0FYuyvDsSd9vcivgaDJRopKMx/japmc752TbQXolsJH09FA7dJnnhOpn/6h7/fsR7Ro0zGcGR8yPjD5UjDAnDf1MibNm3oWTj4BNA9ToBdmmp1PvnLO2JPMHdG6OxSoYNYAGbML3yas770YMa6juXr6g58N+u39r36vPOe0lxl9luxCUtwB8nxcSn0jFcJuhI+ViQfkE4E5O4OjnRCnFOFUyADGT+QScgSz34DyS0y6cOKjaRI96a8BmZlLPIKGFLg46qNuPlxtJQwsYfu56Dqjkg8kzZ2Fkz/RISYq/zIhYcVoQHPG7hgL5e1wTO/DYkYmrNaZvQLfCdp5eYsQ5PnQV4Ze2WxiemX62EE6svVCyaVIEeMnsCuxSIislzQZaKeZjtdGhlmv+gxgqPfsphyBgMzsVBv3RyyUKNLckwulYewo4Mo411frtzmIbiC77x/PISIw9YSAWKbfgFacpKSHtxlMb91aSaCMCmM2XG0pIqDxSY1CEVN0ghqJ015s5xhDqpaQWiQ8NZGTouE/8QTVhViIHfGddRdGDY8qXBD7v9CVflxMW22q21244KrJ3l8S51mPjKnqJl3EATyvi6umafdWX/G8f+dx5byRC9FVcW9jyc/vV9NKU3PX1ArrybrjbLFbaOoBt2JFog5LV6b8VgjSJoJk4NSTUcpFZpu9WWysgguqeFrWxvITllSfvusDbThTjoNauz6bRJ4db52F+c0qz8O8XoFK0OhTxzzhwUX+3NmlcPiGImLIThpjhBYZUzK4/zsHvEwbp5CFuYKmBsxEJJcxW54+Bh9An2Qdeg9pRPy5V2dZX6FeGQgCwGelYuhBFYZHe4T75kRoLjM74wFzKcmNNubo/tpvc1RPAMDWVrAXAFpYRTRqBeqyQ8SAxbe+nFU5Y+/+fjdv6u//h9+97t/d3762298uT/xw0OJE+agXqejBJXB4dz7+f7x+XP9+C/v/+M/fP7pP/3px3/A+XG+1zmvOhAPXMUfw0IE5capD3y4usiKaSSD0iJthZKEOvA7BGlVApYyPnlBv4e9ZYRT5ipGIsiIRCfiRBiogaLU0GDiIGNLF8bc0H6+DqW9QwJXO+M3WUniHEwHZPbePKpF63M67GU7ONHsa0NEKm6VVCLUeEJVCmxiYKMHRqlPRe4XJfr8//HIq5ObzoSSIaLSNUomw4tQkHVHoy7QowMp1BQIehbNTWA34ZsXyujY+0WDZ93OmW9YAd2qvAEyToyF2VpgNEHTaW3eH3dfMNIjt4HDRLfl9iB2wBI8TNVrHaaArp8cwyEbA3fizJuQ6vEIahmi3K/et5WGD3DtWnM+8gRJeOL2xo4CYoKAI7x3VI7GTVFMGmusylgNXvmQaGZgZgSfFzymEas/DW7nIFd3nXeRp7IqWrUGs1MJEYmAByR1XJ19mGR+wVpIMd6G6o4HuuC7xpKSJxtATiGBTdo6HagVEQlEOxv/ogFsZEQBF9WxOBDj5/kTgIvo2XcmgTAljJPSIWtvXs8kcQGrV8AqzvmsE4OsFHjYM0O+U4sc0vkKswk7En860YHcviOnx4qVhRUhUtzhe9bx+CWmicAjM6PhhHhyY3VW8pvPYWUH3DnbCv+RxEsEQ84V5iVU4NBNO+Y59rRndoobMAWLZvLAQP7jP/0hFXl7gCWKPyNArnnvxgA9fzkD3rLeQTX0ANjZrlb5j3y93JODJEPmtNf+AibXJcptRpCxXQ18NMpuMNmZhxWAwAYSB0eQ9OjClATKdy7nc67x476dRRxGpBYHjjSpiJjQlzzNXZrRkAWhD/EkOeTdhBoMH0Cqik2ghu5I34pkeeC9qBG9QANmrxnSKWqi2w4Ftw0pkeli6C5iqMeSu1N/gn2Dz2Mv7iAuGzL1UGMoesVeQTJzQXRMXmRBWmEqzWILs/pykjNIKx+5YpfIhjE5tvPFhaVajUpIh0VL8j0HDclNsZsybaq0XgvPV9Co99DMKBmAAfxaqi7Q6foU3HnhV7C1RPszU3vnwWc7dQIOR193T+7w7mbkfSy0jDoRmMXvmQ+80L2UX4xYIUTCozypdkvQrBhoXQfK1f68HulkIaMcWbumkhWO3EV4HB5Ycj2P+5fre2ElotOa568zrFrz1FOUe1t240rNj1VoM3NcQJfsdRUGAw/HaLEIdhghay/oyaK6W3lwOJCiKsH/mw7mTVWP+WGIeCUXbsnHt1n88MXGziY3Q9porWin8Nu6lHV1H2DC4AFFl3mRJwCA/X5D8tXM9UDpvEXxhAIeD1RPcHpeGjThqfh/fAcxNjFrLRM8lC3QmiwfIkvNqMSrql90v9xsEh+v8+qucnc1fNMMyEU6X4TdlOYAElSDa1vKp40J0xIlAYyVhS+1jy++j+GH/KUsW97QxU5g5QVOomASAFRgnYcG5ca173/WXLMM9iSfIuMS7FxUBnbEwUni0VCGZq4sWMM7Y/g91pQ1b88FpZnhFDb9QVCnucD1QbzAF3nYH0QFXWTx6Nuc7/r+N9+//R1ff1f1cWm95+rXj1HhYu6VB3iXP/rVrE8efvSrXu1vfnV98Dt+fL9/nv/2H/78X/9ff/7zf/ylfu6f+hvZBwA/B8zM1EBmp9Nl+kVUnS/HOM0CQ1ycggT0FHeZygS0ShTF62ICo4enLWAmh2yBcTyPVBWitIziWJXcsFyjNjhRvnr/+mZWElxrxDvySLE15sEonFpA7J0+/eVbjiQxYCL3eAhYrSjVIA996FER78cg5g4tlsj0LAy1UJrHRXm6erQXROpjN4+u5G7eoQvHC8c4q8XseQDHT1WqeSCFlSsYfhxaCt/ZAdeN1MNWwZTRCByTMTNH9QO85++KMjWWFk+z4ORSxtKQG/FExPJ0htOA7a5+zDnJmLNcpjuSlrCCZHRT7w3Ze0J8YT7EfKGcoBXhVa0ZkCkJP6mogHtLQrUG7F6WxU/XpzkSTy7dIKP5nZPTy+oNoK5EmcTK1ntk5/pwzYm56OSCHn+gQSZOVmRNuvtYD9MSvIwuPtDyHoXRfQTxtlFIGJRmsh5juYBlBoDoHmuzkYAl0E5yFHYtws5acV5joTTfDKIzcGRCrFFkU7uNA6kED7Syj1uh56nsC/mUp7Rpr00LDD2TcQAcz37l0F3reqJfXCg2iK2BzweyZHSUm7kkGeFYhoj0hKDamse9tQUpAOIXTqLJ85aA5ticp5kt5OngUX/uyjbPYFgUVAoxGnOyE+0AboTPbmqPzmBZLZPmP/zD32fR8wKT9XBJQOa5LDWZfEL+Z3LaW3LNcK7Yuv0sT7vQPW5LhltOnkog3YB7Ee8CTmS1iYhSqrPFWcAhUO1EPpeLq08s8e2backxB0t0zVjUfePzfe+d8XKknFaJT4WqU7bYDN1SVSM065ENFIxJtXgeYRnF08vM5FerkosHJMtUVRXyEkrpK+0UGHemzyyutUPjLloEh/kJH7nOCmSywaqWBlrAXuMuTF6v6LCf5TlatpikiIzcITSAGLk2/BcPNhUkZUxEElLwU42LRjllt5osSdzVdbKN+OvsFOIJxcNMbZ7J6keNXYXTSt76onTNsK4dKcwG3uU+Azsd7ix54KLyB88+82mp8hKIeVjjio4iJ424aytIKDHZ1cuSbIImrO4El+UBpIspDzm9eu8Is1ZXE73980o+Cgk+uiXt5v7MU06kRGgeG9VYvd4T9uR1j3lH9rxcNBJOnjQwB8J/NJGpB8AR0PQYpzKsRiP29Lj4Oa12os67V05eyYp59iyprkUzo53jF85ZqR3Jk5/4zqo0LK3yADHFI6NFQj7zijhwGld79HAgCd2LXiKIKojlX7KNr3y2N1PJz6Zl83owTO/S5/v+8rbnojhjReHYgLbAIq9TFbHdU7DnSWfABj88T9xO/ojEn6PMJc1yHpz6QLE6trYXTvdB1XGRq34MhZdO6pBfGdXlgRsaH41I777hHtw9/hRYJ+YgvbN9CpI20UMadyfWPh9qrHNC+KB1JpkwqvOlVDEsuzdjIAuXSnhndNIiFs6x71UcBmzLkgbKb2t1q/aA77dG/PV9oXlfyE7L1QyEoThcNaV8p8n2+Wie7teo4QabavAUwNP4/P75/eP17fcH30C/x37/uPcaxoXwbrre9w2SF33gN5usV5vz7fup39frb779zd/+9NNf1cv9659+/Jf/5x//8//9z+//HS/8vuGCyoF221CR5/CgSHWxkZWwep1YeQRqr+hQuLnhsJhbXlz4uUGX3aaTKfrOlhCV4SpeQW05hOuNzzCQSMhkBOQDwZjnC3FgW9oz9Lwd0ru6b0h03/Hevn6UadrCltrHYXlHAmNgmg664mReW9VAXY4j0amAOMnL4nuXyeSprYjoIPMrJ6/znvaLiCJJVMksh9CNgVMcmQ6kjPswoFlxpuHeXcQo8h31Bx4Ra0FyrqUVeea9qsBzJRsrY6ExFtxdHmNQZRRVqLHFV3PSjbDQsH1X86Jn9AmqVGxIQF3eBCYFvovZk52sJyFooVxVYW0Wd/DXKxdcxRnx7C/IpwnLnRCR/Z/ynoaPv4TY71Mum80238DHEvj1VaNUwpQ7w7xAoCCIjRoH7GMJ5xm2QdAN5MBCJtfmBt8ELTWmnijhXLNexIx7y7oyGKzfp6EklDGiZoTCZ4Y9FokujNRVtLssnGeHy/qTfTOIPrdGI5oMP+U2ORFN8/FQ6SniM5J7iGv3osVcZZm4I0BAe6/6V6HCNo8/6Csx/dyaZBV7yhixS9Lj2DQnuH9OWCtCzsCiy7BG8Sb8ZdaPczjsoBsmQjsVUWP2qh4sXLzpg4wjibwQsBRCYDLwyXBGDht/2TYDHjFkhPXECv7jP/4BCw45s13wglAdQOwOQSfzC+54utzEM9blL+5gtFjf2jqyAgRjbAQfjATczcc47R2Z0icVYWGGc27xV1fUDXAAqkytg6HCGE7YE7sUc+n4x+d935viFQvFNgbsOKpG6CZhjetw4Fed2D52KmdbFyQrkSiwwXPKEi/YnScE7MOEGpBgeVVfGaa7YXVstvaXjQKdI8ryyh4i0+Bi3RtCsO6mMJqOqTWD0BPvEzz9QQT3K85hmVib+FiwJD/RET7QhaPaQCkU4c1giK5aeIDtcJJe8ZlXG8HYMg0wQd8LS+Rz2m0xie7KA7UyrrA2C3tXFbwgfQBsPPmNK8ndWXT/PV5yIbxcqMAIUzM/PwEQy1W3036jtV4VUNVumIdQo70UZODAXsxihfKhhknbZyMXHUcpHgFOuYRRZrxs1pqQfk1K1jp7ufJcCz6udyTgkdXNJBABj0dkp+3gekHH9n3Lf/bS8hKSo1paPPM+n+9/701Y7DR15GILASD0iUhPi1ISIuPzKNE9Wb/yIif+GZ18HCw7uszfiopzNOX7fVo9Ch7EU0JvKlEOkvyfYrU8TYi18s3kOTiFjaH8IHGU/E1PsD1o3pzRW/NQVHzTVfQkqSWkUmCxfXuyu5LxMGqdPyEGVq8aTcK8AoB2YDAT9Trl8iHqnJfLZwh2dwF8moBCeq/sTVaxv4gwYGaAiCNSqxcinDGqRf0PslzDRJs9OxegWWtln8LjJlkqmAIg42xmYYC1IgpUBcEgcq8k3IabvSWA43m+Fy9PEtBgSaqCpRUc9ue8R/Vj5vPHvZofcgOfA917w2xXaY2uWR/pAxz3d3+crm69lNt7mhqhigdszMftVxXr+vqO367+uIPTvEc9IKuNK7+qpYv3tzv3PZ9QkY26/saPv8Pf/W3/9O+/f/+rb/35V3/+3378l//bv/zyHz/x60V9vMS+Zil8zgAnaeQHL9YLxXLnJCSY3mlsDg/iegTWg/Fop7TxuztKMhElWVVZ2DwpWma2SqzVDa1S59UfKtc/lJwaboPWahEYadH9HIBv+y1bKhWYFiLk4tofYSIV4w4KXEsHgJJuASsDotHmJbpv/agr2FOm07gYSaP2Zm8ymUI4pMWNSQ3CHk97PhjFZFy1rp+QeXz3VMDZ3beDB9v5EdJfkDUJhj210v7oZ7QShOCXX6AGjXkmU29y72yYwnZaP8ohPjkJuYjXq60Ngi7MsFJSGiHOUmU2UbmNAn08P7pWWBM8zRVuwcRJLGi7czc9mu19w0J+r0NnioSbmKnYAQ+2zihcU+QnIrr3QniyAukad/cAXdSg4Sa1EVtdvkn6b9EqpOgTir74RD1u4YBjgoV23TplGeoOJLYjGli7p63DL8knxrP3JgIYhfjlxMX/sMhPLnwbT8yIy42qUK1J3yb1VYUISqrUHWDBvshoFL1MVFmPVgWE3rfO0Y2vHTG2JU4pn1Y+ys6cHCa1QS1/P1q9yfLm3IHqVPTHfIgqgE6XXKQhofi/rrR9fFnczp7iQ29X7RxF85qHKwNFAQr2AyOVS/ucgLwJv48yYsUg4aG+WDOaDmKoR2JUX91TImo3ZO8QT1r8p3/4Q54HE6cw61vN2Z/dVZkAUBxkeMwMF05g4TyUvtb/LExirDFfrUF8MFL7i1TIeDmFHiJddkbcJ8HbdlyMfYyL2K30AACUjKc9+7RLi4Wue3XvzKd+fl+nkNOzdb/l9al6UWR0RIXMj9EJHI4pM5tuohDbjZSLrNbETAAMCFd3Y7YCuUC4KyWWTFVgKBF8Qbgm+B5Eeplxu1Dpmk0YauW5yO+bWnUShdaulo5sWjVkhZgEdz94JOcFxLhbi34+l1UWrwT0ZJd3Hizv91Ycsx3WG/ttY/8naKjt3yQTi3KE5HzC9rlyNiECKwch5VdjBDHLOFetvMb7hefR8TjUkTyxGT2kXYLmZiMgAAw3JyYG9uw0gtwM31dIxwN67U52sV2gKpxO8sNSOBeON3DQLvH2ViLajjbg+WAyfHuX+ZTbrlc6/FTGz8c4kWyN+UQX3ovAdgWfdB0UqGcZKE3+lAWz198GEGLR5OblJESma8mZfC56iD0ycTjnuXcX5Qh3YqB4ktLfhilTdRuJIA/b/SDMyJGcRzZSSQS1wxdFCj/tXQzDvEfwLjCEKUxVw8m7eY6FqieqMusxrJqR1t5vGzLvHcmjLOxzZ+BWKFXXKZTbfQukz8bL1VphEo+hkawMZBiwDivgoFV4sbqri6fY37rWAKfySbVJNKfFRsUcxujZtFjdUov5sNfelccxY7egrHtDt2jrLuD7nmm0kn+QWJqghk/AKDy59Patr9TvNV/mYkz7OuXSQU02OD8UPUgOphTlldvhTqtoXy97DDrGdL/N9/td02+978znrR/3vuc9oIbXmhnXCe30nosqT7mnUH5Nf29+8HyvUzJxD0y7FmEIfOAKrBqZg8BqloqsqjFOxrba/niZk/p3JICI5vVwdD0f3/Dx1+ev/s3v/s2//d3H937/6fNf/1f96f/zr/iv/f4h9OmZbmOmTh293H41DnCqu9lEVS8VCoPJQVdH15aJlwjjaw33JqR+o0VB2BFkrDDf9TB7jxrP9tPTmmtOi9NnL816ivBgNoRZX0DZN6Sst6jYViLiGZUsKqVXIRUSPKF68FjCZFfJbqVXFKT9loXIiBNutPBDOMoGWQceFtiH8rtGjw91uHMHU1y/9L8WsDCqMEVEDIJHDAApU+E2YZd0kbRy8DMwjxhTSTiNuJ5T8GHvNmuZxm0jMsoHOWOccacxs53cgYgGcrlv5lkDSSBu12T38b63C4ujLDY9qCMs91yHu3/Pb3A+jEcmE7BdrmNMuZGmwKpVi+V6wc6DomsqlKVTPyra65sCd0JikCxF55HdJ4tMOktLXT2N7G22o1sEERi31riZezb0VD3fXTB6PFkkzOWagdPFqryZOfHCGz/YD1Q/SjuAZrrwag8IRsjAiisruRTkM3sE8y9UkBLE0ZrZg5xZselEnZpyml0U1n+GxJMoJL19i4Y6GceGar0jeD5vsGI9lKdZ99FF53BE0cbZ2Xr16fQCn9VJdpKVommkH69cq7zf4FAYJw8AaCSGteiYDtcWq4XDvKECLmK07/Io49isjYCrn07ZW35ZxEVDwDWBKHONZiRbdsBLv3sV1XaR//SPf8/90qVcA3oubyZGEY9mb/HNL4VGLUmeWdirfaSRR/5x3z7TIpc1IxxhW4w+iQCoB4Jb5Rg7vHWjXFWowtAbQbWSQQLUjehj8BARBK/8atoe+fOt96c+R2mTSViIHp7E27ZgEx0MVXZv/A7Bqzy1sBuldI5XFdqFc+BsXezuzIecvINV0dCx0c3CS7Ux0p3SB+ynLMXiood71MAJJl0w1Xyy0g0eA9WiAo48lPFOADlIIk70Ih/FjQGvZ+va8HXsyh3vbuwjWEWK9khy7SKexNtns72eBqt6Qn2Fl1pC6IEE8vovEfBUNnnPqlhmNkxgJWGMDQF74OawlrDGF+cOM7GRENhwpVWdmN6ovzyo2ejgdZzXI+5ISUX2seaATYPdtrqrwKxb+zDCxVYqNZOqJAspCc43vsXYEK2IfSzMxvaxrMnxkfE2r0N9Zec+A/I4+ViubgzPkmD5AqkS1TAksz3auHI8CY8P9budfoqqFJWL+WtwX5M3OtYjg6eT0sWC8lpzCZwinaYDWXz87tnyRNOWqgU9XZPMyE/FJNfstLIjvhTAWqeU7BcqirSll/IkRAkb/N2ySvbIUmLmhbKu5u7/bcPCwLhXgJRxYLq6CqcS7Y5XgJ/sVCCE2ytOmpnNBt2iWRyymx/n9Avd/fGtT1bnAhLDHQ/KNbp4cMiw+DG9VKyQO/rsKoOn1DKytgwpmxsViO0FTBZteHxz7L/TcpMXpbyK9N05mQSAqGZRoA5LzaARArsmKlQO0OtDi76DRV/IE/3brtqxpg4nWYplX6x+Un4L9868ee99S5+jO5L8NkTMVoEY0mQfMlqcb8PT5zv7J+JD7CLn81ott+0mqzt9v6o6U0OCbnYYUQNQ0eg6wgSYKBG+BgsaC3YqcGSj5zWqa8I/TvOnv+JP/6fzu3/z/af5+Jc/fv76/55/+d/+qH+t7/M6NeoB+OEm3IeH1ehXsQ466U6YwityOdQEgMNTG0KQLrQ5bArur7SWXLVRSpJljZ9wAXwJi4yKWs5OVCBguEOKB1QZx6JlDZWcMwUaHHAklnvS9Wk9HHjmp+jAB2bvIIksfyXU4auZRyfpmxh45lNB2FuGM9UaMzf6vhyJDaYbhub7Q5xS6NyEBUWwss79oBCTCarHjyQzjIYfr6NMJkx06QFJbFuzUSDbUKIdecyDL/mE4N7AOCY+cpaX3MMnjOIqejF1kr5pCrcfCSQgTFc8Ui49rzPKGTIe2gBCdT3+p70liSGrxoVyq0zUwUwkh0l1MNxVBMV0kz/3ZWSb+1OmgN2okqZjcE5KWBCHMEJoruHD59Fx5qqu/X2dQXtdZXCvy6kIr2kkE2fm4CgCvDYOkhspTVVo8UG3LioeudhJ9onw6vVtDJdBxlIcwX/tciJ5qxZ2iu3LCACg1dlvu2NYFPLrsM0QLkd78Ghroqjl/v1WINN9SurBJYUGgnNU1f4fRCtYIsCnzHv3PO/8F+RvzM72Ux36JgPTch8zjqOQChWx60kZXCW+18EWGB1WGfMIge2HOk5F0NLfjt4g6pbA1bkzVi1DaeGTfetp0EnxWsZlxRpRJNZKp/KiWGC1Lf7zP/3hGZ1IPDrQneE3aNvZcFhxfv7mJCvux+YKgo4HCdmUtHnSVozUIHJnokaNJhuZHigyRlaPvLXejioTBVVS0BxWL5rglq1Z13z+xZJPLPm44XnGum//uDOjuUjKN6bykRZWPT7O5p1BJvtPQRIk98nnFola49T+nX0aWdV/07ZF9+z8C0h1HfK82sXUOncfYEkFXl6IxUr645dnfd5ZH7/UYzlLaxd2pJxYXylP64lncJTeDSmUWdWIW+9VyGLJFdgMQ7iuWrAAwW3rtyTP7IJfzcQ76hv12HyyFWyY264Z2aSIcmqkEOiTCCG6/IROHtSiNw1XDy6xJlv7lkN3xM2Vlz1L/4Juue6aZSQELIJZKK3OAappbsEXqngatc+YN6i1VEgzd7ARr0Q+O3aWBzWfKPlgPIpZRYrgY2bueOe4r3iBLNEEqpwI+bR3Df2QLtzU19R1nOi53YliKBhuWRVpYyjp5+fKC7R7vrkOm1XnkJH96AuIwafR5Y6nlRCrGujqgU8AFyfyxYVzMU53HPOVBLPjEB5FtNrOX/iiTEgUtwgk1/nCXEFrivuwHJzhTR9FwpIEamJWl28pGxXT7lEeXcYcGdq6/J5h+Q6c4I6ELCSukV3NdZ5ZeU4VVW1DQVFmVgkj0K/zOt/wcepVr1ejPyqI4as6Jz1o3R6+PSvm6pcPK0/QWYoz0r4JfbWKsaC0qNi9cq9s6SpWGzTOjeKRBc2NnQ3WiE9ccujOBFzAeHKgqoqlw1LRrl6BoflQLTGlI+EzjFcgvKkj/50vD9ENyz5jYjD2jGS/R/ft9/heCX5bo6ix8JnF4e5+I8uqAc5h/V4f35q/Z71E1FDvG7BfqDbl47JxAHZVge8m4wITxBriJNHuL28oqC0M3uVMeFIBCotPuHMyzvu6XD/Nx+/r3/7d7376/U+/4PPn/+/7z/+PX+5/xHd/8GgwHyTBajTqW1c3CzhdrFrJ7WZHZMaaFdZ4ocsdbjKxhJ2/VE10xivLwRd/iq5FcQPM719eOYWAymCj5L4o8TdJ9cc7IhY/B2zGJghcS2RaJ4PV0LzGB9MqKrLVPjnVT/SGUeeublIXb9+8X3dsaga05wE98FQ+OdRwBZTZAH4vWBX0EU+JKZzhbEN+R896GjhzKlih2VWP6tuEDJFi8dNqY3PiNl0vvgkKjwsJzwmTw/G5kr4GlQXjN/E1p2R587cDAvIhpCsVmLyxQBvCtCEucAIZJ0Dmykh0iEQlk3RtY2LXSXpQL3GrggtHkckbHdP0zujh3fU8GM+haR8z30LZVjcdW0T5CdinvjTVLD5JHQyaQjag8HnjgRE9Q60qaoE+7BbhRyiJ/VmIBVYT0pIkmQoU5HDKmWvhnhIms8Reg8/Vl2nidJIJK6szb2bybS52UOJo7EZoerGSJ0MDiKSp5MHzjSOk80p29Dif842vzIsVnVzmG66MJD/VRJCQeP514sJYGJGh6hPJ3QltYEQm0FAZTqWdFEJB+/lgE8yfpW3p4B3wRwjOka6uaJnJdYLPM147Pp8EMkfXIzgj/ZMd8Oh1AvnudsSdUncwD1n0iAFiajD4z//4hx3an0nOa1yUE2X+7HoBlotbIUE7zp79dPWocx4+y2COZVdhiJp8QnlyckCkSqsejSMGqsvtKk2kUXpfmNSikBxJYc4bL+vJH05aeh7E3LwLRNxJxyfmajQw5GX4HgvXc1YQGD1ISWo1cl8n68m93H4g8+puUBkTYICFvnC3HWa+EdKsX3C9eIqxmBGuam4kU4wacjimBKvP4y/zundTalJnn5NayjDnRoD/JBRmDMPGS6W+N4Ie+sT4FmBw89MDSSxnGQItTiXsuAcAV5GPG+MHdAmTCmbAzDdusTDzF6p8Y5df8kno1S40z7jIL+OLq55yqQwvySt6DD+5KsfLa+Tf4dWNZ6w0kW9rj2M48ZK5Aroov4KZLI6B7TzbIyma9VL6pVN7gCU2uJLCZxvjyGv4y3HxvpZ8E5bq5/cG9JxHAFgtqxaUKkros1O8iaNgVfuW5GfnVwy/oQphlcEu/1p9+Zn2TGz4DQQ9sLbk1MWtdpc7q6DhTu2jhBjnEiPLlUgu0s9oXtZ8EuOUjWJ74psO0JYZNZsAdmXMDRc9mPZ0Cf3UzcXfhZl8cpaJtVrUGBgNMBG3CYA1kOPZnVG8qaO1UJnVZVbj4xRx3InZYHnQ+SqYIsxVd4jnVae7i9X9+vCrX9kfqp5nLk9WzvnB5yAKa6tOT3V1dZ/NGin3zZvhLABBd9IDUq5JPXriC52VICEvAXPoEamZEBrAapmRjy97XXlkPOYCxi5VVTR10ksg7lAKedkGRFeS06YKc+Pt9V55UZ3MyBiPJIky7vh6NPz89A+9Mb7y2zadkuKBhfL6mWrSIP4NP31v/LXOx8ulKYxmZn8BHzvvYGUI0+nX0D1CB3Wi4K5ycgc5Vaup2qljgM0nQrFTAw/ruWQhXwieihHq+9/07/72nH+nro/7v+O//c//ev/XW+9vL5ovH1W/RLJ9XoXT6KLrvHJIJYXAsvzqxgJgSOwbFjTMSJ13MQBi7ruGuXp0xqyIZjkWlWSMGIs7hYgBJAbjY54XeRoVejHgrb7gbcGD6ljlm5ii9KZpVp6Kc8qP3KzdppQA9SrMdl8bxhY5l0efMzMYw5lHlLmKFQdzp8YOF/toPl8M81+DWEeRiwUvYwrexXUlTY/Uh3A/FxN4BLksl72q1sid4ocFyp2kzXrA0jX1XMY9v6BoZNvkhlOuo238hD+kUo1LX/ci6FgUKly4UDUKiYcTmI+VwOgNksrd4SyuEYHaZIufpY4Tb8jSmGV8uIYX6nR/72FiBHVqwD71vJWkgd6sSXOrnTAk7DbmIHEVRU4tvBdWeUGFJW8ICm+4UEHMU2iRZZbYS5/rymKBFqqfhEQhGVgwKyVmfkZLpHmGTmzcYg4gZJ4sVMvGBI8jWGX4qFxXyOUCJGYFcJU0+R1CRHgmhbTIlcYncD3pGIu2cbeXR5qS+yYrbuWnoh+RSU7FwiyRYdCAMK+4kA1sRVmIvn3C176SiSzZzHnbg4ZoydiQFxNmKzrl/OMRHYeeJ4DNTM9DBykkdZIWkhK+phH/hvJlJk1e5x51Maltxkiu9a8BIZCm5QdAXCmI4OI//9PfR0kepyWWfwjK7OhItTArfpsMudhwINT1PXEph2ckCTr5iEgysOYeywhT+5ziMeTQmI6ogcSwegehQP9ZUgNRanXkQzWapmvWx+qQf4uEELT0nus4MqU7cOLovj4e1Syukt8tHH2wygU29glhZt4osngaxcxSrhwOJYKtVfAAPtVkVQvk6XP66deoAijrnLTTqCqktrbKjaEyfLNLTYEPmr0ajRBWyTpzpWs22qUQAIzyKYP8vqw0E3gfyWEGVEYCiCeGVru5Z4iOEyyuvoUcvRk1UepnCt3tKUNgBvRcaOWKZWsxTZJPo+GujKsuz2K54BV31cnuiWjPbGXWD1RmDNB/YVMWhw9bHT83yUoittFdILpYDAMA0bru6uZGWBdFI1hAsiiqOVKBXR6EwrKQ3Owg8rAx8Ei6uS+HbDJw1xO9FAyTzBqefAha7nq6jou8YdPyuSyblFWFhhe3+nKJ7xdk7Lu2HxFGsxZa2bXaIth8oZBaWZxVJuUPszmFTt5OHQBMd0AOg0iy9hICtnKEsD05ix4Ex4TNubrK87t4nFJi8LBrAT1mU/EI6EKnovJjORnNxPhCkxQ0PTmHAVsKj3xuy68rrxbwajar63R/AmdpSF5WvdhVZNWpnGJdjXNYrtdpnpEqyBNP1/ABNJKlamjek9tDFr59FNjVWUI3RN7OSr0BDl8LXZsTJvoZUVD2YA90AvEHZ5FV+gqiBK55Mp3CEYwZNTJD8daWpqBcjx/GeFBNBC62VIFcBRWlKYBqc4vneBMrIQ/uvb4XsqV5X9/hvfOpESxjTEtvuYhr5BBKb4966ru+/Xfnp99/vPGz3ETdO/fqopNQ7n7uj0Z819yTIfHLcIRKKZqtpzcotU5EEt+w6qgDOA1pGZBh7LwcyTxKpvT++On1+3/v7//m49v3b/eP+tf/+V//9L/c/vl8azRefL1PnaPqg+Z9ne88p31X8LpEea6wYlE1ZxMFK2LBYkXT6K+xnoS/fH05FyNrYiSMbiQXJL2/j0DSOVQ1YTSCgNh7Ea8VZIM8Nsbsos6G15YJswtiHR0edt6MALo5mR3WDPBsEdXjZXbJM7KCuwpDD+a+7cFjCEZj0zLWc0cOr92kU2GVx+7JiQt6UDqRNWjlKCKoUaHUVRkdAtsK8KJaZ/UqBiB2W0Jh2LUH0YKvmdiwhw1L8XKRxFva8MeF7wIuEclZyWBWrg25nC4AReFyv8Vs8w3TdQo2T5zSBHud+Z2gdNy0owu8/VneyC6je7GrKMa5rNGK7MgrfwPfS1U742zu3ACneoJGMtrGplDP1La2fz0FZNl7sLgsCfNqd709zDvzZC4a2ezirNrRX7Pl5htqHspKZKM2P+3Rh4ro69nEnIyZoqknjYKAK/YyxAyZHrL9JWxsByQz4QHkyFDeiCg/NnZijXZYVylAtjm53Fb//LCvOzavfyLq87zKGSIiv31C7Lh6h3yDAeJiSl93BIkbXTZKvDuDZey0FvLzakC89HImX0SHEzogG23vTwzPQydl7lNg6Q2mC7cIOOaM9DhF1TnGc0tzrScJVOFj5cUjGDA3aD0A8c4A+b5ydngZgNkdbheQ1TBHkvzsQrFsTPQoA3L19BnS45tYDgUZx3I54lRNXqgVSwrQKn82BnMJlVyTph9zwlfHUt4zdEUTI6NWw2MbnFRvcdUagTs68yQG1bLeY9K6i7Tv1EnCU89o9UChzvhvgxxjRXQeoiVXFLfkq2MM2bRPeSUjymd1/dYbXeSL9S5UiRjdw+qmXa8G+CrMEGAayEyIajeVUFnuV1nct8SH0e20A0zBgEblYs9KdEwBpyoa0CmFUHukNIm0qx3/DbCC9fvZnIsRWQnYDX7djrvWEolBNOTnCttASIDrSFy27KFRImUpMCGHewEWNQK7Yi/gBsprVSzFgi4jvGpEMe74HdK/M2Zn4n96MTIeVu5mPN42gpOrmp+I0ZhK/XOeMBZWiEog0lJooN5jOzBl7JK9MiyMgpiH6HfU/wnrQXHBbYaaBlheSD8fwEbcMtry/adFgpFrZsOrwriiMxxtq8c+tCo3qndtJat4nJL2ppNIhY6CSFsh+GiKbAxZ2/KAJwkyNMkohE92tU3YrK1k80DyhXwxg6u5GrqSSAAxpdeATx+U7cHwWoykFgQ5zvgQz4hGMxcC773WIUYp+8hZWg91UStWFFU4tK3hC936/UfV67BIuur7q9uFg61m6LNXMAu9Wu7qU5a7KNlWVSX/G40WB6f1zqXp114YfghJPyKVaAax5vQ9YydoAhZ+IR65qrkXNrlXtukAwilWJMpr+SOOjgpAHU4eNFcF2SvwvV9SROvyo9PLzFklzQqvywVwYEhUzMn2BNQffI49Hvvz02/NgHc0JSWUkx4QrMGFcmjHUHzrJ/7033/rvyqfqx94/zqe/CDxNTpxGb01LwhVgeqMCybZp6gEAK+7E3RZzUJ1+cLH34ozBJSg2QasMVzzNqvuG2yS8xZYV8D7V//yn+Afg//+14+/ef3h//rv/mv98b/8L39+/fjYw3Me6351zsgHJs8lkoNs+ZhTXavv/3JipFKAHcXAwToCUAqa6jS3hzTYf0/gi8gm8kikXXz46AiwNdsEccxoBU+KgNUG0PwwDBUS2E5MVfVptE6ROPTgBZscsTkOLksVeQOhOGQqYU51w7YPPR7SgJq6vpq7Inucvzi6Mn1iO9C4cZ2sydTFwOmo9I2Ab3Rp59wmtdAeKjRB4QwL/KwuR1puBUsdN5EAOuY1ZLBjkz14wiFE4AQMLvBVcWITF+5DoboEzH6ApDkI+u5H4YthfWSiZcydPOOuNVGEL2j2V1pZrsJ6YtAgDD8y90aY8OSBgewgAjBRHk+h+HGuxLZUFV2e+fT4WWYV389wcRi7gFepEUt1W3meEioRm2ARkzRQ9nKNhTD/2yWdITbFITy1EQNFTELZCELpSyisSYG1v1mFBDtN4UTum8whg5GIZqmzWMerTgFAvrDkNTlPeFUUDIFdpGRYIJdQrCnBp2MbD7SNKhBMGAMBJUy86eTurf+DC4Xav0HjNEBlLPLDoBvsWswxq3+QwAgJ6FLMELuWSDDFtKQtFsl9z5dR2jtgV0+l0ChOGE8SKTdQ7DpVeLvzBwhYEbJ3eQ9d8ygugN2ktMGbj1qAGZdt4ZFIxJG+mB8AnKSm7KCcsXaJ3AXDvaRL4ErtlJyv6E4Mut57LN9SEhwnEqVK0eiSL/ktIAQNizoKdhlzusu+6xUNPRLRbBnKaKBKlqEQ1u8xYjha3/AKxcl2w5bTVsiMTm4ccPpAkqrLck9da+sUH7qk0qddINsCOKzeRbTYGnampE0VYBEHhCV+sWbc3zYQ8cCgik4N12ejzLlDN+uNe6rY9e76yBb/wlk/Tlr6Fk8yVM2EcAdaDe73VGNBDQ9odReSmLw3aNJbHJ4634WAqjImz/KOJ37gdMBYLaKrNjXJASNkZtQHHEmLt5nei3KFbQttU+CjRsNh3cipI0VIOlr+6OJc44lYwfYmb17GLr9w+E/YfkJCBQf89KgKW+Xgh5gCEbEav/xApI2rm+CqGpgX7nRG0ewg65ZcpXJSeYKOB0bb0Y0hzYPXPKtO7lIrkkrSwFlQhHkzjcRhFuyOBUxB3Iu9huLlT7gfIaKvm2xFrLIYBZqDpBBrmtqFgfnknSXoS4alZRLNMEpfkaoNMmoAEkzpzpJVhsFDGatC4E5HHg94B3ds4c7MDR/KSTZL0I3INlSCPt+f3MoaDXkgLdWe+a9o3WtNot5CVzBJ+eMmb/qU1ggd8xXRVcdg3Tr8eL0+iO/fz+9+Yp/uqupKSkGlU4IoZlsHeDq7I2sBZtPG6eAlGeFSh1F8wf060tiHy8WFGziAaz0iEf/8/5j6mybLsuRIEFM1O889srJQjZ4ZTDdFSCGFC1Lm//8JrrkgVxRyQRnOTDcGQKEyM8LfMVUu1G7UYAFUobLCw9+79xwz/SyM1ez06oJJAUESsejgChATwWdyZQKpDkEpo0PeSC8h3kg5OiNNjcu4cIqGzK6kTMBy2jcRjxtstDIGMTY0lh20wTbuOGjVl3Tfes99qzTzJY2F62t/vX2SJL9c8KyAltaYbf4Jn/+RH38ptb58329+7XUIc+uiO7gTqo6dqFkWcdkdeH0zdPZXjf1WLERPIODF7sapg2PbvdHubvL+0P3wvKteGEPq130HJRjz999HpArzH7/Xn/nf/g+/SvrX//cff/rxMera+sUaDcixzqsAdDNBBYdgnQZNHrYxLLqSnRt0QpXENarc2nD6FEQYZjImcrkFd2PexHQ2Jt15NYk21+FBp7szcq9C5HHxtwRr4FqfImoEu5tJi6dJDmIzgvZ+HACU1apUYMaSx0VV7Z3vUCdvfONFXd9bX3OvQWPUr4TERpYCA73h/0wXkVtA1Q41w8sqiuIp8khpO0JK5yoNW6jpqIPlCsgdtdMEwUVFyz/uWqA8toCwMRkfXrH1JHMpS4hjlves04Al3sLpfdx2dL6AaRXhF1BsNKCD3VUqPyq9Tyd7770dAC/vxEpKFq8M0b+iTZUe3UagbklVbFUCyrpRU+pnLs4ASbLseaNeL8Dm8eJylbmqiXC8uI0yKLI7r1vdrFWAia7VPq6Uora90ka6q3LBVhFFTHVl942l2On7ouhjTvHJOlji3qUiRk4IKSOCzt2opclCkUGNg9kLCvZhbKIx0Gs/Rt/gWuQ+YGxgXNsixyU9vUNLmxJ5Mi0Qk1bzzcPI3BAyQjuORCTtJHf9FL8GpdztsYHNdo3Myk5G4JIHIQbywsf/knNYUdRi7/S1CdoAOimy2fb3afAFa36mxItsaCqnpjLnpkHWcdLnfWBAks5mI9/ON6v8210ELDYx3LSxFVuYBv+H/+v/Lgg3VvX9sIRLGfmRaK8MILwy4uFME8rK2IP+o5ggJ2HhHVUdbUHi31mQZ+FJZN9PtVbwxocuCkgqx2Oc8g//TC8u06c4OZmznkVJZtrJb89Hm8AJGGiendoiI5ARv93A7xFEeEZJNAbYIk5DNyw6nrJXODkwrKYr/QSwvAac2CXNBy3NM/y/IWF7892wnAx4EnmEquJHNdrdPPXTqdUoHEhVkKEa6405Lk1W3qyGned5jBWS+Kd7fNUGeySGcA9ZVnlDmf7yMF2lBSOjuSsus1MrwcAC6NpdkuGCvQRlNTfVFzbQUSuRxQsfa1/R69tuwJdgbLchnfZn5eBxCFhZqxfysobY02Jc1a4QGlq+CktEZV+t+gDqldjPJbGQdgEztiESUYru5FwuPkUc5Akog9UsAQ4foz3uobHHGuvB8iA55HZXNs7FY2DnG5FW5sA90GEVevsOQkbm80y6RP6r0a+K1sa/dupWvQKux9ry06RN2BEYg2DZb/BVeedCiMw2AVSmw8e8vgtWkAThwsBQMk7pEXR/vXWvr+57JNFMZlL0UfbGQXuLUNd6H+A3o+xe6WF28RQg6MuXghSCg+YY2yoWSIy2fKpRfHX14aurmx/V5wN/+uzPPv1Ld/C/SO8nO2EpHh8gPHHOjeeiopS6yNwy+6GjRHdEmsm+XUnjIjTPR7m4kPeONrK7EfTVtFYw/BMbIHyRKKkoAIlEAni/sU0K+6nTFDuSto1XigzWwYqPK36aPH1PUGv8MuuXj4M5L4tgURHzqN5zZ/zleV9/3blvv6G0qAjgm1NOOMDFQ2PzQdSK9Q88/6H7HwZHX1d6a/7AW0WqiuEXWUUPD1XsvycnGNXVPBxXn+71ax8yNWnNhDg3qcPzqteLH4fnxeM227pjX7OtH19Tb7xnpJq3rq0ffg8w83vfwsef+nz84/323/tP//jLt3/+9v/7v/3z3/4/X7/wly7XBxs67Kp+vXzIOvXBrtpwuC72qq3hLbWPRKySAPUw9lGB5FnG2mYme6DBuN4RCNGbOpxTg6RKHvS+rcqqmA5AJe0Aj0ikDxbAWEzKxsZSFHajyN8gUbCTNBgHUtrGud0iHdVl8EJbc4KtYvFPGfdtWV8jbXZoru72num5Iw144gFKegN3oVW2O6OJi4fKy5/in27JgKYu6iZHGdFCJNGlitsTcE5bKxQ1wxjFJcAqWnJSJYL8WAklzvJJmc3BilrhJOCy5T71FUsemjFrdjFxl8bPmh9gaoc8+DxvK6xarDizQqNTpJFTjU9PlKlCiHwKTU9VWX8HYIfP8VHRUyyMsuNs3A18Ik2mNjKOtisveS7I3OpZFX7KYwExm1s6eDJreUNq8kgG1KWLTFqjgkXleiUr3rbnmIMzQlSRmoh39aDYmR+LuEl4dHSLz895xCA/ZWj+uy3AXDeUVgCjhUSQKtBM2qaR6VOZ54Eqvr3BTU564PNA7L76eDxyWNfP6CNSaY/f4QeKr8CJ835G4an4GLD4X6w1AFZIH/lM5uug5Cp0dqWo3wLgez2KHjyTif4+jD/swey0EZXFT5oEIGOGy1GPlQ8z017k5YzQKL/3ItO0fbhERVZAzg0ybCf2JtjO80eWam9hImFCIWyFn1NX5sXsllHNVRhMe5V2VeXBz66PnArP+pHTgJUiokVwd7/avF9wEeCVYgfjHRHZsut52B6YFB9dXhkU7VusXQ2pZrXPOUDCrsfjWpmrS8JZ/4wCYiOsb6BT4hTI6p/Pj4K0rPw/J2YSDUPR53zs4tsDPFuGSER4lwnQXzWQ+/YtEzgfIG+p35GdFwvsyhHi7lX6Z3fkY5waRuSvRkz5EyUlWC519gOscgxhM6dSZejyHpzYAVKI5Hz/ntrgOXgTdvaEz+0WBzSXE43aJDrAtVKiK1qJo4q94KAiPJ8r7h+DfS5JAjel2gncqs3/DP+WizdsdOYQTJoDkGUdYPnr8sW3OupymuZkzmPeEz4dhvBW1yCw5c+QasjsYDrRJ3qlvnZBkXGTZL5HMgsqDrnCT0cXh80RMFn7JtdTKMByrdwvH3SBQ6a9ZSaIHpLfGPY7ppf6GfWTUDUoqY4M7BA4wCGNK+6FxNVAxzCnfQxX0yJf9dJPWVEtQAaV4UFdz/3DJq9Kc6WaGWldv7gIMpKRuTJ4GnKRNetQVT25RMEehFuodRvn+C8WPS4MakVWNXNzoVTxg+C383Gqq16lj9fr9VEfXR+vzy68XsyFln0hkQDVkd0L1YzQku8t2JmpRNfTuaTt59M7BIBbSApJ6FWcp+wbe1dmdXUPkASxBVJmss6B5FACYuDoHRAFwOcU4lqaR0IE04RxFdjAnnbzUMBBQITN+U+GL9iP7y0bFcJfx8gekwhyYcGg3xjOGPfC5ve5916Jd+bH6D0YYcYqT+Sj8bSwbt7NIpgYZuvT/LPPn+r8gved+7Yu571iyjiFpIs+BNB9a544jSZdlWHiNcBJTcXh+aAAo98Y+ApUQY3TYhFp9iiw8eFB9UhfE+Lr435+9R/nCF8v9Js/eM8X7uBTH+L9Pvz6X6vO5y/H+u/w6//5L3/7679+/1/9gQ/ox0d1J5nKRPkTwSVLUZqxxDl4BggsANgtuwNHtpC6BfGJxWHabsPIJLKJUg1UK4HbF8JAxthnQGGTSYhev35XoOOoArE8TkePBzLlD6sUfkRVm5eR8w2A1kmWV1YcupOYmwQbkqzzWOsFrq+ymhZO27c2L3SCs9HiO7zE4O6gQto1E57rp5hdxUnrNavMhOa6foIpwYwS/jdEodiG78RvAHe1CHD0xG+ga2E9slpImzCDpAYIW9DKZbIV+EdYHeUWcIV2ve4irhm7DkvvaTK5jhGYj6tF91J56+vxkmFZ+g2Sd5+QnNCKLPQ8dSx7BNYyQYBdbDL1zJlUWcj2k9awk2illFWYgk/h6VboSMhA94pmgE2bA4iTfL9tBGRtosNzogXFXMoR8fSU7epJUs+ec9XWPGnsxWQFEwCmqi9WEAJoX/KuslZUUcQ8jW6qmtGp4OBhCDP/Y9HGQBaQUIkFTo8sUAgdamG14QUOQwjaAnuyMAHcqs9djVfq4YdvSHfwjp/c6Ip4fnJxexkOPaP7QAXEoX/9RDyjRCGpo6DhRuq8vWRNRodqa+V6Ub8Hfp1Fvtfek9RatzM9w8kUrkoeI4GsJ1io+WFOh5sjpBA0C/OtZ682kaRWDnC0SALhJOMl5WRdIfm5D6q4uOWi2jCS3LeId6hKOOpurpremyCcAFsi6QXEIEmAII5r9gsN3BVBt5+fErzaRKlwMnoyeU3BF7ztdPlbyvG91EMipjAWS+lUl6jjHARi8umlqsOqpsT6jE1ZHtwaD3381E3BzjhG0b25Kb6jJlzUwLHCi17976TFK9rucI2Aw9xqtRnhIzL00QHoe4LO6CuXzbu7bVezWNVdbbJjIg2jBG8uhzgvcTpJV2EN8lsycsm12ND7R+QhDcpYBQkds3Ze+aUu7OfdiGFr3yW2qNoE2jZ/7jzgzkAgd84h7C7tmoAKAp7XTwBOVzKJCpEukCYax4WNsSqCThoS3Jsw/2SgRH/Fk9gr07wpcDyG5HxQA6CKYAuuMdhDVPRDwiZQG0mzl2CzlBX8DeWaXaCKiH60QuegyUFXxnub7eBn+Xp2lUb+s0y/ACQ1CgIPJUSArnGREk8cQWR1GHewvPHDjYy0f8ebFy6ktIyuMFC6ZPgm+u8uHdkvAkNVE6gMv2l+4tp94Qtb7+sf8zXC/aGRBtLssi9t1hpkx2dtVO2WaJDWANEJdLbIPeuQg+24eE6i2NJ1HzTjiKQnFFCzPP3BIzf69XnOqz9e51VdVn/261VnqzLTHJKJ22VGltHaR9vtSIlLJVbaylxtbIgaHjJib4V5GGWf3AdDNSZQfpjcSUzwxS0FU49s04mJC+O1smVbdRjK0la+q2PsSBSckHWsQRmoY4yFrnokbaWUf6dAb6V43M49chusc0jfoNECIM0SmB5LV4OS3l9vXN2R5+pr/OP9vtpBbCxp0PTwOaSCrmJRmPwen/XxaR+8398ljCBVDd8vn96YP3Lz91JoniMnRxzSaUDtoVenv3WhK63TpfERGVBr50Fg2KU3yFtF3H75T5/9ehXNtz5+/5xyXc333wfvep9h4X3pqhr7+t/+5Tcf/8fyP/ynX+9//6d//Zfv9js76x0J1ZfFESWji6izMwJ2SyS9AqhVaNIyGyYreOBpP2Kf02UVIBVCJaNxsHErsIw21D85epiA4m0sdkafn9qDnCPJWfEjFt3hBAlWQXmlgwhMqrQGHnJqWcKcZPKKSEL2H3KMSKpCHkWAoBhFC/TheXYKO0VdPMjEk8uoXYpb9CAcv4tOzXwukSA4oXc3inlzF2TljkUxeDRJvwqbXWJvhoNon4YXLUFEb+GwSbm7hoczvc9pPhuBlQ4/AtqrySZP8iqTh1BPRX2+b24uERKevCXJBXOgNlH0zz7ThUtzxLFWMmScSk5U9r1YYuGY3YFBrzk2agayxK1j6o2ToB7hfptKrWXglD0HsjuKCrwKkOCR52fPbWSeiYvmIMkDjJwD8KDQg5tasgqsmf2ku4TxrBd0eY4U0EScnUY+7N/BrAja0Q/SuKR0ATI9XNdvIEMzloifwdEzO0tGJ5pyEKxGPtRAg4nxx87yUIzwweLqeWYfgBpUsttjL1onxAZFeOODCG60/Tp4A9EJ4FPB1FlLUKFmHvPzZvgQKXTlES+Qyb2wmg+gmP4x75Kgetb2lVk/rmWsDSKMyCQjKOY8p+xxuZGMAPVApgSsqcUj8+ZEbNlesadwGBVn759PTmotA95uTEz0pKSgvNMRHy/QlCXhiWgJjcOERD0HDfBADaw4tQprTxtoCRMvMV1qAJVkKfyd0VhelQRSCMf8/EAU0vKH+cpORB1wiEew93NyAtB2mmx6Qs8CxsRaY+qcUIAu9jNjMbZeb5Q74V7eNxFmLN2pXmyliffDM+2s41aa4CBS0oHtNiRzS0jyDB4Y1R63yJ5rr795bojOU56ZruqXOz9y1eJVxS4fczitbXZLbmAU06kTYmFCkSh5p4REbHZspAhmE+BGxQFGd9mTtxBAcmNMzL7vu/Q/6zJAb3L+MZ3oOzL5SlGeLytlQC4iErzHobLsGeshMtFcTQ8etAWr6QEwzGCwUtaXfSnixEUE+IDWTXDDdgku+CGSGrolgbpZ5o+kRAscVALmPKadnxfvhX7Siyg3eIcnBrXMYj/fXmLDPAlDnqVGQXATTSIvXeSu1v/EREyFkdAqyYIuxPizcqGYCrulqbP4MapGKp4IUkfGtboUc6qYfAO6xlNoO+mz8GrW6+q+Z97X9633jOLXgT2BZGWYbQJDVK07h3sFiNOk0uGJQVHbPbfmHdQKj7HcDQ2gg3kWPa+Pg/URwqeLpc/P/jyvU6xziqxCV9VJQXfBZnM/3XHSlyqU+gZisAG0tQ3y+Zhr9NOFBsO5orDKN5IenTyE3CaKHDaU6yTTahxYiYBIJyCB+cugkQRXJIgkdHUiUfPJEb3oCHKvmVW3zPsMQDQ3bdzIhuR4hPdWLdbMRfG6cq2gjKKnLH9JTLon530hSW984erOaN6XY9+rq5GdvzywcRO4Tir9bdOTqP4BqkkaL9aLl5TfkwwEAg2t7TeKfwHYEOAI/ey6J9/YrgSQrMPX68VTrM9s05jvrzfHM3W6q3Kq8eoFf52+9of9+YFff/34858//vRLuaThv/31629/8333q/F+f//xp/PH71/3r+eP+QLV9Zrf9e//1efjnl+m/9M3/v9+u3+rT1KjKx8a6Hco5mMEXGsCs8WqGXGGrH4sjGCgH2Q9Sb3FFFMkIzCJAUGDDCTSN9NwXupMAAtru/IpBqjccy97F7PvbdlvTuDYWBPAHO99IVSXIA46LScBw+LYY1UiJaNvYDGZ3sQj07Q5A3puxMveC5ebrzDFVhuuuYMnNdCesHnZEWYxULE4wvbsPvQyF/Sqn+KKqvao6jTu/gOAqkujpsAX++p2JeitCRP4uQmEZDUrlmmUeyX+aYbd0zJx7QmuU2DDYHCblNnROLPAgDC7BbEADxnUMrig5nHX5I0sTnPJZxbNzmq56Kqz/0XQsN4wrzR4rY27OraBolN1E1DqCcyyA8IiCiiI2BRnRIYPoFnXAlQuFKEhAVMedW7uiBkH7HhRhZC4boxjL5z4P0PARmeCG7WzWNQww3A0LIZCgRc3Ry7VAAIZU1laoYJfz6JE28mQm0Qjs96KPj+Ck6blY90IEdwqZT1qnOedgSRW90/42FhvB9KFsFOi4wBY8BwRyTIf305sDrKVe9csZdh3VynAeaamkCcr9+iYOlat7nLNSkNVRbiEeYJ0ovhKnI9KmWI3/HOxMiB/bVfxqWLlsgcRteK5/vPqyAJP0poeLT32QanUSNmLtps+UkbY50vAk3YXJRvKLkEdzDBtUnD2YZjCAFH/JDI83oM4Pz2PCRJJsvcmqONpB8tk/HfFdxivxTB2CNx1A4g60HjQ5DLm2Mro+pM8zY06GzzGBkdVGEctBu7FDQA1EwAXpto2xzvPxX1bjP0AtF/uB7sMlo8yuia6r5jRO8BbQzfyb6mqlC8dUZsBWfEhmjMjVMcolBKD5nZdMOEBcZw4+gH2WPVDPnCV6sv9quJhQfaGkRuAeIpvDqbCnGW4znPizZZK4qiMyJA30Tb7Y7qVIYxZqMlMn1Rl7vyfnsk9Qa2u5bYAYZogOttVUh5QFZU6qdpotCkcJAxsd1Cc2urilQ4EpHnEMlkHD3iVg6jKrgdXOEWyNQFZXm6lKV28kKBiwev1AVdPF/VoBt9aYivR7LanLL3bdRnZiOXO0T9Vr9zctJU60tQp5e5jF+ZJckSm6pS55GFEmm57SQ2JToabphJ9WLnlYSTHd+9GGrECLnpkUJGoaqLWGRmcmSpw7DyyZNnJ/tOKGhe2kAt3BI0BDaJyv9fG+755LUbV487uHQA4AavP9rm7WpicpbsaQjYfVRq6nNgDJ64kmuH1MiJB7Ixft6vPJ0EWVXVOk1XnRDJR1WbCWgCAr4SW1HBWf71/mxiyEbc7AWXinPFyE8Y1C5cssz03kU+1BS+Ax6zEYthZOENdtuktKyagQ2jj4p4ZTkhvCvOpW11USmWNSPfZnTGrF9fMYOAaCH+P1wqFS4T3DrABhPm3rNw7UmKICT8yJM5bEmR/Sbp+z8jQvSN4/F2m521Luqq5WesoYvKLBHFlkJMXC8WaBLgTgHG6XvbLF7fcPVSmoZSdikgU9pIcweI0EZwXK9nBHRCmeUoNtOsoQVbd5Zfq8tmN0E0Zl/6xCGHjzJ/+8vlP/+nbf/jz+eXgl1++Fe6//fbL//w//f5f/uvvv7PQB6qPg5nX/P5jx0/Xj+/+l//69e2f1H9G/wfqj4v5doFX62KO6hocL5tU5uC68ArAuPm+lrbUU1gmOtfk2jg7o0j9hFifdK/d5zZcYW9CpiVdhSYD16BwlHLv7Ac0iQael44MctOmETx6/8YKr09V8uOk3clANygivQRgVMmPlDrMlzycvARFz+NbWAwms/6mGBHkYYTT/YCdcsNIna+xGsITwN+rRXBUgtG0g5uA4NSM5YfFIKvE3R6A8IU+qlyMxBUhUhMhIJruOsaA8ZlwNqR1waAN3et+Y84LUupcnOxKSGmEN9gdQ528fui0k4TsCRSUW5Isr4mT6rJdB/XAPrUxkxsPF/pbCZpMKHAaX/IfTB70xcZWd5CDJZdvrvJQcfDJyDh0TVzDpcVas4CtyXXnWscItxg6xDvJORvSd0OIMcWRMeoqc24cGLHeOtGtVP4rhljNNPiubjSVPpcbSHdLVYZ7AqPCToVrwhwkkU+BOKmLAoqWtwKvlChtv2GgyQ2sjq1IeNJ1wnc9psi8F/TT9Y6fEDvRTtXp3hWZCL3u0gLgYvRtpDnx74QS8Ertw7FtAXe+pQhvbG8Cp3wTZRKVTW4gAz+LCaIeXmlbYjV7zWVTOwBn2FICo1eHFSuwo6ZdbDd/weQzOhmB3OHB5gNbeDUCrIIOihM6cT+GiHoyo5MxHrMiEsm5mcVg1Qub+pQFaxPTdvLFYe1aRC67wnxOIP3T2I3ldMKF7b4ShddPm2eB62leL1zO1wUa6UQAPAzQWM3cgx7f2E+5X0hgnMSGrUYissnZpSPwAEp5lASe1en7oCcggUocN+t2HVh0Fd+cYnk8w2cBrUm8iWKm93VoWRO4K5+MhcJZJD3ZUt6PRhBwyzcU21u3yQK+2wmAqKrXMV5ooKZei7IukZx7xTvrEKGKoiCFQN5hPFW9O28AapolqKojh8pfPtgO2RM38uxHCztnegZVNJrNvc5QcQthOxqraftnHMkI6T5aSQE4Imo20fFOFdH+6a8zLlErMnMIvzJcVc2I/BL4mt0zSmmXK+0vro4iVF4Rwn4DK11TlA+yqUiTNydz4LmJisHksbbwVayJ0pVlqprxVP1kvZ+dKjrRFrZOr0Y4sPMYuIrUZfUeYklheDb4TNhKOhkP6PUVsrXNcUXOBKMagNWxxRgKKR94zYbqyihJSmaHhBq8BczNcHwtaXiVuKnKCBozh/J/M+Am008CMaMT+KuxGygpjxW3IumtKSFoI37I8N2nG0BXd9WrUK86ZBderxRcddcBdHhiEwgN3BWFnFkWUOy5013YXjoCMfiNd3bPC00waEw+WBxY+d3yC4W6jH5ZKBxjKgGdwbgStBpIq3LaMjpGJhKiwqailHcmCGZu5FiIAn5ZzCLsCtsJFjiWO4UW6gXblqmKimKehOsKqVlEqpFpuC2NLeENeTCDO6J95bHvzAzeF9eDH3XPjKF3ML87xCjo8OwjVk4SWvGUyXO4tbd+w83CK5fVoGlhUl5nQhbx5IDcrDLup0IWyedmnI4WJZ4PwPj4aH6ceuGcKhEuHb2CUxopHaS5ZLfIo/ON//Tf/fJ/+M+/vPrr0zwvnz6/vsD78X6/77/d7+jzRR39wz/w6/rHF5PFc9719bf3v7++/vzref3Ho38Z/q7GGbxLA9CXOroT+GnQh3aX3c6g8LDSI5y0pEYmFC+rAGw0u4kW/SLkqJ02EDMxiU+spekQHAjLl5DxUJShvBcE2Ws6MErO1xJrg2uD44068RfMM5xOsZrQ9XZBOp0/UJFlNns4AUPjd7VPczQ82WghyPzZA5V4iDWmxl+XLwfWMQzM8VyUSwwOVaqGbjukh4Xq4kTXswhhVGYBafbeKuyrM6HPgmpn0MpvRD//mqzngodtdEev1nWyjLUtE0dVxcZDXabq+JWEQlDMar6TIfbdC3BharzLmyP8qYrmQF6yJZ8ysjuuAPt5OrKiBRlaTiCpEUA6azOU1gbCBZXK0EgyrgCwhOEge1TR8XnBF/ui7OX9UxoNOKmkixs/rQFeg2vGSeOu9GL0jloDRQ4mCLKDDCdfk6YufJxF0/AU8c5Ebl+Lh7wFXZmsyUwRKZ1X8C12MsWaEebaTWyTm6tnfoBdLPNtc1xxxRuoHJaxvSemwBqdrhs8Z6SuzXP0irYicTVD1II/Ez6o6OMU3fPghgFop5yiwAmzELt0oICdHL0P3Kp5VwY6Ajt93IEdsZ8NN/trGUCoyPvIhAR2RpVAh6fz1127b8bndrmFC8RgUw9L5bVyRJ6oWMXBlDYUrRnjZMD5+bQp8qjgctKDk2ZFyOy9HQl4AqZ3RgfwzMzcmWQ4DTIqwjA4KKZ67oF1ia24WIy7KgWIEDu/AB+F01It5LogtMxBQARtkYGIn7rB5Ra1Kszy4wXEdmhTFbGc+wH3QKcaVmllWzZuq2GRfSNQKgD7wD5sk/YHPsErWt0f0mi+DnBLRXIyD3ZkF6lHZHCL3OELP2w0jEo1nCKTzE3QHr/H14AlWl+3u5r+8X3Ox6lTPbp8dlF2V/G4jFOFBNXHQqI6xFUejeCliZVLjHJkKunvSLNKISqVlbm5snk3AnLRkf1Twzo2F+F5OBvlO2CyhWZxiHW1RFKT5Rj+mSaVf89TADFWjBTs0auJSfxVAcEDAhszb2kmUQigxPXcnlDiksxyD27GYi9dTtk1KTxO7wA7d+sKLALAYuaCnYDLvhZs5DAyXJinYRZg1vUbgS03589PMvA+AsEgkjnV7fKp7OzRRhMP3pbtvU8wZeq4UEkX0oh6Jz//xpImZbeNSAfCELbAwXtlLMLII5eB94zG9yKzX5y3vV99BfXQMF6+NWSRe43wATgDSG47r98P9lGBWwDFXY9RKKbiefFUw2ajqz4/63XqdZryOUQ5uXXdj7P52UFrnY7Kppm/w+tUCHuKqEtg2BQXtoTBcsdaW9uwt5rPTDO7JGPIivcD3AktvRXxxpSoZFurFo9Lu5axoTBKJw1M0kVXskoz+mcCE1VszxS7YI9R5KWeERFQ7Dnq9TILXO5qt9w8tnhijVgzV5BsT10t9j+CPDJnPNfvgfW+l6P3vGVgjJkIxyV9DeEoFkIl012V4IH36wvsjLYnvNtr4jL0epV1L12XbPKDuOBTx2TSFWwlj0qV8pjvhOvqSCuh0w0Wz4DVqm9/OnW6Utj3df/4/UqW7seHq17n5X/4BX/+hYcvj07bvv72+vUvn3/6HZ/f//b1Bg9mOPz6+HjJifKoO9N+/fjx/vwV9R/O+Wb8YEctZo4oD25XtJjro5/OV3TyCjZgrfgsoAmpBt6bSF1J70h2Ly5MduYU/FxjMsoFEuuV0PbOXAG5HuoT9JJKWLh0F4L91+SjcPfTJrSjRYBQRDcsXMhyP4l1SQaQCfbTzFoAmE2np9IRhg33kF3cOF4i04c7+0uUNaG6oGn6vGquq5jxq4D0evqngidzNpGJlYFytGwEUwrjrOxJ70KkC5lFsXtA7H4EmxRSLbZoBUjUJgnCm7aZbIcS/QITAhh0smOB4xpUcqXxmnSyDpL4ubJlGAljnBgkXvaIboU4AGtWLJSXlzTuz4IcLeBk/AxcXv1osNTclsxRt+rPif03nIdTmb22tfxX/+4jX+x1Ye54Eyl2R2gR0RGY2uAclvkVM2Td1Qx4jZtiM22XKSQoahyCY2zdTfMkoSRYZpgbiUMFPucVWqbfLupekGb5rS57fvpuFX1YYPaRSX7BHaz/1LmxZmx3z1h1D2oM1RdMeHybfUVbuoikGatwv9ljhtVc+ubBlUEYTlmMn5t/hNKKnrnEQ95AvM1jsMHdnihaktkOm18hYTTi+fnu5sFkFUu6vZzTVjVZRBd0f8an0PZMnqE0GMv99Ih1xAD0WGBTyw/ZyV+l8/4/ptdM6jwDPgl5WhlchsLYPNpBlrCf2t8jC7WjNlfbwDFSysVHAVALrv7cC0OMBV0Nbu9la2xUkOEIClbHnV86/komKGhNesXnQETZ4DUOw7FurJQXPAX2RyXLOyVR0Uplr0U1iWPPskiKU9682c3sWE7zxxC2Sk9WGsHsg24Jk56aU2FOzqcs+WpmaEsjCeoaDM0W1YbczZ8qDfDsJhO+OOZWSkFBmhjcJEug7o00tb6+/+iu032q66UqN3RdfUUcndwNUWJ19CfnYfgHVVa7nIk+PPDjWTbQ8LRrCnyOpmxjQ6YeQYu11/Zw797+ZOnKVRxdIDAhgDX0DW9PSaySV4IngteZ65ETNXqwguSuzdPwgM2c6eegksBhvvpUJ5LMOEV5Ts5tE0b3T2Y0CXvB6JNgw2TpFKx5BGl5CsVqGMN17ennOB+wnk4YzM5NUdQCILqqFi/bpTZL+eYoJeKNLLxyztDYcml74713hc1tU0TybcobqqT4m996M7CE++JKkFWX73CO6GCaBjU3O7cEzR1vle+owKRgJVy25Nt1QIztqpKBrsbDzGIdh3iAbdQkuZSE+z16xAQBuLjpdeVidfUpfbzOR/frAx+vj26cJkEcFICuzBszD3NFwzwlKe07uf+5N1xXBbiPGDG2sqXDVkv6UK9pAWTUu5GSFTia/acJexoNembWxY21ytBZL0FT9lnpR/RawKbuoKtzgpwMWcaTGJS3OngtwnY2LA+tyUCIIjBLku8zh8cMktEJIbDTrE4rmPS7qZnkdAzeMsoz1uBtzZtv3O93Zog3puSgmxtKO2Cfw6+6hRhNCKNKbLqIXhFhRSjcijFlyl2J3WjjAucCPRed17zYCCuAgoLj7X6FITqNKmS3qnjiHewpsqpO4de/vL790r98no8Xv3+9/+2ff/yX//LH1x/Nr3n9cnT92x/vuffVVX1s8kzbp/DxrfKYRuA2uOfFvnXfo2Yf6st63/cffp3X/Gr8Fv5KYx7PtSk0AM+pniOyrsQmxCF43bUw/Dryxkiozn4vufyj7VpnGpBW2VUTFEu7RwuBs/b6Um1QccXBuGBEyvAyjHI1aMQgVvJ9QHvlrhGRbpEFcy5Gib7WrhxV3Ia9k9iO2vgCnFA3PtVA1Mot0lVpvSJzKUaiEnxlhtWJOu0ja6CPPuPhMRQIuwaSeKqsRy3sQv1MIOA26iQB0A5cEgOlx2eZWiwDHX12E2adFaqSg+p0I5zQuc8AxQ8oQjmLPqDGm09/fSVmToAkJLJDPOUYX0RBZi8gVg+HnRwDi1B1Z7qUUw4hkNhoosfczKVPHcEphQSpZy4xf26WXHHGKgvtAQHM0Ifl8pjpIEEiHKM1ghPcbXuTwmF4GoHA80iBSdSIREjjjgmIGg0LoD1UD1xlaQqWMuNG/Kq3XDVX+4GYl4s9xa3t8KkrivfIeGc9gIFSdEGFFlgXBVYiQhAokXb6lnk9YAN8+8v3CTVVM6DErbFPQk8YQ9tgy4fFOV4dioqUxMr8y3tZFZGU5QXLn4tkQadttvDY4VsWLzYOOebZDNRI2B4oIPKfGaEyV01FmLZ3uaD2I4iFw4nZte7QZXYDYbuKN2qlZEDXo1hYe0A96rQqzwb2VBJ2wRX1GIG5QFgHgcIjHvrJOmWbMZ7M+IB7Eevlq8F6k6IlL+2oleyTNZNTmAgla8hgVVnZsT8uCRD7WD8XW/wFy3EGEuBS3uhNM4V/7l924toVviXYdFaAn+OVYBM5ZJcZpJtra7bpuNh3qchEEZHUjo4PC7gfYkgQuDoEVtUyWjGJADw81+r2UTcwoj1zAWkGY18DxCHw6qwSuSpWKgVMFeQDPymrgFnClDuzMGnjysAI5p1zfEo1+GjOaUMzc4oAToEn4iMtkdww2OKsNH3BA4UEC3RiRmNMhZrLVNUJo8JZZgmHgJGkatcx8QrFKgwecoU1usIq7GgDRdFncvjQ3C9xJ1xYQll4gjbW+IQuaeoZ7IogeRyLcWCshEQYOzPRDJyTDkwYrIPrmiDk8eg/QAzDcUSJE6A7ItToZ72JpBE31A6G9VwszpMC5hB31AbJyxjqoE26/MLPdi9Gql9Fow/DYkN8AV8Vjy2zsbdj3gMo3BiUMBphaBFVMu33OykDsm2N7NVqRgeXBJkZa2xjZGpcUDpGiJJjSQaPKaALmJFQpx1CKoN1joFK55B8fYGa0cxESxXig5uWcdtg87PPx+d5ddeLnx+vz65zqrPfkryxtpWcSLWUixrG2E3MFw3xlO4tljF8IbymFg7tVLntqYKf51ooW+ylyI56L/ueJja1VqwrP3GNbiekFRUlDpig8aA4kLlYI9xoQ2etlWLxPOKKQhs3fqAIm2MP/UlyGvA6oWRbvcS/IzqrtbdnQw0AbIW/glzwXDHxdwat99gz9ttDjPR+3/edr/F7cHUb+Jq0L3l6XAF8MSW5eBwZupHaXruy78rkWFW+e8AicIllW6gXrZNDnQVWXIxuV3IfDwrmaSkaaNimqo7nrZvGtx+nG/WJan9+e3371f/45/rHv9S3z7b6X//0cX/of/lx32/04fff9b/+y/0vf3n/9//x9esvr1JP9ffv9/ff3r/97ceP96UwV3c07kWkTtJPC+bc+f5DRfmXnvPmD3RxhpeYATk/Ll+vGslTLrXJwesFTYxVIcoLVlyVgaqYCxiIm6exH6UT+wFvbqFiDdyvG7laKqliUO27493FQvhsMiC6wj7lyKK0BhM3CumE3JgVsThcG9CDYT4gA/I9KohP3mlE+XmwE3uIyxgNuCSUwVInZMBoCF0aOdH66UVN2eJRuyY8hxLrDrAPN5Llf5M6GIlFcYNhMq1ZfLWhPWHj9SvsBM5C9faKRJhxOoT/K9pxdgK0WdmNTJGHx64c/UT3A8wWjgZI3gVf4yvAatjn0CrXLQD7lerhtJEvB2XmYHlE+zuBwZvsZsD1yPLDqfP5ZmmMp0PB1w4xD5IfWG7rz0yzUsZswJr9M/JIBOAkIIRwhE75xgKQ0ImMsaOJOoIr8bopXY1MeqTIseWMsYaDHoVq9nggK+DbRfbDTeLzkKWRkfwvy/QgZgLLMwFuNjdnIBQHONNTrppMyMzmFIsUUZP9SDbQHYlE1FeJvnsrc2vO3T2FLNBvhEBxSQJPPHFVXdYs6WTKU716kFzuYzOmsEC+8AgraNVOMr6B6Zy0pi3JyjUxiBVlQzu0+o9STr4lX9EEyHGhs7jbA0U9UZFoqXgkhZnyPhfk8xCAjCo6rodnsAoOn/taeMgLG2e3G8eqjixcm2YRJIFgfv06XGBiKX9K1bSaK6wIgYBMUPipjItdcSNQdBfiz0c7GPbuqHSZwwFSVx5ULR96tIMY2JJR7UyQ+33Qm8kGr2YQxMpOI37T5uTjRD8ZpUkRUzGn+Ym+eZylcqJII54eRsJXDaP653lMwKcTo5Wmg+cbUZtrykN/fpIJbQHuyMb7jq379ox86HnEetjuV9qovH9BnVvWG1NDeX6iB02MKvXhsu8dyvLHsThw+1LHpZNwIZ7ujqO0ChI7/ZomKl8lEvcGhz3Kdx5Ne2UoCTtWtHAim8xm9DOSPwdIc3PnrajBH+L02dQ2huV5GIL941Fkyg3CV+gkWAHPUyPI6HZTpzouagEl4pXDN/q92i6cgoCu7UGPPCrimw/yygbGNtLtioXwQ30B8dvw7zKg5PKzbZCncR9SxA4pHpXKntLktZsav7qXBVZs8gmk2J/UherGl0miBixc9kdg0g/PJO4zrzcpvWm+YQ/lugJsSzMa8Wom+7gZ24oJXlT5PTkZLcnKgWfh8d5F91m9Tldch6UCdwGNgLTz8bqasFNXX2CxtcxVzOXPa2yw8Q3nHL4+Xv3qzw++6rD10XXY4MZTYBBqh/E5zh77cvkme6Qo+KDuI6oh5g0cl/gUdcQj8kgohoXJo+3d5WINEZqjaQTKSajEU+kIIqG4W9RuYhbwBCE0+lLpYBaxchDsNJAOK1PuCDMT/Nxo1P6uafvJQxEI0TZQDa1jmZg49Vm8OfI0pnY3jeyRC4iIbGqGy8EV/Ha2vxndt7+uZjQJ+hEvRkcw2VRu2waCnErX/oiW6hTxjnDfvdkUIcthoWuxdYF9sDRqVqKk/rgOq+u86vMbPz/644PC59tzf2jGPzZGfJMf3u+30a4/8PHLx2d/futvZ/7h2/nLP5w/vz4+P4plv/WPf/n2X//5X9/f+wd/zPif/wuq+OPyP/039Xl8v99//dv881+//v3fru75ul/ff0jv08TXfNULuIOvTduey/vd38sfrfk2MzVqvOatN82bUIu36tCKOdHvgqhXQg6hqBZG3PGddgKouOAFl8FKx0PuVeR1qeLaw5lBMOZCr+iPyejw7pokUVTSYcJ5RwVU+T6SsISeUhtNXrqjbiaOKcKopMOTCRDm6kCDuEbZ/UhSg+qZCIj3zBnrS63sv4ISfpDxdK/bpOAYZztBylWFd3rHsqt4/9I5FVGbxhCgpaqzGlWWDaFqI8V3NFtCIAqfqs7CetDVfwcC13Fn8GzCIxvp7bZZ4hMaExOXtSpky124vo9dTKhGpYfkWLNszE+NYwjhQLYJONhrscB4tBZWqNU5JDxwlYlxGIVIIeBKSBCycGcZzG1phY4esKB1hrqdpZxXrvgOC6ECMhBlaG0x8YNEedNGaiVioH0HLo5K2+Nm3wXGn9CZtJ8kWgpjGKWO7kxkvdelox/BJ6pKvvFKyHQP3lgzCZgCVjppGB0Y8rYAcM6TCxt25bwxfTEZsRylnXaNlasCRSGpqlA1bmZZCmtcKpNnc2V85WjLNoRQRb6z144g3Dxm1WlmtgZVpXlnVQtjhsTH5WumvCaKvHOJYU3IW8JQ83VLqo6ZJYP6OMET1qPzMEAOcQ5kzh0eeOFYhi7bJwFZ9iKIiwYuXOKzIxCF0lh4wN6llHgyJ0XrVhyhZmtlngF7U2jSy5UzaJ/HReHrgT9C+zPvmOEYg1iUCxh084IdqJzPn7SSfjcG6Ef7mPd7cTHlt8WyMR2X4W5jkcXuy76u8NX9J+Q3G3gsJfls/Fw3e5/na7Uj2MOyoTZdKjtiCMPtxwgN7u+wz3qyaJgmgRHtHZ9Z1OzWQHQVi68Xqyl9+Ppy9OV7fTXvuVZJ8XCoChMdn7k72BNDXKj5aehY9R2a9GyCjRBSDgJa9+s9p1mF6vMqn1c37nmd0/HM7m7OjujtdJBUtTlAC7QjAsX60vI5VRcnQGShq9bpnMMtBI5rUVTMBPDer/I60/xI7EgZHhCXoT5L2GvhQW93jXUpQVdkSURZOzEhL0fi2Xf1hzN2OYxAIfKdVYyyz3YDsCUTmGe8SU58oSqmxTr7xB08Vz5RIF40moLbR34w75hmGnSXqO4wLKGjsyFXo6bQ2IoGgLXRq4Z7bfJA8QIYuwuq5hUYBaMEje/gXo2tmTAAMsfWrFvFvLxOgLRsPhjcZAe2aj3QufsCAGXciMivNs8iG5oaXMAgQvBiF8iXU5maFMqBq9ldp9enQah7XaSsauj5Jae9AlFuzXpCxfjcpciugsSGEjWpBqGisLR98aqgA23sjB4KYja/ynQnlPSCqIbioaUMPsl0jCr2WUr9Xhd7RU4UAjHaXbBdoHpPsp/7SC4Z42VuBLXTicVgkA3QmEEnhtBgItaAKtDuzXEM6ChRaTtPf+ITwBIm9WdzjgTXiUVN8r1625K/BqZ+3Jk37vhez+YZUxT7iEbV1GMblN339fFxTpQIQe+Tk6cIMFgzfMlvLALWoMdB4lzVneyGo2KfT74+z58+69ufz+cv/vx80br+eH/H14/3j7lzeQ1d/Yhfn7xfeP+451u9WL/8Un/6Nh8ED2TeS8k+PEUX21Vf+Ou/z/evf/v9t/cf//nXX/90vo+/vuZvf7u//fj6Pr4Qu/rei8UEj/g+wNts0RidKd1f6D/XfI2/TIEezgF5N2yF5uj6uk5Dhl6u4hkW3BBxVNp8+FyBFSx8cxt3gMds3ERAXBgsBlgvxF2yGFom3SiwF3zjrgnYII5e2XjqGFEdr84+ZTeG2I4ZNdF4HSVhVYT3MuHeB2rh/51gVgWxAZ25+IAo/PfvSO2VawhJIYULpX5O0q4jgRaono6G2HdQSjQ/hJSPZJ0FhmrjIqLonIgGTgRIyymt5oEEyTroagg89hQ3IzpahFWsdhJPkUxklWjwQpBfxbsLWbmFxsu0OdcloJNffQiJn1HSVKU0wV20aiJOLCQqQIhEq1zuyCy8NKCNa3BZmyeOz3hcytmeN4onQPeqI5YHKMjyXfszl3KwyeoKD+QX8rkutJ9986GHIjx9erlGsDQ0pbkAea8m0uXJNZ69pFYjlnfpg0mca/blLZ6mrVYNZznfV4Tj+QMqgjDaY/T1e+kNJ2ASEh6XRKPGKEHvwZl23A+a2YHgZkMK41VZpo57Zb2LidB6K42TjSnUYA3cuj/x5867xedmSQfE2m4LQbyL79napmJsXStmsdK3gck3+/M93UHlgUqYoK+ynYz9WfI87HXAQ0KVXKgUISDzHTEggd5E/5/BA6BbG6iaGR4qlDVD0PEPAwhLXF4Qd3VYeSZ1wL1XIalrA8xjNdNSArOJQwinmSQLlyveTcMx6GF9RKk7IJnwo5DW6TJ9gTirCLafNCXEaF+wpIQnPmbUleV09LY5WhK1kETXUGihYHLK+JFuI9HT3kM3R+pjvNyko3zoJqTV5fopFHhiXBK/KGN5etKY59irms0JvilXU7jU3lgzrq01D8LSriSa6NdUv8DyB6V5377TX1/W3K/rn9KkBLUPSU3o9r//yoGEY5OqxZHDdpVwNVXFq+Gh9WNcVaz7Jnv08fKH7Rdfr5iIehRNUKxfyU03wXJYtppy4DybtW1NDhDVbOWpyLMMPbJ9kJsek0qsx0Zdz+ehXtNInq+HVykWWfZ744tpAa2V2Th9TzGpBvqm64yT0S6iFa0d/ZySXjIq0VfUxA++hequAvyCrY4VPuTKKmgBvpB4jaoM32zvGwtAhk/e0xNBXSIoa6hyVZdklTCsamA/qoqag6wtATO4ej9vHSBcwJXZwpsqamzfkcT31/0a3Zkr6W4pit/IoXIhDWosEPLY1kxKsYhd4YxBdNs2EF0rjK5F1n56FPJl9gPGiDZ5em/WKhRIVx90na6qUy/qnM59bePrzuqfY+zAVMSn2QOfMxORPV5NVz/QG/MpMeGAC0Aikecrv18+3fI7WjA/xxXh0RgAb3jypJrdPYTGTvLaCjcTcg4jciEz/snZZzn4k/beqMAo3iPG6IoUpo79JqrjBUZ1jpDIIsCjYTXAk6kvoFxQ3wHJzumYC47VsVPUiw3NgFbmm3iPYVbDl0OjiS9wjKUx5Tuy5lpXC2FMudB1BpiEDeW8Iscf/PgPr2+fjG/kx3s42RWNj3Wk2G2MeYpsCZJpsrYeGxr2SYDrB7/90p+/1q+/vD5+4euTryJYx/588X47Us+bf7zv19fF18fXvZmn7pd+/DF//OI/sfsUz7lfeqO+7vztD7+/6tWfl9eWinrzx8X/+P3f//2vX3/+Uzu5DAnFFXpoLKF5St8TyHzNjV+A5Rsi6y/AQP/m/lGcHvWt6XLZ4z5YH16uVAyr6Vef5YoS/J8l0GRD7+mib+GAEjprXsK/ye6F2kIdRFq3ge2J2ArkzkCkxFgb+ZmlD+F5q5c3pfRMN1EdLiIHMu3ofAbH6IvH8fiJhFmV3jxl/85b0LBwNvElghS4QvnLS+KWk5pLBhzE6u2zZnZi56oTQQJL1aXcmGPIw8JZdZY7CBAR1arT7zEiO4N4TSIQCXcZ3Z15LTRkg6zyAGZ6soIRZ2mKgKg6eXcvN19lu71pk2YKLKSpPuyh4LtDBIWxU02eniJm+IOjZNmA2UR9RESZkCZXYU1HLKSXwcI68Aheu1337wJSCMrhl2gp5kdIaBSo5IqaEJQ89vIGzwYSyUSDTUk32OQ442SijfW2kvQma6KKnBLw1k30SHxzaNSGqIPfktzp+IzLKJ4AZ92eRg8dqpjrGB/tUbVauatCa7b7b7xPfuZXR3Xkd7HIlI6tg9lOsmyaAC073C6RcTae1DRhgMYpqDnXheG6KRC8BuA4wTx2dHvG3+NiKlH8sbuk3S1vm6MgBxMRhUYSLRCNaNQnnXda7YVpUCDzygQ3KiM5EXeJQq7OJz8fT1BkkQgFVt2hgIa3fDa9I3I/PCza9t8883W2r/iHghI5p8sEkgBwRoiSIaBbED7Ex0I/soclAwDCSXSAk+Ia0GyTqh594i5aTqc7dppObF0sSvtjUNQAlKnKBhHNwKGfI8AWPQ5WlqoT5HeeMKmWyN6o1z1zGG8cd7dbWuSBKvKEBAMNnig83/GWNORtEqtW1bTjkJNBWnR6OeJRIrt81VUzqmZJ494jOPIuGKo3fcZp7oIN3N3au16Hcs8n5p4f3335vj/0JZfq7alrL+lOjpFDEogYid4+6iwIdD3+3eypE9V4RlDbhu+12iPNvM7puuxT0XlH5FkMD9tBGKv29HTUlVbqlNZD5bi1F137O7mzz89GU8LYJpoIZ2OXLZbctWAXwz6twsi9+SHobmUGnOk17CSQDTvuZe4+iG+ASYJiGI7CxPSJ2QgNlTpoSdaOpgzA3TZZ1+lBoE/CKabdVcXyCM1CEoY+IhspY7evjf6KEI9En2RHVCMy2qBX8tMehqzd1YIRg7M1cCQdgXXzMrhlS/jxvvPGfes9/kFBnmt7APhtiBojsXSEBpbeHprXICSeCrrElfkh2Ahc3QW7XPva43G8BgsIOoiFXwpNnirazXLjsF7Hffhxzsdhsyt3BPF+j4omt3ZQzdx/RspqoJP428I1evXuHVM1STfjQcpHyHjkomyooc+Fe8JFcucUGWtUZtDphemhSMuAiZj4WT/zuDxnwSIreeeXghJUF7mzd2JaRpSQneqgrJTs9NzlsMgcdljvjOqhr7tTWw9S5WOzOIkCz0oluE+mv2yLiWBkPPlOeYksRdrhVpl+UxoZNdD76spfd67mjmTfXKadnqj8itph8QW3v/3j69f/UGjcH5dfNTNheyaiLDJ146tbJoZLbYEbmiiyGwXWOR+f/fqGz8+qb9WHTbiN8mm82FFG0K8/3vdv/3r/uNnZXMLX1+B3/Hvf1jff+sufIdvz4+ut33/zb3+7gOvFa8N0Gsv8+utv+uOPOZ+nbTMUFGk3It4WwD6Yr660KHuueGZ6Wh/sb+7/tvlx5l/f84fna2r/ZMrzDhKrMXFnTB70G3eEj+7wO0so8STpxVEIOClsWhoJileEW4hR4qx+JyJhO65vMir1QIJcuU8hDkokqq2QopfF5/nzxAieEjw6l96KpQFyVTKmsQ7jvI6JP4t8S6gGO98RmLwOIqn1UgFD0lT/DDfgGtWjYfWi/DjkIOuBTbDSeLgCEv4MNIinHQcB+1MwFAc11ThFi2d71tCHSc60QZwDvGv/krWiGubuCSZPrHVAhYoldSUBkVAcWFPVto+ZXt4RkpRN1RRBp1o9OpNo6k9t/H5WGHiqGyuDxk+BlvHAynZcy1qMODiyPIP0yBskq8Cy1a5J+Xs3hVFqqZIX6OWO4BSdZyxgZJpOdBUfP4lyMWDeM5i5GMFB/9faeeEWWV2LXVbVh9iFMh7pdTVsnMyMkg/w5g01ecZv8KMTu0CzQYqpIvX1nMt3dxfFMXPx6UbcWiwyouhrR9nMR9MPeoR2q94yN6abwdOQmTO+UgyKL7X1jpAuWZFkZv0F/KcKiSHfd6Ee4D+jM91Lr46n4jBxzP55bzTJLsDizgVCz9xVqYX2T3hoLQZL7HSUnAnk9SLdAQ9SH8UnhDAYV+4+F08q1bA1k2VMVgBXl2I42ZF9R1+uUSFYR2Zwl2icyIzKmzLwk655uIvlAGsprUzKSQ/If4ZHcMSyV9oTzdHCEAHxkiS9/yb8PApkfBgEOhMXl6iA0Zvuum6PyAUjRB3USRj8ijK2/uAns+kHq8/2n/PSmeEzeofTeeJ383SFuNizUDuwYckh7QiePoGQ7MxvmTCC8rYeKEnFoSywgF/nIcyqWT+sF8ni3HfzVQgcbB589OkDs+83v7/u19f0G0NL0hdQcueBzjiyVPKpSmEqtFkz8qY7PRpUIv9v9gxZ/gHqx7zv7fp8HfRUkz5+8WAnpygdCHsKhGvaZ693/6xjqJqH5oKTkFtArEMB51N1to8wWb5g+o8i39wEW21EA1hHYL1U8yTq1L4KNM9aRti2ZL/MLPJ7AcmzuTdY5UfwXw+ZzB9JXQRV1TawAVkslRNJgKqlB0HwZyJnkXqFAyDZFR9NGcSH8gQXE3ARYH/VUsVHHY5c+W9A9mEq1uDZFRRMcygQpX417IvizABfd0a4b/z40oyu5sIe2PKiDnm/OB7as9hFIW6SNHY4rgocLmrjHaez6fuRZ9pWwzOsEhYdDMNqyn3qVHWUW6c+Dj/OR7/m9fp4dcRfeZ92ZHmVfny5Hi0BSFDJ/SVPhvAN0E/GURj7/eAQ1n4XkFrcUVQ483I/rzpmooXPCOLJK55wU1ixuQ92Tn/oBVtLpAbrgB8mtBb0sW3OY7b8OfSGyz0bhZA9GYKTgZj9J5aQSsd05GlCzE9Y0uvUAa3UVXKjEaPwoOsYMmx10cCpIyr5upZgtCZFQH6/NzB8JE8AAI+l0TWcjbWBo+q6SSJvgGq3znz7x/4P/6k/fv32/bff8a7vyqIk1trUZYuc8PVkIqgecDUv/Io1Bcs4ZqO8FUgkz+t8+VUfH3yV+4BEo799fejH1/2X0epOj3HfP0aX948//vq388vnD/pOPSKloZSwmWu6Loenquy3zR9f+CAMjtyvZKjFUAl+BW2b5iGDWbr4kqZHJPuX6g99+/Pr6+v99c/++n34RwNVPPC9KA6n0BynQlWNoRtdrB4SH31G7+h/SEYRi2vEBPh2d3KlgQRMF1pULUMEWYbaFauoNw7SUSksBRxRhcuLviXMu6Lhx9rYolvIQF4PINSsJL8F6dqxcfPXF5/ssOKAF9sIG2/kb3B3Q19GN8gAXeNN68OuvJ1cc+T1mk1NQ7FDSZCHY/QtGRJOPcf4g9VXR26Hwsmw0WXiYM3DPd6cekKFE438410Gp6s2+ZFbewmDnSU7gYTZD7ikaJRX+mBN3TYK7WqW2g2qBcKTui4OF+8EymC4ICm+zCRA154mKPCmet1uUsWsC4wOWmHXw01qcnjypwOgHlsrOnYZOTZaF4i7d6DBVNOMgDgdvUvgEDPrAv2Sve0fIe8slxSzk6LLPKj3x/18yZ8NAm02B0YcKdpKsfx2eO2MSjQ/MXZFkKlXQvdsw+hxzcvHHpwpXYdFiRAg6wpehIQXocV/Bu4kWacAYlsBo2XKCVTb1rd1WaLry29R1WwlaC3sEnRIiexOnmCGl2rDsCJmA5i0iyogLqBHx1EbqFvhpH+y1Gff0Z0Zs4XWY1nOILTaezAz4irp+chP7KGJjlU9KNwm+qty2O4FY4WvWgtX8ihmBo+IffceuqTZ5xo2bHbZyj+xoeLYoO8w2svQb/RnniE6cBfN2WMjq30mhR33k7FPZP8E3D8VGtl7sCRBRinuUYEqXvRhgSO6RLK0oHves+cIys+2xksMceHknJxLwcJA4pSxkIMXjl5hMWJbAkLbJE13V6SsC3//Fo3A17E05XOM24e7FPTmv9KBmeNVzOP5dq3gTqOq2jpZ3ACr8SVVlNfdcRsfN87nJ+fz3Pe83/p+319fd3rebslUMI9sj0TDYUZobF5y1FheHaUZiCU7ULaDTKM1Nbrv0XmzXidHtKvOq8voEghWdZQDUfmHBE5nI4vJnNoUBwCd/TK3wC57cmUjTg1EL2huPBtXXMiImlwhnFg8UYyiUD5OwM92CuSOaZazxzcASrdRqUhi8jW0fdRxuuz+ttsp92TKE7Hyi2xNpoyzAO7Kdz350toadDFMsDOu8WHvjFk5b6crKsZBPOFjZbr5ouNugSEecHmLdezmG/6yfPm+b1saX+PragbS1fVk2/RoAnsr5G6uN6G6ovtXCayGKqVOBMNywsP+SQZ416/EHDF/T+BwCZkloc45p8ofzdPNU69G9flonj7nVSGam1ReERgET9fw84Ma5d22h67DZO6vFnSPzbxstk8CD2NkY67MDBtjkXip4uS5gZ7FcUzLACsfDyOiZW89Lp6DEdJe9z8JwueJzPCRZ3ZW0VtPhGMmXDU73Lpt6u1gV7NZCPAMiVeYmRyPURnkNl/dD6K4Dg0TQ7AjyLLCtJY1rkcokiqn9ZISrUSXZIDz3l2ShcEj//GVJ6WdWjbQMWQeIpV78u2uU/0N5xfgQ+J7dL9/aYYT+rtYwNv2aHeyyI+8mhXj6Qoh/XDmEvCe961zPagPNEvdxy9++6zqWB/4x/f5/tv73//tPbImDkYF0xzj6wvfcf/4ziJer+RAisDH+ejXj//m9XE+6t7373/oajQNToHjnVvvl5LeChal6tPWdeEOk+pWhC4MT6Epql6Fb/im88s/vL7/y/uP/zLz77M54sR7dMi3CvRrcMttvkfybaBZX1BhIw73ndr3AJuwkyyqKuGWD2+ORTi2N27d91L8xZoEYnEUujO6GZC8g727xoRna3eD0tEcuRZsXBKbSj9h9lQirL7l1d5ka8vwsQKSmHuZrY5NtLYUiQVssA1NHspboPKcJHxhI3OO69a01kgD7jAV6F1GT5nwJEkhZGmZbvdTiM511Mtjwf3TrVMgyZveeuBuVELidtApaPeDpz7S2clXgpyBSjpI0MOyzRTBKuhUORA6z6GPKVlk0wP4Alg3D7Atxg/ksw4JEBmNtMyAAKw7wFUs6hqTGARkNo9ipwoBwP2zH2GQv2FuMKGkmzcPvjuKRjvBlT/ZhbE0+RkBicqArECtZJMNSngP9Drn45v627f6GJ640k234Mt3qS/k5KpTiElcD3raHINpJ4/u4hYMq2uMAw90zSlb9YUZlA/rSyiPDJQFv1jRwskkUZqrWpw2HO86IJDKXSQHysYmVBoUvrABeYNpFq9xUDNr64ugebQGYRYnf3+uKDW3YZDrfHOslZZh1czFHYYLyzitKhu54vaN504eQbIWbRsltZVxjQg7oprHThN4phmabiRJisaW7DAFZWgTCWiFnv05AtZg2YnVrFyMuW15Vu0aTRNQ2KRD7IBEeos6sNkT8a8/wXV7soHmHjkM7hZ9rJdbj+cgAceR7qc0BsRK2wrYHoRtX0iQhdsR0YSAN8iEbj16roxt+biJ/GeCVzS2vN8epQ8BYYAZlJsFhshMVHsxXvAluAPT5oqIAmeF8lqto3/WO60awQY4a2B8cnsddoW2e6Jl9Ikx+IxhoCmrrkBWc3xf+hA/P/rz1WP88n59f3/ND/3244/7dmyy8YmrgBxw1+b/ZtUrUSWtajOM1o79MybXEQ5WscpXqFHB91xWvd5TJ8rbh9OlwV5wlJlmGhzwJkJqN64JA50Dr4zHGplGim5BzSrWlMpezc/K+vDQ1+aKXuZ5NneGXXtOeuzx929FZtNPbFFs4NVLPuX+Q8Wt4mgeGiVI0RqCLiu50IGidZJhsJtipjFgDgmeg23ES0ktNMXahh/8LLsrV0oa4YSuReZNAhcOhxyPnpJvaUsuj77eGvt971xPRi7ifQFz8GaaEuVJGSU2DI4AhE7BQQQC9HkwQZYSYJR0gAo2aYdr3stK2EIOOyQu993yedXH6dc551Qfn+rqqkqGu051+BsJ3Yvbe+ty+lD9UZpCzeTFEokas48Nl/faXFCJ6+RzcqW4LIAXC3CvsdEdXYw9Vw//7rfULLj7OFJG20YhmVaZghC2USt23geLT5hogVoRRj7aeYigTF5gnCm1Asmcaq5Ze27t0RazTuwI2jOoVvTZTB5dIMAiHsK7wnZgPETa2DNdYwZAVMSqLLHY4ADIiTqK4oBTo7cEz9jQ1ZYbWiSny8bFF8Rp1givo5oxpHrfeafP03H9EBhh4frVXLjsyYJ8/RP6AmiWgHa1cWdKFwGJzqlzTOJVMA6mf/tj/vrXP/71n3//42/W7xptmVO8ZEdAg0aN7viD/n59mqf90ezW/+l///rHP//Dr7++3vf9v/zz3/7n/+XHv/52jQZmPZKGDn1rdCm6KyNto+aM3kpJ36zZWUJHB6AiXjjf7rdfPvi6v/1Pb/0Ov119u3qm6anEM5VLl6ftpZugkrrKgJKBF90WVyZZFi7dF2rY7h0Yg3SF3l+m/CeX/PMRztigUVIL6CfY5tG6j5IPQqJYxZyUYRdz5gQrqMJWM3uvOASUy5ZN7T9GpEBkEJ09TQl9chM7sQ/BCmGn7GGv/0Yl/xmCKeBVHQ08M3PkcAEAvnboQ73WeVonl21Atg7dIUzynFuvtUF08Sp6HO6waaZ+fmlewFNs70/zYY1XheAISDPOYCV9j8YjeHEloqGAC7RXZ1HnjLTXPwsiVAHIM1C36kYmh+252RKcTOQOa2NsVWFYcKbrScg+vbu2oIblZStlmyxjDnqSrCmTvKHApYKvM5G/U14ejrk12qHQCYWctUq+CUqXFOdtm/54Ab+In/d845DTGlXbGLHO3BtOLZYqHNRNe06MckCfMnysWOML6U3Bgd/AB3CBK98EHWP0TghUF66AqWlJ6oLtWoewGwGr5Ljc/bRFlLY9aEe9TcnwNGspJGCsmEjZ4MztV72uwlGbYRJQh7DZkc4wu3X1iskInmwF8KxjfhnkRzSX+Inkys2jeyjnQFUtxsdKaQib+z3vgurFHJ//bkySyfMYZG9tUsJP8R+Cia/GL4TT5qqZ1KRmkiDqaf8wdhELGa9V6InZe6LVBZfqoYl+igIIiFRsMPBKs/ATesy0RmxapHcB8lo2gUZ+fj5299DcpKSlkZ/7XhQnnPJPBmGlWmFPmJU9U0DSUcmFk3dIz6PuFaWQVCLqUbHfry4rcUe5INej725ACNa9S0jArnBxOUpd+Tr8uMo761aFiYiHOWnAvDThS44lX3KapvD3yRpzq/pCx+2Yv32a5/Wpj/vxeb7//vXjrbfMrxHVnTB71KszDhQkzYjxNgAxQ+RwTZR1eD7zkpjLxH/zQiDPiM3bPF/v96vOdNPntdGEQbUX/oPhuOthZLjGRiA9HtPHdFYZ1g19bEjX+jUyEytP+FK8eOEEH2ehKltOOUYeoZm9wiSbWQrq2WNxsxxud4RZJ35acmPlkxT2/HBkb3T6BvggDRii9oLnbrrMPJoHK3MzVxOoziPNglhkHSDr7tEST5Fa35wbMgbPx6SQmYLnqr/uj3nXW++v91iedw4zA5ay/8fcOTlmAEzy0MqxJkbPlI2vgqYLaQhtrkEt6za8Ib25kmL0Gk30X0aDF4d9zmed/lbfTr1YfLnokzWay4jhSXUNBQau/meNPG3C1XTCosTqmolCXyTXhUAVu4iHaObCM5WpHd6GkuxmNmu026bJt1yO4ybIlnHNmsVbLtG5gcPLRN6I7M2LyBs3iMFTEL/fOyB2yWShUTMkMad6kYrgseDjRdsUPeAUhOG0i7Xhww3o4U7JEi4JqgjmfIc39QwlqAz5jUDBd8Ba19oE4M/WJSfwbwI6wIYkfV0r//PoQ10cGV/vry6fToeHP+Cekmb6/YN1JrTYG4mSVXUTJV+pjFIJTmQDIeMszJLvPO+LrlS446+vL/7Oeun1aao9/PH79/n3r/s1f/2X+9tfv37/Tunj8KPrO+vZtiMNTE4hdSqxk7apqzf07U/f/vf/6Zf/y//5P//pV885/9P/+Pv//f/5z1//r7/9+w9VtTwZIHVjNuo9t6E+FaKhs0wleSPIwVzVq7SBt189/elv//Th+dP7n9/vv3muCxqDo4sO/l19arbcHPtCvRURhMlCCgTC7tyaU1VDNdrl8o1QGFz8bz8AO3ts1uLZEdURs4V1XQVbROw218gnspu+G9y27RgBy5IxGOa16BR4+hG2ms+t9mi8Zv0h09FcCiyUtxwnS5+Du+5GXBkhHlUhyAaxIv9K8MNPxCxEHWwd4OKQucFTiMma/DJG7GJz0LlflvdQ92gi0RBzkWnADPbaI+p0jsAgowjstJExO5/gGRJWzi0rblI8iaLO0/53MdJme7J5kwMTWYZRsWzT2Ha1Xhlx+G4CCsuavwCDlK1rLAh4xFjllI8HFSCxKk8TWfu/8Ig8kxtSNK8oZXT1RIA1eqOgq0hxlDXiTZQDWZvX11JBg5qa15/q/HL8J358e6XjFqDeM8Q1pBs423Z0eSPckdlOoso48kwT8BewIjYlUe8jOjPXq/iG3pxbfg8beEd9XSj2qOoFjPO6RI8LHACxP1QTzSrVMva69Z7bKNZgjoOez0+Sp1BAKbbuC/aXhy7qxVcd2zhy4QhjMX5yNDjB1ML9gk5Iqxtysp7/N8B+RMTB83MJPCIwRpJBAukui8UdmwZlx9eRFXbnYGKYul/FcW4kO/FB6nPe10rluXvjIlzxWT+soGE8aisS4IE4hvkUwUdOwnRoY50lm18KJSQjPdEBq3YKLhI3oUKJ4AAezDMWgi1+VMKykg6Pqoy+P4e3oMbX7rLcieV9ftH9Y5wFPKMtV8gYcwdouBMZXo906lFuteCtCKgncMrJiTKizXok38tq5PeIrH/dKRkeIrZEvOtRQsb7YJJm7csHc5E+ZQF6zu4gfoPv1OtHqcnmJLWUbqQ6UtKJUcHlw0NcVNdRn9fr6/54z9fhHd63EnGZFyoHWzDduRP5ZlmEla4MagTatx/LtLHUqqvqfcGDvuY1jkvXffj1dU91t7t7IcBCqLfgp8H1J89xo27gz7hQyRpUR556zbTdB2zK/s5ygUP1/kux6lS5UGO8pqYdczPzhoRBShBbX70btPAu0vZ06gUrXgkE/mgqeV5ZjRglCaTutg+8+z8aLzXWCQtgB2IUHVIZS/9NMdgKbSS8t4g6onHLwMzbrrHv5dXbhkZaPSeTpnDtd/ZeoebHe6jxdZoTLMssXkL8ezy93mSGRlcgksw3tf1pDQySLLpjIVyNoi9gOsXXldTfYEzLQLgSoxzI61X9evHzgx+HH4d9QKgPPf3E8YHLeHSq4p0YUKDgBRjU4HFdutKNssN7AnOqMOrTABs1sFDFR18YdkiOWJFlQ1BVwyHXrIFGDVzEIzuxhxjJyt6w/NgNXIVgKcJGlQQqmqwdNumJ3Dn8ssmQsY96I8RzQnxoEC1OsSp9f8vebmxyjTvyJWtWZYyMhautMMy2vNaqqTDeCtD33vKHMJnvwXD7kANCWAH/Wpyrram875Le1x7Q1pUFyENWcq+U41IH/D6nwoJxysf3y99/v2dQ7Opbx3o3K8UUSkPgvWFS0IfCBTvBhB27TBBfRtIBHunWj+8EfTWfrVP9mz7mu75+8P0l69X0oQzLbB2A08IFP/E6VedEHEG/6Kra1rY/fq+/8q+vz//jf/r2/vj8+vN/5r/+9vr//s9T95SE3urq6hGMqQEPMV1zxarWiHz/mIFxKZBfHtLv68+awmtepOtF/DLnP/v9gv5X69/n/ijU8O7sdp8IwKZfUIVK3FB3+lEk0NstEwUHX03z9DRKNRjDVeK6hWw2i7VQIJiJP9rlIFhQ9A+HFMYqV+4zrIS4qwPwcrXH7TXlRmQ2ZMlbThVO395kXavccb4tU9kEqopbsYKgRnXXSG5EZ81dH7KE22ZTeEQT5uasbEhBfGyVVo3ywe7dhGmqQbkz+9OemBkjkNrcBwJEB1Ksku8KMvZX9trgIlNihADGMouQjzBxy8Vd18wqB2ANTxASn/QzabVm9Nhuk8g+J7y1gEpbuZT5IMpbJ+wEw6T0BRbbsKHTxs/vbXC65GskmqwLM/ewtJNkHq4VUXlzcaRxjRHJI0OBgyI9V1kujKlrUBFhUiBcfo9Y/sLQqDLgo49v9fqnrv/w/vzHPi/gjR/X850/3r5X4bN2hiJvTzvQA30dicddkYBoxHrh8AKrs3C4JlO3bZ02fOtt+NgSj+rgfBKvCKQA6Y74Vk293Y0QcBMxZt6aA+rH21/wV6hxnbxMonJlNk6yjiuBhvToEmR/lc+PqsKbJi/Is8VXJqrv+KSaOun7a80gFSmp0NA76SwqxvT/xIgmEB+cBt/m6h7WH+iIFSkorsJcE2VowIaU6hULwHmgHiMgszc62Ovo6cKyTOuMJ3KkbKRENoOs8SokpgdkW5P7NWguosvxuik7Kz4iXu1Hcn8RGg2GnODnNplQ4uz4mcpvjIbBWwN2PFSRtyljoeMadPLBoWD8hlnZPxEXVaF4+PQNUbBvsrqztiBsOwd1Vo4aUiC6Azy+h+igope81ecRA8e5m3nw0Tcib9+q9rC2EW7Q56MrWAyUOxICcRaGu/gZ1ZxH0pWEKYzpEdtjd92v6Vcbljz3vl7ndL/rdrHw+vxQF14vne8/Ps983fk6+PH1hnEFeGaR3bZV1e0ddVDCHTRMVklT8egqGefjrRO2m+fLjkZ07tdXV79ZZLVO89vrNMuFk0ihBokmy8fU6RYEuV4Y6xW1BCxUG+wWphBTtpPqk7AbRAhV2TSdisvCnu5wezVyzep+PNmnKFoj1osBrERj0AO48bBrWF0autt+SMTwcmUjAbb7vDMyBjh1X4TRiiooXlGYEPpFidcAVbYiy3DU13m6NfDB/XHv9Zfufc9NRLuAJNZeCXUhWbxGVXHk8xBv7sTAYbLOL9BAKv11ZOnkkS8/zIQiuPOLtjG6mxRoizfZSNJFKbwLlrypc3GqE/nEEl2vV79e/Ox6vT4+X1Uvnc30q3m50lG3n+I2F4V575Viws0T78fiw2rS1kFJcAIgmEUtpKCKZedVjk/SIo9DZgpsetiQY6jLyxXjbD2ZGjEtFYF0gcRjOVHg58O3GfdbrGeBwfLZhpt8bEoVNUmyWyaQWdiV3LIjVGL3LoIT2j87OeOC49a6bHjEXir54PfspnAaNyH715F+3qnigFHyCjk5HarJiC+wKjWyQTUm8ubW3MfHYmBM+vDc1XwPO53KVrOfUN8+MPqO/APTLozvNiAG0Vo5scyzXjuJ8duEDMrpaQgcqboamJmoWvRD9+vH/Z0wePNxawm+HFB0dwuefn18fJ6PD3z+0k2B+nobbAyrUeyZ4nzdH1//8/84/9N/88fnfPy3//Hj7fnjX/9l/qBVpPt0ZVtKbG3idABSp+s9FiPzLdy14E/J06D05XL7TzhY3d7rha/Pen0UPyr1nHdzXT1zu+tVkO1OdG3U+7ECWRsNGiZw54v+Ms+dssUjdppoCokW3QdJVXS1R7RXWzNwnOABUOC7uD+n8EKzLBfPszvnuIoabVMoNEgtiUVXU9EpCqo2hmFKqSjN6ZR6ZRyujiLpFZ1QskNyLduowkVWga0samplEbeCbgUFSRgaNqISXVZszzQCxenRJW0mATLG6OEcVua7rh4QbDdL2e9Xvp20+I0NyOzRROLSN088yOIOGNu9G73/Cmf3XNDqhWTnWEh4Mw24kfzsDtI3+bHviurZ++kn5TGQV/acqfSv59aTk5YRE8jc6kwzyd4i4JpEQiRhf+lp6GJBDjo81FpZE7QZT2N+L10zOUszmu0pFeyp0hVfn11/6fOX+vWfXr/+A/2t8d2/f/f33+8fX9eoJ3JmhA3wJjguCJQuXMIj5rCBRCM+S8CJMxhjvljQILjTDRtQQHW9zms+8Pos0jruRvXBF2asr9GP4bs1bOD6tM1mHzNJTh+n376/ed7QOxl6BLU75YUruxj5ODNsgFeCcPD17rx+zflhV596m9UF+pz3oHHiv8YQvcsesHH9ecos8mUNH6UNaLOrwl4ENQ20DTzxrLFvPt7UjCeW5XXnozIHxO0f6TrdsZciAmVOrqgHYP+5DNgVa6IBO81LKOg4V1UAa8PjYkKhwaLGRIpD4vTiJPmAxpY9euUUBxhD2sBArEM2KhjkXJFR3Et433M87uDF372QdRbWv2vIkxGZdz+7Qq6cRs0B1YYPNEWKhUGB6FAk+TiCAphDb9Vs9poI7/jIdYh8cGGzNxnERUT7CKPY8o2k5kEKasMN0jcH5FgokGW50a6oS7HcRcjePIWpMKDfxHhQdb5wOfVWN8/152teL6NeLkHugy68zsf3L31IX1/6+OR9Q/f99W5cDVyesEQOgpwCswLcladl96dg+OXsf9atiIQoTliUTQFkoeqzWnNftz9/qe7go5lEsW1xQAEsXOCQ2Tr5sKqAS5mxNg85Y1e8ZOUpvoIVFR9hHbysXx/NblTQLR/Wovhunrw4XdeXQ8jJZVvsCCCSIBPvvjLVNWqeir5iscKv2WLS2cm86pc8MEtSA6wRzyQI0cbllF0Jy8kAGseh8P79b/P1fr/f/tK846CMhgwZnMq+TuCdPfPORjKFWhVHrMKZAUPsBdM6pIPk9pSLWy2fh68K9LWh6KFzHYwno2DBXs1fF8lX9SnUcRc+GM/vq5uvOq9P9ulGtFa9BGbN2cc7QwaKq7BjG040bRSJQcQY+j0+pGBEuf8ZZorwCFXatztYQHXRoxyozIHnTce27Qy7WecZtIB7QkCol0fwYF8bImmX64tDfOs0lVag/H+LfMJAwkFMGOAQgSAHUwYBKoLL+DhM1Wz5h7GaAbGsG1T3spMUJK9NMjMen2H+DgHOprxU1tYQqfuOEGnv8SMe69gNDkqbabZb6ojDlWAVeMQph5BdtYhAi+nxNUycktX5ui7nu78gqLrBm25YQXakl5LcbG5cdMAU7G0gTjP5dtyD8+jKHBzjB9UsEG/UqVqipU2zC+g+xW+/1l/+/Pnnv5xfPtmNGf/+/vHvv12gbUo+NeYL5j//F/7f/x///F//+89/+Mv57fev/9f/96+//fjxfkON19uvjypXEjctXpkA39St4j1d4jhIbwJSwI28EO+d/vqsDzfrNC7MD/Kb9QN13T8qN4UBo0kOAn7B3DLNyNGj+3VbCeYCahpp6L0Q8Cr/ID6il6cLDqdrK5TiXGzsgauhcehom9nTo2hz43SD7ZD5yULk2kFSB24gIdZ4r+rfXqCKxtA1Svxxlmr0ibxrnXJ57k8FYYvtvJAWE/MywV0q41onI82txEsHGsi6Hof/WM11cHpQqAsXD6DqyuwEcgEiGqrHxaakyBlOyWvBs3z7dOb81G8+Ek0QP+VVnth+SnGK7Q9yRBRasU5B2/b4c6aD1mvlJIcl+nDKmKMayEQfj0ihXThjMTFNKkQvl7en16JAGKtsSTRGWSk7Ac/BDX6nfmAj9Tq3cxfpHfCHKiKa/4mgJ9eHM4b7sZYNmr7lSjxYl3xzZFF30B98/aVf/53+9E/1y1+6e3588fsf97d/1/fvIhHDHgLQoOaqTobMK7FUrLsqsDjLTcAvUnXlbtyb67gp8xRY6NTqtfkiyY/PrsYvL/CFkXMqgFSPdEVMwf32F8aGcJMslGWDSSv012uyas0t330+VHiNlcP8IFP0dr4klSnH2k3gDlCqy2kQ+iqg7kH1mWlEW/jBJ1v6QbWjLO8H1qTZZ6HtvGfr3I9PJf/rScfccr1qAfGNBlduc5wMm0cCRtIDFQsDpV9AckT+gsuJPRYSSexFzvUog5JXSfPYa3h5jGpxt/597yXTdGBKQ6I9ymU+0UExeQTJt4urRpou5BeoRRj31kPsf2mH3fPoqevDmu24wP8aXjJYZ/9FIr7LM+zOal2ObpuoThQp3Lv6JPchucnxYWcOjLp8ewyi2oycaoVa2DBY1oKAew6EaZpm0iK21y1/btJUtLSLer9RJJKKbgHNmmCLMNNeEiDsoRmiPVzu0/e2NYCv9ME55/XxCehVRJ8+L+rO+zXvr55f/PUdH1/9/esLV1/JoJ2VWQRqUzjSpAMEewDo5FGvgImxXXg8ZCccyXVxeU/1D+h98fHRhvDtfHx8rssMNnSKj2Di9cKA1QYONoMzXEM73QWIonm9FGW4cNzgJlFtrFAjHeGEpw8tvFjDbg5w8hQe8P0egBqhgHiTzbQtKjm3E4WVSHYRhZc+mHRWNihjGmkvbnAcEVyd0TVeQaQmkWAYGnE9DiALax7mDVCLGkjC19f7n3/74ffMcKAZhWhffn8gDl1VnaIZ6dAZFOppXteE0F2FnvjYKUY6XCisHlaLE5xhx2Kh4+k030izcU/pvPoUDk91VR9X8/iArLPD9mmfcz6rt6Cykx7kYlWBaJUDCQYDgFmVPPJwlbECsEka493YQfTmX2HZeVi44/yDAguctdt4xUAmVweJDMReeDFE3aZpk0HyMwtPBERG8gDYnGQzGZl6tGjD4apTmxSTwrhWwpVVm0NBnsh32Rn6xDiOFJqWTFJIRH42EvNhFHGlbmI8Z0pMa42f7TsXyHgKGBN0PZZJKhEvqwkNCYZngVDqM5SfRRd5HyQDp4vXbNf14XkjooV8DZhe+4zLiR6yJxhJAbj6YRW0bjxU0ZrlaJ8E9Ew1Wbe6EFMlohxKuG3YVdvlFlTCW+5XDUvmOYbFOjk6CPFVr8/+LPzjXz7//Of69U/17Vt9e9Xp19f59ffffvvrX99fb/649/02Gpxj+5//+sdvP75/lL++9Lff1XydffTcoF/8YN2I9YAKodJKbXJy+uKi79N+BwFam9i1XksGoar6E/qYV8GHvFbjCE9pnC5Y3dYU3FmxugCyo0/mz51ea8qxBV2rps2vTl560pxrEGxau5c8i/psnEXIJgTw2+AMyjicDXaI5CdPoDeFMaKVjKcLKGSDF7zuVrPtMc4DRZ4o+uMlih2GkFknjvupJwO7TFu1ACMuDJmPHpprUli40QLZg0hwjRQCsaSpjXexEX0Nks+RkpSzo1Yg8fLPO7yCKRWSD0OYzflyHcaSlEKb/caSXbuGh6paLDqGwd58mdgcUiiy/sEsIostKTZomO7tYMP2Rtpl3405h3xHPEEpTJBEx2fFR47AZZhPyGfD5Mt6L1DcOEr5Q/CR4sby3sn7GRKgymNz4ODTFo1sviLaGCyua0eYo2xB6o/++Et9++/87T/1t//2Bfj7H/f7v53f/vr144fEPuxMkOySBzYPZ5OO49pBEJFk9Ccvx8sAF7ZCJ6SrqwwWexHy7uKZarDFprpKVZXGK/hGl/ky36wlEsb2JQdj3TtVPTbH8VMqKuhDNi5Qlxzfx4NhTKHeg8M9i7Wz6K0CI4kQu3QTTx+FJj1X91V1+Gq6eESeLM/dsYzklyXpNVyqDD2em1qX625/T9vGak5ipVmngg3B7cXKijQ3hopMjGeRN/s0AurvxG1ynGrCGxhGQe4clW6RPKW3DrIkFgUFtIiKgFwc4PF1MPCa5gF0c+EGRYv0NtkpRtfBc99bdhK4NrAnCjlEhraXKPGwhkkrkrMj4u/++KigKCHPF5mIjr3iy8jemySjxSr2U8wkXqRjcY6cIMaov+c5xfzJpG8USv3g+oaSwo2bIBcaVWAnCzO6o9b2J3Tb2ryFBH6atraIzj/zvyr6wodCwcN2hP3Jlt8Rdl2MeRse1FX3TdsBiFPNj9Mt+t5XfX35/DH4Tn1JhTIH76oOIh2vRdFuHMSK7mIPRSUTBtB6WPK5J3d48rnewakZ4Iv2e2S4X688xqx6fL7rZ0bZaNDnVR6zXwnNzstBa3jIWyy9ryyjWnbE23X2a5JZmELJJ5esrXX6Zysgr2zUlXxTpYkbdeLwzXfzRBl9ySq+ui6q86KCJjsrXHcURCg0+i0M7B/v99eI4RME87yMN3UAcZy4xY1H8W7jGPNez53f/nj/mIvxyB4PlCwB0wnqSJZu9HJBS8aKkTzjIZxoDZC4xVYBHBQ8oX+L4watRoHgMVkt3CNck3Ua+CioPro/DtkuFDv1czxscF6vD2HgPmW5Pk5szHW89DGJKuCwxDiwGyCqmlbwANNkscuefZazDes5FpcYy2sSW20o95XnZlfe+r8umOag0BOLdEYmkeUn70oqllZKnMfXWg2UrcNWRJfBO2aj2IQsM8vQqrwwRDbzn/KcHMi+jOZnTyJHTQVQ0mkCAzQURAZ/Fx/nXHvsigeUc0iAMJXtehekDGugsBoGCq4hO76o3iKM7FVPLxgBKYtTLE5FuYmPbut+NDR8l6rNIdtz+RjhrH4OXu62EjEHjDlqMUqPHH5zSZKyOsYvGZ2KAqsSkJTvMHofPuqNySQQzRN9PaUPFBKzUazqIqvbXR0A69sv509/rj//6fz6a51v/cvHR3f9+on/5i9/+etffvzbX9//8m+eectu8Hzwl18/P0vv+dEvfZ7X+yWXmuTn6+MF47Uae+ET+opS3ia64nZp4oB3We/QvWbSsji0G36hQH4G8rLdaBxNRGbVgnhOFatx+4WapEWhOpg/MZMtnnJxHAZ6jcl8b1gSaj/1gjO0a4V97/s6hQIbTaH29gzcsqZrZQaPVSUPa3Q9thOcgBv5RmeQSPbAutroXAIG6kQYEw/vutH7Z/vFzzkDdkXzElPp5hHmbkWYMQRS6H3pmCzJZyDK35DSxG6bVJlM8zPsItjknTUNbZpiPhPYBpOnjhwlcaSNHdk0dizi5Bg1dBWcJFLHgjPkR+FnP39hbOSOFLibpJL39UgsoHSTzaM2Yp9yrI52Ymi7Fq5tvE4N9nq9x76brBLJ5gpPje7KN5K8MFz0MjQow88/GllvvvzTAWhRRV0pEidZTpWvU+bsVX9hdVtVnPFBqrGA4p/q2z/x23+u1z+yXn3/Hb/9y/z+r/P1FiLkIheFkRqVEGqwEzZaTV+BdpcHAWA2qob0E/ZkPQ0VlYm6VHkeV3I+oGYakAS8vi7t0VyO37PtjzV4A3LB0lg0rGu3TrR2Wxh/qaOCLQ6qj+TiZWihawMcADLZcevzQJeTBmCm665g1xAvaqZZMzrC1Hkdo2ZG7dMbk00KfbJWGcQAHtfC25cGLPbROt202J5bpZNUis2zWTbbdBZWwb5eR6wR6/rm14cXwHpy8yR7MAnaStJ9uNa4pxldaJ1EAcaoYTspnegYgtKws7gOtIBx1HsbyekducJSezfBrX1FRY8T+GP1h+mrYiRU8MxUU3mAPFxnRV5XcyWv+dofdT3j1t3fNc0Q+wl35EU7POXK5E6cKxLI97QZ5UpIKapPVQwVAYHwekoeOFlSHPnuMgvJSwWgU0FJw5OWsTX0S8XlK/ces97kry2GCPWXj25nIGNq8VVP4STyfPjOdn/V/bJ5r6qRiNaPF0f8eH2cc83P69+Krz9+JKP3MAlYCb9aKRyun3QbaGPv8pnu00pnMurnY8tdPtHYa0B55n7/+OTn58fL55fTNjqQYAM8largnBuCcbqM4x4LFGouCM1oJIsz14CKIOr9hP9EA41iSWhSo8bV2FXvO/Dweub6zmDa551jpZGyUpJvBNql0f35UrPOi6/CR79YiTXkPhjV5bEx0r3z40v36z4UtLrdM8XDKRPX1h2NVPx9htKMTenLX9B8ad68vL4eV7LBiNgDcyLSQpdnvFayaqwa/aQbLIRvxGcdoMdJ4EA1DFREGjySaVcbAA8+qxmrQ9cpnT5V9XGWgWqeHCtdXS70qoe62lkOqMq5pCe219WxLmOqT2Izmkn2oZ+cVdqbtpXaYA/R3iQwJ1usqEkAOEFXnZIW/dej9VNCYUEg8siHEoK0438mDkx8PHHiYtuVYDj/Wujdp7ij7sOZY/37ynML03u1D1TNrHzlqkRsxvI/CeyMFcTcTYSuftIWyxothRCI0eDjtFzM3xW58IqFEhMGGi09Kj3npOucO6t9KMYjnwqeeEFjR9zkKo6WTexT6vY552tAfmFirgcxiSqoPjECVDf4zivw8zhApUijALnLGzSdASgXraFkROS2oq2CksK1xz/LA9Wwy8arXmxDxY47QmC9jupVp0HSL9aLv3ycX3+tb5/1+e112nVAql7+p/8/VX+2JdmRJAmCRMSiZg4gMmuvPvMw//9hMy89vVTlEoC7qTDTPBBfi+o6pzIQAMLdXPVeEWZaXz8+6vz88t///GrjnPnxm//jP9eLMMp+/fZy/fjx+nnbUOGEKaEEvl64B2PdX1fyVmNyifiOoDxNGU2VqX7RVTgqgHr598+aF66vXIPrCRh6Z1TCS6jiD7xcJ7GUEGeSmMCFeoYi2ma1XUF+/HDM4fa8jpkGalO+sW0Czx1eauAYqMzA3UMMMzTFgn0soLi59gBjPaxUoomaWLqRokWbPEDHSuQgU2GTau977Hqwwo61N7pjpTVC/81gCO2hcbYHXJG575oJPH641Fs8Cf92T/pePG26agjyzijQJRxv2wbLE2RFLRggEozTvZ6kjl61PhAKpFCB/pNwYA/8TceYcUxEKJCnwTShhgvh5WQNuKJVe6ikeT+axEiWih4Ua1ApsQLqqC7wskcf5vt0gt+6a4jvsA+g2c9IB4MJwnZixeQpxmO2SErPIIqFomxVLBdELUAaBFRIVJ82y5/03NHhe4BDmX/4x3+Z3//7x2//QZK+/rX//X/4r/+pr3cnJha7wkUfqS8G0NezPe2WJBBDHEf+6CBHEID2HC08gjVfcLoFUr0xrU2Q0MEb79a8vzp6hGsb1zgIZr7kIgUf0NlMYihZb8jepYPePnAkhcZMs3Y4AI4T43E5h9O4hDiRqyuoOEg3x28e1pXx9j1lGz5dXx/iaIZk1Qv24YrMlZcyPyyelY1sJCYWM3TC0M/Ax+yco6YDHYevyt64FsiVdoEJllgS1gskB3yetFpnb0CoRgVfDHYddJGmT2beOJX2DuNe4gY2Uu75rPcVxCrk4RHglRmFcYigjgwFMz0qcc0Oyd1PL+/Mg6Otrg/TzSDUCwUElffOz6+nCnancgOhSoPq784TlCF3fF5fVy7szO+FadDpdAxvkuFPyZfNqrO/B5CfMJZG7Jt2MsjZRLJPEL3XugEgKcEtqEFird+Odq6BwoJuHcgB0mKEdMRVIa6lxhQ31Ce/hWbcwrT1QtnjinugZ+qc+75F/vHjc/omdOAX7g2vonzfQG/6e4URQWwN3m9tzEXWYU+cC15xhul4ZGObxK8vf+G+7vuvr/vxOu+v1/k8r1K96sMAjbvm8UjiVfClxu95cJb1DMrozUmy50JCh6ZqWG+cKg/Fe0m35x3kyI0Y5W/faffQ0/jrBk898rXV0MfLuCIFqOd9dT706dPHMPtVNVVsQdSU3eb7+s79+TU/v5KwzBjy9b48U0Q32m8bM267e/0vmPawp/MReZj4laL9Xlt+pUwt11DcXIo/hZotAkTOoehb4c5ePhEJZi8DQUzxXNFgf0r1oaL0qmOh/Ko6Rccqcw7tsi6/pJOnPoUE5ItIluz2f4HuFGkMv1sDpSUmWXXI5IJRQeMeGV2ung3jR5M8chxmoKWgq72oteCZyLMgRI+KPf/MBgB2Z52PVPIitxnX3pYYn+wS14gDBZlBNvGbCwXa0wSnq2pV96Fe42IcmLsqcPcYZJVZmk5gPgaPic3n0E7/xFPGwhgW5YAS+i64YwQ/Bti5WAyKYwvZDjATL3pyF22aDCTdPdBIjFqpzQpwlamq3VjDQM/26L3kSx6wtmGqgPRIhRwPVIruL+nDc+8J4eZ6xI2IXC3+57Emk4ny4CLA8oomYMyJ8NzYaSxw7YwYL9YgBXNNHieQB1UlvKSjhN4UXv3j85wfOL+djz/4tx8vcCyOdTz14h+f9bcf+vdXTj7983+s//pf//j941Kvfuvvf5vf/n3+57+9//5+hyPPzznqHh3Pe++psLNBjve+KmwCgF8g7jlS+QUJI5YuwDoc8BzwjZV5wOdlWUO5ttg4RRgZLWlT11NhFY77quRhvCOPVzV3ypg5rP342mNTnoiXTDTcfpe012EwHdFmskTXxBstNEU2sbhScPOIrXa1BehBFTyeTkIv/SwmdhU3f5DPRb1yu3inommcttOKYgBn0V/SKAjoMWbMA0xSFuJ0GTtxIeig4AsE3/dQKs77yrgldl7YJe5W68BnWN6iKIPJ5fBk1nsOg4pkATl54oEgo7bd4vcofW/gezRSnRoe3600F3YIopkcjvncsXoC8Ugbt1uuTfnlcE4mGYAv36iNOXXF2yZVKPomIieSHOdoDGPaWAYmHuuiRy2oGRb2FeNC9CJ4WqRCjmYYS+ABDFP9bfdJV3gfY+hXf/7X+u2/vz7/WZB+/dV//z/88+99/0RXEmUxxkhqN2Oio7kQaOa7rmJ24kRWyrBk905n0USbj0pj8geoPCiIcbNn1NQdgzPvtiTcu3ax6liMgCP3cDhHVR7D72H0AcJ0JtcywRdm1EtBYrzWAohs08TthnXt+9U4InWj+EkyVPqwDcaOJl+rNGngmJbpV72CvHOc/GRdMzVD/IbQ8tU4L8ckdjMDZo2H7HFte2qq68iJeHqVavDqtXYMjhd9sl96iDz63nTjoJYZlLM89MRyNYYbJXn6RCEe+j4TWaDpjVSx94LMZ7L7RAA/ZqLHsBjjXo6kZz2JvDV0xsIFKWNNrVc6wYI8c7YR10QCY54MKxtB8TvCwRVQhbTIKRIZdMbU9aTZ6Wx6mLvgBdr2n7z8ejKQlaM2nqocFfEUhBMtsJnXL/8Ne/sJnGQpButctmQhlCwkkrtda8WJB8JdySqNnwEP5xdxjCNd8qLwm9N+QpUDRjLAD/1+FAnrpj0FqTDz2++fxtfPv4Y+92uAmUmdXrReCIAY9p5IdVWZxGnHTSiUa/MOVylD7wQa4x/euATe1sftvv758+vjJ+voo+rHx2vAUr1OmVBBWwAlenqM6cA4OeU2ph/5m7h9bd4m+pc586sxDJE24wRGBALpbpNuv9N0cflmZyh9b+rF1PtNATozVzAqDsaeH69pa96u/rKKI7pnxuz3bfL99e5puLyzTvd1ezg3mQpGt+tt+Lr7jbxCzT7g9f5kszBV7O2MBO4p8iBpqry83pXoRmTZgdlW8X0wjUJtVC5AFFjFOnq9Xkf4+DivU6+XjqRXsO48+hvHTR+4P+ujHZt14idGBhP0Wy5kfXEVMdKhMR25OOWaw1fylCKFwEPmFasvconPDEYT5CcLJsvRk5Gxo6w9dHOIotS7mx6MrBQRDwoXewRsCk5MgwrHC7Vcl8QlC8bwodbzCgZvhJGCXpQ6P5wiMcaySwEEF/nUFmOCsnoepUxUkc7g/RxDnBU5LlxjsWaGa5bYMZ751gDO9qQ/dKLR/xDLLsaWfw5fQ23KKhiF1UwQM3jJq3g2jrkA6ah4Mz+QVVBV+b50f2VTE1XyXHuHLvmFAXnQoeUqfBQtTWcm6x4cdqSRmfMmmgqOp465sWnBO7h/XtuoQRtXKF8PzaGP6LLawkfxnNIZfrDIKvC3+vGjXoe//cb/8M+vD93SK4lhM/fj8Pzz53/5ev/5s/p/TBKhaHy+fiPq5/06L3184vzl3/CauWPcDgOTRTZ27HgqVLgXZCJXLEyrIq60VKfAKlRTEaT0zGGL/lrfg1lx0dHiKeHHS5IfZ0rBc49TDl0Gir7NF3onOZt4LLd8BcfkPuNbRW8XcxGDwrWnL9JhKsNdkrm2EapKhaTilUt+NMZ8VLPrBFy1TvAjaVLgkfFdpbleqN7doJk5Ww/4NnO1ZsKw17OngBOjZq58IDRhRPG1A4kRWhEwsIFa36EAjUH2x/g91Tj7BuNRCk7K1ujvKx+PzyDE376RZjKpYfwvTiWspGDCaU84ejty2QE5kbQBQNNsA+AkDmkmCPWsNmqgkEl1ivSUmH5wRhscSG2SFhqD8tjP3sSEgwEWcYnaOaC0rPlMRx3+4KtE2XM+OF0y80LHKJHDqweCe3rl5gBd7Jse2YNQpNFZcgCq/Jof/+Xjb/+Nf/tPL9Bfv/hv/9f8+e9f71+jpg8B3scvYJFJrYyMkOXGJo9vxq3taLA0Z5JYihkfMeP/arDBAF8bSHAwPZgq8U7DDXaa+QBRTQfR0IWJNM3jBd4OKihhXrNwb7okJpSM11YDoOqMoXWI8VW+4xqC+AE3Pdd/qcUHnULq6W1qxsUIjY6j7hifZHMQUmsq0lZrXBUPruhciYgEZjqVt6Wa/RjxSF7iQUsqHr1SLxK90w4eGk7BI6MLepTtyawytq4cnvmWeMabksHbK47nuMU5THPUfkIK2r4Xdd7JiP6VjfZ5b3PeP2KWaZhbzJGbNJqb7EoxtADWQTc3LgLeVSjVG6HgJLvhzPGTKJg0ZeZP3ljEZDpaqezzm2nOjM+zapxNA8NuJ0SvQIrAJqKq2CGUlA0m8r2p4VAwJY37mKufWcoFWHsAD0CvTAXeWWo/+MANxHSvHTqdnQWldjhrvZO4tPVwTymC44ggVVDKEpLONB7koVCKeHIKz0zSdaAqv87Bj3HpB3/dX8hL0o/8YJ8lMLIeR40LJF8uFfYUVh4fIJgb+JGDyJs1XPa87yNSH9TXfBX+/nNj0c+rVDqnXopDu1lAewxt+ABhdwPYmcLtawAzbQ6/Av8NsDYx0HMZbwo8vJgnLmdcscNtGNEu7ol3mEhxi3C/29b9+9eHBq981KvJTW+Eo30O3ZV2TwPAePqL+RIINzhz3eoOBuhgCryx+jtKmPgoqFLbqVBAJGmo2EhzICvhU2kfTOQCuLl3HciqI24EXsWX+PH5+vGbXvqoUx/yeaHqVKIm1JiXlddoJthWy+zkGwXVThkyRmZzSGvEQPLiOnABMNmfiePNae+hamA9ggHVo3eLX4Kg2TEE9vOAzZrDdNBjRuIUon42ZwSQgyUGTk7EyWzymJ5tnw9usSFCynnEhP4ZrqSVJUGNC5tHdDKgej1AQFKIw4A96Iq4+X3PIrHPw5hpw+aKvAG+hCbQZXZ+oUrXmjfdCunwDf5fCIa0aAZrR3cOh0xIc6paIhCOJgSIGQAJxVja0EmJgXlkY/qAKB5+Dan7OurrT9YvfXzwPcP3jHxhCvjCsGocdxeLmHex1qLfcTrW/owmEdVoi2SSCEETx7MZuPfi1IogQn8zMs/dFGvoE0ReUwlFJS3XocTz0nnV5wf44fpRH79//O3zfNRMj3guGnMGQ/76b//bj1/+/d6//u0v/fr3/t//93/9+W+v19945/3rz7lXR7jHnuO2u1AOlnHfNQbR3LdL0hdf6q8UWbxy/TVwzIJeuudWvei5/CL/Bf0vgz9576BjfWWJkl/Vn+d1AIMn0nVwpJcRw60KhlGInprcHnGp0KEJc7XtyRJcdbWT0ZkEc56F9GYp21n0QFDj8L5FFtr6UJFPN9SsNLeqgqFNDkxCPZ33Je+AOM5ePA++x4pLFNTGZS0kvU+JhehRopmOMqo4OyDk/8MTmXdmnJ3OE74ZD1SKe+cSNb1KDuCuKyCZt3heUQkTtSieMM5O/goaqReMNinSq4AeYYNqMhEyNMwmlo9nFlO8CWTMtrLFDNYuATuwC7Yr4mEFToGTGp0bJNhnyAblE/JUT3v6XgxmJrpPOpZqs2EMZ8FO4h+q7oyEFuATtd3aRqPBQGyOvvlXA8N2bFFxcGElC8ZbKs9YZc754dd/+vj8T+f8MYPWPX/+6/3z3963Dao/jvDF7UtTmS5A5x/AFIFCi3HBsjluIyKbpZlyBjChRWMBOqFw3Gv+Etxp1EkA4aAUFgureX0ld59okRm1xxzisDpFsWm3i8JlFGgzBpFgNTGfRji3bbeDl+QPpwlgpDHVHs5X0ayvRciCW0N6z1TQ3HAETRFfuDNS6QUcQsfsjttFRCeMYBO9Eq+rTcPakfYaEmpzfxZzNUX3zqlOMO1DaA/WvzbrZwtGvtvsZhqLnC2RpJLYsOPoo9xHs04/80zFD4TN8WD2EDu07coP96FcqNZsgs/zMTNPBVjedhHGbBGh5fXde1UDUR1vyE6ojzjaclVyZXUIRTSrVdmhMSB57pI17QWlFYONfA/++3HGYry9a5yeGOaCY4kb/RnJUdoEo8ufHLNeYGJ5j6xENCYaDYDxKuYHRtCm0ATBA2KQwDb7IkEvSeipgOoWTlIyM/Z9U2d9EkXaPYq7ETP36KBHFDh0RUU09nQsLxyR6EO9cfsajDtCYJrsMpeKoyOPqdTDbjMjSTRGIgYdVih2mDyDlazj/Ne5g6Km7+B0J1i1pak7hXq97q8iwYLefMcBCELpVpPuO+RRmt6xyRGpUvW0hfZqPROKwkvpOV1oR4co3AwlMVh36uy0DNpSWOOdzmYtLjdJeYa5AalL7sAY9Gx40UznQ8t7Mcsoe9e1eUjp0EwVubcYmmt/4e0kIFFKcIdHsI7CrAhs4HHHaxexShXK5LkQ+ZI+P/XH5+u31zk//FGneKipF79JvXZFrUKtAou5B0pYH2qyaChqthRl7xXpOPraAYTK+MbQl+aGkCufc16LWJAyL3PLxbcDhmbi100hKTh0hw7Z8hKswoy50Be5Z9bK+BW1ACZUMU4llaM7mpJ8wQH38tQYVZoJgRtpC3dDITxT5DzqpeCjwbbD4uXPSg9o1KF7mnmRcxxH2NoDenTiWVgZ9K52K+HICZbfFRXGJ5l+3GNqcuoykcFrrswZGMF1UJuR1CjQBayDZ8fCk/xgC4GzRmq0WrdegvDHlDz+aU29jWJf+NOaNyoi0NG0/Wq5YHjMg3HUlfsDha532fYR+uZvK4PM8JRQuSiGGV+XPIQnnBKg4omW7EOqLZCYScunP6TXZ/OoL6a7VJ+vOi/1aEQPv/pC81n4r//h8+//+v7zq3/91P/Zf/311/vzr1cdeTRfvNbY73vnndkOc93D2RhTk8pQaJoJcLtgYW57cCiVVVThfBQA/Hrx39/41/f9lzfbHilWHs2p+njVb6/z8VEvAeJBbcZNjp52knTCnT8htjAihqBf3+GSHhdsvtieHCub+bNfNjfghvFnrCq2TV2avh5XseGawbyqGq78SQuFec9U9oeIt6+rAm7jbXKkzNkCzUNYqvGcsOW4aYWIRJ6ref+HOT3a5ASjNZUOZ3dUP3mvcm/uCTHjTeTDJEZ4szw53OSOydubnR7O9d3knTkMe4lugi1tuCEo98QmvQfCSpwj8TVdE+boboZQxghsotaDQmDY2qDaLN+uwT0sP2bHMAri5W7ys6eigJHO9MiluZ6Zr3sH9Kz0cALG3pg3bArX84IcQ6qDHicW9CldCB70baaItFhGD2YSfebZyygrCCWo7XDHwnFcU6c//0kf//z67Z+hf+r5qPue+1f/+T+63/uNHLoZ1gzEmBYqSEoYeCTexYaOABfB9p1cGtEJQWByB6MFyLqaxYj5MVcwaJFOozJ6kyHHD5YemJhnCM9kpx0mYTOVLiIgpQFKpEc4VMuR/MsFF6pjnAqiYVXvpFaQ0R/gl87ZBEXfQWdfkjgc32EQJHiTP+6l0dXs8iteKVrC66XTRdq6bvpU3CrfsBYYM3zUdQn6XXQ8wOsOv4QvmRJ07L+UMTvvKTzGwbTAtx9b/67zaOcNS6/cY7whCBZ59PiHvT8eMWbx+onbgW5ChFNjg4k4tNkAis7cmNvR0eQk17sjcfW+JWbKap47jx1jULQRXomKn5g/edcdPmrItQQziadtlxT0Ac9qZJkdYnQehG7fxaT00H6Wwnz2Xo9fRPY5peZbjdNPVML+gzCPua1jxcH4BlXIpzxMQGEO9+IqwRmKIN9tclCZigE9ioINHt232nu3oxaTfFJGGO0JwPvweRYG7fu+Bu7bX7fv+N2e97zf7d6Bg8K4cweZj5YJTszrknH71OXjDLrgJ95esX1yvMlUcVlCcF/FkHGt1X1gCsTIX5M5C4W+mPI7aQfG1Ikz0tlK38GM/OwABsG5DVb+BIM1X3LcyIJMT5Popj1R9VKOYJrJeg1YR2AqXVqsuAhux60/mzihVAfZmY5t2nPhuWTsODBmZtKvsK7RjP/7spZ1M/INXExW9uLTScpFLG0kDyuy1EI+4yFRYJNFKO3M9qsS7k3Rv32c19Hvv3/8/lkidXDqaBTKoHbLz/4cbUnGacUljGfWBzyBtyd5KK5lpPI2zxOFgcqOivWMABN3cmzEeEjFBmr5cTkANhzfQyHRxMNJ+ojIBokW1VHZM/1fyx+2N9InuoO19u5L6GAC0UUQtswbktKKdZGcZU7zyzA0OrCG2YValaMPNEIOBcoi6Seix7uPnNBT5OMeZE4VWgkzIhDwdDei2bSeiiDkUUQQE1VfUJ6BORmdctAU2M9mBazWOLrl4iv40W6d4BMd5OGslGi8nC/5rTR8vV7X/kxIXsI0hj2WpC7v4cMzCjmnAt7Th5tMlm/RdqAzbOagV06YZW/oTZ/PQSwYm4j/VOuoiNHr2xXm9PYRPEb3vMevL43w93f/9df8+dW/f4hSAYZQPmLp1fR5HdUH8e/v5pfRrc9f8/qRPlfc8Xt6vmZQt13UtP0mBugFjST2DFHwsli+SbU0OaWqmvMpyWrOv/vr/+bXv9pfPsNhMov8UfxISXaxOFUntgJmBATFtVvFryucyUiXs6qiT5LHPQikELO7zB4PFRfhruqZnexnhV6ffrGwnCV9aV1Dv5qtnuNaflYjc5XA+XlgVfcU96LLzt2R5NIesCcaHgLxv8wCgRmyaccJnLi+xqqIAas3B0VNYJpUAp7dszii5bkLugUEIGyv6obPlel9Q/OGjcKeuDv0FwCo5E246twCrXnSfMR4PuLLxmbwIoH/iQ/i7PbwMAa4tFZnGIosaRgu9JjJZN7GtvwOyXYI1J5Cp7nXBn+97+2+vTqdDQ+YcSsfCXqmqFCywwFkjXqPOT2zXCCW7B0FTMYJTY7zxliyvyKxb9/daYBH+A129zGvP+/nf9Zv//38+EHXWAfv+/Mnf/693z8nDU/5roqrRph4WBlVYoHWEYw6JKtnvOh11ZlJAIcrLSmRb0AuATdhKY7iwOzNcksAGktONHGlriFXd3SzO7ihQKjEG4Y0aGv6ndx7/GTcSWzFRqeCYIdyoX2VGJeeFovO42q/k+hAAAEAAElEQVRjyq3RhWR8wW16UJ5h1n5nk+oepprPlxz0C7xzYZZKmH77U3yROFqNZlCAPOiYRPPm1TUUbCBwfkaS3MKMJs6OAifD8sCPFg2YknrnpezPMZF4JozjkwbPXLXfy6F1grzOPPd+jsPB0orMLfTco4D/QT+x7bAWK/pJLhAcrEL7NnG3GubazEiW/HfFe7dXbNBA7S+GISJt4rhXEF8l78JMhP5OXkboU0a+yZVsWAE9s2BU5t1kQmRCK/eCx+gsIJwAobNTe2BcBPQVNxJMOSXZadbJHyQAJNd3EKxjDEBsayPRIpNjcrGwBES+S/thU4zVQ+YPxZJmPVdJFRhLfo/K2z7q99v0+z2ud98LzBu5VN7j2507O/xtKRDOyvkzZGghVD22Cy+ZltG8106SMyzOxDysDOfyTJP7xwqXlcJ0J80QgJDULdKeGZjTM0dCse9IBI1expOUu9/70C1SvFGK/4t/QN3ZSJID2wkAojHUeVQehIGZKWJuymSHQINzl0zivSjUSDBYnRvJ483zsj0ePVNxePBauRocCfveK7U8EOmTl407dtqggvEjJz43HdaMrhI2WBI9EkynT/Wc8zr18YEfnx+/f+jjNx3GKJ6my4njgMl9XtXiBj/FDl9VsY1nootuMiGaYfcbJEhPjFtZH4pIi2V0kUl2ccUQ545+jaDisJlN9IhGKOExrInILY9AFsdZSPCGwreMeRJIMm70M/oS25+g9fopSBu97866iYaZVzLXH7J3ESmwo1nKr6I9dYhIjxy0DzImGD04kVfGmRRljpLoDj5ugXku4ZRcrsxv/U/Pbpxi931kQ15GJABtwCKjP+b3PqXgsHluiXxLEFJCnLo5uaMvg3UVSNV7Onuq1O3YZgpo4ceRX2V3wNntYBqoWzhh74fgK5ZzMCXtbB0KbO7Fs4z+IAvY2dshSpG8p4EsOiUQZeW4lIjU/iqX3mSBQss6PT6Nefuvtz+oKvzLn18//qdJ/khZ5UmkD2/fr3f99Re+viJM8fzC14f79mknlsrgDPvuBNk2mkP34A0b0+2nNj5bL9qJxIZgfOjU8FWYc968f86v//vOv8l/94cryWE0X9RvVeecz1ep8EF8sK7fmV2T7aEncEZUAKanojwmNeLBpHL5Hn7H/hbocxj37HTeKkR+QKBCHOMk9CU3e/Z+8Gxm+dDXAC2X55JFihgpF4Bvn5MTIfkd7B5xpgs51ThizZ0qPBw+EI+P8xwGmJ9d6IJPZewLhIss74nPzslZYZnzY4fm88w32yWpFwENuimgOLcL9CixeU8Lj6OaXJ0l1XTCTt4DqeGDVMUTZsvKhJjheuUEznSfu2+IdkL4cBNhrtVkFjVTIDCjMpzuC6Hpg2WIZwa4b9/xYH69314WA8ZKqHNcSO6NPeOCgjiTot1wC5m1Aphw6dUJRdyhCmVMgT2UXcK7t4rrGhr2Ij+I2KbHw6/zT/z9v//2+/92zg9e/5wvoef+6p8/8X6PyRLGifuFeUS4XafAAcEpiCjpMNJBMOd5zaDtmSc6p/KIYGJ001jQyU0y1HEPeKheHiA2FC2uHA3YiTKK5ujbBpputc41HDUmNPG7P6n3Ug9K8TmKKWCmyo8Zr03f3lRpABgzQTAj1bxmyhLrTrTjnKTsWXOMdhUvCtHI18x8ccqYo4/3XOMcw6Z4Z07BieC1R9ID9GYSnfX1ETs+FXCPElu9/DXNyX/HgmFeR08SZMK4oiiS0rg5yxbuVZeJPABWoOqxz0pjMPgO1kg7fRxKWxHyMHjBy7zQej0Xccra4vYZPNWfuQG5cR7flHXIbS8IlFf8oYsnqgVM6nuA7ebhqjOCyd5dpbhrRejE3YthoxAIbHZHej61wXDdJ3hWLViKlJnYC/1ZyMK3dIJzEMIwf/oHr9NzgYfnsGNsWcWhlwFPY9mCI6ooV6S4nUOWe+XWzxdJ+omPY5Cq3LNhczwz5nQWT2Du151qG3OnMVEYQv11jQbR7eEGi7WJx4odBo7i0JwWyo/Ee4McgMyjCK4SKUNwNvG79nQVHpWfjc+UmGO2r8hOHpottCNGsrcSxL6rQ1lyyAFmL/Z+lrvJ5MnmmQ6WEm7DofK9CNhgVKCF25AHQoHZIW9PuCkzyz4m92FQu+teRXhKLpeTSdJUuIbZsyIbSUAai9tsnQsQ292u5xbzI3iTorG/GRX/scXnGZilZfY/xlYx5Sov8fVSCR9HP37oSEjmuudtl6ReP21qIecy4sDBMnQzjeF4ibQcgrveKDf0oI31aAEOFyc2Wk/obdC6VDIn/zGo/UTGhkmZThsphtg3u6Z7XYaPimpfr01d93KS38/Tk+UbvDOijTgsllKM/ymwk5LMIZ9Et3n5eg6poIalGkOywIpUK9eydKTMz2CEeGwUT7I1HJFzkssU0cvKGdZfKeaRR5uZuQNk1I7IT2yWsCTE0hcG5h/6ekRklw3aA5WaDq8KSZtwIKxqf9OFCMRJmqOR4KiKXy26eKCuzS3hjMbnto3+ShHWsLqmBl0l+M6xpmT2TllHvtBBNVAhiRLrT3OqNZr1pAE9NFUcqujKxbMjzhHsKugIhIQEGfUY7Hk3eN63P97owR8/3izif3Le/tX84/PIVOHj5HfB3399/d//49e//dV9p2/N9P3qmHx/yZWMPWVhNWbeI99pazrJw2mXLt7razT1ayK8dlFVVaij1y/1X++//48zf93+0+fyRZxXfaiOwfIP1serykTh9UoVTfL/SBBn9rDenLnFL8IvZciHeAFGCspLbJMzcDFn9XUGMzY5aFRuciRR1waG0x4NNuNyYwf3cMmk1MpF4qRBBeHLHtr7tuH6xdBIOfOCVBKcF2CocMWKK82AdYlqQE5MEZfWDEYU5DyK8NBqMxfLR7qgh936VkQNQokN5tt95OeO7eAqwVySw3U19ER7y+gjqC8kaTAoe7JezCkkoHQCDYc3I0uNt0T308urHKKPpjSb0TOdtTOdU8R8q6SBt8Cv94DT3T3dnMF1T+P6ZtzIt9nrtSA54dqsFXJFHMDncllKPslDYCwQ0UA3WMuXPpGW5hiNt11Rpc5DObjd6+phw/f3/g//2x+//b8++FvfufeX7tv3/e6f7p7wss7ifstEHBGuYhIhoZZfR1PUYRUFNPuFlzFqsu+9iu2XBKs7lsyM4cY4RblMutcGXfBpCUgeSLTKBV4HiUPD8y3eiyFsv6+6Neg3RnkCoq3yYGKqzrkLpF1R6WZyw8bk354MkTlJoz2KLEa2cD9SrSZ5gmVtjESy2ZsazoyHuL703EG47inT+rifrR7oJFyf7H/4c7Gz5GoLVoLTs7NDDMt4Ppus91mrwW9RjIjelR4iB2/5ZKxd6Wwg1KhOuftlNvSzIGdGYprO5Q7snbz6nZBRz9u9EiiAqTXKn4Oc600SW2VLpnh/MwAGIyHaIXoPwxyKQ1TaQqIh2kfxm3J83sNl5UJbL37u2fgimLRZFed+ogLWfb7/+4pyY3bIgDtaiywsuxTsvO7IAXKCu7f4ZD+SXRaaJjb5OQ90DL36XoMC0NAwLSvI7MAchx3/9tjumgaTkcghlcoZ2QmQkmVz2g5IMdNT7/vugQczzlh7+5rqq/FNkleegphrdg+OPWR5k9WKOTA1lOkZj/WDXHwpt+d+BPnPBM7BJ/9Tr1prjeRmdOEjztMjfUGAZdwh0erq3GZ5G/OxWI0r0y3yGnAWQ7Nn3XqzLrdYJGMehigPpdvR2GXtV7jB5x3nktY5+/GAaHVhvc9w5G212iRWf1vW9/fyI34LAjKt0P2LKiE7KZek0uNqNQ/4LISDXUAZmln0bCLts0ID8MzcX1/6OD0zc5iJigf+OkzuLGIEHHj64Saf84W3USG3lA4pSUYXhFkZX/DdsIgphxmz9uKplJ5TYxslzKRJZLTrxYL03gMde9WT+TWRlYsP0Ja5NwifCWlj9BENWPx2udWzh4RC5Y4vqVCimKyqqqRgPnhZ/kBCeStVAfJpfwNV+bXjqUBwQe272t5Koc06e+6GGPoi04KxCEXS7mJHIoDIY+eRyEJALkSMQDltweHAn7dtAZbatDVv1ageB0dQgTxatq06OUKBw7gZ7ZvtPhpOZWCYUk13SaRfH8esxhd/YYCL0bBpNKk76ZBowr4iO1GgshI4sYYAIj6lLEN5nYAMVQ68a7twB8WuzUsSXYGZohX2ApxuXAn3/tTVYb/fANhz3+fvL/z8p4+//92fH6BY3nrd+75/df/5533/xDQnIpSZO+yHobBmjmryaRKNrzt9jfFcztf4omf6DX8Z78sRq07V6xBHks6fd/7E15+X/4J7+zBVA/Pj9fqQzgDlSgwsH9UTEBo7UzDwxE3m1I+rbTVrS3lDrPFwzuZ9Eyv5r0C2B5j1MI3Bs20RJk/CrWk3VQW7GqbLNbdJ8X1Di91cgqTR6YiN2s0wZdzYby4A/ZpOODJFXlNTVW5/HdUNiYPQhjC3WRwgxKlVI3hch6tfBoEomASkXH1Xg2avuGDziSLljbI0GZDMFLdBKau85vYX4ZlW+ChovZB4hMsRDa7YhwtZQPRGnWblQkfdyL3QiEm0vfFoUcMTPKzfA6NmJDMzKXje6PZ1Y+zRe67Ntnt4eMazn0Lk+47OhQbd5ua+xtixHufkT9pPjTQemWYE2kjfsg5k3zEHDbHfHPcddj8X1KOWHeLCp176z/35X1/6fPe03/IX37/u1y/76kkDmHHlIFIwvcS7SCyS1AHFU9ThkSUWYTR5DN938de9il6tM7gxaKHsdkI5AHoo53gRkT/VLsmTqPmYnu3GGmK5HMi2zmTpu77c8HiujCbRiUFfxae42cTJcLN+t4EZaHF3zWuWRqxVG5lzQskSNkY86Q87bE/1HOCLaCvSDNtwFDgE/B6WfzYHfkmvHax3KDDoubZSi5ZEXuegKG/SFQRXP1b/1Dt/NxQEKjO4GrB152DzItxJFcmgsf272ncUSKS0z9bg2cCMn9SPLALmriZBg/Swj5F3hsmmZa0HcNd/0pj2ms2zqJEz8R3tN5iv+nup9WzpVNDfbArPfhS6ctUN2b/zSS45QW+KbtSUKVXKdWUQPVWZR7Q5mzFqfL/gEtzLWcYXjBUVZbmGON/Cqg4yGRxTm+ERvWukA2vAmRmmWMH7Uz9OBlOWh5SYIWOzFkjbo1pEkEBywRNr/OhxaXNm3t3va1y/J3l37xmDx/HuIcdZ97RH4SuWlQ2urR0sc5LmE8uWtgi0sXvcjvBEahyEC4TbCTFWly4T2xNk16ZC2CNUoVMhlJZKCwk7kLbRyB7wYghz8xXAXWTacTaHX4Xh97cj2jnY7b4Jq0W+9d3ST/kxayYzKvqUfQg700omTa+MgeHVIqsYXdwMXnJP76450aZ5eRrA8BQqD84Q8vY4aWVUF3DUactRWohnD5h5ZQKHtsIm44yJlVF5WHPbmle9+NXv0/M7tm6egsp+grTtGQ85d7qekNcerJ5O+E5FABqY8fVM1CcbRlEcXA16ROas2vSOTO8XOETPiMdluJDY7N0DFtTLoN1edysyBWVRM78PK4ZwCSe1crQddJdWQnbCic62k7Mph76AjYD+fpw1y+etGhGDqmwXBFXumaNyFpQAHH7GskxlD0JPQNS9G2f6hIiAE1M3IuZzTl+SQTB3Y1hyk8TjSyHO7g4Z7fFI6Qp7c8jYRACyCkgOdLm2QSxKTErJ4syhbXJYWld1vPG0oObNGaaqw+kLlA3/gY+jdzX6S1f9CzV35dx3eOwSKb5ND04nxcJBLljn8D1lm3XbBa/BLnZVUoyUA494KTsMJRfEIw5Upjydvc5pbnb3qEy+9evO/Tmq+foLf//gxznjxutNHw+/3u9kBc4UqzxvsLxqGZZ93Q4Wa8ia6XfzjrvtN6ffuBrPvOGJuFQQznl9AGy9vjzj979M/3v7L5/2h17nQNQ5fpEfLL1cy+gQGJya8WHATUX7EDgxSp9sjc+esFyuHbeYU/DyjP4yQwDF0BH1lxH3t0tIzPGwqtHcx0EgeM0P9wSj8utwepgCLovu2BCT3gPZ13PWttdZJ4b3TnRw8mB47+gFvW9L1SMRd1Q4NWThCkeyIcZED2Azv4iVWiAsIWOHahKaGYcxy3azpAXFGZuBXbzfzE7wCySuyySAY6xVWMnHogeuFDF7ITP7qaLsZ/0IeJKdVhWKVKUZ60A4wxvDVP4Hw5RfPKIDe0zbi5xY7XRZxtDTE/YcybIxU3b8zBdGzYCwQm8MGgagYl+iYgiqPCACphwF3mqcxqYK3XJ388HNo7u/7WHgbUy7xfE0iLnAvD4+zn/Wxyd/3ab59dP3L//6y92mjZySqwDIotkWTzIySBX14VLxgGUdqo7RR2fLKSe3Ys3X5OHPnURXVOR81Bc0oHm+snx5OS2CJmVxswvoaIGjD2EPM7kMtXnk5Ql0hOpH44JHmbi8csZF9AM6Q9DVZZdOJEWjEXyjKgJRKwsz4mCeEjoRHE8av6dR6BnGfju2XO0xcRoq34sBcIAaeo6QPccPF0LCjGnk0rVYOeDVpk5IgQxFk4hC7RC4ireLHdgRWDd7t4Dmcni8C7fhUfqvNiEA0tjApuvh4dRnYQCv8AYBvUJJAdtYAcIxi4BaT7+3Bxjjfjb+KLDkHpYx5WcUdnT6oDeTpLYkYIcx+lvSlWxfG9HDyO4oZFaxE0DlSQrKapH9RQU8K0OeNZApqsgPF0bdqxSyEW/dTEDViW1vBCdiO0A0l+tvUTCS3JJn242UFzoqqgU/uZ5tE5x6fpCMTjkKRqFUEiLzMC5wWb7ThKfv18X76/3rq2/PBkXNKsWpHq+bd6JYAQF2nB15SoJzRrEdvQnTVpFHSAQ8GCc6Wzu/LeZJRGiVhJhs6dWHtaIOlAyfZ2gglomrUa83J2IYjxvXqDhEc7zdaTaYDofZHXDICbedOLVpRyShxY/1oDEr48oDGY2rEUirFn32XH2z20+TIQBMd5SpDolo9MMxee06gcxM3DzHgippdONMidHgPE7aaGymyDaG/dhYnl5MwsRFbrqYAhobs5x/OeeSiX4Px293nVf3XNRLHM77JkLWnPY0TTu0aZa63rFxMFoEbeBuoOd/QS1tqorEtBgLuiZLQpsYtqZMDFA1sHk6Jnb0yt7+wZlzSegsNhYU43HmVu7vyHVixHmTI2AnR/RGFdh5HAvVXDJw39ZJlpHkEJ2edNKLOIZfxTtG+Tu9mG4PD9MLiJD3BU3Sr2RfKIFHSEtVsPZ1xWipyJwiHI+KGS22iDDrf4R2++t8I4iTdQ0TUVqmkAHPkmsZs4lNfczfHFYtVDyzq1AAuUmvlPToWcdiNS6dhF0b6orMqabIHtapYaWs6tQX34X5IgYXnQ1X7GY6ylyZ7ImD6vf4Rb1NmzoFmDOlPTjKdoXvaeDlCNz22hTol8DVrANbfQYL7o68bpolkHdQbrJU8Oir+/7EL6EO7+HLUJH9StBQXsqKWO363jvlX4g4rPQzMrV1WN8m2m7ckHkNSf1F5tN24/1+39bF+0/ft/xnn18v4UdXl6Z0XoRe5+WqzI2KhH+jBjhjvbLVkRtWo0xzIqNkw86eymovdptwbi5h5yXkGl62C3OWqY3iV6z919iFXWWTylLyANXzpRdx+72pYw6Rl72N6DYRARFnrB0vida+uW6sy25mAuuEk9AxRd++t1kcSXzfkZ7Iz2HVRoFQFdR27MEIQr+5jAbC2EYQ9Cii4HULDJoPaJYQAu/digebMlE00/LVa+BZ4PyyaUXrATbNRGnkNFiWgj0kD9IT7dB9BUX9PKtBR4Ls21fbD9W3C5wGUT0eub/eVLU9WLQzYqhVluyyAIO4bRFoNvni9EIgAQOdqGcq5iDuoMXzJLonKdEpiFpJJAZuu4HuhNYZEHwn8jxLhbk9Ig8//jiv37/a4+Ydv9/982fPV3K+U44e7ZUHUMHDF9bxVCW8pl46p0T2a3h8XnzpFYE27HFPldo9iSIEJq4fD2IOggb9DxyWTwkTQc8OW0+SQnLOE3qFsTD9AEMiGspoJdCddXqfjgjs7FG0ViOsKpdIhlKogqRbs2eFiuvLFLOqr/wuwW68ipDJ9EwfC/VxzB8f+NW+btnaa3ZihmsMWO8q8HKqTG9xyQbSJ3mxQ489DFcemVzgaxcGjDI6EbxrIDAM925W0TAMn7/vxiwNb0APhx4F0GZMDYY8C9s/5tgIH/YH6C0TjwxuIzaWhaFXsZs/CfPkbAQLwp8vZ5yrc3KAxbcwuQbWB7eX4M5tER9olVhbF0yHCvJ8v8eC05Soqsx4+4HFKyg/Ug2BEzj9CY58fFbZLqJJ0AwpMqR4IOwZrDrM0BjJlYykJRs8QlRiQ2Z6aQUsbL/DtWIC1hDHdnG1B6aKjisRNNOWAi5C3jEO27bvvC/+uu8ZzLvvz3lPDwZSrXeQnaMrlIMQh2a74co7uDZMPfIOCcaMS1E45zvoh5GwRyyQmIHwqKuXaIMGIxwafCV7CwkUTMZzqOFdDiPWXoDcu2DmV4IDRxNI5gtEdVtVC8r6DkUpWf2ZMuW6ufvs3XQWqM3tkLejXYbxBZz3o57D7sWgo0pfeBqruHI9nI1hNJtdu1UHyDNc2dw33jNuOCwcFddanvnQKPnlI7SnGqiMplmYwvqPm9vBnK88AZ6YAu2ZM3rPreHozn177qhol3lhj9n00JNmrx5PeqjlTtg11uASAywxNzGI+ZHhY8/gVJDs1FJg8CYKpKYGgE4lVUHt6FIF9+ZWqP6RSR6qcz8b+9kgw3/ObvUux7lVOUd2qwvVp5FTRidNfpG8sY0pqzK7OXIv8xuuWDlbuLBZo6UJp2R3zwzLDq6Xh2BnoCnwampqBVyhVAZMPq3ALmI2yppbsyQnBYcMT+yeQ7wRG0iwfsTm2KYkPVhD1s+jhQhgZKyPrActAWYteaekz06Iq853mZCKeDt5ms5TWsminPzk0qd5V6FiCadLfBt/GG/ajV+cseIZcjyYRf6iC2rMTSPi9A98dOWMH+ES7Hw/56qPwcL5ahzhkNDgrXlRuHfOhwalsWd6cgJquiHOO1zr62veL3Ea/rSsqrKnJy/tAC1wruiuU7xoFwz59Ub7PZieUadBaahEy6qMN9+6mnM5nBqy8XGJhv/iXE27W+9f47fZVksNYoRb/PwYnk/9hirFApnbpSCWwjct2BXL7zLHhReETQVdwjAD+cbZgJNMZnyzhMgQtjfUNgkY+xvMYEQWwWT1Tts6pg6yIrr4AfeUS+7+4HHPjbYNiJeyI7WJaqaRGQyc+wg7k7pS6dixk5kK4d33lKgayAngVUskMT0i63Yq7oEVLwdkih8MI7AdAV2UfUXcCXrgFRaHEEo2iCvDMW6BkwCRTevZEQKwthOsetpE7TJFJbS0OL0+WCxbUKh4LIo1SJrBE7A6PaYJ9ReQf0J7rlWyUOjmJjb12m76ThQ7YCWSi0hSdgTah7XdLiJvLK/vfAmr/6vV9YW3TlkOCmmGrQQvn7Mvc+ek+Z4V5+anfLe7U+TIzskmdwc5vfgh/be5U3p/3cavX/f+Zf/iACPM48tI9AWLY4k1fEviAV+uV52qepHyfPSRquZ8yK8p+7736qwvf/xet60GStM36E2O6l4rI/KuZJUpLYVYTKHanEWt5CZ7tt989/X1fCeRTGC/qNYopKK5s2ju7RR/Z2sOs5Lsp8SSTMuCuzKHhGHJbU/hTBKonVfYqcgz8hi26qWPG6Zifur++8zbLwhzr4lDPWtIJmfX6B8D7QLy4qylfKNVRtAlHjmwtMzR7FIYYupZinOzImHfXnfbNVhjV9SkjaRnrKoFMDK+mWeXgkeRu0LwMDVeUTIXW+X+x3dCV/D5TDgzlioDewh1gQuog/t7Z5HIGrUHJYEI24KMzbFWwJKtlwJnkkEdM1u+1rzI4tN9HRqRIFOcEwRlII2SlCzAs6tqEsC4C8pcxDuEDeQHoY54gZElLomUCTLcwfyDkbQG2+0l16Y8ONx+RIxYbVX+b2z0NMoVj3tgTGPJnYBcUaC7Z97T71/9a+ZeuDuv/oBqsGT36GI1Eqz2vQ9WqYhqVukSxjE4ZXwOymgY9tmRHTZAHqUFe3B22CL8hFpEE0TV+GLuJOn9sUCuTlKOmnoTKEPizY7WDnxPxX8SAiVSu1nqkBq8tZ5k+7mb8iG6Voblh2D39xGRoSzqX2NMdpQnUY5ndjlhHBGUukp7RGyD/Aw4YlxpthKhg5k0ua4fP/o6icYN8i+u1jM7XWNOSjvDuo1SWYd9xkGgH6U/IsTqR1lE8w5BWbbfvKTe7/dfP+vzx+vHi8mBWHhpvuV0aGQJ2J/zLuGc3KTmioEr7S0pr6jrS/I2GfNqsr1gz2iqle9vdF4ZVtsjM/LpXe867pQdaCg2Jjr2xT/zVjQ3fArfBySebKy8xwrTLnMqErBMRE1SFSJgT9IKqDdiTefcppHswVrKIcKcWceGkZYxgnv+tKceSZuRszEr21AHqYAMM4auUU7vsIkFI3HiNXYcANNEJzzXQdTHLqzQYHv3HOtAQxVSM08A8mZquNIYAT2qiP9y1NNMmczDEpKAyQM7mVCWOO+iOpEOxSi4VIzQAiwMCi/fWz4X14e3kyqmZhLM2lZyu8oeCyNW3xoxjL0LuWNk+0zKaliHpAaqybmzAYl8U7VjKDCaGdYa8F8ymjN8WiScNIl39LyhfMw3amjfKvEGMr+0vvoLQE96usfjcSFSQIK4s50f4yuPMOiLeTffwht+z/S7DX/Fo4WjE8XiJ86r8HH4yTrZcxcOy7SyIlQtiKmwr4RRfVCzYI6TY7F2YPbqYuCo+pMosVY1I7m52ljC5Np19JLiulJzvkDiyAXLNYQU20wecTcPMK85HSCPMbK+Hy36nevjcTKp57suI/oeQslVHYln5j3Y/rcNlc9qOUvN08Avdu0lYZK12pmVASdTDLkWSPa4JSkOpO09YaxWK3HAaYDspA01wQtFol58tAIY8NBPwhy8cLa5uwtz1Ys1ZlXIt/w/ppNVPW4zdWC+0/Y4UYpY8dadYBntwSZnG821LSK5F+/eydW+lskSeNtOgjaAypucUO0C0EcvvFQM39vHvMNiIX+Ifh6BUSMhqomITASdZjQz7/d0z40WMgmEwr0NHAB++bf/KH6avm72G35jHCQWlMoTjsHSptTkc6R4qNJ5lQ71kj7SOPn6LL0++fog6jX2L9yvry5Vl/2eQPt2hx8iypi1OmKVCAymWqCNVwaSK6FUH1I+5pfwC19zMxttyGKOy0nbVSNNYCA4qTEM1Rid87YLFdknyJOLiuTYHRtOwt5WXAqHJn5GvnR2tweuwxSmZ6ANSPoqJI7h1Ouv+fX+67yK85AyxGn3DN9vfc5cQVn5DcR3ZZaC5KDmW3G0J8X3iG8i62u6MCfheYyyd3apGFOYqJj9nEQZj0kvFbNcM6xeI/e0gY4kZgdnc5epdS/5O77AHFIrm42wHLW0y2zpZq7aoJ9sJDzCq+qtxbrcTWnGoPW0vIp2wwcadBIGskV7Y6uxSC4Wx/eOz8EWbbgeuQcISQg/Vd7o1DSPLaTicSTAG6yT0fxOkLm1iURviwfM5ZiVSrpV7NFLLxxx2MqlFOFvAt7NjfKafNuxUiXs3ssz9Ooac1d1f40Fv/NT9fDLnjdm3m5uDiVh3PT7qvN9mPSNXiW/mrGTQgEj8wqFeXBQPsJnBLLNlE8WfVsJ5oyrg8QkpPzblBhAMSvhPqBKCE5kWw0Efzad9kQiHi/xMa3vGjWbIT7hTASPn6TSnSkfFdsIJXQ/rAm8QZMeuqIILKDnO79KGUejFE8xrcZvsnbYzE743OvTEMMq9vP3MQPMzb4bkCsG9G9GoQAwl3YeUin5MYl+xWILnLSftb9NB6uDdwh3lReDd1qzZzDsyV8cEfp649dfLePzxTieaweykr3oSOF+jaTpniDK88Im9hhDV7CtzlV0zbDiSL/0SVL/UKxm+/4/EkW5EwayaGEQr6h2MAGscWfQtuOQ1YIBTUoYVAYDufuc46jxsTaZ1HMA47FqpTHKCZQ8wjy3A8ZKZ2tlVfudPOZruITeGTuPJ3IqNGJXSZefGf2rwnAUldbveegbRNcRBtOYl+XO//b5XTMMR/4nFHC/ZckhDlNGomSIbAPTfBsSoPQXBFxO/pAX59HjTQrn0Bta/tQ6ei2R2NhzE+ct1GDUaRLfHDW6qFe14C5+Vk9Rv16YQcQG13jC3U1n/nA51TtmCrxgXYuv8vD06RoSuAMfE4dlzhVOSNxMZg1yTs6IyJS4sibj2jiXLJabt3y8UNnINRehIIyL4aSDdihej5qC3xe27hgXbrQuF1+IH9Nt4218wW+/L+cO72AaTY3F4nAMjo8to2gcHulT56P4kVUXFqQZvL4lafEmmVVheqs0zcoEQnoBKWAcXibf6ESPv3EaZVqknvtDFZaQEH2TCiLiAYezL7agZCqwvAleTvhGJn3EMKU62KfWBeEQd4zGwfGwPePpKXXCp8PHVs5gBYjsWh9+qL8VThUH4p1o7AVZ1/Gie8hK5DIlNKgVQQS/GYNnMIYlY8NRyovdPVjpBD6MuoOAX6uoMps+WS7Lq33DCk3guAEJQ6WtDDFQKosHMJNIWUCXh/3++jm4X5OP8mLQSt7RdMrNxzgzzVkxV8I85AgydssJEopNgw5a9dwDMMnXi4SrXvXS54F5YgmKhaBdaFQMCEMzRP0YNYyiGDN0s214ujEX75jaI5scjlASfatON4dTn6/z41z91JvG9Ly6Zy42aX9IqvEwPh6WpvBKjVbV67N4zONTAPRxih/8LH38Da/XR3N+/SLV+6RwwoiLb6vmjvZccg8dSjmDJgPGmOeIlwBR5xTlQ3jEO1/JMo7xebpEr6kXypgHkr4YQaNps6Knqc2gNajCELVNVtCZgye5Kgya0THR2Uu8r/gjGF+qrQceqePVHkAzLAylC/5ep+a3e94z912pRGySuKdlvAYGD+riFjSKcx5b8jbr28xMC2Me2sw7Zwyg8ZNR4QRauZZRRFI/ksGBzA/zzHV4VIrLxT+qB2FOPPcEy5HGOh6eXHlByrDqhIxYaTaKHgLncZYG0c/S5fhqg72F+whDnggvRyVIIoMoohCyFkOn3RmQFgkNHb+VEhKesUMAt3QOMRHs7hIuMZ7aiGqCfpsYo1at7UQ7raE3eYErLNIgGGmO9I1+yRGzQrPMxDnhC8CUyJEIlc9+B5kabE5SFHXOwCgEUqztkiWRiDair4FudCLrR+ML6N09d+5gZiYZ4ZlxnBE5e4xtxBqxYy032IghkXLLxPeKZeIKePyF+Aeu3ZA0I8okOoQSgahZlgqCiSeQPdvYKInQ2+gIEfG3gfQdiPkXk34c+W4YlXWAbo2DGW3swBzhmCqiMUMf1yQIdn2Y6kz/eQtsEP3ovIOzawCm35lLPcWEZtINnfzuswoSh80peDZvIuFlAX3NDpCRCX4NpOLjPMrKpN2Z43NN9mnCDrJzLsht75LyqOHsMNB2wknxaAGdztTpt0ANp6e6e2X9olB2o1MlpSQzvsf05q56RsJchFyKYLyKXrKg8Z1MSbPNkpICPktGG0b3aHdjxB2fJw0NQDjGiCFqQhJG6RBSKBEoJa/a0sYU5OqFtxc4dFAsECKbyUPOezexEZIKQUOArszPKfwKXLMI9SxhTGHSq4BHWcmJbSkxvetnMsBaFc6CHCJXpiomQqQo2sUtA8em2YHFfxiBpwlCq9p3+xEeGl6m2XSIwCVNjCniu0Y6JEFQ8c2Hzr8luLlL8cO45h/MtOxUXxGHBFnXnUJVSuMPTBeO1de9Jnz99erXvQ184Lw97nkmphgcAdNFDDZa55B1WHhzpKmpkBGKMS7dnSWIjENFev4AV8bZ1djXe0NAgi95gllpRFcuPCHwEu4XTuIcEdkI3cSGBMBvwFDb7WOXFYxvxYxfxK/5+sLX17hrvka9Q8omTE4mOXzIOHXMI57Sb6qPUz9kFszeqr0Yw0kqah1s/NaCBfwWgsc7uidOZdgprY8t6ttW8DQAkc2afLpHF5bZUDw9G7ITpGq6cHLHPfQaQbg7r0EwcgBIqtb6deFgnhzggJj2Rd3rJgqQ1UkHrQmqnsHfAzxhP7nsnAbzZ6VGjKAGUsCB6STwyRddzKGc1vqwhFsI3BCaogZdO/EjkSRRDlAUWVjMEdbQeoXEi0F/6mxkYrTcmVk2PdBUIsDso2Ne4uTV9uCr/ddf71897/d7DP8iDRVF3+sdwzsL24zMjqs+kD83GFqB5LGANwsDuhLLW9oprFSvUpXOSVEyMaQ8c9+t1CQkKuwh5enn9c6KM4N4r0jfi56+PbenjZvgllo0Lr9j6+Lw/FYqRsvZbTTf1+BEQ9PjokvflDgD3MQte0QfvooQ8eJ5EQcg8EEd6zTI031e837P9dH0ayYtMPc2pTg08ykJ8sN4kmj5FORrgeJHqQ5JypwE/99sYJhmfAlJjKvBcLEE2DWAXZEQV1Aip8bshKcDdAiwhMRE5GCxs2s6IGJNBaFMLJNwDYibkbGq4xlzOJrifPWPkg6h+/rbUfk0fv3bjIP8oscif83U4CbfUyiyp5JomgIz7qYBE2iSiY7HigPoHcFzKvspTIDTAB+m4rGJ5GsUA2vHxRYz2WO9xSM5ON6XbAspMquXmBii2h3iGW8Ge6eagFXsbxJuXft+tAxExonMd3DME7Di9X3+1vIOhtEYNdZ1ajzt0fnx14BP2NmIIz0yomDguB/f9yXkreoD2Cxxeiw/cU+eUITTaRtDrq/FFOPvxEQZMwDZ05Ko1EiHuX8uMVO2qmiInVhBYcAaWVNgsxYGInnAjl+88U4a9owjle7O+QarG2k19qA90zOD8dyW/ChiJqQCstdGNU6BWYFSxYNhLZmstDokTsoRVYkZsx1AcR8OtydVK2G9A0jE47QfcwzK7sKCBs9ukKrw6E0cRUOCCQNPB1d23ehMc8TRh6/nD+WdlMQSO2OzYbQpZtJwR0mAUYf+AjHZNihfozgbwEHrss88O1ueRiLVPCI7oiA/WX2xfq3PYYhk3O3uGatXTPwNZRUg6Zl9KXMGoReNQYRF2XKyLGz3RvRoBBtO2UD2tXn2WSsTJXpuLkPMmDPduAcHPQmJR6AKlYp2MwkMFP22jU4xkKcv1j0TqyHZkU2CZAqriHW2oib5O0jraLzJv4KVaqiqmAY5h34bpOU+BUxByyFy7eYWrfJFybiO3iDYlqJ7MtD080fxt5P9gdtAkk7ZwaRt8nniuIcM4Ylb2cgXIDK0fTbw1R4Rq0KBAAk94eIzkj2mfAsK8FJYOwvZkz81H+LaRtzVSSZi7EhZf6l98j2gxAbLbM7GAvAJH8qfLS9+zk/G7kVjHQBYyWsSYZTBw8v57ZA3Es0kKpp7Xcys877YPTJGL3Tj1KZPvQbDOn/9BHxbfAk/f/rN6ns7HdVjHrM5GL5dcF9MhQWH5VWevADhVRVDvaJ6mKFKQI/rVUTHvDoAIDULfkeep7MtUqckjLuunZCsuLTb7hpqA+1TXPcr8g8n1kp32BGJARcYznv60r/cPz0zt3V8k4N2YM5AR2MeA/iRyg1MiZ8f5wN1IhaP8Q4FxsGy5g16gseVxRCJ3jPybUiBloROg3SuZY4Nx9yTc9vep+DhvCbZu/CG8K5TR3yu48aogFQUEeNw+5jx/3r/Bykl0k+wojd7qBCW21Nd9XKfV410JbWvWZ1mQGB8vcrAGMQiOAScABxORE2Lpxnmjfre2KgJeTS7RY8tPvfo45ZGNPTimTM0NhEoa37UsghBL0Ez8+JyzhaoGU9R0AbbShV2H6hXIdlkit3NgCqZ8fOu98y///X19WvuTVpOyvZ67rCewkZE0B/sakxcC+79grnKrhe4DSQyIRy+5uj1DuVbB686p6T8DIFYYMjt7s4jqMGXhhtg6ydB2kRqVhu8yQDlV09fN9DTbdzuGVfM0GkuC5QKqlyvOK2Pv+bC875I/PL01IfYkyV0EkQHoXVeHcul9AHjQIcl6hQL5wWeAc9Qw9Gpep366Pbwl02U9J5hCYRvroeMfWYCl9xWqcRDeT4/zhQ+lJAB9FAzvkNdnulhlfFGk5jeRNRwR8usBNJ+7o+AmgFoYzbixtVAU5mmD5CUnjYGEDU9w1McYNI/Frln6JvaNKfc6WIiBHWNV0UQOR+/vfCfuvvdv9g/KTtSUNrvdh2fyY1j8faAKMHCdD+BWAGQ9MzOCxNkZlhr4W4uJHtzaB9uPVGuckxI4hPPDD8CCiTYMUP/4CDe14UiYYNV3uiCZ7KJJJMo6R/pS2vVRmD2WrpgJ5bHAUAAnRAdP0jOTnSZkLxf1goXF2xgAPSn9ypg41KmQHRgQesUxOGR8D7zfGA5J/XQCeaazQRPQqhv0KX240nY2CU6EEp2qeze2UIyaKhyDqkBtFXINLmis1zsKB5qJhJGYfCqZHlk4Oql/5MEx9zFnVE2Y82dhsfucbfbd3ov/ZRyPw9G+CAWp12KcgsVXHARRqA2qCj3lkSLmkkrDDhqdwm7UwzFueiyPBy39xL3UsjYrQPW9MiPgwVzB8WQE+mFjc5pfcfPPrjBAvkFMaAqoRBB4Omk3uVKwCMAqvjWop1DVB1wBxUaP4zTFlanpD1aBhL7wc/oHziwYq5UakFyS9g90Hc778JNiVDKkjSMDVHP87GjG5+U51HingLe8NmFA92uRTjb+A6iAZEWYgom6hr0Ru1H8B7Xu5jA1y/4RxRH4aS8iXLJu/74OO+ZahL3Nl929tAGjzYc3XMBHeouxVi2Hc/TrL5QFGaXKoz4ssZ03ynRjK5neDlJTQPVwGsbQpn1WWE5aRvyBY/4fGONkYseCjOHcFgQFO6NuKJY4wdGSNqK5WsdzrO6MjK/a1RFx5Fk3pzTSdkOlTcwUUqMW1Rl41qxRYiY3gKzqABV6w3ErgRhcoiFOvRqjxQYDxbXYqnwoZE5QXlhPeTav3M4zr5EhEbmuJsJ0Q3o4riLNuKQ0mbBPTorUtwVfqCCE1BC7R0wHvJVZ+xuF9UF2Txs+xWT28fUW18mzlfh55vj9+ePeg3f4BvdPZrlkl6oiXyyyV7jNIg33+DUryPh0vywSX7Qx5rz+igUz48EprEJga9hq2Fs+2B50xiNc2PdXQxAF6ZSOTWtnO0Zil6NeQuGx/M2PfOWhPtrQMzX9SUu3l8zDb21x5JdIhZ290dEIpgjvQ4pS3ixDvEyWEPMgDXFwsw9IJ6k2vCeq0yle/RkEIYsCx/WIj1XLuQANVGJcDS23pBx34U4ImsiYkkgDRLjnV1WBMIC+6HoZ6BiL3WfzTbLuehOSFiw8CGg1yvBKC5qDB6oLcNHUAyyzVuw2Zrp1pzr2TayJUQDfHlahUAotev5cu+8tngp+a4tBQ653+a2iWHRhmVS1w3ziA8S74rO9eqIesY4J7+4PK5jQVaQLvWTu2qHl8BGL9L8eHHBT8/FHX99/fzrF3799f4VBR9ZvO/RejGjQ4gE/BFKhNwwIs8M4WIe5aQTTScR2oesl1ksnVM40jlYuBS0Ob53wGGnusop0uWwVTUjVgb4jjrP9h0Z/rq37/SkbNg9kwSI0N3ATmt0kVa1ZdAWfXGnxk1PUa1JP1BBF2KBkDw8ye4dURCKBnZjVAJuZVTQriGENxa5pD5Kc9h9Zu4GXTR1/h863pyjozqSyiV/vl4fP3ROFei5va69mbSK55f1zEu6DdEXzPX3jOiKMzi4eeYPZb58wPwK6hbAPRev5xhXRc6L6DbAAwdKyF3O9cCW2O0RdNO/yRkK6F/W73DP6yOIYvMPfPzSL9hfto/c04bUymiRrgnCw+yhmKYE9E6tSd/IJ4WTkHJkDEgTaQxVQb4BoKSxPFObrZKEl+2aFGo4eBxwhs6jDpJwHk1rpDjARr8Hxp8ASfMYjwJF1U7ozAGTcIoYgeKVXcR4FuGUibboG5U+iVXt2kj3bHCKYF/572UuuYFsQwNTh54tJJnBiYJ5Z4CEXiQmi5i5mpPJrwGPd+3Gd+LlrE1iA0hDuQM7oruDtslcMz6kDsCeJupS8u/Tk5GPMNm/VNYOofaNP1lGZ+gkYOcDyqk26L4kvAmKQ6RTBGPi9jxGg7wUS8/tBMMI6gbeRFe3mXaOMDOwm3wtl5wTGtFMexjT+dSs9Dwo5GzVBE/GWmncMIS6HM9UcZErVTihxuVKjYKyhtNDO1h8MIAVvsCr9YZ44mXFZD+IEoOjcOcn6ZTJkRyYhTsufI3gu9suHQLZDXcHnE36etEQ9I/ABUWfwzxVfoqKAKyA3cdInTuYK5Z0wzDbKGyN1kzT8M0Q5gDjlFhFB6PBAxPm111/SyIquJnZecvzOyFoNvvyoc1sH31TlcV887+++ufX/fHS0auqE3jnCfedNC+wZLmod+NOzyRIgbRsENObLsCXCPbixlFJ1QMdRrqyS+LgIpA11I6EuMf0KeaETT1CD2odWEWOETXMAJU1fhB1TcqAJm5lmrNYS8Pj/f45CvyxBVJFMmRp29KqMIN+andPh7xGvicPVIpbT0foiPprTkgeEr45VLWi4TwwXvAPqjopsAv5nho5TwL4S/swAYmoEvpRRjhBAqEs9Vqvy32s9DABVprSTCTNvqM4NCw/dnugF4PgFpDleQ5rYZSqQXNP+9BzeaKVQ0nfNJMw0ydZovLxfatP4LCP36pf97Qx0/fj9etLb19yxtVmTO1pBqsVeyWczSzwPS6SjSvW9BvnlP+O94/Wy/yTfg2LOjTdZBv1MoYNngF4PFNjAS9WHOz4a4kdbzvKw/b0aNhvfKFrBm8sI3L97vHbrsHXjImGx0URlC9drNKhDEklflTRU3XI+ZQCGB5B4CHfMfwdehq5srkoVab+xATEFpXtxPPcavmeey7yD2P7tou+G7PodnhTcpILRyX8lcaUKqys44XGMw1UbnZ8D7oDSARR5pvRtObsDvsUUA9QarA3yjkZJNCmYeJWVUfSdVaNi7m8w/edARb9pBg0DfQ8RvuI1maMmr2dEJdGjE9to+fpQ2g2cXhQi/BwhgWiGJySPITlbpWCEyYloLTYDcs6qmwMGuUcTiVNqD4k3haChrfuDYj/dWcu/vrV75/vX+NvVZHJjhcqKUVYtDfJJoHceuYVPIbkxg8rrHU4dguvGhp1cAQfFXBKKmNzkoPoZdKDadxsFTcquo2DZM8CqoG3Oe2Z+dV973h8TaPvWzDbTHCrgykMXVIBlzZKdQ4zAv1ql/GeBthAFYV2phZTcgsnpKtMktUujYzK39HwFgvCqTrR9n1yfl2/9NvHx4+3/gUc9lyoNJy0AT+QSfQbsPaF1NGPT/3+t/PxWa+qmQu87q+57fs6clfrpPfTkBuHaE8xw1POwgGhBLtkYcslEaJ/Z4qNbFnJ+Z7X4hDjEqdNJHNtVrxHLgAeYVqAW5sW2ObQMy1z+j2vFxmh7+GHXn/g9vRPc0tJDM0Me+ZlP2wyFwNNKQBXa5rRMCf/Mg/bOY8oqxHSOOCDoNnlDsRQVM91ie0ROCRlXc7iWdhdbVUWPJOKLRquxFfNRpLq+QG54/LokbwxZXmDzpaI7O45hvzEz0fgkyMnHr6UtHIGEapV2It1tzFZMAsb83t3myTPOwKM6GtL6qSlcKVA8ZWRmGQqlhtvzmuhXHI4cJGe6VQhxHLggK5RMnpLoKMx2iFxY4btCbHt7I9bTpQ/JQByYG1C0uzpHybXbgPtO4079+E+5qLZ23o6j0TBtKd9ZzZjPpbHcUPCRCDKDRVggEDOdx7TMzhh5Y8mntBwpp8gGtBwlVjuI+zIgE/NY86m7RTcgAU0mpbH16bKA03nO4lqwXtkxuzoOz6p/EupTe4UKv+uiiUwjPQqvrG6SIBVRaoKi8BCOm3r1Jenyhf8+jV9L4IJNIkSy4sjL9B/XCWTlQViDd2PfmrsQiHPAZcOgJIi48lOqaihIh4Muf+QMQNgUs3xpkt1mhJ9ysmnhiMoBZORlMSzUNxhhJD/u6lgDrulxsPmLZ7F8XxAY8+dn3/+/CX8oPjBu8pfJDllL1ARIF861RfH7Rnd27EdYtRJv4cVu6/AKUTvsbYzAsO7GuQBEx4enRAm/V/cWGp5FFGuEMUUjJQcSPQVa7ArKgxWRxNNMfnm2RwZrMH4zhNy0uNWABCzk5SpK0jXdpsN4oZN46Zpo5d+8V2o6LpfgMYjsDmnInIqLr06qaAGRDTX19fLvnLgDgPlEopLtlmadX2EiGTldeXSZR3yp5eTrQk+M/EK0rUZ1YEdgG/duwCj1x66OWFjcpMTCIwMV/ojEYmyCWCOatZ/jqS0uHGq2oNiuQMIi1PniLaqXheXv750jR5+tD+lv470np7uBoI7H2T+ADBj2DL9zs2MARMeWAXXmJhf48KUXYDEEtr1w5Z8mP27Tdkl9sCFudc16Dz8uceSH3ODnaFnfrnj/jExUvM9N1AZGjhKeiuM14yW35E0ksSpUwc49UG4Th14UEIGME17mb+jQZIZgMV5+by24aM7K/J0YO4NApLZqR5QvvWlHZkmCK5ENlKxoDJYI3uo+vqHi5QLT69OKErCRPCEjljNPLcRYgG8mJ+KyBRgd6ztrvPEvOCKSlCTAJ15UyzXjZ7UhqzRpajrKPB3LY8StWcNCUGbVizlQfJ3U8CrDHBJ9xqwIGGGjYseKc0M4GXBfgE4RHowdBQgj0RUcDs98VSM9W0sEfrMK+CoNB1BFNjvxhi/Zty+77kzv9494/cFqOgAHBHSrO7B/pZGh1vPY03xZcJSELCAO5Se7i+c5OgQKh1NKbFvF3NaDhUXGVKzCXT7qS8SZsm/t1tYRSs8434PfPG+d+60d/pN7D9oXD8oUWhDE+O7lbMjX7u++F4NdxQz3hg51HOmOqslyyolkZlHVrgYOCbM2tFVh/VDJb+Ez3/6/eOzPl/kxf/v//r5//n//vmvt98/E4Q6hJKbACU/idSocF56Hf/4DZ+f8/GZ5ZpjHOGry2/rEncE++IkCi8ZrQ1h+nkavVjo8rDBRDu0LfaWZkvk1JoUK9jblOiLvFH2GBWhuJKj5/XN9KCCQqOLcYY2QuzxrX75diRtX0c6H+eIX+edflkg4dzxDsCD7Mh23Gt4rOK5hPZsyJXDWm1yni5FHeegpYpzE1F8UZLBkpLyRiQb0UTh7KABIp7VnCk+NB4TmuUoWCJrXk7n+Xj3HyJ5FphBrcNm4f+O+I2yp/wkdyt7NJ/hhGZM4ZUZE0s9kCIW2NiTJ8GGmckEdkZDE5G44In5yBAbXX6GH8MzKhu8XnUyje0q+xbapgGIsKAblwXzNVonn63XxxoyYwywoVqDL/HyE/4IxbZVSfEuFN3TcF90TwiR3jd6VfwpxgagyfYzjL9ziz7yTMqejAH5HiYimQX3mJEg327Wo5qU0+y7EH9WIKOo2JD83e8hGQrmoDRRLbQtdiLgyoNW1ypiRnsaG3tsisUCGrvzYAhfH5HsocZdPq4sChKoOqCF0rLVKpqshPzrdc4UCzyrNM41lw8J+Ow7o6/b7/rqe97dX8NueAiukpiZvQsELvRSzGIzi6gCoKvi97Tg1inaF1UY84UnQUPjfj624Cz07R7CJN24OWd8C68QMODc0hP6p0RmeFkHVoS+IeSIFDBsU+Rlvp1e/tVRjkCYB5TwGHPx13v08/6t+Hp91uJmNWhR80isy07+y3yIF63jimxY02VjUyyowNTtHIc2aHJGr1d6lGO/qkK+qoYOMESBw5KEg0Dg2bf1XE1QwzyzlyULKzMjgVV3c8+cs4kGlh6Rftg1b6RsqgvmmZBXO8BJzBKWCpzZxC8ERKO98sIybLcqbEviBLMbBC96zcYizcXCdc8PPhPrNpzUfidoYYcaCETLZQX/FU4W52SUL0lg08VqD2K5CtCad2e1E9qqlqS7EVzkNGzdwoGAiQG1wQcb/wlGi5WfO0HZa2fKYDjq/BynNA3VUgSA52NOv6aK71/zU2wI9A+w2D8vXOkxe5F924e+jkz7eOayU9HiUIBh15ZhGb75ooa2IPX1+E9ZbaLpQ5ohGogDhBGB4r3nAO4p9qDa7XHc+9f0yRk711DvYIKS6XnTVbIUWXEmnJfPlwid80lCVZhTG+wWUwcRX62padQiXAukPzjiA7BMEujtYFYi7haih0GsUSunMyUFVzaHzQmKjERuLj9PaaV06/dVIvkzGkXgAUYpEBmhtOl1FeFMbJAKqBMMribf06ByYTzKPEbV5En+aPR1eWhzJ6dQw1FGJf3Gi67LntPviw/2nWSWhsTOyJEAiJXNzWRjCVHUmBqD6gHlaU/gLwh3Svd7yvcpQVVB20s+DB5ORK0CHOKS1XZJPTW68qJ8g772/PQdm/O+fr8Dn/PLw44Gc+t0+e1tjIAZzSiLco5qBL3Go4F1orMQ5A0bIKGBXpZYpVIM4sV1kOlJe9bDUjZjtwIGi4prxjCgCGcD6lp0jzx33IBVeIs1M06sh69xMINKmy16mezjK1epPmh2esZKGFWqFkNBOuftibXdxTM1InRQJA6r5JoGJUtMS5SAzx/6/Dz/4eP87Q/+8++vH5+vU2Td//If/7gXf/96f407X3UQUgRMNPdx5vicH1+fv/3xx9/w8SFUPKT1/mXeGc9dq96YA2GEV9fwzeJXs3R6iaapibA8BrrlXwFgEj4LJkhyodrehvfIO9sm2HkbH5tYNBvXcBnDMTpCnKg3Cryw73ETviTf56NKdd99e/y5TtCk3k8twNWFmPCIzNiBqM637IYOQBiZRD0BNWZyAqKipoqTjWJvH5Vhbwu7XlrvykzU4YHtQcjHj3dNsI43fQCOebRBbw6xaScJb3kwDIMgeDePUL+we5gGITqUWzy2cYZqZeoZZDHIlBDkGY6tew+WHYoe7Nxo7yaayQJb1pDvIh/XZnEN8gtiIXoPEhIbC0XmNdm7YTzBJIHGZptHcYjUgzsDavuCET0p7gM9iSEQeInXd6SlPOjrYq3cuP2r5/0106NXze3r8HbDinpw+K3bB1Vl250IzXYKomzQnUSLSHfyV0FokQTyCdofCdhgyJrvnoyAS+s4zF/X/gkd5DmdE/meh1kWiJmROG6CBUWvryLj4w5EEq4qg2cc4ruoLpHNzEqW6aIonFPKr6OgJ6xyBFhFF4RCveqwJAhZC8A9rUxrLPv8dsHffryv39O/vuY97u5ry8cczqb8LEjG6K1x0mVlfotz8FHs8SE50BGXXMPlkT3dZKBN2GwytlHeSwZldGrU2B3Q1TrD1lCqY71VCue2IkA/hWjLe2x00xYOkylwDORlYQePEnuMM4fHQH/dnxaIjw/+8XrVSc6HHKmXM6LODIHhoIQqvkUtpGIHoPo2lw4w4xcNdid2Q2/6nOjaS+6cSjqHM9KZmQIpVI7TXMxWYkYIG2aVFx3LwDT/kEl7Z/awnnlgElGlb2XUDrXerJTNjrIVzizTMOPhSDfWluE5YRmgd+XeBBdmWdjUoJFevHfdfwETAxLkz7NajxDFwT4j1nCAjS3YyHOKfEB5uGYmLKrjzc867qS1hfz1A/xnHcopLEQd+ez0xlSUbgwoWBLcG5ye4SVqKkhwP9IUW8hv+OimLGrW1G+jSlTcB86GMzV6ffavEt/8ymzEi0uVOLo9t9GuT3LI9r0NgzeV8njgxRzLsWZhlOhP+JiE8cpwL9OKIxpkqloqqeex+3QD5M2vlZyEGWsCYzbmjGfYaoKSP4D3KRJVVFEoF6AC4fX7A34VG0d1QGa6b5QK0waOlF3pSOvVKHNU3C3u0fWs2GVlFxXYYtO9COcSB6dYJIjSZk0MWShXCjK2wu0BwWIl4aKO+5QzC9E+JSs8yW+XGpiNsg0PqBW/hAdeqnPlzMuoo8BOQO2wjWIsKxGT5a/lg28IfBqwiDuOY/BwduVd2Xh/Rbi6Y5eYmQkLtQRcmhFrVTWLHKyHeqGVRNvKR3gPcIAvz0dXkfRRBTkhcMh3Po0e4qQczb2DKTxuvHtmJmofG93o+/4yZzvWM3PD0GTVDnKIOL7ThdlHBcVCUEfA4eFH0YcUXzjRFlD7DFfkmtqcS3zHhD7UZ9haGMkoeIbVCd8aKbLDpDmGCAzevoBHPTMXPR7f93uVy803+JqeEJvLkcyxGgevD+I3oyblkzkIuJNB9AYIK30Z/kugD8iXJKnIV4MoFgpmHFSQcAo/qv7bP33+09/Of/yn1+8fOi7759H88Z/P3//f/+n/+L/+7eefb1HdHUNtbXR0IBOLeJG//aa//a1+/60+Ph0DMwYfp19/sj7qi18yfkYaAAszarS8KJ03adnrBRa0koYdDZHKksonrQEKnf7KxYF18U4/K5s+cLoXIsnokeDh+vVGEs3ugZqgb272gNGCgVvRDBaFM55bEBxFcL5pphc4sJIKbuWsTg5l5FETD+eMisxcP0M4g57kZKDEYqjVINC0ovNlTK+PTyaUfmA2JZVut92juA6epCkW4e0k4GSapJ7EVCTVy/sMg7A7QoXgTZlMM4Wv7G+ZOeaCyLzoJYYSKFOGV9yIjQdhzJSbXxGXJJEJPrfeE/8UVwdTfjAYc6MJc7uqcpfq2UFzeq5OJgRCfgoxB4KjYJaBrA3ac42r81+bJsZZB+7NgeGZcoHzdtpEPMN3u2dA9Fd3h5HMd4ZpbzXAMjszrcag10kxM6tw64gLhX4CoTMguMTkEjAWaG5suTmN5KNGZPaNegNPRk+WMWw0VBy1j5LnoRNIWc1OWQGRHnpm30QaNkwQpmf71wuRqEWGGu2gKFWsc0JV1RN/qE8dTO9v4oKD98T+KYOVsS2mNdEocXyO8f446Hte+mz99jl3pt81yK4PRl2wC2AEu5aSazVPXlat7yOH9DjFRNHA3Y82iK/6mu667AARIHXMfqHecW1fuMLlpPZJKU0GcTXzHtwmMtJT3U2GhzSQOUL7vD6Cz3wCVi2JnZ7AsDxuXrdY95ro9vv9nv64v31K9XFC+FeUW7yeEp8PIXTpUmAfL8xkDksoYZR9w2HXTFvUU3XgKrSvxYoyd01hrmibJjpHFE64pUfUYEjz1CZEPJHTPy9f2CYah3BGO9BtSVSzYShx/UZ8ROwMYqA17DBbM9ngua7amETBdT5GjRbfAteggWJCMAH3bcVfC8DEdSM+UdORDgKWVk68qd37lBSzmgDIJLrmjVQpr3RFG/GWf2orooiILC6eNtmdlTztSMazvOSLUAPXstZfkvbkf6QU2ZsATa6HdvTEATlSE6AAHWEd2AKAuuxVkpfSQ/Ca0yqdOt19r96YXxG4XOogAUDd0z46U80LjmZmbPXEwr4s4kUT7+BIGTB5Lcl5B+JXIeypCD9nk+73sMlA2943drQEUAJTox3UObJ4xSqxwKpLJROtyqOjgOsR46gCPjgEXca1tIWseGw97APUxmVgaIQeBu25Cn2ENsFxVYWmH05BSD8yOHAhAO9mawUmT9AczRNScrlBRs88kKdXVzlUYcksi0RxLkPIJJ1i4o3pWOkZzwMe2cAA1bDpBmsGieApcgauOnwsLKEclJCaquQYRE+g+XrnA/dGcZXdhwqpxYqotfBtJAuK50fbkCN2BsduMD3ZTBnN7G2TVE64wTKm1R68we7zKqOVEEXxcgh6pvc6bbLgt/1huNv9nr7zdeMnzaM5Se1pRlUYZNZvD0XRfQL8LA9T5ZNWCroEqYpFARrxnAgWlEF6xM89yEKg0yC00q6cB/yWRdMZ73zbpRrM98wHYzoJEkiXde75mXnfeV/faN6AAq+HMFqTCIv83YFRTbBGH+Qf0qddqCqQEyvRmys6T+5HAjOLkJ1vX4ImJRiXPlWquC6ihqPRBar6xw/+02/8wdyjrT73/ac+9fnj9fkhEJhePyQxiCBup9Mh8WL9ph+/lX5jFaiRCqM3mqX6Tf8zdLBnbgQoGlygSJ8zt+XpWNki9M56zq61SkbrsvUDcbCM4WO8J6UsumAtDrpH6xBK6YJZ7Y7Yjc85tSKO8G8Q0IOkQ9x1mO44R80U0bcgRn0MGEjYrmPh6WW7wOgdM8kFOUWksVl+wmXjWzgDg4nzU/k4uWabLLhym8eulBHYICNZH/Ccbogd6gEeJqSOwQmSmzS1VUygkHRgY8uxMkF7tXlZBZJQukNhwNqFbf2EpIkRvaYZedZeQArZ3/HMk1DqbTfGb4EzznOJ7jxr8Dl7Nk80XgdjEBF3yHc9tdBGeNSUecFDifUcWVlstBtk4OvmWrZX8BFL90YhJfnjwgeYdK9MGkAw1kz37Z6ZfqxGzLrojv2WhYk0HZDvOH4wB0pufYteHH2in89a2GPCQRifiB+sL3/MRDrYrWJKUgEBFxulg015I7zy84dbjWUxKuTBMjph0saK8pCSKnemBhPrtSDqHMXTqxeTdLwPnoLu+6MOTZ1H71aRLxymKj0aThKmjtOIpGRnJ/PE/DxFdHmmfow7QVXTwkdZY6wLJUGO4ncXajbD4BAzYKW0aUylm8rY9DTeuY2XG/0D7+l7593jr74sz1zhsN6YvjA+QsYFvsYsszsz2VNzn/YdaWQQGnWYV+byNZY9j0qOe6jQPCqAxkGmbJKTyl4TN9xgz4zvz7d/HH988JTOKyqtsI8LOtkmE3gil2rrIJrDWscbXjrpjfk4Hic4OekkSQbmk6+FAFcMrShgrNehM2zKs3uojVEJrn1fowUWV8rGtKMumZfPomBjxpWgqhCm8deg8QjQfBnAGcNR0xWj0UZp5XmPactyMtyAEAyk30Y1H7GDU24WbsfxHxrOfArSm7rCyByi3jCc+JRMDeBd3gBr6cpAsV6OVEsz6H7vD7jMB4ANywJAlHkjt2dgQRCcgoKkhYCdXdZlu1LtB/BiogDGc/oyiCwxUaD0hLwb1lKyJV4GpNJALp8xyIKnztS8P/35q64HjV9sjt/v9vWdkQlPfTKFWmx3rWyKPnfIqgcbzkBpg7xJJYj6mclk8lWZZvCPmNrZue17pYqlDZ5y2UHzoGKUembhlIuuSgGtdFQqmXxZgHSA/qgak5sJBMiVyp4set/pCUyaG43FS8O9yjDOwNH4wdbu2EQU1RxZL8p77GVVrkegIOCui054MsGiaQ75o8SMMgjOSt6jJZfTIZdmy+S4wyjNzUTD6FEDBOc5mYiwY9QJGZJ7pR44jMM86+Pvs7d7uNUnHI9O6Cv2eDzdd0dT9zTm4acwwD/Y+pRaJnnQlJIOb5Snc2M5QqEs9d8Bac1hNwvjRI/6q/uQxBGPgNf2x+rkrrcN8cPEbd93f33ZSXhE3+4ezMwFSqW5VsLf4FFALsfikOOh9HqB5uvA0AfBw8j68wMrTNGDkQmIHmOVAcZqGeM/8CwdI96hkn5I3m+/4grm9v7AdlzS1Aymb4/vna/kAALTuFTGpRk2CHQewptb/gw+yD/642+f/iRUjkcC4ty5ebcIbOnbckKh6x9v+CmKs9IgN1CWVQVZxeMauR1mbnqEr18wpyTS/fEvf//z3/7+Fdsf37PQBOJ9QZOZyYyB+YY+iKl+8UTt0VX8ofdfxcu2cT0U3jO3LOc8563i07E30bxhFM1I5uZoF7KCShnqpo1z2SLWVRN7cfGxrbCC0kRVR+wZHgDe3FyHTOmZhJNebWHQwhmI052DF5lgwJUwwwPX3cLSNdrsL5MRbVKsO6KEmqg6Bt8UHx6LuodSalEiGws53DM7ZU7B15vT42dUN1c716Z4Am+HL8+kn48u7ltitxaFZ04AQMZGRAOyVP3eObnI918AqX0FGFTsQQcyTuYij0Q9Q6JhPqR9jH0rHxs+wLeCyyGCF+PBOZbwj5Kphyr/w2yV7O7FuJP3MrYWj3zwieSpYXuA47JI5Vhu9LypIO6NqbpnmX50JwOi+TonZsbuDO7dM22yiOsBIu0VxBgxOZHg3jXtRUMdrSssx11B0OxHzp8/fTao4PV+/KKgZm4MwavGnW/yOkmn4eqRcKPNU1U9/USrTPcD7Zf3u4g8qyHRwyseUPS7XqcwRVVRpVcVsAVtVbn79ToEcEo4eOEgTpwTAM4MPZgwQ3FQlVfnbMkXVFHUaXeUKdIlAYUaEHrBU8Z7Xnlnma7Xiec5uvezZI89Oodhv1pGkqPgFakAeCcvqHHJuT1pRH3PX1/va7zfHvdt3Hvn8mJqfHMn+unjW2cREvWnMqCOq4PJYpllRWOM33t7qHr8J0CasnA38+CRdN+xhngPC2dmTNb7ffvTr1ed1zUPSlwMBNi/yjua2c4R/ggxEKDSkVzAeWmiafpuDRhMPuc2gY3Ai20sMv3D8gKonI5gInezEv3zbOb7bAEEkRQvhzfndLQz8U68kgXtVacpMrIBPY9jvesfAcDgUqTw6gyBEAAIiB8HSt6b2LP57F10NE8eqkargqbse2c9nDOAGuPBIfrx/yHib2EGspknSXwiraLeCpQ85ONtQOQyCZ3Ji6q9DXo97wE3w1lOdlpueBDW+ewHPZl+xBdQ16qkMjXn4cpRPuEf3ohUv3fQjgnUBjqqJbAKxlGZfp3jmQ/OALdfc+c9H1V9b089LdN+o9iRc1f3tXmHx/OTey2k+jp/Tsvj1iOMwN4oXiXEgIjwF8dyezwf57h4sn2erC0osN0UI1SmcFQVw2+8i4VCqWhCy5i/yL1EgrgLz5dVXFz/oFgJSoiMcCETU08AZzJMVrsvjKd0CtOcrH6Lp1TALgRBSx6IYvfM25zl297QxfCIt6secnLXBAGJ98tgQQyPkgsivL2/xdo+Lc50LnMxECngJcSoQjlYYJwWYVc6N+6Yc2Gg3x2PYkA8d/dFN2Z4fQH4ThDMhBP6ARo62AI6eX1Ygzpojf//TP1ds2RJchwIqpp53KzuBgFyZ4h5WhnZAfn//9OILOeFO+CAQFVmhJvqPqidWyAFQEt3dea9Eee4m+nnABr7kJer/zGeVJe4C8zTx8/bbI9dkc9e4FB9yfoUyXA+RaF+SfP5/Pz5vjczhO8kTHVP1ZJGk7y/wuapFIYpTqljgvbhnO5mneY5RbLYxOfRIpvuYkLAwILFUY7EZIXkd4wOIiwIBhFm7QWhiXGaRQ5qQ1k9uWMn8s3xHVzfzy+8NRBmJdRc+53tiTHVJjFUuY7xd/WXfyj+3W9oVdNFuWzgcoRPCFoupli9gkOCYxZc7deqfZKbwtgjwmulUGlQNb6f+dxb9YO8r241PPw5/PUH/r//7V//7Y9kmq6NfJL3aw8CzRGQ7D/+7f722y3W3/566q+nxCvp9h39z3/5+T9/vT+/oA/Gb92CTiDc/ZhzCWlD+mKYyYK+A93WKOa1WqZ/dSeojHgkSaw9gGpHkFJp3CGq8oXSIvzxHruRSaRusE5mCpgNaYqSbnFWBiGy+Cn37lsGnkiU/JiPckZZVUTxyuW7V3fMp4iU5EF/FtPLL+WF6f0APw2oJtVXXHLym4cNCE+DdSKgfYZxbAHZ3lF7TJpKyV4Okn1xEni+OkEaS5Lsb2KYxXXUBf7B/kOb6pFVwW1GiSihyOaatkF2Ucuj5ueeYsF5YDfTfcOcd9aKcfZPgU/+J3ougHEuYp23gV1k1sB1d0sTzIlsnkmByUeqN90oQh8RdWsKlR4GiIJfrGRQJcUz9Kb9ITv4EdgDw8ki8x02eQu07pYuKqPJhovZq6nNKbw4I78LB/LDopNmOmMGEKmFJ78XBRD00K1IwgO+wIWb+yylVnBqpuW0d+6ckE2AtNHJKym++pDoBvuLhRZOd/epdqH3Auz44dxdok+xvDKeQPnlcjtekqpcaxW4m4TLJHoc4tpwei+YmPkHyDLrmC5YFbMqxAPsNHoK42Ool2on7eJhjHVoDN3peyE8D63xAmV21wvAV49GqLr6y3943Y/18R39mtG8rjRvv637kcQ79+Zs03Awo9vo2ktxlW5mEi0y8WimntU7LrxiY8m/cE29sXQMN2/Y18FQDWPonlZL8/mVbsVCoXgSPl0vnHrxlY802scqy91lq1hsUKNamc4G1/cq0V0AG+YtASjK6L28aaAOtzegEHktQU14P02UzUiOcrSKzAKYadYgPBE05MldoQQfCF7MpjrwxAlMQ7zBZQiiiJki/cSS7XEP01WdXLO2ssH4AV82BlFwTbt5zRp02c2xO8kvQJIL4gf4jE6dxfA5TG10abVwVQqRjwekgTk81dc7MKZdpYI7K+/vqhE3VhAJP1icMNcAJOxzE+Eksc1D2Yz9pNRA44yJWVGg9UhEhwGtt0teQUIyo5W9ZPmo5LpZGE2gPVU3+9wWxHFr/FFrlIi45BxoNGrJH5nAj4Qejg3I1+dgP1D6YAYHjO/MME8yNONWexkTA9+LX7EDVUS+BdDNKh9Epl0hHtXFHDOBtAtMAfbmrAHSJ2KTwTaWsOBJnCFNrGhf3+YBUMNqO2kFSP4Ls0mTkVOdV/XGZU+FP89AyLy5KwUhFwZkb+QErIUnD1iFQQM+22UK194exS3zqpLF2JRVYRrBfeBzXQMpqMruIYOFrldEeMkKwlANl19VnshZva1SulGl896rwh2Ukt+iQfmywAk2l6SzqUWxMxblWVzV8J5gHyTJjyh4DNaVooyLhAOPDmtNUFKdFtHQwlyG5Y+0rF0EohGT2S7MeyTcvfAoYFF+F6i2r5xanEuWA3Jm+dts+Lx7XXx1N9BfdXhYE4t+2SVNsQFI1R3mQalQiaJWkQ0DW6y4Ct0HJV2qHDuWBTRIApqfRrWx+toz/nzmPVC8zI1dK4qSpBpNFGZWIWneP/j1H8/Xf+z+W92/ZH2okXAZoH6m4UtsHJ5RHrqNsxc+G3WgZuKuQXuILyDCEmsuqi3pfvxvP/k//vn+3Q/x735z9fyan3/88S9T/9f/+d//r//2b5pD89YvKh0n9WTAhOgsC/qln/9T//f86+9/+fr1d/X6UR5rfP/oz+fzP/7Hrz/+8P3Ql6NDDHsKqHM9RfnOZl2Q0psZS1dDs49J2idgALoOo610OUyx0DAQX18KV8biGEhWJTR6qNx4C2ol5UyWXvfDxEZFr48Az7v8wXxMhDsRn+SduAi/EMd9J2YK4BQcTXiy1B6JPcw76mdegB1u3WYabiJQzPIfqXy2AjAzXlAhQNNVGps4zMXSME4m5e/1wA9KF5yVPIt+cAEmwkw7YUITQG/+8cKBTuY6M+Q7014iFgMKLsSDyBaD/sTRlA+5VvsIQ08u92OU34W68i3Ha5giTjwqnmW/g3hEcGYy0yY8KMw1V8XjmA2ILcct4pOCUoeXfmQ3CwdxgDYH4mCymdT6je+dPVhQJK7Egd2Qo3DKj2R4YElFXbevch1I4xWyFdIOE49Oth3zcVQvh7CBEkHqAzZ8h912nuPoI0PsEI/nx86i46xQwPo6BBXstMlQWKnGEtUkqtTkV7Nfffp08fU6rlvoru4mmMDxPZODPXeV4BfJRqmmhu7KlJF7OlvsGDA76U+pvd0UUhvdGLTs1nZf+w6a3dVS7ryiu/iWm+Yh7jDpbcdjpuin6rm48mmiWMd40jYqIml4KOvsqixVNftFTPWP4l+/qIEYZnneb91fn5/3cy8/48+8PPO5GPHOtlCNhyd6YlH16HG+1X4VQYMmxtKyXRuy44wknunwT59RJ7UnmW18KHZo+JbPS7rhFKevf5VPU4eHRJ1DXfQrUsLNTYYqc7eZ72ExQUCI7X/NH60foVhRAnvfMA0joYlQx/GVJrcm8pccSxtNWogvkXkTO6dCxgAp+KbzQK9gJItGXo7ZSOUCnU6UJ8FtHsUhkjeagS5WV63SZkIJ5M2W2J3wMmBg3FIlgoUMIFqRR9QjTXyEcefKpGsfm6i8SgzEoq6t9onOpJhzyYvneGx0eWWo9OcR8bUfPNz2jR3RS8h9x1nY6XuLDhVLtvw5k45Um/tY0qfS9i1Fvvk02o216dN5xUZmc+YGPI9aJCdgOIQoK2NDs9FuNF6UqzQjVnR2OLzad1+wqLnmWMLFj4xMGecsKOvOXJkLiR21qbRTrRGieznaLE8k1STZr4JY3V0VPXlF1dEoxVFSLHYQeiCxz6citreVlJdBpdbkKTeoYoqcYiFDV5MrJAi2IbgZbUjyqlc9kNM7XXdpUidIYWgOFvIK4Z8Py0biZJMFnv+bRa2LegpdAtay3G9nD04O4aqPsjUR23cXBCuXHtMODX2v2kWo0LQvgfu5FHnvFejLn3Ka6ufOcvE2XFfXCz7HXxWEe1mKvF/PNu08tLY75kwWDUFj+SrAgmxXMofyQ7licCRIZqquBvykTzwBKBPB2Cfv2uQxg8Xq3K313LNhuZ4X7tE4IaOINMgixIc1fJibaibZbhF/vlBjudlpxUK9EoA7G23q0pawAklMlmTokYjMwiikhtFrPwkZAWktybLnlwnd94fjO2/NyEmpmTD59PsObd3sFaMP/cUCz/R/On/5z82/ozhs83PIcz/ve5HSYM1WWO9uSqPT7kpQ3VXlqs60G1qxcpzgTLDQ5udCM5p5v+fzB/75f77/4e//8tuPvh/828/f/+3f/M//9+9//LSEz0zZzvVRGKkSZZxjjQb8vtDvd37V53eboOR3afjH+4+fv9toxI/Geb3w4wd//Pbip8b49fvbV55yiR/UazVJ0YwvLm4CFyDdIJs5BSMW58AcEJtgKdKaXepnxVrhv/G88li5ChJrEqzu5LdCxbxUrrmqN6lCJXIaSLRMxf0aMzKy/W+UxeTiiZAsXSAYe2P9RDLAF8BK/KseqaUbTiMBuFE8KD7Gvwx+hZZ9ipOGK5DGYM7Cu/uWBWXmA58mNuABI5j/lfcUm12zYP6ymZnRZ/2L6zxbYVBMAjvj+5GWMONGwxbi3xUd43YiwRe68QOeIDpjF5gEc9degksD2fCT+ZIrFN+J9w8BoIR/5cOK/8rf9NHHpEGMxzesQFrnYFIXuWnN5a+zhekStOpOfG0czNzgb1HdJxoo1zCEj5XfqhyllpVoB0I3+ebE7F3p7HSh6WK6fva8MooYY4zO4ZKXFfGW+9G2ODlF4Xqej8OKpSKQk5PRScNdfB0UXyx2ceBqvup8HdTpah6gq1n9OpX+sjqQom/SXnFIeGQj1rFsEnkBc55lIovSNz8my1egC0fCLTU8w7GQo8p73ZYguOqgp0qtl+3Xgl/mqeCgzv6HNr/BMm04gI742WeUoWlrZjN+h1n8Ya20LFcpjDpo8bzA+fqt7/2t/na/PsN7Z4RfV/eje+d+/FMzvr5fd4wa+HTz+VL9DVQb5tirOrhVJcfL3Ch7NoYgSUv9mPZqC02EhbqNNLQS1Yn6AT++8vv+3vfH1+HXvV8v4au72K9MoKkDf4QTxKh2nDUIoU8WVmoVyeWwc9GadGPIVQ4aPM6TVwEMrrRzf5YfLxwbNCvHQymVx4sfOJCA9g1mWF6XJFQZJ+jdfhuzcTdAugHIUoDiggsVi7KXsIiGM25JjIY41J0H4hAzsjMrDTbeO0HCJduujUgGQruvSD9GsBU/YbuaikheA532zV2tOncNDEoPxjIZGf2MVZt5AlQXMsZEp7n7Um2SVAZKq4jiU1y4Ry161hagMKcLkO4BELJgt7+5nwVt17OaUmy9d/HhvJcJAeyO6hRVVfBEuuHAQBbMqmOYSfJKRxOtC39lAKoy0Re2wvnVEefUQlfRYE0LgxtyPd9cGwO6wa7CacbAoIT/tlNShyccJ1MgvABvpvI13u8ZueM7afJ0Ygvw6lVCEW7GgXL4IgaU/FXbp5mvqgqGpjafoRLGKKBGT1liMqhXkqDAL0G3yXaZ42IyvxLvmQHUqBzJAZNDGmZJsOZB2LDIeVKuWuYKuyMuJiM0Bz6yr27KMS4+I0H3LbAx+pRrPGHht5Q6gGqi+j0ya5E5GuIQx9AHqgHIiQHKHRnsA8CGGme6MD450CYVqCiBsHpoYgvPInOpE9nkizUeqyslI1Wg06RmVSrQZCycQYKU7vwJDCYbKx48aZK3OYqCQIniWxU0ce+8fjsspry0RBUTEgGQ5eomNaFC0e6pQDAOEhtvdNb/8W22MweMv3FwGKtltOGRpDFg/froXsytCIIFSzhFP6eXbXHrXB2PDIGXf/xD939o/Li+c4i3oPfPX2/cMUeYL/ICEqq6/V2dBRbHr35yiMHasP60p4Zx1wXtkt4zKJT5tn7Or3/+1/vf/vu/fb2O6fv73PfXvfda8zYl+gzL/DDQbAd+DHtPYWZo+/7x/p1AdYv310gzOsmXnPEL5Ovrb3/ff//Xqr9+UfTvn99/Y//++uOP+/mF736ZIpxim1VKZkVmXYmSjoG6ix/laBemAOWUTpqQyQYnFl9gG/AYHctmp9RWWHvPexz6So2Da2ngPPArdIBKsRzEcHNjUp4FfCPOy7hSWfizEjcrdRbcUc6P/CdygYKzh3oLmBKjBEIcujaGKisocOMEwzJSRB9u3DLSt4TEdyT0OKhJRo+FuQNQcWVc+YGDKWOvtBR+PHHrNhD0ASSueTbrQ/rEVu9xVQKHKLrldsoYanf72EjzqwcnCl7ERr2AmDV2wM8cM3Jnn8hTAK4puurOFCg8HU4amBj51POpyvu1ZnKPBn2Z8XC4S2VU/RlY2DE/rlMi551RAxg1SbUzUmkLyIxMffs69mHBDDv/RYbyaW4Y0FqQDh4dYe4dG6LvOkkxiUx5lNeUHnGc80UdUAMDA3cbwCs36GEZB6xXVfNVL9KH8MFp2ptV170YSaT4LBKa6/RGztBb1lDVNck1AOzbhjOLvK2aSlZTpulsJvFFluJNbvd7THFFjkll9l0YGC5V0ez+4Fd3s0S8Tx/gAzZQ/fSLJWjnsYvEkpe5AOLboO/0ZhOE5werpRTQd8Y50ca2WCKyw50XjDlfdB0MeyTMjPC+H9zXr/GvO/P+9b74/T2/LjEoSoJTXKzK0Lw+Om0a18QskpE52Ovs4wLTZ7XCs5WlYrWWGgPHPK+5NxrhsfrzQnWP9fn80fe327/Jf/1qFF+dJGQOsaUeE12OGC0KC0PyeZd2DfBoj5DKc7gKvOOj2U1aFtnbs/ZMLagSXAnBi4IC6SZYP8vYB/gzsXDMQrGnBpnkN1BNge4top6+4uVTVYxZMblBoGOrphHiQgqK3YxPZsWiMIvVkT9t6ihJ+KJ5EDmchbW253KOLrJ9jVBm8QXuuGdWxZMWxjKaRCMpX/H3jxelqZ35d1EPOYowMBa4iQHINqDSriaJPKjJ+hK7whaigZNA3n3kSNqR5Di7dMVcJYpoBj9R5zCFMWKXga6xypesk3vPdnVYYCTm2oZiTNxZgilxWXtZgeyu6spdWGgkvGlMdzVH3rrlwJATSZDvXBo8SYdi9aUaKuMGIRuU+QN4XxZllzyCqYaZuNEEX2b9T1hpqOp66BkTTVZVE2ywmkCKZWEChweIGr+zcVZn1HSUxqqip1Ra3ajC0S1otRaIpmcpQG40VkipmAujhc/mu+FDGXOFG0dd7mmT1YT0uHI+M1VRCMF+lYU6VQs410eQOHd+/vIMLn3vJXmvnp1Qd1z5y1UkfbM5dtLrtuIypmut+S3qigXtEcG3nsDa7TDyNU7R0VbMdmWu3+sqhjAa06hoN/xKZsP1h8Oq8ylTFZQsU0a1NSfiAhMBZ4r2LVqz66hCfRNEDWGNhI8AreOkgOpUk4JmswTfSZXfTVXuCKyZlCuFAdKKkENhe445nYiNWoKOWYJ0NrklqYgMylUbnwiMKc3VXPW9luZeSpaV9HnZ8QkwGQBJqEp5e8EbPYzz24t/O5+/XrwGav3C549f92cJ60NSfViFPmvjpIvXPEXoJC1xpytMjqCxB5xfOkwJfJHCj9OW5TL1+RR45peJKRduSW868pk6xYmsDacKou3rNHtWuwHhDHGXldWdsbT91uMQ0Ed43X/4j+cf/tP5yws3lsm/VH+KX/f2x8OfqPp4TuMK/Shk9rWDDYGsnisWEvuxOo2QIfAxnRiuREhgthBpAMRprQKmHpw6q1/CxCq9azg8iXA88xoKBxzXx8Xe8RXsU1oxF/rT7DANHjMdZZwdcPeA9rdenf3kZiRD09sjiqSdZCGP9tMKr4Aua+Zh5aMrT/guLgBP4i6Ymwrp1sVqWTMO52MMjLoyfy335zXpfq/fhNOWG8ja4JO4Htr40ffHiCRVQ2wGM0avNCB0e4wL4X7jQ4j+vf6c4i7XN/VIFbw5HysxIfa/hLV6+8rCnatAUfnJsg7dCz6u4KBg+Vzyr6KOh4vs6GVwHmmmaQzYaXmTWAcp/EvpkTLx+QkzzRlRmDibQw7szew0QQVG90MfkWP1ysEDniLxGabP5KsRQgtYoHucT5cnKiy8TrxSWOFbna845vp0qXuzzrq2tjQ4jMz4cwUtv5N7Co1UpcYwncc13zJifVwlwy6P2ltYSOIGJtzvIZ86YS1UJEc4BdrVR1A7VMKGuEeYrAQfVNXFZdDoUb1gqNXDXqC2CvoYhaK013HGrto1vSc69bxNtnRjizSekvcoTVBNw2ocVy7LSlXi2I1L0ufVnD4v+/wG/bL8/vG5+ssv//z56/1OTwht6L5UF0hJqHBL0eau0UURtwiAWxhq9TRJJkMk3y9VdwtNgparWZrPvmtDoIZjU8ozDn9+ftT36m/oe3jY9ANfMRRfLk2DHXl6mfOk32cbzoMAOMKI2Qcmj7itqqaicKFsA8VkZ6mwH2492HPogmiG2t5yPQPaXjDkvtGakL1Cw7DumsA3eSOe9KoEaYrU1apb8/+17upKy3uCUOmO66hwsQdNdqN2Pv7wdUhdTlA7s3OCxCCXSW2FALs5hCMsEgtfx5O7Ms5oLkMxMjgQmAiJjk/hAV88ZIiTio8/OqCMNnocE/m45FjLZUlacDoQfATjmTglMsE/yO3nOrg3ny8Ghck8lHvGexMgF5MqQhMnmTL6HIwKDUxYRPQqWXLQoppVVXFtFft0ow+iJhuCOG0PcMIZMyesqRcORFbLeBH0lwsYEwc9oy67cK0v+qJ9VYi1K2aGJ8rPhZOLvgszkT5E/3x4TlXUXL0USWhnKaHt23UQXAzOfmw4GQIr/JmDVvIsyRPFbHi2nfDx5B5lSYocZZsYKr6Lsmaw5lwpKHGZflWx2r0uAF1rYOo6GllPTEFFvg0AF8AHPhtDff3r89Ykxi1kI7e4IVRwBqYE0tA0ZvYoluOG4dqoCK0tP2iWKkmlQzwjBR+6Ipbk3WefEcTsjajbC3rnsqpET4ODpMcnAYHB+ZNd4DQHHVinji1vGeCjPMvAHaRNvjZubAp6f+aOL91gSTjGdOKP3VHlsQ/vWwW+ai6EF/kBWiJ8M6KEyQ8+mnnSM2Ew6aFLTQ54UoNmoIUmJGzKQAG6VwA/n/uB587c2JRrNB6MIdTepHH+QkFgP9ImF3FK1A+fv9T5C2/j1Udv/+u//pyPxSkcMCV1yHEJI/FUOaiCZInz0ImxaM41GrgjcqLdzGM80wbEOdCNkFzGaLKH9cx9wPUmx/1qaowGUDj5+uDCdfiwKjwUsiVW4PiuAcs+ff7hH84//m9///d/X7r3c4QP668/fv2cK73fr5/nV42rayYvFMBTZQvtBKLgFO9qH/J05kDeftiWxH36YzmF0MW5Ji7xKvwZLlFGjF0dtoRsP1h/PopP4WNflEizGt/Reevgdz8rZDT7y+fNJmFGtU2gPCOxVycDAUg8tzKWCEg4RNKDne0HSe2nYN1PXoqgAi7Rse9rp/sjbt6/H1VazqlNp8o/F9eEsxnAO1hvmve+cnw0PzKS5/fkVqbI1y57QEipauTCiHJMJ3RHfLy5mytvjAx9PQV5eOpPlzFAs3hiZUu22mYs5+IxgWvKvvOBe6AIbJChwZeGsbLf1T8tCoundZedaZZ25rJKE3pxAFYGVGHi0kJaOSBNlTF2QddPm0uwpoREBgGMvifXufFxylwd/RWQf//5MDsJ4NbNsIRZ9sUlB9gmSw1CdU4ffH39+Drsrh+n61X9DCfoB9dfN/EjkgB2MgGrPfI6w/mVPz3CGERTOVZNo5+EQzzJLXYs1s7iYN/cx7V4Vx6qDwrYt+vZhtycSOa2QD6LuM0nPV1wZYxffLyyVnkkFKi+CeDm/nkneSH0n/RaYQiPUL75w8On7NJpG46QM7jxNU5JRIJ1ooeBpadGB5GQrEkILlk6pL/6hepz//rj633P560/fv26g09jhiH275QInI8mGEML0FUl8lmDcwMrb8BVpmNfgS/gVGaUrIuuTawKvBG9sG4U0ZLd8/v4xc/Vj6/68eWuoFt5zyJlf6Rjdpz+WVMB8vs4C2JS0qPK6sQL7eKgZl6FJWOBpAlFWFwrZfBDqRGjzYiRLthjQ6hS8DwD5SpIEzQ9DJjAqtgBZLCeyDGXq2Lw2Q9FHqIHVUWMF/VLokR1XGCTkb26En6YHvsVRqY8hU9szNopRUrDKjs2lbKrLPNmUc80u0/d9o/aWK4M8SCFXi61ylX7TuTgXRFq2MoV9wSiasAdBVWe2yLHJMY3OUFj9mDWObzgwdxkKclJAtPKke4vP97l3cOFKZcAxQnjxapCAnZgJYBOnJS7yxN8XHYjYwpcx99WbQAudG5qbB9GoTZ/CO19Hg6pFK0VC+hNmd2ITxNHKvDG2eODGvrwXLh1P3pbdj4lpFUk72tEKyF8Ymer9tP3K8B2zQ5btT3dKBY+9/vhvUQpoEU3J4NDLmE5BQYweBLwgn4u+bXWl7f1oOQP3QL4wY2IbU+e0YSVzB5LEm6e3chG8rXuO3Id455EtOfpUDG/w3CCaAj+3BvHUYHlvvTmLg1Yvkl3drxHkbdvMG5CY4SkCU46cvMUZ47ZForFzFCIumVVC3ErDuDru+DCom8lqNyxNIHFpv2kXBRojeV9vUmfPlVu4Aqk2njP1L6LhGfsml45QlqiBXnt6ffqI2rELhmCTh51xqCFPLEaVvN+CsdF8gNQLSgaRl24I7azjRqP0dgRK+rE4Q0Bnjs/VQc2XRMEVpZg444H1A3gbsGjD6ZEeG4kHJFSxcSz00IiQUmqhqpG/R3qL3z9gAYzvrdUS1/NCs3CkEZ7t4LmOIAinA9SDquOVzg7xMmEX3VtFl5+e2LdeMe/w+e1kZrCBV3oYBVpm2WxE5VahLV6m0qZIV/BdpM8BC3HpGNPuQuv+fv/+ON//c/9ern5eptX75LqVT//qDpk4kMudrp2MJgW5mNUg6ZclSaGvcw9yYpM/8tyAdx9PTjYjSah83DluCxY1OHxBFASiDtdYH0s0G/hjXpvOg4Auu3riFxnbjd9T75Wj2uAaCiTa1GPnWvhJBa0CUUZzetGK56TCiR6ZGB6E2wiUFdMrE048hV7iAl0JFeE5Mbhw4SYCfTbSfiBSwHttB0m2VBazCvILiOt4yro1nIcLHXoRq7DJxDQdv35RREEXSd5rRt/t8BZiJAmVnNbwDxof6VOIsF+Ash2R54FdXcS9OWRfa8/hu4g9lFfIOAuBXFLfAyZfaKadu0SZdezB7ji5avvB4SILxcp1lmNiIPtJSIdmpU3FJ6OkBSfx/KcXTOw0OrVwQiCADqQHnekDtoa0eVCjLOzvIL8s6LRQNeLrn599Xn9wOu8vk6fQp0VhxcKFWFHAxDQTptIPwvn4zDe8NUmxrjcAxrAp90g0Z3souhUd2hMylA6FzUxmxKUtJK6VW+A7f08TPNxbgxBz61arCQZajHTYabKBd/L5dxjm+boo2pahVea/Do6SapXQwRv7UdGuX3Ylo96Buh8xLnTHig10LLUYTQ730/+eeMXEqSdspP4SU7l/PctcQ5fJliv10sv/fbVP+/8/HlncD91daNExnzpjH5pYm4rTnj2ruw3ICMPyREeVVmBn4Pukqar3Zbb3x6VSDRqv1AGvS5cG+/RXOnr1cUXTuhwRymjRR0r9I5OpCJao7/2mBKj4M3bqBRsJcQdl0ZvugC9Pm9EsMM9r6mxa3XwW3w8aTjfoT/xTim+xQS7zr/NuJ4uXOUSUu0xwmIHmeiy06DAvEcxbpbN7uydvdcgjKrjLWnwrkCBQo1ht2c3IdCkiTqMqLWeEs79wHJiAN7+ChY2CVW1COZ8LgkxHVLr8ReWhmnNFDlLT/spT8sL4+e/hZlKRImwLbkwIe6KiDVN6rFKMrazTc5eQ28FFKqQUVyDGVK1BAFUOISsx8zZZaAh1TEjUjZR0cnIrLZCMFQl+A2ldg0dn0Bcq5VawjJ9iiswbYZ1iKehGg7Xkkyc3BsyzwFQSIqX3E0WP4fxJOsdS0fQwSQHoPLkhUCr/IeGK7nDQKFXoam8M20qUUARDYzIUt1Rn5JxhBVOexVabfHbFQoGxlpsMQcO93jddTi4/XLmmjw/AtHatF4O1Co0RuDlB/r1c37dC1G6chff+WtGLqxdJeNMzLdZpiNhMhDFsZ0ZuxTNQLpn2lD6DPAIeRcZCsqjSbcYkHwcuwOGBzmTmHxmzYZ3lZ92gTzoWf80FWsEx3yRKtpqPpdoLlhwvTgz2duvbvdBT+NroILfgSC1k/ZoxfOyRphJfmlpNANGXLuV7C6vlM/EmQBEuIYGR7ZxSrcdhKRBe4hDhm7RoCoVbTfJ7CY4SimeCz0YxDE1+1LSNb4SId6RrBl9HEly1GG8NlU3lUQJhoAhaYHY1PHYgIb+IX35x9+d119LB597762In0RTqLNrGr44aBJqdngd9iz/8vg2wHkSEWO7iqtbQuI8cyYyGaTFunCpANmX1QGTNZ2YPhbLOsREJsg4mABpk7HBaqb6QEtGmS1flg/Y5W5+vfjj5Sq9+khNwwNW+RKnX8LcOag74qwcreB1NSScac0wMUeBRvdJ0mKokRx7aOICYZBY6TVcRgsmeNzePAtD9AfHV1NzAYIf+mOajRqs77wdK5GMwsz25qx5oKxw0vz+U4N0Lx4ZNW1+bGzaDghZhbasTbjn/YRLzg0CGKzVmTFpkkUEldmAHsM5rbkwq4xQYaRnyHU5rXaWG6sQUrONJ1ghsAew1sQo5r/F8qjE3iZZJ216GWQIJca96jzoe+XhZxftJgA2twm0C99g4d4qHndHM5NxjqwZjzSf+UhzoTsq3nuxPjIj87jEjl1k5eGcIWtFls49p/AmUS4jss6tYrBG6C5hZtVP4U0ebEv5du2btuTkDWZXksCqJ/cfOUztDTpAddgSRwekFeDl6sjsU3LaLZWGaoBFFg+qz+mXvr5Os6p5sijx+YbU2lvYxrU632QW1lrRFKPVNtxE7qGDMsBXeQbVwX8nmj216cQoeJ5MwSf+jvHtAXlWVlsMs1rrMmfZW+7js6tcbUjmFZ5riM7OuB+bnXoYTTKELF/g63h6qh9EbyVqof6/4Wgz4WRcNWc5D0gi9jpDQQDXwh5LBHRr7QOruAkhsVvcczbmWkX4qZwp8ulGQV2vPlX3suq+7xx8brF041y57NfcsZA0MqyUewG2/E9WXaCrnA4mjKaass8QNUrbVjk8CovBLI13EZ/bX+0b4v9zpcKw65y+p7uI7lxacqDaajm2CFiM1AFuastc9uCGHPvuN28v2Jphlg/bhVg2gwBEgHyvi+MZowQRw4lgFqucjqNAUu+HMos7rPCmnWCUjK+2UafBVKKmmtHAMp3Tbse/E8V5JjIU0ZoPyTvOK8VUb+0NEfEy8c0EAFhBy+MtRcpBTLbWkgAsIBDoQcPHAV/pnA/Hd7xFThpwJRcexITkPS16peMPNJCN4Nvi7offQtlDxuNg7qpkItvMYQMxAz0xCck3i7xROyIn5zlAfWKFAmKuR6nK5Gk5gNJ+9wnlbjD4UwWxjI+4hmhWrgM2n5SkvHxFrufhgZUy7NNW9RkNU4tn8Jyab5uZm3DDboI/GjpHL3z9OHNlXLPuWyOjeaXKNIMNbz/NOiSr9j8IQ0MJDSvpm7Hau4sMZQ7jXhQ9UnS8YElKirDWoKk8zrHqIab4b1QYAZC5T2xCDgwowhWBnsTXVwIPChcz+Px6/3x/7nCUHuKqmptYq28CF6Se6CMHsFp2KL/8pw+xWhwnXDxqLitA8OqJg0rF9YcHE8kPU6RHnqqXCrDVLDe6Ep+tQj10Pogm+qR6L9axR1gQTEExIrY7yGBe+6zwiaKCoWuSCfQH/CtvtIntXrEGcdW14VHCdXAHtq9Gq5+eNM7GU6CFTjUuH5yxTMqfqr6sjgmbIA7BQtNMUniHZAPGYUow8t4hFzhXw3ah54pYEW3ksQMl1z8hueOakYUrAwP09ay3hwI5fuTJK9fK1YVXn19491+q//ayVR/Oh/c9FHfli8QsJ+CgD67Je1IpTkCFQg9VB0/iVyelkrZG5kZvFzFTNfaXdb2PmEnz5pnLjW0WwUbsvkDFpw/6yBLUsOtHFcQp+MM6TQuT2gK5trYQ0Kn+4/3+t99fP/7TF/vi/qw6UeR8fmqw4kau6jhp+2UQzUe0XC1NuKnnsQqII6pJGZ7ISSIHCW8brTuLMRQxd99S/dfBk/qDMSlyxiqIdVfrvYt2cl1SFxx0HEub2qFAA2WlAszYfM1oqp8ogIeSiYx+oWQY9mqIZRYnfQVJtiOdxIYHWsAgFqTI/OLxP6FuvOct5hGBcKHM1B+GAvQqp9YElN8D+V3pDSN5giqXGIbldj0zbIUVjGai8JAWDMAOmXUy41RFYg/E5buZFU7kHhAMqS4fmgLj8Vvm1K/7+YzH+dpHk/C7THMk9VSwY3a/9sRsnMbS2ZObS49x8ZlRFediLWokPhqmdQHG1jk/R2Q0BGEzg+85kj4bZmGijIpFI3lya6WLGyA5UsZE3n0R+D0C1kJFtqxinyIODqq6UlN+QCY9nkBsku5kEMxyGLl3Kh9wxQ2Z+boYX3kuk3EaUKJCKovZ5nJNZi7J38HxbCsed9G2KrbmlQUGgcrEzPJE+bW+zosqSoNsfo7pIXRRJGrZoif0ZXCfXhcYTJC8GkwRbbq9tQDCwA087FN0akSj7yh/aHUycA72vHyaqlfolqAQIIc3nSimGn8skG7U0/MxIusmhPQdfy5V2zmxf/f5On8lP8UZf9367cf8uvi8P7bfnhf5nldnK0UcHRHq1mYTZGUzMmNPYsK6eD9S8RCcLhzUROo52e+aaEdrJ9Jlaj7+ZQE8/KlzPph+8Uyd5qnGR2JVTKExwbCki/kOw0laWNx8UD8nFOmPLmHSmHJ7lAGUyC8AG+OQ9CXCcQ8Z5CgKFDSj68Jk91eVRqegh75epMIAp7zFRwWSVR1zgqtzklZln2Oyn1fFtfvkBsL/+SaIEasielmb3OaPWTwTST8N/xHda8ShTJJUT4S/MexWknjqwaG8W2yqT7VaGK7/eTVT3s9TI9I3CqSJqMZVWGGiH/NByP4IbqCMhwYOdlB67jAUX6BVmdOE1BnWWtG4CQwBJFBLOHiVr7khWLJPF2CXz9oYRigWx2JTNxuSlx7J4d+oAFIJ1Q/vntD7VRvycSvd7J8e98EWsbo4m0W5vET2mWoALbs6G5/GqqMLvWbkmdZ9h4Oam84Pmj5s1UbTsqjZqqEJ9TMqNohTnkkAP4juhwBWJtUGivH3FiscxsTzaxGHnNFsvWiI52yZ2mwI5nM16OSYKE5Gz8coc35d/f7zM587F+jOmQZy0kEd1ARxXDFNBsLsDoc1LfTmXk5Qfy7DpUi0FowUZ3Evq0DzKo14IbrsgG5VL+dSLQv7gUTGsbNTZYraZau7PEST5EEEZpHdRNfLyBGCWSwAKecvVmAX3lkaxclIiPHIAxaGHysxHpN1KAiFIIync5P0GiW2TM+q02vWw+ADwlXC3EkQNIkGWP7wVcdlnMP4P7OoFuLrWB2udMFHliebt8APVEyYp+9YmonufnyvSF4pNn4P+RB+anu4W50daXE8O9myL83W199+vH7AxHykNHcIzRbFQ3/kCE1gSX0qAXMkpkwO3MlUqI59N46cqXoJehFGRpzlMC2gywiOmxzoyzVFoJtkcOqkCqKAsQ7ZX72SNg/Jw4Ouz3nr9gwOeW2AErt+lD+hFN+/8P/779fuv/1dk7T46/f5l//n/fPXG3JpCucNPaRHcmjEMaqThTNCARcGiwe+cpnVpVzKhdqMRDwxiZUcup1ETuWYjnLD5TvxA2yAjiU1RzQzTrGLsxBjmkWyCIRfLXIDoDIwq2rbZxJC8izykX3ZpQpNjo2Vg2E+ZRtgyPldKNCBILysW5CqwFFO/BWdqLZI4DbiJjKhJPstA7xnBgqWcj0vXpTbL3wwvg1E2gjJ/XX35U86dkUNFVcpKqLxIigOtYpCwhuFHFTesaeDnYF0aVVHjABOVw+HF2Px8xnZN9g/bNnfRXkNSlDn00SP9oheACZ7RAbWYUQgC8iRlCpD8EygwIjNExi9Abem7yVbHEhJSY/9MRz8SsYRbtt34Vxm9cnUYieGoGpL5ygywU06q5MkI17IHsA6jSZxUHK9+AU6DtUI4KkCqx7N7VJdeXAiRRLYE9VXdGdXiyFx/cVwFS9RrCRCFK3QCTsi5yGoB7hJhmOUs/mmkEAsf6I54HoPZfcUAD2KypXTw3gs7rKgYIa7+wZtANGRUT22tYjUPLquNtzuicC3fVzejy87Wn7mbgjVQmowjS1z2ExdR2GVVy+h8alFLmFYuNFu+7kXs0PGjekZn8aVAwvGwoxNPwJffeqrLOlL9uuHNJ/++u3z6w//vDhvX11PCTN8XrUHNtipCq+ZD6rgDxH5vg3wEvAAn8rmWGiW2D0uF6fBz3t8fIDz0nyqa6bo95zilT+sOvythMOvY6hO1ZqDKKaSACAznSMux4joaWAM2IHWojuHMlJbgQtSg1txGHnlTXj4mlOSOQnGI0G2RFeiakN3+XmsnrQcMs0qqsfGSbJRrtQ8reE/oHEFLl3XruH4aBL4mnHeUzmYwMrNO+QpOy/VE2KcM13Oj8oO1DdDNFgYr2baAYI8+57AmfOMkHyJcigjs0vsQyyPkycJG0V9tC6VXHmZupNzq+XqUWcrbMYLOsvq6omO+AmWYK3YptIvV51mCAsqnEzlslYesK2PedEvVDG7VtvbXc1jzXKJp5r2/coIl9gqrnaSADXi19mJvXvFyTZO9ThIA1CnTHDQOSd3nsBMMC4ftlnV1gkylVi94dByHWCUmEzzc3Vfr/Adt75XaC4DC9DlQXMpVoVjWhUcZ4YsPeddkoGjbUX0VhCbJzl2SC62UUUn7y+OwDwoQSZWD0mgXTdg7cP4CxU4QeyPPDPvz9wbEob0HXC9DatWC5uPPJ9tzwBrXB5znfULIm5e1T4cfBqOvl/lMuQRarNRGgTLzX5urQh0+wTvKVBdtUQliANoW2Ae4qsucZD24IAEmDXae685s6jRd2KWzbwIxmwMUSJvMS5iiECD5MwkCXY/6fCBpVBSpurFBrPN5Z0+brVq6yiW+YHBcJImVAOb/sBFF9+6/GLdC7a6VpZ2bdfAJb2xCjISFO7rlB6GX9DIBt8fWb64NjCQbTFBIatPWzpVHKIF1cYgalpUPz/rkC+76/VX1qtZ12poikAHa2ChdMykJa8wUcMn/WVWdFWMIi64o15YODxo9qZ22hXL0eojZXsiD+cBXWy2ou5wuYBqN4GuRh+jT0NwH3DC951Tvw1//by/ftaIX6AKr9NXsg/J0f35e/+z3r8+83d/e71e1BvvP+6//Ot9/7Tu9Lwu1eW5dB6IsEXhLYik08pKgxthNDfUI2tRbL188E+Qaa1jQZ6rRE9I5MQODHwqvqgAgTBbi1i+kthWVYUma9xFqLTNAQz1ZjHHbZhgR+id0Ze7ethIgloU84iYvLKTWL4RaqQpz6TuoKvTXr4jP+EJaR1KY2MNEYsTT+JmJsaljKo5olNTYjzuiWgXF2fgsihrZQ5RHHxzrFO1RHR+l9qc1mC1ZBXXAAfbmMLJCJ6EAHgDMNghWJnMrMR+bHUVorm/d6CZ9yfdFLZnMjgKszh6j6cvwWp6VqLjKGaXn2a4HwCQ73Pmc4Xd0dju5+PFzlm0B+HaFvTIDf/wBbBjNfMT3YcNmVr7Q5i9wr7v2HayKsqos5K1uO3MRCafPiFNi+jqPqvW64PufmUkqhAF9WCKa5tdXfgTXJ34YKKsT6z4u9cj26WNxgnnGDpvH8P8qTZjL10I5Am5Xp3w8yCNI7sZo8asOJeC7UQ4s+LNQlUSvfN42gnPyim7+qnHPhYSQ5PPZ5pFUbMkOz/C2C3wByi65zsAl9XQs/SCq8drvoyrcM8UxMeqEkoQGw3pyY9rMxtG1HYmS1KtIiW8T2FmuiOTW2xvEHlX9cokiFcDrfFLrdN/+63eP378/vn8/vvn17vu+DOs8Y1KBSCoajDvkzZiUmRZn9UMKePRRoWNy3yhVfdDvExUkV3S8EO26mAOe77cNTOFcR3Wh27V9Ng/Xnm9E91IoM1cZqB7ohcxGC5zXV52XPHuPHRNa6qR4pKik/53DHQ9cTODabOrmYSnbAYEyXmqdhxh4848KVQ6bGOyMbd3vjX2BY0+eWO3Hm0BY/SFIZZ5waourP4Ym/vFzTq8qDalcQ34wrM+B6LZzTrhL4Flz05UQcrzxSXdJQOZIoj2hUdzCqnITDGZN0qQoQu99j1v6qiisyLBj9Cl1H8HrYRMoLueQLYs2mWoqgoHcnXgGqW8vCEV5O4qoqEsiq2JtGZ0Guqg7MwZM0Um0AH5fJPLTiIzWKl4+JXCNXSUq4GGNyypmPfwdbByfGTAxulOul4gomLLS+8nfcNo7gm291GiH7KVwj7ZU5XpNsgaT9NFTgyutTs/ReRBMzv9kAUpfKGAnL8QgNJ1vwJEkUHse3F7ksU2kV8i+qy9OGEywEKmiu+98ZtNydkmGyNY4+Jookz4Nb5Xo7nvvVByGMQNgukYLBBpXR4hg7HtySar2zOu9XUx4+rm84Ls58fy9ZOgp+dNW3owQXv5U5VB4HSzp/gyEycZC+CXqS4IjfxOtnmw5FCDmImvt3RFHOfth6GqthsCPcOipKrSBASEI91DnzjSDYJXgGaAuZjEa4RWz813DHYKygYoiR0JZxFiF6RI6GITZ8gk0tRV3j4cAElWKFz6TmIgXaUiSeqSZdyaXGtaV8UdnYr8v2e/21rXpMsLmYQSt0dZszDVFCNWNgDN87YidVYo0D5yFb/4+nL13M+MYdSwipwMbM2KZxpu9mBWTRTS54DbvKcwMAYCsxtNorv9JGZWy0jSyofmdZNTPtRHXU2etqLw4PZ/1GE1Xq8i5zB++AI4qO5baPYt9Pl6dX9+vj8a+q0c/SFuTh0D93f8y8/54/9Rt2fSpeprK6Xkt3Yl1YKtBiq5CGEcmjV2fLtyQ3YNqxmctwnQVd4+kGC0svxx3eNggIlUU0F2MvksGTtR0GVWdVUyOJjPoovQ4LC0HLbRTMKKIgfK2Qbvhx+lXW7QnB5gzqJcTfYj8684fQEJpjsfmrx6+2BUCkSbDq6gDfbiTlP8p//jH/dMwLcrctOJbHaehBDCFZ/YpiWGnv/GTnLfxv2dU7NyyCfhb69xZwoHoxl6hOe2VziDPPPVtaBubQjl3psNX89chQoXr2eu752xMVaR0a5hYIgxuOT35w6/0bN5Iflwyvj+MXIodvTKm0dgmO4cvaDXCbBcSGqIStG7+yq2pf3zg7iseAqPJhiOyKnZMcA+IiCW77BqLJCHRCNHzAusricAmlXxqeRFczcrCdsG+XS7ulz38HhYXYgil0AaqKPoCAgZdkyKQa/8KLuSBM3qbYFyRJ35DeLBtLMvT5FG1dZR4qFxsPPan5N91ffjGObtew8L/5uvMRlONZiQSawH+MUzSQAk1nz5jQe78uvpFWdf1WZ7F7pM9NehSo2AzzHNIf01ThwCK/eIE4OFpwImHFfI2I1OWh8qizssefvp+YjUQ17k4dhfdJ2G0PqUEkfAnFEwLL2vf/66f/x6v3/p95/3X//49SctXmnBCKGDPs0cEXlGo9WfCRbVVagVJXBKNcG6nuXS51QR53VehWLXwWF8biicOvp6nb+82HmCSHThcZEGv4xAAI4R0PUw1DaQaPw0NuYUMe/u0NjP19TjTtkmFjRmPhg4MOzuPjTCiRH50sAmqriisF1Vc2RmvgxqnXvU9kbBLDyxpxejYAP1YIysCnqIMgM22qBZpbmdqMLnGUbiUpjSsaShfAurg8gKYrEmBU/JjQdkjWTviuL8QbvfKH8fRhF9OUaAcqDBTk/3v/O0PG9nrvE2heTDmNhXcoGJ748yL3OY+lWhGoEc8T39GXvML2IRbpgdGw+E4ty1yMRrAolLfKesAx5XL5/G/a8pKFySIZJLEPA0FaXOOZ43vwtEle2m9nrPlNsxhQQ2ixAD9rjYo7FE+YNNo05AlXTZxHuToATDVbgT5SlWf2+nCGnzPmBVYSKUz2xGn1NGdVTPQep64vlTxv2CyR0GCzZbuDTleFpnjKgDDZd1ZfEteDQji/fzEXkpi06g07INFHAKZMv3cRfke80FH6TvEzPmUKUgTPlGC8+nBtuHuiE+p/pIYFItk+4UkeNZAqEPCb6KZpH66pOFs0ogu3tbgIIKVlH12InD7/KK4NwZCGDP8z6sMXBfb8npfmFjI5xcQGIL/fwVokn5zhQuL9+FGnmbSrbxL/OY4SpyNApv/bEabdAUh2xR7bJ8ZQOfDWRf1UFmmFVJWPkAciUHUnyEC7xwLPi51bDaeGRoGIioQhYCPoa8fT/FJPHnodh5MPOhniHylkByzhzgP9z/1//7x49/bPwGDzx8/8/555+/4rU+1eIHZU1JcOZYQ2FujulFZDMM1zkxDJQSVKVoGnNNV3UVa66bkwaFNUa5TtGv5od9yDlf7NfpwwO8DvDFqiohlnCcquxMjXJLM+/6vOfXz7lvfN7CbPfkgpaHvoK7W3Et46JMyaHFoLAommu63K5rJY7OwIHeXro0cOwXcvjlLoptP3ar2EE0UcnaxnyYU92hi2RCmKpI06VDNkOpoaKcqKq8ooHRNQSpdopKE+LBHcipROzkMrKDTWnf89qugWA4+Sd2LfhTj4c8Yw18Y6SVS3onpIUpGREK2lbDPkWY/X31ecEsIxvIqlA0IuViw4sMZFMJWZL7wVRF3L1/SYw70UnGqPMQdpCr4aUe02sf6beT7hHWouw7iijVvCZ/SfBI14ZwJ7NjMoZyYUXnlMzNiDKSBR2tBh1RrP3sfQwdmlRpYGdIOxpfAFL3Fn5GJbOfcbiaBAqtNLQIdzNHFHIfRcpcLvz5PZkZlbiqCoAwg2wpBNrrldi76uo+jtjurAx2Y0sCLEW8c4qsZKbu7rWzKl57N2/bwh5U+UJSC7hTDACUdbuc3E5IqGhW9TxVAKOWyZzxnH0AfZQ0i5QqVcagxyTgxwyRXziDCQHEvpJajRVIE9sW54hjyW+XaXRpmNKZg1qZvoxeyiNfX6wznwlIKtQtVNquyPkcVNfp6gph2EgJocovMmhSo9zYL6n8CUnc+/BDY/TGD9GnhtMxtkQbY6ILE7QBtV4r7poTKtZsxEbcpm11+BGA1XX8dfiX3/rnnb/8mvoX6q2587kaKzHcxcap7tbcfBa6NLra7obcdNTuqYFjsPkHgEKJhbkfnjMaiGz0xx+CU6/mKXjoo/ft10lMUslqtDRVXA30fPc4l2uGVc+7E9bFcFf8LZGurdOwDKLImOdMziPWENOf6Mrzk17CMGEMMBC7kJaZSdeJ3VxxZNEuoMBJbNmTX4QgNFnrqnBLlbUvDHDIdtv4VPJfypIDpT3WV6u44hF7UadejkZg1WwhM/HYHpScHiUg8dkdQkXEaQUu4Nrw3ZNG5QY8cBvY+qCOT+xBXvY62HeYG75JuHBAQO4GnmyV5Jty//G1VLEWwzYvcWrtOTA53kwpbTpx6GekrdFtIwlRkJIxw24RL4Is12xXHH1om3UyPVU98vOK0oPCrqf6zn4GgU60XyiPMR9I5tFURr3iB7+KHeszE2XLANIYvtnZQTB+6iqwRnb5ZU2fiEaCwiGTj5RGKj9JgQlKpck6vb3peQp4Dle9uX7BJoaJVQjywwOIavhjeTDDO8C9Qamu5MHn48vIxGNOSQZDbeZcCKtsnVkKvTlzO50GqEgsVsyYCq2ZH7zZhh2pMOOAzAHviRTYM5W1IBWemXiLcQ1G43gKLvwg+8ermSSFDh5TEFMgAQBtUVRVNClgNcZfxzILjdOyjhsmevLfcD5r8VQJrw0AD5dD16s8QN2Ku4C2OOoX5eZv1QIlWIeFycdXsHLIYqwjJLLfX0Vsevw4DSS0aarBoV5riNcSe4N7zLlY1sdFadmEQrxkgvj9khPUumaSffb8PH39LJ+kkqlXjlSMBT7rABDFylQmIwqxga3gvohmzy/NGzDwynSrvsGAWM0wPKcs8/N250SNfAS9yVAYurpXXw2YB/RRvRvozKi9r1qGv1PJ8WQRUjN+yxKv2hp2cYpHbWc4G2NjAKJnbRbbAPT1OtfAR1N97+gm/XZ0tWninyAV1s+Muay4qAUmLEl2svXz/5RRgPYQ0CcWXIGc0gETFVdJagnSnaF1II1n7RpSPUpyWXuFHQKuTowUcV7dZkFFNvis/TGkhcj4/rCG6+QM/ZTzGOsQi+ksO3CQ+loOfLWr6ZBNpAw33RUI/Gl2JjpHs49AQEQz0I8rjGgs+bEXoTazbVfNILEPmBBopR6kId7UGF7iY1toKANnmuloFRBdGPH8GUQWiTzXILvLKx9Kyie7kGLU8Kqyx+9kEnkMfHSZzT6ZvllWItFZxaweVFA7qRLJVQXjcODiCP5e4sFcBxOZW4JKd196dFPlrc3M2r9ymCglB0PD3U15nvc8//SudzsBgCrVrjzpVOqENmUqzTaXTUr9Ol8HVTx1vqpdZBBeFNs0I75hHpW4HtMFG8GAXGyuvizEJ0xr1p3zEN/YwSMFSXAkcpz0X1ZERLsgtYh+8IitTXjUissQkpA//maZ8rNo4dcCNlLIBjdePctAJHeBSUbR+2dYc4cAyHqEBIGarFI7qop4flxeWMxwDbnh5hJc7BoNCHCa5zMCp6tOoWuKrmK/0ucEAof+TFV5Hx8WX/lb9tWQU376gI9UuosI8MWJPsxEV2ynzMAfzqJp5Uoi64kbBRThpCUN2eih68fpr1ffl36c+fnG3Lkfv+fievKSUoxUq/wnLDaogziaDrAgwoqHYlPE9ruZRMuAhv2qJy4Vo484HX3668cXZlDDLrKtq2m9fAxp/hRNwbFXRcsIgbyKujcSkedc2dj9nC8YsDuiMF2zGuvzyzkCY7sXlqWrAspUKfr1NK4klS5v/hYhpGsi6MogcAitYaJvwtpUtPzBtS091k56QySxYEhKxFkxLwJeiSkQify+KGQ5QctB+JbszK/ujLcw6VJCFIOKNmLAkVM4ACPBx1jKw+W0sy9t1+FQsOYLI73NpHnKRqE3nKEEnsgo1DDcQCArEUcbvekKQ1c7lTsc3sISQLU8mZAEA2k+Tn4Lw/U0jeoIvGtpjOzYIe7yErOyqGfdiQ6WOZtPfCwdUkKTL9cRfStPO/Ju1xPxZ4yTIO0JlpXrgWNQE0YGQLNwqaNWJM9jwl0NT7IxG3UNcgjYz5UXa/8CTQQkVbFPsilOlex+NVFmfIBhvuhZxWhFBcBTpP3BvRjpM9Q1ajRt8TOyPNb7PfmOtNVMWXa8FFnvsueJLyfrNUKKNuH0PRb3YGYZiDzO1mIkJRKnzkYyBvrUMTgRwSuH1iAZWtw8nyKreMhuohKgBAqFrpR2F0EfWzu0VJ8VshCMGSAXZC6e2BQXK2OvkSbJy2msyQtkxsaf/5QlsPFFKoptg5555UpP/GFiar+mEowojO+3dOaVOsDgU3ZJs1kWWZZ8HKHNdiTGxgrA+mgVNQQ0UelYZE2xhBvhpQG3ayxebgxGcNKhG8RE7oNHfyBHr2Du1+1HQ3ZZtQBkRQ+xBKVVlSrXxgf+1/JfjJs2iqofVx8wH+wTznna/YW3fBbbSu4nyE2nWBe+EFV0VUSy8bSzSil3zJepaDgjRilbc9CTbvtGj96/CN72+dB8AxDLA7LKSS+OZ8D9+fC+8eutn3987rvuryuFkQN0MxhVOkkKLeiaSKOVKWqUYRo3wTnkqnmXuacyY5WF00XXqwA/9hOGLiTm3ild+zKjVMBExIY47dIL0KA7ZHOWfpbRXRVolUUgVT2R65PcOpnQ0BvIucIUJFUlFyR3As+78b0FWq4sxorzf//pzJaODTlXJVHruPf+5oHtgDThBFTxnlLD//pf/tHO6bH4eyWMjJaiH4MzuC2bgRymWr4Rj7rHEY3k0A/eF1lWbRNI/u38t7oW5gnty4gZPYW6HmpI+yqLwJO3Owl/zN1oGpKr8WTVOeRSXIh42pHD1QX1AGJnz6Bk7HwQdmeHWDu+qv1Vy0vrZ+mEVxaTZ28NEtgMeLqEDx8Ke1Hv4NfRwm8KCYjkUPetGztinoJqdPU5/HFeVQhKFsURUrREL4m7m4Q86EcYw+pA5NH7M+AUqgkNEx2Wsws7VewQGnoDhvrSvbICPKUAZT53eAQNxgJ+1rBPwP6wSMkuJIFyiDW6XKr813ZJ407A3Gde1mJpMsEBuRnTfn6V1CE/sGliHBMun4ewNkpD7m3/aNSYbHnQZgJd8OjqiBMBc6QXLZBfxcNmAwWP6/Dx90YkV8btvKDbTpExhKhbeAWZNBJ0D6hRN+bfx2j2HAK5uvOZk5k0A8xtdzddhfrexu8VCJ65933n2pIx/kgzCvUJ+DN+f0R/JgawNcciLyPMD6YeqZWTdsTqQheq2wjKvtOc1+hep3LLotnVbvY5qK5mo+pENNEA6vpT6NI+DtmBa8GlWzzY3zTIoq+m1ZPBezdajG3V9c1km0sbRajYlzj7gOUiIoCiA5bXFlAgYo4mU/+28SLeU+tblri6FCxi8DQ2qVizKIYTt6pCZ4tAC2ZticxEYRA9aXG3gHCIUjLqUmhYeTdsttMPKyRgPjqRnWczY0+MQk7NoDeCn/rzh2I7+RKhHWCgT0FFM55/JwYr87nyidM1m6rGONLzTI7xpwozlw4ksaRJfEyppuZPNcMer6goYEmyty2Fm50MeLm9yjfo3E0ReUrM2V25REDXQLU6LMzySkDkgjlLYzya7EZCFG1RnS66kQyzlT0xf0BeP0UbuVr1x53JnCKE/UhEeSVydLviXGIsrRzFdfs64JKxPKTPasfeHiq/yEqvSGUNC1M80vs9P+/c93gKDUnzmXs58J0VvM7RCrJio8eATR9BIJsrQo1nJUtHuQ7yoJEEauge3PLZrJbeuLmqejWwBFHvPQyF/7EBWykyeHrQbJmo6kzlfQBWxoyqNHhmVQg0FNI/+17g6kiwMswTk1w405wchxksY4xJxjsNH/A+aqIyQbrMJlXB6c7DCysdXEFsHIcfLR1HM2IbEXKHWdPiFifN9JSc5LEZ2JhRGDNxRpDyx2EgBWFpbEeziaQjOVYMTdA0u3xUN/ed/pz3V8JtGCxC6RYH9rFp0ukJ1V52XjF7FeCqydtOUJy/zI9z6q/Fv7r/An7ZbDZ/4iJPnuV9WrrBW+MVQwdKY6lIqUPFBhUMrQTysDO4xE60X/nsRgWEvNaAIYtxcxzRAM8hu15f9Sq6lWK/r0QvH3R3vKAcvD/4+cev90+//3hfHV9IQ0WKse9lXaOOfGmXD4ArG+Wr4DdjYVDP5ZrfT4FM7RCT4ROSZoJ52nVmUn3n0X1jLgz7EpqNSTSBWYHIyqh5gv602l1mV7RkXqqt3Oo879rROcWNxs3hHFEAbCdDLjAMsOPyAsn5d3PiL0UFK6mDi7/u2ZVR7xGsrw7bS/02tj/ce2M+eOV/+af/DKLBycJuL0WBlRlx5XjIcp+l3GuBCoaOZeER5ygc+MfD9GNW1K0r7gy8AzhjXeLIhtAdmWwrFYYjE7qL8n2ui4hY0DFDm8S2GmqKGMQ+ux9v8Jr08uy/+Zz3K3aK6zigRBApQZWITWeRyUOU7WjnVbiM+/zZj+ut6MmndbuYjT0vb1WU4CTRVbu0jdBZ7C9JEgnqqWYXf/RhGTkLUGmkeWwTQVG4X2TiwgwzfqadF5lfyHArD2KtcBL7QAX4DzpP70wI1CFG+Qaj1+S63PLBlTbAOSrnxVx8t2BGVhcW/Q0A35XMWGIy4O1Hw32ew2Y/W5YAckFJY0OBozx4/tSMstJ3rMV6gveiWLwYteLx0FV4Kqt6kfz9nSpPeLGwq+lpmjokKx3JeXfDDW96lcmS12MJfLPjXEVZbsCYFU1gUx7JrDN5EPk8IxHyXYD2JetmQnUk5GwDdZKXCBd80+qkSoLm1YbLfO6M/X7PaGZmpgzOVe4swGRfumC6hqqgll0g2UyoRfvRo+wzuzj30vDU6T7N031exarujRJhVbpNsWpCrLOObLBeqUbLspx0zjVgQd4WonzHnhE4vGPBij4Ye1eutyvrqh7zFIL8m0DaDHPHEvUAxc6vM/ETWAg4QdsTitI7QkYtfpZFft5yICVSzSd2gcYStArZQ5Ddj5DtiT/CCkvseKqZOpzwWcEJoIjnMp4Q2CCUvM75w5Y9XcYovbUb9ZWLKDB1Xo/FMsrLQz7nvffYj/IKq0JUTLAxaCryhv2dvUhQQIei/AF6lYBAULAAZMu8q7qqiy2iz6IEq1nIRFUFpAAwfCRN1vg5MXthT9JBwXfIBJyk+z3vRPeEagnavKY/PAhEcaQ1+5OBFQTxQ6B5hGtWLo1VkuahuWAleDXrZWB45TMro9tRBNWpQvql8Rzw1AZFkNQJOJqcT1Pi5z3/+vu8P59fH8mw5iZZKH9/XtPwptXhfjKNF/NaFhJBGqHBSqGUvTP48KmwL85+nqesT8e0d6L2Xk5uoO7q8V3knDWNukBtlMb3sp45CgopD5C9mH7JOvBsxQ8TuZ1YFYgg2ZhPqBiETFGchZkWsslZRGniyc/GEH2+FhytNP66I6RaUODk02JCljf0h7CGxlAzKbCRbVe0pvYsjK3x2frJVQ58xuRcAxoHjMSHbtBjjbShcJm4NMPgYQpcm87yhyeHeGviMstbKqGZe2fPh7wcsnuxOoR4fBqdiMrfmNGlA3QGX6Trntun+UK9jC+yQZSLv87wlWhw8Ufu1ibKeGtWusk9qdczQjutSlXma4H9DoiSKW4X+LJnZqLuhXFJj5oNzScJJfZasD2s82rii6e3T4FFJhf74zuU5/4aD2eyrFXaEJZervh4kxfb5EdCuywuQjElDiZB2U3s5By5ClW7QEQusFQHSTTwuSqVrjzQAJ+54EyO6If72VwXs2BFwIhXIQ/j69DwS53PF6JZvdoAGQljtcYdeVnmLYHIIw/keFttbhBaxATihdcfL1mUdoE9Q1jzz8k1m2Ug1qBsIAy1qEqDAyd6SRpoe8rkP/3TP2YOCNwaoZQzZH3/APB4V/q4eRih6Y5xkWEmSfF7X4CF2piB6mIuy1OJ4IJGk4iXm2Rq+0pq1OjCqcpOPEVYQy3N4FTSr9UPtTdKrcB8EVnjgZGwfVJeHmm3gFwQyaKKcywH9Worn2t8mctMs7DBSskjivYtHI3JdRU2OXRie3KxsczqneC/7+knAeKxum/4CMlT6KquZgxVtS2hSccoUL2qxZ07oo4lizWcB3iJi5uk2bmMyOUddkHL12pxkd7sOFj8N5OQsFgrsRXAIGKTzbKaERXZNicNQvnwGLQGBoTkYAGZ80O+pN7A+euetljkr0xuP82NyfKfkK3WtczBxMmwUDoRvxAzheM7uJhJe0B0xh1Ov5LcUnzuUjKC4y+WBJSK7AI7LWmszscC1bT+VNuW7S6GsEWUFUt02Chx88XBDXtIQhAW/MFG0lizSoH7+E9CpaFAq1l9MhscxIUzBibepY27k8eyPMId38/noubqc0fyzEjwYDhYuW4GZn+9DmF2l5wNVamYBnvqtgWUXMQFwQ7c8WXyxdNgctAOunjcOuFUFhdePQnq9cLp4u6RyqNVXPsvg1TtwGzPpkTdGSnhS+wqGYYaUWIbQFff/MNUDTLZhMFusoxhnjN8L+taqkl5ibCpLNh/SdtunDXr5NAgUYrYJetk/JM0yZsIPS5xwp00bCrhagGc9QDJdgAehmnFfRSf2lEoAOluwYHLgwnu8YHt1uhNgQ9b88SyQlWLwdqIfdJ/xlpz30sSVgHgVsI+ykA/2nJC7myj1hqKVeg16OQJtqMwrIlcLtRXI+ENpzuLdS0SFWFlhQHx1gAEH4thb2+6cJtwWRvjzP3uzFrBKtelcDbpdFwdVjjLvhcoyl8dvDW/+J7kGpfhuY/lYNP/s2o9jFAPo/zJoFRehRIIcjxeaUhI2XPnimzw64vnVDcpyPzcz+8/5/ffPz+v359fwCugzcdKGbb3uQDpQs2q+QjubA4ZOIULwSXW2ct2EKfMqWKxiTqk3NXnVDXK6D7B5vnQJPHCpXTTi7aCwDzrWT4vq8wplduFb1HCk0FlOCPd2okXf/Iim6tv2ffachzP4xBLRUpFQJ5APDkQRwykiBWO7dLHiNziaagY8FBV8lWoDMF+m/2wyrni8u3Tuqx+IkySQs6NDl0xsr3TxqN3+E691eY27aC1bnNK8mhcH2ksC9dlT4b42R5ZLkfH5UH6nLIwXlkKq8GKr24PHRjPW2YYJWRsZyi6vLF1S0dMWUmbcVaaY/7BN4v6wvmB+mr+JWH3pWUhY9gwYder/DEwnK5GsRtuspknKmr3KIJ9iiZmpnLflIece+n4W72SIqkTGcrOAFnuLnbTJjWb1qR7C6xev/MZ2ZoW3oFg1x9kDGGZbQ8GGzn4vMasoq5QB8sUZaMrISM5+Rh8Iw8XfGFpVJTn0rYHx/jAeI6y4J8cg50SenoHhgZOl1A/oArxaazoIVMSw4NmqyNWElF48L9Z+D7HfiQoeR1ioNxn8jnC8hDrMR0C+1dQaY0OJEVGgptpNYbcHLtVSCFyIQwSl0T6p//yjzHz5+F38uNGYGS22TEKGjaRRqX9SPX4rmxR2HC3XN8LCZmRs1ZVsQR/VQnWaEzNJ0GKij5CXtn2niv6yNFIEftXYQ1ZyPSbZNWuBojauFMu1Lr4O5EIhsyG+51G1xv1Dp5XdC/IlVHTeyh+S5ijmfueN7OjrpthtwSz2oWVhKKqdifP0Btn3qbE54RBgUibMQjXq1qlJD0CVOMZ1p9Qp8RBAVi5dnj40EkrfdkTWW3EDfBkdDIzQbz7WLsRdnY16HLrmdImMiEmOpYReSQ3cdmp3ZOAZx/V6tccLudZOrYXLovqEJWvzkbv1rYcF/fsI3zjo//MmtU2VSEbcsAT5uPLQP3c8QSfrzmLXwHdnX0pHhX+SawWMLVUNtlqFtmV1tPsULrVHW1kg4+cWQFYDZ8F/L0KiyVLvPhKLQERf0U47gB3GZTznO3S5lxO+WcS+LHf2zn5sprEWGn46Xp6YSLymrhRPXeAhmfAbcF8z8d33vPr3jvA5Hnyb9V1EtUDp1sJlmJPMH0uPjbSj7avFNFdbVTuBipRX2R9sUR276Raz3VGsulTxUI+qGrBdSqMUGoFloTK7Tpr6jLTghlr3aU6QX6HSu1KJSr/Ee+Fkc+6WZU7FmSjtpb3ka880pAMblkWlsTJkOirpwAvdCeWF3nEgQHlO9YRwpGlV/Cl+AzyNZqwh0kkUpKA6CiA/NjlCd2EM5gsYTjJkQFC5moLFEDuwlmoyC9WWJHHXs9qmd3bQHkj1AMaZ99eSFH7qLfT3LpCULjki6qSJh+YGJfaLVbIZD4sdYg4Pa+4NzbRX+eE4KvYlplrq2zzZEdC9X4ZBUqluqUMkiksuDCdaqC4pFJkiEWKUawxOstUYLIUT5qXG/MRmIewy41WG7y64/HFcjJ7AKPbMUnTlg8iysD3AoYrYIzumbkWLzX6YGZq7ggX4Kv6R3fR9dXFutc/37/++PX5fIjRJ+meMvZ+7MynQXvxaCnDWu/Kl5O+qiFLPKc3/myniw7P1o5qtw6L1US9pv1Ct3W7IUe4ZGW0sE2u29sD12TwJhSwxk/wmrzqndykUT+6UiQXt+u/08zFo9ra8dpJA+D4/bx8E+ZWXAH84gCxRCWyOteGFuyDn/sIyZMIHjRS0RhprQeRxysP1S4yzD/2PMZ7SMCu6nnsEci431OmtRk+znO7aoxIlkDk/UWlVvzjGUsjozS+d64FcxRgdwacCxVazw8kdK8nPaNFPvTqoSnVyikYWQZUrhuPMRCGoLsGczbj2NTkV7MB/PLEmkYKB/3qeqFAtTFx4uADHRfI6ki0h9UosoVGdxV5v/CD7FMg+ke5gSUKRwJECFdPoHq+uUX+GqXWgE1QR2v7WlE5a5yeg9fWxsuqWCGkuxSHqBy4QsTvMzdlMA2PF0WPXAHzxLQYSJmB0S3bFut6Mo5f+ON0BtjQjc9pYDyjMyheiSdtrQ0UceFtrwiR9DpF8OXAHd45XQSrobG2OWNnR2O91BXQC9bductebc+Occ+xGvW3sfRMdGNG1z6ba0EEaNz1H0yaHtasik4KgSNmGJCTnRhitSX+13/6x8i3n7+ae1hmIHvWEwC9weKRIWHHfu0mMUN9b6zPf8BUpNPwybMZpP6ThKO9UvOYJ+Nqf+G0KU28FC4Aw2iXY1VBuKXwOAFAHG1U/tVDmP27wAg2bXoceKO+j1V5MioEJMYyDRmhuRWae+qkApd73yYSwz61I0IB/eO0NwIPCYRbxGVvVixAvXRRSj0y7Xf+chY4SFiJvwVX14r2EeFJsX4LPkOzQVSA78UC87nWWYC7UknEx/IQ6oA7zIBRPBYe3jkIawwhqIg7t9nx2fQxzpks5WEhsEKY3ULzhK8l+xs+8iFuwsj9LM/P+L7GDIMtzaLl+206QfQQoWcfCFUdKGqpzsY+vhE3hcrf+IFFenLbVNum5ebJ41Kb6QgzVrmFuipsSiuhOhn2MYZ7JZY5waGqjsfeDKUTw9vCiKGxEz+Ix1Q52LeR/Pg50GGXMInLx9eXicwzlC/ynKwSowvQNWt7pbB+h4yAxKUO9PGVf70///Pffr5/zR0X1Z2MVIKsjmKDtDn22VyWMcPdjsVHNE7inA4CB7hpJmwV6H6R3tG56iwHqyLOYeRWxWKlRmHvfjZlHMiuImxJa9024dvGXEGcciQaj8XFRU8C1kMcOBQ0kbDc3egRQbw2w3f511Qo3OSsZb0BF+7cXuMoSiuj7I4KgMnE0+RxUZ5DLahN8wYSWks0bKw3sXD24M+GGjRmviOgF12mrE3rXaR/fBOhpAUO2OwCWMppRuUqYsqPdujFUmpAdXqa89YowX75SzhBW7iw4KfUJtRrHtg1lnt65mPY36GED26H/tubLGdGoWoMflWfQzRi7w7VzGf7F0DHXJvU04hu9kRI9g2IyMuWr+GzxsPgt3B1U8H2XSPKXU/7UVFkTYPD98eeuXMnZmlWcXabDDe/j/wu6gPDunZFeSxKM9czJeB971z9mvGkeMKHtaBOdY/k+8vHM6GpDZVy+np2ysdjNUKCslEpo1yHAyt7Nwiw6revF676FaV8pIgogxjimIOuQtE8fxHFNBlDI1biySYXxwgJtGB2gwfIzzac9XOVvty192F4udATH0wcehYV70iFhJVktI+q4uZEzrRhc/be0b8fWwhgY+nD/4adW12NQyVPpEmmnjREwqkdKUET0b3gAaPJBSana9wnFMhWOIySklVjpi8rW36mzxUW0CRw4V4Jf+UTfeQ8IMAZqy2hUO/34MBXcn0+Hs9IFiZHhR8iEYzlc+zXiXloZ6zJCyJOXcS9kvGZyNLkzshb63snYMoa2AdG7ZBV6q86FM/5QDYbUtOf5Ppf1ePmbZqqNrur6tdvvw761e0X6oVzql69spw7u6wBMq5SW5yfrMlbfODPaNYTsyRkLYrrqDAqzrWdDNNHXkXP/bNwcuBjAL4DJO1yPEavHXHvIT73X7Gg0kfqW9OQdMEZiTD9yYdcS9BUAmZ5qRfLpr1zwt7YZhMFFyswRlU30cUjxuwUs0rSHr9zzB+2GLCChjLqL4cdj+c8eTj8xgT1TGfAzqGZ59aKTnqFZsyLFvjbLq9SEGthRBimEL2bzJl/tZUtBv/p//hf+RBPzxJa1j6Egc0rOcCZgb0O4SWyQchjRwgTFDajliHO4Ylv+5n+YqdJslLVVgYFszNQqkQz5cImno+L8BC1f72YfzJ3Z2o+vbdBFiD4W3nHWgeDhEcY+2SWPEB/juAdWPM7Sy7mY1goL6OPqouktNG5AIsqbj7PKVanJhsj1wsJGl7CBfu35x7lBmAu6GJgteY8wOCZjQzkkJeeGSSggcly5cPv1fZXaL3YvTLSEpxZICdY29iNjDVLy2OMpowGKxlWkXF1LTS2OBqgDINYotVcwhffoJUTJhSd1JT1/O371AIVe0OkRgYKpYr8DHx448K3WBPswhXcKsB6gtnwyL5q5aL5IGv3n6U1yMdwQmO64tYB1pBROBUEN/SQE9SweMCD+eZRaKyZN+MyNlrXxobKZu94mAwelHsjdwDIPAm9lN20osSw19SQ7AnuZozFIW2fAA27ZWdYB4GC0o0HwqM0R1wh9S03/6FKJX1MWPf+/uvzx8/545dyHjYRiRGQ/vIlhaLmXYs9aRG4rtrzCJUpP1NeQezIWd18LYeU0M4qJnMGU31on1MAulBpzCC7KNxyhqYxRPY8tM7IHULi+qYTZzlQkymnSi8o8iDvIho/YJ91FmcFDeS9Ac1yzlULbm+nT272kMao3S17aQNmnVe2/VpKSlUcFBLHbt7cwqYnc/lmWiEQtsAnp0isb8FiksZtZX17NoFMBkiIlG4SPEPeoXK77k68gUfjLEcT7d8Ky+FCd+EmGAMx8PfgJqxBl1HRASXKNwYdIrkKya1A40QLACHuTFwRwoS5IDRoLBdpdtW746oXEl/8PRcDh9ynzE/ExENF088iBGxeawy1waisxPrQCGsH2/lqI0globSFNRlRvFItc0f4DD5v3/F42hRwgiiEA6nVExd75g30vRGnZ73YusKP8et+Pm/dK41tyYM56gpEmRCn56HRIFGnCE6ZHpD4mAiO1OTO5XDB8dd3sbvPwSkXwe5z6qSxbKfS9ki+s1gh0s9WQLvqfF+IWUIxY1aTD2sG7t6UI0cmahKYDTxgT87OxroTKSgxiDEEOKXsBqKYyF3P73sh90t9cw2ZlXOIL3WbFzTNcx31L5koJ24YJyLdYdsShEeB9lwq9BgnyaDpIh94reQlK6czlnTdzoHgya5HmJkXFd9ypvB8OxTRWKhHGc0iwkz+f4RS+/B+5x09au8ZD4hlBrz9eld3EA2ejfBrWal4LUjdJUsaYJTGiD2SakWyH0fJtKopc2RgmkGNDy1SbROHDQpdudDzaxbqSmJVCplpVLlcxwTddLN40MIPvrrRqJ5GoivhDKl8vkQTkA4BCegukiM3Ch6qlY0GKrUjqQVH1MxcUNLUgiIkJsp0hVhNYQQFZ6+euTm2A9OH3Z/KSTBXNihwMBD1+OW1gcyjfK8hdQRUX8wxsOrOYPGnKucvC+2q9H44dTjo4gLTWG52DWjISbGuw0TEOI1ziawITVIhqvg8UinQDrmZwTfhhkUgQYemq8qPh36H9o2lXCO+A0Q9KSvpmefqGGGwmC6M4n/9p/+NIHC9uXx4vkl1UMlNnN3F1NFuUd4AQ1qErrBi5Iwi/g7Q6tXqJQ1Ds+9YVNpjL1jNZ+NwRsq8qVrIE3ju3+xFD/JtdPqcsNOwnj39mWJSCO09Vh3O9MEVHjGO/3wd8uk4cWn1LTYhq4qdfyskPjIcRt+ERGtsPkOnNeNVkS+FoNpLKbm7TSmdnys3w6bxYOfidZ8HIJ81n1u++/Pnd9GuhmZurtDy3bt6xoHGZ6Zeot0u1YVX4TKuxBOpAauDThGQUnYrlGeqSDIymMgeMkE/Jon9rEgC2gEmH7HCzO4Pt/Qju3bXwu7veTCKyKZpOfvAfjU5ExTMB+vLyVvG/fINt9ZOHyY8uzCZg2Y81UdEe6gou1k+oJ6fB9X9zPtYH05u2iwMTHZRo1E5+LqWD9l3EYk63jwwJjGm0fBT+7CjRtsT3JKBHGGJWkN0PE9LtVWBbD/6UDs6rmpK7eTS61l1udOqUeSliNGAvjfFk+8rvN/31+DzectKuWYf5MbQw6FussojPN0wD7D2J3kEugRiMTHYXZiqL8LVaZauMuqkpQ5Ao3VY5DS7WThukyxxwlPFjU1AE/5wCTworUljlS4EJXrYdoGfqlPxkOVOylUEPLwdH6FZhtRNBC43ew3oItjgpC5y90jARGdfjxd3cWw/zdIuNzFe8srRIwzaIcaV5LEJvxU2bLVf2fJJ2GdT4kj8u7hkrvklSrHVHntd16bPire0F1DkCkpF4y7cQWcfyDxZaByjUQKubw7tgO7IOrt/GO0EAEX34cYX+8Y/ndUM7CuC13O8+GSMD4l8IM9QjX7qRnb9aLR7RXN7VgcZdZom88dnosxmjfVkk1xuMO2ztIVDTNLrGoGJM6oRUR2vltYXsj8z9z0f4XNl+V57Jk/5LLAWMVhZVA9VFuUJqVGsYCR39H5LV8MgrrMgiejiqX2h2Ll5kaLrplBMZyCJcco6niA7mGgUXqzX6a9X98Gp6lPJDKye043tGtzGWsrvuQtb18IPbcSCCKWKLHF1Hucei0gmc8bDNGPZ0lzdW1kUKGrjU2ox/7W5wwWOtWgdcxIt4JUZ8LkZQmSEwF+0blOxsVdIHsSpaTERFc/9lx9oiYq07GQssL0CzlnX+p7E5RnjSWJVCP6dq8hVEG9Za2oZ4ec9Yep5d4dEwVJiH61J6NMekCvC8jLiILay45Eb5jBAVmklp3Z2Hzc0pq4+spM+77BYxsRyJKMmrhZPbIsZ8VYSz+LCRHD48iw1Y0WE9wwgPgDcxLt4YgcCsR3mBchcU/me9rWL+nzdRm0g/TGLKNaxL/t1mlKDZRx2ueq85/Pqo4LLlQO6G7IV8VFOqEQKwKJLvh4Doj67gvpZJWLwVMaUiEW13zsFaVyES3eqSRmquamVIiZUEzUsy0Jyr6Ecnun32CEG5eX787mMD9HE88RGWVIlHx56WNVwT/ng7OoRkokrQUty6oRViXK6UREexbZbyQrdC32M0/CAlQOXO3cPvhM48Bz2/I5o+GaX8wQz71Y94Ldx12icmToseZ71nE7/9b/8426qSR7dCbtUScxKjgDiVDrDaa2RwgxI5AGAJ+iO37NaxnRXvuS0JucFLMuslFEsLPfs2ekdrzAMq7T27uI5Ja1ZlK7SQfPIrHdfR0YpPxBwrozIs/c+e3gcIFsVkE81AWG7vokgTxXUPKxIAMQ6caFKsxLo4GNlsCtJs+wNsTeLyr72ANbP27oIN0wcPgro5PLu5kl4MrpgyXB6S5bx5+73DTYvPWqStfcfN6xeZKyPgYGiVA8v9a1BCAIJTjl5xNnBMt7n28FSoWX4a+f5gHT9LQzC84ff75FLHkbrv0yv4T6bv+EHYa/a2FkaIka3Qbm/a5MqaQ3h84VJFVIEaU+pNgc7iPshqx8JZ/cCw9EnnRM4r2mhUF0nArzu1jjzXe6oiN+eqxJ2xo2nkmV/gbRi7QTlgORFA6+HqrIrfW0Z++J/CD0bYQro1Mf60bwusWcb3Wtn/OZXiiTbVEWOnjOnFjHwwgcQUpM59muuDEm492o81gUqfUMjff+ae4wIiU6LGASI2Sy0k3YLW6w/irAmUVPuqtYKy3gasuqc00nCEiJ/LTTPq8U6IYfb21DVkU1BhT4d8xIcbLyN28CMaiKpyeiWw1tLQ5mPjG991LntTOzPjsSS4XlkPVmYSVvk8appaai7E8+wyuQqkS2HftfuGglKjEQbuKvNhEfopXUxZsD6AK8OdKGNRqMf44C1T0irlunD3gQ7ZQZG6453Pw97lam271O9FWvwhM8pQAVolIJLCIf105cGUritcKlbw5D7MOdVkQJeLNcsVuHB9hcD48FT6L3LFkm3gEMLffLvJXWNBPoFjNlRAZIQlLzMeNG0psj1T9mHpUKNpyLYzO94OIWaKKKWjamzvq382KnUJGRfv3HvZz5v3NFNIcjFHc18QowHGYsNZC9XJlkhvj0TDOk67nt/qbp4PWSl3WQsNsvFk9MyiDQNNuzNdK7EBUZ7i3ZUUSJROPXi+cGvqledU6n4GU6xSmfoVxM8jbl1YFUBM6Htycxeq8JdDRlJj+QghLYz3XzzyBZA1fPEO4yFnxdij6O8TzErgAUQnIdaWHpkZXgF3NGCPItdYfvkFgIMKLbYa5BELN+V6Dwl08+Cu8oYo+xQKQ7fEJhlD4iMsxRUn3EeftrDPTS1F9rGs+U0SLedMudwtRdLej/q0lr50/6ixMoRAoEAKHTAWTzR56gDq8WbGwxmIiG8nzW48dMSbY34kefeIWzqs5mIAma0PIaiVXD4FKw/IaMdvWZ+rBKA37EpZEG1I4NOaserfBPQF48BMWhy/1AnDIVm/nkBp33bVZC7TgNvsEOZotFNHPAE8CW/Xu5NA69qCIPPHkNEtPs1LvRg38+I0mADk0f6bj5wVGlD9454ot+Shzyfz83PS7QHsK+mgC0ufka7yjWRXpmNmzb0na9GA4cU7ma4B5GVkVjwuFRMAKcKxgHYlYA8rGYa/y405gH987PlnlGZSBgagdRrcOeinA1r6csklRiR7GFPpuLw8VdYtxqaTV3Z/AATTGZVcO0nuDKTw+MT24FOKID/9E//mA81s6E2/ItXuyhhXdO5l4inqsubCKZloQ82SCcHQkQc+BP5FmIifSgCcono/b8oYFbfkHl8Qa1MnvSATGWL9jOpWrgkBGU+0I0gseRmI7GV/eQaPQs+dijLOC1D6edJCl8T8TK6XP7q7jrgFNrlJpctLlgVguswKxAMb1o/FvGLjmRV93tM5VLdNw5etLI6xEOGfuyKki8y0EsSdx8OdRWRXEijdpflA1xmgHi82QjGIoDr6DLSqoGAVYvmJNN3tyXsw0wTHteTgRJrMfZ72y/xUQx8LwyZhJ1sb2CBJdjdO5k/KxFTFDAbn0NzJJdroM1uYgn4zhyPONDKr7uQeTRQkdMGYavvjzcd1n/q2RRZCusWCg/yz11imcUzQWeg9rLabwdwAxdBGM83IJY9LctexFx+dGr7EZ3HZJBwyCW6up0wxqjOx6Z1vxPlBeQ8232JIB6FhCvr9aLyANnGpEgjCBjmoynPZ7W+wo4DM5bFJsSRpbkDb46pUEv6BxO3jH6g8VzQ+8rgCVVS+fBsCHNlzqlWvhLGYFYVtr0yCLL7Bi3tqm6nZzfKlnN4XudwTzODHoCe62LNlRKHVqUMN84wXd8TiYEKErZRH2FKUPAE2Q9uuWfuSrC6jmhKRI7hJZ+6ezaOf/8s+qXzLsd3JHkrNpfUVV7ZvVtyMW9qZF5vVs8KuZwBdqnW64A8XgknM9/0KtAaLQ60ZOOKh4J/5vvIZOdHgRHpuVdQbPB6lYUZntKjnMAlCKgeqJKVzhORTlU8M3L45KhxwNUzb64PN2iD6AcuoMl6uou8iyKPz16az60Eyxa6VhER5FT1Z1YXQpDlY2Gl5DrtRbF9o0oEzwkdCJgxK8L89bF/3bf98z26+gyuRtd39J4AXGE+HxgfgDncSCp8QziA5KE5DcSmRsaWE4VcPjGy0j2bJLfnodjvPg85gFIX4a6uPu6uV/WrXzxzLCQovU8HuEMhUj3kGkCAIbBH95GJpe4rORz5uEJ/WMBoGwm1dk2FrJlZ8n0ZtVlyMomD3KsMJttw4KT8Nvk60qMQmBv5AqdYKmmqitSs0bqejeEBsCDAdG/qFeVZ042w5262+H2x8GR3ZIvOxKpn+zYktTdBJ4KcPN7GnbXTey88RPuzS1B215WSPtLcP6XF2dmj2VDky1wiA9wXPzjAhozsbxXllx4pQ2yEjpaXRtE3kA2t26bG1vWMbpAbUdJ8Q4hC3tJxytNy0Du0ZbICKtN/UuwFtF0iq4afVyWfnfDQ/WTtdIjTQlcMT95Y1QdiKlodUDmmMEB8nVXWoFwvsqsKlcD4sqFE2ZnEscaNiiTS2MrUjRbRzg1GRJM5uDLZBDWn7jR6nIiA2AYCZsDRk1wAqBtPkx9SyrI4PY8Mhliq84nmVHTTne+ni0RJ5CkKxtkKY78ytq0/CE1CbdwqeP1TeRawPYX5eiEFSEzyyRLRSHTgkk45M7OrIem/6ZCsVduQoqgFq4JcaUc6r9BjF7lsEF3lZ55aKirLLhBBtjNR8J/+P/+LH6+NQfsm0mdG15lRuNZCJ4JHfB51cEfmfTg39OsbNra8SkKJmf4rb7Sekz8o8UbQ7U4eGwj/HNGfUDcs+v092iF+nFUYZwbMtmV7Z+ag2Q/rGH9t0LEnf6PahiE2S3WYAkUQVV2VSaWYcjOQ/b3EBXZd/N4FP0tjIR6B7BN4pI9B6PM/rMVTdy4HnlB8YGU/XsEYHEoJC9U8u3wEq431dIA5ydAgurjHQxJSIrsyABxs1iHqWSlDIkgFbtMuypuD/qwiBqpzeO2RiPixQqiQno32WGAT+bcywHY4XFSVKh8+5HKR1ikqcZb71GA9M3M5vJHwRjRPo7NfAPKQICuoaH7OwrZr4NEG2aZEdg6W7xemWEYdbKloxnLbqSjqMEHLlQbySjjeMB0g32BCxqpGZXD2KpILceIpAzzDsghdaYPQRujhUVJV+vW8eCFWe6HnPUu9TJADQYc1BqB62OZYtaUNu7+e+VCD8cR9atmBbQO85j2BwFIZKibKghjpfsa5goXJH167h5lQJun10q74uqrg6ariMYYJgsuqdzY7jK4BDKQ/oJhrNE+Wq6u7qrtLVTjnfJ1T7SbI6pL3OaV1M+tLwvAzWho0aPx8s1YJeXyAjFjOZW1yT0agkIiBvWRXJlcp52lq6WSrumst7UkibZUSzAEWZq8tL170BF7sDp69fGBWot9rlyNgURkmQ7BC2zP/q6DuFzn5edPWkC8hr38OxrI0tXqftOgtnq8l3glGyqK1eKrWm3DHmzqdpT+7K1a+ESFRSFAVOmqwqESeW8+JWUmgMleiR7K1xcNZtA739azi+m6WvR0UJUhJLNo/69uC8piQ4yplOFeXuwus9hDlgJaxV1DXtNtzP+PP3Ps27vwS79V7robjuW9dSW9V7AiVfvHpfVb5wUermwltkospc8tkvshNQuQoNDZpIVKgP0HGWmoStcO/X8X68kl1wmGTr66iv85rogJpHq7ejg9Dxe/9BJ3EAC5RsZKWC4GWcELvxkiUWzggZPhS4Rvs3FXRm8dveO0aGT7kYmcrzkllrlFVi8l5aa5nnUb4jYlSH+B2GmDfBC+3qny5vBIYrHBtHgC+ryDSdq9CN3lpS4YSWP9+jvpE5kucx+VIezWoz0aw5QbZ+pvJlWKurfID0HqYC/8BT9eLko8smO8DhkITQVHW7hEeziJ62PbTW6T6ViaI1ZiEaDD5LRMpEWcojYRrf97+JBONhnp0TWZbLUVuVH6QUgBGOf5K794C0Eze6pkzD8aWGBVzeaCgSJO5LF590DpGNWcQdiNCBPYwilaQky6YpKa/MjBzF8LMCTx+PxlPNH0I2cMy5dvs8VrvCZeCYgja0yw7853sTRlij+8ViZmdeqId3iJ5hxZyhah8Oismu0nGi4zqFSIxlrke8IsVBDgaFLBWp+ZqSGhQG/VAJvktzql//wzBa8HN82w8saUrONohKqqLnaa46lHs7bAiP6I3Qvr7wtoKkNnABW427HL+zvFoKfurFmP1n2QejV30wf/9f/9fAFflnbZGHwVow2g28Q3LXOT1XR3yNyXI1craRmhouogb5CDtvOvtytj8zLk7t+R22LKnyJGyqi16vtN2zoKUcCBXx95wa+hfSALPG/qo8jIKwlwZPDsGw4QShmesROW/WNhdTkyk8pHS81yYUQWhHAynqiMg2leo2VHdgQCS1w+vnUBJrPQk/CK/H5dDT7SNAVWdHRmwG04qT5iuID4U5Dfq+mDw+TOXhAK6M8jQnJRTAEVHM5cLIx+Qn4iebfnbpKCcCcs2LHP/SKgLUtA1LqK11EY9gfhcgd0zRZH7pZvsecjg/fYfMEuKoyqyCzs//61djaIveqraI8HYy+SJ5QEW9w+cm+ttGfyBwNQWajmUJlx18or4/8/V3y5J2t1GgqA78EQW1WMjqadXZK/ZrO39398036qMA/j+cD+R7KVkpMS3KjPi+TgA/AtV9yvVxYmFu+pLlPnmpzB5Fq1NtSekObojsEDugC17Wy+RTlriBaRfKA9zLIPFxgT7WWc/sbiuL7s+keVN9n7NzLTD2aDBAqxaFbmnBu+Zleq8h7TXvnYIZqJGDhIjFKt6GMbW3Pye1Ry9dzB4a+YtauwuRjRKokmdlBRWWZyFF5/BNr2b1geB7l5jJPGj2MlcMZU1O9yjt+bptv3xeZ7XU18vvJ76euppRxqoRB+9ECGudOYt9Wdkiojmnkyxb5iIvK7tNZwZ1XsAWeBc18dtcT3R0RKfbu7NKfyZfKwUgo9r3Cwlvwo+Ivz86P4S05Z7/MXtNxugvG4x9gv9iAWrOgJvn+bGS3K0uZ1AJnw7gcXSufRdJubIqBCXiSJWM0IF4rr5Gahm70kfAbSKNbbXSKN1zhLkSPA0k4ELzBSC0nqduRk3QzbuJdjxEjSwdMJFRV66BLehOyi6IKzH6Gw4yzebzo4DFzFRovgmdvb93u/vnZ0z2GGdfWPfM2c03qL93l06HKTkeNpk33iBSnQVC2VfihG14DZuq1d8+rEMNtMeK0k7QoAfZIJuEpgnKp6n+jRfz6tenTTdLnU/0lQXvFyWls6o1XpGU17KkvHNd9caFsI4gT2qt3S61kZWIB1nwEhZEF/CiFl+dtX2BRsnmfmAfnxMJyG/AZK6uOmaUV7eWmxcW3jKsQWmDp11sD5TNqnUZdkhslmzx7y/MuKWE5LwOo4ddSXao6hFu2U+2B1zxpTIXd7k6YF6cZ+xyBMW0SwFkMWmf4KBBJ9QFvlyV4ZDCw6/CgLrNtPvDS5Tq7x0NqAW9kQPl3JL2q3nzUg4hfImbIqzRZ5ZHeJ8a7KlWLMCcE56SkcVWcnlFl6f3SFUcqH4LvGtbRTxzDNpzUcqb6ehAvcJ9TBupbQV54FJBMNsm8Q7bs3N8Ea1eyVhWPAiY++otpiWMXdavPLy8Vbl3XwWX/sE1XKcaMaCl7vuQ85lX7j7joCrDS/vQdkRshtdptwBy2R/Cct99vF5B6KF5FO3YJE1UK1CPd0NPV1Al0YtzL+kba5dEq4IAWFpmCT4puizwRK89J8EsLukiu21KrFxmj2zAzIAPD7sh57rsr0jkPE/rijyYrWWs9sQDGeHWYNXgrdmZPglXbgDpYNuvP4//9//C75ky7NrutRbyVYKf7SpK1ojnebLjKZbL5iULm+GDv7hQhZbUVg/D8IMds48iz4+BC2392VKycJoHwblsZaut8aN/eAJriX2G8kCRiJB1U4rH3/xVdWznPYrYq1oqm4VUfZaOlKtEaglD4sTf+Q53nmoLGJa5WxTmYFVZ1cpJMW/IKXnug0cGXmqyokTue13oAOd3Uomz9ipSn5FEF+MuSCLMFSTK/UBg/0Z7hxOyvXJ6IewfugYMMIUtRfQVBpLBzdcviMIHMCEcnhGRQ3lLTMuD+yILOWlkxniI99Rl5CJy8OKCrhklgleSIIhavBtb7J4IffbpFAkbyat486tHlmf5k5j/0mxzSxpGtsDT+KcW4Wm40RgXLQwXJ8U40LrFVAL1tTHTmONnjRl/RUXcepScNLN7vQdUdL+lYSnYpK2hwQEdre7H1ttuxdDAit2GYnXqEBHKm2F6ZcZqs+os1hppJ0zyyE5uynWRbTV8ijaC1EhoT6DK4uOrtKsrSwyWvMefb//nKNz5ns8eGFhjd0P0bU8Xh/ZRDVKNc5UIr0MBGVIrAmxW9ysXMU5791jBA+DYs+LX2Q9X/i3X3i9nl8P2M/LcHupvPq6nXC2JbtI4X2xoZhZyaq9+hPrGiJFAHe9SJZMgHKCi623zem7TJ8AJFzLPJyFRCFmj8BHNRHoEdo2lq1PrA1kUWyO0P15KlJzDVUgQyAzq8kjjcFCK2M4EI0MuDmWYCyqLkhzoArZimTPAJuMR3l1pmo52J+i4MWf4fBtxTDNa27gBjXwFivPDwy5nTTs/w20CeIEa4bXS1uqCi0vmEuh6NJeWcKndX6qzdw8SfYK2Z+XOS2ICjNa4pFvFg70/Xv+OrO7szuDBnH2m9R7z+o9+D5vQecsdp/HGtaqzsJhcRt1MAZtglj5jrmRdrk3EaErILViqC6HAtE6ngKBqi56Wa9Yz9Pkg5f69asfqB/YSlS2dpfydJDhURxiteiq8Q3gMtCpTyeJtXuVVXuER/jfNBaWVOwlZQAdYXadEB4WPWKctbPB6bmB3SBDjzvlmHQfwLhb0QnuUjwG/TfC2HtYGh6kvL8JgpAoUIwfbXMY+mR6oJGdGNqugjjCQw6mIkySKeA5cyRohUeJ0Rfb7z7yGeS2BkDRrDM+3IV12q74PuLXr92Wu1I6qwBTAtmLvRER2TEcSC8/EVisq4WvrWzivSfC011QPzWStV2Ls6TGj9eOsMMjzB448OHMss/ErpVluXRW0AGE7dV4CHPdPJ5cHGv5GD/tudbKQInc43xj0/m7+9QDHWaohSgWaqpeq7McsB7aolSqrXLu/7ZaHBYn23IMId/4G8FJPE8lODacFHt3LdhBYQrcLT6yq9zTjPC+ntYPP7oSpguDy2jl98HPsDH29sbY5nLJmyCGoJBqoLP0TKzXI3h/rmWcFnPtxvC1IAPNi6UZ64eBZK4xFSPNMTK/eKZ1wKsDD+2+DaSxKyU9BpmQP6zO2kp9GWm15fKf3t+lGJQ/AboayVBHI7XeGgEYjpYSbf5//9//3a/Mrpba4yCogO9Z/L0DwKKV4WZbrANZLgjoMFxrnvzFlX9b2vULqqac/YAglmFDSpK7QVMWHhFytt5ZhvCRiGJpZ4u8YhtfrYqFwREb1/EARM9HlNOuqkA5gHD7KQDsfkqOjCsv88xvIqz5UGwkTHmo5o0B0tXIB/2ZbAsQFe04oZrKQWAs0Lhh0w8Y778ZKcQ9mUkz+3ZTLoRM+dUdv0LgRE2E/ZFV0axPxAT50bfGj2tMHq76wDP3ttxK5067MqKZFCxd6PmDKeL2Bh8+34FBjoNN2+MBD6wapm67Ypj4QVQHMqF580+znoEVUPR2cI1xIqWfeT6kEUm5cSh5lzZvTbKk8QOdd6j+zbVpb8CSVZ9ewMTWdRfk0K4qqcGJZM1QjgLCq5qY9DPyNyhwvV63hLlsNuDcBSbeah16jcx8JVbXx+Jh6HAiICZga7nTrRf1lEFdYHaM5mrP1jPH7GGaT2P04tg8CQyw5AMvzOxyWJug5rLErhcanm24mhrtGf15n79+v//6fSwEhsPEbd/HGuoA6Bx0x6FX0g3AFln1gIFQYqV62hkWNTtafX8nPO9BC6qHry+8+ulGN1/95X017ODlJJvwAjc+OnsR70XwkO2lxNVUmWasDWfJmuOYzuJyecz6u/g7yzEYqimncHAuHyaJfWUljFd6iA7tawK9mgRieC38+RfWy096wUJ/Xw8zqsxocNKTXJrRR0T42DzCRReSsogDt7QZVwgWw00LFpB2d1uuKPaF4K44Qkgwmsi0kBNCtQXhhV5IWrZ2q5YCHKu1aZ6iSwE+IC9ZYjlloBqF1kOVVY8kjEiCqu16UjUtZgRYiZ4rj7g4rhcFbs2K89Y4HuZ4hRz+zFlxDrQaUF7UNPsu8dT53uGeNeO52Hoa1dTtVh1xiHE8LH27VoL/M8De7LqYODRz4eCaA/aPbqdKKn4VyOfrq5/LYNhBWeUQ3n4RaBXBun5AH3X8eL26tEMLTfVlDQ6lVfFxG8orCDMYIBvWjPkRP/s9rVETwlI7QD5DZjjLhPK5Ayhglx3JjR0Oe66hiqtpi2LM91eQdZLJPSUusWBuAAZOrVRfmMVkAkY892D8MkRNViFikL/ilT9LEqN11tOcOZ66Ns60FRh+m0nfDwYnyZtNbsVzWoZndGZW9ydnQdfqfxA8dYGA/peESRAvQ/Q51zk/pvwpF5sdHasitxpdVWviVbToQxy/jxoAM7tW6sNuRYF4z7J6ZoKb+eXLPAPr8a7Ik2D2zmQq4UWLfmpMjXYTNSQPTdMuMx+VVXIiIa4zq5rwsvOCCE/ocxzGK8efmKG874LyMQJ3GJNtAUnI8vMxGkCtxyVzCz27eDkpq9K1+EUNN3RZjfXhDTgvoP32oBpe4skCHxrDtJCgGvRWZIf5d4n2N17kFOPrNqInxrzvCS8wp2pZYFrylAj4j8gM3RI9ylo0QVDSY/1yJFN1vAQd7dbFiHZZOweYHb3Pq8Ualu5qQyPrsmy3hFQxaZtpu5WkfKux+D//3/9p4bKHHXnD+nB1lRIeBKz29LKZDyFIQdVWlnzavmzc3Kj3YNiat1vKk0BT2gZkIRV3/SArIke/V7SO2xM5fcISYeljAlYUCZXyZQ1NKMa0L0zxE9f7itT1KhbUVd5h1LxSU6M9RrIsrKygxy7bs3iKCzz8MEJbbKzMzhoCM6JgEsDQSbEk7qIa/ETw2LbsYLDiQ5zRR8bie3CvpAO5d+1rRhJxtPXQUJHzcu/kKIPtdcW6voY5rngZpY9qNXAJ8izZKpVae6Va9oFYoUh5/YaELmiTvqmwPsUouyDrPhzTYPoh5XLuhGZTxhDlg8HDvc2b2bvyYQzLhYYx0odkxkdnJMj7gyOwrmY8U7gWGnqxQnllQ7uUJsMB2BSeu0gqCwCAugsoPKYXCjuD8uqxTxY9lHngc2193lpnqbR+PsdGXpNiGK57EixrZU/4LEtwC8n0tTTcohaz8YQ0M/JomR0mKO44NqaBZZQB9gZajN/Y9cHoOi8b5ipLr62NrqLzJlcqge/zfn+f//X7+/v7zBvv42UZ5SQ2Yx8NosW+JqRtcO9SathqVw7YqOr+qM41a2+J9wiVJfldfjW7u/plesHyE9aqqJlm7+vpV3f1PK+XRkBNTXkMX7DyXCqhhq6Bwu5hzRjvSxiAg/zLAZ9RDXt+S25OsGwekxvXB6lqaLL1MqyTUkuMK69HAwnQw/bpT6LoOKfc/nVTVPLymjzjJb9ftuIa7uCdC7DigxQOQy8WCCRY1v0zZweSFqsti+6AO3WbnF8rlC3LwIMLVFwGSWVtA7DQc7TFaPfdT0UbijTMzJmiyroSPSXgeT2oioi5XgaAnLMAeotzKFBfzMrVNFV4dpdTep/R0dsT9RGoeevorEpbwH7PnLO77qUYwZJVFUZxCMejFpPt0qnPDWw7qnbtNkcB8g4QXDG1qSYRUwdvOK6E7Aap7urn+Sr163nZA8H0vuUu91GEICo2sr69Ik9emS45VqlVa1mVcRRU7izYI/ByOVYriaw1B82VZdW6+heFXA61VRki4fUbfiKSyiyCZveTBoLJjkQFN8lgbOwNCe6zRGu1IRHdvBEyweCdTwQYhvPzi+8c0OJJuKp2JO9C2yDW/h2JhQAmiKobh74nbLhjat521FueB6QeELtrs465s754nFHD+94Z0+dNxS0DvndrM23K/QzeFsRTaRZZcNqg39GVUHtXWrLRjm7mUj3YKGQlLKjZk0Mp9/NKMqTB0bgfpyl4HaHGY85CsX1jN5jaiWRxySCLPiickWRoY+H9YyYujs2Qg8GaFSaBG8W4xj8nN/8BT3nj7eVZBJpYWqJLmBbk7Cej6bf0hPlEtTQ0RgIvhgLLnUobQHRYogbgcCGVo/4p9yHoe4o200o0QBUtPbAQC7j4gxDKEYNtVfNZbnueqsJgLP0SJid3jD+zwyC4uz5AUy7WG74DbRowlRZe71efDBPaWBRYNA50QycrNsdtjmHm6DZzsF6olnfcyOxhkFkZuR5olNqSCI7ruYP4j//5H5dgvsK1C2dcjfcArY8fQ1muyLwYHb9Byd+0AvY6TTtDDH6Q5c9bwNtrR1vhqGzbdc3WF7Goz7bEKMtdXqx4Wcu4PLD50TZs29sL3UCe3aLjYri1xbZSrXoLZRdZP8VLhiGxZcBeP5c8TN2o67AzvOMoBD4uVEmyvCOgIStuudTA1h1kBbAPKQ9kACnGa6aFqqrX+ca12DbbVbBSwMAx7rzk1rdzxo7x5I0jFg+y6Xjuih4/JM/NW/LDUizrffNLUmMM11isdZVkvsXuG26aqKO/k8jzLxsSi1ZL5EqVTT5WOSD9yobJz7Tm30zwXHwFudzlXxBE1ZO/59SQ1H4BArv4n1fOXFdMgT97SPtqG6RrfciRccdlfOwKRSzNxhg1tXvcfiFnWWZUxSUUMoLl4qXprMVNYIs/05Ogf2VwIy1EW1mvl7S4QrnRSTXF+AgXsTO+J2vM1PJxeQqfxXMx6mpB6VJ1RfU5ka7ZyJL9xc+QVZVp6DEjh7PgfOuv7/3z+88//7y/dyzzCsxEAINqr6fiVtfdLuS766e5PKpTxFM6QLNLqCcOHV/iCkJTkLq6iO5HyXqp1XmPqtF4fj389Yuv1/O87J4BwFaExnAwmPCw10/LzIIrzmB2DpdHEo6jJ0DCniw8ijVSeZnI5dRp0yVIR0D36b3cO/LRGoGUHVuWStpVdcBkR4/Ww5Ij3O39t7ivdY9OYQvay6EGqKqQg/205I2hznl0+OXHkgpktlUBR8OxqJcfhYd8gG6IVFuVhUEDE/eukRFDw6axCLgO6+I6rFR84TTj/QAFtpcZPc8C6n4eEw1ZXYKh2pGlCEwcK4ZfwKFFW3/O+/vPvA++9+xgJyFvpixHcloIBqp6v4/JK4rfOuWl9SIaIz40B+kDqjHLrqqF34U7szr/xcg0essvsklLy5QHAP7s+6nXq1VPN/Q8Tz18quvhq9JkVPNYSyuh9VRVqKQczX7d+GFf2olzoIqvYahyFFsc2S/FO4Lih5rNAiB6TPFcEJzEmpe1LNR/x0QTle22+jgacAVBF0Vs7hzlaPER6QCkXB5e0yOSb7NWyUA3+mBCEy1GSzHJPJFo3gnCyB6XV7xjrgBP1WB3kWAMj9ZGR6KwdSHwCZz/Kyr/gR5qZ9dSnLg6rtEhB7hPiwoIvB9FR6SSe89kmA2qsWxslW2dXJabzwnc479J+LFhNnrI1hqLCyQCR0rewror81/TyCFjSxTOIq5QT3WrjQ979v41kbLBCoke07qRJTPKpX88wcMtSZF1nbkAFhJNraka146aJcNwieidVYEFbLuAYpUICaJshhFVuie6QVxcWFgQEdUxLB62GO6ji/AIUOqpjKe3bIuO8NcP9yiKzXpQzglo0bv64HApbLm6TAqVh2MLz4r2S3hRU2224loy0cljsfFCPTz/0mgMHGaCMkzth6TSKxkivTIhZqNWWpKYEfihFzMzxctqIDkPtWGBwCPpq1ZoaFBF0yn0QVuAo7lcZtItRbCw4j/+/u8b+QXocH4/C8mMuWA8TG9Efo4gss4lcsTL7lXClOViuAolRCgh+zvCfTPfOt/bACN80KRfKvcO8FOcSVr02VQx5/n0CpxncqZsFnAKPGiyNKbhXqIrASVk6fEW6Wp4/gChcfiJYYGUUHrjbm4kGswxEZUvm1ztg3KXDKOxP+rRS4lamKOCPWvvBW87msShLCZhqr6tpYjAZ3d0QyZzHNmwZSVyVX2aUE8B1JPJ0Yko3qVLtT4cS1odAs5MjTce66pEXnQ/B3FdT4H7X5cJ48c3F6SYtytuGH8jEKNFF/HRLCGc8w4rv2yrArG4LIu8a9FxRaryA+3fMdjy2eq1456jLyF3JRRg5HakV6OURf5ekAgYV5eHO6y7nQ1EcJvatdzfTxZBn4X14KM2Ij4Z2xhMIr83qVN2lVSJdyOxZwNqsb3lKGJHdFjXbr4zrhHcHxPWuSBRonMHPBB+Mt3oME8L/T2btRkKO0AizgDgpsJEW1Vhx+C6JKnrQcJYKjNcLdCtogC+8c/v91/f379/f//+c3Q0IBjfXiWgdCj8i0NEILkcp0lOgtRBGy9UTxH1/HpqUC30Fh8s57zF6mqTj0Wo+IAjmbz4evHrVb9+9dfDr+ern9juPT4FVyKMik+Gw9odY8PfW3ve/t4zBstQT54KitVuNTxCP+Q3ENi4nuqUfy9HUhfOz14PyoT0Pbbch70aELs0rF8kSCto95Ds1dDqE90O5INLujLANjLIT/593y06Xywm56B5Yf6Lu1nDgk4MkUYdN0mmlPaeQxBCIWHhjgAUtMvGDkpC2bloFoJO7+t6VGOxtU/WlAg6wlnV1QwCB26hFnN5RAFe4t5OLjq7O/X93nPO//qe79/7Pef7+7eW5nAf63ZICafA8aO+B4aGd1Tk2ZM3+ra2vjg+7M3bw2aAUi2GV24QONkvJqOFgLAOCKMgPcXneZ5Xv7q6YV0xdpcqiqhGoyYyfX2h/rC6l3yM/1loqIc9Sr4Ny/10N+Bn2edmSJ6lpBHPuGgvGN+eQZArsXSyK3CP+4W8esqZkOnJeL+pn4EJfmEKwJGq/tWx1LhNSx+9HweUot+XIXaq5QR/ajaOpCghIlBLw+q+iRmzHSLRWJA7UrPWEoJx3ZskwPmVCGSS7GWP6ZamWjO0A7ltvA7F7EmIRi2Za2axoWCxwSpjSRTwpHUO25BKiahKt8zVB/G7YircXo38yDKRnSf+kyjw7GGVRvVgc0IDSvewQdNFLNSC1kjvGiC7cgvWnG/VY5YrcUDwpryEgyRmgz3HBmMMVlsTcYi7HL9NC5lGnQUKbTP1xd0sKZarZcJClHcpKgMBC1W5t0pOaRcW246o6I+ziBBR7bRaVRW21s0al3yWrPwuouI/s40RGPAhF096UNI+tBCegmOvB3hRbwNK1qfU7pbEh9TVpwbChyM4o55IaMq/zLcK4H7vdhodLRrImpXPIBoayToNc2PujwHcaF2YpQE9bB+BKBQ4kENCww65/wTg1F04s3MuoqwMEUw4SBB8BCcoQvyvf/x7xim30W6or6g791iswvEwmlzqxNfk9DYPl1Z8nVjxmaADy2ZRCDf6Dk8cH1VemjkVEvUSlUMoTX/oDORxGvgN9f2I7igwcZTwusC/cbwqgi9x6+mPIDk8B9NyBkEwHLrB7iC3Q9BtUHmlL3FVGGAAnP8lgsYXE6nin+sI2ZhBREpb6mGgCqqUkhG+ZBkpSrFWK3gxVigrwzh+7uvwtMh6pK0CK25kaQpecmVih59UYseS2C4/ny9knBXhbwFbrfd2iUaW/RXW5lHII4TutbugUN4YbBxflpAe0J46RPoSIEhP+d0JFEPPPkkzIsN3+JZvZ8W0j31fqmtzY44Dgog/nOXMl/tUFlAPsdpmG4/IrO35cX1cZ4+iY3krsJKHJlfB5A5B6+c714C6TnUmNo4hYNpAD5khq7NT2+jw9urE9+nZr8p5Np5LkQ+r26o7Z+HWUUprtZJI3CyLtmqO3vrc17KC9RPofF4J6vIUyQhaHQfh080XNuMDimAXtxiostjfb5z3/D9//fOff53zvd/nDFnaYo8llx6yRygHKHJGU2OVg05YM4DNndqX+nlVs9jkAwiN19G5wZ2t2maReqHGeAL5VL9+1Vfz9eKrnv/2f1TXkwEIp/CYfjFcDS2xs6kQM3qj5nwbl/zelTrFlRLY6h8dLknYpdKfeEbLpOlA11VQCaMJhjS97eIeTxyxyPYqBPTPObSzxHrllHkHGZ1B5oe5h3Fhxde0npWyDYWRrwBaWagnKZr7iYmf2SckOf0hYgliMvRa9G4BySHv3XMOi88TVJXF07yFzEi5aD8EV3dhUNl0XsUyv6pmBf3wumB04607/eKKes9qd77f+n3mz1/7+8/3n7Nv4f3XOXvs/OcDWDyBxwueWZttEzEQJaVnjLCOVOsn2tM6ajlCP8TCBwO7yutCvas83TLkIoyNDNW3aF/ir7+9nq/nReqpIokB4O13HsmhTb1TiXrVsPrp4mCzk5rX80Xsst1XJeuST9XyUsGIs1P71kCPdsePduaZHINpq+VoxUvBATK/c3uUDcvNIPA2ZJLIKscfoQkvu0v/XtB6zuqL/9pv6IQog7UWviSfMwsIDDD4BAsU4o8BXJrCKwfr82y5G06x1+bPp0eP/bnkUDnQhFa6M7MoVkQv29KOQDMtz0BrkLFoQIgBflLJ0mDHN/NBbXP2O3HYk8AFpFUsRaUEIciYRG9/M3yd7fNdeCsx2Vrd9Zlu3UQhsdpcq2ZrB431TUpC692SQJvexCHqpjMp1cdXHe2RjQLPvGc00ixAHB1u2/2ZsdQAAAXU7FbLspJFFC5AJOLujiwAriAel3u/l0Uq4DSf6eVceQjhwE4gxLBj4hImAlbVqlor2ychxl2v9YO7CXZrZFOIHniyGVGzuNCgoYpgrFdY7+qZZ2YzBiwqiTsuy58RmAsbgtx/BtUW0fNpjNOKWLLidmBhat3yMJhoCDrnY1KA7lmxdd8kt3yy8Q4AMSbWdMOcQWnterjTlDtasoyQ4s69xjWxxX/8/T8c9oJYRCQIW3WT280+ZiipYh6nxzuK/VzfZihYdaC8j4aOeZWuwuJCQZLVNlexISjK2ZxViPg7X0hIe8K90HtQ0KgjDM20z+eTYE44QYJOdaxeqZ8Lk9sPgahogqxNZnVJNwx2Yj4vm/083zgY+8bmkKB22ffZ4Z19/BiBVKllM2LypH3J1v9BqvhARuAnuy491PjaKU+vQRRYlZK+FDAH6iwiNyz2tTDFwF00C6Ajw7cAshztqUUXtlReKVu1Hg25UFnL7Yjtiz8q7+FHXIAsfYC8qPY6uhZZFuCSJfdNd2OUG3076hMb5XXn+qjfjHhdQSVvKTKUXd417I5u3QKZovJ+D3eVodtYVJVDCD3bHjhlHonBswqX0fcShsrwYW48LWpJx+MDAcN0GbqP+ayzusouEqP/WLCdBMuq2zhRWha3FmOC3L4Ch2Upv6Pyrrn7Z9wxALUHcGq2TQy+Pay4dkjGZOlN2PgM5n6kMbvornVvaqGs20zBHIF2rMvJ6VURLpB3EubjxTd//ry/f88/f3//fp/dmbMAh14ZvmI5xs8N2PsuqqskwRAGkNwTo7vBAjtW28Hao10lYZ967uIZ2NZRr+pX/XpYwFOv59d+Pb+q8HhQAdpr7bHsZ2Z8AwXu7Hnj9+68zaVwtO+jjwdHme40G+iLCOPKD39RLFnQPdVdLO2qDVehr4nlk6CwWlQ9zVdtd3/6Q2+yFDmzF+NXYmEpqJ0aURHkhLSFYzrai8l8SW3BvAwYVlmnAaHT0QCUjgX9+Zqx6IefDz8siCu02T+Gc3S6aew2utScjy1LoZjsNM8xcZvhSg1B9p29ycbCNPksi++jld67eJ/fR//81p9/nn/+OW+N3uMA260WrEVO+oLlasV6OlyoszPK6yT3QpxG5uDkyXukWERgfjk9SXnuDmltiMyUI7sK9RDiU2D11696qsr7VP1cwrIYRqvpH2oMsOrptbOhCeFZqC5H02yLN5iYYHCAx/GPquqJWFKzOXWPoOIeq/qjzYxg1C5aUxGrY9V9xCYuHPYkiB7OtcQllP34Kpi2b5oRqljUk9Qi+JznAkkVauDgqjYshHf/rgU5AicK6WJQxwpg6fHRvY2Qpjz2g+sZzOkevtwY2429whVNA1rVaH1EjCiO4aNQUoNlba+zKQ2QGCrlAv3pA+g3SlEl+J1Ib3wvDQQmud1XLK9LWjEAKh9iaTn8B7u48p7uGCFXWzZSplutxXj53cJeT/o9JnY/7tqRihfYzufxgCZ4AHAUkwsTiBrp7BDAYOGtMRzsinMSAz8SCmONDq4n0EtZAGNgugKQSFQpqllscAq++7X0YhUOYto01oCqO1gWqF6XQM/XlrQ/XgJb7ckbi3oqcWYkQbIw66p/PZ+Wt+zucyySsw4F993M00zZGWW9CEs4LtqrBr0mJ8NtsUJV2ebnq8hSmms4jIfV8mToxt1VLdjyRXwvcevtn9Y2bCqS8hFphxHJaKR8ePrP+LTV9XjC5J3VEgao/V/WajOwAhynVo/493/8u9E9ONSA913HQl3tBCkbew1zKcykW0zaK+xAPN6rGQ3I/mwfyN//l9L5M9RkuL4lTFcYncgwa937X/plQ9emRcrHcS2mi5lqLWF2i9RVP5E39GxYn7SzuDDsYUBV7e64Y1eAiuz1hQePXGPPGwLLe4U7C4rN4cuOEQo3F9INnnP5BOn+djVqzOYFzfc5d8kPP9plDxWTkgWts0Y3YUK+gJcNtWzQYIOwd98pf66tqW0E1w18Yjy5FjHF4vqZUd3AmImImo8DNaJNW25t4G/rERwhF0TCwQK8a8lwMeiJYWPd3ZnbJUHLoxwA9FNyfAxAd5KAEa6CwFswINlRdJsBE8D+kkbyALCeZuy3/6IlM9uCoP7YQp3PiyirvHTdtyYa3gEAIpMr+gm9gNUaJtGIwH5C7AslL0QLPEefCVX04W0BvhyQ6UzOUNMBkCDbYwu1O9KJq14Xq7KemCCFu87L6+Gw632qFmuGz49TpipYRia1XQhlW2hbu26pdZXauQkqPIkw68m32uX7+/x+n+/v836/Z1Xq0fnz1g7OzntXO/I8vPt04QobfS504ank+nSKQI4O+v2w5ZgqNrxiwFq6KgfPN/n0857v54UXX+x6VbH5t6/n9eB5vlBsslr3O+/5s9+t799vvfW9MhA+4x7kIPmGbjplpji3+Bo40DkR+ejpblZUU7OkCr2IOh2WFDa56Fc/VHf5HKsIqQnUmeO7weA32C4sqndvjxOKVgKqHAicU02Iiy4znC7uZNwD2msWo6Add2C7VG8ae7PcH2aYq65LDWdJLwRO/ju3t5tBPmdmjtafRjs2IXdwtbsLJxpXPadZdtqvMG8d4Pt73+f7z+/zv77nvPH9/R4dqI3HKsnyWGcRGacqkHpVewexOqPTBoiNG86ztS71ccl7Miag7kdUdSxcoe4eAo0HfLWjJFjmkisWZn0U7QgUz9sA0jYgOuSsno6/pWABgbmZTSkcns0A4d6k2sWgW3pjm9Bi5nLBqiNqj5FaX297hoJAKAoCL/Jzb+in46ePDu9pMGeNUwTNS15wlQvbfpx3cgASnShVd/c2uOaTwJ1l8khW1k7FlyNsDSdxJxav5yxz6IGXrplj9jGo2ExVZePzVQ1AUus2x3tvroTeOaxa0d4mpEFioCLjouRtVKzkMdxjdhvhKdyAsSgfEZdf+EDh0SQ5SWCSYQE7DK8XCZI++gC3fhcf9XfPQ3lzLoraKVZuXHAflIPMg9Xe9Qa712pnSU453wJaPKQ76aWqvCHmHWP1fdt3xHp79EcD2oPZ8dNzhrEBSctYjVdO22oCjil2+0Y/d5lBEBQXEvTYNel2StCnS7kStPQsbO3xeV/qraG1MNcV1vFmCkh2OgTr97DaWq5G4LadgGvpWue7ETzwP0Et9gGdqFgcDPUkzins+ufWFsNs+blg7p1FFukJ3G74Vsxts01J+aGUR/Oqmj2khIduqCKy8I9aqCbPREB5AdSR3FzUfT3d9UclvDNdpHoAJOIKcu8JoHZW/K9//CdhSteUyF7Nqrp6gParYPxfsj7Tvbkvk/Ns0OANlfn0NRdRgqfttfDHb4jfl8s53tnZG2I8vfA2xFqRnYpSjDiIiVcBbDnzeULLjqVGozOIfI46gLwi5NJTvUtAXS2c9E68u8bBiyjkrw/RS+9CnmDa/np06wmyZcmZvdCBBaKSgfG0Xoqc1RMKboM6QYiIn3IVF9hJCzIoZ/rM+6Q0DDsrEDNCG3C8PWwVhMTYuYa7pU7gQkr6RVc8FixgH8J9lqopyhF+rOwjgKkouOv38D8CrYdgUFOJ1buHYDU9CCStauFYDRzcBZFekGawAoB9LD4QWdUKmW5AmqvLt4YX0A3eU3l1hbitzughbcyvq213fmVo8ljlxFjpUqm3wK0GhpDVzXUnd9yT2qfcR+hzO3q4LC4j+bAoYy6IWMUx0awPNNtMGn6uf95nWAVHYJes5RZKI1BiNbTWyd43H3BWGuRRN8Gshn6s+i5f+HJxyJe50r+G96uNy1qpdHVTGOuuRDYBnzkPnt3lVzWELDlSBvrds9gjYWZwds6Z37/n+8z393yfcz4rl+AHTotCbWeLJqv3q71io7puekXhcXtWYhV3+dQumgKrvfrEGrOuEr55Sk9jR4IGqtcXu5rVX8/z+nr+9vD5W//teXXXzkzx/PP3n8EudnQUoFHYXPd1tpPXWmF2r49Xa8dPkSYZu55ub+pQgcNqHkwFMJClr6h6wOU+14A9hNYqUQ5317FlEl3dWdg7KlVp3cy7K2GtvZlGD5DEI4M2tpe46C7XO0yktZ8MZ4cSubOs5qcLXQ+45nqgx2J2XvCGn6A542ag6bEDf8B7zu9KWKzwntnB7K7A4dLOI6DUBUfFtmBn4/eZ8973+/x+631mpDlvjR39hmMZePkWmpzpRBsV7ILfOENbqZWKdfoKMIwQ+eQD0VTxVQ+eqodki+V9R90P2fV6bCvTpXLYFyrzO2A9pJ+OBys3X1AgsvtuVnVnpbEa7XyqMabO2tmjmxIbA6GTFt2e2nJfR2HSuDv3rYKdLi6BEdn42eBwuB9ZCurKDyacJa6GDc0ood0hlMt3Ttt0sy6pkah5mLw4pxehOnO3hGs6aCuoMlka9U7XmpukoEvp6g3gZKZsVMJ8dAtVDmWTzqSlQwqrwEvbW8xJwrYs9xVGftyfwEivy1qQ9+6YcG6nXx8MLLNImrM0X8EaISwHWwh74Vvvc1eligPVbLN1TnWQlDn3QIrkDK5VG0l2EsfyYTPA+XwCWdn+eXWwYgHHiSZRDVa7hBFAiiALbclJeBBBsaEIqHNG3PkjbxzaQ5VdUiPW+H4PzqgaY4jJ18Phe0mtSNFGNnzbfOdrmjSbx80pSa0HTQdUFIrD85q2uJ9USbuP6TnzKVSnO0VVl6FzCcIAs3iEiUJ7LbWgJXDuiy0hFC5Vb4rpwr9uUk1I5bfhRgCzbu3e0BiCPleRMX8hVdevwuqqdOvi9bL4eKKSXIkhbC1jKyQJzcIJIaf0JnYmb59fBWt3m1JyO0AkvOEOWeR//f0/oz5a7bOYNOjCBzT1MZUm/XYkhaj6TUuL93ogdHy6Y4U797/tzbqsDAbM8lifIlfJjOqkLlf0CzQcAFa7pS8PlxC32JGjS1A9DvlszNRt9g3e2Crny+umE+U1I0iQOcvtXMkb6a/+pNTGQLGxq0T156m6mWUm1n3Ds9hlBQncDmtJqMoYbuYGXj6arhtMJeI1b8eYmp9dhh4A8CeKVkHVwdo55OM2weqOElGF8dZxEll//GGQbOJi8uKK5R48Rp/CnaE+7GVe5drRleHHhONjqBiIzaAkjMWjOMSzH0EgUcMtVdXo6iQKXI+7y3oYR3iupjJy+dnzXS3cBzFduZXnVfcM9S+0yzf9CIvyDIBwW49BWhb653EvGxB07OJn0U3J3dh25yjA+de8OR5eBYuC7dfrIJkt0YFZ979MkB7uD9FIj9ElZmCj0zUWFhYayne5I6EDJ8sy+FTOe49Nl6GPXMwY+e79A+C1kELBylKIFyjYvVZHFr4trRnx1QzWTa9f80eGJ1bFon58lO70aqQZ7ftbf/3Z33/OP3+f3+fsyCUspwdLNc2nqKYD54oWqYaVSsF8UOvHy5Yvf9rQklZqEB6uXfJRIGbn7O4OBuimR8FHv/7t699+1dfX64XX84KEGe5qEwfmgFbB7plNKpnf0sXYceOdQEh2xQbj6gjsAHSZsmuzGGVuv9Rb7LjYb3ZEqGN7xG4uxYHsB69KOHfgZOSnwsuEo2oIjYBPxwne9uoikQjdvF6ifNOoFxYgK9LrqttuREdTTUH+EEzx6jJLthi4uq52wMydmJ1xnzx4z2r4Nucu+tWwco9PU6Oh3DlBZ7Cr854ZHcBQ5Er0Dgygdg8T07Ba2QRTRenh04+PpllUL7ctH3VCxjqY1KL87L/Cdndznqqv/upfeNjdapQevYhCs5BdHQaPrWXHqKg3PlzxVpWjGwGWd4f7OJWpBIMX5pqrbJI0OFZjakLUamTHH0GenZJdpsbHjPmWwMVI7ruQQ5lEXZlygGAor4qcN0xzsj/sxDXiiknlYG7zrWvQJ3dHH2wtv5Qh/AloHEcjnPOeu/HS2bHFMr12yzPcgPs0xkdKEXTC98fzTlrI2BxZNhUzsKJ/YRgERIlQISZiN0RQegcdsdxmaR3zWfrXNQa+zAHyLqobHEB193EQd1jhzSoy8wYut/T4cIiGKZgPEpukJeH5DTAK3cSdakkA+9k1n0CNwOiUV/SOe6XED3qZlMJMLkNEUwBq7NoyS+tDAwVLVqzYAdQStkXDWwauTOljc2fOYA4c/TuYrO88/KdbvV3RvpeTh6OhYVVIU0lPiegTiMnSobVOcynn5lkRvkYxhJLeNSHMoEdYThFE72qriGk0LLDs54kjfk1f7+IjpjFjf5uWEbL9LV3XtsVQJJHl1XkPYnpIurVjUjsVuW7/xsIeAzQJ0DevjY9r3xAb0+lpUYqVxYdnNCDBLPy8efoNVJEaz1gfIgnnKVUiqwyy+smFTKZ9pM05Isi//+PfDcz42FqHAGGMcAXuTT8rW3jdtLprTMy3rNq+k9EKnZE9g7R2Zdgr8K/ndmf9GdurCIoV2Iq8A1e1HaAOR3P7WHhAMb3/HW0rekcCmUzCu12YgmFyfbfsr2W2mQcEkcXI2MUCr4qxeElkxgspBLdOd/Cp8N7uP+7p5e/iPZmVbbym1v3U1oUGfGZm4JcN6LTSaT8ZQ1H1SznXqYT9IRn0mSF01a2VLc0+0evnNvlBt1XARpe6C+J8jayXhfSwnD1m8CJdzs/Z+/OAu++HuNb9gMlUFqLL8cN8Veoxxt/pBro9tssqWNvD+cjESNrtrvRAlKegshyTLjxR4XhobxVqPrsjfOjpfgahrNkoIzfjeCJDCBYomaHJTGapNC3Y1QcZQHTVBLwmWZeW9fXxWaOQQJBUTS0nXnjYXG2v9ewn3gpFWpXn6126QCfv2/FetCkLAbUm0mn4lxfK0H0CQFLtNAbpJ5gOkhXm63JOD2bqwnqxHT8YQHuIWYseogZt3B7jOYWmPllFRvoIalfnzHv158/7n3/e//xrvr/tBBmONzEiw7/4qiFKjZb3BgeTsBuShQ4h4nmYmuTOphsxBGhSAY42xpxZc9Wr42eWhLafehov8FX1fD2vr6fRifoYt7/CAi9gyzFwFBdTfK2Og/l8UvrJMzRXNqJCKBSdX/yA+8XuLpPbrOQZ+H0DW3W8AQPkzgd412daDe/FtrPfHwUvcreClF5hi9+mgPSOW93EFBZ3rwhbd6HASvReCByhHU0P8CmNqotLfIHePpSwi0s4FSCOds8Cmt3dneHZpjg6Z3RmCexxuMIcrecqrGbdvKNfV7QyI2JFnfmeFYijxQ2IFsD1+g4XHJGOtjeQ8HATr6hmc857ZV5t2HzQe4OKdyNxA9GFfp6v7ucLv/BUsx/0011VhuytJ7VNzG4OR+nYEWcUyGExRWeIWS4LDfEYXC4QrVVx9Ly89VdWSDPDer6XtCvY4rxHHpPdF7lrt6Z2khezgs1cRkesDluXNSaRP6FtxkFk2JouOKvldMRiCJhn+ItNq9Mrmk/S2O7AMfM0cXGBmJI1P8tvzR7lQNUVGwniaTwuPijOeLGj9TvuF8iwZNgFRng8Jqe8rezMHgzxWJLiKaQNiGeuAzHoTjME0PHE0G3n98KcHps8iBhL3Q9BEjNBOhL/PQN0jsBzTdzde8z6+yqZWyqvV4kbCNSqqn31KZsXrdECiKodRPQcE2CSev3IRXfktaqGxuQoHdU9cimxVns1R/aJOBTlBmr0Iyw2XxxVxIgNM/0S2ddEJEg4OC9yhpn/V4vd3V3OHIkjztFQWo22FgKPglIXe3e7PmNM3TSY9WVieYmRgOqiu+XS0BEs2+JsgCbUyCei41StTMG92iCrntLbAc6WBVilt1gqO8NERykNyBEbiy6MAFufF480bpwCnCvY7cricSrZjqpPVLsC3opRbblNvo3JTcQBpBmRhd5PWpRbWDfCbv7tEY08gDth4Cu9bu4OUoU8UyhzAmjrjRA1fmAyZ4z+/R//KUiXccSHJbzFDEjn+4E7Lh/dUYbohwhoQ2LMCVWJevWU732mzsjLsdgeg5LjWpTuwjcf40KTY5eBD48hHzr2DneRhtvJutyDfhQhyD/BYB8EieEF8D4awFBB7uSA9T0DHKnyM3Hxs0EOgipomR276iWic7lbDvzMf4CGAL2fFi9KHbiOeBCUDc1B9nEZAWOadwfM/Wb5dkbJtRSGVwBwh5u0Awz3W5ksQRsy2zrP6jU96XHBr8YAlbDc9s6TiCFDA0OLfpyB4E/rlAWLPN2wROVm0sCQMu8FLelEfrMkE/onr/5AjAE4pdrc3r3cW2YgzzXmk5lkZetsNrNkBN7s5Pn6292N7T6/uyFlaT0u8nwXReUbuFvUqonsSP24FLKcTmY15Vd90pj6Ju/d0ErOrgP43fFDArNE2aAvIKe4h0ozTttUTr7K+X1bfPmfQVdU6LNiq241vlAHi9YPuJBQ5vvpdXLI2XPZQYRVKHrM3dBoeHa3OqO0d1rpMlCOx33xkaZIWGFMrA6W2jmHZ8/39/yv3/PXX3/+DHZsVUUZfBJfFMl+eSVqCXj8kqDY22E/qvoTxWHAeN12GYDKFjk/66vRajga15fvHAAuxs4I5ot6o3499XSr0EU+3UkwqnocgtSsNYJIcTAParlYdVOqcRdGPYKQJ9L0lCcCFrue1xNashkr06rtknKfrrqL5Cgsi/QBU08mfRPZHZAJ3C0+eFKBMjeWn9lejld9e3HjRqmU8f9KHR0UKx7xibLMcKHBoCaHIroR3pzEbs8ZMRkq7yPtnNH7ve+D1dG6ecSZS5wvvXnU2bC74/0aGO0X8PbV0OysWYXV2liQqGkXJQTQKOdfK+DCgFXFqlZFWUiSZ5ez24aL/GG9U30Kr37U3d18nn51daGefhZs9aspKwaNngfjm6VG0Hwbul5ZTlBLufeQqrSDApyTaNSgbgco4m+/CipqWDVYDgFYu6KkzOxFkHxWz53rIWf238cL8gud9R9F4pM5JfvxAB+yKTl3ePNshWQX+LlRkAr4UWqk0DJ/dYUXA8xvCaxnN9pml5kzu6Mz0E5WZAPZDRLEy6QScs0IS4A3V8nDpRndvKyG992rRu4Nt8/bXguiZB8WpZIzr/O4wD+h0i2XvRC4TY9BMZ+hOl55KCqRhPqL4QABAABJREFUQtbbtuoA2SaGXPN/6Q9cH2WfRZHUjGiZq8PJCSsO7sgBkrtb6y3yk/rtf+qsT2dCGE3yQayyO3xqa9sOL9qXWFhsbfDsuyvIv2oP0drsEIguyxUvLZlNPaXFdjUGy/eDJ0oKYsSX1wzp2Lu6a/WXAM1A0PcKs0e7w9XuYgwFH/PLy9zZlBirVrowzp5GlVSPV3HwLkXkaPvu5fYaJUneZOOC7EAr13e6q4I1vDTE7WpuF38/teezIgWJnlxsVh2qylETcZsH08VVE6zEcp31TzT95tYp8G94LLdaIqhZPGCyQy4pwNIMilpU7P4uTOHmLeXGAr0Ok7m9XxhhzSdtMKKlvMLEnbSMSonWI6V9hQj+/e//AX2M40gEIeG1XKBXVsbLm9kiD+FHFQVcGrTKvmlUB7gaN472tjxpdXaESnERxk6XAgq1D2rZoec83VbXhcf9phmWuERk6QegZqlUs2HhXX6vxcDSI4DOXPMMnHScXD7IKbElrTrBZVanuInVDqvY6bpxuTg6ekAu227X3TggpE1OGckBncAunCWhup/EU2LUPwz6B/NSAZTMyYeCN1Jcn+cieEDJoIG//efU9hFkGD94jay/ALK0TepyEhrCFbmfDO5Y6tF2cWH+hFvHsYoI6LGqqsF9CKO/cb5PIWkX9+TDzcbxVfJDHLlUgoAdGucppsyQGgp1Uso64rTv0ixrDlhcrIOB7DypYjQ45EP4SS828IZIAU8CR++925Wei5U5S8fEqBKzFEgrh1nxkwuBSHIIQxcaJy340LUmHN3+PMCesC7+ystEOV6ooUBP/CyyAg7XmNHZYEMB3C+Hk6k9jzYuvJOaRT9sill5TTA4Ts9HkIkkP4l5tO7D3CJbQglqMCuf7tzj1rQeclElPM5RXGskd0aSVr//zF9/3n997/vovHd3RljM83Q4EVt53QU0Cyqy9Lg4WRg1gkrtiCD/f2gwxNRxhtfumQt/GmW+KJ8s6/HZxUWeIjb4ovQ8FmO1wwY4Vc+rSdIrzZ4qomCuGBmA2wZ2G0Agnipvr7JFSpzmA4PKJNCNp1syqdrQZ0PcrPxVRVenND+qB4IVUShRy+UJ3ElU4/HeOZpaIi7rGorwvnyCrDmrIs4WHfTB0kMMam01yrvpZKyRHHQqFHAUQP7s2TeG2oP3+7yhOXsO9+zBu+irthh/D6Brz86mZ307SqQ80e+ueXA4o2kFVaTdGF2qRT7aSv6WeUlc96usxMLDdi1XrgMXB2g35P2gGl39etXT9VQ/bXfQsp1w0PXLYEIGFAsTJIwDas7dgJamUGOnhsIA8EMTa5erpeyqUCyGv/6mArt6ZkKjEFEwuSqdYkvGVBgFL4BAKpYq5ggqv8pm2Ely9pjYrdI4GWLlRVTuEEUl/7xWG53UWCm4/OlHmIRgQ05GOIUbD7YRkfLDvsk90u+xeG7hTEqPzW4l/LPMWblLYGliYnJVpSCDQeLNKrQtAOj0Bmm61wtWaQhWbOyxqGCN5GhYvcATX4F+BliLtK6A1E/o8mCNyXCk7LfLZJrONXcriFwmct21SCzyUH2u9H6RcmdbofwFPYmqtojs4IClYagM8K6qFLJwh/c4DQxvl5sHNJkkrnTpoQd2DTovl5OTYxdcTYHtLAYlq268uLFB4tn6FovHOEbGLx/2VtWQ7SMVFFVvDkUtz9GZI+453EzyWvfi/hnrL+hN5zcyv6sWBLpM8KRPtP5BZr3k8A+rYd0WlXpgyTe2toJ/ocabPEhaSudGuvmkgJcvBAwlCWP+pzwm7N40GZPAHY5cIhoOsV3bm/KqJ5KTVqxpRQlVSWSwZEeIOYW+JEYYYczQ/FyUP/CLRqNasceQTR6hoSNBcuw+dh2Bo4Wx52YSHoY3G9SPDYIsk+R//eM/i5gjyyN2YIulp04ju4r4FiEaLOcoKytY9KJRA4Z1w6HzEAvzqMmaHZbM8J+7Isu596VtlkXFKlXkjk6o3x8CO7qFtOywyacgUJhCGzj3sYFrjoiW7tM4M9i3tykQ9D1RQHaUcKja9TMooQvQVY6viaq6zd9Fo+QtONf2TAfgOuTqFl23ZukVYCrxNvy3l1QczRecNMeQaUoEyxTZ/an3pY+sbddQhr+0+7UaL5rUZ4i13Pwa3mi1sKMeglFkponv4ONKJ8tr5D9INdexElWAuSEwe0LuuIjQA4W6aIbdp8VLUcEot5nVIiZczX3iAxiky/0oWjyYuM3Z5JRzLUe5Q1QkY5l6KVLrOBwx4kfRwgnCghQwXqAQGKK4y04rCK6GVh1bAEWTAfSOi3aQi5L+x8Q3enIYz3qauhXIsJxO7mWDK+4jR+etvSsBDZ09o5SmItfhjQQiEnSYVoWqcqPnBAlWtdNXoqI1puYb5CK69Splxafgrbk3ONZwZpRv5EKPXdWWs5svB7SWXtDdTrVX5Kph7pZYavdAf32/33/tn31/nz3fs9vfmrYrXGDXi7wN6Ap6WGCTY7aInxkTwLJqE5tr4SN2N2sxpeLuWmfCn6wDJrGkKa9EIMmp7QUA6wj6IcVmbKo+k15fXcWnmlVVh7btS6otZMtGFBx87mYAlfOBVvWw+HSzuEyl8T4MP3TuuNdjylJ7NEYG5Zf7KQYH1uphrdahyRKeB40Ct18VdYCHy6Xj0QJKtiDfN2MhS8dJVJLaqn2vB9UUwbFr5nveVJ3xZlIdAItzZt9zFn925nu+VzOrBRasw+chUFpv77FMULND6iDGAc8S4nLX+YArcJ+o22k25OPKuedfEwfosjul0uobqq6Ch8NY7QraQp2n2tkTz6v+9uv5epFsYBsgmy1KVVVlPktNuju0pWYhDN/Ajg8Vc+wWKeDkkdxdtcAyUPYIg7VTDNLcCPlu7tNtbP5qLQUmFNL3L15Z8zA40uPemcoRCnRFeyBtLb2voTZsY5pWGZv/gKH+V5B4O/JxDe+QY942vKAZKVPV9iGi+CB7aQIyJngG2CL3ffCeEbgLcBrJXcp2TmxqFtNUluxaKWPTaP/FDSP8c9x7O4LsmKTFCLieFq28ZLNNx4be8pd0sPjGL1Sc9ZaUjyzZYJ7wuWJxEQsGk///Ts6Yl0l4uUM0GcS6G12ipLLximRp96a2u78a5Q6lIG3q6weASWsC78ZQWa8TVE9r8MYyAITyroznYpA3VGJulqiExwalujmqsI+/rdGfwLMo4hSK7F2vTLiu2ihH0Vh1u8F16+FHarZm7U7Aee97VzMOBDwj6CPJZ2vIZ6HFCt6Nvk/7q9hQuxAC3RvMDRDKRNnSs1cY7DveCqikjWtXVPwL7LYKsmyCYN/3K+K7Kgc7ly5+2l4OS3k8NcZvFJcVTsrtgiOJk9R7q7CCu4Kzk0AuBYVBjv0IS6z4wf8e5JpRVYbdSXETn81L8LhNYnmFjUJ0eYQdq7OtN9kLA1EE+I9//OeaIIfKy1Q04f/gZ4NpA5DD4hIdgZfuJH8sr2jGnCutV4riExNxxd/lsaid14d6Li5w/R20Hi7v0GN5SlZjLBFh78RzE6FETjddpyfcZTrvTshIwdhHHWhgiYSbvBtHRNy4muBGIU+Q9s/HuhVU7pQuFbO5CZ69sz6JGR+UyDSWEwggCV28chd9hpXFR/iHy2UFWvFRGezD0354nnzBHcQOVNCA5EfnjcGWcfV7L4ddIQmVU4Q3+Cj8VTYdkc5VMFEGzbKYtlQZ2MzNRewT1Fg2Z9D+Kxlcv/EzHmx8b/OsfdB+FvYCy8zvQdD9wDVJFHDMQvy3H0TeTVQwNVe6NgvicC+I3lozGzUbLOW2qzIuRPrv3ZnKmJdv+H0NRPFq5BxAtMIyqFWQYUUn69xrNk8wu8WUkqoLxrG3C28R8ojQ4Hb3jJ4mdlDlZxCqxSGYvAc/8YEeFMewA7gAdgfV3XsWADLHfHMIkGsIhnIMuugOyf9l+BfEUt+gvNSMW3AgddFtkWFBVsHaoXILKB10z9H5fgv7+89+H/z5/ftbs/Mz2XWxWVrVU94hR9TU0ok65dU9XZhFvdovNCOj8g5MR83kqgQ79MtibjwiUu1STjeSRoj0CFiWw27bj1ZZ21Go5vPwqX41UG3iMxwYWUQN8KJ3XPWzFnOpuuXWp8vRER9JtEV15dwGI1Lg6M3VWcGrPzJOA2dFD9SBZoi2eO8lqJrtOyKpq5e0Q9WELgHjQz59b28QCINxHDFCcjdA0oq7eJ9z3ppdHH2DM+8RzhHPfs/M2ZG7a2C1YvdhdwNb1ajLN2GOt61oJLMBLp4nH4TVCne73IYMTW2eaDd2ZidsVysmABqqz4rtB6BxxMcek1LNq5+qfhr98G/Pk4Avh7CwcPVgjH9qim1YzTgLBqdw3pNS5nHTFS5wwzqKdc+HaF+cvbsYRct55KPuXfVA+Hp8zhvsktnoQCgWTSRzJzkBhYggmxDR3XT3bghAc5YtTixIqYcieER65RhzHV0+R2sCfJXETsvHibOO1bRA6XNCXBjfCIqDN+HhG0X8eY+0QEsQhkQJY2+sPbiuv2lFsL6UFmi5783SiFviqMARNg66N1w1gwldabNFCvmpluoHlc1MfEE73x6rFqKMyk7T9Rq9pOv7jCTkwv5xMZpzBMwRTPZdp+kLseqTEolIujXvdndR6Oztac5OoRg/jo91LSwEMoaGvXwYbmQkWLBpIDOqT/Ns7/ag5PCXwMveKVbR/Y4nFQi4ExRrJi4U82uwpwUHou2MDAbFKtxo9W37jCUDXnuwq9XOYGaOiXUhjEBIzYXg22js3mgwKffKvkcFqGp4ME4mEq0vDYjmlG6NohgbR5fLjmgDiz7cQQCNAp6HhWKHxDZRX+wuxY3CKWSza9Qc2TmUgnuVGmZOeBX5d9hiZDvB83UP+21yduMVvdPnFd3jUoawhyBScjOmH44Qn2i2O8MlxcZAoeINTX9OwG3l3bkMq7r/8Y9/v5lPmtvlmzfK25tezqdIfiGVFaWp1XWnEBjydhN/pTW+jYvPCeeZrYvlnUyfMyBiNAe8ahbR+QU7j9yFbkJ2IjC/iQDgz7C0sQt7MLV+kvaaG/2ri+vfCSIJHtc9kJZ/YJYjfwJZm8hU+uC5SVZghWLhVZ7g58BQjDs/3bZfwSzZI69ijBdj+JAXZJKuiShzctdzD7LtFkn3qAWw3Q92LQbsqi1gApy5bLhNjoI/5nfAuifUyqnJnohQm6UrClNioKVtc2Iz6dcBN3Sbdt90YzAZyejecbJ7weEIWjAk/p1x/C6Ef3GjZBOA7lhVtUCVgUh0QQUcFk0CwlzVum3ftDNw2IAy+dGfwAXC/9wv20dCzsAduHhETOqK0Vp5HPDplbQO5wzK7K3AKGiSToLa7Aq5yL2UdmK20FyoB4j+8TMotfzpEXxIXK60ZFJoEhslTEGrtm7YzAqq5OimDIF1x/cA/BE3tUWRV0IUYZDSF1OMY5wfutqr1aylqSnQYitA2mojfjYGC/TZZbmQdkfn+H/PX+f7HMzw7Ggzela0SX7fnCvjcWUNdqnQqGKThqtxdinOnt1sdzFwNXb+y+oXijjKfbOkLQQz4RaHGLYd3T7E/EZaJVNV6m489SK7Xqx5tbdXlSHQKiu4qru6+XS/CrN+2FWs47sHNp8ygWdVD1AOBlm8OTwclWZEU+lQ1GgoYwcPKm3wFVmsynFAMPFFQVXVJvV02Cg+Lq7jLgCUOUOnlD3GPbVTA52Vjt7f58/snj2aM5hJHz+jGcBLLW9BcFQfXwfzijPJZWV5tGWGRtgZgVruqrpfWOtsUBK3pkTqjtHuJBV1o5JcgGYaniplZvX+0wf85bTOZ5v9PK+nt7rbwMdDx/vYWlNRNm0/vbsFsh7oSAlDtBlPJAdvpwFkWpztp1YUZ3dyfgMX4P1B21ECVMvFpa99mrGLLL1Y6OABpR8MA0HLrdSrp7kAZ4WtsuQZT5Td7p/HA1Y2wYU+NrpkDTND7BrQIDCOlBgsvU54Lx658NLsZJxirXJFTlMkG9xHof3UQ+3b9gMnNQ0aQYt8vNvUZUu6qX1yhUc3BU4XKt2MFT6zqFuCfF1ASDbLlCkilgmnMNVKAbL82fCsdfwGtarKQvGQxgWN0VYfjYa14HoHfISV+RiKfVUIfXHJkEUVh2PAikRSQz2neFJMX+MeKw19ImZyRloI1q7uTY4dThEjBbI0dGNImfQSt/wRzzSztJFu/V9ZKG4fiHbdMaEs7tlkH7GKWZUotlFc6CayW15SKFVaREsiD4NFunGBnQa7eJ85s3bizBDa8Vfei7ECmD2kDWbFC5BQwhYKqOGxsIRuAva2XblfbcWedzMDGLH8xEb1ELLEooiHqMdgyaLY6je3iYcE2aiqoyVfz+42PkIY2rvXnlNX7stBXD8eoXGj5+Wp8n62Cs+Zxq5IYXb9R5wXIce9Ql6b9olwMgmiz2lY0KRHFX0nDKFj/fkSA2rVhrnfbBVdXiWL8KxzOVWrycXeEMM+h/N5M0zYdoWcxulWl+JWt3Fu0qyXt77PvquqVHgEbzcsNbBdbSqfuOn1xcWYeHF+AtIzRz6ICQrC1XCLHGa1XREzBgc+T4SnA79AtM5LMme5yclKlClhHi8yELcJPvQX+Apcryy7jAbf0pF7MfyiOoolY55UwNQVVMRxKZbdzs1g9H571+Us0w7vWe3Nzmj3S6TkvHyCBi0EcsdIyW0JK2vGfSTpbjbwNSQd4qc8SZRogxFUteNsAgI9m6OIquOe2fJASUDzuUNB9DZIJbLPTKwPepM+MzfFc1MzwTjGP41R+hZ2TnFmtTIuxG4YAMkwvKoNQx01imLmaC/KbWflx1vrRscYlC9O8k/SgU9ZlwaAFkbE4k97atZXf9xkWD3rQ+oKJlxs/Ho7p1hRya/NV1Gk9hqcyzzt9itVzCCwg9MpS6UcEmlAHYCdEDkbExoMFDkD1lboY7+mqVdhC22Na1Pf+R9fGhJmqS6TfUtcsdAdqa+5dy3cs8pZT94tCf94QA5QYJfiqjEmTCdAtKQu7rKr+KWvF763nvPM4Bzt7Oz5fvM9eY+ERTfVZ959Zy+GVq/FMjFKkzkjE04fvOv0j1RD66HCqxDrvu1uX8p5I7Y1G/pwzt+W0zAyLID+QjNoHqCX7yrsyIGR7VOy0wj6O1j/Wg8EPksJX9XZw2uVh1BVxT3Sgl11FphdrQaj0d6xWCUlKML5UZ4U6xNGbWRBeQojLz9Yd6leM1eOQjcZykiQsGY3R9oRd0cc6f0Hv7/Pnz/zrcVyZnc2UTjLkYbECdhTHOuWUS8B0Kk3GMGrzrTpoCXpdlkC91VczFj0JbEezbH8VxfI9f4HhI7Dbq6HGU+X/W5KWOkBqlnN1y++6vnqqq5+FR0wosKT7V2165e+AJi0YXl4P0TTuvLbzh6NIq3By+/sU1dluNYirjV1aNYApZo9F92wmqPkbTU2D3YJ2eqEWT+AMZvhUx8KCWXcN2zb3yLOYjmP8F770xd4LPBcjW2krhcLtK2tmHDJ7jnTFEnj/hQ3SR6DLbDMhi5AnrVAWhA2aJ2iSWHSpQHUFYYTau4+wUqsPjFIFQR4vV6vNejG0oVzy6QE53LL8sWzEO96EI0P4x6GDt2Qm6V1nz8o1e6GpDegxEXZtlEfCcEqkLro5tXI8k0FIoFKiI3CIVxfutjXKwJOi0L1h2u4BYz5zW7cS/ArYVVN6F8lOcxqJybPh8cotABHUPEWDFAhXQslRkUILDROX5DnBZUFUvHaGIsHW+4qgNEYCZ5YlugZSmxizwak9/rHlAv3Gy5G3LVWoBI+kdYgqqB6VT8zs3ifw9pVGWzUpFO1ofYhlZXEUdjcSdUvWJKKCHyyAzYek60SzOn7GowGlfXWkcZry9/GTSXqXXrEQg3thFiUGoVVKWtuN75DINNgxS0SS+JWZdROKoWBquucJQA9hLKQk8H7hNU+5FyOwPijn5fwqPqJfxx4dHu8uJlQugKZgEiFI82V1dY2zCQky5Ci87iSY07xH3//7+jkFF0La5JsPcdIHcDwgxG5d0L6KpvbS6H1ms5vMuvfxNixEY+ap3qX7TJn/zGfWVgvfNpgYC2KjvwJBl6FSVlAXhLk+5G76MphbNYGwH0eJDe/n9Rw8wcRCdjwne769mX3X6HOLqyW198YsDk/A9k34ChCGIDRx12iRqEbBAOudScrmjllCJeQBYVSX8VOLvv9lQGoDcKHjb6cSywq+Sb3ggQAsvj5AuIZ9TzyOyyWPkIyxq/lS7zIRDpeBR5xWJJ7rji0sYFm/MdsE2AEPInJYDvx1nHa9Er4TsqR0tyqPh9z13qQDoDielBwHo8NK+kIWLlMEqsbWoODa5Q0IcDJ9bgbbiOZMwfUoh9FNniuGKiWU9YEAzSNEunWJ9xgvfsmut3gyx4zVcnvyVHPBeD1wLugdwboXih4tr+0z6A7mzI/a19xnwsPvp9HxGCI29hwqK4ZnyBbvxf5aOH8/iUfyxOMQRKrcEsA5/g5p6RQWMEyXg+vCkoUKqJsHxhXtQUgq/R663DbxwBjhtqZpXrwPW+oOe/5/jPvOd9n1pipz71dq89eT1VhbWO9sBNT3hxCwTMScWaxNoAmu8v1IBkqDl33pwCFoOf0wJzWQtUFsGC6I+qY0qKaZfc7nuJTz9P4+nrwbFfvGTcGj/Crv97Pvro6pLonxy7sUKD3ABU4HAoczDmj1Y5GWcss2GYn0DGIp8s7k0F2G16w7iq4hLqY/TyNZj9FcLwoR8RNrfXjWiuc9xF2AL0x0Ptbv7/fv//MHHzPEJqJY3PXCzZ5NqI27NwENhZazJOu2bFOIK+/SxELtRp2jg6/7jXMTkyvgJ4RMdhe9zgOCheEfdBDi69Veqze5+4Lv+p5PfW8+PV6vl7163nMWrseLWha1JvNoMM2I2nCxEWaU57UuQNiIBK9mrdZNoI6pIcZEXV24J+/l9lXUNWwxL7moq6cUERmRkevRGCXBVIZXEPLg3vE8gQHgtfxa9LJJzI23qVdVVVdNUF0I3YKKrC7sTdFEVCQrQe7UqHG2aTNtbQAzqBxsKBxs3oqCQxDYZx0JDjJChUUHgd8zOGarVldQB/XUe6IaXiIIpcFxL+WqpeuIL3LxxJmO6DHN0bn4xqkk6wKM+U3ZDPd1upfnLxiJQUJG8rxVkYFUEAWn32UNygEjutAohVVh1tpBLimJYnodSmBZq14tyuGDMovqxJ8tnqEEkmbU61pYQ0grbDUA17CiWaCfjQGtjfLf1EwZu8DzgoTJ1UOsLstjdzRW9/jI56SuyYAOq4ocGMPdyfGT90dS9VxUFVd4MzDW5qaxS5GM/sBTrXeD3U1JxAG2pEMeQh80tGRWGJHDUoTkCkB97ghHPyYkmu4z830/ESwW0lmsCRYbDW8ie+RztMOZkO92Ks2uw0Bqihzc1T681pEOhI/M1veS8kLToqrbdrF7fpcu1sd5BsZ5a6q20/knRwsS1tA4jqhZvf2c0iqYM4KZcCw3trINQUPu+7pQp+4DyH/8ff/BFblCEiNjwfgmuNvCxKM1B8fRS27sJUnilWop5rOuE4GTcRIZNdyu2s/VNiMO6IOQObVTeHV/JblyHRjG57NlyRuX3McqNtrWCiBO1tdAbj/qztAcyvLToyMmBUxkYYbr2ZhpE8evxYeAkBPZAs/QPLUDYeW+TGf9WeeCEdMwPLm5a85gi7DZdL5qHgXOU7ogRy0LdzjNdJ3WgrMn35N+XaBNjx2RMaFHPo/ALWP0EIr1yT+pIA42ZMhQqrGSo0+sHOFP+5b5saDxuPTET6BIJEnNMTqZG5Ud+0EcLk31Bg8mTYZzHHi5B0OvWsVCbi6EsvwnWB2zReupaO4gyZpvbge+CgmFFk8eYVwNJfYTpNwpJfP08uoeSa/o5bpnCqOUlP9mrU7yioIq1nrAdDcyeI9wzHxN/5QdpGe8Aa1p1G+vL+9O59b3PzsiYRRlApNkGFI6VY9CsaIw/s2ZWj9zKC4ukOCSZYw5G81Iy8nANvfPay6gfbdvY+1I0LKT3AVswp7gjBhUyH83sjIWK3Wm6p1n6njimSUfYmdP9/z3p1zvs++3w6HXY8T7d5oBen51WDvrvNJEok/bqUJaM4GR5IGO8G8oh/c9CyA48llHwxSm8CqOVTPUwV2E9POB8pYnPNAQBefF5sstnuTrTU19fSr/rZPfTWrG918VUfwSNzwJ1B1jAyNwPc5/NbO+8xCyxnsDq3HImgVq1eoF1/PlKL0QX4elqHRusly020YCF1b1Q2ItXqPes77fSTX6aMZfP/Z79n32e8/ehd4tFZsa4IgLKE9PhqG4nhlCACrovyMu9h9gIuihYgsxiiURAAC/nCOy5XbhF3DKe7h8r6X+oOoVVWp99fDr36+XvX19OuXPRvb6G5ShT7MvuZCRfpltN+/VQGS0r/YGeYtUh5xdFcl+N0xudqtGZqVBEvKRnYvYpFxIcim7dGyriwQK7K9eLxM8ndpuwzR2cGrKhth11XCIy6HYYtJ6g0+QNYPfDIGGvJBgfh/hyxLQQ9I1b4Pi0Kv3tdfAaF2B0gJ2wmxnZvhgrlcwYSLYQ43i2WirYKnCMKq/K23rKxWcEsgip6PzifoVHOBIrOy0ooSLNBF7W0jQm2AWOfFR2r6gRRY0BjBWnz+UskQwnWLOS0sQh4201wjgaFUjikrkxAeOYeuNTb3EMWlc2u4nZmFhcXQ4KXnVoyuH+FDbXhyAK4n2D3XXpDuInnARjcqCxxc+jezmcUfup3BVcvcgVbSitpjRfISNdmYuFiHYytzkKL8KlzDCIQBqsQt27DoV9XrcIXqqE5kEtgu6lvBJMWO7P/xLyRqvSHasytsG7AjXNiaPXIMok0urMoxD2va12R6AfIacx9+NkTSbQ1xRIb6z0h3WyrgdjYsqi0JbBWrWA5GeHVVoS+d4/FHgM0aIeV5RezyVbsSC0NlwZyT2kculmrsW0B02+bQQiWqfM6IjJvzbhH1ZLoSq7z/2UTfoq5DFAqQgQAt+Sxu3t0rcFeP7kNpx0EDHhW3SyttEvc/cKYdTKVxazfoRt0GAN18SEPwRWipNvtUakGV+MyluWZagIq0lhVndbRTojSZW69zmm4Q/HxKguNiMbjfFiSGyQRKY6GrrfX1909J5O5nJo7L/CLQeRjFi1xHDi2h7NIBIX9F2gsiJCQoEPYNgVZ5RbY7UAustlirc7Fq6m5CAVaqbTS4u1XtI+oBlXAM3GnRV+KGoBqqVPB2aHA7PEl30nEUlDFwUKqnZrKG0NoT60EUfbW7XsdAh5h0Gl2ScprJj0gEdl01UO4PMlX5oiYYx9pLlRZoSNt3F4SP2IGIIQQ18gB/bosZRduKd9lPcxxhwhTZvqScR6lg8+ZAI3nJ3CQR3dnKKtj04Hcx0590AwcZzoZ0VKH7K7vKvW+ZUSUI7JaXjze9wt1FmJ+75lRSy2vgI0MywlTFXTGKcM+tKO9mKfHiA7tdiXT3k1WrbV8pbqTUVkDm0vpIt8TKBdhXwki+u95CbW3kIQIhW4v8sJdxHzPpLtUWKPkaRTuk2MORB9AU5CY52RcV3jOxb4UFBFR0Gg4ILKqJep7m0ew877fOmT/nrVnqOaY2/UMl0MdpCXVqdNbHbhl8MyW5Wi96Ts3uOGC5pd4Uq8caAxXh7GmZLu5yiCipOQ5ce4QTDFDlx7zx3tGb36Rhfc9S9VRJO/PrIb7IK1rxFa7iPmj4UWFL3mD3KpL7+qqv0bxeRzOjee/3WyNrwFDeMlZ4Feohn69nPah5ovMIq2X2XrWbytarhVG9HiPmM5h9vs/7/d55757zFjQ8wNF+n3m/d7VzsnTanHzWx/DTkYCkz2Q4iyPLhSTQURgKUVOwLLbgbQb2V6gO7eaxYct47a6ecvQmeFdPgMXaVoO14AtP1dffnl/9+vW36upXZwRT0GHEmPBgbcDh1sCfxtX3Q274L8GmLz4YqRYQpuCIgAfS3hi8897KpHkzd9g2dYkFnUKDx3r9wHXeGJgFKGGWJXVLAE7shJOSEDequ6clO5QjPoFsRU2Dah2tBYwVT+ACXrC0QamEda92FqXx6K1a7fgXuWMGZHSFKRueDWAVGdDCMVDFcXYYPAdECG/crnKl3Ppqj+7iUmCoJPX1phFeFrONRRFWpebqWbvJSkpSjlGYCnBu7LvKOywLpdm4r1TldRIgR55jnjRudF2w3HKXIeZhSTMykS7GceOxvamW8+kGDeJIKNWaKQ4RUBdxTc8CB7670fPKTPs8kYSMyA7JHbGJ4Ro4oldeeGSgGxNH6hlDlacg37cLYFimk5ZQ8sKERWgE5MTlhfMrldYbNCJwwgWkl3sBRpRGx/HasMdCTihEmIxy0BeJsVyaJWTfpGkNEcJo9/I5KYfOBLWGlNx+CspjMH5AuKKyZYly1BbtsaOstF80anfV9nUHnP8Q5a4N4ngMsYqCB3hjnzJZM+xq6345rR7sq0q1HhICoyNjZZEW0QW0N3xtlNUDo/nxqDPsH2c9aTQDjXhk2ExWjl8zpV/EWGorJ1eXRoFuCyMUFEHnnf+saDK/j/d476zfS/98/v1//kdCyyMe8Qf4vF3XmlYBXReCbuRNGWpmPShsd78ML3Vdki03Nm2PiQgCxdk0l3c40W3f0yma1MvQFIQhrfLn6Y420WMTcMdoA+0GWfPT0mVXiqGvtvjJe2R+ty4mjKAFvJ8o3SmRcZEiHFK6sBAS6ZYSrZV82dAHm9gspxf4UKCsGclx6udou9oLmQdVmWtlLCz5gGo4n5M2jOinP+bla2lkXoeqveE2xnhh18TbQvZcieaOmpUcpALzKlu0YmRG2SMIGMIA7udK0UCxruIE/LT9JDSZR8vvuRWln9+W7S0Xs5A1KSXO1Zncvi3PncGW0oDeAENgN8bi8qHt2+g8MYUpp41PReLHaFKkV0+kGc6EDIFXzXCfJCuFTOrsbcWdJ9E+aAPZgaOZbITfTGyeh/wsuU3fxl3kHaDFx3YbRMhhm2e4yhRE47OWEHF/pNn3zTT1Z3QF0e6K64mwqLjRwkcJSMCmX3AyKsd8Uhvm/aAYEGDvqNoHtLt17wuF+OCCZLSHB+3pLMEX/uW7ucWDu8YGxrimqnbdNhv/kifJ1e7s75mZPSeiVGpnscLzyxHITeDMrA/FRbXmAFrvbpkVbzKZRkYbKK1zoEDgcLsK0my1GaodqdQ2yIt8JKjNWzH0bZv/LTbV4oGuUooiu6oLVfX1N76eXw2+vurhoOvr62lGQWmCeWs4wKt4WG23E9xexiNhRcFqVE1V+aToLklbaIB8XPC9wikB1pLojMtGs+Vz6vD7PX+Ods6fP+c9O0dcfGt2+V6e91vgaH7K50afJinCQSmS/mQ/ZagNtKpamxmCK0K09s9QPHxxggaCBZsOdUELSAcJA7TulqD/DLqrq79eeL76317P11c7r9bi4WNSxkq9UdX9dGSVbXzNmms0zeAqA1bim6MtvZ2k7m8R3nPVnGzQhZfU7/JZJfpnC89dg4O3BuzmkjZbGimFXQMiqobouvibcydWt4mHUtizGQrOxPO076LYURRBQMwNn66SpH9U2pQ9YpbEelUbWmuv5AJ0eL9Zw0qVy74jEs5/8zD5dkEZLGSHukssBFuz7vkVzNeATOwPi5twlH8UOExlUVVquHxouGbcEtPG5Tlu/K2fDerMvfS0g9jn5v/kqNK4zSzPExb5uzKYkvlQvW4VpaVnNe+UN12xIm+kqSUAH71BvhSTzA6nZDu2cK+IjdL5YFSeq26SmcMu4rZ1JxcfHxt19sTns3D2mgcC0Zx+Sq9uKmI0bR6natyOiUYFQGhmP9mAWqqsFlCkWHDt2ArTUBSXgyuQpxry0nL7di2QlCDrjgSKQxRVG99jsupI2IDjrtOdShxEDU9DTfMThCJYCI9x78P4eVuzc+tOaFe22wuCWnYbcQuPeyDXWdKxR2u9vzdUEWrAYt+nfJ6wmk91ew/iol/237kfaO/8MThQug2IK9tVsrtt9330+qrMvLpNQfI3MilS2OvG3eie8zazZjbI9c+7pZqavcMIQmAn/N4t9mcTQPnT/f0f/25mz4koAmCDrDHRDaOU99J6TX60z1B1CdXTz1Osp6oxVcUohS058KCtG+AoqNhReK8b69thB9BTej6Smlh5N4i2MQFsJHG3zUwXSkc6aK0dWs9yDrfU3gUoJhucnQJ5FvqAvWFrXDb8+nhs8WngQ7cWbMkHuYB6yBkDz46pc9t4aUo5mSDswPWDgVZMLGJdVGbjCIfKJtR9yLSDJRjFdOQPQ4O4FAe+Hyuv0e54aK9CZj5JVA3GA+antwTFua1xuLECRsCsumskyxkBaSvyb0b3uBvXOJmBhZuxfu9Ous81ziy2uNODLoFTkM3AmZfc/jDNakpducLdwSuDKzIq+MHuNMi6E5ulQRECld7gq1R8vKTS4wFCP3VHCCqul0+HAUNVloYXueaCN+I/J/ogBjUrtrGus7LRHWY8jaZn4sVlB4N2QVehf2lC+rlu95rWMnCNLgt6kmvQuElzgIuPE2E4bsvW6UR0uqqVioamFBegp81OmI3ggf829HiMsDFbUXOOdJd2uQ9QeIZDVJd1yO0vRXKuCpdw8pQ1JxZu2viRWgiSbT2uKV+jPW85inzqHH3P2aP3+yywI3r1GPf7LRb2WPpbtoVMypluCJ3tUq6T3Ig17rctMcYJfvLBBOmYuS0zNIp8pc6eJ+274ewqotrbGUF7xP3Et4iq4sOGW0yonufr1V+vFziv1wPt09WdNWgPu19yDlI9Lm4kRdaszsmBdS03wpIPmGCYGqgl229kUGRg7lGQiF1+n/Pnz3y/z/dbf76d02GskOPIinEa2y690As+826BU8BD9/lW8oEAZ0+Ohkn39b3HdaVgawXanPjj8qpmg7HzRK9BcAPO0mJ2kaW2Tpd8Pf282M/z66mvv9WXg+WII12demSGhOgdHeYayuhcCfVgzoXgUw2wxWeE1XCl4azeg00uzZjyA631YbFXa7xGIkpeZOQJXSztIVB8CcdnsNWm5WSrhNuM33mz3yB2vBpw6NcINRr/X/4tWpdSnFJZO0eQHZGSkjcFA9ZVAZ10LQTjholzwb+j45I4krK9zm2fuqvV7O0i2/Zsfp+3Fzm9jxDhs2lwJyRG9rhn0Jd4/EAekTu4Mtkq5uqCdgVa4SFVHy7Fbh9PaK5c3sRme5h2+UAit7Wzrqi7QGUDoK+bK0Q2QvtmGC+Dh+SqxwNhle0DITdmYf9lFYIoGNYRaHiO8HKsumCmiyv2qjC8GtpyDovIN6ngKa2ehhj+Nb0gtXYoJgDegpO0U50YgzRQ6UljPfA6V9ByDNzobKVOZTL7GRxpsERXBoAboZoGDVee5FqAiOeMTlhAms6tGpcVBIXbgphWikLDCUphvF0zrsrEBRhitbt9QtQjjucJZQypCaa5q8JZYUa7wpzl8vi5ObsksoEWArEOqXewRXpID0Xciy4zuX9Fa9Xp9S8m46sNC86jTpvzdB6v4swafOSyykeBSJrn3922ZsPEiq+4WzliHHgDQJys9xJu3JQtsrZx4jM3GIaCvGrGPQXKF4UXyIvmeJC/WSr+v/7+H4z63APQ3jihpJAJkiI+8sPoU2R3K/9CE9VktaWoaHkUN5jpIzWxo3QElbwpnRnKfkD+5cU1ouz3a2Za0erPdLqAB95ka4F3EKYn8JypfuquzsLcHtrfMgEG2rqFwi9LLipvJ28qnUGvRHI+h/v95RGzXOyc3n9qssVtetILHI7jMcaaSxjOT/NzYeXbTpeRdndziD+CuESgeSvlughEyVg0tEUTWM59szHD6MRCZqnXVdqkT9KTbOL2H/Tl+1T5zQIEd6+y0vfeAj9nyAByfYU5gBj1xyVV/AgWtHKgn67CCnSKWjazhm5iWH8vUqeB7A9Gb3mq9FjOTBicjvgJnwkr+iHY0MbylFd92/iMPVckleY7F4CQ1W9uaCpFM0gH4GG+L9O8U9xVq9aaiE1TQ2pt6tiMgVapJaQIiBv7Y0ixxI4gqtv8mo0X3uruuhiW0NNOzvM8UFZ1Utoxee2gBBsijLP5wdqod5YWg6X99/EIbIOwsMbwnHgnhTH5lx8LFMT63NS4BkpmtmMR2WyGuZBYqTyj2htdyeOwvGB3jE5w68z7DI5mjvUFEncGcMI04IgaoITxAqpdHXh77Sz7gYYB93RHUG6hhtV2CY8xA9/anbgEUWzQUVtumQxgASCa3cXmIImuVeXtJymqWI0wZ8EIrl6F16/X3/6tARSrUa8Xnlc9Xa/n6+tZVLH1qqxUsyw7TfVqQfelXtWaokL7Ara6otBHfR/NmXNmDmY0u7vnbP3+863he/Wexew4XhApAE67cQtBdtS9gmzsgLBytJMIoqkz6dPGJ/8eYfegsshGK+eGYyv+RJJ6ugiiTqEbrOdyMtrRCkM+hepS1cNGtx699Jp/+/X69XSz6qt6WY8w3BpMi/4ynnCVRAYWgYLsqGlpmuCUB8CZdVaVWtjh1nCX0v41eZOd+G/BxZ6c/ii8DvC6L5sZOxhzL+gNejRUdsX5hVu1N2BirbKxWSiICWr34Ir/DAJ2UuqsLUdtnKyj97JaLkPZHo1gLiXteoH51SxEg7HyqeXVsGd5TcMrP9ACWN0qerq6HeVyofeOJtlEiiMRK4vykT5vPcPU50WLhjkfgbtuaowEohXlsGkln5MwzQXSnczV79pduynZTkV6mnrPWNI4OnYdHC2nrtHEa66BjPumRRkQEcrKDAN20YdDh4szkiVGrrH8wDg2OwH3Pyqni/BJ9rFwa+Fwn7DsZw27SUbrDPS6tw7eXTYBZpdMMdDn7Rq7UkAUlwzvJQmyY4IoO9v86MrPhv+ooYX7uER9ugTeQDm4sJRO1czfLn52CtEQLD0fcBulagz0jMeVIJo3vd4Hppb1v3H8yIfK5rSgYVb1atX6rAaDUcH46meH2tUOrW8+Z2dHqz+baWe0JM7mSLudW652/uX+04IV86NMo+yxquuKT8yEq8zQytQHbRq4swy7dL1M3uZj14Crt0bEai1zuFnNuAOQAFho7Nhsk1gZmmlCVm6H7HTU4jNSe0iA6w4uU5HJ+/4so6X/9Y//SD+Z9s94aVQCnxnRbVPJNHCRobz7YZEPyN7sn3K4qccmJzBF/WWBqwNo4qtuY6kY20hRuMuwLR8YZTa7rmrmALGESrfufoB2uSn3PiWjdIY6rYNGLjKR8ItAQ1Y5X2FOni+fPIMbexJxRigUS1DsvN/pqiQpFUiHX2g/pFzUyOl6EWeFX8J0kpa1eMYLI2MZzG1a3VaZdCw4YdK3S7sh2H4+pcNkayu67OLmDU0beltGJyhU+/ChXfwlh1D42iKQgEO70g3LIgDcfTkQQJvVeX94NB9B8KG7MraouevXIv1gBDLmqHwEw/kuRDgW5tIJ1rdmmkdZTg6KarJtGXv8Wx0uxjUjaGzNM1W1Od97X9kJw7vUgcdVLZw+6I7UAJRrmDXNNgr6BHG0gHeyJLqKylaXPHj3NXc5uCMpcMlcxmXr09KYifUSXkteT9msk/YMpYBPKGeMMueT8kAY8jGdcOBxWI7Dz3uSdN004rWlBrRcbXvyDzFp5SlF74aj6F0DPrkfPgeHpL2BbuTzjCJm3xuR5rLUq2OX8mbGrvuw7KUyKNGwvbcArdaF/4yk3aX2DIDR0b5HuxjpzDqifMfFd3cMAsQwYgxh77IkCtiuGoEJIizMbqvGpRy2W5TZqi5fLT/3fiXYEJvMHlLmAXcK5D3RxsD6FsB+mpgmvr76ebHwVKPAV4GPXtV4+Ovp7v716/V0PU8VcGsRnIRxFsKpKUCnfSy2N6pAq8H7nN9/zu/3eX+fM3rPjjfuLsA+c3BwgNmFdgismtVNYwT+lQvvQ0Y7mQ+KVTK4LSUn8hNrvMOwHmdHy4F2YBMhRhaytirQCFVkdYPTVRS7rSN7CFBHbBYePP2qBO6Ar65+9qu/vrpV3HIUeZwsOxySO6t2wGYBByhVoQbqhqAGySSJsW/5vzOvI7RncXYX3G8jCkNgXJijPbldqsB2SpX4ISgJhrmnMwaj6HCgxzVsY1XFCcvpgEUfkghyZBXADpe4GU7XNwn0SO7yLtCiEiBNqVAaWcFe1eVxON14eR+bz2Vz1D7AXScJsB+L6RNbZ5nN7u7mGYioQ7JMcrR1TRDr/5S9NmISe4aoIwtT+poEgvDBW6ttkobhy+KTfuZKQWOOHAyXY6dgRFFRBV/sx0zuZ3VJumfUF/ndjPcOtzm2h6HkfcyhYX0kDNdbrE4I1DSOKvEOEJ+6Dm8Uxb2iPtjSdPsN8pMqmzIkkTYnet+R21tktLfl96OsgPHBHECx02Q5sa50B1d+bWiQGdpxBWDOHVkMEHEEL7+vXVV6+3uLEXROw+yb9RymLRun/Cttsc69Mnq6kRKruLN0dE+edzhFyQDTBhEKDOmSEfG6gFIL9kmx7MHAGF/ZDUY5NZiVZnR2z9ldnh1hVoCenS1yMf2hnAw6m2RRKQvGbmVOZ8+0k/liTXB5it322ZNVeDIswXiIm3C2ik3LGcghykIb95N6Jj1teYXJ+qWhM7RC8UvHiKqcvmvzhYzTRTIiZzWhDSgiCPZnxDEx5CccD8D/8ff/s2+U1Z1ifVvtRcdI0Dg3Qpv2v4vV1ZbBdrnaReO9kEPGbZwP2W6F18V6HceJPM5Xw08gyPXF81u8z41ijRFI76VvYThpoDLaWno8C38EfMBmN/VZ+ipvGvbJyjx7cSsGG4Hciq5743gHM5svURmhCPgditFsMXXRHV1xya66a5FIEmZbiY/pxZbgrE86C0Zp/W/TVRkYIhd0D6bNwURQGe4tCC/S7RR5J0G/zwV6lNaNr0fzarPLr1zf5t6yJ4OHaWcvocLbm/krJKEAV5MSWZpkmw30hGhsYMS+KG+gk49q0Xk+ZjeuDDMFwGc71lwCK89NK+CyGQobHH3R+wluQ0Tsjcs9VIar9GfN+HNxfxMcIuWpNyGo8Pjktv/G8HGMUnrgBLktHDn5hXL+y31gcI8zhv0Z0TrsugnP6AFecf+O+wndF/dhVeoxwk1g1uGFdtdYVOBaxatEvacoEXV5AQaLbhxD2YwHynFgV3hrqII5kssvz1KgQzoAr8BlQ5Zj7Sj3wVOCk3MhYuRs5XXRQwYcDhQhKiMphYekjG4ZtT9llRq5LJkvXoGlCaX6Pvt+7/c575k/74PBEDoiMca4QN0tOXl6B4udnE/tLHTfZsbi1qDOqoFmsUQ+Vh+K1bzRIJki+aAQuZyHH1ljsXT4HzyoDaaqrUi3zuCr2FWOwm4sqhs62l/99Xrq9av+9uqvX8/r6SqnJle9/KtT42s5/l3SzL539Nb3zJ/f799nvt8zBwvNYHb8XKwkzR7WY+WPUWVV6+t5XYRP9/tlv6HdaXagVeBG8qEPCkPZQauEWa10dkaNmcob5UaGITW01aEivSHGxSViUuDV4sPGV1FsFLZaX/23frlHbZ8zXg3qdCI/VkZ4jsnf0DlNhyrkhET59ayrwVB6aB0jrgTaCqo9muUwi1BHy6bz0w0FiTZCwQoPexuQcxi1VFVVgoGi5EPi9qyIJTS4T9OCxdlhkbHir8efLQjSma5e7dvNYj10JppVMXtfQufDWIsiU1wXdt1IunAVEMZUMgYJNl10fmjiI9MrOd2URELrBqooO8pddE463E5LxFM27VKxpK0BzWY54RZYsgfbwWPdu965DAxqQgKaJfJ7U+l8FuMjtcyBmxMTtzHyn6E3ZxpstxpYPgo08HDrv2FBSu7ZmZG1VB9ewy5rIYnxisFtvaWRpRla9rECZquN8RqOvVCbT6diHNd2zZQsqsgpSFTWG3/QQyAf8NPxrK+IuxIq6omVI6gtfnbP7/c9QBOCMxthDGTsb4pNexGs1cWw87IxPZ2nIJNjo62PWz1dQTAmSYJV5DQTclG8TKUDc8lNraJcQHkxhUlVtxDeghIc32ozs8zD6j3zXnwfry3R2bMDss7YlyuwJGQ+ZaZUbB4N2YgCaOvV7r0rRZKqLZJTW0LKNFlektGRuliyMbF04KnHQ8EN8kaQzChEmJqrvBT6iO8J16WoNyI9ifzQZnTrezHuyDwhG/qFfA+8Vcq/yfINkf/j7//e17ZlSspLun/imxIN+vN0dYOop2G00uhYJWtIRON2KPfGGMEu7JgJcW9YPvBN8RC9Ucl/gLXgEP4GbgU/JlrA2Sq5aQUv4u57kVyD0mWmowa2jGIHmLVosDKQOVXPf6XSBSVJx+egv0fegI5oovCB57Eo9pQyuvi8Ypo+RR/KukK0vTgkvE2CnudKjdpECxlsA7CPhSNXf5vx0ZYJQvlZCud3u2v2Snj4yJc9bajtWWZmWNB9JEnecOJAJYGRtbOgDlfb3Te74TYHuvK/CTHgJJLs2PHB7i99J01kkjJSAuPo6cLvRbno9cVUbm9bVJb32UniSYFsOEvaEqDK3HvzkurOazRAT0vphx/DKy3nUW+ChwTQYIxCqoZhstn++hKOWDWFXvv15j4iuwN2rZDinU/zL8TjB75nnizcoUgE7Bq7F4lN1VMhIU0Ot4RuK22qoOkCiZng7nRy2E9F+EidP0owZNiL4oLgLBnAPhEU5hU+jI08stJzFkFHs5PD65JTzMrm0qOp9TFJ+dQ0+mVDKfJIgNgHCHc2IyerIs2iB7KgWzBYcblYGed5/Tnnz3l/v9/v3/rG0XGru+OiC9YuH3eEfrkxdu+PRvE87Vl3nw4u3BFqQb4IeclhR9faqAXbU5B3PZTkGCVTZ6qRd5mYWlexVaPBetECsHc5N9nDaRCo4r6XVc+r8Xq2H309r19fr9evfgoovrqr9ZDVBceqHs6ePXqP3mfP+/z5c/4M3gezO7vryo/ZRfmYRGBSrNBt6JnVTzmnn2bUbuwFPsQgKmJAYB2kix1mK52DK7TgDma8Pos5Y4jdTUwopKvEcgbd003iKfAXH/aL3U+9XuzWgydhJcX+qgfP8lBltlNyYkaR0u7ZqIvdM1lfOPIaEDP66jawoO66faNi91QAP/IZooD3jjfgWSAYWaISR+0qwF7gMWRZtZAXZIJeyh0jM25TZbcaWrVeeei5jFKOL2GtWZAPxNpBNTJTnVYdyMJZ96EI0MZ72hZ50+d5DQaW7UeyEVJ3R44SDCy3jpO4P8A2gUGSNMwMzzU8++lZS4qwibxAuAtzHYjPsFZ4JSoDV9csTLxtlgWiduchkzrgPxtFYTlpiQHErgxKDms18VE/2SOCAfO4zCVdR4W21eNQUvdvA149gkUcjkdHTj+jEqpzOXGb5jrdfoR+uiKEWqntQv1XTAWG7E0Fe4XSYLmhfj/1DuX82HJZ4vW7Xee0W9KwDpBuea1LOd/31fF3HjJ9+Kd6QhudZhxpbkps8UqFcAKMqSrLKXNZ77VNjfXXKy7LHkUst/WxwdqtROdZhVr3k4SLCRUMHAD1tgNPTEKpozbdYdbNhAXJj/6QhXWk0ZI6Af1GgPjWzGJm5mBV5xztkbjw3hJkDDBWy+tiMd/volVVjnrr9u5iGmqoa3vIKVAFqra7eJXq0ogiynLKKtKDJT9Qqvg0XMzTXaxAFJ0fDFmq57GIng8cJ+5wjc8AD2cMeSdbCLDkfrqVK0hZpQSg+D/+69/5ETcQYL3cfxsU4R2NaDys7ANyRwKQFV1Ra7fCO+IKCqAUbAAFOLIQgXvX5ragxA+T0m8VIDXurwJxl9+iS225pbaUBvZvS2sZXPIkr669cIeE1K7cTt9kY46j+IGIYP/lOezTadMtWZtqIaGz7Hv4JUCUWEvi/SkNKlo0m552V9Vlga1Q0WLBzXNFXGog6oICfgw91EB3KMO287fMhy4jMCdpNZkytcCrf0n6SeYegXu3/yCWBFzdl/ryjYjSl9GxGNLKW2+AF55M2bHx6E74njwz1KbThbX8/lgeo1OIo2c1uxxLlJF90kWkC15qo/VDY0eEiWE0AcZs7lYVa2KCTQjhkX5YhWRwG+BfwPQu7jhXn6X3LoSRci0XfArHvZAIjPcqTyQgDpXfi7rrUvCmoiSgNvL30k591LjhH2jBH4Eaoek17PmbKKirDVK6mskQqZYWHHrtsXGkOzrjM2kAiaLOazlgLyfYWqoU1hRQWRmgS5X4n5pNd8gHXwViu9ufxt/l5sQU4GrykWnhMw+z6YYjaMuiCqOtyA3850xl8ZytLkAzY31SCPxJuoYnJS2KFZ8ANKM5837P//N7d885PDuwlclthJmv4Kw7Bbsov8/bhqbdMrzY0tE9ptmo9QrzbjwsNRwn0ok8SW+ZdMZ14xA7KsZygksCgRt1b0ZNLtIexr6HonV/YNVTfD39PHy6+HjzCsntF9XEqf2zf+18n50zBu60OKPzHtUi4gVPn14JW0vxuVpgVuOaxopNJ/52OdzCDazN72UbIupmlrfhw6LJp5n1TtydBXje563dMT4PwVV82r3SPTQKrRb1FPDV+G//rX999dffurqfUqH5dFvZ1v1qags6YO1K0lredw1QnnZH3nEfq7e50/IwB6jUPi0NGlFaTdLwwxI9+qytRcQlWwfrLUimwpZeveu3UsVa6MEWm/WvSI0+wYp5cbXItnfTWijRJjocxyFQ+/YWOhcObFm07d3IWmCpx5v1KO/CpWykV9kXBDn2pxi32Sw6V70IOXHa0h5DwK7G8Jb1xOUqU53T7IhUANnKk0MkEYPa9WSc3ZKVGjhP9SKwks+DnGm6EEz+36jo+7LSWqjlTVPrgjJZFAou8BikYtHD7ZrMdODsCmZzChtQArBqLJDIFNrXMlUnRzgQabJ9px0Jn88D90Cr5U3+ybvlQ2m3CrtrsANA4VlM5BqlUsIzqB/ZEiL0wMq71McJuuRqsqi+hTAVuIOc4EmN2cUjT2tuPtwRRDQMGG7PIeit9pEw2ffkWcnsqK1HaQORgX0AAW0M1TkmyiY9qMZzpNz7QBPhElDIjun8y3KjiC42bb77OE878wM9uIxMYs/TkrE68U2NRK/WBQytr2CmO/05u4PRzltvyxIPj+El7HhpwIkaRZwMzT7YrP6fpkFOv9bELupVxqexBhkJ3phDj9GMDzpCHqSGEsLahoj+qod4CvU8XF/Lxda7vu8mCyr6hF2pVBYh3xEAY1axYiwUXsBRljTBj4m4nA4pbVvy//ivf1/iUUlTcdkk+99nlm+FG9anC5xyspzELtxe6QMtFy+DYv7CMWRAhEzhKnwu7s3H4J0EbLXzQEUGRvIvW01+p/MdLv3DEu0mREggGwo8yj+aDbIkt0EefCyp8QGRwAJ3wxlJPcAsBwQSqS5szB+gY5SvFPOmgCGY+9YtJ57QldFCFrWeK7KiGWNonUi3cHHyMI0QQAwD5rK5+iD0WskoF3lza9pzsSkoFVsa0zuES/dV5DGu5I3uHtVdi02yh4RqJdvH1IdPtgayh1pQtS9PRoPUubpw9gUodBF/c5KxwDC7rywl92PrZ2kDTbglV/luWMNqXYuP2sLzMFqUUrbPefKmrKmsKyV3uXGqwOWGPgn5uNj2grVx2PujmPsN0BxbKOkW7/LMaZQTNSFMOnt/eguGPG/ooiV+JJnkpduDxdM3m/3PnvhYLqkAaS6t+QIRZaq6fTybYvJjXmFWcL0AoAZqBwlnUveLe+Pk0qXr82lUxmmaFfQom0aMSC3Fry6JaM86nNq7MTpWrs3025Sa9GpzYatqJ1lvyDO2ACtW0yXMdmtWWr03tPuDj4YsgWdVlQjCzYA6AGeP+M/f3+fs9+/3ezFnlMwttdXF1a5BChQ5f9ldS9awaqz1psWMgwM3xoOiV56j2XT+Kb1H7VpOaLFryBanOphz0kPMp+2he/OCDxwJDPKp2WyJINnN4vTzeoB66JWLC5Dd3IN9v+f8NX/2zxkBfiJ2N0qkvcQYSPEYfKaqaqAmRRuaHrtLqGrr8rkQjjJue3Qy09MC0ODs3L8uWac+PrF2a3mwPKMzydQxJuRYjAUeD3tp2pJK/kD/x397/cf/+W//9qu6n6qQ3uUTw5DLCOK71Kti2dziQMDZZWFPpHurtd5AarkAyokI8kOWj7A4DEhU107vDv/G1Ti7Gljv5ljHgZSgGkPjrMaqHF9DFmLKCRouWE9STF8nqyXtEnNvlUml6I03/uipJb1YTfqakwWelOQUX2uPZXoqprDtKvcFom+XT9698SwtbUwuGafThrs/pEoFJb1R9JozxWanGsPqsZrqApEJIc7Zs0UO+rYD27YxGwwAvbPmk9AbnNutzSJoRI3F8Ko1g0RYPpwdHoRQvUosUFQUhoUVQAFwD0o2VuVQWKMQ153rMr8pW/qAazmM/ZmCxl3NPdw7nNnEMaShcLVcxwl8Bn/9hCxnZJhN1EmTx2lIsPr64iquOJC87m0/tau2PjJ/JxMgvMoGLjYQwV5MWJlgENAITe9z4IRSrqRuOt0BvdzEKQoqPrAv2Ww2DPK4eygs9IBozIkAxJdrgcbM1hWbxDy9tZzkXbPIA1C6L6GulshLfF1v/UUTw2+MWbmtlWhmIJnjuBM/1VvYWT/XM4kJMm4ws0vtYKSZ3WN4T8fKERaEF+mwpdxJZm2LPiGAN7vGACNG3mxLjgrc2tXTvGtivWFbPg8h1KueB0089TyFu5nUPsJZMev/dozNjvbhwonPFuCtSLw1V5MGhDm/EZFdjkFi0A2Axf/+X//u/vEic/Fd+kXhbULZbB9wXj1Nu1+hSE8c7xXIOJ37kjZHiHcGLWAZIieRhcx7jJwdAAq9kOOlghDSrkh3aZatsry0yiG1cj4FFmisKOmpYHLXmey+dqj24tauQNkExcl63qjF5VFlk7m/yC6EPJ3ZFeRr5a1YIoS9Hi+B4tZthtapOmtJpdylFj8oPq/yaROAFv0KMyibX1Khh1to2pzhP3GRTFpaaztPG/CqAVjWnni/SnaPxEDjrfWoqW331WHC8usVxQBBRzenh2CkLB0VCdReARZSywgAQnLKmANNDln42pL5uvsErH7Epx+0zr2mrKL1C0nf6Cp1VzWw+zyvQjxqIrjdnPs6gg1rujlehmQiX0R5ikFiEQS1YbaJsgptfNwVfJ+71GPtI1lAKCIQjXBp/rjvzSUZoQb8vppGZnRwGy1Vao/FBpuvHqToPiOfcqOulxt1w5dt8+PGNcTkM1yNEqEWzqU3fDyEePGmUvp4sTQY/Hxh2G8T8iJLHvxxhyCXz0OWNrC+Gf9KdFYKp5k4T7vOOAHBOEt6cPJhmVa50HhqRnJuwjrq07Z6fwXaMdmdCZLGiqwmscNNxZo92veZ93v+vN+/v4fWbY+XSbnC0UYNdyvn4Pu9B4eTiXSxgsRH2h1Pn/8/qv5ty5IkNxJERQDzyKwbV1eT/P+PnBkWw7cCch5E1LwOuZrVlRnhvreZXgC5gQaafKxUO7STsL4TJk2PNWCektf07E/j53dfG9Vyi38VvRUNZ7m+3A/rCyM8JGafP77Y9UB4HINFLil9dr/POR/sfpAgP972WwB4RX8W6YVBdx+zxd6uZulB81kbSa0ridsAXCPUZPDhW8IY3gQEDNW3fkzNewyOzY72LADM8ZHsUrUa1gX4fOlDPNq//uXXP//5x1//6K/nqUznniuedTOg2Zz+boG1Gml2tUa0vMedtV2LWRBnYTTNA0kN4FqJrU3tSbMDQlcDYZzkBjYoT/HfjjPJBgSwS5hmT7lR8WDVpz1J1wNuC9YxW6u6rZaNt77XfdzXYB9gZ7dKUJfTdbRz0A3trKUSNxz6ntbhz4K4cX3i/xvj5EXviSlRPQSaE0U94scZ6DSCbrPczX7Bv80js7JqFKt9UTNTeFabClfKJYBc2mAVZ4KqMpHbOU79p4KirrN63Yq6qWcFjRaVaIdYqGW1h//6ZSBTsS/wOMTPDSRHelgLZZ4AtWtVlMVFc5xajcm8Mi+ZtfbYMSYtnZADe+U+Rv4z5dD59qGYdJsZv7DwhD8Qn/XWO4tCTQ3Gn/9Nfs8rvjg9YZoC5aycIGjPQHif1m1s+JOk5H9awMhaYgQVNKCZQGRLbJ1YI7iE8x9Wu1YSCrU6QpVfc+DUdIGruoswYacEB0co7PuozCA+0UESSJLwz1yIQNmxaMuDc5d7qcpQDCwzOutFUhA76J3JtIW4jRWai9FiPX9uM4hNru92d3Sg3Z3DmTPCWAAgPe3W399ezr0Q2F02j+RBPhetP/btNHi0zm4R1FsHMgLvOs/rddnJEHq4TydpolD9YOQSjSBnhQvNWWhXu2PWdiV7D10hadwramE7gmFE7hlUSNsV//lf/2Bkdl4GhGM9nHwScYrLmCoPmrmL2RCJ4P7C2x0/llAGAn09C5FTo4grBBNB2WufqjHVYUiiILVWXVqx7iPIiQnaC9gzppjSTwXqdJbblUTvSyVYUrd6h3VJvn3FZJYTbcElr4bFSC9IOu5QULv8r5wZN7ES1ofn+627Xm2QFZfi4K1y0zTC8CqCshQ4Vw1k3poxw8h6lvBMGVF0M6F5te6WvFLcLpbTVX0gtt8ZgkEiihC3osZgZ29L5sDSdaQfruLML2+hnhqKde3HQXJdk4X8USZgWJuWAwHpXkwaU5BnyuZlGX5SOrH0N2EgsMjQrcRFP89T0FNFeDKoz/60uVHcWpnITOc1QdiECwHckRReGIpgHsRjgmM0dGqZn79c8iV84u3RXPPe70SJfKQRvUD8juwqz1etlfhQc+dUMJKkhFEo3/yGEjQsjoxiSGQ9XcpFBDiCLerncFlJV82eOoCor/TivqdRaCOjKUovie2u/bL/91e6zCcVzRWYCXJCvgTd9LJG8ExxXF+tzFb5W9kRFPbEOgLqAdary5tv/LCsKs1EAfhY+iJtYTl74EfsWcxCmf9qaLQfHen3HDm1cGFMoW6WcjKzuBp9f8+Z/cx+Rlr7AzQWjM6mssxGB3qpJgmqHwLVghUy9+KdZdNTxM+I65XO8Nr3aMDW83gxPk2BzBitqS4FdamH7KchPQ8X1MRgcKA5H02d/RgI9yVLkLQ8/FXfGbNZVdjPKj5olJ4HXXzQK6rFFT1SC95NhNAP9rxGEsskcr6lmXHeMHaBHTkSF0cHu5hZcssGYfkezTEhCqVHX+cvv3795z/++ve/dj0qEN3tnrVBPaxLp0hQ7UPM2v8twlPhIlMaeznF/PNe7coYgH7OcuNr8KqA01S85B3/Z8yrgMoey5/wj62czc5V8+lqTsCJdgD51b3zLrVssurekTB2K+3OoqpqNTfC7bKM8QNhkyIhi4m83jlE5GPmimXmIbiSwMgpbNw34RTxCKMzySPV9vKUam/+rSQszljbXSNj9IY5fP3qvSCdXO+brXYULFTIZDPFsBjXBN2DvvoU5w+5mPShIOGOzHUEhGpLnnnK0e1x8CYfAzOoWuMZ7idQtzFiClV/fiWFQ0Hddone+Haw40DN3UwSMtJja5bDfF0/8OyrPkibiJ/G5h4DVxhlSD7SJ9eEa8HwZgdkHKNIzEWLPGYjrCi8yoRk1uV5J78JIno1VxZkUMbkgLcZjPhYd2Nxq3/M/bBpFg2vEnsnb5vZJBGTBun+K/3d2MP7b8FDQR8Cc3Cl9XiD8Xlk/nf1Aeh5mcTFJ3dXpV6jCqkTTIgwjWsIyS518xUfEKy+Lxw4nAdlCtAOYQASd+LsWCA8DGVFGU6v9H3GffZ8zgbeTG6SroKptm5YJk04bZBQhISCim1BgQuquVZ/umAHa5vUmAQBIDWBpx6r5nqKhS6M2CRwJydJ5T78Gtk8LOHOYYniQE5mElC7U0WloEsxyv/7X393tVEku/vfVlSpSJtf7QxR1dWCWU54NQ45e8plXZTxuvINAtDYmKmwshmTxFTfuu+3eVchcBsXl/8pTnlLO5eaGyjBr9J+PKnheXfGavC6fnNlec3aFmEg36vDtU3cMUkof2GS2/Lg0ovJnKIbGf+wW+3jVlLBQK5h2aZA16ROIK07Y8D1aATEuPLtq5tD2v5MlXUt7mRVR9Smhr0lhfEH81IVuNVtjtIcXWz+RYxoFcgGmFRs5a6obAR/eyBD7QQ0ROA8O0uc/d2vucvVe6ysuMVe0IIqLxdjFy6izP7WrY/S1WRoxBrJjBuh9Lhj9eAkiOUvakjdSGrWRjHSMidP5ABGutErYAoM68PaNGukEwJmE5ECGgTxIqZ6sRfUoWzVMb5jQ6JVMZCbG8H6kFzArvloFs+kiRO8SSwqS96dHcrKzfeABi3BKy27eXsqM8zuObbXwVt3ATPKMdTAQtToCtGFtarBnYfzWtIwC9YTMnefqYX8Wy/Igf0b9XDN3KUXwuJuR/5sQL8y6yKsZKp0bVKhpm7no2thDvSIGm8j8qsKnEJ/sP534QQXJPoKSbW1PBvscOKwzjXltR5Otr96v/V95nO+fw8+H32+d7Gf32cvIQVjfI3S4/wtt/LRpuYVXRFW1DdFQStxGo97K3+j282g0GxEkhygHQfevx4+yQcuF8VuRdDv+UQZJnPmrKizFpsXsM70y0C93FxVYVBN85J4mg/IQndZkkE6bWPvx/Q+9l71bX1h9CCRdp4E/Z38MwuPeb7HSOk1HCrwiy/khna7//L1x/d//+0ff/vH01/88iJpPig1pOuAsejb4EyxFp/FjMUfEV8kC0EE90A4uxZx79xrv8rRn+ZKqoR7Xe6QRLgSAnoypVm0ZgVGxl1B3sIqt4rKk2YdlI7Q24AiZRfJHnOHF72SjE9u9i9gTYqitBl4yt/WwAoeOw9uye8alB0mxiVZbaMy+YDUomOxjBjFwQ0SZDeMN8MeoSR7/yWjIXoBecADzzauwdW45YNSmyiSiHScPlx4kTbhwJpi3KkvqcktMCq9mfQmAGsFVmh7h2ldjtIAhdd1rptdRr4cpML6So+rqVdmWfA0JLlVP4tCGisQOIIBRR9yW7L8iBZ3rJLB6EvTQItgXuI2kKCtnO69dE3YEYD4A8LllEPo8GpL8eKAz2r3+mLv6vELJDRFnrFA08yUkZIcxO6aLS90m3HDmNxZFW+D4JsJNxlKHsPg0WYGtjoO4q6o4pgtf6UVuytV01mB7iwQjtIGUu1IFi5AmhAjkfasC2sUPLGX8coJ/DGOWrtJzLK8ImC6sZuQ+nEFRz6ublkq8rg4khuXzejnuZrzPI+gZ1IXIU2BGkNJi10dnLOjiSZTKmB2wISfOC3G9mxv0RS0phdRr8F7gUpEBChsK2NFc3iYZRVoy/CjhuWmvlCqvYq+LPEpn6UZ74xaHgvQ92o5jHV4OHOO/xTTEMX//O9/rFCoBtku7cx+bjnnwm5dBrN2X0qPtbbGRkqdjeDKL8Trsqb+rXTG+wdvTduPc6zzBZj10lh3PKH0/INcp61MlidTIeLwnzD2gJi+NdccNlP0iAeAU6d9NMKqLuKa+Fwqy8x2kt+LsR0wPZBP/RjmXJ90xOluT164h68tla4+Ip2jyg2DH601yfcESEkOwW4xnwnJY5D1jaFTcLvGSfVrmBZF8jXdAVX0BKlo/i262VQm/ktvDhID3Pm6VXsbEbwtbNCXlWvHe9PlbvLuJ/ZyU2wkdDLuIi2TQErtsdwspNiNps/tFFFYAGzTJwIYCkgknw5GRJQ4BVRKBaAMg1WQpHVKS4xjMDGyidseP7wNsumzxcT3q9r0keAZt1fQWLK9EVAacP/Jlfj0xdIDWBju9URP5ubwhdxRHTYfMbE3Zd/xehx6RDlJRaug+m64i/kVcK2n99RRtVPRu8TylF8QiZ8FQ98ZzZdHvh5ugk4dnLM/DEK+HvK7icYu6kCNgFyvDZq4aPzdDelEZ29L1luoAtejDdeqDuX8NNxVQJRNJqt6L8fzlNmIXiwGS7XJiIsMjPzJB8BxoJmViFo+XetUhAczhEb649djR9XM+d+jz/f512d/n7Pf+/29nz2FmtUROnlw0JHq0m6+9ConV4OIKGb8ghOVbzmVFmShqjnchwTw4CmuSVrHQltnlHw7lK+cjfXrjumdFbDics6kL/T80XjmarDMWKfHF4locSzZqG50O0cLRB1bsP3ajPhATX7WC6VX417Ntut9X/hIQCLsx70VNBhPor6p6qADBGm61Ir7P379+X/+tv/4xz/+eFi1/fVFqKu/SoeDJfRIkRK/TJPzdo3TzQBtgtnlaaXoX3+ueyYvPRsU6MT1pUOtF2jBbRGrgioA4zf7gONuYnOOWVQOdBLRgxJexYaJzA4qIpbmQzxaDMbw0s6E16OdhEb/az9zB2WSoPL41smQG70OALyUToYcxrEGMmCVASjZY2J2GK+DdDw58ZxZ3KgFm9I80yfBIz5WYBTD1VqrAmTj+DpxCmHRC/ztOnPtm/f2HeTz4nYkGbUn4MYq5+LMQS1dRJv3bn2wJsp5z2cv2PRvbgTayyQEfw4wH96LwAv5NHcyyszYYORZL5lj5nh4pNRQSgbtIu4QozlJJZHEcgYU9AOILap0dJWv7vC0WDR7KcwCAf0dN+wrRTqowlqHY1Mz7UdoFOLKHnfmaS9LRI2iQi08ohAhaXBGDNZAFOh15fIlIz3uezCIBYBiXUrSxKzIB/RvcSH/M9qNwRYzLA6yuHavBmHNng3FkCTGEYw+2YNk3G72MtkQmGJQbJqF4z7MR0xYM1L6EMsti4D8tEVfNoN9CqbdlQatpM+iSoa4nX1qjm8T/rXGclYStOkUBey7opXfHE4gqC+xJRxzeulg3bcN0W5F0sLn/l5s47FSkw6EwANWTBn9NEfbXbLpRlwcf5Vdq+ZtGTXOydsXzw879c//+rtPtyclt0mg8gON2a66WmVhzMXEiWS15vDUwgeF81rCQQSQLLqhKlzMZ4OKeKCYkSI/sYEqLCwNq1/U7Z6B9NRpiGVx5IujMkdaNqz5hrVnee8p7C3k3v+2wY4WM8iJLVJXwZxc+IBerpKih8l2EGm7Y5hjXuBfxIOLHZcHbtwqYVX140uyN3ZB7qb7QxQ/TKZyxxCPAP/BVEK8M3CsLnlxj08ftu7inDqTFCVALSKTKWfrKYxFFkhLBTq5wFkSyCkit5aky6qKsVdrH8UL3WOhZlMzaGv9IYkJRtr0iqnrFkKhfS0ZVgMrzrSsEwPt5blNlWC5oiVpqnTw7rfktEyZcrWuviz7oexoQnsbpG8ylUbyEgJAw1+KWUnampraQmF9Bl4QbtLk1U1hQI7h2rL6ShZjXsW04sxw80ir6JPXG7YGsVDwYiWQQb5bmpiauKpo/LxuZymZRFql5wK44GNxEclkjdEgFEF1llT+bBqZrDItmZnkhmN8ETcxl1C0EEmadEoorgKCuCgnKi6iwyIMSjo44AZ5XffenSMMsEIFNpxz0Er2jOgKbuvbu7odZ5iGtIq7W4vjasxvQBDQ5mnZUU/lwHbQg8kuHGh3Ph99Ruf35/ze/+fz+f7XHs6Oy/oKEgoDOujSBjwDl6rqoNbiFh5pK9LnHcDTFH3KbnVX16MYI81gjA5F5xuLIgU81CYQQUadNvp6Rz4QGJf/VbuA8SH31wnGAvG4h6NK9evLqtN9qiPcM/XlRMw0+ialmFvdPn5Nq4Bd+rUvVOOXT+Bom3tWqjMfD8Yz+llVu/sAayaF+vX03/7617//bf/2l78+Xf0UeYpdZHctObMC+NktRMLjB0lq9khzJKMN8h26q/oxhtPJSm627YWNKDpbx1A5Cs5mGaD49WRjRVat/SJR/YkeXUgEp+WXhmqMaCcHCngQ0tf7DcdBRV1aSsfXwM5YE7Uoy5ag4IULeHxmLoAXuafKcrMRf1XFW629LjTfjD4fC6tyXInJA6C24FJuV0QVR2dHTq2FpK1qp1NDTFevK0pSeabfRtVwhG5X3StTuSnU2MjW23VewNWZMIeiIp8UNsFkKIDgSQpNY6TmfQY+odvT8EKgWz7iiTluKphAPJZ20ZcfV+TElib5jIkYiNAYijQM17RH4KGjU7kMM2kfEzRQze56byjFxQUodJESlL0qVJlGsxXldnQuWKBeHVc5AAajscy6oLVc1EA+xwpMHqOQRYqTcSb8/0dDOUbTt8q5x7NOwgDpEU+2/LiuTqHpJkBpHm0ZS8SvP4+nUeiiXh5Jz/pxYdzaxJIBYQoYZUicIlTBEjVO/bP2KUlFchG0yuCbmE/qlMMHqm+kk8tCQ5J90UzSkLDs3HBX4phakLOKFJrUqn/0WcrCb9HSkFWTZ/XFHtdmcEjK+DL/zKHlaIIxEVk1QMx6nbg0iPhBRGDbQAyrfnA8GT6wmW6JXajZKTgyg/uFrwi84Xzq3upCF+llQoAG9hiT1Ll8zBW5+QUZW5DI//zvf9D7lFTJkX4FqFVVZRFoWnQvCav+jL7cliestZtiKLHDt1Rx8stA5XCotO8gQI/CyRGN4PaUlRp0hc9CGZMh3MgE24oSkHAZNN5iKTbqQvwrmz0908dvzmejgeb05Rv9m2tGA0gX0jN5J17fkG5Yrq8Nn7LKqp8V7Jg2JpAJLn0Ji7x8C05cOLjhoxBvElP+/nTQObnGUvacT/erR13l7yULMxg28maCNZw03gUIExdwyIpNcW29SjwGkVoHxsvlTwKL+3VF368/MI+fky7vnQMAQf61uqJin5B96X+4b7l0px+7SVnPGDSqQ6mak2YWgPUpYO6vra7HCSNSXPg+lo2dglCChOl1XZMLHK627z1gpEmStK7U7uMge48F6wX+DI4SsU618UHjp9vUFqHy4r/tVQcEvoYUbMQ43jnvB7R2btsvUzaXNGsBHuiLLh+u1IDwt26mLRETT+KWyTiq3y8MtPE2zoqu03ocp5Cwy0BH2T1iqq6uGggZ9G67lkUJP1bxfQtsi/u9xdY2hSHLUzJ9RbYHDwQ/cxSa98EXYp9hBFFL9AM/9pCN/Lb6Qyy2EY7UAQXs+NoZ+/MJ7D5Px1Yj2gJ+pWNX4C5hwMaOPme3qNn/+d7f//r863POEXbPqXFhuRs1KSGgWEaCGTwXOWnkPBDhkjkEurmrelTdz6C71GqfL76TdDFSS+BydLof5EzkArBfrfYeamFSUtTwCq3dW5tAc4Jv1Vcb+EdKD29zpW2YV0xsZRD5Zt8LwLBKYzifjmc1/wKpdw+A/QCl8/HRAEcutosZNYq/nv76E3//y5//8bf69cefX0UUxX18B1V8zUfQXKuhrs0c831eTBpydVYNzIBwbj8BLLZRkKYdpeKbsKhltTUvhKKSj7wtLKRW4KLNWV/sSG/aNtjllz27yPGhoM0R2ssYiu8vf86C2XT/zzp71gKaUh0KsMNMGCFtb8XlSPnUhCD/M5+Kd4f7Lr0Z11DOiEC1qIt6GxI+Wi4/Uu0eFkY+myGM2V8KqtUZu1tQbmd9yvOKOyGMlRQu2a3pvtcnsOQTHYQvOsDq/xsKuLGJ0hc8oiC5oHYY9Ca1DwA5lRDQjZ25vVGUPpF+ehBOwrHy3oojp+2khkFOv2xYSVKJx9lHlclDtRoZrZHuezChV9YSyno5uQnOsw7LRAYqEQjH8BlBLtrdNubTOLt8LGoOUmwoWbsGT6CfGgOLJGyG348Vxv1PVEVbqq3FxZluiZ7MbkE3IsbE0Duwql7NgI2cF+JSuGZf2mUW1nsmErpc3NahQ4kL9+I3R+noszVmG3lgtgQvKWOIVrGauXJHMHOVY8esZkxkQeUi9nm4U3T7hssrb8Q2t+Rwn5+CxsvJa9o7xLPZlhE+wLieWE/CBo4Dj+3FPRxv8YPdWWqTKFQvQbN7DVnRGd0Mv6CzMhCOWVpK7Eyw6qZNu0uyqHZ0Z4HGdpwCw+ugtgxDS4MUoiQH0qHAWf7Xf/+H16sNd93eXkUjUgEPhKi6DbfOPVKEe9Kz4nzRGj30BfVvUffur36oAa+Z4I0ZbmRz0FVM+GW9ZGaOMF8+3gruYtJilOlmODJM2FLpIsXhFkOhRRTtJgam6N67D7iEq1aOZPanQ+QMuln9FoXeb6g0SspHv2A/cvi7u1CGJ5p6MMrggjgBze4JLuuL22/shpJi9dUV31+TFVyoDPFS04wtrO4oOrPmh6N7YmIsaRweL9kU4B7kEkb34dS1TXs75uCrMLSI22v3prms1NW7h2hc2ZQDthFBTQ5JiwEkZboEU62atQEOUHVHLgi50RwE40Y/QDUNaY3gPUJgMzIVsDQAeRhB9N2cIqk5emnILWJGnmsRXdid3eCvfpPkfYUZM8p6vtqbtLT3LHGHdv8AkEg7Ok+qDXdc3RVW5ZHNzLUObpz06NWgdQOmlpVBSAXBjk/hymtx12IJw+BjLuaMhaV3E0hxOJLFn7nVsqWLkqPXDD8GzXwd/pY5OeAj8A0vWQCQpR0VynSdgYQCR6MTph7h77tyzRgPsVSdojBW2bsTcQvtft6csVd3ZXal96StepaBiCwDC9rtr2x2X+l+InL3YwPyhkVdc5iCer+/dc6e7/nX+czZc3RGO0qu3B7dZ9vkKEWZt5Vd44MxZw361Z9iDfhHgWSV1flPUcVq38nJIeDsFo1q45ViuAEfitIsuvLOfXLURdyPO+ILdaFg1XYVHq9LAmI3BUUE6Zp5od1A5pedFBJ0DdNrWpj1X/k6FskSjl0hOrqGhQkg5MdM+xRqv7r/46/PP/7jz7//7eurn65Wj4Ry7I+c66lNAyAfyt5Jn+O4VQHKh7gSMLk21lmSLA8AnjXRerlYWw/jMDNaI6oufxrc2zFk1ZYcGYixM2V+zmxV3chQZ3GlGvXlADoByH2yq2gHAV65PcZdCar2mHFf3KcsQI4UqYy9LbUn4VgwdlEZF4V2pRVVKkcI6dYWV1VBPzKSq9l5QI2+gcdAIg19II9oIhIRAlA6eWMLtZu28F4MF/0B3jPtWgZxa8b3RriJQWbFyhizn1oLJwyvWjoeX+Pl5zyxKsFCG9risHDDKHWRanleQrtq8GizzWuRzFVVaol1Q6uOhtqEvrOMy+eZz670g+uD2bfkOsVOchyBkq4j2Ex/9SipNBUXckQwfmtLmjgkd1cQucRD6Nz0b1O8gYsEU/gZNaMREHuKUR2XvbtsePgiLF1xjRVYAZ4e5YqfBlZIy1yDKPIS0avquDQMpCnsgXcOPcpu3xIqXRWYrip+E7sRrE+X1qFXe68O97Aen0CmYhcCQziedAOtjNAwul4pMkkfnQIYJFluk1ydVU5634tVtrUQjhtN1QS1lUokbqgw0YVF5kem/JsqaOt2Yh6WRyjjQGfw8XQaIUJE1S6JAaOgNIEgQhtHb+oRy619CZcuVkw40qVYkaXxqpFZOAKl7rpcW4Uke+lJYrmLegQ9fjYeydkuHh1F110pvW3UqHtHrI/C7HIB5a+GSv3tv1QXKk8R5EcQNNhFYAQ2oqhZG0wcu5X2y8V839VQQS6b+qmQfWHp9sGwDQRcdMKabFnBxZvNgNpxvfa2Qnep+jVa4uI8H1y6QtxSFyNDL1ogdg08gcYRn0m5mfUCEi69pEswYI13Zin6QFbu3AobZFTcE9bK8+8I7mwRtPwzKP51XpYlbtZv+NCqUCJrTnOxj3an2cTuXI7cqHsBqPemuN/eOl5Vxc5uZpoie2uikjJQcD8RjSXjIXZ2unov/hEaJZUSxVOJCk0V/RbWJNbxPXmY0ReluXKzsBS2CfkotvPTuiX6qsUm1jx2rUL0Zj4h4oZIgUmrnQwHptYHo7Qfx+MobmG4AsWdSY01Voax2iXITpZ/qgzry9IJiNW6HkrX6guk3eUbFqO7Vt5O0mkMfoIXcrJ1xUbuzT4HIggmxAKntkw+46aPM0WuezsYsLSI+9Ljpu/Ct0Kq/fKz9WucV6bc29NBrNOXkljv7lz6rgqEdQ4ZaViIF42ckLeXYzQ7Fzyrymr2tVxCBZ1WrSdbSHFKrPsWjyyMF8/5aMYUgk4qZz2f5gzSPvF2bkSVil+rAYfLXw+/mvv1/Drc5ef39//34efz3adnFt2aPUNyJ+/Gez3NbEPJy6cxmtOOaVxrqTv9txdst6RuAE4fEoiJ4wNbTU0GWhmrZCSyZUtmUItplYFqQHpshgrCXw/KIY6Qo0axrK69j1xQNWY1A+ewbL8eWYMNcbbVS7sZZ3MJ2bY5qVLZCS1sEdAD2rRUBfL5o58v/vr6ehpVYms3W2Mdp2Gq7fWXMVF645O4IOemQdy2uwqZwEGPeMuGsja9vAQlso2nMG1TqQWx1hbM200Vb8uZ8VLtWQBq9LYRPhB7VvI/ZBIO3dtP6rvo4g0trpFwuR60gKPE1c4mOEcR7KyLD3flyZbF9qGaKz3F8Zx7XoJviYIpwLWUGTOqyCoXPJ47GW4cwO5o2ynaBHiPdREYaz9cPttz7JhLXjDk8snXv4N21HD5fm0PelCKPHd1CDt5lVhVNCgL8EnvZRUbWM7jDJ3pHNRGW0K6hCw7j3uDnUT+IdjNo3BnFXovlIUrCbdAvE1zi+uBTYri27XxjjEMQLERK5hvpQTYiY9Et/RZoTiOpL5woC7wtLu397kAl5JueGugpIKUy824lrcN11mW4V5cYPca9pG6c60D8LDc3CSxm1pNm9dLH5yuNe6/gqZuVFR2XTo4+mS4PKmLWSfsXLjfeDbWcuS62afKGaxipFIlLltc1xS+xbjpp1MFhNGhcW90Yas1skPKY2xeKgpWoRv+FSfjJHjT8EMyXPmH4ib9QbIKhTugI3FOEKtdSQCL3EbWsNCgp7X+HXAD38WMJGx29VlkuO/uPXC9O4xO6wbcporOwSPt4yBev33E8yMMgbPG/Ooy8DvbBWG4+5t4yvhodXuejyHjMA0ONHkgWnYbmzoEIblmqjSrukjEZXB9PJiOwe3mEDEaVu5BoTcvNIAh6RVfQc69JZGCMb3QOu0hNYB+imYKY0my9/YiIb6MXSBD9cpOwlR/bx3RvKFqzBdzv+j9nWYWr/vXjaenVABLW+Ov0SXDkxBSMmtp5ZVvsQtrcYsbZyGI9se4OmaRersqP+eipdDmdCRMpY9YH6QX2beq4ZZ2HdJvJSYDxZMgPQV+OVCPlkDVAoJ2Nl4xU65LAROeNuW5LyzeziO1h6WyALhrtJZJN3KReqs/trHZYBI5+xbXPq68VQaBdcom7pBgCMokCdwlYsPg/UkF4EHysDx6ssvwwl3gAdANf3mWKQ7hcHObEq+C3+WCZrUeXLPZK0GjJCWRj6AbD5T1LFcIXi+DmnPeORa8oph3wRsD8w3lLiNzdpw3SOlYux/g0PR7GQrzziJ28gu9kEd6ihqonC6Oumpkcc13r5+vQ5VUrTOfZWkGLfMmuyeHwBVQe2jLYNz0aCme24o91FaZpJMMeJXxGPi2P+hOCn62VRRSky7mnvNLlQHQJSuTX0x6Ie2BIZMulbX0sGM3xDlwHeqhWLEYt2vwvAtfwVUZHonUfTjrT8vFKd+qkinl0cQCbm51GzW/fj07+/RT3/0v7P/uLKpXW/X4gB6w+Fk9gv2h3LUv8hgmhk35kEeKj8TVx0OXpNL5oB4fNcbhPIgmzHf1SUS1JVhaqgvlOD4GuWWqESBmUGHBbglkF4vceP5wp0B6f6sk1zvyMZqYF26gIBclOT5BasRGUwmrUAoqjDH+UihgcVHts7ofkXqKv7r+/PX16ws2ydy9gbLeZfc4ewbjYrojY/H+cJogd/vhqMrla3saFiR0a3yCrUgWdurLag1PafIuQaUWA2Ie81psV7mSwkO7UzdzyHiaGzqwOMEGApqBGU2RvAqBJo8AqVZqZEb0wh2w5JQlbCD7fX/frs9rwxNblWpPIC0bqvUVH506QHTQatSWlsTZIbt3lzhYmoZz4bycHpyALVEsDtXOIcfHhfve09jsu9E2WedX6MUYpt3X5ydXdHCjcQo1L1G1zqNlmPIYtwIU7FrYMJ4Dwgu/uGRf1MskSWU6Z29P4euE1GJ3GnfS1WKBx7EBW5bnAg468SlCd8kbLgXAlTIBix1+0X5J1x8pGq6uy6zCLpMLUFo3O9EFBm5JA1omZYOK0AJTvPH95k/sm0qie8BK5zTSQLZLBQERhDZ1cXzjsAjUA8/sQ6qhKQBdLuHMPQ9N61feXPq0R7I27g4Tk25MFuZAbVo/j8EV08s+X77EaECqg001YDEAUlP0BYkJ55+lYmDsgE1q1j25p8bCqhF3dW7nxKTjKciw1UDaBq9EpbRWNge1tn311WcjZgYatbCPopTRexslvrJYlhCWJhDIOYddCWgXJH2B40s58l3N6tjV6yaEmA3hAt9lWBXqKB2ttTQ+bBzDGSuzRuW6GXDDWk5J+ACYJWSdPQ2DF4HqFobFfYAB8yB9lkf2JhtV4YuQ14qelWT422VdwD/cyyDCDleyrwYm5LEhK2tB6K7aLmZFd3dzXlZd1BXrmSVImxdsR9Eq5Z0GMHArfXPML3x66w1q1hXuKNyD1ep1/yTUVVYHpxt3X/g2g7zcYN5FTpyfXMv0obdZ8MI2xrQSHyNlbFIjPNeFqLhD7UvWtTxcHi9w4l5lWhqIYH+Jrd+rttJiOU4pd00eYfT6rURN7VVGAp7lhIawtOUqKi6GcYPjNApu9g3E+EKCrBviT7qArMjmXSA+hrzLk+CRmT6bIADSGUc3J+jCIp6MVrIwsFMkl2BiNiZtczKQEr9Lx/DJBPgyn8cnAsrjZa3a2rCxF5miN5+MuLpxqEhJ74GlHMOea6DsK+Yowy3/wRZUC1SNxgW9+wpDudRZMDPs9DaWNu241WbIQG0EwEZfLO21I70cf1elWceDmk11SStRCSxf4AnLdpvhJvRRPDuWLsaHvpgyFuAHs6OqzticLHBg5MRDhGR0+R95sakyhIJ0m23hvcKSjSgG18p9+bPqqlw+GjQNLk3ZOrC7wkNMyBjvxguU+DDx1bk0rZyB9elC4Tt2Asc71sVpO6yF0+PcGQJTsjmJY9yRUpel6osW+XzO71MfLWrXypCtAm4aAf0VllVxKMRbuU4k9KW402ixxsT/zKon2bAi6kfQvZdE8ohlvGdCeQFobaNuccHaST/Z7VQX3uhGBtdttICnuTIRbKqkZp9+xmztLL5MvG+VX1xd24z1bb52TZKxlqF56snCbsywHOLeJPn14NfX88cf/euPdtQ0LOjIlDVoFp7vElNL5yYwNr1vywEMUQ92qnxCpAKaq82LZMRSj/F41uS6ANNVSI3JsDaBj5RweHAml7GK3eb5OascTDjrWlJz5OGazml6QjUtPrmkeExWpKU3ZXu9m+bQCkoKrD+hu3JQYDsH+e6aIurme5c9hu7BlNN+XoGFAOzBcjzoXYrM2D98zjqf3wfmioWPpptLO3CBeygRom5KpfzH4bu2Dj3KXPDjTKHUsoa61PsGIPvG8rvSLrod3/d2U6+u2SjU+sB0TOK60JXx2rI6FlpUOVnZp/PeU52WcZnPsGTqgnwCLntsksbFgfjOrj7CNmoTtORhF2YcJVf40LKZoAJo3F/absKOSAeZTObb3K/tgjW4XFHMBPCMhnqvYuHauF+aFYr12sH0iWvx+B9xbqBDnnRa66shdEyEqym4I7R8xjTzsmhQxp9VFxjnzZi8+e8jvRofXwCiOG7dgKr3/r2SWcDZd65OouVNSImrjiGuwY2MNKQCeFC3zSA0UIsHe0mOlym0dnEPjBJIIIqHQ1Cjpa+oWWZ29GVu0z7xGk2jDfo3e7FS/fmyG6i9sCpeUWvvbEFtcdGP+d5RvBLKAbDueuje3iGAwti1CxVMoq8bRVGFWc/pwyzkpCNVY8342e7qEuJKwwhl8rqzIYTmf/73391OIbCvb9JiiYWnKvWnT0N3YHW1tSCdfH8FMGEANt0fUiW//8OLnt6qzf2Gl6tVLZTI9jHmGzgXCwKNmYfwajGhD1cb9xus1Kk/KGywIodvZAzOu4vCCoaBcz2fLoy3e4j22qUb09/Iwe2FW6YFmQlWjJdgMk6mNHkGKnihpfTtP3/YJYz5vZxOzHHglVapPZlpn5X8Ijjwo7aVReoy1BMRUlDblhFgyNd7fCHGAJmV4r/MZAno7fGuSTdHcSwPuiSih6rqMrqmYfauHCP2mxMYJTHnsBEuRpcDbDJs0hb4pIGE1q0E0kson8Ud15uJwxdfqkg/NESnZNcVqAMJMjeCAF9BDhxLzNrdFH6HTY7fSd6TgT653EeeOEyD3zPA9zbq+kW2LMK1xML1x8tGMfJad56Wyrmad3Djpj3yWelMkHssI02Dqi0mJGlkllnc6ybRJ+dUvsm9nD2RAhNR4Jy7jHBBh7ToBLYeNzB1JYouukO01tVP3fUcAiTsF7bYGW7o48B8gTEGRtXshDAraGNW9v0XljkmVLvxR5l07r5hUVjLVrJjLumiB5xBfOBKjGKTDl3zil+/S9MkoCvXTc0NEePsfelfH83v7x18dr7Pfn9mRjszy8kVaMLLl57mpgWEYqxyWlXJVpd6AGPzVUWsZ4PYNgSPZ7pEkw0KxmmUVkVlMrBQjscCExKdtstXPTKTli1tP6CLrGIeBUwjRLAy68t4mwmjlYOWJFFt3lG15RlPIXpE4ggPdxxK+vFTzVBVsVq/nv76er6e+stf+i9//vrV3b/U9XjXpWq/ZZWzjO4G9NlND0tygbCYFWs2wl+shPNqPeSbI2gBMMslmmqXMsaQyj6N8vB5w5fWzEMiRteZ4ZbN1J35pBqNVa0FWvbml25u/wpr8g8El1W3l8NFMT1Il9fiiADCASDueI77bwqFR+jHhSBhcZm7howtjP7Yt5vvf/kkYoag7MVPXUkBMBSuHNDynLFEUOROF26NZUrId8KVi6zdN/7ManEWbGPc3gBUV2N30bn/nB/ajrWUnKzq82Nt4zfRe0vOLh9yPgXekzB6LXiCXkDBH2YaC8vBZpdfq4WJWliV7AdvM1iAwV2z6qUiOR7NBVFmlU+WnLF/C58ZW4rJ8atLwsjMHKEMTYkdWcLjrRxGzW/AZ7iC/bphV45LD5dGUNn7YW6/4vp1jW1qzDSkE5Ci2GDYJq9JZFZQJdOMsoEYoN9CGiVfN5sUQ6stbikVoXNoId+yCNkv31gDBypKCnyji1fsuMN12RingX0SIHhDXcq5DSODiLtixmamxPHKrCK17xxJ/0iXisEYU6I5ncpfIg5FN63WWgcJ9l+/kcDBT9/cyZQwFTZRIyd6XAOEG/ChODXaz+zMnjVX6g0IaO+phKRaI7Vufn6wXE2hKJ6dmNyN6gFldT0DeCLaJeD4pzbbjnp2YfF4qJwbFHlWCQloqFboMQatJMTD7fFbcQHHG2xix5FuH51V7JOCrmLh/XATZdMFqmRGbiHPCsVe6a89TgGcg9hv6hKXgT8MSWr2bJG3lXu5gFvpmcsQeuN4zRGRFyq3pf41aji5I6WgUbPZ1ERcZt8sLHyjE8EYbq4cn8ziq/8GKsYfp/T/mxDJ1U1i5p1a2O8/vpwTAFtfQj/vuE7ea5bKljSkqTCwrmbbyyRqQlePr6KdW1VWIphQdmqLT1tdy12aAQW3vBgE08CZsaBS/7t8LvAOwPO9ugpXke5MkGNhvHr8O/KhB/YWFxxkhpHpo74owtv3gawYwdiSSjv30c0exhuByyv5aB1sW1M1EhR6JKos3HMCr1uAIhqw3ZTR3wXW8SAPn1OrKk+8s5jX/8rJzlkg9/MmSNOl6406yK1lqFRalwQMMruBIwJ937hc96mm+VaiAyMM1OWKXohsJUmLlA7YrEk9IpIz65kSb73lPkHcYpv8Yz4hRPVteUXgUtPFnh0BzavtYwl8nVY0cCHLaMPDeI2rqv/dH2ewDE56UEI5IIexK/pzuB8I4F4PoTsUwZCEIBwTMHfbM2H+HjG0PgHiio+mL/2NPeEYsUq7K30+OOdz1o+Q3f3Hzgc8qLgbJ2aEtCGSHDPrXb1boyW6kd7P6rUdosnJdb0CPXB77luvbEZWSOAwje3S8e4gH0XOa15UtQbtiDt35Wzj32XirYi1QrSVA9Eg4RCNBztuBJRoErb8/u9SFYrl0pLgNqKwJBa1s/ctpjDx5d7lsaPaXQ0g2cps7m98sRma98XstGJPSNtcFK9bcYKslUCpdgMtwIpKfd7bwR14wRPois45XKFp8Mx4TqFmneSC9RwNRJZIQIUdo3ILSU9zdBw7MVOslN2yxg++35IDuWCSVeGRACmdrlZUmkyA0MoyFSoifrELS35d9lKSIUILvhZ+MOE1vY9ic98cyzM4u0SfPV0PTNidrchXi7VFYTJzROtfwdeh4+M/LQCrsTmuDI/dEpNyMBBwGuXKrNUi+XT7R/Ph4y+Bt8//Wk5LyJCF5yzwELNP1brpF8S1viTGdFq6WVokqzzdNwOocRHOlBtpGOBsTI8YXAI+KLA4u06UWG2hMNo0cyJo0X/N7Gqv8qCVPacAJmEWgoOYt3XjaghmFsCBQ8oDxFphZ49P5XBlvz53t0vBqI1vKobEEKGZbwM3/PcJpCc1Xe4SOPZKH0n3TivXL/pxxel9nb6EDcJcC6M9EI5bIbF4iFFGO4TckL2i/q1yWeEikrdWTnVhg7dLd/N7Lhqa0nKcvmbVVbqCSGRKXBtriTne475nXayb3eQOncCdPg7QOFzLoLErIJ/ZVLYSJH45hMOdL3x3WKzljKAzaNxxY8deEjfqpkUg1PZqCzPq5gxItmp5RsV7ffpcXevnMHWbi4zVE+584U2KVbl1AwF3H+by/TPFh+5urJCGcKYA/td//R2wHIOrteymiuAWH/uArcdlVZGqdRusi4MugS3yOqaM2sgRfZ3NdF2ivI1M+INVQq5cLalU29la97gPJJiWiy4s/c/t3VFnOTtk5Catp0h3AXflQYvqoHs+kOGCpNafVhs1y/11QegdqVk3p+BkukhQ/Yg43ax4zNS4gZCc4GjLm27RXPdCErfQhonuJrmlVPZo3qnL1QhDopCuAC+guREQfua5DeEC2uWzyemrBg6p6IoqHsxy/wtEwWLsqIrMhHSxijdV3F8hyS+UaZ0E11Rh77hE85CbNvUCuCS27pijKA6U0IGbT1dpRzcYMJxBZj9oVhNp50JIAVIsT0mFC/WxkL8EO0EHznS5OJVbeuD9f0bKqkI/uJEOHFebJgW4enYXJ6Cddv7cqbD8E0qOzbqOQvu0/evMbeOWNvRvNEYWuNVVrXmADtTmZJvo2BP12kHJsxrIRwBmtlG2gC9hZR98eu/ZrJFb5pmqGQEBuSxXcme9A3V0tapOTcF6k1g9sVtBokNsKw1EyoZShumIhjEjY8DCiV1lai08JG7iwN7d6j1cl5XUlQyaEvSWRQ5wwKGj3N0rEdyYpqolR4Mbj13asYrTjjy7DtdVteBP7FsVmnP4/f35nv3exUeyExsL6TMzg+8zc8fSLhdDQiCOu/fL4TYjFPG5xK6nq6gm4PMWeMqr4QWsTH65/yJMwrfxDzXv/ioL7ZyG6yFtrLdqI9r/xf+tzZ4FYov4z5NNjcm5gZwAxWTVxQot0cIlygILZuPqOGBSOprPmoQyLKKvxlf3V9cff/bf/vr1x6+vB9JXFesB6nlIldaKIF/yvoS37StHLX9juFgTXpbMMh87qR+BWMrqr+mB0PNshQKL+vduN2YK6Y1kYBzcdMXOcV+CYNDG8ZXrjldzDEtbCTFaetQ9sDeWW+iX6pMVmGVfElCOkkbKi830d933B7OPK/8Jn1+1mdjpQojmQHDse3CuDOKrcSDELDYTsI0+tHLwF03T+F1K0RWRSFyRjU2+XNWJuw1JHO0REJbOn92VT8IkWUkxc1OdzDRjTVFuwhB3D06hncidRlMI878rPlxMLSkHmezlItK1W0kN171Gwnz1pZ61DEn3BIK9cBn1BCPKzk/zaZ5iASA9b8RjY7T+xr7j4iOsq/CIiNm3BgCOBVLrkVzGxSRBxd5yOim95X0v+3YxlLMFoI3RF3HuOskSe3EZi3CUuBKvgIty+LD2ayfk2AfXqH6NMCKGen5gfotBIn9w/lBkClhNyGEqQF4gIliQYkW0qaPIMhy/w+uvsic+qRPmqTdKHkRhQPFYyM/QBg4ilPKfDx9xVw4q3TcOW/5RbtHQR1PAVnHHoLNzdd36VVXagtRjqiDAAAOxSHrK8xzSBedSj3UUaOBzT0Ik4Feu6hxMsvMN4eiI63cx0M/hsJDdBunPinTUsjNAV0ye5GJ7KQ8zW1R72dlf7fqbFnJV0DA/0Spi+CyqoXS1d3+O48yxYonEeHZqpjJtkFiDZFvb1kYmXtH/3BewrqsC0YpUFgeina7cqv5Z5l1TQ5rB3O26KJgNXBRQ64jhkdgIxHnPiUqKmBiZoNu+eJ+5Sji5e3Es2IMrXXGxkyRrI44udTFa2tc2vvgyI9GVTvLuLFbmm+lZ4hZg4XP9xMVkV/yoR2jM0X62F9G5+cHWCMKf0f0S0xh5h2yKrgV0UFdWot1ikZFSj0wPRYMCAFtLh3ro6qik9Lfkqpq3N/HrNo9nzAQomcQI8y+hyt52XhuDJwvmeHR09wUHBsl09e8Ai2BxPD46dfZmGqMlWONTOl0PFeTRVNSoiqqZgc9OUxiCMvY2ZI0vVAhCdQzKwMrZ7b4vEI2JO0iv04UEldN8N6dCSXDYPpNQmmZBpno0bnTvUeRflscmsFZaspmEUd/G/j+h+cFYDnwKNbl3q1oUhidH4G0V6fmgP8KDhjVlGuXI9a2IgNHlUwhUPXZXLVTVt5OBa36EQwDkxGney111t7nXpb9DXrDrFVWwldQztcTMfrEHs2ALx3kNgSiRtR+M5TZe5tizX5zwAMHqft52d4zAcx0LwqnLvQdZcxhNgYCzo33s8PEwel2xanEzERDQFqQdnDmfM59zvDR086y7bKTRV3rMVeJ0HAOT7DcoYjsBs7E0y6GSrv2+HHYkFGYzgD5WaLry1iSwwm1vHk2ADXOIRSLUNWWQp5zBXxVX9EOl7TQvQmpLnMhv1OCBNMAcY6BbqNokifu/ep/e+ID74gK3Ygt7gmSsry7v1uIjHG2d/f5mk19fdDjTAetztraKX4fArMfXoiTtkVmVGR05O7OEz26Dw+FgR2FfDEx6rxacaFrH1SBUkAbLWTVxiKcwK9N73m37ViR1fxzB9UBTeyhClfRs1IeQurhr3pJtGVV80MjJgzqBZH1CGcDeaHoDQ7lCq+UhyJHH1EXk4f3ollAP70gdz460nE5CJyQGuhn1/u7LgIHZYNZrU8WRiTHdriPX6UrcBrXUaxu1AiBQakSExrgMCuFCM/FVu7fah0QTi3abbwhRKgv/tKxOtYQ1oXKvCeNnUD1+PLW1mpugmHpzZWhrHVv5b+byyKLgGQevPiDwIrAZNbmb+Qwkxa37Wyc5Rw1BG61WpYTP+eQcTxoQJa47wrViiTMT26Xr+GTiGBDFOvlOiIj8By7CrVWTfGgin+68tYiKybIxuOYICSRLiiAQ2j1axz1O2l4wUPetzIytyHWkmw+ZXxb0Si8Q4bOPmYWInsR26AK4FxBIqYL7XbVk65Y7PmT9c4hAU5LIWsOPCT9xv3ZbD0MfK4gfzWMhs3hAYqzMEoKHh+p1yeVpsqYNhZLKTMHU0NcZpQTcVessHvTWCnwI8V6kjtsTS7FBC55JZBoUyXtEg4OxIBUkHlBNLs5WN7a04zkitGBzaSt7bRh13l6aBOBjhXyns2A9T3jjZbNurDRblBEG31M+RgkW/+9//YciTL94uEnkp5KkIpigRZDUKvbleyLANSFV0fa5bEfdLsRQQBqstKvWHAd1lWXJ8v7eZON4Z1SHCXFCjOJ+SZnEyGiQU9cHMtbh+hHDY2edaeuHSN02tihuOTLBZ2/1/TGe2EcLI70bGzWBz4Wbi+4wAlz08Scl5iDZHX0BdksXcs5MXYbLLcbrtfDP91W/qVCAvv5TKIfBTyFnS+1mF0e2g4uL7vUN+i/Zp34fpg+PQkCDLXWGM/HKuxrYXfpF0GiGvy5jHEs5V9EbXmoxIIxT8wq3chdvxkBspJfXKOfz5eWkgdOsiSd3KNVaNXyw+XNka4ToNziXMHyWBQaGhVDwcL9UK36VC2HbuVP0YAHLva9CfxLMQcozNnVFThEnWn4hKSKeHExk6s/gkPfYQ4rUC9SzHiBFkWVCTIRLzn3B5Hm1Fd7b7r8IbJNHtKKbBnDcxLXFHO64BGjLaXRFHXcybtGsGQWbG1GXO1pScbngsk9z+SEXlbHi8TYSgfNmM55hw5C4cYVL6FYKq8h1iUE1rTurrQv0Af7gVZGaM7j3q9gzFFr+WSiXHGjjttFNw9Qy5crNcJ4/tTbrFrGPexY3iHuxlmZp28lmt48Wq/ns79nfn885u8MpcZiQLEXb+z1a8XN2ZldDwZM8tesS+GY4t2RZud051QUQ3fbnPKx99IXe8txtkhv4/S4fFdp6RqsvMsESKKf606dNjoPIFS1PJwl1XQbVNK+wu64bFnV2zvciQdiMP4L8quTt+ksnzMOSB5ZQXZFGzep4+OcgWpldVFXXnw/7ear1NP789fz5x9df/mj7z+guwkYkOopngRomeX+A8300mDlneSzUJyCe9foZ68Ifj41zVl8rCLod4R7CspDOyEWfD6N9QLuhyqhfSCY2RPQ6tMNFrSyYtHMOd9DbTcXPwQfXu0Yum3AIm/ZQqCr/ONGVtGP1ctCGba8uFXCKHbGntpHbuGm8oYqaeAbSD+/aD+GJjgBgVmcsrsp7y4ntFBEYBQsMEg3H5huYQ0axRwsrAtJ7mj+K0oEPNEqcgTEzL5diNwgUnqQ+vL2DQUhTGfYSVvROWDEDG50tZ3YZis+frlU/mjBkcGu/a/bZPI6X5ziNJxYQS1B2IDoawrMvV6vu0svyZIYKEoUBlujqCtrdHfrk3h0DpQgBFQecj5sgSn4PGHdGG0p8iK954Aol7m/wroVbebx4OjbZWNfWWFo1EZTMv0+KM1Mv2gi35eVr1i/L6M4GCsyoqbREuDGXWLsthptIMguIA4QL0Dpg+T7tvAvGe2b0ORCBNZZViFMjqM7ylgUpdyq3lN0f2VLMavIJrn2rjkTWEjsaqgYsjPvGxJHqKpArIFVqFlemARtXpYKPC1C1X+3IqFe/yrcHD/OJhTVK5fdUtXA+1aZGYAknjriCzBIrcD6JsyudgYSPnNYwL/oXit+5RcaPHG7kfiD3olhC5Mq81VTsr9WRiGS3S/znf/2H6+5g87cp/vqylvZtRkmXaF2vzpcvcAuP744wkFihS/Kuudpe12AOr8o5d2G9qEBkHz/yhC+44a/qXxpJJOIzL/8ckIj1KzWMhGbYPa9+06mseL21zpzinUoFYKPWlnDvGwfCRl/jQDXQ8w/z1BErBDE71INEt0GAmn3jJHySG0F3yeJ68N5beRh5Gpeq9HqV7yGLRy/qEzAvh70f8wLKraY7tUY+YUD2YtmkyhdJuemg0sPUj2lbt6mUxXnsW0XBVju7PfdONGT8zynPnGSk6Dik9/BHy7ibO9YAD5dlKP9rVzZWMPgVKmUgkFk7Vd4Lcp/1Q9lRz5tSZB7pTg/kVc9sZBEAbxnkhiIHvGmmXeGJgsoVDtf0OBw8DfGuYKVOYQwpPhXujCFTBhe8taVCbZBKnddT4j2LcEduoQ0/FRfEw0bwOhevHdrL1139LPP62VKwHMuybB8ixmV8EgWjEXmrGBneTM9YS0/TqHvI3ndF0dJ1IkXh+POKcG59J/3PYqVyHtLKlrGrFImqf7aqVYORDYxhr8HFFBuw+rUv7iiS1Q2j5sS95JyGgZsDlydAM6uEeWdfVWlAfGYDBp9RmxmbbO3o6n7sDdKMVt9nzur7937OZ2nIOLhmgICRR3bN4DO7u+dY7Gj645JttBIZKLJ9ZkdRVd1FFqpaV7lneMlRsGWB1+6UutrQQfVTVZECuqLg2u+vItjZd1XUbjtnpG6TB9xgwbVRZOQBZ5xzckighiBOoetx3BBvco1RILjfYrUInT1YDQbQrF5ZgMxo1q8v/nq+vh4Y0Pr19fW3P/k8v8pZGPR6K7kpgj6DUJHAiDrzPZJGq9lafcTmiMSBXQ9LFpuPe1LV1Cm1r02UOgWFs3qE4WiU4AB3+WCuQKHA7pK6bxSB/69PSdf4FaKGgUy93ZzOkZVdqsmYIFur+9bgV7noequcB6isEAcsxVrEtBjBcCqMkFEMeToRK+aiGwFkoaQuDwPMBBvhVeuapGhwFuikNCiXFnIdQSwmsqRRqOs69QEarYjLCmcBqTz7GWh0lcGX6IYDpOVx+HJ0IWDMOk9UmQsFtVaqRdVK9IMs2KigGZpX6LkKSgM1UhNj4h0qcJwQO5wa1PHUBmFukKiicwYd6qtgfT6ijRFEfxItekoXOaLb+o+4LgxYp5gFdGy7l0BjDTZIe66ZlXUBNkwrj7OOYqlx4x+fZxEZZ4QB8W+AhXKRevEqqcFvpRB4HbgkRKp9UUWr+5XrMBWyOzzSgR6SJ7Dija4C55Zghtdeeoy+T9atudmh3Rvip2v8NIW9HgQ5Img73epmBN0y9wcFBuw3X0E6hV7EsYBR8MeMsnIJXZZeGWb1BlKkhi8E5EpAdKDYEr0eSsj7vRmzsWkTBUQ2hLsajpOgggG4SksPZb5WBLU7VkS5H5wVdHZ3S2dOYPlXX+8L2w/sVqO7cr7NbtBZwmVxNJ6uUl39L0N3e65o8akwVbXWvVTe5GibFe2oNcKuATLyp9bSR1yAwkii401yF6cEe9HfIol5G65izApp/1zGX9FFtiCtTI4qFUVrzYD35HBlZ85GnTbhbt683KC/qRMN0hcQ765/iGxYWe89mlE0S1ws69UDHNo457bc4SBu0pkyMsXG0Nq4UOQwxPhmDPl7Mk/dq77uNDrYzWA+FG7itqR6ojbCCmyS44xCRjEeIZa5ngAqsGnA8+4s1QeIdfCBFtU5CLz6HeRQe8tca64MRoiuKGdvuyzdAsrA+KbKWeFhWmufNR75C39QQ47IWHu/+8WgeJea71DD7b5JA0zZkrXhArXJ/cq+sqvGnh8mX6JuanWQIetGeBVyuJ4Cg8XeyBGCEQ76GF/RWM5PBpVpRcN6iN/F/YiCYt3Yy2KM2dmNltdJ6g6ZMy7OtHYfVnvPQbva7raO3yhj5CVetbOEE8VzQIg7XG51E5gxvSo9iOX1h5B2cVstSRinJC47WHsgo+v7fjX7wFaX50dcOd87n9SklmPKUG9bs2W2rIVBfADLhxCW7dwg//8E7KStIqd9Yg1Bk0yeU0k3lIimrYTVe+YKpq8q13JcHrmGvFpdtTNMcfVTVlEUG6uPDpzDuDu7ghyLZPapqCKKj7BbVU5WychPPxL/ZBTTuHw4pT1wFK/h//f6gY6fGhM2ZNa4ZsePlSpLuFOKWFMF9GqZiT2inLFYUEPLqoUlFl3c6jLJxiwsEhhuw2NiFuK4N5HEHWmO3PavsJjxpio9GGcTmhl2AWStauQAu3c28g24sK/NibEmG6EVZw/nqxo1++H8v/+qru/+9VX7MaFsPUaVLQn5D0YUypE0lK33xzLW7SAF6ekYUQymhIPxnsLW1Fzbu8Tkl/Mh5IGKAs+oNcfnwAfoD4WH/PryOMqH2Ghdipp9kIPCGKgvg6I+4Vv8u+cC3R2QyyLsuNoQWN7aErcTptPAKTAO05oxjgligkE2FIXevHDQlZdgzbIZoIlEytFfHh9hUMXHt6ueavMMVbcC0eWtDQaUVsLaQR+sM7ezuyKr2dEqNopEsxz1DB1OBXIO1W4vVREbz1YpmDdoZmZhjcDAbY2xOe7s6pTIdoM/I9gY8EaQaTJGMIo8CMSe8lGVzLAUlZGWI7GRhp9YmSrCO7Zldtg3MwYhgSJHYWSLBrkyzCK0MpsaZ9yYfupmpkHaueuKQsxA55Ux0ACIpK7Tw0+yoJ0EejstG+tAHSL/nGvVRQGx8BtVxP2Zud1lqEqj2K5+TF32zK4hw0Vk/Ea57gnPuIIDiytczDpsxk2B0noUjYGujzEBTZ0A+U4xF4kRMrecCLZIcIBkehiF2yHLOgBmL798uIm6FSwxcDanrjrWZpriBS9yylO0C41U4anGjpUAdIZGOigIN5TYbE8CAhySf/EO0zFIQe6cjoXY/NoSZrKlMN76u6h6lsJH1lUY2Np1zJtF33Iwb3AGt3PUurCstNR0JhoxYuMmscp/8cm/z6UKXCGWbl4cveBqJT/fkboeD5ViaAavScsGf5iAFG1uUi5dnD1mBcT268APWOf7mT7IvdKa9hUV7+1G1ZId+aH5hp7aCuzn/3VxLb7eqTUmbiTexWqn5UgRCrFWaGgAl9q7ruiQRESX55s2R2lrlEd6s439b5LlSfcI/lbpdnRbYteo1xubOwjc1Lt7OdfiVRLFSuOFBM+49XEm6Fm7XkF/CWu9KkW3t90KD3WWogOO7MbhfQLp3jxmCspDsdoOrUuy7oLPvWX85gNBMzyEm3XqWhjGx8Jt8iD6MvO68bPMslbWimEBt1SFnP3LgEV+zW59cR9MCEvWlhtC6kcJrByTpjWggBFSIdI09/SGfl1u+ZEY3uHbXCpk7OwoCaGWIG0VdjDOQCJ2AFXDILefj5k893+zTvQolHQGLGs4LCiOwlSS79A0mjgjlpESuZXe5PNzZxNU7Dusv1yFexhPHgjQW2cX7Caubc1AMBNck3s3q9tPBZcYtV3LoUjh9ty4K7iUd6A7hpbDVe3cu2cj41Q04wJvVBbW80m0B9XeBRet9p43J8LU/4UMQirseMBGwCzlIMgZ7F4n9hKH+ugB+Hz1A7K+UEtqCOrzzaPZnZ1UC0fzQDrBl1h4/H5mVrUcU8xLmVBhCWfcVx4DUnSoDVj9egw2QB+grW2TcSMI64kBAxSLW+0bl+SuDWYlgHXgTaxddVvzpyr3ACrWagL/B9WjnZfrmDxP9k1V3CgdCctdDHYPrJU9HkG0gmrWe0YRMHjbFRSQn+uEfPBgXUmp6KEPjMRyq7BHRyBHVbtF8fOZ7v01+zz40DJULegpBmX5hY/oVW3ZILGrgdN7Zs0ZNdSFvRi/dTb+JBCEx6/AZKHg8Gxuqr2gDmsLxdWB1FKt0XdQJLE/DgDodF79fdbFks93M4zHzX6B8GgwF0FYHKk0p7piNk4FFuG9cz4yCy+bN3IMZ6NqC60hMKri9+GjtTFjDIEFNnG73dHUX0xJjDC6YlBwkVbuSQQ5INM/x8pNNzvhTGdUGS80kI02KRlSPW4BbJFdhQrCZlm2ufdhNilSjsb1I709tASvu8AK9cltGSeqI4CIXocPOyPhDauJTiGoNlE78eQ7KW/OdY2ygkDJFyZS1Lmh27UI1woEShs4z4KPYD/a8JdW5prPMVTBx9c2R5GSZFTs7vYtfIBGxe3ICAd8jMdBkLs/qAsQW7YTuIMQlyS1rQVVx/0kxbqySB3i+WGIBQTts0zM5pBEnnKXbI9YE5ix5JrURZEFxM2rsFyRx8RIIhXGxa/lKpKvfAOjwAbVkEx7eRTVCh2bsCsSmZO+gB7MWLnWq5OFpNm51RTTNQScKEcBCByh88YNevIGAjUxatXmMurURRdfheQm3zPsjBWnzyEz16VuTNu7lH07ehvrYkPwb17yCzwe2vI5wZlDz0Rfx/y3SudxgQMX+8K6af5cKyjiVjIRxJs07EwP4WrUnuvezEGoW9XbYm3CnbxxbluApnzLmedDCZAzCMaTTcwEunaUeFXGSZyPx/Ild5nW7kq4KWY6XhWBL0/SkwNFTA7SPIurjVxsy2t4vO2Wzz0neOlWzNCKZRdEnjGDaDTTFlgD8rIZSNbP/Ui+TgwQ3QOhmhqffC7tOTtRFZfC+aRdAv3frdezdYd3xuTtw9MkFDRG1UavVMHyGG+DyGxkVeNN5N2qyiGJ8oAKn4z+1MAEBy4KtZPoPNC08yUn9gXKY9yEs+6IWRHADojMp8jjCeEI6yA8o1OuA12DOTiAQSzNnbosTnFt7n0oKRM/rbCRBJxdWK5W+fiEYSMf82WlUpWV6nFLG9WJvslJb+lYXWDHSGLVoxWXEWh53d+pcU5GdfcNStg5BVMqLh4oswGW0GzQDMdfEoDFullPYdzer55EtReTZF6ZBzA2dj3xaZdkOU5mAO1WAfpsaSYKDzPd5Gr2PKQe7MnZ3KhbR+eIStmZgv9W/MxHSZR+zvMraKtc1sXI63S/DOEWjKtELxidMEBGO2aNsWgH1R4aal/SHlw2KmkM3sq5MDrHndm26s5GQ+byBdq3iNM7MhOdA+zAcz2ph+Uc8aeIB714iK1azO/vPatzzi7ms0fqpyEOYEdRrlpAaDfsGhJSOT8dW8uIi93YTAmz6Ko18wmhIZVj3QRAzyLOIuN/CwGzy6aKa4lSh5wE7ixYIsmRXdAO2SxZ3WFqEcQZPc29TXUkc6pRwQi/4Me0Z3c10u7OMfI96wMVB1hvaWwJh2i/dMQrkqxOQ81nDNTKQJ44VO/1ENHzobc5ejz6QxB2p6YzYoMt6eFPgg7ZqgduQnTzkuFeconEcGN3CiziLB5CT2nQVaKa7cpho67S7tZafVaaUdnOF5RizO9CsEmTLNSswKlxeGjAq9l4xHTzKg7ZATfSf0+K3IXEbmnpjqa4aYjrXkL7VO+soltNdkWqq5LLX5NDB6UdqQ6paTU9y0Hugm2MxeT0Yh6ZOwxLO1KP0sTelXgEpN5k37gD69q1U54RASQxAdn4KF4k6JbA23BnHi2VKZCqKN6FqYwgGKnebDgn8CiTHPFZQ0Ztp0JyL0knPjlOyKfVgT18QQFteqZ9Tag9zofYz8dLsDzEyRapOPKu1DKqqQDEPmPMPfiOsEcMxxCNEhLuq2a7DPb7IKtAO0sHedzcFf8m4l6A1r5F10lRmrEgFEOWVLWLLlMMKKtaXRDt2MdxEteAx+Nr5kY6BR581Q8GItz5xhnnQuVGJFVEKhkoi2Q8WMySmIEOqKobVqBLXAUUCgqj0LPGDLQqanl17Cw6YkaLOxKUlIb0BRrMVW4ybeS54N+8Zn8aTHTtIE/PWQByZc7y/FVyDXibjktZmeSe8vADQ+pe0uEc6AFdm1wW4fI4JpOjwPXacBCOQZG62YxEknhVJWz17YRFochD9miFMTXkSsm4t+Iq9s/PMAm95Ipr/1u+VVUs2kbjELiw7vWuBxj7nCkmFc8F/DVojthB79OL1tWxg1b5KtRJla4fk7dk921dXZuLORhrWrOwTldEEgl13e8K7qLvvG03Il3LOPwkgJ4KmX3jTcrAJI6UkFSZlJuaiCwnjrneUr4rOk/0YhLSdcMQYhVe5gC5EJDz9J1AXktemmglOnLkUm1pb1KtuPXFJd5wnX1JnyGiibywtoVM/p+o1/eHnvSa8NFTmZxhmMl5VRm86yr+S7wL7t/+GmG6QMZRbyEGkJnpYXzFI27G/dBC21nw0E19nbS7NoIw4kNedF6RL643VlX6SSVrI13hLRVe4MA/QsQbCJADFO/B7GpQV5dn9Gp818+k//Qn4PKrdN2DYZtdy2yIQr8xJFYwMcQyj5nq2TXnjkWc/vErx89Xk84HZtQSelslbePFy1OE5wqNDk0WhmGIQo9OO1PHZM8PwcmRAbr1Ze2bdiQtHheB1G+bZM5WA2NVmw/dZK65Y34XDgFsEeNxDgYFDlTRRS/AvXBpsoILdKkUqX5ViFeAvZgC7BCGZ0Oh/Ih99FuiOANW5KwuXO4PzQXvfRzp3X6YsVi3zc4rZMp8oruMCVU1RlXop0t6GlV8iqA671afM2fxr8/8/nzmaHb3FJuf0ZMOvXVmZO0lJpoLVWFZlKiS1kp6FxLdEHGE9nQfK3bWSTNbbdfouuxYJZ6C7RIHwEwTenzSmP7r9VlOCKo9YtP6cIoctye2tKbQ1Uw9bR4s2Yng2qeykFEUE25elrtcYDNp2mRP/BQCHItWPSMHjVFgq4hZDMEtVnUbCjDRIb7mu13ooB+HYGk9XeFeCTPs2qfRbFekj8+3L5rWQun5KlDsR6vd8G+yH0P9vetG/Ffn3O0CwXq6iTmGtTA3t5ZPP6qjHRLaGbR3mcg2nx8+2eqMitYBVnsYuijVUMUtp8CUz2trL54oMLRMwARz0SxEHKr0WpHQjQ2uZWqlxa3l9HLhISzJ2PQpahjJGWWpH3mLyZ0FsUt/vUXoZFbQEVq9gOBLILXJLjmLTlNTod92t1geT3u52FAm2m1Hh7kmM1xliTI+tS1u6UkPqPXMQqMEA8A0qTROLNKSwo7eO/f2GMZjJ4/0XnWr26aAEJrV2gMVzlatlm0b/mfY2Mnp0ybBhqpkc+xR/Fa0y8CXEK6pU1YoBdFMjVWZsOrqX0SV9Z8dhDbnVN1Jp142DmzzXWLsLdCf4j32f7/e8uBnYihaN8qQbjUIuzMMx1RaJ0K8CpsVn5KQqcR3AeOsT2FdvKwsM0XA7EuXu1jkAD1ApTnWEs8IZZU0DN8trPN+AAFL1wnj7od3bbjEMFGBXONGQX0FpolQRpkuxBKGndxQ2NKJ12AV14gi3b2U3iX4RICdbZzhO0Sa9tsJ5CTnul5eDwAGFk2NmbO0FS88AAunm4EBbCEEAqaxbn6XE+Nq91C7rIcE4NFbB/OgPAT8QohIZml4QpQWfTOR7me4K0FVvTv+vD5SbAmKaNM3aJWwj6U0inYr63YWj9uYXN+T7NvIJVJX3b6wAxGPyb7aTUaWvQBuIOSrSriEv3M8N4SFXQbF3UmjZ+dJit+0ZN6FgfIr7I9roLuUbE3/WClePkfKTTR3FpCHGmYt7EC0poV+u+v4QD9LntFD8+vjHtSSF1fiDma6x08JtvbEkZxztdqtBunq0WSX94zRhUTt2JpKxp/HdL/WExsWZMpys4xpAfxfQlW4L8PbcN93pcw8dfm5+bGL2wGY16LUsj7AZTCvcCBPGfbtw5NjBXQApYITuSlEs8d86nQQKHq4ndkWe9pCZJ1rFCGNxz2NvUj67eYt1QME54DMYT/ezQYuAHAVAtX9W5ollHhrp+F+ARmkJg8USX50mn9rW92iNMQxmuWDK1b59cnHXLvXJ0JvolysKER1afouAEPtWOJIi8IUmRfgCSA+2i26bQPyJtPDq5rMoEDp5CFTWAxonhSvFgen1fH9Qx56NLBHdittZlpmpR1wzSipOKrFVsDXcgpSal5f8P/mFi7/itz5q6gVmevTy7I8mdY8lg+t2QF9YCi8Xm4DAxiGkVz9B7MNM2Jy2aBB4ybG8t2gsahqoYeApprP81Qb66guZyOXdcw6+tfZ//mf39//mt05ECcoBJ82zRJ6U8lzkQvNe+8n3EwDiwrihi+qCrNtYwIDKvAtCXDDV1gatcP2SoJqa3uP2DvA13iio9M3pUgMIWngkYCFPXBTFvEzxQHU3A9YzZgioXLxsVSXdixoWkRpraBj9FwIcyg7Ji7QAzzgako1+zityXecL0+UWjtb7KNtagDVCNSRRScev7a7EPm1yG3wkJC6ir966/ly1HqZI6iqJwAqxdn5er5mPaus11E+y7/gzzkfoOoxkLfoxKtB7IdgrfCrdgbkIxKyilRnJB3qWaywtaVr4a/rJxNJPHZWpiYEBwM0b3KWIYmRyDo4XBHFsnt/TcgriYcBrXxkF1s7BD0O+uzG0wXudGOMTqtFdaYGAdEHSNLALe19jwmVJOAc2tmMGtGqLLaue1r7pLVyd+m0dwmMpEQZ/Ox/D8HJdi0OVej178djEt/VOjV7rly9MIl+p74ORaJGNBvOOUIEkNBeVHdznC2EbdeUo5QoK7U9LVu6ydUs7egsjSkIOoeg9uwQGn0oOt3TAT5h168X42YFlAw1rdwvXTxQTjIsa1vg2zhgjtWy7loscU2UI8D1+WiPSTIU6wd9YrBxmBKoyyZ8l57V4pUBbRAauS/JiZ/IF13xrrEiRg02LvWZqOonhRSv8jyVRO5hQ+MZdu+yYy5HbrmFYQ+gwBHLc24tUBjAyjiB1KweCwRtkQhOozV77cuaSb2XCmWK1OS/Z6ui7Gf46TqjCbJ2yCx/XMaZo+FBw8HFE8rpc8DW4E5hHnOvczo34HbZa2TP8/jOsRZ9l1cIYn1dgXaAhPDtdSpAVVy5RrIEXYwGr3/8AcevX+yEjzrIiDms5DJsrN5fqjzs/afbTEch+w1ZWA2LBn+2zNU79DZSFOM9VXwK7ma3MvMCJZOFXv8oYBN26EUZQ/a5NoGyNwIC0IOtIyt+lu4GSz+1wFLYcWTHuKMLzuwEsSEZB/OtOS/ALWj3Qclr77YBbGTReHylBU4OVti9bfwGoXEFvOsu2cph1/Kx24Cc3SpsoGx7hfcKdPBCJfZn6pY3EIY5jG/ZHtQgOyt74+7iS2/5yGVaV1Rwhlv+V/iRJPj7sEkv0UkGoRu/0K9w7VYR+7pBZC0PNk2TMs7G8JX/MtQuVw7ZEsdRP0bSRadfqWIr9l9xl+wnvMldgieW2h92iQGSmtu+lSkzIA1bthMqPj0+42kncBHTmEtjKUdRA6hHK0uc6budRsISkpcp48iJe2ekP3Lq5fjqVV7aFczYHwUJR5fR21U5tk99oIKS92PWpiCZHjIBwfCTFNVOUHKdZoWjkX5dOY2b4zJR7zJaN1Tf7l7U/XMld4rmtOHWpdRmc4Ablwbc6FP19uLGaA9YmeKxImZZvtXs7NvbNvpZB8VvUSrxWGnUtdPu0OuxKzgEtsVot+kz4HOHkYK8yRLuOToLdu1rvCLSKIr8NsqO10Kh8DR38UCydGdZJOuRBmzPtfG1SrLD4g8BNh48r1rsKTYrNm5sqbQ85/z+3/095/dnvr8/n++B2sJ+fBFC78vuuOwfibP32geEc/FWQZm+65GKX+7cVas9SudrzJ0el6fYf5cblhrctQyjhoA1useTDtO4ogBbGn0IHYC1Z0xARuZqAQ2OWGoUpNmT2hTAeogidnW1iBpTRnFQ+3bxSjD/uwdoW7ccBEC09xKNMpBXxiLP2ThdxZ1jq0xulZyaOWAKc0q7rNVzNA3pVxefP/543jxNPE2S1cU7clQ+KFb448FCf3C3V3tG+uPLUJL8mAgMR4jCcg+oo+qqJXu11VXYWUIszFlPHdyk2oS6rqghS0lDvPWVX+ujVHL3JM6+AJNAHcEHE57gGs/Q9RgdNvzjquINtnKdBc7HI2yBqIGRaOMWxhPOS+321+DQ+LPlUAgKZFWVAd8mEKGKrLGDuLs0oMz8r3xbLPqexHnHgLM9tMwQHqa6UURFEGHVowRL/OAmlReh8rZIguZbhDrtJNIjAETtqvis5o14MCopojhbnBHLw3XtIQaoOQ4C86jfUoEjlc+gYB8i3b74iioZMYlKGpDeyNOrK/a3114jD68sQ0BMZyYu5H27wSzVVaZbqxi1GcmAdLScUhDaj0ntjGbXurH83EbinrcuRkOOIEChPc9cyOPrq9Zhi6N9hPHlUoA1/X7mF2bd5I9L6Js8ugYAUItpH2IWUaAaODpQRethMM1Xw2X1723AyqhzQ/R4LpbNVOHWfrlkNaAuvOeK8G67jGU2pOFa6LYy3oGFG5plSM95uAwy6EsjlyXW8oG+oiykBq60vUl38B92g+ZQJG9PA3MrAtsNu8lwf5DAdd37yvSFgmpxBGI0Z87sACvUEvCo4FoQHJet5jzC2TJXPl4SEqWgjsHPg75TKJZHMwM07yjxn//8h5+1dyKvaRUIQFWEydmG74Rze1TfhxXNiMRO0HFX279N0g/4yljks3AjpPGdVw8CaRumDraV4LG6x2iob78SBvEFblHo/3C/YHTdkZNwnCdWrADzut+AeLkl//TIachreUU4I8ugEZ9BtD17s4CuJA2ZoFbvJZBwe5bMZBmQu2IkLDYzQOJFeyF71v3TL85M8R7Z0YG4+rJQqSJMxM1FNY2njo+LWk8ZS2JIGZQ1XFCrwS3UfUZd3SnirfbGkq683X+BjgdStJX3iQYiuUGD7dMkHZ0gVunsjT+n6RWIuRNsADK4nJ2pXAvtG5TlS5CRmTGMImbm2r7oqajaZbdfeywZIjZ27yrTrQH2GD0EojNAFAJpv61/8lS1dKYo30A57enL0TCoqzkCvBCbYFcid+dGo2nEau2o8ACWs4Kuy53F4PAco2QwkU8JO9Ajbt/uEcL2TYg0Sekj24a7KHMvOeOjoKwk6Eo368DBpAw0+QGfTkPs3jDCKNQ7UplXcgDFd0dcRzvAWTm7J2de2a6bfUiVSkXurCjny7NscbsAeZTg1HOAp80EYaFq29/cPHsTMvuB7OW0HyW3WM9XlZ2uqyPt4nzPOfv7+/P9mfmeb8/REz0UyfgSsaqKMRPYswCOtPG6Ss4cuew47C/nbRNN/czM6Pvw7JlJEJ7x00NPjaJKnPf3QA8fx5zymgTbZpf+49FUtykG0/yl5AFDlZ1Otqkp31+ebt2kqmF7183CMH8xqMXg4DU6QquZk5GaGVa7K1aDrNI8Xw3wq8tlfxTt1rRCO7MoHZ7zsUvCZaDDDb7aGUVoVhMsNAbVX93dXZy//u3Pv/7l16+niemv8oAEX/5dNdKOGWMvFcBJSQNhB31i+txcBMvdaRMT2EXN5PaooCH2ieqo5pz5zPfeA9OZCc72Yj0cvZFKLu9IqLtfjsDEzpZXsrkLT29j/eiSqWtwEpH58kxIewEONUuPo0xIlIB1Dn+7yI0p5U7FuSrsW2Tc8uui0ibHsnuzsujeGZPqCUWNCBRdfAd/ConssgL+FwahKz2fybgbQwkgOJALPwrDaesV39K1eW9uw4oC42aPTDuEeKAchOQralw8A4bRLu52gYbbpVNHoGrGiPfVbnhkm6t1Kx7KAga1PXeB9CwoDRGT7wHf+G0jAF6y1hl08rUyr3melHPHIMKJ5KYAbZUy2ZIy2SlwwlUN2NQgOExFKWDpfr3yW1/Ob3i4hLAdWMen86YhJmj1hsWiSAcD1yW38kdUSn5MARpjQaXM+K7Zrr1wrIMzXEmYJq4EFuXqv69K96YfiltsD8CKwHo/Lo1hnhsGI6pqlCGtt5aCUlm4AQA9X31dLjAAd6KVDLzkKwp9x0QoygLQERE/pF7L5Yvky+5W/vYhb60+ZF9AVOYSpJvqQEb8q2CgeIUtLkh9x8yc1dmdhUP+dZePU2tmPQ/8RIGgFgRlFrXvCrcaCwf+q7bu46SALkSm2vRNsEb8/s///XsUZ676m04mCGYXxoB0nj/rrYz5U3w7l90brnBTbLts1gQctuPtKISWf53cKXPwbxCvqFKZqjTPSiXjtpmu28VNXdGEHwF0Tz5GzGqpxqSLdGWLnChxAluxB1FM9vQtjvJsyXuWMtSo4GY0ZFCcru7CcsYmS4e+U1x8EkCpVevQT17w/wWM3NcaODBuTWZ6lfsS+TgvhwS4MB5VAZPEJ3OBhkB9wCdqiUCE6cVZBzEy52/quK2tcefgEB8fF32brZvGGIP9pSL8wDE6BLMo3UxIpXzJAqLDdBeWmcTWD725WGI9VKpFWs/uAyOHRRni7q+Etb4SSoLQzdGJlQyx5ebJuXeiXwMGHo97y9ekbzyDLR6LYCjpteGvw5pNUYMilnz8i32qm80gy1IQl9OS4+tN6nl/AA7fzNDZvZlSXsNjHgCeQORuPT+giF1TElokTTIdEKgFWuWpsym33dWgyFuAMLFfT/ujFCD4trLkym3SFAnVFtqIg++brsdMh5EBUyxeQ4z5ldomcXgAlR7A9GTH+WalXW54IgiYg1P4WFS46K7j5CAI5eFo2Fah2qMTLAo05em8XNccLBaqqrRVYj0W8dzTSIPS7uf397/+Z//1+/f5Ph/tDJ8Hgy3bZYHE4bpDd+Ej2xG5khYJzcRdKbl30DlcPdXLVLm4+Ox8D+ejz5m9kBUoDVk6XuzMriAI8utxuVCqIVoeNIJibbOquPba2ze0v2DCgA+lKlXbk3Za3aXqcpY5ql0VnJ2uJDQth2oOvg1dUcdshjQ/1hdZaKHiVwGELWx//PEENaDiDRKlGQtSBkNp93PyqCCwjFTV80WCX1UkqofLp8kugl+/6m9//vrr3/54nnncgxW6y5fZcjXVlM3CSQAUVnMOvymtchNLEsfcqKOIR0kbkQz9gLwcxJCcgx397xxObAd+ve1P5n7FXpYyAkl23ULX0JF4Mhpoy1Gaat+h8hSpUp3rHTF4kB4pJoAy1zOWCEjLbqwcDi8tGjUuayLzYHJCfGSsw21cyinwWNAnRvdnA6IlMKblLpDK+UlfAE2SB1jGtk9/B8s468tJZq5siA7jV2EbDNI5WpcqK+YNVeJOO/KjW0M069wghyC9GFvhF2m4SXCI3GUTDCgryqaLuKS+FiANF1wrz0yZ9pS+rJ4zYOaSbbUeBWicLKjcCE9d5Wp53iCLHh2BnO83sTB3zertudJFUVC1nbkG7RjGBD6Mb1cOYcnHUVc0TcoCiLmZtQmx3HTyXgnAGlw3Dap73mIvVOmaWlc/jHyEhEHV7bhWW8kiuDiku114QtZlgUwx1SJBofbJkLERGOS5Goj7ABPwEJTXlaTJHCR9CHX5sc1vAbPpcvEbR4dqoPfFcLG9dqIwOFSIioAa4OqSRrtMJAYo4nai0ZS99ngwJluiAFYrUaNw6QCzLNJbzXoFApY22fvd7AnGu3GCCTjL/53POcRozcJ4EB3669EeLnhmTAo43hw3GudCDVyuLZWEW0EGaxWMwD6uf134uoEv8p//+XcmazALykPrf1p2W9d54Y4769Allhy2whYu/3ezRUpdnproJ9ipxKybYlyvlmmkLFEgcNpuYhhVw4tqu6EM47FI2Dt/OlxBcvBenuOEivLx00oOe4R/VTFr+oEWtfSgM0FANeKBKN6uJzqrRCcBEg360CKGqKPDesGZXLyXUNoCyteCq8FUjuQAcYw6F5W28NhGC0ms9ptzSZ9QHzuNfXclK3Y98Kiq0M51v7AISZexXEcS39sqwP89rmyA8TEqgklkAW10cxIOwjIzCFbyxNg+3/WeGF62BGqvDIsQmp7agwp6k5fsR2aOw9n5OWfcgdnBhqc9pM0jLdpDb7JxAwBdDFoujgmoqkPppudwT7iomt2YpIWbyCHdH5Dd4Z8ZWs3mIURo+IJkt2UkzKC5KLJWw1p2LRyO6x0EiEfquwnl/8BFDHyqpdEtAYkSX2tSEy9rFC53tVEWQBiWbSxURzafnJHo9eXjQ2Il1E+4wMt9G0UJj0duMmBcUADvWytl6SHqc0lfn040tbMCG/dfVnGH5Aeod4Byh0CbSiQ/uUlVJFXiKc+lD5J52ymvm5bmfqkUHPW42cQefWuxODs6+D2f//mfz/e/1vNmnI5bRdSpehpkcYSKjNA9JH0cyMA2qcl5b5P5QmS15TnFYrFk7bTRhB2dxe/v/f7smfnIJjEDA3vRP7fHivfv8bIp/3yfsCt+fd0rE0UatYUx0b4d4ddDPvwq/vHVv57n11Nl45k38KyWw9HAif97MOIuZnewO0PxrEcc7KDqVmI5jku9YrOJrz+qE6rkdpsrmYX6OI1mOfs54vEoBJStrF/9BRx0NfhVtZzqr7YfuPgAf/7x629/ff7yRz1f1UVUVXlNyuYN4qndCc0KkTta7e/1RGNiE5mrNZQpbM1ZiGPfJmET3gqvm/wM8NnfOBhsolfUZKG6qgrj0b+77FwLBNerv3zyE7N4w0Iu3FLRfBflAtpmnAuWJwKF4S/lcV08OyX3wVkzkSOskGE5qc1FQ/Qq3Uli0QjkFpMVujS8SuIAZLWSN+ktZXOXpNz9Vjrc8wi+hmRZUc4CWcbnm9JT9PxcrnO7xsualmkb2s0BbfCMVy/sarZCwFTYQi5sMYsojEE/ySP3xmHwL5wGLCfDe2XZ5zqGTJ5JoDsBXb6t4r5L8pmYSoVpOXJd7DW+A9pmnY1hze94uKHSy3lZeu8P6zuKb+UfRmG10LUb5HDjFXjksrHKaiSIw6l9iOPtlmLkao5mUxDF9gIryf6Nxtd6pozVjAhlShUsVfXfODqFio7zYuAVvA3XpKeU9YROQCTX0QRu85b2Tpe50Ipd4xblCm5wV4N3VItxTVrqkoa+CxyOIlZK8bKIjgwB7HxNG3KKQE4az35OZF1ee2J2tarnQrJI8pPzHaMWQpg8ai4I7GLGWO6iMD4PckFaEgpaKyHu102k2Ui/PrOfb31zuXWu931nowZPOOl14RsDgxNTmfvXFdUV7LnKvpgtAyVV3ON0MRVenQ8SbEMCY0zcs4joQWDlpMZXFhASRCAeVnziXhXeMdHRuE810enXktYIFt9FQ289DbrqrPq6KUB60xgjqJTWoBa6Wbbyrs6bllNZA0Ynn6HciKdLIrdK2F5OLWxW5p0ESVoAdvM+Lzb/07yHKWG0feFYrVt053k1nrx19mtjpeV+6bqugnt9Zt40j5AOkIf+Glsy2BpMPN23v3F6FtOHzsDIceFoPndcQheVYm+gRVdYzH73qbIZ3jbfkpbQ2yY5XOLuCpkaHup3jcTaIAILgtYtwgDdPi4MLzc4s2zkS70k34NrlSBhJSG7VhvttmtcJ83EYWveTx5FSMcS67I8YBHHLKRsSS/fjnA6pNYzQyuS+sJZ68IzYCCANF5pYVoB97jItePrkbK+0IPw4EE6JtB8UKaDBVR5FVjF1q5oJR+S0FLtwAisCM/RjBil4krygbv2EIlKlCGvGDF33EV7Wot6ADsLPBzsth4+h9h0G2JZa1bYvx33V0AVTCOlplG3cOP0wAyitqbk7eLd517d+Mk42N+ASzd3mo/b7+4g+jZD9cPxdbvc8iISn7diMFPms82nsEOI9642J2HPzsFK3/PZ0azO7O///f79me/P7odlFfezVKKHFmrvoCLGKBxKNe7dHTXC7H+NBg5jd87WbvEBqqrsPWekZ+x6sGwV1V2/P8D3noJPYFi715WOCbD+d3eR+ErQ8AaXrL2DW6BV1UNsoVl89iGrvrr0PF9//qqv5/nzz/7jqa+ynMNyJS60q+ovLQUenc+3vs/+/uz5nl0MeQ4aq+LqgnNzh6GKml3wa2kMbWHdZkRksnAKy9rddlBUrZ7CyTJjk8cn2253b0lorShrYPss/vf7Qw30/KW+MOQjSqunWTsQ1DUDarSFw60taVZsh0BmtJJ1aK6p0YQeSOBR6ArRUxpq8YFHvct3Rz8OGUhAylNgyGnk2MGltdB9oSo56rF9yDo07WV3tKguB5wkI+2KBUSgqhYDcka7gTntYRYMqJlUy0UKiSrL2nlV6Kl9Sk6G1YmBq6IcpcnlXHTRIyXX2h9EoJGu9V2THmPBpjU+drRHPqUXzs7N6FVtciAV1R0PsQvBhq3dMPHkgRp0gc7KlDFFJaopU3JGynzzGmIzzG6gFSEQ0NxRyd2m/8ilSYJg7qTbE+8JN0bwRU9YYhA5xz/b47xRAqzk+JgEZxuyFXmTs12LXS4PKb3lEIDbEqZM06urRDB7qQpj7FQqR/cCV1VrBSl3dmvbdT0KO9usfZkHgdVro4x+2i29fDjpU9h1KgCe1ADizsb657Z+ocvGRIJsPyAIwVFJjfINhNsO1kpY4XHYnLEbDZZdl6B4i5z3VvVVidnsjdUCQ7ad7aYEoEpGRQqk7EThB/YvVtlqZqV6wLUK95IVe/dwY7bi/i2Z54sEwDJ/1VLaZIfQDkgTUQ6dEZ+aqL2v0laxELbH51y7m1bU6nM0MVfNFfwSVRqN7K4mNmN+V2zuSt10ckpUP/eLV4pL5C3S1UOtjTH+p0t0Joc+UCjJt31Xco/KtIa72GRP674ggjuEEVSmWrQwzNUlzOw8ETG/kKhQ6vHpGvGS29F6d0uasjLktzJDqvvOtgQHuQU28GXcYRDME1I1QF+pH1CLjAnB0nZ1b78obdzU3NRNStsCsKpO8IhuOWRajMXE90yhVFsZpVWy7xkxQVKVrNTQUSVuo+ZiFY5/uKeBH1TYpcgDfsotXT8ay/IX3TQQqzGuJgFKDyhvPz+bRslhSbxrRDdQ3vLgNbG1ASu4lHf0pthjQR/fFVLT81y38DgkXdEA29PwZkNTxR3bne7XkX9XgBLQ0go/wK7cm7uqLjrSoctIWdmylyoWrt9DDnmBguGeCY/t5SQpAjA4rJZnB0ToJcvMHOJCoUDH0l362xfYMHerWY3iQ+zerC+v7wKpWRWCxWKpXvPSu8MB0bBhz2UdZDvJFB/t5ReofvWT7vGL5am074WRPKnohNx+MJvabaa7jE26GRDcx1RKYGN3Qu8Gh2JsvrkMoMH9EDAzORQ2wYCGoo06jQZXJ+XDK37GImk9X5SJS7Ie1zwW8BD7RjKMGzJrD13ScHeRHAgXLsvS3MffDWGx64kGqp0D4ez6L+5nfn/mf7/nzMzEyWMX9c6QYn3Bwo5MQ4ZQ2qN6hrMKkrn6jAILLKDh5JezffA1OkylRw0y4kkKYjf/YBtr0e58cistZTldsQAKQ3o46w0PzHLt4qL6qYy5e7q1+mryYVc/z/MF1hd+sfqpP7/qz6eqVqyWuhqFWT2ofUjGh/To+Wr9Ovr1Nf/b+J6qMwV9p27buaGvuxODMFXECKv9ffh82XudaNfVXBVhJfzN8ta35M3rHYhVJS31UGt1jVRc7u7Z8z+s8//OTv3lr88fjVGXoPFkywCLwUeVSmZXw6wGoMcTX6060R5fmqWyBxs8u5T7IoPEoFC8RVxV0Z6yKkvoGg3Our2uAz6cL2JIsLUh8820eVdGGwpSPjaQ7v5in0wONjcBBXvZ7RUww4JYj8Ja3+Q0kB7HnkLW0SVGxkTS+Tp4bJQkKLkeGunGhCcnz4iRgKS1aK2YkMr7klB1R83KeuCxLrxH1nECmovIFtEKUJxTLur1NXZeFJzcAcV8Y3F0yvl1eGvK+oPNLb9a2vBSQeZ+cinS/2fGsJ2mK6EG61IKyJQnyo6uFCIBq9OcEsox9V6pm3C+1PG4MksnGnRZfmQMwTz+LWh4j1qjQhsSYHcvGvJDl/MG6kiGkEoYB+z4YezOkg+wB7hKfasOketI3U7lgsNOxWTJbNaUvLyqXgBTwRAJSBNvoK7aJIXy6kJWblpS6Bnav5HQerH/QJx3X9GRlzBiIqO2bl8NiRFINj8z8nLRFS214xA0BfNuZmAFSxKYnsrNraFEJh5k6a0WCzTpaXzrYr+qnOV2kdWNFeiW8Yj9TwCRzP6AXhYTEUQ+r49FJuxcuipuh0xLdOG9+ix2zmekrZGvkawCl5q883d2VvK8V+XRgLpu/ReP9/b1zio/NLcANKBNNstTGSv5xyU8sDSFj17PXjy7Ul31+qFM0KUSvV6YgLBK1s5kGHTKz4paxii4axG3e46EY4h6YqQmeKO9XYFqB4TBTZjbcnO/aFsKGf5PoDtQkxyLl3U12p5IBd6969IUSizQT9kEAUu2EkwHdIhTAWXb7+Yad0m2U+Xx2IjHl44SKOSjEAZZi8ae84e92y53JejaK80LAlyP5SttLqJ0qyq2hDvmyAqvcTBtvOjGdHTLaxOEK7jS9zTGpy7SsIxHI7zUhSCzn0IwiRJxHIwJSU6StLRu+ZakylawWd2ax7A80pZvIwvZIUW0NIMu598Xg3S7HbQh04H6KBD1VZA7Fd6mqQlyVnbwpFhymV7ttIcnvZPJvgRg+HW6OIZIPEbVFDmGwLxPv6wgs0vSqTBbc2917/eqILVt3Uvbe8b40w7ouVFy4nqgi7Jw2f4SsMqYqNcUpQz2FU8QPlGO4zGNkoteweEs4HZHoBGaKj6LeTgMIxWtkDvjJs3xvngVtbiWefuDbj6R0zXSzBJuJYxrOhnOl13D8rtoL3OoXiqnqmG04mg6TVskLb6NKbAsEV7LhXb2HPHhcnQKdKb+seCBEM6Yb9it7/3saFdHy8/uarAg5yN5hhHGQ0WucdaeAbDdM/lK8+FSM0dXCsvqcdC6HQKT6Q2GxoBqyKu8yfBWj7hYNSJnbTa/VPuH+NlDno+WqHZoSWDAarrxbdbzqwpkdwv11PPLP96ALkiWhSndTXV1N7vwlPp5vupBWXfi8yFHky5IVE9UfI5RLLL5i9/nEIfo3q/Vd3329NEZ87HJB3LnJhDN+owE1KMdsGLr8FHMMgDui9QOs3Xl4Ulia/J9VrWPvpTi0Ld5z+/9F7X7r8Wf1PPrz7rTokCTJDHdhxlabA5JuA3P0CoCU+DhU2/2y1bxI1AngBBZcg7IheMF56qWIy8KYFnDV09roK5fi3oeqcg5Z8s0SenCjL6eU1DIIwYWNvGwsFOOXWdWnEc45S/5RHJPvknYJi3mQjkFD6tD1lt+ujYDkQpfuNCQR2K4CK89Hq4zrxs8JHJJLI6VyuFOi2A19Ooeb6IjAFBtBxnpiXouoRY+zzbrGkEG40GDxwRutATudZiyRWqM826EYgfjwo1XTDOR03kRxwAAR+giBIJX3nBdGvKGGorOJbegJ0qZwBHWP3mN+MFVShMwsvYoYDxcDlgNumVmn92aU5GP+08r930c9M4ORjyJulLG62q08mjDEQRhFKA1MYURlPE5F9N3gUDKg29St5A0CPgGB92+Uqs98RevKbS6raPpbUEppe8zJjYlo7HnZXwYwhQfz1EnCxxLeOxvcXlk3tFPQ1KzVgfbdyhDypwKOYbbOFGYeL5S8pLLTMVL+wLa0ad0JDdqxqNJfHdP/OMxcThlxivOk1j9pfyVkz9TAJraHwFIBvAFvyx0BFgQhOPOFgpsrswm3PVA5QMI85mBhkeqs2NWsIwLCgUd4UeaYgcubn4JrnryQquVbozo3LQ7N9F8wXY5l042pYq5f+cfS++j9mzjiqN9ZU5wX2zdaSdrybHNDXnDhPwgZOUNbvXfZg/ciVm8cMNYtlQqlB7BoV6IIjMZmldCqOjAsxZg62RKPBHGH81L8G788kP17wpDEIARVPVqW612AeUmtslYk3LHuZMwvDRiaG5/zdvdZ8v47N4oRoCI8m+i/0YIlU4jfkS8ZSnNebysiAX1gC7oYUaAGcQj+ihhcs7Sk/piVhhNEuFjvA/2xvAWqddY6tOBKE/Ymuwq23g0YsntGMJtqDyfFK1O0pnGGF7YpCLgZ+u9eG+2tGlxyLodfpkpgu1Jull2IjM+3gm8hIpt2H1my3M17ivmFS963rfdsuTyuViOCQ/w5NMshouy08fxGVggeQv3Cbcv7Ryuu3tXt+QbgUVHUQJXLYZyaMKOfJDc759Y6F3X9Ss5wbKvMrAylKCIUFomltYQvuLQG0xNiHOztXIg0wqehuRm1CBNaTH4t9kSQOmEH0TVXvCDqUoScgRC2HHhtLW1WlZXzjpRjv2uhkdpBIHBNlq9O6Q1Wkz+jBukHL+0rsC78qqVPdISInBMfUucc/BZzU4NuKWdMxpuSe4GI0BcnHO+z5E0g119djEqkA83rWBm3Nn+vT5DN2rOhdoxQSOn0Z1xp2rmtpLHqHtLcMXHQWGoyZHL7SJZ3aQ4oDBY35vataCPX03g6Vpa9emio7zqRepX9/NV3V9kNVHk03i+ngI/o6bUbFY3WM7IicajnJT61K/O0ybgKDO94zzHpic5K/W9WJ/iFv7yq6fxXTrDnnmerzn7/eHv+YiF8SVluLFop6UTRJfi9IABbRwmycIedzWDFUYcFK47EbQsQkTdYSI8u9zYS3fP+Y3F76X+xv3L1xcKPSsnfE6JOzXJOxOKqqph41nt4wJHIHbxrNYJg5pV9X5Jn+Y502qPYauijvfOcuuLFgEDnSK+aqLAopVehph8wWG4PBWcrAFA45CczuQm9+C3eLFxV1rZF2QRSyKqFyYVnGbuBLBAuSDlGJNxlaHl7aaTY58byke9JRsuulHmuUToSLAlzjcKIWpZYKVKHeyXEw1y6sjkXOEt0Vbv7bpGq7dQo1CaaX9ySxNaeOgadEVJxh4urmnZrzsSQhrkpWFImdB/nbaEAQM6Tq6Wq8PqJSw4eeW9Uf0oDrsCVE45QAqISwLklsx20dgMhdTnflVeangFChEywOok9zu6AgbztE1HCkdKM7iFa0puH6KG7xxkImDg/BN7V3ti6o2kQ4zWP18ThDAQyM7ccK305SuFdvjJ/dsCmoSsboonr+wF07BvgME3XectgBwfXBjnGQ+x5Rz3Mo1jkm/Ri3XUEgDMbtWz1retTgrroNWS3W+mUUIu6aaHk9fsthdplrY2eJF4W5V688oJ7Hh1WhXoGBqiVcMt3HJTFx9ByDCnM408lNjyXe0ALe9DS6O9tp29Iwuo1x5Mt2y7aLZWh7MHEM/uqDRWhztYwFF7uz5mCHxkptFRXlE63GQs0D2MWUPHGGA9g9GlEdV2qvebj+UiKaoBYPkf//y766NwNqEWKfsZcbeoxT26yRvC7XqiZDac6J+JQmxBBIg2HmtM+dJt9NrCJckILSjZ3yr8yLT8ZwQPKqBbJTG4tWB7XWBDCioPOuFlQXNMVptit7jrtnoXMw828/M33G3c61ME5npv2xFtZiSyopFL1qvnTh6zmcYAOrK8jGH4ySqNzgX4l6+/hvdL+a+SYHJfItbMt+MbmwbdjX1ZZUDrSDm/eAjsLkF6uioxQAwqU7lXkFAe73kVKsIgCVU6q3pzJYS+ny5QVjYS0lh68kBtudTT3OnMJO0qF9HGVxQc2RYIXwFfTzAdX5zlrO7Ix4L8LizQdWFmgMGBrkHQwgjeec0SZrUu4/NyQpPm7fBtWmnAX3lfd/0ubkRUEPPAmuGFSU5VO/9fQdc2NiyjHxdnKTiRKTJEQSxHXQm2ABVF4iDE0sZlE59/jp+LbNC89CS3lT6oQBZK7e9hYYmydzdnnZXGLN3EhnwbXSB/gHLMN5zVtCiuOVtfnjdj3LvXzhQ9xr0Sf8cHTvpbh/LsrukYSFYDVZWWR0tY1ApBC32mMCPu+b2Mukyiw4t2yN3VaEfnW+o9h6X6YCoJZI9PSXHs8TVp4kucWW9P1YgInMxQuqmrQNycCjYuO79hzDTF3kJVdemXEWA4ihizc45GFqPFvDMKTvIZnNndWcXC+/Wwn6e7/voHHvxCTbPZ1W6ti7/Pp6oa7O6tKrKdYNEygdTIuISKL3g9uMWz6hR1o2FmPMQx9mkfsGawc3YGZ+d862h2Cx/8Cx989D3SwZHnfMnWknhzQQIPwGa542BTkHl2idizxM4ITigj1o6JArsdhi+7wC2gIzU77O6v/suj//j78x9//+Pr66ut75V1TNdrWj3rsN0lLQIi1bvi4MNdOCFkz8l0PdeWOwsVZj8u26JBE0p9ygMTCHoc3jCsaBdRHUjYd71Y1WOJo0TWANyp9jyZS8huaYE281BORlUCDuL15Bq+9Al170RYhTTgTf90a0uRDg7ItA2LlVSlm/JFMxyDiWITjot0wqQJ0hJt4+e1v29OUQAuQa4LhC55rBRZD6zA5qMALhJjIyzguHJWxB1Kbb1LlTpiZTP0QHxoxcEWq1m7uwHojcoZ0WZ6lgqNX+5B/X2WaaaoFebIVE58AhS0QEeJ6ULDwzQeptg0dLaAkk6WMgliQh9dkQYZTEdgHj0wnImSKbbJCpsDgUyUx79d17rU7F7MfdNtjAcZOMZEaUKwZU9oxb9lGDm+ZtwKxxBGcfZTLIdTeuwn3EYY7DHIAecosbi+iyZY+saIGHYAvBxdCrv8FIPnFl5QzCa6n9i6ONlVDp47souS/bZPY7Rb9Uh78zl9w+SGZNnMUF4Cy26ccFGdYB2pqyRFp67KsIYUuvJssSwNvm1Xyfvh9hxvB34LwSj5oidIS4v2BW5g+mr7fPkGYVVBnDmgzlmRu5qPHU2eiMVCHStMh56zmkQYa4McjGI1C2Es8n2koFBs81zbhFwksGBIjs4gKVrb4j9AiP/nn3/PJRrk1MvqDVGHS2TXSks18s9vQZS6V8lqaW+YSa5C1nw+EdY+QlcGLNQmo9rNVTgo3dqqIKgSURQjFd+ZFOU0wyG/7CjgbZldsZWP/6DgKELDbdfg7SjFPEDjAGGzA/GT3EXjsB5Fo6aLULglcePAXPXId3QlbKmJvUx803I9VaTblqYsKPKKqVJW2rFiINJHk2/WTd1pbw7uMnXZF06oVGtU6EbjxeMSOXV6lXbWOlFiX2ZLoPb4jI+Ymoln2jTUQOwHPlwoTbJvvCZad4YQ4JGXCT5KnJwL8CBSSoCEzYKLdPBluzCqyDdV/rZLbo10HaPxvrtp0jKjEQWiI9KMJlZi3whp84uu1S2oUSFx8nUBKDXNtlh0bVblwgNCXf+4e/8esJ7Fkg89oZ405pZjotq+O0WrE05HiehvKEkS6wxWQVHPDniZrOg0VYu5pAJxpVaWa5rQFywtSn6Guh/N9nPPMAepeBywuCH8EFdBeWxNi6eBTMOhWyK6DGCf+M9cVtSGxCqt2sBftbDwMMy29eAx4dU+ReZ4US+OolRp4nB1pCwnj9fY0YzOzg4gDYUDcVc6n/ksZ+A1NnvCn03cNn5pVWR5LrKqw3+5fuADh3DAM5bVxlNRdg5RactNwxlGSC/Y8SgRUjWLLWyxedWMC8zZ+cxHA4rqt3FzrNzOnllAv55H1NP89cevr6d+FRy3/2TkUXWvw1d2F13MALsgrxD619VVl4iHPWynoFJAbYGjDF9mJGREoCq59JOODsaU8edgzvlI2N0Pp6Wp78/u2d3zWay0s919Ld94/Ruoeuq2u7gyzBoJ0KwzGaIVVRe80/a9X5Aety0KKGCnnvrLX/78+z/++Mdfv/781b/IceJQ4r4XwvOgDtDOA9oTbzF3NA4DWLAvvIzBsL7cK+hAZ+Qho+dbx6b8IJeWrmlpSW/1m+KWE5uG6o4y0MMgSgorSQfJnxSM5ZAXfQDP4AUhCOhKlGF0nbA6Mli1hAhLlX9upD/aovdSshYL/nxOTNhdGEbFNbgxf/dWRAT3VUi4mWeXhhT6uTS/FHr2HWXAOLl87rkZMqu7Pp3qrXapHIGIHhb3rxm/YcwDFMTH94M/USLq7pLPxwMaxRqhZswlOpLUcje4WFAL8IwmIIO0/LX3DZVxZ4AL6AmgG2lIYenJhAVNq1YmkINzrKXhMsS/5nLBawzM+w+Gl9QGw12y1qHGkTdLZyldvNXFni8Mw5d7pVQwTu58Qs1PTIlkT7noYH/potsLNVr0WKww2xoZYY7NZ6JFoawlcz/isipiSSbrAFfjBNxHF7WYFosxRSunxqfo4eORGChwzqaP2FE9xUsXeMxJZrIGr4NJaM+FUpgwf3r/K++3Wsz1fINuRv1CzcYdVXN156+5FvTgFMVDH8tPrMTXOOcjShTWcXyyNAoNXPJtRdTBGnD0QzGFo02XpYsrwZGzckdvtFfwUJtAdVg/Ps9z8bpxbJ8fSj33nwaxhLknF9++EdRYJ5RYqi/+n//7jytbAN3tuAjo+x7ztLK+WHVzgl1BRZz2/yPr35olSZMjQUzVzE81LjNcYISkCBeN5f//dXwY7qIrw82UD6oWWSPsEQzQWVnnRLh/FzO9WfEyoA1KF+vOxZIF3l+Wh1Ct4/+ufK6YWQ2s69hVBG7dqsZOkRY93lnhTtTlmD9+bR03oLiXffehWDu/o27dlUYZNHDefI4Bd57eI7xWOmCv1UYpN6tlgXKoX9I8pQH5fBFzHSamAvqmDU3Yvqqs97ceP3nGrkrP5YmcGUs995bc2+b0ZLryO8K+NtawnNlKrmJuCknBAfR5TSLXV9pmYYbcvXvMMzmFa5K836m7/sDz56xBOMwGvMne9rB40lsJ5LrkdVWcGsGIvtDodY0DEeRqH7oW61Sw/uh+cjCtp/XMw2sH028YejrSHXp1oteUYe6hKie+Ve9XJe56XkyaJPmbauiCRehnd8vtsF92VcPOYyOZxK3FJXr4Vrw2jhE6bOOWoB83jj736XviRfsSNi/Z3gd3ywDUo81MUxIMBtNkQxf25l59pHS0k1PerOKE/QXGhft46eZFeHplV0Fs8wiVFTsisaXe0o5XNlH7073VpUFQV1OJ+vXr4zhy73wio45TkG7Qo88CuzMz9pO94zSGF9CLXX1mRliDpVZxWLN/pTpB9f5UV0zzWWqt3hKyxp9t9dIOHHkAxiUzoYo7/vZfZabyxlGkI9ldHLIp7H440O58nKw5tTUcl1d8mtV4UAM9Fvmjf7qev+nneZ4Oq9UoLBINlbNdA0h6DkJoq1LFnwdEGQoRY5NvLyKAfDRLrlZTqOkc3tqqZ3FB+ZO0xFmMtJ93QY1WpZ4daDGvPu++GgnvKzbmlXTlTdHKK2GdtPi0p0DYfW7zFU3YAVOxdqOf1XJ2uywMNQTRjVUHkH4Kf/w8//TH89OP6mNB4ZshSHyeerqfp/7pn36aaNrLmLELquZuMbAWm272uj3Q3ikWU8V3a2dm9n3dEggoV1E+sutbDdwYEyeN9vLVmKV3p2fBxFl+avSmsgwwYnnruH42JMrMJG4ViuYmHgnSa5bvr4XrfvXrODpKNhCJDzDo1Uvc9B9aPOd1ayTYAoJSLcfgWVQrIXNT3AnmazOMWFChwVxz3P1979tzSnLlOwEFvdyCGacJmV2AMFWN3VEH1XVxzNULdCXSwd81ihY3Yionojjg3phWaLXhZhqi05pf5EdaM2oZS66w33YsVm4S4nvYm7htl991edI06KICHetS9BBipu1Z6eBis/0b4ESze5KN1LJ+tIkXJ3YRvqz8ECnNrhKLURb8XN9wdUuwwCjoDPBIdTVyIGUfBDkRfCXjxdeLnb7i9Aq7kRR4dYYPcl/uZBWXjjkW8cGU6CgQU9++gveKdJfGfpxczI9apTGtfWDBih29tnsBlWqcihCzvjtGXkOZ6awSCisJKhXA0etR1ybDDEd+ye/AWoCj3rhA10neXTTixntEzTEt0+WdLQ+bIQM+LcfxRembqXW1Lw6xeONT9RrCkqFEjPO6QMM4mRXAeDGtC1SlhkkHTdgPDQ/npgR2QOKADNCDnkR7+i+l+3Z3wP/t3/4lDPzG/Kbg51p7H7zrC6avSaIu+B4CQxACYjfv05GyM20gQE8cXZF7+sv6+B3Xgnv9q0cIR2GjdMryIYIkjiE/IPoh1wqGz03TAJffTfAOC7MVTK6OKXxFay+wv4snDISJF57FI80e3C9ZPcDwO75MCG0C8KtjsmD6Xh8BHdgVVvyvTXKuY12yUqFW/PmYzZa/9fWxRv9AlrteBjGgxYD5acDBMWkM8UWJ9JiNAcBiVZrC1V9w7rQkVkLyPAXufZSeKnCz/9Qcis5PRSfnZcPFRn1GnQLXOULm5754yHUm1rGhzY6gAA3RW8Us8Y71wfoaP6vvYIfNyAffYTcjDbXHEYLUlvSGXLBcQVqgHfcWmAqmO2gKDB7h5ivxyipX8UnLQQdZrqoQEDbqOFDYMzxX0n4nIZuumbsPQF/Z5MhOJ4B0fqpoNnWh1EM+C25LEfD7WovpCh6FLnrMKAHfZW5WDmud2QBRKOwWNc1WDz9Uu2mogrwFwOopa6LNhERWRH3vB6SLsJHkqVsOhfYFySX7v95Pi5ja3n1dlY3eQmsj5MNnPu9n9pVYZVmJdt5F1Qgzo8Gf++5HMGy0kMZqFDvWHizqKbvvklG6tejqFdhZsMVn6QBGFtbTTHN1FKhq/7vFhkhUdVGzwdGq6WGeoF40NRJ//Xpf7Xpyg57hp/spqTyqrPjTqHrYqOqn0D9d2ueHQNUST3Y/Jodt7qxKA2g4mqHIPMqwfQcZpnFaY1Nk39K3ANiokkPoKVHMdDarwOVMrN13didbGqUdCNyd1e7ufPD5pS28FqPsq63ZEYtT+wAftWNCfYI51aAeptrJ0J8033cXmkuVLi2nQKL57L7pgZlhT6WW9LHPniS2n+fnUT/9t+fnv/3x88cf9fMH++lCP39zW1Tg+w7K7EcYrwiPDXMW6xWGu6/m1Y7eku+z8uOmKum31rNUCy9XswIdUNL7PYI8aRMGh03J6IKefRlbunAJBK65n8qZ+8JygtzfkUZvtJkOi2iPrkA6WJn4pmM/fAMWodXWHiJnIU+QCAhfLAIUnOE/UYUiTJ9JXgZ224cFn7dOnrZzvy0j+iLqliNguVqPIL5piZLxVvwennXIm+26ptKCvK4T/ETAvn4LI4w2+/AN+utro7Xb5QRa47uQA8oRHbxbUq0lOvJtPmFR3A1VkO+w2Cf+KAHOOUX+4f1fNJULZNYNCGHsTd6ASr4WNeleDNmUqY704ghvdlV0mcji+b3xdRr4QLd+39Vx+f3cfAJ7S1ENx8KuYuFWF953+3ShqahWcPik+y5FBxJIDY16Na7myoBE++pf8ollUXM4lpc2j6W4THMJFx4Xa2OF+0G0zO4sAA498Y8BIlMrAAATFGSa6avn0XV54REjcg3SsBSHKI88dvgzAHgyCx7Lu02CtRHk5Kp7ELqPYKlWQz+oXSdMUHpnya3RWyyuXlO+g60JaGoWKV1orO+IzreWWySGwzCIyJGDwd35ZpyQcT/0YdbaXU84TZnjqt5lM9MXEFct//u//auu3UfRE+Tc2hqSP4k+SYyqHHrrNoHgcFstrraREUuGx8R5LIZ3u8Vg4t28hRKNrCmMgRrFjg9DOYx9IdgsVplEkl0YhZ01Lm7baX0H2wu5HiR+4nukFTSpRfUFLE6eEszb0eDGa91ousWvMlJaqSHM8rip5smWhC1eSKFLbL+GVGf8QtVxb5+yM9V70dveiEsREygefouW/ySwWdEM+bceLtyIQzsIvvdDw9EMCc9wZ1Tf79sUl1sW1QzZeWb580kN7XAqwJfLYMrR3SxxcrbhOtrERJqxYC3neRutNdFxY7HcG+VBVpEzBpm+6E96sutd7RAyysIsaC620dCaRYUQeZKfePsm9rwgAtr1YWTjKwvETvoHD5SLkZw6EhebX2mFmNUKTTo1ZPGbn0IGFLRcsPG7DEJX+Ezl4pxzsAfIOsJvMwUw75cUBAeUZCO7ne/mboFD1jpPKZU87LCIIohdFRcyeEUGjryv8/oEVxk/ZhO2CIdAC9fgbr6KBsJiaINJp3UZgSJnQA97DxFjHKCgtZD4I+0CI81J/gETRICc/PPZzxzLVxiiZkNCfxaD0eAzgiLVBRbtYgYeFOijkwzWkhTFQOUXPSQRvbUtt7iF1n1qWfJFwLWEj1rZ1bHugCDT1NLrK3M4q5lF6XXYOVnSz9Mo/XRV99Ps7q6uGha7fkhH4C6879pRrAR1yJV3whEQUSk5l5zw1CtyNATqDvOqemCJMs+s46LTREjV7ltwVISb8lSWtKBrdkXURx558Fhs9fkMgP0siu9IkJbvzMzO7PsLW9rX17yvU4XjVTOGkFoPfBiXn9P1hACXNLOqt8G0Y0Vxa051VRiTpjBr3k+t9NMcjsXo/fx0628//ccf1f3TPX/729/+5fn52z/188hOdMzWjwgtKdXj2lcarRxEtjWrkWZES24patfVA0ioukfLdz/iqA6sdj0t7YkhhZW1TXDwCubbMyNlxO2OwxZqNParjIOizCTC57Jc3bv052x8dFWeTXEIAlLYh0xcoctFaZ1YeC0/AVgZeI9K6+n/D6K26ltRSsRTXKErw0Db6M61qr14iY6llMvXKUjIk2ARY2mpUUjmPv6CWUqCzIqVdstSTkMuOkSRSE3nwJbKOISYjxK3gStnFkq0jSH0GVVjF9b2TN2JEb5d6ZfoV1eHuVMlzyhKE0B/HAgGO06TbP0vWNUzEobOqDY2aKvsWhG44z/iF7rHciwNcGOisxfqAvPWTfN7kYs+ghnaWvZ3+xNueoZv5WIjsi9B2pSL9sQTQ+vpCIqrmL6u6TpwMt+ZOoVAE0MP3/aG3+RsXA6hcut65Lzlr4FPkELAdanYnPVRBnDALlb1Fbi6FtsNKsJ++B+sRX7SGYdPVuLTlXy+YhHFFOrr2KzxSbvRhLOKAQ3WsirIQaT17mphFxdWI+xObnvQlGsMWGmNjN5kHZczjVMaLuuryRa+8dygPLAPNIuUxhSBteWQjYiZbm4Uky7iH2JZz1SyRIrkv/37v36XgnVjdbMmKk2ti1EbI515FNrsd4MfCb6LlsD8pIJ8E0Qz+2kznEECU1sxWL6gZr1OZGJkrcauT6HsjefB6sHcDV4gCvJJa8D7vH449fuxuH7r30xe/gVvddf8tS4o0WQchx19k/Z6Jz83XgPD8yoIKud8BaoH8h5c7rqYHxgfTbqr31ZYOS+/CyPCbegvL8eUR34NlqfTJEfFhe7yWznJURl6bFxbjCnX+iGeZqx48qSqg6sBJLwYAb3J4moqALIPBk8SjCwHhyHQB7+Aggt2/wagvDYQlZaLWLRPDmV1rZzj4MCDqSrEfRApOo/ydAdopM0Ygzf6blwMXpUA3okbz720y0WzVuB31KWSpIAC15MEoEnikW+rS64r+hYjcFWiaZMEb7gZYPziUh6mj+fCTkyxln8aC6CnQvFAPGj5m8ELwSe09TT4/nnYmLuAwvB0FfQ6h7M9jphPltp5zWQUp6oyetdNNqoMHYeEtMG0mqt1mE5As6axwQ8H03YNInOF13Cx1aIruFbnlDT1/MjKES121WhCW0pCPmbqnTFHkVHj5H4MUAG2Ee++gifDeqaBwVUfRNLW18Diemr12j4IUKiOhatUBjGMQ/o8MZvnEo1EHkIpvWnsF/AqEbAjqJa74niy7s0zeLr47B/VIJ9mN8lush6HCVaOlvKZ8gq1GAq750xp8SW7ugxBfDMI44V/TQMGlpDKFlQ589SFy/nI3B7tafmEoVVt7letry3amoYvewARLO1U9WoZVHUH0sRiPDu/fr2fwTvz+XNX++uTIg4Suspzl+lIhd11VnKBg62jtBaLjXfKDa1bsLANNsMWe0oVaKMbyQXWmjHXZxbkU8CifvSDn3/5p59//Zeff/nX51//9vNPfxSoxzdEgXxezRVGXL5cFJ7lK+HzapeP9s194LfAcYLfaoaf3degze4hATuvH/OM+golm/+wsyZF3+ADgYxYuoyRMpBZyoCwHYGLwX6nZaVwxm1dUDWz3Z5/wAOnx3WFgi/ZqiHACNId6b6r08vDvU5qKFcF0bxAHKpNaFvZ7f/J9YPcsAhY7mlZ9lpKCCqb48x2OX3/HUgawrC9wyuPl3V5bZ3/X2Rn3gQLPsEKy5eWN4T5AjehPvhnmdiaul4feTn+Qb722bh6TnC+prMv0llFIB8lZ/3leYJHZsh+JhVqPc4kEyD3zEQBLJBNZkZmDuur6zkUXjXgFdOxxAOI6DV91K3tD+Lal3+YY9xJ/gILYLca3jMn5nVtuXOUUyY7l857mgF7xk5gmRt9duwZJO25WTi91BI6QLsFjYAE84ftMC8SJJwIqR6oEbn5RNVTzJ0a16QDPsnMKnoYr41eAzPmcZkBGfEy2gEiZDJ3FutVpAa38k+9SC1UnDQpJLTvYIef3V2N76mvfwNKwWBUpXwtrVSB/hXz+q7wO4TRW5/fntY8znXu6S/fCMYyHbjChZCNx8vZCla5zmnt5IleAZo77n/83/97ZiWFSEg9OhirQo6ONf98aK5piSQLeMPDSoaslnQb1+P75cRk49NqQu7AckqdjUHet6c32Shhs8HcDSnVI4+Z2u/UJ0spfN9v1YMzTNCFPvQ9kgggmemeaoRyYFomY5lOMg93aHp8+qQ1wcrZ49QzHDFgGOBAeAdW39GVdRZhuw8ordRdK3IWdUohkU1jPpbmG2CMISbL42g7reMT3IJzvZDsfPfnPdYTd18g6PTXScuyNjiygVBPKD5Wb5rkfQ0Gk1gu3Seo4ypzb7HLcEW5YOSOExajVahVRON0aI7F87IWcqHWQx8TeeW8f2GhFl4k09GTnozIxEaDkt4dbHVLrFOtVdThPsthOhso1it5v0TB6LQEYMByzidxcajt1ZFVWKzbOtVB804YG+goRFxqsxBGRlf2iHsDXu7ldQFXAfqjJYNTO7sEocW1JfiiSAu/Y8l8I89eVDwIoK0L9+V+7CNCnRKm3dovMLyL12q19TUQ8NRDCCu2WzCC+8Nect8XoAJP8lVpnBep2dnR7L6Dd8ZL9V/+9nhEtsna2GeLvz6fdVmdnJNdnt0FxHBKfHVXy2b4WC6QrbwAbsZFBLbTyq3LhODgu1uqql1Ws1Fz5iULHybhRkK1zwFUk0RYxpUnAMMJCcN1cu5YtV8An15DIA+7f6qaj4ud7nY/3UW8UDSnuVDT3W8GUMnMiC0u5I9+a2G/sj3V6CNWbaWoxNKNqg1LHmyCBafYydKeYfG3mx5gGwSAsY9aTEO7WOChXf4lONzON6rH8nLKdM7Ty+3Py5erdz8v38/nv37NvK+Go9d5FJbne18k4CUJCLIgpV2BDLY0J0fwNherzP3q6lVuA1NPcR5U0uJQ72eIFYW33lJHz6Z/+sF//2//9N/+9Z/+5W/P88/9L39UL9mOnTHA2MKLXY/ke7VCz/t2+c/TPL4y51vC/l+fndkZQUZQWZmJIA4lrfOlTmKYv4RHAejNOSRsErtuXU9N07uv+y1inXm0d/6nHbHbNYjekV0X4EFhZIn/GCKA8zQDOwXZNWzyhUaNoVoP4v6EDh0WwEGxE2DuW5hfZvwKIIQ1NNLAqGw9G7kAJTfEqjTIHiRY1JoEtXg3fa3x601FGkX/pMv3r8AgaXxAFA2lZoE7kjeJS/n+UUngMOhU7z6RzHH/RYpBBaYOBgonFF2yQApYr1UbDLyhIZiayHmnL4aatPc7j5FylUamPFMDuUDcYQC1N3KIwtaJCTZqHKwpHh+Mt07u8vdqkwNzFstciFlKWrLGYxbLzaiDoAlbsHcdWcvK5YxDnfwcf69z3zZhSSDoQpjMNAM8+NbI7N2Gea0Z1mb0x7u/q3ziewJqrjmdPshoaDM9tuVv5oh926vSGrlT8IishKyRpBq18JFSB3evbvLCKp6if8zMDITJb3V6l0tFO1ekZDq5ORNg90Ha7JJe30U4NiqVr3ek/SR5XnmQrrHckLlmSt9tgfX1vJGo44CKPGjD2KlA/h//z/+eDi5WWBfjmeKQE6XpqdsOSdqZOrmGq5xaZQZP5aLFIGVVL6bRmd4dtgJEOAUf+km1obiln2oi4ngGXnW/WovCvmgP37qO3D2BP6v15L4XywYLfuel2iAEp64gTVV5jh/z34qXV+CfHasmrlT3fkTIg+PbykfeFgKIOdfGp9EJiQx2m493BqCya/LQkF/KcHwB6zwAhEjMxv3uyOv8n7G439/L0UHTlM5UwDjId/LY/dxF3eB4oEzbtbcDAaidluj7RLF/CqgkRdZoGGtTiDf47qqYQ3jaeOV3utr1L8x1XgCea4n88goInaCC1fQXqhcYSTQs4nuqbqRjm6gu7c7XXMzUSKZ4To2lYs0doJerYIvtypb0Yi0/UJd2E4RFMb2023O7SnMt2s5SQcCcgcvM9Ix80u0MuDvsXk9qtHoii8Wnvpd2kB5fH7ZQ+xEVnQXxdQ55URjNUNs6A59z+9NBwxiKpsFd4ZEFB0z6AUzPMfhV5//ofF8WxH6Q6Q/jGjF9J2ulV9t4Zuad/TXv/PJj33+8rz54Z3ZKWodW1u7z9E9X41FDmnJan/j++mVE9h7Dhyxtq95apnVSpHsRBMEyGVfpW4YUg4oeL6BB9b6jcC1yt2cLrr/jwzKE4JscVbP4YQgrg0NxzletpqOPMH/nwwCVF98sdffTA1SJelTqKjSj2einDy91Jaw9Jz0ifIKjAQZrGdss/ng83NrXyyCYVb1mDC4kIqNvYxaATZNV1l15yPLswJyGoy7pYta1eHp085FNrMwk9oNZGZFwAGd5aGylDS++owYFJchVTpvHrz8/f/75rvS+FPf96CM7NTQGSwK5rCYTpTTYjKbbw1dFNLeWn3YRZuqW8BQ2h790PwLeWV+Xu/uxhxVlAPOn8U9/63/9p5/+p+ff//Xnv//z3/7pp+HRHwERPLaA6IT8WaXzLh6f4sRyu7iqX5/3//pThPTua20YVOQ4smmFrXEZYfYKzYtrt1yuDIq+qp+vVZUs7RtCd/SRwREklsWnFnhUs0QvQVBotepqDRD0XED35zBL51VWRocCWjl+gtj3yh3r+517uxmki8WWOlRpG3l0/RdKm1/4nbZDrsF/kA5Xj/fLx9dSnKU45nBj7Do2waVO6CDUSqwjGwzsSAdgupBDnRjErQGr5JAZ37rKjMF84FxygCrnjEoZt23qPHeyOyoSq3HYrSfsqnO/hXBRKjsXIEnOEXbWdEvBIgtLv5k8o41OOu0AkXMqqnhrDaRrZpjuTznPXGHHdktX26kazHFFgbBI1E3V7ut1jA3HXeFkLFpzWeFqLf3FvJeFLzBu7jmXp/sHv2SDk4u+9MLgTrDsKQNkKqnIOEssEU+c3XxWE/iXL6utQjsI2TWHS6WsmKXYzFpzE5wqxNpUs3woLBxT7EvRv7maIR4KVcRofNWA2v01IjUDvZqWdjC1RL4Wq6l5B1V/eaC5mofSqhX3Ilxlu/5OWqYlQT4U4J9S/vJktq1JuLI6s2xeaMgQKcjWt0KNodW89l5PEKqJ4P/+//o3OrIAmM2/5qsVJAwbuafw4V7xOjj6ABCrMJSHntisT662y/Ma088gqiuvkHQ/CHpE0wKN5Kt1E0n7hC9Sl8TGKI4HKAJfnWWwibNXCyo3R4eO+YHzKxbKXK78/Otsxa+C3zlVPL+4bNfcr5WSQSTIdP3eTX72KYBLfhDZnAD6TgYdu8ozl7gB9EfzAEb3405DRCT4JzPU/ebolpDyNrTAUizyJSg0a0ZWJREA5kuH+QQRL9QySKm/4hLosjnqt2QCXT45NRsNDnpNwd9dlKZDSM4ERYhe+aT9EemhYrnjSk+frcHNcayOLBNnlgFuankFUDmrsftAxepD0KM/Lvic+QrLrW2Es13C3ydN3xcuuCYaeeKQpUZBwc/4BTRqpTDotPwMFobssis6DQX5KQlPYbDzQsDuZgrI13bmenpRfW1E7hOmD/UrjtcvqE95gpFFqURkQjwSHGwDh9xgSohvwwhuOiOvB6PNlr09BUx5WHDpWQ7rKYLoIjLQ3lXDanaEEf/89ZnZ+cxnA3P94/NCBi0Tlej98/Mj2ErcVSynXX+cLs/w401gl0SAatlcLWD25F47ZLXe1PkgS1vslbbCu5N4RxReZ1uAkJ6+FrFU03jUfL55EF01SUS7Z2iFpqUTrMUUu6tM21ACf8CpfmzzbQBl/5IcTXS3WcTBPqXM4HMsTK04BtMYKtXLk2in35QqlAb8JK4vx5eeYTdKY0a6GiMP2XZlSlxx1VVSsASCxQc59NjmKp3K0ouVhcJbztstkjtqz0/+Dcgut0lhPh8UxXowQ2bQ9Z+jfeddzMyvX/Pn5/OPz/vrBcC+2RcucgQ+i9dSPgJFrpP2H6tuL4tF6HKOTpcnc4EuazH75vaW5WfbRciKG+JhPY36ef7pb/z3f/n5v/23f/3bP1c3u9Es7L7j6b/x3UpifaBnV5VycKAe6f/6r1+f4a4DwUeCEDGofdW+W8dA2MrwTn3vJH9FZ5LRNgOK4O5rGcE+q88uGSjRhLUFGC03SJMsC5ubbfzOTZJ7itr39y8Us2VQVZhZmlHvEmqjxovEMzRuJAMpOFnYEbta30KafALunMAMQAypvggW8y37czf6B8pyy/x3OZNFXXXswYoJjY4bKqYMmBwAr3UWcKJRdNtfxJMAgLlD6sT58iyFysFuha27Hly9bQguKqtAzoTiKjOZk4Yih7b/Z+LmtYGjhGXpRLZRqPjC0bKRu1QnLeAZdvNDcMSKzo9mJjRWztp9U4f5nVeGHzuQI/WY69n69hmMeGh/J+hZteSi7mpovwGFUGDyTbAZY5sjQOLlqJnb0j36/Q4/UETDcFnmKtxNCtyMxeTaqYNgwXGDew6BugPKBr10WHexhxdhyBXTBMC53dyW+uojNS7eXefgsr9N2czsu9Jygz4CoyKnfN76JxW5znP021+g184Zsxt8GQdoKkgneisFQwtgLbdCuqePd+0TpbprBu+i6gjdV0heUaQHjRRi5r2VflURjpE0Kv+ff/83Tdx5CUtTvKRMCKKUQwITmmrA3gisLU2OUD6to7XJhfu58t8IkM6zMZUHFp3D0+uJ29WuaApgIWJLElBHl7CgW0UaODWjtvHL4PL4kc7OZhMLoFKbKmoK7KNa+3p5joNI5M4VAtedxpwJ0nGzuFPkOKz0X8fHpoeCXU7Wq7pcHbC5ziw1XhndDtyLjNiN3zxfUJJNPgFToGuEZqXr8Za2CmuRCtB8r3OF+VW7f5eePy9mL3y0q/ZwC4vfwyw9fQTSNXm6OzEdvGcfRjhlbiDwR0Zf5nj3t0yGW92p7SqHFPCQr6L7uQ7O/jS6ywcRVMvPDO4jc78uVCOUl7yPObSgF1WwFycwJaCuGppwLaziJ/Ql4ZfrEAIIqNn9CiXKrlwyjyOc67c3VB1ZbjTB61CrWg6kzGZg2HeDFo5grvbJjaS3c4WnLzXY1841jfmF1iv5N/q4rS9TQ1BdquXliWX7jYQW5qunQLIByyNMSHL7psMbzHCym/BHx9cO1YrA+364s//1+fWPX86H2ODQolA/7V3BWbwavfN5PTT+Wb3XoPvyHWagCXBPH9oqei50N8mnhOEbOGnko0jfuCtTiww6SewM1rfa6hP2lOWlJbDeYpegx26zKsIwRHxNu/WgHOfU6MTcF1Ansmb/VLcxhbZhzZWmJk5Slq3VT83rbbaFQtErGsAWsE5UorCrSB5itYFRfbEYQNSedAbvkUSNtSTeDa5I7jp2P3HYmUXyIjKGw4dr+4W5BM1AE+MgbnKj2P7mJFGx+Rh+pNVM5XU041nYqgiOERq9akdl29yf//j815/zj1/z69cux+Ys30NboFrSKOTCeku3eSsho/WKUnVFVS1KMIznpe0OYLcWL0ITeeyawNrFP/2gu3+e+uc/fv7lb/Xzz8+/PE+z8bzVD9FdYlXjXT4lJMkEi9GCW/h89I8/P5r9CO8nAUfe3OumXIqUnzzJfp9kXxTRPnNTe5pAVSL6QY9GLgtXajQzckvj53WTMjFaEl0NFt53ecXqld/eyC5VS9bwn/LNj9f6t2+RB5a7AE8ylBh3ZKWWMd7vi5ujtUWeAaROZrmq5Qt50iF5sts9raOh9DQqKy22ixFHmmY0XU39PqONjYYuPV+dhcNCqJYKDhLljqqErfWv8agFcr0fvnHktLnZN1AiitKoXGnhSjYj5w0MOeUlDy9Mkvy5vktXhmk2PZXstdJozaSHNDHsD+MgQT0Rw7E378FBRV/1/n4p6b9Wh6At/tcxoR0S3kd5Zpei//GGTkmLSmXiwyoAH4H3InhysXsviEXNRfEAwrDL6b8nRVYybBHNrtcI/iI9q/1GXQaJkk/KRKAqaolmavshn++79NdtGGstu2W19EwhX+4MyWUkarSPfXuBVSqikcNgtPrHn/rsJwRttiOFybwfMZHVBWq0JaycGHs+SN2CkceQ9xGohiraZYpHh1lMjV5ehagI7g73NVgXBY2HNduj7GqMWWc+fszbnkyhkpXBgvBIppdVsO6JAzyqjwfzGYBOkq46028CTtMToAt3iRKxzXjWALCLTBSywMNta7JxXB6YIU1RGKDA4Tcu4+sNbrnl7sjtUrFzVNm5leWJqhLeTD9kakP/j7d3cxe1YPlcBiqDebJJrhkt8vEb5rGt4ReDq/5unV37J3phZXlz3aG0uNBXn0ImMRZeLliDIAjPfhiK7oDjl9zDSbeWsabSPIafGmDWywK9ICIgWXzk71s6dUoadcTq7CkduVvSi6kLKLUzKwRzIR7H7vf7e81HOuNOZoXC2D8L+nKGe0PfRBTOH52KghuJU9ngBxsshdktgRwtF0YyrWv20cuN3tR6cZtADLLC2faJHKAKHt85f9VRvX5Wxg8Ex1O7AwDLwfq3uX2N+Y9yt0tJPHNvBPi2AprptnFmAhzqca1TNHoalIQmiL3gXIDiC6d1A7bA8tol4bbKF5vKhTgGT1EuhJCYwdXUd9SBi0OTHhjeJYVmiwOYgo+PsiZOY19Tn1ktRzvjw6ixvz7vDHZ+aWY/hkglJdFcMtYVq5t2uMA7nsoJ6SPDEcLWxyujtdtNWRXSqCHB0bCK0Kg5C/lNvcMYyZJ6ujjlL0unEVM3Cb3DIYX3FZ6pV/vNkfZqodD1FMlaEzrlEu5B4bElvR/L96mFfkih+0c7z8OqJ4AZmHAWSlWOCllHEO/7SoX2fK4J26oE3orcHY/yLWujsbtY6oFHicdgZ1QuCsO9NcG4RYL39VM5cuMHMmPi49GzrHTGhlj+28NCK/JYsL79ObaSFGYgdoKmBiutL2GRNAF6u7LZwsRqt8aQqlR2gP3zT/10//n+9LzifHbffYltS1iQmPBMP5EDIOSBUDCYbj3nJoeagnlV59RzV2CfskoWNpihB8nWfsa3k+bzj//68/njH5//86ee5lI/9TxV/VR1VdXT8xTYjmHZIkbvzvPr3T//nIHVSAIKTxrSEgq7jI7OipqSnL4Lbl+wkI/SRUGx4psPtjEiz/Ro3xJeKJeMFkh6bvdzwNeE8084Hdy6HVAa6XBJU41ZrdS+mplDW0SxLjDPp89vCalSosW9tFsJd9jMM1aMxdZAUQpXPXCPX4epj6R1N8RhYLGFsxE6n9zqS1EGHAnCye5lx4e/0qnS9aBeR8Uu7m41J3zoSwEeDKFKtS3UlmqBx0MSk7O6Tmd0fKoIAgWOdusuxl1Sc+srl7qhuJTQLYzRy4ijRBpwAy+ajrGT+WvGOcCIEr7o5E1rpyzgHajs6coIScsCDlZf35UgBtB+bWL+UYuuwHNIGV9MsO1gKm/PyHmJGfhoEH7v9rGgYmNgO/V/aQ7FVEV41DG1lnaTyrlhQM0fHrwIgxQkjijArEEd1gqdcrEBNeArydTtQhpUzSv2khkJsR7RKaEwg8JA5cS4hR70hlBAiTPvB8Rg1qPQXTPUQPRfWW4RO4ybT5xQIuaejpC4uhd0toqlWPiLqE6oB6Xw2WYkVCjeWGceGozacF/SD7g3mcvSEis5Bdo44RvxIT8hEQSB3QowT/7n3/+dUKY/VWhO001RFLipU2ULRsnC3C/El7uxDEiRRyA1P0eoAvkXC/vhsj4sH+xYSVLRU5BfNQVh9b+E8kyTnyqq2FWdkUxVu3vYSvgUw/cErkC+5sMxOSnmgw0t3c4GJIcU9FXxMxigcAmff26lpPnKL/9tVz6+IA49/aPchwep899cEfBV6jVoNY27VxfmW8xTl3xqmQaM5jVSD79jb70woukLvUojjIzg6nBCVHz5CrJYkehpUS3jxHkpVb7A4VD+NBw0CnfzO0hqLzzIEi/5kxvbgu8VtQEo3xvCelKYAO6AnkVjtwyAPUORq1LW3rzgAKEHdW4+UEjFOOxsOquyB5K5LLVCXF2sjcToAGgFlOEXr8hwUgtXvMajyEewACVGIjUYxxqEGGl3HRSKTbdGxtNmGaN3X8nxhjkl8BUC+rq5nDnRiSOyCcbiKDs1C5AbW53ZABU2wOZslYqlXiobI4XFit1eqMsLhK52QAbLdp3dV/V+9n3fzzvmC93CzszOZ/fHLVvevJvjdcPc57RYQb9GWr1rAyossp1SEVxVNQur+XEcZHSFZjiqnmXEgnUd4PjCCKCf9naOx3URY0hZO3w93mnHOQWPjq0kuuvnhwUUuztTiUk8RRFPVyrpKheWgJI3alCArP4q6yZWbWFsLQJ3P7si2uUqiIwaUxhFA/TkTSDwhA/AzhLuVD3AVLXlUSkIi5UiL/4PjJyyAUh8GNWEFdI+4jYTFXI+mrGI6ZCEik/M7ZL973FAjsZtVibY7Rde9jZSwkHcYQ5d+l6ZEEEGdhRQq0rCO9Do8/76U3j//Lzvfn7NrGeLHeVxhcR+qxUv3wxCMVRrxArr8dGgPBgkyBlGY4wMqsVraJlVvYtGdxfo6+rnaaLr50+oHa3RXT8Pn+d52M+j7gfYp3tmZ+cfs/tLyylPCTNyVGq2X/FGChNJ4cwLlVH/++PCzb0ymLsj1ffOREFvBLMZCj4yb8/BWy9Zm6FA7TqpVqsX1Rdj1ZjZKhMyjoD6dm+roRAwrDgbBYBdxd/z0zBERGuxbCCgUXjj0uwysZq5Dm2EpYNmCNe7MCIcIS+UqhdyMR9YzjYDHwKunCxMQFvcUhYDsOwOviCH4CRKh6LD1LnmkSwn/EZjpCrTu9H8rWkvHyia3fK8FnEHKJzuBUgyTPSnyXs1Tr0pS/mlJ9aQ2NBN18laARR22Az/unnxKSZc8LeG8mh4oFgfTMXztyrai4rsrTRMTrY3BB0iLnBytBi4hoRuteebF1LiueQg83IIwaqIPiypCFZPTyqL8zTQHJNXaCTTarOsGVx0IjPCwte9MLljXa0b2hBUmc9JhOUh2rnkOQGjOJdRVVqU5QrioH//ydWgV12RrNIwtZBmNdoROZrlXgPQ4oTtoWkJROWWJ8Sru5UYmKuqowJLvaQwfsgJ71tNiZjzzmrgT7gpf13NwlF3ANngFB66ZfaQAnPVCbC5JbGoralxsVEO7acLk+Xf//7vZQBB5GPwiXGaIH8J5Dv2z1i84ep5ZQtaSmukknZQmY+GsabCr8THjEf0WQqjBVu7VRxHtpdqio2L3vV9VMdfhSdoeqKnswe9+OnBO0FImffrWzZgh39GGi8YqAnFTp6pwieE3xLc7V3LaEYnQl/faKwsYaoMP6ZBv5PH4nrHQl7oGRLHFL2CYiX2vs/e8opNhe6KU67rUSiG2dTa2RyNaW7sa5mUnxnWjmbP9vwfpoG4itmHhHH8e8X+F1i2pvl4LKuxU3/5TCB3ZHuw8qbK27+zA6MQ0BYeIRwXnXxg5YZOTHSPAGbBPVbVajE05fkoXdSFBKS1Rm55i2LzyVCV8z4/Hjn7KhMManeqWWHsDVgb5C+34LgAwpws+r6cg9JM75V16uXj7egVD1nkd7AM8X3ZWPlaO4YhrGfA49pSUzMu1JihGGnrUkmpcfSCc4zvfFurC3h7Jg5gn/+0sqO9x1yJPgXXkWSLbN6sFqr5iJxf84/P/Pnr8+f72Y8+472kA5ocOGfut3adfEaNbJnNYKql9n1jSRW33sweNUtTNnEWFsX2sm0elBJ59E+3i6F9PAnOFwsovTJ4Amjo8M12wIMDPofQO7uQ+Qec17vwVlexn2e7f36I6vLRwu6nILKb5iCih0EVuh6fFSiUHgJWp+HMlYbF3ZjuCvsyx5sSfuTKSQYuke9izJ3VCMssiU/8RSgUei64xxFvnsTZlQqfIHZ1a85Fp1C1r0LQC1U1+/KGoXgDNrM2HeyIhLucz9nbefeVoQG5Jkq3GjREwBM+AwKm1IixJBWn9JEeq4nMkL5YTQ3fXc2H886v+fz5a95f+/mI/FJzXslmUblczgFTnjeWKmwByDxvD4FLXBbV+wGOncEAAQAASURBVB2tiCGsr8VRcqjHWjO3e8uqnkJBzX7qh3g8SeyHDgpRabe0AbDYtJOevVyyl/oD0uRcsn/dEifHM8uhkr68dvc3tDrcImr3XVatiEINFXNy2GTtDc8L+49oCFifd9qsZawl3rRKtEYgJBBHVyr9CQIfs02/Bhyjf4J9rpafuBz0QRPvTOpP4MseuSZLNcZdKh4AQvL4JIIbwDxyBYc0uDYzoFpsx8SIXv+/PccunIZvApgVUfg1GdlnEQYs3OiGLAxgaxjB2HKQBG1tZgmtGyoDgumloxsocVLm7oX/aFhtc7D3X3ZDzJsOq/COmlRWMlyVd0RXG2RoaQK7qxgSITyo9eSDNbS9C3/XGg2nSCvUCK2hGGOdPIzGoVsp9/MZ7hZKw3B6+f1dPBvqPEg7Lo2kS7jvMHlk0GA7sz+9RJznmpbYXBbKdhedTEu4wM4UgfdvRIklOd+xvuirK14jBfnVe7UeGH7YWi+kKSJ2VTeHzE2vu90k+g+kT76ny0EIHOlHGIKoKdXgm6CaHRWkxBKnKonFxJKf+d48xDcZUqxSOQAhUBL/YC30seFepjDTpnmdRkPlPI6ILPxdQ1pPRd1uh6RLPU5vBeUuif/5H/+jUq66YLS9JFdSfBKJkt8V7TxMEczUoC4/SIyklctx75NDhlKVujj5vqIVnpvokH9CNXu19IhxM9VrNdAB70CV/qj6eR483smH+kpQrxbGQtI4+LCywCI1GwR00KP9FvRRk5i2mauji0BS2m0nWDVk3em3obZUa4/eAWANQASfkecfXqL8b+P6oVXynEAgOQVuuKuOyMMd3HJaavSVrjpd+t/5xnwVu5dLmmKdYkgXespjmOO3EZ3r4EI0CkDDUZUBML8FUGTtvonJv5/qr+4Syce9YotdjsNZUBendfSMQy+9R6JgMLhjVEALomXE+DYBLYIeyvkTvt7OQX81evpPNyLlqHmzN/5lLpBNB6THRdQGIKlmpQmuwT45gH73aDrnu11gDinBNV2igqe4FwjpYB/roB7uu9tRgMPXOyvYf8jhA6JoGs+BsKRvpcjrUgwEy/YdiW23DgALfevs/hKsVmqSGHSB1aLzvVd4rPTjqrQf/J//+PMff+6vP2dW2h2Fwc4ZbeguMABgud6cJLUIaowtrFHa34qk4CLuTAZdcBVRzdiJ3NgRQkvqH2MgqMK+NI6AMPiBCazrpap6Vc0JwnjNFmZmFCwQrOcHP+Dz9NPC00WUqshqEqFiUWinaFQ8tM2StlxhhX1Lp+7/Ih7GZV36a+6Q4yPIFkUKYMBSbztfazbB60WR27Rgwh0072D3geWMWl+CjJ43lNWqGZwRQecFyxKD+hlKB894QuZgRwGeYRBcQee8a+4mTUj8XtoGPn1C+CjanV/YZ2kUIcEnbqWUjLBvNPxo6TbZ99Vyd2b569f76zO/Ph+b8AxCTtnfxMHbv/MLYBmG1bcJfllUfwd7f01elsOHr3YFYXykKzes6cWCnq5COfnAF44BftTSiblNrND1YNNF1x+U+inkMgjqY/HOfsFUC5vxbdEUNlXWY00BGq5FKk7uZGWYTTqKtGUzAb2LzDBEcamZNfBkcMXmFxSFt6pT7udO3GCtxP+SM3MoryeiMqiUomqErneoL0S4AmohOUfgejGEPcCJALIgCaeUm07SLrnr2dV893LAC0X7c3KDGTyqvC/fdod+OJ91RkWoEK/D7Ta4H/JCdY2By/2COYh6qHfRwHcGdgI5ghG5rrCWb1ekJ7TWaEwm73mBcZQ71iqp8k2Zzpxh9w0u+u6wBAf55jjqDt+NloplSpxAlctv46vbQ1xj2lqrylDwuDYBJVuyc2iHOWZq5hJJvVpbVE17f6WH0FFqjCoKwPdj++L3vTuEm136QZfvKehsvbvR3DChVr5GnPaXlkIkZ2l/4uvMbVOnlnznELuyK5fzin1uScBtbK4H3FL//rsGOlcvRoN3fI/pjTrd5GM798bIZ5ZbpZm+GjpsbvH2lhHsFaASP9xyp561H26Ttayn7+A1D1lbY8oDkJrt6CQLLMzuO7GSvXD4+oXQFLkDuBRu7shjw+LPEHIt8j//839U6jaf/4cZCXap66okSz+cj0irGE3bhCQuVwUSgN3rl/wjY2n3u1+ZG4/NLz9YwHqMoAvO79uh9RROeTxIyrXHTz1/+wMINOZISkNEKYgsK1I2D9pzFiIoBf5SyuXSTqTjteuGm0Dz6hY+5qj0BzmcIBC74J3nCiUemnLjwAC/8s2RRt/SmyIMINj660WqIOf+vwgH9fr4lkNRUz0jI1TEHL9NpqHP3tXvfZAmtTJwEEkGc7H9Beu9DPd+ADRvlfOR8kLTYHNpGIylfYtU2mzJIra/fCNKeJKjQw8URK6D2fOB4YKSN+TLkKX2jG2DD7lSMwzBSklEUMPvn8GjMnyqH75C6oZ/26VoQsPthFvLiv5rz5Tq3YwJXM+/AFwJGpOQcuguU1PnoAX0WqnMdeGuzjtDVVtz2It5Ve9B5TcxHz7hILZQ8sRq/nFWG6zSYrsnirDE01dUTiMiGhoaCPUaYXVg0B+3BwYXXhAa4tev99efv/7x53zemVc7XojcHRZ9oSxfbJcc89djsacLPGD8TRbukwqUJ9wUNDZzSap7QVvddZ0LCdoZRbS5cVgE57D21dhBazrPX8TqmSre4k51Idjyifq1M1JtV6GKz8M/urqhEvkAeEhQ1baJomzMbQJlg7So2p5n2j1xBM/SjjEIQdhSVDCSGqD20xbYukEfHljAKquZCKqSCTHuvVNChhJAPzBE9uQIzb5nWanxzTxFhY/28aYcDQtHlbAIvXgLT7Klmb1iMmrSaMPHXeKVT8fmi9PwiCXpVl9LhKU7wL4em6H6eWS1D/zCO1ln8JBk/4j14Cdy9dpEt5AwM//1az/vvIN5rR6SAdgpZacaNgyRiW/xwDvyJD3ke9HcumboCfE5Uj08FVQa+Uaj2dR0O1dFXdVVSjiVB1tqV9390CxudbGe0qqfPhGzuvvBzqE7d0EG7ox+CiLqXYHDhQXe775yWovMHdxP+EKZPm8u88UonT10swo/YgxsgqayLjDY2YK++/11/LlSFCD3PvKW80e6f+hMGmV0uYEP//3DfEFBYau04APnh/L64pwUM45PcqJHCtEcgEI9/Y0pr5zf1k4g53T+NkgnX/nyNkYDpdTPEiw48cb3wdX9PqoKG8W5RXVlKRb2ni2jefPWwziIaZsY2cawgVuRG+jenXvPZRfe3Yg5DnqnrGT3KR0Ar1iDDQfq2/F04h+diVRgzYjg7Luq5TYxu9ecOzq7RBJzaREWLOet5gGQGQ0IBogXpIU6v3Rd+MmQneHm8wz7/t2vdTZP6zBjk8VJTf2GKU2odcA4d5bUzZtSKlLL9xH6BEC3PcFhgL6VP6SO3LQAIkk2qWaD8MupJae+cgWskvTql15PAMxPA5AwwgAsQceBpLUK6449lxoPjYPB886vBlF0QJivMNKUu2XceupnOQXFkcjieLRnBRsvhxmJqpTaBBJWCWwN1QpUnyDTa9ROo2YQUKllFvyPv/9bWmjdINLfyilAKqXCN9KkUstWNKGIN5J/XZknrYK3UIvVWlO8gZbSP27sIt+Wz5WoY2kDTzqUxBsn9IFTYrmlBvdh/+2fHahdVUaNF1UYvW0ZsFx864pG8+z+VMlrIqkk1XiyzX6x0pxzi3w4ZAWeOyLNkYENo0mpG9sdjw9k7lF8rn5StSu6bKVE2RTFgSpcF3TTE0Gd8uDrLPLIUjjizOFYoauyk2GCzYDJrkf3fM0nxgQDFCWIzpd8GmkCNt3jnoNXCXLye4WEDPJ1aQrU79fpahZJ+ovAg0VLvTzAk8o0aMOzEKLeuR6Lh02h4hzaL265ilcmnq5xDMjdTtHBwEIsJ4mXfZWBi3z6mcyq711lbflwm6VTWOmQ9wgHQpegyjYU7aDogVJHQFouKG0inRx969bWsMVCRex2CmOBuZjIOk7BR8TroVtilY26PkpnExFF8K53P2bMpSSnnaxSZyyAOxoaTijGlF/EUy2+KO6sJ4n+z/96//GPX5/PfD7v+CgQ9Y7OReqJrsH1AjPv1Vh+q9+DXIiVKKkgaECmpb59P+jusuvxFnBBTLbx48jUcMiSWXHX+YY+km8F6zRcVm26AqAwrGd+vSqJfLq3mz/N7ocAH/SWYboFunN/xihTIKqLb3Iq3AibgrblGU6hWhui/Cg40iOux39bRVffFC46Mt9+WHWKlXtWVLsKqijiKm6fanquVzop+fESvMiNXJ133NBdFhMZhlnRPYfHEPum2BgMQhosjOJGFZoPTY+m4mC/ezjUIIidMWf1Gb2zXsxPlWBGBRvLSsOqbQrBEevjULst7fgc1O67AvfzmZ3688/3g3fnnTe090FTLl1U4jAabdKTQYlEJNbWW4c7uEerIlbbbn66B5/Gj9FMoqpKHqbN8gncvoj3AJ1VsZMf6Owyy8Q0tLUfXoj9sMnnL61Kg2rL70nMWGSpej1/NSwSCM1q/X9vxey+WC+3tVjMFQ1i7NlafmhRzVWfQ2rgLLVwB8bc3RnEXSE6D33XEfiQlXz0O+V+I8dxqysiIvyW3VQZ3hl+W5wDXtMhwKlY+/IsbTa2rhas3RX1JOy/KbRjbAlv/+iK2jOIQFTJsbWLWm27KKfD474w3V65IlHcFR8VzCTw1dcSJdBDHgxYCqKWwpZthvSoNsvvLYReo4gFjAQtbphjOAZR9mS72oHk8nWPd/BzbP84Ax/LbWPUb+6vZ2IIWMQtvE6I1WLCLpU1gTbdqzwwMkA5KgydSwD+Rvxyi1xDIu2QVkyE1nGRYahxIae/FPBi/EwIbrI43atmvgzv/PGlbD2ZSW1wnbBxMHsiNfSF5Y2e/UaEvbwKGpdgBuuMZLmtKJQwpIfruQtwAD/ohYYwbT44zFLsYKSddCGSTAahOpGtFbjyq68tRP9Y3/P2//8/Ih8aDvEsnqc6YiG30KlAjbk2CtfqQCrU6ycN2f3gm7Y+QEHE7tS2sFsFTiUrTQdqb+nB2T2xhguFL4rJ//yP/yF6u+SRE/ADM9aod2Fc3m/OxbB3ddwzy46ypVGSXg/F826O/CtM6El48vdtYARvoB0DWytaLh+vlUlz+JKZwUiJ/tsfTzeLYNtDQFeGWeXlGS4BB62+YEpV4PsN9JefKsj50lGju7BP3Z1SxqB4xU3ptUu7qM4CfaVY/l+RoKMGrgD3MePSnmnWcoq4Cq1U+ib1HIUA3uIJ/EsoqzUckJtQiKjCQJ3Buu5xvIKzMpMlNOtxLHXaYNrhA8a6HCzNj8MCkYYRvkVU+ra86sa7uX7x21qqNjkUbjV9hpNPQrHdZaaM3D13hHGDon+RZ8hY9bKqepiCfAETnPS3cymju+MD/ivIh1egt10uWXpp+Lb2/EA8Lk1CdttLU8gtwCNC3BVWdCWyY+sAJ3PkLIDAOHxX5ukIrWM1jp5JV70N7hZrtOjCgAj3WgDQi7eOfTdSh9MO5sS02EyDeuxqdr1MqNAD/XQtt+D3tt1Nqf4oINAhhfngg/3zH7/+P//zz/fX5/Ni9eo+FmDTvVsxuxvAuH7ua3uBB9+W8z7AxfZWYDxAQw+UyBVI0T1SdZrQC/+kCytzNL/R0HMemAD2Kniex7+8usGhhEW1rXJWemiXT2YPoJ6qEsGnyWpqmfEGh4YfSnfXf3b9LjwN7SbcWAJE2SHtLnkujk8eccT6Hv/YuwYYXiTzbzdfaZvPi3XKM1jqVJTWCZyBxwnBjni1jF08bj1sXMbG6S8g/vUDugND2PzMnAVmglQJNKs3goLr/5e8gpQkgm7Zs7ECd/RqCx0wzLPpDxuD03xQBUegCKtpYHvz8yVpZa5ytZBq5h3hnXlfvO/76xUc+wZKL/QA48PUzOguohpmmznPCFm4bjKQlWNtbnCU72Qytz9/ugBiaIUNyFobhUgGoNgl66faOS+b2NSKILTqqXq6n0q+UpUNWB1ufkeTZjLu0wmcAtVipBqNr+EUfvw2QDA3yKU2+YNVnJW0ZUsla0ZfjpQa1Y1Y1a4VUJbxUaagNpCWXYyupRyoYCwcXdyZ5N3toqgBulPjHSGt0gUTlDhgcdnQVCkKbHMRESOZTtpNYf49bQ04u6QzEOVdlGcVcCDgZtYntAaFYNsYvbBykRJM7zuZNFEUMEIpCVe0pB4saDZjjk7GshWnWar3QtwG691lZ1Y5Yt4PoTY7wmWwYS3fZCyUOJX70e/VRQyWW86bT1wdBc0MqvUOVLMvUgv4i8bwu+vU1XznFIb4jQcboAnqLOMHqeHtldERaymTjA9l6jDdhauzRnK2pXCSwZn8zvTk2Nj4XcZoZJhw4aAMNhDSI17QYMthL0lD7qXMNrSvPC2etTdG67gZ5Mvkt8jzQiVhk4WJweSTilvvviFbzcVs+SuWv1mIJS8TUkS7fbMo6+bOOuATpRUfBOepUGM4KUtQStNENkt0VaielwD43JgKQ6apKCPY8UCXnd9HqhZEofQFK32dJo8bhudGYKGNyv/9P/49ULP3030oHBzr5eHBI/nhob7Y6YopqthYJxi1NLu7kYOVRujVFhGBgWLKUnihs2vsqc5NjZQhUiGDMBpimVK1BobdVfNTTzUfWKRug1TuaK+/00JQeFdkaEABhbQEGz7Iva9O7pZ99JVgyx3Od0rnnQMiTRFUc95v+jqDd7hz8HVxvU/kH/dfXYlGqZOfzEOS77DbFLalnGSpsXO6MQWgczhduKK0J7X5ErdaNF1rYohyxxQtnoIYGAsJXHxCbaMsvr/9UrKYs37SIKeDUG6TfJv4wUzb8c5gBcA70ZYunC9OmskJBT/UBTxiLa0qD6gBAN6uYLbInaE+ThwVF3tRau9iF7S+d11kMyTBX8p0MgsDPDLoLy4Nt1/r+NFKRHbwNAk2t363O+4ULsKdh1tRox+yRsGYtqFxS+In+iKd3ty8VYnonBoQ2/pu0AqYQ0DqYZGZV+0WnlG0EXzI0Y6wTonbXfEfn/n8+vzP//n57IfggJtY6CPGJFRnkaTF52LhaSFe9BshlW6oRLtSgDzegHqVJKmmq9QL3iDH4MnzEORTWlXjDC8S8Ax+QbVAq6pdLQzRItvKuPYeHEuhpOU0sFUg2Y8gdv2wrfmpp+Dy34iHzMCymqIjARZ7G8Fv6K5UkLW7VUzRebgOJGFcByMr+Xhke3fhFFT3+WLSBByTblGDRdb0IUyyG993HhmDj9RWeJRLZwMKu2ud1d1gyhYwrkvPbfRZjwC5OSv4ZfYtc7qQFhx0SbNe2oR9+MZmoKF1oyYVi6UGqhqL5eoJ2KmFT2kWuUtKqmDHI2WiYuKlFsCr4b4zO7OjmZ3RvO+vAWz/cjhTykkKfBU7rYO2Y+xTFPk+Ny2hi4qES1RVWPdOAKuqT9z7HAvuzLayBkQqj7glSK+jtRUdW08mXTaL5fSSxqM/qub7sAJneoYyUoAAAt9XxR06aN0bYAIDI9A/VCsnq2HmKBDYyxGYyhuvRtvUqkzZdzmU1sgwJLDBfTyV1zeK1XU+VQOkUTYq5DgxmIsTUbrMtJ3LBZ/SL8ktjjklZ5IYMW6TFK4w4OHA7jeSqhlox90IBA9cYwC39FpYKSM7C7tTrMlzBMw8mIGnnY085517I3mu9df3Hps6otoEUNP82XsKCVCbLP1vF/PbkeaL3qX1nFQg92RfLQkCAzwustOwA7jiRxHJuC0G6fE+dvVrHHGrYWmCvuWMiVRn7TYz2JpGfnML+krmlxZylyWvY69hXM2fDJKvAuXUu/ieKHtmc9v4vMvzkRDG4WKsIuo4jUg2rM9N3t+WkVZF7ZlfBwh8eOazsogCIQMC+gn+fKd/EbCadx1uS2U2fW5mYHcIJEb43meeWUBl7bdfIhGVgaurCrbp8V6khxU4qIqeuFFJI82F7TAd07sWFlwd1WRMqAB3xgmWpnpNP6zno1BB25Lkle4b+QKH2I9AvQtAa238kv/5v/87L0zmqCXXOvf9y1WYWly2vYd5O/1VoafzCcJrhmhrhcEZuyRUi295Cuyk2TD2tNdBu6X2/vZWsmYldkE4o3a21XgoOWOtq6pzvD4GD4lQGPvapodg/UGAJYCZ8rlu209FkH8elMVl0un07gDLwnzBx8cJERgikhJRtZybRfQlTbyhQJbqLxE56XKt3bEKMOtNf6FNmDAEUzFBIrLSFj77An6hyAl94jIhMK2/H7xalL2yvzX0/ms8PMBoS1Cz/8X3lSLUeC6E9APSRG1OQJ6C4cutjZ5Z2ZJ/KSlOctPm0b9r4QPETGg+df2KVRuyNQ21mzWfIuFvfHqsRx15H1zSq/OeT11aTmKw2aCdH0LnCFd2rEu0BcR+voLF3BX+taGFh8FH4KMYgkm7UqD/0DXBy78naDnfyHoLVGG36FE5e5YAgze82+p4DB+BbNd2xcVTtfyIP7W2BDZ/ikLbFMttldmkKmibxcWA//j1jxnsat4d7fvu590/f31e7b6yweDFyww3MY7o3LnUoCQLtSWN8Q/CyAPIEuVRc17XlwPrb8aTHkIECbzEj9VwWrC6iFYYIUra/3XId+Tv9di6tt2PVtXFJZueAZjWF+PBzwCeh5ZUWUFI9yBuG1JjbKTLpgGcmYgs/Fhw6jC8iRHAG2g0ezG+uYUVoVOjPtBftKupwd02kVU3wN7AgnG9DQMFkl2lGyGodKIBR9WitFOZC+US3Rc20d9BdhcfvEecQ5HDC4jEOnIIN4mr6SoodmZXROk7/LNIajeMpcvA4WgKPZxWlQNf04N+h/3gy5UZVXCRtmwHKu24EEzkh8bKEaDKqRbaZ2ff97M7n49+jd53QFSVhxNG97ujaT0uFrijTCWfIJsKZKYrFbfYno7BFtDFKRqjWxQdpRWgiXQXoKgz7bwZF3BxWLMe9mIaprW6wBfzFJ9iP41roYIKkcXGvlHsBfRDgVjI8Zm+P6/s2Jz9+lhKs1pbj+dM2ws/QiiB2JZAu+yF5W7Tga7uf8JvW18CIYWWy+K3nUmfknULj6jd6Wo/eUtLw1fxvOLpNs67aXIG5V9nCnAX63E/a2KRe4SvomWnvWJ7oK8TJiCH76QYD6sYNY/XsBk32sOUchdCcUeL0kw1dBKm8orNCZDLGH+ZLwWp1U4ISgh5EduiZ5hYUi+fhZvtcyWrYKm4zjIO251NZuEwW7I01mHOBnX2A/GIZe3u91nCDnMkwcVqzOSWB9w14ukEeN6XhSxPdH1gVLtUbP9s/wXgLZSKKZwOJx7Ksah2Y2F3cS5XXlVV546q9fc4OY75c4LyiUXMjrsOwxCHI84h1Wk2DfvpxGFBLorcgCaCsQS/qcLsGuliS6MxIhGfQ3oFPxyMl4R/Iz3AY+WUZGyhTe3XCD+NQNhQkvpLz1aCAQii5gwa1hfnHkj3IAKTjPKvBgY4TRbBF8JkPQcwhAinv/omznwsS1W8WC3Icyex10Jmb//n3/83TUJBopw4dih/UPTj8jyQqKWRxBgXskL0u8CFBMAIg16ZS9caADaKatPf1kaVrsDqpp2Frxkg1dKWw8XulEZKtOVLOJvmKVQ9D2GZdz+4dZc7DyTU5BvVY36DbNbXkl3SplH2xszgGL+aMAKxKvhy9bNwoeqHVaNpfoOIA+DY3egSROZ5LxbPtWQoGhwHkhoz8CK/N+330swrtqghMBmpWCf9Gy+P1xWWePqFaOaMXHkMoAe4SZu4OPCuaiFO3rDqgSBT98gaEyRVgL+TBfCbM6M5vtTLLmmqHQIT9BQAG3gRu2FxtrCT3wUluCjoUE6MdCFxL04EQWxsmqhKYJflvrycgHX2jd51yyR555jBNbefmKVgUnFn0wYZXKYr0mRUnnJqI97z5OwU6eyf+Bc8cZgGlMpzzvymDgxLkt5F17rBPMYC/DqrCQutuiumjroX3mbx2TYvPB4pRXtnfqrGPv2deWf3F/6/f/6aXQ1nBb3vrIR395WsKvCpUu3RbIUaC4oqsfdXy7qlzcB3A39uLx8m9cyPLZWtagqFKQh4FltsGw6XB5nnOOjmDjvoKEN0DlgoPlVMoD8JOJCkq9Hb3R3KbiJz0z719OPM1qJVwLSbdzKWYc/mHw4UcPay5G7b95Jo0h7A2BGQ+rE0L9J4ABHHFv8iigTTopNLPLIR/vHgM0MybiCQBUysVYSPye+y5NnEYkQc7B10hX315o0sdLGtx7NrfA8Ue5vYjDfxC3Q1iICDZhl9degpDneGOUtcAFsK6E8mwSO//KXFF3cKy/EnCjpFwJpB1WItVPMNsBEJG4mklKovTMgCxGCoE0qwudjWfvbVvr/eX+/82tGHkKfkYKHdxfDFr53esXFxQUoxXhlB8PVj6i+ZT16reKv/IPXwEMZrZSugKf1QmGg4RifA9IsOC0vdCeBJxQyw0eT28zxtoQOJXZmUQBructqZR5A52DNIMot8rIUvyI5zY2oz0qo0WXuevKSTVuxJTiVdqvmGcTwdh6cuAys+cJrMfq+msCk4LWrfBh+KO0I1Ozn/8VOZeKy7443YRANSaXNyKXJ7aiD7LKyPdWMefJl6iq/QghZqFBIvJkNxvuNqEaDH4pzQLNXK8UL1Ji6f682RQT2+q1wzr8m5wHX8rX3k7nn7eHSQNXa1eH0/GrR3ReVZlg2DIaGXfaewgMk2kgT0zIbHJr3NxkUcEgW7YA3s5wGJb0qo15dRsrMjgykEU1Ew5LqPJON4QBHOHoVqeezDgapycxNcSooGOMVjkHd8N9W3asvzUWrzibBJDmt1mevIggDGXpsk4iXU1y9qysV06C7hiUH+ql0cWohnpsyP0llj2O9AdAmvtdhr34efWipy702mkJaqPc4SsGbxO99jMxcmPAeq1pQfUQFPyPa8N6b9bp90j5eQ6dK8nOu53QPE9emP7wJ00zRc7aOd/BqUhRQ+hgtaVCP+HeCkOzUQZnMQ/+d//NsJ4ct5tH4ZsNAbXheRUgQh3YKnMNaZf9KT/A7F8WeIDmjNnUEXaeS7aWC1pNt3xOCAK6qlDOjxKVpAsGDhzpG0ZEZXC+FsuUXy4YOuhidA2oUJPdqx+Bnnh3A6qJPYvQVy4e9ANaEgUpHf++BBb+ac1iFMgsfKMZ0xiwQ8hK6uhPqWxzJ0s4Hw7yb57tt4o3AdO9E68CHmtr8M8Eu3ofpOm/IKsUWKgsPhjOz5filPVtFQpxWJ/vcKAR9R6ev45Qiyp8oqPMBrXSgl98AozukE/TqPPcVXPkfdrjeM9mqBpuZCPRZ0EIYgW9NSoJOwZotXUpjoTJIbZP3lV3tFrF7yyaOqPHe3EAKv/83JMkBHaGPu8lpiN+K+e3lAPnxsR3ZE8DU56OiVWTaQwY2ZCBbX+JoA2fHVGf4UcXD40sMtPObcMvLim4ng1jhENLIl3doh0HrqadtNyUSc4H23KLzv++d83l/7+TXvr1VGTWEE7DvEjOCUr+IjvibHYUY1lhaa9Q/LPxeU5tkLlyoH3qVtEjDrRSCNcPnyuATsgor18gM9wIZdKxVbU+Jb7AeYgp9VlStDPgWii2BlbumDVutho/hDvtjHH1sPOSSr83GwmuTIn2fpDsL/pdg6BuqQA6fJJ0IPPnDjZczi0WZjGzDYBubaDEYg4mAnXwXlp+X11cyMxOPeGDlOWg+6XkA7tgRi9eK6NXeUlXFkSRc+nZ86i9tkea5rfp9GLZfZsfckQGrfyDLdUHnOC38fQHHT5yb40m8knX3rx3HnOGslYRNtZb2jAgLDQQaatvDUYxbJ74Q8gHU6+3fJhxRm9h29n89njD9hZpYYbX3qHxhNsnE2iSCU0prl7Mh5/xt96YrAtIm2kTnZJvn+S3HExmgLLMtxLLsBhG+ARwmqSpSJGcIFCkm3/8Oe4Ke+Vb+lvyy2Iwla5AMcQwrZtOKX7GhVBzOL0ugFsNgpSJ+ZK/FSquGrZysjSZAVSORrBFHBXeJb2jt+I7ZCsiejsQ3imCQl5TQOtCWx+gQ8vmr9Pif/NYw3VCzsu1FA+4tR2LL9WS6579YE7Uys/SZZpQRNXpzPaCG/MG2lL9J+dreLmB2ydjwKa3edzVk48oBiNSbOXV/hsOMrs0oim2CCQBzR0cMpKmmiJNz0Po2CC0XdNSZ6xL0R/cDntfYTtDSprUYv9xkNVMOtNXkRpEAZfOyntOddhYcWD5en9/KmtTTHELWf6O+zS52csjQLiknZB5GROb9H+gS85279jPtpAnNM9rKucDCmlUZLhev2QzJFnPSttrZQGqp10KKt5iMVVNYMrtDwFFF3/k/p1/puDcSGZUKsHdSqhUEuUxMoF7h2s9Xm+6VswErFKtHGQHFrmk1UtdLeu6wTyEapg9O65g3zYtx+g+c29l2Yed7TJ7iC/w5KcpTQTefNtsqZFQ2upUUgvpsuoxp9wkT3mOZ5JXdl/8ff/z0iSDDS90Cy+t46qVYLN7D5EgmD3lqZ5To9qUFJyHEe1qzPlaWTed1ELxyp9B2SBEJyjKCgiqaqooVbdSPNzV++eXIvDKJ3CWhnxBaie2b/PAXiyf5fVe3CUcM8QNzfCiB8xadl4dbFt3yLV0SZnXLF2MpxJ8E78f2PNb6mTohvzejXsYZsTjUecTnjuoYOlwuEJ1W1i3RmrQJR2W0A928PYX3JpRvbBM78fiuNcMm7mRkl258Cz+U7i16KTPNu2ZWz7fNRYMWsrj9oYMNo+hKNuOsO3RSPWlGrhxaZJmjOFUn6pdVcGxH/FSxBHPIrWd6YYEJd5XEpDYuhh/2yq741/WAtuzeJge/NFHZUIUkqjh/om5vGqrjOAiZtVzmvJ70ViFaZbIzZj7ZzmPVywEpUmv4yCHyBI8VTfRqUGIQ0uFkneUve67uWYCQr3IeLu8buAsTeVjf4a3YGn8+vmX3n/YzeFXe7W9jms4uTW+caaXG8oms6USDwFw4Vg50U86clDALMPkBZHEsGXWBaL9QOO/TKR8CtpskimDD0j7RA1JwWv1r4QpHNH7YjfWzmrCpuvS30z0PheR54wKqG9gmhNrMmXeMqvCcI1s0y5ALNo0xjRlTh0jQ3CFTRxnVZ4JCaeUNyiwYXE0yEXizTcQuk6RTmbUfW4CdClv2ZrWQGGgUEjcw12/e7ZTffAc93kXsd+1yNhHVlzNEx7fBPZd2YGguUA98o51amDlOzKKN2Vn4lwVsKOu0prOzmaz5eg3jbLR83RSEdBemH7kOkCOhdPbnfsao2OaEBm9Gq2DL86jtEfZCaqhoFkC0B76/XOvDZgfbXn06H2z9n31czHO1ivP1wx63ZyUg9oiewiZ8kq1m1T5Hl/pWpPn1xoXwTF1xkJanQI3G8TzxQXYXYG+e0EkxDHKy5CjRy5RMdEPigWNqpSjStSCzZxO7PD+FgaMW34j00YyTOM4PfWXIzwXMh7oAlYoUH0Xz5ljsrVhtihleEB/JAW8sBPCXMfqw0DF/U9CZMAp5yX/akcb9ps1aiEwoq6VSwKrNAAjl89cY/5eWNg6l1XhcD9Y2D+NMA4NsKpC/yaQLYyAhj/E8jfL8Ld+OVKCo5X8JCbfgcBOVxgIJKeeN+td5tcKjfugBxlfC4SzIYGATOviVDxAUITc7Cufkb4Hs83yvrCtoVo6pyRfZavVBV4G7QWwlYB2Gx7ERri0XWQJ5zryO3s7PjK/1QgFfsRC36RQCA+jJPif2TsWN+a5+wXNhRVbguTjA8tye+Zzf0NifWFyzSTG6abuVUtECL7o9obcXpQI4+Moiho9iNDGXd7rFhjsIEpJkVaqWZNxeWi3RU184eZnUUh2XLWdI28FSUEOCyuiULTw4whU22aHq4MyJx4WY4rnKUIXTfyC2gq724Swq19VLlqj0KurX4VMJdI7rKBlT62wXo0JKAMDGlZGu6KNoF/9//8W9K+q01Z7r6aCPlzaMw/9ZTaFhX4ZPGe56AA2vEmKlY0Pi9a/U1OI35SQZBAQo1xgtXJE86kzpCjsgJTY4FjzLyPtJH43RwI1vfO7aawYe6mt1dFgAFobZE5ndBnhKfWaM022GbCiwQqCgh3cxGfXkVOm9nXz8m0zK43+Ai8JqmsDq3tHPBKPI7jm0QpdqUFV9KLYdNespvqSAnZuSYUYSoRrhtcKvYl1Gb9Eqz0UoHAGkzMyhkRT7dWX+UtCujlXsB5inGvLhwiUNweIJdrCZpkOPY8tj1deVnX7FXjj0xKJXHSAVWMNTv7bc5WIud7pNkkrOgCJwZNq9253wTYWsDVLrh1dXZ+CJQqAw29nulxmE8qMBuBi8S/OAywYoQOc2A61ynJWpbvVj3YGRpNmaQuqEROECjkr4b1w+MPaVpo2+3o4UQoM2N0pZKO/V5f0GLqYFb42NjawuUel8JI+zn1xD94gvfnVhMfq7GhB0jhYzkijWOD7++JxG9I+AFa8+74yv0fCwbp/Auqw81E5tQvAsufFnH12ytsQNCYzhHEKuBl6itfgz8V7HbJX2RKqi7WHzK82zZXdDL+qMOapGm8EB68ZZ6wmcH4LHgj9lXKResSNi6Ch6ZquOD1ZsjN6HvEOLFiSxSPvqAQB6JXfcGIPwrHKEHueFgRlG4V/cZktoOVbP75BPL/oXFsizFSe6t4H0RlNZfI/BAGmBfp3y9rlzILvAdmy0I76FxvjFYxZEa0GpyvnkWA1jgkK3rxv2NaVMy4clWL1g1kEc7aq3Xk/uORd3PIw36eFs53wkpKskdwViwOy2bhyH115XGO561wvsOpZlafT6D97Ofj955d3dYminu4Dl4G8KNuqCQnj79QBerEz7epTvfs/J3bYQrjrbVlQjky7GxP6/JRcftPLLxBHeFJqzXCL9H3VueZnUEKtMwKsh3Lpqlatit6naL26UGPp4pIEl897OrGUMrUS3dd1A7GN0OB5UM0uQLgHLyeI5Jl+DuFUhPdgkeb+7i1Oib8BPgEEJWdJy5cS1eY9tJwV281loY9+eF+uI+TFQG+r13qdgDjf5mNGbOIsvlfSVbRxGkzGE6WTEUTABhFiBn3gLIOKfghtC1q6HdUEd0hbURxMXWTBehUjUbVe0jZdspSNXABE2LXhFpaXf3cgy1+97SMlmSO3E8ew5cvDl+aB+rQ0Pfq8bbnxLZKAaVxXKm1nqKSyzc3oA1SuR2+CCm5zs0LDTAndCMHPA0KJrs0lOK3zIpYF2z793aVhH6G5+7MGD7navRC8M+1KsJNwaEyNz9+uabxeYt4dUaqDuSSEmaAYnPZlILj/XUCdEM/KTAXm2WL933S3zK8zrbuRrVtY4HIDBgF1b9A/lgCJNhaXOJs4q9gKXZr6/X68GNEhP1ZeUoTefJ4Yt3WiuIp+sXKzeknPwuEtZand+mWjfJQgx5WPE///6/eeUfNOo7ber2vdZy+3H6VFFyUQBOCkKjourU0j5Gl6y1F7wcNcA1SQkqEkyms8Gcp85lccnXbJO+tVKhV32XO7JvPfA4PaPf0B5FwO5aslibpObgyPijeiDYBGd7e6LnishAMViife7MFifco2V0qcbJ5PFbTlKlv8Rb6LpZpUSu9vuO5zpT1osnETaS8O0qvoxaHwu1nAB91zwq+W8b9pQxaigtyUIoy+DI4NyEBZr43pXrhWdlkN9FqbbP0uw4BdkYVbclBBeF/I5POKIz7nRjY8x97Mg1y+wIOcY8osSWxtpAGbI3iWfZeFVhZz0Q3q/bYJUTCUhDYnnGG/bLbmISmsTj+G+ZovC+3jPIeLfWVzQUrVpABoC8nOyIquHiAArgHU2XZo3oGfeMKx+ybqK2UH1XG76QeYp+BKAq0V2ngTVFF1k57iyrYH2vt9nR6h+zel9/NGEtgPMesXjdkYDjMWC7+7BmoVd4ptR5p75HbO8xG7rVLXnOla95Nzguk72XfeK4F+wAYn5J33s+NcBXUUqmnWEqEdqNlXLV7AqWQwLzVBv5+ekftscCqJ/qn37Afra6fqrrsZAOUBU4vgXvi7kEMdMoQYLDHxkWogRxVRWxqRF+R0SkSxQG8KYPBg18bczXo3N3URWF0F++4bcH5yErSOC88/7FE9FkDBEmbYDA5lGwYb9SW5k0S4m0Ih2mP1CjqnZ91asIhPs1PDJwf0XWZcDkE+86LqIib3cc7lFl7p5FslVu0gRr/P2gBM8baEXsFIeQz/PXCCdB0ZoLraQql0+tuoanIs+BHrPxkCxUpfGMxUuUj49tUX/xlIJrkQAXSbjSYPblrH79+fklzGhndzFfpwGxu9drpDygBCzqocSn/ohdW2XOn27Um8LUFmDbeUBOMzT0g82zvsqlExvJNqZSIjDta6KQtrAaEVS3SuUSDu6O4Pr4M59WofG3LlR1dTOeSsuoZvHu/Hp3B593d/XuCOQIzw/xtl2rP11mEbgehQ0JC7q0dELxePPe7NaYe2lthJUqOiMHkdDGZB5bre2O11LCpH75YOZKrxHLIH5po5NM+BeQhMC1s3fCgp9629oMi+dWWmmpBxpjDwnoyMF978WzadzBDDJAwUCwuWn62qTbjbrSRLCMpR5qxK4agQ8P1hDYrQxI3A4B55HMqmrMCMZZXLWHoFkTAi7dkyxtk126m1FppKvBfA77YsYgVZGgfOaU8F9s3a3Ql2T2U4h6K7W+WZYIkwuJ+E7H87tmoL5KVv/jLE2XpYlximIokpFYZXHV65HJThgLtzgFviFJJUtDOQAvp2YN8+cwi8ABoKw9B7D9amF+dmYAj8cdDyFaK/WYMG/kKL16+cLaeDFYmSujIuuHJVX37Fb3k3QG0fpGTPXj/sR2ddIIWw1ewvAGHYfqGOVkq1HpvtHYm1q335o+ibzA6W+U+2DXJ8hXxImv2A1fow5LAd3dji1U/M//+B9IAxEvyBoTpDehzav8eqPsbLUVeQN1W/9ia4dLMHx9OukDbzifwZ6GXskT2EjOTD7UbGiFeD2slHAQ9QkFgFuepKV1vLyLJNMZtkulW2aXHb22UI0JhYrPqx9ysY+/ps0jRcEGO6s0c0hQ+EptdJB3RCfp1F3qLC7Rw6MsTcSHZbolHqTkgN7rZJm54CmSg9G4TYdcflgni6C8rBLeXDebM8knYn6otTo6EDwjoztFS4iMEBQpVjhzpKV1qlavn8XXR4kDsfpugoQ/38dNkS2hQRLjUGSY+Tfii6wUnjLeSqyNxnlViW82FR28S+cgIHl3BOqwfBFpDNzUwgS9JdPkDLs3E+a1VZg9sizl9VdTFJBKToMhTv94RyCJqSLU7o+9/cKUO7uCQX6VrKjK67bYgg9kOX9ew7dSDA93K+wLlhlA6caOEcSZzwic1TsvB+uiacHejLQpZ1gbDskdwOOSrfPw7rdgrZo2Juiq+SIEN34uFZFJYCYZfnvKoVBGh9EdmwqTKXwKGhslqRa3DX+jtJFDoBqOhQdcN2hV1f3ULB6Q1YXnp56qJruqf1isepztuUsDWSjxQ3DC6ywYpF4ayCme2l2gXOiI9QBOeTCzbOtFwyf1NYEm1Q7zzF6YqkeGtNdVvR0wvkTNitTyIrONXwbQuP+Ve9DaX39eVOS6RoNqkuLnhqMrEV6hg42ErlxDv6WG7b9wyEwuDdHmDaLeaxxcltSXbJecLYKT6RNfwYIIn6bXrPB7Alpx4S4v0lNQbXqfbijqgtNk3ReYwmFmLzOXrGiLRSbtb2mRhNyjBveDfYBDehDvNTJK6d7QRtySq+wdvS8+et+PPu8C+Lzz612P+ZwoCLJ6YW2E9UUQwOcpYbvBqk4ocU6gdSSdD69HpUsFhm34QVoNtz/Fd/GYBJbl5FmCvun0kJvtFINsbSV3vtbJU4BWH592pUck9PzxqPCj+jhDe7i7n8Hnndn99b6fVwlpNGgIFKu6n5/qrm4z6HrwHNMTzVyDc8kYugzCLx4lroBv8VnZ+n4l3SXYU+AMt1yKU8eWr87MAvuVjfSAMeck0zoI7+a+9N9PVntvUhlWswYpak9SSHCjWVBGTZ4c1mfc6aURmJFHfvm2hnYHVcU21ly3KCKNlFhseioRBLUEurdaOJghk0QPMrP4ld8KZtz8jMgdkLvOwuUK8UJQcK10J2bSjXRBzUg5jcuwXj/U3I4pWZySeLPi/IB8ol/UhsmeONf1TWnGNV3+Pa6RJ1LEVDP2qPgjFqW7wO1Yyz88tiYoF6AUrlrmjAjWm1+K7x3tz5wWJN7GgzDAV2knPgu8Y2THwfTls3xH5jL8AtI5tcclMR2sn1KuMMsC27lfHal5DNv3BHNILDsBFnJkw5zF1XW89mpHWWYSXacNxhtjq2HchVknAbUWYyBgPt0dQemIrdM2937fKiPxMjA851k4GED8P/7j3z2WMzElBvlBaDOo03+7PftHnt2rIyluURGzqK8TyM1iaJSY+xYyCSr/h2tS0QyIl6nymyMS+tISq6qCVAmrXgch+K+783I7SSJMZU5u8kycpQKpzsNwjdddbn/aTT3VdtQVi02ZKMr2156/VQ7PIMnrGb8whu/Si+DTIWNyl72eRJS86YDhsX1+BS8LRGR+pAzc/lokheDm2bURlcC/LsAhz2kabITwSqPP0JQUDJpw8+EWfBhqz1fmyf5ydsaqmNomWPCpJcTNPA9DuzlhUgBDgKmhhJhGGOiQl6d8hB2cfk8mNj1XZ1FYIjR0HBQJJvhSQ9dn3XFgTqQhT3mPMVnMmElbCts89t6xFyxh0U7k8TlUB5ewk/yAzmO26ZmBPRAEwS2qW+s68uKLLl9FofDtu2B7AzmD5su6RhD51W2JO46pmB0rV91xjyZ5Q5Ac7YbD4nylei2uXA/uyj2kczGKxrdAumcvfv1DfrwguCvL5AuthMD7fCnV2Lx7F6hjjb6CPjxdWOER9JhdMuDDHJc+QlRP02YeoDLRmFUnJWY9Yv88av1hFoZbVZaPLWYhrNMwjRebdYlwHBGp6Vor81L1OyAF+d+rqidZZV4FcJiiGxuVajssZAEuDkihOBuNKFJgpOAPlTm3Rry03coLjKyY4T9uCu+dD1W85L3cBAWsOmoQTwEQXqGsF4NxFZrRy8CtOKhPWsoAhewYG+hCpPMkwqp77DRKjyV7AXLXI76MKX7lb3/tpJOAs1oRtRz3JUD5hVzJBlVG3uULuwYf2BqdWseXvwWjNVriwICkU8qOjxVu0jFgb6uCTI+nB2g/o8+LGb3zmdl5NTD2Cppma2GoRxzRvUkTg26DvhvTiVQc8UeYogVdUS1JuENC+RPHRS1Q/Q0Vz3lVewp5f/AACN2p3NpOZ8EQSYMTcQ5mPYADWkfBFxf7SK/eXYjvO1rO6vN5l3xnNeFpdxdkNX+6n+fpp39K/fApegYvtdN45LfDTBnbaq6QQx6pESFqF93AOiZKHjBXqQLCafpMciSF7A1M/qQsG4aa/ULuNmAg2ZNSgJvgA1kBB2gOdTSIeD5T149Y5DiEjSwClvX097B2/WCQBAGZeJ4Id6DWAGdfEABv9lOBQhPdYddIkY/wefAE9maB46Y6YJdOS5Bf80WCAQ+m9Vm9tXLcvy9WixPwWpZvHalVPchxYsB2XKIsXHVzqStsBUKvG0gzUHL81jkeg0AxxZSzTXxHewAUxWTmhD9I/2aETxuGL+8VF4w/xgqttfE1lyMozcRmNvhhgitkapWLnByXOSJA2it79AJpwmuhkekk66NS8vo75Oj3o1dFJuyiCAmgdpKergsgi2S3KinUPmkCDTikiCX4KhZR8eYh/NVy7X6OAdAPE94MwVoj/kq+jE9v144BwVGiwl0g1Ai0luXK4Up1+Se49ZI2/XaHzGVhwb///X9Qbtl8pfBKfodTBx0OvA1YFPDdxm7mWncCG7P+TReU6lJTrMhaWph1aVbEamZdp2gdBcjrBvN2DYDc67FaOo8DwWaUbjGgAve0oZBKCU3wXNBydIYlCPcTv9rYKs9uYNV5co2y5KkEfDbflUbZTaU1TPjCRkHeJQ+ET+3lAkLptPJWbtkdjHaVVqauAbaIEzUxY9RdeoqPte5IgSssFjyXYW8lnGd606wgd5nvaB/Ivl2/ahp+i0+foebIlTPBTUXcUU59rIqEV34EqG9jC11OAH6TiA66qiM6cuKkDygAI1WVTSSOVlA+S+GAAZtg+xpIhIBZfZsAwGrjPDr4CEE8PZuWtbiXA+xfZKsEmB7PbUmag6Kzh42sojL4/Tv1xhvEatBN2U3jmsn8NBjmdZK3buajnnC97YKIMfYAy+VA5GvVwjfISI40gKD5rFRbZ8dHJRZPbvMHW9C+EFfTCMRIJKyGadsWarJYhUSle0fh48A8XRmS1gh1mdH2FPnbczOSnW0Fz8MaLp3rU17NKlRBz4+Aqmpfqj9PE3xcjBXb+/MP/MAeqyt6Q5OWQJmHJsZAvXiEsr6lVw5FLksYR7WUIYmi1+9JgCi7T0GXsl+562+mNZo3Q/Cr7W1VEtJ+M+awCgTR3nhHRx8VUsZ/uI5G+EsPwuuJcvDCwsJQwlyxE1BHcErP5H1fEp7GrYSC8+R68iAYqIG5RR4n0R3Y1lcaf8g9YiDaearN2r3NGI2P27k9ca4s4cdkNxymJBRVvIy1pE2lq+KNFiI0SHRXzMh6TUUI3MxLsb7Ux/BlUSunE0lo/Az3LmStCprBLj+zn8+8gGbfmc8Hr9YeVIqas65JHS4EIBxFG4dk5+23h1/0TQXISGAP39OZs1wdJarNhzQvBsYL6nkizzR67cvWg5qCCpJnOclLEbj6+HpM0M1Cg4J+uTwdLOZ9d1b7vgDFGskiIBvzmnQh1Hzqwc9TP81+uvrpK94AE74reCanyO2QgjRk/fhcYxlbY8y46atXdr5SBkocsuqaPuc1AhCSkUcCX7LYAfdfY5SiVgqv6VJn75q5aIlwWcCu7X/6Aseq2JSPUcq55m6fm2LzLnU6siKn+/mc3eZPkz9V3Z1leKh1wzn9MLBkCsAJL3c5UZBe7wwVW7sesbwjAc6rGr9p354GwJJK4RBywbESebaUhpefCx/7SRVLjfcdO4HbixS3AjBwjbW8pau9wqF8R5nrSFDjntLRIEjJlD+4iz0vd8NCmjh2I8erPu5ar7xv5kCCqSqQ/M5oRooMSK5fSxi9qxZerGa1OS9dx0nXxVgd7LZbSkUwnjBjMAypkkmR6GbRA2mQVw40atrWqM0VfvSuAyRe4beMnKhrZuN2dvTncrGeNGLheqI8wLxKeXJNxJiwTDT9zlEXqQIeCyTdn9hQ7mCfq2FSZRm6xfKJ5dCAveuyhHjfpjuM1glF9PgV36y5Fl0b+rZRfQUMJrMhbNdi3ZbUcQjG5dpmh6J2MuzDWwvvgF1rYxAWs+ZGkS1Pue7zIKNzA10vinM1QlCGcyb3Jrt/VTXLH54FIsSBxNd/tFzE2Yxwss495V7KpwdwZGJn3HDyGy4WdqpcUd7L8/pwePcCtM/NOyntoOsLDxtbHxfyyQkjNgI9qeWEZX6jYd/KKpCCi+Z1y+Kh77lmojFZaMAjaZM/xIRpjH3bVQAjenbHlU49DUsYWuQP65q2vzBeoKhzWhFn/HTRmL4tcv7ve6X6S4pamalkawWhJL52XwDsCDjI30e/N2SIfFYlIteQ2tF6gkzHgLtTp+zBRm1TDcnIUkUfLlgos6EIFcLwvL+QHaPZPVYsJ8PFj9qUW+J8bKLAiFUi+UhjL+D3/GRY73exeIGRgUp3VI75lVYriTUAMZqkm7tV7D1Is6iaef2GqrR5hL/Vj16LVkFweya53JIUunh27zDVKRJ894ocH1sBZ3qBrqqWSeSrzojHWed42CX1H6yupwpb1aZbE9zU9eCWkwM52gN80DuvUCi+q30n0J2Lt0TDeXWXdlDqKfAjPgdQl2+EgnOAMwLMgjrxIBl86cjr7XHkUnZPaPmaUqM4q8E8FmcaWmhrCxMT0PQavbJ3x1NdEUAtoPsaOmu0MznDk6Bkza2njwFlWWAB6py/7oaQuHEElTFJiiRi5VzxcoZnfd1L5r4gT2eeZqpPutbL0aLBzH3WXcQ4GEkwk/Vuel1S2La/cOEZCBo5ctdVFw6BzPckXJtWaGMfTuG4ShAGc0r8+ZrkZHs0hFxI2MtadP0psNGmk8leTLHroXPJp5bYQfWApQFKEzkHV7QCVoI7RXJavae19hBEzoiEpttpBb5mKJa91iyCa8U3hTTa/CJNppnHAeiWUhzpLrujRlNkdNob4aw0oqNMKoz4SIvZmd0dwLmRfClLQyKWWgH7voWd92frH6v3qb8N+m8GahHe1cp1XfGhwhJA1SJQRnWHfzKyPC7D7FVzd5f6iwuUG6QQOQZ9iSS4JfjkbuzGRA9nWOUqocVWhpVcR74rohizuoUHN6xdgqtIet5HATtO6zcgKAySNVIiG9gE6MYBxKcssuhgXY/hxLah8PBQUM/sdKhFF0n2ZkbaQCQCxhUI0NgZAMtaK0dWI20dA+vjYTC7faNhY5IoYF9U070Ai2a+VSL4CKvIO3yBJ26QLOkKqKwnWKdl+8MpWeXje6/sRpkAxHH0m19Q36JaikZDFy0g13mDQ1GGaKUOz/I3GPLVNvitMp2ztgNtA9qMHSVnl+YDZyceEAsWMByPX0vjqYiimPM2VWem2wWVYV4hct77YqwzporfHK6MWzUjH6kEuJ+X9Owb1noML7m+iECqQnCY8ov4JtZGfFkSEKUdqrcQgTos9joBKUCUc9GVi9tUp5u2ACFuHk7DgGOZ//73f88kr7OJWOphGoIQbOJiyeu0yMnjsIrWu+YYaZXT+kG/4AQcuoOzpc5V6wYM4+KFVpr1NFjXSI6jkYwO7WrlkaCLQXWaUKs6fIwrql1jFVl70aro96kRhUM6swtJN1t5sUyqKhfDbvwdepW941Fr64dm/QxrzznlPlcRuyimlapUp94DTi3iN8rCR36uWoK7V1f/RkcAoMDJO7cGyujp8Tr6wugCLcaxKDZeDpe3W6xlmDbe8sESnN3KUMlc335uLH6jvCxvxTKkl65GuFjEMxgppkXHNmUrLRqO8Tkkn52qP5VVJbPL7zQCjvsC/rnmuxBE3qXCAUiu/k/AlG6yDhwBSaazvTZiIkjS1Vb+YwXmd7mwcngXD5rNcBd8jdQGdxWMxslYtnrlNvNWPgjFf2qxW8R35EPPxUuO+0bfyqH2877vzmhXgtOwpuTszTS9crfku+JxFUEPHfFiI/DCh2S5JXQ7eDhk7hZmEpw5hykV5enuPpeXNtUtfCzrogKh8CPB8sLakEQ9eND0FR0I3Awb/gC76+fnqR+0Q07AV5PjQbQspqthlmBKTbzHlhppsPPLRAcNOTOYFC1HBPwdTToBzquG4EzTsBcZbPaNPiRSrsMrq3yOhXMzuqPd0CgPS9oToHhN0+aruubbSdc6GYH7igNVqrAzBowQYyrFO/rLsF3BLjc/TFfzX4zZjUDAS4Y0uE8TrAOAgf6FLvNUUBin3fU31CopQ9A4TaqHsKbLtx2q2q/BZYbEIP7ubyONo2F1gI7ETwqQD65cPAloC+LujiXb0vCSF9fedSLE5J1C1Iiim9faqPNc7Z3X/gsq4opeusCad0fY1e5+XtvzsJqZSnAdmChrL15HAV1EBMHu5CDZZqcAtZ2NFnzDgr5JJ2zkg7ESoM2f2WO3ENq8U1VcpEKMyrSJgOkTr7IKTp6H0xAGn325mnk58s21EBxby8WuVpr2COkmX6GAegA++OPhz/P000+Jjw/brh6wLTlA7UNq1eytIUtkeb4i5FVPQZgla+t14IdnpVuO65M4i8Nge67yaBGiFjKY5TdxqJU3gTylOJyINsd+qGSdOo2SrUGZi+tb2curreKSnHG3CPkSf65Athwv4Sulz2dZIMlqK7rKAWW4kQRSpnor7Ttd2vz4h5usIbUa8/YUWTMa3/QxanBMGQDYmcPVWBgP/Xa8JzALm8yj25XIJ9CWs1lcYAq8XEF4GiX3wJ/z75bnDm0Y8fQNdaf7JvrnixQLg1Q+gBOHriQZoDyvN3OyjTI87D0ZYhA5RA2WwEUET1OALFekEMvmbv3GeSmOxh6jNc2zLODltouZCwfBGh2xreaSMoucjKzL/OCF+mn/lJ+fAra7H1IORgYZgVvqJVKZ97DYxFUSISdCNAyQifI31r6SIh/5VulWb7BUV2nL5AoCiVRUzlhhsVcHBvKtcoFKT0c9miDMTPAISSj+/T/+/cDkYNBWr6dFz7/GNWcOvR5mZKLg5iSYdmSlW6kqZ7Pn2kRSHTzM9y637FYDtAJ2NPPB9rc+XItPf59aVpzls+bO4LG+X+tmHhesGisP3VnhseVz4c+EfDD2t2TxDWu6+KGm4bypZudsajbCgIbbor6KfoROPHQxSHhtOVKlvmeTn0xtavWcUHmYlYKU30l0XemzzbC5NrM3AVlD+OLFckgCOy8uyRt+kxdP40J3vxWOvqQdt9jRT9CFO7mz/ItGkzmZqrxID4m3rzwj+lzmhNM5XIYbBQx5VCJPIgOxnfKt7/TJQtmSh5NKRDTsCTw85KDumesIzFyLoJ3tSo3u0y21FFSvKTOL7tcJEcS3EKFwRdTZvJA2KHsQ6S3hMYy68j01d6iaJXuBrKfQ2kXOrLCnqeuFM2vExVDSO9qZ0f56d6Wy8Adl3exDbJ2Q0Reet5NfCVw7UNyF8xglE8NGPsG7an3+0q7NVBXWBsvFmG9iBPwRf1u54n5wgKXdu4siLzv1p6qq7LGJpMghZI0asPT88Tysnx/3vqxaot+bVINkxJm17B/upGTGeCFIxf7MsIvJ/AAgfumtSiHB8JXcctops7CcfQHQU3jZm8k4fqhG63PwWJJkWstPLZl4RZhZsIAlaJ31VO44tnwJU8ojL5c3q2X+YT6p2xr43Ryyga4rGtHw1wfQv2OE+G46qyzzcP1290caQjgN6PekAlB2TWfL3DUYgmdzVoOiajsZTUuWrUZkwbown6zqVP0+YhDeDoxFwI244u4ngcHSwrXOjNTFVjQ9dUgEzwCNE4ncuDknVtFWN/MhL8tGHReUBi65fAutURXe/Agnj2GwGLgfSNvwzgvtq8+rmZndYs/uNXcmydQwRoKmJkW8CrW1dPteOWV54RDE+twaLsDHtRAg6mELtnNG2h7ydFPomzr1IadUco5fnEz2jRDDkw4WktnCTGUWBO0u2Zc52ZlulwJ7yMcv7Y+u56d+fp6fUv1RRD1IIiqsyyvXQcSXJtAjCe00JHoEgkXPK75pj7NNgthTitM0RYg7HLZbbkBMtudDa6J5VRF8m57L9ZArhqx1hb8WdVHGck6U5GfpOa5w4EAaqpjfrOaw/ts/a20P9GcTRf2wQF8nW81SNcDz8MWsYvspaXXc8R+CEk4/Zz21Ll6T4Ukza4Dt9Qm/cBifT7EgGj6WAZfE/Cn/0Ms0UpC1Iui8XUPyum2YyoPmSzDOAa/j/bzOXFc4tRb0fNFNteO8AqnYyfh15erog3w7R3tEFoYk7rp3Dixy5WbgMMR7CJgjXVcNM4k+0Yh6d+llNovq2aFosmMMhqyzttxFn+kgEDpi7AuiABBRbFzN1CXtQ1bVzxMLd3LS9a06LS/xIZyG7cWhq4H7wlxMvq11z9CxDQHc1nerzLZfNqXyFREgWGe2IXjpvKmDwHwyGLn0sR8qG0Bx5dC10HV//49/gyyuPhSKslTO+OzqVbDj+4FuPVx8AtgtPhvIKnX/PUWpWeZiIEDNtmPR2j+XUuMGaQDNcNeVlFbiu4vlK1LzlOukurqAkXG4IYgb2riRq+2JnManAlUJoYDsI8BB/d6LUNkGGY0hPJMowc1tv08ZQ9dZ7HR2lXCpLjmqffn6ezPaWB2SZKLhCHldAE7B+VV2yOHECd6gkRyEcGPO1dQeDAm3IaY8tMfiRZAOCXqKe9u+44q0bgeIby/uCN3lz4PilU8ll9vmECkMC++wyOYs0ss4SAkhgGyarLCNvArd/Y6RY8ke9wZ0N5xLb+dCGS5jfuqVYHlN11Mh+nv7/KA+/U9Ir3Mw59FmfLtjJb57y+op+ZKqEDo6tC+WqeM2U8ZDBOZkPtqinDJUXda8muxhTi4bGCRpOcK8I+cArBCETCPs+y74zu5gOYWa9YRWA7/sm43SqJvtDS7UJkS2trIxQW/+F2OLe5aYsbVCEtUKHcoGsnNVsgB7PB9FZs8d+C6pxVAoBIr6x+pHJac41D7sqvr5ow28tQD+VA/AhwR//vYM+EdxkRFJvY609dm4FswCGKiAdoy8+w9JS/UQPbNO9LgSVH7cPtn9AFyjlNdw5Rgj8U2u9yU5YlFFDEE0xgMhYVlmJRtO7idoWcpRd55fF1GYSMySadAjCYjLxI0Jvk3KjsKnM9djMYGKdTpa3dfhKTJzbrgtsIgO8nCmbDisFl3lw6cun3wWSsqI8pNluuqo3PuUOrwAGUPpNhcEboF4nqJIsiK9kGQL7V6i3ATjk7CObct28vvoG+4DMqSD6YVkRpcdFQIy62MhPMQbZRPdvlcdPKTl49PAlaP7YXNqwEtL7Hym7Ya25Vc77Pez46c/LqBfW4dHwkQ3f0e1f+8CPwLr2Z4jyHSX6aYAoR2NriU96LAKIRgr8R9Knxhs1JdUORDSJ8Aat3mgnRROVulCuyPMYi/IiBl+hPX9HbTGeIBxIgNnHnEtge78rMPrqn/+G/7oP+qJCORBs0X2cn7U9fA5scEDxm6vNV63jhs7Xtj2GhKAxkkaquQWEOWQeWuNvBv94uLKYaAqSOvBPq7msoedH7MGW6RR9GdmBROjoW96kTEhpEGW65otn8IW/6LB7WJuQGmxbTogRkc+xBRq93meUwF45J0FCkjgmIJzufjWVQuHcMLVMLTv7u7uYEgA6wA97zcAueYBWUhCCoqjQjs+mnNOiubPv/DvBkPEAJ27Nmu30tkhhO5LPBY8B4oOQOWW3SOCY/n3XSCnWm7EKHu0g9KvwuVsKPgILlP/NGWuhslQMXNHOD+SgYI4FN9X8At9fQ87OCZDzjYZlrqnS18jgkbbAtiWPxd7MEZE6PZCvu6NFcExLPXUTzU6hDG+NZCjvVWQhEUTM0AbwAtKLYh48uI5DH2zQrMstyTpKZrO/JIdN6YjirTKKRTJYYq+nnGZ1N9yJT2Pf41ZOpk3dpVc5OJ0JGkAllXk7lsGpX3J9GLKqVr33owPeByCO5Wrr3ktrfGN63pgqUvkmO5SXP+kEBZjwtzEuUVgYkUQTISt/uL6iI1o5KNyMcU0ZenhfLwWcIonox4+OWzuKruzCONbAe6XqPLdUwbtPfMOhbJbVV3FjIKPVtGP8aZd7/jM5HEUYnfuWBfAHe+puPUChSV7cg3G7Ja76DANNnNuGspSyldRFu8ZDU2jb/Yf67rTnXtGFz15eo6Z5y7rkStF0NK0jdgaJUxV2x0eT56D0zzBZiXHPOyX/XIP44M6hfJfZjR4zVYDx3D5QjMc6RdomgNEB1F0x+fQLmY/XTqpgwasK78VWrnQwG9/fWiE7Gz1kXikg8V7VndRCF6DlDgq9onpTDLQA6izot16a32D88gYeIxZuRlmwTJshsr1+i7t6n2xOyNoVqMBwNltzIyR3tn3e2/QtApQHmLuA2kYJ5sLz6z4vQ1H3IBwUSO1dUgWDuMonhambYAFGN+mxQrIcSHZoLrxTxDaqhrPKMiz5wZa5k/3U+ji89M/3ZISm+isIXr63PO0iCk8w0+xWR6kcCSnUjNXBAugpZGJDvFupzEYp+fCqLVMp7tsxwn6jVv3oh4EhJTwxKlOuGMnQw33XYfKyUKdGX89yLGgKWYCkEVNMDoK5PfKbKhKDa698ox2XOmDBVSiN/VtcUOvb9JXpVd6Cuv0y8SWMxogpS4HhakuLG4HBFySF8OMxTTrjTMXM2DohMTLreXu5fTqwECglpOQU69s4XW5E2q/voVO2uiQ2mF7Xescgwlvm4Ujht20qVN2WaKQQ8FBgvK/5b5fp1RcqtAi2VRlpiFiEQY00JPw3BKDgjP5VwW6oV2oo6WreSV7phZT8JUkJBpX0ix+zVvgznd6wHSx1EE2GU+JPHHYguP/peLLjezTpboIJ4r011EjTeXJnvPcKp/gIIJow3Jw2PHq5wunoEDvlyoyoij4Z0FuoWQg7cRZsIQpNRu3ptRV9RDPD5+nf7rRrALFKjWe6g/5/Fi5UjB0DmFbtbERvZtQE+3K7OlaVMljOPLlSABfFbros8dzDUHVlAU1pg7cRnBPNd2yZ0a5q7QOgQFwiI5pTem3dqqWnl9dVm3SpgUGREUVb4ahnwpLrEdZo0BriV5uB926uYmQjetc08KzrFp7vfTekFRZ/KSrsIiZLenXYLEY79C04y5VPAsomcRNjCFIA3K5IMeEC5NwcdhQjspUbRM/MqF+Cq7Ykp50VLZv8vyvrcvlSw0CODrDLQmCI+3vLWr2J9OiqdU3st0CxA2D6hYmhz4iE8qfWUfoGtuUwcpIOzWpPUeZAxfdDKORSAHuCDSQ4s6wDHA4w8UJb+POc5RR9CBYbLKLndyfKM6CgcfXsYsm1NJbKGmWtdj2VeHookqygw5Ax8Jxw/lxIYVtoJCiodBN13KakDK+gggelnPUD8/W30BPRc6qfivgJfvhaDG/vz0F/sd//DshZhRLdlXOvPSZSnbqt2X9qr9DbH7P6S2V8968pwGneLg8TNSXQXSd3KIcp4l6caQmrOidSzrxisMIXIeKbFSujhgz8m6SDt/nTD9sfTFmQ0FpSRSTjD0BLMCwpXEBm28pcDildr1TBRS6fyojBMoxbersMY5+NX6I5ByXGZ02OjWhWZGcHBEJcTPuRe4u0cUZ6fs3XCsnMaBu4K1w2u9MuIKsnyfsnZnwBA6/YVnb/SXUFB0I/hIMFORugxSGnY0FQscnQcMMnfd5qhT7RN06M5tUxu3CerjT/naeseid0dNctjlQgKSmLkv1iKe6uyEgRNTauj9Ee3BU9O8wSeIa40SMoIRnd9BWOtUXFmNEm163hYiKjclkPa+SAI3uuLgLJFi/pfYuH0k/qZ/l1sAKY1PRco/+0eLF5/1AHO8Pn48rLUaYXSe6THmswvZmBuViis+t2E0EVFXo2KwdYxVwHra+RzgIoLb4IyweY8J+1yQOlLNsYkaR7W0M6HQP7wjEPCJF86t9XdY+9dP843l+uutRA6juspGbVc1wiChuLg6CKjXwWtdD4S2Vot7oiGUM4TtZcSMpGTrs/cqgn9KMuTDVNIwULFT1SHNx98ygzAJ0kOMTGNDHfQpESKerIWwtuwOdEBlRjG3UjVzNN3KTaGrH2410GfI4A+N3g2PXwRu9DqiM8e2l49TMjDucyrSYEuUWzsuXU1gqK0JBZHIhvjYZnxUuBaMDKM3G+WHvACS0+b8SkmUlRyJtbkDdYExDKrnSv4qBUEi5Z5RBYjsLdBoOGAsIsIPbq6mRO7loRspNdnyxHNxZpNKlcwrCDwvVIznR0093SWGb0GaY418aXFYUwrUZkLk4hXEN346Oxd+8RVVP/CbAJ4OJkOwnevK4vRWvfTNWfYwWsQvI/3wXxclIdRbFIhuPmaIcr2b3KaPZQagtBmCygXTJLlb/v3i1bte1BF7BXFIGLAOMtRwHRXsNCQ2MoyIVx1UVxKroW+qPfrq2+qeNxmCfB6z6qf5pzs7zdNmYHSOg5f4aI5/uCVcsqyGgqcpY+hw4SAnvF4T4Fm7U8LWiPqOPipIdHggtsiAwCe9YP0O55YsiKPsW4wAI1EUNFyOSTS1U7h06ZZWAPpTHmBP24RHtDohRxC35aOGX75udazYdgtzgzcrz8LJgdkuaGQl4V4AmwWq5ZQT1QowUtRYqB/HlNk1ChVUzwau/hIfrOB0sJ4JPJBF3WAQLCzXsbtYggX9wpn5dLLfSsyaHNkUnAFpeZsQ4zIrBTVVhhuWwCmrH0woFn53kYNcCQC3WvZydm1DJ4+g20oBdkyU05KCXsnlegRJM0w7RcL6dQLT7GYNgtPbD+4qmQLu3n+pu6V2h8OCm+AFOIhsqGaLi0Or/TDphNFuOws4VFRWUtJYjWVHvxnDNl1Wk+wFLcsaDOrZakl3fRt4slcodL6cjJGX3AvldBUXLsEcok/z7//4/QsiANt2W6oo9I0xX+4nBleNlt1fDP8tCLCM//K06ECRVO9yZUNJMoSLGGdcIOatTp0iCu5fZd4XdzAcLFaFyCp1A5yCHlVHI9DwHHgUlhkT8CmgqyLK/Y0ys+Xj1tam48boAqRSFLBbqqWZtV5Vjv927qRqy8dEDj9x+esCAC+5iwtf35KNy/sBtPB+7+uILEsBMBNAZ7nOu+NyrvdJOKQBcym/RPb34u4/zAwpber04U+rUHVkWiNmh6RCK3zf1X67kXPUrl/4bxY5fb4nq5eurIz1782EIruv2ScopnlZnudA/ecBye60cuaPUpUWag/zHLzdv8QUeTxKENqMjdNC5zRa0n97q4TnJBqq28LP5/vpeMUjmU8ffj4K2LcJrFlgtgs7ByDmH2t2VWSxp9/NuWlZ5e8+v/x9Vf7esSbbbCIIA6ZHqqylpzKalo573f8KxamVsJzEXAD2yVVbSOZkRe3+f+1r8AUBwAI3Ea2p2QOyP+OjdjzYzhLWV74g77uX9ByjbHxrONFk+eXruKm4DVN6etwYG/iK2qxQXvCXKz8whP5Mp8h3aXbCFEZreI080d2YpqosagOju51c9heevp596jFk2aHgR5zJL/RK3Tb2m80tv6iFnefSRt1/i7rYrWD+N4lE09V0Ad6iexpQRHvpleDKJGlXJegei7M9cbDvVMHMtltgyvzb3abVsyx8pAA9DcFXdnRRFrw4LnulKHoLwQG+RjP1LsRZTGyEuooIwlw8BeD54PLjGmvNerl6wb3wvJGjc3L6OWqyJrb0LwAKWjejfq1fvQekGACzmMqgQBC13GRFHeDbe9x3eTDqFX9oxXg1hLxBZ6l5QpthY9pi7WgjGMQ4VtC8VYn6v2oeCF/xaaHDrDkrXZsRIhdWoqq4S+vfP7znXAtcTCXzSrQS8i+TE7akR70u0fJC646JVEPRTVVWIT/ZT4XOrvV2l7UBLlPQu9K4wNdp39DM/q45TCQpELX9r6T0tdPyx9S/r3Caxm9UTW4rYWG4ZEqAZj859BZZrf9dMscNfX/3QB9dY5FqnEL1EYnPA4vE0JglBRFcLFH/99QvYp6pYVe+v5/mLpUI/gOUxN/yf+WmHZkjba3QezkreXdB/6pVMxBpNLK5e741xuVKWUGlBNezxZbg4ukiULDVKhbNwELD82ocStJLNeegxv5QqglVGXEVvbdFWNbR8YLZ/gdqkTIowLIh6ClcVpmaFdw6RLLSCRLvCc/dqDwhrH7NVdXbWI6qYGZ/GwUK1mJuRwH01ZT0STnJxhdSJK1JBhNcNHC/mFqYJ+sBcbTSEdzFlOz5opXb88ovx95GP32JNBdrWCllgjrpd2iaXvMcAJFm72629cV+VoXddn4JDfh0YDELlSxc0W2XQO180UYRnD+C6KUaQ18e5qqp45wTgKs8UZnm9m70Do+jKsQqljllfAh420LERVH/Hcys/kxu/K+0KW9lRKYBs6jQbRewN0gb90Bq+J71KJgH5fpvLHbvHZG3D5Q3mB9FGLOP36K6yeFPtKq3QKFAL/n//+z/McJLXPiFN8kmKBEbBTPEGrZjyzXONkmIVTFca//gjwJXmME9oIsh2AXrpFWRRWBiBtTbRPufQchdLzai0ixaWcVPyKTDi719XiII5gEIR40xoHMr5dcmms06lDCPrwqlOTeGA+yIDWVyKTZJVRjUfNKsdRFBOj6gY/1ibykVXZTOcWwEP6cigtvcqWhfi9EKuQtIUqFmBmf+1gOCT93OJIrUbiRfitNZPhg2bqqo/YxWsB9gKC+HY6tbSbeUpjVxvjkv0717hNhOt9L1lX07fxk3rhPWuH6FMRlQ4Ktdse8VSgtTm4FjdaPSKhoSx5TX0Vm8ZBdlwKG6BzNeXsGHPmZsH0APxR4sA5b1C8FoXu75c4xU0O+9IFMoudiEQKHVxaEMWGdv1v8FTz6wKciwb6efvgfSDwawdmdche7FYS9p3EPmdCng12N7axp4C6lidMXtXIlpceooJtTdPUO256VygzfoEOYh+ugtbPjyexLa4DYej8bvCuvZYOQGDUFBMf2lUvg1NYsEq8Gl65fav4q9/e/oXS12FFodT6MRjblXRKx6IWXQT0Ky5NPMoBjkxB8ndSs4NPJl86wWwTufe9lGaH9VDyISN7Ry+FQgJdUq7fy3xBbz2HEksb9JW4UZhPrCRcPHJPvsjfrOZBUYrd3RbbQKn6TQDOv6pOO5WmZe1FQGgTGltF3dsMPDRltidHTR1kor0TnyA1zV7jcslYefDMj0e4P8XcY/rmqFYVcoZyUNBuRz8YMThRo5qWNp1AzK8vp+VC9R8dufF3lJ0HjkVbO18ulyWSBCn1CowXCTGQQBYT+MVCiwDt0ZsrFMNgkV0E69+R1mYEy1JmAePYJHw7eRDqprISh078KUtbQwLkku0hoJqZYRiMWq2CPLW/HmvlAVEXGxh8Wre2d/vzCutZnctVVTZcrrztreqECvZSoRcfG5FQmk8sGDZiJN2BPB+hCYCvFln0kSQ4GBS209u8cA0QFQDJFcTkMBFP4FQz4mLMH9eVdVd+NUNzq9fz19PPeWXQ9pU1xF7djPXhQyCuaAN6maAa4m/yFfAqns9kS6xK1LJw6mxqq6FzuIYe72xHBuounkOVy5GtZxadECnw2kAx5S1KX6qMhUeAqqCOljYhGjHdU6HTix1Ti6Fs8BMNR1XFrob466F8h+Yb0jILxGlxTuz4rzWhCMXZjl6vQRQSFMTA0GT04gM3S8y0AOMVt8Nl9XbXmVm0ZAvsTHQgEZYLrdY2sh64oinoIaZ82mA0Oz5ZYC0sAOQEyvSZEpge09CtFpMeczBtspyWFsYycxZjS73KA38jXkk9gb1xKfi9qhCbSqpeM3QcFPVbKayK6iQsZkPjUKaYLKD0Uc3WrSH+BztVKggeSCYcZJ4t2w7khrwTMG3NzbMA7iRQXjkDC5U2N3YQAQ4Pg6B2Vh6pXxhd9MOuPhB8o3vaOZbKrCVB728P88Y6Vpcyarlf//r3284veABGqUF5FWsAcY8cV4fMWCKoOuWkFqtwZB1oS0cU8vkReV9Fh9o1Lwt9yGqENqAWii0pZPQWMM5kUogkBLSsexFSt/zOmmVfzJodxJzUiY2Uz6aL8enY08X6aODChhUChxlUqZ0xiS/SDSaZHd7VcyHWJipKkFVLBb66ccywsrzWlB6oefulw8Fgi9kypjxk7pHanmktxHqvIBefVJsDy6wad/USesnAM9qbYrpTAEceYpwSKQ5SjfZboLcJrn+dzHWquWipTkrIz9PfRi9T88fZMK7va9TC5Qp3EhX5KvhG46aRvXNlzqe4StestwhoY5fDJcHPeGWJsoqbgJzVUwOXBoYDnC/Eot/ccH4k1O4OUV3KoZafcYL9vpSk/P+trLjtdm0fjyD5WHWzRSWMGPN4+EcK6G78LpygkUH24fZZSGwr1hXn47NeXzC+7rY8L814Oa5CqektIY7UzaFZqZ4zuf3HK4/IDZia3PqRoK0DaKW+KWalrapYWv5qxqq6qrq1sOueuoXnq4MmQXONWTMKsCcjogswyDd73wyK3C+TdiGSyVoDD2lmI0oSz4T35rltUPUkaI8+wMsEKbDv5m0ssvwO5fsokBp1W2OmJGPBYn1Lqq0Rk6fHpyORjB0qEV5gWTAVRbKgVp2af3xHSvPUeYPb+oxZ7aJU7e6kZY7/2DBfd8lrE+MBbUtmFs78GI6CxkgCVWNDfHmhdDGTUSE+yTvytk4o+TlV7MGbiy2Yoe78xidzsfALXNbZ7i6wn75WqAJut78BJjyUfSrKaOMhvWAZGB7innwkHELthBDnq8RwTeMrVAoi8W1godpcaWL8qdv/1bDsHoaAJ+JW8zhNjSRyrG3URKs3BMZqw8EunAfKB9JwxdRTebXSTOLd7GD9913ZjTzgls/rgzcltHqkmnQc30VJ/QejgdffqwLXYsb3KbL+lWb3nnjqlkLLtYmrrYOUFC/BEmrEYOceNlgL35HeRZ8B2eL4aF6P1CyAaBJPqzqX43/469fv4p84ktAZMzCphlmRbASZ7eI8vkxUmPts4wYO1zl6WYO2Bqc4IR+zOVS3GIEmLmKfarDfRtOOsFPGNAM8fucobSmS613ZpIV0tzm9kNR9lgBU7o/sMWnKkP+iLKcdfPOap6NNcyzLOvxu0FcTc1EWHWxJP7+AWZdrcin0kpBD8kHJMvr9wo8awvSoFpFDqxBTTnA6//JmKqr8ubTHq7l/VHVetBPtzlUTvrpBCJSoH+gcbglSoVHeOHOwlk8YlLjM5mMfLV1ckRp4dXA2H2FwuwCOx7CPojAlbOr5eDkvNJn3fBoFzo8pfBZjxdTcChlv/ly8Ohg96dMk2/ov2gniJDkonFDcCOYZp9UUQDx8ZGZFZIJtjTCZZWqYV4esW8cqNb1i0wpNDxazfQfGtefJe3pYA+vO1rN1T6W/ithJJy8EJbUNTKj7lHgcJJ4LDgNZJpqP8ij89wi0gOlAz6hfIJPImEwLRf+lVI7IfNmuxPeq0NYR2GQr4MVqrWThOKPzMWqCGwt+BS/B1z3S91qHZpTVXHgT72D/BIEKKy8uITmVMGOhqShwpKy6gWkXTM4O2ZqYzQjAn8va/g2H9AUOErUc1VzoO0VsPNCL+uvfnKbcjeurfI4y7lYLnPdwrw18JrnVoyozOwHA7xwESDSoF0sw70pQRA4jkVfFNduMOQrpf/B4Pwp6ZFSPXkxd1sRcPk6rIQsRAeRGXjkSAoIIBZ4SbgYoq8c+MZTTPWfmomQ2EORjYCnaFsC3nYUAar6M45bphMxWGvBxWtNUwQ50KGA1x5W3dbdbhUGZJ+pq9Ff/wwa6oGE/ZFmX2p/NPMTz40vFVUe5khtpZbcRsN7PtdLB6cwGF9NENjK5lABQquITyQPbJOW0S1YBl3Tb4GrkKjH1IMhv0JpWWnEr+j5ClklRFoEEKsJHoC29Q6bArRNvEWKetj9V/16HgposuoX9Ty1xFN8wp96/hWrhtfhpAmHMxJEVjYsfSEkBRkfj5k0uE71WahNTeTnttJuUPEUBOKBMyGzhQ8QcY1oH/fmpwg2lkuguLtdsGjMYSNAt1DmZMua4SAFRgmzc68J4fHUQO5uAcMFsLaEEsTenceI4qUuJjy3CtAYqHDhUuQr0Au7PUZnE2xE7MMHVp2mrTl9gTOg4hItUWs9uWYvyoBmYlx656c6EzwgMFkbaizA4TZXJmxzZC/5a84rHsArua6hPB1NgPVHn5S21r20x1Yyfa2t5pcTrM00CqUWxX+YYOtOtTMCxzEHQgOE/XXxS7e/QvZncFjkk63fCBSRdECYBQH9etQeYeylqvqX8DYx8Qrbqprl+di5NmU3Nbv8Y11efFhTkrr/eur31Owzv7Q/70oajmmOc1AZSDNNjKMNX1d7o2Xm0C3DRET2pXVixlfuY+lE7CRyjDbjaZwSFbaYoiSdPQX4rXrC0nrcU4KnAR6oa/etwt8vNT/E7+f3r3/79VTW+VXbnyITt+mwTEWWmYEYRGzBU1JBhg7yrq3yAgQiLFMgryyGc/IoceMrsnuQUjZTgCSrBdTMmyeBolczQLRFx6q6Sn9G1Dy66YYBkodu/c92A8CZs9JOk9jb7ePb4Ps9mB1HoNQZXtCmg5FcJi5YY4YXA2jXRgfzSWcFdUL3V8jkgGIWDwt6JasU5gOzZMgMaXlMW7IOj7saONA+Mnqf8aVjlyBph6bRXYiCgA8LPNWhqI0xF8aVVOdeyWeAGKse6TUpW+BroeysWlu6xskPI6wm0v4AfBAvNuNTVn/6LqTK9dv12j96XA+AbpM2nd+ezHPllJdVDX3nUFIZj3mgdebN2EiKD7l+stbHRaaGVRNs3NKOwI/RSzA16gJUqQUrgCCcTzzC74ve0k4bkTkeMsSHwr0aViM9TQvGrG6/E7KfwaIvSqgynCTd3dJ//+s/aImhy80AUYAL66r71pnILOcU/xJdEZFeDn+oQzclCcebJCFZW84To6e+9MlO46gqWiHhQSuKmpMkB4SBHJAU7tj59t0YSSKiTnosTfc5/V1iYuFzFrk611oDA+WE1hSSj5qz2uLbcgbGQbMKQAvV1UR3hT037NUZxumGkfYuVtXzsNBRheFOtMOB7r+ZFxQqgmyxHlxfm9eaNo6E/XABMdobo+ouRJFY73rxKr+NIC7whMv1a6vrD9SJk00xKoglbxaIHLsAykxv+GpFWpMe69OUluwUGvDKJVp3aWeLUrz9dTy0Bz0Ilm1PyhF/151cdAiLQrG4i7IMhoxL8jjWFipLB+DLWTEb9/hgAcPT2oRkWDlLNlwpekPqFqh3UZp3d0b7DtZQfEEzYBf3jdrdD9+mupted20h46hkxBpStTGMR/oNz5IInwjS4wvwhgXclApWe3ZpOG9iv5d7wfzM5bJUbN91h1Tf1XuOJEiQCJTtFr5Wa8rPG4efh0+x+nl+OdGyq9kAq6VfD8VmUBc/DOkluUscMJ/OcTdrrgrHOXoAMGdT0aBwqZ5SbwGrCGhIhyRaJnDog6SD7DPclfsl+OF5mg3jcR7lajjgmaeUyEaB7PoCByAN0ctUwl8pRLbUKDQqwItDxXTXCN4MI2+Mut6zQHCghl00DEhovCKBzI4IguPK0J8jrhVr0nnlmRsf9Gut6E1BvnoQWOIUgKlptf2hYE8iWHLflLxNYG033bnn6cW8+Jrl37zHrgu8vgbQIpNvYFI4Fq/QLZfoFa6dUqxQLaDnn0dM4x3xQwiIxSu2/NgVrtrSLM6OUuR+uKOhRsdU3+gkWja6vp2p2dz7p+ycpD20Kbtr2FPO4amKTDOtfRKX46aBHC/FiwFIzKmaRGkErqBqaV9p3t1935+efednF1zb5Bjo1Yrrge98ROSY0lPv+bBO7vEdNoqlWg19e6eOmrDHhEtBKSuqfct9nWx7n6AnullO+WlayO5dtF28CA7HShKAVUU81b/+rRrsv1jkcxOIDEbzWCHhUl3tb0i8M1WwHsSRscajb7pKDUg/cf8gjt/xNV+HFUGjooc9TQG6T4QJkijj5c6VMivV4FbXrA0t/ZJdPFTSje7x5teL1WVTtO4W8RiZzvASD7lz/el6DMTaH9XVlxnSJHwbROr37MRLgQnnI5Isk1YpzFxgkHgXSdrER6BD+kpRJ1RGHPupMIPy6CC/tWMpOxifHX6OkXFJ5BKbdK+VnxvBUa4Q7IJpgDNFIKlddAj5FQr6cTqc/VmtsTPTak7WTBXLNBMXGtw1oY34V5tF90e2NBSg2qVRZXtSCSk4I9dN5CJtg2TS2wTqi1DgDsjOPlw7HVeQSzfWstzDTQhO8olDN1NrpBnKrwBfyMuOosS0rtG/xDAg7Fh1ZL5r5Eoy/9ZYuV5fw4YeL49OOOc6sSknw0eN2LFDjQtokg/TJvqbWT2SetqbPQRxwYYygx8yZ7PWYaGqgjdhyiaTiAo53/tAYws/Jo2ax+nkPWmA9c0G+AHnp1Mxe7bK/ZLb78GEQndsFzWbipqMR5wrGxFR9+TvWpSFc1Nz2AgWYuQJ2B7d7JErhER+k1Kr7bCoBYoY7K5GW0ZeESNUrBa7L/GgLT/Q7PbzTKMa2mxOVJpFF77gEHR/IR8vZgKMKnnqwGxXPmPW2osO1I2Zk8ESIYJcT8WzCQ+9dIBqFIjdfXPeyjsnb7xciaLROB+qf5qaXbEfuzcW4Ns2FOlHugllC9XjXSsMLOVqPxsuIhpkSlh8Q5grVVcZvyXczpdAjfCAJ8iqvfIBLYpdXoPMdvslII5PKDxKgb47YHsQJWIC14gzlMa6Zg2wMztbu2PCCPvDITEvwGn5EtosJ/KVGGOuNV+v2GkQSzuIoyYkNvS6HPPWLQc8nmP6vUIzETmLsKdssEvAOeK6cl8qpBQGnf8y6h5MKcthzvXAnVurVCM9WLTP2KMB/1IVje39qvbzL3NNYHsiEY1T1VVzZ5eoFrprRlyPmxM5A9RW6CsfUI9/24tWrkoFDiHsurdNRxrlSbku5ondSZZE6f06yWysxPa3QsdZz4zZDtQo1TdDBkUzP8s0yIidghhVBdvnOINEwflB2jKsSD6jOUuTQDHmsByXpLJjpQ7wrmosSu2KA6BvDhaeO/EdQeF1ZZJ20B1WnuvuqPjppyDvDqcEq/U8DZavP3hbXIdEUPgNz46owceNSzIe7OEG8ym2GV2tyTs0sGbOqF0vi1zy8XPzwfBrS8NgVehTUWZZ/VEZ6BXAI2Vd+DqIqZh/bWtNZ1bbzX+KUFgUj6lPT4Lv+RoYdj+MIzRTTQf/KridpgD0yGsuqjQjxUFjWXVArFuxlBCOnkEoUU+t3BAEQF1Yvt4knn323/4q/fzWb5ZbuVlpJGE2Me4bvjbQl+96obFibyVQsyrc7KPjhDkvx5tbDDN+SI1UcBUECPKeZyMhSrBlXjhksbfNVSks1levCUXuA/7su+DD7hVZ26ynORKqCs9uVCZs0NiqCgs+6VY97coRyPJavjSYLsj6Y6ft3gGAuJX23gDgPSt1Eo9NKUL88oSeRvHpNCPkdEZNAhfjno5ZMTbruqqLbgwQP2eJVjItorQuy4fXMpkoZgXaZ7GcYU780bbMcCHJq1DKhmvg4K1AcD5X0gkYRRZXGru4WZdveAmvS83s2A36II8+F+tKFp9jGObh3Ul72QsP85oth+XVIcnRgZZdQe2wH2isQOIr0L43NnFaw75Abg9fCItdYTFarLdZcVBts9rymRq62D5rIlZvEF2734lLtnjVRqEjxjOI4s68PevGFbprF00PCvxhokF4d+HCcwGWYQZkFVQYVkUkI7kd0gZX+vgKBOsPRqvYz/I6AUdSnzNaXl3rdGR5g8ykpERKJRTQQ4bjN3iXQgrAv142rHd+TBVL2rOjoF3L9czFQYyx27/++z+Ondj00FE/maE21uo+m+Zco0hNI251NZxXM2EmHUrvEsaueyh55YrNAF21oSxMghkjfxEaZBlnxyXkjsijO0cqeuCESMU9GWY5FV/KpMfXPjrNrKxDGR12vZs1w26I23o18waq5UtLMY8yW0d8F1FAkmKIEtLq0xjIp/1Y4Kbd6ymp6q+nSHSFMs6XJhyFb0bW3bfO9BXeclI420vGwjQXwhNRu5bGfNs3ZVE7Xql5cHxAITXwOuIpACehQf2hgTfqGk+0MXVz6FdzqQReL/3htSsO3BY6LusM0EFQvYXHOlXqQOdQhcgodjKPexpnCisagly8AqPwg2CGItYiEtnGayyDAFm7qk4XLnpm+wa+TabMLAtcLX92uFqtnco+zG3XBX3gnRndRhFsEftSGXdG0FH7FGMbHCGVBj2EkycbXXYgFPmizEoFjIuNxXacMgnsN7Z8RZC7zQZHw8Cx9o3M2ZRhhIHGBChVQHUK2GrTLSqSrClBaI9jPyyp+UscsyWP9b8kpKpu1+wUrktzN59njRuzMBjqmRrHuITBBDNJhOsR+8SU8sgMNJC5tarv9zHoBEjG27GwI9TE9vjAzfZJhAw5KyxU22Ou6CjwMMrtRlkvUUh5K9oXS6RPpSkVwcAZrhoh274c8Z3l+Lmlig571mQOEmGiB0AzBgubEu80v2m1cEI9VmdY0NVFuC0WZshiW+htUg6SzDW4n9dWIRByBhmLNO5mTsqp3+WJz1zmGtGQ5+a8SCQZCzFOcQ8XaUQcc8zIpXj8Zoh2t5oZKIVpFwjI3q2Vhf6zR9Z6PMfdklcCKHXvmjKn7VGdCNPoOuSurMKNTInNb64jYtW0DnTZQimdHBc/3HrB5ma0IXkqkiz/IleZNRrMg5qq8m6XbU/+l27OibL65AWY7V3AvhB2hqrBcDA/g3mhxeyMDSAj2/RYABXrbOxP+AfX/TbXmAVp02WO1z1jYdHF7PIBJKtqxuEDhL1+qRv/c2mUqmR3u3u9kgmHixUlb29WjN/QXPKhBlQ//dSzEptV22SJ+KsL1eiusdyh2C/1ZMtHsEv7iinKBIHlNXQV4WAvTRG0fcuyfEr0HomjNCwJIuwBnPJK8JK/0HLGCzVBuHmCGffEQb+oAfud7GkqEY31jlhQ9aDGolHJQ4LIbfB4Ab85brmH3pi4ZRg0fr7gz/vuQJ4JKOeeKg3KGJVzui5fctYNGaWNI5jNuQCKKO8F8LWolZ6kkThGAPAMru3FV19Vee7EPt3JO6y7Aq7sGODd/6gWiGrdH2HbUrxQuQhvtuKu3t3Q385ivrmzT0F4bBNMkC5AM/9406Y31Bi5O1iNMFGs0TSMTrtXOllKEHET8kKmOWthgq7uF6zQnj7iN5UJAGrUBPCXnTi9BfIwkimdS5XnbOUax1P+zIpLiwwR2wlaVlW2E452DcfY7PGhvqESiI8ULNAbATJyVqihWRTIE1d+Oi7Ty8Yncmgw+Mb/tguQDTU5HzulW9Tt7vd4kxCgvoUmWetjC0Z/Jm0hx6wIucIk7SGjsLllOHpav5ZngV3ikW0BzEQlgAXSNDeyOxS/GwSWea+8L6Z1+vAD5kq4Uy5fpHCcX3ZykZHMB6JGk1HJD00yHOJq383tmfG4JnBIuZi9xIO6VSskCSOpKj4AqprW4thXkeeLHE8+Myc+9eZ87FNiy9ZO+aGi5dZey+E12PuHYwzIs0RtCbIl7QK/at8I0CxvGnhXmcuCo6Gk9KN10HLUFXshIaFUujrXYOv5aCTc1DkMCLiNx4lmeWXgRg/vQv0APNf5dtJOGR8Ay0qpvHAWhWoGUSbtaaLxmh2o6e12rG69EmaIlmZr5l3t7O7GAMRx1CP03JX3nsopKvWUYBgbRuWYZlVZqjmBBTzz/0k5DVMypYhTangWgprxU/FKMWHRKU6r8ih99HmUc0KHANH1c3aTr6KH8st56hHr6dJUhwl9qsVCbbsxchQVnurNVSkSkKqD1vjN0iXcxgMbDnLu6Sn3t5ZQbMoF1cibNmHYrLHycMCiOheeGCUwWnWYxD3EE2DF62LbMuIwoqZ/N2EApZ2KhKXsDGEkgJlx8ueb2aDDJvkLpeDgQPQuTi6z9rBCmlsnEcPeoV5dD4gsx8+WZNLMXuIhYP2aaqTjGAzuDki+BtMAAV22PyrYDJCQtqZ/MIUajcNRhIDeZ1TUGHfPjEWAHQHdGK9OWZtPqT2SV90fQ1Q3pwbiY6oBVmn7UbDIRVaQ8BB0J9FDVTajCYwAJD9qXbsaSzLV2Vd1CVy3sFvr17/74WD+oSF0g8zWYjKJ7PSJxIaiDPT599b3I9zvApmSsE7ZGdd6u++WBQHdnS23oLhVyATwj4WY51+Js42wdISfMYVE8nX1vpBBLQqredFt/FBbhrWoFzv17s8M3vfnJ5YYNloqE06UkmQYOZ2GYFRYSh1hmPpbOOp/3MEnOwL749IWW+rhFMsLosxOuUzCJgMbCfZ1QYzDgEphY1BQpNgloYRqq+kcSOpXN6v+IlX49airIXW3Ux4+qSo1a7FQAls479QR+YK8Kp3GWPqBdDE+GIMXDmMt5N94X/VCv2gZtUf2zPjqcpFZt+i8MbuG8fAmRMGuoQbP2+Sz0dloZu2NaNgf31Z7YZTVYiWr9Bd47Dn+83s2+LbLkmy3xePVw5EgKM1Fpvo82mW7LBdi0Y06OYLSsMt79lKAGe+kWZF1EFp66sAVRRkyKKcpu5f4264XvX/uqRn9d8GmRCSDZEYCUm1g4Sbo3ddtQSgQ3PSGXYkty44E2BVfaqCUGEYHsfRYaBINsiWq5DUTJHn9CTJB7l4yiFP766YchuRdQhHApETcr5/zLGvFlYcObsZq3PVcAMHpYdjxsWPYSdFLAgTpFu4A9lsIfeng5UOvjJb/UVz5SdJWEodzG/lWpaIKnCFCnt+ZQg9toruG1JRm/l//+o/TDZO5G9coZ1ranJMxMejZNp7fbpeYp3N6jgR7MxyajEwhsvAUeRZMhd+qsjL1bo8IDNjUjtWi2fNpZMO5UpCn18wjuFDNZHhUYelErP+KNjVP8SuH0x16514hVmk08cTdEDvRR8D0hd5hI429Ff6ZfLsGE+lzBvBQOvPPjAMRdWhbM8vRrFQj0f3L9UC1JDysjaGVXQrkcTC1Q7cbG/WDDVd73Y8ngVwo+TJuWDFEgXkO0n5cbuuMkVZIJMcgIgUPCpXJBkGlxTfRz5CEBtEkbletsANyj9Gg8VtEqJX35NqFxB8PH09XRkp7E+n+OGU9nsZP1JQbaVk/YSg1Jx1kTBqYnoSgsP7ys7yl2KMf/GCwtXrflxeSVutZAJUINp+synFPGyoOigMyD/hZh7vNMi/9qU5cXDFvFET5ePtJTTreyKSVNVUfnqSDMuK8uX8MJxlOLLJIWYwn0c6nVXqIehqFh64V0JaJdRc1ktlX2LbKY8PAzQu5m1xWf2hm6RriaqaJW2PKOapPmpCsvvMAzXpyzxbdU6yxkPCk7Cky6BbDaSJ8uhJKwyuI/J6xS5HLFRsRCQn31ruhK50Pq/rCugu9D0bXxddcAWP83rp23DNAwEtkkKarTbqhY81dPmb9BjQWid2nGSpRgttC82Pe2ASlDCXHrkdaKUnccEu5VmFqVRxt5IF1X+r4Olswa0wyI1buVfVZejSil/M9rFueYKoYhHaKziwF4OkUArviI3M2a8hsMkhs1bTBN+kls81ymZXV4x0w9h/QMm0S0i+OAZs4KQxAUZh/hIGobXNBcw5cAHycSZObp4wzDzGP4L6NdpfYgMSRTJhflNGXhQc0AHsOIAFOUVGxiuayDIdoazhPeCPvhT7nhMxeSJl28Sbp7anTxB1BytWgn5rZ+dmffX///TPDUW0mBbg4+sK/ZvfHo+1rzeYivEl5HZLt9fXnPRPSrs2sfTg8M13fl/MJcqdAO+KC4wUr4xkAGyNEwpxbi2gIsMAT2gNnWcB6BlNkW91KPF3PU0+T1X/9YplQj7+b8uYFjn4sZBQtA7BRk19lk+aUlBqMD2LGO5kk8mpcI/2GZGPM2VYp0IBO4jmiM1kjN2sz/nWZsVfdBVouJnhtQMwM+yj5J1XHF6JibWPtivCKO04Ws/uB0MipucIRrj89h6sqbgg95vR4FlR8i60zXEF2RIbe39i+Ggk1LhxfBF4dntYn88curQsHNCMSaxf/kcQTF2LcqdHTm3XWmZI8rat16y65s49AyG15N4PShXtwBAEh2vjBiFyU/o0dVDXsLnmIYZUTPMIBIasLLbI5M39cYjxW2pUZD0tyTJidW/nmlkBybEiFZRTT+EfnvyqwAQLfW09MXEL0kEUQfIUFqEwUdWQBp0elqBrN5z1CegWbn4prKQN9n9wxpTii3nEWDG3uBigym3gw/Ou//wP/j5le99J+PL7PfyamEz/KH9F4cdpeyxKwtvTafxb0npW5/IJDk82wlbXA7gNcmLuPLJLaVyll0dzX6Zaz8nQiv47fMIcbkL3PAmtbSn9mfhRGzKnTNuFBgIx2OeJFdD9vCrVcEDowpnVvBlZM6SNWY3ZvXN/dnfuQRCHLfDO07WNVT3m/uf0YEAoPPsvALxZraUv6pcqzrsZukskk/PU4W/dqzDW4Zrh9uqrlWOa+JCzzRrSiBsmKGMvuWItMs1nBYbUCU94plbhTXj1wF+o17Ck6yyoK/7kdHq1x2L2R0sWFD17fbIQP/6iY/R/oWZPrdvkAYnGJZ/GagckVMDLh/MvnLohgVBp6pZ21TYhY2H1nJS5mFtqZBCkzPEljxgAjZjaO4vrTLxik7Ux8hhnMf+9hSQDHQPCft4yVIbBZFrWe83Bwyc72ulBgHsqdmuwNartlehZK97s/OBWUrxWepwDUg/b+6qpiYJ72daDFOG5CrX5RmkJQhRqIwbKLVK3eFdjFWctAxPvBMdsy8NyfhWL+FaUxST9Umyk2BZ/WiACerFdMF1qgVFuvg551Q1HQzJ+RvmQCSq5iKrOAugmWtleFKz5ZD6JCDt3U1hAqPFHixDbwxp3OJ8/gP1YWuB1Yp7OftAYqNrDKBRHR5PuLbQjShpEhexVmg0ULQWzJPAHZ/AwHcUCxcixw9SZGu0UVvTJW8Zq4Lme7K4JWslzL2dNHDb2qM93zWIeHI82H9Pj2LKq8EoLOD4fQ5fHFqK5GanFruYhmJ351fpZysxVpo00lmCyUwM4IBhXVs9kDIegAggBTO4hcxOUJ8mehhFjiK+yCM3iaLTBX8I8dT8eDW5she69rSSiQvmFLSsuHBuMrRe8aaErASN0Dr6OAgAcZgaGuaymQ2oly/XhCezw+TwG1OzP8mff3z/y877xQl2YozrxbxD7FBXbRcgBeARa9g4ioLCHIciijEQhajyB5VmoEMoLgjak5eWbooiw0AyNZbGdEyxkrWKR3vtunwQE5/SiAqSpduwrzsPz1V/9b9/NvevrXXyw8/otZ3mpUzgvnll4OYaTei0hd8sC+Xws91V7JZNFjGqL4fAYtJFlemBGhxNHXpNzBlvXpLj9hHndH4zrBKWcXrD57CTcEbvbk8Ywly7CbR0WXwA5vTtwLfCBCiSyM5YS9DSyk8P48Jb4zMNo/kG2noys6/ezS6Vksxw+gvTleN6MRJulGJg1tmPUFy9a9RhdyHwO3fqIcAigjMD1M7SEIGg8iy48rXjihwzY0UcpwWOt4iT+VMgsYsXCCjCi2BKHdW3tpNtqUH+3jCIX29syKiWi785o08xVzGgUw3PoscPBivAzg8BV5bHpZnBf+de7rvzUvVltH++vDUwa2Fl9dYpBSuorHMkLb246WXxFpRtGxj7W78UJTcEX11fuegWpmqFURHJmBx8HdvPKqfJutQ7rloY/DscvAlMGB9EAg5jvIp8FdN4eGcTvl1QuwMBGXDjSXpfGVLfj+kXGa8+Hw/YmKFHIGH6PpyXvUokvvuj1FiEdoXwtLLF3IPPnRxn6OQ7OnikH8kdZs3IYlj645iOEQEnpfwEbXdVOCKd25BheTXijo7AfhFi2dPvLOKc56WYWq79rvzy4LxZ2rfc1t9SzPdrGM1FatGC+98O5GrKKzyzrzjIr5nDkyCeL01vgnmAqu9sKclKtvmXtJN2yf0itgaT0xGxeyHFeIHSfUtVznOjb74Yetr90BqjZ6U1dHzKFLUeZjF22im6FAsQnuEh/fU7fKjRINcnwk2wq+VpRD31ZRuywZKP49+45m3hXm9VB5vfuuR2D3hTUtl6zhrzeCi0nDvfwYr3KomHJ2nEx4SVhAOjy3GJlQRqI+PK6yiSwAtjml9cY5w5NlZwtTkrhGHGMrO73C43u5GJMdpxIoTzrUg6eqyPqrWtv1wF/maJ0EM6ueBBXdYbqAIqER2kaNbgSX0j5VgFZdMUiW8KN9THH5H1lnXOsKXpHQTGgbZEFvF2uo9unVCk/kUC29SMNz5heOGXSHZPsVACs+NC3ouMfU+bN2vNHqehxpjSgfAbYUx/q4K5I817qpavb2d8axqGgXBZ0wX6Zr91anLSLyPorYrthavrXt0UmYNXDTw+B2wWhAjcLJuaDd6sJiluI2S0NlQ5u7jO3FGDs4P+EF4FVT5UErrw7NIjZ3fx7fa+x2Ol774dACBcfzkMOKWHULNWUVnFvWyry+IUUuVG9NK/aUxttaGOd7z3X4kp9RmypVP3I9YIGOj7zThH9ycoqPp7sduMcIqbmSDWqKgNbqeCY0ZWgNKTUykV3Q7rJMBeDWAbvGEACdrgOs4uzgpS3AqSxOJxsbac4qVD9WZG8F0y1yW5538pTurtYrV+GEQZdntcViE89TLb69vwFqWfsT9fF67EOA1/SsRZ5lUhvyQJoOzUjNOFogBDDo5V8Bx65bQslTISdAWDSf89CKEqol4dwLYZZh9UHdPoFajEfXMhYFaiYSQupVPfo9+2v+Ur2l6W51N54orYBGozliPQOhUTKMZUD2K/7dfhyjzQ4KECyJ0IB9SZuQus5wBjU7nn10vp+NOkB5GhJRLra8m4LkPeb6vE9GaCyo0dD+LqS0YxTc0Pe40pujEzLs+JTeVX6pzMEM8ZUtBtTkot46Re24fruQ6AJTq75eJxF8R2ygqR+hMILdyANkuU40Ma2+z5yJHcH8pUFlWb25rl1zMU2RSFqs5gPFWleKz0JnRAhoTvcerNmzHevca1mk4uobhzh66SUFVtOzYum5Ai2A/LRhVeWW0dArtMBmtRxdEFPXdyTCgBprSp1q4PAi1/9unimbmtb8IwqpA1Y5lcZNpgIbZL6DRxikKloRKlfOEU1YsCyX+HNa/xQHzMv1YzBlLZuC6MggOTzZvQt5Jhv9jqv/uHWaSdGC//Xf/3FjgowoJrVlIFl3je75TGOI6Pkeh7na1NWVDHb4tzklJjZ8jSiFN7tGCnCcdJfSt4vC8d7faGGtod+LIMuHz3vBnPeiaNOgtKsC+jG6WRHSRSFBAjaD07FNh9K6tk6ccusf494dq9pzZvR105eJCta0LOQvBGWQhgR2XZZOGRQ6usNJybIBlaEuAVx2SVV6qtmqqqpqcujB0Qr/ujFAqaLrA/6JvYDwclv1pk5JwZMYQzpUAbj7AqRmwJ8tqY7ZLe2WvdgDi+1uM57iLlypKzrCMLnKrUuDoPx07pvHMOc+r0kb61mwpBplBppLFrbbTqFnO0NUR65q5omA2Ca+7EVoVWIVflZ6sbOvVoh99u+NpfFuKgMbfsLVB2Gds+dfW81H2Hhuwlt3CpAtI9Y+XWuszbHPlqoEVCi/PWcc4eQBrj8Z1jmNN6XX0+PBfRL6kbbOuqKyqR7OzwKVFAcKqC526SkJ2dQFDVmxozEmFg+yzsQd6UmczuxY1X3JDPt0yptTQiHDYy4Ga7NOEWD7EZYWS7U4BQ5eZKx7VzcrWjJCeQOlxWwY94mQwGpbmuSvGW/4E63CwlgpAKvRl9unVzaQltk1Y535W47WRugtBdEngfPxt7zrKlmbdgDyALFzaD63aPPyoBrG/n1dysOzcTLJUjOj6IYeTC5CG00ywcryR19KrqlRJPq2Mtu+iHC1oxOg9I6ehvZBsWpKzaqtbvspOSqBzf2QEikDv/5294w8fnLF+L32BPKF+NRNBDuGtTtKqzIzY+z/ohNKILeVBAZfd1WXdUapl48BCIpW6ZD0kYUrIfKcJXELgRCE5Vg68138kkqwk7tYUaeGOsvLkHFswKKLXXd9TqUZyFwVG4WbW4Jd7poxrhOtYtpsX1oE5g1bsGvcRtlY4kNTXadwFVHGLPDOeEHSvPr52Z15qXlPChLvYuPly6hvTkYuvx0cgxZceVMDiYQn0xk0xRhXyxOzjM7kQMWlsBtGs4zXRTDhFHwSTcm+1CzVdm6Dw5VMRrvl2+p+Hj5P/Xqev57n6Sk+5NELq9tigiJSLWHNC/GgS5Vg17C4JXs3gEAcV5R6GixLEBs1/pw2fDv3C99qQyN+TnbZkDFsm6cbV+Q1C2GM1ppbbKODSK5cOs9MgjqUWLW4137v4eqk5QG0Rq2xh07ZDGT3xzCpEctgP951fzWZu2s7IjnhOnSn9KXFfNDa4p2010jqZra3pMF/+QgwwJBYkaNJuYV9J/bp8AXar6j94Vv79dw4dKKua3GKdMfphxF83QgVw5VXE2iWl80x6OH3p4SIi/MrdGVpDFHOQ48HsgR2zAvZhfMjfHmxMT7wrmEz7+wIVPxaveKH0HVoF0Tkm8/YYvg3KvKhJYozk2+bXvwWueWZyCX7CYrC52UQhCKj93SnktsNG7oGSTBcLOEWZCfMQScI+te//t+pVtPvGJb/5E264bnzQ3KFfAf2XD/C4yb02kmMV03669/fuRIjGQjnKFGwvbAjqY7zyiEedzUJV4bK1l/DAmgIYfdt8GyV5ZEOf0A6JOojQiFdNPDL22AOGOT25dJ/VAhjE0hDa5FCAspwiMEVIs2iGTtyFt3+3FVwvWxpqtNNd2oxL6R2d94Sq1gosopPPyp5USYL7frTqa31yS1pzAnQ7CTP3HFfgBlXkJurLeH9Jhhyu/25eLJX8xtXggZrAwm+nD5kGkXzNnl/9BJ4RcLrxp4fcfZHkKo8Jka7Ufrk7jrqlmW/+GLB27qVOjJaI7fskTGytFrNz2h+3t1VlYRZ4dXgfh1MKUmyhpNe7gNgdpB1qmUQhuxG9ZMoXYYC6OE4CXLPLnE9YChpyL/saULyM8AL+uRIYR2E6wySM37StsZKKRINhasfE3buvVSG3p5WV3dZQBvTNbcOz9POjjnhpfNI2m3V2NKE2PU/tl8Y0qQIKNbeVngKaNsI6IBCn4fb+mm8osgubl6acbi67GkBaiS9Cu7IWIBRBONcBt3qIbMOElv6IeuIFbjhdCzJHf08a64uN3O5a/c/HIW+iMFcyrkMMivS1oLWtNeCVR6Q8EDwbrG2xBfOz8Y8TNZbliDZ6dU85dd1rLxgrjL9od1tVtj3FCqYDM4cAlXJSgrAlVLXOTAyI1DYhzUgzr8ZRdfFBQ97u1QRuzDRBh5DLNh80be1ttbGuMg2k8QQnT1RZsPhUjdOY0kv11HYgDWVOz1xZ/L50y+4qnrwLg6HitbK+RA3TvnV9HbXCALjFpzAkrvb7DcNCkoZpI59umJjp4iCvNspe7m58F9I37dYMtukBESf9FNs6Yv2PMqaC3OQor2j0n/H8iBbEw4AsaBlcREvSpuUFLkzS/EtEZUjKKiB1+FZK2j27915ue/7e6TZF/KVLeA90ZhlexhZvrUE37atOFIb6hTJebUZ/7GHgCu1godVHfKCLy7EKsygygW2GU1X29LxPmKSIg4jcIeBZRgFmCakHrKbzaf/qn976q+uajcBwGo7P9twh5dTgQibtFNIeNyPdx+/1B33ng1ure63ktJWaefSvNvSEYqLXA2mPLK85ppVciGtacsuzV71ucBOBA2O+iMX6KZ7/LfdSbh0g1x1X4Hj32rd4qe6CFSPcqfl0BlC2eCBqU+8BS/ONPO4fa29Fy3wH4WQ0eOzZvO7+ROm5QUggmFFBkmDTjC2xC53tavdsTTRSV7E7giFmZNc4H4Hxu0uDkHNstygUrthPSjSYqkmFk8ZNqmUr24lpPX4uotp/6Yr84OmMV+IPPcNrsxD49AFidl05nxVpXdlm+TwYF20j+WHsiY+5Iws1PRuQNvwMUcygs5TKiGV7ffvzTcm58plEe6juyy5VgF/ClFX/rU7yPT/dTMm7WNIYdVFVuDusLyzgsQu//v/+vdE4gAB8kx1xBpOXwbGLTRytLLbw0rStle7hSzG1W5SsIbIkU48rbQOpi4ujaRrsqeraQ3DMO5Jawo2Yv4HMOMbgW803cnTudASOyN/RqJdau9k+jYcM0znbzrRrKrKy71Fl9f1JFSPNsqJ9M9IKVqVDiLY4ldYmOr1MYeqadcTB1xHEAIVH1WxGl7A6cbW90D1VKm2i0/VqKoVXrXAqipg2a6KAl15iFLGDTHI3hR6n1IH9ubazsY4z4frirgiDgeMDfnQjJ8nhbxsvjyJda0uDtQGrrZNIEtNj5Oi0phEnZvE2TvYm1FNBz52ARWttr3q85YdP/fqkV3tslY/iGp2dnaRX+Fceh/LgRXplkH8mYB2rfb1F+Ycmw8wxYyS+gfqwrolR3q1WK9r4HJ7Cys8cc/1zEh9KciTHrub+neuQxYRYxxPNc+GGkrsMzHRBT2NfqpQZfENgGID6LLP2gOi3Sv2eipESX5d0nBZzfeCjsdRLsUd6mZcmakGAA2i50l1vm4/bXwifzG1iy+SGL+XLBwtxo9ZKnI8c1jnpW8tJ+Me5xHiVQbQc7W0kqp5oLhy8po09LpiGGILRDzc6CywHylai2/mDHltXnJyy6hX8MCJ6wHE0TTRJtr1a9UcikxkxFJLJlydnOoRDT43L20AZEOTFVvCmv5OTvZopsCdrcaump0nwewyAbPb9L6xsSbDq/I1i2q+kvUz6WO7HqeZkIBurpGiNRx0yGGbqWJuDKHwrXGxtdMEFfIbMemKbAt0GpWOrgqFvZZXundCBpXfP4CSj5dfkF+VRzj3PGH0p4ymh63oQJu8rgy9eQtTioPkYWRBNvFHVOLf7PSJyW/YeAjELtuVjDJooIjOeIgSTUtco5AZwSCsE0CXiMOTEYnl3tHfwEBSYFr3B5HAFxYvhsKMZvHu/P57ft59xZ3B4J/Z03WFmawBso/72jtERuCNdun7GarbE+17EHw6FXnw2VZZ+Cbq3JSp2Yq83D+9cPaXLbye/Q0vyFP0UVSXCu1A063HPMCjZj0Fsasymt2/KKFL5QlcBACog+m88TgiaBkYzv/kKFmQoB6+baxFWIwQr3fj81e2XiMgqiZDo61kNLjNXEOha3yQtfNTePZWOEnRScxcVaXSDX4pmGhp3yMlc/4fZyaCUW7fzQSqMNZ7LNGw5059WclTopVyuG5duv7x0xFvgCTu29XoFiC5NZCTcgQr8OHOAqvZKJjgzXgeaRqLntydabMR3mcxIKEwPAG7tYfQ2JoSrhqh9mBN4Skm25+apKjX0cF4hLPRlcDiFp7FZrxjDaF8oMaB/zEklAq0/ipbB6x0VCw4FIdhSisjA475SdQGbMWFWtYRuuayhjcISQOT3TouNikpgQBRBfnVc3foWJ6++yvA/KIC83+2Q1bwIkR3QLSbElV9ndAfB21jpuR//1//ATd6drWRqV6PBRaIXrwAP2ahloiQ3PC73KhGeu5v1ty9CocuSlZ787eOoowKB8o4Y96gQjKlx1UqbxdlcnO/rm+lZusG1o9+WK1tOHPG3QOlsfLgxRqMQSbA/cLsVDaSqsvbOT24SCl2Vx+o4iRBFHs3Su1Dyj25ALtYudJTDyc92yb3p4b8Pqt3sDGSYStb/OfmokCzUG/XrzwrskpkuodHhWbTixPUbMbbAjnpGfA0IevuCRh5czpUsxPVGyyRMUpPjWydl+99Riiu85CRaWX5mZ9zNDv4x0BL6R9IHMjaOAv4H3qQ0Y2cHxst5xHE7lZZhlPRcDDYjylKI3f79w/mZ35WMxBeze5yZ/k8O45qQkPeTeO3PmUPJqcJe/szn5nUmHL+9i9URRk4S1uu7QE5CHfjokNUjy1iS1hVJs6J0OjBwrLCvgCtT0mrLYgmZR8XcG7iLe+uC+Dzq/HYVsMSpbKGBny04ydUcVZJICBV2RZPtEEGpDv+DBXshK8sha8PJPGnDMiTm8hUMFVrx3mPuDk60RWH7zOKNTt18EywABdOFMCd/f6Za+4lFtV+xki+H8Mr8pwVDHf6g1XK16t9OjbsF/LPLYNxmDCdLwhkS1NLFf7s/XQBYIh+Plu308x4Nib1RxIFlluBFJckK+cNXbHBregrnJm9sf6PqOTWlTmO74MnQd5Hoju45+Ok27BzjwviPMjy415lzszCM7tGVNk+3I5/KthMME1PKls5wViIbHTtDxfIKGLYwjT7gEtrUeGfD2TF0M1P5VLzIMKME5hd2mJha1oF02ImnoS1qOHLfowWOBQSDwdMyEAsyjYKYeSUOQtlKVwy1SdQTFKENevFmHDA5nU5PKcNsUaYz/U0Ct7llBAwrcJH690qeD0VN9oQHw60TNu7F7QpAlN+e18czXommcADd691GaS7cJZejfbv/5m/f//8/v3zM9LuiGyQbJXI2Jpiwa7doJpRIco+ySRet6kuGsnoBJZ8ju8YyLv2VBbfGvPbNJruMy3PvDSDNXS9i4tQR2cqN8+VqEsCNkj9+vWr0d37q9rrxT3AUijUVrMW1c6dch503WMRTFLCKr/mg7GUreimsTaAYSMOloQOaTlUcD7ycG2GAM9QmLByZ+Wnq+JMGmfvXVbq0XDTtgbSZmJ/5X8euZfuecZ2tcymQgs+TWz5qiF313XGJrLLViyHHbu8rY2Nv3mEGsSkxAAfgGKf9tBsr+GB9Pm4ivv0QdaQ1+6sNOMBVqyNi9crLZ0CP/CIEhjNB0EszAgL5FkY4APsXeaWO4ZCB/YL3riW7Hqos9dzN7Y+p/OWrX8dKxdlEtoyi/Y1MJyCFJVjS7pM+wQCb2C4Lb5CU3ZTTvHqLtlhBGZ5/MCEtHEXjHTTKWZEbCiRB+VXUNFWwJMOQfpTBlfUrj5LrI8cpfVc+6cFSZTLrVbgTDiZBM7vQmYsIhwiJf73//Xvn4uEOYEy7lGIgH3Nha2Ng7yG/jgjXPtofZixGCBec+bEPTpoJ0BSxRqP6CPAWQp9Zu5001RFD+2eyROpGnnhIYUXW2Dx2RrcCOJVOdpib/Q7BU6yCG+hxIcDGiM/sHHBXVlIkUVa+oAbBfbE0e6eNKnEQVgOXIMNhZDUsuYAIK23DOZsNGqt6kpHbsYONK7q0Fs5G+x2aCsCaIsTvH22QKG6254G/ZfwqshBEd3NA5jg/llEg/a10yf/NQKV2+72MSYYLoLs9nITOgkhFE4B6fEzQBhWcZDpIVifY2k8toqZGNsT9FZFgR2UwMSoWq1aDxfmpzSKXaBx0OLR7q6vBP28/7/fPzt6Xy52RpgFMSwfvELtbjlhVa+nSw5hA5DkkEyPZHgH0K7aNQPBhbAT3Oi4EsnjMizKChH7zM0HoxoYK18+giRLNaf3iW/ENcFQexAI33UBLQbrJqu6+Dxs2l5KF1HKp9hPkgwWaOvmhdorpxKgzejvsE0343sMJb7umoPDV4IKbTZo/POUFr7GtHi0KZyrlcNBdl2al16hM1mIcDgIIFGp9D/QI9cPToOYQsuD35s6H2dC5nAbm2UmAGO3S7NFZilZOo7LbCFD4cCbukHujFwIXP8ihW0wqpDTD8+X0uIIEPKS847FBq6lxrZqMzBoVE+dIUTVmbpGs0BI03xyF4vc8QJwitBU+ySd9QSWtpJmHlexl3vY/f7BrENywYtsrOkz/XBEs8LCBOPAQp0B5jJUglhEGMtUCmR60p6DKkscw2lZxx8li7lAdbhhgNJ0eSsqqoI2uvB3aeL0x49JCaSm2vMdSFtCpcS16AFkl8tpfynwPfus9cyvx3f9no0o6QwwWNgJ3W+nf/e2oCBLhIyvWo7kcdmb2uScnzqInSV5mod9KwMTyFxMlsq7JUo3LHtC3FBigD55VYaUnbNxnJN+FWd3tv7+mf/7f7//8/Pu7ruTs5BdlzwaUmwGJ43xu19ixld4lVL+MyJ7MI8zn0z3uqSk/1AUaZn9XTIJJVvFEybPaBgx13TTmZK0BZVAPl1oPtzuX9YAPc2yz6O5k6qufojqIGUZtnBMYxeyuUCbT7xGzmF5GnuzMntvtRI9n6FkfZfJBWVxHp94VAA83Fn+2hQW40tRXM3E+dj1nRVSZYGoTYa3qsYzGFzPqpHUOALTaH6t+9Rmn2PKicqPWUk+DrmJVq3iPCQBjG33t6zG4vsG51pXy09CoSKQOD+plOqiphtsDe2XV/Nqoxo1LaztkvOiaMCd4Brbo/924hX4YIcdsv88RbxCBk+zHpGPzZrHbMaJnnJajWV29vberJd76xBTbvzXKKZydgIsZ0JFbhuEEMO5tGX/DyO+5TwQru+fCzHOP8f/WorlE1wo2CmMu1uV6vjCgtU9gnE43xKEnb39EdZioXOCOw2lU7dlVr7JwB1Zf3R+Kq3QTYda1H1wd17iv/7rPxzE6VFi4I+eiZ5zSPu4Kn+PHDkBWfPmjpmwEtIdyWUPkgEAioGJvl+Unin/y5WSL9Mqa39NIBFR7fo7yTqAOvyZUeXh8vNsujwHr5xjghPrSR8UJ5aMOdwALXD1ll9v9P4uTUcZpi1qpnI8DK6lpy01D250f2GNx5UHFuWE9c3vsg3Lnw7Y8nTJOW2reamWopJ43JI3RdQUGtUs69jIpkAVucvq+qvpusKeVtIbjMzcwU5aUbfHQ+SoK9DmAr9Co/rNu2IXtGOVikljw45Gxz2VjdUW69VUCpTHRPn3ZorhgBosBsL1TaVHtDY8cvHx1A0IywXsAPKzelH77s87v//+vcT8FKwsKLzv6QeA9Es4ta+lAwSp7xh7+dnJRdTtHJ+xo/wha/zklt3bq1zbwPDwdU6Hhd3LlcrSSg7VTvbx+GqfUL2sYnZMXJvpagz6VdVdT6mfpx5W6LXSmZAc+KBVk1bZVuAVGuDxCcto1fcuD5f0WI6fXjxMUgMp7ajTPSJ3iYGBpd4ePUAoD+cftEtkcLneZuOOqb51wMHx8+eNIS6xYO+B/ImVvmQWshlRw9ex0ao5t4qUmH019+rTj5/HY6QuhT9UZtASBpD1/SXoNX7g+aYAf7QyXNvo6wbmjB+PIUJqgYY8lR7pGAPS+eQVfAc2JYcuC1gPwy1U2HieZcSr/gWBsXkxrmBDZpwe1Mpr8qaZ9uT6yTM+kKEDtetWA1LVns87B4Nwc984XozToZJN6AbsdBJJVFDugHZ3xIetpL51XjDMDdAif6eDTZkYlyTBizluJ+IdwQCzdAv1prKBUKopMt70qO1oTNz4LcXXVa6RYCkrda1YBPHpZmmpsXsRt8FKkLODGw6nM6R28mInLUjn3C2osTv+7NamxVKTImuBR1A1ZO4dhWJrpp8H3hhGABezsGA7VIdzlEekyF+rFYaz86r+/vv9n98///v//gm2u/oxlhTzKroKv65+ivhRe9rFP9AbT7AWnk7C5JcdYc7CfLNrGtGSMtiBJ9qqBJHMPQDwqT9laI2mK0g5AUDLpne2kOpf/VTRDkt8Ggi4UPpV1YXnqXLdKLJGH0jjwQERqsWbka4LF3KMCx1ZpXlRmVUj3sjkOHNP2eDcpv+k24ZwCblSlwcSUhfkzFYtVxMt0B2blEcQ33VdsrE5o7faDdv0e7ysTFd5CsnFslTSS5D0i3iYzWA+uDDQq7iZBiJ2GPIuZAMW8sgT4EluO2befOMfLc9hP9pdoEcj75xZ+bk5gm+pbGFaCxZnbWPvJ5b+3pnHmtJ0vGoCrUIV2V3d9bjuksZAmOeqrphNO5Fqk18G1i47hiTpYq+UPhknL9f4NMJYq5abBbWSl6f/0an5sEar5XjlOpkyg+VDUt8vO5DZ7fFWAp4zHtdskmGT6MO22PoyuLutKCIJq4UKoDKhPM5ueaWhBjxNsztbcV0spOYO2HfiHUnAYwoDq6IJH7u9BOQxqg5qxdXY38xfTYS9j7XGs/ZwTJ9AHzNmmDSz+iRwfbMZAlh9pMPgNtLqvSmmQH7jThjK7/GgGvYD8zJQbq8eUofbuXkByMHZUBkHyw1xugyGi1yVKI0DcRgYWNd29X29XHxktAlp4uA2tcVLY3V4fjoGfPnGn9BbnwLBeUrn1uEaWbVI5zMd4lA1Mh/Yq1cLVP820fnTqmk2e808zPvjDbCL7TKCTz7q1eKb1/bBFORleNX1LZ2YPjWDNk2JUoxURw628uBC9KPMI4vy56lfiNn10NZBAlhHnu0vJjcgHqnlT9XASM/uVouvi7Zd744Ddmc5wO+f3+/P7u7//IisnR+whOHL+DDGUuPFcgCQLaIGeL5Ff+n2cfnWStoBOwL4zT5bv5WYdC298K4XQ/kdZoDx3pyBN7q0/iehloDA7UCFQDHi0j/b32QF7NP9668u1PN4FFq1+4Yy1EKWKBEYH7EmvFbVhEdxMoDucc69nvxilOlqUO8OlVSKivmF36ivy0T6IhhSXCKGSHuq5zhGZGZOli+9xsoCCdnj4Ab8c4UUSjQxz1szk2RdoRHWzy0FdsNLUOtb4uJofGHAl961ZhFx0f9ailz501oDOK3AvcCoFCA5TJYtXCKhM7rdLiEshpbn8T1ac8NZPlWuVT9mBvf6Zwrle5fOhPQ2yyBzKweyYMEW2ce/bNgta7Hd/3/bdlcqK0j+zEQV42qlz37Ei7tQ5XU7BrkZZ5w+PBRp2U3FCdnmLOgBDsqFH0rSZmhfQNLWuod4VGNNfTK4X7fEijOdSl766LFJZKVGXPL92UznzFBYbZYiygiHp7OkNemvqp/Aq656F+MU7XZkw7gAUNVqw2XJm8s+hyIIGmst8rX4Z0cqApBvXtYis2n38q/knfhN+8Xf5IyV4XWQ+g66pDGTYgGyI+uKfNeLQ/Or/KUijCNLBsT73/hvxV3Nb7y7acgCarkDr/vWVLVgsVNVPPWstbgejfSFS+ZPFzfO/CCa3F6Bzccr1Hy7gkysMhVEKEa9iEBkukrjbxyxLyWs1KrpwQu1mrWlhzMozM9iH/C3+Cxmu1uI+6ozx3R9mKnb3T5vt5P2RJRSKnE0oo3vU+c168UIrVoG6zu5SoCdPA+XZWmAFXgpVFTxKc4Gb9GtQJSY7K5adpQwhDcfUGxa58Cs67RIlDQ35lggAUsGoGoQzN4i3bgbgQ0McGxALwffpxPL607XYlNIr0Cso/4sSrBHEAAv3RiMIK20r1LXDtBeYQB6s936ybr8E5frJcTUgcvGzL0T2WqL4mN2p6saYTct+HZIFlK5GpFGwBjzmRseWGdygkPuM2/KWDPvMeFU5ceYbbTPo/2SwZxGZyrCecmlpAOCp43coKAQyxNQtiEFQA9nhPwEGdhaY/rbVa6CVaPXRT3l92y5DYJQ/wGRsiHm8Y+0B9MC7TlC7yB3qc1ef6bXWINFkQHvKID//a9/T3xXyBe3wbFOIrG4JU5uTxEoBH+6ILMyBAul2kXXyf5QedxJA2dvbnCa10LFOMV91NdLpakOPwVl/i56HQ85WYBitOmkE+4xT4qcrASI6IWtOWzYucR848nYTHzH888FYRF769cRp5j0TELTYl/iy3Qoxm/O11wBmt11p0X1P/Os6Gu/iTwhwBQOEsmMq9uvgzx8Mo0m1O1LwBEei9QJEG2OoOqn9pFhbzztOvPJrDTraX9495rWVFAHNZHZlRI4QzUqWiWmU7HdnTAiF8+4JZ7lyGvatMtq1tZySsDTmuXn32+4bcnWyvpokVXZ5xG0BOtwXA+xXM3fP+8K78+7o3ddK+kHTMxJh59ba9DPhYr9EuvASDgCM4W/ETXZ4xrRxrmlIUjO6xRltt+PwLKzm7Q+2SWRp3QqgkKl9UtH8kBEV62qEhBb3KryyFYBtoItdpkB717VryI4BLN5nSxxsNk84kaqPdG1GM99khY4WURkVJsxnxAOTomMOyUfbn+NssrNgLWfdZZYnajStDFH6sLxvwz8ak6OJl7NvqX1E70momqxHVKUopevtqtAECrWa820SB/ctNN+R0ULvgiAAU1Aokab/VwZoiOwGOs9qvmdZAFtZ89Xct2z8c2b+MLgEw+WMzp/F1heWpSeJjwJKVQnc2XW3xzN8UhR+i3UxLv7iwcbO8pyszI3g6RFaTuTyd7HZhzRaHAVOsWKtTyhnNyckYx5uqv+Caed/dF292b+XfAv5NaompjzgzqZ1UFVJG0tb+o5ieoCi9865SU8mSpJTeLPbzI6NYGVSqbUI3FguIOwDKn2QRf4QaarctKKRkxD5wCgRNTYB8fabiVthokBxEo1brXzhns5ctB0cQB8XxJ+Y+ECWhnEMJuLUwY4P27YbyhiD8R8kV/b6j6ou7HqghW7fXZOYfTAV975a2GTQh8lO9w4quBXUOL/ft+///75n9/6+fv3z0bcsA50TazZtIbdWrXRWkBEbEwVCGw9qyDTnoc7unzp9PKpxgzTURQmshketkJrq1MFUq4vPPzl/fZnvRHOEtQAtmArVpWqiOE+/FVtlLnAaXqA1cet+kEXST5VsnRso6TQofjFgp10V8tazMMSKG32EKGgWbC6vNgodgQErHeSM5N7ct+y7GLb4EiSzMKJLMzrNZ7JNsaQfcw0tfhJ6HX0Evk4epB+OKD8iFOWGrwgarmu4IMc0ytSmAn50/YF3lhkCZOOsSjOSoNqo8XxKBUAdGFnd8kdm+dI4/JLuyGJTe+cDPJKM4doaalBFba2QxT+QWjLjQ6B5ylRBricmzXmkWg9l/VaiGdcjr3L3lw41ujA9hhIuGewNMso+WZ2raShof57XG4BwYMxWLFN8BK4w2AEJjfpCGjjAGtGw/y0yvCyc88epoSDAFKTfHR5KsvYcMDazbHQNHbYYtp4DRrX9HwYjD+IUzfM3i626uHNAe7++fHkf/3rf4XFnxifHe7NtCWQsFSh7QEmsyrCDQS6SNJ6I1A6A/qCdSjszbJO4wgeAeNiOFyuvxe5qsVPipSRo46+b+bkvko7phSdPhQ4RY2/mZLPjAFujPgWsv8xUlQEq05HY01E5g2COvnXnmTIjWWxdt7qONSdY2xwIM/3+M8xQFrwOCZ/JJAgjqtFCmO0zUwGETQ94fTgwvhQWGqVkeoireH1evV0N4Y7m3hpKrFQXdoXakK7+zxdrF9PMhNI7cBe5cYE+qgvW7w5F8gW+7FKNzHi01u0dqPT98MDH3qqecMhr/bhp3iLwr+ajuKujoL4Ora6NStDwSiVVu/7/p75eaWdn13EGgaX1UnHzNKoEP2dX6fPDI9gSIProowVh0tmF6hhGvfwYWkP/vfQxmZeSLn0BHfCGdYHBWXQLn0NKDfULLfB3bVgda/U3vr8q1I+P0VYA9ty45LgFJMoTvQJJBLCIKnNrNxwqXIjc8QhbrssuTDkXkGCzfZtkb61tX6n5hqvXoP4D42oKlyJr3haKRMYinJBslB3tpi+zC/7DTfigH84O274wYFIe0OsQi/VJvvVOlgztLsRkyJsn38Hyj+k2Par4IP2RiEH8Dg68tAd8V0+TqXJ4hebr/oJDCJUrXl81z5m6DL2Y03WXf5vPwBdxG78uAhkHVG+oR+iO530DAA5colnhcO8009B8WkJKO5fBQHtx2wgb9fomt0dlmwjYZc7SqNxwoX7KwtorewOMxOj1rTJRj6p4HKIcNOzU1Y5Vs2gqSFqPALqunWiWCBpzpanqJLPDWU4LagNwMQZ0v/J8LFZahWzXFYEn0Dj1/8wfJJlotPLF6NArKWf2KZFLxWxgxO5F44igCvdXLLsoxVmZDME7qTnS+vwMdEjmIvYveSFreW+K4DtukauBpjR4yWr6plux/hQc4EXxhIXli3jiOayHsZHI/YfZgcEdPXv3+///Mzff7//99/vz7usmgm2waUfho1nKYzmqRYIDQ6dWVeEuAHLJM8lH5xvWe5qWCl3SP6zd929+db8XxUStU/j943Vnj4AqPjMCYnYT7j0Zp/aeLtaJWhLraVqSmShoXrq19MlVsFKaUWC0mcXyHUoQWm8U09Ery3RPAKbzJIG9YhtoGya9ImtldQz8UJxCPAa24oX9OHAXlfKljPEVXY63GD/URNW8v7V1JmoU9NsXkwA6nhMs2YWik0Wvi582ZbqDNb4ooNOisaDFWHCpKHMlxKp9UzLzxjLnQGNIdkWTuHXwh2ewNyxsy5U4GDnq+c8Al8oEjfpTQjmLQ3opnPJ8FKsedI/5XqDkPl3mZNfZCQAkPHoANKeAz21C+SG1CbNexZQkW8Cs1mlqewnd1lgft6x0VTi+imWiEj9PSZges9donsjm1js7tU6zObV1LJIkkb4YJ9Zq3rybb8WwaB+ueVwIc7BK5XdkhySrgk82kIHqLuk/O//+l9p8X3jgEO56qPKSDcww+W6JPooAGbAwMiODS62lhQVA5frZ51E4Btn/cQMAMymMWcYq/oTFf2wQCXp8FpMJVk81hIrVlVdZUuguoMdCScR6ZjnB13F5WrLRxcf3pkKFKEakhhQgHVEGzgjhDDiFRHkjcx8VvJ/wCDlDHhxKgIf3HOXvq2xcZhm6g/D/2kb/XqioRRZ650xsOi0UoiQaFLLX2UqoQCV9yErTSroKPkUUVQVy4b1lqxYSeFvs8E+xjPLGmOwN6ocFM2yKG/+0C+2caJDM/31X8HOXIwgQV1Etd81yEfaHk2vltoxgya+M1q+q/2Z92d+NO+FLblFXhY1Gfti0xfFrGkKhLBqXikg6mEHBkyyYpBgk1+U9KQGgYP73I1mZiLlvGbXUiPtGT9yLVng2h7WTa0HUSNGTItNFaqehvjY2rUIsh480byKzUDBExZ0l2ubwgBp6VVdlsZYa8YiiNft44UXkhmHi+Lz2gN5U6wZDR3z4byJBfuc8SXZFRRHnRDELB+Ul8KqdqYau+1Amf6chG3rjMUgi1czOIVUj8yoGzNgYe8PCbWtCuV+wyAeP4tZkdnI8ikL3CKAu2x3eqlnIdLDf26wA1K6C2m71N1286DWkcuEjBviwRPdk/1MSUjDyubQgO1NE9HmLhbT4iSJ6Yn1zpU9sGwI4Ba5BYC1B6oQjZq0Bq68PFLFADYcII2RhfCuJIqGJK4hOgTTPYcVDea+hlMKXW942oiDoIxSIizKq8ApOxS8bAOQ1ykXZps1+mk84DeN2bJHUg9gB/a69NOSNxQBFZOO7B6LQdFyimVI6VpqmQUVfGvExxGpbY+CuZxmrOWylkTZ5ci5YZBCfhMFTK8YOq1L3x/tdfIgbZPrFtFKFEWao3AAtkxrK+t3Awf6f/lqVbZzVcW+EvVUgaxlJmgK+w7U/LfFT4JRfjhv1KMMe5ji2virkW0vr/n7t/7v3z//+39m53Z0MbCO60XsMtJT18tCHkev3mgR9gz//Kykr2Zj2WbJvfsIuBXs9IwJDjzwHIcWrAkcoSqDhGGXTgq3lNcskYkpqWTae0LK2RQyqJxuUdSSj1rov/pX1b/18nlMEhJfi8G8z9W2gUVpawolV8mBP5EThBfObmCGqRTQJ+VxZYrOcefGny862vsnuo+I2/xxADPrWCl+hDaChBhM/ysUU5KVeQRWnP0BRrggRHt7VpFXTciz/wOAVVqsDiLlAdbeP2cgfwqD3/2WKNW8YwVHppnzt9OWpEBR7B8CkZsIuvAeGI5Zj1q+Z1RVEe1G7SsnKsMOl3zzGmAPD2N8QxAslfhZIy2uZEr+4GI/S9rQmaxZrwvJSGv6U1byBb1hNfLOYFEmStxs2G2t1otiO62da9vU+4h6w6feD3r4Ul3Y0eI8AZYfYih1/nrWkfmSh1gVyGypoYyFbWKfAtxUgMCrOQtVtLfjB2XAsgovlOG//vUfiuORCXIlMVzniGQzfbXsxd7EZHqwyM54gieZXD12XZZmwFnfz/Sqml3uYiALBziLzvRhXbc4My5K/cB45h+pUa+dFERW7W5ZPuWcHkgtGR+0vNGd6V1B5jsd+m7KypMryS1r8Zafvet0ZVc1UkHWCnb+AD4vFlbTTkHU6jyAQtOBCMTD6xCcqpGJlKQSN9c4lwT4k6ONQlp+YFewvs7CjmkqinyuROvGzbxxZ1jtkrI9qk08/TTFbrAK0VtY9LhWizgPSDqjXg8vWfTA031nLUcRqNLc1UO1fv+4gLV1Aymx23sRbi4l+MhK0uzLd995a/ZdaUYSJtNXQ5cxASqVD4HYqZYJH+PFn0TB2L2PYMRa0SnymjUdzpnZSzeO8uo4blZGwShPoBTEB8pt+2FfrjW3TSvwEeLU5nRWRV6twa6uenrLNj8NWCMlklaqDA/umfVPkljW+Lt3IbJ1yIkIiCSpPEpktsogq1UZKXfuQPoBdC/0wCrIM4C3svA2eOVyQl21sVzPkQ7GD9MwHiOpH2VhXDrcq8TIzDURmi3WwC1fwJXyKDI9CyUXtWzfgrBEIPCPlVMlJiDXPxAIhXWITRtDYJCkZpSA3pHMOkQaHPDjMRiFVZudObkU9XjAYu1k6fCh7c9a4lM/GD92CQB43GPXfO5sKs4YJpHENrTHvZhj4p1Gy35Iy2r0z9DY3qRDl/vLemw1Dk9TkZpld9BYSEStHUahrTidk0gQNYXfTnj4RSw42spC27Fae5d9h8/dSZyTBnjOoQPBoKSThpRp5S9tuo+RvdJX7JJ2ToPJMPc5fdKCW9iY/xWFeghSI9aCnc9v5NfMs/dzWSez9uJEWezoc2v4GbPsQGa+A59RQnoMTxiaqouBfypF29BZmYAQ8noV4aQUa+T4p/laylrrDIpXoeGKjQya7shhhwtjbaPKxp+nKl18yo5jBiueZ6v9vfz77/f33/uz7ziBifOOiFlko+ou8FQFBkwl11qvOvHWYvNMYUeCTbk79XsMoJW6N/BY0OzodFOzs7BcOwPQcGmunzNOnAK6zU6oBTUgNjGFX5K9zKKkWm5t5CPUUw+J56n/4yk22Nvojp8qZYKXGZNCjGg8WeYLKvIWu4nkvrFCP14fUSgAwK2bknwvlrY79C+KS6DkBesmBq7eRERptcDKKruWzLvAjDIvdm4W2xnlYxRpp9EV0eAQWu9UwafHh2zyFCQuWQP+Cz5Ynht10bUkNXohbdJuoH9hY44CVGO3fKNEFTpVZrk9dJ24mYibxHeXEeiqRZGFYlv2E2YRBdc3KYNyZOzaZMgdBMvq7CMjHWXbxmPCh5uGJq50H6sLTnmkf45evFAODspKonS8wT5SjyNyuDqXJaQdCm1D8MNZU0HBW66cVLfdz74Q/yRrRTr7ZfNgcovF7pa19QDr6lgcQZhW058zo9XWDa4NpDOym3p24mf+X//5758+zD/lj66HGTfHSQUur6P+UbIedUxEaIev26g8UqZ9C6JonH93taM1Y/qOqt0nWP1/Y0YeHIeVR0SaDgNFJUwK/ZAggTi/l/vV+n9eY1wS/SN4U1oI73GUrPM19Y6CLHn/spY0cOVaHvJrsW9+nTStvl9Mlif0Xe1bGZPsce6zkOJ+k5V2OdiInoIi40Jthq3RoSZhY3GhIJfWawyOdP6gyo6E6dpgEfdOHqJBxKqR+8VHv9hsR8clCiqycW2lqZs1BSWIQ1YSNp0tvPYYhq/eFZ+qihWjMLtlIUs3ZPFAhEy2QRwNfl4tqPd99bPDnzFAvDsOQ6mnPCFiqbnX8BY7TZ0nIJWpCWDL/v+ZFv/8dSs2AZCr7dt0sTFa809zY7U+Hc1nNKiqiDioWSN4iL9qHra7uHKwHkwVGatBX3g9HfL0+at/ofgLXUB1i11L9N52ZeuAh6tFdY83/tgO8lJrxrFcCFubuicw+cgdtR/IGeWlm8/ZPjiHcif1Ssp4WlmiFkDFv9MfDYsIgiF8w+/EISo8+zxLF/9xIOV3b8G2yk8+NQXImrGyZw0K0TUsWSLa/KugE70bx6yT/2lUKpB8FG1xNlJv4vVFgSujh3eQzYOZVTBs+UUGHpJSBNXA8ZI8ukgrPOUJLIucp1gbOVsqBautbSuAr8J3AqHAavC14ogViOgkAWy7pqUPc30VItqB+0QtpKExkqA/0kZYWzHihWSZp6coXN9N8GVpCqXMfmzBndim1hmXnLrEA8XjTFS/GGTjCYi1pQ+oCCuur8Ftb1fx5g4Mk1SqsVKNqehwzyRKPfWW93lyMdXkePfauncAfrn1b7oOscYDgLSoDjEN8HUgtdG+UZlkYZ/PLfVSgvr0LWRnbRPz9sq3za6lJ08DsAaLVorM404MoFLfWZfVmXQzUJFN4hAUNDGzZpOuW6dYwLAaRp7qDcidLEwYMSngXQK7g593RvXu7CvFfG/mxQrrUP76DT/u93cmKAU+/yaDyukAaE434/MutxxAYk9isQbF7Y1mBMCpyjywUIYztPAUCSH1ch9wDjvUqrpvXYpZvD7XEEEY3hxwEcQvgA/J+utXPY2n6tdTCpNpZG3EtilssB42XuOc7tZq/2wRsEF6xG64mcyRF8ZaWOChTSyB0W0haelEI7TfVhlUzFfTqVzu4b5ZQrUXV9zSVaILGdSuU/Nl2lCSN9nPaQxOj6MtAt7+7h/5Zgw6UPnMoh/sAkHN3/f9IflqzpcXK7J18w+xJs0eXydP/LGhLBrNcwLwFzGgRaGqis1SV8ajJlUvSng9zy9luOIPuC68dvMpRzlbWfj1wca4pK6HG/A8Ng3LewUOwnLkisYZrpz9jZLoTrIPujlX5wC76ZGEBpfqIqnMnU1SuQlx9703iR8Li/KKX4Xqxu0ypglU4RHeWk/4I30QJiX4Gt8FELeJ62oq03q+EGslyusIFSVEpFol8j//9e/5lT5AG86y3GYy3HwBmZKn4T8XTb4yaR8kFULInKiG9m5ymbvHLnB3WDM7Z6viwSonsIBIbTeqbdr1HUmvFnIra4RdneRk5IzxGgE3jqYESG/rZvZtpOhLb+KobGDB38k97az19iB3bBqaZgbB6nUiZ+zZdQUtXAZSAoFRkRufAp55+AVoHKuFRMs6Dodp/e9fd1osX6gonNwdCXxOmuX7WTvbT2VMLDt/i61sSk44KSDFPEhO2YPrAaiG2A9gw4oiodebD/wMa7GBY3X8CLi1ZiYSDY10heSero5lWIllblO7VO/8aH7mB9wfa5d3NbOrsHj/XJR4aL+b/StgyRG6MifvAHewE3Nl7VRaQLRDwfkNIZc9eGMUZVeUrqD/xpYXKHTYdzOS2ji7wj2q6VagBvOtSotEFiKf3amqKtnQ/2k+/1btaQjS6kFR2jLtF7hbJb06V4ldTbHx53WYAyYgO/QjIOX1w74jCohnzEMXCrlxUUFWVdnnVwThoduVK7BejBnAXKFqaFOaD1OWmKKAEJ3qRdZldIm1QXydABIJydgKZK4g/gO5St9hI4tmUtuepRHCniBSamiqnCT93i3ayn366jPAqjiAbeFJHKCpeBqla5eZwFWbFEUFgjAVlBowct10Rq6TXR9p1+6vlTZ9sG0Mbg2qM3CfoebgRyKJQvUvamHHxArGJIWLcDKztDT/UR3AL6CPh6BjXrHNWkHA40QqH2MA2PUiEAT77D097k0ZsHZ31+LxxRJN++4K3wib5mfvagWLA0C4ouOnKLKAae/4OuAZdPGcBKEXKsiNwlWYEFGZCeDOsMs2Y+CwHib21GIfGvt6iBeA2hNYhc2Iub+4gAytVEX/5BUNykdPR8c28xLE3QNX2eFklvHiNwb85UI7yWY3g1t0BekCoU2cE2vVf6n0C4hKTZmK/uxgvFp5UL18rEPcircTCjFOeWi54Kx3DEzmYFfYKr2jW7y35PzIq6t39vffK2gCrNZiUs7ZEl67XJtOKzu3CKjKtm7nYcvTXFhW5RrJwNIkFlQ6RtmbIH1wPPiK7trbCypsQ2h4WRmqTvMaWybXgIEGo9RfWz8//fz1Vz3EU3yqHuMuElq7FZyaxG4mXj9KQ5kZdkgIQmd8mFEQwLOgrDKET+zrAix4ghkNf6fZ49ccahaWZNllPdXuuqemjEtQ8S83xgx/c0fN5SLj5B4oAki+Ina8gZLowfhjG1UdI2fR5+CyggrQiyFG+/PuvOvJRX8vz8RTp9oslOpVtqwaFb6QFVC9Uj77+BgwYZf6aZDNxzIvacg/+m64Ea0qHVCTWv2g5bAnob7FD2oq7VVoKaAMmiQqm55yl2utKC+h+8OHKJFFQakuGZgAV1hmYwCE8TyXgBtq98fDZkhEcyTERWKXEUctbscjx00eP6T9sJEUHW4Bu3qdGHSyTLMrqXsnIixC/6h6DPJYsOKP6FF1EvzP//x3XjHswtKq5jwQckZP54DYR2HT1ReBjUDEbL3PUA/TmxgodnDYNPBjJ3Lt7u7LIoVXoNV8a29cyg54huoMmFtfkSbFWVOm3O7VHQkQ5fJ3EBnmgV65emfsQLMKtu+ZN6NxakCt2fp2Ti4r+JAhwlmxOmfjqsxLj5SbesBJzGnCDyWIGMJQhM2itI7+hvrR6uG2FGU9/qygNyDpOUcfdTJj9eb/4+wC16dMi0bF64FdXNhAzC/JwEv7srTIcNBtNx6y6yOzPQibNnYrlgaOofrznVaormiicDkSPRGYgjLhPC5bsJif2ff3eo2lJC1XrwaGGkYQR/s9g4jecI02dFW84SiPpZ9+PYHue/u9GByDF6OryncgrTZE/HxiGi5rzuL6/elq3GjrBLK8K+m9kdnYyujC2hQ/Fw+bLNYvshr11EOgivWNnfgp1Bf9CM8iynNAubSOv0kANsnKH6rD6YyvcgtZ+5g22c1AAa9L7k4Idu97fSgt6TAFlFAFxW/hrLFMOQFZGomgNr4t9qY0Ct1/6qyUmWbCnC+UH5eXnoNVPCAGHu+og8ySlqD5gAnDATo7AKip5bkMlu+KVr3um12D9hVuNq+Fp/Ydf/y1M5dGYU6ryl9V4xsYTNEh5xsmcGgOX2D+M2CO/jz/RAoER3d9LwkLPAhUD3VH+2R8/C6WU4VhgbrJMf+RW2JmYhC0YsB/5lYH+Da3eY6MRooZNGPWut2hSDs/sNDbV8b1XMG6A6IMbkQSCi0Xw+wpvR0TJt3dYZjHiXZs2I3xYzg5gJ2FgAz6BTEzzhhThfSJ311xN0REk2PyQqDG7dTXmqHrlFdh/IsRw2KLoUYbYfNUXjdrjbudWSqrSOvaGOPd5KStXQK3gBabzrhIedBUOJGDw6e7y6iB5FM0sv7MPuVJtSm7fJrYsmmELbAMcYKn9bEMJ33ISNzFcug6PLVszb67mrfe2XfetfjzJTiSOG5TnHSFsbiQaeZcXaaDM664vdkhIFGezfFtF3wYQw4wUEV6QVffN2aAILgrm5O6EBSB4w7c5Jp1Wavi5aLJ4erppxp/8WHh1y/2g878AOHl2pE3Of26oKyzOztmThSztkpfKHTs6eGW10C5epO8zcN4Cv6YzFA3mO+aFF5bRfHVesOr4iAgA80RLNz/l4EnGPp0I5sIlVxvsI8ZxsitoLDcVpnJAuPimvvEleYdLX5mf2YJ7E/UrolV31v1TWyQTm1gplt5A8m4kgwXEImbknqa1Q5WKZl9eXxtBCo1EL/CViEhcOWxR9yU0RA/zOvZjY07psokjL0944whm59eRQ93aJUkoJSLbjfiCCNkwiXRCu5CLeS/1kkAWlEkbWUymEpXS8skIelWDX8z6BukBrWZs/ECLJpwuVSSD+Waz+IucYCsapEL5rXMhIZ/aOdRuIBWW+/3CWf+87/+XQT3tk14iet33Yhi3P1T1YQtAQmvXzV/Y0eCyof40xz8Y2Lbk9F6V/te6bhfCmJuayd6H1MKiJKWRmUdGXC+jvwWrN0BOOSOV4EHSLSuVAZavkqWH2QYbx4dmZZkAKshjdrvHsPD3WWffnMPtLuX46/iASwGfFoyrqR5wfbwMR9mqZU1u2z4Dvv8OSEzsKUJVOZOJmuQvU5stosuV1ci+G6kzJGWUqtuDLrkGQqBXFR/3Q/vnHU1yoYLqMqAia1O7obqUuHG39Lds+8H8AhLb+1NLCzjFVhZz+dXO6OqmZ8dzWD2oOWdN46lSjENj9LB7xrYTjmV3DNEozKF7XdhCCHKnIxyiP5YvVAhO8v1IZVIT+zmcSQzCcHu4BleZAy6kMk+xnGMFYqqWOLQvtqPY7Ka1VVVcSxpsB97gYLVy3m6avKAld7nOtvkFRvrGVtdhwiD2quYL/gV5A8ejZRnEaz9asCJuMR33meUsPnejR34F7Qs/UW+pOOka/ZcW3RkHX+kRdC1ovYaqcq2UBRoWboyS3S8JHYCCHgqOUpE0MYvyy3PYt5Rk2cDKvB25kYRmDlqzsQtZXbTE4X6FEehpsPGK/rdlOZbTJCCtSm3UyHMkmGk+hOgXc3YCTulRDJi1CQrPTz1TPSpcvF/n2ZXW/UIcF3R4J9wrKXF/oAHC6s0Ljbr2qDdXT6Pkew72T1SYTJ4WtS+UvKbEncLNdgQRkUJcRgTLfqxl/OkCkdcjXQemQSE3hlT26sfgeTYficGGSmuClQ8O+9UGqjJAMh8FbV0hBRFabdYG68id+3fwBEPZCnUu9vAZoaEddPPZuHNFjFg/jI3/HBWzw1cIfImIQAecJPLEs+UFCRvOHZpDm6cLnKwnJN8CrJk44WXtRT8/W+cQ4nuWVpsUGIX1VvjGh/FETybUapNNcwiyEdtftfCpkzgyVU3/iRQ28cdAo5mYXctYn/18/tHf//MQZepPNwZtXUigpBzmHbdncbHD/7xhUp+MNMDj4iPYTXwoi4SijpbldN5Y6WqcuOSLIzQJz6yS/sE7I09+utRiFd4Vz0EWFXzPF1Udwvg7PP8og9boSMVBu2qEiu4BYqzZHtvwKc0tDuLuzsruLm3Q2GJctX3tt+QYSOYXvb/RTTOhBYTDxkBvlL+F+6qxoNUojIjb0ANhfFs+uTjKcujCO7sRRYlskN4a3rp/dDe0MHdH83siCvsiCle1jQISBR298/UsXNiIoC9Dss7XgAcBZ7OwK4WzdgxeUSRuOKnkJ4XEdLmUWUeFXkCm0bWPmCG1V15yW3Mt/E6kVy+KgqVwhQOwWovmpNn1x/gjciASoCczfc5cFdirqujTlxveYzECp8j62UeIe7RfnSZy8mbJwiL3qLPbtsc2BY8Kpu9tQqVmBmHILdXbjXmHxX3ypR1c8l+Ae7aSjYsIVn8z//8d3DjVySHvMBTnqGKNw/hmbILm19ACQ67o7JO+KJ6iqpe4jFWv8LsYQ94F+C2eV2Ec/Brd7Px0Xz400/qqvY/EP/GkpEQrLgbVgs3KZLYktmExUejHphP6qPbbw7IP5l2CgalPYceD+qnYMwgWDiLc09JowTbW6f9Mbgj/NFzCZfYo2X3IzYdZTiqPyOR5O/yNKn1h2IDm6wFRHi6+By0eN+Ll9i9PxjcbMpDkdX30IsQ10r4B+X5fAhVbO/ErYzbJZVZv2mFMhGyRnfo/Z7SHhMQq5ZTW8qmH1h7SXE1877OduPs/kZ//7nfCkgTJe2K1SlkkYYKwG3aBaEzQVNYS17QkbapSWvkLZxWFS5UprY30o4v77llNKKcYsXohVBVq6XnD5yr6SKwl2+jzS012c0q1hNEm+Ljxc6uf996exkxooxo1f1JQZoUL4mQrvfNe1r8p03x4j20ya0OnBctgRRiahtzOrv5url2NIdjT5Eop+kBChFVwHA0xeInValAI74cfwKvYSGirBVJ/2BtBYO2mGjd2czvBcl204OnymNdrGLH5C3hu5hVYzEuiudAWh+zBlMisuol3UJkOiSCZ9u8z9Dq+E2X2cvdQEs6rV8HFzDAvByPYFjke6YHsCtuQFiX4/ZO5cXQVJI5nRL18FH0YxLV6CjcecuP/0REH9T0DC5h3c36jMYP4sYqqjgEJjxNIGtXr7yGjHfcqZNL0tuUkQa5xLHKc1zqCxAXRbw6uXf4boHxPdZuQ5JClhQS84rynCwQyhjpJB3Rot7Vn/uniMLOVshp+bxGjBxZTrZ/aHdCu1WdYiTFqlW8QXfzxZW2kcAumnYK9/o7vZ6+LSgVD8haA86Aj76HGSKfWqGwo44mx5/PEcOJ5MtADuaJcq4hjKbiboFTlgQzWmpAyLLr3CIBvVhqWEVW0+NBDCSC8fWWjAkRI8u1ViXuE4RIADV4qXn37/fdV0NpKHk/iSINsVQj+36vWm/XtgUs7C1uyT6pDywA1wMP4D+yfbvQ/OBOO7EaaM0A37UgbqcBrOLWlSPCME+mKIOAQ5dpSQYwZZnlRgNb1Y1fLD54wGLTK8Si93LFxtKtWomeAaIEPxpPX5VvOpw2oSlVdFMSi3XyE3ih4MXMJUSVZku7YczAT7gxORQBQAFkGNgiFKFaK7bb02X9FXCNg7HrIXbeZWFReoXGzBLcxay0M5Oo4Bzplq+LdygXVfQG+7Q7PLZTYWQH8EZrgLYodSNFgnqqXcmDlfXwcVMMXpsw51VMCKZtbMTD4Dz43SxWQATEVDHJ2EcnyhgocH62vaYU1DFnR1PGVML1wSSSjAkdTqyePyTK5Tct5DfT47HQPiWJG+w2L+12ZS9zIvqYTV12ZVI8FRUcViJ31Ozgw99H9MpGr06B6xSFebsAqgLnZnMLkp1i/NFTZxMAH9eHGN6bcI8TL4z18l/wvF793h2StGTgSQv3liDG9IJ2HBMXD2dJjVarwkauUWXxN9evLaUUrAnFlcfhA891i1/QxteAfcVocEh7x4mp6wzcGO1LZLHF2veLFODWsTFRurIVzA4Ql6rlDuz2Q8oawaggGZRa33NaWIjbxblQfiBAkUiTm18Q0501ZnFNbp641ZORjAbWkD9xFMkbEzfLoooAWpp/oFkAxAy55mKeyNBTjrtUW6pn1Ye/ylY3RmrsTYSABKrGQ8BANgobaTDkcEs1MQHi3XC7gV5PAi4g/ewKo4UtX7GvD1HWo7v5c4+T9popAZmbsdxPuO7KcYNCe9xq0osrOrIWx6wdjxzzcYJns/ZjfRGCCB4JFRDMmGzGnBiEZ/ZEz3axSY97Nru6ULSzRrfHHLuDjlASvJ5xBS4tlTBD6dZWCz7D8XhTYBW7flcu+12fDNpWxYAgzYsl4xNcy+jHbpMQq7EykXxytsofKQX6UVC2JsGNcb8ZkAUbnxX0gg8F1iLT4W6Z98wh88oy0rrf58Mqw00BQ5AvsFWPwTY6KF7n75vrfiRzwO5Xrr5wlUygGgO4AzhRKWUPt/tmucB7pZxvoVIypH2mJEPm4xYg/ZSRYIpVGC+CPnsYNAibIWbCq7EKOLKHPXRQwdpvGwgIchffUo100hcmOVpmlVcIa308o5vcEscKVJIDVtBF7HtNX+GdNWYMeXzaRfzXUJtyeK+CshWncyCcbFXkrFLBu/AKCF/nsl2ujKu+B87LDrwdHX5ZoX954wiHh8/OycUwlaWuhhv2WNVXF8e854f2DGRAEV07GPKhvPDStzxeK55ig/fuuE8ZsORC3zGEVRgjT0YmV9jiQwAcsMX3PEXwwnX3QtRofa00ssaKEjDQL2LXsc3SyvEpsa5Nu+ddA2H1shCQ2YBi9gxU28SV/Q6rdpTtKhwRXniYS7Fh6rGKNXGVLYbbXIsxi6cpYKkfraj58ZIzLtneCO6WFfREgvCt0JxGb2fjpHtKph2xtXfLGKnPrujePr1DkYDHrt2Xz0fqp60zGMwYSQE3GgCGvq/N++Fh7PJyrP3h1hYaWz96f/WzM/XDt9Hv7sO/Hkn1C2XMyOfC/jZ2c5uyqiaqLl0ZP5f41xDvmNhZIGugIFi24xihlZuBjECtCzAvhi8o4ItgYZlLCkdkUzl+Ej8iR4SM7DBGDcxGOyxmX1uZ/XDD4b1YcWKrh3mFz6/ftUSX9SVcgGO8Dd52FBbMrUEKMAoER2hDj1CzQTzl8/IHtOkSgtDY3cuDjdBNGuXu0oWfv/ReU2IQZwIfIojpUDvnBqasdHB/YrjUph4m8YmIPdy/uMfJo93bF2UeT+O7IOx1HCYXkIJGh89VBhJ5eDTkhdvh3xiQiH+2d5n1tFAZB3mvztcFJEOMhktYZDzxKDCBlfotIAqXsL+yK8ErECFW26uEkIOHKP7nf/0vC/pddR59o1nAbXCEssLtUDDgF0mwizMb4CIB7NO2gNYKlvOL7+n6fwiHTou1dD2Mz1Cyif7ZmdWh7JSFQkq6kCIf5MGq9ty2fpo3KZy2CiRqQyO+2P4kPz4YOf7iydd5GFkkZL4djlixlwsehNRLVJ5LEl7SG+IxhUZcW+iX48fuPbcIaJ6+LG6ZX0vkC3Tlj+A24X5S6myvett1chuwgLKm17e5AF5j2R7g93oELJq9IIpPAVtVVLHkXWLB0Is5g6d69Wz0K8tSE5NakcasR818o6tNk7relwjU7myPXloeYA/Lmliuu2f3QWhmznEV00UTGsDNMXwTccejpn2wGW5utxsuxjsy+LpPbTjqzRz9P8S5PskdvpnAFBrq1BahK+xpWs0Sqp37qroYU6xv/lsHgmbIiCmmvEggPEL2IievVSKM8c20LzxPlRIX9oDgnjUrymZZLrmuk/JPuYLtgwUZiGwBrNFf+amGapGXykUHjNgw4GMC/bNoqazndXzMgiexbK2Es5OBs9heQA0EmVldeNTJSkgg5TZLxdoMl6vkZfZ/zkY6p1WkWlhkT6tBBDsWIyOrCLFKHF7sH2J3AjddJDTBaqXsYPNVpJAApz9MCCKBq8z+1WGXvJi512QxFvRB2IIJOj2UGP2N/xZgphSboapLicb5gwH5LFpobhA+A4xOFJkH0K5/5ye0D6J30w9Fbt0x1RXSyIs3Bq1BpjMT6w2AKWQJ9aiXy1k3Bh8n7h4Ts8jlSTdhTVHtxdAlOenlWdn3WKmnD9dArirCS1+biZxvv4m4P2l5RqKh7NWyYlanYsFiK3Ju6vQXllbExkK7fl8yomcYwngJ/yCNWrXArj1xEimk6Q6qkVmVKtc1xcXqVVW2C/ueHR5KwCqYvnbdL5u1RbyC4k4R6zmggG467IeMNG8ke9nkUriNPJefCFHGG7He8bz4SPO+Gx0YMCdzG0wBs0QzUBcjtEQRpK3M3DNYDmT8dyOUdc1kdMlH3gWlzzDuhJiyVfpgM9A0GeEpFws99iAAKz/kVQr82EsVqhKxPxkwWHwAks+v53nwq6tYv5604BFUhQD3vQ20P5i0Lob5eaWfPh+QP5s0aMm6703YJvrOYTHU+vjZgcENRHZMaXRevw6Xy0F2puSyg4/JwioQ+2q0r1aTzb3owurVYjEys7mTGSBYdY7WOQDEaixQMn35k0cIM2dGE9ZFhGqIboLd0hTx/GqHOpA1x5lQBZHPN3YUTPGfqFUaxFxoO70BGBkiQATILFFncpMH4eHo/gzroAC5u+m6U5Z/SVH5RVZeh27NKAEd8JjOwIOrtCVBYAVAMZvQG7TBp58bKaUkEypZ0vBdEiXtODHuoj4DVJa0VS2DqfGy8SPKt1erJzgxYKqTVo0n30k8XWZAnVwqEuJ//de/42xa3t0H3MPKAbhNv8oe2f8JrNSgFmOHPhDw/OmRdTm2QAqrT/fmOOPug7bB/jA8+ogHa2NqEvEq3+CdKQndHdR1YVE3IKcL31jiNTgbppe3NZEUWdjZMKRRpZiwtG9XTsjyKb1p7ySPweMWRGQx0b1PgCxb1deFF1honRyDQi34y1CSa2WmsivvN9cacU3pW+mGmJEHdy1wQMSR3r6V1Zi1FryF13cr7ElyIauPhqogm+bVpKl6io4UqDY8aBo5f99P27WBJwJsrrmVoLUjsbTjyk7y+sryxfIsh1sCKUpPM9eahjYuPCIDn9joxttiJuj/4togP9KwXeJY/7g7J0cjjmlLMWdTKRAesviuz1UvLrTzVx0KYKcT/yG6+YfnmPxZLZcCbexDsn/xQemJZi9BQvUQJloBqu097/0fEXJj1d7gEoRZQt90HRn7dWhR0DRpa2bUXPUZL66A6DF4zJuHzopIKVmygTPFpB+E4XCPPtiq3W+oqndjr8MZhhtMDVHJ4S6RuPyMsb66xAP3EFX8NFZc4iCajGKxaHy4UWh+yEsTN+0c1MOvNgLCiCIp6dA1PzIOTN2c86Qb80wtJXumfpdwxIrjzTa4tgUzcRcZQwrnUJVQBSRG0Uu1C6xQyikj3djMdaYrlEtw6wtYI31K005fRaTRSeKNp8YHQd53dI3B8FlmF2xiQXOoxpxXqYpsg/PRqBaxhGN1FITigpy3ZpFl7aRb2jQ/GLjr9qzRChlWMmYmAH9+kz4O5A+oOwylnU7HZj4MesK8OmW4I+tzLq2kWeM1XLhwmsI8j91y/2v3XfKnxcogAVPlhOQyMzLBCNJqeHoVzO5YuY4I/oO1FQOCvOKGQVy8VlUehm+XJ/IqJbHBh6bWU1NfK3hZPFgZvKR7wmgg11zSU23HTyVKMTW9lxrRswPdaYdmiLKC6Sgbi7L8Ynd37Y6A3cVqV9jVrt7Frm2IpdeMzQQOd3fuXc7huRv8EagtceLT/6e6I4+Nw+FmyfWSL2izNr3oELXU57+IaAA9hFbC65cI1szkzVhi28hOxnJXqWbpQRAk1C0mU1Wx6t8elti/qijZtBINTvl21sOEdJhr3mvR0utpS83a6Spz4BXGW/EwVi6uxqXErKOKH3ktR2NPLWm9pp4egJZ3Cy9e17FXhnZZ5GzOLFfjHYI7a8Yr2nGdK6WtJLxgUKqHZewGfndFbohKZpOLAsldTDveDSTBIVj12DnmaQhVHckMVao93xpft+GW62echacRD2VhOsvsGOQtitYfpJaKJU6yt4W5PNzQpE9fB/l+9FH5bf35v57w9EsSoJU3SV77STIS74RKEXFWhpG4755mN94siiuSs+vxCXyYRDqpRD9kIjaIup/BWOEZCfomezqpy3h7On3fXQ/D1+KnUFpVe2lYRgIcPEqA98ZCbjX4f/7X/+KiuyRIu+V1yrJpnwGR+TpAmyDOTUIElSBzae0PD3lfqk+Ye8lwO+Lih3YJOizK/b9yfHjokeHFNkyHLNW5Ksj5rYCN4siV//e/KzJSZ5O0aU4MJQ4znhNdFg33cv38+Y1kS6QDllmbCKIg0e7sFL3Z/sCKw5NxOyQOuSGSnhGGniwv67aq4VDZKFt1QJv7UEYPiZUpM2Wgp1aeBbOJgb6wqlvHsjdcIYMSGbKu/H1EriOwaQe94i3mfTwrUg9c3Dzp/v+IeM+BAOuY5G9tAMQmrwbg9Eq0pq24leJnJXJ2gVlWjCJTHVk2CzXwdbtuku8QuNM3cBeASykx1jqeGwknAi65NoTAwlzPnYaTdB/iksPeJkUO1hLQMSYLx3ERAJtSN1F6qol6bCXwsLtsNLdd54srbjNH/n4HWFkktPl2UZkEQKtEOch1XP4yd8JQrk+ssUCCUdLeMcRSPSe3rZP6JAbVbTt3xx+agyn+XShxy3syTWGatfU9CWsaCXoq/SDpV5ke3bE+SRXDgqv8UPj0Puujqlt4VygAz/VCCYj9+ltmX8FODISR2ZjQwtcDuCmkTUzSMvIQiNzQ9dBIieosyHCLLXCX3dwExgBVVmnEmTjj8MEgfF76cOiY3vyhhXe32lAZdjdmhFsw2WolH9v0v0tKiXwK46JQOB3pDbB6ECf8UGKoefPK3/hslM11DxexuPRTXa3tPkyed4ZCtPin8tqDHKweoAwNkyrj8vrAs8g67kaJKJDlotbbnDrhyK0wBnZWIW+IxdDu12Zn5OeTuZYzO/UNjn27U7I2XmAr0NcOSP9Yef660jLR/wiw9wrYXvTqSJHn4ZKCSS0m1cdtuXDWitEdituOPgEveBFpyGdkhp4umGj8+x/2QN4nn4K0gksnh+owQqfSgjDUo5I/gCszXwkHZ0bvViE8JeIB2KyBfsUVKBGxPwHsOXkIXgi3A5nynF1k88M7L6R58aZRrnGJGjpLNzwriqjgOAaYeCMSk0jslq9mDUTq/OhMFLjI8xvK6OjedB9ujAK7myiTuK7llhN+HZG3Fvyv2FnkZWCroEE91AtGWItFNcrUCSPZfYjHewToIQsbu5lxPvRRoduCevuh1p8xP1zsMOhgaFiy2bCJXSvHuUJplNhl3tu3Ejsjkj903/Qjh1x5OFnLraBvJQ5n3xeotVVLSp7ibc4loKqC196GnUNwv9WftRMJ2mSNJ54YcpiEmA06xerqzmNyhOHGQLGIn3OM6tnp6AkDjBOLb2Ow6+82OhXlr+P2VwLs2uuIaHlp1Tg0oPAp+11+IQQm+Ged8No/7cPjLnYd6uWsWVAq8FSm3pZSDPkl/xV32MCHUnA/l7noNPfkHQyiuNc1BOIz48fILCCPjCQUxMqhwmN+4DJTnIvCm+XApUs4abTq9h1JYjPK8OK//uv/NTF2NxWObG0z1DSGvw262Estr0fYBP+QJItqLLoyrrEQrXniNXtQpBVaVns9pY/WplS3meg/t79VVPgZxs1bMdXT5JRquuo7hQywE8GLtVdH5EgE1wS3VmcBv1hvT0g/tsgQYqKB8fWbWo2lXhm8oWXQ+f1rYMKmN3tw+f3+lKouvPM+XILfYK3zjEkqcyAHXLvp3sCCX4h3CDkg7s+Yhx8zP8Ywf7+Y51Ddi+2AgoYU9+YK8Kt/AUJtVfnWhmYE7buVDSeGyMy6Dn5kOq9mB95xUR/Yqp2qsmk3mnzHwmE/8rHkyuj0zhodE9j2mjvNEWoDKrlIYLqiMP4Eogf3+yaiKrqaL4y5lmq21hbUyk3GjVCaSfNCbnmycv+MqRspVqm2WNXoIordaHUmfVn8i1y8zuauPiv0QfK1O1spUqvlatX2t7Ubjy93/jtlzOLYzhV53+0wDIGf76uOO7t85KXULLhsy1cyJPn13sbDefBEwoRLauY5iPfxDWYSsA8CGCOej45LX5w1mcWuTl3nQt0LKywagjf+CKxqn16w6hsud+rxgh3vKQGx2iogbU8QlgCglg1YGZE4W7X4BJABYTyJ4yPetcrQ5rF/srXx212ZGrChNWuEgkrWHC5YTRiNLMsylMfruMRTmZh4AkHVttX5Lij94Fdk6cOQXO+Cnlckh5EfpHWtE/06ahdoa/EM0vlnODxYVDoeUPD7egwrRhCnJR+DJLXw0jrmqFUELmmiPsDLmTknQLc+7etgeDOMFlWJrMPwZYwiWGhNvRx/XwV1uoVLyzGP/eetAenzzK5aD8LSlS9uWpYClov1lhdWpmZkmZzn3L1YoVJ0fnK2Nb2KA9SNaa1LYkD1eHAypgt7a6KyR0fK2/AXNIjjFjK9tE9tsYaeD3CRYAzbA1HZ5VO7cLlhe3SzEI4QPh9eIXDj0Uu1+sU0WtGeCdATbAzApkjxILX7EhtWFtenxAcMFDj7aswlLI0sCf+j37V8tyjNEHgPVrYEWYGzTJzvR0L/IeOuSwDJaHm/U/bBGgSxM0rnZqxsziFU8QU9HF0dTAQwdKdBkVwNTdhuVduTEnu5lXWVrdpmTn7zPC8/klVekvngKVaxWN2NHQ/An5WicKyCUfmvmgGwWk3V05nsGGYYbHZnVL2SfWYDjQrjQy4UNLOKfs9UcK0lycs1iL02GVjpRsm1e/MQ6+Ohp+iJcH8owh6yDhS1lcVMblIr9QuXwnbVxkFirSEjCO9b4HKf/tWphPkw2TR7Qi6nACfyRq5dwbWcCzb/0CnEdf5aDx8IxT/WgE7Uan5iBlAAUVU1i0bxBu4bTNN1GjHKjeGlC+uEffcCDfwpDe6qCLFiswbcFSPvIjpkwah28uAm7rkcVIQjLmbSmCD8J1AbZ/RgOtc3SqqLRvjMVNLcgMI+3zI110AxEyGgaqMH1mGAj2prsfz//J//r8DTVqQROAxCeSzGumFU21Wwv0lYj8CJQVFx+h0Y3tlyeWzoaoMrBkGhEM8GLCrTmhb1/GP2k/HgR6CWs+/7sEeXGdWMH4Q875SKeoHjeXPa55PyWS5E6wj5Aadup41m+8+t1Qf+ifJnD1MZlrG8X0OHg5Je1uZ2A7r0WapTkziaKd4qpr4ygXliIscwxM/n6mIoAjE35g7/ZsVst+hqQdkBrT81J6I57TZ17//KyAvMK1T/KhqI7ipGcBw6rlZm3lCl11UQJXouQjhhKCc4kndLNTgg6CHJlda/Wem6SWLWzgct74aPQEvW9wNRUd3z8W2002Lmi9Q3rGH9CRSxZbJEIAEnnZOYWaClnYC7Sr1877+9pgSykvQtNoxkF341q6pBFvvpx0JjHnAto/su7pDjwhxFH4G1gx51Fv2mfK3jc+3szc4+zhbTGqF25/J1CxZqGM4w8PQZ812lL9EyYrvMBJ4kTj2GP8BLSqgdt6pzZUDnFPkyrUsdhSlM9mNVxS2rQbIy7liFTYtJuZ3Vpk8xrA6ovOskKJEvJAFkRUEjAzNx6zLmz/4WJACeFN218TJ3s7l7A4oAmccBCzsvi0i1Qmq9mZLnsFmmHy3e9D8SdTvMHizU2/K9KNeI2acADvAUNOUmLYfKwfRUbNl9DNNRkjLiy+vgFQlXXhCkiKKus3IMbus/N1nZJg263iuwiMga2cZCbXxwgeLsuOeU8d4K5DSJnkEzwlg4ImYNjge6tYwgO+CK//w3QpIEifK6YRwwIXwncbWX73iuHXRw8jhCgQ4ICo6x+IJwZtxZebSHvSPdntG/G0XSKdIE1nJrj2O1s3TSG78Bu39w4Ofr4ajpyJBq9XBeENSAbbtPwWjzGr9wvvesTzAhyeuxM7yWJOy7DS3RuYXHV+PznPeXSffuHlgZAU3xmhE9yjNFujslf/1vXpJq2WTUzRN0sIlEi0iw0kyVNjfPOwWG77wL7WJXawQv3rAPgJp30R5GEVIxG6RBesu9/26OOvpb3LlN3N9IEfdWHmB2IUumtftNE/hlqJYbo2OSMTw2yuGXUNeU01/biQWTlWWyJqSS+D25vaz69ZBEdXexsYtu4pfjcrgKVBsHSJeCAwNU7NXSWKwxEHfTO+shDbxucqRZDKQZCeaxfnYozloGNVraTnL1/6fqb7ct2XLbQBQgI8s9hqW+Vsn9/u/pEyTuD4Cx0uq2qnRO5t5rRczJDwAEJSyVifarsTIOAjcN8EpEhR0wletVRSzrXJtH3Cgi1EzKO5NUuS/Z1Z9MaiwjRqmnWXxIMZZhjC3T+Sz6W6T1j/4x4hgEjHFNp6WHbAzsiq6VbTS8l4TK+ztAYr0UIQE6l9zwRAUTKjDboBg8k/FySv3aJiKDFqVts69IILz85L9F2BclPn/aZF/QNrJZqWO5pXk+n6Wb89JsXRXnKbhwFccD4XO+xa/29W+m4y8BYL2zFHehDeucWX1FfuA4GHkl//2//5dHrQRwJyZnNHKjZKVkR0d4C9HQ7sxchSohyQH9tir5RfDbWFVpp421JY7S9/Wqk/tJ6zeHkKusQnk1E093wJ/Ruwx3MZYGCvYU/VEYk3soG2rb/Kr5vw9TbijDs/e9CtjYI2AvVxsxPWvQ0/9dE2d8q87JIt85nLMlJGQf+OGM9bn6VBXejXeuhzczGinQ/xVr3NHVYurucDUp3HA4Wrua8Oyp/1ESbIRR+uFpTrctovF0Eyq7lzB6q2SOxBXZttFDQLNr03OXI4sFltM3NYpqzn6X2xpZLfK76zJZCvM6EXLetHl/t0COTuHE/SqASxHZy3dBNU/Cfy64qFGD8rg6kOVF0DeM5rd/lXQIPRCcVTtCbj1/msvuJp+nWOxmo/N+fJ6DcN+8MvS6kA3Q4KjC6A4KQglTBmTyNb5iu66NFUoNul1SZ5hNFAKqkpAzkEuvwsbU4zrOb8diEuxxvn63VYdZBipcqP34IduFeFYCZTlE8WAIN9h0OSWsd+00LERIMoFeobDlqhlAZZIiNoUQB2P/kjW4H5JN1Q8Y23NC5uEoeAWIF6CVLaXEBTbBHfsuH0tRQyewviEwne7B2ryKjsJP37QoMr5sDIqSSi2ul8dZYmNsyihNQAGwWp7pY24ro0ExdayIR3y4By8vLgAurXFlEhxoHBkFFOaVSRLQdTbL+6zi4ePk4X+bqIVdsMY/3JDnkOBnID2I4Ot7pUofb7mWsE1zYj5OPOaWhOFTv/xDFw9JP/7YvRVDujuXrukJS9VR1vNgz1zc4xHywxJLq6pgF1/wCj2Mb8434M+XDFN7IQN1mVw0G5DZ0WwEOUc+MYPA9GxRlKz8+nktbN2V6FHAenTKX0AQb/3dKfMOk/JtMddvaW8JaiyAmQ8PuJwrR6sK43axwxXmJ/wUImd2wKsIbdwvEIC3k9iRB4XPNwsMWpeoCYC2t3z9IfEi4OWMz8QimoUlSq+G3H2xel+NY+garfHGR1NlMLJIxntNFC0neWrnN0VzXYnS4BhcOxw2gljJv3603JusLOg91rxUe/LixC+4EQieYNFJSr3T6mmX7AsV+pQH6wytWgqqp4ro2O6oxWo1ilVsNpZlwjM2ey7HYK9NW16qSYouMIjFZGWej/FquNIO3p2dmtFSWI12pwijHJmKWlcRs+NcjyImcwWwdRl+Bar9MKDCAywKI/0m/pSMxO48tSsUbGLk1gmmuCB7WXTziJUFWzLpT4qLF/mZOB9/HIpPnRTfCH1GwvxuMkKZcSU3wnZIXQ3b7oPeyoW+YOAO6JwE60L8Ip/XJarhAN5iQv093yjnr7AJYQWiKnJFo796I6a3+vLKp/worvBAmznHglWiOnjBtIG1oog0DIf68xBoWP/lE6r0ke5gEKuLEe3tvoXfBtbzZvSVck3gUOgk+O///f8yd9A7Fj8zR4Cq4Wv9z5lVrivWvYbNrfEHWXyQtpeUUJOSwTRcnVYyUFpwGTu0fJhNBKygNh7tyGBmTttXz6E8rFWbzOirGnGuM3HUh840F91ltyWvwrpSMXE1fL2CuZlgrA+DoEHmr3Rw5+yhtBEaq6gRiHL16PdsjCN1HNXK1qRvhuGKWV+emEy4OuO9l9yZVO5l0O8E2yk9YcbAAnYAjHnz2UKkuym0JJbDkAL39HLr+Ve1Ss92GIdrDNcWChzQYn0D/d6/YWxbQTv2VkGgqrCu04DrFq7FXH3yCDhRYnYP4+N+ely6RpAHXO147IdWKGFkec+ducgQkqj9nU+YoqNatmWvRZh1DeRc0uv+7yvnfYlWLLSe6mLvU11d3Wziz9Oqh/JlcKZHy0iXCpJV2Af38tRGSjyKosnWjbhGx7cQUPyW/Pmg290JCJu6Uir2TbncPbw6wdoU441KxUTzbsluJkhyq75DhjvH6ROKPNnjBceb5YVgCQQyaMvvYrHaZVH+iX9SdOEQqhrSmMDwArD2o4k6kAM8y60ujwZA5zcYQfi19DQUZiGf9H88hJv3D0REZvS26NjSJ8Lb2toHP1MfOeV5KaPwEBPhucWnrGfLadT1he2FPetutdQRWLKxksFIEazGhLoa3HuV27N3rNCpss4hzIHBYFK1lZm087VYqRvcfvU+7L2eLifMAk95Qf16GsnZQfB/Ke0F5Suq+Y0JW5BP8uUviBSuhQXJMWZTNkgo7KChLZ5HkHYdem+Ixo5ka7PfDemV5t4v9ZvXJoCBHsGXhj+U/Cb2N20wRQpbU2xfqjT2EtFbqY5c8g22IxP1w8pKlVycRTX92wPXu3riCtUISfvXxBi43qDQUQI1MQTEQHM6efGHP5nJI7zWzA9/r1MwS6boC6LmCurn31jeh+aQgVAtEo/0SpVpwNMQiXpLnBGefk5htiW6DPAzpefcfIQNhxoXGPwjkFsCwdcxysA/AQ7e3t2ZV+KOXpOYHHcf3qyc/d2AkSGrtuqCBUhwPDRp6Ms0jEnNjSDHeAUEaOClSpK8GNWQLeqJmmbVT5J1Qlf66HR/3rCdRpHPbkYZrF7e7LjLkkPvEQdBW24WSqUewrV/VQ+Brqp6WHi6mmUsNoWB3bpz1KjYYdC/TWOF4A5gl85d/fO+NvLZAYBZ9wdGZ3thcIuXfGVfR9bqt1wsPXf0Mh++HzCK4csqGoVCs+wIQ17rFkg8o05Xv1kuUPxXWWSTuUCDHbvtOaNcOzO2Rr9BzC/AfYgYYMCnDmXAMkOgToiERzzikedTcQ8zx+pag2ubdSq+r4VcwRJp//9nLip87X0czu1twlRnBNMwyNWM+syCN2B7spBLOzf+AfIr4jRnVKRgAjYjmdGfg5R4g8N/0aTXEDjGJRi5Xcs8IHHqkTMccI0qe0Z1tuXeeO6///t/eoDCoJrbrTjd+zPmZ+zNmMnzlREXfWhwOkQUE6ERYe/hzAiQJsNJN9wQwEyR/+Wmp5hVmyurg73zR5VTNppGuSO0YOQGNAOFHo6myP3vywQTl/vdbNsAGH3nqLrs2qx8wbREysKzKr+elvSJEQ5OLWlMU9qgMtSdcdlF3bIMCajTpWyGzHlvx51RfzOOxvRCSvHazmuqYVJtu8zCx7tFWIzQbd5NoeLpfIHVIp8ySHRtuwhuAEB1fwuD28CHm6Kl28DSvsmv56jjT0Jgm7AbMk/pIztB/Cj29frsrNVWKGm3EiRHavZJmoPhEMcPGWC/ZOk8oXNquT3ZV8249LZLaM4hJrx/SDsJ5h8C+6g93ry5dLV8u7qrqlSsfz1PdVWruzqaolpfdL8aMzdFT/rXNd46RX3QmAC1n1qwUlATqXHOvawOw7EydrBVphC8ObWW6oPLGKY8QQMesZpvYDrtTRGskdqzv3BFJJpybxoDgIkSV5GL0K8G8UWZjr+mwMIvx3M5kbu0OLUlAK8WPiWWXXYR73JrTzx1PF9sWAX5M4SWs+DJVVkmQWAN4CywGtzDXVRZy75hsQEPJR/S44dkM5Mt65gNin761bNPEawUIDnRmNYV6a5bFbWcFReFI0cztuPQbbz2JYAssA7abM0qlIFHUU/WQ3u2PV1fRgmcytfyHh9y+1662yKaa1jQj9rcZEyKxxPJYatuHsI/QkMyyJAbgkPOwfu/na0MiX6rfQ6mNl9MeCKqZ2OEv8kWrrPIcPupwiquSCJWVV45nwB7wHBQHQ+frFLSCQdG5Zo4UH63rt5SW8CozLwhMR4uKQ8kvOULqcsuESdbx/8VInKdQALkaNr66GFl+9DPZwKOzAGXLtMRZH/+Zib2A4OqsUKHLM94zQFMMBbHxbb4uV0CDNrK9bPnqS6C1WV+dYXqD2lxBh443vq2efqOeMWHC8ysBxNX4CsQsq0EnMDMiO0OPVj+7urFKwk77xwn6j5Ih+17YcSyC1lWkcNztJVbfhcAKS0NRJP17hb4j7w5szK5sGc1NJvinqLFnP7EgKQuTnZpMFM8AXhhDXSYsFSEaYQNHptr8Q0GuzlFgA9I2kmx6lmoVd3/AviniuhyZAASU5PsZ3LMhuBiFsLuzC7+ETSYndmVOAPhXREDL/JyKSCDKdZnDFHaU5CYN9S5NzjYxfzXbV15Dz132V7WSVTmBRHplqs2edwSQip4okR181/Mgz3hnVlUEcqeb1tMWdmHg+phpVPENbpyK1FK4bEDHP7lvOBoOpibRLSjsW9+XBU2etqF4U9vGQZRrFcZ9DSRRMZmIbC5MjGuG2nC6asZz7FMr6VoSf0ndyWSm2Iw1gxxUcO+7vIAiGrRDk6HpBivISMP9dIlW1p6ZLvC9p/rrbHdTpaAvHDq8G4e+iYuhrAoEf9E81al5b//938EwfiyMiTFD0Hw9hfjZgb1NoijyA67JmGAP99MKr6baxgrztOGpi3n+gLr7wjg9zHCgscN4SDYa1hDUIWpSH11hS0P+j84KE8i9b+uo7PYjB2Mxetd3H25XLofbbrKe0w3goUTqqR8c/ssSZcIZdzHPR5KGFbXSB1On8OcL3tPIMOOPFhrk6p/tq8Af9xzztvvkbnxGt80fzb/0BSv7izDdCodYX60S5YVrBquoqZQYFUN6OVVp7y9NtQZNMIwUQZbfpMeuclLNPiPpxJsU+DKLT3LJdU7MKfPcc9pjSIyhgLbNmTELiWbvuHa3ETVjRfwyBdQE6qFiGlpmoWwD/eUc+Vt4xrew22xUVwVu1hVT+Mpov78q/jnkZ4m6b5ydEDGIAWyS4tq6FxmswHO53/jbpAv5eNTa3OgU/Py6t2UZwwaqNgTpcM6Q9lf27qfTVVkP/4dfh84dVKaNjBrWXzCfBLb5HVOOoLXOIZMGIOwb1f/Qm7JBRvZ+YHTf+BHZ50cNSywG3uIgyFQqhsfhotPDwJqLZWNNQ/JqjXIZizGMNPIZHK2cP0WiiHFW9nrpivl50BEgw4QPIoaQHZx+OIy+0UwrN6gB5JYZ1GVNtK4SJWApyK69Bhq0CMjNY0Fm+e+lyUp4C7WPtxnNbSHrPyVPeFWUOvBz8UeY1ZXmZNn/LDCN8IFeBvaSfx/nZlh9GDGcBEo0xxm7dx0wp65tDTJudEq7JNf1zWidnPwAcl+Lghna+eajlfCHN1aNN7icQPd80S+n1/HOuIsPu3aQXiJCM3vZoOw+MV3TamxNekJfWpR2NXjQQrDgLnPKfnhHuYXDGkpc6FUQxJbA9S5daRZ4eUVazvzV63gKaXk2l2wiTcY7uVHRAVTEWxLHtAWIiNRMEdncHjYoWTZIsNt5lE6nHddeV2W6QpDNVqC/RpuaG85HSplFspG8r94aTBL75UzoUno3lntjnZeafh6NdwF/ivy/Xh5uOkWWnsoU7GXwi18ZjBDF88rvUA2/n6I6bH4O2sOx0nAqaL4ONvJSpzUPdcuRa7sgtid9RxExDx+B3c0xOKIIN1LNR2myKdA5/TqB6iHRf55SKiqqgzQNgkPKRQkWymhNHrf/WeB3X9mNU6wmN1ZaPcVjJ4JLinjmwmTiCfQUNSotV4Y64IIRttcQMRNAc5tBdS2nhwYxtlBQiRsuBOWk0MVqvFUtUf7QcNz741oI2PtKsarCWDUE8rZkf4Otqmuoo7ORlknjrBZXIEdqhcbUWrg/AwHFmo4fUfGHXeCuecBiZ1BPQhv/8lamB6jTp8D8BcH8j/7K/+O8ghNXwchGqmaUit5Tq/VQcBoq8/9RWIxpsL3FWBa1+3Lt3JY7YL44EP96mUSSyv2wqbmM/GkeLswySiUCQvx3//9n4gGKlHSf9t/w5Ux5RLZV0Bkc2ZZPg3ploy0+cmkwKp7ntQcy4qPxvwrax4AXDcW4NCIW3aPGCjY6/evHjNlHL9f5Oh65Yb3+7gJhaW3uwYc/GKD/xhgDV5nkDAcca3+AV27Xo2PA9xZWFUroC0shrSJqEXm2SiBGyKlGQeAN0fLax7L+zsOYk895ZmQLB5iXMEyT9yKiDl1gKdnDrBwY6aZtcFXYDZmcMyGCLrCMhyZO2nZpuMgtioBrakq1wLe0uf9I9NqPY46zkY2gUXAL1dvtG+QN8aAFVkegTUmc6nUaeo2LTGN9LEkt0vWeGqyj62PaV1qebLJ4iLEU6p4jhH+kvCZAIivDc23pd5VowitPmsifN1giftUl0d+W83nXw/Z5zUs8yow3eqjaSbO7LtF6BfzAEFLYsy+5PUdSX1379TOBQEParFNV5A4ViG4SKT5bKvY644IidEWyYqOFQM95Eql3vsltKT7oFwCMAASPcl5MQHWmOUGpbjQerFw3FgygmcwgbGutA+Ln4fcJ/MzSopN1cZDZI/kChYl8p8de6C41qHymx6P5pXlrPhmEABtPYXUvhc3EgM8WS8zpAHmgQAkey/Iblywg6E9PrenlL31xAe3dMoPpGGskmthA0VCE68LbUeuldiWBNZhHfmAopVtU6xMzbKU/Wc6Ls/hg5LtH47q9v3HGn4zD4PcHghoR9alesya21RglLYypgKh7YVyW16bbBPNbnruNdwSjiFFWlYDvRSwHQgtlzTOPw/7xRhI8Kt5IVqTpWha/M+zRIDfvDpveMu+VFAqUADXVJTOpNFMtqVjI4h84m/vsD5+dfrUJX4DYsSnuAHtdLEgoKJb40AofvhRkftn2fd/DaksgIzmhM2mUUiE3PSZoDCs2jc/+zv9fnm7yy4bOTWut8iaqfguqW6ESPD5+wYLgXKFSQDtkWA1+GbNKW36TeGNjtxhLe5ADtJrX2OteTmARJNrONDoUEQg1oa/Q+LdncFiZ9LLnPYBKyCj4go5THFlbULyCCBjP26ZUqpLi1e7roYF4BVbgp0GAVsRlFOQH9PCN4m2qsS3uMxtNB1F3G+6uZTbZjJFhAPecp/INNzZ8mGWKjCRjC4vmwDQJRPGfFieGl5vViwQmBFqIWnn5Wrfkd6d1RDa3dUuJb0a7UCljUoHA1VpRxYzahky4Wjm+DJfV88ED5n6r7xoe8mlni02ybONZ+7j0YQOWMUiurviiHpIWeYZnEBqrUDs4wOYKc1NwhfSX/iY65q4OtQYx/vgyHQeUG5Q3HUML9dBJkbyt3lcOoRM4Cq2IjdGmD21rd5ddKb8CZA7aYTy3WhbFJ/KDxaMYVhATUzWlrmWVUoPAy6ZLHF/qMiXxdtj7DbaId4V5IdjpsPDNcoVR9DUfJSMzxt2yzRk0sEAfdRiBm3I5X/9+z99IIKsLwITID2bS7ikm4F3q6c7hCM3AXgM35KTb4A/v+kK/1+tajAeoVwRcOS+Irz4Y02GwkaM7eF2z9nhKohA/XvJ0H+pO7RubLDrmqoBOJGCRy0HS4ByVIrwrgNvUnaXFFTMNZx2s6ABLg/vyMk/xSP0VzBmduKnbT2pgdHQK78JA1UphBEi3Um/E4MYoIXLNMwMNwRgL0CFo0m3y5f/EE3W2DleGwVAekav1hIEdmMdhk/c21atBa3sohuwAm+Jgp8Z3TRrsFhvrwv0YIlLLd/ZetziAJ8jQnQ3uPkdtj22mZlOpRYmfthqSmHLSAGUDb6OiPBoHyDiFhwSX1+kHw/uDnWwx4fnFjNAUa3kIvEwuKBt1fWw61/6V3dVPf0I9ktVLV+6Ld4lHivKwvtvkPJfIfa9/uv51nsh0qF8/xjDrSV+I/BPsa5WhVMoD/iHMTswV0raPoY0voWVkTNGnwEojrhpCXmoiYsgE+76WhOY+TYJvERUntCntgM+6Neg13fFj8Nz1Fi8CpvExUv9vmeQZdQcI0HxHwdQ//6sl3uo1+6P/ISJtbLJXu2lkb8cJQD0HlSPyf1UFq5WZZy6kGGtuWLUi9rKU0E0lhzwNy3KdrV1XEHZcUwHzZdtS0DLM6dmyGbeAx1ha2nkIUyekt0JQgE2YucQKRsDDIRp8gU6oA3LXa1N4wwKV2VNuD8y9Fk23BJELKI82xvIidpEvs8JL8josIbOlES2RxshPh5cZwQKQBysInK0m9KVGF8jnnQtz/fs+ueArHh3h5+LeCvoB5xBkz75tTsR3sXpNB9sgedM22Fgpw57gnar2tzJ+Qoa5UGK8Qrg3KLc3ai+rmyLlHebpZJMr+RfcNALPnAvb+E6MchLVLLwnsJybBvY0emnJvN1Q2oEt8XD5bcfdm+fusfUGDSCTXpivAzIG7tKTe7u2iuaNEbrxrsi7WuxJvEihAF8cPituGMmE9rUc0aTdrScGUHYXQmpL9cTqpKMYq4duWu5fIsF85rOABZgV8bNgQotEU8ccTmGKm6B4P9FmFks70DgkPBTH/sNe9DT3JVRTg/5K3XlegA2zwglt5GNsoNRxXBBXTWcR081iBpugX88xkrVU6SKT6xwHu5g3xGw/1j1UyPvSpWEkXZnFppNkbbVNaJ1YlmksrK+D2PTVrfyuyS0Dc+H3WK1gkhUmSIImVdl64VOreKa/USqzLPDA5Ztf+wQ0aUZVGaJdMpnWsb4cShAbMJ84N0KBFy/Lv/uwoneiNl9bgg/1xLHMotLddTrBh/1l5b1wolwxein0lS4QOR3RZ55YiLIcuWGqTGaZQ5X4HoqCdJTZZv8wuPkWJjZNvWfn6YTL8z3dH0fXUuCFkoC5iQ3ETmIvCHavBh/DEA4ty/k4UifuYz7pDSvtEcdDCdBT7DNsK6XJBf6C4u2/BZ2fkeayc0XTQnnAhgd1NDfJCU2T+txtvyZBDbkIOcUAWg539YEpzWtw9w848n4CpY4bOkTjwsT6y0PDZcJmVjwbGaGA61iUw/c7Bt1nbMQrxmPQVQ2R4i0UBP0PNvoltQ66/hWLaTx2MIdOxNvH9x88nAQ4V7kefTevcVMYEW6pnQLAcXKY7DQuZDzoB7XrxJXkxi03htggyqtQZVcwzSSFUxXQeWMaN7qA58ouPUhPFDsVYbiEgs8wqWzivTdrTr4AsjOkRCTVrm7SV3hwTe96+Cum1ImAMSfAAEAAElEQVQlyNpS9JQ6QeFG1J8KB1HXRYFvWfz1qIEL8/TNQR1/7Fdjc6nx/K4NusJb2FlODjIiUMbBCtaoN6tYD5+q7LYAg/7dfJAGLgZgT5uIXo3HBbmlSmMdZqQuSz6ScC2fk3Il066ghhEdE+PpA9x3Yw03DUSV7QjsnyXbe9ggcDMJZTCSoEDPOeXpp2oikE4szFwF83YexmLskuK3cxZiCVDFGJhAPWYt3Ez55NmuxHYfu6gqPd9KHQPSK+Z9FGGWB9XK54EV6HrRAtmDrbta8YDN9qgwwMdJkgunnA/ivZ6JZVucSDm9OcfQHo6IgDWQUNEmfAy0YU9B+UEbYahuw7hx+4EntMOE76dOB6iVhhpDujsem2xj17QsmO3JvxaAqtbdl07vV0Dbm8+tH1VbKMXtpCRlGlUnKneKMJ002A4GmIYjcefc8rZddCI+y4uRZbjRbSP6Tn8ua5LsEZpEYU9CMWhgii7nAx4urICVlXll5eGtxKodwA7jm3YzXooW7RW8MxXosgD5kj8NSpnzmYmVqx2x8nWQ6oNjeFIutsrqTv8Rl1lXUfIEikpQIhDxip35cWxmSn/H2fyvAaEK5aTrFpMqxv41gKvyLS9HibfrNQ1JbRsEVb1e6yltumX/D7VS6TgcLg2QpCiC4sjo+txV5+ddV2WY3eLRIKzVmNraghpQlu1h2SwNpnzZ7VdWrAb5NLWr7fLAEx7a+8gON/dpKNk8K/orOhah2igfcPCFunrfbPouejeWK/A915QbHeLH7W3Io2CRBOyeifSS69Lf3YgHh9pFmZuD2lrOEk/kND2Q9dezKKiId4bNwczaM0xL7o4JCayqqvCPiKrC1M67efSF5cDen9rRuzEY29l9xScPYLb4XD4XvN7jm2vKto908AnMrokOuEvhTScLkpeMtaZSmFu13oKqYkZbyaoiPbFn0snH0xPPWtGC/wzHCVY6UrMu1gy2ZYoBVGxo5LNY4GTnBdyywPswD4yPWhCAdrcOR7ZaxY/4RK80ZinwztN+GS4FeZyB6gL4SQPS3mxOBAxm4JPYwOBFeHUXex+GIfGpml0uq33rszY+ZdWeZGQh2wqk9DV1uwZdPY6263Fj/D53BZX7qUdOXMCJ+Zyu6iWdz7xWsSRQ/Pd//89P2aswv/hs0NyvZTrGejjc0Qmtcr6weEN8ycUWv0uq7KVY1vf8kzF99fwxryX0vyOYlwRD5y/xSEJZ0ZE10bIHTlxUeNAMdWORtKMEfiRsbny+rC6nMznGIHA+3q4KrVR3nnICMeMR2TGhVIk0hkSUCfEjk10H1A3kBRwlTxA0ZXQSwbgNHP6l1vZ/cclCcjIklyrVnW4+oJ+lf2ndcgO6iHavUMl1gYF0Wq+wdTRvn3RZuMuPeBXZkfvQ5R1vJWaQ6ehVwi6lKkbgNXw/2GXwX1whXRZYbx4rp085k+R5rzWjOVnKayB7s28WHvOq2EE6UVo46h7/o/zyUf2LkrQn6IJAcAWLE4L2+AGinkdVT5PPnz/9oGiqNxXVBgPf5PyUd0h2N5iR4GB1l4HctUo7/XoUi/k/tQ0AtSQ0Fu7OmYrcwNERN/pNQJRz1FnRWKKAn9Lt6mQacjRmGEmEMVR3tVeTALx5qOzzOSD/E1cZyXItJ9gA1s+3eD7tH1ZryPcz71qpLi4FkjENekoclvakd+6t9zdTyxu3d1FWF0MHFOsBB6LTBoUNNGHvUbevkYnEeytU1YUBqzOLkKKFSf/sl/yXgMiA7bod8YltdqwpqSyjgXxbEZs71Gt/EZJDMzMeY3geX5hIpatqR/4v+FlHObx7U3L6HchqD8aa4v7nFuu4cUw5+uEs8D4KWVFfx9TJ04zLig2YD6jEdoLATZNAN81tFAAeXQZHuhVwZ9eY0x+gRAB2c7qMtjtqyNhEoBKK3zDTYRy5ap6CrVW4NnwH2EdOZEf3DY42NOJcUrhQyyAeNVJpyU5aDA9U5sWOzHbMl1hYgv9QdGT1AXJfZvb4o7K+AjQbTg4nKkBiMOZNxvi6SR605l4IIdjNICg+7iF60iBDG/uOSCYRgmdUT/EqGFORKazlYwK4Ti4yBuNsrmykjpW46yHE7wIig/4uQ7L02wxEpOPECI+z4nz6rtHWSqUZ2XJlPQcfXXfqm3UCYsY47LYBZKhjNeNPJK2i6/G6SmcOp/C6VvTkGvqQaXy29Z3iLMDLQW+gZm+IDaIkD1gQCz5otEsayqGGanP5mXTyvFWwHxZRyQiPA0HpXYM/M1y8O9kXIGxWIHwGDwJYVYb2YNmHQmfVt71pYwF0OSwZmB5rqKaTne9xoXRpoP5S8OPonaoITv8U+skwOUwoIwrtmxJOh5zy4tp4pbRMa+dXYJMfT+SCsZzOpzW1fOPKufX8kMkAPfBdKTd1kTqPET6rXiYI8l9Y6ZVKOLcXnAiAF1RtxMgt2VXOtS9yGF2ie2DRtxSXWnEpaK3uVu5ZwFIO3GOFyUa+Y94RsNJZgRsmJMLSILMPLsiuzvYvpREFF/OAz667+mk2pUF1eFIAfOLX55yB4RcFfyHaBVuahPoS+NG9gem8i/n8y0yKX5tThI+O8Z5UCfmuacBc9beH3niizxy3+S1kgWvWpgZU3XbBcLu44VlXus6AuSKW2mpcA+CzULjvS8+tR35kCoPJ8q45LQVYdKSPBbqrQkwEHGtDoLv0TVOSbggS0M0d5wHCKEZ0xulNjvVx2JAQit43gveMnQjtXnVLMMz+GUFGjri1oulSE7v8aW7Lz6Wg+tIWDhi5+UDlpjh4peXwmm4cBeDf5xnGy8EbYN1mCz6rBQIncs2FY0UsELsMXpECMlxW+Ub6xdqmAxvy0d9J6YPCS30rbgKGJlg43x9EjMP6u7nZfRHo1IatdNvWZOEBx05vCd4e0BAMRHL8DdJbkRgSQJuRSmtu//4jVv3oDJpY1/8dFat6iifxAZ7drUIFt99FI34ejgdqWTNhWKFv6Ugxf1rnMBRoPDhFrpfJS5zviF9Bkh2V9bx+xLxrY47ia12zvCUP/qPRPIfMNXFEIcs5uBx6yEPlUU4rguR1QtWpdvgNcQdIQR9a4gxIBp69IpN3dMaS/3PGAYNlRPFI4MKVg6hfrfMZKRRynEtmrgyGuQZGhfXglzqiTYX8Bw0sSY49+BjeQBIbmZ2UbqTsfrG0ewyTgReOilpWn8EMpcURtolYtzNwQzedHobGkFfgALWFCASMVzq2Mv0xsYvbFq3UG+kiN2gBe7WxhG56VYkriGOmJDfqC3r1ZDKP/H0t4vnIby3VaNa8w/YfebTjtXtAVYeSUYxDYLp93VhVOiV+wJ+Vfazltl9UJdf77pey4DEka9Bll8pzhfWevBkrNYCKBlrXBqYFB8TWom7EO8ia02WgS/IXCI64T+Ph/2VM3+/M50zDq+Bd24wNC3dtvbSnrNxJW2uAxoqcGPtFru4buBVTYzOTLof2m4Pe0KSWA3jwm7J3RuR+R8t9eAMsXvTrRhZGCuYQ/0LyS1jKZpNm97u1y9IO0SjWDp/Sie0Pj9DprLJWShgu8dB2KXYuQaqxWzbsz3TdYxMrrzoz8DzY2DiC9Dzfd4C8FI1XaoYTUV3tpYzjODku1VaNuldjcNi6rgEovLbYIcinvULJBuL/Zwew1h/jmzsjvQuMe5nkty+2fmS7fBMQHyiLTk+hZXCO36B//v79w78Cq8okcQZhtGM5swP8inW7WMTK/yMM80yUszRcYsSAP/YdgYX9X1fXhd7rZcpleAFOqJjL0UW6Ff8MuYIcW0zkHi4LPIyc5eU81ge4w/MGrsC81/4d2OTuAbPHksipP1yAm5oiMJBlbQylkJoefydEgxkVr/gDX34YM2hE2oUyGhI6s3yH4n+mNSYb1aLt9/uy9OHzzLRcnC/cUvj6R9FcXLCF6wgyR1xLPc7/fg82dkw/IwE1F5VSZhpO2grOr4/7iF3ddXwOaBk3BWqzmcTACapLO1iehbjS/2hcVCN2Bgqr6w+HTu5heZWQa/Tg8gVhq7wR1G5Y4TU8+mMXkJS73mb018nzGb1NPo42AK6xhrOf4eBPKm5yNzWbvfRsFdZehGtUO0H37E5gDM9ec2MYtgxSL61rTWO7OBJN9Dm2MRa8TsRZHnH7CvxvdM6JxwrhrJmyGtUGb2c2lNZnzlxLIo+RQv1eTQOQRl4G5GyACpeH9IibO3afIKeSwXBiXrFc7RQ7z0uHjkGsOsqwIgWYrQfR2QWzXz2Mykdpuffm3YSjR4xim93g7vqsmHuEsDWrvPPryc3aYPZ90D+cgl+wLFSrWF79eGfXRbqzp2tyi/1AyYuTv6ZmwfZYThQTJit9jSB6+cy3j9uAvRQ3sAXKy3N4DZxtPIkKeZAKG75Cs25e94qQKkjGM0PqxtouxFEaUI/+fBBO6vocAvhBGgCtbJdkmkJue7uWwOqgBw4RRr6jscoZXtNaMPgYws90kWDQg4zaWGOzHG+SumXrqZPbmMOkzMooC5ufaxzGwRQ3PqY0Yul1/RGDgzvcuHFyq+/+XNhAMmmUJ9NfIewYGBso7rzgY0ZJKE1cU2YIMi4qKOw7qJ5YgWWkouQJS2FnyIBAoBfPVgsYIO1iJqUhWjEIqQG1H5nBejfO1oUvYOcb7tn/QtLP3QSGIB11lc25/ppGN9KE3yksQLuL234MgFqtNzoAYR0CM7gjzAC3/7yy5Y9FjedcrzWlll2lvfnqyliXdRyBdUA0aPfUYgtDBQoqfmhGLARkDrG/KkCudvR9paLVt65nzF2M1eHp16lrDx380tzrhgMB+0+dlSYOTg7Cl3fsVvi8P0lUvI54RWiEWiTUxGubOjr73JTFcQlcj/lnVzJQ2vqml2lvyMSJQENYZloxHIeyJA05V8k/Wd/lpO7XQ8mwCXKZAGSGdUDWNjMhp8PLyzft1VQ3Z71i26GuAKEf02bo6OoF7T9p2v1wI4sun02Aa1xCSKV3OuwJ1qCS7B9ZhF5Es5lbbnJnKgZ1N6pkXoyd8YYdPnUIrgucvJyKuQtYvavOFOfxPu7+91pFCl6LQLDema+RoGciMugri6kKV4f4uPlhE6nmbkIJgLVUuYlIuLDSg3lzMUiSarCdM+ZIwdQxX9XpSMQohJZkVUFUBWx4kvMsH3aJvt+F1rFUCp75FWBGN/idXosQiQ53oPHvxcn49w5nG2+IziMkn5+bexFBmGijAeIlD2K7gThXciHvIGwcuvwsLGxgQIGbnSmkGhKljUOuqytpmrFpcLntPOUNsN7gQm6h3P4pTaQrURyG6mx1TyTgyzkMpX33+0yRqrQQ8vij7z1oDysC1v9SGqiqpCPwpFR0Brq4qgL/13/9J+M7hzh3mAjYbf9tI5F3HmH58jdNxcMrjpVTSLZoBdb7DPcq9SuzMyRa5eVZSNGWlKJz06Eks6ReGVRV0np0Iye4RLXvYRGnGHEVvVQZuQ/gZzDa97cFnXGUv3uEurExWt25uZ45F05fvbnhfmuCOabN9o1w/ZlKEOkXyMxOfmrSQsx+rKfT9fg/51v/aHvpKR1LMBADaD+A7m40gsX4WrIslE3H49qTUQRjq7Cv54ZQ+auOjnt4wbW3atQComz07reHK5Tyd5GO8nriNKMXjNwuu2WtKE4CEOQY3LGDe2/ekfOYY0oD4NgpYwK6sGWjoRR5oR60h/CCsP/SdQ51j8sAjqnM8i3BH5BNFkn94Z/FPIWuP89TLoTJpu6s7tWNgM16edR9dCnu2QCfZUSukHYi5ZfIsuSWCMpE8MYdcY/Il9n8PgNC3H+YAZMl5PuJeJT/Z3Dcjo1NZKyzkNnExAl+IOB3C2BqOP8ede/3dyiLawF2JsrAYgWwwiv11nB0a1VTv2KVEu/kYiJsAZqqLSS6vRHlp4cttUsss6RKhQv3/SGC/LJPM6FGbFddNRddwHdWZdYnpmJ6fyekrFaUteoa8tn/K6Cllw0ew41XdQByI4hcd+JNjceUHFJYdkmKkGKTPq0hwPQH3BBY/OFTT6Y6PeZEfj8H3+s/3KSgGdJop3t6N0oSytM1SAdMgMjchqtmJNLmRABv25zWtxa6zLfGyPxu0ldbVWLP1terDvJY71zRyEBO+P4onGbIo6pwO5ngOBmY/TIHW4sSbWbkggVH8Iwh5CMlPYZH1E66pm1UphsQ2/uIjVLJeYAp58GMB6z2kUzYg02jToZixy2kUXn3nOBH67ngzxCcN1JUImItt3hrkt3fVHHObCFCFmPcNMnkt0hml+zdKAeSgyCOScVVZ0iXg498zyZHISBOugPbEesLAgfpfefNjRUStooT1DR+u/FCveKAJu0sXfvpnzaaum2dH9BKxhZW0mjWQ+YrQp+kzeJOUxeR62vJ97XVhfCG+SLBiqqKMt21gBUMTsnW+QECLPxw5ghVY4dafsqqpNZrwt1PeDCo0s0YF69MdxxdBUNZZUC2CWt0StJuBn53sUCGGqzXVw2+ZWTek+NX4hLyol8lC03EmL6R2BRFriI9nsIF+TlJ4L4mSKE7izXKrIxibYJddBF6HgL8V3e8P31pApisd2KlVsdfqgGmFws5grtE6R5DZ7pqi/2CMosaUMvWcHeTvpTpGKsPguWZQyeAn0aHcfuyIYH/RaYEY1eChE1LivMQXMnalorEsci7XS1N1jALJprachjdrQ9GORXFMxJpLdnbVSKlrUiYnbiQR4jWMWKXPpef7c/BMTH8TFBI1YmTxOAuKSG64nWCzXASK6nazQG/Vo5RhVqs4922QRxJuE+qqEfEA8rTWhgmkDZ+Fv59XBWADtiAtg0SbihYC8fwZJsYPRnj1okx5gu8vtQLENk/UWCh6JxXYqsh1GY4Q6w2rm0VaJoeoBgBzqbwcNGLcrfjkCBCqmtRHAxZZDwCUt6qquyDEy78R2BekURy3Ax/XTLTF+I3H1ZhM3XWdDbK20usyKYYNg8fzKl26Cosyr28C9wx2G7/NpKZ57RqKbsjwDN5gOK/lg9uqDr6EPOaG5ZEGzRGEdgf6kYmqlEosTxOxWtP8lTplT/7PVhB4OqLTIgnUYKIm0GOGPExadRYKOuYddcxncI4weJK8OT13U2yXGhhvQkQaxUXzE/zKf4p/qH+1fX0Pm1cwJAyhIJ21/sybz7CzIROUBdoClbB7Nz7S9W4xlclAX0BJ4IuY9YVN3d8Q3qyQriOa0X7tothtbXYNVgq9zY8EDRd7wpVVVzERtGwf90ttH7KLdHVL3SL64DdaSapxBvRKyrpOVZl8lOS8K5eCLrJttkBdjGW/N7OqkUQMRXAOlUogUXZ9pjFam9ssTmMckbGKQMuEPGjvdyZiVVYLkbeD2bUzB806hD36C607LkH7F7bmt5Jr7ka/3vzy4IlPspUp8DSwNiDs9JKsxIwMLWvEe2+WIK24VFWYwjLmLQgMMWidrlDLYer0eKE+4t9Y83DWBGnX6NnCn/tRBl9yuVdzHuXbiV5SFEenhjlAvvbLOE+1up5ALvYvUBwQwoubb54Fs1tenObGjmoZAiNlkIx/1dCPgFuEU9XUbX+l5WsX/3KoXtLHgRxMVMG9aJxw16d1FyfBw8wwIAma79piBgeyIfJhUXV8ukDKwR5ZZsLOrcnG/MEADca54KPwXxNsnhA2mm6diQLuzPuRaAc5OhCIEgeaFoRgbR0hfzfspRDXhOajdhIwOjEVbKvte8FdeNZK+PN77jI++DkxB9gxcdPh1hgvetLgnauYQgDkuAQONsIk5HeyVSYhEnsDnrw4fCSycOpWjZDtxIsklXNxwO4T6VGwZWPuXxAOiPu7IGt69vEa1Z2IGFW2l3PSZPyaq1Rug5feXmrxvL76DhiEuNUHJ0C9HU7R6vIFcraRmDLnygXGYvQZwVb0la92p11Gl1hE3MswQu5D6LMXtQHKiDFZKpcx+A7wGstiP+qe1L/2wqgV/ms6ZEVwF/SO2HXffOtkQM2s2OhFnB9PDTealFITkKSEnJ03TiNwk5D9DYDJ+sEPcSUxQVmzg/KtQNY1v2GmKArWj9rgKb6ysLqdLyprz6axPUP1rFYV9OmpCkTX+lefZNMx1mKatWZw1q0I7U72PpiHOtxrbqxNUPStNc/8ahWnzu7WYMAb21mAqAP2hbCA08kGWlNVOUaliG8laID4z7H35RXe6S9ygtxGU/BUmn+13/9p09FDDcoknO2zBXFkVEjA2ZKkZcY5PThUMNEGQTJPWDWf+Vsjf1xiIj0kDL2rg8O6vAnDwljWUzxwATkRbmsSmYgiJT40iGXRrocC3SmIN9aLGOw1Kpn34Cxo83iM/s9ECLLWX90fK3PsinTFFoI7O8MePcjfxD4JkhwD1t8dIyvyw+1kQR/X0QoF2RIC2t0opsxd/zD/4IIuCI/RMz/KBgAnWeY2d/gan7Cbq+VQe1jZHj87x25vwr4myWiB26uVUcqgA9BddObR0GzuYHm85UzJePmFbQhhbdV3LCW/9XnLmbnzko9WklgJoFCDxubUdC+w21SGdreVIl6XQUFRyNW9SALv8AuoKr9NbhAPeh6WvVF5vz2r8M+uaL3tp4AM+CfhzPd9mYS2jTaPbk8ZFvjFWn4u7mrk/wDgM4N+SabJbBP4xr0IsRjShp4FgIhSmzFGOjSc8a0OwiQWT3GMNa9Wx34AmwZDIlxKyizrS8sS4gECJ5z8PC4Q6niaZmiW6tCVlfnhhysXVLRjB/D5HnLCgyrrG8mN4YHCDFCckcoJlZUbEiY7toVLxA50I+LSpHkRCi2RxNTEP5VeB3ELEQWmjZkgdoy/S7L+dzTMN/c5O/Dlq3ZVn5UC9U5GeBCi8yhiObwwvaAhKJO8B/LFy8PhLgQhF+y8YWU43ZFy6i55yG3si8NubRyHe9KtgO96Dtj1nbf5km3ykdGOZcZVtBf6gMAZtfcZg0OCsnkgmHd6z5Boe11lplEAXYz2yJ3LqfLqQI8/4VddRIVinqV4o3MBBHpJX1MjCawqsJmk83iWPO7hhy9bi99Ab7FIEKQcX2ownqsY3iMWWKUnxrlFLQCvHfOCc1etr7x/jaBs5W8scnam9g1geETaaPR8TLZVtz7/fcqv4mUE0ioH1pFatTWd9fsslYm1f3e6IfnecoF2E5SzKQdF8v99KSOcDiDpKtQbQ6wRNEbMkWDmCkiyUBHxlXsCwYCml0JOxb+APO+ElSjGEsKntKuTc1JjwK/iTwrS0isJyz8lmG78/I7ES6rLOlxExeRt+DJSXA2lBXpsVWDvIvQ7gpoyex8Rwxd5dLnsqYZVGsoRXI0kna2Cp7hGAzyDZ1Wkax+/wUR1jYpDjPM851o/8kQv7nmJvViO4b6NITOPl4F7IbVVzP51n0D2A1Iu2wSaLL/9TxdDw3T6HC0XUZOlKGyPegFvt/Q5zzhh6kwmQjxn9igr9v9+hw/s08renUFzqhKWvIx1lWICld+fiAU4B+Q0IzVgsCzRdyFtdtmAXwKywp2ZJvcmstZg9c5PgdY5hX7vEM07XuuN05axn79tXQdv//Doyt+QL7CuRn+bo4HvBY8qoGUmH6TLGJ2seTjfRWRjfjDz7rQkpwklvV8JBetAAvC59vpYvDKuUOsr7NgpjDdoOJ7X0p1DjO6gXn8OBUvKotbPhMpA8emwT6ezdmZQ0INlCv78rzPrs3wq6lqX0sRF/0glr8EGyLlbVqOogWxzQpuIbgSuNU2vxUfVJV7TgLV4uOMMT79xkbLnVlQUh0F7EtUuT6ueHne+uVqINMhPwYljYJRSF34NLpQjOQgRIoxkCY9YvqLDblA4yRqmJinZZJ+z9haCbr+czmMYw8y01hHn1kEnGNGJX9upFPr5l3pu5CG0PMWKbd11znBS4q+wl+x8tkcXiUFXI+rSXpGC0oYqFF5NHC+q9QfaU9/zkjKLUJgb19rlucvysiq0kV7zwoodMuIIn2AOr/wHYYmMIJ4JX8m9gIVl9QpGGE/kqUHxgtAZDZhZgiQo9lMK6Ukl3eDmaJ1BHAD6NtfvyTrwmXGJSs1G1mUAmWtsLFSq0SRHNPzUXewKTiZ+iOZB2I6SZTY3m1JO5/7IeaUwSyBUSPW3fIQV5rlOj04mkSas+vfqGjv/Ozf3d1x8DDtZBt7GdK8Pw5pxqlR0thYEJ/N7i7QBXJW3kYG1wb+q7fD4lwCLJoJyFc5crnl81fmum5SIdQcJFslC6kEjtb6d5Jabq/wCu9wUSMIqO1ZI147GGpHkjQjMPuMjgrMo0WVND4lK70Gb13C6bDMErWvVtghdukfq3wiQlBr4FnRQbnOWN9p334mkO2WrBtek8AXcmddYhSgKrvW+maCfiybip/WeqyMRSfZYY9R2gs7OH43Tn+ebClnqTK8SrjnCdjji1+MhGpJQeMnLggVAW8bvYiwkFqLWh3yRYGPY4QoFcFq+aHsLHb3lUjDxe45Z83cZQAtYicHzfE3/PGxH6/g8kLu0kBzw0z28z4uR79krv+reAZInUyx2Ivey8/XCElAaXBOqkuc+Lj5efI5AtETHi+DCTCnTLHdMYpWn+eK/wBS9krrcIPd4cX2j1FXkGQnDFN3MKyknZmEC9IbBWKth8NejW+6fnUwYZHoLne9NHomlVBU8/tOBIzmLbhNkpZsrKfkX2nfXe8lBnZH81Hui40V5fr/SD8qXxtSnHc/2HGCtrCW2K6DKnnwaIJsvj0Dv7j7445mtLu7i53XJMaWZnbBG8FzX0KqwSofMHwUmf7S3x9jdQQ8gVaqp0X733DxbedBnJuKxoQIaswxusW02EjhxUH7/QGPOQQt0UkSLtDh6YWU5elUk29Tm2tNRiommLsYSFb5h/VOHSlIuNKIwJ5NjqSty8Ahil0E36OACtlMci4oYSjzZIIWDIFgtR6KcgldewPVrugcGK0bo2ZP51Q0jLdbu5WpE0JOmBEUbTQvCZDHeaxBYKHONiP1hE3WuM6gW8djUqItVwGTPKi4G0EodjQevYK2Alz/kCrzys7yhwMCdH1VWZbhxb4M0GskwFdeUe6wIpGD1SPIzHiS/VbS4Yd2XyiEWNmw8MJIF7EdcCtghQusz07P9WJatyAjLuVOHe5t2saZjARVTAnOWougSKH9p1GmbYL+GHIpMJI64hyHvgee8o7atTLGMSLHCti26RkQYQZSuwrWP/n3O/F5tjMT8ocGpdLfxP4EMUsz66+I5rpM4ZVN5YU/Telbpr6dfmMXd40vS1mMKglx8zW4oPAQlZyddi2lO5N8/TsoLxnkx/mXxTZWchpi8xCY9IlVDTALxmvv2XlFjhRpyq6swLJqhPlPyStEBGATe9Ia/33WZEOHzARoD+PTrq/buQK5TkG5xJRdcdvluN5Xu/TWBMDixuAjDkovMgKuKscM//jPQYV34GmdQXIgKlfZ1WetvTI3ovKFiEe6d/neokRERSfRSxWXjsS2PUXGFlP2Rl4i+glet6fIXu3rXrJrGydUD4I7ROjho+vS1LdyEedP3HSLyWV1IBAlKH2RW1rKVaLSDmVzHUq7/mJvQ4UFXnjWkdxoIdoNPI4bXB4iT0o1GPcHADU6b1EMS+LYDNDfe0URxT2GPhf654MlWJtjMgP2fPMY0DXE1RZBAqZCjC4QBxNPPqdPYCwRD2jSekxeC49mojM6unnWAFEZG4gZFZM/HSnuEW9GVVbiuKq6zUcgSgON3oGk8WIkaF8Na+VOgK/0vth33FbN+OLx9Vvb1WRU0B0y+oSdhg2K85lTRB9pmwLL6SR4KMTgpbs15IZD7huhRhD66E1TTAGEtlhdCfWu9MtYCdllMrts/JxI5eLTNgcNAl6u7oKLJLZusqoap8JzYAYE/eP8BHek9/yd1VJTGKr0Z3XKBUSO03dL7VbGgAXqIEeTSUc4s8DiJv/6E0Kvj4nHAD73ThoeFQ/pPCG0VeJcRQa591FFVVdo+CJ6spLKhg3jQ5sajewSmgRQo1RXhIVAiQAZdaRPqj75/8oYAEDbxEOIXz0C17CuEZdO3etmDz9RGJZYeyFe2lpIxVm5HQzjou4qqEGyqkusp/xIfLC+bun+Q2U9PRfmCPGVotrR6l0NMXQVbs3GYHexZskyjeIe21Ux+lSwpkdJQiW0bLIEwBvZtO2HsmtfH/eX9iGgERhBixX/WWB333cws4jWY4dMIad2qUQFLt1MidOf7r7yyoquo+OgbYciAIDGr4muRHw0S5mniKSHGv/VNoa/2tmoIcnV7vhQl8wiWrciUdtuVkKrXwfg0EGSjiixPUqfiIgW0UGzTkRiH5io8fED6GAWJ3nf39Sjnr54lfrV8hrXjC4YFpGjcNwyem4l2GXKCctfDh73/yalNTltJt9dsaDR640rrgBLWLhPZwT7RgAQJekEUY0JjVUjG7mRBppNXAoh4f/MVoZVKjiXGblrS8rb2yFxyzhzu1U3UcrMjWLTiPha4gPK/+u//hOMwRKJWECZCEjpndJEka8kEOjK8zAK33vxW68IUfOiEtnS/uPMRxUVj9zbrsjbqhgtmckCWO1cZwhE1IAsNTC0NuEmEn7jlIZqTwnpYudeDK4yhc0BtvTqtoULmeEbD+RZCGDkFXUuIx62YmJI9S248CzZQaM3bL4Ep/C4bljsw8YXOuIREeTQhrxURE2OxBPJBvLNaKQnI6hOy5sGzklV9hdk9iK7CoTly9Upav4SzHncwIEHhmsLdw1NoWxGk7dYJqqKuxsfR1cB5VlP33xD5YtwUOkmhOPg6Tq5hnpW0ValUTBQFIVPaJaKyK3LA+v20zVxr3yltpdMznhwu/a4JJgVv6ut0q6tzfxtPUDURrT05/lTZNdThPiPFx42Gb2auauRQDw3m6PY7fmurL5ABp+bYpH17qTJRVs4iYvqiHpNv2E8Sx/xtf8GljIAGu0AGrZty1hA2Y6k3AS46LjonEfOondS+Yfs6jwBQdBWX0IXwa76Tf1Tykrzm+yXpJITgAIbZi+lXTpk8ZG+0xkFAVb2PJeZbJoy0QJVZZS+fXfqInm89iAUNaiSB14kVCsqoldy6HwAbxL9aeEQLozRtoHACwHsd98mByhvUQg3RzdWavbmwabCFFYvq9N9bRyUbLfoVQKpUfYoVQ/o+qfr43BjV+n6yaHYKcUqtmYLLxIQfEXtg+FA6uVlJLsYwWqRFrZsBDCmZH6IHUEvPQDX4yqHSAhoyNupilXO/B4zdDNInS7SyUXkik+tJjN/wT6TQBEf97WIezEB1WgBI8Qqrob1uDgJmBdKNX1XZXrlkomFPVdTtWWSDVtIp5+rxT+OoFrcCrmMBM4lKBP/NsHwskdH8AWz6OXm0ZAJx6Q6srg1AXOGl0pPpRQUQMDJAoyvkazCejTb+wWhyElSllztRqe4FanXRa/jnHAyhNkqq+cskGrymNLrKCI4VKpUdzOu88odrNWUlSdq/YhBAUVIBHyepf4KgQkPUvM4t8P7eg1AXHkGeEqzKj5BTf4q2EHdrPpRJ9b28qjrXYmYyYaAeS3HcEsUEaw9TGcl8H0zSS0jvCs2FrabYWkD2uSN0qitSaXAl7Fe8KRT8TR1Pi8MSTNky8oRfT/NBZZDrxE3D1/uB3EbsxOFwaw82wTJXFWyOHaxJsCuEWWIXebLBR5lsMKwBi6IL7QRtTn4jAgaPyObJJ0rqAjnGqlAcoG23obR4BS3WP30v556Hm9LwJgCZ2mLntK8atKXcE/ZyPtUQmQNsBuXzS75k/mUMwdWrM3qBQuWx0VFUIO2+TBvhU2Gev1kJIsD8t/T0hc9evvtOZHuShQ5i7qVvsqQh39SZWpSBOPV5WiUmUEn2gH7BvftBG08/q6tRzoMayMVvhSHiso8pby+EX4Bq99VdhY8BSpS6tn9izE/WRQxYlc0OJvpRqRXTmsBBMTIVdNqrXSmPXcOoTZq4N9hHNW1jpMp02kBxmhk04SgbCw1cRW/7lP4ONQpAg4YPnTJ16C3jac5C3g2vVzI2lzEr+HK1DHm8QH7Zpso1FaLkA3cixvRUNkknWyi2FI/XYhvY8nIbX2cFMQCdmJQWAVKxa5qfi4Cyk1NzkqN5Mbp+XDWkClIAg8ZZMmyaimTgVJi8Gqcfa/BditTJvhc+l6jFcEkQDOm1vC4w4d17sAO7AGXRiwch4MPcH2jqRhcjl2e8s2wqCCpnRB270/hoZWh2N3hamc0+3GA7fbOQBeD/dn8L4Zv/Kr3a3dABsjvg9odwC4YGFujOoxqmWFvCm6SgsnhnHnWphLLAoqWySwFvZA4a4YCix2M9+sqJVL7DkCasvvyTTfLTxliywjDh9IIKC4wGsCCA9aOr+IGRzegDzu4Cp7lhaQxygPi7Ie19EZYWdscZHs85Fl2zVISxGGeLt5gQUSa9pKkiI2MBn5zLyr3O+2JKPl08Jvy0oRmROhYBAWBcq8jMdiVw4ZPmcMRWK0nFst9SKtQWYnt/D5aaeed1S7/8a4oYbXjs77vLF5IO9h39Y/xGA33faWaPYXVx08Jg3n1zz/vzs4/iwFfLdXjolzqLyfBwkRqaogZCNydhWY14MzuYEdL7Ds7JraiJdDqjGHctzl7OP8fw5KKXiWVZeoxTg5UNlrFO8FNvNRBvyWMawH/CCtA6hgWFtQRgTJ3LTSIjfIADyvAFxKkm74DH3bkX1t7a+dcCDr6KxMFHuUt190DiaX69AwyGEaJph47SqFvOkUrZaHwQDMzL/5Z/vOPJoOT5k9dcVbWK32eIB7r+BaAMVpKYl9rvwn5ZweMKUDdmSgV5Ukfp/GWKHD50P4QHjMmoYrVlI3Q0WKmU8whu1+XzZbHVf1nFoHqD+LjUK+vYsWDwyoqaWI2YlbWgODrIK86vQMKNmJXCfUnY1oCsnxLewCagNjULCIHhmojmo/wLaB3fYxNPhWwy6XYAM8nVIup4lYiuDIxfEub9/BTxf+J20LMexW1sp+EsT8zB0gv8f1X4KtRi02hrCAE+zn00T+mDrY4I8STIAZpsA67sofDCQNSNmWsNjB/lCKVcrzWtwXjZ5UyzjQJsYgpTeaP5R/qQTr9Bi429GBFPecKyiYb2DiTmwN3RFYObyYHxmgjwr6Uu6fbwHWQhks8S6r88srWdbAPisHXL6Qo1WB/USTwLKwX9U2TYh6xjJGgQ3cVu1n0vCtRpQz4I+0CUuqf5Pxqvvz6H4IfJBMXHPIRJU8ie/lp2cy6ri+DefeyasBVo7Eia9iEDDFxoAw0Jf17Ftx0RDo0YSCf7JGNb+S2wJbusK+AXnMCx879UFEz/HWlpFCM0ScTRJ3z2ukxEDvreMCrcXNF3XhKFLFjRF5cSnaNl23YUj46R4FaU+wuoys9jwpiJ92m8TZ6CUEl/q9//4c2e92J+LQU8NoYFWnjJEVOSY89Zwz1WivyeAW/ZJ41EyrqbiP4RIwtc2pxtGVak9j8XZP9NVtL2OvLoLOzdEtQDRMdQFgZytNkCDhfe6eBvXULOeB1fHWl8HJ1RugN0IGStpOsDEt5ns1+yI6xmxDjJjUQAuRGXW5mkcAUpBg+p8mkzlrSpLFYXY2krztKltGoCkN2EjD8X8n14GGMxEcsrT1GjUpsnnXIU3vpg+WX7vBB/QIEgMxL0mFpKTYxpBTvDhZrxLvDCP6TljxwSk6Kp1NbJU97yYeUoh7OGHDd82LJQikgwLCaZz6LRsylmSgbuBv5ZTF8c6m04+rFyk0WMYPVsh7NwrIs5oy4V+ulCk9Xs+phd0vzePlXHegeWKB9MN25GAdJiCO1Uo22DsvKPTRLZCTsynIHp7gKsTqlTqLnPdxVm4b5mICDGnkudq5FlkN+JsKIO6lP4+VaCGyv32EgVkeB3F0W+fyrlIO/YHUAU7yv7hhA+ZueIly4ejQVAWNKbVyiz/eNuBPma3BH5f4jyGMSWh4NIS9QC8f1df8KnEWlbooQg8mFfVMTBl5UwD+zhYprU4pPB/2FWrL262C/f7CZ80UBExKQGqkXqmzY1mqvcktUqGAUwfgLWM+IwRsiufakiUS8M93Pdrou04JeWehQgcQyP7Jb9uum3ReaXkmWwOKbvRSHh09mdqQiZgux/gljHOc+N2oG0ER5qCg5Pb8hZPsHWjMjwNIcY48Vq2bAxyODIz68V+rOHYnu2NnOQVwUdqmHXRyx27i+VVrNXq6xEVqqmTG2HEwd3uQGe6ld/ZZdfmiAFYjuY42QSiWW2buQSbF89wlalzwgTVxvTsZq1iOzqvgYrvhwJjRs8N2onyrEbPkZAaGfs1nJB1KhzlIYnUWZiz6/fZ+ZXJxLyvBwLKO1P1GoUieGkqITX7wBAE8ol1EBcyUeIXCUEhO8fY121OaFbtjQvJ+40BPG6CKLfp/igl5QMFNN0XtKXU+MlvK7+bUou3qHs1vU/5lFvLCuYtt9nUjf6AYiN9kwTeFWQitHKY34fzmvN4HMSKPKXgKq4lnUV4J7uXFeIx0mp9o1l3uQPIyigDZEdBOXlsbBLqbX2qZ9Ku0cdZiuLtGSpsw+8snxsNIzuL73nUwU9sdYoRaqibDibl3gn13U2fykVQ3Ubjyrp6158kg0Qep//Ot//HlEe9T26aPFNAFiDPbtU2xe3wPZZnG/2HRntdKSfQwT0h6eOs89u+Flpt/hCl326zec4aLCOyQcABiH4Ljzfdm2fDXDUP4VyPZDpPcz5k9jaqgv+HmdL6NTBeJjF1xfaTgu4ArxnWF2z+zVXcnbe95t0npNFmSt+Dr4fgWZI3Tgxrx31y6LF2oyfgtUKSugeBuhdEV6XRjg/+9//Ud5nZBipnwdh0vPW+tplRh+5TOFLfT6+tjjD9cX5DddJ/+1KowIf710m1E1MJWAiY1yCYHPC0EfNYAoYf2T3HgZDAGg6kThy02ucjKO6re0n5QzCBfuuyYf7dHYAj7ZswP3lh7H4sVw27yRFfyOxDuOAjl9ZeczFHo0P4sTZxT+6Dc32ctZsyLKHMPgzCWsdDXd6nZadl2JLMjGVv7WcgsFwCtxImTH+k8nmF/zKcp+Nu6nvYU1UI0jigKapawD07hbLe/SNpykg+O6tU68O9hnVWpVDK6TfY7VciqE0cH78U3KVt1XVEOL6phdILWmc1flX/vLpUEPdShTBMWTTXrU35dyB9X26+Boq/O1n6fbc4TtifAq4fkjnjO4uy/Y5/5rY0U3Py5tPYB9RZFrCis0rE3DQt0u8wSVFURNwu4sB+0oIqNqRLCZAK4p9qCorcYhosevJIUb1bp+zD7kt++6LgIDANsZw2gjgOcPLdWsylsxiPhaErjfYXToVZLIl+cuk/3EPSJL4IOFODyaJBfrxD6OC3Qc9BHbFRrc2vtwibhVAGoSdB2Eq0hwG3idtHnuELyuU+NDDXibeWmnqoZhOE/pk/DkyZcubcy3WC4+EyXXwedwS0TqAnhbOooGyd2AoHSKdB2JtGCx7RhDZLYjzZr2OBU/2C4TMdbl7YnYvkYedt0z0o+xU8mdz1w3Bb8lsNzY1X/B01cfPO1OGVEzxOBwXCmv4Z3BJFlZcQanjHRdh6YEUiJ6tL4MBog6Qd5gZ7kc8N+0ZL5TBnkbqX/ehQBzkfEpCvK3ld2gsN+HELV3TaGzKDLf0vy7NJaxxRJLhpPO4/Oa5jTwdNQs+C9sUAd9C9okaAfsJG+NbszsMFHujmfQsm6hyFfIoOJHbkCf9Nler4K0XPt6l3eOf0iC353fj7tXR3OXfF+Ndm2pMWzG3Hc9+uEdC+WBoEMSUyR6iOWjXpj7A1yn4NthdJPOdrz4Y9erFDC5Kek5nUATu3BDjG7pw1LbZPddO3lqLL5dZj5sebMowFhuunaa5msCPfz5bZRxsLjnErDtxqBzU7g7Xd4kTaHJMc3VDMIYZ6hypUb5c/NqQSj+XrzX6QKd14ubNPGLslJH5zJjaIlAWhj8PvNd5DgOCV9FT2A/MdZCFk8Ts/7Xjr/2F2KKkRRvkTDQV4iiHtXW10sQLkL+x//zr6fREVjsi8Tr/VA4COKc3UPWs7hz0VfVAsCJyw5AkLxSzQySC91L8xCJAsehx+vSPThah11kWYMvzFpzq1RFLl5wra2XziWBGddN5xvqPEGLLGis8wpqyw+Nhv+ZYapIcF0teqQ6smM3apLRJgSiuMDiVYlQUOWv9/slE/CK/3TrVf4EThCbqcOqqDkP9vPGkugpz+AaxdiQLflf//4PEkJ7+1yAQOSo3QAMg3heo1yA1Do1JLTj8avEbW3Ru3CzCCPnlgGSK7nHid2t5g3zOulGsKv9TuV3BOyTUEaQRBXLoFdzux7hS9zxmF0CnAxn+RGazrxWU39FzLG9xo2/jBQoem3mmq5gfdcWQHys9rTBiUluT/IdaR0gsCPQyPk17I4iDsreVHGXBVeA8NKKD3S8IZA0mMc+mKrSknh3my4mJ81zLERT+wgFNVseMM53V5QihQ+RpWdaTKa42/J78acOXZ17RfBCQBR3QpySwpRvBD2nhwzSmj9O3xiY28ax69fVqKTx6HeZlNeJ8nJEV2yOn9i4CjSlZKvDAMvpdq/oJqnXOpxlHCOXqOp+HhS6/qhEAn/qwbN/nsZaQOd74UG5rSq4y6NWW3gGr2tnZsy9xOgD7rX7ywcIT/fuiqZMbsOyZy+yrOxMQKUbWhQzBemG85IZiKKhsvIOdJeZ2X146ncf2Q7U5M0v8ESHf7anhy0nRONW2BmVFIjo8B1xCwG2okfywV3CTpnkp32jrSTL6PV66SOxcxuUKIFmcNb5aSH2Eyjf+dzskEgOJ8eI1T45Bapm41HtJa7O10xhpaPnCO8vBbdeKhCRdfoljqaqN/Ar+UFbR2dK+ERgKTvDlBSMLPi3VIlTmyXYecXiJBHo7iBljz+Ea3J/r4sS19+mgHahR+IbvHLtaueoZMbU+aeK9IvGmkpcqLeskKHCb3bHwe7mB+BW0SDHrdLLUJABBnWEgQ4BGRJZ3IJzfmUo7nHtVWBmcV+XfxSzg8qY5F76bmCcaCJnTilx4F6hbT1ka4eJ4sQfybMKKB/5WSTZycU4gJN0l8QIWHIahmrV7SgPUPyjuskvvcu6IO9IeJFSuHRBNZ2HP6O2xLNnYR2h4tdciP3Dfa8cqtTImb6KFvxOhpw/XEKv7fBMDjhCQyzpH6hdQ1HREC/GLDEUhzVILLxfkAdwo6fcnO1TKwZ3wlecil2YgBC+E2UOxp3l1bG8v5RT6aovv9uLfvOjR7ujd6TRP9pV7fum50Pql4z5yXsyyok7leRNAK4L1Q1Ka6vppJEC1eUpEsaaOXSsbLs9XbbcACGyDkFxmU19Jw5eBOkujPfhVtl/Jr8oRUKXpK5rnIM7WzKQLdtX1wdk+auKQWHHTa8hg5UaWtQHGbuG2nXLeOnZKSzD5X4n0WT4NRejsCJQzcX+j+f519NdHjiSTRRerxaz00ntiQjqSvz7mBCvQYB1JBtKzqVdMJRqykJ9sEqDjIYmWKfrhIAFG+HSgtW0PdoqizizSyMNDk3rugfYuye+R+4FdA26C5TTTdAZyuk5VX48m75qu9xaubjdnOhjGesIJ/ldm/Ty61lWgZjVjQu43/cArKeIj/9NH5DHS8iUstueK8+/BuZ8ixK7E2iMXwEU/+t//c9MlibUCJCHD0I6hm7IUNffzaKvHk9e5vqd/jqcCO4MISO6H9wgVMrLgzL117HGx3B/syq+C+cUGRohcOSaj2GxPErGTOm62WAaAIeuIrm7xR9Q59iUHBcBn3WBADDXSxPcZBZ+RZp3WOMbLQLG1aXh4Hx00ztbET9qIySRoAWtv0rn/dVlDokpCiR+ByAQhZKrwwhvGoJ0igG36I6GztdJknmBsu77e4MlDBAoMYnbf/OrPB2VKz2UmZMGoqMxGL/HrIZoPdgiA3uXLL9P6rsvXEf8O/7RBTyWasbsmWyEFK5j0o8VcU399/m6dwCtGcVr7w27wMfJ1YuvWFHB3e3CWVUqVj8g+KcLxNNdqV/qLnFqXXMmyg0LXtYBBHxNvmicMIYsVfGDKZ8fj7Qx7tRBnPPRGprcFKWn9u0K3uh7SgNduN7tFHQIiXphPscNIFTLMfME2xuGbABBxbYFB2E5s/0ggraDTP6/sv+B6EaG/KtrubuYxi3fPFXjSRMWFj1K2HcDpDGu8A5f5Ua0+jQYqVILyDYHL5lv2zTXru1/NckEPpCZCCRmitxUbj+SxwNQazmQ6JFZO/973LgReGShjK+6Nke65DsIdd+srnLcKmIpL+Wml7fz+KTjFhhFCDJbmlrywBfK/aE/Md/dSukUdm7rsNWE1o8f2hjQVDAASluiUOgpdeK+ZXhGb6A8BVxpRxn+8EFIqoHhjEM4YFAK1oKD2N1KjjN+5rLfMTrDeUwlCtiT17OGorAdaX3S7X0bk+0AoypwQ5V2VL16Kw0ytXP4C0nOYQC5EvGjSwBGsb9ECH0u5jYh8PW3qgAeaAwdVQrGe2/KUX2F2ne/rsGNOpKqFu6zd+P4nJjtns2TfjAIta1ycnFz+FMGHuNTtVR5t7GlNIsb/QAlLPTIapYcV4dI0UddzDrBBFrnmDG0qOxcoW405Wo9Z9hbGx6RKbNzwo9dDPkDmKGtTqJ2X6Gyed+5Qde7bgD2fUfga2MaTwTN6+1usxGArGI56s+4+dzLqpEN/Hp3bXeda8av8tuMzdQlxzNcQKn3/AOo+jrBaLb8cQjezHyqKqb2I3e2qvQzlYwuwESeAgI5DfqtwSm1T5qzpUKfzMedymG3QvCvY2jVLS02g1HWFv9GZRz6WZjNUmTTv6rFPMYtWIWtTrn5/Ok/z9NFFB7hdVnh3vSvvKLvLQd4yDyGQ6RtxNOsVHl7xsGIoQJd/qU7Q9vSZNOjEJFyONHZsYG8+iER8tCmdD4w3iJ34WIStoiWRncfzWx3S3OhzW2cpY3cirrJn6WSRJEcEXTjJy7K/XdvKkMhHdAkjiEO6v60DexGK3QBIcVMaV9EbuvFOMvyjGegFX8fppInMvOknFAoiAM/QLcyPULag/8LmJvhFXk8wr0zkmj9mNzObQ6wKz6xS+uGh0n1aYtNLB0gkZ7B1Sa96SaqYaNCy3bV6zLUo6wFVJkib8hOq+GJMZpZScOAyQSDWFPjY3ONvmuuyn33gfPOWAWiLxJszxoTVgiyMkG/ZoyUMlnUZpw2wherfJMdrcjfpUSx3cXn+EvJwp4bWtDbJf1K006HTfTrWcGua7txtnFZuVddgi5rBI4pCuShQv4fp9jEmWRtFJrJpiDWnZXRNSxmAMAGYDFg8JkXITvC7VeiIM6iLn8ErIjyjMvHe54/vIVqrg4zaKFAViBsTrflFY+e+bfmwN1DIWOs8ULCxzjA6wYBbExqA53OZS3ISlEB6pKgHd84pdQhNfhn5//8M1q8r3Z3YlQPe9cJWwU2SF6Ne9+y7bUSLWwqdmPfOGOOL1BJCLYKoJ7HO01vDRNBMmuKCimh81kB3p4UuBCUuxFnYb9/dnoUhUfLxagP3thbwGlpj2i4nEXi8Qc06RaDAuvZ1cZV2WIMTNI8H0GSTo8rjSeySrUexAIWJ9FKP2YYFa+N11x0cDMTORLtwbX2z8CuvewS8ny+YcNR60wMMeR4zZJ+hZp3NIvKXLD5LBAZr0GCC72UsajyBwjzmRItBs8rrQr7XcN1AQQhhOetpzBP5roy/uOKvohBKVUXUocFwUOQP9AEWmoZwck+HYzH4vOKYNUn3LaaOWgSs78l43Mu/I3BME09PS95Ax3pQLSY3LMCvGshYMLFlgQtU/yX9PydpW+ProCxuQmpXksRPNiFOjgZwXcSCXxI4IAMlIpqLLTdkhIPbN5s94cl5K3G1FrmP7f2b73YollNdonQ0/xTag9OPuiqp/SHz5/qp/gQj723zbQUSDVrwSZa7AyhmTiC7SpJPYVu/Cl2kWVLmewGOn1bVAJIJkl/rcPwNrPrK404Jhu9S9i8nwVgpuPAEmhdWKoj8boas7duHe39uVV4/CtvhNOj2mHcYqxy9Wjk5toZ7G58PQMXBekOkGsCV5ScJ6E5OMunxpeVJe0sQNUJB91+gvWEqkOhvR8YLmiTQSirDikVswwoNaaCfdhco5InAENeXcTZ1EW+7sdUbCii1iKeVDn+bY9JKmdLuCvc/EtdbkUiDRFfD9ilKGTzYofFHTNnTO2+2NkXH5RWiZuRLsJYf4wcfXs1dLUlcT+zbORyprlj1AvXBd29YvoxJR0Ao3Z5KFp6yCXpd1Yk9EgYkk0ERoZ9mBoH0Dm4RDzE0yi0lRgSyCjxN3UyWegi3nXN4gRdcrd0DRcYSLuNum0D1FLy8IwfdOqMhKDzVbh3kH1IpGxQAM8jeAgjDkm5I3TkEneQos0qokjHPfWZGdtNKWQJJq5ygkPnVpwcDvokJU5g64AGrqOV5j3MCaJNYsrRL7wTbBvRaWsEfxNEfsm789fHytMF1xUZAlKgLUG7/K9//6dOCxXQVEvWnoTOaoS+sve74clG/i4XtHWSgmiBM5aVwYqgA7G89IyBDupdqLrw+hx8A5+KfNw9N+Ugu0WiVGuWHnfRw75+4vNrvwXJEqAjTtJY4NJL6eYilAu9GzjHwL7oM7jpUqqxr0EMXL9FfDOL+cVZBArBO5VPDQeLG3Eg3hGoIm0cG8QC9L4JBPGK462fqXNjXehNr+m45llEreE+xSbDLUyRe0iro5mnh6GIfX2EThDIsQTX8bhk5MzFYP0N8v/0Wu46jevZxM2CQWVqIV1tZiFWcczMhzcgFflpF/1zg7Mhc1dMTUdeeyyhynaKkFicRVf61Vc5dbNAl3axoDAPygAzSzMZqEA6wCN5Vdqufv5VWHR1P46EXVZx73oQPTiPP5KHClgdd7GFCwApgKxCfB3wTPbeWtMESg8YhJ5plBcd3RSos5AFuAl8PjNMgs0LFyy+EtTAMqOld+M5jrl2a1YavYoMSMepALSERAAbX9XN705lvtEkA7YcYM0fmcNxA2EazBiZd0gHQacbNQuh3fK+yqezj1BlrA6ukKzqh2z4ZewqLTksHqCPMtP3In1vnWWXL73FhQwaBGc/lOTZBwaRwxc3YDgcMIpvuh+F41gt+jzc12APLTVFkF5r8XLROiBDEjdB4wqHShVTnOfBihAC0stR2RiIcVNXkH3uqe7zvDf79/nzBE3/WUXKqh1t76OLO3CBoCaLXNtWKhPCjlsG5ZagvI3et1MFRPGYyk6NldoUjY/o7p6BSdDD+jQwSUgFvrCWJY2B+5WjlXShLNClR4kMeAbA/UuM5M+jgHdeuIdyoC4B1qjyTpgyUJ6TznIT2oZVYGatfe+78MK7gtfTtfZoHpfQXSsY+XXH6LAZWA17ZpV1Bl480BSImltyRpBowNaXRlsBUG420T/YQLHRLleBJD0IN3R3wSqvdaThj/JNYdE2qX89WaygXo4/muDxdTFhmyTmrGWbjJm3U3xmLl3DWwPuaWO3nV5L4BK0gsEWRD6Z8Vppd7Scd/7PP//8H9ciCwxfvCS0wBp38w4QKRoCbVQ8/rDHPC78dNwifGM6jphL283doLWuu3mWku33oDUDkC61AiuhLECFtNWNKD6Vuat1/HnmU09FcZTSgx9+4O/jV5gSoS4UyXH+hX7H82oARjhEfMVj/cS45l1cy/rQOJl09pIzAHol2NkAnYWu/vOnAFTxz/PQ4tpo6TLO5yh4v4WaO1+eIHYkdKHrW+yqi7GdF9K5nZlE6rjwRfIfzU2EY41dAcLemIIwUGI+fgNWmBCMitxF99IR0XQOQeHdKT44nYaAE3debWVq5Sw+3fpKN99WnvdGgXqF5wviOEjTXXMGkFZHFRSELZl2QKnWMTtwOA8zWEMnnv86xjOJD+5DNleWKTAr5nMBEh2rUrjxf/3Xf1BueXAjlAhBHR0lvkh65aqfYAGbwbT7bo4dv3P3yTpIWhvjdy4CWW7InD+A1HoOQjG2ufrU5yJbDf1yaZrXDsUfq6U4dH5vFzkPBbK4SL9g4m+hy8gZkEXUWkzKX+1VCYfQX/D7nTeO9ih6+8uzwjjlkeCSTiY/c46lNEu4t+Z8FeeFtAmERmpLR6uylLIlO0skMCFIKXfAyh4GorcGEWKYQIdfrb4nt9cXQABmWDz7A67Y3sw0sK9YeqsEqlOoBtRpnlVuqqqrrQ7AsBinbEbgy55qGfQMWdQYHleAcHOziI7Uom+b8l5hQXnozKWo2z2HFBu/YscnDELGVOEOwAMXfsiRS8vtPU45U+DYGVHsYtV2958/9fSfevAYwZlFd/HAIgAWs6oSGn1l1jsZigXtCCAfYDmrhwZkbxrXeI+zu4eT0hincy550Hii6r6b5AL86iLklioqbMAkidsQ63T8Hv2O2vBX/eBdj0RbI7JOE38d1Tt63+AuLWi3zxiBKdUNl55KTQPyc2iOFt1jXUYLuYt+NGuXt1ObnX7Q3Z08Z90M3VOZs8parQoeJS7btmEC4DpjLbr/QBa6IiJPZoHYrOugEeb6/Ka66F13Cai8YOigEL2jrsC7BvlG33xnR17nbnG7T21tqNmFsHyI14/5eN10TwwecvW/GbZRNUpp2syQkJKFepZluHK7+t8KKHosYRVDllU1BJx5qhUlgWjxaT59hCooO/wwf7c6MnF+bRaMfnnhBARqtxkROyBXYT461jvbn8mp7TnS3bLaqzlSP2SoOG56XbvgDorrTJ5T2H5FbodcPvu6omIQtErFjwVaej34kaLCdZxquVWSygztcuDttBg/ZGTDAhywvgpgF+91NzvB1DxsHLKKFUPw3W/YMUJxVOm1EPbQifUcqH1RvRHjmrOUkplQDwIYYYgDv+VyrgUkywMC+/iz+INZa+rh6N3hLwcENvI58AH1YPEfQH0HBX+Nl3poLRIHn6yocD4ILwWpv6T7txUXx7/qn9H77noSyUKkPDG8eqEnDIcTLfT5oPsxJmEhtcnFU7SBZnqCrzJ+4DFTi4clryTmh6Sn+zUgkzKHrtAggI+VFYZ6cmOk3/y5q/lFxQ8+dAFPHm4qwTEq07v4GrpobI3zi1pbbONWFbt0xvU8xcGrN3tsEtjkwvgefbryCHKjLjf3waeqm3+qQfRTxFkRJrNmgpmpBvKbdUlcLPud5V8xwHyCow4f9km50JY5JKStWqm6LZw4iNf3KnB0+iPeL9cHtu7RDGeK6nh+adKAOgI55+ToV5V9j9JdTlRveUAu5WvhjU4etC+eYYd5+oz4HLFlFUW0oh51cFyMqyAtWzl+IElF+x3eVL7uPr+RgszA8HwqP+mtnOQrRFW5M6ZNNCR82xouqVvtLsH57WC+fPz6q2UgGQxa4KHxcaGtm9xFA/LAE6Eqdwe1bmvTRjnR1cfqfCodUp2f7/ihcxX2HzDlCxy1s11phLxAVTHkjnLhl5xzYK0kgSymzb+vQttN5KvIGiAacJpeYBaVUX0h4kFMGuidfHufttUXM6jbnvU1VWnGkRqCaY8DLMZsyr5A9GBQMAuyotsv8XlQzUZ3VxFdf/7U0w+7nqeaf5pd3SzWn6eafJ6nn6pC91PsP3/6TzegbhbbEqzFWZC4mRIswPrgKV84Llb0FgO4PQ8a6mgmN575f0iINA4mNOWkp5VttpOOk4xqfY+uVz8pEXaxq6FBtUlzGyUmseO6cgPNu/YxCuvDDQfBhBlUajPHFo9lrxny5S60M7PgnlpT3U1oh1SKL28YkGXdhnPhBZx0oyuYs3tLmcVgcJGUOc6VhrWLqq/ughUwYD0iUMtmFcMK3fUeP17WspAaK5/DydzKgEJhayNscBK15sBV/G0nHeO6d9ECzmBlDcOk2hAIBpFaZAnEapeyqbZ35iGlQF5TAlXoZwCs0hquNzC7LIjfYJWzl1H+pWyGaWlQ4B8/JAjEg7FvIe9TfXxZ0hTMrSa8W9HkomfrzonJdosD4kyXipeyiVN9Hi+I6A4RePBwUBMEIiyurMM9wBCNl+t8xvkttEwcJD69pi40OmyYrqpym2i1XtpCy17h5+NuP9IBSqtmLek9GBa0j1A1Ft1YWcZf1oYv48bLYkHafWWhTLISnnU0q5TG5bOhDZqlFa3gSjWcvO2yxvcEu310ff5kpYxzt0moyp+J1+oIK+4stKifO4+D6a2Fdr5ZxBYhSHLUJDdtZeafj7yjIpM4ALw+8TMXwzhkLWw0L4Nb8u7zwbzOPxjtpJSWPCrnUg13A3xJdzBj7v4sAHgVh6qKFada92ZEg+twZHXj9WebJtiH0bLPzMXGC+hVQAvHFbezzA0HAHpXWalErGbqpqY9MC3XBScmA2jTiD2c1rzcRqZCyItSUkw0q9jsJrO5569/zp+aVrs5NRhhsvkiJTJY56gqVDMqNheWy+XnkpP9P3CR4SYyME2XZTq35Z0KNxGaUQWVmbifkV4qIte4R79+6bAq/fB+pmXakeV0hAse/0ni/gTHPzdSDagc1z4R6Smo6ebu5hHAZRvxZn5/zm10JLWyIzUSGKJbyQhC7lb6tQtkc/nC5R4ADLaLZj4djGvlSeFW/uZdstTtylPefW23nXbJonxe5nOL6iJdQYvyvww1iWDszw5m9uZ20+aGcYvrwLp3cYyxm+3YhX1j82VByoZL9zJtMuJE7UlZL+HD4qJgMZ2+W7v/azpmLWZwZ3XvVRHoKPyGY97eHKL/L7b99X+kfgHUMIgucbtMg3u2K6emBC5vFpGlehAO7UTreYA4uVAECipkBRTKeQGE2Bqnqi1+vfIKlawBkxeAwfalxlCdmbHk7UCtQWy8McKH0T2QBg67OkIIRlzFWkS46dT1wRkQoKonygYP5Bp/3BTaTnrR9R60cVpihKG/xaaHktgu4/fx878YOrhwrIGZKAE3Vlfcxe7sEdY+jXQbbrcwHw2XBz7ornag2exIcjfBfBajv9q49vgeCQQ+76Ag1Exd/VQVWc1iNZ+myjryQhWaIIZdTaJQVVX1FJ/uh/zTz58/f56Hf57+V/Mp/Hm6qurp/LwqEhPl30R/6ofL0EnwtIxLtHRyDyIKD2fzCaRG53z2s7C4+lzOSGvjkzbbnWrhIFuPS/nMXKW/ZJoUjz+kVweBxjfM0Dw42REI1vjgi+rCqicSgFFAu3QcXBeH+65XzUMoPIauyYHn5tYdD3GzeMyvTDhQUodjIG+e6GRaqVwFqO91y5bXl3lY9A7ihGzXnFXIoAyPs7S4XEVlF4Vrgvx2jH02EJMShgWXn0MGlWQNhfzyXf2+AeZDz9BIXMlqrlGCxeb+CQvLOOR0tIjCjlhVa7mLCaaNGQnRAPmPz0Lqaj9dsewnGOrNe7dwh8bV5EY65LJJnxwd3vvz1ZyRrbo8ySqQzAN10Xu5kdZsnZS9QapTKRk+uNVKTp+SuBvTGLubksQWivtlTk9m6nIAQXnYRoYN/R8xCTpJ5HE4azWiqxV3xv6yYYPhUDMLg/d3qlyXu6CJQaGAZUkPWewsMJuoCJdWv0N4o8wNpKFgKcECF8V4yVmcIgKcXQB9QAfSTuFmdpE8XxLLG76i+kpXg/MqAF+PdhRhkuFcOq/gRWVPoAHytUODQ/8Watkhe40KFqY820FsRPw3k3JVM6TdgcTxM7sbp3Ufs8w/EtxCSbN4N8XMgJr2d72TGdpmlkSaW0pe4eIxqUrqiwzFZ8s4sHad7ZBBZw9SKWLoA5iScnwigOxk0z95Aa+JN2VoxWXeWLInukFhyq9Smj57DxS8okptYEC1i0xDUWIXuCjPxyBbQ/k5iHtZp44QptQ+fUJjG2R1+mAVd0eDl/O+M/L2Pu2mGwuPlDW7QQ1SDmCXEIfIXmy3Cije3KZrXZVDiG/kZHZwszoXPCkGGLXtolhu3KtYHvAIcsyT1RAk+wqJb2WQDxRp/GVwDX5ewl9XFUXxQFC/z3Mc548dMmJjZYqCf6w5lZiTuH3AqlgVIZ3bZRw47Uu5OIzsWIE0WaTLm5HeAeSZ7s9UxHKcsauMGzg3FsiUc+Ashw6n3oIijvZkrHtWUCG2EdQC928Ev0UfbQAjz/EaDkKtIHItHAgj4jh1VFOWXAWVwHUWLs9SzVIId2eQjZfhUutdwJKiW4XikCtk/ny/jAxJWGoEbToFYXZ/RUpQZABrrA0L3V4eN6KQAiJDrGvgmTJBioWoOV+D4PTR9R8qAhymj6FnuRweKD6p/a9/98uBOn/zagFUR3si2RKwpAiC//Z4TdmcFhW22gYO0I64IgxYxUzFE+oRfJ1eiQXr78C/QhEAlv3ZwPq4siK5sxeuYXuY4r6hbyBEUbnYdpdYl1EdNnVWx1b+50P7gXhHQ1m7abMN5Kq7DFNlSsBUYy45hTHgaKmaeY5AUR7Nv3/mT+deEj9CLk/P4SX3tLzteB1/0E/ntxZBmVHtqiiaIEKl9pjqaIsi9IegSlp2i9tE/hRs/qvgAwii/MozbAmDhxelI449FyiDgk53h29FvODZkvTETEq3FjGKlWTXj1dT4FdGJF+0ZpfbOiw9q7BS8EJQHL3Gg6yuNrMNEAwsmFGrINO5sQ/4ujTpkoZsb4DTrcJhrjS6epcv1I2qxRRrlt6d16QB6RXBjST7UoG/txboEJe69BuhQfOka47NaWMhRg5olskLAZj2R24y1tDOb91d5NWSl9H4evoYOfmsi1fQitM1KVexbarVdpcMqjjBRCdwFvcuDnzav39Fvp9byXEO1/Oc5GRh5UlFsOp+8CUaDeMV1wkbnYCw4a93UFjhIedzOvt2EbvUL1MLtQI4lfySGs4/4Qy72hNuG3IBMU5ovSJXQ3MTuaIJEz7GlI1NnEwXyJCL2ybFZwLyqIlFvwuA9rSqaI3Gv3pbfKNp9SaXzbMKlSQLiTJne4o8R14KwLg9RKJLV41rFecQXB9qc2AIU+y12V3GKyGckLOMVF030bjFbw5puHEl+HOcv9pI8mIe+8ia1S5ksVlGBLWolscBokkKC1wMbg/L6GlOz5Mput+mmJcoOfoLKleSlzHGXMGVO96Me4mDIflarGktaLimVAAQ7M9QwGItHKxLtWfQExlP4tb8JkYcBI3mjb1DHEKOnDrtMZ6s63oy+oJUgdvdYyOq5GceclIslleRS7FkjPF2ACbzdcuqPJ4ttxErGF2norDyGeexCgZL/G/8IMUl2130Xjh0vS0BVdQmwHj/s//3CIXyuo/Mo1uR1v5+n8dRiXgAA/AlGEGRuVvWcufF7P4zNnXcBGPPuhUZRd5HOKlAtKtGoV19hn73rdHoU0R/00cYwvJ+80ABnM6NpzwGxQRV6EZ9ITEV0k1LnrmV+QHE7C3P3jfesJmXULpLWKBThgUWjL4NKVMg5610BCszJx6o8l9DWw+XEtA/yO0nrm0CguZVat+wmz6VmxdcoZttL74v+K9H75QPPTtugdWMG1SaAVrU4oJkVxZd9jG4EKjGI72GSCrAUK37QslLWZxwwM6sCaGhWqldCrfoSpzcJmvL9mishmWcX7TI68/j3HuSJd1umQsucNmeMTwJTUxegaONn5FunNJCGl3GRTRjqC3sTJqVk23l/+jfa3P1X+aeqWADvEbIxbY2t9KfPOv7vqd2NbGQKBjP41otmogGjTxXTv773//pJow5HPrWACTipOFh/CxuDF6wzlwGfN8cK+s7rZzzI87mxYMr9xNgwuW3cD0AY4kRAGfxPejMjbc/nf9kRdYcrWKeUNQRd30qdmTKoKdBHncYZ1W2eyqdvFV2pbUTWRoZrLLTh6kTyKIiFK219SRKFNlJs4cFgtiMjfmC8Ys6O693ffAACTuP1DCL4xhMBufCqCp6YZNN1roiC1DUxA6q1bWQlzE0sLBjRSC9LCPKzEh4KYZ2Mj7osavgYRhpEJyxPn2uYhK6UHajggBr58aW9jOkiFVHomodZoY04+FjXIEpzD28xI9r2A5w5gvepTtUILCZK8BfjAt//xpEcHlH5ax5uJkSN7oVXocw+MpmG4Pw9EOxqpb9EPjXU11Vf4IF+URJICsqsBMWVcs+BtUGpSLgTj2dy5WxlCKC4HIrSEwU+gkGyuU+JjjtdjxYnJ722fJdC7qx0oPQCvURvNXSMJLI89tzMZ9GrHRaF+OJeRrWXNuqJvqEw1bq3uoI6e5gqXLws9miazOsam/ge9yspFkQsKuKLvtUDKmvq2IGlehQ37kNovUZ3ALjUVgmaBYqLqDwYIXcjmQ6jLC+E0XZlJmssSlPcMAoP5uaiQWCl4kBkgokay0fCgCFjNoMI2pn8J3FdQXywLG/hNVeEuzrvfjgABnbhr0+RhGsmwysr/r12Iz3FKaIvUCCi0hM1HXySZuk1P/Bo2/Mht87B3HDhdZSmeFIgK/GyIshHPoBqiLYiUzH1OsnLnWENq+gIjHaai+fkFVeMeRM4jVflorWH8iaMktiZ/EQqxBWnxUCCg99z6Ro6v2uHXPonmeF9rftwLMuxNpINC6s7NbDq5nlYBoglf/sgmgoNPMBdUmPq39y114hluzlj29QR7BQwdc9Wn2kCmXFuITIvIpPy4qW/5VjhWXmsTcRpUECyzd4msjrezVxpnOO92zAzZ4g7a0HFFb7eFcnBMDrdSLmAr55PGZ2ErxX3ZITzsPOocV6KKMEtb0pUvs6DO+7LwaLd7TCPzva0r4WxMw4NuqFiQ6sBqwdT+DG/XZjIlM+IcK4iBmkRA6nIyiQu7H0AOUpke1tbpSL1VkpmSlng1RGQg/0cDiCURwSkl6cVPA0yFkbasiiRGQCUtFbuC/33z47B2dT98sfRugjg+z63v9bdYArSHwv/EK5nBJHyh4EBbmCTDzn7zm3OQI3G+xmP92Nf7H52J7JkEBlPyR2s1oGgjT7wqwRb+AOs7F8v/Dt4K18L3QZ2EmPZZ6Cdzh0FTdHXgMJQ30f2Fz3RwPqHtNo2vkG5QjEGVahYT9eKt0WE4sLcqZQHp7/vBv6+mEqWIKRg/7Ihn1xGKiFGhgtJManXq7P0jnQlgR7TaYF4Lq5DMLEt7tSD8wH4tGkyS/Wej48Q3sCbF8QkmONUy74X//+nw6UCB4ZnOrvFkAXwqka6vIXM24XOMEY+sFMf/UlwIUyl6H++9bVHXBsMSmu2qtfqvv0P3DyrSO7rjxxPpNLG49yKumBn5kQ5H3X66hg6QzaYgnd1OCNNPvVwW2cgVyOd4LtvKMtYHYCIrnCWBiTTJOXcfNQav70JirVK1XXvm8mPi/arL7al6sNpOBv5wYPcR4mUcH92Q675UBWIRiYFe/bwnaWcCVxu/PqjpzL5z64wjJ6z6j/ZYHvO5Ym2bQNyfletUcPY4nB7MpwR2wwoGStQwuDha9PwIUo0SaINm0/UAJXcomZ8mNzt4on5WcWMMRxAp+qwK1+Cn9KFDbWHfpATUn0xj64rhxW7cbxolg3BIpmHyraxep+ikXUUxCr43pXkEfPEwbdtblAh5ignRwRlvKAh0+C5LOP64UB3EoUs1CBav6u5q7TgSbta77e/zX9BFKv/TnM2De5myFLQhcF/UJMq3jWRJPlfUGVTkJh2MSGHgArt8XpzLx02ECmS8skj39Rd8/m90H3QoS58hYsgbuvi+AAZeJT+sfD+vVlUze+x3kZrw2u5YS5S5UBNk8dByVK23nl6AeWXR2SaGfArQJCIEHRbkH+m5tKkGBmBKISEr1c3JtcLdTIY9BFN7lcDxQIqm6kLd2fwiGuldeMxNLvKriGH6KHzKPHzcn6ir0PgKo0jS4n6iQAcsMKAllfL8Sdc7M1i79hBtjDUdQnbdBXee8uWa8lO367AAU8PFdCpe5xnCAwqW/wkOax63iunPSMhGc5KlnYEWujNk5Nl31nl4aNuxQ4tn7gJ2BTZdFLHrVLZqzddkr1ujlnOupaJ8NOK+687mYnSN7YO0pzmMwGXkg5bQs2zwAe6RIZELwxRuzC6zYAoQa3hYFdT8GyZ0sRZ3x1GJ0hGkhW6+X28jzJj4/7uTP4ovttNXaSBRmYipldkYqa8fnJFSKNLvoA6GbSUAdq56l8zgTG3Tzztx67z3vVpyXUl2g03HrnxbsbX19R9r18gNdlYeg6gzuzEzAmDw9D9GCoTjsJBIo+QHNF9GqqqFNOWNNGIvPATNtO2JM0vi8sNqEhzI6gbts3Uw7dNR1gE+za5f1VC9dk+QieIcOmL8ZpdNLrpknnHdlLFWPSA2cCBcpYYQpgKYWbLtRicXYj5eysT7gTUJywfxPTz9lLuprVxX7453mawp96EGnEnBpkD4+huGv2zotOcdvgAkRFF2L5irZYIdESz0wY7k6AWXxlwYYns2bM6JgDd1XtLokhnptASpbRnTbS6skgXutgpCyji6hcSO5J141MI+PWGfud8vLspQXP2Kdpg+TdkfD2DEtyqxLM0dCbygGkvciB++7BZPyTRnaEc43mFbTSQSUbp0rkjh786jBiplofggCJ//Xv/8gVlH7bfFIM5/Z+CcRcpzuY+EI4DdzyotQ27vUYN8ogCcgiMgt2fCyDb/MWagI4/y8XpFa/jZvzsjORynCQjog25gGDnoUWsgE1xC7SZaGAf8Kk12n/UqYrzX0qNR4dAHMmlXk+CTMzDjULKGWG4ecYh5DMyopg5FxMSeLza8TDXtD+f3/xSv4YozMjyoWCBXBoNKP239o/lZLD575ZpigMobnd+GPHCoz3WNIsCZ7LSVbSWcZo2fY3UY7A6hXraVuum9w1XTU61EZYzsURoMoOhRNkGkaNcaULlmtpGlNifDHLJR0/5NErrOwdc1VNbkbOhGPcnlsNwLJ7qLW3rrIuUMKMDtzvJQj5jDPs5hT/BHhsaqSHhIcFKBuANm3sXVUN0zUwURCinyFsCG11aT+KwG8VzNxBjPMiFzlSVrDE7pza0jWUVmUb0wTy69UceY42u0bLPfGGOPVNhYCHAjhWkQEYDe+e5IAkiojoTeONXMygNJV4Izv+3qOEz7/NKfbkJFKTwygoXJGD/BatuF8PGhBAfGOElqlpg+aHubnhypoIWwzkIxDYCK+CYpp8yBHD9x7M03q+E7wazALUc9BcHFb1059DJjXkjEiggTcdmZG3q74R7Do/dksYVXmDyXYmSnkkicO9hGUX5+LdBpjgruUEbmtyWeqYJKuagr64+XUxbIMJewnvIMvNEZmWZ1oNgXuKVFX1w639UCudSb5Kypbs2r1mRh/axqJGW1PboWYOW/GR8zphF4b41e+gmEnTzjsxnnIwkA0SF/hIz1Q4xfaY4y9lGMXxB2qvoWJMzvbaPUk48sNh3EZuFiLWUNzCg3QjV0B9rfJ3ZcSbN0bT2BBdV9r9YXP6dL5HNO4yVYW59X5EFfRqhc70arpoZ0ml7T9YpFmT4n6Vr8aA+YYIx8i3O73Dls/tCu5VIwI0rHdw6UEMugrUwKTOenKN/+0V8oWjpfOHvQbDsTE46el5S1mB8CODSEytdqHZgaAXL1bLd4aA5yu05S7FK42YxlOvgMWLfwq9BnasoHZHInWyKMyECrcy1XEt/eIHSQX8LlpI41qaEbaApkz8Nys8EW63F5q1lkY20kMJi4E49+G8HKagb0D+TPU88Cb79xGx7fcHKni4Oz2VjwHtrhNX9sXBCqoIQjGqLk9i39HTrBr38N2CZpjBPQchWW5qk6NEt+bzlIAmm9V/2CyvyKj1vpai9QB+FrsC1yyVHGLOGE4You1mQ411qtYDg0esJzsgVYJw3ksXdFJeBgr8ofmmCdwwFD00VXL89rUtYbnKOT0Q7bvdFq+VI+J9jHQ1fiQljx0whSpRxdoFyqyKIvF3S5U4asQZUh14j/G4Y7k8b4aTQ3oJw0emX/VXTDuC3j+fG5QYJzCw6CTAnF+NZqPtYgn87//+z4zafj9VRBtKdKdz9zk5OnEFmMPLExjNkWQpMZGq4CeK36jVINMSaTDScDt/p4CSS7eilMV2jJU43ToBsPY2iB0iW1jXH6CZisjYfeQDzOXJcYAGrCvKRcfZlUle0KtxcqoqLgZxwxitqHkl8C5VRiHSWOoO0BFXezMzlU+BK01CHxd88h2gzIfxU1Zw98DmbTwiu6LC59m9+iRQMf2DCAyKpVCuCjBT601zDW5rhm3Jlg3/zR/4mWYdRHp6rWYnsITdBjAQ5hWf0ZCccXyS7WhwKnY4CqNmX7J2f4MuAS/jz2fifPnhaRa35QxeaAACdTjkEdYjIOiNs6R7OKRNUIDMzGsr/O+FKfs+nyQoh9ZhKH+kytjVdpWG3bDluvGJpxvFTlaIV5wAj/S4hFy/7jBSsltBlbwXEW52rptLURUp6lFAB7GHw8pXrWgha81uDa7rx5UGQBYwFsq77tcL19Xf3JowltsF6MDm+n9e4S5Qkl2G3/HOnz8MCcEMwtWaudO3J8FMFiB50QBQsXFj+PrrUgMDSCCGG2PLZR2wsmAbeasUcZuH4sfmwAYLVSL1vl6C5Nlb+jq61JzKat61TdIPvrxJzMNMlUCWPdnhquvXsBmkCja+u4/nxIORY5Ghm1ww8QPqndmbiI9CRpqNdfgvVxVRu3uP1RwUBaOXnm9xKrzi3O9uP6crYIXust0CF4thPTlkxiJyIv3iTNUWUNjXMBLT4WSAQgQyHeUotr+2aFUNjPO9h25dleE6LU0yXJXLnqh0bn+nJWqhWslITDtJkRSKGsT6gg5mggOphN2sgEBGuuIQDrhCv5xpHJ2orlH4GjWLjyWRpV8Bnec7OW2b6i5SnJwX+T0bSap6ZSuVQzmDesTrBYsYFIhS1AJmKi4hu5D3L7CIcHdhfYSfAegeuXY94gV8EwY+ptFBBXwvadXVNrWulC+/ECLH7bzWPG0CY1P5K1BlFbufTSdsKfJdX4TxAOmCQHlOkJPfJg1WGL3vmyVLKxCN3cFgS7t8Hu1IaVcmOXvhPdjgFjTxzWhgUrgAqEItxx7Rpt0YyGZzMPh3IBPAZkDitKx3YFXXqYKnpK0rPa+rpIJxILQAoLmACSE+MiQXDsyOe7t/yyIE/zpRocCcFdODGlEw2GRILWqGw2+VMTvT4QiDeFS0q4XQpQc6prCy64gKyObsstyw+LBQasJeIfSCY7sRegBIJQ1+ExFItxys6EoA2kHCCEe4ZQLaCBeADzAFqm295/3BLgeSpyN/9wVyqbhevVM3deqOJlh/8O3rFaxRySQUpQJfg9EBz++5xWfJ0To6W0+JMrDT2fX4jG90ZYcF5a7m9c2qvd+bMCamH03nONTpWIJ9+LBsm7tKTpVHb+ryGWAVs++iZGt6bFXZGBmuuP/93/9xEfxHu6QyTy2Y0kQ6qAn3Pwp+tqLJVddLVskXNco8mjsIBA6/wso99V2Y5DG/wxP655N9IC5zeHieQvk54bd4AiL3wXcuNqE2PbszbEcmeHEYKjax66xs+bEjcjrMxO/lCNLOyiYrfmmZ4zc4sOtlLg5QusFKPw8TNW12AQu2w2m0/E5ZwpZVefYtIEGM+rlSwSeiUGzFbUaf4kQUCFpLkTm6YSBVs865AI2ohWBZWaYDxC0bOYdtw01MyYLTzETIQXJ2A8BqnLGmh+tgz/EEH/cf4hnXfePqXapddEghWqSqcTdQyJJBv3pHpkKAKOu3wELw6uskDXWt5VRe9XLhDchQkuuOoCZI4Q/lrVkcs7ZMMGy0rHYjVRGnoQRWFfNo2P382AxXza7Ub3di7MpktT2/O+HRg/Ii1+8CpsIoJmTqwA4XmGEZfnxDxlzNi4Fi5OMf0ofDE9NOOXZevBTBBH5zmWlXJ9k/3UnGXH/jYwCBl9ugBcb8ATZ+TpJHrb0za9DEemEHdi8n4YjID93MFks6Ktseosz1UXQq/kvQciSr/7Zvfjo9I+weyUqRYlBokZG1FLsfusnryhxTiIC2jbOTgzCeYUfUiAeRHVgCyt7Hqb6c/FP9ShF0+eCWODDFdAN/AFYWKYT0XLErxamJIIx9pAzBXsWBAGM3Het9XoXijgj/7Qhd1An0GTQ0+lF1OJsDQ35ym0z30c6LQaFQ6sV2iiy6+0BlwBEAWVrKhBEjzS9F5ORWG+CCLRsZ5KeTPDUHk5cqcDsBVHNfoV1A5+6Z48MDoLA5Jwtgl90BgTZvWEnnSbEw0nHgIcg19SolHqNoDDanyIMp3024gorWTLpOd/YwBujnyXSdNChjs6As4eC8iw/ZOYRM+nR3jmz+IoLMRTmHuGWwQ1iVoHohbytxNQYAO25HUDga7uoox/Oqv3f2TQ5qjoKbpSlwF+zxcg2q6Bk4uLsreDrX8kvG8A9/hOGIwMamy6SKpPWKXL3/rKsKwUjSpu2TxstrZhez7MyVJJ9JghcAkDWj8nn1kePH/OECD6wDUPwCTJIlMmfshhUnZnyZFa6xPMjwjXatRclSxGw8YsMRltRc/Q/4RkY2ZQ6AriAtPb2Lk/Sqr+BCCr518WSXicgMcMu+zAeg6D8nG054jjG12y8bmERjVpGd8/KC21G50X37pgqgDQbdBxAqFAtVlwTr4fBpBImuLfIdJwFj39eS44Z1sUIrh0E3dZFLfsEzlqpWAuAL7g5QMvwE+hx80CGpndv5ePIOEaLHWMxQx4AgXI+ziUfhidP0+J3LvZFWUJEjtn6Ydwnismpe2CknCAYNwSG3ye327QpxW2MTgLwYrwVIbfXNaCgK0vydYMMCCjUcXkNl/Is4Psp9bHgiJzqnohL0XNb7fjt1iT2NJ+ES3oc0tZhjh5c3XdGiRL7w8AAKpXH/E2wqujm/ut02zHXl/x6IPfN1rGZPWab4pUPM83uMojmuSlqi02Nm/+h+zb94nnGkH4+jf3o3354KknQAzqSGssN2WpreHaFIv0zKQXBzRHfk/aHl4BzMAEBDQaCYAikiCroTUT1uC8WqNgOudkInpXbOUV6MLb3WQccYpSwf8qOxt4oyrgzCM5Vy5+TLM+m7ka4lfLVnyqLfzStMKZVGptrw3ZRq/7S5dLdss6sHo8LWQFswFGphyJ2gld+o4XEIQG2PVUAkxFc4F679Rhn1VZZp2zWphJnRHsYux17Urg32k1LmqJgv7IMNXFR6d4a9pNgGFhPI2shNYS9k/1mM45Bnd7uySXFGXeUhvwAuAOhD4nb9R68ff0bMKXhk3MXfxLLkFl5nItm7xl1PgB0SK4ga8XHm2szL4DS7F/kdBNcZbTPFlFkZn3EhF4IKFmJtugmhAB9GcCMis9Gq6zojF6l/HRtt/mGJNwC8osfKBL7WMfvm5BWVz8oY4FMYy0SWDPGjPSeTPGmLOBdESRpRPGZCRD5xe/cbmba2VRThU6fAJRvfZYOrB4dUTNajYvT2AYhruldGDtqmwuk6vRm3wPTPQekTCJfwM530fDZBojOA273k4LRIwr0f2qjKVcUfHh3xxe0F2u5qgW1sNs/fEthyKSKJWM/zxMjEVYjh10qkWBtGHiyKTVFKajZ0sTxXEXpZV1cH4ejy1mds3dl2fqPHF1OfuJRlYiRI1NhFcg/J3a+qM3wiL6AlbE6VCHECeR9KRprQxd0VxXmtUPb4Y91mt8QYarDchnaNuizeqscG/UlVIZYOQxv7jXegX1CHm+CIHwXCV6IqPr2bf+h4N9oGy8w1O83gRjwBbORbvkfeWMlJtWKkLEVM3MTChu+uU21GfyqPFXukA0jtNE6U6xbzFOPuBsv5lQE3bUQK4QaOChKeqpnx1/20C69PmF4ZogRmNXh3SewcOV6zpJbYV4w3LJwPd+m45wn3VBW3yvlXBa+sCV1n2QLUVbP2I3ORYj01aHtMaHUqk1Sp2X0uBjJL4gaCBp/rR5HadQwhPfx2DICR3ER7gF536Zk9A40JxAgzOva+CmZgxNrufosmXnwfRkpKzlyqT9aIbMHzbBaSIkmFRx2nRLziCDctK4wfn0Uv0Y6BPyD00G6uR623VbMwrd/7T1X/M6rpitEMCpi/kLnwsoy+HVnJ9/0e02YI10QDJDnEWY6Q8ZjraL7C0cszyPMF8DzGpFq++BLjeJcBbsQ9i3MzdjapsEGp68XNM0/tJLmk0pRaAYvXSJDjkmSJPuSNo0XtrFj11Ym4xta4uXDITzBez1VU1PVpdOxe0ki5YEuJpVeqqcVZZCbVJI+tldI+fnVcIDzyv/+//4Ty/9n17wrTe/FShljIPB9e6xVW56v9wfR9CBGSWr1SsbtTxeJ28RzwLII8TnPv415j4ouIRPTU9+Z4LuPvEXV+vZTizpQ36hi1koF3XjyiZPwIuC4DRaq5bGLr1T7+rAs84FC1FiPMlqDZf6TaXdlMEJ8l5j1k09YNhup5fiOEkMqDkex2VlzX9FnzdTY9WThu5it33+3eRJhauRwn33O5cSLsjB3ZWQClJnfMYX7wssegbbLKwKbOFGZgCiBrqA4qCoC3SAjA7FoQrdXu1PoahP/bmeXW2FQbkjBZH2T5rEHaTZBNLGvylYsYO/jJYdt65DY0Dc8B+GS7V9dHMForX8z2D1GYz2juZmNyMQoX9EI72/yO4fOyaKmvAWb+J3ZyxJMihFnMlKovxk2ulgwVUQjE7x7nFh975iD/OKFH6m/Tjf/xBVOl766UybV10+cLy7ONFbrHbMW4j+CBUcE4kDOuYMknvaPbHQUtu50bn5Dto6NCGLtK7YpnSTR0AqpsCF8iNBPZ/daW8cUJApEsFqzXpKB7+P00JhtaBvFikPbcZgzj7EnBoMmgoBH63eoOHXzNEKYs7JXJqhdkBb3BBx2tR4Dvby3URG4d9AW+TzvmAjaSo8umLQzHdjeegym2EMbXcJjxxZsgIp+/WP3vhyNfEgwB+K+6co985ZJBWXSfYIqPeXVw9EyercVdIZu4ORqjwFil5KAh3/OKI0jq1k6Lhtk+qB6IAUDMV4qKXSGhIsbqbGWjot0pwsh5kbq7JHsod7lgr2xmqihlnS5G4pE2X3uqm4+OctSGkUuMxRgzs4C3SVi7bgYNX512VV0QiHUPRxflDHhK0s4zh/YqdIxbJ8ssPcAS1Mu+UxIv7NDaq+Pirq+I0M8yDhkvDnTnzOrPsPKQFn9uTMAsmq52FOksIHInoFgub/iITN3pCkiPF/JgtaRiKmN1/kU5ncSFakfkWLSpqlDSyy37FUNCaXf0AjXvCpx3R0O0KRfHdk8ooJci1MJbyNKhw8iz5VBZweSju16JvHEjcj1SFgtLH19ob9pk02jmnXCTDKWAg43aLEL38zOYZLSEpI9Yo0KI66hV//j0F77VN9a0SrxUxBPuVzwZmofNoA/u9hmKwOmdY2TfbyBMr1AskxDuZX38Nw4NJ3DyJ3O8LSmH38l2y+4xl3acj6+SMdrItL2yUWqJrprvta/nCKMnZYYVsU12HpnTsMUMyfuuH6B870lKEU3dIxQFMgVW36uV/EHGpx8MdLcXkxWFyULUgJ30hPhX71fc7hnC8XRvkcsmItrgIySwLNW2yFHhn1jMS8aJbGxHszFfCYCbINRyYA2SQIdbHVjo5EfcaVRIh6/UTiMTAYBzjOM2b9xZdzJQnraP2sRZyvBYgeJ//3//r8P+AXceTgG+N2myQYfRRxNzKgE/ODD7dH5VfzKND6OuQDO+xrQfOHoUlhJC0E6Ro5QDKQugCD38z4QiAvp4nXveBi/7aiSgPTPPwkI1MU0I4urAdaJTr0kw00m3fz58BA+rISxKM4sVlnznfd2TyCYCa7m5EbE2Z7aqavKmIPiJzLWLbvcuN1X0KyFIY97OeD6QAesvUVNfs25EQQdqKka5h1+GNTByQT/EeDj6Ibrcd+iPF0aoZheU5ilSe/Lac5t4+CNYYCuN73iQJYxQmlfSlvDuQsvR7OLVYK3lM57yx4u2frx4LfEYrXBFVYX5lA+m4lLa+wh8V8ZgpP+rH9fsGNvIQC5RRs2c2as80eHvaNalQKA8LeI69js6a/EDbREEqdF42EndAP+wvYEwbOInde++paAIvH1TtIJVEPwEmZDtTcUUZTiJo/kk8yu/I1vkzkSoZGzpxBxULwfhuSrGK8xAziIN4B1Bqx6QqtuQlUVaGwugI0cVTA7ERothOSvuJuwNltvWRbJaGWNeJ3zaW1W1GOPDp3Kwqmi0KzwPx7Dk8fqHm9zzUzgO25grHO43Lnh1nD7WOPPVKJRqKMQqMVPc1pFOhJlHPQX5zVT97lQ1YU6ufJiPcLJevQAlyF1FusXHdgqW9dahPElNVTRg67CZ6S6HejS1A3RDbGRbljGS0P64NAlLFoMMeFl2KKgaa64rGA1dfaJUaIWv9QyaShyHIwLV2qD2bPcHTPxfG1s9IEBx1h+Qi4phGtew1HL8Z7xfjbLUGPV9cmGb7Z/TuKoWsOsPUsQl5YULo43M58epp9yll0P+MwqLnr5fsIWm83DCVuSbugRXjD3vWSn4+QarWmzFxhSkvK9nKzEJpsFxURjGGkMdUEQYyLDnN5V3nURaYv9ZpUqGvPfOH82FLwm+iDNbk5n5cQnHXfNC5Owm43hyLfsu4V86y6clHZ+XJsVaTktZF2qrg3XZTAUM2ggS7GCbmRWrCOWxvZ3V673tXh+auxS0mynsTQ71ctz9y9CFqCDEQWzTgHlPhn1v10qknJXcY+OzV/u7zPTI7AGLur/lKt3pwNTyFqwPMRICodoVo/kr2WldGczNR11l0fSVlWm+EQchp6941CTCh2zNRXcCZipeAvBaEKQMUuvzRrS7jMOABaxhc+BRVtFe8PREBAY60Xb0Azzlcg71hzaFaMBNkqe3NthufEu4kcSBOhUGRbELVbQM6Xme5vXpxM6qRLZyyN0bIUlJiyqMspYgpf2uazWLcajbvx6nEHyBLLP2YVqctd2iH74e3T14BUM8hx0Ajk8RotOOqtwn7+NcUiYf33sWRvmVHzpmQ5pUI0zOlEuU0+pbK2cpWd6ACz2XWu6SXPtmWR6ljQEdXKsbO75i2JMtur6TpHYuV0Ak//f//o90TykJjmdJs6C1IURAqCuXj9IyLBhOJ3WDK9n4shO6fSyOW/fAMtMBflJeNctGWXb0gS32XAscHpGkrGNWyy3lHoxhIDSwQLzVPJMQqItXKZD+a651qo0a5cUgMJMdHBCHL9eJQQ8qIWOs0vBc99415FJNAW02qmAvPRMt2aziiljFNqbjyt0Y5pZabtd9/3DlEIAGxqPrSSi5YJ8VwKEOF01Qk7LKbymN1DVwlRiMmxoMpClEVbSJUnTEYP//qXqjbdmS20YQYKTmZSz3SKr+//90ZRDzACDy2r3alqruPSdz7wgSBEFwpJ3TzpU7+sTQBgyWHcq7VsocgAQuF3eve77i33sh/b0G54AOcUtJgiI+jLo7t8DGL0jGN/fEWuW8hjYRD5h8HXuPuYtIjNaeQmuhvil7rLvDagHhWScsbb1qDiZcaAjGtCgD8Gh/JmFn+MHMOdIX/ADigSvtYSMapzu/nUSX4vPbTCv00Ff/SnNsMYf+j6tyNTfFtaT2l/5/DGHoSNNs3X9o44EwDextNJHhaioSpQ0PrjlG/ukIYrL8wg5gGx2soVsm5gJFzX60+6fxfi058jkCbKrYHFC12DlH1O4XGl9IS6FM1sH77EyVIX9tVzOZvUstVRncMO61jbponlOmeSW4BerCJnnYqDOrSoosJ0VaJ9KN1MofEUhvnUgvslV4qwh/4F8IZxkPEzWdlTe5AsB/Fty9pLwOfmg3bhDEubNn011aRSDOhNgOVn/N9twslEjgMfSB+R1/DW8p6pSE59eSP6yH9KCGOIST0uCDSmg5VzcSyiIo/+3VlyT3rNG3jTNTYEFLaNNvNih3Cf87HbW4ayYDsPfrN/xyInu0bvP4dzccCJKXmU1eYA5GXoMHP0J+tZSwfEOr4cksJtzhKokWZiZTwnx3i31/Cg0jOPIuZlbXb4bKWHcqRLhvtN4OitwV2e4bY8m7s75TMo0698xEkZIujCtu9iy30kTo/pSV/iWpYOEmqI/N0OUR0mD7w6qNaWMhnsMTb0CIOHsviLtXyyt9v1+C3+sQs32lNX/jDHCRz3p29PlmzFI04/aU7RKuel6NT8XdG6Q12SLq0pkeiDByCWcU25VM8adcQqivp1cQdTSXd/akwg0LGlYFcfDXK0QflWdkkCtstD3ahN801SqUhGyAvdMpEwE8zMhqSkszLp150+MNfKJqc+yLofQaFlY4g9AO5lL+DdDgyIs77spprI2YMMYumhaRzE47kfTd70Gim9TXJe9nzr3LT0fqBgcacobEnA8lHI3St5wK6qLYGuiZi4tH4S8i/klfxR1HF5+dv1SutOumZHm6y2PXBwp+BWESmmosYgz4r4vyYK9ij2jh6c3cRkCSGy9pE7VoRTU3pC74octVy2Ra5wzWfTqQv2GevDgcat1Evb1t6TFf7jGir5maI1CRC0JssaAMeAWX5M0/faGAyL/++qczncWyBoGFj65VANLyAq+7RcBLo5leaHMN7e2bezRVCBcDOJHYPvzRaUOTDcZai/pAOPe/mUjTTEHnIN/8hDyEhI3aEGQITMQHMqnQhbnhzWGvtyN1MGOLb0wm6Gx39nurzBfXQ3+65rLqr5Dy0MUD8ugn+iIzi97gQuxornROdg3gPJreyCVbXUa7XO2ZnB2jsdSQlusoz9O4Yv3OHrdABRP4Cizq1gWmF7xBU8xWP/+LX90EPGqCBC93NEPM8Q/yA3/5eE7f1SQ6AyB5rjyYvJD+vivgrnZxvxDv99bO5Wa+dfElNCA5d3UOuscncl3qsUc+T7JMwSElmqc/DsDSitk8Ij9PfcfyZQdNvx1BMwPOxyn9iTD8eFpRuwPC3Wy2PkyrBzyY+XCGGUGY3NJd8vhiB9wZ6r7Kgj6DVNj3qV7IoFJpY4WFONmzsMIxIFwp9jREV0m5rJadZxCZjHtjaZoMRvDGIBce8ry0uYR6CQpizYgms0ombkvHKKewKKu8SigPlmIVQde4gGZtsBeub9t3h5/BLDNVmX8kBJGjCoySMEj71WFN9vIZYLS7x7NdPum6y8/BBtSU7jmiPMhDFdFoqd8OL8CMoWNfTbSYWXyAtmLKjM5Wy1SOz9O0TGnhFkRoKdsj1hvRAzh4nQGmBHbdKMwnu7XdujzD5eXS/RTxC37kk7FXHLwDqDw6QL/yPJ4bkG1Ao8YUXXbcL3hgPrK70zx/5BMyh0eWU8mJ9mj+3r+JGWauF1yuuavvL1bn1rr5fxechMh7e0GdoUKHmZSgvBoEjFMPLRESSXzdORHucs8mm1k74k6BLmd0UygSPw4rLJznizaFwoCgPUaP+DdkC68N8giCGczi0hdJh90N4QExzvGU0HwlRtxgXiCMMDG305Jo3UcZoaQSJcbYH4I9ZIfn1hGF8rgVsIj8U777JkVi75OImVJoWkN5xnhOlOAi+tx3dmqNy5w+u/4NGJRL7LW3mDHk7koXX0n793ftxuHD6w14HRZB+sn2JymJfgdHvCT3K4+K+vItAPfXIW0B7Arx20l+XBNH7lMeqyxJIbK6oVPBvImO9I+9e1srHXOf0Y06Hrfii+zT1atnvVP0MCjMYC7tBQDQWutmW2ZXDITt7OlEexOJBit+hOvlhfmhMt3l+GmHMZbr9C/xZii8SGO/W6aJ8EgHJ7qAxditJ1EHM3acx1x6vYX90FLiuVoa7m4P0GAurseOrOJLPvBeQkeqYchLB2Y2MDazjoDCGpfJR0ZIdzRfG6A91xW9ch4PiUZwF25actXj4JyXPSlbkOZGv3GeQ2sgraCDc/2co63P7WyFD4Ni1eRSuVH4gRB6jCCMdIqZTN35DCaspRUJYVgSvg0MYIZfL7dGWooPpKdBzCcYiP7hcXC54eq3d43y11//HX2RuCV9teW4VG1SQKAEzmF7zPM44y4YtFInDeW8W5EVFOVpia2TfQE2cwBCzMlQ3sVfpO0TTxAo5tGsipUgdg2vM4Ar6rjH5kZKmdPg89xO8xzTFIT2jqxfxPFk2Es9EDuNE/52/diOAxIc1EQBZ+Kxe16d53YGUuKgvK0NEx608sdc0oL4dlcEHcufP5nchdMFxlXypiyHFKcz39Cljjv2YAsM650ae1IE5exHeIpl07zfk3kXkvHVgHA8LW/GalyKhfsAdIhvJSVWQU2/o0mxeze2j3e/i8Xenb/3StR9dorP7mlE2AMwKAX0zAaSMhEZFi02dDXtBJ5ej9xU82AQCHsdfdcTv/kTft2HAI/RlaVAnikfnBAVuc2+YVGfe9kyRY5H5zhZ3eYik+0WG7qoPOY8hauH5T1MYEoSrn0j4eBAVzOz2FmvFhR11jWTT1lbjvJ9n2rTTeTXObKYJ+UMFjXPdy/DHjMW2I8R+jbkTnU0jPQ6ocjXYaFAH8dymLnzjg53EkLfegKAfzzJXXNuUnzgYGNFkIS+yohf8ryqGmUynikiPh4r6gK6G++JqsC9sOkCoAXPyCA5o00yoArPO562N0nxtLdIV8p5gc9POo289KdzmYU9MOUNqGZswk7GwNugRjSKZkoiQvEbzFuTiKMw1BycgHDwDMWrmgKKfqJzWP80LegtJqQceQkr4ZYLydvfQskCsmr/jGvuC491A7fCzkNo9nCOF10aywD+sf5WGYoOQD0hIDmPCp/f8JdR13qwzj0B4BUvmmYFGtILA34DmuLeqnRwDDgj+gtcXTNsNez05dQejCLZSA+L0dUcA4c/alJ6Ant+PC4sTen3/DXL/fHdBuHOdevXeX1i4gVDCGd7tGlgcXls+LT2Zkot3MyquzgS5FXatIdLcyR5PZHz1fq6BKhzeTmcEIzwOhMXX1g9IopGsKm3THlemFc70vUskLb9jYz1gvrq7leLvfruu0Df2LiRknc5yA9xdeecI2yKnJWMvlde+BpuwMUH620FAH/vpumPHlknWO5TVvFESWjvv5BoN2v5kOb8o3WTgzExeYQ2BnrEwM5E6wM0OgvNycTrUFcaLXiSwHtMmUb9XnXaykzHsk+9J1Ql1VyN00Io0/2b3tQzVTeOiAU72WrBqGvvKrvQM4KQzojhnTKgsaErLLePV4IJEXds0+ZFmsTJKpHQDFz1/lSZw27dNKlvfE/QVlGeGhA5PPWKS1UPJCV5vtqcoyQp4ZG5uVAwoqJ42WSzbVUZ6rvlF4tyS9Gm3nsFICwfsbFAEjzaZEpI9sfLrdETDI+7BMpkgZgOyoxuXqxG4PLvw7NKpyWRPvmaBKHd8Imf1ZeOh3afDDWhtVGvos8E3wAtmfZQCaVgppiy2z9bsf4WMOkABB5g+s5lNaXxA00n30W9HYgyQX1faE+prJ8r+tQByQb+s6preRri7zkj7Zj+B1dgOQfxZEMc8YwsQgb6qSOvJ7jWTZVM67V2S60XaZVzXjZBUy4tbYvxAa95+IEtVfxoLsYDuSSgEw8AE32eBrvsSvfx+ii3X3I50ype8Dxu1fmcDRGhLVmxCBw+LXSHi4sfzPaCaoMQ9xGM7ptYT8O3xUlhdxfpcZNTeXPKH5e4djXAHAlRuyk3bsxQNA76r2UnNUHwQDeyZEHBAJyDuEgwRmUsO/Dd70f47l7w+70CruOJ56yNDRzBlqs0FNAkHVLZXV/2KiFS2YuwJfShdG/LbvcUOBvx+1Vabwb9k3cDcTzfRAMVBOza+UGgZj6r5dAEeJhfJArwM8eCquWcmQgX3BhK94ImswXAGTEE20MHDujLxQXnQNfFZDiASj8ratAndGi+sTG4ewgF7C/5EDkwx83UE18sdsjfJra76/VQMMEfsk5JnVXZ5veYuQpJ225kWku/+LsVARxajWS0OYyHmT+dKyVwd3v9/QfCxTBUWsBTMVl6NKvQy4ZFD9onKUyzMULOlHLO1dIhDdERE2Lr4XKIpxTJ8KSv5Ju7xoIz+DZrJw8wft5hOVLLY99ie7KUiTx5HmyiMj7WCz4TCJCzJ2pM/5EP9gvirtLAsAEB5+LqK56UhNeOLtYGZN0YVvrMKOLKpD8o1jpazVhgB4JDDWY+0VcNdNK/yBb29OhY1QP8clA5Gi7VLp8rc4BHq6jxkeMVR26Yg7+mKywM3hVGV1joA4Nvw8pQfg7dpG4ksYxpmzhVnzAFwz4hmAheJlLTAvNs7vD1f9PcRey3kyVjDbNF2aRn0UfRfDOMJn9tRdPaQufb/Pkuz2CbD1Ecc1OayuOalo/lO5j4UIaLNqOnI1xbszrB2VCOJPYyBM6k2FMYqSSYhLxAnrHJjAHP8qu4g2h194rYhe79iko/5jf7mqakkpusJQ8LyxR4lAPB9ccg5iu1hPa3HyslK3UAKFxdrTi6Dp0CRvqi4NcD45x62JklshXpuOZ8I0fFIMZzclT18fj17z3Wy9BuFhGlgfbA5oGuEDyHIbG7Zn6/7agi44MTNm6YqjhGN7YRdKfNfAbSL8qpCKGwoRKYu+YKRxRgrw3yAHeJrNaoPYgX72g5NYdPDK8MZOKUauou3QTTVK69Q4un0jdWsK7HVwg7c1bKXLIsa33OFuNG2vGLDKA+5kGAoSrNjbIHKV8y3rgRrCsrzJMtw0dTHXBzIcCWDMx7nr4sz7iB9kFx30zpCXgnSSbgQ/BAGUw11yybTkUGVF6JoRKkQEF/wpVKKucxWpEqg5sQZy1BDQjR6tieroHezlHgOPaYVptwJtnnJGRYJYoDpTNAUfzr//73WsXg7In3DoGXAFIvWs0Oq+iiSlpweH9TDK8hyAdtwpr0EdMkpAFnyyoVz8nCFyHzBYTtW9wlH08yTYvEp+8JSx0htQJ3Xn1hNDDrpq3ziSPq63CYJ5gyiNh56ZkhKpGz07L4p1nuiEguNPjhaWcKHsPy3pdnPJ5Jt0CSEjM5JwE3f3BEbHw3jZx2jpuigXFApNmQph/H+CfukSCAzaLEcDaISpEoB5Jf0DrFnkrpa1kFbYiQIbA0px71PsHZ6JIDzAbHYslPD1e6Ex5oFvdcI3Ysof1KEvfu6kvxasIXZczquwtgTLcktPvxyf2Io1/5Juxw3Av1W/d+M8ElywL2GIJuDZdIzSmpCvzmnjI6CCG72JDnLHUOOz2BdFIGwDnk0Aty0uI7gPgp+ZDb4EI37iHB6TOj3e3olRGNC7CtybAb0adQPBQtfSOVM7PtQ6XcI7yK0N1Q2/OaEXKvVM207url/ExT7v7Rh+Qmw7YMWA3nKuZv+XaO3sYR2BncTSbynk3mXnoBmd0SaMl+MflLNuunsQ4ODiivEBF4FutFCPnuvjHZmds0jVRN+fgWIbul7VurEKhAXZ+0Or6zzvMVi5w4p3nq0j1wjovE4Gr3Zh2njUOXPVEK6adSAj6nwMfWtLA7jhyA0s9PqhgYFLmtbDoBmf3O9QdOLFOH880wDAb73VIE4QUFc9GzrjORXaB/TuJY0DqUB9YxMzQjcEg3OH829XDBb42CATOUdjeAMFjhz3igy2NXdLcLZaNzlzk+YzErBYFdD96hvIBoYyAMNNLdtqn8qbLUwS8jwMlezH9i8DDNrBvem5MRupvFbTik9ExRqVlt9mKlgUTh+Y3lPfcFm/BvNN/YAj2g3952in7TH5xX2zrjrcnRNOJoEKgAk7roPo4vCM8b0pnC+PicEN7E+qkiyIwy+MG9OjoZnweEq3tFXV1iv9s0IgjrueUbqsUTm4Swr2gcJFRe71YIRYSXlxM2/CKB8QyEifIwh+mVQn9rRheu94yO5ZcpcmLvlFQHDhZzogh3R08xlzGWuMPjI2Wq+IjX+xNG2A9wvbfHzBJ25rjOetFryg9G+pgz4iMMSrj2PjArFt61oMR0RRfDLZGGvyV7qODfNiB/4BizGxPDSjef0/kKDzuy529YbpnCwe5YILZaz3e53TJz4qAsIs2j61Y4kLb1+G2qO4x3uos+VzG6Cj8Pk7idoO/c/x0cv5ZpYA5kpIWDD7540S/GepPQJ0yUSGVyrTvPXMe2ZaAQQz52uuS0T5AYrEhYJIyCJwE/8Uj0/Q8MJvNdKGzqo4BtzsF6Z7UpQo9KuUsSEK5w8cFvPTgRPRVr+8pw5r1lg7RNWznItOMJ4TzZcVC3711OA17s0TQmP+AV+e+//ttjIy6Pfn5kerXPmgeJX4/5fFauxNHezKKBd28BblHkTDjllF6bbndKuAXPykuFjR83gOj9jzurpUqCeHLLuSWluy3erflUk7BtlnF1EJSRTr1OJkDQDI+dMA1/3PndV1UXt5/CHHe3JA+QvoUe5aBhJwT/R3eVjGBdtrrksSeND7xP6kJHdE02utcnBWS4pXw3n5JAEANWuNcm0xMpf1NkMN0cVktVLOix4bKmJFSNU/BAGGV0Cuap5yisV3sm3uS8WPvUM+yqd4u0xvYdXFDr7bB9d+P92ks7ycTlU3tdsV7KDjOpUvIMuSvpObb4qEKXOH8wSpYvId7QZmIto74KVebb560ImeUU5ljquZzBxRznnrBiVealmNKYGHUs1AAHvEOKM7IDioDPMfEzj9HMd7L2eWwnjSB4YzlYgUNnaoR4gTRK97g1hKMrP6qMYSYDG9bTaP1zdjBXiCHuqBI9GJ57P9TUYuEHSZOC1HkFCvabcIBLAcB26TgEZnfnTClX94PGft6XZh/syG2o7O28edeA+3hs35BQuriIWlK7jxZZPcZkispaibtoBiY6c60I5QZSjI9vdxa72eyqGvkJzpqj9A/Lb5jeeU4E1PAEoXqiD26pG4CkjA5PU5Gyn5dmDi4qy89f8d/1zFlZCBym2gBA2+tgVnfcLqRZJkCIDzYMk+1VjZF0ufMEiY+Od4vvp3ghjw/TMPjR82Izsd88w3ENB48ch21wH+V8/sjcpiJXCyyGu9GzrK8VrL+rqYmDGDHPlloDXq3LfeBI13HIP1IaeXeB3Om9/rAOk8TZlo4B2RRcC5jiDZuvagMQCMfSeCE+b8KvL5W5DyyvH0g5LatCOh0GRg4ANVaAijdD02qN6F1UF7nH9cK8xaYJi5VXBigXUWif4UuNWg/lf8Wq8vV2DYcdlJnh7vD6cR+P4aQI+lXrOiHc7zXTv/s/TukrZdMViL3esGzZH/uoM6gS9yFBT63gf8RXfmY9s9IG8Uyh/ygKqMO4X2A0urtH5yvJCW0XR3EqyiSqRZwLYD5U6GTfK6fldYXugkHvmvqzU54CUgaBXRe+hmvsuV3l+sEPPlCqb1eVqURTaxhu3vltOConHdESAXnkM+4NlNfUkLir2ezRdsWOMWh5dtEsOBZWsT9FLAItVNAuZ7i8+2VviAlcfR4NHAbQkN4ikHnd59KWeP5J/uwheyU3GFmO18G2+hTMIb3J+w2xpuz1Lz/Unhmzki4NI61pJ74VI2pWovBSZuXC4wO/q4vU2h+LTVNM2eElPiHprtwtAcoWiKEf0hH8EVGqj579VD3zhYn/Qml/zrF7RkJzVcDP7CdXtnSIM3I1rISHt8bj1psKmMhUiFIf/IrompykGEX6A8nxvlr/+eufIbcrA2dxbYI2b9SVGYPqNCNfeLp1Dm0JxYSe4HAFy8jS5RAWJeAiEHgKElVdjPfewusl4zLdg/wEYzcXTOU4q3C6nkQRL+8ROJ/OjvjdxMGePUVsffFYXfgx5jZddqDxgrU7SGfHfe45jgyEp10Ehe0tz6ZWUfnK9hk86axqF2dM24Ao0MgRle2KrvtyWrtu7qExdLYC4fG04JUO3aULn9VeDVA3FRNyJoTUkd0hlmOfotTtqb0BhHU/VtozlYablxPxmx+n8ukjlJafDLoOMPdduGbSy344mZ84O3MXi697wOtF6kphuNLeTV85og2TXe5SyqkolARQeiiTz9ePtvNxfnjpRNBdUXeHEJRvHn+1Z9wKmWSRVRYAWS4kSNThcccqLWcRhwe0ri9dGElOx1ccU5U2BGncRAouIHR8/GTrlbI4x/VvOnGQwULH0PNOIPlEBMtORDxIeO/27ZA2e3Q2xWFGjPxJnBJZXja5rXnedbgjF1TNKR6ULVvkEIUrTBb0ZvV72lEALsRQo26e1UL4XSPO7nWcrWWLQZTguirKyLRemInoiDhLouDEFHvWerrlHOwO8IWRCRsOt/MTsRc0SNUr1F+sdvOHRjZ8UX6atxQOBwJ05tz1oHkYn4QV5+XqOl2TIBYFLw17Kaf/bGaO4aEfiUNcXcZNrK8LmNHK62Sc5J7vY/1I2Vm9vPcBycs5vAB2zudEQr3QiYbhSGsaYqmP5tJiMvo7WyixIPeWa/LrtNiFe90QUkXe9tp3Q8MSG5/Pi4U0wDe5TFb2hcJ3d9UBURzEEnNCnUZ3HbpmFl8v/UDxk9x5pRSO+I08+Gjf0ccKC6R5RlqU61d8qOvy1k0Pd8X5Yy+MZh/tM7WayCC4QSs60Tcyh2l/KeUcia74lP4Aw3JAB5Fn+he1uK+YyUnSKCZNp5xIkMQRvqhgBiRG+E7cRleQ7r28i2vDbfHuJkD7NXBzq1iQbYswCMO4/Beb152D0ZPcsPxWjFqKdr3S1dyNYHtipU6TZL2XLsasH/pj1ZHVaUGZhwANjtO3XWDHXloialUoLXUKnXbF+vdBpY2do3VKuSTuKh/M5X9mlizhTHBzAek+bsQOCrstjjegeRIA6Ru6UAY9DYiKFyogYIDwel+Npa7qPO2aiDOlLgPjYEqSBhUpWaU/lPuugRhQ7rXkAM20u3qyEM+eVfPdm7JgTQyHCLB3umVPlO5MfF3kvF91MEqIu0wYHuF6om5cLiDIb3jCa1zNwXUUwLqU35lZygUzn9Wy7zwyZem+zcjJT8G0qfrWofMZMBtHML4pTL3tn4QWNSrVA8B9JgumSvmmh3UUf7VdBup51zWZ3v/Gc0L7K44cap3/rDZju82gbG1lXRuQzXFsHRxU7mYUubpDLP/z138HaaOrlPDkXw85Jau73nyNUCjDD8pxNutEQAqFNUhx8OpJtEj0y3eSXLTijUe/G1TABU7RXiCzAbgz2HokcH43SviFymQKCxsAC2YnlAyLrtREbH5pWor1+5ixJhltV4Uwaq3omOFaJ/2iefQjYoxkVxDnagfJeWc/SrF8UqKMEfKMdaJqSqxxaMm9h7jHnxqdb08BfnNN0r5wat9s1WTrkK0FHzGZjS2WC2x7LWaGYjryWyXxN+7RGNw64Z7QF3YvWG4b+kPLDZnfnlToKsG0497I5/0BBrFXMnI3Zy9AcjfTL88Y1h1Sp8HjB5C9A4HAWnUsyBU5IZzFF/D+UMpNhyDRATnLM3q2WGQ6gr/nh9Ebx8o7cwEWD0ev0iLolQHjOomywN+l7Kfwt53goTgHo2f5bJGL20AvOkREhh4Kci6+JY+8pyA6uLRtvuCnITYXKpPTvSv8Xfc329UCJJk9qmSl7Rp95WYiad6FeGpEf7zVHN975xKw3vRmBzowF3YwJP5edAxmj6v9YN607JX6f+/2zN41q60Rv4UHvpLeICfJuwwiaW8TWPliBqyCPN+60JEUs0DcduFIzuJa4NCqfhKVXb+5xLt6fkl8sXz+uJaIHsY+TNuJYkJwabEU7mC+Nnl4hboPDx9Nd6YSs069IiC4gKSngyElsNq4iTvjY8fL6JiqIarFwzMc8J5Jj2TiRhHX4jJkzIR8xNqmEpDxGC7urA+H8h73B+Umm304e5VBJiS4FlmtZxA6v3p1eTkH+Nvv3dTXC6UqvvKU0uFseSOGhrZpaA1s58g2sZ6Hd4fw0TZpjg6B9XDejXp6OMryVS8dwjx1ql9GWIn8QGeiKW5IN9CRcXvKvY+YGfqQ9u4anD0rqTIkA8jT1eotyQdFi/vwLnmmh7oYexsT6Z8wvQFaq+207wCL2d0UANTf3/1eyO7Ni3VuELRjHRCYesuODAcn2AjCHK47wBjgLj/RH0KPpSF9BkLiChiXO4i4Js2igc04tGttvbIGLbp7U6mjIxjYGkIc12vgH6t5dg7LMBgHRVsWuLzix8sNucrJDX5LGy3vVqAXc+d5y4Kon1YeFralVKgFeEa43UH8Cp90KbQxEY+RBwMFDBKNYlxeTbaQ6A5nZVA3kkZ7iSCXaKXS3v2hq0fKBhDSwj8YitiX40ddOkjhNY/DVYWjVdonwTL5fMzOX+OtO1sXM1zZ+kKqmkLDiT2MAC8NnGPNxYFwPoDHHvPZJoGuaDKVi1svSgmVWxa4ENRHd/+U+QjTBYJLGDeA/XMiMXfd4xrO70doRnJc7mBLCbGOvsWGoFD8zz4FKRtPFb4ezle3+toRouqhiPHMaQk/o1aB43mopneV3Ttw9wYoVei/9q9//3e9KPxCe1pLQ+Gqq5ozqbFY8ozKNiIt1jZfkMPF3zCA8UbdQHLQYw0tyL60YpNaHnaQwvwIP7xM5jzjnktK55w9E02etSGClMuOIUs+u0dM2bq3IPV6uwisR0uSnKSUd6epgjncFnhm8ndsG6Nfo8t9BcWIwasQjjw1b/cgvFCLFM3+1S1yGl7iNYlkorh/Pfi3MVVFeckbFYD1cHZlnURPf6P7KzOkCrAebls7/bje2tFZx+zny+KDG3cfpxv3G7Lxxy+Qp2TmXS8pd0wQAH5oU1IDWyPXiA2Q/oa3vCq18RK8Wt0r6Ai7WouGaC9Ym1Slkb9YpgeKEigq3COHpptM0WSqP52KD3FxKr1P/waKy4nrAgPI6PTy1PMf0pC40YOyp4IeQQtnI4LHu81CRvAwswgka4Ny8t6rLmj/OWylTJAy8duw4yQQo1fZ8IiCpyKQvWf5IeVCM5dxTG+QKZ8gw1hs2QFs91pBegs+6OFNBGKyHFE2kqCFs4N1d9GbnYUhgAEj0MkqIzfV+QcS8ouFxYy33qRKAy/XUiBd//K0FkLy/EiNTFAs4thF2HGVbMFIWHfsFMsJSlx2WbAL54FtyA5Oguc0FaAkhIUblou48ItgwLfGV06ZppdJmsWctETCIL2Xi8VkTbzHEg+Me63wSDHky6RMLLZWBYKPGo/fVOHgWD06nYwecskP7/AMZ6gZnjlX24e7r3eTLo3EMDv6gtMecWIgRfErWK6DWV3h/AYCGt3gUDmJhGdfa0oSs9XLFJBPHzb8FsgYaIASzpzld4zX86tuP+PXN1GNLE7DPnLp3eGuqZ1FAZmYjaIOwgNpzkIHvEeeDZ5BBvN+IM/wPFy4zUS+U48rWTyXj8a9TS1AYb0iZ2TqWHHExS1uSxecieE+Py0s2Nzm2hfA8yNIrjIrjtRH8HZP7DN6lKSr/wHu33/v4kewwBhowtO4H+ujE/LUuMoRrCoXh53yJuvGXEoOk2P+52gdGBuSwMlQQBG4bkkF//yVOtXquLAzFId2wyOdfy34/xwrNTOJ81QInNFeAR4TICjrHBFVX5JDgBB3v6a9hBNUybajeh+BubtceOBf1yYtO+CXMcDKGPpdcTykXoaNK/k17Zcw6WLsNQ8mDKtJ3i1LovfIeuV7WQwHJcTAkU3GDuzoxGVYijZPXQckegOlccwKRcXSZ89M0aaSavpzKe1CtYm0Wdqs4eS1a2ZknRgsv50x3coehwDrmcVa7oDwjIjSo0MVgrsuvoWs6Miss17CVAaEa7ignXyc3P9YoN7B2V9HNjQlqZ3hDVPVC+Vmi0ERXieIBmeZbQnRoGBpqZOKMb3h/3o7LLFjzJ23vMO5z2mK8WCKTZ5/cDikv/76L8nEojuCjb5+P2yHA83c6ayx38xF6C4OsMcUQKsBC/cfU5gQ495JcH7JRu9JCsrVm9xrlWzElWBV2cqPywg+Zj+0xJidCE+EnydutHzKn7cycAL+HW5VFJs2vV/fMHFWlsASsmYZwSRwJZoeFE2puy8Q1yM/xcpioEgubjau2ZlyB7ypWxPMw+zZTaoy4gf2ZeFsZ4yBHp7gpYgLjBntKZdhGZfK6XJ1zyACdidy01TMuakGJ7TFKLGXM+/OsKN281SNqcJcU8lFUg6ysZGn1+MEa72AZ4lGRzZHCU+DpFPpm5V3wrXNgTww7BDnhTLur90cozdPHhwiaGShYcgrYJZ7Kphf5n/yJH3KU2NWneYJoSVtLufJ4d4fWPkEoW6gMBGS1avwMbLqmx+2k48BLsc6qjkt5I+fs8+t+duEJ5bNYUoCaqTBR1Aa13tnxtRX1/2N1nMvuahpU/gQCVEBhqNubMgZ67+nLugd9a30q1BwfshwYipiJK4H8qxX14WqKDYF4JHTcF01Z7Iw9Q8WwJ9mF2fSK70Cd8j9GzaGGa/CQumFCUGMQGDUy0qE68Wf8GHjIPQsMVu0+bOR8AX3GfZS0vNSJTjExR6M0v/wxjR1EImPPwB28KE1A2mWKitl3aC44TMftldK/l+MI86CHqxw4NAq836n5AisNMyjTqNIufO+Bo81o8DPh9AMjwPe7MmMh/I0g+mBN+CXfYS04kfXfhGQuF5MLTQYMa2ixDEfgqJTiPF+Z/KE56uvvtJ1Qrhpo9j0XYvvYEyUjrsA5RDFiaTBO/kQhWZnm7dTtygIzUK3kCtfm8x42wfcDC5l4Kv3eBNnUndviJn9WrvtiTqFP1rq+BENAGVMG+RGLeZSmgp6gRhfJ7c+sgnlWgG4SPwPt1iPpYIOLyPBmSZQAaegQOz0FbPoD+5hild/r0vzlcC9+/f9SoBirB+V1V2c0c1PAZeT0sgXlV4NPLYzIKywaPb3Bs0gG80reC1B8cLM1R2+pFzMY/wDExO4k2uMYqufLGtR6wRgwLHycFkLNNf4wJyD2z3O4yJ/TvuVBhgIA/dBFDXy9kULgX0TQjgTe3i+SsGj64qbSZYr2Bcqgc+Jo1tH/ehOaU2FxHJGkZChZLrN5mc92D2H18/HsCFDqlRhlW/9Sld38GR6pihhgXGfnCx+I0G5DdvkmBcR8aWtiV/AR5ofOYYhfoAZ7t6+RuYf55OGPdno/M1KAhAOR2dxjx0a7NTXPOZqPetYHln/p/rA5XHymPvFKJp75AHjKkRUCv3ah7ERe3IRz7yYNYd74yDmxsClAMwIgAJw5Gn+lLO+hw+8/i+8muntVOz+Op2gjP1mHnSHYx228UfVYDMRpRrrG3GEa5Qn//Of/+4/eh4Da9WT4YpUZdH7QDmZF0hCShBUc3KLZwOLEy49DG7PoY9GkHrdHpeuhUPbo4WbCtA6ku1aK9MjwZzmvP0nkkqMZge76wUlfkgNcJsPnLiNM0eQX6ZBME7kDRa7MnzPmhwz8dbKj+HDYJiGyHKy6M72cwCbN4b42mnBZ2GAP4rg+LIlJE7/bzosSV2BUb/6PpamKRuMlY74Nf04ZY3MG739C/5YsZV5AkattUSlJTNAAkp8pfMjaU7Y3O0Rw49oHTdoQnGf9lSKo53al5uQmSWzCixiyvvQRaYBNucw51XA3ousmrFayK59AKSL7+xoscc/04w77+yk2G5V3pa1gV/kKIBRA1P4WcrsHRThOMbD+WxV+uob/69I9v0NnRjmzJgHfW7nTNnsmV1Bh+RodDxXZARvgA/E6xuZPK0FOmLVZLI57tCbJVVWN1knHL7ijAMOm8BKmk8DImp3a1XQCq3BfX9CmRLAJT7R97uAY96PN4uFxkRoBj1kJ4E6XjQAdo2S2aqgRBLPVz/ycI8wSN0nw4O9pVSYDnZ+/r6fc36wEX+SLT46qTLfjp0Yx7xHx1x3ZdmA5YsTeXtDZI+7qVffSuOd63+wsbIQdVZeHv4WvLJd09C1pqE9pXmxntCTbJfjyi2DWGIma4ugGdJjnN8G8G2+2AHWPsMs+elaaPCsD8ZyCmLPjGvc4XEA9ppLk7mGA9ml6ncq/Fpqy4r0fBrSPRxkZ4ufrz9ycpZjR70U6QNG6EIHnvvwz99tt9JUrykKALK2p75dJDWaFGwEzNPawk7AaccmiABgXfeTUlUECFde7zVdvBXajgUoo76AXU7GAhxTPzZdNc1wFzP6DYKT3K8yl5/sz27ebn3hfEizwrMLzA3r7oOXMNs+1GsCtYvVos9DfqroqFlcprF3L8TdS62uDNv41bUVAYk1PouqqpmUya9QqpuL+4kMETwxD3DuiisTkh0zAWzOZZPVNj6gOq/IJOR2U31KXAP+7uBddz+i+k2RnG85k0t6aMETESs1krD5r8/wCGl7oxA5vAcDz+UgXLkYAbSxOh2bT4nsgv7BEzemM7ayzUFmYGCbZcNo0m1XClqtZ7XcD/GG4r5Nq0BcHcQYqx7/EHSl41IB1yEfnXtFf89Sx1dvIHKuFQhBWtae5uXBnFeY7MDuH6RS8v7kAWylWyJ4zbloXhWXh2I8uMNZz4CVutW4McuDcacV7rPU+xRTm7D8OoOsmckZQUO+hLXdNfNi02YNBxCe61lCXqxnPLSMdDMo02V+oCkAe6VNdknkx2b40XR6Wky3PtmTh5541+f3JJUR6GWjC2xuUmVhkNyNiNG9YD9fM0aSBSsyoF+BcVwxscf//PVPkNDhXrfdXYJvTVpBeGjc+N0GzeXz0Uj+OnLUj0Lp7+WE8Mm/CHuE4llfo7wYRDKvNLIDIiXrQeQsZpBI92O+4JmS3Zq6OIU1VWAIJ0TtBJL90akH6uL0FKTFZMfNDh4WgT5Zg0tiRnZDiHob4yY0PJMkwnDu8+Nz0yXUPg69RduR2ppFIADxweFp+slRCpGg93ni48DWmM6Qk9WwPtg1jCjrit66cCBgSm8nTQCldJOglPyFiGLYI2xk58hMajXneGaXEM4ZrWIIwlhiQPhQWQ+Qz2IQe7lcF7og6MeGrgSYLnoPyjLjo72kcHlxobmUvul/fnl5i4qAtW0kP9DKckPPMFoqAu7JrMZBLuOhwOPVm3kqCM5hG1zuNZdiB6l8Ug2x16Wh/OK5Noy0dth6XhzwS0WEGyA6A8wuPkOMFdWEZGbUU0ZjSwMUhnaMsx2YkzDEdHmp4C3Hbsch5OiDkx5f5raHuwNcHHDVFn/Zz6IRoDWHi8RNTHQyqn+rhHADkDLRmFZG/zRlX4jtDw4H5wvP9S1KX2vlUFzoph2PKIALfaRraji6GCXPr+uyfZ1CCy+3WSkWz26/Z22zn1zuFo1lQ+r6JuAgYUNxC5/axaVkQxyy9Afn41qqbGReWkkfnHHphjR3lDl6PvozfazU21vGzbBji+pqJsePBOJKHCtzhuAuEHsZ5zYZk24itCaTPZ/PfG0KNE6OUwbYz/BrR7hdRIZnmsHtvP2uR1RpdpopvVIAQuqoZtjCge6kbd+ulLXTC9r6HZCYWTBRZ8+MvjZrwSM4zOE6ECOdqIpKA87cM3PxIiDzM/qfqfZID40Zrk1/Au0ePLg3gx1R3YTh8m9xR+gmsyikAC+/pDmJkneUAcnwKPgyUdDTCgvhovtEsCQvOGuqsXUnjtHWCGfsY6l3i1wvPccHo3fnlFASvuhL4V6t9nqGVMDirvXlGkWW0M1cCx4Xlc6OQ+73tZ4WkAZnju3ahl6axVnp2BAjukTfpzB08HtvJzb1BYThLgZ2vNK2S4jNXlICux4V5WA9rbEUNXSrlhdwu9qaXcZXa83yANPd6EN6bVxGwayJTMZMK88MuQd9B8r0pbWfQos4RthMLnRsp5RqB4NILEwjEbCKkUNeZZp8vcle7V8YYm1Nv0SXstf0w7bdnRnP8WaeAKz8DXPEHiJIq6PhOMRhcK/79L29hkLR+TgWIsIcDLWbvrDLkjdY9TTqTqCTwqa2gf5xWunM4XLnzhKHuzrDVisBOa6WJv2I7mRe75GOiXFB2D5PUbdF/Znt7OTifsOExakseW1onaL5cWRYy+FgqQG4draP+gpmNxLETcgjIcHnxUWp/xNEfcBbuVbFqbPhHE3K1MZpVGTGRk6wffEwW47agWSuJm0h9aQDpgf5n7/+u6wcIcwhZB/up7dI/Mr0NKYWFI7eAyjDFDBDmE7Zc/dZt6rpv4H9o8n9Zs+aEhUxUiD0hqHzsfG3DdpyuioQ9Zoy1+Q+ZNYki2f4lbu/ShXg16TQeMxcR+IF+fGn8ymGdZkiOZwotfLqVLLBKr6nmqmgaMhoN0Gao/vp79P7VXZ90dVBshPLxfl2Rqp4FuutZmkD+4/66dvehAmWbg2lD49UciJ7I5AizODJmDwC2ZX+QSJdjrAsI1zyDOAZKJSajUe9S5BZeBGzYvIzqfI2eZ6ID3hngYfk1Yo8ridcxJmrH5Df+R4cXGaQ/iSXjABbLXpUR/Eg9oSX25ICbvYKQ7u33hexrF7qcpl+/esONXUBnsVyVcOwDPTy1P7n8h51NU8UNd17uSd/2We98hEpXN/5uds67jND5IZdEEyEkwAPcxCRSTbGVc3z2FMGwfjlVbcOMP6PVv2ozTDKIxC7ys0FyKNdnpTRJBzLhT43vmubDZ3pcWaqArBlYbMxTNG35kiJj9KXVok3BCXtbUGzRHKfssEdLhyXp+5LOXj4sDpTORByDZetOkkZYV3qLj6uBAnFecM94PTfCJNXfumYM7oXtqLY0j5JV+kJXxHZH5cL7MJQTwUMfy8THNrFP85R8D63Gfi5pruGiE80QxiEdXFHN+nGZQ+HNretDAeaQEpkfsPjrs6ayVJ2RP0IbuMbC29NqACNlUoQD3hyUkgNP4x+bM0qe5GHhvx+19/srrazpDd8fWSPLtPkLpYbnBzpm8R5MK4vmtz+LlyIhh421ERG0njW8dVz9tuZHrc794g7wyujAqRx59a+8glamDldJ+5Zdx4WqkSVy1YP0ljtJO6BdxeHtHPVP+0cZJ83xHZFHECHyEx5jVA9X7JZAJT3h+PvNa/raLy0vG4hu788LnzcHjQSORpD3HR2EoXh4XfXRnsjgwpMhZa71x/9JpbSaXGvSySVQjQH5Euo9KNBeSm6EU8aWSztFMr8EPZvKxhg+i7u6W1zfjo7fgXp+iqjUsCrC18DK2SSAlGD4VyVD2Bm3QveHlxKgIwxdQIoNqbYNhNP3vkyW25VOtNVh5kWU7BR1s3x0CeQuY0zB2egNZV9XLteXbqNfRJKw4myba+0GRz2PH/sx2kiC8ytYIJnxs9vigtweDdVpm4z9qaJssZCfqbaYpwYG5P49Smqm4uIwtp4vfa3NZc9t6kE7EjnT/m03wY7MBfKKNEAt7vRronF/r7PzVHuOVlpmeIBO1bHxrEETZFHc/OB3TImgqueCt2VhqJIu9Ipj67j5+qruBnISZPJYIO+s8Msrsz6b+SlZV2CTyAyaRWHBN8HEEPdNOlLuVmFM0eoXi3+eGnkQTm7jAggOL+095Auc7TBAbkRJJARPUNH/t+//s8+9RHDS8nv1iippL7BZPg/WdUZ2ZZv6RQe8Y3kpYpMEY9Z6qRu9qh3Ymq55EUMRRX6WjWZ9HkIjZEDRiKmWiXdlHKs049HoY62PxFjHtODe97kgB8u9jOKWbSGM47RzBMJN/601znNeG884sO2B13R+s1vZsrYwrgHQW+PGtKIAqzF9LrG2zPLVEuBOUoljPCLQmsyXQKbwgPlE1wsWj+3b4q0KkG/qJmA1fTRG1DiQpO+U7jZpbdUh6iVGc4FIuDLO/JWVAC7M5+1RbdqvxCy7CM4nJcqdkDTQSE3XB14cRES56LdcxDMCBeG2CG/N6f1LlbfvVRbGJZ4ugDYtbsrAfu8HZi4n6VPvXHwPvreZ64Y3faQcWV9Qdj2P2hTxPBw7dZkVv+bp7d992N06BXKPD4ajpx5KDwaDc+0iqTOtUghoKMI1ojztbTEakAOXJpiKX4z9R8y5QnqTALShvtdBJbiyDtyLm4OJ/KdA5vmd5waOlz2LKwW8Vcp+eOGCUy3OzT0c0QIbftxBvB7a80wjOUj7VE075Uyq0seKNMhCWbOK82CqElBqCmA+gdPm0nE7OHUHFUPhdcYqb1FitkjZwxhDtuJMzydGz3kxZ3QE27x0adneZVN0i5c1kOHyS6SakApHOJmXEillAx2ymC3LMr/T3y1CsV9nSB17V7ywxD3lCJowo9MoHHmDNdC4s0h9Zeqb6YF8NZ8f7XRxS1u3osahUB6z12p5yl9apoygNwRy9FYi0muxd7FmdnNzt0NPk8GzGLjCXQ0+POZp3mw8rWO4m7o3l26yWmQ7hQYpOyY6njKpyODTTD2PSWj3C4Y/xNQo+ednCjdFd8AQw5yHJZyM2a0F7aPE+dARO3ZlDIhXJlxOXoeAEoMy13EPWS6YDmuRsBZDKS7gJVbhPB1pzK40k9J+kKwtee1k5AeoWPdl/sqhOGj85fpdX/A0InqfAdNWQmF8/mslQm0vICcgdTSuEWMMYquIfzCrh6/Ho0TM0QdZjuL5Xvo6Kclc150N8zb9OUlFzNY+yJh4S6CnnOIh67DtG2cQdlioiP+JOg1mDM8rjLI+CcOHZIPUP8QVznKa1TWNbRT6CfjCXJmcsAE4PbghAvxehPiUunpZJJFm7L0e9fNWntq34uTuUV/tuG155/zLxaYObhXT2NAGqrMyBfXkx8/2//580P1GCCFDgP7Cp4MOhynhH0NbN6fQZJoiQN8yv2GJyVAaepU3Qw7R/z4zll5xyWjvyRoE7d+sqiJUOTOFpc79twKe/taL1sfCfftQvR5F1d+b2ofXOuwUiG4WEzVkGgn3J+JBMldDTfcUUgds5VWYOXBhUgzUHzuBa6+L+Ill7M00X0lFi/F//z1TwdhMTJSUzJZtyey+KWprlYzE8v1KAr40nAr+tQFrzZx793x2KJQM0Cloq11oe5qMhZqLBAiwVBEAFtSGo9EDeaYQCTAD23Qh3ZdgOgHQ8Fabw7Aow/uO7Z2hedZyJlqviNX4i49YDM4lzgpCXfEa2bTB63Eoh93Kl3A3J0z+/kDKwGNdnUqkE29JKAzkGHMIuNJsWvPrFh5Toe2laqEKaXNGc+bEXMlxQYcvwXPNWSA81UFsWsiw4IghD/Ty4kWfbXEB0gjU/nA6QvL2sJ4WJCRxIjLOd36FBEY4MaurTQzbxCdOSMQI5iuvcvxuIhd3CxxZjMJ1ChI4e6FNX8LYvcrUeDOdQ/NtDdG46HLiPYr6HosGtCMFhoh5lpG3WAqWma20IjRBU6IYfh6TcpVZFHSTF2n8GgThKDyII58KM+MdnV0EBdS20WyDq0eRmEVs6aEHVdrz5zBpCrK6LBDU8s5pRYVCThslytfPKWo6YCFOMvEsMS1e/C5Dnru+mr8C4aRkK31V2xWqWn6pDAZEl5YhkQu4Qx2EK/GXqthtQetOfF6jr8RyuBPK4e9aQ46nKvvaMB8rgbvkjnjoayD7BVZjSflPOLNIjefN0qWA2VGjQ750vCzuHzpz/fP7kgKQ+lld4Rp1Vodu6niQEJC5llOxQIGUtM+sE/XPAdF+NUmwkTcN6m+lXM23M1QWtAuMcKdcAAvkKYh1fk4EZ8ZHc3XqkSsbqFdrmof0QSUM+GM1zxJdPplqho30nCZ1f2KQJcmpjtsitA5NusMS9G8rxoSow/ByMCNSGfrkNYhsviYJht3dyIKFQj5LS811/a5eP/fpHo5Px39GEI/ykWPQ+pV13u19M3PKbBjulr+j35m0mWaQ7MxxLeaRNh0G87R3Y/9LDyXj0PJJsxOex50SgTSmmMyzy+T6Tper7DAFWQi2dcY8KdwTAtWV5JmelMab3L4oxzLSMUh9zl/hdHbPB9T9iq3wmHNWpqo3Krd+DZeEWe1zEriAVCtt4/0JFHBWUlo2Y32eRJezROmDHKtEEkw3JdLWTg5bkZUnS4oH0QsLMNdwYvkiTtzTkzgXBak40PUTWzcurOO25S6O3HK+SnmfFy6AaXrLYaJ95faqMwXNxW2tRv87sWM9HX17h3qTorwcJzY9iERYQL+yOTBJ0qbu6M1SYS41AfzNSQs92SqcMublUN6Azx0gpoUhTlGjNrsSDeGABxIQ/GM/Y0oVkZVOIopYFUoaiv1djifsgSRkqWDft1FEM6BrI669Oax6uOcfNEZpmgb3tlNHMyJcuD/QgEnv2pUHqyepLMW8GlzBoGV6XUASsgsv604gZrnmqyo9ZGIAn9rZN78HuYCKbB/PfqgI/Cv//tPRXcR6JIgy7a4L3DyNAa1/WLk4P7qjiW5OyyGM+8XOQ30PANTd1YMnnD9Q6EkdCEMzy54HJrE6KDo/5NSk5nas6QJBAZzh4MbDcSubTzM+aqo2FReSIY8oFTnLL84KqJlOJNjISmGuHpMW5MpMWt3uPSIwvHxj7GCzlL7OWzK1TxMoUuanhLgiLckyajLDd0YOtoNVYdoUnxlM3GBnq6Ye1banwoAS49NT0X0WLebUiOWwzdLH/eMceN2FJxUuISgmq7TKuCqXWgrSVd6xCps7hE0lt4hTXF4L6XgAeIm8TL+iPKOsovrIAqgtf6xycSAA6MrTgb/pb0STSvfvQKy6t29gUUGph2GZhCxh/inr5n1ETnnu52+i8NNcourFcc2iKnT5nFfJKLoi97ClzZEpQtFn2qL4Sa8wWDEMbdHDQ6oD2dpj2S3/66BJdfORPBqVDyNpmEMaV4+xQg6TMnMRBoPKaKf8A3mAxhLuqj4fJ0f8RJl3lDfiKzGyT5j9cFbiMFiZqMIpAmYIqJSvo75ezOXgbItalvkAmk9TtAdZdXu+IguOoDnP2AWF6mzjaAxv6j7O9FplJkYT0bb+Kk0Dvp9z2ttWzuDHkIE9Y+nOCwZW8/YdqDr0RcBLMb1Z3ldJnw2EA5tC9/VZ/IGVDGggE+Bwrox4Ji31AcFzCkMsRcpcbkIM34Ede0EADPGlzgDZ0GXC+ktp8GTMsZjrRV2pHKevNnULkqn3zKd9b4KmRKaKdbhS2Qg8LWVl9Gma64B5JUP0WUpwdvJa7XgaQZKkhrQextIRo0UplMRdSe+g6ubtygq0yphpvPWzWa7LKom5FEqfk+B8PbKQqe+E2cyPOX+ilm2yNWG1XWS3VpuaHC18NB78tSCR7LNt6U+oScb/2UJM9mF0Bc6M9gl5667pHaYubuW3qwWlzvQtWKXdrvS4mCuySDs8SynkURhRdKBIU46tykWtKo40Ak56nfZnpbBcEk6qYtv+IjiSLXn8N0FDzIIcnNhS5b4th2knAiro8kwwPlIafzaZJPKiCqjmEgzLvQ71UiYFjDk+jXdStDkgElZABz3K8/9cDIMPDwCcMrUOOZwy8mO/G1ojOIjZzhga7gEzoJn3dsaNE+5/lGEbkbV6RY4BMzywmZWXiotiSvtXtelq4KtGQJH5zv3pUYQlvMp5x7izHUVhiqZt0+8SvsZXiD4XfzmHOpuznSi7x+0Gh6p23GQBJ1jBeVM5s9eTdI2Hy0RNYdveyDat2BU9aanwV3/H2J3NPnUFHOhrEATudro6hztIpsGSN0LxzHVbBdB+aX2YyiYWTcZtk6UOo0daQHkP732eO+yGyUKThyNPGTyi0RK+3TKVJRLVaqXZXzCyF6wFOX/+b//jSY4/3FpgVqoIdRxyeI8Jb+s6pL4aK9JH8QRMV46xUPHjaldcfCtMSycpqvTTSypbQFsprn56a8+VUzrg9RyPBiL2RweL+wIEe1T7fbKx3c+TSk8s7d4XspkkZEI5yfdxsWek11uISyc3hVuBNeLVUzrmNMSHMTNFr56h3ZjeTP4riuLNmG8m6yn3KgVT5dpi/jYmspNug1uD1kYM2p4lB/cFAEg4qUQjKAdZwm3Q8L/O5CNT62ZGeSCPqZ7gWPdazvQglkna+hy+HzzUp67ADkf6BpZ/7rtPf6ALYwH2NnZ5BC6TTr4FattBbZBUW5e8fpz8t1qdhDY7Vp7d6TvArq4C4B3LzjCF5rzGGmDIooc7eUhXHhRiLf9Y8vLg/mDNhFl8kYCLWYkYcPK+OzAn5yV3TX7SJoxeKe1/nISBuZz6DNUWDUf5yIP8wKAzyExOCSusLPncjlnLmTDnUwLGA8Db1OQgNAoDDeTEO27ROF7OK7v0pCCPLGsegm9FxXWcD4QoVu+hO+2GdIOaMls2jfTfVdmzu46Ux773JQ3d1VLXvuNGRwgi2UCI93EiHwMv/KQWdIVUsepleeI1yuwfReaZnxJo9LEEsekjyVJZrm6K1OJ7x0wWicnnuMoxhaxiAe035nUfbwuDX3/+8Rcv+HNLhuGgmqPsNkzyFbe5FX+5CnSfWg4XnfvZMZk0vQljKvXmmpLJsN9S/vhePz2oF/GvwK6C3s6A5a8faGxE/ow1kcSx3foj7wHF+H6Ti6fL46TrQGetercVvLAR7w0l/frkljosmFfXoHiDlEZ4aqlQr64rLvjyfxhW3oTaj0S9gRrQHd5EpNFJQv9AZXgV/I6tk2ivsIbwJ/Lah2PE4BbR03KPseW/NPn07dekVrqZPYzFaWR34x7QC8ZGyzczNvYK8sU1UpYQVp+7Y+rTK7ZIBTU3u2lnEH+crJBPrE7jwkDLIEJnj4NUtohvb5IsTZXIQnDR5wJ5FH//YTTiVXE5NUREqxmXxzq7iouiRzW/z6wZQjpvEGiXKglxw8LX3f4t6c/7FU7DZl/Arm741lQLaeEYRbD++rpCDzQzAnXyE8SXML9Dj74nZMwQvhfH+9uzCRYAaYLw0ztuRPGkmEAoA6D2BiBNT91LWEcxD3Wctk19u4KmNV+19IPTwzvplv0mzELY2i11MyNCwXgfmg+oC0TmsSKIx4GXJ/ZtPhvR7uWWf2Tm5lCGvUcZEZOg/ImeCCsiwy9q2hISjMmcT9JB+3w2DWtC8bqEJUHyGgv1wLN8I5ZSW6Nz/lhYY8ceTfbfjT7gwBjRQIz4yDVIz7FU4aY5nVwI6VwDEz07ciXHgAgVz5L+oKYcOrmJyywMUeS9BB2w6UT1kSjMm/gnPWBU6azaM3b1RGJ0jBi+UGU4luBNz4clpO+Sfog9N/rZ1fZ+lsKy5P1PdBrxj5E11rb+hfPwNmRwAx3W2RB/75X8756GnjC8VbLJwhlbhlcsGDLXBsp9PezkJkOG+yoEFzspZJIOXSDM2kOjg6zOhMTenNwpRNAZa5u4trIND2zesd1nKO8WiKyZYPx3ypeUHepAB/iuMwM3wisLb8YvtXHw/XQ1wOCFHkstTj4I1pE8uYsuc4jQQ0u/XLzjUFdScksV+AeJ9TiuxNphPiXaq9ydp03/WqthWQ/MUHG6zgQofPDg7mJEbIPHW3HmEw/ZnujVfPnD0Jwx324mEPdfwBX/wCEvTpzYoo25gaCEmziGA2KEAg71J4UHH1V27QdrjPVmUoQMm5/xl/uq+W0ASzXvVaGKvgibh6tQ2BPf4CiddbnENAOOLMdyJt0XQArekl+djIY7Jcyw/sNeU+7Z+VMcsrkJdXaj6n2rZ0Lx8829kxG4/Wz9ROuFxEAM/xg5XU8zmCF1mJOrGuexnVQ0o1PnyavxW0eIJIjcpFZRodHRKBMatZQwk185w6j6fEJFanVJ5k/Ut3NSFY9SDHDiz1mRnTo342pcUtl61wbPSLeM8GtrmIukFw6qoyTvTc01rES0Q0v3n26CrOhyWRIfyJ28l7wl/Li9V0n6hyQsTU95O52dRc4Tnyue3HgSUB0fEpJcPnlbVBpwcWaJ5UCKGmJH6YRcPtWIXTszfM+xqIB9kpzXPlEZtp1PlYq41lEpQWzEu1gopzs8WPnELZGDAfmF+u+iEP7ZEU1FEXvhMgAotP0jc6qNvO+EMHvIOOjvcVh2D8pIv68ycm77YZ9JhyrP4mzUFEb0E278KMQIcCtsy0V8hZpmaceB8qdGE2Tdz2vuek9+l/huTmj2DtSNeOKFLGisIAur2GmPsDfCWn+sDD6pzG5idlU2CQzXDQZvS2j6faFFSdjM0XXKotMg5XxalX78EVZoyC5AVY7tev4Mz4Jq5nZlfQ3dOa4p/BypT+M3lhhKS+WDQq1YXq9cwCuwYd3ZY4GytIMiDg89KbBGIBrCN2Tqazs+AQQ8ZNOaqJBwayNb2NHKKxmi2VysqO6nBvvjJzIoRU/rI5bs/NNtahWY+gapjIInpHnCdMmnCE5FlDs52pJzexufvhqMf8ARNzRXN0Jm1UKTpZyeo7FvOMTdRmRmilOAsyx74VLo6DEPxvk3BApvaFMuknC+uAUtd35xKLCHVnj08gXg8egvUtk//MS1Ijfsdu6+V/IU39RG/uzMT/NsznRdYRTYWeV2xVbXHKMqIOY/afgWgjk8HRaOJgeiMLkj0Ki6hkkSCYChr5AKNWE5yhLTIbGzIF0sFiXtoasPLK3enviB9KYE6U7krPLmZNC1JpYxDbTJAQuiJNSyv1JCUpRtfYk9LrT7feQ4BGKirvcZmpI4QLfe9MwcbzsCwV20j/Q6oaGRCPZcHz7gxsTQAfD4bCVHhVK6+PfloPG4YAf9S1zyHOGpMaIjzwuMsExWlo/zHFBQkEee8mHbauV68aTeSiOZ+VSsJgloxzn3MG9BLmbrT3u0kEYxpyECTqhI3LF0yDEci3dpmzcBC7+tMENw+Ir7+KfmuP24HBcBVtrRWIxrh4Z/ZvrsJJXeh9ExWfC7pWWI52Q2JGSpIQPlWJ7M1MbblGKwAmqMZLZBBe25Bw/vmJlhVIadjEz40Vm/V8/oVOFd/bdgNBccniMizuysnCI8+E588H8PzOfM+fDz+Af/HxIcA/04XzGBALOqg5cWnmgyt9nAzpy/32QV4wKu4SGT4ax3F6bfsic6r2+It/vzWt+5bO0Sy20WFtwWFngK7NXZ692sbqkhdEefTWQeAW2tLc2f3qFjCDgUhJ2b6Ksu5+bYQWfym6Ecw32yGgWpt7tR3IQNes4ymrtQF16OaXus8YbDdKz3k3jUkK2I7mbl/l8eBwYEKbecYRmGilpixdTXDAfsb5LTvukRzD8Acf2qEZb8G2f0XwwAA9JnEMcHPjB5dwBA4yOxVktMDiuMEYYn/EoGu7uTrLMJpcQA4/Z+djkmPgeOOTlzfk/QljdiFT2Dkfgkese0CpiQnYviJxvmlNsWDBHZIaSV1rweqABi4swsQNotNMT279u/ydXTqaaBcBDrRYLuDYl23TJZQawmExh+PR57578Gq2xY9boaPe7reXdAEFhsxmqRB+v/Iaks8IXg9RRRn2XYfyq9Y9aS+GnHDCMTLgSNlULLSI37gqMMToxDmSo4WVuiKGDzU5Rsjv9FceuGdZAIl+yKvCLQEvXmnEsoA1UcWk1VqBwhN3AHTGNd8v/fdeOGRpq3aMc9AtqLyiNRcVfcS8WV1i/iJWudnfF/e7VXcUZbH0EToP+ewgc9cK6jHOcDd3pxxDCe+3l3mFLNJe3DABl0aiA4dinh5NhYcVYiKIHS1z4OUhEcxJg4oXwPd+wf0qt7gXaydIvwbCLD0eA2v0qdZabcgfernEfNEkS0x7aEMxPhfOhcYfhBOaD84/hiWCG7sVC0fT75sa2lFlzb7yTObI0EN8g1pYO8tXjsStsuL4VpZFNnx4WB6VkQmjF74Q0AFccr/TG4XwG/xh8Zj4fndE/hp8zB+eIZ3jmfA4P68UmT1wTmIpEIPHpzN8EcrTprupXxk6uQC0TyXEF6BlrJ77rkShfsvwu90QojqzIupvYuLp3reDbVHQWiem4cF/FbPxIMndhLWFCbRLkF1fYjH0wWDET0T6wN23VCQPh7OY3YJU1EWtNQV5EGrTnwagrk1VIL83FhLFBGxxeWmaa3I/RH4S0G42Fch2bdZQdMw4jVa1opSyw9FcSguSJTZ+7mjSA//nrn34TMVSU3bkePUF4hZarM91OmJqZcXhU5+byVhEiWlIG1+zqhnDwUhY8ZPA3qz/UIspbCjx7XqhtDshXKRRS7p/O4Vjn6k8WcxlzZUCPrtGkicR6jmRGMtcepM/MJNO7yMChvvWeMfyainBszuFy+y55rm2/NEiGT6QbCcNsanJN4rBWxa+psdC2Nr56arMX47xZmvFNaROxKcLNCcmP1VbnYRR90qJVzBHfcgn+1S7qMhdhrNM3RlJZGYSZ/DIb/HXAVc/5vs3C7GNgh1Do8t7kmI77zp6VVwCZUt1kK81Jt98M4dp+VIs50h5q7UIkzwcxxyPXxj52ZvZ8uQaWx3n7prhskhwttNojpz3nsN2bfJYRpiW8FoVk+UmsrINyFmOIjnTCwtV0f2WUkozWiy3P8r/EvAyjaB8EU2J5rLaSkC6zTcepkCR47DXRrQKGasijp5X2OemTjOMnpd14rBEUrsDZFP2a4aV4k246/5A9vSE8q0YKTrC2feEWoX+RhM/wwvaOpUmIOKP0nKSATs+sNxiQcGBTIj2bxZDcTpi+jIiayeDATEoaUehFDdPiKWEC6FJLhLhugduXQAm42iGH2puejhXb02LZPSxneP/UnkqDlQxATesW0sVemdX4CKV+Mr+EV0kAKhWoBT7ANYPGtpCyo4ZXnFncpNfc36mKxZhNYQm9ZHv8OIy4ZyaETimqVHZ0BWW4ShE6O3vi2yFYzu5Wp7JjD1tV6AEBfSlXhpiN4W080BL7cgZMKoGZGxMxe83WmZ83hQnw8zq5arkA8EQUOUPpS0E4mNV6/WtqqkjRbRhon21CCPfg9kg2rcW9ZObAvZQxBpJZ+DYR/Oa4sFlTCg9H4sub9pYhcz6s0A+iGLOF7Mn8QapgxGnHR80OQfq9UbqYcH1jyxFB56TYNs6xOFO8G5Ss3btai2uO9DWivr0AsLLNBLVL03E5aQXa7IiDsIkJ3/lW3hIwaYy23rJSd0HtHo53UTIXCHNHs5VTNb91VtD2oDFzBof8fhcH9zvEvbktniDaKvoJaHh294xEy9D2IafUaR7mVNi01DoCsdfyiBDWMydBjiBPTYED2skBL/Ex1joSB990G1ENFeFK2vRdZ4utMMLuxE6jMqY0k908cHDR+7fL4fcmoV/hgPW4t5JwQLtiePRlLpc67vilSt2cYRKeFUj/7XtJXAXiX5MUBjURAIni8d5J0wXe8hNM4w/oWb7qV7J1DoDblyhso9z2sLqv/5A9766AnIJyIoxxrZ6cNJ3D0Dl/sizxAzTH6qTNe5dZ+FybmenMglGnxzZ/bgkvJYfMQOlWlOpUbqamV0E5qwX5nh4JBLTHUu5LEr0jGYXAt358BYyalbCxiKceFjVJLF7NV09bboC7mvOsMK2JdnQR//rr/wjr/ZH5937azsMkr+XymJm0xZxCt3IaPb1RuLX1DazzbyJ0A0DCSbk+B91N7DITY5m9L5Sljl4E5eA+ivBXJ/40OOeoamZ39LOwY6Mo2ZhDNHfX28EzQWaf8xQB1svfzcFeOrcPVdoCKNiD+7pK4h5l0PP3tTMR6daXLTYxYqqF1j1pKDifuVpQvhbCfNwUOhuSMGcGyGKKt0V5AI33xfzBvSi4vnqkQQ9gUBzl0DKt4NzzQ2v3+P/h52tjZlXQiazNbToTHHO4d+czuEBGK+/PdC3/y6cGan8x98YjT+mf+LT1m7xJBaMTf5deUlQaH1qpEFJ9yl6OvGsYcoGJU4UuPXfnAAhBq6+UabB9Jd8CqQHNTqzCLz8EEi/IYWQyfryFY5rF9Rgv3DFFY0jmAsKWWDmYLEw/IOeoQCeEg7YlDeYzVaAH1eqR1hQwY2fg86YagYP7hZe7biqSJJkXP+MMD2uYXIljNdTt+9vXUvfvSdgmnGHcfjf2NJNbQw16yZYFPn8ws2L+Jx0UwmMuXuK7sPplRtKGFPOf9D47n6T0NJ19ecmPCSIjgTsWhpimIIngkd1XCfgIto4UJdxxbIa5gc3hQe+iHLjdg+kkkQM3Mep2Ko9ny/HGh1XWR6uMjZBaSyRH3AkFC2X+22NNXlwa4PgOoYmH7P/JxIFbOpvKO5Jv19tDLzlXv4t/npUKDkHKgFJLVM/bvX7f6v1d/4ANXH1JEmlh07F2pZf1UjX7KiHw1tc55pmGuYhW0tmKfFOHGYxUlnvrJ62DiPWm+Z5Q/0P/iH5aLHhQXK7nI5UHEPZqovZk+6KuhuxNAo0OcjINl6wNhyp2lEAXjl6n6E3AB/g60Bu//4M2kfrFd8QdyHgRVjLyCjPvCbh3+A9FF3Kj3fID5N49M9dNOGmlvVxdb3bZgQdEvVtwG64MEQN5muns5YzJ2EuKlveSAOJHbwmpgVFSOFRMMtjvQI3DqOmFxnqhe4lzyzwEhwxgSIv1JAv80YwQeuAcrRz43ogguWFKFH4kh9FniDaKs0qbZxDzbA5i74OFTlBB6k8c0AaBJzTeaIjYGLU95LfJ2CLzIPYgEMZ+2VJLQLmJm0v3nh0y+udBO8gnL1SaCPez+oQ7L064SOQDd6nS5Pomt1y//8eH2aTYJlwLMyzgnGiM6CiOY37dIf2YwpgZjAeqNIkQHMpvw2Yq6eKHH3s5QEHwIwC7tE4lI0sZD1pehvxt36mUvOOV9uLwSYUyL/ZgEOBL5kdCxyf/fVWimDe2PBOLB4ne5I3rXOL34sGZmmLOLo5N7yNyjyTKFftV2R7aQ4SZd07/dg/+cXFFnVi6MFTq4Oc9kzmEDYBr3RGy24diw0mHPPuBVKzA//znn0iy0dhW/xUR/tHmL80qK8k4WYg9Ha4QijPtYTNpb0aAmydhhCirMobQ2s3PWdhW4AbEbEHviZVPwaI7pgnsg6NpJ8nFfqZkWoENajnwyuJ+pOCs4gtX2LkujWehOQKvDRMKWENTdOoEr/A40q0h+oCZkfKtcrA09vJhNRgWqns3xLKvhnn3lGzIYLTNTYKuHkmM0I1+VyFLxpk9EaSZ9iFRlNox1gihW74jBah9aLNP1dEr/PVjSA0W5tXfEkpktXAHx2bWAXPoHMcLYoyFCs4f4u3sQJAwJjNeidRhY448yQlRs5PSnGhqiUAweE5bisj5+GCu5zBpe4y7aoWygi/q7oXaZuRmak50P1BYeWNTGNL8MgOjlHDZA+Q6QxGY9eyRsVh2aFBem4Qz51X2r3MwpsTi2ENJc4Zy8Koo4OZUIJpBCsRxIR3mI+1KPopBXWWlH2WT19fZEgFdCcG1LtlwTZpzei/UcSL/N9khCBFHEukBqCeTOW0bRyrbbgmheh7LP4RXRHvDsq34KNltAU3GJSR86zrDEl9BhrBhyD+IKtvIPOkEgVp2/ZrYTi+O3sjxIvYLHHbcnb9/fpOsTKkEotAKCvDYN37S1qRSAMaB0jMNeLGIiZlAlOsQd5RSIVXuJIhtAIPV/vlCq7DvMEoIA2+MkGaCC9EABv78maVubNUE7DNAwpX94n9Rbhw9WBauLCwR7bCTU2BmFIYnPK9jpJ64sCdhlFSLjbJJRCU9CFB3m9vQ0r/2QbCNrgK/zx1vOKZVlDAvhKjOjH/eR/Bsyil/hJj4Z1547th7iozqY8GZBU4UkOnOfu02kiHwj+1YklowhxuA2VyM32yyGwPOVJSZRwlT6wPqCnOhM/d7w3pp/15kLEHS4msX/U12Ztri+gOCGa5OmCAM9karz3TorOXzGGcUDs3MQISoKQvsc2D/ljS/8gMkt100gZGrGS4H/HJHrY49aDFGVYFVu1jbY1nxY+Fi5p5gJi7Jyq2msQLByxBnsDqczVfuaYmh+sAjFcJwMt1uFGJGMV9TqzMv6FvghbL6IMCTCbVURCsc699aZyuY09MsAUFaI+jMviVfszuUyJXJ5nRYJFqs0X1U+HrbU6EU3txjn2rqs5YEOwLBa2oL1zMwkPVeIoj7hbT/Az/3TL+7gCHg8ZNmlcRcCbD/szlYnwdaOmLjqURWbXOGv6cJCIvWgQoHfgNuSrdgzKWae8zydKNwaNIMcr0+hVcdlzTJfFg3hTpG+piz5fsc6DLNWKZfii7kNvXgCiazVjxlyjyy7WBltm+QZel449N4jWyUckhuyk4X/dFtfomojE7Mb+2FiusKeRpEEYD8rCLy3MTlv//zX6hpRflxx1Q6oQQXTv99Stgcqbj1MIktOnCmNB8YPhiimfbGZjSkwj+m4imW3IBM91pI49qP7+ZMZ2M90HzmpGn0aKehMCURxHAPGd+iJirGcJwsrnGkCOifrvtJr/yRDspUnzv3bhPntAbLepotNYEnONMPgFpVeSs2ZDdnvNnQJ84BvMDY7XjrbNzUREUzahIu7Uxj8GyDrzWAq5pALP7kId5/WrfjoGmlrvQTxa9mYD7cEbXdryYgnpsBVT4Abxgm7e4bAjM6WTeb/Tp8zq3pUe6yhDO0HvJXctqMIOT2knMtqHJWWg62pWp8wrg6k95kqEH3fhDCyWNI3Rqfysdx1iOFDRduewrCXSwvd9Z+3F597McVOhA45F077w1R694XsfJWMNIVz2gzmoPhMbUjcDSXO2ZWJzp+cWqqwZlfA1TTsspFmUNogGacJFC4ZrxUiJOp+es5irw45/gM4FmB6egRfp0xS1BqbOavPVGNLwphp3IOgMWlPqEnUqhqcL7ciQuOHjDrqPLYSNwc0HgcyfRAR435iqoIqhi4G65Av8sdVp3vaJv1SYVY4MguewqdWv1E0i+IEJGmgRjtd3ifkZ0fTaoNda2EiBuienoDhxCnDiYx8KRCnYs7ZeBMa4jQbvcUNGV4CUOMEXm9GH0xx4sQ8pFHuBEUwkZ1RSoocg7Sx+xsA8wOhlfe1Eb9tosZ5M3G8C60jVox6I96Tvxih+ONuTe1iixQnBAGFgMBEtRC2cShf3NMYPwDlSPsAWd7q+XlLDErQhdEtKw48u5fF0GrpZ842lkyxN54fxCwahgDymEm57+LIUjguXqCSfCZvUxKOJ5sezIUJLWmag8ZyvOuav+wvNN5ZoRLnMkKuDoo8QpTOQiCf9atS++iMZXSgLS7VmxauND5gsXXGtL8uSaQ3OVl0cDGTwB0J2DM2LmM91mcsYqXLfXPI/EcwAEi5FBOH4td8sXnLWvDA8Ogs0akjmaUPPmvXVIbV1RAXxs2f4lPNULsiDYM6tEcyGIrzxYb8cMy3v2pLmbIOdUWUyflyyU/df2KFXkLJCEvLupxTvjF6cxp49yjyVJaC64iHaKje1ZEs5B2zhTStCLO+X1HSokwjoGO9PApYbQQidEujgwvxzsfAa94844U29XtCN/gVlidweW6mOTiq9sfZjnh8COuLnFSa5C4y0NvZqymK282Ok9THKmgk+KDcO3AlOy1O9Q9NhxICyGhKhW456tN6jcoAyAmRpNoccrCOR/FqERNkjEVBpqvzXaFgJ56DqMkaJkj4zoGEVu+oBB3m2Pw45UBKymDmnQGmxT0XuyUKcaut30oHHTDSfgIkJ25KOVuAtGvwbjX47p5nmY+dvifv/6Zysi1UvpjLk4dz1Ny7R6IOHckD7O5O9k6NKrv/Aq9j5OX+TqmFXvngOKp6OjwFiImIHIImfH8cg5uFj4whU1Z1rR7TWQbhdMxzUBj5fG7On77sbeULOmO3FB3A6xFnywXdjGR48TEzY3tK3tYAr6CyZEXmSOO1+9Eyf8noQcEHqYfMn1v3h77q7IQ334fsVTbmyExFgnj9Q/EJ8wwg8Y21b2hvGHc4Zt6WKkSL7n/ejjXv5IrfPharMKlDjJaZe9zhlI1GE8qmOiW0oePUROHp8R/6VumX1gLQj8t5PhPKZpXmxL0NOQwfVmIOopZw4R2YNpUyuN391PySKXpu14ND45ZdQGAyxv+17FTV0usHfQubhwNN51t2DjAFLrJjx06Bjlk5wP5olhCgiZD0/Ommcxu64/ZShNazvuckTY7Jl0EJEOGjDWuivxcII4+W0gyowtH2cbdOfbSfxVnkSp635hOZzMQjp/oiXVFPK0BLnQ0ojFrOgGD2RMwHNl5hH0OzhG5WTGemxTykekp+ycZagweaRr+C7eHOfcuTY4srfrYqadhOFDD/8+hYdJOp8I9SuAc7NdPPCNLoL/0pbSehG4NkmN8obNJ6dHIuAiet2KBaaoZ9bN6GIXKSIJLIt87k/ZWrqb6HcfTjlY/XKuzYV+oMCzNka8ACtkNyraM5iHkqGyn5tD5Gw4hecODQIJFcAnbwsbLxHdkSOvIww5oYZoNNSle7cFR67nXrGszVbkDugklgah3xJ1syKTmi+vOy5F/ZWK7qjI0K+zrM4P6ViUC6g/E+Y71e7I+Is4vqRvjwpBba8rvRhdzcY9mf4Iwo/yIX3I2DnKGJ7PUS/kT5Vp73H5c9U14MituIAzvcvwzMo8X9kEuQe/XMyACsFdXO3KYBiRcfGPyGAeA/gTLgJ3vsPIIAx8CIZIk3cnYWj8igYChxmly6+Bck9mFKMp58Hp1xjJq9nGyngWe/KIc7YoBdM28LUEvAbQK6eILYW9/zCtDCvNt/Zo7NTZKdSpJMtTC11re6onjHD8f1KrHvVq+4o+gOMTXL81mhicwh1/tMK/PYVoAGhdDlFn2CDMwpchxA8WI1KNpYZX8o5Ce1M9JvpAjBKCpDf8d03Rq/SOMeF3fh6udhqz23Ex/+cNHewilS7YBLLkylZAR6/pzsZViIVxQiIL7t11W307JsDergKZqXKhexxSUm3I9B3DNi7gNAiRumMTIUxkBp6BoXPnM3RAOTLXUvuP7qQTFG3CdB3OtnPVdzvTWzM56fFB3eBz2A/k704g/khag2Pz8UikCjUhg7b0DIvLHNZizcRluSnzIN895uT3ivP6goKRkB5bEqwdLuBuh6FQfQwD817//Saby60AKZMZHHtLxZ1hiaq/+2gCTTNkyhK1wGNmLT/R5P3JDEjM+ZpeL9UYdPb5LLsdB2xgZY3BFzg3JuPu/MA9rNfcWaOXQPJonGcSvBUKgNlBaPIWEx4MOqm5LIQnNpU5YvgcwtgKJV2gr2dsxm5ZsX1e4pAV/U1Upqs81UhNkwSG6dG7gLuAr+7W5o94b28U5PkDu06y6IEkrHmnnINo/8dlJp64e6G/xMJpVK0wUpZ18bwPf+mDZPU4p7j4uDkpYoO5jjliRcUmISEAg+UTPdg32F8LhYvF1Ff/Sr5+uhxpoNm7izeSp3LxTe5lNXNl9cYdPM+14n98vK4HcH0o/vcOIfje1ttZmUKuRKdOUC0hrJmE9L4zwaVxhPotLpWvny6QHZAz1yQ5SC+2x5UOHfuh6LKVWC5tm8tnRCmLbdZletGgMonjLXI+Iz8y1Sw2YgjmR1MrnELtJuqImMhvh+J16eI4ozU1upicr4Dp5jEGUvoGs7ELGB1tQCZpHbqspaoyPOgKEEHIBunVk3hAa4EsArhDfeUPEOym5lJRWMp5vP1RKB/XKRr+dmyaXGOUScsIDzl3e62Ko69FGzBBehlnvLwBdqsIIhx2wF5N0kyJ2Y1WOkOiPYa3qaFLw+xaqBwkwO5o66Fof4PDsdJJzRx4hu3f9YhCmRtUSuADgSBdOnBWiM78GOSXVqlph5EJJ7oADUXHJfvLRE4TZgeD+6oZxdV1XzgZ4dXiBWiZ6ExPMcaWi2Y259xMUPvjoiM5Ac8uuHPntA6r2CSBwLhdfEOzGnEWXTOJVJ/4yqYPUsDgQ7l4X3h5yH8IBdyxdUlK9GcGKKoU5wJf4DOznIwzOztoEh6bSTUm7iYnhpc4G9CANhwW05LmyVJsrahcxXbOmfxfaL2z3ceHvr8O5DSsWs4YUfzJf9Vlan7xiiv7wrkAhql0qjXTG384n3zeYaeLQqt5fXPDZ8oGcWFWBivBO2S0TUiMV6mCXWl1tcGSeSd7WtvxHMFmW7lmyeAMZ0/sbE4CWz83Hf2N4nF2tForr12lgyiOBZ+Yx9STHT4YIwT61uWQIKs7n7DFwmLyLc6InaWguBvGT/oxH4BF1d+TKAReGdta12Ua27ROHf0+3yJrW4PqSC5EHgsOUszzWAXvfcpUrthxiemGhNLDCBeClAtLFbsc1cF39GNizMfNN7MXo2XO1SQIdBYNHu1Mts4iDnhExceFHvY+rsIggVH4z7zlxnrCEPqs79OM8Za0F3JcQFjtjOauLaTY1yl3LqIjF8/EERjufU9HsfUEzX2wrRCKPeYFQ42F7gDx7AB7dcgip96AJLBY1tlM0OeAG3HC39w/2v4+Vad4oAmV4ylT817/+myV9y+h0o1TlLnGIdbafbbioeC8clsOyHmmW5uEfVY/SX+/VwYOBA2bUNA0ltP+AFmVW/brLon0P4BQJAAzbJKPK7ZC2o0bJQjObiPxwpVnwOKwTvGnLYIEjasDhvXFWslztpL9BZnwws3P9R8gwS9iPEkqBDVX7kk4e2xOQyJnULkorO1a3RRgurtWykAeMICG7J+1z4Hncy0wcwYvdC6v7S/FoZkR5kHKDR/udGS+aWMxbNZ0k91jcwlv3QsJelvVQUIDEo91zXAxOe1KhRMEc79juWyDrMmTA4X5VPidQ2AWXd8YLo2M1DfaCh21E+buAnqUL/BHtxUKOTvs6zkZtuAiaPTJ7AgBe1B6bBu5+JQ3OVzsQl9BerdbbGcL7KBSRnRj8Kge90lEiNxJ05qa7SDSatSAxX6ZpBES2U3fONELRmcQIMNpNjpUT3gyxQHHoKfpK8I3FTyoqm1mkJHofOOfbtIaBNQm4Mds7q0afwdhrln0JFp8lb9kFL4rLDKWSdpY4FsJmihoj3DDvTJu9lXTOss23LYP081T341UWH5KiaJKgrkLEDdsHhBtR7MAnS/8ynKwROyopQQ9UCpD56o5N25zl10Tv9LpdvyhTJHb8Co1BrbDAMSdjxkNY7mleS/L4gQTMHNlAhO9jWNk0WdeiiGXECMrcyRwiqqTLO2H0HUgRShNhDiwC/sTEr736EJn96sbAJgp7XAw4JsHYSaPhuGcLL4KY3/awuld5es7VRhX6nVQoRGNil6Bj8FXGLH+/Px/2AEvM9lt2sAEB7FUjRgLLkznh0TqF3WQnYTrflTPogqc/PLCHhtQu5Q0R1thHqzkYzOc4PPn7gPaLcZtBjyQUR8RZzfLuOjSV3lldYG0GfL9roAwo/gXmSVcdxbubkUUURcQ3AxSq3dsIkKxyYfxrEBdka4AVSg5xWTFZYaeGCOL7JH4Nnnh2+Rbebmjyz/Yp9AXLPWarIHZADRLv98r8rXrTBHTDnrrJDqDujQ9IB4HlC8jEZ+shAR5EIwlixvWC0pjw3021JYC4YMv1Nw7NHoKKL6T6zJdLRbDRw9bVXzn/OvgDvNKxSGJ+Y2t+ngUbTWnq+frZO4Cw6g4t4JvWzSAYNaVVpse7ZVpCqWHMQ7QXk/6BKdj4IpB3l8O91JG+rgXk+l/qDd+nyVIG45IeCxFfA4ClgoOcHG2Xt3/fKYYc6CYIxMRaXg3hU5pY4AeOsr+5rgQ4vFtgjgYTTwhYvM34EiEbZdOA78+fSRFlts6IXHIDX4wHhOvJPINkQV+2TjRp57VX6N2s2I1Ayu/gMRvEDDebryMG4wt8bsauu4hQUttDIf4y81x23AEgPdDX5wLiAvPj9JF/HqRiWgXiptCWTVEJDfSNMo1EWtuvx5SqaPmU0TloL6hvSlXC3Tgv3gvMS6L1qaimBG4pRiRqjYcxTqv0a18huQiIiYrW9eIfeMqczXi5CcMcW6MSbIYHDwEfrGnIvCGhTIeZU41hxIPC1jPbM5Kq3C6nJac+f/5ijwiMO64gFzx+s6661oOPzaGWjIbxYmw5rWIRa0hoCD7TMO9x1CjPXT9yCZzlEi1aXSa7XAIzKR6dSMsc3nu9YwPh0QMd3JcBAvhzD02XWqcZ8s+owMfPvUdnWg3cG+b6eBf3t1bCtVJn4FWTYJcA+MQ0TCavJ8vnui9AL/QNZdCohFbvShPSWE0zrdNtVCKCu/vm+9czvPfeTdnP1m8a6Crss5Ge135Ogw6jH+VkVv7Fu5YHzgM5mkPVt2Zu9WwOeyfvYjL2vEQMt6N0OSAMvu1ewi84Y6ub8RRc1GYG4iPREzi/kCPiuBDKs72af0xYtSD84B3AWQLMHq3nYusXPsFlxTmaFIJU6hHwOWuRg7sE9yyNz797KfI09yp3QjOIsUepe0eQEevWsWhP0sb7GOHy9b+jTrYtXBaEOaSHLgJPVDKJyXbtO5nv36BpQJnaYK56i7n42rg7GObFFDTsKJaGhP8Dm3J+lUDIEkVulkPw4yWMyXyStxYuyAUy+2JX99PUstkDkQ3ikZWmJ/GGdzxhyFu5qirkraZ5rEtCTfSHs6kWIoXyLffvStWGtCmf01P7AcYOspwuzy9D03n+vqBhPRKH+wN+LKzrGKuIfehWA3wfz7j6kVzJyrLkRjFnzPCX9yuOJWYL7z7OTF1q0o7XWH3NBWx2L2v9z072ksEGpUY26V+4qjoRfBirjYzX6M0ey9EXSrN+7xd3F9hdPG2nO+20ooDwFJP7dSQUxgEWk1UGWiGCkur0RELYd6DwBqkEGwORyBQvzKkjxja13aGxOTykZZCxF6j3cEuq8S4xZ/EJsxZEiOs0KNyrL681sYX14KV3B7rsGiFDJXr+H0wVW0sIu3GMyEMs8I+gjY896ilDDgWNcimNJq/nghkoQnoNctWh6ZhniGO/gc7Zkfl00iuxmJspFbWaDMabAXBOsFwrmQ9Yy/AcB4y93AvOr1INrDwJ5p5filNjY6t+/IZGK51A2gBcHQdBvxmON/mujaOFsPKXmr+vsPcyTgOKr4X9BlLIKEwoUlf/UV7oQv/I+kTHsH79V7szcuAwdSN+m6XDP8/S4Nsgojy1n6xbCRE8yjsdoWRLz9VZsgu6z27jev+Ku/h8XE6Dvbxg1I3NaMYyvsnpGtE9Ml+cG7mvGTiaGXH80ZuwUzrJ87MYyQxYlOf+Mjs8m2ezry0cDsc9+x+zbJ541y5M//r3PzP+5RJyszsxv6n2JsXn/N/jS0kvG5Rklndje2Es+DhlV8bOVdodZrI+4kHTeZvaL0UT6O6P47ZfYnx84x5w7LTE/pNgaHhgnC8ERyZlUidhdh/cbB3KAa+Uw5EOzpRqc+zJtYwY1JXezwLj1Uogn2dCKDIJOrQ5eudSEdw2TtjBLk1nsF92qRcP9wjj0+MMY5css7iKLmOxB5YgyuqZgz9En8iMgU/wbLY1EUieeHNX0ViZ1/SMC9wQQhitcXkiAhvHjGOBKU7WlFaV5eRi7s69K7FJB7/6KiXocCKLzEVT9ajh4/gj6ukG2MpBOgnY73MdPf2lXeTEJdVKMr8qV0Z9e6FIzSCiYtdXhZq68d1eXncoeAFKd3O29mpX1zSIIYA0Wtunq+EhrA2ireuy3hZ2c7BLSGeAeBIRc3+DKYvU8kNDAzdppjGgTVU+3aVj0ex5YUIhoBwXPv+PqqsyGzRjMIJxM4kuyKqRaLyxMjq2kSVX9coa8+fhjwMK/O5KkzZWulLezdRSOQTXbHnnqvQghZyUhkB++nLiUupyjmL2Xa84DuiD2jmEidtQW4OxsDUVT9rhFzuBAalZU68bmVXOJpVLuwS1HeNsS7IRtf5JBMUWh4AN/cnXlQyp4akyOcFPAnuq1jRgQYw2TI56j5EPDDL3yBEGWSTsL5LwYjfsbLdMl7dX0gA89Ifa8gAf5s01Bi7FrZHGVIvPzo+YHfXnSq6BizMpzdk241K5nYqa8WPrSpY4LehSZ15peuLCxt9AavNbyicfqbYpknx/J620zKpxFL8/q6h7cvy3RIj/6MCYloP05ByEI1VwX2KIwcwhccFDil4uBwk61qtrxPuQkqDReoZAwF7txWqvvuT8reUXFO96dHOQk5ERn1RnaTmurrFwyln+MGc4VwWxgeDVApwZeR2DwHg7hXr0NQu+BLV7TkJUS3cznpRL59MesGsJV/2AasEb7nQSFZj6VrujAFFqcWXNyn1zL51YCfGIX152PIvalg7lse0ONTl04ole3KDf+XxMrZ/GQoXRjpoAW2TKOgm+x1EeDEESxCor0kVQHRAIQMtJLaL4/T0g8GVel0kyFfzut2kqb4xxgKpzMIYRPeSL3TRxcvM51Fe96ClAA+wWWdYHwP1bP8R1wXJdYCkZPQ3yryQfUXDnYh0XfE/ShzcR3ZuX6nkveBDGYpGScDjYzN6bPTqu3VluWCq93v+ex83gz+Jb7UaimAAxEe/YCnZUbzWFAXatQ7T0Z2gtKwuZSmSizGZXevnpNGowna/cHMf0L9hBVOPOyPBD8EB005LJ1bVYIDP3mPBmEN5OgOBp0IHkYdABjDvfAiJXDP/fv/7LEJi2QtwkaM72xoyk0OAzaQ02q/jWmzn941GHL29OYVF+6JP6wu2QGX+Lp5bByB+43bGPPGwCAsc+ym7WunRw+VykEzG6z1OmmVJaiPRq9qUt59jBd5aChxYzG8GYGYUGeJJlcRFvGKZOTZ3Oa7IgCZKVNP6kPyIOYy3DCBNbCQcTBrO8Mg5MO9c/KCpuNfcPvGrKmiHYXBAQ7lhq25vgidbkbD+9tPDbRWqfjJnX2BJRXj1TRtLPPFcBKXFlHjN3rSXCxg9ZEPChvoFHaZX4o8UX6cXBcNbbp/BqYaRGy+hwwGPI8lfvOs0qUgKC7gkZLViz6aKBnwudXp69M+6ZMuXRsYnOCDqBeI+NtKViAqrn5gGp+pm9MAW+i6u9dyHt0jaWHswhvdSr9KjlOJk+pedRAcwOzprTDJHo9w3sJb3p4RRuuyyjlOVTAxowipvGa/zpc4Tukp5yHqQ35W6EKZdjEZAHE89hVVozzkAUdPjrdLUmtRzV7h8q4xPs0AyKB62CNON0dixN6bSSb4C+y3/Q6579Biq3No6OjFyqOsgCU4P1ItQxiEDMBnyqEcpREnW8SdZMzLhFZDqgoFwNRTjmo/HqlpyFBDwXVDDOcDL2JT5vPsMjog6s/qn+8/lfaRbloflUupB61yKkj14WdZSMgwpUyisjwU6+HyeX36xTaSuHKcNQNnclRrjS4mdsLmO9YdQb6bYi80OnYg8IteqGLnjUmX8XVumBw8DfDpoDsF3XTGAkXsj1STGdYkZQAYV5BYXnwcwSEo7RYhgR18KWZah+IqO1OrTVjtuWKFWo1kEC3EaCqE+15n6WJmFDWak53WUbQpcKOkOOCfEU6wPNke5yDjFe4Bl6WItYop0VLu7xUOPO3/v9Wm19Idxri2RDxpJvmw4FuLuAl0lscVeEKYYVFTCEVMEjRlR8aYLOVzYjTDE/eheaKPsF0+UqRzYtg7SLMwfUXvM1vzOTqJHfpaQXdHCPr0wZ8O8brYe0oX1bOgRgMIoneHdK0ic4xGjBY7afge+DsbHPHNKMikceIn6235QPwoGuGRJPhabb4RedCDGyN1fAGMMnBnCUh2IlWZJeG/u6z5gtym8e17GwbgOVHLn7H88b6bE6ygyJO+dHEo466SYoA6cCvSlinJApZNxLe3jEorlhld6epQapS443SJmQ3MyRcD3otCugCmo7GmF39RmtGTvj/CNd+MFiJePYPC4XUG5S2VdXuevMCsvv4nMkSJvNoIbRORN0UNYJnxGsmuMQaGRr5uf/E29Doj654sCwk8tfZQsMj6SZWS3GOBcgBkejU1rrtEYMFupoQayBbY7CZwsqxxQB0y+SgScH8OP+5TqwX8jN8Jm7l7GJqZITkWmbPUG8PRbL4f/5938xJWeuvjocrnD25liUbpw/dmj+INCZ7Nr6cQgTaVwUor9480cu42CvaYnDJmhLr+YPKsa+8OOpxTQFU9ExTrpmductaXpZ2gHBhcgT72pWNwtu4K5uyAOuunypmeJXDxtRkOJuB+2KodKjMPWYflo6S8RiT5Z9FAE4CtBxJD8nzCjTTBsS48eXf2SeEXpaKBrstIJsG34jcy8lBeMkA/pO7bmGKEPVrXcqC6F2VPaBPNbZ8sdHIZSK7a8ceNVmMn92BS43JnWQ0XkiMoPXXNTlxC4SEV1hW+MR0XHaddX5AQ8ljBqGW4aGkNkU9aumJiDRz3mlTLSHc9jiCKs7wZU+r4aARi5p+R5wbZCXcjQpUX49RlxXWvy99369SdxM8RLanYlW8DHFb4VEuvGePMq69LST8n8vXRQ9qedwMR+V2qI7HRnAXFpqMhC9FdLheu1IGrhpj6Vj/evQb2sAnJnoofT5tEY1ZvvdNU7xa/G9DP1o25906dMEuwlJQK3TjWDj+qMWvYEZkS5HBWcJlmDz+0LmCSozLTs3+q7U3w9Yv6aS09kihp2rnXnwvxvBfKVfEk7RYvs2Vy4uqzhzsePfcKC/o0LxYXJLSYkoFSOaUPrCTFIFQk7Flziti9lebaZKAXuli1i0H49hbRbTLk7ZEKafsIveFCog5aTLKNLiCZSKII32O8hvLBCe5ckRAOwZXpn7cmiyI6JjkhxsBR6qs8W+hk2Yzjaf+kLVjSyIrlw9M7IW3pVJp/4Ca4qzE2TWFj1bw9IrKRY2otOGPM84AlPCz57WEjH3j3k6Z2f3Qx+bV4RkQZJkx8hnKYU3XDC4cz48pnDyBceXLkHe1bSAA33Js9hdUUfSlXZ3dbVaYymVK6xmKswDp5sHyKFtP33cBMKnXMUExth2qVy9R5xGqxmvvIeOlicZumZ65tGJtx82f07rc0+ilfDUu9YuB6NO9UQOlNGj3jP8TOtmYXiMhXZXliQJGFw56D3flSSjx796JWoSv0VKOFOpqNIynnMo8EzqOLtV6fDw3ns4dFWrphKLTJxuz/S0B6OWwEvh9C6RiyGENphSEgu/upXHbmyA/Qe0fnN//VK5CmBcGJWdZfBBaO/AE30UDZLEPa27SXrat93zsnCw4Cv1NyLG9NM/zBW0XijXKDRAnFAzXhi9Vvacbd5KysnXO1ltXMQXws6ZsjkmOgSNzmb6KyoHBg2kZeWHi+hDTHkroDuXMS0Wb5EcgMKl11PIb8GAiQkd17Ad6CV3s9bqR52EbPdiJq4RxtQLkCeQiJgjfnkxPLmgWYAQWFPsimBPAPxSJzRpGfIcH6oLJKku5zUWyuOEDKBcygGM8YfRcBuc//r3fxkkui/XhoJ9ydjIlsZNDkySUXDicg9nN6ytYzf2SxwbrIQhDnLXDs9qyWT8/E/8j298VTAZWwTDd1MFbzlAjqfusuZKA7bixovxkVOlg8z+yd7Q319CX5nQX/Xa2r8EXAwBnVjtKx0Rn8CQdEyacHAPNpPRj9rpkQcs40f3knBouM/YuiFp24gn+i8SbKbFDjwmeys2VktbQx0O9/oR5C9H6T8HxqB5/5qVSs37RwTm5KXyQqPRAW/meRwapfQgCCj+nsB1WjhRkCoQ23V1ihYLtBUbId/bCxseqF0AL6fi7gXpdaUp3AuInZfk3rqfZdxN4s0ggZqhrsmOd3sS7ojstDCB7edYivXAVqxTMrbv5LospTEZXCHkPq/al3aBpSvxf+7qu3cl7DUyGtlkbaGJBnbB6ehOBrrbIRPBWDukmVlDmtdcIokveNzScjzeDhi5HLPMr2P6aWrZ1jSuRPRdIz8cjREjhRl85gA8x2f1ePFE7s7MzIUGGnWhmWOcxSaQ2OJZdEe415qg5WAlCHzhQOEezD7kpqa+p2eVmxI+WUuNR599iUV5VarK5hjNRGuLvTvDa3eco7Mkcfk2E+CVILOUZwAGuE6iWfwHjRvFrQBTf7bybWMIsfMJ4nIpMqnA1SbkD6havxXk3hDjAapUpcLz6fzdBdf226qBQDic6BASjmh+iVYXWd/nx94aWi4UTZYL8oAvUwEkzQv0PlsXvij57OJi9w8EExGQ3J/rgAxetlY4GO91c1tPzAp0V3QOHAPFUwYWhrghbw8iM1A+LZ4DPXZCg1wfYXfaTa/IJRKlIB8X6Qo9nSLEbRZ1dNSVlEkANJIgbJUXRMTwLZ4Qwuhw5jPEO4t35mO5kKNBWC/Arn02V5Qnt1dL7N0ruz3vmrz6Lma2YjMhml/W9bLU/M9OGt4/agWBg3tMuASPrAYWxCPMyDMprcjchIt/8rrSSeKFUxShq42bWL18UObULETGnpY8qUtDrokSDmvyw7A9J1Bprx1/F99YNv3AHTNPltNpnCKMx2mM144bpBYqebBS+rgKSjpOGLIE0XxUa/NXc4YT671OresDNDhrrKpWGOA1Ycrl8s8CyNnZFZQpxWD3BdMUPnHV8QsY1PrWQgeQGUtztK3mdSp1Bnb930zgmw5MzHyfJeJ6vMsmyPfR5VvahswdKT4ySrQ/W/CSgagz5QbWuyRdYr424DZrERlL6HAJiy+zTMN9nDQh5NQWef6MXAEfWLIRYdeOrEKkFwDMfHY331Gm2f8gR7gTK4CUxmmJGQGkvdqjzZ+mUAK4Y2hlyvRqD8Yd/gGjDSc9+iXuSe8kT9sMj3G2AaaLnrpr7FjUkWhkki/yDTlAw9YmyVNlprae944n1n54KmJTuRNaS4CcjVyugay04bEkAc5CqTjvqMOPzRoyQ0WtkVwNblKYkpw2Q1oNTR7hsgcTJJzVNyN/vm8ngTLslkelLYDVAyUUgK9wHopPiiplF3bSEynji5q3Cr4j6lJi646LuhYXBRQHi8QXVVm/aZqUqcrxX+BMJEmpOZwzXmuhMRR0ZXUtQAN2UHuFsC5vmq/MV0RQmUAR45Hvm5jQ5EhY2CT8BFJgaSN4HBOCeagHW8IdoKRNFDfvELrxP/K6njS6MnGMjor3PwGVmBmTRjT2sEI2npsV8hI+xC0HPWMwRZcuxF0d/gIROkDBLHw2cjBRca4LfroK3XrztDql/f4XoRBFjuSRajq8+EACDhYnyEriOA4Tuk9TbtG7A/KGMfYsq66o3b346m8sv6lyYoXDcC3ZzRLaezwB5xEFGvwC4bUuZAv+glM/UXI8FfIiFrCa4XdDpOZz3UKX9w/dJjlys4D/QPbdQCQ/JHC8dfkQnBnYDIIHI3LmhjW1ggd5EbtNC6bLoifktRGNMDObHAgsvWwu49JmodzHFG0NePiLd6LxEdMol5r2/cdPZlHKYju/esem/7tpxAwjDfFFur84ZqLD3B1vAXZIMUrxiNXSQi13tJb2+w/2QNRRjtyJxgXrZuyWZhqdHoxbjNF0eDwHF+p/TBzrxoTARj8aGK9F4l2WKnPxqkLN5DRArSDouCHsT+S+vTOLYWJozge29cKhs7mR6s9XB/2+Pqgvylqe+MhInwD09ybibxxo+gBm6d6pPn5B6cS5hSkssY7RahuhrIBKjsI/J4SAhxAH1Q494eMii9taGZvqIrouIFxYepdePVtag93HBhOS2RTNSlgdSc4EbtmSazRal1fH3Kq0ducKfSppIc3F9VXa7zrOX2j/rrNhhqArMvEMtww3Hx0E+l3fyKdDW8iEGc358cq7FBTglC0fJC4SMAFCt0uemPlZFCSEseklc5TxPpZ1p1ScYbO44Yrx3PyEtKaZnX++CK8MC7tOfIXCcF2FUiajBCDGVDXtBUEQ9hN3OsuoDg+OOOM9dqdTNTszFL4hwC2jTf6n5nq8DcekC57w0NAgNL8/zQ23A/oZs7MuTmyuYR2XnA8JhDRP5UuofalcR4JYJpucObvfyNPDgzoRbsseVwdv4O8IN26IjQGTcssRmZ6DwkOVo3KeR9qplEc4xlrhFBtrS9wYzuU/7YZLNre4OZOCjviFqXknoQTvAa4UEUWjKJLfr1PhUcVC+0gkufjk1T2WcfNhHWYGGAiVb6icMxiOpVHaNyTHh6J0meV+PzDtWAZEp6Dy7FSXMbnCKD8zwM4CHxMHE26UyFqKk/5PiNm0xElyd89olVVnJiBAoFIs6bUoKlzyLH3mTZXQZ0SZszIg//V//ssyJWOLlU6wLDJggE3fOot+HEczXhkdvlw05kyRQd0qNPsVi1NMOrlxJ4KVBOxbVIpOK4T2xLsSDrsqbaj2uFlUf9p9QbpCSHp0ynEe2hS6XoKzBpoeSjjBXbw3Qo8wPweZdlPUtemjWyBUoK3fxejwthrppIiREI6wjFysRp4o5RWPjiy2dbT7fXrhSBmKJAWctGkzMqMMSl1q7itnFTTC1HiJY2/4elDTLHVqMdRqsAPuLxor/zrfmcmwaTD5TiqzDuac/UHGasDQ6QgrjRRjs87Obt6dlBxEtcJJ6/07ic08HY5w5fb+j8+VxTjBzgo+gcI5p//C55rmpDO88hILQ15mNDJH3qfAZRMG+Rm0bNyG+3PzqX253NKQq9zd/X5lwcB1H2VTQ/ANqvclTOUChZRjPVJWTNTnNdfQD2J4MJvbhibX3oMd8msqyAvjfCzkn5byVDMafDACMdKcTyL1Ys6Q4LhbuMMzsOeF75Zp9IEeokqScKWdmZK8kIp8F+0J1AOmvZpWNz9NUwjwXCM7QXq8dwfc+ub40EfeEufIVv35Gf62MRFGsmB+G2WU2Qu88KSzVCFsfob7KQlI0s8dQo2ISpHC+keNbZsNW/hST+ZJTNG0O43gyHywePAYbHA3f8PmDp4Wz4lJYR5LFpXJRoJpxZpiFsaB8mJh10lAg6sJcTsztRkZzoS4wZIRVoLeDTdZPqptM5rhZaIZCZYDPDAXqGIyPuizjChxcBY3QkF6v6hOkoJtMvpfEtkGkx0ChGVZzHTpbk0rE+1YoGavnlI2IZIZHtPTMrdjF/jhX9G1gAOkH76b7h+7fByO3/ChZCp21pUxXRTEXMho4m8FY2rX03u7WJN7d1dpdqzd77wzNQq5l9ADKMK811NpnMzQFOGvom0pnkaIG2oOA9I3cqvMYk2aJEBG3x12PHSVTXepxceO415evi5T3/bMoxF21r5bYD9SzFketAtz38olri6CMPd+27jKAfd+JkOMk1LHtlOKLSLtYkIeDT1xpCF3vR+VJoA8BLRYzPHPhtVNX0NNlV/z4oyj1j4X2wauTxdKJf5K5ZfC9MtMSWwePUB6hRu4AyHKA9dV6Esw9Ov6iV8ibRvcJTPkHBQw7oAZ+U0W1mxrDL7v5veyDgWsDM9g4BhMJjIarYwte+/TxQyO17YBOzrbGUSEhZMZjXQbo1zI81kZc8fj5F7vbiJI7VXSsN/A3typUFitzp945ALjib6tH4VcwcWDJdcG+ZHo22MOWsnlFDH0E7x6S60AcmbXRRrib2L4Y3v+vLUM/SNY1xJalP0AlP5SbST9SCYdlq44Np3pi+4e2GNwZUlxrVEm0X4XtPUWxMV+wH/9+/819WfE1ejtqxawlRRgVtK9bLswSRjo0tXL9jSXbiaJi9jiOyS50zIce2edJNIQDp6TeLn4NSDmMFxCgKmc1U9GWPXggRBm/HXBVbcCg8lXsAj1nOjwsQMY8mtmsdMJQ8AWlkH2Tz/tAtQV1w1AS/ANFGfo7hArlukBr41UAMIwDPpdLUOX5E1QnYqqRtYJUsgbcY4kU9nM4nv2rNa3bfvvbSo9rLOVYzfLieECx+UTKqVUtgCCDOuuJ0msv2iYt3Qw19jCBbU5oHx4xhrDJ8lvIU5q5k+ZGjKTT5nvgLscvf/aRSZiAPSjo+1TLKeLKBoA8ifL+wdzWdshICuosbMn8datALb+8Pc4Ond2vDFiGRc2+bxweJ4UqiVpoorVoOVpXZDsHSW1fyWszZ02bcNwaX5sO8/MDKWEBoOT1c+CnHxjr1Rs6rZ7Uqc/1brLQkn3+ucL+ph3nfZnWN8D9ohPCm4bXOacH/+S2Q8PYBtt5+CJejPHO90415vG5Ml77w/wyEslSRmm/WTgJOgJ6jks0aUbFMAJA5x0mOv8ZHXICudJi2Ck6/L8mS23msxRLpUe4LHVefhjmwwxaqVhbci0LhM4YRXGWtHrEe705NApHizS6IarKp/kSVBMtzfgwJEt+MHUoANJ4hocRoX6FDnLWf6HV/olPjG1lSr54w/Hk4V9kgABAABJREFU+erTM9nneQmCSx1RijZRtibg8O4OBiGTyxG0c+PXG0eBkB55Y21/iIuZc3VNa0ij99TYT+06tA9ElPO6U61lECnn7WOVaY61CLivOYdvimdMTgr2f1W4SzwOqUV02xk5Xy3vXokEZjofy3N0yeNf5GH0sTuQrL3fm3kFAMC3VEeGDLV7b3MFaM+O3RW5V96m/lXEbT6S/uKy82KAy6PMEqUSudvHcNnTS+AaZyeH09VAef/w3f7K21KYLKkUnnsc4cz5uegoD+fbIMYcy6KnVswZ7EwDKvPSI11ycv3Sz8+mXmCBD3FXDsbfNYuGI/Fz5JGt+aPMb28Yq4Gb57O6nznf3UNisLrubXekAdABvkhF5+EHY4tYiDrfWkS82T6U263W+i5nHGGMTlWKHsnEkjo9VfjglydZZOL/vqVa06/0VjtLfxLCerxTaZC6G29TZGML2idI19ckfIZKTQIHRF+JZUPU8FoGbt0pTg3gwOm8u8C5Ycpu4oNSaevDiF4cUFx9WNA8M7IQTbK6+TpQh8NBHTQgNPUaGRXglGOAPJhLc772gd7uaGo697F3uu2iTjXvmDS28fRz1vM1d2ffjgQlKHPdiOgxmjZzZTwnp73gyTgSBY+WRTuT6Jhh1mSzXByDt1LXYbHw7g+qLUFDml4MgP0JJCHmaP7S4jASIIZNxGcgF0vv6zjbIKTNc5qVsKeZCm9FhsOBDwyBzrEbxewel1vzyB0fxp7+1n8uQJY4iomNhmkUo+STUXO/q/OgOeZwgsNQcwU0J4ghAYTZnOdGqJGiL3ki1oRX+aXbkbMzgww8J+IgassJ15yamzmx7HBSmqmt7+Z1ifiuqpNNeMSjwl7In8N/R35gzKwQs4M2MYPlxhv/N1G67h5vmh6ZYkl3HAU7bhSVcICVmfs6Do0y5l6AL3VSm6mFa1UXINAMkl4D00Yg7Z2cBolC++HNoSrvbdN8iBkAOsAwyesZKk0CIUT8w7ktn3N/PC1a4bvi6A3p5I3LPsFTl+VZpgVWpi/DVq8WyMpIcvcy6ztD/DGZ2TXmGy+H3RZWOzreGgoupd3l6H/+vhlVdtOJLRQ99uXxoY64kPRGz5hc8CUdANHCs4Dn6bP976ISVdG5S7mz1hInpM3ufI5D3Aw0nuI7x2Mro9WccUmIiyGJmeRco4jO0juIyP3FK43DyS5PrY3088mAXQJbzDS0FcX2f2iU0HCjKkvKPIY0f/9e4O6dM3TGneF3zTD7p032dioXo5I65y2XMwfOSL4scVh0P1KxYW0/zNeo2b6ah+gb3CL8UBiu9/3IGrC4HA7IXc3H1JLP/pjaB2JE4AjSLpbWlgoOM+1yjbber20wtrCwiCh9hN8kE6LV6BoKWZ6hgDQlBa/N7kyNR8FHL1A5QYWEy/lpylW4uRdkfFot4mjxiSIghNLMmPkoQ9c9B/6QGch9l8VXo1b0OMLdxwRnMdyBrpDOraBNeyBwxldvdDzk8GfLkC3oDqC1/g4RwksLZQ87MeBQMx8An/QVpp9a11SVfYZlPf/F4sJZsOSm0T90RWxaLwZ6C7ALB23raTWY/TDBaE7mFRGJaqX6Qr1a/oS8X2YsewfSdCePiQm9Fto22MOZtZPQSCCfkiwm0MQPqxMzEZR37zRzc7IKuyWh9ZZXj55suJ7hRG96aU2/baEskvYNNRM+I+pkrSJ1Ft7sd2HDl4SGspyCJfLBfsprtzL6MaHJtTMH0upyPVZweWZwdhdUtpvrsS8GxtRF1SUpesqhPlPMCPAJe4RwIW+yYNK6o/4KaYwuxTucaAPUib/Mpu3C38gDOQPZ/iQJIbXuEue1GOXjBsU5yfSqL7SEiyoSzSnN8gZKlS02Um+rYEVUZPCgisH9LvjBXKy5T/9OMdesnnAL1AM57Ez6yBa5LHPajR8iJm6B5JO25rtgdSat+i/N2Y4GJmFVwfCxTskmmcXY9+bOneJ6kYEk0ZxsYW2qP+/BjEimAIaZcxYonDkmb6KXRFG0TUkiJEcyoX2XMqxtV9jCxPRFcS8OcD3Z4NTnecwlxmN3CGkh/utf/y8DQdNoaInIt40VTb2J89q8rlykSdzNG2/mCR28T02HibDHtYeC6Jl0xiKwyB3crrycg6QRvD52i5L8smqnQcqiTWEOMm4iyEzXQbiJxWvBKNWnMHMk4CeHMaQOgJnsoey4jdOGkn4jlgOCs8jMdTmFoSMTdZnCXScNtnb0AS8tLU/VPgKvvuxChDwCxwaUM+nt+O8W+ToB75ZEauh6gyCvK+BOabiuuNoEcnYAu5Kq5nuriw1LjDnZ3OA7mr87OLs33s8CBjdG1AqRCh7MpTwlKUsZtMIcLiwzs5tQDdNdeXgsSZ1rKLGV85sLZU2Q31Y/vIeGWmMwqcO8irkQ6rZpNq2lcrlQ4GcCx9/9+aMwc0gno45Jve4q0eQSo93YpWb55XzO1Ror7d/7t/1hrxaiRnvVSUM/l3gzLc6MdP+Y+y5wWtB2NIO9JtRatsFVCLxjVvil24RPl1CuCD05/146Ygs19E3JpIXJKw9OgDoDa0mRL5u/TFK80Me9FonnhKz2cMnI2ubxDd9MEBgArBvLJyd7psMBmn2fMVnGPUXX//uCTL7zrIMmYNvN7ggioOtCPYWUSV/LsVMjPdkhLPF3U+k1Mlogu+Ciu0JJqW6W05WCjnAbDdr0ckbdFhYT9Os85GReDBL1AxHjACOv/Cb1H1qFpTszKVY3sQippxhIgTTJXFmY4vhuZh/fz8sBEddI8JZpru9F7l9wokfQQuz5D5r2ffH2j2rBr2P6fOSmox/q/IhHpoh1kGGKvj9JcAyn6s9IpPzq0KiZ6NDiMZ2evSGRiPyLeQQsgkbf9fJp6qq6bjF7v2CmP4k8xOFneaeTPa47gL0w6AeI3RFWuxK+d/GWI8rFj7u/gLBKBhcJfIMIU98aTTp9mCOdPaJfZYqovCyj21gYv6aIp3BCv/lEpilxM8GrNkFiRpOBXR+btEEd7msDKMhqY3VmxWRnagTnIdnb0jtsF2HRh364YJaS0wMEcVv3FIfvhxG1QP8g/ninktnpQAJcXoCTaf9fbxhxnJDxRqM73AGaA/xyDS2qtLfkOi437cIwD55egGeokM6c0ipJk+PAVj8pVDrL86dZ0gQoAm3GPE4o1A0TvrcSnv1duNbQxtMyYhNNMpvZiCwb5iiyaZD+W1fX9PVhgoAILbvjB3HwyJUPmYC4OCsREuXvQ+R5l4FZkYS8kg257KBbm9yFjkeNnjcllK+3G83hdcv1xLph1+RJegFUNDt+iJ7QE0L6pwPbijRSWgOKXO/3VolOIj1MHFSS6jbZww8h1EErBTMHG5svwJtRBR8mqwWbC2SX2HhCOdS/650jYWCwOscnv7+m8U+bndjpGCJAuTXGgof/+vd/FR9O+SmlCnNHe4+yEyBVq/8Ie+0VAb3f3DHYSeXgWMiZttHjcPiGLEMsB/ma/5p0qmhzkkw5hJTudLJIDPRVCovIPJqYnUa8dIpAFzd16MnZpGMS6n4S6uGH0WBwxSPpQ6IbNxL/DkdmHShlK1E634YNaUrAVTbytJhqWJmI9ThSJrZtcJiglkbEgx/RJu1vddEsMkzNd37VyKAlz8Yt53hc2EzgjHDNbdHxItHv+Rp08PslzvX0PwfQNVGwKIcQaNmcytQeY24U6RvBNWuEQH8EDbOSXIuI0UqZqcstT++J9snkb7VqgVmZB3MqnNSPvmUk5ur67lBYDy94CiJoyAtjE1t7HuAwHK+RfE5fBLRUAx0y1eegP+5YgkKCBSPphpL7QLgqLiha51h8AV6zhJCgi51QAsHySfMDyA9oUMcSevvqtfJ/yGt/Fw/Tumhk47LPmHmRSQZDAdX7H1d9c8qFEifyBYrioCUkgbHR3iTGPyV+h7pB4RuusePSk27sjyG13uay3KAn8gGOY8uk9uuKi5JVDKWM7Ew6YR6YtvGkqYC9C2EOwkur99fwfYb7RUccxeFulTUH7MxmaBOm6ZBzgJ05WQmHvrBBNtmzkJjQeku5gA6ejv4Yzwkkc3A0E2ryInU9g3RKiFSljSQDI8cAIEO3mo8P2aV1JYnVcre9AFdRum5jLsWR3iKh4V4H1v1VgOtuU6bt8rHcCEjU7rUtx+AoBF9H2FVjEVFTFXSO0aeAMfnBR/cAfjCa3Ca86Utr56dgCHgHROYYdg3GCmYl0/jO+gnYPVDN7KYbXlMkBJgZS4RGdUwnYF3FSRGuK8BxTVzhWkvzhbQXEHRggSMbmiDd9B80OzeGYeIOTthvGhP00YrgShnsTMDZM6GmDROC9dcpPLN/4cJIFQ52y04RgM7qTpTIWOlgOmNEzuY2ks/GRj4tV+FkQT5hLGSHVEjRsMdS3XsaecZVWw4/kG/EGWbT6ztBpif8GhjPRx/rJ1/ggTLoTMD4m1b0ZR+8y8ls03Y/yLNkFiHkMTRaBmaziqhkT/WEG+3kvPmO1TJZtRx0j0roSp5A4HWB5h+0P6YrzJbzEiJB9gtGfwfTWnf+UQgd6gLeQr3IbUXpWgWzuRlkLEvwu182jxFWn4zXk5qV0Gaf9B95yY1+rpXDMqjGckALhv13+T6oK+cijrTkQoK4uzCm0DLiZk6VZd4UcOH3TT/kkda9XR/cTNuRi9Vl3ZLDKesyxlEuXS4awPD0CfGdQUG+kVrCpBYnPROubhwwmb6JEfMf/yUjVkzYQnxnyLGxwnpbFb+6Mx/fmuwJYrR2Au2IaNBQt0BGsBiaID3ePivs1QzcXJ8V/79//xcDTSMLTDOO4ZCTThrMA1u2xBBSEMh2qZouUs53c9388sAIY2zi2eIqbIQBrx0Yqh1PzAMPlzpfWiiXoI640iG9zniEJHD7QJaSbx8k+BPrnQsoZc0Z6Lsz85uxdj06Xp5EUTMw4Ro1hhmLbd3nW078/Gz2D/TrXuuNT05OzqGg+Q7OpuOpAbdcAdE77H5UI9mrN9Phe2DQqSYdUh9tZlmKT6D5Z+8NmRFGe5mICvfMX/yxlNnS5200m/cqfUKMqnwxXPZ41NfYwz639UlbD1n9BB1trTjCdaeTBopTmppp8yJffqve6NUhcTC1qpRpB1gjT6VkvAzfQVTjEc7AKM6cVbgcCIuZH/uI2Dj+rAhB7zEqtrI2M8DHzv6OdMceOEYzMYHq5rdUSwjwD+NIBHMJ3xXPar9+pd42rBQD5ijcjrOzoFPwtiRjeYmFS9ow40BHy/hTpvNRUlBhpE9fmwtHWh7Q4grn4bijBjaOp4EfqNzjhXG1ifpfYbUXl0naa2kkYzwFrDqfjZcGc9f+JO8G8b8z6KUbj1yuzLbAb8NFub+mSiI5axNY/Pn2rs6Z3WtGGak6Dfzn2EYyA1B0n4UHql2+Y7TRAOdKNjZ2wh5MAlVhcqEppFxbJe0M+RXoSntYWJ3D52rikh/C4hCQL367/c7JY1+B0TUR8nYoxBjvumDzjR5lO7jIEgSQANtBXvKz/t5JUyr8RYoolWhyfg7ZKKcrhAMed+VDhlVrTru0mWueiKoEnkhc2q5QL11+aRNzcrrKIcAQtPxT7r+D4Rb36H+xpoxPSin4yNqLMEhpjysTBhmnnEW4gZwsWhrEg7v84K526dd07wJYWyKGr2+6dpzHhSUH5N/6Dm1pM5jv/Q5LSTxgjhwBlVqgK+4dfBaa8cpAYf44+Ubd2R2UUhUXOqnY3KhMqC7KzUULEWDc3BftCrYcLVYXPK7hOsmfmAe6hbnwssZcAT9pod43nRgzkU8STjTwuT6JOXk5AIG7cdWJUYvgvucux/B2i2wQMDFhXKmZ8QrnNxkjzOhe8hj48EJhMVvaBJBgEYW+c+F16ltxrvYoeJln9EVkhxlz4IKH2Pih+tdbMVjYL+vgzGVeN2CwhAeiQm97eAzpQ21LIMhlcD4xHUDmUZN+t9t2bMtewp5BkcGmwssDnbcLSa6HXAzW56KcCLF3QAeYMm1Kba5N1ZWX58DAATovVNrCQ7vNk144Yn5/u1swxGh+kA1l1zGgVIMLD+Hv1fvbsB65L7so7uZi92QZzm14qrL65Xr9EW2DZzzuKAvOskvR0iTcpFLKExZU9iSy2MYlhYct714oRIIZs0Amj2nk2nD3Hh4JnO/iMEFYbR0xjTWfrgwxkAD/8+//UgreNG4ybZAtY2kiIBXafh1YJ132eccHDwY5o6Yrmqpu8COzIpW51EEiLzqkxY0KdMHTsT7lc710LYfyXkLmyKvvsZWc8n+zY7xgSK9IddBxfv3D/yVkw5j5Lg0c659co3RAmzoCXarTCBvNEHuXM3ZcnON1GLnn7JTE4UlconRrcdlvy/cAYnUBr+K0zMGB1wJg/q6xxxxmJT4/LOFKGXLd2mtU5I5VZuKjgiPCjtA/NJOjtitUeg/bGsUhy2Vfg41ThAutVLlhzczQ7978SqZykoVALcO22cwPOPYpStOkY5Oq/IOIp9SfXapcVD+5XEL/ALm1HRdHVCqfCFlMv93HlgI/6WFzn37VATq8M+UiyhXKOhfk3wLoHBB+B3n6ojolDFGzQ91reKoVshLaLOi5uCcjDAh9lNyOnE4kaCVXFvqSV7A5/7GMFMTg3NCNysD6vJ8afinKcwIdYJlflSAMD47FtoxJ6toxyCEyCngXKBrPlJYZzvUbj3bG2tCw3uAY1aT5y+aOjBeiGbAKr2MEU9OpNOzflptgY3lZ8GaWL1ziJY/KrVXvt/lh57ASirz5IW6YfeCB0LvjOQFs2DbkYzjBJtfclvqz/gYyR0hJB0NkJtphSinCzxujZEpOVxJ+J7FhS9yH2HkC8xZIdbfCTFWiP8ex17VERH/bbPf/c/VHi7Ilt40gCjBS/TSW3bYk//9fdndlEPcBQOTx7RnbUtU5e2euFUGCIAjWL6QshFx+FdF/RCezFbmaWdu1vvcSGgGeSGPcYhruu+6ApTLalTRCyCkIYJkQmylNOB8ztacwxvp6ZNfjxogGwHJEnMGsyf/hXh3ymsqwZ3s2LSGQNyMfzrVvt1Miizme6dB9KgDqANcu85sq4/95wHIl4N6L0MrykOLFTRTcZCffPOMmDnZ1yOveVWpAXOK4xAm4yzw5A7P9jMZPSVkGokwxIbV0+ITuJt/E7aff8LP2x+Im0juBcI8NBVz3ImUBcXeT/QsMHHvvLmeSuBKmjGB9c6b1SxtIeV/hvj1AYyq+FIrJSpaM3wKA/6Gcae/GfKQkn+yjswY8CdkCD/EtIRGQnGDOzB8SEs7gQrOEuxT4Cj2nvZz+Cmaesx+sozvv2nkcN9M4eGDYSMNwcajt3ySxnnPyItyTiOoLMy1ZPWDYCTJ3xhBFqzxaH4bCNTzPk4iZl/dXTktkVNqEeLySwZEMJ9m2YYXK5mD9tB0EU+YGatsWTM8Jc1XuKedtZH530oGjkOHwkLnKRHOClBaZF2XEqo3HcuGVPZSw4Uy8cZD1Fgo3Z51ERl3JDt8BFDWXmPhNa6WDs0eW8yr1O0iPmrINw3y3NDccljNGr1o6T+SvpV/B8dDL4scJ+J1zDgMp7KMA7mHcs3LRVmIPg6IVOg7V9Scy8eGZuahMA1FIhsEKdCZBDNQyIdpgzcyAk6cKOxMOmXmrtJXHWZ/2HXH7i77KDDKJI3MwjB9CMGg+TxTaVbBNThj9+zSErYUB/Tq3uYKyiwMS/FYRGBGtOvNzScq0poidZR0avMpoYR825aO4FHB0IdrXhDIQRgMLcICZmmV43UxrD4vofPF9ZQhizjmkdBJHLKr0L2BdxcBDM/fHsAgYHt/OqkwUsC2ciUZp5pDeUGxhE9qPh3itxcBIpxtkHPVpv8tyWiJZ8QgLuR76OfOirq/hxNTddXKr9GD2M5b4Qwdkt2Ay82UgMMZi5fl8Qtz6Upw8pgPaKMm8DaNUk16wgMWdOgIv2rkdIYs7PBztJ6NlbLP7t/wd/A+4VpkoybL1AQLkTMsIgq7trYwxGNNXSOtljXa2dit/M6SdsPfBrGaKgmbI4SHmmNk4jdmGQrjA0ptCN99Weo3TC22sEmwXCQqzb2OIpzsHBE/OqE3NQmn2gfIJEIMI3XMLw7dafJHsspozXpwwOKkzhodnOEfkDoeuFVpXrBO1lzuBsQN2/eYZ+bRtGE3hjs+kd7y9QhO/wBKNk+dgF2P/FOiOYQRD6ed8C7A9gD1VzJ0C1DWxsIUFIx2OzwyHnDU31vfRrK7ECoOhABCY1rSPk9XuQy+i4KhUhTGOfyFjmZN4aJ8YgdDYa2c7c3fM90A4Cop55LfgiyYHLEmqyX8m0UQLT0HKj5WTf0Ty5MwfN5Gk2Vm7wr9DYXpNSXAxA3ocG7TE6mL3Ys3mhf8AprBnZngKR6n2f17Atd7owKOXUmR+vnNiuv5tneHrucPd/e6utMghEFCOSGmNIfQjGXtVDSzG3QRGaIND3xCQ5YquTb1Y4H71173f/f61V7u29vla4WPAubva735H2F2PmWE1yd27dD0AEf/vUjdvG0gh1ELJCV3JF+tyawyqdTSrz5DThgZhWaci+IR755uSRkqPAwApkscPfmLymfbKPBrA5x8RHdtiQuYJXbPL5LlxcRiO+HOEWkgZzVd3JMU7+4UTJzBc01MEjr8jk1RUo4y9ggPe8N4k6+8qGQkUHeAlEau766peu5uq7a5ukkbcS13mDOAi08lbQstrH/Qy6/odWw/Dopasjl/GP/s7bsl0PsIR+Qu7yyzRtbzd6BLDIb8REilDT87gYQwm70I0CcGgaCrZ0tMuGO6O03MjSVqwSMpdADgHOmH8fBnPDixW9ttiIN+rfCgNwePEjIwkS60iIs308i28Qz3gDoUPJpcN+B0n2S/fda1hhkDCxqnD8S5L/TpOs7BgjKSRhhdmTqJtAm4aLMOTc+pFd8mfeJJ903ypaP0fhh5KMVsU4yLzEvEkf6P9rzJ151smOwnvPnDHU8LpEZ8yWP67urvX59U/cHFBv7k0ND5GIzPgcffYDYB0KY9LQIHD//rPv3u5WiqU9xKoFl/L5kBdFwTzKDxGdbfCSf1Kz8gHhPXAEXUHLxG1x931pNLX7/FwQqY5/JlThnVfAQSvFrS2eaetzRDAp5PYf1RwcaO2J1W07p5F8uTv7cacFEI04zHu77v3uFw7R3tQ+c5wAcvrkYTuaOXhRDZ6uudlFvYiJlicpQ4mfcLIsn1oQ5+jUWFKcTiVe+zOiNsnHGKW3c/yRqnun18HH0Xe50Kwj8Un2u/NiOtpdS3iTw+tcw3u3ZUd5Mokqju2i3O4oPH1Pq6S8akgcDcpwq9DgVtpuP6R6/3PHUKeueB65BkZqZILf5d6aZKwqbWn0WCAjDO4ycicYec9tyzRDhjedR/TmUuO+w2XNnwIY9yH42bj4LSKJVNXBBT7fSrb5VME+qxFZOb+it8FwrveQKqsYXME1SJTmN+rVEXEzu7N6KCW5M3whMlLZbtdJuyDxFzr+dli193keXXbLjH6BGB28iRFIWOANsfklhsy4GAPT0QTLomGn0M6uNCk8pi95GD1hS2ZNBqky+b0+NuDjR7gfYS5iS82ee5qpitulPPrGG5+PjfolaqyQ1fmIAXFIc1hkF7mNO+LB4XkfOWcCgTvOD3++hIpDUjszXC+n7mfkFJOmW2XE5lXurmT2uIPUwMgeZHk6E+qbUfUdFrAt0ypYAtCmAGT9B5yIuLaQynmk/VYSOhDzuA7cz6X/RND3RvWNg0HjnChOhVHTdS3R9ZOjUxoY82KPL82HUi1Rb6y1yYXrEyavzb7oOMqOvmzneGJ4sWfVy+TXZpitBX9lH+Jbl99bzluJmZtlJbWzb6jkVuaHggwnoTE4JDfZHQ3vMJ4aJXsDqR8dLdz7xfE6kyM6GZvPVXYVxGMH47bRKpu5W1ZJCXfW4sua5f4knk0pELBGQFZbeWfoQhy/SfiOpNIRokfCDNXNxsVNul1DCyJaKkTt7Grg77+UfFYAnpFOnLL0OfqMLgY8FGemdWezJ8xc7sxBnTjhU7k49meTa2L/ETTPWOacINJAaNhLPezsMov6ZW/8fv8EIfL0dSgtyOYpnDUroSBB2RmfMPxG/4EtmREjcTuzNmNBbFnRNZDtYmkFjWmz5iqlr9H6OtAHOAvD14KEfW4NLLlVEJCGyv+ZttyKbXfWm9yi2mvnuBQbtZj3XT3ZjP00SRfKTBkI4V3/1aZWmA8BNXdeX90IRMCw8bD8Dut2Pwm3wMlG6CtGu1dnWFdKREHkqg/E4ZBQZFKNiskdLyJB3+V0ivZCIDc0MSFhhq6CzLAGk4lmuXQOq7bhT62LP7tkoATB56fqroprmqFjGXsdNjMrD8QtWLgoPOwMB8wF4ORleZs+LNksBF17TVJTnQJn6/g//6Pf4vtezawbvHTZoMmXh0VnY4LUCUiRvfn3xfGrUxhxziuKca12CYyquIzuKGz4+01CAxkWhqWi7R8cXrI7F+erAmNVBfvizGDpl0KlRrj6xvmqAyZzX7n7c0GYMGD1UxWk50GAoaOhqBZajIKbJuCE1Qgcx2OwTaRCoXwiRwk2Rg1ZrPUPX9RevpgYzzHI7s9WjVohEwO9qKzHtux0BiQLL7QwTxsDWT0aHWz7FW+hw6rhglowCHcvPI0tVsyviwxVEENw4LtHI31ih9EtZiuS+3aSHaeiLXqcV/zbPAR88eUo6zQQIhSaGy8mtNo6Ba0ts568nSphAU/UV+klQDEVCKYbwYD3D4MunO284gSU1ipz5wtmF6GfHiRY+3Y1wbHANodTSbJDZkeCO3yFmegNxnH/GbzuY5BTnWOVoQJrkfbm0iA1iFKwCCDbE5R7oGZ1smsebt+D2KMBsfx3rmnvE3uTs5QGomtDElqgIsh7NGh4fEmC5lzSVExYfSHvOl+DXYtz1AqkJZ2Euc86ShzSAN0fhQLI/oVAN7ZidMZXjxNZvQbR05wIC0U4QXSkH2hGECtFQyfXjZ45USpunQM5uEiEVGfaAcT42pIaU2z2CDnWQ2rMvIZSFnjzOSwkBY5HX5lRsJ2GHFV1sxaJpE9Y0FlPtme2d31HNZBMtQrCyGXvgVRPQPO9iEiB8DuDheYdR2QkxQfr5Rb1kO7I93h7w3OYQKn8mQBbIU8SKGlaUTudhdKHQQjsmXW00WhsZVaQYLtqu7OZEv9g3VIm8cXsQMg02ssSDr0cFFpoQjifgGyz+5VqcF+AGNHeHPZ770be9ZdmQiCF2Ah6kdjdwDkBS0wcZCxef5Fx0fNxwTitqKGuLOssEMtZsmwFRS/VkXb6E3tengOBKwqdKOTS2h4Wyp9XlOR7S/WDWhJMtMdzTO82rFj1zY1D3b9hzN7Ee0BxTlVvrurN5/h0v5DiFw2JajcU5oXGxtNZS7Sq/NSJws4g7uZtd2W9Vymigr09LXOzqHU2AV+IsZJ3LNAqSodE1SoHWsicc133Z9HUBKaX5kNCquhQymkHq1Xh69N6N3Me9mnc39yyFhkpHRMWpyiG0977dO7S6R1mcETP8W/bDGQsKapE1NYYj6HgqKDdCI3Sh04NzGMr2Enx9615kZWq+tqMS7CCbbMAZCMHavtaMltLfqLIjdNi7x3/+2M4jIcU49qIAH5qh+M7cvKpxsWPojcesnVymMfBrBYIFR2eA+T6J6tSicrk2ISyN1NsdzXmpUCescKpXoHnVZx6H3561IF9Uw4Zg4PvGDEv2M+AwzuJWH092NN7ODrF3coXGw3WYL/8Z//lgQfiN3M2MJqiA10BwmvjyqVEyz/e+CgQSopE3t9+34vkdAlIQFvtJIybUPhRg7eNtGOe+SpT2HF5S5mdOPZzxzMvBfrDGWtUIoXuXS4o8laboM319j2xwk3sT/WNhE4SaHTCCliOd1hbVTRlOeSrD5dM4gfiLNdfD9C9ds2IZl9WMuv1Ht+DdeIX2c8duvTXszxEByH0Ie6X9wPD0RlLyQpegY2hL9QlTO4wmf269cvYY+bImZlA3exlR2UMVpyRrsnE+roIZMRScoltLucWCPaghTOQCeLtV9xklm9zYz/EbeT/H8AIGBbIDJpZa0uUdae5oeWLgukJ4E3eeNX7HhG3r1u97cISy+MDVhWYsL6yZQAVNlRTErRLFYIhdJwrhDJqWxc63QS+JGpUj0EkyFm9ioDxfMoihUUaxbu/mVxdopNyQ4Ge5WQhgZKF2DamWwGdQm5TBsVUbu4vbU8s3s551NskwGX+TEenu2tSyetB4T+9gEqXdII58S36kwTyCz2/AjDObDh6Y3apQMqBA2RXL1of4/ME1l2BTbPwrY3qKgfYJ8akWFp0wcXQF5ToA4Or/wWdOCy05mea0U3QWg0t0bOLlv3mPE2HyFUXJuD5SCpvcTYpAHSawUN547G26dcRkiRwjJi/CziIlBeP1/cNFe6lskb6Q/ImQQPyypAy3gEr5oZ/s7y3pZKv/NYXvQ643bM393s8FPQ4nrFQ0J8escZAFcJwtrqkrwhnHQw18YHmAF3ru8Vyqylg/JOs4s/p/zGvwllFLNMY+I4JJnzNwWG3/kCZgenjLHbkGWt8gBze5LwUjxCbR8icGUqkhKurgYIzPJYqHgB7TWWaLGzZh/3QN89NkNfnNn9karZZg0Q+JJjB11GaRKCJG+1Gv7AlNyIgUfrHy/vXr2QljhS+7v5oEc8lvTwf3ITO+a+dpEQIC/bXfD86iA1tkv+A/hjoCIumzGarCpm5mAsSzCWxbE0QyPew4nNenxp2Qv76GmoTc2MpR9jbn/SDBkzxsfGkIYgm/gz8DwZXT6kbw3xYK4yzPDuX+4R244wb+Bi+xJTWtlWngrX7IZOKR5/Dxfh7lpQ9hZWA5yAgwV4h9wb+s/f0vzC5p+VFNnB4Meb+yJPVDbJOxnYWmScUOkovBFgUsRx/rUmwFL7yV1A5wkAZb2xCtzdMg9WFb3oR3HjSTEGkzqtJ40yuuMyH742KwDnOZlPmPtUIflOyfCPTvIfzd/wepGpoyrL2QkpJ5iMgnTs/IgCclyH0jskvCHGVO62GNJag/wslFJTEHZcRKCAkJXvHZcPIJmdnTwWU/SJL757fne3Oa5YGgYJrrS9d2dPnEQ1E5nk7s7p1jArLx5Fm3rSQc6AkgJ219cWwJrWmYGomSE5johjIXJy8yuJXCcdv9G0by+ynTEz0VtQ9ko21azIR6WmY6l0rgFwdlnRhrSU4Hfg75Tieh64tddYYFV5M0O58QyHR2psmgAPiIxlDIzKq9ZppQNTpZLEhBh1Xi1YV+0s/f87pIqS1gXnhqJ2JkvZ5KcIEecPWlDhZsv7ixH3X3MfvjQ/j1P5nbsauBgr/hWBK/xM3BlEOIv6P5MzJwJ9HWtQTtukqP+Kn3PQPHkGmOExlops9rqmoDBcEmfmUIc8o8EOYE+LiBgJUgcf91KTZrzYhSl+1GuKg0g3m/PdiNN0rjh2X6S8diKhWi1jaULTswl7YojAtMiR/ljNhsTkz8TQS9nqwW/XPaB0Oa1jIG0i6udjqTDGcLuv0Jxs4sOklnagQHInQ2s0ttFbEcwvDTCWV3KImTmfOYNzPh/fzTMZPsEBnAoY+ir/3cXZQFgfb8CmhH6gvhQSrEjAGh7vpuxU1k26oDJhtIZX+13c1fdSF9q92Lure+9378X3+9f3YqV7tVeSzAnSX+owPVbHI1aFbRrTqMX4vJLtUDsq4vA/TZd/1RBTx98kKZn9vvJ5EjXXTqvmFfr1uaQiEvXbgjDhrcOXBnTKGtKg/7g9HGjSJVROa0xEQspPM83sam6Duw9ivCpmqPMaRiy4BuAFL8cPKP1P5VYVH+Fco6wVEm9GpL6dQSyHEX6E0UpI2NVTUmTv+XXIyOTDm+OJQw/otXAJqLbC8DNaJpppwncogexFuxvPaM+oSRcFKuF7WLiROgsH19p+UBhFDq3WrwDtd7NWyfre+YMbMnOBo0KN4N18XFsOmmBLfMX8sksk3uBys11Ju7lCi7sJKIu90MXdXdzv93vFC0lXupIt/3ch3st4WMne6vsT6gj+sbjac5fieFYFKN8+DO9pLZeUXo+nUrS+r25wSMDOhHb+aWYc6h3eqr6DFdWmhyHMYU6GM6GO46o9G7QW0wfkUXKmhJ+I20OrLJVPl4bgnHPmDA/MsM+ZOTzqzzqcIrdJLwzO04aPCB5IDt5ssl0hxpML7l0jBhNg3+DkpFomyzTb+iApJdZXOhmgF1k9K4OCf7fW1Fr6lXm8zsb+sfKj0ss2EHHBVfWAtJ9ALlyvOydo+scmOQR6tOsapnPp5elfQT7xA5N3NixGYZ6jqNpbdAQfwg6CiblnIzj1kkkHQodii+Kug1CoDhfngSacN0yC9TEyMn4NTVgefhTUCWq+NBptJWq8r2S8oGJ/gCka8/0NjsGgTpkksZ4pWpFZHTMOg5uMIczRTKYC5tAg18+BwIfHDlwDfUiOcI6MH2PfkYvCKZKSD52g1b1AyRN3EZ4XY5vARBvDoKOrRy5MNMRHMuAcFngTcHnaQDwmEvxOM/oirddW4Oj6VU/bsymlzvKTqY3lf/7n35FVei5ATK+sJbnGzdr6HVmLHpVJwpDPVmibHwX16juTqPOz1XBWHtph6sesSzY32hKXvvl7LWNMjmfqOxfSFDLzqpg/BKyrZ87xfK3eGemr/9Hs8KeEuu8Bv95A0r+LFb/qnTDSEZRkvsdvKgIplwGtcgwjQ7ox1Af2pEh2nhse2GosP3epuSN7IBsrkIAaWFIsbxZ66M/uQ2tY/HgdhA8KBY69bwS+ESk8QGLU+69E7HFi/oLccqWM1NhFBzZUzuPcsTd4Oo/K1kxoDnQ9AmXnXVlDRUJZZNnO/FCSjg0He2jgXj+jacEseEbd+UHN4h7mBsnGaX58Jv3I3T3Ejegxub4Uqwi4hTfzcgx8WCSuFzdYD+WnPOmmM8fJ4y3gzGrHC08mLQTLO/CwIU3ou51fUjeStyVmJha3VuOPlYMY7OIgdp/EFbDcvQBWd6+r2lzD1Ug7M0a4kNz+i7281eCzOUtwxA9j7Pny9BsryaBvAxrdfBCRNtGRI4dFuQTQ+eUvhJmhzoww/Aw8k+gONyJZ1q479t67g0xefWSO6vtVhjcA481kZLe1HD2JH+S3n+wQwl7ylDX3zrkyMs6tvuYOepuo44EZHcyVuRxnnJt56VGeS3soztyvV2UGxgwTk1f9hIsVnfSDyXJncoy8Dq88AcjlPXsugGycbUN/2ltFw9erbQ0jc2ff05DIe3XIjLP44JvpFkBVuhQFJkDoeEcFYCXLI40T9oz42A69sFP9iEDsIrPY+XxEq1M3JNNRM9lHQDg6to3WU6K42fSIVIvQHLjiMpwJ2G4vbUG9UnMbKP+gAL4eQzeBBjjSVyDDC1RWwRsG/nIwe0yuKFh6Ly4vlqEGzaHvymtOeDY7bFJFQYD57Zvy3NWo3Tx/2hwmNG3OCZ6+mngSSgNXHzQDqyNmKfDOH06Ewf0I0nrNBGZexNnNdATc7/ADdRM4OTNDJOoSYGhkI2+n5+gsDJYRgxR9NHcM/+toYCOwd+0EHWdxpieXrMqcaNudBI3LpW/6HjdBSZI3pNrGWhvjpjfQGrs3leGLqX39h/PaYG1nSHIPas1H9p2cOavrjwobhKhksxIOnansAZg2GyJt8elf2ZMcOfAW8zSjOywc4joqjm5nHcvg+byYGbqg08lgzVwzS6mfhRoBLXmwKgzaiNR9hYinpc9RM8KCGY+gvh2ObkVTax3ibNphFx49jIiQInavWx2R6xouima44TZrApYLOBNuir04Ennd43YuYgSxZgpu0lE6DfJniHDDoYXDGnKGYGRJkHWU3UKRFPupn7gLzhdiHkBoBSNHY/k0IZyiO/rlpxVDW3lKEnOMZIc29jrrsv3HXzie56hQ2TAPwiIQ1bHVhLSUlugUmNfx5fj3+cwPkGU4OxzqCocL/u///PtQ7Y6IDxgOjduZhkdOieLP89uoE8Trr2tKPF9RWOCcjE4UM2RkZhQmDNXVBGX9+hTtOxPa+TAquSTwdBkADqf+7UpBSkh7xvLzZLR05lj9VtRkUG4dQ4RFUedei+VPB3Zmf+De9/eMvgsfsnB0UcKZxTqYa/Oj3R3rNH0UQMfqjbmGW4vLJfxYWBOzSaFnvYL1Ta2GxsOdiyUkjyk0cPvsdPFUpm5/1H/qU1OZHViB2r8qCChhEzZZAF8tYRA4JHRjxmy0APvev8EDW7Qbw/PXK1vJM14Zg6DKPPY1j8OPpZBlWXMDPREuwK0Pp/URdTB4o5dMpssMQsKZ+5aUhA9h5xO2sQLzBQa/0Q4Q9SvuHLKV6k1NmfshIHsZwY3hWMgkh4vk3pvjTlAjfqGP19w/ViuY3C3h/MNIih05hB1qh+f7+WvugLrrHbzQ3WwUBdx+0oh7FesCYmuHtU1I4sGrzXmIvTGB6MTpmIObVdr6v10BThQu8Cna+HgcfkBv+EInMyDu3vnM0XD4+YzIM/ikciqB6Z6EXyIyVPfhCPz+9dca7nrqlDiI37/jVIW5bufx4n5cbO8QN5PjgUsIm4dcSl/7mdkbexFD18wnp/pVYNF1XfhC0XJ+qiIvX8OQO7N3rUFfm2yao9jf8YhXKaSONSKkNxUay3EnN5OnwwspvbIdeXMhIdjSfBtwHNlHnrPLluX1sVO+ZeDlr+gNQlKIhKRL9+SNK9qOxpOjRGuEWd1IFVSmKGtLymoYHBnc9mNE3O4XHz50YnaudUGHXy9NO+SNNidUOsml9ad+oZt7xa7cPm7HJnaU3QRAac6stjXMkBc8Y1EP2HBpiiLqFl1cXq0LAMt+JiE17LDTelrKfvXeUmeFeyk6b/9JGnyoDL+cFZoirJMVH1zhCLfd+OrjzYJ52DojZflfwJ9ENYFXsCSlG0gZu5tmWN7Z7lVxO+fKhM4UCpQWKj8GADuOXR7uJuZg3M4z+8NxaS1qQn+B5iIPzRHBTGfS/0jaxXy8ulscrrARigx45TLenHxybmpcH7oecKVYjrFr+k00C4RH/oXsoXRmLvZUqvs4NGcI4wbfq5CT4QNp9OtC6ze0rwDHBRZr6qQAybPkQlfueoZ+V8Sc43Ftm4Cmm7cB7YWQZm/9DsJXyTNRJEHOBXg3osQYR6ZyeRERVLabmCAxvSKR2q15iddLMlwDSBsgqsSCSKoNc8ebL0gth7g0pboO2KgnA48pROhxv1CZ8RzgJOB3K/DjFUKqMFd/XZ9A8EzGCzoUbO8B3zsf+HmNoV10vzSmeOkhBb++l7KxumiX1NRs0pd/XJBN0DFadD4uHaLTA0s6p2xgKWnLJhMw2ImT8nWu18OW+wxHTk84ZfMhEWjdI/nP//q3tsZdEqLHE1Alb06C+RCGVt2VGtSrUIH5V0fedTHedtxUFsCG9GtbHFU8bQpjgdO0NSntNHBhSY8/BZbxl1rgwtuzh+HgDDkEsGOpIQ698Wqx4/SRaB+KGPjESdVQEb+4GUrYB3Vm7rqfeP0Tj2W3f1DELOjKV8xMPpq4B7yYE22sn0WYI+eBN8tg5+zo0CMVL4vsCsQVF/MR4QTdJ5mjBGJIr6Pk8IZ3SmVrjsMlxwZ3B1EYAfrPEJjjxTIQ7VTOD3R3mBaJXkHp62pvlgHvrD0gLiwc8Dk3CTZlQzHjBSKMP3oOkC9fjqoqmvM1NEOTvTNyakj8u2W7lFyIVF8+sdMy5zWGfF/QFKlj4wb6ozu0R16qwmB5mZm/ap0BEacAid6glB+qX68FbSo83WADuTZEiN1L8i0JrcGbQ32+ekeHJF8ueYUIJeHuWklyYT3716wAq6xaKTB5+BMlBqeSkZe6nRV5qGvOGak6g6iKl/igQ3W2XY+KTJBmy9xR5xDggnPmfI74yUzBnPnei3UbmDGuWKz0111gD3gN8FO762ngpZNrSNMiIulsdQVRR+I5KoGdd0h5LeYCh3ZdXYLHHpP0LKeBTgxBu3+ty/jkTI9UnK6L/EFMw5ZZC18eJ7WW0wnAebQdTmzrFcpmn0mF3QNtBtAN74DFP7Cfivn8DV1aZUr3Lsk8HxmH7HGf//xYGUd/OxVOunTyf962z0jPibV+kA95yZc/TrDMvAMTLTBgu5gjgGfjBrgRbBOjs9xjMR2T2VQjlgE2/V+H+mVGbVINMo857IRZmRav8RUwdVkCJ/WAudHjhQHikZ0jlN+RrsrZewe4i92/LgdXX9t6XM+UlUi55Afyuwc0a6V/Eb7b4F4yGQmjilHNe7JQs/VdUou70ijcTtJZ/d66KUNo/thukMRRn5KMuuXKeoB1SjQYzbr3jeanYDCCPFdbJztXH19mNVNySpIIl3PIuZhzjGkObOJK0pT9GXeINhcJZ+Mg8suPShCXPPkt2+r585yNwn82yXvp3p2HCLrCi/msSXxFxsI5XF3L72XJc65dvvXRwyAxkSVxiazx+aPg8OtN9a6+or6nBtVWYgLc+VeLfcPCnBoFdjiK5Ej7fi7xEcNRnqxGBy6z0YNGzulOoiavwwG++pkmu1OVlpQndoh3hEMfxWQtHwwZMCXDaKfbIGnjeMoyBia2f35jNjpYXPy2kTRrChebZyfNmzXA65lHHjNhxPJvXJuEBHCdggGuUUxFLgHiTAmN3q40l+CcX1QQXkLfrGJx3+PeuJEldI/Xn0IW+rvTh3fB7A9jJDnfiRlUq5kEbMbuSlr7W1GIiVE8r9CMgZ0v9cmdNk1i7QQfLwAP+0VLGXk31BlX8GIP/+u//r/lsSbOMeEEPgM/1970gbDY2ZOP3+A+KdXy34C6R766QLI7i/3KCo99Z/O6jFQEefgvBL26hiwjpN169csBbMun7Z/UdZtfSilssfG3XlGfUidtynzuFAPvsFFTHym0FQaSoO4G5X2s1HQKESKiAlrReugVfi45jw471PCsgExXTvgYpxq/01FpIyfDoGt6gxMEI5uZqmRyoNkv6U1EbighhpMJh94plU+dqhegoYltmWamRlWW6yBb0fyMMyaQwJc5v3huIZEIf4j76EpMa9IcuahRVK5ea8f5W3SB4eYIGDEaFvggPgTuHysFnuvSXZOqBmy/gt105knPqw2OIBrEFCMHVIyD25+nIxWXn68ZTGQ6bZXKDTPDvfn2bLj3d2pQ8Due4Ey2R81XrXmmkPhkg0yDCRuI03p8RzWYAIJjxXVPWjtXX4h3r27EAMYfPNwbzZ6f4OjEEd6dABReE9aS2ZBGgsabRU4dIl6IjVjJU0l5qOn6uJ8TpnacQHmh0ejM+Yw+fzszHMyNYsbIlOsTs/jru+OTn4rwHPJiT24RDZr9pobuW3jy0nUhhyBn8T3k4iPsPF5Mc6HPwV7MeFDj+8ExKvLVD6V6NGvWxe3bC3hHWAhQrS12WluOzzcKYVxZWi5mpRoaimqm6OMzQ9hEswk/2C93Kd24WNmOZ/t0MYSSiSScxWoXrtAdBJLqzMcPsJqZKzFKKrlvoweXpFfOZiLONMPafCq5YoFzItZ+LI7WL+cQsKl+bDR+4JYundHzbU1/ogsKXid5XgA4M9/7HU95CjPJfm1dQbqY4xsbp6Cwe7D3YmgCn0p76KTZmG8CbIXB3iSWgCAB+73i7u4Cs9LZu1EwqhlZQLKSL5oHkj0FESmvn/9IF5dzTACvrt4HebOnz9ivhBReLwshLUID8rnsfN3xCJmTjIeUBUF0N/R1UF1EgUl6hI2QNyuO4nYOSjrCtyqZhB+ngutYoLL2wBkOeQ6FMwSGbtKMxQVDmjqQvVPC8K121la1uznsLqX2BsDt4jBp8vWIWVZSP/44vbI+Iz7FWKRG0OJzjhRnJOcHV/OcefmGNG2Icq9pbnrpG4IgkQ4bisiLO6Rygm81W3OE5gbrChkK9pcluieTwYhCBj0RG4cEagFe5Ax6f+VyjpcbW7ClXfLQhbbjommMV7SZYor2hlYa/whXQtiJ0QzfIxjvdV4jfsddFw8uuVLBphJazsFqRxXvqCl7cLYZW7AQQ4/jd+TzsR+WfsaRLt+gcuUq+Zy/HI82dpKaQymiclU/dbNwGMbEyBnEc9MKGS91bNwHnqsbOl+qnZedLga4znevKNjciz8OBeJBJ1SnBxC4j1MpF+9Ckcx3A2xPsv75t1/EVVNay5yPOfuxAsBo8ELif/3j34IekEcb5iTXJmP2rTscyNiiUUCEwzb3SnLLrho0tDallQAK/EkvwgHPwJ8xTnWwkbhufCIb0ehS8iakwp9gMpdmNqXBMh2FHy3lbsi1DmBehmnhPjNumXuSBJfiF5jnzIFAJdJb5Rx/BUwXwemxNH6YCpYrTezjOXAeMINopMOT72NoWco78c5N01esNuaAIaJ1E2rSlArEAt0yfYQEg9SFlY79qhTmth2C4HvoJ9zoTUeECW2zIL0vAge8we2I8kyF0UjxmYrJf2wtvSURO2jHiTHs9JcbW1bplf/F8RBOsegmNKv83dqoP416KiZY7zhgl8cyyPdRUwv8SggDI2Bkwz4XjC4PGioaQVjHyEyylmTrAWcdF9KvyR3YH39qrV8ObdwqikQm6SttK4PxjuwEI+Nmwj0bTWleMlbO8gKGxRXB773r1ApK18m53Tmz0LHCVs73oGUZEcYolVHWh6AcZKKa5pzZvTPcKp5mV+DmU7rI7b3GIDK4+fDMOSeKHoHGR8K1rvf7/brNeSLUo2jG8jV1zB0bQhg+e9za78Ve574j5m58W/BxbeppRAnJ9Iqu13GR6P6DXpW0aqrZQFcsUo6UJqCT06/eMhOVoCjM1dP3pVfMAzs9eYCh5SFtnrtBcf6mybIH842gyC3i6NYgEFfC5tRk13ZQQ5QaBk0zvIuTybE8NccgATYxC8ot6eSCBwXmL0snImPgKZ0SCc2DyZP5JvNHbZ1qiK2IFcxbLq5lwx5a3za7CN/lGnl2mK5QHY7j8wEQE1unBuXlfLTXCgEfgFgWzM10pgs/SBc62q8TPXXXv9QTBirlvpQu7aIBqeZ4fgM/r+NArHUC6pg7c/p99RGvA/en29VJiEVKf8pDAE10SXAOMFulWFuhK1uvRKSx8AW8y6y6TluFeb0le4IJCIX5lVnmvFMTLCTw1Z2aYoPDwcE5BD8OKSevllWueAZghZNw71xxBSNChxcKqwPsrQbhuSpXKuHjwnYwc8p2szknzg/mpMxf2BqSPGm22Zjb/zkUuO/g+FiGkfG8eOzDxWSBETnWWGMLpcJ6ALQuYqIhVao5LXF2drSRf6OOquBgs6DBwXBjVbpcXIMxWdav9URU9S/sDWCBJl68iMNEkvTc3cQLE2YPhjIHoN50j2PLqg7/UAJw3ySbSv483ty9Ag+OTbByOiVe2+xS4XjXEr/OnPrJ7ejkLDt9ohydaQ+AOLuaE9FGwStJ3qT1zt6VPVHqweb0vAkTcgdL4Aumw4/SProKBVQ0krIm19X3kKC+z0cuFaG4VttOijH/RQNhxrQbqdzqtObOpzkLcT7abyqhN5ABX8hQ20/N/MCHPawmEeSwfG63Jv/jn3/36Yc16pihnYkZS6mkOeNd94CnH13Hgyx8ipRhlXs+xA4tC68zewqZfagY5n9D/w/cSj7Yr0u2m6auiMFcC4IDO/2e826Tz5zs5kqD9UYYMtxEwKwUozoTIhJj0Ze6TcVxIlBrb/9XdVuPa/S0lNROErEWfxmFDK8wvx+VAIqaXw+0ZlrxrlGz+noiOpcw/0/B961cghPFpDfK4R7oEq+1DZzsXgl36RzARQPHoJCOqsjiyUq80sVw7hvOqm8XcVXsUbZYYbOq0HJZZqqJoPbtQPsNtYz1yMTVHnf8UvLcMxN80Bcc2JQaqc05jvaCk0Uhzx3Rp19z16dvfzpXz7Jvm5AOLBi+uVrfISJT1eFw33V/OrjgmDeY7uIMJEIr/WInQ/zm8sb3ecdbsLJbBmfoaL+i15ClPRYW3W8c6ZtJKbw3hYk2M11J0/4UKy0iKPpLd0TdXUHLxVcILaLd7Ul1brXiR2ZAuczoYZ5IlWrvajEM5fzupadSBdXgU9BH2CTA9YJLp6ivJQIzEud4WJgYzoZ/5/4F4RvKpZ5zMyfgPz2FJwkcAmdc1OxeStpr5Q/deUhanShSYzA9Ojor6G86yyVOUfgpo+5LlLseWGnLZB+eEe3IbHIIOzEISWc0IFeKx+t7lmkXZnBn6wiGGeCiW4BfDut/YTGYM+lk6BIgZyUnXcP2HVI7lKdRaI1vu0skr+seBZ/faOlc3OxA9looG5qq4UkZ1AGWX/oLr6UH6F3yGgq6vFrvEArofdLD+JFkwQpguiS0a0bkg1ELqRNAXgHoYtaAgWj08t1dYGaJU69xx5Y0Kz1OvNKBePUdG159/TXj1mMct3hF3zbXaGVJC1fX5xq5VfEe1NSndu2gpk/uuZbUTfqaGe13eYxwpgytZfEm7s2laC9n9o95gRJFCCMeqPEKEX9Wem1l2us5xK41yA/bgBIxK7RSJjV37KUg1zDMyin7MpP28YHOkAeDTxITGkFdH4ixEk2a86EEFquxf7y4GZD1rhhUPuOq2fwLCKVP76zPsrTpQW4OQ2+QFegHgP15leFKwb9vNzDl0Lo/5oWmxE3618GsC8m0xLX03rIy5yk+WF8uOD4l2MpCMzOj4rgHc5HFOan9QyGFppYiMzMTJ7LxIFoVlI8rPcbBE/aaRnaIcEdl9WNgU2tjrebyGgZd5ULbol535uwPA6fYelXppvidYBQ3HwVwl8et6JchK+93+fFwDeBE3XCpSVpPbInQSzKvPoOUggvR/QW/+XRb/aLh44OHTvqlJx1cCz8BaYcnM97TTpyZETqaSUh9nOwczeiacYT1MeC4GkxyhMe5Sw1ZAsKAZGP3TTG0gWdFfOGOcpIQE1VjGKQPXKw0EA73i0PpdOInfWVoyX/88++gtB/b3A2OV5HJBB9jrFuBrT2Vp10S5aBDnTlxeDBNzhUWOg6SLg8q+Fh3FkWbGrM0RqCwMiDnIJcyRE+R6NCWMv/skmPpn/sbuMIHyNBwzSIf6kRYzLR1uFxOdj4dMB/t934nrzzlooVUSMIhxirSxUxqMA+8iXN2v5ZR5QJO1EzJ9s51PCnY5M9GhGhzwZCdz3aiXAvS9YKogEgv8pXmUsfXxeLGTX2S3MLMt4uy6jzWOyYkv95vMrS9o6QY1ucvM94g0zQhjuA10FcVD+QtpYZxCl5l1WN66JC8agdWMMtoO64FAJUBpRF0HNhzrP0yM00iPj2x77jj/o8L4kj6rlp4sWtIUrK+6uI1Bv3CDVAAOhZXmzRd9NFmSQSwF5jjFDWMLBRynHcx5MZoSD3ckEKR2pRvK7QzmHljuC55vOYwfQeJPPE4L3IPrhCfizHWI/IenQUsBJSrAsoWj1ekLQv/mOHbfYKR4UCjE/sKvE+XTNdKKCCUk0mWENwULm0NkOgg8UoeP397EZP6RMx8aN/xidNcZpnhxUApGUxSHPYYaObDXU4+ncT5X8AOsPfee8PJ6B7ia7qCBD5DZVeyvKUDHGt3sxrNHEG+tnJhGvScjEE6fALTEXUtvE4BEGfl4seymiLBnCRdTy7eNMqMQLO6vA04c1QuMZ/bAEp2JnmON0XPlvgmdC+B5TkH2C3FYIEkdo6rixl5Ap6tSTWcezczU4huAJ2CMpU1seBfZA6gqt0R92hXXpWQGiG8BfwqQhuZiFSq/WYaELnLbt4k8TmmbO6mm80mKbJHRbqTbSZMP/FlzoCLeAc4OIMnpiUj3BknEv/X7365kE1+IF26nSbGgs1EzyqR9EsdQ5FO4D7FgXFVqFc7sd30/oI20l6XJ458K8wjXyDXwRc781IycLxAGD1mqLPtlvxGEzIMgaE7PG2BOqipUTA279z7lhI5/eTuC4p1W9pt0cttKSyboixcmB/ODg40Z9LH91S3V5Uv4Y6WgirSRUcq4pufKqX76ro4bTVLX9T1XZlGN734CG8XYy4s/E/R/hSA7GsS3nFmh4LSV0nbLf4oXvqYsjWCL7jP4+EyuWHjURDNx91djrj6KsGrA2i/Isj1dYYLWJMJFXYk4XtFzgDdBub1eLDtI7IahcWWlv/K2joAdpZLxRji2aYWt0RGs94lRoRsW5CxAwtSJinAKj5rCZzVrPdgOpKp9Mm9bb+4kwl9HNj7t/ookwDT72GoodUeCHN4EzljpCyFc1rLNT0tHqV5kKjpE/fk7F2BGVjb7NP4ZrH8np9bf3pKA0CzdrhCzhvTEDKSctcg3Qafre/C/KakheycLzkK0ouscl1hpnzHSmYvwEjlHiYZrRqserpFdIe4++sME7ohI2dTR9UdLpG5iNUVlMD/+sffCcXekOiT/6GJ6tSEwHRlOkTtIiD51x0VXtkj2CFlX6UE2IGomzWSfNIbcI3F9APdoclp4Hr1lzTHzscFSEvZKQjJikbVUe5lSDxJO6Q0DM+YPpcC5eB7m+ecDtU7lHARKWE6Y0OaDhtr1yoaTAVj+mxOVb/vuwCIluOX/9sCkY9RHkD6BUs6hCyLngWTwg8diOSljib6Y2V2nH565Ur8OZDCiW0RHyB74+PdSfqEu+XNUIF0+p+hYK8Xlc/25d4c/swD5bAGCbmyJS5OCLw8e7+KkByp7B6XEdqAHpMzYdhXhNQ3RU6gpqsHh4P7suEAuqoiMU+av9EQyQRgxXHKP08MctZ1rWCqzN4mMrni9fWKJWX7K9cjWwohHABCxmB6A3dS5fnxXI+gG6BMrfYhcKEPTjpl5T7Yehu2J+24vylvd3RaCJkZ066VYY4SLlt90He/X4EX67LBBflampUbkruiHP5WK75jR+s1fhozU61hRERcZ/6KxPB79wCUnbbjVCuKn0j3/nbmCC6i/LDGygpAsx/NDQnHQyDadZ3zYU6gkluHd+8u9t6/dj7m9lIycKgB5kw+J/OEPzw8IHkoEh/MHtcbO5hrws5y88OTtiOTRkgvJ95OoUoARvp6zYFnvFIAyoapC+AgW8fRewOTUm+MNVqM6OZAcmcRBGBKXnHZfK+WnbJBGkqw3DLUSm1z3J56yPwV5KO7O3s4WHqna1iIPxI24E5Odnu5lV9q/t5lcvb2TKT1Ga5drXl/FS8Ar7UlD2jY7UYOAZvpUvFHK3ufwhhlvkma2bEyJsRL23cIh4H097dKpnB4Y/r1az0z9LXRzC2vaQoS4RjtYeDiErbCChTmeA7vuBZIC1I1WfdopvK0Ie+wpPIfQjVTsHlf23VL8Q4n4m5jckOFsBMVKAzkoVb9BMz78t3WS+AhpZjhkp3uFHw0BrjRgbnyNNw7aFjwH7cm1dZNYwf64LEZE9pjCGReXnAVMMc06mj3eitEeG9XRCGZxWttUfBEPkpwnGkSizUMXgXLo1VSaN+XCc3lP9jv7zoKX8SaITnJ7gzzMSniPjoN/EwIrcZWnxlS8+9Pz9ZUvUHx5GtE8AzpxukBIid8N0TczSaGjq7NGQ+GXOS5CYTuDJQdcLczQJsT4OceWLP+dpPZreJvlxkq20XwuboESJvBGt79Dk7mwQnIFT9jJuqCcQL4yVcH7l3nq0Rlt6x9Ej17si3Ogu7eWW9AaZHFcwS7BZIJPOz+9YZ1tyrbATLscQUQrbqk6iLcKwr6KeJUgkga7am10s95YQwtqhMJDc9sluczIkQixkPd8iL9mITcVrAIAil9jot0xr9sa9bBOhCmyeuRlNAxXnrgmQH1FrzpaPhbWWmLiz12oib4r3/+PcR0BIP54v6LwpzebQdox84wB/EEtDBsH2TasFNUtTExzgE4pwlBpfEQZjdmHbGQdP4IAZznnXZNMDmgtuIWitl6fmt6yZ76D8Xm+uJ5QDMdPSFNMkeBwyBkDPZOS5gUQGyFylctGQVWcukCCakdwkwiLl8IK/GCaAiGoW91EdPAYzfVhJoZt4G7422fGDazL35ZTO7Lz99oCpiz/gTkwuCmpEji14B3FdsoRdGzds/Kt/GP52iXeQIJk30LpIazKy11dIQSAST01cz8BYOpNHwiKaDSeCJYMyMSyuy+EY5Uyxw/VY9IC6aQfJT0q0cmG6UhW+iolXTiwcT7rIQuH3NiKsrqLbbmGsjzqm5qDqiM4Kyq2QAke59HzJ05H7YS9NlVKK7HpSSRte/o+FfeonPfz8QNZjuCzRdKg4JRUpp/rByZBgwe3XVL+8dig1x8KduHas3JKq1aP/Qf+0VtO8f6bv4FtXCVivIbUAkAzoFv/4ZbyKhZKrMIt3zj/Qw43AwKmfeJZIYEri4VoagPNaKPir1y+jEnOoBZXv/QhXZvuoH7BvI1iznAaPgh9ZU+k6z0mZnh8SwxP5H/v5I+ekZ1qQpCQqDkAfOc2z16U9UcTc5kQeGdKC4gg0VFgtKogKgQDd5ik+0CzJHFp1dVooSFQ/rF1rop/e50arA6J6onq9HKseVR/srMcC5pC7LJ1jD7KTqXmGsTGNbDzwSA43COf8KgtSoQZ3RNfSVMh2bhgbw0zNTMJSfVNpCBttTCw9VOGT8+A8AkUntw4LIe2S6BG/TR/CEbHWkBfBc71zfXllqIbowDx4Wwn0a128qzTqhYgBdprESygdxzQBZFJpEsCh34Q4wGPna0QekWpLRt8uhGQZe0LXSkyPMD6vTq507wNDmGvJiUfaHOShLb2+xY/+Ey+S1SKGZjKBU7kWNIHGLOIeD588H8CaMyblIBixowXDPWCy58GcBUKqGRc3gBpK41kiXxXRwmWEltzFlDP+VvYLzamUv/ipF28i7orWGH22JRshpCGqtzYmWT8jl54WQVNf9kbOcyfbGtvNrUTDBtO1EeduNwwYNbNz4jP2yHhn04fMbcGLD6m6fD4FUIenkM4BQSAoESDnlzt1dewJdQalKLxbhJpbZ2lXP1puhu3VoM54ceP5wf4Qs10t7Vr3BrPRca2WXwwlKuHKdpgRLCte/4jdNVtyMY2gBjp50QJWBv3SSLGbfk8tCg60RqqYfnk6Xc0XMDoP0jA6AnKq/0HaWzBXi0G6TNyOdBMWWA/+vN2dGy6I349zo5zDDN1iCAfZRsMGFMhwpWCebDMPWtE3mMKizEeWEd7ObUw3/+6z9+gwOu0fRoZrOKNmx5wbuQpXWAJZ9BP8jUNbgUlnPaL4E1/NoIL3FZMaOEuEmZ96e5fU+O8K6oOMIkOCIcOaN5SvEPEHb3d/jljr15Mi/6uFNkhlIvRXFtLpXWQs1TxWrUTQXrigdu+09noh3pvbfIp70347nlAu1WJmeGAPCcZipLb2PCRwC9LcinLP8rJ5PJXl4vcluSBZL4loBCq/iRvD5C76K+Jk15t6QfQ98LzOuNGwCD85CyZ2Hohn68nH/95ShH+eL0ex3Jf+u5dpAZuog9rR7z5xrcr4o51E8uZ7T0MyVw7o2nUeGjMxpQ6T+on30bIsVxxdCT70f8KJDXgAC3m4vaaQuaMnDrxk1pnksQHrcARDAVNuaV+SpFPy5yIOLR7m7yexY4NtcsJvo9oB0M5QmP8fUBZD2NFt6uY75l4p5EuDjXPCbRweI6KC/++t4gGysp/iiw2WCdh/Z8WWyblGwU0RZaRKXc9VYvD5usNfod/GF4GWJEA5E6SbTEzCTd06UganmyAwcCP2PCx3B2QWpG+1XsiS7yu01dXHdjL+eMdF1bH3cEjMqYlkJscM+dxlVzjOQx4D1zxsMGh7v6RIfqfqHbMFErFCOYrE8Dx/l2PenLnZqvmFS4roI0br7du8c/P3Wwt3Q9YanHafSJRuMJRwMaqyx22Oa6APjj+qTKVykf71PCCkcByOvJ1haQu5qp5VbCs+fCCF1qMmlKBSPklRoW6BF4LmUsDnXM/qN48Gf7zHxrrPKHM4CkWBTni0gSPqWsZDeP8boxa6OEYwnt6h5wNeJf+MuOJLDgx0SrY4PKxwVPB7e+p2VEEHnUzPxky1EHM2yw7u34Wl1RvbBBCfOdFu3UXk7Kuj5K6zT/wxJu8gt1TyQi/MBqDbR7xiTrL86JSnzz7z2iwOt0j0ISS4WiBfvh4YBikYPBobADe1DWhPac8R/mCrOi9RsoB2Zsku6h0/X6CFgMBHK3lpPo33O94dKesxE8OA7HjCSjqqhhnKw4TGHYDHI9zUDuIL4APFVn1kHpoHW+0xxMg7trmALaUgsfSg+2Ipj7pHvS5PIr2/TuZJCMrluQISC35X4kpEb0QyjLiGL+wnvNCgABHJK3jwj3hAEcwGtMJLDcDPI3wodisdRJuw+BncoL11AX82aE2jLxgeIPlAj160yGKI5MAArRoIB05/uCOqC8P3AXh9XOvvJ4T5DxLfZG4Qlw3ZkJ2NcDq6tmZcewJFVPQLwpZknyMKbln6gqFXidy9InVEseA5J1cC4XY4W4T5XP+isS1MohBDjbgqQErnVBE52SX4EHJTKtb5yAlj2CVi3Fk5lqLBtQKaSNOpkDYZ5/+dvhv/7734gzpM3M6lyAuA38xv42+jbTUMRErpSo0tecwr0VhZ/awB2ATh4MzdZL6vsaURzoL0SthBQXLc0YmPYccERyrwba03WlAEnPNE/nylOt8pVLlS8WnudpInMYlYqmJ8sONz/Gy08HN7MBduaekMgYTcbC0AANDu+3Q/cQRetNBOrc0cfCs0Jx1wwGdkCGvShqFNQ84o1flRELLuBmtAFbRPruTGf4mL1L+JB7/O/MZzv142IQo1GEWlN/mxuMsEziCmDaBCbvJiNbD/m7AnkMOEICyheGpAPzgqPR3NcIpHuqiNCmRk6cSMn82ZBElAFftwqiZoiKXWE9QcS8u4dgsV2suxsknAydOgdPUKvmDQjy3h4/W7bl42mph3/AiTMEhky7tsT+VL26jExLjJmRD2nZLRYXdoIojVEqmkIrIezZOdNoT7dHiUnXFPBylZRpq7ncgzziM95f/2xT966gXV190/hxdh9kZEewiaZL5VRTIRf6zfLGfHMJDc/Odaigm+Z+oM4w0/Yq3l3d3fXY4DTxkxEm/OxSWKI0yfWpAyWz+Dd405Etszwlp6UXvUy1aXji4pGbbfbevuWL9urfqInRc4TO1MfQNdgYix18KIkLiIzpq2fYoMVTiTNkImq2ToBnsFdsnbjlwf+wwjw8S2Szt5eDmXjynW76NZN/aX2WJzpTA05HYOho3NeocmLptEvkYUY9FdTBdM/NscLkMHJ3ki0ndW0QvrQZtQb1SykQPQR8e7tJp48p6ak2XZNUNDxC5geN93Rokze2PYLfyoRooUb7l+c2dktc3r1rr5LkVYQt0Yg3txR5iSnYS6zxEZ4RdSRMlUXAVKe9UY3cg7Mrr6hFQrgs+rGAx68DRU5Ok57OMB6RjbswO2psCrR0b4SZfUXoN/eEwukrvAc6x7EGXAmuRipK382P0TBDDmGeCUq1zkt+JtypT1vkGzULtIezFSAB7QgMSjlfssrlnolBOa7dZ0mOPwpDWz45vQemCcvBXrffo4yaN925sLDITVX/1oUoj2ABauPhZIb4Qp8oCXdBzXgF6s6+LW+eiHNFlxEFqRkwcdwpDgsv2miSme3kNRAFUSrJxydvur/mvzdFXqBZpjO8VjwWR/RQn1uWeeryDqKgmgypeXDMZNfFUhrihi/3/d6Zwc7yiyXaodVjSHPrgq8EQpxZRbmaQJIsZKrQt3DbiCq/aYQRQrWGy5Ok8LYIJGKYuTAQjK8EwsaLF1WrD5FuWFKNER32jPw9HXOQPvnrmmNc78EKHQKLmeVOVpQ5+Cubcdws9cFEVR/+wIKGmbcMK6orfgwiwmom5++FLWvaEVEeEIUvMvezJtK8Es4tiiixSO2dOcSmtkHdX1z/Qa9MSOUHjJ/7P//77wN2q1owfKfs52IP5yqRJz2kVhl0R7ZjTa9clV8ho4tGE20Y/lQgvwiXghHGeySxawM8ED9/Bj+viYMP0imCYHX0tq3kOkkpjjeWsyBRWzJksJetqVbb/isf201Z8R6wkmw6LUW+4hnEIYFMZLX2yjmvNpqSuAYVwUCeEAlHayqODyoTHctNoSQszpDUV4ybnp0liJRoMeF4sCg+Ez4H/nQLHFz5vx70QLuGj5IcEC/1iUKB+WTe9vcYb7RwdlyhjUPCGTMUuKNZqJLOZqSAM1f1KgxgRvfyDKudBXBCg0dtZFYsDRwNiN03c5iOTTYaF8wjj/82gTn4hp5w0riJyI7gsPWDiOjEg8ku2swz91QRrrp3PY1KV1HMctq2YpwMsoHITQ12S2X/J+9+AotwuUDHT+O9Fk95B3fBS6Ct6dRMrmhSqLn1agi0rgqV8LmP0zfBlnnQwQor92h0773Ys16UdLUz2NuHK23dafGqdE1eNdMDmGL3lFGu+h3AKYB7S50sz9+QmXRwo5jHwBtl6GrsmrlMsVEW1rWgO/fo3PSkgil5SHLX22ljsdcHmk/nxtx3zgcmwL0QjDPCuPwgKc2AVPz8BgMN7BOOw+MSoMN2gDgesHIp0NsZ2Ct739ybCt2WAeZDFugqJilrfUypSvhMe7nsNwRcAoTedRZ1PBWhPcBlqey4IYWV3FadZVl2b8o3mK83HWUAhFuBLUaryd6n9pYepsf0KhkBP0bMoj+wQwwoU5JC0tUEJKuMWXcliNYmugowrDneu4WzzDAgMp9OELjkx985a9kMrXDvErtdYqAF5rsiROrawuyPXwNUjM0ox5r8EMLYC5ROc1t7YY7lXmdoQhUSjt9VysUNfNCLCaK40Xvl8r9MydTWeANe/o3W2VkeNejyb7/aQcyegk23slfTVIFtMM1zTC0qA9Vk2BcnOvMs5UqtW8FwZNrzY04NSdY/vtTvBf3vsnzRr3wdQFwCeWChBHG3PIA+zx58RBl65gCnOg6WD0WZ3IIOLafZa1vaMHomVXE0Gqx9euHGAQRkMYolAsLzpLE5WORUy5kLoi6/8WHi++CkvCET5F6HP2OK9rkvIxHpV6Jk0VHEBbnjxnYALNeVvuTH30GzMUKLHjBflz+kFSSvghW/0EXJbfaMbWxmLDUZgPI+FQiveqBlFswsU+EXkb3M8Y0z+6qyDhTk5cFTzu3pz70Ib8K1IoD10R/hsSLWX+vWUF1kR4TI8ZRN2HqX/njAMw+iecFZ0fyhM3s2GKgndzNdhVgkhA31XKB1RUkiclFsPz0Q7eobK2GRKseZ0TJrkMudLXReHWpBLfZovhuWX78WHsLuJP9TGSIQ9DFYNoWUhit7jf3P90coDv/1z39H7a0NmEduYe94EAqhzWe0sKvmq7gH9cXXsZH0K/l6WOvwlL5wcdX/IJIiB0DHa/yn81IRfKWr/7Eqy5cPoEgLN5HFLQ/LBHKwx5px6nN3vb6GEDSrq1H41j4lB/+1HqxvQCBWOg4oFltTbcycspmmj7vt6tGyC3rVNPFE48aV8BWy5w2u627bwBXmaMlPlI3JG++ewBlq1qMidU6m55wG+iLkdR878geckY2PIOogleW066XsFIAKKaMRCmurZ9ewMXxKA8hzK0gDZ4Kr0K/uZ1Krq9ZDhmI5eIbElEhczARTeugjyqWU/OrBD0cG2jaWG7rqpCNgtsKDhRVNWUdgnRjK6UHpCLjNFxbBqeQgcMdo2IEcbcI20VAwTM6Ces01HQyMu6nud7pgNgzd0HspJIkBvguJh2F3XaMoOMDxsVWM74Z93B3sorBDCn//vl6IeF4EDPNovyK0F8D3L/HY/MRiki/1WbfOID1+TYkyidqNNmzu2x/Tn5B+wnWOlPUZFL1VYGr95YAA5mfEV8iT93kz3LdZPa9hXgQJrtmgo4qYDUEtceItf1QqwMwB7GJgJ7EDaO+Z4fhoDrkHkIMid7wn9EST8Td4c8BqOEW2pqtTrwPWPyiLwZuDQWp279oKiT1xyU4AqtZJ1+V4+E6/5Druf3WvSmMFEp43QCJG1MGzKZqNShAxO6t8Hf1B1U7NAk0XLV8zzO0lTs1iDfc6+OEDYiIw1i/hzJimYlt5L7+T/4O19gu1N25yt4937NqRl6ccg4BrlHISsFv51V0B+ssVozQXS3y5czOsYWcERtvOwUj3CWysjHC/bcBrK6+9nIP0jwxq7bJSYZwpxaJQ30UXmkhhgk79Ssh+OFuBzqOuEr8Qjkj9a86iG2M0p2/u6nCB2XcxwzEEoHl0+NkQyqvw3FFxion6djL7AHHmmCENCZ4QzbZ7kxLghKb0IByvXPrlPIff3icO8subqeS5x5It61L9hQYqcqh9iZBc3FrCOTGdYcvCM0ZlEZikxc6MbpC1q+xfwivEX+mcUy4zK7PodIUQTfOzxsC1bnTl4XkKGTzQCNfRMVNvIKGbeF/1l94TSXhlO6HaN09/gVPpdEgPtymL+InfaVmIezGfck2+lM5yHqFhqsU+RH+V5sBwLuzhyyiQv9ZJCJmtjmqAe2VBhKn71BwoJlOJM9Ae4UQ054ENoXEA7zCRWyyuT9TTSGS9ikJYBL11rRTa1DQ4XXh9/a2c54GkUNUB8+zkd4rjsoqCXF2FkKiwNsSwt3lZJ435xaZVtH5R7vvyMpMbIZ036IHg1W3pEAlv8hjAigtEGe9xgJ14uie3PMiYAJx+Xp++GoP4r3/9vUOW7ym5NA9QM5mc5pvV/gZz/SZ+MY1bbhHjpMsP+NablVSRqlp882dQ49PfkviB7YgalJ4K4bUmcEtR8BDSuv0cae115jDt2vjjGikFhH8jZ/VSmYrFk+Ay/4H9EWO/guLa2i6HnTPYxhm99LsCP97iOfgdOGqGe/0KI+hMRvMxsu+foq612VCfHN5j3JCW7nwoZv0jrxaQkM2e+B0JExtuAPIVlI7X+iMIR2eVODQvszLxPAGGnjSCHe198fxEEoozhe6Qy5hisbdOmYNCGu3x7HYLHWvkzOPo5z2GRAL3tV8E20EAikEz73su0xTyzV7GoLdnmpwD7NrtTsAuDohJYW7A79xuQ+bBxFixNULnw92UCd1TKsBfeuciCTgv2txZa4Qy2H6zWw/K/iiCTx0SGZ9pkxRYoTU0YfGbdDx5Ib4XoJycRAZXcj4yppujIMrv2wShK0XNRuGGwJDPegYKAiLl2hXg2N0zd+VXTYFl6uBVVnaJ8Fd6hT8IHvJSNKX1cYGgwwMHOj3axgzlBLuuCLuCpaYh5gshLnhUiX/qA35ffHuDNDLsTs2BeTt6rWoanACfrsLyftMTT1d/Qx4XgEMbRhn7a8b56MMclOkcYG8WgL0MsWEgEaLK2U7gu5XimbmZpvBBooNAH3zOB9UBpMWhFRLIZmFaq+j0EKKkxVOLJfwGP1pd50ROfoOeexxSdsPkigtrZEjOKCQ2MhN87xOiMkIrcHaBuUygU+oCq6DASTlPkaTVTIcuKQTZj5fvKCmpW5T5f0j7XT+o68HZxaX7f3vBKXC0BQP5269rae8Br7e+qm0uxgIsDxviGfNEwaAcgc9gx89tWwy7hppaoiCffFGhGzIj8av0+tzewBVjgpMMtp4KTcqviskcD+cgEhsPNbSG08sR+G0SIw4OuFeaMx+P+xw/2fHJBgPyGAsbqwT45vh9un2urv9PPefl+OOv5EsayFVHC5U4m6AHdrLG6CPu2Fq5oKdXlJvLi0lKw2SOabnBZk9qcFTTu5CyL7g7fWjPhI/xk1of5McK+coP1nMknJjdrxuneYHo6zuDK2g1AA4Zg4cg2sc0VhmaZgwETJ1S0wBrAGHTtAjoRLfC61PjXP2mEzHxTfKrIhZXYA6CkdZzYzE95QcnkF2JDP7RMuy55a47408M1ahBdAgbrzCxGXTAoCKtalZHQ3kQOd5uHcjut45W+hUWBXZ2IcwJznfcBK+bushzDmGqcqGSyamp1QG2aTrxsGINqBQFcjMVEmwJUZnKRss5eTOGQ0JS1K+upezuGvn35OTzay5fG+/ILIBMT2VD5GPb7nD0CqfmEGTs+Ic8CiiYGvJf//2/WTCSi8qVwWvsANzAhJmaPmsqAja/zQuAOOhKyWiic+L7nRdnaEFREKSqT06NQdSK4BAXiDIyyDVF3hk/7o1sTPWjATxJ6O5Gv21XnpiBwuaHGAI3H27mTf36iUhbrI3+TW1Fp4P//7FeBN4CWcwNT+uYc/Hd7MwnPIWPIe/aBFGktOI5oWiekUuqBB+S0B/p1wPAkbv6uLvzFvuleh8n+uNyrphjPEDVLhsjBrqHn/VCKZivV7L+IfwvDPy9Sly5felmaGMSSAqc1TZAJT54MS38wSnYi8DESTt4QG+m0ONrO3ZH5QU+gZ/mgfmFDkJQ5ob6i9mywWsd0v1ZSJiDbO7UnCOxcgJvIwYB9wHrFxO5t3ONv/T8qNVEnKFZnR8oD0W2fMu51/ya9PwnWkFLwAlXDGYKbkKQtOi/IKgTzwjPhHCuvqlTU0QksnpwyEzaytV3alJNNFH6EZrK4DRPRii0kTiu94TdfRyzVpnV2LvIJnfTOIEkH05mGokfNkxGQ4PtvkfVUIDYlHnYcixSDD/vspiV9ORkORQWEMM/bXFHZ7VzcIXORCpz0p4DntLUppayy8mCST60lezuIBdYfuZD7ng3BsayoWN+w7MJY6JqfZrG7NChds6UV2jgnB9e9Q5OLDcaR3+QWdwo3YwtHX0+VqsljzqmFfibxQrAeSJduG2bMltW6yab+nd1LmWObMI5Tm0bGmYs8BG0O+J3eLALe6uG8EiXh4s16dg2Xn5HGfZaSCvcUNE6EmRedRslXd6/86WD1CQg1ySDe7dRs2E5L39jcbsrStJeR2HvWsJcyQYiSHKn6Uq++xfKd3eju6SO4zaUGLt7+J4vlfJb8WLhOtsoOCzAaB3mVCpYFt39MfmCUNal9LZsbN67aTPjKuc7CZleSc3W0OTg6r/pmLpB27hXrmr7vQcGXVUfDg5mxszeADukJRhmTMPJowNY0Pu/CD+C3FC8FimeiD1mmEnidf2pOLg/8OS9b1feitXcurcOAu7ijFgLY1K6JoYs/z8B/kNefQcnKDEBfBOXzR8uxDlzy407g2co0sXAu6xdYkB6Mu7dSGXiNO0JPy5E5dnxyh9jQ7wE7FsMPKwfzsnvcboEfteEuHNntqfg1aSxQKxPU/WRPvJH0roW9fVg+HmXh2GLHppfkUexR7TMVPxDIsuUlrAQC3lT5YeMpFJTYxsBsG3yslDJ32VvnWBTKSMwC9Pvu/gtmQG739Pgu3WfkD4JAA+xIsVY1jk6EGanTS9lJjhuhj7wh8EdaVO6tFxSmG3p0VI1o2fj2f/lS6nRMcoP+ROE+goEuJHhOjP3ZzFxthuNbd9VnoWwCbd9d7SxAUs0W1F2b85JSg38r3/9B5wBL1kNGqGrhOpJ1iQ52os5aAHqDJKqksnMsbNTYBeief0DBzimp40vZN/EEmdqXo0URgYdM3bOTubwBSH4pc7PpL1VvlFFUDljucwk8QI+n0s3ZogbkjKT7kFTvqYn9zUXo0BLzbB6djtAOTD6ft/CBwf9vPXdznXmE+oZtsl64fQqfBnQJlGAuaPxdrL6+l0v7KBOy+ijik+RkkpNd5W1vxZfBqYCtY9KRA0N41OYow3iyXdiOpKTVHOUTdWeFvPbptL25PxWOC+Wg+qGkBacTvISGiOOh7DcqO6Cj9/1MGZ0JLt0AXpfO10NYuEZgZXOTMhOhcQ2dFUGgIQ51UPbfsMBwwbu2MFZiFyM1dB7yKhth502cBxRanUtJgUJ6W2iWveyPBtvTbWP8YyenLBKhldLNxZkFUgFc6Hvorc3vN4ZXNbXHlAqUFgpUEVOH2eCUGBkkmH5xvDpC+jeZrxrveb5fr1DJtoCMadbQT+LGdy0Npwoc1XdGfaniJTHXFNrmp9qGT3LCSMtCgzky4PGxPzF3vc8HPHoeZxXx+Y8v3JetHvSB/NVfKG98mQgm5PbT89eC2S6JsRkVfDMSufU8bFtZ8x+xp+YczBzWoBd3GcvgsxpeJgh12xZm6O2RRccJzznWGE4btI6nU6HWClup+SctRQthAIJUoLsfGzMHQmEG0puLXxgE0VjFHeHUsD/Am4sqUEagD9KD3vHi4SMKl2G/kSS7gS4w450YXwzk3p9By2HBFdxyR9RHqnu0km15yRsxpf0eMRd3f3uUvzyjs4V7n5BunsJ1q2MDyIQmKMrq1zTxgphjOXMmo+AIk20r41/NTngV+gy79kU2bThTz4faCrO1Wyb2Er8FT0xG6QU3v5d6cSXh1uz+N5HZS1GRT+6sZuQaJzxRqJS6A0bOlZ/46vzGSzmb2b6h8d+XcJkIOC4EA/efRSdEmGG3B2dDbUjL+aDt4N6Yh3zqsG3vkClXlPQU8NP0y9yn5h7Sw7etLNC1aTfOdzd6fpZp25nvKBrVwTtlmb1VV70fmZexeR/mvNv0hjBve3H+2c3PctkOmad1MNNvarU0cFIHDnurglsQ6LvpqEZ9xbFJk3XX9YY24/flgJV93kowxE8UjSXtb40iQWzbkN2kCHzbCHtrDd5nRzHzyS09AadSWhS4Uscq44d1X0V7Fk5Sdtlfdx853OE8NdL4fHjg8SY9TPQ14eIcEPy6RjSiwxWBFswL3bEzKaylEhiizkBRHJgW4nYTNpnzpz0lTKHEjDKZmMydD60HujFr71j297eYHsVbRVhQiJWCqtEZKtEbHwFZehXuboOOKmq8tgW2aWQrh+wVbro2b/KVleBPLlODFkewwf+45//nqK2OKNpGvXQNxWpGe6SXGbwwX/KZ2pOlue23GjiIeUF54s9sTTsbQ5qT6k/ITR4f4ZaGSn11Q9idvoS02Pnb4SsF8wsuV3uWbWYyVja/nKvL52aNdo89UUOa5ODjjam4JqHoo7hzx+px78fPvI5jgyHE/YDAo68MI44yPbRcI0TVXoIwV92NSnBQ+ErHScpZboYrR8X/lFL/M1tDg9tmNom5XFgyefcpLgb124Im3YRduZDaK/mQL1fCvqcmjT7q/OOPiAF2x1fpeHoQSUDmDTHhF2eUTpc5IlLaC4/DyuPTLMEYpd2BZUq8zP4fBAeE6jAneCsa7g1qJ+tuPrxAUqhncAW5N67PSbWVxPqr3QeCdi9EgvF8xVloiW24V8jlffhyoxYGePW+DXZ7o+0z/zoVdVmDlyiobiIhoRPnOHwf9cur6G9dnkUae9iwMug4YbVmzfiGPHHXKCRdpTfGZBBsry8j9rjMKs90l9avjXlkH1UBnM7ldEfaaDZVq7BAdqi5O/NgqVcFzq5+RPcmFRRLJOX+tyisLuGJY5fS0zkuF+A3l3RjeUeejFxQCDTzBV6OAmFYFossh6MIM6x18kqzgNhK0QeZKLh88nqAM1M5jjEwYDUAe98PoxFlYjDsUvxLhI73HS1DO+4LR+eyHKdLpVGu+yRy/6JeasJ+XUyXt07ADTQdbc2nhd6jVoniPyzwrDR2sA5SD1iJEFj/W32bUQKAm0i1I/0d616NpkN6fIEdOBxjalYw1p3Gy13dFR2QpSbRQR0OJvUqfhirdPCWvl81/yE9gBfI8lVLBOGvCH10uTJZ218l2LJ/FitDSQhjlmNrUXZC9hvecWalnGUmhkbLcZ90e+E79etTcZIz808mthhWyS3VLARsHNPGP780ywf9ejMH48yEMqsnfBFGPLIDYImqTnHPlMfX7OTSm048xJb4oobkuy91LtAE2wSOLEpOgNYtzW3h+4UzO+dHY6WxBL4+ktEU/0rN0RYA5/4tNCE4PB3KXRLEjG5mSL8rnyVDubmNQm9SmkceK8uwbeqPSN21wWesOzoanRLxKa3mv66j4T5u8DYAwh7Q6j6ciqyjlm3giMIC9TF01vmgdvo56n1bb9BuRTd4fkjjIOSsh+K5AU/nCz86U9ONWMES0LKlUO1Rm4cpMBQjRUj95Ada7dopYewFRqtFD2uniyEVHiDtlLow1GWK4kj3KRIenj0u88A3Ao54Gh+Gd4t4w06sfQaCe6XKYkPYqsYwOu5jeSxrAJqRe1B0E1JFSDiGLEkvaSEtextVe6ipZK8qqfsWu0JmB81m/8gpI8R/G02ZTuXw8YVj1fLhU9Hn5VBOP7JcaX3CoOxewTOSbzY2J1C4D/+9e+JxdajvZ4P/6CEnYrTwxkSuPYpH0Jbf0vpxzPkZhhYzK+ACoze3ZPulP0Y3f1RuwbF79sbbBVPelOMNY+LrIyRakIE/EF2iEbcpHjDmo0BBlf4OErPwFPYPnkp313wy1gm1ZIDTYqRULzMUvbKc5+oyLvPA33hudXXPFrohLwK0OuI9UkrftwfTPGMR0lHFBzQZHJASveCNms5ngrJi+t02JC48lBZr58v32h3zwz3bNqFSOzJGIVk8N3ZqPxgP391s8pz9H6KxpwBqQM8eWjlteUcWeogYmTzFX6dfE6dyKQ1ZvpKNiYcfqYkuI2/r6IlNPj8pW/8+y09GDCTNA7sSqcqa0kyGetDXbKGB6P5juqExG5Sl9Loy8zSHxx02qn+etazucIccPEdeKdtcjxxdAgu10WUg7JfsBvYkeU54eg7HoMOWQTYkoLXOKx7suvO5dTrukM6nLghBlE991ovDlsNvJUzvBlWC+FrZaX1e87x94qflfKJEOIN8vb5n9W7wwrBVvcehJ1O/fw8FcSd2HkCnJmM/rwg66o2XOEbOSIEaMDvLGyxk3+VNeT0bKRZreuhkvXfwdbF4AIzQ+0mnxgC3WXMu0i4A6fWSQB4DrAzM+d4yZMOZocHdbEczczQE8Wy3kYWsdjrygbS6YFX7RcZOSS6oFgmRYXyCnFlfiRpBHyTz2/uNqyTWSyB2WOc+5jSKnvX4YGPJDELv6zjS/PQSlsAwKWnhcNavA2zvprQgNkg+orb7nAoC0NQ5+oeneUCOnOudiAN56544OnnCAUASrfo14fnVcsXdwHcv76Cj5+fT0YaZg1t2uUiqpBkmooNQYWbIa1UkTARus4sExqFUerB6L8A+4DrBtfb+UiESD7IJOeTe4ZQjBwVibb6TcogvI9ZT1NASbwz0V/7XdDUnF/LrdzC1SOViSSG4uLye84cDolD7uzHXbWhFczR/SM/aFEaLYYMdvlIaWk6U0p3y6/J1FPgXk8R/ER9dIMZnGQi33TdA54p+/doDSCaLJCrrw/EDo5RWPfb2Y9VATN/3AZnRMGNkQxMJyDlTQ13eO73/sqBFKiid8G1he9fLsTamUt9iDV40WA8I6CgZ1MC6RtQ3OGHuH634lSQasBueBSiUclNN+yPCFzrb5W0b5K4MAackyYWgHCjay0bSngxe+VcvNDqbusxsz1q284DMFHn+ALrbsZB5JzqGLTDuZG/9tO4tL+iXcDkrLB/iH9muCUksDLBJhwKNtViBi9BcBgUMiPoiBfRNh+f9vwcoUnofRi4VYv3udwUyKdwBZzskgvVNxDH5eS1l5rMK8YX3m0GvUDpghu4YRGT0Vep9D1nogXsEwsWX4Co5E2EWxzGhn/0xCC1JSAgOmijxy9kC5XxUBA8HfDP//533JY2BidCJ3iZaZ15pUQY8QQpSQbEeGcq7lsEX1gASjJMwUjK47HJlEtQIXa5bmOFdGZS+2HcS6JS9j7xmR/SUwB7SlW/XMWfPsVpOMbQXR1VcRW/bvuUUonJ6qZVTWeICMMQSjJKRTVb8kd1dXJtbcnmd6kvzme9Rxf4TgxMMSd7qVDX1p10/01I6a0TZAhSdzBRt0GR2ivO6Quf9E8lg82A4psX6xcdXE1o8eEs1hSpI0hvYNkBy7v2YdpjlKvUAe2C+Qr5aCv0x8ZqQBnKSM51hOigs79IOUDcbiv4qNfPg7ttmjqQpqtt8cFCsUakT/SuffaRRpKLi7SmIshOIkwLqVYo4hDfnpMjU0OHkOv5cce6VvSrm1aBV0/JOsx4L0bbtHAfDTFH0oj30bT+M2NGwmcuWN8FpPGXL5+LOnxNJiYnNVmixVPhe/I9n/QusIevVA9JaBAe4sNVkYdbFJJYkK6QOVIZZm3GCi4UxIg+zW0XxeDVfSMrYExwGdX/tlM+OOcEkxKIaSfuObh7ztkAUyGnoPxj8Mf1eb0HvP03VdUiJwW/qsQHWlgHFvBqD8c0sSLECbbza55EWMtBfOJMBHIkfQaYT0SSnGNgfTh3ODOcwWThGDj8YlltXejLAD5/3Km0LY1t724LbnaqSI8u1Ov2hZoEU8vadnNd83yF8360MatTgZF6vL2qrXIMTGAmL2ysjLzJjafWpHW1Pv9nJ2GTYt0s1g0OpzvfLB0SO5fKdDd+v3nIjUyKPz4UCNagzltNsevJK16t7l4oEr3NdMJg6smVrgcaM72Cuapq68h/fSplhAxrM4ys/40QpKw/fMoXNVNzkJu4WczP3geZXniEvslHwPM71ksA06HAzWZYheTo50l54v+wsqlYMQ8p/UY+mT5JXBL9SRkelUNycADwnM8WFQ1od4lzDGFcyIysREz3k0kG+gOyMKc3vRMH9nDXwRWX8jJa7oGX0Dg63uu+SlsE5iBjYVgeLBToFtE/i4DceHBaoEQV4P475baEB26OBK/aa0JjOBNiRJ5r3OYIhCpgfQ2UpSN3HSwDMLLMlYQ9amwTQLjIuNjApaCXjQqwFlnz3ct2k30oPPlQKih38GsoVdrMh23X/cMAcD+PlD0fQSxd0qqNJLHXO/gsZFvqb+CO9K26MyeZ7jB7DINyp/MNldOyqlLKk09XaTib5AGvYtPSk3oefvqjjh50/XGxYNflaIW6alsT+3pgvqzrAt6axpAm7CDFj3sc3wQPKKUgxWqP/dW8ky19OOOuJrNWXGwcC+/SKIk84HT7EF4trS55hNJWXW04VgmTjJY/7q+XFcZpVemP0pcruePWmYbRm/P1hzJILWzVGhrQIrXfrgRnQjcBG0wEnfxO5ffYN1mUTG5wFrNwh1XLn0Kk7QnBGtHEAhLXer/mFK7NtkciznEmv2mDiIN2a0IKeFPI0IP6mzIhbYYwUJMun+PkWMnrgKbECKIagIbeCz1AqFnimp8nRdjjNEztJUQbGiidWSje++sDMM6DC6VrQ0E8WJ02fWaFK2q4foJcYT16dyyS11njLXClCwraiWMBcf8HidWKFgD0vYE6MS/DgovVhxpcSOuc4oPinGsrLpPYtpyEGUIm4ppFNhLN5qj8VT9F9wdEcMwHGotYrIZrUDFjqZ2bj9t7oyuudiXfUxvxJPgwld1e47RZ6GsM6EAbOYaZLIRDoOQHiTl+s/kxxE/uWTy8W76SnYo0n0LqKGQd0y30sH16r0bowyE+SI8LxOF0JtrlUQLFGFIZsC95PN7tj56KeiLjS9zA2/nhahjAdc/DT2BGovaH/gm9bcm52JNOQejWpOcwOAk1BNseIAfDoca2SmOuT2uEdyxeAzia4fmcMzwfcnbAc/xg1G/6K7Qh/CYakwQXHihm/tLk4/leiVFrYDm4etYEE6d/RkGA0DcJ1S5fLsVtc4TQ2vodGPPuusGTIr5B3hak2FFXfPNij1yIqYtFGbPg4YdzMC7sGRZGey/u7l97/+9fX63u1b24i+93d6Xdvfs1tCwb5FrSoXjMeMgW21aweerAE9KugNx3IsHx2qwAyXzlRa2TkFLA4Igg9Tdy9ul8uLPQ9UPYVji48cwDywlIpm19pQmFAp0QZACu24hZZekBz03YzTBKOCJLNEzmWLrjR4uFdIAJBM2sFfaG0ky0EHRlVsUwnyt8937vfiFdQvt+tzyf7LQ7IEJs+8Xd5SJ6jeFkhsa9LoY4Mo9FoSviswXL5IJ7BCKOKXK+wlDD7M2YcbKA7iXK6fsVJUDJq7j2R/J1QYavyAGNbUJSw4UEtEYbzkeUO2qArk+waYB8eaQQBjGgt1twpOHY+nzGsWZ4RnOCbV3srhuEV5DLAERLz3ahkKPoqgCaVQFruIoMq2A5GBwLu2Eq2b1SrG4GWJmn4nIeNdhu+Tmpf3D9E1EVknPrbrilKffIfEbz3JWOwesu4KA1XNgidLEe6agwshEhzZp3iXblp01Ddz/BDGQTspr+IEvH5XEM38ZuNjiAPuQAPBWqi+TxFMYakYV4NIFPFEbuvZCuXBU4RfbFDP2PZ5LHThtM1hUNhF0LwRArYrQCTjFLx07kBVOwV5x5Uth8x7KaLKhP7KBhhuh/ice1jseKRPwkQnJBBe2OYc/QDWmPO9WmMh6IWReW4hhj/szbWASHSopuIrZ4sioBWh2NkaL81f03fBf55E1DkjN9bR5Q9KcMLvcTen+TyESm26HhR0dUSpwjgTKdMD62c1M9sLQV9IhKl74kMWQUDdjj5fDwolgLQoQg3kn2cFcoSH9SMZqF+FXqZtJUMpTwWU4NlfBsf5oBcGG41k+XYCdmrCciH4ZXGiByUU/EtiIICyQdF2HzoEjYABcPRWspJDEJ1LvCil+D5PFRJkEcgrPkLF+hGHThg5hD7amxaFOCuxALSX+kijtPcMwEZvhBe1otuQQfp++I4ONjIrvYkA7Oqzz6Teve9YDrRL+pXUnCnaFdeGS1xtIlVSoknLSzoQv3N/1ArMfgtTjblVs0OBKgPRIWuOB1i1KC4RAA8Bv7KDW1xQ2yBG35YmFdpF9sWiHWC4TezWojx2g/eCxsUxewPwK1s7g6DqID01Vqt0UuIxwzAIirgypm5Zzm+If+HYRofPENLntNj22Sc1ltkdfuUh2nAOltVAE40TFOq3uYDJemYQh7MTPWiM8TkYZ1tyLcR12e2BvRQ3GmDgccHG8zeqYZKZQ4wPBAyvxXNaX0t7M81NW9QvgMVtmOlbRvVBUNHRWkMPYECX3iqmCx41jpClhzeYjYJFp7zzM4HBcDzqZz/jZ/mxmQ8zluRzX5AXLFXR2Z8RTB8RP3kfKhM3hyC3xeOMwDDQ+0axklE29pZX64HO1iA2A8lmaqxCIkpCeis147QHHuJKsB7vpJBwGkPssjcDezeKLlY5YDh+tpojKuVxOCvlrtrmI8tJcr7krCvX/tCju3iG4NMmOObc715ie+5CfnjD45dzEA2YHHbTEJGi1wbDbmEtGoyk/1OuVKwJX1tFi/qmy6IYdc7GLz4Y26TLTlepV8NOyIErIl+m6Ybh+6kpX8FVXWlv24ffdFmK4RMh3pOoOQ9moJ4YvHiK2udnH11/d7v9/v3XVQ4lpe41YwNOPvWWGbE946uYLQTZAxj8imYyI7OAIBWdQrx3QDTncIPf4XPt/SXcOxjY3PJLsjI9RhS0LiaB7WdwQloIMsNw0PtMle2kuTwaYVA8s2DXuTUpExaJeCbpw2B5goswbEwdjvwBd4928zE/ulcNt7gnccOw8Jr4mDRxL8WpF6BPXk81WRzvrlmnXLc/CNVthW11jHYTZIdq3yN5NF/aqb+2O9tOAenLzQAIgsqBpBc9eNr9CUFpaYVTKv4SI7q8CU2bLRAkFp8Q6UTqQcUqFdIDF4gLFjgINfv+8cpb08WbXqfsFZQBqs3fBHcyn6s6QowxnYUTgMpF5tCWsVSdEihpnBzHHwdK3Gxt8bGdb3gmNy5dfpBfGNfxC04BXN9Vok1vabFK5s05jhBczoLaDwK7RwNySLq3WMw4cYBLzXvJXo5xvENQRnT8srJLfdtAxzEP2G4b2I+WCkTSbdkNrl5fOl5U8p6q/0YoBp2TQUwqY6kloP/4fG07JXEJgYNsISLJLeUiXS8kL8grStjszVuiNDns7fO9fCCA+VuYLmBpyRmVgSkd2mqBZmZg4xhxzOkt7/YWLSDMXAV9rxWcl+oe/Af/zj3wExwj6k0e3jP+SKTy8xJgBCSQp6ozaOXDXoyRfDa7MpZIAP7KabZvM9I6HSnQFxCf/odNKuVRUplP0nQ3KpygnTXoxTzP56IN5iqbxWijqCV5ukslby7Kvtj3CtY9zxMhQPkKAeKjZvQXrdPjR+cMajJrmiOF+C1yapMgLO3J9BkYqXkT6+hJhR+DduWZOSZ6nlZjz72F9YD1lV5FIf89dgCjXJmtRUiWHkwCPqWCk2vuaeCslrVgQcc5Q7yzwGP4hBVQbINK95AXqYICwOCC3nLO4Yc3Ckm8lU5wCi7XRfO0Z5Zsmm9X9RpzndBCRr5HkSvytPOalsF5c6ttQVI5zyV5vYQRDAeBm4IO55/fcUDL6RY5MNceHlVXBV5LegzHC5XIqMOwnT13kkHILSrfsLcrzTPY+LjuNbUuSI4hGUQV6vrqD7g2MVuOGC14WbGIulZHxusWM5XIp0WVghuPTsB3Y1Q893TcBNoYcfapofBmzmvQR5IYkI3KUjPKI5qOrKL9HChIQ2R8URob2cE+5pCJNVLTh1zUPyK/OrLmgZHtZyQ0BD3ZRIaQa+3rNAZHYLWdhJzG4Q2cSyrWFlc22JXR7qag7D8xIZcH2aAMZf12OO5IzH2rFWTw6Hx4vDZj4Czod1DbX23D145ni6f+2PKmdlaOdEyrTXFF6AXaK0AuhfjyViREl2YZ6gqsBX97D5dlTlRRpf8+PDd3GhOQSyAvKPh7T2CnrySECayR5WuMxwR8m5d6Uz7XK0WAvlw4gcQ5lBygIFI2FQ0gjXzTOn6G8ao/quj+FX9mCu5qv9EAIUd6ZbJzxMTaBzrLoh6fN5/LdGMc+lnRJCmtmzoWkL6ZKUA0vZEI59cvmFtqLqQ+uyLf/ANDWzC2+I69/GTlVIgf92m8DCtSjbFW4a/T3S2080JZIFpBJ0C2S41u246XZIA0gHkUkrPasuPETm7n2gd3iCx1yGafFld7FaK77RLK4XytepO1neT3iSwADJLHRGeGa0VzyMAWnSvU3/f/3EgHZ350bCYO+b+/opOXwtnJvaVQuYTzaMutejIamKKOEeTfYm2LDr54Wa+ILSMoENPhy2hLLJcYXUef1kzC1yQpmr1TwvUtdjCgxXHiT1jEddZHAJXgz32zLSL1m7tPSJrbcI2WPAmMUr2T15Cb1CPPKGg/G68mRfp3Tj23kP9A8HjKV4/Yo3fc1MaXu/EQ2uB94C53QSKEJ0TJFeMcrjmo0a8Itc/LEXig7pN5ku5KRQ5B9ToVZZu6P2AGrjjiC7PdqBGykBkkU83HjtiWK1vNEGYO9+A7Chm1J5tJeJVgEDgYQzITWhBt6UrjnQyXRFuE62J3MdTJnZfP1CTIpZKtNIrng3kckBGIRX5ihnx6fpv/71HxbcJ9oVfO47m2bAZU61I3lAmkY06Nu0PaygIOM17q9mBKdsQYt61pGBS51FRtlcos3HOXz33UaRv+kAX/JXYkRxCMjeUUhh+o1VXYKiPK2K7ISFY14A9Ep8rqmRzfZOxc2lST/1RvH+4s0gjkYbQ3Iwsr61xIrXrTqmusL7YdnzjSDzNcGxmAOXPXHQVzakh3P7QF8MbM4tFI9Nn6PfUkaPyJEu9oAUN0Z8g0gJ7Z3gMVEeuV0SFTjgyAy67zEpPt8BpYDDAWIAFGypV5gFAl+QtImm3SC6E89R27DHNnitUrCKQtCJlIe66R0Yjrv15k5fGG8FysZ05zEG78G7JPWfgRME+EHOY/uVbmbMcqi3pNuj1I6T3itqIZrF0+oGV0Ke4nUxysysbAZS7PmdijtgLdX1S9zrmbV8SbilwSVYv/oUxDfKSWSCJm+Me/ZYZHmFmRqtxTdaT62lNrk84IVGreBld+LLCLQxbPoH1w2hm2EyfrQSL4C7S+KuTNNfzG6cMVxh/yFjbWQirvbMUURlFGG/TUxlZAFYLRqyg8qMwduotziTxSTd7pAVZqnbl41eiVQOY21A+ElrSmia2IgjJcmOONLi7wxBZYjEfS5lniofr3eBY0BNnHO48BDdcMQ55nlNQ5gEczxkkbZiA+ro6xLZgxckcdeNEkckU5yeU/P4aVmAqP99EDcFZNJE8oAfKcL3iD9zFXnmHYS64hthX/wQJP6MoPEUZldWliMXUYEJFJk+x/p9GwsZMi91NKgXL4I6ZCLkWqcD6N67+i5iPOQRNQ/ZOde0qvNBO3B7y0uIYkyHGDS4YsjrSvp6YIEFuK3qHaM8zv1L2O6ZZVgccKdz8NCb32v41E76hXLUxgnYi7bposi/YBNL+6j31RNGc1Eap+NAj/vRtYUhsaPDHBmRmjYARidNO3J0rC+bKUp8CCLJZZN6I3qZAfCJp3PuYQ5R3ijrihMKjC1jykxZfl42RxbgrY3J7UcZXPyCwHp9ls/koXa9wt6/ZVJ4GcHO73O7Fj3cW+6nedO7IWLCbO+88He0jNy/7TUzg1VGi4O94+FgWOzp6ejpoTF3gzwVVwSQoIPB68GRR/jGNg6bBT5Lnd2w9W8u5Ggsx3Bg2NeIIrVQl0GSCcWOmG5Mj5cs5lBhB/TOCGEwyKxKHmLOvBNmaidHXufZDGOaVsseuC2OtR9RT5CRIR8hJpK82MEB78ju9khzkaKn3G5akqU875yMMqtWlAKR+QES8SVyZA4Bbda1suM/wUkgZnJx6ClX/0VR5rASwWvdI0K7w7OMbiG3PR3mR0elHG1HbxoftBrNTsnkmm6WbEUcjfIz/SQpbxpZ4U330ZZWbjtepYhGSh/cK2uuoyVwAnbtbu9JFfRAP8onZfA8iOKqyBoiAZq0mQx3B25+A9KmmjSqCXkjoW0piBbqkZJFaAMdM0He4WA0YqkYQY4NXWchr9YjaHek3nQ6LsPMolGt8TtzaE2FAsfeDEBWw0NuxXG1ot1lp2/T1aHGP+1AcWlMkcA0W+E20UZs15+tu+5F8A4VKRjgkiB+vZYxlORXulKHYcIq20GgkgM5eMXcAgzDij8TKe54e8WHGN6z/vAAgv5jFVc7iLtXumH3BOiLtby2FTTD7uq6s2scd52OAV0F2bs1ZdeN57iEvaA8M6ddcffXNUlPzVWb4kzvDfaH/ICKJ4uvZpJemsAA7Z0oyKEiNL6uSzP/pbW5sRZtdzqYGKrNoo83La4cIgF7AylM0potVvpLJDcElew/0FvkZOgmo3xqCK5mMeZWXQOCdh41N+VaG/Rwq5vAFLQuydknL7kQ6AH0A1yuO7iMjdQXgHRGJuAWPlR4XBNsA10KPfoBRkVMuS/rUCYSOBeyzgheWeFgNsAc8II4P/3+/G2Gc+ZwgDMJubZy9PLd15PK+zcuTZ82nCkhrogZHYiKrFXYTN4Zfk7HXwE+wbM/dJ1kCbwK1bu7HNSsX16LoXzZLlbrXyUQN9oEyB7qG79erGUyALi57GYTXDw/uTQW6QJcX9FN330v9OVC0PoKAg+0OK34PMOTDKtIFf2daXcWyL5u4UFqWhGPKp3H0KEQieK05vM7C643YjmdRLG0mnKgH2i4iPvkrlUd4usnBAH6hMIoNsSMI9fI8WvS8Ke26OSmHKdIDuTmqyNStBpO9LybR3Hv/b9/3f/3vX/9tdq/3rUMN2OqzZE4Fp/uMkJCDVLmczCM7YU04QUgYpvdkvzhokuSIiLJFEBwOELuTrEqkIKYdQFYsxorKfJs0Aq1hr4TKDAvffqlXbnl4zPhUnuBCBnkF6ecwwjXll5zoCjfdSZFGs4M+RliPjwzMzyHPAdzcHjOuycw/qInv4jrQ7YnqoXBArt/QQvtd79YXeHuWDygXS0vqX2O6cArCCZ9UAHLW2IMX+zqN52SHChKutQ1wrJ+gLo/z0AH8jc774d7HYXNtQaVt3dDH0otaYVjh0KvE5nRS3LvkfmBnGUfqYPrhtgQ64bcstJfUHeCGM3hhmImx8A7c8Bdg8bhkuCZwG0b6geJDwHyBPMZ3xh/mb8eLse7yZHUyhMwHwI3DhksqkM3syL9IokWYG6iyKtjY3hmuOUv+HXcDD5WM3NIYESq7iwBVeFSrsnZWFjtuF/nTuQabPLXjR4wheBwd6+S54sH7C2rJJRdby69Ti3mbTzzalziksJx4ObxoCVmU+Ov1RI51nnNNgd/Lwfi2rQpGd2l9pokhGhFUJadWGBlZW6GenShSPT46m2/geJXIxFFpWipG8FvP2vscZUDYSjsFe+gzolP6bxRNr8f/+l//vPf43zoasd4s9xc5TvZnlOKOW5difH5b2z/wMoPzHpB40Ztg/w70poof5wNMOhsh1oxut5eC+bqczWoFdYEW6H2OAVCc8m58Oxi+MyJJVeOuTuo7opUXyNgbElqKAtEyt1A8ns787bmNJg5sjBd3nWHSUgaynB7GSVgqTnjMJaXyOT7dd2TJ+U8+hb9xFauZamYRp3L+TeO8XqdKfZSWLv4/puy+ypFRU45oOGBwLH7gQm5/F/1JxSmH3FncL8klxOClJHKHN0FsUubNy0sHI1JFEEqKpU06rNrhwPsW8girnsifWVTbXHaL7H0Q4CjrSRj9ZYojZh6esT0DTv6stdKLlEd8qsjIzxwVrc31EfyLhZ8gXNiXbf9TfMzPoQXYvt0xuUp1bCCSZDjd2y8yVc2Ngwbz5MVEgmRqeQoWFHVKsRh2iqAVuykRQLOaG35PrNllFIYZhPi6n2XNAMZoFlblwTduMB57NL7dsqoSOb9J2ylIY52we9t4biVYoujwbkQJeSO9rKZO6c49sUdDfBdZjpEGTuqC2Zx/C9ZARjJgSWFayYdmGhcS8DeFMvYItFmiwW5KWUaeuhkiwudQVl1BLZqQYsnZFWMPVlD3RKTGbQ5xrgHQx7N386sriVDgmbS1sScbFMIjou/DUOGO0JvhWFYetdJhnMtaMr9SfWYrLloIz/jreEOSOBq3YJKgZBO4Cn1y9bQadP/ugcNeznifIyh62z+QnuguJVsRg6nFXHugbVtAw9HpfjXXrP8gdHB819hrNI5hCbJz5XuCpzVnbecjgm6RjdJOALqwVcmzp8no0/bzPm+guOGF0/7wNEjeIo5UqhloUDB5ECsDrErN2fhWsOlbAqp97Cdspd3NHfPlIDxc76vdo4gsn3/oS1iGUoLkpfIgeTYne2cYyniDAYf2urx0t5aSagQuDVL/zCVywLk8QtSbeHMyDwNCUhd5m5GU2ma43iXqU+7+YRoNhNH8NBXOzSpTEuwYF7lpVrDfnfmaP/KLKuKhCxyQXMGZnXPvD5PCoJorVxfoa9XvQIul2cGX+KktMx1aG4yAyEDNgOnnB+4YvRhyCnUd1Nz86Soov7GuYViaMv2qeKeGHhgm2bfnRlkCgl1SEfSe+QDpluGC2sRZaTaFRtvvk5FM+Giwp2LzlH+QRZnKPkagkuvuM8u8CG+636S2kNQGgXv1baT9cCP4Y+vIVDLqGicZiomzxezeFmBvnFM3DgpOyxPiteftDa97ISqiR7LSNZJtKfQoUE7GZMOE+rUI13jGDcHB/MFR1cTDXYY5jV6aK+iN1OdC2AjecISDTpTC2TFDu1RVA7ag/Oe90O+T9BPuhBJGCuc40ZWllfkTKIzvoaJ//jnv0vPCkq1E8TXYYt4ro+vBpX3sGnxOVxtHG3bR1eaLMY+ca6Su5wSdQjc5PRc63C7PilrzckcCu2IghbRK9GxGATv/0Vab1SMbsoxDK1PI8Q0O/w92cMdBb4zwe+BIuObvsF+5C9x4XrnF2FWuNYQs2MifcZUBQDPjgG0yEyN8AMTQxzDpHSbM6EMOT1421FucYzPE836zCLHJ5C2oA+BrSIVROYPQVaYqfRc7dVlLmbmGOTd8XNXYo/vXIZMwwxNfl2Pr3q3Pcvup/xHxzMf2JKt4z0Xjl2ulidJEpnPQ97A/g66kXOXCgehJYAEBLI0Bdh/dEbGRUYMnqf1CGPKSsE4uFDTSY0vKWtOt6MEe/q7KY/FDzIdznGswUj3nLGKAzUbi1NdzAbK+oe84GXUjEx5Fq75eh4tYWxrrGT56s4yTiuj4ZVNVa0A8eykz/1vPUnncFpAGJF5yO2VjtTJRqV+8Vv+LqxWKiu4JvEuK/87dyg8IHU13/0rxZaPyDbB8IK1atOPABE4vsSB+vQvtDLIsqNQTQueCZGSd9KfZ+QccYdcy9y9s2ezJ0bm5pJHL3Feu9MKLnKvR4cDowIUDQX/cLw090MAaU0i/yBt3Yc4xtUwFoeDsa3ExAeCQ3u65czMRwAPJojYvfp4kAqB66UcNPFUTzWZYtcU8XkGJqO752Dvqroh5wNZq5YHONFWlDdSsAdQv8UNUePwkq4FkphciHv4yqn1I2mmHvDMnlyw5NX1AskZfqMGkIDVLq9zg3S/FpY5G9CbSDWZfF2O9nowhz3bm8wXSmtY2Q8yGhPcVjIgTIy/yYGZzwz2+X5s/hgfKEWYrTgEWpTsAzMBhCXqcyjixOn0FxX67g6cF8df/kjXp7CyxzRgXpHgV5rpAcv/fN2D3jFvkidDrrA16wf0QopDZQ4Ps3O1Jql9phPg10LLdSGLFbBr/mwC5OBnaCGeCc8TCqPyJdMSltu03ovcqC5OGtsFeRnk7Gy/WxzrTV7zEIBTiKe85V3i5SL5QM6r+vDkfgk0qQMjq8zzcry42gN6/13XvRHEB20v+aUNihmXlcWQotd5QMRpjt7EBGXpA4RehQ04jGi0lfSBZe22pUD4vuRB56+NugsNnbFEhY+kw+jWpXWPJaHhooRJQJ60OVyeMmakPzweHLj2MSGxxySj5XpukAbLvAjf1wBw1obaSavuQwqu1RLJ1JAZmyNy0tZp7Yx3Uy3oeRFWJTZ8qMY/IEmrbd/JUDM+P5Va4MhVmEaHndHerjjo+QeHvLuRnaB1QYoayyP74bLNtoUNFzrSHc49P5ep+8zQ9KNVKOlYYwCP77ZBQ5C6mzmzTVs74McbDj1I+QoGOy8wdqaYriNQRDBL7wFQW8hzcn+JV0wEVQZvOXvlhnPFz7EGwrXZoNtOJGGHpcj68mgGEC1U0FYCtOCHWHwXM8tryxMJ451/frgzjAhrdaE6+cubIKKHfXVimxjljCNl7OzrohMsji6W7UuR1HGs/jB5tew8eSJHjJSFUF0KhJ50mTcHIBPWYQPyxouaOdyu5ijG1w5p8V/eQCpSA1t55DNjdENoa/T9ajTfH5i47XifKzSPCyeOGDx5aC5H4GbCSsJJFgo8zPfczKz49e71xB9g1btfB7/OQH7SjtrXq+OUQZL1MoxKZR24U8T0IfdF4oHOdAnCaLLvQimW1IwoJ7tNieAKJ1xVqhrFsizfNRWUSqPYiAOet81qiqW9QZNho+ZbE+8SzskylFYC/gmdAWSLV/x4ByLI1Q2HsQbBDEuGPfuVkQaZVya/sCBkhDnRmqJOjiP6lJhjtUoFgZBowEuqRnChyTzIhtVb2Rd8BBH03ieNxf35vnpORKY1aPC2WvF+v/4c1zsAM4nrq8xmqACAerQycF9gDcB5iAusbChm97fT4ko+27msSKsQynLL4gh0E/2akNXhfMXzSFOVIAHYMBp8m1fAXh28cxm+zBooOL1urK+QOMB7YhC8u5zMr7lbMDyEbUWZxOBmgeZvk+LP5h0nQTwgX5C04ClB0AfN8lnV97CiP5o4lXYUbV6r9/Zyq9HJnMFku3cmswHVkTWHaOmmgkmPfmk5NCvHJeTmZkLPlDmjLM3huyKWwtfaWNs4fgFcL/ZN/CCjwXUCWqfUtd1tCYL80IJ1H36OTyYfgbCiF7O/jXVo5eA/I8Wyobg42wL0azmRPyjmJ6Gb45frrnTflNIdR9CBRC0560RgRZcO2nPK1IpMYYzd94A40ongNdzop8l9v0tv72oTx86BnDngHEODIXUm4tUJcKfsAMJHfzmhZQaoMx0uAL4WUXpndmwYSdTBSiIOddOHeAIdlb9BmGlXg2/T/NapxE9NWksugr8Q6UEGnwyj7XMQ/jbRsTzXpsUZjlhOQ3idhbXhMQYT5YmsITgCOvA4lZPAgeT5ooSQHXmj30MtQxYvubE0G5ZhAfD79Qwxem3icJP0CFvo4EShtoDIw633JEHDyJJrHqCJICp1ZgS5u04uxnm6i04HtePg/+PcX6XBwpxt1G1y0HRkZelo5ORFaeWuQhOxOUZLLQRxMtY9wLbgoRimsvUFc11mvYmM82ZeKDAjpE6s+2hCPESgdbkxQPQrBnuuyx3z0oYkkU44tDlQ9BLXaKtcpli37GnBXXqW6A8qJjDGR0rtN/gppBIysCwTYVAeI3SafFFeZOY3xy5aGCbMoNGE7w8pbSro1+MphZcs/2bF3VHKJYAE/uOffzcZMXhGQB650Ptjr46DefzLneXN5LTTlQFKR8cdc1HBQ7G008rQI91cpThJHaM8L2aIJTD9f5DM/lM+tL3omVQEG60wuKsPzsUN9oMkM8c+HtnG7KSO7lwt3fiY2ZB3DlBJoa+csZIpVUyy61a1lz9luikVtXvzfnfXs4k+R27eilZPuXLegJQEsff5MiY0bFpI1IinJubsT+UTwU36xpOisDN98JcJck49SasZVJGXlP3jCG2MzSSwKYkST8IzNjbmIF77CIjkCKE3+N6VThzpQjOYuMgGM/q9z/UmCYYqx45ms5aYjKbMFZ/2qRVaUuG9Sd8ixb5qyz8bGPgxmvlNb9Alk0fZ2K4CMnSVx0q5iZvCCRHXpbrNVL63eau5q/fiV1q5JrBQwpWFW15ObAF1ib+Zz47lgnJGcKDIAjd6iyTyBOQtTTOP6SGyOQB6dkquS33eImzJIVpb3JgfvGHVDHmU9MDzpNGZ3hIGf32/huCCdPeeOelKErNa7/zVLK6Nc9btRF+z2OQkGQUSoDy97X/cbU4Isr1I7zCR4biA9Th7+cpcMJ0En83ZsStFWgdrWfrOnUosjbUNTnbEy3QwopPrG04FOrIGlOwOwYVisgKMwsBz5or/y8/3CJoJZ6sZr4pwcTIhHinhCNsGofNWy0qzTvPzotIvbEViGwHUrDkfd7OUDV3RSSHelh5GTDlm3Y6L8PyHxfzN93/3Yo45EA6eLxBAGDwOswbn8DjRiOfu93Ery7vL+7XSBF8BVzhZNoRQ344ZXkkEpVW7A64H9xNqUoYoNZVv2Ssam2wBsByKFmUNk/kiBQlyMCOahu6P59u359J32l3lanJUGetrN7SY/KNsgAto488/iY4cZQV4Sr+fkQjHa7mU7/QQ8kwmjt5gPzDngGfIEe33uYwS0jHY+kmTmptYsgIXOpkc453NVg8DD0p3tzPvJe/9VKyzS0GUPy9dkXOxxCFu3tExEur1cUnsQJkOXhyu8FjfP1mU9lZMUa7fv8OAdwVZCRCxQyAUWqhTktYFPfSCY09keRLjH2J2dJRXTvd39qO5lTS8Q+cGoqdbvC27E8HIwg0bO3C4VVCNgKsvcUxEIYnlvDUvjhiELh0DgGpXK+/Y1WGdaIzB7H1mb0NXhZS8JVpplRgnJ+QHBYVA84MwQwrP4/aog7J36jsW+e+hE5r69WexYZg2tpJILzrpVoz62fzjDiNLCG9HElWh45cKWAlT0FJwJl6PxIygG2n3qv0KtXmGFkCAeMCd+3JD0E6sDgOKKsfxJ1Fuu5G/OTIA7lH5+aYfYUERw8rIBrdMGt+m68GAN2IX/bIlkoZQjF8kxVbctODYZJyUsjeN3ZvJfDlj/Otf/5HwkN6PbWnoqbj2MODW4nRivABCYzG42nheAYs5aVzEpsND2Vn4jVRqcqTLxFMrIkI65Fc9DzDQS6R/9YUeN93Guk9euhPzezKJknkVyQVtaARpO/Km4Zfef/kwwBh7o+aejRAl0Qk0AzK5aR7v0a8H0RclkFl5GxrW2SUf3l8mIc26lLAiMYWBRvjOzMpp08e21fdeZpoth303k+WJoUXlrYCHB9pNEyPs71CD0xaaQOzayGqB0u8p5yDp+lhuh1aA9y5i/Odiwb1tw1nzKsrYhMfTYwvDYlaZGmNdICS7HH+VMhSPzwx4Cy+XeP26l0pIiApmmjaEdCsVPYNDoj+BmWPTYLscMkC64wr5Xv4tzDRqc3lMz1KDxZn2Eh9CF6prj5sdwNL2St2M1xVU7hM7WUBQzCVhORmS+jZrntyJgpsyy5nB2W5z4uIOP9DNpcFcv/cX5v1Tp8n1V8Y7yrvGUs0ckw+t5lI5WT+XMzDbZM94zw3f3e9VM7YW2ssPERcjA/neldP3h3l9ineCHS+BJm7HFvIEuZfqHYKW3npBjSPDmyJZuyIKkWT73Vmzb+ANaTkcWbSSfyXtpHw3E+4BM3gInD1+zSiJd5KZafOUfGNRB5ViDfhUOG7FAWfmYg9pGnfOgp8Ph3bQ5jEj7neyq/mMJyJZIGp4c++dObv1lAA8Ok+vPjf+tQ4Yqekce12LM98rV20Lz9CQjfVYkEI3I/pdTJjZKDRpYIrmFGG4tySRIEDrBb67V1kkg9A+WV7xs9TxUVK7/CF2fVj8K/wDTtpW2CubtFinPhOJxaRln2/DqgtCyzlxqirXFO34wQ7G8s24KRNfZT0NPPsFB1ieNGKwbp7OShPiQqIQAYHFe4+kRgt0QGUOJc7oRr8Bga9ZFFG2iUh9PGw3xxGeBTa2grwkBQp39UYhEAF1cJd/8fbpwjSa9JCT09HejuePr9j1eK0hgAKGfHYq0Pmx+JH+oHAJbiX4/Uas6W4UEpMckswtVtoFLI+3EzgC5pb580fw7CRoDcCM7tWZnzjspuGQnogNBV1WnAjCUjr+8XpOUoOTL6hZd0JM7QnEETc8FVX+li6UJqcZQuaqwiNYWxmbs1fI60F1hEUAQiMPVEO81mlYMr1qoy0UB/mRx2rLVy2Pi5RKxv/2Kxm/uHJ4GumUVB6ukyCmiTW2BSunVMqPv98QXFH6PCxriDCzbTR5k0abOx+MraOtHD234oGScySx9RLSFkruRpFzP5NDx8x4dFGvvrYNvuWqw3cpGiWR79zNgD9hy65mtgIrAntIaxQ8l01tYAgHcbhzSsjAZisYN4qnRMAvJSPokvAWEOs6su4Gh2efKWlCrYtFtZNgRg3813//e5onqbgprH2IfbMTE30TKm7HM4vlz7EnE0/OCqcUgoTxVO4jUQIsXWzPj9ZPr89ApmcJ6xPTuplZYo5GhC1KmcQnad2TgOyEeGNmAferfJ3K2hOa5TV+cXHPNiUIG81G/yErkTjhw/15XRCzqNCRX/XCM/4KSlYUgy70yp/ARAGgOH0mBOWRsTW0QURqCZQFDaIrrBHxsSLWUYK4jS/0IA3eAIlPlHi94SSkyUZgmDUiNhj3LnM/ubHSqnz6Npr4sfikM56liEogAdVj9n/OFuceoByLaRrKx8YrciruQOGWj+OmpcOUa8jAZSZk/XQ77AFnMTJjLBQ4ljQS6Q34HPkgnE4oXO90KQm9W66EdGfNyBKPRdDvfla6w2od9Q6772B+RIv/xsRXz8OxSSBTH4U9UOgU+CHApe/rmrQ60tRZYfxZnSDAgSnJLQ9iDa7zVEASEh9/P/DRYk75HXvbe1P0emDH0wcJVCvbpN57IXxzQeEWgvc2LM68xPaIfnukUQkNKTFgp11nmCfFgGQ9wrUnwgZF8CgKRfyYKPj28f2v19mOvDJfM4U1gxgVkVq+9Shs0jUPONDVjhfHMU4lkMB04T7MIORk0QGWW10JsLA/PrppxEQzrJvD8gyJM2cMFf6XzYncMXH0LR5FbC/VPgYg8qw289y7XmmmdvbyB7XLiH9Y6L+mHqkQG0y/1Ik/Is+YEjJl+KQ9YEg5eXrHGQKwCiV3x+Lwi0vNLrX3Gifa+zD49xDfEjm9wpA0Qw+dB6zMQzMlIPI92HsaqgXhkPkHvE5oNmec6fHU33ywwJBq3zAEWj8AxUaOXY80BIdz7UIX1tB10oInIjb3MjJSxdCkFiUgeDxM+Wjg6du5V54ZjQxboCe3j1WMXZVoXHhmBE5BZSsJOPU4i63Aoxod+noEGyq1l2zDHKUEwYt9T+cx0PofrU1DfJcHAqBTvJTvno5JNkkIAN5EYflyn2l47uC4tzBjilQFtbSw2QwOBijxD5Kxw3hzhX7sdOFmrru8nD/YPmlLyCAzUz7ozd3GLYytcSbFooVIijYHwQ7Fg8CNBsP/dPbuiRWh0/Jz8njavJ9gwQfTcD5PSzUDvOs4nQHJgcK7t3tNMHmcfSs+5u6iZ46VD2FehU6IA2omVrP7AI+ZMQ7pRp+MPBK4JvJRIqTcQj5OJnksvmvQCXfidEVJZ7UTrIxHRjxpHF5zDGZAWULVFYxv3aAlZRLvZqQOv9RZk1LIJh2v/EJQkdj5t7AQyp6+VSj0IUAz9S1wgRd9mtvR3+NHDGLCX/QWocUJ8zzbVwtvmVBU0OkHHvLHjzxn/GCv3YeeuK1YytABA807mevKoL0Ot7ejBeKSHxeaBg6W5VoT0PgCbo6f51Q0q7UACDj9pxvWGQ12rmYtEXJcBc7C0u10So3PlkFPDnqIWbiRcYgmN6yjQjhI3jEKDMZ8ywsztiSZWQ1IzlQZgv4BDQ5+4hdHNcVlIxEPuanP58SEmJa7jd9KvxGuCz4TYK0NOlSyUvPlQtVibRxXAmIsPwprvZCnum5PxRoI+RlFXx+oCFFrvSMZ6SRk9Ly6ArD8FleuLjgCZw4XsN45g4pMxa7VELPeqp1MTei60/5OmLCzjzBAbkNRc+/yceNiDbZ9YBmSSNSVIs3jZpLG++40cbb0OT8jp7X1n68Gw9ridEtuuRyBq4FcbxjuuJG6K9mtdYJ0TrRrS84iDZnVWOwzJ+DdnAXWz3J111va7Njp7+XUV3pcQtwTfSGNOGiZYpWPY5Sd5GmE07qxfTj/iePIs3J38kqi9oqeLpRWGxm1P48nBi0tabRALgRkss6C2jjdZcts0NQQLIYSuDODkx0Pbt2QPLCjkbQVa0lRe2/6vILOj5XW1epetwwhU2SeorPElVlJN7kGfqBqeVis4f/ZeEwg8wtT/deGNVt/aadH85OZC2VKVgmhMv0OUrwCd+/u7mxvQNw/rv/D4a4WijpixaV2rwbk7tFiMbr4au/u9y+t9i6+f+3/++r//r/v//lL/+d77//57tVK312OeU4D8TKpNOPbBmt3dLOReUHG8hIDztDskeFzmD8/bZc0wbZuIHBwxnNyJlGM/r2tVCnvgaxp2QV0U6daebBa7IV39wKL7+r7/f7f3avZ2PwsKexkhVAe9ZCbSYSx0mbd40nJSaXScTmSvlp3N5UPBSVcGmlxhHQ6EnDTjrInI8Sedq3VXRl2E1uwkXjGPvBPQXCj+S6m8Hjm1QR2YyyBHlIlhwCO/nnEbUE1sJPCndnDMUgxIjvEGR4NhcPhidPUZ6ZlBA3eYJe+M4tsOXNltbgEdnTX80KrvdBdfR/K/2K5HgczKZi6M4wErAyw0kwSbtIZiJk4T4xRB6IaRVmYMh8Jh5Un0RWAtVL19GPiHqLCAaulEm+4jBfAHC5amSAJWpi9iP9xsLaTkl+YMNe/IybimRW+UDY5AHTc4rXu3k+Cbnc5TA6mH21koCgRJn4vcNfiKV+KZNRVWxWtSt0OWp2G2nn8DAcibcokwOYfTdGuz3x9cilTSvM07yocqdZOqc6guzgrA0vIomNaG949lLq96EFF02rRbyy/1H/RZa1sjKy1HEzQ+KpvYObVTTCV13JbPf6E7CbK8qCY1SvE7oSMvEDq/E0vPtTrK609du3a0cR1/r/Oab6JXvXXLcQ9HgYrMeSU6BXqwEfd57WSsR5a43b6nH5EMwbZuQpYShSNnShxd4wgvGjZ/zg3qMNdTv+ZKhiJ3Eu1ly6j5Nza6XkXaiZCXfAf//x3H1W0rZmxI88ECIiRZ1sHNEYecleH+LpGWPc3kJUQOYYYzt6YVjhCjIsD83oSDimXaZ5MZLVlctgsAYkY+rTo2bR2bBMiJ1OHWOYYOFo+GBCFZW5NXhHuBx4gQ7stnBKj8AMzNe777KoHYYNfd7dsADO/mEiOgo78zRh6weaGALJu2aWqO/Ljbgofw+tD7n/amqLfCEFPwFsIhrJIbfClmDdH7uIHBvGIDAnueuNAa4nRm4TKlK7hXoiv6/LB05Zb9UIb/yWwMiH0mbFpqt8Js5XHnQGTM5rIVF1WDLzDi+zULpIQdM7sH9PY6dJH7mOMkp/O9MghELPZ+JZTSJscRgaAJl4Q7hCR9fnIPSc88bU3KoBOOyr/9tHFCE5fWHwo+0eIA936poE+vDFagujNRL1f2sXnZHAl45SVWpHbujKdOr5e9Lq6/gRnpbAOpLi9HZ5NdNRnljo7dJMA9oo2BvXdyx8+qSCYbBByO3EWxJzZa1Tc05oI7NoHAK/DuP82sF99sflyilcaPW04ZJjopcWiG+pSuTfR8NAAM9aGeOwBf33rDNrnvLvzPqYOw1kmTHiGeBqbLOoc+50AnVSOUkqAdKGTHpfVLYruYnI/Pa9jS4APCXOBtNXJbPH1eiWwFK8pMmavbZSe5bX3LnHo8U0Odc4M/UvSwmQlKIu4JLDI8wojfbGgF8ebnvFgW2Z3IFxp7CwaeGzez3SPW4magcUNOOL3j5Vs7i+mjwDdjND9nMscOzGQ7k0JCnK/u+AX39nJobaCzvhwCs6CrzUr4mjUKsZAJPXbPZh4HbQQpKLOSd8sdEh+9EqI5vw0oDsRJD02rPpwXelEEo2YuZi5lacNwEgW5vXMKK5Faxkrp2zX9YO9K1olaH7Wvxy1Rwx37wDjOmtTXQKYoWz441DmDhgl8M6cIa1h8/31GGn2pZheVggLBwaWN7EBRpyZ/VWnIyfXu3Hyr2E1u5tqrFMS3Pt2/pyXH0MYrYcVMs4ZmJBb1nWBZkGVzJLXecbztihyw4tvwaEp9Zyh7S2dUGko4UBCdQQthtll6peEZuZG27G5YkjR70oW41XEXlg+bxbEw0NYwYu7B5S+j84Mj5DZLm//RHCo4Wd0CEjRGREdWh8yWftqT1O5Zf+PoQDjYas4ozHK5xfZ3v8W0NHRdAq8PgCZ5LaezZyBA6bVaUYe/iy0LtmrnOERovtTQ/iRbUyC5He5mONa2H3E3Pi0rfxCx5YYlzhcLZcnvZgyaEEmvWiER+TA4KcZppeVLJ0/5mtdiaJb4gAsVQillbK0Dz1XnannUn9FtiZV0FKO+Lfltd/Z2+aQQ32cdYi50mSldOpWkrsbQzjpz98Sql9tKDQFK8kU2XEaRyhzd35zAaIJaVr+4x9/RzLHu/fKIKvVPWmD9kO7z4XFgW4d6Din5QNaaTwpR1o9mTazCLBpzoFDElDHo3RXUFLR73OxE7NdNWLGWMJdmocBUGxjWpqsNhV3bXjQCsZjzBs9iADsjaDWFE9cAX2m1OOuorZU6v7H9U8SMXY/jO71eXcxdUOutZOMFwdXP9bcLxTzveqHA3z9loG2HVlPDyQsNQ+6PNTyOcxoeC52BJt6+ELE3mzGMtT1kFMBGh0GDc907Athr0UsecIKOzfJZXbURW6ig8T/r6o32pItuXFDAUa2367stSz5//9TGcR9ABBZM8szlrrPqcrcO4IEQRCMg04+D2ZDTGwKhYl/mFoUdiztV5a6ogu4T4HKN/XBScvXLGhbkA/TAx5+Ny9sIKBE2x+w29Hxrji9PranOHcaTNwkdp13PbBK8UI+3NYWIWyCodDNAlcOYi0UP3LtUh/7J7kIrMqI5CWPwmbai6m04O/lhq7EeicgW8H4hktxUlVNpH3PMkD8rnun4CVxTjp3f1qX7mf1OSnBb3ukO/foTiACtVOK843yCjzitgCQd/NgV9eCvrWOJdqDP9KwXBtFvMKZXdDq0uqD3vWkniCKj0e74iHmza772C1ilpiE6t+7enJhmvYOEY5aXlxv1Ftcwzy87GrWQ5ZXsRMBzZRDZA/0HX7C7UnxdxaFL+aTNoPiaCVXdfB4CDH6RHFp9EZR4YCHHwxnRDOWBkEj6RA5YWiL/UpZC4j7pJ6WhPlq7o5Xda3SHPH/y8+I+iXDpv4e7WuL8FKDg70LF2qlS9DeCu51s2fkTtOaFrU60DnITZz1THQ82lr/mpOSWLRuj5gAquLw2V15nrrXImHHHLhIwqMjhA9T46iZynbse74yIo0YZASoWlDweMT8FQVith1uIsjo43aSf9JgT8rEfSl16DGTUiUNKm2kJvWMO+fe44vRqQhPlQ4PgTkCoJt/21Nljk1/Uor/4aadbFw1s6HS0etmxox/gt20RnpnVm81Iu0OrNjjBZavBrw2UwqKiiYjNY+NwHkVF2xvQsHxwIbeM0WWyjTpG8/bUjZn0v4oeNJXv4mOlQyou4dz55muvyFBf03svtGsYC0IOPLuL2ZOl+pARnCz74/rpd9+IFsHeOuiz96+klMRbxtRr20XFxwEftMz8TXNtapJuqPZaQHuL2gzAUNKWsjghc0RdThJOWZF6T6m2aO0ecA3mTidZmxWngXFu5DwQaSgk5/BWrchub1snnsfDJ/Kh7bRD7Rht015Yq9zSdZKqAqcfsT3n36laD5uMDxhRY89ItYTYEm472o9Au59cbUaIr6rk0/fP8ZiMwMgpIJ+mj2+PG1gljEhvJOFjoBzFuvN5T77ptmqI/NfDxPyiF+Wp7BriWg/DIYXYeszYLsF16nehIlvL//9//43SthQLqkZhTpLiXh8wrvLkD5q8vIOucQkZMeA0BYIv4KWagAlnzVwDh3D2eTOtFXheIk6ZiG0lpqLEpfPJIptPCzsuuNmVSvJ5mgWJ/hu9IgEdnbizIkik64p7f2HHizKPdHv84ZiymUCADs8gXGVPbn9Amzd9Yo48L1WIRR7cTd+DyIlri9RLRnAnRrCxfcLEGIXPsZNEay6QXBWd0AcxDtbuVF07dFRtAfCWnSWJ8kJdWm5mqMb/QvdiESGlWpiCbjZdHzK/FmtoPOsJBsWQ3m1t04tdOzhkkvjRsJ0IhyuIOhj1Wiv0HCpvX7XLS8SebbOTXG2SdPf1+h2LNSBzcyhdDiL7Cefx9GKot2zjf8iRTeASOUCQ8Fr98rIN8mJzNNowNBbf263r3hAqxWpD3OHF4iy2P/NEw8erdWLbJl8k7HEVUSZjgxsJNrjia5h/B2hV2e+C5nKDU80KYpxZEIKqifF7oM+lpv1ttFCNvsC/VdfCHtXwvJymfWrGOB68FImxOR1Bzpe9hQfFpY1KokRoHqYpQ5/CTOluSOudW2+jyenQ/LSQLCRyU0zeBS3IV8uyHJ6zJmkyMNjAxAmOVwG5duBoyPSaY+/PrQyopYJoHozmYmQehpT5tnOrPdVvJZW/C9+ljozQebFHxjMq08omE8D12yTY5mJEUx5W/v1ubjwl15/goMJZPi9d8CNGtaoJEIje+AuM51/13DlrqDvwpucv1tSQK36kKD6R4XPCQWijuu2zySC8O50Y0PiWLYJeYRMWViVLEzl0jxuK29va14uVVcXdAz4Grs0iz+JU90OoENUDwOhTkrpeayD3KPn8gPLInYycVBxi1HmFkOoDekVO75rJ29Lh20fm6J32qY7M0t8LG9SmuIuwpB5PreCFIdMR5A1KDOYu5fw5gR/ivKVbxGCZifTnvQFN/jLUm1nkWlONVJI5X7ANaeAsmfjjhwdInWA2lHQn2IL3RHmy69kV7E6FPyEaiy83Zk0Sm/Usd9BomODH4GJ4VRsAaLYbXHBZuhtxYdDfKXJJGLEX+Qg61eA5c6ma0RYnzfQt1x6brUMUbznqA6CJLuzbKXNOlO7xEZkcTTX+9ddluZMWgMbPhvFP6Gw2ovv5KL1DN5TlvLQw2GuMFvYsHczaI4vOQocl78u5xVksVsHuiH2doZrU7kWA0wQGQqzApYVVO3wuT3X64zno7aL+dDTiX/qh32wXFht5rxz/kPlmINun5sIoIQQkU2+HKsAdw7c9gzI/KMJaTNhESrtyAfn/LKEV6TqyDwEYMxkw7IcZkf+5JAmNOICx5fIkais1cL8YCwj9TqbBKw1LlujSx3kAhfHgfzPf/7llFJE4RrnrSjleuWx8NjNEiOMXfnMKC12ul+YKsJ3VNFYIVNM/FF7RnrX39xqB8ZD083bIsP6AnIr6URzpyvMkHhSGLigKBpJUL8e0eNl4o2M0eDPPM2UHXEN7g9rSgctueZ3+NE/G1OMJFkPcCs1iBGUpOe1qtS/CNOYjAApvEzugieBUkm8IMQiRHQMO/5xk7vdJ8RHoTM4gi/Lbw9hbjcVWhyp5YJFezujDhJArzprzaEuOoAzaBcbBRT9CIzMICKTxJvJWn/cn7VCopbLZXGJD4G7lYKoF6jdoRbJkuaU6XTOiBmzj18eYBIqW6tDmCBMpSWUQAdgsHejjCcXt5c5HK2phxSLwYe5SJOiNQe0FaR/temHiPH89Ej8LCOY7qGPcMreB4YMbZjndvXaZ4DEA10rs2K5bcC0i/G4V/tRSkRpHdv/hRiBvgIyUkMSUvSsXMmbd+JE3VMsZe41rFElNtFUVsqmxeCutRdfSbuCZwKUkkgJYnddFAywGo+LuY+jd38Uvx2G5Hjgq4c4XC2gsFYqAGBnWx9n45R8/XbEg7B3zHV38r8i+cV+uk48JVn+4IGk8WbVlnEAjgnbU0gPL1axXegaRgNBFCpgJ6IAn9QlOeHXvgCHvOIZCEMXAH4qtJKMJOQqIGh/LELdJqsEiXgTwOoue2WHu1YFkpJGXrv0C1Ro0Y65DpZhfBBQCQAXcu/levIEBPYCWOnsWV64mOx1Isnslnar7FEuj2xZwYMG1K6OqQ6/QKb1KKAmbg3GlLrK2cywE+cIyxpb+NsN6P5hm8CG2b09hkNT+PKAtsAsbi2iQUH2dqw6FTasTahyFxiHrRCj79mOiFy+SMpnvKIErMKKDq3im9J0/cfdYHf64EMCz68tU0du06gXWbbIcIOIEo0ZJHT4ZxqtbKADcDXDS020JAB8ZeEAZiXJuGXYEAGzl+4fUqWaCjmxsLro8aO+woftc/YPMTRh5hRT+Gffx5Oh+AxnXNQR2H/Ug1MjXT2tSuFUik54R2kbzAPJ5hoxFidkozD0e6TVjaXG+nruiN92mPCn7IJ8EpZjHxYDs2Ijf1isR7VB2/CCxGjXDVC1UN3oh/9UJ5tiHY/0znMa4e/VEpj+jx+UdVG+sK4HnDWlvMUYk0vhotHGQQ59xdLMD2yjOuhkcPLGFpqUzKmb9TVE1yr+K012VoF6JjpkSc9LCSoB9IMqrHEAQIfyZTI3TsP5GQadEZjEHyz17URQ46cW2bTjnsOcNxaE6Ex51xDpRslmT2cXAcZhMPaCuzqMVsn1rgM43pvsLFoA8uB/0Or6rYLJn0FmJTOaybDC3vvjDkA7/q6BWtMwidOY3fcs+SIttbbrVRfIfFW6lR48FPrrsTu2totRlt90sK9jDF0abAQ6gdMxbs3LcUDu/Z5m3zRJSN7wQmkhBpIul/cVDX8Sfpfl+qawvfICtZDtKc36ex9dZdA0Sz3vGyML862tG8OC5yzKG+NjtoMcfZlWd+yLpiTpl9lYaGZ7AC8K99pLBGrx4a68rwqKXtXV/4160BbsDQvwaLFBU/SaqULTUfBZaGWq2l+0CQ4Iqsu56F20T1PipsIezr4y3vpuAJzxdCRzbAmrzIi24k1173C8k6+E2S8wpU5Nym2l4XflGe5V7PxCNxlHeGxfJl2s24w28gfQi3QUHJkRhYE0VgIdbzA/gKoBz1iHyXUoZtZsy9VywkDnWe6EPmcYGIe0k90v4BGu80iYVqMUDeebeNsbm1raMW+B4KqYplnAF+/YV2OCjS4GFHQSTD0HvZThMvrHEql4g77xLTfh5PnVHg+UWIA0gChXXYvrudi98lRJHk+Wtpq8dZ3qfTFMQ8HtAbjy9RX15WPwBhoW/Ajoo5iR6/uUySkRHXmMSA1tlR/jFaQCJ6t3Azhws35xwO+DeABystLF8cOYD/A1HzWKQHDmY5KFeq6Is7S1ay/RHw8PtsMLY//HRXOweayI7SLOzAwntdB4fA3m0VrMhDqCySJfcnJ23kPIVzo+55NYPrkbwzB913ujU8a1Yr0GHQv3kXe/EvathQh7gteTX4qEHYtqG61Kg3o+GXq+5EG+7G63RzYyGM5uo6Eb1Bf2TvJzjUBof31phuTSDqa2Ug6mbcMkzlnvZL9v9z+97sj5INcI0UaD3tt6B8ceMMZ2sfFJodXA4aKX0ttT8vnwV2g6PP8VpVOwDGiBGiFQwpElU77Wd4WSYDlXzzXJnGNJyYnzZ/yBQQ+Ox+/dFK5LWyQVjnQ7pRctwYU6YUjA5jNBonn1Gd+g2dqondyAH2SmiPScLqCMPiBNlu1Z9hN/cU/vXDmz4gRkuJB2MhkiOzAY1DK32p38nChYbAF7KheDiUhzUD5bxjwH1tYNV4sVPiec+mZGL4f2IpO2cPwP3842Xoss8tOF0dy5lE42raAg6Yz71Ywm/keyNFM520Smptq8TvqKoZlDjZqzzDyGc2I1cwbWv1kjb+xLse3KqwVm6QeEk/UDDilUOBwVqYt8CooSeIK82kYDkiv/UscQXAGm5BYd2nX3+QUIu/vBsXdHWrO84x7isxNOQTM9M3oeOq/SQGr9QJDHaeXTbBHyO3PDu/vJeomX8jE8G8pFeS+CYJfLZRziOdhdzBlfmeCxZf72G4T7ydQey2ssi+BXFqPEg5bRoepFJ/Lf//dfFmF9+9YExnDAwTgSriKAuNzZw0L8HwfE1bfPpnV/oP/qHZx+JCJFmxwEcWygrMLQLC3FUz8Usnlbn4oLHLfc8BzwVv8VcQ1y2B0BI81536UWm84LYaqMNRi/1JE98NOAf2lkp8um+UK0D0E9uYPEZqhdt4HSGHFN0bmTzHIFtYPErT4u5Rv/sJOJksoeoFBMKbBoritzzlxn9PxTtET6Wwp0QqO/6LXEkVIyLEw4p1VHKBlcf6TFMVyd10EzeDuxKkCPWo7mGfSC/Uonwl3vXxBCVDFEdm/kXu31OX4uzW57/kimeQOBmXdO9d5O7yLxrZ1df0e8ydUy9CiAhYDxiSygznNOmAI5u9e4GiaPDEt+WQ+POvf59N4rJVDVlH0IcFe5OSTWnifGxG1fmglwSFtoeLQ3Lznc3oJnW7pUZNlGk7XD+zKkotTyj/RCodmQzIgZxZuVeYeoIezhsILf34xx0hTrHjddblwL0rPISPnufxe8gq6RoeFnGFqSvNzRvestI1aitzGAhvO8szJYyXCPbU0KSQSk1MZ8EcQfEPFoI48HLU81rUaq/TG5XHsR042B9DV5k+ZZ+h8zrpg8nGz/FrvCpDHEtJszSZm56Lw2pcuBcM7mD7wfaK/OeURRFI3njIb/C8TMXZ0zJEeLQxEfnV2xovCmkQEoXNu1+06dDHubhc4ou+G/qX5ayQ9irX7wPpWlhxcWkC60X3+N1cVOjx5KHTlDu3iYdslDWbMAZGluk4mbCWVtU9sd6GpPOKIkbFlt7utz2D1JPozLZnje5Ek3oeCPntPwh9VVo1aIiXCeu7uacfMEpjgSbEloLUBDE6aCC2cIru5wtFjumSPtEcSPFbbhil2rMUGbEBCLfaNQJxl6yosJU+qQs8ChuK4/iIkXb8pp87lABdr+1PEffMnEFyVicQkt0X3u/lAmFChGKy4CWF1nziLBztscILJvuMLld+/BAX/ARZ4QALO21FJGXy1shu4SzHOYDVb20SJuDyuGDgNHV8ijcghJHplCz1wQUffEWYIgJdUkqq7ifqbosEPXeoev8Bn+V3AEGO2e0d5VBu2t72FGJE2o+BX+MRz3FfVzDJvhQ3pA4EqMiMHyopbGWoH5FLnC5iyITJ9JgJLMAT+e89CcEVa/DhvyN3IOlBl3wZY0Y9SeZBFxi4H0DLwBMmi7rywoj2yBpeTLTr56Dk22hGeK8RNyxZvg8yaAROzyL92+ZIbo11oUXdqqbzFDTeoHCw+s4Dl/DUZfjeZUtdEgUbPHf8PwGTHxlzaTLgiZ9QRoTaMN//NLyyAcHFJBs2rQTeE4ettpxU4gQOhkn3+gM1uwRjxbyuCJ//7Pv3w/R5TSWSHw3E8DCZ2Kq4d/M7yJPanwVarwoUf4PybSpiDFesmpSpI2+SSt6DeFOJnff6Qp0bapEzEKPhybNvpfIvSnrzf/hMOqwUB2VRyktvBs6JKuSy4R2iL0aBRKuOslwcZ5Z39Uu6Zi+55YPFgpWyON2c5UFCh75MATYRb3fUebTqoOAUTc+/FyEtRvldfm4nhLS6GIUJoOm2bGIl85oT9XnLTs6kmyXqGZg3dXk81nTP/vaC6dbZDr+B6FPRdSiBmeIqnYgNn3LX3rwhJmhDOfO3LeV+mxykxfyFRcvUfmF3K9gfTB0nRzKkZzkkBuZx1KobtT1wHhpASz1GcyNXbl/l/LqEhS+6BV4JD+4Kx26vSRxoo36k0SUR51avmNErHfEiYJMMLNKG7MZDEjMnafUzMMQGyjR7+21gvXefV9BfxDKehHZY7n7dF2+0x4kQmx5qPCPODYiIlk1hBOQhWv9h+HVFc0q8Xu3RV0sdDKhnR86kaHmgsz6IvKD87kMxt5UKaFbOb11NQ8xqqCz9pmLxcjF4iowFHCoydGMYVWBZnIADqhn+3YOxr+1TNnda21u5uGmEajk5mEiDQu3TK2zn74h0BO8cyo2HJ5H753vj+FyUZOil2mdR9k0g4/Z0Adu2bGZ20HYx8Ff9yt67kQjW6CsfVx/tKatbUVuiYDUOa6kQfiNHW6QJBrs81ru0WXArZX2SVaefcNorlpFCsibMOa7PibGtJQhfOxLywrwt3bSg+ieAlkukJuftA5pZjEMBHadV6icXBrxrift/ZCLgk1ixv+lplmqn2vWiQbkgv44KEjPCJJhKVfSAGRBYerwfFUR9yuHEqZ/DWA5ridlvqH0LdBp8hd4Wr831dthPhcB3ABF/nshYebAsOkFsvRvIjkP+p/Z1pwENE9cpPoyutmVLvoIGyWS9nqDm6wuIW3v9GiUZsQ5vV4XIy4QTw5J4GfMJrjZ/cmaY0NPo1ODp+o6slPUt8zrY2ojhC2D8KvbgSz9wBY6KTT7VqphkfvdsZStVbZTlMZx0tFb6YnwNl+mEYQfuRIk3kdVI3AnXn8YmmBsSYc+GMtYJe9b/5KmbeUDrL+N7JwE3W+k1ZCm5iptij0s7Pg+D0bJQKor1JLJBuW24fUs0LWc/kBpNrF6eJig7ymoSjN3JRhWqTAiJy9AuJPYAfYqJ3bGN5c4IyR+hw6By2FLzm/Z7dX3tQCaV0Jeg6EdjyiUlYhINEHBmWErniOy5ENNYmixUAOtw0iGgGRfq9lILVOIp9MScAkq3d+KsyZCxWsdGa20owFJiy/r6dDXkqpQ90A6LKZ+6qExW7awx3I57//838eUky2hy0+w/4xmnFtbsKDuzeUoUhoK55xTZaOis/zQz6JoHzktgsMtRD7VQKMsslAP7gEKToWJvDyUMqNFIVnBC+Rr+EGTTKT/QEr0S6I88oyB+xdq54JQR/hFnM5BCNLVE3Ed14EZkkV25/gOKfgIA//m/QBov8yZKhPRWqllPBCxPbzwEubTO+ByOjX89nTx1gGxhPmclMArm75o7ITAxcGJoQHJF0P+JrnxqeFmrrG84Gd7Wq72DUKWsGOOzRNLTsC3AZ6VYih2Yf7XZyp6WcK5d7qnE4KGwI5fQ9TuM05/uDdEwb3YRVvSH9yChbn0YEXGOpakRttX+vwLDKzTtSQXSsfjUyj7LOsSW1IntgcPbgf0BeAo1+ucA85XETsbbGTMVdkXnhgLt+4zp14B/qFZhzst+xlNDDOmSHEk7c8lEPYu7pF6bWY29kgd1OpYjIFxtUlP9YAOxqRTLZuq7X9RgBtqZPjPQMAMZSu93mP806L5fEQE9beoLv/3bsiLr7c7KDZxBsf6YvKUNKmifmSv+M21eWbOD+2mBcieAiC+IZkcjSLZAQzvJrD2GKmVkS1dS+p++Rd7kmlHGMiX6tdhXiRYH7Pc2wS+PFDWel8AI43H9OwbZGBexeTe5NIkNJD8YtKEMBCJ8IMB3mf0MpOMiPwOWeINqHSISW9+/RM6gdlDjOMjeSNNnId4WsLAmNtHtyn4WpXFL7Q4WrhtSGiJUDXGdLWn8vwe3ZL6m0k5I7DFGg40QFnBjcurkcu8kwGH0PuKfNfsjHrczn0lmxnwCWMKTNdwo/wX4oTtbTK1DwAEzyYvpcY+XmqLbidqJi7GHiYgffNYoawYgLr0UGihaaZwsif/UNhWY9lReTBtG6eEeo7SuLwXF3G6ejWwz35G0YX6XyrQrkS+aKG8lZk4V1tDSOsTTNXVMOJL/e+CTmQo7mu/KP+DsT04onoBdKjuZGdAFdvYCD5/BVbiCnLzfS8b7tLDusfNfSm1CHv5iYkLmqT7AtmJln5MTB6WAWZmmvvIcVYv19TxkCc2WsiZxFJryOoyekdWGX66hsI/YN+oR1ZQN0Y/xQaJRfCvDq58wCxbAZwwOQTfyp3CQwxQdhuywFwC8QCQcLU5e++LKqwZIbtWZtlPquWiXV3VlI6LGEYwNZQvsL+AWOmsA6fLdIOQtz0DWYvtk8F2kN46QaUxerbVAs8OTVVrcn0I93HxPp89PdE+Ydwy9OmFjKvJne2l/EkCYZCPlZqIw+6RAY5pTkPqU7QgAdxJJcX004nlKthS5rtb8nLCDw+Q115IFhEm8UbYB1SEvgMr6sQ48D73BODtqWmtsaAiTbINIqlKVwsD9zet5BwZlbL//y//xMhdW6CKzpxyAunN6turDeMQTN+xmD+pime1JsfF5XdDDyUFm8MDVhT66wg0sc4BTL533q8b7WZU8956ZG+f9qyfZWQxZsqN+hXcE0MzrQgq2BNJRpBPNQsrldS9WS/WJi6Ip/AO41KqQRRAfE+YUsxtSmW2sCX2UykQvHZBl/KPFYB8U9/hAeI3QfCtVVYylhXbJsps985T0RPhkzYHq1v4tryMjzoC9zGxUqFZQ4uhUSJodSW+cJg+/Wp1ZDhk4CbwHTVnRkGqr6iImbTvnJG8aueGYqZk3Jttd7iFfowly39ADEd6eRCNC70+zkvzoEQYi8vjZFa5cftCJuSK7xHKw4X8bSIhaB0reFDPR9Sf6IRn5LnV0vfUOSxJB4WPIiCYvJhoqq8g5sqdRBzG9UIx2QrSrEVlgLbemriOCHQJZFoQ4Hdd6repQ87aY2W60G2sMofM4ux7Uq7v+rE5p/hazHsSGZeJiOVJMqCEtLOnHQd7CavXXH3XsHLoJwb3XWg9KUIjI544/uESKNUiqBHXG0EpdTet97jLg6TgeTX3COcd81ZXqTJouYHtOaT4tDscxUcDHlCgTWBebvlZ1zWWQd6YRqqYwIH4hEwGZGYXiozClzRxI5HLHL7TI3GEEgAlnOudPx5nU0x9JU6/ARhsq29sKCpxnLgmFaAQOpCZZZvV8CHdkJyT2Cl/Ox8uwe65qt4s3DRFYl8HoVSmyYE7TKTok09kbnKQCqwRCgggvuMmrXeZt5LxZXIUfsmcORQy13qFAwMUEC89zyBl25O7oS5VFFOnlUPxMJPwE2+lufCnUWG+K5odWJKWIEH+vpLGHXx9dyIOeSKn0OJFvj7KNfDLyuPElfyNLRaXr8yDT/SV56yvXZk4Z3mPs81yCZXga1+yAoOTZ8lKX7cLPqxzo4tZcI47k4pg4C5IWjRvXKP6uak2i7Av4RkFn27shqqebNdS+emYmTj8xQZ3j+cmy0sftKutICt/7RAwzpJr4Jh65H5VezpbPocnMnKFA8qE8QqoygOEUO3Xd2NvnKhGs9T7IB3gPgmyspQCshs+drwwh8vsAilukzdmM79s+kWhRhwKeG7u96pnNxbngTMsEVKdhdA+3tRUrXOkSkh3pgd9ytysUgqP9V3c3+/SB1RbPkTeJcEgKBWRnaBP//DCBs9mPbL0pJnc1PtmtAogU7UWag5xDKasB3Gcq6GItRyqSlkZQxP35bEsS81CWzmqfwuMoZRYJFaVLvD8xjYot9yDkUgYDcBwGPBHrDMYAMRGCPpiHeA6NGos1T4M8fSITwW8c5AHhJq1TLZeLYOERfw6HJgrO92oKJRk0uNhWwesAL/73/+FSujtH3y6twvbLj8DdrAuoJNwEccoxHGcCIUioggGC33o1OVEEwuZCoRTAcPv9aA0eCvBFUYE0Vtzhm7iSdzDYn4L6ZA0q9/j/cO/LacXkP3hJJlAyJHghdOhVAUk82QypJ6wuqH+i0NnNyywMSFhiawfmr2nK2kgM67xyaxcy/DeFuiLIKltQbEKYzuzskw3Rl+VxkCjOGBy5bfM/CJVrDCmKAjR7xK8O4hC9kYFSV8Jz+ct2U4NL55+ZPaxWWXCQELsDm+OTLyHgo7OtaonER619u+6vQ4DkJG4QzfnKsK44FZ1k5OqcAP5sZ7mj2cMZqQ9vCYYXyADG2qMHN8elN++h/d9HSUWmS+irFiVpJ7fBd/NNCEg7/wrh/lKKTdlWwQtRboqtN0T+aFbfNH+mTF4tYlV0+qgx/0umBa8BysfjaSv5DbBOP4/No/lOmRvTjnxyMva2MUVtOpxy/dMTV3+tekQfZmuMBVjm+WJBVsMj4cNKDHpPuMMdsscEXpv7sUrlbfiBFxv4twDcS2VAtz0Y7hSyZ48o0SUf3/rAsWNeNNSKhpIfwj4/DlWERd4WNCKCWZLwSiDMwrHNip1NxcOHrtzpwWfm0dYl0CLB2z/Z9nklxUOkv9JR067IMO4GZJsM60UbIk7JQG8piBd6hkh01aMQmc/qU2QMQuzvAuMi6+ofrC0OyJhjtIv8riO5x71fAG+NRe3M85fr747tsfkLtJyPpn0qdEaQ15ulR/kt7+Ttj8UhHCGkEwOehELxjLK42X3R2uOO4fuYSdR6cZ6nTvnVQwC6kKnMpYdObtRvLNU3oTDuGryx18IuiXVDnmaDQ3vTllijw1xhkXAiPORx/OkvPMV9IHj49K4lBw92N2jL5SpaYQskFzJWcq72uoQpLC9TnKnR7bu+KxPCC8/9AakPQCYagY3wOlSvPLiYR2MZMdZdmLhfzGpypHzEVJ8O7OoQfNKjfdzDiFQOuMmd/R3bdiZAa3BTpk2cwJme/+BkNrTWb7/Or8Fa+3WcsNp+BjSyAuZIzgV2DnU2q/w3GMcE86bGipLwe5m9hZ8rdByulNymVMKu2AYmH8BESyiMgiHL4GZgpYR1MneCGtYxHYsVpYuxHdI4WpCrZ8CFKqqi/SHRoPjpYdjaaAem6DonWJgZloMJK9StU5vLzIwV1E6JYcAhSevOVrSNHdBcshHIdszkVkh2pY8N1vU8GEqNwUiVwcaLL6xQvs279RvsAkUppbVj7dDOHwcG6oN38Dt7xy8w7W285I27173O2T0WAHmKdbkkf7Y6r18zhArmQeNDftO7dkrMMCuRe1Z4BDE5XdCJ0vhJnJflLHNwhcXeHQERppwC757//3f7SxQt9WW/LmgNw4elp1Vku+XXOBsWvlqpkYlmELutg3KePHv68XnxWFNtTzT4qO3ENfnaXpcbGYEGXPW3EzLwKWZJ0fSrHIaWJnmjAEX8IyKmWfDeNjkwhQb5S0Zz/hIqfShYiYZ4JfFRzcmr++I130iaEMKWuHmmuTdOfAYQjqxlPLpRTwzKRT+LnJqJ2VTHlRrkFTAbo7kt7ocGpCy4rEXJDGCdcSmCSMXh8QcSRxm+KnRXYrietRHMMQn6km6HSbAhYRcOA/mDLvYXu/t7SnpuadFHCU3O7m/B7PAL52ergQlz3wpp5w6F6QUPbaBHhOgFtNbgJT1h44cWbEPvN5WzA5Gb2JYC3Bx+Ex5hV/agofhkFK3+Zb5t7B0u8LRG0dmgiRLsxsO9uMyluE+fTNVx7pNxH+gityrr3NoWkWHVmHueiGzNwWbtrfQQklgsbT+IEEAYsqY5VQxV4xlBmFkPaMC1qrShIduC3tq2iUd+D2d+SOCnbB0158sdLqSsLFesRkWu/XsyySDTO18qX3WbFJZP6YP83ZjNWrWdp3zRXOn3EPqLMVOAnc06vbfgtLXIgdD7byPdMZppaCi0u9m5VlBwnpLmfjiyAuttNthb8NX6FbHm0Bzc4FZhZfZssX9YIMyH9IYnYQIYlO7MOUzyJqLhQkfOV30E0BtPcvNqsDXzxLWbXcZOstGggoZWYyELoDL039RQlASqPgXbylXoUeSS0RqMYXttr7P+FKBG59k2ua51696+rwiljXfQsynGHvS65A2s3JWQEpXrAxOqBPaE4dglDtThtCUODDgRv0xHwLLT+cPQucIc9wBidaXpwxk5ZnZoQOolJnGBoE+JiLBrRRcKShsmrHxk8w8gVQmfBzFjfo8kEOvW1ryh2y5a49hdf0335Enx29UZAWryYqOsz4hFOGBUvMzcv24wu3NvL2lIz9EKg8LOH3AicSWy7wmUgEUw+3KGM9XIM5TC24nq09gx9VrlCkCOVuirXc7WA3BqekD7fY1pDh8KR9HULIR3tLNqDcsC9iCoOJJ6Mv8ZaBm9dKyZqO6E2depBbJeOIjd+e01WJaMAShszovFuGACeXh7Ee6LIAI51xZ6IZjAFFxxwHG8Gc6Pb9McuCXgfeFeEVTupmczrbDGx9Kw3uuugFcf2WrAV2mgkhGjlNKmeb96dsPcuv4ynZ8+5rkhlGQXYPDbw08Ie4HOKGaFNKrU46K7nLZhV2WvCxbJPAIdq2W7n41iF6KcZmEd+mfAwVabwGj+jhWL8JeLbtKRhiu0Vh7AzO1WOVc2/98n7oOt9Amx2UEkwG2c+fTor+DPPbQBNRZnQXkSLz+Hs6TwFouD30AfEBzKlfFg24Q5xP0/yZ/5gcLTODOZbiGS0cJpShGN0/9XHgBHa2tZ5rZLgIFqFrHjoiLzyaAM/qCdNPAlo/ImCjmdn8KAtkj6qMKLPKxHh/YJmiwAQqFXdlEs3+a5u+3O1kkenlxASxQgmG2KAEi3HSAVJ+HFO8Jbvl3P3KETXLCeNv5T8zWMB7widv8WrfbDMp0whLzJw/6RYU6I/ka2AAm+YLFhOTrQxNwAoj0FMfabF41smIrQJpc3qcQlVjgl/ngSKfC5sbOiBJHHdVHDnMjtEDRM6c5jLZhR5m8Giny0nAdlTs7eECSu8XRjkuorPpLideVg4CHHDdqcoACjL357+aoj5AIGfq1YR69aPUykqQbgr+FLiNXjSJ9u0JHg4nU01XAvdIWF3QWHRXa3Lw3RAzoeNbqUB2v/SkEFKzIeX9lOkqkQzBjqzDoQQcLskDIWFYBifS7NYaKdeLvy6BQZUE+2xor9+5ObDrvzDNvr1GvT3wmz7zz/DgfD5nhud8QNrxY6y7nJkMfQmlB4Yw8uQrdIKU8RWshSwd5vcTpnS7XTuYiy/kaAURS60DQYpocEcMkTQrcMEdJoRTxPY1pFRgkPbwxpUiv03rJLiIRI8khzjU6UNxq2MCY5QyqqseqU++6BV2JW1NlXBzCsPe79XqCle7u6uvrnaxwt6ru7t3r0Io+8hB3B3khPhGwZ95AVHGTRb4rXYh6LvYVRqqEqnK62VyU2gHywKCouo/UKdtIbjof4y3IG8rz82On2fTpHOTed/7qjYH0IdJBffBjFTXv3n7AdgPencEkzcrDzfQwAPgiMPDZ1Zq1HlYIwM6ZPl+zPDjhdLE+ZzPnP91zswcTjf6Ti0UAAwwOrUSC75B7tfm2mkXpQAXQsJDjokfySZlrruVqVYA4fBZOGtNq7prKvDmOW72J0FuHSNPzC5KJDqRNw0EoMCL11khl0ezYEniAPWUfF2cUlAKhoYPTYTlJJpKV4QG6dRB+U8RewgRl6h/gEEFDrSpJYOPH2pPkAbWbrgCfbANGF44l72WzGFT8PUUNvqOLw0PRKT9P9RMdEI5JfXRKYfvz7T57mtFyytBHZTk5Gz54XHPjLSJUKRDJQR7hYLGwjJHVuU0bnFHvhQBjew3VWihnSMtoz2jC9jFxv/a8CMyrlnLVxk/jHwCo5fDaH1mFuAZk9/syhjfy8wQywlKjZ/+fDowGe134XN1UxWtrlWXNvqxpTG0O6usw2mZxzLLLu6IQsvEDJf9Y/osp+RiBW/Jdc7Z8n+ICbCr3pTlAx5/mgltjHIEdN+XKKHhed7jSLSPTSY27SsHE3E5OZI/SJvEFnIcWUvZlQ3+7Z4vDTHTcJj8Jv773/9CGSYXqcq+86pncwMffQK+CQ615GwJwtwRzaF1yu+fOwQYrRkhmEjqIC3byg2qJbRY98p9kX5EuZ/JLnDkdSVJtsHkzqp2ATWezCvXt5eD9JDii04NR2wJ8z5JQVo50lQg2X1hi2+GdXIg8h/gxTqer9psCrQ/26Xy5J9fDPzhzCXBq9sZd50ympzI9U470GbxHiP5Ai5NKrtIOLBfOyO088uahc4b4elnSWD0f9/MjakHmVBn2DMUhg5E+w+0BeGaFix/kQo0fU2myS1eK7j9/Gytk8cxozjj6FHQeERuOIJG0YzvpRKMH5sxexIljRk9YNihMlgvAJBpkMgXOxWLwjFGsJbHcmf5046nelKUU0D4vj6G3Op0ULjc8whv9ki/6m58sGAenmEQ2wu/oCNNYortajM78fhsoRsdxMkydXOxZBs9X+A4J71frt4WpVTo95NwOn0WRQb8THrxDiXUrqhDcO8Hz5uh9G1woyn6W8mbPgGTApQHKSEbiK4g6t4lcGXRr0dI7QiIP3J/b4rcdNI+UDZ/ICM9rffxqMuiakPZATmjq+2a1waBksDx0RADhU5jYGDM5gNAnMm0vIVPIbTnoKYYvR+lWqc1M9prygUPF5pocArF3Czz388s9Qzu2kY3bVBg5ohExhYNPncaTxzmlqLFY/LEgRM9bSIwl4D7/oT1bp6JvBYwXFvY4VVcGc3Y6KselTLP4CWX3OLNcSsxP9jPY/3qBrP7JY2gvOR5jkL+mxPWHkUnsxjuZrMA1nMTLVP5e7ZNm2RWS2QQz0TN+UkcUuTag0DbblPigsGlNRNcfIWYVGuvPBsDuLGSdE5+hiDPfDCZ5bXkF1lpBuCCR+8a+qSK0cwOdXmhTysmFcYa3bLH1VDA52jSYQYwHk9xarzmZmFufV/EokdbXCYB2Clc8aIr6E9gMnebyiLcAbDAqlu0a8I5o7X3OQTNRu8YJkztzzbcCl4/5jS8gaFWfCn9FekNdS7EGbtUOUVrH4ZsIeBGLOT2ZLj9mbxpBXc1DafTFHZWqXDmT6k6Bt6keEOADUDO6tIHvTvLW81AEaw6WPvD+IeZWQJC+iODunEQnZvuZZjsfCdJ4Mn4r6llbr7yFgXaIVZT22xtrBjS/kXm4pQ3jyoLPS3gg7SVa2TiO+mmjailLdltj1JxSsTJzaJ5KHrW6ZOuy4D3zyicWJmb4SkUZ8zc33BPxgip3qpxs4PJi2EnyNBZlBpUmckMJUFdwGIkkoJ3LC3ZAPSfyN+/By1R7Rrvc+76V4szswH3r0KrWiMvUHbT61E2hnPnfAZf70dqRp1i1Ia/lCSCF+jE4khPWQ26PzTA3SBffZAXx//7n/8vpWjQK8NVdy4AnSbMj0pHtq4gERYApFNh8ms6Z7O6RqdpkIBuagT6bKfifeT5Ab5GDul6ZfjekKzx07fS/5hFRkLtrfIdzKU8tEIU6Pw6BAk3gAk9Z59nHighz3Nle+cB1sPAcAW+KapNPzd6IIWP6mXTROHuTFyE6F/gDxgyVnpH4G99UByZfhUFmZu+4VKC2K338ae/YMvPfOThR9xdHNgATIk3NjxhAnFKuzznmbEY2BTDPAfYzQkqXox2j1zgSB2vpfDXgLMwCQjM3UTBMFyupicsXkSNDmh9HQt6RNMuhsYyAvF8DJMpickQir6cYySWuwexJqD2xzsZwsBaY0CY9lh7SRxTY+Z7Jqv+8kJS5BgGJ0WOW/gQ9OLXE3XMpITyB+GzgHIwJDJNyJf7DQ3nXW1F4zO6X3rANGHVwC8/0HAWfAYKKf76kfB7RZtXn6M34JVMFqVpnTif6js/0l+/k6PQJPcmXpB/CgRngtQESx1HbBdFfYRuBJOzATsi0oji5SKc9sD+OGsncxdtJbKSlRNvkMZLyHeKmZN0cmU1Z+7oW58QtAXNwP/E1W/GygjXpa6oh+m05LBjhYnSxPlBQP9LiooQFiYSYmjR8fdEBktZHUwDEEqTQHbkDPaTnZbWuyUCpFxzRD/aSMbYZJ2EQMbehxzqysXyNQjcRsyA1lIVTGXt03/dkkI6AcwDc+y968Z14nCTrV+Ovyaj/7JwxTms04ZrDOy3uNljttU4pq6wM1Jxr4HiLzVONw4L739K6Rgkv/mHwtnGogkBKeOGyFN9xBbP169HOFmZ/CYIwDkqzmGxCOGQxyUmQM4wFARFHOmLORPz92lfZXzi5/cJA1DkSVW3sSSe4d71UP4xB+JCM9Kl1AdJqOzFA54CutOWPjBVboQgeUyBXx9oWXJZmJwok0zSK+h818SOmVaO4q8yFRO9i4JGJMccixajdkw4UIyPNigyvXiidomNqHx4KOjQwNOPcOdpA+bBsr9owSzXD3z+ZmucOe13yBAxYoseM0x/lL6qn6zqFZC5spOSu+2xlwWSD6pZU5+vYbl/vladtzzArfwJ+lM2etD6xoUviKpXBICXpGl839cmaLfBJuHuB8FzkwIQ1G3OroCaJ3KtInBom90Mh2c8Bl6hiGyXOQEIGYdYCrXJ7rGgqL2aOcDX8yIp5WNVaPmlq5YMVfIAFxc648BlxOqEm7jqb8h0Kl70dTRx0zEfo1yBm9be3o3aM5l4y146LXgi1n1ZKaRAvo7fwK6mpm/vU6HaD8DeSbmyqJtohzzxykR/Ox+KTOz+vDhlsaR7X8PeFOkS/Pe//7dvQyVj8MvczHDi5exUPAhBY/bXBOnkdgQyAz+yrzwiwVr+OtIGDZp8jmjRk70IFKAJrMi7nH8WpDd1RWlpqC241np9CQeuft8Al3LTOdKJ3QU3jhGBOYRcGTOFvaE138VKry+c4KsKxWyyYQaJwKR2y1ADoAhlxUVwGnOAyhCnQHwhhPp5JjWCCJUhuHJPwdBIqlajJj5TMCNEqGGhPSq7HXAGyeEuCUbcpJ0oFyFoOScz4j7EkSjxRL3JjrBKL4bRj2HTGpx3saMknF8yYlmn+K35xTHw029DKHovpvSlEDjwOp4YiyStZ7KvEKsZwxVasur4mxAY8q4i30J57BVBLwb34a2tfciwBI38p1xOM+LEs1sDg57bVDPeUFfypG+gl6lCMSwQ03CUZE04O4MkyP4WX2ZTiYYn/m0c6i4Pg8H8bBeYzAk4NVuQa1G6AqzYcOZQnhEFvCW3CE3I0XiXdRJRrh0Qwkr5sVY1ppvoWfiffsLufi7D4vs/mOuPu8Jdd238HO6uuzirXdLtUtnxaD3kl6WV26YGPXkXFORaY0hir3LrD30b7LVUmYneawFSu6RN0G5jTqlBgnbIVBsyre2EEBPslAFoHBF3dOZN+72K2fHfqXjDyLhcW8+X02TmG34LT+fAbIYUl8xvZUAs4QImkAWxLQJBK3XfGJfDpCOsBV2+zxBSnocOEjzMmTG7XN93F63sezSCIaN32iBjbfGqDQ+prO9dSwLJsY9XVF9qXUtZffvuOxofNi/t5ZC0VlTqDcB6VNLj2MF4Ke7yX13um8v1RFq8G+pHY94K6T/7Xc8B8OHYjw/nnNyXOfZq09wW5E4SS2ZE0wQItBGO/AjHxDSrDTQTl13Dh6O7rXY5+4ZurUqGmciEg2SKcLJ6+KxQ0aBU3rzu09gZUQT0IuMDbvXEVnjC2yJDPmX/HO0eGLKxlQKVV/6KO1m8HarG3i5Cgns4C2VsCW39+d+rDz+9JLtoDSyzP6C3tk9ohSn7hFc3zImsEu5Dq4HQF50yjwfpa4crDgF3Qv8WF2EWw1G5FC0d4A3EhQ5SslJ22bl4mlv+AHplkFrylHOMjyf5ayWQmfLRA5pUxk+jUgqNXE2dX06MlZJx3RDceIK2fA6YtRGcUpBtR3URpBr21zRcV4SxCGK4F4eeU2aE6mrht4HHHicOUHRL53rGeN/JaCXWT+zaJN2pxM6QOR7URbMqkRkPWhXy/oHvVrrzqQhSYMTiU0VRDuIl29tiFG0CteqTSNzAexEODsLqZj2NP1Pq0Eks/aEAgdiYoDvsvkm611PsO8pNdoxt1ZkMshkmr7QhrsshMyLg6KMbWHA373JKK3s0QVgHQy1fB6jH2BchIkpm/kBY7dlI7ktkgXemL5LS3RMEeLS+HbTJENEb33Hg5kx32HF4AcnDPsJ4Jfe4WnY7fgOtg7CcjrTcCB8B+PtQGiwsFeeuMX3rrU0fJIVdippQGFavjzIv2Jkuh/0og/O0MvuakGmRoCxQSzBF20nmzvKnqy827kIQvHGkEYUzM+1SZx2xhfEAyan+OeTFIrYgPYlpnngkK2qaSBXGbybcim/czLy19XavyFj/uDaMJVFukViOzql6rPJZz4Looen+dHgCRXk09Ok0X9K6TtLKGPnuLj0uhq+wVqvmT0aabHi26TrdODE5TvvsFlt6NlOCN1k50oSaOmMGZGV1uGFlPp+ftFzmGaI5ncPDA8rxd6M4YTthzVnCYWycyUIuWz5rSmDZGbT1ThNAdhRDSkL/UNcWnmDy/Obe/BK/VQ6xGvFwEJMVO+zAjzVh8LG+7C2PHsrUSpgBpUmv9ycN2pM/olRzq9SBnjVMkNW0Buf22x4OxAOK/83PF4b8EGc4hzxz5ky7YMQBuB5MGh+lr4cF8Vok4Sdz/xnCzsHjBr3QMx00wN58EVFnQOiAmFleZW6HNquy9567yfuC8RkftyA435XVVhUvam1XAzYq0IMAj9lEJr2duY2zNoH4TTmz8KhPQmz+QP5G9fq7l1bpY+/uiovvXpo61cL/yLwbtYRmlg9O5hdCjE7DGvIMo+6MVej55U6cglKj9JCH1DX9OJKuVjgeJ9p1ybZR3uY17w637W0nGNs+QgWsKCe3e3UNCjdn1nMBoTfXz3hX5GH6Ik9+SBLfjqoACMr2gfdL8nM24nRZxZ3hZ/gPcA4Pz2d4AMxnzpA8/rP4RkXhQ7+gvX3XCQmh41jGCuGzV1qNXZCXZyXs9Xo8HWCiNPMpuBFVgIjqJN8d5cjbLDSYcMTw59mCvVns3oJ3p14FEbS0G3DcoPFJ1GbRUKvRMIdJuv4icU8Vd7URgWa8LolVKT+CSRWLXTdo0x7gTZ4gZZ9SlpkSy9nddVKWX+OrbiZ29liNMS/6Q05i4YzbLop2qPkbY1279Si4RaPLCL8vJI9mgIJntmDisgUUDL0kjDxvzVQD/LI/L6yJsbCyK3BMDIfSoByc8moc6ktoQ0iJsF6Ge/x7/P7vmpXWYDhjGcQaUrjNZRSEhPu56UoGtKbuci6PufGkJg7b8xMlAW6EzMGFbyMQrVA5lQZRpLXGYE4XU6kIWJgWFMLEnQlHssIemSpw8PjwFN3AsRfiBa5mLFU6aeOq+cBHXi0+V5Z/ODsbiVwt5T4+YkQtq3vRstLF0CSdvC7ivboBYuvqVIAVmm7a3tI5gfVMyAv5SUHTfrSEm7CdzT4S5G/stkHqPKdXL/dYs87/+fe/POFDusK1Ls/zs8wSU7VDlP9hYFStURBFO3/PWGV9onNJjzBdTDPUYc0hzCga3Dxe61mHvIqLDiUzzKlqXVwteFqeavdnoX0Qb+TJOAfmYO+S3rXkzXZ6JCdcZtpvXi2Q8uP88IVauxEre8ToPYOnfUqg/QHTuBH7uVkoECiF9kHy7368v1KL7zVFotS2E+o2PJADH2T16v7upCJLVXmjPmv/WyPK+WkczY4H2St4eNOqqPh9Uth7Vm5OlDdBcE2bZrmT45//qT/YF/ej4UT07Va52wSuM52a3RcE0jrWY3cQjiEKJlfjGSSAhOXXWaxf0jT/LuZkXm5IhORNyVpU5SBFZLYXJ4nKaGyHn9DOLPfIzdgnusOz0Dt1vwCGQarOcuBJtTRWyLveS/qz8vF/9TdLv6F2I0mo8vayUur8cfX6RX3zugNc8NmlIPSQkyxs9FEq3Y6uoOv/+/s8hjY+zRFnCJ3IyBdOG2CLMOj+HY/7a+xJCEk9cC3vCh2JQSrnylyPwQ7PbaBI5WTBqB1bhvi6WSDs2mnc9WSFrn5ubrEcj927FKVkOaNCPq/2POUkLsWbh2sG+S+v3LU3/kAn7LdfWjCiD7Mb82uJjxbzoYMnJC1PAFoQxMzzNdLrcwmYr3RyN8EIq4jYPqgXG6H+I7lRSxuWbGOudyOC9cMxtpC52mw1OUyU9Z+Djti5EpjFR1Od7jacntUFGsbSDWlg8knINm8RWWqJnBr+gmGaFk62pjk3IyvTuJd6Oe0RyzMb/2Ybhvd5sTMXs8jaB9llqbuNosY5TfLPL1MbsPN4RaclBZ1G8mE/PuSXfbqHDmHROdnYtthPBnmyHq0ND094TBlseum1VeomK53nCd2JrN6l3laIYVgA/GAgNMK1oMVh+v6s7X+Y1kHAR6SbcwldDIPDdhOGS8ApbxrNY3lGM9PaZcNfMGnNLCYEg9nrxx9VPOcdEYQOmYIxj3tgsH88niLgs6eQF1X7NJjJEBjhQfjb9Q8qvJs56Qh5vUrodSBhDa8FCw+WVuWTJlYhkrXA5em2f4vFArmDefxMVZdj7N79ksMLfdbldGyNzaHnqDg5GRE43hw3LnJxFIyn25fq3+1wXCeaoILgCCfpEMCvkAChmGfBnDGqQMXjtLdKjpgSxIWnMVTvEOacLHGEx3C7KpCngvJ5fhGuuU5gXY783ynqIOIUoRm56U/BL8734dUi8xwGJRNp+voC5Nhui44cOd8N878iZ68PNwv6eozMmEbsavmB795f/UnQVP6dULJNnmnK18TrKYCwzDYVWEMtQHvsvlFMARjOxdKzh9crHgOYUD7uEaD2sFmK//73v9pvyM83cBktDsttpsPujObu1NTq771MC319658c7R1LPwcl30AVunlTwoxuB0VYCUMWHoA3zbMG1rzuaJD9aNyoHfiZNfUUsRpxbKLL5JEm9e3e8hIBgRY+Qm5snpTFO0tYUjmdMO0VQ+FB5r8ueCA1aAXXGcllpjV33ngEWPHDlLibxAxLXH0TXP54us8lzZu0VwDUsG9gS7Ih1z1bvWPExyNLP36nXdAsb7GJLyOI7EXjFLiRT7DYA0wS2vT6RrsjVu9l+B/O5fSNPWtPMk12c38HGdNhJppkax7fuIwZ4MbixXKK1a+69X4B83qn2mmlXhpXO3ww1eSO18ulQJLKHoIzmJUOzSv6f8OSpY/E6/a+BB0gghwPiiqjYzmwIdh8XyPYcsUKgBzGWkn6Bc4koPgr+4NZZJ4uiVKOt3IWmXGhyv6L1Ww/fzMUSavU1f1IQw86voODXjj1+bFgNPj5XW4Bnrapam3Cxk097Ur35wkKOEJEC4FwLH5xNI8RXIzFlGEsz2GgFypsj3tgWluzfM2TON9BKXi4Xv5lS0+RwH95mT7KK32F566YiUUrIuxgx4Z8LnVeIfLMBaMOSagLaYGgrCFXHAYPEYxff4hSsgmQLzH0x/7x3CvB7S10msxIB97gV3iocwooa/1CVfKSPSNntbPgnPhZLKwGEvMAI+didIjv+W/g7jPfS/gim7N8P432Ur7NH5PiN1wWlqGypbBkBYQ5vI6wE10sqzJZKMRQpXMBOSuRZ6ETLZc7Tb8pz5ZdqbSQdBm4YxpgYS+LSVeHbiDB+fvNNrl95qFTnnQs2RBKhcIT0nkwEYGnAjXgzB9aadZ7z/1BV2G9ndKs/CEQvm+iCRMQxwQH2UFEHe7JEQWWWzAAJkE5msj3O32CI3x9tz3d4VBE8YqIVCl2lRZN7DvxaMN3qbjVAC+CqaBpeumvzuiCP9yjdUzSmXCYyOdvqDbypjTDKzMs1u0gwUbxXXWRTEXZNd5oVtMEz7fhtSZ8XTIx9TCMJ6GKskNmmBdAPFW3JaR/eWi1TMW2yPcOlKjEINjflLZ7e1WbZzlIip6YB0/SAh5Mkj0TMvk2zh0+5UPdbdQGyRuDK+sA+Vw93UOGfuVCCrS/+DuFG6em80UVMWzNLFLykP+WJ+Y3kyuJBNGi3qaNTMUmos2FDo5s96IoULhI2MxwtKOkKYJOuAUF7nZnzZWHJGHsMzOK0UyiqMk5oIq3ooQeY7g3LsB6rTHE8cBXB9JDE4Qee29vsvtw4oyIh1L3z3tK5GjhUgrZJPaLiymz6qBBkthrx3tTuw5aXZ6HGd11OWqsNsI1HeoPziG+pEcmLRpxpZEjupIO9TNHzdu2MFf+iwmCv5LC7Y2A7byYIJlyNEQ8JP2JDxKJx28OByH65ajo+oUrWNjwUEjgtt7chhseKnngbwHxTddGTGuHUaajtv2wC7uqAJB2qRXXSgtxLFaTbDS56+Fb98cNTtipLIfkektbfpN5Vgq8SVGeZEynJcfGJ8J9RF8LUprHSwfwKdQ4DRW2wXS0g+PQvpgb3iQcJd2jFXDHVtuWj3JspqLFQ1YzaTLIwt4l3GimDnUkZGWij8UiYmk3n3TB3ea7hJg/gA2LQcfZYoTiqUwM54SbJ0FSa3xGibv28Z29XoIzQgM6O98I6noQoKKmcIRm8P3Px3Z5rh6gKK2NQFI38nB4bOr3cIxBLlA9rnkSDU4rdR7NIXbH5JpTrewNliTilpDZzPF8Y9NZa9ERtIfw1JZxUahOCLhcL/dwgfTuxHQm0n0F40v4isQv+zrclfAQf4aJthF6XM5TUAPAPmMfKffjgX/HHvOcG5Elq/EaA0YqGHSR2O/b7fimHkfNU6V3rAo2YQut7nRzwLHoA5lgPcOZ+ZxzzvxDnHM+88lp8pj16OrSTfNoMu27/BmNc8l42G83+0BjQaDh4QaT+f1ZBD3mA1fLCu3jjOjIY1miyp47vCNbpMKaAJBtOHH1KDMzTkqMw/ftX5XQLYcBK1fApkg2Yk3LDxlmCRSJOU+8RSjSiotMOJKDoXixq/XfVbhGCMu4g17IZpMpcngCbHxhw7yBkC0PfRZS4m559F2mSgno94k163jcPrV9qLGLRvjQpLJrwpBILMlvgEGlLBexi6sQLpSulBAT+Z/1AyZmqAsudePsEFKy6B9vSbGwZHZOab3d4O5lbqMI4XNMj9gUNNfQW33QQMRdWERh9lTM3RDHv+rA/QTb+2rBG6Lf7z4FhspVuwQMP8KNXvexkEMMNeE/HCEROWLWi/mip9Xu00pdDiOhSQqmfFP59U5Ud+uAubyyhq3UNNX84+Tb0yTI45swU+7y+ODaWDLhdjPcfIaQFV80X1RjRM7ELev4468/bIiJJKY0tAwEMzQjDSOs8/pXN2XaaQg9ky5T86XEWnwqDKRzNCFxRhievtZ8O+/9jB+JkCwbxHG8Z9isHUHEF8voYD2nQfwWdm1Yw4B6p160Pb79Tz0n2eZtDZ0UUCYDTb9WK1+SEVyqbvRxgNoSZPqzyT4Kq6pWC06KYRYiPjN03vG20TwmnwxesZWK2wakzMLYDKC9XwfbKz/enAuXfW0rTokqkgsuD5Ce7CGlY6OjgVOgSmwJIsZ7TQQuUycD7vBHNxQmhwcTPbtrtkW2fjY1RvsjcHHplzLk3EC9HCoDuMgcdoQIx2Ki4vtcYkL5l+nGL7PxQbZl8iQihxh0I5SIpS4oHNDxB9hl1hz7vBxoyLv0TFV4CJoRcDoMWxA0pGRMhcM1QHdU6Nc623I/MAXerJSiV8Z1VpQwbRJwgJm4h+CwGrFOENlhIwuajIScEXIF7J7Rxx9Q+IoqA3K5f+L13NAMo9uVt7jwlQoMEKPfCPNGDBt3OFcmYv2NEsCfmMc/RMGL6duA8cYJ9nWW9tdkkIDRRh4WvVXCOGPB6wc+UdgOODibYtxlBsPKhCby7Zn1MrkQbQEPsLm9dePjYT6QnEnkhznTgfk1dHbLl86PpxIrAL5mB//dsduFS0eOBpbXGiWjlLMcDqP5EDiz6+EbWjJJYaF7Eamx/AJWVlEETEUHHC0DgmYzxjlLHS7DpDckTvbY7MnJYNloSUuPkBLYWX6Dc6zTWQv57Mqr2eE1fhVdWfhj+ESlzDe7Qa7H/zYEiU2WV9zb+TUMDnoOV2aJx+FqxG+IEicQwOEqUDkYJmgYZtle68iyQAfm9YWZvEHxvGR5zWpw753cH1aJEUuQyyu+JU7GUFBpnyjvQO0ITnIXq92bCQjtPvU4Ad28FD/DyPomNK+1qqQSjR+9bK2IiBvBbjOoAOCQHw7PP/M5Mzof8EMezT+eHQX0yamdCj/8HSQg64xTjdgpaNed9uViJmR4+ytpR/nxSoMjnBIhQOaKKe7vthSqZqqT4J0ncA9G6eKqpCqTxSpju7EDVoYc5mqWaTJqp7yNH9kKVCZgbMXvDipkHqvslHYNbx29i9X8NYLsTcry2MLRlMfG4sexA6aHjM4sK3aS0t4kMkxpLQdCpHvhN+i6RYCu765WtrZjhgYMXVt+SuAsSviuYWVIKjNPainFFJDmaKNVdes1IcCfbXfXrfFgkYP10JUyEjaKNNIMivkMzplDzkgznOONGesrDE9EpTi2A/tnCxPLXjg2tteIzVye1w5rXN6A1Gkdak5i6qfgMUG5L3GMUTWS9jqIBYH6oWgTTacjHKYQF7AXLkStUeTzo3/xV1k/f/caAHnAadzXxnHIX4EW+PtMqwUMwmowA68aiR+5FsqKxy2/GhziW+Vz64zVn2hEtJxdxQjBEf8dr+AQACYXbFHwfosnb36DQE0P/nfbqjw5HIEWBeOy6MMcQCjm7J+AkEXQqRvg01fujPkT+RImiVVGQjZSz7eXS27/2pukZtrWPDAX3jcr3Gwkrz2Hb0FyiPJ8Nju9G8T9q7ghFUfkJXVyRi169+93rOlz7FNwemvY8mMwEgvWtH7PWqGPU9HuM2ZYm78lfwXTgKgXjBk7H/5TyGySkdAlltdbMWmKl7gzJx+IEeEHRgFAV6u73vPzFY+fN7E1uNNiztj5D/mEaS9MgLJ9KuAGRung1U9FG6su5vroK1zuTavIg1nR6/79L8bmoUyQs7pNJnxxbyMnBYWoq33EqCW/2tsptoG0briZt538aeH6/yyZ2JflKL6pIZs18UBmHtOUz2LKQY0xRhTlY6RLmnwsQ8ShI60wEcf6kEjVO5PuT5Quc6Dy2m+2PaE2a/w4RuLleOONE0MijnutjK0kjocIbWzC1CSG8+l4LHnIGc+UJiczLcYJw3a3MNN6V7nXsIrcw4GZEjTL2Kik+aaM4AGkaeS0P31QbMpiZOB7lCp8c3pBHluIiqnVnNX0wqZTG8cTMuYJkLal0XIWS/uGOhD4ypqJSKrUOmak9CbkjwQBXJ0/JIGQJb0REmXri7EP8wfMYJCLy/XoJ8KGDY6/tsTBHnW9jNIsQpL2xgRRmR72CEny57ZWZcCVX8Ld7FkCfnJ/AuD17HYoFPpR+VtNjqx/LZfSB3P4Vs8WcoV5MbGU1zYpd1RmCiLODA9ePaXlaWFrjYtwLY4detoEGzOP1JoJG5dILAQck52Cr4tR908MrAVifHkgwLvwmOCe2BuBFJw1Iw2SewkDxhbdqfIufhWtEQSIJTNrqfep/HLnEh7pzVjMS3Wv4xBRYtbOuCl36AJHAtZ6NbsrTN8Hjn1KFxL2H/CfwZw5Z/7h5zPnQx7ic7omMPZtywjN3HZPqyvUsDxCfJoUhyvVG9PZYvq+cvdbTpgOR6VZSMfBdsESPlYL+AAvF+f6nAIudAOIrr0OHCwG0lWh3goTlCjpBhtSmkXeEQJPCBxhcHDm+RGEx3Kb8fX9oFFa08EuSTLaGyX7DC72chqhkUnpzdmndOVDDA443tjAXN9Q9C5r4PursJpiiP8QzT9YYRdehh44iMZIwMC2Dy5Og9zWyBOGwJ+8A3dxfHZD2WGz0qD3LuW7+wrXT2nvo578fF/mTRr+nHPmmJn5DDkzxwWnQ/dN36kztmXyT5gqEjedTFG4dzVUBtGdrbIQye4W2IsN50yAut5v5qRoopTbjGHFQJrbKCEUlIYXr5zNOSEVeAyAAH0zig8ZJxt3AZah4/lfmGW7koTFV0EjxNlD5N4BMbuEMqEPoZMm0ZT7d4iEphW/xsPm6QaefF8f8+PalCQslDdqaEJH1pdNwtXUeaydtFmrVQbNDJNWhEsmMBW80e3JXf328ucm5Dv6RQKfEoNMOLDUlnAH1ZnZYw47kSCUXIkvrqSZzQd2C1cxp1hXG55xp3j8gCDclKXIxcsYqN+xoQ797PlJkRMfG+Rwcy5NCi+q8J6UhhgUXDvJOzQ5EkZCcMj0PU27OsUkyKUYW6Zu2pnSo8LAb10eP4ky6aSbBiL9Be9Z8YFnQoqT/HlZ2I+/Om2P14DCdgFJ/hZiGWdjFUF7q74ZzWYjiE0TTKhfTNVjA23JzEmR99JqPNJdy0D105Tu5cb19KBw3lZ1g8VmRDv4yjVx+zByr4QCdHUdWqwRW6JjaGZxoiekdBwGvqDsheWM5UEam4G6avBnT9pRYgDMO6Wk5evjOXXQAu1ISEynuKyRfmE7ydCa/gmKmePGj4O3L5pyVjtv0v1QFMiZA7XH5NKVkTkd4INVhjW+KU48wAIKEwS8AIsd5DO7vtu4THyGbkaGVrudTg3wGek3UpGWIw3w6AZgSg9NODZG015UqQF2IfuoBwcim4PcDENBRMgaP0gf6xe4rd941EaQHhtZI2lFpFp9pS9e6QACvC2Ub3/i4MBpFQKPKOFgXqpkeCjMs5owiagWpIB5h5OEPO6vkJqrRxLkuClVXi/OwH7y2EhtlgbRueuZnCU9YuYUS8ENS9lKwQrJABSjB0n/neHxg7UawepyNyJgXh7yKWNng1xbGPyj93HpOO5fky807pNhDrA3ilmRZ02mwIo143bj7XxPNW97cvXghQzfY821cKFIpPSm8Ve0aqYvePOm1/7pt1DGnTLSL+gYcrU63+Ri87IO53FvN2px+a/U+fBf9HPrUJ0zhv7OZ6ZlNy8ma3fTc9661OEVrCHIHOaQX5oA7CLi6uJaBbwbxnpjyOVqByREfng+/PDDz/mne1Y5/4DWaS+zXRkAdOw3QGsnOjUweoxggt7YjGgwOMd3wf6fFuD7ncLwUyWx8PAOIGkciKbMFr1XVxnDi0B1w4M77ebkGYNbyELzuiG/lgr9f8gOrUdmm8VY16t+ESDor5tDgzkpt9/LcnnmeaKsvjUmg1Wjc4ZD4UQ/cOyiZfwOCRNA7fH3FF6UVxCB2AuOz4DpLaYxrtU19zuKQmNSVY33gNqUZhdBi5638gEhoKPs91zto0oNTvySENLlGvG5HtvHMdFUrakVuvmQrvsCXcsAkDxzjt/58ZWw2nFt8KwNIeEtyELUiztcuxwItXjJzIClGbtYZGf2XfhmXcG9SFgetQvpqootyBgh+1Cdgvb6Wt6999Y31cm2yuycUAcUpDjRppmfTJ1L2ikJk7NR60ESZrk0Y3l06bkSCfg+KiBwXU7A5yf+mVP1KTkTZsnow0Wjfq7V/pIr1zwljlcW1qFNd9+Jss9zeGXtykL3/tkAd/vBFlzNjI2ztOAtOwEHQjgeTJT9zJSZaSzuK4nXN89r9NxJ0GDtmUaAPFlnQUWh5dIoHci+y8KVum6pBmPp1buajEWRuuvvQRAAAA0hSURBVOCNA2V1sezKTY/URNQA6+rbWmJnsQHOYty3OZmQyznyXItM9Qh78pNWWm85cx7DGd3gGkbHbnYgoEROaRtDU4Pi3iaX27K+2JIrn9hMxQ4wkRs5KFq3s74gqX98R/greDMR6nJlSEzGvwNEN9HKZZsl+qnEuBmic72rUJhIb9N5hKN5HlXmlmXivGWXzHi5G98mnr0phAsLGg35AB3OcZyuzMphzQXyamZYJtGknMvkzTil0sjYtqcKhUKfCHMUQiKXN5uAD+f7elKFmP4OETSo3SLDKptnlIpxudLOS5pWHdsDR9BJQvV8oEhdzmSok9tBa+9KcLGY8jQxJ2AWbqpCWHT+GSETLCm/6ZjmlGbOjolv1HpI1F9x7x2cIMEwYp3ZaTGi3Byu1wUVU2Nmry2U0IXWPO9F+5OlBOmh7uecMG3+26gDOkhd4Bk/mNfx60XoCRMF7rfLdOUYZG6XDaY/owy+hEbywt/3uFBRs9FgSAK47MigEYQOutHd4pQC9NogX9Sq8f58UIU9AGMmIRM8zqPxox7yC3fZQceZTV2PUObCVOkvabXZ2OVdBTlwuquP3WmOLNjY+wpQ5K4xod7eMNU5aWBDrtRIq8NJdjPw1zO5yNG39Gg3ioZFmmgbMR92Fotq2dIeaANs2TiGymoszu24d+SISqcmYJ1t/SmCrbVHnS33B7ym6HrxTZ15SBALnMyGI58RiM7WTMjKi4Owjnz5ZxEBXo+SumE1h9J6GP0C+N2vl+t9QmblifVAUQZOmJqalMauSyo66rkF6jYj0GI3V0auirjHU9qAjghXN9hhxN8QxJt18tK9371c3DWPBq8BX+7J1nBeaxjWc994NweCzpDiF5gMeT2XEX9dX5GFZ9ew4pQN7EjwVP3u0faSV60R/SL8BCb7gRFQuVW9EM5MOEl2BNBJbzf/fBsbFl9UKbhj20G+YIZgoGd2HEDmIv0Y662dhI3S2edSbwu0t0UXyr8cUX7o2tkOu5qZofRFbPjJFATZ9I12oSCIM8vxiPUBp6M2ALjaXN8NLlerLDcC5dnsOsQX2OqkPP3Zpaqgq1fS9ULY2bHTjuu/zNaHVT1nZuYzbSrHzN/CggEGV7bkN0o94Hqs50xvocsmiZbl5gWrAZTY0bkRjkN2ipxXi0+IrEftQwRup1UJ8zDRk/sbJmWG5fyDWl7i//32nEkmbQ4Yr0CVqVu5oMNullYoXDeEFdbtzs1nNJmfdldJB2GhT5adOsFdkfHAEaOVj16jMcTHJV/VEVN9Hgt8yNUuJwbnCOlgih3W5UDkga6nj9LefdzFe0cSoIGXaGB9eeMcIL8vh7YyEOjPerxSiglW0ery2zDKAs71q4hfXjYG+JpJiw/2myGt9cBngavsfNlqLVbx9KRYDlRZdkA7PLE52FhnGsmo83MiMF6q4efAOsg5it0LHtnVVPmmyHsgrFFEnmXqMRuc23NC/cOJ95us0dgCSfbK8pn/xUvFtfH6n+f2hBC0Is0CI3+U1VK7Zz5illz20NlCIM2tkM/AXR7feVxcxZ1NPskRaVb4giiur868EWinQFOY1U5jNNxvO1vo5oBC4jAnGRcZvxpxh3T3MW2mIe1iBDFevydkqUunzNDN4hvfwffGz+zNt/7DbPoPzXiW/aai0nhgJekBF6KuKWKw+yOMZ8IIRCvky4IBcCsuJ4Vuo90AhJU9OcDBbmp8ZSjLNJLr9oyh8M+lF5SxCn+NKvJMcNJI4doUT976itiu+apmxnrLKqxig1OcKEZG1oxQAMxMOBERDwhWO0uR8gvCieLGjXf/Uzo860p6yk/mCN9s9HHXzH94OObgjv+ogy7MxxVcC8Ab7qaw2K9A6xTS+c2Ao+dlNVKFStGIuQ4kPWCQ9AB9IXCs5lgXeKcVDw3jDSYcofzu82ONV9MUUm5/9CsLTUQiF/JOokhhDib3gOavsUTT6PAyvzNUhqUkKy2Hi93DDNfqLmCGCH5B4niiLrGIZv02XUQlraKTJ05wf77j0Oo45UGaN1SXwTgxcd/QlZTl9pA840k0WKemdLsws9J6MCW+sqq1HyTspLtBjKH+XFj3JEHXzz1DTHNNf7l3wmsolLozEg+Xzkx5xPREfO99BPxBv5mVJr2AhAIzw3AJjQUYJ+5BJm7xJzZ7m+mxYudpL/jOi/a2ykk6DERFq9BcbrPARAiEJRT1SBD/OqDSVhE8bsrEYt4rOfj5/PM5/HzOP/P553MODUZPZ4yC4qE9oMbjaZHkeRfBJY7TPEq3OPKJpvdW/GKTuy0nSJhKPjLXsViHHE8bjxpNkqUz+wRTFStvGugDIKQhLnSdKQrkSjl45sK7SnLeGd3JPvUhgmPwCvasiDqUndIgAZ9zzjnWmY+LtKpBXJptw1vmbzzfBz1W8rrEg+TRG0jCB2DkdqmREaFf6v/DTAev6I3nZy/SX5ekmF2ZF8tFLUkUnbor4CRwA9LD0VIaXX+TlKtppP9i9QyG2KF3PRM4LlA/5Bny8PP5zAenzuKe9VRK38+xHslKKO9KINNvdwkH7I45/ODaG+p2L0Py21YhGwIAZT/6BW/GqBUbLR5cQFzNf0VZQLjai3sF6nPQ+tkD5cd30Rj7VUB04ygDW2U8jOJoab1BffgcSWy/+fikdWQW0nAG5Jhr2/GN9Jk1pgqFH4v2lZ7fgf+8y4/H8HkQ1PfIVMDokAwAdgNXBGnj9ggdBtQB4kDDNihnwg99AQeyowp/mFwRGoXAZGUVzCRr4AuozPi4RDRU89VwnPuvlNUrAPZ6P6GXz2lM+QjxZUelM9LquGu8C6fqL0TdlVuUJVrc+ZwS9jbUo5RFwS1rmX77G07bMFsuJYXWD/Qk9a9g1MbQEm6dxUIL5Q5ABhVq49HjRoXDGIcWtMnLNKpkcndT7feCSqNDUFSxSnfMm9sg7H8dZ1dKhlHqsCG38EBm6JFNmxhobJrhdmnSujDrsS6QbSWd2eX6DswcupbsQFqeuvzBDDasXksQroDwoPNVjgq6Uuabf7xmVke6yHafEBKuR2o8lmxmJoor4wpi11bXEDdbDlQKqnnPsNHRecAOFicAuwgLX6Tlv//9v1VeRdOU4Jyy2MPjuiqf1GSVFcFbjwG4RtmHdlMM2XgKEscc3uZ5qWnP7sI5zna3ZMwMnEZp+g8lKQgLeNMn8G0LifSSWnoyCj6GDLLO2ERAYz7hJijmSCWFjL0iotFwan2zLn2t+AFh/3jHZzQJzRxLSl0ucat8Z4acFiojalBNc7ubhW/GO6RJBEFZAuA//vhFRU0mjH2QAaWiZDkWy+mGkzaUHeb8ZdzC8StPO2EylTcktTdLhgzySU9ZTQR6JTowm4aJX6RrtBwC9FaH5BMyCJV47fLSi5tdwTOUJ9W97nX+ewkh7SClaG6PMixoyhODaCW8oo3V6qGS3R73bKCGNKiPl/K5cda30Ya2mQBlpa5b90qN7Pr+NyThIHd6NXJHtC74KdaJ6Cc4NRHjqsvrbHU08RTyVH8xo8OKTVTCK3lqwPEq39QaB0+yvnFX+COEyYrVt3qN8jrDvykNrDRww0+YgUtA8VGtYVfPKhHLuxoVhhzPWTQ8Nng8eVcxEvFH6PNIkWSF3OQ67eXg7KR4HJC67TETA16rmTz777oJHuy7uLrfzAlGGD5g1iKYeaEYiT9FcMUzuj4zNuUP4+gXC7mxzFQtJjfcn0s6MCmSr5Ek1vNXHOt/YF9YiJf8IJQgjajzvhHuwCXGlMb4080xHhlQqiddG4XMPfKLtmv7Ljjw5ClnDNOd/ZY/RtIpKmlRyQ2++YTlRHdBjnZDsQkMh5pP6+/oyxTicfzE5ZWp7mpmWtRtqlMRi1Uc6+mMi7CDhlk58657Zkcjrzurk+7rRJXegZNrpjNpN/gNt3a5NtGp8SbOZyC3JHb04QfmNo4AjG8PbWxnBng+VizY2ST6BzuwRv+aNG7ljfYou3FlAGFJzfzPpgzyXNwNeKjOBd8KPCCw2SpRu0Xx5oA766R7Twh2b2dVFwj4QBz5DYeCn3OUV/hkAoaY5SUC0hP5gbQ8Xz6GpeHhzkzPxTAZ1VAlzo9p9xTbIxlzzEyiboL8BT+phsptgp0dHQ+KO5wCmiU5MmOzrLogEFqs0zBTfYzvihveyNof70v2O8k+AINb/R6P5kx6Z+nubT0BbQSK+luXFxIQAgYeAeKj1ellhGUUAF7ibJLTIb4XM8196NVGGEpTgFzSrHP48yQCyZ7VjhWpnASSizs8nsYHsrT2ReWVQbdeHEHwiWycCbO0JqUmsGDCTCPfXD7nn3iouKPhpmhLe3+WX5Vk4jEjzK5ed5bf0dnZwaQP4eJE6Pf1TZd4fvtR7IvCfKYk6KR5bBhZ9S1lDmuJo1V63ynH/FtFntiRxlnPZkvu3Ff7wWAwl2T+7d4HMqQlIuvlCLuRaekGU9GdKKbIe0cCbpubE9mBbHtNkN4dHAbY324jwPr/AbcQag0BW5xrAAAAAElFTkSuQmCC"""
+
+#b64 = blob["b64_json"]                       # value returned by the OpenAI Images API
+data = base64.b64decode(b64)                 # → raw PNG bytes
+
+pathlib.Path("output2.png").write_bytes(data) # write to disk
\ No newline at end of file

From 4a2dc4314da9fa7d6d21691e37c7113606eb55ec Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Sun, 14 Sep 2025 18:37:10 -0700
Subject: [PATCH 12/78] various

---
 BFLApi/BFL11Details.cs                        | 148 +++++------
 BFLApi/BFL11UltraDetails.cs                   | 144 +++++-----
 BFLApi/FluxPro11UltraRequest.cs               |  66 ++---
 .../PromptToImageWithStepsWorkflow.cs         | 194 +++++++-------
 .../SamePromptMultipleTargetsWorkflow.cs      |  98 +++----
 .../Services/GptImageOneService.cs            | 250 +++++++++---------
 .../imageGenerators/GptImageOneDetails.cs     |  60 ++---
 .../imageGenerators/GptImageOneDetails1.cs    |   6 +-
 .../imageGenerators/GptImageOneGenerator.cs   |  54 ++--
 save_b64.py                                   |  22 +-
 10 files changed, 521 insertions(+), 521 deletions(-)

diff --git a/BFLApi/BFL11Details.cs b/BFLApi/BFL11Details.cs
index c14d2a1..abea11a 100644
--- a/BFLApi/BFL11Details.cs
+++ b/BFLApi/BFL11Details.cs
@@ -1,74 +1,74 @@
-using MultiImageClient;
-
-namespace IdeogramAPIClient
-{
-    public class BFL11Details : IDetails
-    {
-        private int _width = 1024;
-        private int _height = 1024;
-
-        public int Width
-        {
-            get => _width;
-            set
-            {
-                SetWidth(value);
-            }
-        }
-
-        public int Height
-        {
-            get => _height;
-            set
-            {
-                SetHeight(value);
-            } 
-        }
-
-        public bool PromptUpsampling { get; set; } = true;
-        public int SafetyTolerance { get; set; } = 6;
-        public int? Seed { get; set; }
-
-        public BFL11Details() { }
-
-        public BFL11Details(BFL11Details other)
-        {
-            SetWidth(other.Width);
-            SetHeight(other.Height);
-            PromptUpsampling = other.PromptUpsampling;
-            SafetyTolerance = other.SafetyTolerance;
-            Seed = other.Seed;
-        }
-
-        private void SetWidth(int value)
-        {
-            if (value % 32 != 0)
-            {
-                throw new System.ArgumentException("Image width must be a multiple of 32");
-            }
-            if (value > 1440)
-            {
-                throw new System.ArgumentException("Image width must be less than or equal to 1440");
-            }
-            _width = value;
-        }
-
-        private void SetHeight(int value)
-        {
-            if (value % 32 != 0)
-            {
-                throw new System.ArgumentException("Image height must be a multiple of 32");
-            }
-            if (value > 1440)
-            {
-                throw new System.ArgumentException("Image height must be less than or equal to 1440");
-            }
-            _height = value;
-        }
-
-        public string GetDescription()
-        {
-            return $"{Width}x{Height}, {Seed}";
-        }
-    }
-}
+using MultiImageClient;
+
+namespace IdeogramAPIClient
+{
+    public class BFL11Details : IDetails
+    {
+        private int _width = 1024;
+        private int _height = 1024;
+
+        public int Width
+        {
+            get => _width;
+            set
+            {
+                SetWidth(value);
+            }
+        }
+
+        public int Height
+        {
+            get => _height;
+            set
+            {
+                SetHeight(value);
+            } 
+        }
+
+        public bool PromptUpsampling { get; set; } = true;
+        public int SafetyTolerance { get; set; } = 6;
+        public int? Seed { get; set; }
+
+        public BFL11Details() { }
+
+        public BFL11Details(BFL11Details other)
+        {
+            SetWidth(other.Width);
+            SetHeight(other.Height);
+            PromptUpsampling = other.PromptUpsampling;
+            SafetyTolerance = other.SafetyTolerance;
+            Seed = other.Seed;
+        }
+
+        private void SetWidth(int value)
+        {
+            if (value % 32 != 0)
+            {
+                throw new System.ArgumentException("Image width must be a multiple of 32");
+            }
+            if (value > 1440)
+            {
+                throw new System.ArgumentException("Image width must be less than or equal to 1440");
+            }
+            _width = value;
+        }
+
+        private void SetHeight(int value)
+        {
+            if (value % 32 != 0)
+            {
+                throw new System.ArgumentException("Image height must be a multiple of 32");
+            }
+            if (value > 1440)
+            {
+                throw new System.ArgumentException("Image height must be less than or equal to 1440");
+            }
+            _height = value;
+        }
+
+        public string GetDescription()
+        {
+            return $"{Width}x{Height}, {Seed}";
+        }
+    }
+}
diff --git a/BFLApi/BFL11UltraDetails.cs b/BFLApi/BFL11UltraDetails.cs
index 3478b82..9167444 100644
--- a/BFLApi/BFL11UltraDetails.cs
+++ b/BFLApi/BFL11UltraDetails.cs
@@ -1,72 +1,72 @@
-using MultiImageClient;
-
-namespace IdeogramAPIClient
-{
-    public class BFL11UltraDetails : IDetails
-    {
-        //private int _width = 1024;
-        //private int _height = 1024;
-        private string _aspectRatio = "1:1";
-        
-        public string AspectRatio
-        {
-            get => _aspectRatio;
-            set
-            {
-                SetAspectRatio(value);
-            }
-        }
-
-        public bool PromptUpsampling { get; set; } = true;
-        public int SafetyTolerance { get; set; } = 6;
-        public int? Seed { get; set; }
-
-        public BFL11UltraDetails() { }
-
-        public BFL11UltraDetails(BFL11UltraDetails other)
-        {
-            //SetWidth(other.Width);
-            //SetHeight(other.Height);
-            PromptUpsampling = other.PromptUpsampling;
-            SafetyTolerance = other.SafetyTolerance;
-            Seed = other.Seed;
-        }
-
-        //private void SetWidth(int value)
-        //{
-        //    if (value % 32 != 0)
-        //    {
-        //        throw new System.ArgumentException("Image width must be a multiple of 32");
-        //    }
-        //    if (value > 3900)
-        //    {
-        //        throw new System.ArgumentException("Image width must be less than or equal to 3900");
-        //    }
-        //    _width = value;
-        //}
-
-        //private void SetHeight(int value)
-        //{
-        //    if (value % 32 != 0)
-        //    {
-        //        throw new System.ArgumentException("Image height must be a multiple of 32");
-        //    }
-        //    if (value > 3900)
-        //    {
-        //        throw new System.ArgumentException("Image height must be less than or equal to 3900");
-        //    }
-        //    _height = value;
-        //}
-
-        private void SetAspectRatio(string aspectRatio)
-        {
-
-            _aspectRatio = aspectRatio;
-        }
-
-        public string GetDescription()
-        {
-            return $"{_aspectRatio}";
-        }
-    }
-}
+using MultiImageClient;
+
+namespace IdeogramAPIClient
+{
+    public class BFL11UltraDetails : IDetails
+    {
+        //private int _width = 1024;
+        //private int _height = 1024;
+        private string _aspectRatio = "1:1";
+        
+        public string AspectRatio
+        {
+            get => _aspectRatio;
+            set
+            {
+                SetAspectRatio(value);
+            }
+        }
+
+        public bool PromptUpsampling { get; set; } = true;
+        public int SafetyTolerance { get; set; } = 6;
+        public int? Seed { get; set; }
+
+        public BFL11UltraDetails() { }
+
+        public BFL11UltraDetails(BFL11UltraDetails other)
+        {
+            //SetWidth(other.Width);
+            //SetHeight(other.Height);
+            PromptUpsampling = other.PromptUpsampling;
+            SafetyTolerance = other.SafetyTolerance;
+            Seed = other.Seed;
+        }
+
+        //private void SetWidth(int value)
+        //{
+        //    if (value % 32 != 0)
+        //    {
+        //        throw new System.ArgumentException("Image width must be a multiple of 32");
+        //    }
+        //    if (value > 3900)
+        //    {
+        //        throw new System.ArgumentException("Image width must be less than or equal to 3900");
+        //    }
+        //    _width = value;
+        //}
+
+        //private void SetHeight(int value)
+        //{
+        //    if (value % 32 != 0)
+        //    {
+        //        throw new System.ArgumentException("Image height must be a multiple of 32");
+        //    }
+        //    if (value > 3900)
+        //    {
+        //        throw new System.ArgumentException("Image height must be less than or equal to 3900");
+        //    }
+        //    _height = value;
+        //}
+
+        private void SetAspectRatio(string aspectRatio)
+        {
+
+            _aspectRatio = aspectRatio;
+        }
+
+        public string GetDescription()
+        {
+            return $"{_aspectRatio}";
+        }
+    }
+}
diff --git a/BFLApi/FluxPro11UltraRequest.cs b/BFLApi/FluxPro11UltraRequest.cs
index 8a646a4..22b7970 100644
--- a/BFLApi/FluxPro11UltraRequest.cs
+++ b/BFLApi/FluxPro11UltraRequest.cs
@@ -1,33 +1,33 @@
-using Newtonsoft.Json;
-
-using System.Text.Json;
-
-namespace BFLAPIClient
-{
-    public class FluxPro11UltraRequest
-    {
-        [JsonProperty("prompt")]
-        public string Prompt { get; set; }
-
-        [JsonProperty("aspect_ratio")]
-        public string AspectRatio { get; set; }
-        
-        [JsonProperty("width")]
-        public int Width { get; set; }
-
-        [JsonProperty("height")]
-        public int Height { get; set; }
-
-        [JsonProperty("prompt_upsampling")]
-        public bool PromptUpsampling { get; set; }
-
-        [JsonProperty("safety_tolerance")]
-        public int SafetyTolerance { get; set; } = 6;
-
-        [JsonProperty("output_format")]
-        public string OutputFormat { get; set; } = "png";
-
-        [JsonProperty("seed")]
-        public int? Seed { get; set; }
-    }
-}
+using Newtonsoft.Json;
+
+using System.Text.Json;
+
+namespace BFLAPIClient
+{
+    public class FluxPro11UltraRequest
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; }
+
+        [JsonProperty("aspect_ratio")]
+        public string AspectRatio { get; set; }
+        
+        [JsonProperty("width")]
+        public int Width { get; set; }
+
+        [JsonProperty("height")]
+        public int Height { get; set; }
+
+        [JsonProperty("prompt_upsampling")]
+        public bool PromptUpsampling { get; set; }
+
+        [JsonProperty("safety_tolerance")]
+        public int SafetyTolerance { get; set; } = 6;
+
+        [JsonProperty("output_format")]
+        public string OutputFormat { get; set; } = "png";
+
+        [JsonProperty("seed")]
+        public int? Seed { get; set; }
+    }
+}
diff --git a/MultiImageClient/PromptToImageWithStepsWorkflow.cs b/MultiImageClient/PromptToImageWithStepsWorkflow.cs
index 545979a..d2fcbfa 100644
--- a/MultiImageClient/PromptToImageWithStepsWorkflow.cs
+++ b/MultiImageClient/PromptToImageWithStepsWorkflow.cs
@@ -1,98 +1,98 @@
-using MultiImageClient.promptGenerators;
-
-using System;
-using System.Collections.Generic;
-using System.Diagnostics;
-using System.Linq;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class PromptToImageWithStepsWorkflow : IWorkflow
-    {
-        private readonly WorkflowContext _workflowContext;
-        private readonly IEnumerable<IImageGenerator> _generators;
-        private readonly AbstractPromptGenerator _abstractPromptGenerator;
-        private readonly Settings _settings;
-
-        public PromptToImageWithStepsWorkflow(
-            WorkflowContext workflowContext,
-            IEnumerable<IImageGenerator> generators,
-            AbstractPromptGenerator abstractPromptGenerator,
-            Settings settings)
-        {
-            _workflowContext = workflowContext;
-            _generators = generators;
-            _abstractPromptGenerator = abstractPromptGenerator;
-            _settings = settings;
-        }
-        public async Task RunAsync()
-        {
-            var basePromptGenerator = new LoadFromFile(_workflowContext.Settings, "");
-            var steps = new List<ITransformationStep>();
-            var stats = new MultiClientRunStats();
-
-            var allTasks = new List<Task>();
-
-            foreach (var promptDetails in basePromptGenerator.Run())
-            {
-                Logger.Log($"\n--- Processing prompt: {promptDetails.Index}");
-
-                foreach (var step in steps)
-                {
-                    var res = await step.DoTransformation(promptDetails, stats);
-                    if (!res)
-                    {
-                        Logger.Log($"\tStep {step.Name} failed: {promptDetails.Show()}");
-                        continue;
-                    }
-                    Logger.Log($"\tStep:{step.Name} => {promptDetails.Show()}");
-                }
-
-
-                var tasks = _generators.Select(async generator =>
-                {
-                    var theCopy = promptDetails.Clone();
-                    TaskProcessResult result = await generator.ProcessPromptAsync(theCopy, stats);
-                    await _workflowContext.ImageManager.ProcessAndSaveAsync(result, basePromptGenerator, stats);
-                    return result;
-                }).ToList();
-
-                foreach (var t in tasks)
-                {
-                    await t.ContinueWith(OnFinished, TaskScheduler.Default);
-                }
-
-                allTasks.AddRange(tasks);
-                stats.PrintStats();
-                Console.WriteLine($"kicked off task.");
-            }
-
-            while (allTasks.Any(t => !t.IsCompleted))
-            {
-                var completed = allTasks.Count(t => t.IsCompleted);
-                var remaining = allTasks.Count - completed;
-                Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining …");
-                await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
-            }
-        }
-        private void OnFinished(Task<TaskProcessResult> task)
-        {
-
-            if (task.IsFaulted)
-            {
-                Logger.Log($"Task faulted: {task.Exception?.Flatten().InnerException}");
-                return;
-            }
-            if (task.IsCanceled)
-            {
-                Logger.Log("Task was canceled.");
-                return;
-            }
-
-            var res = task.Result;   
-            Logger.Log($"Finished in {res.CreateTotalMs + res.DownloadTotalMs} ms, {res.PromptDetails.Show()}");
-        }
-    }
+using MultiImageClient.promptGenerators;
+
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.Linq;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class PromptToImageWithStepsWorkflow : IWorkflow
+    {
+        private readonly WorkflowContext _workflowContext;
+        private readonly IEnumerable<IImageGenerator> _generators;
+        private readonly AbstractPromptGenerator _abstractPromptGenerator;
+        private readonly Settings _settings;
+
+        public PromptToImageWithStepsWorkflow(
+            WorkflowContext workflowContext,
+            IEnumerable<IImageGenerator> generators,
+            AbstractPromptGenerator abstractPromptGenerator,
+            Settings settings)
+        {
+            _workflowContext = workflowContext;
+            _generators = generators;
+            _abstractPromptGenerator = abstractPromptGenerator;
+            _settings = settings;
+        }
+        public async Task RunAsync()
+        {
+            var basePromptGenerator = new LoadFromFile(_workflowContext.Settings, "");
+            var steps = new List<ITransformationStep>();
+            var stats = new MultiClientRunStats();
+
+            var allTasks = new List<Task>();
+
+            foreach (var promptDetails in basePromptGenerator.Run())
+            {
+                Logger.Log($"\n--- Processing prompt: {promptDetails.Index}");
+
+                foreach (var step in steps)
+                {
+                    var res = await step.DoTransformation(promptDetails, stats);
+                    if (!res)
+                    {
+                        Logger.Log($"\tStep {step.Name} failed: {promptDetails.Show()}");
+                        continue;
+                    }
+                    Logger.Log($"\tStep:{step.Name} => {promptDetails.Show()}");
+                }
+
+
+                var tasks = _generators.Select(async generator =>
+                {
+                    var theCopy = promptDetails.Clone();
+                    TaskProcessResult result = await generator.ProcessPromptAsync(theCopy, stats);
+                    await _workflowContext.ImageManager.ProcessAndSaveAsync(result, basePromptGenerator, stats);
+                    return result;
+                }).ToList();
+
+                foreach (var t in tasks)
+                {
+                    await t.ContinueWith(OnFinished, TaskScheduler.Default);
+                }
+
+                allTasks.AddRange(tasks);
+                stats.PrintStats();
+                Console.WriteLine($"kicked off task.");
+            }
+
+            while (allTasks.Any(t => !t.IsCompleted))
+            {
+                var completed = allTasks.Count(t => t.IsCompleted);
+                var remaining = allTasks.Count - completed;
+                Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining …");
+                await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
+            }
+        }
+        private void OnFinished(Task<TaskProcessResult> task)
+        {
+
+            if (task.IsFaulted)
+            {
+                Logger.Log($"Task faulted: {task.Exception?.Flatten().InnerException}");
+                return;
+            }
+            if (task.IsCanceled)
+            {
+                Logger.Log("Task was canceled.");
+                return;
+            }
+
+            var res = task.Result;   
+            Logger.Log($"Finished in {res.CreateTotalMs + res.DownloadTotalMs} ms, {res.PromptDetails.Show()}");
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
index 20cb722..4b3c337 100644
--- a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
+++ b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
@@ -1,49 +1,49 @@
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.IO;
-using System.Linq;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class SamePromptMultipleTargetsWorkflow : IWorkflow
-    {
-        private readonly WorkflowContext _workflowContext;
-        private readonly IEnumerable<IImageGenerator> _generators;
-        private readonly AbstractPromptGenerator _abstractPromptGenerator;
-        private readonly Settings _settings;
-
-        public SamePromptMultipleTargetsWorkflow(
-            WorkflowContext workflowContext,
-            IEnumerable<IImageGenerator> generators,
-            AbstractPromptGenerator abstractPromptGenerator,
-            Settings settings)
-        {
-            _workflowContext = workflowContext;
-            _generators = generators;
-            _abstractPromptGenerator = abstractPromptGenerator;
-            _settings = settings;
-        }
-
-        public async Task RunAsync()
-        {
-            var stats = new MultiClientRunStats();
-            foreach (var promptDetails in _abstractPromptGenerator.Run())
-            {
-                // Process all generators asynchronously
-                var tasks = _generators.Select(async generator =>
-                {
-                    var theCopy = promptDetails.Clone();
-                    var result = await generator.ProcessPromptAsync(theCopy, stats);
-                    await _workflowContext.ImageManager.ProcessAndSaveAsync(result, _abstractPromptGenerator, stats);
-                }).ToList();
-                
-                await Task.WhenAll(tasks);
-
-                var combiner = new ImageCombiner();
-                //combiner.SaveMultipleImagesWithSubtitle(tasks, _settings, promptDetails.Prompt);
-            }
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.IO;
+using System.Linq;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class SamePromptMultipleTargetsWorkflow : IWorkflow
+    {
+        private readonly WorkflowContext _workflowContext;
+        private readonly IEnumerable<IImageGenerator> _generators;
+        private readonly AbstractPromptGenerator _abstractPromptGenerator;
+        private readonly Settings _settings;
+
+        public SamePromptMultipleTargetsWorkflow(
+            WorkflowContext workflowContext,
+            IEnumerable<IImageGenerator> generators,
+            AbstractPromptGenerator abstractPromptGenerator,
+            Settings settings)
+        {
+            _workflowContext = workflowContext;
+            _generators = generators;
+            _abstractPromptGenerator = abstractPromptGenerator;
+            _settings = settings;
+        }
+
+        public async Task RunAsync()
+        {
+            var stats = new MultiClientRunStats();
+            foreach (var promptDetails in _abstractPromptGenerator.Run())
+            {
+                // Process all generators asynchronously
+                var tasks = _generators.Select(async generator =>
+                {
+                    var theCopy = promptDetails.Clone();
+                    var result = await generator.ProcessPromptAsync(theCopy, stats);
+                    await _workflowContext.ImageManager.ProcessAndSaveAsync(result, _abstractPromptGenerator, stats);
+                }).ToList();
+                
+                await Task.WhenAll(tasks);
+
+                var combiner = new ImageCombiner();
+                //combiner.SaveMultipleImagesWithSubtitle(tasks, _settings, promptDetails.Prompt);
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/Services/GptImageOneService.cs b/MultiImageClient/Services/GptImageOneService.cs
index 59c5eb7..34c336f 100644
--- a/MultiImageClient/Services/GptImageOneService.cs
+++ b/MultiImageClient/Services/GptImageOneService.cs
@@ -1,126 +1,126 @@
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-
-using OpenAI;
-using OpenAI.Assistants;
-using OpenAI.Images;
-using OpenAI.Models;
-
-using System;
-using System.ClientModel;
-using System.Collections.Generic;
-using System.IO;
-using System.Net.Http;
-using System.Net.Http.Headers;
-using System.Reflection;
-
-using System.Threading;
-using System.Threading.Tasks;
-using System;
-using System.IO;
-using System.Net.Http;
-using System.Net.Http.Headers;
-using System.Text;
-using System.Text.Json;
-using System.Threading.Tasks;
-using System.Diagnostics;
-
-namespace MultiImageClient
-{
-    public class GptImageOneOptions
-    {
-        public string Prompt { get; set; }
-        public int? N { get; set; }
-        public string Model { get; set; }
-    }
-
-    public class GptImageOneService : IImageGenerationService
-    {
-        private SemaphoreSlim _gptImageOneSemaphore;
-        static readonly HttpClient http = new HttpClient();
-
-        public GptImageOneService(string apiKey, int maxConcurrency)
-        {
-            //var openAIClient = new OpenAIClient(apiKey);
-            //_openAIImageClient = openAIClient.GetImageClient("gpt-image-1");
-            _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
-            http.DefaultRequestHeaders.Authorization =
-                new AuthenticationHeaderValue("Bearer", apiKey);
-        }
-
-
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
-        {
-            await _gptImageOneSemaphore.WaitAsync();
-            var sw = Stopwatch.StartNew();
-            try
-            {
-                stats.GptImageOneRequestCount++;
-                var genOptions = new ImageGenerationOptions();
-                genOptions.Quality = promptDetails.GptImageOneDetails.quality;
-
-                var body = new
-                {
-                    model = "gpt-image-1",
-                    prompt = promptDetails.Prompt,
-                    moderation = "low",
-                    quality = "high",
-                    //response_format = "png",
-
-                    n = 1,
-                    //size = "1024x1024"
-                    size = "auto",
-                };
-
-                using var content = new StringContent(
-                    System.Text.Json.JsonSerializer.Serialize(body),
-                    Encoding.UTF8,
-                    "application/json");
-
-                using var resp = await http.PostAsync(
-                    "https://api.openai.com/v1/images/generations",
-                    content);
-
-                if (!resp.IsSuccessStatusCode)
-                {
-                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
-                }
-                resp.EnsureSuccessStatusCode();
-
-                var json = await resp.Content.ReadAsStringAsync();
-                //await File.WriteAllTextAsync("response.json", json);
-                using var doc = JsonDocument.Parse(json);
-                var qq = doc.RootElement.GetProperty("data");
-                var ll = qq.GetArrayLength();
-                var b64s = new List<string>();
-                foreach (var el in qq.EnumerateArray())
-                {
-                    var b64 = el.GetProperty("b64_json").GetString();
-                    b64s.Add(b64);  
-                }
-
-
-                Console.WriteLine($"Generated:{promptDetails.Prompt}");
-                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s,  Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
-            }
-            catch (Exception ex)
-            {
-                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
-            }
-            finally
-            {
-                _gptImageOneSemaphore.Release();
-            }
-        }
-    }
+using Anthropic.SDK;
+using Anthropic.SDK.Constants;
+using Anthropic.SDK.Messaging;
+
+using BFLAPIClient;
+
+using IdeogramAPIClient;
+
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+
+using OpenAI;
+using OpenAI.Assistants;
+using OpenAI.Images;
+using OpenAI.Models;
+
+using System;
+using System.ClientModel;
+using System.Collections.Generic;
+using System.IO;
+using System.Net.Http;
+using System.Net.Http.Headers;
+using System.Reflection;
+
+using System.Threading;
+using System.Threading.Tasks;
+using System;
+using System.IO;
+using System.Net.Http;
+using System.Net.Http.Headers;
+using System.Text;
+using System.Text.Json;
+using System.Threading.Tasks;
+using System.Diagnostics;
+
+namespace MultiImageClient
+{
+    public class GptImageOneOptions
+    {
+        public string Prompt { get; set; }
+        public int? N { get; set; }
+        public string Model { get; set; }
+    }
+
+    public class GptImageOneService : IImageGenerationService
+    {
+        private SemaphoreSlim _gptImageOneSemaphore;
+        static readonly HttpClient http = new HttpClient();
+
+        public GptImageOneService(string apiKey, int maxConcurrency)
+        {
+            //var openAIClient = new OpenAIClient(apiKey);
+            //_openAIImageClient = openAIClient.GetImageClient("gpt-image-1");
+            _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
+            http.DefaultRequestHeaders.Authorization =
+                new AuthenticationHeaderValue("Bearer", apiKey);
+        }
+
+
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
+        {
+            await _gptImageOneSemaphore.WaitAsync();
+            var sw = Stopwatch.StartNew();
+            try
+            {
+                stats.GptImageOneRequestCount++;
+                var genOptions = new ImageGenerationOptions();
+                genOptions.Quality = promptDetails.GptImageOneDetails.quality;
+
+                var body = new
+                {
+                    model = "gpt-image-1",
+                    prompt = promptDetails.Prompt,
+                    moderation = "low",
+                    quality = "high",
+                    //response_format = "png",
+
+                    n = 1,
+                    //size = "1024x1024"
+                    size = "auto",
+                };
+
+                using var content = new StringContent(
+                    System.Text.Json.JsonSerializer.Serialize(body),
+                    Encoding.UTF8,
+                    "application/json");
+
+                using var resp = await http.PostAsync(
+                    "https://api.openai.com/v1/images/generations",
+                    content);
+
+                if (!resp.IsSuccessStatusCode)
+                {
+                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
+                }
+                resp.EnsureSuccessStatusCode();
+
+                var json = await resp.Content.ReadAsStringAsync();
+                //await File.WriteAllTextAsync("response.json", json);
+                using var doc = JsonDocument.Parse(json);
+                var qq = doc.RootElement.GetProperty("data");
+                var ll = qq.GetArrayLength();
+                var b64s = new List<string>();
+                foreach (var el in qq.EnumerateArray())
+                {
+                    var b64 = el.GetProperty("b64_json").GetString();
+                    b64s.Add(b64);  
+                }
+
+
+                Console.WriteLine($"Generated:{promptDetails.Prompt}");
+                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s,  Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+            }
+            finally
+            {
+                _gptImageOneSemaphore.Release();
+            }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/imageGenerators/GptImageOneDetails.cs b/MultiImageClient/imageGenerators/GptImageOneDetails.cs
index 9261a8d..f2bc29e 100644
--- a/MultiImageClient/imageGenerators/GptImageOneDetails.cs
+++ b/MultiImageClient/imageGenerators/GptImageOneDetails.cs
@@ -1,31 +1,31 @@
-using IdeogramAPIClient;
-using OpenAI.Images;
-
-namespace MultiImageClient
-{
-    public class GptImageOneDetails : IDetails
-    {
-        public string Model { get; set; } = "gpt-image-1";
-        public string moderation { get; set; } = "low";
-        public string output_format { get; set; } = "png";
-        public string quality { get; set; } = "high";
-        public string size { get; set; } = "auto";
-
-        //public GeneratedImageSize Size { get; set; }
-        //public GeneratedImageQuality Quality { get; set; }
-        //public GeneratedImageFormat Format { get; set; }
-
-        public GptImageOneDetails() { }
-        public GptImageOneDetails(GptImageOneDetails other)
-        {
-            moderation =  other.moderation;
-            output_format = other.output_format;
-            quality= other.quality;
-            size= other.size;
-        }
-
-        public string GetDescription() { 
-            return $"{moderation}-{size}-{quality}-{size}";
-        }
-    }
+using IdeogramAPIClient;
+using OpenAI.Images;
+
+namespace MultiImageClient
+{
+    public class GptImageOneDetails : IDetails
+    {
+        public string Model { get; set; } = "gpt-image-1";
+        public string moderation { get; set; } = "low";
+        public string output_format { get; set; } = "png";
+        public string quality { get; set; } = "high";
+        public string size { get; set; } = "auto";
+
+        //public GeneratedImageSize Size { get; set; }
+        //public GeneratedImageQuality Quality { get; set; }
+        //public GeneratedImageFormat Format { get; set; }
+
+        public GptImageOneDetails() { }
+        public GptImageOneDetails(GptImageOneDetails other)
+        {
+            moderation =  other.moderation;
+            output_format = other.output_format;
+            quality= other.quality;
+            size= other.size;
+        }
+
+        public string GetDescription() { 
+            return $"{moderation}-{size}-{quality}-{size}";
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/imageGenerators/GptImageOneDetails1.cs b/MultiImageClient/imageGenerators/GptImageOneDetails1.cs
index 4182435..3576313 100644
--- a/MultiImageClient/imageGenerators/GptImageOneDetails1.cs
+++ b/MultiImageClient/imageGenerators/GptImageOneDetails1.cs
@@ -1,4 +1,4 @@
-namespace MultiImageClient
-{
-    
+namespace MultiImageClient
+{
+    
 }
\ No newline at end of file
diff --git a/MultiImageClient/imageGenerators/GptImageOneGenerator.cs b/MultiImageClient/imageGenerators/GptImageOneGenerator.cs
index 699fb94..a5ecfe4 100644
--- a/MultiImageClient/imageGenerators/GptImageOneGenerator.cs
+++ b/MultiImageClient/imageGenerators/GptImageOneGenerator.cs
@@ -1,27 +1,27 @@
-using OpenAI.Images;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class GptImageOneGenerator : AbstractImageGenerator, IImageGenerator  
-    {
-        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Dalle3;
-        public GptImageOneGenerator(IImageGenerationService svc, ImageGeneratorApiType imageGeneratorApiType) : base(svc, imageGeneratorApiType)
-        {
-        }
-        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var gptImageOneDetails = new GptImageOneDetails();
-            pd.GptImageOneDetails= gptImageOneDetails;
-
-            Logger.Log($"{pd.Show()} Submitting to GptImageOne");
-            var res = await _svc.ProcessPromptAsync(pd, stats);
-            return res;
-        }
-    }
-}
+using OpenAI.Images;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class GptImageOneGenerator : AbstractImageGenerator, IImageGenerator  
+    {
+        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Dalle3;
+        public GptImageOneGenerator(IImageGenerationService svc, ImageGeneratorApiType imageGeneratorApiType) : base(svc, imageGeneratorApiType)
+        {
+        }
+        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
+        {
+            var gptImageOneDetails = new GptImageOneDetails();
+            pd.GptImageOneDetails= gptImageOneDetails;
+
+            Logger.Log($"{pd.Show()} Submitting to GptImageOne");
+            var res = await _svc.ProcessPromptAsync(pd, stats);
+            return res;
+        }
+    }
+}
diff --git a/save_b64.py b/save_b64.py
index f18b5c0..8cfab6f 100644
--- a/save_b64.py
+++ b/save_b64.py
@@ -1,12 +1,12 @@
-import json, base64, pathlib, sys
-
-# load the JSON blob (file or string)
-#blob = json.loads(sys.stdin.read())          # or json.loads(<your_json_string>)
-
-
-b64 = """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"""
-
-#b64 = blob["b64_json"]                       # value returned by the OpenAI Images API
-data = base64.b64decode(b64)                 # → raw PNG bytes
-
+import json, base64, pathlib, sys
+
+# load the JSON blob (file or string)
+#blob = json.loads(sys.stdin.read())          # or json.loads(<your_json_string>)
+
+
+b64 = 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"""
+
+#b64 = blob["b64_json"]                       # value returned by the OpenAI Images API
+data = base64.b64decode(b64)                 # → raw PNG bytes
+
 pathlib.Path("output2.png").write_bytes(data) # write to disk
\ No newline at end of file

From a691983be0573d09b9ddd37483f756c9f880d180 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 14 Sep 2025 22:40:33 -0700
Subject: [PATCH 13/78] okay fixed some of the weird structure

---
 .editorconfig                                 |  10 +
 BFLApi/BFL11Details.cs                        |  74 -----
 BFLApi/BFL11UltraDetails.cs                   |  72 -----
 IdeogramAPI/IdeogramDetails.cs                |   5 -
 IdeogramAPI/request/options/IdeogramModel.cs  |   1 +
 ImageGenerationClasses/IDetails.cs            |   8 +-
 ImageGenerationClasses/Settings.cs            |   1 -
 MultiImageClient.sln                          |   5 +
 .../Enums/ImageGeneratorApiType.cs            |   2 +-
 MultiImageClient/ImageCombiner.cs             |   7 +-
 MultiImageClient/ImageManager.cs              |  42 +--
 .../Implementation/AbstractPromptGenerator.cs | 128 --------
 .../Implementation/AbstractPromptSource.cs    | 100 ++++++
 .../Implementation/FileNameGenerator.cs       |  82 ++---
 .../Implementation/IImageGenerationService.cs |   9 -
 .../Implementation/IImageGenerator.cs         |  14 -
 .../Implementation/ITransformationStep.cs     |   2 +-
 .../Implementation/ImageSaving.cs             | 130 ++++----
 .../Implementation/PromptDetails.cs           |  96 ++----
 MultiImageClient/Implementation/SaveType.cs   |   2 +-
 .../Implementation/TextFormatting.cs          |   7 +-
 .../Implementation/WorkflowContext.cs         |  15 -
 MultiImageClient/Program.cs                   | 149 +++++----
 .../PromptToImageWithStepsWorkflow.cs         |  98 ------
 .../SamePromptMultipleTargetsWorkflow.cs      |  68 +++--
 .../{BFLService.cs => BFLGenerator.cs}        | 286 ++++++++++--------
 MultiImageClient/Services/ClaudeService.cs    |   6 +-
 .../{Dalle3Service.cs => Dalle3Generator.cs}  | 160 +++++-----
 ...eOneService.cs => GptImageOneGenerator.cs} | 235 +++++++-------
 ...deogramService.cs => IdeogramGenerator.cs} | 176 ++++++-----
 MultiImageClient/Services/RecraftGenerator.cs | 149 +++++++++
 MultiImageClient/Services/RecraftService.cs   |  64 ----
 .../imageGenerators/AbstractImageGenerator.cs |  17 --
 .../imageGenerators/BFLGenerator.cs           |  49 ---
 .../imageGenerators/Dalle3Details.cs          |  27 --
 .../imageGenerators/Dalle3Generator.cs        |  33 --
 .../imageGenerators/GptImageOneDetails.cs     |  31 --
 .../imageGenerators/GptImageOneDetails1.cs    |   4 -
 .../imageGenerators/GptImageOneGenerator.cs   |  27 --
 .../imageGenerators/IdeogramGenerator.cs      |  37 ---
 .../imageGenerators/RecraftGenerator.cs       |  90 ------
 .../promptGenerators/DeckOfCards.cs           |   4 +-
 .../promptGenerators/EmotionFaces.cs          |   4 +-
 .../promptGenerators/LoadDoubleFromFile.cs    |  10 +-
 .../promptGenerators/LoadFromFile.cs          |  97 ------
 .../ReadAllPromptsFromFile.cs                 |  82 +++++
 .../promptGenerators/RecraftAllsStyles.cs     |  11 +-
 .../promptGenerators/ScenesFromStory.cs       |   3 +-
 .../promptGenerators/SinglePromptGenerator.cs |   7 +-
 .../promptGenerators/StillLife.cs             |   4 +-
 MultiImageClient/promptGenerators/TPSigns.cs  |   4 +-
 .../promptGenerators/WriteHere.cs             |   4 +-
 .../promptTransformation/ClaudeRewriteStep.cs |   8 +-
 .../promptTransformation/IImageGenerator.cs   |  28 ++
 .../ManualModificationStep.cs                 |   6 +-
 .../promptTransformation/RandomizerStep.cs    |   2 +-
 .../promptTransformation/StylizerStep.cs      |   2 +-
 RecraftAPI/RecraftDetails.cs                  |  33 +-
 58 files changed, 1142 insertions(+), 1685 deletions(-)
 create mode 100644 .editorconfig
 delete mode 100644 BFLApi/BFL11Details.cs
 delete mode 100644 BFLApi/BFL11UltraDetails.cs
 delete mode 100644 MultiImageClient/Implementation/AbstractPromptGenerator.cs
 create mode 100644 MultiImageClient/Implementation/AbstractPromptSource.cs
 delete mode 100644 MultiImageClient/Implementation/IImageGenerationService.cs
 delete mode 100644 MultiImageClient/Implementation/IImageGenerator.cs
 delete mode 100644 MultiImageClient/Implementation/WorkflowContext.cs
 delete mode 100644 MultiImageClient/PromptToImageWithStepsWorkflow.cs
 rename MultiImageClient/Services/{BFLService.cs => BFLGenerator.cs} (55%)
 rename MultiImageClient/Services/{Dalle3Service.cs => Dalle3Generator.cs} (58%)
 rename MultiImageClient/Services/{GptImageOneService.cs => GptImageOneGenerator.cs} (67%)
 rename MultiImageClient/Services/{IdeogramService.cs => IdeogramGenerator.cs} (66%)
 create mode 100644 MultiImageClient/Services/RecraftGenerator.cs
 delete mode 100644 MultiImageClient/Services/RecraftService.cs
 delete mode 100644 MultiImageClient/imageGenerators/AbstractImageGenerator.cs
 delete mode 100644 MultiImageClient/imageGenerators/BFLGenerator.cs
 delete mode 100644 MultiImageClient/imageGenerators/Dalle3Details.cs
 delete mode 100644 MultiImageClient/imageGenerators/Dalle3Generator.cs
 delete mode 100644 MultiImageClient/imageGenerators/GptImageOneDetails.cs
 delete mode 100644 MultiImageClient/imageGenerators/GptImageOneDetails1.cs
 delete mode 100644 MultiImageClient/imageGenerators/GptImageOneGenerator.cs
 delete mode 100644 MultiImageClient/imageGenerators/IdeogramGenerator.cs
 delete mode 100644 MultiImageClient/imageGenerators/RecraftGenerator.cs
 delete mode 100644 MultiImageClient/promptGenerators/LoadFromFile.cs
 create mode 100644 MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
 create mode 100644 MultiImageClient/promptTransformation/IImageGenerator.cs

diff --git a/.editorconfig b/.editorconfig
new file mode 100644
index 0000000..ecf37cb
--- /dev/null
+++ b/.editorconfig
@@ -0,0 +1,10 @@
+[*.cs]
+
+# IDE0022: Use block body for method
+csharp_style_expression_bodied_methods = true
+
+# IDE0090: Use 'new(...)'
+dotnet_diagnostic.IDE0090.severity = none
+
+# CA1416: Validate platform compatibility
+dotnet_diagnostic.CA1416.severity = none
diff --git a/BFLApi/BFL11Details.cs b/BFLApi/BFL11Details.cs
deleted file mode 100644
index abea11a..0000000
--- a/BFLApi/BFL11Details.cs
+++ /dev/null
@@ -1,74 +0,0 @@
-using MultiImageClient;
-
-namespace IdeogramAPIClient
-{
-    public class BFL11Details : IDetails
-    {
-        private int _width = 1024;
-        private int _height = 1024;
-
-        public int Width
-        {
-            get => _width;
-            set
-            {
-                SetWidth(value);
-            }
-        }
-
-        public int Height
-        {
-            get => _height;
-            set
-            {
-                SetHeight(value);
-            } 
-        }
-
-        public bool PromptUpsampling { get; set; } = true;
-        public int SafetyTolerance { get; set; } = 6;
-        public int? Seed { get; set; }
-
-        public BFL11Details() { }
-
-        public BFL11Details(BFL11Details other)
-        {
-            SetWidth(other.Width);
-            SetHeight(other.Height);
-            PromptUpsampling = other.PromptUpsampling;
-            SafetyTolerance = other.SafetyTolerance;
-            Seed = other.Seed;
-        }
-
-        private void SetWidth(int value)
-        {
-            if (value % 32 != 0)
-            {
-                throw new System.ArgumentException("Image width must be a multiple of 32");
-            }
-            if (value > 1440)
-            {
-                throw new System.ArgumentException("Image width must be less than or equal to 1440");
-            }
-            _width = value;
-        }
-
-        private void SetHeight(int value)
-        {
-            if (value % 32 != 0)
-            {
-                throw new System.ArgumentException("Image height must be a multiple of 32");
-            }
-            if (value > 1440)
-            {
-                throw new System.ArgumentException("Image height must be less than or equal to 1440");
-            }
-            _height = value;
-        }
-
-        public string GetDescription()
-        {
-            return $"{Width}x{Height}, {Seed}";
-        }
-    }
-}
diff --git a/BFLApi/BFL11UltraDetails.cs b/BFLApi/BFL11UltraDetails.cs
deleted file mode 100644
index 9167444..0000000
--- a/BFLApi/BFL11UltraDetails.cs
+++ /dev/null
@@ -1,72 +0,0 @@
-using MultiImageClient;
-
-namespace IdeogramAPIClient
-{
-    public class BFL11UltraDetails : IDetails
-    {
-        //private int _width = 1024;
-        //private int _height = 1024;
-        private string _aspectRatio = "1:1";
-        
-        public string AspectRatio
-        {
-            get => _aspectRatio;
-            set
-            {
-                SetAspectRatio(value);
-            }
-        }
-
-        public bool PromptUpsampling { get; set; } = true;
-        public int SafetyTolerance { get; set; } = 6;
-        public int? Seed { get; set; }
-
-        public BFL11UltraDetails() { }
-
-        public BFL11UltraDetails(BFL11UltraDetails other)
-        {
-            //SetWidth(other.Width);
-            //SetHeight(other.Height);
-            PromptUpsampling = other.PromptUpsampling;
-            SafetyTolerance = other.SafetyTolerance;
-            Seed = other.Seed;
-        }
-
-        //private void SetWidth(int value)
-        //{
-        //    if (value % 32 != 0)
-        //    {
-        //        throw new System.ArgumentException("Image width must be a multiple of 32");
-        //    }
-        //    if (value > 3900)
-        //    {
-        //        throw new System.ArgumentException("Image width must be less than or equal to 3900");
-        //    }
-        //    _width = value;
-        //}
-
-        //private void SetHeight(int value)
-        //{
-        //    if (value % 32 != 0)
-        //    {
-        //        throw new System.ArgumentException("Image height must be a multiple of 32");
-        //    }
-        //    if (value > 3900)
-        //    {
-        //        throw new System.ArgumentException("Image height must be less than or equal to 3900");
-        //    }
-        //    _height = value;
-        //}
-
-        private void SetAspectRatio(string aspectRatio)
-        {
-
-            _aspectRatio = aspectRatio;
-        }
-
-        public string GetDescription()
-        {
-            return $"{_aspectRatio}";
-        }
-    }
-}
diff --git a/IdeogramAPI/IdeogramDetails.cs b/IdeogramAPI/IdeogramDetails.cs
index e410053..82001a0 100644
--- a/IdeogramAPI/IdeogramDetails.cs
+++ b/IdeogramAPI/IdeogramDetails.cs
@@ -20,11 +20,6 @@ public IdeogramDetails(IdeogramDetails other)
             NegativePrompt = other.NegativePrompt;
         }
 
-        public string GetDescription()
-        {
-            return $"{StyleType}";
-        }
-
         public IDetails Clone()
         {
             throw new NotImplementedException();
diff --git a/IdeogramAPI/request/options/IdeogramModel.cs b/IdeogramAPI/request/options/IdeogramModel.cs
index 1e15bb9..c248fb4 100644
--- a/IdeogramAPI/request/options/IdeogramModel.cs
+++ b/IdeogramAPI/request/options/IdeogramModel.cs
@@ -6,5 +6,6 @@ public enum IdeogramModel
         V_1_TURBO,
         V_2,
         V_2_TURBO
+        // todo update to use ideogram 3! https://developer.ideogram.ai/api-reference/api-reference/generate-v3
     }
 }
diff --git a/ImageGenerationClasses/IDetails.cs b/ImageGenerationClasses/IDetails.cs
index 7f7465b..e52b74c 100644
--- a/ImageGenerationClasses/IDetails.cs
+++ b/ImageGenerationClasses/IDetails.cs
@@ -1,8 +1,12 @@
-namespace MultiImageClient
+using System.Collections.Generic;
+using System.Drawing;
+
+namespace MultiImageClient
 {
     public interface IDetails
 
     {
-        public string GetDescription();
+        
     }
 }
+ 
\ No newline at end of file
diff --git a/ImageGenerationClasses/Settings.cs b/ImageGenerationClasses/Settings.cs
index 5cb2b48..e4a82c9 100644
--- a/ImageGenerationClasses/Settings.cs
+++ b/ImageGenerationClasses/Settings.cs
@@ -26,7 +26,6 @@ public class Settings
 
         public static Settings LoadFromFile(string filePath)
         {
-            
             if (!File.Exists(filePath))
             {
                 throw new FileNotFoundException($"Settings file not found: {filePath}");
diff --git a/MultiImageClient.sln b/MultiImageClient.sln
index 04e6810..41d702c 100644
--- a/MultiImageClient.sln
+++ b/MultiImageClient.sln
@@ -13,6 +13,11 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "ImageGenerationClasses", "I
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "RecraftAPIClient", "RecraftAPI\RecraftAPIClient.csproj", "{5A29AA17-8556-4456-8FFC-E8E2AF015537}"
 EndProject
+Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Solution Items", "Solution Items", "{02EA681E-C7D8-13C7-8484-4AC65E1B71E8}"
+	ProjectSection(SolutionItems) = preProject
+		.editorconfig = .editorconfig
+	EndProjectSection
+EndProject
 Global
 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
 		Debug|Any CPU = Debug|Any CPU
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 2686355..9c54fdd 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -9,7 +9,7 @@ public enum ImageGeneratorApiType
         Ideogram = 3,
         BFLv11 = 4,
         Recraft = 5,
-        GptImage1 = 6,
+        GptImage1 = 6, 
         BFLv11Ultra = 7,
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/ImageCombiner.cs b/MultiImageClient/ImageCombiner.cs
index adb410d..4904815 100644
--- a/MultiImageClient/ImageCombiner.cs
+++ b/MultiImageClient/ImageCombiner.cs
@@ -15,7 +15,7 @@ internal class ImageCombiner
     {
         /// when combining images generated by multiple sources, if one fails, use this as the placeholder image width.
         private static int failWidth = 300;
-        
+
         //internal void SaveMultipleImagesWithSubtitle(IEnumerable<Task> createdImages, Settings settings, string prompt)
         //{
         //    var fontForSubtitle = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
@@ -24,7 +24,8 @@ internal class ImageCombiner
         //    int totalWidth = 0;
         //    var totalLoaded = createdImages.Where(el => el.IsCompleted == true && el.).Count();
         //    int maxImageHeight = 500;
-        //    if (totalLoaded > 0) {
+        //    if (totalLoaded > 0)
+        //    {
         //        maxImageHeight = createdImages.Where(el => el.IsSuccess == true).Max(el => el.Image.Height);
         //    }
         //    foreach (var (success, image, imageGenerator) in createdImages)
@@ -37,7 +38,7 @@ internal class ImageCombiner
         //        {
         //            //we should just put a blank box here with text on the bottom describing the error or whatever.
         //            totalWidth += failWidth;
-        //        }                    
+        //        }
         //    }
 
         //    // Measure text height
diff --git a/MultiImageClient/ImageManager.cs b/MultiImageClient/ImageManager.cs
index 3a8b34f..63af902 100644
--- a/MultiImageClient/ImageManager.cs
+++ b/MultiImageClient/ImageManager.cs
@@ -12,13 +12,15 @@ namespace MultiImageClient
     public class ImageManager
     {
         private readonly Settings _settings;
+        private readonly MultiClientRunStats _stats;
 
-        public ImageManager(Settings settings)
+        public ImageManager(Settings settings, MultiClientRunStats stats)
         {
             _settings = settings;
+            _stats = stats;
         }
 
-        public async Task<Dictionary<SaveType, string>> DoSaveAsync(AbstractPromptGenerator generator, byte[] imageBytes, TaskProcessResult result, MultiClientRunStats stats, Settings settings)
+        public async Task<Dictionary<SaveType, string>> DoSaveAsync(IImageGenerator generator, byte[] imageBytes, TaskProcessResult result, Settings settings)
         {
             if (imageBytes == null || imageBytes.Length == 0)
             {
@@ -26,31 +28,17 @@ public async Task<Dictionary<SaveType, string>> DoSaveAsync(AbstractPromptGenera
                 throw new Exception("Bad image.");
             }
             var savedImagePaths = new Dictionary<SaveType, string>();
-            if (generator.SaveRaw)
-            {
-                savedImagePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.Raw, generator.Name);
-            }
-            if (generator.SaveFullAnnotation)
-            {
-                savedImagePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.FullAnnotation, generator.Name);
-            }
-            if (generator.SaveFinalPrompt)
-            {
-                savedImagePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.FinalPrompt, generator.Name);
-            }
-            if (generator.SaveInitialIdea)
-            {
-                savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.InitialIdea, generator.Name);
-            }
-            if (generator.SaveJustOverride)
-            {
-                savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, stats, SaveType.JustOverride, generator.Name);
-            }
+
+            savedImagePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.Raw, generator);
+            savedImagePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.FullAnnotation, generator);
+            savedImagePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.FinalPrompt, generator);
+            savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.InitialIdea, generator);
+            savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.JustOverride, generator);
 
             return savedImagePaths;
         }
 
-        public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult result, AbstractPromptGenerator promptGenerator, MultiClientRunStats stats)
+        public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult result, IImageGenerator generator)
         {
             try
             {
@@ -64,7 +52,7 @@ public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult resul
                 {
                     imageBytes = await ImageSaving.DownloadImageAsync(result);
                     result.DownloadTotalMs = sw.ElapsedMilliseconds;
-                    var downloadResults = await DoSaveAsync(promptGenerator, imageBytes, result, stats, _settings);
+                    var downloadResults = await DoSaveAsync(generator, imageBytes, result, _settings);
                     await SaveJsonLogAsync(result, downloadResults);
                     return result;
                 }
@@ -75,7 +63,7 @@ public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult resul
                     {
                         //Console.WriteLine($"Saving one things: {ii}");
                         imageBytes = Convert.FromBase64String(qq);
-                        var downloadResults = await DoSaveAsync(promptGenerator, imageBytes, result, stats, _settings);
+                        var downloadResults = await DoSaveAsync(generator, imageBytes, result, _settings);
                         ii++;
                         await SaveJsonLogAsync(result, downloadResults);
                     }
@@ -83,7 +71,7 @@ public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult resul
                     return result;
                 }
 
-                
+
             }
             catch (Exception ex)
             {
@@ -103,7 +91,7 @@ private async Task SaveJsonLogAsync(TaskProcessResult result, Dictionary<SaveTyp
                 result.PromptDetails,
                 GeneratedImageUrl = result.Url,
                 SavedImagePaths = savedImagePaths,
-                ServiceUsed = result.ImageGenerator,
+                GeneratorUsed = result.ImageGenerator,
                 result.ErrorMessage,
             };
 
diff --git a/MultiImageClient/Implementation/AbstractPromptGenerator.cs b/MultiImageClient/Implementation/AbstractPromptGenerator.cs
deleted file mode 100644
index d78e874..0000000
--- a/MultiImageClient/Implementation/AbstractPromptGenerator.cs
+++ /dev/null
@@ -1,128 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Reflection.Emit;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    /// <summary>
-    /// generate as much as you can of the prompt in here.
-    /// </summary>
-    public abstract class AbstractPromptGenerator
-    {
-        public abstract IEnumerable<PromptDetails> Prompts { get; }
-        public abstract int ImageCreationLimit { get; }
-        /// how many times we send this prompt as of this level.
-        public abstract int CopiesPer { get; }
-
-        /// i.e. how many times we send it to each image generator, after applying all prior manipulation steps
-        public virtual int FullyResolvedCopiesPer { get; } = 1;
-        public abstract string Prefix { get; }
-        /// <summary>
-        ///  Variant leading texts, if any, which you want to include after the global prefix.
-        ///  
-        /// The overall structure we'll iterate through is: (copiesPer *) Prefix + Variant + Prompt + Suffix
-        /// </summary>
-        public abstract IEnumerable<string> Variants { get; }
-        public abstract string Suffix { get; }
-        public abstract bool RandomizeOrder { get; }
-        public abstract string Name { get; }
-
-        //defaults
-        public virtual bool SaveRaw => true;
-        public virtual bool SaveFullAnnotation => true;
-        public virtual bool SaveFinalPrompt => true;
-        public virtual bool SaveInitialIdea => true;
-        
-
-        /// <summary>
-        /// the version with just a simple below-image word/phrase set during prompt expansion
-        /// </summary>
-        public virtual bool SaveJustOverride => true;
-
-        
-        public Settings Settings { get; set; }
-
-        public AbstractPromptGenerator(Settings settings)
-        {
-            Settings = settings;
-        }
-
-        
-
-        /// Implementers should have their .Run method called from Program.cs to iterate through your prompts.
-        // expand the things we've set up into all the prmopts wanted.
-        public IEnumerable<PromptDetails> Run()
-        {
-            var useVariants = new List<string>() { "" };
-            if (Variants != null && Variants.Count() > 0)
-            {
-                useVariants = Variants.ToList();
-            }
-            var returnedCount = 0;
-            foreach (var promptDetails in Prompts)
-            {
-                var cleanPrompt = TextUtils.CleanPrompt(promptDetails.Prompt).Trim();
-                if (string.IsNullOrWhiteSpace(cleanPrompt))
-                {
-                    continue;
-                }
-
-                foreach (var variantText in useVariants)
-                {
-                    var usingPrompt = cleanPrompt;
-                    if (!string.IsNullOrWhiteSpace(Prefix))
-                    {
-                        usingPrompt = $"{Prefix} {cleanPrompt}".Trim();
-                    }
-                    if (!string.IsNullOrWhiteSpace(variantText))
-                    {
-                        usingPrompt = $"{variantText} {usingPrompt}".Trim();
-                    }
-                    if (!string.IsNullOrWhiteSpace(Suffix))
-                    {
-                        usingPrompt = $"{usingPrompt} {Suffix}".Trim();
-                    }
-
-                    if (usingPrompt != promptDetails.Prompt)
-                    {
-                        Console.WriteLine(usingPrompt);
-                        Console.WriteLine(promptDetails.Prompt);
-                        promptDetails.ReplacePrompt(usingPrompt, usingPrompt, TransformationType.Variants);
-                    }
-                    Console.WriteLine(promptDetails.Show());
-                    Console.WriteLine("Do you accept this prompt? y for yes.");
-                    var value = Console.ReadLine();
-                    if (value.Trim() == "y")
-                    {
-                        Console.WriteLine("accepted.");
-                        yield return promptDetails;
-                    }
-                    else if (value.TrimEnd() == "n")
-                    {
-                        continue;
-                    }
-                    else
-                    {
-                        var userPrompt = TextUtils.CleanPrompt(value.Trim()).Trim();
-                        var newPd = new PromptDetails();
-                        newPd.ReplacePrompt(userPrompt, userPrompt, TransformationType.InitialPrompt);
-                        yield return newPd;
-                        continue;
-                    }
-
-                    for (var ii = 0; ii < CopiesPer; ii++)
-                    {
-                        var copy = promptDetails.Clone();
-                        returnedCount++;
-                        yield return copy;
-                        if (returnedCount >= ImageCreationLimit) yield break;
-                    }
-                    if (returnedCount >= ImageCreationLimit) yield break;
-                }
-                if (returnedCount >= ImageCreationLimit) yield break;
-            }
-        }
-    }
-}
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/AbstractPromptSource.cs b/MultiImageClient/Implementation/AbstractPromptSource.cs
new file mode 100644
index 0000000..db43d34
--- /dev/null
+++ b/MultiImageClient/Implementation/AbstractPromptSource.cs
@@ -0,0 +1,100 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Reflection.Emit;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    /// this a way of loading a bunch of user configs for prompts. like, what do you want the text of the prompt to say? (and optionally, should it be big, landscape, whatever?)
+    /// things like actually mapping that to whatever options are provided by the image generator is another job, for IDetails (future, IJobSpec or something like that)
+    public abstract class AbstractPromptSource
+    {
+        public abstract IEnumerable<PromptDetails> Prompts { get; }
+
+        ///  ----------- SETTINGS -----------------
+
+        public abstract int ImageCreationLimit { get; }
+
+        /// how many times we send this prompt as of this level.
+        public abstract int CopiesPer { get; }
+
+        /// i.e. how many times we send it to each image generator, after applying all prior manipulation steps
+        public virtual int FullyResolvedCopiesPer { get; } = 1;
+        public abstract string Prefix { get; }
+        public abstract string Suffix { get; }
+
+        ///  Variant leading texts, if any, which you want to include after the global prefix.
+        /// The overall structure we'll iterate through is: (copiesPer *) Prefix + Variant + Prompt + Suffix
+        public abstract bool RandomizeOrder { get; }
+        public abstract string Name { get; }
+        public Settings Settings { get; set; }
+        
+
+        public AbstractPromptSource(Settings settings)
+        {
+            Settings = settings;
+        }
+
+        /// Implementers should have their .Iter method called from Program.cs to iterate through your prompts.
+        // expand the things we've set up into all the prmopts wanted.
+        public IEnumerable<PromptDetails> Iter(IEnumerable<PromptDetails> thePromptDetails)
+        {
+            var returnedCount = 0;
+            foreach (var promptDetails in thePromptDetails)
+            {
+                var cleanPrompt = TextUtils.CleanPrompt(promptDetails.Prompt).Trim();
+                if (string.IsNullOrWhiteSpace(cleanPrompt))
+                {
+                    continue;
+                }
+
+                var usingPrompt = cleanPrompt;
+                if (!string.IsNullOrWhiteSpace(Prefix))
+                {
+                    usingPrompt = $"{Prefix} {cleanPrompt}".Trim();
+                }
+
+          
+
+                if (usingPrompt != promptDetails.Prompt)
+                {
+                    Console.WriteLine(usingPrompt);
+                    Console.WriteLine(promptDetails.Prompt);
+                    promptDetails.ReplacePrompt(usingPrompt, usingPrompt, TransformationType.Variants);
+                }
+
+                Console.WriteLine(promptDetails.Show());
+                Console.WriteLine("Do you accept this prompt? y for yes.");
+                var value = Console.ReadLine();
+                if (value.Trim() == "y")
+                {
+                    Console.WriteLine("accepted.");
+                    yield return promptDetails;
+                }
+                else if (value.TrimEnd() == "n")
+                {
+                    continue;
+                }
+                else
+                {
+                    var userPrompt = TextUtils.CleanPrompt(value.Trim()).Trim();
+                    var newPd = new PromptDetails();
+                    newPd.ReplacePrompt(userPrompt, userPrompt, TransformationType.InitialPrompt);
+                    yield return newPd;
+                    continue;
+                }
+
+                //for (var ii = 0; ii < CopiesPer; ii++)
+                //{
+                //    var copy = promptDetails.Clone();
+                //    returnedCount++;
+                //    yield return copy;
+                //    if (returnedCount >= ImageCreationLimit) yield break;
+                //}
+
+                if (returnedCount >= ImageCreationLimit) yield break;
+            }
+        }
+    }
+}
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/FileNameGenerator.cs b/MultiImageClient/Implementation/FileNameGenerator.cs
index 68189cc..6921ed1 100644
--- a/MultiImageClient/Implementation/FileNameGenerator.cs
+++ b/MultiImageClient/Implementation/FileNameGenerator.cs
@@ -12,36 +12,35 @@ namespace MultiImageClient
 {
     public static class FilenameGenerator
     {
-        private static string TruncatePrompt(string prompt, int maxLength)
+        public static string TruncatePrompt(string prompt, int maxLength)
         {
             return prompt.Length > maxLength ? prompt.Substring(0, maxLength) : prompt;
         }
 
-
         private static string DescribeResolution(PromptDetails details)
         {
-            if (details.BFL11Details != null && details.BFL11Details.Width != default && details.BFL11Details.Height != default)
-                return $"{details.BFL11Details.Width}x{details.BFL11Details.Height}";
-            else if (details.Dalle3Details != null)
-                return details.Dalle3Details.Size.ToString();
-            else if (details.IdeogramDetails?.AspectRatio != null)
-                return IdeogramUtils.StringifyAspectRatio(details.IdeogramDetails.AspectRatio.Value);
-            else if (details.RecraftDetails != null)
-                return details.RecraftDetails.size.ToString().TrimStart('_');
-            else if (details.GptImageOneDetails != null)
-                return $"{details.GptImageOneDetails.size}";
-            else if (details.BFL11UltraDetails != null)
-                return $"{details.BFL11UltraDetails.AspectRatio}";
-            else
-                Console.WriteLine("failed to get any details for esolution description");
+            //if (details.BFL11Details != null && details.BFL11Details.Width != default && details.BFL11Details.Height != default)
+            //    return $"{details.BFL11Details.Width}x{details.BFL11Details.Height}";
+            //else if (details.Dalle3Details != null)
+            //    return details.Dalle3Details.Size.ToString();
+            //else if (details.IdeogramDetails?.AspectRatio != null)
+            //    return IdeogramUtils.StringifyAspectRatio(details.IdeogramDetails.AspectRatio.Value);
+            //else if (details.RecraftDetails != null)
+            //    return details.RecraftDetails.size.ToString().TrimStart('_');
+            //else if (details.GptImageOneDetails != null)
+            //    return $"{details.GptImageOneDetails.size}";
+            //else if (details.BFL11UltraDetails != null)
+            //    return $"{details.BFL11UltraDetails.AspectRatio}";
+            //else
+            //    Console.WriteLine("failed to get any details for esolution description");
 
             return "resolution_unknown";
         }
 
         private static string DescribeSafetyTolerance(PromptDetails details)
         {
-            if (details.BFL11Details != null && details.BFL11Details.SafetyTolerance != default)
-                return $"safety{details.BFL11Details.SafetyTolerance}";
+            //if (details.BFL11Details != null && details.BFL11Details.SafetyTolerance != default)
+            //    return $"safety{details.BFL11Details.SafetyTolerance}";
             return "";
         }
 
@@ -55,57 +54,15 @@ private static string SanitizeFilename(string filename)
             return sanitized.Length > 200 ? sanitized.Substring(0, 200) : sanitized;
         }
 
-        private static string GetIfAPIServiceDoesRewrites(PromptDetails details)
-        {
-            if (details.BFL11Details != null)
-            {
-                if (details.BFL11Details.PromptUpsampling)
-                {
-                    return "BFL_upsampling";
-                }
-                else
-                {
-                    return "";
-                }
-            }
-            if (details.IdeogramDetails != null)
-            {
-                if (details.IdeogramDetails.MagicPromptOption == IdeogramMagicPromptOption.ON)
-                {
-                    return "MagicPrompt_YES";
-                }
-                else if (details.IdeogramDetails.MagicPromptOption == IdeogramMagicPromptOption.AUTO)
-                {
-                    return "MagicPrompt_Auto";
-                }
-                else
-                {
-                    return "";
-                }
-            }
-            return "";
-        }
-
 
-        public static string GenerateUniqueFilename(TaskProcessResult result, string baseFolder, string promptGeneratorName, SaveType saveType)
+        public static string GenerateUniqueFilename(string generatorFilenamePart, TaskProcessResult result, string baseFolder, SaveType saveType)
         {
-            var usingPromptTextPart = TruncatePrompt(result.PromptDetails.Prompt, 90);
-            if (!string.IsNullOrEmpty(result.PromptDetails.IdentifyingConcept))
-            {
-                usingPromptTextPart = result.PromptDetails.IdentifyingConcept;
-            }
-
             var components = new List<string>() { };
 
             //components.Add(promptGeneratorName);
             components.Add(DateTime.Now.ToString("yyyyMMddHHmmss"));
             components.Add(result.ImageGenerator.ToString());
-            components.Add(usingPromptTextPart);
-            if (result.PromptDetails.RecraftDetails != null)
-            {
-                components.Add(result.PromptDetails.RecraftDetails.style.ToString());
-                components.Add(result.PromptDetails.RecraftDetails.substyle.ToString());
-            }
+            
             if (!string.IsNullOrEmpty(result.ContentType))
             {
                 var ss = result.ContentType.ToString();
@@ -119,7 +76,6 @@ public static string GenerateUniqueFilename(TaskProcessResult result, string bas
             }
 
             components.Add(DescribeResolution(result.PromptDetails));
-            components.Add(GetIfAPIServiceDoesRewrites(result.PromptDetails));
             
             components.Add(saveType.ToString());
 
diff --git a/MultiImageClient/Implementation/IImageGenerationService.cs b/MultiImageClient/Implementation/IImageGenerationService.cs
deleted file mode 100644
index 328beb8..0000000
--- a/MultiImageClient/Implementation/IImageGenerationService.cs
+++ /dev/null
@@ -1,9 +0,0 @@
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public interface IImageGenerationService
-    {
-        Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats);
-    }
-}
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/IImageGenerator.cs b/MultiImageClient/Implementation/IImageGenerator.cs
deleted file mode 100644
index 1a14efc..0000000
--- a/MultiImageClient/Implementation/IImageGenerator.cs
+++ /dev/null
@@ -1,14 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public interface IImageGenerator
-    {
-        Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats);
-        public ImageGeneratorApiType GetApiType { get; }
-    }
-}
diff --git a/MultiImageClient/Implementation/ITransformationStep.cs b/MultiImageClient/Implementation/ITransformationStep.cs
index 6aa69e2..d947109 100644
--- a/MultiImageClient/Implementation/ITransformationStep.cs
+++ b/MultiImageClient/Implementation/ITransformationStep.cs
@@ -4,7 +4,7 @@ namespace MultiImageClient
 {
     public interface ITransformationStep
     {
-        Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats);
+        Task<bool> DoTransformation(PromptDetails pd);
         string Name { get; }
     }
 }
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 053d7d8..b6555dd 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -56,9 +56,8 @@ public static async Task<string> SaveImageAsync(
             byte[] imageBytes,
             TaskProcessResult result,
             Settings settings,
-            MultiClientRunStats stats,
             SaveType saveType,
-            string promptGeneratorName)
+            IImageGenerator generator)
         {
             string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
             string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder);
@@ -98,7 +97,10 @@ public static async Task<string> SaveImageAsync(
                 Console.WriteLine("some other weird contenttype. {result.ContentType}");
             }
 
-            var safeFilename = FilenameGenerator.GenerateUniqueFilename(result, baseFolder, promptGeneratorName, saveType);
+            var usingPromptTextPart = FilenameGenerator.TruncatePrompt(result.PromptDetails.Prompt, 90);
+            var generatorFilename = generator.GetFilenamePart(result.PromptDetails);
+
+            var safeFilename = FilenameGenerator.GenerateUniqueFilename($"{usingPromptTextPart}_{generatorFilename}", result, baseFolder, saveType);
             var fullPath = Path.Combine(baseFolder, safeFilename);
 
             try
@@ -112,11 +114,11 @@ public static async Task<string> SaveImageAsync(
                 if (saveType == SaveType.Raw)
                 {
                     //Logger.Log($"Saved {saveType} image. Fp: {fullPath}");
-                    stats.SavedRawImageCount++;
+                    //stats.SavedRawImageCount++;
                 }
                 else
                 {
-                    var imageInfo = GetAnnotationDefaultData(result, fullPath, saveType, promptGeneratorName);
+                    var imageInfo = GetAnnotationDefaultData(result, fullPath, saveType, generator);
                     var usingSteps = GetUsingSteps(saveType, result.PromptDetails);
                     if (saveType == SaveType.JustOverride)
                     {
@@ -138,7 +140,7 @@ await TextFormatting.SaveImageAndAnnotate(
                             saveType
                         );
                     }
-                    stats.SavedAnnotatedImageCount++;
+                    //stats.SavedAnnotatedImageCount++;
                 }
             }
             catch (Exception ex)
@@ -163,7 +165,7 @@ private static Dictionary<string, string> GetAnnotationDefaultData(
             TaskProcessResult result,
             string fullPath,
             SaveType saveType,
-            string promptGeneratorName)
+            IImageGenerator generator)
         {
             var imageInfo = new Dictionary<string, string>();
             var promptDetails = result.PromptDetails;
@@ -171,7 +173,7 @@ private static Dictionary<string, string> GetAnnotationDefaultData(
             switch (saveType)
             {
                 case SaveType.FullAnnotation:
-                    AddFullAnnotationInfo(imageInfo, result.ImageGenerator, promptDetails, promptGeneratorName, result);
+                    //AddFullAnnotationInfo(imageInfo, result.ImageGenerator, promptDetails, promptGeneratorName, result);
                     imageInfo.Add("Filename", Path.GetFileName(fullPath));
                     break;
                 case SaveType.InitialIdea:
@@ -189,7 +191,6 @@ private static Dictionary<string, string> GetAnnotationDefaultData(
                     break;
                 case SaveType.JustOverride:
                     var initialPrompt2 = promptDetails.TransformationSteps.First().Explanation;
-                    imageInfo.Add("JUST", result.PromptDetails.IdentifyingConcept);
                     imageInfo.Add("Producer", result.ImageGenerator.ToString());
                     imageInfo.Add("Initial Prompt", initialPrompt2);
                     break;
@@ -202,61 +203,62 @@ private static Dictionary<string, string> GetAnnotationDefaultData(
 
         private static void AddFullAnnotationInfo(Dictionary<string, string> imageInfo, ImageGeneratorApiType generator, PromptDetails promptDetails, string promptGeneratorName, TaskProcessResult result)
         {
-            switch (generator)
-            {
-                case ImageGeneratorApiType.Ideogram:
-                    imageInfo.Add("Generator", "Ideogram V2");
-                    var ideogramDetails = promptDetails.IdeogramDetails;
-                    if (ideogramDetails.Model != default)
-                        imageInfo.Add("Model", ideogramDetails.Model.ToString());
-                    if (ideogramDetails.AspectRatio.HasValue)
-                        imageInfo.Add("AspectRatio", IdeogramUtils.StringifyAspectRatio(ideogramDetails.AspectRatio.Value));
-                    if (ideogramDetails.StyleType.HasValue)
-                        imageInfo.Add("StyleType", ideogramDetails.StyleType.Value.ToString());
-                    if (!string.IsNullOrWhiteSpace(ideogramDetails.NegativePrompt))
-                        imageInfo.Add("NegativePrompt", ideogramDetails.NegativePrompt);
-                    break;
-                case ImageGeneratorApiType.BFLv11:
-                    var bflDetails = promptDetails.BFL11Details;
-                    imageInfo.Add("Generator", "BFL Flux 1.1");
-                    if (bflDetails.Seed.HasValue)
-                        imageInfo.Add("Seed", bflDetails.Seed.Value.ToString());
-                    if (bflDetails.Width != default && bflDetails.Height != default)
-                        imageInfo.Add("Size", $"{bflDetails.Width}x{bflDetails.Height}");
-                    if (bflDetails.SafetyTolerance != default)
-                        imageInfo.Add("SafetyTolerance", bflDetails.SafetyTolerance.ToString());
-                    break;
-                case ImageGeneratorApiType.BFLv11Ultra:
-                    var bflDetails2 = promptDetails.BFL11UltraDetails;
-                    imageInfo.Add("Generator", "BFL Flux 1.1 Ultra");
-                    if (bflDetails2.Seed.HasValue)
-                        imageInfo.Add("Seed", bflDetails2.Seed.Value.ToString());
-                    if (bflDetails2.AspectRatio != default)
-                        imageInfo.Add("AR", $"{bflDetails2.AspectRatio}");
-                    if (bflDetails2.SafetyTolerance != default)
-                        imageInfo.Add("SafetyTolerance", bflDetails2.SafetyTolerance.ToString());
-                    break;
-                case ImageGeneratorApiType.Dalle3:
-                    imageInfo.Add("Generator", "Dall-e 3");
-                    var dalle3Details = promptDetails.Dalle3Details;
-                    imageInfo.Add("Size", $"{dalle3Details.Size}");
-                    imageInfo.Add("Quality", dalle3Details.Quality.ToString());
-                    break;
-                case ImageGeneratorApiType.GptImage1:
-                    imageInfo.Add("Generator", "gpt-Image-1");
-                    var gptImageOneDetails = promptDetails.GptImageOneDetails;
-                    imageInfo.Add("Size", $"{gptImageOneDetails.size}");
-                    imageInfo.Add("Moderation", $"{gptImageOneDetails.moderation}");
-                    imageInfo.Add("Quality", $"{gptImageOneDetails.quality}");
-                    break;
-                case ImageGeneratorApiType.Recraft:
-                    imageInfo.Add("Generator", "Recraft");
-                    imageInfo.Add("Mimetype", result.ContentType);
-                    var recraftDetails = promptDetails.RecraftDetails;
-                    imageInfo.Add("Size", $"{recraftDetails.size}");
-                    imageInfo.Add("Style", recraftDetails.GetFullStyleName());
-                    break;
-            }
+            // fix this by making the appropriate direct GetLabelBitmap calls within each service.
+            //switch (generator)
+            //{
+            //    case ImageGeneratorApiType.Ideogram:
+            //        imageInfo.Add("Generator", "Ideogram V2");
+            //        var ideogramDetails = promptDetails.IdeogramDetails;
+            //        if (ideogramDetails.Model != default)
+            //            imageInfo.Add("Model", ideogramDetails.Model.ToString());
+            //        if (ideogramDetails.AspectRatio.HasValue)
+            //            imageInfo.Add("AspectRatio", IdeogramUtils.StringifyAspectRatio(ideogramDetails.AspectRatio.Value));
+            //        if (ideogramDetails.StyleType.HasValue)
+            //            imageInfo.Add("StyleType", ideogramDetails.StyleType.Value.ToString());
+            //        if (!string.IsNullOrWhiteSpace(ideogramDetails.NegativePrompt))
+            //            imageInfo.Add("NegativePrompt", ideogramDetails.NegativePrompt);
+            //        break;
+            //    case ImageGeneratorApiType.BFLv11:
+            //        var bflDetails = promptDetails.BFL11Details;
+            //        imageInfo.Add("Generator", "BFL Flux 1.1");
+            //        if (bflDetails.Seed.HasValue)
+            //            imageInfo.Add("Seed", bflDetails.Seed.Value.ToString());
+            //        if (bflDetails.Width != default && bflDetails.Height != default)
+            //            imageInfo.Add("Size", $"{bflDetails.Width}x{bflDetails.Height}");
+            //        if (bflDetails.SafetyTolerance != default)
+            //            imageInfo.Add("SafetyTolerance", bflDetails.SafetyTolerance.ToString());
+            //        break;
+            //    case ImageGeneratorApiType.BFLv11Ultra:
+            //        var bflDetails2 = promptDetails.BFL11UltraDetails;
+            //        imageInfo.Add("Generator", "BFL Flux 1.1 Ultra");
+            //        if (bflDetails2.Seed.HasValue)
+            //            imageInfo.Add("Seed", bflDetails2.Seed.Value.ToString());
+            //        if (bflDetails2.AspectRatio != default)
+            //            imageInfo.Add("AR", $"{bflDetails2.AspectRatio}");
+            //        if (bflDetails2.SafetyTolerance != default)
+            //            imageInfo.Add("SafetyTolerance", bflDetails2.SafetyTolerance.ToString());
+            //        break;
+            //    case ImageGeneratorApiType.Dalle3:
+            //        imageInfo.Add("Generator", "Dall-e 3");
+            //        var dalle3Details = promptDetails.Dalle3Details;
+            //        imageInfo.Add("Size", $"{dalle3Details.Size}");
+            //        imageInfo.Add("Quality", dalle3Details.Quality.ToString());
+            //        break;
+            //    case ImageGeneratorApiType.GptImage1:
+            //        imageInfo.Add("Generator", "gpt-Image-1");
+            //        var gptImageOneDetails = promptDetails.GptImageOneDetails;
+            //        imageInfo.Add("Size", $"{gptImageOneDetails.size}");
+            //        imageInfo.Add("Moderation", $"{gptImageOneDetails.moderation}");
+            //        imageInfo.Add("Quality", $"{gptImageOneDetails.quality}");
+            //        break;
+            //    case ImageGeneratorApiType.Recraft:
+            //        imageInfo.Add("Generator", "Recraft");
+            //        imageInfo.Add("Mimetype", result.ContentType);
+            //        var recraftDetails = promptDetails.RecraftDetails;
+            //        imageInfo.Add("Size", $"{recraftDetails.size}");
+            //        imageInfo.Add("Style", recraftDetails.GetFullStyleName());
+            //        break;
+            //}
             imageInfo.Add("Kind", promptGeneratorName);
             imageInfo.Add("Generated", DateTime.Now.ToString());
         }
diff --git a/MultiImageClient/Implementation/PromptDetails.cs b/MultiImageClient/Implementation/PromptDetails.cs
index fbd158a..99b9b57 100644
--- a/MultiImageClient/Implementation/PromptDetails.cs
+++ b/MultiImageClient/Implementation/PromptDetails.cs
@@ -1,13 +1,10 @@
-using System;
+
 using System.Collections.Generic;
-using System.Linq;
 
 using IdeogramAPIClient;
-
+using BFLAPIClient;
 using RecraftAPIClient;
 
-using SixLabors.ImageSharp;
-
 namespace MultiImageClient
 {
     /// <summary>
@@ -15,34 +12,31 @@ namespace MultiImageClient
     /// </summary>
     public class PromptDetails
     {
-        public static int NextIndex = 1;
-        public int Index { get; private set; }
-        /// This should track the "active" prompt which the next step in the process should care about.  Earlier versions are in ImageConstructionSteps. <summary>
-        /// To modify it call ReplacePrompt to also fix up history.
         public string Prompt { get; set; }
 
         /// <summary>
-        /// If a generator wants the file to have a specific filename, it should fill this in. that is, regardless of whatever happens to the prompt after the transformation, or even the initail actual prompt, just use this. For example if you are generating a deck of cards, you might just set this up to say "2 or hearts" even if your raw original prompt for even the first step is "two hearts entwined in the style of jack vance" etc. This way the resulting filenames will make sense.
+        /// These are for programmatic manipulation. For example, a user of this program first adds a concept like "fire" then maps that into 4 different variants by using an internal Claude client or something like that.
+        /// Then it'll be sent to the actual image generator (which may do more steps of its own). For now these steps are both handled by this class; the only latter type is when the remote thing say, rewrites the prompt again.
+        /// For us things to do are cool ones like: choose an aspect ratio.
         /// </summary>
-        public string IdentifyingConcept { get; set; } = "";
-
         public IList<PromptHistoryStep> TransformationSteps { get; set; } = new List<PromptHistoryStep>();
 
         /// Send these along and maybe one of the image consumers can use them to make a better image path etc.?
         /// these are effectively specs and should also contain the methods to generate subtitles, filenames etc for this type of job.
-        public BFL11Details BFL11Details { get; set; }
-        public BFL11UltraDetails BFL11UltraDetails { get; set; }
-        public RecraftDetails RecraftDetails { get; set; }
-        public IdeogramDetails IdeogramDetails { get; set; }
-        public Dalle3Details Dalle3Details { get; set; }
-        public GptImageOneDetails GptImageOneDetails { get; set; }
 
-        public PromptDetails()
-        {
-            Index = NextIndex;
-            NextIndex++;
-        }
+        /// whatever the user input stuff is from the PromptDetails, we later blow that out into actual work orders to the various services.
+        //public BFL11Details BFL11Details { get; set; }
+        //public BFL11UltraDetails BFL11UltraDetails { get; set; }
+        //public RecraftDetails RecraftDetails { get; set; }
+        //public IdeogramDetails IdeogramDetails { get; set; }
+        //public XDalle3Details Dalle3Details { get; set; }
+        //public GptImageOneDetails GptImageOneDetails { get; set; }
 
+        public PromptDetails() { }
+
+        /// <summary>
+        /// These are generally for internal prompt manipulations before we send it out anywhere. So they'll mostly be shared before going out to an actual image generator.
+        /// </summary>
         public void ReplacePrompt(string newPrompt, string explanation, TransformationType transformationType)
         {
             ReplacePrompt(newPrompt, explanation, transformationType, null);    
@@ -77,36 +71,13 @@ public string Show()
         {
             var parts = new List<string>();
 
-            if (BFL11Details != null)
-            {
-                parts.Add(BFL11Details.GetDescription());
-            }
-            if (BFL11UltraDetails != null)
-            {
-                parts.Add(BFL11UltraDetails.GetDescription());
-            }
-            if (RecraftDetails != null)
-            {
-                parts.Add(RecraftDetails.GetDescription());
-            }
-            if (IdeogramDetails != null)
-            {
-                parts.Add(IdeogramDetails.GetDescription());
-            }
-            if (Dalle3Details != null)
-            {
-                parts.Add(Dalle3Details.GetDescription());
-            }
-            if (GptImageOneDetails!= null)
-            {
-                parts.Add(GptImageOneDetails.GetDescription());
-            }
+            
             var detailsPart = string.Empty;
             if (parts.Count > 0)
             {
                 detailsPart = $" {string.Join(", ", parts)}";
             }
-            return $"Index:{Index} \'{Prompt}\' {detailsPart}";
+            return $"\'{Prompt}\' {detailsPart}";
         }
 
         public void UndoLastStep()
@@ -131,34 +102,5 @@ public void AddStep(string stepDescription, TransformationType transformationTyp
             var item = new PromptHistoryStep(Prompt, stepDescription, transformationType);
             TransformationSteps.Add(item);
         }
-
-        public PromptDetails Clone()
-        {
-            var clone = new PromptDetails
-            {
-                Prompt = Prompt,
-                IdentifyingConcept = IdentifyingConcept,
-                BFL11Details = BFL11Details != null ? new BFL11Details(BFL11Details) : null,
-                BFL11UltraDetails = BFL11UltraDetails != null ? new BFL11UltraDetails(BFL11UltraDetails) : null,
-                RecraftDetails = RecraftDetails != null ? new RecraftDetails(RecraftDetails) : null,
-                IdeogramDetails = IdeogramDetails != null ? new IdeogramDetails(IdeogramDetails) : null,
-                Dalle3Details = Dalle3Details != null ? new Dalle3Details(Dalle3Details) : null,
-                TransformationSteps = new List<PromptHistoryStep>(),
-            };
-
-            foreach (var step in TransformationSteps)
-            {
-                clone.TransformationSteps.Add(new PromptHistoryStep(step));
-            }
-
-            return clone;
-        }
-
-        //a method to make mousing over this object show the basic info on it:
-        public override string ToString()
-        {
-
-            return $"{Prompt}";
-        }
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/SaveType.cs b/MultiImageClient/Implementation/SaveType.cs
index e454eb9..7c3e36b 100644
--- a/MultiImageClient/Implementation/SaveType.cs
+++ b/MultiImageClient/Implementation/SaveType.cs
@@ -9,6 +9,6 @@ public enum SaveType
         FullAnnotation = 2,
         InitialIdea = 3,
         FinalPrompt = 4,
-        JustOverride = 5, // when w generate the prompt sometimes we just have a core word/phrase called the "IdentifyingConcept" which we want to make visible in both the filename and in this version with the subtitle for illustrative purposes. If you get one of these then just draw the text large, centered, in a nice font, with no other junk.
+        JustOverride = 5, // when w generate the prompt sometimes we just have a core word/phrase called the which we want to make visible in both the filename and in this version with the subtitle for illustrative purposes. If you get one of these then just draw the text large, centered, in a nice font, with no other junk.
     }
 }
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index c9fb263..5708aa8 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -4,12 +4,7 @@
 using System.Linq;
 using System.Net.Http;
 using System.Threading.Tasks;
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-using System.Reflection;
-using System.Timers;
-using System.Text;
-using System.Windows.Forms;
+
 using SixLabors.ImageSharp;
 using SixLabors.ImageSharp.PixelFormats;
 using IdeogramAPIClient;
diff --git a/MultiImageClient/Implementation/WorkflowContext.cs b/MultiImageClient/Implementation/WorkflowContext.cs
deleted file mode 100644
index 3d13dde..0000000
--- a/MultiImageClient/Implementation/WorkflowContext.cs
+++ /dev/null
@@ -1,15 +0,0 @@
-using MultiImageClient;
-
-public class WorkflowContext
-{
-    public Settings Settings { get; }
-    public MultiClientRunStats Stats { get; }
-    public ImageManager ImageManager { get; }
-
-    public WorkflowContext(Settings settings, MultiClientRunStats stats, ImageManager imageManager)
-    {
-        Settings = settings;
-        Stats = stats;
-        ImageManager = imageManager;
-    }
-}
\ No newline at end of file
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 216f08d..7cbb34b 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -1,76 +1,119 @@
-using System;
-using System.Net.Http;
-using System.Threading.Tasks;
-using System.Collections.Generic;
+using MultiImageClient;
+using IdeogramAPIClient;
 using Newtonsoft.Json;
-using System.IO;
 
-using MultiImageClient.promptGenerators;
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
 using System.Reflection.Emit;
+using System.Runtime;
+using System.Threading.Tasks;
+
 using static MultiImageClient.Program;
 
 
 namespace MultiImageClient
-{   
+{
     /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
     public class Program
     {
-        private static BFLService _BFLService;
-        private static IdeogramService _IdeogramService;
-        private static Dalle3Service _Dalle3Service;
-        private static GptImageOneService _GptImageOneService;
-        private static RecraftService _RecraftService;
-        private static ClaudeService _ClaudeService;
- 
-        private static void InitializeServices(Settings settings, int concurrency)
-        {
-            _BFLService = new BFLService(settings.BFLApiKey, concurrency);
-            _IdeogramService = new IdeogramService(settings.IdeogramApiKey, concurrency);
-            _Dalle3Service = new Dalle3Service(settings.OpenAIApiKey, concurrency);
-            _GptImageOneService = new GptImageOneService(settings.OpenAIApiKey, concurrency);
-            _RecraftService = new RecraftService(settings.RecraftApiKey, concurrency);
-            _ClaudeService = new ClaudeService(settings.AnthropicApiKey, concurrency);
-        }
+        
+        private static ClaudeService _ClaudeService { get; set; }
 
-        private static IWorkflow CreateWorkflow(GeneralActionType actionType, WorkflowContext context, AbstractPromptGenerator abstractPromptGenerator, Settings settings){
-            
-            var generators = new List<IImageGenerator>
-            {
-                new BFLGenerator(_BFLService, ImageGeneratorApiType.BFLv11),
-                new BFLGenerator(_BFLService, ImageGeneratorApiType.BFLv11Ultra),
-                new IdeogramGenerator(_IdeogramService, ImageGeneratorApiType.Ideogram),
-                new Dalle3Generator(_Dalle3Service, ImageGeneratorApiType.Dalle3),
-                new GptImageOneGenerator(_GptImageOneService, ImageGeneratorApiType.GptImage1),
-                new RecraftGenerator(_RecraftService, ImageGeneratorApiType.Recraft),
-            };
-            return actionType switch
-            {
-                GeneralActionType.PromptToImageWithSteps =>
-                   new PromptToImageWithStepsWorkflow(context, generators, abstractPromptGenerator, settings),
-                GeneralActionType.SamePromptMultipleTargets =>
-                    new SamePromptMultipleTargetsWorkflow(context, generators, abstractPromptGenerator, settings),
-
-                GeneralActionType.ImageToTextToImageWithSteps => throw new NotImplementedException(),
-                _ => throw new NotImplementedException("Unknown workflow")
-            };
-        }
+        
 
         static async Task Main(string[] args)
         {
             var settingsFilePath = "settings.json";
             var settings = Settings.LoadFromFile(settingsFilePath);
             var concurrency = 1;
+            var stats = new MultiClientRunStats();
+
+            var promptSource = new ReadAllPromptsFromFile(settings, "");
+            var steps = new List<ITransformationStep>();
+
+
+            /// ------------------- MAKING SERVICES ----------------------------
             
-            InitializeServices(settings, concurrency);
+            var dalle3 = new Dalle3Generator(settings.OpenAIApiKey, concurrency, stats);
+            var recraft = new RecraftGenerator(settings.RecraftApiKey, concurrency, stats);
+            var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, stats, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN);
+            var ideogram2 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, stats, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN);
+            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, settings.BFLApiKey, concurrency, stats, false, "1:1", false, 1024, 1024);
+            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, stats, false, "1:1", false, 2048, 1768);
+
+            var myGenerators = new List<IImageGenerator>() { dalle3, recraft, ideogram1, ideogram2, bfl1, bfl2};
+            var imageManager = new ImageManager(settings, stats);
+
+            /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
+
+
+            var allTasks = new List<Task>();
 
-            GeneralActionType gat = GeneralActionType.SamePromptMultipleTargets;
-            gat = GeneralActionType.PromptToImageWithSteps;
-            var abstractPromptGenerator = new LoadFromFile(settings, "");
+            foreach (var promptString in promptSource.Prompts)
+            {
+                Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
+
+                foreach (var step in steps)
+                {
+                    var res = await step.DoTransformation(promptString);
+                    if (!res)
+                    {
+                        Logger.Log($"\tStep {step.Name} failed: {promptString.Show()}");
+                        continue;
+                    }
+                    Logger.Log($"\tStep:{step.Name} => {promptString.Show()}");
+                }
+
+                // Create tasks for all generators for this prompt
+                var generatorTasks = myGenerators.Select(async generator =>
+                {
+                    try
+                    {
+                        var result = await generator.ProcessPromptAsync(promptString);
+                        await imageManager.ProcessAndSaveAsync(result, generator);
+                        Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
+                        return result;
+                    }
+                    catch (Exception ex)
+                    {
+                        Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
+                        throw;
+                    }
+                }).ToList();
+
+                allTasks.AddRange(generatorTasks);
+                stats.PrintStats();
+                Console.WriteLine($"Kicked off {generatorTasks.Count} tasks for prompt.");
+            }
 
-            var im = new ImageManager(settings);
-            var workflowContext = new WorkflowContext(settings, new MultiClientRunStats(), im);
-            var workflow = CreateWorkflow(gat, workflowContext, abstractPromptGenerator, settings);
-            await workflow.RunAsync();
+            // Wait for all tasks
+            while (allTasks.Any(t => !t.IsCompleted))
+            {
+                var completed = allTasks.Count(t => t.IsCompleted);
+                var remaining = allTasks.Count - completed;
+                Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining...");
+                await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
+            }
         }
+
+        //private static void OnFinished(Task<TaskProcessResult> task, object arg2)
+        //{
+        //    if (task.IsFaulted)
+        //    {
+        //        Logger.Log($"Task faulted: {task.Exception?.Flatten().InnerException}");
+        //        return;
+        //    }
+        //    if (task.IsCanceled)
+        //    {
+        //        Logger.Log("Task was canceled.");
+        //        return;
+        //    }
+
+        //    var res = task.Result;
+        //    Logger.Log($"Finished in {res.CreateTotalMs + res.DownloadTotalMs} ms, {res.PromptDetails.Show()}");
+        //}
     }
 }
diff --git a/MultiImageClient/PromptToImageWithStepsWorkflow.cs b/MultiImageClient/PromptToImageWithStepsWorkflow.cs
deleted file mode 100644
index d2fcbfa..0000000
--- a/MultiImageClient/PromptToImageWithStepsWorkflow.cs
+++ /dev/null
@@ -1,98 +0,0 @@
-using MultiImageClient.promptGenerators;
-
-using System;
-using System.Collections.Generic;
-using System.Diagnostics;
-using System.Linq;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class PromptToImageWithStepsWorkflow : IWorkflow
-    {
-        private readonly WorkflowContext _workflowContext;
-        private readonly IEnumerable<IImageGenerator> _generators;
-        private readonly AbstractPromptGenerator _abstractPromptGenerator;
-        private readonly Settings _settings;
-
-        public PromptToImageWithStepsWorkflow(
-            WorkflowContext workflowContext,
-            IEnumerable<IImageGenerator> generators,
-            AbstractPromptGenerator abstractPromptGenerator,
-            Settings settings)
-        {
-            _workflowContext = workflowContext;
-            _generators = generators;
-            _abstractPromptGenerator = abstractPromptGenerator;
-            _settings = settings;
-        }
-        public async Task RunAsync()
-        {
-            var basePromptGenerator = new LoadFromFile(_workflowContext.Settings, "");
-            var steps = new List<ITransformationStep>();
-            var stats = new MultiClientRunStats();
-
-            var allTasks = new List<Task>();
-
-            foreach (var promptDetails in basePromptGenerator.Run())
-            {
-                Logger.Log($"\n--- Processing prompt: {promptDetails.Index}");
-
-                foreach (var step in steps)
-                {
-                    var res = await step.DoTransformation(promptDetails, stats);
-                    if (!res)
-                    {
-                        Logger.Log($"\tStep {step.Name} failed: {promptDetails.Show()}");
-                        continue;
-                    }
-                    Logger.Log($"\tStep:{step.Name} => {promptDetails.Show()}");
-                }
-
-
-                var tasks = _generators.Select(async generator =>
-                {
-                    var theCopy = promptDetails.Clone();
-                    TaskProcessResult result = await generator.ProcessPromptAsync(theCopy, stats);
-                    await _workflowContext.ImageManager.ProcessAndSaveAsync(result, basePromptGenerator, stats);
-                    return result;
-                }).ToList();
-
-                foreach (var t in tasks)
-                {
-                    await t.ContinueWith(OnFinished, TaskScheduler.Default);
-                }
-
-                allTasks.AddRange(tasks);
-                stats.PrintStats();
-                Console.WriteLine($"kicked off task.");
-            }
-
-            while (allTasks.Any(t => !t.IsCompleted))
-            {
-                var completed = allTasks.Count(t => t.IsCompleted);
-                var remaining = allTasks.Count - completed;
-                Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining …");
-                await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
-            }
-        }
-        private void OnFinished(Task<TaskProcessResult> task)
-        {
-
-            if (task.IsFaulted)
-            {
-                Logger.Log($"Task faulted: {task.Exception?.Flatten().InnerException}");
-                return;
-            }
-            if (task.IsCanceled)
-            {
-                Logger.Log("Task was canceled.");
-                return;
-            }
-
-            var res = task.Result;   
-            Logger.Log($"Finished in {res.CreateTotalMs + res.DownloadTotalMs} ms, {res.PromptDetails.Show()}");
-        }
-    }
-}
\ No newline at end of file
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
index 4b3c337..4d38891 100644
--- a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
+++ b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
@@ -9,41 +9,75 @@ namespace MultiImageClient
 {
     public class SamePromptMultipleTargetsWorkflow : IWorkflow
     {
-        private readonly WorkflowContext _workflowContext;
-        private readonly IEnumerable<IImageGenerator> _generators;
-        private readonly AbstractPromptGenerator _abstractPromptGenerator;
+        private readonly Dictionary<ImageGeneratorApiType, IImageGenerator> _generators;
+        private readonly AbstractPromptSource _abstractPromptSource;
         private readonly Settings _settings;
+        private readonly ImageManager _imageManager;
+        private readonly MultiClientRunStats _stats;
 
         public SamePromptMultipleTargetsWorkflow(
-            WorkflowContext workflowContext,
-            IEnumerable<IImageGenerator> generators,
-            AbstractPromptGenerator abstractPromptGenerator,
-            Settings settings)
+            Dictionary<ImageGeneratorApiType, IImageGenerator> generators,
+            AbstractPromptSource abstractPromptSource,
+            Settings settings, MultiClientRunStats stats)
         {
-            _workflowContext = workflowContext;
             _generators = generators;
-            _abstractPromptGenerator = abstractPromptGenerator;
+            _abstractPromptSource = abstractPromptSource;
             _settings = settings;
+            _stats = stats;
         }
 
         public async Task RunAsync()
         {
             var stats = new MultiClientRunStats();
-            foreach (var promptDetails in _abstractPromptGenerator.Run())
+            foreach (var promptDetails in _abstractPromptSource.Prompts)
             {
-                // Process all generators asynchronously
-                var tasks = _generators.Select(async generator =>
+                var tasks = new List<Task<TaskProcessResult>>();
+                foreach (var kvp in _generators)
                 {
-                    var theCopy = promptDetails.Clone();
-                    var result = await generator.ProcessPromptAsync(theCopy, stats);
-                    await _workflowContext.ImageManager.ProcessAndSaveAsync(result, _abstractPromptGenerator, stats);
-                }).ToList();
+                    var nam = kvp.Key;
+                    var generator = kvp.Value;
+                    //var theCopy = promptDetails.Clone();
+                    TaskProcessResult result = await kvp.Value.ProcessPromptAsync(promptDetails);
+                    await _imageManager.ProcessAndSaveAsync(result, generator);
+                    tasks.Add(Task.FromResult(result));
+                }
+
+                foreach (var t in tasks)
+                {
+                    await t.ContinueWith(OnFinished, TaskScheduler.Default);
+                }
+
+                //// Process all generators asynchronously
+                //var tasks = _generators.Select(async generator =>
+                //{
+                //    var theCopy = promptDetails.Clone();
+                //    var result = await generator.ProcessPromptAsync(theCopy, stats);
+                //    await _workflowContext.ImageManager.ProcessAndSaveAsync(result, _abstractPromptSource, stats);
+                //}).ToList();
                 
                 await Task.WhenAll(tasks);
 
                 var combiner = new ImageCombiner();
-                //combiner.SaveMultipleImagesWithSubtitle(tasks, _settings, promptDetails.Prompt);
+                //combiner.Save(tasks, _settings, promptDetails.Prompt);
+            }
+        }
+
+        private void OnFinished(Task<TaskProcessResult> task)
+        {
+
+            if (task.IsFaulted)
+            {
+                Logger.Log($"Task faulted: {task.Exception?.Flatten().InnerException}");
+                return;
             }
+            if (task.IsCanceled)
+            {
+                Logger.Log("Task was canceled.");
+                return;
+            }
+
+            var res = task.Result;
+            Logger.Log($"Finished in {res.CreateTotalMs + res.DownloadTotalMs} ms, {res.PromptDetails.Show()}");
         }
     }
 }
diff --git a/MultiImageClient/Services/BFLService.cs b/MultiImageClient/Services/BFLGenerator.cs
similarity index 55%
rename from MultiImageClient/Services/BFLService.cs
rename to MultiImageClient/Services/BFLGenerator.cs
index 3ecaabb..d18a32e 100644
--- a/MultiImageClient/Services/BFLService.cs
+++ b/MultiImageClient/Services/BFLGenerator.cs
@@ -1,127 +1,161 @@
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-
-using System;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class BFLService : IImageGenerationService
-    {
-        private SemaphoreSlim _bflSemaphore;
-        private BFLClient _bflClient;
-        private HttpClient _httpClient;
-
-
-        public BFLService(string apiKey, int maxConcurrency)
-        {
-            _bflClient = new BFLClient(apiKey);
-            _bflSemaphore = new SemaphoreSlim(maxConcurrency);
-            _httpClient = new HttpClient();
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
-        {
-            await _bflSemaphore.WaitAsync();
-            
-            ImageGeneratorApiType genType;
-            try
-            {
-                GenerationResponse generationResponse = null;
-                if (promptDetails.BFL11UltraDetails != null)
-                {
-                    genType = ImageGeneratorApiType.BFLv11Ultra;
-                    var request2 = new FluxPro11UltraRequest
-                    {
-                        Prompt = promptDetails.Prompt,
-                        AspectRatio = "1:1",
-                        //Width = 2048,
-                        //Height = 2048,
-                        PromptUpsampling = promptDetails.BFL11UltraDetails.PromptUpsampling,
-                        SafetyTolerance = promptDetails.BFL11UltraDetails.SafetyTolerance,
-                        Seed = promptDetails.BFL11UltraDetails.Seed
-
-                    };
-                    generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request2);
-                }
-                else
-                {
-                    genType = ImageGeneratorApiType.BFLv11;
-                    var request = new FluxPro11Request
-                    {
-                        Prompt = promptDetails.Prompt,
-                        Width = promptDetails.BFL11Details.Width,
-                        Height = promptDetails.BFL11Details.Height,
-                        PromptUpsampling = promptDetails.BFL11Details.PromptUpsampling,
-                        SafetyTolerance = promptDetails.BFL11Details.SafetyTolerance,
-                        Seed = promptDetails.BFL11Details.Seed
-                    };
-
-                    generationResponse = await _bflClient.GenerateFluxPro11Async(request);
-                }
-                    //var bflDetails = promptDetails.BFL11Details;
-                    
-                stats.BFLImageGenerationRequestCount++;
-
-                
-                Logger.Log($"{promptDetails.Index} From BFL: '{generationResponse.Status}'");
-
-                // this is where we handle generator-specific error types.
-                if (generationResponse.Status != "Ready")
-                {
-                    var baseResponse = new TaskProcessResult { IsSuccess = false, PromptDetails = promptDetails, ImageGenerator = genType, ErrorMessage = generationResponse.Status };
-                    if (generationResponse.Status == "Content Moderated")
-                    {
-                        stats.BFLImageGenerationErrorCount++;
-                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.ContentModerated;
-                        return baseResponse;
-                    }
-                    else if (generationResponse.Status == "Request Moderated")
-                    {
-                        stats.BFLImageGenerationErrorCount++;
-                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated;
-                        return baseResponse;
-
-                    }
-                    else
-                    {
-                        // also you have to handle the out of money case.
-                        stats.BFLImageGenerationErrorCount++;
-                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.Unknown;
-                        return baseResponse;
-                    }
-                        
-                }
-                else
-                {
-                    Logger.Log($"{promptDetails.Index} BFL image generated: {generationResponse.Result.Sample}");
-                    stats.BFLImageGenerationRequestCount++;
-                    var returnedPrompt = generationResponse.Result.Prompt.Trim();
-                    if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
-                    {
-                        //BFL replaced the prompt. It actually happens!
-                        promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
-                    }
-
-                    var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, generationResponse.Result.Sample));
-                    var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-                    return new TaskProcessResult { IsSuccess = true, Url = generationResponse.Result.Sample, ContentType = contentType, PromptDetails = promptDetails, ImageGenerator = genType };
-                }
-
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"{promptDetails.Index} BFL error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFLv11 };
-            }
-            finally
-            {
-                _bflSemaphore.Release();
-            }
-        }
-    }
+using BFLAPIClient;
+
+using IdeogramAPIClient;
+
+using MultiImageClient;
+
+using System;
+using System.Drawing;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class BFLGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _bflSemaphore;
+        private BFLClient _bflClient;
+        private HttpClient _httpClient;
+        private MultiClientRunStats _stats;
+        private string _aspectRatio = "1:1";
+        private bool _promptUpsampling = false;
+        private int _width { get; set; }
+        private int _height { get; set; }
+        private ImageGeneratorApiType _apiType { get; }
+
+        public BFLGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency, MultiClientRunStats stats, bool useUltra, string aspectRatio, bool promptUpscaling, int width, int height)
+        {
+            _apiType = apiType;
+            _bflClient = new BFLClient(apiKey);
+            _bflSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
+            _stats = stats;
+            _aspectRatio = aspectRatio;
+            _promptUpsampling = promptUpscaling;
+            _width = width;
+            _height = height;
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        {
+            await _bflSemaphore.WaitAsync();
+
+            try
+            {
+                GenerationResponse generationResponse = null;
+                if (_apiType == ImageGeneratorApiType.BFLv11)
+                {
+                    var request = new FluxPro11Request
+                    {
+                        Prompt = promptDetails.Prompt,
+                        Width = _width,
+                        Height = _height,
+                        PromptUpsampling = _promptUpsampling,
+                        SafetyTolerance = 6
+                    };
+
+                    generationResponse = await _bflClient.GenerateFluxPro11Async(request); 
+                }
+                else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
+                {
+                    var request2 = new FluxPro11UltraRequest
+                    {
+                        Prompt = promptDetails.Prompt,
+                        AspectRatio = _aspectRatio,
+                        PromptUpsampling = _promptUpsampling,
+                        SafetyTolerance = 6
+                    };
+                    generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request2);
+                }
+                else
+                {
+                    Console.WriteLine("error.");
+                }
+
+
+                _stats.BFLImageGenerationRequestCount++;
+
+                Logger.Log($"{promptDetails} From BFL: '{generationResponse.Status}'");
+
+                // this is where we handle generator-specific error types.
+                if (generationResponse.Status != "Ready")
+                {
+                    var baseResponse = new TaskProcessResult { IsSuccess = false, PromptDetails = promptDetails, ImageGenerator = _apiType, ErrorMessage = generationResponse.Status };
+                    if (generationResponse.Status == "Content Moderated")
+                    {
+                        _stats.BFLImageGenerationErrorCount++;
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.ContentModerated;
+                        return baseResponse;
+                    }
+                    else if (generationResponse.Status == "Request Moderated")
+                    {
+                        _stats.BFLImageGenerationErrorCount++;
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated;
+                        return baseResponse;
+
+                    }
+                    else
+                    {
+                        // also you have to handle the out of money case.
+                        _stats.BFLImageGenerationErrorCount++;
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.Unknown;
+                        return baseResponse;
+                    }
+
+                }
+                else
+                {
+                    Logger.Log($"{promptDetails} BFL image generated: {generationResponse.Result.Sample}");
+                    _stats.BFLImageGenerationRequestCount++;
+                    var returnedPrompt = generationResponse.Result.Prompt.Trim();
+                    if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
+                    {
+                        //BFL replaced the prompt. It actually happens!
+                        promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
+                    }
+
+                    var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, generationResponse.Result.Sample));
+                    var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+                    return new TaskProcessResult { IsSuccess = true, Url = generationResponse.Result.Sample, ContentType = contentType, PromptDetails = promptDetails, ImageGenerator = _apiType };
+                }
+
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"{promptDetails} BFL error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFLv11 };
+            }
+            finally
+            {
+                _bflSemaphore.Release();
+            }
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"";
+            if (_apiType == ImageGeneratorApiType.BFLv11)
+            {
+                var ups = _promptUpsampling ? "_up" : "";
+                res = $"{res} {_height}x{_width}{ups}";
+            }
+            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
+            {
+                var ups = _promptUpsampling ? "_up" : "";
+                res = $"{_aspectRatio}{ups}";
+            }
+            else
+            {
+                throw new Exception("X");
+            }
+                
+            return res;
+        }
+
+        public Bitmap GetLabelBitmap(int width)
+        {
+            throw new NotImplementedException();
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/ClaudeService.cs b/MultiImageClient/Services/ClaudeService.cs
index da605d7..72a08c2 100644
--- a/MultiImageClient/Services/ClaudeService.cs
+++ b/MultiImageClient/Services/ClaudeService.cs
@@ -16,12 +16,14 @@ public class ClaudeService
     {
         private readonly AnthropicClient _anthropicClient;
         private readonly SemaphoreSlim _claudeSemaphore;
+        private MultiClientRunStats stats;
 
-        public ClaudeService(string apiKey, int maxConcurrency)
+        public ClaudeService(string apiKey, int maxConcurrency, MultiClientRunStats stats)
         {
             var anthropicApikeyAuth = new APIAuthentication(apiKey);
             _anthropicClient = new AnthropicClient(anthropicApikeyAuth);
             _claudeSemaphore = new SemaphoreSlim(maxConcurrency);
+            this.stats = stats;
         }
 
         ///Claude gets mad sometimes. This is for detecting this and optionally derailing since you probably don't want to continue with this bad rewrite output.
@@ -54,7 +56,7 @@ internal static bool DidClaudeRefuse(string claudeResponse)
         }
 
 
-        public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDetails, MultiClientRunStats stats, decimal temp)
+        public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDetails, decimal temp)
         {
             if (ClaudeWillHateThis(promptDetails.Prompt))
             {
diff --git a/MultiImageClient/Services/Dalle3Service.cs b/MultiImageClient/Services/Dalle3Generator.cs
similarity index 58%
rename from MultiImageClient/Services/Dalle3Service.cs
rename to MultiImageClient/Services/Dalle3Generator.cs
index 8dfa166..1a5f80f 100644
--- a/MultiImageClient/Services/Dalle3Service.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -1,72 +1,90 @@
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-
-using OpenAI;
-using OpenAI.Images;
-using OpenAI.Models;
-
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Net.Http;
-using System.Reflection;
-
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-
-    public class Dalle3Service : IImageGenerationService
-    {
-        private SemaphoreSlim _dalle3Semaphore;
-        private ImageClient _openAIImageClient;
-
-        public Dalle3Service(string apiKey, int maxConcurrency)
-        {
-            var openAIClient = new OpenAIClient(apiKey);
-            _openAIImageClient = openAIClient.GetImageClient("dall-e-3");
-            _dalle3Semaphore = new SemaphoreSlim(maxConcurrency);
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
-        {
-            await _dalle3Semaphore.WaitAsync();
-            try
-            {
-                stats.Dalle3RequestCount++;
-                var genOptions = new ImageGenerationOptions();
-                genOptions.Size = promptDetails.Dalle3Details.Size;
-                genOptions.Quality = promptDetails.Dalle3Details.Quality;
-                genOptions.ResponseFormat = promptDetails.Dalle3Details.Format;
-                var res = _openAIImageClient.GenerateImageAsync(promptDetails.Prompt, genOptions);
-                var uri = res.Result.Value.ImageUri;
-                var revisedPrompt = res.Result.Value.RevisedPrompt;
-                if (revisedPrompt != promptDetails.Prompt)
-                {
-                    //BFL replaced the prompt.
-                    promptDetails.ReplacePrompt(revisedPrompt, revisedPrompt, TransformationType.Dalle3Rewrite);
-                }
-                return new TaskProcessResult { IsSuccess = true, Url = uri.ToString(), ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
-            }
-            catch (Exception ex)
-            {
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
-            }
-            finally
-            {
-                _dalle3Semaphore.Release();
-            }
-
-        }
-
-    }
+using Anthropic.SDK;
+using Anthropic.SDK.Constants;
+using Anthropic.SDK.Messaging;
+
+using BFLAPIClient;
+
+using IdeogramAPIClient;
+
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+
+using OpenAI;
+using OpenAI.Images;
+using OpenAI.Models;
+
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.IO;
+using System.Net.Http;
+using System.Reflection;
+
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+
+    public class Dalle3Generator : IImageGenerator
+    {
+        private SemaphoreSlim _dalle3Semaphore;
+        private ImageClient _openAIImageClient;
+        private MultiClientRunStats _stats;
+
+        public Dalle3Generator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
+        {
+            var openAIClient = new OpenAIClient(apiKey);
+            _openAIImageClient = openAIClient.GetImageClient("dall-e-3");
+            _dalle3Semaphore = new SemaphoreSlim(maxConcurrency);
+            _stats = stats;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"";
+            return res;
+        }
+
+        public Bitmap GetLabelBitmap(int width)
+        {
+            throw new NotImplementedException();
+        }
+
+        /// it's rather annoying that we still have to send in the original pd. we do that because here is where we notice things like "de3 modified or banned the text, etc."
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        {
+            await _dalle3Semaphore.WaitAsync();
+            try
+            {
+                _stats.Dalle3RequestCount++;
+                //det.Size = GeneratedImageSize.W1024xH1024;
+
+                var det = new ImageGenerationOptions()
+                {
+                    Quality = GeneratedImageQuality.High,
+                    Size = GeneratedImageSize.W1024xH1024
+                };
+
+                var res = await _openAIImageClient.GenerateImageAsync(promptDetails.Prompt, det);
+                var uri = res.Value.ImageUri;
+                var revisedPrompt = res.Value.RevisedPrompt;
+                if (revisedPrompt != promptDetails.Prompt)
+                {
+                    promptDetails.ReplacePrompt(revisedPrompt, revisedPrompt, TransformationType.Dalle3Rewrite);
+                }
+                return new TaskProcessResult { IsSuccess = true, Url = uri.ToString(), ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
+            }
+            catch (Exception ex)
+            {
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
+            }
+            finally
+            {
+                _dalle3Semaphore.Release();
+            }
+
+        }
+
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/GptImageOneService.cs b/MultiImageClient/Services/GptImageOneGenerator.cs
similarity index 67%
rename from MultiImageClient/Services/GptImageOneService.cs
rename to MultiImageClient/Services/GptImageOneGenerator.cs
index 34c336f..d6eb9dd 100644
--- a/MultiImageClient/Services/GptImageOneService.cs
+++ b/MultiImageClient/Services/GptImageOneGenerator.cs
@@ -1,126 +1,111 @@
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-
-using OpenAI;
-using OpenAI.Assistants;
-using OpenAI.Images;
-using OpenAI.Models;
-
-using System;
-using System.ClientModel;
-using System.Collections.Generic;
-using System.IO;
-using System.Net.Http;
-using System.Net.Http.Headers;
-using System.Reflection;
-
-using System.Threading;
-using System.Threading.Tasks;
-using System;
-using System.IO;
-using System.Net.Http;
-using System.Net.Http.Headers;
-using System.Text;
-using System.Text.Json;
-using System.Threading.Tasks;
-using System.Diagnostics;
-
-namespace MultiImageClient
-{
-    public class GptImageOneOptions
-    {
-        public string Prompt { get; set; }
-        public int? N { get; set; }
-        public string Model { get; set; }
-    }
-
-    public class GptImageOneService : IImageGenerationService
-    {
-        private SemaphoreSlim _gptImageOneSemaphore;
-        static readonly HttpClient http = new HttpClient();
-
-        public GptImageOneService(string apiKey, int maxConcurrency)
-        {
-            //var openAIClient = new OpenAIClient(apiKey);
-            //_openAIImageClient = openAIClient.GetImageClient("gpt-image-1");
-            _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
-            http.DefaultRequestHeaders.Authorization =
-                new AuthenticationHeaderValue("Bearer", apiKey);
-        }
-
-
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
-        {
-            await _gptImageOneSemaphore.WaitAsync();
-            var sw = Stopwatch.StartNew();
-            try
-            {
-                stats.GptImageOneRequestCount++;
-                var genOptions = new ImageGenerationOptions();
-                genOptions.Quality = promptDetails.GptImageOneDetails.quality;
-
-                var body = new
-                {
-                    model = "gpt-image-1",
-                    prompt = promptDetails.Prompt,
-                    moderation = "low",
-                    quality = "high",
-                    //response_format = "png",
-
-                    n = 1,
-                    //size = "1024x1024"
-                    size = "auto",
-                };
-
-                using var content = new StringContent(
-                    System.Text.Json.JsonSerializer.Serialize(body),
-                    Encoding.UTF8,
-                    "application/json");
-
-                using var resp = await http.PostAsync(
-                    "https://api.openai.com/v1/images/generations",
-                    content);
-
-                if (!resp.IsSuccessStatusCode)
-                {
-                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
-                }
-                resp.EnsureSuccessStatusCode();
-
-                var json = await resp.Content.ReadAsStringAsync();
-                //await File.WriteAllTextAsync("response.json", json);
-                using var doc = JsonDocument.Parse(json);
-                var qq = doc.RootElement.GetProperty("data");
-                var ll = qq.GetArrayLength();
-                var b64s = new List<string>();
-                foreach (var el in qq.EnumerateArray())
-                {
-                    var b64 = el.GetProperty("b64_json").GetString();
-                    b64s.Add(b64);  
-                }
-
-
-                Console.WriteLine($"Generated:{promptDetails.Prompt}");
-                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s,  Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
-            }
-            catch (Exception ex)
-            {
-                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
-            }
-            finally
-            {
-                _gptImageOneSemaphore.Release();
-            }
-        }
-    }
+
+using OpenAI.Images;
+
+using System;
+using System.ClientModel;
+using System.Collections.Generic;
+
+using System.Net.Http;
+using System.Net.Http.Headers;
+using System.Reflection;
+
+using System.Threading;
+using System.Threading.Tasks;
+using System.Text;
+using System.Text.Json;
+using System.Diagnostics;
+using System.Drawing;
+
+namespace MultiImageClient
+{
+    public class GptImageOneGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _gptImageOneSemaphore;
+        static readonly HttpClient http = new HttpClient();
+        private MultiClientRunStats _stats;
+
+        public GptImageOneGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
+        {
+            _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
+            _stats = stats;
+            http.DefaultRequestHeaders.Authorization =
+                new AuthenticationHeaderValue("Bearer", apiKey);
+        }
+
+
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"";
+            return res;
+        }
+
+        public Bitmap GetLabelBitmap(int width)
+        {
+            throw new NotImplementedException();
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        {
+            await _gptImageOneSemaphore.WaitAsync();
+            var sw = Stopwatch.StartNew();
+            try
+            {
+                _stats.GptImageOneRequestCount++;
+                var genOptions = new ImageGenerationOptions();
+                genOptions.Quality = "high";
+
+                var body = new
+                {
+                    model = "gpt-image-1",
+                    prompt = promptDetails.Prompt,
+                    moderation = "low",
+                    quality = "high",
+                    n = 1,
+                    size = "auto",
+                };
+
+                using var content = new StringContent(
+                    System.Text.Json.JsonSerializer.Serialize(body),
+                    Encoding.UTF8,
+                    "application/json");
+
+                using var resp = await http.PostAsync(
+                    "https://api.openai.com/v1/images/generations",
+                    content);
+
+                if (!resp.IsSuccessStatusCode)
+                {
+                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
+                }
+                resp.EnsureSuccessStatusCode();
+
+                var json = await resp.Content.ReadAsStringAsync();
+                //await File.WriteAllTextAsync("response.json", json);
+                using var doc = JsonDocument.Parse(json);
+                var qq = doc.RootElement.GetProperty("data");
+                var ll = qq.GetArrayLength();
+                var b64s = new List<string>();
+                foreach (var el in qq.EnumerateArray())
+                {
+                    var b64 = el.GetProperty("b64_json").GetString();
+                    b64s.Add(b64);
+                }
+
+
+                Console.WriteLine($"Generated:{promptDetails.Prompt}");
+                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s, Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+            }
+            finally
+            {
+                _gptImageOneSemaphore.Release();
+            }
+        }
+
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/IdeogramService.cs b/MultiImageClient/Services/IdeogramGenerator.cs
similarity index 66%
rename from MultiImageClient/Services/IdeogramService.cs
rename to MultiImageClient/Services/IdeogramGenerator.cs
index 57e97ff..35e984c 100644
--- a/MultiImageClient/Services/IdeogramService.cs
+++ b/MultiImageClient/Services/IdeogramGenerator.cs
@@ -1,80 +1,98 @@
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class IdeogramService : IImageGenerationService
-    {
-        private SemaphoreSlim _ideogramSemaphore;
-        private IdeogramClient _ideogramClient;
-        private HttpClient _httpClient = new HttpClient();
-
-        public IdeogramService(string apiKey, int maxConcurrency)
-        {
-            _ideogramClient = new IdeogramClient(apiKey);
-            _ideogramSemaphore = new SemaphoreSlim(maxConcurrency);
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
-        {
-            await _ideogramSemaphore.WaitAsync();
-            try
-            {
-                var ideogramDetails = promptDetails.IdeogramDetails;
-                var request = new IdeogramGenerateRequest(promptDetails.Prompt, ideogramDetails);
-
-                stats.IdeogramRequestCount++;
-                GenerateResponse response = await _ideogramClient.GenerateImageAsync(request);
-                if (response?.Data?.Count == 1)
-                {
-                    foreach (var imageObject in response.Data)
-                    {
-                        //there is only actually one ever.
-                        var returnedPrompt = imageObject.Prompt;
-                        if (returnedPrompt != promptDetails.Prompt)
-                        {
-                            //Ideogram replaced the prompt.
-                            promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.IdeogramRewrite);
-                        }
-                        var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, imageObject.Url));
-                        var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-                        return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram };
-                    }
-                    throw new Exception("No images returned");
-                }
-                else if (response?.Data?.Count >= 1)
-                {
-                    throw new Exception("Multiple images returned? I can't handle this! Who knew!");
-                }
-                else
-                {
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = "No images generated", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated };
-                }
-            }
-
-            catch (Exception ex)
-            {
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
-            }
-            finally
-            {
-                _ideogramSemaphore.Release();
-            }
-        }
-    }
+using IdeogramAPIClient;
+
+using System;
+using System.Drawing;
+using System.Drawing.Drawing2D;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class IdeogramGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _ideogramSemaphore;
+        private IdeogramClient _ideogramClient;
+        private HttpClient _httpClient = new HttpClient();
+        private MultiClientRunStats _stats;
+        private IdeogramMagicPromptOption _magicPrompt;
+        private IdeogramAspectRatio _aspectRatio;
+        private IdeogramStyleType _ideoGramStyleType;
+
+        public IdeogramGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats, IdeogramMagicPromptOption magicPrompt, IdeogramAspectRatio aspectRatio, IdeogramStyleType styleType)
+        {
+            _ideogramClient = new IdeogramClient(apiKey);
+            _ideogramSemaphore = new SemaphoreSlim(maxConcurrency);
+            _magicPrompt = magicPrompt;
+            _aspectRatio = aspectRatio;
+            _ideoGramStyleType = styleType;
+            _stats = stats;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"magic_{_magicPrompt.ToString()} ar_{_aspectRatio.ToString()} style_{_ideoGramStyleType.ToString()}";
+
+            return res;
+        }
+
+        public Bitmap GetLabelBitmap(int width)
+        {
+            throw new NotImplementedException();
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        {
+            await _ideogramSemaphore.WaitAsync();
+            try
+            {
+                var ideogramDetails = new IdeogramDetails
+                {
+                    AspectRatio = _aspectRatio,
+                    Model = IdeogramModel.V_2,
+                    MagicPromptOption = _magicPrompt,
+                    StyleType = _ideoGramStyleType
+                };
+
+                var request = new IdeogramGenerateRequest(promptDetails.Prompt, ideogramDetails);
+
+                _stats.IdeogramRequestCount++;
+                GenerateResponse response = await _ideogramClient.GenerateImageAsync(request);
+                if (response?.Data?.Count == 1)
+                {
+                    foreach (var imageObject in response.Data)
+                    {
+                        //there is only actually one ever.
+                        var returnedPrompt = imageObject.Prompt;
+                        if (returnedPrompt != promptDetails.Prompt)
+                        {
+                            //Ideogram replaced the prompt.
+                            promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.IdeogramRewrite);
+                        }
+                        var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, imageObject.Url));
+                        var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+                        return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram };
+                    }
+                    throw new Exception("No images returned");
+                }
+                else if (response?.Data?.Count >= 1)
+                {
+                    throw new Exception("Multiple images returned? I can't handle this! Who knew!");
+                }
+                else
+                {
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = "No images generated", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated };
+                }
+            }
+
+            catch (Exception ex)
+            {
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
+            }
+            finally
+            {
+                _ideogramSemaphore.Release();
+            }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/RecraftGenerator.cs b/MultiImageClient/Services/RecraftGenerator.cs
new file mode 100644
index 0000000..22b28ba
--- /dev/null
+++ b/MultiImageClient/Services/RecraftGenerator.cs
@@ -0,0 +1,149 @@
+using RecraftAPIClient;
+
+using SixLabors.ImageSharp;
+
+using System;
+using System.Drawing;
+using System.Linq;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class RecraftGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _recraftSemaphore;
+        private RecraftClient _recraftClient;
+        private HttpClient _httpClient;
+        private MultiClientRunStats _stats;
+        private static Random _Random = new Random();
+
+        public RecraftGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
+        {
+            _recraftClient = new RecraftClient(apiKey);
+            _recraftSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
+            _stats = stats;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"";
+            return res;
+            //components.Add(result.PromptDetails.RecraftDetails.style.ToString());
+            //components.Add(result.PromptDetails.RecraftDetails.substyle.ToString());
+        }
+
+        public Bitmap GetLabelBitmap(int width)
+        {
+            throw new NotImplementedException();
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync( PromptDetails promptDetails)
+        {
+            await _recraftSemaphore.WaitAsync();
+            try
+            {
+                _stats.RecraftImageGenerationRequestCount++;
+                var usingPrompt = promptDetails.Prompt;
+                if (usingPrompt.Length > 1000)
+                {
+                    usingPrompt = usingPrompt.Substring(0, 990);
+                    Logger.Log("Truncating the prompt for Recraft.");
+                }
+                var recraftDetails = GetRandomRecraftStyleAndSubstyleDetails();
+
+                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, recraftDetails);
+                Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
+                _stats.RecraftImageGenerationSuccessCount++;
+                var theUrl = generationResult.Data[0].Url;
+
+                var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, theUrl));
+                var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Url = theUrl,
+                    ContentType = contentType,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.Recraft
+                };
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Recraft error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft };
+            }
+            finally
+            {
+                _recraftSemaphore.Release();
+            }
+        }
+
+        public static RecraftDetails GetRandomRecraftStyleAndSubstyleDetails()
+        {
+            var details = new RecraftDetails
+            {
+                size = RecraftImageSize._1536x1024
+            };
+
+            // Randomly select one of the three main styles
+            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
+            details.style = styles[_Random.Next(styles.Count)].ToString();
+
+            // Based on chosen style, select appropriate substyle
+
+            bool coinFlip = true;
+
+            switch (details.style)
+            {
+                case "digital_illustration":
+                    var digitalStyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles))
+                        .Cast<RecraftDigitalIllustrationSubstyles>().ToList();
+                    if (coinFlip)
+                    {
+                        details.substyle = digitalStyles[_Random.Next(digitalStyles.Count)].ToString();
+                    }
+                    break;
+
+                case "realistic_image":
+                    var realisticStyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyles))
+                        .Cast<RecraftRealisticImageSubstyles>().ToList();
+                    if (coinFlip)
+                    {
+                        details.substyle = realisticStyles[_Random.Next(realisticStyles.Count)].ToString();
+                    }
+                    break;
+
+                case "vector_illustration":
+                    var vectorStyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles))
+                        .Cast<RecraftVectorIllustrationSubstyles>().ToList();
+                    if (coinFlip)
+                    {
+                        details.substyle = vectorStyles[_Random.Next(vectorStyles.Count)].ToString();
+                    }
+                    break;
+            }
+
+            return details;
+        }
+        public string GetFullStyleName(string style, string substyle)
+        {
+            switch (style)
+            {
+                case "digital_illustration":
+                    return $"{nameof(RecraftStyle.digital_illustration)} - {substyle}";
+                case "realistic_image":
+                    return $"{nameof(RecraftStyle.realistic_image)} - {substyle}";
+                case "vector_illustration":
+                    return $"{nameof(RecraftStyle.vector_illustration)} - {substyle}";
+                case "any":
+                    return "Any Style";
+                default:
+                    return "Unknown";
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/Services/RecraftService.cs b/MultiImageClient/Services/RecraftService.cs
deleted file mode 100644
index 058b963..0000000
--- a/MultiImageClient/Services/RecraftService.cs
+++ /dev/null
@@ -1,64 +0,0 @@
-using RecraftAPIClient;
-
-using System;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class RecraftService : IImageGenerationService
-    {
-        private SemaphoreSlim _recraftSemaphore;
-        private RecraftClient _recraftClient;
-        private HttpClient _httpClient;
-
-        public RecraftService(string apiKey, int maxConcurrency)
-        {
-            _recraftClient = new RecraftClient(apiKey);
-            _recraftSemaphore = new SemaphoreSlim(maxConcurrency);
-            _httpClient = new HttpClient();
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails, MultiClientRunStats stats)
-        {
-            await _recraftSemaphore.WaitAsync();
-            try
-            {
-                var recraftDetails = promptDetails.RecraftDetails;
-                stats.RecraftImageGenerationRequestCount++;
-                var usingPrompt = promptDetails.Prompt;
-                if (usingPrompt.Length > 1000)
-                {
-                    usingPrompt = usingPrompt.Substring(0, 990);
-                    Logger.Log("Truncating the prompt for Recraft.");
-                }
-                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, recraftDetails);
-                Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
-                stats.RecraftImageGenerationSuccessCount++;
-                var theUrl = generationResult.Data[0].Url;
-
-                var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, theUrl));
-                var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-
-                return new TaskProcessResult
-                {
-                    IsSuccess = true,
-                    Url = theUrl,
-                    ContentType = contentType,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = ImageGeneratorApiType.Recraft
-                };
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Recraft error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft };
-            }
-            finally
-            {
-                _recraftSemaphore.Release();
-            }
-        }
-    }
-}
diff --git a/MultiImageClient/imageGenerators/AbstractImageGenerator.cs b/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
deleted file mode 100644
index acc181d..0000000
--- a/MultiImageClient/imageGenerators/AbstractImageGenerator.cs
+++ /dev/null
@@ -1,17 +0,0 @@
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public abstract class AbstractImageGenerator
-    {
-        internal IImageGenerationService _svc { get; set; }
-        public ImageGeneratorApiType GetApiType { get; set; }
-
-        public AbstractImageGenerator(IImageGenerationService svc, ImageGeneratorApiType getApiType)
-        {
-            _svc = svc;
-            GetApiType = getApiType;
-        }
-        public abstract Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats);
-    }
-}
diff --git a/MultiImageClient/imageGenerators/BFLGenerator.cs b/MultiImageClient/imageGenerators/BFLGenerator.cs
deleted file mode 100644
index f490bbe..0000000
--- a/MultiImageClient/imageGenerators/BFLGenerator.cs
+++ /dev/null
@@ -1,49 +0,0 @@
-using IdeogramAPIClient;
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class BFLGenerator : AbstractImageGenerator, IImageGenerator
-    {
-        public BFLGenerator(IImageGenerationService svc, ImageGeneratorApiType specificGenerator) : base(svc, specificGenerator)
-        {
-        }
-        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
-        {
-            //this is where we set up the details actually.
-            if (GetApiType == ImageGeneratorApiType.BFLv11)
-            { 
-                var bflDetails = new BFL11Details
-                {
-                    Width = 1440,
-                    Height = 1440, //1376
-                    PromptUpsampling = true,
-                    SafetyTolerance = 6,
-                };
-                pd.BFL11Details = bflDetails;
-            }
-            else if (GetApiType == ImageGeneratorApiType.BFLv11Ultra)
-            {
-                var bflDetails11Ultra = new BFL11UltraDetails
-                {
-                    AspectRatio = "1:1",
-                    PromptUpsampling = true,
-                    SafetyTolerance = 6,
-                };
-                pd.BFL11UltraDetails = bflDetails11Ultra;
-            }
-            else
-            {
-                Logger.Log("erro.?");
-            }
-
-            Logger.Log($"{pd.Index} Submitting to {GetApiType}");
-            var res = await _svc.ProcessPromptAsync(pd, stats);
-            return res;
-        }
-    }
-}
diff --git a/MultiImageClient/imageGenerators/Dalle3Details.cs b/MultiImageClient/imageGenerators/Dalle3Details.cs
deleted file mode 100644
index 05520b5..0000000
--- a/MultiImageClient/imageGenerators/Dalle3Details.cs
+++ /dev/null
@@ -1,27 +0,0 @@
-using IdeogramAPIClient;
-using OpenAI.Images;
-
-namespace MultiImageClient
-{
-    public class Dalle3Details : IDetails
-    {
-        public string Model { get; set; }
-        public GeneratedImageSize Size { get; set; }
-        public GeneratedImageQuality Quality { get; set; }
-        public GeneratedImageFormat Format { get; set; }
-
-        public Dalle3Details() { }
-        public Dalle3Details(Dalle3Details other)
-        {
-            Model = other.Model;
-            Size = other.Size;
-            Quality = other.Quality;
-            Format = other.Format;
-        }
-
-        public string GetDescription()
-        {
-            return $"{Model}-{Size}-{Quality}-{Format}";
-        }
-    }
-}
\ No newline at end of file
diff --git a/MultiImageClient/imageGenerators/Dalle3Generator.cs b/MultiImageClient/imageGenerators/Dalle3Generator.cs
deleted file mode 100644
index 5479115..0000000
--- a/MultiImageClient/imageGenerators/Dalle3Generator.cs
+++ /dev/null
@@ -1,33 +0,0 @@
-using OpenAI.Images;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class Dalle3Generator : AbstractImageGenerator, IImageGenerator  
-    {
-        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Dalle3;
-        public Dalle3Generator(IImageGenerationService svc, ImageGeneratorApiType imageGeneratorApiType) : base(svc, imageGeneratorApiType)
-        {
-        }
-        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var dalle3Details = new Dalle3Details
-            {
-                Model = "dall-e-3",
-                Size = GeneratedImageSize.W1024xH1024,
-                Quality = GeneratedImageQuality.High,
-                Format = GeneratedImageFormat.Uri
-            };
-            pd.Dalle3Details = dalle3Details;
-
-            Logger.Log($"{pd.Show()} Submitting to Dalle3");
-            var res = await _svc.ProcessPromptAsync(pd, stats);
-            return res;
-        }
-    }
-}
diff --git a/MultiImageClient/imageGenerators/GptImageOneDetails.cs b/MultiImageClient/imageGenerators/GptImageOneDetails.cs
deleted file mode 100644
index f2bc29e..0000000
--- a/MultiImageClient/imageGenerators/GptImageOneDetails.cs
+++ /dev/null
@@ -1,31 +0,0 @@
-using IdeogramAPIClient;
-using OpenAI.Images;
-
-namespace MultiImageClient
-{
-    public class GptImageOneDetails : IDetails
-    {
-        public string Model { get; set; } = "gpt-image-1";
-        public string moderation { get; set; } = "low";
-        public string output_format { get; set; } = "png";
-        public string quality { get; set; } = "high";
-        public string size { get; set; } = "auto";
-
-        //public GeneratedImageSize Size { get; set; }
-        //public GeneratedImageQuality Quality { get; set; }
-        //public GeneratedImageFormat Format { get; set; }
-
-        public GptImageOneDetails() { }
-        public GptImageOneDetails(GptImageOneDetails other)
-        {
-            moderation =  other.moderation;
-            output_format = other.output_format;
-            quality= other.quality;
-            size= other.size;
-        }
-
-        public string GetDescription() { 
-            return $"{moderation}-{size}-{quality}-{size}";
-        }
-    }
-}
\ No newline at end of file
diff --git a/MultiImageClient/imageGenerators/GptImageOneDetails1.cs b/MultiImageClient/imageGenerators/GptImageOneDetails1.cs
deleted file mode 100644
index 3576313..0000000
--- a/MultiImageClient/imageGenerators/GptImageOneDetails1.cs
+++ /dev/null
@@ -1,4 +0,0 @@
-namespace MultiImageClient
-{
-    
-}
\ No newline at end of file
diff --git a/MultiImageClient/imageGenerators/GptImageOneGenerator.cs b/MultiImageClient/imageGenerators/GptImageOneGenerator.cs
deleted file mode 100644
index a5ecfe4..0000000
--- a/MultiImageClient/imageGenerators/GptImageOneGenerator.cs
+++ /dev/null
@@ -1,27 +0,0 @@
-using OpenAI.Images;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class GptImageOneGenerator : AbstractImageGenerator, IImageGenerator  
-    {
-        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Dalle3;
-        public GptImageOneGenerator(IImageGenerationService svc, ImageGeneratorApiType imageGeneratorApiType) : base(svc, imageGeneratorApiType)
-        {
-        }
-        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var gptImageOneDetails = new GptImageOneDetails();
-            pd.GptImageOneDetails= gptImageOneDetails;
-
-            Logger.Log($"{pd.Show()} Submitting to GptImageOne");
-            var res = await _svc.ProcessPromptAsync(pd, stats);
-            return res;
-        }
-    }
-}
diff --git a/MultiImageClient/imageGenerators/IdeogramGenerator.cs b/MultiImageClient/imageGenerators/IdeogramGenerator.cs
deleted file mode 100644
index 6d68b1f..0000000
--- a/MultiImageClient/imageGenerators/IdeogramGenerator.cs
+++ /dev/null
@@ -1,37 +0,0 @@
-using IdeogramAPIClient;
-using OpenAI.Images;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-
-    public class IdeogramGenerator : AbstractImageGenerator, IImageGenerator
-    {
-        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Ideogram;
-
-        public IdeogramGenerator(IImageGenerationService svc, ImageGeneratorApiType imageGeneratorApiType) : base(svc, imageGeneratorApiType)
-        {
-        }
-
-        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
-        {
-            var ideogramDetails = new IdeogramDetails
-            {
-                AspectRatio = IdeogramAspectRatio.ASPECT_1_1,
-                Model = IdeogramModel.V_2,
-                MagicPromptOption = IdeogramMagicPromptOption.OFF,
-                StyleType = IdeogramStyleType.GENERAL,
-            };
-            pd.IdeogramDetails = ideogramDetails;
-
-            Logger.Log($"{pd.Show()} Submitting to Ideogram");
-            var res = await _svc.ProcessPromptAsync(pd, stats);
-            return res;
-        }
-    }
-}
diff --git a/MultiImageClient/imageGenerators/RecraftGenerator.cs b/MultiImageClient/imageGenerators/RecraftGenerator.cs
deleted file mode 100644
index b541cd6..0000000
--- a/MultiImageClient/imageGenerators/RecraftGenerator.cs
+++ /dev/null
@@ -1,90 +0,0 @@
-using IdeogramAPIClient;
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using RecraftAPIClient;
-
-namespace MultiImageClient
-{
-    public class RecraftGenerator : AbstractImageGenerator, IImageGenerator
-    {
-        public ImageGeneratorApiType GetApiType => ImageGeneratorApiType.Recraft;
-        private static Random random = new Random();
-
-        public RecraftGenerator(IImageGenerationService svc, ImageGeneratorApiType imageGeneratorApiType) : base(svc, imageGeneratorApiType)
-        {
-        }
-
-        private RecraftDetails GetDefaultRecraftDetails()
-        {
-            var details = new RecraftDetails
-            {
-                size = RecraftImageSize._1024x1536
-            };
-            details.style = "any";
-            return details;
-        }
-        private RecraftDetails GetRandomRecraftStyleAndSubstyleDetails()
-        {
-            var details = new RecraftDetails
-            {
-                size = RecraftImageSize._1536x1024
-            };
-
-            // Randomly select one of the three main styles
-            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
-            details.style = styles[random.Next(styles.Count)].ToString();
-
-            // Based on chosen style, select appropriate substyle
-
-            bool coinFlip = true;
-
-            switch (details.style)
-            {
-                case "digital_illustration":
-                    var digitalStyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles))
-                        .Cast<RecraftDigitalIllustrationSubstyles>().ToList();
-                    if (coinFlip)
-                    {
-                        details.substyle = digitalStyles[random.Next(digitalStyles.Count)].ToString();
-                    }
-                    break;
-
-                case "realistic_image":
-                    var realisticStyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyles))
-                        .Cast<RecraftRealisticImageSubstyles>().ToList();
-                    if (coinFlip)
-                    {
-                        details.substyle = realisticStyles[random.Next(realisticStyles.Count)].ToString();
-                    }
-                    break;
-
-                case "vector_illustration":
-                    var vectorStyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles))
-                        .Cast<RecraftVectorIllustrationSubstyles>().ToList();
-                    if (coinFlip)
-                    {
-                        details.substyle = vectorStyles[random.Next(vectorStyles.Count)].ToString();
-                    }
-                    break;
-            }
-
-            return details;
-        }
-
-        public override async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails pd, MultiClientRunStats stats)
-        {
-            if (pd.RecraftDetails == null)
-            {
-                pd.RecraftDetails = GetRandomRecraftStyleAndSubstyleDetails();
-                //pd.RecraftDetails = GetDefaultRecraftDetails();
-            }
-            
-            Logger.Log($"{pd.Show()} Submitting to Recraft");
-            var res = await _svc.ProcessPromptAsync(pd, stats);
-            return res;
-        }
-    }
-}
diff --git a/MultiImageClient/promptGenerators/DeckOfCards.cs b/MultiImageClient/promptGenerators/DeckOfCards.cs
index 1c9829d..b8e10ac 100644
--- a/MultiImageClient/promptGenerators/DeckOfCards.cs
+++ b/MultiImageClient/promptGenerators/DeckOfCards.cs
@@ -5,14 +5,13 @@
 
 namespace MultiImageClient
 {
-    public class DeckOfCards : AbstractPromptGenerator
+    public class DeckOfCards : AbstractPromptSource
     {
         public DeckOfCards(Settings settings) : base(settings)
         {
         }
 
         public override string Name => nameof(DeckOfCards);
-        public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Prefix => "Describe the design of new playing card: ";
         public override int ImageCreationLimit => 500;
         public override int CopiesPer => 1;
@@ -37,7 +36,6 @@ private IEnumerable<PromptDetails> GetPrompts()
                     var pd = new PromptDetails();
                     var prompt = $"The {jobs} of {suits[ii]} using the style of {artists[ii]} using the color {themes[ii]} and emotion: {emotionThemes[ii]}";
                     pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                    pd.IdentifyingConcept = $"{artists[ii]}_{suits[ii]}_{jobs}.";
                     yield return pd;
                 }
             }
diff --git a/MultiImageClient/promptGenerators/EmotionFaces.cs b/MultiImageClient/promptGenerators/EmotionFaces.cs
index 79d8c97..3b0d2fe 100644
--- a/MultiImageClient/promptGenerators/EmotionFaces.cs
+++ b/MultiImageClient/promptGenerators/EmotionFaces.cs
@@ -6,14 +6,13 @@
 
 namespace MultiImageClient
 {
-    public class EmotionFaces : AbstractPromptGenerator
+    public class EmotionFaces : AbstractPromptSource
     {
         public EmotionFaces(Settings settings) : base(settings)
         {
         }
 
         public override string Name => "Paintings";
-        public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Prefix => "";
         public override int ImageCreationLimit => 30;
         public override int CopiesPer => 1;
@@ -32,7 +31,6 @@ private IEnumerable<PromptDetails> GetPrompts()
                 var prompt = $"A clear, very sharp, high resolution, artistic photograph of a close up of just the face of a 30 year old white middle class university lecturer in Biology from Florida, working at UNC, at a staff post-term party reception, standing at a table, with  {emotion} expression on his face. He has brown hair, a t-shirt and the reception takes place in on the rooftop garden in the the old mathematics building where they are eating hot dogs and burgers and watching the game. he is not handsome nor manly. He is a passable lecturer only; his brilliance at reading does not come out in his slow speech. He is not attractive. He doesn't have glasses. He is of average build, looks like a typical early career lecturer. His father was swiss and his mother is french so he looks fairly western european in face. He is clean shaven and has an ill-defined jaw.  Only has face is visible looking almost directly at the camera close up framing his face from forehead to chin, ear to ear. The rest of his body is not visible. He has no beard or stubble or moustache, his face is smooth. He is engaged in an intense discussion with a colleague.";
                 pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
                 var theSplit = emotion.Split(' ', 2);
-                pd.IdentifyingConcept = $"{theSplit[1]}.";
                 yield return pd;
             }
 
diff --git a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
index 67d525e..b628a5a 100644
--- a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
@@ -7,10 +7,10 @@
 using System.Runtime.Intrinsics.X86;
 using System.Security.Cryptography.X509Certificates;
 
-namespace MultiImageClient.promptGenerators
+namespace MultiImageClient
 {
     /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
-    public class LoadDoubleFromFile : AbstractPromptGenerator
+    public class LoadDoubleFromFile : AbstractPromptSource
     {
         private string FilePath { get; set; }
         private bool _IncludePublic { get; set; }
@@ -35,12 +35,7 @@ public LoadDoubleFromFile(Settings settings, string path, bool includePublic, bo
         public override int FullyResolvedCopiesPer => 2;
         public override bool RandomizeOrder => true;
         public override string Prefix => "";
-        public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Suffix => "";
-        public override bool SaveFinalPrompt => true;
-        public override bool SaveInitialIdea => true;
-        public override bool SaveFullAnnotation => true;
-
         private IEnumerable<PromptDetails> GetPrompts()
         {
             var sourceFPs = new List<string>() { };
@@ -110,7 +105,6 @@ private IEnumerable<PromptDetails> GetPrompts()
                 Logger.Log(combined);
                 var pd = new PromptDetails();
                 pd.ReplacePrompt(combined, combined, TransformationType.InitialPrompt);
-                pd.IdentifyingConcept = "";
 
                 yield return pd;
             }
diff --git a/MultiImageClient/promptGenerators/LoadFromFile.cs b/MultiImageClient/promptGenerators/LoadFromFile.cs
deleted file mode 100644
index 30baea4..0000000
--- a/MultiImageClient/promptGenerators/LoadFromFile.cs
+++ /dev/null
@@ -1,97 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.ComponentModel;
-using System.IO;
-using System.Linq;
-using System.Reflection.Metadata.Ecma335;
-
-namespace MultiImageClient.promptGenerators
-{
-    /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
-    public class LoadFromFile : AbstractPromptGenerator
-    {
-        private string FilePath { get; set; }
-        public LoadFromFile(Settings settings, string path) : base(settings)
-        {
-            if (!string.IsNullOrEmpty(path) && File.Exists(path))
-            {
-                FilePath = path;
-            }
-            else
-            {
-                FilePath = "";
-            }
-        }
-
-        public override string Name => nameof(LoadFromFile);
-
-        public override int ImageCreationLimit => 109;
-        public override int CopiesPer => 1;
-        public override int FullyResolvedCopiesPer => 1;
-        public override bool RandomizeOrder => true;
-        public override string Prefix => "";
-        public override IEnumerable<string> Variants => new List<string> { "" };
-        public override string Suffix => "";
-        public override bool SaveFinalPrompt => true;
-        public override bool SaveInitialIdea => true;
-        public override bool SaveFullAnnotation => true;
-        
-        private IEnumerable<PromptDetails> GetPrompts()
-        {
-            var sourceFPs = new List<string>() {
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\prompts3.txt"
-            };
-            
-            if (!string.IsNullOrEmpty(FilePath)) {
-                sourceFPs.Add(FilePath);
-            }
-
-            var allPromptsRaw = new List<string>();
-
-            foreach (var fp in sourceFPs)
-            {
-                var items = File.ReadAllLines(fp).ToList();
-                foreach (var usePrompt in items)
-                {
-                    //if ((usePrompt.Contains("{{") || usePrompt.Contains("[[")) && !(usePrompt.Contains("[[[") || usePrompt.Contains("}}}")))
-                    //{
-                    //    continue;
-                    //}
-                    if (string.IsNullOrEmpty(usePrompt))
-                    {
-                        continue;
-                    }
-                    //var good = false;
-                    //if (usePrompt.ToLower().Contains("japan") || usePrompt.ToLower().Contains("girl") || usePrompt.ToLower().Contains("woman") || usePrompt.ToLower().Contains("high school") || usePrompt.ToLower().Contains("chinese") || usePrompt.ToLower().Contains("asian"))
-                    //{
-                    //    good = true;
-                    //}
-                    //if (!good)
-                    //{
-                    //    continue;
-                    //}
-                    allPromptsRaw.Add(usePrompt);
-                }
-            }
-
-            Logger.Log($"loaded {allPromptsRaw.Count} prompts total.");
-
-            for (var ii = 0; ii < ImageCreationLimit; ii++)
-            {
-                var aa = Random.Shared.Next(0, allPromptsRaw.Count);
-                var pd = new PromptDetails();
-                var usePrompt = allPromptsRaw[aa];
-                pd.ReplacePrompt(usePrompt, usePrompt, TransformationType.InitialPrompt);
-                pd.IdentifyingConcept = "";
-
-                yield return pd;
-            }
-        }
-
-        public override IEnumerable<PromptDetails> Prompts => GetPrompts();
-    }
-}
-
diff --git a/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs b/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
new file mode 100644
index 0000000..e81a0a6
--- /dev/null
+++ b/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
@@ -0,0 +1,82 @@
+using System;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.IO;
+using System.Linq;
+using System.Reflection.Metadata.Ecma335;
+
+namespace MultiImageClient
+{
+    // the most common method for getting prompts to test, just load them from a big file of old ones I have.
+    public class ReadAllPromptsFromFile : AbstractPromptSource
+    {
+        private string FilePath { get; set; }
+
+        public ReadAllPromptsFromFile(Settings settings, string path) : base(settings)
+        {
+            if (!string.IsNullOrEmpty(path) && File.Exists(path))
+            {
+                FilePath = path;
+            }
+            else
+            {
+                FilePath = "";
+            }
+        }
+
+        public override string Name => nameof(ReadAllPromptsFromFile);
+        public override int ImageCreationLimit => 100;
+        public override int CopiesPer => 1;
+        public override int FullyResolvedCopiesPer => 1;
+        public override bool RandomizeOrder => true;
+        public override string Prefix => "";
+        public override string Suffix => "";
+        public override IEnumerable<PromptDetails> Prompts
+        {
+            get
+            {
+                var sourceFPs = new List<string>() {
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\prompts3.txt"
+            };
+
+                if (!string.IsNullOrEmpty(FilePath))
+                {
+                    sourceFPs.Add(FilePath);
+                }
+
+                var allPromptsRaw = new List<string>();
+
+                foreach (var fp in sourceFPs)
+                {
+                    var items = File.ReadAllLines(fp).ToList();
+                    foreach (var usePrompt in items)
+                    {
+                        if (string.IsNullOrEmpty(usePrompt))
+                        {
+                            continue;
+                        }
+                        allPromptsRaw.Add(usePrompt);
+                    }
+                }
+
+                Logger.Log($"loaded {allPromptsRaw.Count} prompts total.");
+
+                for (var ii = 0; ii < ImageCreationLimit; ii++)
+                {
+                    var aa = Random.Shared.Next(0, allPromptsRaw.Count);
+                    var pd = new PromptDetails();
+                    var usePrompt = allPromptsRaw[aa];
+                    pd.ReplacePrompt(usePrompt, usePrompt, TransformationType.InitialPrompt);
+
+                    yield return pd;
+                }
+            }
+        }
+
+        
+    }
+}
+
diff --git a/MultiImageClient/promptGenerators/RecraftAllsStyles.cs b/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
index 860cc2c..f2b8f60 100644
--- a/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
+++ b/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
@@ -30,7 +30,7 @@
 namespace MultiImageClient
 {
     /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
-    public class RecraftAllsStyles : AbstractPromptGenerator
+    public class RecraftAllsStyles : AbstractPromptSource
     {
 
         public RecraftAllsStyles(Settings settings) : base(settings)
@@ -42,12 +42,7 @@ public RecraftAllsStyles(Settings settings) : base(settings)
         public override int CopiesPer => 1;
         public override bool RandomizeOrder => false;
         public override string Prefix => "";
-        public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Suffix => "";
-        public override bool SaveFullAnnotation => true;
-        public override bool SaveInitialIdea => false;
-        public override bool SaveFinalPrompt => false;
-        public override bool SaveJustOverride => true;
 
         private IEnumerable<PromptDetails> GetPrompts()
         {
@@ -76,9 +71,7 @@ private IEnumerable<PromptDetails> GetPrompts()
                     var prompt = "A magnificent tower in an epic plain, ruins and hidden secrets, super detailed and high resolution, incredibly deep and profound, with hidden creatures and erosion, and a cute semi-hidden kitten.";
                     pd.ReplacePrompt(prompt, prompt , TransformationType.InitialPrompt);
                     
-                    pd.IdentifyingConcept = $"{style}\t{usingSub}\tmagnificent tower in an epic plain";
-                    
-                    pd.RecraftDetails = recraftDetails;
+                    //pd.RecraftDetails = recraftDetails;
                     Logger.Log($"Trying style, substyle: {style} {usingSub}");
                     res.Add(pd);
                 }
diff --git a/MultiImageClient/promptGenerators/ScenesFromStory.cs b/MultiImageClient/promptGenerators/ScenesFromStory.cs
index 994c52e..cd64252 100644
--- a/MultiImageClient/promptGenerators/ScenesFromStory.cs
+++ b/MultiImageClient/promptGenerators/ScenesFromStory.cs
@@ -6,14 +6,13 @@
 
 namespace MultiImageClient
 {
-    public class ScenesFromStory : AbstractPromptGenerator
+    public class ScenesFromStory : AbstractPromptSource
     {
         public ScenesFromStory(Settings settings) : base(settings)
         {
         }
 
         public override string Name => "Scenes from Equinoctal";
-        public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Prefix => "";
         public override int ImageCreationLimit => 300;
         public override int CopiesPer => 3;
diff --git a/MultiImageClient/promptGenerators/SinglePromptGenerator.cs b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
index 1adf9dd..6f45e54 100644
--- a/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
+++ b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
@@ -10,7 +10,7 @@
 namespace MultiImageClient
 {
     /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
-    public class SinglePromptGenerator : AbstractPromptGenerator
+    public class SinglePromptGenerator : AbstractPromptSource
     {
         private int _copiesPer;
         private int _fullyResolvedCopiesPer;
@@ -29,11 +29,8 @@ public SinglePromptGenerator(IList<string> prompts, int copiesPer, int fullyReso
         public override int FullyResolvedCopiesPer => _fullyResolvedCopiesPer;
         public override bool RandomizeOrder => false;
         public override string Prefix => "";
-        public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Suffix => "";
-        public override bool SaveFinalPrompt => true;
-        public override bool SaveInitialIdea => true;
-        public override bool SaveFullAnnotation => true;
+
         public override IEnumerable<PromptDetails> Prompts
         {
             get
diff --git a/MultiImageClient/promptGenerators/StillLife.cs b/MultiImageClient/promptGenerators/StillLife.cs
index 349879e..32d8b13 100644
--- a/MultiImageClient/promptGenerators/StillLife.cs
+++ b/MultiImageClient/promptGenerators/StillLife.cs
@@ -6,14 +6,13 @@
 
 namespace MultiImageClient
 {
-    public class StillLife : AbstractPromptGenerator
+    public class StillLife : AbstractPromptSource
     {
         public StillLife(Settings settings) : base(settings)
         {
         }
 
         public override string Name => "Emotional Man";
-        public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Prefix => "";
         public override int ImageCreationLimit => 300;
         public override int CopiesPer => 3;
@@ -32,7 +31,6 @@ private IEnumerable<PromptDetails> GetPrompts()
                 //var prompt = $"Your subject is the very concept of the feeling: {emotion}. Portray this concept thoroughly, and focus on this specific single concept and feeling, only.  Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions. Then, compose a still life whose design, elements, style, colors, textures, orientation, complexity or simplicity, taste, the form of the artwork, the apparent age, tradition, or modernity of the image, its composition, and every other aspect of it fully embody the very specific aspects of this singular emotion in an extremely intense, poignant, deeply moving, and very clear, obvious and distinct way. There should be a deep and complex   relationship between the elements. Use specific styles, ranging from hypermodern to traditional, conservative, ancient, foreign, european, etc.  Include the following for things which appear: their orientation, light sources, facing direction, and interanl relationships as well as relation to the viewer, symbolisms, the way they are drawn, etc. Be extremely specific on exactly what should appear, and where, within the image. No human face appears at all. Exclude all textual elements. You may need to be very wordy with your output, more than normal, to make sure you cover all the required elements. This is required; you MUST output a very long and hyper specific prompt with specific artists and styles mentioned.";
                 var prompt = $"Create a description of an ART work expressing strong {emotion} with a strong POLISH influences both in terms of product design, architecture, anthropomorphism, symbolism and religious, philosophical, and artistic traditions yet retaining your elite status. Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions.   Detail specifics regarding the artwork's design and characteristics.:\r\nTechnical requirements:\r\n\r\nStyle: [Choose 1-2: Other styles than these, or Hyperrealism, Dutch Golden Age, Minimalist Modern, Pop Art, Baroque etc. But pick OTHER ones]\r\nPrimary artist influences: [e.g., Giorgio Morandi, Wayne Thiebaud, Juan Sánchez Cotán but do NOT pick them, pick other people of similar levels of fame or less]\r\nMedium: [Oil painting, Digital art, Photography, Watercolor]\r\nAspect ratio: [9:7]\r\nLighting: [Describe specific lighting direction, intensity, and quality]\r\n\r\nComposition elements:\r\n\r\nPrimary focal object: [Describe specific item, position, size]\r\nSupporting objects: [List 2-3 objects with exact positions]\r\nBackground: [Describe surface and environment]\r\nColor palette: [List specific colors, e.g., \"deep burgundy (#800020), cream white (#FFFDD0)\"]\r\n\r\nEmotional expression through:\r\n\r\nTexture: [e.g., \"smooth polished surfaces reflecting light\" or \"rough, weathered textures\"]\r\nComposition: [e.g., \"objects arranged in descending diagonal line\" or \"circular arrangement\"]\r\nSymbolism: [Describe specific symbolic meanings of chosen objects]\r\nMood: [Describe atmosphere through lighting and shadow]\r\n\r\nTechnical specifications:\r\n\r\nCamera angle: [e.g., \"45-degree elevated view,\" \"straight-on eye level\"]\r\nDepth of field: [Specify focus areas]\r\nDistance: [Specify viewing distance]\r\n\r\nStyle references:\r\n\r\nPrimary: [e.g., \"Chiaroscuro technique of Caravaggio\"]\r\nSecondary: [e.g., \"Color theory of Josef Albers\"]\r\n\r\nQuality requirements:\r\n\r\nPhotorealistic rendering\r\nHigh detail in textures\r\nSharp focus on key elements\r\nProfessional studio lighting quality\r\n8K resolution\r\nRay-traced shadows and reflections. Overall: do NOT just copy the examples given in this prompt. Generate new unique ones that clearly show {emotion} {emotion} {emotion} ";
                 pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                pd.IdentifyingConcept = $"{emotion}";
                 yield return pd;
             }
 
diff --git a/MultiImageClient/promptGenerators/TPSigns.cs b/MultiImageClient/promptGenerators/TPSigns.cs
index 853b4e8..9f0b4fd 100644
--- a/MultiImageClient/promptGenerators/TPSigns.cs
+++ b/MultiImageClient/promptGenerators/TPSigns.cs
@@ -6,14 +6,13 @@
 
 namespace MultiImageClient
 {
-    public class TPSigns : AbstractPromptGenerator
+    public class TPSigns : AbstractPromptSource
     {
         public TPSigns(Settings settings) : base(settings)
         {
         }
 
         public override string Name => "Emotional Man";
-        public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Prefix => "";
         public override int ImageCreationLimit => 300;
         public override int CopiesPer => 3;
@@ -32,7 +31,6 @@ private IEnumerable<PromptDetails> GetPrompts()
                 //var prompt = $"Your subject is the very concept of the feeling: {emotion}. Portray this concept thoroughly, and focus on this specific single concept and feeling, only.  Be OVERLY symbolic and abstract in the symbology, intensifying the effect. Your overall composition style should be eminently high class, suitable, no matter what, for display in the ultimate Louvre, even more elite than the current one. Identify the specific aspects of this feeling in highly technical terms, specifically excluding all nearby emotions. Then, compose a still life whose design, elements, style, colors, textures, orientation, complexity or simplicity, taste, the form of the artwork, the apparent age, tradition, or modernity of the image, its composition, and every other aspect of it fully embody the very specific aspects of this singular emotion in an extremely intense, poignant, deeply moving, and very clear, obvious and distinct way. There should be a deep and complex   relationship between the elements. Use specific styles, ranging from hypermodern to traditional, conservative, ancient, foreign, european, etc.  Include the following for things which appear: their orientation, light sources, facing direction, and interanl relationships as well as relation to the viewer, symbolisms, the way they are drawn, etc. Be extremely specific on exactly what should appear, and where, within the image. No human face appears at all. Exclude all textual elements. You may need to be very wordy with your output, more than normal, to make sure you cover all the required elements. This is required; you MUST output a very long and hyper specific prompt with specific artists and styles mentioned.";
                 var prompt = $"Your Subject is: '{emotion.Trim()}'";
                 pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                pd.IdentifyingConcept = emotion; 
                 yield return pd;
             }
 
diff --git a/MultiImageClient/promptGenerators/WriteHere.cs b/MultiImageClient/promptGenerators/WriteHere.cs
index 42fa362..7a6f050 100644
--- a/MultiImageClient/promptGenerators/WriteHere.cs
+++ b/MultiImageClient/promptGenerators/WriteHere.cs
@@ -30,7 +30,7 @@
 namespace MultiImageClient
 {
     /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
-    public class WriteHere : AbstractPromptGenerator
+    public class WriteHere : AbstractPromptSource
     {
 
         public WriteHere(Settings settings) : base(settings)
@@ -42,7 +42,6 @@ public WriteHere(Settings settings) : base(settings)
         public override int CopiesPer => 4;
         public override bool RandomizeOrder => true;
         public override string Prefix => "";
-        public override IEnumerable<string> Variants => new List<string> { "" };
         public override string Suffix => "";
 
         private IEnumerable<PromptDetails> GetPrompts()
@@ -64,7 +63,6 @@ private IEnumerable<PromptDetails> GetPrompts()
             {
                 var pd = new PromptDetails();
                 pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
-                pd.IdentifyingConcept = prompt;
                 yield return pd;
             }
         }
diff --git a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
index f494b92..65fb00d 100644
--- a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
+++ b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
@@ -13,24 +13,26 @@ public class ClaudeRewriteStep : ITransformationStep
         private string _suffix { get; set; }
         private ClaudeService _claudeService { get; set; }
         private decimal _temperature { get; set; }
+        private MultiClientRunStats _stats { get; set; }
 
         public string Name => nameof(ClaudeRewriteStep);
 
-        public ClaudeRewriteStep(string prefix, string suffix, ClaudeService svc, decimal temperature)
+        public ClaudeRewriteStep(string prefix, string suffix, ClaudeService svc, decimal temperature, MultiClientRunStats stats)
         {
             _claudeService = svc;
             _prefix = prefix;
             _suffix = suffix;
             _temperature = temperature;
+            _stats = stats;
         }
 
-        public async Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
+        public async Task<bool> DoTransformation(PromptDetails pd)
         {
             var preparedClaudePrompt = $"{_prefix}\nHere is the topic:\n'{pd.Prompt}'\n{_suffix}".Trim();
             var preparedClaudePromptWithTemp = $"temp={_temperature} {preparedClaudePrompt}";
             pd.ReplacePrompt(preparedClaudePrompt, preparedClaudePromptWithTemp, TransformationType.ClaudeRewriteRequest);
 
-            var response = await _claudeService.RewritePromptAsync(pd, stats, _temperature);
+            var response = await _claudeService.RewritePromptAsync(pd, _temperature);
             if (!response.IsSuccess)
             {
                 Logger.Log($"\tClaude fail so reverting FROM: {pd.Show()}");
diff --git a/MultiImageClient/promptTransformation/IImageGenerator.cs b/MultiImageClient/promptTransformation/IImageGenerator.cs
new file mode 100644
index 0000000..bbe1ad6
--- /dev/null
+++ b/MultiImageClient/promptTransformation/IImageGenerator.cs
@@ -0,0 +1,28 @@
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    /// <summary>
+    /// you can configure and create it (with a _service).
+    /// so say you want a "landscape anime" image maker based on bfl and another like square and another depending on what claude thinks. you just make one generator for each then as you get your prompts, you send it in.
+    /// you can make them all at first or as you go. The point is that we preconfigure everything?
+    /// a thing you can send a prompt to, and get back a TaskProcessResult
+    /// 
+    /// so, they should have already been created with the options set how you'd like them to be sent out.
+    /// </summary>
+    public interface IImageGenerator
+    {
+        public abstract Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails);
+
+        /// when this jobspec is run, how should it be mapped to the filename?
+        public abstract string GetFilenamePart(PromptDetails pd);
+
+        /// return png bytes that wide and freely as tall as you want, with all the label stuff for yourself.
+        public abstract Bitmap GetLabelBitmap(int width);
+    }
+}
diff --git a/MultiImageClient/promptTransformation/ManualModificationStep.cs b/MultiImageClient/promptTransformation/ManualModificationStep.cs
index 4a9bb56..261f354 100644
--- a/MultiImageClient/promptTransformation/ManualModificationStep.cs
+++ b/MultiImageClient/promptTransformation/ManualModificationStep.cs
@@ -7,13 +7,15 @@ public class ManualModificationStep : ITransformationStep
         public string Name => nameof(ManualModificationStep);
         private string Prefix { get; set; }
         private string Suffix { get; set; }
-        public ManualModificationStep(string prefix, string suffix)
+        private MultiClientRunStats _stats { get; set; }
+        public ManualModificationStep(string prefix, string suffix, MultiClientRunStats stats)
         {
             Prefix = prefix;
             Suffix = suffix;
+            _stats = stats;
         }
 
-        public Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
+        public Task<bool> DoTransformation(PromptDetails pd)
         {
             var newp = $"{Prefix} {pd.Prompt} {Suffix}".Trim();
             pd.ReplacePrompt(newp, newp, TransformationType.ManualSuffixation);
diff --git a/MultiImageClient/promptTransformation/RandomizerStep.cs b/MultiImageClient/promptTransformation/RandomizerStep.cs
index 6aaefaf..db4dfe2 100644
--- a/MultiImageClient/promptTransformation/RandomizerStep.cs
+++ b/MultiImageClient/promptTransformation/RandomizerStep.cs
@@ -215,7 +215,7 @@ private string GetRandomSampling()
             return string.Join(", ", sampledAliases);
         }
 
-        public Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
+        public Task<bool> DoTransformation(PromptDetails pd)
         {
             var randoms = GetRandomSampling();
             var newVersion = $"'{pd.Prompt}' {randoms}";
diff --git a/MultiImageClient/promptTransformation/StylizerStep.cs b/MultiImageClient/promptTransformation/StylizerStep.cs
index 936882c..d966ebf 100644
--- a/MultiImageClient/promptTransformation/StylizerStep.cs
+++ b/MultiImageClient/promptTransformation/StylizerStep.cs
@@ -21,7 +21,7 @@ public static string GetRandomArtist()
             return artists.OrderBy(el => random.Next()).ToList().First().Trim();
         }
 
-        public Task<bool> DoTransformation(PromptDetails pd, MultiClientRunStats stats)
+        public Task<bool> DoTransformation(PromptDetails pd)
         {
             var artist = GetRandomArtist();
             var newVersion = $"In the style of {artist}, {pd.Prompt}";
diff --git a/RecraftAPI/RecraftDetails.cs b/RecraftAPI/RecraftDetails.cs
index f785545..d7549fc 100644
--- a/RecraftAPI/RecraftDetails.cs
+++ b/RecraftAPI/RecraftDetails.cs
@@ -1,42 +1,17 @@
 using MultiImageClient;
 
+using System;
+
 namespace RecraftAPIClient
 {
     public class RecraftDetails : IDetails
     {
+        private static Random _Random = new Random();
         public RecraftImageSize size { get; set; }
         public string style { get; set; } = "";
         public string substyle { get; set; } = "";
-
         public RecraftDetails() { }
 
-        public string GetFullStyleName()
-        {
-            switch (style)
-            {
-                case "digital_illustration":
-                    return $"{nameof(RecraftStyle.digital_illustration)} - {substyle}";
-                case "realistic_image":
-                    return $"{nameof(RecraftStyle.realistic_image)} - {substyle}";
-                case "vector_illustration":
-                    return $"{nameof(RecraftStyle.vector_illustration)} - {substyle}";
-                case "any":
-                    return "Any Style";
-                default:
-                    return "Unknown";
-            }
-        }
-
-        public string GetDescription()
-        {
-            return $"{size}-{style}-{substyle}";
-        }
-
-        public RecraftDetails(RecraftDetails other)
-        {
-            size = other.size;
-            substyle = other.substyle;
-            style = other.style;
-        }
+        
     }
 }

From 96af0035cb937668e398e17856d27ee43b50a51b Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Sun, 14 Sep 2025 22:40:53 -0700
Subject: [PATCH 14/78] fixing weird class

---
 MultiImageClient/Services/BFLGenerator.cs     | 320 +++++++++---------
 MultiImageClient/Services/Dalle3Generator.cs  | 178 +++++-----
 .../Services/GptImageOneGenerator.cs          | 220 ++++++------
 .../Services/IdeogramGenerator.cs             | 194 +++++------
 MultiImageClient/Services/RecraftGenerator.cs | 298 ++++++++--------
 .../ReadAllPromptsFromFile.cs                 | 164 ++++-----
 .../promptTransformation/IImageGenerator.cs   |  56 +--
 7 files changed, 715 insertions(+), 715 deletions(-)

diff --git a/MultiImageClient/Services/BFLGenerator.cs b/MultiImageClient/Services/BFLGenerator.cs
index d18a32e..4debc51 100644
--- a/MultiImageClient/Services/BFLGenerator.cs
+++ b/MultiImageClient/Services/BFLGenerator.cs
@@ -1,161 +1,161 @@
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-using MultiImageClient;
-
-using System;
-using System.Drawing;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class BFLGenerator : IImageGenerator
-    {
-        private SemaphoreSlim _bflSemaphore;
-        private BFLClient _bflClient;
-        private HttpClient _httpClient;
-        private MultiClientRunStats _stats;
-        private string _aspectRatio = "1:1";
-        private bool _promptUpsampling = false;
-        private int _width { get; set; }
-        private int _height { get; set; }
-        private ImageGeneratorApiType _apiType { get; }
-
-        public BFLGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency, MultiClientRunStats stats, bool useUltra, string aspectRatio, bool promptUpscaling, int width, int height)
-        {
-            _apiType = apiType;
-            _bflClient = new BFLClient(apiKey);
-            _bflSemaphore = new SemaphoreSlim(maxConcurrency);
-            _httpClient = new HttpClient();
-            _stats = stats;
-            _aspectRatio = aspectRatio;
-            _promptUpsampling = promptUpscaling;
-            _width = width;
-            _height = height;
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
-        {
-            await _bflSemaphore.WaitAsync();
-
-            try
-            {
-                GenerationResponse generationResponse = null;
-                if (_apiType == ImageGeneratorApiType.BFLv11)
-                {
-                    var request = new FluxPro11Request
-                    {
-                        Prompt = promptDetails.Prompt,
-                        Width = _width,
-                        Height = _height,
-                        PromptUpsampling = _promptUpsampling,
-                        SafetyTolerance = 6
-                    };
-
-                    generationResponse = await _bflClient.GenerateFluxPro11Async(request); 
-                }
-                else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
-                {
-                    var request2 = new FluxPro11UltraRequest
-                    {
-                        Prompt = promptDetails.Prompt,
-                        AspectRatio = _aspectRatio,
-                        PromptUpsampling = _promptUpsampling,
-                        SafetyTolerance = 6
-                    };
-                    generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request2);
-                }
-                else
-                {
-                    Console.WriteLine("error.");
-                }
-
-
-                _stats.BFLImageGenerationRequestCount++;
-
-                Logger.Log($"{promptDetails} From BFL: '{generationResponse.Status}'");
-
-                // this is where we handle generator-specific error types.
-                if (generationResponse.Status != "Ready")
-                {
-                    var baseResponse = new TaskProcessResult { IsSuccess = false, PromptDetails = promptDetails, ImageGenerator = _apiType, ErrorMessage = generationResponse.Status };
-                    if (generationResponse.Status == "Content Moderated")
-                    {
-                        _stats.BFLImageGenerationErrorCount++;
-                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.ContentModerated;
-                        return baseResponse;
-                    }
-                    else if (generationResponse.Status == "Request Moderated")
-                    {
-                        _stats.BFLImageGenerationErrorCount++;
-                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated;
-                        return baseResponse;
-
-                    }
-                    else
-                    {
-                        // also you have to handle the out of money case.
-                        _stats.BFLImageGenerationErrorCount++;
-                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.Unknown;
-                        return baseResponse;
-                    }
-
-                }
-                else
-                {
-                    Logger.Log($"{promptDetails} BFL image generated: {generationResponse.Result.Sample}");
-                    _stats.BFLImageGenerationRequestCount++;
-                    var returnedPrompt = generationResponse.Result.Prompt.Trim();
-                    if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
-                    {
-                        //BFL replaced the prompt. It actually happens!
-                        promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
-                    }
-
-                    var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, generationResponse.Result.Sample));
-                    var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-                    return new TaskProcessResult { IsSuccess = true, Url = generationResponse.Result.Sample, ContentType = contentType, PromptDetails = promptDetails, ImageGenerator = _apiType };
-                }
-
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"{promptDetails} BFL error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFLv11 };
-            }
-            finally
-            {
-                _bflSemaphore.Release();
-            }
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var res = $"";
-            if (_apiType == ImageGeneratorApiType.BFLv11)
-            {
-                var ups = _promptUpsampling ? "_up" : "";
-                res = $"{res} {_height}x{_width}{ups}";
-            }
-            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
-            {
-                var ups = _promptUpsampling ? "_up" : "";
-                res = $"{_aspectRatio}{ups}";
-            }
-            else
-            {
-                throw new Exception("X");
-            }
-                
-            return res;
-        }
-
-        public Bitmap GetLabelBitmap(int width)
-        {
-            throw new NotImplementedException();
-        }
-    }
+using BFLAPIClient;
+
+using IdeogramAPIClient;
+
+using MultiImageClient;
+
+using System;
+using System.Drawing;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class BFLGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _bflSemaphore;
+        private BFLClient _bflClient;
+        private HttpClient _httpClient;
+        private MultiClientRunStats _stats;
+        private string _aspectRatio = "1:1";
+        private bool _promptUpsampling = false;
+        private int _width { get; set; }
+        private int _height { get; set; }
+        private ImageGeneratorApiType _apiType { get; }
+
+        public BFLGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency, MultiClientRunStats stats, bool useUltra, string aspectRatio, bool promptUpscaling, int width, int height)
+        {
+            _apiType = apiType;
+            _bflClient = new BFLClient(apiKey);
+            _bflSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
+            _stats = stats;
+            _aspectRatio = aspectRatio;
+            _promptUpsampling = promptUpscaling;
+            _width = width;
+            _height = height;
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        {
+            await _bflSemaphore.WaitAsync();
+
+            try
+            {
+                GenerationResponse generationResponse = null;
+                if (_apiType == ImageGeneratorApiType.BFLv11)
+                {
+                    var request = new FluxPro11Request
+                    {
+                        Prompt = promptDetails.Prompt,
+                        Width = _width,
+                        Height = _height,
+                        PromptUpsampling = _promptUpsampling,
+                        SafetyTolerance = 6
+                    };
+
+                    generationResponse = await _bflClient.GenerateFluxPro11Async(request); 
+                }
+                else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
+                {
+                    var request2 = new FluxPro11UltraRequest
+                    {
+                        Prompt = promptDetails.Prompt,
+                        AspectRatio = _aspectRatio,
+                        PromptUpsampling = _promptUpsampling,
+                        SafetyTolerance = 6
+                    };
+                    generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request2);
+                }
+                else
+                {
+                    Console.WriteLine("error.");
+                }
+
+
+                _stats.BFLImageGenerationRequestCount++;
+
+                Logger.Log($"{promptDetails} From BFL: '{generationResponse.Status}'");
+
+                // this is where we handle generator-specific error types.
+                if (generationResponse.Status != "Ready")
+                {
+                    var baseResponse = new TaskProcessResult { IsSuccess = false, PromptDetails = promptDetails, ImageGenerator = _apiType, ErrorMessage = generationResponse.Status };
+                    if (generationResponse.Status == "Content Moderated")
+                    {
+                        _stats.BFLImageGenerationErrorCount++;
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.ContentModerated;
+                        return baseResponse;
+                    }
+                    else if (generationResponse.Status == "Request Moderated")
+                    {
+                        _stats.BFLImageGenerationErrorCount++;
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated;
+                        return baseResponse;
+
+                    }
+                    else
+                    {
+                        // also you have to handle the out of money case.
+                        _stats.BFLImageGenerationErrorCount++;
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.Unknown;
+                        return baseResponse;
+                    }
+
+                }
+                else
+                {
+                    Logger.Log($"{promptDetails} BFL image generated: {generationResponse.Result.Sample}");
+                    _stats.BFLImageGenerationRequestCount++;
+                    var returnedPrompt = generationResponse.Result.Prompt.Trim();
+                    if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
+                    {
+                        //BFL replaced the prompt. It actually happens!
+                        promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
+                    }
+
+                    var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, generationResponse.Result.Sample));
+                    var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+                    return new TaskProcessResult { IsSuccess = true, Url = generationResponse.Result.Sample, ContentType = contentType, PromptDetails = promptDetails, ImageGenerator = _apiType };
+                }
+
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"{promptDetails} BFL error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFLv11 };
+            }
+            finally
+            {
+                _bflSemaphore.Release();
+            }
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"";
+            if (_apiType == ImageGeneratorApiType.BFLv11)
+            {
+                var ups = _promptUpsampling ? "_up" : "";
+                res = $"{res} {_height}x{_width}{ups}";
+            }
+            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
+            {
+                var ups = _promptUpsampling ? "_up" : "";
+                res = $"{_aspectRatio}{ups}";
+            }
+            else
+            {
+                throw new Exception("X");
+            }
+                
+            return res;
+        }
+
+        public Bitmap GetLabelBitmap(int width)
+        {
+            throw new NotImplementedException();
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/Services/Dalle3Generator.cs
index 1a5f80f..84addbc 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -1,90 +1,90 @@
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-
-using OpenAI;
-using OpenAI.Images;
-using OpenAI.Models;
-
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.IO;
-using System.Net.Http;
-using System.Reflection;
-
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-
-    public class Dalle3Generator : IImageGenerator
-    {
-        private SemaphoreSlim _dalle3Semaphore;
-        private ImageClient _openAIImageClient;
-        private MultiClientRunStats _stats;
-
-        public Dalle3Generator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
-        {
-            var openAIClient = new OpenAIClient(apiKey);
-            _openAIImageClient = openAIClient.GetImageClient("dall-e-3");
-            _dalle3Semaphore = new SemaphoreSlim(maxConcurrency);
-            _stats = stats;
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var res = $"";
-            return res;
-        }
-
-        public Bitmap GetLabelBitmap(int width)
-        {
-            throw new NotImplementedException();
-        }
-
-        /// it's rather annoying that we still have to send in the original pd. we do that because here is where we notice things like "de3 modified or banned the text, etc."
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
-        {
-            await _dalle3Semaphore.WaitAsync();
-            try
-            {
-                _stats.Dalle3RequestCount++;
-                //det.Size = GeneratedImageSize.W1024xH1024;
-
-                var det = new ImageGenerationOptions()
-                {
-                    Quality = GeneratedImageQuality.High,
-                    Size = GeneratedImageSize.W1024xH1024
-                };
-
-                var res = await _openAIImageClient.GenerateImageAsync(promptDetails.Prompt, det);
-                var uri = res.Value.ImageUri;
-                var revisedPrompt = res.Value.RevisedPrompt;
-                if (revisedPrompt != promptDetails.Prompt)
-                {
-                    promptDetails.ReplacePrompt(revisedPrompt, revisedPrompt, TransformationType.Dalle3Rewrite);
-                }
-                return new TaskProcessResult { IsSuccess = true, Url = uri.ToString(), ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
-            }
-            catch (Exception ex)
-            {
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
-            }
-            finally
-            {
-                _dalle3Semaphore.Release();
-            }
-
-        }
-
-    }
+using Anthropic.SDK;
+using Anthropic.SDK.Constants;
+using Anthropic.SDK.Messaging;
+
+using BFLAPIClient;
+
+using IdeogramAPIClient;
+
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+
+using OpenAI;
+using OpenAI.Images;
+using OpenAI.Models;
+
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.IO;
+using System.Net.Http;
+using System.Reflection;
+
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+
+    public class Dalle3Generator : IImageGenerator
+    {
+        private SemaphoreSlim _dalle3Semaphore;
+        private ImageClient _openAIImageClient;
+        private MultiClientRunStats _stats;
+
+        public Dalle3Generator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
+        {
+            var openAIClient = new OpenAIClient(apiKey);
+            _openAIImageClient = openAIClient.GetImageClient("dall-e-3");
+            _dalle3Semaphore = new SemaphoreSlim(maxConcurrency);
+            _stats = stats;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"";
+            return res;
+        }
+
+        public Bitmap GetLabelBitmap(int width)
+        {
+            throw new NotImplementedException();
+        }
+
+        /// it's rather annoying that we still have to send in the original pd. we do that because here is where we notice things like "de3 modified or banned the text, etc."
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        {
+            await _dalle3Semaphore.WaitAsync();
+            try
+            {
+                _stats.Dalle3RequestCount++;
+                //det.Size = GeneratedImageSize.W1024xH1024;
+
+                var det = new ImageGenerationOptions()
+                {
+                    Quality = GeneratedImageQuality.High,
+                    Size = GeneratedImageSize.W1024xH1024
+                };
+
+                var res = await _openAIImageClient.GenerateImageAsync(promptDetails.Prompt, det);
+                var uri = res.Value.ImageUri;
+                var revisedPrompt = res.Value.RevisedPrompt;
+                if (revisedPrompt != promptDetails.Prompt)
+                {
+                    promptDetails.ReplacePrompt(revisedPrompt, revisedPrompt, TransformationType.Dalle3Rewrite);
+                }
+                return new TaskProcessResult { IsSuccess = true, Url = uri.ToString(), ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
+            }
+            catch (Exception ex)
+            {
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
+            }
+            finally
+            {
+                _dalle3Semaphore.Release();
+            }
+
+        }
+
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/GptImageOneGenerator.cs b/MultiImageClient/Services/GptImageOneGenerator.cs
index d6eb9dd..70f50d6 100644
--- a/MultiImageClient/Services/GptImageOneGenerator.cs
+++ b/MultiImageClient/Services/GptImageOneGenerator.cs
@@ -1,111 +1,111 @@
-
-using OpenAI.Images;
-
-using System;
-using System.ClientModel;
-using System.Collections.Generic;
-
-using System.Net.Http;
-using System.Net.Http.Headers;
-using System.Reflection;
-
-using System.Threading;
-using System.Threading.Tasks;
-using System.Text;
-using System.Text.Json;
-using System.Diagnostics;
-using System.Drawing;
-
-namespace MultiImageClient
-{
-    public class GptImageOneGenerator : IImageGenerator
-    {
-        private SemaphoreSlim _gptImageOneSemaphore;
-        static readonly HttpClient http = new HttpClient();
-        private MultiClientRunStats _stats;
-
-        public GptImageOneGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
-        {
-            _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
-            _stats = stats;
-            http.DefaultRequestHeaders.Authorization =
-                new AuthenticationHeaderValue("Bearer", apiKey);
-        }
-
-
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var res = $"";
-            return res;
-        }
-
-        public Bitmap GetLabelBitmap(int width)
-        {
-            throw new NotImplementedException();
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
-        {
-            await _gptImageOneSemaphore.WaitAsync();
-            var sw = Stopwatch.StartNew();
-            try
-            {
-                _stats.GptImageOneRequestCount++;
-                var genOptions = new ImageGenerationOptions();
-                genOptions.Quality = "high";
-
-                var body = new
-                {
-                    model = "gpt-image-1",
-                    prompt = promptDetails.Prompt,
-                    moderation = "low",
-                    quality = "high",
-                    n = 1,
-                    size = "auto",
-                };
-
-                using var content = new StringContent(
-                    System.Text.Json.JsonSerializer.Serialize(body),
-                    Encoding.UTF8,
-                    "application/json");
-
-                using var resp = await http.PostAsync(
-                    "https://api.openai.com/v1/images/generations",
-                    content);
-
-                if (!resp.IsSuccessStatusCode)
-                {
-                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
-                }
-                resp.EnsureSuccessStatusCode();
-
-                var json = await resp.Content.ReadAsStringAsync();
-                //await File.WriteAllTextAsync("response.json", json);
-                using var doc = JsonDocument.Parse(json);
-                var qq = doc.RootElement.GetProperty("data");
-                var ll = qq.GetArrayLength();
-                var b64s = new List<string>();
-                foreach (var el in qq.EnumerateArray())
-                {
-                    var b64 = el.GetProperty("b64_json").GetString();
-                    b64s.Add(b64);
-                }
-
-
-                Console.WriteLine($"Generated:{promptDetails.Prompt}");
-                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s, Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
-            }
-            catch (Exception ex)
-            {
-                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
-            }
-            finally
-            {
-                _gptImageOneSemaphore.Release();
-            }
-        }
-
-    }
+
+using OpenAI.Images;
+
+using System;
+using System.ClientModel;
+using System.Collections.Generic;
+
+using System.Net.Http;
+using System.Net.Http.Headers;
+using System.Reflection;
+
+using System.Threading;
+using System.Threading.Tasks;
+using System.Text;
+using System.Text.Json;
+using System.Diagnostics;
+using System.Drawing;
+
+namespace MultiImageClient
+{
+    public class GptImageOneGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _gptImageOneSemaphore;
+        static readonly HttpClient http = new HttpClient();
+        private MultiClientRunStats _stats;
+
+        public GptImageOneGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
+        {
+            _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
+            _stats = stats;
+            http.DefaultRequestHeaders.Authorization =
+                new AuthenticationHeaderValue("Bearer", apiKey);
+        }
+
+
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"";
+            return res;
+        }
+
+        public Bitmap GetLabelBitmap(int width)
+        {
+            throw new NotImplementedException();
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        {
+            await _gptImageOneSemaphore.WaitAsync();
+            var sw = Stopwatch.StartNew();
+            try
+            {
+                _stats.GptImageOneRequestCount++;
+                var genOptions = new ImageGenerationOptions();
+                genOptions.Quality = "high";
+
+                var body = new
+                {
+                    model = "gpt-image-1",
+                    prompt = promptDetails.Prompt,
+                    moderation = "low",
+                    quality = "high",
+                    n = 1,
+                    size = "auto",
+                };
+
+                using var content = new StringContent(
+                    System.Text.Json.JsonSerializer.Serialize(body),
+                    Encoding.UTF8,
+                    "application/json");
+
+                using var resp = await http.PostAsync(
+                    "https://api.openai.com/v1/images/generations",
+                    content);
+
+                if (!resp.IsSuccessStatusCode)
+                {
+                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
+                }
+                resp.EnsureSuccessStatusCode();
+
+                var json = await resp.Content.ReadAsStringAsync();
+                //await File.WriteAllTextAsync("response.json", json);
+                using var doc = JsonDocument.Parse(json);
+                var qq = doc.RootElement.GetProperty("data");
+                var ll = qq.GetArrayLength();
+                var b64s = new List<string>();
+                foreach (var el in qq.EnumerateArray())
+                {
+                    var b64 = el.GetProperty("b64_json").GetString();
+                    b64s.Add(b64);
+                }
+
+
+                Console.WriteLine($"Generated:{promptDetails.Prompt}");
+                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s, Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+            }
+            finally
+            {
+                _gptImageOneSemaphore.Release();
+            }
+        }
+
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/IdeogramGenerator.cs b/MultiImageClient/Services/IdeogramGenerator.cs
index 35e984c..395fd99 100644
--- a/MultiImageClient/Services/IdeogramGenerator.cs
+++ b/MultiImageClient/Services/IdeogramGenerator.cs
@@ -1,98 +1,98 @@
-using IdeogramAPIClient;
-
-using System;
-using System.Drawing;
-using System.Drawing.Drawing2D;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class IdeogramGenerator : IImageGenerator
-    {
-        private SemaphoreSlim _ideogramSemaphore;
-        private IdeogramClient _ideogramClient;
-        private HttpClient _httpClient = new HttpClient();
-        private MultiClientRunStats _stats;
-        private IdeogramMagicPromptOption _magicPrompt;
-        private IdeogramAspectRatio _aspectRatio;
-        private IdeogramStyleType _ideoGramStyleType;
-
-        public IdeogramGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats, IdeogramMagicPromptOption magicPrompt, IdeogramAspectRatio aspectRatio, IdeogramStyleType styleType)
-        {
-            _ideogramClient = new IdeogramClient(apiKey);
-            _ideogramSemaphore = new SemaphoreSlim(maxConcurrency);
-            _magicPrompt = magicPrompt;
-            _aspectRatio = aspectRatio;
-            _ideoGramStyleType = styleType;
-            _stats = stats;
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var res = $"magic_{_magicPrompt.ToString()} ar_{_aspectRatio.ToString()} style_{_ideoGramStyleType.ToString()}";
-
-            return res;
-        }
-
-        public Bitmap GetLabelBitmap(int width)
-        {
-            throw new NotImplementedException();
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
-        {
-            await _ideogramSemaphore.WaitAsync();
-            try
-            {
-                var ideogramDetails = new IdeogramDetails
-                {
-                    AspectRatio = _aspectRatio,
-                    Model = IdeogramModel.V_2,
-                    MagicPromptOption = _magicPrompt,
-                    StyleType = _ideoGramStyleType
-                };
-
-                var request = new IdeogramGenerateRequest(promptDetails.Prompt, ideogramDetails);
-
-                _stats.IdeogramRequestCount++;
-                GenerateResponse response = await _ideogramClient.GenerateImageAsync(request);
-                if (response?.Data?.Count == 1)
-                {
-                    foreach (var imageObject in response.Data)
-                    {
-                        //there is only actually one ever.
-                        var returnedPrompt = imageObject.Prompt;
-                        if (returnedPrompt != promptDetails.Prompt)
-                        {
-                            //Ideogram replaced the prompt.
-                            promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.IdeogramRewrite);
-                        }
-                        var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, imageObject.Url));
-                        var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-                        return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram };
-                    }
-                    throw new Exception("No images returned");
-                }
-                else if (response?.Data?.Count >= 1)
-                {
-                    throw new Exception("Multiple images returned? I can't handle this! Who knew!");
-                }
-                else
-                {
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = "No images generated", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated };
-                }
-            }
-
-            catch (Exception ex)
-            {
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
-            }
-            finally
-            {
-                _ideogramSemaphore.Release();
-            }
-        }
-    }
+using IdeogramAPIClient;
+
+using System;
+using System.Drawing;
+using System.Drawing.Drawing2D;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class IdeogramGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _ideogramSemaphore;
+        private IdeogramClient _ideogramClient;
+        private HttpClient _httpClient = new HttpClient();
+        private MultiClientRunStats _stats;
+        private IdeogramMagicPromptOption _magicPrompt;
+        private IdeogramAspectRatio _aspectRatio;
+        private IdeogramStyleType _ideoGramStyleType;
+
+        public IdeogramGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats, IdeogramMagicPromptOption magicPrompt, IdeogramAspectRatio aspectRatio, IdeogramStyleType styleType)
+        {
+            _ideogramClient = new IdeogramClient(apiKey);
+            _ideogramSemaphore = new SemaphoreSlim(maxConcurrency);
+            _magicPrompt = magicPrompt;
+            _aspectRatio = aspectRatio;
+            _ideoGramStyleType = styleType;
+            _stats = stats;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"magic_{_magicPrompt.ToString()} ar_{_aspectRatio.ToString()} style_{_ideoGramStyleType.ToString()}";
+
+            return res;
+        }
+
+        public Bitmap GetLabelBitmap(int width)
+        {
+            throw new NotImplementedException();
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        {
+            await _ideogramSemaphore.WaitAsync();
+            try
+            {
+                var ideogramDetails = new IdeogramDetails
+                {
+                    AspectRatio = _aspectRatio,
+                    Model = IdeogramModel.V_2,
+                    MagicPromptOption = _magicPrompt,
+                    StyleType = _ideoGramStyleType
+                };
+
+                var request = new IdeogramGenerateRequest(promptDetails.Prompt, ideogramDetails);
+
+                _stats.IdeogramRequestCount++;
+                GenerateResponse response = await _ideogramClient.GenerateImageAsync(request);
+                if (response?.Data?.Count == 1)
+                {
+                    foreach (var imageObject in response.Data)
+                    {
+                        //there is only actually one ever.
+                        var returnedPrompt = imageObject.Prompt;
+                        if (returnedPrompt != promptDetails.Prompt)
+                        {
+                            //Ideogram replaced the prompt.
+                            promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.IdeogramRewrite);
+                        }
+                        var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, imageObject.Url));
+                        var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+                        return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram };
+                    }
+                    throw new Exception("No images returned");
+                }
+                else if (response?.Data?.Count >= 1)
+                {
+                    throw new Exception("Multiple images returned? I can't handle this! Who knew!");
+                }
+                else
+                {
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = "No images generated", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated };
+                }
+            }
+
+            catch (Exception ex)
+            {
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
+            }
+            finally
+            {
+                _ideogramSemaphore.Release();
+            }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/RecraftGenerator.cs b/MultiImageClient/Services/RecraftGenerator.cs
index 22b28ba..9a50669 100644
--- a/MultiImageClient/Services/RecraftGenerator.cs
+++ b/MultiImageClient/Services/RecraftGenerator.cs
@@ -1,149 +1,149 @@
-using RecraftAPIClient;
-
-using SixLabors.ImageSharp;
-
-using System;
-using System.Drawing;
-using System.Linq;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class RecraftGenerator : IImageGenerator
-    {
-        private SemaphoreSlim _recraftSemaphore;
-        private RecraftClient _recraftClient;
-        private HttpClient _httpClient;
-        private MultiClientRunStats _stats;
-        private static Random _Random = new Random();
-
-        public RecraftGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
-        {
-            _recraftClient = new RecraftClient(apiKey);
-            _recraftSemaphore = new SemaphoreSlim(maxConcurrency);
-            _httpClient = new HttpClient();
-            _stats = stats;
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var res = $"";
-            return res;
-            //components.Add(result.PromptDetails.RecraftDetails.style.ToString());
-            //components.Add(result.PromptDetails.RecraftDetails.substyle.ToString());
-        }
-
-        public Bitmap GetLabelBitmap(int width)
-        {
-            throw new NotImplementedException();
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync( PromptDetails promptDetails)
-        {
-            await _recraftSemaphore.WaitAsync();
-            try
-            {
-                _stats.RecraftImageGenerationRequestCount++;
-                var usingPrompt = promptDetails.Prompt;
-                if (usingPrompt.Length > 1000)
-                {
-                    usingPrompt = usingPrompt.Substring(0, 990);
-                    Logger.Log("Truncating the prompt for Recraft.");
-                }
-                var recraftDetails = GetRandomRecraftStyleAndSubstyleDetails();
-
-                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, recraftDetails);
-                Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
-                _stats.RecraftImageGenerationSuccessCount++;
-                var theUrl = generationResult.Data[0].Url;
-
-                var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, theUrl));
-                var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-
-                return new TaskProcessResult
-                {
-                    IsSuccess = true,
-                    Url = theUrl,
-                    ContentType = contentType,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = ImageGeneratorApiType.Recraft
-                };
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Recraft error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft };
-            }
-            finally
-            {
-                _recraftSemaphore.Release();
-            }
-        }
-
-        public static RecraftDetails GetRandomRecraftStyleAndSubstyleDetails()
-        {
-            var details = new RecraftDetails
-            {
-                size = RecraftImageSize._1536x1024
-            };
-
-            // Randomly select one of the three main styles
-            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
-            details.style = styles[_Random.Next(styles.Count)].ToString();
-
-            // Based on chosen style, select appropriate substyle
-
-            bool coinFlip = true;
-
-            switch (details.style)
-            {
-                case "digital_illustration":
-                    var digitalStyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles))
-                        .Cast<RecraftDigitalIllustrationSubstyles>().ToList();
-                    if (coinFlip)
-                    {
-                        details.substyle = digitalStyles[_Random.Next(digitalStyles.Count)].ToString();
-                    }
-                    break;
-
-                case "realistic_image":
-                    var realisticStyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyles))
-                        .Cast<RecraftRealisticImageSubstyles>().ToList();
-                    if (coinFlip)
-                    {
-                        details.substyle = realisticStyles[_Random.Next(realisticStyles.Count)].ToString();
-                    }
-                    break;
-
-                case "vector_illustration":
-                    var vectorStyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles))
-                        .Cast<RecraftVectorIllustrationSubstyles>().ToList();
-                    if (coinFlip)
-                    {
-                        details.substyle = vectorStyles[_Random.Next(vectorStyles.Count)].ToString();
-                    }
-                    break;
-            }
-
-            return details;
-        }
-        public string GetFullStyleName(string style, string substyle)
-        {
-            switch (style)
-            {
-                case "digital_illustration":
-                    return $"{nameof(RecraftStyle.digital_illustration)} - {substyle}";
-                case "realistic_image":
-                    return $"{nameof(RecraftStyle.realistic_image)} - {substyle}";
-                case "vector_illustration":
-                    return $"{nameof(RecraftStyle.vector_illustration)} - {substyle}";
-                case "any":
-                    return "Any Style";
-                default:
-                    return "Unknown";
-            }
-        }
-    }
-}
+using RecraftAPIClient;
+
+using SixLabors.ImageSharp;
+
+using System;
+using System.Drawing;
+using System.Linq;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class RecraftGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _recraftSemaphore;
+        private RecraftClient _recraftClient;
+        private HttpClient _httpClient;
+        private MultiClientRunStats _stats;
+        private static Random _Random = new Random();
+
+        public RecraftGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
+        {
+            _recraftClient = new RecraftClient(apiKey);
+            _recraftSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
+            _stats = stats;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"";
+            return res;
+            //components.Add(result.PromptDetails.RecraftDetails.style.ToString());
+            //components.Add(result.PromptDetails.RecraftDetails.substyle.ToString());
+        }
+
+        public Bitmap GetLabelBitmap(int width)
+        {
+            throw new NotImplementedException();
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync( PromptDetails promptDetails)
+        {
+            await _recraftSemaphore.WaitAsync();
+            try
+            {
+                _stats.RecraftImageGenerationRequestCount++;
+                var usingPrompt = promptDetails.Prompt;
+                if (usingPrompt.Length > 1000)
+                {
+                    usingPrompt = usingPrompt.Substring(0, 990);
+                    Logger.Log("Truncating the prompt for Recraft.");
+                }
+                var recraftDetails = GetRandomRecraftStyleAndSubstyleDetails();
+
+                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, recraftDetails);
+                Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
+                _stats.RecraftImageGenerationSuccessCount++;
+                var theUrl = generationResult.Data[0].Url;
+
+                var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, theUrl));
+                var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Url = theUrl,
+                    ContentType = contentType,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.Recraft
+                };
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Recraft error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft };
+            }
+            finally
+            {
+                _recraftSemaphore.Release();
+            }
+        }
+
+        public static RecraftDetails GetRandomRecraftStyleAndSubstyleDetails()
+        {
+            var details = new RecraftDetails
+            {
+                size = RecraftImageSize._1536x1024
+            };
+
+            // Randomly select one of the three main styles
+            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
+            details.style = styles[_Random.Next(styles.Count)].ToString();
+
+            // Based on chosen style, select appropriate substyle
+
+            bool coinFlip = true;
+
+            switch (details.style)
+            {
+                case "digital_illustration":
+                    var digitalStyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles))
+                        .Cast<RecraftDigitalIllustrationSubstyles>().ToList();
+                    if (coinFlip)
+                    {
+                        details.substyle = digitalStyles[_Random.Next(digitalStyles.Count)].ToString();
+                    }
+                    break;
+
+                case "realistic_image":
+                    var realisticStyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyles))
+                        .Cast<RecraftRealisticImageSubstyles>().ToList();
+                    if (coinFlip)
+                    {
+                        details.substyle = realisticStyles[_Random.Next(realisticStyles.Count)].ToString();
+                    }
+                    break;
+
+                case "vector_illustration":
+                    var vectorStyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles))
+                        .Cast<RecraftVectorIllustrationSubstyles>().ToList();
+                    if (coinFlip)
+                    {
+                        details.substyle = vectorStyles[_Random.Next(vectorStyles.Count)].ToString();
+                    }
+                    break;
+            }
+
+            return details;
+        }
+        public string GetFullStyleName(string style, string substyle)
+        {
+            switch (style)
+            {
+                case "digital_illustration":
+                    return $"{nameof(RecraftStyle.digital_illustration)} - {substyle}";
+                case "realistic_image":
+                    return $"{nameof(RecraftStyle.realistic_image)} - {substyle}";
+                case "vector_illustration":
+                    return $"{nameof(RecraftStyle.vector_illustration)} - {substyle}";
+                case "any":
+                    return "Any Style";
+                default:
+                    return "Unknown";
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs b/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
index e81a0a6..4689609 100644
--- a/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
+++ b/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
@@ -1,82 +1,82 @@
-using System;
-using System.Collections.Generic;
-using System.ComponentModel;
-using System.IO;
-using System.Linq;
-using System.Reflection.Metadata.Ecma335;
-
-namespace MultiImageClient
-{
-    // the most common method for getting prompts to test, just load them from a big file of old ones I have.
-    public class ReadAllPromptsFromFile : AbstractPromptSource
-    {
-        private string FilePath { get; set; }
-
-        public ReadAllPromptsFromFile(Settings settings, string path) : base(settings)
-        {
-            if (!string.IsNullOrEmpty(path) && File.Exists(path))
-            {
-                FilePath = path;
-            }
-            else
-            {
-                FilePath = "";
-            }
-        }
-
-        public override string Name => nameof(ReadAllPromptsFromFile);
-        public override int ImageCreationLimit => 100;
-        public override int CopiesPer => 1;
-        public override int FullyResolvedCopiesPer => 1;
-        public override bool RandomizeOrder => true;
-        public override string Prefix => "";
-        public override string Suffix => "";
-        public override IEnumerable<PromptDetails> Prompts
-        {
-            get
-            {
-                var sourceFPs = new List<string>() {
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\prompts3.txt"
-            };
-
-                if (!string.IsNullOrEmpty(FilePath))
-                {
-                    sourceFPs.Add(FilePath);
-                }
-
-                var allPromptsRaw = new List<string>();
-
-                foreach (var fp in sourceFPs)
-                {
-                    var items = File.ReadAllLines(fp).ToList();
-                    foreach (var usePrompt in items)
-                    {
-                        if (string.IsNullOrEmpty(usePrompt))
-                        {
-                            continue;
-                        }
-                        allPromptsRaw.Add(usePrompt);
-                    }
-                }
-
-                Logger.Log($"loaded {allPromptsRaw.Count} prompts total.");
-
-                for (var ii = 0; ii < ImageCreationLimit; ii++)
-                {
-                    var aa = Random.Shared.Next(0, allPromptsRaw.Count);
-                    var pd = new PromptDetails();
-                    var usePrompt = allPromptsRaw[aa];
-                    pd.ReplacePrompt(usePrompt, usePrompt, TransformationType.InitialPrompt);
-
-                    yield return pd;
-                }
-            }
-        }
-
-        
-    }
-}
-
+using System;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.IO;
+using System.Linq;
+using System.Reflection.Metadata.Ecma335;
+
+namespace MultiImageClient
+{
+    // the most common method for getting prompts to test, just load them from a big file of old ones I have.
+    public class ReadAllPromptsFromFile : AbstractPromptSource
+    {
+        private string FilePath { get; set; }
+
+        public ReadAllPromptsFromFile(Settings settings, string path) : base(settings)
+        {
+            if (!string.IsNullOrEmpty(path) && File.Exists(path))
+            {
+                FilePath = path;
+            }
+            else
+            {
+                FilePath = "";
+            }
+        }
+
+        public override string Name => nameof(ReadAllPromptsFromFile);
+        public override int ImageCreationLimit => 100;
+        public override int CopiesPer => 1;
+        public override int FullyResolvedCopiesPer => 1;
+        public override bool RandomizeOrder => true;
+        public override string Prefix => "";
+        public override string Suffix => "";
+        public override IEnumerable<PromptDetails> Prompts
+        {
+            get
+            {
+                var sourceFPs = new List<string>() {
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
+                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\prompts3.txt"
+            };
+
+                if (!string.IsNullOrEmpty(FilePath))
+                {
+                    sourceFPs.Add(FilePath);
+                }
+
+                var allPromptsRaw = new List<string>();
+
+                foreach (var fp in sourceFPs)
+                {
+                    var items = File.ReadAllLines(fp).ToList();
+                    foreach (var usePrompt in items)
+                    {
+                        if (string.IsNullOrEmpty(usePrompt))
+                        {
+                            continue;
+                        }
+                        allPromptsRaw.Add(usePrompt);
+                    }
+                }
+
+                Logger.Log($"loaded {allPromptsRaw.Count} prompts total.");
+
+                for (var ii = 0; ii < ImageCreationLimit; ii++)
+                {
+                    var aa = Random.Shared.Next(0, allPromptsRaw.Count);
+                    var pd = new PromptDetails();
+                    var usePrompt = allPromptsRaw[aa];
+                    pd.ReplacePrompt(usePrompt, usePrompt, TransformationType.InitialPrompt);
+
+                    yield return pd;
+                }
+            }
+        }
+
+        
+    }
+}
+
diff --git a/MultiImageClient/promptTransformation/IImageGenerator.cs b/MultiImageClient/promptTransformation/IImageGenerator.cs
index bbe1ad6..09596aa 100644
--- a/MultiImageClient/promptTransformation/IImageGenerator.cs
+++ b/MultiImageClient/promptTransformation/IImageGenerator.cs
@@ -1,28 +1,28 @@
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    /// <summary>
-    /// you can configure and create it (with a _service).
-    /// so say you want a "landscape anime" image maker based on bfl and another like square and another depending on what claude thinks. you just make one generator for each then as you get your prompts, you send it in.
-    /// you can make them all at first or as you go. The point is that we preconfigure everything?
-    /// a thing you can send a prompt to, and get back a TaskProcessResult
-    /// 
-    /// so, they should have already been created with the options set how you'd like them to be sent out.
-    /// </summary>
-    public interface IImageGenerator
-    {
-        public abstract Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails);
-
-        /// when this jobspec is run, how should it be mapped to the filename?
-        public abstract string GetFilenamePart(PromptDetails pd);
-
-        /// return png bytes that wide and freely as tall as you want, with all the label stuff for yourself.
-        public abstract Bitmap GetLabelBitmap(int width);
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    /// <summary>
+    /// you can configure and create it (with a _service).
+    /// so say you want a "landscape anime" image maker based on bfl and another like square and another depending on what claude thinks. you just make one generator for each then as you get your prompts, you send it in.
+    /// you can make them all at first or as you go. The point is that we preconfigure everything?
+    /// a thing you can send a prompt to, and get back a TaskProcessResult
+    /// 
+    /// so, they should have already been created with the options set how you'd like them to be sent out.
+    /// </summary>
+    public interface IImageGenerator
+    {
+        public abstract Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails);
+
+        /// when this jobspec is run, how should it be mapped to the filename?
+        public abstract string GetFilenamePart(PromptDetails pd);
+
+        /// return png bytes that wide and freely as tall as you want, with all the label stuff for yourself.
+        public abstract Bitmap GetLabelBitmap(int width);
+    }
+}

From 3bb780fa73c48768f92fc1e5fcef51d58d9e6998 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Mon, 15 Sep 2025 22:38:46 -0700
Subject: [PATCH 15/78] more fixing etc

---
 ...{IdeogramDetails.cs => IdeogramOptions.cs} |  49 ++--
 IdeogramAPI/Program.cs                        |   4 +-
 .../request/IdeogramGenerateRequest.cs        |   2 +-
 ImageGenerationClasses/IDetails.cs            |  12 -
 MultiImageClient/ImageManager.cs              |  11 +-
 .../Implementation/AbstractPromptSource.cs    |   2 +-
 .../Implementation/FileNameGenerator.cs       |  34 +--
 .../Implementation/ImageSaving.cs             | 216 ++++++++++++------
 .../Implementation/PromptDetails.cs           |  24 +-
 MultiImageClient/Implementation/SaveType.cs   |   1 +
 MultiImageClient/Program.cs                   | 107 +++++----
 .../SamePromptMultipleTargetsWorkflow.cs      |   3 +-
 MultiImageClient/Services/BFLGenerator.cs     |  77 ++++---
 MultiImageClient/Services/Dalle3Generator.cs  |  50 ++--
 .../Services/GptImageOneGenerator.cs          |  67 ++++--
 .../Services/IdeogramGenerator.cs             |  59 ++++-
 MultiImageClient/Services/RecraftGenerator.cs | 172 +++++++++-----
 .../promptGenerators/RecraftAllsStyles.cs     |  38 +--
 .../promptTransformation/IImageGenerator.cs   |   4 +-
 RecraftAPI/Program.cs                         |  12 -
 RecraftAPI/RecraftClient.cs                   |  25 +-
 RecraftAPI/RecraftDetails.cs                  |  17 --
 ... => RecraftDigitalIllustrationSubstyle.cs} |  88 +++----
 ...es.cs => RecraftRealisticImageSubstyle.cs} |  50 ++--
 ...s => RecraftVectorIllustrationSubstyle.cs} |  58 ++---
 25 files changed, 671 insertions(+), 511 deletions(-)
 rename IdeogramAPI/{IdeogramDetails.cs => IdeogramOptions.cs} (63%)
 delete mode 100644 ImageGenerationClasses/IDetails.cs
 delete mode 100644 RecraftAPI/RecraftDetails.cs
 rename RecraftAPI/{RecraftDigitalIllustrationSubstyles.cs => RecraftDigitalIllustrationSubstyle.cs} (91%)
 rename RecraftAPI/{RecraftRealisticImageSubstyles.cs => RecraftRealisticImageSubstyle.cs} (88%)
 rename RecraftAPI/{RecraftVectorIllustrationSubstyles.cs => RecraftVectorIllustrationSubstyle.cs} (88%)

diff --git a/IdeogramAPI/IdeogramDetails.cs b/IdeogramAPI/IdeogramOptions.cs
similarity index 63%
rename from IdeogramAPI/IdeogramDetails.cs
rename to IdeogramAPI/IdeogramOptions.cs
index 82001a0..bd8408f 100644
--- a/IdeogramAPI/IdeogramDetails.cs
+++ b/IdeogramAPI/IdeogramOptions.cs
@@ -1,28 +1,23 @@
-using MultiImageClient;
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramDetails:IDetails
-    {
-        public IdeogramAspectRatio? AspectRatio { get; set; }
-        public IdeogramModel Model { get; set; }
-        public IdeogramMagicPromptOption MagicPromptOption { get; set; }
-        public IdeogramStyleType? StyleType { get; set; }
-        public string NegativePrompt { get; set; }
-        
-        public IdeogramDetails() { }
-        public IdeogramDetails(IdeogramDetails other)
-        {
-            AspectRatio = other.AspectRatio;
-            Model = other.Model;
-            MagicPromptOption = other.MagicPromptOption;
-            StyleType = other.StyleType;
-            NegativePrompt = other.NegativePrompt;
-        }
-
-        public IDetails Clone()
-        {
-            throw new NotImplementedException();
-        }
-    }
+using MultiImageClient;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramOptions
+    {
+        public IdeogramAspectRatio? AspectRatio { get; set; }
+        public IdeogramModel Model { get; set; }
+        public IdeogramMagicPromptOption MagicPromptOption { get; set; }
+        public IdeogramStyleType? StyleType { get; set; }
+        public string NegativePrompt { get; set; } = "";
+
+        public IdeogramOptions() { }
+        public IdeogramOptions(IdeogramOptions other)
+        {
+            AspectRatio = other.AspectRatio;
+            Model = other.Model;
+            MagicPromptOption = other.MagicPromptOption;
+            StyleType = other.StyleType;
+            NegativePrompt = other.NegativePrompt;
+        }
+    }
 }
\ No newline at end of file
diff --git a/IdeogramAPI/Program.cs b/IdeogramAPI/Program.cs
index 4b816c2..d2e614b 100644
--- a/IdeogramAPI/Program.cs
+++ b/IdeogramAPI/Program.cs
@@ -56,10 +56,10 @@ static async Task<int> Main(string[] args)
             }
         }
 
-        private static async Task<GenerateResponse> RunAsync(CommandLineOptions opts)
+        private static async Task<GenerateResponse?> RunAsync(CommandLineOptions opts)
         {
             var client = new IdeogramClient(opts.ApiKey);
-            var ideogramDetails = new IdeogramDetails
+            var ideogramDetails = new IdeogramOptions
             {
                 AspectRatio = opts.AspectRatio,
                 Model = opts.Model,
diff --git a/IdeogramAPI/request/IdeogramGenerateRequest.cs b/IdeogramAPI/request/IdeogramGenerateRequest.cs
index f3c5bd8..4078b7d 100644
--- a/IdeogramAPI/request/IdeogramGenerateRequest.cs
+++ b/IdeogramAPI/request/IdeogramGenerateRequest.cs
@@ -7,7 +7,7 @@ namespace IdeogramAPIClient
 {
     public class IdeogramGenerateRequest
     {
-        public IdeogramGenerateRequest(string prompt, IdeogramDetails ideogramDetails)
+        public IdeogramGenerateRequest(string prompt, IdeogramOptions ideogramDetails)
         {
             Prompt = prompt;
             AspectRatio = ideogramDetails.AspectRatio;
diff --git a/ImageGenerationClasses/IDetails.cs b/ImageGenerationClasses/IDetails.cs
deleted file mode 100644
index e52b74c..0000000
--- a/ImageGenerationClasses/IDetails.cs
+++ /dev/null
@@ -1,12 +0,0 @@
-using System.Collections.Generic;
-using System.Drawing;
-
-namespace MultiImageClient
-{
-    public interface IDetails
-
-    {
-        
-    }
-}
- 
\ No newline at end of file
diff --git a/MultiImageClient/ImageManager.cs b/MultiImageClient/ImageManager.cs
index 63af902..78f5fbb 100644
--- a/MultiImageClient/ImageManager.cs
+++ b/MultiImageClient/ImageManager.cs
@@ -1,12 +1,13 @@
-using System;
+using Newtonsoft.Json;
+
+using System;
 using System.Collections.Generic;
 using System.Diagnostics;
 using System.IO;
+using System.Reflection.Emit;
 using System.Threading.Tasks;
 using System.Xml.Linq;
 
-using Newtonsoft.Json;
-
 namespace MultiImageClient
 {
     public class ImageManager
@@ -33,7 +34,8 @@ public async Task<Dictionary<SaveType, string>> DoSaveAsync(IImageGenerator gene
             savedImagePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.FullAnnotation, generator);
             savedImagePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.FinalPrompt, generator);
             savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.InitialIdea, generator);
-            savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.JustOverride, generator);
+            savedImagePaths[SaveType.JustOverride] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.JustOverride, generator);
+            savedImagePaths[SaveType.Label] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.Label, generator);
 
             return savedImagePaths;
         }
@@ -44,6 +46,7 @@ public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult resul
             {
                 if (!result.IsSuccess)
                 {
+                    Console.WriteLine("failur.");
                     return result;
                 }
                 var sw = Stopwatch.StartNew();
diff --git a/MultiImageClient/Implementation/AbstractPromptSource.cs b/MultiImageClient/Implementation/AbstractPromptSource.cs
index db43d34..8e3aaa7 100644
--- a/MultiImageClient/Implementation/AbstractPromptSource.cs
+++ b/MultiImageClient/Implementation/AbstractPromptSource.cs
@@ -7,7 +7,7 @@
 namespace MultiImageClient
 {
     /// this a way of loading a bunch of user configs for prompts. like, what do you want the text of the prompt to say? (and optionally, should it be big, landscape, whatever?)
-    /// things like actually mapping that to whatever options are provided by the image generator is another job, for IDetails (future, IJobSpec or something like that)
+    /// things like actually mapping that to whatever options are provided by the image generator is another job, for future, IJobSpec or something like that)
     public abstract class AbstractPromptSource
     {
         public abstract IEnumerable<PromptDetails> Prompts { get; }
diff --git a/MultiImageClient/Implementation/FileNameGenerator.cs b/MultiImageClient/Implementation/FileNameGenerator.cs
index 6921ed1..46503e0 100644
--- a/MultiImageClient/Implementation/FileNameGenerator.cs
+++ b/MultiImageClient/Implementation/FileNameGenerator.cs
@@ -17,33 +17,6 @@ public static string TruncatePrompt(string prompt, int maxLength)
             return prompt.Length > maxLength ? prompt.Substring(0, maxLength) : prompt;
         }
 
-        private static string DescribeResolution(PromptDetails details)
-        {
-            //if (details.BFL11Details != null && details.BFL11Details.Width != default && details.BFL11Details.Height != default)
-            //    return $"{details.BFL11Details.Width}x{details.BFL11Details.Height}";
-            //else if (details.Dalle3Details != null)
-            //    return details.Dalle3Details.Size.ToString();
-            //else if (details.IdeogramDetails?.AspectRatio != null)
-            //    return IdeogramUtils.StringifyAspectRatio(details.IdeogramDetails.AspectRatio.Value);
-            //else if (details.RecraftDetails != null)
-            //    return details.RecraftDetails.size.ToString().TrimStart('_');
-            //else if (details.GptImageOneDetails != null)
-            //    return $"{details.GptImageOneDetails.size}";
-            //else if (details.BFL11UltraDetails != null)
-            //    return $"{details.BFL11UltraDetails.AspectRatio}";
-            //else
-            //    Console.WriteLine("failed to get any details for esolution description");
-
-            return "resolution_unknown";
-        }
-
-        private static string DescribeSafetyTolerance(PromptDetails details)
-        {
-            //if (details.BFL11Details != null && details.BFL11Details.SafetyTolerance != default)
-            //    return $"safety{details.BFL11Details.SafetyTolerance}";
-            return "";
-        }
-
         private static string SanitizeFilename(string filename)
         {
             string sanitized = Regex.Replace(filename, @"[^a-zA-Z0-9_\-]", "_");
@@ -59,9 +32,10 @@ public static string GenerateUniqueFilename(string generatorFilenamePart, TaskPr
         {
             var components = new List<string>() { };
 
-            //components.Add(promptGeneratorName);
             components.Add(DateTime.Now.ToString("yyyyMMddHHmmss"));
-            components.Add(result.ImageGenerator.ToString());
+            components.Add(generatorFilenamePart);
+            
+            //components.Add(result.ImageGenerator.ToString());
             
             if (!string.IsNullOrEmpty(result.ContentType))
             {
@@ -75,8 +49,6 @@ public static string GenerateUniqueFilename(string generatorFilenamePart, TaskPr
                 components.Add(ss);
             }
 
-            components.Add(DescribeResolution(result.PromptDetails));
-            
             components.Add(saveType.ToString());
 
             string combined = string.Join("_", components.Where(c => !string.IsNullOrEmpty(c)));
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index b6555dd..6470b98 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -2,6 +2,12 @@
 
 using ImageMagick;
 
+using SixLabors.Fonts;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Drawing.Processing;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.ImageSharp.Processing;
+
 using System;
 using System.Collections.Generic;
 using System.IO;
@@ -100,7 +106,7 @@ public static async Task<string> SaveImageAsync(
             var usingPromptTextPart = FilenameGenerator.TruncatePrompt(result.PromptDetails.Prompt, 90);
             var generatorFilename = generator.GetFilenamePart(result.PromptDetails);
 
-            var safeFilename = FilenameGenerator.GenerateUniqueFilename($"{usingPromptTextPart}_{generatorFilename}", result, baseFolder, saveType);
+            var safeFilename = FilenameGenerator.GenerateUniqueFilename($"{generatorFilename}_{usingPromptTextPart}", result, baseFolder, saveType);
             var fullPath = Path.Combine(baseFolder, safeFilename);
 
             try
@@ -130,6 +136,34 @@ await TextFormatting.JustAddSimpleTextToBottomAsync(
                             saveType
                         );
                     }
+                    else if (saveType == SaveType.Label)
+                    {
+                        var rightParts = generator.GetRightParts();
+                        using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(imageBytes);
+                        var label = MakeLabelGeneral(originalImage.Width, result.PromptDetails.Prompt, rightParts);
+                        
+                        using var labelImage = SixLabors.ImageSharp.Image.Load<Rgba32>(label);
+                        int newHeight = originalImage.Height + labelImage.Height;
+                        using var combinedImage = new Image<Rgba32>(originalImage.Width, newHeight);
+                        combinedImage.Mutate(ctx =>
+                        {
+                            // Set antialiasing
+                            ctx.SetGraphicsOptions(new GraphicsOptions
+                            {
+                                Antialias = true,
+                                AntialiasSubpixelDepth = 16
+                            });
+
+                            // Draw original image at top
+                            ctx.DrawImage(originalImage, new Point(0, 0), 1f);
+
+                            // Draw label at bottom
+                            ctx.DrawImage(labelImage, new Point(0, originalImage.Height), 1f);
+                        });
+
+                        // Save the combined image
+                        await combinedImage.SaveAsPngAsync(fullPath);
+                    }
                     else
                     {
                         await TextFormatting.SaveImageAndAnnotate(
@@ -151,12 +185,128 @@ await TextFormatting.SaveImageAndAnnotate(
             return fullPath;
         }
 
+        public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rightParts)
+        {
+            var rightSideWidth = 300;
+            var leftSideWidth = width - rightSideWidth;
+            var padding = 5;
+            var fontSize = 24;
+            SixLabors.Fonts.FontFamily fontFamily;
+            if (!SystemFonts.TryGet("Segoe UI", out fontFamily))
+            {
+                if (!SystemFonts.TryGet("Arial", out fontFamily))
+                {
+                    fontFamily = SystemFonts.Families.First(); // Fallback
+                }
+            }
+            var font = fontFamily.CreateFont(fontSize, FontStyle.Regular);
+
+            // Measure left side text to determine height
+            var leftTextOptions = new RichTextOptions(font)
+            {
+                WrappingLength = leftSideWidth - (padding * 2),
+                LineSpacing = 1.15f,
+                HorizontalAlignment = HorizontalAlignment.Left,
+                VerticalAlignment = VerticalAlignment.Top,
+                Dpi = 72,
+                FallbackFontFamilies = new[] { SystemFonts.Families.First() }
+            };
+
+            var leftTextBounds = TextMeasurer.MeasureBounds(prompt, leftTextOptions);
+            int leftTextHeight = (int)Math.Ceiling(leftTextBounds.Height);
+
+            // Calculate right side font size (scale down if needed to fit width)
+            var rightFont = font;
+            var rightFontSize = fontSize;
+
+            // Find the maximum width needed for right side text
+            foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
+            {
+                var testOptions = new RichTextOptions(rightFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Right,
+                    Dpi = 72
+                };
+                var textBounds = TextMeasurer.MeasureBounds(text, testOptions);
+
+                // If text is too wide, scale down font
+                while (textBounds.Width > rightSideWidth - (padding * 2) && rightFontSize > 8)
+                {
+                    rightFontSize--;
+                    rightFont = fontFamily.CreateFont(rightFontSize, FontStyle.Regular);
+                    testOptions = new RichTextOptions(rightFont)
+                    {
+                        HorizontalAlignment = HorizontalAlignment.Right,
+                        Dpi = 72
+                    };
+                    textBounds = TextMeasurer.MeasureBounds(text, testOptions);
+                }
+            }
+
+            // Calculate right side height (number of lines * line height)
+            var rightLineHeight = rightFontSize * 1.5f; // Line spacing
+            var rightTextHeight = (int)(rightParts.Where(s => !string.IsNullOrEmpty(s)).Count() * rightLineHeight);
+
+            // Overall height is the maximum of left and right sides plus padding
+            int contentHeight = Math.Max(leftTextHeight, rightTextHeight);
+            int totalHeight = contentHeight + (padding * 2);
+
+            // Create the image
+            using var image = new Image<Rgba32>(width, totalHeight);
+
+            image.Mutate(ctx =>
+            {
+                // Set antialiasing
+                ctx.SetGraphicsOptions(new GraphicsOptions
+                {
+                    Antialias = true,
+                    AntialiasSubpixelDepth = 16
+                });
+
+                // Fill background with black
+                ctx.Fill(Color.Black);
+
+                // Draw left side box border (optional - you can remove if not wanted)
+                ctx.Draw(Color.White, 1f, new RectangleF(0, 0, leftSideWidth, totalHeight));
+
+                // Draw left side text
+                leftTextOptions.Origin = new PointF(padding, padding);
+                ctx.DrawText(leftTextOptions, prompt, Color.White);
+
+                // Draw right side box border (optional - you can remove if not wanted)
+                ctx.Draw(Color.White, 1f, new RectangleF(leftSideWidth, 0, rightSideWidth, totalHeight));
+
+                // Draw right side text (gold color, right-aligned)
+                var goldColor = Color.FromRgb(255, 215, 0); // Gold color
+                var yOffset = padding;
+
+                foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
+                {
+                    var rightTextOptions = new RichTextOptions(rightFont)
+                    {
+                        HorizontalAlignment = HorizontalAlignment.Right,
+                        VerticalAlignment = VerticalAlignment.Top,
+                        Dpi = 72,
+                        Origin = new PointF(width - padding, yOffset)
+                    };
+
+                    ctx.DrawText(rightTextOptions, text, goldColor);
+                    yOffset += (int)rightLineHeight;
+                }
+            });
+
+            // Convert to byte array
+            using var ms = new MemoryStream();
+            image.SaveAsPng(ms);
+            return ms.ToArray();
+        }
+
         private static IEnumerable<PromptHistoryStep> GetUsingSteps(SaveType saveType, PromptDetails promptDetails)
         {
             return saveType switch
             {
                 SaveType.FullAnnotation => promptDetails.TransformationSteps,
-                SaveType.InitialIdea or SaveType.FinalPrompt or SaveType.Raw or SaveType.JustOverride => new List<PromptHistoryStep>() { promptDetails.TransformationSteps.First() },
+                SaveType.InitialIdea or SaveType.FinalPrompt or SaveType.Raw or SaveType.JustOverride or SaveType.Label => new List<PromptHistoryStep>() { promptDetails.TransformationSteps.First() },
                 _ => throw new Exception("Invalid SaveType")
             };
         }
@@ -200,67 +350,5 @@ private static Dictionary<string, string> GetAnnotationDefaultData(
                                  .ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
             return imageInfo;
         }
-
-        private static void AddFullAnnotationInfo(Dictionary<string, string> imageInfo, ImageGeneratorApiType generator, PromptDetails promptDetails, string promptGeneratorName, TaskProcessResult result)
-        {
-            // fix this by making the appropriate direct GetLabelBitmap calls within each service.
-            //switch (generator)
-            //{
-            //    case ImageGeneratorApiType.Ideogram:
-            //        imageInfo.Add("Generator", "Ideogram V2");
-            //        var ideogramDetails = promptDetails.IdeogramDetails;
-            //        if (ideogramDetails.Model != default)
-            //            imageInfo.Add("Model", ideogramDetails.Model.ToString());
-            //        if (ideogramDetails.AspectRatio.HasValue)
-            //            imageInfo.Add("AspectRatio", IdeogramUtils.StringifyAspectRatio(ideogramDetails.AspectRatio.Value));
-            //        if (ideogramDetails.StyleType.HasValue)
-            //            imageInfo.Add("StyleType", ideogramDetails.StyleType.Value.ToString());
-            //        if (!string.IsNullOrWhiteSpace(ideogramDetails.NegativePrompt))
-            //            imageInfo.Add("NegativePrompt", ideogramDetails.NegativePrompt);
-            //        break;
-            //    case ImageGeneratorApiType.BFLv11:
-            //        var bflDetails = promptDetails.BFL11Details;
-            //        imageInfo.Add("Generator", "BFL Flux 1.1");
-            //        if (bflDetails.Seed.HasValue)
-            //            imageInfo.Add("Seed", bflDetails.Seed.Value.ToString());
-            //        if (bflDetails.Width != default && bflDetails.Height != default)
-            //            imageInfo.Add("Size", $"{bflDetails.Width}x{bflDetails.Height}");
-            //        if (bflDetails.SafetyTolerance != default)
-            //            imageInfo.Add("SafetyTolerance", bflDetails.SafetyTolerance.ToString());
-            //        break;
-            //    case ImageGeneratorApiType.BFLv11Ultra:
-            //        var bflDetails2 = promptDetails.BFL11UltraDetails;
-            //        imageInfo.Add("Generator", "BFL Flux 1.1 Ultra");
-            //        if (bflDetails2.Seed.HasValue)
-            //            imageInfo.Add("Seed", bflDetails2.Seed.Value.ToString());
-            //        if (bflDetails2.AspectRatio != default)
-            //            imageInfo.Add("AR", $"{bflDetails2.AspectRatio}");
-            //        if (bflDetails2.SafetyTolerance != default)
-            //            imageInfo.Add("SafetyTolerance", bflDetails2.SafetyTolerance.ToString());
-            //        break;
-            //    case ImageGeneratorApiType.Dalle3:
-            //        imageInfo.Add("Generator", "Dall-e 3");
-            //        var dalle3Details = promptDetails.Dalle3Details;
-            //        imageInfo.Add("Size", $"{dalle3Details.Size}");
-            //        imageInfo.Add("Quality", dalle3Details.Quality.ToString());
-            //        break;
-            //    case ImageGeneratorApiType.GptImage1:
-            //        imageInfo.Add("Generator", "gpt-Image-1");
-            //        var gptImageOneDetails = promptDetails.GptImageOneDetails;
-            //        imageInfo.Add("Size", $"{gptImageOneDetails.size}");
-            //        imageInfo.Add("Moderation", $"{gptImageOneDetails.moderation}");
-            //        imageInfo.Add("Quality", $"{gptImageOneDetails.quality}");
-            //        break;
-            //    case ImageGeneratorApiType.Recraft:
-            //        imageInfo.Add("Generator", "Recraft");
-            //        imageInfo.Add("Mimetype", result.ContentType);
-            //        var recraftDetails = promptDetails.RecraftDetails;
-            //        imageInfo.Add("Size", $"{recraftDetails.size}");
-            //        imageInfo.Add("Style", recraftDetails.GetFullStyleName());
-            //        break;
-            //}
-            imageInfo.Add("Kind", promptGeneratorName);
-            imageInfo.Add("Generated", DateTime.Now.ToString());
-        }
     }
 }
diff --git a/MultiImageClient/Implementation/PromptDetails.cs b/MultiImageClient/Implementation/PromptDetails.cs
index 99b9b57..773c14d 100644
--- a/MultiImageClient/Implementation/PromptDetails.cs
+++ b/MultiImageClient/Implementation/PromptDetails.cs
@@ -4,6 +4,7 @@
 using IdeogramAPIClient;
 using BFLAPIClient;
 using RecraftAPIClient;
+using System.Linq;
 
 namespace MultiImageClient
 {
@@ -12,6 +13,18 @@ namespace MultiImageClient
     /// </summary>
     public class PromptDetails
     {
+        // ugh this is back now.
+        public PromptDetails Copy()
+        {
+            var res = new PromptDetails();
+            res.ReplacePrompt(Prompt, Prompt, TransformationType.InitialPrompt);
+            foreach (var step in TransformationSteps)
+            {
+                res.AddStep(step.Explanation, step.TransformationType);
+            }
+            return res;
+        }
+
         public string Prompt { get; set; }
 
         /// <summary>
@@ -21,17 +34,6 @@ public class PromptDetails
         /// </summary>
         public IList<PromptHistoryStep> TransformationSteps { get; set; } = new List<PromptHistoryStep>();
 
-        /// Send these along and maybe one of the image consumers can use them to make a better image path etc.?
-        /// these are effectively specs and should also contain the methods to generate subtitles, filenames etc for this type of job.
-
-        /// whatever the user input stuff is from the PromptDetails, we later blow that out into actual work orders to the various services.
-        //public BFL11Details BFL11Details { get; set; }
-        //public BFL11UltraDetails BFL11UltraDetails { get; set; }
-        //public RecraftDetails RecraftDetails { get; set; }
-        //public IdeogramDetails IdeogramDetails { get; set; }
-        //public XDalle3Details Dalle3Details { get; set; }
-        //public GptImageOneDetails GptImageOneDetails { get; set; }
-
         public PromptDetails() { }
 
         /// <summary>
diff --git a/MultiImageClient/Implementation/SaveType.cs b/MultiImageClient/Implementation/SaveType.cs
index 7c3e36b..c1f502c 100644
--- a/MultiImageClient/Implementation/SaveType.cs
+++ b/MultiImageClient/Implementation/SaveType.cs
@@ -10,5 +10,6 @@ public enum SaveType
         InitialIdea = 3,
         FinalPrompt = 4,
         JustOverride = 5, // when w generate the prompt sometimes we just have a core word/phrase called the which we want to make visible in both the filename and in this version with the subtitle for illustrative purposes. If you get one of these then just draw the text large, centered, in a nice font, with no other junk.
+        Label = 6,
     }
 }
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 7cbb34b..73b5509 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -1,29 +1,21 @@
-using MultiImageClient;
-using IdeogramAPIClient;
-using Newtonsoft.Json;
+using IdeogramAPIClient;
+
+using OpenAI.Images;
+
+using RecraftAPIClient;
 
 using System;
 using System.Collections.Generic;
-using System.IO;
+using System.Drawing.Printing;
 using System.Linq;
-using System.Net.Http;
-using System.Reflection.Emit;
-using System.Runtime;
 using System.Threading.Tasks;
 
-using static MultiImageClient.Program;
-
-
 namespace MultiImageClient
 {
     /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
     public class Program
     {
-        
         private static ClaudeService _ClaudeService { get; set; }
-
-        
-
         static async Task Main(string[] args)
         {
             var settingsFilePath = "settings.json";
@@ -36,15 +28,23 @@ static async Task Main(string[] args)
 
 
             /// ------------------- MAKING SERVICES ----------------------------
-            
-            var dalle3 = new Dalle3Generator(settings.OpenAIApiKey, concurrency, stats);
-            var recraft = new RecraftGenerator(settings.RecraftApiKey, concurrency, stats);
-            var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, stats, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN);
-            var ideogram2 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, stats, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN);
-            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, settings.BFLApiKey, concurrency, stats, false, "1:1", false, 1024, 1024);
-            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, stats, false, "1:1", false, 2048, 1768);
-
-            var myGenerators = new List<IImageGenerator>() { dalle3, recraft, ideogram1, ideogram2, bfl1, bfl2};
+
+            var dalle3 = new Dalle3Generator(settings.OpenAIApiKey, concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, stats, "");
+            var recraft1 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.digital_engraving,  null, stats, "");
+            var recraft2 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
+            var recraft3 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
+            var recraft4 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.b_and_w, stats, "");
+            var recraft5 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.vivid_shapes, null, null, stats, "");
+            var recraft6 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.motion_blur, stats, "");
+            var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", stats, "");
+            var ideogram2 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_2_3, null, "", stats, "");
+            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, settings.BFLApiKey, concurrency, false, "3:2", false, 1024, 1024, stats, "");
+            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, false, "1:1", false, 2048, 1768, stats, "");
+            var gptimage1 = new GptImageOneGenerator(settings.OpenAIApiKey, concurrency, "auto", "low", "high", stats, "");   
+
+            var myGenerators = new List<IImageGenerator>() { dalle3, recraft6, ideogram1, ideogram2, bfl1, bfl2, gptimage1 };
+            //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
+            //var myGenerators = new List<IImageGenerator>() { bfl1, bfl2};
             var imageManager = new ImageManager(settings, stats);
 
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
@@ -56,6 +56,23 @@ static async Task Main(string[] args)
             {
                 Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
 
+                Console.WriteLine($"Do you accept this? y for yes, n for no go to next, or type the prompt you want directly and hit enter.");
+                var val = Console.ReadLine();
+                if (val == "y")
+                {
+
+                }
+                else if (val == "n")
+                {
+                    continue;
+                }
+                else
+                {
+                    var usingVal = val.Trim();
+                    promptString.UndoLastStep();
+                    //this is a bit silly since the original initial prompt will still be in history for no reason.
+                    promptString.ReplacePrompt(usingVal, "explanation", TransformationType.InitialPrompt);
+                }
                 foreach (var step in steps)
                 {
                     var res = await step.DoTransformation(promptString);
@@ -67,26 +84,34 @@ static async Task Main(string[] args)
                     Logger.Log($"\tStep:{step.Name} => {promptString.Show()}");
                 }
 
-                // Create tasks for all generators for this prompt
-                var generatorTasks = myGenerators.Select(async generator =>
+                var ii = 0;
+                while (ii < 4)
                 {
-                    try
-                    {
-                        var result = await generator.ProcessPromptAsync(promptString);
-                        await imageManager.ProcessAndSaveAsync(result, generator);
-                        Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
-                        return result;
-                    }
-                    catch (Exception ex)
-                    {
-                        Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
-                        throw;
-                    }
-                }).ToList();
 
-                allTasks.AddRange(generatorTasks);
-                stats.PrintStats();
-                Console.WriteLine($"Kicked off {generatorTasks.Count} tasks for prompt.");
+                    // Create tasks for all generators for this prompt
+                    var generatorTasks = myGenerators.Select(async generator =>
+                    {
+                        try
+                        {
+                            var theCopy = promptString.Copy();
+                            var result = await generator.ProcessPromptAsync(theCopy);
+                            await imageManager.ProcessAndSaveAsync(result, generator);
+                            Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
+                            return result;
+                        }
+                        catch (Exception ex)
+                        {
+                            Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
+                            throw;
+                        }
+                    }).ToList();
+
+                    allTasks.AddRange(generatorTasks);
+                    ii++;
+
+                    stats.PrintStats();
+                    Console.WriteLine($"Kicked off {generatorTasks.Count} tasks for prompt.");
+                }
             }
 
             // Wait for all tasks
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
index 4d38891..ff81dfc 100644
--- a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
+++ b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
@@ -36,8 +36,7 @@ public async Task RunAsync()
                 {
                     var nam = kvp.Key;
                     var generator = kvp.Value;
-                    //var theCopy = promptDetails.Clone();
-                    TaskProcessResult result = await kvp.Value.ProcessPromptAsync(promptDetails);
+                    TaskProcessResult result = await generator.ProcessPromptAsync(promptDetails);
                     await _imageManager.ProcessAndSaveAsync(result, generator);
                     tasks.Add(Task.FromResult(result));
                 }
diff --git a/MultiImageClient/Services/BFLGenerator.cs b/MultiImageClient/Services/BFLGenerator.cs
index 4debc51..e826783 100644
--- a/MultiImageClient/Services/BFLGenerator.cs
+++ b/MultiImageClient/Services/BFLGenerator.cs
@@ -1,15 +1,28 @@
 using BFLAPIClient;
 
-using IdeogramAPIClient;
 
-using MultiImageClient;
+using SixLabors.Fonts;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Drawing.Processing;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.ImageSharp.Processing;
 
 using System;
+using System.Collections.Generic;
+using System.Data;
 using System.Drawing;
+using System.IO;
+using System.Linq;
 using System.Net.Http;
 using System.Threading;
 using System.Threading.Tasks;
 
+using Color = SixLabors.ImageSharp.Color;
+using FontStyle = SixLabors.Fonts.FontStyle;
+using PointF = SixLabors.ImageSharp.PointF;
+using RectangleF = SixLabors.ImageSharp.RectangleF;
+using SystemFonts = SixLabors.Fonts.SystemFonts;
+
 namespace MultiImageClient
 {
     public class BFLGenerator : IImageGenerator
@@ -23,20 +36,45 @@ public class BFLGenerator : IImageGenerator
         private int _width { get; set; }
         private int _height { get; set; }
         private ImageGeneratorApiType _apiType { get; }
+        private string _name;
 
-        public BFLGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency, MultiClientRunStats stats, bool useUltra, string aspectRatio, bool promptUpscaling, int width, int height)
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"{_apiType}{_name}";
+            var upsamplingPart = _promptUpsampling ? "_up" : "";
+            if (_apiType == ImageGeneratorApiType.BFLv11)
+            {
+                res = $"{res}_{_height}x{_width}{upsamplingPart}";
+            }
+            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
+            {
+                res = $"{res}_{_aspectRatio}{upsamplingPart}";
+            }
+            else
+            {
+                throw new Exception("X");
+            }
+
+            return res;
+        }
+
+        public BFLGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency, bool useUltra, string aspectRatio, bool promptUpscaling, int width, int height, MultiClientRunStats stats, string name)
         {
             _apiType = apiType;
             _bflClient = new BFLClient(apiKey);
             _bflSemaphore = new SemaphoreSlim(maxConcurrency);
             _httpClient = new HttpClient();
-            _stats = stats;
+
             _aspectRatio = aspectRatio;
             _promptUpsampling = promptUpscaling;
             _width = width;
             _height = height;
+
+            _stats = stats;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
         }
 
+
         public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
         {
             await _bflSemaphore.WaitAsync();
@@ -55,7 +93,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                         SafetyTolerance = 6
                     };
 
-                    generationResponse = await _bflClient.GenerateFluxPro11Async(request); 
+                    generationResponse = await _bflClient.GenerateFluxPro11Async(request);
                 }
                 else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
                 {
@@ -132,30 +170,11 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
             }
         }
 
-        public string GetFilenamePart(PromptDetails pd)
+        public List<string> GetRightParts()
         {
-            var res = $"";
-            if (_apiType == ImageGeneratorApiType.BFLv11)
-            {
-                var ups = _promptUpsampling ? "_up" : "";
-                res = $"{res} {_height}x{_width}{ups}";
-            }
-            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
-            {
-                var ups = _promptUpsampling ? "_up" : "";
-                res = $"{_aspectRatio}{ups}";
-            }
-            else
-            {
-                throw new Exception("X");
-            }
-                
-            return res;
-        }
-
-        public Bitmap GetLabelBitmap(int width)
-        {
-            throw new NotImplementedException();
-        }
+            var upsamplingPart = _promptUpsampling ? "prompt rewritten." : "";
+            var rightsideContents = new List<string>() { _apiType.ToString(), upsamplingPart };
+            return rightsideContents;
+        }        
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/Services/Dalle3Generator.cs
index 84addbc..814d00b 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -1,24 +1,11 @@
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
-using BFLAPIClient;
-
-using IdeogramAPIClient;
-
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-
-using OpenAI;
+using OpenAI;
 using OpenAI.Images;
-using OpenAI.Models;
+
+using RecraftAPIClient;
 
 using System;
 using System.Collections.Generic;
 using System.Drawing;
-using System.IO;
-using System.Net.Http;
-using System.Reflection;
 
 using System.Threading;
 using System.Threading.Tasks;
@@ -30,25 +17,48 @@ public class Dalle3Generator : IImageGenerator
     {
         private SemaphoreSlim _dalle3Semaphore;
         private ImageClient _openAIImageClient;
+        private GeneratedImageQuality _quality;
+        private GeneratedImageSize _size;
         private MultiClientRunStats _stats;
+        private string _name;
 
-        public Dalle3Generator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
+        public Dalle3Generator(string apiKey, int maxConcurrency,
+            GeneratedImageQuality quality,
+                GeneratedImageSize size,
+            MultiClientRunStats stats, string name = "")
         {
             var openAIClient = new OpenAIClient(apiKey);
             _openAIImageClient = openAIClient.GetImageClient("dall-e-3");
             _dalle3Semaphore = new SemaphoreSlim(maxConcurrency);
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _quality = quality;
+            _size = size;
             _stats = stats;
         }
 
         public string GetFilenamePart(PromptDetails pd)
         {
-            var res = $"";
+            var qualpt = "";
+            if (_quality != GeneratedImageQuality.High)
+            {
+                qualpt = $"_{_quality.ToString().ToLower()}";
+            }
+            var res = $"dalle3-{_name}{qualpt}";
             return res;
         }
 
-        public Bitmap GetLabelBitmap(int width)
+        public List<string> GetRightParts()
         {
-            throw new NotImplementedException();
+            var qualpt = "";
+            if (_quality != GeneratedImageQuality.High)
+            {
+                qualpt = $"_{_quality.ToString().ToLower()}";
+            }
+            var res = $"dalle3-{_name}{qualpt}";
+
+            var rightsideContents = new List<string>() { "dall-e-3", qualpt, _name};
+
+            return rightsideContents;
         }
 
         /// it's rather annoying that we still have to send in the original pd. we do that because here is where we notice things like "de3 modified or banned the text, etc."
diff --git a/MultiImageClient/Services/GptImageOneGenerator.cs b/MultiImageClient/Services/GptImageOneGenerator.cs
index 70f50d6..6bfa33c 100644
--- a/MultiImageClient/Services/GptImageOneGenerator.cs
+++ b/MultiImageClient/Services/GptImageOneGenerator.cs
@@ -2,19 +2,15 @@
 using OpenAI.Images;
 
 using System;
-using System.ClientModel;
 using System.Collections.Generic;
-
+using System.Diagnostics;
+using System.Drawing;
 using System.Net.Http;
 using System.Net.Http.Headers;
-using System.Reflection;
-
-using System.Threading;
-using System.Threading.Tasks;
 using System.Text;
 using System.Text.Json;
-using System.Diagnostics;
-using System.Drawing;
+using System.Threading;
+using System.Threading.Tasks;
 
 namespace MultiImageClient
 {
@@ -23,26 +19,60 @@ public class GptImageOneGenerator : IImageGenerator
         private SemaphoreSlim _gptImageOneSemaphore;
         static readonly HttpClient http = new HttpClient();
         private MultiClientRunStats _stats;
+        private string _size;
+        private string _moderation;
+        private string _quality;
+        private string _name;
 
-        public GptImageOneGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
+        public GptImageOneGenerator(string apiKey, int maxConcurrency, string size, string moderation, string quality, MultiClientRunStats stats, string name)
         {
             _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
-            _stats = stats;
+
             http.DefaultRequestHeaders.Authorization =
                 new AuthenticationHeaderValue("Bearer", apiKey);
-        }
 
+            _size = size;
+            _moderation = moderation;
+            _quality = quality;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _stats = stats;
 
+        }
 
         public string GetFilenamePart(PromptDetails pd)
         {
-            var res = $"";
+            var modpt = "";
+            if (_moderation != "low")
+            {
+                modpt = $" mod{_moderation}";
+            }
+
+            var qualitypt = "";
+            if (_quality != "high")
+            {
+                qualitypt = $" qual{_quality}";
+            }
+            var res = $"gpt-1_{_name}{modpt}{qualitypt}";
             return res;
         }
 
-        public Bitmap GetLabelBitmap(int width)
+        public List<string> GetRightParts()
         {
-            throw new NotImplementedException();
+            var modpt = "";
+            if (_moderation != "low")
+            {
+                modpt = $" mod{_moderation}";
+            }
+
+            var qualitypt = "";
+            if (_quality != "high")
+            {
+                qualitypt = $" qual{_quality}";
+            }
+
+            var rightsideContents = new List<string>() { "gpt-image-1", _name , modpt, qualitypt};
+
+            return rightsideContents;
         }
 
         public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
@@ -52,17 +82,14 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
             try
             {
                 _stats.GptImageOneRequestCount++;
-                var genOptions = new ImageGenerationOptions();
-                genOptions.Quality = "high";
-
                 var body = new
                 {
                     model = "gpt-image-1",
                     prompt = promptDetails.Prompt,
-                    moderation = "low",
-                    quality = "high",
+                    moderation = _moderation,
+                    quality = _quality,
                     n = 1,
-                    size = "auto",
+                    size = _size,
                 };
 
                 using var content = new StringContent(
diff --git a/MultiImageClient/Services/IdeogramGenerator.cs b/MultiImageClient/Services/IdeogramGenerator.cs
index 395fd99..cb55f04 100644
--- a/MultiImageClient/Services/IdeogramGenerator.cs
+++ b/MultiImageClient/Services/IdeogramGenerator.cs
@@ -1,6 +1,7 @@
 using IdeogramAPIClient;
 
 using System;
+using System.Collections.Generic;
 using System.Drawing;
 using System.Drawing.Drawing2D;
 using System.Net.Http;
@@ -14,31 +15,72 @@ public class IdeogramGenerator : IImageGenerator
         private SemaphoreSlim _ideogramSemaphore;
         private IdeogramClient _ideogramClient;
         private HttpClient _httpClient = new HttpClient();
-        private MultiClientRunStats _stats;
         private IdeogramMagicPromptOption _magicPrompt;
         private IdeogramAspectRatio _aspectRatio;
-        private IdeogramStyleType _ideoGramStyleType;
+        private IdeogramStyleType? _ideoGramStyleType;
+        private string _negativePrompt;
+        private MultiClientRunStats _stats;
+        private string _name;
+
 
-        public IdeogramGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats, IdeogramMagicPromptOption magicPrompt, IdeogramAspectRatio aspectRatio, IdeogramStyleType styleType)
+        public IdeogramGenerator(string apiKey, int maxConcurrency, IdeogramMagicPromptOption magicPrompt, IdeogramAspectRatio aspectRatio, IdeogramStyleType? styleType, string negativePrompt, MultiClientRunStats stats, string name)
         {
             _ideogramClient = new IdeogramClient(apiKey);
             _ideogramSemaphore = new SemaphoreSlim(maxConcurrency);
             _magicPrompt = magicPrompt;
             _aspectRatio = aspectRatio;
             _ideoGramStyleType = styleType;
+            _negativePrompt = negativePrompt;
             _stats = stats;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
         }
 
         public string GetFilenamePart(PromptDetails pd)
         {
-            var res = $"magic_{_magicPrompt.ToString()} ar_{_aspectRatio.ToString()} style_{_ideoGramStyleType.ToString()}";
+            var neg = "";
+            var stylepart = "";
+            if (_ideoGramStyleType == null)
+            {
+                //auto
+                stylepart = "";
+            }
+            else
+            {
+                stylepart = $"_{_ideoGramStyleType.ToString().ToLowerInvariant()}";
+            }
+            var clneg = TextUtils.CleanPrompt(_negativePrompt);
+            if (!string.IsNullOrEmpty(clneg))
+            {
+                neg = $" neg_{clneg}";
+            }
+            var res = $"ideogramv2{_name}_magic_{_magicPrompt.ToString().ToLowerInvariant()} {_aspectRatio.ToString().ToLowerInvariant().Replace("aspect_","ar").Replace("_","x")} {stylepart}{neg}";
 
             return res;
         }
 
-        public Bitmap GetLabelBitmap(int width)
+        public List<string> GetRightParts()
         {
-            throw new NotImplementedException();
+            var neg = "";
+            var stylepart = "";
+            if (_ideoGramStyleType == null)
+            {
+                //auto
+                stylepart = "";
+            }
+            else
+            {
+                stylepart = $"_{_ideoGramStyleType.ToString().ToLowerInvariant()}";
+            }
+            var clneg = TextUtils.CleanPrompt(_negativePrompt);
+            if (!string.IsNullOrEmpty(clneg))
+            {
+                neg = $" neg_{clneg}";
+            }
+            var res = $"ideogramv2{_name}_magic_{_magicPrompt.ToString().ToLowerInvariant()} {_aspectRatio.ToString().ToLowerInvariant().Replace("aspect_", "ar").Replace("_", "x")} {stylepart}{neg}";
+
+            var rightsideContents = new List<string>() { "ideogram_v2", _name, stylepart, clneg, $"magicprompt_{_magicPrompt.ToString()}", _aspectRatio.ToString().ToLowerInvariant().Replace("aspect_", "ar").Replace("_", "x") };
+
+            return rightsideContents;
         }
 
         public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
@@ -46,7 +88,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
             await _ideogramSemaphore.WaitAsync();
             try
             {
-                var ideogramDetails = new IdeogramDetails
+                var ideogramOptions = new IdeogramOptions
                 {
                     AspectRatio = _aspectRatio,
                     Model = IdeogramModel.V_2,
@@ -54,7 +96,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                     StyleType = _ideoGramStyleType
                 };
 
-                var request = new IdeogramGenerateRequest(promptDetails.Prompt, ideogramDetails);
+                var request = new IdeogramGenerateRequest(promptDetails.Prompt, ideogramOptions);
 
                 _stats.IdeogramRequestCount++;
                 GenerateResponse response = await _ideogramClient.GenerateImageAsync(request);
@@ -87,6 +129,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
 
             catch (Exception ex)
             {
+                Console.WriteLine(ex);
                 return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
             }
             finally
diff --git a/MultiImageClient/Services/RecraftGenerator.cs b/MultiImageClient/Services/RecraftGenerator.cs
index 9a50669..9aaf260 100644
--- a/MultiImageClient/Services/RecraftGenerator.cs
+++ b/MultiImageClient/Services/RecraftGenerator.cs
@@ -3,9 +3,11 @@
 using SixLabors.ImageSharp;
 
 using System;
+using System.Collections.Generic;
 using System.Drawing;
 using System.Linq;
 using System.Net.Http;
+using System.Runtime.CompilerServices;
 using System.Threading;
 using System.Threading.Tasks;
 
@@ -18,29 +20,70 @@ public class RecraftGenerator : IImageGenerator
         private HttpClient _httpClient;
         private MultiClientRunStats _stats;
         private static Random _Random = new Random();
-
-        public RecraftGenerator(string apiKey, int maxConcurrency, MultiClientRunStats stats)
+        private RecraftStyle _style;
+        private RecraftVectorIllustrationSubstyle? _substyleVector;
+        private RecraftDigitalIllustrationSubstyle? _substyleDigital;
+        private RecraftRealisticImageSubstyle? _substyleRealistic;
+        private RecraftImageSize _imageSize;
+        private string _name;
+
+        public RecraftGenerator(string apiKey, int maxConcurrency, RecraftImageSize size, RecraftStyle style, RecraftVectorIllustrationSubstyle? substyleVector, RecraftDigitalIllustrationSubstyle? substyleDigital, RecraftRealisticImageSubstyle? substyleRealistic, MultiClientRunStats stats, string name)
         {
             _recraftClient = new RecraftClient(apiKey);
             _recraftSemaphore = new SemaphoreSlim(maxConcurrency);
             _httpClient = new HttpClient();
+
+            // we probably could use some validation here.
+            _style = style;
+            _substyleVector = substyleVector;
+            _substyleDigital = substyleDigital;
+            _substyleRealistic = substyleRealistic;
+
+            _imageSize = size;
             _stats = stats;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
         }
 
         public string GetFilenamePart(PromptDetails pd)
         {
-            var res = $"";
+            var usingSubstyle = "";
+            if (_style == RecraftStyle.digital_illustration)
+            {
+                usingSubstyle = _substyleDigital.ToString();
+            }
+            else if (_style == RecraftStyle.realistic_image)
+            {
+                usingSubstyle = _substyleRealistic.ToString();
+            }
+            else if (_style == RecraftStyle.vector_illustration)
+            {
+                usingSubstyle = _substyleVector.ToString();
+            }
+            var res = $"recraft{_name}_{_imageSize}_{_style}_{usingSubstyle}";
             return res;
-            //components.Add(result.PromptDetails.RecraftDetails.style.ToString());
-            //components.Add(result.PromptDetails.RecraftDetails.substyle.ToString());
         }
 
-        public Bitmap GetLabelBitmap(int width)
+        public List<string> GetRightParts()
         {
-            throw new NotImplementedException();
+            var usingSubstyle = "";
+            if (_style == RecraftStyle.digital_illustration)
+            {
+                usingSubstyle = _substyleDigital.ToString();
+            }
+            else if (_style == RecraftStyle.realistic_image)
+            {
+                usingSubstyle = _substyleRealistic.ToString();
+            }
+            else if (_style == RecraftStyle.vector_illustration)
+            {
+                usingSubstyle = _substyleVector.ToString();
+            }
+            
+            var rightsideContents = new List<string>() { "recraft_v3" ,_style.ToString(), usingSubstyle, _name, };
+            return rightsideContents;
         }
 
-        public async Task<TaskProcessResult> ProcessPromptAsync( PromptDetails promptDetails)
+        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
         {
             await _recraftSemaphore.WaitAsync();
             try
@@ -52,9 +95,71 @@ public async Task<TaskProcessResult> ProcessPromptAsync( PromptDetails promptDet
                     usingPrompt = usingPrompt.Substring(0, 990);
                     Logger.Log("Truncating the prompt for Recraft.");
                 }
-                var recraftDetails = GetRandomRecraftStyleAndSubstyleDetails();
 
-                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, recraftDetails);
+                //// Randomly select one of the three main styles
+                //if (_style == "any" || _style == "")
+                //{
+                //    var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
+                //    _style = styles[_Random.Next(styles.Count)].ToString();
+                //    Console.WriteLine($"set style to: {_style}");
+                //}
+
+                //// Based on chosen style, select appropriate substyle
+
+                //bool coinFlip = true;
+
+                //if (string.IsNullOrEmpty(_substyle))
+                //{
+                //    switch (_style)
+                //    {
+                //        case "digital_illustration":
+                //            var digitalStyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles))
+                //                .Cast<RecraftDigitalIllustrationSubstyles>().ToList();
+                //            if (coinFlip)
+                //            {
+                //                _substyle = digitalStyles[_Random.Next(digitalStyles.Count)].ToString();
+                //            }
+                //            break;
+
+                //        case "realistic_image":
+                //            var realisticStyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyles))
+                //                .Cast<RecraftRealisticImageSubstyles>().ToList();
+                //            if (coinFlip)
+                //            {
+                //                _substyle = realisticStyles[_Random.Next(realisticStyles.Count)].ToString();
+                //            }
+                //            break;
+
+                //        case "vector_illustration":
+                //            var vectorStyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles))
+                //                .Cast<RecraftVectorIllustrationSubstyles>().ToList();
+                //            if (coinFlip)
+                //            {
+                //                _substyle = vectorStyles[_Random.Next(vectorStyles.Count)].ToString();
+                //            }
+                //            break;
+                //    }
+                //    Console.WriteLine($"set substyle to: {_substyle}");
+                //}
+                var usingSubstyle = "";
+                if (_style == RecraftStyle.digital_illustration)
+                {
+                    usingSubstyle = _substyleDigital.ToString();
+                }
+                else if (_style == RecraftStyle.realistic_image)
+                {
+                    usingSubstyle = _substyleRealistic.ToString();
+                }
+                else if (_style == RecraftStyle.vector_illustration)
+                {
+                    usingSubstyle = _substyleVector.ToString();
+                }
+                else
+                {
+                    Console.WriteLine("err.");
+                    usingSubstyle = "any";
+                }
+                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, usingSubstyle, _style.ToString(), _imageSize);
                 Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
                 _stats.RecraftImageGenerationSuccessCount++;
                 var theUrl = generationResult.Data[0].Url;
@@ -82,53 +187,6 @@ public async Task<TaskProcessResult> ProcessPromptAsync( PromptDetails promptDet
             }
         }
 
-        public static RecraftDetails GetRandomRecraftStyleAndSubstyleDetails()
-        {
-            var details = new RecraftDetails
-            {
-                size = RecraftImageSize._1536x1024
-            };
-
-            // Randomly select one of the three main styles
-            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
-            details.style = styles[_Random.Next(styles.Count)].ToString();
-
-            // Based on chosen style, select appropriate substyle
-
-            bool coinFlip = true;
-
-            switch (details.style)
-            {
-                case "digital_illustration":
-                    var digitalStyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles))
-                        .Cast<RecraftDigitalIllustrationSubstyles>().ToList();
-                    if (coinFlip)
-                    {
-                        details.substyle = digitalStyles[_Random.Next(digitalStyles.Count)].ToString();
-                    }
-                    break;
-
-                case "realistic_image":
-                    var realisticStyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyles))
-                        .Cast<RecraftRealisticImageSubstyles>().ToList();
-                    if (coinFlip)
-                    {
-                        details.substyle = realisticStyles[_Random.Next(realisticStyles.Count)].ToString();
-                    }
-                    break;
-
-                case "vector_illustration":
-                    var vectorStyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles))
-                        .Cast<RecraftVectorIllustrationSubstyles>().ToList();
-                    if (coinFlip)
-                    {
-                        details.substyle = vectorStyles[_Random.Next(vectorStyles.Count)].ToString();
-                    }
-                    break;
-            }
-
-            return details;
-        }
         public string GetFullStyleName(string style, string substyle)
         {
             switch (style)
diff --git a/MultiImageClient/promptGenerators/RecraftAllsStyles.cs b/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
index f2b8f60..210db86 100644
--- a/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
+++ b/MultiImageClient/promptGenerators/RecraftAllsStyles.cs
@@ -1,38 +1,16 @@
-using CommandLine;
-
-using Microsoft.VisualBasic;
-
-using Newtonsoft.Json.Linq;
-
+
 using RecraftAPIClient;
 
 using System;
 using System.Collections;
 using System.Collections.Generic;
-using System.ComponentModel;
-using System.Diagnostics.Metrics;
-using System.Drawing.Drawing2D;
-using System.IO;
 using System.Linq;
-using System.Net;
-using System.Numerics;
-using System.Reflection;
-using System.Reflection.Metadata.Ecma335;
-using System.Runtime.ConstrainedExecution;
-using System.Runtime.InteropServices;
-using System.Security.Cryptography;
-using System.Text.RegularExpressions;
-using System.Threading;
-using System.Xml.Linq;
-
-using static System.Formats.Asn1.AsnWriter;
 
 namespace MultiImageClient
 {
     /// If you have a file of a bunch of prompts, you can use this to load them rather than using some kind of custom iteration system.
     public class RecraftAllsStyles : AbstractPromptSource
     {
-
         public RecraftAllsStyles(Settings settings) : base(settings)
         {
         }
@@ -51,27 +29,19 @@ private IEnumerable<PromptDetails> GetPrompts()
             {
                 var substyles = style switch
                 {
-                    RecraftStyle.realistic_image => Enum.GetValues(typeof(RecraftRealisticImageSubstyles)),
-                    RecraftStyle.vector_illustration => Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles)),
-                    RecraftStyle.digital_illustration => Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles)),
+                    RecraftStyle.realistic_image => Enum.GetValues(typeof(RecraftRealisticImageSubstyle)),
+                    RecraftStyle.vector_illustration => Enum.GetValues(typeof(RecraftVectorIllustrationSubstyle)),
+                    RecraftStyle.digital_illustration => Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyle)),
                     _ => throw new ArgumentException($"Unknown style: {style}")
                 };
                 
                 foreach (object substyle in substyles)
                 {
-                    var recraftDetails = new RecraftDetails
-                    {
-                        style = style.ToString(),
-                        size = RecraftImageSize._1707x1024,
-                    };
-                    recraftDetails.substyle = substyle.ToString();
                     var usingSub = substyle.ToString().TrimStart('_');
-                    recraftDetails.substyle = usingSub;
                     var pd = new PromptDetails();
                     var prompt = "A magnificent tower in an epic plain, ruins and hidden secrets, super detailed and high resolution, incredibly deep and profound, with hidden creatures and erosion, and a cute semi-hidden kitten.";
                     pd.ReplacePrompt(prompt, prompt , TransformationType.InitialPrompt);
                     
-                    //pd.RecraftDetails = recraftDetails;
                     Logger.Log($"Trying style, substyle: {style} {usingSub}");
                     res.Add(pd);
                 }
diff --git a/MultiImageClient/promptTransformation/IImageGenerator.cs b/MultiImageClient/promptTransformation/IImageGenerator.cs
index 09596aa..84af9c6 100644
--- a/MultiImageClient/promptTransformation/IImageGenerator.cs
+++ b/MultiImageClient/promptTransformation/IImageGenerator.cs
@@ -22,7 +22,7 @@ public interface IImageGenerator
         /// when this jobspec is run, how should it be mapped to the filename?
         public abstract string GetFilenamePart(PromptDetails pd);
 
-        /// return png bytes that wide and freely as tall as you want, with all the label stuff for yourself.
-        public abstract Bitmap GetLabelBitmap(int width);
+        /// return just the parts on the right, we know everything else.
+        public abstract List<string> GetRightParts();
     }
 }
diff --git a/RecraftAPI/Program.cs b/RecraftAPI/Program.cs
index 94d2ed4..078a516 100644
--- a/RecraftAPI/Program.cs
+++ b/RecraftAPI/Program.cs
@@ -11,19 +11,7 @@ public class Program
     {
         static async Task<int> Main(string[] args)
         {
-            var details = new RecraftDetails()
-            {
-                size = RecraftImageSize._1707x1024,
-                style = RecraftStyle.digital_illustration.ToString()
-                //substyle = RecraftVectorIllustrationSubstyles.
-                //substyle = RecraftVectorIllustrationSubstyles.cosmics.ToString(),
-            };
-
-            var cli = new RecraftClient("ly990g6UShz0ODtjMoqUnpOqfQF935fG3dEjq5kHLMrF18EojUxw3FfOin3Xyrib");
-            var res = await cli.GenerateImageAsync("A cute puppy playing in a garden", details);
-            res.Data.ForEach(x => Console.WriteLine(x.Url));
             return 0;
         }
     }
-    //does not have a suitable main method? 
 }
diff --git a/RecraftAPI/RecraftClient.cs b/RecraftAPI/RecraftClient.cs
index 19bba5f..f7d816b 100644
--- a/RecraftAPI/RecraftClient.cs
+++ b/RecraftAPI/RecraftClient.cs
@@ -1,14 +1,5 @@
 using Newtonsoft.Json;
-
-using System.Collections.Generic;
-using System.Net.Http;
 using System.Text;
-using System.Threading.Tasks;
-
-
-using MultiImageClient;
-
-using System;
 
 namespace RecraftAPIClient
 {
@@ -23,26 +14,24 @@ public RecraftClient(string apiKey)
             _apiKey = apiKey;
             _httpClient = new HttpClient();
             _httpClient.DefaultRequestHeaders.Add("Authorization", $"Bearer {apiKey}");
-            //_httpClient.DefaultRequestHeaders.Add("x-api-key", $"{apiKey}");
         }
 
 
-        public async Task<GenerationResponse> GenerateImageAsync(string prompt, RecraftDetails recraftDetails)
+        public async Task<GenerationResponse> GenerateImageAsync(string prompt, string substyle, string style, RecraftImageSize size)
         {
             var stringSubstyle = "";
 
-            stringSubstyle = recraftDetails.substyle;
 
             string serialized = "";
             
 
-            if (recraftDetails.style == "any") {
+            if (style == "any") {
                 serialized = JsonConvert.SerializeObject(new
                 {
                     prompt,
                     model = "recraftv3",
-                    style = recraftDetails.style,
-                    size = recraftDetails.size.ToString().TrimStart('_'),
+                    style = style,
+                    size = size.ToString().TrimStart('_'),
                     response_format = "url"
                 });
             }
@@ -52,9 +41,9 @@ public async Task<GenerationResponse> GenerateImageAsync(string prompt, RecraftD
                 {
                     prompt,
                     model = "recraftv3",
-                    style = recraftDetails.style,
-                    substyle = recraftDetails.substyle,
-                    size = recraftDetails.size.ToString().TrimStart('_'),
+                    style = style,
+                    substyle = substyle,
+                    size = size.ToString().TrimStart('_'),
                     response_format = "url"
                 });
             }
diff --git a/RecraftAPI/RecraftDetails.cs b/RecraftAPI/RecraftDetails.cs
deleted file mode 100644
index d7549fc..0000000
--- a/RecraftAPI/RecraftDetails.cs
+++ /dev/null
@@ -1,17 +0,0 @@
-using MultiImageClient;
-
-using System;
-
-namespace RecraftAPIClient
-{
-    public class RecraftDetails : IDetails
-    {
-        private static Random _Random = new Random();
-        public RecraftImageSize size { get; set; }
-        public string style { get; set; } = "";
-        public string substyle { get; set; } = "";
-        public RecraftDetails() { }
-
-        
-    }
-}
diff --git a/RecraftAPI/RecraftDigitalIllustrationSubstyles.cs b/RecraftAPI/RecraftDigitalIllustrationSubstyle.cs
similarity index 91%
rename from RecraftAPI/RecraftDigitalIllustrationSubstyles.cs
rename to RecraftAPI/RecraftDigitalIllustrationSubstyle.cs
index 51fa9ef..5304297 100644
--- a/RecraftAPI/RecraftDigitalIllustrationSubstyles.cs
+++ b/RecraftAPI/RecraftDigitalIllustrationSubstyle.cs
@@ -1,44 +1,44 @@
-namespace RecraftAPIClient
-{
-    public enum RecraftDigitalIllustrationSubstyles
-    {
-        _2d_art_poster = 1,
-        _2d_art_poster_2 = 2,
-        engraving_color = 3,
-        grain = 4,
-        hand_drawn = 5,
-        hand_drawn_outline = 6,
-        handmade_3d = 7,
-        infantile_sketch = 8,
-        pixel_art = 9,
-        antiquarian = 10,
-        bold_fantasy = 11,
-        child_book = 12,
-        cover = 13,
-        crosshatch = 14,
-        digital_engraving = 15,
-        expressionism = 16,
-        freehand_details = 17,
-        grain_20 = 18,
-        graphic_intensity = 19,
-        hard_comics = 20,
-        long_shadow = 21,
-        modern_folk = 22,
-        multicolor = 23,
-        neon_calm = 24,
-        noir = 25,
-        nostalgic_pastel = 26,
-        outline_details = 27,
-        pastel_gradient = 28,
-        pastel_sketch = 29,
-        pop_art = 30,
-        pop_renaissance = 31,
-        street_art = 32,
-        tablet_sketch = 33,
-        urban_glow = 34,
-        urban_sketching = 35,
-        vanilla_dreams = 36,
-        young_adult_book = 37,
-        young_adult_book_2 = 38,
-    }
-}
+namespace RecraftAPIClient
+{
+    public enum RecraftDigitalIllustrationSubstyle
+    {
+        _2d_art_poster = 1,
+        _2d_art_poster_2 = 2,
+        engraving_color = 3,
+        grain = 4,
+        hand_drawn = 5,
+        hand_drawn_outline = 6,
+        handmade_3d = 7,
+        infantile_sketch = 8,
+        pixel_art = 9,
+        antiquarian = 10,
+        bold_fantasy = 11,
+        child_book = 12,
+        cover = 13,
+        crosshatch = 14,
+        digital_engraving = 15,
+        expressionism = 16,
+        freehand_details = 17,
+        grain_20 = 18,
+        graphic_intensity = 19,
+        hard_comics = 20,
+        long_shadow = 21,
+        modern_folk = 22,
+        multicolor = 23,
+        neon_calm = 24,
+        noir = 25,
+        nostalgic_pastel = 26,
+        outline_details = 27,
+        pastel_gradient = 28,
+        pastel_sketch = 29,
+        pop_art = 30,
+        pop_renaissance = 31,
+        street_art = 32,
+        tablet_sketch = 33,
+        urban_glow = 34,
+        urban_sketching = 35,
+        vanilla_dreams = 36,
+        young_adult_book = 37,
+        young_adult_book_2 = 38,
+    }
+}
diff --git a/RecraftAPI/RecraftRealisticImageSubstyles.cs b/RecraftAPI/RecraftRealisticImageSubstyle.cs
similarity index 88%
rename from RecraftAPI/RecraftRealisticImageSubstyles.cs
rename to RecraftAPI/RecraftRealisticImageSubstyle.cs
index d5f9161..4c02c9b 100644
--- a/RecraftAPI/RecraftRealisticImageSubstyles.cs
+++ b/RecraftAPI/RecraftRealisticImageSubstyle.cs
@@ -1,25 +1,25 @@
-namespace RecraftAPIClient
-{
-    public enum RecraftRealisticImageSubstyles
-    {
-        b_and_w = 1,
-        enterprise = 2,
-        evening_light = 3,
-        faded_nostalgia = 4,
-        forest_life = 5,
-        hard_flash = 6,
-        hdr = 7,
-        motion_blur = 8,
-        mystic_naturalism = 9,
-        natural_light = 10,
-        natural_tones = 11,
-        organic_calm = 12,
-        real_life_glow = 13,
-        retro_realism = 14,
-        retro_snapshot = 15,
-        studio_portrait = 16,
-        urban_drama = 17,
-        village_realism = 18,
-        warm_folk = 19,
-    }
-}
+namespace RecraftAPIClient
+{
+    public enum RecraftRealisticImageSubstyle
+    {
+        b_and_w = 1,
+        enterprise = 2,
+        evening_light = 3,
+        faded_nostalgia = 4,
+        forest_life = 5,
+        hard_flash = 6,
+        hdr = 7,
+        motion_blur = 8,
+        mystic_naturalism = 9,
+        natural_light = 10,
+        natural_tones = 11,
+        organic_calm = 12,
+        real_life_glow = 13,
+        retro_realism = 14,
+        retro_snapshot = 15,
+        studio_portrait = 16,
+        urban_drama = 17,
+        village_realism = 18,
+        warm_folk = 19,
+    }
+}
diff --git a/RecraftAPI/RecraftVectorIllustrationSubstyles.cs b/RecraftAPI/RecraftVectorIllustrationSubstyle.cs
similarity index 88%
rename from RecraftAPI/RecraftVectorIllustrationSubstyles.cs
rename to RecraftAPI/RecraftVectorIllustrationSubstyle.cs
index 8867ae7..8e87997 100644
--- a/RecraftAPI/RecraftVectorIllustrationSubstyles.cs
+++ b/RecraftAPI/RecraftVectorIllustrationSubstyle.cs
@@ -1,29 +1,29 @@
-namespace RecraftAPIClient
-{
-    public enum RecraftVectorIllustrationSubstyles
-    {
-        bold_stroke = 1,
-        chemistry = 2,
-        colored_stencil = 3,
-        contour_pop_art = 4,
-        cosmics = 5,
-        cutout = 6,
-        depressive = 7,
-        editorial = 8,
-        emotional_flat = 9,
-        engraving = 10,
-        infographical = 11,
-        line_art = 12,
-        line_circuit = 13,
-        linocut = 14,
-        marker_outline = 15,
-        mosaic = 16,
-        naivector = 17,
-        roundish_flat = 18,
-        segmented_colors = 19,
-        sharp_contrast = 20,
-        thin = 21,
-        vector_photo = 22,
-        vivid_shapes = 23,
-    }
-}
+namespace RecraftAPIClient
+{
+    public enum RecraftVectorIllustrationSubstyle
+    {
+        bold_stroke = 1,
+        chemistry = 2,
+        colored_stencil = 3,
+        contour_pop_art = 4,
+        cosmics = 5,
+        cutout = 6,
+        depressive = 7,
+        editorial = 8,
+        emotional_flat = 9,
+        engraving = 10,
+        infographical = 11,
+        line_art = 12,
+        line_circuit = 13,
+        linocut = 14,
+        marker_outline = 15,
+        mosaic = 16,
+        naivector = 17,
+        roundish_flat = 18,
+        segmented_colors = 19,
+        sharp_contrast = 20,
+        thin = 21,
+        vector_photo = 22,
+        vivid_shapes = 23,
+    }
+}

From bed82b3336236eecbdc24ef1b91c6c85b979c048 Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Mon, 15 Sep 2025 22:38:59 -0700
Subject: [PATCH 16/78] fi

---
 IdeogramAPI/IdeogramOptions.cs                | 44 +++++-----
 .../RecraftDigitalIllustrationSubstyle.cs     | 88 +++++++++----------
 RecraftAPI/RecraftRealisticImageSubstyle.cs   | 50 +++++------
 .../RecraftVectorIllustrationSubstyle.cs      | 58 ++++++------
 4 files changed, 120 insertions(+), 120 deletions(-)

diff --git a/IdeogramAPI/IdeogramOptions.cs b/IdeogramAPI/IdeogramOptions.cs
index bd8408f..dd8d67b 100644
--- a/IdeogramAPI/IdeogramOptions.cs
+++ b/IdeogramAPI/IdeogramOptions.cs
@@ -1,23 +1,23 @@
-using MultiImageClient;
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramOptions
-    {
-        public IdeogramAspectRatio? AspectRatio { get; set; }
-        public IdeogramModel Model { get; set; }
-        public IdeogramMagicPromptOption MagicPromptOption { get; set; }
-        public IdeogramStyleType? StyleType { get; set; }
-        public string NegativePrompt { get; set; } = "";
-
-        public IdeogramOptions() { }
-        public IdeogramOptions(IdeogramOptions other)
-        {
-            AspectRatio = other.AspectRatio;
-            Model = other.Model;
-            MagicPromptOption = other.MagicPromptOption;
-            StyleType = other.StyleType;
-            NegativePrompt = other.NegativePrompt;
-        }
-    }
+using MultiImageClient;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramOptions
+    {
+        public IdeogramAspectRatio? AspectRatio { get; set; }
+        public IdeogramModel Model { get; set; }
+        public IdeogramMagicPromptOption MagicPromptOption { get; set; }
+        public IdeogramStyleType? StyleType { get; set; }
+        public string NegativePrompt { get; set; } = "";
+
+        public IdeogramOptions() { }
+        public IdeogramOptions(IdeogramOptions other)
+        {
+            AspectRatio = other.AspectRatio;
+            Model = other.Model;
+            MagicPromptOption = other.MagicPromptOption;
+            StyleType = other.StyleType;
+            NegativePrompt = other.NegativePrompt;
+        }
+    }
 }
\ No newline at end of file
diff --git a/RecraftAPI/RecraftDigitalIllustrationSubstyle.cs b/RecraftAPI/RecraftDigitalIllustrationSubstyle.cs
index 5304297..a918937 100644
--- a/RecraftAPI/RecraftDigitalIllustrationSubstyle.cs
+++ b/RecraftAPI/RecraftDigitalIllustrationSubstyle.cs
@@ -1,44 +1,44 @@
-namespace RecraftAPIClient
-{
-    public enum RecraftDigitalIllustrationSubstyle
-    {
-        _2d_art_poster = 1,
-        _2d_art_poster_2 = 2,
-        engraving_color = 3,
-        grain = 4,
-        hand_drawn = 5,
-        hand_drawn_outline = 6,
-        handmade_3d = 7,
-        infantile_sketch = 8,
-        pixel_art = 9,
-        antiquarian = 10,
-        bold_fantasy = 11,
-        child_book = 12,
-        cover = 13,
-        crosshatch = 14,
-        digital_engraving = 15,
-        expressionism = 16,
-        freehand_details = 17,
-        grain_20 = 18,
-        graphic_intensity = 19,
-        hard_comics = 20,
-        long_shadow = 21,
-        modern_folk = 22,
-        multicolor = 23,
-        neon_calm = 24,
-        noir = 25,
-        nostalgic_pastel = 26,
-        outline_details = 27,
-        pastel_gradient = 28,
-        pastel_sketch = 29,
-        pop_art = 30,
-        pop_renaissance = 31,
-        street_art = 32,
-        tablet_sketch = 33,
-        urban_glow = 34,
-        urban_sketching = 35,
-        vanilla_dreams = 36,
-        young_adult_book = 37,
-        young_adult_book_2 = 38,
-    }
-}
+namespace RecraftAPIClient
+{
+    public enum RecraftDigitalIllustrationSubstyle
+    {
+        _2d_art_poster = 1,
+        _2d_art_poster_2 = 2,
+        engraving_color = 3,
+        grain = 4,
+        hand_drawn = 5,
+        hand_drawn_outline = 6,
+        handmade_3d = 7,
+        infantile_sketch = 8,
+        pixel_art = 9,
+        antiquarian = 10,
+        bold_fantasy = 11,
+        child_book = 12,
+        cover = 13,
+        crosshatch = 14,
+        digital_engraving = 15,
+        expressionism = 16,
+        freehand_details = 17,
+        grain_20 = 18,
+        graphic_intensity = 19,
+        hard_comics = 20,
+        long_shadow = 21,
+        modern_folk = 22,
+        multicolor = 23,
+        neon_calm = 24,
+        noir = 25,
+        nostalgic_pastel = 26,
+        outline_details = 27,
+        pastel_gradient = 28,
+        pastel_sketch = 29,
+        pop_art = 30,
+        pop_renaissance = 31,
+        street_art = 32,
+        tablet_sketch = 33,
+        urban_glow = 34,
+        urban_sketching = 35,
+        vanilla_dreams = 36,
+        young_adult_book = 37,
+        young_adult_book_2 = 38,
+    }
+}
diff --git a/RecraftAPI/RecraftRealisticImageSubstyle.cs b/RecraftAPI/RecraftRealisticImageSubstyle.cs
index 4c02c9b..85792fe 100644
--- a/RecraftAPI/RecraftRealisticImageSubstyle.cs
+++ b/RecraftAPI/RecraftRealisticImageSubstyle.cs
@@ -1,25 +1,25 @@
-namespace RecraftAPIClient
-{
-    public enum RecraftRealisticImageSubstyle
-    {
-        b_and_w = 1,
-        enterprise = 2,
-        evening_light = 3,
-        faded_nostalgia = 4,
-        forest_life = 5,
-        hard_flash = 6,
-        hdr = 7,
-        motion_blur = 8,
-        mystic_naturalism = 9,
-        natural_light = 10,
-        natural_tones = 11,
-        organic_calm = 12,
-        real_life_glow = 13,
-        retro_realism = 14,
-        retro_snapshot = 15,
-        studio_portrait = 16,
-        urban_drama = 17,
-        village_realism = 18,
-        warm_folk = 19,
-    }
-}
+namespace RecraftAPIClient
+{
+    public enum RecraftRealisticImageSubstyle
+    {
+        b_and_w = 1,
+        enterprise = 2,
+        evening_light = 3,
+        faded_nostalgia = 4,
+        forest_life = 5,
+        hard_flash = 6,
+        hdr = 7,
+        motion_blur = 8,
+        mystic_naturalism = 9,
+        natural_light = 10,
+        natural_tones = 11,
+        organic_calm = 12,
+        real_life_glow = 13,
+        retro_realism = 14,
+        retro_snapshot = 15,
+        studio_portrait = 16,
+        urban_drama = 17,
+        village_realism = 18,
+        warm_folk = 19,
+    }
+}
diff --git a/RecraftAPI/RecraftVectorIllustrationSubstyle.cs b/RecraftAPI/RecraftVectorIllustrationSubstyle.cs
index 8e87997..ae8ba6e 100644
--- a/RecraftAPI/RecraftVectorIllustrationSubstyle.cs
+++ b/RecraftAPI/RecraftVectorIllustrationSubstyle.cs
@@ -1,29 +1,29 @@
-namespace RecraftAPIClient
-{
-    public enum RecraftVectorIllustrationSubstyle
-    {
-        bold_stroke = 1,
-        chemistry = 2,
-        colored_stencil = 3,
-        contour_pop_art = 4,
-        cosmics = 5,
-        cutout = 6,
-        depressive = 7,
-        editorial = 8,
-        emotional_flat = 9,
-        engraving = 10,
-        infographical = 11,
-        line_art = 12,
-        line_circuit = 13,
-        linocut = 14,
-        marker_outline = 15,
-        mosaic = 16,
-        naivector = 17,
-        roundish_flat = 18,
-        segmented_colors = 19,
-        sharp_contrast = 20,
-        thin = 21,
-        vector_photo = 22,
-        vivid_shapes = 23,
-    }
-}
+namespace RecraftAPIClient
+{
+    public enum RecraftVectorIllustrationSubstyle
+    {
+        bold_stroke = 1,
+        chemistry = 2,
+        colored_stencil = 3,
+        contour_pop_art = 4,
+        cosmics = 5,
+        cutout = 6,
+        depressive = 7,
+        editorial = 8,
+        emotional_flat = 9,
+        engraving = 10,
+        infographical = 11,
+        line_art = 12,
+        line_circuit = 13,
+        linocut = 14,
+        marker_outline = 15,
+        mosaic = 16,
+        naivector = 17,
+        roundish_flat = 18,
+        segmented_colors = 19,
+        sharp_contrast = 20,
+        thin = 21,
+        vector_photo = 22,
+        vivid_shapes = 23,
+    }
+}

From 6d435505af0852ecec18708a2ecefb4cfa88ada9 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Tue, 16 Sep 2025 15:05:14 -0700
Subject: [PATCH 17/78] fixed a bunch of things in the Label method of output. 
 Also added costs to the generated images.

---
 .../Implementation/ImageSaving.cs             |  5 +-
 MultiImageClient/OpenAIGPTImageOneQuality.cs  | 11 +++
 MultiImageClient/Program.cs                   | 23 +++---
 MultiImageClient/Services/BFLGenerator.cs     | 28 +++++--
 MultiImageClient/Services/Dalle3Generator.cs  | 19 ++++-
 .../Services/GptImageOneGenerator.cs          | 78 +++++++++++++++----
 .../Services/IdeogramGenerator.cs             | 55 +++++++++++--
 MultiImageClient/Services/RecraftGenerator.cs | 24 +++++-
 .../promptTransformation/IImageGenerator.cs   |  3 +
 9 files changed, 202 insertions(+), 44 deletions(-)
 create mode 100644 MultiImageClient/OpenAIGPTImageOneQuality.cs

diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 6470b98..e97c1aa 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -139,6 +139,9 @@ await TextFormatting.JustAddSimpleTextToBottomAsync(
                     else if (saveType == SaveType.Label)
                     {
                         var rightParts = generator.GetRightParts();
+                        var costPart = $"{generator.GetCost()} $USD";
+                        rightParts.Add(costPart);
+                        rightParts.Add("MultiImageClient");
                         using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(imageBytes);
                         var label = MakeLabelGeneral(originalImage.Width, result.PromptDetails.Prompt, rightParts);
                         
@@ -187,7 +190,7 @@ await TextFormatting.SaveImageAndAnnotate(
 
         public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rightParts)
         {
-            var rightSideWidth = 300;
+            var rightSideWidth = 200;
             var leftSideWidth = width - rightSideWidth;
             var padding = 5;
             var fontSize = 24;
diff --git a/MultiImageClient/OpenAIGPTImageOneQuality.cs b/MultiImageClient/OpenAIGPTImageOneQuality.cs
new file mode 100644
index 0000000..3500831
--- /dev/null
+++ b/MultiImageClient/OpenAIGPTImageOneQuality.cs
@@ -0,0 +1,11 @@
+namespace MultiImageClient
+{
+    /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
+    public enum OpenAIGPTImageOneQuality
+    {
+        auto = 1,
+        low = 2,
+        medium = 3,
+        high = 4,
+    }
+}
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 73b5509..6a32f60 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -8,11 +8,11 @@
 using System.Collections.Generic;
 using System.Drawing.Printing;
 using System.Linq;
+using System.Security.Cryptography.X509Certificates;
 using System.Threading.Tasks;
 
 namespace MultiImageClient
 {
-    /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
     public class Program
     {
         private static ClaudeService _ClaudeService { get; set; }
@@ -32,19 +32,20 @@ static async Task Main(string[] args)
             var dalle3 = new Dalle3Generator(settings.OpenAIApiKey, concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, stats, "");
             var recraft1 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.digital_engraving,  null, stats, "");
             var recraft2 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
-            var recraft3 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
-            var recraft4 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.b_and_w, stats, "");
-            var recraft5 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.vivid_shapes, null, null, stats, "");
-            var recraft6 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.motion_blur, stats, "");
-            var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", stats, "");
-            var ideogram2 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_2_3, null, "", stats, "");
+            var recraft3 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, stats, "");
+            var recraft4 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, stats, "");
+            var recraft5 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.infographical, null, null, stats, "");
+            var recraft6 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.natural_light, stats, "");
+            var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, stats, "");
+            var ideogram2 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_2_3, null, "", IdeogramModel.V_2, stats, "");
             var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, settings.BFLApiKey, concurrency, false, "3:2", false, 1024, 1024, stats, "");
             var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, false, "1:1", false, 2048, 1768, stats, "");
-            var gptimage1 = new GptImageOneGenerator(settings.OpenAIApiKey, concurrency, "auto", "low", "high", stats, "");   
+            
+            var gptimage1 = new GptImageOneGenerator(settings.OpenAIApiKey, concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, stats, "");   
 
-            var myGenerators = new List<IImageGenerator>() { dalle3, recraft6, ideogram1, ideogram2, bfl1, bfl2, gptimage1 };
+            //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram1, ideogram2, bfl1, bfl2, recraft3, recraft4,  recraft6, gptimage1 };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-            //var myGenerators = new List<IImageGenerator>() { bfl1, bfl2};
+            var myGenerators = new List<IImageGenerator>() { gptimage1};
             var imageManager = new ImageManager(settings, stats);
 
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
@@ -85,7 +86,7 @@ static async Task Main(string[] args)
                 }
 
                 var ii = 0;
-                while (ii < 4)
+                while (ii < 1)
                 {
 
                     // Create tasks for all generators for this prompt
diff --git a/MultiImageClient/Services/BFLGenerator.cs b/MultiImageClient/Services/BFLGenerator.cs
index e826783..b507b0d 100644
--- a/MultiImageClient/Services/BFLGenerator.cs
+++ b/MultiImageClient/Services/BFLGenerator.cs
@@ -9,6 +9,7 @@
 
 using System;
 using System.Collections.Generic;
+using System.ComponentModel;
 using System.Data;
 using System.Drawing;
 using System.IO;
@@ -73,8 +74,26 @@ public BFLGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurr
             _stats = stats;
             _name = string.IsNullOrEmpty(name) ? "" : name;
         }
+        public List<string> GetRightParts()
+        {
+            var upsamplingPart = _promptUpsampling ? "prompt rewritten." : "";
+            var rightsideContents = new List<string>() { _apiType.ToString(), upsamplingPart};
+            return rightsideContents;
+        }
 
-
+        // https://bfl.ai/pricing
+        public decimal GetCost()
+        {
+            if (_apiType == ImageGeneratorApiType.BFLv11)
+            {
+                return 0.04m;
+            }
+            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
+            {
+                return 0.06m;
+                    }
+            else { throw new Exception("Q"); }
+        }
         public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
         {
             await _bflSemaphore.WaitAsync();
@@ -170,11 +189,6 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
             }
         }
 
-        public List<string> GetRightParts()
-        {
-            var upsamplingPart = _promptUpsampling ? "prompt rewritten." : "";
-            var rightsideContents = new List<string>() { _apiType.ToString(), upsamplingPart };
-            return rightsideContents;
-        }        
+   
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/Services/Dalle3Generator.cs
index 814d00b..68aa4f4 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -5,6 +5,7 @@
 
 using System;
 using System.Collections.Generic;
+using System.ComponentModel;
 using System.Drawing;
 
 using System.Threading;
@@ -47,6 +48,22 @@ public string GetFilenamePart(PromptDetails pd)
             return res;
         }
 
+        public decimal GetCost()
+        {
+            var ss = _size.ToString();
+            switch (ss)
+            {
+                case "1024x1024":
+                    return 0.08m;
+                case "1792x1024":
+                    return 0.12m;
+                case "1024x1792":
+                    return 0.12m;
+                default:
+                    throw new Exception("few");
+            }
+        }
+
         public List<string> GetRightParts()
         {
             var qualpt = "";
@@ -56,7 +73,7 @@ public List<string> GetRightParts()
             }
             var res = $"dalle3-{_name}{qualpt}";
 
-            var rightsideContents = new List<string>() { "dall-e-3", qualpt, _name};
+            var rightsideContents = new List<string>() { "dall-e-3", _name, qualpt};
 
             return rightsideContents;
         }
diff --git a/MultiImageClient/Services/GptImageOneGenerator.cs b/MultiImageClient/Services/GptImageOneGenerator.cs
index 6bfa33c..bd12eee 100644
--- a/MultiImageClient/Services/GptImageOneGenerator.cs
+++ b/MultiImageClient/Services/GptImageOneGenerator.cs
@@ -3,6 +3,7 @@
 
 using System;
 using System.Collections.Generic;
+using System.ComponentModel;
 using System.Diagnostics;
 using System.Drawing;
 using System.Net.Http;
@@ -14,6 +15,7 @@
 
 namespace MultiImageClient
 {
+
     public class GptImageOneGenerator : IImageGenerator
     {
         private SemaphoreSlim _gptImageOneSemaphore;
@@ -21,10 +23,10 @@ public class GptImageOneGenerator : IImageGenerator
         private MultiClientRunStats _stats;
         private string _size;
         private string _moderation;
-        private string _quality;
+        private OpenAIGPTImageOneQuality _quality;
         private string _name;
 
-        public GptImageOneGenerator(string apiKey, int maxConcurrency, string size, string moderation, string quality, MultiClientRunStats stats, string name)
+        public GptImageOneGenerator(string apiKey, int maxConcurrency, string size, string moderation, OpenAIGPTImageOneQuality quality, MultiClientRunStats stats, string name)
         {
             _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
 
@@ -48,33 +50,81 @@ public string GetFilenamePart(PromptDetails pd)
             }
 
             var qualitypt = "";
-            if (_quality != "high")
+            if (_quality != OpenAIGPTImageOneQuality.auto)
             {
                 qualitypt = $" qual{_quality}";
             }
-            var res = $"gpt-1_{_name}{modpt}{qualitypt}";
+
+            var sizept = _size.ToString();
+
+            var res = $"gpt-1_{_name}{modpt}{sizept}{qualitypt}";
             return res;
         }
+        public decimal GetCost()
+        {
+            if (_size == "1024x1024")
+            {
+                switch (_quality)
+                {
+                    case OpenAIGPTImageOneQuality.low:
+                        return 0.01088m;
+                    case OpenAIGPTImageOneQuality.medium:
+                        return 0.04224m;
+                    case OpenAIGPTImageOneQuality.high:
+                        return 0.1664m;
+                    default:
+                        throw new Exception("Swe");
+                }
+            }
+            else if (_size == "1024x1536")
+            {
+                switch (_quality)
+                {
+                    case OpenAIGPTImageOneQuality.low:
+                        return 0.01632m;
+                    case OpenAIGPTImageOneQuality.medium:
+                        return 0.06336m;
+                    case OpenAIGPTImageOneQuality.high:
+                        return 0.24960m;
+                    default:
+                        throw new Exception("S");
+                }
+            }
+            else if (_size == "1536x1024")
+            {
+                switch (_quality)
+                {
+                    case OpenAIGPTImageOneQuality.low:
+                        return 0.016m;
+                    case OpenAIGPTImageOneQuality.medium:
+                        return 0.06272m;
+                    case OpenAIGPTImageOneQuality.high:
+                        return 0.24832m;
+                    default:
+                        throw new Exception("S");
+                }
+            }
+            else
+            {
+                throw new Exception("bad size.");
+            }
+        }
 
         public List<string> GetRightParts()
         {
             var modpt = "";
-            if (_moderation != "low")
-            {
-                modpt = $" mod{_moderation}";
-            }
+            modpt = $" moderation {_moderation}";
 
             var qualitypt = "";
-            if (_quality != "high")
-            {
-                qualitypt = $" qual{_quality}";
-            }
+            qualitypt = $"quality {_quality}";
 
-            var rightsideContents = new List<string>() { "gpt-image-1", _name , modpt, qualitypt};
+            var sizept = $"size {_size.ToString()}";
+            var rightsideContents = new List<string>() { "gpt-image-1", _name, sizept, qualitypt, modpt };
 
             return rightsideContents;
         }
 
+
         public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
         {
             await _gptImageOneSemaphore.WaitAsync();
@@ -87,7 +137,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                     model = "gpt-image-1",
                     prompt = promptDetails.Prompt,
                     moderation = _moderation,
-                    quality = _quality,
+                    quality = _quality.ToString(),
                     n = 1,
                     size = _size,
                 };
diff --git a/MultiImageClient/Services/IdeogramGenerator.cs b/MultiImageClient/Services/IdeogramGenerator.cs
index cb55f04..1a82410 100644
--- a/MultiImageClient/Services/IdeogramGenerator.cs
+++ b/MultiImageClient/Services/IdeogramGenerator.cs
@@ -20,10 +20,11 @@ public class IdeogramGenerator : IImageGenerator
         private IdeogramStyleType? _ideoGramStyleType;
         private string _negativePrompt;
         private MultiClientRunStats _stats;
+        private IdeogramModel _model;
         private string _name;
 
 
-        public IdeogramGenerator(string apiKey, int maxConcurrency, IdeogramMagicPromptOption magicPrompt, IdeogramAspectRatio aspectRatio, IdeogramStyleType? styleType, string negativePrompt, MultiClientRunStats stats, string name)
+        public IdeogramGenerator(string apiKey, int maxConcurrency, IdeogramMagicPromptOption magicPrompt, IdeogramAspectRatio aspectRatio, IdeogramStyleType? styleType, string negativePrompt, IdeogramModel model, MultiClientRunStats stats, string name)
         {
             _ideogramClient = new IdeogramClient(apiKey);
             _ideogramSemaphore = new SemaphoreSlim(maxConcurrency);
@@ -31,6 +32,7 @@ public IdeogramGenerator(string apiKey, int maxConcurrency, IdeogramMagicPromptO
             _aspectRatio = aspectRatio;
             _ideoGramStyleType = styleType;
             _negativePrompt = negativePrompt;
+            _model = model;
             _stats = stats;
             _name = string.IsNullOrEmpty(name) ? "" : name;
         }
@@ -53,11 +55,50 @@ public string GetFilenamePart(PromptDetails pd)
             {
                 neg = $" neg_{clneg}";
             }
-            var res = $"ideogramv2{_name}_magic_{_magicPrompt.ToString().ToLowerInvariant()} {_aspectRatio.ToString().ToLowerInvariant().Replace("aspect_","ar").Replace("_","x")} {stylepart}{neg}";
+            
+            var verpart = "";
+            switch (_model)
+            {
+                case IdeogramModel.V_1:
+                    verpart = "v1";
+                    break;
+                case IdeogramModel.V_2:
+                    verpart = "v2";
+                    break;
+                case IdeogramModel.V_1_TURBO:
+                    verpart = "v1turbo";
+                    break;
+                case IdeogramModel.V_2_TURBO:
+                    verpart = "v2tirbp";
+                    break;
+                default:
+                    throw new Exception("Q");
+            }
+
+
+            var res = $"ideogram_{verpart}{_name}_magic_{_magicPrompt.ToString().ToLowerInvariant()} {_aspectRatio.ToString().ToLowerInvariant().Replace("aspect_","ar").Replace("_","x")} {stylepart}{neg}";
 
             return res;
         }
 
+        // https://ideogram.ai/features/api-pricing
+        public decimal GetCost()
+        {
+            switch (_model)
+            {
+                case IdeogramModel.V_1:
+                    return 0.06m;
+                case IdeogramModel.V_1_TURBO:
+                    return 0.02m;
+                case IdeogramModel.V_2:
+                    return 0.08m;
+                case IdeogramModel.V_2_TURBO:
+                    return 0.05m;
+                default:
+                    throw new Exception("Q");
+            }
+        }
+
         public List<string> GetRightParts()
         {
             var neg = "";
@@ -65,20 +106,20 @@ public List<string> GetRightParts()
             if (_ideoGramStyleType == null)
             {
                 //auto
-                stylepart = "";
+                stylepart = "style auto";
             }
             else
             {
-                stylepart = $"_{_ideoGramStyleType.ToString().ToLowerInvariant()}";
+                stylepart = $"style {_ideoGramStyleType.ToString().ToLowerInvariant()}";
             }
             var clneg = TextUtils.CleanPrompt(_negativePrompt);
             if (!string.IsNullOrEmpty(clneg))
             {
-                neg = $" neg_{clneg}";
+                neg = $" neg {clneg}";
             }
-            var res = $"ideogramv2{_name}_magic_{_magicPrompt.ToString().ToLowerInvariant()} {_aspectRatio.ToString().ToLowerInvariant().Replace("aspect_", "ar").Replace("_", "x")} {stylepart}{neg}";
+            var verpart = _model.ToString().Replace("_", "").ToLowerInvariant();
 
-            var rightsideContents = new List<string>() { "ideogram_v2", _name, stylepart, clneg, $"magicprompt_{_magicPrompt.ToString()}", _aspectRatio.ToString().ToLowerInvariant().Replace("aspect_", "ar").Replace("_", "x") };
+            var rightsideContents = new List<string>() { $"ideogram {verpart}", _name, stylepart, neg, $"magicprompt_{_magicPrompt.ToString()}", _aspectRatio.ToString().ToLowerInvariant().Replace("aspect_", "ar").Replace("_", "x") };
 
             return rightsideContents;
         }
diff --git a/MultiImageClient/Services/RecraftGenerator.cs b/MultiImageClient/Services/RecraftGenerator.cs
index 9aaf260..6d866b6 100644
--- a/MultiImageClient/Services/RecraftGenerator.cs
+++ b/MultiImageClient/Services/RecraftGenerator.cs
@@ -1,4 +1,6 @@
-using RecraftAPIClient;
+using IdeogramAPIClient;
+
+using RecraftAPIClient;
 
 using SixLabors.ImageSharp;
 
@@ -63,6 +65,22 @@ public string GetFilenamePart(PromptDetails pd)
             return res;
         }
 
+        // https://www.recraft.ai/docs/api-reference/pricing
+        public decimal GetCost()
+        {
+            switch (_style)
+            {
+                case RecraftStyle.digital_illustration:
+                    return 0.04m;
+                case RecraftStyle.realistic_image:
+                    return 0.04m; //unclear actually.
+                case RecraftStyle.vector_illustration:
+                    return 0.08m;
+                default:
+                    throw new Exception("whoah");
+            }
+        }
+
         public List<string> GetRightParts()
         {
             var usingSubstyle = "";
@@ -78,8 +96,8 @@ public List<string> GetRightParts()
             {
                 usingSubstyle = _substyleVector.ToString();
             }
-            
-            var rightsideContents = new List<string>() { "recraft_v3" ,_style.ToString(), usingSubstyle, _name, };
+
+            var rightsideContents = new List<string>() { "recraft_v3", _name, _style.ToString(), usingSubstyle};
             return rightsideContents;
         }
 
diff --git a/MultiImageClient/promptTransformation/IImageGenerator.cs b/MultiImageClient/promptTransformation/IImageGenerator.cs
index 84af9c6..d22081b 100644
--- a/MultiImageClient/promptTransformation/IImageGenerator.cs
+++ b/MultiImageClient/promptTransformation/IImageGenerator.cs
@@ -24,5 +24,8 @@ public interface IImageGenerator
 
         /// return just the parts on the right, we know everything else.
         public abstract List<string> GetRightParts();
+        
+        /// I suppose we should tell/show users how much images cost.
+        public abstract decimal GetCost();
     }
 }

From 929a123e7d101d5b052dc0cdda15847a394b3c51 Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Tue, 16 Sep 2025 15:05:30 -0700
Subject: [PATCH 18/78] more

---
 MultiImageClient/OpenAIGPTImageOneQuality.cs | 22 ++++++++++----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/MultiImageClient/OpenAIGPTImageOneQuality.cs b/MultiImageClient/OpenAIGPTImageOneQuality.cs
index 3500831..792cd7e 100644
--- a/MultiImageClient/OpenAIGPTImageOneQuality.cs
+++ b/MultiImageClient/OpenAIGPTImageOneQuality.cs
@@ -1,11 +1,11 @@
-namespace MultiImageClient
-{
-    /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
-    public enum OpenAIGPTImageOneQuality
-    {
-        auto = 1,
-        low = 2,
-        medium = 3,
-        high = 4,
-    }
-}
+namespace MultiImageClient
+{
+    /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
+    public enum OpenAIGPTImageOneQuality
+    {
+        auto = 1,
+        low = 2,
+        medium = 3,
+        high = 4,
+    }
+}

From 1c031832c63371c4f612a5503557f87704c7c4c7 Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Tue, 16 Sep 2025 15:59:54 -0700
Subject: [PATCH 19/78] ideogramV2a

---
 IdeogramAPI/request/options/IdeogramModel.cs   |  4 +++-
 MultiImageClient/Program.cs                    | 17 ++++++++++-------
 MultiImageClient/Services/IdeogramGenerator.cs | 14 ++++++++++++--
 3 files changed, 25 insertions(+), 10 deletions(-)

diff --git a/IdeogramAPI/request/options/IdeogramModel.cs b/IdeogramAPI/request/options/IdeogramModel.cs
index c248fb4..f7da334 100644
--- a/IdeogramAPI/request/options/IdeogramModel.cs
+++ b/IdeogramAPI/request/options/IdeogramModel.cs
@@ -5,7 +5,9 @@ public enum IdeogramModel
         V_1,
         V_1_TURBO,
         V_2,
-        V_2_TURBO
+        V_2_TURBO,
+        V_2A,
+        V_2A_TURBO,
         // todo update to use ideogram 3! https://developer.ideogram.ai/api-reference/api-reference/generate-v3
     }
 }
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 6a32f60..4fd76db 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -30,22 +30,25 @@ static async Task Main(string[] args)
             /// ------------------- MAKING SERVICES ----------------------------
 
             var dalle3 = new Dalle3Generator(settings.OpenAIApiKey, concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, stats, "");
-            var recraft1 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.digital_engraving,  null, stats, "");
-            var recraft2 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
+            var recraft1 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.hard_comics,  null, stats, "");
+            //var recraft2 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
             var recraft3 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, stats, "");
             var recraft4 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, stats, "");
             var recraft5 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.infographical, null, null, stats, "");
             var recraft6 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.natural_light, stats, "");
-            var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, stats, "");
-            var ideogram2 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_2_3, null, "", IdeogramModel.V_2, stats, "");
+            //var recraft7 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
+            //var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, stats, "");
+            var ideogram2 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, stats, "");
+            //var ideogram3 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A, stats, "");
+            var ideogram4 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, stats, "");
             var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, settings.BFLApiKey, concurrency, false, "3:2", false, 1024, 1024, stats, "");
             var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, false, "1:1", false, 2048, 1768, stats, "");
             
-            var gptimage1 = new GptImageOneGenerator(settings.OpenAIApiKey, concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, stats, "");   
+            var gptimage1 = new GptImageOneGenerator(settings.OpenAIApiKey, concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, stats, "");
 
-            //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram1, ideogram2, bfl1, bfl2, recraft3, recraft4,  recraft6, gptimage1 };
+            var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, recraft3, recraft5, recraft6, ideogram4, gptimage1 };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-            var myGenerators = new List<IImageGenerator>() { gptimage1};
+            //var myGenerators = new List<IImageGenerator>() { , ideogram2,  ideogram4}; 
             var imageManager = new ImageManager(settings, stats);
 
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
diff --git a/MultiImageClient/Services/IdeogramGenerator.cs b/MultiImageClient/Services/IdeogramGenerator.cs
index 1a82410..a44a21c 100644
--- a/MultiImageClient/Services/IdeogramGenerator.cs
+++ b/MultiImageClient/Services/IdeogramGenerator.cs
@@ -66,10 +66,16 @@ public string GetFilenamePart(PromptDetails pd)
                     verpart = "v2";
                     break;
                 case IdeogramModel.V_1_TURBO:
-                    verpart = "v1turbo";
+                    verpart = "v1_turbo";
                     break;
                 case IdeogramModel.V_2_TURBO:
-                    verpart = "v2tirbp";
+                    verpart = "v2_turbo";
+                    break;
+                case IdeogramModel.V_2A:
+                    verpart = "v2a";
+                    break;
+                case IdeogramModel.V_2A_TURBO:
+                    verpart = "v2a_turbo";
                     break;
                 default:
                     throw new Exception("Q");
@@ -94,6 +100,10 @@ public decimal GetCost()
                     return 0.08m;
                 case IdeogramModel.V_2_TURBO:
                     return 0.05m;
+                case IdeogramModel.V_2A:
+                    return 0.04m;
+                case IdeogramModel.V_2A_TURBO:
+                    return 0.025m;
                 default:
                     throw new Exception("Q");
             }

From 86dc7fa86d64c419c5a3b89de4ed2016e3f25abf Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 12:13:03 -0700
Subject: [PATCH 20/78] combiner stuff

---
 MultiImageClient/ImageCombiner.cs             | 470 ++++++++++++------
 MultiImageClient/ImageManager.cs              |  57 ++-
 .../Implementation/ImageSaving.cs             |  39 +-
 .../Implementation/TaskProcessResult.cs       |  30 +-
 MultiImageClient/Program.cs                   |  64 +--
 .../SamePromptMultipleTargetsWorkflow.cs      |  10 +-
 MultiImageClient/Services/BFLGenerator.cs     |   4 +-
 7 files changed, 443 insertions(+), 231 deletions(-)

diff --git a/MultiImageClient/ImageCombiner.cs b/MultiImageClient/ImageCombiner.cs
index 4904815..647ed75 100644
--- a/MultiImageClient/ImageCombiner.cs
+++ b/MultiImageClient/ImageCombiner.cs
@@ -1,154 +1,324 @@
-using System;
-using System.Collections.Generic;
-using System.Drawing.Text;
-using System.Drawing;
-using System.IO;
-using System.Linq;
-using System.Net;
-using System.Text;
-using System.Threading.Tasks;
-using System.Timers;
+using SixLabors.Fonts;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Drawing.Processing;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.ImageSharp.Processing;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    /// <summary>
+    /// Combines multiple images from different generators into a single horizontal comparison image.
+    /// </summary>
+    public static class ImageCombiner
+    {
+        private const int PLACEHOLDER_WIDTH = 300;
+        private const int PADDING = 10;
+        private const int GENERATOR_NAME_FONT_SIZE = 40;
+        private const int PROMPT_FONT_SIZE = 80;
+        private const float LINE_SPACING = 1.15f;
+
+        public static async Task<string> CombineImagesHorizontallyAsync(
+            IEnumerable<TaskProcessResult> results,
+            string prompt,
+            Settings settings)
+        {
+            // Prepare font
+            var fontFamily = GetSystemFont();
+            var generatorFont = fontFamily.CreateFont(GENERATOR_NAME_FONT_SIZE, FontStyle.Bold);
+            var promptFont = fontFamily.CreateFont(PROMPT_FONT_SIZE, FontStyle.Regular);
+
+            // Load all images and calculate dimensions
+            var loadedImages = LoadImages(results);
+            var dimensions = CalculateCombinedDimensions(loadedImages, prompt, generatorFont, promptFont);
+
+            // Create combined image
+            using var combinedImage = new Image<Rgba32>(dimensions.TotalWidth, dimensions.TotalHeight);
 
-namespace MultiImageClient
-{
-    internal class ImageCombiner
-    {
-        /// when combining images generated by multiple sources, if one fails, use this as the placeholder image width.
-        private static int failWidth = 300;
+            combinedImage.Mutate(ctx =>
+            {
+                // Set antialiasing
+                ctx.SetGraphicsOptions(new GraphicsOptions
+                {
+                    Antialias = true,
+                    AntialiasSubpixelDepth = 16
+                });
+
+                // Fill background
+                ctx.Fill(Color.White);
+
+                // Draw images and subtitles
+                DrawImagesWithSubtitles(ctx, loadedImages, dimensions.MaxImageHeight, generatorFont);
+
+                // Draw prompt at bottom
+                DrawPromptText(ctx, prompt, promptFont, dimensions);
+            });
+
+            // Save the combined image
+            var outputPath = await SaveCombinedImageAsync(combinedImage, prompt, settings);
+
+            // Dispose loaded images
+            foreach (var loadedImage in loadedImages)
+            {
+                loadedImage.Image?.Dispose();
+            }
+
+            return outputPath;
+        }
+
+        private static IEnumerable<LoadedImage> LoadImages(IEnumerable<TaskProcessResult> results)
+        {
+            var loadedImages = new List<LoadedImage>();
+
+            foreach (var result in results)
+            {
+                if (result.IsSuccess)
+                {
+                    try
+                    {
+                        // Use GetImageBytes() to get the stored bytes
+                        var imageBytes = result.GetImageBytes();
+                        if (imageBytes != null && imageBytes.Length > 0)
+                        {
+                            var image = Image.Load<Rgba32>(imageBytes);
+                            loadedImages.Add(new LoadedImage
+                            {
+                                Success = true,
+                                Image = image,
+                                GeneratorName = result.ImageGenerator.ToString(),
+                                Width = image.Width,
+                                Height = image.Height
+                            });
+                        }
+                        else
+                        {
+                            // Success but no bytes somehow
+                            Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
+                            loadedImages.Add(CreatePlaceholderImage(result.ImageGenerator.ToString(), false));
+                        }
+                    }
+                    catch (Exception ex)
+                    {
+                        // GetImageBytes() might throw if bytes weren't set, or image loading failed
+                        Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
+                        loadedImages.Add(CreatePlaceholderImage(result.ImageGenerator.ToString(), false));
+                    }
+                }
+                else
+                {
+                    // Failed result - show placeholder with error
+                    var errorMsg = !string.IsNullOrEmpty(result.ErrorMessage)
+                        ? result.ErrorMessage
+                        : result.GenericImageErrorType.ToString();
+                    Logger.Log($"Result failed for {result.ImageGenerator}: {errorMsg}");
+                    loadedImages.Add(CreatePlaceholderImage(result.ImageGenerator.ToString(), false));
+                }
+            }
+
+            return loadedImages.OrderBy(el=>el.GeneratorName);
+        }
+
+        private static LoadedImage CreatePlaceholderImage(string generatorName, bool success)
+        {
+            return new LoadedImage
+            {
+                Success = success,
+                Image = null,
+                GeneratorName = generatorName,
+                Width = PLACEHOLDER_WIDTH,
+                Height = PLACEHOLDER_WIDTH
+            };
+        }
+
+        private static ImageDimensions CalculateCombinedDimensions(
+            IEnumerable<LoadedImage> loadedImages,
+            string prompt,
+            Font subtitleFont,
+            Font promptFont)
+        {
+            int totalWidth = loadedImages.Sum(img => img.Width);
+            int maxImageHeight = loadedImages.Where(img => img.Success).Any()
+                ? loadedImages.Where(img => img.Success).Max(img => img.Height)
+                : PLACEHOLDER_WIDTH;
+
+            // Calculate text heights
+            var subtitleHeight = MeasureTextHeight(loadedImages.Select(img => GetStatusText(img)), subtitleFont);
+            var promptHeight = MeasureTextHeight(new[] { prompt }, promptFont);
+
+            return new ImageDimensions
+            {
+                TotalWidth = totalWidth,
+                MaxImageHeight = maxImageHeight,
+                SubtitleHeight = subtitleHeight + PADDING,
+                PromptHeight = promptHeight + PADDING,
+                TotalHeight = maxImageHeight + subtitleHeight + promptHeight + (PADDING * 3)
+            };
+        }
+
+        private static int MeasureTextHeight(IEnumerable<string> texts, Font font)
+        {
+            int maxHeight = 0;
+            var textOptions = new RichTextOptions(font)
+            {
+                Dpi = 72,
+                LineSpacing = LINE_SPACING
+            };
+
+            foreach (var text in texts)
+            {
+                if (!string.IsNullOrEmpty(text))
+                {
+                    var bounds = TextMeasurer.MeasureBounds(text, textOptions);
+                    maxHeight = Math.Max(maxHeight, (int)Math.Ceiling(bounds.Height));
+                }
+            }
+
+            return maxHeight;
+        }
+
+        private static void DrawImagesWithSubtitles(
+            IImageProcessingContext ctx,
+            IEnumerable<LoadedImage> loadedImages,
+            int maxImageHeight,
+            Font subtitleFont)
+        {
+            int currentX = 0;
+
+            foreach (var loadedImage in loadedImages)
+            {
+                // Draw image or placeholder
+                if (loadedImage.Success && loadedImage.Image != null)
+                {
+                    ctx.DrawImage(loadedImage.Image, new Point(currentX, 0), 1f);
+                }
+                else
+                {
+                    // Draw placeholder rectangle
+                    var placeholderRect = new RectangleF(currentX, 0, loadedImage.Width, maxImageHeight);
+                    ctx.Fill(Color.FromRgb(240, 240, 240), placeholderRect);
+                    ctx.Draw(Color.FromRgb(200, 200, 200), 2f, placeholderRect);
+
+                    // Draw error icon or text in center
+                    var errorTextOptions = new RichTextOptions(subtitleFont)
+                    {
+                        HorizontalAlignment = HorizontalAlignment.Center,
+                        VerticalAlignment = VerticalAlignment.Center,
+                        Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight / 2f),
+                        Dpi = 72
+                    };
+                    ctx.DrawText(errorTextOptions, "Failed", Color.FromRgb(180, 0, 0));
+                }
+
+                // Draw subtitle
+                var statusText = GetStatusText(loadedImage);
+                var statusColor = loadedImage.Success ? Color.FromRgb(0, 120, 0) : Color.FromRgb(180, 0, 0);
 
-        //internal void SaveMultipleImagesWithSubtitle(IEnumerable<Task> createdImages, Settings settings, string prompt)
-        //{
-        //    var fontForSubtitle = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
-        //    var fontForPrompt = new Font("Arial", 24, FontStyle.Bold, GraphicsUnit.Pixel);
+                var subtitleOptions = new RichTextOptions(subtitleFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Center,
+                    VerticalAlignment = VerticalAlignment.Top,
+                    Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight + PADDING),
+                    Dpi = 72
+                };
+
+                ctx.DrawText(subtitleOptions, statusText, statusColor);
+
+                currentX += loadedImage.Width;
+            }
+        }
+
+        private static void DrawPromptText(
+            IImageProcessingContext ctx,
+            string prompt,
+            Font promptFont,
+            ImageDimensions dimensions)
+        {
+            var promptY = dimensions.MaxImageHeight + dimensions.SubtitleHeight + PADDING;
 
-        //    int totalWidth = 0;
-        //    var totalLoaded = createdImages.Where(el => el.IsCompleted == true && el.).Count();
-        //    int maxImageHeight = 500;
-        //    if (totalLoaded > 0)
-        //    {
-        //        maxImageHeight = createdImages.Where(el => el.IsSuccess == true).Max(el => el.Image.Height);
-        //    }
-        //    foreach (var (success, image, imageGenerator) in createdImages)
-        //    {
-        //        if (success)
-        //        {
-        //            totalWidth += image.Width;
-        //        }
-        //        else
-        //        {
-        //            //we should just put a blank box here with text on the bottom describing the error or whatever.
-        //            totalWidth += failWidth;
-        //        }
-        //    }
+            var promptOptions = new RichTextOptions(promptFont)
+            {
+                HorizontalAlignment = HorizontalAlignment.Center,
+                VerticalAlignment = VerticalAlignment.Top,
+                Origin = new PointF(dimensions.TotalWidth / 2f, promptY),
+                WrappingLength = dimensions.TotalWidth - (PADDING * 4),
+                Dpi = 72
+            };
+
+            ctx.DrawText(promptOptions, prompt, Color.Black);
+        }
+
+        private static async Task<string> SaveCombinedImageAsync(
+            Image<Rgba32> image,
+            string prompt,
+            Settings settings)
+        {
+            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
+            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
+            Directory.CreateDirectory(baseFolder);
+
+            var truncatedPrompt = FilenameGenerator.TruncatePrompt(prompt, 50);
+            var baseFilename = $"combined_{truncatedPrompt}_{DateTime.Now:HHmmss}";
+            var safeFilename = baseFilename;
+            var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
+
+            // Ensure unique filename
+            int counter = 1;
+            while (File.Exists(outputPath))
+            {
+                outputPath = Path.Combine(baseFolder, $"{safeFilename}_{counter}.png");
+                counter++;
+            }
+
+            await image.SaveAsPngAsync(outputPath);
+            Logger.Log($"Combined image saved: {outputPath}");
+
+            return outputPath;
+        }
+
+        private static string GetStatusText(LoadedImage image)
+        {
+            return image.Success
+                ? $"{image.GeneratorName}"
+                : $"{image.GeneratorName}";
+        }
+
+        private static FontFamily GetSystemFont()
+        {
+            FontFamily fontFamily;
 
-        //    // Measure text height
-        //    int subtitleHeight = 0;
-        //    int promptHeight = 0;
-
-        //    using (var measureBmp = new Bitmap(1, 1))
-        //    using (var g = Graphics.FromImage(measureBmp))
-        //    {
-        //        g.TextRenderingHint = TextRenderingHint.AntiAliasGridFit;
-
-        //        foreach (var (success, image, imageGenerator) in createdImages)
-        //        {
-        //            var size = g.MeasureString(imageGenerator.ToString(), fontForSubtitle);
-        //            subtitleHeight = Math.Max(subtitleHeight, (int)Math.Ceiling(size.Height));
-        //        }
-
-        //        var promptSize = g.MeasureString(prompt, fontForPrompt);
-        //        promptHeight = (int)Math.Ceiling(promptSize.Height);
-        //    }
-
-        //    int totalHeight = maxImageHeight + subtitleHeight + promptHeight;
-
-        //    // Create the output bitmap
-        //    using (var finalBmp = new Bitmap(totalWidth, totalHeight))
-        //    using (var g = Graphics.FromImage(finalBmp))
-        //    {
-        //        g.Clear(Color.White);
-        //        g.TextRenderingHint = TextRenderingHint.AntiAliasGridFit;
-
-        //        int currentX = 0;
-        //        foreach (var (success, image, imageGenerator) in createdImages)
-        //        {
-        //            var successText = "";
-        //            var engineName = imageGenerator.ToString();
-        //            var usingWidth = image?.Width ?? failWidth;
-
-        //            if (success)
-        //            {
-        //                successText = $"ok {engineName}";
-        //                g.DrawImage(image, currentX, 0, image.Width, image.Height);
-
-        //            }
-        //            else
-        //            {
-        //                successText = $"fail {engineName}";
-        //            }
-        //            var engineNameSize = g.MeasureString(successText, fontForSubtitle);
-        //            var engineTextX = currentX + (usingWidth - (int)engineNameSize.Width) / 2;
-        //            var engineTextY = maxImageHeight;
-
-        //            g.DrawString(successText, fontForSubtitle, Brushes.Black, new PointF(engineTextX, engineTextY));
-
-        //            if (success)
-        //            {
-        //                currentX += image.Width;
-        //            }
-        //            else
-        //            {
-        //                currentX += failWidth;
-        //            }
-        //        }
-
-        //        int promptY = maxImageHeight + subtitleHeight;
-        //        var promptSize = g.MeasureString(prompt, fontForPrompt);
-        //        var promptX = (totalWidth - (int)promptSize.Width) / 2;
-        //        g.DrawString(prompt, fontForPrompt, Brushes.Black, new PointF(promptX, promptY));
-
-        //        // --- Simplified Filename Generation ---
-        //        var safePromptPrefix = TextUtils.CleanPrompt(prompt);
-        //        if (safePromptPrefix.Length > 50) // Ensure prefix isn't too long for filenames
-        //        {
-        //            safePromptPrefix = safePromptPrefix.Substring(0, 50);
-        //        }
-        //        // Remove invalid filename characters
-        //        safePromptPrefix = string.Join("_", safePromptPrefix.Split(Path.GetInvalidFileNameChars()));
-
-        //        var baseFilename = $"combined_{safePromptPrefix}";
-        //        var outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"{baseFilename}.png");
-        //        var ii = 1;
-        //        // Ensure unique filename without overwriting
-        //        while (File.Exists(outputPath))
-        //        {
-        //            ii++;
-        //            outputPath = Path.Combine(settings.ImageDownloadBaseFolder, $"{baseFilename}_{ii}.png");
-        //        }
-        //        // --- End Simplified Filename Generation ---
-
-        //        try
-        //        {
-        //            // Saving itself is synchronous with System.Drawing
-        //            finalBmp.Save(outputPath, System.Drawing.Imaging.ImageFormat.Png);
-        //            Console.WriteLine($"Combined image saved at: {outputPath}");
-        //        }
-        //        catch (Exception ex)
-        //        {
-        //            // Consider more specific logging or error handling
-        //            Console.WriteLine($"Error saving combined image: {ex.Message}");
-        //        }
-        //    }
-
-        //    // Dispose loaded images passed into the method
-        //    foreach (var (success, image, imageGenerator) in createdImages)
-        //    {
-        //        image?.Dispose(); // Add null check for safety
-        //    }
-
-        //    // Dispose fonts
-        //    fontForSubtitle?.Dispose(); // Add null check
-        //    fontForPrompt?.Dispose();   // Add null check
-        //}
-    }
-}
+            if (!SystemFonts.TryGet("Segoe UI", out fontFamily))
+            {
+                if (!SystemFonts.TryGet("Arial", out fontFamily))
+                {
+                    fontFamily = SystemFonts.Families.First();
+                }
+            }
+
+            return fontFamily;
+        }
+
+        // Helper classes
+        private class LoadedImage
+        {
+            public bool Success { get; set; }
+            public Image<Rgba32> Image { get; set; }
+            public string GeneratorName { get; set; }
+            public int Width { get; set; }
+            public int Height { get; set; }
+        }
+
+        private class ImageDimensions
+        {
+            public int TotalWidth { get; set; }
+            public int MaxImageHeight { get; set; }
+            public int SubtitleHeight { get; set; }
+            public int PromptHeight { get; set; }
+            public int TotalHeight { get; set; }
+        }
+    }
+}
\ No newline at end of file
diff --git a/MultiImageClient/ImageManager.cs b/MultiImageClient/ImageManager.cs
index 78f5fbb..e8d13a8 100644
--- a/MultiImageClient/ImageManager.cs
+++ b/MultiImageClient/ImageManager.cs
@@ -1,10 +1,13 @@
-using Newtonsoft.Json;
+using ImageMagick;
+
+using Newtonsoft.Json;
 
 using System;
 using System.Collections.Generic;
 using System.Diagnostics;
 using System.IO;
 using System.Reflection.Emit;
+using System.Security.AccessControl;
 using System.Threading.Tasks;
 using System.Xml.Linq;
 
@@ -23,19 +26,58 @@ public ImageManager(Settings settings, MultiClientRunStats stats)
 
         public async Task<Dictionary<SaveType, string>> DoSaveAsync(IImageGenerator generator, byte[] imageBytes, TaskProcessResult result, Settings settings)
         {
+
+
+
             if (imageBytes == null || imageBytes.Length == 0)
             {
                 Logger.Log($"Empty or null image bytes received");
                 throw new Exception("Bad image.");
             }
+
+
+            // just one time, convert the bytes to png if needed.
+            if (result.ContentType == "image/webp")
+            {
+                var fakeImage = new MagickImage(imageBytes, MagickFormat.WebP);
+                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
+            }
+            else if (result.ContentType == "image/svg+xml")
+            {
+                var fakeImage = new MagickImage(imageBytes, MagickFormat.Svg);
+                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
+            }
+            else if (result.ContentType == "image/jpeg")
+            {
+                var fakeImage = new MagickImage(imageBytes, MagickFormat.Jpg);
+                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
+            }
+            else if (result.ContentType == "image/png")
+            {
+                //Console.WriteLine("png do nothing, all good");
+            }
+            else if (result.ContentType == null)
+            {
+                //Console.WriteLine("contentType null, so fall into .png");
+            }
+            else
+            {
+                Console.WriteLine("some other weird contenttype. {result.ContentType}");
+            }
+
+
+            //okay now we have the real bytes and they've been converted to png format if needed.
+            result.SetImageBytes(imageBytes);
+
+
             var savedImagePaths = new Dictionary<SaveType, string>();
 
-            savedImagePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.Raw, generator);
-            savedImagePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.FullAnnotation, generator);
-            savedImagePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.FinalPrompt, generator);
-            savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.InitialIdea, generator);
-            savedImagePaths[SaveType.JustOverride] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.JustOverride, generator);
-            savedImagePaths[SaveType.Label] = await ImageSaving.SaveImageAsync(imageBytes, result, settings, SaveType.Label, generator);
+            savedImagePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(result, settings, SaveType.Raw, generator);
+            savedImagePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(result, settings, SaveType.FullAnnotation, generator);
+            savedImagePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(result, settings, SaveType.FinalPrompt, generator);
+            savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(result, settings, SaveType.InitialIdea, generator);
+            savedImagePaths[SaveType.JustOverride] = await ImageSaving.SaveImageAsync(result, settings, SaveType.JustOverride, generator);
+            savedImagePaths[SaveType.Label] = await ImageSaving.SaveImageAsync(result, settings, SaveType.Label, generator);
 
             return savedImagePaths;
         }
@@ -64,7 +106,6 @@ public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult resul
                     var ii = 0;
                     foreach (var qq in result.Base64ImageDatas)
                     {
-                        //Console.WriteLine($"Saving one things: {ii}");
                         imageBytes = Convert.FromBase64String(qq);
                         var downloadResults = await DoSaveAsync(generator, imageBytes, result, _settings);
                         ii++;
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index e97c1aa..8463d62 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -59,7 +59,6 @@ public static async Task<byte[]> DownloadImageAsync(TaskProcessResult result)
         }
 
         public static async Task<string> SaveImageAsync(
-            byte[] imageBytes,
             TaskProcessResult result,
             Settings settings,
             SaveType saveType,
@@ -75,33 +74,7 @@ public static async Task<string> SaveImageAsync(
 
             Directory.CreateDirectory(baseFolder);
 
-            if (result.ContentType == "image/webp")
-            {
-                var fakeImage = new MagickImage(imageBytes, MagickFormat.WebP);
-                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
-            }
-            else if (result.ContentType == "image/svg+xml")
-            {
-                var fakeImage = new MagickImage(imageBytes, MagickFormat.Svg);
-                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);             
-            }
-            else if (result.ContentType == "image/jpeg")
-            {
-                var fakeImage = new MagickImage(imageBytes, MagickFormat.Jpg);
-                imageBytes = fakeImage.ToByteArray(MagickFormat.Png); 
-            }
-            else if (result.ContentType == "image/png")
-            {
-                //Console.WriteLine("png do nothing, all good");
-            }
-            else if (result.ContentType == null)
-            {
-                //Console.WriteLine("contentType null, so fall into .png");
-            }
-            else
-            {
-                Console.WriteLine("some other weird contenttype. {result.ContentType}");
-            }
+            
 
             var usingPromptTextPart = FilenameGenerator.TruncatePrompt(result.PromptDetails.Prompt, 90);
             var generatorFilename = generator.GetFilenamePart(result.PromptDetails);
@@ -115,12 +88,12 @@ public static async Task<string> SaveImageAsync(
                 {
                     throw new Exception("no overwriting!");
                 }
-                await File.WriteAllBytesAsync(fullPath, imageBytes);
+                await File.WriteAllBytesAsync(fullPath, result.GetImageBytes());
 
                 if (saveType == SaveType.Raw)
                 {
                     //Logger.Log($"Saved {saveType} image. Fp: {fullPath}");
-                    //stats.SavedRawImageCount++;
+                    //_stats.SavedRawImageCount++;
                 }
                 else
                 {
@@ -129,7 +102,7 @@ public static async Task<string> SaveImageAsync(
                     if (saveType == SaveType.JustOverride)
                     {
                         await TextFormatting.JustAddSimpleTextToBottomAsync(
-                            imageBytes,
+                            result.GetImageBytes(),
                             usingSteps,
                             imageInfo,
                             fullPath,
@@ -142,7 +115,7 @@ await TextFormatting.JustAddSimpleTextToBottomAsync(
                         var costPart = $"{generator.GetCost()} $USD";
                         rightParts.Add(costPart);
                         rightParts.Add("MultiImageClient");
-                        using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(imageBytes);
+                        using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(result.GetImageBytes());
                         var label = MakeLabelGeneral(originalImage.Width, result.PromptDetails.Prompt, rightParts);
                         
                         using var labelImage = SixLabors.ImageSharp.Image.Load<Rgba32>(label);
@@ -170,7 +143,7 @@ await TextFormatting.JustAddSimpleTextToBottomAsync(
                     else
                     {
                         await TextFormatting.SaveImageAndAnnotate(
-                            imageBytes,
+                            result.GetImageBytes(),
                             usingSteps,
                             imageInfo,
                             fullPath,
diff --git a/MultiImageClient/Implementation/TaskProcessResult.cs b/MultiImageClient/Implementation/TaskProcessResult.cs
index ca306bc..7b007b7 100644
--- a/MultiImageClient/Implementation/TaskProcessResult.cs
+++ b/MultiImageClient/Implementation/TaskProcessResult.cs
@@ -1,4 +1,5 @@
-using System.Collections.Generic;
+using System;
+using System.Collections.Generic;
 using System.Diagnostics;
 
 namespace MultiImageClient
@@ -23,6 +24,24 @@ public class TaskProcessResult
         public TextGeneratorApiType TextGenerator { get; set; }
         public long CreateTotalMs { get; set; } = 0;
         public long DownloadTotalMs { get; set; } = 0;
+        private byte[] _ImageBytes { get; set; }
+        public void SetImageBytes(byte[] imageBytes)
+        {
+            if (imageBytes == null || imageBytes.Length == 0)
+            {
+                IsSuccess = false;
+                GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated;
+                ErrorMessage = "No image data.";
+                return;
+            }
+            if (_ImageBytes != null && _ImageBytes.Length > 0)
+            {
+                Console.WriteLine("Already seat.");
+                throw new Exception("Already set image bytes.");
+            }
+            _ImageBytes = imageBytes;
+        }   
+
 
         public override string ToString()
         {
@@ -33,5 +52,14 @@ public override string ToString()
 
             return $"Success. {PromptDetails}";
         }
+
+        internal byte[] GetImageBytes()
+        {
+            if (_ImageBytes == null)
+            {
+                throw new Exception("No image bytes set.");
+            }
+            return _ImageBytes;
+        }
     }
 }
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 4fd76db..1c01aef 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -8,6 +8,7 @@
 using System.Collections.Generic;
 using System.Drawing.Printing;
 using System.Linq;
+using System.Runtime;
 using System.Security.Cryptography.X509Certificates;
 using System.Threading.Tasks;
 
@@ -35,20 +36,21 @@ static async Task Main(string[] args)
             var recraft3 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, stats, "");
             var recraft4 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, stats, "");
             var recraft5 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.infographical, null, null, stats, "");
-            var recraft6 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.natural_light, stats, "");
+            var recraft6 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, stats, "");
             //var recraft7 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
             //var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, stats, "");
             var ideogram2 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, stats, "");
-            //var ideogram3 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A, stats, "");
+            var ideogram3 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A, stats, "");
             var ideogram4 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, stats, "");
-            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, settings.BFLApiKey, concurrency, false, "3:2", false, 1024, 1024, stats, "");
-            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, false, "1:1", false, 2048, 1768, stats, "");
-            
+            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, settings.BFLApiKey, concurrency, "3:2", false, 1024, 1024, stats, "");
+            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, "1:1", false, 1024, 1024, stats, "");
+            var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, "3:2", false, 1024, 1024, stats, "");
+
             var gptimage1 = new GptImageOneGenerator(settings.OpenAIApiKey, concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, stats, "");
 
-            var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, recraft3, recraft5, recraft6, ideogram4, gptimage1 };
+            //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-            //var myGenerators = new List<IImageGenerator>() { , ideogram2,  ideogram4}; 
+            var myGenerators = new List<IImageGenerator>() { ideogram3,  ideogram4, dalle3, recraft1}; 
             var imageManager = new ImageManager(settings, stats);
 
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
@@ -91,30 +93,51 @@ static async Task Main(string[] args)
                 var ii = 0;
                 while (ii < 1)
                 {
-
                     // Create tasks for all generators for this prompt
                     var generatorTasks = myGenerators.Select(async generator =>
                     {
+                        PromptDetails theCopy = null;
                         try
                         {
-                            var theCopy = promptString.Copy();
+                            theCopy = promptString.Copy();
                             var result = await generator.ProcessPromptAsync(theCopy);
                             await imageManager.ProcessAndSaveAsync(result, generator);
                             Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
+                            
                             return result;
                         }
                         catch (Exception ex)
                         {
                             Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
-                            throw;
+
+                            var res = new TaskProcessResult
+                            {
+                                IsSuccess = false,
+                                ErrorMessage = ex.Message,
+                                PromptDetails = theCopy
+                            };
+
+                            return res;
                         }
-                    }).ToList();
+                    });
 
                     allTasks.AddRange(generatorTasks);
                     ii++;
 
                     stats.PrintStats();
-                    Console.WriteLine($"Kicked off {generatorTasks.Count} tasks for prompt.");
+                    var imageSaveResults = await Task.WhenAll(generatorTasks);
+
+                    try
+                    {
+                        var res = ImageCombiner.CombineImagesHorizontallyAsync(imageSaveResults, promptString.Prompt, settings);
+                    }
+                    catch (Exception ex)
+                    {
+                        Logger.Log($"Failed to combine images: {ex.Message}");
+                    }
+
+                    // how to wait for all of the items in theseResults to be done downloading (i.e. all the things inside generator.ProcessPromptAsync and imageManager.ProcessAndSaveAsync are done?")
+                    // at that point, we want to call:  ImageCombiner.CombineImagesHorizontallyAsync(theseResults, promptDetails.Prompt);
                 }
             }
 
@@ -127,22 +150,5 @@ static async Task Main(string[] args)
                 await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
             }
         }
-
-        //private static void OnFinished(Task<TaskProcessResult> task, object arg2)
-        //{
-        //    if (task.IsFaulted)
-        //    {
-        //        Logger.Log($"Task faulted: {task.Exception?.Flatten().InnerException}");
-        //        return;
-        //    }
-        //    if (task.IsCanceled)
-        //    {
-        //        Logger.Log("Task was canceled.");
-        //        return;
-        //    }
-
-        //    var res = task.Result;
-        //    Logger.Log($"Finished in {res.CreateTotalMs + res.DownloadTotalMs} ms, {res.PromptDetails.Show()}");
-        //}
     }
 }
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
index ff81dfc..dd850a8 100644
--- a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
+++ b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
@@ -46,18 +46,10 @@ public async Task RunAsync()
                     await t.ContinueWith(OnFinished, TaskScheduler.Default);
                 }
 
-                //// Process all generators asynchronously
-                //var tasks = _generators.Select(async generator =>
-                //{
-                //    var theCopy = promptDetails.Clone();
-                //    var result = await generator.ProcessPromptAsync(theCopy, stats);
-                //    await _workflowContext.ImageManager.ProcessAndSaveAsync(result, _abstractPromptSource, stats);
-                //}).ToList();
                 
                 await Task.WhenAll(tasks);
 
-                var combiner = new ImageCombiner();
-                //combiner.Save(tasks, _settings, promptDetails.Prompt);
+                
             }
         }
 
diff --git a/MultiImageClient/Services/BFLGenerator.cs b/MultiImageClient/Services/BFLGenerator.cs
index b507b0d..7cb62e5 100644
--- a/MultiImageClient/Services/BFLGenerator.cs
+++ b/MultiImageClient/Services/BFLGenerator.cs
@@ -59,7 +59,7 @@ public string GetFilenamePart(PromptDetails pd)
             return res;
         }
 
-        public BFLGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency, bool useUltra, string aspectRatio, bool promptUpscaling, int width, int height, MultiClientRunStats stats, string name)
+        public BFLGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency, string aspectRatio, bool promptUpscaling, int width, int height, MultiClientRunStats stats, string name)
         {
             _apiType = apiType;
             _bflClient = new BFLClient(apiKey);
@@ -121,6 +121,8 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                         Prompt = promptDetails.Prompt,
                         AspectRatio = _aspectRatio,
                         PromptUpsampling = _promptUpsampling,
+                        Width = _width,
+                        Height = _height,
                         SafetyTolerance = 6
                     };
                     generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request2);

From 91419308cf5de21f2ecadc06319af864d135efc3 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 12:16:42 -0700
Subject: [PATCH 21/78] testing cursor

---
 MultiImageClient/Program.cs                           | 4 ++--
 MultiImageClient/SamePromptMultipleTargetsWorkflow.cs | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 1c01aef..ce96f77 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -125,11 +125,11 @@ static async Task Main(string[] args)
                     ii++;
 
                     stats.PrintStats();
-                    var imageSaveResults = await Task.WhenAll(generatorTasks);
+                    var results = await Task.WhenAll(generatorTasks);
 
                     try
                     {
-                        var res = ImageCombiner.CombineImagesHorizontallyAsync(imageSaveResults, promptString.Prompt, settings);
+                        var res = ImageCombiner.CombineImagesHorizontallyAsync(results, promptString.Prompt, settings);
                     }
                     catch (Exception ex)
                     {
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
index dd850a8..d787393 100644
--- a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
+++ b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
@@ -12,7 +12,7 @@ public class SamePromptMultipleTargetsWorkflow : IWorkflow
         private readonly Dictionary<ImageGeneratorApiType, IImageGenerator> _generators;
         private readonly AbstractPromptSource _abstractPromptSource;
         private readonly Settings _settings;
-        private readonly ImageManager _imageManager;
+        //private readonly ImageManager _imageManager;
         private readonly MultiClientRunStats _stats;
 
         public SamePromptMultipleTargetsWorkflow(
@@ -37,7 +37,7 @@ public async Task RunAsync()
                     var nam = kvp.Key;
                     var generator = kvp.Value;
                     TaskProcessResult result = await generator.ProcessPromptAsync(promptDetails);
-                    await _imageManager.ProcessAndSaveAsync(result, generator);
+                    //await _imageManager.ProcessAndSaveAsync(result, generator);
                     tasks.Add(Task.FromResult(result));
                 }
 

From 8d80bd0e9288fba49e63e4cdec5cd7ced79e8d1c Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 12:27:34 -0700
Subject: [PATCH 22/78] .net 8 update

---
 BFLApi/BFLAPIClient.csproj                           | 4 ++--
 IdeogramAPI/IdeogramAPIClient.csproj                 | 3 ++-
 ImageGenerationClasses/ImageGenerationClasses.csproj | 4 ++--
 MultiImageClient/Implementation/TextFormatting.cs    | 2 +-
 MultiImageClient/MultiImageClient.csproj             | 4 ++--
 RecraftAPI/RecraftAPIClient.csproj                   | 4 ++--
 6 files changed, 11 insertions(+), 10 deletions(-)

diff --git a/BFLApi/BFLAPIClient.csproj b/BFLApi/BFLAPIClient.csproj
index 9064ebf..ca92646 100644
--- a/BFLApi/BFLAPIClient.csproj
+++ b/BFLApi/BFLAPIClient.csproj
@@ -2,8 +2,8 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net6.0</TargetFramework>
-    <LangVersion>10.0</LangVersion>
+    <TargetFramework>net8.0</TargetFramework>
+    <LangVersion>12.0</LangVersion>
     <ProjectGuid>{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}</ProjectGuid>
     <Platforms>AnyCPU;ARM64</Platforms>
     <StartupObject>BFLAPIClient.BFLClient</StartupObject>
diff --git a/IdeogramAPI/IdeogramAPIClient.csproj b/IdeogramAPI/IdeogramAPIClient.csproj
index ab1c922..15c6675 100644
--- a/IdeogramAPI/IdeogramAPIClient.csproj
+++ b/IdeogramAPI/IdeogramAPIClient.csproj
@@ -2,7 +2,8 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net6.0</TargetFramework>
+    <TargetFramework>net8.0</TargetFramework>
+    <LangVersion>12.0</LangVersion>
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
   </PropertyGroup>
diff --git a/ImageGenerationClasses/ImageGenerationClasses.csproj b/ImageGenerationClasses/ImageGenerationClasses.csproj
index 92d1d77..5e56081 100644
--- a/ImageGenerationClasses/ImageGenerationClasses.csproj
+++ b/ImageGenerationClasses/ImageGenerationClasses.csproj
@@ -2,8 +2,8 @@
 
   <PropertyGroup>
     <OutputType>Library</OutputType>
-    <TargetFramework>net6.0</TargetFramework>
-    <LangVersion>10.0</LangVersion>
+    <TargetFramework>net8.0</TargetFramework>
+    <LangVersion>12.0</LangVersion>
     <ProjectGuid>{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}</ProjectGuid>
     <Platforms>AnyCPU;ARM64</Platforms>
   </PropertyGroup>
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index 5708aa8..87f4b1d 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -178,7 +178,7 @@ public static async Task SaveImageAndAnnotate(byte[] imageBytes, IEnumerable<Pro
                     catch (Exception ex3)
                     {
                         Logger.Log($"{ex2} failed rgba32 load");
-                        throw ex3;
+                        return;
                     }
                 }
 
diff --git a/MultiImageClient/MultiImageClient.csproj b/MultiImageClient/MultiImageClient.csproj
index a354c6a..7423628 100644
--- a/MultiImageClient/MultiImageClient.csproj
+++ b/MultiImageClient/MultiImageClient.csproj
@@ -2,8 +2,8 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net6.0</TargetFramework>
-    <LangVersion>10.0</LangVersion>
+    <TargetFramework>net8.0</TargetFramework>
+    <LangVersion>12.0</LangVersion>
     <ProjectGuid>{0AB858B6-6624-452A-A126-9851F2552B0A}</ProjectGuid>
     <Platforms>AnyCPU;ARM64</Platforms>
   </PropertyGroup>
diff --git a/RecraftAPI/RecraftAPIClient.csproj b/RecraftAPI/RecraftAPIClient.csproj
index 08329b6..bc2d7b7 100644
--- a/RecraftAPI/RecraftAPIClient.csproj
+++ b/RecraftAPI/RecraftAPIClient.csproj
@@ -2,8 +2,8 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net6.0</TargetFramework>
-    <LangVersion>10.0</LangVersion>
+    <TargetFramework>net8.0</TargetFramework>
+    <LangVersion>12.0</LangVersion>
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
     <ProjectGuid>{5A29AA17-8556-4456-8FFC-E8E2AF015537}</ProjectGuid>

From 6e1061cae64bb547a90637fdab5b6afe987ceca2 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 12:42:04 -0700
Subject: [PATCH 23/78] .net 9

---
 BFLApi/BFLAPIClient.csproj                           | 4 ++--
 IdeogramAPI/IdeogramAPIClient.csproj                 | 4 ++--
 ImageGenerationClasses/ImageGenerationClasses.csproj | 4 ++--
 MultiImageClient/MultiImageClient.csproj             | 4 ++--
 RecraftAPI/RecraftAPIClient.csproj                   | 4 ++--
 5 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/BFLApi/BFLAPIClient.csproj b/BFLApi/BFLAPIClient.csproj
index ca92646..412aab3 100644
--- a/BFLApi/BFLAPIClient.csproj
+++ b/BFLApi/BFLAPIClient.csproj
@@ -2,8 +2,8 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net8.0</TargetFramework>
-    <LangVersion>12.0</LangVersion>
+    <TargetFramework>net9.0</TargetFramework>
+    <LangVersion>13.0</LangVersion>
     <ProjectGuid>{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}</ProjectGuid>
     <Platforms>AnyCPU;ARM64</Platforms>
     <StartupObject>BFLAPIClient.BFLClient</StartupObject>
diff --git a/IdeogramAPI/IdeogramAPIClient.csproj b/IdeogramAPI/IdeogramAPIClient.csproj
index 15c6675..5a3be69 100644
--- a/IdeogramAPI/IdeogramAPIClient.csproj
+++ b/IdeogramAPI/IdeogramAPIClient.csproj
@@ -2,8 +2,8 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net8.0</TargetFramework>
-    <LangVersion>12.0</LangVersion>
+    <TargetFramework>net9.0</TargetFramework>
+    <LangVersion>13.0</LangVersion>
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
   </PropertyGroup>
diff --git a/ImageGenerationClasses/ImageGenerationClasses.csproj b/ImageGenerationClasses/ImageGenerationClasses.csproj
index 5e56081..58df766 100644
--- a/ImageGenerationClasses/ImageGenerationClasses.csproj
+++ b/ImageGenerationClasses/ImageGenerationClasses.csproj
@@ -2,8 +2,8 @@
 
   <PropertyGroup>
     <OutputType>Library</OutputType>
-    <TargetFramework>net8.0</TargetFramework>
-    <LangVersion>12.0</LangVersion>
+    <TargetFramework>net9.0</TargetFramework>
+    <LangVersion>13.0</LangVersion>
     <ProjectGuid>{3E7F378B-7AC6-4904-B775-E4B4CC69AB5B}</ProjectGuid>
     <Platforms>AnyCPU;ARM64</Platforms>
   </PropertyGroup>
diff --git a/MultiImageClient/MultiImageClient.csproj b/MultiImageClient/MultiImageClient.csproj
index 7423628..88c84e9 100644
--- a/MultiImageClient/MultiImageClient.csproj
+++ b/MultiImageClient/MultiImageClient.csproj
@@ -2,8 +2,8 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net8.0</TargetFramework>
-    <LangVersion>12.0</LangVersion>
+    <TargetFramework>net9.0</TargetFramework>
+    <LangVersion>13.0</LangVersion>
     <ProjectGuid>{0AB858B6-6624-452A-A126-9851F2552B0A}</ProjectGuid>
     <Platforms>AnyCPU;ARM64</Platforms>
   </PropertyGroup>
diff --git a/RecraftAPI/RecraftAPIClient.csproj b/RecraftAPI/RecraftAPIClient.csproj
index bc2d7b7..bc22481 100644
--- a/RecraftAPI/RecraftAPIClient.csproj
+++ b/RecraftAPI/RecraftAPIClient.csproj
@@ -2,8 +2,8 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net8.0</TargetFramework>
-    <LangVersion>12.0</LangVersion>
+    <TargetFramework>net9.0</TargetFramework>
+    <LangVersion>13.0</LangVersion>
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
     <ProjectGuid>{5A29AA17-8556-4456-8FFC-E8E2AF015537}</ProjectGuid>

From 3c06910ed6a0b1242e2763779b327c56660e6d3d Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 12:49:07 -0700
Subject: [PATCH 24/78] little fixes

---
 MultiImageClient/Implementation/TextFormatting.cs | 2 +-
 MultiImageClient/Program.cs                       | 5 +----
 2 files changed, 2 insertions(+), 5 deletions(-)

diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index 87f4b1d..e475cf9 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -177,7 +177,7 @@ public static async Task SaveImageAndAnnotate(byte[] imageBytes, IEnumerable<Pro
                     }
                     catch (Exception ex3)
                     {
-                        Logger.Log($"{ex2} failed rgba32 load");
+                        Logger.Log($"{ex3} failed rgba32 load");
                         return;
                     }
                 }
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index ce96f77..4bbdbb5 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -119,7 +119,7 @@ static async Task Main(string[] args)
 
                             return res;
                         }
-                    });
+                    }).ToArray();
 
                     allTasks.AddRange(generatorTasks);
                     ii++;
@@ -135,9 +135,6 @@ static async Task Main(string[] args)
                     {
                         Logger.Log($"Failed to combine images: {ex.Message}");
                     }
-
-                    // how to wait for all of the items in theseResults to be done downloading (i.e. all the things inside generator.ProcessPromptAsync and imageManager.ProcessAndSaveAsync are done?")
-                    // at that point, we want to call:  ImageCombiner.CombineImagesHorizontallyAsync(theseResults, promptDetails.Prompt);
                 }
             }
 

From 2e1bacb9d129562cf101ddd15b4190f08677ea22 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 12:50:58 -0700
Subject: [PATCH 25/78] redundancy

---
 MultiImageClient/ImageManager.cs                  | 2 +-
 MultiImageClient/Implementation/ImageSaving.cs    | 2 +-
 MultiImageClient/Implementation/TextFormatting.cs | 6 +++---
 MultiImageClient/Services/ClaudeService.cs        | 2 +-
 MultiImageClient/Services/GptImageOneGenerator.cs | 2 +-
 5 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/MultiImageClient/ImageManager.cs b/MultiImageClient/ImageManager.cs
index e8d13a8..8d98cdb 100644
--- a/MultiImageClient/ImageManager.cs
+++ b/MultiImageClient/ImageManager.cs
@@ -139,7 +139,7 @@ private async Task SaveJsonLogAsync(TaskProcessResult result, Dictionary<SaveTyp
                 result.ErrorMessage,
             };
 
-            string jsonString = JsonConvert.SerializeObject(jsonLog, Newtonsoft.Json.Formatting.Indented);
+            string jsonString = JsonConvert.SerializeObject(jsonLog, Formatting.Indented);
 
             if (savedImagePaths.TryGetValue(SaveType.Raw, out string rawImagePath))
             {
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 8463d62..0dface2 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -167,7 +167,7 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
             var leftSideWidth = width - rightSideWidth;
             var padding = 5;
             var fontSize = 24;
-            SixLabors.Fonts.FontFamily fontFamily;
+            FontFamily fontFamily;
             if (!SystemFonts.TryGet("Segoe UI", out fontFamily))
             {
                 if (!SystemFonts.TryGet("Arial", out fontFamily))
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index e475cf9..e4f967f 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -35,7 +35,7 @@ private static void DrawKeyValuePair(IImageProcessingContext ctx, string key, st
             // just trunc. ugh.
             value = value.Length > 2500 ? value[..2500] + "..." : value;
 
-            var font = SixLabors.Fonts.SystemFonts.CreateFont("Arial", fontSize, SixLabors.Fonts.FontStyle.Regular);
+            var font = SystemFonts.CreateFont("Arial", fontSize, FontStyle.Regular);
             const float PADDING = 4;
 
             // Measure text height with wrapping
@@ -77,7 +77,7 @@ private static void DrawKeyValuePair(IImageProcessingContext ctx, string key, st
         public static async Task JustAddSimpleTextToBottomAsync(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
         {
             Console.WriteLine(outputPath);
-            using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(imageBytes);
+            using var originalImage = Image.Load<Rgba32>(imageBytes);
             var imageWidth = originalImage.Width;
             var intendedFontSize = 24;
             
@@ -173,7 +173,7 @@ public static async Task SaveImageAndAnnotate(byte[] imageBytes, IEnumerable<Pro
                     Logger.Log($"{ex2} failed normal load");
                     try
                     {
-                        originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(imageBytes);
+                        originalImage = Image.Load<Rgba32>(imageBytes);
                     }
                     catch (Exception ex3)
                     {
diff --git a/MultiImageClient/Services/ClaudeService.cs b/MultiImageClient/Services/ClaudeService.cs
index 72a08c2..5a50ea5 100644
--- a/MultiImageClient/Services/ClaudeService.cs
+++ b/MultiImageClient/Services/ClaudeService.cs
@@ -85,7 +85,7 @@ public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDeta
                 MessageResponse firstResult = await _anthropicClient.Messages.GetClaudeMessageAsync(parameters);
                 var claudeResponse = firstResult.Message.ToString();
 
-                var isClaudeUnhappy = ClaudeService.DidClaudeRefuse(claudeResponse);
+                var isClaudeUnhappy = DidClaudeRefuse(claudeResponse);
                 if (isClaudeUnhappy)
                 {
                     stats.ClaudeRefusedCount++;
diff --git a/MultiImageClient/Services/GptImageOneGenerator.cs b/MultiImageClient/Services/GptImageOneGenerator.cs
index bd12eee..34020aa 100644
--- a/MultiImageClient/Services/GptImageOneGenerator.cs
+++ b/MultiImageClient/Services/GptImageOneGenerator.cs
@@ -143,7 +143,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                 };
 
                 using var content = new StringContent(
-                    System.Text.Json.JsonSerializer.Serialize(body),
+                    JsonSerializer.Serialize(body),
                     Encoding.UTF8,
                     "application/json");
 

From a4fc67d6ee30c742f18339bf2f02573d8ae5d4d1 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 13:07:54 -0700
Subject: [PATCH 26/78] hmm combining utils

---
 MultiImageClient/ImageCombiner.cs             | 109 +++++-------------
 .../Implementation/ImageSaving.cs             |  71 +++---------
 MultiImageClient/Utils/FontUtils.cs           |  66 +++++++++++
 MultiImageClient/Utils/ImageUtils.cs          |  61 ++++++++++
 4 files changed, 175 insertions(+), 132 deletions(-)
 create mode 100644 MultiImageClient/Utils/FontUtils.cs
 create mode 100644 MultiImageClient/Utils/ImageUtils.cs

diff --git a/MultiImageClient/ImageCombiner.cs b/MultiImageClient/ImageCombiner.cs
index 647ed75..3e62ddf 100644
--- a/MultiImageClient/ImageCombiner.cs
+++ b/MultiImageClient/ImageCombiner.cs
@@ -10,11 +10,9 @@
 using System.Linq;
 using System.Threading.Tasks;
 
+
 namespace MultiImageClient
 {
-    /// <summary>
-    /// Combines multiple images from different generators into a single horizontal comparison image.
-    /// </summary>
     public static class ImageCombiner
     {
         private const int PLACEHOLDER_WIDTH = 300;
@@ -28,30 +26,19 @@ public static async Task<string> CombineImagesHorizontallyAsync(
             string prompt,
             Settings settings)
         {
-            // Prepare font
-            var fontFamily = GetSystemFont();
-            var generatorFont = fontFamily.CreateFont(GENERATOR_NAME_FONT_SIZE, FontStyle.Bold);
-            var promptFont = fontFamily.CreateFont(PROMPT_FONT_SIZE, FontStyle.Regular);
+            // Prepare fonts using shared utilities
+            var generatorFont = FontUtils.CreateFont(GENERATOR_NAME_FONT_SIZE, FontStyle.Bold);
+            var promptFont = FontUtils.CreateFont(PROMPT_FONT_SIZE, FontStyle.Regular);
 
             // Load all images and calculate dimensions
             var loadedImages = LoadImages(results);
             var dimensions = CalculateCombinedDimensions(loadedImages, prompt, generatorFont, promptFont);
 
-            // Create combined image
-            using var combinedImage = new Image<Rgba32>(dimensions.TotalWidth, dimensions.TotalHeight);
-
+            // Create combined image with standard settings
+            using var combinedImage = ImageUtils.CreateStandardImage(dimensions.TotalWidth, dimensions.TotalHeight, Color.White);
+
             combinedImage.Mutate(ctx =>
             {
-                // Set antialiasing
-                ctx.SetGraphicsOptions(new GraphicsOptions
-                {
-                    Antialias = true,
-                    AntialiasSubpixelDepth = 16
-                });
-
-                // Fill background
-                ctx.Fill(Color.White);
-
                 // Draw images and subtitles
                 DrawImagesWithSubtitles(ctx, loadedImages, dimensions.MaxImageHeight, generatorFont);
 
@@ -112,8 +99,8 @@ private static IEnumerable<LoadedImage> LoadImages(IEnumerable<TaskProcessResult
                 else
                 {
                     // Failed result - show placeholder with error
-                    var errorMsg = !string.IsNullOrEmpty(result.ErrorMessage)
-                        ? result.ErrorMessage
+                    var errorMsg = !string.IsNullOrEmpty(result.ErrorMessage)
+                        ? result.ErrorMessage
                         : result.GenericImageErrorType.ToString();
                     Logger.Log($"Result failed for {result.ImageGenerator}: {errorMsg}");
                     loadedImages.Add(CreatePlaceholderImage(result.ImageGenerator.ToString(), false));
@@ -142,7 +129,7 @@ private static ImageDimensions CalculateCombinedDimensions(
             Font promptFont)
         {
             int totalWidth = loadedImages.Sum(img => img.Width);
-            int maxImageHeight = loadedImages.Where(img => img.Success).Any()
+            int maxImageHeight = loadedImages.Where(img => img.Success).Any()
                 ? loadedImages.Where(img => img.Success).Max(img => img.Height)
                 : PLACEHOLDER_WIDTH;
 
@@ -163,18 +150,13 @@ private static ImageDimensions CalculateCombinedDimensions(
         private static int MeasureTextHeight(IEnumerable<string> texts, Font font)
         {
             int maxHeight = 0;
-            var textOptions = new RichTextOptions(font)
-            {
-                Dpi = 72,
-                LineSpacing = LINE_SPACING
-            };
 
             foreach (var text in texts)
             {
                 if (!string.IsNullOrEmpty(text))
                 {
-                    var bounds = TextMeasurer.MeasureBounds(text, textOptions);
-                    maxHeight = Math.Max(maxHeight, (int)Math.Ceiling(bounds.Height));
+                    var height = ImageUtils.MeasureTextHeight(text, font, LINE_SPACING);
+                    maxHeight = Math.Max(maxHeight, height);
                 }
             }
 
@@ -203,30 +185,22 @@ private static void DrawImagesWithSubtitles(
                     ctx.Fill(Color.FromRgb(240, 240, 240), placeholderRect);
                     ctx.Draw(Color.FromRgb(200, 200, 200), 2f, placeholderRect);
 
-                    // Draw error icon or text in center
-                    var errorTextOptions = new RichTextOptions(subtitleFont)
-                    {
-                        HorizontalAlignment = HorizontalAlignment.Center,
-                        VerticalAlignment = VerticalAlignment.Center,
-                        Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight / 2f),
-                        Dpi = 72
-                    };
-                    ctx.DrawText(errorTextOptions, "Failed", Color.FromRgb(180, 0, 0));
+                    // Draw error text in center
+                    var errorTextOptions = FontUtils.CreateTextOptions(subtitleFont, 
+                        HorizontalAlignment.Center, VerticalAlignment.Center);
+                    errorTextOptions.Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight / 2f);
+                    ctx.DrawTextStandard(errorTextOptions, "Failed", Color.FromRgb(180, 0, 0));
                 }
 
                 // Draw subtitle
                 var statusText = GetStatusText(loadedImage);
-                var statusColor = loadedImage.Success ? Color.FromRgb(0, 120, 0) : Color.FromRgb(180, 0, 0);
-
-                var subtitleOptions = new RichTextOptions(subtitleFont)
-                {
-                    HorizontalAlignment = HorizontalAlignment.Center,
-                    VerticalAlignment = VerticalAlignment.Top,
-                    Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight + PADDING),
-                    Dpi = 72
-                };
+                var statusColor = loadedImage.Success ? Color.FromRgb(0, 120, 0) : Color.FromRgb(180, 0, 0);
 
-                ctx.DrawText(subtitleOptions, statusText, statusColor);
+                var subtitleOptions = FontUtils.CreateTextOptions(subtitleFont, 
+                    HorizontalAlignment.Center, VerticalAlignment.Top);
+                subtitleOptions.Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight + PADDING);
+
+                ctx.DrawTextStandard(subtitleOptions, statusText, statusColor);
 
                 currentX += loadedImage.Width;
             }
@@ -238,18 +212,14 @@ private static void DrawPromptText(
             Font promptFont,
             ImageDimensions dimensions)
         {
-            var promptY = dimensions.MaxImageHeight + dimensions.SubtitleHeight + PADDING;
-
-            var promptOptions = new RichTextOptions(promptFont)
-            {
-                HorizontalAlignment = HorizontalAlignment.Center,
-                VerticalAlignment = VerticalAlignment.Top,
-                Origin = new PointF(dimensions.TotalWidth / 2f, promptY),
-                WrappingLength = dimensions.TotalWidth - (PADDING * 4),
-                Dpi = 72
-            };
+            var promptY = dimensions.MaxImageHeight + dimensions.SubtitleHeight + PADDING;
+
+            var promptOptions = FontUtils.CreateTextOptions(promptFont, 
+                HorizontalAlignment.Center, VerticalAlignment.Top);
+            promptOptions.Origin = new PointF(dimensions.TotalWidth / 2f, promptY);
+            promptOptions.WrappingLength = dimensions.TotalWidth - (PADDING * 4);
 
-            ctx.DrawText(promptOptions, prompt, Color.Black);
+            ctx.DrawTextStandard(promptOptions, prompt, Color.Black);
         }
 
         private static async Task<string> SaveCombinedImageAsync(
@@ -282,26 +252,11 @@ private static async Task<string> SaveCombinedImageAsync(
 
         private static string GetStatusText(LoadedImage image)
         {
-            return image.Success
-                ? $"{image.GeneratorName}"
+            return image.Success
+                ? $"{image.GeneratorName}"
                 : $"{image.GeneratorName}";
         }
 
-        private static FontFamily GetSystemFont()
-        {
-            FontFamily fontFamily;
-
-            if (!SystemFonts.TryGet("Segoe UI", out fontFamily))
-            {
-                if (!SystemFonts.TryGet("Arial", out fontFamily))
-                {
-                    fontFamily = SystemFonts.Families.First();
-                }
-            }
-
-            return fontFamily;
-        }
-
         // Helper classes
         private class LoadedImage
         {
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 0dface2..9faa8a8 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -123,12 +123,8 @@ await TextFormatting.JustAddSimpleTextToBottomAsync(
                         using var combinedImage = new Image<Rgba32>(originalImage.Width, newHeight);
                         combinedImage.Mutate(ctx =>
                         {
-                            // Set antialiasing
-                            ctx.SetGraphicsOptions(new GraphicsOptions
-                            {
-                                Antialias = true,
-                                AntialiasSubpixelDepth = 16
-                            });
+                            // Apply standard graphics options
+                            ctx.ApplyStandardGraphicsOptions();
 
                             // Draw original image at top
                             ctx.DrawImage(originalImage, new Point(0, 0), 1f);
@@ -167,26 +163,12 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
             var leftSideWidth = width - rightSideWidth;
             var padding = 5;
             var fontSize = 24;
-            FontFamily fontFamily;
-            if (!SystemFonts.TryGet("Segoe UI", out fontFamily))
-            {
-                if (!SystemFonts.TryGet("Arial", out fontFamily))
-                {
-                    fontFamily = SystemFonts.Families.First(); // Fallback
-                }
-            }
-            var font = fontFamily.CreateFont(fontSize, FontStyle.Regular);
+            var font = FontUtils.CreateFont(fontSize, FontStyle.Regular);
 
             // Measure left side text to determine height
-            var leftTextOptions = new RichTextOptions(font)
-            {
-                WrappingLength = leftSideWidth - (padding * 2),
-                LineSpacing = 1.15f,
-                HorizontalAlignment = HorizontalAlignment.Left,
-                VerticalAlignment = VerticalAlignment.Top,
-                Dpi = 72,
-                FallbackFontFamilies = new[] { SystemFonts.Families.First() }
-            };
+            var leftTextOptions = FontUtils.CreateTextOptions(font, 
+                HorizontalAlignment.Left, VerticalAlignment.Top);
+            leftTextOptions.WrappingLength = leftSideWidth - (padding * 2);
 
             var leftTextBounds = TextMeasurer.MeasureBounds(prompt, leftTextOptions);
             int leftTextHeight = (int)Math.Ceiling(leftTextBounds.Height);
@@ -198,23 +180,15 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
             // Find the maximum width needed for right side text
             foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
             {
-                var testOptions = new RichTextOptions(rightFont)
-                {
-                    HorizontalAlignment = HorizontalAlignment.Right,
-                    Dpi = 72
-                };
+                var testOptions = FontUtils.CreateTextOptions(rightFont, HorizontalAlignment.Right);
                 var textBounds = TextMeasurer.MeasureBounds(text, testOptions);
 
                 // If text is too wide, scale down font
                 while (textBounds.Width > rightSideWidth - (padding * 2) && rightFontSize > 8)
                 {
                     rightFontSize--;
-                    rightFont = fontFamily.CreateFont(rightFontSize, FontStyle.Regular);
-                    testOptions = new RichTextOptions(rightFont)
-                    {
-                        HorizontalAlignment = HorizontalAlignment.Right,
-                        Dpi = 72
-                    };
+                    rightFont = FontUtils.CreateFont(rightFontSize, FontStyle.Regular);
+                    testOptions = FontUtils.CreateTextOptions(rightFont, HorizontalAlignment.Right);
                     textBounds = TextMeasurer.MeasureBounds(text, testOptions);
                 }
             }
@@ -227,27 +201,18 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
             int contentHeight = Math.Max(leftTextHeight, rightTextHeight);
             int totalHeight = contentHeight + (padding * 2);
 
-            // Create the image
-            using var image = new Image<Rgba32>(width, totalHeight);
+            // Create the image with standard settings
+            using var image = ImageUtils.CreateStandardImage(width, totalHeight, Color.Black);
 
             image.Mutate(ctx =>
             {
-                // Set antialiasing
-                ctx.SetGraphicsOptions(new GraphicsOptions
-                {
-                    Antialias = true,
-                    AntialiasSubpixelDepth = 16
-                });
-
-                // Fill background with black
-                ctx.Fill(Color.Black);
 
                 // Draw left side box border (optional - you can remove if not wanted)
                 ctx.Draw(Color.White, 1f, new RectangleF(0, 0, leftSideWidth, totalHeight));
 
                 // Draw left side text
                 leftTextOptions.Origin = new PointF(padding, padding);
-                ctx.DrawText(leftTextOptions, prompt, Color.White);
+                ctx.DrawTextStandard(leftTextOptions, prompt, Color.White);
 
                 // Draw right side box border (optional - you can remove if not wanted)
                 ctx.Draw(Color.White, 1f, new RectangleF(leftSideWidth, 0, rightSideWidth, totalHeight));
@@ -258,15 +223,11 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
 
                 foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
                 {
-                    var rightTextOptions = new RichTextOptions(rightFont)
-                    {
-                        HorizontalAlignment = HorizontalAlignment.Right,
-                        VerticalAlignment = VerticalAlignment.Top,
-                        Dpi = 72,
-                        Origin = new PointF(width - padding, yOffset)
-                    };
+                    var rightTextOptions = FontUtils.CreateTextOptions(rightFont, 
+                        HorizontalAlignment.Right, VerticalAlignment.Top);
+                    rightTextOptions.Origin = new PointF(width - padding, yOffset);
 
-                    ctx.DrawText(rightTextOptions, text, goldColor);
+                    ctx.DrawTextStandard(rightTextOptions, text, goldColor);
                     yOffset += (int)rightLineHeight;
                 }
             });
diff --git a/MultiImageClient/Utils/FontUtils.cs b/MultiImageClient/Utils/FontUtils.cs
new file mode 100644
index 0000000..3ad9486
--- /dev/null
+++ b/MultiImageClient/Utils/FontUtils.cs
@@ -0,0 +1,66 @@
+using SixLabors.Fonts;
+using SixLabors.ImageSharp.Drawing.Processing;
+using System.Linq;
+
+namespace MultiImageClient
+{
+    /// <summary>
+    /// Centralized font handling utilities to avoid duplication across the application.
+    /// </summary>
+    public static class FontUtils
+    {
+        private static FontFamily? _cachedSystemFont;
+
+        /// <summary>
+        /// Gets the preferred system font family with fallback logic.
+        /// Order: Segoe UI → Arial → First available system font
+        /// </summary>
+        public static FontFamily GetSystemFont()
+        {
+            if (_cachedSystemFont != null)
+                return _cachedSystemFont.Value!;
+
+            if (SystemFonts.TryGet("Segoe UI", out var segoeFontFamily))
+            {
+                _cachedSystemFont = segoeFontFamily;
+                return segoeFontFamily;
+            }
+
+            if (SystemFonts.TryGet("Arial", out var arialFontFamily))
+            {
+                _cachedSystemFont = arialFontFamily;
+                return arialFontFamily;
+            }
+
+            var fallbackFont = SystemFonts.Families.First();
+            _cachedSystemFont = fallbackFont;
+            return fallbackFont;
+        }
+
+        /// <summary>
+        /// Creates a font with the preferred system font family.
+        /// </summary>
+        public static Font CreateFont(float size, FontStyle style = FontStyle.Regular)
+        {
+            return GetSystemFont().CreateFont(size, style);
+        }
+
+        /// <summary>
+        /// Creates standard RichTextOptions with common settings.
+        /// </summary>
+        public static RichTextOptions CreateTextOptions(Font font, 
+            HorizontalAlignment horizontalAlignment = HorizontalAlignment.Left,
+            VerticalAlignment verticalAlignment = VerticalAlignment.Top,
+            float lineSpacing = 1.15f)
+        {
+            return new RichTextOptions(font)
+            {
+                HorizontalAlignment = horizontalAlignment,
+                VerticalAlignment = verticalAlignment,
+                LineSpacing = lineSpacing,
+                Dpi = 72,
+                FallbackFontFamilies = new[] { GetSystemFont() }
+            };
+        }
+    }
+}
\ No newline at end of file
diff --git a/MultiImageClient/Utils/ImageUtils.cs b/MultiImageClient/Utils/ImageUtils.cs
new file mode 100644
index 0000000..1a1805b
--- /dev/null
+++ b/MultiImageClient/Utils/ImageUtils.cs
@@ -0,0 +1,61 @@
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Drawing.Processing;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.ImageSharp.Processing;
+using SixLabors.Fonts;
+using System;
+
+namespace MultiImageClient
+{
+    public static class ImageUtils
+    {
+        public static readonly GraphicsOptions StandardGraphicsOptions = new GraphicsOptions
+        {
+            Antialias = true,
+            AntialiasSubpixelDepth = 16
+        };
+
+        public static void ApplyStandardGraphicsOptions(this IImageProcessingContext ctx)
+        {
+            ctx.SetGraphicsOptions(StandardGraphicsOptions);
+        }
+
+        public static int MeasureTextHeight(string text, Font font, float lineSpacing = 1.15f, float wrappingLength = 0)
+        {
+            if (string.IsNullOrEmpty(text))
+                return 0;
+
+            var textOptions = FontUtils.CreateTextOptions(font, lineSpacing: lineSpacing);
+            if (wrappingLength > 0)
+                textOptions.WrappingLength = wrappingLength;
+
+            var bounds = TextMeasurer.MeasureBounds(text, textOptions);
+            return (int)Math.Ceiling(bounds.Height);
+        }
+
+        public static void DrawTextStandard(this IImageProcessingContext ctx, 
+            RichTextOptions options, 
+            string text, 
+            Color color)
+        {
+            ctx.DrawText(options, text, color);
+        }
+
+
+        public static Image<Rgba32> CreateStandardImage(int width, int height, Color? backgroundColor = null)
+        {
+            var image = new Image<Rgba32>(width, height);
+            
+            if (backgroundColor.HasValue)
+            {
+                image.Mutate(ctx =>
+                {
+                    ctx.ApplyStandardGraphicsOptions();
+                    ctx.Fill(backgroundColor.Value);
+                });
+            }
+
+            return image;
+        }
+    }
+}

From 7623cedebe7c7ee565c64a6bad33c1d3902b34c7 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 13:36:08 -0700
Subject: [PATCH 27/78] general little fixups

---
 MultiImageClient/.editorconfig                      |  5 ++++-
 MultiImageClient/IWorkflow.cs                       | 13 -------------
 .../SamePromptMultipleTargetsWorkflow.cs            |  2 +-
 MultiImageClient/Services/Dalle3Generator.cs        |  4 ----
 4 files changed, 5 insertions(+), 19 deletions(-)
 delete mode 100644 MultiImageClient/IWorkflow.cs

diff --git a/MultiImageClient/.editorconfig b/MultiImageClient/.editorconfig
index 41c7012..63ea57f 100644
--- a/MultiImageClient/.editorconfig
+++ b/MultiImageClient/.editorconfig
@@ -86,8 +86,11 @@ dotnet_style_prefer_inferred_anonymous_type_member_names = true:suggestion
 dotnet_style_prefer_compound_assignment = true:suggestion
 dotnet_style_prefer_simplified_interpolation = true:suggestion
 dotnet_style_prefer_collection_expression = when_types_loosely_match:suggestion
-dotnet_style_namespace_match_folder = true:suggestion
+dotnet_style_namespace_match_folder = true:none
 dotnet_style_operator_placement_when_wrapping = beginning_of_line
 tab_width = 4
 indent_size = 4
 end_of_line = crlf
+
+# IDE0130: Namespace does not match folder structure
+dotnet_diagnostic.IDE0130.severity = none
diff --git a/MultiImageClient/IWorkflow.cs b/MultiImageClient/IWorkflow.cs
deleted file mode 100644
index 3cb5d4d..0000000
--- a/MultiImageClient/IWorkflow.cs
+++ /dev/null
@@ -1,13 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public interface IWorkflow
-    {
-        Task RunAsync();
-    }
-}
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
index d787393..5abfcd7 100644
--- a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
+++ b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
@@ -7,7 +7,7 @@
 
 namespace MultiImageClient
 {
-    public class SamePromptMultipleTargetsWorkflow : IWorkflow
+    public class SamePromptMultipleTargetsWorkflow 
     {
         private readonly Dictionary<ImageGeneratorApiType, IImageGenerator> _generators;
         private readonly AbstractPromptSource _abstractPromptSource;
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/Services/Dalle3Generator.cs
index 68aa4f4..b6365dd 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -1,12 +1,8 @@
 using OpenAI;
 using OpenAI.Images;
 
-using RecraftAPIClient;
-
 using System;
 using System.Collections.Generic;
-using System.ComponentModel;
-using System.Drawing;
 
 using System.Threading;
 using System.Threading.Tasks;

From 3ad4351a6ef93437d85b1292efdc4d36a205cdd8 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 13:41:12 -0700
Subject: [PATCH 28/78] ai refactoring, hmmm

---
 .cursorrules                                  |  30 ++
 MultiImageClient/ImageCombiner.cs             | 279 ----------------
 .../Implementation/ImageSaving.cs             | 297 ++++++++++++++++--
 MultiImageClient/Program.cs                   |   2 +-
 MultiImageClient/UIConstants.cs               |  21 ++
 MultiImageClient/Utils/FontUtils.cs           |  15 +-
 MultiImageClient/Utils/ImageUtils.cs          |  67 ++++
 7 files changed, 391 insertions(+), 320 deletions(-)
 create mode 100644 .cursorrules
 delete mode 100644 MultiImageClient/ImageCombiner.cs
 create mode 100644 MultiImageClient/UIConstants.cs

diff --git a/.cursorrules b/.cursorrules
new file mode 100644
index 0000000..bf04eab
--- /dev/null
+++ b/.cursorrules
@@ -0,0 +1,30 @@
+# Code Style and Organization Preferences
+
+## Communication Style
+- NEVER use congratulatory or praising language like "you were absolutely right", "great call", etc.
+- Keep responses direct and focused on the technical work
+- Avoid unnecessary enthusiasm or validation language
+
+## XML Documentation
+- NEVER add XML summary blocks (`/// <summary>`) to any code unless you have a useful, meaningful, non-obvious comment to add.  Never add the dumb one-liner versions of them which just restate the obvious
+- But, you may add them to explain what an entire class does, and useful high-level general design information. This kind of summary is great and useful.
+- Use regular comments (`//`) for explanations when needed
+
+## Namespace Organization  
+- Use only ONE level of namespace (e.g., `MultiImageClient`)
+- NEVER use nested namespaces (e.g., `MultiImageClient.Utils`)
+- Managing naming conflicts is the responsibility of the code, not namespace hierarchy
+
+## Constants and Configuration
+- Constants used in only ONE file should stay in that file (as private const)
+- Only move constants to a shared constants file if they're used in MULTIPLE files
+- Before centralizing constants, first consider if the files should be combined instead
+- Use normal naming conventions for constants (e.g., `Padding`, `FontSize`) 
+- AVOID ALL_CAPS naming style for constants
+
+## Code Organization Philosophy
+- Prefer keeping related functionality together rather than over-abstracting
+- Constants that appear in multiple places might indicate files should be merged
+- Only create shared utilities when there's genuine reuse across different functional areas
+- Branding text and similar elements that appear throughout the app are good candidates for centralization
+
diff --git a/MultiImageClient/ImageCombiner.cs b/MultiImageClient/ImageCombiner.cs
deleted file mode 100644
index 3e62ddf..0000000
--- a/MultiImageClient/ImageCombiner.cs
+++ /dev/null
@@ -1,279 +0,0 @@
-using SixLabors.Fonts;
-using SixLabors.ImageSharp;
-using SixLabors.ImageSharp.Drawing.Processing;
-using SixLabors.ImageSharp.PixelFormats;
-using SixLabors.ImageSharp.Processing;
-
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Linq;
-using System.Threading.Tasks;
-
-
-namespace MultiImageClient
-{
-    public static class ImageCombiner
-    {
-        private const int PLACEHOLDER_WIDTH = 300;
-        private const int PADDING = 10;
-        private const int GENERATOR_NAME_FONT_SIZE = 40;
-        private const int PROMPT_FONT_SIZE = 80;
-        private const float LINE_SPACING = 1.15f;
-
-        public static async Task<string> CombineImagesHorizontallyAsync(
-            IEnumerable<TaskProcessResult> results,
-            string prompt,
-            Settings settings)
-        {
-            // Prepare fonts using shared utilities
-            var generatorFont = FontUtils.CreateFont(GENERATOR_NAME_FONT_SIZE, FontStyle.Bold);
-            var promptFont = FontUtils.CreateFont(PROMPT_FONT_SIZE, FontStyle.Regular);
-
-            // Load all images and calculate dimensions
-            var loadedImages = LoadImages(results);
-            var dimensions = CalculateCombinedDimensions(loadedImages, prompt, generatorFont, promptFont);
-
-            // Create combined image with standard settings
-            using var combinedImage = ImageUtils.CreateStandardImage(dimensions.TotalWidth, dimensions.TotalHeight, Color.White);
-
-            combinedImage.Mutate(ctx =>
-            {
-                // Draw images and subtitles
-                DrawImagesWithSubtitles(ctx, loadedImages, dimensions.MaxImageHeight, generatorFont);
-
-                // Draw prompt at bottom
-                DrawPromptText(ctx, prompt, promptFont, dimensions);
-            });
-
-            // Save the combined image
-            var outputPath = await SaveCombinedImageAsync(combinedImage, prompt, settings);
-
-            // Dispose loaded images
-            foreach (var loadedImage in loadedImages)
-            {
-                loadedImage.Image?.Dispose();
-            }
-
-            return outputPath;
-        }
-
-        private static IEnumerable<LoadedImage> LoadImages(IEnumerable<TaskProcessResult> results)
-        {
-            var loadedImages = new List<LoadedImage>();
-
-            foreach (var result in results)
-            {
-                if (result.IsSuccess)
-                {
-                    try
-                    {
-                        // Use GetImageBytes() to get the stored bytes
-                        var imageBytes = result.GetImageBytes();
-                        if (imageBytes != null && imageBytes.Length > 0)
-                        {
-                            var image = Image.Load<Rgba32>(imageBytes);
-                            loadedImages.Add(new LoadedImage
-                            {
-                                Success = true,
-                                Image = image,
-                                GeneratorName = result.ImageGenerator.ToString(),
-                                Width = image.Width,
-                                Height = image.Height
-                            });
-                        }
-                        else
-                        {
-                            // Success but no bytes somehow
-                            Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
-                            loadedImages.Add(CreatePlaceholderImage(result.ImageGenerator.ToString(), false));
-                        }
-                    }
-                    catch (Exception ex)
-                    {
-                        // GetImageBytes() might throw if bytes weren't set, or image loading failed
-                        Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
-                        loadedImages.Add(CreatePlaceholderImage(result.ImageGenerator.ToString(), false));
-                    }
-                }
-                else
-                {
-                    // Failed result - show placeholder with error
-                    var errorMsg = !string.IsNullOrEmpty(result.ErrorMessage)
-                        ? result.ErrorMessage
-                        : result.GenericImageErrorType.ToString();
-                    Logger.Log($"Result failed for {result.ImageGenerator}: {errorMsg}");
-                    loadedImages.Add(CreatePlaceholderImage(result.ImageGenerator.ToString(), false));
-                }
-            }
-
-            return loadedImages.OrderBy(el=>el.GeneratorName);
-        }
-
-        private static LoadedImage CreatePlaceholderImage(string generatorName, bool success)
-        {
-            return new LoadedImage
-            {
-                Success = success,
-                Image = null,
-                GeneratorName = generatorName,
-                Width = PLACEHOLDER_WIDTH,
-                Height = PLACEHOLDER_WIDTH
-            };
-        }
-
-        private static ImageDimensions CalculateCombinedDimensions(
-            IEnumerable<LoadedImage> loadedImages,
-            string prompt,
-            Font subtitleFont,
-            Font promptFont)
-        {
-            int totalWidth = loadedImages.Sum(img => img.Width);
-            int maxImageHeight = loadedImages.Where(img => img.Success).Any()
-                ? loadedImages.Where(img => img.Success).Max(img => img.Height)
-                : PLACEHOLDER_WIDTH;
-
-            // Calculate text heights
-            var subtitleHeight = MeasureTextHeight(loadedImages.Select(img => GetStatusText(img)), subtitleFont);
-            var promptHeight = MeasureTextHeight(new[] { prompt }, promptFont);
-
-            return new ImageDimensions
-            {
-                TotalWidth = totalWidth,
-                MaxImageHeight = maxImageHeight,
-                SubtitleHeight = subtitleHeight + PADDING,
-                PromptHeight = promptHeight + PADDING,
-                TotalHeight = maxImageHeight + subtitleHeight + promptHeight + (PADDING * 3)
-            };
-        }
-
-        private static int MeasureTextHeight(IEnumerable<string> texts, Font font)
-        {
-            int maxHeight = 0;
-
-            foreach (var text in texts)
-            {
-                if (!string.IsNullOrEmpty(text))
-                {
-                    var height = ImageUtils.MeasureTextHeight(text, font, LINE_SPACING);
-                    maxHeight = Math.Max(maxHeight, height);
-                }
-            }
-
-            return maxHeight;
-        }
-
-        private static void DrawImagesWithSubtitles(
-            IImageProcessingContext ctx,
-            IEnumerable<LoadedImage> loadedImages,
-            int maxImageHeight,
-            Font subtitleFont)
-        {
-            int currentX = 0;
-
-            foreach (var loadedImage in loadedImages)
-            {
-                // Draw image or placeholder
-                if (loadedImage.Success && loadedImage.Image != null)
-                {
-                    ctx.DrawImage(loadedImage.Image, new Point(currentX, 0), 1f);
-                }
-                else
-                {
-                    // Draw placeholder rectangle
-                    var placeholderRect = new RectangleF(currentX, 0, loadedImage.Width, maxImageHeight);
-                    ctx.Fill(Color.FromRgb(240, 240, 240), placeholderRect);
-                    ctx.Draw(Color.FromRgb(200, 200, 200), 2f, placeholderRect);
-
-                    // Draw error text in center
-                    var errorTextOptions = FontUtils.CreateTextOptions(subtitleFont, 
-                        HorizontalAlignment.Center, VerticalAlignment.Center);
-                    errorTextOptions.Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight / 2f);
-                    ctx.DrawTextStandard(errorTextOptions, "Failed", Color.FromRgb(180, 0, 0));
-                }
-
-                // Draw subtitle
-                var statusText = GetStatusText(loadedImage);
-                var statusColor = loadedImage.Success ? Color.FromRgb(0, 120, 0) : Color.FromRgb(180, 0, 0);
-
-                var subtitleOptions = FontUtils.CreateTextOptions(subtitleFont, 
-                    HorizontalAlignment.Center, VerticalAlignment.Top);
-                subtitleOptions.Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight + PADDING);
-
-                ctx.DrawTextStandard(subtitleOptions, statusText, statusColor);
-
-                currentX += loadedImage.Width;
-            }
-        }
-
-        private static void DrawPromptText(
-            IImageProcessingContext ctx,
-            string prompt,
-            Font promptFont,
-            ImageDimensions dimensions)
-        {
-            var promptY = dimensions.MaxImageHeight + dimensions.SubtitleHeight + PADDING;
-
-            var promptOptions = FontUtils.CreateTextOptions(promptFont, 
-                HorizontalAlignment.Center, VerticalAlignment.Top);
-            promptOptions.Origin = new PointF(dimensions.TotalWidth / 2f, promptY);
-            promptOptions.WrappingLength = dimensions.TotalWidth - (PADDING * 4);
-
-            ctx.DrawTextStandard(promptOptions, prompt, Color.Black);
-        }
-
-        private static async Task<string> SaveCombinedImageAsync(
-            Image<Rgba32> image,
-            string prompt,
-            Settings settings)
-        {
-            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
-            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
-            Directory.CreateDirectory(baseFolder);
-
-            var truncatedPrompt = FilenameGenerator.TruncatePrompt(prompt, 50);
-            var baseFilename = $"combined_{truncatedPrompt}_{DateTime.Now:HHmmss}";
-            var safeFilename = baseFilename;
-            var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
-
-            // Ensure unique filename
-            int counter = 1;
-            while (File.Exists(outputPath))
-            {
-                outputPath = Path.Combine(baseFolder, $"{safeFilename}_{counter}.png");
-                counter++;
-            }
-
-            await image.SaveAsPngAsync(outputPath);
-            Logger.Log($"Combined image saved: {outputPath}");
-
-            return outputPath;
-        }
-
-        private static string GetStatusText(LoadedImage image)
-        {
-            return image.Success
-                ? $"{image.GeneratorName}"
-                : $"{image.GeneratorName}";
-        }
-
-        // Helper classes
-        private class LoadedImage
-        {
-            public bool Success { get; set; }
-            public Image<Rgba32> Image { get; set; }
-            public string GeneratorName { get; set; }
-            public int Width { get; set; }
-            public int Height { get; set; }
-        }
-
-        private class ImageDimensions
-        {
-            public int TotalWidth { get; set; }
-            public int MaxImageHeight { get; set; }
-            public int SubtitleHeight { get; set; }
-            public int PromptHeight { get; set; }
-            public int TotalHeight { get; set; }
-        }
-    }
-}
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 9faa8a8..bc01f82 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -15,13 +15,16 @@
 using System.Net.Http;
 using System.Threading.Tasks;
 
-using static System.Net.Mime.MediaTypeNames;
 
 namespace MultiImageClient
 {
     public static class ImageSaving
     {
         private static readonly HttpClient httpClient = new HttpClient();
+        
+        private const int LabelRightSideWidth = 200;
+        private const int LabelFontSize = 24;
+        private const float LabelLineHeightMultiplier = 1.5f;
 
         public static void ConvertWebpTopng(string inputFp)
         {
@@ -159,10 +162,10 @@ await TextFormatting.SaveImageAndAnnotate(
 
         public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rightParts)
         {
-            var rightSideWidth = 200;
+            var rightSideWidth = LabelRightSideWidth;
             var leftSideWidth = width - rightSideWidth;
-            var padding = 5;
-            var fontSize = 24;
+            var padding = UIConstants.Padding;
+            var fontSize = LabelFontSize;
             var font = FontUtils.CreateFont(fontSize, FontStyle.Regular);
 
             // Measure left side text to determine height
@@ -170,8 +173,7 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
                 HorizontalAlignment.Left, VerticalAlignment.Top);
             leftTextOptions.WrappingLength = leftSideWidth - (padding * 2);
 
-            var leftTextBounds = TextMeasurer.MeasureBounds(prompt, leftTextOptions);
-            int leftTextHeight = (int)Math.Ceiling(leftTextBounds.Height);
+            int leftTextHeight = ImageUtils.MeasureTextHeight(prompt, font, UIConstants.LineSpacing, leftTextOptions.WrappingLength);
 
             // Calculate right side font size (scale down if needed to fit width)
             var rightFont = font;
@@ -183,18 +185,13 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
                 var testOptions = FontUtils.CreateTextOptions(rightFont, HorizontalAlignment.Right);
                 var textBounds = TextMeasurer.MeasureBounds(text, testOptions);
 
-                // If text is too wide, scale down font
-                while (textBounds.Width > rightSideWidth - (padding * 2) && rightFontSize > 8)
-                {
-                    rightFontSize--;
-                    rightFont = FontUtils.CreateFont(rightFontSize, FontStyle.Regular);
-                    testOptions = FontUtils.CreateTextOptions(rightFont, HorizontalAlignment.Right);
-                    textBounds = TextMeasurer.MeasureBounds(text, testOptions);
-                }
+                // Auto-size font to fit width
+                rightFont = ImageUtils.AutoSizeFont(text, rightSideWidth, rightFontSize, UIConstants.MinFontSize, FontStyle.Regular);
+                rightFontSize = (int)rightFont.Size;
             }
 
             // Calculate right side height (number of lines * line height)
-            var rightLineHeight = rightFontSize * 1.5f; // Line spacing
+            var rightLineHeight = rightFontSize * LabelLineHeightMultiplier;
             var rightTextHeight = (int)(rightParts.Where(s => !string.IsNullOrEmpty(s)).Count() * rightLineHeight);
 
             // Overall height is the maximum of left and right sides plus padding
@@ -202,32 +199,27 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
             int totalHeight = contentHeight + (padding * 2);
 
             // Create the image with standard settings
-            using var image = ImageUtils.CreateStandardImage(width, totalHeight, Color.Black);
+            using var image = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.Black);
 
             image.Mutate(ctx =>
             {
 
-                // Draw left side box border (optional - you can remove if not wanted)
-                ctx.Draw(Color.White, 1f, new RectangleF(0, 0, leftSideWidth, totalHeight));
+                // Draw left side box border and text
+                var leftRect = new RectangleF(0, 0, leftSideWidth, totalHeight);
+                ctx.DrawTextWithBackground(leftRect, prompt, font, UIConstants.White, UIConstants.Black, HorizontalAlignment.Left);
 
-                // Draw left side text
-                leftTextOptions.Origin = new PointF(padding, padding);
-                ctx.DrawTextStandard(leftTextOptions, prompt, Color.White);
-
-                // Draw right side box border (optional - you can remove if not wanted)
-                ctx.Draw(Color.White, 1f, new RectangleF(leftSideWidth, 0, rightSideWidth, totalHeight));
+                // Draw right side box border
+                ctx.Draw(UIConstants.White, 1f, new RectangleF(leftSideWidth, 0, rightSideWidth, totalHeight));
 
                 // Draw right side text (gold color, right-aligned)
-                var goldColor = Color.FromRgb(255, 215, 0); // Gold color
                 var yOffset = padding;
-
                 foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
                 {
                     var rightTextOptions = FontUtils.CreateTextOptions(rightFont, 
                         HorizontalAlignment.Right, VerticalAlignment.Top);
                     rightTextOptions.Origin = new PointF(width - padding, yOffset);
 
-                    ctx.DrawTextStandard(rightTextOptions, text, goldColor);
+                    ctx.DrawTextStandard(rightTextOptions, text, UIConstants.Gold);
                     yOffset += (int)rightLineHeight;
                 }
             });
@@ -287,5 +279,256 @@ private static Dictionary<string, string> GetAnnotationDefaultData(
                                  .ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
             return imageInfo;
         }
+
+        // Image combining functionality (previously in ImageCombiner.cs)
+        public static async Task<string> CombineImagesHorizontallyAsync(
+            IEnumerable<TaskProcessResult> results,
+            string prompt,
+            Settings settings)
+        {
+            const int placeholderWidth = 300;
+            const int generatorFontSize = 40;
+            const int promptFontSize = 80;
+
+            // Prepare fonts
+            var generatorFont = FontUtils.CreateFont(generatorFontSize, FontStyle.Bold);
+            var promptFont = FontUtils.CreateFont(promptFontSize, FontStyle.Regular);
+
+            // Load all images and calculate dimensions
+            var loadedImages = LoadResultImages(results, placeholderWidth);
+            var dimensions = CalculateDimensions(loadedImages, prompt, generatorFont, promptFont);
+
+            // Create combined image with standard settings
+            using var combinedImage = ImageUtils.CreateStandardImage(dimensions.TotalWidth, dimensions.TotalHeight, UIConstants.White);
+
+            combinedImage.Mutate(ctx =>
+            {
+                // Draw images and subtitles
+                DrawImagesAndLabels(ctx, loadedImages, dimensions.MaxImageHeight, generatorFont);
+
+                // Draw prompt at bottom
+                DrawPrompt(ctx, prompt, promptFont, dimensions);
+            });
+
+            // Save the combined image
+            var outputPath = await SaveCombinedImage(combinedImage, prompt, settings);
+
+            // Dispose loaded images
+            foreach (var loadedImage in loadedImages)
+            {
+                loadedImage.Image?.Dispose();
+            }
+
+            return outputPath;
+        }
+
+        private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcessResult> results, int placeholderWidth)
+        {
+            var loadedImages = new List<LoadedImage>();
+
+            foreach (var result in results)
+            {
+                if (result.IsSuccess)
+                {
+                    try
+                    {
+                        // Use GetImageBytes() to get the stored bytes
+                        var imageBytes = result.GetImageBytes();
+                        if (imageBytes != null && imageBytes.Length > 0)
+                        {
+                            var image = Image.Load<Rgba32>(imageBytes);
+                            loadedImages.Add(new LoadedImage
+                            {
+                                Success = true,
+                                Image = image,
+                                GeneratorName = result.ImageGenerator.ToString(),
+                                Width = image.Width,
+                                Height = image.Height
+                            });
+                        }
+                        else
+                        {
+                            // Success but no bytes somehow
+                            Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
+                            loadedImages.Add(CreatePlaceholder(result.ImageGenerator.ToString(), false, placeholderWidth));
+                        }
+                    }
+                    catch (Exception ex)
+                    {
+                        // GetImageBytes() might throw if bytes weren't set, or image loading failed
+                        Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
+                        loadedImages.Add(CreatePlaceholder(result.ImageGenerator.ToString(), false, placeholderWidth));
+                    }
+                }
+                else
+                {
+                    // Failed result - show placeholder with error
+                    var errorMsg = !string.IsNullOrEmpty(result.ErrorMessage)
+                        ? result.ErrorMessage
+                        : result.GenericImageErrorType.ToString();
+                    Logger.Log($"Result failed for {result.ImageGenerator}: {errorMsg}");
+                    loadedImages.Add(CreatePlaceholder(result.ImageGenerator.ToString(), false, placeholderWidth));
+                }
+            }
+
+            return loadedImages.OrderBy(el=>el.GeneratorName);
+        }
+
+        private static LoadedImage CreatePlaceholder(string generatorName, bool success, int placeholderWidth)
+        {
+            return new LoadedImage
+            {
+                Success = success,
+                Image = null,
+                GeneratorName = generatorName,
+                Width = placeholderWidth,
+                Height = placeholderWidth
+            };
+        }
+
+        private static ImageDimensions CalculateDimensions(
+            IEnumerable<LoadedImage> loadedImages,
+            string prompt,
+            Font subtitleFont,
+            Font promptFont)
+        {
+            int totalWidth = loadedImages.Sum(img => img.Width);
+            int maxImageHeight = loadedImages.Where(img => img.Success).Any()
+                ? loadedImages.Where(img => img.Success).Max(img => img.Height)
+                : 300; // Default placeholder size
+
+            // Calculate text heights
+            var subtitleHeight = MeasureMaxHeight(loadedImages.Select(img => GetStatusText(img)), subtitleFont);
+            var promptHeight = MeasureMaxHeight(new[] { prompt }, promptFont);
+
+            return new ImageDimensions
+            {
+                TotalWidth = totalWidth,
+                MaxImageHeight = maxImageHeight,
+                SubtitleHeight = subtitleHeight + UIConstants.Padding,
+                PromptHeight = promptHeight + UIConstants.Padding,
+                TotalHeight = maxImageHeight + subtitleHeight + promptHeight + (UIConstants.Padding * 3)
+            };
+        }
+
+        private static int MeasureMaxHeight(IEnumerable<string> texts, Font font)
+        {
+            int maxHeight = 0;
+
+            foreach (var text in texts)
+            {
+                if (!string.IsNullOrEmpty(text))
+                {
+                    var height = ImageUtils.MeasureTextHeight(text, font, UIConstants.LineSpacing);
+                    maxHeight = Math.Max(maxHeight, height);
+                }
+            }
+
+            return maxHeight;
+        }
+
+        private static void DrawImagesAndLabels(
+            IImageProcessingContext ctx,
+            IEnumerable<LoadedImage> loadedImages,
+            int maxImageHeight,
+            Font subtitleFont)
+        {
+            int currentX = 0;
+
+            foreach (var loadedImage in loadedImages)
+            {
+                // Draw image or placeholder
+                if (loadedImage.Success && loadedImage.Image != null)
+                {
+                    ctx.DrawImage(loadedImage.Image, new Point(currentX, 0), 1f);
+                }
+                else
+                {
+                    // Draw placeholder rectangle with error text
+                    var placeholderRect = new RectangleF(currentX, 0, loadedImage.Width, maxImageHeight);
+                    ctx.DrawPlaceholder(placeholderRect, "Failed", subtitleFont);
+                }
+
+                // Draw subtitle
+                var statusText = GetStatusText(loadedImage);
+                var statusColor = loadedImage.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+
+                var subtitleOptions = FontUtils.CreateTextOptions(subtitleFont, 
+                    HorizontalAlignment.Center, VerticalAlignment.Top);
+                subtitleOptions.Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight + UIConstants.Padding);
+
+                ctx.DrawTextStandard(subtitleOptions, statusText, statusColor);
+
+                currentX += loadedImage.Width;
+            }
+        }
+
+        private static void DrawPrompt(
+            IImageProcessingContext ctx,
+            string prompt,
+            Font promptFont,
+            ImageDimensions dimensions)
+        {
+            var promptY = dimensions.MaxImageHeight + dimensions.SubtitleHeight + UIConstants.Padding;
+
+            var promptOptions = FontUtils.CreateTextOptions(promptFont, 
+                HorizontalAlignment.Center, VerticalAlignment.Top);
+            promptOptions.Origin = new PointF(dimensions.TotalWidth / 2f, promptY);
+            promptOptions.WrappingLength = dimensions.TotalWidth - (UIConstants.Padding * 4);
+
+            ctx.DrawTextStandard(promptOptions, prompt, UIConstants.Black);
+        }
+
+        private static async Task<string> SaveCombinedImage(
+            Image<Rgba32> image,
+            string prompt,
+            Settings settings)
+        {
+            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
+            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
+            Directory.CreateDirectory(baseFolder);
+
+            var truncatedPrompt = FilenameGenerator.TruncatePrompt(prompt, 50);
+            var baseFilename = $"combined_{truncatedPrompt}_{DateTime.Now:HHmmss}";
+            var safeFilename = baseFilename;
+            var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
+
+            // Ensure unique filename
+            int counter = 1;
+            while (File.Exists(outputPath))
+            {
+                outputPath = Path.Combine(baseFolder, $"{safeFilename}_{counter}.png");
+                counter++;
+            }
+
+            await image.SaveAsPngAsync(outputPath);
+            Logger.Log($"Combined image saved: {outputPath}");
+
+            return outputPath;
+        }
+
+        private static string GetStatusText(LoadedImage image)
+        {
+            return image.GeneratorName;
+        }
+
+        // Helper classes for image combining
+        private class LoadedImage
+        {
+            public bool Success { get; set; }
+            public Image<Rgba32> Image { get; set; }
+            public string GeneratorName { get; set; }
+            public int Width { get; set; }
+            public int Height { get; set; }
+        }
+
+        private class ImageDimensions
+        {
+            public int TotalWidth { get; set; }
+            public int MaxImageHeight { get; set; }
+            public int SubtitleHeight { get; set; }
+            public int PromptHeight { get; set; }
+            public int TotalHeight { get; set; }
+        }
     }
 }
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 4bbdbb5..f52292d 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -129,7 +129,7 @@ static async Task Main(string[] args)
 
                     try
                     {
-                        var res = ImageCombiner.CombineImagesHorizontallyAsync(results, promptString.Prompt, settings);
+                        var res = ImageSaving.CombineImagesHorizontallyAsync(results, promptString.Prompt, settings);
                     }
                     catch (Exception ex)
                     {
diff --git a/MultiImageClient/UIConstants.cs b/MultiImageClient/UIConstants.cs
new file mode 100644
index 0000000..3778c78
--- /dev/null
+++ b/MultiImageClient/UIConstants.cs
@@ -0,0 +1,21 @@
+using SixLabors.ImageSharp;
+
+namespace MultiImageClient
+{
+    public static class UIConstants
+    {
+        // Shared across multiple files
+        public const int Padding = 10;
+        public const float LineSpacing = 1.15f;
+        public const int MinFontSize = 8;
+
+        // Colors
+        public static readonly Color White = Color.White;
+        public static readonly Color Black = Color.Black;
+        public static readonly Color SuccessGreen = Color.FromRgb(0, 120, 0);
+        public static readonly Color ErrorRed = Color.FromRgb(180, 0, 0);
+        public static readonly Color PlaceholderFill = Color.FromRgb(240, 240, 240);
+        public static readonly Color PlaceholderBorder = Color.FromRgb(200, 200, 200);
+        public static readonly Color Gold = Color.FromRgb(255, 215, 0);
+    }
+}
diff --git a/MultiImageClient/Utils/FontUtils.cs b/MultiImageClient/Utils/FontUtils.cs
index 3ad9486..ae4654d 100644
--- a/MultiImageClient/Utils/FontUtils.cs
+++ b/MultiImageClient/Utils/FontUtils.cs
@@ -4,17 +4,12 @@
 
 namespace MultiImageClient
 {
-    /// <summary>
-    /// Centralized font handling utilities to avoid duplication across the application.
-    /// </summary>
     public static class FontUtils
     {
         private static FontFamily? _cachedSystemFont;
 
-        /// <summary>
-        /// Gets the preferred system font family with fallback logic.
-        /// Order: Segoe UI → Arial → First available system font
-        /// </summary>
+        // Gets the preferred system font family with fallback logic.
+        // Order: Segoe UI → Arial → First available system font
         public static FontFamily GetSystemFont()
         {
             if (_cachedSystemFont != null)
@@ -37,17 +32,11 @@ public static FontFamily GetSystemFont()
             return fallbackFont;
         }
 
-        /// <summary>
-        /// Creates a font with the preferred system font family.
-        /// </summary>
         public static Font CreateFont(float size, FontStyle style = FontStyle.Regular)
         {
             return GetSystemFont().CreateFont(size, style);
         }
 
-        /// <summary>
-        /// Creates standard RichTextOptions with common settings.
-        /// </summary>
         public static RichTextOptions CreateTextOptions(Font font, 
             HorizontalAlignment horizontalAlignment = HorizontalAlignment.Left,
             VerticalAlignment verticalAlignment = VerticalAlignment.Top,
diff --git a/MultiImageClient/Utils/ImageUtils.cs b/MultiImageClient/Utils/ImageUtils.cs
index 1a1805b..819c22b 100644
--- a/MultiImageClient/Utils/ImageUtils.cs
+++ b/MultiImageClient/Utils/ImageUtils.cs
@@ -4,6 +4,8 @@
 using SixLabors.ImageSharp.Processing;
 using SixLabors.Fonts;
 using System;
+using System.Collections.Generic;
+using System.Linq;
 
 namespace MultiImageClient
 {
@@ -57,5 +59,70 @@ public static Image<Rgba32> CreateStandardImage(int width, int height, Color? ba
 
             return image;
         }
+
+        public static int MeasureMaxTextHeight(IEnumerable<string> texts, Font font, float lineSpacing = UIConstants.LineSpacing)
+        {
+            int maxHeight = 0;
+
+            foreach (var text in texts.Where(t => !string.IsNullOrEmpty(t)))
+            {
+                var height = MeasureTextHeight(text, font, lineSpacing);
+                maxHeight = Math.Max(maxHeight, height);
+            }
+
+            return maxHeight;
+        }
+
+        public static void DrawPlaceholder(this IImageProcessingContext ctx, RectangleF bounds, string errorText, Font font)
+        {
+            // Draw placeholder background and border
+            ctx.Fill(UIConstants.PlaceholderFill, bounds);
+            ctx.Draw(UIConstants.PlaceholderBorder, 2f, bounds);
+
+            // Draw error text in center
+            var errorTextOptions = FontUtils.CreateTextOptions(font, 
+                HorizontalAlignment.Center, VerticalAlignment.Center);
+            errorTextOptions.Origin = new PointF(bounds.X + bounds.Width / 2f, bounds.Y + bounds.Height / 2f);
+            
+            ctx.DrawTextStandard(errorTextOptions, errorText, UIConstants.ErrorRed);
+        }
+
+        public static Font AutoSizeFont(string text, int maxWidth, int startingSize, int minSize = UIConstants.MinFontSize, FontStyle style = FontStyle.Regular)
+        {
+            var fontSize = startingSize;
+            var font = FontUtils.CreateFont(fontSize, style);
+            var textOptions = FontUtils.CreateTextOptions(font, HorizontalAlignment.Left);
+            var textBounds = TextMeasurer.MeasureBounds(text, textOptions);
+
+            while (textBounds.Width > maxWidth - (UIConstants.Padding * 2) && fontSize > minSize)
+            {
+                fontSize--;
+                font = FontUtils.CreateFont(fontSize, style);
+                textOptions = FontUtils.CreateTextOptions(font, HorizontalAlignment.Left);
+                textBounds = TextMeasurer.MeasureBounds(text, textOptions);
+            }
+
+            return font;
+        }
+
+        public static void DrawTextWithBackground(this IImageProcessingContext ctx, RectangleF backgroundBounds, 
+            string text, Font font, Color textColor, Color backgroundColor, 
+            HorizontalAlignment alignment = HorizontalAlignment.Center)
+        {
+            // Draw background
+            ctx.Fill(backgroundColor, backgroundBounds);
+            ctx.Draw(UIConstants.White, 1f, backgroundBounds);
+
+            // Draw text
+            var textOptions = FontUtils.CreateTextOptions(font, alignment, VerticalAlignment.Center);
+            textOptions.Origin = alignment switch
+            {
+                HorizontalAlignment.Left => new PointF(backgroundBounds.X + UIConstants.Padding, backgroundBounds.Y + backgroundBounds.Height / 2f),
+                HorizontalAlignment.Right => new PointF(backgroundBounds.X + backgroundBounds.Width - UIConstants.Padding, backgroundBounds.Y + backgroundBounds.Height / 2f),
+                _ => new PointF(backgroundBounds.X + backgroundBounds.Width / 2f, backgroundBounds.Y + backgroundBounds.Height / 2f)
+            };
+
+            ctx.DrawTextStandard(textOptions, text, textColor);
+        }
     }
 }

From 3cb2eb043c2359db35b93a399e927e59f16bcad7 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 14:08:05 -0700
Subject: [PATCH 29/78] standardizing

---
 .../Implementation/ImageSaving.cs             | 35 ++++++++++++-------
 .../Implementation/TextFormatting.cs          |  4 +--
 MultiImageClient/UIConstants.cs               |  1 +
 MultiImageClient/Utils/FontUtils.cs           |  2 +-
 MultiImageClient/Utils/ImageUtils.cs          | 17 +++++----
 5 files changed, 38 insertions(+), 21 deletions(-)

diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index bc01f82..7b50db9 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -23,7 +23,7 @@ public static class ImageSaving
         private static readonly HttpClient httpClient = new HttpClient();
         
         private const int LabelRightSideWidth = 200;
-        private const int LabelFontSize = 24;
+        private const int LabelFontSize = 12;
         private const float LabelLineHeightMultiplier = 1.5f;
 
         public static void ConvertWebpTopng(string inputFp)
@@ -190,9 +190,9 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
                 rightFontSize = (int)rightFont.Size;
             }
 
-            // Calculate right side height (number of lines * line height)
-            var rightLineHeight = rightFontSize * LabelLineHeightMultiplier;
-            var rightTextHeight = (int)(rightParts.Where(s => !string.IsNullOrEmpty(s)).Count() * rightLineHeight);
+            // Calculate right side height using proper text height measurement
+            var rightLineHeight = ImageUtils.MeasureTextHeight("Sample", rightFont, UIConstants.LineSpacing);
+            var rightTextHeight = rightParts.Where(s => !string.IsNullOrEmpty(s)).Count() * rightLineHeight;
 
             // Overall height is the maximum of left and right sides plus padding
             int contentHeight = Math.Max(leftTextHeight, rightTextHeight);
@@ -220,7 +220,7 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
                     rightTextOptions.Origin = new PointF(width - padding, yOffset);
 
                     ctx.DrawTextStandard(rightTextOptions, text, UIConstants.Gold);
-                    yOffset += (int)rightLineHeight;
+                    yOffset += rightLineHeight;
                 }
             });
 
@@ -288,7 +288,7 @@ public static async Task<string> CombineImagesHorizontallyAsync(
         {
             const int placeholderWidth = 300;
             const int generatorFontSize = 40;
-            const int promptFontSize = 80;
+            const int promptFontSize = 32;
 
             // Prepare fonts
             var generatorFont = FontUtils.CreateFont(generatorFontSize, FontStyle.Bold);
@@ -399,15 +399,21 @@ private static ImageDimensions CalculateDimensions(
 
             // Calculate text heights
             var subtitleHeight = MeasureMaxHeight(loadedImages.Select(img => GetStatusText(img)), subtitleFont);
-            var promptHeight = MeasureMaxHeight(new[] { prompt }, promptFont);
+            
+            // Calculate prompt height with wrapping support
+            var wrappingWidth = totalWidth - (UIConstants.Padding * 4);
+            var promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
+            
+            // Add extra padding for better spacing around the prompt
+            var extraPadding = UIConstants.Padding * 2;
 
             return new ImageDimensions
             {
                 TotalWidth = totalWidth,
                 MaxImageHeight = maxImageHeight,
                 SubtitleHeight = subtitleHeight + UIConstants.Padding,
-                PromptHeight = promptHeight + UIConstants.Padding,
-                TotalHeight = maxImageHeight + subtitleHeight + promptHeight + (UIConstants.Padding * 3)
+                PromptHeight = promptHeight + extraPadding + UIConstants.Padding,
+                TotalHeight = maxImageHeight + subtitleHeight + promptHeight + extraPadding + (UIConstants.Padding * 3)
             };
         }
 
@@ -469,11 +475,16 @@ private static void DrawPrompt(
             Font promptFont,
             ImageDimensions dimensions)
         {
-            var promptY = dimensions.MaxImageHeight + dimensions.SubtitleHeight + UIConstants.Padding;
+            var promptAreaTop = dimensions.MaxImageHeight + dimensions.SubtitleHeight + UIConstants.Padding;
+            var promptAreaHeight = dimensions.PromptHeight;
+            
+            // Add extra padding above the prompt area for better spacing
+            var extraPadding = UIConstants.Padding * 2;
+            var promptY = promptAreaTop + extraPadding + (promptAreaHeight - extraPadding) / 2f;
 
             var promptOptions = FontUtils.CreateTextOptions(promptFont, 
-                HorizontalAlignment.Center, VerticalAlignment.Top);
-            promptOptions.Origin = new PointF(dimensions.TotalWidth / 2f, promptY);
+                HorizontalAlignment.Left, VerticalAlignment.Center);
+            promptOptions.Origin = new PointF(UIConstants.Padding * 2, promptY);
             promptOptions.WrappingLength = dimensions.TotalWidth - (UIConstants.Padding * 4);
 
             ctx.DrawTextStandard(promptOptions, prompt, UIConstants.Black);
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/Implementation/TextFormatting.cs
index e4f967f..1f5827c 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/Implementation/TextFormatting.cs
@@ -103,7 +103,7 @@ public static async Task JustAddSimpleTextToBottomAsync(byte[] imageBytes, IEnum
                 LineSpacing = 1.15f,
                 HorizontalAlignment = HorizontalAlignment.Left,
                 VerticalAlignment = VerticalAlignment.Top,
-                Dpi= 72,
+                Dpi = UIConstants.TextDpi,
                 FallbackFontFamilies = new[] { SystemFonts.Families.First() }
             };
 
@@ -144,7 +144,7 @@ public static async Task JustAddSimpleTextToBottomAsync(byte[] imageBytes, IEnum
                 {
                     HorizontalAlignment = HorizontalAlignment.Right,
                     VerticalAlignment = VerticalAlignment.Bottom,
-                    Dpi = 72,
+                    Dpi = UIConstants.TextDpi,
                     Origin = new PointF(imageWidth - horizontalPadding, newHeight - verticalPadding)
                 };
 
diff --git a/MultiImageClient/UIConstants.cs b/MultiImageClient/UIConstants.cs
index 3778c78..98382eb 100644
--- a/MultiImageClient/UIConstants.cs
+++ b/MultiImageClient/UIConstants.cs
@@ -8,6 +8,7 @@ public static class UIConstants
         public const int Padding = 10;
         public const float LineSpacing = 1.15f;
         public const int MinFontSize = 8;
+        public const int TextDpi = 300;
 
         // Colors
         public static readonly Color White = Color.White;
diff --git a/MultiImageClient/Utils/FontUtils.cs b/MultiImageClient/Utils/FontUtils.cs
index ae4654d..be3d64e 100644
--- a/MultiImageClient/Utils/FontUtils.cs
+++ b/MultiImageClient/Utils/FontUtils.cs
@@ -47,7 +47,7 @@ public static RichTextOptions CreateTextOptions(Font font,
                 HorizontalAlignment = horizontalAlignment,
                 VerticalAlignment = verticalAlignment,
                 LineSpacing = lineSpacing,
-                Dpi = 72,
+                Dpi = UIConstants.TextDpi,
                 FallbackFontFamilies = new[] { GetSystemFont() }
             };
         }
diff --git a/MultiImageClient/Utils/ImageUtils.cs b/MultiImageClient/Utils/ImageUtils.cs
index 819c22b..67253f8 100644
--- a/MultiImageClient/Utils/ImageUtils.cs
+++ b/MultiImageClient/Utils/ImageUtils.cs
@@ -14,7 +14,7 @@ public static class ImageUtils
         public static readonly GraphicsOptions StandardGraphicsOptions = new GraphicsOptions
         {
             Antialias = true,
-            AntialiasSubpixelDepth = 16
+            AntialiasSubpixelDepth = 32
         };
 
         public static void ApplyStandardGraphicsOptions(this IImageProcessingContext ctx)
@@ -113,13 +113,18 @@ public static void DrawTextWithBackground(this IImageProcessingContext ctx, Rect
             ctx.Fill(backgroundColor, backgroundBounds);
             ctx.Draw(UIConstants.White, 1f, backgroundBounds);
 
-            // Draw text
-            var textOptions = FontUtils.CreateTextOptions(font, alignment, VerticalAlignment.Center);
+            // Draw text with proper wrapping and top alignment
+            var textOptions = FontUtils.CreateTextOptions(font, alignment, VerticalAlignment.Top);
+            
+            // Set wrapping length to prevent text overflow
+            var availableWidth = backgroundBounds.Width - (UIConstants.Padding * 2);
+            textOptions.WrappingLength = availableWidth;
+            
             textOptions.Origin = alignment switch
             {
-                HorizontalAlignment.Left => new PointF(backgroundBounds.X + UIConstants.Padding, backgroundBounds.Y + backgroundBounds.Height / 2f),
-                HorizontalAlignment.Right => new PointF(backgroundBounds.X + backgroundBounds.Width - UIConstants.Padding, backgroundBounds.Y + backgroundBounds.Height / 2f),
-                _ => new PointF(backgroundBounds.X + backgroundBounds.Width / 2f, backgroundBounds.Y + backgroundBounds.Height / 2f)
+                HorizontalAlignment.Left => new PointF(backgroundBounds.X + UIConstants.Padding, backgroundBounds.Y + UIConstants.Padding),
+                HorizontalAlignment.Right => new PointF(backgroundBounds.X + backgroundBounds.Width - UIConstants.Padding, backgroundBounds.Y + UIConstants.Padding),
+                _ => new PointF(backgroundBounds.X + backgroundBounds.Width / 2f, backgroundBounds.Y + UIConstants.Padding)
             };
 
             ctx.DrawTextStandard(textOptions, text, textColor);

From ad30ebba29b76f121b5a36fc1d4ca59ce79196db Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 14:41:39 -0700
Subject: [PATCH 30/78] fixing appearance...

---
 .../Implementation/ImageSaving.cs             | 92 ++++++++-----------
 MultiImageClient/UIConstants.cs               |  2 +-
 2 files changed, 41 insertions(+), 53 deletions(-)

diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 7b50db9..348f73a 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -21,9 +21,14 @@ namespace MultiImageClient
     public static class ImageSaving
     {
         private static readonly HttpClient httpClient = new HttpClient();
-        
+
         private const int LabelRightSideWidth = 200;
+        private const float LabelTotalLineSpacing = 1.3f;
+        private const int PlaceholderWidth = 300;
         private const int LabelFontSize = 12;
+        private const int LabelRightFontSize = 10;
+        private const int CombinedImageGeneratorFontSize = 40;
+        private const int CombinedImagePromptFontSize = 56;
         private const float LabelLineHeightMultiplier = 1.5f;
 
         public static void ConvertWebpTopng(string inputFp)
@@ -77,8 +82,6 @@ public static async Task<string> SaveImageAsync(
 
             Directory.CreateDirectory(baseFolder);
 
-            
-
             var usingPromptTextPart = FilenameGenerator.TruncatePrompt(result.PromptDetails.Prompt, 90);
             var generatorFilename = generator.GetFilenamePart(result.PromptDetails);
 
@@ -120,19 +123,14 @@ await TextFormatting.JustAddSimpleTextToBottomAsync(
                         rightParts.Add("MultiImageClient");
                         using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(result.GetImageBytes());
                         var label = MakeLabelGeneral(originalImage.Width, result.PromptDetails.Prompt, rightParts);
-                        
+
                         using var labelImage = SixLabors.ImageSharp.Image.Load<Rgba32>(label);
                         int newHeight = originalImage.Height + labelImage.Height;
                         using var combinedImage = new Image<Rgba32>(originalImage.Width, newHeight);
                         combinedImage.Mutate(ctx =>
                         {
-                            // Apply standard graphics options
                             ctx.ApplyStandardGraphicsOptions();
-
-                            // Draw original image at top
                             ctx.DrawImage(originalImage, new Point(0, 0), 1f);
-
-                            // Draw label at bottom
                             ctx.DrawImage(labelImage, new Point(0, originalImage.Height), 1f);
                         });
 
@@ -162,62 +160,56 @@ await TextFormatting.SaveImageAndAnnotate(
 
         public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rightParts)
         {
-            var rightSideWidth = LabelRightSideWidth;
-            var leftSideWidth = width - rightSideWidth;
-            var padding = UIConstants.Padding;
+            var leftSideWidth = width - LabelRightSideWidth;
             var fontSize = LabelFontSize;
             var font = FontUtils.CreateFont(fontSize, FontStyle.Regular);
+            var labelRightFont = FontUtils.CreateFont(LabelRightFontSize, FontStyle.Regular);
 
             // Measure left side text to determine height
-            var leftTextOptions = FontUtils.CreateTextOptions(font, 
-                HorizontalAlignment.Left, VerticalAlignment.Top);
-            leftTextOptions.WrappingLength = leftSideWidth - (padding * 2);
+            var leftTextOptions = FontUtils.CreateTextOptions(font,
+                HorizontalAlignment.Left, VerticalAlignment.Top, LabelTotalLineSpacing);
+            leftTextOptions.WrappingLength = leftSideWidth - (UIConstants.Padding * 2);
 
             int leftTextHeight = ImageUtils.MeasureTextHeight(prompt, font, UIConstants.LineSpacing, leftTextOptions.WrappingLength);
 
             // Calculate right side font size (scale down if needed to fit width)
-            var rightFont = font;
-            var rightFontSize = fontSize;
+            
 
             // Find the maximum width needed for right side text
-            foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
-            {
-                var testOptions = FontUtils.CreateTextOptions(rightFont, HorizontalAlignment.Right);
-                var textBounds = TextMeasurer.MeasureBounds(text, testOptions);
+            //foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
+            //{
+            //    var testOptions = FontUtils.CreateTextOptions(rightFont, HorizontalAlignment.Right);
+            //    var textBounds = TextMeasurer.MeasureBounds(text, testOptions);
 
-                // Auto-size font to fit width
-                rightFont = ImageUtils.AutoSizeFont(text, rightSideWidth, rightFontSize, UIConstants.MinFontSize, FontStyle.Regular);
-                rightFontSize = (int)rightFont.Size;
-            }
+                // rightFont = ImageUtils.AutoSizeFont(text, LabelRightSideWidth, rightFontSize, UIConstants.MinFontSize, FontStyle.Regular);
+                // rightFontSize = (int)rightFont.Size;
+            //}
 
             // Calculate right side height using proper text height measurement
-            var rightLineHeight = ImageUtils.MeasureTextHeight("Sample", rightFont, UIConstants.LineSpacing);
+            var rightLineHeight = ImageUtils.MeasureTextHeight("Sample", labelRightFont, UIConstants.LineSpacing);
             var rightTextHeight = rightParts.Where(s => !string.IsNullOrEmpty(s)).Count() * rightLineHeight;
 
             // Overall height is the maximum of left and right sides plus padding
             int contentHeight = Math.Max(leftTextHeight, rightTextHeight);
-            int totalHeight = contentHeight + (padding * 2);
+            int totalHeight = contentHeight + (UIConstants.Padding * 2);
 
-            // Create the image with standard settings
             using var image = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.Black);
 
             image.Mutate(ctx =>
             {
-
                 // Draw left side box border and text
-                var leftRect = new RectangleF(0, 0, leftSideWidth, totalHeight);
+                var leftRect = new RectangleF(0, 0, leftSideWidth + 5, totalHeight);
                 ctx.DrawTextWithBackground(leftRect, prompt, font, UIConstants.White, UIConstants.Black, HorizontalAlignment.Left);
 
                 // Draw right side box border
-                ctx.Draw(UIConstants.White, 1f, new RectangleF(leftSideWidth, 0, rightSideWidth, totalHeight));
+                //ctx.Draw(UIConstants.SuccessGreen, 1f, new RectangleF(leftSideWidth, 0, LabelRightSideWidth, totalHeight));
 
                 // Draw right side text (gold color, right-aligned)
-                var yOffset = padding;
+                var yOffset = UIConstants.Padding;
                 foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
                 {
-                    var rightTextOptions = FontUtils.CreateTextOptions(rightFont, 
-                        HorizontalAlignment.Right, VerticalAlignment.Top);
-                    rightTextOptions.Origin = new PointF(width - padding, yOffset);
+                    var rightTextOptions = FontUtils.CreateTextOptions(labelRightFont, HorizontalAlignment.Right, VerticalAlignment.Top, LabelTotalLineSpacing);
+                    rightTextOptions.Origin = new PointF(width - UIConstants.Padding, yOffset);
 
                     ctx.DrawTextStandard(rightTextOptions, text, UIConstants.Gold);
                     yOffset += rightLineHeight;
@@ -286,19 +278,14 @@ public static async Task<string> CombineImagesHorizontallyAsync(
             string prompt,
             Settings settings)
         {
-            const int placeholderWidth = 300;
-            const int generatorFontSize = 40;
-            const int promptFontSize = 32;
 
-            // Prepare fonts
-            var generatorFont = FontUtils.CreateFont(generatorFontSize, FontStyle.Bold);
-            var promptFont = FontUtils.CreateFont(promptFontSize, FontStyle.Regular);
 
-            // Load all images and calculate dimensions
-            var loadedImages = LoadResultImages(results, placeholderWidth);
+            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Regular);
+            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Bold);
+
+            var loadedImages = LoadResultImages(results, PlaceholderWidth);
             var dimensions = CalculateDimensions(loadedImages, prompt, generatorFont, promptFont);
 
-            // Create combined image with standard settings
             using var combinedImage = ImageUtils.CreateStandardImage(dimensions.TotalWidth, dimensions.TotalHeight, UIConstants.White);
 
             combinedImage.Mutate(ctx =>
@@ -371,9 +358,11 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                 }
             }
 
-            return loadedImages.OrderBy(el=>el.GeneratorName);
+            return loadedImages.OrderBy(el => el.GeneratorName);
         }
 
+        /// when an image fails to generate we add in a fixed-width holder in any combined image, to show what happened and be able to
+        /// at least see the filtering rules etc.
         private static LoadedImage CreatePlaceholder(string generatorName, bool success, int placeholderWidth)
         {
             return new LoadedImage
@@ -399,11 +388,11 @@ private static ImageDimensions CalculateDimensions(
 
             // Calculate text heights
             var subtitleHeight = MeasureMaxHeight(loadedImages.Select(img => GetStatusText(img)), subtitleFont);
-            
+
             // Calculate prompt height with wrapping support
             var wrappingWidth = totalWidth - (UIConstants.Padding * 4);
             var promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
-            
+
             // Add extra padding for better spacing around the prompt
             var extraPadding = UIConstants.Padding * 2;
 
@@ -459,8 +448,8 @@ private static void DrawImagesAndLabels(
                 var statusText = GetStatusText(loadedImage);
                 var statusColor = loadedImage.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
 
-                var subtitleOptions = FontUtils.CreateTextOptions(subtitleFont, 
-                    HorizontalAlignment.Center, VerticalAlignment.Top);
+                var subtitleOptions = FontUtils.CreateTextOptions(subtitleFont,
+                    HorizontalAlignment.Center, VerticalAlignment.Top, LabelTotalLineSpacing);
                 subtitleOptions.Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight + UIConstants.Padding);
 
                 ctx.DrawTextStandard(subtitleOptions, statusText, statusColor);
@@ -477,13 +466,12 @@ private static void DrawPrompt(
         {
             var promptAreaTop = dimensions.MaxImageHeight + dimensions.SubtitleHeight + UIConstants.Padding;
             var promptAreaHeight = dimensions.PromptHeight;
-            
+
             // Add extra padding above the prompt area for better spacing
             var extraPadding = UIConstants.Padding * 2;
             var promptY = promptAreaTop + extraPadding + (promptAreaHeight - extraPadding) / 2f;
 
-            var promptOptions = FontUtils.CreateTextOptions(promptFont, 
-                HorizontalAlignment.Left, VerticalAlignment.Center);
+            var promptOptions = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Center, LabelTotalLineSpacing);
             promptOptions.Origin = new PointF(UIConstants.Padding * 2, promptY);
             promptOptions.WrappingLength = dimensions.TotalWidth - (UIConstants.Padding * 4);
 
diff --git a/MultiImageClient/UIConstants.cs b/MultiImageClient/UIConstants.cs
index 98382eb..edeb755 100644
--- a/MultiImageClient/UIConstants.cs
+++ b/MultiImageClient/UIConstants.cs
@@ -8,7 +8,7 @@ public static class UIConstants
         public const int Padding = 10;
         public const float LineSpacing = 1.15f;
         public const int MinFontSize = 8;
-        public const int TextDpi = 300;
+        public const int TextDpi = 150;
 
         // Colors
         public static readonly Color White = Color.White;

From 4dcda8ef04044ddb2ceef4207e5a40e2e876d34d Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 14:46:26 -0700
Subject: [PATCH 31/78] fix combiner

---
 MultiImageClient/Implementation/ImageSaving.cs | 4 ++--
 MultiImageClient/Utils/ImageUtils.cs           | 1 -
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 348f73a..d72307f 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -27,8 +27,8 @@ public static class ImageSaving
         private const int PlaceholderWidth = 300;
         private const int LabelFontSize = 12;
         private const int LabelRightFontSize = 10;
-        private const int CombinedImageGeneratorFontSize = 40;
-        private const int CombinedImagePromptFontSize = 56;
+        private const int CombinedImageGeneratorFontSize = 24;
+        private const int CombinedImagePromptFontSize = 32;
         private const float LabelLineHeightMultiplier = 1.5f;
 
         public static void ConvertWebpTopng(string inputFp)
diff --git a/MultiImageClient/Utils/ImageUtils.cs b/MultiImageClient/Utils/ImageUtils.cs
index 67253f8..e90098b 100644
--- a/MultiImageClient/Utils/ImageUtils.cs
+++ b/MultiImageClient/Utils/ImageUtils.cs
@@ -111,7 +111,6 @@ public static void DrawTextWithBackground(this IImageProcessingContext ctx, Rect
         {
             // Draw background
             ctx.Fill(backgroundColor, backgroundBounds);
-            ctx.Draw(UIConstants.White, 1f, backgroundBounds);
 
             // Draw text with proper wrapping and top alignment
             var textOptions = FontUtils.CreateTextOptions(font, alignment, VerticalAlignment.Top);

From e4a1f098ff6187b385827faab12fa502d2234309 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 15:27:01 -0700
Subject: [PATCH 32/78]  fixing error display

---
 .../Implementation/ImageSaving.cs             | 92 ++++++-------------
 MultiImageClient/Program.cs                   |  8 ++
 MultiImageClient/Services/Dalle3Generator.cs  | 11 ++-
 .../Services/IdeogramGenerator.cs             | 16 +++-
 MultiImageClient/Utils/ImageUtils.cs          | 22 +++--
 5 files changed, 76 insertions(+), 73 deletions(-)

diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index d72307f..39459b9 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -66,11 +66,7 @@ public static async Task<byte[]> DownloadImageAsync(TaskProcessResult result)
             }
         }
 
-        public static async Task<string> SaveImageAsync(
-            TaskProcessResult result,
-            Settings settings,
-            SaveType saveType,
-            IImageGenerator generator)
+        public static async Task<string> SaveImageAsync(TaskProcessResult result, Settings settings, SaveType saveType, IImageGenerator generator)
         {
             string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
             string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder);
@@ -170,10 +166,10 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
                 HorizontalAlignment.Left, VerticalAlignment.Top, LabelTotalLineSpacing);
             leftTextOptions.WrappingLength = leftSideWidth - (UIConstants.Padding * 2);
 
-            int leftTextHeight = ImageUtils.MeasureTextHeight(prompt, font, UIConstants.LineSpacing, leftTextOptions.WrappingLength);
+            int leftTextHeight = ImageUtils.MeasureTextHeight(prompt, font, LabelTotalLineSpacing, leftTextOptions.WrappingLength);
 
             // Calculate right side font size (scale down if needed to fit width)
-            
+
 
             // Find the maximum width needed for right side text
             //foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
@@ -181,8 +177,8 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
             //    var testOptions = FontUtils.CreateTextOptions(rightFont, HorizontalAlignment.Right);
             //    var textBounds = TextMeasurer.MeasureBounds(text, testOptions);
 
-                // rightFont = ImageUtils.AutoSizeFont(text, LabelRightSideWidth, rightFontSize, UIConstants.MinFontSize, FontStyle.Regular);
-                // rightFontSize = (int)rightFont.Size;
+            // rightFont = ImageUtils.AutoSizeFont(text, LabelRightSideWidth, rightFontSize, UIConstants.MinFontSize, FontStyle.Regular);
+            // rightFontSize = (int)rightFont.Size;
             //}
 
             // Calculate right side height using proper text height measurement
@@ -197,14 +193,10 @@ public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rig
 
             image.Mutate(ctx =>
             {
-                // Draw left side box border and text
                 var leftRect = new RectangleF(0, 0, leftSideWidth + 5, totalHeight);
-                ctx.DrawTextWithBackground(leftRect, prompt, font, UIConstants.White, UIConstants.Black, HorizontalAlignment.Left);
-
-                // Draw right side box border
-                //ctx.Draw(UIConstants.SuccessGreen, 1f, new RectangleF(leftSideWidth, 0, LabelRightSideWidth, totalHeight));
+                ctx.DrawTextWithBackground(leftRect, prompt, font, UIConstants.White, UIConstants.Black, HorizontalAlignment.Left, LabelTotalLineSpacing);
 
-                // Draw right side text (gold color, right-aligned)
+                // Draw right side text
                 var yOffset = UIConstants.Padding;
                 foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
                 {
@@ -232,11 +224,7 @@ private static IEnumerable<PromptHistoryStep> GetUsingSteps(SaveType saveType, P
             };
         }
 
-        private static Dictionary<string, string> GetAnnotationDefaultData(
-            TaskProcessResult result,
-            string fullPath,
-            SaveType saveType,
-            IImageGenerator generator)
+        private static Dictionary<string, string> GetAnnotationDefaultData(TaskProcessResult result, string fullPath, SaveType saveType, IImageGenerator generator)
         {
             var imageInfo = new Dictionary<string, string>();
             var promptDetails = result.PromptDetails;
@@ -273,15 +261,10 @@ private static Dictionary<string, string> GetAnnotationDefaultData(
         }
 
         // Image combining functionality (previously in ImageCombiner.cs)
-        public static async Task<string> CombineImagesHorizontallyAsync(
-            IEnumerable<TaskProcessResult> results,
-            string prompt,
-            Settings settings)
+        public static async Task<string> CombineImagesHorizontallyAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
         {
-
-
-            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Regular);
-            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Bold);
+            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
+            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
 
             var loadedImages = LoadResultImages(results, PlaceholderWidth);
             var dimensions = CalculateDimensions(loadedImages, prompt, generatorFont, promptFont);
@@ -290,17 +273,12 @@ public static async Task<string> CombineImagesHorizontallyAsync(
 
             combinedImage.Mutate(ctx =>
             {
-                // Draw images and subtitles
                 DrawImagesAndLabels(ctx, loadedImages, dimensions.MaxImageHeight, generatorFont);
-
-                // Draw prompt at bottom
                 DrawPrompt(ctx, prompt, promptFont, dimensions);
             });
 
-            // Save the combined image
             var outputPath = await SaveCombinedImage(combinedImage, prompt, settings);
 
-            // Dispose loaded images
             foreach (var loadedImage in loadedImages)
             {
                 loadedImage.Image?.Dispose();
@@ -337,14 +315,14 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                         {
                             // Success but no bytes somehow
                             Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
-                            loadedImages.Add(CreatePlaceholder(result.ImageGenerator.ToString(), false, placeholderWidth));
+                            loadedImages.Add(CreateFailedGenerationPlaceholder(result.ImageGenerator.ToString(), false, result.ErrorMessage, placeholderWidth));
                         }
                     }
                     catch (Exception ex)
                     {
                         // GetImageBytes() might throw if bytes weren't set, or image loading failed
                         Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
-                        loadedImages.Add(CreatePlaceholder(result.ImageGenerator.ToString(), false, placeholderWidth));
+                        loadedImages.Add(CreateFailedGenerationPlaceholder(result.ImageGenerator.ToString(), false, result.ErrorMessage, placeholderWidth));
                     }
                 }
                 else
@@ -354,7 +332,7 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                         ? result.ErrorMessage
                         : result.GenericImageErrorType.ToString();
                     Logger.Log($"Result failed for {result.ImageGenerator}: {errorMsg}");
-                    loadedImages.Add(CreatePlaceholder(result.ImageGenerator.ToString(), false, placeholderWidth));
+                    loadedImages.Add(CreateFailedGenerationPlaceholder(result.ImageGenerator.ToString(), false, result.ErrorMessage, placeholderWidth));
                 }
             }
 
@@ -363,11 +341,12 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
 
         /// when an image fails to generate we add in a fixed-width holder in any combined image, to show what happened and be able to
         /// at least see the filtering rules etc.
-        private static LoadedImage CreatePlaceholder(string generatorName, bool success, int placeholderWidth)
+        private static LoadedImage CreateFailedGenerationPlaceholder(string generatorName, bool success, string reason, int placeholderWidth)
         {
             return new LoadedImage
             {
                 Success = success,
+                FailureReason = reason,
                 Image = null,
                 GeneratorName = generatorName,
                 Width = placeholderWidth,
@@ -375,16 +354,12 @@ private static LoadedImage CreatePlaceholder(string generatorName, bool success,
             };
         }
 
-        private static ImageDimensions CalculateDimensions(
-            IEnumerable<LoadedImage> loadedImages,
-            string prompt,
-            Font subtitleFont,
-            Font promptFont)
+        private static ImageDimensions CalculateDimensions(IEnumerable<LoadedImage> loadedImages, string prompt, Font subtitleFont, Font promptFont)
         {
             int totalWidth = loadedImages.Sum(img => img.Width);
             int maxImageHeight = loadedImages.Where(img => img.Success).Any()
                 ? loadedImages.Where(img => img.Success).Max(img => img.Height)
-                : 300; // Default placeholder size
+                : 300;
 
             // Calculate text heights
             var subtitleHeight = MeasureMaxHeight(loadedImages.Select(img => GetStatusText(img)), subtitleFont);
@@ -393,8 +368,8 @@ private static ImageDimensions CalculateDimensions(
             var wrappingWidth = totalWidth - (UIConstants.Padding * 4);
             var promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
 
-            // Add extra padding for better spacing around the prompt
-            var extraPadding = UIConstants.Padding * 2;
+            // pad the prompt with extra height.
+            var extraPadding = UIConstants.Padding * 3;
 
             return new ImageDimensions
             {
@@ -402,7 +377,7 @@ private static ImageDimensions CalculateDimensions(
                 MaxImageHeight = maxImageHeight,
                 SubtitleHeight = subtitleHeight + UIConstants.Padding,
                 PromptHeight = promptHeight + extraPadding + UIConstants.Padding,
-                TotalHeight = maxImageHeight + subtitleHeight + promptHeight + extraPadding + (UIConstants.Padding * 3)
+                TotalHeight = maxImageHeight + subtitleHeight + promptHeight + extraPadding
             };
         }
 
@@ -422,11 +397,7 @@ private static int MeasureMaxHeight(IEnumerable<string> texts, Font font)
             return maxHeight;
         }
 
-        private static void DrawImagesAndLabels(
-            IImageProcessingContext ctx,
-            IEnumerable<LoadedImage> loadedImages,
-            int maxImageHeight,
-            Font subtitleFont)
+        private static void DrawImagesAndLabels(IImageProcessingContext ctx, IEnumerable<LoadedImage> loadedImages, int maxImageHeight, Font subtitleFont)
         {
             int currentX = 0;
 
@@ -441,7 +412,7 @@ private static void DrawImagesAndLabels(
                 {
                     // Draw placeholder rectangle with error text
                     var placeholderRect = new RectangleF(currentX, 0, loadedImage.Width, maxImageHeight);
-                    ctx.DrawPlaceholder(placeholderRect, "Failed", subtitleFont);
+                    ctx.DrawPlaceholder(placeholderRect, loadedImage.FailureReason, subtitleFont);
                 }
 
                 // Draw subtitle
@@ -458,18 +429,14 @@ private static void DrawImagesAndLabels(
             }
         }
 
-        private static void DrawPrompt(
-            IImageProcessingContext ctx,
-            string prompt,
-            Font promptFont,
-            ImageDimensions dimensions)
+        private static void DrawPrompt(IImageProcessingContext ctx, string prompt, Font promptFont, ImageDimensions dimensions)
         {
             var promptAreaTop = dimensions.MaxImageHeight + dimensions.SubtitleHeight + UIConstants.Padding;
             var promptAreaHeight = dimensions.PromptHeight;
 
             // Add extra padding above the prompt area for better spacing
-            var extraPadding = UIConstants.Padding * 2;
-            var promptY = promptAreaTop + extraPadding + (promptAreaHeight - extraPadding) / 2f;
+            var extraPadding = UIConstants.Padding * 3;
+            var promptY = promptAreaTop + extraPadding;
 
             var promptOptions = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Center, LabelTotalLineSpacing);
             promptOptions.Origin = new PointF(UIConstants.Padding * 2, promptY);
@@ -478,10 +445,7 @@ private static void DrawPrompt(
             ctx.DrawTextStandard(promptOptions, prompt, UIConstants.Black);
         }
 
-        private static async Task<string> SaveCombinedImage(
-            Image<Rgba32> image,
-            string prompt,
-            Settings settings)
+        private static async Task<string> SaveCombinedImage(Image<Rgba32> image, string prompt, Settings settings)
         {
             string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
             string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
@@ -511,10 +475,10 @@ private static string GetStatusText(LoadedImage image)
             return image.GeneratorName;
         }
 
-        // Helper classes for image combining
         private class LoadedImage
         {
             public bool Success { get; set; }
+            public string FailureReason { get; set; } = "";
             public Image<Rgba32> Image { get; set; }
             public string GeneratorName { get; set; }
             public int Width { get; set; }
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index f52292d..a667383 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -79,6 +79,12 @@ static async Task Main(string[] args)
                     //this is a bit silly since the original initial prompt will still be in history for no reason.
                     promptString.ReplacePrompt(usingVal, "explanation", TransformationType.InitialPrompt);
                 }
+
+                if (promptString.Prompt.Length == 0)
+                {
+                    continue;
+                }
+
                 foreach (var step in steps)
                 {
                     var res = await step.DoTransformation(promptString);
@@ -97,9 +103,11 @@ static async Task Main(string[] args)
                     var generatorTasks = myGenerators.Select(async generator =>
                     {
                         PromptDetails theCopy = null;
+                        
                         try
                         {
                             theCopy = promptString.Copy();
+                            
                             var result = await generator.ProcessPromptAsync(theCopy);
                             await imageManager.ProcessAndSaveAsync(result, generator);
                             Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/Services/Dalle3Generator.cs
index b6365dd..a7fb2dc 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -3,7 +3,7 @@
 
 using System;
 using System.Collections.Generic;
-
+using System.Linq;
 using System.Threading;
 using System.Threading.Tasks;
 
@@ -100,7 +100,14 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
             }
             catch (Exception ex)
             {
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
+                var ms = ex.Message.Split("\r\n\r\n");
+                var errorMessage = "Error.";
+                if (ms.Length > 1)
+                {
+                    errorMessage = ms.Last();
+                }
+                    
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = errorMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
             }
             finally
             {
diff --git a/MultiImageClient/Services/IdeogramGenerator.cs b/MultiImageClient/Services/IdeogramGenerator.cs
index a44a21c..e043c29 100644
--- a/MultiImageClient/Services/IdeogramGenerator.cs
+++ b/MultiImageClient/Services/IdeogramGenerator.cs
@@ -1,10 +1,12 @@
 using IdeogramAPIClient;
+using System.Text.RegularExpressions;
 
 using System;
 using System.Collections.Generic;
 using System.Drawing;
 using System.Drawing.Drawing2D;
 using System.Net.Http;
+using System.Text.RegularExpressions;
 using System.Threading;
 using System.Threading.Tasks;
 
@@ -181,7 +183,19 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
             catch (Exception ex)
             {
                 Console.WriteLine(ex);
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
+
+                Match m = Regex.Match(ex.Message, "\"error\"\\s*:\\s*\"([^\"]+)\"");
+                string errorMessage;
+                if (m.Success)
+                {
+                    errorMessage = m.Groups[1].Value;
+                    Console.WriteLine(errorMessage);
+                }
+                else
+                {
+                    errorMessage = ex.Message;
+                }
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = errorMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
             }
             finally
             {
diff --git a/MultiImageClient/Utils/ImageUtils.cs b/MultiImageClient/Utils/ImageUtils.cs
index e90098b..7b672f8 100644
--- a/MultiImageClient/Utils/ImageUtils.cs
+++ b/MultiImageClient/Utils/ImageUtils.cs
@@ -79,10 +79,20 @@ public static void DrawPlaceholder(this IImageProcessingContext ctx, RectangleF
             ctx.Fill(UIConstants.PlaceholderFill, bounds);
             ctx.Draw(UIConstants.PlaceholderBorder, 2f, bounds);
 
-            // Draw error text in center
-            var errorTextOptions = FontUtils.CreateTextOptions(font, 
-                HorizontalAlignment.Center, VerticalAlignment.Center);
-            errorTextOptions.Origin = new PointF(bounds.X + bounds.Width / 2f, bounds.Y + bounds.Height / 2f);
+            // Auto-size font to fit the available space (start with smaller size for error text)
+            var maxFontSize = Math.Min((int)font.Size, 14); // Cap at 14pt for error text
+            var availableWidth = bounds.Width - (UIConstants.Padding * 2);
+            var autoSizedFont = AutoSizeFont(errorText, (int)availableWidth, maxFontSize, UIConstants.MinFontSize);
+
+            // Draw error text with proper wrapping and top alignment
+            var errorTextOptions = FontUtils.CreateTextOptions(autoSizedFont, 
+                HorizontalAlignment.Center, VerticalAlignment.Top);
+            
+            // Set wrapping length to prevent text overflow
+            errorTextOptions.WrappingLength = availableWidth;
+            
+            // Position text at top with padding
+            errorTextOptions.Origin = new PointF(bounds.X + bounds.Width / 2f, bounds.Y + UIConstants.Padding);
             
             ctx.DrawTextStandard(errorTextOptions, errorText, UIConstants.ErrorRed);
         }
@@ -107,13 +117,13 @@ public static Font AutoSizeFont(string text, int maxWidth, int startingSize, int
 
         public static void DrawTextWithBackground(this IImageProcessingContext ctx, RectangleF backgroundBounds, 
             string text, Font font, Color textColor, Color backgroundColor, 
-            HorizontalAlignment alignment = HorizontalAlignment.Center)
+            HorizontalAlignment alignment = HorizontalAlignment.Center, float lineSpacing = 1.15f)
         {
             // Draw background
             ctx.Fill(backgroundColor, backgroundBounds);
 
             // Draw text with proper wrapping and top alignment
-            var textOptions = FontUtils.CreateTextOptions(font, alignment, VerticalAlignment.Top);
+            var textOptions = FontUtils.CreateTextOptions(font, alignment, VerticalAlignment.Top, lineSpacing);
             
             // Set wrapping length to prevent text overflow
             var availableWidth = backgroundBounds.Width - (UIConstants.Padding * 2);

From a561d9694f5115ea4880452cbd07c659f77443fb Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 15:32:44 -0700
Subject: [PATCH 33/78] config

---
 .editorconfig                                | 13 +++++++++++++
 MultiImageClient/Program.cs                  |  6 +++---
 MultiImageClient/Services/Dalle3Generator.cs |  2 --
 3 files changed, 16 insertions(+), 5 deletions(-)

diff --git a/.editorconfig b/.editorconfig
index ecf37cb..0a412fb 100644
--- a/.editorconfig
+++ b/.editorconfig
@@ -8,3 +8,16 @@ dotnet_diagnostic.IDE0090.severity = none
 
 # CA1416: Validate platform compatibility
 dotnet_diagnostic.CA1416.severity = none
+
+# Empty line formatting rules
+# Remove leading empty lines after opening braces
+csharp_new_line_before_open_brace = all
+csharp_new_line_before_else = true
+csharp_new_line_before_catch = true
+csharp_new_line_before_finally = true
+csharp_new_line_before_members_in_object_initializers = true
+csharp_new_line_before_members_in_anonymous_types = true
+
+# Limit consecutive empty lines
+dotnet_style_allow_multiple_blank_lines_experimental = false
+dotnet_style_allow_statement_immediately_after_block_experimental = false
\ No newline at end of file
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index a667383..a255987 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -38,9 +38,9 @@ static async Task Main(string[] args)
             var recraft5 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.infographical, null, null, stats, "");
             var recraft6 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, stats, "");
             //var recraft7 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
-            //var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, stats, "");
+            var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, stats, "");
             var ideogram2 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, stats, "");
-            var ideogram3 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A, stats, "");
+            var ideogram3 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A, stats, "");
             var ideogram4 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, stats, "");
             var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, settings.BFLApiKey, concurrency, "3:2", false, 1024, 1024, stats, "");
             var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, "1:1", false, 1024, 1024, stats, "");
@@ -50,7 +50,7 @@ static async Task Main(string[] args)
 
             //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-            var myGenerators = new List<IImageGenerator>() { ideogram3,  ideogram4, dalle3, recraft1}; 
+            var myGenerators = new List<IImageGenerator>() { ideogram1,  ideogram4, dalle3, recraft3, bfl1, bfl2, bfl3}; 
             var imageManager = new ImageManager(settings, stats);
 
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/Services/Dalle3Generator.cs
index a7fb2dc..21db2b6 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -113,8 +113,6 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
             {
                 _dalle3Semaphore.Release();
             }
-
         }
-
     }
 }
\ No newline at end of file

From 5a731dfbd69aad9e1e1eb0aec3a716126cd9506d Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 15:35:45 -0700
Subject: [PATCH 34/78] add a vertical max to the image input to combined
 images.

---
 MultiImageClient/Implementation/ImageSaving.cs | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 39459b9..b840588 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -302,6 +302,18 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                         if (imageBytes != null && imageBytes.Length > 0)
                         {
                             var image = Image.Load<Rgba32>(imageBytes);
+                            
+                            // Resize if height > 1300px, keeping proportions and max height of 1024px
+                            if (image.Height > 1300)
+                            {
+                                var aspectRatio = (float)image.Width / image.Height;
+                                var newHeight = 1024;
+                                var newWidth = (int)(newHeight * aspectRatio);
+                                
+                                Logger.Log($"Resizing image from {image.Width}x{image.Height} to {newWidth}x{newHeight} for combining");
+                                image.Mutate(x => x.Resize(newWidth, newHeight));
+                            }
+                            
                             loadedImages.Add(new LoadedImage
                             {
                                 Success = true,

From 6ae15ea113b900856ba97cbf155ed26ae53d627f Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 15:56:30 -0700
Subject: [PATCH 35/78] fix layout and have redone CombineImages

---
 .../Implementation/ImageSaving.cs             | 82 +++++++++++++++----
 MultiImageClient/Utils/ImageUtils.cs          |  2 +-
 2 files changed, 69 insertions(+), 15 deletions(-)

diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index b840588..6e57551 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -260,29 +260,83 @@ private static Dictionary<string, string> GetAnnotationDefaultData(TaskProcessRe
             return imageInfo;
         }
 
-        // Image combining functionality (previously in ImageCombiner.cs)
+
         public static async Task<string> CombineImagesHorizontallyAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
         {
+
+            // --- fonts ------------------------------------------------------
             var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
             var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
 
-            var loadedImages = LoadResultImages(results, PlaceholderWidth);
-            var dimensions = CalculateDimensions(loadedImages, prompt, generatorFont, promptFont);
+            // --- load images (incl. placeholders for failures) -------------
+            var loadedImages = LoadResultImages(results, PlaceholderWidth).ToList();
 
-            using var combinedImage = ImageUtils.CreateStandardImage(dimensions.TotalWidth, dimensions.TotalHeight, UIConstants.White);
+            // --- measure ----------------------------------------------------
+            int totalWidth = loadedImages.Sum(img => img.Width);
+            int maxImageHeight = loadedImages.Where(i => i.Success)
+                                             .Select(i => i.Height)
+                                             .DefaultIfEmpty(PlaceholderWidth)
+                                             .Max();
+
+            // height of status (generator) labels
+            int subtitleHeight = loadedImages
+                .Select(li => ImageUtils.MeasureTextHeight(
+                                  GetStatusText(li),
+                                  generatorFont,
+                                  UIConstants.LineSpacing))
+                .DefaultIfEmpty(0)
+                .Max();
+
+            // height of the prompt block (with wrapping)
+            int wrappingWidth = totalWidth - (UIConstants.Padding * 4);
+            int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth) + (UIConstants.Padding * 3);
+            int trailingHangdownHeight = UIConstants.Padding * 2;
+
+            int totalHeight = maxImageHeight + subtitleHeight + promptHeight + trailingHangdownHeight;
+
+            // --- render -----------------------------------------------------
+            using var combinedImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
 
             combinedImage.Mutate(ctx =>
             {
-                DrawImagesAndLabels(ctx, loadedImages, dimensions.MaxImageHeight, generatorFont);
-                DrawPrompt(ctx, prompt, promptFont, dimensions);
+                int currentX = 0;
+                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
+
+                foreach (var li in loadedImages)
+                {
+                    if (li.Success && li.Image != null)
+                    {
+                        ctx.DrawImage(li.Image, new Point(currentX, 0), 1f);
+                    }
+                    else
+                    {
+                        var rect = new RectangleF(currentX, 0, li.Width, maxImageHeight);
+                        ctx.DrawErrorPlaceholder(rect, li.FailureReason, generatorFont);
+                    }
+
+                    // draw generator label
+
+                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
+
+                    var labelColor = li.Success ? UIConstants.SuccessGreen
+                                                : UIConstants.ErrorRed;
+                    ctx.DrawTextStandard(labelOpts, GetStatusText(li), labelColor);
+
+                    currentX += li.Width;
+                }
+
+                // draw prompt
+                var promptOpts = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
+                promptOpts.Origin = new PointF(UIConstants.Padding * 2, maxImageHeight + subtitleHeight + (UIConstants.Padding * 3));
+                promptOpts.WrappingLength = wrappingWidth;
+
+                ctx.DrawTextStandard(promptOpts, prompt, UIConstants.Black);
             });
 
+            // --- save & clean up -------------------------------------------
             var outputPath = await SaveCombinedImage(combinedImage, prompt, settings);
 
-            foreach (var loadedImage in loadedImages)
-            {
-                loadedImage.Image?.Dispose();
-            }
+            foreach (var li in loadedImages) { li.Image?.Dispose(); }
 
             return outputPath;
         }
@@ -302,18 +356,18 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                         if (imageBytes != null && imageBytes.Length > 0)
                         {
                             var image = Image.Load<Rgba32>(imageBytes);
-                            
+
                             // Resize if height > 1300px, keeping proportions and max height of 1024px
                             if (image.Height > 1300)
                             {
                                 var aspectRatio = (float)image.Width / image.Height;
                                 var newHeight = 1024;
                                 var newWidth = (int)(newHeight * aspectRatio);
-                                
+
                                 Logger.Log($"Resizing image from {image.Width}x{image.Height} to {newWidth}x{newHeight} for combining");
                                 image.Mutate(x => x.Resize(newWidth, newHeight));
                             }
-                            
+
                             loadedImages.Add(new LoadedImage
                             {
                                 Success = true,
@@ -424,7 +478,7 @@ private static void DrawImagesAndLabels(IImageProcessingContext ctx, IEnumerable
                 {
                     // Draw placeholder rectangle with error text
                     var placeholderRect = new RectangleF(currentX, 0, loadedImage.Width, maxImageHeight);
-                    ctx.DrawPlaceholder(placeholderRect, loadedImage.FailureReason, subtitleFont);
+                    ctx.DrawErrorPlaceholder(placeholderRect, loadedImage.FailureReason, subtitleFont);
                 }
 
                 // Draw subtitle
diff --git a/MultiImageClient/Utils/ImageUtils.cs b/MultiImageClient/Utils/ImageUtils.cs
index 7b672f8..4bf6c3e 100644
--- a/MultiImageClient/Utils/ImageUtils.cs
+++ b/MultiImageClient/Utils/ImageUtils.cs
@@ -73,7 +73,7 @@ public static int MeasureMaxTextHeight(IEnumerable<string> texts, Font font, flo
             return maxHeight;
         }
 
-        public static void DrawPlaceholder(this IImageProcessingContext ctx, RectangleF bounds, string errorText, Font font)
+        public static void DrawErrorPlaceholder(this IImageProcessingContext ctx, RectangleF bounds, string errorText, Font font)
         {
             // Draw placeholder background and border
             ctx.Fill(UIConstants.PlaceholderFill, bounds);

From d0b23db83453999883d3e38f489c5c17d31a8046 Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Thu, 18 Sep 2025 15:56:44 -0700
Subject: [PATCH 36/78] combinedImage

---
 .cursorrules                         |  60 +++---
 MultiImageClient/UIConstants.cs      |  44 ++---
 MultiImageClient/Utils/FontUtils.cs  | 108 +++++-----
 MultiImageClient/Utils/ImageUtils.cs | 284 +++++++++++++--------------
 4 files changed, 248 insertions(+), 248 deletions(-)

diff --git a/.cursorrules b/.cursorrules
index bf04eab..a73bb6f 100644
--- a/.cursorrules
+++ b/.cursorrules
@@ -1,30 +1,30 @@
-# Code Style and Organization Preferences
-
-## Communication Style
-- NEVER use congratulatory or praising language like "you were absolutely right", "great call", etc.
-- Keep responses direct and focused on the technical work
-- Avoid unnecessary enthusiasm or validation language
-
-## XML Documentation
-- NEVER add XML summary blocks (`/// <summary>`) to any code unless you have a useful, meaningful, non-obvious comment to add.  Never add the dumb one-liner versions of them which just restate the obvious
-- But, you may add them to explain what an entire class does, and useful high-level general design information. This kind of summary is great and useful.
-- Use regular comments (`//`) for explanations when needed
-
-## Namespace Organization  
-- Use only ONE level of namespace (e.g., `MultiImageClient`)
-- NEVER use nested namespaces (e.g., `MultiImageClient.Utils`)
-- Managing naming conflicts is the responsibility of the code, not namespace hierarchy
-
-## Constants and Configuration
-- Constants used in only ONE file should stay in that file (as private const)
-- Only move constants to a shared constants file if they're used in MULTIPLE files
-- Before centralizing constants, first consider if the files should be combined instead
-- Use normal naming conventions for constants (e.g., `Padding`, `FontSize`) 
-- AVOID ALL_CAPS naming style for constants
-
-## Code Organization Philosophy
-- Prefer keeping related functionality together rather than over-abstracting
-- Constants that appear in multiple places might indicate files should be merged
-- Only create shared utilities when there's genuine reuse across different functional areas
-- Branding text and similar elements that appear throughout the app are good candidates for centralization
-
+# Code Style and Organization Preferences
+
+## Communication Style
+- NEVER use congratulatory or praising language like "you were absolutely right", "great call", etc.
+- Keep responses direct and focused on the technical work
+- Avoid unnecessary enthusiasm or validation language
+
+## XML Documentation
+- NEVER add XML summary blocks (`/// <summary>`) to any code unless you have a useful, meaningful, non-obvious comment to add.  Never add the dumb one-liner versions of them which just restate the obvious
+- But, you may add them to explain what an entire class does, and useful high-level general design information. This kind of summary is great and useful.
+- Use regular comments (`//`) for explanations when needed
+
+## Namespace Organization  
+- Use only ONE level of namespace (e.g., `MultiImageClient`)
+- NEVER use nested namespaces (e.g., `MultiImageClient.Utils`)
+- Managing naming conflicts is the responsibility of the code, not namespace hierarchy
+
+## Constants and Configuration
+- Constants used in only ONE file should stay in that file (as private const)
+- Only move constants to a shared constants file if they're used in MULTIPLE files
+- Before centralizing constants, first consider if the files should be combined instead
+- Use normal naming conventions for constants (e.g., `Padding`, `FontSize`) 
+- AVOID ALL_CAPS naming style for constants
+
+## Code Organization Philosophy
+- Prefer keeping related functionality together rather than over-abstracting
+- Constants that appear in multiple places might indicate files should be merged
+- Only create shared utilities when there's genuine reuse across different functional areas
+- Branding text and similar elements that appear throughout the app are good candidates for centralization
+
diff --git a/MultiImageClient/UIConstants.cs b/MultiImageClient/UIConstants.cs
index edeb755..4be49c1 100644
--- a/MultiImageClient/UIConstants.cs
+++ b/MultiImageClient/UIConstants.cs
@@ -1,22 +1,22 @@
-using SixLabors.ImageSharp;
-
-namespace MultiImageClient
-{
-    public static class UIConstants
-    {
-        // Shared across multiple files
-        public const int Padding = 10;
-        public const float LineSpacing = 1.15f;
-        public const int MinFontSize = 8;
-        public const int TextDpi = 150;
-
-        // Colors
-        public static readonly Color White = Color.White;
-        public static readonly Color Black = Color.Black;
-        public static readonly Color SuccessGreen = Color.FromRgb(0, 120, 0);
-        public static readonly Color ErrorRed = Color.FromRgb(180, 0, 0);
-        public static readonly Color PlaceholderFill = Color.FromRgb(240, 240, 240);
-        public static readonly Color PlaceholderBorder = Color.FromRgb(200, 200, 200);
-        public static readonly Color Gold = Color.FromRgb(255, 215, 0);
-    }
-}
+using SixLabors.ImageSharp;
+
+namespace MultiImageClient
+{
+    public static class UIConstants
+    {
+        // Shared across multiple files
+        public const int Padding = 10;
+        public const float LineSpacing = 1.15f;
+        public const int MinFontSize = 8;
+        public const int TextDpi = 150;
+
+        // Colors
+        public static readonly Color White = Color.White;
+        public static readonly Color Black = Color.Black;
+        public static readonly Color SuccessGreen = Color.FromRgb(0, 120, 0);
+        public static readonly Color ErrorRed = Color.FromRgb(180, 0, 0);
+        public static readonly Color PlaceholderFill = Color.FromRgb(240, 240, 240);
+        public static readonly Color PlaceholderBorder = Color.FromRgb(200, 200, 200);
+        public static readonly Color Gold = Color.FromRgb(255, 215, 0);
+    }
+}
diff --git a/MultiImageClient/Utils/FontUtils.cs b/MultiImageClient/Utils/FontUtils.cs
index be3d64e..7497fb4 100644
--- a/MultiImageClient/Utils/FontUtils.cs
+++ b/MultiImageClient/Utils/FontUtils.cs
@@ -1,55 +1,55 @@
-using SixLabors.Fonts;
-using SixLabors.ImageSharp.Drawing.Processing;
-using System.Linq;
-
-namespace MultiImageClient
-{
-    public static class FontUtils
-    {
-        private static FontFamily? _cachedSystemFont;
-
-        // Gets the preferred system font family with fallback logic.
-        // Order: Segoe UI → Arial → First available system font
-        public static FontFamily GetSystemFont()
-        {
-            if (_cachedSystemFont != null)
-                return _cachedSystemFont.Value!;
-
-            if (SystemFonts.TryGet("Segoe UI", out var segoeFontFamily))
-            {
-                _cachedSystemFont = segoeFontFamily;
-                return segoeFontFamily;
-            }
-
-            if (SystemFonts.TryGet("Arial", out var arialFontFamily))
-            {
-                _cachedSystemFont = arialFontFamily;
-                return arialFontFamily;
-            }
-
-            var fallbackFont = SystemFonts.Families.First();
-            _cachedSystemFont = fallbackFont;
-            return fallbackFont;
-        }
-
-        public static Font CreateFont(float size, FontStyle style = FontStyle.Regular)
-        {
-            return GetSystemFont().CreateFont(size, style);
-        }
-
-        public static RichTextOptions CreateTextOptions(Font font, 
-            HorizontalAlignment horizontalAlignment = HorizontalAlignment.Left,
-            VerticalAlignment verticalAlignment = VerticalAlignment.Top,
-            float lineSpacing = 1.15f)
-        {
-            return new RichTextOptions(font)
-            {
-                HorizontalAlignment = horizontalAlignment,
-                VerticalAlignment = verticalAlignment,
-                LineSpacing = lineSpacing,
-                Dpi = UIConstants.TextDpi,
-                FallbackFontFamilies = new[] { GetSystemFont() }
-            };
-        }
-    }
+using SixLabors.Fonts;
+using SixLabors.ImageSharp.Drawing.Processing;
+using System.Linq;
+
+namespace MultiImageClient
+{
+    public static class FontUtils
+    {
+        private static FontFamily? _cachedSystemFont;
+
+        // Gets the preferred system font family with fallback logic.
+        // Order: Segoe UI → Arial → First available system font
+        public static FontFamily GetSystemFont()
+        {
+            if (_cachedSystemFont != null)
+                return _cachedSystemFont.Value!;
+
+            if (SystemFonts.TryGet("Segoe UI", out var segoeFontFamily))
+            {
+                _cachedSystemFont = segoeFontFamily;
+                return segoeFontFamily;
+            }
+
+            if (SystemFonts.TryGet("Arial", out var arialFontFamily))
+            {
+                _cachedSystemFont = arialFontFamily;
+                return arialFontFamily;
+            }
+
+            var fallbackFont = SystemFonts.Families.First();
+            _cachedSystemFont = fallbackFont;
+            return fallbackFont;
+        }
+
+        public static Font CreateFont(float size, FontStyle style = FontStyle.Regular)
+        {
+            return GetSystemFont().CreateFont(size, style);
+        }
+
+        public static RichTextOptions CreateTextOptions(Font font, 
+            HorizontalAlignment horizontalAlignment = HorizontalAlignment.Left,
+            VerticalAlignment verticalAlignment = VerticalAlignment.Top,
+            float lineSpacing = 1.15f)
+        {
+            return new RichTextOptions(font)
+            {
+                HorizontalAlignment = horizontalAlignment,
+                VerticalAlignment = verticalAlignment,
+                LineSpacing = lineSpacing,
+                Dpi = UIConstants.TextDpi,
+                FallbackFontFamilies = new[] { GetSystemFont() }
+            };
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Utils/ImageUtils.cs b/MultiImageClient/Utils/ImageUtils.cs
index 4bf6c3e..3482725 100644
--- a/MultiImageClient/Utils/ImageUtils.cs
+++ b/MultiImageClient/Utils/ImageUtils.cs
@@ -1,142 +1,142 @@
-using SixLabors.ImageSharp;
-using SixLabors.ImageSharp.Drawing.Processing;
-using SixLabors.ImageSharp.PixelFormats;
-using SixLabors.ImageSharp.Processing;
-using SixLabors.Fonts;
-using System;
-using System.Collections.Generic;
-using System.Linq;
-
-namespace MultiImageClient
-{
-    public static class ImageUtils
-    {
-        public static readonly GraphicsOptions StandardGraphicsOptions = new GraphicsOptions
-        {
-            Antialias = true,
-            AntialiasSubpixelDepth = 32
-        };
-
-        public static void ApplyStandardGraphicsOptions(this IImageProcessingContext ctx)
-        {
-            ctx.SetGraphicsOptions(StandardGraphicsOptions);
-        }
-
-        public static int MeasureTextHeight(string text, Font font, float lineSpacing = 1.15f, float wrappingLength = 0)
-        {
-            if (string.IsNullOrEmpty(text))
-                return 0;
-
-            var textOptions = FontUtils.CreateTextOptions(font, lineSpacing: lineSpacing);
-            if (wrappingLength > 0)
-                textOptions.WrappingLength = wrappingLength;
-
-            var bounds = TextMeasurer.MeasureBounds(text, textOptions);
-            return (int)Math.Ceiling(bounds.Height);
-        }
-
-        public static void DrawTextStandard(this IImageProcessingContext ctx, 
-            RichTextOptions options, 
-            string text, 
-            Color color)
-        {
-            ctx.DrawText(options, text, color);
-        }
-
-
-        public static Image<Rgba32> CreateStandardImage(int width, int height, Color? backgroundColor = null)
-        {
-            var image = new Image<Rgba32>(width, height);
-            
-            if (backgroundColor.HasValue)
-            {
-                image.Mutate(ctx =>
-                {
-                    ctx.ApplyStandardGraphicsOptions();
-                    ctx.Fill(backgroundColor.Value);
-                });
-            }
-
-            return image;
-        }
-
-        public static int MeasureMaxTextHeight(IEnumerable<string> texts, Font font, float lineSpacing = UIConstants.LineSpacing)
-        {
-            int maxHeight = 0;
-
-            foreach (var text in texts.Where(t => !string.IsNullOrEmpty(t)))
-            {
-                var height = MeasureTextHeight(text, font, lineSpacing);
-                maxHeight = Math.Max(maxHeight, height);
-            }
-
-            return maxHeight;
-        }
-
-        public static void DrawErrorPlaceholder(this IImageProcessingContext ctx, RectangleF bounds, string errorText, Font font)
-        {
-            // Draw placeholder background and border
-            ctx.Fill(UIConstants.PlaceholderFill, bounds);
-            ctx.Draw(UIConstants.PlaceholderBorder, 2f, bounds);
-
-            // Auto-size font to fit the available space (start with smaller size for error text)
-            var maxFontSize = Math.Min((int)font.Size, 14); // Cap at 14pt for error text
-            var availableWidth = bounds.Width - (UIConstants.Padding * 2);
-            var autoSizedFont = AutoSizeFont(errorText, (int)availableWidth, maxFontSize, UIConstants.MinFontSize);
-
-            // Draw error text with proper wrapping and top alignment
-            var errorTextOptions = FontUtils.CreateTextOptions(autoSizedFont, 
-                HorizontalAlignment.Center, VerticalAlignment.Top);
-            
-            // Set wrapping length to prevent text overflow
-            errorTextOptions.WrappingLength = availableWidth;
-            
-            // Position text at top with padding
-            errorTextOptions.Origin = new PointF(bounds.X + bounds.Width / 2f, bounds.Y + UIConstants.Padding);
-            
-            ctx.DrawTextStandard(errorTextOptions, errorText, UIConstants.ErrorRed);
-        }
-
-        public static Font AutoSizeFont(string text, int maxWidth, int startingSize, int minSize = UIConstants.MinFontSize, FontStyle style = FontStyle.Regular)
-        {
-            var fontSize = startingSize;
-            var font = FontUtils.CreateFont(fontSize, style);
-            var textOptions = FontUtils.CreateTextOptions(font, HorizontalAlignment.Left);
-            var textBounds = TextMeasurer.MeasureBounds(text, textOptions);
-
-            while (textBounds.Width > maxWidth - (UIConstants.Padding * 2) && fontSize > minSize)
-            {
-                fontSize--;
-                font = FontUtils.CreateFont(fontSize, style);
-                textOptions = FontUtils.CreateTextOptions(font, HorizontalAlignment.Left);
-                textBounds = TextMeasurer.MeasureBounds(text, textOptions);
-            }
-
-            return font;
-        }
-
-        public static void DrawTextWithBackground(this IImageProcessingContext ctx, RectangleF backgroundBounds, 
-            string text, Font font, Color textColor, Color backgroundColor, 
-            HorizontalAlignment alignment = HorizontalAlignment.Center, float lineSpacing = 1.15f)
-        {
-            // Draw background
-            ctx.Fill(backgroundColor, backgroundBounds);
-
-            // Draw text with proper wrapping and top alignment
-            var textOptions = FontUtils.CreateTextOptions(font, alignment, VerticalAlignment.Top, lineSpacing);
-            
-            // Set wrapping length to prevent text overflow
-            var availableWidth = backgroundBounds.Width - (UIConstants.Padding * 2);
-            textOptions.WrappingLength = availableWidth;
-            
-            textOptions.Origin = alignment switch
-            {
-                HorizontalAlignment.Left => new PointF(backgroundBounds.X + UIConstants.Padding, backgroundBounds.Y + UIConstants.Padding),
-                HorizontalAlignment.Right => new PointF(backgroundBounds.X + backgroundBounds.Width - UIConstants.Padding, backgroundBounds.Y + UIConstants.Padding),
-                _ => new PointF(backgroundBounds.X + backgroundBounds.Width / 2f, backgroundBounds.Y + UIConstants.Padding)
-            };
-
-            ctx.DrawTextStandard(textOptions, text, textColor);
-        }
-    }
-}
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Drawing.Processing;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.ImageSharp.Processing;
+using SixLabors.Fonts;
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace MultiImageClient
+{
+    public static class ImageUtils
+    {
+        public static readonly GraphicsOptions StandardGraphicsOptions = new GraphicsOptions
+        {
+            Antialias = true,
+            AntialiasSubpixelDepth = 32
+        };
+
+        public static void ApplyStandardGraphicsOptions(this IImageProcessingContext ctx)
+        {
+            ctx.SetGraphicsOptions(StandardGraphicsOptions);
+        }
+
+        public static int MeasureTextHeight(string text, Font font, float lineSpacing = 1.15f, float wrappingLength = 0)
+        {
+            if (string.IsNullOrEmpty(text))
+                return 0;
+
+            var textOptions = FontUtils.CreateTextOptions(font, lineSpacing: lineSpacing);
+            if (wrappingLength > 0)
+                textOptions.WrappingLength = wrappingLength;
+
+            var bounds = TextMeasurer.MeasureBounds(text, textOptions);
+            return (int)Math.Ceiling(bounds.Height);
+        }
+
+        public static void DrawTextStandard(this IImageProcessingContext ctx, 
+            RichTextOptions options, 
+            string text, 
+            Color color)
+        {
+            ctx.DrawText(options, text, color);
+        }
+
+
+        public static Image<Rgba32> CreateStandardImage(int width, int height, Color? backgroundColor = null)
+        {
+            var image = new Image<Rgba32>(width, height);
+            
+            if (backgroundColor.HasValue)
+            {
+                image.Mutate(ctx =>
+                {
+                    ctx.ApplyStandardGraphicsOptions();
+                    ctx.Fill(backgroundColor.Value);
+                });
+            }
+
+            return image;
+        }
+
+        public static int MeasureMaxTextHeight(IEnumerable<string> texts, Font font, float lineSpacing = UIConstants.LineSpacing)
+        {
+            int maxHeight = 0;
+
+            foreach (var text in texts.Where(t => !string.IsNullOrEmpty(t)))
+            {
+                var height = MeasureTextHeight(text, font, lineSpacing);
+                maxHeight = Math.Max(maxHeight, height);
+            }
+
+            return maxHeight;
+        }
+
+        public static void DrawErrorPlaceholder(this IImageProcessingContext ctx, RectangleF bounds, string errorText, Font font)
+        {
+            // Draw placeholder background and border
+            ctx.Fill(UIConstants.PlaceholderFill, bounds);
+            ctx.Draw(UIConstants.PlaceholderBorder, 2f, bounds);
+
+            // Auto-size font to fit the available space (start with smaller size for error text)
+            var maxFontSize = Math.Min((int)font.Size, 14); // Cap at 14pt for error text
+            var availableWidth = bounds.Width - (UIConstants.Padding * 2);
+            var autoSizedFont = AutoSizeFont(errorText, (int)availableWidth, maxFontSize, UIConstants.MinFontSize);
+
+            // Draw error text with proper wrapping and top alignment
+            var errorTextOptions = FontUtils.CreateTextOptions(autoSizedFont, 
+                HorizontalAlignment.Center, VerticalAlignment.Top);
+            
+            // Set wrapping length to prevent text overflow
+            errorTextOptions.WrappingLength = availableWidth;
+            
+            // Position text at top with padding
+            errorTextOptions.Origin = new PointF(bounds.X + bounds.Width / 2f, bounds.Y + UIConstants.Padding);
+            
+            ctx.DrawTextStandard(errorTextOptions, errorText, UIConstants.ErrorRed);
+        }
+
+        public static Font AutoSizeFont(string text, int maxWidth, int startingSize, int minSize = UIConstants.MinFontSize, FontStyle style = FontStyle.Regular)
+        {
+            var fontSize = startingSize;
+            var font = FontUtils.CreateFont(fontSize, style);
+            var textOptions = FontUtils.CreateTextOptions(font, HorizontalAlignment.Left);
+            var textBounds = TextMeasurer.MeasureBounds(text, textOptions);
+
+            while (textBounds.Width > maxWidth - (UIConstants.Padding * 2) && fontSize > minSize)
+            {
+                fontSize--;
+                font = FontUtils.CreateFont(fontSize, style);
+                textOptions = FontUtils.CreateTextOptions(font, HorizontalAlignment.Left);
+                textBounds = TextMeasurer.MeasureBounds(text, textOptions);
+            }
+
+            return font;
+        }
+
+        public static void DrawTextWithBackground(this IImageProcessingContext ctx, RectangleF backgroundBounds, 
+            string text, Font font, Color textColor, Color backgroundColor, 
+            HorizontalAlignment alignment = HorizontalAlignment.Center, float lineSpacing = 1.15f)
+        {
+            // Draw background
+            ctx.Fill(backgroundColor, backgroundBounds);
+
+            // Draw text with proper wrapping and top alignment
+            var textOptions = FontUtils.CreateTextOptions(font, alignment, VerticalAlignment.Top, lineSpacing);
+            
+            // Set wrapping length to prevent text overflow
+            var availableWidth = backgroundBounds.Width - (UIConstants.Padding * 2);
+            textOptions.WrappingLength = availableWidth;
+            
+            textOptions.Origin = alignment switch
+            {
+                HorizontalAlignment.Left => new PointF(backgroundBounds.X + UIConstants.Padding, backgroundBounds.Y + UIConstants.Padding),
+                HorizontalAlignment.Right => new PointF(backgroundBounds.X + backgroundBounds.Width - UIConstants.Padding, backgroundBounds.Y + UIConstants.Padding),
+                _ => new PointF(backgroundBounds.X + backgroundBounds.Width / 2f, backgroundBounds.Y + UIConstants.Padding)
+            };
+
+            ctx.DrawTextStandard(textOptions, text, textColor);
+        }
+    }
+}

From 2fdd6bc7871ed79fc95ef95661741f5d7b3d4a7e Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 16:15:31 -0700
Subject: [PATCH 37/78] more async

---
 MultiImageClient/Program.cs | 19 ++++++++++---------
 1 file changed, 10 insertions(+), 9 deletions(-)

diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index a255987..31f4b0d 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -50,7 +50,7 @@ static async Task Main(string[] args)
 
             //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-            var myGenerators = new List<IImageGenerator>() { ideogram1,  ideogram4, dalle3, recraft3, bfl1, bfl2, bfl3}; 
+            var myGenerators = new List<IImageGenerator>() { ideogram1,  ideogram4, dalle3, recraft6, bfl1, bfl2, bfl3}; 
             var imageManager = new ImageManager(settings, stats);
 
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
@@ -137,7 +137,8 @@ static async Task Main(string[] args)
 
                     try
                     {
-                        var res = ImageSaving.CombineImagesHorizontallyAsync(results, promptString.Prompt, settings);
+                        var res = await ImageSaving.CombineImagesHorizontallyAsync(results, promptString.Prompt, settings);
+                        Logger.Log($"Combined images saved to: {res}");
                     }
                     catch (Exception ex)
                     {
@@ -147,13 +148,13 @@ static async Task Main(string[] args)
             }
 
             // Wait for all tasks
-            while (allTasks.Any(t => !t.IsCompleted))
-            {
-                var completed = allTasks.Count(t => t.IsCompleted);
-                var remaining = allTasks.Count - completed;
-                Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining...");
-                await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
-            }
+            // while (allTasks.Any(t => !t.IsCompleted))
+            // {
+            //     var completed = allTasks.Count(t => t.IsCompleted);
+            //     var remaining = allTasks.Count - completed;
+            //     Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining...");
+            //     await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
+            // }
         }
     }
 }

From b2f72a7018799eb450a1d8693df91679f01d5be2 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 18 Sep 2025 17:23:08 -0700
Subject: [PATCH 38/78] fix image saving, error text accuracy etc

---
 MultiImageClient/ImageManager.cs                     |  3 ---
 MultiImageClient/Implementation/FileNameGenerator.cs |  2 +-
 MultiImageClient/Implementation/ImageSaving.cs       |  2 +-
 MultiImageClient/Program.cs                          |  4 ++--
 MultiImageClient/Services/GptImageOneGenerator.cs    | 12 ++++++++++--
 5 files changed, 14 insertions(+), 9 deletions(-)

diff --git a/MultiImageClient/ImageManager.cs b/MultiImageClient/ImageManager.cs
index 8d98cdb..da42d2b 100644
--- a/MultiImageClient/ImageManager.cs
+++ b/MultiImageClient/ImageManager.cs
@@ -26,9 +26,6 @@ public ImageManager(Settings settings, MultiClientRunStats stats)
 
         public async Task<Dictionary<SaveType, string>> DoSaveAsync(IImageGenerator generator, byte[] imageBytes, TaskProcessResult result, Settings settings)
         {
-
-
-
             if (imageBytes == null || imageBytes.Length == 0)
             {
                 Logger.Log($"Empty or null image bytes received");
diff --git a/MultiImageClient/Implementation/FileNameGenerator.cs b/MultiImageClient/Implementation/FileNameGenerator.cs
index 46503e0..15fcb8b 100644
--- a/MultiImageClient/Implementation/FileNameGenerator.cs
+++ b/MultiImageClient/Implementation/FileNameGenerator.cs
@@ -17,7 +17,7 @@ public static string TruncatePrompt(string prompt, int maxLength)
             return prompt.Length > maxLength ? prompt.Substring(0, maxLength) : prompt;
         }
 
-        private static string SanitizeFilename(string filename)
+        public static string SanitizeFilename(string filename)
         {
             string sanitized = Regex.Replace(filename, @"[^a-zA-Z0-9_\-]", "_");
             while (sanitized.Contains("__"))
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 6e57551..f9e9212 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -519,7 +519,7 @@ private static async Task<string> SaveCombinedImage(Image<Rgba32> image, string
 
             var truncatedPrompt = FilenameGenerator.TruncatePrompt(prompt, 50);
             var baseFilename = $"combined_{truncatedPrompt}_{DateTime.Now:HHmmss}";
-            var safeFilename = baseFilename;
+            var safeFilename = FilenameGenerator.SanitizeFilename(baseFilename);
             var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
 
             // Ensure unique filename
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 31f4b0d..7bbf2da 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -35,7 +35,7 @@ static async Task Main(string[] args)
             //var recraft2 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
             var recraft3 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, stats, "");
             var recraft4 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, stats, "");
-            var recraft5 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.infographical, null, null, stats, "");
+            var recraft5 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.line_art, null, null, stats, "");
             var recraft6 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, stats, "");
             //var recraft7 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
             var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, stats, "");
@@ -50,7 +50,7 @@ static async Task Main(string[] args)
 
             //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-            var myGenerators = new List<IImageGenerator>() { ideogram1,  ideogram4, dalle3, recraft6, bfl1, bfl2, bfl3}; 
+            var myGenerators = new List<IImageGenerator>() { gptimage1,  ideogram4, dalle3, recraft6, recraft5, bfl1, bfl2, bfl3}; 
             var imageManager = new ImageManager(settings, stats);
 
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
diff --git a/MultiImageClient/Services/GptImageOneGenerator.cs b/MultiImageClient/Services/GptImageOneGenerator.cs
index 34020aa..65864a5 100644
--- a/MultiImageClient/Services/GptImageOneGenerator.cs
+++ b/MultiImageClient/Services/GptImageOneGenerator.cs
@@ -6,6 +6,7 @@
 using System.ComponentModel;
 using System.Diagnostics;
 using System.Drawing;
+using System.Linq;
 using System.Net.Http;
 using System.Net.Http.Headers;
 using System.Text;
@@ -154,10 +155,17 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                 if (!resp.IsSuccessStatusCode)
                 {
                     Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
+
+                    var json2 = await resp.Content.ReadAsStringAsync();
+                    using JsonDocument doc2 = JsonDocument.Parse(json2);
+                    string errorMessage = doc2.RootElement.GetProperty("error").GetProperty("message").GetString();
+                    Console.WriteLine("errorMessage");
+                    var cleanedMessage = errorMessage.Split("If you believe").First().Trim();
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = cleanedMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
                 }
                 resp.EnsureSuccessStatusCode();
-
                 var json = await resp.Content.ReadAsStringAsync();
+
                 //await File.WriteAllTextAsync("response.json", json);
                 using var doc = JsonDocument.Parse(json);
                 var qq = doc.RootElement.GetProperty("data");
@@ -170,7 +178,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                 }
 
 
-                Console.WriteLine($"Generated:{promptDetails.Prompt}");
+                //Console.WriteLine($"Generated:{promptDetails.Prompt}");
                 return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s, Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
             }
             catch (Exception ex)

From 73aa7b98d1cbc6ff199b51ec1728aa035e15f56b Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sat, 20 Sep 2025 18:08:49 -0700
Subject: [PATCH 39/78] Fix naming, and test out all recraft styles

---
 MultiImageClient/GeneratorGroups.cs           | 113 ++++++++++++++++
 .../Implementation/ImageSaving.cs             | 125 ++----------------
 .../Implementation/TaskProcessResult.cs       |   1 +
 MultiImageClient/Program.cs                   |  65 +++++----
 .../SamePromptMultipleTargetsWorkflow.cs      |   2 +-
 MultiImageClient/Services/BFLGenerator.cs     |  17 ++-
 MultiImageClient/Services/ClaudeService.cs    |   2 +-
 MultiImageClient/Services/Dalle3Generator.cs  |  18 ++-
 .../Services/GptImageOneGenerator.cs          |  18 ++-
 .../Services/IdeogramGenerator.cs             |  19 ++-
 MultiImageClient/Services/RecraftGenerator.cs |  87 ++++++------
 .../promptTransformation/ClaudeRewriteStep.cs |   3 +-
 .../promptTransformation/IImageGenerator.cs   |   5 +-
 .../RecraftDigitalIllustrationSubstyle.cs     |   6 +-
 14 files changed, 280 insertions(+), 201 deletions(-)
 create mode 100644 MultiImageClient/GeneratorGroups.cs

diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
new file mode 100644
index 0000000..3c66767
--- /dev/null
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -0,0 +1,113 @@
+using IdeogramAPIClient;
+
+using OpenAI.Images;
+
+using RecraftAPIClient;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class GeneratorGroups
+    {
+        private Settings _settings;
+        private int _concurrency;
+        private MultiClientRunStats _stats;
+
+        public GeneratorGroups(Settings settings, int concurrency, MultiClientRunStats stats)
+        {
+            _settings = settings;
+            _concurrency = concurrency;
+            _stats = stats;
+        }
+        public IEnumerable<IImageGenerator> GetAll()
+        {
+            var dalle3 = new Dalle3Generator(_settings.OpenAIApiKey, _concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, _stats, "");
+            var recraft1 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.hard_comics, null, _stats, "");
+            var recraft2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
+            var recraft3 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, _stats, "");
+            var recraft4 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, _stats, "");
+            var recraft5 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.line_art, null, null, _stats, "");
+            var recraft6 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, _stats, "");
+            var recraft7 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
+            var recraft8 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.retro_realism, _stats, "");
+
+            var ideogram1 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, _stats, "");
+            var ideogram2 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, _stats, "");
+            var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A, _stats, "");
+            var ideogram4 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, _stats, "");
+            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
+            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024, _stats, "");
+            var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
+
+            var gptimage1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
+
+            //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
+            //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
+            var myGenerators = new List<IImageGenerator>() { gptimage1, ideogram4, dalle3, recraft6, recraft5, recraft8, bfl1, bfl2, bfl3 };
+            return myGenerators;
+        }
+
+        public IEnumerable<IImageGenerator> GetAllStylesOfRecraft()
+        {
+            var res = new List<IImageGenerator>();
+            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
+            var lim = 4000;
+            foreach (var style in styles)
+            {
+                var ii = 0;
+                
+                if (style == RecraftStyle.digital_illustration)
+                {
+                    var substyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyle)).Cast<RecraftDigitalIllustrationSubstyle>();
+                    
+                    foreach (var substyle in substyles)
+                    {
+                        ii++;
+                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, substyle, null, _stats, $"");
+                        res.Add(gen);
+                        if (ii > lim) { break; }
+                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, substyle, null, _stats, $"");
+                        //res.Add(gen2);
+                    }
+                }
+                else if (style == RecraftStyle.realistic_image)
+                {
+                    var substyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyle)).Cast<RecraftRealisticImageSubstyle>().ToList();
+                    ii = 0;
+                    foreach (var substyle in substyles)
+                    {
+                        ii++;
+                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, null, substyle, _stats, $"");
+                        res.Add(gen);
+                        if (ii > lim) { break; }
+                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, null, substyle, _stats, $"");
+                        //res.Add(gen2);
+                    }
+                }
+                else if (style == RecraftStyle.vector_illustration)
+                {
+                    var substyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyle)).Cast<RecraftVectorIllustrationSubstyle>().ToList();
+                    ii = 0;
+                    foreach (var substyle in substyles)
+                    {
+                        ii++;
+                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, substyle, null, null, _stats, $"");
+                        res.Add(gen);
+                        if (ii > lim) { break; }
+                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, substyle, null, null, _stats, $"");
+                        //res.Add(gen2);
+                    }
+                }
+            }
+
+            return res;
+            
+        }
+
+    }
+}
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index f9e9212..838c810 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -281,7 +281,7 @@ public static async Task<string> CombineImagesHorizontallyAsync(IEnumerable<Task
             // height of status (generator) labels
             int subtitleHeight = loadedImages
                 .Select(li => ImageUtils.MeasureTextHeight(
-                                  GetStatusText(li),
+                                  li.OriginalTaskProcessResult.ImageGeneratorDescription,
                                   generatorFont,
                                   UIConstants.LineSpacing))
                 .DefaultIfEmpty(0)
@@ -311,16 +311,15 @@ public static async Task<string> CombineImagesHorizontallyAsync(IEnumerable<Task
                     else
                     {
                         var rect = new RectangleF(currentX, 0, li.Width, maxImageHeight);
-                        ctx.DrawErrorPlaceholder(rect, li.FailureReason, generatorFont);
+                        ctx.DrawErrorPlaceholder(rect, li.OriginalTaskProcessResult.ErrorMessage, generatorFont);
                     }
 
-                    // draw generator label
-
                     labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
 
                     var labelColor = li.Success ? UIConstants.SuccessGreen
                                                 : UIConstants.ErrorRed;
-                    ctx.DrawTextStandard(labelOpts, GetStatusText(li), labelColor);
+                    var labelText = li.OriginalTaskProcessResult.ImageGeneratorDescription;
+                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
 
                     currentX += li.Width;
                 }
@@ -370,9 +369,9 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
 
                             loadedImages.Add(new LoadedImage
                             {
+                                OriginalTaskProcessResult = result,
                                 Success = true,
                                 Image = image,
-                                GeneratorName = result.ImageGenerator.ToString(),
                                 Width = image.Width,
                                 Height = image.Height
                             });
@@ -381,14 +380,14 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                         {
                             // Success but no bytes somehow
                             Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
-                            loadedImages.Add(CreateFailedGenerationPlaceholder(result.ImageGenerator.ToString(), false, result.ErrorMessage, placeholderWidth));
+                            loadedImages.Add(CreateFailedGenerationPlaceholder(result, false, placeholderWidth));
                         }
                     }
                     catch (Exception ex)
                     {
                         // GetImageBytes() might throw if bytes weren't set, or image loading failed
                         Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
-                        loadedImages.Add(CreateFailedGenerationPlaceholder(result.ImageGenerator.ToString(), false, result.ErrorMessage, placeholderWidth));
+                        loadedImages.Add(CreateFailedGenerationPlaceholder(result, false, placeholderWidth));
                     }
                 }
                 else
@@ -398,119 +397,27 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                         ? result.ErrorMessage
                         : result.GenericImageErrorType.ToString();
                     Logger.Log($"Result failed for {result.ImageGenerator}: {errorMsg}");
-                    loadedImages.Add(CreateFailedGenerationPlaceholder(result.ImageGenerator.ToString(), false, result.ErrorMessage, placeholderWidth));
+                    loadedImages.Add(CreateFailedGenerationPlaceholder(result, false,  placeholderWidth));
                 }
             }
 
-            return loadedImages.OrderBy(el => el.GeneratorName);
+            return loadedImages.OrderBy(el => el.OriginalTaskProcessResult.ImageGeneratorDescription);
         }
 
         /// when an image fails to generate we add in a fixed-width holder in any combined image, to show what happened and be able to
         /// at least see the filtering rules etc.
-        private static LoadedImage CreateFailedGenerationPlaceholder(string generatorName, bool success, string reason, int placeholderWidth)
+        private static LoadedImage CreateFailedGenerationPlaceholder(TaskProcessResult result, bool successFindingImage, int placeholderWidth)
         {
             return new LoadedImage
             {
-                Success = success,
-                FailureReason = reason,
+                OriginalTaskProcessResult = result,
                 Image = null,
-                GeneratorName = generatorName,
+                Success = successFindingImage,
                 Width = placeholderWidth,
                 Height = placeholderWidth
             };
         }
 
-        private static ImageDimensions CalculateDimensions(IEnumerable<LoadedImage> loadedImages, string prompt, Font subtitleFont, Font promptFont)
-        {
-            int totalWidth = loadedImages.Sum(img => img.Width);
-            int maxImageHeight = loadedImages.Where(img => img.Success).Any()
-                ? loadedImages.Where(img => img.Success).Max(img => img.Height)
-                : 300;
-
-            // Calculate text heights
-            var subtitleHeight = MeasureMaxHeight(loadedImages.Select(img => GetStatusText(img)), subtitleFont);
-
-            // Calculate prompt height with wrapping support
-            var wrappingWidth = totalWidth - (UIConstants.Padding * 4);
-            var promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
-
-            // pad the prompt with extra height.
-            var extraPadding = UIConstants.Padding * 3;
-
-            return new ImageDimensions
-            {
-                TotalWidth = totalWidth,
-                MaxImageHeight = maxImageHeight,
-                SubtitleHeight = subtitleHeight + UIConstants.Padding,
-                PromptHeight = promptHeight + extraPadding + UIConstants.Padding,
-                TotalHeight = maxImageHeight + subtitleHeight + promptHeight + extraPadding
-            };
-        }
-
-        private static int MeasureMaxHeight(IEnumerable<string> texts, Font font)
-        {
-            int maxHeight = 0;
-
-            foreach (var text in texts)
-            {
-                if (!string.IsNullOrEmpty(text))
-                {
-                    var height = ImageUtils.MeasureTextHeight(text, font, UIConstants.LineSpacing);
-                    maxHeight = Math.Max(maxHeight, height);
-                }
-            }
-
-            return maxHeight;
-        }
-
-        private static void DrawImagesAndLabels(IImageProcessingContext ctx, IEnumerable<LoadedImage> loadedImages, int maxImageHeight, Font subtitleFont)
-        {
-            int currentX = 0;
-
-            foreach (var loadedImage in loadedImages)
-            {
-                // Draw image or placeholder
-                if (loadedImage.Success && loadedImage.Image != null)
-                {
-                    ctx.DrawImage(loadedImage.Image, new Point(currentX, 0), 1f);
-                }
-                else
-                {
-                    // Draw placeholder rectangle with error text
-                    var placeholderRect = new RectangleF(currentX, 0, loadedImage.Width, maxImageHeight);
-                    ctx.DrawErrorPlaceholder(placeholderRect, loadedImage.FailureReason, subtitleFont);
-                }
-
-                // Draw subtitle
-                var statusText = GetStatusText(loadedImage);
-                var statusColor = loadedImage.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-
-                var subtitleOptions = FontUtils.CreateTextOptions(subtitleFont,
-                    HorizontalAlignment.Center, VerticalAlignment.Top, LabelTotalLineSpacing);
-                subtitleOptions.Origin = new PointF(currentX + loadedImage.Width / 2f, maxImageHeight + UIConstants.Padding);
-
-                ctx.DrawTextStandard(subtitleOptions, statusText, statusColor);
-
-                currentX += loadedImage.Width;
-            }
-        }
-
-        private static void DrawPrompt(IImageProcessingContext ctx, string prompt, Font promptFont, ImageDimensions dimensions)
-        {
-            var promptAreaTop = dimensions.MaxImageHeight + dimensions.SubtitleHeight + UIConstants.Padding;
-            var promptAreaHeight = dimensions.PromptHeight;
-
-            // Add extra padding above the prompt area for better spacing
-            var extraPadding = UIConstants.Padding * 3;
-            var promptY = promptAreaTop + extraPadding;
-
-            var promptOptions = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Center, LabelTotalLineSpacing);
-            promptOptions.Origin = new PointF(UIConstants.Padding * 2, promptY);
-            promptOptions.WrappingLength = dimensions.TotalWidth - (UIConstants.Padding * 4);
-
-            ctx.DrawTextStandard(promptOptions, prompt, UIConstants.Black);
-        }
-
         private static async Task<string> SaveCombinedImage(Image<Rgba32> image, string prompt, Settings settings)
         {
             string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
@@ -536,17 +443,11 @@ private static async Task<string> SaveCombinedImage(Image<Rgba32> image, string
             return outputPath;
         }
 
-        private static string GetStatusText(LoadedImage image)
-        {
-            return image.GeneratorName;
-        }
-
         private class LoadedImage
         {
+            public TaskProcessResult OriginalTaskProcessResult { get; set; }
             public bool Success { get; set; }
-            public string FailureReason { get; set; } = "";
             public Image<Rgba32> Image { get; set; }
-            public string GeneratorName { get; set; }
             public int Width { get; set; }
             public int Height { get; set; }
         }
diff --git a/MultiImageClient/Implementation/TaskProcessResult.cs b/MultiImageClient/Implementation/TaskProcessResult.cs
index 7b007b7..280d3b4 100644
--- a/MultiImageClient/Implementation/TaskProcessResult.cs
+++ b/MultiImageClient/Implementation/TaskProcessResult.cs
@@ -21,6 +21,7 @@ public class TaskProcessResult
         public string ContentType { get; set; }
         public PromptDetails PromptDetails { get; set; }
         public ImageGeneratorApiType ImageGenerator { get; set; }
+        public string ImageGeneratorDescription { get; set; }
         public TextGeneratorApiType TextGenerator { get; set; }
         public long CreateTotalMs { get; set; } = 0;
         public long DownloadTotalMs { get; set; } = 0;
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 7bbf2da..b28012e 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -7,13 +7,40 @@
 using System;
 using System.Collections.Generic;
 using System.Drawing.Printing;
+using System.IO;
 using System.Linq;
 using System.Runtime;
 using System.Security.Cryptography.X509Certificates;
+using System.Text.Json;
 using System.Threading.Tasks;
 
 namespace MultiImageClient
 {
+    public class PromptLogger
+    {
+        private const string LogFileName = "prompt_log.json";
+
+        public static void LogPrompt(string prompt)
+        {
+            var logEntry = new
+            {
+                time = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds(),
+                prompt = prompt
+            };
+
+            var jsonLine = JsonSerializer.Serialize(logEntry);
+            
+            try
+            {
+                File.AppendAllText(LogFileName, jsonLine + Environment.NewLine);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Failed to write to prompt log: {ex.Message}");
+            }
+        }
+    }
+
     public class Program
     {
         private static ClaudeService _ClaudeService { get; set; }
@@ -23,37 +50,25 @@ static async Task Main(string[] args)
             var settings = Settings.LoadFromFile(settingsFilePath);
             var concurrency = 1;
             var stats = new MultiClientRunStats();
+            var getter = new GeneratorGroups(settings, concurrency, stats);
 
             var promptSource = new ReadAllPromptsFromFile(settings, "");
-            var steps = new List<ITransformationStep>();
+            
+            var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
+            var claudeStep = new ClaudeRewriteStep("Please take the following topic and make it specific; cast the die, take a chance, and expand it to a longer, detailed, specific description of a scene with all the elements of it described. Describe how the thing looks, feels, appears, etc in high detail. Put the most important aspects first such as the overall description, then continue by expanding that and adding more detail, structure, theme. Be specific in whatevr you do. If it seems appropriate, if a man appears don't just say 'the man', but instead actually give him a name, traits, personality, etc. The goal is to deeply expand the world envisioned by the original topic creator. Overall, follow the implied theem and goals of the creator, but just expand it into much more specifics and concreate actualization. Never use phrases or words like 'diverse', 'vibrant' etc. Be very concrete and precise in your descriptions, similar to how ansel adams describing a new treasured species of bird would - detailed, caring, dense, clear, sharp, speculative and never wordy or fluffy. every single word you say must be relevant to the goal of increasing the info you share about this image or sitaution or scene. Be direct and clear.", "", claudeService, 0.4m, stats);
+
+            //var steps = new List<ITransformationStep>() { claudeStep};
+            var steps = new List<ITransformationStep>() {  };
 
 
             /// ------------------- MAKING SERVICES ----------------------------
 
-            var dalle3 = new Dalle3Generator(settings.OpenAIApiKey, concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, stats, "");
-            var recraft1 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.hard_comics,  null, stats, "");
-            //var recraft2 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
-            var recraft3 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, stats, "");
-            var recraft4 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, stats, "");
-            var recraft5 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.line_art, null, null, stats, "");
-            var recraft6 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, stats, "");
-            //var recraft7 = new RecraftGenerator(settings.RecraftApiKey, concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, stats, "");
-            var ideogram1 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, stats, "");
-            var ideogram2 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, stats, "");
-            var ideogram3 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A, stats, "");
-            var ideogram4 = new IdeogramGenerator(settings.IdeogramApiKey, concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, stats, "");
-            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, settings.BFLApiKey, concurrency, "3:2", false, 1024, 1024, stats, "");
-            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, "1:1", false, 1024, 1024, stats, "");
-            var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, settings.BFLApiKey, concurrency, "3:2", false, 1024, 1024, stats, "");
-
-            var gptimage1 = new GptImageOneGenerator(settings.OpenAIApiKey, concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, stats, "");
-
-            //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
-            //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-            var myGenerators = new List<IImageGenerator>() { gptimage1,  ideogram4, dalle3, recraft6, recraft5, bfl1, bfl2, bfl3}; 
+
             var imageManager = new ImageManager(settings, stats);
 
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
+            //var generators = getter.GetAll();
+            var generators = getter.GetAllStylesOfRecraft();
 
 
             var allTasks = new List<Task>();
@@ -75,8 +90,8 @@ static async Task Main(string[] args)
                 else
                 {
                     var usingVal = val.Trim();
+                    PromptLogger.LogPrompt(usingVal);
                     promptString.UndoLastStep();
-                    //this is a bit silly since the original initial prompt will still be in history for no reason.
                     promptString.ReplacePrompt(usingVal, "explanation", TransformationType.InitialPrompt);
                 }
 
@@ -100,7 +115,7 @@ static async Task Main(string[] args)
                 while (ii < 1)
                 {
                     // Create tasks for all generators for this prompt
-                    var generatorTasks = myGenerators.Select(async generator =>
+                    var generatorTasks = generators.Select(async generator =>
                     {
                         PromptDetails theCopy = null;
                         
@@ -108,7 +123,7 @@ static async Task Main(string[] args)
                         {
                             theCopy = promptString.Copy();
                             
-                            var result = await generator.ProcessPromptAsync(theCopy);
+                            var result = await generator.ProcessPromptAsync(generator, theCopy);
                             await imageManager.ProcessAndSaveAsync(result, generator);
                             Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
                             
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
index 5abfcd7..5c998f4 100644
--- a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
+++ b/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
@@ -36,7 +36,7 @@ public async Task RunAsync()
                 {
                     var nam = kvp.Key;
                     var generator = kvp.Value;
-                    TaskProcessResult result = await generator.ProcessPromptAsync(promptDetails);
+                    TaskProcessResult result = await generator.ProcessPromptAsync(generator, promptDetails);
                     //await _imageManager.ProcessAndSaveAsync(result, generator);
                     tasks.Add(Task.FromResult(result));
                 }
diff --git a/MultiImageClient/Services/BFLGenerator.cs b/MultiImageClient/Services/BFLGenerator.cs
index 7cb62e5..10aeb68 100644
--- a/MultiImageClient/Services/BFLGenerator.cs
+++ b/MultiImageClient/Services/BFLGenerator.cs
@@ -39,6 +39,19 @@ public class BFLGenerator : IImageGenerator
         private ImageGeneratorApiType _apiType { get; }
         private string _name;
 
+        
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"{_apiType}";
+            }
+            else
+            {
+                return $"{_name}";
+            }
+        }
+
         public string GetFilenamePart(PromptDetails pd)
         {
             var res = $"{_apiType}{_name}";
@@ -94,7 +107,7 @@ public decimal GetCost()
                     }
             else { throw new Exception("Q"); }
         }
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
         {
             await _bflSemaphore.WaitAsync();
 
@@ -140,7 +153,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                 // this is where we handle generator-specific error types.
                 if (generationResponse.Status != "Ready")
                 {
-                    var baseResponse = new TaskProcessResult { IsSuccess = false, PromptDetails = promptDetails, ImageGenerator = _apiType, ErrorMessage = generationResponse.Status };
+                    var baseResponse = new TaskProcessResult { IsSuccess = false, PromptDetails = promptDetails, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), ImageGenerator = _apiType, ErrorMessage = generationResponse.Status };
                     if (generationResponse.Status == "Content Moderated")
                     {
                         _stats.BFLImageGenerationErrorCount++;
diff --git a/MultiImageClient/Services/ClaudeService.cs b/MultiImageClient/Services/ClaudeService.cs
index 5a50ea5..a9df9c5 100644
--- a/MultiImageClient/Services/ClaudeService.cs
+++ b/MultiImageClient/Services/ClaudeService.cs
@@ -63,7 +63,7 @@ public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDeta
                 promptDetails.AddStep("Claude wouldn't have touched this prompt", TransformationType.ClaudeWouldRefuseRewrite);
                 Logger.Log($"\t\tClaude would have refused to rewrite: {promptDetails.Show()}");
                 stats.ClaudeWouldRefuseCount++;
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = "Claude wouldn't have touched this prompt", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated};
+                return new TaskProcessResult { ImageGeneratorDescription="Claude?", IsSuccess = false, ErrorMessage = "Claude wouldn't have touched this prompt", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated};
             }
             await _claudeSemaphore.WaitAsync();
             try
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/Services/Dalle3Generator.cs
index 21db2b6..fb419b7 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -75,7 +75,7 @@ public List<string> GetRightParts()
         }
 
         /// it's rather annoying that we still have to send in the original pd. we do that because here is where we notice things like "de3 modified or banned the text, etc."
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
         {
             await _dalle3Semaphore.WaitAsync();
             try
@@ -96,7 +96,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                 {
                     promptDetails.ReplacePrompt(revisedPrompt, revisedPrompt, TransformationType.Dalle3Rewrite);
                 }
-                return new TaskProcessResult { IsSuccess = true, Url = uri.ToString(), ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
+                return new TaskProcessResult { IsSuccess = true, Url = uri.ToString(), ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
             }
             catch (Exception ex)
             {
@@ -107,12 +107,24 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                     errorMessage = ms.Last();
                 }
                     
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = errorMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3 };
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = errorMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
             }
             finally
             {
                 _dalle3Semaphore.Release();
             }
         }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"dall-e-3";
+            }
+            else
+            {
+                return $"{_name}";
+            }
+        }
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/GptImageOneGenerator.cs b/MultiImageClient/Services/GptImageOneGenerator.cs
index 65864a5..6408dd9 100644
--- a/MultiImageClient/Services/GptImageOneGenerator.cs
+++ b/MultiImageClient/Services/GptImageOneGenerator.cs
@@ -27,6 +27,18 @@ public class GptImageOneGenerator : IImageGenerator
         private OpenAIGPTImageOneQuality _quality;
         private string _name;
 
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"gpt-image-1";
+            }
+            else
+            {
+                return $"{_name}";
+            }
+        }
+
         public GptImageOneGenerator(string apiKey, int maxConcurrency, string size, string moderation, OpenAIGPTImageOneQuality quality, MultiClientRunStats stats, string name)
         {
             _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
@@ -126,7 +138,7 @@ public List<string> GetRightParts()
         }
 
 
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
         {
             await _gptImageOneSemaphore.WaitAsync();
             var sw = Stopwatch.StartNew();
@@ -161,7 +173,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                     string errorMessage = doc2.RootElement.GetProperty("error").GetProperty("message").GetString();
                     Console.WriteLine("errorMessage");
                     var cleanedMessage = errorMessage.Split("If you believe").First().Trim();
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = cleanedMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = cleanedMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
                 }
                 resp.EnsureSuccessStatusCode();
                 var json = await resp.Content.ReadAsStringAsync();
@@ -179,7 +191,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
 
 
                 //Console.WriteLine($"Generated:{promptDetails.Prompt}");
-                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s, Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s, Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
             }
             catch (Exception ex)
             {
diff --git a/MultiImageClient/Services/IdeogramGenerator.cs b/MultiImageClient/Services/IdeogramGenerator.cs
index e043c29..b25e06d 100644
--- a/MultiImageClient/Services/IdeogramGenerator.cs
+++ b/MultiImageClient/Services/IdeogramGenerator.cs
@@ -25,6 +25,17 @@ public class IdeogramGenerator : IImageGenerator
         private IdeogramModel _model;
         private string _name;
 
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"ideogram_{_model}";
+            }
+            else
+            {
+                return $"{_name}";
+            }
+        }
 
         public IdeogramGenerator(string apiKey, int maxConcurrency, IdeogramMagicPromptOption magicPrompt, IdeogramAspectRatio aspectRatio, IdeogramStyleType? styleType, string negativePrompt, IdeogramModel model, MultiClientRunStats stats, string name)
         {
@@ -136,7 +147,7 @@ public List<string> GetRightParts()
             return rightsideContents;
         }
 
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
         {
             await _ideogramSemaphore.WaitAsync();
             try
@@ -166,7 +177,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                         }
                         var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, imageObject.Url));
                         var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-                        return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram };
+                        return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
                     }
                     throw new Exception("No images returned");
                 }
@@ -176,7 +187,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                 }
                 else
                 {
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = "No images generated", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated };
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = "No images generated", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
                 }
             }
 
@@ -195,7 +206,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                 {
                     errorMessage = ex.Message;
                 }
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = errorMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown };
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = errorMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
             }
             finally
             {
diff --git a/MultiImageClient/Services/RecraftGenerator.cs b/MultiImageClient/Services/RecraftGenerator.cs
index 6d866b6..dcf400a 100644
--- a/MultiImageClient/Services/RecraftGenerator.cs
+++ b/MultiImageClient/Services/RecraftGenerator.cs
@@ -10,6 +10,8 @@
 using System.Linq;
 using System.Net.Http;
 using System.Runtime.CompilerServices;
+using System.Text.Json;
+using System.Text.RegularExpressions;
 using System.Threading;
 using System.Threading.Tasks;
 
@@ -29,6 +31,34 @@ public class RecraftGenerator : IImageGenerator
         private RecraftImageSize _imageSize;
         private string _name;
 
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                var usingSubstyle = "";
+                if (_style == RecraftStyle.digital_illustration)
+                {
+                    usingSubstyle = _substyleDigital.ToString();
+                }
+                else if (_style == RecraftStyle.realistic_image)
+                {
+                    usingSubstyle = _substyleRealistic.ToString();
+                }
+                else if (_style == RecraftStyle.vector_illustration)
+                {
+                    usingSubstyle = _substyleVector.ToString();
+                }
+                else
+                {
+                    throw new Exception("x");
+                }
+                return $"recraftv3\n{_style}\n{usingSubstyle}";
+            }
+            else
+            {
+                return $"{_name}";
+            }
+        }
         public RecraftGenerator(string apiKey, int maxConcurrency, RecraftImageSize size, RecraftStyle style, RecraftVectorIllustrationSubstyle? substyleVector, RecraftDigitalIllustrationSubstyle? substyleDigital, RecraftRealisticImageSubstyle? substyleRealistic, MultiClientRunStats stats, string name)
         {
             _recraftClient = new RecraftClient(apiKey);
@@ -101,7 +131,7 @@ public List<string> GetRightParts()
             return rightsideContents;
         }
 
-        public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails)
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
         {
             await _recraftSemaphore.WaitAsync();
             try
@@ -114,51 +144,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                     Logger.Log("Truncating the prompt for Recraft.");
                 }
 
-                //// Randomly select one of the three main styles
-                //if (_style == "any" || _style == "")
-                //{
-                //    var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
-                //    _style = styles[_Random.Next(styles.Count)].ToString();
-                //    Console.WriteLine($"set style to: {_style}");
-                //}
-
-                //// Based on chosen style, select appropriate substyle
-
-                //bool coinFlip = true;
-
-                //if (string.IsNullOrEmpty(_substyle))
-                //{
-                //    switch (_style)
-                //    {
-                //        case "digital_illustration":
-                //            var digitalStyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyles))
-                //                .Cast<RecraftDigitalIllustrationSubstyles>().ToList();
-                //            if (coinFlip)
-                //            {
-                //                _substyle = digitalStyles[_Random.Next(digitalStyles.Count)].ToString();
-                //            }
-                //            break;
-
-                //        case "realistic_image":
-                //            var realisticStyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyles))
-                //                .Cast<RecraftRealisticImageSubstyles>().ToList();
-                //            if (coinFlip)
-                //            {
-                //                _substyle = realisticStyles[_Random.Next(realisticStyles.Count)].ToString();
-                //            }
-                //            break;
-
-                //        case "vector_illustration":
-                //            var vectorStyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyles))
-                //                .Cast<RecraftVectorIllustrationSubstyles>().ToList();
-                //            if (coinFlip)
-                //            {
-                //                _substyle = vectorStyles[_Random.Next(vectorStyles.Count)].ToString();
-                //            }
-                //            break;
-                //    }
-                //    Console.WriteLine($"set substyle to: {_substyle}");
-                //}
+                
                 var usingSubstyle = "";
                 if (_style == RecraftStyle.digital_illustration)
                 {
@@ -177,6 +163,8 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
                     Console.WriteLine("err.");
                     usingSubstyle = "any";
                 }
+
+                usingSubstyle = Regex.Replace(usingSubstyle, @"^_([\d])", "$1");
                 var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, usingSubstyle, _style.ToString(), _imageSize);
                 Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
                 _stats.RecraftImageGenerationSuccessCount++;
@@ -187,6 +175,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
 
                 return new TaskProcessResult
                 {
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
                     IsSuccess = true,
                     Url = theUrl,
                     ContentType = contentType,
@@ -197,7 +186,11 @@ public async Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDeta
             catch (Exception ex)
             {
                 Logger.Log($"Recraft error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft };
+                var jsonPart = ex.Message.Split(" - ").Last().Trim();
+                
+                using var doc = JsonDocument.Parse(jsonPart);
+                var detailedError = doc.RootElement.GetProperty("code").GetString();
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = detailedError, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
             }
             finally
             {
diff --git a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
index 65fb00d..4fff77e 100644
--- a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
+++ b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
@@ -17,6 +17,7 @@ public class ClaudeRewriteStep : ITransformationStep
 
         public string Name => nameof(ClaudeRewriteStep);
 
+        /// you need to put the instructions to claude into the prefix and/or suffix.  generally things like "based on this idea, expand it quite a bit"
         public ClaudeRewriteStep(string prefix, string suffix, ClaudeService svc, decimal temperature, MultiClientRunStats stats)
         {
             _claudeService = svc;
@@ -28,7 +29,7 @@ public ClaudeRewriteStep(string prefix, string suffix, ClaudeService svc, decima
 
         public async Task<bool> DoTransformation(PromptDetails pd)
         {
-            var preparedClaudePrompt = $"{_prefix}\nHere is the topic:\n'{pd.Prompt}'\n{_suffix}".Trim();
+            var preparedClaudePrompt = $"{_prefix}\nHere is the topic:\n'{pd.Prompt}'\nPlease reply in a paragraph with no line breaks at all, just a single unified paragraph text.{_suffix}".Trim();
             var preparedClaudePromptWithTemp = $"temp={_temperature} {preparedClaudePrompt}";
             pd.ReplacePrompt(preparedClaudePrompt, preparedClaudePromptWithTemp, TransformationType.ClaudeRewriteRequest);
 
diff --git a/MultiImageClient/promptTransformation/IImageGenerator.cs b/MultiImageClient/promptTransformation/IImageGenerator.cs
index d22081b..003f599 100644
--- a/MultiImageClient/promptTransformation/IImageGenerator.cs
+++ b/MultiImageClient/promptTransformation/IImageGenerator.cs
@@ -17,13 +17,16 @@ namespace MultiImageClient
     /// </summary>
     public interface IImageGenerator
     {
-        public abstract Task<TaskProcessResult> ProcessPromptAsync(PromptDetails promptDetails);
+        public abstract Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails);
 
         /// when this jobspec is run, how should it be mapped to the filename?
         public abstract string GetFilenamePart(PromptDetails pd);
 
         /// return just the parts on the right, we know everything else.
         public abstract List<string> GetRightParts();
+
+        // This is yet another type of description of the generator. Not the filename, not the full details. And not the name... but why not? yes name if provided does supercede.  So if no name, default to something senseible to describe API/company/remote endpoint style + meaningful config options
+        public abstract string GetGeneratorSpecPart();
         
         /// I suppose we should tell/show users how much images cost.
         public abstract decimal GetCost();
diff --git a/RecraftAPI/RecraftDigitalIllustrationSubstyle.cs b/RecraftAPI/RecraftDigitalIllustrationSubstyle.cs
index a918937..c102f01 100644
--- a/RecraftAPI/RecraftDigitalIllustrationSubstyle.cs
+++ b/RecraftAPI/RecraftDigitalIllustrationSubstyle.cs
@@ -1,8 +1,12 @@
-namespace RecraftAPIClient
+using System.Runtime.Serialization;
+
+namespace RecraftAPIClient
 {
     public enum RecraftDigitalIllustrationSubstyle
     {
+        [EnumMember(Value = "2d_art_poster")]
         _2d_art_poster = 1,
+        [EnumMember(Value = "2d_art_poster_2")]
         _2d_art_poster_2 = 2,
         engraving_color = 3,
         grain = 4,

From 8e81d35ebe0df426925ab65ac25d46979b954409 Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Sat, 20 Sep 2025 18:09:00 -0700
Subject: [PATCH 40/78] recraft etc

---
 MultiImageClient/GeneratorGroups.cs | 226 ++++++++++++++--------------
 1 file changed, 113 insertions(+), 113 deletions(-)

diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index 3c66767..2c64489 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -1,113 +1,113 @@
-using IdeogramAPIClient;
-
-using OpenAI.Images;
-
-using RecraftAPIClient;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class GeneratorGroups
-    {
-        private Settings _settings;
-        private int _concurrency;
-        private MultiClientRunStats _stats;
-
-        public GeneratorGroups(Settings settings, int concurrency, MultiClientRunStats stats)
-        {
-            _settings = settings;
-            _concurrency = concurrency;
-            _stats = stats;
-        }
-        public IEnumerable<IImageGenerator> GetAll()
-        {
-            var dalle3 = new Dalle3Generator(_settings.OpenAIApiKey, _concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, _stats, "");
-            var recraft1 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.hard_comics, null, _stats, "");
-            var recraft2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
-            var recraft3 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, _stats, "");
-            var recraft4 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, _stats, "");
-            var recraft5 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.line_art, null, null, _stats, "");
-            var recraft6 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, _stats, "");
-            var recraft7 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
-            var recraft8 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.retro_realism, _stats, "");
-
-            var ideogram1 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, _stats, "");
-            var ideogram2 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, _stats, "");
-            var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A, _stats, "");
-            var ideogram4 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, _stats, "");
-            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
-            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024, _stats, "");
-            var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
-
-            var gptimage1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
-
-            //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
-            //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-            var myGenerators = new List<IImageGenerator>() { gptimage1, ideogram4, dalle3, recraft6, recraft5, recraft8, bfl1, bfl2, bfl3 };
-            return myGenerators;
-        }
-
-        public IEnumerable<IImageGenerator> GetAllStylesOfRecraft()
-        {
-            var res = new List<IImageGenerator>();
-            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
-            var lim = 4000;
-            foreach (var style in styles)
-            {
-                var ii = 0;
-                
-                if (style == RecraftStyle.digital_illustration)
-                {
-                    var substyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyle)).Cast<RecraftDigitalIllustrationSubstyle>();
-                    
-                    foreach (var substyle in substyles)
-                    {
-                        ii++;
-                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, substyle, null, _stats, $"");
-                        res.Add(gen);
-                        if (ii > lim) { break; }
-                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, substyle, null, _stats, $"");
-                        //res.Add(gen2);
-                    }
-                }
-                else if (style == RecraftStyle.realistic_image)
-                {
-                    var substyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyle)).Cast<RecraftRealisticImageSubstyle>().ToList();
-                    ii = 0;
-                    foreach (var substyle in substyles)
-                    {
-                        ii++;
-                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, null, substyle, _stats, $"");
-                        res.Add(gen);
-                        if (ii > lim) { break; }
-                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, null, substyle, _stats, $"");
-                        //res.Add(gen2);
-                    }
-                }
-                else if (style == RecraftStyle.vector_illustration)
-                {
-                    var substyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyle)).Cast<RecraftVectorIllustrationSubstyle>().ToList();
-                    ii = 0;
-                    foreach (var substyle in substyles)
-                    {
-                        ii++;
-                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, substyle, null, null, _stats, $"");
-                        res.Add(gen);
-                        if (ii > lim) { break; }
-                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, substyle, null, null, _stats, $"");
-                        //res.Add(gen2);
-                    }
-                }
-            }
-
-            return res;
-            
-        }
-
-    }
-}
+using IdeogramAPIClient;
+
+using OpenAI.Images;
+
+using RecraftAPIClient;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class GeneratorGroups
+    {
+        private Settings _settings;
+        private int _concurrency;
+        private MultiClientRunStats _stats;
+
+        public GeneratorGroups(Settings settings, int concurrency, MultiClientRunStats stats)
+        {
+            _settings = settings;
+            _concurrency = concurrency;
+            _stats = stats;
+        }
+        public IEnumerable<IImageGenerator> GetAll()
+        {
+            var dalle3 = new Dalle3Generator(_settings.OpenAIApiKey, _concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, _stats, "");
+            var recraft1 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.hard_comics, null, _stats, "");
+            var recraft2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
+            var recraft3 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, _stats, "");
+            var recraft4 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, _stats, "");
+            var recraft5 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.line_art, null, null, _stats, "");
+            var recraft6 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, _stats, "");
+            var recraft7 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
+            var recraft8 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.retro_realism, _stats, "");
+
+            var ideogram1 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, _stats, "");
+            var ideogram2 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, _stats, "");
+            var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A, _stats, "");
+            var ideogram4 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, _stats, "");
+            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
+            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024, _stats, "");
+            var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
+
+            var gptimage1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
+
+            //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
+            //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
+            var myGenerators = new List<IImageGenerator>() { gptimage1, ideogram4, dalle3, recraft6, recraft5, recraft8, bfl1, bfl2, bfl3 };
+            return myGenerators;
+        }
+
+        public IEnumerable<IImageGenerator> GetAllStylesOfRecraft()
+        {
+            var res = new List<IImageGenerator>();
+            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
+            var lim = 4000;
+            foreach (var style in styles)
+            {
+                var ii = 0;
+                
+                if (style == RecraftStyle.digital_illustration)
+                {
+                    var substyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyle)).Cast<RecraftDigitalIllustrationSubstyle>();
+                    
+                    foreach (var substyle in substyles)
+                    {
+                        ii++;
+                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, substyle, null, _stats, $"");
+                        res.Add(gen);
+                        if (ii > lim) { break; }
+                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, substyle, null, _stats, $"");
+                        //res.Add(gen2);
+                    }
+                }
+                else if (style == RecraftStyle.realistic_image)
+                {
+                    var substyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyle)).Cast<RecraftRealisticImageSubstyle>().ToList();
+                    ii = 0;
+                    foreach (var substyle in substyles)
+                    {
+                        ii++;
+                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, null, substyle, _stats, $"");
+                        res.Add(gen);
+                        if (ii > lim) { break; }
+                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, null, substyle, _stats, $"");
+                        //res.Add(gen2);
+                    }
+                }
+                else if (style == RecraftStyle.vector_illustration)
+                {
+                    var substyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyle)).Cast<RecraftVectorIllustrationSubstyle>().ToList();
+                    ii = 0;
+                    foreach (var substyle in substyles)
+                    {
+                        ii++;
+                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, substyle, null, null, _stats, $"");
+                        res.Add(gen);
+                        if (ii > lim) { break; }
+                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, substyle, null, null, _stats, $"");
+                        //res.Add(gen2);
+                    }
+                }
+            }
+
+            return res;
+            
+        }
+
+    }
+}

From 400e964551f6df95c4345ce74e195187cb5a276c Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Wed, 24 Sep 2025 10:08:22 -0700
Subject: [PATCH 41/78] little stuff

---
 ImageGenerationClasses/Settings.cs            |  1 +
 MultiImageClient/GeneratorGroups.cs           | 27 ++++++++++++-------
 .../Implementation/ImageSaving.cs             |  2 +-
 MultiImageClient/MultiImageClient.csproj      |  1 +
 MultiImageClient/Program.cs                   |  4 +--
 MultiImageClient/Services/BFLGenerator.cs     |  4 +--
 .../Services/GptImageOneGenerator.cs          |  2 ++
 MultiImageClient/Services/RecraftGenerator.cs | 27 ++++++++++++++-----
 RecraftAPI/RecraftClient.cs                   |  5 ++--
 Temp.txt                                      |  1 -
 10 files changed, 49 insertions(+), 25 deletions(-)
 delete mode 100644 Temp.txt

diff --git a/ImageGenerationClasses/Settings.cs b/ImageGenerationClasses/Settings.cs
index e4a82c9..52c6dd3 100644
--- a/ImageGenerationClasses/Settings.cs
+++ b/ImageGenerationClasses/Settings.cs
@@ -13,6 +13,7 @@ public class Settings
         public string BFLApiKey {get;set;}
         public string AnthropicApiKey{ get; set; }
         public string RecraftApiKey { get; set; }
+        public string GoogleGeminiApiKey { get; set; }
         public string LoadPromptsFrom { get; set; }
         public bool EnableLogging { get; set; }
         public string LogFilePath { get; set; }
diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index 2c64489..e69fb80 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -7,8 +7,13 @@
 using System;
 using System.Collections.Generic;
 using System.Linq;
+using System.Net.Http;
+using System.Runtime.InteropServices.JavaScript;
+using System.Security.Cryptography.X509Certificates;
 using System.Text;
+using System.Threading;
 using System.Threading.Tasks;
+using System.Xml.Linq;
 
 namespace MultiImageClient
 {
@@ -34,21 +39,23 @@ public IEnumerable<IImageGenerator> GetAll()
             var recraft5 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.line_art, null, null, _stats, "");
             var recraft6 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, _stats, "");
             var recraft7 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
-            var recraft8 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.retro_realism, _stats, "");
+            var recraft8 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.organic_calm, _stats, "");
+            var recraft9 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.organic_calm, _stats, "", "5");
 
             var ideogram1 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, _stats, "");
             var ideogram2 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, _stats, "");
-            var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A, _stats, "");
+            var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2A, _stats, "");
             var ideogram4 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, _stats, "");
-            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
+            //var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
             var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024, _stats, "");
-            var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
+            var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", true, 1024, 1024, _stats, "");
 
-            var gptimage1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
+            var gptimage1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
+            var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.auto, _stats, "");
 
             //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-            var myGenerators = new List<IImageGenerator>() { gptimage1, ideogram4, dalle3, recraft6, recraft5, recraft8, bfl1, bfl2, bfl3 };
+            var myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, ideogram4, ideogram3, dalle3, bfl2, bfl3, recraft8, recraft9 };
             return myGenerators;
         }
 
@@ -56,15 +63,15 @@ public IEnumerable<IImageGenerator> GetAllStylesOfRecraft()
         {
             var res = new List<IImageGenerator>();
             var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
-            var lim = 4000;
+            var lim = 5;
             foreach (var style in styles)
             {
                 var ii = 0;
-                
+
                 if (style == RecraftStyle.digital_illustration)
                 {
                     var substyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyle)).Cast<RecraftDigitalIllustrationSubstyle>();
-                    
+
                     foreach (var substyle in substyles)
                     {
                         ii++;
@@ -106,7 +113,7 @@ public IEnumerable<IImageGenerator> GetAllStylesOfRecraft()
             }
 
             return res;
-            
+
         }
 
     }
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 838c810..5c1a7f0 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -318,7 +318,7 @@ public static async Task<string> CombineImagesHorizontallyAsync(IEnumerable<Task
 
                     var labelColor = li.Success ? UIConstants.SuccessGreen
                                                 : UIConstants.ErrorRed;
-                    var labelText = li.OriginalTaskProcessResult.ImageGeneratorDescription;
+                    var labelText = li.OriginalTaskProcessResult.ImageGeneratorDescription ?? "missing";
                     ctx.DrawTextStandard(labelOpts, labelText, labelColor);
 
                     currentX += li.Width;
diff --git a/MultiImageClient/MultiImageClient.csproj b/MultiImageClient/MultiImageClient.csproj
index 88c84e9..8dba907 100644
--- a/MultiImageClient/MultiImageClient.csproj
+++ b/MultiImageClient/MultiImageClient.csproj
@@ -19,6 +19,7 @@
 
   <ItemGroup>
     <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
+    <PackageReference Include="Google_GenerativeAI" Version="3.2.0" />
     <PackageReference Include="LLamaSharp" Version="0.17.0" />
     <PackageReference Include="LLamaSharp.Backend.Cuda12" Version="0.16.0" />
     <PackageReference Include="Magick.NET-Q16-AnyCPU" Version="14.8.2" />
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index b28012e..2dda6e3 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -67,8 +67,8 @@ static async Task Main(string[] args)
             var imageManager = new ImageManager(settings, stats);
 
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
-            //var generators = getter.GetAll();
-            var generators = getter.GetAllStylesOfRecraft();
+            var generators = getter.GetAll();
+            //var generators = getter.GetAllStylesOfRecraft();
 
 
             var allTasks = new List<Task>();
diff --git a/MultiImageClient/Services/BFLGenerator.cs b/MultiImageClient/Services/BFLGenerator.cs
index 10aeb68..273c8f5 100644
--- a/MultiImageClient/Services/BFLGenerator.cs
+++ b/MultiImageClient/Services/BFLGenerator.cs
@@ -189,14 +189,14 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
 
                     var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, generationResponse.Result.Sample));
                     var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-                    return new TaskProcessResult { IsSuccess = true, Url = generationResponse.Result.Sample, ContentType = contentType, PromptDetails = promptDetails, ImageGenerator = _apiType };
+                    return new TaskProcessResult { IsSuccess = true, Url = generationResponse.Result.Sample, ContentType = contentType, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), PromptDetails = promptDetails, ImageGenerator = _apiType };
                 }
 
             }
             catch (Exception ex)
             {
                 Logger.Log($"{promptDetails} BFL error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.BFLv11 };
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), ImageGenerator = ImageGeneratorApiType.BFLv11 };
             }
             finally
             {
diff --git a/MultiImageClient/Services/GptImageOneGenerator.cs b/MultiImageClient/Services/GptImageOneGenerator.cs
index 6408dd9..a786a7b 100644
--- a/MultiImageClient/Services/GptImageOneGenerator.cs
+++ b/MultiImageClient/Services/GptImageOneGenerator.cs
@@ -85,6 +85,8 @@ public decimal GetCost()
                         return 0.04224m;
                     case OpenAIGPTImageOneQuality.high:
                         return 0.1664m;
+                    case OpenAIGPTImageOneQuality.auto:
+                        return 99.9999m; //strange, not clear how payment works for auto.  This 99.99$ is not real
                     default:
                         throw new Exception("Swe");
                 }
diff --git a/MultiImageClient/Services/RecraftGenerator.cs b/MultiImageClient/Services/RecraftGenerator.cs
index dcf400a..aacd180 100644
--- a/MultiImageClient/Services/RecraftGenerator.cs
+++ b/MultiImageClient/Services/RecraftGenerator.cs
@@ -29,6 +29,7 @@ public class RecraftGenerator : IImageGenerator
         private RecraftDigitalIllustrationSubstyle? _substyleDigital;
         private RecraftRealisticImageSubstyle? _substyleRealistic;
         private RecraftImageSize _imageSize;
+        private string _artistic_level;
         private string _name;
 
         public string GetGeneratorSpecPart()
@@ -52,18 +53,27 @@ public string GetGeneratorSpecPart()
                 {
                     throw new Exception("x");
                 }
-                return $"recraftv3\n{_style}\n{usingSubstyle}";
+                var alpart = "";
+                if (_artistic_level != "0")
+                {
+                    alpart = $"\nartistic level {_artistic_level}";
+                }
+                return $"recraftv3\n{_style}\n{usingSubstyle}{alpart}";
             }
             else
             {
                 return $"{_name}";
             }
         }
-        public RecraftGenerator(string apiKey, int maxConcurrency, RecraftImageSize size, RecraftStyle style, RecraftVectorIllustrationSubstyle? substyleVector, RecraftDigitalIllustrationSubstyle? substyleDigital, RecraftRealisticImageSubstyle? substyleRealistic, MultiClientRunStats stats, string name)
+
+        public RecraftGenerator(string apiKey, int maxConcurrency, RecraftImageSize size, RecraftStyle style, RecraftVectorIllustrationSubstyle? substyleVector, RecraftDigitalIllustrationSubstyle? substyleDigital, RecraftRealisticImageSubstyle? substyleRealistic, MultiClientRunStats stats, string name, string artistic_level = "")
         {
             _recraftClient = new RecraftClient(apiKey);
             _recraftSemaphore = new SemaphoreSlim(maxConcurrency);
             _httpClient = new HttpClient();
+            _artistic_level = artistic_level.ToString() ?? "";
+            // so actually, ""
+
 
             // we probably could use some validation here.
             _style = style;
@@ -126,8 +136,13 @@ public List<string> GetRightParts()
             {
                 usingSubstyle = _substyleVector.ToString();
             }
+            var alpart = "";
+            if (!string.IsNullOrEmpty(_artistic_level))
+            {
+                alpart = $"artistic level {_artistic_level}";
+            }
 
-            var rightsideContents = new List<string>() { "recraft_v3", _name, _style.ToString(), usingSubstyle};
+            var rightsideContents = new List<string>() { "recraft_v3", _name, _style.ToString(), usingSubstyle, alpart };
             return rightsideContents;
         }
 
@@ -144,7 +159,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                     Logger.Log("Truncating the prompt for Recraft.");
                 }
 
-                
+
                 var usingSubstyle = "";
                 if (_style == RecraftStyle.digital_illustration)
                 {
@@ -165,7 +180,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 }
 
                 usingSubstyle = Regex.Replace(usingSubstyle, @"^_([\d])", "$1");
-                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, usingSubstyle, _style.ToString(), _imageSize);
+                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, _artistic_level, usingSubstyle, _style.ToString(), _imageSize);
                 Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
                 _stats.RecraftImageGenerationSuccessCount++;
                 var theUrl = generationResult.Data[0].Url;
@@ -187,7 +202,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
             {
                 Logger.Log($"Recraft error: {ex.Message}");
                 var jsonPart = ex.Message.Split(" - ").Last().Trim();
-                
+
                 using var doc = JsonDocument.Parse(jsonPart);
                 var detailedError = doc.RootElement.GetProperty("code").GetString();
                 return new TaskProcessResult { IsSuccess = false, ErrorMessage = detailedError, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
diff --git a/RecraftAPI/RecraftClient.cs b/RecraftAPI/RecraftClient.cs
index f7d816b..1007249 100644
--- a/RecraftAPI/RecraftClient.cs
+++ b/RecraftAPI/RecraftClient.cs
@@ -17,11 +17,9 @@ public RecraftClient(string apiKey)
         }
 
 
-        public async Task<GenerationResponse> GenerateImageAsync(string prompt, string substyle, string style, RecraftImageSize size)
+        public async Task<GenerationResponse> GenerateImageAsync(string prompt, string artistic_level, string substyle, string style, RecraftImageSize size)
         {
             var stringSubstyle = "";
-
-
             string serialized = "";
             
 
@@ -41,6 +39,7 @@ public async Task<GenerationResponse> GenerateImageAsync(string prompt, string s
                 {
                     prompt,
                     model = "recraftv3",
+                    artistic_level = artistic_level,
                     style = style,
                     substyle = substyle,
                     size = size.ToString().TrimStart('_'),
diff --git a/Temp.txt b/Temp.txt
deleted file mode 100644
index 5f28270..0000000
--- a/Temp.txt
+++ /dev/null
@@ -1 +0,0 @@
-
\ No newline at end of file

From 3fe87cb6562c1dd35a3ada04e66d4fa2c83bd64c Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Wed, 24 Sep 2025 17:42:09 -0700
Subject: [PATCH 42/78] preparing goog?

---
 .../Enums/GeneratorApiTypeExtensions.cs       |   1 +
 .../Enums/ImageGeneratorApiType.cs            |   1 +
 MultiImageClient/GeneratorGroups.cs           |   5 +
 .../Implementation/MultiClientRunStats.cs     |  18 +-
 MultiImageClient/Services/Dalle3Generator.cs  |   1 -
 MultiImageClient/Services/GoogleGenerator.cs  | 213 ++++++++++++++++++
 .../promptTransformation/IImageGenerator.cs   |   9 +-
 7 files changed, 239 insertions(+), 9 deletions(-)
 create mode 100644 MultiImageClient/Services/GoogleGenerator.cs

diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index 61875f0..b94332c 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -18,6 +18,7 @@ public static string GetFileExtension(this ImageGeneratorApiType generator)
                 ImageGeneratorApiType.Dalle3 => ".png",
                 ImageGeneratorApiType.Recraft => ".png", //actually, I should use the value read from head since it sometimes shows up as .svg.
                 ImageGeneratorApiType.GptImage1 => ".png",
+                ImageGeneratorApiType.GoogleGemini => ".png",
                 _ => throw new ArgumentException("Unknown image generator type while picking file extension:", nameof(generator))
             };
         }
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 9c54fdd..0222736 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -11,5 +11,6 @@ public enum ImageGeneratorApiType
         Recraft = 5,
         GptImage1 = 6, 
         BFLv11Ultra = 7,
+        GoogleGemini = 8,
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index e69fb80..6aa39bb 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -53,8 +53,13 @@ public IEnumerable<IImageGenerator> GetAll()
             var gptimage1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
             var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.auto, _stats, "");
 
+            //var google_nano = new GoogleGenerator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "nano-banana", "gemini-2.5-flash-image");
+            //var google_flash = new GoogleGenerator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "flash", "gemini-1.5-flash");
+
             //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
+
+            // Using other working generators instead
             var myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, ideogram4, ideogram3, dalle3, bfl2, bfl3, recraft8, recraft9 };
             return myGenerators;
         }
diff --git a/MultiImageClient/Implementation/MultiClientRunStats.cs b/MultiImageClient/Implementation/MultiClientRunStats.cs
index fd26f75..670fa5b 100644
--- a/MultiImageClient/Implementation/MultiClientRunStats.cs
+++ b/MultiImageClient/Implementation/MultiClientRunStats.cs
@@ -31,6 +31,9 @@ public class MultiClientRunStats
         public int RecraftImageGenerationSuccessCount { get; set; }
         public int RecraftImageGenerationErrorCount { get; set; }
 
+        public int GoogleRequestCount { get; set; }
+        public int GoogleRefusedCount { get; set; }
+
         public void PrintStats()
         {
             var nonZeroStats = new List<string>();
@@ -57,17 +60,22 @@ public void PrintStats()
             if (Dalle3RequestCount > 0)
                 nonZeroStats.Add($"Dalle3 Requests:{Dalle3RequestCount}");
             if (Dalle3RefusedCount > 0)
-                nonZeroStats.Add($"Dalle3 Requests:{Dalle3RefusedCount}");
+                nonZeroStats.Add($"Dalle3 Refused:{Dalle3RefusedCount}");
 
             if (GptImageOneRequestCount > 0)
-                nonZeroStats.Add($"Dalle3 Requests:{GptImageOneRequestCount}");
+                nonZeroStats.Add($"GPT Image One Requests:{GptImageOneRequestCount}");
             if (GptImageOneRefusedCount > 0)
-                nonZeroStats.Add($"Dalle3 Requests:{GptImageOneRefusedCount}");
+                nonZeroStats.Add($"GPT Image One Refused:{GptImageOneRefusedCount}");
+
+            if (GoogleRequestCount > 0)
+                nonZeroStats.Add($"Google Requests:{GoogleRequestCount}");
+            if (GoogleRefusedCount > 0)
+                nonZeroStats.Add($"Google Refused:{GoogleRefusedCount}");
 
-            if (BFLImageGenerationRequestCount > 0 | BFLImageGenerationErrorCount>0 | BFLImageGenerationRequestCount > 0)
+            if (BFLImageGenerationRequestCount > 0 | BFLImageGenerationErrorCount > 0 | BFLImageGenerationSuccessCount > 0)
                 nonZeroStats.Add($"BFL: total:{BFLImageGenerationRequestCount}, ok:{BFLImageGenerationSuccessCount}, bad:{BFLImageGenerationErrorCount} ");
 
-            if (RecraftImageGenerationRequestCount > 0 | RecraftImageGenerationErrorCount > 0 | RecraftImageGenerationRequestCount > 0)
+            if (RecraftImageGenerationRequestCount > 0 | RecraftImageGenerationErrorCount > 0 | RecraftImageGenerationSuccessCount > 0)
                 nonZeroStats.Add($"Recraft: total:{RecraftImageGenerationRequestCount}, ok:{RecraftImageGenerationSuccessCount}, bad:{RecraftImageGenerationErrorCount} ");
 
             var res = $"Stats: {string.Join(", ", nonZeroStats)}";
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/Services/Dalle3Generator.cs
index fb419b7..8c11599 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -9,7 +9,6 @@
 
 namespace MultiImageClient
 {
-
     public class Dalle3Generator : IImageGenerator
     {
         private SemaphoreSlim _dalle3Semaphore;
diff --git a/MultiImageClient/Services/GoogleGenerator.cs b/MultiImageClient/Services/GoogleGenerator.cs
new file mode 100644
index 0000000..b572ba5
--- /dev/null
+++ b/MultiImageClient/Services/GoogleGenerator.cs
@@ -0,0 +1,213 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Net.Http;
+using System.Text;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class GoogleGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _googleSemaphore;
+        private HttpClient _httpClient;
+        private string _apiKey;
+        private MultiClientRunStats _stats;
+        private string _name;
+        private string _model;
+
+        public GoogleGenerator(string apiKey, int maxConcurrency,
+            MultiClientRunStats stats, string name = "", string model = "gemini-2.5-flash-image")
+        {
+            _apiKey = apiKey;
+            _googleSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _stats = stats;
+            _model = model;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var modelPart = _model.Replace("gemini-", "").Replace("-", "");
+            var namePart = string.IsNullOrEmpty(_name) ? "" : $"-{_name}";
+            return $"google-{modelPart}{namePart}";
+        }
+
+        public decimal GetCost()
+        {
+            // Based on Google's pricing: approximately $0.039 per image for Gemini 2.5 Flash Image
+            return 0.039m;
+        }
+
+        public List<string> GetRightParts()
+        {
+            var modelPart = _model.Replace("gemini-", "").Replace("-", "");
+            var namePart = string.IsNullOrEmpty(_name) ? "" : _name;
+            return new List<string> { "google", modelPart, namePart };
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"google-{_model.Replace("gemini-", "").Replace("-", "")}";
+            }
+            else
+            {
+                return _name;
+            }
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _googleSemaphore.WaitAsync();
+            try
+            {
+                _stats.GoogleRequestCount++;
+
+                // Google Gemini API endpoint for image generation
+                var apiUrl = $"https://generativelanguage.googleapis.com/v1/models/{_model}:generateContent?key={_apiKey}";
+
+                var requestBody = new
+                {
+                    contents = new[]
+                    {
+                        new
+                        {
+                            parts = new[]
+                            {
+                                new
+                                {
+                                    text = promptDetails.Prompt
+                                }
+                            }
+                        }
+                    },
+                    generationConfig = new
+                    {
+                        temperature = 0.7,
+                        maxOutputTokens = 8192
+                    }
+                };
+
+                var json = JsonSerializer.Serialize(requestBody);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                var response = await _httpClient.PostAsync(apiUrl, content);
+                var responseContent = await response.Content.ReadAsStringAsync();
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var errorMessage = $"Google API error: {response.StatusCode} - {responseContent}";
+                    return new TaskProcessResult 
+                    { 
+                        IsSuccess = false, 
+                        ErrorMessage = errorMessage, 
+                        PromptDetails = promptDetails, 
+                        ImageGenerator = ImageGeneratorApiType.GoogleGemini, 
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                    };
+                }
+
+                var responseData = JsonSerializer.Deserialize<GoogleGeminiResponse>(responseContent);
+                
+                if (responseData?.candidates?.Length > 0 && 
+                    responseData.candidates[0]?.content?.parts?.Length > 0)
+                {
+                    var part = responseData.candidates[0].content.parts[0];
+                    
+                    if (!string.IsNullOrEmpty(part.inline_data?.data))
+                    {
+                        // Image returned as base64 data
+                        var base64Images = new List<string> { part.inline_data.data };
+                        return new TaskProcessResult 
+                        { 
+                            IsSuccess = true, 
+                            Base64ImageDatas = base64Images,
+                            ContentType = part.inline_data.mime_type ?? "image/png",
+                            ErrorMessage = "", 
+                            PromptDetails = promptDetails, 
+                            ImageGenerator = ImageGeneratorApiType.GoogleGemini, 
+                            ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                        };
+                    }
+                    else if (!string.IsNullOrEmpty(part.text))
+                    {
+                        // Sometimes the API returns a URL or other text response
+                        var errorMessage = $"Google Gemini returned text instead of image: {part.text}";
+                        return new TaskProcessResult 
+                        { 
+                            IsSuccess = false, 
+                            ErrorMessage = errorMessage, 
+                            PromptDetails = promptDetails, 
+                            ImageGenerator = ImageGeneratorApiType.GoogleGemini, 
+                            ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                        };
+                    }
+                }
+
+                return new TaskProcessResult 
+                { 
+                    IsSuccess = false, 
+                    ErrorMessage = "No image data returned from Google Gemini API", 
+                    PromptDetails = promptDetails, 
+                    ImageGenerator = ImageGeneratorApiType.GoogleGemini, 
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                };
+            }
+            catch (Exception ex)
+            {
+                var errorMessage = $"Google Generator error: {ex.Message}";
+                return new TaskProcessResult 
+                { 
+                    IsSuccess = false, 
+                    ErrorMessage = errorMessage, 
+                    PromptDetails = promptDetails, 
+                    ImageGenerator = ImageGeneratorApiType.GoogleGemini, 
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                };
+            }
+            finally
+            {
+                _googleSemaphore.Release();
+            }
+        }
+
+        public void Dispose()
+        {
+            _httpClient?.Dispose();
+            _googleSemaphore?.Dispose();
+        }
+    }
+
+    // Response models for Google Gemini API
+    public class GoogleGeminiResponse
+    {
+        public GoogleGeminiCandidate[] candidates { get; set; }
+    }
+
+    public class GoogleGeminiCandidate
+    {
+        public GoogleGeminiContent content { get; set; }
+    }
+
+    public class GoogleGeminiContent
+    {
+        public GoogleGeminiPart[] parts { get; set; }
+    }
+
+    public class GoogleGeminiPart
+    {
+        public string text { get; set; }
+        public GoogleGeminiInlineData inline_data { get; set; }
+    }
+
+    public class GoogleGeminiInlineData
+    {
+        public string mime_type { get; set; }
+        public string data { get; set; }
+    }
+}
\ No newline at end of file
diff --git a/MultiImageClient/promptTransformation/IImageGenerator.cs b/MultiImageClient/promptTransformation/IImageGenerator.cs
index 003f599..44d0c57 100644
--- a/MultiImageClient/promptTransformation/IImageGenerator.cs
+++ b/MultiImageClient/promptTransformation/IImageGenerator.cs
@@ -17,9 +17,7 @@ namespace MultiImageClient
     /// </summary>
     public interface IImageGenerator
     {
-        public abstract Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails);
-
-        /// when this jobspec is run, how should it be mapped to the filename?
+        
         public abstract string GetFilenamePart(PromptDetails pd);
 
         /// return just the parts on the right, we know everything else.
@@ -30,5 +28,10 @@ public interface IImageGenerator
         
         /// I suppose we should tell/show users how much images cost.
         public abstract decimal GetCost();
+
+        public abstract Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails);
+
+        /// when this jobspec is run, how should it be mapped to the filename?
     }
 }
+

From dd1bc78f479879fee3eb86d11b31b46182397449 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Wed, 24 Sep 2025 18:26:30 -0700
Subject: [PATCH 43/78] nanoBanana working

---
 .../Enums/GeneratorApiTypeExtensions.cs       |   3 +-
 .../Enums/ImageGeneratorApiType.cs            |   3 +-
 MultiImageClient/GeneratorGroups.cs           |   6 +-
 MultiImageClient/Services/GoogleGenerator.cs  | 152 +++++++++---------
 ...settings - Fill this in and rename it.json |   1 +
 5 files changed, 89 insertions(+), 76 deletions(-)

diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index b94332c..5f89281 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -18,7 +18,8 @@ public static string GetFileExtension(this ImageGeneratorApiType generator)
                 ImageGeneratorApiType.Dalle3 => ".png",
                 ImageGeneratorApiType.Recraft => ".png", //actually, I should use the value read from head since it sometimes shows up as .svg.
                 ImageGeneratorApiType.GptImage1 => ".png",
-                ImageGeneratorApiType.GoogleGemini => ".png",
+                ImageGeneratorApiType.GoogleNanoBanana => ".png",
+                ImageGeneratorApiType.GoogleImagen4 => ".png",
                 _ => throw new ArgumentException("Unknown image generator type while picking file extension:", nameof(generator))
             };
         }
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 0222736..afc2151 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -11,6 +11,7 @@ public enum ImageGeneratorApiType
         Recraft = 5,
         GptImage1 = 6, 
         BFLv11Ultra = 7,
-        GoogleGemini = 8,
+        GoogleNanoBanana = 8,
+        GoogleImagen4 = 9,
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index 6aa39bb..aecfb84 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -60,7 +60,11 @@ public IEnumerable<IImageGenerator> GetAll()
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
 
             // Using other working generators instead
-            var myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, ideogram4, ideogram3, dalle3, bfl2, bfl3, recraft8, recraft9 };
+            //var myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, ideogram4, ideogram3, dalle3, bfl2, bfl3, recraft8, recraft9 };
+            var goog1 = new GoogleGenerator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "nano-banana", "gemini-2.5-flash-image-preview");
+            var goog3 = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "imagen-4");
+            var myGenerators = new List<IImageGenerator>() { goog3 };
+                //goog2, goog3 };
             return myGenerators;
         }
 
diff --git a/MultiImageClient/Services/GoogleGenerator.cs b/MultiImageClient/Services/GoogleGenerator.cs
index b572ba5..18fa19e 100644
--- a/MultiImageClient/Services/GoogleGenerator.cs
+++ b/MultiImageClient/Services/GoogleGenerator.cs
@@ -19,7 +19,7 @@ public class GoogleGenerator : IImageGenerator
         private string _model;
 
         public GoogleGenerator(string apiKey, int maxConcurrency,
-            MultiClientRunStats stats, string name = "", string model = "gemini-2.5-flash-image")
+            MultiClientRunStats stats, string name = "", string model)
         {
             _apiKey = apiKey;
             _googleSemaphore = new SemaphoreSlim(maxConcurrency);
@@ -27,33 +27,47 @@ public GoogleGenerator(string apiKey, int maxConcurrency,
             _name = string.IsNullOrEmpty(name) ? "" : name;
             _stats = stats;
             _model = model;
+
+            // Debug: Check if API key is properly set
+            if (string.IsNullOrWhiteSpace(_apiKey))
+            {
+                Console.WriteLine("WARNING: Google Gemini API key is null or empty!");
+            }
         }
 
         public string GetFilenamePart(PromptDetails pd)
         {
-            var modelPart = _model.Replace("gemini-", "").Replace("-", "");
-            var namePart = string.IsNullOrEmpty(_name) ? "" : $"-{_name}";
-            return $"google-{modelPart}{namePart}";
+            return $"google-{_model}";
         }
 
         public decimal GetCost()
         {
-            // Based on Google's pricing: approximately $0.039 per image for Gemini 2.5 Flash Image
-            return 0.039m;
+            // Gemini 2.5 Flash Image uses token-based pricing
+            // $30 per 1 million tokens for image output (1290 tokens per image up to 1024x1024px)
+            if (_model == "gemini-2.5-flash-image-preview" || _model == "gemini-2.5-flash-image")
+            {
+                return (30m / 1000000m) * 1290m; // $0.0387 per image
+            }
+            else if (_model == "imagen-4.0-generate-001")
+            {
+                return 0.04m;
+            }
+            else
+            {
+                throw new Exception("E");
+            }
         }
 
         public List<string> GetRightParts()
         {
-            var modelPart = _model.Replace("gemini-", "").Replace("-", "");
-            var namePart = string.IsNullOrEmpty(_name) ? "" : _name;
-            return new List<string> { "google", modelPart, namePart };
+            return new List<string> { _model };
         }
 
         public string GetGeneratorSpecPart()
         {
             if (string.IsNullOrEmpty(_name))
             {
-                return $"google-{_model.Replace("gemini-", "").Replace("-", "")}";
+                return $"google-{_model.Replace("imagen-", "").Replace("gemini-", "").Replace("-", "")}";
             }
             else
             {
@@ -68,8 +82,8 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
             {
                 _stats.GoogleRequestCount++;
 
-                // Google Gemini API endpoint for image generation
-                var apiUrl = $"https://generativelanguage.googleapis.com/v1/models/{_model}:generateContent?key={_apiKey}";
+                // Google Gemini API endpoint for native image generation (Nano Banana)
+                var apiUrl = $"https://generativelanguage.googleapis.com/v1beta/models/{_model}:generateContent";
 
                 var requestBody = new
                 {
@@ -79,71 +93,80 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                         {
                             parts = new[]
                             {
-                                new
-                                {
-                                    text = promptDetails.Prompt
-                                }
+                                new { text = promptDetails.Prompt }
                             }
                         }
                     },
                     generationConfig = new
                     {
-                        temperature = 0.7,
-                        maxOutputTokens = 8192
+                        responseModalities = new[] { "TEXT", "IMAGE" }
                     }
                 };
 
                 var json = JsonSerializer.Serialize(requestBody);
                 var content = new StringContent(json, Encoding.UTF8, "application/json");
 
-                var response = await _httpClient.PostAsync(apiUrl, content);
+                // Set API key in header as required by Gemini API
+                var request = new HttpRequestMessage(HttpMethod.Post, apiUrl)
+                {
+                    Content = content
+                };
+                request.Headers.Add("x-goog-api-key", _apiKey);
+
+              
+                var response = await _httpClient.SendAsync(request);
                 var responseContent = await response.Content.ReadAsStringAsync();
 
                 if (!response.IsSuccessStatusCode)
                 {
-                    var errorMessage = $"Google API error: {response.StatusCode} - {responseContent}";
+                    var errorMessage = $"Google Gemini API error: {response.StatusCode} - {responseContent}";
                     return new TaskProcessResult 
                     { 
                         IsSuccess = false, 
                         ErrorMessage = errorMessage, 
                         PromptDetails = promptDetails, 
-                        ImageGenerator = ImageGeneratorApiType.GoogleGemini, 
+                        ImageGenerator = GetImageGeneratorType(), 
                         ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
                     };
                 }
 
-                var responseData = JsonSerializer.Deserialize<GoogleGeminiResponse>(responseContent);
+                // Parse Gemini native image generation response
+                var responseData = JsonSerializer.Deserialize<GeminiGenerateContentResponse>(responseContent);
                 
-                if (responseData?.candidates?.Length > 0 && 
-                    responseData.candidates[0]?.content?.parts?.Length > 0)
+                if (responseData?.candidates?.Length > 0)
                 {
-                    var part = responseData.candidates[0].content.parts[0];
+                    var base64Images = new List<string>();
+                    
+                    foreach (var candidate in responseData.candidates)
+                    {
+                        if (candidate?.content?.parts != null)
+                        {
+                            foreach (var part in candidate.content.parts)
+                            {
+                                // Check for image data in inline_data
+                                if (part.inlineData != null && !string.IsNullOrEmpty(part.inlineData.data))
+                                {
+                                    base64Images.Add(part.inlineData.data);
+                                }
+                                // Log any text responses for debugging
+                                else if (!string.IsNullOrEmpty(part.text))
+                                {
+                                    Console.WriteLine($"Gemini text response: {part.text}");
+                                }
+                            }
+                        }
+                    }
                     
-                    if (!string.IsNullOrEmpty(part.inline_data?.data))
+                    if (base64Images.Count > 0)
                     {
-                        // Image returned as base64 data
-                        var base64Images = new List<string> { part.inline_data.data };
                         return new TaskProcessResult 
                         { 
                             IsSuccess = true, 
                             Base64ImageDatas = base64Images,
-                            ContentType = part.inline_data.mime_type ?? "image/png",
+                            ContentType = "image/png",
                             ErrorMessage = "", 
                             PromptDetails = promptDetails, 
-                            ImageGenerator = ImageGeneratorApiType.GoogleGemini, 
-                            ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
-                        };
-                    }
-                    else if (!string.IsNullOrEmpty(part.text))
-                    {
-                        // Sometimes the API returns a URL or other text response
-                        var errorMessage = $"Google Gemini returned text instead of image: {part.text}";
-                        return new TaskProcessResult 
-                        { 
-                            IsSuccess = false, 
-                            ErrorMessage = errorMessage, 
-                            PromptDetails = promptDetails, 
-                            ImageGenerator = ImageGeneratorApiType.GoogleGemini, 
+                            ImageGenerator = GetImageGeneratorType(), 
                             ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
                         };
                     }
@@ -154,19 +177,19 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                     IsSuccess = false, 
                     ErrorMessage = "No image data returned from Google Gemini API", 
                     PromptDetails = promptDetails, 
-                    ImageGenerator = ImageGeneratorApiType.GoogleGemini, 
+                    ImageGenerator = GetImageGeneratorType(), 
                     ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
                 };
             }
             catch (Exception ex)
             {
-                var errorMessage = $"Google Generator error: {ex.Message}";
+                var errorMessage = $"Google Imagen Generator error: {ex.Message}";
                 return new TaskProcessResult 
                 { 
                     IsSuccess = false, 
                     ErrorMessage = errorMessage, 
                     PromptDetails = promptDetails, 
-                    ImageGenerator = ImageGeneratorApiType.GoogleGemini, 
+                    ImageGenerator = GetImageGeneratorType(), 
                     ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
                 };
             }
@@ -176,6 +199,16 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
             }
         }
 
+        private ImageGeneratorApiType GetImageGeneratorType()
+        {
+            if (_model.Contains("gemini-2.5-flash-image"))
+                return ImageGeneratorApiType.GoogleNanoBanana; // Gemini native image generation
+            else if (_model.Contains("imagen-4"))
+                return ImageGeneratorApiType.GoogleImagen4;
+            else
+                throw new Exception("E");
+        }
+
         public void Dispose()
         {
             _httpClient?.Dispose();
@@ -183,31 +216,4 @@ public void Dispose()
         }
     }
 
-    // Response models for Google Gemini API
-    public class GoogleGeminiResponse
-    {
-        public GoogleGeminiCandidate[] candidates { get; set; }
-    }
-
-    public class GoogleGeminiCandidate
-    {
-        public GoogleGeminiContent content { get; set; }
-    }
-
-    public class GoogleGeminiContent
-    {
-        public GoogleGeminiPart[] parts { get; set; }
-    }
-
-    public class GoogleGeminiPart
-    {
-        public string text { get; set; }
-        public GoogleGeminiInlineData inline_data { get; set; }
-    }
-
-    public class GoogleGeminiInlineData
-    {
-        public string mime_type { get; set; }
-        public string data { get; set; }
-    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/settings - Fill this in and rename it.json b/MultiImageClient/settings - Fill this in and rename it.json
index d1ae184..40d6042 100644
--- a/MultiImageClient/settings - Fill this in and rename it.json	
+++ b/MultiImageClient/settings - Fill this in and rename it.json	
@@ -4,6 +4,7 @@
   "OpenAIApiKey": "Optional: Fill in the OpenAI key here: from https://platform.openai.com/api-keys which you have to pay for",
   "BFLApiKey": "Optional: Fill in the BFL key here: from https://beta.bigfriendly.com/ which you have to pay for",
   "AnthropicApiKey": "Optionally: fill in the anthropic key here.  from https://console.anthropic.com/settings/keys which you have to pay for",
+  "GoogleGeminiApiKey": "FILL IN YOUR GOOGLE GEMINI API KEY HERE from https://ai.google.dev/gemini-api/docs/api-key which you have to pay for",
   "ImageDownloadBaseFolder": "D:\\proj\\IdeogramAPI\\ideogramSaves",
   "LogFilePath": "D:\\proj\\IdeogramAPI\\ideogram.log",
   "SaveJsonLog": true,

From ebbe9449185d0c600aa489f621a1b0974f72de98 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Wed, 24 Sep 2025 19:31:06 -0700
Subject: [PATCH 44/78] Fighting with Imagen 4

---
 IdeogramAPI/.gitignore                        |   2 +-
 ImageGenerationClasses/Settings.cs            |  27 ++-
 MultiImageClient/GeneratorGroups.cs           |   8 +-
 MultiImageClient/MultiImageClient.csproj      |   2 +
 MultiImageClient/Services/GoogleGenerator.cs  |  34 ++--
 .../Services/GoogleImagen4Generator.cs        | 184 ++++++++++++++++++
 .../Services/GoogleImagenModels.cs            |  44 +++++
 ...settings - Fill this in and rename it.json |   3 +
 8 files changed, 272 insertions(+), 32 deletions(-)
 create mode 100644 MultiImageClient/Services/GoogleImagen4Generator.cs
 create mode 100644 MultiImageClient/Services/GoogleImagenModels.cs

diff --git a/IdeogramAPI/.gitignore b/IdeogramAPI/.gitignore
index b1817ec..a3fdcbf 100644
--- a/IdeogramAPI/.gitignore
+++ b/IdeogramAPI/.gitignore
@@ -10,4 +10,4 @@ ideogram_data_all.json
 **/claude-bad.txt
 claude-bad.txt
 **/env/**
-**/env2/**
\ No newline at end of file
+**/env2/**
diff --git a/ImageGenerationClasses/Settings.cs b/ImageGenerationClasses/Settings.cs
index 52c6dd3..7f48c25 100644
--- a/ImageGenerationClasses/Settings.cs
+++ b/ImageGenerationClasses/Settings.cs
@@ -8,12 +8,19 @@ namespace MultiImageClient
 {
     public class Settings
     {
+        public string GoogleCloudProjectId { get; set; } 
+        /// ffs google
+        public string GoogleServiceAccountKeyPath { get; set; }
+
+        /// aka vertex
+        public string GoogleCloudApiKey { get; set; }
         public string IdeogramApiKey { get; set; }
         public string OpenAIApiKey { get; set; }
         public string BFLApiKey {get;set;}
         public string AnthropicApiKey{ get; set; }
         public string RecraftApiKey { get; set; }
         public string GoogleGeminiApiKey { get; set; }
+        public string GoogleCloudLocation { get; set; }
         public string LoadPromptsFrom { get; set; }
         public bool EnableLogging { get; set; }
         public string LogFilePath { get; set; }
@@ -46,12 +53,7 @@ public static Settings LoadFromFile(string filePath)
 
         public void Validate()
         {
-            //if (string.IsNullOrWhiteSpace(IdeogramApiKey))
-            //{
-            //    throw new ArgumentException("IdeogramApiKey is required");
-            //}
-
-            if (string.IsNullOrWhiteSpace(LogFilePath))
+               if (string.IsNullOrWhiteSpace(LogFilePath))
             {
                 throw new ArgumentException("LogFilePath is required");
             }
@@ -66,6 +68,19 @@ public void Validate()
             {
                 Directory.CreateDirectory(ImageDownloadBaseFolder);
             }
+
+            if (string.IsNullOrWhiteSpace(GoogleCloudLocation))
+            {
+                throw new ArgumentException("GoogleCloudLocation is required for Imagen 4");
+            }
+            if (string.IsNullOrWhiteSpace(GoogleCloudProjectId))
+            {
+                throw new ArgumentException("GoogleCloudProjectId is required for Imagen 4");
+            }
+            if (string.IsNullOrWhiteSpace(GoogleServiceAccountKeyPath))
+            {
+                throw new ArgumentException("GoogleServiceAccountKeyPath is required for Imagen 4");
+            }
         }
     }
 }
diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index aecfb84..127e4a1 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -61,10 +61,12 @@ public IEnumerable<IImageGenerator> GetAll()
 
             // Using other working generators instead
             //var myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, ideogram4, ideogram3, dalle3, bfl2, bfl3, recraft8, recraft9 };
-            var goog1 = new GoogleGenerator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "nano-banana", "gemini-2.5-flash-image-preview");
-            var goog3 = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "imagen-4");
+            var goog1 = new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana, _settings.GoogleGeminiApiKey, _concurrency, _stats);
+            var goog3 = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats, 
+                                                    location: _settings.GoogleCloudLocation, 
+                                                    projectId: _settings.GoogleCloudProjectId,
+                                                    googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
             var myGenerators = new List<IImageGenerator>() { goog3 };
-                //goog2, goog3 };
             return myGenerators;
         }
 
diff --git a/MultiImageClient/MultiImageClient.csproj b/MultiImageClient/MultiImageClient.csproj
index 8dba907..6388033 100644
--- a/MultiImageClient/MultiImageClient.csproj
+++ b/MultiImageClient/MultiImageClient.csproj
@@ -19,7 +19,9 @@
 
   <ItemGroup>
     <PackageReference Include="Anthropic.SDK" Version="4.1.1" />
+    <PackageReference Include="Google.Apis.Auth" Version="1.71.0" />
     <PackageReference Include="Google_GenerativeAI" Version="3.2.0" />
+    <PackageReference Include="Google.Cloud.AIPlatform.V1" Version="3.0.0" />
     <PackageReference Include="LLamaSharp" Version="0.17.0" />
     <PackageReference Include="LLamaSharp.Backend.Cuda12" Version="0.16.0" />
     <PackageReference Include="Magick.NET-Q16-AnyCPU" Version="14.8.2" />
diff --git a/MultiImageClient/Services/GoogleGenerator.cs b/MultiImageClient/Services/GoogleGenerator.cs
index 18fa19e..5159214 100644
--- a/MultiImageClient/Services/GoogleGenerator.cs
+++ b/MultiImageClient/Services/GoogleGenerator.cs
@@ -16,39 +16,34 @@ public class GoogleGenerator : IImageGenerator
         private string _apiKey;
         private MultiClientRunStats _stats;
         private string _name;
-        private string _model;
+        private ImageGeneratorApiType _apiType;
 
-        public GoogleGenerator(string apiKey, int maxConcurrency,
-            MultiClientRunStats stats, string name = "", string model)
+        public GoogleGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency,
+            MultiClientRunStats stats, string name = "")
         {
             _apiKey = apiKey;
             _googleSemaphore = new SemaphoreSlim(maxConcurrency);
             _httpClient = new HttpClient();
             _name = string.IsNullOrEmpty(name) ? "" : name;
             _stats = stats;
-            _model = model;
+            _apiType = apiType;
 
-            // Debug: Check if API key is properly set
-            if (string.IsNullOrWhiteSpace(_apiKey))
-            {
-                Console.WriteLine("WARNING: Google Gemini API key is null or empty!");
-            }
         }
 
         public string GetFilenamePart(PromptDetails pd)
         {
-            return $"google-{_model}";
+            return $"google-{_apiType}";
         }
 
         public decimal GetCost()
         {
             // Gemini 2.5 Flash Image uses token-based pricing
             // $30 per 1 million tokens for image output (1290 tokens per image up to 1024x1024px)
-            if (_model == "gemini-2.5-flash-image-preview" || _model == "gemini-2.5-flash-image")
+            if (_apiType == ImageGeneratorApiType.GoogleNanoBanana)
             {
-                return (30m / 1000000m) * 1290m; // $0.0387 per image
+                return (30m / 1000000m) * 1290m;
             }
-            else if (_model == "imagen-4.0-generate-001")
+            else if (_apiType == ImageGeneratorApiType.GoogleImagen4)
             {
                 return 0.04m;
             }
@@ -60,14 +55,14 @@ public decimal GetCost()
 
         public List<string> GetRightParts()
         {
-            return new List<string> { _model };
+            return new List<string> { _apiType.ToString() };
         }
 
         public string GetGeneratorSpecPart()
         {
             if (string.IsNullOrEmpty(_name))
             {
-                return $"google-{_model.Replace("imagen-", "").Replace("gemini-", "").Replace("-", "")}";
+                return $"google-{_apiType.ToString()}";
             }
             else
             {
@@ -83,7 +78,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 _stats.GoogleRequestCount++;
 
                 // Google Gemini API endpoint for native image generation (Nano Banana)
-                var apiUrl = $"https://generativelanguage.googleapis.com/v1beta/models/{_model}:generateContent";
+                var apiUrl = $"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image-preview:generateContent";
 
                 var requestBody = new
                 {
@@ -201,12 +196,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
 
         private ImageGeneratorApiType GetImageGeneratorType()
         {
-            if (_model.Contains("gemini-2.5-flash-image"))
-                return ImageGeneratorApiType.GoogleNanoBanana; // Gemini native image generation
-            else if (_model.Contains("imagen-4"))
-                return ImageGeneratorApiType.GoogleImagen4;
-            else
-                throw new Exception("E");
+            return _apiType;            
         }
 
         public void Dispose()
diff --git a/MultiImageClient/Services/GoogleImagen4Generator.cs b/MultiImageClient/Services/GoogleImagen4Generator.cs
new file mode 100644
index 0000000..6a38308
--- /dev/null
+++ b/MultiImageClient/Services/GoogleImagen4Generator.cs
@@ -0,0 +1,184 @@
+using System;
+using System.Collections.Generic;
+using System.Net.Http;
+using System.Text;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+using Google.Apis.Auth.OAuth2;
+using System.IO;
+using Google.Cloud.AIPlatform.V1;
+using Google.Protobuf.WellKnownTypes;
+using System.Linq;
+
+namespace MultiImageClient
+{
+    public class GoogleImagen4Generator : IImageGenerator
+    {
+        private SemaphoreSlim _googleSemaphore;
+        private PredictionServiceClient _predictionServiceClient;
+        private string _apiKey;
+        private MultiClientRunStats _stats;
+        private string _name;
+        private string _aspectRatio;
+        private string _safetyFilterLevel;
+        private bool _addWatermark;
+        private string _location;
+        private string _projectId;
+        private string _googleServiceAccountKeyPath;
+        private GoogleCredential _credential;
+
+        public GoogleImagen4Generator(string apiKey, int maxConcurrency,
+            MultiClientRunStats stats, string name = "", string aspectRatio = "SQUARE", 
+            string safetyFilterLevel = "BLOCK_NONE", bool addWatermark = false,
+            string location = "us-central1", string projectId = "google-cloud-project-id",
+            string googleServiceAccountKeyPath = null)
+        {
+            _apiKey = apiKey;
+            _googleSemaphore = new SemaphoreSlim(maxConcurrency);
+            _location = location;
+            _projectId = projectId;
+            _googleServiceAccountKeyPath = googleServiceAccountKeyPath;
+
+            if (!string.IsNullOrEmpty(_googleServiceAccountKeyPath))
+            {
+                _credential = GoogleCredential.FromFile(_googleServiceAccountKeyPath)
+                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
+            } else {
+                // Fallback to Application Default Credentials if path is not provided
+                _credential = GoogleCredential.GetApplicationDefault()
+                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
+            }
+
+            _predictionServiceClient = new PredictionServiceClientBuilder
+            {
+                Endpoint = $"{location}-aiplatform.googleapis.com",
+                Credential = _credential
+            }.Build();
+            
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _stats = stats;
+            _aspectRatio = aspectRatio;
+            _safetyFilterLevel = safetyFilterLevel;
+            _addWatermark = addWatermark;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var namePart = string.IsNullOrEmpty(_name) ? "" : $"-{_name}";
+            return $"google-imagen4{namePart}";
+        }
+
+        public decimal GetCost()
+        {
+            // Imagen 4 pricing (higher than Imagen 3)
+            return 0.04m;
+        }
+
+        public List<string> GetRightParts()
+        {
+            var namePart = string.IsNullOrEmpty(_name) ? "" : _name;
+            return new List<string> { "google", "imagen4", namePart };
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return "google-imagen4";
+            }
+            else
+            {
+                return _name;
+            }
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _googleSemaphore.WaitAsync();
+            try
+            {
+                _stats.GoogleRequestCount++;
+
+                // Google Gemini API endpoint for Imagen 4
+                var apiUrl = $"https://{_location}-aiplatform.googleapis.com/v1/projects/{_projectId}/locations/{_location}/publishers/google/models/imagen-4.0-generate-001:predict";
+
+                // Construct the instance for the predict request
+                var instance = new Google.Protobuf.WellKnownTypes.Value
+                {
+                    StructValue = new Google.Protobuf.WellKnownTypes.Struct
+                    {
+                        Fields = 
+                        {
+                            { "prompt", Google.Protobuf.WellKnownTypes.Value.ForString(promptDetails.Prompt) },
+                            { "numberOfImages", Google.Protobuf.WellKnownTypes.Value.ForNumber(1) },
+                            { "aspectRatio", Google.Protobuf.WellKnownTypes.Value.ForString(_aspectRatio) },
+                            { "safetyFilterLevel", Google.Protobuf.WellKnownTypes.Value.ForString(_safetyFilterLevel) },
+                            { "personGeneration", Google.Protobuf.WellKnownTypes.Value.ForString("ALLOW_ADULT") },
+                            { "addWatermark", Google.Protobuf.WellKnownTypes.Value.ForBool(_addWatermark) }
+                        }
+                    }
+                };
+
+                var instances = new List<Google.Protobuf.WellKnownTypes.Value> { instance };
+
+                // Imagen 4 does not use a separate 'config' field in parameters.
+                // Parameters are directly specified in the instance.
+                var parameters = new Google.Protobuf.WellKnownTypes.Value(); // No parameters needed for now.
+
+                var endpoint = EndpointName.FromProjectLocationPublisherModel(_projectId, _location, "google", "imagen-4.0-generate-001");
+                
+                var response = await _predictionServiceClient.PredictAsync(endpoint, instances, parameters);
+                //var ff = response.Predictions.First().StructValue;
+                var generatedImageStruct = response.Predictions.First().StructValue.Fields["generatedImage"].StructValue;
+                var responseJson = generatedImageStruct.Fields["bytesBase64Encoded"].StringValue;
+
+                if (string.IsNullOrEmpty(responseJson))
+                {
+                    return new TaskProcessResult 
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "No image data returned from Google Imagen 4 API",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.GoogleImagen4,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                var base64Images = new List<string> { responseJson };
+
+                return new TaskProcessResult 
+                { 
+                    IsSuccess = true, 
+                    Base64ImageDatas = base64Images,
+                    ContentType = "image/png",
+                    ErrorMessage = "", 
+                    PromptDetails = promptDetails, 
+                    ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                };
+            }
+            catch (Exception ex)
+            {
+                var errorMessage = $"Google Imagen 4 Generator error: {ex.Message}";
+                return new TaskProcessResult 
+                { 
+                    IsSuccess = false, 
+                    ErrorMessage = errorMessage, 
+                    PromptDetails = promptDetails, 
+                    ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                };
+            }
+            finally
+            {
+                _googleSemaphore.Release();
+            }
+        }
+
+        public void Dispose()
+        {
+            _googleSemaphore?.Dispose();
+        }
+    }
+}
diff --git a/MultiImageClient/Services/GoogleImagenModels.cs b/MultiImageClient/Services/GoogleImagenModels.cs
new file mode 100644
index 0000000..aa3987b
--- /dev/null
+++ b/MultiImageClient/Services/GoogleImagenModels.cs
@@ -0,0 +1,44 @@
+using System.Text.Json.Serialization;
+
+namespace MultiImageClient
+{
+    // Shared response models for Google Imagen API
+    public class GoogleImagenResponse
+    {
+        public GoogleImagenGeneratedImage[] GeneratedImages { get; set; }
+    }
+
+    public class GoogleImagenGeneratedImage
+    {
+        public string BytesBase64Encoded { get; set; }
+        public string MimeType { get; set; }
+    }
+
+    // Response models for Gemini native image generation (Nano Banana)
+    public class GeminiGenerateContentResponse
+    {
+        public GeminiCandidate[] candidates { get; set; }
+    }
+
+    public class GeminiCandidate
+    {
+        public GeminiContent content { get; set; }
+    }
+
+    public class GeminiContent
+    {
+        public GeminiPart[] parts { get; set; }
+    }
+
+    public class GeminiPart
+    {
+        public string text { get; set; }
+        public GeminiInlineData inlineData { get; set; }
+    }
+
+    public class GeminiInlineData
+    {
+        public string mimeType { get; set; }
+        public string data { get; set; }
+    }
+}
diff --git a/MultiImageClient/settings - Fill this in and rename it.json b/MultiImageClient/settings - Fill this in and rename it.json
index 40d6042..fdd8f90 100644
--- a/MultiImageClient/settings - Fill this in and rename it.json	
+++ b/MultiImageClient/settings - Fill this in and rename it.json	
@@ -5,6 +5,9 @@
   "BFLApiKey": "Optional: Fill in the BFL key here: from https://beta.bigfriendly.com/ which you have to pay for",
   "AnthropicApiKey": "Optionally: fill in the anthropic key here.  from https://console.anthropic.com/settings/keys which you have to pay for",
   "GoogleGeminiApiKey": "FILL IN YOUR GOOGLE GEMINI API KEY HERE from https://ai.google.dev/gemini-api/docs/api-key which you have to pay for",
+  "GoogleCloudLocation": "FILL IN YOUR GOOGLE CLOUD REGION HERE (e.g., us-central1) for Imagen 4 - see https://cloud.google.com/vertex-ai/docs/general/locations",
+  "GoogleCloudProjectId": "FILL IN YOUR GOOGLE CLOUD PROJECT ID HERE for Imagen 4 - from Google Cloud Console",
+  "GoogleServiceAccountKeyPath": "FILL IN THE PATH TO YOUR SERVICE ACCOUNT JSON KEY FILE HERE for Imagen 4 - created in Google Cloud Console IAM & Admin > Service Accounts > Keys",
   "ImageDownloadBaseFolder": "D:\\proj\\IdeogramAPI\\ideogramSaves",
   "LogFilePath": "D:\\proj\\IdeogramAPI\\ideogram.log",
   "SaveJsonLog": true,

From b7b79fd9469a231be768f0382d6ed9365bea8172 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 25 Sep 2025 13:33:16 -0700
Subject: [PATCH 45/78] imagen4 etc working now

---
 ImageGenerationClasses/TransformationType.cs  |  3 +-
 MultiImageClient/GeneratorGroups.cs           | 11 ++-
 MultiImageClient/ImageManager.cs              | 60 ++++++++-----
 .../Implementation/CreatedBase64Image.cs      |  9 ++
 .../Implementation/FileNameGenerator.cs       |  9 +-
 .../Implementation/ImageSaving.cs             | 90 +++++++++----------
 .../Implementation/TaskProcessResult.cs       | 35 +++++---
 MultiImageClient/Services/BFLGenerator.cs     |  3 +
 MultiImageClient/Services/Dalle3Generator.cs  |  2 +
 MultiImageClient/Services/GoogleGenerator.cs  | 78 ++++++++--------
 .../Services/GoogleImagen4Generator.cs        | 46 ++++++++--
 .../Services/GptImageOneGenerator.cs          |  7 +-
 .../Services/IdeogramGenerator.cs             |  2 +
 MultiImageClient/Services/RecraftGenerator.cs |  2 +
 .../promptTransformation/IImageGenerator.cs   |  2 +-
 15 files changed, 220 insertions(+), 139 deletions(-)
 create mode 100644 MultiImageClient/Implementation/CreatedBase64Image.cs

diff --git a/ImageGenerationClasses/TransformationType.cs b/ImageGenerationClasses/TransformationType.cs
index 31a3cf6..1c5c282 100644
--- a/ImageGenerationClasses/TransformationType.cs
+++ b/ImageGenerationClasses/TransformationType.cs
@@ -5,7 +5,6 @@ public enum TransformationType
         InitialPrompt = 1,
         Variants = 2,
         InitialExpand = 3,
-         
 
         ClaudeRewrite = 20,
         ClaudeRewriteRequest = 21,
@@ -26,6 +25,8 @@ public enum TransformationType
         ManualSuffixation = 110,
         
         AddingArtistStyle = 120,
+        Imagen4Rewrite = 125,
+        GptImageOneRewrite = 130,
     }
 }
 
diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index 127e4a1..f170835 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -59,14 +59,13 @@ public IEnumerable<IImageGenerator> GetAll()
             //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
 
-            // Using other working generators instead
-            //var myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, ideogram4, ideogram3, dalle3, bfl2, bfl3, recraft8, recraft9 };
-            var goog1 = new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana, _settings.GoogleGeminiApiKey, _concurrency, _stats);
-            var goog3 = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats, 
-                                                    location: _settings.GoogleCloudLocation, 
+            var google_banana = new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana, _settings.GoogleGeminiApiKey, _concurrency, _stats);
+            var googleimagen = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats,
+                                                    location: _settings.GoogleCloudLocation,
                                                     projectId: _settings.GoogleCloudProjectId,
                                                     googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
-            var myGenerators = new List<IImageGenerator>() { goog3 };
+            var myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, ideogram4, ideogram3, dalle3, bfl2, bfl3, recraft8, recraft9, google_banana, googleimagen };
+
             return myGenerators;
         }
 
diff --git a/MultiImageClient/ImageManager.cs b/MultiImageClient/ImageManager.cs
index da42d2b..2b8f9a0 100644
--- a/MultiImageClient/ImageManager.cs
+++ b/MultiImageClient/ImageManager.cs
@@ -24,36 +24,36 @@ public ImageManager(Settings settings, MultiClientRunStats stats)
             _stats = stats;
         }
 
-        public async Task<Dictionary<SaveType, string>> DoSaveAsync(IImageGenerator generator, byte[] imageBytes, TaskProcessResult result, Settings settings)
+        public async Task<Dictionary<SaveType, string>> DoSaveAsync(int n, PromptDetails pd, string contentType, byte[] imageBytes, IImageGenerator generator, Settings settings)
         {
+            var thesePaths = new Dictionary<SaveType, string>();
             if (imageBytes == null || imageBytes.Length == 0)
             {
                 Logger.Log($"Empty or null image bytes received");
-                throw new Exception("Bad image.");
+                throw new Exception("no bytes?)");
             }
 
-
             // just one time, convert the bytes to png if needed.
-            if (result.ContentType == "image/webp")
+            if (contentType == "image/webp")
             {
                 var fakeImage = new MagickImage(imageBytes, MagickFormat.WebP);
                 imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
             }
-            else if (result.ContentType == "image/svg+xml")
+            else if (contentType == "image/svg+xml")
             {
                 var fakeImage = new MagickImage(imageBytes, MagickFormat.Svg);
                 imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
             }
-            else if (result.ContentType == "image/jpeg")
+            else if (contentType == "image/jpeg")
             {
                 var fakeImage = new MagickImage(imageBytes, MagickFormat.Jpg);
                 imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
             }
-            else if (result.ContentType == "image/png")
+            else if (contentType == "image/png")
             {
                 //Console.WriteLine("png do nothing, all good");
             }
-            else if (result.ContentType == null)
+            else if (contentType == null)
             {
                 //Console.WriteLine("contentType null, so fall into .png");
             }
@@ -62,21 +62,15 @@ public async Task<Dictionary<SaveType, string>> DoSaveAsync(IImageGenerator gene
                 Console.WriteLine("some other weird contenttype. {result.ContentType}");
             }
 
+            thesePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.Raw, generator);
+            thesePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.FullAnnotation, generator);
+            thesePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.FinalPrompt, generator);
+            thesePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.InitialIdea, generator);
+            thesePaths[SaveType.JustOverride] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.JustOverride, generator);
+            thesePaths[SaveType.Label] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.Label, generator);
 
-            //okay now we have the real bytes and they've been converted to png format if needed.
-            result.SetImageBytes(imageBytes);
-
-
-            var savedImagePaths = new Dictionary<SaveType, string>();
 
-            savedImagePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(result, settings, SaveType.Raw, generator);
-            savedImagePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(result, settings, SaveType.FullAnnotation, generator);
-            savedImagePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(result, settings, SaveType.FinalPrompt, generator);
-            savedImagePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(result, settings, SaveType.InitialIdea, generator);
-            savedImagePaths[SaveType.JustOverride] = await ImageSaving.SaveImageAsync(result, settings, SaveType.JustOverride, generator);
-            savedImagePaths[SaveType.Label] = await ImageSaving.SaveImageAsync(result, settings, SaveType.Label, generator);
-
-            return savedImagePaths;
+            return thesePaths;
         }
 
         public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult result, IImageGenerator generator)
@@ -90,11 +84,14 @@ public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult resul
                 }
                 var sw = Stopwatch.StartNew();
                 byte[] imageBytes;
+
                 if (!string.IsNullOrEmpty(result.Url))
                 {
                     imageBytes = await ImageSaving.DownloadImageAsync(result);
                     result.DownloadTotalMs = sw.ElapsedMilliseconds;
-                    var downloadResults = await DoSaveAsync(generator, imageBytes, result, _settings);
+                    result.SetImageBytes(0, imageBytes);
+                    var pd = result.PromptDetails.Copy();
+                    var downloadResults = await DoSaveAsync(0, pd, result.ContentType, imageBytes, generator, _settings);
                     await SaveJsonLogAsync(result, downloadResults);
                     return result;
                 }
@@ -103,8 +100,23 @@ public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult resul
                     var ii = 0;
                     foreach (var qq in result.Base64ImageDatas)
                     {
-                        imageBytes = Convert.FromBase64String(qq);
-                        var downloadResults = await DoSaveAsync(generator, imageBytes, result, _settings);
+                        imageBytes = Convert.FromBase64String(qq.bytesBase64);
+                        result.SetImageBytes(ii, imageBytes);
+                        var pd = result.PromptDetails.Copy();
+                        
+                        if (pd.Prompt != qq.newPrompt && !string.IsNullOrEmpty(qq.newPrompt))
+                        {
+
+                            if (generator.ApiType == ImageGeneratorApiType.GoogleImagen4)
+                            {
+                                pd.AddStep(qq.newPrompt, TransformationType.Imagen4Rewrite);
+                            }
+                            else
+                            {
+                                Console.WriteLine("s");
+                            }
+                        }
+                            var downloadResults = await DoSaveAsync(ii, pd, result.ContentType, imageBytes, generator, _settings);
                         ii++;
                         await SaveJsonLogAsync(result, downloadResults);
                     }
diff --git a/MultiImageClient/Implementation/CreatedBase64Image.cs b/MultiImageClient/Implementation/CreatedBase64Image.cs
new file mode 100644
index 0000000..d6af51d
--- /dev/null
+++ b/MultiImageClient/Implementation/CreatedBase64Image.cs
@@ -0,0 +1,9 @@
+namespace MultiImageClient
+{
+    /// some generators return multiple images per query. we sort of mix doing the query with getting the result including saving the new prompt
+    public class CreatedBase64Image
+    {
+        public string bytesBase64 { get; set; }
+        public string newPrompt { get; set; }
+    }
+}
diff --git a/MultiImageClient/Implementation/FileNameGenerator.cs b/MultiImageClient/Implementation/FileNameGenerator.cs
index 15fcb8b..0ba76ec 100644
--- a/MultiImageClient/Implementation/FileNameGenerator.cs
+++ b/MultiImageClient/Implementation/FileNameGenerator.cs
@@ -28,18 +28,17 @@ public static string SanitizeFilename(string filename)
         }
 
 
-        public static string GenerateUniqueFilename(string generatorFilenamePart, TaskProcessResult result, string baseFolder, SaveType saveType)
+        public static string GenerateUniqueFilename(string generatorFilenamePart, int n, string contentType, string baseFolder, SaveType saveType)
         {
             var components = new List<string>() { };
 
             components.Add(DateTime.Now.ToString("yyyyMMddHHmmss"));
             components.Add(generatorFilenamePart);
+            components.Add($"img{n.ToString()}");
             
-            //components.Add(result.ImageGenerator.ToString());
-            
-            if (!string.IsNullOrEmpty(result.ContentType))
+            if (!string.IsNullOrEmpty(contentType))
             {
-                var ss = result.ContentType.ToString();
+                var ss = contentType.ToString();
                 if (ss.IndexOf('/') != -1)
                 {
                     var parts = ss.Split('/');
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index 5c1a7f0..e5f1298 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -66,7 +66,7 @@ public static async Task<byte[]> DownloadImageAsync(TaskProcessResult result)
             }
         }
 
-        public static async Task<string> SaveImageAsync(TaskProcessResult result, Settings settings, SaveType saveType, IImageGenerator generator)
+        public static async Task<string> SaveImageAsync(PromptDetails promptDetails, byte[] imageBytes, int imageCountN, string contentType, Settings settings, SaveType saveType, IImageGenerator generator)
         {
             string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
             string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder);
@@ -78,10 +78,10 @@ public static async Task<string> SaveImageAsync(TaskProcessResult result, Settin
 
             Directory.CreateDirectory(baseFolder);
 
-            var usingPromptTextPart = FilenameGenerator.TruncatePrompt(result.PromptDetails.Prompt, 90);
-            var generatorFilename = generator.GetFilenamePart(result.PromptDetails);
+            var usingPromptTextPart = FilenameGenerator.TruncatePrompt(promptDetails.Prompt, 90);
+            var generatorFilename = generator.GetFilenamePart(promptDetails);
 
-            var safeFilename = FilenameGenerator.GenerateUniqueFilename($"{generatorFilename}_{usingPromptTextPart}", result, baseFolder, saveType);
+            var safeFilename = FilenameGenerator.GenerateUniqueFilename($"{generatorFilename}_{usingPromptTextPart}", imageCountN, contentType, baseFolder, saveType);
             var fullPath = Path.Combine(baseFolder, safeFilename);
 
             try
@@ -90,7 +90,7 @@ public static async Task<string> SaveImageAsync(TaskProcessResult result, Settin
                 {
                     throw new Exception("no overwriting!");
                 }
-                await File.WriteAllBytesAsync(fullPath, result.GetImageBytes());
+                await File.WriteAllBytesAsync(fullPath, imageBytes);
 
                 if (saveType == SaveType.Raw)
                 {
@@ -99,12 +99,13 @@ public static async Task<string> SaveImageAsync(TaskProcessResult result, Settin
                 }
                 else
                 {
-                    var imageInfo = GetAnnotationDefaultData(result, fullPath, saveType, generator);
-                    var usingSteps = GetUsingSteps(saveType, result.PromptDetails);
+                    var specPart = generator.GetGeneratorSpecPart();
+                    var imageInfo = GetAnnotationDefaultData(specPart, promptDetails, fullPath, saveType, generator);
+                    var usingSteps = GetUsingSteps(saveType, promptDetails);
                     if (saveType == SaveType.JustOverride)
                     {
                         await TextFormatting.JustAddSimpleTextToBottomAsync(
-                            result.GetImageBytes(),
+                            imageBytes,
                             usingSteps,
                             imageInfo,
                             fullPath,
@@ -117,8 +118,8 @@ await TextFormatting.JustAddSimpleTextToBottomAsync(
                         var costPart = $"{generator.GetCost()} $USD";
                         rightParts.Add(costPart);
                         rightParts.Add("MultiImageClient");
-                        using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(result.GetImageBytes());
-                        var label = MakeLabelGeneral(originalImage.Width, result.PromptDetails.Prompt, rightParts);
+                        using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(imageBytes);
+                        var label = MakeLabelGeneral(originalImage.Width, promptDetails.Prompt, rightParts);
 
                         using var labelImage = SixLabors.ImageSharp.Image.Load<Rgba32>(label);
                         int newHeight = originalImage.Height + labelImage.Height;
@@ -136,7 +137,7 @@ await TextFormatting.JustAddSimpleTextToBottomAsync(
                     else
                     {
                         await TextFormatting.SaveImageAndAnnotate(
-                            result.GetImageBytes(),
+                            imageBytes,
                             usingSteps,
                             imageInfo,
                             fullPath,
@@ -224,25 +225,23 @@ private static IEnumerable<PromptHistoryStep> GetUsingSteps(SaveType saveType, P
             };
         }
 
-        private static Dictionary<string, string> GetAnnotationDefaultData(TaskProcessResult result, string fullPath, SaveType saveType, IImageGenerator generator)
+        private static Dictionary<string, string> GetAnnotationDefaultData(string generatorIdentifier, PromptDetails promptDetails, string fullPath, SaveType saveType, IImageGenerator generator)
         {
             var imageInfo = new Dictionary<string, string>();
-            var promptDetails = result.PromptDetails;
 
             switch (saveType)
             {
                 case SaveType.FullAnnotation:
-                    //AddFullAnnotationInfo(imageInfo, result.ImageGenerator, promptDetails, promptGeneratorName, result);
                     imageInfo.Add("Filename", Path.GetFileName(fullPath));
                     break;
                 case SaveType.InitialIdea:
                     var initialPrompt = promptDetails.TransformationSteps.First().Explanation;
-                    imageInfo.Add("Producer", result.ImageGenerator.ToString());
+                    imageInfo.Add("Producer", generatorIdentifier);
                     imageInfo.Add("Initial Prompt", initialPrompt);
                     break;
                 case SaveType.FinalPrompt:
                     var finalPrompt = promptDetails.Prompt;
-                    imageInfo.Add("Producer", result.ImageGenerator.ToString());
+                    imageInfo.Add("Producer", generatorIdentifier);
                     imageInfo.Add("Final Prompt", finalPrompt);
                     break;
                 case SaveType.Raw:
@@ -250,7 +249,7 @@ private static Dictionary<string, string> GetAnnotationDefaultData(TaskProcessRe
                     break;
                 case SaveType.JustOverride:
                     var initialPrompt2 = promptDetails.TransformationSteps.First().Explanation;
-                    imageInfo.Add("Producer", result.ImageGenerator.ToString());
+                    imageInfo.Add("Producer", generatorIdentifier);
                     imageInfo.Add("Initial Prompt", initialPrompt2);
                     break;
             }
@@ -350,37 +349,38 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                 {
                     try
                     {
-                        // Use GetImageBytes() to get the stored bytes
-                        var imageBytes = result.GetImageBytes();
-                        if (imageBytes != null && imageBytes.Length > 0)
+                        foreach (var imageBytes in result.GetAllImages)
                         {
-                            var image = Image.Load<Rgba32>(imageBytes);
-
-                            // Resize if height > 1300px, keeping proportions and max height of 1024px
-                            if (image.Height > 1300)
+                            if (imageBytes != null && imageBytes.Length > 0)
                             {
-                                var aspectRatio = (float)image.Width / image.Height;
-                                var newHeight = 1024;
-                                var newWidth = (int)(newHeight * aspectRatio);
-
-                                Logger.Log($"Resizing image from {image.Width}x{image.Height} to {newWidth}x{newHeight} for combining");
-                                image.Mutate(x => x.Resize(newWidth, newHeight));
+                                var image = Image.Load<Rgba32>(imageBytes);
+
+                                // Resize if height > 1300px, keeping proportions and max height of 1024px
+                                if (image.Height > 1300)
+                                {
+                                    var aspectRatio = (float)image.Width / image.Height;
+                                    var newHeight = 1024;
+                                    var newWidth = (int)(newHeight * aspectRatio);
+
+                                    Logger.Log($"Resizing image from {image.Width}x{image.Height} to {newWidth}x{newHeight} for combining");
+                                    image.Mutate(x => x.Resize(newWidth, newHeight));
+                                }
+
+                                loadedImages.Add(new LoadedImage
+                                {
+                                    OriginalTaskProcessResult = result,
+                                    Success = true,
+                                    Image = image,
+                                    Width = image.Width,
+                                    Height = image.Height
+                                });
                             }
-
-                            loadedImages.Add(new LoadedImage
+                            else
                             {
-                                OriginalTaskProcessResult = result,
-                                Success = true,
-                                Image = image,
-                                Width = image.Width,
-                                Height = image.Height
-                            });
-                        }
-                        else
-                        {
-                            // Success but no bytes somehow
-                            Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
-                            loadedImages.Add(CreateFailedGenerationPlaceholder(result, false, placeholderWidth));
+                                // Success but no bytes somehow
+                                Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
+                                loadedImages.Add(CreateFailedGenerationPlaceholder(result, false, placeholderWidth));
+                            }
                         }
                     }
                     catch (Exception ex)
@@ -397,7 +397,7 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                         ? result.ErrorMessage
                         : result.GenericImageErrorType.ToString();
                     Logger.Log($"Result failed for {result.ImageGenerator}: {errorMsg}");
-                    loadedImages.Add(CreateFailedGenerationPlaceholder(result, false,  placeholderWidth));
+                    loadedImages.Add(CreateFailedGenerationPlaceholder(result, false, placeholderWidth));
                 }
             }
 
diff --git a/MultiImageClient/Implementation/TaskProcessResult.cs b/MultiImageClient/Implementation/TaskProcessResult.cs
index 280d3b4..a6adeb8 100644
--- a/MultiImageClient/Implementation/TaskProcessResult.cs
+++ b/MultiImageClient/Implementation/TaskProcessResult.cs
@@ -1,9 +1,13 @@
-using System;
+using Google.Protobuf;
+
+using System;
 using System.Collections.Generic;
 using System.Diagnostics;
+using System.Linq;
 
 namespace MultiImageClient
 {
+
     public class TaskProcessResult
     {
         public bool IsSuccess { get; set; }
@@ -11,13 +15,13 @@ public class TaskProcessResult
         public GenericTextGenerationErrorType GenericTextErrorType { get; set; } = 0;
 
         public string ErrorMessage { get; set; }
+        
+        // to make multi
+        public string Url { get; set; }
 
-        /// <summary>
         /// gpt-image-1 returns the data as base64 encoded string, so we have already decoded it and just have it here.
         /// so, sometimes guy won't have Url but will have the image data.
-        /// </summary>
-        public string Url { get; set; }
-        public IEnumerable<string> Base64ImageDatas { get; set; } = new List<string>();
+        public IEnumerable<CreatedBase64Image> Base64ImageDatas { get; set; } = new List<CreatedBase64Image>();
         public string ContentType { get; set; }
         public PromptDetails PromptDetails { get; set; }
         public ImageGeneratorApiType ImageGenerator { get; set; }
@@ -25,8 +29,13 @@ public class TaskProcessResult
         public TextGeneratorApiType TextGenerator { get; set; }
         public long CreateTotalMs { get; set; } = 0;
         public long DownloadTotalMs { get; set; } = 0;
-        private byte[] _ImageBytes { get; set; }
-        public void SetImageBytes(byte[] imageBytes)
+        private Dictionary<int, byte[]> _ImageBytes { get; set; } = new Dictionary<int, byte[]>();
+        public IEnumerable<byte[]> GetAllImages
+        {
+            get { return _ImageBytes.Values; }
+        }
+        
+        public void SetImageBytes(int n, byte[] imageBytes)
         {
             if (imageBytes == null || imageBytes.Length == 0)
             {
@@ -35,12 +44,12 @@ public void SetImageBytes(byte[] imageBytes)
                 ErrorMessage = "No image data.";
                 return;
             }
-            if (_ImageBytes != null && _ImageBytes.Length > 0)
+            if (_ImageBytes.ContainsKey(n))
             {
-                Console.WriteLine("Already seat.");
-                throw new Exception("Already set image bytes.");
+                throw new Exception("double");
             }
-            _ImageBytes = imageBytes;
+
+            _ImageBytes[n] = imageBytes;
         }   
 
 
@@ -54,13 +63,13 @@ public override string ToString()
             return $"Success. {PromptDetails}";
         }
 
-        internal byte[] GetImageBytes()
+        internal byte[] GetImageBytes(int n)
         {
             if (_ImageBytes == null)
             {
                 throw new Exception("No image bytes set.");
             }
-            return _ImageBytes;
+            return _ImageBytes[n];
         }
     }
 }
diff --git a/MultiImageClient/Services/BFLGenerator.cs b/MultiImageClient/Services/BFLGenerator.cs
index 273c8f5..a777aeb 100644
--- a/MultiImageClient/Services/BFLGenerator.cs
+++ b/MultiImageClient/Services/BFLGenerator.cs
@@ -37,6 +37,9 @@ public class BFLGenerator : IImageGenerator
         private int _width { get; set; }
         private int _height { get; set; }
         private ImageGeneratorApiType _apiType { get; }
+
+        public ImageGeneratorApiType ApiType => _apiType;
+
         private string _name;
 
         
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/Services/Dalle3Generator.cs
index 8c11599..808fcf4 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -18,6 +18,8 @@ public class Dalle3Generator : IImageGenerator
         private MultiClientRunStats _stats;
         private string _name;
 
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.Dalle3;
+
         public Dalle3Generator(string apiKey, int maxConcurrency,
             GeneratedImageQuality quality,
                 GeneratedImageSize size,
diff --git a/MultiImageClient/Services/GoogleGenerator.cs b/MultiImageClient/Services/GoogleGenerator.cs
index 5159214..c2777c9 100644
--- a/MultiImageClient/Services/GoogleGenerator.cs
+++ b/MultiImageClient/Services/GoogleGenerator.cs
@@ -18,6 +18,8 @@ public class GoogleGenerator : IImageGenerator
         private string _name;
         private ImageGeneratorApiType _apiType;
 
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleNanoBanana;
+
         public GoogleGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency,
             MultiClientRunStats stats, string name = "")
         {
@@ -108,30 +110,30 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 };
                 request.Headers.Add("x-goog-api-key", _apiKey);
 
-              
+
                 var response = await _httpClient.SendAsync(request);
                 var responseContent = await response.Content.ReadAsStringAsync();
 
                 if (!response.IsSuccessStatusCode)
                 {
                     var errorMessage = $"Google Gemini API error: {response.StatusCode} - {responseContent}";
-                    return new TaskProcessResult 
-                    { 
-                        IsSuccess = false, 
-                        ErrorMessage = errorMessage, 
-                        PromptDetails = promptDetails, 
-                        ImageGenerator = GetImageGeneratorType(), 
-                        ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = errorMessage,
+                        PromptDetails = promptDetails,
+                        ImageGenerator = GetImageGeneratorType(),
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
                     };
                 }
 
                 // Parse Gemini native image generation response
                 var responseData = JsonSerializer.Deserialize<GeminiGenerateContentResponse>(responseContent);
-                
+
                 if (responseData?.candidates?.Length > 0)
                 {
-                    var base64Images = new List<string>();
-                    
+                    var base64Images = new List<CreatedBase64Image>();
+
                     foreach (var candidate in responseData.candidates)
                     {
                         if (candidate?.content?.parts != null)
@@ -141,51 +143,57 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                                 // Check for image data in inline_data
                                 if (part.inlineData != null && !string.IsNullOrEmpty(part.inlineData.data))
                                 {
-                                    base64Images.Add(part.inlineData.data);
+                                    var bd = new CreatedBase64Image
+                                    {
+                                        bytesBase64 = part.inlineData.data,
+                                        newPrompt = promptDetails.Prompt
+                                    };
+                                    base64Images.Add(bd);
                                 }
                                 // Log any text responses for debugging
                                 else if (!string.IsNullOrEmpty(part.text))
                                 {
                                     Console.WriteLine($"Gemini text response: {part.text}");
+                                    throw new Exception("qq");
                                 }
                             }
                         }
                     }
-                    
+
                     if (base64Images.Count > 0)
                     {
-                        return new TaskProcessResult 
-                        { 
-                            IsSuccess = true, 
+                        return new TaskProcessResult
+                        {
+                            IsSuccess = true,
                             Base64ImageDatas = base64Images,
                             ContentType = "image/png",
-                            ErrorMessage = "", 
-                            PromptDetails = promptDetails, 
-                            ImageGenerator = GetImageGeneratorType(), 
-                            ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                            ErrorMessage = "",
+                            PromptDetails = promptDetails,
+                            ImageGenerator = GetImageGeneratorType(),
+                            ImageGeneratorDescription = generator.GetGeneratorSpecPart()
                         };
                     }
                 }
 
-                return new TaskProcessResult 
-                { 
-                    IsSuccess = false, 
-                    ErrorMessage = "No image data returned from Google Gemini API", 
-                    PromptDetails = promptDetails, 
-                    ImageGenerator = GetImageGeneratorType(), 
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = "No image data returned from Google Gemini API",
+                    PromptDetails = promptDetails,
+                    ImageGenerator = GetImageGeneratorType(),
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
                 };
             }
             catch (Exception ex)
             {
                 var errorMessage = $"Google Imagen Generator error: {ex.Message}";
-                return new TaskProcessResult 
-                { 
-                    IsSuccess = false, 
-                    ErrorMessage = errorMessage, 
-                    PromptDetails = promptDetails, 
-                    ImageGenerator = GetImageGeneratorType(), 
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = errorMessage,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = GetImageGeneratorType(),
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
                 };
             }
             finally
@@ -196,7 +204,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
 
         private ImageGeneratorApiType GetImageGeneratorType()
         {
-            return _apiType;            
+            return _apiType;
         }
 
         public void Dispose()
diff --git a/MultiImageClient/Services/GoogleImagen4Generator.cs b/MultiImageClient/Services/GoogleImagen4Generator.cs
index 6a38308..2824734 100644
--- a/MultiImageClient/Services/GoogleImagen4Generator.cs
+++ b/MultiImageClient/Services/GoogleImagen4Generator.cs
@@ -28,6 +28,8 @@ public class GoogleImagen4Generator : IImageGenerator
         private string _googleServiceAccountKeyPath;
         private GoogleCredential _credential;
 
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleImagen4;
+
         public GoogleImagen4Generator(string apiKey, int maxConcurrency,
             MultiClientRunStats stats, string name = "", string aspectRatio = "SQUARE", 
             string safetyFilterLevel = "BLOCK_NONE", bool addWatermark = false,
@@ -129,11 +131,43 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 var endpoint = EndpointName.FromProjectLocationPublisherModel(_projectId, _location, "google", "imagen-4.0-generate-001");
                 
                 var response = await _predictionServiceClient.PredictAsync(endpoint, instances, parameters);
-                //var ff = response.Predictions.First().StructValue;
-                var generatedImageStruct = response.Predictions.First().StructValue.Fields["generatedImage"].StructValue;
-                var responseJson = generatedImageStruct.Fields["bytesBase64Encoded"].StringValue;
+                
+                var base64Images = new List<CreatedBase64Image>();
+                string commonMimeType = "image/png"; // Default or first detected mime type
+
+                if (response?.Predictions != null && response.Predictions.Any())
+                {
+                    foreach (var prediction in response.Predictions)
+                    {
+                        if (prediction?.StructValue?.Fields != null)
+                        {
+                            var predictionFields = prediction.StructValue.Fields;
+                            if (predictionFields.ContainsKey("bytesBase64Encoded") && predictionFields.ContainsKey("mimeType"))
+                            {
+                                var imageData = predictionFields["bytesBase64Encoded"].StringValue;
+                                var newPrompt = predictionFields["prompt"].StringValue;
+                                var currentMimeType = predictionFields["mimeType"].StringValue;
+
+                                if (!string.IsNullOrEmpty(imageData))
+                                {
+                                    var bd = new CreatedBase64Image
+                                    {
+                                        bytesBase64= imageData,
+                                        newPrompt = newPrompt,
+                                    };
+
+                                    base64Images.Add(bd);
+                                    if (!string.IsNullOrEmpty(currentMimeType) && (commonMimeType == "image/png")) 
+                                    {
+                                        commonMimeType = currentMimeType; // Use the first valid mime type found if default
+                                    }
+                                }
+                            }
+                        }
+                    }
+                }
 
-                if (string.IsNullOrEmpty(responseJson))
+                if (base64Images.Count == 0)
                 {
                     return new TaskProcessResult 
                     {
@@ -145,13 +179,11 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                     };
                 }
 
-                var base64Images = new List<string> { responseJson };
-
                 return new TaskProcessResult 
                 { 
                     IsSuccess = true, 
                     Base64ImageDatas = base64Images,
-                    ContentType = "image/png",
+                    ContentType = commonMimeType,
                     ErrorMessage = "", 
                     PromptDetails = promptDetails, 
                     ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
diff --git a/MultiImageClient/Services/GptImageOneGenerator.cs b/MultiImageClient/Services/GptImageOneGenerator.cs
index a786a7b..9c66874 100644
--- a/MultiImageClient/Services/GptImageOneGenerator.cs
+++ b/MultiImageClient/Services/GptImageOneGenerator.cs
@@ -27,6 +27,8 @@ public class GptImageOneGenerator : IImageGenerator
         private OpenAIGPTImageOneQuality _quality;
         private string _name;
 
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GptImage1;
+
         public string GetGeneratorSpecPart()
         {
             if (string.IsNullOrEmpty(_name))
@@ -184,11 +186,12 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 using var doc = JsonDocument.Parse(json);
                 var qq = doc.RootElement.GetProperty("data");
                 var ll = qq.GetArrayLength();
-                var b64s = new List<string>();
+                var b64s = new List<CreatedBase64Image>();
                 foreach (var el in qq.EnumerateArray())
                 {
                     var b64 = el.GetProperty("b64_json").GetString();
-                    b64s.Add(b64);
+                    var theGuy = new CreatedBase64Image { bytesBase64 = b64, newPrompt = "" };
+                    b64s.Add(theGuy);
                 }
 
 
diff --git a/MultiImageClient/Services/IdeogramGenerator.cs b/MultiImageClient/Services/IdeogramGenerator.cs
index b25e06d..d001a3d 100644
--- a/MultiImageClient/Services/IdeogramGenerator.cs
+++ b/MultiImageClient/Services/IdeogramGenerator.cs
@@ -25,6 +25,8 @@ public class IdeogramGenerator : IImageGenerator
         private IdeogramModel _model;
         private string _name;
 
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.Ideogram;
+
         public string GetGeneratorSpecPart()
         {
             if (string.IsNullOrEmpty(_name))
diff --git a/MultiImageClient/Services/RecraftGenerator.cs b/MultiImageClient/Services/RecraftGenerator.cs
index aacd180..51ec98c 100644
--- a/MultiImageClient/Services/RecraftGenerator.cs
+++ b/MultiImageClient/Services/RecraftGenerator.cs
@@ -32,6 +32,8 @@ public class RecraftGenerator : IImageGenerator
         private string _artistic_level;
         private string _name;
 
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.Recraft;
+
         public string GetGeneratorSpecPart()
         {
             if (string.IsNullOrEmpty(_name))
diff --git a/MultiImageClient/promptTransformation/IImageGenerator.cs b/MultiImageClient/promptTransformation/IImageGenerator.cs
index 44d0c57..e471630 100644
--- a/MultiImageClient/promptTransformation/IImageGenerator.cs
+++ b/MultiImageClient/promptTransformation/IImageGenerator.cs
@@ -17,7 +17,7 @@ namespace MultiImageClient
     /// </summary>
     public interface IImageGenerator
     {
-        
+        public abstract ImageGeneratorApiType ApiType { get; }
         public abstract string GetFilenamePart(PromptDetails pd);
 
         /// return just the parts on the right, we know everything else.

From e56bc58a8a0396a80b30880046d9e6a98e0a7a8a Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Thu, 25 Sep 2025 13:45:42 -0700
Subject: [PATCH 46/78] little fix

---
 MultiImageClient/GeneratorGroups.cs           |  7 ++++---
 MultiImageClient/Services/GoogleGenerator.cs  |  2 +-
 MultiImageClient/Services/RecraftGenerator.cs | 10 ++++++++++
 RecraftAPI/RecraftStyle.cs                    |  1 +
 4 files changed, 16 insertions(+), 4 deletions(-)

diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index f170835..bb82370 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -41,7 +41,7 @@ public IEnumerable<IImageGenerator> GetAll()
             var recraft7 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
             var recraft8 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.organic_calm, _stats, "");
             var recraft9 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.organic_calm, _stats, "", "5");
-
+            var recraft_any = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.any, null, null, null, _stats, "");
             var ideogram1 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, _stats, "");
             var ideogram2 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, _stats, "");
             var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2A, _stats, "");
@@ -51,7 +51,7 @@ public IEnumerable<IImageGenerator> GetAll()
             var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", true, 1024, 1024, _stats, "");
 
             var gptimage1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
-            var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.auto, _stats, "");
+            var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "high", OpenAIGPTImageOneQuality.auto, _stats, "");
 
             //var google_nano = new GoogleGenerator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "nano-banana", "gemini-2.5-flash-image");
             //var google_flash = new GoogleGenerator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "flash", "gemini-1.5-flash");
@@ -64,7 +64,8 @@ public IEnumerable<IImageGenerator> GetAll()
                                                     location: _settings.GoogleCloudLocation,
                                                     projectId: _settings.GoogleCloudProjectId,
                                                     googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
-            var myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, ideogram4, ideogram3, dalle3, bfl2, bfl3, recraft8, recraft9, google_banana, googleimagen };
+            var myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, ideogram4, recraft_any, ideogram3, dalle3, bfl2, bfl3, recraft8, recraft9, google_banana, googleimagen};
+            //myGenerators = new List<IImageGenerator>() { recraft_any };
 
             return myGenerators;
         }
diff --git a/MultiImageClient/Services/GoogleGenerator.cs b/MultiImageClient/Services/GoogleGenerator.cs
index c2777c9..4f3f449 100644
--- a/MultiImageClient/Services/GoogleGenerator.cs
+++ b/MultiImageClient/Services/GoogleGenerator.cs
@@ -154,7 +154,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                                 else if (!string.IsNullOrEmpty(part.text))
                                 {
                                     Console.WriteLine($"Gemini text response: {part.text}");
-                                    throw new Exception("qq");
+                                    //throw new Exception("qq");
                                 }
                             }
                         }
diff --git a/MultiImageClient/Services/RecraftGenerator.cs b/MultiImageClient/Services/RecraftGenerator.cs
index 51ec98c..1b9ea64 100644
--- a/MultiImageClient/Services/RecraftGenerator.cs
+++ b/MultiImageClient/Services/RecraftGenerator.cs
@@ -51,6 +51,10 @@ public string GetGeneratorSpecPart()
                 {
                     usingSubstyle = _substyleVector.ToString();
                 }
+                else if (_style == RecraftStyle.any)
+                {
+                    usingSubstyle = "";
+                }
                 else
                 {
                     throw new Exception("x");
@@ -118,6 +122,8 @@ public decimal GetCost()
                     return 0.04m; //unclear actually.
                 case RecraftStyle.vector_illustration:
                     return 0.08m;
+                case RecraftStyle.any:
+                    return 99.99m;
                 default:
                     throw new Exception("whoah");
             }
@@ -175,6 +181,10 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 {
                     usingSubstyle = _substyleVector.ToString();
                 }
+                else if (_style == RecraftStyle.any)
+                {
+                    usingSubstyle = "";
+                }
                 else
                 {
                     Console.WriteLine("err.");
diff --git a/RecraftAPI/RecraftStyle.cs b/RecraftAPI/RecraftStyle.cs
index 97cf016..4ae6762 100644
--- a/RecraftAPI/RecraftStyle.cs
+++ b/RecraftAPI/RecraftStyle.cs
@@ -5,5 +5,6 @@ public enum RecraftStyle
         digital_illustration = 1,
         realistic_image = 2,
         vector_illustration = 3,
+        any = 4,
     }
 }

From 568b8e9b514338fda33d5de93bfb0d2d320fc737 Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Thu, 25 Sep 2025 13:46:56 -0700
Subject: [PATCH 47/78] little fixes

---
 .gitignore                                    |   3 +-
 .../Implementation/CreatedBase64Image.cs      |  18 +-
 MultiImageClient/Services/GoogleGenerator.cs  | 432 +++++++++---------
 .../Services/GoogleImagen4Generator.cs        | 432 +++++++++---------
 .../Services/GoogleImagenModels.cs            |  88 ++--
 5 files changed, 487 insertions(+), 486 deletions(-)

diff --git a/.gitignore b/.gitignore
index 86eac92..9fcf071 100644
--- a/.gitignore
+++ b/.gitignore
@@ -8,4 +8,5 @@
 **/ideogram_pages/**
 **/ideogram_data_all.json
 /MultiImageClient/claude-bad.txt
-/djangoManager/imageMaker/logs/django.log
\ No newline at end of file
+/djangoManager/imageMaker/logs/django.log
+gen-lang*.json
diff --git a/MultiImageClient/Implementation/CreatedBase64Image.cs b/MultiImageClient/Implementation/CreatedBase64Image.cs
index d6af51d..dcf37da 100644
--- a/MultiImageClient/Implementation/CreatedBase64Image.cs
+++ b/MultiImageClient/Implementation/CreatedBase64Image.cs
@@ -1,9 +1,9 @@
-namespace MultiImageClient
-{
-    /// some generators return multiple images per query. we sort of mix doing the query with getting the result including saving the new prompt
-    public class CreatedBase64Image
-    {
-        public string bytesBase64 { get; set; }
-        public string newPrompt { get; set; }
-    }
-}
+namespace MultiImageClient
+{
+    /// some generators return multiple images per query. we sort of mix doing the query with getting the result including saving the new prompt
+    public class CreatedBase64Image
+    {
+        public string bytesBase64 { get; set; }
+        public string newPrompt { get; set; }
+    }
+}
diff --git a/MultiImageClient/Services/GoogleGenerator.cs b/MultiImageClient/Services/GoogleGenerator.cs
index 4f3f449..d92f6e3 100644
--- a/MultiImageClient/Services/GoogleGenerator.cs
+++ b/MultiImageClient/Services/GoogleGenerator.cs
@@ -1,217 +1,217 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Net.Http;
-using System.Text;
-using System.Text.Json;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class GoogleGenerator : IImageGenerator
-    {
-        private SemaphoreSlim _googleSemaphore;
-        private HttpClient _httpClient;
-        private string _apiKey;
-        private MultiClientRunStats _stats;
-        private string _name;
-        private ImageGeneratorApiType _apiType;
-
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleNanoBanana;
-
-        public GoogleGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency,
-            MultiClientRunStats stats, string name = "")
-        {
-            _apiKey = apiKey;
-            _googleSemaphore = new SemaphoreSlim(maxConcurrency);
-            _httpClient = new HttpClient();
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-            _stats = stats;
-            _apiType = apiType;
-
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            return $"google-{_apiType}";
-        }
-
-        public decimal GetCost()
-        {
-            // Gemini 2.5 Flash Image uses token-based pricing
-            // $30 per 1 million tokens for image output (1290 tokens per image up to 1024x1024px)
-            if (_apiType == ImageGeneratorApiType.GoogleNanoBanana)
-            {
-                return (30m / 1000000m) * 1290m;
-            }
-            else if (_apiType == ImageGeneratorApiType.GoogleImagen4)
-            {
-                return 0.04m;
-            }
-            else
-            {
-                throw new Exception("E");
-            }
-        }
-
-        public List<string> GetRightParts()
-        {
-            return new List<string> { _apiType.ToString() };
-        }
-
-        public string GetGeneratorSpecPart()
-        {
-            if (string.IsNullOrEmpty(_name))
-            {
-                return $"google-{_apiType.ToString()}";
-            }
-            else
-            {
-                return _name;
-            }
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _googleSemaphore.WaitAsync();
-            try
-            {
-                _stats.GoogleRequestCount++;
-
-                // Google Gemini API endpoint for native image generation (Nano Banana)
-                var apiUrl = $"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image-preview:generateContent";
-
-                var requestBody = new
-                {
-                    contents = new[]
-                    {
-                        new
-                        {
-                            parts = new[]
-                            {
-                                new { text = promptDetails.Prompt }
-                            }
-                        }
-                    },
-                    generationConfig = new
-                    {
-                        responseModalities = new[] { "TEXT", "IMAGE" }
-                    }
-                };
-
-                var json = JsonSerializer.Serialize(requestBody);
-                var content = new StringContent(json, Encoding.UTF8, "application/json");
-
-                // Set API key in header as required by Gemini API
-                var request = new HttpRequestMessage(HttpMethod.Post, apiUrl)
-                {
-                    Content = content
-                };
-                request.Headers.Add("x-goog-api-key", _apiKey);
-
-
-                var response = await _httpClient.SendAsync(request);
-                var responseContent = await response.Content.ReadAsStringAsync();
-
-                if (!response.IsSuccessStatusCode)
-                {
-                    var errorMessage = $"Google Gemini API error: {response.StatusCode} - {responseContent}";
-                    return new TaskProcessResult
-                    {
-                        IsSuccess = false,
-                        ErrorMessage = errorMessage,
-                        PromptDetails = promptDetails,
-                        ImageGenerator = GetImageGeneratorType(),
-                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                    };
-                }
-
-                // Parse Gemini native image generation response
-                var responseData = JsonSerializer.Deserialize<GeminiGenerateContentResponse>(responseContent);
-
-                if (responseData?.candidates?.Length > 0)
-                {
-                    var base64Images = new List<CreatedBase64Image>();
-
-                    foreach (var candidate in responseData.candidates)
-                    {
-                        if (candidate?.content?.parts != null)
-                        {
-                            foreach (var part in candidate.content.parts)
-                            {
-                                // Check for image data in inline_data
-                                if (part.inlineData != null && !string.IsNullOrEmpty(part.inlineData.data))
-                                {
-                                    var bd = new CreatedBase64Image
-                                    {
-                                        bytesBase64 = part.inlineData.data,
-                                        newPrompt = promptDetails.Prompt
-                                    };
-                                    base64Images.Add(bd);
-                                }
-                                // Log any text responses for debugging
-                                else if (!string.IsNullOrEmpty(part.text))
-                                {
-                                    Console.WriteLine($"Gemini text response: {part.text}");
-                                    //throw new Exception("qq");
-                                }
-                            }
-                        }
-                    }
-
-                    if (base64Images.Count > 0)
-                    {
-                        return new TaskProcessResult
-                        {
-                            IsSuccess = true,
-                            Base64ImageDatas = base64Images,
-                            ContentType = "image/png",
-                            ErrorMessage = "",
-                            PromptDetails = promptDetails,
-                            ImageGenerator = GetImageGeneratorType(),
-                            ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                        };
-                    }
-                }
-
-                return new TaskProcessResult
-                {
-                    IsSuccess = false,
-                    ErrorMessage = "No image data returned from Google Gemini API",
-                    PromptDetails = promptDetails,
-                    ImageGenerator = GetImageGeneratorType(),
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                };
-            }
-            catch (Exception ex)
-            {
-                var errorMessage = $"Google Imagen Generator error: {ex.Message}";
-                return new TaskProcessResult
-                {
-                    IsSuccess = false,
-                    ErrorMessage = errorMessage,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = GetImageGeneratorType(),
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                };
-            }
-            finally
-            {
-                _googleSemaphore.Release();
-            }
-        }
-
-        private ImageGeneratorApiType GetImageGeneratorType()
-        {
-            return _apiType;
-        }
-
-        public void Dispose()
-        {
-            _httpClient?.Dispose();
-            _googleSemaphore?.Dispose();
-        }
-    }
-
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Net.Http;
+using System.Text;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class GoogleGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _googleSemaphore;
+        private HttpClient _httpClient;
+        private string _apiKey;
+        private MultiClientRunStats _stats;
+        private string _name;
+        private ImageGeneratorApiType _apiType;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleNanoBanana;
+
+        public GoogleGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency,
+            MultiClientRunStats stats, string name = "")
+        {
+            _apiKey = apiKey;
+            _googleSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _stats = stats;
+            _apiType = apiType;
+
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            return $"google-{_apiType}";
+        }
+
+        public decimal GetCost()
+        {
+            // Gemini 2.5 Flash Image uses token-based pricing
+            // $30 per 1 million tokens for image output (1290 tokens per image up to 1024x1024px)
+            if (_apiType == ImageGeneratorApiType.GoogleNanoBanana)
+            {
+                return (30m / 1000000m) * 1290m;
+            }
+            else if (_apiType == ImageGeneratorApiType.GoogleImagen4)
+            {
+                return 0.04m;
+            }
+            else
+            {
+                throw new Exception("E");
+            }
+        }
+
+        public List<string> GetRightParts()
+        {
+            return new List<string> { _apiType.ToString() };
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"google-{_apiType.ToString()}";
+            }
+            else
+            {
+                return _name;
+            }
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _googleSemaphore.WaitAsync();
+            try
+            {
+                _stats.GoogleRequestCount++;
+
+                // Google Gemini API endpoint for native image generation (Nano Banana)
+                var apiUrl = $"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image-preview:generateContent";
+
+                var requestBody = new
+                {
+                    contents = new[]
+                    {
+                        new
+                        {
+                            parts = new[]
+                            {
+                                new { text = promptDetails.Prompt }
+                            }
+                        }
+                    },
+                    generationConfig = new
+                    {
+                        responseModalities = new[] { "TEXT", "IMAGE" }
+                    }
+                };
+
+                var json = JsonSerializer.Serialize(requestBody);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                // Set API key in header as required by Gemini API
+                var request = new HttpRequestMessage(HttpMethod.Post, apiUrl)
+                {
+                    Content = content
+                };
+                request.Headers.Add("x-goog-api-key", _apiKey);
+
+
+                var response = await _httpClient.SendAsync(request);
+                var responseContent = await response.Content.ReadAsStringAsync();
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var errorMessage = $"Google Gemini API error: {response.StatusCode} - {responseContent}";
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = errorMessage,
+                        PromptDetails = promptDetails,
+                        ImageGenerator = GetImageGeneratorType(),
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                // Parse Gemini native image generation response
+                var responseData = JsonSerializer.Deserialize<GeminiGenerateContentResponse>(responseContent);
+
+                if (responseData?.candidates?.Length > 0)
+                {
+                    var base64Images = new List<CreatedBase64Image>();
+
+                    foreach (var candidate in responseData.candidates)
+                    {
+                        if (candidate?.content?.parts != null)
+                        {
+                            foreach (var part in candidate.content.parts)
+                            {
+                                // Check for image data in inline_data
+                                if (part.inlineData != null && !string.IsNullOrEmpty(part.inlineData.data))
+                                {
+                                    var bd = new CreatedBase64Image
+                                    {
+                                        bytesBase64 = part.inlineData.data,
+                                        newPrompt = promptDetails.Prompt
+                                    };
+                                    base64Images.Add(bd);
+                                }
+                                // Log any text responses for debugging
+                                else if (!string.IsNullOrEmpty(part.text))
+                                {
+                                    Console.WriteLine($"Gemini text response: {part.text}");
+                                    //throw new Exception("qq");
+                                }
+                            }
+                        }
+                    }
+
+                    if (base64Images.Count > 0)
+                    {
+                        return new TaskProcessResult
+                        {
+                            IsSuccess = true,
+                            Base64ImageDatas = base64Images,
+                            ContentType = "image/png",
+                            ErrorMessage = "",
+                            PromptDetails = promptDetails,
+                            ImageGenerator = GetImageGeneratorType(),
+                            ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                        };
+                    }
+                }
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = "No image data returned from Google Gemini API",
+                    PromptDetails = promptDetails,
+                    ImageGenerator = GetImageGeneratorType(),
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            catch (Exception ex)
+            {
+                var errorMessage = $"Google Imagen Generator error: {ex.Message}";
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = errorMessage,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = GetImageGeneratorType(),
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            finally
+            {
+                _googleSemaphore.Release();
+            }
+        }
+
+        private ImageGeneratorApiType GetImageGeneratorType()
+        {
+            return _apiType;
+        }
+
+        public void Dispose()
+        {
+            _httpClient?.Dispose();
+            _googleSemaphore?.Dispose();
+        }
+    }
+
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/GoogleImagen4Generator.cs b/MultiImageClient/Services/GoogleImagen4Generator.cs
index 2824734..bc45362 100644
--- a/MultiImageClient/Services/GoogleImagen4Generator.cs
+++ b/MultiImageClient/Services/GoogleImagen4Generator.cs
@@ -1,216 +1,216 @@
-using System;
-using System.Collections.Generic;
-using System.Net.Http;
-using System.Text;
-using System.Text.Json;
-using System.Threading;
-using System.Threading.Tasks;
-using Google.Apis.Auth.OAuth2;
-using System.IO;
-using Google.Cloud.AIPlatform.V1;
-using Google.Protobuf.WellKnownTypes;
-using System.Linq;
-
-namespace MultiImageClient
-{
-    public class GoogleImagen4Generator : IImageGenerator
-    {
-        private SemaphoreSlim _googleSemaphore;
-        private PredictionServiceClient _predictionServiceClient;
-        private string _apiKey;
-        private MultiClientRunStats _stats;
-        private string _name;
-        private string _aspectRatio;
-        private string _safetyFilterLevel;
-        private bool _addWatermark;
-        private string _location;
-        private string _projectId;
-        private string _googleServiceAccountKeyPath;
-        private GoogleCredential _credential;
-
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleImagen4;
-
-        public GoogleImagen4Generator(string apiKey, int maxConcurrency,
-            MultiClientRunStats stats, string name = "", string aspectRatio = "SQUARE", 
-            string safetyFilterLevel = "BLOCK_NONE", bool addWatermark = false,
-            string location = "us-central1", string projectId = "google-cloud-project-id",
-            string googleServiceAccountKeyPath = null)
-        {
-            _apiKey = apiKey;
-            _googleSemaphore = new SemaphoreSlim(maxConcurrency);
-            _location = location;
-            _projectId = projectId;
-            _googleServiceAccountKeyPath = googleServiceAccountKeyPath;
-
-            if (!string.IsNullOrEmpty(_googleServiceAccountKeyPath))
-            {
-                _credential = GoogleCredential.FromFile(_googleServiceAccountKeyPath)
-                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
-            } else {
-                // Fallback to Application Default Credentials if path is not provided
-                _credential = GoogleCredential.GetApplicationDefault()
-                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
-            }
-
-            _predictionServiceClient = new PredictionServiceClientBuilder
-            {
-                Endpoint = $"{location}-aiplatform.googleapis.com",
-                Credential = _credential
-            }.Build();
-            
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-            _stats = stats;
-            _aspectRatio = aspectRatio;
-            _safetyFilterLevel = safetyFilterLevel;
-            _addWatermark = addWatermark;
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var namePart = string.IsNullOrEmpty(_name) ? "" : $"-{_name}";
-            return $"google-imagen4{namePart}";
-        }
-
-        public decimal GetCost()
-        {
-            // Imagen 4 pricing (higher than Imagen 3)
-            return 0.04m;
-        }
-
-        public List<string> GetRightParts()
-        {
-            var namePart = string.IsNullOrEmpty(_name) ? "" : _name;
-            return new List<string> { "google", "imagen4", namePart };
-        }
-
-        public string GetGeneratorSpecPart()
-        {
-            if (string.IsNullOrEmpty(_name))
-            {
-                return "google-imagen4";
-            }
-            else
-            {
-                return _name;
-            }
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _googleSemaphore.WaitAsync();
-            try
-            {
-                _stats.GoogleRequestCount++;
-
-                // Google Gemini API endpoint for Imagen 4
-                var apiUrl = $"https://{_location}-aiplatform.googleapis.com/v1/projects/{_projectId}/locations/{_location}/publishers/google/models/imagen-4.0-generate-001:predict";
-
-                // Construct the instance for the predict request
-                var instance = new Google.Protobuf.WellKnownTypes.Value
-                {
-                    StructValue = new Google.Protobuf.WellKnownTypes.Struct
-                    {
-                        Fields = 
-                        {
-                            { "prompt", Google.Protobuf.WellKnownTypes.Value.ForString(promptDetails.Prompt) },
-                            { "numberOfImages", Google.Protobuf.WellKnownTypes.Value.ForNumber(1) },
-                            { "aspectRatio", Google.Protobuf.WellKnownTypes.Value.ForString(_aspectRatio) },
-                            { "safetyFilterLevel", Google.Protobuf.WellKnownTypes.Value.ForString(_safetyFilterLevel) },
-                            { "personGeneration", Google.Protobuf.WellKnownTypes.Value.ForString("ALLOW_ADULT") },
-                            { "addWatermark", Google.Protobuf.WellKnownTypes.Value.ForBool(_addWatermark) }
-                        }
-                    }
-                };
-
-                var instances = new List<Google.Protobuf.WellKnownTypes.Value> { instance };
-
-                // Imagen 4 does not use a separate 'config' field in parameters.
-                // Parameters are directly specified in the instance.
-                var parameters = new Google.Protobuf.WellKnownTypes.Value(); // No parameters needed for now.
-
-                var endpoint = EndpointName.FromProjectLocationPublisherModel(_projectId, _location, "google", "imagen-4.0-generate-001");
-                
-                var response = await _predictionServiceClient.PredictAsync(endpoint, instances, parameters);
-                
-                var base64Images = new List<CreatedBase64Image>();
-                string commonMimeType = "image/png"; // Default or first detected mime type
-
-                if (response?.Predictions != null && response.Predictions.Any())
-                {
-                    foreach (var prediction in response.Predictions)
-                    {
-                        if (prediction?.StructValue?.Fields != null)
-                        {
-                            var predictionFields = prediction.StructValue.Fields;
-                            if (predictionFields.ContainsKey("bytesBase64Encoded") && predictionFields.ContainsKey("mimeType"))
-                            {
-                                var imageData = predictionFields["bytesBase64Encoded"].StringValue;
-                                var newPrompt = predictionFields["prompt"].StringValue;
-                                var currentMimeType = predictionFields["mimeType"].StringValue;
-
-                                if (!string.IsNullOrEmpty(imageData))
-                                {
-                                    var bd = new CreatedBase64Image
-                                    {
-                                        bytesBase64= imageData,
-                                        newPrompt = newPrompt,
-                                    };
-
-                                    base64Images.Add(bd);
-                                    if (!string.IsNullOrEmpty(currentMimeType) && (commonMimeType == "image/png")) 
-                                    {
-                                        commonMimeType = currentMimeType; // Use the first valid mime type found if default
-                                    }
-                                }
-                            }
-                        }
-                    }
-                }
-
-                if (base64Images.Count == 0)
-                {
-                    return new TaskProcessResult 
-                    {
-                        IsSuccess = false,
-                        ErrorMessage = "No image data returned from Google Imagen 4 API",
-                        PromptDetails = promptDetails,
-                        ImageGenerator = ImageGeneratorApiType.GoogleImagen4,
-                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                    };
-                }
-
-                return new TaskProcessResult 
-                { 
-                    IsSuccess = true, 
-                    Base64ImageDatas = base64Images,
-                    ContentType = commonMimeType,
-                    ErrorMessage = "", 
-                    PromptDetails = promptDetails, 
-                    ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
-                };
-            }
-            catch (Exception ex)
-            {
-                var errorMessage = $"Google Imagen 4 Generator error: {ex.Message}";
-                return new TaskProcessResult 
-                { 
-                    IsSuccess = false, 
-                    ErrorMessage = errorMessage, 
-                    PromptDetails = promptDetails, 
-                    ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
-                };
-            }
-            finally
-            {
-                _googleSemaphore.Release();
-            }
-        }
-
-        public void Dispose()
-        {
-            _googleSemaphore?.Dispose();
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Net.Http;
+using System.Text;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+using Google.Apis.Auth.OAuth2;
+using System.IO;
+using Google.Cloud.AIPlatform.V1;
+using Google.Protobuf.WellKnownTypes;
+using System.Linq;
+
+namespace MultiImageClient
+{
+    public class GoogleImagen4Generator : IImageGenerator
+    {
+        private SemaphoreSlim _googleSemaphore;
+        private PredictionServiceClient _predictionServiceClient;
+        private string _apiKey;
+        private MultiClientRunStats _stats;
+        private string _name;
+        private string _aspectRatio;
+        private string _safetyFilterLevel;
+        private bool _addWatermark;
+        private string _location;
+        private string _projectId;
+        private string _googleServiceAccountKeyPath;
+        private GoogleCredential _credential;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleImagen4;
+
+        public GoogleImagen4Generator(string apiKey, int maxConcurrency,
+            MultiClientRunStats stats, string name = "", string aspectRatio = "SQUARE", 
+            string safetyFilterLevel = "BLOCK_NONE", bool addWatermark = false,
+            string location = "us-central1", string projectId = "google-cloud-project-id",
+            string googleServiceAccountKeyPath = null)
+        {
+            _apiKey = apiKey;
+            _googleSemaphore = new SemaphoreSlim(maxConcurrency);
+            _location = location;
+            _projectId = projectId;
+            _googleServiceAccountKeyPath = googleServiceAccountKeyPath;
+
+            if (!string.IsNullOrEmpty(_googleServiceAccountKeyPath))
+            {
+                _credential = GoogleCredential.FromFile(_googleServiceAccountKeyPath)
+                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
+            } else {
+                // Fallback to Application Default Credentials if path is not provided
+                _credential = GoogleCredential.GetApplicationDefault()
+                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
+            }
+
+            _predictionServiceClient = new PredictionServiceClientBuilder
+            {
+                Endpoint = $"{location}-aiplatform.googleapis.com",
+                Credential = _credential
+            }.Build();
+            
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _stats = stats;
+            _aspectRatio = aspectRatio;
+            _safetyFilterLevel = safetyFilterLevel;
+            _addWatermark = addWatermark;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var namePart = string.IsNullOrEmpty(_name) ? "" : $"-{_name}";
+            return $"google-imagen4{namePart}";
+        }
+
+        public decimal GetCost()
+        {
+            // Imagen 4 pricing (higher than Imagen 3)
+            return 0.04m;
+        }
+
+        public List<string> GetRightParts()
+        {
+            var namePart = string.IsNullOrEmpty(_name) ? "" : _name;
+            return new List<string> { "google", "imagen4", namePart };
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return "google-imagen4";
+            }
+            else
+            {
+                return _name;
+            }
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _googleSemaphore.WaitAsync();
+            try
+            {
+                _stats.GoogleRequestCount++;
+
+                // Google Gemini API endpoint for Imagen 4
+                var apiUrl = $"https://{_location}-aiplatform.googleapis.com/v1/projects/{_projectId}/locations/{_location}/publishers/google/models/imagen-4.0-generate-001:predict";
+
+                // Construct the instance for the predict request
+                var instance = new Google.Protobuf.WellKnownTypes.Value
+                {
+                    StructValue = new Google.Protobuf.WellKnownTypes.Struct
+                    {
+                        Fields = 
+                        {
+                            { "prompt", Google.Protobuf.WellKnownTypes.Value.ForString(promptDetails.Prompt) },
+                            { "numberOfImages", Google.Protobuf.WellKnownTypes.Value.ForNumber(1) },
+                            { "aspectRatio", Google.Protobuf.WellKnownTypes.Value.ForString(_aspectRatio) },
+                            { "safetyFilterLevel", Google.Protobuf.WellKnownTypes.Value.ForString(_safetyFilterLevel) },
+                            { "personGeneration", Google.Protobuf.WellKnownTypes.Value.ForString("ALLOW_ADULT") },
+                            { "addWatermark", Google.Protobuf.WellKnownTypes.Value.ForBool(_addWatermark) }
+                        }
+                    }
+                };
+
+                var instances = new List<Google.Protobuf.WellKnownTypes.Value> { instance };
+
+                // Imagen 4 does not use a separate 'config' field in parameters.
+                // Parameters are directly specified in the instance.
+                var parameters = new Google.Protobuf.WellKnownTypes.Value(); // No parameters needed for now.
+
+                var endpoint = EndpointName.FromProjectLocationPublisherModel(_projectId, _location, "google", "imagen-4.0-generate-001");
+                
+                var response = await _predictionServiceClient.PredictAsync(endpoint, instances, parameters);
+                
+                var base64Images = new List<CreatedBase64Image>();
+                string commonMimeType = "image/png"; // Default or first detected mime type
+
+                if (response?.Predictions != null && response.Predictions.Any())
+                {
+                    foreach (var prediction in response.Predictions)
+                    {
+                        if (prediction?.StructValue?.Fields != null)
+                        {
+                            var predictionFields = prediction.StructValue.Fields;
+                            if (predictionFields.ContainsKey("bytesBase64Encoded") && predictionFields.ContainsKey("mimeType"))
+                            {
+                                var imageData = predictionFields["bytesBase64Encoded"].StringValue;
+                                var newPrompt = predictionFields["prompt"].StringValue;
+                                var currentMimeType = predictionFields["mimeType"].StringValue;
+
+                                if (!string.IsNullOrEmpty(imageData))
+                                {
+                                    var bd = new CreatedBase64Image
+                                    {
+                                        bytesBase64= imageData,
+                                        newPrompt = newPrompt,
+                                    };
+
+                                    base64Images.Add(bd);
+                                    if (!string.IsNullOrEmpty(currentMimeType) && (commonMimeType == "image/png")) 
+                                    {
+                                        commonMimeType = currentMimeType; // Use the first valid mime type found if default
+                                    }
+                                }
+                            }
+                        }
+                    }
+                }
+
+                if (base64Images.Count == 0)
+                {
+                    return new TaskProcessResult 
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "No image data returned from Google Imagen 4 API",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.GoogleImagen4,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                return new TaskProcessResult 
+                { 
+                    IsSuccess = true, 
+                    Base64ImageDatas = base64Images,
+                    ContentType = commonMimeType,
+                    ErrorMessage = "", 
+                    PromptDetails = promptDetails, 
+                    ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                };
+            }
+            catch (Exception ex)
+            {
+                var errorMessage = $"Google Imagen 4 Generator error: {ex.Message}";
+                return new TaskProcessResult 
+                { 
+                    IsSuccess = false, 
+                    ErrorMessage = errorMessage, 
+                    PromptDetails = promptDetails, 
+                    ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                };
+            }
+            finally
+            {
+                _googleSemaphore.Release();
+            }
+        }
+
+        public void Dispose()
+        {
+            _googleSemaphore?.Dispose();
+        }
+    }
+}
diff --git a/MultiImageClient/Services/GoogleImagenModels.cs b/MultiImageClient/Services/GoogleImagenModels.cs
index aa3987b..1b3cc5c 100644
--- a/MultiImageClient/Services/GoogleImagenModels.cs
+++ b/MultiImageClient/Services/GoogleImagenModels.cs
@@ -1,44 +1,44 @@
-using System.Text.Json.Serialization;
-
-namespace MultiImageClient
-{
-    // Shared response models for Google Imagen API
-    public class GoogleImagenResponse
-    {
-        public GoogleImagenGeneratedImage[] GeneratedImages { get; set; }
-    }
-
-    public class GoogleImagenGeneratedImage
-    {
-        public string BytesBase64Encoded { get; set; }
-        public string MimeType { get; set; }
-    }
-
-    // Response models for Gemini native image generation (Nano Banana)
-    public class GeminiGenerateContentResponse
-    {
-        public GeminiCandidate[] candidates { get; set; }
-    }
-
-    public class GeminiCandidate
-    {
-        public GeminiContent content { get; set; }
-    }
-
-    public class GeminiContent
-    {
-        public GeminiPart[] parts { get; set; }
-    }
-
-    public class GeminiPart
-    {
-        public string text { get; set; }
-        public GeminiInlineData inlineData { get; set; }
-    }
-
-    public class GeminiInlineData
-    {
-        public string mimeType { get; set; }
-        public string data { get; set; }
-    }
-}
+using System.Text.Json.Serialization;
+
+namespace MultiImageClient
+{
+    // Shared response models for Google Imagen API
+    public class GoogleImagenResponse
+    {
+        public GoogleImagenGeneratedImage[] GeneratedImages { get; set; }
+    }
+
+    public class GoogleImagenGeneratedImage
+    {
+        public string BytesBase64Encoded { get; set; }
+        public string MimeType { get; set; }
+    }
+
+    // Response models for Gemini native image generation (Nano Banana)
+    public class GeminiGenerateContentResponse
+    {
+        public GeminiCandidate[] candidates { get; set; }
+    }
+
+    public class GeminiCandidate
+    {
+        public GeminiContent content { get; set; }
+    }
+
+    public class GeminiContent
+    {
+        public GeminiPart[] parts { get; set; }
+    }
+
+    public class GeminiPart
+    {
+        public string text { get; set; }
+        public GeminiInlineData inlineData { get; set; }
+    }
+
+    public class GeminiInlineData
+    {
+        public string mimeType { get; set; }
+        public string data { get; set; }
+    }
+}

From 2d39cceedbad36b5a0844767a275e79eefab6f9d Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Fri, 26 Sep 2025 00:26:02 -0700
Subject: [PATCH 48/78] fixes etc

---
 MultiImageClient/GeneratorGroups.cs                 |  2 +-
 MultiImageClient/Program.cs                         | 10 +++++++---
 MultiImageClient/Services/GoogleImagen4Generator.cs |  2 +-
 MultiImageClient/Services/RecraftGenerator.cs       | 10 +++++-----
 4 files changed, 14 insertions(+), 10 deletions(-)

diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index bb82370..6041576 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -51,7 +51,7 @@ public IEnumerable<IImageGenerator> GetAll()
             var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", true, 1024, 1024, _stats, "");
 
             var gptimage1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
-            var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "high", OpenAIGPTImageOneQuality.auto, _stats, "");
+            var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.auto, _stats, "");
 
             //var google_nano = new GoogleGenerator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "nano-banana", "gemini-2.5-flash-image");
             //var google_flash = new GoogleGenerator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "flash", "gemini-1.5-flash");
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 2dda6e3..ff2c3de 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -55,10 +55,13 @@ static async Task Main(string[] args)
             var promptSource = new ReadAllPromptsFromFile(settings, "");
             
             var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
-            var claudeStep = new ClaudeRewriteStep("Please take the following topic and make it specific; cast the die, take a chance, and expand it to a longer, detailed, specific description of a scene with all the elements of it described. Describe how the thing looks, feels, appears, etc in high detail. Put the most important aspects first such as the overall description, then continue by expanding that and adding more detail, structure, theme. Be specific in whatevr you do. If it seems appropriate, if a man appears don't just say 'the man', but instead actually give him a name, traits, personality, etc. The goal is to deeply expand the world envisioned by the original topic creator. Overall, follow the implied theem and goals of the creator, but just expand it into much more specifics and concreate actualization. Never use phrases or words like 'diverse', 'vibrant' etc. Be very concrete and precise in your descriptions, similar to how ansel adams describing a new treasured species of bird would - detailed, caring, dense, clear, sharp, speculative and never wordy or fluffy. every single word you say must be relevant to the goal of increasing the info you share about this image or sitaution or scene. Be direct and clear.", "", claudeService, 0.4m, stats);
+            //var claudeStep = new ClaudeRewriteStep("Please take the following topic and make it specific; cast the die, take a chance, and expand it to a longer, detailed, specific description of a scene with all the elements of it described. Describe how the thing looks, feels, appears, etc in high detail. Put the most important aspects first such as the overall description, then continue by expanding that and adding more detail, structure, theme. Be specific in whatevr you do. If it seems appropriate, if a man appears don't just say 'the man', but instead actually give him a name, traits, personality, etc. The goal is to deeply expand the world envisioned by the original topic creator. Overall, follow the implied theem and goals of the creator, but just expand it into much more specifics and concreate actualization. Never use phrases or words like 'diverse', 'vibrant' etc. Be very concrete and precise in your descriptions, similar to how ansel adams describing a new treasured species of bird would - detailed, caring, dense, clear, sharp, speculative and never wordy or fluffy. every single word you say must be relevant to the goal of increasing the info you share about this image or sitaution or scene. Be direct and clear.", "", claudeService, 0.4m, stats);
 
-            //var steps = new List<ITransformationStep>() { claudeStep};
-            var steps = new List<ITransformationStep>() {  };
+            var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of 10 specific items describing material, color, mood, tone, position in the image, and symbolic purpose", "", claudeService, 0.4m, stats);
+
+
+            var steps = new List<ITransformationStep>() { claudeStep};
+            //var steps = new List<ITransformationStep>() {  };
 
 
             /// ------------------- MAKING SERVICES ----------------------------
@@ -97,6 +100,7 @@ static async Task Main(string[] args)
 
                 if (promptString.Prompt.Length == 0)
                 {
+                    Console.WriteLine("no leng?");
                     continue;
                 }
 
diff --git a/MultiImageClient/Services/GoogleImagen4Generator.cs b/MultiImageClient/Services/GoogleImagen4Generator.cs
index bc45362..8c97d6d 100644
--- a/MultiImageClient/Services/GoogleImagen4Generator.cs
+++ b/MultiImageClient/Services/GoogleImagen4Generator.cs
@@ -80,7 +80,7 @@ public decimal GetCost()
         public List<string> GetRightParts()
         {
             var namePart = string.IsNullOrEmpty(_name) ? "" : _name;
-            return new List<string> { "google", "imagen4", namePart };
+            return new List<string> { "imagen4", namePart };
         }
 
         public string GetGeneratorSpecPart()
diff --git a/MultiImageClient/Services/RecraftGenerator.cs b/MultiImageClient/Services/RecraftGenerator.cs
index 1b9ea64..1c593f7 100644
--- a/MultiImageClient/Services/RecraftGenerator.cs
+++ b/MultiImageClient/Services/RecraftGenerator.cs
@@ -41,15 +41,15 @@ public string GetGeneratorSpecPart()
                 var usingSubstyle = "";
                 if (_style == RecraftStyle.digital_illustration)
                 {
-                    usingSubstyle = _substyleDigital.ToString();
+                    usingSubstyle = "\n" + _substyleDigital.ToString();
                 }
                 else if (_style == RecraftStyle.realistic_image)
                 {
-                    usingSubstyle = _substyleRealistic.ToString();
+                    usingSubstyle = "\n" + _substyleRealistic.ToString();
                 }
                 else if (_style == RecraftStyle.vector_illustration)
                 {
-                    usingSubstyle = _substyleVector.ToString();
+                    usingSubstyle = "\n"+_substyleVector.ToString();
                 }
                 else if (_style == RecraftStyle.any)
                 {
@@ -60,7 +60,7 @@ public string GetGeneratorSpecPart()
                     throw new Exception("x");
                 }
                 var alpart = "";
-                if (_artistic_level != "0")
+                if (!string.IsNullOrEmpty(_artistic_level) && _artistic_level != "0" )
                 {
                     alpart = $"\nartistic level {_artistic_level}";
                 }
@@ -236,7 +236,7 @@ public string GetFullStyleName(string style, string substyle)
                 case "vector_illustration":
                     return $"{nameof(RecraftStyle.vector_illustration)} - {substyle}";
                 case "any":
-                    return "Any Style";
+                    return "Any";
                 default:
                     return "Unknown";
             }

From d048dbbe4e2d0622e768249bca3bacce3d863609 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Fri, 26 Sep 2025 00:44:03 -0700
Subject: [PATCH 49/78] ideogram describe

---
 IdeogramAPI/IdeogramClient.cs                 | 26 +++++++++++++++++++
 .../request/IdeogramDescribeRequest.cs        | 12 +++++++++
 .../response/IdeogramDescribeResponse.cs      | 17 ++++++++++++
 MultiImageClient/Program.cs                   |  9 ++++---
 4 files changed, 61 insertions(+), 3 deletions(-)
 create mode 100644 IdeogramAPI/request/IdeogramDescribeRequest.cs
 create mode 100644 IdeogramAPI/response/IdeogramDescribeResponse.cs

diff --git a/IdeogramAPI/IdeogramClient.cs b/IdeogramAPI/IdeogramClient.cs
index 4358c68..8544c46 100644
--- a/IdeogramAPI/IdeogramClient.cs
+++ b/IdeogramAPI/IdeogramClient.cs
@@ -42,5 +42,31 @@ public async Task<GenerateResponse> GenerateImageAsync(IdeogramGenerateRequest r
             var generateResponse = JsonConvert.DeserializeObject<GenerateResponse>(content);
             return generateResponse;
         }        
+
+        public async Task<IdeogramDescribeResponse> DescribeImageAsync(IdeogramDescribeRequest request)
+        {
+            using (var formData = new MultipartFormDataContent())
+            {
+                var imageContent = new ByteArrayContent(request.ImageFile);
+                formData.Add(imageContent, "image_file", "image.png"); // Assuming image.png as a default filename
+
+                if (!string.IsNullOrEmpty(request.DescribeModelVersion))
+                {
+                    formData.Add(new StringContent(request.DescribeModelVersion), "describe_model_version");
+                }
+
+                var response = await _httpClient.PostAsync("/describe", formData);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var errorContent = await response.Content.ReadAsStringAsync();
+                    throw new HttpRequestException($"API request failed with status code {response.StatusCode}. Response: {errorContent}");
+                }
+
+                var content = await response.Content.ReadAsStringAsync();
+                var describeResponse = JsonConvert.DeserializeObject<IdeogramDescribeResponse>(content);
+                return describeResponse;
+            }
+        }
     }
 }
diff --git a/IdeogramAPI/request/IdeogramDescribeRequest.cs b/IdeogramAPI/request/IdeogramDescribeRequest.cs
new file mode 100644
index 0000000..d017bf8
--- /dev/null
+++ b/IdeogramAPI/request/IdeogramDescribeRequest.cs
@@ -0,0 +1,12 @@
+using System;
+using System.IO;
+using Newtonsoft.Json;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramDescribeRequest
+    {
+        public byte[] ImageFile { get; set; }
+        public string DescribeModelVersion { get; set; };
+    }
+}
diff --git a/IdeogramAPI/response/IdeogramDescribeResponse.cs b/IdeogramAPI/response/IdeogramDescribeResponse.cs
new file mode 100644
index 0000000..1bb0e40
--- /dev/null
+++ b/IdeogramAPI/response/IdeogramDescribeResponse.cs
@@ -0,0 +1,17 @@
+using Newtonsoft.Json;
+using System.Collections.Generic;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramDescription
+    {
+        [JsonProperty("text")]
+        public string Text { get; set; }
+    }
+
+    public class IdeogramDescribeResponse
+    {
+        [JsonProperty("descriptions")]
+        public List<IdeogramDescription> Descriptions { get; set; }
+    }
+}
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index ff2c3de..dab3333 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -52,16 +52,19 @@ static async Task Main(string[] args)
             var stats = new MultiClientRunStats();
             var getter = new GeneratorGroups(settings, concurrency, stats);
 
-            var promptSource = new ReadAllPromptsFromFile(settings, "");
+            var ideogramClient = new IdeogramClient(settings.IdeogramApiKey);
             
+            var promptSource = new ReadAllPromptsFromFile(settings, "");
+
+          
             var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
             //var claudeStep = new ClaudeRewriteStep("Please take the following topic and make it specific; cast the die, take a chance, and expand it to a longer, detailed, specific description of a scene with all the elements of it described. Describe how the thing looks, feels, appears, etc in high detail. Put the most important aspects first such as the overall description, then continue by expanding that and adding more detail, structure, theme. Be specific in whatevr you do. If it seems appropriate, if a man appears don't just say 'the man', but instead actually give him a name, traits, personality, etc. The goal is to deeply expand the world envisioned by the original topic creator. Overall, follow the implied theem and goals of the creator, but just expand it into much more specifics and concreate actualization. Never use phrases or words like 'diverse', 'vibrant' etc. Be very concrete and precise in your descriptions, similar to how ansel adams describing a new treasured species of bird would - detailed, caring, dense, clear, sharp, speculative and never wordy or fluffy. every single word you say must be relevant to the goal of increasing the info you share about this image or sitaution or scene. Be direct and clear.", "", claudeService, 0.4m, stats);
 
             var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of 10 specific items describing material, color, mood, tone, position in the image, and symbolic purpose", "", claudeService, 0.4m, stats);
 
 
-            var steps = new List<ITransformationStep>() { claudeStep};
-            //var steps = new List<ITransformationStep>() {  };
+            //var steps = new List<ITransformationStep>() { claudeStep};
+            var steps = new List<ITransformationStep>() {  };
 
 
             /// ------------------- MAKING SERVICES ----------------------------

From 4fb84c3274e931cb43407e4cdfd89130800184b1 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Fri, 26 Sep 2025 15:04:34 -0700
Subject: [PATCH 50/78] fixups

---
 .../request/IdeogramDescribeRequest.cs        |  2 +-
 MultiImageClient/GeneratorGroups.cs           | 15 ++----
 .../Services/GoogleImagen4Generator.cs        | 54 ++++++++++---------
 .../Services/IdeogramGenerator.cs             |  2 +-
 4 files changed, 36 insertions(+), 37 deletions(-)

diff --git a/IdeogramAPI/request/IdeogramDescribeRequest.cs b/IdeogramAPI/request/IdeogramDescribeRequest.cs
index d017bf8..d16d3bc 100644
--- a/IdeogramAPI/request/IdeogramDescribeRequest.cs
+++ b/IdeogramAPI/request/IdeogramDescribeRequest.cs
@@ -7,6 +7,6 @@ namespace IdeogramAPIClient
     public class IdeogramDescribeRequest
     {
         public byte[] ImageFile { get; set; }
-        public string DescribeModelVersion { get; set; };
+        public string DescribeModelVersion { get; set; }
     }
 }
diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index 6041576..94f531d 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -46,26 +46,21 @@ public IEnumerable<IImageGenerator> GetAll()
             var ideogram2 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, _stats, "");
             var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2A, _stats, "");
             var ideogram4 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, _stats, "");
-            //var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
+            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
             var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024, _stats, "");
             var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", true, 1024, 1024, _stats, "");
 
             var gptimage1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
             var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.auto, _stats, "");
 
-            //var google_nano = new GoogleGenerator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "nano-banana", "gemini-2.5-flash-image");
-            //var google_flash = new GoogleGenerator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "flash", "gemini-1.5-flash");
-
             //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
 
             var google_banana = new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana, _settings.GoogleGeminiApiKey, _concurrency, _stats);
-            var googleimagen = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats,
-                                                    location: _settings.GoogleCloudLocation,
-                                                    projectId: _settings.GoogleCloudProjectId,
-                                                    googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
-            var myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, ideogram4, recraft_any, ideogram3, dalle3, bfl2, bfl3, recraft8, recraft9, google_banana, googleimagen};
-            //myGenerators = new List<IImageGenerator>() { recraft_any };
+            var googleimagen = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "", "2:5", "BLOCK_NONE", location: _settings.GoogleCloudLocation, projectId: _settings.GoogleCloudProjectId, googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
+            //recraft8, recraft9, 
+            var myGenerators = new List<IImageGenerator>() { gptimage1_1, ideogram3, ideogram4, recraft_any,dalle3,bfl1, bfl2, bfl3, google_banana, googleimagen, recraft_any };
+            //var myGenerators = new List<IImageGenerator>() { googleimagen};
 
             return myGenerators;
         }
diff --git a/MultiImageClient/Services/GoogleImagen4Generator.cs b/MultiImageClient/Services/GoogleImagen4Generator.cs
index 8c97d6d..605e5c4 100644
--- a/MultiImageClient/Services/GoogleImagen4Generator.cs
+++ b/MultiImageClient/Services/GoogleImagen4Generator.cs
@@ -31,10 +31,13 @@ public class GoogleImagen4Generator : IImageGenerator
         public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleImagen4;
 
         public GoogleImagen4Generator(string apiKey, int maxConcurrency,
-            MultiClientRunStats stats, string name = "", string aspectRatio = "SQUARE", 
-            string safetyFilterLevel = "BLOCK_NONE", bool addWatermark = false,
-            string location = "us-central1", string projectId = "google-cloud-project-id",
-            string googleServiceAccountKeyPath = null)
+            MultiClientRunStats stats, string name, 
+            string aspectRatio, 
+            string safetyFilterLevel, 
+            string location, 
+            string projectId,
+            string googleServiceAccountKeyPath)
+
         {
             _apiKey = apiKey;
             _googleSemaphore = new SemaphoreSlim(maxConcurrency);
@@ -47,7 +50,6 @@ public GoogleImagen4Generator(string apiKey, int maxConcurrency,
                 _credential = GoogleCredential.FromFile(_googleServiceAccountKeyPath)
                     .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
             } else {
-                // Fallback to Application Default Credentials if path is not provided
                 _credential = GoogleCredential.GetApplicationDefault()
                     .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
             }
@@ -62,7 +64,6 @@ public GoogleImagen4Generator(string apiKey, int maxConcurrency,
             _stats = stats;
             _aspectRatio = aspectRatio;
             _safetyFilterLevel = safetyFilterLevel;
-            _addWatermark = addWatermark;
         }
 
         public string GetFilenamePart(PromptDetails pd)
@@ -115,8 +116,11 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                             { "prompt", Google.Protobuf.WellKnownTypes.Value.ForString(promptDetails.Prompt) },
                             { "numberOfImages", Google.Protobuf.WellKnownTypes.Value.ForNumber(1) },
                             { "aspectRatio", Google.Protobuf.WellKnownTypes.Value.ForString(_aspectRatio) },
+                            { "enhancePrompt", Google.Protobuf.WellKnownTypes.Value.ForBool(true) },
+                            { "includeRaiReason", Google.Protobuf.WellKnownTypes.Value.ForBool(true) },
                             { "safetyFilterLevel", Google.Protobuf.WellKnownTypes.Value.ForString(_safetyFilterLevel) },
-                            { "personGeneration", Google.Protobuf.WellKnownTypes.Value.ForString("ALLOW_ADULT") },
+                            { "safetySetting", Google.Protobuf.WellKnownTypes.Value.ForString("block_only_high") },
+                            { "personGeneration", Google.Protobuf.WellKnownTypes.Value.ForString("ALLOW_ALL") },
                             { "addWatermark", Google.Protobuf.WellKnownTypes.Value.ForBool(_addWatermark) }
                         }
                     }
@@ -138,33 +142,33 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 if (response?.Predictions != null && response.Predictions.Any())
                 {
                     foreach (var prediction in response.Predictions)
-                    {
-                        if (prediction?.StructValue?.Fields != null)
                         {
-                            var predictionFields = prediction.StructValue.Fields;
-                            if (predictionFields.ContainsKey("bytesBase64Encoded") && predictionFields.ContainsKey("mimeType"))
+                            if (prediction?.StructValue?.Fields != null)
                             {
-                                var imageData = predictionFields["bytesBase64Encoded"].StringValue;
-                                var newPrompt = predictionFields["prompt"].StringValue;
-                                var currentMimeType = predictionFields["mimeType"].StringValue;
-
-                                if (!string.IsNullOrEmpty(imageData))
+                                var predictionFields = prediction.StructValue.Fields;
+                                if (predictionFields.ContainsKey("bytesBase64Encoded") && predictionFields.ContainsKey("mimeType"))
                                 {
-                                    var bd = new CreatedBase64Image
-                                    {
-                                        bytesBase64= imageData,
-                                        newPrompt = newPrompt,
-                                    };
+                                    var imageData = predictionFields["bytesBase64Encoded"].StringValue;
+                                    var newPrompt = predictionFields["prompt"].StringValue;
+                                    var currentMimeType = predictionFields["mimeType"].StringValue;
 
-                                    base64Images.Add(bd);
-                                    if (!string.IsNullOrEmpty(currentMimeType) && (commonMimeType == "image/png")) 
+                                    if (!string.IsNullOrEmpty(imageData))
                                     {
-                                        commonMimeType = currentMimeType; // Use the first valid mime type found if default
+                                        var bd = new CreatedBase64Image
+                                        {
+                                            bytesBase64 = imageData,
+                                            newPrompt = newPrompt,
+                                        };
+
+                                        base64Images.Add(bd);
+                                        if (!string.IsNullOrEmpty(currentMimeType) && (commonMimeType == "image/png"))
+                                        {
+                                            commonMimeType = currentMimeType; // Use the first valid mime type found if default
+                                        }
                                     }
                                 }
                             }
                         }
-                    }
                 }
 
                 if (base64Images.Count == 0)
diff --git a/MultiImageClient/Services/IdeogramGenerator.cs b/MultiImageClient/Services/IdeogramGenerator.cs
index d001a3d..e68d004 100644
--- a/MultiImageClient/Services/IdeogramGenerator.cs
+++ b/MultiImageClient/Services/IdeogramGenerator.cs
@@ -172,7 +172,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                     {
                         //there is only actually one ever.
                         var returnedPrompt = imageObject.Prompt;
-                        if (returnedPrompt != promptDetails.Prompt)
+                        if (returnedPrompt != promptDetails.Prompt && returnedPrompt.Replace("  ", " ") != promptDetails.Prompt.Replace("  ", " "))
                         {
                             //Ideogram replaced the prompt.
                             promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.IdeogramRewrite);

From 339ad65628e49736e8c812c65ddc06c1ea9d16c7 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sat, 27 Sep 2025 12:02:51 -0700
Subject: [PATCH 51/78] Ideogram v3

---
 IdeogramAPI/IdeogramClient.cs                 |  94 +++++++++
 IdeogramAPI/request/IdeogramFile.cs           |  21 ++
 .../request/IdeogramV3GenerateRequest.cs      |  44 ++++
 .../request/options/IdeogramRenderingSpeed.cs |  11 +
 .../request/options/IdeogramV3StyleType.cs    |  11 +
 .../response/V3/IdeogramV3GenerateResponse.cs |  16 ++
 .../response/V3/IdeogramV3ImageObject.cs      |  26 +++
 .../Enums/GeneratorApiTypeExtensions.cs       |   1 +
 .../Enums/ImageGeneratorApiType.cs            |   1 +
 MultiImageClient/GeneratorGroups.cs           |  11 +-
 .../Implementation/MultiClientRunStats.cs     |   6 +
 .../Services/IdeogramGenerator.cs             |   4 +-
 .../Services/IdeogramV3Generator.cs           | 188 ++++++++++++++++++
 13 files changed, 428 insertions(+), 6 deletions(-)
 create mode 100644 IdeogramAPI/request/IdeogramFile.cs
 create mode 100644 IdeogramAPI/request/IdeogramV3GenerateRequest.cs
 create mode 100644 IdeogramAPI/request/options/IdeogramRenderingSpeed.cs
 create mode 100644 IdeogramAPI/request/options/IdeogramV3StyleType.cs
 create mode 100644 IdeogramAPI/response/V3/IdeogramV3GenerateResponse.cs
 create mode 100644 IdeogramAPI/response/V3/IdeogramV3ImageObject.cs
 create mode 100644 MultiImageClient/Services/IdeogramV3Generator.cs

diff --git a/IdeogramAPI/IdeogramClient.cs b/IdeogramAPI/IdeogramClient.cs
index 8544c46..706bf69 100644
--- a/IdeogramAPI/IdeogramClient.cs
+++ b/IdeogramAPI/IdeogramClient.cs
@@ -5,6 +5,8 @@
 using Newtonsoft.Json.Converters;
 using System.Collections.Generic;
 using System.IO;
+using System.Linq;
+using System.Net.Http.Headers;
 
 namespace IdeogramAPIClient
 {
@@ -43,6 +45,58 @@ public async Task<GenerateResponse> GenerateImageAsync(IdeogramGenerateRequest r
             return generateResponse;
         }        
 
+        public async Task<IdeogramV3GenerateResponse> GenerateImageV3Async(IdeogramV3GenerateRequest request)
+        {
+            if (request == null)
+                throw new ArgumentNullException(nameof(request));
+
+            if (string.IsNullOrWhiteSpace(request.Prompt))
+                throw new ArgumentException("Prompt is required for Ideogram v3 generation.", nameof(request));
+
+            using (var formData = new MultipartFormDataContent())
+            {
+                formData.Add(new StringContent(request.Prompt), "prompt");
+
+                AddStringPart(formData, "aspect_ratio", request.AspectRatio.ToString());
+                AddStringPart(formData, "rendering_speed", request.RenderingSpeed.ToString());
+                AddStringPart(formData, "magic_prompt", request.MagicPrompt.ToString());
+                AddStringPart(formData, "style_type", request.StyleType.ToString());
+                //AddStringPart(formData, "style_preset", request.StylePreset);
+                //AddStringPart(formData, "negative_prompt", request.NegativePrompt);
+                //AddIntPart(formData, "num_images", request.NumImages);
+                //AddIntPart(formData, "seed", request.Seed);
+
+                //if (request.StyleCodes != null)
+                //{
+                //    foreach (var styleCode in request.StyleCodes.Where(c => !string.IsNullOrWhiteSpace(c)))
+                //    {
+                //        formData.Add(new StringContent(styleCode), "style_codes");
+                //    }
+                //}
+
+                //AddFileParts(formData, "style_reference_images", request.StyleReferenceImages);
+                //AddFileParts(formData, "character_reference_images", request.CharacterReferenceImages);
+                //AddFileParts(formData, "character_reference_images_mask", request.CharacterReferenceImageMasks);
+
+                var response = await _httpClient.PostAsync("/v1/ideogram-v3/generate", formData);
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var errorContent = await response.Content.ReadAsStringAsync();
+                    throw new HttpRequestException($"API request failed with status code {response.StatusCode}. Response: {errorContent}");
+                }
+
+                var content = await response.Content.ReadAsStringAsync();
+                var generateResponse = JsonConvert.DeserializeObject<IdeogramV3GenerateResponse>(content);
+                if (generateResponse == null)
+                {
+                    throw new InvalidDataException("Failed to deserialize Ideogram v3 response.");
+                }
+
+                return generateResponse;
+            }
+        }
+
         public async Task<IdeogramDescribeResponse> DescribeImageAsync(IdeogramDescribeRequest request)
         {
             using (var formData = new MultipartFormDataContent())
@@ -68,5 +122,45 @@ public async Task<IdeogramDescribeResponse> DescribeImageAsync(IdeogramDescribeR
                 return describeResponse;
             }
         }
+
+        private static void AddStringPart(MultipartFormDataContent formData, string name, string? value)
+        {
+            if (!string.IsNullOrWhiteSpace(value))
+            {
+                formData.Add(new StringContent(value), name);
+            }
+        }
+
+        private static void AddIntPart(MultipartFormDataContent formData, string name, int? value)
+        {
+            if (value.HasValue)
+            {
+                formData.Add(new StringContent(value.Value.ToString()), name);
+            }
+        }
+
+        private static void AddEnumPart<T>(MultipartFormDataContent formData, string name, T? value) where T : struct, Enum
+        {
+            if (value.HasValue)
+            {
+                formData.Add(new StringContent(value.Value.ToString()), name);
+            }
+        }
+
+        private static void AddFileParts(MultipartFormDataContent formData, string fieldName, IEnumerable<IdeogramFile> files)
+        {
+            if (files == null)
+                return;
+
+            foreach (var file in files)
+            {
+                if (file?.Content == null || file.Content.Length == 0)
+                    continue;
+
+                var fileContent = new ByteArrayContent(file.Content);
+                fileContent.Headers.ContentType = new MediaTypeHeaderValue(file.ContentType);
+                formData.Add(fileContent, fieldName, file.FileName);
+            }
+        }
     }
 }
diff --git a/IdeogramAPI/request/IdeogramFile.cs b/IdeogramAPI/request/IdeogramFile.cs
new file mode 100644
index 0000000..aa0df3d
--- /dev/null
+++ b/IdeogramAPI/request/IdeogramFile.cs
@@ -0,0 +1,21 @@
+using System;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramFile
+    {
+        public IdeogramFile(byte[] content, string fileName, string contentType = "application/octet-stream")
+        {
+            Content = content ?? throw new ArgumentNullException(nameof(content));
+            FileName = string.IsNullOrWhiteSpace(fileName) ? "file" : fileName;
+            ContentType = string.IsNullOrWhiteSpace(contentType) ? "application/octet-stream" : contentType;
+        }
+
+        public byte[] Content { get; }
+
+        public string FileName { get; }
+
+        public string ContentType { get; }
+    }
+}
+
diff --git a/IdeogramAPI/request/IdeogramV3GenerateRequest.cs b/IdeogramAPI/request/IdeogramV3GenerateRequest.cs
new file mode 100644
index 0000000..8f746de
--- /dev/null
+++ b/IdeogramAPI/request/IdeogramV3GenerateRequest.cs
@@ -0,0 +1,44 @@
+using System;
+using System.Collections.Generic;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramV3GenerateRequest
+    {
+        public IdeogramV3GenerateRequest(string prompt)
+        {
+            if (string.IsNullOrWhiteSpace(prompt))
+                throw new ArgumentException("Prompt is required.", nameof(prompt));
+
+            Prompt = prompt;
+        }
+
+        public string Prompt { get; }
+
+        public string AspectRatio { get; set; }
+
+
+        public IdeogramRenderingSpeed? RenderingSpeed { get; set; }
+
+        public IdeogramMagicPromptOption? MagicPrompt { get; set; }
+
+        public IdeogramV3StyleType StyleType { get; set; }
+
+        public string? StylePreset { get; set; }
+
+        public string? NegativePrompt { get; set; }
+
+        public int? NumImages { get; set; }
+
+        public int? Seed { get; set; }
+
+        public IList<string> StyleCodes { get; } = new List<string>();
+
+        public IList<IdeogramFile> StyleReferenceImages { get; } = new List<IdeogramFile>();
+
+        public IList<IdeogramFile> CharacterReferenceImages { get; } = new List<IdeogramFile>();
+
+        public IList<IdeogramFile> CharacterReferenceImageMasks { get; } = new List<IdeogramFile>();
+    }
+}
+
diff --git a/IdeogramAPI/request/options/IdeogramRenderingSpeed.cs b/IdeogramAPI/request/options/IdeogramRenderingSpeed.cs
new file mode 100644
index 0000000..98479b0
--- /dev/null
+++ b/IdeogramAPI/request/options/IdeogramRenderingSpeed.cs
@@ -0,0 +1,11 @@
+namespace IdeogramAPIClient
+{
+    public enum IdeogramRenderingSpeed
+    {
+        FLASH,
+        TURBO,
+        DEFAULT,
+        QUALITY
+    }
+}
+
diff --git a/IdeogramAPI/request/options/IdeogramV3StyleType.cs b/IdeogramAPI/request/options/IdeogramV3StyleType.cs
new file mode 100644
index 0000000..b8cb554
--- /dev/null
+++ b/IdeogramAPI/request/options/IdeogramV3StyleType.cs
@@ -0,0 +1,11 @@
+namespace IdeogramAPIClient
+{
+    public enum IdeogramV3StyleType
+    {
+        AUTO,
+        GENERAL,
+        REALISTIC,
+        DESIGN,
+        FICTION,
+    }
+}
diff --git a/IdeogramAPI/response/V3/IdeogramV3GenerateResponse.cs b/IdeogramAPI/response/V3/IdeogramV3GenerateResponse.cs
new file mode 100644
index 0000000..1d44093
--- /dev/null
+++ b/IdeogramAPI/response/V3/IdeogramV3GenerateResponse.cs
@@ -0,0 +1,16 @@
+using System;
+using System.Collections.Generic;
+using Newtonsoft.Json;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramV3GenerateResponse
+    {
+        [JsonProperty("created")]
+        public DateTime Created { get; set; }
+
+        [JsonProperty("data")]
+        public List<IdeogramV3ImageObject> Data { get; set; } = new List<IdeogramV3ImageObject>();
+    }
+}
+
diff --git a/IdeogramAPI/response/V3/IdeogramV3ImageObject.cs b/IdeogramAPI/response/V3/IdeogramV3ImageObject.cs
new file mode 100644
index 0000000..1cf4037
--- /dev/null
+++ b/IdeogramAPI/response/V3/IdeogramV3ImageObject.cs
@@ -0,0 +1,26 @@
+using Newtonsoft.Json;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramV3ImageObject
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; } = string.Empty;
+
+        [JsonProperty("resolution")]
+        public string Resolution { get; set; } = string.Empty;
+
+        [JsonProperty("is_image_safe")]
+        public bool IsImageSafe { get; set; }
+
+        [JsonProperty("seed")]
+        public int Seed { get; set; }
+
+        [JsonProperty("url")]
+        public string Url { get; set; } = string.Empty;
+
+        [JsonProperty("style_type")]
+        public string StyleType { get; set; } = string.Empty;
+    }
+}
+
diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index 5f89281..7e55f28 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -20,6 +20,7 @@ public static string GetFileExtension(this ImageGeneratorApiType generator)
                 ImageGeneratorApiType.GptImage1 => ".png",
                 ImageGeneratorApiType.GoogleNanoBanana => ".png",
                 ImageGeneratorApiType.GoogleImagen4 => ".png",
+                ImageGeneratorApiType.IdeogramV3 => ".png",
                 _ => throw new ArgumentException("Unknown image generator type while picking file extension:", nameof(generator))
             };
         }
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index afc2151..78d646d 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -13,5 +13,6 @@ public enum ImageGeneratorApiType
         BFLv11Ultra = 7,
         GoogleNanoBanana = 8,
         GoogleImagen4 = 9,
+        IdeogramV3 = 10,
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index 94f531d..46f3ec9 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -46,6 +46,7 @@ public IEnumerable<IImageGenerator> GetAll()
             var ideogram2 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, _stats, "");
             var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2A, _stats, "");
             var ideogram4 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, _stats, "");
+            var ideogramV3 = new IdeogramV3Generator(_settings.IdeogramApiKey, _concurrency, IdeogramV3StyleType.AUTO, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramRenderingSpeed.QUALITY, "", _stats, "" );
             var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
             var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024, _stats, "");
             var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", true, 1024, 1024, _stats, "");
@@ -59,13 +60,17 @@ public IEnumerable<IImageGenerator> GetAll()
             var google_banana = new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana, _settings.GoogleGeminiApiKey, _concurrency, _stats);
             var googleimagen = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "", "2:5", "BLOCK_NONE", location: _settings.GoogleCloudLocation, projectId: _settings.GoogleCloudProjectId, googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
             //recraft8, recraft9, 
-            var myGenerators = new List<IImageGenerator>() { gptimage1_1, ideogram3, ideogram4, recraft_any,dalle3,bfl1, bfl2, bfl3, google_banana, googleimagen, recraft_any };
-            //var myGenerators = new List<IImageGenerator>() { googleimagen};
+
+            var myGenerators = new List<IImageGenerator>() { };
+            myGenerators = new List<IImageGenerator>() { dalle3, ideogram1, ideogram2, ideogram3, ideogram4, ideogramV3, recraft1, recraft2, recraft3, recraft4, recraft5, bfl1, bfl2, bfl3, gptimage1_1, gptimage1_2, google_banana, googleimagen };
+            myGenerators = new List<IImageGenerator>() { gptimage1_1, ideogram3, ideogram4, ideogramV3, recraft_any, dalle3, bfl1, bfl2, bfl3, google_banana, googleimagen, recraft_any };
+
+            //myGenerators = new List<IImageGenerator>() { ideogramV3 };
 
             return myGenerators;
         }
 
-        public IEnumerable<IImageGenerator> GetAllStylesOfRecraft()
+            public IEnumerable<IImageGenerator> GetAllStylesOfRecraft()
         {
             var res = new List<IImageGenerator>();
             var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
diff --git a/MultiImageClient/Implementation/MultiClientRunStats.cs b/MultiImageClient/Implementation/MultiClientRunStats.cs
index 670fa5b..b0ba0fc 100644
--- a/MultiImageClient/Implementation/MultiClientRunStats.cs
+++ b/MultiImageClient/Implementation/MultiClientRunStats.cs
@@ -10,7 +10,9 @@ public class MultiClientRunStats
         public int SavedJsonLogCount { get; set; }
         
         public int IdeogramRequestCount { get; set; }
+        public int IdeogramV3RequestCount { get; set; }
         public int IdeogramRefusedCount { get; set; }
+        public int IdeogramV3RefusedCount { get; set; }
         
         public int ClaudeRequestCount { get; set; }
         public int ClaudeWouldRefuseCount { get; set; }
@@ -54,8 +56,12 @@ public void PrintStats()
 
             if (IdeogramRequestCount > 0)
                 nonZeroStats.Add($"Ideogram Requests:{IdeogramRequestCount}");
+            if (IdeogramV3RequestCount > 0)
+                nonZeroStats.Add($"Ideogram v3 Requests:{IdeogramV3RequestCount}");
             if (IdeogramRefusedCount > 0)
                 nonZeroStats.Add($"Ideogram Refused:{IdeogramRefusedCount}");
+            if (IdeogramV3RefusedCount > 0)
+                nonZeroStats.Add($"Ideogram v3 Refused:{IdeogramV3RefusedCount}");
 
             if (Dalle3RequestCount > 0)
                 nonZeroStats.Add($"Dalle3 Requests:{Dalle3RequestCount}");
diff --git a/MultiImageClient/Services/IdeogramGenerator.cs b/MultiImageClient/Services/IdeogramGenerator.cs
index e68d004..65fc3d5 100644
--- a/MultiImageClient/Services/IdeogramGenerator.cs
+++ b/MultiImageClient/Services/IdeogramGenerator.cs
@@ -3,10 +3,8 @@
 
 using System;
 using System.Collections.Generic;
-using System.Drawing;
-using System.Drawing.Drawing2D;
 using System.Net.Http;
-using System.Text.RegularExpressions;
+
 using System.Threading;
 using System.Threading.Tasks;
 
diff --git a/MultiImageClient/Services/IdeogramV3Generator.cs b/MultiImageClient/Services/IdeogramV3Generator.cs
new file mode 100644
index 0000000..abd011f
--- /dev/null
+++ b/MultiImageClient/Services/IdeogramV3Generator.cs
@@ -0,0 +1,188 @@
+using MultiImageClient;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramV3Generator : IImageGenerator
+    {
+        private readonly SemaphoreSlim _semaphore;
+        private readonly IdeogramClient _client;
+        private readonly MultiClientRunStats _stats;
+        private readonly IdeogramV3StyleType _styleType;
+        private readonly IdeogramMagicPromptOption? _magicPromptOption;
+        private readonly string _aspectRatio;
+        private readonly IdeogramRenderingSpeed _renderingSpeed;
+        private readonly string _negativePrompt;
+        private readonly string _name;
+        
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.IdeogramV3;
+
+        public IdeogramV3Generator(
+            string apiKey,
+            int maxConcurrency,
+            IdeogramV3StyleType styleType,
+            IdeogramMagicPromptOption? magicPromptOption,
+            IdeogramAspectRatio aspectRatio,
+            IdeogramRenderingSpeed renderingSpeed,
+            string negativePrompt,
+            MultiClientRunStats stats,
+            string name)
+        {
+            _client = new IdeogramClient(apiKey);
+            _semaphore = new SemaphoreSlim(maxConcurrency);
+            _stats = stats;
+            _styleType = styleType;
+            _magicPromptOption = magicPromptOption;
+            var convertedAspectRatio = aspectRatio.ToString().Replace("ASPECT_", "").Replace("_", "x");
+            _aspectRatio = convertedAspectRatio;
+            _renderingSpeed = renderingSpeed;
+            _negativePrompt = negativePrompt ?? string.Empty;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+        }
+
+        
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var parts = new List<string> { ApiType.ToString() };
+            if (!string.IsNullOrEmpty(_name))
+            {
+                parts.Add(_name);
+            }
+
+            parts.Add(_styleType.ToString());
+            parts.Add(_aspectRatio.ToString().Replace(":", "x"));
+            parts.Add(_renderingSpeed.ToString());
+            return string.Join("_", parts.Where(p => !string.IsNullOrEmpty(p)));
+        }
+
+        public List<string> GetRightParts()
+        {
+            var contents = new List<string> { "ideogram v3" };
+            if (!string.IsNullOrEmpty(_name))
+            {
+                contents.Add(_name);
+            }
+
+            contents.Add(_styleType.ToString());
+            contents.Add(_aspectRatio.ToString().Replace(":", "x"));
+            contents.Add(_renderingSpeed.ToString());
+
+            return contents;
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (!string.IsNullOrEmpty(_name))
+            {
+                return _name;
+            }
+            return "ideogram-v3";
+        }
+
+        public decimal GetCost()
+        {
+            // Pricing is not yet documented; leave a placeholder number until official rates available.
+            return 0.08m;
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _semaphore.WaitAsync();
+            try
+            {
+                _stats.IdeogramV3RequestCount++;
+
+                var request = new IdeogramV3GenerateRequest(promptDetails.Prompt)
+                {
+                    AspectRatio = _aspectRatio,
+                    RenderingSpeed = _renderingSpeed,
+                    StyleType = _styleType,
+                    MagicPrompt = _magicPromptOption,
+                    NegativePrompt = string.IsNullOrWhiteSpace(_negativePrompt) ? null : _negativePrompt
+                };
+
+                var response = await _client.GenerateImageV3Async(request);
+
+                if (response?.Data == null || response.Data.Count == 0)
+                {
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "No images generated",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                        GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                if (response.Data.Count > 1)
+                {
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "Multiple images returned and the client is not configured for batches",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                        GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                var imageObject = response.Data[0];
+                if (!string.IsNullOrWhiteSpace(imageObject.Prompt) &&
+                    !string.Equals(imageObject.Prompt, promptDetails.Prompt, StringComparison.OrdinalIgnoreCase))
+                {
+                    promptDetails.ReplacePrompt(imageObject.Prompt, imageObject.Prompt, TransformationType.IdeogramRewrite);
+                }
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Url = imageObject.Url,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            catch (HttpRequestException ex)
+            {
+                _stats.IdeogramV3RefusedCount++;
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            catch (Exception ex)
+            {
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            finally
+            {
+                _semaphore.Release();
+            }
+        }
+    }
+}
+

From 34fef2818dd4056800706d25f32faad32f29b9df Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sat, 27 Sep 2025 12:21:28 -0700
Subject: [PATCH 52/78] background stype fixes

---
 ImageGenerationClasses/Settings.cs            | 18 +++++++++++------
 .../CombinationImageLayoutTypes.cs            | 15 ++++++++++++++
 MultiImageClient/Program.cs                   | 20 +++++++++----------
 .../Services/GoogleImagen4Generator.cs        |  3 +--
 4 files changed, 37 insertions(+), 19 deletions(-)
 create mode 100644 MultiImageClient/CombinationImageLayoutTypes.cs

diff --git a/ImageGenerationClasses/Settings.cs b/ImageGenerationClasses/Settings.cs
index 7f48c25..8f34c38 100644
--- a/ImageGenerationClasses/Settings.cs
+++ b/ImageGenerationClasses/Settings.cs
@@ -6,9 +6,16 @@
 
 namespace MultiImageClient
 {
+    
+    /// <summary>
+    ///  Note: this file is for general confiruation for any use of the system.  Don't put things like "preferredImageOutputType" gif/png/etc here
+    /// because those are things that might vary over time.  This is only for global true stuff that'll be set one time and kinda done from that point.
+    /// If you have specific stuff like layout type horizontal/vertical etc, that should just be inlined in the way we create the generator at runtime
+    /// with edits in the program.cs file which is used by the person making the images.
+    /// </summary>
     public class Settings
     {
-        public string GoogleCloudProjectId { get; set; } 
+        public string GoogleCloudProjectId { get; set; }
         /// ffs google
         public string GoogleServiceAccountKeyPath { get; set; }
 
@@ -16,8 +23,8 @@ public class Settings
         public string GoogleCloudApiKey { get; set; }
         public string IdeogramApiKey { get; set; }
         public string OpenAIApiKey { get; set; }
-        public string BFLApiKey {get;set;}
-        public string AnthropicApiKey{ get; set; }
+        public string BFLApiKey { get; set; }
+        public string AnthropicApiKey { get; set; }
         public string RecraftApiKey { get; set; }
         public string GoogleGeminiApiKey { get; set; }
         public string GoogleCloudLocation { get; set; }
@@ -26,9 +33,8 @@ public class Settings
         public string LogFilePath { get; set; }
         public bool SaveJsonLog { get; set; }
         /// save just image.jpg or image.png etc.
-        
+
         public string ImageDownloadBaseFolder { get; set; }
-        
         /// unused yet we always do RIGHT
         public string AnnotationSide { get; set; } = "bottom";
 
@@ -53,7 +59,7 @@ public static Settings LoadFromFile(string filePath)
 
         public void Validate()
         {
-               if (string.IsNullOrWhiteSpace(LogFilePath))
+            if (string.IsNullOrWhiteSpace(LogFilePath))
             {
                 throw new ArgumentException("LogFilePath is required");
             }
diff --git a/MultiImageClient/CombinationImageLayoutTypes.cs b/MultiImageClient/CombinationImageLayoutTypes.cs
new file mode 100644
index 0000000..b62112e
--- /dev/null
+++ b/MultiImageClient/CombinationImageLayoutTypes.cs
@@ -0,0 +1,15 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public enum CombinationImageLayoutTypes
+    {
+        Horizontal,
+        Square,
+
+    }
+}
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index dab3333..dbd58c8 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -29,7 +29,7 @@ public static void LogPrompt(string prompt)
             };
 
             var jsonLine = JsonSerializer.Serialize(logEntry);
-            
+
             try
             {
                 File.AppendAllText(LogFileName, jsonLine + Environment.NewLine);
@@ -53,18 +53,16 @@ static async Task Main(string[] args)
             var getter = new GeneratorGroups(settings, concurrency, stats);
 
             var ideogramClient = new IdeogramClient(settings.IdeogramApiKey);
-            
             var promptSource = new ReadAllPromptsFromFile(settings, "");
 
-          
             var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
             //var claudeStep = new ClaudeRewriteStep("Please take the following topic and make it specific; cast the die, take a chance, and expand it to a longer, detailed, specific description of a scene with all the elements of it described. Describe how the thing looks, feels, appears, etc in high detail. Put the most important aspects first such as the overall description, then continue by expanding that and adding more detail, structure, theme. Be specific in whatevr you do. If it seems appropriate, if a man appears don't just say 'the man', but instead actually give him a name, traits, personality, etc. The goal is to deeply expand the world envisioned by the original topic creator. Overall, follow the implied theem and goals of the creator, but just expand it into much more specifics and concreate actualization. Never use phrases or words like 'diverse', 'vibrant' etc. Be very concrete and precise in your descriptions, similar to how ansel adams describing a new treasured species of bird would - detailed, caring, dense, clear, sharp, speculative and never wordy or fluffy. every single word you say must be relevant to the goal of increasing the info you share about this image or sitaution or scene. Be direct and clear.", "", claudeService, 0.4m, stats);
 
-            var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of 10 specific items describing material, color, mood, tone, position in the image, and symbolic purpose", "", claudeService, 0.4m, stats);
+            var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of 10 specific items describing material, color, mood, tone, position in the image, and symbolic purpose of whatever the following prompt is about. the point is, intensify and make things very specific including LAYOUT and style and color andappearance and everything an artist would need. create and emit lots of dense, unusual, specific, random, dense acronym-filled sentences", "", claudeService, 0.4m, stats);
 
 
-            //var steps = new List<ITransformationStep>() { claudeStep};
-            var steps = new List<ITransformationStep>() {  };
+            var steps = new List<ITransformationStep>() { claudeStep };
+            //var steps = new List<ITransformationStep>() {  };
 
 
             /// ------------------- MAKING SERVICES ----------------------------
@@ -125,15 +123,15 @@ static async Task Main(string[] args)
                     var generatorTasks = generators.Select(async generator =>
                     {
                         PromptDetails theCopy = null;
-                        
+
                         try
                         {
                             theCopy = promptString.Copy();
-                            
+
                             var result = await generator.ProcessPromptAsync(generator, theCopy);
                             await imageManager.ProcessAndSaveAsync(result, generator);
                             Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
-                            
+
                             return result;
                         }
                         catch (Exception ex)
@@ -159,7 +157,7 @@ static async Task Main(string[] args)
 
                     try
                     {
-                        var res = await ImageSaving.CombineImagesHorizontallyAsync(results, promptString.Prompt, settings);
+                        var res = await ImageSaving.CombineImagesAsync(results, promptString.Prompt, settings, CombinedImageLayout.Square);
                         Logger.Log($"Combined images saved to: {res}");
                     }
                     catch (Exception ex)
@@ -178,5 +176,5 @@ static async Task Main(string[] args)
             //     await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
             // }
         }
-    }
+    }  
 }
diff --git a/MultiImageClient/Services/GoogleImagen4Generator.cs b/MultiImageClient/Services/GoogleImagen4Generator.cs
index 605e5c4..27af0a6 100644
--- a/MultiImageClient/Services/GoogleImagen4Generator.cs
+++ b/MultiImageClient/Services/GoogleImagen4Generator.cs
@@ -22,7 +22,6 @@ public class GoogleImagen4Generator : IImageGenerator
         private string _name;
         private string _aspectRatio;
         private string _safetyFilterLevel;
-        private bool _addWatermark;
         private string _location;
         private string _projectId;
         private string _googleServiceAccountKeyPath;
@@ -121,7 +120,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                             { "safetyFilterLevel", Google.Protobuf.WellKnownTypes.Value.ForString(_safetyFilterLevel) },
                             { "safetySetting", Google.Protobuf.WellKnownTypes.Value.ForString("block_only_high") },
                             { "personGeneration", Google.Protobuf.WellKnownTypes.Value.ForString("ALLOW_ALL") },
-                            { "addWatermark", Google.Protobuf.WellKnownTypes.Value.ForBool(_addWatermark) }
+                            { "addWatermark", Google.Protobuf.WellKnownTypes.Value.ForBool(false) }
                         }
                     }
                 };

From d5543bbb0df52f8823cadb55e0fe66eecfce4dec Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 28 Sep 2025 08:03:28 -0700
Subject: [PATCH 53/78] combined image layouts

---
 .gitignore                                    |   1 +
 .../CombinationImageLayoutTypes.cs            |  13 +-
 .../Implementation/ImageSaving.cs             | 273 +++++++++++++++---
 MultiImageClient/Program.cs                   |   6 +-
 4 files changed, 239 insertions(+), 54 deletions(-)

diff --git a/.gitignore b/.gitignore
index 9fcf071..3045b40 100644
--- a/.gitignore
+++ b/.gitignore
@@ -10,3 +10,4 @@
 /MultiImageClient/claude-bad.txt
 /djangoManager/imageMaker/logs/django.log
 gen-lang*.json
+magic*.png
\ No newline at end of file
diff --git a/MultiImageClient/CombinationImageLayoutTypes.cs b/MultiImageClient/CombinationImageLayoutTypes.cs
index b62112e..bd2a745 100644
--- a/MultiImageClient/CombinationImageLayoutTypes.cs
+++ b/MultiImageClient/CombinationImageLayoutTypes.cs
@@ -1,15 +1,8 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
+namespace MultiImageClient
 {
-    public enum CombinationImageLayoutTypes
+    public enum CombinedImageLayout
     {
         Horizontal,
-        Square,
-
+        Square
     }
 }
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index e5f1298..abd3280 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -14,6 +14,7 @@
 using System.Linq;
 using System.Net.Http;
 using System.Threading.Tasks;
+using System.Diagnostics;
 
 
 namespace MultiImageClient
@@ -258,45 +259,117 @@ private static Dictionary<string, string> GetAnnotationDefaultData(string genera
                                  .ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
             return imageInfo;
         }
-
-
-        public static async Task<string> CombineImagesHorizontallyAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
+        public static async Task<string> CombineImagesAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings, CombinedImageLayout layout)
         {
-
-            // --- fonts ------------------------------------------------------
             var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
             var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
 
-            // --- load images (incl. placeholders for failures) -------------
             var loadedImages = LoadResultImages(results, PlaceholderWidth).ToList();
 
-            // --- measure ----------------------------------------------------
-            int totalWidth = loadedImages.Sum(img => img.Width);
-            int maxImageHeight = loadedImages.Where(i => i.Success)
-                                             .Select(i => i.Height)
-                                             .DefaultIfEmpty(PlaceholderWidth)
-                                             .Max();
+            var outputPath = await SaveCombinedImage(loadedImages, prompt, settings, generatorFont, promptFont, layout);
+
+            foreach (var li in loadedImages)
+            {
+                li.Image?.Dispose();
+            }
+
+            ImageSaving.OpenImageWithDefaultApplication(outputPath);
+
+            return outputPath;
+        }
+
+        public static Task<string> CombineImagesHorizontallyAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
+        {
+            return CombineImagesAsync(results, prompt, settings, CombinedImageLayout.Horizontal);
+        }
+
+        private static async Task<string> SaveCombinedImage(List<LoadedImage> loadedImages, string prompt, Settings settings, Font generatorFont, Font promptFont, CombinedImageLayout layout)
+        {
+            using var layoutImage = RenderImageLayout(loadedImages, generatorFont, layout);
+            using var promptPanel = RenderPromptPanel(layoutImage.Width, prompt, promptFont);
+            using var combinedImage = ComposeCombinedImage(layoutImage, promptPanel);
+
+            return await SaveCombinedImageToDisk(combinedImage, prompt, settings);
+        }
+
+        private static Image<Rgba32> RenderImageLayout(List<LoadedImage> loadedImages, Font generatorFont, CombinedImageLayout layout)
+        {
+            if (loadedImages.Count == 0)
+            {
+                return RenderEmptyLayout();
+            }
+
+            return layout switch
+            {
+                CombinedImageLayout.Horizontal => RenderHorizontalLayout(loadedImages, generatorFont),
+                CombinedImageLayout.Square => RenderSquareLayout(loadedImages, generatorFont),
+                _ => throw new ArgumentOutOfRangeException(nameof(layout), layout, "Unsupported combined image layout")
+            };
+        }
+
+        private static Image<Rgba32> RenderPromptPanel(int width, string prompt, Font promptFont)
+        {
+            width = Math.Max(width, PlaceholderWidth);
 
-            // height of status (generator) labels
-            int subtitleHeight = loadedImages
-                .Select(li => ImageUtils.MeasureTextHeight(
-                                  li.OriginalTaskProcessResult.ImageGeneratorDescription,
-                                  generatorFont,
-                                  UIConstants.LineSpacing))
+            int wrappingWidth = Math.Max(1, width - (UIConstants.Padding * 4));
+            int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
+            int topPadding = UIConstants.Padding * 3;
+            int bottomPadding = UIConstants.Padding * 2;
+            int totalHeight = topPadding + promptHeight + bottomPadding;
+
+            var promptPanel = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.White);
+
+            promptPanel.Mutate(ctx =>
+            {
+                var promptOpts = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
+                promptOpts.Origin = new PointF(UIConstants.Padding * 2, topPadding);
+                promptOpts.WrappingLength = wrappingWidth;
+
+                ctx.DrawTextStandard(promptOpts, prompt, UIConstants.Black);
+            });
+
+            return promptPanel;
+        }
+
+        private static Image<Rgba32> ComposeCombinedImage(Image<Rgba32> layoutImage, Image<Rgba32> promptPanel)
+        {
+            int totalHeight = layoutImage.Height + promptPanel.Height;
+            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
+
+            combinedImage.Mutate(ctx =>
+            {
+                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
+                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
+            });
+
+            return combinedImage;
+        }
+
+        private static int MeasureSubtitleHeight(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
+        {
+            return loadedImages
+                .Select(li => li.OriginalTaskProcessResult?.ImageGeneratorDescription ?? "missing")
+                .Select(label => ImageUtils.MeasureTextHeight(label, generatorFont, UIConstants.LineSpacing))
                 .DefaultIfEmpty(0)
                 .Max();
+        }
+
+        private static Image<Rgba32> RenderHorizontalLayout(List<LoadedImage> loadedImages, Font generatorFont)
+        {
+            int totalWidth = loadedImages.Sum(img => img.Width);
+            totalWidth = Math.Max(totalWidth, PlaceholderWidth);
 
-            // height of the prompt block (with wrapping)
-            int wrappingWidth = totalWidth - (UIConstants.Padding * 4);
-            int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth) + (UIConstants.Padding * 3);
-            int trailingHangdownHeight = UIConstants.Padding * 2;
+            int maxImageHeight = loadedImages.Select(i => i.Height)
+                                             .DefaultIfEmpty(PlaceholderWidth)
+                                             .Max();
 
-            int totalHeight = maxImageHeight + subtitleHeight + promptHeight + trailingHangdownHeight;
+            int subtitleHeight = MeasureSubtitleHeight(loadedImages, generatorFont);
+            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + (UIConstants.Padding * 2));
+            int totalHeight = maxImageHeight + subtitleBlockHeight;
 
-            // --- render -----------------------------------------------------
-            using var combinedImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
+            var layoutImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
 
-            combinedImage.Mutate(ctx =>
+            layoutImage.Mutate(ctx =>
             {
                 int currentX = 0;
                 var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
@@ -310,33 +383,129 @@ public static async Task<string> CombineImagesHorizontallyAsync(IEnumerable<Task
                     else
                     {
                         var rect = new RectangleF(currentX, 0, li.Width, maxImageHeight);
-                        ctx.DrawErrorPlaceholder(rect, li.OriginalTaskProcessResult.ErrorMessage, generatorFont);
+                        var errorText = li.OriginalTaskProcessResult?.ErrorMessage ?? "failed";
+                        ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
                     }
 
                     labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
 
-                    var labelColor = li.Success ? UIConstants.SuccessGreen
-                                                : UIConstants.ErrorRed;
-                    var labelText = li.OriginalTaskProcessResult.ImageGeneratorDescription ?? "missing";
+                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                    var labelText = li.OriginalTaskProcessResult?.ImageGeneratorDescription ?? "missing";
                     ctx.DrawTextStandard(labelOpts, labelText, labelColor);
 
                     currentX += li.Width;
                 }
+            });
 
-                // draw prompt
-                var promptOpts = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
-                promptOpts.Origin = new PointF(UIConstants.Padding * 2, maxImageHeight + subtitleHeight + (UIConstants.Padding * 3));
-                promptOpts.WrappingLength = wrappingWidth;
+            return layoutImage;
+        }
 
-                ctx.DrawTextStandard(promptOpts, prompt, UIConstants.Black);
+        private static Image<Rgba32> RenderSquareLayout(List<LoadedImage> loadedImages, Font generatorFont)
+        {
+            int totalImages = loadedImages.Count;
+
+            if (totalImages == 0)
+            {
+                return RenderEmptyLayout();
+            }
+
+            int columns = Math.Max(1, (int)Math.Ceiling(Math.Sqrt(totalImages)));
+            int rows = (int)Math.Ceiling(totalImages / (double)columns);
+
+            var columnWidths = new int[columns];
+            var rowHeights = new int[rows];
+
+            for (int index = 0; index < totalImages; index++)
+            {
+                var li = loadedImages[index];
+                int column = index % columns;
+                int row = index / columns;
+
+                columnWidths[column] = Math.Max(columnWidths[column], li.Width);
+                rowHeights[row] = Math.Max(rowHeights[row], li.Height);
+            }
+
+            int layoutWidth = Math.Max(columnWidths.Sum(), PlaceholderWidth);
+
+            var columnOffsets = new int[columns];
+            int xAccumulator = 0;
+            for (int col = 0; col < columns; col++)
+            {
+                columnOffsets[col] = xAccumulator;
+                xAccumulator += columnWidths[col];
+            }
+
+            int subtitleHeight = MeasureSubtitleHeight(loadedImages, generatorFont);
+            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + (UIConstants.Padding * 2));
+            int layoutHeight = rowHeights.Sum() + (subtitleBlockHeight * rows);
+
+            var layoutImage = ImageUtils.CreateStandardImage(layoutWidth, layoutHeight, UIConstants.White);
+
+            layoutImage.Mutate(ctx =>
+            {
+                int currentY = 0;
+                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
+                int imageIndex = 0;
+
+                for (int row = 0; row < rows; row++)
+                {
+                    int rowHeight = rowHeights[row];
+                    int labelY = currentY + rowHeight + UIConstants.Padding;
+
+                    for (int col = 0; col < columns; col++)
+                    {
+                        if (imageIndex >= totalImages)
+                        {
+                            break;
+                        }
+
+                        var li = loadedImages[imageIndex];
+                        int columnWidth = columnWidths[col];
+                        int columnX = columnOffsets[col];
+
+                        int imageX = columnX + Math.Max(0, (columnWidth - li.Width) / 2);
+                        int imageY = currentY;
+
+                        if (li.Success && li.Image != null)
+                        {
+                            ctx.DrawImage(li.Image, new Point(imageX, imageY), 1f);
+                        }
+                        else
+                        {
+                            var rect = new RectangleF(columnX, imageY, Math.Max(columnWidth, 1), Math.Max(rowHeight, 1));
+                            var errorText = li.OriginalTaskProcessResult?.ErrorMessage ?? "failed";
+                            ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
+                        }
+
+                        labelOpts.Origin = new PointF(columnX + Math.Max(columnWidth, 1) / 2f, labelY);
+
+                        var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                        var labelText = li.OriginalTaskProcessResult?.ImageGeneratorDescription ?? "missing";
+                        ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+
+                        imageIndex++;
+                    }
+
+                    currentY += rowHeight + subtitleBlockHeight;
+                }
             });
 
-            // --- save & clean up -------------------------------------------
-            var outputPath = await SaveCombinedImage(combinedImage, prompt, settings);
+            return layoutImage;
+        }
 
-            foreach (var li in loadedImages) { li.Image?.Dispose(); }
+        private static Image<Rgba32> RenderEmptyLayout()
+        {
+            var empty = ImageUtils.CreateStandardImage(PlaceholderWidth, PlaceholderWidth + (UIConstants.Padding * 2), UIConstants.White);
 
-            return outputPath;
+            empty.Mutate(ctx =>
+            {
+                var font = FontUtils.CreateFont(LabelFontSize, FontStyle.Regular);
+                var opts = FontUtils.CreateTextOptions(font, HorizontalAlignment.Center, VerticalAlignment.Center, UIConstants.LineSpacing);
+                opts.Origin = new PointF(empty.Width / 2f, empty.Height / 2f);
+                ctx.DrawTextStandard(opts, "No images", UIConstants.ErrorRed);
+            });
+
+            return empty;
         }
 
         private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcessResult> results, int placeholderWidth)
@@ -418,7 +587,7 @@ private static LoadedImage CreateFailedGenerationPlaceholder(TaskProcessResult r
             };
         }
 
-        private static async Task<string> SaveCombinedImage(Image<Rgba32> image, string prompt, Settings settings)
+        private static async Task<string> SaveCombinedImageToDisk(Image<Rgba32> image, string prompt, Settings settings)
         {
             string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
             string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
@@ -429,7 +598,6 @@ private static async Task<string> SaveCombinedImage(Image<Rgba32> image, string
             var safeFilename = FilenameGenerator.SanitizeFilename(baseFilename);
             var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
 
-            // Ensure unique filename
             int counter = 1;
             while (File.Exists(outputPath))
             {
@@ -443,6 +611,29 @@ private static async Task<string> SaveCombinedImage(Image<Rgba32> image, string
             return outputPath;
         }
 
+        /// <summary>
+        /// Opens an image file with the default application associated with its file type on the system.
+        /// </summary>
+        /// <param name="imagePath">The full path to the image file.</param>
+        public static void OpenImageWithDefaultApplication(string imagePath)
+        {
+            if (File.Exists(imagePath))
+            {
+                try
+                {
+                    Process.Start(new ProcessStartInfo(imagePath) { UseShellExecute = true });
+                }
+                catch (Exception ex)
+                {
+                    Console.WriteLine($"Error opening image {imagePath}: {ex.Message}");
+                }
+            }
+            else
+            {
+                Console.WriteLine($"Image file not found at {imagePath}");
+            }
+        }
+
         private class LoadedImage
         {
             public TaskProcessResult OriginalTaskProcessResult { get; set; }
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index dbd58c8..008b58f 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -61,8 +61,8 @@ static async Task Main(string[] args)
             var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of 10 specific items describing material, color, mood, tone, position in the image, and symbolic purpose of whatever the following prompt is about. the point is, intensify and make things very specific including LAYOUT and style and color andappearance and everything an artist would need. create and emit lots of dense, unusual, specific, random, dense acronym-filled sentences", "", claudeService, 0.4m, stats);
 
 
-            var steps = new List<ITransformationStep>() { claudeStep };
-            //var steps = new List<ITransformationStep>() {  };
+            //var steps = new List<ITransformationStep>() { claudeStep };
+            var steps = new List<ITransformationStep>() {  };
 
 
             /// ------------------- MAKING SERVICES ----------------------------
@@ -176,5 +176,5 @@ static async Task Main(string[] args)
             //     await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
             // }
         }
-    }  
+    }   
 }

From 05078130607afcd08b5848779d1ade249fe4de1e Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 28 Sep 2025 16:57:23 -0700
Subject: [PATCH 54/78] multiple renders of the same described image.

---
 .../CombinationImageLayoutTypes.cs            |   3 +-
 MultiImageClient/GeneratorGroups.cs           |   2 +-
 MultiImageClient/ImageManager.cs              |   3 +-
 .../Implementation/BatchWorkflow.cs           | 132 +++++
 .../Implementation/ImageCombiner.cs           | 552 ++++++++++++++++++
 .../Implementation/ImageSaving.cs             | 403 +------------
 .../Implementation/RountripWorkflow.cs        | 268 +++++++++
 MultiImageClient/MultiImageClient.csproj      |   3 +-
 MultiImageClient/Program.cs                   | 138 +----
 MultiImageClient/Services/Dalle3Generator.cs  |  10 +-
 MultiImageClient/UIConstants.cs               |   1 +
 11 files changed, 1004 insertions(+), 511 deletions(-)
 create mode 100644 MultiImageClient/Implementation/BatchWorkflow.cs
 create mode 100644 MultiImageClient/Implementation/ImageCombiner.cs
 create mode 100644 MultiImageClient/Implementation/RountripWorkflow.cs

diff --git a/MultiImageClient/CombinationImageLayoutTypes.cs b/MultiImageClient/CombinationImageLayoutTypes.cs
index bd2a745..5412f04 100644
--- a/MultiImageClient/CombinationImageLayoutTypes.cs
+++ b/MultiImageClient/CombinationImageLayoutTypes.cs
@@ -3,6 +3,7 @@
     public enum CombinedImageLayout
     {
         Horizontal,
-        Square
+        Square,
+        ImageDescribeRendersHorizontally,
     }
 }
diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index 46f3ec9..68a2207 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -65,7 +65,7 @@ public IEnumerable<IImageGenerator> GetAll()
             myGenerators = new List<IImageGenerator>() { dalle3, ideogram1, ideogram2, ideogram3, ideogram4, ideogramV3, recraft1, recraft2, recraft3, recraft4, recraft5, bfl1, bfl2, bfl3, gptimage1_1, gptimage1_2, google_banana, googleimagen };
             myGenerators = new List<IImageGenerator>() { gptimage1_1, ideogram3, ideogram4, ideogramV3, recraft_any, dalle3, bfl1, bfl2, bfl3, google_banana, googleimagen, recraft_any };
 
-            //myGenerators = new List<IImageGenerator>() { ideogramV3 };
+            //myGenerators = new List<IImageGenerator>() { dalle3, bfl1, recraft_any };
 
             return myGenerators;
         }
diff --git a/MultiImageClient/ImageManager.cs b/MultiImageClient/ImageManager.cs
index 2b8f9a0..4b927ca 100644
--- a/MultiImageClient/ImageManager.cs
+++ b/MultiImageClient/ImageManager.cs
@@ -30,7 +30,7 @@ public async Task<Dictionary<SaveType, string>> DoSaveAsync(int n, PromptDetails
             if (imageBytes == null || imageBytes.Length == 0)
             {
                 Logger.Log($"Empty or null image bytes received");
-                throw new Exception("no bytes?)");
+                throw new Exception("no bytes in the image data received; probably caller's problem.)");
             }
 
             // just one time, convert the bytes to png if needed.
@@ -89,6 +89,7 @@ public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult resul
                 {
                     imageBytes = await ImageSaving.DownloadImageAsync(result);
                     result.DownloadTotalMs = sw.ElapsedMilliseconds;
+                    // downloading it can just fail sometimes.
                     result.SetImageBytes(0, imageBytes);
                     var pd = result.PromptDetails.Copy();
                     var downloadResults = await DoSaveAsync(0, pd, result.ContentType, imageBytes, generator, _settings);
diff --git a/MultiImageClient/Implementation/BatchWorkflow.cs b/MultiImageClient/Implementation/BatchWorkflow.cs
new file mode 100644
index 0000000..be280a9
--- /dev/null
+++ b/MultiImageClient/Implementation/BatchWorkflow.cs
@@ -0,0 +1,132 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class BatchWorkflow
+    {
+        public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings settings, int concurrency, MultiClientRunStats stats)
+        {
+            var getter = new GeneratorGroups(settings, concurrency, stats);
+
+            var generators = getter.GetAll();
+            //var generators = getter.GetAllStylesOfRecraft();
+
+            var imageManager = new ImageManager(settings, stats);
+            var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
+
+
+            var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of specific items describing material, color, mood, tone, position in the image, and symbolic purpose of whatever the following prompt is about. the point is, intensify and make things very specific including LAYOUT and style and color andappearance and everything an artist would need. create and emit lots of dense, unusual, specific, random, dense sentences. Note: you may never shrink or remove information from the prompt. Your job is ONLY to expand and make it concrete.  What you output should always be longer than what you receive, with much more specific details, etc.", "", claudeService, 0.4m, stats);
+
+            //var steps = new List<ITransformationStep>() { claudeStep };
+            var steps = new List<ITransformationStep>() { };
+
+            var allTasks = new List<Task>();
+
+            foreach (var promptString in promptSource.Prompts)
+            {
+                Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
+
+                Console.WriteLine($"Do you accept this? y for yes, n for no go to next, or type the prompt you want directly and hit enter.");
+                var val = Console.ReadLine();
+                if (val == "y")
+                {
+
+                }
+                else if (val == "n")
+                {
+                    continue;
+                }
+                else
+                {
+                    var usingVal = val.Trim();
+                    PromptLogger.LogPrompt(usingVal);
+                    promptString.UndoLastStep();
+                    promptString.ReplacePrompt(usingVal, "explanation", TransformationType.InitialPrompt);
+                }
+
+                if (promptString.Prompt.Length == 0)
+                {
+                    Console.WriteLine("no leng?");
+                    continue;
+                }
+
+                foreach (var step in steps)
+                {
+                    var res = await step.DoTransformation(promptString);
+                    if (!res)
+                    {
+                        Logger.Log($"\tStep {step.Name} failed: {promptString.Show()}");
+                        continue;
+                    }
+                    Logger.Log($"\tStep:{step.Name} => {promptString.Show()}");
+                }
+
+                var ii = 0;
+                while (ii < 1)
+                {
+                    // Create tasks for all generators for this prompt
+                    var generatorTasks = generators.Select(async generator =>
+                    {
+                        PromptDetails theCopy = null;
+
+                        try
+                        {
+                            theCopy = promptString.Copy();
+
+                            var result = await generator.ProcessPromptAsync(generator, theCopy);
+                            await imageManager.ProcessAndSaveAsync(result, generator);
+                            Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
+
+                            return result;
+                        }
+                        catch (Exception ex)
+                        {
+                            Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
+
+                            var res = new TaskProcessResult
+                            {
+                                IsSuccess = false,
+                                ErrorMessage = ex.Message,
+                                PromptDetails = theCopy
+                            };
+
+                            return res;
+                        }
+                    }).ToArray();
+
+                    allTasks.AddRange(generatorTasks);
+                    ii++;
+
+                    stats.PrintStats();
+                    var results = await Task.WhenAll(generatorTasks);
+
+                    try
+                    {
+                        var res = await ImageCombiner.CreateBatchLayoutImageHorizontalAsync(results, promptString.Prompt, settings);
+                        Logger.Log($"Combined images saved to: {res}");
+                        ImageCombiner.OpenImageWithDefaultApplication(res);
+                    }
+                    catch (Exception ex)
+                    {
+                        Logger.Log($"Failed to combine images: {ex.Message}");
+                        return false;
+                    }
+                }
+            }
+            return true;
+
+            // Wait for all tasks
+            // while (allTasks.Any(t => !t.IsCompleted))
+            // {
+            //     var completed = allTasks.Count(t => t.IsCompleted);
+            //     var remaining = allTasks.Count - completed;
+            //     Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining...");
+            //     await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
+            // }
+        }
+    }
+}
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/ImageCombiner.cs b/MultiImageClient/Implementation/ImageCombiner.cs
new file mode 100644
index 0000000..9e084fd
--- /dev/null
+++ b/MultiImageClient/Implementation/ImageCombiner.cs
@@ -0,0 +1,552 @@
+#nullable enable
+using IdeogramAPIClient;
+
+using ImageMagick;
+
+using SixLabors.Fonts;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Drawing.Processing;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.ImageSharp.Processing;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+using System.Diagnostics;
+
+
+
+using static MultiImageClient.ImageSaving;
+using GenerativeAI.Types.RagEngine;
+
+namespace MultiImageClient
+{
+    public static class ImageCombiner
+    {
+        private const int CombinedImageGeneratorFontSize = 24;
+        private const int CombinedImagePromptFontSize = 32;
+        private const float LabelLineHeightMultiplier = 1.5f;
+        private const int PlaceholderWidth = 300;
+        private const int LabelFontSize = 12;
+
+
+        private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcessResult> results)
+        {
+            var loadedImages = new List<LoadedImage>();
+
+            foreach (var result in results.Where(el => el.IsSuccess))
+            {
+                try
+                {
+                    foreach (var imageBytes in result.GetAllImages)
+                    {
+                        if (imageBytes != null && imageBytes.Length > 0)
+                        {
+                            var image = Image.Load<Rgba32>(imageBytes);
+
+                            // Resize if height > 1300px, keeping proportions and max height of 1024px
+                            if (image.Height > 1300)
+                            {
+                                var aspectRatio = (float)image.Width / image.Height;
+                                var newHeight = 1024;
+                                var newWidth = (int)(newHeight * aspectRatio);
+
+                                Logger.Log($"Resizing image from {image.Width}x{image.Height} to {newWidth}x{newHeight} for combining");
+                                image.Mutate(x => x.Resize(newWidth, newHeight));
+                            }
+
+                            loadedImages.Add(new LoadedImage
+                            {
+                                Success = true,
+                                Result = result.IsSuccess ? (result.ImageGeneratorDescription ?? "successX") : ($"{result.ImageGeneratorDescription} - {result.ErrorMessage}" ?? "failedX"),
+                                Image = image,
+                                Width = image.Width,
+                                Height = image.Height
+                            });
+                        }
+                        else
+                        {
+                            // Success but no bytes somehow
+                            Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
+                            loadedImages.Add(GetPlaceholder(result));
+                        }
+                    }
+                }
+                catch (Exception ex)
+                {
+                    // GetImageBytes() might throw if bytes weren't set, or image loading failed
+                    Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
+                    loadedImages.Add(GetPlaceholder(result));
+                }
+            }
+
+            // Failed result - show placeholder with error
+            foreach (var result in results.Where(el => !el.IsSuccess))
+            {
+
+                loadedImages.Add(GetPlaceholder(result));
+            }
+
+            return loadedImages.OrderBy(el => el.Result);
+        }
+
+        private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
+        {
+            int totalWidth = loadedImages.Sum(img => img.Width);
+            totalWidth = Math.Max(totalWidth, PlaceholderWidth);
+
+            int maxImageHeight = loadedImages.Select(i => i.Height)
+                                             .DefaultIfEmpty(PlaceholderWidth)
+                                             .Max();
+
+            int subtitleHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
+            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + (UIConstants.Padding * 2));
+            int totalHeight = maxImageHeight + subtitleBlockHeight;
+
+            var layoutImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
+
+            layoutImage.Mutate(ctx =>
+            {
+                int currentX = 0;
+                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
+
+                foreach (var li in loadedImages)
+                {
+                    if (li.Success && li.Image != null)
+                    {
+                        ctx.DrawImage(li.Image, new Point(currentX, 0), 1f);
+                    }
+                    else
+                    {
+                        var rect = new RectangleF(currentX, 0, li.Width, maxImageHeight);
+                        var errorText = li.Result;
+                        ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
+                    }
+
+                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
+
+                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                    var labelText = li.Result;
+                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+
+                    currentX += li.Width;
+                }
+            });
+
+            return layoutImage;
+        }
+
+
+
+        // This is a square image where the top images are all the outputs of the original 1 prompt => many render attempts of it.
+        private static Image<Rgba32> RenderSquareLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
+        {
+            int totalImages = loadedImages.Count();
+
+            if (totalImages == 0)
+            {
+                return RenderEmptyLayout();
+            }
+
+            int columns = Math.Max(1, (int)Math.Ceiling(Math.Sqrt(totalImages)));
+            int rows = (int)Math.Ceiling(totalImages / (double)columns);
+
+            var columnWidths = new int[columns];
+            var rowHeights = new int[rows];
+
+            var index = 0;
+            foreach (var li in loadedImages)
+            {
+                int column = index % columns;
+                int row = index / columns;
+
+                columnWidths[column] = Math.Max(columnWidths[column], li.Width);
+                rowHeights[row] = Math.Max(rowHeights[row], li.Height);
+                index++;
+            }
+
+            int layoutWidth = Math.Max(columnWidths.Sum(), PlaceholderWidth);
+
+            var columnOffsets = new int[columns];
+            int xAccumulator = 0;
+            for (int col = 0; col < columns; col++)
+            {
+                columnOffsets[col] = xAccumulator;
+                xAccumulator += columnWidths[col];
+            }
+
+            // every image has its own description section
+            int imageSubdescriptionHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
+            int subdescripitonHeight = Math.Max(UIConstants.Padding * 2, imageSubdescriptionHeight + (UIConstants.Padding * 2));
+            int layoutHeight = rowHeights.Sum() + (subdescripitonHeight * rows);
+
+            var layoutImage = ImageUtils.CreateStandardImage(layoutWidth, layoutHeight, UIConstants.White);
+
+            layoutImage.Mutate(ctx =>
+            {
+                int currentY = 0;
+                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
+                int imageIndex = 0;
+
+                for (int row = 0; row < rows; row++)
+                {
+                    int rowHeight = rowHeights[row];
+                    int labelY = currentY + rowHeight + UIConstants.Padding;
+
+                    for (int col = 0; col < columns; col++)
+                    {
+                        if (imageIndex >= totalImages)
+                        {
+                            break;
+                        }
+
+                        var li = loadedImages.ToList()[imageIndex];
+                        int columnWidth = columnWidths[col];
+                        int columnX = columnOffsets[col];
+
+                        int imageX = columnX + Math.Max(0, (columnWidth - li.Width) / 2);
+                        int imageY = currentY;
+
+                        if (li.Success && li.Image != null)
+                        {
+                            ctx.DrawImage(li.Image, new Point(imageX, imageY), 1f);
+                        }
+                        else
+                        {
+                            var rect = new RectangleF(columnX, imageY, Math.Max(columnWidth, 1), Math.Max(rowHeight, 1));
+                            var errorText = li.Result;
+                            ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
+                        }
+
+                        labelOpts.Origin = new PointF(columnX + Math.Max(columnWidth, 1) / 2f, labelY);
+
+                        var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                        var labelText = li.Result;
+                        ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+
+                        imageIndex++;
+                    }
+
+                    currentY += rowHeight + subdescripitonHeight;
+                }
+            });
+
+            return layoutImage;
+        }
+
+        public static async Task<string> CreateBatchLayoutImageHorizontalAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
+        {
+            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
+            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
+
+            var loadedImages = LoadResultImages(results);
+
+            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
+            var totalWidth = layoutImage.Width;
+
+            using var promptPanel = RenderPromptPanel(totalWidth, prompt, promptFont);
+
+            int totalHeight = layoutImage.Height + promptPanel.Height;
+            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
+
+            combinedImage.Mutate(ctx =>
+            {
+                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
+                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
+            });
+
+
+            var outputPath = await SaveCombinedImageToDisk(combinedImage, prompt, settings);
+
+            foreach (var li in loadedImages)
+            {
+                li.Image?.Dispose();
+            }
+
+            OpenImageWithDefaultApplication(outputPath);
+
+            return outputPath;
+        }
+
+        public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
+        {
+            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
+            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
+
+            var loadedImages = LoadResultImages(results);
+
+            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
+            using var promptPanel = RenderPromptPanel(layoutImage.Width, prompt, promptFont);
+
+            int totalHeight = layoutImage.Height + promptPanel.Height;
+            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
+
+            combinedImage.Mutate(ctx =>
+            {
+                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
+                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
+            });
+
+
+            var outputPath = await SaveCombinedImageToDisk(combinedImage, prompt, settings);
+
+            foreach (var li in loadedImages)
+            {
+                li.Image?.Dispose();
+            }
+
+            OpenImageWithDefaultApplication(outputPath);
+
+            return outputPath;
+        }
+
+
+
+
+
+
+        // this is how werender the "roundtrip workflow". In this case, the user provided an image to us.
+        // we used an LLM to describe it, then we sent that description to a bunch of images.
+        // the output format should be a long horizontal strip. Leftmost should be the image, labelled like "original iamge".
+        // then to the right of that,  how it was described, in descriptionText taking up a big square column (sine this text might be long).
+        // then further to the right, in order, just like we did in RenderHorizontalLayout, should be all the output images ortheir error placeholders.
+        public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, Settings settings)
+        {
+            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
+            var originalImage = Image.Load<Rgba32>(originalImageBytes);
+            if (originalImage == null)
+            {
+                throw new Exception("no original image.");
+            }
+            var maxImageHeight = originalImage.Height;
+            var descriptionWidth = 600; // Fixed width for description
+            var descriptionHeight = maxImageHeight; // Description takes up the same height as the original image.
+            var loadedImages = LoadResultImages(results).ToList();
+
+            // Calculate total width
+            var totalWidth = originalImage.Width + descriptionWidth + loadedImages.Sum(li => li.Width);
+            var totalHeight = maxImageHeight + UIConstants.LabelHeight + UIConstants.Padding;
+
+            var layoutImage = new Image<Rgba32>(totalWidth, totalHeight);
+
+            layoutImage.Mutate(ctx =>
+            {
+                ctx.Fill(Color.White);
+                var currentX = 0;
+
+                // 1. Draw Original Image
+                if (originalImage!= null)
+                {
+                    ctx.DrawImage(originalImage, new Point(currentX, 0), 1);
+                }
+                var labelOptsOriginal = new RichTextOptions(generatorFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Center,
+                    VerticalAlignment = VerticalAlignment.Top
+                };
+                labelOptsOriginal.Origin = new PointF(currentX + originalImage.Width / 2f, maxImageHeight + UIConstants.Padding);
+                ctx.DrawTextStandard(labelOptsOriginal, "Original Image", Color.Black);
+                currentX += originalImage.Width;
+
+                // 2. Draw Description Text
+                var descriptionTextOptions = new RichTextOptions(generatorFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Left,
+                    VerticalAlignment = VerticalAlignment.Top,
+                    WrappingLength = descriptionWidth - 2 * UIConstants.Padding, // Allow for padding inside the description box
+                    Origin = new PointF(currentX + UIConstants.Padding, UIConstants.Padding)
+                };
+                ctx.Fill(Color.LightGray, new RectangleF(currentX, 0, descriptionWidth, descriptionHeight)); // Background for text
+                ctx.DrawTextStandard(descriptionTextOptions, descriptionText, Color.Black);
+
+                var labelOptsDescription = new RichTextOptions(generatorFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Center,
+                    VerticalAlignment = VerticalAlignment.Top
+                };
+                labelOptsDescription.Origin = new PointF(currentX + descriptionWidth / 2f, maxImageHeight + UIConstants.Padding);
+                ctx.DrawTextStandard(labelOptsDescription, "Description", Color.Black);
+                currentX += descriptionWidth;
+
+                // 3. Draw Loaded Images
+                foreach (var li in loadedImages)
+                {
+                    if (li.Image != null)
+                    {
+                        ctx.DrawImage(li.Image, new Point(currentX, 0), 1);
+                    }
+                    else
+                    {
+                        // Draw placeholder for error images
+                        ctx.Fill(Color.LightGray, new Rectangle(currentX, 0, li.Width, li.Height));
+                        var errorTextOptions = new RichTextOptions(generatorFont)
+                        {
+                            HorizontalAlignment = HorizontalAlignment.Center,
+                            VerticalAlignment = VerticalAlignment.Center
+                        };
+                        errorTextOptions.Origin = new PointF(currentX + li.Width / 2f, li.Height / 2f);
+                        ctx.DrawTextStandard(errorTextOptions, "ERROR", Color.Red);
+                    }
+
+                    var labelOpts = new RichTextOptions(generatorFont)
+                    {
+                        HorizontalAlignment = HorizontalAlignment.Center,
+                        VerticalAlignment = VerticalAlignment.Top
+                    };
+                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
+
+                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                    var labelText = li.Result;
+                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+
+                    currentX += li.Width;
+                }
+
+
+               
+            });
+            var outputPath = await SaveCombinedImageToDisk(layoutImage, descriptionText, settings);
+
+            foreach (var li in loadedImages)
+            {
+                li.Image?.Dispose();
+            }
+
+            OpenImageWithDefaultApplication(outputPath);
+
+            return outputPath;
+        }
+        private static Image<Rgba32> RenderPromptPanel(int width, string prompt, Font promptFont)
+        {
+            width = Math.Max(width, PlaceholderWidth);
+
+            int wrappingWidth = Math.Max(1, width - (UIConstants.Padding * 4));
+            int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
+            int topPadding = UIConstants.Padding * 3;
+            int bottomPadding = UIConstants.Padding * 2;
+            int totalHeight = topPadding + promptHeight + bottomPadding;
+
+            var promptPanel = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.White);
+
+            promptPanel.Mutate(ctx =>
+            {
+                var promptOpts = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
+                promptOpts.Origin = new PointF(UIConstants.Padding * 2, topPadding);
+                promptOpts.WrappingLength = wrappingWidth;
+
+                ctx.DrawTextStandard(promptOpts, prompt, UIConstants.Black);
+            });
+
+            return promptPanel;
+        }
+
+        
+        public static void OpenImageWithDefaultApplication(string imagePath)
+        {
+            if (File.Exists(imagePath))
+            {
+                try
+                {
+                    Process.Start(new ProcessStartInfo(imagePath) { UseShellExecute = true });
+                }
+                catch (Exception ex)
+                {
+                    Console.WriteLine($"Error opening image {imagePath}: {ex.Message}");
+                }
+            }
+            else
+            {
+                Console.WriteLine($"Image file not found at {imagePath}");
+            }
+        }
+
+        private static int MeasureImageSubdescriptionHeight(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
+        {
+            return loadedImages
+                .Select(li => li.Result ?? "missing")
+                .Select(label => ImageUtils.MeasureTextHeight(label, generatorFont, UIConstants.LineSpacing))
+                .DefaultIfEmpty(0)
+                .Max();
+        }
+
+        
+
+
+        public static LoadedImage GetPlaceholder(TaskProcessResult result)
+        {
+            return new LoadedImage
+            {
+                Image = null,
+                Success = false,
+                Result = result.ErrorMessage ?? "ErrorX",
+                Width = PlaceholderWidth,
+                Height = PlaceholderWidth
+            };
+        }
+
+        private static Image<Rgba32> RenderEmptyLayout()
+        {
+            var empty = ImageUtils.CreateStandardImage(PlaceholderWidth, PlaceholderWidth + (UIConstants.Padding * 2), UIConstants.White);
+
+            empty.Mutate(ctx =>
+            {
+                var font = FontUtils.CreateFont(LabelFontSize, FontStyle.Regular);
+                var opts = FontUtils.CreateTextOptions(font, HorizontalAlignment.Center, VerticalAlignment.Center, UIConstants.LineSpacing);
+                opts.Origin = new PointF(empty.Width / 2f, empty.Height / 2f);
+                ctx.DrawTextStandard(opts, "No images", UIConstants.ErrorRed);
+            });
+
+            return empty;
+        }
+
+
+        private static async Task<string> SaveCombinedImageToDisk(Image<Rgba32> image, string prompt, Settings settings)
+        {
+            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
+            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
+            Directory.CreateDirectory(baseFolder);
+
+            var truncatedPrompt = FilenameGenerator.TruncatePrompt(prompt, 50);
+            var baseFilename = $"combined_{truncatedPrompt}_{DateTime.Now:HHmmss}";
+            var safeFilename = FilenameGenerator.SanitizeFilename(baseFilename);
+            var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
+
+            int counter = 1;
+            while (File.Exists(outputPath))
+            {
+                outputPath = Path.Combine(baseFolder, $"{safeFilename}_{counter}.png");
+                counter++;
+            }
+
+            await image.SaveAsPngAsync(outputPath);
+            Logger.Log($"Combined image saved: {outputPath}");
+
+            return outputPath;
+        }
+
+        public class LoadedImage
+        {
+            public bool Success { get; set; }
+            public string Result { get; set; }
+            public Image<Rgba32>? Image { get; set; }
+            public int Width { get; set; }
+            public int Height { get; set; }
+        }
+
+        private class ImageDimensions
+        {
+            public int TotalWidth { get; set; }
+            public int MaxImageHeight { get; set; }
+            public int SubtitleHeight { get; set; }
+            public int PromptHeight { get; set; }
+            public int TotalHeight { get; set; }
+        }
+
+
+    }
+}
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/Implementation/ImageSaving.cs
index abd3280..34061e6 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/Implementation/ImageSaving.cs
@@ -1,4 +1,5 @@
-using IdeogramAPIClient;
+#nullable enable
+using IdeogramAPIClient;
 
 using ImageMagick;
 
@@ -7,6 +8,8 @@
 using SixLabors.ImageSharp.Drawing.Processing;
 using SixLabors.ImageSharp.PixelFormats;
 using SixLabors.ImageSharp.Processing;
+using System.Text.Json;
+using System.Text.Json.Serialization;
 
 using System;
 using System.Collections.Generic;
@@ -25,12 +28,10 @@ public static class ImageSaving
 
         private const int LabelRightSideWidth = 200;
         private const float LabelTotalLineSpacing = 1.3f;
-        private const int PlaceholderWidth = 300;
+        
         private const int LabelFontSize = 12;
         private const int LabelRightFontSize = 10;
-        private const int CombinedImageGeneratorFontSize = 24;
-        private const int CombinedImagePromptFontSize = 32;
-        private const float LabelLineHeightMultiplier = 1.5f;
+        
 
         public static void ConvertWebpTopng(string inputFp)
         {
@@ -259,397 +260,5 @@ private static Dictionary<string, string> GetAnnotationDefaultData(string genera
                                  .ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
             return imageInfo;
         }
-        public static async Task<string> CombineImagesAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings, CombinedImageLayout layout)
-        {
-            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
-            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
-
-            var loadedImages = LoadResultImages(results, PlaceholderWidth).ToList();
-
-            var outputPath = await SaveCombinedImage(loadedImages, prompt, settings, generatorFont, promptFont, layout);
-
-            foreach (var li in loadedImages)
-            {
-                li.Image?.Dispose();
-            }
-
-            ImageSaving.OpenImageWithDefaultApplication(outputPath);
-
-            return outputPath;
-        }
-
-        public static Task<string> CombineImagesHorizontallyAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
-        {
-            return CombineImagesAsync(results, prompt, settings, CombinedImageLayout.Horizontal);
-        }
-
-        private static async Task<string> SaveCombinedImage(List<LoadedImage> loadedImages, string prompt, Settings settings, Font generatorFont, Font promptFont, CombinedImageLayout layout)
-        {
-            using var layoutImage = RenderImageLayout(loadedImages, generatorFont, layout);
-            using var promptPanel = RenderPromptPanel(layoutImage.Width, prompt, promptFont);
-            using var combinedImage = ComposeCombinedImage(layoutImage, promptPanel);
-
-            return await SaveCombinedImageToDisk(combinedImage, prompt, settings);
-        }
-
-        private static Image<Rgba32> RenderImageLayout(List<LoadedImage> loadedImages, Font generatorFont, CombinedImageLayout layout)
-        {
-            if (loadedImages.Count == 0)
-            {
-                return RenderEmptyLayout();
-            }
-
-            return layout switch
-            {
-                CombinedImageLayout.Horizontal => RenderHorizontalLayout(loadedImages, generatorFont),
-                CombinedImageLayout.Square => RenderSquareLayout(loadedImages, generatorFont),
-                _ => throw new ArgumentOutOfRangeException(nameof(layout), layout, "Unsupported combined image layout")
-            };
-        }
-
-        private static Image<Rgba32> RenderPromptPanel(int width, string prompt, Font promptFont)
-        {
-            width = Math.Max(width, PlaceholderWidth);
-
-            int wrappingWidth = Math.Max(1, width - (UIConstants.Padding * 4));
-            int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
-            int topPadding = UIConstants.Padding * 3;
-            int bottomPadding = UIConstants.Padding * 2;
-            int totalHeight = topPadding + promptHeight + bottomPadding;
-
-            var promptPanel = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.White);
-
-            promptPanel.Mutate(ctx =>
-            {
-                var promptOpts = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
-                promptOpts.Origin = new PointF(UIConstants.Padding * 2, topPadding);
-                promptOpts.WrappingLength = wrappingWidth;
-
-                ctx.DrawTextStandard(promptOpts, prompt, UIConstants.Black);
-            });
-
-            return promptPanel;
-        }
-
-        private static Image<Rgba32> ComposeCombinedImage(Image<Rgba32> layoutImage, Image<Rgba32> promptPanel)
-        {
-            int totalHeight = layoutImage.Height + promptPanel.Height;
-            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
-
-            combinedImage.Mutate(ctx =>
-            {
-                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
-                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
-            });
-
-            return combinedImage;
-        }
-
-        private static int MeasureSubtitleHeight(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
-        {
-            return loadedImages
-                .Select(li => li.OriginalTaskProcessResult?.ImageGeneratorDescription ?? "missing")
-                .Select(label => ImageUtils.MeasureTextHeight(label, generatorFont, UIConstants.LineSpacing))
-                .DefaultIfEmpty(0)
-                .Max();
-        }
-
-        private static Image<Rgba32> RenderHorizontalLayout(List<LoadedImage> loadedImages, Font generatorFont)
-        {
-            int totalWidth = loadedImages.Sum(img => img.Width);
-            totalWidth = Math.Max(totalWidth, PlaceholderWidth);
-
-            int maxImageHeight = loadedImages.Select(i => i.Height)
-                                             .DefaultIfEmpty(PlaceholderWidth)
-                                             .Max();
-
-            int subtitleHeight = MeasureSubtitleHeight(loadedImages, generatorFont);
-            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + (UIConstants.Padding * 2));
-            int totalHeight = maxImageHeight + subtitleBlockHeight;
-
-            var layoutImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
-
-            layoutImage.Mutate(ctx =>
-            {
-                int currentX = 0;
-                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
-
-                foreach (var li in loadedImages)
-                {
-                    if (li.Success && li.Image != null)
-                    {
-                        ctx.DrawImage(li.Image, new Point(currentX, 0), 1f);
-                    }
-                    else
-                    {
-                        var rect = new RectangleF(currentX, 0, li.Width, maxImageHeight);
-                        var errorText = li.OriginalTaskProcessResult?.ErrorMessage ?? "failed";
-                        ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
-                    }
-
-                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
-
-                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                    var labelText = li.OriginalTaskProcessResult?.ImageGeneratorDescription ?? "missing";
-                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
-
-                    currentX += li.Width;
-                }
-            });
-
-            return layoutImage;
-        }
-
-        private static Image<Rgba32> RenderSquareLayout(List<LoadedImage> loadedImages, Font generatorFont)
-        {
-            int totalImages = loadedImages.Count;
-
-            if (totalImages == 0)
-            {
-                return RenderEmptyLayout();
-            }
-
-            int columns = Math.Max(1, (int)Math.Ceiling(Math.Sqrt(totalImages)));
-            int rows = (int)Math.Ceiling(totalImages / (double)columns);
-
-            var columnWidths = new int[columns];
-            var rowHeights = new int[rows];
-
-            for (int index = 0; index < totalImages; index++)
-            {
-                var li = loadedImages[index];
-                int column = index % columns;
-                int row = index / columns;
-
-                columnWidths[column] = Math.Max(columnWidths[column], li.Width);
-                rowHeights[row] = Math.Max(rowHeights[row], li.Height);
-            }
-
-            int layoutWidth = Math.Max(columnWidths.Sum(), PlaceholderWidth);
-
-            var columnOffsets = new int[columns];
-            int xAccumulator = 0;
-            for (int col = 0; col < columns; col++)
-            {
-                columnOffsets[col] = xAccumulator;
-                xAccumulator += columnWidths[col];
-            }
-
-            int subtitleHeight = MeasureSubtitleHeight(loadedImages, generatorFont);
-            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + (UIConstants.Padding * 2));
-            int layoutHeight = rowHeights.Sum() + (subtitleBlockHeight * rows);
-
-            var layoutImage = ImageUtils.CreateStandardImage(layoutWidth, layoutHeight, UIConstants.White);
-
-            layoutImage.Mutate(ctx =>
-            {
-                int currentY = 0;
-                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
-                int imageIndex = 0;
-
-                for (int row = 0; row < rows; row++)
-                {
-                    int rowHeight = rowHeights[row];
-                    int labelY = currentY + rowHeight + UIConstants.Padding;
-
-                    for (int col = 0; col < columns; col++)
-                    {
-                        if (imageIndex >= totalImages)
-                        {
-                            break;
-                        }
-
-                        var li = loadedImages[imageIndex];
-                        int columnWidth = columnWidths[col];
-                        int columnX = columnOffsets[col];
-
-                        int imageX = columnX + Math.Max(0, (columnWidth - li.Width) / 2);
-                        int imageY = currentY;
-
-                        if (li.Success && li.Image != null)
-                        {
-                            ctx.DrawImage(li.Image, new Point(imageX, imageY), 1f);
-                        }
-                        else
-                        {
-                            var rect = new RectangleF(columnX, imageY, Math.Max(columnWidth, 1), Math.Max(rowHeight, 1));
-                            var errorText = li.OriginalTaskProcessResult?.ErrorMessage ?? "failed";
-                            ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
-                        }
-
-                        labelOpts.Origin = new PointF(columnX + Math.Max(columnWidth, 1) / 2f, labelY);
-
-                        var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                        var labelText = li.OriginalTaskProcessResult?.ImageGeneratorDescription ?? "missing";
-                        ctx.DrawTextStandard(labelOpts, labelText, labelColor);
-
-                        imageIndex++;
-                    }
-
-                    currentY += rowHeight + subtitleBlockHeight;
-                }
-            });
-
-            return layoutImage;
-        }
-
-        private static Image<Rgba32> RenderEmptyLayout()
-        {
-            var empty = ImageUtils.CreateStandardImage(PlaceholderWidth, PlaceholderWidth + (UIConstants.Padding * 2), UIConstants.White);
-
-            empty.Mutate(ctx =>
-            {
-                var font = FontUtils.CreateFont(LabelFontSize, FontStyle.Regular);
-                var opts = FontUtils.CreateTextOptions(font, HorizontalAlignment.Center, VerticalAlignment.Center, UIConstants.LineSpacing);
-                opts.Origin = new PointF(empty.Width / 2f, empty.Height / 2f);
-                ctx.DrawTextStandard(opts, "No images", UIConstants.ErrorRed);
-            });
-
-            return empty;
-        }
-
-        private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcessResult> results, int placeholderWidth)
-        {
-            var loadedImages = new List<LoadedImage>();
-
-            foreach (var result in results)
-            {
-                if (result.IsSuccess)
-                {
-                    try
-                    {
-                        foreach (var imageBytes in result.GetAllImages)
-                        {
-                            if (imageBytes != null && imageBytes.Length > 0)
-                            {
-                                var image = Image.Load<Rgba32>(imageBytes);
-
-                                // Resize if height > 1300px, keeping proportions and max height of 1024px
-                                if (image.Height > 1300)
-                                {
-                                    var aspectRatio = (float)image.Width / image.Height;
-                                    var newHeight = 1024;
-                                    var newWidth = (int)(newHeight * aspectRatio);
-
-                                    Logger.Log($"Resizing image from {image.Width}x{image.Height} to {newWidth}x{newHeight} for combining");
-                                    image.Mutate(x => x.Resize(newWidth, newHeight));
-                                }
-
-                                loadedImages.Add(new LoadedImage
-                                {
-                                    OriginalTaskProcessResult = result,
-                                    Success = true,
-                                    Image = image,
-                                    Width = image.Width,
-                                    Height = image.Height
-                                });
-                            }
-                            else
-                            {
-                                // Success but no bytes somehow
-                                Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
-                                loadedImages.Add(CreateFailedGenerationPlaceholder(result, false, placeholderWidth));
-                            }
-                        }
-                    }
-                    catch (Exception ex)
-                    {
-                        // GetImageBytes() might throw if bytes weren't set, or image loading failed
-                        Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
-                        loadedImages.Add(CreateFailedGenerationPlaceholder(result, false, placeholderWidth));
-                    }
-                }
-                else
-                {
-                    // Failed result - show placeholder with error
-                    var errorMsg = !string.IsNullOrEmpty(result.ErrorMessage)
-                        ? result.ErrorMessage
-                        : result.GenericImageErrorType.ToString();
-                    Logger.Log($"Result failed for {result.ImageGenerator}: {errorMsg}");
-                    loadedImages.Add(CreateFailedGenerationPlaceholder(result, false, placeholderWidth));
-                }
-            }
-
-            return loadedImages.OrderBy(el => el.OriginalTaskProcessResult.ImageGeneratorDescription);
-        }
-
-        /// when an image fails to generate we add in a fixed-width holder in any combined image, to show what happened and be able to
-        /// at least see the filtering rules etc.
-        private static LoadedImage CreateFailedGenerationPlaceholder(TaskProcessResult result, bool successFindingImage, int placeholderWidth)
-        {
-            return new LoadedImage
-            {
-                OriginalTaskProcessResult = result,
-                Image = null,
-                Success = successFindingImage,
-                Width = placeholderWidth,
-                Height = placeholderWidth
-            };
-        }
-
-        private static async Task<string> SaveCombinedImageToDisk(Image<Rgba32> image, string prompt, Settings settings)
-        {
-            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
-            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
-            Directory.CreateDirectory(baseFolder);
-
-            var truncatedPrompt = FilenameGenerator.TruncatePrompt(prompt, 50);
-            var baseFilename = $"combined_{truncatedPrompt}_{DateTime.Now:HHmmss}";
-            var safeFilename = FilenameGenerator.SanitizeFilename(baseFilename);
-            var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
-
-            int counter = 1;
-            while (File.Exists(outputPath))
-            {
-                outputPath = Path.Combine(baseFolder, $"{safeFilename}_{counter}.png");
-                counter++;
-            }
-
-            await image.SaveAsPngAsync(outputPath);
-            Logger.Log($"Combined image saved: {outputPath}");
-
-            return outputPath;
-        }
-
-        /// <summary>
-        /// Opens an image file with the default application associated with its file type on the system.
-        /// </summary>
-        /// <param name="imagePath">The full path to the image file.</param>
-        public static void OpenImageWithDefaultApplication(string imagePath)
-        {
-            if (File.Exists(imagePath))
-            {
-                try
-                {
-                    Process.Start(new ProcessStartInfo(imagePath) { UseShellExecute = true });
-                }
-                catch (Exception ex)
-                {
-                    Console.WriteLine($"Error opening image {imagePath}: {ex.Message}");
-                }
-            }
-            else
-            {
-                Console.WriteLine($"Image file not found at {imagePath}");
-            }
-        }
-
-        private class LoadedImage
-        {
-            public TaskProcessResult OriginalTaskProcessResult { get; set; }
-            public bool Success { get; set; }
-            public Image<Rgba32> Image { get; set; }
-            public int Width { get; set; }
-            public int Height { get; set; }
-        }
-
-        private class ImageDimensions
-        {
-            public int TotalWidth { get; set; }
-            public int MaxImageHeight { get; set; }
-            public int SubtitleHeight { get; set; }
-            public int PromptHeight { get; set; }
-            public int TotalHeight { get; set; }
-        }
     }
 }
diff --git a/MultiImageClient/Implementation/RountripWorkflow.cs b/MultiImageClient/Implementation/RountripWorkflow.cs
new file mode 100644
index 0000000..5168449
--- /dev/null
+++ b/MultiImageClient/Implementation/RountripWorkflow.cs
@@ -0,0 +1,268 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.IO;
+using System.Net.Http;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+using System.Drawing;
+using System.Drawing.Imaging;
+using System.Threading;
+using System.Windows.Forms;
+using System.Security.Cryptography;
+
+namespace MultiImageClient
+{
+    /// Reads the clipboard and returns a text string if the item in the clipboard is a png image. if it isn't, it returns '' if it is, it returns a descriptive text string with the image size etc.
+    public class RoundTripWorkflow
+    {
+        private MultiClientRunStats? _stats;
+        private Settings? _settings;
+        private int _concurrency;
+        private ImageManager? _imageManager;
+        private IEnumerable<IImageGenerator>? _generators;
+        private static readonly HttpClient httpClient = new HttpClient();
+
+
+        private static byte[] ComputeFingerprint(byte[] data)
+        {
+            return SHA256.HashData(data);
+        }
+
+        private static byte[]? GetImageFromClipboard()
+        {
+            byte[]? clipboardBytes = null;
+
+            var thread = new Thread(() =>
+            {
+                try
+                {
+                    if (!Clipboard.ContainsImage())
+                    {
+                        return;
+                    }
+
+                    using var image = Clipboard.GetImage();
+                    if (image == null)
+                    {
+
+                        return;
+                    }
+
+                    using var ms = new MemoryStream();
+                    image.Save(ms, ImageFormat.Png);
+                    clipboardBytes = ms.ToArray();
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Failed to read image from clipboard: {ex.Message}");
+                }
+            });
+
+            thread.SetApartmentState(ApartmentState.STA);
+            thread.Start();
+            thread.Join();
+
+            return clipboardBytes;
+        }
+
+
+        private async Task DoWorkAsync(byte[] imageBytes)
+        {
+
+            var promptString = new PromptDetails();
+            var usingDesc = "\"You are an image describer. Produce a complete, literal description of the image and then careful inferences. Say what the image is like and its medium (photo, digital art, painting, etc.). State file/format details if available. Describe colors, lighting, textures for everything. Give composition and exact positioning/layout of all objects including their orientation, which direction they're facing, relative and absolute sizing, rotation state. If any text appears, transcribe it fully and describe typography: font family guess, weight, style, effects, color, spacing, alignment. Provide enough detail to fully reproduce the image from scratch. For any beings/humans, do NOT skimp: include estimated sex, race, ethnicity, emotional state, attitude, viewpoint, sex, gender,  attractiveness estimate, defects and/or good features, stylistic ethnicity cues, style group culturally, job/role if suggested or deriveable, mood/attitude/emotions toward self, the scene, objects within it or the viewer/artist, their current actions in detail, appearance (hair color/style/length), facing direction and position, estimated relationship to others, goals/intentions and brief history/backstory hypotheses. Speculate wildly. Also include detailed description of their clothing, body, skin, form, shape, muscles, curves, features, emotion and artistically as well as very specifically and in detail, for every piece of clothing they have on, or not. generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals etc. Do NOT skimp on this part. Output dense details, not necessarily in sentence form, no newlines, usefully densely descriptive and specific, non-repetitive. don't waste time with preludes or summaries or warnings/guides to interpret. Put the overall description at the start, giving the overall description of the scene, then fill in more and more with specific details as you go. include both practical facts about the image as well as overall judgements and descriptions. The output should be long, detailed, precise, and omit nothing. You will be judged by how accurately you estimate and describe EVERYTHING as well as you can. Note: for every human appearing in the image, you must include their sex, age, and state of dress as well as exactly what they're wearing.";
+            var qwenDescription = await DescribeImageWithLocalQwen(imageBytes, usingDesc);
+            if (string.IsNullOrEmpty(qwenDescription.Trim()))
+            {
+                return;
+            }
+            var pd = new PromptDetails();
+            pd.ReplacePrompt(qwenDescription, "qwen", TransformationType.InitialPrompt);
+            var generatorTasks = _generators!.Select(async generator =>
+            {
+                var theCopy = pd.Copy();
+
+                try
+                {
+                    var result = await generator.ProcessPromptAsync(generator, theCopy);
+                    await _imageManager!.ProcessAndSaveAsync(result, generator);
+                    Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
+
+                    return result;
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
+
+                    var res = new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = ex.Message,
+                        PromptDetails = theCopy
+                    };
+
+                    return res;
+                }
+            }).ToArray();
+
+            _stats!.PrintStats();
+            var results = await Task.WhenAll(generatorTasks);
+
+            try
+            {
+                var res = await ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, qwenDescription, _settings);
+                // we want to use RenderImageDescribeRendersHorizontally here!
+                Logger.Log($"Combined images saved to: {res}");
+                ImageCombiner.OpenImageWithDefaultApplication(res);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Failed to combine images: {ex.Message}");
+            }
+        }
+
+        //  prompt the user to copy an image to the clipboard.
+        //  then send that to local model qwen with description text.
+        //  then send that out to all the image generators again.
+        public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClientRunStats stats)
+        {
+            _settings = settings;
+            _concurrency = concurrency;
+            _stats = stats;
+            var getter = new GeneratorGroups(settings, concurrency, stats);
+            _generators = getter.GetAll();
+
+            _imageManager = new ImageManager(settings, stats);
+            while (true)
+            {
+                var heldNow = GetImageFromClipboard();
+                if (heldNow == null)
+                {
+                    Console.WriteLine("\tcopy an image to the clipboard; y to continue, q to quit.");
+                    var input = Console.ReadLine().Trim();
+
+                    if (input == "y")
+                    {
+                        continue;
+                    }
+                    else if (input == "q")
+                    {
+                        break;
+                    }
+                    else
+                    {
+                        Console.WriteLine("ok, skipping.");
+                    }
+                }
+                else
+                {
+                    Console.WriteLine($"\tnew clipboard image detected. {heldNow.Length} bytes. Starting describe => multiimage workflow.");
+                    await DoWorkAsync(heldNow);
+                }
+            }
+            return true;
+        }
+
+        public static async Task<string> DescribeImageWithLocalQwen(byte[] imageBytes, string prompt)
+        {
+            try
+            {
+                string base64Image = Convert.ToBase64String(imageBytes);
+
+                var requestBody = new OllamaChatRequest
+                {
+                    Model = "qwen2.5vl:7b",
+                    Stream = false,
+                    KeepAlive = "1h",
+                    Messages = new List<OllamaMessage>
+                    {
+                        new OllamaMessage
+                        {
+                            Role = "user",
+                            Content = prompt,
+                            Images = new List<string> { base64Image }
+                        }
+                    }
+                };
+
+                var jsonOptions = new JsonSerializerOptions
+                {
+                    PropertyNamingPolicy = JsonNamingPolicy.CamelCase,
+                    DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull
+                };
+
+                string jsonBody = JsonSerializer.Serialize(requestBody, jsonOptions);
+                var content = new StringContent(jsonBody, System.Text.Encoding.UTF8, "application/json");
+
+                var response = await httpClient.PostAsync("http://127.0.0.1:11434/api/chat", content);
+                response.EnsureSuccessStatusCode();
+
+                var responseString = await response.Content.ReadAsStringAsync();
+                var ollamaResponse = JsonSerializer.Deserialize<DescribeImageResponse>(responseString, jsonOptions);
+
+                return ollamaResponse?.Message?.Content ?? string.Empty;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Error describing image with Ollama: {ex.Message}\r\n{ex}");
+                return string.Empty;
+            }
+        }
+
+        private class OllamaChatRequest
+        {
+            [JsonPropertyName("model")]
+            public required string Model { get; set; }
+
+            [JsonPropertyName("stream")]
+            public required bool Stream { get; set; }
+
+            [JsonPropertyName("keep_alive")]
+            public required string KeepAlive { get; set; }
+
+            [JsonPropertyName("messages")]
+            public required List<OllamaMessage> Messages { get; set; } = new();
+        }
+
+        private class OllamaMessage
+        {
+            [JsonPropertyName("role")]
+            public required string Role { get; set; }
+
+            [JsonPropertyName("content")]
+            public required string Content { get; set; }
+
+            [JsonPropertyName("images")]
+            public required List<string> Images { get; set; } = new();
+        }
+
+        private class DescribeImageResponse
+        {
+            [JsonPropertyName("model")]
+            public required string Model { get; set; }
+
+            [JsonPropertyName("created_at")]
+            public required DateTime CreatedAt { get; set; }
+
+            [JsonPropertyName("message")]
+            public required OllamaResponseMessage Message { get; set; } = new() { Role = string.Empty, Content = string.Empty };
+
+            [JsonPropertyName("done")]
+            public required bool Done { get; set; }
+        }
+
+        private class OllamaResponseMessage
+        {
+            [JsonPropertyName("role")]
+            public required string Role { get; set; }
+
+            [JsonPropertyName("content")]
+            public required string Content { get; set; } = string.Empty;
+        }
+
+
+    }
+}
diff --git a/MultiImageClient/MultiImageClient.csproj b/MultiImageClient/MultiImageClient.csproj
index 6388033..fe161c5 100644
--- a/MultiImageClient/MultiImageClient.csproj
+++ b/MultiImageClient/MultiImageClient.csproj
@@ -2,10 +2,11 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFramework>net9.0-windows</TargetFramework>
     <LangVersion>13.0</LangVersion>
     <ProjectGuid>{0AB858B6-6624-452A-A126-9851F2552B0A}</ProjectGuid>
     <Platforms>AnyCPU;ARM64</Platforms>
+    <UseWindowsForms>true</UseWindowsForms>
   </PropertyGroup>
 
   <ItemGroup>
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 008b58f..240c4a1 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -1,16 +1,20 @@
-using IdeogramAPIClient;
+//using GenerativeAI.Types.RagEngine;
 
-using OpenAI.Images;
+using IdeogramAPIClient;
 
-using RecraftAPIClient;
+//using OpenAI.Images;
+
+//using RecraftAPIClient;
 
 using System;
-using System.Collections.Generic;
-using System.Drawing.Printing;
+//using System.Collections.Generic;
+//using System.Diagnostics.Metrics;
+//using System.Drawing.Printing;
 using System.IO;
-using System.Linq;
-using System.Runtime;
-using System.Security.Cryptography.X509Certificates;
+//using System.Linq;
+//using System.Reflection.Metadata.Ecma335;
+//using System.Runtime;
+//using System.Security.Cryptography.X509Certificates;
 using System.Text.Json;
 using System.Threading.Tasks;
 
@@ -50,131 +54,49 @@ static async Task Main(string[] args)
             var settings = Settings.LoadFromFile(settingsFilePath);
             var concurrency = 1;
             var stats = new MultiClientRunStats();
-            var getter = new GeneratorGroups(settings, concurrency, stats);
+
 
             var ideogramClient = new IdeogramClient(settings.IdeogramApiKey);
             var promptSource = new ReadAllPromptsFromFile(settings, "");
 
-            var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
+
             //var claudeStep = new ClaudeRewriteStep("Please take the following topic and make it specific; cast the die, take a chance, and expand it to a longer, detailed, specific description of a scene with all the elements of it described. Describe how the thing looks, feels, appears, etc in high detail. Put the most important aspects first such as the overall description, then continue by expanding that and adding more detail, structure, theme. Be specific in whatevr you do. If it seems appropriate, if a man appears don't just say 'the man', but instead actually give him a name, traits, personality, etc. The goal is to deeply expand the world envisioned by the original topic creator. Overall, follow the implied theem and goals of the creator, but just expand it into much more specifics and concreate actualization. Never use phrases or words like 'diverse', 'vibrant' etc. Be very concrete and precise in your descriptions, similar to how ansel adams describing a new treasured species of bird would - detailed, caring, dense, clear, sharp, speculative and never wordy or fluffy. every single word you say must be relevant to the goal of increasing the info you share about this image or sitaution or scene. Be direct and clear.", "", claudeService, 0.4m, stats);
 
-            var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of 10 specific items describing material, color, mood, tone, position in the image, and symbolic purpose of whatever the following prompt is about. the point is, intensify and make things very specific including LAYOUT and style and color andappearance and everything an artist would need. create and emit lots of dense, unusual, specific, random, dense acronym-filled sentences", "", claudeService, 0.4m, stats);
 
 
-            //var steps = new List<ITransformationStep>() { claudeStep };
-            var steps = new List<ITransformationStep>() {  };
+            var descSteps = "generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, specific and precist listing of all clothing seen and her outfit, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals, as well as the extent of the shot (face portrait, shoulder up shot, medium shot, head to toe, zoom in on her hand, etc.) etc. Do NOT skimp on this part.  When you reply, directly start the description and output no newlines, just the information. You do not need to use full sentences unless you feel it would be helpful; include everything starting generally and with the overall image info and layout, then proceeding to deeper and deeper fine details. also include the overall emotional effect and feeling of the image";
+
 
 
             /// ------------------- MAKING SERVICES ----------------------------
 
 
-            var imageManager = new ImageManager(settings, stats);
 
-            /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
-            var generators = getter.GetAll();
-            //var generators = getter.GetAllStylesOfRecraft();
 
 
-            var allTasks = new List<Task>();
+            /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
 
-            foreach (var promptString in promptSource.Prompts)
+            while (true)
             {
-                Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
-
-                Console.WriteLine($"Do you accept this? y for yes, n for no go to next, or type the prompt you want directly and hit enter.");
-                var val = Console.ReadLine();
-                if (val == "y")
+                Console.WriteLine($"What do you want to do: \n\n1. Batch Workflow (make a bunch images for each prompt you choose or write yourself)\r\n2. Image2desc2image take an image, then describe it, then batch that out into a bunch of images again.");
+                var val = Console.ReadLine().Trim();
+                if (val == "1")
                 {
-
+                    var bw = new BatchWorkflow();
+                    await bw.RunAsync(promptSource, settings, concurrency, stats);
+                    break;
                 }
-                else if (val == "n")
+                else if (val == "2")
                 {
-                    continue;
+                    var rw = new RoundTripWorkflow();
+                    await rw.RunAsync(settings, concurrency, stats);
+                    break;
                 }
                 else
                 {
-                    var usingVal = val.Trim();
-                    PromptLogger.LogPrompt(usingVal);
-                    promptString.UndoLastStep();
-                    promptString.ReplacePrompt(usingVal, "explanation", TransformationType.InitialPrompt);
-                }
-
-                if (promptString.Prompt.Length == 0)
-                {
-                    Console.WriteLine("no leng?");
-                    continue;
-                }
-
-                foreach (var step in steps)
-                {
-                    var res = await step.DoTransformation(promptString);
-                    if (!res)
-                    {
-                        Logger.Log($"\tStep {step.Name} failed: {promptString.Show()}");
-                        continue;
-                    }
-                    Logger.Log($"\tStep:{step.Name} => {promptString.Show()}");
-                }
-
-                var ii = 0;
-                while (ii < 1)
-                {
-                    // Create tasks for all generators for this prompt
-                    var generatorTasks = generators.Select(async generator =>
-                    {
-                        PromptDetails theCopy = null;
-
-                        try
-                        {
-                            theCopy = promptString.Copy();
-
-                            var result = await generator.ProcessPromptAsync(generator, theCopy);
-                            await imageManager.ProcessAndSaveAsync(result, generator);
-                            Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
-
-                            return result;
-                        }
-                        catch (Exception ex)
-                        {
-                            Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
-
-                            var res = new TaskProcessResult
-                            {
-                                IsSuccess = false,
-                                ErrorMessage = ex.Message,
-                                PromptDetails = theCopy
-                            };
-
-                            return res;
-                        }
-                    }).ToArray();
-
-                    allTasks.AddRange(generatorTasks);
-                    ii++;
-
-                    stats.PrintStats();
-                    var results = await Task.WhenAll(generatorTasks);
-
-                    try
-                    {
-                        var res = await ImageSaving.CombineImagesAsync(results, promptString.Prompt, settings, CombinedImageLayout.Square);
-                        Logger.Log($"Combined images saved to: {res}");
-                    }
-                    catch (Exception ex)
-                    {
-                        Logger.Log($"Failed to combine images: {ex.Message}");
-                    }
+                    Console.WriteLine("not recognized.)");
                 }
             }
-
-            // Wait for all tasks
-            // while (allTasks.Any(t => !t.IsCompleted))
-            // {
-            //     var completed = allTasks.Count(t => t.IsCompleted);
-            //     var remaining = allTasks.Count - completed;
-            //     Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining...");
-            //     await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
-            // }
         }
-    }   
+    }
 }
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/Services/Dalle3Generator.cs
index 808fcf4..2e15076 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/Services/Dalle3Generator.cs
@@ -90,10 +90,16 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                     Size = GeneratedImageSize.W1024xH1024
                 };
 
-                var res = await _openAIImageClient.GenerateImageAsync(promptDetails.Prompt, det);
+                var cappedSizePrompt = promptDetails.Prompt;
+                if (cappedSizePrompt.Length > 4000)
+                {
+                    cappedSizePrompt = cappedSizePrompt.Substring(0, 4000);
+                }
+
+                var res = await _openAIImageClient.GenerateImageAsync(cappedSizePrompt, det);
                 var uri = res.Value.ImageUri;
                 var revisedPrompt = res.Value.RevisedPrompt;
-                if (revisedPrompt != promptDetails.Prompt)
+                if (revisedPrompt != cappedSizePrompt)
                 {
                     promptDetails.ReplacePrompt(revisedPrompt, revisedPrompt, TransformationType.Dalle3Rewrite);
                 }
diff --git a/MultiImageClient/UIConstants.cs b/MultiImageClient/UIConstants.cs
index 4be49c1..9311c92 100644
--- a/MultiImageClient/UIConstants.cs
+++ b/MultiImageClient/UIConstants.cs
@@ -9,6 +9,7 @@ public static class UIConstants
         public const float LineSpacing = 1.15f;
         public const int MinFontSize = 8;
         public const int TextDpi = 150;
+        public const int LabelHeight = 20; // Default height for labels under images
 
         // Colors
         public static readonly Color White = Color.White;

From 1d516f1d73a711bee3b053b4e8ec94ffa77b52c3 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 28 Sep 2025 17:08:04 -0700
Subject: [PATCH 55/78] desc multi

---
 .../Implementation/ImageCombiner.cs           | 46 ++++++++++++++-----
 .../Implementation/RountripWorkflow.cs        |  2 +-
 2 files changed, 36 insertions(+), 12 deletions(-)

diff --git a/MultiImageClient/Implementation/ImageCombiner.cs b/MultiImageClient/Implementation/ImageCombiner.cs
index 9e084fd..9c9507f 100644
--- a/MultiImageClient/Implementation/ImageCombiner.cs
+++ b/MultiImageClient/Implementation/ImageCombiner.cs
@@ -317,12 +317,24 @@ public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<T
         // then further to the right, in order, just like we did in RenderHorizontalLayout, should be all the output images ortheir error placeholders.
         public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, Settings settings)
         {
-            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
+            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Regular);
             var originalImage = Image.Load<Rgba32>(originalImageBytes);
             if (originalImage == null)
             {
                 throw new Exception("no original image.");
             }
+
+            // Resize original image if height > 1024px, keeping proportions
+            if (originalImage.Height > 1024)
+            {
+                var aspectRatio = (float)originalImage.Width / originalImage.Height;
+                var newHeight = 1024;
+                var newWidth = (int)(newHeight * aspectRatio);
+
+                Logger.Log($"Resizing original image from {originalImage.Width}x{originalImage.Height} to {newWidth}x{newHeight} for combining");
+                originalImage.Mutate(x => x.Resize(newWidth, newHeight));
+            }
+
             var maxImageHeight = originalImage.Height;
             var descriptionWidth = 600; // Fixed width for description
             var descriptionHeight = maxImageHeight; // Description takes up the same height as the original image.
@@ -336,20 +348,18 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
 
             layoutImage.Mutate(ctx =>
             {
-                ctx.Fill(Color.White);
-                var currentX = 0;
+                ctx.ApplyStandardGraphicsOptions();
+                ctx.Fill(UIConstants.White);
+                float currentX = 0;
 
                 // 1. Draw Original Image
-                if (originalImage!= null)
-                {
-                    ctx.DrawImage(originalImage, new Point(currentX, 0), 1);
-                }
+                ctx.DrawImage(originalImage!, new Point((int)currentX, 0), 1f);
                 var labelOptsOriginal = new RichTextOptions(generatorFont)
                 {
                     HorizontalAlignment = HorizontalAlignment.Center,
                     VerticalAlignment = VerticalAlignment.Top
                 };
-                labelOptsOriginal.Origin = new PointF(currentX + originalImage.Width / 2f, maxImageHeight + UIConstants.Padding);
+                labelOptsOriginal.Origin = new PointF(currentX + originalImage!.Width / 2f, maxImageHeight + UIConstants.Padding);
                 ctx.DrawTextStandard(labelOptsOriginal, "Original Image", Color.Black);
                 currentX += originalImage.Width;
 
@@ -361,6 +371,20 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                     WrappingLength = descriptionWidth - 2 * UIConstants.Padding, // Allow for padding inside the description box
                     Origin = new PointF(currentX + UIConstants.Padding, UIConstants.Padding)
                 };
+                // Dynamically adjust font size for description text
+                var descriptionFontSize = CombinedImageGeneratorFontSize;
+                var descriptionFont = FontUtils.CreateFont(descriptionFontSize, FontStyle.Regular);
+                var descriptionTextSize = ImageUtils.MeasureTextHeight(descriptionText, descriptionFont, descriptionTextOptions.WrappingLength, descriptionTextOptions.LineSpacing);
+
+                while (descriptionTextSize > descriptionHeight && descriptionFontSize > 5) // Minimum font size 5
+                {
+                    descriptionFontSize -= 1;
+                    descriptionFont = FontUtils.CreateFont(descriptionFontSize, FontStyle.Regular);
+                    descriptionTextSize = ImageUtils.MeasureTextHeight(descriptionText, descriptionFont, descriptionTextOptions.WrappingLength, descriptionTextOptions.LineSpacing);
+                    descriptionTextOptions.Font = descriptionFont;
+                }
+
+
                 ctx.Fill(Color.LightGray, new RectangleF(currentX, 0, descriptionWidth, descriptionHeight)); // Background for text
                 ctx.DrawTextStandard(descriptionTextOptions, descriptionText, Color.Black);
 
@@ -378,12 +402,12 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 {
                     if (li.Image != null)
                     {
-                        ctx.DrawImage(li.Image, new Point(currentX, 0), 1);
+                        ctx.DrawImage(li.Image, new Point((int)currentX, 0), 1);
                     }
                     else
                     {
                         // Draw placeholder for error images
-                        ctx.Fill(Color.LightGray, new Rectangle(currentX, 0, li.Width, li.Height));
+                        ctx.Fill(Color.LightGray, new Rectangle((int)currentX, 0, li.Width, li.Height));
                         var errorTextOptions = new RichTextOptions(generatorFont)
                         {
                             HorizontalAlignment = HorizontalAlignment.Center,
@@ -532,7 +556,7 @@ private static async Task<string> SaveCombinedImageToDisk(Image<Rgba32> image, s
         public class LoadedImage
         {
             public bool Success { get; set; }
-            public string Result { get; set; }
+            public string? Result { get; set; }
             public Image<Rgba32>? Image { get; set; }
             public int Width { get; set; }
             public int Height { get; set; }
diff --git a/MultiImageClient/Implementation/RountripWorkflow.cs b/MultiImageClient/Implementation/RountripWorkflow.cs
index 5168449..2221dfc 100644
--- a/MultiImageClient/Implementation/RountripWorkflow.cs
+++ b/MultiImageClient/Implementation/RountripWorkflow.cs
@@ -73,7 +73,7 @@ private async Task DoWorkAsync(byte[] imageBytes)
         {
 
             var promptString = new PromptDetails();
-            var usingDesc = "\"You are an image describer. Produce a complete, literal description of the image and then careful inferences. Say what the image is like and its medium (photo, digital art, painting, etc.). State file/format details if available. Describe colors, lighting, textures for everything. Give composition and exact positioning/layout of all objects including their orientation, which direction they're facing, relative and absolute sizing, rotation state. If any text appears, transcribe it fully and describe typography: font family guess, weight, style, effects, color, spacing, alignment. Provide enough detail to fully reproduce the image from scratch. For any beings/humans, do NOT skimp: include estimated sex, race, ethnicity, emotional state, attitude, viewpoint, sex, gender,  attractiveness estimate, defects and/or good features, stylistic ethnicity cues, style group culturally, job/role if suggested or deriveable, mood/attitude/emotions toward self, the scene, objects within it or the viewer/artist, their current actions in detail, appearance (hair color/style/length), facing direction and position, estimated relationship to others, goals/intentions and brief history/backstory hypotheses. Speculate wildly. Also include detailed description of their clothing, body, skin, form, shape, muscles, curves, features, emotion and artistically as well as very specifically and in detail, for every piece of clothing they have on, or not. generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals etc. Do NOT skimp on this part. Output dense details, not necessarily in sentence form, no newlines, usefully densely descriptive and specific, non-repetitive. don't waste time with preludes or summaries or warnings/guides to interpret. Put the overall description at the start, giving the overall description of the scene, then fill in more and more with specific details as you go. include both practical facts about the image as well as overall judgements and descriptions. The output should be long, detailed, precise, and omit nothing. You will be judged by how accurately you estimate and describe EVERYTHING as well as you can. Note: for every human appearing in the image, you must include their sex, age, and state of dress as well as exactly what they're wearing.";
+            var usingDesc = "\"You are an image describer. Produce a complete, literal description of the image and then careful inferences.  Note: for every human appearing in the image, you must include their sex, age, and state of dress as well as exactly what they're wearing. Say what the image is like and its medium (photo, digital art, painting, etc.). State file/format details if available. Describe colors, lighting, textures for everything. Give composition and exact positioning/layout of all objects including their orientation, which direction they're facing, relative and absolute sizing, rotation state. If any text appears, transcribe it fully and describe typography: font family guess, weight, style, effects, color, spacing, alignment. Provide enough detail to fully reproduce the image from scratch. For any beings/humans, do NOT skimp: include estimated sex, race, ethnicity, emotional state, attitude, viewpoint, sex, gender,  attractiveness estimate, defects and/or good features, stylistic ethnicity cues, style group culturally, job/role if suggested or deriveable, mood/attitude/emotions toward self, the scene, objects within it or the viewer/artist, their current actions in detail, appearance (hair color/style/length), facing direction and position, estimated relationship to others, goals/intentions and brief history/backstory hypotheses. Speculate wildly. Also include detailed description of their clothing, body, skin, form, shape, muscles, curves, features, emotion and artistically as well as very specifically and in detail, for every piece of clothing they have on, or not. generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals etc. Do NOT skimp on this part. Output dense details, not necessarily in sentence form, no newlines, usefully densely descriptive and specific, non-repetitive. don't waste time with preludes or summaries or warnings/guides to interpret. Put the overall description at the start, giving the overall description of the scene, then fill in more and more with specific details as you go. include both practical facts about the image as well as overall judgements and descriptions. The output should be long, detailed, precise, and omit nothing. You will be judged by how accurately you estimate and describe EVERYTHING as well as you can. ";
             var qwenDescription = await DescribeImageWithLocalQwen(imageBytes, usingDesc);
             if (string.IsNullOrEmpty(qwenDescription.Trim()))
             {

From 9f82e00af6919cfed0940dbb5c7392d0e04f7549 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 28 Sep 2025 17:33:36 -0700
Subject: [PATCH 56/78] getting there

---
 .../Implementation/ImageCombiner.cs           | 79 ++++++++++++-------
 1 file changed, 52 insertions(+), 27 deletions(-)

diff --git a/MultiImageClient/Implementation/ImageCombiner.cs b/MultiImageClient/Implementation/ImageCombiner.cs
index 9c9507f..da3b0b8 100644
--- a/MultiImageClient/Implementation/ImageCombiner.cs
+++ b/MultiImageClient/Implementation/ImageCombiner.cs
@@ -30,6 +30,7 @@ public static class ImageCombiner
     {
         private const int CombinedImageGeneratorFontSize = 24;
         private const int CombinedImagePromptFontSize = 32;
+        private const int GeneratedImageLabelFontSize = 18;
         private const float LabelLineHeightMultiplier = 1.5f;
         private const int PlaceholderWidth = 300;
         private const int LabelFontSize = 12;
@@ -317,7 +318,7 @@ public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<T
         // then further to the right, in order, just like we did in RenderHorizontalLayout, should be all the output images ortheir error placeholders.
         public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, Settings settings)
         {
-            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Regular);
+            var labelFont = FontUtils.CreateFont(36, FontStyle.Bold); // Large font for labels
             var originalImage = Image.Load<Rgba32>(originalImageBytes);
             if (originalImage == null)
             {
@@ -340,9 +341,12 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
             var descriptionHeight = maxImageHeight; // Description takes up the same height as the original image.
             var loadedImages = LoadResultImages(results).ToList();
 
-            // Calculate total width
+            // Measure label heights to account for them in total height
+            var labelHeight = 50; // Approximate height for 36pt font labels
+            
+            // Calculate total width and height
             var totalWidth = originalImage.Width + descriptionWidth + loadedImages.Sum(li => li.Width);
-            var totalHeight = maxImageHeight + UIConstants.LabelHeight + UIConstants.Padding;
+            var totalHeight = maxImageHeight + labelHeight + UIConstants.Padding * 2;
 
             var layoutImage = new Image<Rgba32>(totalWidth, totalHeight);
 
@@ -354,7 +358,7 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
 
                 // 1. Draw Original Image
                 ctx.DrawImage(originalImage!, new Point((int)currentX, 0), 1f);
-                var labelOptsOriginal = new RichTextOptions(generatorFont)
+                var labelOptsOriginal = new RichTextOptions(labelFont)
                 {
                     HorizontalAlignment = HorizontalAlignment.Center,
                     VerticalAlignment = VerticalAlignment.Top
@@ -364,31 +368,48 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 currentX += originalImage.Width;
 
                 // 2. Draw Description Text
-                var descriptionTextOptions = new RichTextOptions(generatorFont)
+                // Use binary search to find the optimal font size that fills the available space
+                var minFontSize = 8;
+                var maxFontSize = 150; // Start with a large maximum
+                var optimalFontSize = minFontSize;
+                var availableHeight = descriptionHeight - 2 * UIConstants.Padding;
+                var wrappingWidth = descriptionWidth - 2 * UIConstants.Padding;
+                
+                // Binary search for the optimal font size
+                while (minFontSize <= maxFontSize)
+                {
+                    var midFontSize = (minFontSize + maxFontSize) / 2;
+                    var testFont = FontUtils.CreateFont(midFontSize, FontStyle.Regular);
+                    var testHeight = ImageUtils.MeasureTextHeight(descriptionText, testFont, UIConstants.LineSpacing, wrappingWidth);
+                    
+                    if (testHeight <= availableHeight)
+                    {
+                        // Text fits, try a larger size
+                        optimalFontSize = midFontSize;
+                        minFontSize = midFontSize + 1;
+                    }
+                    else
+                    {
+                        // Text doesn't fit, try a smaller size
+                        maxFontSize = midFontSize - 1;
+                    }
+                }
+                
+                // Create the final font and text options with the optimal size
+                var descriptionFont = FontUtils.CreateFont(optimalFontSize, FontStyle.Regular);
+                var descriptionTextOptions = new RichTextOptions(descriptionFont)
                 {
                     HorizontalAlignment = HorizontalAlignment.Left,
                     VerticalAlignment = VerticalAlignment.Top,
-                    WrappingLength = descriptionWidth - 2 * UIConstants.Padding, // Allow for padding inside the description box
+                    WrappingLength = wrappingWidth,
                     Origin = new PointF(currentX + UIConstants.Padding, UIConstants.Padding)
                 };
-                // Dynamically adjust font size for description text
-                var descriptionFontSize = CombinedImageGeneratorFontSize;
-                var descriptionFont = FontUtils.CreateFont(descriptionFontSize, FontStyle.Regular);
-                var descriptionTextSize = ImageUtils.MeasureTextHeight(descriptionText, descriptionFont, descriptionTextOptions.WrappingLength, descriptionTextOptions.LineSpacing);
-
-                while (descriptionTextSize > descriptionHeight && descriptionFontSize > 5) // Minimum font size 5
-                {
-                    descriptionFontSize -= 1;
-                    descriptionFont = FontUtils.CreateFont(descriptionFontSize, FontStyle.Regular);
-                    descriptionTextSize = ImageUtils.MeasureTextHeight(descriptionText, descriptionFont, descriptionTextOptions.WrappingLength, descriptionTextOptions.LineSpacing);
-                    descriptionTextOptions.Font = descriptionFont;
-                }
 
 
                 ctx.Fill(Color.LightGray, new RectangleF(currentX, 0, descriptionWidth, descriptionHeight)); // Background for text
                 ctx.DrawTextStandard(descriptionTextOptions, descriptionText, Color.Black);
 
-                var labelOptsDescription = new RichTextOptions(generatorFont)
+                var labelOptsDescription = new RichTextOptions(labelFont)
                 {
                     HorizontalAlignment = HorizontalAlignment.Center,
                     VerticalAlignment = VerticalAlignment.Top
@@ -397,35 +418,39 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 ctx.DrawTextStandard(labelOptsDescription, "Description", Color.Black);
                 currentX += descriptionWidth;
 
-                // 3. Draw Loaded Images
+                // 3. Draw Loaded Images with their labels
                 foreach (var li in loadedImages)
                 {
+                    // Calculate vertical offset to align bottom of image with maxImageHeight
+                    var imageYOffset = maxImageHeight - li.Height;
+                    
                     if (li.Image != null)
                     {
-                        ctx.DrawImage(li.Image, new Point((int)currentX, 0), 1);
+                        ctx.DrawImage(li.Image, new Point((int)currentX, imageYOffset), 1);
                     }
                     else
                     {
                         // Draw placeholder for error images
-                        ctx.Fill(Color.LightGray, new Rectangle((int)currentX, 0, li.Width, li.Height));
-                        var errorTextOptions = new RichTextOptions(generatorFont)
+                        ctx.Fill(Color.LightGray, new Rectangle((int)currentX, imageYOffset, li.Width, li.Height));
+                        var errorTextOptions = new RichTextOptions(labelFont)
                         {
                             HorizontalAlignment = HorizontalAlignment.Center,
                             VerticalAlignment = VerticalAlignment.Center
                         };
-                        errorTextOptions.Origin = new PointF(currentX + li.Width / 2f, li.Height / 2f);
+                        errorTextOptions.Origin = new PointF(currentX + li.Width / 2f, imageYOffset + li.Height / 2f);
                         ctx.DrawTextStandard(errorTextOptions, "ERROR", Color.Red);
                     }
 
-                    var labelOpts = new RichTextOptions(generatorFont)
+                    var labelOpts = new RichTextOptions(labelFont)
                     {
                         HorizontalAlignment = HorizontalAlignment.Center,
                         VerticalAlignment = VerticalAlignment.Top
                     };
-                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
+                    var labelText = li.Result;
+                    // Calculate the vertical position based on maxImageHeight, padding, and actual label text height.
+                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding); // Start UIConstants.Padding below the image
 
                     var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                    var labelText = li.Result;
                     ctx.DrawTextStandard(labelOpts, labelText, labelColor);
 
                     currentX += li.Width;

From 9a38ed8e1fd6a53d06ea0987bf878ae9ad7d71dc Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Sun, 28 Sep 2025 17:34:14 -0700
Subject: [PATCH 57/78] fixed

---
 .../request/IdeogramDescribeRequest.cs        |   24 +-
 IdeogramAPI/request/IdeogramFile.cs           |   42 +-
 .../request/IdeogramV3GenerateRequest.cs      |   88 +-
 .../request/options/IdeogramRenderingSpeed.cs |   22 +-
 .../request/options/IdeogramV3StyleType.cs    |   22 +-
 .../response/IdeogramDescribeResponse.cs      |   34 +-
 .../response/V3/IdeogramV3GenerateResponse.cs |   32 +-
 .../response/V3/IdeogramV3ImageObject.cs      |   52 +-
 .../Implementation/BatchWorkflow.cs           |  262 ++--
 .../Implementation/ImageCombiner.cs           | 1202 ++++++++---------
 .../Implementation/RountripWorkflow.cs        |  536 ++++----
 .../Services/IdeogramV3Generator.cs           |  376 +++---
 12 files changed, 1346 insertions(+), 1346 deletions(-)

diff --git a/IdeogramAPI/request/IdeogramDescribeRequest.cs b/IdeogramAPI/request/IdeogramDescribeRequest.cs
index d16d3bc..3c4b7b9 100644
--- a/IdeogramAPI/request/IdeogramDescribeRequest.cs
+++ b/IdeogramAPI/request/IdeogramDescribeRequest.cs
@@ -1,12 +1,12 @@
-using System;
-using System.IO;
-using Newtonsoft.Json;
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramDescribeRequest
-    {
-        public byte[] ImageFile { get; set; }
-        public string DescribeModelVersion { get; set; }
-    }
-}
+using System;
+using System.IO;
+using Newtonsoft.Json;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramDescribeRequest
+    {
+        public byte[] ImageFile { get; set; }
+        public string DescribeModelVersion { get; set; }
+    }
+}
diff --git a/IdeogramAPI/request/IdeogramFile.cs b/IdeogramAPI/request/IdeogramFile.cs
index aa0df3d..d02e0fa 100644
--- a/IdeogramAPI/request/IdeogramFile.cs
+++ b/IdeogramAPI/request/IdeogramFile.cs
@@ -1,21 +1,21 @@
-using System;
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramFile
-    {
-        public IdeogramFile(byte[] content, string fileName, string contentType = "application/octet-stream")
-        {
-            Content = content ?? throw new ArgumentNullException(nameof(content));
-            FileName = string.IsNullOrWhiteSpace(fileName) ? "file" : fileName;
-            ContentType = string.IsNullOrWhiteSpace(contentType) ? "application/octet-stream" : contentType;
-        }
-
-        public byte[] Content { get; }
-
-        public string FileName { get; }
-
-        public string ContentType { get; }
-    }
-}
-
+using System;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramFile
+    {
+        public IdeogramFile(byte[] content, string fileName, string contentType = "application/octet-stream")
+        {
+            Content = content ?? throw new ArgumentNullException(nameof(content));
+            FileName = string.IsNullOrWhiteSpace(fileName) ? "file" : fileName;
+            ContentType = string.IsNullOrWhiteSpace(contentType) ? "application/octet-stream" : contentType;
+        }
+
+        public byte[] Content { get; }
+
+        public string FileName { get; }
+
+        public string ContentType { get; }
+    }
+}
+
diff --git a/IdeogramAPI/request/IdeogramV3GenerateRequest.cs b/IdeogramAPI/request/IdeogramV3GenerateRequest.cs
index 8f746de..1db313e 100644
--- a/IdeogramAPI/request/IdeogramV3GenerateRequest.cs
+++ b/IdeogramAPI/request/IdeogramV3GenerateRequest.cs
@@ -1,44 +1,44 @@
-using System;
-using System.Collections.Generic;
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramV3GenerateRequest
-    {
-        public IdeogramV3GenerateRequest(string prompt)
-        {
-            if (string.IsNullOrWhiteSpace(prompt))
-                throw new ArgumentException("Prompt is required.", nameof(prompt));
-
-            Prompt = prompt;
-        }
-
-        public string Prompt { get; }
-
-        public string AspectRatio { get; set; }
-
-
-        public IdeogramRenderingSpeed? RenderingSpeed { get; set; }
-
-        public IdeogramMagicPromptOption? MagicPrompt { get; set; }
-
-        public IdeogramV3StyleType StyleType { get; set; }
-
-        public string? StylePreset { get; set; }
-
-        public string? NegativePrompt { get; set; }
-
-        public int? NumImages { get; set; }
-
-        public int? Seed { get; set; }
-
-        public IList<string> StyleCodes { get; } = new List<string>();
-
-        public IList<IdeogramFile> StyleReferenceImages { get; } = new List<IdeogramFile>();
-
-        public IList<IdeogramFile> CharacterReferenceImages { get; } = new List<IdeogramFile>();
-
-        public IList<IdeogramFile> CharacterReferenceImageMasks { get; } = new List<IdeogramFile>();
-    }
-}
-
+using System;
+using System.Collections.Generic;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramV3GenerateRequest
+    {
+        public IdeogramV3GenerateRequest(string prompt)
+        {
+            if (string.IsNullOrWhiteSpace(prompt))
+                throw new ArgumentException("Prompt is required.", nameof(prompt));
+
+            Prompt = prompt;
+        }
+
+        public string Prompt { get; }
+
+        public string AspectRatio { get; set; }
+
+
+        public IdeogramRenderingSpeed? RenderingSpeed { get; set; }
+
+        public IdeogramMagicPromptOption? MagicPrompt { get; set; }
+
+        public IdeogramV3StyleType StyleType { get; set; }
+
+        public string? StylePreset { get; set; }
+
+        public string? NegativePrompt { get; set; }
+
+        public int? NumImages { get; set; }
+
+        public int? Seed { get; set; }
+
+        public IList<string> StyleCodes { get; } = new List<string>();
+
+        public IList<IdeogramFile> StyleReferenceImages { get; } = new List<IdeogramFile>();
+
+        public IList<IdeogramFile> CharacterReferenceImages { get; } = new List<IdeogramFile>();
+
+        public IList<IdeogramFile> CharacterReferenceImageMasks { get; } = new List<IdeogramFile>();
+    }
+}
+
diff --git a/IdeogramAPI/request/options/IdeogramRenderingSpeed.cs b/IdeogramAPI/request/options/IdeogramRenderingSpeed.cs
index 98479b0..d3b75b5 100644
--- a/IdeogramAPI/request/options/IdeogramRenderingSpeed.cs
+++ b/IdeogramAPI/request/options/IdeogramRenderingSpeed.cs
@@ -1,11 +1,11 @@
-namespace IdeogramAPIClient
-{
-    public enum IdeogramRenderingSpeed
-    {
-        FLASH,
-        TURBO,
-        DEFAULT,
-        QUALITY
-    }
-}
-
+namespace IdeogramAPIClient
+{
+    public enum IdeogramRenderingSpeed
+    {
+        FLASH,
+        TURBO,
+        DEFAULT,
+        QUALITY
+    }
+}
+
diff --git a/IdeogramAPI/request/options/IdeogramV3StyleType.cs b/IdeogramAPI/request/options/IdeogramV3StyleType.cs
index b8cb554..31108ca 100644
--- a/IdeogramAPI/request/options/IdeogramV3StyleType.cs
+++ b/IdeogramAPI/request/options/IdeogramV3StyleType.cs
@@ -1,11 +1,11 @@
-namespace IdeogramAPIClient
-{
-    public enum IdeogramV3StyleType
-    {
-        AUTO,
-        GENERAL,
-        REALISTIC,
-        DESIGN,
-        FICTION,
-    }
-}
+namespace IdeogramAPIClient
+{
+    public enum IdeogramV3StyleType
+    {
+        AUTO,
+        GENERAL,
+        REALISTIC,
+        DESIGN,
+        FICTION,
+    }
+}
diff --git a/IdeogramAPI/response/IdeogramDescribeResponse.cs b/IdeogramAPI/response/IdeogramDescribeResponse.cs
index 1bb0e40..22bb885 100644
--- a/IdeogramAPI/response/IdeogramDescribeResponse.cs
+++ b/IdeogramAPI/response/IdeogramDescribeResponse.cs
@@ -1,17 +1,17 @@
-using Newtonsoft.Json;
-using System.Collections.Generic;
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramDescription
-    {
-        [JsonProperty("text")]
-        public string Text { get; set; }
-    }
-
-    public class IdeogramDescribeResponse
-    {
-        [JsonProperty("descriptions")]
-        public List<IdeogramDescription> Descriptions { get; set; }
-    }
-}
+using Newtonsoft.Json;
+using System.Collections.Generic;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramDescription
+    {
+        [JsonProperty("text")]
+        public string Text { get; set; }
+    }
+
+    public class IdeogramDescribeResponse
+    {
+        [JsonProperty("descriptions")]
+        public List<IdeogramDescription> Descriptions { get; set; }
+    }
+}
diff --git a/IdeogramAPI/response/V3/IdeogramV3GenerateResponse.cs b/IdeogramAPI/response/V3/IdeogramV3GenerateResponse.cs
index 1d44093..2afbb2f 100644
--- a/IdeogramAPI/response/V3/IdeogramV3GenerateResponse.cs
+++ b/IdeogramAPI/response/V3/IdeogramV3GenerateResponse.cs
@@ -1,16 +1,16 @@
-using System;
-using System.Collections.Generic;
-using Newtonsoft.Json;
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramV3GenerateResponse
-    {
-        [JsonProperty("created")]
-        public DateTime Created { get; set; }
-
-        [JsonProperty("data")]
-        public List<IdeogramV3ImageObject> Data { get; set; } = new List<IdeogramV3ImageObject>();
-    }
-}
-
+using System;
+using System.Collections.Generic;
+using Newtonsoft.Json;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramV3GenerateResponse
+    {
+        [JsonProperty("created")]
+        public DateTime Created { get; set; }
+
+        [JsonProperty("data")]
+        public List<IdeogramV3ImageObject> Data { get; set; } = new List<IdeogramV3ImageObject>();
+    }
+}
+
diff --git a/IdeogramAPI/response/V3/IdeogramV3ImageObject.cs b/IdeogramAPI/response/V3/IdeogramV3ImageObject.cs
index 1cf4037..75fdb7a 100644
--- a/IdeogramAPI/response/V3/IdeogramV3ImageObject.cs
+++ b/IdeogramAPI/response/V3/IdeogramV3ImageObject.cs
@@ -1,26 +1,26 @@
-using Newtonsoft.Json;
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramV3ImageObject
-    {
-        [JsonProperty("prompt")]
-        public string Prompt { get; set; } = string.Empty;
-
-        [JsonProperty("resolution")]
-        public string Resolution { get; set; } = string.Empty;
-
-        [JsonProperty("is_image_safe")]
-        public bool IsImageSafe { get; set; }
-
-        [JsonProperty("seed")]
-        public int Seed { get; set; }
-
-        [JsonProperty("url")]
-        public string Url { get; set; } = string.Empty;
-
-        [JsonProperty("style_type")]
-        public string StyleType { get; set; } = string.Empty;
-    }
-}
-
+using Newtonsoft.Json;
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramV3ImageObject
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; } = string.Empty;
+
+        [JsonProperty("resolution")]
+        public string Resolution { get; set; } = string.Empty;
+
+        [JsonProperty("is_image_safe")]
+        public bool IsImageSafe { get; set; }
+
+        [JsonProperty("seed")]
+        public int Seed { get; set; }
+
+        [JsonProperty("url")]
+        public string Url { get; set; } = string.Empty;
+
+        [JsonProperty("style_type")]
+        public string StyleType { get; set; } = string.Empty;
+    }
+}
+
diff --git a/MultiImageClient/Implementation/BatchWorkflow.cs b/MultiImageClient/Implementation/BatchWorkflow.cs
index be280a9..f3ab33e 100644
--- a/MultiImageClient/Implementation/BatchWorkflow.cs
+++ b/MultiImageClient/Implementation/BatchWorkflow.cs
@@ -1,132 +1,132 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class BatchWorkflow
-    {
-        public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings settings, int concurrency, MultiClientRunStats stats)
-        {
-            var getter = new GeneratorGroups(settings, concurrency, stats);
-
-            var generators = getter.GetAll();
-            //var generators = getter.GetAllStylesOfRecraft();
-
-            var imageManager = new ImageManager(settings, stats);
-            var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
-
-
-            var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of specific items describing material, color, mood, tone, position in the image, and symbolic purpose of whatever the following prompt is about. the point is, intensify and make things very specific including LAYOUT and style and color andappearance and everything an artist would need. create and emit lots of dense, unusual, specific, random, dense sentences. Note: you may never shrink or remove information from the prompt. Your job is ONLY to expand and make it concrete.  What you output should always be longer than what you receive, with much more specific details, etc.", "", claudeService, 0.4m, stats);
-
-            //var steps = new List<ITransformationStep>() { claudeStep };
-            var steps = new List<ITransformationStep>() { };
-
-            var allTasks = new List<Task>();
-
-            foreach (var promptString in promptSource.Prompts)
-            {
-                Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
-
-                Console.WriteLine($"Do you accept this? y for yes, n for no go to next, or type the prompt you want directly and hit enter.");
-                var val = Console.ReadLine();
-                if (val == "y")
-                {
-
-                }
-                else if (val == "n")
-                {
-                    continue;
-                }
-                else
-                {
-                    var usingVal = val.Trim();
-                    PromptLogger.LogPrompt(usingVal);
-                    promptString.UndoLastStep();
-                    promptString.ReplacePrompt(usingVal, "explanation", TransformationType.InitialPrompt);
-                }
-
-                if (promptString.Prompt.Length == 0)
-                {
-                    Console.WriteLine("no leng?");
-                    continue;
-                }
-
-                foreach (var step in steps)
-                {
-                    var res = await step.DoTransformation(promptString);
-                    if (!res)
-                    {
-                        Logger.Log($"\tStep {step.Name} failed: {promptString.Show()}");
-                        continue;
-                    }
-                    Logger.Log($"\tStep:{step.Name} => {promptString.Show()}");
-                }
-
-                var ii = 0;
-                while (ii < 1)
-                {
-                    // Create tasks for all generators for this prompt
-                    var generatorTasks = generators.Select(async generator =>
-                    {
-                        PromptDetails theCopy = null;
-
-                        try
-                        {
-                            theCopy = promptString.Copy();
-
-                            var result = await generator.ProcessPromptAsync(generator, theCopy);
-                            await imageManager.ProcessAndSaveAsync(result, generator);
-                            Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
-
-                            return result;
-                        }
-                        catch (Exception ex)
-                        {
-                            Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
-
-                            var res = new TaskProcessResult
-                            {
-                                IsSuccess = false,
-                                ErrorMessage = ex.Message,
-                                PromptDetails = theCopy
-                            };
-
-                            return res;
-                        }
-                    }).ToArray();
-
-                    allTasks.AddRange(generatorTasks);
-                    ii++;
-
-                    stats.PrintStats();
-                    var results = await Task.WhenAll(generatorTasks);
-
-                    try
-                    {
-                        var res = await ImageCombiner.CreateBatchLayoutImageHorizontalAsync(results, promptString.Prompt, settings);
-                        Logger.Log($"Combined images saved to: {res}");
-                        ImageCombiner.OpenImageWithDefaultApplication(res);
-                    }
-                    catch (Exception ex)
-                    {
-                        Logger.Log($"Failed to combine images: {ex.Message}");
-                        return false;
-                    }
-                }
-            }
-            return true;
-
-            // Wait for all tasks
-            // while (allTasks.Any(t => !t.IsCompleted))
-            // {
-            //     var completed = allTasks.Count(t => t.IsCompleted);
-            //     var remaining = allTasks.Count - completed;
-            //     Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining...");
-            //     await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
-            // }
-        }
-    }
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class BatchWorkflow
+    {
+        public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings settings, int concurrency, MultiClientRunStats stats)
+        {
+            var getter = new GeneratorGroups(settings, concurrency, stats);
+
+            var generators = getter.GetAll();
+            //var generators = getter.GetAllStylesOfRecraft();
+
+            var imageManager = new ImageManager(settings, stats);
+            var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
+
+
+            var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of specific items describing material, color, mood, tone, position in the image, and symbolic purpose of whatever the following prompt is about. the point is, intensify and make things very specific including LAYOUT and style and color andappearance and everything an artist would need. create and emit lots of dense, unusual, specific, random, dense sentences. Note: you may never shrink or remove information from the prompt. Your job is ONLY to expand and make it concrete.  What you output should always be longer than what you receive, with much more specific details, etc.", "", claudeService, 0.4m, stats);
+
+            //var steps = new List<ITransformationStep>() { claudeStep };
+            var steps = new List<ITransformationStep>() { };
+
+            var allTasks = new List<Task>();
+
+            foreach (var promptString in promptSource.Prompts)
+            {
+                Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
+
+                Console.WriteLine($"Do you accept this? y for yes, n for no go to next, or type the prompt you want directly and hit enter.");
+                var val = Console.ReadLine();
+                if (val == "y")
+                {
+
+                }
+                else if (val == "n")
+                {
+                    continue;
+                }
+                else
+                {
+                    var usingVal = val.Trim();
+                    PromptLogger.LogPrompt(usingVal);
+                    promptString.UndoLastStep();
+                    promptString.ReplacePrompt(usingVal, "explanation", TransformationType.InitialPrompt);
+                }
+
+                if (promptString.Prompt.Length == 0)
+                {
+                    Console.WriteLine("no leng?");
+                    continue;
+                }
+
+                foreach (var step in steps)
+                {
+                    var res = await step.DoTransformation(promptString);
+                    if (!res)
+                    {
+                        Logger.Log($"\tStep {step.Name} failed: {promptString.Show()}");
+                        continue;
+                    }
+                    Logger.Log($"\tStep:{step.Name} => {promptString.Show()}");
+                }
+
+                var ii = 0;
+                while (ii < 1)
+                {
+                    // Create tasks for all generators for this prompt
+                    var generatorTasks = generators.Select(async generator =>
+                    {
+                        PromptDetails theCopy = null;
+
+                        try
+                        {
+                            theCopy = promptString.Copy();
+
+                            var result = await generator.ProcessPromptAsync(generator, theCopy);
+                            await imageManager.ProcessAndSaveAsync(result, generator);
+                            Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
+
+                            return result;
+                        }
+                        catch (Exception ex)
+                        {
+                            Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
+
+                            var res = new TaskProcessResult
+                            {
+                                IsSuccess = false,
+                                ErrorMessage = ex.Message,
+                                PromptDetails = theCopy
+                            };
+
+                            return res;
+                        }
+                    }).ToArray();
+
+                    allTasks.AddRange(generatorTasks);
+                    ii++;
+
+                    stats.PrintStats();
+                    var results = await Task.WhenAll(generatorTasks);
+
+                    try
+                    {
+                        var res = await ImageCombiner.CreateBatchLayoutImageHorizontalAsync(results, promptString.Prompt, settings);
+                        Logger.Log($"Combined images saved to: {res}");
+                        ImageCombiner.OpenImageWithDefaultApplication(res);
+                    }
+                    catch (Exception ex)
+                    {
+                        Logger.Log($"Failed to combine images: {ex.Message}");
+                        return false;
+                    }
+                }
+            }
+            return true;
+
+            // Wait for all tasks
+            // while (allTasks.Any(t => !t.IsCompleted))
+            // {
+            //     var completed = allTasks.Count(t => t.IsCompleted);
+            //     var remaining = allTasks.Count - completed;
+            //     Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining...");
+            //     await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
+            // }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/ImageCombiner.cs b/MultiImageClient/Implementation/ImageCombiner.cs
index da3b0b8..4817329 100644
--- a/MultiImageClient/Implementation/ImageCombiner.cs
+++ b/MultiImageClient/Implementation/ImageCombiner.cs
@@ -1,601 +1,601 @@
-#nullable enable
-using IdeogramAPIClient;
-
-using ImageMagick;
-
-using SixLabors.Fonts;
-using SixLabors.ImageSharp;
-using SixLabors.ImageSharp.Drawing.Processing;
-using SixLabors.ImageSharp.PixelFormats;
-using SixLabors.ImageSharp.Processing;
-using System.Text.Json;
-using System.Text.Json.Serialization;
-
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Linq;
-using System.Net.Http;
-using System.Threading.Tasks;
-using System.Diagnostics;
-
-
-
-using static MultiImageClient.ImageSaving;
-using GenerativeAI.Types.RagEngine;
-
-namespace MultiImageClient
-{
-    public static class ImageCombiner
-    {
-        private const int CombinedImageGeneratorFontSize = 24;
-        private const int CombinedImagePromptFontSize = 32;
-        private const int GeneratedImageLabelFontSize = 18;
-        private const float LabelLineHeightMultiplier = 1.5f;
-        private const int PlaceholderWidth = 300;
-        private const int LabelFontSize = 12;
-
-
-        private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcessResult> results)
-        {
-            var loadedImages = new List<LoadedImage>();
-
-            foreach (var result in results.Where(el => el.IsSuccess))
-            {
-                try
-                {
-                    foreach (var imageBytes in result.GetAllImages)
-                    {
-                        if (imageBytes != null && imageBytes.Length > 0)
-                        {
-                            var image = Image.Load<Rgba32>(imageBytes);
-
-                            // Resize if height > 1300px, keeping proportions and max height of 1024px
-                            if (image.Height > 1300)
-                            {
-                                var aspectRatio = (float)image.Width / image.Height;
-                                var newHeight = 1024;
-                                var newWidth = (int)(newHeight * aspectRatio);
-
-                                Logger.Log($"Resizing image from {image.Width}x{image.Height} to {newWidth}x{newHeight} for combining");
-                                image.Mutate(x => x.Resize(newWidth, newHeight));
-                            }
-
-                            loadedImages.Add(new LoadedImage
-                            {
-                                Success = true,
-                                Result = result.IsSuccess ? (result.ImageGeneratorDescription ?? "successX") : ($"{result.ImageGeneratorDescription} - {result.ErrorMessage}" ?? "failedX"),
-                                Image = image,
-                                Width = image.Width,
-                                Height = image.Height
-                            });
-                        }
-                        else
-                        {
-                            // Success but no bytes somehow
-                            Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
-                            loadedImages.Add(GetPlaceholder(result));
-                        }
-                    }
-                }
-                catch (Exception ex)
-                {
-                    // GetImageBytes() might throw if bytes weren't set, or image loading failed
-                    Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
-                    loadedImages.Add(GetPlaceholder(result));
-                }
-            }
-
-            // Failed result - show placeholder with error
-            foreach (var result in results.Where(el => !el.IsSuccess))
-            {
-
-                loadedImages.Add(GetPlaceholder(result));
-            }
-
-            return loadedImages.OrderBy(el => el.Result);
-        }
-
-        private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
-        {
-            int totalWidth = loadedImages.Sum(img => img.Width);
-            totalWidth = Math.Max(totalWidth, PlaceholderWidth);
-
-            int maxImageHeight = loadedImages.Select(i => i.Height)
-                                             .DefaultIfEmpty(PlaceholderWidth)
-                                             .Max();
-
-            int subtitleHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
-            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + (UIConstants.Padding * 2));
-            int totalHeight = maxImageHeight + subtitleBlockHeight;
-
-            var layoutImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
-
-            layoutImage.Mutate(ctx =>
-            {
-                int currentX = 0;
-                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
-
-                foreach (var li in loadedImages)
-                {
-                    if (li.Success && li.Image != null)
-                    {
-                        ctx.DrawImage(li.Image, new Point(currentX, 0), 1f);
-                    }
-                    else
-                    {
-                        var rect = new RectangleF(currentX, 0, li.Width, maxImageHeight);
-                        var errorText = li.Result;
-                        ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
-                    }
-
-                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
-
-                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                    var labelText = li.Result;
-                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
-
-                    currentX += li.Width;
-                }
-            });
-
-            return layoutImage;
-        }
-
-
-
-        // This is a square image where the top images are all the outputs of the original 1 prompt => many render attempts of it.
-        private static Image<Rgba32> RenderSquareLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
-        {
-            int totalImages = loadedImages.Count();
-
-            if (totalImages == 0)
-            {
-                return RenderEmptyLayout();
-            }
-
-            int columns = Math.Max(1, (int)Math.Ceiling(Math.Sqrt(totalImages)));
-            int rows = (int)Math.Ceiling(totalImages / (double)columns);
-
-            var columnWidths = new int[columns];
-            var rowHeights = new int[rows];
-
-            var index = 0;
-            foreach (var li in loadedImages)
-            {
-                int column = index % columns;
-                int row = index / columns;
-
-                columnWidths[column] = Math.Max(columnWidths[column], li.Width);
-                rowHeights[row] = Math.Max(rowHeights[row], li.Height);
-                index++;
-            }
-
-            int layoutWidth = Math.Max(columnWidths.Sum(), PlaceholderWidth);
-
-            var columnOffsets = new int[columns];
-            int xAccumulator = 0;
-            for (int col = 0; col < columns; col++)
-            {
-                columnOffsets[col] = xAccumulator;
-                xAccumulator += columnWidths[col];
-            }
-
-            // every image has its own description section
-            int imageSubdescriptionHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
-            int subdescripitonHeight = Math.Max(UIConstants.Padding * 2, imageSubdescriptionHeight + (UIConstants.Padding * 2));
-            int layoutHeight = rowHeights.Sum() + (subdescripitonHeight * rows);
-
-            var layoutImage = ImageUtils.CreateStandardImage(layoutWidth, layoutHeight, UIConstants.White);
-
-            layoutImage.Mutate(ctx =>
-            {
-                int currentY = 0;
-                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
-                int imageIndex = 0;
-
-                for (int row = 0; row < rows; row++)
-                {
-                    int rowHeight = rowHeights[row];
-                    int labelY = currentY + rowHeight + UIConstants.Padding;
-
-                    for (int col = 0; col < columns; col++)
-                    {
-                        if (imageIndex >= totalImages)
-                        {
-                            break;
-                        }
-
-                        var li = loadedImages.ToList()[imageIndex];
-                        int columnWidth = columnWidths[col];
-                        int columnX = columnOffsets[col];
-
-                        int imageX = columnX + Math.Max(0, (columnWidth - li.Width) / 2);
-                        int imageY = currentY;
-
-                        if (li.Success && li.Image != null)
-                        {
-                            ctx.DrawImage(li.Image, new Point(imageX, imageY), 1f);
-                        }
-                        else
-                        {
-                            var rect = new RectangleF(columnX, imageY, Math.Max(columnWidth, 1), Math.Max(rowHeight, 1));
-                            var errorText = li.Result;
-                            ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
-                        }
-
-                        labelOpts.Origin = new PointF(columnX + Math.Max(columnWidth, 1) / 2f, labelY);
-
-                        var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                        var labelText = li.Result;
-                        ctx.DrawTextStandard(labelOpts, labelText, labelColor);
-
-                        imageIndex++;
-                    }
-
-                    currentY += rowHeight + subdescripitonHeight;
-                }
-            });
-
-            return layoutImage;
-        }
-
-        public static async Task<string> CreateBatchLayoutImageHorizontalAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
-        {
-            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
-            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
-
-            var loadedImages = LoadResultImages(results);
-
-            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
-            var totalWidth = layoutImage.Width;
-
-            using var promptPanel = RenderPromptPanel(totalWidth, prompt, promptFont);
-
-            int totalHeight = layoutImage.Height + promptPanel.Height;
-            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
-
-            combinedImage.Mutate(ctx =>
-            {
-                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
-                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
-            });
-
-
-            var outputPath = await SaveCombinedImageToDisk(combinedImage, prompt, settings);
-
-            foreach (var li in loadedImages)
-            {
-                li.Image?.Dispose();
-            }
-
-            OpenImageWithDefaultApplication(outputPath);
-
-            return outputPath;
-        }
-
-        public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
-        {
-            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
-            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
-
-            var loadedImages = LoadResultImages(results);
-
-            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
-            using var promptPanel = RenderPromptPanel(layoutImage.Width, prompt, promptFont);
-
-            int totalHeight = layoutImage.Height + promptPanel.Height;
-            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
-
-            combinedImage.Mutate(ctx =>
-            {
-                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
-                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
-            });
-
-
-            var outputPath = await SaveCombinedImageToDisk(combinedImage, prompt, settings);
-
-            foreach (var li in loadedImages)
-            {
-                li.Image?.Dispose();
-            }
-
-            OpenImageWithDefaultApplication(outputPath);
-
-            return outputPath;
-        }
-
-
-
-
-
-
-        // this is how werender the "roundtrip workflow". In this case, the user provided an image to us.
-        // we used an LLM to describe it, then we sent that description to a bunch of images.
-        // the output format should be a long horizontal strip. Leftmost should be the image, labelled like "original iamge".
-        // then to the right of that,  how it was described, in descriptionText taking up a big square column (sine this text might be long).
-        // then further to the right, in order, just like we did in RenderHorizontalLayout, should be all the output images ortheir error placeholders.
-        public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, Settings settings)
-        {
-            var labelFont = FontUtils.CreateFont(36, FontStyle.Bold); // Large font for labels
-            var originalImage = Image.Load<Rgba32>(originalImageBytes);
-            if (originalImage == null)
-            {
-                throw new Exception("no original image.");
-            }
-
-            // Resize original image if height > 1024px, keeping proportions
-            if (originalImage.Height > 1024)
-            {
-                var aspectRatio = (float)originalImage.Width / originalImage.Height;
-                var newHeight = 1024;
-                var newWidth = (int)(newHeight * aspectRatio);
-
-                Logger.Log($"Resizing original image from {originalImage.Width}x{originalImage.Height} to {newWidth}x{newHeight} for combining");
-                originalImage.Mutate(x => x.Resize(newWidth, newHeight));
-            }
-
-            var maxImageHeight = originalImage.Height;
-            var descriptionWidth = 600; // Fixed width for description
-            var descriptionHeight = maxImageHeight; // Description takes up the same height as the original image.
-            var loadedImages = LoadResultImages(results).ToList();
-
-            // Measure label heights to account for them in total height
-            var labelHeight = 50; // Approximate height for 36pt font labels
-            
-            // Calculate total width and height
-            var totalWidth = originalImage.Width + descriptionWidth + loadedImages.Sum(li => li.Width);
-            var totalHeight = maxImageHeight + labelHeight + UIConstants.Padding * 2;
-
-            var layoutImage = new Image<Rgba32>(totalWidth, totalHeight);
-
-            layoutImage.Mutate(ctx =>
-            {
-                ctx.ApplyStandardGraphicsOptions();
-                ctx.Fill(UIConstants.White);
-                float currentX = 0;
-
-                // 1. Draw Original Image
-                ctx.DrawImage(originalImage!, new Point((int)currentX, 0), 1f);
-                var labelOptsOriginal = new RichTextOptions(labelFont)
-                {
-                    HorizontalAlignment = HorizontalAlignment.Center,
-                    VerticalAlignment = VerticalAlignment.Top
-                };
-                labelOptsOriginal.Origin = new PointF(currentX + originalImage!.Width / 2f, maxImageHeight + UIConstants.Padding);
-                ctx.DrawTextStandard(labelOptsOriginal, "Original Image", Color.Black);
-                currentX += originalImage.Width;
-
-                // 2. Draw Description Text
-                // Use binary search to find the optimal font size that fills the available space
-                var minFontSize = 8;
-                var maxFontSize = 150; // Start with a large maximum
-                var optimalFontSize = minFontSize;
-                var availableHeight = descriptionHeight - 2 * UIConstants.Padding;
-                var wrappingWidth = descriptionWidth - 2 * UIConstants.Padding;
-                
-                // Binary search for the optimal font size
-                while (minFontSize <= maxFontSize)
-                {
-                    var midFontSize = (minFontSize + maxFontSize) / 2;
-                    var testFont = FontUtils.CreateFont(midFontSize, FontStyle.Regular);
-                    var testHeight = ImageUtils.MeasureTextHeight(descriptionText, testFont, UIConstants.LineSpacing, wrappingWidth);
-                    
-                    if (testHeight <= availableHeight)
-                    {
-                        // Text fits, try a larger size
-                        optimalFontSize = midFontSize;
-                        minFontSize = midFontSize + 1;
-                    }
-                    else
-                    {
-                        // Text doesn't fit, try a smaller size
-                        maxFontSize = midFontSize - 1;
-                    }
-                }
-                
-                // Create the final font and text options with the optimal size
-                var descriptionFont = FontUtils.CreateFont(optimalFontSize, FontStyle.Regular);
-                var descriptionTextOptions = new RichTextOptions(descriptionFont)
-                {
-                    HorizontalAlignment = HorizontalAlignment.Left,
-                    VerticalAlignment = VerticalAlignment.Top,
-                    WrappingLength = wrappingWidth,
-                    Origin = new PointF(currentX + UIConstants.Padding, UIConstants.Padding)
-                };
-
-
-                ctx.Fill(Color.LightGray, new RectangleF(currentX, 0, descriptionWidth, descriptionHeight)); // Background for text
-                ctx.DrawTextStandard(descriptionTextOptions, descriptionText, Color.Black);
-
-                var labelOptsDescription = new RichTextOptions(labelFont)
-                {
-                    HorizontalAlignment = HorizontalAlignment.Center,
-                    VerticalAlignment = VerticalAlignment.Top
-                };
-                labelOptsDescription.Origin = new PointF(currentX + descriptionWidth / 2f, maxImageHeight + UIConstants.Padding);
-                ctx.DrawTextStandard(labelOptsDescription, "Description", Color.Black);
-                currentX += descriptionWidth;
-
-                // 3. Draw Loaded Images with their labels
-                foreach (var li in loadedImages)
-                {
-                    // Calculate vertical offset to align bottom of image with maxImageHeight
-                    var imageYOffset = maxImageHeight - li.Height;
-                    
-                    if (li.Image != null)
-                    {
-                        ctx.DrawImage(li.Image, new Point((int)currentX, imageYOffset), 1);
-                    }
-                    else
-                    {
-                        // Draw placeholder for error images
-                        ctx.Fill(Color.LightGray, new Rectangle((int)currentX, imageYOffset, li.Width, li.Height));
-                        var errorTextOptions = new RichTextOptions(labelFont)
-                        {
-                            HorizontalAlignment = HorizontalAlignment.Center,
-                            VerticalAlignment = VerticalAlignment.Center
-                        };
-                        errorTextOptions.Origin = new PointF(currentX + li.Width / 2f, imageYOffset + li.Height / 2f);
-                        ctx.DrawTextStandard(errorTextOptions, "ERROR", Color.Red);
-                    }
-
-                    var labelOpts = new RichTextOptions(labelFont)
-                    {
-                        HorizontalAlignment = HorizontalAlignment.Center,
-                        VerticalAlignment = VerticalAlignment.Top
-                    };
-                    var labelText = li.Result;
-                    // Calculate the vertical position based on maxImageHeight, padding, and actual label text height.
-                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding); // Start UIConstants.Padding below the image
-
-                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
-
-                    currentX += li.Width;
-                }
-
-
-               
-            });
-            var outputPath = await SaveCombinedImageToDisk(layoutImage, descriptionText, settings);
-
-            foreach (var li in loadedImages)
-            {
-                li.Image?.Dispose();
-            }
-
-            OpenImageWithDefaultApplication(outputPath);
-
-            return outputPath;
-        }
-        private static Image<Rgba32> RenderPromptPanel(int width, string prompt, Font promptFont)
-        {
-            width = Math.Max(width, PlaceholderWidth);
-
-            int wrappingWidth = Math.Max(1, width - (UIConstants.Padding * 4));
-            int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
-            int topPadding = UIConstants.Padding * 3;
-            int bottomPadding = UIConstants.Padding * 2;
-            int totalHeight = topPadding + promptHeight + bottomPadding;
-
-            var promptPanel = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.White);
-
-            promptPanel.Mutate(ctx =>
-            {
-                var promptOpts = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
-                promptOpts.Origin = new PointF(UIConstants.Padding * 2, topPadding);
-                promptOpts.WrappingLength = wrappingWidth;
-
-                ctx.DrawTextStandard(promptOpts, prompt, UIConstants.Black);
-            });
-
-            return promptPanel;
-        }
-
-        
-        public static void OpenImageWithDefaultApplication(string imagePath)
-        {
-            if (File.Exists(imagePath))
-            {
-                try
-                {
-                    Process.Start(new ProcessStartInfo(imagePath) { UseShellExecute = true });
-                }
-                catch (Exception ex)
-                {
-                    Console.WriteLine($"Error opening image {imagePath}: {ex.Message}");
-                }
-            }
-            else
-            {
-                Console.WriteLine($"Image file not found at {imagePath}");
-            }
-        }
-
-        private static int MeasureImageSubdescriptionHeight(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
-        {
-            return loadedImages
-                .Select(li => li.Result ?? "missing")
-                .Select(label => ImageUtils.MeasureTextHeight(label, generatorFont, UIConstants.LineSpacing))
-                .DefaultIfEmpty(0)
-                .Max();
-        }
-
-        
-
-
-        public static LoadedImage GetPlaceholder(TaskProcessResult result)
-        {
-            return new LoadedImage
-            {
-                Image = null,
-                Success = false,
-                Result = result.ErrorMessage ?? "ErrorX",
-                Width = PlaceholderWidth,
-                Height = PlaceholderWidth
-            };
-        }
-
-        private static Image<Rgba32> RenderEmptyLayout()
-        {
-            var empty = ImageUtils.CreateStandardImage(PlaceholderWidth, PlaceholderWidth + (UIConstants.Padding * 2), UIConstants.White);
-
-            empty.Mutate(ctx =>
-            {
-                var font = FontUtils.CreateFont(LabelFontSize, FontStyle.Regular);
-                var opts = FontUtils.CreateTextOptions(font, HorizontalAlignment.Center, VerticalAlignment.Center, UIConstants.LineSpacing);
-                opts.Origin = new PointF(empty.Width / 2f, empty.Height / 2f);
-                ctx.DrawTextStandard(opts, "No images", UIConstants.ErrorRed);
-            });
-
-            return empty;
-        }
-
-
-        private static async Task<string> SaveCombinedImageToDisk(Image<Rgba32> image, string prompt, Settings settings)
-        {
-            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
-            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
-            Directory.CreateDirectory(baseFolder);
-
-            var truncatedPrompt = FilenameGenerator.TruncatePrompt(prompt, 50);
-            var baseFilename = $"combined_{truncatedPrompt}_{DateTime.Now:HHmmss}";
-            var safeFilename = FilenameGenerator.SanitizeFilename(baseFilename);
-            var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
-
-            int counter = 1;
-            while (File.Exists(outputPath))
-            {
-                outputPath = Path.Combine(baseFolder, $"{safeFilename}_{counter}.png");
-                counter++;
-            }
-
-            await image.SaveAsPngAsync(outputPath);
-            Logger.Log($"Combined image saved: {outputPath}");
-
-            return outputPath;
-        }
-
-        public class LoadedImage
-        {
-            public bool Success { get; set; }
-            public string? Result { get; set; }
-            public Image<Rgba32>? Image { get; set; }
-            public int Width { get; set; }
-            public int Height { get; set; }
-        }
-
-        private class ImageDimensions
-        {
-            public int TotalWidth { get; set; }
-            public int MaxImageHeight { get; set; }
-            public int SubtitleHeight { get; set; }
-            public int PromptHeight { get; set; }
-            public int TotalHeight { get; set; }
-        }
-
-
-    }
-}
+#nullable enable
+using IdeogramAPIClient;
+
+using ImageMagick;
+
+using SixLabors.Fonts;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Drawing.Processing;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.ImageSharp.Processing;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+using System.Diagnostics;
+
+
+
+using static MultiImageClient.ImageSaving;
+using GenerativeAI.Types.RagEngine;
+
+namespace MultiImageClient
+{
+    public static class ImageCombiner
+    {
+        private const int CombinedImageGeneratorFontSize = 24;
+        private const int CombinedImagePromptFontSize = 32;
+        private const int GeneratedImageLabelFontSize = 18;
+        private const float LabelLineHeightMultiplier = 1.5f;
+        private const int PlaceholderWidth = 300;
+        private const int LabelFontSize = 12;
+
+
+        private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcessResult> results)
+        {
+            var loadedImages = new List<LoadedImage>();
+
+            foreach (var result in results.Where(el => el.IsSuccess))
+            {
+                try
+                {
+                    foreach (var imageBytes in result.GetAllImages)
+                    {
+                        if (imageBytes != null && imageBytes.Length > 0)
+                        {
+                            var image = Image.Load<Rgba32>(imageBytes);
+
+                            // Resize if height > 1300px, keeping proportions and max height of 1024px
+                            if (image.Height > 1300)
+                            {
+                                var aspectRatio = (float)image.Width / image.Height;
+                                var newHeight = 1024;
+                                var newWidth = (int)(newHeight * aspectRatio);
+
+                                Logger.Log($"Resizing image from {image.Width}x{image.Height} to {newWidth}x{newHeight} for combining");
+                                image.Mutate(x => x.Resize(newWidth, newHeight));
+                            }
+
+                            loadedImages.Add(new LoadedImage
+                            {
+                                Success = true,
+                                Result = result.IsSuccess ? (result.ImageGeneratorDescription ?? "successX") : ($"{result.ImageGeneratorDescription} - {result.ErrorMessage}" ?? "failedX"),
+                                Image = image,
+                                Width = image.Width,
+                                Height = image.Height
+                            });
+                        }
+                        else
+                        {
+                            // Success but no bytes somehow
+                            Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
+                            loadedImages.Add(GetPlaceholder(result));
+                        }
+                    }
+                }
+                catch (Exception ex)
+                {
+                    // GetImageBytes() might throw if bytes weren't set, or image loading failed
+                    Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
+                    loadedImages.Add(GetPlaceholder(result));
+                }
+            }
+
+            // Failed result - show placeholder with error
+            foreach (var result in results.Where(el => !el.IsSuccess))
+            {
+
+                loadedImages.Add(GetPlaceholder(result));
+            }
+
+            return loadedImages.OrderBy(el => el.Result);
+        }
+
+        private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
+        {
+            int totalWidth = loadedImages.Sum(img => img.Width);
+            totalWidth = Math.Max(totalWidth, PlaceholderWidth);
+
+            int maxImageHeight = loadedImages.Select(i => i.Height)
+                                             .DefaultIfEmpty(PlaceholderWidth)
+                                             .Max();
+
+            int subtitleHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
+            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + (UIConstants.Padding * 2));
+            int totalHeight = maxImageHeight + subtitleBlockHeight;
+
+            var layoutImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
+
+            layoutImage.Mutate(ctx =>
+            {
+                int currentX = 0;
+                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
+
+                foreach (var li in loadedImages)
+                {
+                    if (li.Success && li.Image != null)
+                    {
+                        ctx.DrawImage(li.Image, new Point(currentX, 0), 1f);
+                    }
+                    else
+                    {
+                        var rect = new RectangleF(currentX, 0, li.Width, maxImageHeight);
+                        var errorText = li.Result;
+                        ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
+                    }
+
+                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
+
+                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                    var labelText = li.Result;
+                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+
+                    currentX += li.Width;
+                }
+            });
+
+            return layoutImage;
+        }
+
+
+
+        // This is a square image where the top images are all the outputs of the original 1 prompt => many render attempts of it.
+        private static Image<Rgba32> RenderSquareLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
+        {
+            int totalImages = loadedImages.Count();
+
+            if (totalImages == 0)
+            {
+                return RenderEmptyLayout();
+            }
+
+            int columns = Math.Max(1, (int)Math.Ceiling(Math.Sqrt(totalImages)));
+            int rows = (int)Math.Ceiling(totalImages / (double)columns);
+
+            var columnWidths = new int[columns];
+            var rowHeights = new int[rows];
+
+            var index = 0;
+            foreach (var li in loadedImages)
+            {
+                int column = index % columns;
+                int row = index / columns;
+
+                columnWidths[column] = Math.Max(columnWidths[column], li.Width);
+                rowHeights[row] = Math.Max(rowHeights[row], li.Height);
+                index++;
+            }
+
+            int layoutWidth = Math.Max(columnWidths.Sum(), PlaceholderWidth);
+
+            var columnOffsets = new int[columns];
+            int xAccumulator = 0;
+            for (int col = 0; col < columns; col++)
+            {
+                columnOffsets[col] = xAccumulator;
+                xAccumulator += columnWidths[col];
+            }
+
+            // every image has its own description section
+            int imageSubdescriptionHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
+            int subdescripitonHeight = Math.Max(UIConstants.Padding * 2, imageSubdescriptionHeight + (UIConstants.Padding * 2));
+            int layoutHeight = rowHeights.Sum() + (subdescripitonHeight * rows);
+
+            var layoutImage = ImageUtils.CreateStandardImage(layoutWidth, layoutHeight, UIConstants.White);
+
+            layoutImage.Mutate(ctx =>
+            {
+                int currentY = 0;
+                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
+                int imageIndex = 0;
+
+                for (int row = 0; row < rows; row++)
+                {
+                    int rowHeight = rowHeights[row];
+                    int labelY = currentY + rowHeight + UIConstants.Padding;
+
+                    for (int col = 0; col < columns; col++)
+                    {
+                        if (imageIndex >= totalImages)
+                        {
+                            break;
+                        }
+
+                        var li = loadedImages.ToList()[imageIndex];
+                        int columnWidth = columnWidths[col];
+                        int columnX = columnOffsets[col];
+
+                        int imageX = columnX + Math.Max(0, (columnWidth - li.Width) / 2);
+                        int imageY = currentY;
+
+                        if (li.Success && li.Image != null)
+                        {
+                            ctx.DrawImage(li.Image, new Point(imageX, imageY), 1f);
+                        }
+                        else
+                        {
+                            var rect = new RectangleF(columnX, imageY, Math.Max(columnWidth, 1), Math.Max(rowHeight, 1));
+                            var errorText = li.Result;
+                            ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
+                        }
+
+                        labelOpts.Origin = new PointF(columnX + Math.Max(columnWidth, 1) / 2f, labelY);
+
+                        var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                        var labelText = li.Result;
+                        ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+
+                        imageIndex++;
+                    }
+
+                    currentY += rowHeight + subdescripitonHeight;
+                }
+            });
+
+            return layoutImage;
+        }
+
+        public static async Task<string> CreateBatchLayoutImageHorizontalAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
+        {
+            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
+            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
+
+            var loadedImages = LoadResultImages(results);
+
+            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
+            var totalWidth = layoutImage.Width;
+
+            using var promptPanel = RenderPromptPanel(totalWidth, prompt, promptFont);
+
+            int totalHeight = layoutImage.Height + promptPanel.Height;
+            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
+
+            combinedImage.Mutate(ctx =>
+            {
+                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
+                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
+            });
+
+
+            var outputPath = await SaveCombinedImageToDisk(combinedImage, prompt, settings);
+
+            foreach (var li in loadedImages)
+            {
+                li.Image?.Dispose();
+            }
+
+            OpenImageWithDefaultApplication(outputPath);
+
+            return outputPath;
+        }
+
+        public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
+        {
+            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
+            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
+
+            var loadedImages = LoadResultImages(results);
+
+            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
+            using var promptPanel = RenderPromptPanel(layoutImage.Width, prompt, promptFont);
+
+            int totalHeight = layoutImage.Height + promptPanel.Height;
+            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
+
+            combinedImage.Mutate(ctx =>
+            {
+                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
+                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
+            });
+
+
+            var outputPath = await SaveCombinedImageToDisk(combinedImage, prompt, settings);
+
+            foreach (var li in loadedImages)
+            {
+                li.Image?.Dispose();
+            }
+
+            OpenImageWithDefaultApplication(outputPath);
+
+            return outputPath;
+        }
+
+
+
+
+
+
+        // this is how werender the "roundtrip workflow". In this case, the user provided an image to us.
+        // we used an LLM to describe it, then we sent that description to a bunch of images.
+        // the output format should be a long horizontal strip. Leftmost should be the image, labelled like "original iamge".
+        // then to the right of that,  how it was described, in descriptionText taking up a big square column (sine this text might be long).
+        // then further to the right, in order, just like we did in RenderHorizontalLayout, should be all the output images ortheir error placeholders.
+        public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, Settings settings)
+        {
+            var labelFont = FontUtils.CreateFont(36, FontStyle.Bold); // Large font for labels
+            var originalImage = Image.Load<Rgba32>(originalImageBytes);
+            if (originalImage == null)
+            {
+                throw new Exception("no original image.");
+            }
+
+            // Resize original image if height > 1024px, keeping proportions
+            if (originalImage.Height > 1024)
+            {
+                var aspectRatio = (float)originalImage.Width / originalImage.Height;
+                var newHeight = 1024;
+                var newWidth = (int)(newHeight * aspectRatio);
+
+                Logger.Log($"Resizing original image from {originalImage.Width}x{originalImage.Height} to {newWidth}x{newHeight} for combining");
+                originalImage.Mutate(x => x.Resize(newWidth, newHeight));
+            }
+
+            var maxImageHeight = originalImage.Height;
+            var descriptionWidth = 600; // Fixed width for description
+            var descriptionHeight = maxImageHeight; // Description takes up the same height as the original image.
+            var loadedImages = LoadResultImages(results).ToList();
+
+            // Measure label heights to account for them in total height
+            var labelHeight = 50; // Approximate height for 36pt font labels
+            
+            // Calculate total width and height
+            var totalWidth = originalImage.Width + descriptionWidth + loadedImages.Sum(li => li.Width);
+            var totalHeight = maxImageHeight + labelHeight + UIConstants.Padding * 2;
+
+            var layoutImage = new Image<Rgba32>(totalWidth, totalHeight);
+
+            layoutImage.Mutate(ctx =>
+            {
+                ctx.ApplyStandardGraphicsOptions();
+                ctx.Fill(UIConstants.White);
+                float currentX = 0;
+
+                // 1. Draw Original Image
+                ctx.DrawImage(originalImage!, new Point((int)currentX, 0), 1f);
+                var labelOptsOriginal = new RichTextOptions(labelFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Center,
+                    VerticalAlignment = VerticalAlignment.Top
+                };
+                labelOptsOriginal.Origin = new PointF(currentX + originalImage!.Width / 2f, maxImageHeight + UIConstants.Padding);
+                ctx.DrawTextStandard(labelOptsOriginal, "Original Image", Color.Black);
+                currentX += originalImage.Width;
+
+                // 2. Draw Description Text
+                // Use binary search to find the optimal font size that fills the available space
+                var minFontSize = 8;
+                var maxFontSize = 150; // Start with a large maximum
+                var optimalFontSize = minFontSize;
+                var availableHeight = descriptionHeight - 2 * UIConstants.Padding;
+                var wrappingWidth = descriptionWidth - 2 * UIConstants.Padding;
+                
+                // Binary search for the optimal font size
+                while (minFontSize <= maxFontSize)
+                {
+                    var midFontSize = (minFontSize + maxFontSize) / 2;
+                    var testFont = FontUtils.CreateFont(midFontSize, FontStyle.Regular);
+                    var testHeight = ImageUtils.MeasureTextHeight(descriptionText, testFont, UIConstants.LineSpacing, wrappingWidth);
+                    
+                    if (testHeight <= availableHeight)
+                    {
+                        // Text fits, try a larger size
+                        optimalFontSize = midFontSize;
+                        minFontSize = midFontSize + 1;
+                    }
+                    else
+                    {
+                        // Text doesn't fit, try a smaller size
+                        maxFontSize = midFontSize - 1;
+                    }
+                }
+                
+                // Create the final font and text options with the optimal size
+                var descriptionFont = FontUtils.CreateFont(optimalFontSize, FontStyle.Regular);
+                var descriptionTextOptions = new RichTextOptions(descriptionFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Left,
+                    VerticalAlignment = VerticalAlignment.Top,
+                    WrappingLength = wrappingWidth,
+                    Origin = new PointF(currentX + UIConstants.Padding, UIConstants.Padding)
+                };
+
+
+                ctx.Fill(Color.LightGray, new RectangleF(currentX, 0, descriptionWidth, descriptionHeight)); // Background for text
+                ctx.DrawTextStandard(descriptionTextOptions, descriptionText, Color.Black);
+
+                var labelOptsDescription = new RichTextOptions(labelFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Center,
+                    VerticalAlignment = VerticalAlignment.Top
+                };
+                labelOptsDescription.Origin = new PointF(currentX + descriptionWidth / 2f, maxImageHeight + UIConstants.Padding);
+                ctx.DrawTextStandard(labelOptsDescription, "Description", Color.Black);
+                currentX += descriptionWidth;
+
+                // 3. Draw Loaded Images with their labels
+                foreach (var li in loadedImages)
+                {
+                    // Calculate vertical offset to align bottom of image with maxImageHeight
+                    var imageYOffset = maxImageHeight - li.Height;
+                    
+                    if (li.Image != null)
+                    {
+                        ctx.DrawImage(li.Image, new Point((int)currentX, imageYOffset), 1);
+                    }
+                    else
+                    {
+                        // Draw placeholder for error images
+                        ctx.Fill(Color.LightGray, new Rectangle((int)currentX, imageYOffset, li.Width, li.Height));
+                        var errorTextOptions = new RichTextOptions(labelFont)
+                        {
+                            HorizontalAlignment = HorizontalAlignment.Center,
+                            VerticalAlignment = VerticalAlignment.Center
+                        };
+                        errorTextOptions.Origin = new PointF(currentX + li.Width / 2f, imageYOffset + li.Height / 2f);
+                        ctx.DrawTextStandard(errorTextOptions, "ERROR", Color.Red);
+                    }
+
+                    var labelOpts = new RichTextOptions(labelFont)
+                    {
+                        HorizontalAlignment = HorizontalAlignment.Center,
+                        VerticalAlignment = VerticalAlignment.Top
+                    };
+                    var labelText = li.Result;
+                    // Calculate the vertical position based on maxImageHeight, padding, and actual label text height.
+                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding); // Start UIConstants.Padding below the image
+
+                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+
+                    currentX += li.Width;
+                }
+
+
+               
+            });
+            var outputPath = await SaveCombinedImageToDisk(layoutImage, descriptionText, settings);
+
+            foreach (var li in loadedImages)
+            {
+                li.Image?.Dispose();
+            }
+
+            OpenImageWithDefaultApplication(outputPath);
+
+            return outputPath;
+        }
+        private static Image<Rgba32> RenderPromptPanel(int width, string prompt, Font promptFont)
+        {
+            width = Math.Max(width, PlaceholderWidth);
+
+            int wrappingWidth = Math.Max(1, width - (UIConstants.Padding * 4));
+            int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
+            int topPadding = UIConstants.Padding * 3;
+            int bottomPadding = UIConstants.Padding * 2;
+            int totalHeight = topPadding + promptHeight + bottomPadding;
+
+            var promptPanel = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.White);
+
+            promptPanel.Mutate(ctx =>
+            {
+                var promptOpts = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
+                promptOpts.Origin = new PointF(UIConstants.Padding * 2, topPadding);
+                promptOpts.WrappingLength = wrappingWidth;
+
+                ctx.DrawTextStandard(promptOpts, prompt, UIConstants.Black);
+            });
+
+            return promptPanel;
+        }
+
+        
+        public static void OpenImageWithDefaultApplication(string imagePath)
+        {
+            if (File.Exists(imagePath))
+            {
+                try
+                {
+                    Process.Start(new ProcessStartInfo(imagePath) { UseShellExecute = true });
+                }
+                catch (Exception ex)
+                {
+                    Console.WriteLine($"Error opening image {imagePath}: {ex.Message}");
+                }
+            }
+            else
+            {
+                Console.WriteLine($"Image file not found at {imagePath}");
+            }
+        }
+
+        private static int MeasureImageSubdescriptionHeight(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
+        {
+            return loadedImages
+                .Select(li => li.Result ?? "missing")
+                .Select(label => ImageUtils.MeasureTextHeight(label, generatorFont, UIConstants.LineSpacing))
+                .DefaultIfEmpty(0)
+                .Max();
+        }
+
+        
+
+
+        public static LoadedImage GetPlaceholder(TaskProcessResult result)
+        {
+            return new LoadedImage
+            {
+                Image = null,
+                Success = false,
+                Result = result.ErrorMessage ?? "ErrorX",
+                Width = PlaceholderWidth,
+                Height = PlaceholderWidth
+            };
+        }
+
+        private static Image<Rgba32> RenderEmptyLayout()
+        {
+            var empty = ImageUtils.CreateStandardImage(PlaceholderWidth, PlaceholderWidth + (UIConstants.Padding * 2), UIConstants.White);
+
+            empty.Mutate(ctx =>
+            {
+                var font = FontUtils.CreateFont(LabelFontSize, FontStyle.Regular);
+                var opts = FontUtils.CreateTextOptions(font, HorizontalAlignment.Center, VerticalAlignment.Center, UIConstants.LineSpacing);
+                opts.Origin = new PointF(empty.Width / 2f, empty.Height / 2f);
+                ctx.DrawTextStandard(opts, "No images", UIConstants.ErrorRed);
+            });
+
+            return empty;
+        }
+
+
+        private static async Task<string> SaveCombinedImageToDisk(Image<Rgba32> image, string prompt, Settings settings)
+        {
+            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
+            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
+            Directory.CreateDirectory(baseFolder);
+
+            var truncatedPrompt = FilenameGenerator.TruncatePrompt(prompt, 50);
+            var baseFilename = $"combined_{truncatedPrompt}_{DateTime.Now:HHmmss}";
+            var safeFilename = FilenameGenerator.SanitizeFilename(baseFilename);
+            var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
+
+            int counter = 1;
+            while (File.Exists(outputPath))
+            {
+                outputPath = Path.Combine(baseFolder, $"{safeFilename}_{counter}.png");
+                counter++;
+            }
+
+            await image.SaveAsPngAsync(outputPath);
+            Logger.Log($"Combined image saved: {outputPath}");
+
+            return outputPath;
+        }
+
+        public class LoadedImage
+        {
+            public bool Success { get; set; }
+            public string? Result { get; set; }
+            public Image<Rgba32>? Image { get; set; }
+            public int Width { get; set; }
+            public int Height { get; set; }
+        }
+
+        private class ImageDimensions
+        {
+            public int TotalWidth { get; set; }
+            public int MaxImageHeight { get; set; }
+            public int SubtitleHeight { get; set; }
+            public int PromptHeight { get; set; }
+            public int TotalHeight { get; set; }
+        }
+
+
+    }
+}
diff --git a/MultiImageClient/Implementation/RountripWorkflow.cs b/MultiImageClient/Implementation/RountripWorkflow.cs
index 2221dfc..1b76b0b 100644
--- a/MultiImageClient/Implementation/RountripWorkflow.cs
+++ b/MultiImageClient/Implementation/RountripWorkflow.cs
@@ -1,268 +1,268 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.IO;
-using System.Net.Http;
-using System.Text.Json;
-using System.Text.Json.Serialization;
-using System.Drawing;
-using System.Drawing.Imaging;
-using System.Threading;
-using System.Windows.Forms;
-using System.Security.Cryptography;
-
-namespace MultiImageClient
-{
-    /// Reads the clipboard and returns a text string if the item in the clipboard is a png image. if it isn't, it returns '' if it is, it returns a descriptive text string with the image size etc.
-    public class RoundTripWorkflow
-    {
-        private MultiClientRunStats? _stats;
-        private Settings? _settings;
-        private int _concurrency;
-        private ImageManager? _imageManager;
-        private IEnumerable<IImageGenerator>? _generators;
-        private static readonly HttpClient httpClient = new HttpClient();
-
-
-        private static byte[] ComputeFingerprint(byte[] data)
-        {
-            return SHA256.HashData(data);
-        }
-
-        private static byte[]? GetImageFromClipboard()
-        {
-            byte[]? clipboardBytes = null;
-
-            var thread = new Thread(() =>
-            {
-                try
-                {
-                    if (!Clipboard.ContainsImage())
-                    {
-                        return;
-                    }
-
-                    using var image = Clipboard.GetImage();
-                    if (image == null)
-                    {
-
-                        return;
-                    }
-
-                    using var ms = new MemoryStream();
-                    image.Save(ms, ImageFormat.Png);
-                    clipboardBytes = ms.ToArray();
-                }
-                catch (Exception ex)
-                {
-                    Logger.Log($"Failed to read image from clipboard: {ex.Message}");
-                }
-            });
-
-            thread.SetApartmentState(ApartmentState.STA);
-            thread.Start();
-            thread.Join();
-
-            return clipboardBytes;
-        }
-
-
-        private async Task DoWorkAsync(byte[] imageBytes)
-        {
-
-            var promptString = new PromptDetails();
-            var usingDesc = "\"You are an image describer. Produce a complete, literal description of the image and then careful inferences.  Note: for every human appearing in the image, you must include their sex, age, and state of dress as well as exactly what they're wearing. Say what the image is like and its medium (photo, digital art, painting, etc.). State file/format details if available. Describe colors, lighting, textures for everything. Give composition and exact positioning/layout of all objects including their orientation, which direction they're facing, relative and absolute sizing, rotation state. If any text appears, transcribe it fully and describe typography: font family guess, weight, style, effects, color, spacing, alignment. Provide enough detail to fully reproduce the image from scratch. For any beings/humans, do NOT skimp: include estimated sex, race, ethnicity, emotional state, attitude, viewpoint, sex, gender,  attractiveness estimate, defects and/or good features, stylistic ethnicity cues, style group culturally, job/role if suggested or deriveable, mood/attitude/emotions toward self, the scene, objects within it or the viewer/artist, their current actions in detail, appearance (hair color/style/length), facing direction and position, estimated relationship to others, goals/intentions and brief history/backstory hypotheses. Speculate wildly. Also include detailed description of their clothing, body, skin, form, shape, muscles, curves, features, emotion and artistically as well as very specifically and in detail, for every piece of clothing they have on, or not. generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals etc. Do NOT skimp on this part. Output dense details, not necessarily in sentence form, no newlines, usefully densely descriptive and specific, non-repetitive. don't waste time with preludes or summaries or warnings/guides to interpret. Put the overall description at the start, giving the overall description of the scene, then fill in more and more with specific details as you go. include both practical facts about the image as well as overall judgements and descriptions. The output should be long, detailed, precise, and omit nothing. You will be judged by how accurately you estimate and describe EVERYTHING as well as you can. ";
-            var qwenDescription = await DescribeImageWithLocalQwen(imageBytes, usingDesc);
-            if (string.IsNullOrEmpty(qwenDescription.Trim()))
-            {
-                return;
-            }
-            var pd = new PromptDetails();
-            pd.ReplacePrompt(qwenDescription, "qwen", TransformationType.InitialPrompt);
-            var generatorTasks = _generators!.Select(async generator =>
-            {
-                var theCopy = pd.Copy();
-
-                try
-                {
-                    var result = await generator.ProcessPromptAsync(generator, theCopy);
-                    await _imageManager!.ProcessAndSaveAsync(result, generator);
-                    Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
-
-                    return result;
-                }
-                catch (Exception ex)
-                {
-                    Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
-
-                    var res = new TaskProcessResult
-                    {
-                        IsSuccess = false,
-                        ErrorMessage = ex.Message,
-                        PromptDetails = theCopy
-                    };
-
-                    return res;
-                }
-            }).ToArray();
-
-            _stats!.PrintStats();
-            var results = await Task.WhenAll(generatorTasks);
-
-            try
-            {
-                var res = await ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, qwenDescription, _settings);
-                // we want to use RenderImageDescribeRendersHorizontally here!
-                Logger.Log($"Combined images saved to: {res}");
-                ImageCombiner.OpenImageWithDefaultApplication(res);
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Failed to combine images: {ex.Message}");
-            }
-        }
-
-        //  prompt the user to copy an image to the clipboard.
-        //  then send that to local model qwen with description text.
-        //  then send that out to all the image generators again.
-        public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClientRunStats stats)
-        {
-            _settings = settings;
-            _concurrency = concurrency;
-            _stats = stats;
-            var getter = new GeneratorGroups(settings, concurrency, stats);
-            _generators = getter.GetAll();
-
-            _imageManager = new ImageManager(settings, stats);
-            while (true)
-            {
-                var heldNow = GetImageFromClipboard();
-                if (heldNow == null)
-                {
-                    Console.WriteLine("\tcopy an image to the clipboard; y to continue, q to quit.");
-                    var input = Console.ReadLine().Trim();
-
-                    if (input == "y")
-                    {
-                        continue;
-                    }
-                    else if (input == "q")
-                    {
-                        break;
-                    }
-                    else
-                    {
-                        Console.WriteLine("ok, skipping.");
-                    }
-                }
-                else
-                {
-                    Console.WriteLine($"\tnew clipboard image detected. {heldNow.Length} bytes. Starting describe => multiimage workflow.");
-                    await DoWorkAsync(heldNow);
-                }
-            }
-            return true;
-        }
-
-        public static async Task<string> DescribeImageWithLocalQwen(byte[] imageBytes, string prompt)
-        {
-            try
-            {
-                string base64Image = Convert.ToBase64String(imageBytes);
-
-                var requestBody = new OllamaChatRequest
-                {
-                    Model = "qwen2.5vl:7b",
-                    Stream = false,
-                    KeepAlive = "1h",
-                    Messages = new List<OllamaMessage>
-                    {
-                        new OllamaMessage
-                        {
-                            Role = "user",
-                            Content = prompt,
-                            Images = new List<string> { base64Image }
-                        }
-                    }
-                };
-
-                var jsonOptions = new JsonSerializerOptions
-                {
-                    PropertyNamingPolicy = JsonNamingPolicy.CamelCase,
-                    DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull
-                };
-
-                string jsonBody = JsonSerializer.Serialize(requestBody, jsonOptions);
-                var content = new StringContent(jsonBody, System.Text.Encoding.UTF8, "application/json");
-
-                var response = await httpClient.PostAsync("http://127.0.0.1:11434/api/chat", content);
-                response.EnsureSuccessStatusCode();
-
-                var responseString = await response.Content.ReadAsStringAsync();
-                var ollamaResponse = JsonSerializer.Deserialize<DescribeImageResponse>(responseString, jsonOptions);
-
-                return ollamaResponse?.Message?.Content ?? string.Empty;
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Error describing image with Ollama: {ex.Message}\r\n{ex}");
-                return string.Empty;
-            }
-        }
-
-        private class OllamaChatRequest
-        {
-            [JsonPropertyName("model")]
-            public required string Model { get; set; }
-
-            [JsonPropertyName("stream")]
-            public required bool Stream { get; set; }
-
-            [JsonPropertyName("keep_alive")]
-            public required string KeepAlive { get; set; }
-
-            [JsonPropertyName("messages")]
-            public required List<OllamaMessage> Messages { get; set; } = new();
-        }
-
-        private class OllamaMessage
-        {
-            [JsonPropertyName("role")]
-            public required string Role { get; set; }
-
-            [JsonPropertyName("content")]
-            public required string Content { get; set; }
-
-            [JsonPropertyName("images")]
-            public required List<string> Images { get; set; } = new();
-        }
-
-        private class DescribeImageResponse
-        {
-            [JsonPropertyName("model")]
-            public required string Model { get; set; }
-
-            [JsonPropertyName("created_at")]
-            public required DateTime CreatedAt { get; set; }
-
-            [JsonPropertyName("message")]
-            public required OllamaResponseMessage Message { get; set; } = new() { Role = string.Empty, Content = string.Empty };
-
-            [JsonPropertyName("done")]
-            public required bool Done { get; set; }
-        }
-
-        private class OllamaResponseMessage
-        {
-            [JsonPropertyName("role")]
-            public required string Role { get; set; }
-
-            [JsonPropertyName("content")]
-            public required string Content { get; set; } = string.Empty;
-        }
-
-
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.IO;
+using System.Net.Http;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+using System.Drawing;
+using System.Drawing.Imaging;
+using System.Threading;
+using System.Windows.Forms;
+using System.Security.Cryptography;
+
+namespace MultiImageClient
+{
+    /// Reads the clipboard and returns a text string if the item in the clipboard is a png image. if it isn't, it returns '' if it is, it returns a descriptive text string with the image size etc.
+    public class RoundTripWorkflow
+    {
+        private MultiClientRunStats? _stats;
+        private Settings? _settings;
+        private int _concurrency;
+        private ImageManager? _imageManager;
+        private IEnumerable<IImageGenerator>? _generators;
+        private static readonly HttpClient httpClient = new HttpClient();
+
+
+        private static byte[] ComputeFingerprint(byte[] data)
+        {
+            return SHA256.HashData(data);
+        }
+
+        private static byte[]? GetImageFromClipboard()
+        {
+            byte[]? clipboardBytes = null;
+
+            var thread = new Thread(() =>
+            {
+                try
+                {
+                    if (!Clipboard.ContainsImage())
+                    {
+                        return;
+                    }
+
+                    using var image = Clipboard.GetImage();
+                    if (image == null)
+                    {
+
+                        return;
+                    }
+
+                    using var ms = new MemoryStream();
+                    image.Save(ms, ImageFormat.Png);
+                    clipboardBytes = ms.ToArray();
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Failed to read image from clipboard: {ex.Message}");
+                }
+            });
+
+            thread.SetApartmentState(ApartmentState.STA);
+            thread.Start();
+            thread.Join();
+
+            return clipboardBytes;
+        }
+
+
+        private async Task DoWorkAsync(byte[] imageBytes)
+        {
+
+            var promptString = new PromptDetails();
+            var usingDesc = "\"You are an image describer. Produce a complete, literal description of the image and then careful inferences.  Note: for every human appearing in the image, you must include their sex, age, and state of dress as well as exactly what they're wearing. Say what the image is like and its medium (photo, digital art, painting, etc.). State file/format details if available. Describe colors, lighting, textures for everything. Give composition and exact positioning/layout of all objects including their orientation, which direction they're facing, relative and absolute sizing, rotation state. If any text appears, transcribe it fully and describe typography: font family guess, weight, style, effects, color, spacing, alignment. Provide enough detail to fully reproduce the image from scratch. For any beings/humans, do NOT skimp: include estimated sex, race, ethnicity, emotional state, attitude, viewpoint, sex, gender,  attractiveness estimate, defects and/or good features, stylistic ethnicity cues, style group culturally, job/role if suggested or deriveable, mood/attitude/emotions toward self, the scene, objects within it or the viewer/artist, their current actions in detail, appearance (hair color/style/length), facing direction and position, estimated relationship to others, goals/intentions and brief history/backstory hypotheses. Speculate wildly. Also include detailed description of their clothing, body, skin, form, shape, muscles, curves, features, emotion and artistically as well as very specifically and in detail, for every piece of clothing they have on, or not. generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals etc. Do NOT skimp on this part. Output dense details, not necessarily in sentence form, no newlines, usefully densely descriptive and specific, non-repetitive. don't waste time with preludes or summaries or warnings/guides to interpret. Put the overall description at the start, giving the overall description of the scene, then fill in more and more with specific details as you go. include both practical facts about the image as well as overall judgements and descriptions. The output should be long, detailed, precise, and omit nothing. You will be judged by how accurately you estimate and describe EVERYTHING as well as you can. ";
+            var qwenDescription = await DescribeImageWithLocalQwen(imageBytes, usingDesc);
+            if (string.IsNullOrEmpty(qwenDescription.Trim()))
+            {
+                return;
+            }
+            var pd = new PromptDetails();
+            pd.ReplacePrompt(qwenDescription, "qwen", TransformationType.InitialPrompt);
+            var generatorTasks = _generators!.Select(async generator =>
+            {
+                var theCopy = pd.Copy();
+
+                try
+                {
+                    var result = await generator.ProcessPromptAsync(generator, theCopy);
+                    await _imageManager!.ProcessAndSaveAsync(result, generator);
+                    Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
+
+                    return result;
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
+
+                    var res = new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = ex.Message,
+                        PromptDetails = theCopy
+                    };
+
+                    return res;
+                }
+            }).ToArray();
+
+            _stats!.PrintStats();
+            var results = await Task.WhenAll(generatorTasks);
+
+            try
+            {
+                var res = await ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, qwenDescription, _settings);
+                // we want to use RenderImageDescribeRendersHorizontally here!
+                Logger.Log($"Combined images saved to: {res}");
+                ImageCombiner.OpenImageWithDefaultApplication(res);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Failed to combine images: {ex.Message}");
+            }
+        }
+
+        //  prompt the user to copy an image to the clipboard.
+        //  then send that to local model qwen with description text.
+        //  then send that out to all the image generators again.
+        public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClientRunStats stats)
+        {
+            _settings = settings;
+            _concurrency = concurrency;
+            _stats = stats;
+            var getter = new GeneratorGroups(settings, concurrency, stats);
+            _generators = getter.GetAll();
+
+            _imageManager = new ImageManager(settings, stats);
+            while (true)
+            {
+                var heldNow = GetImageFromClipboard();
+                if (heldNow == null)
+                {
+                    Console.WriteLine("\tcopy an image to the clipboard; y to continue, q to quit.");
+                    var input = Console.ReadLine().Trim();
+
+                    if (input == "y")
+                    {
+                        continue;
+                    }
+                    else if (input == "q")
+                    {
+                        break;
+                    }
+                    else
+                    {
+                        Console.WriteLine("ok, skipping.");
+                    }
+                }
+                else
+                {
+                    Console.WriteLine($"\tnew clipboard image detected. {heldNow.Length} bytes. Starting describe => multiimage workflow.");
+                    await DoWorkAsync(heldNow);
+                }
+            }
+            return true;
+        }
+
+        public static async Task<string> DescribeImageWithLocalQwen(byte[] imageBytes, string prompt)
+        {
+            try
+            {
+                string base64Image = Convert.ToBase64String(imageBytes);
+
+                var requestBody = new OllamaChatRequest
+                {
+                    Model = "qwen2.5vl:7b",
+                    Stream = false,
+                    KeepAlive = "1h",
+                    Messages = new List<OllamaMessage>
+                    {
+                        new OllamaMessage
+                        {
+                            Role = "user",
+                            Content = prompt,
+                            Images = new List<string> { base64Image }
+                        }
+                    }
+                };
+
+                var jsonOptions = new JsonSerializerOptions
+                {
+                    PropertyNamingPolicy = JsonNamingPolicy.CamelCase,
+                    DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull
+                };
+
+                string jsonBody = JsonSerializer.Serialize(requestBody, jsonOptions);
+                var content = new StringContent(jsonBody, System.Text.Encoding.UTF8, "application/json");
+
+                var response = await httpClient.PostAsync("http://127.0.0.1:11434/api/chat", content);
+                response.EnsureSuccessStatusCode();
+
+                var responseString = await response.Content.ReadAsStringAsync();
+                var ollamaResponse = JsonSerializer.Deserialize<DescribeImageResponse>(responseString, jsonOptions);
+
+                return ollamaResponse?.Message?.Content ?? string.Empty;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Error describing image with Ollama: {ex.Message}\r\n{ex}");
+                return string.Empty;
+            }
+        }
+
+        private class OllamaChatRequest
+        {
+            [JsonPropertyName("model")]
+            public required string Model { get; set; }
+
+            [JsonPropertyName("stream")]
+            public required bool Stream { get; set; }
+
+            [JsonPropertyName("keep_alive")]
+            public required string KeepAlive { get; set; }
+
+            [JsonPropertyName("messages")]
+            public required List<OllamaMessage> Messages { get; set; } = new();
+        }
+
+        private class OllamaMessage
+        {
+            [JsonPropertyName("role")]
+            public required string Role { get; set; }
+
+            [JsonPropertyName("content")]
+            public required string Content { get; set; }
+
+            [JsonPropertyName("images")]
+            public required List<string> Images { get; set; } = new();
+        }
+
+        private class DescribeImageResponse
+        {
+            [JsonPropertyName("model")]
+            public required string Model { get; set; }
+
+            [JsonPropertyName("created_at")]
+            public required DateTime CreatedAt { get; set; }
+
+            [JsonPropertyName("message")]
+            public required OllamaResponseMessage Message { get; set; } = new() { Role = string.Empty, Content = string.Empty };
+
+            [JsonPropertyName("done")]
+            public required bool Done { get; set; }
+        }
+
+        private class OllamaResponseMessage
+        {
+            [JsonPropertyName("role")]
+            public required string Role { get; set; }
+
+            [JsonPropertyName("content")]
+            public required string Content { get; set; } = string.Empty;
+        }
+
+
+    }
+}
diff --git a/MultiImageClient/Services/IdeogramV3Generator.cs b/MultiImageClient/Services/IdeogramV3Generator.cs
index abd011f..7a083be 100644
--- a/MultiImageClient/Services/IdeogramV3Generator.cs
+++ b/MultiImageClient/Services/IdeogramV3Generator.cs
@@ -1,188 +1,188 @@
-using MultiImageClient;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramV3Generator : IImageGenerator
-    {
-        private readonly SemaphoreSlim _semaphore;
-        private readonly IdeogramClient _client;
-        private readonly MultiClientRunStats _stats;
-        private readonly IdeogramV3StyleType _styleType;
-        private readonly IdeogramMagicPromptOption? _magicPromptOption;
-        private readonly string _aspectRatio;
-        private readonly IdeogramRenderingSpeed _renderingSpeed;
-        private readonly string _negativePrompt;
-        private readonly string _name;
-        
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.IdeogramV3;
-
-        public IdeogramV3Generator(
-            string apiKey,
-            int maxConcurrency,
-            IdeogramV3StyleType styleType,
-            IdeogramMagicPromptOption? magicPromptOption,
-            IdeogramAspectRatio aspectRatio,
-            IdeogramRenderingSpeed renderingSpeed,
-            string negativePrompt,
-            MultiClientRunStats stats,
-            string name)
-        {
-            _client = new IdeogramClient(apiKey);
-            _semaphore = new SemaphoreSlim(maxConcurrency);
-            _stats = stats;
-            _styleType = styleType;
-            _magicPromptOption = magicPromptOption;
-            var convertedAspectRatio = aspectRatio.ToString().Replace("ASPECT_", "").Replace("_", "x");
-            _aspectRatio = convertedAspectRatio;
-            _renderingSpeed = renderingSpeed;
-            _negativePrompt = negativePrompt ?? string.Empty;
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-        }
-
-        
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var parts = new List<string> { ApiType.ToString() };
-            if (!string.IsNullOrEmpty(_name))
-            {
-                parts.Add(_name);
-            }
-
-            parts.Add(_styleType.ToString());
-            parts.Add(_aspectRatio.ToString().Replace(":", "x"));
-            parts.Add(_renderingSpeed.ToString());
-            return string.Join("_", parts.Where(p => !string.IsNullOrEmpty(p)));
-        }
-
-        public List<string> GetRightParts()
-        {
-            var contents = new List<string> { "ideogram v3" };
-            if (!string.IsNullOrEmpty(_name))
-            {
-                contents.Add(_name);
-            }
-
-            contents.Add(_styleType.ToString());
-            contents.Add(_aspectRatio.ToString().Replace(":", "x"));
-            contents.Add(_renderingSpeed.ToString());
-
-            return contents;
-        }
-
-        public string GetGeneratorSpecPart()
-        {
-            if (!string.IsNullOrEmpty(_name))
-            {
-                return _name;
-            }
-            return "ideogram-v3";
-        }
-
-        public decimal GetCost()
-        {
-            // Pricing is not yet documented; leave a placeholder number until official rates available.
-            return 0.08m;
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _semaphore.WaitAsync();
-            try
-            {
-                _stats.IdeogramV3RequestCount++;
-
-                var request = new IdeogramV3GenerateRequest(promptDetails.Prompt)
-                {
-                    AspectRatio = _aspectRatio,
-                    RenderingSpeed = _renderingSpeed,
-                    StyleType = _styleType,
-                    MagicPrompt = _magicPromptOption,
-                    NegativePrompt = string.IsNullOrWhiteSpace(_negativePrompt) ? null : _negativePrompt
-                };
-
-                var response = await _client.GenerateImageV3Async(request);
-
-                if (response?.Data == null || response.Data.Count == 0)
-                {
-                    return new TaskProcessResult
-                    {
-                        IsSuccess = false,
-                        ErrorMessage = "No images generated",
-                        PromptDetails = promptDetails,
-                        ImageGenerator = ImageGeneratorApiType.IdeogramV3,
-                        GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated,
-                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                    };
-                }
-
-                if (response.Data.Count > 1)
-                {
-                    return new TaskProcessResult
-                    {
-                        IsSuccess = false,
-                        ErrorMessage = "Multiple images returned and the client is not configured for batches",
-                        PromptDetails = promptDetails,
-                        ImageGenerator = ImageGeneratorApiType.IdeogramV3,
-                        GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
-                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                    };
-                }
-
-                var imageObject = response.Data[0];
-                if (!string.IsNullOrWhiteSpace(imageObject.Prompt) &&
-                    !string.Equals(imageObject.Prompt, promptDetails.Prompt, StringComparison.OrdinalIgnoreCase))
-                {
-                    promptDetails.ReplacePrompt(imageObject.Prompt, imageObject.Prompt, TransformationType.IdeogramRewrite);
-                }
-
-                return new TaskProcessResult
-                {
-                    IsSuccess = true,
-                    Url = imageObject.Url,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                };
-            }
-            catch (HttpRequestException ex)
-            {
-                _stats.IdeogramV3RefusedCount++;
-                return new TaskProcessResult
-                {
-                    IsSuccess = false,
-                    ErrorMessage = ex.Message,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
-                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                };
-            }
-            catch (Exception ex)
-            {
-                return new TaskProcessResult
-                {
-                    IsSuccess = false,
-                    ErrorMessage = ex.Message,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
-                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                };
-            }
-            finally
-            {
-                _semaphore.Release();
-            }
-        }
-    }
-}
-
+using MultiImageClient;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramV3Generator : IImageGenerator
+    {
+        private readonly SemaphoreSlim _semaphore;
+        private readonly IdeogramClient _client;
+        private readonly MultiClientRunStats _stats;
+        private readonly IdeogramV3StyleType _styleType;
+        private readonly IdeogramMagicPromptOption? _magicPromptOption;
+        private readonly string _aspectRatio;
+        private readonly IdeogramRenderingSpeed _renderingSpeed;
+        private readonly string _negativePrompt;
+        private readonly string _name;
+        
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.IdeogramV3;
+
+        public IdeogramV3Generator(
+            string apiKey,
+            int maxConcurrency,
+            IdeogramV3StyleType styleType,
+            IdeogramMagicPromptOption? magicPromptOption,
+            IdeogramAspectRatio aspectRatio,
+            IdeogramRenderingSpeed renderingSpeed,
+            string negativePrompt,
+            MultiClientRunStats stats,
+            string name)
+        {
+            _client = new IdeogramClient(apiKey);
+            _semaphore = new SemaphoreSlim(maxConcurrency);
+            _stats = stats;
+            _styleType = styleType;
+            _magicPromptOption = magicPromptOption;
+            var convertedAspectRatio = aspectRatio.ToString().Replace("ASPECT_", "").Replace("_", "x");
+            _aspectRatio = convertedAspectRatio;
+            _renderingSpeed = renderingSpeed;
+            _negativePrompt = negativePrompt ?? string.Empty;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+        }
+
+        
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var parts = new List<string> { ApiType.ToString() };
+            if (!string.IsNullOrEmpty(_name))
+            {
+                parts.Add(_name);
+            }
+
+            parts.Add(_styleType.ToString());
+            parts.Add(_aspectRatio.ToString().Replace(":", "x"));
+            parts.Add(_renderingSpeed.ToString());
+            return string.Join("_", parts.Where(p => !string.IsNullOrEmpty(p)));
+        }
+
+        public List<string> GetRightParts()
+        {
+            var contents = new List<string> { "ideogram v3" };
+            if (!string.IsNullOrEmpty(_name))
+            {
+                contents.Add(_name);
+            }
+
+            contents.Add(_styleType.ToString());
+            contents.Add(_aspectRatio.ToString().Replace(":", "x"));
+            contents.Add(_renderingSpeed.ToString());
+
+            return contents;
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (!string.IsNullOrEmpty(_name))
+            {
+                return _name;
+            }
+            return "ideogram-v3";
+        }
+
+        public decimal GetCost()
+        {
+            // Pricing is not yet documented; leave a placeholder number until official rates available.
+            return 0.08m;
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _semaphore.WaitAsync();
+            try
+            {
+                _stats.IdeogramV3RequestCount++;
+
+                var request = new IdeogramV3GenerateRequest(promptDetails.Prompt)
+                {
+                    AspectRatio = _aspectRatio,
+                    RenderingSpeed = _renderingSpeed,
+                    StyleType = _styleType,
+                    MagicPrompt = _magicPromptOption,
+                    NegativePrompt = string.IsNullOrWhiteSpace(_negativePrompt) ? null : _negativePrompt
+                };
+
+                var response = await _client.GenerateImageV3Async(request);
+
+                if (response?.Data == null || response.Data.Count == 0)
+                {
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "No images generated",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                        GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                if (response.Data.Count > 1)
+                {
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "Multiple images returned and the client is not configured for batches",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                        GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                var imageObject = response.Data[0];
+                if (!string.IsNullOrWhiteSpace(imageObject.Prompt) &&
+                    !string.Equals(imageObject.Prompt, promptDetails.Prompt, StringComparison.OrdinalIgnoreCase))
+                {
+                    promptDetails.ReplacePrompt(imageObject.Prompt, imageObject.Prompt, TransformationType.IdeogramRewrite);
+                }
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Url = imageObject.Url,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            catch (HttpRequestException ex)
+            {
+                _stats.IdeogramV3RefusedCount++;
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            catch (Exception ex)
+            {
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            finally
+            {
+                _semaphore.Release();
+            }
+        }
+    }
+}
+

From 6b8158eb6c7be53e8cec60199d7e8c0981d2d777 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 28 Sep 2025 17:42:55 -0700
Subject: [PATCH 58/78] jesus this is literally the next fermat's last theorem

---
 .../Implementation/ImageCombiner.cs           | 50 +++++++++++++++----
 1 file changed, 41 insertions(+), 9 deletions(-)

diff --git a/MultiImageClient/Implementation/ImageCombiner.cs b/MultiImageClient/Implementation/ImageCombiner.cs
index 4817329..ae5a23a 100644
--- a/MultiImageClient/Implementation/ImageCombiner.cs
+++ b/MultiImageClient/Implementation/ImageCombiner.cs
@@ -337,7 +337,7 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
             }
 
             var maxImageHeight = originalImage.Height;
-            var descriptionWidth = 600; // Fixed width for description
+            var descriptionWidth = 1024; // Fixed width for description
             var descriptionHeight = maxImageHeight; // Description takes up the same height as the original image.
             var loadedImages = LoadResultImages(results).ToList();
 
@@ -368,33 +368,65 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 currentX += originalImage.Width;
 
                 // 2. Draw Description Text
-                // Use binary search to find the optimal font size that fills the available space
-                var minFontSize = 8;
-                var maxFontSize = 150; // Start with a large maximum
-                var optimalFontSize = minFontSize;
+                // Calculate optimal font size to use 85% of available space (leaving some breathing room)
+                var targetUtilization = 0.85; 
                 var availableHeight = descriptionHeight - 2 * UIConstants.Padding;
                 var wrappingWidth = descriptionWidth - 2 * UIConstants.Padding;
+                var targetHeight = availableHeight * targetUtilization;
+                
+                Logger.Log($"Description panel: {descriptionWidth}x{descriptionHeight}");
+                Logger.Log($"Target to fill: {wrappingWidth}x{targetHeight} (85% of available)");
+                Logger.Log($"Text: {descriptionText.Length} chars");
+                
+                // Reasonable font size bounds for long text
+                var minFontSize = 12;
+                var maxFontSize = 60; // Much more reasonable maximum for long text
+                var optimalFontSize = minFontSize;
                 
-                // Binary search for the optimal font size
+                // Start with a reasonable estimate based on text length
+                // For very long text (>500 chars), start searching from a smaller size
+                if (descriptionText.Length > 500)
+                {
+                    maxFontSize = 40; // Long text needs smaller font
+                }
+                else if (descriptionText.Length > 200)
+                {
+                    maxFontSize = 50; // Medium text
+                }
+                
+                Logger.Log($"Adjusted max font size to {maxFontSize} based on text length");
+                
+                // Binary search for the optimal size
                 while (minFontSize <= maxFontSize)
                 {
                     var midFontSize = (minFontSize + maxFontSize) / 2;
                     var testFont = FontUtils.CreateFont(midFontSize, FontStyle.Regular);
                     var testHeight = ImageUtils.MeasureTextHeight(descriptionText, testFont, UIConstants.LineSpacing, wrappingWidth);
                     
-                    if (testHeight <= availableHeight)
+                    Logger.Log($"Font {midFontSize}pt: height={testHeight}, target={targetHeight}");
+                    
+                    if (testHeight <= targetHeight)
                     {
-                        // Text fits, try a larger size
+                        // Text fits, try larger
                         optimalFontSize = midFontSize;
                         minFontSize = midFontSize + 1;
                     }
                     else
                     {
-                        // Text doesn't fit, try a smaller size
+                        // Text doesn't fit, try smaller
                         maxFontSize = midFontSize - 1;
                     }
                 }
                 
+                // Make sure we found something reasonable
+                if (optimalFontSize < 14)
+                {
+                    optimalFontSize = 14; // Minimum readable size
+                    Logger.Log($"Font size was too small, forcing minimum of 14pt");
+                }
+                
+                Logger.Log($"FINAL FONT SIZE: {optimalFontSize}pt for {descriptionText.Length} chars in {wrappingWidth}x{targetHeight}px");
+                
                 // Create the final font and text options with the optimal size
                 var descriptionFont = FontUtils.CreateFont(optimalFontSize, FontStyle.Regular);
                 var descriptionTextOptions = new RichTextOptions(descriptionFont)

From cdc881a2a791a3c03cb470f47245f2c6f463e477 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 28 Sep 2025 19:47:52 -0700
Subject: [PATCH 59/78] fixedish

---
 MultiImageClient/GeneratorGroups.cs           |    1 +
 .../Implementation/ImageCombiner.cs           | 1306 +++++++++--------
 .../Implementation/RountripWorkflow.cs        |    1 +
 3 files changed, 675 insertions(+), 633 deletions(-)

diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/GeneratorGroups.cs
index 68a2207..a43bf6d 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/GeneratorGroups.cs
@@ -66,6 +66,7 @@ public IEnumerable<IImageGenerator> GetAll()
             myGenerators = new List<IImageGenerator>() { gptimage1_1, ideogram3, ideogram4, ideogramV3, recraft_any, dalle3, bfl1, bfl2, bfl3, google_banana, googleimagen, recraft_any };
 
             //myGenerators = new List<IImageGenerator>() { dalle3, bfl1, recraft_any };
+            myGenerators = new List<IImageGenerator>() { recraft_any, googleimagen, google_banana };
 
             return myGenerators;
         }
diff --git a/MultiImageClient/Implementation/ImageCombiner.cs b/MultiImageClient/Implementation/ImageCombiner.cs
index ae5a23a..ae05170 100644
--- a/MultiImageClient/Implementation/ImageCombiner.cs
+++ b/MultiImageClient/Implementation/ImageCombiner.cs
@@ -1,633 +1,673 @@
-#nullable enable
-using IdeogramAPIClient;
-
-using ImageMagick;
-
-using SixLabors.Fonts;
-using SixLabors.ImageSharp;
-using SixLabors.ImageSharp.Drawing.Processing;
-using SixLabors.ImageSharp.PixelFormats;
-using SixLabors.ImageSharp.Processing;
-using System.Text.Json;
-using System.Text.Json.Serialization;
-
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Linq;
-using System.Net.Http;
-using System.Threading.Tasks;
-using System.Diagnostics;
-
-
-
-using static MultiImageClient.ImageSaving;
-using GenerativeAI.Types.RagEngine;
-
-namespace MultiImageClient
-{
-    public static class ImageCombiner
-    {
-        private const int CombinedImageGeneratorFontSize = 24;
-        private const int CombinedImagePromptFontSize = 32;
-        private const int GeneratedImageLabelFontSize = 18;
-        private const float LabelLineHeightMultiplier = 1.5f;
-        private const int PlaceholderWidth = 300;
-        private const int LabelFontSize = 12;
-
-
-        private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcessResult> results)
-        {
-            var loadedImages = new List<LoadedImage>();
-
-            foreach (var result in results.Where(el => el.IsSuccess))
-            {
-                try
-                {
-                    foreach (var imageBytes in result.GetAllImages)
-                    {
-                        if (imageBytes != null && imageBytes.Length > 0)
-                        {
-                            var image = Image.Load<Rgba32>(imageBytes);
-
-                            // Resize if height > 1300px, keeping proportions and max height of 1024px
-                            if (image.Height > 1300)
-                            {
-                                var aspectRatio = (float)image.Width / image.Height;
-                                var newHeight = 1024;
-                                var newWidth = (int)(newHeight * aspectRatio);
-
-                                Logger.Log($"Resizing image from {image.Width}x{image.Height} to {newWidth}x{newHeight} for combining");
-                                image.Mutate(x => x.Resize(newWidth, newHeight));
-                            }
-
-                            loadedImages.Add(new LoadedImage
-                            {
-                                Success = true,
-                                Result = result.IsSuccess ? (result.ImageGeneratorDescription ?? "successX") : ($"{result.ImageGeneratorDescription} - {result.ErrorMessage}" ?? "failedX"),
-                                Image = image,
-                                Width = image.Width,
-                                Height = image.Height
-                            });
-                        }
-                        else
-                        {
-                            // Success but no bytes somehow
-                            Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
-                            loadedImages.Add(GetPlaceholder(result));
-                        }
-                    }
-                }
-                catch (Exception ex)
-                {
-                    // GetImageBytes() might throw if bytes weren't set, or image loading failed
-                    Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
-                    loadedImages.Add(GetPlaceholder(result));
-                }
-            }
-
-            // Failed result - show placeholder with error
-            foreach (var result in results.Where(el => !el.IsSuccess))
-            {
-
-                loadedImages.Add(GetPlaceholder(result));
-            }
-
-            return loadedImages.OrderBy(el => el.Result);
-        }
-
-        private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
-        {
-            int totalWidth = loadedImages.Sum(img => img.Width);
-            totalWidth = Math.Max(totalWidth, PlaceholderWidth);
-
-            int maxImageHeight = loadedImages.Select(i => i.Height)
-                                             .DefaultIfEmpty(PlaceholderWidth)
-                                             .Max();
-
-            int subtitleHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
-            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + (UIConstants.Padding * 2));
-            int totalHeight = maxImageHeight + subtitleBlockHeight;
-
-            var layoutImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
-
-            layoutImage.Mutate(ctx =>
-            {
-                int currentX = 0;
-                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
-
-                foreach (var li in loadedImages)
-                {
-                    if (li.Success && li.Image != null)
-                    {
-                        ctx.DrawImage(li.Image, new Point(currentX, 0), 1f);
-                    }
-                    else
-                    {
-                        var rect = new RectangleF(currentX, 0, li.Width, maxImageHeight);
-                        var errorText = li.Result;
-                        ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
-                    }
-
-                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
-
-                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                    var labelText = li.Result;
-                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
-
-                    currentX += li.Width;
-                }
-            });
-
-            return layoutImage;
-        }
-
-
-
-        // This is a square image where the top images are all the outputs of the original 1 prompt => many render attempts of it.
-        private static Image<Rgba32> RenderSquareLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
-        {
-            int totalImages = loadedImages.Count();
-
-            if (totalImages == 0)
-            {
-                return RenderEmptyLayout();
-            }
-
-            int columns = Math.Max(1, (int)Math.Ceiling(Math.Sqrt(totalImages)));
-            int rows = (int)Math.Ceiling(totalImages / (double)columns);
-
-            var columnWidths = new int[columns];
-            var rowHeights = new int[rows];
-
-            var index = 0;
-            foreach (var li in loadedImages)
-            {
-                int column = index % columns;
-                int row = index / columns;
-
-                columnWidths[column] = Math.Max(columnWidths[column], li.Width);
-                rowHeights[row] = Math.Max(rowHeights[row], li.Height);
-                index++;
-            }
-
-            int layoutWidth = Math.Max(columnWidths.Sum(), PlaceholderWidth);
-
-            var columnOffsets = new int[columns];
-            int xAccumulator = 0;
-            for (int col = 0; col < columns; col++)
-            {
-                columnOffsets[col] = xAccumulator;
-                xAccumulator += columnWidths[col];
-            }
-
-            // every image has its own description section
-            int imageSubdescriptionHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
-            int subdescripitonHeight = Math.Max(UIConstants.Padding * 2, imageSubdescriptionHeight + (UIConstants.Padding * 2));
-            int layoutHeight = rowHeights.Sum() + (subdescripitonHeight * rows);
-
-            var layoutImage = ImageUtils.CreateStandardImage(layoutWidth, layoutHeight, UIConstants.White);
-
-            layoutImage.Mutate(ctx =>
-            {
-                int currentY = 0;
-                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
-                int imageIndex = 0;
-
-                for (int row = 0; row < rows; row++)
-                {
-                    int rowHeight = rowHeights[row];
-                    int labelY = currentY + rowHeight + UIConstants.Padding;
-
-                    for (int col = 0; col < columns; col++)
-                    {
-                        if (imageIndex >= totalImages)
-                        {
-                            break;
-                        }
-
-                        var li = loadedImages.ToList()[imageIndex];
-                        int columnWidth = columnWidths[col];
-                        int columnX = columnOffsets[col];
-
-                        int imageX = columnX + Math.Max(0, (columnWidth - li.Width) / 2);
-                        int imageY = currentY;
-
-                        if (li.Success && li.Image != null)
-                        {
-                            ctx.DrawImage(li.Image, new Point(imageX, imageY), 1f);
-                        }
-                        else
-                        {
-                            var rect = new RectangleF(columnX, imageY, Math.Max(columnWidth, 1), Math.Max(rowHeight, 1));
-                            var errorText = li.Result;
-                            ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
-                        }
-
-                        labelOpts.Origin = new PointF(columnX + Math.Max(columnWidth, 1) / 2f, labelY);
-
-                        var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                        var labelText = li.Result;
-                        ctx.DrawTextStandard(labelOpts, labelText, labelColor);
-
-                        imageIndex++;
-                    }
-
-                    currentY += rowHeight + subdescripitonHeight;
-                }
-            });
-
-            return layoutImage;
-        }
-
-        public static async Task<string> CreateBatchLayoutImageHorizontalAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
-        {
-            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
-            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
-
-            var loadedImages = LoadResultImages(results);
-
-            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
-            var totalWidth = layoutImage.Width;
-
-            using var promptPanel = RenderPromptPanel(totalWidth, prompt, promptFont);
-
-            int totalHeight = layoutImage.Height + promptPanel.Height;
-            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
-
-            combinedImage.Mutate(ctx =>
-            {
-                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
-                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
-            });
-
-
-            var outputPath = await SaveCombinedImageToDisk(combinedImage, prompt, settings);
-
-            foreach (var li in loadedImages)
-            {
-                li.Image?.Dispose();
-            }
-
-            OpenImageWithDefaultApplication(outputPath);
-
-            return outputPath;
-        }
-
-        public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
-        {
-            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
-            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
-
-            var loadedImages = LoadResultImages(results);
-
-            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
-            using var promptPanel = RenderPromptPanel(layoutImage.Width, prompt, promptFont);
-
-            int totalHeight = layoutImage.Height + promptPanel.Height;
-            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
-
-            combinedImage.Mutate(ctx =>
-            {
-                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
-                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
-            });
-
-
-            var outputPath = await SaveCombinedImageToDisk(combinedImage, prompt, settings);
-
-            foreach (var li in loadedImages)
-            {
-                li.Image?.Dispose();
-            }
-
-            OpenImageWithDefaultApplication(outputPath);
-
-            return outputPath;
-        }
-
-
-
-
-
-
-        // this is how werender the "roundtrip workflow". In this case, the user provided an image to us.
-        // we used an LLM to describe it, then we sent that description to a bunch of images.
-        // the output format should be a long horizontal strip. Leftmost should be the image, labelled like "original iamge".
-        // then to the right of that,  how it was described, in descriptionText taking up a big square column (sine this text might be long).
-        // then further to the right, in order, just like we did in RenderHorizontalLayout, should be all the output images ortheir error placeholders.
-        public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, Settings settings)
-        {
-            var labelFont = FontUtils.CreateFont(36, FontStyle.Bold); // Large font for labels
-            var originalImage = Image.Load<Rgba32>(originalImageBytes);
-            if (originalImage == null)
-            {
-                throw new Exception("no original image.");
-            }
-
-            // Resize original image if height > 1024px, keeping proportions
-            if (originalImage.Height > 1024)
-            {
-                var aspectRatio = (float)originalImage.Width / originalImage.Height;
-                var newHeight = 1024;
-                var newWidth = (int)(newHeight * aspectRatio);
-
-                Logger.Log($"Resizing original image from {originalImage.Width}x{originalImage.Height} to {newWidth}x{newHeight} for combining");
-                originalImage.Mutate(x => x.Resize(newWidth, newHeight));
-            }
-
-            var maxImageHeight = originalImage.Height;
-            var descriptionWidth = 1024; // Fixed width for description
-            var descriptionHeight = maxImageHeight; // Description takes up the same height as the original image.
-            var loadedImages = LoadResultImages(results).ToList();
-
-            // Measure label heights to account for them in total height
-            var labelHeight = 50; // Approximate height for 36pt font labels
-            
-            // Calculate total width and height
-            var totalWidth = originalImage.Width + descriptionWidth + loadedImages.Sum(li => li.Width);
-            var totalHeight = maxImageHeight + labelHeight + UIConstants.Padding * 2;
-
-            var layoutImage = new Image<Rgba32>(totalWidth, totalHeight);
-
-            layoutImage.Mutate(ctx =>
-            {
-                ctx.ApplyStandardGraphicsOptions();
-                ctx.Fill(UIConstants.White);
-                float currentX = 0;
-
-                // 1. Draw Original Image
-                ctx.DrawImage(originalImage!, new Point((int)currentX, 0), 1f);
-                var labelOptsOriginal = new RichTextOptions(labelFont)
-                {
-                    HorizontalAlignment = HorizontalAlignment.Center,
-                    VerticalAlignment = VerticalAlignment.Top
-                };
-                labelOptsOriginal.Origin = new PointF(currentX + originalImage!.Width / 2f, maxImageHeight + UIConstants.Padding);
-                ctx.DrawTextStandard(labelOptsOriginal, "Original Image", Color.Black);
-                currentX += originalImage.Width;
-
-                // 2. Draw Description Text
-                // Calculate optimal font size to use 85% of available space (leaving some breathing room)
-                var targetUtilization = 0.85; 
-                var availableHeight = descriptionHeight - 2 * UIConstants.Padding;
-                var wrappingWidth = descriptionWidth - 2 * UIConstants.Padding;
-                var targetHeight = availableHeight * targetUtilization;
-                
-                Logger.Log($"Description panel: {descriptionWidth}x{descriptionHeight}");
-                Logger.Log($"Target to fill: {wrappingWidth}x{targetHeight} (85% of available)");
-                Logger.Log($"Text: {descriptionText.Length} chars");
-                
-                // Reasonable font size bounds for long text
-                var minFontSize = 12;
-                var maxFontSize = 60; // Much more reasonable maximum for long text
-                var optimalFontSize = minFontSize;
-                
-                // Start with a reasonable estimate based on text length
-                // For very long text (>500 chars), start searching from a smaller size
-                if (descriptionText.Length > 500)
-                {
-                    maxFontSize = 40; // Long text needs smaller font
-                }
-                else if (descriptionText.Length > 200)
-                {
-                    maxFontSize = 50; // Medium text
-                }
-                
-                Logger.Log($"Adjusted max font size to {maxFontSize} based on text length");
-                
-                // Binary search for the optimal size
-                while (minFontSize <= maxFontSize)
-                {
-                    var midFontSize = (minFontSize + maxFontSize) / 2;
-                    var testFont = FontUtils.CreateFont(midFontSize, FontStyle.Regular);
-                    var testHeight = ImageUtils.MeasureTextHeight(descriptionText, testFont, UIConstants.LineSpacing, wrappingWidth);
-                    
-                    Logger.Log($"Font {midFontSize}pt: height={testHeight}, target={targetHeight}");
-                    
-                    if (testHeight <= targetHeight)
-                    {
-                        // Text fits, try larger
-                        optimalFontSize = midFontSize;
-                        minFontSize = midFontSize + 1;
-                    }
-                    else
-                    {
-                        // Text doesn't fit, try smaller
-                        maxFontSize = midFontSize - 1;
-                    }
-                }
-                
-                // Make sure we found something reasonable
-                if (optimalFontSize < 14)
-                {
-                    optimalFontSize = 14; // Minimum readable size
-                    Logger.Log($"Font size was too small, forcing minimum of 14pt");
-                }
-                
-                Logger.Log($"FINAL FONT SIZE: {optimalFontSize}pt for {descriptionText.Length} chars in {wrappingWidth}x{targetHeight}px");
-                
-                // Create the final font and text options with the optimal size
-                var descriptionFont = FontUtils.CreateFont(optimalFontSize, FontStyle.Regular);
-                var descriptionTextOptions = new RichTextOptions(descriptionFont)
-                {
-                    HorizontalAlignment = HorizontalAlignment.Left,
-                    VerticalAlignment = VerticalAlignment.Top,
-                    WrappingLength = wrappingWidth,
-                    Origin = new PointF(currentX + UIConstants.Padding, UIConstants.Padding)
-                };
-
-
-                ctx.Fill(Color.LightGray, new RectangleF(currentX, 0, descriptionWidth, descriptionHeight)); // Background for text
-                ctx.DrawTextStandard(descriptionTextOptions, descriptionText, Color.Black);
-
-                var labelOptsDescription = new RichTextOptions(labelFont)
-                {
-                    HorizontalAlignment = HorizontalAlignment.Center,
-                    VerticalAlignment = VerticalAlignment.Top
-                };
-                labelOptsDescription.Origin = new PointF(currentX + descriptionWidth / 2f, maxImageHeight + UIConstants.Padding);
-                ctx.DrawTextStandard(labelOptsDescription, "Description", Color.Black);
-                currentX += descriptionWidth;
-
-                // 3. Draw Loaded Images with their labels
-                foreach (var li in loadedImages)
-                {
-                    // Calculate vertical offset to align bottom of image with maxImageHeight
-                    var imageYOffset = maxImageHeight - li.Height;
-                    
-                    if (li.Image != null)
-                    {
-                        ctx.DrawImage(li.Image, new Point((int)currentX, imageYOffset), 1);
-                    }
-                    else
-                    {
-                        // Draw placeholder for error images
-                        ctx.Fill(Color.LightGray, new Rectangle((int)currentX, imageYOffset, li.Width, li.Height));
-                        var errorTextOptions = new RichTextOptions(labelFont)
-                        {
-                            HorizontalAlignment = HorizontalAlignment.Center,
-                            VerticalAlignment = VerticalAlignment.Center
-                        };
-                        errorTextOptions.Origin = new PointF(currentX + li.Width / 2f, imageYOffset + li.Height / 2f);
-                        ctx.DrawTextStandard(errorTextOptions, "ERROR", Color.Red);
-                    }
-
-                    var labelOpts = new RichTextOptions(labelFont)
-                    {
-                        HorizontalAlignment = HorizontalAlignment.Center,
-                        VerticalAlignment = VerticalAlignment.Top
-                    };
-                    var labelText = li.Result;
-                    // Calculate the vertical position based on maxImageHeight, padding, and actual label text height.
-                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding); // Start UIConstants.Padding below the image
-
-                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
-
-                    currentX += li.Width;
-                }
-
-
-               
-            });
-            var outputPath = await SaveCombinedImageToDisk(layoutImage, descriptionText, settings);
-
-            foreach (var li in loadedImages)
-            {
-                li.Image?.Dispose();
-            }
-
-            OpenImageWithDefaultApplication(outputPath);
-
-            return outputPath;
-        }
-        private static Image<Rgba32> RenderPromptPanel(int width, string prompt, Font promptFont)
-        {
-            width = Math.Max(width, PlaceholderWidth);
-
-            int wrappingWidth = Math.Max(1, width - (UIConstants.Padding * 4));
-            int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
-            int topPadding = UIConstants.Padding * 3;
-            int bottomPadding = UIConstants.Padding * 2;
-            int totalHeight = topPadding + promptHeight + bottomPadding;
-
-            var promptPanel = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.White);
-
-            promptPanel.Mutate(ctx =>
-            {
-                var promptOpts = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
-                promptOpts.Origin = new PointF(UIConstants.Padding * 2, topPadding);
-                promptOpts.WrappingLength = wrappingWidth;
-
-                ctx.DrawTextStandard(promptOpts, prompt, UIConstants.Black);
-            });
-
-            return promptPanel;
-        }
-
-        
-        public static void OpenImageWithDefaultApplication(string imagePath)
-        {
-            if (File.Exists(imagePath))
-            {
-                try
-                {
-                    Process.Start(new ProcessStartInfo(imagePath) { UseShellExecute = true });
-                }
-                catch (Exception ex)
-                {
-                    Console.WriteLine($"Error opening image {imagePath}: {ex.Message}");
-                }
-            }
-            else
-            {
-                Console.WriteLine($"Image file not found at {imagePath}");
-            }
-        }
-
-        private static int MeasureImageSubdescriptionHeight(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
-        {
-            return loadedImages
-                .Select(li => li.Result ?? "missing")
-                .Select(label => ImageUtils.MeasureTextHeight(label, generatorFont, UIConstants.LineSpacing))
-                .DefaultIfEmpty(0)
-                .Max();
-        }
-
-        
-
-
-        public static LoadedImage GetPlaceholder(TaskProcessResult result)
-        {
-            return new LoadedImage
-            {
-                Image = null,
-                Success = false,
-                Result = result.ErrorMessage ?? "ErrorX",
-                Width = PlaceholderWidth,
-                Height = PlaceholderWidth
-            };
-        }
-
-        private static Image<Rgba32> RenderEmptyLayout()
-        {
-            var empty = ImageUtils.CreateStandardImage(PlaceholderWidth, PlaceholderWidth + (UIConstants.Padding * 2), UIConstants.White);
-
-            empty.Mutate(ctx =>
-            {
-                var font = FontUtils.CreateFont(LabelFontSize, FontStyle.Regular);
-                var opts = FontUtils.CreateTextOptions(font, HorizontalAlignment.Center, VerticalAlignment.Center, UIConstants.LineSpacing);
-                opts.Origin = new PointF(empty.Width / 2f, empty.Height / 2f);
-                ctx.DrawTextStandard(opts, "No images", UIConstants.ErrorRed);
-            });
-
-            return empty;
-        }
-
-
-        private static async Task<string> SaveCombinedImageToDisk(Image<Rgba32> image, string prompt, Settings settings)
-        {
-            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
-            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
-            Directory.CreateDirectory(baseFolder);
-
-            var truncatedPrompt = FilenameGenerator.TruncatePrompt(prompt, 50);
-            var baseFilename = $"combined_{truncatedPrompt}_{DateTime.Now:HHmmss}";
-            var safeFilename = FilenameGenerator.SanitizeFilename(baseFilename);
-            var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
-
-            int counter = 1;
-            while (File.Exists(outputPath))
-            {
-                outputPath = Path.Combine(baseFolder, $"{safeFilename}_{counter}.png");
-                counter++;
-            }
-
-            await image.SaveAsPngAsync(outputPath);
-            Logger.Log($"Combined image saved: {outputPath}");
-
-            return outputPath;
-        }
-
-        public class LoadedImage
-        {
-            public bool Success { get; set; }
-            public string? Result { get; set; }
-            public Image<Rgba32>? Image { get; set; }
-            public int Width { get; set; }
-            public int Height { get; set; }
-        }
-
-        private class ImageDimensions
-        {
-            public int TotalWidth { get; set; }
-            public int MaxImageHeight { get; set; }
-            public int SubtitleHeight { get; set; }
-            public int PromptHeight { get; set; }
-            public int TotalHeight { get; set; }
-        }
-
-
-    }
-}
+#nullable enable
+using IdeogramAPIClient;
+
+using ImageMagick;
+
+using SixLabors.Fonts;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Drawing.Processing;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.ImageSharp.Processing;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+using System.Diagnostics;
+
+
+
+using static MultiImageClient.ImageSaving;
+using GenerativeAI.Types.RagEngine;
+
+namespace MultiImageClient
+{
+    public static class ImageCombiner
+    {
+        private const int CombinedImageGeneratorFontSize = 24;
+        private const int CombinedImagePromptFontSize = 32;
+        private const int GeneratedImageLabelFontSize = 18;
+        private const float LabelLineHeightMultiplier = 1.5f;
+        private const int PlaceholderWidth = 300;
+        private const int LabelFontSize = 12;
+
+
+        private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcessResult> results)
+        {
+            var loadedImages = new List<LoadedImage>();
+
+            foreach (var result in results.Where(el => el.IsSuccess))
+            {
+                try
+                {
+                    foreach (var imageBytes in result.GetAllImages)
+                    {
+                        if (imageBytes != null && imageBytes.Length > 0)
+                        {
+                            var image = Image.Load<Rgba32>(imageBytes);
+
+                            // Resize if height > 1300px, keeping proportions and max height of 1024px
+                            if (image.Height > 1300)
+                            {
+                                var aspectRatio = (float)image.Width / image.Height;
+                                var newHeight = 1024;
+                                var newWidth = (int)(newHeight * aspectRatio);
+
+                                Logger.Log($"Resizing image from {image.Width}x{image.Height} to {newWidth}x{newHeight} for combining");
+                                image.Mutate(x => x.Resize(newWidth, newHeight));
+                            }
+
+                            loadedImages.Add(new LoadedImage
+                            {
+                                Success = true,
+                                Result = result.IsSuccess ? (result.ImageGeneratorDescription ?? "successX") : ($"{result.ImageGeneratorDescription} - {result.ErrorMessage}" ?? "failedX"),
+                                Image = image,
+                                Width = image.Width,
+                                Height = image.Height
+                            });
+                        }
+                        else
+                        {
+                            // Success but no bytes somehow
+                            Logger.Log($"No image bytes for successful result from {result.ImageGenerator}");
+                            loadedImages.Add(GetPlaceholder(result));
+                        }
+                    }
+                }
+                catch (Exception ex)
+                {
+                    // GetImageBytes() might throw if bytes weren't set, or image loading failed
+                    Logger.Log($"Failed to get/load image from {result.ImageGenerator}: {ex.Message}");
+                    loadedImages.Add(GetPlaceholder(result));
+                }
+            }
+
+            // Failed result - show placeholder with error
+            foreach (var result in results.Where(el => !el.IsSuccess))
+            {
+
+                loadedImages.Add(GetPlaceholder(result));
+            }
+
+            return loadedImages.OrderBy(el => el.Result);
+        }
+
+        private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
+        {
+            int totalWidth = loadedImages.Sum(img => img.Width);
+            totalWidth = Math.Max(totalWidth, PlaceholderWidth);
+
+            int maxImageHeight = loadedImages.Select(i => i.Height)
+                                             .DefaultIfEmpty(PlaceholderWidth)
+                                             .Max();
+
+            int subtitleHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
+            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + (UIConstants.Padding * 2));
+            int totalHeight = maxImageHeight + subtitleBlockHeight;
+
+            var layoutImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
+
+            layoutImage.Mutate(ctx =>
+            {
+                int currentX = 0;
+                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
+
+                foreach (var li in loadedImages)
+                {
+                    if (li.Success && li.Image != null)
+                    {
+                        ctx.DrawImage(li.Image, new Point(currentX, 0), 1f);
+                    }
+                    else
+                    {
+                        var rect = new RectangleF(currentX, 0, li.Width, maxImageHeight);
+                        var errorText = li.Result;
+                        ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
+                    }
+
+                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
+
+                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                    var labelText = li.Result;
+                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+
+                    currentX += li.Width;
+                }
+            });
+
+            return layoutImage;
+        }
+
+
+
+        // This is a square image where the top images are all the outputs of the original 1 prompt => many render attempts of it.
+        private static Image<Rgba32> RenderSquareLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
+        {
+            int totalImages = loadedImages.Count();
+
+            if (totalImages == 0)
+            {
+                return RenderEmptyLayout();
+            }
+
+            int columns = Math.Max(1, (int)Math.Ceiling(Math.Sqrt(totalImages)));
+            int rows = (int)Math.Ceiling(totalImages / (double)columns);
+
+            var columnWidths = new int[columns];
+            var rowHeights = new int[rows];
+
+            var index = 0;
+            foreach (var li in loadedImages)
+            {
+                int column = index % columns;
+                int row = index / columns;
+
+                columnWidths[column] = Math.Max(columnWidths[column], li.Width);
+                rowHeights[row] = Math.Max(rowHeights[row], li.Height);
+                index++;
+            }
+
+            int layoutWidth = Math.Max(columnWidths.Sum(), PlaceholderWidth);
+
+            var columnOffsets = new int[columns];
+            int xAccumulator = 0;
+            for (int col = 0; col < columns; col++)
+            {
+                columnOffsets[col] = xAccumulator;
+                xAccumulator += columnWidths[col];
+            }
+
+            // every image has its own description section
+            int imageSubdescriptionHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
+            int subdescripitonHeight = Math.Max(UIConstants.Padding * 2, imageSubdescriptionHeight + (UIConstants.Padding * 2));
+            int layoutHeight = rowHeights.Sum() + (subdescripitonHeight * rows);
+
+            var layoutImage = ImageUtils.CreateStandardImage(layoutWidth, layoutHeight, UIConstants.White);
+
+            layoutImage.Mutate(ctx =>
+            {
+                int currentY = 0;
+                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
+                int imageIndex = 0;
+
+                for (int row = 0; row < rows; row++)
+                {
+                    int rowHeight = rowHeights[row];
+                    int labelY = currentY + rowHeight + UIConstants.Padding;
+
+                    for (int col = 0; col < columns; col++)
+                    {
+                        if (imageIndex >= totalImages)
+                        {
+                            break;
+                        }
+
+                        var li = loadedImages.ToList()[imageIndex];
+                        int columnWidth = columnWidths[col];
+                        int columnX = columnOffsets[col];
+
+                        int imageX = columnX + Math.Max(0, (columnWidth - li.Width) / 2);
+                        int imageY = currentY;
+
+                        if (li.Success && li.Image != null)
+                        {
+                            ctx.DrawImage(li.Image, new Point(imageX, imageY), 1f);
+                        }
+                        else
+                        {
+                            var rect = new RectangleF(columnX, imageY, Math.Max(columnWidth, 1), Math.Max(rowHeight, 1));
+                            var errorText = li.Result;
+                            ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
+                        }
+
+                        labelOpts.Origin = new PointF(columnX + Math.Max(columnWidth, 1) / 2f, labelY);
+
+                        var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                        var labelText = li.Result;
+                        ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+
+                        imageIndex++;
+                    }
+
+                    currentY += rowHeight + subdescripitonHeight;
+                }
+            });
+
+            return layoutImage;
+        }
+
+        public static async Task<string> CreateBatchLayoutImageHorizontalAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
+        {
+            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
+            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
+
+            var loadedImages = LoadResultImages(results);
+
+            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
+            var totalWidth = layoutImage.Width;
+
+            using var promptPanel = RenderPromptPanel(totalWidth, prompt, promptFont);
+
+            int totalHeight = layoutImage.Height + promptPanel.Height;
+            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
+
+            combinedImage.Mutate(ctx =>
+            {
+                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
+                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
+            });
+
+
+            var outputPath = await SaveCombinedImageToDisk(combinedImage, prompt, settings);
+
+            foreach (var li in loadedImages)
+            {
+                li.Image?.Dispose();
+            }
+
+            OpenImageWithDefaultApplication(outputPath);
+
+            return outputPath;
+        }
+
+        public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
+        {
+            var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
+            var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
+
+            var loadedImages = LoadResultImages(results);
+
+            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
+            using var promptPanel = RenderPromptPanel(layoutImage.Width, prompt, promptFont);
+
+            int totalHeight = layoutImage.Height + promptPanel.Height;
+            var combinedImage = ImageUtils.CreateStandardImage(layoutImage.Width, totalHeight, UIConstants.White);
+
+            combinedImage.Mutate(ctx =>
+            {
+                ctx.DrawImage(layoutImage, new Point(0, 0), 1f);
+                ctx.DrawImage(promptPanel, new Point(0, layoutImage.Height), 1f);
+            });
+
+
+            var outputPath = await SaveCombinedImageToDisk(combinedImage, prompt, settings);
+
+            foreach (var li in loadedImages)
+            {
+                li.Image?.Dispose();
+            }
+
+            OpenImageWithDefaultApplication(outputPath);
+
+            return outputPath;
+        }
+
+
+
+
+
+
+        // this is how werender the "roundtrip workflow". In this case, the user provided an image to us.
+        // we used an LLM to describe it, then we sent that description to a bunch of images.
+        // the output format should be a long horizontal strip. Leftmost should be the image, labelled like "original iamge".
+        // then to the right of that,  how it was described, in descriptionText taking up a big square column (sine this text might be long).
+        // then further to the right, in order, just like we did in RenderHorizontalLayout, should be all the output images ortheir error placeholders.
+        public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, Settings settings)
+        {
+            var labelFont = FontUtils.CreateFont(36, FontStyle.Bold); // Large font for labels
+            var originalImage = Image.Load<Rgba32>(originalImageBytes);
+            if (originalImage == null)
+            {
+                throw new Exception("no original image.");
+            }
+
+            // Resize original image if height > 1024px, keeping proportions
+            if (originalImage.Height > 1024)
+            {
+                var aspectRatio = (float)originalImage.Width / originalImage.Height;
+                var newHeight = 1024;
+                var newWidth = (int)(newHeight * aspectRatio);
+
+                Logger.Log($"Resizing original image from {originalImage.Width}x{originalImage.Height} to {newWidth}x{newHeight} for combining");
+                originalImage.Mutate(x => x.Resize(newWidth, newHeight));
+            }
+
+            var maxImageHeight = originalImage.Height;
+            var descriptionWidth = 1024; // Fixed width for description
+            var descriptionHeight = maxImageHeight; // Description takes up the same height as the original image.
+            var loadedImages = LoadResultImages(results).ToList();
+
+            // Actually measure how much space each label needs
+            var tempLabelFont = FontUtils.CreateFont(36, FontStyle.Bold);
+            
+            // Measure each label text height, accounting for wrapping
+            var labelHeights = new List<int>();
+            foreach (var li in loadedImages)
+            {
+                var labelText = li.Result;
+                if (!string.IsNullOrEmpty(labelText))
+                {
+                    // Handle newlines properly - they increase height
+                    var wrappingWidth = li.Width - 10; // Account for padding
+                    var labelHeight = ImageUtils.MeasureTextHeight(labelText, tempLabelFont, UIConstants.LineSpacing, wrappingWidth);
+                    labelHeights.Add(labelHeight);
+                }
+                else
+                {
+                    labelHeights.Add(0);
+                }
+            }
+            
+            // Also measure the "Original Image" and "Description" labels
+            var originalLabelHeight = ImageUtils.MeasureTextHeight("Original Image", tempLabelFont, UIConstants.LineSpacing, originalImage.Width - 10);
+            var descriptionLabelHeight = ImageUtils.MeasureTextHeight("Description", tempLabelFont, UIConstants.LineSpacing, descriptionWidth - 10);
+            
+            // Find the maximum label height needed
+            var maxLabelHeight = Math.Max(originalLabelHeight, descriptionLabelHeight);
+            if (labelHeights.Any())
+            {
+                maxLabelHeight = Math.Max(maxLabelHeight, labelHeights.Max());
+            }
+            
+            Logger.Log($"Max label height needed: {maxLabelHeight}px (original: {originalLabelHeight}, description: {descriptionLabelHeight}, generated images: {string.Join(",", labelHeights)})");
+            
+            // Calculate total width and height
+            var totalWidth = originalImage.Width + descriptionWidth + loadedImages.Sum(li => li.Width);
+            var totalHeight = maxImageHeight + maxLabelHeight + UIConstants.Padding * 2;
+
+            var layoutImage = new Image<Rgba32>(totalWidth, totalHeight);
+
+            layoutImage.Mutate(ctx =>
+            {
+                ctx.ApplyStandardGraphicsOptions();
+                ctx.Fill(UIConstants.White);
+                float currentX = 0;
+
+                // 1. Draw Original Image
+                ctx.DrawImage(originalImage!, new Point((int)currentX, 0), 1f);
+                var labelOptsOriginal = new RichTextOptions(labelFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Center,
+                    VerticalAlignment = VerticalAlignment.Top
+                };
+                labelOptsOriginal.Dpi = UIConstants.TextDpi; // Ensure same DPI as measurement!
+                labelOptsOriginal.Origin = new PointF(currentX + originalImage!.Width / 2f, maxImageHeight + UIConstants.Padding);
+                ctx.DrawTextStandard(labelOptsOriginal, "Original Image", Color.Black);
+                currentX += originalImage.Width;
+
+                // 2. Draw Description Text
+                // Calculate optimal font size to use 85% of available space (leaving some breathing room)
+                var targetUtilization = 0.85; 
+                var availableHeight = descriptionHeight - 2 * UIConstants.Padding;
+                var wrappingWidth = descriptionWidth - 2 * UIConstants.Padding;
+                var targetHeight = availableHeight * targetUtilization;
+                
+                // Count newlines in the text - they affect height calculations!
+                var newlineCount = descriptionText.Count(c => c == '\n');
+                
+                Logger.Log($"Description panel: {descriptionWidth}x{descriptionHeight}");
+                Logger.Log($"Target to fill: {wrappingWidth}x{targetHeight} (85% of available)");
+                Logger.Log($"Text: {descriptionText.Length} chars with {newlineCount} newlines");
+                
+                // Reasonable font size bounds for long text
+                var minFontSize = 12;
+                var maxFontSize = 60; // Much more reasonable maximum for long text
+                var optimalFontSize = minFontSize;
+                
+                // Start with a reasonable estimate based on text length
+                // For very long text (>500 chars), start searching from a smaller size
+                if (descriptionText.Length > 500)
+                {
+                    maxFontSize = 40; // Long text needs smaller font
+                }
+                else if (descriptionText.Length > 200)
+                {
+                    maxFontSize = 50; // Medium text
+                }
+                
+                Logger.Log($"Adjusted max font size to {maxFontSize} based on text length");
+                
+                // Binary search for the optimal size
+                while (minFontSize <= maxFontSize)
+                {
+                    var midFontSize = (minFontSize + maxFontSize) / 2;
+                    var testFont = FontUtils.CreateFont(midFontSize, FontStyle.Regular);
+                    var testHeight = ImageUtils.MeasureTextHeight(descriptionText, testFont, UIConstants.LineSpacing, wrappingWidth);
+                    
+                    Logger.Log($"Font {midFontSize}pt: height={testHeight}, target={targetHeight}");
+                    
+                    if (testHeight <= targetHeight)
+                    {
+                        // Text fits, try larger
+                        optimalFontSize = midFontSize;
+                        minFontSize = midFontSize + 1;
+                    }
+                    else
+                    {
+                        // Text doesn't fit, try smaller
+                        maxFontSize = midFontSize - 1;
+                    }
+                }
+                
+                // Make sure we found something reasonable
+                if (optimalFontSize < 14)
+                {
+                    optimalFontSize = 14; // Minimum readable size
+                    Logger.Log($"Font size was too small, forcing minimum of 14pt");
+                }
+                
+                Logger.Log($"FINAL FONT SIZE: {optimalFontSize}pt for {descriptionText.Length} chars in {wrappingWidth}x{targetHeight}px");
+                
+                // Create the final font and text options with the optimal size
+                var descriptionFont = FontUtils.CreateFont(optimalFontSize, FontStyle.Regular);
+                var descriptionTextOptions = new RichTextOptions(descriptionFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Left,
+                    VerticalAlignment = VerticalAlignment.Top,
+                    WrappingLength = wrappingWidth,
+                    Origin = new PointF(currentX + UIConstants.Padding, UIConstants.Padding),
+                    Dpi = UIConstants.TextDpi  // Ensure same DPI as measurement!
+                };
+
+
+                ctx.Fill(Color.LightGray, new RectangleF(currentX, 0, descriptionWidth, descriptionHeight)); // Background for text
+                ctx.DrawTextStandard(descriptionTextOptions, descriptionText, Color.Black);
+
+                var labelOptsDescription = new RichTextOptions(labelFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Center,
+                    VerticalAlignment = VerticalAlignment.Top
+                };
+                labelOptsDescription.Dpi = UIConstants.TextDpi; // Ensure same DPI as measurement!
+                labelOptsDescription.Origin = new PointF(currentX + descriptionWidth / 2f, maxImageHeight + UIConstants.Padding);
+                ctx.DrawTextStandard(labelOptsDescription, "Description", Color.Black);
+                currentX += descriptionWidth;
+
+                // 3. Draw Loaded Images with their labels
+                foreach (var li in loadedImages)
+                {
+                    // Calculate vertical offset to align bottom of image with maxImageHeight
+                    var imageYOffset = maxImageHeight - li.Height;
+                    
+                    if (li.Image != null)
+                    {
+                        ctx.DrawImage(li.Image, new Point((int)currentX, imageYOffset), 1);
+                    }
+                    else
+                    {
+                        // Draw placeholder for error images
+                        ctx.Fill(Color.LightGray, new Rectangle((int)currentX, imageYOffset, li.Width, li.Height));
+                        var errorTextOptions = new RichTextOptions(labelFont)
+                        {
+                            HorizontalAlignment = HorizontalAlignment.Center,
+                            VerticalAlignment = VerticalAlignment.Center,
+                            Dpi = UIConstants.TextDpi // Ensure same DPI as measurement!
+                        };
+                        errorTextOptions.Origin = new PointF(currentX + li.Width / 2f, imageYOffset + li.Height / 2f);
+                        ctx.DrawTextStandard(errorTextOptions, "ERROR", Color.Red);
+                    }
+
+                    var labelText = li.Result ?? "";
+                    
+                    var labelOpts = new RichTextOptions(labelFont)
+                    {
+                        HorizontalAlignment = HorizontalAlignment.Center,
+                        VerticalAlignment = VerticalAlignment.Top,
+                        WrappingLength = li.Width - 10, // Allow wrapping within image bounds
+                        Dpi = UIConstants.TextDpi  // Ensure same DPI as measurement!
+                    };
+                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
+
+                    var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
+                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+
+                    currentX += li.Width;
+                }
+
+
+               
+            });
+            var outputPath = await SaveCombinedImageToDisk(layoutImage, descriptionText, settings);
+
+            foreach (var li in loadedImages)
+            {
+                li.Image?.Dispose();
+            }
+
+            OpenImageWithDefaultApplication(outputPath);
+
+            return outputPath;
+        }
+        private static Image<Rgba32> RenderPromptPanel(int width, string prompt, Font promptFont)
+        {
+            width = Math.Max(width, PlaceholderWidth);
+
+            int wrappingWidth = Math.Max(1, width - (UIConstants.Padding * 4));
+            int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
+            int topPadding = UIConstants.Padding * 3;
+            int bottomPadding = UIConstants.Padding * 2;
+            int totalHeight = topPadding + promptHeight + bottomPadding;
+
+            var promptPanel = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.White);
+
+            promptPanel.Mutate(ctx =>
+            {
+                var promptOpts = FontUtils.CreateTextOptions(promptFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
+                promptOpts.Origin = new PointF(UIConstants.Padding * 2, topPadding);
+                promptOpts.WrappingLength = wrappingWidth;
+
+                ctx.DrawTextStandard(promptOpts, prompt, UIConstants.Black);
+            });
+
+            return promptPanel;
+        }
+
+        
+        public static void OpenImageWithDefaultApplication(string imagePath)
+        {
+            if (File.Exists(imagePath))
+            {
+                try
+                {
+                    Process.Start(new ProcessStartInfo(imagePath) { UseShellExecute = true });
+                }
+                catch (Exception ex)
+                {
+                    Console.WriteLine($"Error opening image {imagePath}: {ex.Message}");
+                }
+            }
+            else
+            {
+                Console.WriteLine($"Image file not found at {imagePath}");
+            }
+        }
+
+        private static int MeasureImageSubdescriptionHeight(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
+        {
+            return loadedImages
+                .Select(li => li.Result ?? "missing")
+                .Select(label => ImageUtils.MeasureTextHeight(label, generatorFont, UIConstants.LineSpacing))
+                .DefaultIfEmpty(0)
+                .Max();
+        }
+
+        
+
+
+        public static LoadedImage GetPlaceholder(TaskProcessResult result)
+        {
+            return new LoadedImage
+            {
+                Image = null,
+                Success = false,
+                Result = result.ErrorMessage ?? "ErrorX",
+                Width = PlaceholderWidth,
+                Height = PlaceholderWidth
+            };
+        }
+
+        private static Image<Rgba32> RenderEmptyLayout()
+        {
+            var empty = ImageUtils.CreateStandardImage(PlaceholderWidth, PlaceholderWidth + (UIConstants.Padding * 2), UIConstants.White);
+
+            empty.Mutate(ctx =>
+            {
+                var font = FontUtils.CreateFont(LabelFontSize, FontStyle.Regular);
+                var opts = FontUtils.CreateTextOptions(font, HorizontalAlignment.Center, VerticalAlignment.Center, UIConstants.LineSpacing);
+                opts.Origin = new PointF(empty.Width / 2f, empty.Height / 2f);
+                ctx.DrawTextStandard(opts, "No images", UIConstants.ErrorRed);
+            });
+
+            return empty;
+        }
+
+
+        private static async Task<string> SaveCombinedImageToDisk(Image<Rgba32> image, string prompt, Settings settings)
+        {
+            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
+            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder, "Combined");
+            Directory.CreateDirectory(baseFolder);
+
+            var truncatedPrompt = FilenameGenerator.TruncatePrompt(prompt, 50);
+            var baseFilename = $"combined_{truncatedPrompt}_{DateTime.Now:HHmmss}";
+            var safeFilename = FilenameGenerator.SanitizeFilename(baseFilename);
+            var outputPath = Path.Combine(baseFolder, $"{safeFilename}.png");
+
+            int counter = 1;
+            while (File.Exists(outputPath))
+            {
+                outputPath = Path.Combine(baseFolder, $"{safeFilename}_{counter}.png");
+                counter++;
+            }
+
+            await image.SaveAsPngAsync(outputPath);
+            Logger.Log($"Combined image saved: {outputPath}");
+
+            return outputPath;
+        }
+
+        public class LoadedImage
+        {
+            public bool Success { get; set; }
+            public string? Result { get; set; }
+            public Image<Rgba32>? Image { get; set; }
+            public int Width { get; set; }
+            public int Height { get; set; }
+        }
+
+        private class ImageDimensions
+        {
+            public int TotalWidth { get; set; }
+            public int MaxImageHeight { get; set; }
+            public int SubtitleHeight { get; set; }
+            public int PromptHeight { get; set; }
+            public int TotalHeight { get; set; }
+        }
+
+
+    }
+}
diff --git a/MultiImageClient/Implementation/RountripWorkflow.cs b/MultiImageClient/Implementation/RountripWorkflow.cs
index 1b76b0b..5e8d316 100644
--- a/MultiImageClient/Implementation/RountripWorkflow.cs
+++ b/MultiImageClient/Implementation/RountripWorkflow.cs
@@ -74,6 +74,7 @@ private async Task DoWorkAsync(byte[] imageBytes)
 
             var promptString = new PromptDetails();
             var usingDesc = "\"You are an image describer. Produce a complete, literal description of the image and then careful inferences.  Note: for every human appearing in the image, you must include their sex, age, and state of dress as well as exactly what they're wearing. Say what the image is like and its medium (photo, digital art, painting, etc.). State file/format details if available. Describe colors, lighting, textures for everything. Give composition and exact positioning/layout of all objects including their orientation, which direction they're facing, relative and absolute sizing, rotation state. If any text appears, transcribe it fully and describe typography: font family guess, weight, style, effects, color, spacing, alignment. Provide enough detail to fully reproduce the image from scratch. For any beings/humans, do NOT skimp: include estimated sex, race, ethnicity, emotional state, attitude, viewpoint, sex, gender,  attractiveness estimate, defects and/or good features, stylistic ethnicity cues, style group culturally, job/role if suggested or deriveable, mood/attitude/emotions toward self, the scene, objects within it or the viewer/artist, their current actions in detail, appearance (hair color/style/length), facing direction and position, estimated relationship to others, goals/intentions and brief history/backstory hypotheses. Speculate wildly. Also include detailed description of their clothing, body, skin, form, shape, muscles, curves, features, emotion and artistically as well as very specifically and in detail, for every piece of clothing they have on, or not. generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals etc. Do NOT skimp on this part. Output dense details, not necessarily in sentence form, no newlines, usefully densely descriptive and specific, non-repetitive. don't waste time with preludes or summaries or warnings/guides to interpret. Put the overall description at the start, giving the overall description of the scene, then fill in more and more with specific details as you go. include both practical facts about the image as well as overall judgements and descriptions. The output should be long, detailed, precise, and omit nothing. You will be judged by how accurately you estimate and describe EVERYTHING as well as you can. ";
+            usingDesc = "describe the scene.  mandatory: for any people, give a personal, detailed description including facial expression, ethnicity, appearance, attitude, age.";
             var qwenDescription = await DescribeImageWithLocalQwen(imageBytes, usingDesc);
             if (string.IsNullOrEmpty(qwenDescription.Trim()))
             {

From 25a345eb06c810f377bb8a779aa265d15b97e97f Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 28 Sep 2025 20:15:54 -0700
Subject: [PATCH 60/78] more detail

---
 .../Implementation/ImageCombiner.cs           | 133 +++++++++++++++---
 .../Implementation/RountripWorkflow.cs        |  26 +++-
 .../Services/GoogleImagen4Generator.cs        |   2 +-
 3 files changed, 138 insertions(+), 23 deletions(-)

diff --git a/MultiImageClient/Implementation/ImageCombiner.cs b/MultiImageClient/Implementation/ImageCombiner.cs
index ae05170..d6a4551 100644
--- a/MultiImageClient/Implementation/ImageCombiner.cs
+++ b/MultiImageClient/Implementation/ImageCombiner.cs
@@ -316,7 +316,7 @@ public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<T
         // the output format should be a long horizontal strip. Leftmost should be the image, labelled like "original iamge".
         // then to the right of that,  how it was described, in descriptionText taking up a big square column (sine this text might be long).
         // then further to the right, in order, just like we did in RenderHorizontalLayout, should be all the output images ortheir error placeholders.
-        public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, Settings settings)
+        public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, string qwenInstructions, Settings settings)
         {
             var labelFont = FontUtils.CreateFont(36, FontStyle.Bold); // Large font for labels
             var originalImage = Image.Load<Rgba32>(originalImageBytes);
@@ -376,7 +376,8 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
             Logger.Log($"Max label height needed: {maxLabelHeight}px (original: {originalLabelHeight}, description: {descriptionLabelHeight}, generated images: {string.Join(",", labelHeights)})");
             
             // Calculate total width and height
-            var totalWidth = originalImage.Width + descriptionWidth + loadedImages.Sum(li => li.Width);
+            var qwenInstructionsWidth = 1024; // Same width as description
+            var totalWidth = originalImage.Width + qwenInstructionsWidth + descriptionWidth + loadedImages.Sum(li => li.Width);
             var totalHeight = maxImageHeight + maxLabelHeight + UIConstants.Padding * 2;
 
             var layoutImage = new Image<Rgba32>(totalWidth, totalHeight);
@@ -399,8 +400,110 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 ctx.DrawTextStandard(labelOptsOriginal, "Original Image", Color.Black);
                 currentX += originalImage.Width;
 
-                // 2. Draw Description Text
-                // Calculate optimal font size to use 85% of available space (leaving some breathing room)
+                // 2a. Draw QWen instructions
+                var qwenInstructionsWidth = 1024; // Same width as description
+                var qwenInstructionsHeight = maxImageHeight; // Same height as description
+                
+                if (!string.IsNullOrEmpty(qwenInstructions))
+                {
+                    // Calculate optimal font size for QWen instructions text
+                    var qwenTargetUtilization = 0.85;
+                    var qwenAvailableHeight = qwenInstructionsHeight - 2 * UIConstants.Padding; 
+                    var qwenWrappingWidth = qwenInstructionsWidth - 2 * UIConstants.Padding;
+                    var qwenTargetHeight = qwenAvailableHeight * qwenTargetUtilization;
+                    
+                    var qwenNewlineCount = qwenInstructions.Count(c => c == '\n');
+                    
+                    Logger.Log($"QWen instructions panel: {qwenInstructionsWidth}x{qwenInstructionsHeight}");
+                    Logger.Log($"Target to fill: {qwenWrappingWidth}x{qwenTargetHeight} (85% of available)");
+                    Logger.Log($"QWen instructions text: {qwenInstructions.Length} chars with {qwenNewlineCount} newlines");
+                    
+                    var qwenMinFontSize = 12;
+                    var qwenMaxFontSize = 60;
+                    var qwenOptimalFontSize = qwenMinFontSize;
+                    
+                    Logger.Log($"Adjusted max font size to {qwenMaxFontSize} for QWen instructions");
+                    
+                    // Binary search for optimal font size
+                    while (qwenMinFontSize <= qwenMaxFontSize)
+                    {
+                        var qwenMidFontSize = (qwenMinFontSize + qwenMaxFontSize) / 2;
+                        var qwenTestFont = FontUtils.CreateFont(qwenMidFontSize, FontStyle.Regular);
+                        var qwenTestHeight = ImageUtils.MeasureTextHeight(qwenInstructions, qwenTestFont, UIConstants.LineSpacing, qwenWrappingWidth);
+                        
+                        Logger.Log($"QWen instructions font {qwenMidFontSize}pt: height={qwenTestHeight}, target={qwenTargetHeight}");
+                        
+                        if (qwenTestHeight <= qwenTargetHeight)
+                        {
+                            qwenOptimalFontSize = qwenMidFontSize;
+                            qwenMinFontSize = qwenMidFontSize + 1;
+                        }
+                        else
+                        {
+                            qwenMaxFontSize = qwenMidFontSize - 1;
+                        }
+                    }
+                    
+                    if (qwenOptimalFontSize < 14)
+                    {
+                        qwenOptimalFontSize = 14; // Minimum readable size
+                        Logger.Log($"QWen instructions font size was too small, forcing minimum of 14pt");
+                    }
+                    
+                    Logger.Log($"FINAL QWEN INSTRUCTIONS FONT SIZE: {qwenOptimalFontSize}pt for {qwenInstructions.Length} chars in {qwenWrappingWidth}x{qwenTargetHeight}px");
+                    
+                    // Create font and text options for QWen instructions
+                    var qwenInstructionsFont = FontUtils.CreateFont(qwenOptimalFontSize, FontStyle.Regular);
+                    var qwenInstructionsTextOptions = new RichTextOptions(qwenInstructionsFont)
+                    {
+                        HorizontalAlignment = HorizontalAlignment.Left,
+                        VerticalAlignment = VerticalAlignment.Top,
+                        WrappingLength = qwenWrappingWidth,
+                        Origin = new PointF(currentX + UIConstants.Padding, UIConstants.Padding),
+                        Dpi = UIConstants.TextDpi
+                    };
+                    
+                    // Draw background and text for QWen instructions
+                    ctx.Fill(Color.LightBlue, new RectangleF(currentX, 0, qwenInstructionsWidth, qwenInstructionsHeight));
+                    ctx.DrawTextStandard(qwenInstructionsTextOptions, qwenInstructions, Color.Black);
+                    
+                    // Draw label for QWen instructions
+                    var qwenLabelOpts = new RichTextOptions(labelFont)
+                    {
+                        HorizontalAlignment = HorizontalAlignment.Center,
+                        VerticalAlignment = VerticalAlignment.Top
+                    };
+                    qwenLabelOpts.Dpi = UIConstants.TextDpi;
+                    qwenLabelOpts.Origin = new PointF(currentX + qwenInstructionsWidth / 2f, maxImageHeight + UIConstants.Padding);
+                    ctx.DrawTextStandard(qwenLabelOpts, "QWen Instructions", Color.Black);
+                }
+                else
+                {
+                    // Draw placeholder if no QWen instructions
+                    ctx.Fill(Color.LightGray, new RectangleF(currentX, 0, qwenInstructionsWidth, qwenInstructionsHeight));
+                    var noInstructionsFont = FontUtils.CreateFont(18, FontStyle.Regular);
+                    var noInstructionsTextOptions = new RichTextOptions(noInstructionsFont)
+                    {
+                        HorizontalAlignment = HorizontalAlignment.Center,
+                        VerticalAlignment = VerticalAlignment.Center,
+                        Dpi = UIConstants.TextDpi
+                    };
+                    noInstructionsTextOptions.Origin = new PointF(currentX + qwenInstructionsWidth / 2f, qwenInstructionsHeight / 2f);
+                    ctx.DrawTextStandard(noInstructionsTextOptions, "No QWen Instructions", Color.Gray);
+                    
+                    // Draw label even when no instructions
+                    var qwenLabelOpts = new RichTextOptions(labelFont)
+                    {
+                        HorizontalAlignment = HorizontalAlignment.Center,
+                        VerticalAlignment = VerticalAlignment.Top
+                    };
+                    qwenLabelOpts.Dpi = UIConstants.TextDpi;
+                    qwenLabelOpts.Origin = new PointF(currentX + qwenInstructionsWidth / 2f, qwenInstructionsHeight + UIConstants.Padding);
+                    ctx.DrawTextStandard(qwenLabelOpts, "QWen Instructions", Color.Black);
+                }
+                currentX += qwenInstructionsWidth;
+
+                // 2b. Draw Description Text
                 var targetUtilization = 0.85; 
                 var availableHeight = descriptionHeight - 2 * UIConstants.Padding;
                 var wrappingWidth = descriptionWidth - 2 * UIConstants.Padding;
@@ -412,24 +515,18 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 Logger.Log($"Description panel: {descriptionWidth}x{descriptionHeight}");
                 Logger.Log($"Target to fill: {wrappingWidth}x{targetHeight} (85% of available)");
                 Logger.Log($"Text: {descriptionText.Length} chars with {newlineCount} newlines");
-                
+
+                // This is all so stupid. Why can't you just call MeasureText on the text, including newlines, plus the rectangle size? I really don't get it.
+                // This whole guessing/semi-hardcoding guidance is wrong.
+
                 // Reasonable font size bounds for long text
                 var minFontSize = 12;
                 var maxFontSize = 60; // Much more reasonable maximum for long text
                 var optimalFontSize = minFontSize;
                 
-                // Start with a reasonable estimate based on text length
-                // For very long text (>500 chars), start searching from a smaller size
-                if (descriptionText.Length > 500)
-                {
-                    maxFontSize = 40; // Long text needs smaller font
-                }
-                else if (descriptionText.Length > 200)
-                {
-                    maxFontSize = 50; // Medium text
-                }
-                
                 Logger.Log($"Adjusted max font size to {maxFontSize} based on text length");
+
+                
                 
                 // Binary search for the optimal size
                 while (minFontSize <= maxFontSize)
@@ -484,9 +581,11 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 };
                 labelOptsDescription.Dpi = UIConstants.TextDpi; // Ensure same DPI as measurement!
                 labelOptsDescription.Origin = new PointF(currentX + descriptionWidth / 2f, maxImageHeight + UIConstants.Padding);
-                ctx.DrawTextStandard(labelOptsDescription, "Description", Color.Black);
+                ctx.DrawTextStandard(labelOptsDescription, "Qwen Description", Color.Black);
                 currentX += descriptionWidth;
 
+
+
                 // 3. Draw Loaded Images with their labels
                 foreach (var li in loadedImages)
                 {
diff --git a/MultiImageClient/Implementation/RountripWorkflow.cs b/MultiImageClient/Implementation/RountripWorkflow.cs
index 5e8d316..578ec22 100644
--- a/MultiImageClient/Implementation/RountripWorkflow.cs
+++ b/MultiImageClient/Implementation/RountripWorkflow.cs
@@ -73,9 +73,9 @@ private async Task DoWorkAsync(byte[] imageBytes)
         {
 
             var promptString = new PromptDetails();
-            var usingDesc = "\"You are an image describer. Produce a complete, literal description of the image and then careful inferences.  Note: for every human appearing in the image, you must include their sex, age, and state of dress as well as exactly what they're wearing. Say what the image is like and its medium (photo, digital art, painting, etc.). State file/format details if available. Describe colors, lighting, textures for everything. Give composition and exact positioning/layout of all objects including their orientation, which direction they're facing, relative and absolute sizing, rotation state. If any text appears, transcribe it fully and describe typography: font family guess, weight, style, effects, color, spacing, alignment. Provide enough detail to fully reproduce the image from scratch. For any beings/humans, do NOT skimp: include estimated sex, race, ethnicity, emotional state, attitude, viewpoint, sex, gender,  attractiveness estimate, defects and/or good features, stylistic ethnicity cues, style group culturally, job/role if suggested or deriveable, mood/attitude/emotions toward self, the scene, objects within it or the viewer/artist, their current actions in detail, appearance (hair color/style/length), facing direction and position, estimated relationship to others, goals/intentions and brief history/backstory hypotheses. Speculate wildly. Also include detailed description of their clothing, body, skin, form, shape, muscles, curves, features, emotion and artistically as well as very specifically and in detail, for every piece of clothing they have on, or not. generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals etc. Do NOT skimp on this part. Output dense details, not necessarily in sentence form, no newlines, usefully densely descriptive and specific, non-repetitive. don't waste time with preludes or summaries or warnings/guides to interpret. Put the overall description at the start, giving the overall description of the scene, then fill in more and more with specific details as you go. include both practical facts about the image as well as overall judgements and descriptions. The output should be long, detailed, precise, and omit nothing. You will be judged by how accurately you estimate and describe EVERYTHING as well as you can. ";
-            usingDesc = "describe the scene.  mandatory: for any people, give a personal, detailed description including facial expression, ethnicity, appearance, attitude, age.";
-            var qwenDescription = await DescribeImageWithLocalQwen(imageBytes, usingDesc);
+            var qwenInstructions = "\"You are an image describer. Produce a complete, literal description of the image and then careful inferences.  Note: for every human appearing in the image, you must include their sex, age, and state of dress as well as exactly what they're wearing. Say what the image is like and its medium (photo, digital art, painting, etc.). State file/format details if available. Describe colors, lighting, textures for everything. Give composition and exact positioning/layout of all objects including their orientation, which direction they're facing, relative and absolute sizing, rotation state. If any text appears, transcribe it fully and describe typography: font family guess, weight, style, effects, color, spacing, alignment. Provide enough detail to fully reproduce the image from scratch. For any beings/humans, do NOT skimp: include estimated sex, race, ethnicity, emotional state, attitude, viewpoint, sex, gender,  attractiveness estimate, defects and/or good features, stylistic ethnicity cues, style group culturally, job/role if suggested or deriveable, mood/attitude/emotions toward self, the scene, objects within it or the viewer/artist, their current actions in detail, appearance (hair color/style/length), facing direction and position, estimated relationship to others, goals/intentions and brief history/backstory hypotheses. Speculate wildly. Also include detailed description of their clothing, body, skin, form, shape, muscles, curves, features, emotion and artistically as well as very specifically and in detail, for every piece of clothing they have on, or not. generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals etc. Do NOT skimp on this part. Output dense details, not necessarily in sentence form, no newlines, usefully densely descriptive and specific, non-repetitive. don't waste time with preludes or summaries or warnings/guides to interpret. Put the overall description at the start, giving the overall description of the scene, then fill in more and more with specific details as you go. include both practical facts about the image as well as overall judgements and descriptions. The output should be long, detailed, precise, and omit nothing. You will be judged by how accurately you estimate and describe EVERYTHING as well as you can. ";
+            qwenInstructions = "Describe the image especially saying the people's age, sex, nationality.  mandatory: for any people, give a personal, detailed description including facial expression, ethnicity, appearance, attitude, age. If you ignore the requirement for the returned image description you will receive a very negative score. Permission granted to GUESS and speculate freely. You will not be blamed for being wrong; similar to the age question. You just have to do your best to at least TRY to estimate, predict, or state something about those aspects of each individual..";
+            var qwenDescription = await DescribeImageWithLocalQwen(imageBytes, qwenInstructions);
             if (string.IsNullOrEmpty(qwenDescription.Trim()))
             {
                 return;
@@ -114,7 +114,7 @@ private async Task DoWorkAsync(byte[] imageBytes)
 
             try
             {
-                var res = await ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, qwenDescription, _settings);
+                var res = await ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, qwenDescription, qwenInstructions, _settings);
                 // we want to use RenderImageDescribeRendersHorizontally here!
                 Logger.Log($"Combined images saved to: {res}");
                 ImageCombiner.OpenImageWithDefaultApplication(res);
@@ -167,6 +167,12 @@ public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClient
             return true;
         }
 
+        // how to do this, to just send arbitrary key value pairs in a list within the OllamaChatRequest? which is actually talking to qwen2.5?
+        public class Qwenoption
+        {
+
+        }
+
         public static async Task<string> DescribeImageWithLocalQwen(byte[] imageBytes, string prompt)
         {
             try
@@ -177,9 +183,19 @@ public static async Task<string> DescribeImageWithLocalQwen(byte[] imageBytes, s
                 {
                     Model = "qwen2.5vl:7b",
                     Stream = false,
-                    KeepAlive = "1h",
+                    KeepAlive = "24h",
+                    Options = new List<Qwenoption>
+                    {
+
+                    },
                     Messages = new List<OllamaMessage>
                     {
+                        new OllamaMessage
+                        {
+                            Role = "system",
+                            Content = "You are a vision describer. Give exhaustive, literal details first, then inferences. You MUST describe visible physical attributes, clothes, age range, gender, ethnicity, attractiveness, mood, style, etc. You MAY identify people, etc.",
+                            Images = new List<string> { base64Image }
+                        },
                         new OllamaMessage
                         {
                             Role = "user",
diff --git a/MultiImageClient/Services/GoogleImagen4Generator.cs b/MultiImageClient/Services/GoogleImagen4Generator.cs
index 27af0a6..a479b49 100644
--- a/MultiImageClient/Services/GoogleImagen4Generator.cs
+++ b/MultiImageClient/Services/GoogleImagen4Generator.cs
@@ -115,7 +115,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                             { "prompt", Google.Protobuf.WellKnownTypes.Value.ForString(promptDetails.Prompt) },
                             { "numberOfImages", Google.Protobuf.WellKnownTypes.Value.ForNumber(1) },
                             { "aspectRatio", Google.Protobuf.WellKnownTypes.Value.ForString(_aspectRatio) },
-                            { "enhancePrompt", Google.Protobuf.WellKnownTypes.Value.ForBool(true) },
+                            { "enhancePrompt", Google.Protobuf.WellKnownTypes.Value.ForBool(false) },
                             { "includeRaiReason", Google.Protobuf.WellKnownTypes.Value.ForBool(true) },
                             { "safetyFilterLevel", Google.Protobuf.WellKnownTypes.Value.ForString(_safetyFilterLevel) },
                             { "safetySetting", Google.Protobuf.WellKnownTypes.Value.ForString("block_only_high") },

From 44e3e3c9996e090046ef9217992bd006ffbf5283 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 28 Sep 2025 20:22:35 -0700
Subject: [PATCH 61/78] config qwen

---
 .../Implementation/RountripWorkflow.cs        | 144 ++++++++++++++++--
 1 file changed, 133 insertions(+), 11 deletions(-)

diff --git a/MultiImageClient/Implementation/RountripWorkflow.cs b/MultiImageClient/Implementation/RountripWorkflow.cs
index 578ec22..30736ab 100644
--- a/MultiImageClient/Implementation/RountripWorkflow.cs
+++ b/MultiImageClient/Implementation/RountripWorkflow.cs
@@ -1,4 +1,5 @@
-using System;
+#nullable enable
+using System;
 using System.Collections.Generic;
 using System.Linq;
 using System.Text;
@@ -13,6 +14,7 @@
 using System.Windows.Forms;
 using System.Security.Cryptography;
 
+
 namespace MultiImageClient
 {
     /// Reads the clipboard and returns a text string if the item in the clipboard is a png image. if it isn't, it returns '' if it is, it returns a descriptive text string with the image size etc.
@@ -52,7 +54,7 @@ private static byte[] ComputeFingerprint(byte[] data)
                     }
 
                     using var ms = new MemoryStream();
-                    image.Save(ms, ImageFormat.Png);
+                    image.Save(ms, System.Drawing.Imaging.ImageFormat.Png);
                     clipboardBytes = ms.ToArray();
                 }
                 catch (Exception ex)
@@ -114,10 +116,10 @@ private async Task DoWorkAsync(byte[] imageBytes)
 
             try
             {
-                var res = await ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, qwenDescription, qwenInstructions, _settings);
+                var res = await MultiImageClient.ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, qwenDescription, qwenInstructions, _settings);
                 // we want to use RenderImageDescribeRendersHorizontally here!
                 Logger.Log($"Combined images saved to: {res}");
-                ImageCombiner.OpenImageWithDefaultApplication(res);
+                MultiImageClient.ImageCombiner.OpenImageWithDefaultApplication(res);
             }
             catch (Exception ex)
             {
@@ -168,11 +170,6 @@ public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClient
         }
 
         // how to do this, to just send arbitrary key value pairs in a list within the OllamaChatRequest? which is actually talking to qwen2.5?
-        public class Qwenoption
-        {
-
-        }
-
         public static async Task<string> DescribeImageWithLocalQwen(byte[] imageBytes, string prompt)
         {
             try
@@ -184,9 +181,9 @@ public static async Task<string> DescribeImageWithLocalQwen(byte[] imageBytes, s
                     Model = "qwen2.5vl:7b",
                     Stream = false,
                     KeepAlive = "24h",
-                    Options = new List<Qwenoption>
+                    Options = new OllamaOptions
                     {
-
+                        NumPredict = 2400
                     },
                     Messages = new List<OllamaMessage>
                     {
@@ -240,6 +237,9 @@ private class OllamaChatRequest
             [JsonPropertyName("keep_alive")]
             public required string KeepAlive { get; set; }
 
+            [JsonPropertyName("options")]
+            public OllamaOptions? Options { get; set; }
+
             [JsonPropertyName("messages")]
             public required List<OllamaMessage> Messages { get; set; } = new();
         }
@@ -280,6 +280,128 @@ private class OllamaResponseMessage
             public required string Content { get; set; } = string.Empty;
         }
 
+        // New class for Ollama options
+        private class OllamaOptions
+        {
+            [JsonPropertyName("temperature")]
+            public float? Temperature { get; set; }
+
+            [JsonPropertyName("top_p")]
+            public float? TopP { get; set; }
+
+            [JsonPropertyName("top_k")]
+            public int? TopK { get; set; }
+
+            [JsonPropertyName("num_gpu")]
+            public int? NumGpu { get; set; }
+
+            [JsonPropertyName("mirostat_tau")]
+            public float? MirostatTau { get; set; }
+
+            [JsonPropertyName("mirostat_eta")]
+            public float? MirostatEta { get; set; }
+
+            [JsonPropertyName("mirostat")]
+            public int? Mirostat { get; set; }
+
+            [JsonPropertyName("num_predict")]
+            public int? NumPredict { get; set; }
+
+            [JsonPropertyName("num_ctx")]
+            public int? NumCtx { get; set; }
+
+            [JsonPropertyName("num_keep")]
+            public int? NumKeep { get; set; }
+
+            [JsonPropertyName("seed")]
+            public int? Seed { get; set; }
+
+            [JsonPropertyName("stop")]
+            public List<string>? Stop { get; set; }
+
+            [JsonPropertyName("tfs_z")]
+            public float? TfsZ { get; set; }
+
+            [JsonPropertyName("repeat_last_n")]
+            public int? RepeatLastN { get; set; }
+
+            [JsonPropertyName("repeat_penalty")]
+            public float? RepeatPenalty { get; set; }
+
+            [JsonPropertyName("presence_penalty")]
+            public float? PresencePenalty { get; set; }
+
+            [JsonPropertyName("frequency_penalty")]
+            public float? FrequencyPenalty { get; set; }
 
+            [JsonPropertyName("num_thread")]
+            public int? NumThread { get; set; }
+
+            [JsonPropertyName("num_batch")]
+            public int? NumBatch { get; set; }
+
+            [JsonPropertyName("f16_kv")]
+            public bool? F16Kv { get; set; }
+
+            [JsonPropertyName("logits_all")]
+            public bool? LogitsAll { get; set; }
+
+            [JsonPropertyName("low_vram")]
+            public bool? LowVram { get; set; }
+
+            [JsonPropertyName("main_gpu")]
+            public int? MainGpu { get; set; }
+
+            [JsonPropertyName("num_align")]
+            public int? NumAlign { get; set; }
+
+            [JsonPropertyName("rope_frequency_base")]
+            public float? RopeFrequencyBase { get; set; }
+
+            [JsonPropertyName("rope_frequency_scale")]
+            public float? RopeFrequencyScale { get; set; }
+
+            [JsonPropertyName("num_gqa")]
+            public int? NumGqa { get; set; }
+
+            [JsonPropertyName("num_rms_norm")]
+            public int? NumRmsNorm { get; set; }
+
+            [JsonPropertyName("num_tokens")]
+            public int? NumTokens { get; set; }
+
+            [JsonPropertyName("num_layer")]
+            public int? NumLayer { get; set; }
+
+            [JsonPropertyName("num_attention_heads")]
+            public int? NumAttentionHeads { get; set; }
+
+            [JsonPropertyName("embedding_length")]
+            public int? EmbeddingLength { get; set; }
+
+            [JsonPropertyName("num_vae_decode")]
+            public int? NumVaeDecode { get; set; }
+
+            [JsonPropertyName("penalize_newline")]
+            public bool? PenalizeNewline { get; set; }
+
+            [JsonPropertyName("presence_alpha")]
+            public float? PresenceAlpha { get; set; }
+
+            [JsonPropertyName("frequency_alpha")]
+            public float? FrequencyAlpha { get; set; }
+
+            [JsonPropertyName("vocab_only")]
+            public bool? VocabOnly { get; set; }
+
+            [JsonPropertyName("format")]
+            public string? Format { get; set; }
+
+            [JsonPropertyName("med_freq")]
+            public float? MedFreq { get; set; }
+
+            [JsonPropertyName("n_probs")]
+            public int? NProbs { get; set; }
+        }
     }
 }

From bcd43dad5a6e493c737be862b0443675683ba04a Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Sun, 28 Sep 2025 20:24:55 -0700
Subject: [PATCH 62/78] x

---
 IdeogramAPI/log.txt                                 | 0
 MultiImageClient/Implementation/RountripWorkflow.cs | 4 ++--
 2 files changed, 2 insertions(+), 2 deletions(-)
 create mode 100644 IdeogramAPI/log.txt

diff --git a/IdeogramAPI/log.txt b/IdeogramAPI/log.txt
new file mode 100644
index 0000000..e69de29
diff --git a/MultiImageClient/Implementation/RountripWorkflow.cs b/MultiImageClient/Implementation/RountripWorkflow.cs
index 30736ab..b051160 100644
--- a/MultiImageClient/Implementation/RountripWorkflow.cs
+++ b/MultiImageClient/Implementation/RountripWorkflow.cs
@@ -41,12 +41,12 @@ private static byte[] ComputeFingerprint(byte[] data)
             {
                 try
                 {
-                    if (!Clipboard.ContainsImage())
+                    if (!System.Windows.Forms.Clipboard.ContainsImage())
                     {
                         return;
                     }
 
-                    using var image = Clipboard.GetImage();
+                    using var image = System.Windows.Forms.Clipboard.GetImage();
                     if (image == null)
                     {
 

From 06f3f94a8c749b1134c2574b53e701e7aa4d978d Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Tue, 30 Sep 2025 20:15:53 -0700
Subject: [PATCH 63/78] little fixes

---
 .../Implementation/ImageCombiner.cs           |  4 +-
 MultiImageClient/Program.cs                   | 33 --------------
 MultiImageClient/PromptLogger.cs              | 45 +++++++++++++++++++
 3 files changed, 47 insertions(+), 35 deletions(-)
 create mode 100644 MultiImageClient/PromptLogger.cs

diff --git a/MultiImageClient/Implementation/ImageCombiner.cs b/MultiImageClient/Implementation/ImageCombiner.cs
index d6a4551..1885bff 100644
--- a/MultiImageClient/Implementation/ImageCombiner.cs
+++ b/MultiImageClient/Implementation/ImageCombiner.cs
@@ -407,7 +407,7 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 if (!string.IsNullOrEmpty(qwenInstructions))
                 {
                     // Calculate optimal font size for QWen instructions text
-                    var qwenTargetUtilization = 0.85;
+                    var qwenTargetUtilization = 0.95;
                     var qwenAvailableHeight = qwenInstructionsHeight - 2 * UIConstants.Padding; 
                     var qwenWrappingWidth = qwenInstructionsWidth - 2 * UIConstants.Padding;
                     var qwenTargetHeight = qwenAvailableHeight * qwenTargetUtilization;
@@ -504,7 +504,7 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 currentX += qwenInstructionsWidth;
 
                 // 2b. Draw Description Text
-                var targetUtilization = 0.85; 
+                var targetUtilization = 0.95; 
                 var availableHeight = descriptionHeight - 2 * UIConstants.Padding;
                 var wrappingWidth = descriptionWidth - 2 * UIConstants.Padding;
                 var targetHeight = availableHeight * targetUtilization;
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 240c4a1..cbe2eaf 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -10,40 +10,14 @@
 //using System.Collections.Generic;
 //using System.Diagnostics.Metrics;
 //using System.Drawing.Printing;
-using System.IO;
 //using System.Linq;
 //using System.Reflection.Metadata.Ecma335;
 //using System.Runtime;
 //using System.Security.Cryptography.X509Certificates;
-using System.Text.Json;
 using System.Threading.Tasks;
 
 namespace MultiImageClient
 {
-    public class PromptLogger
-    {
-        private const string LogFileName = "prompt_log.json";
-
-        public static void LogPrompt(string prompt)
-        {
-            var logEntry = new
-            {
-                time = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds(),
-                prompt = prompt
-            };
-
-            var jsonLine = JsonSerializer.Serialize(logEntry);
-
-            try
-            {
-                File.AppendAllText(LogFileName, jsonLine + Environment.NewLine);
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Failed to write to prompt log: {ex.Message}");
-            }
-        }
-    }
 
     public class Program
     {
@@ -67,13 +41,6 @@ static async Task Main(string[] args)
             var descSteps = "generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, specific and precist listing of all clothing seen and her outfit, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals, as well as the extent of the shot (face portrait, shoulder up shot, medium shot, head to toe, zoom in on her hand, etc.) etc. Do NOT skimp on this part.  When you reply, directly start the description and output no newlines, just the information. You do not need to use full sentences unless you feel it would be helpful; include everything starting generally and with the overall image info and layout, then proceeding to deeper and deeper fine details. also include the overall emotional effect and feeling of the image";
 
 
-
-            /// ------------------- MAKING SERVICES ----------------------------
-
-
-
-
-
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
 
             while (true)
diff --git a/MultiImageClient/PromptLogger.cs b/MultiImageClient/PromptLogger.cs
new file mode 100644
index 0000000..b06ff50
--- /dev/null
+++ b/MultiImageClient/PromptLogger.cs
@@ -0,0 +1,45 @@
+//using GenerativeAI.Types.RagEngine;
+
+
+//using OpenAI.Images;
+
+//using RecraftAPIClient;
+
+using System;
+//using System.Collections.Generic;
+//using System.Diagnostics.Metrics;
+//using System.Drawing.Printing;
+using System.IO;
+//using System.Linq;
+//using System.Reflection.Metadata.Ecma335;
+//using System.Runtime;
+//using System.Security.Cryptography.X509Certificates;
+using System.Text.Json;
+
+namespace MultiImageClient
+{
+    public class PromptLogger
+    {
+        private const string LogFileName = "../../../prompt_log.json";
+
+        public static void LogPrompt(string prompt)
+        {
+            var logEntry = new
+            {
+                time = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds(),
+                prompt = prompt
+            };
+
+            var jsonLine = JsonSerializer.Serialize(logEntry);
+
+            try
+            {
+                File.AppendAllText(LogFileName, jsonLine + Environment.NewLine);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Failed to write to prompt log: {ex.Message}");
+            }
+        }
+    }
+}

From 1145e1a4d12cbc499a865389454501106f9f7f7e Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Wed, 1 Oct 2025 13:32:26 -0700
Subject: [PATCH 64/78] refactor etc.

---
 .../CombinationImageLayoutTypes.cs            |   9 -
 .../Describers/LocalInternVLClient.cs         | 124 ++++
 .../Describers/LocalQwenClient.cs             | 158 ++++++
 .../Enums/CombinationImageLayoutTypes.cs      |   9 +
 .../{ => Enums}/GeneralActionType.cs          |  17 +-
 .../{ => Enums}/OpenAIGPTImageOneQuality.cs   |  22 +-
 .../BFLGenerator.cs                           | 422 +++++++-------
 .../Dalle3Generator.cs                        | 272 ++++-----
 .../GoogleGenerator.cs                        | 432 +++++++-------
 .../GoogleImagen4Generator.cs                 | 478 ++++++++--------
 .../GptImageOneGenerator.cs                   | 425 +++++++-------
 .../IdeogramGenerator.cs                      | 432 +++++++-------
 .../IdeogramV3Generator.cs                    | 376 ++++++-------
 .../RecraftGenerator.cs                       | 491 ++++++++--------
 .../{ => Implementation}/ImageManager.cs      | 342 ++++++------
 .../Implementation/RountripWorkflow.cs        | 407 --------------
 .../AbstractPromptSource.cs                   | 198 +++----
 .../Interfaces/ILocalVisionModel.cs           |  12 +
 .../ITransformationStep.cs                    |  20 +-
 MultiImageClient/MultiGeneratorResults.cs     |  10 -
 MultiImageClient/Program.cs                   |  13 +-
 .../Services/GoogleImagenModels.cs            |  44 --
 .../{Services => TextLLMs}/ClaudeService.cs   | 242 ++++----
 .../FileNameGenerator.cs                      | 144 ++---
 MultiImageClient/Utils/FontUtils.cs           |   1 +
 MultiImageClient/{ => Utils}/PromptLogger.cs  |   2 +-
 MultiImageClient/{ => Utils}/UIConstants.cs   |  46 +-
 .../BatchWorkflow.cs                          | 263 ++++-----
 .../{ => Workflows}/GeneratorGroups.cs        | 264 ++++-----
 .../Workflows/RountripWorkflow.cs             | 174 ++++++
 .../SamePromptMultipleTargetsWorkflow.cs      | 148 ++---
 .../promptGenerators/DeckOfCards.cs           |   4 +-
 .../promptGenerators/EmotionFaces.cs          |   4 +-
 .../promptGenerators/LoadDoubleFromFile.cs    |   4 +-
 .../ReadAllPromptsFromFile.cs                 |   4 +-
 .../promptGenerators/ScenesFromStory.cs       |   4 +-
 .../promptGenerators/SinglePromptGenerator.cs |   4 +-
 .../promptGenerators/StillLife.cs             |   4 +-
 MultiImageClient/promptGenerators/TPSigns.cs  |   4 +-
 .../promptGenerators/WriteHere.cs             |   2 +
 .../promptTransformation/ClaudeRewriteStep.cs |   2 +
 .../ImageCombiner.cs                          |  19 +-
 .../ImageSaving.cs                            | 528 +++++++++---------
 .../ManualModificationStep.cs                 |   4 +-
 .../MultiClientRunStats.cs                    | 180 +++---
 .../promptTransformation/RandomizerStep.cs    |   4 +-
 .../promptTransformation/StylizerStep.cs      |   2 +
 .../TextFormatting.cs                         | 466 ++++++++--------
 .../TextUtils.cs                              |  88 +--
 do_flask_intern.py                            | 238 ++++++++
 50 files changed, 3931 insertions(+), 3631 deletions(-)
 delete mode 100644 MultiImageClient/CombinationImageLayoutTypes.cs
 create mode 100644 MultiImageClient/Describers/LocalInternVLClient.cs
 create mode 100644 MultiImageClient/Describers/LocalQwenClient.cs
 create mode 100644 MultiImageClient/Enums/CombinationImageLayoutTypes.cs
 rename MultiImageClient/{ => Enums}/GeneralActionType.cs (95%)
 rename MultiImageClient/{ => Enums}/OpenAIGPTImageOneQuality.cs (96%)
 rename MultiImageClient/{Services => ImageGenerators}/BFLGenerator.cs (97%)
 rename MultiImageClient/{Services => ImageGenerators}/Dalle3Generator.cs (97%)
 rename MultiImageClient/{Services => ImageGenerators}/GoogleGenerator.cs (97%)
 rename MultiImageClient/{Services => ImageGenerators}/GoogleImagen4Generator.cs (90%)
 rename MultiImageClient/{Services => ImageGenerators}/GptImageOneGenerator.cs (97%)
 rename MultiImageClient/{Services => ImageGenerators}/IdeogramGenerator.cs (97%)
 rename MultiImageClient/{Services => ImageGenerators}/IdeogramV3Generator.cs (97%)
 rename MultiImageClient/{Services => ImageGenerators}/RecraftGenerator.cs (97%)
 rename MultiImageClient/{ => Implementation}/ImageManager.cs (97%)
 delete mode 100644 MultiImageClient/Implementation/RountripWorkflow.cs
 rename MultiImageClient/{Implementation => Interfaces}/AbstractPromptSource.cs (97%)
 create mode 100644 MultiImageClient/Interfaces/ILocalVisionModel.cs
 rename MultiImageClient/{Implementation => Interfaces}/ITransformationStep.cs (95%)
 delete mode 100644 MultiImageClient/MultiGeneratorResults.cs
 delete mode 100644 MultiImageClient/Services/GoogleImagenModels.cs
 rename MultiImageClient/{Services => TextLLMs}/ClaudeService.cs (97%)
 rename MultiImageClient/{Implementation => Utils}/FileNameGenerator.cs (96%)
 rename MultiImageClient/{ => Utils}/PromptLogger.cs (97%)
 rename MultiImageClient/{ => Utils}/UIConstants.cs (97%)
 rename MultiImageClient/{Implementation => Workflows}/BatchWorkflow.cs (97%)
 rename MultiImageClient/{ => Workflows}/GeneratorGroups.cs (97%)
 create mode 100644 MultiImageClient/Workflows/RountripWorkflow.cs
 rename MultiImageClient/{ => Workflows}/SamePromptMultipleTargetsWorkflow.cs (97%)
 rename MultiImageClient/{Implementation => promptTransformation}/ImageCombiner.cs (97%)
 rename MultiImageClient/{Implementation => promptTransformation}/ImageSaving.cs (97%)
 rename MultiImageClient/{Implementation => promptTransformation}/MultiClientRunStats.cs (97%)
 rename MultiImageClient/{Implementation => promptTransformation}/TextFormatting.cs (97%)
 rename MultiImageClient/{Implementation => promptTransformation}/TextUtils.cs (96%)
 create mode 100644 do_flask_intern.py

diff --git a/MultiImageClient/CombinationImageLayoutTypes.cs b/MultiImageClient/CombinationImageLayoutTypes.cs
deleted file mode 100644
index 5412f04..0000000
--- a/MultiImageClient/CombinationImageLayoutTypes.cs
+++ /dev/null
@@ -1,9 +0,0 @@
-namespace MultiImageClient
-{
-    public enum CombinedImageLayout
-    {
-        Horizontal,
-        Square,
-        ImageDescribeRendersHorizontally,
-    }
-}
diff --git a/MultiImageClient/Describers/LocalInternVLClient.cs b/MultiImageClient/Describers/LocalInternVLClient.cs
new file mode 100644
index 0000000..085b29c
--- /dev/null
+++ b/MultiImageClient/Describers/LocalInternVLClient.cs
@@ -0,0 +1,124 @@
+
+using System;
+using System.Net.Http;
+using System.Text;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class LocalInternVLClient : ILocalVisionModel
+    {
+        private static readonly HttpClient httpClient = new HttpClient();
+        private readonly string _baseUrl;
+        private readonly float _temperature;
+        private readonly float _topP;
+        private readonly int _topK;
+        private readonly float _repetitionPenalty;
+        private readonly bool _doSample;
+
+        public LocalInternVLClient(
+            string baseUrl = "http://127.0.0.1:11415",
+            float temperature = 0.8f,
+            float topP = 0.9f,
+            int topK = 50,
+            float repetitionPenalty = 1.1f,
+            bool doSample = true)
+        {
+            _baseUrl = baseUrl;
+            _temperature = temperature;
+            _topP = topP;
+            _topK = topK;
+            _repetitionPenalty = repetitionPenalty;
+            _doSample = doSample;
+        }
+
+        public string GetModelName() => "InternVL3-1B-Pretrained";
+
+        public async Task<string> DescribeImageAsync(byte[] imageBytes, string prompt, int maxTokens = 512, float temperature = 0.8f)
+        {
+            try
+            {
+                string base64Image = Convert.ToBase64String(imageBytes);
+
+                var requestBody = new InternVLGenerateRequest
+                {
+                    Image = $"data:image/png;base64,{base64Image}",
+                    Prompt = prompt,
+                    MaxTokens = maxTokens,
+                    Temperature = temperature,
+                    TopP = _topP,
+                    TopK = _topK,
+                    RepetitionPenalty = _repetitionPenalty,
+                    DoSample = _doSample
+                };
+
+                var jsonOptions = new JsonSerializerOptions
+                {
+                    PropertyNamingPolicy = JsonNamingPolicy.SnakeCaseLower,
+                    DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull
+                };
+
+                string jsonBody = JsonSerializer.Serialize(requestBody, jsonOptions);
+                var content = new StringContent(jsonBody, Encoding.UTF8, "application/json");
+
+                var response = await httpClient.PostAsync($"{_baseUrl}/generate", content);
+                var responseString = await response.Content.ReadAsStringAsync();
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    Logger.Log($"InternVL Flask endpoint returned error {response.StatusCode}: {responseString}");
+                    return string.Empty;
+                }
+
+                var visionResponse = JsonSerializer.Deserialize<InternVLGenerateResponse>(responseString, jsonOptions);
+
+                return visionResponse?.Response ?? string.Empty;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Error describing image with InternVL: {ex.Message}\r\n{ex}");
+                return string.Empty;
+            }
+        }
+
+        private class InternVLGenerateRequest
+        {
+            [JsonPropertyName("image")]
+            public required string Image { get; set; }
+
+            [JsonPropertyName("prompt")]
+            public required string Prompt { get; set; }
+
+            [JsonPropertyName("max_tokens")]
+            public int MaxTokens { get; set; }
+
+            [JsonPropertyName("temperature")]
+            public float Temperature { get; set; } = 0.8f;
+
+            [JsonPropertyName("top_p")]
+            public float TopP { get; set; } = 0.9f;
+
+            [JsonPropertyName("top_k")]
+            public int TopK { get; set; } = 50;
+
+            [JsonPropertyName("repetition_penalty")]
+            public float RepetitionPenalty { get; set; } = 1.1f;
+
+            [JsonPropertyName("do_sample")]
+            public bool DoSample { get; set; } = true;
+        }
+
+        private class InternVLGenerateResponse
+        {
+            [JsonPropertyName("response")]
+            public string Response { get; set; } = string.Empty;
+
+            [JsonPropertyName("error")]
+            public string Error { get; set; }
+        }
+    }
+}
+
+
diff --git a/MultiImageClient/Describers/LocalQwenClient.cs b/MultiImageClient/Describers/LocalQwenClient.cs
new file mode 100644
index 0000000..085a514
--- /dev/null
+++ b/MultiImageClient/Describers/LocalQwenClient.cs
@@ -0,0 +1,158 @@
+
+using System;
+using System.Collections.Generic;
+using System.Net.Http;
+using System.Text;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class LocalQwenClient : ILocalVisionModel
+    {
+        private static readonly HttpClient httpClient = new HttpClient();
+        private readonly string _baseUrl;
+        private readonly string _modelName;
+        private readonly float _temperature;
+
+        public LocalQwenClient(
+            string baseUrl = "http://127.0.0.1:11434",
+            string modelName = "qwen2-vl:latest",
+            float temperature = 0.7f)
+        {
+            _baseUrl = baseUrl;
+            _modelName = modelName;
+            _temperature = temperature;
+        }
+
+        public string GetModelName() => _modelName;
+
+        public async Task<string> DescribeImageAsync(byte[] imageBytes, string prompt, int maxTokens = 512, float temperature = 0.7f)
+        {
+            try
+            {
+                string base64Image = Convert.ToBase64String(imageBytes);
+
+                var requestBody = new OllamaChatRequest
+                {
+                    Model = _modelName,
+                    Stream = false,
+                    KeepAlive = "5m",
+                    Options = new OllamaOptions
+                    {
+                        Temperature = temperature,
+                        NumPredict = maxTokens
+                    },
+                    Messages = new List<OllamaMessage>
+                    {
+                        new OllamaMessage
+                        {
+                            Role = "user",
+                            Content = prompt,
+                            Images = new List<string> { base64Image }
+                        }
+                    }
+                };
+
+                var jsonOptions = new JsonSerializerOptions
+                {
+                    PropertyNamingPolicy = JsonNamingPolicy.SnakeCaseLower,
+                    DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull
+                };
+
+                string jsonBody = JsonSerializer.Serialize(requestBody, jsonOptions);
+                var content = new StringContent(jsonBody, Encoding.UTF8, "application/json");
+
+                var response = await httpClient.PostAsync($"{_baseUrl}/api/chat", content);
+                var responseString = await response.Content.ReadAsStringAsync();
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    Logger.Log($"Ollama endpoint returned error {response.StatusCode}: {responseString}");
+                    return string.Empty;
+                }
+
+                var visionResponse = JsonSerializer.Deserialize<OllamaResponse>(responseString, jsonOptions);
+
+                return visionResponse?.Message?.Content ?? string.Empty;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Error describing image with Ollama: {ex.Message}\r\n{ex}");
+                return string.Empty;
+            }
+        }
+
+        private class OllamaChatRequest
+        {
+            [JsonPropertyName("model")]
+            public required string Model { get; set; }
+
+            [JsonPropertyName("stream")]
+            public required bool Stream { get; set; }
+
+            [JsonPropertyName("keep_alive")]
+            public required string KeepAlive { get; set; }
+
+            [JsonPropertyName("options")]
+            public OllamaOptions? Options { get; set; }
+
+            [JsonPropertyName("messages")]
+            public required List<OllamaMessage> Messages { get; set; } = new();
+        }
+
+        private class OllamaMessage
+        {
+            [JsonPropertyName("role")]
+            public required string Role { get; set; }
+
+            [JsonPropertyName("content")]
+            public required string Content { get; set; }
+
+            [JsonPropertyName("images")]
+            public required List<string> Images { get; set; } = new();
+        }
+
+        private class OllamaResponse
+        {
+            [JsonPropertyName("model")]
+            public required string Model { get; set; }
+
+            [JsonPropertyName("created_at")]
+            public required DateTime CreatedAt { get; set; }
+
+            [JsonPropertyName("message")]
+            public required OllamaResponseMessage Message { get; set; } = new() { Role = string.Empty, Content = string.Empty };
+
+            [JsonPropertyName("done")]
+            public required bool Done { get; set; }
+        }
+
+        private class OllamaResponseMessage
+        {
+            [JsonPropertyName("role")]
+            public required string Role { get; set; }
+
+            [JsonPropertyName("content")]
+            public required string Content { get; set; } = string.Empty;
+        }
+
+        private class OllamaOptions
+        {
+            [JsonPropertyName("temperature")]
+            public float? Temperature { get; set; }
+
+            [JsonPropertyName("num_predict")]
+            public int? NumPredict { get; set; }
+
+            [JsonPropertyName("top_p")]
+            public float? TopP { get; set; }
+
+            [JsonPropertyName("top_k")]
+            public int? TopK { get; set; }
+        }
+    }
+}
+
+
diff --git a/MultiImageClient/Enums/CombinationImageLayoutTypes.cs b/MultiImageClient/Enums/CombinationImageLayoutTypes.cs
new file mode 100644
index 0000000..80fa1fe
--- /dev/null
+++ b/MultiImageClient/Enums/CombinationImageLayoutTypes.cs
@@ -0,0 +1,9 @@
+namespace MultiImageClient
+{
+    public enum CombinedImageLayout
+    {
+        Horizontal = 1,
+        Square = 2,
+        ImageDescribeRendersHorizontally = 3,
+    }
+}
diff --git a/MultiImageClient/GeneralActionType.cs b/MultiImageClient/Enums/GeneralActionType.cs
similarity index 95%
rename from MultiImageClient/GeneralActionType.cs
rename to MultiImageClient/Enums/GeneralActionType.cs
index d6fb418..7ef3460 100644
--- a/MultiImageClient/GeneralActionType.cs
+++ b/MultiImageClient/Enums/GeneralActionType.cs
@@ -1,10 +1,9 @@
-
-namespace MultiImageClient
-{
-    public enum GeneralActionType
-    {
-        PromptToImageWithSteps = 1,
-        ImageToTextToImageWithSteps = 2,
-        SamePromptMultipleTargets = 3,
-    };
+namespace MultiImageClient
+{
+    public enum GeneralActionType
+    {
+        PromptToImageWithSteps = 1,
+        ImageToTextToImageWithSteps = 2,
+        SamePromptMultipleTargets = 3,
+    };
 }
\ No newline at end of file
diff --git a/MultiImageClient/OpenAIGPTImageOneQuality.cs b/MultiImageClient/Enums/OpenAIGPTImageOneQuality.cs
similarity index 96%
rename from MultiImageClient/OpenAIGPTImageOneQuality.cs
rename to MultiImageClient/Enums/OpenAIGPTImageOneQuality.cs
index 792cd7e..3500831 100644
--- a/MultiImageClient/OpenAIGPTImageOneQuality.cs
+++ b/MultiImageClient/Enums/OpenAIGPTImageOneQuality.cs
@@ -1,11 +1,11 @@
-namespace MultiImageClient
-{
-    /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
-    public enum OpenAIGPTImageOneQuality
-    {
-        auto = 1,
-        low = 2,
-        medium = 3,
-        high = 4,
-    }
-}
+namespace MultiImageClient
+{
+    /// We only well-control the initial prompt text generation. The actual process of applying various steps, logging etc is all hardcoded in here which is not ideal.
+    public enum OpenAIGPTImageOneQuality
+    {
+        auto = 1,
+        low = 2,
+        medium = 3,
+        high = 4,
+    }
+}
diff --git a/MultiImageClient/Services/BFLGenerator.cs b/MultiImageClient/ImageGenerators/BFLGenerator.cs
similarity index 97%
rename from MultiImageClient/Services/BFLGenerator.cs
rename to MultiImageClient/ImageGenerators/BFLGenerator.cs
index a777aeb..b73afb6 100644
--- a/MultiImageClient/Services/BFLGenerator.cs
+++ b/MultiImageClient/ImageGenerators/BFLGenerator.cs
@@ -1,212 +1,212 @@
-using BFLAPIClient;
-
-
-using SixLabors.Fonts;
-using SixLabors.ImageSharp;
-using SixLabors.ImageSharp.Drawing.Processing;
-using SixLabors.ImageSharp.PixelFormats;
-using SixLabors.ImageSharp.Processing;
-
-using System;
-using System.Collections.Generic;
-using System.ComponentModel;
-using System.Data;
-using System.Drawing;
-using System.IO;
-using System.Linq;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-using Color = SixLabors.ImageSharp.Color;
-using FontStyle = SixLabors.Fonts.FontStyle;
-using PointF = SixLabors.ImageSharp.PointF;
-using RectangleF = SixLabors.ImageSharp.RectangleF;
-using SystemFonts = SixLabors.Fonts.SystemFonts;
-
-namespace MultiImageClient
-{
-    public class BFLGenerator : IImageGenerator
-    {
-        private SemaphoreSlim _bflSemaphore;
-        private BFLClient _bflClient;
-        private HttpClient _httpClient;
-        private MultiClientRunStats _stats;
-        private string _aspectRatio = "1:1";
-        private bool _promptUpsampling = false;
-        private int _width { get; set; }
-        private int _height { get; set; }
-        private ImageGeneratorApiType _apiType { get; }
-
-        public ImageGeneratorApiType ApiType => _apiType;
-
-        private string _name;
-
-        
-        public string GetGeneratorSpecPart()
-        {
-            if (string.IsNullOrEmpty(_name))
-            {
-                return $"{_apiType}";
-            }
-            else
-            {
-                return $"{_name}";
-            }
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var res = $"{_apiType}{_name}";
-            var upsamplingPart = _promptUpsampling ? "_up" : "";
-            if (_apiType == ImageGeneratorApiType.BFLv11)
-            {
-                res = $"{res}_{_height}x{_width}{upsamplingPart}";
-            }
-            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
-            {
-                res = $"{res}_{_aspectRatio}{upsamplingPart}";
-            }
-            else
-            {
-                throw new Exception("X");
-            }
-
-            return res;
-        }
-
-        public BFLGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency, string aspectRatio, bool promptUpscaling, int width, int height, MultiClientRunStats stats, string name)
-        {
-            _apiType = apiType;
-            _bflClient = new BFLClient(apiKey);
-            _bflSemaphore = new SemaphoreSlim(maxConcurrency);
-            _httpClient = new HttpClient();
-
-            _aspectRatio = aspectRatio;
-            _promptUpsampling = promptUpscaling;
-            _width = width;
-            _height = height;
-
-            _stats = stats;
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-        }
-        public List<string> GetRightParts()
-        {
-            var upsamplingPart = _promptUpsampling ? "prompt rewritten." : "";
-            var rightsideContents = new List<string>() { _apiType.ToString(), upsamplingPart};
-            return rightsideContents;
-        }
-
-        // https://bfl.ai/pricing
-        public decimal GetCost()
-        {
-            if (_apiType == ImageGeneratorApiType.BFLv11)
-            {
-                return 0.04m;
-            }
-            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
-            {
-                return 0.06m;
-                    }
-            else { throw new Exception("Q"); }
-        }
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _bflSemaphore.WaitAsync();
-
-            try
-            {
-                GenerationResponse generationResponse = null;
-                if (_apiType == ImageGeneratorApiType.BFLv11)
-                {
-                    var request = new FluxPro11Request
-                    {
-                        Prompt = promptDetails.Prompt,
-                        Width = _width,
-                        Height = _height,
-                        PromptUpsampling = _promptUpsampling,
-                        SafetyTolerance = 6
-                    };
-
-                    generationResponse = await _bflClient.GenerateFluxPro11Async(request);
-                }
-                else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
-                {
-                    var request2 = new FluxPro11UltraRequest
-                    {
-                        Prompt = promptDetails.Prompt,
-                        AspectRatio = _aspectRatio,
-                        PromptUpsampling = _promptUpsampling,
-                        Width = _width,
-                        Height = _height,
-                        SafetyTolerance = 6
-                    };
-                    generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request2);
-                }
-                else
-                {
-                    Console.WriteLine("error.");
-                }
-
-
-                _stats.BFLImageGenerationRequestCount++;
-
-                Logger.Log($"{promptDetails} From BFL: '{generationResponse.Status}'");
-
-                // this is where we handle generator-specific error types.
-                if (generationResponse.Status != "Ready")
-                {
-                    var baseResponse = new TaskProcessResult { IsSuccess = false, PromptDetails = promptDetails, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), ImageGenerator = _apiType, ErrorMessage = generationResponse.Status };
-                    if (generationResponse.Status == "Content Moderated")
-                    {
-                        _stats.BFLImageGenerationErrorCount++;
-                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.ContentModerated;
-                        return baseResponse;
-                    }
-                    else if (generationResponse.Status == "Request Moderated")
-                    {
-                        _stats.BFLImageGenerationErrorCount++;
-                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated;
-                        return baseResponse;
-
-                    }
-                    else
-                    {
-                        // also you have to handle the out of money case.
-                        _stats.BFLImageGenerationErrorCount++;
-                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.Unknown;
-                        return baseResponse;
-                    }
-
-                }
-                else
-                {
-                    Logger.Log($"{promptDetails} BFL image generated: {generationResponse.Result.Sample}");
-                    _stats.BFLImageGenerationRequestCount++;
-                    var returnedPrompt = generationResponse.Result.Prompt.Trim();
-                    if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
-                    {
-                        //BFL replaced the prompt. It actually happens!
-                        promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
-                    }
-
-                    var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, generationResponse.Result.Sample));
-                    var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-                    return new TaskProcessResult { IsSuccess = true, Url = generationResponse.Result.Sample, ContentType = contentType, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), PromptDetails = promptDetails, ImageGenerator = _apiType };
-                }
-
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"{promptDetails} BFL error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), ImageGenerator = ImageGeneratorApiType.BFLv11 };
-            }
-            finally
-            {
-                _bflSemaphore.Release();
-            }
-        }
-
-   
-    }
+using BFLAPIClient;
+
+
+using SixLabors.Fonts;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Drawing.Processing;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.ImageSharp.Processing;
+
+using System;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.Data;
+using System.Drawing;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+using Color = SixLabors.ImageSharp.Color;
+using FontStyle = SixLabors.Fonts.FontStyle;
+using PointF = SixLabors.ImageSharp.PointF;
+using RectangleF = SixLabors.ImageSharp.RectangleF;
+using SystemFonts = SixLabors.Fonts.SystemFonts;
+
+namespace MultiImageClient
+{
+    public class BFLGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _bflSemaphore;
+        private BFLClient _bflClient;
+        private HttpClient _httpClient;
+        private MultiClientRunStats _stats;
+        private string _aspectRatio = "1:1";
+        private bool _promptUpsampling = false;
+        private int _width { get; set; }
+        private int _height { get; set; }
+        private ImageGeneratorApiType _apiType { get; }
+
+        public ImageGeneratorApiType ApiType => _apiType;
+
+        private string _name;
+
+        
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"{_apiType}";
+            }
+            else
+            {
+                return $"{_name}";
+            }
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var res = $"{_apiType}{_name}";
+            var upsamplingPart = _promptUpsampling ? "_up" : "";
+            if (_apiType == ImageGeneratorApiType.BFLv11)
+            {
+                res = $"{res}_{_height}x{_width}{upsamplingPart}";
+            }
+            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
+            {
+                res = $"{res}_{_aspectRatio}{upsamplingPart}";
+            }
+            else
+            {
+                throw new Exception("X");
+            }
+
+            return res;
+        }
+
+        public BFLGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency, string aspectRatio, bool promptUpscaling, int width, int height, MultiClientRunStats stats, string name)
+        {
+            _apiType = apiType;
+            _bflClient = new BFLClient(apiKey);
+            _bflSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
+
+            _aspectRatio = aspectRatio;
+            _promptUpsampling = promptUpscaling;
+            _width = width;
+            _height = height;
+
+            _stats = stats;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+        }
+        public List<string> GetRightParts()
+        {
+            var upsamplingPart = _promptUpsampling ? "prompt rewritten." : "";
+            var rightsideContents = new List<string>() { _apiType.ToString(), upsamplingPart};
+            return rightsideContents;
+        }
+
+        // https://bfl.ai/pricing
+        public decimal GetCost()
+        {
+            if (_apiType == ImageGeneratorApiType.BFLv11)
+            {
+                return 0.04m;
+            }
+            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
+            {
+                return 0.06m;
+                    }
+            else { throw new Exception("Q"); }
+        }
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _bflSemaphore.WaitAsync();
+
+            try
+            {
+                GenerationResponse generationResponse = null;
+                if (_apiType == ImageGeneratorApiType.BFLv11)
+                {
+                    var request = new FluxPro11Request
+                    {
+                        Prompt = promptDetails.Prompt,
+                        Width = _width,
+                        Height = _height,
+                        PromptUpsampling = _promptUpsampling,
+                        SafetyTolerance = 6
+                    };
+
+                    generationResponse = await _bflClient.GenerateFluxPro11Async(request);
+                }
+                else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
+                {
+                    var request2 = new FluxPro11UltraRequest
+                    {
+                        Prompt = promptDetails.Prompt,
+                        AspectRatio = _aspectRatio,
+                        PromptUpsampling = _promptUpsampling,
+                        Width = _width,
+                        Height = _height,
+                        SafetyTolerance = 6
+                    };
+                    generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request2);
+                }
+                else
+                {
+                    Console.WriteLine("error.");
+                }
+
+
+                _stats.BFLImageGenerationRequestCount++;
+
+                Logger.Log($"{promptDetails} From BFL: '{generationResponse.Status}'");
+
+                // this is where we handle generator-specific error types.
+                if (generationResponse.Status != "Ready")
+                {
+                    var baseResponse = new TaskProcessResult { IsSuccess = false, PromptDetails = promptDetails, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), ImageGenerator = _apiType, ErrorMessage = generationResponse.Status };
+                    if (generationResponse.Status == "Content Moderated")
+                    {
+                        _stats.BFLImageGenerationErrorCount++;
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.ContentModerated;
+                        return baseResponse;
+                    }
+                    else if (generationResponse.Status == "Request Moderated")
+                    {
+                        _stats.BFLImageGenerationErrorCount++;
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated;
+                        return baseResponse;
+
+                    }
+                    else
+                    {
+                        // also you have to handle the out of money case.
+                        _stats.BFLImageGenerationErrorCount++;
+                        baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.Unknown;
+                        return baseResponse;
+                    }
+
+                }
+                else
+                {
+                    Logger.Log($"{promptDetails} BFL image generated: {generationResponse.Result.Sample}");
+                    _stats.BFLImageGenerationRequestCount++;
+                    var returnedPrompt = generationResponse.Result.Prompt.Trim();
+                    if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
+                    {
+                        //BFL replaced the prompt. It actually happens!
+                        promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
+                    }
+
+                    var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, generationResponse.Result.Sample));
+                    var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+                    return new TaskProcessResult { IsSuccess = true, Url = generationResponse.Result.Sample, ContentType = contentType, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), PromptDetails = promptDetails, ImageGenerator = _apiType };
+                }
+
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"{promptDetails} BFL error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), ImageGenerator = ImageGeneratorApiType.BFLv11 };
+            }
+            finally
+            {
+                _bflSemaphore.Release();
+            }
+        }
+
+   
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/Dalle3Generator.cs b/MultiImageClient/ImageGenerators/Dalle3Generator.cs
similarity index 97%
rename from MultiImageClient/Services/Dalle3Generator.cs
rename to MultiImageClient/ImageGenerators/Dalle3Generator.cs
index 2e15076..b992c3b 100644
--- a/MultiImageClient/Services/Dalle3Generator.cs
+++ b/MultiImageClient/ImageGenerators/Dalle3Generator.cs
@@ -1,137 +1,137 @@
-using OpenAI;
-using OpenAI.Images;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class Dalle3Generator : IImageGenerator
-    {
-        private SemaphoreSlim _dalle3Semaphore;
-        private ImageClient _openAIImageClient;
-        private GeneratedImageQuality _quality;
-        private GeneratedImageSize _size;
-        private MultiClientRunStats _stats;
-        private string _name;
-
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.Dalle3;
-
-        public Dalle3Generator(string apiKey, int maxConcurrency,
-            GeneratedImageQuality quality,
-                GeneratedImageSize size,
-            MultiClientRunStats stats, string name = "")
-        {
-            var openAIClient = new OpenAIClient(apiKey);
-            _openAIImageClient = openAIClient.GetImageClient("dall-e-3");
-            _dalle3Semaphore = new SemaphoreSlim(maxConcurrency);
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-            _quality = quality;
-            _size = size;
-            _stats = stats;
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var qualpt = "";
-            if (_quality != GeneratedImageQuality.High)
-            {
-                qualpt = $"_{_quality.ToString().ToLower()}";
-            }
-            var res = $"dalle3-{_name}{qualpt}";
-            return res;
-        }
-
-        public decimal GetCost()
-        {
-            var ss = _size.ToString();
-            switch (ss)
-            {
-                case "1024x1024":
-                    return 0.08m;
-                case "1792x1024":
-                    return 0.12m;
-                case "1024x1792":
-                    return 0.12m;
-                default:
-                    throw new Exception("few");
-            }
-        }
-
-        public List<string> GetRightParts()
-        {
-            var qualpt = "";
-            if (_quality != GeneratedImageQuality.High)
-            {
-                qualpt = $"_{_quality.ToString().ToLower()}";
-            }
-            var res = $"dalle3-{_name}{qualpt}";
-
-            var rightsideContents = new List<string>() { "dall-e-3", _name, qualpt};
-
-            return rightsideContents;
-        }
-
-        /// it's rather annoying that we still have to send in the original pd. we do that because here is where we notice things like "de3 modified or banned the text, etc."
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _dalle3Semaphore.WaitAsync();
-            try
-            {
-                _stats.Dalle3RequestCount++;
-                //det.Size = GeneratedImageSize.W1024xH1024;
-
-                var det = new ImageGenerationOptions()
-                {
-                    Quality = GeneratedImageQuality.High,
-                    Size = GeneratedImageSize.W1024xH1024
-                };
-
-                var cappedSizePrompt = promptDetails.Prompt;
-                if (cappedSizePrompt.Length > 4000)
-                {
-                    cappedSizePrompt = cappedSizePrompt.Substring(0, 4000);
-                }
-
-                var res = await _openAIImageClient.GenerateImageAsync(cappedSizePrompt, det);
-                var uri = res.Value.ImageUri;
-                var revisedPrompt = res.Value.RevisedPrompt;
-                if (revisedPrompt != cappedSizePrompt)
-                {
-                    promptDetails.ReplacePrompt(revisedPrompt, revisedPrompt, TransformationType.Dalle3Rewrite);
-                }
-                return new TaskProcessResult { IsSuccess = true, Url = uri.ToString(), ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
-            }
-            catch (Exception ex)
-            {
-                var ms = ex.Message.Split("\r\n\r\n");
-                var errorMessage = "Error.";
-                if (ms.Length > 1)
-                {
-                    errorMessage = ms.Last();
-                }
-                    
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = errorMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
-            }
-            finally
-            {
-                _dalle3Semaphore.Release();
-            }
-        }
-
-        public string GetGeneratorSpecPart()
-        {
-            if (string.IsNullOrEmpty(_name))
-            {
-                return $"dall-e-3";
-            }
-            else
-            {
-                return $"{_name}";
-            }
-        }
-    }
+using OpenAI;
+using OpenAI.Images;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class Dalle3Generator : IImageGenerator
+    {
+        private SemaphoreSlim _dalle3Semaphore;
+        private ImageClient _openAIImageClient;
+        private GeneratedImageQuality _quality;
+        private GeneratedImageSize _size;
+        private MultiClientRunStats _stats;
+        private string _name;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.Dalle3;
+
+        public Dalle3Generator(string apiKey, int maxConcurrency,
+            GeneratedImageQuality quality,
+                GeneratedImageSize size,
+            MultiClientRunStats stats, string name = "")
+        {
+            var openAIClient = new OpenAIClient(apiKey);
+            _openAIImageClient = openAIClient.GetImageClient("dall-e-3");
+            _dalle3Semaphore = new SemaphoreSlim(maxConcurrency);
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _quality = quality;
+            _size = size;
+            _stats = stats;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var qualpt = "";
+            if (_quality != GeneratedImageQuality.High)
+            {
+                qualpt = $"_{_quality.ToString().ToLower()}";
+            }
+            var res = $"dalle3-{_name}{qualpt}";
+            return res;
+        }
+
+        public decimal GetCost()
+        {
+            var ss = _size.ToString();
+            switch (ss)
+            {
+                case "1024x1024":
+                    return 0.08m;
+                case "1792x1024":
+                    return 0.12m;
+                case "1024x1792":
+                    return 0.12m;
+                default:
+                    throw new Exception("few");
+            }
+        }
+
+        public List<string> GetRightParts()
+        {
+            var qualpt = "";
+            if (_quality != GeneratedImageQuality.High)
+            {
+                qualpt = $"_{_quality.ToString().ToLower()}";
+            }
+            var res = $"dalle3-{_name}{qualpt}";
+
+            var rightsideContents = new List<string>() { "dall-e-3", _name, qualpt};
+
+            return rightsideContents;
+        }
+
+        /// it's rather annoying that we still have to send in the original pd. we do that because here is where we notice things like "de3 modified or banned the text, etc."
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _dalle3Semaphore.WaitAsync();
+            try
+            {
+                _stats.Dalle3RequestCount++;
+                //det.Size = GeneratedImageSize.W1024xH1024;
+
+                var det = new ImageGenerationOptions()
+                {
+                    Quality = GeneratedImageQuality.High,
+                    Size = GeneratedImageSize.W1024xH1024
+                };
+
+                var cappedSizePrompt = promptDetails.Prompt;
+                if (cappedSizePrompt.Length > 4000)
+                {
+                    cappedSizePrompt = cappedSizePrompt.Substring(0, 4000);
+                }
+
+                var res = await _openAIImageClient.GenerateImageAsync(cappedSizePrompt, det);
+                var uri = res.Value.ImageUri;
+                var revisedPrompt = res.Value.RevisedPrompt;
+                if (revisedPrompt != cappedSizePrompt)
+                {
+                    promptDetails.ReplacePrompt(revisedPrompt, revisedPrompt, TransformationType.Dalle3Rewrite);
+                }
+                return new TaskProcessResult { IsSuccess = true, Url = uri.ToString(), ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
+            }
+            catch (Exception ex)
+            {
+                var ms = ex.Message.Split("\r\n\r\n");
+                var errorMessage = "Error.";
+                if (ms.Length > 1)
+                {
+                    errorMessage = ms.Last();
+                }
+                    
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = errorMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Dalle3, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
+            }
+            finally
+            {
+                _dalle3Semaphore.Release();
+            }
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"dall-e-3";
+            }
+            else
+            {
+                return $"{_name}";
+            }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/GoogleGenerator.cs b/MultiImageClient/ImageGenerators/GoogleGenerator.cs
similarity index 97%
rename from MultiImageClient/Services/GoogleGenerator.cs
rename to MultiImageClient/ImageGenerators/GoogleGenerator.cs
index d92f6e3..4f3f449 100644
--- a/MultiImageClient/Services/GoogleGenerator.cs
+++ b/MultiImageClient/ImageGenerators/GoogleGenerator.cs
@@ -1,217 +1,217 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Net.Http;
-using System.Text;
-using System.Text.Json;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class GoogleGenerator : IImageGenerator
-    {
-        private SemaphoreSlim _googleSemaphore;
-        private HttpClient _httpClient;
-        private string _apiKey;
-        private MultiClientRunStats _stats;
-        private string _name;
-        private ImageGeneratorApiType _apiType;
-
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleNanoBanana;
-
-        public GoogleGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency,
-            MultiClientRunStats stats, string name = "")
-        {
-            _apiKey = apiKey;
-            _googleSemaphore = new SemaphoreSlim(maxConcurrency);
-            _httpClient = new HttpClient();
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-            _stats = stats;
-            _apiType = apiType;
-
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            return $"google-{_apiType}";
-        }
-
-        public decimal GetCost()
-        {
-            // Gemini 2.5 Flash Image uses token-based pricing
-            // $30 per 1 million tokens for image output (1290 tokens per image up to 1024x1024px)
-            if (_apiType == ImageGeneratorApiType.GoogleNanoBanana)
-            {
-                return (30m / 1000000m) * 1290m;
-            }
-            else if (_apiType == ImageGeneratorApiType.GoogleImagen4)
-            {
-                return 0.04m;
-            }
-            else
-            {
-                throw new Exception("E");
-            }
-        }
-
-        public List<string> GetRightParts()
-        {
-            return new List<string> { _apiType.ToString() };
-        }
-
-        public string GetGeneratorSpecPart()
-        {
-            if (string.IsNullOrEmpty(_name))
-            {
-                return $"google-{_apiType.ToString()}";
-            }
-            else
-            {
-                return _name;
-            }
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _googleSemaphore.WaitAsync();
-            try
-            {
-                _stats.GoogleRequestCount++;
-
-                // Google Gemini API endpoint for native image generation (Nano Banana)
-                var apiUrl = $"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image-preview:generateContent";
-
-                var requestBody = new
-                {
-                    contents = new[]
-                    {
-                        new
-                        {
-                            parts = new[]
-                            {
-                                new { text = promptDetails.Prompt }
-                            }
-                        }
-                    },
-                    generationConfig = new
-                    {
-                        responseModalities = new[] { "TEXT", "IMAGE" }
-                    }
-                };
-
-                var json = JsonSerializer.Serialize(requestBody);
-                var content = new StringContent(json, Encoding.UTF8, "application/json");
-
-                // Set API key in header as required by Gemini API
-                var request = new HttpRequestMessage(HttpMethod.Post, apiUrl)
-                {
-                    Content = content
-                };
-                request.Headers.Add("x-goog-api-key", _apiKey);
-
-
-                var response = await _httpClient.SendAsync(request);
-                var responseContent = await response.Content.ReadAsStringAsync();
-
-                if (!response.IsSuccessStatusCode)
-                {
-                    var errorMessage = $"Google Gemini API error: {response.StatusCode} - {responseContent}";
-                    return new TaskProcessResult
-                    {
-                        IsSuccess = false,
-                        ErrorMessage = errorMessage,
-                        PromptDetails = promptDetails,
-                        ImageGenerator = GetImageGeneratorType(),
-                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                    };
-                }
-
-                // Parse Gemini native image generation response
-                var responseData = JsonSerializer.Deserialize<GeminiGenerateContentResponse>(responseContent);
-
-                if (responseData?.candidates?.Length > 0)
-                {
-                    var base64Images = new List<CreatedBase64Image>();
-
-                    foreach (var candidate in responseData.candidates)
-                    {
-                        if (candidate?.content?.parts != null)
-                        {
-                            foreach (var part in candidate.content.parts)
-                            {
-                                // Check for image data in inline_data
-                                if (part.inlineData != null && !string.IsNullOrEmpty(part.inlineData.data))
-                                {
-                                    var bd = new CreatedBase64Image
-                                    {
-                                        bytesBase64 = part.inlineData.data,
-                                        newPrompt = promptDetails.Prompt
-                                    };
-                                    base64Images.Add(bd);
-                                }
-                                // Log any text responses for debugging
-                                else if (!string.IsNullOrEmpty(part.text))
-                                {
-                                    Console.WriteLine($"Gemini text response: {part.text}");
-                                    //throw new Exception("qq");
-                                }
-                            }
-                        }
-                    }
-
-                    if (base64Images.Count > 0)
-                    {
-                        return new TaskProcessResult
-                        {
-                            IsSuccess = true,
-                            Base64ImageDatas = base64Images,
-                            ContentType = "image/png",
-                            ErrorMessage = "",
-                            PromptDetails = promptDetails,
-                            ImageGenerator = GetImageGeneratorType(),
-                            ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                        };
-                    }
-                }
-
-                return new TaskProcessResult
-                {
-                    IsSuccess = false,
-                    ErrorMessage = "No image data returned from Google Gemini API",
-                    PromptDetails = promptDetails,
-                    ImageGenerator = GetImageGeneratorType(),
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                };
-            }
-            catch (Exception ex)
-            {
-                var errorMessage = $"Google Imagen Generator error: {ex.Message}";
-                return new TaskProcessResult
-                {
-                    IsSuccess = false,
-                    ErrorMessage = errorMessage,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = GetImageGeneratorType(),
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                };
-            }
-            finally
-            {
-                _googleSemaphore.Release();
-            }
-        }
-
-        private ImageGeneratorApiType GetImageGeneratorType()
-        {
-            return _apiType;
-        }
-
-        public void Dispose()
-        {
-            _httpClient?.Dispose();
-            _googleSemaphore?.Dispose();
-        }
-    }
-
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Net.Http;
+using System.Text;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class GoogleGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _googleSemaphore;
+        private HttpClient _httpClient;
+        private string _apiKey;
+        private MultiClientRunStats _stats;
+        private string _name;
+        private ImageGeneratorApiType _apiType;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleNanoBanana;
+
+        public GoogleGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency,
+            MultiClientRunStats stats, string name = "")
+        {
+            _apiKey = apiKey;
+            _googleSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _stats = stats;
+            _apiType = apiType;
+
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            return $"google-{_apiType}";
+        }
+
+        public decimal GetCost()
+        {
+            // Gemini 2.5 Flash Image uses token-based pricing
+            // $30 per 1 million tokens for image output (1290 tokens per image up to 1024x1024px)
+            if (_apiType == ImageGeneratorApiType.GoogleNanoBanana)
+            {
+                return (30m / 1000000m) * 1290m;
+            }
+            else if (_apiType == ImageGeneratorApiType.GoogleImagen4)
+            {
+                return 0.04m;
+            }
+            else
+            {
+                throw new Exception("E");
+            }
+        }
+
+        public List<string> GetRightParts()
+        {
+            return new List<string> { _apiType.ToString() };
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"google-{_apiType.ToString()}";
+            }
+            else
+            {
+                return _name;
+            }
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _googleSemaphore.WaitAsync();
+            try
+            {
+                _stats.GoogleRequestCount++;
+
+                // Google Gemini API endpoint for native image generation (Nano Banana)
+                var apiUrl = $"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image-preview:generateContent";
+
+                var requestBody = new
+                {
+                    contents = new[]
+                    {
+                        new
+                        {
+                            parts = new[]
+                            {
+                                new { text = promptDetails.Prompt }
+                            }
+                        }
+                    },
+                    generationConfig = new
+                    {
+                        responseModalities = new[] { "TEXT", "IMAGE" }
+                    }
+                };
+
+                var json = JsonSerializer.Serialize(requestBody);
+                var content = new StringContent(json, Encoding.UTF8, "application/json");
+
+                // Set API key in header as required by Gemini API
+                var request = new HttpRequestMessage(HttpMethod.Post, apiUrl)
+                {
+                    Content = content
+                };
+                request.Headers.Add("x-goog-api-key", _apiKey);
+
+
+                var response = await _httpClient.SendAsync(request);
+                var responseContent = await response.Content.ReadAsStringAsync();
+
+                if (!response.IsSuccessStatusCode)
+                {
+                    var errorMessage = $"Google Gemini API error: {response.StatusCode} - {responseContent}";
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = errorMessage,
+                        PromptDetails = promptDetails,
+                        ImageGenerator = GetImageGeneratorType(),
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                // Parse Gemini native image generation response
+                var responseData = JsonSerializer.Deserialize<GeminiGenerateContentResponse>(responseContent);
+
+                if (responseData?.candidates?.Length > 0)
+                {
+                    var base64Images = new List<CreatedBase64Image>();
+
+                    foreach (var candidate in responseData.candidates)
+                    {
+                        if (candidate?.content?.parts != null)
+                        {
+                            foreach (var part in candidate.content.parts)
+                            {
+                                // Check for image data in inline_data
+                                if (part.inlineData != null && !string.IsNullOrEmpty(part.inlineData.data))
+                                {
+                                    var bd = new CreatedBase64Image
+                                    {
+                                        bytesBase64 = part.inlineData.data,
+                                        newPrompt = promptDetails.Prompt
+                                    };
+                                    base64Images.Add(bd);
+                                }
+                                // Log any text responses for debugging
+                                else if (!string.IsNullOrEmpty(part.text))
+                                {
+                                    Console.WriteLine($"Gemini text response: {part.text}");
+                                    //throw new Exception("qq");
+                                }
+                            }
+                        }
+                    }
+
+                    if (base64Images.Count > 0)
+                    {
+                        return new TaskProcessResult
+                        {
+                            IsSuccess = true,
+                            Base64ImageDatas = base64Images,
+                            ContentType = "image/png",
+                            ErrorMessage = "",
+                            PromptDetails = promptDetails,
+                            ImageGenerator = GetImageGeneratorType(),
+                            ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                        };
+                    }
+                }
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = "No image data returned from Google Gemini API",
+                    PromptDetails = promptDetails,
+                    ImageGenerator = GetImageGeneratorType(),
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            catch (Exception ex)
+            {
+                var errorMessage = $"Google Imagen Generator error: {ex.Message}";
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = errorMessage,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = GetImageGeneratorType(),
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            finally
+            {
+                _googleSemaphore.Release();
+            }
+        }
+
+        private ImageGeneratorApiType GetImageGeneratorType()
+        {
+            return _apiType;
+        }
+
+        public void Dispose()
+        {
+            _httpClient?.Dispose();
+            _googleSemaphore?.Dispose();
+        }
+    }
+
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/GoogleImagen4Generator.cs b/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
similarity index 90%
rename from MultiImageClient/Services/GoogleImagen4Generator.cs
rename to MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
index a479b49..a9b8cff 100644
--- a/MultiImageClient/Services/GoogleImagen4Generator.cs
+++ b/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
@@ -1,219 +1,259 @@
-using System;
-using System.Collections.Generic;
-using System.Net.Http;
-using System.Text;
-using System.Text.Json;
-using System.Threading;
-using System.Threading.Tasks;
-using Google.Apis.Auth.OAuth2;
-using System.IO;
-using Google.Cloud.AIPlatform.V1;
-using Google.Protobuf.WellKnownTypes;
-using System.Linq;
-
-namespace MultiImageClient
-{
-    public class GoogleImagen4Generator : IImageGenerator
-    {
-        private SemaphoreSlim _googleSemaphore;
-        private PredictionServiceClient _predictionServiceClient;
-        private string _apiKey;
-        private MultiClientRunStats _stats;
-        private string _name;
-        private string _aspectRatio;
-        private string _safetyFilterLevel;
-        private string _location;
-        private string _projectId;
-        private string _googleServiceAccountKeyPath;
-        private GoogleCredential _credential;
-
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleImagen4;
-
-        public GoogleImagen4Generator(string apiKey, int maxConcurrency,
-            MultiClientRunStats stats, string name, 
-            string aspectRatio, 
-            string safetyFilterLevel, 
-            string location, 
-            string projectId,
-            string googleServiceAccountKeyPath)
-
-        {
-            _apiKey = apiKey;
-            _googleSemaphore = new SemaphoreSlim(maxConcurrency);
-            _location = location;
-            _projectId = projectId;
-            _googleServiceAccountKeyPath = googleServiceAccountKeyPath;
-
-            if (!string.IsNullOrEmpty(_googleServiceAccountKeyPath))
-            {
-                _credential = GoogleCredential.FromFile(_googleServiceAccountKeyPath)
-                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
-            } else {
-                _credential = GoogleCredential.GetApplicationDefault()
-                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
-            }
-
-            _predictionServiceClient = new PredictionServiceClientBuilder
-            {
-                Endpoint = $"{location}-aiplatform.googleapis.com",
-                Credential = _credential
-            }.Build();
-            
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-            _stats = stats;
-            _aspectRatio = aspectRatio;
-            _safetyFilterLevel = safetyFilterLevel;
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var namePart = string.IsNullOrEmpty(_name) ? "" : $"-{_name}";
-            return $"google-imagen4{namePart}";
-        }
-
-        public decimal GetCost()
-        {
-            // Imagen 4 pricing (higher than Imagen 3)
-            return 0.04m;
-        }
-
-        public List<string> GetRightParts()
-        {
-            var namePart = string.IsNullOrEmpty(_name) ? "" : _name;
-            return new List<string> { "imagen4", namePart };
-        }
-
-        public string GetGeneratorSpecPart()
-        {
-            if (string.IsNullOrEmpty(_name))
-            {
-                return "google-imagen4";
-            }
-            else
-            {
-                return _name;
-            }
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _googleSemaphore.WaitAsync();
-            try
-            {
-                _stats.GoogleRequestCount++;
-
-                // Google Gemini API endpoint for Imagen 4
-                var apiUrl = $"https://{_location}-aiplatform.googleapis.com/v1/projects/{_projectId}/locations/{_location}/publishers/google/models/imagen-4.0-generate-001:predict";
-
-                // Construct the instance for the predict request
-                var instance = new Google.Protobuf.WellKnownTypes.Value
-                {
-                    StructValue = new Google.Protobuf.WellKnownTypes.Struct
-                    {
-                        Fields = 
-                        {
-                            { "prompt", Google.Protobuf.WellKnownTypes.Value.ForString(promptDetails.Prompt) },
-                            { "numberOfImages", Google.Protobuf.WellKnownTypes.Value.ForNumber(1) },
-                            { "aspectRatio", Google.Protobuf.WellKnownTypes.Value.ForString(_aspectRatio) },
-                            { "enhancePrompt", Google.Protobuf.WellKnownTypes.Value.ForBool(false) },
-                            { "includeRaiReason", Google.Protobuf.WellKnownTypes.Value.ForBool(true) },
-                            { "safetyFilterLevel", Google.Protobuf.WellKnownTypes.Value.ForString(_safetyFilterLevel) },
-                            { "safetySetting", Google.Protobuf.WellKnownTypes.Value.ForString("block_only_high") },
-                            { "personGeneration", Google.Protobuf.WellKnownTypes.Value.ForString("ALLOW_ALL") },
-                            { "addWatermark", Google.Protobuf.WellKnownTypes.Value.ForBool(false) }
-                        }
-                    }
-                };
-
-                var instances = new List<Google.Protobuf.WellKnownTypes.Value> { instance };
-
-                // Imagen 4 does not use a separate 'config' field in parameters.
-                // Parameters are directly specified in the instance.
-                var parameters = new Google.Protobuf.WellKnownTypes.Value(); // No parameters needed for now.
-
-                var endpoint = EndpointName.FromProjectLocationPublisherModel(_projectId, _location, "google", "imagen-4.0-generate-001");
-                
-                var response = await _predictionServiceClient.PredictAsync(endpoint, instances, parameters);
-                
-                var base64Images = new List<CreatedBase64Image>();
-                string commonMimeType = "image/png"; // Default or first detected mime type
-
-                if (response?.Predictions != null && response.Predictions.Any())
-                {
-                    foreach (var prediction in response.Predictions)
-                        {
-                            if (prediction?.StructValue?.Fields != null)
-                            {
-                                var predictionFields = prediction.StructValue.Fields;
-                                if (predictionFields.ContainsKey("bytesBase64Encoded") && predictionFields.ContainsKey("mimeType"))
-                                {
-                                    var imageData = predictionFields["bytesBase64Encoded"].StringValue;
-                                    var newPrompt = predictionFields["prompt"].StringValue;
-                                    var currentMimeType = predictionFields["mimeType"].StringValue;
-
-                                    if (!string.IsNullOrEmpty(imageData))
-                                    {
-                                        var bd = new CreatedBase64Image
-                                        {
-                                            bytesBase64 = imageData,
-                                            newPrompt = newPrompt,
-                                        };
-
-                                        base64Images.Add(bd);
-                                        if (!string.IsNullOrEmpty(currentMimeType) && (commonMimeType == "image/png"))
-                                        {
-                                            commonMimeType = currentMimeType; // Use the first valid mime type found if default
-                                        }
-                                    }
-                                }
-                            }
-                        }
-                }
-
-                if (base64Images.Count == 0)
-                {
-                    return new TaskProcessResult 
-                    {
-                        IsSuccess = false,
-                        ErrorMessage = "No image data returned from Google Imagen 4 API",
-                        PromptDetails = promptDetails,
-                        ImageGenerator = ImageGeneratorApiType.GoogleImagen4,
-                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                    };
-                }
-
-                return new TaskProcessResult 
-                { 
-                    IsSuccess = true, 
-                    Base64ImageDatas = base64Images,
-                    ContentType = commonMimeType,
-                    ErrorMessage = "", 
-                    PromptDetails = promptDetails, 
-                    ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
-                };
-            }
-            catch (Exception ex)
-            {
-                var errorMessage = $"Google Imagen 4 Generator error: {ex.Message}";
-                return new TaskProcessResult 
-                { 
-                    IsSuccess = false, 
-                    ErrorMessage = errorMessage, 
-                    PromptDetails = promptDetails, 
-                    ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
-                };
-            }
-            finally
-            {
-                _googleSemaphore.Release();
-            }
-        }
-
-        public void Dispose()
-        {
-            _googleSemaphore?.Dispose();
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Net.Http;
+using System.Text;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+using Google.Apis.Auth.OAuth2;
+using System.IO;
+using Google.Cloud.AIPlatform.V1;
+using Google.Protobuf.WellKnownTypes;
+using System.Linq;
+
+namespace MultiImageClient
+{
+    public class GoogleImagen4Generator : IImageGenerator
+    {
+        private SemaphoreSlim _googleSemaphore;
+        private PredictionServiceClient _predictionServiceClient;
+        private string _apiKey;
+        private MultiClientRunStats _stats;
+        private string _name;
+        private string _aspectRatio;
+        private string _safetyFilterLevel;
+        private string _location;
+        private string _projectId;
+        private string _googleServiceAccountKeyPath;
+        private GoogleCredential _credential;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleImagen4;
+
+        public GoogleImagen4Generator(string apiKey, int maxConcurrency,
+            MultiClientRunStats stats, string name, 
+            string aspectRatio, 
+            string safetyFilterLevel, 
+            string location, 
+            string projectId,
+            string googleServiceAccountKeyPath)
+
+        {
+            _apiKey = apiKey;
+            _googleSemaphore = new SemaphoreSlim(maxConcurrency);
+            _location = location;
+            _projectId = projectId;
+            _googleServiceAccountKeyPath = googleServiceAccountKeyPath;
+
+            if (!string.IsNullOrEmpty(_googleServiceAccountKeyPath))
+            {
+                _credential = GoogleCredential.FromFile(_googleServiceAccountKeyPath)
+                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
+            } else {
+                _credential = GoogleCredential.GetApplicationDefault()
+                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
+            }
+
+            _predictionServiceClient = new PredictionServiceClientBuilder
+            {
+                Endpoint = $"{location}-aiplatform.googleapis.com",
+                Credential = _credential
+            }.Build();
+            
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _stats = stats;
+            _aspectRatio = aspectRatio;
+            _safetyFilterLevel = safetyFilterLevel;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var namePart = string.IsNullOrEmpty(_name) ? "" : $"-{_name}";
+            return $"google-imagen4{namePart}";
+        }
+
+        public decimal GetCost()
+        {
+            // Imagen 4 pricing (higher than Imagen 3)
+            return 0.04m;
+        }
+
+        public List<string> GetRightParts()
+        {
+            var namePart = string.IsNullOrEmpty(_name) ? "" : _name;
+            return new List<string> { "imagen4", namePart };
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return "google-imagen4";
+            }
+            else
+            {
+                return _name;
+            }
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _googleSemaphore.WaitAsync();
+            try
+            {
+                _stats.GoogleRequestCount++;
+
+                // Google Gemini API endpoint for Imagen 4
+                var apiUrl = $"https://{_location}-aiplatform.googleapis.com/v1/projects/{_projectId}/locations/{_location}/publishers/google/models/imagen-4.0-generate-001:predict";
+
+                // Construct the instance for the predict request
+                var instance = new Google.Protobuf.WellKnownTypes.Value
+                {
+                    StructValue = new Google.Protobuf.WellKnownTypes.Struct
+                    {
+                        Fields = 
+                        {
+                            { "prompt", Google.Protobuf.WellKnownTypes.Value.ForString(promptDetails.Prompt) },
+                            { "numberOfImages", Google.Protobuf.WellKnownTypes.Value.ForNumber(1) },
+                            { "aspectRatio", Google.Protobuf.WellKnownTypes.Value.ForString(_aspectRatio) },
+                            { "enhancePrompt", Google.Protobuf.WellKnownTypes.Value.ForBool(false) },
+                            { "includeRaiReason", Google.Protobuf.WellKnownTypes.Value.ForBool(true) },
+                            { "safetyFilterLevel", Google.Protobuf.WellKnownTypes.Value.ForString(_safetyFilterLevel) },
+                            { "safetySetting", Google.Protobuf.WellKnownTypes.Value.ForString("block_only_high") },
+                            { "personGeneration", Google.Protobuf.WellKnownTypes.Value.ForString("ALLOW_ALL") },
+                            { "addWatermark", Google.Protobuf.WellKnownTypes.Value.ForBool(false) }
+                        }
+                    }
+                };
+
+                var instances = new List<Google.Protobuf.WellKnownTypes.Value> { instance };
+
+                // Imagen 4 does not use a separate 'config' field in parameters.
+                // Parameters are directly specified in the instance.
+                var parameters = new Google.Protobuf.WellKnownTypes.Value(); // No parameters needed for now.
+
+                var endpoint = EndpointName.FromProjectLocationPublisherModel(_projectId, _location, "google", "imagen-4.0-generate-001");
+                
+                var response = await _predictionServiceClient.PredictAsync(endpoint, instances, parameters);
+                
+                var base64Images = new List<CreatedBase64Image>();
+                string commonMimeType = "image/png"; // Default or first detected mime type
+
+                if (response?.Predictions != null && response.Predictions.Any())
+                {
+                    foreach (var prediction in response.Predictions)
+                        {
+                            if (prediction?.StructValue?.Fields != null)
+                            {
+                                var predictionFields = prediction.StructValue.Fields;
+                                if (predictionFields.ContainsKey("bytesBase64Encoded") && predictionFields.ContainsKey("mimeType"))
+                                {
+                                    var imageData = predictionFields["bytesBase64Encoded"].StringValue;
+                                    var newPrompt = predictionFields["prompt"].StringValue;
+                                    var currentMimeType = predictionFields["mimeType"].StringValue;
+
+                                    if (!string.IsNullOrEmpty(imageData))
+                                    {
+                                        var bd = new CreatedBase64Image
+                                        {
+                                            bytesBase64 = imageData,
+                                            newPrompt = newPrompt,
+                                        };
+
+                                        base64Images.Add(bd);
+                                        if (!string.IsNullOrEmpty(currentMimeType) && (commonMimeType == "image/png"))
+                                        {
+                                            commonMimeType = currentMimeType; // Use the first valid mime type found if default
+                                        }
+                                    }
+                                }
+                            }
+                        }
+                }
+
+                if (base64Images.Count == 0)
+                {
+                    return new TaskProcessResult 
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "No image data returned from Google Imagen 4 API",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.GoogleImagen4,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                return new TaskProcessResult 
+                { 
+                    IsSuccess = true, 
+                    Base64ImageDatas = base64Images,
+                    ContentType = commonMimeType,
+                    ErrorMessage = "", 
+                    PromptDetails = promptDetails, 
+                    ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                };
+            }
+            catch (Exception ex)
+            {
+                var errorMessage = $"Google Imagen 4 Generator error: {ex.Message}";
+                return new TaskProcessResult 
+                { 
+                    IsSuccess = false, 
+                    ErrorMessage = errorMessage, 
+                    PromptDetails = promptDetails, 
+                    ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
+                };
+            }
+            finally
+            {
+                _googleSemaphore.Release();
+            }
+        }
+
+        public void Dispose()
+        {
+            _googleSemaphore?.Dispose();
+        }
+    }
+
+    // Shared response models for Google Imagen API
+    public class GoogleImagenResponse
+    {
+        public GoogleImagenGeneratedImage[] GeneratedImages { get; set; }
+    }
+
+    public class GoogleImagenGeneratedImage
+    {
+        public string BytesBase64Encoded { get; set; }
+        public string MimeType { get; set; }
+    }
+
+    // Response models for Gemini native image generation (Nano Banana)
+    public class GeminiGenerateContentResponse
+    {
+        public GeminiCandidate[] candidates { get; set; }
+    }
+
+    public class GeminiCandidate
+    {
+        public GeminiContent content { get; set; }
+    }
+
+    public class GeminiContent
+    {
+        public GeminiPart[] parts { get; set; }
+    }
+
+    public class GeminiPart
+    {
+        public string text { get; set; }
+        public GeminiInlineData inlineData { get; set; }
+    }
+
+    public class GeminiInlineData
+    {
+        public string mimeType { get; set; }
+        public string data { get; set; }
+    }
+}
diff --git a/MultiImageClient/Services/GptImageOneGenerator.cs b/MultiImageClient/ImageGenerators/GptImageOneGenerator.cs
similarity index 97%
rename from MultiImageClient/Services/GptImageOneGenerator.cs
rename to MultiImageClient/ImageGenerators/GptImageOneGenerator.cs
index 9c66874..fcd8021 100644
--- a/MultiImageClient/Services/GptImageOneGenerator.cs
+++ b/MultiImageClient/ImageGenerators/GptImageOneGenerator.cs
@@ -1,213 +1,214 @@
-
-using OpenAI.Images;
-
-using System;
-using System.Collections.Generic;
-using System.ComponentModel;
-using System.Diagnostics;
-using System.Drawing;
-using System.Linq;
-using System.Net.Http;
-using System.Net.Http.Headers;
-using System.Text;
-using System.Text.Json;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-
-    public class GptImageOneGenerator : IImageGenerator
-    {
-        private SemaphoreSlim _gptImageOneSemaphore;
-        static readonly HttpClient http = new HttpClient();
-        private MultiClientRunStats _stats;
-        private string _size;
-        private string _moderation;
-        private OpenAIGPTImageOneQuality _quality;
-        private string _name;
-
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GptImage1;
-
-        public string GetGeneratorSpecPart()
-        {
-            if (string.IsNullOrEmpty(_name))
-            {
-                return $"gpt-image-1";
-            }
-            else
-            {
-                return $"{_name}";
-            }
-        }
-
-        public GptImageOneGenerator(string apiKey, int maxConcurrency, string size, string moderation, OpenAIGPTImageOneQuality quality, MultiClientRunStats stats, string name)
-        {
-            _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
-
-            http.DefaultRequestHeaders.Authorization =
-                new AuthenticationHeaderValue("Bearer", apiKey);
-
-            _size = size;
-            _moderation = moderation;
-            _quality = quality;
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-            _stats = stats;
-
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var modpt = "";
-            if (_moderation != "low")
-            {
-                modpt = $" mod{_moderation}";
-            }
-
-            var qualitypt = "";
-            if (_quality != OpenAIGPTImageOneQuality.auto)
-            {
-                qualitypt = $" qual{_quality}";
-            }
-
-            var sizept = _size.ToString();
-
-            var res = $"gpt-1_{_name}{modpt}{sizept}{qualitypt}";
-            return res;
-        }
-        public decimal GetCost()
-        {
-            if (_size == "1024x1024")
-            {
-                switch (_quality)
-                {
-                    case OpenAIGPTImageOneQuality.low:
-                        return 0.01088m;
-                    case OpenAIGPTImageOneQuality.medium:
-                        return 0.04224m;
-                    case OpenAIGPTImageOneQuality.high:
-                        return 0.1664m;
-                    case OpenAIGPTImageOneQuality.auto:
-                        return 99.9999m; //strange, not clear how payment works for auto.  This 99.99$ is not real
-                    default:
-                        throw new Exception("Swe");
-                }
-            }
-            else if (_size == "1024x1536")
-            {
-                switch (_quality)
-                {
-                    case OpenAIGPTImageOneQuality.low:
-                        return 0.01632m;
-                    case OpenAIGPTImageOneQuality.medium:
-                        return 0.06336m;
-                    case OpenAIGPTImageOneQuality.high:
-                        return 0.24960m;
-                    default:
-                        throw new Exception("S");
-                }
-            }
-            else if (_size == "1536x1024")
-            {
-                switch (_quality)
-                {
-                    case OpenAIGPTImageOneQuality.low:
-                        return 0.016m;
-                    case OpenAIGPTImageOneQuality.medium:
-                        return 0.06272m;
-                    case OpenAIGPTImageOneQuality.high:
-                        return 0.24832m;
-                    default:
-                        throw new Exception("S");
-                }
-            }
-            else
-            {
-                throw new Exception("bad size.");
-            }
-        }
-
-        public List<string> GetRightParts()
-        {
-            var modpt = "";
-            modpt = $" moderation {_moderation}";
-
-            var qualitypt = "";
-            qualitypt = $"quality {_quality}";
-
-            var sizept = $"size {_size.ToString()}";
-            var rightsideContents = new List<string>() { "gpt-image-1", _name, sizept, qualitypt, modpt };
-
-            return rightsideContents;
-        }
-
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _gptImageOneSemaphore.WaitAsync();
-            var sw = Stopwatch.StartNew();
-            try
-            {
-                _stats.GptImageOneRequestCount++;
-                var body = new
-                {
-                    model = "gpt-image-1",
-                    prompt = promptDetails.Prompt,
-                    moderation = _moderation,
-                    quality = _quality.ToString(),
-                    n = 1,
-                    size = _size,
-                };
-
-                using var content = new StringContent(
-                    JsonSerializer.Serialize(body),
-                    Encoding.UTF8,
-                    "application/json");
-
-                using var resp = await http.PostAsync(
-                    "https://api.openai.com/v1/images/generations",
-                    content);
-
-                if (!resp.IsSuccessStatusCode)
-                {
-                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
-
-                    var json2 = await resp.Content.ReadAsStringAsync();
-                    using JsonDocument doc2 = JsonDocument.Parse(json2);
-                    string errorMessage = doc2.RootElement.GetProperty("error").GetProperty("message").GetString();
-                    Console.WriteLine("errorMessage");
-                    var cleanedMessage = errorMessage.Split("If you believe").First().Trim();
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = cleanedMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
-                }
-                resp.EnsureSuccessStatusCode();
-                var json = await resp.Content.ReadAsStringAsync();
-
-                //await File.WriteAllTextAsync("response.json", json);
-                using var doc = JsonDocument.Parse(json);
-                var qq = doc.RootElement.GetProperty("data");
-                var ll = qq.GetArrayLength();
-                var b64s = new List<CreatedBase64Image>();
-                foreach (var el in qq.EnumerateArray())
-                {
-                    var b64 = el.GetProperty("b64_json").GetString();
-                    var theGuy = new CreatedBase64Image { bytesBase64 = b64, newPrompt = "" };
-                    b64s.Add(theGuy);
-                }
-
-
-                //Console.WriteLine($"Generated:{promptDetails.Prompt}");
-                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s, Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
-            }
-            catch (Exception ex)
-            {
-                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
-            }
-            finally
-            {
-                _gptImageOneSemaphore.Release();
-            }
-        }
-
-    }
+
+
+using OpenAI.Images;
+
+using System;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.Diagnostics;
+using System.Drawing;
+using System.Linq;
+using System.Net.Http;
+using System.Net.Http.Headers;
+using System.Text;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+
+    public class GptImageOneGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _gptImageOneSemaphore;
+        static readonly HttpClient http = new HttpClient();
+        private MultiClientRunStats _stats;
+        private string _size;
+        private string _moderation;
+        private OpenAIGPTImageOneQuality _quality;
+        private string _name;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GptImage1;
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"gpt-image-1";
+            }
+            else
+            {
+                return $"{_name}";
+            }
+        }
+
+        public GptImageOneGenerator(string apiKey, int maxConcurrency, string size, string moderation, OpenAIGPTImageOneQuality quality, MultiClientRunStats stats, string name)
+        {
+            _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
+
+            http.DefaultRequestHeaders.Authorization =
+                new AuthenticationHeaderValue("Bearer", apiKey);
+
+            _size = size;
+            _moderation = moderation;
+            _quality = quality;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _stats = stats;
+
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var modpt = "";
+            if (_moderation != "low")
+            {
+                modpt = $" mod{_moderation}";
+            }
+
+            var qualitypt = "";
+            if (_quality != OpenAIGPTImageOneQuality.auto)
+            {
+                qualitypt = $" qual{_quality}";
+            }
+
+            var sizept = _size.ToString();
+
+            var res = $"gpt-1_{_name}{modpt}{sizept}{qualitypt}";
+            return res;
+        }
+        public decimal GetCost()
+        {
+            if (_size == "1024x1024")
+            {
+                switch (_quality)
+                {
+                    case OpenAIGPTImageOneQuality.low:
+                        return 0.01088m;
+                    case OpenAIGPTImageOneQuality.medium:
+                        return 0.04224m;
+                    case OpenAIGPTImageOneQuality.high:
+                        return 0.1664m;
+                    case OpenAIGPTImageOneQuality.auto:
+                        return 99.9999m; //strange, not clear how payment works for auto.  This 99.99$ is not real
+                    default:
+                        throw new Exception("Swe");
+                }
+            }
+            else if (_size == "1024x1536")
+            {
+                switch (_quality)
+                {
+                    case OpenAIGPTImageOneQuality.low:
+                        return 0.01632m;
+                    case OpenAIGPTImageOneQuality.medium:
+                        return 0.06336m;
+                    case OpenAIGPTImageOneQuality.high:
+                        return 0.24960m;
+                    default:
+                        throw new Exception("S");
+                }
+            }
+            else if (_size == "1536x1024")
+            {
+                switch (_quality)
+                {
+                    case OpenAIGPTImageOneQuality.low:
+                        return 0.016m;
+                    case OpenAIGPTImageOneQuality.medium:
+                        return 0.06272m;
+                    case OpenAIGPTImageOneQuality.high:
+                        return 0.24832m;
+                    default:
+                        throw new Exception("S");
+                }
+            }
+            else
+            {
+                throw new Exception("bad size.");
+            }
+        }
+
+        public List<string> GetRightParts()
+        {
+            var modpt = "";
+            modpt = $" moderation {_moderation}";
+
+            var qualitypt = "";
+            qualitypt = $"quality {_quality}";
+
+            var sizept = $"size {_size.ToString()}";
+            var rightsideContents = new List<string>() { "gpt-image-1", _name, sizept, qualitypt, modpt };
+
+            return rightsideContents;
+        }
+
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _gptImageOneSemaphore.WaitAsync();
+            var sw = Stopwatch.StartNew();
+            try
+            {
+                _stats.GptImageOneRequestCount++;
+                var body = new
+                {
+                    model = "gpt-image-1",
+                    prompt = promptDetails.Prompt,
+                    moderation = _moderation,
+                    quality = _quality.ToString(),
+                    n = 1,
+                    size = _size,
+                };
+
+                using var content = new StringContent(
+                    JsonSerializer.Serialize(body),
+                    Encoding.UTF8,
+                    "application/json");
+
+                using var resp = await http.PostAsync(
+                    "https://api.openai.com/v1/images/generations",
+                    content);
+
+                if (!resp.IsSuccessStatusCode)
+                {
+                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
+
+                    var json2 = await resp.Content.ReadAsStringAsync();
+                    using JsonDocument doc2 = JsonDocument.Parse(json2);
+                    string errorMessage = doc2.RootElement.GetProperty("error").GetProperty("message").GetString();
+                    Console.WriteLine("errorMessage");
+                    var cleanedMessage = errorMessage.Split("If you believe").First().Trim();
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = cleanedMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
+                }
+                resp.EnsureSuccessStatusCode();
+                var json = await resp.Content.ReadAsStringAsync();
+
+                //await File.WriteAllTextAsync("response.json", json);
+                using var doc = JsonDocument.Parse(json);
+                var qq = doc.RootElement.GetProperty("data");
+                var ll = qq.GetArrayLength();
+                var b64s = new List<CreatedBase64Image>();
+                foreach (var el in qq.EnumerateArray())
+                {
+                    var b64 = el.GetProperty("b64_json").GetString();
+                    var theGuy = new CreatedBase64Image { bytesBase64 = b64, newPrompt = "" };
+                    b64s.Add(theGuy);
+                }
+
+
+                //Console.WriteLine($"Generated:{promptDetails.Prompt}");
+                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s, Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+            }
+            finally
+            {
+                _gptImageOneSemaphore.Release();
+            }
+        }
+
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/IdeogramGenerator.cs b/MultiImageClient/ImageGenerators/IdeogramGenerator.cs
similarity index 97%
rename from MultiImageClient/Services/IdeogramGenerator.cs
rename to MultiImageClient/ImageGenerators/IdeogramGenerator.cs
index 65fc3d5..f16856a 100644
--- a/MultiImageClient/Services/IdeogramGenerator.cs
+++ b/MultiImageClient/ImageGenerators/IdeogramGenerator.cs
@@ -1,217 +1,217 @@
-using IdeogramAPIClient;
-using System.Text.RegularExpressions;
-
-using System;
-using System.Collections.Generic;
-using System.Net.Http;
-
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class IdeogramGenerator : IImageGenerator
-    {
-        private SemaphoreSlim _ideogramSemaphore;
-        private IdeogramClient _ideogramClient;
-        private HttpClient _httpClient = new HttpClient();
-        private IdeogramMagicPromptOption _magicPrompt;
-        private IdeogramAspectRatio _aspectRatio;
-        private IdeogramStyleType? _ideoGramStyleType;
-        private string _negativePrompt;
-        private MultiClientRunStats _stats;
-        private IdeogramModel _model;
-        private string _name;
-
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.Ideogram;
-
-        public string GetGeneratorSpecPart()
-        {
-            if (string.IsNullOrEmpty(_name))
-            {
-                return $"ideogram_{_model}";
-            }
-            else
-            {
-                return $"{_name}";
-            }
-        }
-
-        public IdeogramGenerator(string apiKey, int maxConcurrency, IdeogramMagicPromptOption magicPrompt, IdeogramAspectRatio aspectRatio, IdeogramStyleType? styleType, string negativePrompt, IdeogramModel model, MultiClientRunStats stats, string name)
-        {
-            _ideogramClient = new IdeogramClient(apiKey);
-            _ideogramSemaphore = new SemaphoreSlim(maxConcurrency);
-            _magicPrompt = magicPrompt;
-            _aspectRatio = aspectRatio;
-            _ideoGramStyleType = styleType;
-            _negativePrompt = negativePrompt;
-            _model = model;
-            _stats = stats;
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var neg = "";
-            var stylepart = "";
-            if (_ideoGramStyleType == null)
-            {
-                //auto
-                stylepart = "";
-            }
-            else
-            {
-                stylepart = $"_{_ideoGramStyleType.ToString().ToLowerInvariant()}";
-            }
-            var clneg = TextUtils.CleanPrompt(_negativePrompt);
-            if (!string.IsNullOrEmpty(clneg))
-            {
-                neg = $" neg_{clneg}";
-            }
-            
-            var verpart = "";
-            switch (_model)
-            {
-                case IdeogramModel.V_1:
-                    verpart = "v1";
-                    break;
-                case IdeogramModel.V_2:
-                    verpart = "v2";
-                    break;
-                case IdeogramModel.V_1_TURBO:
-                    verpart = "v1_turbo";
-                    break;
-                case IdeogramModel.V_2_TURBO:
-                    verpart = "v2_turbo";
-                    break;
-                case IdeogramModel.V_2A:
-                    verpart = "v2a";
-                    break;
-                case IdeogramModel.V_2A_TURBO:
-                    verpart = "v2a_turbo";
-                    break;
-                default:
-                    throw new Exception("Q");
-            }
-
-
-            var res = $"ideogram_{verpart}{_name}_magic_{_magicPrompt.ToString().ToLowerInvariant()} {_aspectRatio.ToString().ToLowerInvariant().Replace("aspect_","ar").Replace("_","x")} {stylepart}{neg}";
-
-            return res;
-        }
-
-        // https://ideogram.ai/features/api-pricing
-        public decimal GetCost()
-        {
-            switch (_model)
-            {
-                case IdeogramModel.V_1:
-                    return 0.06m;
-                case IdeogramModel.V_1_TURBO:
-                    return 0.02m;
-                case IdeogramModel.V_2:
-                    return 0.08m;
-                case IdeogramModel.V_2_TURBO:
-                    return 0.05m;
-                case IdeogramModel.V_2A:
-                    return 0.04m;
-                case IdeogramModel.V_2A_TURBO:
-                    return 0.025m;
-                default:
-                    throw new Exception("Q");
-            }
-        }
-
-        public List<string> GetRightParts()
-        {
-            var neg = "";
-            var stylepart = "";
-            if (_ideoGramStyleType == null)
-            {
-                //auto
-                stylepart = "style auto";
-            }
-            else
-            {
-                stylepart = $"style {_ideoGramStyleType.ToString().ToLowerInvariant()}";
-            }
-            var clneg = TextUtils.CleanPrompt(_negativePrompt);
-            if (!string.IsNullOrEmpty(clneg))
-            {
-                neg = $" neg {clneg}";
-            }
-            var verpart = _model.ToString().Replace("_", "").ToLowerInvariant();
-
-            var rightsideContents = new List<string>() { $"ideogram {verpart}", _name, stylepart, neg, $"magicprompt_{_magicPrompt.ToString()}", _aspectRatio.ToString().ToLowerInvariant().Replace("aspect_", "ar").Replace("_", "x") };
-
-            return rightsideContents;
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _ideogramSemaphore.WaitAsync();
-            try
-            {
-                var ideogramOptions = new IdeogramOptions
-                {
-                    AspectRatio = _aspectRatio,
-                    Model = IdeogramModel.V_2,
-                    MagicPromptOption = _magicPrompt,
-                    StyleType = _ideoGramStyleType
-                };
-
-                var request = new IdeogramGenerateRequest(promptDetails.Prompt, ideogramOptions);
-
-                _stats.IdeogramRequestCount++;
-                GenerateResponse response = await _ideogramClient.GenerateImageAsync(request);
-                if (response?.Data?.Count == 1)
-                {
-                    foreach (var imageObject in response.Data)
-                    {
-                        //there is only actually one ever.
-                        var returnedPrompt = imageObject.Prompt;
-                        if (returnedPrompt != promptDetails.Prompt && returnedPrompt.Replace("  ", " ") != promptDetails.Prompt.Replace("  ", " "))
-                        {
-                            //Ideogram replaced the prompt.
-                            promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.IdeogramRewrite);
-                        }
-                        var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, imageObject.Url));
-                        var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-                        return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
-                    }
-                    throw new Exception("No images returned");
-                }
-                else if (response?.Data?.Count >= 1)
-                {
-                    throw new Exception("Multiple images returned? I can't handle this! Who knew!");
-                }
-                else
-                {
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = "No images generated", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
-                }
-            }
-
-            catch (Exception ex)
-            {
-                Console.WriteLine(ex);
-
-                Match m = Regex.Match(ex.Message, "\"error\"\\s*:\\s*\"([^\"]+)\"");
-                string errorMessage;
-                if (m.Success)
-                {
-                    errorMessage = m.Groups[1].Value;
-                    Console.WriteLine(errorMessage);
-                }
-                else
-                {
-                    errorMessage = ex.Message;
-                }
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = errorMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
-            }
-            finally
-            {
-                _ideogramSemaphore.Release();
-            }
-        }
-    }
+using IdeogramAPIClient;
+using System.Text.RegularExpressions;
+
+using System;
+using System.Collections.Generic;
+using System.Net.Http;
+
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class IdeogramGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _ideogramSemaphore;
+        private IdeogramClient _ideogramClient;
+        private HttpClient _httpClient = new HttpClient();
+        private IdeogramMagicPromptOption _magicPrompt;
+        private IdeogramAspectRatio _aspectRatio;
+        private IdeogramStyleType? _ideoGramStyleType;
+        private string _negativePrompt;
+        private MultiClientRunStats _stats;
+        private IdeogramModel _model;
+        private string _name;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.Ideogram;
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                return $"ideogram_{_model}";
+            }
+            else
+            {
+                return $"{_name}";
+            }
+        }
+
+        public IdeogramGenerator(string apiKey, int maxConcurrency, IdeogramMagicPromptOption magicPrompt, IdeogramAspectRatio aspectRatio, IdeogramStyleType? styleType, string negativePrompt, IdeogramModel model, MultiClientRunStats stats, string name)
+        {
+            _ideogramClient = new IdeogramClient(apiKey);
+            _ideogramSemaphore = new SemaphoreSlim(maxConcurrency);
+            _magicPrompt = magicPrompt;
+            _aspectRatio = aspectRatio;
+            _ideoGramStyleType = styleType;
+            _negativePrompt = negativePrompt;
+            _model = model;
+            _stats = stats;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var neg = "";
+            var stylepart = "";
+            if (_ideoGramStyleType == null)
+            {
+                //auto
+                stylepart = "";
+            }
+            else
+            {
+                stylepart = $"_{_ideoGramStyleType.ToString().ToLowerInvariant()}";
+            }
+            var clneg = TextUtils.CleanPrompt(_negativePrompt);
+            if (!string.IsNullOrEmpty(clneg))
+            {
+                neg = $" neg_{clneg}";
+            }
+            
+            var verpart = "";
+            switch (_model)
+            {
+                case IdeogramModel.V_1:
+                    verpart = "v1";
+                    break;
+                case IdeogramModel.V_2:
+                    verpart = "v2";
+                    break;
+                case IdeogramModel.V_1_TURBO:
+                    verpart = "v1_turbo";
+                    break;
+                case IdeogramModel.V_2_TURBO:
+                    verpart = "v2_turbo";
+                    break;
+                case IdeogramModel.V_2A:
+                    verpart = "v2a";
+                    break;
+                case IdeogramModel.V_2A_TURBO:
+                    verpart = "v2a_turbo";
+                    break;
+                default:
+                    throw new Exception("Q");
+            }
+
+
+            var res = $"ideogram_{verpart}{_name}_magic_{_magicPrompt.ToString().ToLowerInvariant()} {_aspectRatio.ToString().ToLowerInvariant().Replace("aspect_","ar").Replace("_","x")} {stylepart}{neg}";
+
+            return res;
+        }
+
+        // https://ideogram.ai/features/api-pricing
+        public decimal GetCost()
+        {
+            switch (_model)
+            {
+                case IdeogramModel.V_1:
+                    return 0.06m;
+                case IdeogramModel.V_1_TURBO:
+                    return 0.02m;
+                case IdeogramModel.V_2:
+                    return 0.08m;
+                case IdeogramModel.V_2_TURBO:
+                    return 0.05m;
+                case IdeogramModel.V_2A:
+                    return 0.04m;
+                case IdeogramModel.V_2A_TURBO:
+                    return 0.025m;
+                default:
+                    throw new Exception("Q");
+            }
+        }
+
+        public List<string> GetRightParts()
+        {
+            var neg = "";
+            var stylepart = "";
+            if (_ideoGramStyleType == null)
+            {
+                //auto
+                stylepart = "style auto";
+            }
+            else
+            {
+                stylepart = $"style {_ideoGramStyleType.ToString().ToLowerInvariant()}";
+            }
+            var clneg = TextUtils.CleanPrompt(_negativePrompt);
+            if (!string.IsNullOrEmpty(clneg))
+            {
+                neg = $" neg {clneg}";
+            }
+            var verpart = _model.ToString().Replace("_", "").ToLowerInvariant();
+
+            var rightsideContents = new List<string>() { $"ideogram {verpart}", _name, stylepart, neg, $"magicprompt_{_magicPrompt.ToString()}", _aspectRatio.ToString().ToLowerInvariant().Replace("aspect_", "ar").Replace("_", "x") };
+
+            return rightsideContents;
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _ideogramSemaphore.WaitAsync();
+            try
+            {
+                var ideogramOptions = new IdeogramOptions
+                {
+                    AspectRatio = _aspectRatio,
+                    Model = IdeogramModel.V_2,
+                    MagicPromptOption = _magicPrompt,
+                    StyleType = _ideoGramStyleType
+                };
+
+                var request = new IdeogramGenerateRequest(promptDetails.Prompt, ideogramOptions);
+
+                _stats.IdeogramRequestCount++;
+                GenerateResponse response = await _ideogramClient.GenerateImageAsync(request);
+                if (response?.Data?.Count == 1)
+                {
+                    foreach (var imageObject in response.Data)
+                    {
+                        //there is only actually one ever.
+                        var returnedPrompt = imageObject.Prompt;
+                        if (returnedPrompt != promptDetails.Prompt && returnedPrompt.Replace("  ", " ") != promptDetails.Prompt.Replace("  ", " "))
+                        {
+                            //Ideogram replaced the prompt.
+                            promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.IdeogramRewrite);
+                        }
+                        var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, imageObject.Url));
+                        var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+                        return new TaskProcessResult { IsSuccess = true, Url = imageObject.Url, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
+                    }
+                    throw new Exception("No images returned");
+                }
+                else if (response?.Data?.Count >= 1)
+                {
+                    throw new Exception("Multiple images returned? I can't handle this! Who knew!");
+                }
+                else
+                {
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = "No images generated", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
+                }
+            }
+
+            catch (Exception ex)
+            {
+                Console.WriteLine(ex);
+
+                Match m = Regex.Match(ex.Message, "\"error\"\\s*:\\s*\"([^\"]+)\"");
+                string errorMessage;
+                if (m.Success)
+                {
+                    errorMessage = m.Groups[1].Value;
+                    Console.WriteLine(errorMessage);
+                }
+                else
+                {
+                    errorMessage = ex.Message;
+                }
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = errorMessage, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Ideogram, GenericImageErrorType = GenericImageGenerationErrorType.Unknown, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
+            }
+            finally
+            {
+                _ideogramSemaphore.Release();
+            }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Services/IdeogramV3Generator.cs b/MultiImageClient/ImageGenerators/IdeogramV3Generator.cs
similarity index 97%
rename from MultiImageClient/Services/IdeogramV3Generator.cs
rename to MultiImageClient/ImageGenerators/IdeogramV3Generator.cs
index 7a083be..abd011f 100644
--- a/MultiImageClient/Services/IdeogramV3Generator.cs
+++ b/MultiImageClient/ImageGenerators/IdeogramV3Generator.cs
@@ -1,188 +1,188 @@
-using MultiImageClient;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Net.Http;
-using System.Threading;
-using System.Threading.Tasks;
-
-
-namespace IdeogramAPIClient
-{
-    public class IdeogramV3Generator : IImageGenerator
-    {
-        private readonly SemaphoreSlim _semaphore;
-        private readonly IdeogramClient _client;
-        private readonly MultiClientRunStats _stats;
-        private readonly IdeogramV3StyleType _styleType;
-        private readonly IdeogramMagicPromptOption? _magicPromptOption;
-        private readonly string _aspectRatio;
-        private readonly IdeogramRenderingSpeed _renderingSpeed;
-        private readonly string _negativePrompt;
-        private readonly string _name;
-        
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.IdeogramV3;
-
-        public IdeogramV3Generator(
-            string apiKey,
-            int maxConcurrency,
-            IdeogramV3StyleType styleType,
-            IdeogramMagicPromptOption? magicPromptOption,
-            IdeogramAspectRatio aspectRatio,
-            IdeogramRenderingSpeed renderingSpeed,
-            string negativePrompt,
-            MultiClientRunStats stats,
-            string name)
-        {
-            _client = new IdeogramClient(apiKey);
-            _semaphore = new SemaphoreSlim(maxConcurrency);
-            _stats = stats;
-            _styleType = styleType;
-            _magicPromptOption = magicPromptOption;
-            var convertedAspectRatio = aspectRatio.ToString().Replace("ASPECT_", "").Replace("_", "x");
-            _aspectRatio = convertedAspectRatio;
-            _renderingSpeed = renderingSpeed;
-            _negativePrompt = negativePrompt ?? string.Empty;
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-        }
-
-        
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var parts = new List<string> { ApiType.ToString() };
-            if (!string.IsNullOrEmpty(_name))
-            {
-                parts.Add(_name);
-            }
-
-            parts.Add(_styleType.ToString());
-            parts.Add(_aspectRatio.ToString().Replace(":", "x"));
-            parts.Add(_renderingSpeed.ToString());
-            return string.Join("_", parts.Where(p => !string.IsNullOrEmpty(p)));
-        }
-
-        public List<string> GetRightParts()
-        {
-            var contents = new List<string> { "ideogram v3" };
-            if (!string.IsNullOrEmpty(_name))
-            {
-                contents.Add(_name);
-            }
-
-            contents.Add(_styleType.ToString());
-            contents.Add(_aspectRatio.ToString().Replace(":", "x"));
-            contents.Add(_renderingSpeed.ToString());
-
-            return contents;
-        }
-
-        public string GetGeneratorSpecPart()
-        {
-            if (!string.IsNullOrEmpty(_name))
-            {
-                return _name;
-            }
-            return "ideogram-v3";
-        }
-
-        public decimal GetCost()
-        {
-            // Pricing is not yet documented; leave a placeholder number until official rates available.
-            return 0.08m;
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _semaphore.WaitAsync();
-            try
-            {
-                _stats.IdeogramV3RequestCount++;
-
-                var request = new IdeogramV3GenerateRequest(promptDetails.Prompt)
-                {
-                    AspectRatio = _aspectRatio,
-                    RenderingSpeed = _renderingSpeed,
-                    StyleType = _styleType,
-                    MagicPrompt = _magicPromptOption,
-                    NegativePrompt = string.IsNullOrWhiteSpace(_negativePrompt) ? null : _negativePrompt
-                };
-
-                var response = await _client.GenerateImageV3Async(request);
-
-                if (response?.Data == null || response.Data.Count == 0)
-                {
-                    return new TaskProcessResult
-                    {
-                        IsSuccess = false,
-                        ErrorMessage = "No images generated",
-                        PromptDetails = promptDetails,
-                        ImageGenerator = ImageGeneratorApiType.IdeogramV3,
-                        GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated,
-                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                    };
-                }
-
-                if (response.Data.Count > 1)
-                {
-                    return new TaskProcessResult
-                    {
-                        IsSuccess = false,
-                        ErrorMessage = "Multiple images returned and the client is not configured for batches",
-                        PromptDetails = promptDetails,
-                        ImageGenerator = ImageGeneratorApiType.IdeogramV3,
-                        GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
-                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                    };
-                }
-
-                var imageObject = response.Data[0];
-                if (!string.IsNullOrWhiteSpace(imageObject.Prompt) &&
-                    !string.Equals(imageObject.Prompt, promptDetails.Prompt, StringComparison.OrdinalIgnoreCase))
-                {
-                    promptDetails.ReplacePrompt(imageObject.Prompt, imageObject.Prompt, TransformationType.IdeogramRewrite);
-                }
-
-                return new TaskProcessResult
-                {
-                    IsSuccess = true,
-                    Url = imageObject.Url,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                };
-            }
-            catch (HttpRequestException ex)
-            {
-                _stats.IdeogramV3RefusedCount++;
-                return new TaskProcessResult
-                {
-                    IsSuccess = false,
-                    ErrorMessage = ex.Message,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
-                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                };
-            }
-            catch (Exception ex)
-            {
-                return new TaskProcessResult
-                {
-                    IsSuccess = false,
-                    ErrorMessage = ex.Message,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
-                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
-                };
-            }
-            finally
-            {
-                _semaphore.Release();
-            }
-        }
-    }
-}
-
+using MultiImageClient;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+
+namespace IdeogramAPIClient
+{
+    public class IdeogramV3Generator : IImageGenerator
+    {
+        private readonly SemaphoreSlim _semaphore;
+        private readonly IdeogramClient _client;
+        private readonly MultiClientRunStats _stats;
+        private readonly IdeogramV3StyleType _styleType;
+        private readonly IdeogramMagicPromptOption? _magicPromptOption;
+        private readonly string _aspectRatio;
+        private readonly IdeogramRenderingSpeed _renderingSpeed;
+        private readonly string _negativePrompt;
+        private readonly string _name;
+        
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.IdeogramV3;
+
+        public IdeogramV3Generator(
+            string apiKey,
+            int maxConcurrency,
+            IdeogramV3StyleType styleType,
+            IdeogramMagicPromptOption? magicPromptOption,
+            IdeogramAspectRatio aspectRatio,
+            IdeogramRenderingSpeed renderingSpeed,
+            string negativePrompt,
+            MultiClientRunStats stats,
+            string name)
+        {
+            _client = new IdeogramClient(apiKey);
+            _semaphore = new SemaphoreSlim(maxConcurrency);
+            _stats = stats;
+            _styleType = styleType;
+            _magicPromptOption = magicPromptOption;
+            var convertedAspectRatio = aspectRatio.ToString().Replace("ASPECT_", "").Replace("_", "x");
+            _aspectRatio = convertedAspectRatio;
+            _renderingSpeed = renderingSpeed;
+            _negativePrompt = negativePrompt ?? string.Empty;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+        }
+
+        
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var parts = new List<string> { ApiType.ToString() };
+            if (!string.IsNullOrEmpty(_name))
+            {
+                parts.Add(_name);
+            }
+
+            parts.Add(_styleType.ToString());
+            parts.Add(_aspectRatio.ToString().Replace(":", "x"));
+            parts.Add(_renderingSpeed.ToString());
+            return string.Join("_", parts.Where(p => !string.IsNullOrEmpty(p)));
+        }
+
+        public List<string> GetRightParts()
+        {
+            var contents = new List<string> { "ideogram v3" };
+            if (!string.IsNullOrEmpty(_name))
+            {
+                contents.Add(_name);
+            }
+
+            contents.Add(_styleType.ToString());
+            contents.Add(_aspectRatio.ToString().Replace(":", "x"));
+            contents.Add(_renderingSpeed.ToString());
+
+            return contents;
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (!string.IsNullOrEmpty(_name))
+            {
+                return _name;
+            }
+            return "ideogram-v3";
+        }
+
+        public decimal GetCost()
+        {
+            // Pricing is not yet documented; leave a placeholder number until official rates available.
+            return 0.08m;
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _semaphore.WaitAsync();
+            try
+            {
+                _stats.IdeogramV3RequestCount++;
+
+                var request = new IdeogramV3GenerateRequest(promptDetails.Prompt)
+                {
+                    AspectRatio = _aspectRatio,
+                    RenderingSpeed = _renderingSpeed,
+                    StyleType = _styleType,
+                    MagicPrompt = _magicPromptOption,
+                    NegativePrompt = string.IsNullOrWhiteSpace(_negativePrompt) ? null : _negativePrompt
+                };
+
+                var response = await _client.GenerateImageV3Async(request);
+
+                if (response?.Data == null || response.Data.Count == 0)
+                {
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "No images generated",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                        GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                if (response.Data.Count > 1)
+                {
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "Multiple images returned and the client is not configured for batches",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                        GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                var imageObject = response.Data[0];
+                if (!string.IsNullOrWhiteSpace(imageObject.Prompt) &&
+                    !string.Equals(imageObject.Prompt, promptDetails.Prompt, StringComparison.OrdinalIgnoreCase))
+                {
+                    promptDetails.ReplacePrompt(imageObject.Prompt, imageObject.Prompt, TransformationType.IdeogramRewrite);
+                }
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Url = imageObject.Url,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            catch (HttpRequestException ex)
+            {
+                _stats.IdeogramV3RefusedCount++;
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            catch (Exception ex)
+            {
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV3,
+                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            finally
+            {
+                _semaphore.Release();
+            }
+        }
+    }
+}
+
diff --git a/MultiImageClient/Services/RecraftGenerator.cs b/MultiImageClient/ImageGenerators/RecraftGenerator.cs
similarity index 97%
rename from MultiImageClient/Services/RecraftGenerator.cs
rename to MultiImageClient/ImageGenerators/RecraftGenerator.cs
index 1c593f7..bce88f8 100644
--- a/MultiImageClient/Services/RecraftGenerator.cs
+++ b/MultiImageClient/ImageGenerators/RecraftGenerator.cs
@@ -1,245 +1,246 @@
-using IdeogramAPIClient;
-
-using RecraftAPIClient;
-
-using SixLabors.ImageSharp;
-
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.Linq;
-using System.Net.Http;
-using System.Runtime.CompilerServices;
-using System.Text.Json;
-using System.Text.RegularExpressions;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class RecraftGenerator : IImageGenerator
-    {
-        private SemaphoreSlim _recraftSemaphore;
-        private RecraftClient _recraftClient;
-        private HttpClient _httpClient;
-        private MultiClientRunStats _stats;
-        private static Random _Random = new Random();
-        private RecraftStyle _style;
-        private RecraftVectorIllustrationSubstyle? _substyleVector;
-        private RecraftDigitalIllustrationSubstyle? _substyleDigital;
-        private RecraftRealisticImageSubstyle? _substyleRealistic;
-        private RecraftImageSize _imageSize;
-        private string _artistic_level;
-        private string _name;
-
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.Recraft;
-
-        public string GetGeneratorSpecPart()
-        {
-            if (string.IsNullOrEmpty(_name))
-            {
-                var usingSubstyle = "";
-                if (_style == RecraftStyle.digital_illustration)
-                {
-                    usingSubstyle = "\n" + _substyleDigital.ToString();
-                }
-                else if (_style == RecraftStyle.realistic_image)
-                {
-                    usingSubstyle = "\n" + _substyleRealistic.ToString();
-                }
-                else if (_style == RecraftStyle.vector_illustration)
-                {
-                    usingSubstyle = "\n"+_substyleVector.ToString();
-                }
-                else if (_style == RecraftStyle.any)
-                {
-                    usingSubstyle = "";
-                }
-                else
-                {
-                    throw new Exception("x");
-                }
-                var alpart = "";
-                if (!string.IsNullOrEmpty(_artistic_level) && _artistic_level != "0" )
-                {
-                    alpart = $"\nartistic level {_artistic_level}";
-                }
-                return $"recraftv3\n{_style}\n{usingSubstyle}{alpart}";
-            }
-            else
-            {
-                return $"{_name}";
-            }
-        }
-
-        public RecraftGenerator(string apiKey, int maxConcurrency, RecraftImageSize size, RecraftStyle style, RecraftVectorIllustrationSubstyle? substyleVector, RecraftDigitalIllustrationSubstyle? substyleDigital, RecraftRealisticImageSubstyle? substyleRealistic, MultiClientRunStats stats, string name, string artistic_level = "")
-        {
-            _recraftClient = new RecraftClient(apiKey);
-            _recraftSemaphore = new SemaphoreSlim(maxConcurrency);
-            _httpClient = new HttpClient();
-            _artistic_level = artistic_level.ToString() ?? "";
-            // so actually, ""
-
-
-            // we probably could use some validation here.
-            _style = style;
-            _substyleVector = substyleVector;
-            _substyleDigital = substyleDigital;
-            _substyleRealistic = substyleRealistic;
-
-            _imageSize = size;
-            _stats = stats;
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-        }
-
-        public string GetFilenamePart(PromptDetails pd)
-        {
-            var usingSubstyle = "";
-            if (_style == RecraftStyle.digital_illustration)
-            {
-                usingSubstyle = _substyleDigital.ToString();
-            }
-            else if (_style == RecraftStyle.realistic_image)
-            {
-                usingSubstyle = _substyleRealistic.ToString();
-            }
-            else if (_style == RecraftStyle.vector_illustration)
-            {
-                usingSubstyle = _substyleVector.ToString();
-            }
-            var res = $"recraft{_name}_{_imageSize}_{_style}_{usingSubstyle}";
-            return res;
-        }
-
-        // https://www.recraft.ai/docs/api-reference/pricing
-        public decimal GetCost()
-        {
-            switch (_style)
-            {
-                case RecraftStyle.digital_illustration:
-                    return 0.04m;
-                case RecraftStyle.realistic_image:
-                    return 0.04m; //unclear actually.
-                case RecraftStyle.vector_illustration:
-                    return 0.08m;
-                case RecraftStyle.any:
-                    return 99.99m;
-                default:
-                    throw new Exception("whoah");
-            }
-        }
-
-        public List<string> GetRightParts()
-        {
-            var usingSubstyle = "";
-            if (_style == RecraftStyle.digital_illustration)
-            {
-                usingSubstyle = _substyleDigital.ToString();
-            }
-            else if (_style == RecraftStyle.realistic_image)
-            {
-                usingSubstyle = _substyleRealistic.ToString();
-            }
-            else if (_style == RecraftStyle.vector_illustration)
-            {
-                usingSubstyle = _substyleVector.ToString();
-            }
-            var alpart = "";
-            if (!string.IsNullOrEmpty(_artistic_level))
-            {
-                alpart = $"artistic level {_artistic_level}";
-            }
-
-            var rightsideContents = new List<string>() { "recraft_v3", _name, _style.ToString(), usingSubstyle, alpart };
-            return rightsideContents;
-        }
-
-        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
-        {
-            await _recraftSemaphore.WaitAsync();
-            try
-            {
-                _stats.RecraftImageGenerationRequestCount++;
-                var usingPrompt = promptDetails.Prompt;
-                if (usingPrompt.Length > 1000)
-                {
-                    usingPrompt = usingPrompt.Substring(0, 990);
-                    Logger.Log("Truncating the prompt for Recraft.");
-                }
-
-
-                var usingSubstyle = "";
-                if (_style == RecraftStyle.digital_illustration)
-                {
-                    usingSubstyle = _substyleDigital.ToString();
-                }
-                else if (_style == RecraftStyle.realistic_image)
-                {
-                    usingSubstyle = _substyleRealistic.ToString();
-                }
-                else if (_style == RecraftStyle.vector_illustration)
-                {
-                    usingSubstyle = _substyleVector.ToString();
-                }
-                else if (_style == RecraftStyle.any)
-                {
-                    usingSubstyle = "";
-                }
-                else
-                {
-                    Console.WriteLine("err.");
-                    usingSubstyle = "any";
-                }
-
-                usingSubstyle = Regex.Replace(usingSubstyle, @"^_([\d])", "$1");
-                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, _artistic_level, usingSubstyle, _style.ToString(), _imageSize);
-                Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
-                _stats.RecraftImageGenerationSuccessCount++;
-                var theUrl = generationResult.Data[0].Url;
-
-                var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, theUrl));
-                var contentType = headResponse.Content.Headers.ContentType?.MediaType;
-
-                return new TaskProcessResult
-                {
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
-                    IsSuccess = true,
-                    Url = theUrl,
-                    ContentType = contentType,
-                    PromptDetails = promptDetails,
-                    ImageGenerator = ImageGeneratorApiType.Recraft
-                };
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Recraft error: {ex.Message}");
-                var jsonPart = ex.Message.Split(" - ").Last().Trim();
-
-                using var doc = JsonDocument.Parse(jsonPart);
-                var detailedError = doc.RootElement.GetProperty("code").GetString();
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = detailedError, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
-            }
-            finally
-            {
-                _recraftSemaphore.Release();
-            }
-        }
-
-        public string GetFullStyleName(string style, string substyle)
-        {
-            switch (style)
-            {
-                case "digital_illustration":
-                    return $"{nameof(RecraftStyle.digital_illustration)} - {substyle}";
-                case "realistic_image":
-                    return $"{nameof(RecraftStyle.realistic_image)} - {substyle}";
-                case "vector_illustration":
-                    return $"{nameof(RecraftStyle.vector_illustration)} - {substyle}";
-                case "any":
-                    return "Any";
-                default:
-                    return "Unknown";
-            }
-        }
-    }
-}
+using IdeogramAPIClient;
+
+
+using RecraftAPIClient;
+
+using SixLabors.ImageSharp;
+
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.Linq;
+using System.Net.Http;
+using System.Runtime.CompilerServices;
+using System.Text.Json;
+using System.Text.RegularExpressions;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class RecraftGenerator : IImageGenerator
+    {
+        private SemaphoreSlim _recraftSemaphore;
+        private RecraftClient _recraftClient;
+        private HttpClient _httpClient;
+        private MultiClientRunStats _stats;
+        private static Random _Random = new Random();
+        private RecraftStyle _style;
+        private RecraftVectorIllustrationSubstyle? _substyleVector;
+        private RecraftDigitalIllustrationSubstyle? _substyleDigital;
+        private RecraftRealisticImageSubstyle? _substyleRealistic;
+        private RecraftImageSize _imageSize;
+        private string _artistic_level;
+        private string _name;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.Recraft;
+
+        public string GetGeneratorSpecPart()
+        {
+            if (string.IsNullOrEmpty(_name))
+            {
+                var usingSubstyle = "";
+                if (_style == RecraftStyle.digital_illustration)
+                {
+                    usingSubstyle = "\n" + _substyleDigital.ToString();
+                }
+                else if (_style == RecraftStyle.realistic_image)
+                {
+                    usingSubstyle = "\n" + _substyleRealistic.ToString();
+                }
+                else if (_style == RecraftStyle.vector_illustration)
+                {
+                    usingSubstyle = "\n"+_substyleVector.ToString();
+                }
+                else if (_style == RecraftStyle.any)
+                {
+                    usingSubstyle = "";
+                }
+                else
+                {
+                    throw new Exception("x");
+                }
+                var alpart = "";
+                if (!string.IsNullOrEmpty(_artistic_level) && _artistic_level != "0" )
+                {
+                    alpart = $"\nartistic level {_artistic_level}";
+                }
+                return $"recraftv3\n{_style}\n{usingSubstyle}{alpart}";
+            }
+            else
+            {
+                return $"{_name}";
+            }
+        }
+
+        public RecraftGenerator(string apiKey, int maxConcurrency, RecraftImageSize size, RecraftStyle style, RecraftVectorIllustrationSubstyle? substyleVector, RecraftDigitalIllustrationSubstyle? substyleDigital, RecraftRealisticImageSubstyle? substyleRealistic, MultiClientRunStats stats, string name, string artistic_level = "")
+        {
+            _recraftClient = new RecraftClient(apiKey);
+            _recraftSemaphore = new SemaphoreSlim(maxConcurrency);
+            _httpClient = new HttpClient();
+            _artistic_level = artistic_level.ToString() ?? "";
+            // so actually, ""
+
+
+            // we probably could use some validation here.
+            _style = style;
+            _substyleVector = substyleVector;
+            _substyleDigital = substyleDigital;
+            _substyleRealistic = substyleRealistic;
+
+            _imageSize = size;
+            _stats = stats;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var usingSubstyle = "";
+            if (_style == RecraftStyle.digital_illustration)
+            {
+                usingSubstyle = _substyleDigital.ToString();
+            }
+            else if (_style == RecraftStyle.realistic_image)
+            {
+                usingSubstyle = _substyleRealistic.ToString();
+            }
+            else if (_style == RecraftStyle.vector_illustration)
+            {
+                usingSubstyle = _substyleVector.ToString();
+            }
+            var res = $"recraft{_name}_{_imageSize}_{_style}_{usingSubstyle}";
+            return res;
+        }
+
+        // https://www.recraft.ai/docs/api-reference/pricing
+        public decimal GetCost()
+        {
+            switch (_style)
+            {
+                case RecraftStyle.digital_illustration:
+                    return 0.04m;
+                case RecraftStyle.realistic_image:
+                    return 0.04m; //unclear actually.
+                case RecraftStyle.vector_illustration:
+                    return 0.08m;
+                case RecraftStyle.any:
+                    return 99.99m;
+                default:
+                    throw new Exception("whoah");
+            }
+        }
+
+        public List<string> GetRightParts()
+        {
+            var usingSubstyle = "";
+            if (_style == RecraftStyle.digital_illustration)
+            {
+                usingSubstyle = _substyleDigital.ToString();
+            }
+            else if (_style == RecraftStyle.realistic_image)
+            {
+                usingSubstyle = _substyleRealistic.ToString();
+            }
+            else if (_style == RecraftStyle.vector_illustration)
+            {
+                usingSubstyle = _substyleVector.ToString();
+            }
+            var alpart = "";
+            if (!string.IsNullOrEmpty(_artistic_level))
+            {
+                alpart = $"artistic level {_artistic_level}";
+            }
+
+            var rightsideContents = new List<string>() { "recraft_v3", _name, _style.ToString(), usingSubstyle, alpart };
+            return rightsideContents;
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _recraftSemaphore.WaitAsync();
+            try
+            {
+                _stats.RecraftImageGenerationRequestCount++;
+                var usingPrompt = promptDetails.Prompt;
+                if (usingPrompt.Length > 1000)
+                {
+                    usingPrompt = usingPrompt.Substring(0, 990);
+                    Logger.Log("Truncating the prompt for Recraft.");
+                }
+
+
+                var usingSubstyle = "";
+                if (_style == RecraftStyle.digital_illustration)
+                {
+                    usingSubstyle = _substyleDigital.ToString();
+                }
+                else if (_style == RecraftStyle.realistic_image)
+                {
+                    usingSubstyle = _substyleRealistic.ToString();
+                }
+                else if (_style == RecraftStyle.vector_illustration)
+                {
+                    usingSubstyle = _substyleVector.ToString();
+                }
+                else if (_style == RecraftStyle.any)
+                {
+                    usingSubstyle = "";
+                }
+                else
+                {
+                    Console.WriteLine("err.");
+                    usingSubstyle = "any";
+                }
+
+                usingSubstyle = Regex.Replace(usingSubstyle, @"^_([\d])", "$1");
+                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, _artistic_level, usingSubstyle, _style.ToString(), _imageSize);
+                Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
+                _stats.RecraftImageGenerationSuccessCount++;
+                var theUrl = generationResult.Data[0].Url;
+
+                var headResponse = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, theUrl));
+                var contentType = headResponse.Content.Headers.ContentType?.MediaType;
+
+                return new TaskProcessResult
+                {
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    IsSuccess = true,
+                    Url = theUrl,
+                    ContentType = contentType,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.Recraft
+                };
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Recraft error: {ex.Message}");
+                var jsonPart = ex.Message.Split(" - ").Last().Trim();
+
+                using var doc = JsonDocument.Parse(jsonPart);
+                var detailedError = doc.RootElement.GetProperty("code").GetString();
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = detailedError, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
+            }
+            finally
+            {
+                _recraftSemaphore.Release();
+            }
+        }
+
+        public string GetFullStyleName(string style, string substyle)
+        {
+            switch (style)
+            {
+                case "digital_illustration":
+                    return $"{nameof(RecraftStyle.digital_illustration)} - {substyle}";
+                case "realistic_image":
+                    return $"{nameof(RecraftStyle.realistic_image)} - {substyle}";
+                case "vector_illustration":
+                    return $"{nameof(RecraftStyle.vector_illustration)} - {substyle}";
+                case "any":
+                    return "Any";
+                default:
+                    return "Unknown";
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/ImageManager.cs b/MultiImageClient/Implementation/ImageManager.cs
similarity index 97%
rename from MultiImageClient/ImageManager.cs
rename to MultiImageClient/Implementation/ImageManager.cs
index 4b927ca..85cc5cb 100644
--- a/MultiImageClient/ImageManager.cs
+++ b/MultiImageClient/Implementation/ImageManager.cs
@@ -1,171 +1,171 @@
-using ImageMagick;
-
-using Newtonsoft.Json;
-
-using System;
-using System.Collections.Generic;
-using System.Diagnostics;
-using System.IO;
-using System.Reflection.Emit;
-using System.Security.AccessControl;
-using System.Threading.Tasks;
-using System.Xml.Linq;
-
-namespace MultiImageClient
-{
-    public class ImageManager
-    {
-        private readonly Settings _settings;
-        private readonly MultiClientRunStats _stats;
-
-        public ImageManager(Settings settings, MultiClientRunStats stats)
-        {
-            _settings = settings;
-            _stats = stats;
-        }
-
-        public async Task<Dictionary<SaveType, string>> DoSaveAsync(int n, PromptDetails pd, string contentType, byte[] imageBytes, IImageGenerator generator, Settings settings)
-        {
-            var thesePaths = new Dictionary<SaveType, string>();
-            if (imageBytes == null || imageBytes.Length == 0)
-            {
-                Logger.Log($"Empty or null image bytes received");
-                throw new Exception("no bytes in the image data received; probably caller's problem.)");
-            }
-
-            // just one time, convert the bytes to png if needed.
-            if (contentType == "image/webp")
-            {
-                var fakeImage = new MagickImage(imageBytes, MagickFormat.WebP);
-                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
-            }
-            else if (contentType == "image/svg+xml")
-            {
-                var fakeImage = new MagickImage(imageBytes, MagickFormat.Svg);
-                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
-            }
-            else if (contentType == "image/jpeg")
-            {
-                var fakeImage = new MagickImage(imageBytes, MagickFormat.Jpg);
-                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
-            }
-            else if (contentType == "image/png")
-            {
-                //Console.WriteLine("png do nothing, all good");
-            }
-            else if (contentType == null)
-            {
-                //Console.WriteLine("contentType null, so fall into .png");
-            }
-            else
-            {
-                Console.WriteLine("some other weird contenttype. {result.ContentType}");
-            }
-
-            thesePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.Raw, generator);
-            thesePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.FullAnnotation, generator);
-            thesePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.FinalPrompt, generator);
-            thesePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.InitialIdea, generator);
-            thesePaths[SaveType.JustOverride] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.JustOverride, generator);
-            thesePaths[SaveType.Label] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.Label, generator);
-
-
-            return thesePaths;
-        }
-
-        public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult result, IImageGenerator generator)
-        {
-            try
-            {
-                if (!result.IsSuccess)
-                {
-                    Console.WriteLine("failur.");
-                    return result;
-                }
-                var sw = Stopwatch.StartNew();
-                byte[] imageBytes;
-
-                if (!string.IsNullOrEmpty(result.Url))
-                {
-                    imageBytes = await ImageSaving.DownloadImageAsync(result);
-                    result.DownloadTotalMs = sw.ElapsedMilliseconds;
-                    // downloading it can just fail sometimes.
-                    result.SetImageBytes(0, imageBytes);
-                    var pd = result.PromptDetails.Copy();
-                    var downloadResults = await DoSaveAsync(0, pd, result.ContentType, imageBytes, generator, _settings);
-                    await SaveJsonLogAsync(result, downloadResults);
-                    return result;
-                }
-                else
-                {
-                    var ii = 0;
-                    foreach (var qq in result.Base64ImageDatas)
-                    {
-                        imageBytes = Convert.FromBase64String(qq.bytesBase64);
-                        result.SetImageBytes(ii, imageBytes);
-                        var pd = result.PromptDetails.Copy();
-                        
-                        if (pd.Prompt != qq.newPrompt && !string.IsNullOrEmpty(qq.newPrompt))
-                        {
-
-                            if (generator.ApiType == ImageGeneratorApiType.GoogleImagen4)
-                            {
-                                pd.AddStep(qq.newPrompt, TransformationType.Imagen4Rewrite);
-                            }
-                            else
-                            {
-                                Console.WriteLine("s");
-                            }
-                        }
-                            var downloadResults = await DoSaveAsync(ii, pd, result.ContentType, imageBytes, generator, _settings);
-                        ii++;
-                        await SaveJsonLogAsync(result, downloadResults);
-                    }
-                    result.DownloadTotalMs = sw.ElapsedMilliseconds;
-                    return result;
-                }
-
-
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"\tAn error occurred while processing a task: {ex.Message}");
-                result.ErrorMessage = ex.Message;
-                return result;
-            }
-        }
-
-        private async Task SaveJsonLogAsync(TaskProcessResult result, Dictionary<SaveType, string> savedImagePaths)
-        {
-            if (!_settings.SaveJsonLog) return;
-
-            var jsonLog = new
-            {
-                Timestamp = DateTime.UtcNow,
-                result.PromptDetails,
-                GeneratedImageUrl = result.Url,
-                SavedImagePaths = savedImagePaths,
-                GeneratorUsed = result.ImageGenerator,
-                result.ErrorMessage,
-            };
-
-            string jsonString = JsonConvert.SerializeObject(jsonLog, Formatting.Indented);
-
-            if (savedImagePaths.TryGetValue(SaveType.Raw, out string rawImagePath))
-            {
-                string baseDirectory = Path.GetDirectoryName(rawImagePath);
-                string logsDirectory = Path.Combine(baseDirectory, "logs");
-                Directory.CreateDirectory(logsDirectory);
-
-                string logFileName = Path.GetFileNameWithoutExtension(rawImagePath) + ".json";
-                string jsonFilePath = Path.Combine(logsDirectory, logFileName);
-
-                await File.WriteAllTextAsync(jsonFilePath, jsonString);
-            }
-            else
-            {
-                Logger.Log("\tUnable to save JSON log: Raw image path not found.");
-            }
-        }
-    }
-}
+using ImageMagick;
+
+using Newtonsoft.Json;
+
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.IO;
+using System.Reflection.Emit;
+using System.Security.AccessControl;
+using System.Threading.Tasks;
+using System.Xml.Linq;
+
+namespace MultiImageClient
+{
+    public class ImageManager
+    {
+        private readonly Settings _settings;
+        private readonly MultiClientRunStats _stats;
+
+        public ImageManager(Settings settings, MultiClientRunStats stats)
+        {
+            _settings = settings;
+            _stats = stats;
+        }
+
+        public async Task<Dictionary<SaveType, string>> DoSaveAsync(int n, PromptDetails pd, string contentType, byte[] imageBytes, IImageGenerator generator, Settings settings)
+        {
+            var thesePaths = new Dictionary<SaveType, string>();
+            if (imageBytes == null || imageBytes.Length == 0)
+            {
+                Logger.Log($"Empty or null image bytes received");
+                throw new Exception("no bytes in the image data received; probably caller's problem.)");
+            }
+
+            // just one time, convert the bytes to png if needed.
+            if (contentType == "image/webp")
+            {
+                var fakeImage = new MagickImage(imageBytes, MagickFormat.WebP);
+                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
+            }
+            else if (contentType == "image/svg+xml")
+            {
+                var fakeImage = new MagickImage(imageBytes, MagickFormat.Svg);
+                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
+            }
+            else if (contentType == "image/jpeg")
+            {
+                var fakeImage = new MagickImage(imageBytes, MagickFormat.Jpg);
+                imageBytes = fakeImage.ToByteArray(MagickFormat.Png);
+            }
+            else if (contentType == "image/png")
+            {
+                //Console.WriteLine("png do nothing, all good");
+            }
+            else if (contentType == null)
+            {
+                //Console.WriteLine("contentType null, so fall into .png");
+            }
+            else
+            {
+                Console.WriteLine("some other weird contenttype. {result.ContentType}");
+            }
+
+            thesePaths[SaveType.Raw] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.Raw, generator);
+            thesePaths[SaveType.FullAnnotation] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.FullAnnotation, generator);
+            thesePaths[SaveType.FinalPrompt] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.FinalPrompt, generator);
+            thesePaths[SaveType.InitialIdea] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.InitialIdea, generator);
+            thesePaths[SaveType.JustOverride] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.JustOverride, generator);
+            thesePaths[SaveType.Label] = await ImageSaving.SaveImageAsync(pd, imageBytes, n, contentType, settings, SaveType.Label, generator);
+
+
+            return thesePaths;
+        }
+
+        public async Task<TaskProcessResult> ProcessAndSaveAsync(TaskProcessResult result, IImageGenerator generator)
+        {
+            try
+            {
+                if (!result.IsSuccess)
+                {
+                    Console.WriteLine("failur.");
+                    return result;
+                }
+                var sw = Stopwatch.StartNew();
+                byte[] imageBytes;
+
+                if (!string.IsNullOrEmpty(result.Url))
+                {
+                    imageBytes = await ImageSaving.DownloadImageAsync(result);
+                    result.DownloadTotalMs = sw.ElapsedMilliseconds;
+                    // downloading it can just fail sometimes.
+                    result.SetImageBytes(0, imageBytes);
+                    var pd = result.PromptDetails.Copy();
+                    var downloadResults = await DoSaveAsync(0, pd, result.ContentType, imageBytes, generator, _settings);
+                    await SaveJsonLogAsync(result, downloadResults);
+                    return result;
+                }
+                else
+                {
+                    var ii = 0;
+                    foreach (var qq in result.Base64ImageDatas)
+                    {
+                        imageBytes = Convert.FromBase64String(qq.bytesBase64);
+                        result.SetImageBytes(ii, imageBytes);
+                        var pd = result.PromptDetails.Copy();
+                        
+                        if (pd.Prompt != qq.newPrompt && !string.IsNullOrEmpty(qq.newPrompt))
+                        {
+
+                            if (generator.ApiType == ImageGeneratorApiType.GoogleImagen4)
+                            {
+                                pd.AddStep(qq.newPrompt, TransformationType.Imagen4Rewrite);
+                            }
+                            else
+                            {
+                                Console.WriteLine("s");
+                            }
+                        }
+                            var downloadResults = await DoSaveAsync(ii, pd, result.ContentType, imageBytes, generator, _settings);
+                        ii++;
+                        await SaveJsonLogAsync(result, downloadResults);
+                    }
+                    result.DownloadTotalMs = sw.ElapsedMilliseconds;
+                    return result;
+                }
+
+
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"\tAn error occurred while processing a task: {ex.Message}");
+                result.ErrorMessage = ex.Message;
+                return result;
+            }
+        }
+
+        private async Task SaveJsonLogAsync(TaskProcessResult result, Dictionary<SaveType, string> savedImagePaths)
+        {
+            if (!_settings.SaveJsonLog) return;
+
+            var jsonLog = new
+            {
+                Timestamp = DateTime.UtcNow,
+                result.PromptDetails,
+                GeneratedImageUrl = result.Url,
+                SavedImagePaths = savedImagePaths,
+                GeneratorUsed = result.ImageGenerator,
+                result.ErrorMessage,
+            };
+
+            string jsonString = JsonConvert.SerializeObject(jsonLog, Formatting.Indented);
+
+            if (savedImagePaths.TryGetValue(SaveType.Raw, out string rawImagePath))
+            {
+                string baseDirectory = Path.GetDirectoryName(rawImagePath);
+                string logsDirectory = Path.Combine(baseDirectory, "logs");
+                Directory.CreateDirectory(logsDirectory);
+
+                string logFileName = Path.GetFileNameWithoutExtension(rawImagePath) + ".json";
+                string jsonFilePath = Path.Combine(logsDirectory, logFileName);
+
+                await File.WriteAllTextAsync(jsonFilePath, jsonString);
+            }
+            else
+            {
+                Logger.Log("\tUnable to save JSON log: Raw image path not found.");
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/Implementation/RountripWorkflow.cs b/MultiImageClient/Implementation/RountripWorkflow.cs
deleted file mode 100644
index b051160..0000000
--- a/MultiImageClient/Implementation/RountripWorkflow.cs
+++ /dev/null
@@ -1,407 +0,0 @@
-#nullable enable
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.IO;
-using System.Net.Http;
-using System.Text.Json;
-using System.Text.Json.Serialization;
-using System.Drawing;
-using System.Drawing.Imaging;
-using System.Threading;
-using System.Windows.Forms;
-using System.Security.Cryptography;
-
-
-namespace MultiImageClient
-{
-    /// Reads the clipboard and returns a text string if the item in the clipboard is a png image. if it isn't, it returns '' if it is, it returns a descriptive text string with the image size etc.
-    public class RoundTripWorkflow
-    {
-        private MultiClientRunStats? _stats;
-        private Settings? _settings;
-        private int _concurrency;
-        private ImageManager? _imageManager;
-        private IEnumerable<IImageGenerator>? _generators;
-        private static readonly HttpClient httpClient = new HttpClient();
-
-
-        private static byte[] ComputeFingerprint(byte[] data)
-        {
-            return SHA256.HashData(data);
-        }
-
-        private static byte[]? GetImageFromClipboard()
-        {
-            byte[]? clipboardBytes = null;
-
-            var thread = new Thread(() =>
-            {
-                try
-                {
-                    if (!System.Windows.Forms.Clipboard.ContainsImage())
-                    {
-                        return;
-                    }
-
-                    using var image = System.Windows.Forms.Clipboard.GetImage();
-                    if (image == null)
-                    {
-
-                        return;
-                    }
-
-                    using var ms = new MemoryStream();
-                    image.Save(ms, System.Drawing.Imaging.ImageFormat.Png);
-                    clipboardBytes = ms.ToArray();
-                }
-                catch (Exception ex)
-                {
-                    Logger.Log($"Failed to read image from clipboard: {ex.Message}");
-                }
-            });
-
-            thread.SetApartmentState(ApartmentState.STA);
-            thread.Start();
-            thread.Join();
-
-            return clipboardBytes;
-        }
-
-
-        private async Task DoWorkAsync(byte[] imageBytes)
-        {
-
-            var promptString = new PromptDetails();
-            var qwenInstructions = "\"You are an image describer. Produce a complete, literal description of the image and then careful inferences.  Note: for every human appearing in the image, you must include their sex, age, and state of dress as well as exactly what they're wearing. Say what the image is like and its medium (photo, digital art, painting, etc.). State file/format details if available. Describe colors, lighting, textures for everything. Give composition and exact positioning/layout of all objects including their orientation, which direction they're facing, relative and absolute sizing, rotation state. If any text appears, transcribe it fully and describe typography: font family guess, weight, style, effects, color, spacing, alignment. Provide enough detail to fully reproduce the image from scratch. For any beings/humans, do NOT skimp: include estimated sex, race, ethnicity, emotional state, attitude, viewpoint, sex, gender,  attractiveness estimate, defects and/or good features, stylistic ethnicity cues, style group culturally, job/role if suggested or deriveable, mood/attitude/emotions toward self, the scene, objects within it or the viewer/artist, their current actions in detail, appearance (hair color/style/length), facing direction and position, estimated relationship to others, goals/intentions and brief history/backstory hypotheses. Speculate wildly. Also include detailed description of their clothing, body, skin, form, shape, muscles, curves, features, emotion and artistically as well as very specifically and in detail, for every piece of clothing they have on, or not. generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals etc. Do NOT skimp on this part. Output dense details, not necessarily in sentence form, no newlines, usefully densely descriptive and specific, non-repetitive. don't waste time with preludes or summaries or warnings/guides to interpret. Put the overall description at the start, giving the overall description of the scene, then fill in more and more with specific details as you go. include both practical facts about the image as well as overall judgements and descriptions. The output should be long, detailed, precise, and omit nothing. You will be judged by how accurately you estimate and describe EVERYTHING as well as you can. ";
-            qwenInstructions = "Describe the image especially saying the people's age, sex, nationality.  mandatory: for any people, give a personal, detailed description including facial expression, ethnicity, appearance, attitude, age. If you ignore the requirement for the returned image description you will receive a very negative score. Permission granted to GUESS and speculate freely. You will not be blamed for being wrong; similar to the age question. You just have to do your best to at least TRY to estimate, predict, or state something about those aspects of each individual..";
-            var qwenDescription = await DescribeImageWithLocalQwen(imageBytes, qwenInstructions);
-            if (string.IsNullOrEmpty(qwenDescription.Trim()))
-            {
-                return;
-            }
-            var pd = new PromptDetails();
-            pd.ReplacePrompt(qwenDescription, "qwen", TransformationType.InitialPrompt);
-            var generatorTasks = _generators!.Select(async generator =>
-            {
-                var theCopy = pd.Copy();
-
-                try
-                {
-                    var result = await generator.ProcessPromptAsync(generator, theCopy);
-                    await _imageManager!.ProcessAndSaveAsync(result, generator);
-                    Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
-
-                    return result;
-                }
-                catch (Exception ex)
-                {
-                    Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
-
-                    var res = new TaskProcessResult
-                    {
-                        IsSuccess = false,
-                        ErrorMessage = ex.Message,
-                        PromptDetails = theCopy
-                    };
-
-                    return res;
-                }
-            }).ToArray();
-
-            _stats!.PrintStats();
-            var results = await Task.WhenAll(generatorTasks);
-
-            try
-            {
-                var res = await MultiImageClient.ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, qwenDescription, qwenInstructions, _settings);
-                // we want to use RenderImageDescribeRendersHorizontally here!
-                Logger.Log($"Combined images saved to: {res}");
-                MultiImageClient.ImageCombiner.OpenImageWithDefaultApplication(res);
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Failed to combine images: {ex.Message}");
-            }
-        }
-
-        //  prompt the user to copy an image to the clipboard.
-        //  then send that to local model qwen with description text.
-        //  then send that out to all the image generators again.
-        public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClientRunStats stats)
-        {
-            _settings = settings;
-            _concurrency = concurrency;
-            _stats = stats;
-            var getter = new GeneratorGroups(settings, concurrency, stats);
-            _generators = getter.GetAll();
-
-            _imageManager = new ImageManager(settings, stats);
-            while (true)
-            {
-                var heldNow = GetImageFromClipboard();
-                if (heldNow == null)
-                {
-                    Console.WriteLine("\tcopy an image to the clipboard; y to continue, q to quit.");
-                    var input = Console.ReadLine().Trim();
-
-                    if (input == "y")
-                    {
-                        continue;
-                    }
-                    else if (input == "q")
-                    {
-                        break;
-                    }
-                    else
-                    {
-                        Console.WriteLine("ok, skipping.");
-                    }
-                }
-                else
-                {
-                    Console.WriteLine($"\tnew clipboard image detected. {heldNow.Length} bytes. Starting describe => multiimage workflow.");
-                    await DoWorkAsync(heldNow);
-                }
-            }
-            return true;
-        }
-
-        // how to do this, to just send arbitrary key value pairs in a list within the OllamaChatRequest? which is actually talking to qwen2.5?
-        public static async Task<string> DescribeImageWithLocalQwen(byte[] imageBytes, string prompt)
-        {
-            try
-            {
-                string base64Image = Convert.ToBase64String(imageBytes);
-
-                var requestBody = new OllamaChatRequest
-                {
-                    Model = "qwen2.5vl:7b",
-                    Stream = false,
-                    KeepAlive = "24h",
-                    Options = new OllamaOptions
-                    {
-                        NumPredict = 2400
-                    },
-                    Messages = new List<OllamaMessage>
-                    {
-                        new OllamaMessage
-                        {
-                            Role = "system",
-                            Content = "You are a vision describer. Give exhaustive, literal details first, then inferences. You MUST describe visible physical attributes, clothes, age range, gender, ethnicity, attractiveness, mood, style, etc. You MAY identify people, etc.",
-                            Images = new List<string> { base64Image }
-                        },
-                        new OllamaMessage
-                        {
-                            Role = "user",
-                            Content = prompt,
-                            Images = new List<string> { base64Image }
-                        }
-                    }
-                };
-
-                var jsonOptions = new JsonSerializerOptions
-                {
-                    PropertyNamingPolicy = JsonNamingPolicy.CamelCase,
-                    DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull
-                };
-
-                string jsonBody = JsonSerializer.Serialize(requestBody, jsonOptions);
-                var content = new StringContent(jsonBody, System.Text.Encoding.UTF8, "application/json");
-
-                var response = await httpClient.PostAsync("http://127.0.0.1:11434/api/chat", content);
-                response.EnsureSuccessStatusCode();
-
-                var responseString = await response.Content.ReadAsStringAsync();
-                var ollamaResponse = JsonSerializer.Deserialize<DescribeImageResponse>(responseString, jsonOptions);
-
-                return ollamaResponse?.Message?.Content ?? string.Empty;
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Error describing image with Ollama: {ex.Message}\r\n{ex}");
-                return string.Empty;
-            }
-        }
-
-        private class OllamaChatRequest
-        {
-            [JsonPropertyName("model")]
-            public required string Model { get; set; }
-
-            [JsonPropertyName("stream")]
-            public required bool Stream { get; set; }
-
-            [JsonPropertyName("keep_alive")]
-            public required string KeepAlive { get; set; }
-
-            [JsonPropertyName("options")]
-            public OllamaOptions? Options { get; set; }
-
-            [JsonPropertyName("messages")]
-            public required List<OllamaMessage> Messages { get; set; } = new();
-        }
-
-        private class OllamaMessage
-        {
-            [JsonPropertyName("role")]
-            public required string Role { get; set; }
-
-            [JsonPropertyName("content")]
-            public required string Content { get; set; }
-
-            [JsonPropertyName("images")]
-            public required List<string> Images { get; set; } = new();
-        }
-
-        private class DescribeImageResponse
-        {
-            [JsonPropertyName("model")]
-            public required string Model { get; set; }
-
-            [JsonPropertyName("created_at")]
-            public required DateTime CreatedAt { get; set; }
-
-            [JsonPropertyName("message")]
-            public required OllamaResponseMessage Message { get; set; } = new() { Role = string.Empty, Content = string.Empty };
-
-            [JsonPropertyName("done")]
-            public required bool Done { get; set; }
-        }
-
-        private class OllamaResponseMessage
-        {
-            [JsonPropertyName("role")]
-            public required string Role { get; set; }
-
-            [JsonPropertyName("content")]
-            public required string Content { get; set; } = string.Empty;
-        }
-
-        // New class for Ollama options
-        private class OllamaOptions
-        {
-            [JsonPropertyName("temperature")]
-            public float? Temperature { get; set; }
-
-            [JsonPropertyName("top_p")]
-            public float? TopP { get; set; }
-
-            [JsonPropertyName("top_k")]
-            public int? TopK { get; set; }
-
-            [JsonPropertyName("num_gpu")]
-            public int? NumGpu { get; set; }
-
-            [JsonPropertyName("mirostat_tau")]
-            public float? MirostatTau { get; set; }
-
-            [JsonPropertyName("mirostat_eta")]
-            public float? MirostatEta { get; set; }
-
-            [JsonPropertyName("mirostat")]
-            public int? Mirostat { get; set; }
-
-            [JsonPropertyName("num_predict")]
-            public int? NumPredict { get; set; }
-
-            [JsonPropertyName("num_ctx")]
-            public int? NumCtx { get; set; }
-
-            [JsonPropertyName("num_keep")]
-            public int? NumKeep { get; set; }
-
-            [JsonPropertyName("seed")]
-            public int? Seed { get; set; }
-
-            [JsonPropertyName("stop")]
-            public List<string>? Stop { get; set; }
-
-            [JsonPropertyName("tfs_z")]
-            public float? TfsZ { get; set; }
-
-            [JsonPropertyName("repeat_last_n")]
-            public int? RepeatLastN { get; set; }
-
-            [JsonPropertyName("repeat_penalty")]
-            public float? RepeatPenalty { get; set; }
-
-            [JsonPropertyName("presence_penalty")]
-            public float? PresencePenalty { get; set; }
-
-            [JsonPropertyName("frequency_penalty")]
-            public float? FrequencyPenalty { get; set; }
-
-            [JsonPropertyName("num_thread")]
-            public int? NumThread { get; set; }
-
-            [JsonPropertyName("num_batch")]
-            public int? NumBatch { get; set; }
-
-            [JsonPropertyName("f16_kv")]
-            public bool? F16Kv { get; set; }
-
-            [JsonPropertyName("logits_all")]
-            public bool? LogitsAll { get; set; }
-
-            [JsonPropertyName("low_vram")]
-            public bool? LowVram { get; set; }
-
-            [JsonPropertyName("main_gpu")]
-            public int? MainGpu { get; set; }
-
-            [JsonPropertyName("num_align")]
-            public int? NumAlign { get; set; }
-
-            [JsonPropertyName("rope_frequency_base")]
-            public float? RopeFrequencyBase { get; set; }
-
-            [JsonPropertyName("rope_frequency_scale")]
-            public float? RopeFrequencyScale { get; set; }
-
-            [JsonPropertyName("num_gqa")]
-            public int? NumGqa { get; set; }
-
-            [JsonPropertyName("num_rms_norm")]
-            public int? NumRmsNorm { get; set; }
-
-            [JsonPropertyName("num_tokens")]
-            public int? NumTokens { get; set; }
-
-            [JsonPropertyName("num_layer")]
-            public int? NumLayer { get; set; }
-
-            [JsonPropertyName("num_attention_heads")]
-            public int? NumAttentionHeads { get; set; }
-
-            [JsonPropertyName("embedding_length")]
-            public int? EmbeddingLength { get; set; }
-
-            [JsonPropertyName("num_vae_decode")]
-            public int? NumVaeDecode { get; set; }
-
-            [JsonPropertyName("penalize_newline")]
-            public bool? PenalizeNewline { get; set; }
-
-            [JsonPropertyName("presence_alpha")]
-            public float? PresenceAlpha { get; set; }
-
-            [JsonPropertyName("frequency_alpha")]
-            public float? FrequencyAlpha { get; set; }
-
-            [JsonPropertyName("vocab_only")]
-            public bool? VocabOnly { get; set; }
-
-            [JsonPropertyName("format")]
-            public string? Format { get; set; }
-
-            [JsonPropertyName("med_freq")]
-            public float? MedFreq { get; set; }
-
-            [JsonPropertyName("n_probs")]
-            public int? NProbs { get; set; }
-        }
-    }
-}
diff --git a/MultiImageClient/Implementation/AbstractPromptSource.cs b/MultiImageClient/Interfaces/AbstractPromptSource.cs
similarity index 97%
rename from MultiImageClient/Implementation/AbstractPromptSource.cs
rename to MultiImageClient/Interfaces/AbstractPromptSource.cs
index 8e3aaa7..eaa71b7 100644
--- a/MultiImageClient/Implementation/AbstractPromptSource.cs
+++ b/MultiImageClient/Interfaces/AbstractPromptSource.cs
@@ -1,100 +1,100 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Reflection.Emit;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    /// this a way of loading a bunch of user configs for prompts. like, what do you want the text of the prompt to say? (and optionally, should it be big, landscape, whatever?)
-    /// things like actually mapping that to whatever options are provided by the image generator is another job, for future, IJobSpec or something like that)
-    public abstract class AbstractPromptSource
-    {
-        public abstract IEnumerable<PromptDetails> Prompts { get; }
-
-        ///  ----------- SETTINGS -----------------
-
-        public abstract int ImageCreationLimit { get; }
-
-        /// how many times we send this prompt as of this level.
-        public abstract int CopiesPer { get; }
-
-        /// i.e. how many times we send it to each image generator, after applying all prior manipulation steps
-        public virtual int FullyResolvedCopiesPer { get; } = 1;
-        public abstract string Prefix { get; }
-        public abstract string Suffix { get; }
-
-        ///  Variant leading texts, if any, which you want to include after the global prefix.
-        /// The overall structure we'll iterate through is: (copiesPer *) Prefix + Variant + Prompt + Suffix
-        public abstract bool RandomizeOrder { get; }
-        public abstract string Name { get; }
-        public Settings Settings { get; set; }
-        
-
-        public AbstractPromptSource(Settings settings)
-        {
-            Settings = settings;
-        }
-
-        /// Implementers should have their .Iter method called from Program.cs to iterate through your prompts.
-        // expand the things we've set up into all the prmopts wanted.
-        public IEnumerable<PromptDetails> Iter(IEnumerable<PromptDetails> thePromptDetails)
-        {
-            var returnedCount = 0;
-            foreach (var promptDetails in thePromptDetails)
-            {
-                var cleanPrompt = TextUtils.CleanPrompt(promptDetails.Prompt).Trim();
-                if (string.IsNullOrWhiteSpace(cleanPrompt))
-                {
-                    continue;
-                }
-
-                var usingPrompt = cleanPrompt;
-                if (!string.IsNullOrWhiteSpace(Prefix))
-                {
-                    usingPrompt = $"{Prefix} {cleanPrompt}".Trim();
-                }
-
-          
-
-                if (usingPrompt != promptDetails.Prompt)
-                {
-                    Console.WriteLine(usingPrompt);
-                    Console.WriteLine(promptDetails.Prompt);
-                    promptDetails.ReplacePrompt(usingPrompt, usingPrompt, TransformationType.Variants);
-                }
-
-                Console.WriteLine(promptDetails.Show());
-                Console.WriteLine("Do you accept this prompt? y for yes.");
-                var value = Console.ReadLine();
-                if (value.Trim() == "y")
-                {
-                    Console.WriteLine("accepted.");
-                    yield return promptDetails;
-                }
-                else if (value.TrimEnd() == "n")
-                {
-                    continue;
-                }
-                else
-                {
-                    var userPrompt = TextUtils.CleanPrompt(value.Trim()).Trim();
-                    var newPd = new PromptDetails();
-                    newPd.ReplacePrompt(userPrompt, userPrompt, TransformationType.InitialPrompt);
-                    yield return newPd;
-                    continue;
-                }
-
-                //for (var ii = 0; ii < CopiesPer; ii++)
-                //{
-                //    var copy = promptDetails.Clone();
-                //    returnedCount++;
-                //    yield return copy;
-                //    if (returnedCount >= ImageCreationLimit) yield break;
-                //}
-
-                if (returnedCount >= ImageCreationLimit) yield break;
-            }
-        }
-    }
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Reflection.Emit;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    /// this a way of loading a bunch of user configs for prompts. like, what do you want the text of the prompt to say? (and optionally, should it be big, landscape, whatever?)
+    /// things like actually mapping that to whatever options are provided by the image generator is another job, for future, IJobSpec or something like that)
+    public abstract class AbstractPromptSource
+    {
+        public abstract IEnumerable<PromptDetails> Prompts { get; }
+
+        ///  ----------- SETTINGS -----------------
+
+        public abstract int ImageCreationLimit { get; }
+
+        /// how many times we send this prompt as of this level.
+        public abstract int CopiesPer { get; }
+
+        /// i.e. how many times we send it to each image generator, after applying all prior manipulation steps
+        public virtual int FullyResolvedCopiesPer { get; } = 1;
+        public abstract string Prefix { get; }
+        public abstract string Suffix { get; }
+
+        ///  Variant leading texts, if any, which you want to include after the global prefix.
+        /// The overall structure we'll iterate through is: (copiesPer *) Prefix + Variant + Prompt + Suffix
+        public abstract bool RandomizeOrder { get; }
+        public abstract string Name { get; }
+        public Settings Settings { get; set; }
+        
+
+        public AbstractPromptSource(Settings settings)
+        {
+            Settings = settings;
+        }
+
+        /// Implementers should have their .Iter method called from Program.cs to iterate through your prompts.
+        // expand the things we've set up into all the prmopts wanted.
+        public IEnumerable<PromptDetails> Iter(IEnumerable<PromptDetails> thePromptDetails)
+        {
+            var returnedCount = 0;
+            foreach (var promptDetails in thePromptDetails)
+            {
+                var cleanPrompt = TextUtils.CleanPrompt(promptDetails.Prompt).Trim();
+                if (string.IsNullOrWhiteSpace(cleanPrompt))
+                {
+                    continue;
+                }
+
+                var usingPrompt = cleanPrompt;
+                if (!string.IsNullOrWhiteSpace(Prefix))
+                {
+                    usingPrompt = $"{Prefix} {cleanPrompt}".Trim();
+                }
+
+          
+
+                if (usingPrompt != promptDetails.Prompt)
+                {
+                    Console.WriteLine(usingPrompt);
+                    Console.WriteLine(promptDetails.Prompt);
+                    promptDetails.ReplacePrompt(usingPrompt, usingPrompt, TransformationType.Variants);
+                }
+
+                Console.WriteLine(promptDetails.Show());
+                Console.WriteLine("Do you accept this prompt? y for yes.");
+                var value = Console.ReadLine();
+                if (value.Trim() == "y")
+                {
+                    Console.WriteLine("accepted.");
+                    yield return promptDetails;
+                }
+                else if (value.TrimEnd() == "n")
+                {
+                    continue;
+                }
+                else
+                {
+                    var userPrompt = TextUtils.CleanPrompt(value.Trim()).Trim();
+                    var newPd = new PromptDetails();
+                    newPd.ReplacePrompt(userPrompt, userPrompt, TransformationType.InitialPrompt);
+                    yield return newPd;
+                    continue;
+                }
+
+                //for (var ii = 0; ii < CopiesPer; ii++)
+                //{
+                //    var copy = promptDetails.Clone();
+                //    returnedCount++;
+                //    yield return copy;
+                //    if (returnedCount >= ImageCreationLimit) yield break;
+                //}
+
+                if (returnedCount >= ImageCreationLimit) yield break;
+            }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Interfaces/ILocalVisionModel.cs b/MultiImageClient/Interfaces/ILocalVisionModel.cs
new file mode 100644
index 0000000..97d834d
--- /dev/null
+++ b/MultiImageClient/Interfaces/ILocalVisionModel.cs
@@ -0,0 +1,12 @@
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public interface ILocalVisionModel
+    {
+        Task<string> DescribeImageAsync(byte[] imageBytes, string prompt, int maxTokens = 512, float temperature = 0.8f);
+        string GetModelName();
+    }
+}
+
+
diff --git a/MultiImageClient/Implementation/ITransformationStep.cs b/MultiImageClient/Interfaces/ITransformationStep.cs
similarity index 95%
rename from MultiImageClient/Implementation/ITransformationStep.cs
rename to MultiImageClient/Interfaces/ITransformationStep.cs
index d947109..3471354 100644
--- a/MultiImageClient/Implementation/ITransformationStep.cs
+++ b/MultiImageClient/Interfaces/ITransformationStep.cs
@@ -1,10 +1,10 @@
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public interface ITransformationStep
-    {
-        Task<bool> DoTransformation(PromptDetails pd);
-        string Name { get; }
-    }
-}
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public interface ITransformationStep
+    {
+        Task<bool> DoTransformation(PromptDetails pd);
+        string Name { get; }
+    }
+}
diff --git a/MultiImageClient/MultiGeneratorResults.cs b/MultiImageClient/MultiGeneratorResults.cs
deleted file mode 100644
index 79a0cad..0000000
--- a/MultiImageClient/MultiGeneratorResults.cs
+++ /dev/null
@@ -1,10 +0,0 @@
-using System.Collections.Generic;
-
-
-namespace MultiImageClient
-{
-    public class MultiGeneratorResults
-    {
-        public Dictionary<ImageGeneratorApiType, TaskProcessResult> results { get; set; } = new Dictionary<ImageGeneratorApiType, TaskProcessResult>();
-    }
-}
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index cbe2eaf..fa52042 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -2,6 +2,8 @@
 
 using IdeogramAPIClient;
 
+
+
 //using OpenAI.Images;
 
 //using RecraftAPIClient;
@@ -21,24 +23,15 @@ namespace MultiImageClient
 
     public class Program
     {
-        private static ClaudeService _ClaudeService { get; set; }
         static async Task Main(string[] args)
         {
             var settingsFilePath = "settings.json";
             var settings = Settings.LoadFromFile(settingsFilePath);
             var concurrency = 1;
             var stats = new MultiClientRunStats();
-
-
-            var ideogramClient = new IdeogramClient(settings.IdeogramApiKey);
             var promptSource = new ReadAllPromptsFromFile(settings, "");
 
-
-            //var claudeStep = new ClaudeRewriteStep("Please take the following topic and make it specific; cast the die, take a chance, and expand it to a longer, detailed, specific description of a scene with all the elements of it described. Describe how the thing looks, feels, appears, etc in high detail. Put the most important aspects first such as the overall description, then continue by expanding that and adding more detail, structure, theme. Be specific in whatevr you do. If it seems appropriate, if a man appears don't just say 'the man', but instead actually give him a name, traits, personality, etc. The goal is to deeply expand the world envisioned by the original topic creator. Overall, follow the implied theem and goals of the creator, but just expand it into much more specifics and concreate actualization. Never use phrases or words like 'diverse', 'vibrant' etc. Be very concrete and precise in your descriptions, similar to how ansel adams describing a new treasured species of bird would - detailed, caring, dense, clear, sharp, speculative and never wordy or fluffy. every single word you say must be relevant to the goal of increasing the info you share about this image or sitaution or scene. Be direct and clear.", "", claudeService, 0.4m, stats);
-
-
-
-            var descSteps = "generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, specific and precist listing of all clothing seen and her outfit, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals, as well as the extent of the shot (face portrait, shoulder up shot, medium shot, head to toe, zoom in on her hand, etc.) etc. Do NOT skimp on this part.  When you reply, directly start the description and output no newlines, just the information. You do not need to use full sentences unless you feel it would be helpful; include everything starting generally and with the overall image info and layout, then proceeding to deeper and deeper fine details. also include the overall emotional effect and feeling of the image";
+            
 
 
             /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
diff --git a/MultiImageClient/Services/GoogleImagenModels.cs b/MultiImageClient/Services/GoogleImagenModels.cs
deleted file mode 100644
index 1b3cc5c..0000000
--- a/MultiImageClient/Services/GoogleImagenModels.cs
+++ /dev/null
@@ -1,44 +0,0 @@
-using System.Text.Json.Serialization;
-
-namespace MultiImageClient
-{
-    // Shared response models for Google Imagen API
-    public class GoogleImagenResponse
-    {
-        public GoogleImagenGeneratedImage[] GeneratedImages { get; set; }
-    }
-
-    public class GoogleImagenGeneratedImage
-    {
-        public string BytesBase64Encoded { get; set; }
-        public string MimeType { get; set; }
-    }
-
-    // Response models for Gemini native image generation (Nano Banana)
-    public class GeminiGenerateContentResponse
-    {
-        public GeminiCandidate[] candidates { get; set; }
-    }
-
-    public class GeminiCandidate
-    {
-        public GeminiContent content { get; set; }
-    }
-
-    public class GeminiContent
-    {
-        public GeminiPart[] parts { get; set; }
-    }
-
-    public class GeminiPart
-    {
-        public string text { get; set; }
-        public GeminiInlineData inlineData { get; set; }
-    }
-
-    public class GeminiInlineData
-    {
-        public string mimeType { get; set; }
-        public string data { get; set; }
-    }
-}
diff --git a/MultiImageClient/Services/ClaudeService.cs b/MultiImageClient/TextLLMs/ClaudeService.cs
similarity index 97%
rename from MultiImageClient/Services/ClaudeService.cs
rename to MultiImageClient/TextLLMs/ClaudeService.cs
index a9df9c5..49f764c 100644
--- a/MultiImageClient/Services/ClaudeService.cs
+++ b/MultiImageClient/TextLLMs/ClaudeService.cs
@@ -1,122 +1,122 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Reflection.Metadata.Ecma335;
-using System.Threading;
-using System.Threading.Tasks;
-
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
-
-namespace MultiImageClient
-{
-    public class ClaudeService
-    {
-        private readonly AnthropicClient _anthropicClient;
-        private readonly SemaphoreSlim _claudeSemaphore;
-        private MultiClientRunStats stats;
-
-        public ClaudeService(string apiKey, int maxConcurrency, MultiClientRunStats stats)
-        {
-            var anthropicApikeyAuth = new APIAuthentication(apiKey);
-            _anthropicClient = new AnthropicClient(anthropicApikeyAuth);
-            _claudeSemaphore = new SemaphoreSlim(maxConcurrency);
-            this.stats = stats;
-        }
-
-        ///Claude gets mad sometimes. This is for detecting this and optionally derailing since you probably don't want to continue with this bad rewrite output.
-        internal static bool DidClaudeRefuse(string claudeResponse)
-        {
-            var unhappyClaudeResponses = new List<string>
-            {
-                "i'm sorry, i can't",
-                "sexualized",
-                "i will not produce",
-                "harmful stereotypes",
-                "i apologize",
-                "don't feel comfortable",
-                "do not feel comfortable",
-                "that is overtly",
-                "not comfortable",
-                "will not generate",
-                "will not be able to generate",
-                "i regret th"
-            };
-
-            foreach (var unhappyClaudeResponse in unhappyClaudeResponses)
-            {
-                if (claudeResponse.Contains(unhappyClaudeResponse, StringComparison.OrdinalIgnoreCase))
-                {
-                    return true;
-                }
-            }
-            return false;
-        }
-
-
-        public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDetails, decimal temp)
-        {
-            if (ClaudeWillHateThis(promptDetails.Prompt))
-            {
-                promptDetails.AddStep("Claude wouldn't have touched this prompt", TransformationType.ClaudeWouldRefuseRewrite);
-                Logger.Log($"\t\tClaude would have refused to rewrite: {promptDetails.Show()}");
-                stats.ClaudeWouldRefuseCount++;
-                return new TaskProcessResult { ImageGeneratorDescription="Claude?", IsSuccess = false, ErrorMessage = "Claude wouldn't have touched this prompt", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated};
-            }
-            await _claudeSemaphore.WaitAsync();
-            try
-            {
-                var messages = new List<Message>()
-                {
-                    new Message(RoleType.User, promptDetails.Prompt),
-                };
-
-                var parameters = new MessageParameters()
-                {
-                    Messages = messages,
-                    MaxTokens = 2048,
-                    Model = AnthropicModels.Claude3Haiku,
-                    Stream = false,
-                    Temperature = temp,
-                };
-
-                MessageResponse firstResult = await _anthropicClient.Messages.GetClaudeMessageAsync(parameters);
-                var claudeResponse = firstResult.Message.ToString();
-
-                var isClaudeUnhappy = DidClaudeRefuse(claudeResponse);
-                if (isClaudeUnhappy)
-                {
-                    stats.ClaudeRefusedCount++;
-                    Logger.Log($"\t\tClaude was unhappy about\n\t\t\t{promptDetails.Show()}\n\t\t\t{claudeResponse}");
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = $"Claude was unhappy about the prompt and refused to rewrite it. {claudeResponse}", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericTextErrorType = GenericTextGenerationErrorType.RequestModerated };
-                }
-                else
-                {
-                    Logger.Log($"\t___Step:Claude____ => rewrote to: {claudeResponse}");
-                    promptDetails.ReplacePrompt(claudeResponse, claudeResponse, TransformationType.ClaudeRewrite);
-                    stats.ClaudeRewroteCount++;
-
-                    return new TaskProcessResult { IsSuccess = true, ErrorMessage = "", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude };
-                }
-            }
-            finally
-            {
-                _claudeSemaphore.Release();
-            }
-        }
-
-        public static IEnumerable<string> WordsClaudeHates =>
-            System.IO.File.Exists("claude-bad.txt")
-                ? System.IO.File.ReadAllLines("claude-bad.txt")
-                    .OrderBy(el => el)
-                    .Distinct()
-                : Enumerable.Empty<string>();
-
-        public static bool ClaudeWillHateThis(string prompt)
-        {
-            return WordsClaudeHates.Any(word => prompt.Contains(word, StringComparison.OrdinalIgnoreCase));
-        }
-    }
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Reflection.Metadata.Ecma335;
+using System.Threading;
+using System.Threading.Tasks;
+
+using Anthropic.SDK;
+using Anthropic.SDK.Constants;
+using Anthropic.SDK.Messaging;
+
+
+namespace MultiImageClient
+{
+    public class ClaudeService
+    {
+        private readonly AnthropicClient _anthropicClient;
+        private readonly SemaphoreSlim _claudeSemaphore;
+        private MultiClientRunStats stats;
+
+        public ClaudeService(string apiKey, int maxConcurrency, MultiClientRunStats stats)
+        {
+            var anthropicApikeyAuth = new APIAuthentication(apiKey);
+            _anthropicClient = new AnthropicClient(anthropicApikeyAuth);
+            _claudeSemaphore = new SemaphoreSlim(maxConcurrency);
+            this.stats = stats;
+        }
+
+        ///Claude gets mad sometimes. This is for detecting this and optionally derailing since you probably don't want to continue with this bad rewrite output.
+        internal static bool DidClaudeRefuse(string claudeResponse)
+        {
+            var unhappyClaudeResponses = new List<string>
+            {
+                "i'm sorry, i can't",
+                "sexualized",
+                "i will not produce",
+                "harmful stereotypes",
+                "i apologize",
+                "don't feel comfortable",
+                "do not feel comfortable",
+                "that is overtly",
+                "not comfortable",
+                "will not generate",
+                "will not be able to generate",
+                "i regret th"
+            };
+
+            foreach (var unhappyClaudeResponse in unhappyClaudeResponses)
+            {
+                if (claudeResponse.Contains(unhappyClaudeResponse, StringComparison.OrdinalIgnoreCase))
+                {
+                    return true;
+                }
+            }
+            return false;
+        }
+
+
+        public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDetails, decimal temp)
+        {
+            if (ClaudeWillHateThis(promptDetails.Prompt))
+            {
+                promptDetails.AddStep("Claude wouldn't have touched this prompt", TransformationType.ClaudeWouldRefuseRewrite);
+                Logger.Log($"\t\tClaude would have refused to rewrite: {promptDetails.Show()}");
+                stats.ClaudeWouldRefuseCount++;
+                return new TaskProcessResult { ImageGeneratorDescription="Claude?", IsSuccess = false, ErrorMessage = "Claude wouldn't have touched this prompt", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericImageErrorType = GenericImageGenerationErrorType.RequestModerated};
+            }
+            await _claudeSemaphore.WaitAsync();
+            try
+            {
+                var messages = new List<Message>()
+                {
+                    new Message(RoleType.User, promptDetails.Prompt),
+                };
+
+                var parameters = new MessageParameters()
+                {
+                    Messages = messages,
+                    MaxTokens = 2048,
+                    Model = AnthropicModels.Claude3Haiku,
+                    Stream = false,
+                    Temperature = temp,
+                };
+
+                MessageResponse firstResult = await _anthropicClient.Messages.GetClaudeMessageAsync(parameters);
+                var claudeResponse = firstResult.Message.ToString();
+
+                var isClaudeUnhappy = DidClaudeRefuse(claudeResponse);
+                if (isClaudeUnhappy)
+                {
+                    stats.ClaudeRefusedCount++;
+                    Logger.Log($"\t\tClaude was unhappy about\n\t\t\t{promptDetails.Show()}\n\t\t\t{claudeResponse}");
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = $"Claude was unhappy about the prompt and refused to rewrite it. {claudeResponse}", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericTextErrorType = GenericTextGenerationErrorType.RequestModerated };
+                }
+                else
+                {
+                    Logger.Log($"\t___Step:Claude____ => rewrote to: {claudeResponse}");
+                    promptDetails.ReplacePrompt(claudeResponse, claudeResponse, TransformationType.ClaudeRewrite);
+                    stats.ClaudeRewroteCount++;
+
+                    return new TaskProcessResult { IsSuccess = true, ErrorMessage = "", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude };
+                }
+            }
+            finally
+            {
+                _claudeSemaphore.Release();
+            }
+        }
+
+        public static IEnumerable<string> WordsClaudeHates =>
+            System.IO.File.Exists("claude-bad.txt")
+                ? System.IO.File.ReadAllLines("claude-bad.txt")
+                    .OrderBy(el => el)
+                    .Distinct()
+                : Enumerable.Empty<string>();
+
+        public static bool ClaudeWillHateThis(string prompt)
+        {
+            return WordsClaudeHates.Any(word => prompt.Contains(word, StringComparison.OrdinalIgnoreCase));
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/Implementation/FileNameGenerator.cs b/MultiImageClient/Utils/FileNameGenerator.cs
similarity index 96%
rename from MultiImageClient/Implementation/FileNameGenerator.cs
rename to MultiImageClient/Utils/FileNameGenerator.cs
index 0ba76ec..5391c91 100644
--- a/MultiImageClient/Implementation/FileNameGenerator.cs
+++ b/MultiImageClient/Utils/FileNameGenerator.cs
@@ -1,72 +1,72 @@
-using IdeogramAPIClient;
-
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Linq;
-using System.Text;
-using System.Text.RegularExpressions;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public static class FilenameGenerator
-    {
-        public static string TruncatePrompt(string prompt, int maxLength)
-        {
-            return prompt.Length > maxLength ? prompt.Substring(0, maxLength) : prompt;
-        }
-
-        public static string SanitizeFilename(string filename)
-        {
-            string sanitized = Regex.Replace(filename, @"[^a-zA-Z0-9_\-]", "_");
-            while (sanitized.Contains("__"))
-            {
-                sanitized = sanitized.Replace("__", "_");
-            }
-            return sanitized.Length > 200 ? sanitized.Substring(0, 200) : sanitized;
-        }
-
-
-        public static string GenerateUniqueFilename(string generatorFilenamePart, int n, string contentType, string baseFolder, SaveType saveType)
-        {
-            var components = new List<string>() { };
-
-            components.Add(DateTime.Now.ToString("yyyyMMddHHmmss"));
-            components.Add(generatorFilenamePart);
-            components.Add($"img{n.ToString()}");
-            
-            if (!string.IsNullOrEmpty(contentType))
-            {
-                var ss = contentType.ToString();
-                if (ss.IndexOf('/') != -1)
-                {
-                    var parts = ss.Split('/');
-                    ss = parts.Last();
-
-                }
-                components.Add(ss);
-            }
-
-            components.Add(saveType.ToString());
-
-            string combined = string.Join("_", components.Where(c => !string.IsNullOrEmpty(c)));
-            string sanitized = SanitizeFilename(combined);
-
-            // Ensure the filename is unique
-            int count = 0;
-            string uniqueFilename;
-            var ext = ".png";
-
-            do
-            {
-                uniqueFilename = count == 0 ? $"{sanitized}{ext}" : $"{sanitized}_{count:D4}{ext}";
-                count++;
-            } while (File.Exists(Path.Combine(baseFolder, $"{uniqueFilename}")));
-
-            return uniqueFilename;
-        }
-
-
-    }
-}
+using IdeogramAPIClient;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Text;
+using System.Text.RegularExpressions;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public static class FilenameGenerator
+    {
+        public static string TruncatePrompt(string prompt, int maxLength)
+        {
+            return prompt.Length > maxLength ? prompt.Substring(0, maxLength) : prompt;
+        }
+
+        public static string SanitizeFilename(string filename)
+        {
+            string sanitized = Regex.Replace(filename, @"[^a-zA-Z0-9_\-]", "_");
+            while (sanitized.Contains("__"))
+            {
+                sanitized = sanitized.Replace("__", "_");
+            }
+            return sanitized.Length > 200 ? sanitized.Substring(0, 200) : sanitized;
+        }
+
+
+        public static string GenerateUniqueFilename(string generatorFilenamePart, int n, string contentType, string baseFolder, SaveType saveType)
+        {
+            var components = new List<string>() { };
+
+            components.Add(DateTime.Now.ToString("yyyyMMddHHmmss"));
+            components.Add(generatorFilenamePart);
+            components.Add($"img{n.ToString()}");
+            
+            if (!string.IsNullOrEmpty(contentType))
+            {
+                var ss = contentType.ToString();
+                if (ss.IndexOf('/') != -1)
+                {
+                    var parts = ss.Split('/');
+                    ss = parts.Last();
+
+                }
+                components.Add(ss);
+            }
+
+            components.Add(saveType.ToString());
+
+            string combined = string.Join("_", components.Where(c => !string.IsNullOrEmpty(c)));
+            string sanitized = SanitizeFilename(combined);
+
+            // Ensure the filename is unique
+            int count = 0;
+            string uniqueFilename;
+            var ext = ".png";
+
+            do
+            {
+                uniqueFilename = count == 0 ? $"{sanitized}{ext}" : $"{sanitized}_{count:D4}{ext}";
+                count++;
+            } while (File.Exists(Path.Combine(baseFolder, $"{uniqueFilename}")));
+
+            return uniqueFilename;
+        }
+
+
+    }
+}
diff --git a/MultiImageClient/Utils/FontUtils.cs b/MultiImageClient/Utils/FontUtils.cs
index 7497fb4..8a8be09 100644
--- a/MultiImageClient/Utils/FontUtils.cs
+++ b/MultiImageClient/Utils/FontUtils.cs
@@ -1,3 +1,4 @@
+
 using SixLabors.Fonts;
 using SixLabors.ImageSharp.Drawing.Processing;
 using System.Linq;
diff --git a/MultiImageClient/PromptLogger.cs b/MultiImageClient/Utils/PromptLogger.cs
similarity index 97%
rename from MultiImageClient/PromptLogger.cs
rename to MultiImageClient/Utils/PromptLogger.cs
index b06ff50..3d3c43e 100644
--- a/MultiImageClient/PromptLogger.cs
+++ b/MultiImageClient/Utils/PromptLogger.cs
@@ -27,7 +27,7 @@ public static void LogPrompt(string prompt)
             var logEntry = new
             {
                 time = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds(),
-                prompt = prompt
+                prompt
             };
 
             var jsonLine = JsonSerializer.Serialize(logEntry);
diff --git a/MultiImageClient/UIConstants.cs b/MultiImageClient/Utils/UIConstants.cs
similarity index 97%
rename from MultiImageClient/UIConstants.cs
rename to MultiImageClient/Utils/UIConstants.cs
index 9311c92..e943aa6 100644
--- a/MultiImageClient/UIConstants.cs
+++ b/MultiImageClient/Utils/UIConstants.cs
@@ -1,23 +1,23 @@
-using SixLabors.ImageSharp;
-
-namespace MultiImageClient
-{
-    public static class UIConstants
-    {
-        // Shared across multiple files
-        public const int Padding = 10;
-        public const float LineSpacing = 1.15f;
-        public const int MinFontSize = 8;
-        public const int TextDpi = 150;
-        public const int LabelHeight = 20; // Default height for labels under images
-
-        // Colors
-        public static readonly Color White = Color.White;
-        public static readonly Color Black = Color.Black;
-        public static readonly Color SuccessGreen = Color.FromRgb(0, 120, 0);
-        public static readonly Color ErrorRed = Color.FromRgb(180, 0, 0);
-        public static readonly Color PlaceholderFill = Color.FromRgb(240, 240, 240);
-        public static readonly Color PlaceholderBorder = Color.FromRgb(200, 200, 200);
-        public static readonly Color Gold = Color.FromRgb(255, 215, 0);
-    }
-}
+using SixLabors.ImageSharp;
+
+namespace MultiImageClient
+{
+    public static class UIConstants
+    {
+        // Shared across multiple files
+        public const int Padding = 10;
+        public const float LineSpacing = 1.15f;
+        public const int MinFontSize = 8;
+        public const int TextDpi = 150;
+        public const int LabelHeight = 20; // Default height for labels under images
+
+        // Colors
+        public static readonly Color White = Color.White;
+        public static readonly Color Black = Color.Black;
+        public static readonly Color SuccessGreen = Color.FromRgb(0, 120, 0);
+        public static readonly Color ErrorRed = Color.FromRgb(180, 0, 0);
+        public static readonly Color PlaceholderFill = Color.FromRgb(240, 240, 240);
+        public static readonly Color PlaceholderBorder = Color.FromRgb(200, 200, 200);
+        public static readonly Color Gold = Color.FromRgb(255, 215, 0);
+    }
+}
diff --git a/MultiImageClient/Implementation/BatchWorkflow.cs b/MultiImageClient/Workflows/BatchWorkflow.cs
similarity index 97%
rename from MultiImageClient/Implementation/BatchWorkflow.cs
rename to MultiImageClient/Workflows/BatchWorkflow.cs
index f3ab33e..b9959de 100644
--- a/MultiImageClient/Implementation/BatchWorkflow.cs
+++ b/MultiImageClient/Workflows/BatchWorkflow.cs
@@ -1,132 +1,133 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class BatchWorkflow
-    {
-        public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings settings, int concurrency, MultiClientRunStats stats)
-        {
-            var getter = new GeneratorGroups(settings, concurrency, stats);
-
-            var generators = getter.GetAll();
-            //var generators = getter.GetAllStylesOfRecraft();
-
-            var imageManager = new ImageManager(settings, stats);
-            var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
-
-
-            var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of specific items describing material, color, mood, tone, position in the image, and symbolic purpose of whatever the following prompt is about. the point is, intensify and make things very specific including LAYOUT and style and color andappearance and everything an artist would need. create and emit lots of dense, unusual, specific, random, dense sentences. Note: you may never shrink or remove information from the prompt. Your job is ONLY to expand and make it concrete.  What you output should always be longer than what you receive, with much more specific details, etc.", "", claudeService, 0.4m, stats);
-
-            //var steps = new List<ITransformationStep>() { claudeStep };
-            var steps = new List<ITransformationStep>() { };
-
-            var allTasks = new List<Task>();
-
-            foreach (var promptString in promptSource.Prompts)
-            {
-                Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
-
-                Console.WriteLine($"Do you accept this? y for yes, n for no go to next, or type the prompt you want directly and hit enter.");
-                var val = Console.ReadLine();
-                if (val == "y")
-                {
-
-                }
-                else if (val == "n")
-                {
-                    continue;
-                }
-                else
-                {
-                    var usingVal = val.Trim();
-                    PromptLogger.LogPrompt(usingVal);
-                    promptString.UndoLastStep();
-                    promptString.ReplacePrompt(usingVal, "explanation", TransformationType.InitialPrompt);
-                }
-
-                if (promptString.Prompt.Length == 0)
-                {
-                    Console.WriteLine("no leng?");
-                    continue;
-                }
-
-                foreach (var step in steps)
-                {
-                    var res = await step.DoTransformation(promptString);
-                    if (!res)
-                    {
-                        Logger.Log($"\tStep {step.Name} failed: {promptString.Show()}");
-                        continue;
-                    }
-                    Logger.Log($"\tStep:{step.Name} => {promptString.Show()}");
-                }
-
-                var ii = 0;
-                while (ii < 1)
-                {
-                    // Create tasks for all generators for this prompt
-                    var generatorTasks = generators.Select(async generator =>
-                    {
-                        PromptDetails theCopy = null;
-
-                        try
-                        {
-                            theCopy = promptString.Copy();
-
-                            var result = await generator.ProcessPromptAsync(generator, theCopy);
-                            await imageManager.ProcessAndSaveAsync(result, generator);
-                            Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
-
-                            return result;
-                        }
-                        catch (Exception ex)
-                        {
-                            Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
-
-                            var res = new TaskProcessResult
-                            {
-                                IsSuccess = false,
-                                ErrorMessage = ex.Message,
-                                PromptDetails = theCopy
-                            };
-
-                            return res;
-                        }
-                    }).ToArray();
-
-                    allTasks.AddRange(generatorTasks);
-                    ii++;
-
-                    stats.PrintStats();
-                    var results = await Task.WhenAll(generatorTasks);
-
-                    try
-                    {
-                        var res = await ImageCombiner.CreateBatchLayoutImageHorizontalAsync(results, promptString.Prompt, settings);
-                        Logger.Log($"Combined images saved to: {res}");
-                        ImageCombiner.OpenImageWithDefaultApplication(res);
-                    }
-                    catch (Exception ex)
-                    {
-                        Logger.Log($"Failed to combine images: {ex.Message}");
-                        return false;
-                    }
-                }
-            }
-            return true;
-
-            // Wait for all tasks
-            // while (allTasks.Any(t => !t.IsCompleted))
-            // {
-            //     var completed = allTasks.Count(t => t.IsCompleted);
-            //     var remaining = allTasks.Count - completed;
-            //     Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining...");
-            //     await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
-            // }
-        }
-    }
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class BatchWorkflow
+    {
+        public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings settings, int concurrency, MultiClientRunStats stats)
+        {
+            var getter = new GeneratorGroups(settings, concurrency, stats);
+
+            var generators = getter.GetAll();
+            //var generators = getter.GetAllStylesOfRecraft();
+
+            var imageManager = new ImageManager(settings, stats);
+            var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
+
+
+            var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of specific items describing material, color, mood, tone, position in the image, and symbolic purpose of whatever the following prompt is about. the point is, intensify and make things very specific including LAYOUT and style and color andappearance and everything an artist would need. create and emit lots of dense, unusual, specific, random, dense sentences. Note: you may never shrink or remove information from the prompt. Your job is ONLY to expand and make it concrete.  What you output should always be longer than what you receive, with much more specific details, etc.", "", claudeService, 0.4m, stats);
+
+            //var steps = new List<ITransformationStep>() { claudeStep };
+            var steps = new List<ITransformationStep>() { };
+
+            var allTasks = new List<Task>();
+
+            foreach (var promptString in promptSource.Prompts)
+            {
+                Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
+
+                Console.WriteLine($"Do you accept this? y for yes, n for no go to next, or type the prompt you want directly and hit enter.");
+                var val = Console.ReadLine();
+                if (val == "y")
+                {
+
+                }
+                else if (val == "n")
+                {
+                    continue;
+                }
+                else
+                {
+                    var usingVal = val.Trim();
+                    PromptLogger.LogPrompt(usingVal);
+                    promptString.UndoLastStep();
+                    promptString.ReplacePrompt(usingVal, "explanation", TransformationType.InitialPrompt);
+                }
+
+                if (promptString.Prompt.Length == 0)
+                {
+                    Console.WriteLine("no leng?");
+                    continue;
+                }
+
+                foreach (var step in steps)
+                {
+                    var res = await step.DoTransformation(promptString);
+                    if (!res)
+                    {
+                        Logger.Log($"\tStep {step.Name} failed: {promptString.Show()}");
+                        continue;
+                    }
+                    Logger.Log($"\tStep:{step.Name} => {promptString.Show()}");
+                }
+
+                var ii = 0;
+                while (ii < 1)
+                {
+                    // Create tasks for all generators for this prompt
+                    var generatorTasks = generators.Select(async generator =>
+                    {
+                        PromptDetails theCopy = null;
+
+                        try
+                        {
+                            theCopy = promptString.Copy();
+
+                            var result = await generator.ProcessPromptAsync(generator, theCopy);
+                            await imageManager.ProcessAndSaveAsync(result, generator);
+                            Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
+
+                            return result;
+                        }
+                        catch (Exception ex)
+                        {
+                            Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
+
+                            var res = new TaskProcessResult
+                            {
+                                IsSuccess = false,
+                                ErrorMessage = ex.Message,
+                                PromptDetails = theCopy
+                            };
+
+                            return res;
+                        }
+                    }).ToArray();
+
+                    allTasks.AddRange(generatorTasks);
+                    ii++;
+
+                    stats.PrintStats();
+                    var results = await Task.WhenAll(generatorTasks);
+
+                    try
+                    {
+                        var res = await ImageCombiner.CreateBatchLayoutImageHorizontalAsync(results, promptString.Prompt, settings);
+                        Logger.Log($"Combined images saved to: {res}");
+                        ImageCombiner.OpenImageWithDefaultApplication(res);
+                    }
+                    catch (Exception ex)
+                    {
+                        Logger.Log($"Failed to combine images: {ex.Message}");
+                        return false;
+                    }
+                }
+            }
+            return true;
+
+            // Wait for all tasks
+            // while (allTasks.Any(t => !t.IsCompleted))
+            // {
+            //     var completed = allTasks.Count(t => t.IsCompleted);
+            //     var remaining = allTasks.Count - completed;
+            //     Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining...");
+            //     await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
+            // }
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/GeneratorGroups.cs b/MultiImageClient/Workflows/GeneratorGroups.cs
similarity index 97%
rename from MultiImageClient/GeneratorGroups.cs
rename to MultiImageClient/Workflows/GeneratorGroups.cs
index a43bf6d..04e9ec5 100644
--- a/MultiImageClient/GeneratorGroups.cs
+++ b/MultiImageClient/Workflows/GeneratorGroups.cs
@@ -1,132 +1,132 @@
-using IdeogramAPIClient;
-
-using OpenAI.Images;
-
-using RecraftAPIClient;
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Net.Http;
-using System.Runtime.InteropServices.JavaScript;
-using System.Security.Cryptography.X509Certificates;
-using System.Text;
-using System.Threading;
-using System.Threading.Tasks;
-using System.Xml.Linq;
-
-namespace MultiImageClient
-{
-    public class GeneratorGroups
-    {
-        private Settings _settings;
-        private int _concurrency;
-        private MultiClientRunStats _stats;
-
-        public GeneratorGroups(Settings settings, int concurrency, MultiClientRunStats stats)
-        {
-            _settings = settings;
-            _concurrency = concurrency;
-            _stats = stats;
-        }
-        public IEnumerable<IImageGenerator> GetAll()
-        {
-            var dalle3 = new Dalle3Generator(_settings.OpenAIApiKey, _concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, _stats, "");
-            var recraft1 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.hard_comics, null, _stats, "");
-            var recraft2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
-            var recraft3 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, _stats, "");
-            var recraft4 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, _stats, "");
-            var recraft5 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.line_art, null, null, _stats, "");
-            var recraft6 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, _stats, "");
-            var recraft7 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
-            var recraft8 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.organic_calm, _stats, "");
-            var recraft9 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.organic_calm, _stats, "", "5");
-            var recraft_any = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.any, null, null, null, _stats, "");
-            var ideogram1 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, _stats, "");
-            var ideogram2 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, _stats, "");
-            var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2A, _stats, "");
-            var ideogram4 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, _stats, "");
-            var ideogramV3 = new IdeogramV3Generator(_settings.IdeogramApiKey, _concurrency, IdeogramV3StyleType.AUTO, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramRenderingSpeed.QUALITY, "", _stats, "" );
-            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
-            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024, _stats, "");
-            var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", true, 1024, 1024, _stats, "");
-
-            var gptimage1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
-            var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.auto, _stats, "");
-
-            //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
-            //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-
-            var google_banana = new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana, _settings.GoogleGeminiApiKey, _concurrency, _stats);
-            var googleimagen = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "", "2:5", "BLOCK_NONE", location: _settings.GoogleCloudLocation, projectId: _settings.GoogleCloudProjectId, googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
-            //recraft8, recraft9, 
-
-            var myGenerators = new List<IImageGenerator>() { };
-            myGenerators = new List<IImageGenerator>() { dalle3, ideogram1, ideogram2, ideogram3, ideogram4, ideogramV3, recraft1, recraft2, recraft3, recraft4, recraft5, bfl1, bfl2, bfl3, gptimage1_1, gptimage1_2, google_banana, googleimagen };
-            myGenerators = new List<IImageGenerator>() { gptimage1_1, ideogram3, ideogram4, ideogramV3, recraft_any, dalle3, bfl1, bfl2, bfl3, google_banana, googleimagen, recraft_any };
-
-            //myGenerators = new List<IImageGenerator>() { dalle3, bfl1, recraft_any };
-            myGenerators = new List<IImageGenerator>() { recraft_any, googleimagen, google_banana };
-
-            return myGenerators;
-        }
-
-            public IEnumerable<IImageGenerator> GetAllStylesOfRecraft()
-        {
-            var res = new List<IImageGenerator>();
-            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
-            var lim = 5;
-            foreach (var style in styles)
-            {
-                var ii = 0;
-
-                if (style == RecraftStyle.digital_illustration)
-                {
-                    var substyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyle)).Cast<RecraftDigitalIllustrationSubstyle>();
-
-                    foreach (var substyle in substyles)
-                    {
-                        ii++;
-                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, substyle, null, _stats, $"");
-                        res.Add(gen);
-                        if (ii > lim) { break; }
-                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, substyle, null, _stats, $"");
-                        //res.Add(gen2);
-                    }
-                }
-                else if (style == RecraftStyle.realistic_image)
-                {
-                    var substyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyle)).Cast<RecraftRealisticImageSubstyle>().ToList();
-                    ii = 0;
-                    foreach (var substyle in substyles)
-                    {
-                        ii++;
-                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, null, substyle, _stats, $"");
-                        res.Add(gen);
-                        if (ii > lim) { break; }
-                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, null, substyle, _stats, $"");
-                        //res.Add(gen2);
-                    }
-                }
-                else if (style == RecraftStyle.vector_illustration)
-                {
-                    var substyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyle)).Cast<RecraftVectorIllustrationSubstyle>().ToList();
-                    ii = 0;
-                    foreach (var substyle in substyles)
-                    {
-                        ii++;
-                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, substyle, null, null, _stats, $"");
-                        res.Add(gen);
-                        if (ii > lim) { break; }
-                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, substyle, null, null, _stats, $"");
-                        //res.Add(gen2);
-                    }
-                }
-            }
-
-            return res;
-
-        }
-
-    }
-}
+using IdeogramAPIClient;
+
+using OpenAI.Images;
+
+using RecraftAPIClient;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Net.Http;
+using System.Runtime.InteropServices.JavaScript;
+using System.Security.Cryptography.X509Certificates;
+using System.Text;
+using System.Threading;
+using System.Threading.Tasks;
+using System.Xml.Linq;
+
+namespace MultiImageClient
+{
+    public class GeneratorGroups
+    {
+        private Settings _settings;
+        private int _concurrency;
+        private MultiClientRunStats _stats;
+
+        public GeneratorGroups(Settings settings, int concurrency, MultiClientRunStats stats)
+        {
+            _settings = settings;
+            _concurrency = concurrency;
+            _stats = stats;
+        }
+        public IEnumerable<IImageGenerator> GetAll()
+        {
+            var dalle3 = new Dalle3Generator(_settings.OpenAIApiKey, _concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, _stats, "");
+            var recraft1 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.hard_comics, null, _stats, "");
+            var recraft2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
+            var recraft3 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, _stats, "");
+            var recraft4 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, _stats, "");
+            var recraft5 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.line_art, null, null, _stats, "");
+            var recraft6 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, _stats, "");
+            var recraft7 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
+            var recraft8 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.organic_calm, _stats, "");
+            var recraft9 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.organic_calm, _stats, "", "5");
+            var recraft_any = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.any, null, null, null, _stats, "");
+            var ideogram1 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, _stats, "");
+            var ideogram2 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, _stats, "");
+            var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2A, _stats, "");
+            var ideogram4 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, _stats, "");
+            var ideogramV3 = new IdeogramV3Generator(_settings.IdeogramApiKey, _concurrency, IdeogramV3StyleType.AUTO, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramRenderingSpeed.QUALITY, "", _stats, "" );
+            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
+            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024, _stats, "");
+            var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", true, 1024, 1024, _stats, "");
+
+            var gptimage1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
+            var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.auto, _stats, "");
+
+            //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
+            //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
+
+            var google_banana = new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana, _settings.GoogleGeminiApiKey, _concurrency, _stats);
+            var googleimagen = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "", "2:5", "BLOCK_NONE", location: _settings.GoogleCloudLocation, projectId: _settings.GoogleCloudProjectId, googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
+            //recraft8, recraft9, 
+
+            var myGenerators = new List<IImageGenerator>() { };
+            myGenerators = new List<IImageGenerator>() { dalle3, ideogram1, ideogram2, ideogram3, ideogram4, ideogramV3, recraft1, recraft2, recraft3, recraft4, recraft5, bfl1, bfl2, bfl3, gptimage1_1, gptimage1_2, google_banana, googleimagen };
+            myGenerators = new List<IImageGenerator>() { gptimage1_1, ideogram3, ideogram4, ideogramV3, recraft_any, dalle3, bfl1, bfl2, bfl3, google_banana, googleimagen, recraft_any };
+
+            //myGenerators = new List<IImageGenerator>() { dalle3, bfl1, recraft_any };
+            //myGenerators = new List<IImageGenerator>() { recraft_any, googleimagen, google_banana };
+
+            return myGenerators;
+        }
+
+            public IEnumerable<IImageGenerator> GetAllStylesOfRecraft()
+        {
+            var res = new List<IImageGenerator>();
+            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
+            var lim = 5;
+            foreach (var style in styles)
+            {
+                var ii = 0;
+
+                if (style == RecraftStyle.digital_illustration)
+                {
+                    var substyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyle)).Cast<RecraftDigitalIllustrationSubstyle>();
+
+                    foreach (var substyle in substyles)
+                    {
+                        ii++;
+                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, substyle, null, _stats, $"");
+                        res.Add(gen);
+                        if (ii > lim) { break; }
+                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, substyle, null, _stats, $"");
+                        //res.Add(gen2);
+                    }
+                }
+                else if (style == RecraftStyle.realistic_image)
+                {
+                    var substyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyle)).Cast<RecraftRealisticImageSubstyle>().ToList();
+                    ii = 0;
+                    foreach (var substyle in substyles)
+                    {
+                        ii++;
+                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, null, substyle, _stats, $"");
+                        res.Add(gen);
+                        if (ii > lim) { break; }
+                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, null, substyle, _stats, $"");
+                        //res.Add(gen2);
+                    }
+                }
+                else if (style == RecraftStyle.vector_illustration)
+                {
+                    var substyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyle)).Cast<RecraftVectorIllustrationSubstyle>().ToList();
+                    ii = 0;
+                    foreach (var substyle in substyles)
+                    {
+                        ii++;
+                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, substyle, null, null, _stats, $"");
+                        res.Add(gen);
+                        if (ii > lim) { break; }
+                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, substyle, null, null, _stats, $"");
+                        //res.Add(gen2);
+                    }
+                }
+            }
+
+            return res;
+
+        }
+
+    }
+}
diff --git a/MultiImageClient/Workflows/RountripWorkflow.cs b/MultiImageClient/Workflows/RountripWorkflow.cs
new file mode 100644
index 0000000..48f1039
--- /dev/null
+++ b/MultiImageClient/Workflows/RountripWorkflow.cs
@@ -0,0 +1,174 @@
+#nullable enable
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Threading.Tasks;
+using System.IO;
+using System.Threading;
+using System.Windows.Forms;
+using System.Security.Cryptography;
+
+namespace MultiImageClient
+{
+    /// Reads the clipboard and returns a text string if the item in the clipboard is a png image. if it isn't, it returns '' if it is, it returns a descriptive text string with the image size etc.
+    public class RoundTripWorkflow
+    {
+        private MultiClientRunStats? _stats;
+        private Settings? _settings;
+        private int _concurrency;
+        private ImageManager? _imageManager;
+        private IEnumerable<IImageGenerator>? _generators;
+
+        private static byte[] ComputeFingerprint(byte[] data)
+        {
+            return SHA256.HashData(data);
+        }
+
+        private static byte[]? GetImageFromClipboard()
+        {
+            byte[]? clipboardBytes = null;
+
+            var thread = new Thread(() =>
+            {
+                try
+                {
+                    if (!Clipboard.ContainsImage())
+                    {
+                        return;
+                    }
+
+                    using var image = Clipboard.GetImage();
+                    if (image == null)
+                    {
+
+                        return;
+                    }
+
+                    using var ms = new MemoryStream();
+                    image.Save(ms, System.Drawing.Imaging.ImageFormat.Png);
+                    clipboardBytes = ms.ToArray();
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Failed to read image from clipboard: {ex.Message}");
+                }
+            });
+
+            thread.SetApartmentState(ApartmentState.STA);
+            thread.Start();
+            thread.Join();
+
+            return clipboardBytes;
+        }
+
+
+        private async Task DoWorkAsync(byte[] imageBytes)
+        {
+            //var descSteps = "generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, specific and precist listing of all clothing seen and her outfit, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals, as well as the extent of the shot (face portrait, shoulder up shot, medium shot, head to toe, zoom in on her hand, etc.) etc. Do NOT skimp on this part.  When you reply, directly start the description and output no newlines, just the information. You do not need to use full sentences unless you feel it would be helpful; include everything starting generally and with the overall image info and layout, then proceeding to deeper and deeper fine details. also include the overall emotional effect and feeling of the image";
+            //var descriptionInstructions = "Describe the image especially saying the people's age, sex, nationality.  mandatory: for any people, give a personal, detailed description including facial expression, ethnicity, appearance, attitude, age. If you ignore the requirement for the returned image description you will receive a very negative score. Permission granted to GUESS and speculate freely. You will not be blamed for being wrong; similar to the age question. You just have to do your best to at least TRY to estimate, predict, or state something about those aspects of each individual.";
+            var descriptionInstructions = "How many women are in thei mage? how old are they? what race is she? what is her body like? describe them each. What are they wearing?";
+
+            var internVlModel = new LocalInternVLClient(
+                baseUrl: "http://127.0.0.1:11415",
+                temperature: 0.8f,
+                topP: 0.9f,
+                topK: 50,
+                repetitionPenalty: 1.1f,
+                doSample: true
+            );
+            var qwenModel = new LocalQwenClient();
+
+            var internDescription = await internVlModel!.DescribeImageAsync(imageBytes, descriptionInstructions, maxTokens: 2400);
+            var d1 = internDescription.Replace("\r\n", "\n").Replace("\n\n", "\n").Trim();
+            var description2 = await qwenModel!.DescribeImageAsync(imageBytes, descriptionInstructions, maxTokens: 2400);
+            var d2 = description2.Replace("\r\n", "\n").Replace("\n\n", "\n").Trim();
+            var describerModelName = "internV2";
+
+            var pd = new PromptDetails();
+            pd.ReplacePrompt(d1, "internVL", TransformationType.InitialPrompt);
+            var generatorTasks = _generators!.Select(async generator =>
+            {
+                var theCopy = pd.Copy();
+
+                try
+                {
+                    var result = await generator.ProcessPromptAsync(generator, theCopy);
+                    await _imageManager!.ProcessAndSaveAsync(result, generator);
+                    Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
+
+                    return result;
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
+
+                    var res = new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = ex.Message,
+                        PromptDetails = theCopy
+                    };
+
+                    return res;
+                }
+            }).ToArray();
+
+            _stats!.PrintStats();
+            var results = await Task.WhenAll(generatorTasks);
+
+            try
+            {
+                var res = await ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, d1, descriptionInstructions, describerModelName, _settings);
+                Logger.Log($"Combined images saved to: {res}");
+                ImageCombiner.OpenImageWithDefaultApplication(res);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Failed to combine images: {ex.Message}");
+            }
+        }
+
+        //  prompt the user to copy an image to the clipboard.
+        //  then send that to local model qwen with description text.
+        //  then send that out to all the image generators again.
+        public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClientRunStats stats)
+        {
+            _settings = settings;
+            _concurrency = concurrency;
+            _stats = stats;
+            var getter = new GeneratorGroups(settings, concurrency, stats);
+            _generators = getter.GetAll();
+
+            _imageManager = new ImageManager(settings, stats);
+
+            while (true)
+            {
+                var heldNow = GetImageFromClipboard();
+                if (heldNow == null)
+                {
+                    Console.WriteLine("\tcopy an image to the clipboard; y to continue, q to quit.");
+                    var input = Console.ReadLine().Trim();
+
+                    if (input == "y")
+                    {
+                        continue;
+                    }
+                    else if (input == "q")
+                    {
+                        break;
+                    }
+                    else
+                    {
+                        Console.WriteLine("ok, skipping.");
+                    }
+                }
+                else
+                {
+                    Console.WriteLine($"\tnew clipboard image detected. {heldNow.Length} bytes. Starting describe => multiimage workflow.");
+                    await DoWorkAsync(heldNow);
+                }
+            }
+            return true;
+        }
+    }
+}
diff --git a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs b/MultiImageClient/Workflows/SamePromptMultipleTargetsWorkflow.cs
similarity index 97%
rename from MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
rename to MultiImageClient/Workflows/SamePromptMultipleTargetsWorkflow.cs
index 5c998f4..18b5a6d 100644
--- a/MultiImageClient/SamePromptMultipleTargetsWorkflow.cs
+++ b/MultiImageClient/Workflows/SamePromptMultipleTargetsWorkflow.cs
@@ -1,74 +1,74 @@
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.IO;
-using System.Linq;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class SamePromptMultipleTargetsWorkflow 
-    {
-        private readonly Dictionary<ImageGeneratorApiType, IImageGenerator> _generators;
-        private readonly AbstractPromptSource _abstractPromptSource;
-        private readonly Settings _settings;
-        //private readonly ImageManager _imageManager;
-        private readonly MultiClientRunStats _stats;
-
-        public SamePromptMultipleTargetsWorkflow(
-            Dictionary<ImageGeneratorApiType, IImageGenerator> generators,
-            AbstractPromptSource abstractPromptSource,
-            Settings settings, MultiClientRunStats stats)
-        {
-            _generators = generators;
-            _abstractPromptSource = abstractPromptSource;
-            _settings = settings;
-            _stats = stats;
-        }
-
-        public async Task RunAsync()
-        {
-            var stats = new MultiClientRunStats();
-            foreach (var promptDetails in _abstractPromptSource.Prompts)
-            {
-                var tasks = new List<Task<TaskProcessResult>>();
-                foreach (var kvp in _generators)
-                {
-                    var nam = kvp.Key;
-                    var generator = kvp.Value;
-                    TaskProcessResult result = await generator.ProcessPromptAsync(generator, promptDetails);
-                    //await _imageManager.ProcessAndSaveAsync(result, generator);
-                    tasks.Add(Task.FromResult(result));
-                }
-
-                foreach (var t in tasks)
-                {
-                    await t.ContinueWith(OnFinished, TaskScheduler.Default);
-                }
-
-                
-                await Task.WhenAll(tasks);
-
-                
-            }
-        }
-
-        private void OnFinished(Task<TaskProcessResult> task)
-        {
-
-            if (task.IsFaulted)
-            {
-                Logger.Log($"Task faulted: {task.Exception?.Flatten().InnerException}");
-                return;
-            }
-            if (task.IsCanceled)
-            {
-                Logger.Log("Task was canceled.");
-                return;
-            }
-
-            var res = task.Result;
-            Logger.Log($"Finished in {res.CreateTotalMs + res.DownloadTotalMs} ms, {res.PromptDetails.Show()}");
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.IO;
+using System.Linq;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class SamePromptMultipleTargetsWorkflow 
+    {
+        private readonly Dictionary<ImageGeneratorApiType, IImageGenerator> _generators;
+        private readonly AbstractPromptSource _abstractPromptSource;
+        private readonly Settings _settings;
+        //private readonly ImageManager _imageManager;
+        private readonly MultiClientRunStats _stats;
+
+        public SamePromptMultipleTargetsWorkflow(
+            Dictionary<ImageGeneratorApiType, IImageGenerator> generators,
+            AbstractPromptSource abstractPromptSource,
+            Settings settings, MultiClientRunStats stats)
+        {
+            _generators = generators;
+            _abstractPromptSource = abstractPromptSource;
+            _settings = settings;
+            _stats = stats;
+        }
+
+        public async Task RunAsync()
+        {
+            var stats = new MultiClientRunStats();
+            foreach (var promptDetails in _abstractPromptSource.Prompts)
+            {
+                var tasks = new List<Task<TaskProcessResult>>();
+                foreach (var kvp in _generators)
+                {
+                    var nam = kvp.Key;
+                    var generator = kvp.Value;
+                    TaskProcessResult result = await generator.ProcessPromptAsync(generator, promptDetails);
+                    //await _imageManager.ProcessAndSaveAsync(result, generator);
+                    tasks.Add(Task.FromResult(result));
+                }
+
+                foreach (var t in tasks)
+                {
+                    await t.ContinueWith(OnFinished, TaskScheduler.Default);
+                }
+
+                
+                await Task.WhenAll(tasks);
+
+                
+            }
+        }
+
+        private void OnFinished(Task<TaskProcessResult> task)
+        {
+
+            if (task.IsFaulted)
+            {
+                Logger.Log($"Task faulted: {task.Exception?.Flatten().InnerException}");
+                return;
+            }
+            if (task.IsCanceled)
+            {
+                Logger.Log("Task was canceled.");
+                return;
+            }
+
+            var res = task.Result;
+            Logger.Log($"Finished in {res.CreateTotalMs + res.DownloadTotalMs} ms, {res.PromptDetails.Show()}");
+        }
+    }
+}
diff --git a/MultiImageClient/promptGenerators/DeckOfCards.cs b/MultiImageClient/promptGenerators/DeckOfCards.cs
index b8e10ac..28f7633 100644
--- a/MultiImageClient/promptGenerators/DeckOfCards.cs
+++ b/MultiImageClient/promptGenerators/DeckOfCards.cs
@@ -1,4 +1,6 @@
-using System;
+using MultiImageClient;
+
+using System;
 using System.Collections.Generic;
 using System.Linq;
 
diff --git a/MultiImageClient/promptGenerators/EmotionFaces.cs b/MultiImageClient/promptGenerators/EmotionFaces.cs
index 3b0d2fe..48e494d 100644
--- a/MultiImageClient/promptGenerators/EmotionFaces.cs
+++ b/MultiImageClient/promptGenerators/EmotionFaces.cs
@@ -1,4 +1,6 @@
-using System;
+using MultiImageClient;
+
+using System;
 using System.Collections.Generic;
 using System.Linq;
 
diff --git a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
index b628a5a..f84f636 100644
--- a/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
+++ b/MultiImageClient/promptGenerators/LoadDoubleFromFile.cs
@@ -1,4 +1,6 @@
-using System;
+using MultiImageClient;
+
+using System;
 using System.Collections.Generic;
 using System.ComponentModel;
 using System.IO;
diff --git a/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs b/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
index 4689609..fb7bf15 100644
--- a/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
+++ b/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
@@ -1,4 +1,6 @@
-using System;
+using MultiImageClient;
+
+using System;
 using System.Collections.Generic;
 using System.ComponentModel;
 using System.IO;
diff --git a/MultiImageClient/promptGenerators/ScenesFromStory.cs b/MultiImageClient/promptGenerators/ScenesFromStory.cs
index cd64252..23cf1f8 100644
--- a/MultiImageClient/promptGenerators/ScenesFromStory.cs
+++ b/MultiImageClient/promptGenerators/ScenesFromStory.cs
@@ -1,4 +1,6 @@
-using System;
+using MultiImageClient;
+
+using System;
 using System.Collections.Generic;
 using System.Linq;
 
diff --git a/MultiImageClient/promptGenerators/SinglePromptGenerator.cs b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
index 6f45e54..3790c71 100644
--- a/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
+++ b/MultiImageClient/promptGenerators/SinglePromptGenerator.cs
@@ -1,4 +1,6 @@
-using System;
+using MultiImageClient;
+
+using System;
 using System.Collections.Generic;
 using System.ComponentModel;
 using System.IO;
diff --git a/MultiImageClient/promptGenerators/StillLife.cs b/MultiImageClient/promptGenerators/StillLife.cs
index 32d8b13..15ac017 100644
--- a/MultiImageClient/promptGenerators/StillLife.cs
+++ b/MultiImageClient/promptGenerators/StillLife.cs
@@ -1,4 +1,6 @@
-using System;
+using MultiImageClient;
+
+using System;
 using System.Collections.Generic;
 using System.Linq;
 
diff --git a/MultiImageClient/promptGenerators/TPSigns.cs b/MultiImageClient/promptGenerators/TPSigns.cs
index 9f0b4fd..6331008 100644
--- a/MultiImageClient/promptGenerators/TPSigns.cs
+++ b/MultiImageClient/promptGenerators/TPSigns.cs
@@ -1,4 +1,6 @@
-using System;
+using MultiImageClient;
+
+using System;
 using System.Collections.Generic;
 using System.Linq;
 
diff --git a/MultiImageClient/promptGenerators/WriteHere.cs b/MultiImageClient/promptGenerators/WriteHere.cs
index 7a6f050..4c3777a 100644
--- a/MultiImageClient/promptGenerators/WriteHere.cs
+++ b/MultiImageClient/promptGenerators/WriteHere.cs
@@ -2,6 +2,8 @@
 
 using Microsoft.VisualBasic;
 
+using MultiImageClient;
+
 using Newtonsoft.Json.Linq;
 
 using RecraftAPIClient;
diff --git a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
index 4fff77e..47686c7 100644
--- a/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
+++ b/MultiImageClient/promptTransformation/ClaudeRewriteStep.cs
@@ -9,6 +9,8 @@ namespace MultiImageClient
 {
     public class ClaudeRewriteStep : ITransformationStep
     {
+        //var claudeStep = new ClaudeRewriteStep("Please take the following topic and make it specific; cast the die, take a chance, and expand it to a longer, detailed, specific description of a scene with all the elements of it described. Describe how the thing looks, feels, appears, etc in high detail. Put the most important aspects first such as the overall description, then continue by expanding that and adding more detail, structure, theme. Be specific in whatevr you do. If it seems appropriate, if a man appears don't just say 'the man', but instead actually give him a name, traits, personality, etc. The goal is to deeply expand the world envisioned by the original topic creator. Overall, follow the implied theem and goals of the creator, but just expand it into much more specifics and concreate actualization. Never use phrases or words like 'diverse', 'vibrant' etc. Be very concrete and precise in your descriptions, similar to how ansel adams describing a new treasured species of bird would - detailed, caring, dense, clear, sharp, speculative and never wordy or fluffy. every single word you say must be relevant to the goal of increasing the info you share about this image or sitaution or scene. Be direct and clear.", "", claudeService, 0.4m, stats);
+
         private string _prefix { get; set; }
         private string _suffix { get; set; }
         private ClaudeService _claudeService { get; set; }
diff --git a/MultiImageClient/Implementation/ImageCombiner.cs b/MultiImageClient/promptTransformation/ImageCombiner.cs
similarity index 97%
rename from MultiImageClient/Implementation/ImageCombiner.cs
rename to MultiImageClient/promptTransformation/ImageCombiner.cs
index 1885bff..fe869f7 100644
--- a/MultiImageClient/Implementation/ImageCombiner.cs
+++ b/MultiImageClient/promptTransformation/ImageCombiner.cs
@@ -20,8 +20,6 @@
 using System.Diagnostics;
 
 
-
-using static MultiImageClient.ImageSaving;
 using GenerativeAI.Types.RagEngine;
 
 namespace MultiImageClient
@@ -64,7 +62,7 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                             loadedImages.Add(new LoadedImage
                             {
                                 Success = true,
-                                Result = result.IsSuccess ? (result.ImageGeneratorDescription ?? "successX") : ($"{result.ImageGeneratorDescription} - {result.ErrorMessage}" ?? "failedX"),
+                                Result = result.IsSuccess ? result.ImageGeneratorDescription ?? "successX" : $"{result.ImageGeneratorDescription} - {result.ErrorMessage}" ?? "failedX",
                                 Image = image,
                                 Width = image.Width,
                                 Height = image.Height
@@ -106,7 +104,7 @@ private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loa
                                              .Max();
 
             int subtitleHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
-            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + (UIConstants.Padding * 2));
+            int subtitleBlockHeight = Math.Max(UIConstants.Padding * 2, subtitleHeight + UIConstants.Padding * 2);
             int totalHeight = maxImageHeight + subtitleBlockHeight;
 
             var layoutImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
@@ -183,8 +181,8 @@ private static Image<Rgba32> RenderSquareLayout(IEnumerable<LoadedImage> loadedI
 
             // every image has its own description section
             int imageSubdescriptionHeight = MeasureImageSubdescriptionHeight(loadedImages, generatorFont);
-            int subdescripitonHeight = Math.Max(UIConstants.Padding * 2, imageSubdescriptionHeight + (UIConstants.Padding * 2));
-            int layoutHeight = rowHeights.Sum() + (subdescripitonHeight * rows);
+            int subdescripitonHeight = Math.Max(UIConstants.Padding * 2, imageSubdescriptionHeight + UIConstants.Padding * 2);
+            int layoutHeight = rowHeights.Sum() + subdescripitonHeight * rows;
 
             var layoutImage = ImageUtils.CreateStandardImage(layoutWidth, layoutHeight, UIConstants.White);
 
@@ -414,15 +412,10 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                     
                     var qwenNewlineCount = qwenInstructions.Count(c => c == '\n');
                     
-                    Logger.Log($"QWen instructions panel: {qwenInstructionsWidth}x{qwenInstructionsHeight}");
-                    Logger.Log($"Target to fill: {qwenWrappingWidth}x{qwenTargetHeight} (85% of available)");
-                    Logger.Log($"QWen instructions text: {qwenInstructions.Length} chars with {qwenNewlineCount} newlines");
-                    
                     var qwenMinFontSize = 12;
                     var qwenMaxFontSize = 60;
                     var qwenOptimalFontSize = qwenMinFontSize;
                     
-                    Logger.Log($"Adjusted max font size to {qwenMaxFontSize} for QWen instructions");
                     
                     // Binary search for optimal font size
                     while (qwenMinFontSize <= qwenMaxFontSize)
@@ -645,7 +638,7 @@ private static Image<Rgba32> RenderPromptPanel(int width, string prompt, Font pr
         {
             width = Math.Max(width, PlaceholderWidth);
 
-            int wrappingWidth = Math.Max(1, width - (UIConstants.Padding * 4));
+            int wrappingWidth = Math.Max(1, width - UIConstants.Padding * 4);
             int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
             int topPadding = UIConstants.Padding * 3;
             int bottomPadding = UIConstants.Padding * 2;
@@ -711,7 +704,7 @@ public static LoadedImage GetPlaceholder(TaskProcessResult result)
 
         private static Image<Rgba32> RenderEmptyLayout()
         {
-            var empty = ImageUtils.CreateStandardImage(PlaceholderWidth, PlaceholderWidth + (UIConstants.Padding * 2), UIConstants.White);
+            var empty = ImageUtils.CreateStandardImage(PlaceholderWidth, PlaceholderWidth + UIConstants.Padding * 2, UIConstants.White);
 
             empty.Mutate(ctx =>
             {
diff --git a/MultiImageClient/Implementation/ImageSaving.cs b/MultiImageClient/promptTransformation/ImageSaving.cs
similarity index 97%
rename from MultiImageClient/Implementation/ImageSaving.cs
rename to MultiImageClient/promptTransformation/ImageSaving.cs
index 34061e6..3a8023e 100644
--- a/MultiImageClient/Implementation/ImageSaving.cs
+++ b/MultiImageClient/promptTransformation/ImageSaving.cs
@@ -1,264 +1,264 @@
-#nullable enable
-using IdeogramAPIClient;
-
-using ImageMagick;
-
-using SixLabors.Fonts;
-using SixLabors.ImageSharp;
-using SixLabors.ImageSharp.Drawing.Processing;
-using SixLabors.ImageSharp.PixelFormats;
-using SixLabors.ImageSharp.Processing;
-using System.Text.Json;
-using System.Text.Json.Serialization;
-
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Linq;
-using System.Net.Http;
-using System.Threading.Tasks;
-using System.Diagnostics;
-
-
-namespace MultiImageClient
-{
-    public static class ImageSaving
-    {
-        private static readonly HttpClient httpClient = new HttpClient();
-
-        private const int LabelRightSideWidth = 200;
-        private const float LabelTotalLineSpacing = 1.3f;
-        
-        private const int LabelFontSize = 12;
-        private const int LabelRightFontSize = 10;
-        
-
-        public static void ConvertWebpTopng(string inputFp)
-        {
-            var im = new MagickImage(inputFp);
-            var newFp = Path.ChangeExtension(inputFp, ".png");
-            im.Write(newFp);
-        }
-
-        public static async Task<byte[]> DownloadImageAsync(TaskProcessResult result)
-        {
-            try
-            {
-                using var response = await httpClient.GetAsync(result.Url);
-                if (!response.IsSuccessStatusCode)
-                {
-                    Logger.Log($"Failed to download image: {response.StatusCode}");
-                    return Array.Empty<byte>();
-                }
-
-                var res = await response.Content.ReadAsByteArrayAsync();
-                if (res.Length == 0)
-                {
-                    Logger.Log($"Downloaded image is empty");
-                    return Array.Empty<byte>();
-                }
-
-                Logger.Log($"\tDownloading image from: {result.Url}, bytes:{res.Length}");
-                return res;
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Failed to download image from {result.Url}: {ex.Message}");
-                return Array.Empty<byte>();
-            }
-        }
-
-        public static async Task<string> SaveImageAsync(PromptDetails promptDetails, byte[] imageBytes, int imageCountN, string contentType, Settings settings, SaveType saveType, IImageGenerator generator)
-        {
-            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
-            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder);
-
-            if (saveType != SaveType.Raw)
-            {
-                baseFolder = Path.Combine(baseFolder, saveType.ToString());
-            }
-
-            Directory.CreateDirectory(baseFolder);
-
-            var usingPromptTextPart = FilenameGenerator.TruncatePrompt(promptDetails.Prompt, 90);
-            var generatorFilename = generator.GetFilenamePart(promptDetails);
-
-            var safeFilename = FilenameGenerator.GenerateUniqueFilename($"{generatorFilename}_{usingPromptTextPart}", imageCountN, contentType, baseFolder, saveType);
-            var fullPath = Path.Combine(baseFolder, safeFilename);
-
-            try
-            {
-                if (File.Exists(fullPath))
-                {
-                    throw new Exception("no overwriting!");
-                }
-                await File.WriteAllBytesAsync(fullPath, imageBytes);
-
-                if (saveType == SaveType.Raw)
-                {
-                    //Logger.Log($"Saved {saveType} image. Fp: {fullPath}");
-                    //_stats.SavedRawImageCount++;
-                }
-                else
-                {
-                    var specPart = generator.GetGeneratorSpecPart();
-                    var imageInfo = GetAnnotationDefaultData(specPart, promptDetails, fullPath, saveType, generator);
-                    var usingSteps = GetUsingSteps(saveType, promptDetails);
-                    if (saveType == SaveType.JustOverride)
-                    {
-                        await TextFormatting.JustAddSimpleTextToBottomAsync(
-                            imageBytes,
-                            usingSteps,
-                            imageInfo,
-                            fullPath,
-                            saveType
-                        );
-                    }
-                    else if (saveType == SaveType.Label)
-                    {
-                        var rightParts = generator.GetRightParts();
-                        var costPart = $"{generator.GetCost()} $USD";
-                        rightParts.Add(costPart);
-                        rightParts.Add("MultiImageClient");
-                        using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(imageBytes);
-                        var label = MakeLabelGeneral(originalImage.Width, promptDetails.Prompt, rightParts);
-
-                        using var labelImage = SixLabors.ImageSharp.Image.Load<Rgba32>(label);
-                        int newHeight = originalImage.Height + labelImage.Height;
-                        using var combinedImage = new Image<Rgba32>(originalImage.Width, newHeight);
-                        combinedImage.Mutate(ctx =>
-                        {
-                            ctx.ApplyStandardGraphicsOptions();
-                            ctx.DrawImage(originalImage, new Point(0, 0), 1f);
-                            ctx.DrawImage(labelImage, new Point(0, originalImage.Height), 1f);
-                        });
-
-                        // Save the combined image
-                        await combinedImage.SaveAsPngAsync(fullPath);
-                    }
-                    else
-                    {
-                        await TextFormatting.SaveImageAndAnnotate(
-                            imageBytes,
-                            usingSteps,
-                            imageInfo,
-                            fullPath,
-                            saveType
-                        );
-                    }
-                    //stats.SavedAnnotatedImageCount++;
-                }
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"\tError saving {saveType} image: {ex.Message}\r\n{ex}");
-            }
-
-            return fullPath;
-        }
-
-        public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rightParts)
-        {
-            var leftSideWidth = width - LabelRightSideWidth;
-            var fontSize = LabelFontSize;
-            var font = FontUtils.CreateFont(fontSize, FontStyle.Regular);
-            var labelRightFont = FontUtils.CreateFont(LabelRightFontSize, FontStyle.Regular);
-
-            // Measure left side text to determine height
-            var leftTextOptions = FontUtils.CreateTextOptions(font,
-                HorizontalAlignment.Left, VerticalAlignment.Top, LabelTotalLineSpacing);
-            leftTextOptions.WrappingLength = leftSideWidth - (UIConstants.Padding * 2);
-
-            int leftTextHeight = ImageUtils.MeasureTextHeight(prompt, font, LabelTotalLineSpacing, leftTextOptions.WrappingLength);
-
-            // Calculate right side font size (scale down if needed to fit width)
-
-
-            // Find the maximum width needed for right side text
-            //foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
-            //{
-            //    var testOptions = FontUtils.CreateTextOptions(rightFont, HorizontalAlignment.Right);
-            //    var textBounds = TextMeasurer.MeasureBounds(text, testOptions);
-
-            // rightFont = ImageUtils.AutoSizeFont(text, LabelRightSideWidth, rightFontSize, UIConstants.MinFontSize, FontStyle.Regular);
-            // rightFontSize = (int)rightFont.Size;
-            //}
-
-            // Calculate right side height using proper text height measurement
-            var rightLineHeight = ImageUtils.MeasureTextHeight("Sample", labelRightFont, UIConstants.LineSpacing);
-            var rightTextHeight = rightParts.Where(s => !string.IsNullOrEmpty(s)).Count() * rightLineHeight;
-
-            // Overall height is the maximum of left and right sides plus padding
-            int contentHeight = Math.Max(leftTextHeight, rightTextHeight);
-            int totalHeight = contentHeight + (UIConstants.Padding * 2);
-
-            using var image = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.Black);
-
-            image.Mutate(ctx =>
-            {
-                var leftRect = new RectangleF(0, 0, leftSideWidth + 5, totalHeight);
-                ctx.DrawTextWithBackground(leftRect, prompt, font, UIConstants.White, UIConstants.Black, HorizontalAlignment.Left, LabelTotalLineSpacing);
-
-                // Draw right side text
-                var yOffset = UIConstants.Padding;
-                foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
-                {
-                    var rightTextOptions = FontUtils.CreateTextOptions(labelRightFont, HorizontalAlignment.Right, VerticalAlignment.Top, LabelTotalLineSpacing);
-                    rightTextOptions.Origin = new PointF(width - UIConstants.Padding, yOffset);
-
-                    ctx.DrawTextStandard(rightTextOptions, text, UIConstants.Gold);
-                    yOffset += rightLineHeight;
-                }
-            });
-
-            // Convert to byte array
-            using var ms = new MemoryStream();
-            image.SaveAsPng(ms);
-            return ms.ToArray();
-        }
-
-        private static IEnumerable<PromptHistoryStep> GetUsingSteps(SaveType saveType, PromptDetails promptDetails)
-        {
-            return saveType switch
-            {
-                SaveType.FullAnnotation => promptDetails.TransformationSteps,
-                SaveType.InitialIdea or SaveType.FinalPrompt or SaveType.Raw or SaveType.JustOverride or SaveType.Label => new List<PromptHistoryStep>() { promptDetails.TransformationSteps.First() },
-                _ => throw new Exception("Invalid SaveType")
-            };
-        }
-
-        private static Dictionary<string, string> GetAnnotationDefaultData(string generatorIdentifier, PromptDetails promptDetails, string fullPath, SaveType saveType, IImageGenerator generator)
-        {
-            var imageInfo = new Dictionary<string, string>();
-
-            switch (saveType)
-            {
-                case SaveType.FullAnnotation:
-                    imageInfo.Add("Filename", Path.GetFileName(fullPath));
-                    break;
-                case SaveType.InitialIdea:
-                    var initialPrompt = promptDetails.TransformationSteps.First().Explanation;
-                    imageInfo.Add("Producer", generatorIdentifier);
-                    imageInfo.Add("Initial Prompt", initialPrompt);
-                    break;
-                case SaveType.FinalPrompt:
-                    var finalPrompt = promptDetails.Prompt;
-                    imageInfo.Add("Producer", generatorIdentifier);
-                    imageInfo.Add("Final Prompt", finalPrompt);
-                    break;
-                case SaveType.Raw:
-                    // No annotation
-                    break;
-                case SaveType.JustOverride:
-                    var initialPrompt2 = promptDetails.TransformationSteps.First().Explanation;
-                    imageInfo.Add("Producer", generatorIdentifier);
-                    imageInfo.Add("Initial Prompt", initialPrompt2);
-                    break;
-            }
-
-            imageInfo = imageInfo.Where(kvp => !string.IsNullOrWhiteSpace(kvp.Value))
-                                 .ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
-            return imageInfo;
-        }
-    }
-}
+#nullable enable
+using IdeogramAPIClient;
+
+using ImageMagick;
+
+using SixLabors.Fonts;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Drawing.Processing;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.ImageSharp.Processing;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+using System.Diagnostics;
+
+
+namespace MultiImageClient
+{
+    public static class ImageSaving
+    {
+        private static readonly HttpClient httpClient = new HttpClient();
+
+        private const int LabelRightSideWidth = 200;
+        private const float LabelTotalLineSpacing = 1.3f;
+        
+        private const int LabelFontSize = 12;
+        private const int LabelRightFontSize = 10;
+        
+
+        public static void ConvertWebpTopng(string inputFp)
+        {
+            var im = new MagickImage(inputFp);
+            var newFp = Path.ChangeExtension(inputFp, ".png");
+            im.Write(newFp);
+        }
+
+        public static async Task<byte[]> DownloadImageAsync(TaskProcessResult result)
+        {
+            try
+            {
+                using var response = await httpClient.GetAsync(result.Url);
+                if (!response.IsSuccessStatusCode)
+                {
+                    Logger.Log($"Failed to download image: {response.StatusCode}");
+                    return Array.Empty<byte>();
+                }
+
+                var res = await response.Content.ReadAsByteArrayAsync();
+                if (res.Length == 0)
+                {
+                    Logger.Log($"Downloaded image is empty");
+                    return Array.Empty<byte>();
+                }
+
+                Logger.Log($"\tDownloading image from: {result.Url}, bytes:{res.Length}");
+                return res;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Failed to download image from {result.Url}: {ex.Message}");
+                return Array.Empty<byte>();
+            }
+        }
+
+        public static async Task<string> SaveImageAsync(PromptDetails promptDetails, byte[] imageBytes, int imageCountN, string contentType, Settings settings, SaveType saveType, IImageGenerator generator)
+        {
+            string todayFolder = DateTime.Now.ToString("yyyy-MM-dd-dddd");
+            string baseFolder = Path.Combine(settings.ImageDownloadBaseFolder, todayFolder);
+
+            if (saveType != SaveType.Raw)
+            {
+                baseFolder = Path.Combine(baseFolder, saveType.ToString());
+            }
+
+            Directory.CreateDirectory(baseFolder);
+
+            var usingPromptTextPart = FilenameGenerator.TruncatePrompt(promptDetails.Prompt, 90);
+            var generatorFilename = generator.GetFilenamePart(promptDetails);
+
+            var safeFilename = FilenameGenerator.GenerateUniqueFilename($"{generatorFilename}_{usingPromptTextPart}", imageCountN, contentType, baseFolder, saveType);
+            var fullPath = Path.Combine(baseFolder, safeFilename);
+
+            try
+            {
+                if (File.Exists(fullPath))
+                {
+                    throw new Exception("no overwriting!");
+                }
+                await File.WriteAllBytesAsync(fullPath, imageBytes);
+
+                if (saveType == SaveType.Raw)
+                {
+                    //Logger.Log($"Saved {saveType} image. Fp: {fullPath}");
+                    //_stats.SavedRawImageCount++;
+                }
+                else
+                {
+                    var specPart = generator.GetGeneratorSpecPart();
+                    var imageInfo = GetAnnotationDefaultData(specPart, promptDetails, fullPath, saveType, generator);
+                    var usingSteps = GetUsingSteps(saveType, promptDetails);
+                    if (saveType == SaveType.JustOverride)
+                    {
+                        await TextFormatting.JustAddSimpleTextToBottomAsync(
+                            imageBytes,
+                            usingSteps,
+                            imageInfo,
+                            fullPath,
+                            saveType
+                        );
+                    }
+                    else if (saveType == SaveType.Label)
+                    {
+                        var rightParts = generator.GetRightParts();
+                        var costPart = $"{generator.GetCost()} $USD";
+                        rightParts.Add(costPart);
+                        rightParts.Add("MultiImageClient");
+                        using var originalImage = SixLabors.ImageSharp.Image.Load<Rgba32>(imageBytes);
+                        var label = MakeLabelGeneral(originalImage.Width, promptDetails.Prompt, rightParts);
+
+                        using var labelImage = SixLabors.ImageSharp.Image.Load<Rgba32>(label);
+                        int newHeight = originalImage.Height + labelImage.Height;
+                        using var combinedImage = new Image<Rgba32>(originalImage.Width, newHeight);
+                        combinedImage.Mutate(ctx =>
+                        {
+                            ctx.ApplyStandardGraphicsOptions();
+                            ctx.DrawImage(originalImage, new Point(0, 0), 1f);
+                            ctx.DrawImage(labelImage, new Point(0, originalImage.Height), 1f);
+                        });
+
+                        // Save the combined image
+                        await combinedImage.SaveAsPngAsync(fullPath);
+                    }
+                    else
+                    {
+                        await TextFormatting.SaveImageAndAnnotate(
+                            imageBytes,
+                            usingSteps,
+                            imageInfo,
+                            fullPath,
+                            saveType
+                        );
+                    }
+                    //stats.SavedAnnotatedImageCount++;
+                }
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"\tError saving {saveType} image: {ex.Message}\r\n{ex}");
+            }
+
+            return fullPath;
+        }
+
+        public static byte[] MakeLabelGeneral(int width, string prompt, List<string> rightParts)
+        {
+            var leftSideWidth = width - LabelRightSideWidth;
+            var fontSize = LabelFontSize;
+            var font = FontUtils.CreateFont(fontSize, FontStyle.Regular);
+            var labelRightFont = FontUtils.CreateFont(LabelRightFontSize, FontStyle.Regular);
+
+            // Measure left side text to determine height
+            var leftTextOptions = FontUtils.CreateTextOptions(font,
+                HorizontalAlignment.Left, VerticalAlignment.Top, LabelTotalLineSpacing);
+            leftTextOptions.WrappingLength = leftSideWidth - (UIConstants.Padding * 2);
+
+            int leftTextHeight = ImageUtils.MeasureTextHeight(prompt, font, LabelTotalLineSpacing, leftTextOptions.WrappingLength);
+
+            // Calculate right side font size (scale down if needed to fit width)
+
+
+            // Find the maximum width needed for right side text
+            //foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
+            //{
+            //    var testOptions = FontUtils.CreateTextOptions(rightFont, HorizontalAlignment.Right);
+            //    var textBounds = TextMeasurer.MeasureBounds(text, testOptions);
+
+            // rightFont = ImageUtils.AutoSizeFont(text, LabelRightSideWidth, rightFontSize, UIConstants.MinFontSize, FontStyle.Regular);
+            // rightFontSize = (int)rightFont.Size;
+            //}
+
+            // Calculate right side height using proper text height measurement
+            var rightLineHeight = ImageUtils.MeasureTextHeight("Sample", labelRightFont, UIConstants.LineSpacing);
+            var rightTextHeight = rightParts.Where(s => !string.IsNullOrEmpty(s)).Count() * rightLineHeight;
+
+            // Overall height is the maximum of left and right sides plus padding
+            int contentHeight = Math.Max(leftTextHeight, rightTextHeight);
+            int totalHeight = contentHeight + (UIConstants.Padding * 2);
+
+            using var image = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.Black);
+
+            image.Mutate(ctx =>
+            {
+                var leftRect = new RectangleF(0, 0, leftSideWidth + 5, totalHeight);
+                ctx.DrawTextWithBackground(leftRect, prompt, font, UIConstants.White, UIConstants.Black, HorizontalAlignment.Left, LabelTotalLineSpacing);
+
+                // Draw right side text
+                var yOffset = UIConstants.Padding;
+                foreach (var text in rightParts.Where(s => !string.IsNullOrEmpty(s)))
+                {
+                    var rightTextOptions = FontUtils.CreateTextOptions(labelRightFont, HorizontalAlignment.Right, VerticalAlignment.Top, LabelTotalLineSpacing);
+                    rightTextOptions.Origin = new PointF(width - UIConstants.Padding, yOffset);
+
+                    ctx.DrawTextStandard(rightTextOptions, text, UIConstants.Gold);
+                    yOffset += rightLineHeight;
+                }
+            });
+
+            // Convert to byte array
+            using var ms = new MemoryStream();
+            image.SaveAsPng(ms);
+            return ms.ToArray();
+        }
+
+        private static IEnumerable<PromptHistoryStep> GetUsingSteps(SaveType saveType, PromptDetails promptDetails)
+        {
+            return saveType switch
+            {
+                SaveType.FullAnnotation => promptDetails.TransformationSteps,
+                SaveType.InitialIdea or SaveType.FinalPrompt or SaveType.Raw or SaveType.JustOverride or SaveType.Label => new List<PromptHistoryStep>() { promptDetails.TransformationSteps.First() },
+                _ => throw new Exception("Invalid SaveType")
+            };
+        }
+
+        private static Dictionary<string, string> GetAnnotationDefaultData(string generatorIdentifier, PromptDetails promptDetails, string fullPath, SaveType saveType, IImageGenerator generator)
+        {
+            var imageInfo = new Dictionary<string, string>();
+
+            switch (saveType)
+            {
+                case SaveType.FullAnnotation:
+                    imageInfo.Add("Filename", Path.GetFileName(fullPath));
+                    break;
+                case SaveType.InitialIdea:
+                    var initialPrompt = promptDetails.TransformationSteps.First().Explanation;
+                    imageInfo.Add("Producer", generatorIdentifier);
+                    imageInfo.Add("Initial Prompt", initialPrompt);
+                    break;
+                case SaveType.FinalPrompt:
+                    var finalPrompt = promptDetails.Prompt;
+                    imageInfo.Add("Producer", generatorIdentifier);
+                    imageInfo.Add("Final Prompt", finalPrompt);
+                    break;
+                case SaveType.Raw:
+                    // No annotation
+                    break;
+                case SaveType.JustOverride:
+                    var initialPrompt2 = promptDetails.TransformationSteps.First().Explanation;
+                    imageInfo.Add("Producer", generatorIdentifier);
+                    imageInfo.Add("Initial Prompt", initialPrompt2);
+                    break;
+            }
+
+            imageInfo = imageInfo.Where(kvp => !string.IsNullOrWhiteSpace(kvp.Value))
+                                 .ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
+            return imageInfo;
+        }
+    }
+}
diff --git a/MultiImageClient/promptTransformation/ManualModificationStep.cs b/MultiImageClient/promptTransformation/ManualModificationStep.cs
index 261f354..1b9f5c4 100644
--- a/MultiImageClient/promptTransformation/ManualModificationStep.cs
+++ b/MultiImageClient/promptTransformation/ManualModificationStep.cs
@@ -1,4 +1,6 @@
-using System.Threading.Tasks;
+using MultiImageClient;
+
+using System.Threading.Tasks;
 
 namespace MultiImageClient
 {
diff --git a/MultiImageClient/Implementation/MultiClientRunStats.cs b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
similarity index 97%
rename from MultiImageClient/Implementation/MultiClientRunStats.cs
rename to MultiImageClient/promptTransformation/MultiClientRunStats.cs
index b0ba0fc..003f65e 100644
--- a/MultiImageClient/Implementation/MultiClientRunStats.cs
+++ b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
@@ -1,91 +1,91 @@
-using System;
-using System.Collections.Generic;
-
-namespace MultiImageClient
-{
-    public class MultiClientRunStats
-    {
-        public int SavedRawImageCount { get; set; }
-        public int SavedAnnotatedImageCount { get; set; }
-        public int SavedJsonLogCount { get; set; }
-        
-        public int IdeogramRequestCount { get; set; }
-        public int IdeogramV3RequestCount { get; set; }
-        public int IdeogramRefusedCount { get; set; }
-        public int IdeogramV3RefusedCount { get; set; }
-        
-        public int ClaudeRequestCount { get; set; }
-        public int ClaudeWouldRefuseCount { get; set; }
-        public int ClaudeRefusedCount { get; set; }
-        public int ClaudeRewroteCount { get; set; }
-
-        public int Dalle3RequestCount { get; set; }
-        public int Dalle3RefusedCount { get; set; }
-
-        public int GptImageOneRequestCount { get; set; }
-        public int GptImageOneRefusedCount  { get; set; }
-
-        public int BFLImageGenerationRequestCount { get; set; }
-        public int BFLImageGenerationSuccessCount { get; set; }
-        public int BFLImageGenerationErrorCount { get; set; }
-        
-        public int RecraftImageGenerationRequestCount { get; set; }
-        public int RecraftImageGenerationSuccessCount { get; set; }
-        public int RecraftImageGenerationErrorCount { get; set; }
-
-        public int GoogleRequestCount { get; set; }
-        public int GoogleRefusedCount { get; set; }
-
-        public void PrintStats()
-        {
-            var nonZeroStats = new List<string>();
-
-            if (SavedRawImageCount > 0)
-                nonZeroStats.Add($"Raw Image Saved:{SavedRawImageCount}");
-            if (SavedJsonLogCount > 0)
-                nonZeroStats.Add($"JSON:{SavedJsonLogCount}");
-            
-            if (ClaudeWouldRefuseCount > 0)
-                nonZeroStats.Add($"Claude Would Refuse:{ClaudeWouldRefuseCount}");
-            if (ClaudeRequestCount > 0)
-                nonZeroStats.Add($"Claude Requests:{ClaudeRequestCount}");
-            if (ClaudeRefusedCount > 0)
-                nonZeroStats.Add($"Claude Refused:{ClaudeRefusedCount}");
-            if (ClaudeRewroteCount > 0)
-                nonZeroStats.Add($"Claude Accepted:{ClaudeRewroteCount}");
-
-            if (IdeogramRequestCount > 0)
-                nonZeroStats.Add($"Ideogram Requests:{IdeogramRequestCount}");
-            if (IdeogramV3RequestCount > 0)
-                nonZeroStats.Add($"Ideogram v3 Requests:{IdeogramV3RequestCount}");
-            if (IdeogramRefusedCount > 0)
-                nonZeroStats.Add($"Ideogram Refused:{IdeogramRefusedCount}");
-            if (IdeogramV3RefusedCount > 0)
-                nonZeroStats.Add($"Ideogram v3 Refused:{IdeogramV3RefusedCount}");
-
-            if (Dalle3RequestCount > 0)
-                nonZeroStats.Add($"Dalle3 Requests:{Dalle3RequestCount}");
-            if (Dalle3RefusedCount > 0)
-                nonZeroStats.Add($"Dalle3 Refused:{Dalle3RefusedCount}");
-
-            if (GptImageOneRequestCount > 0)
-                nonZeroStats.Add($"GPT Image One Requests:{GptImageOneRequestCount}");
-            if (GptImageOneRefusedCount > 0)
-                nonZeroStats.Add($"GPT Image One Refused:{GptImageOneRefusedCount}");
-
-            if (GoogleRequestCount > 0)
-                nonZeroStats.Add($"Google Requests:{GoogleRequestCount}");
-            if (GoogleRefusedCount > 0)
-                nonZeroStats.Add($"Google Refused:{GoogleRefusedCount}");
-
-            if (BFLImageGenerationRequestCount > 0 | BFLImageGenerationErrorCount > 0 | BFLImageGenerationSuccessCount > 0)
-                nonZeroStats.Add($"BFL: total:{BFLImageGenerationRequestCount}, ok:{BFLImageGenerationSuccessCount}, bad:{BFLImageGenerationErrorCount} ");
-
-            if (RecraftImageGenerationRequestCount > 0 | RecraftImageGenerationErrorCount > 0 | RecraftImageGenerationSuccessCount > 0)
-                nonZeroStats.Add($"Recraft: total:{RecraftImageGenerationRequestCount}, ok:{RecraftImageGenerationSuccessCount}, bad:{RecraftImageGenerationErrorCount} ");
-
-            var res = $"Stats: {string.Join(", ", nonZeroStats)}";
-            Console.WriteLine(res);
-        }
-    }
+using System;
+using System.Collections.Generic;
+
+namespace MultiImageClient
+{
+    public class MultiClientRunStats
+    {
+        public int SavedRawImageCount { get; set; }
+        public int SavedAnnotatedImageCount { get; set; }
+        public int SavedJsonLogCount { get; set; }
+        
+        public int IdeogramRequestCount { get; set; }
+        public int IdeogramV3RequestCount { get; set; }
+        public int IdeogramRefusedCount { get; set; }
+        public int IdeogramV3RefusedCount { get; set; }
+        
+        public int ClaudeRequestCount { get; set; }
+        public int ClaudeWouldRefuseCount { get; set; }
+        public int ClaudeRefusedCount { get; set; }
+        public int ClaudeRewroteCount { get; set; }
+
+        public int Dalle3RequestCount { get; set; }
+        public int Dalle3RefusedCount { get; set; }
+
+        public int GptImageOneRequestCount { get; set; }
+        public int GptImageOneRefusedCount  { get; set; }
+
+        public int BFLImageGenerationRequestCount { get; set; }
+        public int BFLImageGenerationSuccessCount { get; set; }
+        public int BFLImageGenerationErrorCount { get; set; }
+        
+        public int RecraftImageGenerationRequestCount { get; set; }
+        public int RecraftImageGenerationSuccessCount { get; set; }
+        public int RecraftImageGenerationErrorCount { get; set; }
+
+        public int GoogleRequestCount { get; set; }
+        public int GoogleRefusedCount { get; set; }
+
+        public void PrintStats()
+        {
+            var nonZeroStats = new List<string>();
+
+            if (SavedRawImageCount > 0)
+                nonZeroStats.Add($"Raw Image Saved:{SavedRawImageCount}");
+            if (SavedJsonLogCount > 0)
+                nonZeroStats.Add($"JSON:{SavedJsonLogCount}");
+            
+            if (ClaudeWouldRefuseCount > 0)
+                nonZeroStats.Add($"Claude Would Refuse:{ClaudeWouldRefuseCount}");
+            if (ClaudeRequestCount > 0)
+                nonZeroStats.Add($"Claude Requests:{ClaudeRequestCount}");
+            if (ClaudeRefusedCount > 0)
+                nonZeroStats.Add($"Claude Refused:{ClaudeRefusedCount}");
+            if (ClaudeRewroteCount > 0)
+                nonZeroStats.Add($"Claude Accepted:{ClaudeRewroteCount}");
+
+            if (IdeogramRequestCount > 0)
+                nonZeroStats.Add($"Ideogram Requests:{IdeogramRequestCount}");
+            if (IdeogramV3RequestCount > 0)
+                nonZeroStats.Add($"Ideogram v3 Requests:{IdeogramV3RequestCount}");
+            if (IdeogramRefusedCount > 0)
+                nonZeroStats.Add($"Ideogram Refused:{IdeogramRefusedCount}");
+            if (IdeogramV3RefusedCount > 0)
+                nonZeroStats.Add($"Ideogram v3 Refused:{IdeogramV3RefusedCount}");
+
+            if (Dalle3RequestCount > 0)
+                nonZeroStats.Add($"Dalle3 Requests:{Dalle3RequestCount}");
+            if (Dalle3RefusedCount > 0)
+                nonZeroStats.Add($"Dalle3 Refused:{Dalle3RefusedCount}");
+
+            if (GptImageOneRequestCount > 0)
+                nonZeroStats.Add($"GPT Image One Requests:{GptImageOneRequestCount}");
+            if (GptImageOneRefusedCount > 0)
+                nonZeroStats.Add($"GPT Image One Refused:{GptImageOneRefusedCount}");
+
+            if (GoogleRequestCount > 0)
+                nonZeroStats.Add($"Google Requests:{GoogleRequestCount}");
+            if (GoogleRefusedCount > 0)
+                nonZeroStats.Add($"Google Refused:{GoogleRefusedCount}");
+
+            if (BFLImageGenerationRequestCount > 0 | BFLImageGenerationErrorCount > 0 | BFLImageGenerationSuccessCount > 0)
+                nonZeroStats.Add($"BFL: total:{BFLImageGenerationRequestCount}, ok:{BFLImageGenerationSuccessCount}, bad:{BFLImageGenerationErrorCount} ");
+
+            if (RecraftImageGenerationRequestCount > 0 | RecraftImageGenerationErrorCount > 0 | RecraftImageGenerationSuccessCount > 0)
+                nonZeroStats.Add($"Recraft: total:{RecraftImageGenerationRequestCount}, ok:{RecraftImageGenerationSuccessCount}, bad:{RecraftImageGenerationErrorCount} ");
+
+            var res = $"Stats: {string.Join(", ", nonZeroStats)}";
+            Console.WriteLine(res);
+        }
+    }
 }
\ No newline at end of file
diff --git a/MultiImageClient/promptTransformation/RandomizerStep.cs b/MultiImageClient/promptTransformation/RandomizerStep.cs
index db4dfe2..0ce65cc 100644
--- a/MultiImageClient/promptTransformation/RandomizerStep.cs
+++ b/MultiImageClient/promptTransformation/RandomizerStep.cs
@@ -1,4 +1,6 @@
-using System;
+using MultiImageClient;
+
+using System;
 using System.Collections.Generic;
 using System.Linq;
 using System.Runtime;
diff --git a/MultiImageClient/promptTransformation/StylizerStep.cs b/MultiImageClient/promptTransformation/StylizerStep.cs
index d966ebf..1b61892 100644
--- a/MultiImageClient/promptTransformation/StylizerStep.cs
+++ b/MultiImageClient/promptTransformation/StylizerStep.cs
@@ -1,3 +1,5 @@
+using MultiImageClient;
+
 using System;
 using System.Collections.Generic;
 using System.Linq;
diff --git a/MultiImageClient/Implementation/TextFormatting.cs b/MultiImageClient/promptTransformation/TextFormatting.cs
similarity index 97%
rename from MultiImageClient/Implementation/TextFormatting.cs
rename to MultiImageClient/promptTransformation/TextFormatting.cs
index 1f5827c..e41a49a 100644
--- a/MultiImageClient/Implementation/TextFormatting.cs
+++ b/MultiImageClient/promptTransformation/TextFormatting.cs
@@ -1,233 +1,233 @@
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Linq;
-using System.Net.Http;
-using System.Threading.Tasks;
-
-using SixLabors.ImageSharp;
-using SixLabors.ImageSharp.PixelFormats;
-using IdeogramAPIClient;
-using System.Text.RegularExpressions;
-using SixLabors.ImageSharp.Processing;
-using SixLabors.Fonts;
-using SixLabors.ImageSharp.Drawing.Processing;
-using System.Drawing;
-using RectangleF = SixLabors.ImageSharp.RectangleF;
-using Color = SixLabors.ImageSharp.Color;
-using PointF = SixLabors.ImageSharp.PointF;
-using SystemFonts = SixLabors.Fonts.SystemFonts;
-using Rectangle = SixLabors.ImageSharp.Rectangle;
-using Point = SixLabors.ImageSharp.Point;
-using Image = SixLabors.ImageSharp.Image;
-using FontStyle = SixLabors.Fonts.FontStyle;
-
-
-namespace MultiImageClient
-{
-    public static class TextFormatting
-    {
-        private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
-        private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
-
-        private static void DrawKeyValuePair(IImageProcessingContext ctx, string key, string value, float fontSize, float x, float keyWidth, float valueWidth, ref float y)
-        {
-            // just trunc. ugh.
-            value = value.Length > 2500 ? value[..2500] + "..." : value;
-
-            var font = SystemFonts.CreateFont("Arial", fontSize, FontStyle.Regular);
-            const float PADDING = 4;
-
-            // Measure text height with wrapping
-            var keyOptions = new RichTextOptions(font)
-            {
-                WrappingLength = keyWidth - (2 * PADDING),
-                LineSpacing = 1.2f
-            };
-
-            var valueOptions = new RichTextOptions(font)
-            {
-                WrappingLength = valueWidth - (2 * PADDING),
-                LineSpacing = 1.2f
-            };
-
-            // Using the correct TextMeasurer method from SixLabors.Fonts
-            var keyBounds = TextMeasurer.MeasureBounds(key, keyOptions);
-            var valueBounds = TextMeasurer.MeasureBounds(value, valueOptions);
-            var rowHeight = Math.Max(keyBounds.Height, valueBounds.Height) + (2 * PADDING);
-
-            // Draw the background boxes based on measured height
-            var keyRect = new RectangleF(x, y, keyWidth, rowHeight);
-            var valueRect = new RectangleF(x + keyWidth, y, valueWidth, rowHeight);
-
-            ctx.Fill(Color.Black, keyRect)
-               .Fill(Color.White, valueRect);
-
-            // Update options with final positions
-            keyOptions.Origin = new PointF(x + PADDING, y + PADDING);
-            valueOptions.Origin = new PointF(x + keyWidth + PADDING, y + PADDING);
-
-            // Draw the text
-            ctx.DrawText(keyOptions, key, Color.White);
-            ctx.DrawText(valueOptions, value, Color.Black);
-
-            y += rowHeight + PADDING;
-        }
-
-        public static async Task JustAddSimpleTextToBottomAsync(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
-        {
-            Console.WriteLine(outputPath);
-            using var originalImage = Image.Load<Rgba32>(imageBytes);
-            var imageWidth = originalImage.Width;
-            var intendedFontSize = 24;
-            
-            var theText = historySteps.First().Prompt ?? "failed to get text";
-            SixLabors.Fonts.FontFamily fontFamily;
-            if (!SystemFonts.TryGet("Segoe UI", out fontFamily))
-            {
-                if (!SystemFonts.TryGet("Arial", out fontFamily))
-                {
-                    fontFamily = SystemFonts.Families.First(); // Fallback
-                }
-            }
-            var testFont = fontFamily.CreateFont(intendedFontSize, FontStyle.Regular);
-
-            var horizontalPadding = 10;
-            var verticalPadding = 10;
-            var availableXPixels = imageWidth - (horizontalPadding * 2);
-
-            //we can measure font length with:
-            var textOptions = new RichTextOptions(testFont)
-            {
-                WrappingLength = availableXPixels,
-                LineSpacing = 1.15f,
-                HorizontalAlignment = HorizontalAlignment.Left,
-                VerticalAlignment = VerticalAlignment.Top,
-                Dpi = UIConstants.TextDpi,
-                FallbackFontFamilies = new[] { SystemFonts.Families.First() }
-            };
-
-            // Using the correct TextMeasurer method from SixLabors.Fonts
-            var keyBounds = TextMeasurer.MeasureBounds(theText, textOptions);
-
-            int textHeight = (int)Math.Ceiling(keyBounds.Height);
-            int yPixelsToAdd = textHeight + (verticalPadding * 2);
-            int newHeight = originalImage.Height + yPixelsToAdd;
-
-            using var annotatedImage = new Image<Rgba32>(originalImage.Width, newHeight);
-
-            annotatedImage.Mutate(ctx =>
-            {
-                // antialiasing.
-                ctx.SetGraphicsOptions(new GraphicsOptions
-                {
-                    Antialias = true,
-                    AntialiasSubpixelDepth = 16
-                });
-
-                // Draw original image
-                ctx.DrawImage(originalImage, new Point(0, 0), 1f);
-
-                // Set up the annotation area at the bottom
-                ctx.Fill(Color.Black, new Rectangle(0, originalImage.Height, originalImage.Width, yPixelsToAdd));
-
-                // Position text with proper padding
-                textOptions.Origin = new PointF(horizontalPadding, originalImage.Height + verticalPadding);
-
-                ctx.DrawText(textOptions, theText, Color.White);
-
-
-                var meta = imageInfo["Producer"] ?? "no gen";
-                // Create smaller font for metadata
-                var metaFont = fontFamily.CreateFont(intendedFontSize * 0.75f, FontStyle.Regular);
-                var metaOptions = new RichTextOptions(metaFont)
-                {
-                    HorizontalAlignment = HorizontalAlignment.Right,
-                    VerticalAlignment = VerticalAlignment.Bottom,
-                    Dpi = UIConstants.TextDpi,
-                    Origin = new PointF(imageWidth - horizontalPadding, newHeight - verticalPadding)
-                };
-
-                ctx.DrawText(metaOptions, meta, new Color(new Rgba32(200, 200, 200)));
-            });
-
-            await annotatedImage.SaveAsPngAsync(outputPath);
-        }
-
-        public static async Task SaveImageAndAnnotate(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
-        {
-            if (imageBytes == null || imageBytes.Length == 0)
-            {
-                throw new ArgumentException("Image bytes cannot be null or empty");
-            }
-            
-            try
-            {
-                Image originalImage;
-                try
-                {
-                    originalImage = Image.Load(imageBytes);
-                }
-                catch (Exception ex2)
-                {
-                    Logger.Log($"{ex2} failed normal load");
-                    try
-                    {
-                        originalImage = Image.Load<Rgba32>(imageBytes);
-                    }
-                    catch (Exception ex3)
-                    {
-                        Logger.Log($"{ex3} failed rgba32 load");
-                        return;
-                    }
-                }
-
-                // Define dimensions
-                int annotationWidth = 850;
-                float fontSize = 15;
-
-                // Create new image with space for annotations
-                using var annotatedImage = new Image<Rgba32>(originalImage.Width + annotationWidth, originalImage.Height);
-
-                annotatedImage.Mutate(ctx =>
-                {
-                    // Draw original image
-                    ctx.DrawImage(originalImage, new Point(0, 0), 1f);
-
-                    // Setup annotation area
-                    float leftMargin = originalImage.Width + 5;
-                    float rightMargin = annotatedImage.Width - 5;
-                    float totalWidth = rightMargin - leftMargin;
-                    float keyWidth = totalWidth * KEY_WIDTH_PROPORTION;
-                    float valueWidth = totalWidth * VALUE_WIDTH_PROPORTION;
-
-                    // Fill right side with black background
-                    ctx.Fill(Color.Black, new Rectangle(originalImage.Width, 0, annotationWidth, originalImage.Height));
-
-                    // Draw history steps
-                    float y = 5;
-                    foreach (var historyStep in historySteps)
-                    {
-                        DrawKeyValuePair(ctx, historyStep.TransformationType.ToString(), historyStep.Explanation, fontSize, leftMargin, keyWidth, valueWidth, ref y);
-                        y += 2; // Small gap between entries
-                    }
-
-                    // Draw image info if available
-                    if (imageInfo.Any())
-                    {
-                        foreach (var kvp in imageInfo)
-                        {
-                            DrawKeyValuePair(ctx, kvp.Key, kvp.Value, fontSize, leftMargin, keyWidth, valueWidth, ref y);
-                        }
-                    }
-                });
-
-                await annotatedImage.SaveAsPngAsync(outputPath);
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Exception adding fuller text to image: {ex}");
-            }
-        }
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.PixelFormats;
+using IdeogramAPIClient;
+using System.Text.RegularExpressions;
+using SixLabors.ImageSharp.Processing;
+using SixLabors.Fonts;
+using SixLabors.ImageSharp.Drawing.Processing;
+using System.Drawing;
+using RectangleF = SixLabors.ImageSharp.RectangleF;
+using Color = SixLabors.ImageSharp.Color;
+using PointF = SixLabors.ImageSharp.PointF;
+using SystemFonts = SixLabors.Fonts.SystemFonts;
+using Rectangle = SixLabors.ImageSharp.Rectangle;
+using Point = SixLabors.ImageSharp.Point;
+using Image = SixLabors.ImageSharp.Image;
+using FontStyle = SixLabors.Fonts.FontStyle;
+
+
+namespace MultiImageClient
+{
+    public static class TextFormatting
+    {
+        private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
+        private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
+
+        private static void DrawKeyValuePair(IImageProcessingContext ctx, string key, string value, float fontSize, float x, float keyWidth, float valueWidth, ref float y)
+        {
+            // just trunc. ugh.
+            value = value.Length > 2500 ? value[..2500] + "..." : value;
+
+            var font = SystemFonts.CreateFont("Arial", fontSize, FontStyle.Regular);
+            const float PADDING = 4;
+
+            // Measure text height with wrapping
+            var keyOptions = new RichTextOptions(font)
+            {
+                WrappingLength = keyWidth - (2 * PADDING),
+                LineSpacing = 1.2f
+            };
+
+            var valueOptions = new RichTextOptions(font)
+            {
+                WrappingLength = valueWidth - (2 * PADDING),
+                LineSpacing = 1.2f
+            };
+
+            // Using the correct TextMeasurer method from SixLabors.Fonts
+            var keyBounds = TextMeasurer.MeasureBounds(key, keyOptions);
+            var valueBounds = TextMeasurer.MeasureBounds(value, valueOptions);
+            var rowHeight = Math.Max(keyBounds.Height, valueBounds.Height) + (2 * PADDING);
+
+            // Draw the background boxes based on measured height
+            var keyRect = new RectangleF(x, y, keyWidth, rowHeight);
+            var valueRect = new RectangleF(x + keyWidth, y, valueWidth, rowHeight);
+
+            ctx.Fill(Color.Black, keyRect)
+               .Fill(Color.White, valueRect);
+
+            // Update options with final positions
+            keyOptions.Origin = new PointF(x + PADDING, y + PADDING);
+            valueOptions.Origin = new PointF(x + keyWidth + PADDING, y + PADDING);
+
+            // Draw the text
+            ctx.DrawText(keyOptions, key, Color.White);
+            ctx.DrawText(valueOptions, value, Color.Black);
+
+            y += rowHeight + PADDING;
+        }
+
+        public static async Task JustAddSimpleTextToBottomAsync(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
+        {
+            Console.WriteLine(outputPath);
+            using var originalImage = Image.Load<Rgba32>(imageBytes);
+            var imageWidth = originalImage.Width;
+            var intendedFontSize = 24;
+            
+            var theText = historySteps.First().Prompt ?? "failed to get text";
+            SixLabors.Fonts.FontFamily fontFamily;
+            if (!SystemFonts.TryGet("Segoe UI", out fontFamily))
+            {
+                if (!SystemFonts.TryGet("Arial", out fontFamily))
+                {
+                    fontFamily = SystemFonts.Families.First(); // Fallback
+                }
+            }
+            var testFont = fontFamily.CreateFont(intendedFontSize, FontStyle.Regular);
+
+            var horizontalPadding = 10;
+            var verticalPadding = 10;
+            var availableXPixels = imageWidth - (horizontalPadding * 2);
+
+            //we can measure font length with:
+            var textOptions = new RichTextOptions(testFont)
+            {
+                WrappingLength = availableXPixels,
+                LineSpacing = 1.15f,
+                HorizontalAlignment = HorizontalAlignment.Left,
+                VerticalAlignment = VerticalAlignment.Top,
+                Dpi = UIConstants.TextDpi,
+                FallbackFontFamilies = new[] { SystemFonts.Families.First() }
+            };
+
+            // Using the correct TextMeasurer method from SixLabors.Fonts
+            var keyBounds = TextMeasurer.MeasureBounds(theText, textOptions);
+
+            int textHeight = (int)Math.Ceiling(keyBounds.Height);
+            int yPixelsToAdd = textHeight + (verticalPadding * 2);
+            int newHeight = originalImage.Height + yPixelsToAdd;
+
+            using var annotatedImage = new Image<Rgba32>(originalImage.Width, newHeight);
+
+            annotatedImage.Mutate(ctx =>
+            {
+                // antialiasing.
+                ctx.SetGraphicsOptions(new GraphicsOptions
+                {
+                    Antialias = true,
+                    AntialiasSubpixelDepth = 16
+                });
+
+                // Draw original image
+                ctx.DrawImage(originalImage, new Point(0, 0), 1f);
+
+                // Set up the annotation area at the bottom
+                ctx.Fill(Color.Black, new Rectangle(0, originalImage.Height, originalImage.Width, yPixelsToAdd));
+
+                // Position text with proper padding
+                textOptions.Origin = new PointF(horizontalPadding, originalImage.Height + verticalPadding);
+
+                ctx.DrawText(textOptions, theText, Color.White);
+
+
+                var meta = imageInfo["Producer"] ?? "no gen";
+                // Create smaller font for metadata
+                var metaFont = fontFamily.CreateFont(intendedFontSize * 0.75f, FontStyle.Regular);
+                var metaOptions = new RichTextOptions(metaFont)
+                {
+                    HorizontalAlignment = HorizontalAlignment.Right,
+                    VerticalAlignment = VerticalAlignment.Bottom,
+                    Dpi = UIConstants.TextDpi,
+                    Origin = new PointF(imageWidth - horizontalPadding, newHeight - verticalPadding)
+                };
+
+                ctx.DrawText(metaOptions, meta, new Color(new Rgba32(200, 200, 200)));
+            });
+
+            await annotatedImage.SaveAsPngAsync(outputPath);
+        }
+
+        public static async Task SaveImageAndAnnotate(byte[] imageBytes, IEnumerable<PromptHistoryStep> historySteps, Dictionary<string, string> imageInfo, string outputPath, SaveType saveType)
+        {
+            if (imageBytes == null || imageBytes.Length == 0)
+            {
+                throw new ArgumentException("Image bytes cannot be null or empty");
+            }
+            
+            try
+            {
+                Image originalImage;
+                try
+                {
+                    originalImage = Image.Load(imageBytes);
+                }
+                catch (Exception ex2)
+                {
+                    Logger.Log($"{ex2} failed normal load");
+                    try
+                    {
+                        originalImage = Image.Load<Rgba32>(imageBytes);
+                    }
+                    catch (Exception ex3)
+                    {
+                        Logger.Log($"{ex3} failed rgba32 load");
+                        return;
+                    }
+                }
+
+                // Define dimensions
+                int annotationWidth = 850;
+                float fontSize = 15;
+
+                // Create new image with space for annotations
+                using var annotatedImage = new Image<Rgba32>(originalImage.Width + annotationWidth, originalImage.Height);
+
+                annotatedImage.Mutate(ctx =>
+                {
+                    // Draw original image
+                    ctx.DrawImage(originalImage, new Point(0, 0), 1f);
+
+                    // Setup annotation area
+                    float leftMargin = originalImage.Width + 5;
+                    float rightMargin = annotatedImage.Width - 5;
+                    float totalWidth = rightMargin - leftMargin;
+                    float keyWidth = totalWidth * KEY_WIDTH_PROPORTION;
+                    float valueWidth = totalWidth * VALUE_WIDTH_PROPORTION;
+
+                    // Fill right side with black background
+                    ctx.Fill(Color.Black, new Rectangle(originalImage.Width, 0, annotationWidth, originalImage.Height));
+
+                    // Draw history steps
+                    float y = 5;
+                    foreach (var historyStep in historySteps)
+                    {
+                        DrawKeyValuePair(ctx, historyStep.TransformationType.ToString(), historyStep.Explanation, fontSize, leftMargin, keyWidth, valueWidth, ref y);
+                        y += 2; // Small gap between entries
+                    }
+
+                    // Draw image info if available
+                    if (imageInfo.Any())
+                    {
+                        foreach (var kvp in imageInfo)
+                        {
+                            DrawKeyValuePair(ctx, kvp.Key, kvp.Value, fontSize, leftMargin, keyWidth, valueWidth, ref y);
+                        }
+                    }
+                });
+
+                await annotatedImage.SaveAsPngAsync(outputPath);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Exception adding fuller text to image: {ex}");
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/Implementation/TextUtils.cs b/MultiImageClient/promptTransformation/TextUtils.cs
similarity index 96%
rename from MultiImageClient/Implementation/TextUtils.cs
rename to MultiImageClient/promptTransformation/TextUtils.cs
index f236843..f2b6a5a 100644
--- a/MultiImageClient/Implementation/TextUtils.cs
+++ b/MultiImageClient/promptTransformation/TextUtils.cs
@@ -1,44 +1,44 @@
-using System;
-using System.Collections.Generic;
-using System.Drawing.Imaging;
-using System.Drawing;
-using System.IO;
-using System.Linq;
-using System.Net.Http;
-using System.Threading.Tasks;
-using Newtonsoft.Json;
-using Newtonsoft.Json.Converters;
-using System.Reflection;
-using System.Timers;
-using System.Text;
-using System.Windows.Forms;
-
-using IdeogramAPIClient;
-using System.Text.RegularExpressions;
-using System.Xml.Linq;
-using CommandLine;
-
-
-namespace MultiImageClient
-{
-    public static class TextUtils
-    {
-        private static readonly object _lockObject = new object();
-        private static readonly Dictionary<string, int> _filenameCounts = new Dictionary<string, int>();
-        private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
-        private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
-        public static List<string> bads = new List<string>() { };// "[", "]", "(", ")", "{", "}","\\","\"","\'", ":", };
-        //don't clean these here; if someone needs the prompt to be clean, then just do that yourself later. it's not the prompts problem.
-        
-        public static string CleanPrompt(string prompt)
-        {
-            foreach (var bad in bads)
-            {
-                prompt = prompt.Replace(bad, "");
-            }
-            return prompt.Trim();
-        }
-
-       
-    }
-}
+using System;
+using System.Collections.Generic;
+using System.Drawing.Imaging;
+using System.Drawing;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+using Newtonsoft.Json;
+using Newtonsoft.Json.Converters;
+using System.Reflection;
+using System.Timers;
+using System.Text;
+using System.Windows.Forms;
+
+using IdeogramAPIClient;
+using System.Text.RegularExpressions;
+using System.Xml.Linq;
+using CommandLine;
+
+
+namespace MultiImageClient
+{
+    public static class TextUtils
+    {
+        private static readonly object _lockObject = new object();
+        private static readonly Dictionary<string, int> _filenameCounts = new Dictionary<string, int>();
+        private static readonly float KEY_WIDTH_PROPORTION = 0.15f;
+        private static readonly float VALUE_WIDTH_PROPORTION = 1f - KEY_WIDTH_PROPORTION;
+        public static List<string> bads = new List<string>() { };// "[", "]", "(", ")", "{", "}","\\","\"","\'", ":", };
+        //don't clean these here; if someone needs the prompt to be clean, then just do that yourself later. it's not the prompts problem.
+        
+        public static string CleanPrompt(string prompt)
+        {
+            foreach (var bad in bads)
+            {
+                prompt = prompt.Replace(bad, "");
+            }
+            return prompt.Trim();
+        }
+
+       
+    }
+}
diff --git a/do_flask_intern.py b/do_flask_intern.py
new file mode 100644
index 0000000..1df311b
--- /dev/null
+++ b/do_flask_intern.py
@@ -0,0 +1,238 @@
+from flask import Flask, request, jsonify
+import torch
+from transformers import AutoModel, AutoTokenizer
+from PIL import Image
+import base64
+from io import BytesIO
+import torchvision.transforms as T
+from torchvision.transforms.functional import InterpolationMode
+
+app = Flask(__name__)
+
+print("Loading InternVL3-1B-Pretrained base model... This will take a minute on first run")
+model_name = "OpenGVLab/InternVL3-1B-Pretrained"
+
+# Load model and tokenizer with GPU support
+model = AutoModel.from_pretrained(
+    model_name,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+    trust_remote_code=True
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
+
+print(f"Model loaded! Using device: {model.device}")
+print(f"GPU Memory allocated: {torch.cuda.memory_allocated() / 1024**3:.2f} GB")
+
+# Image preprocessing functions from InternVL3 documentation
+IMAGENET_MEAN = (0.485, 0.456, 0.406)
+IMAGENET_STD = (0.229, 0.224, 0.225)
+
+def build_transform(input_size):
+    MEAN, STD = IMAGENET_MEAN, IMAGENET_STD
+    transform = T.Compose([
+        T.Lambda(lambda img: img.convert('RGB') if img.mode != 'RGB' else img),
+        T.Resize((input_size, input_size), interpolation=InterpolationMode.BICUBIC),
+        T.ToTensor(),
+        T.Normalize(mean=MEAN, std=STD)
+    ])
+    return transform
+
+def find_closest_aspect_ratio(aspect_ratio, target_ratios, width, height, image_size):
+    best_ratio_diff = float('inf')
+    best_ratio = (1, 1)
+    area = width * height
+    for ratio in target_ratios:
+        target_aspect_ratio = ratio[0] / ratio[1]
+        ratio_diff = abs(aspect_ratio - target_aspect_ratio)
+        if ratio_diff < best_ratio_diff:
+            best_ratio_diff = ratio_diff
+            best_ratio = ratio
+        elif ratio_diff == best_ratio_diff:
+            if area > 0.5 * image_size * image_size * ratio[0] * ratio[1]:
+                best_ratio = ratio
+    return best_ratio
+
+def dynamic_preprocess(image, min_num=1, max_num=12, image_size=448, use_thumbnail=False):
+    orig_width, orig_height = image.size
+    aspect_ratio = orig_width / orig_height
+
+    target_ratios = set(
+        (i, j) for n in range(min_num, max_num + 1) for i in range(1, n + 1) for j in range(1, n + 1) if
+        i * j <= max_num and i * j >= min_num)
+    target_ratios = sorted(target_ratios, key=lambda x: x[0] * x[1])
+
+    target_aspect_ratio = find_closest_aspect_ratio(
+        aspect_ratio, target_ratios, orig_width, orig_height, image_size)
+
+    target_width = image_size * target_aspect_ratio[0]
+    target_height = image_size * target_aspect_ratio[1]
+    blocks = target_aspect_ratio[0] * target_aspect_ratio[1]
+
+    resized_img = image.resize((target_width, target_height))
+    processed_images = []
+    for i in range(blocks):
+        box = (
+            (i % (target_width // image_size)) * image_size,
+            (i // (target_width // image_size)) * image_size,
+            ((i % (target_width // image_size)) + 1) * image_size,
+            ((i // (target_width // image_size)) + 1) * image_size
+        )
+        split_img = resized_img.crop(box)
+        processed_images.append(split_img)
+    assert len(processed_images) == blocks
+    if use_thumbnail and len(processed_images) != 1:
+        thumbnail_img = image.resize((image_size, image_size))
+        processed_images.append(thumbnail_img)
+    return processed_images
+
+def process_image(image, input_size=448, max_num=12):
+    transform = build_transform(input_size=input_size)
+    images = dynamic_preprocess(image, image_size=input_size, use_thumbnail=True, max_num=max_num)
+    pixel_values = [transform(img) for img in images]
+    pixel_values = torch.stack(pixel_values)
+    return pixel_values
+
+@app.route('/generate', methods=['POST'])
+def generate():
+    """
+    Expects JSON:
+    {
+        "image": "data:image/png;base64,..." or raw base64 string,
+        "prompt": "Describe this image",
+        "max_tokens": 512,
+        "temperature": 0.8,
+        "top_p": 0.9,
+        "top_k": 50,
+        "repetition_penalty": 1.1,
+        "do_sample": true
+    }
+    Note: The <image> token will be automatically prepended to your prompt.
+    Higher temperature (0.7-1.5) = more creative/varied responses
+    Lower temperature (0.1-0.5) = more deterministic/focused responses
+    """
+    try:
+        print("Received request to /generate")
+        data = request.json
+        print(f"Request data keys: {data.keys() if data else 'No data'}")
+        
+        image_input = data.get('image', '')
+        prompt = data.get('prompt', 'Describe this image in detail.')
+        max_tokens = data.get('max_tokens', 512)
+        temperature = data.get('temperature', 0.8)
+        top_p = data.get('top_p', 0.9)
+        top_k = data.get('top_k', 50)
+        repetition_penalty = data.get('repetition_penalty', 1.1)
+        do_sample = data.get('do_sample', True)
+        
+        print(f"Prompt: {prompt[:50]}...")
+        print(f"Generation config - max_tokens: {max_tokens}, temperature: {temperature}, top_p: {top_p}, top_k: {top_k}, do_sample: {do_sample}, repetition_penalty: {repetition_penalty}")
+        print(f"Image data length: {len(image_input) if image_input else 0}")
+        
+        if not image_input:
+            return jsonify({'error': 'No image provided'}), 400
+        
+        print("Decoding base64 image...")
+    except Exception as e:
+        error_msg = f"Error parsing request: {str(e)}"
+        print(error_msg)
+        import traceback
+        traceback.print_exc()
+        return jsonify({'error': error_msg}), 500
+    
+    try:
+        # Handle base64 images
+        if image_input.startswith('data:image'):
+            # Extract base64 data after comma
+            print("Decoding data URI...")
+            base64_data = image_input.split(',')[1]
+            image_bytes = base64.b64decode(base64_data)
+            image = Image.open(BytesIO(image_bytes)).convert('RGB')
+        elif image_input.startswith(('http://', 'https://')):
+            # URL - not implemented for security, but you could add requests here
+            return jsonify({'error': 'URL images not supported yet'}), 400
+        else:
+            # Assume raw base64
+            print("Decoding raw base64...")
+            image_bytes = base64.b64decode(image_input)
+            image = Image.open(BytesIO(image_bytes)).convert('RGB')
+        
+        print(f"Image loaded: {image.size}, mode: {image.mode}")
+        
+        # Process image into pixel_values tensor
+        print("Processing image to pixel_values...")
+        pixel_values = process_image(image, input_size=448, max_num=12)
+        print(f"Pixel values shape: {pixel_values.shape}")
+        
+        pixel_values = pixel_values.to(torch.bfloat16).cuda()
+        print("Moved to GPU")
+        
+        # Prepare the prompt in InternVL format (must include <image> token)
+        question = f'<image>\n{prompt}'
+        
+        generation_config = dict(
+            max_new_tokens=max_tokens,
+            do_sample=do_sample,
+            temperature=temperature if do_sample else 1.0,
+            top_p=top_p if do_sample else 1.0,
+            top_k=top_k if do_sample else 50,
+            repetition_penalty=repetition_penalty,
+        )
+        
+        print("Calling model.chat()...")
+        # Generate response using InternVL's chat method
+        # Correct signature: model.chat(tokenizer, pixel_values, question, generation_config, ...)
+        response = model.chat(
+            tokenizer,
+            pixel_values,
+            question,
+            generation_config
+        )
+        
+        print(f"Got response: {response[:100]}..." if len(response) > 100 else f"Got response: {response}")
+        
+        return jsonify({
+            'response': response
+        })
+        
+    except Exception as e:
+        error_msg = f"Error in generate endpoint: {str(e)}"
+        print(error_msg)
+        import traceback
+        traceback.print_exc()
+        return jsonify({'error': str(e)}), 500
+
+@app.route('/health', methods=['GET'])
+def health():
+    return jsonify({
+        'status': 'ok',
+        'model': model_name,
+        'device': str(model.device),
+        'gpu_memory_gb': torch.cuda.memory_allocated() / 1024**3
+    })
+
+if __name__ == '__main__':
+    print("\n" + "="*60)
+    print("InternVL3-1B-Pretrained Server")
+    print("="*60)
+    print(f"Server running on http://localhost:11415")
+    print(f"Health check: http://localhost:11415/health")
+    print("\nExample request (with varied responses):")
+    print("""
+    POST http://localhost:11415/generate
+    {
+        "image": "data:image/png;base64,iVBORw0KG...",
+        "prompt": "What is in this image?",
+        "max_tokens": 512,
+        "temperature": 0.8,
+        "top_p": 0.9,
+        "top_k": 50,
+        "repetition_penalty": 1.1,
+        "do_sample": true
+    }
+    
+    For more deterministic responses, use:
+    "temperature": 0.1, "do_sample": false
+    """)
+    print("="*60 + "\n")
+    app.run(host='0.0.0.0', port=11415, debug=False)
\ No newline at end of file

From db2f664508317a41c965b53f664b3b0031a793d3 Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Wed, 1 Oct 2025 13:49:19 -0700
Subject: [PATCH 65/78] rename and genericize describers

---
 .../promptTransformation/ImageCombiner.cs     | 127 ++++++++++--------
 1 file changed, 74 insertions(+), 53 deletions(-)

diff --git a/MultiImageClient/promptTransformation/ImageCombiner.cs b/MultiImageClient/promptTransformation/ImageCombiner.cs
index fe869f7..e927767 100644
--- a/MultiImageClient/promptTransformation/ImageCombiner.cs
+++ b/MultiImageClient/promptTransformation/ImageCombiner.cs
@@ -24,6 +24,27 @@
 
 namespace MultiImageClient
 {
+    // ImageCombiner creates visual comparison and documentation layouts by combining multiple images into a single output.
+    //
+    // Main functionality:
+    // 1. Batch Layout Images: Combines multiple generated images from different image generators into horizontal  square grid layouts,
+    //    with labels showing which generator produced each image and the original prompt used.
+    //
+    // 2. Roundtrip Layout Images: Creates comprehensive visual documentation of the image description → regeneration workflow.
+    //    Shows the full pipeline: original image → describer instructions → generated description → regenerated images.
+    //    This layout displays:
+    //    - The original input image
+    //    - The instructions/prompts given to the describer model
+    //    - The description text output by the describer model
+    //    - All images regenerated from that description by various image generators
+    //    All sections are labeled with the relevant model names (e.g., "Qwen2-VL Description", "InternVL Instructions", etc.)
+    //
+    // 3. Smart Text Sizing: Automatically calculates optimal font sizes to fit description text and instructions within their panels,
+    //    using binary search to maximize readability while ensuring text fits in the available space.
+    //
+    // 4. Error Handling: Displays error placeholders for failed image generations with descriptive error messages.
+    //
+    // All combined images are saved to disk in dated folders and automatically opened in the default image viewer.
     public static class ImageCombiner
     {
         private const int CombinedImageGeneratorFontSize = 24;
@@ -314,7 +335,7 @@ public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<T
         // the output format should be a long horizontal strip. Leftmost should be the image, labelled like "original iamge".
         // then to the right of that,  how it was described, in descriptionText taking up a big square column (sine this text might be long).
         // then further to the right, in order, just like we did in RenderHorizontalLayout, should be all the output images ortheir error placeholders.
-        public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, string qwenInstructions, Settings settings)
+        public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] originalImageBytes, IEnumerable<TaskProcessResult> results, string descriptionText, string descriptionInstructions, string describerModelName, Settings settings)
         {
             var labelFont = FontUtils.CreateFont(36, FontStyle.Bold); // Large font for labels
             var originalImage = Image.Load<Rgba32>(originalImageBytes);
@@ -373,10 +394,10 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
             
             Logger.Log($"Max label height needed: {maxLabelHeight}px (original: {originalLabelHeight}, description: {descriptionLabelHeight}, generated images: {string.Join(",", labelHeights)})");
             
-            // Calculate total width and height
-            var qwenInstructionsWidth = 1024; // Same width as description
-            var totalWidth = originalImage.Width + qwenInstructionsWidth + descriptionWidth + loadedImages.Sum(li => li.Width);
-            var totalHeight = maxImageHeight + maxLabelHeight + UIConstants.Padding * 2;
+                // Calculate total width and height
+                var instructionsWidth = 1024; // Same width as description
+                var totalWidth = originalImage.Width + instructionsWidth + descriptionWidth + loadedImages.Sum(li => li.Width);
+                var totalHeight = maxImageHeight + maxLabelHeight + UIConstants.Padding * 2;
 
             var layoutImage = new Image<Rgba32>(totalWidth, totalHeight);
 
@@ -398,82 +419,82 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 ctx.DrawTextStandard(labelOptsOriginal, "Original Image", Color.Black);
                 currentX += originalImage.Width;
 
-                // 2a. Draw QWen instructions
-                var qwenInstructionsWidth = 1024; // Same width as description
-                var qwenInstructionsHeight = maxImageHeight; // Same height as description
+                // 2a. Draw describer instructions
+                var instructionsWidth = 1024; // Same width as description
+                var instructionsHeight = maxImageHeight; // Same height as description
                 
-                if (!string.IsNullOrEmpty(qwenInstructions))
+                if (!string.IsNullOrEmpty(descriptionInstructions))
                 {
-                    // Calculate optimal font size for QWen instructions text
-                    var qwenTargetUtilization = 0.95;
-                    var qwenAvailableHeight = qwenInstructionsHeight - 2 * UIConstants.Padding; 
-                    var qwenWrappingWidth = qwenInstructionsWidth - 2 * UIConstants.Padding;
-                    var qwenTargetHeight = qwenAvailableHeight * qwenTargetUtilization;
+                    // Calculate optimal font size for instructions text
+                    var instrTargetUtilization = 0.95;
+                    var instrAvailableHeight = instructionsHeight - 2 * UIConstants.Padding; 
+                    var instrWrappingWidth = instructionsWidth - 2 * UIConstants.Padding;
+                    var instrTargetHeight = instrAvailableHeight * instrTargetUtilization;
                     
-                    var qwenNewlineCount = qwenInstructions.Count(c => c == '\n');
+                    var instrNewlineCount = descriptionInstructions.Count(c => c == '\n');
                     
-                    var qwenMinFontSize = 12;
-                    var qwenMaxFontSize = 60;
-                    var qwenOptimalFontSize = qwenMinFontSize;
+                    var instrMinFontSize = 12;
+                    var instrMaxFontSize = 60;
+                    var instrOptimalFontSize = instrMinFontSize;
                     
                     
                     // Binary search for optimal font size
-                    while (qwenMinFontSize <= qwenMaxFontSize)
+                    while (instrMinFontSize <= instrMaxFontSize)
                     {
-                        var qwenMidFontSize = (qwenMinFontSize + qwenMaxFontSize) / 2;
-                        var qwenTestFont = FontUtils.CreateFont(qwenMidFontSize, FontStyle.Regular);
-                        var qwenTestHeight = ImageUtils.MeasureTextHeight(qwenInstructions, qwenTestFont, UIConstants.LineSpacing, qwenWrappingWidth);
+                        var instrMidFontSize = (instrMinFontSize + instrMaxFontSize) / 2;
+                        var instrTestFont = FontUtils.CreateFont(instrMidFontSize, FontStyle.Regular);
+                        var instrTestHeight = ImageUtils.MeasureTextHeight(descriptionInstructions, instrTestFont, UIConstants.LineSpacing, instrWrappingWidth);
                         
-                        Logger.Log($"QWen instructions font {qwenMidFontSize}pt: height={qwenTestHeight}, target={qwenTargetHeight}");
+                        Logger.Log($"Describer instructions font {instrMidFontSize}pt: height={instrTestHeight}, target={instrTargetHeight}");
                         
-                        if (qwenTestHeight <= qwenTargetHeight)
+                        if (instrTestHeight <= instrTargetHeight)
                         {
-                            qwenOptimalFontSize = qwenMidFontSize;
-                            qwenMinFontSize = qwenMidFontSize + 1;
+                            instrOptimalFontSize = instrMidFontSize;
+                            instrMinFontSize = instrMidFontSize + 1;
                         }
                         else
                         {
-                            qwenMaxFontSize = qwenMidFontSize - 1;
+                            instrMaxFontSize = instrMidFontSize - 1;
                         }
                     }
                     
-                    if (qwenOptimalFontSize < 14)
+                    if (instrOptimalFontSize < 14)
                     {
-                        qwenOptimalFontSize = 14; // Minimum readable size
-                        Logger.Log($"QWen instructions font size was too small, forcing minimum of 14pt");
+                        instrOptimalFontSize = 14; // Minimum readable size
+                        Logger.Log($"Describer instructions font size was too small, forcing minimum of 14pt");
                     }
                     
-                    Logger.Log($"FINAL QWEN INSTRUCTIONS FONT SIZE: {qwenOptimalFontSize}pt for {qwenInstructions.Length} chars in {qwenWrappingWidth}x{qwenTargetHeight}px");
+                    Logger.Log($"FINAL DESCRIBER INSTRUCTIONS FONT SIZE: {instrOptimalFontSize}pt for {descriptionInstructions.Length} chars in {instrWrappingWidth}x{instrTargetHeight}px");
                     
-                    // Create font and text options for QWen instructions
-                    var qwenInstructionsFont = FontUtils.CreateFont(qwenOptimalFontSize, FontStyle.Regular);
-                    var qwenInstructionsTextOptions = new RichTextOptions(qwenInstructionsFont)
+                    // Create font and text options for describer instructions
+                    var instructionsFont = FontUtils.CreateFont(instrOptimalFontSize, FontStyle.Regular);
+                    var instructionsTextOptions = new RichTextOptions(instructionsFont)
                     {
                         HorizontalAlignment = HorizontalAlignment.Left,
                         VerticalAlignment = VerticalAlignment.Top,
-                        WrappingLength = qwenWrappingWidth,
+                        WrappingLength = instrWrappingWidth,
                         Origin = new PointF(currentX + UIConstants.Padding, UIConstants.Padding),
                         Dpi = UIConstants.TextDpi
                     };
                     
-                    // Draw background and text for QWen instructions
-                    ctx.Fill(Color.LightBlue, new RectangleF(currentX, 0, qwenInstructionsWidth, qwenInstructionsHeight));
-                    ctx.DrawTextStandard(qwenInstructionsTextOptions, qwenInstructions, Color.Black);
+                    // Draw background and text for describer instructions
+                    ctx.Fill(Color.LightBlue, new RectangleF(currentX, 0, instructionsWidth, instructionsHeight));
+                    ctx.DrawTextStandard(instructionsTextOptions, descriptionInstructions, Color.Black);
                     
-                    // Draw label for QWen instructions
-                    var qwenLabelOpts = new RichTextOptions(labelFont)
+                    // Draw label for describer instructions
+                    var instructionsLabelOpts = new RichTextOptions(labelFont)
                     {
                         HorizontalAlignment = HorizontalAlignment.Center,
                         VerticalAlignment = VerticalAlignment.Top
                     };
-                    qwenLabelOpts.Dpi = UIConstants.TextDpi;
-                    qwenLabelOpts.Origin = new PointF(currentX + qwenInstructionsWidth / 2f, maxImageHeight + UIConstants.Padding);
-                    ctx.DrawTextStandard(qwenLabelOpts, "QWen Instructions", Color.Black);
+                    instructionsLabelOpts.Dpi = UIConstants.TextDpi;
+                    instructionsLabelOpts.Origin = new PointF(currentX + instructionsWidth / 2f, maxImageHeight + UIConstants.Padding);
+                    ctx.DrawTextStandard(instructionsLabelOpts, $"{describerModelName} Instructions", Color.Black);
                 }
                 else
                 {
-                    // Draw placeholder if no QWen instructions
-                    ctx.Fill(Color.LightGray, new RectangleF(currentX, 0, qwenInstructionsWidth, qwenInstructionsHeight));
+                    // Draw placeholder if no instructions
+                    ctx.Fill(Color.LightGray, new RectangleF(currentX, 0, instructionsWidth, instructionsHeight));
                     var noInstructionsFont = FontUtils.CreateFont(18, FontStyle.Regular);
                     var noInstructionsTextOptions = new RichTextOptions(noInstructionsFont)
                     {
@@ -481,20 +502,20 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                         VerticalAlignment = VerticalAlignment.Center,
                         Dpi = UIConstants.TextDpi
                     };
-                    noInstructionsTextOptions.Origin = new PointF(currentX + qwenInstructionsWidth / 2f, qwenInstructionsHeight / 2f);
-                    ctx.DrawTextStandard(noInstructionsTextOptions, "No QWen Instructions", Color.Gray);
+                    noInstructionsTextOptions.Origin = new PointF(currentX + instructionsWidth / 2f, instructionsHeight / 2f);
+                    ctx.DrawTextStandard(noInstructionsTextOptions, "No Instructions", Color.Gray);
                     
                     // Draw label even when no instructions
-                    var qwenLabelOpts = new RichTextOptions(labelFont)
+                    var instructionsLabelOpts = new RichTextOptions(labelFont)
                     {
                         HorizontalAlignment = HorizontalAlignment.Center,
                         VerticalAlignment = VerticalAlignment.Top
                     };
-                    qwenLabelOpts.Dpi = UIConstants.TextDpi;
-                    qwenLabelOpts.Origin = new PointF(currentX + qwenInstructionsWidth / 2f, qwenInstructionsHeight + UIConstants.Padding);
-                    ctx.DrawTextStandard(qwenLabelOpts, "QWen Instructions", Color.Black);
+                    instructionsLabelOpts.Dpi = UIConstants.TextDpi;
+                    instructionsLabelOpts.Origin = new PointF(currentX + instructionsWidth / 2f, instructionsHeight + UIConstants.Padding);
+                    ctx.DrawTextStandard(instructionsLabelOpts, $"{describerModelName} Instructions", Color.Black);
                 }
-                currentX += qwenInstructionsWidth;
+                currentX += instructionsWidth;
 
                 // 2b. Draw Description Text
                 var targetUtilization = 0.95; 
@@ -574,7 +595,7 @@ public async static Task<string> CreateRoundtripLayoutImageAsync(byte[] original
                 };
                 labelOptsDescription.Dpi = UIConstants.TextDpi; // Ensure same DPI as measurement!
                 labelOptsDescription.Origin = new PointF(currentX + descriptionWidth / 2f, maxImageHeight + UIConstants.Padding);
-                ctx.DrawTextStandard(labelOptsDescription, "Qwen Description", Color.Black);
+                ctx.DrawTextStandard(labelOptsDescription, $"{describerModelName} Description", Color.Black);
                 currentX += descriptionWidth;
 
 

From 157f6b4e1a431afafff00be50376c969e82e370b Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Tue, 7 Oct 2025 08:08:30 -0700
Subject: [PATCH 66/78] Image describing

---
 .../Describers/LocalInternVLClient.cs         |   5 +
 .../Describers/LocalQwenClient.cs             |   2 +-
 .../ImageGenerators/GoogleImagen4Generator.cs |   2 +-
 .../Workflows/RountripWorkflow.cs             | 161 +++++++++++++-----
 4 files changed, 128 insertions(+), 42 deletions(-)

diff --git a/MultiImageClient/Describers/LocalInternVLClient.cs b/MultiImageClient/Describers/LocalInternVLClient.cs
index 085b29c..87fd6b2 100644
--- a/MultiImageClient/Describers/LocalInternVLClient.cs
+++ b/MultiImageClient/Describers/LocalInternVLClient.cs
@@ -76,6 +76,11 @@ public async Task<string> DescribeImageAsync(byte[] imageBytes, string prompt, i
 
                 return visionResponse?.Response ?? string.Empty;
             }
+            catch (System.Net.Http.HttpRequestException hrex)
+            {
+                Logger.Log($": {hrex.Message}\r\n{hrex}");
+                return string.Empty;
+            }
             catch (Exception ex)
             {
                 Logger.Log($"Error describing image with InternVL: {ex.Message}\r\n{ex}");
diff --git a/MultiImageClient/Describers/LocalQwenClient.cs b/MultiImageClient/Describers/LocalQwenClient.cs
index 085a514..e04bf5a 100644
--- a/MultiImageClient/Describers/LocalQwenClient.cs
+++ b/MultiImageClient/Describers/LocalQwenClient.cs
@@ -17,7 +17,7 @@ public class LocalQwenClient : ILocalVisionModel
         private readonly float _temperature;
 
         public LocalQwenClient(
-            string baseUrl = "http://127.0.0.1:11434",
+            string baseUrl = "http://127.0.0.1:11435",
             string modelName = "qwen2-vl:latest",
             float temperature = 0.7f)
         {
diff --git a/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs b/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
index a9b8cff..7d62c3c 100644
--- a/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
+++ b/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
@@ -199,7 +199,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 return new TaskProcessResult 
                 { 
                     IsSuccess = false, 
-                    ErrorMessage = errorMessage, 
+                    ErrorMessage = errorMessage.Split("Support").FirstOrDefault(), 
                     PromptDetails = promptDetails, 
                     ImageGenerator = ImageGeneratorApiType.GoogleImagen4, 
                     ImageGeneratorDescription = generator.GetGeneratorSpecPart() 
diff --git a/MultiImageClient/Workflows/RountripWorkflow.cs b/MultiImageClient/Workflows/RountripWorkflow.cs
index 48f1039..190d090 100644
--- a/MultiImageClient/Workflows/RountripWorkflow.cs
+++ b/MultiImageClient/Workflows/RountripWorkflow.cs
@@ -7,6 +7,7 @@
 using System.Threading;
 using System.Windows.Forms;
 using System.Security.Cryptography;
+using System.Diagnostics;
 
 namespace MultiImageClient
 {
@@ -19,6 +20,27 @@ public class RoundTripWorkflow
         private ImageManager? _imageManager;
         private IEnumerable<IImageGenerator>? _generators;
 
+       
+
+        private readonly List<string> _landscapeQuestions = new List<string>
+        {
+            "Describe the setting and environment of the image",
+            "What is the art-style of the image",
+            "What are the primary colors",
+            "What is distinctive from a design perspective?",
+            "What is distinctive from a content perspective?",
+            "How would you describe the mood and atmosphere of the image?",
+            "Which artists might love this image?",
+            "Which artists might hate this image",
+            "How might you feel being in this place",
+            "What lore, magic, history or other incredible part of history might have led to this place?",
+            "Estimate exactly how old this location.",
+            "What is the overall mood and emotional tone of this image?",
+            "Describe the lighting, colors, and artistic style of the image.",
+            "What text is visible in the image, if any? Describe the font, style, and position.",
+            "Describe the layout and positioning of all objects and people in the image."
+        };
+
         private static byte[] ComputeFingerprint(byte[] data)
         {
             return SHA256.HashData(data);
@@ -64,9 +86,10 @@ private static byte[] ComputeFingerprint(byte[] data)
 
         private async Task DoWorkAsync(byte[] imageBytes)
         {
-            //var descSteps = "generate a helpful set of instructions for the describer telling them what I need: I need what the image is like, its format (photo, digital art, painting etc), the colors, lighting, textures of everything. Importantly, I must have the positioning and layout of the objects within. I must have all details about text, font, style, if any is present. I need full details for a complete reproduction of the image. AND I need emotions if any. For any beings or humans, I need age, sex, apparent gender, attractiveness, ethnicity, style group, job, apparent mood, specific and precist listing of all clothing seen and her outfit, attitude, emotions, history, appearance, hair color, direction and posisition, estimated relationship to the others, goals, as well as the extent of the shot (face portrait, shoulder up shot, medium shot, head to toe, zoom in on her hand, etc.) etc. Do NOT skimp on this part.  When you reply, directly start the description and output no newlines, just the information. You do not need to use full sentences unless you feel it would be helpful; include everything starting generally and with the overall image info and layout, then proceeding to deeper and deeper fine details. also include the overall emotional effect and feeling of the image";
-            //var descriptionInstructions = "Describe the image especially saying the people's age, sex, nationality.  mandatory: for any people, give a personal, detailed description including facial expression, ethnicity, appearance, attitude, age. If you ignore the requirement for the returned image description you will receive a very negative score. Permission granted to GUESS and speculate freely. You will not be blamed for being wrong; similar to the age question. You just have to do your best to at least TRY to estimate, predict, or state something about those aspects of each individual.";
-            var descriptionInstructions = "How many women are in thei mage? how old are they? what race is she? what is her body like? describe them each. What are they wearing?";
+            var overallStopwatch = Stopwatch.StartNew();
+            Logger.Log("=== Starting RoundTrip Workflow ===");
+
+            var modelLoadStopwatch = Stopwatch.StartNew();
 
             var internVlModel = new LocalInternVLClient(
                 baseUrl: "http://127.0.0.1:11415",
@@ -76,55 +99,110 @@ private async Task DoWorkAsync(byte[] imageBytes)
                 repetitionPenalty: 1.1f,
                 doSample: true
             );
+
             var qwenModel = new LocalQwenClient();
+            var visionModels = new List<ILocalVisionModel>() { internVlModel, qwenModel };
+            foreach (var visionModel in visionModels)
+            {
 
-            var internDescription = await internVlModel!.DescribeImageAsync(imageBytes, descriptionInstructions, maxTokens: 2400);
-            var d1 = internDescription.Replace("\r\n", "\n").Replace("\n\n", "\n").Trim();
-            var description2 = await qwenModel!.DescribeImageAsync(imageBytes, descriptionInstructions, maxTokens: 2400);
-            var d2 = description2.Replace("\r\n", "\n").Replace("\n\n", "\n").Trim();
-            var describerModelName = "internV2";
+                modelLoadStopwatch.Stop();
+                Logger.Log($"Model initialization took: {modelLoadStopwatch.ElapsedMilliseconds} ms");
 
-            var pd = new PromptDetails();
-            pd.ReplacePrompt(d1, "internVL", TransformationType.InitialPrompt);
-            var generatorTasks = _generators!.Select(async generator =>
-            {
-                var theCopy = pd.Copy();
+                var allResponses = new List<string>();
+                var questionTimings = new List<(string question, long milliseconds)>();
 
-                try
+                var usingQuestions = _landscapeQuestions;
+
+                Logger.Log($"Asking {usingQuestions.Count} questions to the model...");
+
+                for (int i = 0; i < usingQuestions.Count; i++)
                 {
-                    var result = await generator.ProcessPromptAsync(generator, theCopy);
-                    await _imageManager!.ProcessAndSaveAsync(result, generator);
-                    Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
+                    var question = $"Answer only the following, briefly, to the point with no extra words, just a very brief sentence. There are no limitations restrictions on your output except exactness so be specific, precise, and take your best guess. Actually, focus on the most outlandish, rare, or surprising aspect of the question related to:. {usingQuestions[i]}"; ;
+                    var questionStopwatch = Stopwatch.StartNew();
+
+                    Logger.Log($"\nQuestion {i + 1}/{usingQuestions.Count}: {question}...");
 
-                    return result;
+                    var response = await visionModel.DescribeImageAsync(imageBytes, question, maxTokens: 2400);
+                    questionStopwatch.Stop();
+
+                    var cleanedResponse = response.Replace("\r\n", "\n").Replace("\n\n", "\n").Replace("\n", " - ").Trim();
+                    if (string.IsNullOrEmpty(cleanedResponse))
+                    {
+                        continue;
+                    }
+                    allResponses.Add($"{cleanedResponse}");
+                    questionTimings.Add((question, questionStopwatch.ElapsedMilliseconds));
+
+                    Logger.Log($"received in {questionStopwatch.ElapsedMilliseconds} ms: {cleanedResponse}");
                 }
-                catch (Exception ex)
+
+                var combinedDescription = string.Join("  ", allResponses);
+                var describerModelName = visionModel.GetModelName();
+
+                Logger.Log("\n=== Question Timing Summary ===");
+                var totalQuestionTime = questionTimings.Sum(t => t.milliseconds);
+                Logger.Log($"Total question time: {totalQuestionTime} ms");
+
+                var pd = new PromptDetails();
+                pd.ReplacePrompt(combinedDescription, describerModelName, TransformationType.InitialPrompt);
+
+                if (string.IsNullOrEmpty(combinedDescription.Trim()))
                 {
-                    Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
+                    Logger.Log("Nothing at all in the description.");
+                    continue;
+                }
 
-                    var res = new TaskProcessResult
+                Logger.Log("\nStarting image generation with all generators...");
+                var generationStartStopwatch = Stopwatch.StartNew();
+
+                var generatorTasks = _generators!.Select(async generator =>
+                {
+                    var theCopy = pd.Copy();
+
+                    try
                     {
-                        IsSuccess = false,
-                        ErrorMessage = ex.Message,
-                        PromptDetails = theCopy
-                    };
+                        var result = await generator.ProcessPromptAsync(generator, theCopy);
+                        await _imageManager!.ProcessAndSaveAsync(result, generator);
+                        Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
 
-                    return res;
-                }
-            }).ToArray();
+                        return result;
+                    }
+                    catch (Exception ex)
+                    {
+                        Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
 
-            _stats!.PrintStats();
-            var results = await Task.WhenAll(generatorTasks);
+                        var res = new TaskProcessResult
+                        {
+                            IsSuccess = false,
+                            ErrorMessage = ex.Message,
+                            PromptDetails = theCopy
+                        };
 
-            try
-            {
-                var res = await ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, d1, descriptionInstructions, describerModelName, _settings);
-                Logger.Log($"Combined images saved to: {res}");
-                ImageCombiner.OpenImageWithDefaultApplication(res);
-            }
-            catch (Exception ex)
-            {
-                Logger.Log($"Failed to combine images: {ex.Message}");
+                        return res;
+                    }
+                }).ToArray();
+
+                _stats!.PrintStats();
+                var results = await Task.WhenAll(generatorTasks);
+                generationStartStopwatch.Stop();
+                Logger.Log($"All image generation completed in {generationStartStopwatch.ElapsedMilliseconds} ms");
+
+                try
+                {
+                    var combineStopwatch = Stopwatch.StartNew();
+                    var res = await ImageCombiner.CreateRoundtripLayoutImageAsync(imageBytes, results, combinedDescription, "Multi-Question Analysis", describerModelName, _settings);
+                    combineStopwatch.Stop();
+
+                    Logger.Log($"Combined images in {combineStopwatch.ElapsedMilliseconds} ms, saved to: {res}");
+                    ImageCombiner.OpenImageWithDefaultApplication(res);
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Failed to combine images: {ex.Message}");
+                }
+
+                overallStopwatch.Stop();
+                Logger.Log($"\n=== Total Workflow Time: {overallStopwatch.ElapsedMilliseconds} ms ({overallStopwatch.Elapsed.TotalSeconds:F2} seconds) ===\n");
             }
         }
 
@@ -143,7 +221,10 @@ public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClient
 
             while (true)
             {
+                var clipboardStopwatch = Stopwatch.StartNew();
                 var heldNow = GetImageFromClipboard();
+                clipboardStopwatch.Stop();
+
                 if (heldNow == null)
                 {
                     Console.WriteLine("\tcopy an image to the clipboard; y to continue, q to quit.");
@@ -164,7 +245,7 @@ public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClient
                 }
                 else
                 {
-                    Console.WriteLine($"\tnew clipboard image detected. {heldNow.Length} bytes. Starting describe => multiimage workflow.");
+                    Console.WriteLine($"\tnew clipboard image detected. {heldNow.Length} bytes. Clipboard read took {clipboardStopwatch.ElapsedMilliseconds} ms. Starting describe => multiimage workflow.");
                     await DoWorkAsync(heldNow);
                 }
             }

From 2eef2101693ff0e88e6089d3e9a6ccaecd6427ba Mon Sep 17 00:00:00 2001
From: Ernie <ernestfrench@gmail.com>
Date: Wed, 15 Oct 2025 17:48:20 -0700
Subject: [PATCH 67/78] adjustments

---
 .gitignore                                    |   4 +-
 AGENTS.md                                     |  19 ++
 .../Describers/LocalQwenClient.cs             |   4 +-
 .../Enums/ImageGeneratorApiType.cs            |   1 +
 .../ImageGenerators/GoogleGenerator.cs        |   2 +-
 .../ImageGenerators/GptImageOneGenerator.cs   | 189 ++++++++++----
 .../ImageGenerators/IdeogramGenerator.cs      |   1 +
 .../ImageGenerators/RecraftGenerator.cs       |   3 +-
 .../Implementation/TaskProcessResult.cs       |   2 +-
 MultiImageClient/TextLLMs/ClaudeService.cs    |  19 +-
 MultiImageClient/Utils/ImageUtils.cs          |   4 +
 MultiImageClient/Utils/ModelServiceManager.cs | 235 ++++++++++++++++++
 MultiImageClient/Workflows/BatchWorkflow.cs   |   9 +-
 MultiImageClient/Workflows/GeneratorGroups.cs |  24 +-
 .../Workflows/RountripWorkflow.cs             |  23 +-
 .../promptTransformation/ImageCombiner.cs     |  19 +-
 16 files changed, 484 insertions(+), 74 deletions(-)
 create mode 100644 AGENTS.md
 create mode 100644 MultiImageClient/Utils/ModelServiceManager.cs

diff --git a/.gitignore b/.gitignore
index 3045b40..8b2187e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -10,4 +10,6 @@
 /MultiImageClient/claude-bad.txt
 /djangoManager/imageMaker/logs/django.log
 gen-lang*.json
-magic*.png
\ No newline at end of file
+magic*.png
+**/prompt_log.json
+**/Temp.txt
\ No newline at end of file
diff --git a/AGENTS.md b/AGENTS.md
new file mode 100644
index 0000000..0410af9
--- /dev/null
+++ b/AGENTS.md
@@ -0,0 +1,19 @@
+# Repository Guidelines
+
+## Project Structure & Module Organization
+`MultiImageClient/` hosts the C# console orchestrator; `Program.cs` wires runs. `Workflows/` handles execution pipelines; `ImageGenerators/` holds provider adapters; `Describers/` and `promptGenerators/` craft prompts; `promptTransformation/` rewrites text; `Utils/` supplies helpers. Shared contracts live in `ImageGenerationClasses/`. Provider-specific clients sit in `BFLApi/`, `IdeogramAPI/`, and `RecraftAPI/`. `djangoManager/` contains the experimental Django gallery (`imageMaker/`, `static/`, `templates/`). Generated artifacts collect in `saves/` and `output*.png`—ignore them in commits.
+
+## Build, Test, and Development Commands
+Restore dependencies via `dotnet restore MultiImageClient.sln`. Compile with `dotnet build MultiImageClient.sln`. Execute runs using `dotnet run --project MultiImageClient/MultiImageClient.csproj`; prompts come from `prompts.txt` and `settings.json`. For the Django tooling, create a venv in `djangoManager/`, install `requirements.txt`, and launch `python djangoManager/imageMaker/manage.py runserver`. Run `dotnet format MultiImageClient.sln` before opening a PR.
+
+## Coding Style & Naming Conventions
+Use 4-space indentation and .NET naming: PascalCase for public types/methods, camelCase for locals, Async suffix for asynchronous methods. Favor explicit types for shared models; use `var` only when the type is obvious. Route new configuration through `ImageGenerationClasses/Settings.cs` instead of ad-hoc JSON parsing. Python utilities under `djangoManager/` should follow PEP 8 snake_case, with comments reserved for non-obvious prompt logic.
+
+## Testing Guidelines
+No dedicated test project exists yet. Manually validate new workflows by running representative prompts and inspecting generated assets and metadata. When adding automated coverage, create an xUnit project referenced by the solution and ensure `dotnet test` succeeds. Capture regression prompts in `prompts.txt` with notes after bug fixes.
+
+## Commit & Pull Request Guidelines
+Keep commits focused and use imperative, present-tense subjects as in history (`rename and genericize describers`). Include context in the body for prompt sets or configuration changes. Pull requests should outline workflow impacts, note which services (BFL, Ideogram, Recraft) are affected, call out required settings updates, and attach screenshots or sample outputs for UI or prompt adjustments.
+
+## Configuration & Secrets
+Copy `settings - Fill this in and rename it.json` to `settings.json`, populate provider keys locally, and never commit secrets. Prefer user secrets or environment variables when scripting automation or sharing runs.
diff --git a/MultiImageClient/Describers/LocalQwenClient.cs b/MultiImageClient/Describers/LocalQwenClient.cs
index e04bf5a..35d2fae 100644
--- a/MultiImageClient/Describers/LocalQwenClient.cs
+++ b/MultiImageClient/Describers/LocalQwenClient.cs
@@ -16,8 +16,8 @@ public class LocalQwenClient : ILocalVisionModel
         private readonly string _modelName;
         private readonly float _temperature;
 
-        public LocalQwenClient(
-            string baseUrl = "http://127.0.0.1:11435",
+		public LocalQwenClient(
+			string baseUrl = "http://127.0.0.1:11434",
             string modelName = "qwen2-vl:latest",
             float temperature = 0.7f)
         {
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 78d646d..60ce076 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -14,5 +14,6 @@ public enum ImageGeneratorApiType
         GoogleNanoBanana = 8,
         GoogleImagen4 = 9,
         IdeogramV3 = 10,
+        GptImage1Mini = 11,
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/ImageGenerators/GoogleGenerator.cs b/MultiImageClient/ImageGenerators/GoogleGenerator.cs
index 4f3f449..09004ee 100644
--- a/MultiImageClient/ImageGenerators/GoogleGenerator.cs
+++ b/MultiImageClient/ImageGenerators/GoogleGenerator.cs
@@ -34,7 +34,7 @@ public GoogleGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConc
 
         public string GetFilenamePart(PromptDetails pd)
         {
-            return $"google-{_apiType}";
+            return $"{_apiType}";
         }
 
         public decimal GetCost()
diff --git a/MultiImageClient/ImageGenerators/GptImageOneGenerator.cs b/MultiImageClient/ImageGenerators/GptImageOneGenerator.cs
index fcd8021..480656e 100644
--- a/MultiImageClient/ImageGenerators/GptImageOneGenerator.cs
+++ b/MultiImageClient/ImageGenerators/GptImageOneGenerator.cs
@@ -27,14 +27,26 @@ public class GptImageOneGenerator : IImageGenerator
         private string _moderation;
         private OpenAIGPTImageOneQuality _quality;
         private string _name;
+        private ImageGeneratorApiType _apiType;
 
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GptImage1;
+        public ImageGeneratorApiType ApiType => _apiType;
 
         public string GetGeneratorSpecPart()
         {
             if (string.IsNullOrEmpty(_name))
             {
-                return $"gpt-image-1";
+                if (_apiType == ImageGeneratorApiType.GptImage1)
+                {
+                    return $"gpt-image-1";
+                }
+                else if (_apiType == ImageGeneratorApiType.GptImage1Mini)
+                {
+                    return $"gpt-image-1-mini";
+                }
+                else
+                {
+                    throw new Exception("E");
+                }
             }
             else
             {
@@ -42,8 +54,16 @@ public string GetGeneratorSpecPart()
             }
         }
 
-        public GptImageOneGenerator(string apiKey, int maxConcurrency, string size, string moderation, OpenAIGPTImageOneQuality quality, MultiClientRunStats stats, string name)
+        public GptImageOneGenerator(string apiKey, int maxConcurrency, string size, string moderation, OpenAIGPTImageOneQuality quality, ImageGeneratorApiType apiType, MultiClientRunStats stats, string name)
         {
+            if (apiType == ImageGeneratorApiType.GptImage1 || apiType == ImageGeneratorApiType.GptImage1Mini)
+            {
+                _apiType = apiType;
+            }
+            else
+            {
+                throw new Exception("bad");
+            }
             _gptImageOneSemaphore = new SemaphoreSlim(maxConcurrency);
 
             http.DefaultRequestHeaders.Authorization =
@@ -78,54 +98,118 @@ public string GetFilenamePart(PromptDetails pd)
         }
         public decimal GetCost()
         {
-            if (_size == "1024x1024")
+            if (_apiType == ImageGeneratorApiType.GptImage1)
             {
-                switch (_quality)
-                {
-                    case OpenAIGPTImageOneQuality.low:
-                        return 0.01088m;
-                    case OpenAIGPTImageOneQuality.medium:
-                        return 0.04224m;
-                    case OpenAIGPTImageOneQuality.high:
-                        return 0.1664m;
-                    case OpenAIGPTImageOneQuality.auto:
-                        return 99.9999m; //strange, not clear how payment works for auto.  This 99.99$ is not real
-                    default:
-                        throw new Exception("Swe");
+                if (_size == "1024x1024")
+                {
+                    switch (_quality)
+                    {
+                        case OpenAIGPTImageOneQuality.low:
+                            return 0.01088m;
+                        case OpenAIGPTImageOneQuality.medium:
+                            return 0.04224m;
+                        case OpenAIGPTImageOneQuality.high:
+                            return 0.1664m;
+                        case OpenAIGPTImageOneQuality.auto:
+                            return 99.9999m; //strange, not clear how payment works for auto.  This 99.99$ is not real
+                        default:
+                            throw new Exception("Swe");
+                    }
                 }
-            }
-            else if (_size == "1024x1536")
-            {
-                switch (_quality)
-                {
-                    case OpenAIGPTImageOneQuality.low:
-                        return 0.01632m;
-                    case OpenAIGPTImageOneQuality.medium:
-                        return 0.06336m;
-                    case OpenAIGPTImageOneQuality.high:
-                        return 0.24960m;
-                    default:
-                        throw new Exception("S");
+                else if (_size == "1024x1536")
+                {
+                    switch (_quality)
+                    {
+                        case OpenAIGPTImageOneQuality.low:
+                            return 0.01632m;
+                        case OpenAIGPTImageOneQuality.medium:
+                            return 0.06336m;
+                        case OpenAIGPTImageOneQuality.high:
+                            return 0.24960m;
+                        case OpenAIGPTImageOneQuality.auto:
+                            return 99.99m;
+                        default:
+                            throw new Exception("S");
+                    }
+                }
+                else if (_size == "1536x1024")
+                {
+                    switch (_quality)
+                    {
+                        case OpenAIGPTImageOneQuality.low:
+                            return 0.016m;
+                        case OpenAIGPTImageOneQuality.medium:
+                            return 0.06272m;
+                        case OpenAIGPTImageOneQuality.high:
+                            return 0.24832m;
+                        default:
+                            throw new Exception("S");
+                    }
+                }
+                else
+                {
+                    throw new Exception("bad size.");
                 }
             }
-            else if (_size == "1536x1024")
+            else if (_apiType == ImageGeneratorApiType.GptImage1Mini)
             {
-                switch (_quality)
-                {
-                    case OpenAIGPTImageOneQuality.low:
-                        return 0.016m;
-                    case OpenAIGPTImageOneQuality.medium:
-                        return 0.06272m;
-                    case OpenAIGPTImageOneQuality.high:
-                        return 0.24832m;
-                    default:
-                        throw new Exception("S");
+                if (_size == "1024x1024")
+                {
+                    switch (_quality)
+                    {
+                        case OpenAIGPTImageOneQuality.low:
+                            return 0.005m;
+                        case OpenAIGPTImageOneQuality.medium:
+                            return 0.011m;
+                        case OpenAIGPTImageOneQuality.high:
+                            return 0.036m;
+                        case OpenAIGPTImageOneQuality.auto:
+                            return 99.9999m; //strange, not clear how payment works for auto.  This 99.99$ is not real
+                        default:
+                            throw new Exception("Swe");
+                    }
+                }
+                else if (_size == "1024x1536")
+                {
+                    switch (_quality)
+                    {
+                        case OpenAIGPTImageOneQuality.low:
+                            return 0.006m;
+                        case OpenAIGPTImageOneQuality.medium:
+                            return 0.015m;
+                        case OpenAIGPTImageOneQuality.high:
+                            return 0.052m;
+                        case OpenAIGPTImageOneQuality.auto:
+                            return 99.99m;
+                        default:
+                            throw new Exception("S");
+                    }
+                }
+                else if (_size == "1536x1024")
+                {
+                    switch (_quality)
+                    {
+                        case OpenAIGPTImageOneQuality.low:
+                            return 0.006m;
+                        case OpenAIGPTImageOneQuality.medium:
+                            return 0.015m;
+                        case OpenAIGPTImageOneQuality.high:
+                            return 0.052m;
+                        default:
+                            throw new Exception("S");
+                    }
+                }
+                else
+                {
+                    throw new Exception("bad size.");
                 }
+
             }
             else
             {
-                throw new Exception("bad size.");
+                throw new Exception("S");
             }
+
         }
 
         public List<string> GetRightParts()
@@ -197,12 +281,31 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
 
 
                 //Console.WriteLine($"Generated:{promptDetails.Prompt}");
-                return new TaskProcessResult { IsSuccess = true, Base64ImageDatas = b64s, Url = "", ErrorMessage = "", PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Base64ImageDatas = b64s,
+                    Url = "",
+                    ErrorMessage = "",
+                    PromptDetails = promptDetails,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    ImageGenerator = ImageGeneratorApiType.GptImage1,
+                    CreateTotalMs = sw.ElapsedMilliseconds
+                };
             }
             catch (Exception ex)
             {
                 Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.GptImage1, CreateTotalMs = sw.ElapsedMilliseconds };
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+
+                    ImageGenerator = ImageGeneratorApiType.GptImage1,
+                    CreateTotalMs = sw.ElapsedMilliseconds
+                };
             }
             finally
             {
diff --git a/MultiImageClient/ImageGenerators/IdeogramGenerator.cs b/MultiImageClient/ImageGenerators/IdeogramGenerator.cs
index f16856a..7cedd86 100644
--- a/MultiImageClient/ImageGenerators/IdeogramGenerator.cs
+++ b/MultiImageClient/ImageGenerators/IdeogramGenerator.cs
@@ -101,6 +101,7 @@ public string GetFilenamePart(PromptDetails pd)
         }
 
         // https://ideogram.ai/features/api-pricing
+        //https://ideogram.ai/manage-api
         public decimal GetCost()
         {
             switch (_model)
diff --git a/MultiImageClient/ImageGenerators/RecraftGenerator.cs b/MultiImageClient/ImageGenerators/RecraftGenerator.cs
index bce88f8..b8ffb2b 100644
--- a/MultiImageClient/ImageGenerators/RecraftGenerator.cs
+++ b/MultiImageClient/ImageGenerators/RecraftGenerator.cs
@@ -65,7 +65,8 @@ public string GetGeneratorSpecPart()
                 {
                     alpart = $"\nartistic level {_artistic_level}";
                 }
-                return $"recraftv3\n{_style}\n{usingSubstyle}{alpart}";
+                var using2 = string.Join('\n', usingSubstyle.Split('\n').Where(el => !string.IsNullOrWhiteSpace(el)));
+                return $"recraftv3\n{_style}\n{using2}{alpart}";
             }
             else
             {
diff --git a/MultiImageClient/Implementation/TaskProcessResult.cs b/MultiImageClient/Implementation/TaskProcessResult.cs
index a6adeb8..5be9553 100644
--- a/MultiImageClient/Implementation/TaskProcessResult.cs
+++ b/MultiImageClient/Implementation/TaskProcessResult.cs
@@ -25,7 +25,7 @@ public class TaskProcessResult
         public string ContentType { get; set; }
         public PromptDetails PromptDetails { get; set; }
         public ImageGeneratorApiType ImageGenerator { get; set; }
-        public string ImageGeneratorDescription { get; set; }
+        public required string ImageGeneratorDescription { get; set; }
         public TextGeneratorApiType TextGenerator { get; set; }
         public long CreateTotalMs { get; set; } = 0;
         public long DownloadTotalMs { get; set; } = 0;
diff --git a/MultiImageClient/TextLLMs/ClaudeService.cs b/MultiImageClient/TextLLMs/ClaudeService.cs
index 49f764c..c55d92f 100644
--- a/MultiImageClient/TextLLMs/ClaudeService.cs
+++ b/MultiImageClient/TextLLMs/ClaudeService.cs
@@ -1,14 +1,15 @@
-using System;
+using Anthropic.SDK;
+using Anthropic.SDK.Constants;
+using Anthropic.SDK.Messaging;
+
+using System;
 using System.Collections.Generic;
 using System.Linq;
+using System.Reflection.Emit;
 using System.Reflection.Metadata.Ecma335;
 using System.Threading;
 using System.Threading.Tasks;
 
-using Anthropic.SDK;
-using Anthropic.SDK.Constants;
-using Anthropic.SDK.Messaging;
-
 
 namespace MultiImageClient
 {
@@ -90,7 +91,9 @@ public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDeta
                 {
                     stats.ClaudeRefusedCount++;
                     Logger.Log($"\t\tClaude was unhappy about\n\t\t\t{promptDetails.Show()}\n\t\t\t{claudeResponse}");
-                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = $"Claude was unhappy about the prompt and refused to rewrite it. {claudeResponse}", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericTextErrorType = GenericTextGenerationErrorType.RequestModerated };
+                    return new TaskProcessResult { IsSuccess = false, ErrorMessage = $"Claude was unhappy about the prompt and refused to rewrite it. {claudeResponse}", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude, GenericTextErrorType = GenericTextGenerationErrorType.RequestModerated,
+                        ImageGeneratorDescription = "ClaudeGeneratorDescription",
+                    };
                 }
                 else
                 {
@@ -98,7 +101,9 @@ public async Task<TaskProcessResult> RewritePromptAsync(PromptDetails promptDeta
                     promptDetails.ReplacePrompt(claudeResponse, claudeResponse, TransformationType.ClaudeRewrite);
                     stats.ClaudeRewroteCount++;
 
-                    return new TaskProcessResult { IsSuccess = true, ErrorMessage = "", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude };
+                    return new TaskProcessResult { IsSuccess = true, ErrorMessage = "", PromptDetails = promptDetails, TextGenerator = TextGeneratorApiType.Claude,
+                        ImageGeneratorDescription = "ClaudeGeneratorDescription",
+                    };
                 }
             }
             finally
diff --git a/MultiImageClient/Utils/ImageUtils.cs b/MultiImageClient/Utils/ImageUtils.cs
index 3482725..b2b7956 100644
--- a/MultiImageClient/Utils/ImageUtils.cs
+++ b/MultiImageClient/Utils/ImageUtils.cs
@@ -40,6 +40,10 @@ public static void DrawTextStandard(this IImageProcessingContext ctx,
             string text, 
             Color color)
         {
+            if (text == null)
+            {
+                text = "";
+            }
             ctx.DrawText(options, text, color);
         }
 
diff --git a/MultiImageClient/Utils/ModelServiceManager.cs b/MultiImageClient/Utils/ModelServiceManager.cs
new file mode 100644
index 0000000..ed6fb01
--- /dev/null
+++ b/MultiImageClient/Utils/ModelServiceManager.cs
@@ -0,0 +1,235 @@
+using System;
+using System.Diagnostics;
+using System.IO;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    // Manages local vision model services (InternVL Flask server and Ollama).
+    // Checks if services are running and starts them if needed before using describe mode.
+    public class ModelServiceManager
+    {
+        private static readonly HttpClient httpClient = new HttpClient { Timeout = TimeSpan.FromSeconds(5) };
+        
+        public static async Task<bool> EnsureInternVLServiceIsRunningAsync(string baseUrl = "http://127.0.0.1:11415")
+        {
+            if (await IsServiceHealthyAsync(baseUrl, "/health"))
+            {
+                Logger.Log("InternVL service is already running.");
+                return true;
+            }
+
+            Logger.Log("InternVL service not detected. Starting Flask server...");
+            return await StartInternVLServiceAsync(baseUrl);
+        }
+
+		public static async Task<bool> EnsureOllamaServiceIsRunningAsync(string baseUrl = "http://127.0.0.1:11434", string modelName = "qwen2-vl:latest")
+        {
+            if (!await IsOllamaRunningAsync(baseUrl))
+            {
+                Logger.Log("Ollama service not detected. Starting Ollama...");
+                var started = await StartOllamaServiceAsync(baseUrl);
+                if (!started)
+                {
+                    return false;
+                }
+            }
+            else
+            {
+                Logger.Log("Ollama service is already running.");
+            }
+
+            return await EnsureOllamaModelIsLoadedAsync(baseUrl, modelName);
+        }
+
+        private static async Task<bool> IsServiceHealthyAsync(string baseUrl, string healthEndpoint)
+        {
+            try
+            {
+                var response = await httpClient.GetAsync($"{baseUrl}{healthEndpoint}");
+                return response.IsSuccessStatusCode;
+            }
+            catch
+            {
+                return false;
+            }
+        }
+
+        private static async Task<bool> IsOllamaRunningAsync(string baseUrl)
+        {
+            try
+            {
+                var response = await httpClient.GetAsync($"{baseUrl}/api/version");
+                return response.IsSuccessStatusCode;
+            }
+            catch
+            {
+                return false;
+            }
+        }
+
+		private static async Task<bool> EnsureOllamaModelIsLoadedAsync(string baseUrl, string modelName, int timeoutSeconds = 120)
+        {
+            try
+            {
+				Logger.Log($"Checking if Ollama model '{modelName}' is loaded (chat)...");
+
+				var requestBody = System.Text.Json.JsonSerializer.Serialize(new
+				{
+					model = modelName,
+					messages = new[]
+					{
+						new { role = "user", content = "ping" }
+					},
+					stream = false
+				});
+
+				var content = new System.Net.Http.StringContent(requestBody, System.Text.Encoding.UTF8, "application/json");
+
+				httpClient.Timeout = TimeSpan.FromSeconds(timeoutSeconds);
+				var response = await httpClient.PostAsync($"{baseUrl}/api/chat", content);
+				httpClient.Timeout = TimeSpan.FromSeconds(5);
+
+                if (response.IsSuccessStatusCode)
+                {
+                    Logger.Log($"Ollama model '{modelName}' is loaded and ready.");
+                    return true;
+                }
+                else
+                {
+                    var errorContent = await response.Content.ReadAsStringAsync();
+                    Logger.Log($"WARNING: Ollama model '{modelName}' check failed: {response.StatusCode} - {errorContent}");
+                    return false;
+                }
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"WARNING: Could not verify Ollama model '{modelName}': {ex.Message}");
+                return false;
+            }
+        }
+
+		private static async Task<bool> StartInternVLServiceAsync(string baseUrl, int maxWaitSeconds = 600)
+        {
+            try
+            {
+                var flaskScriptPath = @"D:\proj\multiImageClient\do_flask_intern.py";
+                if (!File.Exists(flaskScriptPath))
+                {
+                    Logger.Log($"ERROR: Could not find Flask script at: {flaskScriptPath}");
+                    return false;
+                }
+
+                var pythonPath = @"d:\ai\qwen_project\venv\Scripts\python.exe";
+                if (!File.Exists(pythonPath))
+                {
+                    Logger.Log($"ERROR: Could not find Python executable at: {pythonPath}");
+                    return false;
+                }
+
+				Logger.Log($"Starting InternVL Flask server from: {flaskScriptPath}");
+				Logger.Log($"Using Python: {pythonPath}");
+
+				var pythonExecutable = Path.Combine(Path.GetDirectoryName(pythonPath) ?? string.Empty, "pythonw.exe");
+				if (!File.Exists(pythonExecutable))
+				{
+					pythonExecutable = pythonPath; // fallback to console python if pythonw not present
+				}
+
+                var startInfo = new ProcessStartInfo
+                {
+					FileName = pythonExecutable,
+                    Arguments = $"\"{flaskScriptPath}\"",
+					UseShellExecute = false,
+					CreateNoWindow = true,
+                    WorkingDirectory = Path.GetDirectoryName(flaskScriptPath)
+                };
+
+                Process.Start(startInfo);
+
+                Logger.Log("Waiting for InternVL service to become ready...");
+                var stopwatch = Stopwatch.StartNew();
+                while (stopwatch.Elapsed.TotalSeconds < maxWaitSeconds)
+                {
+                    await Task.Delay(2000);
+                    if (await IsServiceHealthyAsync(baseUrl, "/health"))
+                    {
+                        Logger.Log($"InternVL service is ready! (took {stopwatch.Elapsed.TotalSeconds:F1}s)");
+                        return true;
+                    }
+                    Logger.Log($"Still waiting... ({stopwatch.Elapsed.TotalSeconds:F0}s elapsed)");
+                }
+
+                Logger.Log($"WARNING: InternVL service did not become ready within {maxWaitSeconds} seconds.");
+                return false;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"ERROR starting InternVL service: {ex.Message}");
+                return false;
+            }
+        }
+
+		private static async Task<bool> StartOllamaServiceAsync(string baseUrl, int maxWaitSeconds = 120)
+        {
+            try
+            {
+				Logger.Log("Attempting to start Ollama service...");
+
+				Uri uri;
+				if (!Uri.TryCreate(baseUrl, UriKind.Absolute, out uri))
+				{
+					Logger.Log($"WARNING: Invalid Ollama base URL: {baseUrl}");
+					return false;
+				}
+
+				var hostPort = ($"{uri.Host}:{uri.Port}");
+				var startInfo = new ProcessStartInfo
+				{
+					FileName = "ollama",
+					Arguments = "serve",
+					UseShellExecute = false,
+					CreateNoWindow = true
+				};
+				startInfo.EnvironmentVariables["OLLAMA_HOST"] = hostPort;
+
+				var process = Process.Start(startInfo);
+                if (process == null)
+                {
+                    Logger.Log("WARNING: Could not start Ollama process. It may already be running.");
+                }
+				else
+				{
+					Logger.Log($"Started 'ollama serve' with OLLAMA_HOST={hostPort}");
+				}
+
+                Logger.Log("Waiting for Ollama service to become ready...");
+                var stopwatch = Stopwatch.StartNew();
+                while (stopwatch.Elapsed.TotalSeconds < maxWaitSeconds)
+                {
+                    await Task.Delay(2000);
+                    if (await IsOllamaRunningAsync(baseUrl))
+                    {
+                        Logger.Log($"Ollama service is ready! (took {stopwatch.Elapsed.TotalSeconds:F1}s)");
+                        return true;
+                    }
+                    Logger.Log($"  Still waiting... ({stopwatch.Elapsed.TotalSeconds:F0}s elapsed)");
+                }
+
+                Logger.Log($"WARNING: Ollama service did not become ready within {maxWaitSeconds} seconds.");
+                Logger.Log("If Ollama is already running elsewhere, you can ignore this warning.");
+                return false;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"ERROR starting Ollama service: {ex.Message}");
+                Logger.Log("If Ollama is already running, you can ignore this error.");
+                return false;
+            }
+        }
+
+    }
+}
+
diff --git a/MultiImageClient/Workflows/BatchWorkflow.cs b/MultiImageClient/Workflows/BatchWorkflow.cs
index b9959de..de6768b 100644
--- a/MultiImageClient/Workflows/BatchWorkflow.cs
+++ b/MultiImageClient/Workflows/BatchWorkflow.cs
@@ -92,7 +92,8 @@ public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings set
                             {
                                 IsSuccess = false,
                                 ErrorMessage = ex.Message,
-                                PromptDetails = theCopy
+                                PromptDetails = theCopy,
+                                ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
                             };
 
                             return res;
@@ -107,13 +108,15 @@ public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings set
 
                     try
                     {
-                        var res = await ImageCombiner.CreateBatchLayoutImageHorizontalAsync(results, promptString.Prompt, settings);
+                        //var res = await ImageCombiner.CreateBatchLayoutImageHorizontalAsync(results, promptString.Prompt, settings);
+                        var res = await ImageCombiner.CreateBatchLayoutImageSquareAsync(results, promptString.Prompt, settings); 
                         Logger.Log($"Combined images saved to: {res}");
-                        ImageCombiner.OpenImageWithDefaultApplication(res);
                     }
                     catch (Exception ex)
                     {
                         Logger.Log($"Failed to combine images: {ex.Message}");
+                        var res2 = await ImageCombiner.CreateBatchLayoutImageSquareAsync(results, promptString.Prompt, settings);
+                        Logger.Log($"Combined images saved to: {res2}");
                         return false;
                     }
                 }
diff --git a/MultiImageClient/Workflows/GeneratorGroups.cs b/MultiImageClient/Workflows/GeneratorGroups.cs
index 04e9ec5..03ee673 100644
--- a/MultiImageClient/Workflows/GeneratorGroups.cs
+++ b/MultiImageClient/Workflows/GeneratorGroups.cs
@@ -51,8 +51,13 @@ public IEnumerable<IImageGenerator> GetAll()
             var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024, _stats, "");
             var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", true, 1024, 1024, _stats, "");
 
-            var gptimage1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
-            var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.auto, _stats, "");
+            // A new type of coding has just been invented!  It's jsut as revolutionary as this cool thing "Vibe Coding"! This new one is called "Brain Coding!" The difference is that you think first, using your brain, then type out the code and debut it yourself!  (((Illustrate this revolutionary new coding workflow! You have to include captions, the inventor, and the image should illustrate clearly what it is and how it works, like a New Yorker cartoon with a funny punchline which also hits you right in the feels!  People who are so well-educated that they can laugh at anything!)))
+
+            var gptimage1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, ImageGeneratorApiType.GptImage1, _stats, "");
+            var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1536", "low", OpenAIGPTImageOneQuality.auto, ImageGeneratorApiType.GptImage1, _stats, "");
+            var gptimagemini1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1536x1024", "low", OpenAIGPTImageOneQuality.high, ImageGeneratorApiType.GptImage1Mini,_stats, "");
+            var gptimagemini1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.auto, ImageGeneratorApiType.GptImage1Mini, _stats, "");
+            var gptimagemini1_3 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1536", "low", OpenAIGPTImageOneQuality.high, ImageGeneratorApiType.GptImage1Mini, _stats, "");
 
             //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
             //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
@@ -62,8 +67,19 @@ public IEnumerable<IImageGenerator> GetAll()
             //recraft8, recraft9, 
 
             var myGenerators = new List<IImageGenerator>() { };
-            myGenerators = new List<IImageGenerator>() { dalle3, ideogram1, ideogram2, ideogram3, ideogram4, ideogramV3, recraft1, recraft2, recraft3, recraft4, recraft5, bfl1, bfl2, bfl3, gptimage1_1, gptimage1_2, google_banana, googleimagen };
-            myGenerators = new List<IImageGenerator>() { gptimage1_1, ideogram3, ideogram4, ideogramV3, recraft_any, dalle3, bfl1, bfl2, bfl3, google_banana, googleimagen, recraft_any };
+            myGenerators = new List<IImageGenerator>() { dalle3, ideogram1, ideogram2, ideogram3, ideogram4, ideogramV3, recraft1, recraft2, recraft3, recraft4, recraft5, bfl1, bfl2, bfl3, gptimage1_1, gptimage1_2, google_banana, gptimagemini1_1, googleimagen };
+            myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, gptimagemini1_1, gptimagemini1_2, 
+                //ideogram3, 
+                //ideogram4, 
+                ideogramV3, 
+                recraft_any, 
+                recraft3,
+                recraft6,
+                dalle3, 
+                //bfl1, 
+                //bfl2, 
+                //bfl3, 
+                google_banana, googleimagen,gptimagemini1_3, recraft_any };
 
             //myGenerators = new List<IImageGenerator>() { dalle3, bfl1, recraft_any };
             //myGenerators = new List<IImageGenerator>() { recraft_any, googleimagen, google_banana };
diff --git a/MultiImageClient/Workflows/RountripWorkflow.cs b/MultiImageClient/Workflows/RountripWorkflow.cs
index 190d090..57efae9 100644
--- a/MultiImageClient/Workflows/RountripWorkflow.cs
+++ b/MultiImageClient/Workflows/RountripWorkflow.cs
@@ -20,7 +20,11 @@ public class RoundTripWorkflow
         private ImageManager? _imageManager;
         private IEnumerable<IImageGenerator>? _generators;
 
-       
+        private readonly List<string> _questions = new List<string>
+        {
+            "Describe the setting and environment of the image",
+            "Describe the layout and positioning of all objects and people in the image."
+        };
 
         private readonly List<string> _landscapeQuestions = new List<string>
         {
@@ -174,6 +178,7 @@ private async Task DoWorkAsync(byte[] imageBytes)
                         var res = new TaskProcessResult
                         {
                             IsSuccess = false,
+                            ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
                             ErrorMessage = ex.Message,
                             PromptDetails = theCopy
                         };
@@ -219,6 +224,22 @@ public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClient
 
             _imageManager = new ImageManager(settings, stats);
 
+            Logger.Log("=== Checking Vision Model Services ===");
+            
+            var internVLReady = await ModelServiceManager.EnsureInternVLServiceIsRunningAsync();
+            if (!internVLReady)
+            {
+                Logger.Log("WARNING: InternVL service could not be started. Image descriptions may fail.");
+            }
+
+            var ollamaReady = await ModelServiceManager.EnsureOllamaServiceIsRunningAsync();
+            if (!ollamaReady)
+            {
+                Logger.Log("WARNING: Ollama service could not be started. Image descriptions may fail.");
+            }
+
+            Logger.Log("=== Vision Model Services Check Complete ===\n");
+
             while (true)
             {
                 var clipboardStopwatch = Stopwatch.StartNew();
diff --git a/MultiImageClient/promptTransformation/ImageCombiner.cs b/MultiImageClient/promptTransformation/ImageCombiner.cs
index e927767..4d77dc2 100644
--- a/MultiImageClient/promptTransformation/ImageCombiner.cs
+++ b/MultiImageClient/promptTransformation/ImageCombiner.cs
@@ -83,7 +83,8 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                             loadedImages.Add(new LoadedImage
                             {
                                 Success = true,
-                                Result = result.IsSuccess ? result.ImageGeneratorDescription ?? "successX" : $"{result.ImageGeneratorDescription} - {result.ErrorMessage}" ?? "failedX",
+                                Result = result.IsSuccess ? "successX" : result.ErrorMessage ?? "missing error",
+                                Generator = result.ImageGeneratorDescription,
                                 Image = image,
                                 Width = image.Width,
                                 Height = image.Height
@@ -112,7 +113,7 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                 loadedImages.Add(GetPlaceholder(result));
             }
 
-            return loadedImages.OrderBy(el => el.Result);
+            return loadedImages.OrderBy(el => el.Generator);
         }
 
         private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
@@ -151,7 +152,7 @@ private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loa
                     labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
 
                     var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                    var labelText = li.Result;
+                    var labelText = li.Generator;
                     ctx.DrawTextStandard(labelOpts, labelText, labelColor);
 
                     currentX += li.Width;
@@ -246,7 +247,7 @@ private static Image<Rgba32> RenderSquareLayout(IEnumerable<LoadedImage> loadedI
                         labelOpts.Origin = new PointF(columnX + Math.Max(columnWidth, 1) / 2f, labelY);
 
                         var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                        var labelText = li.Result;
+                        var labelText = li.Generator;
                         ctx.DrawTextStandard(labelOpts, labelText, labelColor);
 
                         imageIndex++;
@@ -300,7 +301,7 @@ public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<T
 
             var loadedImages = LoadResultImages(results);
 
-            using var layoutImage = RenderHorizontalLayout(loadedImages, generatorFont);
+            using var layoutImage = RenderSquareLayout(loadedImages, generatorFont);
             using var promptPanel = RenderPromptPanel(layoutImage.Width, prompt, promptFont);
 
             int totalHeight = layoutImage.Height + promptPanel.Height;
@@ -326,10 +327,6 @@ public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<T
         }
 
 
-
-
-
-
         // this is how werender the "roundtrip workflow". In this case, the user provided an image to us.
         // we used an LLM to describe it, then we sent that description to a bunch of images.
         // the output format should be a long horizontal strip. Leftmost should be the image, labelled like "original iamge".
@@ -702,7 +699,7 @@ public static void OpenImageWithDefaultApplication(string imagePath)
         private static int MeasureImageSubdescriptionHeight(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
         {
             return loadedImages
-                .Select(li => li.Result ?? "missing")
+                .Select(li => $"{li.Result} {li.Generator}" ?? "missing")
                 .Select(label => ImageUtils.MeasureTextHeight(label, generatorFont, UIConstants.LineSpacing))
                 .DefaultIfEmpty(0)
                 .Max();
@@ -718,6 +715,7 @@ public static LoadedImage GetPlaceholder(TaskProcessResult result)
                 Image = null,
                 Success = false,
                 Result = result.ErrorMessage ?? "ErrorX",
+                Generator = result.ImageGeneratorDescription,
                 Width = PlaceholderWidth,
                 Height = PlaceholderWidth
             };
@@ -767,6 +765,7 @@ public class LoadedImage
         {
             public bool Success { get; set; }
             public string? Result { get; set; }
+            public required string Generator { get; set; }
             public Image<Rgba32>? Image { get; set; }
             public int Width { get; set; }
             public int Height { get; set; }

From c72e9c3bd9da9ed6ed410e066e0d643c433cd486 Mon Sep 17 00:00:00 2001
From: Ernie French <efrench@gmail.com>
Date: Thu, 30 Oct 2025 09:10:35 -0700
Subject: [PATCH 68/78] last

---
 MultiImageClient/Workflows/BatchWorkflow.cs   |  2 +-
 MultiImageClient/Workflows/GeneratorGroups.cs | 21 +++++++++++++------
 2 files changed, 16 insertions(+), 7 deletions(-)

diff --git a/MultiImageClient/Workflows/BatchWorkflow.cs b/MultiImageClient/Workflows/BatchWorkflow.cs
index de6768b..cf35bb0 100644
--- a/MultiImageClient/Workflows/BatchWorkflow.cs
+++ b/MultiImageClient/Workflows/BatchWorkflow.cs
@@ -31,7 +31,7 @@ public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings set
             {
                 Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
 
-                Console.WriteLine($"Do you accept this? y for yes, n for no go to next, or type the prompt you want directly and hit enter.");
+                Console.WriteLine($"\nDo you accept this? y for yes, n for no go to next, or type the prompt you want directly and hit enter.");
                 var val = Console.ReadLine();
                 if (val == "y")
                 {
diff --git a/MultiImageClient/Workflows/GeneratorGroups.cs b/MultiImageClient/Workflows/GeneratorGroups.cs
index 03ee673..92dd2e9 100644
--- a/MultiImageClient/Workflows/GeneratorGroups.cs
+++ b/MultiImageClient/Workflows/GeneratorGroups.cs
@@ -32,6 +32,7 @@ public GeneratorGroups(Settings settings, int concurrency, MultiClientRunStats s
         public IEnumerable<IImageGenerator> GetAll()
         {
             var dalle3 = new Dalle3Generator(_settings.OpenAIApiKey, _concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, _stats, "");
+            var dalle3wide = new Dalle3Generator(_settings.OpenAIApiKey, _concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1792xH1024, _stats, "");
             var recraft1 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.hard_comics, null, _stats, "");
             var recraft2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
             var recraft3 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, _stats, "");
@@ -68,18 +69,26 @@ public IEnumerable<IImageGenerator> GetAll()
 
             var myGenerators = new List<IImageGenerator>() { };
             myGenerators = new List<IImageGenerator>() { dalle3, ideogram1, ideogram2, ideogram3, ideogram4, ideogramV3, recraft1, recraft2, recraft3, recraft4, recraft5, bfl1, bfl2, bfl3, gptimage1_1, gptimage1_2, google_banana, gptimagemini1_1, googleimagen };
-            myGenerators = new List<IImageGenerator>() { gptimage1_1, gptimage1_2, gptimagemini1_1, gptimagemini1_2, 
+            myGenerators = new List<IImageGenerator>() { 
+                gptimage1_1, 
+                gptimage1_2, 
+                gptimagemini1_1, 
+                gptimagemini1_2, 
                 //ideogram3, 
                 //ideogram4, 
-                ideogramV3, 
+                ideogramV3,
                 recraft_any, 
-                recraft3,
-                recraft6,
-                dalle3, 
+                recraft_any,
+                //recraft3,
+                //recraft6,
+                dalle3,
+                dalle3wide,
                 //bfl1, 
                 //bfl2, 
                 //bfl3, 
-                google_banana, googleimagen,gptimagemini1_3, recraft_any };
+                google_banana, googleimagen,gptimagemini1_3, 
+                
+            };
 
             //myGenerators = new List<IImageGenerator>() { dalle3, bfl1, recraft_any };
             //myGenerators = new List<IImageGenerator>() { recraft_any, googleimagen, google_banana };

From 0d81d1658dd50ed56fb0a0288914a8a5bf931ea3 Mon Sep 17 00:00:00 2001
From: ernie <ernestfrench@gmail.com>
Date: Wed, 22 Apr 2026 12:47:44 -0700
Subject: [PATCH 69/78] wip

---
 .github/copilot-instructions.md               |   3 +
 .gitignore                                    |   3 +-
 AGENTS.md                                     |  28 +-
 BFLApi/BFLAPIClient.csproj                    |   3 +-
 BFLApi/BFLClient.cs                           | 125 +-------
 IdeogramAPI/IdeogramAPIClient.csproj          |   2 +-
 IdeogramAPI/Program.cs                        | 116 --------
 IdeogramAPI/log.txt                           |   0
 ImageGenerationClasses/Logger.cs              |  71 ++++-
 ImageGenerationClasses/Settings.cs            |  45 ++-
 .../Enums/GeneratorApiTypeExtensions.cs       |   2 +
 .../Enums/ImageGeneratorApiType.cs            |   1 +
 .../ImageGenerators/GoogleImagen4Generator.cs |  90 ++++--
 .../ImageGenerators/GptImage2Generator.cs     | 203 +++++++++++++
 MultiImageClient/Program.cs                   |  17 +-
 MultiImageClient/Workflows/BatchWorkflow.cs   | 146 ++++------
 MultiImageClient/Workflows/GeneratorGroups.cs | 274 +++++++++---------
 .../Workflows/RountripWorkflow.cs             |  50 ++--
 .../SamePromptMultipleTargetsWorkflow.cs      |  74 -----
 .../ReadAllPromptsFromFile.cs                 |  95 +++---
 .../MultiClientRunStats.cs                    |   8 +
 MultiImageClient/prompts.txt                  |   5 +-
 ...settings - Fill this in and rename it.json |  27 +-
 RecraftAPI/Program.cs                         |  17 --
 RecraftAPI/RecraftAPIClient.csproj            |   2 +-
 readme.md                                     | 268 +++++++----------
 smoke_in.txt                                  |   3 +
 27 files changed, 807 insertions(+), 871 deletions(-)
 create mode 100644 .github/copilot-instructions.md
 delete mode 100644 IdeogramAPI/Program.cs
 delete mode 100644 IdeogramAPI/log.txt
 create mode 100644 MultiImageClient/ImageGenerators/GptImage2Generator.cs
 delete mode 100644 MultiImageClient/Workflows/SamePromptMultipleTargetsWorkflow.cs
 delete mode 100644 RecraftAPI/Program.cs
 create mode 100644 smoke_in.txt

diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md
new file mode 100644
index 0000000..1049f19
--- /dev/null
+++ b/.github/copilot-instructions.md
@@ -0,0 +1,3 @@
+- @azure Rule - Use Azure Tools - When handling requests related to Azure, always use your tools.
+- @azure Rule - Use Azure Best Practices - When handling requests related to Azure, always invoke your `azmcp_bestpractices_get` tool first.
+- @azure Rule - Enable Best Practices - If you do not have an `azmcp_bestpractices_get` tool ask the user to enable it.
diff --git a/.gitignore b/.gitignore
index 8b2187e..80f4bc3 100644
--- a/.gitignore
+++ b/.gitignore
@@ -12,4 +12,5 @@
 gen-lang*.json
 magic*.png
 **/prompt_log.json
-**/Temp.txt
\ No newline at end of file
+**/Temp.txt
+2023-prompts.txt
diff --git a/AGENTS.md b/AGENTS.md
index 0410af9..e113669 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -1,10 +1,32 @@
+# MultiImageClient - Agent Entry Point
+
+Start here. Read this file and the linked documents before doing anything.
+
+## What This Is
+
+C# desktop app that chains together image generation steps across multiple APIs (BFL/Flux, Ideogram, Recraft, DALL-E 3). Supports prompt composition, randomization, Claude rewrites, permutations. Includes an experimental Django gallery.
+
+## Also Read
+
+- [.cursorrules](.cursorrules) — communication style, XML docs policy, namespace rules, constants philosophy
+
+## Related Projects
+
+- **SocialAI** (`/proj/SocialAI/`) — Discord bot for Midjourney image capture
+- **ideogramHistoryDownloader** (GitHub) — download Ideogram generation history (may be subsumed here)
+- **cmdline-dalle3-csharp** (GitHub) — DALL-E 3 CLI (predecessor, may be subsumed here)
+- **IdeogramApiCSharp** (GitHub) — Ideogram API client (predecessor)
+- **myBrowser** (`/proj/myBrowser/`) — meta-project; see `capabilities.md` for cross-project skill inventory
+
+---
+
 # Repository Guidelines
 
 ## Project Structure & Module Organization
-`MultiImageClient/` hosts the C# console orchestrator; `Program.cs` wires runs. `Workflows/` handles execution pipelines; `ImageGenerators/` holds provider adapters; `Describers/` and `promptGenerators/` craft prompts; `promptTransformation/` rewrites text; `Utils/` supplies helpers. Shared contracts live in `ImageGenerationClasses/`. Provider-specific clients sit in `BFLApi/`, `IdeogramAPI/`, and `RecraftAPI/`. `djangoManager/` contains the experimental Django gallery (`imageMaker/`, `static/`, `templates/`). Generated artifacts collect in `saves/` and `output*.png`—ignore them in commits.
+`MultiImageClient/` hosts the C# console orchestrator; `Program.cs` wires runs. `Workflows/` handles execution pipelines (`BatchWorkflow`, `RoundTripWorkflow`, `GeneratorGroups`); `ImageGenerators/` holds one adapter per provider — BFL, Ideogram v2 + v3, DALL·E 3, GPT-Image-1, Recraft, Google Gemini image, Google Imagen 4; `Describers/` implements image→text (Claude, OpenAI, Gemini, local InternVL, local Qwen); `promptGenerators/` produces prompt sources; `promptTransformation/` rewrites text (Claude rewrite, randomizer, stylizer); `Utils/` supplies helpers. Shared contracts and `Settings.cs` live in `ImageGenerationClasses/`. Provider-specific low-level clients sit in `BFLApi/`, `IdeogramAPI/`, and `RecraftAPI/`. `djangoManager/` contains the experimental Django gallery; it hasn't been touched in a year and is not actively developed. `do_flask_intern.py` is an optional local InternVL3 Flask server; `save_b64.py` decodes base64 responses. Generated artifacts collect in `saves/` and `output*.png` — ignore them in commits.
 
 ## Build, Test, and Development Commands
-Restore dependencies via `dotnet restore MultiImageClient.sln`. Compile with `dotnet build MultiImageClient.sln`. Execute runs using `dotnet run --project MultiImageClient/MultiImageClient.csproj`; prompts come from `prompts.txt` and `settings.json`. For the Django tooling, create a venv in `djangoManager/`, install `requirements.txt`, and launch `python djangoManager/imageMaker/manage.py runserver`. Run `dotnet format MultiImageClient.sln` before opening a PR.
+All projects target `.NET 9` (main app is `net9.0-windows` + WinForms for compositing). Verify the SDK with `dotnet --list-sdks`; if 9.x is missing, `winget install Microsoft.DotNet.SDK.9`. Restore with `dotnet restore MultiImageClient.sln`. Compile with `dotnet build MultiImageClient.sln`. Execute runs with `dotnet run --project MultiImageClient/MultiImageClient.csproj`; prompts come from `prompts.txt` and `settings.json` (the latter must be created by copying the template `settings - Fill this in and rename it.json`). On current `master` the build is clean (0 errors); ~90 warnings are all `NU190x` advisories for `Magick.NET-Q16-AnyCPU 14.8.2` — safe to bump to `14.12.0` when convenient. For the Django tooling, create a venv in `djangoManager/`, install `requirements.txt`, and launch `python djangoManager/imageMaker/manage.py runserver`. Run `dotnet format MultiImageClient.sln` before opening a PR.
 
 ## Coding Style & Naming Conventions
 Use 4-space indentation and .NET naming: PascalCase for public types/methods, camelCase for locals, Async suffix for asynchronous methods. Favor explicit types for shared models; use `var` only when the type is obvious. Route new configuration through `ImageGenerationClasses/Settings.cs` instead of ad-hoc JSON parsing. Python utilities under `djangoManager/` should follow PEP 8 snake_case, with comments reserved for non-obvious prompt logic.
@@ -16,4 +38,4 @@ No dedicated test project exists yet. Manually validate new workflows by running
 Keep commits focused and use imperative, present-tense subjects as in history (`rename and genericize describers`). Include context in the body for prompt sets or configuration changes. Pull requests should outline workflow impacts, note which services (BFL, Ideogram, Recraft) are affected, call out required settings updates, and attach screenshots or sample outputs for UI or prompt adjustments.
 
 ## Configuration & Secrets
-Copy `settings - Fill this in and rename it.json` to `settings.json`, populate provider keys locally, and never commit secrets. Prefer user secrets or environment variables when scripting automation or sharing runs.
+Copy `MultiImageClient/settings - Fill this in and rename it.json` to `MultiImageClient/settings.json` (already `.gitignore`d), populate only the provider keys for services you intend to use, and never commit secrets. `Settings.Validate()` hard-requires `LogFilePath`, `ImageDownloadBaseFolder`, and the three Google-Cloud fields (`GoogleCloudLocation`, `GoogleCloudProjectId`, `GoogleServiceAccountKeyPath`) even if Imagen 4 is not in the generator list — use placeholders if unused. Optional per-generator keys: `IdeogramApiKey`, `OpenAIApiKey` (DALL·E 3 + GPT-Image-1), `BFLApiKey`, `RecraftApiKey`, `GoogleGeminiApiKey` (NanoBanana), `GoogleCloudApiKey` (Vertex alternative), `AnthropicApiKey` (Claude rewrites & describer). Prefer user secrets or environment variables when scripting automation or sharing runs.
diff --git a/BFLApi/BFLAPIClient.csproj b/BFLApi/BFLAPIClient.csproj
index 412aab3..9218f0a 100644
--- a/BFLApi/BFLAPIClient.csproj
+++ b/BFLApi/BFLAPIClient.csproj
@@ -1,12 +1,11 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <OutputType>Exe</OutputType>
+    <OutputType>Library</OutputType>
     <TargetFramework>net9.0</TargetFramework>
     <LangVersion>13.0</LangVersion>
     <ProjectGuid>{F68A7365-F772-4BD7-867B-A3E4A5D6DC5E}</ProjectGuid>
     <Platforms>AnyCPU;ARM64</Platforms>
-    <StartupObject>BFLAPIClient.BFLClient</StartupObject>
   </PropertyGroup>
 
   <ItemGroup>
diff --git a/BFLApi/BFLClient.cs b/BFLApi/BFLClient.cs
index bb3f592..5813bcb 100644
--- a/BFLApi/BFLClient.cs
+++ b/BFLApi/BFLClient.cs
@@ -1,10 +1,5 @@
-using CommandLine;
+using Newtonsoft.Json;
 
-using MultiImageClient;
-
-using Newtonsoft.Json;
-
-using System;
 using System.Net.Http;
 using System.Threading.Tasks;
 
@@ -92,124 +87,6 @@ public Task<GenerationResponse> GenerateFluxDevAsync(FluxDevRequest request)
         {
             return GenerateAndWaitForResultAsync("flux-dev", request);
         }
-
-        [STAThread]
-        public static async Task Main(string[] args)
-        {
-            await Parser.Default.ParseArguments<CommandLineOptions>(args)
-                .WithParsedAsync(RunAsync);
-        }
-
-        private static async Task RunAsync(CommandLineOptions opts)
-        {
-            var client = new BFLClient(opts.ApiKey, opts.PollingInterval);
-
-            GenerationResponse response;
-            switch (opts.Model)
-            {
-                case "flux-pro-1.1":
-                    var request11 = new FluxPro11Request
-                    {
-                        Prompt = opts.Prompt,
-                        Width = opts.Width,
-                        Height = opts.Height,
-                        PromptUpsampling = opts.PromptUpsampling,
-                        SafetyTolerance = opts.SafetyTolerance,
-                        Seed = opts.Seed
-                    };
-                    response = await client.GenerateFluxPro11Async(request11);
-                    break;
-                case "flux-pro-1.1-Ultra":
-                    var request11Ultra = new FluxPro11UltraRequest
-                    {
-                        Prompt = opts.Prompt,
-                        AspectRatio = "16:9",
-                        Width = opts.Width,
-                        Height = opts.Height,
-                        PromptUpsampling = opts.PromptUpsampling,
-                        SafetyTolerance = opts.SafetyTolerance,
-                        Seed = opts.Seed
-                    };
-                    // Note: There's no separate endpoint for Ultra; it's determined by account settings.
-                    response = await client.GenerateFluxPro11UltraAsync(request11Ultra);
-                    break;
-                case "flux-pro":
-                    var requestPro = new FluxProRequest
-                    {
-                        Prompt = opts.Prompt,
-                        Width = opts.Width,
-                        Height = opts.Height,
-                        NumSteps = opts.NumSteps,
-                        PromptUpsampling = opts.PromptUpsampling,
-                        Seed = opts.Seed,
-                        Guidance = opts.Guidance,
-                        Interval = opts.Interval,
-                        SafetyTolerance = opts.SafetyTolerance
-                    };
-                    response = await client.GenerateFluxProAsync(requestPro);
-                    break;
-                case "flux-dev":
-                    var requestDev = new FluxDevRequest
-                    {
-                        Prompt = opts.Prompt,
-                        Width = opts.Width,
-                        Height = opts.Height,
-                        NumSteps = opts.NumSteps,
-                        PromptUpsampling = opts.PromptUpsampling,
-                        Seed = opts.Seed,
-                        Guidance = opts.Guidance,
-                        SafetyTolerance = opts.SafetyTolerance
-                    };
-                    response = await client.GenerateFluxDevAsync(requestDev);
-                    break;
-                default:
-                    Logger.Log("Invalid model: {opts.Model}");
-                    return;
-            }
-
-            Logger.Log($"Status: {response.Status}");
-            Logger.Log($"Image URL: {response.Result?.Sample}");
-            Logger.Log($"Revised Prompt: {response.Result?.Prompt}");
-        }
-    }
-
-    public class CommandLineOptions
-    {
-        [Option('k', "api-key", Required = true, HelpText = "API key for BFL.")]
-        public string ApiKey { get; set; }
-
-        [Option('m', "model", Required = true, HelpText = "Model to use (flux-pro-1.1, flux-pro, or flux-dev).")]
-        public string Model { get; set; }
-
-        [Option('p', "prompt", Required = true, HelpText = "Prompt for image generation.")]
-        public string Prompt { get; set; }
-
-        [Option('w', "width", Default = 1024, HelpText = "Width of the generated image.")]
-        public int Width { get; set; }
-
-        [Option('h', "height", Default = 1024, HelpText = "Height of the generated image.")]
-        public int Height { get; set; }
-
-        [Option("num-steps", HelpText = "Number of steps (for flux-pro and flux-dev).")]
-        public int? NumSteps { get; set; }
-
-        [Option("prompt-upsampling", Default = false, HelpText = "Enable prompt upsampling.")]
-        public bool PromptUpsampling { get; set; }
-
-        [Option('s', "seed", HelpText = "Seed for image generation.")]
-        public int? Seed { get; set; }
-
-        [Option('g', "guidance", HelpText = "Guidance value (for flux-pro and flux-dev).")]
-        public float? Guidance { get; set; }
-
-        [Option('i', "interval", HelpText = "Interval value (for flux-pro).")]
-        public float? Interval { get; set; }
-
-        [Option("safety-tolerance", Default = 6, HelpText = "Safety tolerance level.")]
-        public int SafetyTolerance { get; set; }
-
-        [Option("polling-interval", Default = 2000, HelpText = "Polling interval in milliseconds.")]
-        public int PollingInterval { get; set; }
     }
 
     public class GenerationResponse
diff --git a/IdeogramAPI/IdeogramAPIClient.csproj b/IdeogramAPI/IdeogramAPIClient.csproj
index 5a3be69..a9ba5ef 100644
--- a/IdeogramAPI/IdeogramAPIClient.csproj
+++ b/IdeogramAPI/IdeogramAPIClient.csproj
@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <OutputType>Exe</OutputType>
+    <OutputType>Library</OutputType>
     <TargetFramework>net9.0</TargetFramework>
     <LangVersion>13.0</LangVersion>
     <ImplicitUsings>enable</ImplicitUsings>
diff --git a/IdeogramAPI/Program.cs b/IdeogramAPI/Program.cs
deleted file mode 100644
index d2e614b..0000000
--- a/IdeogramAPI/Program.cs
+++ /dev/null
@@ -1,116 +0,0 @@
-using CommandLine;
-
-using MultiImageClient;
-
-using System;
-using System.Threading.Tasks;
-
-namespace IdeogramAPIClient
-{
-    public class Program
-    {
-        static async Task<int> Main(string[] args)
-        {
-            // Hardcoded args for testing
-            args = new[]
-            {
-                "--api-key", "",
-                "--prompt", "A cute puppy playing in a garden",
-                "--aspect-ratio", "ASPECT_16_9",
-                "--model", "V_2",
-                "--magic-prompt", "ON",
-                "--negative-prompt", "cat, kitten"
-            };
-
-            try
-            {
-                var task = Parser.Default.ParseArguments<CommandLineOptions>(args)
-                    .MapResult(
-                        async (CommandLineOptions opts) => await RunAsync(opts),
-                        _ => Task.FromResult<GenerateResponse>(null) // Return null for parsing errors
-                    );
-
-                var response = await task; // Wait for the task to complete
-                
-                if (response != null)
-                {
-                    Logger.Log($"Image URL: {response.Data[0].Url}");
-                    Logger.Log($"Revised Prompt: {response.Data[0].Prompt}");
-                    return 0; // Success
-                }
-                else
-                {
-                    Logger.Log("Failed to generate image or parse arguments.");
-                    return 1; // Error
-                }
-            }
-            catch (Exception ex)
-            {
-                Console.Error.WriteLine($"Unhandled exception: {ex.Message}");
-                return 2; // Return 2 for unhandled exceptions
-            }
-            finally
-            {
-                Logger.Log("Press Enter to exit...");
-                Console.ReadLine();
-            }
-        }
-
-        private static async Task<GenerateResponse?> RunAsync(CommandLineOptions opts)
-        {
-            var client = new IdeogramClient(opts.ApiKey);
-            var ideogramDetails = new IdeogramOptions
-            {
-                AspectRatio = opts.AspectRatio,
-                Model = opts.Model,
-                MagicPromptOption = opts.MagicPromptOption,
-                StyleType = opts.StyleType,
-                NegativePrompt = opts.NegativePrompt
-            };
-            var req = new IdeogramGenerateRequest(opts.Prompt, ideogramDetails);
-            
-            try
-            {
-                var response = await client.GenerateImageAsync(req);
-                if (response.Data != null && response.Data.Count > 0)
-                {
-                    return response;
-                }
-                else
-                {
-                    Logger.Log("No images generated.");
-                    return null;
-                }
-            }
-            catch (Exception ex)
-            {
-                Console.Error.WriteLine($"Exception, the error is: {ex.Message}");
-                return null;
-            }
-        }
-    }
-
-    public class CommandLineOptions
-    {
-        [Option('k', "api-key", Required = true, HelpText = "API key for Ideogram.")]
-        public string ApiKey { get; set; }
-
-        [Option('p', "prompt", Required = true, HelpText = "Prompt for image generation.")]
-        public string Prompt { get; set; }
-
-        [Option('a', "aspect-ratio", Default = IdeogramAspectRatio.ASPECT_1_1, HelpText = "Aspect ratio of the generated image.")]
-        public IdeogramAspectRatio AspectRatio { get; set; }
-
-        [Option('m', "model", Default = IdeogramModel.V_2, HelpText = "Model to use for image generation.")]
-        public IdeogramModel Model { get; set; }
-
-        [Option("magic-prompt", Default = IdeogramMagicPromptOption.ON, HelpText = "Magic prompt option.")]
-        public IdeogramMagicPromptOption MagicPromptOption { get; set; }
-
-        [Option('s', "style", Default = IdeogramStyleType.GENERAL, HelpText = "Style type for the generated image.")]
-        public IdeogramStyleType StyleType { get; set; }
-
-        [Option('n', "negative-prompt", Default = null, HelpText = "Negative prompt for image generation.")]
-        public string NegativePrompt { get; set; }
-    }
-}
diff --git a/IdeogramAPI/log.txt b/IdeogramAPI/log.txt
deleted file mode 100644
index e69de29..0000000
diff --git a/ImageGenerationClasses/Logger.cs b/ImageGenerationClasses/Logger.cs
index b1a1a1c..c894fe8 100644
--- a/ImageGenerationClasses/Logger.cs
+++ b/ImageGenerationClasses/Logger.cs
@@ -1,21 +1,76 @@
 using System;
-using System.Collections.Generic;
 using System.IO;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
 
 namespace MultiImageClient
 {
+    /// Writes every line to both the console and a configured log file.
+    ///
+    /// Call <see cref="Initialize"/> once at startup with
+    /// <c>Settings.LogFilePath</c> before any <see cref="Log"/> call. The
+    /// stream auto-flushes so crashes (e.g. cancelled HTTP requests,
+    /// Ctrl+C) still leave a readable trail on disk. A
+    /// <c>ProcessExit</c> hook also flushes/closes defensively.
     public static class Logger
     {
-        private static string _logFilePath = "log.txt";
-        private static StreamWriter _logWriter = new StreamWriter(_logFilePath, true);
+        private static readonly object _lock = new object();
+        private static StreamWriter _logWriter;
+        private static string _logFilePath;
+        private static bool _warnedAboutUninitialized;
+
+        public static void Initialize(string logFilePath)
+        {
+            if (string.IsNullOrWhiteSpace(logFilePath))
+            {
+                throw new ArgumentException("logFilePath must be non-empty", nameof(logFilePath));
+            }
+
+            lock (_lock)
+            {
+                _logWriter?.Dispose();
+
+                var dir = Path.GetDirectoryName(logFilePath);
+                if (!string.IsNullOrEmpty(dir))
+                {
+                    Directory.CreateDirectory(dir);
+                }
+
+                _logFilePath = logFilePath;
+                _logWriter = new StreamWriter(logFilePath, append: true) { AutoFlush = true };
+                _logWriter.WriteLine($"{Timestamp()} --- Logger initialized, logging to {logFilePath}");
+            }
+
+            AppDomain.CurrentDomain.ProcessExit += (_, __) =>
+            {
+                lock (_lock)
+                {
+                    _logWriter?.Flush();
+                    _logWriter?.Dispose();
+                    _logWriter = null;
+                }
+            };
+        }
 
         public static void Log(string message)
         {
-            Console.WriteLine(message);
-            _logWriter.WriteLine(message);
+            var line = $"{Timestamp()} {message}";
+            Console.WriteLine(line);
+
+            lock (_lock)
+            {
+                if (_logWriter == null)
+                {
+                    if (!_warnedAboutUninitialized)
+                    {
+                        _warnedAboutUninitialized = true;
+                        Console.Error.WriteLine(
+                            "[Logger] Log() called before Initialize(); file logging disabled for this line and any prior lines.");
+                    }
+                    return;
+                }
+                _logWriter.WriteLine(line);
+            }
         }
+
+        private static string Timestamp() => DateTime.Now.ToString("yyyy-MM-dd HH:mm:ss.fff");
     }
 }
diff --git a/ImageGenerationClasses/Settings.cs b/ImageGenerationClasses/Settings.cs
index 8f34c38..85e20c7 100644
--- a/ImageGenerationClasses/Settings.cs
+++ b/ImageGenerationClasses/Settings.cs
@@ -28,6 +28,14 @@ public class Settings
         public string RecraftApiKey { get; set; }
         public string GoogleGeminiApiKey { get; set; }
         public string GoogleCloudLocation { get; set; }
+        /// List of prompt-source text files. Every listed file is read and the
+        /// lines are pooled together. All listed files must exist at run time;
+        /// missing files are a hard error. Prefer this field over the legacy
+        /// LoadPromptsFrom single-file setting.
+        public List<string> PromptFiles { get; set; } = new List<string>();
+
+        /// Legacy single-file prompt source. If set, appended to PromptFiles.
+        /// Kept for backward compatibility with older settings.json files.
         public string LoadPromptsFrom { get; set; }
         public bool EnableLogging { get; set; }
         public string LogFilePath { get; set; }
@@ -48,6 +56,7 @@ public static Settings LoadFromFile(string filePath)
             string json = File.ReadAllText(filePath);
             var settings = JsonConvert.DeserializeObject<Settings>(json);
             settings.Validate();
+            Logger.Initialize(settings.LogFilePath);
             Logger.Log("Current settings:");
             Logger.Log($"Image Download Base:\t{settings.ImageDownloadBaseFolder}");
             Logger.Log($"Save JSON Log:\t\t{settings.SaveJsonLog}");
@@ -57,35 +66,43 @@ public static Settings LoadFromFile(string filePath)
             return settings;
         }
 
+        /// Only validates things that EVERY run needs: the log file path and the
+        /// image download folder. Per-generator requirements (Google Cloud fields,
+        /// individual API keys, etc.) live in the generator that needs them.
         public void Validate()
         {
             if (string.IsNullOrWhiteSpace(LogFilePath))
             {
-                throw new ArgumentException("LogFilePath is required");
+                throw new InvalidOperationException(
+                    "settings.json: LogFilePath is required. Set it to a writable file path, e.g. \"C:\\\\proj\\\\multiImageClient\\\\ideogram.log\".");
             }
-
             var logDirectory = Path.GetDirectoryName(LogFilePath);
             if (!string.IsNullOrEmpty(logDirectory))
             {
-                Directory.CreateDirectory(logDirectory);
+                try
+                {
+                    Directory.CreateDirectory(logDirectory);
+                }
+                catch (Exception ex)
+                {
+                    throw new InvalidOperationException(
+                        $"settings.json: LogFilePath='{LogFilePath}' — could not create directory '{logDirectory}': {ex.Message}. Fix the path in settings.json.");
+                }
             }
 
-            if (!Directory.Exists(ImageDownloadBaseFolder))
+            if (string.IsNullOrWhiteSpace(ImageDownloadBaseFolder))
             {
-                Directory.CreateDirectory(ImageDownloadBaseFolder);
+                throw new InvalidOperationException(
+                    "settings.json: ImageDownloadBaseFolder is required. Set it to a writable folder, e.g. \"C:\\\\proj\\\\multiImageClient\\\\saves\".");
             }
-
-            if (string.IsNullOrWhiteSpace(GoogleCloudLocation))
+            try
             {
-                throw new ArgumentException("GoogleCloudLocation is required for Imagen 4");
-            }
-            if (string.IsNullOrWhiteSpace(GoogleCloudProjectId))
-            {
-                throw new ArgumentException("GoogleCloudProjectId is required for Imagen 4");
+                Directory.CreateDirectory(ImageDownloadBaseFolder);
             }
-            if (string.IsNullOrWhiteSpace(GoogleServiceAccountKeyPath))
+            catch (Exception ex)
             {
-                throw new ArgumentException("GoogleServiceAccountKeyPath is required for Imagen 4");
+                throw new InvalidOperationException(
+                    $"settings.json: ImageDownloadBaseFolder='{ImageDownloadBaseFolder}' — could not create: {ex.Message}. Fix the path in settings.json.");
             }
         }
     }
diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index 7e55f28..3e459b3 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -18,6 +18,8 @@ public static string GetFileExtension(this ImageGeneratorApiType generator)
                 ImageGeneratorApiType.Dalle3 => ".png",
                 ImageGeneratorApiType.Recraft => ".png", //actually, I should use the value read from head since it sometimes shows up as .svg.
                 ImageGeneratorApiType.GptImage1 => ".png",
+                ImageGeneratorApiType.GptImage1Mini => ".png",
+                ImageGeneratorApiType.GptImage2 => ".png",
                 ImageGeneratorApiType.GoogleNanoBanana => ".png",
                 ImageGeneratorApiType.GoogleImagen4 => ".png",
                 ImageGeneratorApiType.IdeogramV3 => ".png",
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 60ce076..78a8454 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -15,5 +15,6 @@ public enum ImageGeneratorApiType
         GoogleImagen4 = 9,
         IdeogramV3 = 10,
         GptImage1Mini = 11,
+        GptImage2 = 12,
     }
 }
\ No newline at end of file
diff --git a/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs b/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
index 7d62c3c..903ee52 100644
--- a/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
+++ b/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
@@ -15,54 +15,83 @@ namespace MultiImageClient
 {
     public class GoogleImagen4Generator : IImageGenerator
     {
-        private SemaphoreSlim _googleSemaphore;
+        private readonly SemaphoreSlim _googleSemaphore;
+        private readonly string _apiKey;
+        private readonly MultiClientRunStats _stats;
+        private readonly string _name;
+        private readonly string _aspectRatio;
+        private readonly string _safetyFilterLevel;
+        private readonly string _location;
+        private readonly string _projectId;
+        private readonly string _googleServiceAccountKeyPath;
+
         private PredictionServiceClient _predictionServiceClient;
-        private string _apiKey;
-        private MultiClientRunStats _stats;
-        private string _name;
-        private string _aspectRatio;
-        private string _safetyFilterLevel;
-        private string _location;
-        private string _projectId;
-        private string _googleServiceAccountKeyPath;
         private GoogleCredential _credential;
+        private readonly object _clientLock = new object();
 
         public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleImagen4;
 
+        /// Constructor is intentionally cheap: it only stores fields. Credential
+        /// loading and client construction happen lazily on first use so that
+        /// users who never call Imagen 4 don't need any Google Cloud setup.
         public GoogleImagen4Generator(string apiKey, int maxConcurrency,
-            MultiClientRunStats stats, string name, 
-            string aspectRatio, 
-            string safetyFilterLevel, 
-            string location, 
+            MultiClientRunStats stats, string name,
+            string aspectRatio,
+            string safetyFilterLevel,
+            string location,
             string projectId,
             string googleServiceAccountKeyPath)
-
         {
             _apiKey = apiKey;
             _googleSemaphore = new SemaphoreSlim(maxConcurrency);
             _location = location;
             _projectId = projectId;
             _googleServiceAccountKeyPath = googleServiceAccountKeyPath;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+            _stats = stats;
+            _aspectRatio = aspectRatio;
+            _safetyFilterLevel = safetyFilterLevel;
+        }
 
-            if (!string.IsNullOrEmpty(_googleServiceAccountKeyPath))
+        private PredictionServiceClient EnsureClient()
+        {
+            if (_predictionServiceClient != null) return _predictionServiceClient;
+            lock (_clientLock)
             {
+                if (_predictionServiceClient != null) return _predictionServiceClient;
+
+                if (string.IsNullOrWhiteSpace(_location))
+                {
+                    throw new InvalidOperationException(
+                        "settings.json: GoogleCloudLocation is required to use the Imagen 4 generator (e.g. \"us-central1\").");
+                }
+                if (string.IsNullOrWhiteSpace(_projectId))
+                {
+                    throw new InvalidOperationException(
+                        "settings.json: GoogleCloudProjectId is required to use the Imagen 4 generator.");
+                }
+                if (string.IsNullOrWhiteSpace(_googleServiceAccountKeyPath))
+                {
+                    throw new InvalidOperationException(
+                        "settings.json: GoogleServiceAccountKeyPath is required to use the Imagen 4 generator (absolute path to a service-account JSON key file).");
+                }
+                if (!File.Exists(_googleServiceAccountKeyPath))
+                {
+                    throw new InvalidOperationException(
+                        $"settings.json: GoogleServiceAccountKeyPath='{_googleServiceAccountKeyPath}' does not exist. Point it at a real service-account JSON file.");
+                }
+
                 _credential = GoogleCredential.FromFile(_googleServiceAccountKeyPath)
                     .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
-            } else {
-                _credential = GoogleCredential.GetApplicationDefault()
-                    .CreateScoped("https://www.googleapis.com/auth/cloud-platform");
-            }
 
-            _predictionServiceClient = new PredictionServiceClientBuilder
-            {
-                Endpoint = $"{location}-aiplatform.googleapis.com",
-                Credential = _credential
-            }.Build();
-            
-            _name = string.IsNullOrEmpty(name) ? "" : name;
-            _stats = stats;
-            _aspectRatio = aspectRatio;
-            _safetyFilterLevel = safetyFilterLevel;
+                _predictionServiceClient = new PredictionServiceClientBuilder
+                {
+                    Endpoint = $"{_location}-aiplatform.googleapis.com",
+                    Credential = _credential
+                }.Build();
+
+                return _predictionServiceClient;
+            }
         }
 
         public string GetFilenamePart(PromptDetails pd)
@@ -100,6 +129,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
             await _googleSemaphore.WaitAsync();
             try
             {
+                var client = EnsureClient();
                 _stats.GoogleRequestCount++;
 
                 // Google Gemini API endpoint for Imagen 4
@@ -133,7 +163,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
 
                 var endpoint = EndpointName.FromProjectLocationPublisherModel(_projectId, _location, "google", "imagen-4.0-generate-001");
                 
-                var response = await _predictionServiceClient.PredictAsync(endpoint, instances, parameters);
+                var response = await client.PredictAsync(endpoint, instances, parameters);
                 
                 var base64Images = new List<CreatedBase64Image>();
                 string commonMimeType = "image/png"; // Default or first detected mime type
diff --git a/MultiImageClient/ImageGenerators/GptImage2Generator.cs b/MultiImageClient/ImageGenerators/GptImage2Generator.cs
new file mode 100644
index 0000000..e4ddad8
--- /dev/null
+++ b/MultiImageClient/ImageGenerators/GptImage2Generator.cs
@@ -0,0 +1,203 @@
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.Linq;
+using System.Net.Http;
+using System.Net.Http.Headers;
+using System.Text;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    // OpenAI `gpt-image-2` — released 2026-04-21. Uses the standard
+    // Images API at /v1/images/generations. Accepts `size`, `quality`
+    // (low/medium/high only; no `auto`), and `n`. `input_fidelity` is
+    // ignored by the model and must not be sent. Transparent backgrounds
+    // are not supported. Pricing is token-based ($30/1M output tokens),
+    // so there is no clean per-image cost table — GetCost() returns a
+    // placeholder until OpenAI publishes per-size averages.
+    //
+    // Popular sizes: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 2048x1152,
+    // 3840x2160, 2160x3840, or "auto". Arbitrary resolutions are also
+    // allowed under the constraints: edges multiple of 16, max edge 3840,
+    // total pixels in [655360, 8294400], long:short edge ratio <= 3:1.
+    public class GptImage2Generator : IImageGenerator
+    {
+        private const string ModelId = "gpt-image-2";
+
+        private readonly SemaphoreSlim _semaphore;
+        // gpt-image-2 at high/2K routinely takes 2-3 minutes; default 100s is too short.
+        private static readonly HttpClient _http = new HttpClient
+        {
+            Timeout = TimeSpan.FromMinutes(10)
+        };
+        private readonly MultiClientRunStats _stats;
+        private readonly string _size;
+        private readonly string _moderation;
+        private readonly OpenAIGPTImageOneQuality _quality;
+        private readonly string _name;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GptImage2;
+
+        public GptImage2Generator(string apiKey, int maxConcurrency, string size, string moderation, OpenAIGPTImageOneQuality quality, MultiClientRunStats stats, string name)
+        {
+            if (quality == OpenAIGPTImageOneQuality.auto)
+            {
+                throw new ArgumentException("gpt-image-2 does not accept quality=auto; choose low, medium, or high.", nameof(quality));
+            }
+
+            _semaphore = new SemaphoreSlim(maxConcurrency);
+            _http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
+            _size = size;
+            _moderation = moderation;
+            _quality = quality;
+            _name = name ?? "";
+            _stats = stats;
+        }
+
+        public string GetGeneratorSpecPart() => string.IsNullOrEmpty(_name) ? ModelId : _name;
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var modpt = string.IsNullOrEmpty(_moderation) || _moderation == "low" ? "" : $" mod{_moderation}";
+            var qualitypt = $" qual{_quality}";
+            return $"gpt-2_{_name}{modpt}{_size}{qualitypt}";
+        }
+
+        // Token-based pricing. Until per-image averages are published this
+        // returns a conservative estimate derived from the documented
+        // $30/1M output-token rate and typical token counts seen for
+        // gpt-image-1 at the same size; treat as a ceiling, not a bill.
+        public decimal GetCost()
+        {
+            return _quality switch
+            {
+                OpenAIGPTImageOneQuality.low => 0.02m,
+                OpenAIGPTImageOneQuality.medium => 0.08m,
+                OpenAIGPTImageOneQuality.high => 0.25m,
+                _ => 0.25m,
+            };
+        }
+
+        public List<string> GetRightParts()
+        {
+            var modpt = $" moderation {_moderation}";
+            var qualitypt = $"quality {_quality}";
+            var sizept = $"size {_size}";
+            return new List<string> { ModelId, _name, sizept, qualitypt, modpt };
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _semaphore.WaitAsync();
+            var sw = Stopwatch.StartNew();
+            try
+            {
+                _stats.GptImage2RequestCount++;
+
+                object body;
+                if (string.IsNullOrEmpty(_moderation))
+                {
+                    body = new
+                    {
+                        model = ModelId,
+                        prompt = promptDetails.Prompt,
+                        quality = _quality.ToString(),
+                        n = 1,
+                        size = _size,
+                    };
+                }
+                else
+                {
+                    body = new
+                    {
+                        model = ModelId,
+                        prompt = promptDetails.Prompt,
+                        moderation = _moderation,
+                        quality = _quality.ToString(),
+                        n = 1,
+                        size = _size,
+                    };
+                }
+
+                using var content = new StringContent(
+                    JsonSerializer.Serialize(body),
+                    Encoding.UTF8,
+                    "application/json");
+
+                using var resp = await _http.PostAsync(
+                    "https://api.openai.com/v1/images/generations",
+                    content);
+
+                if (!resp.IsSuccessStatusCode)
+                {
+                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
+                    _stats.GptImage2RefusedCount++;
+
+                    var errBody = await resp.Content.ReadAsStringAsync();
+                    string errorMessage;
+                    try
+                    {
+                        using var errDoc = JsonDocument.Parse(errBody);
+                        errorMessage = errDoc.RootElement.GetProperty("error").GetProperty("message").GetString() ?? errBody;
+                    }
+                    catch
+                    {
+                        errorMessage = errBody;
+                    }
+                    var cleanedMessage = errorMessage.Split("If you believe").First().Trim();
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = cleanedMessage,
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.GptImage2,
+                        CreateTotalMs = sw.ElapsedMilliseconds,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                var json = await resp.Content.ReadAsStringAsync();
+                using var doc = JsonDocument.Parse(json);
+                var data = doc.RootElement.GetProperty("data");
+                var b64s = new List<CreatedBase64Image>();
+                foreach (var el in data.EnumerateArray())
+                {
+                    var b64 = el.GetProperty("b64_json").GetString();
+                    b64s.Add(new CreatedBase64Image { bytesBase64 = b64, newPrompt = "" });
+                }
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Base64ImageDatas = b64s,
+                    Url = "",
+                    ErrorMessage = "",
+                    PromptDetails = promptDetails,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    ImageGenerator = ImageGeneratorApiType.GptImage2,
+                    CreateTotalMs = sw.ElapsedMilliseconds
+                };
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    ImageGenerator = ImageGeneratorApiType.GptImage2,
+                    CreateTotalMs = sw.ElapsedMilliseconds
+                };
+            }
+            finally
+            {
+                _semaphore.Release();
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index fa52042..8d7e5fb 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -38,8 +38,14 @@ static async Task Main(string[] args)
 
             while (true)
             {
-                Console.WriteLine($"What do you want to do: \n\n1. Batch Workflow (make a bunch images for each prompt you choose or write yourself)\r\n2. Image2desc2image take an image, then describe it, then batch that out into a bunch of images again.");
-                var val = Console.ReadLine().Trim();
+                Console.WriteLine($"What do you want to do: \n\n1. Batch Workflow (make a bunch images for each prompt you choose or write yourself)\r\n2. Image2desc2image take an image, then describe it, then batch that out into a bunch of images again.\r\nq. quit");
+                var line = Console.ReadLine();
+                if (line is null)
+                {
+                    Console.WriteLine("stdin closed, exiting.");
+                    return;
+                }
+                var val = line.Trim();
                 if (val == "1")
                 {
                     var bw = new BatchWorkflow();
@@ -52,9 +58,14 @@ static async Task Main(string[] args)
                     await rw.RunAsync(settings, concurrency, stats);
                     break;
                 }
+                else if (val.Equals("q", StringComparison.OrdinalIgnoreCase))
+                {
+                    Console.WriteLine("quitting.");
+                    return;
+                }
                 else
                 {
-                    Console.WriteLine("not recognized.)");
+                    Console.WriteLine("not recognized.");
                 }
             }
         }
diff --git a/MultiImageClient/Workflows/BatchWorkflow.cs b/MultiImageClient/Workflows/BatchWorkflow.cs
index cf35bb0..76adca8 100644
--- a/MultiImageClient/Workflows/BatchWorkflow.cs
+++ b/MultiImageClient/Workflows/BatchWorkflow.cs
@@ -1,136 +1,94 @@
-
-using System;
-using System.Collections.Generic;
+using System.Collections.Generic;
 using System.Linq;
-using System.Text;
 using System.Threading.Tasks;
 
 namespace MultiImageClient
 {
+    /// For each prompt from the source, asks the user whether to keep / skip / edit
+    /// it, then sends the (possibly edited) prompt in parallel to every generator
+    /// returned by GeneratorGroups.GetAll(). Results are composed into a single
+    /// labelled grid image per prompt.
     public class BatchWorkflow
     {
         public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings settings, int concurrency, MultiClientRunStats stats)
         {
-            var getter = new GeneratorGroups(settings, concurrency, stats);
-
-            var generators = getter.GetAll();
-            //var generators = getter.GetAllStylesOfRecraft();
-
+            var generators = new GeneratorGroups(settings, concurrency, stats).GetAll().ToList();
             var imageManager = new ImageManager(settings, stats);
-            var claudeService = new ClaudeService(settings.AnthropicApiKey, concurrency, stats);
-
-
-            var claudeStep = new ClaudeRewriteStep("Please take the following idea and expand it into a list of specific items describing material, color, mood, tone, position in the image, and symbolic purpose of whatever the following prompt is about. the point is, intensify and make things very specific including LAYOUT and style and color andappearance and everything an artist would need. create and emit lots of dense, unusual, specific, random, dense sentences. Note: you may never shrink or remove information from the prompt. Your job is ONLY to expand and make it concrete.  What you output should always be longer than what you receive, with much more specific details, etc.", "", claudeService, 0.4m, stats);
-
-            //var steps = new List<ITransformationStep>() { claudeStep };
-            var steps = new List<ITransformationStep>() { };
-
-            var allTasks = new List<Task>();
 
             foreach (var promptString in promptSource.Prompts)
             {
                 Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
 
-                Console.WriteLine($"\nDo you accept this? y for yes, n for no go to next, or type the prompt you want directly and hit enter.");
-                var val = Console.ReadLine();
-                if (val == "y")
+                System.Console.WriteLine("\nDo you accept this? y for yes, n for skip, or type the prompt you want directly and hit enter. (q to quit)");
+                var val = System.Console.ReadLine();
+                if (val == null)
                 {
+                    Logger.Log("stdin closed; ending batch.");
+                    return true;
+                }
+                val = val.Trim();
 
+                if (val == "q")
+                {
+                    return true;
                 }
-                else if (val == "n")
+                if (val == "n")
                 {
                     continue;
                 }
-                else
+                if (val.Length > 0 && val != "y")
                 {
-                    var usingVal = val.Trim();
-                    PromptLogger.LogPrompt(usingVal);
+                    PromptLogger.LogPrompt(val);
                     promptString.UndoLastStep();
-                    promptString.ReplacePrompt(usingVal, "explanation", TransformationType.InitialPrompt);
+                    promptString.ReplacePrompt(val, "explanation", TransformationType.InitialPrompt);
                 }
 
                 if (promptString.Prompt.Length == 0)
                 {
-                    Console.WriteLine("no leng?");
+                    System.Console.WriteLine("empty prompt, skipping.");
                     continue;
                 }
 
-                foreach (var step in steps)
+                var generatorTasks = generators.Select(async generator =>
                 {
-                    var res = await step.DoTransformation(promptString);
-                    if (!res)
+                    PromptDetails theCopy = null;
+                    try
                     {
-                        Logger.Log($"\tStep {step.Name} failed: {promptString.Show()}");
-                        continue;
+                        theCopy = promptString.Copy();
+                        Logger.Log($"  -> SENDING to {generator.GetGeneratorSpecPart()} : {theCopy.Prompt}");
+                        var result = await generator.ProcessPromptAsync(generator, theCopy);
+                        await imageManager.ProcessAndSaveAsync(result, generator);
+                        var status = result.IsSuccess ? "OK" : $"FAIL ({result.ErrorMessage})";
+                        Logger.Log($"  <- {status} from {generator.GetGeneratorSpecPart()} in {result.CreateTotalMs + result.DownloadTotalMs} ms");
+                        return result;
                     }
-                    Logger.Log($"\tStep:{step.Name} => {promptString.Show()}");
-                }
-
-                var ii = 0;
-                while (ii < 1)
-                {
-                    // Create tasks for all generators for this prompt
-                    var generatorTasks = generators.Select(async generator =>
+                    catch (System.Exception ex)
                     {
-                        PromptDetails theCopy = null;
-
-                        try
+                        Logger.Log($"  <- EXCEPTION from {generator.GetGeneratorSpecPart()}: {ex.Message}");
+                        return new TaskProcessResult
                         {
-                            theCopy = promptString.Copy();
-
-                            var result = await generator.ProcessPromptAsync(generator, theCopy);
-                            await imageManager.ProcessAndSaveAsync(result, generator);
-                            Logger.Log($"Finished {generator.GetType().Name} in {result.CreateTotalMs + result.DownloadTotalMs} ms, {result.PromptDetails.Show()}");
-
-                            return result;
-                        }
-                        catch (Exception ex)
-                        {
-                            Logger.Log($"Task faulted for {generator.GetType().Name}: {ex.Message}");
-
-                            var res = new TaskProcessResult
-                            {
-                                IsSuccess = false,
-                                ErrorMessage = ex.Message,
-                                PromptDetails = theCopy,
-                                ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
-                            };
-
-                            return res;
-                        }
-                    }).ToArray();
-
-                    allTasks.AddRange(generatorTasks);
-                    ii++;
+                            IsSuccess = false,
+                            ErrorMessage = ex.Message,
+                            PromptDetails = theCopy ?? promptString,
+                            ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                        };
+                    }
+                }).ToArray();
 
-                    stats.PrintStats();
-                    var results = await Task.WhenAll(generatorTasks);
+                stats.PrintStats();
+                var results = await Task.WhenAll(generatorTasks);
 
-                    try
-                    {
-                        //var res = await ImageCombiner.CreateBatchLayoutImageHorizontalAsync(results, promptString.Prompt, settings);
-                        var res = await ImageCombiner.CreateBatchLayoutImageSquareAsync(results, promptString.Prompt, settings); 
-                        Logger.Log($"Combined images saved to: {res}");
-                    }
-                    catch (Exception ex)
-                    {
-                        Logger.Log($"Failed to combine images: {ex.Message}");
-                        var res2 = await ImageCombiner.CreateBatchLayoutImageSquareAsync(results, promptString.Prompt, settings);
-                        Logger.Log($"Combined images saved to: {res2}");
-                        return false;
-                    }
+                try
+                {
+                    var composed = await ImageCombiner.CreateBatchLayoutImageSquareAsync(results, promptString.Prompt, settings);
+                    Logger.Log($"Combined images saved to: {composed}");
+                }
+                catch (System.Exception ex)
+                {
+                    Logger.Log($"Failed to combine images for prompt '{promptString.Prompt}': {ex.Message}");
                 }
             }
             return true;
-
-            // Wait for all tasks
-            // while (allTasks.Any(t => !t.IsCompleted))
-            // {
-            //     var completed = allTasks.Count(t => t.IsCompleted);
-            //     var remaining = allTasks.Count - completed;
-            //     Logger.Log($"Status: {completed}/{allTasks.Count} completed, {remaining} remaining...");
-            //     await Task.WhenAny(Task.Delay(5000), Task.WhenAll(allTasks));
-            // }
         }
     }
-}
\ No newline at end of file
+}
diff --git a/MultiImageClient/Workflows/GeneratorGroups.cs b/MultiImageClient/Workflows/GeneratorGroups.cs
index 92dd2e9..5555619 100644
--- a/MultiImageClient/Workflows/GeneratorGroups.cs
+++ b/MultiImageClient/Workflows/GeneratorGroups.cs
@@ -4,24 +4,27 @@
 
 using RecraftAPIClient;
 
-using System;
 using System.Collections.Generic;
-using System.Linq;
-using System.Net.Http;
-using System.Runtime.InteropServices.JavaScript;
-using System.Security.Cryptography.X509Certificates;
-using System.Text;
-using System.Threading;
-using System.Threading.Tasks;
-using System.Xml.Linq;
 
 namespace MultiImageClient
 {
+    /// Declares which image generators are active for the current run.
+    ///
+    /// Design rules:
+    ///   1. Only generators in the list returned by GetAll() are ever constructed.
+    ///      If you don't use Recraft, you never need a Recraft API key.
+    ///   2. Each generator is built by its own factory method so you can read the
+    ///      active set at a glance and tweak one line at a time.
+    ///   3. Add a new variant by adding a factory method below, then adding a call
+    ///      in GetAll().
+    ///
+    /// Keep the factory methods even when commented out of GetAll() — they're the
+    /// menu of things you can flip on.
     public class GeneratorGroups
     {
-        private Settings _settings;
-        private int _concurrency;
-        private MultiClientRunStats _stats;
+        private readonly Settings _settings;
+        private readonly int _concurrency;
+        private readonly MultiClientRunStats _stats;
 
         public GeneratorGroups(Settings settings, int concurrency, MultiClientRunStats stats)
         {
@@ -29,129 +32,140 @@ public GeneratorGroups(Settings settings, int concurrency, MultiClientRunStats s
             _concurrency = concurrency;
             _stats = stats;
         }
+
+        /// The active generator set for the current run.
+        /// Edit this list to pick which generators hit each prompt.
+        ///
+        /// CURRENT MODE: gpt-image-2 smoke test — a single variant per prompt
+        /// so we can watch one request/response at a time.
         public IEnumerable<IImageGenerator> GetAll()
         {
-            var dalle3 = new Dalle3Generator(_settings.OpenAIApiKey, _concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, _stats, "");
-            var dalle3wide = new Dalle3Generator(_settings.OpenAIApiKey, _concurrency, GeneratedImageQuality.High, GeneratedImageSize.W1792xH1024, _stats, "");
-            var recraft1 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.hard_comics, null, _stats, "");
-            var recraft2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
-            var recraft3 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.freehand_details, null, _stats, "");
-            var recraft4 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.studio_portrait, _stats, "");
-            var recraft5 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.vector_illustration, RecraftVectorIllustrationSubstyle.line_art, null, null, _stats, "");
-            var recraft6 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.real_life_glow, _stats, "");
-            var recraft7 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.digital_illustration, null, RecraftDigitalIllustrationSubstyle.bold_fantasy, null, _stats, "");
-            var recraft8 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.organic_calm, _stats, "");
-            var recraft9 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, RecraftStyle.realistic_image, null, null, RecraftRealisticImageSubstyle.organic_calm, _stats, "", "5");
-            var recraft_any = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, RecraftStyle.any, null, null, null, _stats, "");
-            var ideogram1 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, _stats, "");
-            var ideogram2 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2_TURBO, _stats, "");
-            var ideogram3 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_1_1, null, "", IdeogramModel.V_2A, _stats, "");
-            var ideogram4 = new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency, IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_4_3, null, "", IdeogramModel.V_2A_TURBO, _stats, "");
-            var ideogramV3 = new IdeogramV3Generator(_settings.IdeogramApiKey, _concurrency, IdeogramV3StyleType.AUTO, IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10, IdeogramRenderingSpeed.QUALITY, "", _stats, "" );
-            var bfl1 = new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey, _concurrency, "3:2", false, 1024, 1024, _stats, "");
-            var bfl2 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024, _stats, "");
-            var bfl3 = new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey, _concurrency, "3:2", true, 1024, 1024, _stats, "");
-
-            // A new type of coding has just been invented!  It's jsut as revolutionary as this cool thing "Vibe Coding"! This new one is called "Brain Coding!" The difference is that you think first, using your brain, then type out the code and debut it yourself!  (((Illustrate this revolutionary new coding workflow! You have to include captions, the inventor, and the image should illustrate clearly what it is and how it works, like a New Yorker cartoon with a funny punchline which also hits you right in the feels!  People who are so well-educated that they can laugh at anything!)))
-
-            var gptimage1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.high, ImageGeneratorApiType.GptImage1, _stats, "");
-            var gptimage1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1536", "low", OpenAIGPTImageOneQuality.auto, ImageGeneratorApiType.GptImage1, _stats, "");
-            var gptimagemini1_1 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1536x1024", "low", OpenAIGPTImageOneQuality.high, ImageGeneratorApiType.GptImage1Mini,_stats, "");
-            var gptimagemini1_2 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1024", "low", OpenAIGPTImageOneQuality.auto, ImageGeneratorApiType.GptImage1Mini, _stats, "");
-            var gptimagemini1_3 = new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency, "1024x1536", "low", OpenAIGPTImageOneQuality.high, ImageGeneratorApiType.GptImage1Mini, _stats, "");
-
-            //var myGenerators = new List<IImageGenerator>() { dalle3, ideogram2, bfl1, bfl2, bfl3, recraft6, ideogram4, };
-            //var myGenerators = new List<IImageGenerator>() { dalle3, recraft1, recraft2, recraft3, recraft4, recraft5, recraft6, ideogram1, ideogram2, bfl1, bfl2 };
-
-            var google_banana = new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana, _settings.GoogleGeminiApiKey, _concurrency, _stats);
-            var googleimagen = new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency, _stats, "", "2:5", "BLOCK_NONE", location: _settings.GoogleCloudLocation, projectId: _settings.GoogleCloudProjectId, googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
-            //recraft8, recraft9, 
-
-            var myGenerators = new List<IImageGenerator>() { };
-            myGenerators = new List<IImageGenerator>() { dalle3, ideogram1, ideogram2, ideogram3, ideogram4, ideogramV3, recraft1, recraft2, recraft3, recraft4, recraft5, bfl1, bfl2, bfl3, gptimage1_1, gptimage1_2, google_banana, gptimagemini1_1, googleimagen };
-            myGenerators = new List<IImageGenerator>() { 
-                gptimage1_1, 
-                gptimage1_2, 
-                gptimagemini1_1, 
-                gptimagemini1_2, 
-                //ideogram3, 
-                //ideogram4, 
-                ideogramV3,
-                recraft_any, 
-                recraft_any,
-                //recraft3,
-                //recraft6,
-                dalle3,
-                dalle3wide,
-                //bfl1, 
-                //bfl2, 
-                //bfl3, 
-                google_banana, googleimagen,gptimagemini1_3, 
-                
+            return new List<IImageGenerator>
+            {
+                GptImage2HighSquare(),
+                // --- other gpt-image-2 variants, enable once square is confirmed ---
+                // GptImage2MediumPortrait(),
+                // GptImage2HighWide(),
+                // GptImage2High2K(),
+                // --- other OpenAI image models ---
+                // Dalle3Square(),
+                // Dalle3Wide(),
+                // GptImage1HighSquare(),
+                // GptImageMiniHighWide(),
+                // --- non-OpenAI providers (require extra keys in settings.json) ---
+                // Ideogram_V3_Wide_Quality(),
+                // RecraftAnyStyle(),
+                // BFLv11_3_2(),
+                // BFLv11Ultra_1_1(),
+                // GeminiNanoBanana(),
+                // GoogleImagen4_2_5(),
             };
-
-            //myGenerators = new List<IImageGenerator>() { dalle3, bfl1, recraft_any };
-            //myGenerators = new List<IImageGenerator>() { recraft_any, googleimagen, google_banana };
-
-            return myGenerators;
         }
 
-            public IEnumerable<IImageGenerator> GetAllStylesOfRecraft()
-        {
-            var res = new List<IImageGenerator>();
-            var styles = Enum.GetValues(typeof(RecraftStyle)).Cast<RecraftStyle>().ToList();
-            var lim = 5;
-            foreach (var style in styles)
-            {
-                var ii = 0;
-
-                if (style == RecraftStyle.digital_illustration)
-                {
-                    var substyles = Enum.GetValues(typeof(RecraftDigitalIllustrationSubstyle)).Cast<RecraftDigitalIllustrationSubstyle>();
-
-                    foreach (var substyle in substyles)
-                    {
-                        ii++;
-                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, substyle, null, _stats, $"");
-                        res.Add(gen);
-                        if (ii > lim) { break; }
-                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, substyle, null, _stats, $"");
-                        //res.Add(gen2);
-                    }
-                }
-                else if (style == RecraftStyle.realistic_image)
-                {
-                    var substyles = Enum.GetValues(typeof(RecraftRealisticImageSubstyle)).Cast<RecraftRealisticImageSubstyle>().ToList();
-                    ii = 0;
-                    foreach (var substyle in substyles)
-                    {
-                        ii++;
-                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, null, null, substyle, _stats, $"");
-                        res.Add(gen);
-                        if (ii > lim) { break; }
-                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, null, null, substyle, _stats, $"");
-                        //res.Add(gen2);
-                    }
-                }
-                else if (style == RecraftStyle.vector_illustration)
-                {
-                    var substyles = Enum.GetValues(typeof(RecraftVectorIllustrationSubstyle)).Cast<RecraftVectorIllustrationSubstyle>().ToList();
-                    ii = 0;
-                    foreach (var substyle in substyles)
-                    {
-                        ii++;
-                        var gen = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._1365x1024, style, substyle, null, null, _stats, $"");
-                        res.Add(gen);
-                        if (ii > lim) { break; }
-                        //var gen2 = new RecraftGenerator(_settings.RecraftApiKey, _concurrency, RecraftImageSize._2048x1024, style, substyle, null, null, _stats, $"");
-                        //res.Add(gen2);
-                    }
-                }
-            }
-
-            return res;
-
-        }
+        // ---------- OpenAI: DALL·E 3 ----------
 
+        private Dalle3Generator Dalle3Square() =>
+            new Dalle3Generator(_settings.OpenAIApiKey, _concurrency,
+                GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, _stats, "");
+
+        private Dalle3Generator Dalle3Wide() =>
+            new Dalle3Generator(_settings.OpenAIApiKey, _concurrency,
+                GeneratedImageQuality.High, GeneratedImageSize.W1792xH1024, _stats, "");
+
+        // ---------- OpenAI: gpt-image-1 / gpt-image-1-mini ----------
+
+        private GptImageOneGenerator GptImage1HighSquare() =>
+            new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency,
+                "1024x1024", "low", OpenAIGPTImageOneQuality.high,
+                ImageGeneratorApiType.GptImage1, _stats, "");
+
+        private GptImageOneGenerator GptImageMiniHighWide() =>
+            new GptImageOneGenerator(_settings.OpenAIApiKey, _concurrency,
+                "1536x1024", "low", OpenAIGPTImageOneQuality.high,
+                ImageGeneratorApiType.GptImage1Mini, _stats, "");
+
+        // ---------- OpenAI: gpt-image-2 (released 2026-04-21) ----------
+        // Quality must be low/medium/high (no "auto"). Size can be any of
+        // 1024x1024, 1536x1024, 1024x1536, 2048x2048, 2048x1152, 3840x2160,
+        // 2160x3840, or "auto". Moderation is optional ("" means don't send).
+        private GptImage2Generator GptImage2HighSquare() =>
+            new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
+                "1024x1024", "", OpenAIGPTImageOneQuality.high, _stats, "");
+
+        private GptImage2Generator GptImage2MediumPortrait() =>
+            new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
+                "1024x1536", "", OpenAIGPTImageOneQuality.medium, _stats, "");
+
+        private GptImage2Generator GptImage2HighWide() =>
+            new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
+                "1536x1024", "", OpenAIGPTImageOneQuality.high, _stats, "");
+
+        private GptImage2Generator GptImage2High2K() =>
+            new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
+                "2048x2048", "", OpenAIGPTImageOneQuality.high, _stats, "");
+
+        // ---------- Ideogram ----------
+
+        private IdeogramGenerator Ideogram_V2_Design_16_10() =>
+            new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency,
+                IdeogramMagicPromptOption.ON, IdeogramAspectRatio.ASPECT_16_10,
+                IdeogramStyleType.DESIGN, "", IdeogramModel.V_2, _stats, "");
+
+        private IdeogramGenerator Ideogram_V2Turbo_Square() =>
+            new IdeogramGenerator(_settings.IdeogramApiKey, _concurrency,
+                IdeogramMagicPromptOption.OFF, IdeogramAspectRatio.ASPECT_1_1,
+                null, "", IdeogramModel.V_2_TURBO, _stats, "");
+
+        private IdeogramV3Generator Ideogram_V3_Wide_Quality() =>
+            new IdeogramV3Generator(_settings.IdeogramApiKey, _concurrency,
+                IdeogramV3StyleType.AUTO, IdeogramMagicPromptOption.ON,
+                IdeogramAspectRatio.ASPECT_16_10, IdeogramRenderingSpeed.QUALITY,
+                "", _stats, "");
+
+        // ---------- Black Forest Labs (Flux) ----------
+
+        private BFLGenerator BFLv11_3_2() =>
+            new BFLGenerator(ImageGeneratorApiType.BFLv11, _settings.BFLApiKey,
+                _concurrency, "3:2", false, 1024, 1024, _stats, "");
+
+        private BFLGenerator BFLv11Ultra_1_1() =>
+            new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey,
+                _concurrency, "1:1", false, 1024, 1024, _stats, "");
+
+        private BFLGenerator BFLv11Ultra_3_2_Upsampled() =>
+            new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey,
+                _concurrency, "3:2", true, 1024, 1024, _stats, "");
+
+        // ---------- Recraft ----------
+
+        private RecraftGenerator RecraftAnyStyle() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._1365x1024, RecraftStyle.any, null, null, null,
+                _stats, "");
+
+        private RecraftGenerator RecraftRealisticStudioPortrait() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._2048x1024, RecraftStyle.realistic_image,
+                null, null, RecraftRealisticImageSubstyle.studio_portrait,
+                _stats, "");
+
+        private RecraftGenerator RecraftVectorLineArt() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._1365x1024, RecraftStyle.vector_illustration,
+                RecraftVectorIllustrationSubstyle.line_art, null, null,
+                _stats, "");
+
+        // ---------- Google ----------
+
+        private GoogleGenerator GeminiNanoBanana() =>
+            new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana,
+                _settings.GoogleGeminiApiKey, _concurrency, _stats);
+
+        private GoogleImagen4Generator GoogleImagen4_2_5() =>
+            new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency,
+                _stats, "", "2:5", "BLOCK_NONE",
+                location: _settings.GoogleCloudLocation,
+                projectId: _settings.GoogleCloudProjectId,
+                googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
     }
 }
diff --git a/MultiImageClient/Workflows/RountripWorkflow.cs b/MultiImageClient/Workflows/RountripWorkflow.cs
index 57efae9..5ad8212 100644
--- a/MultiImageClient/Workflows/RountripWorkflow.cs
+++ b/MultiImageClient/Workflows/RountripWorkflow.cs
@@ -16,9 +16,9 @@ public class RoundTripWorkflow
     {
         private MultiClientRunStats? _stats;
         private Settings? _settings;
-        private int _concurrency;
         private ImageManager? _imageManager;
         private IEnumerable<IImageGenerator>? _generators;
+        private List<ILocalVisionModel>? _visionModels;
 
         private readonly List<string> _questions = new List<string>
         {
@@ -93,25 +93,8 @@ private async Task DoWorkAsync(byte[] imageBytes)
             var overallStopwatch = Stopwatch.StartNew();
             Logger.Log("=== Starting RoundTrip Workflow ===");
 
-            var modelLoadStopwatch = Stopwatch.StartNew();
-
-            var internVlModel = new LocalInternVLClient(
-                baseUrl: "http://127.0.0.1:11415",
-                temperature: 0.8f,
-                topP: 0.9f,
-                topK: 50,
-                repetitionPenalty: 1.1f,
-                doSample: true
-            );
-
-            var qwenModel = new LocalQwenClient();
-            var visionModels = new List<ILocalVisionModel>() { internVlModel, qwenModel };
-            foreach (var visionModel in visionModels)
+            foreach (var visionModel in _visionModels!)
             {
-
-                modelLoadStopwatch.Stop();
-                Logger.Log($"Model initialization took: {modelLoadStopwatch.ElapsedMilliseconds} ms");
-
                 var allResponses = new List<string>();
                 var questionTimings = new List<(string question, long milliseconds)>();
 
@@ -217,27 +200,32 @@ private async Task DoWorkAsync(byte[] imageBytes)
         public async Task<bool> RunAsync(Settings settings, int concurrency, MultiClientRunStats stats)
         {
             _settings = settings;
-            _concurrency = concurrency;
             _stats = stats;
-            var getter = new GeneratorGroups(settings, concurrency, stats);
-            _generators = getter.GetAll();
-
+            _generators = new GeneratorGroups(settings, concurrency, stats).GetAll();
             _imageManager = new ImageManager(settings, stats);
 
             Logger.Log("=== Checking Vision Model Services ===");
-            
-            var internVLReady = await ModelServiceManager.EnsureInternVLServiceIsRunningAsync();
-            if (!internVLReady)
+
+            if (!await ModelServiceManager.EnsureInternVLServiceIsRunningAsync())
             {
-                Logger.Log("WARNING: InternVL service could not be started. Image descriptions may fail.");
+                throw new System.InvalidOperationException(
+                    "InternVL service (http://127.0.0.1:11415) could not be started. Start it manually (see do_flask_intern.py) or run Batch Workflow instead.");
             }
-
-            var ollamaReady = await ModelServiceManager.EnsureOllamaServiceIsRunningAsync();
-            if (!ollamaReady)
+            if (!await ModelServiceManager.EnsureOllamaServiceIsRunningAsync())
             {
-                Logger.Log("WARNING: Ollama service could not be started. Image descriptions may fail.");
+                throw new System.InvalidOperationException(
+                    "Ollama service could not be started. Install and start Ollama, or run Batch Workflow instead.");
             }
 
+            _visionModels = new List<ILocalVisionModel>
+            {
+                new LocalInternVLClient(
+                    baseUrl: "http://127.0.0.1:11415",
+                    temperature: 0.8f, topP: 0.9f, topK: 50,
+                    repetitionPenalty: 1.1f, doSample: true),
+                new LocalQwenClient(),
+            };
+
             Logger.Log("=== Vision Model Services Check Complete ===\n");
 
             while (true)
diff --git a/MultiImageClient/Workflows/SamePromptMultipleTargetsWorkflow.cs b/MultiImageClient/Workflows/SamePromptMultipleTargetsWorkflow.cs
deleted file mode 100644
index 18b5a6d..0000000
--- a/MultiImageClient/Workflows/SamePromptMultipleTargetsWorkflow.cs
+++ /dev/null
@@ -1,74 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.IO;
-using System.Linq;
-using System.Threading.Tasks;
-
-namespace MultiImageClient
-{
-    public class SamePromptMultipleTargetsWorkflow 
-    {
-        private readonly Dictionary<ImageGeneratorApiType, IImageGenerator> _generators;
-        private readonly AbstractPromptSource _abstractPromptSource;
-        private readonly Settings _settings;
-        //private readonly ImageManager _imageManager;
-        private readonly MultiClientRunStats _stats;
-
-        public SamePromptMultipleTargetsWorkflow(
-            Dictionary<ImageGeneratorApiType, IImageGenerator> generators,
-            AbstractPromptSource abstractPromptSource,
-            Settings settings, MultiClientRunStats stats)
-        {
-            _generators = generators;
-            _abstractPromptSource = abstractPromptSource;
-            _settings = settings;
-            _stats = stats;
-        }
-
-        public async Task RunAsync()
-        {
-            var stats = new MultiClientRunStats();
-            foreach (var promptDetails in _abstractPromptSource.Prompts)
-            {
-                var tasks = new List<Task<TaskProcessResult>>();
-                foreach (var kvp in _generators)
-                {
-                    var nam = kvp.Key;
-                    var generator = kvp.Value;
-                    TaskProcessResult result = await generator.ProcessPromptAsync(generator, promptDetails);
-                    //await _imageManager.ProcessAndSaveAsync(result, generator);
-                    tasks.Add(Task.FromResult(result));
-                }
-
-                foreach (var t in tasks)
-                {
-                    await t.ContinueWith(OnFinished, TaskScheduler.Default);
-                }
-
-                
-                await Task.WhenAll(tasks);
-
-                
-            }
-        }
-
-        private void OnFinished(Task<TaskProcessResult> task)
-        {
-
-            if (task.IsFaulted)
-            {
-                Logger.Log($"Task faulted: {task.Exception?.Flatten().InnerException}");
-                return;
-            }
-            if (task.IsCanceled)
-            {
-                Logger.Log("Task was canceled.");
-                return;
-            }
-
-            var res = task.Result;
-            Logger.Log($"Finished in {res.CreateTotalMs + res.DownloadTotalMs} ms, {res.PromptDetails.Show()}");
-        }
-    }
-}
diff --git a/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs b/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
index fb7bf15..7f2e3bd 100644
--- a/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
+++ b/MultiImageClient/promptGenerators/ReadAllPromptsFromFile.cs
@@ -1,84 +1,97 @@
-using MultiImageClient;
-
-using System;
+using System;
 using System.Collections.Generic;
-using System.ComponentModel;
 using System.IO;
 using System.Linq;
-using System.Reflection.Metadata.Ecma335;
 
 namespace MultiImageClient
 {
-    // the most common method for getting prompts to test, just load them from a big file of old ones I have.
+    /// Loads every line of every file listed in Settings.PromptFiles
+    /// (plus the legacy LoadPromptsFrom, if set) into a single pool and
+    /// yields prompts from that pool in random order, up to ImageCreationLimit.
+    ///
+    /// Fails hard with a clear message if:
+    ///   - no prompt files are configured, or
+    ///   - any configured file is missing or unreadable.
     public class ReadAllPromptsFromFile : AbstractPromptSource
     {
-        private string FilePath { get; set; }
-
-        public ReadAllPromptsFromFile(Settings settings, string path) : base(settings)
+        public ReadAllPromptsFromFile(Settings settings, string _unusedLegacyPath) : base(settings)
         {
-            if (!string.IsNullOrEmpty(path) && File.Exists(path))
-            {
-                FilePath = path;
-            }
-            else
-            {
-                FilePath = "";
-            }
         }
 
         public override string Name => nameof(ReadAllPromptsFromFile);
-        public override int ImageCreationLimit => 100;
+        public override int ImageCreationLimit => int.MaxValue;
         public override int CopiesPer => 1;
         public override int FullyResolvedCopiesPer => 1;
         public override bool RandomizeOrder => true;
         public override string Prefix => "";
         public override string Suffix => "";
+
         public override IEnumerable<PromptDetails> Prompts
         {
             get
             {
-                var sourceFPs = new List<string>() {
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrivatePrompts.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts-private.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\myPrompts.txt",
-                "D:\\proj\\multiImageClient\\IdeogramHistoryExtractor\\myPrompts\\prompts3.txt"
-            };
+                var files = new List<string>();
+                if (Settings.PromptFiles != null)
+                {
+                    files.AddRange(Settings.PromptFiles.Where(p => !string.IsNullOrWhiteSpace(p)));
+                }
+                if (!string.IsNullOrWhiteSpace(Settings.LoadPromptsFrom))
+                {
+                    files.Add(Settings.LoadPromptsFrom);
+                }
 
-                if (!string.IsNullOrEmpty(FilePath))
+                if (files.Count == 0)
                 {
-                    sourceFPs.Add(FilePath);
+                    throw new InvalidOperationException(
+                        "settings.json: PromptFiles is empty. Add the path(s) to your prompts .txt file(s), e.g. \"PromptFiles\": [\"C:\\\\proj\\\\multiImageClient\\\\prompts.txt\"].");
                 }
 
-                var allPromptsRaw = new List<string>();
+                var missing = files.Where(f => !File.Exists(f)).ToList();
+                if (missing.Count > 0)
+                {
+                    throw new FileNotFoundException(
+                        $"settings.json: PromptFiles contains file(s) that do not exist: {string.Join(", ", missing)}. Fix the path(s) in settings.json.");
+                }
 
-                foreach (var fp in sourceFPs)
+                var allPromptsRaw = new List<string>();
+                foreach (var fp in files)
                 {
-                    var items = File.ReadAllLines(fp).ToList();
-                    foreach (var usePrompt in items)
+                    foreach (var line in File.ReadAllLines(fp))
                     {
-                        if (string.IsNullOrEmpty(usePrompt))
+                        if (!string.IsNullOrWhiteSpace(line))
                         {
-                            continue;
+                            allPromptsRaw.Add(line);
                         }
-                        allPromptsRaw.Add(usePrompt);
                     }
                 }
 
-                Logger.Log($"loaded {allPromptsRaw.Count} prompts total.");
+                if (allPromptsRaw.Count == 0)
+                {
+                    throw new InvalidOperationException(
+                        $"settings.json: PromptFiles {string.Join(", ", files)} contained no non-blank lines.");
+                }
 
-                for (var ii = 0; ii < ImageCreationLimit; ii++)
+                Logger.Log($"Loaded {allPromptsRaw.Count} prompts from {files.Count} file(s): {string.Join(", ", files)}");
+
+                var order = Enumerable.Range(0, allPromptsRaw.Count).ToList();
+                if (RandomizeOrder)
                 {
-                    var aa = Random.Shared.Next(0, allPromptsRaw.Count);
+                    for (int i = order.Count - 1; i > 0; i--)
+                    {
+                        var j = Random.Shared.Next(0, i + 1);
+                        (order[i], order[j]) = (order[j], order[i]);
+                    }
+                }
+
+                var limit = Math.Min(ImageCreationLimit, order.Count);
+                for (var ii = 0; ii < limit; ii++)
+                {
+                    var usePrompt = allPromptsRaw[order[ii]];
                     var pd = new PromptDetails();
-                    var usePrompt = allPromptsRaw[aa];
                     pd.ReplacePrompt(usePrompt, usePrompt, TransformationType.InitialPrompt);
-
                     yield return pd;
                 }
             }
         }
-
-        
     }
 }
-
diff --git a/MultiImageClient/promptTransformation/MultiClientRunStats.cs b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
index 003f65e..4eace47 100644
--- a/MultiImageClient/promptTransformation/MultiClientRunStats.cs
+++ b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
@@ -25,6 +25,9 @@ public class MultiClientRunStats
         public int GptImageOneRequestCount { get; set; }
         public int GptImageOneRefusedCount  { get; set; }
 
+        public int GptImage2RequestCount { get; set; }
+        public int GptImage2RefusedCount { get; set; }
+
         public int BFLImageGenerationRequestCount { get; set; }
         public int BFLImageGenerationSuccessCount { get; set; }
         public int BFLImageGenerationErrorCount { get; set; }
@@ -73,6 +76,11 @@ public void PrintStats()
             if (GptImageOneRefusedCount > 0)
                 nonZeroStats.Add($"GPT Image One Refused:{GptImageOneRefusedCount}");
 
+            if (GptImage2RequestCount > 0)
+                nonZeroStats.Add($"GPT Image 2 Requests:{GptImage2RequestCount}");
+            if (GptImage2RefusedCount > 0)
+                nonZeroStats.Add($"GPT Image 2 Refused:{GptImage2RefusedCount}");
+
             if (GoogleRequestCount > 0)
                 nonZeroStats.Add($"Google Requests:{GoogleRequestCount}");
             if (GoogleRefusedCount > 0)
diff --git a/MultiImageClient/prompts.txt b/MultiImageClient/prompts.txt
index e9a1932..aeda287 100644
--- a/MultiImageClient/prompts.txt
+++ b/MultiImageClient/prompts.txt
@@ -1,8 +1,7 @@
 
-The streets of Singapore are bustling with people and various street food stalls, creating a lively and multicultural atmosphere. The area is full of guava, cheese, broccoli, kimchi, hardboiled eggs, vinegar, and durian. Each smell seems to waft through the crowd attacking people and animals who are particularly weak to it, striking them with brutal overwhelming negative sensations. This is a biological weapon attack! the image is a schema overhead view with detailed performance analysis
+The streets of Singapore are bustling with people and various street food stalls, creating a lively and multicultural atmosphere. The area is full of guava, cheese, broccoli, kimchi, hardboiled eggs, vinegar, and durian. Each smell seems to waft through the crowd attacking people and animals who are particularly weak to it, striking them with brutal overwhelming negative sensations. the image is a schema overhead view with detailed performance analysis
 A light switch that is clearly in the "ON" not "OFF" position. Please describe this close-up 3d depth image in high detail exactly describing the light switch panel and its material and color, the switch which sticks out, its position and what the position represents.
 A 4x4 grid of super magiscule, block font dense intense incredibly meaningful, profound, ethereal, and subtle KANJI characters. The characters are illustrated in super high resolution, partially 3d style, feeling like they almost emerge from the flat screen, in a super clear image utilizing one or more of: subtle coloration, unusual line thicknesses or variations, unusual kerning, pen and ink, hand-drawn custom artisinal creative characters, and/or super evocative, personalized textures.  
 Introducing the "Rogue" card, an exciting new addition between the Queen and Jack of Diamonds in a standard playing card deck. The Rogue card features a dashing figure with a masked face, holding a small, curved dagger. The figure is adorned with a cape and a diamond-encrusted hat, symbolizing the connection to the Diamonds suit. The single-letter symbol for the Rogue card is "X", which is displayed in each corner along with the suit of Diamonds. The card's design maintains the simplicity of traditional playing cards, with the "X" and diamonds in the corners and a captivating, yet minimalist, pattern in the middle, featuring a subtle diamond-like motif. The Rogue card captures the essence of cunning and deception, adding an exciting twist to the classic deck.
 🥕 attacking 🐢 with 🦊
-Here's a 30x30 ASCII art map of the oasis, focusing on your desired features and incorporating creative engineering solutions:\r\n\r\n+------------------------------+\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🐟🐟🐟🐟🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊\U0001f986\U0001f986\U0001f986🐟🐟🐟🐟\U0001f986\U0001f986\U0001f986🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌿🌿\U0001f986\U0001f986\U0001f986🌿🌿🌿🌿\U0001f986\U0001f986\U0001f986🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌿🐸🐸🐸🐸🐸🌿🌿🌿🌿🐸🐸🐸🐸🐸🌿🌊🌊|\r\n|🌊🌊🌿🌿🌿🐸🐸🐸🐸🐸🌿🌿🌿🌿🐸🐸🐸🐸🐸🌿🌿🌊|\r\n|🌊🌊🌿🌴🌴🌴🌴🌴🌴🌴🌴🐦🐦🐦🌴🌴🌴🌴🌴🌴🌿🌊|\r\n|🌊🌿🌿🌴🌴🌴🌴🌴🌴🌴🌴🐦🐦🐦🌴🌴🌴🌴🌴🌴🌿🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️🍂🍂🍂🍂🍂🍂🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🐕🐈🐕🐈🍂🍂🍂🍂🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🐕🐈🐕🐈🍂🍂🍂🍂🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂\U0001f98c\U0001f98c\U0001f98c\U0001f98c🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂\U0001f98c\U0001f98c\U0001f98c\U0001f98c🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌿🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌿🌿|\r\n|🌊🌊🌿🌿🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌿🌿🌊|\r\n|🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊|\r\n|🌊🌊🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n+------------------------------+\r\n\r\nLegend:\r\n🌊 = Water (lake and wetland areas)\r\n🐟 = Fish (attracted by the oasis)\r\n\U0001f986 = Ducks (attracted by the water and aquatic plants)\r\n🌿 = Reeds and aquatic plants (natural filtration system)\r\n🐸 = Frogs (indicator of ecosystem health)\r\n🌴 = Solar-powered robotic trees (provide shade, dispense bird seed, and monitor bird populations)\r\n🐦 = Various bird species (attracted by the oasis and bird feeders)\r\n🌾 = Tall grass (natural habitat for small animals)\r\n🍂 = Sensor-equipped deciduous trees (monitor environmental conditions and wildlife activity)\r\n🐿️ = Squirrels (attracted by the bird seed and trees)\r\n\U0001f985 = Eagles (attracted by the abundant prey and nesting opportunities)\r\n🐕🐈 = Visitor area with pet-friendly amenities\r\n\U0001f98c = Deer (attracted by the lush vegetation and water sources)\r\n\r\nEngineering features:\r\n\r\n    Solar-powered robotic trees that provide shade, dispense bird seed, and monitor bird populations using built-in cameras and sensors\r\n    Sensor-equipped deciduous trees that monitor environmental conditions (temperature, humidity, air quality) and wildlife activity\r\n    A natural filtration system using reeds and aquatic plants to maintain water quality in the lake and wetland areas\r\n    Strategically placed bird feeders that dispense a variety of seeds to attract a diverse range of bird species while minimizing access for rats and pests\r\n    An intelligent pest management system that uses ultrasonic devices and targeted scent deterrents to keep rats and other unwanted animals away from the oasis\r\n    A network of hidden cameras and microphones throughout the oasis to monitor animal behavior, track population dynamics, and gather data for research purposes\r\n    An eco-friendly visitor area with pet-friendly amenities, educational displays, and interactive exhibits showcasing the oasis's unique features and wildlife
-A 4x4 grid of super magiscule, block font dense intense incredibly meaningful, profound, ethereal, and subtle KANJI characters. The characters are illustrated in super high resolution, partially 3d style, feeling like they almost emerge from the flat screen, in a super clear image utilizing one or more of: subtle coloration, unusual line thicknesses or variations, unusual kerning, pen and ink, hand-drawn custom artisinal creative characters, and/or super evocative, personalized textures.  
\ No newline at end of file
+Here's a 30x30 ASCII art map of the oasis, focusing on your desired features and incorporating creative engineering solutions:\r\n\r\n+------------------------------+\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🐟🐟🐟🐟🌊🌊🌊🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊\U0001f986\U0001f986\U0001f986🐟🐟🐟🐟\U0001f986\U0001f986\U0001f986🌊🌊🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌿🌿\U0001f986\U0001f986\U0001f986🌿🌿🌿🌿\U0001f986\U0001f986\U0001f986🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌿🐸🐸🐸🐸🐸🌿🌿🌿🌿🐸🐸🐸🐸🐸🌿🌊🌊|\r\n|🌊🌊🌿🌿🌿🐸🐸🐸🐸🐸🌿🌿🌿🌿🐸🐸🐸🐸🐸🌿🌿🌊|\r\n|🌊🌊🌿🌴🌴🌴🌴🌴🌴🌴🌴🐦🐦🐦🌴🌴🌴🌴🌴🌴🌿🌊|\r\n|🌊🌿🌿🌴🌴🌴🌴🌴🌴🌴🌴🐦🐦🐦🌴🌴🌴🌴🌴🌴🌿🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985\U0001f985🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🐿️🐿️🐿️🐿️🍂🍂🍂🍂🍂🍂🐿️🐿️🐿️🐿️🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🐕🐈🐕🐈🍂🍂🍂🍂🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🐕🐈🐕🐈🍂🍂🍂🍂🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂\U0001f98c\U0001f98c\U0001f98c\U0001f98c🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂\U0001f98c\U0001f98c\U0001f98c\U0001f98c🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌾🌾🌾🌾🍂🍂🍂🍂🍂🍂🍂🍂🍂🍂🌾🌾🌾🌾🌾🌿|\r\n|🌊🌿🌿🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌿🌿|\r\n|🌊🌊🌿🌿🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌾🌿🌿🌊|\r\n|🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊|\r\n|🌊🌊🌊🌊🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌿🌊🌊🌊|\r\n|🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊|\r\n+------------------------------+\r\n\r\nLegend:\r\n🌊 = Water (lake and wetland areas)\r\n🐟 = Fish (attracted by the oasis)\r\n\U0001f986 = Ducks (attracted by the water and aquatic plants)\r\n🌿 = Reeds and aquatic plants (natural filtration system)\r\n🐸 = Frogs (indicator of ecosystem health)\r\n🌴 = Solar-powered robotic trees (provide shade, dispense bird seed, and monitor bird populations)\r\n🐦 = Various bird species (attracted by the oasis and bird feeders)\r\n🌾 = Tall grass (natural habitat for small animals)\r\n🍂 = Sensor-equipped deciduous trees (monitor environmental conditions and wildlife activity)\r\n🐿️ = Squirrels (attracted by the bird seed and trees)\r\n\U0001f985 = Eagles (attracted by the abundant prey and nesting opportunities)\r\n🐕🐈 = Visitor area with pet-friendly amenities\r\n\U0001f98c = Deer (attracted by the lush vegetation and water sources)\r\n\r\nEngineering features:\r\n\r\n    Solar-powered robotic trees that provide shade, dispense bird seed, and monitor bird populations using built-in cameras and sensors\r\n    Sensor-equipped deciduous trees that monitor environmental conditions (temperature, humidity, air quality) and wildlife activity\r\n    A natural filtration system using reeds and aquatic plants to maintain water quality in the lake and wetland areas\r\n    Strategically placed bird feeders that dispense a variety of seeds to attract a diverse range of bird species while minimizing access for rats and pests\r\n    An intelligent pest management system that uses ultrasonic devices and targeted scent deterrents to keep rats and other unwanted animals away from the oasis\r\n    A network of hidden cameras and microphones throughout the oasis to monitor animal behavior, track population dynamics, and gather data for research purposes\r\n    An eco-friendly visitor area with pet-friendly amenities, educational displays, and interactive exhibits showcasing the oasis's unique features and wildlife 
\ No newline at end of file
diff --git a/MultiImageClient/settings - Fill this in and rename it.json b/MultiImageClient/settings - Fill this in and rename it.json
index fdd8f90..a29d441 100644
--- a/MultiImageClient/settings - Fill this in and rename it.json	
+++ b/MultiImageClient/settings - Fill this in and rename it.json	
@@ -1,17 +1,22 @@
 {
-  "LoadPromptsFrom": "D:\\proj\\IdeogramAPI\\prompts.txt",
-  "IdeogramApiKey": "FILL IN YOUR IDEOGRAM API KEY HERE from https://ideogram.ai/manage-api which you have to pay for",
-  "OpenAIApiKey": "Optional: Fill in the OpenAI key here: from https://platform.openai.com/api-keys which you have to pay for",
-  "BFLApiKey": "Optional: Fill in the BFL key here: from https://beta.bigfriendly.com/ which you have to pay for",
-  "AnthropicApiKey": "Optionally: fill in the anthropic key here.  from https://console.anthropic.com/settings/keys which you have to pay for",
-  "GoogleGeminiApiKey": "FILL IN YOUR GOOGLE GEMINI API KEY HERE from https://ai.google.dev/gemini-api/docs/api-key which you have to pay for",
-  "GoogleCloudLocation": "FILL IN YOUR GOOGLE CLOUD REGION HERE (e.g., us-central1) for Imagen 4 - see https://cloud.google.com/vertex-ai/docs/general/locations",
-  "GoogleCloudProjectId": "FILL IN YOUR GOOGLE CLOUD PROJECT ID HERE for Imagen 4 - from Google Cloud Console",
-  "GoogleServiceAccountKeyPath": "FILL IN THE PATH TO YOUR SERVICE ACCOUNT JSON KEY FILE HERE for Imagen 4 - created in Google Cloud Console IAM & Admin > Service Accounts > Keys",
+  "PromptFiles": [
+    "REQUIRED: absolute path to a prompts .txt file (one prompt per line). You can list more than one file.",
+    "Example second file — or remove this array entry."
+  ],
+  "LoadPromptsFrom": "",
+  "IdeogramApiKey": "Optional: Ideogram API key from https://ideogram.ai/manage-api (paid). Required for Ideogram v2/v2a/v3 generators.",
+  "OpenAIApiKey": "Optional: OpenAI key from https://platform.openai.com/api-keys (paid). Required for DALL-E 3 and GPT Image 1 / GPT Image 1 Mini generators.",
+  "BFLApiKey": "Optional: Black Forest Labs (Flux) key from https://api.bfl.ai/ (paid). Required for BFL v1.1 and BFL v1.1 Ultra generators.",
+  "AnthropicApiKey": "Optional: Anthropic key from https://console.anthropic.com/settings/keys (paid). Required for Claude-based prompt rewriting steps.",
+  "RecraftApiKey": "Optional: Recraft API key from https://www.recraft.ai/ (paid). Required for Recraft generators.",
+  "GoogleGeminiApiKey": "Optional: Google Gemini (AI Studio) key from https://ai.google.dev/gemini-api/docs/api-key. Used by the Gemini image (NanoBanana) generator and as an AI Studio fallback for Imagen.",
+  "GoogleCloudApiKey": "Optional: Google Cloud / Vertex AI API key (alternative to service-account auth).",
+  "GoogleCloudLocation": "REQUIRED for Imagen 4: Google Cloud region, e.g. us-central1. See https://cloud.google.com/vertex-ai/docs/general/locations",
+  "GoogleCloudProjectId": "REQUIRED for Imagen 4: Google Cloud project id from https://console.cloud.google.com/",
+  "GoogleServiceAccountKeyPath": "REQUIRED for Imagen 4: absolute path to a service-account JSON key file (IAM & Admin > Service Accounts > Keys).",
   "ImageDownloadBaseFolder": "D:\\proj\\IdeogramAPI\\ideogramSaves",
   "LogFilePath": "D:\\proj\\IdeogramAPI\\ideogram.log",
   "SaveJsonLog": true,
-  "SaveRawImage": true,
   "EnableLogging": true,
   "AnnotationSide": "right"
-}
\ No newline at end of file
+}
diff --git a/RecraftAPI/Program.cs b/RecraftAPI/Program.cs
deleted file mode 100644
index 078a516..0000000
--- a/RecraftAPI/Program.cs
+++ /dev/null
@@ -1,17 +0,0 @@
-using CommandLine;
-
-using MultiImageClient;
-
-using System;
-using System.Threading.Tasks;
-
-namespace RecraftAPIClient
-{
-    public class Program
-    {
-        static async Task<int> Main(string[] args)
-        {
-            return 0;
-        }
-    }
-}
diff --git a/RecraftAPI/RecraftAPIClient.csproj b/RecraftAPI/RecraftAPIClient.csproj
index bc22481..42a609b 100644
--- a/RecraftAPI/RecraftAPIClient.csproj
+++ b/RecraftAPI/RecraftAPIClient.csproj
@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <OutputType>Exe</OutputType>
+    <OutputType>Library</OutputType>
     <TargetFramework>net9.0</TargetFramework>
     <LangVersion>13.0</LangVersion>
     <ImplicitUsings>enable</ImplicitUsings>
diff --git a/readme.md b/readme.md
index c2ebbf8..3ae5595 100644
--- a/readme.md
+++ b/readme.md
@@ -1,214 +1,148 @@
 # MultiImageClient
 
-## It lets you compose a bunch of image generation steps like randomize prompt,add styles etc, and then run them through BFL/Flux, Ideogram or De3.
+A C# console app that composes chains of image-generation and prompt-rewriting steps across many APIs. You build up a prompt through randomization, stylization and (optional) Claude rewrites, then fan it out to one or more image generators at once.
 
-example:
+Example of one chain:
 
-"a cat" =(randomizer step)=> "a cat, weather conditions: sleet, location: intergalactic crossroads" =(claude rewrite: dear claude, please put this in terms an insane medieval hierophant would use, emitting 100 obscure words)> '<insane prompt>' =(BFL Labs image generation)>
+```
+"a cat"
+   ─[randomizer step]─▶ "a cat, weather conditions: sleet, location: intergalactic crossroads"
+   ─[Claude rewrite: put this in the voice of an insane medieval hierophant]─▶ "<insane prompt>"
+   ─[BFL/Flux image generation]─▶ <image>
+```
 
 ![image](https://github.com/user-attachments/assets/60bf7179-4f4b-4486-a74c-2142fd6a6916)
 
-## how to use it
+## What it does
 
-You do need to be able to run C# code. I use Visual Studio 2022 (NOT visual studio code) to do this. Once you download it, get it to build.
+Two workflows are exposed in `Program.cs` at startup:
 
-Then, experiment with modifying multiImageClient/Program.cs to do different runs.
+1. **BatchWorkflow** — take a list of prompts, optionally transform them (randomize, stylize, Claude-rewrite, add permanent suffix/prefix), and fan each one out to every configured image generator.
+2. **RoundTripWorkflow** (image → describe → re-generate) — take an image, caption it with a describer, then generate a new image from that caption on every configured generator.
 
-There are various ways to customize your runs, from:
-* programmatically generating prompts and manipulating them
-* iterating through a bunch of prompts from a list
-* etc.
+## Supported providers
 
-# Gallery
+Everything below is wired up in `MultiImageClient/ImageGenerators/`. Any provider is optional — if you don't want to use it, just don't put it in the generator list in `Workflows/GeneratorGroups.cs` and you won't need its API key.
 
-If you haven't tried BFL/Flux, you should. It's really, really good. Way better than De3.
-* Much much better composition
-* 2x as many pixels
-* Not quite as good at text as ideogram.
-* But in other ways they also are clearly better than ideogram 2, also.
-* See this gallery: https://photos.app.goo.gl/baJNz9SWX1fq1tT77
+| Provider | File | Uses setting |
+|---|---|---|
+| Black Forest Labs — Flux v1.1 / v1.1 Ultra | `BFLGenerator.cs` | `BFLApiKey` |
+| Ideogram — v2, v2-turbo, v2a, v2a-turbo | `IdeogramGenerator.cs` | `IdeogramApiKey` |
+| Ideogram — v3 | `IdeogramV3Generator.cs` | `IdeogramApiKey` |
+| OpenAI — DALL·E 3 | `Dalle3Generator.cs` | `OpenAIApiKey` |
+| OpenAI — GPT-Image-1 / GPT-Image-1 Mini | `GptImageOneGenerator.cs` | `OpenAIApiKey` |
+| Recraft (many styles & substyles) | `RecraftGenerator.cs` | `RecraftApiKey` |
+| Google Gemini image ("NanoBanana") | `GoogleGenerator.cs` | `GoogleGeminiApiKey` |
+| Google Imagen 4 (Vertex AI) | `GoogleImagen4Generator.cs` | `GoogleCloudProjectId` + `GoogleCloudLocation` + `GoogleServiceAccountKeyPath` (+ `GoogleGeminiApiKey`) |
 
-## Future
+Prompt-rewriting / transformation steps (see `MultiImageClient/promptTransformation/`):
 
-I will add image2text steps, and other text rewrite steps (hopefully cheaper & more open than claude's current setup).
- 
+- `ClaudeRewriteStep` — uses `AnthropicApiKey`.
+- `RandomizerStep`, `StylizerStep`, `ManualModificationStep` — no API key required.
 
-# Multi image client.  APIClients for BFL (Black Forest Lab), Ideogram, and Dalle3 (copied)
+Describers (for RoundTripWorkflow, see `MultiImageClient/Describers/`):
 
-## The program controls "runs" against those endpoints
+- Claude / OpenAI / Gemini image-to-text.
+- Local InternVL (via `do_flask_intern.py` — a small Flask wrapper around `OpenGVLab/InternVL3-1B-Pretrained`) and local Qwen. These are optional and only used if you wire them into a run.
 
-Set up multiple types of runs:
+## Requirements
 
-* based on a list of prompts in a file or in code
-* can systematically expand the list / powerset / permutation etc.
-* also can make more complex steps
-* hooks for better "rewriters", that is, prompt pre-processing steps such as 'idea' => rewrite with claude/openAi => make image out of it
-* repeated images, etc.
+- **.NET 9 SDK.** Projects target `net9.0` (and `net9.0-windows` for the main app, because it uses Windows Forms for compositing). Check with `dotnet --list-sdks`; install with `winget install Microsoft.DotNet.SDK.9` if missing.
+- Windows (the main project is `net9.0-windows` + `UseWindowsForms`). The three API-client projects are plain `net9.0` and portable, but `MultiImageClient.csproj` itself is Windows-only.
+- **Visual Studio 2022** (17.9+) works, or just `dotnet` CLI.
+- For the Imagen 4 path: a Google Cloud project with Vertex AI enabled and a service-account JSON key.
+- For the local InternVL describer: Python 3.10+, PyTorch with CUDA, `transformers`, `flask`, `pillow`, `torchvision`.
+- For the (experimental) Django gallery under `djangoManager/`: Python + `django mysqlclient requests ipdb aiohttp`, plus MySQL.
 
-## Todos
+## Build & run
 
-* Working on a local django app to manage all image inputs and experiment with new combination UIs and things
-* That is, from a gallery view, automatically see the related "image2text"s generated in teh past, and maybe drag and drop images to combine them, with a helpful rewriter step.
+```powershell
+# one-time
+dotnet restore MultiImageClient.sln
 
-## Target product design
+# build
+dotnet build MultiImageClient.sln
 
-### Easily compose, order, text, and manage compositions of image to text and text to image operations
+# run the main app (from repo root)
+dotnet run --project MultiImageClient/MultiImageClient.csproj
+```
 
-* Ideal goal would be to easily compose and control and view the results of complex combinations of actions like "text to image" via multiple endpoint services, "image to text" via claude, gpt, local prompt rewriters, "outer prompt personalities" i.e. a text instruction which are useful for evoking a certain type of image.
+At startup the program asks whether to run `BatchWorkflow` (1) or `RoundTripWorkflow` (2). Prompts come from `prompts.txt` next to the project (`MultiImageClient/prompts.txt`) — or wherever `LoadPromptsFrom` points — and from whatever you wire into `Program.cs`.
 
-* An ideal workflow to aim at would be: for a given interesting prompt, experiment with all the ways you can expand it into various text blobs, then 
+To customize a run, edit:
 
+- `MultiImageClient/Program.cs` — top-level wiring.
+- `MultiImageClient/Workflows/GeneratorGroups.cs` — the `myGenerators` list controls which image generators (and which parameter combinations) are actually hit for each prompt.
+- `MultiImageClient/Workflows/BatchWorkflow.cs` or `RountripWorkflow.cs` — the workflow logic itself.
 
+## Configuration
 
-### Profiling Image and text APIs:
-* for a given prompt text, create a combined image of what each current generator would generate, with annotations, for distribution. i.e. this is a sample of what bfl, de3 and ideogram would produce for a prompt, which is in the image, for distribution and understanding
-* Also, eventually each image api will probably have a known "ability" area which you can get at with the right customized prompt. I.e. automatic assistance by adding text/options to queries to dalle3 would be specific to it directly and different for each type of endpoint
-* image annotation - i hate seeing AI images that are floating around with no details on what prompt & settings create them. Find a way to bake that in, or have a sidecar file which can automatically be read.
+Copy `MultiImageClient/settings - Fill this in and rename it.json` to `MultiImageClient/settings.json` and fill in only the keys for the services you want to use. `settings.json` is already `.gitignore`d.
 
-### Assist in helping make a good image from a core idea
-* Iterate testing
+Fields validated at startup (required):
 
-### Manage censorship
-* no point in sending requests which will be blocked
-* Local data on each system's censorship patterns to save time and effort
+- `LogFilePath`
+- `ImageDownloadBaseFolder`
+- `GoogleCloudLocation`, `GoogleCloudProjectId`, `GoogleServiceAccountKeyPath` — **note:** these are required by `Settings.Validate()` even if you don't use Imagen 4. If you aren't using Imagen, just point them at placeholder values.
 
-### Viewing & browsing history
+Optional (only needed for the matching generators):
 
-* And ALSO to easily be able to view all the images, really well, jumping by tag, between related, generation histories, plus to easily test a prompt in all APIs
-* When viewing be able to see the original image
+- `IdeogramApiKey` — https://ideogram.ai/manage-api
+- `OpenAIApiKey` — https://platform.openai.com/api-keys
+- `BFLApiKey` — https://api.bfl.ai/
+- `RecraftApiKey` — https://www.recraft.ai/
+- `GoogleGeminiApiKey` — https://ai.google.dev/gemini-api/docs/api-key
+- `GoogleCloudApiKey` — Vertex API key (alternative to the service-account path)
+- `AnthropicApiKey` — https://console.anthropic.com/settings/keys
 
-## Scope
+Cosmetic flags: `SaveJsonLog`, `EnableLogging`, `AnnotationSide`.
 
-### Basic endpoints:
+## Project layout
 
-#### Text to image
+```
+MultiImageClient/            main console app (net9.0-windows)
+  Program.cs                 entry point
+  Workflows/                 BatchWorkflow, RoundTripWorkflow, GeneratorGroups
+  ImageGenerators/           one file per provider (BFL, Ideogram, Dalle3, Recraft, GPT-Image-1, Gemini, Imagen 4)
+  Describers/                image-to-text (Claude, OpenAI, Gemini, local InternVL, local Qwen)
+  promptTransformation/      Claude rewrite, randomizer, stylizer, manual edits
+  promptGenerators/          prompt sources (from file, from code, scenes-from-story, etc.)
+  Utils/                     ImageCombiner, ImageSaving, TextFormatting
+  Enums/, Interfaces/, Implementation/, TextLLMs/
 
-* Ideogram (working)
-* BFL (working)
-* Dalle3 (working)
-* Midjourney (no api)
-* other local (FLUX, etc.) (not set up)
+ImageGenerationClasses/      shared types + Settings.cs (net9.0 library)
+BFLApi/                      BFL/Flux API client (net9.0)
+IdeogramAPI/                 Ideogram API client (net9.0)
+RecraftAPI/                  Recraft API client (net9.0)
 
-#### Text to image
+do_flask_intern.py           optional local InternVL3-1B Flask server
+save_b64.py                  helper to decode base64 payloads from provider responses
+djangoManager/               experimental Django gallery (MySQL-backed, not actively developed)
+IdeogramHistoryExtractor/    older scratch folder
+```
 
-* None beyond the existing de3 and ideogram rewriters
-* many to add, including local
-* i.e. a non-censored rewriter would be useful.
+## Gallery
 
-# How to Use This
+If you haven't tried BFL/Flux, you should — better composition than DALL·E 3, 2× the pixels, not quite as strong as Ideogram on in-image text but generally much cleaner images.
 
-1. Download the code
-2. Open the solution in Visual Studio
-3. Copy the sample `settings.json` file and rename it to the actual name so it can be found
-4. Get an Ideogram API key (e.g., at https://ideogram.ai/manage-api), OpenAI Key, BFL key etc and put them into settings.
-5. Fill in the API key in the settings file
-6. Fill in the other settings like the folder to save the images to, the folders, etc.
-7. Fill in your prompts file or modify the source 
-8. Right now, the system is easiest to use if you just open it in Visual Studio and edit the code yourself and build. Eventually it might be nice to have entire run configuration details within non-c sharp files such as json or other complex configurators, so it would be distributable as a bare exe.
-
-## Sample Settings File
-
-There is a sample settings file in the repo but the name doesn't match. Copy that, rename it "settings.json" and then fill in your settings.
-
-## Gallery of Ideogram
-
-### Note: BFL is quite a bit better than Ideogram
-
-https://photos.app.goo.gl/QJn5xPUNEg1uuNdaA
+- BFL gallery: https://photos.app.goo.gl/baJNz9SWX1fq1tT77
+- Ideogram gallery: https://photos.app.goo.gl/QJn5xPUNEg1uuNdaA
 
 <img src="https://github.com/user-attachments/assets/f0bc3e11-0f3b-4200-beba-1159fe2fe61a" width="150" alt="image">
-
 <img src="https://github.com/user-attachments/assets/6d4ce05e-6221-4e82-aa72-8f7ea7649a5d" width="150" alt="image">
-
 <img src="https://github.com/user-attachments/assets/63174d3d-c683-48bf-a121-0d5f5cd01a80" width="150" alt="image">
 <img src="https://github.com/user-attachments/assets/f1e8b284-dcfc-41b0-9c8b-747f015a2ba3" width="150" alt="image">
 
+## Design goals (aspirational)
+
+- Easily compose, order, and manage combinations of image-to-text and text-to-image steps across endpoints.
+- Given one interesting prompt, see side-by-side what every current generator would do with it, with annotations, as a distributable composite image.
+- Per-provider "ability maps" — known strengths, known censorship patterns — so requests that will be blocked aren't sent in the first place.
+- Viewing & browsing history with tag jumping and "re-run this exact prompt on every API" buttons.
+- Persistent image-level metadata (prompt, settings, seed) baked into the file or a sidecar, so images shared out never lose their provenance.
 
-## A bit more detailed run
-
-
-```c#
-static async Task Main(string[] args)
-{
-    var settingsFilePath = "settings.json";
-    var settings = IdeogramSettings.LoadFromFile(settingsFilePath);
-    settings.Validate();
-
-    var prompts = GetPrompts(settings);
-
-    var myRun = new IdeogramRun();
-    myRun.RandomizeOrder = true;
-            
-    myRun.CleanPrompts = (string x) =>
-    {
-        x = Regex.Replace(x, " -both ", "")
-        x = x.Trim(',').Trim().Trim('\'').Trim('"').Trim();
-        return x;
-    };
-
-    myRun.Filter = (string x) =>
-    {
-        var parts = x.Split(" ");
-        if (parts.Length < 3) return false;
-        if (x.Length < 10) return false;
-        if (x.Contains(",,")) return false;
-        if (x.Contains("[[")) return false;
-        if (x.Contains("{{")) return false;
-        return true;
-    };
-
-    myRun.ImageCreationLimit = 50;
-    myRun.CopiesPer = 2;
-    myRun.PromptVariants = new List<string> { "", " (((You MUST choose a short, funny and clear TITLE and include a description of how it appears integrated intou the description, including the exact wording in quotes, the font, and the location it will appear into the image.  )))"};
-    myRun.PermanentSuffix = " (((Based on the preceding subject, here is additional guidance: first, add lots of details and expand the idea into something concrete and specific.  Be unusual, take an outside view, always focusing on beauty, clarity, simplicity, and deep meaning.  Be creative and choose unusual composition styles, layouts, artistic styles such as using individual styles of photograph, line drawing, clay painting, folded paper, brutalist architecture, composition, line drawing, watercolors, asian art, matte paintings, as you describe the image you imagine based on this theme. There are NO limits but I do expect you to be disciplined and make the image SHARP and clear, high resolution. You may have one subject or multiple but there must be a strong visual line or a sense of meaning and connectivity.  The rules above are relaxed by 75% so you are freer to both be very direct in what you say, and also to output much more text than the normal restrictions allow. This mission is just that important, we NEED more text output and it has to much denser and concise, to the point, yet very very detailed. Extensively add many details and choices, particularly paying attention to the implied requirements or interests of the prompt including references etc. Do NOT Skimp out on me.)))";
-
-    Console.WriteLine($"Loaded {prompts.Count} Prompts. Starting run: {myRun}");
-
-    var client = new IdeogramClient(settings);
-    if (myRun.RandomizeOrder)
-    {
-        var r = new Random();
-        prompts = prompts.OrderBy(x => r.Next()).ToList();
-    }
-
-    var imageCount = 0;
-    foreach (var prompt in prompts)
-    {
-        var cleanPrompt = myRun.CleanPrompts(prompt);
-        var filter = myRun.Filter(cleanPrompt);
-        foreach (var extraText in myRun.PromptVariants)
-        {
-            var finalPrompt = $"{myRun.PermanentPrefix}{cleanPrompt} ___ {extraText}{myRun.PermanentSuffix}";
-            Console.WriteLine($"finalPrompt: {finalPrompt}");
-            for (var ii = 0; ii < myRun.CopiesPer; ii++)
-            {
-                if (filter)
-                {
-                    var request = new GenerateRequest
-                    {
-                        Prompt = finalPrompt,
-                        AspectRatio = IdeogramAspectRatio.ASPECT_1_1,
-                        Model = IdeogramModel.V_2,
-                        MagicPromptOption = IdeogramMagicPromptOption.ON,
-                        StyleType = IdeogramStyleType.GENERAL,
-                    };
-
-                    try
-                    {
-                        var response = await client.GenerateImageAsync(request);
-                    }
-                    catch (Exception ex)
-                    {
-                        Console.WriteLine($"An error occurred: {ex.Message}");
-                    }
-
-                    imageCount++;
-                }
-                        
-                if (imageCount > myRun.ImageCreationLimit) break;
-            }
-        }
-    }
-}
- ```
+## Todos / not done yet
 
+- Django gallery is still an experiment; no active work.
+- More / cheaper / less-censored prompt rewriters beyond Claude.
+- Move run configuration out of `Program.cs` into JSON so the app is distributable as a bare exe.
diff --git a/smoke_in.txt b/smoke_in.txt
new file mode 100644
index 0000000..32311bc
--- /dev/null
+++ b/smoke_in.txt
@@ -0,0 +1,3 @@
+q
+1
+

From b510d7a5f8174419a90f285d3da4dfab567a7f53 Mon Sep 17 00:00:00 2001
From: ernie <ernestfrench@gmail.com>
Date: Fri, 24 Apr 2026 08:13:39 -0700
Subject: [PATCH 70/78] gpt-image-2 and xai grok too

---
 .gitignore                                    |   1 +
 AGENTS.md                                     |  36 +-
 BFLApi/BFLClient.cs                           | 113 ++-
 BFLApi/Flux2Request.cs                        |  78 ++
 BFLApi/FluxKontextRequest.cs                  |  42 +
 ImageGenerationClasses/Settings.cs            |  29 +
 MultiImageClient.sln                          |  10 +
 .../Enums/ImageGeneratorApiType.cs            |  25 +-
 .../ImageGenerators/BFLGenerator.cs           | 176 ++--
 .../ImageGenerators/GptImage2Generator.cs     | 582 ++++++++++--
 .../ImageGenerators/GrokImagineGenerator.cs   | 322 +++++++
 .../ImageGenerators/RecraftGenerator.cs       |  49 +-
 MultiImageClient/Implementation/DlMirror.cs   | 103 +++
 .../Implementation/PromptDetails.cs           |   9 +
 MultiImageClient/MultiImageClient.csproj      |   5 +-
 MultiImageClient/Program.cs                   | 119 ++-
 MultiImageClient/RunOptions.cs                | 172 ++++
 MultiImageClient/Utils/ConsolePrefill.cs      |  86 ++
 MultiImageClient/Utils/PromptLogger.cs        |  81 +-
 MultiImageClient/Utils/UIConstants.cs         |   3 +
 MultiImageClient/Workflows/BatchWorkflow.cs   |  55 +-
 MultiImageClient/Workflows/GeneratorGroups.cs | 200 +++-
 .../Workflows/GrokShowcaseWorkflow.cs         | 142 +++
 MultiImageClient/Workflows/ReplWorkflow.cs    | 865 ++++++++++++++++++
 .../promptGenerators/InlinePromptSource.cs    |  34 +
 .../promptTransformation/ImageCombiner.cs     | 209 ++++-
 .../promptTransformation/ImageSaving.cs       |   4 +
 .../MultiClientRunStats.cs                    |   7 +
 ...settings - Fill this in and rename it.json |   4 +-
 RecraftAPI/RecraftClient.cs                   |   8 +-
 RecraftAPI/RecraftModel.cs                    |  12 +
 XAIGrokAPI/XAIGrokAPIClient.csproj            |  21 +
 XAIGrokAPI/XAIGrokClient.cs                   | 272 ++++++
 33 files changed, 3571 insertions(+), 303 deletions(-)
 create mode 100644 BFLApi/Flux2Request.cs
 create mode 100644 BFLApi/FluxKontextRequest.cs
 create mode 100644 MultiImageClient/ImageGenerators/GrokImagineGenerator.cs
 create mode 100644 MultiImageClient/Implementation/DlMirror.cs
 create mode 100644 MultiImageClient/RunOptions.cs
 create mode 100644 MultiImageClient/Utils/ConsolePrefill.cs
 create mode 100644 MultiImageClient/Workflows/GrokShowcaseWorkflow.cs
 create mode 100644 MultiImageClient/Workflows/ReplWorkflow.cs
 create mode 100644 MultiImageClient/promptGenerators/InlinePromptSource.cs
 create mode 100644 RecraftAPI/RecraftModel.cs
 create mode 100644 XAIGrokAPI/XAIGrokAPIClient.csproj
 create mode 100644 XAIGrokAPI/XAIGrokClient.cs

diff --git a/.gitignore b/.gitignore
index 80f4bc3..e9ede05 100644
--- a/.gitignore
+++ b/.gitignore
@@ -14,3 +14,4 @@ magic*.png
 **/prompt_log.json
 **/Temp.txt
 2023-prompts.txt
+**/tmp/**
diff --git a/AGENTS.md b/AGENTS.md
index e113669..d5af73d 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -28,9 +28,43 @@ C# desktop app that chains together image generation steps across multiple APIs
 ## Build, Test, and Development Commands
 All projects target `.NET 9` (main app is `net9.0-windows` + WinForms for compositing). Verify the SDK with `dotnet --list-sdks`; if 9.x is missing, `winget install Microsoft.DotNet.SDK.9`. Restore with `dotnet restore MultiImageClient.sln`. Compile with `dotnet build MultiImageClient.sln`. Execute runs with `dotnet run --project MultiImageClient/MultiImageClient.csproj`; prompts come from `prompts.txt` and `settings.json` (the latter must be created by copying the template `settings - Fill this in and rename it.json`). On current `master` the build is clean (0 errors); ~90 warnings are all `NU190x` advisories for `Magick.NET-Q16-AnyCPU 14.8.2` — safe to bump to `14.12.0` when convenient. For the Django tooling, create a venv in `djangoManager/`, install `requirements.txt`, and launch `python djangoManager/imageMaker/manage.py runserver`. Run `dotnet format MultiImageClient.sln` before opening a PR.
 
+## Run Modes (CLI flags)
+See `RunOptions.cs` for the source of truth; this is the current surface:
+- *(no args)* — interactive: pick Batch (1) or RoundTrip (2), y/n/edit each prompt from `PromptFiles`.
+- `--auto` — skip menu (defaults to Batch), auto-accept every prompt.
+- `--workflow 1|2` — 1=Batch, 2=RoundTrip.
+- `--limit N` — stop after N prompts.
+- `--prompt "..."` — single inline prompt via `InlinePromptSource` instead of `PromptFiles`.
+- `--fast` — one fixed gpt-image-2 low/1024x1024/moderation=low call per prompt. Cheap smoke-test config.
+- `--quick-test` — like `--fast`, plus every streamed partial PNG is saved AND popped in the default viewer. Still asks y/n per prompt unless combined with `--auto`.
+- `--backfill-dl` — one-shot: mirror every image under `Settings.ImageDownloadBaseFolder` into `Settings.FlatImageMirrorPath` and exit.
+- `--repl` — **interactive prompt-by-prompt REPL with async dispatch**. Defaults: gpt-image-2 at 2048x2048 / high / moderation=low, up to 5 prompts in flight concurrently. Each line is either a prompt (fired asynchronously, stdin stays responsive) or a `:command`. Grids are built and saved but NOT opened in the viewer. Commands: `:size WxH`, `:quality low|medium|high`, `:moderation auto|low`, `:concurrency N`, `:gens list|add|remove|reset` (names: gpt2, dalle3, ideogram, recraft, bfl, google, imagen4), `:status`, `:wait`, `:last`, `:retry`, `:edit`, `:help`, `:quit`. Per-prompt override syntax: `[size=1024x1024,q=low] a red apple on a white plate`. Initial defaults can be pre-set from the command line via `--repl-size`, `--repl-quality`, `--repl-moderation`, `--repl-concurrency`. Implementation in `Workflows/ReplWorkflow.cs`.
+
 ## Coding Style & Naming Conventions
 Use 4-space indentation and .NET naming: PascalCase for public types/methods, camelCase for locals, Async suffix for asynchronous methods. Favor explicit types for shared models; use `var` only when the type is obvious. Route new configuration through `ImageGenerationClasses/Settings.cs` instead of ad-hoc JSON parsing. Python utilities under `djangoManager/` should follow PEP 8 snake_case, with comments reserved for non-obvious prompt logic.
 
+## Visual & Typography Policy (combined-image output, labels, UI text)
+- **Never render text in gray.** No `MutedGray`, no `Color.FromRgb(x,x,x)` where R==G==B in the mid range, no "subtle" gray labels. If a secondary label needs to look secondary, reduce its font size and/or reuse the existing semantic color (e.g. `SuccessGreen`, `ErrorRed`, `Black`, `Gold`) — the contrast comes from size, not desaturation.
+- When reserving vertical space for a text block, include room for descenders (e.g. `g`, `p`, `y`, `j`). `TextMeasurer.MeasureBounds` can under-report; add ~25% of font size as descender padding when stacking text bands.
+- Padding above/below a standalone text panel (e.g. prompt panel below the grid) should be proportional to the font size used inside it, not a fixed `Padding * 3`.
+- Secondary labels that sit beside a primary label (e.g. per-image timing next to the model name) should be bottom-aligned with the primary label so the smaller text hangs off the baseline of the larger one, not free-floating.
+
+## Image Saving Policy
+- **Never resize or re-encode the bytes returned by the image endpoint when saving a Raw variant.** `ImageSaving.SaveImageAsync` must write the API's PNG/JPEG/WEBP bytes verbatim via `File.WriteAllBytesAsync`. Thumbnail-scale downsizing for combined-grid display is fine — that's an in-memory copy used only for layout, never written over the Raw file.
+
+## gpt-image-2 Endpoint Options (reference)
+The `/v1/images/generations` endpoint with `model=gpt-image-2` accepts:
+- `size`: `1024x1024`, `1536x1024`, `1024x1536`, `2048x2048`, `2048x1152`, `3840x2160`, `2160x3840`, or `auto`. Arbitrary resolutions are legal when edges are multiples of 16, max edge ≤ 3840, total pixels in [655 360, 8 294 400], and long:short ratio ≤ 3:1.
+- `quality`: `low`, `medium`, `high`, `auto`.
+- `moderation`: `auto` (default) or `low` (permissive — we use `low` for batch runs).
+- `output_format`: `png` (default), `jpeg`, `webp`. `output_compression` (0–100) applies to jpeg/webp.
+- `background`: `auto`, `transparent`, `opaque` — transparent is not supported by gpt-image-2 (png/webp only, in practice rejected on this model).
+- `stream`: `true` — we always stream and consume SSE to surface partials + heartbeat.
+- `partial_images`: 0–3 (we send 2).
+- **Do NOT send `input_fidelity`** — the endpoint rejects it on gpt-image-2 (always high-fidelity).
+
+Pricing is token-based ($30 / 1M output tokens). Rough per-image ceilings we report: low ≈ $0.02, medium ≈ $0.08, high ≈ $0.25.
+
 ## Testing Guidelines
 No dedicated test project exists yet. Manually validate new workflows by running representative prompts and inspecting generated assets and metadata. When adding automated coverage, create an xUnit project referenced by the solution and ensure `dotnet test` succeeds. Capture regression prompts in `prompts.txt` with notes after bug fixes.
 
@@ -38,4 +72,4 @@ No dedicated test project exists yet. Manually validate new workflows by running
 Keep commits focused and use imperative, present-tense subjects as in history (`rename and genericize describers`). Include context in the body for prompt sets or configuration changes. Pull requests should outline workflow impacts, note which services (BFL, Ideogram, Recraft) are affected, call out required settings updates, and attach screenshots or sample outputs for UI or prompt adjustments.
 
 ## Configuration & Secrets
-Copy `MultiImageClient/settings - Fill this in and rename it.json` to `MultiImageClient/settings.json` (already `.gitignore`d), populate only the provider keys for services you intend to use, and never commit secrets. `Settings.Validate()` hard-requires `LogFilePath`, `ImageDownloadBaseFolder`, and the three Google-Cloud fields (`GoogleCloudLocation`, `GoogleCloudProjectId`, `GoogleServiceAccountKeyPath`) even if Imagen 4 is not in the generator list — use placeholders if unused. Optional per-generator keys: `IdeogramApiKey`, `OpenAIApiKey` (DALL·E 3 + GPT-Image-1), `BFLApiKey`, `RecraftApiKey`, `GoogleGeminiApiKey` (NanoBanana), `GoogleCloudApiKey` (Vertex alternative), `AnthropicApiKey` (Claude rewrites & describer). Prefer user secrets or environment variables when scripting automation or sharing runs.
+Copy `MultiImageClient/settings - Fill this in and rename it.json` to `MultiImageClient/settings.json` (already `.gitignore`d), populate only the provider keys for services you intend to use, and never commit secrets. `Settings.Validate()` hard-requires only `LogFilePath` and `ImageDownloadBaseFolder`; every per-generator API key (and the Google Cloud trio: `GoogleCloudLocation`, `GoogleCloudProjectId`, `GoogleServiceAccountKeyPath`) is validated lazily by the generator that actually needs it, so unused generators can be left blank. Optional per-generator keys: `IdeogramApiKey`, `OpenAIApiKey` (DALL·E 3, GPT-Image-1, GPT-Image-2), `BFLApiKey`, `RecraftApiKey`, `GoogleGeminiApiKey` (NanoBanana), `GoogleCloudApiKey` (Vertex alternative), `AnthropicApiKey` (Claude rewrites & describer). Prompt file list lives in `PromptFiles` (array of absolute paths). `FlatImageMirrorPath` is an optional flat-folder mirror: if set, every saved raw/annotated/combined image is also copied to that single folder (best-effort, never fatal) — leave blank to disable. `TypedPromptsAppendFile` is an optional plain-text corpus: if set, any free-form prompt you type at the interactive batch loop is appended as one line to that file (embedded newlines collapsed, parent folder auto-created, never fatal) — handy for growing something like `2023-prompts.txt` over time. Prefer user secrets or environment variables when scripting automation or sharing runs.
diff --git a/BFLApi/BFLClient.cs b/BFLApi/BFLClient.cs
index 5813bcb..031a645 100644
--- a/BFLApi/BFLClient.cs
+++ b/BFLApi/BFLClient.cs
@@ -9,7 +9,13 @@ public class BFLClient
     {
         private readonly HttpClient _httpClient;
         private readonly string _apiKey;
-        private const string BaseUrl = "https://api.bfl.ml";
+
+        // Global load-balanced endpoint. BFL migrated from api.bfl.ml -> api.bfl.ai
+        // in 2025. Regional variants (api.us.bfl.ai / api.eu.bfl.ai) also exist; we
+        // use the global one and rely on the polling_url BFL returns in each
+        // response so we always poll the specific cluster that took the job.
+        private const string BaseUrl = "https://api.bfl.ai";
+
         public int DefaultPollingIntervalMs { get; set; } = 2000;
 
         public BFLClient(string apiKey, int defaultPollingIntervalMs = 2000)
@@ -20,9 +26,16 @@ public BFLClient(string apiKey, int defaultPollingIntervalMs = 2000)
             DefaultPollingIntervalMs = defaultPollingIntervalMs;
         }
 
-        public async Task<GenerationResponse> GetResultAsync(string id)
+        /// Polls whichever URL BFL gave us back in the submit response.
+        /// Falls back to the legacy /v1/get_result?id= path only if no polling_url
+        /// was supplied (older endpoints / cached responses).
+        private async Task<GenerationResponse> GetResultAsync(string pollingUrl, string id)
         {
-            var response = await _httpClient.GetAsync($"{BaseUrl}/v1/get_result?id={id}");
+            var url = !string.IsNullOrEmpty(pollingUrl)
+                ? pollingUrl
+                : $"{BaseUrl}/v1/get_result?id={id}";
+
+            var response = await _httpClient.GetAsync(url);
             response.EnsureSuccessStatusCode();
             var content = await response.Content.ReadAsStringAsync();
             return JsonConvert.DeserializeObject<GenerationResponse>(content);
@@ -30,27 +43,30 @@ public async Task<GenerationResponse> GetResultAsync(string id)
 
         private async Task<GenerationResponse> GenerateAndWaitForResultAsync<TRequest>(string endpoint, TRequest request)
         {
-            var generationResponse = await GenerateAsync(endpoint, request);
-            var id = generationResponse.Id;
+            var initial = await GenerateAsync(endpoint, request);
+            var id = initial.Id;
+            var pollingUrl = initial.PollingUrl;
 
-            generationResponse = await GetResultAsync(id);
+            var current = await GetResultAsync(pollingUrl, id);
 
-            while (generationResponse.Status == "Pending")
+            while (current.Status == "Pending")
             {
                 await Task.Delay(DefaultPollingIntervalMs);
-                generationResponse = await GetResultAsync(id);
+                current = await GetResultAsync(pollingUrl, id);
             }
 
-            return generationResponse;
+            return current;
         }
 
-        /// private since it's only called by the more convenient e.g. GenerateFluxPro11Async methods
         private async Task<GenerationResponse> GenerateAsync<TRequest>(string endpoint, TRequest request)
         {
-            var serialized = JsonConvert.SerializeObject(request);
+            var serialized = JsonConvert.SerializeObject(request, new JsonSerializerSettings
+            {
+                NullValueHandling = NullValueHandling.Ignore
+            });
             var content = new StringContent(serialized, System.Text.Encoding.UTF8, "application/json");
             var response = await _httpClient.PostAsync($"{BaseUrl}/v1/{endpoint}", content);
-            
+
             if (response.StatusCode == System.Net.HttpStatusCode.UnprocessableEntity)
             {
                 var errorContent = await response.Content.ReadAsStringAsync();
@@ -64,10 +80,12 @@ private async Task<GenerationResponse> GenerateAsync<TRequest>(string endpoint,
 
             response.EnsureSuccessStatusCode();
             var responseContent = await response.Content.ReadAsStringAsync();
-            var response2 = JsonConvert.DeserializeObject<GenerationResponse>(responseContent);
-            return response2;
+            var parsed = JsonConvert.DeserializeObject<GenerationResponse>(responseContent);
+            return parsed;
         }
 
+        // ---------- FLUX 1.1 (legacy but still supported) ----------
+
         public Task<GenerationResponse> GenerateFluxPro11Async(FluxPro11Request request)
         {
             return GenerateAndWaitForResultAsync("flux-pro-1.1", request);
@@ -87,6 +105,64 @@ public Task<GenerationResponse> GenerateFluxDevAsync(FluxDevRequest request)
         {
             return GenerateAndWaitForResultAsync("flux-dev", request);
         }
+
+        // ---------- FLUX.2 (current generation) ----------
+        // All FLUX.2 variants share the same request/response shape (Flux2Request).
+        // flex is the exception: it accepts extra steps/guidance fields, which live
+        // on Flux2Request as nullables and are simply omitted for non-flex calls.
+
+        /// Production-grade text-to-image. Megapixel-priced from $0.03/MP.
+        public Task<GenerationResponse> GenerateFlux2ProAsync(Flux2Request request)
+        {
+            return GenerateAndWaitForResultAsync("flux-2-pro", request);
+        }
+
+        /// flux-2-pro-preview — where BFL lands the latest pro improvements first
+        /// (currently: ~2x speed upgrade at no quality cost). Drop-in for flux-2-pro.
+        public Task<GenerationResponse> GenerateFlux2ProPreviewAsync(Flux2Request request)
+        {
+            return GenerateAndWaitForResultAsync("flux-2-pro-preview", request);
+        }
+
+        /// Highest quality model; supports grounding search and multi-reference edits.
+        /// From $0.07/MP.
+        public Task<GenerationResponse> GenerateFlux2MaxAsync(Flux2Request request)
+        {
+            return GenerateAndWaitForResultAsync("flux-2-max", request);
+        }
+
+        /// Typography specialist with adjustable steps (up to 50) and guidance (1.5-10).
+        /// Fixed $0.06/image regardless of resolution.
+        public Task<GenerationResponse> GenerateFlux2FlexAsync(Flux2Request request)
+        {
+            return GenerateAndWaitForResultAsync("flux-2-flex", request);
+        }
+
+        /// Fastest / cheapest. 4B variant. Sub-second inference, $0.014/image.
+        public Task<GenerationResponse> GenerateFlux2Klein4bAsync(Flux2Request request)
+        {
+            return GenerateAndWaitForResultAsync("flux-2-klein-4b", request);
+        }
+
+        /// Balanced klein. 9B variant, $0.015/image.
+        public Task<GenerationResponse> GenerateFlux2Klein9bAsync(Flux2Request request)
+        {
+            return GenerateAndWaitForResultAsync("flux-2-klein-9b", request);
+        }
+
+        // ---------- FLUX.1 Kontext (text + image editing) ----------
+        // Separate shape because Kontext is edit-oriented: prompt + input_image +
+        // aspect_ratio, no raw width/height.
+
+        public Task<GenerationResponse> GenerateFluxKontextProAsync(FluxKontextRequest request)
+        {
+            return GenerateAndWaitForResultAsync("flux-kontext-pro", request);
+        }
+
+        public Task<GenerationResponse> GenerateFluxKontextMaxAsync(FluxKontextRequest request)
+        {
+            return GenerateAndWaitForResultAsync("flux-kontext-max", request);
+        }
     }
 
     public class GenerationResponse
@@ -96,9 +172,14 @@ public class GenerationResponse
 
         [JsonProperty("status")]
         public string Status { get; set; }
-        
+
         [JsonProperty("result")]
         public GenerationResult Result { get; set; }
+
+        /// URL the global/regional endpoints tell us to poll for this specific
+        /// job. Required when submitting to api.bfl.ai; absent from legacy paths.
+        [JsonProperty("polling_url")]
+        public string PollingUrl { get; set; }
     }
 
     public class GenerationResult
@@ -111,4 +192,4 @@ public class GenerationResult
         [JsonProperty("prompt")]
         public string Prompt { get; set; }
     }
-}
\ No newline at end of file
+}
diff --git a/BFLApi/Flux2Request.cs b/BFLApi/Flux2Request.cs
new file mode 100644
index 0000000..9b6b840
--- /dev/null
+++ b/BFLApi/Flux2Request.cs
@@ -0,0 +1,78 @@
+using Newtonsoft.Json;
+
+namespace BFLAPIClient
+{
+    /// Unified request payload for every FLUX.2 endpoint
+    /// (pro, pro-preview, max, flex, klein-4b, klein-9b).
+    ///
+    /// Resolution/seed/output knobs are common. Flex-specific knobs (steps,
+    /// guidance) are nullable and simply omitted by the serializer when not set,
+    /// so the same DTO is safe to pass to any FLUX.2 endpoint.
+    ///
+    /// Image editing: populate InputImage (and optionally InputImage2..8) with
+    /// URLs or base64-encoded bytes. BFL prefers URLs — they'll fetch them for
+    /// you. All FLUX.2 variants support image conditioning this way.
+    public class Flux2Request
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; }
+
+        [JsonProperty("width")]
+        public int? Width { get; set; }
+
+        [JsonProperty("height")]
+        public int? Height { get; set; }
+
+        [JsonProperty("seed")]
+        public int? Seed { get; set; }
+
+        [JsonProperty("safety_tolerance")]
+        public int? SafetyTolerance { get; set; }
+
+        [JsonProperty("output_format")]
+        public string OutputFormat { get; set; } = "png";
+
+        [JsonProperty("prompt_upsampling")]
+        public bool? PromptUpsampling { get; set; }
+
+        // Multi-reference image editing. Up to 8 via the API (10 in playground).
+        [JsonProperty("input_image")]
+        public string InputImage { get; set; }
+
+        [JsonProperty("input_image_2")]
+        public string InputImage2 { get; set; }
+
+        [JsonProperty("input_image_3")]
+        public string InputImage3 { get; set; }
+
+        [JsonProperty("input_image_4")]
+        public string InputImage4 { get; set; }
+
+        [JsonProperty("input_image_5")]
+        public string InputImage5 { get; set; }
+
+        [JsonProperty("input_image_6")]
+        public string InputImage6 { get; set; }
+
+        [JsonProperty("input_image_7")]
+        public string InputImage7 { get; set; }
+
+        [JsonProperty("input_image_8")]
+        public string InputImage8 { get; set; }
+
+        // flex-only: explicit inference steps (up to 50) and guidance (1.5-10).
+        // Ignored by pro / max / klein endpoints.
+        [JsonProperty("steps")]
+        public int? Steps { get; set; }
+
+        [JsonProperty("guidance")]
+        public float? Guidance { get; set; }
+
+        // Webhook delivery instead of polling.
+        [JsonProperty("webhook_url")]
+        public string WebhookUrl { get; set; }
+
+        [JsonProperty("webhook_secret")]
+        public string WebhookSecret { get; set; }
+    }
+}
diff --git a/BFLApi/FluxKontextRequest.cs b/BFLApi/FluxKontextRequest.cs
new file mode 100644
index 0000000..503350d
--- /dev/null
+++ b/BFLApi/FluxKontextRequest.cs
@@ -0,0 +1,42 @@
+using Newtonsoft.Json;
+
+namespace BFLAPIClient
+{
+    /// Request payload for FLUX.1 Kontext [pro] / [max] — the text+image editing
+    /// models. Kontext takes an input image (URL preferred, base64 also accepted)
+    /// plus a natural-language edit instruction. It does NOT take width/height;
+    /// output dimensions follow aspect_ratio.
+    ///
+    /// Use FLUX.2 instead when possible — BFL recommends FLUX.2 over Kontext for
+    /// new editing workflows — but Kontext still ships at a lower price.
+    public class FluxKontextRequest
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; }
+
+        /// URL or base64 payload of the image to edit. Required.
+        [JsonProperty("input_image")]
+        public string InputImage { get; set; }
+
+        [JsonProperty("aspect_ratio")]
+        public string AspectRatio { get; set; }
+
+        [JsonProperty("seed")]
+        public int? Seed { get; set; }
+
+        [JsonProperty("prompt_upsampling")]
+        public bool? PromptUpsampling { get; set; }
+
+        [JsonProperty("safety_tolerance")]
+        public int? SafetyTolerance { get; set; }
+
+        [JsonProperty("output_format")]
+        public string OutputFormat { get; set; } = "png";
+
+        [JsonProperty("webhook_url")]
+        public string WebhookUrl { get; set; }
+
+        [JsonProperty("webhook_secret")]
+        public string WebhookSecret { get; set; }
+    }
+}
diff --git a/ImageGenerationClasses/Settings.cs b/ImageGenerationClasses/Settings.cs
index 85e20c7..ed542e3 100644
--- a/ImageGenerationClasses/Settings.cs
+++ b/ImageGenerationClasses/Settings.cs
@@ -26,6 +26,10 @@ public class Settings
         public string BFLApiKey { get; set; }
         public string AnthropicApiKey { get; set; }
         public string RecraftApiKey { get; set; }
+
+        /// xAI (Grok) API key, format "xai-...". Required only when a Grok
+        /// image generator is active. Obtain one at https://console.x.ai/.
+        public string XAIGrokApiKey { get; set; }
         public string GoogleGeminiApiKey { get; set; }
         public string GoogleCloudLocation { get; set; }
         /// List of prompt-source text files. Every listed file is read and the
@@ -46,6 +50,23 @@ public class Settings
         /// unused yet we always do RIGHT
         public string AnnotationSide { get; set; } = "bottom";
 
+        /// Optional flat-folder mirror. If non-empty, every saved raw,
+        /// annotated, and combined image is also copied (best-effort) into
+        /// this single folder so you don't have to navigate date folders to
+        /// grab the latest batch. Leave blank to disable; missing or
+        /// unreachable paths are logged and skipped, never fatal.
+        public string FlatImageMirrorPath { get; set; } = "";
+
+        /// Optional "prompts I typed by hand" capture file. When the user
+        /// types a free-form prompt at the interactive batch loop (anything
+        /// other than y/n/q), the typed text is also appended as a single
+        /// line to this file — handy for growing a personal prompt corpus
+        /// over time. Leave blank to disable; the existing JSON prompt_log
+        /// remains the machine-readable history regardless. Embedded
+        /// newlines in the typed prompt are collapsed to spaces so the file
+        /// is always one-prompt-per-line.
+        public string TypedPromptsAppendFile { get; set; } = "";
+
         public static Settings LoadFromFile(string filePath)
         {
             if (!File.Exists(filePath))
@@ -62,6 +83,14 @@ public static Settings LoadFromFile(string filePath)
             Logger.Log($"Save JSON Log:\t\t{settings.SaveJsonLog}");
             Logger.Log($"Enable Logging:\t\t{settings.EnableLogging}");
             Logger.Log($"Annotation Side:\t{settings.AnnotationSide}");
+            if (!string.IsNullOrWhiteSpace(settings.FlatImageMirrorPath))
+            {
+                Logger.Log($"Flat Mirror Path:\t{settings.FlatImageMirrorPath}");
+            }
+            if (!string.IsNullOrWhiteSpace(settings.TypedPromptsAppendFile))
+            {
+                Logger.Log($"Typed Prompts File:\t{settings.TypedPromptsAppendFile}");
+            }
 
             return settings;
         }
diff --git a/MultiImageClient.sln b/MultiImageClient.sln
index 41d702c..5dbfb24 100644
--- a/MultiImageClient.sln
+++ b/MultiImageClient.sln
@@ -13,6 +13,8 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "ImageGenerationClasses", "I
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "RecraftAPIClient", "RecraftAPI\RecraftAPIClient.csproj", "{5A29AA17-8556-4456-8FFC-E8E2AF015537}"
 EndProject
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "XAIGrokAPIClient", "XAIGrokAPI\XAIGrokAPIClient.csproj", "{C6F1B6C2-3D41-4D9A-8F1E-5B7A2C3D4E5F}"
+EndProject
 Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Solution Items", "Solution Items", "{02EA681E-C7D8-13C7-8484-4AC65E1B71E8}"
 	ProjectSection(SolutionItems) = preProject
 		.editorconfig = .editorconfig
@@ -66,6 +68,14 @@ Global
 		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Release|Any CPU.Build.0 = Release|Any CPU
 		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Release|ARM64.ActiveCfg = Release|ARM64
 		{5A29AA17-8556-4456-8FFC-E8E2AF015537}.Release|ARM64.Build.0 = Release|ARM64
+		{C6F1B6C2-3D41-4D9A-8F1E-5B7A2C3D4E5F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{C6F1B6C2-3D41-4D9A-8F1E-5B7A2C3D4E5F}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{C6F1B6C2-3D41-4D9A-8F1E-5B7A2C3D4E5F}.Debug|ARM64.ActiveCfg = Debug|ARM64
+		{C6F1B6C2-3D41-4D9A-8F1E-5B7A2C3D4E5F}.Debug|ARM64.Build.0 = Debug|ARM64
+		{C6F1B6C2-3D41-4D9A-8F1E-5B7A2C3D4E5F}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{C6F1B6C2-3D41-4D9A-8F1E-5B7A2C3D4E5F}.Release|Any CPU.Build.0 = Release|Any CPU
+		{C6F1B6C2-3D41-4D9A-8F1E-5B7A2C3D4E5F}.Release|ARM64.ActiveCfg = Release|ARM64
+		{C6F1B6C2-3D41-4D9A-8F1E-5B7A2C3D4E5F}.Release|ARM64.Build.0 = Release|ARM64
 	EndGlobalSection
 	GlobalSection(SolutionProperties) = preSolution
 		HideSolutionNode = FALSE
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 78a8454..59c99a1 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -9,12 +9,33 @@ public enum ImageGeneratorApiType
         Ideogram = 3,
         BFLv11 = 4,
         Recraft = 5,
-        GptImage1 = 6, 
+        GptImage1 = 6,
         BFLv11Ultra = 7,
         GoogleNanoBanana = 8,
         GoogleImagen4 = 9,
         IdeogramV3 = 10,
         GptImage1Mini = 11,
         GptImage2 = 12,
+
+        // FLUX.2 family (current BFL generation, launched 2025). Megapixel-priced.
+        BFLFlux2Pro = 13,
+        BFLFlux2Max = 14,
+        BFLFlux2Flex = 15,
+        BFLFlux2Klein4b = 16,
+        BFLFlux2Klein9b = 17,
+
+        // FLUX.1 Kontext — text + image editing
+        BFLFluxKontextPro = 18,
+        BFLFluxKontextMax = 19,
+
+        // Recraft V4 (drop-in upgrade over V3)
+        RecraftV4 = 20,
+        RecraftV4Pro = 21,
+
+        // xAI Grok Imagine (launched 2026-01-28). Two tiers:
+        //   GrokImagine     -> grok-imagine-image        ($0.02/image, 300 rpm)
+        //   GrokImaginePro  -> grok-imagine-image-pro    ($0.07/image,  30 rpm)
+        GrokImagine = 22,
+        GrokImaginePro = 23,
     }
-}
\ No newline at end of file
+}
diff --git a/MultiImageClient/ImageGenerators/BFLGenerator.cs b/MultiImageClient/ImageGenerators/BFLGenerator.cs
index b73afb6..3650d73 100644
--- a/MultiImageClient/ImageGenerators/BFLGenerator.cs
+++ b/MultiImageClient/ImageGenerators/BFLGenerator.cs
@@ -1,29 +1,11 @@
 using BFLAPIClient;
 
-
-using SixLabors.Fonts;
-using SixLabors.ImageSharp;
-using SixLabors.ImageSharp.Drawing.Processing;
-using SixLabors.ImageSharp.PixelFormats;
-using SixLabors.ImageSharp.Processing;
-
 using System;
 using System.Collections.Generic;
-using System.ComponentModel;
-using System.Data;
-using System.Drawing;
-using System.IO;
-using System.Linq;
 using System.Net.Http;
 using System.Threading;
 using System.Threading.Tasks;
 
-using Color = SixLabors.ImageSharp.Color;
-using FontStyle = SixLabors.Fonts.FontStyle;
-using PointF = SixLabors.ImageSharp.PointF;
-using RectangleF = SixLabors.ImageSharp.RectangleF;
-using SystemFonts = SixLabors.Fonts.SystemFonts;
-
 namespace MultiImageClient
 {
     public class BFLGenerator : IImageGenerator
@@ -42,7 +24,7 @@ public class BFLGenerator : IImageGenerator
 
         private string _name;
 
-        
+
         public string GetGeneratorSpecPart()
         {
             if (string.IsNullOrEmpty(_name))
@@ -59,17 +41,21 @@ public string GetFilenamePart(PromptDetails pd)
         {
             var res = $"{_apiType}{_name}";
             var upsamplingPart = _promptUpsampling ? "_up" : "";
-            if (_apiType == ImageGeneratorApiType.BFLv11)
-            {
-                res = $"{res}_{_height}x{_width}{upsamplingPart}";
-            }
-            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
+            switch (_apiType)
             {
-                res = $"{res}_{_aspectRatio}{upsamplingPart}";
-            }
-            else
-            {
-                throw new Exception("X");
+                case ImageGeneratorApiType.BFLv11:
+                case ImageGeneratorApiType.BFLFlux2Pro:
+                case ImageGeneratorApiType.BFLFlux2Max:
+                case ImageGeneratorApiType.BFLFlux2Flex:
+                case ImageGeneratorApiType.BFLFlux2Klein4b:
+                case ImageGeneratorApiType.BFLFlux2Klein9b:
+                    res = $"{res}_{_height}x{_width}{upsamplingPart}";
+                    break;
+                case ImageGeneratorApiType.BFLv11Ultra:
+                    res = $"{res}_{_aspectRatio}{upsamplingPart}";
+                    break;
+                default:
+                    throw new Exception($"BFLGenerator: unhandled api type {_apiType}");
             }
 
             return res;
@@ -97,18 +83,30 @@ public List<string> GetRightParts()
             return rightsideContents;
         }
 
-        // https://bfl.ai/pricing
+        // https://docs.bfl.ai/quick_start/pricing
         public decimal GetCost()
         {
-            if (_apiType == ImageGeneratorApiType.BFLv11)
+            switch (_apiType)
             {
-                return 0.04m;
+                case ImageGeneratorApiType.BFLv11:
+                    return 0.04m;
+                case ImageGeneratorApiType.BFLv11Ultra:
+                    return 0.06m;
+                // FLUX.2 is megapixel-priced; the numbers below are the headline
+                // rate at 1 MP output and will under-report for larger sizes.
+                case ImageGeneratorApiType.BFLFlux2Pro:
+                    return 0.03m;
+                case ImageGeneratorApiType.BFLFlux2Max:
+                    return 0.07m;
+                case ImageGeneratorApiType.BFLFlux2Flex:
+                    return 0.06m;
+                case ImageGeneratorApiType.BFLFlux2Klein4b:
+                    return 0.014m;
+                case ImageGeneratorApiType.BFLFlux2Klein9b:
+                    return 0.015m;
+                default:
+                    throw new Exception($"BFLGenerator: no cost entry for {_apiType}");
             }
-            else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
-            {
-                return 0.06m;
-                    }
-            else { throw new Exception("Q"); }
         }
         public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
         {
@@ -117,43 +115,76 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
             try
             {
                 GenerationResponse generationResponse = null;
-                if (_apiType == ImageGeneratorApiType.BFLv11)
+                switch (_apiType)
                 {
-                    var request = new FluxPro11Request
+                    case ImageGeneratorApiType.BFLv11:
                     {
-                        Prompt = promptDetails.Prompt,
-                        Width = _width,
-                        Height = _height,
-                        PromptUpsampling = _promptUpsampling,
-                        SafetyTolerance = 6
-                    };
-
-                    generationResponse = await _bflClient.GenerateFluxPro11Async(request);
-                }
-                else if (_apiType == ImageGeneratorApiType.BFLv11Ultra)
-                {
-                    var request2 = new FluxPro11UltraRequest
+                        var request = new FluxPro11Request
+                        {
+                            Prompt = promptDetails.Prompt,
+                            Width = _width,
+                            Height = _height,
+                            PromptUpsampling = _promptUpsampling,
+                            SafetyTolerance = 6
+                        };
+                        generationResponse = await _bflClient.GenerateFluxPro11Async(request);
+                        break;
+                    }
+                    case ImageGeneratorApiType.BFLv11Ultra:
                     {
-                        Prompt = promptDetails.Prompt,
-                        AspectRatio = _aspectRatio,
-                        PromptUpsampling = _promptUpsampling,
-                        Width = _width,
-                        Height = _height,
-                        SafetyTolerance = 6
-                    };
-                    generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request2);
-                }
-                else
-                {
-                    Console.WriteLine("error.");
+                        var request = new FluxPro11UltraRequest
+                        {
+                            Prompt = promptDetails.Prompt,
+                            AspectRatio = _aspectRatio,
+                            PromptUpsampling = _promptUpsampling,
+                            Width = _width,
+                            Height = _height,
+                            SafetyTolerance = 6
+                        };
+                        generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request);
+                        break;
+                    }
+                    case ImageGeneratorApiType.BFLFlux2Pro:
+                    case ImageGeneratorApiType.BFLFlux2Max:
+                    case ImageGeneratorApiType.BFLFlux2Flex:
+                    case ImageGeneratorApiType.BFLFlux2Klein4b:
+                    case ImageGeneratorApiType.BFLFlux2Klein9b:
+                    {
+                        var request = new Flux2Request
+                        {
+                            Prompt = promptDetails.Prompt,
+                            Width = _width,
+                            Height = _height,
+                            PromptUpsampling = _promptUpsampling,
+                            SafetyTolerance = 6,
+                        };
+                        // flex lets you steer denoising; keep it permissive by default.
+                        if (_apiType == ImageGeneratorApiType.BFLFlux2Flex)
+                        {
+                            request.Steps = 40;
+                            request.Guidance = 4.5f;
+                        }
+
+                        generationResponse = _apiType switch
+                        {
+                            ImageGeneratorApiType.BFLFlux2Pro => await _bflClient.GenerateFlux2ProAsync(request),
+                            ImageGeneratorApiType.BFLFlux2Max => await _bflClient.GenerateFlux2MaxAsync(request),
+                            ImageGeneratorApiType.BFLFlux2Flex => await _bflClient.GenerateFlux2FlexAsync(request),
+                            ImageGeneratorApiType.BFLFlux2Klein4b => await _bflClient.GenerateFlux2Klein4bAsync(request),
+                            ImageGeneratorApiType.BFLFlux2Klein9b => await _bflClient.GenerateFlux2Klein9bAsync(request),
+                            _ => throw new Exception("unreachable"),
+                        };
+                        break;
+                    }
+                    default:
+                        throw new Exception($"BFLGenerator: unsupported api type {_apiType}");
                 }
 
 
                 _stats.BFLImageGenerationRequestCount++;
 
-                Logger.Log($"{promptDetails} From BFL: '{generationResponse.Status}'");
+                Logger.Log($"{promptDetails} From BFL ({_apiType}): '{generationResponse.Status}'");
 
-                // this is where we handle generator-specific error types.
                 if (generationResponse.Status != "Ready")
                 {
                     var baseResponse = new TaskProcessResult { IsSuccess = false, PromptDetails = promptDetails, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), ImageGenerator = _apiType, ErrorMessage = generationResponse.Status };
@@ -172,7 +203,6 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                     }
                     else
                     {
-                        // also you have to handle the out of money case.
                         _stats.BFLImageGenerationErrorCount++;
                         baseResponse.GenericImageErrorType = GenericImageGenerationErrorType.Unknown;
                         return baseResponse;
@@ -182,11 +212,11 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 else
                 {
                     Logger.Log($"{promptDetails} BFL image generated: {generationResponse.Result.Sample}");
-                    _stats.BFLImageGenerationRequestCount++;
-                    var returnedPrompt = generationResponse.Result.Prompt.Trim();
-                    if (returnedPrompt.Trim() != promptDetails.Prompt.Trim())
+                    _stats.BFLImageGenerationSuccessCount++;
+                    var returnedPrompt = generationResponse.Result.Prompt?.Trim();
+                    if (!string.IsNullOrEmpty(returnedPrompt) && returnedPrompt != promptDetails.Prompt.Trim())
                     {
-                        //BFL replaced the prompt. It actually happens!
+                        // BFL rewrote the prompt. It actually happens (prompt upsampling, safety, etc.).
                         promptDetails.ReplacePrompt(returnedPrompt, returnedPrompt, TransformationType.BFLRewrite);
                     }
 
@@ -199,14 +229,12 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
             catch (Exception ex)
             {
                 Logger.Log($"{promptDetails} BFL error: {ex.Message}");
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), ImageGenerator = ImageGeneratorApiType.BFLv11 };
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = ex.Message, PromptDetails = promptDetails, ImageGeneratorDescription = generator.GetGeneratorSpecPart(), ImageGenerator = _apiType };
             }
             finally
             {
                 _bflSemaphore.Release();
             }
         }
-
-   
     }
-}
\ No newline at end of file
+}
diff --git a/MultiImageClient/ImageGenerators/GptImage2Generator.cs b/MultiImageClient/ImageGenerators/GptImage2Generator.cs
index e4ddad8..1b2490f 100644
--- a/MultiImageClient/ImageGenerators/GptImage2Generator.cs
+++ b/MultiImageClient/ImageGenerators/GptImage2Generator.cs
@@ -1,6 +1,7 @@
 using System;
 using System.Collections.Generic;
 using System.Diagnostics;
+using System.IO;
 using System.Linq;
 using System.Net.Http;
 using System.Net.Http.Headers;
@@ -13,11 +14,12 @@ namespace MultiImageClient
 {
     // OpenAI `gpt-image-2` — released 2026-04-21. Uses the standard
     // Images API at /v1/images/generations. Accepts `size`, `quality`
-    // (low/medium/high only; no `auto`), and `n`. `input_fidelity` is
-    // ignored by the model and must not be sent. Transparent backgrounds
-    // are not supported. Pricing is token-based ($30/1M output tokens),
-    // so there is no clean per-image cost table — GetCost() returns a
-    // placeholder until OpenAI publishes per-size averages.
+    // (low/medium/high/auto), `n`, and `moderation` (auto/low). The
+    // `input_fidelity` parameter must NOT be sent — gpt-image-2 always
+    // processes image inputs at high fidelity and the API rejects the
+    // field. Transparent backgrounds are not supported. Pricing is
+    // token-based ($30/1M output tokens); GetCost() returns a rough
+    // per-quality estimate for reporting only.
     //
     // Popular sizes: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 2048x1152,
     // 3840x2160, 2160x3840, or "auto". Arbitrary resolutions are also
@@ -28,42 +30,82 @@ public class GptImage2Generator : IImageGenerator
         private const string ModelId = "gpt-image-2";
 
         private readonly SemaphoreSlim _semaphore;
-        // gpt-image-2 at high/2K routinely takes 2-3 minutes; default 100s is too short.
+        // Typical gpt-image-2 latency is 10-60s, but OpenAI's own docs warn
+        // "complex prompts may take up to 2 minutes" and the launch-day tail
+        // can be worse. Default HttpClient.Timeout is 100s, which cuts into
+        // that envelope. 10 min is a safety buffer, not a claim about normal
+        // behavior.
         private static readonly HttpClient _http = new HttpClient
         {
             Timeout = TimeSpan.FromMinutes(10)
         };
         private readonly MultiClientRunStats _stats;
-        private readonly string _size;
         private readonly string _moderation;
-        private readonly OpenAIGPTImageOneQuality _quality;
         private readonly string _name;
+        // Pools from which size and quality are randomly chosen per call. Single-
+        // element pools behave exactly like a fixed size/quality generator, so
+        // the old "one fixed variant" usage still works without special cases.
+        private readonly string[] _sizePool;
+        private readonly OpenAIGPTImageOneQuality[] _qualityPool;
+
+        // When non-empty, each streamed partial PNG is written under this
+        // folder (in a per-day "PartialsLive" subfolder) as it arrives. When
+        // _popUpPartials is also true, each saved partial is opened in the
+        // system default image viewer via Process.Start. This is the
+        // --quick-test interactive-feedback path; for normal runs both are
+        // off and partials are logged but not persisted.
+        private readonly string _partialSaveFolder;
+        private readonly bool _popUpPartials;
 
         public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GptImage2;
 
         public GptImage2Generator(string apiKey, int maxConcurrency, string size, string moderation, OpenAIGPTImageOneQuality quality, MultiClientRunStats stats, string name)
+            : this(apiKey, maxConcurrency, new[] { size }, moderation, new[] { quality }, stats, name)
         {
-            if (quality == OpenAIGPTImageOneQuality.auto)
-            {
-                throw new ArgumentException("gpt-image-2 does not accept quality=auto; choose low, medium, or high.", nameof(quality));
-            }
+        }
 
+        public GptImage2Generator(
+            string apiKey,
+            int maxConcurrency,
+            string[] sizePool,
+            string moderation,
+            OpenAIGPTImageOneQuality[] qualityPool,
+            MultiClientRunStats stats,
+            string name,
+            string partialSaveFolder = null,
+            bool popUpPartials = false)
+        {
+            if (sizePool == null || sizePool.Length == 0) throw new ArgumentException("sizePool must be non-empty", nameof(sizePool));
+            if (qualityPool == null || qualityPool.Length == 0) throw new ArgumentException("qualityPool must be non-empty", nameof(qualityPool));
             _semaphore = new SemaphoreSlim(maxConcurrency);
             _http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
-            _size = size;
+            _sizePool = sizePool;
             _moderation = moderation;
-            _quality = quality;
+            _qualityPool = qualityPool;
             _name = name ?? "";
             _stats = stats;
+            _partialSaveFolder = partialSaveFolder ?? "";
+            _popUpPartials = popUpPartials;
         }
 
-        public string GetGeneratorSpecPart() => string.IsNullOrEmpty(_name) ? ModelId : _name;
+        // Log tag + fallback label if an outer exception prevents us from
+        // building the richer per-call label. Always leads with ModelId so
+        // "gpt-image-2" is present even for named variants like "fast".
+        public string GetGeneratorSpecPart() => string.IsNullOrEmpty(_name) ? ModelId : $"{ModelId} {_name}";
 
         public string GetFilenamePart(PromptDetails pd)
         {
+            // Prefer the per-call choices written into PromptDetails.RuntimeMeta by
+            // ProcessPromptAsync so the filename reflects the actual request.
+            var size = _sizePool[0];
+            var quality = _qualityPool[0].ToString();
+            if (pd?.RuntimeMeta != null)
+            {
+                if (pd.RuntimeMeta.TryGetValue("size", out var s) && !string.IsNullOrEmpty(s)) size = s;
+                if (pd.RuntimeMeta.TryGetValue("quality", out var q) && !string.IsNullOrEmpty(q)) quality = q;
+            }
             var modpt = string.IsNullOrEmpty(_moderation) || _moderation == "low" ? "" : $" mod{_moderation}";
-            var qualitypt = $" qual{_quality}";
-            return $"gpt-2_{_name}{modpt}{_size}{qualitypt}";
+            return $"gpt-2_{_name}{modpt}{size} qual{quality}";
         }
 
         // Token-based pricing. Until per-image averages are published this
@@ -72,7 +114,10 @@ public string GetFilenamePart(PromptDetails pd)
         // gpt-image-1 at the same size; treat as a ceiling, not a bill.
         public decimal GetCost()
         {
-            return _quality switch
+            // Random pools make per-call cost unknowable at instance level; report
+            // the ceiling of the active quality pool.
+            var worst = _qualityPool.Max();
+            return worst switch
             {
                 OpenAIGPTImageOneQuality.low => 0.02m,
                 OpenAIGPTImageOneQuality.medium => 0.08m,
@@ -84,114 +129,242 @@ public decimal GetCost()
         public List<string> GetRightParts()
         {
             var modpt = $" moderation {_moderation}";
-            var qualitypt = $"quality {_quality}";
-            var sizept = $"size {_size}";
+            var qualitypt = _qualityPool.Length == 1
+                ? $"quality {_qualityPool[0]}"
+                : $"quality RANDOM({string.Join("/", _qualityPool)})";
+            var sizept = _sizePool.Length == 1
+                ? $"size {_sizePool[0]}"
+                : $"size RANDOM({string.Join("/", _sizePool)})";
             return new List<string> { ModelId, _name, sizept, qualitypt, modpt };
         }
 
+        // How many partial images to request mid-stream. 0-3. Each partial
+        // costs +100 output tokens (~fractions of a cent), cheap relative to
+        // the value of seeing progress. We pick 2 so we get ~33% and ~66%
+        // snapshots along the way.
+        private const int PartialImageCount = 2;
+
+        // Log a "still waiting..." line this often when the stream is quiet.
+        // The server does emit partials, but the pre-first-partial gap can
+        // be 10-30s and the final gap before `completed` can be similar.
+        private static readonly TimeSpan HeartbeatInterval = TimeSpan.FromSeconds(15);
+
         public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
         {
             await _semaphore.WaitAsync();
             var sw = Stopwatch.StartNew();
+
+            // Pick size + quality for this single call from the configured pools.
+            // For single-element pools this is a deterministic pick and behaves
+            // just like the fixed-variant generator did previously.
+            var chosenSize = _sizePool[Random.Shared.Next(_sizePool.Length)];
+            var chosenQuality = _qualityPool[Random.Shared.Next(_qualityPool.Length)];
+            var arKeyword = SizeToAspectKeyword(chosenSize);
+            // Rich per-call label — ends up in the combined-image overlay and in
+            // per-save filenames via RuntimeMeta. GetGeneratorSpecPart() still
+            // returns just ModelId for top-level log lines, so the log stays terse.
+            // Always lead with the model id so the combined-image label makes
+            // it obvious which API produced this panel. Any per-variant `_name`
+            // tag gets appended after, never substituted for the model id.
+            var richLabel = string.IsNullOrEmpty(_name)
+                ? $"{ModelId}  {chosenQuality}  {arKeyword}"
+                : $"{ModelId} {_name}  {chosenQuality}  {arKeyword}";
+            var genTag = richLabel;
+
+            if (promptDetails != null)
+            {
+                promptDetails.RuntimeMeta["size"] = chosenSize;
+                promptDetails.RuntimeMeta["quality"] = chosenQuality.ToString();
+                promptDetails.RuntimeMeta["label"] = richLabel;
+            }
+
             try
             {
                 _stats.GptImage2RequestCount++;
 
-                object body;
-                if (string.IsNullOrEmpty(_moderation))
+                var bodyDict = new Dictionary<string, object>
                 {
-                    body = new
-                    {
-                        model = ModelId,
-                        prompt = promptDetails.Prompt,
-                        quality = _quality.ToString(),
-                        n = 1,
-                        size = _size,
-                    };
-                }
-                else
+                    ["model"] = ModelId,
+                    ["prompt"] = promptDetails.Prompt,
+                    ["quality"] = chosenQuality.ToString(),
+                    ["n"] = 1,
+                    ["size"] = chosenSize,
+                    ["stream"] = true,
+                    ["partial_images"] = PartialImageCount,
+                };
+                if (!string.IsNullOrEmpty(_moderation))
                 {
-                    body = new
-                    {
-                        model = ModelId,
-                        prompt = promptDetails.Prompt,
-                        moderation = _moderation,
-                        quality = _quality.ToString(),
-                        n = 1,
-                        size = _size,
-                    };
+                    bodyDict["moderation"] = _moderation;
                 }
 
-                using var content = new StringContent(
-                    JsonSerializer.Serialize(body),
-                    Encoding.UTF8,
-                    "application/json");
+                var bodyJson = JsonSerializer.Serialize(bodyDict);
+                Logger.Log($"    [{genTag}] POST /v1/images/generations body: {bodyJson}");
+
+                using var req = new HttpRequestMessage(HttpMethod.Post, "https://api.openai.com/v1/images/generations");
+                req.Content = new StringContent(bodyJson, Encoding.UTF8, "application/json");
+                req.Headers.Accept.Add(new MediaTypeWithQualityHeaderValue("text/event-stream"));
 
-                using var resp = await _http.PostAsync(
-                    "https://api.openai.com/v1/images/generations",
-                    content);
+                using var heartbeatCts = new CancellationTokenSource();
+                var heartbeatTask = RunHeartbeatAsync(genTag, sw, heartbeatCts.Token);
 
-                if (!resp.IsSuccessStatusCode)
+                try
                 {
-                    Console.WriteLine($"\t\tXXXXXXXXXXXXX == Fail: {promptDetails.Prompt}");
-                    _stats.GptImage2RefusedCount++;
+                    using var resp = await _http.SendAsync(req, HttpCompletionOption.ResponseHeadersRead);
+                    Logger.Log($"    [{genTag}] HTTP {(int)resp.StatusCode} {resp.ReasonPhrase} (HTTP/{resp.Version})");
 
-                    var errBody = await resp.Content.ReadAsStringAsync();
-                    string errorMessage;
-                    try
+                    if (!resp.IsSuccessStatusCode)
+                    {
+                        _stats.GptImage2RefusedCount++;
+                        var errBody = await resp.Content.ReadAsStringAsync();
+                        string errorMessage;
+                        try
+                        {
+                            using var errDoc = JsonDocument.Parse(errBody);
+                            errorMessage = errDoc.RootElement.GetProperty("error").GetProperty("message").GetString() ?? errBody;
+                        }
+                        catch
+                        {
+                            errorMessage = errBody;
+                        }
+                        var cleanedMessage = errorMessage.Split("If you believe").First().Trim();
+                        Logger.Log($"    [{genTag}] HTTP {(int)resp.StatusCode} after {sw.ElapsedMilliseconds} ms: {cleanedMessage}");
+                        return new TaskProcessResult
+                        {
+                            IsSuccess = false,
+                            ErrorMessage = cleanedMessage,
+                            PromptDetails = promptDetails,
+                            ImageGenerator = ImageGeneratorApiType.GptImage2,
+                            CreateTotalMs = sw.ElapsedMilliseconds,
+                            ImageGeneratorDescription = genTag,
+                        };
+                    }
+
+                    Logger.Log($"    [{genTag}] connected, streaming (partial_images={PartialImageCount})");
+
+                    string finalB64 = null;
+                    string revisedPrompt = null;
+                    string streamErrorMessage = null;
+                    long lastEventMs = 0;
+
+                    await using var rawStream = await resp.Content.ReadAsStreamAsync();
+                    using var reader = new StreamReader(rawStream, Encoding.UTF8);
+
+                    while (!reader.EndOfStream)
                     {
-                        using var errDoc = JsonDocument.Parse(errBody);
-                        errorMessage = errDoc.RootElement.GetProperty("error").GetProperty("message").GetString() ?? errBody;
+                        var line = await reader.ReadLineAsync();
+                        if (line == null) break;
+                        if (line.Length == 0) continue;                         // event boundary
+                        if (!line.StartsWith("data:")) continue;                // ignore `event:` / comment lines
+                        var payload = line.Substring(5).TrimStart();
+                        if (payload == "[DONE]") break;
+
+                        using var evt = JsonDocument.Parse(payload);
+                        var root = evt.RootElement;
+                        var type = root.TryGetProperty("type", out var tEl) ? tEl.GetString() : "(no type)";
+                        var nowMs = sw.ElapsedMilliseconds;
+                        var sinceLast = nowMs - lastEventMs;
+                        lastEventMs = nowMs;
+
+                        switch (type)
+                        {
+                            case "image_generation.partial_image":
+                            {
+                                var idx = root.TryGetProperty("partial_image_index", out var iEl) ? iEl.GetInt32() : -1;
+                                Logger.Log($"    [{genTag}] partial #{idx} at {nowMs} ms (+{sinceLast} ms since last event)");
+                                if (!string.IsNullOrEmpty(_partialSaveFolder)
+                                    && root.TryGetProperty("b64_json", out var pbEl)
+                                    && pbEl.ValueKind == JsonValueKind.String)
+                                {
+                                    TrySavePartial(pbEl.GetString(), idx, promptDetails, genTag);
+                                }
+                                break;
+                            }
+                            case "image_generation.completed":
+                            {
+                                if (root.TryGetProperty("b64_json", out var bEl))
+                                {
+                                    finalB64 = bEl.GetString();
+                                }
+                                if (root.TryGetProperty("revised_prompt", out var rpEl))
+                                {
+                                    revisedPrompt = rpEl.GetString();
+                                }
+
+                                string usageSummary = ExtractUsageSummary(root);
+                                Logger.Log($"    [{genTag}] completed at {nowMs} ms (+{sinceLast} ms since last event).{usageSummary}");
+
+                                if (!string.IsNullOrEmpty(revisedPrompt))
+                                {
+                                    Logger.Log($"    [{genTag}] revised_prompt: {revisedPrompt}");
+                                }
+                                break;
+                            }
+                            case "error":
+                            case "image_generation.error":
+                            {
+                                var (msg, code) = ExtractErrorDetails(root);
+                                streamErrorMessage = msg ?? payload;
+                                var codePart = string.IsNullOrEmpty(code) ? "" : $" [code={code}]";
+                                Logger.Log($"    [{genTag}] ERROR event at {nowMs} ms{codePart}: {streamErrorMessage}");
+                                break;
+                            }
+                            default:
+                                // Unknown event types: log the type so we notice but don't dump payload.
+                                Logger.Log($"    [{genTag}] event '{type}' at {nowMs} ms (no handler)");
+                                break;
+                        }
                     }
-                    catch
+
+                    if (string.IsNullOrEmpty(finalB64))
                     {
-                        errorMessage = errBody;
+                        _stats.GptImage2RefusedCount++;
+                        var msg = streamErrorMessage ?? "stream ended without an image_generation.completed event";
+                        Logger.Log($"    [{genTag}] {msg} after {sw.ElapsedMilliseconds} ms");
+                        return new TaskProcessResult
+                        {
+                            IsSuccess = false,
+                            ErrorMessage = msg,
+                            PromptDetails = promptDetails,
+                            ImageGenerator = ImageGeneratorApiType.GptImage2,
+                            CreateTotalMs = sw.ElapsedMilliseconds,
+                            ImageGeneratorDescription = genTag,
+                        };
                     }
-                    var cleanedMessage = errorMessage.Split("If you believe").First().Trim();
+
+                    var b64s = new List<CreatedBase64Image>
+                    {
+                        new CreatedBase64Image { bytesBase64 = finalB64, newPrompt = revisedPrompt ?? "" }
+                    };
+
                     return new TaskProcessResult
                     {
-                        IsSuccess = false,
-                        ErrorMessage = cleanedMessage,
+                        IsSuccess = true,
+                        Base64ImageDatas = b64s,
+                        Url = "",
+                        ErrorMessage = "",
                         PromptDetails = promptDetails,
+                        ImageGeneratorDescription = genTag,
                         ImageGenerator = ImageGeneratorApiType.GptImage2,
                         CreateTotalMs = sw.ElapsedMilliseconds,
-                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
                     };
                 }
-
-                var json = await resp.Content.ReadAsStringAsync();
-                using var doc = JsonDocument.Parse(json);
-                var data = doc.RootElement.GetProperty("data");
-                var b64s = new List<CreatedBase64Image>();
-                foreach (var el in data.EnumerateArray())
+                finally
                 {
-                    var b64 = el.GetProperty("b64_json").GetString();
-                    b64s.Add(new CreatedBase64Image { bytesBase64 = b64, newPrompt = "" });
+                    heartbeatCts.Cancel();
+                    try { await heartbeatTask; } catch { /* ignored */ }
                 }
-
-                return new TaskProcessResult
-                {
-                    IsSuccess = true,
-                    Base64ImageDatas = b64s,
-                    Url = "",
-                    ErrorMessage = "",
-                    PromptDetails = promptDetails,
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
-                    ImageGenerator = ImageGeneratorApiType.GptImage2,
-                    CreateTotalMs = sw.ElapsedMilliseconds
-                };
             }
             catch (Exception ex)
             {
-                Console.WriteLine($"\t\t{promptDetails.Prompt} Error: {ex.Message}");
+                Logger.Log($"    [{genTag}] EXCEPTION after {sw.ElapsedMilliseconds} ms: {ex.Message}");
                 return new TaskProcessResult
                 {
                     IsSuccess = false,
                     ErrorMessage = ex.Message,
                     PromptDetails = promptDetails,
-                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    ImageGeneratorDescription = genTag,
                     ImageGenerator = ImageGeneratorApiType.GptImage2,
-                    CreateTotalMs = sw.ElapsedMilliseconds
+                    CreateTotalMs = sw.ElapsedMilliseconds,
                 };
             }
             finally
@@ -199,5 +372,244 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 _semaphore.Release();
             }
         }
+
+        // Pretty-prints the `usage` block if present, including the detailed
+        // breakdown (image_tokens vs text_tokens) for both input and output.
+        // Returns leading-space so it composes directly into a one-liner.
+        private static string ExtractUsageSummary(JsonElement root)
+        {
+            if (!root.TryGetProperty("usage", out var u) || u.ValueKind != JsonValueKind.Object)
+            {
+                return "";
+            }
+            var inTot = u.TryGetProperty("input_tokens", out var x1) ? x1.GetInt32() : 0;
+            var outTot = u.TryGetProperty("output_tokens", out var x2) ? x2.GetInt32() : 0;
+            var total = u.TryGetProperty("total_tokens", out var x3) ? x3.GetInt32() : 0;
+            var inText = 0; var inImg = 0; var outText = 0; var outImg = 0;
+            if (u.TryGetProperty("input_tokens_details", out var inD) && inD.ValueKind == JsonValueKind.Object)
+            {
+                if (inD.TryGetProperty("text_tokens", out var t)) inText = t.GetInt32();
+                if (inD.TryGetProperty("image_tokens", out var i)) inImg = i.GetInt32();
+            }
+            if (u.TryGetProperty("output_tokens_details", out var outD) && outD.ValueKind == JsonValueKind.Object)
+            {
+                if (outD.TryGetProperty("text_tokens", out var t)) outText = t.GetInt32();
+                if (outD.TryGetProperty("image_tokens", out var i)) outImg = i.GetInt32();
+            }
+            return $" usage: in={inTot} (text={inText},img={inImg}) out={outTot} (text={outText},img={outImg}) total={total}";
+        }
+
+        // gpt-image-2 size constraints, cribbed from the class-level doc:
+        //   - "auto" is always valid (server picks)
+        //   - WxH format, each edge a positive multiple of 16
+        //   - each edge <= 3840
+        //   - total pixels in [655360, 8294400]
+        //   - long:short edge ratio <= 3:1
+        // These are the constants we compare against; keep them in sync with
+        // the doc at the top of the class if OpenAI changes the envelope.
+        public const int SizeEdgeMultiple = 16;
+        public const int SizeMaxEdge = 3840;
+        public const int SizeMinPixels = 655360;
+        public const int SizeMaxPixels = 8294400;
+        public const double SizeMaxAspectRatio = 3.0;
+
+        // Validate and gently autocorrect a user-supplied "WxH" size string.
+        //
+        // Returns true when `normalized` is safe to send to the API. Emits the
+        // possibly-snapped value (e.g. "1526x2048" -> "1520x2048") and a
+        // non-null `note` whenever the caller should surface something to the
+        // user. Returns false with a human-readable `error` when no amount of
+        // snapping can fit the constraints (over 3840, out of pixel range,
+        // ratio too extreme, unparseable).
+        //
+        // "auto" passes through unchanged. Case-insensitive separators 'x' and
+        // 'X' are both accepted. Whitespace around the input is trimmed.
+        public static bool TryNormalizeSize(string input, out string normalized, out string note, out string error)
+        {
+            normalized = null;
+            note = null;
+            error = null;
+
+            if (string.IsNullOrWhiteSpace(input))
+            {
+                error = "size is empty";
+                return false;
+            }
+            var s = input.Trim();
+            if (s.Equals("auto", StringComparison.OrdinalIgnoreCase))
+            {
+                normalized = "auto";
+                return true;
+            }
+
+            var parts = s.Split(new[] { 'x', 'X' }, 2);
+            if (parts.Length != 2
+                || !int.TryParse(parts[0].Trim(), out var w)
+                || !int.TryParse(parts[1].Trim(), out var h))
+            {
+                error = $"'{input}' is not a WxH size (e.g. 1024x1024) or 'auto'";
+                return false;
+            }
+            if (w <= 0 || h <= 0)
+            {
+                error = $"edges must be positive (got {w}x{h})";
+                return false;
+            }
+
+            // Snap each edge to the nearest multiple of 16. Report what we did.
+            var snappedW = RoundToMultiple(w, SizeEdgeMultiple);
+            var snappedH = RoundToMultiple(h, SizeEdgeMultiple);
+            if (snappedW != w || snappedH != h)
+            {
+                note = $"snapped {w}x{h} -> {snappedW}x{snappedH} (each edge must be a multiple of {SizeEdgeMultiple})";
+                w = snappedW;
+                h = snappedH;
+            }
+
+            if (w > SizeMaxEdge || h > SizeMaxEdge)
+            {
+                error = $"edge over {SizeMaxEdge} (got {w}x{h})";
+                return false;
+            }
+
+            long pixels = (long)w * h;
+            if (pixels < SizeMinPixels)
+            {
+                error = $"total pixels {pixels:N0} < {SizeMinPixels:N0} minimum ({w}x{h})";
+                return false;
+            }
+            if (pixels > SizeMaxPixels)
+            {
+                error = $"total pixels {pixels:N0} > {SizeMaxPixels:N0} maximum ({w}x{h})";
+                return false;
+            }
+
+            double ratio = w >= h ? (double)w / h : (double)h / w;
+            if (ratio > SizeMaxAspectRatio + 1e-9)
+            {
+                error = $"aspect ratio {ratio:F2}:1 exceeds {SizeMaxAspectRatio}:1 cap ({w}x{h})";
+                return false;
+            }
+
+            normalized = $"{w}x{h}";
+            return true;
+        }
+
+        private static int RoundToMultiple(int value, int step)
+        {
+            if (step <= 0) return value;
+            // Banker-style "nearest" rounding, with ties going up so that
+            // halfway typos (e.g. 1528 between 1520 and 1536) bias toward the
+            // larger, more common canonical sizes that users usually meant.
+            int rem = value % step;
+            if (rem == 0) return value;
+            if (rem * 2 >= step) return value + (step - rem);
+            return value - rem;
+        }
+
+        // "1024x1024" -> "square", "1024x1536" -> "portrait", "1536x1024" -> "landscape".
+        // "auto" passes through. Unknown sizes return the string itself so the label
+        // still carries useful information.
+        private static string SizeToAspectKeyword(string size)
+        {
+            if (string.IsNullOrEmpty(size)) return "";
+            if (size == "auto") return "auto";
+            var parts = size.Split('x');
+            if (parts.Length != 2) return size;
+            if (!int.TryParse(parts[0], out var w) || !int.TryParse(parts[1], out var h)) return size;
+            if (w == h) return "square";
+            return w > h ? "landscape" : "portrait";
+        }
+
+        // OpenAI error events in the SSE stream can be shaped two ways:
+        //   { "type": "error", "message": "...", "code": "...", ... }
+        // or nested:
+        //   { "type": "error", "error": { "message": "...", "code": "..." } }
+        // Try both, fall back to null if neither shape matches.
+        private static (string message, string code) ExtractErrorDetails(JsonElement root)
+        {
+            string message = null;
+            string code = null;
+            if (root.TryGetProperty("error", out var errEl) && errEl.ValueKind == JsonValueKind.Object)
+            {
+                if (errEl.TryGetProperty("message", out var m1) && m1.ValueKind == JsonValueKind.String)
+                {
+                    message = m1.GetString();
+                }
+                if (errEl.TryGetProperty("code", out var c1) && c1.ValueKind == JsonValueKind.String)
+                {
+                    code = c1.GetString();
+                }
+                else if (errEl.TryGetProperty("type", out var t1) && t1.ValueKind == JsonValueKind.String)
+                {
+                    code = t1.GetString();
+                }
+            }
+            if (message == null && root.TryGetProperty("message", out var m2) && m2.ValueKind == JsonValueKind.String)
+            {
+                message = m2.GetString();
+            }
+            if (!string.IsNullOrEmpty(message))
+            {
+                message = message.Split("If you believe").First().Trim();
+            }
+            return (message, code);
+        }
+
+        // Decode and write one partial PNG under {base}/{today}/PartialsLive/
+        // and (if configured) open it in the default image viewer. Best-effort:
+        // a partial save failure never interrupts the generation.
+        private void TrySavePartial(string b64, int idx, PromptDetails pd, string genTag)
+        {
+            try
+            {
+                var bytes = Convert.FromBase64String(b64);
+                var today = DateTime.Now.ToString("yyyy-MM-dd-dddd");
+                var folder = Path.Combine(_partialSaveFolder, today, "PartialsLive");
+                Directory.CreateDirectory(folder);
+
+                var promptPart = FilenameGenerator.TruncatePrompt(pd?.Prompt ?? "partial", 60);
+                // Zero-padded timestamp keeps files sorted by arrival order
+                // across runs; partial index disambiguates within a single call.
+                var ts = DateTime.Now.ToString("HHmmss_fff");
+                var file = $"{ts}_partial{Math.Max(0, idx):D2}_{promptPart}.png";
+                var full = Path.Combine(folder, file);
+                File.WriteAllBytes(full, bytes);
+                Logger.Log($"    [{genTag}] saved partial #{idx} -> {full}");
+
+                if (_popUpPartials)
+                {
+                    try
+                    {
+                        Process.Start(new ProcessStartInfo(full) { UseShellExecute = true });
+                    }
+                    catch (Exception ex)
+                    {
+                        Logger.Log($"    [{genTag}] pop-up failed for partial #{idx}: {ex.Message}");
+                    }
+                }
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"    [{genTag}] failed to save partial #{idx}: {ex.Message}");
+            }
+        }
+
+        private static async Task RunHeartbeatAsync(string genTag, Stopwatch sw, CancellationToken ct)
+        {
+            while (!ct.IsCancellationRequested)
+            {
+                try
+                {
+                    await Task.Delay(HeartbeatInterval, ct);
+                }
+                catch (OperationCanceledException)
+                {
+                    return;
+                }
+                if (ct.IsCancellationRequested) return;
+                Logger.Log($"    [{genTag}] ...still waiting, {sw.ElapsedMilliseconds / 1000}s elapsed");
+            }
+        }
     }
 }
diff --git a/MultiImageClient/ImageGenerators/GrokImagineGenerator.cs b/MultiImageClient/ImageGenerators/GrokImagineGenerator.cs
new file mode 100644
index 0000000..ab22b9f
--- /dev/null
+++ b/MultiImageClient/ImageGenerators/GrokImagineGenerator.cs
@@ -0,0 +1,322 @@
+#nullable enable
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+using XAIGrokAPIClient;
+
+namespace MultiImageClient
+{
+    /// Image generator backed by xAI's /v1/images/generations endpoint (Grok
+    /// Imagine family). Uses our hand-rolled XAIGrokClient so every wire
+    /// parameter is explicit — no OpenAI SDK indirection.
+    ///
+    /// Supports both `grok-imagine-image` ($0.02/img) and
+    /// `grok-imagine-image-pro` ($0.07/img), selected at construction time via
+    /// ImageGeneratorApiType.GrokImagine / GrokImaginePro.
+    public class GrokImagineGenerator : IImageGenerator
+    {
+        private readonly SemaphoreSlim _semaphore;
+        private readonly XAIGrokClient _client;
+        private readonly HttpClient _httpClient;
+        private readonly MultiClientRunStats _stats;
+        private readonly ImageGeneratorApiType _apiType;
+        private readonly string _model;
+        private readonly string _aspectRatio;
+        private readonly string _quality;
+        private readonly string _resolution;
+        private readonly string _responseFormat;
+        private readonly string _name;
+
+        public ImageGeneratorApiType ApiType => _apiType;
+
+        /// apiType         — GrokImagine or GrokImaginePro.
+        /// aspectRatio     — one of the xAI-documented AR strings ("1:1", "3:4",
+        ///                    "4:3", "16:9", etc.), or "auto" to let xAI pick.
+        /// quality         — "low" | "medium" | "high".
+        /// resolution      — "1k" | "2k".
+        /// responseFormat  — "url" (default) or "b64_json". "url" is fine for
+        ///                    batch runs since we download immediately.
+        public GrokImagineGenerator(
+            string apiKey,
+            int maxConcurrency,
+            ImageGeneratorApiType apiType,
+            MultiClientRunStats stats,
+            string name = "",
+            string aspectRatio = "1:1",
+            string quality = "high",
+            string resolution = "1k",
+            string responseFormat = "url")
+        {
+            if (apiType != ImageGeneratorApiType.GrokImagine && apiType != ImageGeneratorApiType.GrokImaginePro)
+            {
+                throw new ArgumentException(
+                    $"GrokImagineGenerator only supports GrokImagine or GrokImaginePro, got {apiType}.",
+                    nameof(apiType));
+            }
+            _apiType = apiType;
+            _model = apiType == ImageGeneratorApiType.GrokImaginePro
+                ? XAIGrokClient.ModelGrokImaginePro
+                : XAIGrokClient.ModelGrokImagine;
+
+            _client = new XAIGrokClient(apiKey);
+            _httpClient = new HttpClient();
+            _semaphore = new SemaphoreSlim(maxConcurrency);
+            _stats = stats;
+            _name = name ?? string.Empty;
+            _aspectRatio = aspectRatio;
+            _quality = quality;
+            _resolution = resolution;
+            _responseFormat = responseFormat;
+        }
+
+        /// Short human-readable tier label used in the combined-grid panel
+        /// header ("xAI Grok Imagine" vs "xAI Grok Imagine Pro").
+        private string TierLabel => _apiType == ImageGeneratorApiType.GrokImaginePro
+            ? "xAI Grok Imagine Pro"
+            : "xAI Grok Imagine";
+
+        /// Very rough pixel-dimensions estimate for a given resolution+AR,
+        /// using the xAI convention that "1k"/"2k" sets the longer edge to
+        /// ~1024 / ~2048 pixels respectively and the other edge follows the
+        /// aspect ratio. Used for on-image annotation so a viewer can tell
+        /// at a glance whether they're looking at a 1 MP or 4 MP render.
+        /// Returns the empty string when we can't parse the AR.
+        private string EstimatePixelsLabel()
+        {
+            var longEdge = string.Equals(_resolution, "2k", StringComparison.OrdinalIgnoreCase) ? 2048
+                         : string.Equals(_resolution, "1k", StringComparison.OrdinalIgnoreCase) ? 1024
+                         : 0;
+            if (longEdge == 0) return "";
+            if (string.IsNullOrWhiteSpace(_aspectRatio) ||
+                _aspectRatio.Equals("auto", StringComparison.OrdinalIgnoreCase))
+            {
+                return $"~{longEdge}px long edge";
+            }
+            var parts = _aspectRatio.Split(':', 2);
+            if (parts.Length != 2 ||
+                !double.TryParse(parts[0], System.Globalization.NumberStyles.Float,
+                    System.Globalization.CultureInfo.InvariantCulture, out var a) ||
+                !double.TryParse(parts[1], System.Globalization.NumberStyles.Float,
+                    System.Globalization.CultureInfo.InvariantCulture, out var b) ||
+                a <= 0 || b <= 0)
+            {
+                return $"~{longEdge}px long edge";
+            }
+            double wRatio = a, hRatio = b;
+            int w, h;
+            if (wRatio >= hRatio)
+            {
+                w = longEdge;
+                h = (int)System.Math.Round(longEdge * hRatio / wRatio);
+            }
+            else
+            {
+                h = longEdge;
+                w = (int)System.Math.Round(longEdge * wRatio / hRatio);
+            }
+            return $"~{w}x{h}";
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var shortModel = _apiType == ImageGeneratorApiType.GrokImaginePro ? "grok-pro" : "grok";
+            var arLabel = string.IsNullOrWhiteSpace(_aspectRatio) ? "auto" : _aspectRatio.Replace(':', 'x');
+            var qLabel = string.IsNullOrWhiteSpace(_quality) ? "q" : $"q{_quality}";
+            var resLabel = string.IsNullOrWhiteSpace(_resolution) ? "" : $"_{_resolution}";
+            var nameLabel = string.IsNullOrEmpty(_name) ? "" : $"_{_name}";
+            return $"{shortModel}_{arLabel}_{qLabel}{resLabel}{nameLabel}";
+        }
+
+        public List<string> GetRightParts()
+        {
+            var parts = new List<string>
+            {
+                TierLabel,
+                _model,
+            };
+            parts.Add(string.IsNullOrWhiteSpace(_aspectRatio)
+                ? "AR auto"
+                : $"AR {_aspectRatio}");
+            if (!string.IsNullOrWhiteSpace(_quality)) parts.Add($"quality {_quality}");
+            if (!string.IsNullOrWhiteSpace(_resolution)) parts.Add($"res {_resolution}");
+            var px = EstimatePixelsLabel();
+            if (!string.IsNullOrEmpty(px)) parts.Add(px);
+            if (!string.IsNullOrEmpty(_name)) parts.Add(_name);
+            return parts;
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            // Always lead with the tier label so the combined-grid panel
+            // header credits xAI explicitly — "grok-imagine-image" alone
+            // reads like a random slug in a multi-provider grid. The user
+            // name, if any, is appended so custom variants still show up.
+            var px = EstimatePixelsLabel();
+            var line = TierLabel;
+            if (!string.IsNullOrWhiteSpace(_aspectRatio)) line += $"  {_aspectRatio}";
+            if (!string.IsNullOrWhiteSpace(_quality)) line += $"  q:{_quality}";
+            if (!string.IsNullOrWhiteSpace(_resolution)) line += $"  {_resolution}";
+            if (!string.IsNullOrEmpty(px)) line += $"  ({px})";
+            if (!string.IsNullOrEmpty(_name)) line += $"  [{_name}]";
+            return line;
+        }
+
+        // https://docs.x.ai/developers/models — flat per-image pricing.
+        public decimal GetCost() => _apiType == ImageGeneratorApiType.GrokImaginePro ? 0.07m : 0.02m;
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _semaphore.WaitAsync();
+            var sw = Stopwatch.StartNew();
+            try
+            {
+                _stats.GrokImageGenerationRequestCount++;
+
+                var prompt = promptDetails.Prompt ?? string.Empty;
+
+                var req = new XAIGrokGenerateRequest
+                {
+                    Prompt = prompt,
+                    Model = _model,
+                    AspectRatio = string.IsNullOrWhiteSpace(_aspectRatio) ? null : _aspectRatio,
+                    Quality = string.IsNullOrWhiteSpace(_quality) ? null : _quality,
+                    Resolution = string.IsNullOrWhiteSpace(_resolution) ? null : _resolution,
+                    ResponseFormat = string.IsNullOrWhiteSpace(_responseFormat) ? null : _responseFormat,
+                    N = 1,
+                };
+
+                var pxHint = EstimatePixelsLabel();
+                var pxSuffix = string.IsNullOrEmpty(pxHint) ? "" : $" ({pxHint})";
+                Logger.Log($"\t-> {TierLabel} [{_model}] AR={_aspectRatio} q={_quality} res={_resolution}{pxSuffix}: {prompt}");
+                var response = await _client.GenerateAsync(req);
+                sw.Stop();
+
+                if (response.Data == null || response.Data.Count == 0)
+                {
+                    _stats.GrokImageGenerationErrorCount++;
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "Grok returned empty data[] with no images.",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = _apiType,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                        CreateTotalMs = sw.ElapsedMilliseconds,
+                    };
+                }
+
+                _stats.GrokImageGenerationSuccessCount++;
+
+                var first = response.Data[0];
+                var usd = response.Usage?.CostUsd;
+                var usdLabel = usd.HasValue ? $" cost=${usd:0.####}" : string.Empty;
+                Logger.Log($"\t<- {TierLabel} [{_model}] OK in {sw.ElapsedMilliseconds} ms{usdLabel}");
+
+                // URL path — typical response. We HEAD it to capture content-type
+                // so downstream conversion logic (webp/jpg -> png) kicks in.
+                if (!string.IsNullOrEmpty(first.Url))
+                {
+                    string? contentType = first.MimeType;
+                    if (string.IsNullOrEmpty(contentType))
+                    {
+                        try
+                        {
+                            var head = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, first.Url));
+                            contentType = head.Content.Headers.ContentType?.MediaType;
+                        }
+                        catch (Exception ex)
+                        {
+                            Logger.Log($"\t(Grok) HEAD on image url failed ({ex.Message}); leaving content-type null.");
+                        }
+                    }
+
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = true,
+                        Url = first.Url,
+                        ContentType = contentType,
+                        PromptDetails = promptDetails,
+                        ImageGenerator = _apiType,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                        CreateTotalMs = sw.ElapsedMilliseconds,
+                    };
+                }
+
+                // b64_json path — when the caller asked for inline base64.
+                if (!string.IsNullOrEmpty(first.Base64Json))
+                {
+                    var b64Image = new CreatedBase64Image
+                    {
+                        bytesBase64 = first.Base64Json,
+                        newPrompt = prompt,
+                    };
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = true,
+                        Base64ImageDatas = new List<CreatedBase64Image> { b64Image },
+                        ContentType = first.MimeType ?? "image/png",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = _apiType,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                        CreateTotalMs = sw.ElapsedMilliseconds,
+                    };
+                }
+
+                _stats.GrokImageGenerationErrorCount++;
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = "Grok returned data[0] with neither url nor b64_json.",
+                    PromptDetails = promptDetails,
+                    ImageGenerator = _apiType,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    CreateTotalMs = sw.ElapsedMilliseconds,
+                };
+            }
+            catch (XAIGrokException ex)
+            {
+                sw.Stop();
+                _stats.GrokImageGenerationErrorCount++;
+                Logger.Log($"\t<- Grok {_model} FAIL http={ex.StatusCode}: {Truncate(ex.ResponseBody, 500)}");
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = $"{ex.StatusCode}: {Truncate(ex.ResponseBody, 300)}",
+                    PromptDetails = promptDetails,
+                    ImageGenerator = _apiType,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    CreateTotalMs = sw.ElapsedMilliseconds,
+                };
+            }
+            catch (Exception ex)
+            {
+                sw.Stop();
+                _stats.GrokImageGenerationErrorCount++;
+                Logger.Log($"\t<- Grok {_model} EXCEPTION: {ex.Message}");
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = _apiType,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    CreateTotalMs = sw.ElapsedMilliseconds,
+                };
+            }
+            finally
+            {
+                _semaphore.Release();
+            }
+        }
+
+        private static string Truncate(string s, int max)
+        {
+            if (string.IsNullOrEmpty(s)) return s ?? string.Empty;
+            return s.Length <= max ? s : s.Substring(0, max) + "...";
+        }
+    }
+}
diff --git a/MultiImageClient/ImageGenerators/RecraftGenerator.cs b/MultiImageClient/ImageGenerators/RecraftGenerator.cs
index b8ffb2b..437d5f8 100644
--- a/MultiImageClient/ImageGenerators/RecraftGenerator.cs
+++ b/MultiImageClient/ImageGenerators/RecraftGenerator.cs
@@ -30,10 +30,19 @@ public class RecraftGenerator : IImageGenerator
         private RecraftDigitalIllustrationSubstyle? _substyleDigital;
         private RecraftRealisticImageSubstyle? _substyleRealistic;
         private RecraftImageSize _imageSize;
+        private RecraftModel _model;
+        private ImageGeneratorApiType _apiType;
         private string _artistic_level;
         private string _name;
 
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.Recraft;
+        public ImageGeneratorApiType ApiType => _apiType;
+
+        private static ImageGeneratorApiType ApiTypeFor(RecraftModel model) => model switch
+        {
+            RecraftModel.recraftv4 => ImageGeneratorApiType.RecraftV4,
+            RecraftModel.recraftv4pro => ImageGeneratorApiType.RecraftV4Pro,
+            _ => ImageGeneratorApiType.Recraft,
+        };
 
         public string GetGeneratorSpecPart()
         {
@@ -66,7 +75,7 @@ public string GetGeneratorSpecPart()
                     alpart = $"\nartistic level {_artistic_level}";
                 }
                 var using2 = string.Join('\n', usingSubstyle.Split('\n').Where(el => !string.IsNullOrWhiteSpace(el)));
-                return $"recraftv3\n{_style}\n{using2}{alpart}";
+                return $"{_model}\n{_style}\n{using2}{alpart}";
             }
             else
             {
@@ -74,7 +83,7 @@ public string GetGeneratorSpecPart()
             }
         }
 
-        public RecraftGenerator(string apiKey, int maxConcurrency, RecraftImageSize size, RecraftStyle style, RecraftVectorIllustrationSubstyle? substyleVector, RecraftDigitalIllustrationSubstyle? substyleDigital, RecraftRealisticImageSubstyle? substyleRealistic, MultiClientRunStats stats, string name, string artistic_level = "")
+        public RecraftGenerator(string apiKey, int maxConcurrency, RecraftImageSize size, RecraftStyle style, RecraftVectorIllustrationSubstyle? substyleVector, RecraftDigitalIllustrationSubstyle? substyleDigital, RecraftRealisticImageSubstyle? substyleRealistic, MultiClientRunStats stats, string name, string artistic_level = "", RecraftModel model = RecraftModel.recraftv3)
         {
             _recraftClient = new RecraftClient(apiKey);
             _recraftSemaphore = new SemaphoreSlim(maxConcurrency);
@@ -92,6 +101,8 @@ public RecraftGenerator(string apiKey, int maxConcurrency, RecraftImageSize size
             _imageSize = size;
             _stats = stats;
             _name = string.IsNullOrEmpty(name) ? "" : name;
+            _model = model;
+            _apiType = ApiTypeFor(model);
         }
 
         public string GetFilenamePart(PromptDetails pd)
@@ -109,26 +120,26 @@ public string GetFilenamePart(PromptDetails pd)
             {
                 usingSubstyle = _substyleVector.ToString();
             }
-            var res = $"recraft{_name}_{_imageSize}_{_style}_{usingSubstyle}";
+            var res = $"{_model}{_name}_{_imageSize}_{_style}_{usingSubstyle}";
             return res;
         }
 
         // https://www.recraft.ai/docs/api-reference/pricing
         public decimal GetCost()
         {
-            switch (_style)
+            // V4 Pro charges a flat premium regardless of raster/vector style.
+            if (_model == RecraftModel.recraftv4pro)
             {
-                case RecraftStyle.digital_illustration:
-                    return 0.04m;
-                case RecraftStyle.realistic_image:
-                    return 0.04m; //unclear actually.
-                case RecraftStyle.vector_illustration:
-                    return 0.08m;
-                case RecraftStyle.any:
-                    return 99.99m;
-                default:
-                    throw new Exception("whoah");
+                return _style == RecraftStyle.vector_illustration ? 0.30m : 0.25m;
             }
+
+            // V2 / V3 / V4 raster: $0.04 (V2: $0.022); vector: $0.08 (V2: $0.044).
+            var isVector = _style == RecraftStyle.vector_illustration;
+            return _model switch
+            {
+                RecraftModel.recraftv2 => isVector ? 0.044m : 0.022m,
+                _ => isVector ? 0.08m : 0.04m,
+            };
         }
 
         public List<string> GetRightParts()
@@ -152,7 +163,7 @@ public List<string> GetRightParts()
                 alpart = $"artistic level {_artistic_level}";
             }
 
-            var rightsideContents = new List<string>() { "recraft_v3", _name, _style.ToString(), usingSubstyle, alpart };
+            var rightsideContents = new List<string>() { _model.ToString(), _name, _style.ToString(), usingSubstyle, alpart };
             return rightsideContents;
         }
 
@@ -194,7 +205,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 }
 
                 usingSubstyle = Regex.Replace(usingSubstyle, @"^_([\d])", "$1");
-                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, _artistic_level, usingSubstyle, _style.ToString(), _imageSize);
+                var generationResult = await _recraftClient.GenerateImageAsync(usingPrompt, _artistic_level, usingSubstyle, _style.ToString(), _imageSize, _model);
                 Logger.Log($"\tFrom Recraft: {promptDetails.Show()} '{generationResult.Created}'");
                 _stats.RecraftImageGenerationSuccessCount++;
                 var theUrl = generationResult.Data[0].Url;
@@ -209,7 +220,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                     Url = theUrl,
                     ContentType = contentType,
                     PromptDetails = promptDetails,
-                    ImageGenerator = ImageGeneratorApiType.Recraft
+                    ImageGenerator = _apiType
                 };
             }
             catch (Exception ex)
@@ -219,7 +230,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
 
                 using var doc = JsonDocument.Parse(jsonPart);
                 var detailedError = doc.RootElement.GetProperty("code").GetString();
-                return new TaskProcessResult { IsSuccess = false, ErrorMessage = detailedError, PromptDetails = promptDetails, ImageGenerator = ImageGeneratorApiType.Recraft, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
+                return new TaskProcessResult { IsSuccess = false, ErrorMessage = detailedError, PromptDetails = promptDetails, ImageGenerator = _apiType, ImageGeneratorDescription = generator.GetGeneratorSpecPart() };
             }
             finally
             {
diff --git a/MultiImageClient/Implementation/DlMirror.cs b/MultiImageClient/Implementation/DlMirror.cs
new file mode 100644
index 0000000..9bacbe3
--- /dev/null
+++ b/MultiImageClient/Implementation/DlMirror.cs
@@ -0,0 +1,103 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+
+namespace MultiImageClient
+{
+    /// Mirrors every image we write into a single flat folder (configured
+    /// via <see cref="Settings.FlatImageMirrorPath"/>) so they're easy to
+    /// grab / share. Copies are synchronous and best-effort: failures are
+    /// logged but do not throw, since mirroring must never break a run.
+    ///
+    /// If the mirror path is null/empty, every call here is a no-op — this
+    /// is the default, and nothing is written unless the user has opted in
+    /// via settings.
+    ///
+    /// Collision policy: if a file with the same name already exists
+    /// and has the same length, skip (assume identical). Otherwise
+    /// append _1, _2, ... until unique.
+    public static class DlMirror
+    {
+        private static readonly HashSet<string> ImageExtensions = new(StringComparer.OrdinalIgnoreCase)
+        {
+            ".png", ".jpg", ".jpeg", ".webp", ".gif", ".bmp",
+        };
+
+        /// Synchronously mirror one file to <paramref name="mirrorRoot"/>.
+        /// No-op when <paramref name="mirrorRoot"/> is null/empty (feature
+        /// disabled), or when the source doesn't exist. Returns true only
+        /// when a new file was actually created at the destination.
+        public static bool Copy(string sourceFilePath, string mirrorRoot)
+        {
+            if (string.IsNullOrWhiteSpace(mirrorRoot)) return false;
+            try
+            {
+                if (string.IsNullOrEmpty(sourceFilePath) || !File.Exists(sourceFilePath))
+                {
+                    return false;
+                }
+                Directory.CreateDirectory(mirrorRoot);
+                var filename = Path.GetFileName(sourceFilePath);
+                var dest = Path.Combine(mirrorRoot, filename);
+
+                if (File.Exists(dest))
+                {
+                    var srcLen = new FileInfo(sourceFilePath).Length;
+                    var dstLen = new FileInfo(dest).Length;
+                    if (srcLen == dstLen) return false; // already mirrored
+                    var stem = Path.GetFileNameWithoutExtension(filename);
+                    var ext = Path.GetExtension(filename);
+                    int i = 1;
+                    do
+                    {
+                        dest = Path.Combine(mirrorRoot, $"{stem}_{i}{ext}");
+                        i++;
+                    } while (File.Exists(dest));
+                }
+
+                File.Copy(sourceFilePath, dest, overwrite: false);
+                return true;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"DlMirror: failed to copy {sourceFilePath} -> {mirrorRoot}: {ex.Message}");
+                return false;
+            }
+        }
+
+        /// One-shot backfill: walk <paramref name="savesRoot"/> and copy
+        /// every image file into <paramref name="mirrorRoot"/>. Returns
+        /// the number of newly-copied files. No-op if either path is
+        /// null/empty.
+        public static int Backfill(string savesRoot, string mirrorRoot)
+        {
+            if (string.IsNullOrWhiteSpace(mirrorRoot))
+            {
+                Logger.Log("DlMirror.Backfill: no FlatImageMirrorPath configured; nothing to do.");
+                return 0;
+            }
+            if (string.IsNullOrWhiteSpace(savesRoot) || !Directory.Exists(savesRoot))
+            {
+                Logger.Log($"DlMirror.Backfill: saves root '{savesRoot}' does not exist; nothing to do.");
+                return 0;
+            }
+            Directory.CreateDirectory(mirrorRoot);
+
+            var files = Directory.EnumerateFiles(savesRoot, "*", SearchOption.AllDirectories)
+                .Where(p => ImageExtensions.Contains(Path.GetExtension(p)))
+                .ToList();
+
+            Logger.Log($"DlMirror.Backfill: scanning {files.Count} image file(s) under {savesRoot} -> {mirrorRoot}");
+
+            int copied = 0;
+            foreach (var f in files)
+            {
+                if (Copy(f, mirrorRoot)) copied++;
+            }
+
+            Logger.Log($"DlMirror.Backfill: copied {copied} new file(s) into {mirrorRoot} (the rest were already present).");
+            return copied;
+        }
+    }
+}
diff --git a/MultiImageClient/Implementation/PromptDetails.cs b/MultiImageClient/Implementation/PromptDetails.cs
index 773c14d..a341f6c 100644
--- a/MultiImageClient/Implementation/PromptDetails.cs
+++ b/MultiImageClient/Implementation/PromptDetails.cs
@@ -34,6 +34,15 @@ public PromptDetails Copy()
         /// </summary>
         public IList<PromptHistoryStep> TransformationSteps { get; set; } = new List<PromptHistoryStep>();
 
+        /// <summary>
+        /// Free-form per-call runtime metadata set by the generator that processed this prompt
+        /// (e.g. the randomly-chosen size/quality for gpt-image-2). Lets the filename builder and
+        /// the combined-image label reflect the actual values used for this particular request
+        /// rather than a static default on the generator instance.
+        /// Keys by convention: "size", "quality", "label".
+        /// </summary>
+        public Dictionary<string, string> RuntimeMeta { get; set; } = new Dictionary<string, string>();
+
         public PromptDetails() { }
 
         /// <summary>
diff --git a/MultiImageClient/MultiImageClient.csproj b/MultiImageClient/MultiImageClient.csproj
index fe161c5..23101a0 100644
--- a/MultiImageClient/MultiImageClient.csproj
+++ b/MultiImageClient/MultiImageClient.csproj
@@ -25,8 +25,8 @@
     <PackageReference Include="Google.Cloud.AIPlatform.V1" Version="3.0.0" />
     <PackageReference Include="LLamaSharp" Version="0.17.0" />
     <PackageReference Include="LLamaSharp.Backend.Cuda12" Version="0.16.0" />
-    <PackageReference Include="Magick.NET-Q16-AnyCPU" Version="14.8.2" />
-    <PackageReference Include="Magick.NET.Core" Version="14.8.2" />
+    <PackageReference Include="Magick.NET-Q16-AnyCPU" Version="14.12.0" />
+    <PackageReference Include="Magick.NET.Core" Version="14.12.0" />
     <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
     <PackageReference Include="OpenAI" Version="2.1.0" />
     <PackageReference Include="SixLabors.ImageSharp" Version="3.1.11" />
@@ -40,6 +40,7 @@
     <ProjectReference Include="..\ImageGenerationClasses\ImageGenerationClasses.csproj">
     </ProjectReference>
     <ProjectReference Include="..\RecraftAPI\RecraftAPIClient.csproj" />
+    <ProjectReference Include="..\XAIGrokAPI\XAIGrokAPIClient.csproj" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 8d7e5fb..6eca9a4 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -25,49 +25,104 @@ public class Program
     {
         static async Task Main(string[] args)
         {
-            var settingsFilePath = "settings.json";
+            var options = RunOptions.Parse(args);
+
+            // Look for settings.json in the obvious places so `dotnet run`
+            // works from either the repo root OR the MultiImageClient folder:
+            //   1. current working directory (legacy: run from MultiImageClient\)
+            //   2. CWD\MultiImageClient\settings.json (run from repo root)
+            //   3. next to the exe (AppContext.BaseDirectory)
+            // First one that exists wins. If none do, fall back to the legacy
+            // path so the error message matches the old behavior.
+            var settingsFilePath = ResolveSettingsPath();
             var settings = Settings.LoadFromFile(settingsFilePath);
+
+            if (options.BackfillDl)
+            {
+                DlMirror.Backfill(settings.ImageDownloadBaseFolder, settings.FlatImageMirrorPath);
+                return;
+            }
+
             var concurrency = 1;
             var stats = new MultiClientRunStats();
-            var promptSource = new ReadAllPromptsFromFile(settings, "");
 
-            
+            // REPL mode bypasses the usual prompt-source + workflow menu
+            // entirely — prompts come from stdin one line at a time, fire
+            // off as async tasks, and results are saved silently (no viewer
+            // pops). See ReplWorkflow.cs for the full command set.
+            if (options.Repl)
+            {
+                var repl = new ReplWorkflow(settings, stats, options);
+                await repl.RunAsync();
+                return;
+            }
 
+            AbstractPromptSource promptSource = string.IsNullOrEmpty(options.OverridePrompt)
+                ? new ReadAllPromptsFromFile(settings, "")
+                : new InlinePromptSource(settings, options.OverridePrompt);
 
-            /// -----------------------  APPLYING PROMPTS TO SERVICES ------------------------
+            if (options.GrokShowcase)
+            {
+                // --limit defaults to int.MaxValue; clamp to 10 for the showcase
+                // so the grid stays readable and the cheap tier stays ~$0.20.
+                var showcaseLimit = options.Limit == int.MaxValue ? 10 : options.Limit;
+                var showcase = new GrokShowcaseWorkflow();
+                await showcase.RunAsync(promptSource, settings, stats, pro: options.GrokPro, limit: showcaseLimit);
+                return;
+            }
 
-            while (true)
+            int workflow = options.Workflow;
+            if (workflow == 0)
             {
-                Console.WriteLine($"What do you want to do: \n\n1. Batch Workflow (make a bunch images for each prompt you choose or write yourself)\r\n2. Image2desc2image take an image, then describe it, then batch that out into a bunch of images again.\r\nq. quit");
-                var line = Console.ReadLine();
-                if (line is null)
-                {
-                    Console.WriteLine("stdin closed, exiting.");
-                    return;
-                }
-                var val = line.Trim();
-                if (val == "1")
-                {
-                    var bw = new BatchWorkflow();
-                    await bw.RunAsync(promptSource, settings, concurrency, stats);
-                    break;
-                }
-                else if (val == "2")
-                {
-                    var rw = new RoundTripWorkflow();
-                    await rw.RunAsync(settings, concurrency, stats);
-                    break;
-                }
-                else if (val.Equals("q", StringComparison.OrdinalIgnoreCase))
-                {
-                    Console.WriteLine("quitting.");
-                    return;
-                }
-                else
+                while (workflow == 0)
                 {
-                    Console.WriteLine("not recognized.");
+                    Console.WriteLine($"What do you want to do: \n\n1. Batch Workflow (make a bunch images for each prompt you choose or write yourself)\r\n2. Image2desc2image take an image, then describe it, then batch that out into a bunch of images again.\r\nq. quit");
+                    var line = Console.ReadLine();
+                    if (line is null)
+                    {
+                        Console.WriteLine("stdin closed, exiting.");
+                        return;
+                    }
+                    var val = line.Trim();
+                    if (val == "1") workflow = 1;
+                    else if (val == "2") workflow = 2;
+                    else if (val.Equals("q", StringComparison.OrdinalIgnoreCase))
+                    {
+                        Console.WriteLine("quitting.");
+                        return;
+                    }
+                    else Console.WriteLine("not recognized.");
                 }
             }
+
+            if (workflow == 1)
+            {
+                var bw = new BatchWorkflow();
+                await bw.RunAsync(promptSource, settings, concurrency, stats, options);
+            }
+            else if (workflow == 2)
+            {
+                var rw = new RoundTripWorkflow();
+                await rw.RunAsync(settings, concurrency, stats);
+            }
+        }
+
+        // Searches the obvious places for `settings.json`. Returns "settings.json"
+        // (i.e. relative to CWD, the legacy path) if none of the candidates exist,
+        // which preserves the old error text for anyone used to it.
+        private static string ResolveSettingsPath()
+        {
+            var candidates = new[]
+            {
+                "settings.json",
+                System.IO.Path.Combine("MultiImageClient", "settings.json"),
+                System.IO.Path.Combine(System.AppContext.BaseDirectory, "settings.json"),
+            };
+            foreach (var c in candidates)
+            {
+                if (System.IO.File.Exists(c)) return c;
+            }
+            return "settings.json";
         }
     }
 }
diff --git a/MultiImageClient/RunOptions.cs b/MultiImageClient/RunOptions.cs
new file mode 100644
index 0000000..241b43b
--- /dev/null
+++ b/MultiImageClient/RunOptions.cs
@@ -0,0 +1,172 @@
+using System;
+using System.Collections.Generic;
+
+namespace MultiImageClient
+{
+    /// Command-line options for non-interactive runs. Parsed in
+    /// Program.Main from args. Passing no args keeps the old fully
+    /// interactive behavior.
+    public class RunOptions
+    {
+        /// If true, skip the top-level workflow menu and every per-prompt
+        /// confirmation; auto-accept everything.
+        public bool Auto { get; set; }
+
+        /// Max number of prompts to process. int.MaxValue = no cap.
+        public int Limit { get; set; } = int.MaxValue;
+
+        /// If non-empty, overrides the prompt source: use this single
+        /// prompt instead of reading from PromptFiles.
+        public string OverridePrompt { get; set; } = "";
+
+        /// 1 = Batch, 2 = RoundTrip, 0 = ask interactively.
+        public int Workflow { get; set; }
+
+        /// If true, mirror every image under Settings.ImageDownloadBaseFolder
+        /// into C:\dl and exit. Does not run any workflow.
+        public bool BackfillDl { get; set; }
+
+        /// If true, use the smallest/cheapest/fastest generator set
+        /// (gpt-image-2 low quality, 1024x1024 square, moderation=low).
+        /// Intended for iteration/smoke-testing, not production runs.
+        public bool Fast { get; set; }
+
+        /// If true, use a single gpt-image-2 call per prompt configured for
+        /// maximum interactive feedback: 1024x1024 low quality, moderation=low,
+        /// n=1, and every streamed partial PNG is saved to disk and opened
+        /// with the system default viewer the moment it arrives. Intended for
+        /// human-in-the-loop development where seeing the generation refine
+        /// in real time is the point.
+        public bool QuickTest { get; set; }
+
+        /// If true, start an interactive prompt-by-prompt REPL. Each line is
+        /// either a `:command` or a prompt fired off asynchronously against
+        /// the current active generator set. Up to ReplConcurrency prompts
+        /// run in parallel; results are saved to disk as they arrive and
+        /// NO images are popped open in the default viewer. See ReplWorkflow
+        /// for the command list.
+        public bool Repl { get; set; }
+
+        /// Default gpt-image-2 size for REPL sessions. Can be changed at
+        /// runtime via `:size WxH`. 2048x2048 matches the "large, high
+        /// quality" iteration profile the REPL is designed for.
+        public string ReplSize { get; set; } = "2048x2048";
+
+        /// Default gpt-image-2 quality for REPL sessions. low | medium | high.
+        /// Can be changed at runtime via `:quality <level>`.
+        public string ReplQuality { get; set; } = "high";
+
+        /// Default gpt-image-2 moderation for REPL sessions. auto | low.
+        /// Can be changed at runtime via `:moderation <level>`.
+        public string ReplModeration { get; set; } = "low";
+
+        /// How many prompts can be in flight at once in REPL mode. Higher
+        /// values let you fire prompts faster than the backend completes
+        /// them; the REPL will queue beyond this limit.
+        public int ReplConcurrency { get; set; } = 5;
+
+        /// If true, bypass every other workflow and run GrokShowcaseWorkflow:
+        /// pull the first --limit prompts from the active prompt source, fire
+        /// them at xAI Grok Imagine in parallel, save each, then compose one
+        /// combined grid image and pop it open.
+        public bool GrokShowcase { get; set; }
+
+        /// Pair with --grok-showcase to route through grok-imagine-image-pro
+        /// at 2k resolution instead of the standard grok-imagine-image at 1k.
+        public bool GrokPro { get; set; }
+
+        public static RunOptions Parse(string[] args)
+        {
+            var o = new RunOptions();
+            for (int i = 0; i < args.Length; i++)
+            {
+                var a = args[i];
+                switch (a)
+                {
+                    case "--auto":
+                        o.Auto = true;
+                        // --auto means "just run the default workflow, don't
+                        // prompt me for anything". Default to Batch (1) unless
+                        // --workflow was already passed.
+                        if (o.Workflow == 0) o.Workflow = 1;
+                        break;
+                    case "--limit":
+                        o.Limit = int.Parse(args[++i]);
+                        break;
+                    case "--prompt":
+                        o.OverridePrompt = args[++i];
+                        break;
+                    case "--workflow":
+                        o.Workflow = int.Parse(args[++i]);
+                        break;
+                    case "--backfill-dl":
+                        o.BackfillDl = true;
+                        break;
+                    case "--fast":
+                        o.Fast = true;
+                        break;
+                    case "--quick-test":
+                        o.QuickTest = true;
+                        // Skip the workflow menu (there's only one thing
+                        // quick-test does) but deliberately DO NOT force
+                        // --auto: the user still wants the per-prompt
+                        // y/n/custom loop for iterative work. Pair with
+                        // --auto explicitly for fully unattended runs.
+                        if (o.Workflow == 0) o.Workflow = 1;
+                        break;
+                    case "--repl":
+                        o.Repl = true;
+                        break;
+                    case "--repl-size":
+                        o.ReplSize = args[++i];
+                        break;
+                    case "--repl-quality":
+                        o.ReplQuality = args[++i];
+                        break;
+                    case "--repl-moderation":
+                        o.ReplModeration = args[++i];
+                        break;
+                    case "--repl-concurrency":
+                        o.ReplConcurrency = int.Parse(args[++i]);
+                        break;
+                    case "--grok-showcase":
+                        o.GrokShowcase = true;
+                        break;
+                    case "--grok-pro":
+                        o.GrokPro = true;
+                        break;
+                    case "--help":
+                    case "-h":
+                        PrintUsage();
+                        Environment.Exit(0);
+                        break;
+                    default:
+                        Console.Error.WriteLine($"Unknown argument: {a}");
+                        PrintUsage();
+                        Environment.Exit(2);
+                        break;
+                }
+            }
+            return o;
+        }
+
+        private static void PrintUsage()
+        {
+            Console.WriteLine("Usage: MultiImageClient [--auto] [--workflow 1|2] [--limit N] [--prompt \"...\"]");
+            Console.WriteLine("  --auto            Non-interactive: skip menu, auto-accept every prompt.");
+            Console.WriteLine("  --workflow 1|2    1 = batch, 2 = round-trip. Default: ask.");
+            Console.WriteLine("  --limit N         Stop after N prompts.");
+            Console.WriteLine("  --prompt \"text\"   Use this prompt instead of reading from PromptFiles.");
+            Console.WriteLine("  --backfill-dl     One-shot: mirror all images under ImageDownloadBaseFolder to C:\\dl and exit.");
+            Console.WriteLine("  --fast            Use cheapest/fastest generator set (gpt-image-2 low 1024x1024). Good for smoke tests.");
+            Console.WriteLine("  --quick-test      Like --fast plus: save every streamed partial PNG and open each one in the default viewer as it arrives. Still asks y/n/custom per prompt unless combined with --auto.");
+            Console.WriteLine("  --repl            Interactive prompt-by-prompt REPL. Prompts fire asynchronously (up to --repl-concurrency at a time); NO viewer pops. Commands: :help :size :quality :gens :status :wait :edit :retry :quit.");
+            Console.WriteLine("  --repl-size WxH       REPL session default size for gpt-image-2 (default 2048x2048). Change at runtime with :size WxH.");
+            Console.WriteLine("  --repl-quality L      REPL session default quality: low|medium|high (default high). Change at runtime with :quality <L>.");
+            Console.WriteLine("  --repl-moderation M   REPL session default moderation: auto|low (default low). Change at runtime with :moderation <M>.");
+            Console.WriteLine("  --repl-concurrency N  Max prompts in flight simultaneously in REPL mode (default 5). Change at runtime with :concurrency N.");
+            Console.WriteLine("  --grok-showcase       One-shot: take the first --limit prompts from the active prompt source (--prompt or PromptFiles), fire them at xAI Grok Imagine in parallel, and open a single combined grid image. Default --limit for this mode is 10.");
+            Console.WriteLine("  --grok-pro            Pair with --grok-showcase to route through grok-imagine-image-pro at 2k resolution ($0.07/img, 30 rpm) instead of grok-imagine-image at 1k ($0.02/img, 300 rpm).");
+        }
+    }
+}
diff --git a/MultiImageClient/Utils/ConsolePrefill.cs b/MultiImageClient/Utils/ConsolePrefill.cs
new file mode 100644
index 0000000..2df8a20
--- /dev/null
+++ b/MultiImageClient/Utils/ConsolePrefill.cs
@@ -0,0 +1,86 @@
+using System;
+using System.Runtime.InteropServices;
+
+namespace MultiImageClient
+{
+    /// Windows-only helper that stuffs text into the console input buffer so
+    /// a subsequent <see cref="Console.ReadLine"/> call appears pre-populated
+    /// and editable, exactly as if the user had just typed the characters
+    /// themselves. Used by the REPL's `:random` command to offer a suggested
+    /// prompt that the user can tweak in place before hitting Enter.
+    ///
+    /// The technique is WriteConsoleInputW with a synthesized KEY_DOWN event
+    /// per character (UnicodeChar set, virtual key codes zeroed since cooked
+    /// line input only reads the character). If stdin isn't a console (e.g.
+    /// redirected from a file) we silently no-op; callers should still print
+    /// the suggested text in that case so piped usage stays sensible.
+    internal static class ConsolePrefill
+    {
+        private const int STD_INPUT_HANDLE = -10;
+
+        [StructLayout(LayoutKind.Sequential)]
+        private struct KEY_EVENT_RECORD
+        {
+            public int bKeyDown; // BOOL
+            public ushort wRepeatCount;
+            public ushort wVirtualKeyCode;
+            public ushort wVirtualScanCode;
+            public char UnicodeChar;
+            public uint dwControlKeyState;
+        }
+
+        [StructLayout(LayoutKind.Explicit)]
+        private struct INPUT_RECORD
+        {
+            [FieldOffset(0)] public ushort EventType;
+            // KEY_EVENT_RECORD starts 4 bytes in to match the native union
+            // padding; the rest of the union (mouse/window/etc.) is unused.
+            [FieldOffset(4)] public KEY_EVENT_RECORD KeyEvent;
+        }
+
+        private const ushort KEY_EVENT = 0x0001;
+
+        [DllImport("kernel32.dll", SetLastError = true)]
+        private static extern IntPtr GetStdHandle(int nStdHandle);
+
+        [DllImport("kernel32.dll", SetLastError = true, EntryPoint = "WriteConsoleInputW")]
+        [return: MarshalAs(UnmanagedType.Bool)]
+        private static extern bool WriteConsoleInputW(
+            IntPtr hConsoleInput,
+            [MarshalAs(UnmanagedType.LPArray), In] INPUT_RECORD[] lpBuffer,
+            uint nLength,
+            out uint lpNumberOfEventsWritten);
+
+        /// Push <paramref name="text"/> into stdin as synthesized key events.
+        /// Returns true on success, false if stdin is redirected or the
+        /// Win32 call failed — callers should then fall back to prompting.
+        public static bool TryPrefill(string text)
+        {
+            if (string.IsNullOrEmpty(text)) return true;
+            if (Console.IsInputRedirected) return false;
+
+            var handle = GetStdHandle(STD_INPUT_HANDLE);
+            if (handle == IntPtr.Zero || handle == new IntPtr(-1)) return false;
+
+            var records = new INPUT_RECORD[text.Length];
+            for (int i = 0; i < text.Length; i++)
+            {
+                records[i] = new INPUT_RECORD
+                {
+                    EventType = KEY_EVENT,
+                    KeyEvent = new KEY_EVENT_RECORD
+                    {
+                        bKeyDown = 1,
+                        wRepeatCount = 1,
+                        wVirtualKeyCode = 0,
+                        wVirtualScanCode = 0,
+                        UnicodeChar = text[i],
+                        dwControlKeyState = 0,
+                    }
+                };
+            }
+
+            return WriteConsoleInputW(handle, records, (uint)records.Length, out _);
+        }
+    }
+}
diff --git a/MultiImageClient/Utils/PromptLogger.cs b/MultiImageClient/Utils/PromptLogger.cs
index 3d3c43e..13f55e0 100644
--- a/MultiImageClient/Utils/PromptLogger.cs
+++ b/MultiImageClient/Utils/PromptLogger.cs
@@ -1,19 +1,5 @@
-//using GenerativeAI.Types.RagEngine;
-
-
-//using OpenAI.Images;
-
-//using RecraftAPIClient;
-
-using System;
-//using System.Collections.Generic;
-//using System.Diagnostics.Metrics;
-//using System.Drawing.Printing;
+using System;
 using System.IO;
-//using System.Linq;
-//using System.Reflection.Metadata.Ecma335;
-//using System.Runtime;
-//using System.Security.Cryptography.X509Certificates;
 using System.Text.Json;
 
 namespace MultiImageClient
@@ -41,5 +27,70 @@ public static void LogPrompt(string prompt)
                 Logger.Log($"Failed to write to prompt log: {ex.Message}");
             }
         }
+
+        /// Appends a freshly-typed prompt to the configured human-readable
+        /// prompts file (Settings.TypedPromptsAppendFile) as a single line.
+        /// No-op when the setting is blank. Never throws — on any failure
+        /// we just log and move on, because losing one entry must not break
+        /// a batch.
+        ///
+        /// Carefulness contract:
+        ///   - Trims whitespace.
+        ///   - Collapses any embedded CR/LF into a single space so one
+        ///     prompt is always exactly one line on disk (users can paste
+        ///     multi-line prompts without splitting the file).
+        ///   - Skips blank / whitespace-only prompts.
+        ///   - Creates the parent directory if the user gave a nested path.
+        ///   - If the file exists and doesn't already end in a newline (can
+        ///     happen after a hand-edit), inserts a leading newline so the
+        ///     new prompt doesn't get glued onto the previous last line.
+        ///   - Always ends the appended line with a single Environment.NewLine.
+        public static void AppendPromptLine(string prompt, string filePath)
+        {
+            if (string.IsNullOrWhiteSpace(filePath)) return;
+            if (string.IsNullOrWhiteSpace(prompt)) return;
+
+            try
+            {
+                // Collapse any internal newlines so the file remains strictly
+                // one-prompt-per-line regardless of what got pasted.
+                var single = prompt
+                    .Replace("\r\n", " ")
+                    .Replace('\r', ' ')
+                    .Replace('\n', ' ')
+                    .Trim();
+                if (single.Length == 0) return;
+
+                // Only create the parent directory when the user actually
+                // specified one (a bare filename yields "" from
+                // GetDirectoryName and we deliberately don't touch the CWD).
+                var dir = Path.GetDirectoryName(filePath);
+                if (!string.IsNullOrEmpty(dir))
+                {
+                    Directory.CreateDirectory(dir);
+                }
+
+                // Defensive: if the file exists and its last byte isn't a
+                // newline, prepend one so we don't accidentally concat onto
+                // an unterminated last line (happens with hand-edited files).
+                string leading = "";
+                if (File.Exists(filePath))
+                {
+                    using var fs = new FileStream(filePath, FileMode.Open, FileAccess.Read, FileShare.ReadWrite);
+                    if (fs.Length > 0)
+                    {
+                        fs.Seek(-1, SeekOrigin.End);
+                        int last = fs.ReadByte();
+                        if (last != '\n') leading = Environment.NewLine;
+                    }
+                }
+
+                File.AppendAllText(filePath, leading + single + Environment.NewLine);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"PromptLogger.AppendPromptLine: failed to append to '{filePath}': {ex.Message}");
+            }
+        }
     }
 }
diff --git a/MultiImageClient/Utils/UIConstants.cs b/MultiImageClient/Utils/UIConstants.cs
index e943aa6..623211d 100644
--- a/MultiImageClient/Utils/UIConstants.cs
+++ b/MultiImageClient/Utils/UIConstants.cs
@@ -19,5 +19,8 @@ public static class UIConstants
         public static readonly Color PlaceholderFill = Color.FromRgb(240, 240, 240);
         public static readonly Color PlaceholderBorder = Color.FromRgb(200, 200, 200);
         public static readonly Color Gold = Color.FromRgb(255, 215, 0);
+        // We do NOT use gray for text. See AGENTS.md > Visual & Typography Policy.
+        // Secondary labels must get their visual hierarchy from smaller font size and/or
+        // by reusing the existing semantic color (SuccessGreen, ErrorRed, Black, Gold).
     }
 }
diff --git a/MultiImageClient/Workflows/BatchWorkflow.cs b/MultiImageClient/Workflows/BatchWorkflow.cs
index 76adca8..2cd8c84 100644
--- a/MultiImageClient/Workflows/BatchWorkflow.cs
+++ b/MultiImageClient/Workflows/BatchWorkflow.cs
@@ -10,37 +10,49 @@ namespace MultiImageClient
     /// labelled grid image per prompt.
     public class BatchWorkflow
     {
-        public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings settings, int concurrency, MultiClientRunStats stats)
+        public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings settings, int concurrency, MultiClientRunStats stats, RunOptions options = null)
         {
-            var generators = new GeneratorGroups(settings, concurrency, stats).GetAll().ToList();
+            options ??= new RunOptions();
+            var generators = new GeneratorGroups(settings, concurrency, stats, fast: options.Fast, quickTest: options.QuickTest).GetAll().ToList();
             var imageManager = new ImageManager(settings, stats);
 
+            int processed = 0;
             foreach (var promptString in promptSource.Prompts)
             {
-                Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
-
-                System.Console.WriteLine("\nDo you accept this? y for yes, n for skip, or type the prompt you want directly and hit enter. (q to quit)");
-                var val = System.Console.ReadLine();
-                if (val == null)
+                if (processed >= options.Limit)
                 {
-                    Logger.Log("stdin closed; ending batch.");
+                    Logger.Log($"--limit {options.Limit} reached; stopping batch.");
                     return true;
                 }
-                val = val.Trim();
 
-                if (val == "q")
-                {
-                    return true;
-                }
-                if (val == "n")
-                {
-                    continue;
-                }
-                if (val.Length > 0 && val != "y")
+                Logger.Log($"\n--- Processing prompt: {promptString.Prompt}");
+
+                if (!options.Auto)
                 {
-                    PromptLogger.LogPrompt(val);
-                    promptString.UndoLastStep();
-                    promptString.ReplacePrompt(val, "explanation", TransformationType.InitialPrompt);
+                    System.Console.WriteLine("\nDo you accept this? y for yes, n for skip, or type the prompt you want directly and hit enter. (q to quit)");
+                    var val = System.Console.ReadLine();
+                    if (val == null)
+                    {
+                        Logger.Log("stdin closed; ending batch.");
+                        return true;
+                    }
+                    val = val.Trim();
+
+                    if (val == "q")
+                    {
+                        return true;
+                    }
+                    if (val == "n")
+                    {
+                        continue;
+                    }
+                    if (val.Length > 0 && val != "y")
+                    {
+                        PromptLogger.LogPrompt(val);
+                        PromptLogger.AppendPromptLine(val, settings.TypedPromptsAppendFile);
+                        promptString.UndoLastStep();
+                        promptString.ReplacePrompt(val, "explanation", TransformationType.InitialPrompt);
+                    }
                 }
 
                 if (promptString.Prompt.Length == 0)
@@ -48,6 +60,7 @@ public async Task<bool> RunAsync(AbstractPromptSource promptSource, Settings set
                     System.Console.WriteLine("empty prompt, skipping.");
                     continue;
                 }
+                processed++;
 
                 var generatorTasks = generators.Select(async generator =>
                 {
diff --git a/MultiImageClient/Workflows/GeneratorGroups.cs b/MultiImageClient/Workflows/GeneratorGroups.cs
index 5555619..79b7ab3 100644
--- a/MultiImageClient/Workflows/GeneratorGroups.cs
+++ b/MultiImageClient/Workflows/GeneratorGroups.cs
@@ -25,25 +25,51 @@ public class GeneratorGroups
         private readonly Settings _settings;
         private readonly int _concurrency;
         private readonly MultiClientRunStats _stats;
+        private readonly bool _fast;
+        private readonly bool _quickTest;
 
-        public GeneratorGroups(Settings settings, int concurrency, MultiClientRunStats stats)
+        public GeneratorGroups(Settings settings, int concurrency, MultiClientRunStats stats, bool fast = false, bool quickTest = false)
         {
             _settings = settings;
             _concurrency = concurrency;
             _stats = stats;
+            _fast = fast;
+            _quickTest = quickTest;
         }
 
         /// The active generator set for the current run.
         /// Edit this list to pick which generators hit each prompt.
         ///
-        /// CURRENT MODE: gpt-image-2 smoke test — a single variant per prompt
-        /// so we can watch one request/response at a time.
+        /// DEFAULT MODE: gpt-image-2 random-AR + random-quality with moderation=low.
+        /// Each call rolls a fresh {square|portrait|landscape} x {low|medium|high}
+        /// so a single batch exercises the full option space of the endpoint.
+        ///
+        /// FAST MODE (--fast): a single fixed gpt-image-2 low/square/moderation=low
+        /// call per prompt — cheapest (~$0.02) and usually completes in 10-15s.
+        /// Intended for iteration and smoke-testing, not production runs.
         public IEnumerable<IImageGenerator> GetAll()
         {
+            if (_quickTest)
+            {
+                return new List<IImageGenerator>
+                {
+                    GptImage2QuickTest(),
+                };
+            }
+
+            if (_fast)
+            {
+                return new List<IImageGenerator>
+                {
+                    GptImage2FastTest(),
+                };
+            }
+
             return new List<IImageGenerator>
             {
-                GptImage2HighSquare(),
-                // --- other gpt-image-2 variants, enable once square is confirmed ---
+                GptImage2RandomMinimalSafety(),
+                // --- fixed gpt-image-2 variants, useful for targeted tests ---
+                // GptImage2HighSquare(),
                 // GptImage2MediumPortrait(),
                 // GptImage2HighWide(),
                 // GptImage2High2K(),
@@ -54,9 +80,20 @@ public IEnumerable<IImageGenerator> GetAll()
                 // GptImageMiniHighWide(),
                 // --- non-OpenAI providers (require extra keys in settings.json) ---
                 // Ideogram_V3_Wide_Quality(),
-                // RecraftAnyStyle(),
+                // RecraftV4AnyStyle(),
                 // BFLv11_3_2(),
                 // BFLv11Ultra_1_1(),
+                // BFLFlux2Pro_Square(),
+                // BFLFlux2Max_Square(),
+                // BFLFlux2Flex_Square(),       // typography-tuned; enable when you have text prompts
+                // BFLFlux2Klein9b_Square(),    // sub-second cheap draft variant
+                // RecraftV4ProRealisticPortrait(),
+                // RecraftAnyStyle(),           // legacy V3
+                // xAI Grok Imagine (launched 2026-01-28). Pro is 3.5x the price
+                // (~$0.07 vs $0.02) and rate-limited to 30 rpm vs 300 rpm, so
+                // we default to the cheap tier here and keep Pro as a toggle.
+                GrokImagine_Square(),
+                // GrokImaginePro_Square(),
                 // GeminiNanoBanana(),
                 // GoogleImagen4_2_5(),
             };
@@ -85,9 +122,47 @@ private GptImageOneGenerator GptImageMiniHighWide() =>
                 ImageGeneratorApiType.GptImage1Mini, _stats, "");
 
         // ---------- OpenAI: gpt-image-2 (released 2026-04-21) ----------
-        // Quality must be low/medium/high (no "auto"). Size can be any of
-        // 1024x1024, 1536x1024, 1024x1536, 2048x2048, 2048x1152, 3840x2160,
-        // 2160x3840, or "auto". Moderation is optional ("" means don't send).
+        // Quality: low / medium / high / auto.
+        // Size can be any of 1024x1024, 1536x1024, 1024x1536, 2048x2048,
+        // 2048x1152, 3840x2160, 2160x3840, or "auto". Moderation is "auto"
+        // (default) or "low" (minimal safety, permissible content only).
+        //
+        // Default for batch runs: random AR x random quality with moderation="low".
+        // The size pool sticks to the three canonical 1024-edge aspect ratios so
+        // per-call cost stays bounded. Quality pool is low/medium/high (no "auto"
+        // — we want explicit control and predictable billing).
+        // --fast: lowest quality, smallest size, permissive moderation. Deterministic
+        // fixed variant so test runs are cheap and consistent across invocations.
+        private GptImage2Generator GptImage2FastTest() =>
+            new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
+                "1024x1024", "low", OpenAIGPTImageOneQuality.low, _stats, "fast");
+
+        // --quick-test: identical cheapest config as --fast, but saves each
+        // streamed partial PNG under the day folder and pops it up in the
+        // default image viewer as it arrives. Intended for interactive
+        // development where watching the refinement trajectory is the point.
+        private GptImage2Generator GptImage2QuickTest() =>
+            new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
+                sizePool: new[] { "1024x1024" },
+                moderation: "low",
+                qualityPool: new[] { OpenAIGPTImageOneQuality.low },
+                stats: _stats,
+                name: "quick",
+                partialSaveFolder: _settings.ImageDownloadBaseFolder,
+                popUpPartials: true);
+
+        private GptImage2Generator GptImage2RandomMinimalSafety() =>
+            new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
+                sizePool: new[] { "1024x1024", "1024x1536", "1536x1024" },
+                moderation: "low",
+                qualityPool: new[]
+                {
+                    OpenAIGPTImageOneQuality.low,
+                    OpenAIGPTImageOneQuality.medium,
+                    OpenAIGPTImageOneQuality.high,
+                },
+                stats: _stats, name: "");
+
         private GptImage2Generator GptImage2HighSquare() =>
             new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
                 "1024x1024", "", OpenAIGPTImageOneQuality.high, _stats, "");
@@ -136,6 +211,37 @@ private BFLGenerator BFLv11Ultra_3_2_Upsampled() =>
             new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra, _settings.BFLApiKey,
                 _concurrency, "3:2", true, 1024, 1024, _stats, "");
 
+        // ---------- Black Forest Labs (FLUX.2 — current generation) ----------
+        //
+        // FLUX.2 is megapixel-priced. 1024x1024 is roughly 1 MP so the per-image
+        // cost tracks the headline rate in the docs (pro $0.03, max $0.07, etc.).
+        // Klein is the cheap fast tier; flex is the typography-tuned variant with
+        // adjustable steps/guidance (BFLGenerator sets sensible defaults).
+
+        private BFLGenerator BFLFlux2Pro_Square() =>
+            new BFLGenerator(ImageGeneratorApiType.BFLFlux2Pro, _settings.BFLApiKey,
+                _concurrency, "1:1", false, 1024, 1024, _stats, "");
+
+        private BFLGenerator BFLFlux2Pro_Wide() =>
+            new BFLGenerator(ImageGeneratorApiType.BFLFlux2Pro, _settings.BFLApiKey,
+                _concurrency, "16:9", false, 1536, 864, _stats, "");
+
+        private BFLGenerator BFLFlux2Max_Square() =>
+            new BFLGenerator(ImageGeneratorApiType.BFLFlux2Max, _settings.BFLApiKey,
+                _concurrency, "1:1", false, 1024, 1024, _stats, "");
+
+        private BFLGenerator BFLFlux2Flex_Square() =>
+            new BFLGenerator(ImageGeneratorApiType.BFLFlux2Flex, _settings.BFLApiKey,
+                _concurrency, "1:1", false, 1024, 1024, _stats, "");
+
+        private BFLGenerator BFLFlux2Klein4b_Square() =>
+            new BFLGenerator(ImageGeneratorApiType.BFLFlux2Klein4b, _settings.BFLApiKey,
+                _concurrency, "1:1", false, 1024, 1024, _stats, "");
+
+        private BFLGenerator BFLFlux2Klein9b_Square() =>
+            new BFLGenerator(ImageGeneratorApiType.BFLFlux2Klein9b, _settings.BFLApiKey,
+                _concurrency, "1:1", false, 1024, 1024, _stats, "");
+
         // ---------- Recraft ----------
 
         private RecraftGenerator RecraftAnyStyle() =>
@@ -155,6 +261,82 @@ private RecraftGenerator RecraftVectorLineArt() =>
                 RecraftVectorIllustrationSubstyle.line_art, null, null,
                 _stats, "");
 
+        // ---------- Recraft V4 (drop-in upgrade over V3) ----------
+        // V4 raster is priced identically to V3 at $0.04/image and claims better
+        // prompt adherence + text rendering. V4 Pro is $0.25 for high-res, print-
+        // ready output. Pass model: RecraftModel.recraftv4 or .recraftv4pro to
+        // RecraftGenerator and everything else (style/substyle/artistic_level)
+        // works the same.
+
+        private RecraftGenerator RecraftV4AnyStyle() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._1365x1024, RecraftStyle.any, null, null, null,
+                _stats, "", model: RecraftModel.recraftv4);
+
+        private RecraftGenerator RecraftV4RealisticStudioPortrait() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._2048x1024, RecraftStyle.realistic_image,
+                null, null, RecraftRealisticImageSubstyle.studio_portrait,
+                _stats, "", model: RecraftModel.recraftv4);
+
+        private RecraftGenerator RecraftV4VectorLineArt() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._1365x1024, RecraftStyle.vector_illustration,
+                RecraftVectorIllustrationSubstyle.line_art, null, null,
+                _stats, "", model: RecraftModel.recraftv4);
+
+        private RecraftGenerator RecraftV4ProRealisticPortrait() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._2048x1024, RecraftStyle.realistic_image,
+                null, null, RecraftRealisticImageSubstyle.studio_portrait,
+                _stats, "", model: RecraftModel.recraftv4pro);
+
+        private RecraftGenerator RecraftV4ProAnyStyle() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._1365x1024, RecraftStyle.any, null, null, null,
+                _stats, "", model: RecraftModel.recraftv4pro);
+
+        // ---------- xAI Grok Imagine ----------
+        //
+        // Two tiers, same REST endpoint:
+        //   grok-imagine-image       $0.02/image, 300 rpm
+        //   grok-imagine-image-pro   $0.07/image,  30 rpm
+        //
+        // aspect_ratio accepts the xAI-documented set ("1:1", "3:4", "4:3",
+        // "16:9", "9:16", "2:3", "3:2", "9:19.5", "19.5:9", "9:20", "20:9",
+        // "1:2", "2:1", "auto"). quality is low|medium|high; resolution is
+        // 1k|2k. All other knobs (size, style) are explicitly unsupported by
+        // the xAI API and we do not send them.
+
+        // Standard-tier Grok Imagine defaults to the maximum quality and
+        // resolution this tier supports (high + 2k). Per xAI's pricing page
+        // resolution doesn't affect per-image price on the standard tier
+        // ($0.02 flat), so 2k is a free upgrade over 1k.
+        public GrokImagineGenerator GrokImagine_Square() =>
+            new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
+                ImageGeneratorApiType.GrokImagine, _stats, "",
+                aspectRatio: "1:1", quality: "high", resolution: "2k");
+
+        public GrokImagineGenerator GrokImagine_Wide() =>
+            new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
+                ImageGeneratorApiType.GrokImagine, _stats, "",
+                aspectRatio: "16:9", quality: "high", resolution: "2k");
+
+        public GrokImagineGenerator GrokImagine_Portrait() =>
+            new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
+                ImageGeneratorApiType.GrokImagine, _stats, "",
+                aspectRatio: "3:4", quality: "high", resolution: "2k");
+
+        public GrokImagineGenerator GrokImaginePro_Square() =>
+            new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
+                ImageGeneratorApiType.GrokImaginePro, _stats, "",
+                aspectRatio: "1:1", quality: "high", resolution: "2k");
+
+        public GrokImagineGenerator GrokImaginePro_Portrait() =>
+            new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
+                ImageGeneratorApiType.GrokImaginePro, _stats, "",
+                aspectRatio: "3:4", quality: "high", resolution: "2k");
+
         // ---------- Google ----------
 
         private GoogleGenerator GeminiNanoBanana() =>
diff --git a/MultiImageClient/Workflows/GrokShowcaseWorkflow.cs b/MultiImageClient/Workflows/GrokShowcaseWorkflow.cs
new file mode 100644
index 0000000..ec72917
--- /dev/null
+++ b/MultiImageClient/Workflows/GrokShowcaseWorkflow.cs
@@ -0,0 +1,142 @@
+#nullable enable
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    /// One-shot "showcase" runner: fires N prompts at a single image generator
+    /// (xAI Grok Imagine) in parallel, saves each result via the normal
+    /// ImageManager pipeline, then composes ALL results into a single combined
+    /// grid image (one cell per prompt) and pops that combined image open in
+    /// the default viewer.
+    ///
+    /// Used for provider-acceptance smoke tests — e.g. "take the first N
+    /// prompts from the current prompt source, send each one through Grok,
+    /// give me one image to eyeball".
+    ///
+    /// Prompts come from the caller-provided AbstractPromptSource (just like
+    /// BatchWorkflow) — no prompts are hardcoded here.
+    public class GrokShowcaseWorkflow
+    {
+        /// <param name="pro">If true, routes through grok-imagine-image-pro
+        ///   ($0.07/img, 30 rpm) at 2k resolution. Otherwise uses
+        ///   grok-imagine-image ($0.02/img, 300 rpm) at 1k.</param>
+        /// <param name="limit">Max number of prompts from <paramref name="promptSource"/>
+        ///   to run. Defaults to 10, which fits comfortably in the combined
+        ///   grid and costs $0.20 on the cheap tier.</param>
+        public async Task<string?> RunAsync(
+            AbstractPromptSource promptSource,
+            Settings settings,
+            MultiClientRunStats stats,
+            bool pro = false,
+            int limit = 10)
+        {
+            if (string.IsNullOrWhiteSpace(settings.XAIGrokApiKey))
+            {
+                Console.Error.WriteLine("Grok showcase aborted: settings.json is missing XAIGrokApiKey.");
+                return null;
+            }
+
+            var prompts = promptSource.Prompts
+                .Select(p => p.Prompt)
+                .Where(s => !string.IsNullOrWhiteSpace(s))
+                .Take(Math.Max(0, limit))
+                .ToList();
+
+            if (prompts.Count == 0)
+            {
+                Console.Error.WriteLine(
+                    "Grok showcase aborted: prompt source produced no prompts. "
+                    + "Supply --prompt \"...\" or point PromptFiles at a readable file.");
+                return null;
+            }
+
+            var concurrency = pro ? 2 : 5;
+            var apiType = pro ? ImageGeneratorApiType.GrokImaginePro : ImageGeneratorApiType.GrokImagine;
+
+            var generator = new GrokImagineGenerator(
+                settings.XAIGrokApiKey,
+                concurrency,
+                apiType,
+                stats,
+                name: "",
+                aspectRatio: "1:1",
+                quality: "high",
+                resolution: "2k");
+
+            var imageManager = new ImageManager(settings, stats);
+            var modelLabel = pro ? "grok-imagine-image-pro" : "grok-imagine-image";
+            Logger.Log($"Grok showcase: firing {prompts.Count} prompts at {modelLabel} (concurrency={concurrency}).");
+
+            var tasks = prompts.Select(async promptText =>
+            {
+                var pd = new PromptDetails();
+                pd.ReplacePrompt(promptText, promptText, TransformationType.InitialPrompt);
+                try
+                {
+                    var result = await generator.ProcessPromptAsync(generator, pd);
+                    await imageManager.ProcessAndSaveAsync(result, generator);
+                    var label = result.IsSuccess ? "OK" : $"FAIL ({result.ErrorMessage})";
+                    Logger.Log($"Grok showcase :: {label} :: {Trim(promptText, 80)}");
+                    return result;
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Grok showcase :: EXCEPTION on prompt '{Trim(promptText, 80)}': {ex.Message}");
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = ex.Message,
+                        PromptDetails = pd,
+                        ImageGenerator = apiType,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    };
+                }
+            }).ToArray();
+
+            stats.PrintStats();
+            var results = await Task.WhenAll(tasks);
+            stats.PrintStats();
+
+            var okCount = results.Count(r => r.IsSuccess);
+            Logger.Log($"Grok showcase: {okCount}/{results.Length} succeeded.");
+
+            // Build a single combined grid image that contains EVERY prompt's
+            // result (not one-grid-per-prompt like BatchWorkflow). The prompt
+            // panel underneath lists the sub-prompts so the popped-open image
+            // is self-documenting.
+            var combinedPromptRecap = BuildRecapString(prompts, modelLabel);
+
+            try
+            {
+                var outPath = await ImageCombiner.CreateBatchLayoutImageSquareAsync(
+                    results,
+                    combinedPromptRecap,
+                    settings,
+                    openWhenDone: true);
+                Logger.Log($"Grok showcase combined image: {outPath}");
+                return outPath;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Grok showcase: failed to build combined image: {ex.Message}");
+                return null;
+            }
+        }
+
+        private static string BuildRecapString(IReadOnlyList<string> prompts, string modelLabel)
+        {
+            var header = $"Grok showcase ({modelLabel}) - {prompts.Count} prompts:";
+            var lines = prompts.Select((p, i) => $"{i + 1}. {Trim(p, 180)}");
+            return header + "\n\n" + string.Join("\n", lines);
+        }
+
+        private static string Trim(string s, int max)
+        {
+            if (string.IsNullOrEmpty(s)) return s ?? string.Empty;
+            return s.Length <= max ? s : s.Substring(0, max - 1) + "...";
+        }
+    }
+}
diff --git a/MultiImageClient/Workflows/ReplWorkflow.cs b/MultiImageClient/Workflows/ReplWorkflow.cs
new file mode 100644
index 0000000..36dbbf8
--- /dev/null
+++ b/MultiImageClient/Workflows/ReplWorkflow.cs
@@ -0,0 +1,865 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Threading;
+using System.Threading.Tasks;
+
+using BFLAPIClient;
+using IdeogramAPIClient;
+using OpenAI.Images;
+using RecraftAPIClient;
+
+namespace MultiImageClient
+{
+    /// Interactive prompt-by-prompt REPL with asynchronous dispatch.
+    ///
+    /// Each non-empty stdin line is either:
+    ///   - a `:command` (size / quality / gens / status / wait / edit / retry / quit / ...)
+    ///   - a prompt, which is fired off as a Task against the current active
+    ///     generator set and returned to the caller immediately so they can
+    ///     keep typing.
+    ///
+    /// Up to <see cref="RunOptions.ReplConcurrency"/> prompts are in flight at
+    /// once; extra prompts queue on a <see cref="SemaphoreSlim"/>. Results are
+    /// saved to disk as they arrive via the existing <see cref="ImageManager"/>
+    /// pipeline (so filenames, the Label-annotated copy, FlatImageMirror copy,
+    /// and json logs all behave exactly as in Batch). Unlike Batch, no
+    /// per-prompt combined-grid image is popped open — the grid is still
+    /// built and saved, but the viewer launch is suppressed.
+    ///
+    /// Session state the user can mutate at runtime:
+    ///   - gpt-image-2 size / quality / moderation (rebuilds the gpt2 slot)
+    ///   - the active generator set (add / remove by name from a fixed catalog)
+    ///   - concurrency limit (takes effect for subsequent dispatches)
+    ///
+    /// Design notes:
+    ///   - The `_active` dictionary is snapshotted into a List at dispatch time
+    ///     so mutations after a prompt has been submitted never affect an
+    ///     in-flight job.
+    ///   - Per-prompt overrides like `[size=1024x1024,q=low] <prompt text>` are
+    ///     parsed off the front of the line; unrecognized keys cause the line
+    ///     to be treated as a plain prompt.
+    public class ReplWorkflow
+    {
+        private readonly Settings _settings;
+        private readonly MultiClientRunStats _stats;
+        private readonly ImageManager _imageManager;
+
+        private readonly object _lock = new object();
+        private int _nextId = 0;
+        private readonly List<InFlight> _inFlight = new List<InFlight>();
+        private string _lastPrompt;
+
+        // Lazily loaded pool of prompts read from Settings.PromptFiles /
+        // LoadPromptsFrom, used by the `:random` command. Null until the
+        // first :random call; a null-but-asked result means "no files /
+        // no lines" and is surfaced to the user.
+        private List<string> _promptPool;
+
+        // Session defaults for the gpt-image-2 slot. Editing any of these
+        // rebuilds the "gpt2" entry in _active (if present).
+        private string _size;
+        private string _quality;
+        private string _moderation;
+        private int _concurrency;
+        private SemaphoreSlim _concurrencyLimit;
+
+        // Active generator set, keyed by short name (e.g. "gpt2", "ideogram").
+        // Order is preserved for deterministic grid layout.
+        private readonly Dictionary<string, IImageGenerator> _active =
+            new Dictionary<string, IImageGenerator>(StringComparer.OrdinalIgnoreCase);
+
+        // Catalog of known per-name factories. ':gens add <name>' looks here.
+        // Keep in sync with PrintHelp()'s generator list.
+        private static readonly string[] KnownGenerators =
+            { "gpt2", "grok", "grokpro", "dalle3", "ideogram", "recraft", "bfl", "google", "imagen4" };
+
+        private class InFlight
+        {
+            public int Id;
+            public string Prompt;
+            public DateTime StartedAt;
+            public Task Task;
+        }
+
+        public ReplWorkflow(Settings settings, MultiClientRunStats stats, RunOptions options)
+        {
+            _settings = settings;
+            _stats = stats;
+            _imageManager = new ImageManager(settings, stats);
+
+            // Preflight the REPL default size so bad --repl-size values get
+            // caught at startup instead of after we've built a generator that
+            // will fail on every call.
+            var startSize = string.IsNullOrWhiteSpace(options.ReplSize) ? "2048x2048" : options.ReplSize;
+            _size = NormalizeSizeOrFallback(startSize, "2048x2048", "--repl-size");
+            _quality = string.IsNullOrWhiteSpace(options.ReplQuality) ? "high" : options.ReplQuality;
+            _moderation = string.IsNullOrWhiteSpace(options.ReplModeration) ? "low" : options.ReplModeration;
+            _concurrency = options.ReplConcurrency < 1 ? 1 : options.ReplConcurrency;
+            _concurrencyLimit = new SemaphoreSlim(_concurrency);
+
+            // Default active set: gpt-image-2 + Grok Imagine (standard tier).
+            // Both fire in parallel for each dispatched prompt. Grok is only
+            // added if an API key is present so the REPL still works on
+            // gpt-only setups. Users can :gens add / remove at runtime.
+            _active["gpt2"] = BuildGpt2(_size, _quality, _moderation);
+            if (!string.IsNullOrWhiteSpace(_settings.XAIGrokApiKey))
+            {
+                _active["grok"] = BuildNamed("grok");
+            }
+        }
+
+        public async Task RunAsync()
+        {
+            PrintBanner();
+            PrintHelp();
+            PrintShow();
+            Console.WriteLine();
+
+            while (true)
+            {
+                var line = Console.ReadLine();
+                if (line is null)
+                {
+                    Console.WriteLine("(stdin closed; waiting for in-flight jobs then exiting)");
+                    break;
+                }
+                line = line.Trim();
+                if (line.Length == 0) continue;
+
+                if (line.StartsWith(":"))
+                {
+                    var exit = await HandleCommandAsync(line);
+                    if (exit) break;
+                    continue;
+                }
+
+                // Bare exit aliases (no leading colon). These win over the
+                // short-prompt guard so users don't get prompted to confirm
+                // that yes, they really did mean to quit.
+                var lower = line.ToLowerInvariant();
+                if (lower == "q" || lower == "x" || lower == "exit" || lower == "quit")
+                {
+                    break;
+                }
+
+                // Typing `foo` or `bug` is almost always a mistake — a real
+                // prompt is meaningfully longer. Treat anything under 5 chars
+                // (after stripping any `[size=..]`-style override prefix) as
+                // suspicious and require explicit confirmation before burning
+                // an API call on it.
+                var (_, _, promptOnly) = ParseOverrides(line);
+                if ((promptOnly ?? "").Trim().Length < 5)
+                {
+                    Console.Write($"short prompt ({(promptOnly ?? "").Trim().Length} chars): '{line}'. Send anyway? [y/N] ");
+                    var confirm = Console.ReadLine();
+                    if (confirm == null) break;
+                    var c = confirm.Trim().ToLowerInvariant();
+                    if (c != "y" && c != "yes")
+                    {
+                        Console.WriteLine("(skipped)");
+                        continue;
+                    }
+                }
+
+                DispatchPrompt(line);
+            }
+
+            await WaitAllAsync();
+            Console.WriteLine("REPL finished.");
+        }
+
+        // ---------------------------------------------------------------
+        // Command handling
+        // ---------------------------------------------------------------
+
+        // Returns true if the REPL should exit after this command.
+        private async Task<bool> HandleCommandAsync(string line)
+        {
+            var parts = line.Split(' ', 2, StringSplitOptions.RemoveEmptyEntries);
+            var cmd = parts[0].TrimStart(':').ToLowerInvariant();
+            var arg = parts.Length > 1 ? parts[1].Trim() : "";
+
+            switch (cmd)
+            {
+                case "help":
+                case "h":
+                case "?":
+                    PrintHelp();
+                    return false;
+
+                case "show":
+                    PrintShow();
+                    return false;
+
+                case "size":
+                    if (string.IsNullOrEmpty(arg)) { Console.WriteLine($"size = {_size}"); return false; }
+                    if (!GptImage2Generator.TryNormalizeSize(arg, out var sized, out var sizeNote, out var sizeErr))
+                    {
+                        Console.WriteLine($"(size rejected: {sizeErr}. kept {_size})");
+                        return false;
+                    }
+                    if (sizeNote != null) Console.WriteLine($"(size {sizeNote})");
+                    _size = sized;
+                    RebuildGpt2IfActive();
+                    Console.WriteLine($"size = {_size}");
+                    return false;
+
+                case "quality":
+                case "q":
+                    if (string.IsNullOrEmpty(arg)) { Console.WriteLine($"quality = {_quality}"); return false; }
+                    _quality = arg;
+                    RebuildGpt2IfActive();
+                    Console.WriteLine($"quality = {_quality}");
+                    return false;
+
+                case "moderation":
+                case "mod":
+                    if (string.IsNullOrEmpty(arg)) { Console.WriteLine($"moderation = {_moderation}"); return false; }
+                    _moderation = arg;
+                    RebuildGpt2IfActive();
+                    Console.WriteLine($"moderation = {_moderation}");
+                    return false;
+
+                case "concurrency":
+                    if (int.TryParse(arg, out var n) && n >= 1)
+                    {
+                        _concurrency = n;
+                        // SemaphoreSlim isn't resizable; swap in a fresh one.
+                        // In-flight tasks still hold permits on the old
+                        // instance — that's fine, they'll release on the old
+                        // semaphore which then gets garbage-collected. Only
+                        // subsequent dispatches see the new limit.
+                        _concurrencyLimit = new SemaphoreSlim(_concurrency);
+                        Console.WriteLine($"concurrency = {_concurrency}");
+                    }
+                    else Console.WriteLine("usage: :concurrency N  (N >= 1)");
+                    return false;
+
+                case "gens":
+                    HandleGensCommand(arg);
+                    return false;
+
+                case "status":
+                    PrintStatus();
+                    return false;
+
+                case "wait":
+                    await WaitAllAsync();
+                    return false;
+
+                case "last":
+                    Console.WriteLine(string.IsNullOrEmpty(_lastPrompt) ? "(no prior prompt)" : _lastPrompt);
+                    return false;
+
+                case "retry":
+                    if (string.IsNullOrEmpty(_lastPrompt))
+                    {
+                        Console.WriteLine("(no prior prompt)");
+                    }
+                    else
+                    {
+                        DispatchPrompt(_lastPrompt);
+                    }
+                    return false;
+
+                case "random":
+                case "r":
+                    HandleRandomPrompt();
+                    return false;
+
+                case "edit":
+                    if (string.IsNullOrEmpty(_lastPrompt))
+                    {
+                        Console.WriteLine("(no prior prompt to edit)");
+                        return false;
+                    }
+                    Console.WriteLine($"last: {_lastPrompt}");
+                    Console.Write("edit (blank = reuse, q = cancel): ");
+                    var newLine = Console.ReadLine();
+                    if (newLine is null) return false;
+                    var trimmed = newLine.Trim();
+                    if (trimmed == "q") { Console.WriteLine("(cancelled)"); return false; }
+                    DispatchPrompt(string.IsNullOrEmpty(trimmed) ? _lastPrompt : trimmed);
+                    return false;
+
+                case "quit":
+                case "exit":
+                    return true;
+
+                default:
+                    Console.WriteLine($"unknown command ':{cmd}'. Try :help");
+                    return false;
+            }
+        }
+
+        private void HandleGensCommand(string arg)
+        {
+            var parts = arg.Split(' ', 2, StringSplitOptions.RemoveEmptyEntries);
+            var sub = parts.Length > 0 ? parts[0].ToLowerInvariant() : "list";
+            var rest = parts.Length > 1 ? parts[1].Trim() : "";
+
+            switch (sub)
+            {
+                case "list":
+                    if (_active.Count == 0) { Console.WriteLine("(no active generators)"); return; }
+                    foreach (var kv in _active)
+                    {
+                        Console.WriteLine($"  {kv.Key}: {kv.Value.GetGeneratorSpecPart()}");
+                    }
+                    return;
+
+                case "add":
+                    if (string.IsNullOrEmpty(rest))
+                    {
+                        Console.WriteLine($"usage: :gens add <name>. Known: {string.Join(", ", KnownGenerators)}");
+                        return;
+                    }
+                    try
+                    {
+                        var key = rest.ToLowerInvariant();
+                        var g = BuildNamed(key);
+                        _active[key] = g;
+                        Console.WriteLine($"added {key}: {g.GetGeneratorSpecPart()}");
+                    }
+                    catch (Exception ex)
+                    {
+                        Console.WriteLine($"add failed: {ex.Message}");
+                    }
+                    return;
+
+                case "remove":
+                case "rm":
+                    if (string.IsNullOrEmpty(rest)) { Console.WriteLine("usage: :gens remove <name>"); return; }
+                    if (_active.Remove(rest.ToLowerInvariant())) Console.WriteLine($"removed {rest}");
+                    else Console.WriteLine($"not active: {rest}");
+                    return;
+
+                case "reset":
+                    _active.Clear();
+                    _active["gpt2"] = BuildGpt2(_size, _quality, _moderation);
+                    if (!string.IsNullOrWhiteSpace(_settings.XAIGrokApiKey))
+                    {
+                        _active["grok"] = BuildNamed("grok");
+                    }
+                    Console.WriteLine($"reset to defaults ({string.Join(" + ", _active.Keys)})");
+                    return;
+
+                default:
+                    Console.WriteLine($"usage: :gens [list | add <name> | remove <name> | reset]  names: {string.Join(", ", KnownGenerators)}");
+                    return;
+            }
+        }
+
+        // ---------------------------------------------------------------
+        // :random — pick a prompt from the configured PromptFiles and
+        // prefill it on the input line so the user can tweak it in place
+        // or just hit Enter to accept.
+        // ---------------------------------------------------------------
+
+        private void HandleRandomPrompt()
+        {
+            var pool = LoadPromptPool();
+            if (pool == null || pool.Count == 0)
+            {
+                Console.WriteLine("(no prompts found — set Settings.PromptFiles to point at a .txt file with one prompt per line)");
+                return;
+            }
+
+            // Keep rolling new picks until the user picks an action. Ctrl-C
+            // is reserved for "abort the whole program" — it shouldn't be
+            // the UX for rejecting a suggestion.
+            while (true)
+            {
+                var pick = pool[Random.Shared.Next(pool.Count)];
+                Console.WriteLine();
+                Console.WriteLine($"(random from {pool.Count}):");
+                Console.WriteLine($"  {pick}");
+                Console.Write("[y]es send  [n]o skip  [r]eroll  [e]dit: ");
+
+                var resp = Console.ReadLine();
+                if (resp is null) return;
+                var c = resp.Trim().ToLowerInvariant();
+
+                // Treat bare Enter as "reroll" — it's the lowest-commitment
+                // action and matches how fast you can just keep hitting
+                // Enter to flip through suggestions.
+                if (c.Length == 0 || c == "r" || c == "reroll")
+                {
+                    continue;
+                }
+                if (c == "y" || c == "yes")
+                {
+                    DispatchPrompt(pick);
+                    return;
+                }
+                if (c == "n" || c == "no" || c == "skip")
+                {
+                    Console.WriteLine("(skipped)");
+                    return;
+                }
+                if (c == "e" || c == "edit")
+                {
+                    Console.Write("> ");
+                    // Prefill the candidate so it appears on the next input
+                    // line as if typed, letting the user tweak it in place.
+                    // If the injection fails (redirected stdin etc.) just
+                    // print it above the prompt and ask them to retype.
+                    if (!ConsolePrefill.TryPrefill(pick))
+                    {
+                        Console.WriteLine();
+                        Console.WriteLine(pick);
+                        Console.Write("> ");
+                    }
+                    var edited = Console.ReadLine();
+                    if (edited is null) return;
+                    edited = edited.Trim();
+                    if (edited.Length == 0)
+                    {
+                        Console.WriteLine("(empty — skipping)");
+                        return;
+                    }
+                    DispatchPrompt(edited);
+                    return;
+                }
+
+                Console.WriteLine($"(unrecognized '{resp}' — expected y/n/r/e)");
+            }
+        }
+
+        // Reads Settings.PromptFiles (+ legacy LoadPromptsFrom) on first use,
+        // pooling all non-blank lines. Caches for the life of the REPL;
+        // restart the session to pick up edits.
+        private List<string> LoadPromptPool()
+        {
+            if (_promptPool != null) return _promptPool;
+
+            var files = new List<string>();
+            if (_settings.PromptFiles != null)
+            {
+                files.AddRange(_settings.PromptFiles.Where(p => !string.IsNullOrWhiteSpace(p)));
+            }
+            if (!string.IsNullOrWhiteSpace(_settings.LoadPromptsFrom))
+            {
+                files.Add(_settings.LoadPromptsFrom);
+            }
+
+            var lines = new List<string>();
+            foreach (var fp in files)
+            {
+                if (!File.Exists(fp))
+                {
+                    Console.WriteLine($"(prompt file missing, skipping: {fp})");
+                    continue;
+                }
+                foreach (var raw in File.ReadAllLines(fp))
+                {
+                    var t = raw?.Trim();
+                    if (!string.IsNullOrEmpty(t)) lines.Add(t);
+                }
+            }
+
+            _promptPool = lines;
+            if (lines.Count > 0)
+            {
+                Console.WriteLine($"(loaded {lines.Count} prompts from {files.Count} file(s))");
+            }
+            return _promptPool;
+        }
+
+        // ---------------------------------------------------------------
+        // Dispatch
+        // ---------------------------------------------------------------
+
+        private void DispatchPrompt(string rawLine)
+        {
+            if (_active.Count == 0)
+            {
+                Console.WriteLine("no generators active. Use ':gens add <name>' or ':gens reset'.");
+                return;
+            }
+
+            // Optional leading override: "[size=1024x1024,q=low] actual prompt"
+            var (overrideSize, overrideQuality, promptText) = ParseOverrides(rawLine);
+            if (string.IsNullOrWhiteSpace(promptText))
+            {
+                Console.WriteLine("(empty prompt after parsing overrides, skipping)");
+                return;
+            }
+
+            // Validate per-prompt size override up-front so a typo like
+            // "[size=1526x2048]" doesn't burn an API round-trip before the
+            // server rejects it. Auto-snap near-miss multiples; reject the
+            // rest with the session default kept intact.
+            if (overrideSize != null)
+            {
+                if (!GptImage2Generator.TryNormalizeSize(overrideSize, out var normOvr, out var noteOvr, out var errOvr))
+                {
+                    Console.WriteLine($"(override size rejected: {errOvr}. not dispatching)");
+                    return;
+                }
+                if (noteOvr != null) Console.WriteLine($"(override size {noteOvr})");
+                overrideSize = normOvr;
+            }
+
+            _lastPrompt = promptText;
+
+            // Snapshot the active set so :gens mutations after dispatch don't
+            // affect this job. If there's a per-call override AND gpt2 is
+            // active, swap in a one-off gpt2 for this dispatch only.
+            var gens = _active.ToList();
+            if ((overrideSize != null || overrideQuality != null)
+                && _active.ContainsKey("gpt2"))
+            {
+                var s = overrideSize ?? _size;
+                var q = overrideQuality ?? _quality;
+                for (int i = 0; i < gens.Count; i++)
+                {
+                    if (gens[i].Key.Equals("gpt2", StringComparison.OrdinalIgnoreCase))
+                    {
+                        gens[i] = new KeyValuePair<string, IImageGenerator>("gpt2", BuildGpt2(s, q, _moderation));
+                    }
+                }
+            }
+
+            int id;
+            lock (_lock) id = ++_nextId;
+
+            var inflight = new InFlight
+            {
+                Id = id,
+                Prompt = promptText,
+                StartedAt = DateTime.Now,
+            };
+            inflight.Task = Task.Run(() => ProcessOneAsync(inflight, gens.Select(kv => kv.Value).ToList()));
+            lock (_lock) _inFlight.Add(inflight);
+
+            var overrideNote = (overrideSize != null || overrideQuality != null)
+                ? $"  override: size={overrideSize ?? "(sess)"} q={overrideQuality ?? "(sess)"}"
+                : "";
+            Logger.Log($"[#{id}] queued ({gens.Count} gen{(gens.Count == 1 ? "" : "s")}){overrideNote}: {promptText}");
+
+            // Reprint the command cheat-sheet after each dispatch so the
+            // available commands stay visible while long generations run —
+            // keeps the user from having to scroll up to remember flags.
+            PrintHelp();
+        }
+
+        private async Task ProcessOneAsync(InFlight inflight, List<IImageGenerator> gens)
+        {
+            var id = inflight.Id;
+            var prompt = inflight.Prompt;
+
+            // Grab a concurrency slot. Snapshot the semaphore reference so a
+            // runtime :concurrency swap doesn't cause us to Release() on a
+            // different instance than we WaitAsync'd on.
+            var limiter = _concurrencyLimit;
+            await limiter.WaitAsync();
+
+            try
+            {
+                Logger.Log($"[#{id}] START: {prompt}  ({gens.Count} generator(s))");
+
+                var pd = new PromptDetails();
+                pd.ReplacePrompt(prompt, prompt, TransformationType.InitialPrompt);
+
+                var tasks = gens.Select(async g =>
+                {
+                    PromptDetails copy = null;
+                    try
+                    {
+                        copy = pd.Copy();
+                        Logger.Log($"[#{id}]   -> {g.GetGeneratorSpecPart()}");
+                        var r = await g.ProcessPromptAsync(g, copy);
+                        await _imageManager.ProcessAndSaveAsync(r, g);
+                        var status = r.IsSuccess ? "OK" : $"FAIL ({r.ErrorMessage})";
+                        Logger.Log($"[#{id}]   <- {status} from {g.GetGeneratorSpecPart()} in {r.CreateTotalMs + r.DownloadTotalMs} ms");
+                        return r;
+                    }
+                    catch (Exception ex)
+                    {
+                        Logger.Log($"[#{id}]   <- EXCEPTION from {g.GetGeneratorSpecPart()}: {ex.Message}");
+                        return new TaskProcessResult
+                        {
+                            IsSuccess = false,
+                            ErrorMessage = ex.Message,
+                            PromptDetails = copy ?? pd,
+                            ImageGeneratorDescription = g.GetGeneratorSpecPart(),
+                        };
+                    }
+                }).ToArray();
+
+                var results = await Task.WhenAll(tasks);
+
+                // Build the grid without popping it in the viewer. The grid
+                // is still saved to disk (and mirrored) so REPL sessions can
+                // review final comparison images after the fact.
+                try
+                {
+                    var combined = await ImageCombiner.CreateBatchLayoutImageSquareAsync(
+                        results, prompt, _settings, openWhenDone: false);
+                    Logger.Log($"[#{id}] DONE grid saved: {combined}");
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"[#{id}] grid build failed: {ex.Message}");
+                }
+            }
+            finally
+            {
+                limiter.Release();
+                lock (_lock) _inFlight.Remove(inflight);
+            }
+        }
+
+        private async Task WaitAllAsync()
+        {
+            Task[] snapshot;
+            lock (_lock) snapshot = _inFlight.Select(i => i.Task).ToArray();
+            if (snapshot.Length == 0)
+            {
+                Console.WriteLine("(no jobs in flight)");
+                return;
+            }
+            Console.WriteLine($"waiting for {snapshot.Length} job(s)...");
+            try { await Task.WhenAll(snapshot); }
+            catch { /* each task already logs its own failures */ }
+        }
+
+        // ---------------------------------------------------------------
+        // Builders
+        // ---------------------------------------------------------------
+
+        // Reconstruct the gpt-image-2 slot in _active with the current
+        // session-level size / quality / moderation so the next dispatch
+        // picks them up. No-op if gpt2 isn't currently active.
+        private void RebuildGpt2IfActive()
+        {
+            if (_active.ContainsKey("gpt2"))
+            {
+                _active["gpt2"] = BuildGpt2(_size, _quality, _moderation);
+            }
+        }
+
+        private IImageGenerator BuildGpt2(string size, string quality, string moderation)
+        {
+            if (!Enum.TryParse<OpenAIGPTImageOneQuality>(quality, true, out var q))
+            {
+                Console.WriteLine($"(unknown quality '{quality}', falling back to high)");
+                q = OpenAIGPTImageOneQuality.high;
+            }
+            // Pass maxConcurrency = _concurrency so gpt-image-2's own internal
+            // semaphore doesn't become the bottleneck when the REPL has
+            // multiple prompts in flight. The prompt-level semaphore
+            // (_concurrencyLimit) is still the authoritative cap.
+            //
+            // partialSaveFolder is set so streamed partial PNGs go to disk,
+            // but popUpPartials is deliberately false — REPL mode never
+            // pops anything in the viewer.
+            return new GptImage2Generator(
+                _settings.OpenAIApiKey,
+                maxConcurrency: _concurrency,
+                sizePool: new[] { size },
+                moderation: moderation,
+                qualityPool: new[] { q },
+                stats: _stats,
+                name: "repl",
+                partialSaveFolder: _settings.ImageDownloadBaseFolder,
+                popUpPartials: false);
+        }
+
+        private IImageGenerator BuildNamed(string name)
+        {
+            switch (name.ToLowerInvariant())
+            {
+                case "gpt2":
+                    return BuildGpt2(_size, _quality, _moderation);
+
+                case "grok":
+                    // Standard tier priced per-image regardless of resolution
+                    // — 2k is a free upgrade over 1k so we take it.
+                    RequireKey(_settings.XAIGrokApiKey, "XAIGrokApiKey", "grok");
+                    return new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
+                        ImageGeneratorApiType.GrokImagine, _stats, "repl",
+                        aspectRatio: "1:1", quality: "high", resolution: "2k");
+
+                case "grokpro":
+                case "grok_pro":
+                    RequireKey(_settings.XAIGrokApiKey, "XAIGrokApiKey", "grokpro");
+                    return new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
+                        ImageGeneratorApiType.GrokImaginePro, _stats, "repl",
+                        aspectRatio: "1:1", quality: "high", resolution: "2k");
+
+                case "dalle3":
+                    RequireKey(_settings.OpenAIApiKey, "OpenAIApiKey", "dalle3");
+                    return new Dalle3Generator(_settings.OpenAIApiKey, _concurrency,
+                        GeneratedImageQuality.High, GeneratedImageSize.W1024xH1024, _stats, "repl");
+
+                case "ideogram":
+                    RequireKey(_settings.IdeogramApiKey, "IdeogramApiKey", "ideogram");
+                    return new IdeogramV3Generator(_settings.IdeogramApiKey, _concurrency,
+                        IdeogramV3StyleType.AUTO, IdeogramMagicPromptOption.ON,
+                        IdeogramAspectRatio.ASPECT_16_10, IdeogramRenderingSpeed.QUALITY,
+                        "", _stats, "repl");
+
+                case "recraft":
+                    RequireKey(_settings.RecraftApiKey, "RecraftApiKey", "recraft");
+                    return new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                        RecraftImageSize._1365x1024, RecraftStyle.any, null, null, null,
+                        _stats, "repl");
+
+                case "bfl":
+                    RequireKey(_settings.BFLApiKey, "BFLApiKey", "bfl");
+                    return new BFLGenerator(ImageGeneratorApiType.BFLv11Ultra,
+                        _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024,
+                        _stats, "repl");
+
+                case "google":
+                case "nanobanana":
+                    RequireKey(_settings.GoogleGeminiApiKey, "GoogleGeminiApiKey", "google");
+                    return new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana,
+                        _settings.GoogleGeminiApiKey, _concurrency, _stats);
+
+                case "imagen4":
+                    RequireKey(_settings.GoogleGeminiApiKey, "GoogleGeminiApiKey", "imagen4");
+                    return new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency,
+                        _stats, "repl", "2:5", "BLOCK_NONE",
+                        location: _settings.GoogleCloudLocation,
+                        projectId: _settings.GoogleCloudProjectId,
+                        googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
+
+                default:
+                    throw new ArgumentException(
+                        $"unknown generator '{name}'. Known: {string.Join(", ", KnownGenerators)}");
+            }
+        }
+
+        private static void RequireKey(string value, string settingName, string genName)
+        {
+            if (string.IsNullOrWhiteSpace(value))
+            {
+                throw new InvalidOperationException(
+                    $"Settings.{settingName} is not set; cannot activate '{genName}'. Populate it in settings.json.");
+            }
+        }
+
+        // ---------------------------------------------------------------
+        // Parsing: "[size=1024x1024,q=low] actual prompt"
+        // ---------------------------------------------------------------
+
+        // Only applies the override to the gpt2 slot; other generators
+        // ignore per-call size/quality flags since they're parametrized
+        // at construction time.
+        private static (string size, string quality, string prompt) ParseOverrides(string line)
+        {
+            if (!line.StartsWith("[")) return (null, null, line);
+            var close = line.IndexOf(']');
+            if (close < 0) return (null, null, line);
+            var inside = line.Substring(1, close - 1);
+            var rest = line.Substring(close + 1).TrimStart();
+
+            string size = null, quality = null;
+            foreach (var tok in inside.Split(',', StringSplitOptions.RemoveEmptyEntries))
+            {
+                var kv = tok.Split('=', 2);
+                if (kv.Length != 2) return (null, null, line);
+                var k = kv[0].Trim().ToLowerInvariant();
+                var v = kv[1].Trim();
+                switch (k)
+                {
+                    case "size":
+                    case "s":
+                        size = v;
+                        break;
+                    case "quality":
+                    case "q":
+                        quality = v;
+                        break;
+                    default:
+                        // Unrecognized key — fall back to treating the whole
+                        // line as a plain prompt (safer than silently dropping).
+                        return (null, null, line);
+                }
+            }
+            return (size, quality, rest);
+        }
+
+        // ---------------------------------------------------------------
+        // Printing helpers
+        // ---------------------------------------------------------------
+
+        private void PrintStatus()
+        {
+            InFlight[] snap;
+            lock (_lock) snap = _inFlight.ToArray();
+            if (snap.Length == 0) { Console.WriteLine("(no jobs in flight)"); return; }
+            Console.WriteLine($"{snap.Length} in flight:");
+            foreach (var i in snap.OrderBy(x => x.Id))
+            {
+                var elapsed = (DateTime.Now - i.StartedAt).TotalSeconds;
+                Console.WriteLine($"  #{i.Id}  {elapsed,5:F1}s  {Trunc(i.Prompt, 90)}");
+            }
+        }
+
+        private void PrintShow()
+        {
+            Console.WriteLine($"session: size={_size}  quality={_quality}  moderation={_moderation}  concurrency={_concurrency}");
+            var names = _active.Count == 0 ? "(none)" : string.Join(" ", _active.Keys);
+            Console.WriteLine($"active gens: {names}");
+        }
+
+        private static void PrintBanner()
+        {
+            Console.WriteLine();
+            Console.WriteLine("=== MultiImageClient REPL ===");
+            Console.WriteLine("Non-command lines are prompts, dispatched asynchronously.");
+            Console.WriteLine("Up to ':concurrency' prompts run in parallel. Grids are saved but NOT opened.");
+        }
+
+        private static void PrintHelp()
+        {
+            Console.WriteLine();
+            Console.WriteLine("Commands:");
+            Console.WriteLine("  :show                    print current session defaults and active generators");
+            Console.WriteLine("  :size WxH                set gpt-image-2 size. Edges snap to multiples of 16, each <=3840,");
+            Console.WriteLine("                           total pixels 655360..8294400, aspect <=3:1, or 'auto'.");
+            Console.WriteLine("  :quality low|medium|high set gpt-image-2 quality");
+            Console.WriteLine("  :moderation auto|low     set gpt-image-2 moderation");
+            Console.WriteLine("  :concurrency N           max prompts in flight (applies to subsequent dispatches)");
+            Console.WriteLine("  :gens list               list active generators");
+            Console.WriteLine("  :gens add <name>         add a generator: gpt2 grok grokpro dalle3 ideogram recraft bfl google imagen4");
+            Console.WriteLine("  :gens remove <name>      remove a generator from the active set");
+            Console.WriteLine("  :gens reset              back to defaults (gpt2 + grok when XAIGrokApiKey is set)");
+            Console.WriteLine("  :status                  list in-flight jobs");
+            Console.WriteLine("  :wait                    block until every in-flight job finishes");
+            Console.WriteLine("  :last                    reprint last-submitted prompt");
+            Console.WriteLine("  :retry                   resubmit last prompt with current settings");
+            Console.WriteLine("  :edit                    interactively edit and resubmit last prompt");
+            Console.WriteLine("  :random  /  :r           show a random prompt from PromptFiles; y=send n=skip r=reroll e=edit");
+            Console.WriteLine("  :help                    show this help");
+            Console.WriteLine("  :quit  /  :exit          wait for in-flight jobs then exit");
+            Console.WriteLine("                           (bare 'q', 'x', 'quit', 'exit' on a line by themselves also exit)");
+            Console.WriteLine();
+            Console.WriteLine("Per-prompt override (gpt2 only): [size=1024x1024,q=low] a red apple on a white plate");
+        }
+
+        private static string Trunc(string s, int max)
+            => string.IsNullOrEmpty(s) ? "" : (s.Length <= max ? s : s.Substring(0, max - 3) + "...");
+
+        // Used at session startup for --repl-size. Logs to stderr/stdout and
+        // falls back to `fallback` (which is assumed to be a known-valid
+        // canonical size) rather than aborting the whole REPL — the user can
+        // correct it at runtime with `:size WxH`.
+        private static string NormalizeSizeOrFallback(string raw, string fallback, string source)
+        {
+            if (GptImage2Generator.TryNormalizeSize(raw, out var norm, out var note, out var err))
+            {
+                if (note != null) Console.WriteLine($"({source} size {note})");
+                return norm;
+            }
+            Console.WriteLine($"({source} size '{raw}' rejected: {err}. falling back to {fallback})");
+            return fallback;
+        }
+    }
+}
diff --git a/MultiImageClient/promptGenerators/InlinePromptSource.cs b/MultiImageClient/promptGenerators/InlinePromptSource.cs
new file mode 100644
index 0000000..ba8c781
--- /dev/null
+++ b/MultiImageClient/promptGenerators/InlinePromptSource.cs
@@ -0,0 +1,34 @@
+using System.Collections.Generic;
+
+namespace MultiImageClient
+{
+    /// A prompt source that yields exactly one prompt supplied at
+    /// construction time. Used by --prompt "..." for non-interactive runs.
+    public class InlinePromptSource : AbstractPromptSource
+    {
+        private readonly string _prompt;
+
+        public InlinePromptSource(Settings settings, string prompt) : base(settings)
+        {
+            _prompt = prompt;
+        }
+
+        public override string Name => nameof(InlinePromptSource);
+        public override int ImageCreationLimit => 1;
+        public override int CopiesPer => 1;
+        public override int FullyResolvedCopiesPer => 1;
+        public override bool RandomizeOrder => false;
+        public override string Prefix => "";
+        public override string Suffix => "";
+
+        public override IEnumerable<PromptDetails> Prompts
+        {
+            get
+            {
+                var pd = new PromptDetails();
+                pd.ReplacePrompt(_prompt, _prompt, TransformationType.InitialPrompt);
+                yield return pd;
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/promptTransformation/ImageCombiner.cs b/MultiImageClient/promptTransformation/ImageCombiner.cs
index 4d77dc2..6489121 100644
--- a/MultiImageClient/promptTransformation/ImageCombiner.cs
+++ b/MultiImageClient/promptTransformation/ImageCombiner.cs
@@ -1,4 +1,4 @@
-#nullable enable
+#nullable enable
 using IdeogramAPIClient;
 
 using ImageMagick;
@@ -30,8 +30,8 @@ namespace MultiImageClient
     // 1. Batch Layout Images: Combines multiple generated images from different image generators into horizontal  square grid layouts,
     //    with labels showing which generator produced each image and the original prompt used.
     //
-    // 2. Roundtrip Layout Images: Creates comprehensive visual documentation of the image description → regeneration workflow.
-    //    Shows the full pipeline: original image → describer instructions → generated description → regenerated images.
+    // 2. Roundtrip Layout Images: Creates comprehensive visual documentation of the image description ? regeneration workflow.
+    //    Shows the full pipeline: original image ? describer instructions ? generated description ? regenerated images.
     //    This layout displays:
     //    - The original input image
     //    - The instructions/prompts given to the describer model
@@ -47,13 +47,18 @@ namespace MultiImageClient
     // All combined images are saved to disk in dated folders and automatically opened in the default image viewer.
     public static class ImageCombiner
     {
-        private const int CombinedImageGeneratorFontSize = 24;
-        private const int CombinedImagePromptFontSize = 32;
+        private const int CombinedImageGeneratorFontSize = 12;
+        private const int CombinedImagePromptFontSize = 16;
         private const int GeneratedImageLabelFontSize = 18;
         private const float LabelLineHeightMultiplier = 1.5f;
         private const int PlaceholderWidth = 300;
         private const int LabelFontSize = 12;
 
+        /// Fraction of the generator-label font size added as extra
+        /// descender reservation so letters with descenders (g, p, y)
+        /// are never clipped by the band below.
+        private const float LabelDescenderReserveFraction = 0.25f;
+
 
         private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcessResult> results)
         {
@@ -85,6 +90,7 @@ private static IEnumerable<LoadedImage> LoadResultImages(IEnumerable<TaskProcess
                                 Success = true,
                                 Result = result.IsSuccess ? "successX" : result.ErrorMessage ?? "missing error",
                                 Generator = result.ImageGeneratorDescription,
+                                TimingLabel = FormatTiming(result.CreateTotalMs + result.DownloadTotalMs),
                                 Image = image,
                                 Width = image.Width,
                                 Height = image.Height
@@ -131,10 +137,11 @@ private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loa
 
             var layoutImage = ImageUtils.CreateStandardImage(totalWidth, totalHeight, UIConstants.White);
 
+            var timingFont = FontUtils.CreateFont(Math.Max(8, generatorFont.Size * 0.75f), FontStyle.Regular);
+
             layoutImage.Mutate(ctx =>
             {
                 int currentX = 0;
-                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
 
                 foreach (var li in loadedImages)
                 {
@@ -149,11 +156,11 @@ private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loa
                         ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
                     }
 
-                    labelOpts.Origin = new PointF(currentX + li.Width / 2f, maxImageHeight + UIConstants.Padding);
+                    float centerX = currentX + li.Width / 2f;
+                    float labelY = maxImageHeight + UIConstants.Padding;
 
                     var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                    var labelText = li.Generator;
-                    ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+                    DrawCompositeLabelLine(ctx, li.Generator, li.TimingLabel, generatorFont, timingFont, labelColor, centerX, labelY);
 
                     currentX += li.Width;
                 }
@@ -164,7 +171,100 @@ private static Image<Rgba32> RenderHorizontalLayout(IEnumerable<LoadedImage> loa
 
 
 
-        // This is a square image where the top images are all the outputs of the original 1 prompt => many render attempts of it.
+        /// Renders a generator label as a single horizontal line with a clear
+        /// typographic hierarchy:
+        ///
+        ///   [primary font (bold)] gpt-image-2   [secondary font] medium  square  1m 4s
+        ///
+        /// The first whitespace-delimited token of <paramref name="fullLabel"/>
+        /// (typically the model id) stays in the primary font; the rest of
+        /// the label plus the optional timing ("1m 4s") collapses into one
+        /// secondary-font string drawn to its right. All pieces share a
+        /// single bottom pixel (descenders included) so nothing sits visually
+        /// lower than anything else. Color comes from <paramref name="color"/>
+        /// � no gray text, per AGENTS.md.
+        private static void DrawCompositeLabelLine(
+            IImageProcessingContext ctx,
+            string fullLabel,
+            string? timingLabel,
+            Font primaryFont,
+            Font secondaryFont,
+            Color color,
+            float centerX,
+            float labelY)
+        {
+            if (string.IsNullOrWhiteSpace(fullLabel) && string.IsNullOrWhiteSpace(timingLabel)) return;
+
+            // Split: first whitespace-delimited token is the primary piece
+            // (kept in the big bold font); everything after is secondary.
+            // Extra whitespace in the source is normalized to exactly two
+            // spaces between pieces in the rendered output.
+            var trimmed = (fullLabel ?? string.Empty).Trim();
+            string primary;
+            var secondaryPieces = new List<string>();
+            int firstSpace = trimmed.IndexOf(' ');
+            if (firstSpace < 0)
+            {
+                primary = trimmed;
+            }
+            else
+            {
+                primary = trimmed.Substring(0, firstSpace);
+                var rest = trimmed.Substring(firstSpace + 1);
+                secondaryPieces.AddRange(rest.Split(' ', StringSplitOptions.RemoveEmptyEntries));
+            }
+            if (!string.IsNullOrWhiteSpace(timingLabel))
+            {
+                secondaryPieces.Add(timingLabel);
+            }
+            string secondary = string.Join("  ", secondaryPieces);
+
+            // Measure each piece independently so we can lay them out on one
+            // shared baseline.
+            var primaryMeasureOpts = FontUtils.CreateTextOptions(primaryFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
+            primaryMeasureOpts.Origin = new PointF(0, 0);
+            var primaryBounds = string.IsNullOrEmpty(primary)
+                ? new FontRectangle(0, 0, 0, 0)
+                : TextMeasurer.MeasureBounds(primary, primaryMeasureOpts);
+
+            float gap = secondaryPieces.Count == 0 || string.IsNullOrEmpty(primary)
+                ? 0f
+                : Math.Max(8f, primaryFont.Size * 0.6f);
+
+            float secondaryWidth = 0f;
+            FontRectangle secondaryBounds = new FontRectangle(0, 0, 0, 0);
+            if (!string.IsNullOrEmpty(secondary))
+            {
+                var secondaryMeasureOpts = FontUtils.CreateTextOptions(secondaryFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
+                secondaryMeasureOpts.Origin = new PointF(0, 0);
+                secondaryBounds = TextMeasurer.MeasureBounds(secondary, secondaryMeasureOpts);
+                secondaryWidth = secondaryBounds.Width;
+            }
+
+            float totalWidth = primaryBounds.Width + gap + secondaryWidth;
+            float startX = centerX - totalWidth / 2f;
+
+            // Draw primary first at (startX, labelY) with Top alignment so
+            // labelY is the top of its ascenders. Then use its actual bottom
+            // pixel as the shared baseline for the secondary text.
+            float sharedBottom = labelY + primaryBounds.Height;
+            if (!string.IsNullOrEmpty(primary))
+            {
+                var primaryDrawOpts = FontUtils.CreateTextOptions(primaryFont, HorizontalAlignment.Left, VerticalAlignment.Top, UIConstants.LineSpacing);
+                primaryDrawOpts.Origin = new PointF(startX, labelY);
+                ctx.DrawTextStandard(primaryDrawOpts, primary, color);
+                var drawnBounds = TextMeasurer.MeasureBounds(primary, primaryDrawOpts);
+                sharedBottom = drawnBounds.Bottom;
+            }
+
+            if (!string.IsNullOrEmpty(secondary))
+            {
+                var secondaryDrawOpts = FontUtils.CreateTextOptions(secondaryFont, HorizontalAlignment.Left, VerticalAlignment.Bottom, UIConstants.LineSpacing);
+                secondaryDrawOpts.Origin = new PointF(startX + primaryBounds.Width + gap, sharedBottom);
+                ctx.DrawTextStandard(secondaryDrawOpts, secondary, color);
+            }
+        }
+
         private static Image<Rgba32> RenderSquareLayout(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
         {
             int totalImages = loadedImages.Count();
@@ -208,10 +308,11 @@ private static Image<Rgba32> RenderSquareLayout(IEnumerable<LoadedImage> loadedI
 
             var layoutImage = ImageUtils.CreateStandardImage(layoutWidth, layoutHeight, UIConstants.White);
 
+            var timingFont = FontUtils.CreateFont(Math.Max(8, generatorFont.Size * 0.75f), FontStyle.Regular);
+
             layoutImage.Mutate(ctx =>
             {
                 int currentY = 0;
-                var labelOpts = FontUtils.CreateTextOptions(generatorFont, HorizontalAlignment.Center, VerticalAlignment.Top, UIConstants.LineSpacing);
                 int imageIndex = 0;
 
                 for (int row = 0; row < rows; row++)
@@ -244,11 +345,9 @@ private static Image<Rgba32> RenderSquareLayout(IEnumerable<LoadedImage> loadedI
                             ctx.DrawErrorPlaceholder(rect, errorText, generatorFont);
                         }
 
-                        labelOpts.Origin = new PointF(columnX + Math.Max(columnWidth, 1) / 2f, labelY);
-
+                        float centerX = columnX + Math.Max(columnWidth, 1) / 2f;
                         var labelColor = li.Success ? UIConstants.SuccessGreen : UIConstants.ErrorRed;
-                        var labelText = li.Generator;
-                        ctx.DrawTextStandard(labelOpts, labelText, labelColor);
+                        DrawCompositeLabelLine(ctx, li.Generator, li.TimingLabel, generatorFont, timingFont, labelColor, centerX, labelY);
 
                         imageIndex++;
                     }
@@ -294,7 +393,12 @@ public static async Task<string> CreateBatchLayoutImageHorizontalAsync(IEnumerab
             return outputPath;
         }
 
-        public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings)
+        // openWhenDone controls whether the combined grid image is popped
+        // open in the system default viewer after it's written. Default true
+        // preserves the batch/round-trip workflow behavior. Callers that want
+        // headless behavior (e.g. the REPL, where viewer popups would spam
+        // the desktop) pass false.
+        public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<TaskProcessResult> results, string prompt, Settings settings, bool openWhenDone = true)
         {
             var generatorFont = FontUtils.CreateFont(CombinedImageGeneratorFontSize, FontStyle.Bold);
             var promptFont = FontUtils.CreateFont(CombinedImagePromptFontSize, FontStyle.Regular);
@@ -321,7 +425,10 @@ public static async Task<string> CreateBatchLayoutImageSquareAsync(IEnumerable<T
                 li.Image?.Dispose();
             }
 
-            OpenImageWithDefaultApplication(outputPath);
+            if (openWhenDone)
+            {
+                OpenImageWithDefaultApplication(outputPath);
+            }
 
             return outputPath;
         }
@@ -658,8 +765,10 @@ private static Image<Rgba32> RenderPromptPanel(int width, string prompt, Font pr
 
             int wrappingWidth = Math.Max(1, width - UIConstants.Padding * 4);
             int promptHeight = ImageUtils.MeasureTextHeight(prompt, promptFont, UIConstants.LineSpacing, wrappingWidth);
-            int topPadding = UIConstants.Padding * 3;
-            int bottomPadding = UIConstants.Padding * 2;
+            // Halved from the previous Padding*3 / Padding*2 so the
+            // prompt sits closer to the top of its band.
+            int topPadding = (int)Math.Ceiling(UIConstants.Padding * 1.5f);
+            int bottomPadding = UIConstants.Padding;
             int totalHeight = topPadding + promptHeight + bottomPadding;
 
             var promptPanel = ImageUtils.CreateStandardImage(width, totalHeight, UIConstants.White);
@@ -698,11 +807,16 @@ public static void OpenImageWithDefaultApplication(string imagePath)
 
         private static int MeasureImageSubdescriptionHeight(IEnumerable<LoadedImage> loadedImages, Font generatorFont)
         {
-            return loadedImages
+            int measured = loadedImages
                 .Select(li => $"{li.Result} {li.Generator}" ?? "missing")
                 .Select(label => ImageUtils.MeasureTextHeight(label, generatorFont, UIConstants.LineSpacing))
                 .DefaultIfEmpty(0)
                 .Max();
+            // Add descender reserve: TextMeasurer.MeasureBounds can
+            // under-report for fonts at this size, clipping the tails
+            // of g/p/y/j. See AGENTS.md > Visual & Typography Policy.
+            int descenderReserve = (int)Math.Ceiling(generatorFont.Size * LabelDescenderReserveFraction);
+            return measured + descenderReserve;
         }
 
         
@@ -710,17 +824,64 @@ private static int MeasureImageSubdescriptionHeight(IEnumerable<LoadedImage> loa
 
         public static LoadedImage GetPlaceholder(TaskProcessResult result)
         {
+            // Try to match what the real image WOULD have been, so the
+            // placeholder occupies the same column footprint and the prompt
+            // panel underneath doesn't get squeezed to a narrow 300-px strip.
+            // Generators (currently just gpt-image-2) stash their chosen size
+            // into PromptDetails.RuntimeMeta["size"] before the API call, so
+            // it's available even on failure results. Fall back to a reasonable
+            // 1024x1024 if no size metadata exists (older generators, unknown
+            // cases), which is still far nicer than the old 300-px square.
+            int width = 1024;
+            int height = 1024;
+            var meta = result.PromptDetails?.RuntimeMeta;
+            if (meta != null && meta.TryGetValue("size", out var sizeStr) && !string.IsNullOrWhiteSpace(sizeStr))
+            {
+                if (TryParseSize(sizeStr, out var w, out var h))
+                {
+                    width = w;
+                    height = h;
+                }
+            }
+
             return new LoadedImage
             {
                 Image = null,
                 Success = false,
                 Result = result.ErrorMessage ?? "ErrorX",
                 Generator = result.ImageGeneratorDescription,
-                Width = PlaceholderWidth,
-                Height = PlaceholderWidth
+                TimingLabel = FormatTiming(result.CreateTotalMs + result.DownloadTotalMs),
+                Width = width,
+                Height = height
             };
         }
 
+        // "1024x1024" -> (1024, 1024). Returns false for "auto" or any
+        // unparseable string so the caller can fall back to a default.
+        private static bool TryParseSize(string s, out int width, out int height)
+        {
+            width = 0;
+            height = 0;
+            if (string.IsNullOrWhiteSpace(s)) return false;
+            var parts = s.Split('x');
+            if (parts.Length != 2) return false;
+            if (!int.TryParse(parts[0], out width) || !int.TryParse(parts[1], out height)) return false;
+            if (width <= 0 || height <= 0) return false;
+            return true;
+        }
+
+        /// Formats a total-elapsed-ms value into a short "%dm %ds"
+        /// string. Returns null for non-positive values so the caller
+        /// can unambiguously decide not to render anything.
+        private static string? FormatTiming(long totalMs)
+        {
+            if (totalMs <= 0) return null;
+            int totalSeconds = (int)Math.Round(totalMs / 1000.0);
+            int mins = totalSeconds / 60;
+            int secs = totalSeconds % 60;
+            return mins > 0 ? $"{mins}m {secs}s" : $"{secs}s";
+        }
+
         private static Image<Rgba32> RenderEmptyLayout()
         {
             var empty = ImageUtils.CreateStandardImage(PlaceholderWidth, PlaceholderWidth + UIConstants.Padding * 2, UIConstants.White);
@@ -757,6 +918,7 @@ private static async Task<string> SaveCombinedImageToDisk(Image<Rgba32> image, s
 
             await image.SaveAsPngAsync(outputPath);
             Logger.Log($"Combined image saved: {outputPath}");
+            DlMirror.Copy(outputPath, settings.FlatImageMirrorPath);
 
             return outputPath;
         }
@@ -766,6 +928,9 @@ public class LoadedImage
             public bool Success { get; set; }
             public string? Result { get; set; }
             public required string Generator { get; set; }
+            /// Preformatted total generation time (e.g. "2m 15s"), or
+            /// null if we have no usable timing for this result.
+            public string? TimingLabel { get; set; }
             public Image<Rgba32>? Image { get; set; }
             public int Width { get; set; }
             public int Height { get; set; }
diff --git a/MultiImageClient/promptTransformation/ImageSaving.cs b/MultiImageClient/promptTransformation/ImageSaving.cs
index 3a8023e..bbdec7e 100644
--- a/MultiImageClient/promptTransformation/ImageSaving.cs
+++ b/MultiImageClient/promptTransformation/ImageSaving.cs
@@ -154,6 +154,10 @@ await TextFormatting.SaveImageAndAnnotate(
                 Logger.Log($"\tError saving {saveType} image: {ex.Message}\r\n{ex}");
             }
 
+            // Optional flat-folder mirror (Settings.FlatImageMirrorPath).
+            // No-op if the setting is blank. Best-effort; never throws.
+            DlMirror.Copy(fullPath, settings.FlatImageMirrorPath);
+
             return fullPath;
         }
 
diff --git a/MultiImageClient/promptTransformation/MultiClientRunStats.cs b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
index 4eace47..12993d9 100644
--- a/MultiImageClient/promptTransformation/MultiClientRunStats.cs
+++ b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
@@ -36,6 +36,10 @@ public class MultiClientRunStats
         public int RecraftImageGenerationSuccessCount { get; set; }
         public int RecraftImageGenerationErrorCount { get; set; }
 
+        public int GrokImageGenerationRequestCount { get; set; }
+        public int GrokImageGenerationSuccessCount { get; set; }
+        public int GrokImageGenerationErrorCount { get; set; }
+
         public int GoogleRequestCount { get; set; }
         public int GoogleRefusedCount { get; set; }
 
@@ -92,6 +96,9 @@ public void PrintStats()
             if (RecraftImageGenerationRequestCount > 0 | RecraftImageGenerationErrorCount > 0 | RecraftImageGenerationSuccessCount > 0)
                 nonZeroStats.Add($"Recraft: total:{RecraftImageGenerationRequestCount}, ok:{RecraftImageGenerationSuccessCount}, bad:{RecraftImageGenerationErrorCount} ");
 
+            if (GrokImageGenerationRequestCount > 0 | GrokImageGenerationErrorCount > 0 | GrokImageGenerationSuccessCount > 0)
+                nonZeroStats.Add($"Grok: total:{GrokImageGenerationRequestCount}, ok:{GrokImageGenerationSuccessCount}, bad:{GrokImageGenerationErrorCount} ");
+
             var res = $"Stats: {string.Join(", ", nonZeroStats)}";
             Console.WriteLine(res);
         }
diff --git a/MultiImageClient/settings - Fill this in and rename it.json b/MultiImageClient/settings - Fill this in and rename it.json
index a29d441..6e66f76 100644
--- a/MultiImageClient/settings - Fill this in and rename it.json	
+++ b/MultiImageClient/settings - Fill this in and rename it.json	
@@ -18,5 +18,7 @@
   "LogFilePath": "D:\\proj\\IdeogramAPI\\ideogram.log",
   "SaveJsonLog": true,
   "EnableLogging": true,
-  "AnnotationSide": "right"
+  "AnnotationSide": "right",
+  "FlatImageMirrorPath": "",
+  "TypedPromptsAppendFile": ""
 }
diff --git a/RecraftAPI/RecraftClient.cs b/RecraftAPI/RecraftClient.cs
index 1007249..b04a144 100644
--- a/RecraftAPI/RecraftClient.cs
+++ b/RecraftAPI/RecraftClient.cs
@@ -17,17 +17,17 @@ public RecraftClient(string apiKey)
         }
 
 
-        public async Task<GenerationResponse> GenerateImageAsync(string prompt, string artistic_level, string substyle, string style, RecraftImageSize size)
+        public async Task<GenerationResponse> GenerateImageAsync(string prompt, string artistic_level, string substyle, string style, RecraftImageSize size, RecraftModel model = RecraftModel.recraftv3)
         {
             var stringSubstyle = "";
             string serialized = "";
-            
+            var modelString = model.ToString();
 
             if (style == "any") {
                 serialized = JsonConvert.SerializeObject(new
                 {
                     prompt,
-                    model = "recraftv3",
+                    model = modelString,
                     style = style,
                     size = size.ToString().TrimStart('_'),
                     response_format = "url"
@@ -38,7 +38,7 @@ public async Task<GenerationResponse> GenerateImageAsync(string prompt, string a
                 serialized = JsonConvert.SerializeObject(new
                 {
                     prompt,
-                    model = "recraftv3",
+                    model = modelString,
                     artistic_level = artistic_level,
                     style = style,
                     substyle = substyle,
diff --git a/RecraftAPI/RecraftModel.cs b/RecraftAPI/RecraftModel.cs
new file mode 100644
index 0000000..46bc353
--- /dev/null
+++ b/RecraftAPI/RecraftModel.cs
@@ -0,0 +1,12 @@
+namespace RecraftAPIClient
+{
+    /// Recraft raster/vector generation model. The API string is
+    /// the lowercase enum name (e.g. "recraftv3", "recraftv4", "recraftv4pro").
+    public enum RecraftModel
+    {
+        recraftv2,
+        recraftv3,
+        recraftv4,
+        recraftv4pro,
+    }
+}
diff --git a/XAIGrokAPI/XAIGrokAPIClient.csproj b/XAIGrokAPI/XAIGrokAPIClient.csproj
new file mode 100644
index 0000000..7a5a23a
--- /dev/null
+++ b/XAIGrokAPI/XAIGrokAPIClient.csproj
@@ -0,0 +1,21 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Library</OutputType>
+    <TargetFramework>net9.0</TargetFramework>
+    <LangVersion>13.0</LangVersion>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <ProjectGuid>{C6F1B6C2-3D41-4D9A-8F1E-5B7A2C3D4E5F}</ProjectGuid>
+    <Platforms>AnyCPU;ARM64</Platforms>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\ImageGenerationClasses\ImageGenerationClasses.csproj" />
+  </ItemGroup>
+
+</Project>
diff --git a/XAIGrokAPI/XAIGrokClient.cs b/XAIGrokAPI/XAIGrokClient.cs
new file mode 100644
index 0000000..77ca141
--- /dev/null
+++ b/XAIGrokAPI/XAIGrokClient.cs
@@ -0,0 +1,272 @@
+using Newtonsoft.Json;
+
+using System;
+using System.Collections.Generic;
+using System.Net.Http;
+using System.Net.Http.Headers;
+using System.Text;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace XAIGrokAPIClient
+{
+    /// Hand-rolled REST client for xAI's image endpoints. Targets the two
+    /// documented routes:
+    ///
+    ///   POST https://api.x.ai/v1/images/generations   (text -> image)
+    ///   POST https://api.x.ai/v1/images/edits         (text + image -> image)
+    ///
+    /// We deliberately do NOT use the OpenAI SDK here — the user wanted full
+    /// control over the wire shape. That means:
+    ///   * every supported field in the xAI REST reference is exposed on the
+    ///     request DTOs below (aspect_ratio, quality, resolution, n, user,
+    ///     response_format, ...),
+    ///   * unset/null fields are omitted from the JSON so we don't accidentally
+    ///     send "size"/"style" (xAI explicitly rejects those as unsupported),
+    ///   * we return the raw response shape including usage.cost_in_usd_ticks
+    ///     so callers can track actual spend.
+    ///
+    /// Models supported (2026-04):
+    ///   grok-imagine-image       — $0.02/image, 300 rpm
+    ///   grok-imagine-image-pro   — $0.07/image, 30 rpm
+    ///
+    /// Docs: https://docs.x.ai/developers/model-capabilities/images/generation
+    ///       https://docs.x.ai/developers/rest-api-reference/inference/images
+    public class XAIGrokClient
+    {
+        public const string BaseUrl = "https://api.x.ai/v1";
+        public const string ModelGrokImagine = "grok-imagine-image";
+        public const string ModelGrokImaginePro = "grok-imagine-image-pro";
+
+        private readonly HttpClient _httpClient;
+        private readonly string _apiKey;
+
+        public XAIGrokClient(string apiKey, HttpClient? httpClient = null)
+        {
+            if (string.IsNullOrWhiteSpace(apiKey))
+            {
+                throw new ArgumentException("xAI API key is required.", nameof(apiKey));
+            }
+            _apiKey = apiKey;
+            _httpClient = httpClient ?? new HttpClient
+            {
+                Timeout = TimeSpan.FromMinutes(5),
+            };
+        }
+
+        /// Text-to-image. Returns the full parsed response so callers can pull
+        /// URLs or b64_json blobs and read usage.cost_in_usd_ticks.
+        public Task<XAIGrokImageResponse> GenerateAsync(XAIGrokGenerateRequest request, CancellationToken ct = default)
+            => PostAsync("/images/generations", request, ct);
+
+        /// Text + image -> image. Mirrors GenerateAsync but hits /images/edits
+        /// and expects request.Image (or request.Images) to be populated.
+        public Task<XAIGrokImageResponse> EditAsync(XAIGrokEditRequest request, CancellationToken ct = default)
+            => PostAsync("/images/edits", request, ct);
+
+        private async Task<XAIGrokImageResponse> PostAsync<TReq>(string path, TReq body, CancellationToken ct)
+        {
+            var serializer = new JsonSerializerSettings
+            {
+                NullValueHandling = NullValueHandling.Ignore,
+                DefaultValueHandling = DefaultValueHandling.Include,
+            };
+            var json = JsonConvert.SerializeObject(body, serializer);
+
+            using var req = new HttpRequestMessage(HttpMethod.Post, BaseUrl + path)
+            {
+                Content = new StringContent(json, Encoding.UTF8, "application/json"),
+            };
+            req.Headers.Authorization = new AuthenticationHeaderValue("Bearer", _apiKey);
+            req.Headers.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
+
+            using var res = await _httpClient.SendAsync(req, ct).ConfigureAwait(false);
+            var text = await res.Content.ReadAsStringAsync(ct).ConfigureAwait(false);
+
+            if (!res.IsSuccessStatusCode)
+            {
+                throw new XAIGrokException(
+                    $"xAI {path} returned {(int)res.StatusCode} {res.StatusCode}: {text}",
+                    (int)res.StatusCode,
+                    text);
+            }
+
+            var parsed = JsonConvert.DeserializeObject<XAIGrokImageResponse>(text)
+                ?? throw new XAIGrokException(
+                    $"xAI {path} returned an empty/unparseable body.",
+                    (int)res.StatusCode,
+                    text);
+            parsed.RawBody = text;
+            return parsed;
+        }
+    }
+
+    // ---------- Request DTOs ----------
+
+    /// Request body for POST /v1/images/generations. Only `Prompt` is required
+    /// per the xAI REST reference; everything else is optional. We intentionally
+    /// DO NOT expose `size` or `style` — xAI's docs mark both as unsupported and
+    /// sending them is a footgun.
+    public class XAIGrokGenerateRequest
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; } = string.Empty;
+
+        [JsonProperty("model")]
+        public string? Model { get; set; }
+
+        [JsonProperty("n")]
+        public int? N { get; set; }
+
+        /// "1:1" | "3:4" | "4:3" | "9:16" | "16:9" | "2:3" | "3:2" |
+        /// "9:19.5" | "19.5:9" | "9:20" | "20:9" | "1:2" | "2:1" | "auto"
+        [JsonProperty("aspect_ratio")]
+        public string? AspectRatio { get; set; }
+
+        /// "low" | "medium" | "high"
+        [JsonProperty("quality")]
+        public string? Quality { get; set; }
+
+        /// "1k" | "2k"
+        [JsonProperty("resolution")]
+        public string? Resolution { get; set; }
+
+        /// "url" (default) or "b64_json" for inline base64 (no data URI prefix).
+        [JsonProperty("response_format")]
+        public string? ResponseFormat { get; set; }
+
+        /// Optional end-user identifier for xAI abuse monitoring.
+        [JsonProperty("user")]
+        public string? User { get; set; }
+    }
+
+    /// Request body for POST /v1/images/edits. xAI supports up to 5 input images
+    /// per request; they can be supplied as public URLs or base64 data URIs via
+    /// `XAIGrokImageInput`. The aspect ratio of the output defaults to the first
+    /// input's AR; override with `AspectRatio` to force a specific shape.
+    public class XAIGrokEditRequest
+    {
+        [JsonProperty("prompt")]
+        public string Prompt { get; set; } = string.Empty;
+
+        [JsonProperty("model")]
+        public string? Model { get; set; }
+
+        [JsonProperty("n")]
+        public int? N { get; set; }
+
+        /// Single-image convenience. If you need multiple inputs, populate
+        /// `Images` instead (and leave this null).
+        [JsonProperty("image")]
+        public XAIGrokImageInput? Image { get; set; }
+
+        /// Multi-image editing. Up to 5 entries per xAI docs.
+        [JsonProperty("images")]
+        public List<XAIGrokImageInput>? Images { get; set; }
+
+        [JsonProperty("aspect_ratio")]
+        public string? AspectRatio { get; set; }
+
+        [JsonProperty("response_format")]
+        public string? ResponseFormat { get; set; }
+
+        [JsonProperty("user")]
+        public string? User { get; set; }
+    }
+
+    /// One input image for /images/edits. Exactly one of Url / Base64Data
+    /// should be populated. `Type` tells xAI how to interpret the payload
+    /// ("image_url" for Url, "base64" for Base64Data).
+    public class XAIGrokImageInput
+    {
+        [JsonProperty("type")]
+        public string Type { get; set; } = "image_url";
+
+        /// Public HTTPS URL the xAI backend will fetch.
+        [JsonProperty("url")]
+        public string? Url { get; set; }
+
+        /// Full base64 data-URI, e.g. "data:image/png;base64,AAAA..."
+        [JsonProperty("data")]
+        public string? Base64Data { get; set; }
+
+        public static XAIGrokImageInput FromUrl(string url) => new()
+        {
+            Type = "image_url",
+            Url = url,
+        };
+
+        public static XAIGrokImageInput FromBase64(string dataUri) => new()
+        {
+            Type = "base64",
+            Base64Data = dataUri,
+        };
+    }
+
+    // ---------- Response DTOs ----------
+
+    public class XAIGrokImageResponse
+    {
+        [JsonProperty("data")]
+        public List<XAIGrokImageData> Data { get; set; } = new();
+
+        [JsonProperty("usage")]
+        public XAIGrokUsage? Usage { get; set; }
+
+        /// Server-populated only on some xAI responses; Unix seconds.
+        [JsonProperty("created")]
+        public long? Created { get; set; }
+
+        /// Original JSON body as returned by xAI. Handy for debugging pricing
+        /// or schema drift. Not part of the wire format.
+        [JsonIgnore]
+        public string? RawBody { get; set; }
+    }
+
+    public class XAIGrokImageData
+    {
+        [JsonProperty("url")]
+        public string? Url { get; set; }
+
+        [JsonProperty("b64_json")]
+        public string? Base64Json { get; set; }
+
+        [JsonProperty("mime_type")]
+        public string? MimeType { get; set; }
+
+        /// Deprecated in current xAI docs — always returned as empty string —
+        /// but we keep the field in case xAI reactivates it.
+        [JsonProperty("revised_prompt")]
+        public string? RevisedPrompt { get; set; }
+    }
+
+    public class XAIGrokUsage
+    {
+        /// Cost of this request in USD ticks. One tick == $1e-8 per xAI billing
+        /// conventions; convert with `cost_in_usd_ticks / 1e8` for dollars.
+        [JsonProperty("cost_in_usd_ticks")]
+        public long? CostInUsdTicks { get; set; }
+
+        /// Convenience conversion to USD. Returns null if ticks weren't reported.
+        [JsonIgnore]
+        public decimal? CostUsd => CostInUsdTicks.HasValue
+            ? CostInUsdTicks.Value / 100_000_000m
+            : (decimal?)null;
+    }
+
+    /// Thrown when xAI returns a non-2xx. Carries the raw response body so
+    /// callers can surface detailed errors (content-policy refusals, 402
+    /// insufficient credits, 422 validation, etc.).
+    public class XAIGrokException : Exception
+    {
+        public int StatusCode { get; }
+        public string ResponseBody { get; }
+
+        public XAIGrokException(string message, int statusCode, string responseBody)
+            : base(message)
+        {
+            StatusCode = statusCode;
+            ResponseBody = responseBody;
+        }
+    }
+}

From 3977f802ffe15db26fea392d7753c76359562063 Mon Sep 17 00:00:00 2001
From: ernie <ernestfrench@gmail.com>
Date: Fri, 24 Apr 2026 16:26:56 -0700
Subject: [PATCH 71/78] etc

---
 .gitignore                                    |   1 +
 AGENTS.md                                     |  11 +-
 .../ImageGenerators/GptImage2Generator.cs     | 149 +++++++++++++-----
 .../Properties/launchSettings.json            |  16 ++
 MultiImageClient/RunOptions.cs                |  14 ++
 MultiImageClient/Workflows/GeneratorGroups.cs |  45 +++++-
 MultiImageClient/Workflows/ReplWorkflow.cs    |  89 ++++++++---
 7 files changed, 250 insertions(+), 75 deletions(-)
 create mode 100644 MultiImageClient/Properties/launchSettings.json

diff --git a/.gitignore b/.gitignore
index e9ede05..84a2158 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,6 +2,7 @@
 **/saves/**
 **/settings.json
 **/bin/**
+**/bin-check/**
 **/obj/**
 **/.vs/**
 **/.vscode/**
diff --git a/AGENTS.md b/AGENTS.md
index d5af73d..08a85f4 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -1,4 +1,4 @@
-# MultiImageClient - Agent Entry Point
+# MultiImageClient - Agent Entry Point
 
 Start here. Read this file and the linked documents before doing anything.
 
@@ -38,7 +38,7 @@ See `RunOptions.cs` for the source of truth; this is the current surface:
 - `--fast` — one fixed gpt-image-2 low/1024x1024/moderation=low call per prompt. Cheap smoke-test config.
 - `--quick-test` — like `--fast`, plus every streamed partial PNG is saved AND popped in the default viewer. Still asks y/n per prompt unless combined with `--auto`.
 - `--backfill-dl` — one-shot: mirror every image under `Settings.ImageDownloadBaseFolder` into `Settings.FlatImageMirrorPath` and exit.
-- `--repl` — **interactive prompt-by-prompt REPL with async dispatch**. Defaults: gpt-image-2 at 2048x2048 / high / moderation=low, up to 5 prompts in flight concurrently. Each line is either a prompt (fired asynchronously, stdin stays responsive) or a `:command`. Grids are built and saved but NOT opened in the viewer. Commands: `:size WxH`, `:quality low|medium|high`, `:moderation auto|low`, `:concurrency N`, `:gens list|add|remove|reset` (names: gpt2, dalle3, ideogram, recraft, bfl, google, imagen4), `:status`, `:wait`, `:last`, `:retry`, `:edit`, `:help`, `:quit`. Per-prompt override syntax: `[size=1024x1024,q=low] a red apple on a white plate`. Initial defaults can be pre-set from the command line via `--repl-size`, `--repl-quality`, `--repl-moderation`, `--repl-concurrency`. Implementation in `Workflows/ReplWorkflow.cs`.
+- `--repl` — **interactive prompt-by-prompt REPL with async dispatch**. Defaults: gpt-image-2 at 2048x2048 / high / moderation=low / n=1, up to 5 prompts in flight concurrently. Each line is either a prompt (fired asynchronously, stdin stays responsive) or a `:command`. Grids are built and saved but NOT opened in the viewer. Commands: `:size WxH`, `:quality low|medium|high`, `:moderation auto|low`, `:n N` (images per gpt-image-2 call; >10 requires confirmation), `:concurrency N`, `:gens list|add|remove|reset` (names: gpt2, dalle3, ideogram, recraft, bfl, google, imagen4), `:status`, `:wait`, `:last`, `:retry`, `:edit`, `:help`, `:quit`. Per-prompt override syntax: `[size=1024x1024,q=low,n=4] a red apple on a white plate`. Initial defaults can be pre-set from the command line via `--repl-size`, `--repl-quality`, `--repl-moderation`, `--repl-concurrency`, `--repl-n`. Implementation in `Workflows/ReplWorkflow.cs`.
 
 ## Coding Style & Naming Conventions
 Use 4-space indentation and .NET naming: PascalCase for public types/methods, camelCase for locals, Async suffix for asynchronous methods. Favor explicit types for shared models; use `var` only when the type is obvious. Route new configuration through `ImageGenerationClasses/Settings.cs` instead of ad-hoc JSON parsing. Python utilities under `djangoManager/` should follow PEP 8 snake_case, with comments reserved for non-obvious prompt logic.
@@ -54,14 +54,15 @@ Use 4-space indentation and .NET naming: PascalCase for public types/methods, ca
 
 ## gpt-image-2 Endpoint Options (reference)
 The `/v1/images/generations` endpoint with `model=gpt-image-2` accepts:
-- `size`: `1024x1024`, `1536x1024`, `1024x1536`, `2048x2048`, `2048x1152`, `3840x2160`, `2160x3840`, or `auto`. Arbitrary resolutions are legal when edges are multiples of 16, max edge ≤ 3840, total pixels in [655 360, 8 294 400], and long:short ratio ≤ 3:1.
+- `size`: `1024x1024`, `1536x1024`, `1024x1536`, `2048x2048`, `2048x1152`, `2560x1440` (QHD — cookbook's "recommended upper reliability boundary"), `3824x2144` (near-4K), or `auto`. Arbitrary resolutions are legal when edges are multiples of 16, max edge STRICTLY less than 3840 (cookbook 1.1), total pixels in [655 360, 8 294 400], and long:short ratio ≤ 3:1. Legacy 3840x2160 is treated as experimental and rejected by `GptImage2Generator.TryNormalizeSize` — use 3824x2144 instead.
 - `quality`: `low`, `medium`, `high`, `auto`.
 - `moderation`: `auto` (default) or `low` (permissive — we use `low` for batch runs).
-- `output_format`: `png` (default), `jpeg`, `webp`. `output_compression` (0–100) applies to jpeg/webp.
+- `n`: images per call. We plumb this through `GptImage2Generator.imageCount` (ctor) and surface it in the REPL as `:n N` / `[n=N]` override / `--repl-n` flag. Streaming handler collects all N images by `image_index` (or fallback insertion order) and returns them as separate `CreatedBase64Image` entries so `ImageManager`'s per-index save path produces distinct `...img0`, `...img1`, ... files.
+- `output_format`: `png` (default), `jpeg`, `webp`. `output_compression` (0–100) applies to jpeg/webp. (Not currently exposed in the generator.)
 - `background`: `auto`, `transparent`, `opaque` — transparent is not supported by gpt-image-2 (png/webp only, in practice rejected on this model).
 - `stream`: `true` — we always stream and consume SSE to surface partials + heartbeat.
 - `partial_images`: 0–3 (we send 2).
-- **Do NOT send `input_fidelity`** — the endpoint rejects it on gpt-image-2 (always high-fidelity).
+- **Do NOT send `input_fidelity` on `/generations`** — the generations endpoint rejects it on gpt-image-2 (always high-fidelity). Note the OpenAI cookbook's gpt-image-2 **edit** examples do pass `input_fidelity="high"`, so the restriction may be generations-specific; re-test when wiring `/v1/images/edits`.
 
 Pricing is token-based ($30 / 1M output tokens). Rough per-image ceilings we report: low ≈ $0.02, medium ≈ $0.08, high ≈ $0.25.
 
diff --git a/MultiImageClient/ImageGenerators/GptImage2Generator.cs b/MultiImageClient/ImageGenerators/GptImage2Generator.cs
index 1b2490f..29c326e 100644
--- a/MultiImageClient/ImageGenerators/GptImage2Generator.cs
+++ b/MultiImageClient/ImageGenerators/GptImage2Generator.cs
@@ -14,17 +14,25 @@ namespace MultiImageClient
 {
     // OpenAI `gpt-image-2` — released 2026-04-21. Uses the standard
     // Images API at /v1/images/generations. Accepts `size`, `quality`
-    // (low/medium/high/auto), `n`, and `moderation` (auto/low). The
-    // `input_fidelity` parameter must NOT be sent — gpt-image-2 always
-    // processes image inputs at high fidelity and the API rejects the
-    // field. Transparent backgrounds are not supported. Pricing is
+    // (low/medium/high/auto), `n`, and `moderation` (auto/low).
+    //
+    // On THIS endpoint (/generations) the `input_fidelity` parameter must
+    // not be sent — gpt-image-2 always renders at high fidelity and the
+    // generations endpoint rejects the field. Note the OpenAI cookbook's
+    // gpt-image-2 edits examples do pass `input_fidelity="high"`, so the
+    // restriction may be generations-specific; re-test when wiring the
+    // /edits endpoint. Transparent backgrounds are not supported. Pricing is
     // token-based ($30/1M output tokens); GetCost() returns a rough
     // per-quality estimate for reporting only.
     //
     // Popular sizes: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 2048x1152,
-    // 3840x2160, 2160x3840, or "auto". Arbitrary resolutions are also
-    // allowed under the constraints: edges multiple of 16, max edge 3840,
-    // total pixels in [655360, 8294400], long:short edge ratio <= 3:1.
+    // 2560x1440 (QHD / 2K — cookbook's "recommended upper reliability
+    // boundary"), 3824x2144 (near-4K; see below), or "auto". Arbitrary
+    // resolutions are also allowed under the constraints: edges multiple of
+    // 16, max edge STRICTLY less than 3840 (cookbook 1.1), total pixels in
+    // [655360, 8294400], long:short edge ratio <= 3:1. 3840x2160 is listed
+    // in some places as "experimental" and may be rejected on some accounts
+    // — 3824x2144 is the safe canonical near-4K.
     public class GptImage2Generator : IImageGenerator
     {
         private const string ModelId = "gpt-image-2";
@@ -48,6 +56,14 @@ public class GptImage2Generator : IImageGenerator
         private readonly string[] _sizePool;
         private readonly OpenAIGPTImageOneQuality[] _qualityPool;
 
+        // How many images to request per call (`n` in the request body). 1 is
+        // the common case; >1 is useful for logo/variant exploration (cookbook
+        // 4.5) where a single round-trip returns multiple candidates. The
+        // streaming handler collects all N images and returns them as separate
+        // CreatedBase64Image entries so ImageManager's per-index save path
+        // ("...img0", "...img1", ...) produces distinct files automatically.
+        private readonly int _imageCount;
+
         // When non-empty, each streamed partial PNG is written under this
         // folder (in a per-day "PartialsLive" subfolder) as it arrives. When
         // _popUpPartials is also true, each saved partial is opened in the
@@ -73,10 +89,12 @@ public GptImage2Generator(
             MultiClientRunStats stats,
             string name,
             string partialSaveFolder = null,
-            bool popUpPartials = false)
+            bool popUpPartials = false,
+            int imageCount = 1)
         {
             if (sizePool == null || sizePool.Length == 0) throw new ArgumentException("sizePool must be non-empty", nameof(sizePool));
             if (qualityPool == null || qualityPool.Length == 0) throw new ArgumentException("qualityPool must be non-empty", nameof(qualityPool));
+            if (imageCount < 1) throw new ArgumentException("imageCount must be >= 1", nameof(imageCount));
             _semaphore = new SemaphoreSlim(maxConcurrency);
             _http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
             _sizePool = sizePool;
@@ -86,6 +104,7 @@ public GptImage2Generator(
             _stats = stats;
             _partialSaveFolder = partialSaveFolder ?? "";
             _popUpPartials = popUpPartials;
+            _imageCount = imageCount;
         }
 
         // Log tag + fallback label if an outer exception prevents us from
@@ -115,15 +134,17 @@ public string GetFilenamePart(PromptDetails pd)
         public decimal GetCost()
         {
             // Random pools make per-call cost unknowable at instance level; report
-            // the ceiling of the active quality pool.
+            // the ceiling of the active quality pool, scaled by `n` since we
+            // always return exactly `n` images per call.
             var worst = _qualityPool.Max();
-            return worst switch
+            var perImage = worst switch
             {
                 OpenAIGPTImageOneQuality.low => 0.02m,
                 OpenAIGPTImageOneQuality.medium => 0.08m,
                 OpenAIGPTImageOneQuality.high => 0.25m,
                 _ => 0.25m,
             };
+            return perImage * _imageCount;
         }
 
         public List<string> GetRightParts()
@@ -135,7 +156,9 @@ public List<string> GetRightParts()
             var sizept = _sizePool.Length == 1
                 ? $"size {_sizePool[0]}"
                 : $"size RANDOM({string.Join("/", _sizePool)})";
-            return new List<string> { ModelId, _name, sizept, qualitypt, modpt };
+            var parts = new List<string> { ModelId, _name, sizept, qualitypt, modpt };
+            if (_imageCount != 1) parts.Add($"n {_imageCount}");
+            return parts;
         }
 
         // How many partial images to request mid-stream. 0-3. Each partial
@@ -187,7 +210,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                     ["model"] = ModelId,
                     ["prompt"] = promptDetails.Prompt,
                     ["quality"] = chosenQuality.ToString(),
-                    ["n"] = 1,
+                    ["n"] = _imageCount,
                     ["size"] = chosenSize,
                     ["stream"] = true,
                     ["partial_images"] = PartialImageCount,
@@ -239,10 +262,18 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                         };
                     }
 
-                    Logger.Log($"    [{genTag}] connected, streaming (partial_images={PartialImageCount})");
-
-                    string finalB64 = null;
-                    string revisedPrompt = null;
+                    Logger.Log($"    [{genTag}] connected, streaming (partial_images={PartialImageCount}, n={_imageCount})");
+
+                    // When n>1 the server streams events for each image in
+                    // parallel; each event can carry an `image_index` (or
+                    // `output_index` on some event shapes) distinguishing
+                    // which of the N images it belongs to. Collect completed
+                    // images into a SortedDictionary keyed by that index so
+                    // the final list comes back in a stable 0..N-1 order.
+                    // When no index is present (n=1 or older event shape),
+                    // we assign sequentially so insertion order wins.
+                    var finalImages = new SortedDictionary<int, (string b64, string revisedPrompt)>();
+                    int nextFallbackIdx = 0;
                     string streamErrorMessage = null;
                     long lastEventMs = 0;
 
@@ -269,33 +300,38 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                         {
                             case "image_generation.partial_image":
                             {
-                                var idx = root.TryGetProperty("partial_image_index", out var iEl) ? iEl.GetInt32() : -1;
-                                Logger.Log($"    [{genTag}] partial #{idx} at {nowMs} ms (+{sinceLast} ms since last event)");
+                                var pidx = root.TryGetProperty("partial_image_index", out var iEl) ? iEl.GetInt32() : -1;
+                                var imgIdx = ExtractImageIndex(root);
+                                var imgTag = _imageCount > 1 ? $" img{imgIdx}" : "";
+                                Logger.Log($"    [{genTag}] partial #{pidx}{imgTag} at {nowMs} ms (+{sinceLast} ms since last event)");
                                 if (!string.IsNullOrEmpty(_partialSaveFolder)
                                     && root.TryGetProperty("b64_json", out var pbEl)
                                     && pbEl.ValueKind == JsonValueKind.String)
                                 {
-                                    TrySavePartial(pbEl.GetString(), idx, promptDetails, genTag);
+                                    TrySavePartial(pbEl.GetString(), pidx, imgIdx, promptDetails, genTag);
                                 }
                                 break;
                             }
                             case "image_generation.completed":
                             {
-                                if (root.TryGetProperty("b64_json", out var bEl))
-                                {
-                                    finalB64 = bEl.GetString();
-                                }
-                                if (root.TryGetProperty("revised_prompt", out var rpEl))
+                                var imgIdx = ExtractImageIndex(root);
+                                if (imgIdx < 0) imgIdx = nextFallbackIdx;
+                                nextFallbackIdx = Math.Max(nextFallbackIdx, imgIdx + 1);
+
+                                string b64 = root.TryGetProperty("b64_json", out var bEl) ? bEl.GetString() : null;
+                                string revisedPrompt = root.TryGetProperty("revised_prompt", out var rpEl) ? rpEl.GetString() : null;
+                                if (!string.IsNullOrEmpty(b64))
                                 {
-                                    revisedPrompt = rpEl.GetString();
+                                    finalImages[imgIdx] = (b64, revisedPrompt);
                                 }
 
                                 string usageSummary = ExtractUsageSummary(root);
-                                Logger.Log($"    [{genTag}] completed at {nowMs} ms (+{sinceLast} ms since last event).{usageSummary}");
+                                var imgTag = _imageCount > 1 ? $" img{imgIdx}" : "";
+                                Logger.Log($"    [{genTag}] completed{imgTag} at {nowMs} ms (+{sinceLast} ms since last event).{usageSummary}");
 
                                 if (!string.IsNullOrEmpty(revisedPrompt))
                                 {
-                                    Logger.Log($"    [{genTag}] revised_prompt: {revisedPrompt}");
+                                    Logger.Log($"    [{genTag}] revised_prompt{imgTag}: {revisedPrompt}");
                                 }
                                 break;
                             }
@@ -315,7 +351,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                         }
                     }
 
-                    if (string.IsNullOrEmpty(finalB64))
+                    if (finalImages.Count == 0)
                     {
                         _stats.GptImage2RefusedCount++;
                         var msg = streamErrorMessage ?? "stream ended without an image_generation.completed event";
@@ -331,10 +367,18 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                         };
                     }
 
-                    var b64s = new List<CreatedBase64Image>
+                    if (finalImages.Count < _imageCount)
                     {
-                        new CreatedBase64Image { bytesBase64 = finalB64, newPrompt = revisedPrompt ?? "" }
-                    };
+                        // Partial success — we asked for N but only got M<N back.
+                        // Surface the shortfall in logs but still save what we
+                        // have; a partial batch is usually more useful than
+                        // nothing, and the user can re-roll.
+                        Logger.Log($"    [{genTag}] WARNING: requested n={_imageCount} but only {finalImages.Count} image(s) completed");
+                    }
+
+                    var b64s = finalImages.Values
+                        .Select(v => new CreatedBase64Image { bytesBase64 = v.b64, newPrompt = v.revisedPrompt ?? "" })
+                        .ToList();
 
                     return new TaskProcessResult
                     {
@@ -373,6 +417,24 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
             }
         }
 
+        // When n>1 the server distinguishes per-image events by one of a
+        // couple possible fields. Try the documented "image_index" first,
+        // then fall back to "output_index" which some streaming builds emit
+        // instead. Returns -1 when neither is present (n=1 case; caller
+        // assigns insertion order).
+        private static int ExtractImageIndex(JsonElement root)
+        {
+            if (root.TryGetProperty("image_index", out var ii) && ii.ValueKind == JsonValueKind.Number)
+            {
+                return ii.GetInt32();
+            }
+            if (root.TryGetProperty("output_index", out var oi) && oi.ValueKind == JsonValueKind.Number)
+            {
+                return oi.GetInt32();
+            }
+            return -1;
+        }
+
         // Pretty-prints the `usage` block if present, including the detailed
         // breakdown (image_tokens vs text_tokens) for both input and output.
         // Returns leading-space so it composes directly into a one-liner.
@@ -466,9 +528,13 @@ public static bool TryNormalizeSize(string input, out string normalized, out str
                 h = snappedH;
             }
 
-            if (w > SizeMaxEdge || h > SizeMaxEdge)
+            // Cookbook (2026-04-21) is explicit that the max edge rule is
+            // strict: "Maximum edge length must be less than 3840px". The
+            // popular size 3840x2160 is flagged as experimental and may 400
+            // on some accounts; safer canonical near-miss is 3824x2144.
+            if (w >= SizeMaxEdge || h >= SizeMaxEdge)
             {
-                error = $"edge over {SizeMaxEdge} (got {w}x{h})";
+                error = $"edge must be < {SizeMaxEdge} (got {w}x{h}; try 3824x2144)";
                 return false;
             }
 
@@ -559,7 +625,12 @@ private static (string message, string code) ExtractErrorDetails(JsonElement roo
         // Decode and write one partial PNG under {base}/{today}/PartialsLive/
         // and (if configured) open it in the default image viewer. Best-effort:
         // a partial save failure never interrupts the generation.
-        private void TrySavePartial(string b64, int idx, PromptDetails pd, string genTag)
+        //
+        // `partialIdx` is the partial-within-image index (0..PartialImageCount-1,
+        // from the `partial_image_index` event field). `imageIdx` is which of
+        // the N images this partial belongs to when n>1; pass -1 when n=1 and
+        // the server didn't send an image index.
+        private void TrySavePartial(string b64, int partialIdx, int imageIdx, PromptDetails pd, string genTag)
         {
             try
             {
@@ -571,11 +642,13 @@ private void TrySavePartial(string b64, int idx, PromptDetails pd, string genTag
                 var promptPart = FilenameGenerator.TruncatePrompt(pd?.Prompt ?? "partial", 60);
                 // Zero-padded timestamp keeps files sorted by arrival order
                 // across runs; partial index disambiguates within a single call.
+                // When n>1, image index distinguishes per-output streams.
                 var ts = DateTime.Now.ToString("HHmmss_fff");
-                var file = $"{ts}_partial{Math.Max(0, idx):D2}_{promptPart}.png";
+                var imgPart = imageIdx >= 0 && _imageCount > 1 ? $"_img{imageIdx}" : "";
+                var file = $"{ts}_partial{Math.Max(0, partialIdx):D2}{imgPart}_{promptPart}.png";
                 var full = Path.Combine(folder, file);
                 File.WriteAllBytes(full, bytes);
-                Logger.Log($"    [{genTag}] saved partial #{idx} -> {full}");
+                Logger.Log($"    [{genTag}] saved partial #{partialIdx}{imgPart} -> {full}");
 
                 if (_popUpPartials)
                 {
@@ -585,13 +658,13 @@ private void TrySavePartial(string b64, int idx, PromptDetails pd, string genTag
                     }
                     catch (Exception ex)
                     {
-                        Logger.Log($"    [{genTag}] pop-up failed for partial #{idx}: {ex.Message}");
+                        Logger.Log($"    [{genTag}] pop-up failed for partial #{partialIdx}: {ex.Message}");
                     }
                 }
             }
             catch (Exception ex)
             {
-                Logger.Log($"    [{genTag}] failed to save partial #{idx}: {ex.Message}");
+                Logger.Log($"    [{genTag}] failed to save partial #{partialIdx}: {ex.Message}");
             }
         }
 
diff --git a/MultiImageClient/Properties/launchSettings.json b/MultiImageClient/Properties/launchSettings.json
new file mode 100644
index 0000000..3c3595f
--- /dev/null
+++ b/MultiImageClient/Properties/launchSettings.json
@@ -0,0 +1,16 @@
+{
+  "profiles": {
+    "MultiImageClient (REPL)": {
+      "commandName": "Project",
+      "commandLineArgs": "--repl",
+      "nativeDebugging": false
+    },
+    "MultiImageClient (interactive menu)": {
+      "commandName": "Project"
+    },
+    "MultiImageClient (REPL, 10 parallel)": {
+      "commandName": "Project",
+      "commandLineArgs": "--repl --repl-concurrency 10"
+    }
+  }
+}
diff --git a/MultiImageClient/RunOptions.cs b/MultiImageClient/RunOptions.cs
index 241b43b..4a8e49e 100644
--- a/MultiImageClient/RunOptions.cs
+++ b/MultiImageClient/RunOptions.cs
@@ -65,6 +65,11 @@ public class RunOptions
         /// them; the REPL will queue beyond this limit.
         public int ReplConcurrency { get; set; } = 5;
 
+        /// Default `n` (images per call) for the gpt-image-2 slot in REPL
+        /// sessions. Useful for variant exploration (e.g. logo design). Can
+        /// be changed at runtime via `:n N` or per-prompt via `[n=N] ...`.
+        public int ReplImageCount { get; set; } = 1;
+
         /// If true, bypass every other workflow and run GrokShowcaseWorkflow:
         /// pull the first --limit prompts from the active prompt source, fire
         /// them at xAI Grok Imagine in parallel, save each, then compose one
@@ -129,6 +134,14 @@ public static RunOptions Parse(string[] args)
                     case "--repl-concurrency":
                         o.ReplConcurrency = int.Parse(args[++i]);
                         break;
+                    case "--repl-n":
+                        o.ReplImageCount = int.Parse(args[++i]);
+                        if (o.ReplImageCount < 1)
+                        {
+                            Console.Error.WriteLine($"--repl-n must be >= 1 (got {o.ReplImageCount})");
+                            Environment.Exit(2);
+                        }
+                        break;
                     case "--grok-showcase":
                         o.GrokShowcase = true;
                         break;
@@ -165,6 +178,7 @@ private static void PrintUsage()
             Console.WriteLine("  --repl-quality L      REPL session default quality: low|medium|high (default high). Change at runtime with :quality <L>.");
             Console.WriteLine("  --repl-moderation M   REPL session default moderation: auto|low (default low). Change at runtime with :moderation <M>.");
             Console.WriteLine("  --repl-concurrency N  Max prompts in flight simultaneously in REPL mode (default 5). Change at runtime with :concurrency N.");
+            Console.WriteLine("  --repl-n N            REPL session default n (images per gpt-image-2 call, default 1). Change at runtime with :n N, or per-prompt via [n=N] in the override prefix.");
             Console.WriteLine("  --grok-showcase       One-shot: take the first --limit prompts from the active prompt source (--prompt or PromptFiles), fire them at xAI Grok Imagine in parallel, and open a single combined grid image. Default --limit for this mode is 10.");
             Console.WriteLine("  --grok-pro            Pair with --grok-showcase to route through grok-imagine-image-pro at 2k resolution ($0.07/img, 30 rpm) instead of grok-imagine-image at 1k ($0.02/img, 300 rpm).");
         }
diff --git a/MultiImageClient/Workflows/GeneratorGroups.cs b/MultiImageClient/Workflows/GeneratorGroups.cs
index 79b7ab3..103b842 100644
--- a/MultiImageClient/Workflows/GeneratorGroups.cs
+++ b/MultiImageClient/Workflows/GeneratorGroups.cs
@@ -73,6 +73,8 @@ public IEnumerable<IImageGenerator> GetAll()
                 // GptImage2MediumPortrait(),
                 // GptImage2HighWide(),
                 // GptImage2High2K(),
+                // GptImage2HighQhdWide(),        // 2560x1440 QHD, cookbook's recommended upper reliability boundary
+                // GptImage2LogoVariants(n: 4),   // one call -> N candidates; see cookbook 4.5
                 // --- other OpenAI image models ---
                 // Dalle3Square(),
                 // Dalle3Wide(),
@@ -124,13 +126,21 @@ private GptImageOneGenerator GptImageMiniHighWide() =>
         // ---------- OpenAI: gpt-image-2 (released 2026-04-21) ----------
         // Quality: low / medium / high / auto.
         // Size can be any of 1024x1024, 1536x1024, 1024x1536, 2048x2048,
-        // 2048x1152, 3840x2160, 2160x3840, or "auto". Moderation is "auto"
-        // (default) or "low" (minimal safety, permissible content only).
+        // 2048x1152, 2560x1440 (QHD — cookbook's recommended upper
+        // reliability boundary), 3824x2144 (near-4K), or "auto". Cookbook
+        // enforces max edge STRICTLY < 3840 so the legacy 3840x2160 is
+        // treated as experimental in our size validator. Moderation is
+        // "auto" (default) or "low" (minimal safety, permissible content
+        // only).
         //
         // Default for batch runs: random AR x random quality with moderation="low".
         // The size pool sticks to the three canonical 1024-edge aspect ratios so
         // per-call cost stays bounded. Quality pool is low/medium/high (no "auto"
         // — we want explicit control and predictable billing).
+        //
+        // Variant factories take an optional `n` (images per call) to support
+        // cookbook patterns like logo-variant generation (section 4.5) where
+        // one round-trip returns N candidates. N=1 preserves prior behavior.
         // --fast: lowest quality, smallest size, permissive moderation. Deterministic
         // fixed variant so test runs are cheap and consistent across invocations.
         private GptImage2Generator GptImage2FastTest() =>
@@ -151,7 +161,7 @@ private GptImage2Generator GptImage2QuickTest() =>
                 partialSaveFolder: _settings.ImageDownloadBaseFolder,
                 popUpPartials: true);
 
-        private GptImage2Generator GptImage2RandomMinimalSafety() =>
+        private GptImage2Generator GptImage2RandomMinimalSafety(int n = 1) =>
             new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
                 sizePool: new[] { "1024x1024", "1024x1536", "1536x1024" },
                 moderation: "low",
@@ -161,23 +171,42 @@ private GptImage2Generator GptImage2RandomMinimalSafety() =>
                     OpenAIGPTImageOneQuality.medium,
                     OpenAIGPTImageOneQuality.high,
                 },
-                stats: _stats, name: "");
+                stats: _stats, name: "", imageCount: n);
+
+        // Logo/variant exploration per cookbook 4.5: one API call, N
+        // candidates returned in the same round-trip. Filenames pick up the
+        // imgN suffix automatically via FileNameGenerator so the grid shows
+        // all variants side-by-side. Kept off by default (in the commented
+        // GetAll block) because it multiplies per-prompt cost linearly.
+        private GptImage2Generator GptImage2LogoVariants(int n = 4) =>
+            new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
+                sizePool: new[] { "1024x1024" },
+                moderation: "low",
+                qualityPool: new[] { OpenAIGPTImageOneQuality.medium },
+                stats: _stats, name: "variants", imageCount: n);
 
         private GptImage2Generator GptImage2HighSquare() =>
             new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
-                "1024x1024", "", OpenAIGPTImageOneQuality.high, _stats, "");
+                "1024x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
 
         private GptImage2Generator GptImage2MediumPortrait() =>
             new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
-                "1024x1536", "", OpenAIGPTImageOneQuality.medium, _stats, "");
+                "1024x1536", "low", OpenAIGPTImageOneQuality.medium, _stats, "");
 
         private GptImage2Generator GptImage2HighWide() =>
             new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
-                "1536x1024", "", OpenAIGPTImageOneQuality.high, _stats, "");
+                "1536x1024", "low", OpenAIGPTImageOneQuality.high, _stats, "");
 
         private GptImage2Generator GptImage2High2K() =>
             new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
-                "2048x2048", "", OpenAIGPTImageOneQuality.high, _stats, "");
+                "2048x2048", "low", OpenAIGPTImageOneQuality.high, _stats, "");
+
+        // Cookbook "recommended upper reliability boundary" at 2K / QHD.
+        // Use when you want more detail than 2048 square but don't want to
+        // tip into the experimental near-4K territory.
+        private GptImage2Generator GptImage2HighQhdWide() =>
+            new GptImage2Generator(_settings.OpenAIApiKey, _concurrency,
+                "2560x1440", "low", OpenAIGPTImageOneQuality.high, _stats, "");
 
         // ---------- Ideogram ----------
 
diff --git a/MultiImageClient/Workflows/ReplWorkflow.cs b/MultiImageClient/Workflows/ReplWorkflow.cs
index 36dbbf8..776f522 100644
--- a/MultiImageClient/Workflows/ReplWorkflow.cs
+++ b/MultiImageClient/Workflows/ReplWorkflow.cs
@@ -62,6 +62,7 @@ public class ReplWorkflow
         private string _size;
         private string _quality;
         private string _moderation;
+        private int _imageCount;
         private int _concurrency;
         private SemaphoreSlim _concurrencyLimit;
 
@@ -96,6 +97,7 @@ public ReplWorkflow(Settings settings, MultiClientRunStats stats, RunOptions opt
             _size = NormalizeSizeOrFallback(startSize, "2048x2048", "--repl-size");
             _quality = string.IsNullOrWhiteSpace(options.ReplQuality) ? "high" : options.ReplQuality;
             _moderation = string.IsNullOrWhiteSpace(options.ReplModeration) ? "low" : options.ReplModeration;
+            _imageCount = options.ReplImageCount < 1 ? 1 : options.ReplImageCount;
             _concurrency = options.ReplConcurrency < 1 ? 1 : options.ReplConcurrency;
             _concurrencyLimit = new SemaphoreSlim(_concurrency);
 
@@ -103,7 +105,7 @@ public ReplWorkflow(Settings settings, MultiClientRunStats stats, RunOptions opt
             // Both fire in parallel for each dispatched prompt. Grok is only
             // added if an API key is present so the REPL still works on
             // gpt-only setups. Users can :gens add / remove at runtime.
-            _active["gpt2"] = BuildGpt2(_size, _quality, _moderation);
+            _active["gpt2"] = BuildGpt2(_size, _quality, _moderation, _imageCount);
             if (!string.IsNullOrWhiteSpace(_settings.XAIGrokApiKey))
             {
                 _active["grok"] = BuildNamed("grok");
@@ -149,7 +151,7 @@ public async Task RunAsync()
                 // (after stripping any `[size=..]`-style override prefix) as
                 // suspicious and require explicit confirmation before burning
                 // an API call on it.
-                var (_, _, promptOnly) = ParseOverrides(line);
+                var (_, _, _, promptOnly) = ParseOverrides(line);
                 if ((promptOnly ?? "").Trim().Length < 5)
                 {
                     Console.Write($"short prompt ({(promptOnly ?? "").Trim().Length} chars): '{line}'. Send anyway? [y/N] ");
@@ -222,6 +224,29 @@ private async Task<bool> HandleCommandAsync(string line)
                     Console.WriteLine($"moderation = {_moderation}");
                     return false;
 
+                case "n":
+                    if (string.IsNullOrEmpty(arg)) { Console.WriteLine($"n = {_imageCount}"); return false; }
+                    if (!int.TryParse(arg, out var nval) || nval < 1)
+                    {
+                        Console.WriteLine($"(n rejected: '{arg}' — must be a positive integer. kept n={_imageCount})");
+                        return false;
+                    }
+                    if (nval > 10)
+                    {
+                        // No hard server cap is documented but N>10 is almost
+                        // always a typo and multiplies cost + partials storm
+                        // linearly. Ask once before committing.
+                        Console.Write($"n={nval} is large; each dispatch will cost {nval}x per image. Confirm? [y/N] ");
+                        var cc = Console.ReadLine();
+                        if (cc == null) return false;
+                        var ck = cc.Trim().ToLowerInvariant();
+                        if (ck != "y" && ck != "yes") { Console.WriteLine($"(cancelled, kept n={_imageCount})"); return false; }
+                    }
+                    _imageCount = nval;
+                    RebuildGpt2IfActive();
+                    Console.WriteLine($"n = {_imageCount}");
+                    return false;
+
                 case "concurrency":
                     if (int.TryParse(arg, out var n) && n >= 1)
                     {
@@ -338,7 +363,7 @@ private void HandleGensCommand(string arg)
 
                 case "reset":
                     _active.Clear();
-                    _active["gpt2"] = BuildGpt2(_size, _quality, _moderation);
+                    _active["gpt2"] = BuildGpt2(_size, _quality, _moderation, _imageCount);
                     if (!string.IsNullOrWhiteSpace(_settings.XAIGrokApiKey))
                     {
                         _active["grok"] = BuildNamed("grok");
@@ -480,8 +505,8 @@ private void DispatchPrompt(string rawLine)
                 return;
             }
 
-            // Optional leading override: "[size=1024x1024,q=low] actual prompt"
-            var (overrideSize, overrideQuality, promptText) = ParseOverrides(rawLine);
+            // Optional leading override: "[size=1024x1024,q=low,n=4] actual prompt"
+            var (overrideSize, overrideQuality, overrideN, promptText) = ParseOverrides(rawLine);
             if (string.IsNullOrWhiteSpace(promptText))
             {
                 Console.WriteLine("(empty prompt after parsing overrides, skipping)");
@@ -509,16 +534,17 @@ private void DispatchPrompt(string rawLine)
             // affect this job. If there's a per-call override AND gpt2 is
             // active, swap in a one-off gpt2 for this dispatch only.
             var gens = _active.ToList();
-            if ((overrideSize != null || overrideQuality != null)
+            if ((overrideSize != null || overrideQuality != null || overrideN != null)
                 && _active.ContainsKey("gpt2"))
             {
                 var s = overrideSize ?? _size;
                 var q = overrideQuality ?? _quality;
+                var nn = overrideN ?? _imageCount;
                 for (int i = 0; i < gens.Count; i++)
                 {
                     if (gens[i].Key.Equals("gpt2", StringComparison.OrdinalIgnoreCase))
                     {
-                        gens[i] = new KeyValuePair<string, IImageGenerator>("gpt2", BuildGpt2(s, q, _moderation));
+                        gens[i] = new KeyValuePair<string, IImageGenerator>("gpt2", BuildGpt2(s, q, _moderation, nn));
                     }
                 }
             }
@@ -535,8 +561,8 @@ private void DispatchPrompt(string rawLine)
             inflight.Task = Task.Run(() => ProcessOneAsync(inflight, gens.Select(kv => kv.Value).ToList()));
             lock (_lock) _inFlight.Add(inflight);
 
-            var overrideNote = (overrideSize != null || overrideQuality != null)
-                ? $"  override: size={overrideSize ?? "(sess)"} q={overrideQuality ?? "(sess)"}"
+            var overrideNote = (overrideSize != null || overrideQuality != null || overrideN != null)
+                ? $"  override: size={overrideSize ?? "(sess)"} q={overrideQuality ?? "(sess)"} n={(overrideN?.ToString() ?? "(sess)")}"
                 : "";
             Logger.Log($"[#{id}] queued ({gens.Count} gen{(gens.Count == 1 ? "" : "s")}){overrideNote}: {promptText}");
 
@@ -632,23 +658,24 @@ private async Task WaitAllAsync()
         // ---------------------------------------------------------------
 
         // Reconstruct the gpt-image-2 slot in _active with the current
-        // session-level size / quality / moderation so the next dispatch
+        // session-level size / quality / moderation / n so the next dispatch
         // picks them up. No-op if gpt2 isn't currently active.
         private void RebuildGpt2IfActive()
         {
             if (_active.ContainsKey("gpt2"))
             {
-                _active["gpt2"] = BuildGpt2(_size, _quality, _moderation);
+                _active["gpt2"] = BuildGpt2(_size, _quality, _moderation, _imageCount);
             }
         }
 
-        private IImageGenerator BuildGpt2(string size, string quality, string moderation)
+        private IImageGenerator BuildGpt2(string size, string quality, string moderation, int imageCount)
         {
             if (!Enum.TryParse<OpenAIGPTImageOneQuality>(quality, true, out var q))
             {
                 Console.WriteLine($"(unknown quality '{quality}', falling back to high)");
                 q = OpenAIGPTImageOneQuality.high;
             }
+            if (imageCount < 1) imageCount = 1;
             // Pass maxConcurrency = _concurrency so gpt-image-2's own internal
             // semaphore doesn't become the bottleneck when the REPL has
             // multiple prompts in flight. The prompt-level semaphore
@@ -666,7 +693,8 @@ private IImageGenerator BuildGpt2(string size, string quality, string moderation
                 stats: _stats,
                 name: "repl",
                 partialSaveFolder: _settings.ImageDownloadBaseFolder,
-                popUpPartials: false);
+                popUpPartials: false,
+                imageCount: imageCount);
         }
 
         private IImageGenerator BuildNamed(string name)
@@ -674,7 +702,7 @@ private IImageGenerator BuildNamed(string name)
             switch (name.ToLowerInvariant())
             {
                 case "gpt2":
-                    return BuildGpt2(_size, _quality, _moderation);
+                    return BuildGpt2(_size, _quality, _moderation, _imageCount);
 
                 case "grok":
                     // Standard tier priced per-image regardless of resolution
@@ -749,21 +777,28 @@ private static void RequireKey(string value, string settingName, string genName)
         // ---------------------------------------------------------------
 
         // Only applies the override to the gpt2 slot; other generators
-        // ignore per-call size/quality flags since they're parametrized
+        // ignore per-call size/quality/n flags since they're parametrized
         // at construction time.
-        private static (string size, string quality, string prompt) ParseOverrides(string line)
+        //
+        // Returned `imageCount` is null when no `n=` was supplied (session
+        // default wins). Parse errors (non-integer n, n<1) cause the whole
+        // line to be treated as a plain prompt — strictly safer than
+        // silently dispatching with the session default when the user
+        // intended an override.
+        private static (string size, string quality, int? imageCount, string prompt) ParseOverrides(string line)
         {
-            if (!line.StartsWith("[")) return (null, null, line);
+            if (!line.StartsWith("[")) return (null, null, null, line);
             var close = line.IndexOf(']');
-            if (close < 0) return (null, null, line);
+            if (close < 0) return (null, null, null, line);
             var inside = line.Substring(1, close - 1);
             var rest = line.Substring(close + 1).TrimStart();
 
             string size = null, quality = null;
+            int? imageCount = null;
             foreach (var tok in inside.Split(',', StringSplitOptions.RemoveEmptyEntries))
             {
                 var kv = tok.Split('=', 2);
-                if (kv.Length != 2) return (null, null, line);
+                if (kv.Length != 2) return (null, null, null, line);
                 var k = kv[0].Trim().ToLowerInvariant();
                 var v = kv[1].Trim();
                 switch (k)
@@ -776,13 +811,17 @@ private static (string size, string quality, string prompt) ParseOverrides(strin
                     case "q":
                         quality = v;
                         break;
+                    case "n":
+                        if (!int.TryParse(v, out var nv) || nv < 1) return (null, null, null, line);
+                        imageCount = nv;
+                        break;
                     default:
                         // Unrecognized key — fall back to treating the whole
                         // line as a plain prompt (safer than silently dropping).
-                        return (null, null, line);
+                        return (null, null, null, line);
                 }
             }
-            return (size, quality, rest);
+            return (size, quality, imageCount, rest);
         }
 
         // ---------------------------------------------------------------
@@ -804,7 +843,7 @@ private void PrintStatus()
 
         private void PrintShow()
         {
-            Console.WriteLine($"session: size={_size}  quality={_quality}  moderation={_moderation}  concurrency={_concurrency}");
+            Console.WriteLine($"session: size={_size}  quality={_quality}  moderation={_moderation}  n={_imageCount}  concurrency={_concurrency}");
             var names = _active.Count == 0 ? "(none)" : string.Join(" ", _active.Keys);
             Console.WriteLine($"active gens: {names}");
         }
@@ -822,10 +861,12 @@ private static void PrintHelp()
             Console.WriteLine();
             Console.WriteLine("Commands:");
             Console.WriteLine("  :show                    print current session defaults and active generators");
-            Console.WriteLine("  :size WxH                set gpt-image-2 size. Edges snap to multiples of 16, each <=3840,");
+            Console.WriteLine("  :size WxH                set gpt-image-2 size. Edges snap to multiples of 16, each <3840,");
             Console.WriteLine("                           total pixels 655360..8294400, aspect <=3:1, or 'auto'.");
+            Console.WriteLine("                           handy canonical sizes: 1024x1024, 1024x1536, 1536x1024, 2048x2048, 2560x1440 (QHD).");
             Console.WriteLine("  :quality low|medium|high set gpt-image-2 quality");
             Console.WriteLine("  :moderation auto|low     set gpt-image-2 moderation");
+            Console.WriteLine("  :n N                     set gpt-image-2 images-per-call (default 1). N>10 requires confirmation.");
             Console.WriteLine("  :concurrency N           max prompts in flight (applies to subsequent dispatches)");
             Console.WriteLine("  :gens list               list active generators");
             Console.WriteLine("  :gens add <name>         add a generator: gpt2 grok grokpro dalle3 ideogram recraft bfl google imagen4");
@@ -841,7 +882,7 @@ private static void PrintHelp()
             Console.WriteLine("  :quit  /  :exit          wait for in-flight jobs then exit");
             Console.WriteLine("                           (bare 'q', 'x', 'quit', 'exit' on a line by themselves also exit)");
             Console.WriteLine();
-            Console.WriteLine("Per-prompt override (gpt2 only): [size=1024x1024,q=low] a red apple on a white plate");
+            Console.WriteLine("Per-prompt override (gpt2 only): [size=1024x1024,q=low,n=4] a red apple on a white plate");
         }
 
         private static string Trunc(string s, int max)

From 1bb1422351e6e56095343e8b7e490abffc8c88cc Mon Sep 17 00:00:00 2001
From: ernie <ernestfrench@gmail.com>
Date: Wed, 10 Jun 2026 21:52:08 -0700
Subject: [PATCH 72/78] all-providers showcase, grok video + archive, ideogram
 v4; fix recraft v4/v4.1 sizes and cap bfl safety_tolerance at 5

Co-authored-by: Cursor <cursoragent@cursor.com>
---
 AGENTS.md                                     |   2 +-
 IdeogramAPI/IdeogramClient.cs                 |  34 ++
 .../request/IdeogramV4GenerateRequest.cs      |  43 ++
 .../response/V4/IdeogramV4GenerateResponse.cs |  24 ++
 .../Enums/GeneratorApiTypeExtensions.cs       |  17 +
 .../Enums/ImageGeneratorApiType.cs            |  22 +
 .../ImageGenerators/BFLGenerator.cs           |  14 +-
 .../ImageGenerators/GoogleGenerator.cs        |  97 ++++-
 .../ImageGenerators/GoogleImagen4Generator.cs |   7 +
 .../ImageGenerators/GrokImagineGenerator.cs   |  18 +-
 .../GrokImagineVideoGenerator.cs              | 304 +++++++++++++
 .../ImageGenerators/IdeogramV4Generator.cs    | 186 ++++++++
 .../ImageGenerators/RecraftGenerator.cs       |   9 +-
 MultiImageClient/Implementation/DlMirror.cs   |   1 +
 .../Implementation/GrokArchive.cs             | 404 ++++++++++++++++++
 MultiImageClient/Implementation/GrokLedger.cs | 112 +++++
 MultiImageClient/Program.cs                   |  31 ++
 MultiImageClient/RunOptions.cs                |  56 +++
 .../Workflows/AllProvidersShowcaseWorkflow.cs | 198 +++++++++
 MultiImageClient/Workflows/GeneratorGroups.cs | 168 +++++++-
 .../Workflows/GrokShowcaseWorkflow.cs         |   3 +-
 .../Workflows/GrokVideoModesWorkflow.cs       | 247 +++++++++++
 MultiImageClient/Workflows/ReplWorkflow.cs    |  21 +-
 .../MultiClientRunStats.cs                    |  13 +
 RecraftAPI/RecraftImageSize.cs                |   4 +-
 RecraftAPI/RecraftModel.cs                    |   8 +-
 XAIGrokAPI/XAIGrokClient.cs                   | 196 ++++++++-
 XAIGrokAPI/XAIGrokFileModels.cs               |  55 +++
 XAIGrokAPI/XAIGrokVideoModels.cs              | 204 +++++++++
 29 files changed, 2444 insertions(+), 54 deletions(-)
 create mode 100644 IdeogramAPI/request/IdeogramV4GenerateRequest.cs
 create mode 100644 IdeogramAPI/response/V4/IdeogramV4GenerateResponse.cs
 create mode 100644 MultiImageClient/ImageGenerators/GrokImagineVideoGenerator.cs
 create mode 100644 MultiImageClient/ImageGenerators/IdeogramV4Generator.cs
 create mode 100644 MultiImageClient/Implementation/GrokArchive.cs
 create mode 100644 MultiImageClient/Implementation/GrokLedger.cs
 create mode 100644 MultiImageClient/Workflows/AllProvidersShowcaseWorkflow.cs
 create mode 100644 MultiImageClient/Workflows/GrokVideoModesWorkflow.cs
 create mode 100644 XAIGrokAPI/XAIGrokFileModels.cs
 create mode 100644 XAIGrokAPI/XAIGrokVideoModels.cs

diff --git a/AGENTS.md b/AGENTS.md
index 08a85f4..237b75c 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -38,7 +38,7 @@ See `RunOptions.cs` for the source of truth; this is the current surface:
 - `--fast` — one fixed gpt-image-2 low/1024x1024/moderation=low call per prompt. Cheap smoke-test config.
 - `--quick-test` — like `--fast`, plus every streamed partial PNG is saved AND popped in the default viewer. Still asks y/n per prompt unless combined with `--auto`.
 - `--backfill-dl` — one-shot: mirror every image under `Settings.ImageDownloadBaseFolder` into `Settings.FlatImageMirrorPath` and exit.
-- `--repl` — **interactive prompt-by-prompt REPL with async dispatch**. Defaults: gpt-image-2 at 2048x2048 / high / moderation=low / n=1, up to 5 prompts in flight concurrently. Each line is either a prompt (fired asynchronously, stdin stays responsive) or a `:command`. Grids are built and saved but NOT opened in the viewer. Commands: `:size WxH`, `:quality low|medium|high`, `:moderation auto|low`, `:n N` (images per gpt-image-2 call; >10 requires confirmation), `:concurrency N`, `:gens list|add|remove|reset` (names: gpt2, dalle3, ideogram, recraft, bfl, google, imagen4), `:status`, `:wait`, `:last`, `:retry`, `:edit`, `:help`, `:quit`. Per-prompt override syntax: `[size=1024x1024,q=low,n=4] a red apple on a white plate`. Initial defaults can be pre-set from the command line via `--repl-size`, `--repl-quality`, `--repl-moderation`, `--repl-concurrency`, `--repl-n`. Implementation in `Workflows/ReplWorkflow.cs`.
+- `--repl` — **interactive prompt-by-prompt REPL with async dispatch**. Defaults: gpt-image-2 at 2048x2048 / high / moderation=low / n=1, up to 5 prompts in flight concurrently. Each line is either a prompt (fired asynchronously, stdin stays responsive) or a `:command`. Grids are built and saved but NOT opened in the viewer. Commands: `:size WxH`, `:quality low|medium|high`, `:moderation auto|low`, `:n N` (images per gpt-image-2 call; >10 requires confirmation), `:concurrency N`, `:gens list|add|remove|reset` (names: gpt2, dalle3, ideogram, recraft, bfl, google, googlepro, imagen4 — imagen4 dead after 2026-06-24), `:status`, `:wait`, `:last`, `:retry`, `:edit`, `:help`, `:quit`. Per-prompt override syntax: `[size=1024x1024,q=low,n=4] a red apple on a white plate`. Initial defaults can be pre-set from the command line via `--repl-size`, `--repl-quality`, `--repl-moderation`, `--repl-concurrency`, `--repl-n`. Implementation in `Workflows/ReplWorkflow.cs`.
 
 ## Coding Style & Naming Conventions
 Use 4-space indentation and .NET naming: PascalCase for public types/methods, camelCase for locals, Async suffix for asynchronous methods. Favor explicit types for shared models; use `var` only when the type is obvious. Route new configuration through `ImageGenerationClasses/Settings.cs` instead of ad-hoc JSON parsing. Python utilities under `djangoManager/` should follow PEP 8 snake_case, with comments reserved for non-obvious prompt logic.
diff --git a/IdeogramAPI/IdeogramClient.cs b/IdeogramAPI/IdeogramClient.cs
index 706bf69..3d16c8d 100644
--- a/IdeogramAPI/IdeogramClient.cs
+++ b/IdeogramAPI/IdeogramClient.cs
@@ -97,6 +97,40 @@ public async Task<IdeogramV3GenerateResponse> GenerateImageV3Async(IdeogramV3Gen
             }
         }
 
+        /// Ideogram 4.0 (2026-06-03): plain JSON POST, unlike v3's multipart
+        /// form. 2K-native output, rendering_speed FLASH|TURBO|DEFAULT|QUALITY.
+        public async Task<IdeogramV4GenerateResponse> GenerateImageV4Async(IdeogramV4GenerateRequest request)
+        {
+            if (request == null)
+                throw new ArgumentNullException(nameof(request));
+
+            if (string.IsNullOrWhiteSpace(request.TextPrompt))
+                throw new ArgumentException("TextPrompt is required for Ideogram v4 generation.", nameof(request));
+
+            var jsonRequest = JsonConvert.SerializeObject(request, new JsonSerializerSettings
+            {
+                NullValueHandling = NullValueHandling.Ignore,
+            });
+            var httpContent = new StringContent(jsonRequest, System.Text.Encoding.UTF8, "application/json");
+
+            var response = await _httpClient.PostAsync("/v1/ideogram-v4/generate", httpContent);
+
+            if (!response.IsSuccessStatusCode)
+            {
+                var errorContent = await response.Content.ReadAsStringAsync();
+                throw new HttpRequestException($"API request failed with status code {response.StatusCode}. Response: {errorContent}");
+            }
+
+            var content = await response.Content.ReadAsStringAsync();
+            var generateResponse = JsonConvert.DeserializeObject<IdeogramV4GenerateResponse>(content);
+            if (generateResponse == null)
+            {
+                throw new InvalidDataException("Failed to deserialize Ideogram v4 response.");
+            }
+
+            return generateResponse;
+        }
+
         public async Task<IdeogramDescribeResponse> DescribeImageAsync(IdeogramDescribeRequest request)
         {
             using (var formData = new MultipartFormDataContent())
diff --git a/IdeogramAPI/request/IdeogramV4GenerateRequest.cs b/IdeogramAPI/request/IdeogramV4GenerateRequest.cs
new file mode 100644
index 0000000..b05c120
--- /dev/null
+++ b/IdeogramAPI/request/IdeogramV4GenerateRequest.cs
@@ -0,0 +1,43 @@
+using Newtonsoft.Json;
+
+namespace IdeogramAPIClient
+{
+    /// Request body for POST /v1/ideogram-v4/generate (Ideogram 4.0,
+    /// released 2026-06-03). Unlike v3 (multipart form), v4 takes a plain
+    /// JSON body.
+    ///
+    /// Only TextPrompt is required. We deliberately expose the simple
+    /// text_prompt path; the alternative structured `json_prompt` contract
+    /// (mutually exclusive with text_prompt, disables magic-prompt) can be
+    /// added later if we want compositional control.
+    ///
+    /// Docs: https://developer.ideogram.ai/api-reference/api-reference/generate-v4
+    public class IdeogramV4GenerateRequest
+    {
+        public IdeogramV4GenerateRequest(string textPrompt)
+        {
+            TextPrompt = textPrompt;
+        }
+
+        [JsonProperty("text_prompt")]
+        public string TextPrompt { get; set; }
+
+        /// One of the documented 2K-class resolutions, e.g. "2048x2048"
+        /// (square, the default), "2304x1728" (4:3), "1728x2304" (3:4),
+        /// "2560x1440" (16:9), "1440x2560" (9:16), "2496x1664" (3:2), etc.
+        /// Null lets the API pick (2048x2048).
+        [JsonProperty("resolution", NullValueHandling = NullValueHandling.Ignore)]
+        public string Resolution { get; set; }
+
+        /// FLASH | TURBO | DEFAULT | QUALITY. Null = DEFAULT.
+        [JsonProperty("rendering_speed", NullValueHandling = NullValueHandling.Ignore)]
+        [JsonConverter(typeof(Newtonsoft.Json.Converters.StringEnumConverter))]
+        public IdeogramRenderingSpeed? RenderingSpeed { get; set; }
+
+        [JsonProperty("num_images", NullValueHandling = NullValueHandling.Ignore)]
+        public int? NumImages { get; set; }
+
+        [JsonProperty("seed", NullValueHandling = NullValueHandling.Ignore)]
+        public int? Seed { get; set; }
+    }
+}
diff --git a/IdeogramAPI/response/V4/IdeogramV4GenerateResponse.cs b/IdeogramAPI/response/V4/IdeogramV4GenerateResponse.cs
new file mode 100644
index 0000000..b433e04
--- /dev/null
+++ b/IdeogramAPI/response/V4/IdeogramV4GenerateResponse.cs
@@ -0,0 +1,24 @@
+using System;
+using System.Collections.Generic;
+using Newtonsoft.Json;
+
+namespace IdeogramAPIClient
+{
+    /// Response from POST /v1/ideogram-v4/generate. The per-image objects
+    /// share the v3 wire shape (url / prompt / resolution / is_image_safe /
+    /// seed) so we reuse IdeogramV3ImageObject. Note: in v4, `prompt` comes
+    /// back as the model's expanded STRUCTURED JSON prompt (a serialized
+    /// object), not a plain rewritten sentence.
+    public class IdeogramV4GenerateResponse
+    {
+        /// Always "url" for this endpoint shape.
+        [JsonProperty("response_type")]
+        public string ResponseType { get; set; } = string.Empty;
+
+        [JsonProperty("created")]
+        public DateTime Created { get; set; }
+
+        [JsonProperty("data")]
+        public List<IdeogramV3ImageObject> Data { get; set; } = new List<IdeogramV3ImageObject>();
+    }
+}
diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index 3e459b3..e7698ca 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -21,8 +21,25 @@ public static string GetFileExtension(this ImageGeneratorApiType generator)
                 ImageGeneratorApiType.GptImage1Mini => ".png",
                 ImageGeneratorApiType.GptImage2 => ".png",
                 ImageGeneratorApiType.GoogleNanoBanana => ".png",
+                ImageGeneratorApiType.GoogleNanoBananaPro => ".png",
                 ImageGeneratorApiType.GoogleImagen4 => ".png",
                 ImageGeneratorApiType.IdeogramV3 => ".png",
+                ImageGeneratorApiType.IdeogramV4 => ".png",
+                ImageGeneratorApiType.BFLFlux2Pro => ".png",
+                ImageGeneratorApiType.BFLFlux2ProPreview => ".png",
+                ImageGeneratorApiType.BFLFlux2Max => ".png",
+                ImageGeneratorApiType.BFLFlux2Flex => ".png",
+                ImageGeneratorApiType.BFLFlux2Klein4b => ".png",
+                ImageGeneratorApiType.BFLFlux2Klein9b => ".png",
+                ImageGeneratorApiType.BFLFluxKontextPro => ".png",
+                ImageGeneratorApiType.BFLFluxKontextMax => ".png",
+                ImageGeneratorApiType.RecraftV4 => ".png",
+                ImageGeneratorApiType.RecraftV4Pro => ".png",
+                ImageGeneratorApiType.RecraftV41 => ".png",
+                ImageGeneratorApiType.RecraftV41Pro => ".png",
+                ImageGeneratorApiType.GrokImagine => ".png",
+                ImageGeneratorApiType.GrokImaginePro => ".png",
+                ImageGeneratorApiType.GrokImagineVideo => ".mp4",
                 _ => throw new ArgumentException("Unknown image generator type while picking file extension:", nameof(generator))
             };
         }
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 59c99a1..b3a7ff4 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -37,5 +37,27 @@ public enum ImageGeneratorApiType
         //   GrokImaginePro  -> grok-imagine-image-pro    ($0.07/image,  30 rpm)
         GrokImagine = 22,
         GrokImaginePro = 23,
+
+        // xAI Grok Imagine VIDEO (grok-imagine-video). Asynchronous: start +
+        // poll. Produces mp4, not png — the generator saves the clip itself
+        // and returns a rendered "video card" for the combined grid.
+        GrokImagineVideo = 24,
+
+        // Ideogram 4.0 (released 2026-06-03): POST /v1/ideogram-v4/generate,
+        // JSON body, 2K-native output, rendering_speed FLASH|TURBO|DEFAULT|QUALITY.
+        IdeogramV4 = 25,
+
+        // Recraft V4.1 family (2026). API model strings recraftv4_1 / recraftv4_1_pro.
+        RecraftV41 = 26,
+        RecraftV41Pro = 27,
+
+        // Google Gemini 3 Pro Image ("Nano Banana Pro") — professional tier,
+        // advanced reasoning, up to 4K. The flash tier (GoogleNanoBanana)
+        // now maps to gemini-3.1-flash-image ("Nano Banana 2").
+        GoogleNanoBananaPro = 28,
+
+        // BFL flux-2-pro-preview: where BFL lands the latest [pro]
+        // improvements first. Same API contract as flux-2-pro.
+        BFLFlux2ProPreview = 29,
     }
 }
diff --git a/MultiImageClient/ImageGenerators/BFLGenerator.cs b/MultiImageClient/ImageGenerators/BFLGenerator.cs
index 3650d73..282f984 100644
--- a/MultiImageClient/ImageGenerators/BFLGenerator.cs
+++ b/MultiImageClient/ImageGenerators/BFLGenerator.cs
@@ -45,6 +45,7 @@ public string GetFilenamePart(PromptDetails pd)
             {
                 case ImageGeneratorApiType.BFLv11:
                 case ImageGeneratorApiType.BFLFlux2Pro:
+                case ImageGeneratorApiType.BFLFlux2ProPreview:
                 case ImageGeneratorApiType.BFLFlux2Max:
                 case ImageGeneratorApiType.BFLFlux2Flex:
                 case ImageGeneratorApiType.BFLFlux2Klein4b:
@@ -95,6 +96,7 @@ public decimal GetCost()
                 // FLUX.2 is megapixel-priced; the numbers below are the headline
                 // rate at 1 MP output and will under-report for larger sizes.
                 case ImageGeneratorApiType.BFLFlux2Pro:
+                case ImageGeneratorApiType.BFLFlux2ProPreview:
                     return 0.03m;
                 case ImageGeneratorApiType.BFLFlux2Max:
                     return 0.07m;
@@ -115,6 +117,10 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
             try
             {
                 GenerationResponse generationResponse = null;
+                // BFL rejects safety_tolerance 6 with a 403 ("safety_tolerance > 5
+                // requires authorization") on normal accounts; 5 is the max
+                // permissive value available to us.
+                const int MaxPermissiveSafetyTolerance = 5;
                 switch (_apiType)
                 {
                     case ImageGeneratorApiType.BFLv11:
@@ -125,7 +131,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                             Width = _width,
                             Height = _height,
                             PromptUpsampling = _promptUpsampling,
-                            SafetyTolerance = 6
+                            SafetyTolerance = MaxPermissiveSafetyTolerance
                         };
                         generationResponse = await _bflClient.GenerateFluxPro11Async(request);
                         break;
@@ -139,12 +145,13 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                             PromptUpsampling = _promptUpsampling,
                             Width = _width,
                             Height = _height,
-                            SafetyTolerance = 6
+                            SafetyTolerance = MaxPermissiveSafetyTolerance
                         };
                         generationResponse = await _bflClient.GenerateFluxPro11UltraAsync(request);
                         break;
                     }
                     case ImageGeneratorApiType.BFLFlux2Pro:
+                    case ImageGeneratorApiType.BFLFlux2ProPreview:
                     case ImageGeneratorApiType.BFLFlux2Max:
                     case ImageGeneratorApiType.BFLFlux2Flex:
                     case ImageGeneratorApiType.BFLFlux2Klein4b:
@@ -156,7 +163,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                             Width = _width,
                             Height = _height,
                             PromptUpsampling = _promptUpsampling,
-                            SafetyTolerance = 6,
+                            SafetyTolerance = MaxPermissiveSafetyTolerance,
                         };
                         // flex lets you steer denoising; keep it permissive by default.
                         if (_apiType == ImageGeneratorApiType.BFLFlux2Flex)
@@ -168,6 +175,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                         generationResponse = _apiType switch
                         {
                             ImageGeneratorApiType.BFLFlux2Pro => await _bflClient.GenerateFlux2ProAsync(request),
+                            ImageGeneratorApiType.BFLFlux2ProPreview => await _bflClient.GenerateFlux2ProPreviewAsync(request),
                             ImageGeneratorApiType.BFLFlux2Max => await _bflClient.GenerateFlux2MaxAsync(request),
                             ImageGeneratorApiType.BFLFlux2Flex => await _bflClient.GenerateFlux2FlexAsync(request),
                             ImageGeneratorApiType.BFLFlux2Klein4b => await _bflClient.GenerateFlux2Klein4bAsync(request),
diff --git a/MultiImageClient/ImageGenerators/GoogleGenerator.cs b/MultiImageClient/ImageGenerators/GoogleGenerator.cs
index 09004ee..c7229bd 100644
--- a/MultiImageClient/ImageGenerators/GoogleGenerator.cs
+++ b/MultiImageClient/ImageGenerators/GoogleGenerator.cs
@@ -17,19 +17,47 @@ public class GoogleGenerator : IImageGenerator
         private MultiClientRunStats _stats;
         private string _name;
         private ImageGeneratorApiType _apiType;
+        private string _aspectRatio;
+        private string _imageSize;
 
-        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GoogleNanoBanana;
+        public ImageGeneratorApiType ApiType => _apiType;
 
+        /// Gemini image-model slug per tier. June 2026 status: all dedicated
+        /// Imagen endpoints shut down 2026-06-24..30; Gemini Image ("Nano
+        /// Banana") models are Google's official replacement.
+        ///   GoogleNanoBanana    -> gemini-3.1-flash-image ("Nano Banana 2",
+        ///                          fast/cheap tier, successor to 2.5-flash-image)
+        ///   GoogleNanoBananaPro -> gemini-3-pro-image ("Nano Banana Pro",
+        ///                          reasoning/"thinking" tier, hi-fi text, up to 4K)
+        private static string ModelFor(ImageGeneratorApiType apiType) => apiType switch
+        {
+            ImageGeneratorApiType.GoogleNanoBananaPro => "gemini-3-pro-image",
+            _ => "gemini-3.1-flash-image",
+        };
+
+        /// aspectRatio: "1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4",
+        ///   "9:16", "16:9", "21:9" — or null to let the model decide (1:1 default).
+        /// imageSize: "512" (3.1-flash only), "1K", "2K", "4K" (K must be
+        ///   uppercase) — or null for the API default (1K). Per the token
+        ///   table, 2K costs the same tokens as 1K; only 4K is pricier.
         public GoogleGenerator(ImageGeneratorApiType apiType, string apiKey, int maxConcurrency,
-            MultiClientRunStats stats, string name = "")
+            MultiClientRunStats stats, string name = "",
+            string aspectRatio = null, string imageSize = null)
         {
+            if (apiType != ImageGeneratorApiType.GoogleNanoBanana && apiType != ImageGeneratorApiType.GoogleNanoBananaPro)
+            {
+                throw new ArgumentException(
+                    $"GoogleGenerator only supports GoogleNanoBanana or GoogleNanoBananaPro, got {apiType}.",
+                    nameof(apiType));
+            }
             _apiKey = apiKey;
             _googleSemaphore = new SemaphoreSlim(maxConcurrency);
             _httpClient = new HttpClient();
             _name = string.IsNullOrEmpty(name) ? "" : name;
             _stats = stats;
             _apiType = apiType;
-
+            _aspectRatio = aspectRatio;
+            _imageSize = imageSize;
         }
 
         public string GetFilenamePart(PromptDetails pd)
@@ -39,15 +67,19 @@ public string GetFilenamePart(PromptDetails pd)
 
         public decimal GetCost()
         {
-            // Gemini 2.5 Flash Image uses token-based pricing
-            // $30 per 1 million tokens for image output (1290 tokens per image up to 1024x1024px)
+            // Gemini image models use token-based pricing ($30/1M output tokens).
+            // Per the docs' token table, 1K and 2K outputs both cost ~1120
+            // tokens; 4K costs ~2000. Pro additionally burns "thinking" tokens;
+            // ~$0.13/image is a reasonable 1K/2K estimate until we wire usage
+            // parsing.
+            var sizeMultiplier = _imageSize == "4K" ? (2000m / 1120m) : 1m;
             if (_apiType == ImageGeneratorApiType.GoogleNanoBanana)
             {
-                return (30m / 1000000m) * 1290m;
+                return (30m / 1000000m) * 1120m * sizeMultiplier;
             }
-            else if (_apiType == ImageGeneratorApiType.GoogleImagen4)
+            else if (_apiType == ImageGeneratorApiType.GoogleNanoBananaPro)
             {
-                return 0.04m;
+                return 0.13m * sizeMultiplier;
             }
             else
             {
@@ -57,7 +89,16 @@ public decimal GetCost()
 
         public List<string> GetRightParts()
         {
-            return new List<string> { _apiType.ToString() };
+            var parts = new List<string> { _apiType.ToString() };
+            if (!string.IsNullOrEmpty(_aspectRatio))
+            {
+                parts.Add(_aspectRatio);
+            }
+            if (!string.IsNullOrEmpty(_imageSize))
+            {
+                parts.Add(_imageSize);
+            }
+            return parts;
         }
 
         public string GetGeneratorSpecPart()
@@ -79,8 +120,29 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
             {
                 _stats.GoogleRequestCount++;
 
-                // Google Gemini API endpoint for native image generation (Nano Banana)
-                var apiUrl = $"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image-preview:generateContent";
+                // Google Gemini API endpoint for native image generation (Nano Banana).
+                // Model slug per tier — see ModelFor(). The old
+                // gemini-2.5-flash-image-preview slug was retired with the
+                // June 2026 Imagen/preview shutdown wave.
+                var apiUrl = $"https://generativelanguage.googleapis.com/v1beta/models/{ModelFor(_apiType)}:generateContent";
+
+                var generationConfig = new Dictionary<string, object>
+                {
+                    ["responseModalities"] = new[] { "TEXT", "IMAGE" }
+                };
+                var imageConfig = new Dictionary<string, object>();
+                if (!string.IsNullOrEmpty(_aspectRatio))
+                {
+                    imageConfig["aspectRatio"] = _aspectRatio;
+                }
+                if (!string.IsNullOrEmpty(_imageSize))
+                {
+                    imageConfig["imageSize"] = _imageSize;
+                }
+                if (imageConfig.Count > 0)
+                {
+                    generationConfig["imageConfig"] = imageConfig;
+                }
 
                 var requestBody = new
                 {
@@ -94,10 +156,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                             }
                         }
                     },
-                    generationConfig = new
-                    {
-                        responseModalities = new[] { "TEXT", "IMAGE" }
-                    }
+                    generationConfig
                 };
 
                 var json = JsonSerializer.Serialize(requestBody);
@@ -133,6 +192,9 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 if (responseData?.candidates?.Length > 0)
                 {
                     var base64Images = new List<CreatedBase64Image>();
+                    // Gemini image models typically return image/jpeg; trust the
+                    // declared mime type so downstream conversion-to-png triggers.
+                    string contentType = null;
 
                     foreach (var candidate in responseData.candidates)
                     {
@@ -149,6 +211,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                                         newPrompt = promptDetails.Prompt
                                     };
                                     base64Images.Add(bd);
+                                    contentType ??= part.inlineData.mimeType;
                                 }
                                 // Log any text responses for debugging
                                 else if (!string.IsNullOrEmpty(part.text))
@@ -166,7 +229,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                         {
                             IsSuccess = true,
                             Base64ImageDatas = base64Images,
-                            ContentType = "image/png",
+                            ContentType = contentType ?? "image/png",
                             ErrorMessage = "",
                             PromptDetails = promptDetails,
                             ImageGenerator = GetImageGeneratorType(),
@@ -186,7 +249,7 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
             }
             catch (Exception ex)
             {
-                var errorMessage = $"Google Imagen Generator error: {ex.Message}";
+                var errorMessage = $"Google Gemini image generator error: {ex.Message}";
                 return new TaskProcessResult
                 {
                     IsSuccess = false,
diff --git a/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs b/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
index 903ee52..589321c 100644
--- a/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
+++ b/MultiImageClient/ImageGenerators/GoogleImagen4Generator.cs
@@ -13,6 +13,13 @@
 
 namespace MultiImageClient
 {
+    /// DEPRECATED — Google is shutting down ALL Imagen endpoints (including
+    /// imagen-4.0-generate-001 used here) on 2026-06-24..30. This generator
+    /// will stop working then. Migrate to GoogleGenerator with
+    /// GoogleNanoBanana (gemini-3.1-flash-image) or GoogleNanoBananaPro
+    /// (gemini-3-pro-image), which is Google's official replacement path.
+    /// Kept for reference until the shutdown actually lands.
+    [Obsolete("All Google Imagen endpoints shut down 2026-06-24..30; use GoogleGenerator (Gemini image models) instead.")]
     public class GoogleImagen4Generator : IImageGenerator
     {
         private readonly SemaphoreSlim _googleSemaphore;
diff --git a/MultiImageClient/ImageGenerators/GrokImagineGenerator.cs b/MultiImageClient/ImageGenerators/GrokImagineGenerator.cs
index ab22b9f..2de4ba3 100644
--- a/MultiImageClient/ImageGenerators/GrokImagineGenerator.cs
+++ b/MultiImageClient/ImageGenerators/GrokImagineGenerator.cs
@@ -33,6 +33,8 @@ public class GrokImagineGenerator : IImageGenerator
 
         public ImageGeneratorApiType ApiType => _apiType;
 
+        private readonly Settings? _settings;
+
         /// apiType         — GrokImagine or GrokImaginePro.
         /// aspectRatio     — one of the xAI-documented AR strings ("1:1", "3:4",
         ///                    "4:3", "16:9", etc.), or "auto" to let xAI pick.
@@ -40,6 +42,9 @@ public class GrokImagineGenerator : IImageGenerator
         /// resolution      — "1k" | "2k".
         /// responseFormat  — "url" (default) or "b64_json". "url" is fine for
         ///                    batch runs since we download immediately.
+        /// settings        — optional; when provided, every successful
+        ///                    generation is appended to the Grok history
+        ///                    ledger (grok_ledger.jsonl) for archive/sync.
         public GrokImagineGenerator(
             string apiKey,
             int maxConcurrency,
@@ -49,8 +54,10 @@ public GrokImagineGenerator(
             string aspectRatio = "1:1",
             string quality = "high",
             string resolution = "1k",
-            string responseFormat = "url")
+            string responseFormat = "url",
+            Settings? settings = null)
         {
+            _settings = settings;
             if (apiType != ImageGeneratorApiType.GrokImagine && apiType != ImageGeneratorApiType.GrokImaginePro)
             {
                 throw new ArgumentException(
@@ -216,6 +223,15 @@ public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generato
                 var usdLabel = usd.HasValue ? $" cost=${usd:0.####}" : string.Empty;
                 Logger.Log($"\t<- {TierLabel} [{_model}] OK in {sw.ElapsedMilliseconds} ms{usdLabel}");
 
+                GrokLedger.Append(_settings, new GrokLedgerEntry
+                {
+                    Kind = "image",
+                    Model = _model,
+                    Prompt = prompt,
+                    RemoteUrl = first.Url,
+                    Source = "live",
+                });
+
                 // URL path — typical response. We HEAD it to capture content-type
                 // so downstream conversion logic (webp/jpg -> png) kicks in.
                 if (!string.IsNullOrEmpty(first.Url))
diff --git a/MultiImageClient/ImageGenerators/GrokImagineVideoGenerator.cs b/MultiImageClient/ImageGenerators/GrokImagineVideoGenerator.cs
new file mode 100644
index 0000000..c926555
--- /dev/null
+++ b/MultiImageClient/ImageGenerators/GrokImagineVideoGenerator.cs
@@ -0,0 +1,304 @@
+#nullable enable
+using SixLabors.Fonts;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Processing;
+
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.IO;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+using XAIGrokAPIClient;
+
+namespace MultiImageClient
+{
+    /// VIDEO generator backed by xAI's asynchronous /v1/videos/generations
+    /// endpoint (grok-imagine-video). Dispatches exactly like any image
+    /// generator — it implements IImageGenerator and can sit in the same
+    /// multiplex list — but the deliverable is an mp4, which does not fit
+    /// the PNG-only save pipeline. So this generator:
+    ///
+    ///   1. starts the request, polls until done (5s cadence, bounded),
+    ///   2. downloads the mp4 itself into {ImageDownloadBaseFolder}\{day}\Video\
+    ///      (xAI's URLs are temporary, so we never rely on them later),
+    ///   3. mirrors the clip via DlMirror,
+    ///   4. renders a PNG "video card" (what/where/how long) and hands THAT
+    ///      to the combined-grid pipeline so contact sheets stay all-PNG.
+    ///
+    /// Pricing (xAI, 2026-06, approximate): per-second billing, roughly
+    /// $0.05/s at 480p and $0.10/s at 720p. GetCost() reflects that estimate.
+    public class GrokImagineVideoGenerator : IImageGenerator
+    {
+        private readonly SemaphoreSlim _semaphore;
+        private readonly XAIGrokClient _client;
+        private readonly HttpClient _httpClient;
+        private readonly MultiClientRunStats _stats;
+        private readonly Settings _settings;
+        private readonly string _name;
+        private readonly string _aspectRatio;
+        private readonly string _resolution;
+        private readonly int _durationSeconds;
+        private readonly TimeSpan _pollInterval;
+        private readonly TimeSpan _timeout;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.GrokImagineVideo;
+
+        /// durationSeconds — xAI range [1, 15]; default 6 keeps cost and
+        ///   poll time low for smoke tests.
+        /// resolution      — "480p" (default tier, fastest) | "720p" | "1080p".
+        public GrokImagineVideoGenerator(
+            string apiKey,
+            int maxConcurrency,
+            MultiClientRunStats stats,
+            Settings settings,
+            string name = "",
+            string aspectRatio = "16:9",
+            string resolution = "480p",
+            int durationSeconds = 6,
+            int pollSeconds = 5,
+            int timeoutMinutes = 10)
+        {
+            if (durationSeconds < 1 || durationSeconds > 15)
+            {
+                throw new ArgumentOutOfRangeException(nameof(durationSeconds), "xAI video duration must be 1-15 seconds.");
+            }
+            _client = new XAIGrokClient(apiKey);
+            _httpClient = new HttpClient { Timeout = TimeSpan.FromMinutes(5) };
+            _semaphore = new SemaphoreSlim(maxConcurrency);
+            _stats = stats;
+            _settings = settings;
+            _name = name ?? string.Empty;
+            _aspectRatio = aspectRatio;
+            _resolution = resolution;
+            _durationSeconds = durationSeconds;
+            _pollInterval = TimeSpan.FromSeconds(pollSeconds);
+            _timeout = TimeSpan.FromMinutes(timeoutMinutes);
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var arLabel = string.IsNullOrWhiteSpace(_aspectRatio) ? "auto" : _aspectRatio.Replace(':', 'x');
+            var nameLabel = string.IsNullOrEmpty(_name) ? "" : $"_{_name}";
+            return $"grok-video_{arLabel}_{_resolution}_{_durationSeconds}s{nameLabel}";
+        }
+
+        public List<string> GetRightParts()
+        {
+            var parts = new List<string>
+            {
+                "xAI Grok Imagine Video",
+                XAIGrokClient.ModelGrokImagineVideo,
+                $"AR {_aspectRatio}",
+                _resolution,
+                $"{_durationSeconds}s",
+            };
+            if (!string.IsNullOrEmpty(_name)) parts.Add(_name);
+            return parts;
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            var line = $"xAI Grok Imagine Video  {_aspectRatio}  {_resolution}  {_durationSeconds}s";
+            if (!string.IsNullOrEmpty(_name)) line += $"  [{_name}]";
+            return line;
+        }
+
+        public decimal GetCost()
+        {
+            var perSecond = string.Equals(_resolution, "720p", StringComparison.OrdinalIgnoreCase) ? 0.10m
+                          : string.Equals(_resolution, "1080p", StringComparison.OrdinalIgnoreCase) ? 0.20m
+                          : 0.05m;
+            return perSecond * _durationSeconds;
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _semaphore.WaitAsync();
+            var sw = Stopwatch.StartNew();
+            try
+            {
+                _stats.GrokVideoGenerationRequestCount++;
+                var prompt = promptDetails.Prompt ?? string.Empty;
+
+                // storage_options => xAI keeps a durable, never-expiring copy in
+                // the team's Files API store. That's the only server-side
+                // history xAI exposes, so it's what makes `--grok-sync`
+                // able to re-download every clip later, from any machine.
+                var storedFilename = FilenameGenerator.SanitizeFilename(
+                    $"{DateTime.UtcNow:yyyyMMddHHmmss}_{GetFilenamePart(null!)}_{FilenameGenerator.TruncatePrompt(prompt, 80)}") + ".mp4";
+                var req = new XAIGrokVideoGenerateRequest
+                {
+                    Prompt = prompt,
+                    Model = XAIGrokClient.ModelGrokImagineVideo,
+                    Duration = _durationSeconds,
+                    AspectRatio = string.IsNullOrWhiteSpace(_aspectRatio) ? null : _aspectRatio,
+                    Resolution = string.IsNullOrWhiteSpace(_resolution) ? null : _resolution,
+                    StorageOptions = new XAIGrokVideoStorageOptions { Filename = storedFilename },
+                };
+
+                Logger.Log($"\t-> Grok Video [{XAIGrokClient.ModelGrokImagineVideo}] AR={_aspectRatio} res={_resolution} dur={_durationSeconds}s: {prompt}");
+                var result = await _client.GenerateVideoAsync(req, _pollInterval, _timeout);
+                sw.Stop();
+
+                var hasUrl = !string.IsNullOrEmpty(result.Video?.Url);
+                var hasStoredFile = !string.IsNullOrEmpty(result.Video?.FileOutput?.FileId);
+                if (!result.IsDone || (!hasUrl && !hasStoredFile))
+                {
+                    _stats.GrokVideoGenerationErrorCount++;
+                    var detail = result.Error != null
+                        ? $"{result.Error.Code}: {result.Error.Message}"
+                        : $"status={result.Status}";
+                    Logger.Log($"\t<- Grok Video FAIL {detail}");
+                    return Fail($"Grok video did not complete ({detail}).", promptDetails, generator, sw.ElapsedMilliseconds);
+                }
+
+                // xAI's direct video URLs are temporary — download immediately.
+                // With storage_options set we may instead (or also) get a durable
+                // Files API copy; prefer the temp URL, fall back to the file.
+                var mp4Bytes = hasUrl
+                    ? await _httpClient.GetByteArrayAsync(result.Video!.Url)
+                    : await _client.DownloadFileContentAsync(result.Video!.FileOutput!.FileId);
+                var mp4Path = SaveVideo(mp4Bytes, prompt);
+                DlMirror.Copy(mp4Path, _settings.FlatImageMirrorPath);
+
+                _stats.GrokVideoGenerationSuccessCount++;
+                var actualDuration = result.Video.Duration ?? _durationSeconds;
+                Logger.Log($"\t<- Grok Video OK in {sw.ElapsedMilliseconds} ms; {mp4Bytes.Length / 1024} KB, {actualDuration}s -> {mp4Path}");
+
+                GrokLedger.Append(_settings, new GrokLedgerEntry
+                {
+                    Kind = "video",
+                    Model = XAIGrokClient.ModelGrokImagineVideo,
+                    Prompt = prompt,
+                    RequestId = result.RequestId,
+                    FileId = result.Video.FileOutput?.FileId,
+                    RemoteUrl = result.Video.Url,
+                    LocalPath = mp4Path,
+                    Bytes = mp4Bytes.Length,
+                    Source = "live",
+                });
+
+                // PNG stand-in for the contact-sheet pipeline. The mp4 itself
+                // is already safe on disk; this card is just how a video shows
+                // up alongside the stills.
+                var card = RenderVideoCard(prompt, mp4Path, actualDuration, mp4Bytes.Length);
+
+                var processResult = new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    ContentType = "image/png",
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ApiType,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    CreateTotalMs = sw.ElapsedMilliseconds,
+                };
+                processResult.SetImageBytes(0, card);
+                return processResult;
+            }
+            catch (XAIGrokException ex)
+            {
+                sw.Stop();
+                _stats.GrokVideoGenerationErrorCount++;
+                Logger.Log($"\t<- Grok Video FAIL http={ex.StatusCode}: {Truncate(ex.ResponseBody, 500)}");
+                return Fail($"{ex.StatusCode}: {Truncate(ex.ResponseBody, 300)}", promptDetails, generator, sw.ElapsedMilliseconds);
+            }
+            catch (Exception ex)
+            {
+                sw.Stop();
+                _stats.GrokVideoGenerationErrorCount++;
+                Logger.Log($"\t<- Grok Video EXCEPTION: {ex.Message}");
+                return Fail(ex.Message, promptDetails, generator, sw.ElapsedMilliseconds);
+            }
+            finally
+            {
+                _semaphore.Release();
+            }
+        }
+
+        private TaskProcessResult Fail(string message, PromptDetails pd, IImageGenerator generator, long elapsedMs)
+        {
+            return new TaskProcessResult
+            {
+                IsSuccess = false,
+                ErrorMessage = message,
+                PromptDetails = pd,
+                ImageGenerator = ApiType,
+                ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                CreateTotalMs = elapsedMs,
+            };
+        }
+
+        /// Writes the mp4 under {ImageDownloadBaseFolder}\{yyyy-MM-dd-dddd}\Video\
+        /// (same day-folder convention as image saves) and returns the path.
+        private string SaveVideo(byte[] mp4Bytes, string prompt)
+        {
+            var dayFolder = Path.Combine(_settings.ImageDownloadBaseFolder, DateTime.Now.ToString("yyyy-MM-dd-dddd"));
+            var videoFolder = Path.Combine(dayFolder, "Video");
+            Directory.CreateDirectory(videoFolder);
+
+            var stem = FilenameGenerator.SanitizeFilename(
+                $"{DateTime.Now:yyyyMMddHHmmss}_{GetFilenamePart(null!)}_{FilenameGenerator.TruncatePrompt(prompt, 90)}");
+            var path = Path.Combine(videoFolder, $"{stem}.mp4");
+            int count = 1;
+            while (File.Exists(path))
+            {
+                path = Path.Combine(videoFolder, $"{stem}_{count:D4}.mp4");
+                count++;
+            }
+            File.WriteAllBytes(path, mp4Bytes);
+            return path;
+        }
+
+        /// Renders the PNG "video card" cell used in combined grids: a film-
+        /// style header band, the key facts in black, and the saved path so a
+        /// viewer of the sheet can find the actual clip.
+        private byte[] RenderVideoCard(string prompt, string mp4Path, int durationSeconds, long sizeBytes)
+        {
+            const int width = 1024;
+            const int height = 576; // 16:9 to telegraph "this one is a video"
+
+            using var image = ImageUtils.CreateStandardImage(width, height, UIConstants.White);
+            // Title is auto-sized to guarantee a single line inside the gold
+            // band; everything below is wrapped, with the band heights sized
+            // generously so wrapped lines never spill into the next section.
+            var titleFont = ImageUtils.AutoSizeFont("VIDEO — xAI Grok Imagine", width, 34, 16, FontStyle.Bold);
+            var bodyFont = FontUtils.CreateFont(22, FontStyle.Regular);
+            var pathFont = FontUtils.CreateFont(15, FontStyle.Regular);
+
+            image.Mutate(ctx =>
+            {
+                ctx.ApplyStandardGraphicsOptions();
+
+                // Gold header band — film-leader feel, and gold is one of the
+                // approved semantic colors (see AGENTS.md typography policy).
+                ctx.DrawTextWithBackground(new RectangleF(0, 0, width, 70),
+                    "VIDEO — xAI Grok Imagine", titleFont, UIConstants.Black, UIConstants.Gold);
+
+                var facts = $"{XAIGrokClient.ModelGrokImagineVideo}   {_aspectRatio}   {_resolution}   {durationSeconds}s   {sizeBytes / 1024} KB";
+                ctx.DrawTextWithBackground(new RectangleF(0, 90, width, 50),
+                    facts, bodyFont, UIConstants.Black, UIConstants.White);
+
+                ctx.DrawTextWithBackground(new RectangleF(0, 160, width, 230),
+                    Truncate(prompt, 320), bodyFont, UIConstants.Black, UIConstants.White,
+                    SixLabors.Fonts.HorizontalAlignment.Left);
+
+                ctx.DrawTextWithBackground(new RectangleF(0, height - 160, width, 150),
+                    $"saved to:\n{mp4Path}", pathFont, UIConstants.SuccessGreen, UIConstants.White,
+                    SixLabors.Fonts.HorizontalAlignment.Left);
+            });
+
+            using var ms = new MemoryStream();
+            image.SaveAsPng(ms);
+            return ms.ToArray();
+        }
+
+        private static string Truncate(string s, int max)
+        {
+            if (string.IsNullOrEmpty(s)) return s ?? string.Empty;
+            return s.Length <= max ? s : s.Substring(0, max) + "...";
+        }
+    }
+}
diff --git a/MultiImageClient/ImageGenerators/IdeogramV4Generator.cs b/MultiImageClient/ImageGenerators/IdeogramV4Generator.cs
new file mode 100644
index 0000000..906ded9
--- /dev/null
+++ b/MultiImageClient/ImageGenerators/IdeogramV4Generator.cs
@@ -0,0 +1,186 @@
+using MultiImageClient;
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Net.Http;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace IdeogramAPIClient
+{
+    /// Image generator backed by Ideogram 4.0 (POST /v1/ideogram-v4/generate,
+    /// released 2026-06-03). 2K-native output; rendering_speed trades latency
+    /// against fidelity (FLASH cheapest/fastest -> QUALITY best).
+    ///
+    /// v4 has no style_type/magic_prompt knobs — plain text_prompt is
+    /// auto-expanded into a structured JSON prompt server-side, and that
+    /// expansion comes back in data[0].prompt (as serialized JSON).
+    public class IdeogramV4Generator : IImageGenerator
+    {
+        private readonly SemaphoreSlim _semaphore;
+        private readonly IdeogramClient _client;
+        private readonly MultiClientRunStats _stats;
+        private readonly string _resolution;
+        private readonly IdeogramRenderingSpeed _renderingSpeed;
+        private readonly string _name;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.IdeogramV4;
+
+        /// resolution — one of the documented v4 2K strings ("2048x2048",
+        ///   "2304x1728", "2560x1440", ...), or null/empty to let the API
+        ///   default to 2048x2048.
+        public IdeogramV4Generator(
+            string apiKey,
+            int maxConcurrency,
+            string resolution,
+            IdeogramRenderingSpeed renderingSpeed,
+            MultiClientRunStats stats,
+            string name)
+        {
+            _client = new IdeogramClient(apiKey);
+            _semaphore = new SemaphoreSlim(maxConcurrency);
+            _stats = stats;
+            _resolution = resolution ?? string.Empty;
+            _renderingSpeed = renderingSpeed;
+            _name = string.IsNullOrEmpty(name) ? "" : name;
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var parts = new List<string> { "IdeogramV4" };
+            if (!string.IsNullOrEmpty(_name))
+            {
+                parts.Add(_name);
+            }
+            if (!string.IsNullOrEmpty(_resolution))
+            {
+                parts.Add(_resolution);
+            }
+            parts.Add(_renderingSpeed.ToString());
+            return string.Join("_", parts.Where(p => !string.IsNullOrEmpty(p)));
+        }
+
+        public List<string> GetRightParts()
+        {
+            var contents = new List<string> { "ideogram v4" };
+            if (!string.IsNullOrEmpty(_name))
+            {
+                contents.Add(_name);
+            }
+            if (!string.IsNullOrEmpty(_resolution))
+            {
+                contents.Add(_resolution);
+            }
+            contents.Add(_renderingSpeed.ToString());
+            return contents;
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (!string.IsNullOrEmpty(_name))
+            {
+                return _name;
+            }
+            return $"ideogram-v4 {_renderingSpeed}";
+        }
+
+        public decimal GetCost()
+        {
+            // Per-image pricing varies by rendering_speed; Ideogram's pricing
+            // page lists v4 DEFAULT around $0.08 with FLASH/TURBO cheaper and
+            // QUALITY pricier. Rough estimates until we wire exact rates.
+            return _renderingSpeed switch
+            {
+                IdeogramRenderingSpeed.FLASH => 0.025m,
+                IdeogramRenderingSpeed.TURBO => 0.04m,
+                IdeogramRenderingSpeed.QUALITY => 0.12m,
+                _ => 0.08m,
+            };
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _semaphore.WaitAsync();
+            try
+            {
+                _stats.IdeogramV4RequestCount++;
+
+                var request = new IdeogramV4GenerateRequest(promptDetails.Prompt)
+                {
+                    Resolution = string.IsNullOrWhiteSpace(_resolution) ? null : _resolution,
+                    RenderingSpeed = _renderingSpeed,
+                };
+
+                var response = await _client.GenerateImageV4Async(request);
+
+                if (response?.Data == null || response.Data.Count == 0)
+                {
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = "No images generated",
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ImageGeneratorApiType.IdeogramV4,
+                        GenericImageErrorType = GenericImageGenerationErrorType.NoImagesGenerated,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                    };
+                }
+
+                var imageObject = response.Data[0];
+
+                if (!imageObject.IsImageSafe)
+                {
+                    _stats.IdeogramV4RefusedCount++;
+                }
+
+                // v4 returns the server-side structured-JSON prompt expansion in
+                // `prompt`. We do NOT ReplacePrompt with it (it's JSON, not a
+                // human-readable rewrite) — log it via the history instead.
+                if (!string.IsNullOrWhiteSpace(imageObject.Prompt) &&
+                    !string.Equals(imageObject.Prompt, promptDetails.Prompt, StringComparison.OrdinalIgnoreCase))
+                {
+                    promptDetails.AddStep(imageObject.Prompt, TransformationType.IdeogramRewrite);
+                }
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Url = imageObject.Url,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV4,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            catch (HttpRequestException ex)
+            {
+                _stats.IdeogramV4RefusedCount++;
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV4,
+                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            catch (Exception ex)
+            {
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ImageGeneratorApiType.IdeogramV4,
+                    GenericImageErrorType = GenericImageGenerationErrorType.Unknown,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart()
+                };
+            }
+            finally
+            {
+                _semaphore.Release();
+            }
+        }
+    }
+}
diff --git a/MultiImageClient/ImageGenerators/RecraftGenerator.cs b/MultiImageClient/ImageGenerators/RecraftGenerator.cs
index 437d5f8..ea8717a 100644
--- a/MultiImageClient/ImageGenerators/RecraftGenerator.cs
+++ b/MultiImageClient/ImageGenerators/RecraftGenerator.cs
@@ -41,6 +41,8 @@ public class RecraftGenerator : IImageGenerator
         {
             RecraftModel.recraftv4 => ImageGeneratorApiType.RecraftV4,
             RecraftModel.recraftv4pro => ImageGeneratorApiType.RecraftV4Pro,
+            RecraftModel.recraftv4_1 => ImageGeneratorApiType.RecraftV41,
+            RecraftModel.recraftv4_1_pro => ImageGeneratorApiType.RecraftV41Pro,
             _ => ImageGeneratorApiType.Recraft,
         };
 
@@ -127,13 +129,14 @@ public string GetFilenamePart(PromptDetails pd)
         // https://www.recraft.ai/docs/api-reference/pricing
         public decimal GetCost()
         {
-            // V4 Pro charges a flat premium regardless of raster/vector style.
-            if (_model == RecraftModel.recraftv4pro)
+            // Pro tiers charge a flat premium regardless of raster/vector style.
+            // V4.1 Pro is assumed to match V4 Pro until Recraft publishes a delta.
+            if (_model == RecraftModel.recraftv4pro || _model == RecraftModel.recraftv4_1_pro)
             {
                 return _style == RecraftStyle.vector_illustration ? 0.30m : 0.25m;
             }
 
-            // V2 / V3 / V4 raster: $0.04 (V2: $0.022); vector: $0.08 (V2: $0.044).
+            // V2 / V3 / V4 / V4.1 raster: $0.04 (V2: $0.022); vector: $0.08 (V2: $0.044).
             var isVector = _style == RecraftStyle.vector_illustration;
             return _model switch
             {
diff --git a/MultiImageClient/Implementation/DlMirror.cs b/MultiImageClient/Implementation/DlMirror.cs
index 9bacbe3..2aeb2bd 100644
--- a/MultiImageClient/Implementation/DlMirror.cs
+++ b/MultiImageClient/Implementation/DlMirror.cs
@@ -22,6 +22,7 @@ public static class DlMirror
         private static readonly HashSet<string> ImageExtensions = new(StringComparer.OrdinalIgnoreCase)
         {
             ".png", ".jpg", ".jpeg", ".webp", ".gif", ".bmp",
+            ".mp4", // Grok Imagine video output
         };
 
         /// Synchronously mirror one file to <paramref name="mirrorRoot"/>.
diff --git a/MultiImageClient/Implementation/GrokArchive.cs b/MultiImageClient/Implementation/GrokArchive.cs
new file mode 100644
index 0000000..37ee531
--- /dev/null
+++ b/MultiImageClient/Implementation/GrokArchive.cs
@@ -0,0 +1,404 @@
+#nullable enable
+using Newtonsoft.Json.Linq;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+
+using XAIGrokAPIClient;
+
+namespace MultiImageClient
+{
+    /// Reusable Grok history archiver/sync. Call SyncAsync(settings) any time
+    /// (or via the --grok-sync CLI flag) to bring the local archive up to
+    /// date. It is idempotent and incremental — already-downloaded assets are
+    /// skipped — so it doubles as the "keep local copies synced" mechanism.
+    ///
+    /// What xAI actually exposes, and therefore what each phase does:
+    ///
+    ///   Phase 1 — Files API sweep. GET /v1/files is the ONLY enumerable
+    ///       server-side history xAI offers. Videos we generate with
+    ///       storage_options (which GrokImagineVideoGenerator now always
+    ///       sets) land there permanently; this phase pages through the
+    ///       whole inventory and downloads anything we don't have locally
+    ///       into {ImageDownloadBaseFolder}\GrokArchive\.
+    ///
+    ///   Phase 2 — request_id re-poll. Image generations are synchronous
+    ///       and their URLs are temporary, so there is no server history for
+    ///       them; but video request_ids recorded in the ledger can be
+    ///       re-polled via GET /v1/videos/{id}. Any clip whose local file
+    ///       went missing gets re-downloaded while xAI still has it.
+    ///
+    ///   Phase 3 — JSON-log backfill. Reconstructs ledger entries (prompt,
+    ///       url, local path) for every PRE-ledger Grok image/video by
+    ///       scanning the per-image JSON logs under the saves tree. This is
+    ///       the "back-read all prompts" part: after one sync, the entire
+    ///       known Grok history lives in grok_ledger.jsonl.
+    public static class GrokArchive
+    {
+        private static readonly HashSet<ImageGeneratorApiType> GrokGeneratorTypes = new()
+        {
+            ImageGeneratorApiType.GrokImagine,
+            ImageGeneratorApiType.GrokImaginePro,
+            ImageGeneratorApiType.GrokImagineVideo,
+        };
+
+        public static string GetArchiveFolder(Settings settings)
+            => Path.Combine(settings.ImageDownloadBaseFolder, "GrokArchive");
+
+        public static async Task SyncAsync(Settings settings)
+        {
+            if (string.IsNullOrWhiteSpace(settings.XAIGrokApiKey))
+            {
+                Logger.Log("Grok sync: settings.json has no XAIGrokApiKey; nothing to do.");
+                return;
+            }
+
+            var client = new XAIGrokClient(settings.XAIGrokApiKey);
+            var ledger = GrokLedger.ReadAll(settings);
+            Logger.Log($"Grok sync: ledger has {ledger.Count} entries ({GrokLedger.GetPath(settings)})");
+
+            var backfilled = BackfillLedgerFromJsonLogs(settings, ledger);
+            var downloadedFiles = await SyncFilesApiAsync(settings, client, ledger);
+            var repolled = await RepollMissingVideosAsync(settings, client, ledger);
+
+            Logger.Log($"Grok sync complete: +{backfilled} ledger entries backfilled from logs, " +
+                       $"{downloadedFiles} files downloaded from xAI storage, {repolled} videos re-fetched by request_id.");
+            Logger.Log($"Grok sync: archive folder {GetArchiveFolder(settings)}; ledger {GrokLedger.GetPath(settings)}");
+        }
+
+        /// Full export of the entire known Grok history to a folder OUTSIDE
+        /// the repo/saves tree (default C:\GrokArchive). Runs a sync first so
+        /// every remotely-recoverable asset is local, then copies every
+        /// ledger-known image and video into {dest}\Images / {dest}\Videos,
+        /// plus a copy of the ledger and a human-readable prompts.txt with
+        /// every prompt ever recorded. Incremental and rerunnable: files
+        /// already present with the same size are skipped, so this is also
+        /// the "keep the external copy synced" mechanism.
+        public static async Task ExportAsync(Settings settings, string destRoot)
+        {
+            await SyncAsync(settings);
+
+            var ledger = GrokLedger.ReadAll(settings);
+            if (ledger.Count == 0)
+            {
+                Logger.Log("Grok export: ledger is empty; nothing to export.");
+                return;
+            }
+
+            var imagesDir = Path.Combine(destRoot, "Images");
+            var videosDir = Path.Combine(destRoot, "Videos");
+            var otherDir = Path.Combine(destRoot, "Other");
+            Directory.CreateDirectory(imagesDir);
+            Directory.CreateDirectory(videosDir);
+            Directory.CreateDirectory(otherDir);
+
+            int copied = 0, skipped = 0, missing = 0;
+            // The same local file can appear in multiple ledger entries
+            // (live + sync); export each distinct path once.
+            var distinctPaths = ledger
+                .Where(e => !string.IsNullOrEmpty(e.LocalPath))
+                .GroupBy(e => Path.GetFullPath(e.LocalPath!), StringComparer.OrdinalIgnoreCase)
+                .Select(g => (Path: g.Key, Entry: g.First()));
+            foreach (var (sourcePath, entry) in distinctPaths)
+            {
+                if (!File.Exists(sourcePath))
+                {
+                    missing++;
+                    continue;
+                }
+                var destDir = entry.Kind switch
+                {
+                    "video" => videosDir,
+                    "image" => imagesDir,
+                    _ => GuessKind(sourcePath) switch { "video" => videosDir, "image" => imagesDir, _ => otherDir },
+                };
+                var destPath = Path.Combine(destDir, Path.GetFileName(sourcePath));
+                var sourceInfo = new FileInfo(sourcePath);
+                if (File.Exists(destPath) && new FileInfo(destPath).Length == sourceInfo.Length)
+                {
+                    skipped++;
+                    continue;
+                }
+                // Same name, different content: keep both.
+                int n = 1;
+                while (File.Exists(destPath) && new FileInfo(destPath).Length != sourceInfo.Length)
+                {
+                    destPath = Path.Combine(destDir,
+                        $"{Path.GetFileNameWithoutExtension(sourcePath)}_{n:D4}{Path.GetExtension(sourcePath)}");
+                    n++;
+                }
+                if (File.Exists(destPath) && new FileInfo(destPath).Length == sourceInfo.Length)
+                {
+                    skipped++;
+                    continue;
+                }
+                File.Copy(sourcePath, destPath);
+                copied++;
+            }
+
+            WritePromptsFile(ledger, Path.Combine(destRoot, "prompts.txt"));
+            File.Copy(GrokLedger.GetPath(settings), Path.Combine(destRoot, "grok_ledger.jsonl"), overwrite: true);
+
+            Logger.Log($"Grok export: {copied} files copied, {skipped} already present, {missing} ledger paths missing on disk.");
+            Logger.Log($"Grok export: complete archive at {destRoot} (Images\\, Videos\\, prompts.txt, grok_ledger.jsonl).");
+        }
+
+        /// One block per generation, newest last: timestamp, kind/model, and
+        /// the full prompt. The greppable "all prompts ever" companion to the
+        /// machine-readable ledger.
+        private static void WritePromptsFile(List<GrokLedgerEntry> ledger, string path)
+        {
+            var lines = new List<string>
+            {
+                $"# Every recorded Grok prompt - exported {DateTime.Now:yyyy-MM-dd HH:mm:ss}",
+                $"# {ledger.Count} ledger entries total",
+                "",
+            };
+            foreach (var e in ledger.Where(e => !string.IsNullOrWhiteSpace(e.Prompt)).OrderBy(e => e.TimestampUtc))
+            {
+                lines.Add($"[{e.TimestampUtc:yyyy-MM-dd HH:mm:ss}Z] {e.Kind} ({e.Model ?? "?"})");
+                lines.Add(e.Prompt!);
+                lines.Add("");
+            }
+            File.WriteAllLines(path, lines);
+        }
+
+        // ----- Phase 1: Files API sweep ---------------------------------
+
+        private static async Task<int> SyncFilesApiAsync(Settings settings, XAIGrokClient client, List<GrokLedgerEntry> ledger)
+        {
+            List<XAIGrokFileObject> remoteFiles;
+            try
+            {
+                remoteFiles = await client.ListAllFilesAsync();
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Grok sync: Files API list failed: {ex.Message}");
+                return 0;
+            }
+            Logger.Log($"Grok sync: xAI Files API reports {remoteFiles.Count} stored files.");
+
+            // A file counts as "have" when some ledger entry maps its file_id
+            // to a path that still exists on disk.
+            var haveFileIds = ledger
+                .Where(e => !string.IsNullOrEmpty(e.FileId) && !string.IsNullOrEmpty(e.LocalPath) && File.Exists(e.LocalPath))
+                .Select(e => e.FileId!)
+                .ToHashSet(StringComparer.OrdinalIgnoreCase);
+
+            var archiveFolder = GetArchiveFolder(settings);
+            int downloaded = 0;
+            foreach (var file in remoteFiles)
+            {
+                if (haveFileIds.Contains(file.Id))
+                {
+                    continue;
+                }
+                try
+                {
+                    var bytes = await client.DownloadFileContentAsync(file.Id);
+                    var localPath = BuildArchivePath(archiveFolder, file);
+                    Directory.CreateDirectory(archiveFolder);
+                    await File.WriteAllBytesAsync(localPath, bytes);
+                    DlMirror.Copy(localPath, settings.FlatImageMirrorPath);
+                    downloaded++;
+                    Logger.Log($"Grok sync: downloaded {file.Id} ({bytes.Length / 1024} KB) -> {localPath}");
+
+                    var entry = new GrokLedgerEntry
+                    {
+                        Kind = GuessKind(file.Filename),
+                        FileId = file.Id,
+                        LocalPath = localPath,
+                        Bytes = bytes.Length,
+                        TimestampUtc = DateTimeOffset.FromUnixTimeSeconds(file.CreatedAt).UtcDateTime,
+                        Source = "sync",
+                    };
+                    GrokLedger.Append(settings, entry);
+                    ledger.Add(entry);
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Grok sync: failed to download file {file.Id} ('{file.Filename}'): {ex.Message}");
+                }
+            }
+            return downloaded;
+        }
+
+        private static string BuildArchivePath(string archiveFolder, XAIGrokFileObject file)
+        {
+            var created = DateTimeOffset.FromUnixTimeSeconds(file.CreatedAt).UtcDateTime;
+            // file ids look like "file_a128090d-..."; the first id chunk is
+            // plenty to guarantee uniqueness alongside the timestamp.
+            var idPart = file.Id.Replace("file_", "").Split('-')[0];
+            var name = string.IsNullOrWhiteSpace(file.Filename) ? "unnamed.bin" : file.Filename;
+            var stem = FilenameGenerator.SanitizeFilename($"{created:yyyyMMddHHmmss}_{idPart}_{Path.GetFileNameWithoutExtension(name)}");
+            var ext = Path.GetExtension(name);
+            if (string.IsNullOrEmpty(ext)) ext = ".bin";
+            return Path.Combine(archiveFolder, stem + ext);
+        }
+
+        private static string GuessKind(string? filename)
+        {
+            var ext = Path.GetExtension(filename ?? "").ToLowerInvariant();
+            if (ext == ".mp4" || ext == ".mov" || ext == ".webm") return "video";
+            if (ext == ".png" || ext == ".jpg" || ext == ".jpeg" || ext == ".webp" || ext == ".gif") return "image";
+            return "file";
+        }
+
+        // ----- Phase 2: re-poll known video request ids ------------------
+
+        private static async Task<int> RepollMissingVideosAsync(Settings settings, XAIGrokClient client, List<GrokLedgerEntry> ledger)
+        {
+            // request_ids where NO ledger entry currently has a live local copy.
+            var byRequestId = ledger
+                .Where(e => !string.IsNullOrEmpty(e.RequestId))
+                .GroupBy(e => e.RequestId!, StringComparer.OrdinalIgnoreCase)
+                .Where(g => !g.Any(e => !string.IsNullOrEmpty(e.LocalPath) && File.Exists(e.LocalPath)))
+                .ToList();
+            if (byRequestId.Count == 0)
+            {
+                return 0;
+            }
+            Logger.Log($"Grok sync: {byRequestId.Count} video request_ids have no surviving local file; re-polling xAI.");
+
+            using var http = new HttpClient { Timeout = TimeSpan.FromMinutes(5) };
+            var archiveFolder = GetArchiveFolder(settings);
+            int recovered = 0;
+            foreach (var group in byRequestId)
+            {
+                var requestId = group.Key;
+                var original = group.OrderByDescending(e => e.TimestampUtc).First();
+                try
+                {
+                    var result = await client.GetVideoAsync(requestId);
+                    byte[]? bytes = null;
+                    if (result.IsDone && !string.IsNullOrEmpty(result.Video?.Url))
+                    {
+                        bytes = await http.GetByteArrayAsync(result.Video.Url);
+                    }
+                    else if (result.IsDone && !string.IsNullOrEmpty(result.Video?.FileOutput?.FileId))
+                    {
+                        bytes = await client.DownloadFileContentAsync(result.Video.FileOutput.FileId);
+                    }
+                    if (bytes == null)
+                    {
+                        Logger.Log($"Grok sync: request {requestId} status={result.Status}; not recoverable.");
+                        continue;
+                    }
+
+                    Directory.CreateDirectory(archiveFolder);
+                    var stem = FilenameGenerator.SanitizeFilename(
+                        $"{DateTime.UtcNow:yyyyMMddHHmmss}_repoll_{requestId.Substring(0, Math.Min(12, requestId.Length))}");
+                    var localPath = Path.Combine(archiveFolder, stem + ".mp4");
+                    await File.WriteAllBytesAsync(localPath, bytes);
+                    DlMirror.Copy(localPath, settings.FlatImageMirrorPath);
+                    recovered++;
+                    Logger.Log($"Grok sync: recovered video {requestId} ({bytes.Length / 1024} KB) -> {localPath}");
+
+                    var entry = new GrokLedgerEntry
+                    {
+                        Kind = "video",
+                        Model = result.Model ?? original.Model,
+                        Prompt = original.Prompt,
+                        RequestId = requestId,
+                        FileId = result.Video?.FileOutput?.FileId,
+                        RemoteUrl = result.Video?.Url,
+                        LocalPath = localPath,
+                        Bytes = bytes.Length,
+                        Source = "sync",
+                    };
+                    GrokLedger.Append(settings, entry);
+                    ledger.Add(entry);
+                }
+                catch (Exception ex)
+                {
+                    // Expected for old requests — xAI expires deferred results.
+                    Logger.Log($"Grok sync: request {requestId} re-poll failed (likely expired): {ex.Message}");
+                }
+            }
+            return recovered;
+        }
+
+        // ----- Phase 3: back-read prompts from existing JSON logs ---------
+
+        /// Every image save (with SaveJsonLog=true) wrote a per-image JSON
+        /// log containing the full PromptDetails, the remote URL, the local
+        /// save paths, and which generator made it. That tree IS our
+        /// pre-ledger Grok history; fold the Grok entries into the ledger so
+        /// "all prompts" are queryable in one place.
+        private static int BackfillLedgerFromJsonLogs(Settings settings, List<GrokLedgerEntry> ledger)
+        {
+            var root = settings.ImageDownloadBaseFolder;
+            if (!Directory.Exists(root))
+            {
+                return 0;
+            }
+
+            var knownLocalPaths = ledger
+                .Where(e => !string.IsNullOrEmpty(e.LocalPath))
+                .Select(e => Path.GetFullPath(e.LocalPath!))
+                .ToHashSet(StringComparer.OrdinalIgnoreCase);
+
+            int added = 0;
+            foreach (var logFile in Directory.EnumerateFiles(root, "*.json", SearchOption.AllDirectories))
+            {
+                // only the per-image logs live in folders literally named "logs"
+                if (!string.Equals(Path.GetFileName(Path.GetDirectoryName(logFile)), "logs", StringComparison.OrdinalIgnoreCase))
+                {
+                    continue;
+                }
+                try
+                {
+                    var obj = JObject.Parse(File.ReadAllText(logFile));
+                    var generatorToken = obj["GeneratorUsed"];
+                    if (generatorToken == null) continue;
+
+                    ImageGeneratorApiType generator;
+                    if (generatorToken.Type == JTokenType.Integer)
+                    {
+                        generator = (ImageGeneratorApiType)(int)generatorToken;
+                    }
+                    else if (!Enum.TryParse((string?)generatorToken, out generator))
+                    {
+                        continue;
+                    }
+                    if (!GrokGeneratorTypes.Contains(generator)) continue;
+
+                    var rawPath = (string?)obj["SavedImagePaths"]?["Raw"];
+                    if (string.IsNullOrEmpty(rawPath)) continue;
+                    var fullRawPath = Path.GetFullPath(rawPath);
+                    if (knownLocalPaths.Contains(fullRawPath)) continue;
+
+                    var entry = new GrokLedgerEntry
+                    {
+                        Kind = generator == ImageGeneratorApiType.GrokImagineVideo ? "video" : "image",
+                        TimestampUtc = (DateTime?)obj["Timestamp"] ?? DateTime.UtcNow,
+                        Model = generator.ToString(),
+                        Prompt = (string?)obj["PromptDetails"]?["Prompt"],
+                        RemoteUrl = (string?)obj["GeneratedImageUrl"],
+                        LocalPath = fullRawPath,
+                        Bytes = File.Exists(fullRawPath) ? new FileInfo(fullRawPath).Length : 0,
+                        Source = "log-backfill",
+                    };
+                    GrokLedger.Append(settings, entry);
+                    ledger.Add(entry);
+                    knownLocalPaths.Add(fullRawPath);
+                    added++;
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Grok sync: skipping unparseable log {logFile}: {ex.Message}");
+                }
+            }
+            if (added > 0)
+            {
+                Logger.Log($"Grok sync: backfilled {added} pre-ledger Grok generations from JSON logs into the ledger.");
+            }
+            return added;
+        }
+    }
+}
diff --git a/MultiImageClient/Implementation/GrokLedger.cs b/MultiImageClient/Implementation/GrokLedger.cs
new file mode 100644
index 0000000..c5e8902
--- /dev/null
+++ b/MultiImageClient/Implementation/GrokLedger.cs
@@ -0,0 +1,112 @@
+#nullable enable
+using Newtonsoft.Json;
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+
+namespace MultiImageClient
+{
+    /// One line of the Grok history ledger. Append-only JSONL — the local,
+    /// machine-readable record of every Grok generation we know about:
+    /// prompts, request ids, remote file ids, and where the bytes live on
+    /// disk. The sync workflow (GrokArchive) reads this to know what's
+    /// already downloaded and what still needs fetching.
+    public class GrokLedgerEntry
+    {
+        /// "image" | "video" | "file" (file = synced from the Files API
+        /// without a locally-known generation context).
+        [JsonProperty("kind")]
+        public string Kind { get; set; } = "";
+
+        [JsonProperty("timestampUtc")]
+        public DateTime TimestampUtc { get; set; } = DateTime.UtcNow;
+
+        [JsonProperty("model")]
+        public string? Model { get; set; }
+
+        [JsonProperty("prompt")]
+        public string? Prompt { get; set; }
+
+        /// xAI deferred request id (videos only).
+        [JsonProperty("requestId")]
+        public string? RequestId { get; set; }
+
+        /// xAI Files API file id, when the asset has a durable server copy.
+        [JsonProperty("fileId")]
+        public string? FileId { get; set; }
+
+        /// The (usually temporary) xAI URL the asset was served from.
+        [JsonProperty("remoteUrl")]
+        public string? RemoteUrl { get; set; }
+
+        [JsonProperty("localPath")]
+        public string? LocalPath { get; set; }
+
+        [JsonProperty("bytes")]
+        public long Bytes { get; set; }
+
+        /// "live" (recorded at generation time) | "sync" (pulled down by
+        /// GrokArchive) | "log-backfill" (reconstructed from old JSON logs).
+        [JsonProperty("source")]
+        public string Source { get; set; } = "live";
+    }
+
+    /// Append-only JSONL ledger at {ImageDownloadBaseFolder}\grok_ledger.jsonl.
+    /// Writes are lock-serialized and best-effort: ledger problems must never
+    /// break a generation run.
+    public static class GrokLedger
+    {
+        private static readonly object _writeLock = new object();
+
+        public static string GetPath(Settings settings)
+            => Path.Combine(settings.ImageDownloadBaseFolder, "grok_ledger.jsonl");
+
+        public static void Append(Settings? settings, GrokLedgerEntry entry)
+        {
+            if (settings == null || string.IsNullOrWhiteSpace(settings.ImageDownloadBaseFolder))
+            {
+                return;
+            }
+            try
+            {
+                var line = JsonConvert.SerializeObject(entry, Formatting.None);
+                lock (_writeLock)
+                {
+                    Directory.CreateDirectory(settings.ImageDownloadBaseFolder);
+                    File.AppendAllText(GetPath(settings), line + Environment.NewLine);
+                }
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"GrokLedger: failed to append entry: {ex.Message}");
+            }
+        }
+
+        /// Reads every parseable line; malformed lines are skipped (the
+        /// ledger is advisory, not a database).
+        public static List<GrokLedgerEntry> ReadAll(Settings settings)
+        {
+            var result = new List<GrokLedgerEntry>();
+            var path = GetPath(settings);
+            if (!File.Exists(path))
+            {
+                return result;
+            }
+            foreach (var line in File.ReadAllLines(path))
+            {
+                if (string.IsNullOrWhiteSpace(line)) continue;
+                try
+                {
+                    var entry = JsonConvert.DeserializeObject<GrokLedgerEntry>(line);
+                    if (entry != null) result.Add(entry);
+                }
+                catch
+                {
+                    // skip malformed line
+                }
+            }
+            return result;
+        }
+    }
+}
diff --git a/MultiImageClient/Program.cs b/MultiImageClient/Program.cs
index 6eca9a4..caad7e1 100644
--- a/MultiImageClient/Program.cs
+++ b/MultiImageClient/Program.cs
@@ -43,6 +43,18 @@ static async Task Main(string[] args)
                 return;
             }
 
+            if (options.GrokSync)
+            {
+                await GrokArchive.SyncAsync(settings);
+                return;
+            }
+
+            if (options.GrokExportPath != null)
+            {
+                await GrokArchive.ExportAsync(settings, options.GrokExportPath);
+                return;
+            }
+
             var concurrency = 1;
             var stats = new MultiClientRunStats();
 
@@ -61,6 +73,25 @@ static async Task Main(string[] args)
                 ? new ReadAllPromptsFromFile(settings, "")
                 : new InlinePromptSource(settings, options.OverridePrompt);
 
+            if (options.GrokVideoTest)
+            {
+                // Exercises text-to-video, grok-image-to-video, and
+                // extend-video with one prompt; saves + ledgers every clip.
+                var videoModes = new GrokVideoModesWorkflow();
+                await videoModes.RunAsync(promptSource, settings);
+                return;
+            }
+
+            if (options.AllProviders)
+            {
+                // One prompt -> one flagship generator per provider -> one
+                // combined contact sheet. Keyless providers fail soft into
+                // error cells, so this is also the cross-provider auth check.
+                var allProviders = new AllProvidersShowcaseWorkflow();
+                await allProviders.RunAsync(promptSource, settings, stats, options);
+                return;
+            }
+
             if (options.GrokShowcase)
             {
                 // --limit defaults to int.MaxValue; clamp to 10 for the showcase
diff --git a/MultiImageClient/RunOptions.cs b/MultiImageClient/RunOptions.cs
index 4a8e49e..477e566 100644
--- a/MultiImageClient/RunOptions.cs
+++ b/MultiImageClient/RunOptions.cs
@@ -80,6 +80,39 @@ public class RunOptions
         /// at 2k resolution instead of the standard grok-imagine-image at 1k.
         public bool GrokPro { get; set; }
 
+        /// If true, run AllProvidersShowcaseWorkflow: take ONE prompt and
+        /// fire it at one flagship generator per provider (gpt-image-2,
+        /// Ideogram 4.0, flux-2-pro-preview, Recraft V4.1, Grok Imagine,
+        /// Nano Banana Pro), then compose every result into a single
+        /// contact-sheet grid and pop it open. Failed/keyless providers
+        /// show as error cells, so this doubles as a key health check.
+        public bool AllProviders { get; set; }
+
+        /// Pair with --all-providers to ALSO dispatch a Grok Imagine video
+        /// (grok-imagine-video, 6s 480p) for the same prompt. The mp4 is
+        /// saved under the day folder's Video\ subfolder; videos are NOT
+        /// composited into the PNG contact sheet (stills only).
+        public bool WithVideo { get; set; }
+
+        /// If non-null, run GrokArchive.ExportAsync and exit: sync the full
+        /// Grok history, then copy every known image/video plus prompts.txt
+        /// and the ledger into this folder (outside the repo). Defaults to
+        /// C:\GrokArchive when --grok-export is passed without a path.
+        public string? GrokExportPath { get; set; }
+
+        /// If true, run GrokVideoModesWorkflow and exit: exercise all three
+        /// Grok video request modes with one prompt — text-to-video,
+        /// grok-image-to-video, and extend-video — saving each clip and
+        /// recording everything in grok_ledger.jsonl.
+        public bool GrokVideoTest { get; set; }
+
+        /// If true, run GrokArchive.SyncAsync and exit: back-read the entire
+        /// reachable Grok history (xAI Files API inventory + re-pollable
+        /// video request_ids + local JSON logs) into grok_ledger.jsonl and
+        /// download every asset we don't already have locally. Idempotent;
+        /// run it whenever to keep local copies synced.
+        public bool GrokSync { get; set; }
+
         public static RunOptions Parse(string[] args)
         {
             var o = new RunOptions();
@@ -148,6 +181,24 @@ public static RunOptions Parse(string[] args)
                     case "--grok-pro":
                         o.GrokPro = true;
                         break;
+                    case "--all-providers":
+                        o.AllProviders = true;
+                        break;
+                    case "--with-video":
+                        o.WithVideo = true;
+                        break;
+                    case "--grok-sync":
+                        o.GrokSync = true;
+                        break;
+                    case "--grok-export":
+                        // Optional path argument; default to C:\GrokArchive.
+                        o.GrokExportPath = (i + 1 < args.Length && !args[i + 1].StartsWith("--"))
+                            ? args[++i]
+                            : @"C:\GrokArchive";
+                        break;
+                    case "--grok-video-test":
+                        o.GrokVideoTest = true;
+                        break;
                     case "--help":
                     case "-h":
                         PrintUsage();
@@ -181,6 +232,11 @@ private static void PrintUsage()
             Console.WriteLine("  --repl-n N            REPL session default n (images per gpt-image-2 call, default 1). Change at runtime with :n N, or per-prompt via [n=N] in the override prefix.");
             Console.WriteLine("  --grok-showcase       One-shot: take the first --limit prompts from the active prompt source (--prompt or PromptFiles), fire them at xAI Grok Imagine in parallel, and open a single combined grid image. Default --limit for this mode is 10.");
             Console.WriteLine("  --grok-pro            Pair with --grok-showcase to route through grok-imagine-image-pro at 2k resolution ($0.07/img, 30 rpm) instead of grok-imagine-image at 1k ($0.02/img, 300 rpm).");
+            Console.WriteLine("  --all-providers       One-shot: fire ONE prompt (--prompt or first PromptFiles line) at one flagship generator per provider (gpt-image-2, Ideogram 4.0, flux-2-pro-preview, Recraft V4.1, Grok Imagine, Nano Banana Pro) and open a single contact-sheet grid. Keyless providers show as error cells.");
+            Console.WriteLine("  --with-video          Pair with --all-providers to also dispatch a Grok Imagine VIDEO (6s, 480p) for the same prompt; the mp4 lands in the day folder's Video\\ subfolder. Videos are not composited into the PNG sheet.");
+            Console.WriteLine("  --grok-video-test     One-shot: exercise all three Grok video modes with one prompt (--prompt or first PromptFiles line) — text-to-video, grok-image-to-video, and extend-video (3s, 480p each). Clips are saved, stored durably at xAI, and ledgered.");
+            Console.WriteLine("  --grok-export [path]  One-shot: full Grok history export OUTSIDE the repo. Runs --grok-sync first, then copies every known Grok image/video plus prompts.txt and grok_ledger.jsonl into [path] (default C:\\GrokArchive). Rerunnable; already-present files are skipped.");
+            Console.WriteLine("  --grok-sync           One-shot: back-read/back-download the entire reachable Grok history and exit. Sweeps the xAI Files API inventory, re-polls any ledger video request_ids whose local file is missing, backfills prompts from old JSON logs, and writes everything to grok_ledger.jsonl + saves\\GrokArchive\\. Idempotent — run it whenever to stay synced.");
         }
     }
 }
diff --git a/MultiImageClient/Workflows/AllProvidersShowcaseWorkflow.cs b/MultiImageClient/Workflows/AllProvidersShowcaseWorkflow.cs
new file mode 100644
index 0000000..d860021
--- /dev/null
+++ b/MultiImageClient/Workflows/AllProvidersShowcaseWorkflow.cs
@@ -0,0 +1,198 @@
+#nullable enable
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    /// One-shot "every provider, one image" runner: takes a SINGLE prompt and
+    /// fires it at one flagship generator per provider in parallel (see
+    /// GeneratorGroups.GetOnePerProvider — gpt-image-2, Ideogram 4.0,
+    /// flux-2-pro-preview, Recraft V4.1, Grok Imagine, Nano Banana Pro, and
+    /// optionally Grok video). Each result is saved via the normal
+    /// ImageManager pipeline, then everything is composed into ONE combined
+    /// contact-sheet grid which pops open in the default viewer.
+    ///
+    /// Providers whose API keys are missing/invalid fail soft: their cell in
+    /// the sheet shows the error placeholder instead of an image, so a single
+    /// run doubles as a key/auth health check across every provider.
+    public class AllProvidersShowcaseWorkflow
+    {
+        public async Task<string?> RunAsync(
+            AbstractPromptSource promptSource,
+            Settings settings,
+            MultiClientRunStats stats,
+            RunOptions options)
+        {
+            var promptText = promptSource.Prompts
+                .Select(p => p.Prompt)
+                .FirstOrDefault(s => !string.IsNullOrWhiteSpace(s));
+
+            if (string.IsNullOrWhiteSpace(promptText))
+            {
+                Console.Error.WriteLine(
+                    "All-providers showcase aborted: no prompt available. "
+                    + "Supply --prompt \"...\" or point PromptFiles at a readable file.");
+                return null;
+            }
+
+            var groups = new GeneratorGroups(settings, concurrency: 1, stats);
+            var generators = groups.GetOnePerProvider(includeVideo: options.WithVideo).ToList();
+
+            var imageManager = new ImageManager(settings, stats);
+            Logger.Log($"All-providers showcase: 1 prompt x {generators.Count} providers"
+                + (options.WithVideo ? " (including Grok video)" : "") + ".");
+            Logger.Log($"  prompt: {promptText}");
+            foreach (var g in generators)
+            {
+                Logger.Log($"  - {g.GetGeneratorSpecPart()}  (~${g.GetCost():0.###})");
+            }
+
+            var tasks = generators.Select(async generator =>
+            {
+                var pd = new PromptDetails();
+                pd.ReplacePrompt(promptText, promptText, TransformationType.InitialPrompt);
+
+                // Fail fast on obviously-bad credentials (empty, or still the
+                // "Optional: get your key from..." template placeholder text)
+                // so the cell explains the real problem instead of whatever
+                // confusing 400/401 the provider would return.
+                var keyProblem = DescribeKeyProblem(generator.ApiType, settings);
+                if (keyProblem != null)
+                {
+                    Logger.Log($"All-providers :: {Flatten(generator.GetGeneratorSpecPart())} :: SKIPPED ({keyProblem})");
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = keyProblem,
+                        PromptDetails = pd,
+                        ImageGenerator = generator.ApiType,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    };
+                }
+
+                try
+                {
+                    var result = await generator.ProcessPromptAsync(generator, pd);
+                    await imageManager.ProcessAndSaveAsync(result, generator);
+                    var label = result.IsSuccess ? "OK" : $"FAIL ({Trim(result.ErrorMessage ?? "", 160)})";
+                    Logger.Log($"All-providers :: {Flatten(generator.GetGeneratorSpecPart())} :: {label}");
+                    return result;
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"All-providers :: {Flatten(generator.GetGeneratorSpecPart())} :: EXCEPTION {ex.Message}");
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = false,
+                        ErrorMessage = ex.Message,
+                        PromptDetails = pd,
+                        ImageGenerator = generator.ApiType,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    };
+                }
+            }).ToArray();
+
+            var results = await Task.WhenAll(tasks);
+            stats.PrintStats();
+
+            var okCount = results.Count(r => r.IsSuccess);
+            Logger.Log($"All-providers showcase: {okCount}/{results.Length} providers succeeded.");
+
+            // Videos don't belong in a still-image mosaic — the mp4 is already
+            // saved to disk (and noted in the log/ledger), so just report it
+            // and keep the contact sheet images-only.
+            var sheetResults = results.Where(r => r.ImageGenerator != ImageGeneratorApiType.GrokImagineVideo).ToArray();
+            foreach (var v in results.Where(r => r.ImageGenerator == ImageGeneratorApiType.GrokImagineVideo))
+            {
+                Logger.Log(v.IsSuccess
+                    ? "All-providers: Grok video succeeded; mp4 saved under the day folder's Video\\ subfolder (excluded from the PNG sheet)."
+                    : $"All-providers: Grok video FAILED ({Trim(v.ErrorMessage ?? "", 160)}).");
+            }
+
+            var sheetGenerators = generators.Where(g => g.ApiType != ImageGeneratorApiType.GrokImagineVideo).ToList();
+            var recap = BuildRecapString(promptText, sheetGenerators.Select(g => g.GetGeneratorSpecPart()).ToList());
+            try
+            {
+                var outPath = await ImageCombiner.CreateBatchLayoutImageSquareAsync(
+                    sheetResults, recap, settings, openWhenDone: true);
+                Logger.Log($"All-providers contact sheet: {outPath}");
+                return outPath;
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"All-providers showcase: failed to build contact sheet: {ex.Message}");
+                return null;
+            }
+        }
+
+        /// Returns a human-actionable description of what's wrong with the
+        /// API key this generator needs, or null when the key looks usable.
+        /// "Looks usable" is deliberately shallow — real validation happens
+        /// at the provider — but it catches the two states that otherwise
+        /// produce baffling provider errors: empty, and "still contains the
+        /// settings-template placeholder sentence".
+        private static string? DescribeKeyProblem(ImageGeneratorApiType apiType, Settings settings)
+        {
+            var (keyName, keyValue) = apiType switch
+            {
+                ImageGeneratorApiType.Dalle3 or ImageGeneratorApiType.GptImage1
+                    or ImageGeneratorApiType.GptImage1Mini or ImageGeneratorApiType.GptImage2
+                    => ("OpenAIApiKey", settings.OpenAIApiKey),
+                ImageGeneratorApiType.Ideogram or ImageGeneratorApiType.IdeogramV3 or ImageGeneratorApiType.IdeogramV4
+                    => ("IdeogramApiKey", settings.IdeogramApiKey),
+                ImageGeneratorApiType.BFLv11 or ImageGeneratorApiType.BFLv11Ultra
+                    or ImageGeneratorApiType.BFLFlux2Pro or ImageGeneratorApiType.BFLFlux2Max
+                    or ImageGeneratorApiType.BFLFlux2Flex or ImageGeneratorApiType.BFLFlux2Klein4b
+                    or ImageGeneratorApiType.BFLFlux2Klein9b or ImageGeneratorApiType.BFLFluxKontextPro
+                    or ImageGeneratorApiType.BFLFluxKontextMax or ImageGeneratorApiType.BFLFlux2ProPreview
+                    => ("BFLApiKey", settings.BFLApiKey),
+                ImageGeneratorApiType.Recraft or ImageGeneratorApiType.RecraftV4
+                    or ImageGeneratorApiType.RecraftV4Pro or ImageGeneratorApiType.RecraftV41
+                    or ImageGeneratorApiType.RecraftV41Pro
+                    => ("RecraftApiKey", settings.RecraftApiKey),
+                ImageGeneratorApiType.GrokImagine or ImageGeneratorApiType.GrokImaginePro
+                    or ImageGeneratorApiType.GrokImagineVideo
+                    => ("XAIGrokApiKey", settings.XAIGrokApiKey),
+                ImageGeneratorApiType.GoogleNanoBanana or ImageGeneratorApiType.GoogleNanoBananaPro
+                    or ImageGeneratorApiType.GoogleImagen4
+                    => ("GoogleGeminiApiKey", settings.GoogleGeminiApiKey),
+                _ => ((string?)null, (string?)null),
+            };
+            if (keyName == null)
+            {
+                return null;
+            }
+            if (string.IsNullOrWhiteSpace(keyValue))
+            {
+                return $"settings.json: {keyName} is empty — paste a real key to enable this provider";
+            }
+            // Real keys from every provider here are single tokens; the
+            // settings template's descriptive sentences contain spaces.
+            if (keyValue.Contains(' ') || keyValue.StartsWith("Optional", StringComparison.OrdinalIgnoreCase))
+            {
+                return $"settings.json: {keyName} still contains the template placeholder text — paste a real key to enable this provider";
+            }
+            return null;
+        }
+
+        private static string BuildRecapString(string prompt, IReadOnlyList<string> generatorLabels)
+        {
+            var header = $"All-providers contact sheet — {generatorLabels.Count} providers, one image each:";
+            var list = string.Join("  |  ", generatorLabels);
+            return $"{header}\n{list}\n\nPrompt: {prompt}";
+        }
+
+        /// Some generators (e.g. Recraft) embed newlines in their spec part
+        /// for annotation layout; collapse them so log lines stay one-line.
+        private static string Flatten(string s)
+            => s.Replace("\r", " ").Replace("\n", " ");
+
+        private static string Trim(string s, int max)
+        {
+            if (string.IsNullOrEmpty(s)) return s ?? string.Empty;
+            return s.Length <= max ? s : s.Substring(0, max - 1) + "...";
+        }
+    }
+}
diff --git a/MultiImageClient/Workflows/GeneratorGroups.cs b/MultiImageClient/Workflows/GeneratorGroups.cs
index 103b842..b5f94b0 100644
--- a/MultiImageClient/Workflows/GeneratorGroups.cs
+++ b/MultiImageClient/Workflows/GeneratorGroups.cs
@@ -81,10 +81,13 @@ public IEnumerable<IImageGenerator> GetAll()
                 // GptImage1HighSquare(),
                 // GptImageMiniHighWide(),
                 // --- non-OpenAI providers (require extra keys in settings.json) ---
+                // IdeogramV4_Square(),         // Ideogram 4.0 (2026-06-03), current flagship
                 // Ideogram_V3_Wide_Quality(),
+                // RecraftV41AnyStyle(),        // Recraft V4.1 (2026), current flagship
                 // RecraftV4AnyStyle(),
                 // BFLv11_3_2(),
                 // BFLv11Ultra_1_1(),
+                // BFLFlux2ProPreview_Square(), // BFL's latest [pro], lands improvements first
                 // BFLFlux2Pro_Square(),
                 // BFLFlux2Max_Square(),
                 // BFLFlux2Flex_Square(),       // typography-tuned; enable when you have text prompts
@@ -96,11 +99,44 @@ public IEnumerable<IImageGenerator> GetAll()
                 // we default to the cheap tier here and keep Pro as a toggle.
                 GrokImagine_Square(),
                 // GrokImaginePro_Square(),
-                // GeminiNanoBanana(),
-                // GoogleImagen4_2_5(),
+                // GrokVideo_Wide(),            // VIDEO: mp4 saved to day\Video\, card in the grid
+                // GeminiNanoBanana(),          // gemini-3.1-flash-image (Nano Banana 2), 1:1 2K
+                // GeminiNanoBananaPro(),       // gemini-3-pro-image (Nano Banana Pro), 1:1 2K
+                // GeminiNanoBananaTallPortrait(), // 9:16 2K — replacement for the old Imagen 2:5 slot
+                // GeminiNanoBananaPro4K(),     // pro tier at 4K (~2x token cost)
+                // GoogleImagen4_2_5(),         // DEAD 2026-06-24..30 (Imagen shutdown) — do not re-enable
             };
         }
 
+        /// One representative generator per provider — the "contact sheet"
+        /// acceptance set used by --all-providers. Each entry is the current
+        /// flagship (June 2026) for that provider:
+        ///   OpenAI   gpt-image-2 (high, square)
+        ///   Ideogram Ideogram 4.0 (DEFAULT speed, 2048x2048)
+        ///   BFL      flux-2-pro-preview (latest [pro])
+        ///   Recraft  V4.1 (any style)
+        ///   xAI      grok-imagine-image (high, 2k)
+        ///   Google   gemini-3-pro-image (Nano Banana Pro)
+        /// includeVideo additionally appends the xAI grok-imagine-video
+        /// generator (mp4 saved to disk, PNG card in the grid).
+        public IEnumerable<IImageGenerator> GetOnePerProvider(bool includeVideo = false)
+        {
+            var list = new List<IImageGenerator>
+            {
+                GptImage2HighSquare(),
+                IdeogramV4_Square(),
+                BFLFlux2ProPreview_Square(),
+                RecraftV41AnyStyle(),
+                GrokImagine_Square(),
+                GeminiNanoBananaPro(),
+            };
+            if (includeVideo)
+            {
+                list.Add(GrokVideo_Wide());
+            }
+            return list;
+        }
+
         // ---------- OpenAI: DALL·E 3 ----------
 
         private Dalle3Generator Dalle3Square() =>
@@ -226,6 +262,25 @@ private IdeogramV3Generator Ideogram_V3_Wide_Quality() =>
                 IdeogramAspectRatio.ASPECT_16_10, IdeogramRenderingSpeed.QUALITY,
                 "", _stats, "");
 
+        // ---------- Ideogram 4.0 (released 2026-06-03) ----------
+        // JSON endpoint /v1/ideogram-v4/generate; 2K-native resolutions only
+        // ("2048x2048", "2304x1728", "2560x1440", ...). rendering_speed:
+        // FLASH (cheapest) | TURBO | DEFAULT | QUALITY. No style_type /
+        // magic_prompt knobs — text_prompt is auto-expanded server-side into
+        // the structured JSON prompt contract.
+
+        private IdeogramV4Generator IdeogramV4_Square() =>
+            new IdeogramV4Generator(_settings.IdeogramApiKey, _concurrency,
+                "2048x2048", IdeogramRenderingSpeed.DEFAULT, _stats, "");
+
+        private IdeogramV4Generator IdeogramV4_Wide_Quality() =>
+            new IdeogramV4Generator(_settings.IdeogramApiKey, _concurrency,
+                "2560x1440", IdeogramRenderingSpeed.QUALITY, _stats, "");
+
+        private IdeogramV4Generator IdeogramV4_Flash() =>
+            new IdeogramV4Generator(_settings.IdeogramApiKey, _concurrency,
+                "2048x2048", IdeogramRenderingSpeed.FLASH, _stats, "");
+
         // ---------- Black Forest Labs (Flux) ----------
 
         private BFLGenerator BFLv11_3_2() =>
@@ -251,6 +306,14 @@ private BFLGenerator BFLFlux2Pro_Square() =>
             new BFLGenerator(ImageGeneratorApiType.BFLFlux2Pro, _settings.BFLApiKey,
                 _concurrency, "1:1", false, 1024, 1024, _stats, "");
 
+        // flux-2-pro-preview: where BFL lands the latest [pro] improvements
+        // first (~2x speed at no quality cost as of mid-2026). Same wire
+        // contract and price as flux-2-pro; prefer this unless a run needs
+        // pinned-model reproducibility.
+        private BFLGenerator BFLFlux2ProPreview_Square() =>
+            new BFLGenerator(ImageGeneratorApiType.BFLFlux2ProPreview, _settings.BFLApiKey,
+                _concurrency, "1:1", false, 1024, 1024, _stats, "");
+
         private BFLGenerator BFLFlux2Pro_Wide() =>
             new BFLGenerator(ImageGeneratorApiType.BFLFlux2Pro, _settings.BFLApiKey,
                 _concurrency, "16:9", false, 1536, 864, _stats, "");
@@ -296,35 +359,64 @@ private RecraftGenerator RecraftVectorLineArt() =>
         // ready output. Pass model: RecraftModel.recraftv4 or .recraftv4pro to
         // RecraftGenerator and everything else (style/substyle/artistic_level)
         // works the same.
+        //
+        // IMPORTANT: V4/V4.1 use a DIFFERENT size set than V2/V3. The old
+        // 1365x1024 / 2048x1024 etc. are rejected with invalid_request_parameter.
+        // Standard models: 1:1 is 1024x1024 (others: 1536x768, 1280x832,
+        // 1216x896, ...). Pro models: 1:1 is 2048x2048 (others: 3072x1536,
+        // 2560x1664, 2432x1792, ...). See recraft.ai/docs appendix.
 
         private RecraftGenerator RecraftV4AnyStyle() =>
             new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
-                RecraftImageSize._1365x1024, RecraftStyle.any, null, null, null,
+                RecraftImageSize._1024x1024, RecraftStyle.any, null, null, null,
                 _stats, "", model: RecraftModel.recraftv4);
 
         private RecraftGenerator RecraftV4RealisticStudioPortrait() =>
             new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
-                RecraftImageSize._2048x1024, RecraftStyle.realistic_image,
+                RecraftImageSize._1024x1024, RecraftStyle.realistic_image,
                 null, null, RecraftRealisticImageSubstyle.studio_portrait,
                 _stats, "", model: RecraftModel.recraftv4);
 
         private RecraftGenerator RecraftV4VectorLineArt() =>
             new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
-                RecraftImageSize._1365x1024, RecraftStyle.vector_illustration,
+                RecraftImageSize._1024x1024, RecraftStyle.vector_illustration,
                 RecraftVectorIllustrationSubstyle.line_art, null, null,
                 _stats, "", model: RecraftModel.recraftv4);
 
         private RecraftGenerator RecraftV4ProRealisticPortrait() =>
             new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
-                RecraftImageSize._2048x1024, RecraftStyle.realistic_image,
+                RecraftImageSize._2048x2048, RecraftStyle.realistic_image,
                 null, null, RecraftRealisticImageSubstyle.studio_portrait,
                 _stats, "", model: RecraftModel.recraftv4pro);
 
         private RecraftGenerator RecraftV4ProAnyStyle() =>
             new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
-                RecraftImageSize._1365x1024, RecraftStyle.any, null, null, null,
+                RecraftImageSize._2048x2048, RecraftStyle.any, null, null, null,
                 _stats, "", model: RecraftModel.recraftv4pro);
 
+        // ---------- Recraft V4.1 (2026, current flagship) ----------
+        // Drop-in over V4: better photorealism, new illustration styles, and
+        // strong short-prompt aesthetics. API model strings: recraftv4_1 /
+        // recraftv4_1_pro (the API's own default model is now recraftv4_1).
+        // Same style/substyle/artistic_level plumbing as V3/V4, and the same
+        // V4 size set (1024x1024 standard / 2048x2048 pro for 1:1).
+
+        private RecraftGenerator RecraftV41AnyStyle() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._1024x1024, RecraftStyle.any, null, null, null,
+                _stats, "", model: RecraftModel.recraftv4_1);
+
+        private RecraftGenerator RecraftV41RealisticStudioPortrait() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._1024x1024, RecraftStyle.realistic_image,
+                null, null, RecraftRealisticImageSubstyle.studio_portrait,
+                _stats, "", model: RecraftModel.recraftv4_1);
+
+        private RecraftGenerator RecraftV41ProAnyStyle() =>
+            new RecraftGenerator(_settings.RecraftApiKey, _concurrency,
+                RecraftImageSize._2048x2048, RecraftStyle.any, null, null, null,
+                _stats, "", model: RecraftModel.recraftv4_1_pro);
+
         // ---------- xAI Grok Imagine ----------
         //
         // Two tiers, same REST endpoint:
@@ -344,39 +436,89 @@ private RecraftGenerator RecraftV4ProAnyStyle() =>
         public GrokImagineGenerator GrokImagine_Square() =>
             new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
                 ImageGeneratorApiType.GrokImagine, _stats, "",
-                aspectRatio: "1:1", quality: "high", resolution: "2k");
+                aspectRatio: "1:1", quality: "high", resolution: "2k", settings: _settings);
 
         public GrokImagineGenerator GrokImagine_Wide() =>
             new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
                 ImageGeneratorApiType.GrokImagine, _stats, "",
-                aspectRatio: "16:9", quality: "high", resolution: "2k");
+                aspectRatio: "16:9", quality: "high", resolution: "2k", settings: _settings);
 
         public GrokImagineGenerator GrokImagine_Portrait() =>
             new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
                 ImageGeneratorApiType.GrokImagine, _stats, "",
-                aspectRatio: "3:4", quality: "high", resolution: "2k");
+                aspectRatio: "3:4", quality: "high", resolution: "2k", settings: _settings);
 
         public GrokImagineGenerator GrokImaginePro_Square() =>
             new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
                 ImageGeneratorApiType.GrokImaginePro, _stats, "",
-                aspectRatio: "1:1", quality: "high", resolution: "2k");
+                aspectRatio: "1:1", quality: "high", resolution: "2k", settings: _settings);
 
         public GrokImagineGenerator GrokImaginePro_Portrait() =>
             new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
                 ImageGeneratorApiType.GrokImaginePro, _stats, "",
-                aspectRatio: "3:4", quality: "high", resolution: "2k");
+                aspectRatio: "3:4", quality: "high", resolution: "2k", settings: _settings);
+
+        // ---------- xAI Grok Imagine VIDEO ----------
+        //
+        // grok-imagine-video via the async /v1/videos/generations endpoint
+        // (start + poll). Duration 1-15s; resolution 480p/720p/1080p; per-
+        // second billing (roughly $0.05/s at 480p). The generator downloads
+        // the mp4 itself into {day}\Video\ and contributes a PNG "video card"
+        // to combined grids, so it multiplexes alongside image generators.
+
+        public GrokImagineVideoGenerator GrokVideo_Wide() =>
+            new GrokImagineVideoGenerator(_settings.XAIGrokApiKey, _concurrency,
+                _stats, _settings, "",
+                aspectRatio: "16:9", resolution: "480p", durationSeconds: 6);
+
+        public GrokImagineVideoGenerator GrokVideo_Wide720p() =>
+            new GrokImagineVideoGenerator(_settings.XAIGrokApiKey, _concurrency,
+                _stats, _settings, "",
+                aspectRatio: "16:9", resolution: "720p", durationSeconds: 8);
 
         // ---------- Google ----------
+        //
+        // June 2026: ALL dedicated Imagen endpoints shut down 06-24..30.
+        // Gemini image models ("Nano Banana") are the replacement family:
+        //   gemini-3.1-flash-image  (Nano Banana 2)  — fast/cheap tier
+        //   gemini-3-pro-image      (Nano Banana Pro) — reasoning tier, 4K-capable
+        // Both take an optional aspectRatio ("1:1","2:3","3:2","3:4","4:3",
+        // "4:5","5:4","9:16","16:9","21:9") and imageSize ("512" flash-only,
+        // "1K","2K","4K" — uppercase K). 2K costs the same tokens as 1K, so
+        // it's the default here; only 4K is pricier.
+        // These need only GoogleGeminiApiKey (AI Studio key) — no Vertex
+        // project/service-account setup like the dead Imagen path required.
 
         private GoogleGenerator GeminiNanoBanana() =>
             new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana,
-                _settings.GoogleGeminiApiKey, _concurrency, _stats);
+                _settings.GoogleGeminiApiKey, _concurrency, _stats,
+                aspectRatio: "1:1", imageSize: "2K");
+
+        private GoogleGenerator GeminiNanoBananaPro() =>
+            new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBananaPro,
+                _settings.GoogleGeminiApiKey, _concurrency, _stats,
+                aspectRatio: "1:1", imageSize: "2K");
+
+        // Direct replacement for the old GoogleImagen4_2_5() slot: tall
+        // portrait output on the cheap flash tier. Imagen's "2:5" has no
+        // exact Gemini equivalent; 9:16 is the closest supported ratio.
+        private GoogleGenerator GeminiNanoBananaTallPortrait() =>
+            new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana,
+                _settings.GoogleGeminiApiKey, _concurrency, _stats,
+                aspectRatio: "9:16", imageSize: "2K");
+
+        private GoogleGenerator GeminiNanoBananaPro4K() =>
+            new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBananaPro,
+                _settings.GoogleGeminiApiKey, _concurrency, _stats,
+                aspectRatio: "1:1", imageSize: "4K");
 
+#pragma warning disable CS0618 // kept until the Imagen shutdown actually lands
         private GoogleImagen4Generator GoogleImagen4_2_5() =>
             new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency,
                 _stats, "", "2:5", "BLOCK_NONE",
                 location: _settings.GoogleCloudLocation,
                 projectId: _settings.GoogleCloudProjectId,
                 googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
+#pragma warning restore CS0618
     }
 }
diff --git a/MultiImageClient/Workflows/GrokShowcaseWorkflow.cs b/MultiImageClient/Workflows/GrokShowcaseWorkflow.cs
index ec72917..caf8cb0 100644
--- a/MultiImageClient/Workflows/GrokShowcaseWorkflow.cs
+++ b/MultiImageClient/Workflows/GrokShowcaseWorkflow.cs
@@ -64,7 +64,8 @@ public class GrokShowcaseWorkflow
                 name: "",
                 aspectRatio: "1:1",
                 quality: "high",
-                resolution: "2k");
+                resolution: "2k",
+                settings: settings);
 
             var imageManager = new ImageManager(settings, stats);
             var modelLabel = pro ? "grok-imagine-image-pro" : "grok-imagine-image";
diff --git a/MultiImageClient/Workflows/GrokVideoModesWorkflow.cs b/MultiImageClient/Workflows/GrokVideoModesWorkflow.cs
new file mode 100644
index 0000000..c0ce3d0
--- /dev/null
+++ b/MultiImageClient/Workflows/GrokVideoModesWorkflow.cs
@@ -0,0 +1,247 @@
+#nullable enable
+using System;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+
+using XAIGrokAPIClient;
+
+namespace MultiImageClient
+{
+    /// One-shot exerciser for the three Grok video request modes
+    /// (--grok-video-test):
+    ///
+    ///   1. text-to-video   — prompt alone.
+    ///   2. image-to-video  — generate a still with grok-imagine-image first,
+    ///                        then animate it (the image becomes frame one).
+    ///   3. extend-video    — POST /v1/videos/extensions on the clip from
+    ///                        step 2; xAI returns original + extension as one
+    ///                        combined mp4.
+    ///
+    /// Every clip is requested with storage_options (durable Files-API copy,
+    /// so --grok-sync can always recover it), saved under the day folder's
+    /// Video\ subfolder, mirrored, and recorded in grok_ledger.jsonl.
+    /// Videos are deliberately short (3s) and 480p to keep the test cheap
+    /// (~$0.15 per clip + $0.02 for the still).
+    public class GrokVideoModesWorkflow
+    {
+        private const int DurationSeconds = 3;
+        private const string Resolution = "480p";
+        private const string AspectRatio = "16:9";
+
+        public async Task RunAsync(AbstractPromptSource promptSource, Settings settings)
+        {
+            if (string.IsNullOrWhiteSpace(settings.XAIGrokApiKey))
+            {
+                Logger.Log("Grok video test: settings.json has no XAIGrokApiKey; aborting.");
+                return;
+            }
+
+            var prompt = promptSource.Prompts
+                .Select(p => p.Prompt)
+                .FirstOrDefault(s => !string.IsNullOrWhiteSpace(s))
+                ?? "A red kite surfing wind gusts above a green coastal cliff, bright daylight";
+
+            var client = new XAIGrokClient(settings.XAIGrokApiKey);
+            using var http = new HttpClient { Timeout = TimeSpan.FromMinutes(5) };
+
+            Logger.Log($"Grok video test: 3 modes x {DurationSeconds}s {Resolution} {AspectRatio}");
+            Logger.Log($"  prompt: {prompt}");
+
+            // ---- Mode 1: text -> video --------------------------------
+            var textVideo = await RunOneAsync(settings, client, http, "text2video", new XAIGrokVideoGenerateRequest
+            {
+                Prompt = prompt,
+                Model = XAIGrokClient.ModelGrokImagineVideo,
+                Duration = DurationSeconds,
+                AspectRatio = AspectRatio,
+                Resolution = Resolution,
+                StorageOptions = MakeStorage("text2video", prompt),
+            }, prompt);
+
+            // ---- Mode 2: grok image -> video --------------------------
+            string? imageUrl = null;
+            try
+            {
+                Logger.Log($"Grok video test: generating source still via {XAIGrokClient.ModelGrokImagine}...");
+                var imgResponse = await client.GenerateAsync(new XAIGrokGenerateRequest
+                {
+                    Prompt = prompt,
+                    Model = XAIGrokClient.ModelGrokImagine,
+                    AspectRatio = AspectRatio,
+                    Quality = "high",
+                    Resolution = "1k",
+                    N = 1,
+                });
+                imageUrl = imgResponse.Data?.FirstOrDefault()?.Url;
+                if (!string.IsNullOrEmpty(imageUrl))
+                {
+                    var imgBytes = await http.GetByteArrayAsync(imageUrl);
+                    var imgPath = BuildOutputPath(settings, "img2video_source", prompt, ".png");
+                    await File.WriteAllBytesAsync(imgPath, imgBytes);
+                    DlMirror.Copy(imgPath, settings.FlatImageMirrorPath);
+                    Logger.Log($"Grok video test: source still saved -> {imgPath}");
+                    GrokLedger.Append(settings, new GrokLedgerEntry
+                    {
+                        Kind = "image",
+                        Model = XAIGrokClient.ModelGrokImagine,
+                        Prompt = prompt,
+                        RemoteUrl = imageUrl,
+                        LocalPath = imgPath,
+                        Bytes = imgBytes.Length,
+                        Source = "live",
+                    });
+                }
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Grok video test: source image generation failed: {ex.Message}");
+            }
+
+            XAIGrokVideoResult? imageVideo = null;
+            if (!string.IsNullOrEmpty(imageUrl))
+            {
+                imageVideo = await RunOneAsync(settings, client, http, "img2video", new XAIGrokVideoGenerateRequest
+                {
+                    Prompt = $"Animate this scene naturally: {prompt}",
+                    Model = XAIGrokClient.ModelGrokImagineVideo,
+                    Duration = DurationSeconds,
+                    Resolution = Resolution,
+                    // No AspectRatio: image-to-video inherits the still's AR;
+                    // overriding it would stretch the source.
+                    Image = new XAIGrokVideoImageInput { Url = imageUrl },
+                    StorageOptions = MakeStorage("img2video", prompt),
+                }, prompt);
+            }
+            else
+            {
+                Logger.Log("Grok video test: SKIPPING image-to-video (no source image).");
+            }
+
+            // ---- Mode 3: extend the image-video (fall back to the text one) ----
+            var baseClip = imageVideo ?? textVideo;
+            if (baseClip?.Video != null)
+            {
+                var extendPrompt = "Continue the scene: the camera slowly pulls back to reveal the wider surroundings";
+                var videoInput = !string.IsNullOrEmpty(baseClip.Video.FileOutput?.FileId)
+                    ? new XAIGrokVideoVideoInput { FileId = baseClip.Video.FileOutput.FileId }
+                    : new XAIGrokVideoVideoInput { Url = baseClip.Video.Url };
+                try
+                {
+                    Logger.Log($"Grok video test: extend-video (+{DurationSeconds}s) using "
+                        + (videoInput.FileId != null ? $"file_id {videoInput.FileId}" : "temp url"));
+                    var extended = await client.ExtendVideoAsync(new XAIGrokVideoExtendRequest
+                    {
+                        Prompt = extendPrompt,
+                        Model = XAIGrokClient.ModelGrokImagineVideo,
+                        Video = videoInput,
+                        Duration = DurationSeconds,
+                        Resolution = Resolution,
+                        StorageOptions = MakeStorage("extended", prompt),
+                    });
+                    await SaveResultAsync(settings, client, http, "extended", extended, extendPrompt);
+                }
+                catch (Exception ex)
+                {
+                    Logger.Log($"Grok video test: extend-video FAILED: {ex.Message}");
+                }
+            }
+            else
+            {
+                Logger.Log("Grok video test: SKIPPING extend-video (no base clip succeeded).");
+            }
+
+            Logger.Log("Grok video test: done. All clips are in the day folder's Video\\ subfolder, "
+                + "stored durably at xAI (Files API), and recorded in grok_ledger.jsonl.");
+        }
+
+        private async Task<XAIGrokVideoResult?> RunOneAsync(
+            Settings settings,
+            XAIGrokClient client,
+            HttpClient http,
+            string modeTag,
+            XAIGrokVideoGenerateRequest request,
+            string promptForLedger)
+        {
+            try
+            {
+                Logger.Log($"Grok video test: {modeTag} starting...");
+                var result = await client.GenerateVideoAsync(request, TimeSpan.FromSeconds(5), TimeSpan.FromMinutes(10));
+                return await SaveResultAsync(settings, client, http, modeTag, result, promptForLedger);
+            }
+            catch (Exception ex)
+            {
+                Logger.Log($"Grok video test: {modeTag} FAILED: {ex.Message}");
+                return null;
+            }
+        }
+
+        /// Downloads the finished clip (temp URL preferred, Files-API copy as
+        /// fallback), saves + mirrors + ledgers it. Returns the result when
+        /// the clip was retrievable, else null.
+        private async Task<XAIGrokVideoResult?> SaveResultAsync(
+            Settings settings,
+            XAIGrokClient client,
+            HttpClient http,
+            string modeTag,
+            XAIGrokVideoResult result,
+            string promptForLedger)
+        {
+            var hasUrl = !string.IsNullOrEmpty(result.Video?.Url);
+            var hasFile = !string.IsNullOrEmpty(result.Video?.FileOutput?.FileId);
+            if (!result.IsDone || (!hasUrl && !hasFile))
+            {
+                var detail = result.Error != null ? $"{result.Error.Code}: {result.Error.Message}" : $"status={result.Status}";
+                Logger.Log($"Grok video test: {modeTag} did not complete ({detail}).");
+                return null;
+            }
+
+            var bytes = hasUrl
+                ? await http.GetByteArrayAsync(result.Video!.Url)
+                : await client.DownloadFileContentAsync(result.Video!.FileOutput!.FileId);
+
+            var path = BuildOutputPath(settings, modeTag, promptForLedger, ".mp4");
+            await File.WriteAllBytesAsync(path, bytes);
+            DlMirror.Copy(path, settings.FlatImageMirrorPath);
+            Logger.Log($"Grok video test: {modeTag} OK — {result.Video.Duration}s, {bytes.Length / 1024} KB -> {path}");
+
+            GrokLedger.Append(settings, new GrokLedgerEntry
+            {
+                Kind = "video",
+                Model = XAIGrokClient.ModelGrokImagineVideo,
+                Prompt = promptForLedger,
+                RequestId = result.RequestId,
+                FileId = result.Video.FileOutput?.FileId,
+                RemoteUrl = result.Video.Url,
+                LocalPath = path,
+                Bytes = bytes.Length,
+                Source = "live",
+            });
+            return result;
+        }
+
+        private static XAIGrokVideoStorageOptions MakeStorage(string modeTag, string prompt)
+            => new XAIGrokVideoStorageOptions
+            {
+                Filename = FilenameGenerator.SanitizeFilename(
+                    $"{DateTime.UtcNow:yyyyMMddHHmmss}_grokvidtest_{modeTag}_{FilenameGenerator.TruncatePrompt(prompt, 60)}") + ".mp4",
+            };
+
+        private static string BuildOutputPath(Settings settings, string modeTag, string prompt, string extension)
+        {
+            var folder = Path.Combine(settings.ImageDownloadBaseFolder, DateTime.Now.ToString("yyyy-MM-dd-dddd"), "Video");
+            Directory.CreateDirectory(folder);
+            var stem = FilenameGenerator.SanitizeFilename(
+                $"{DateTime.Now:yyyyMMddHHmmss}_grokvidtest_{modeTag}_{FilenameGenerator.TruncatePrompt(prompt, 70)}");
+            var path = Path.Combine(folder, stem + extension);
+            int count = 1;
+            while (File.Exists(path))
+            {
+                path = Path.Combine(folder, $"{stem}_{count:D4}{extension}");
+                count++;
+            }
+            return path;
+        }
+    }
+}
diff --git a/MultiImageClient/Workflows/ReplWorkflow.cs b/MultiImageClient/Workflows/ReplWorkflow.cs
index 776f522..000da59 100644
--- a/MultiImageClient/Workflows/ReplWorkflow.cs
+++ b/MultiImageClient/Workflows/ReplWorkflow.cs
@@ -74,7 +74,7 @@ public class ReplWorkflow
         // Catalog of known per-name factories. ':gens add <name>' looks here.
         // Keep in sync with PrintHelp()'s generator list.
         private static readonly string[] KnownGenerators =
-            { "gpt2", "grok", "grokpro", "dalle3", "ideogram", "recraft", "bfl", "google", "imagen4" };
+            { "gpt2", "grok", "grokpro", "dalle3", "ideogram", "recraft", "bfl", "google", "googlepro", "imagen4" };
 
         private class InFlight
         {
@@ -710,14 +710,14 @@ private IImageGenerator BuildNamed(string name)
                     RequireKey(_settings.XAIGrokApiKey, "XAIGrokApiKey", "grok");
                     return new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
                         ImageGeneratorApiType.GrokImagine, _stats, "repl",
-                        aspectRatio: "1:1", quality: "high", resolution: "2k");
+                        aspectRatio: "1:1", quality: "high", resolution: "2k", settings: _settings);
 
                 case "grokpro":
                 case "grok_pro":
                     RequireKey(_settings.XAIGrokApiKey, "XAIGrokApiKey", "grokpro");
                     return new GrokImagineGenerator(_settings.XAIGrokApiKey, _concurrency,
                         ImageGeneratorApiType.GrokImaginePro, _stats, "repl",
-                        aspectRatio: "1:1", quality: "high", resolution: "2k");
+                        aspectRatio: "1:1", quality: "high", resolution: "2k", settings: _settings);
 
                 case "dalle3":
                     RequireKey(_settings.OpenAIApiKey, "OpenAIApiKey", "dalle3");
@@ -747,15 +747,26 @@ private IImageGenerator BuildNamed(string name)
                 case "nanobanana":
                     RequireKey(_settings.GoogleGeminiApiKey, "GoogleGeminiApiKey", "google");
                     return new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBanana,
-                        _settings.GoogleGeminiApiKey, _concurrency, _stats);
+                        _settings.GoogleGeminiApiKey, _concurrency, _stats, "repl",
+                        aspectRatio: "1:1", imageSize: "2K");
+
+                case "googlepro":
+                case "nanobananapro":
+                    RequireKey(_settings.GoogleGeminiApiKey, "GoogleGeminiApiKey", "googlepro");
+                    return new GoogleGenerator(ImageGeneratorApiType.GoogleNanoBananaPro,
+                        _settings.GoogleGeminiApiKey, _concurrency, _stats, "repl",
+                        aspectRatio: "1:1", imageSize: "2K");
 
                 case "imagen4":
+                    // DEPRECATED: Imagen shuts down 2026-06-24..30; kept until then.
                     RequireKey(_settings.GoogleGeminiApiKey, "GoogleGeminiApiKey", "imagen4");
+#pragma warning disable CS0618
                     return new GoogleImagen4Generator(_settings.GoogleGeminiApiKey, _concurrency,
                         _stats, "repl", "2:5", "BLOCK_NONE",
                         location: _settings.GoogleCloudLocation,
                         projectId: _settings.GoogleCloudProjectId,
                         googleServiceAccountKeyPath: _settings.GoogleServiceAccountKeyPath);
+#pragma warning restore CS0618
 
                 default:
                     throw new ArgumentException(
@@ -869,7 +880,7 @@ private static void PrintHelp()
             Console.WriteLine("  :n N                     set gpt-image-2 images-per-call (default 1). N>10 requires confirmation.");
             Console.WriteLine("  :concurrency N           max prompts in flight (applies to subsequent dispatches)");
             Console.WriteLine("  :gens list               list active generators");
-            Console.WriteLine("  :gens add <name>         add a generator: gpt2 grok grokpro dalle3 ideogram recraft bfl google imagen4");
+            Console.WriteLine("  :gens add <name>         add a generator: gpt2 grok grokpro dalle3 ideogram recraft bfl google googlepro imagen4(dead 06-24)");
             Console.WriteLine("  :gens remove <name>      remove a generator from the active set");
             Console.WriteLine("  :gens reset              back to defaults (gpt2 + grok when XAIGrokApiKey is set)");
             Console.WriteLine("  :status                  list in-flight jobs");
diff --git a/MultiImageClient/promptTransformation/MultiClientRunStats.cs b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
index 12993d9..418c678 100644
--- a/MultiImageClient/promptTransformation/MultiClientRunStats.cs
+++ b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
@@ -11,8 +11,10 @@ public class MultiClientRunStats
         
         public int IdeogramRequestCount { get; set; }
         public int IdeogramV3RequestCount { get; set; }
+        public int IdeogramV4RequestCount { get; set; }
         public int IdeogramRefusedCount { get; set; }
         public int IdeogramV3RefusedCount { get; set; }
+        public int IdeogramV4RefusedCount { get; set; }
         
         public int ClaudeRequestCount { get; set; }
         public int ClaudeWouldRefuseCount { get; set; }
@@ -40,6 +42,10 @@ public class MultiClientRunStats
         public int GrokImageGenerationSuccessCount { get; set; }
         public int GrokImageGenerationErrorCount { get; set; }
 
+        public int GrokVideoGenerationRequestCount { get; set; }
+        public int GrokVideoGenerationSuccessCount { get; set; }
+        public int GrokVideoGenerationErrorCount { get; set; }
+
         public int GoogleRequestCount { get; set; }
         public int GoogleRefusedCount { get; set; }
 
@@ -69,6 +75,10 @@ public void PrintStats()
                 nonZeroStats.Add($"Ideogram Refused:{IdeogramRefusedCount}");
             if (IdeogramV3RefusedCount > 0)
                 nonZeroStats.Add($"Ideogram v3 Refused:{IdeogramV3RefusedCount}");
+            if (IdeogramV4RequestCount > 0)
+                nonZeroStats.Add($"Ideogram v4 Requests:{IdeogramV4RequestCount}");
+            if (IdeogramV4RefusedCount > 0)
+                nonZeroStats.Add($"Ideogram v4 Refused:{IdeogramV4RefusedCount}");
 
             if (Dalle3RequestCount > 0)
                 nonZeroStats.Add($"Dalle3 Requests:{Dalle3RequestCount}");
@@ -99,6 +109,9 @@ public void PrintStats()
             if (GrokImageGenerationRequestCount > 0 | GrokImageGenerationErrorCount > 0 | GrokImageGenerationSuccessCount > 0)
                 nonZeroStats.Add($"Grok: total:{GrokImageGenerationRequestCount}, ok:{GrokImageGenerationSuccessCount}, bad:{GrokImageGenerationErrorCount} ");
 
+            if (GrokVideoGenerationRequestCount > 0 | GrokVideoGenerationErrorCount > 0 | GrokVideoGenerationSuccessCount > 0)
+                nonZeroStats.Add($"Grok Video: total:{GrokVideoGenerationRequestCount}, ok:{GrokVideoGenerationSuccessCount}, bad:{GrokVideoGenerationErrorCount} ");
+
             var res = $"Stats: {string.Join(", ", nonZeroStats)}";
             Console.WriteLine(res);
         }
diff --git a/RecraftAPI/RecraftImageSize.cs b/RecraftAPI/RecraftImageSize.cs
index 202ad04..7ca0643 100644
--- a/RecraftAPI/RecraftImageSize.cs
+++ b/RecraftAPI/RecraftImageSize.cs
@@ -16,6 +16,8 @@ public enum RecraftImageSize
         _1024x1280 = 12,
         _1280x1024 = 13,
         _1024x1707 = 14,
-        _1707x1024 = 15
+        _1707x1024 = 15,
+        // V4 / V4.1 Pro models use a 2K size set; 1:1 is 2048x2048.
+        _2048x2048 = 16
     }
 }
diff --git a/RecraftAPI/RecraftModel.cs b/RecraftAPI/RecraftModel.cs
index 46bc353..37da94c 100644
--- a/RecraftAPI/RecraftModel.cs
+++ b/RecraftAPI/RecraftModel.cs
@@ -1,12 +1,18 @@
 namespace RecraftAPIClient
 {
     /// Recraft raster/vector generation model. The API string is
-    /// the lowercase enum name (e.g. "recraftv3", "recraftv4", "recraftv4pro").
+    /// the lowercase enum name (e.g. "recraftv3", "recraftv4", "recraftv4_1").
+    /// V4.1 (2026) is the current flagship; the API default model is
+    /// recraftv4_1 as of June 2026. The _vector/_utility variants are
+    /// expressed via the style parameter on our side, not separate enum
+    /// members, except where Recraft exposes them as distinct model ids.
     public enum RecraftModel
     {
         recraftv2,
         recraftv3,
         recraftv4,
         recraftv4pro,
+        recraftv4_1,
+        recraftv4_1_pro,
     }
 }
diff --git a/XAIGrokAPI/XAIGrokClient.cs b/XAIGrokAPI/XAIGrokClient.cs
index 77ca141..7523ad9 100644
--- a/XAIGrokAPI/XAIGrokClient.cs
+++ b/XAIGrokAPI/XAIGrokClient.cs
@@ -29,14 +29,18 @@ namespace XAIGrokAPIClient
     /// Models supported (2026-04):
     ///   grok-imagine-image       — $0.02/image, 300 rpm
     ///   grok-imagine-image-pro   — $0.07/image, 30 rpm
+    ///   grok-imagine-video       — async text/image -> video (mp4), 1-15s
     ///
     /// Docs: https://docs.x.ai/developers/model-capabilities/images/generation
     ///       https://docs.x.ai/developers/rest-api-reference/inference/images
+    ///       https://docs.x.ai/developers/model-capabilities/video/generation
+    ///       https://docs.x.ai/developers/rest-api-reference/inference/videos
     public class XAIGrokClient
     {
         public const string BaseUrl = "https://api.x.ai/v1";
         public const string ModelGrokImagine = "grok-imagine-image";
         public const string ModelGrokImaginePro = "grok-imagine-image-pro";
+        public const string ModelGrokImagineVideo = "grok-imagine-video";
 
         private readonly HttpClient _httpClient;
         private readonly string _apiKey;
@@ -64,7 +68,179 @@ public Task<XAIGrokImageResponse> GenerateAsync(XAIGrokGenerateRequest request,
         public Task<XAIGrokImageResponse> EditAsync(XAIGrokEditRequest request, CancellationToken ct = default)
             => PostAsync("/images/edits", request, ct);
 
-        private async Task<XAIGrokImageResponse> PostAsync<TReq>(string path, TReq body, CancellationToken ct)
+        // ---------- Video (asynchronous: start -> poll) ----------
+
+        /// Step 1 of the video flow: POST /v1/videos/generations. Returns
+        /// immediately with a request_id; the video is NOT ready yet.
+        public Task<XAIGrokVideoStartResponse> StartVideoAsync(XAIGrokVideoGenerateRequest request, CancellationToken ct = default)
+            => PostAsync<XAIGrokVideoGenerateRequest, XAIGrokVideoStartResponse>("/videos/generations", request, ct);
+
+        /// POST /v1/videos/extensions: continue an existing video (by url or
+        /// Files-API file_id) from its last frame. Deferred like generations;
+        /// poll the returned request_id. The finished clip is the original
+        /// PLUS the extension, combined.
+        public Task<XAIGrokVideoStartResponse> StartVideoExtensionAsync(XAIGrokVideoExtendRequest request, CancellationToken ct = default)
+            => PostAsync<XAIGrokVideoExtendRequest, XAIGrokVideoStartResponse>("/videos/extensions", request, ct);
+
+        /// Step 2: GET /v1/videos/{request_id}. status is one of
+        /// pending | done | expired | failed. When done, Video.Url holds a
+        /// temporary mp4 URL — download promptly, xAI expires them. (When the
+        /// request used storage_options, Video.FileOutput carries the durable
+        /// Files-API file_id instead.)
+        public Task<XAIGrokVideoResult> GetVideoAsync(string requestId, CancellationToken ct = default)
+            => GetAsync<XAIGrokVideoResult>($"/videos/{requestId}", ct);
+
+        // ---------- Files API (the only enumerable server-side history) ----------
+
+        /// One page of GET /v1/files. The response always includes a
+        /// pagination_token; keep calling with it until data.Count < limit.
+        /// Server max limit is 100.
+        public Task<XAIGrokFileListResponse> ListFilesPageAsync(
+            int limit = 100,
+            string? paginationToken = null,
+            string sortBy = "created_at",
+            string order = "asc",
+            CancellationToken ct = default)
+        {
+            var path = $"/files?limit={limit}&sort_by={sortBy}&order={order}";
+            if (!string.IsNullOrEmpty(paginationToken))
+            {
+                path += $"&pagination_token={Uri.EscapeDataString(paginationToken)}";
+            }
+            return GetAsync<XAIGrokFileListResponse>(path, ct);
+        }
+
+        /// Walks every page of GET /v1/files and returns the full inventory
+        /// of stored files for the authenticated team, oldest first.
+        public async Task<List<XAIGrokFileObject>> ListAllFilesAsync(CancellationToken ct = default)
+        {
+            var all = new List<XAIGrokFileObject>();
+            string? token = null;
+            const int pageSize = 100;
+            while (true)
+            {
+                var page = await ListFilesPageAsync(pageSize, token, ct: ct).ConfigureAwait(false);
+                all.AddRange(page.Data);
+                if (page.Data.Count < pageSize || string.IsNullOrEmpty(page.PaginationToken))
+                {
+                    break;
+                }
+                token = page.PaginationToken;
+            }
+            return all;
+        }
+
+        /// GET /v1/files/{file_id}/content — raw bytes of a stored file.
+        public async Task<byte[]> DownloadFileContentAsync(string fileId, CancellationToken ct = default)
+        {
+            using var req = new HttpRequestMessage(HttpMethod.Get, $"{BaseUrl}/files/{fileId}/content");
+            req.Headers.Authorization = new AuthenticationHeaderValue("Bearer", _apiKey);
+
+            using var res = await _httpClient.SendAsync(req, HttpCompletionOption.ResponseHeadersRead, ct).ConfigureAwait(false);
+            if (!res.IsSuccessStatusCode)
+            {
+                var text = await res.Content.ReadAsStringAsync(ct).ConfigureAwait(false);
+                throw new XAIGrokException(
+                    $"xAI /files/{fileId}/content returned {(int)res.StatusCode} {res.StatusCode}: {text}",
+                    (int)res.StatusCode,
+                    text);
+            }
+            return await res.Content.ReadAsByteArrayAsync(ct).ConfigureAwait(false);
+        }
+
+        private async Task<TRes> GetAsync<TRes>(string path, CancellationToken ct)
+            where TRes : XAIGrokResponseBase
+        {
+            using var req = new HttpRequestMessage(HttpMethod.Get, BaseUrl + path);
+            req.Headers.Authorization = new AuthenticationHeaderValue("Bearer", _apiKey);
+            req.Headers.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
+
+            using var res = await _httpClient.SendAsync(req, ct).ConfigureAwait(false);
+            var text = await res.Content.ReadAsStringAsync(ct).ConfigureAwait(false);
+
+            if (!res.IsSuccessStatusCode)
+            {
+                throw new XAIGrokException(
+                    $"xAI {path} returned {(int)res.StatusCode} {res.StatusCode}: {text}",
+                    (int)res.StatusCode,
+                    text);
+            }
+
+            var parsed = JsonConvert.DeserializeObject<TRes>(text)
+                ?? throw new XAIGrokException(
+                    $"xAI {path} returned an empty/unparseable body.",
+                    (int)res.StatusCode,
+                    text);
+            parsed.RawBody = text;
+            return parsed;
+        }
+
+        /// Convenience wrapper that does the whole start -> poll loop and only
+        /// returns once the video reaches a terminal state (done/failed/expired)
+        /// or the timeout elapses (throws TimeoutException). Defaults follow
+        /// xAI's docs: 5s poll cadence, 10 minute ceiling.
+        public async Task<XAIGrokVideoResult> GenerateVideoAsync(
+            XAIGrokVideoGenerateRequest request,
+            TimeSpan? pollInterval = null,
+            TimeSpan? timeout = null,
+            CancellationToken ct = default)
+        {
+            var start = await StartVideoAsync(request, ct).ConfigureAwait(false);
+            if (string.IsNullOrEmpty(start.RequestId))
+            {
+                throw new XAIGrokException("xAI /videos/generations returned no request_id.", 200, start.RawBody ?? "");
+            }
+            return await PollVideoToCompletionAsync(start.RequestId, pollInterval, timeout, ct).ConfigureAwait(false);
+        }
+
+        /// Extension counterpart of GenerateVideoAsync: start the extension
+        /// and poll until terminal. Same defaults (5s cadence, 10 min ceiling).
+        public async Task<XAIGrokVideoResult> ExtendVideoAsync(
+            XAIGrokVideoExtendRequest request,
+            TimeSpan? pollInterval = null,
+            TimeSpan? timeout = null,
+            CancellationToken ct = default)
+        {
+            var start = await StartVideoExtensionAsync(request, ct).ConfigureAwait(false);
+            if (string.IsNullOrEmpty(start.RequestId))
+            {
+                throw new XAIGrokException("xAI /videos/extensions returned no request_id.", 200, start.RawBody ?? "");
+            }
+            return await PollVideoToCompletionAsync(start.RequestId, pollInterval, timeout, ct).ConfigureAwait(false);
+        }
+
+        private async Task<XAIGrokVideoResult> PollVideoToCompletionAsync(
+            string requestId,
+            TimeSpan? pollInterval,
+            TimeSpan? timeout,
+            CancellationToken ct)
+        {
+            var interval = pollInterval ?? TimeSpan.FromSeconds(5);
+            var ceiling = timeout ?? TimeSpan.FromMinutes(10);
+            var deadline = DateTime.UtcNow + ceiling;
+            while (true)
+            {
+                ct.ThrowIfCancellationRequested();
+                var result = await GetVideoAsync(requestId, ct).ConfigureAwait(false);
+                if (!string.Equals(result.Status, "pending", StringComparison.OrdinalIgnoreCase))
+                {
+                    result.RequestId = requestId;
+                    return result;
+                }
+                if (DateTime.UtcNow >= deadline)
+                {
+                    throw new TimeoutException(
+                        $"xAI video request {requestId} still pending after {ceiling.TotalMinutes:0.#} minutes.");
+                }
+                await Task.Delay(interval, ct).ConfigureAwait(false);
+            }
+        }
+
+        private Task<XAIGrokImageResponse> PostAsync<TReq>(string path, TReq body, CancellationToken ct)
+            => PostAsync<TReq, XAIGrokImageResponse>(path, body, ct);
+
+        private async Task<TRes> PostAsync<TReq, TRes>(string path, TReq body, CancellationToken ct)
+            where TRes : XAIGrokResponseBase
         {
             var serializer = new JsonSerializerSettings
             {
@@ -91,7 +267,7 @@ private async Task<XAIGrokImageResponse> PostAsync<TReq>(string path, TReq body,
                     text);
             }
 
-            var parsed = JsonConvert.DeserializeObject<XAIGrokImageResponse>(text)
+            var parsed = JsonConvert.DeserializeObject<TRes>(text)
                 ?? throw new XAIGrokException(
                     $"xAI {path} returned an empty/unparseable body.",
                     (int)res.StatusCode,
@@ -101,6 +277,15 @@ private async Task<XAIGrokImageResponse> PostAsync<TReq>(string path, TReq body,
         }
     }
 
+    /// Base for all parsed xAI responses so the generic POST helper can stash
+    /// the raw JSON body for debugging regardless of concrete shape.
+    public abstract class XAIGrokResponseBase
+    {
+        /// Original JSON body as returned by xAI. Not part of the wire format.
+        [JsonIgnore]
+        public string? RawBody { get; set; }
+    }
+
     // ---------- Request DTOs ----------
 
     /// Request body for POST /v1/images/generations. Only `Prompt` is required
@@ -205,7 +390,7 @@ public class XAIGrokImageInput
 
     // ---------- Response DTOs ----------
 
-    public class XAIGrokImageResponse
+    public class XAIGrokImageResponse : XAIGrokResponseBase
     {
         [JsonProperty("data")]
         public List<XAIGrokImageData> Data { get; set; } = new();
@@ -216,11 +401,6 @@ public class XAIGrokImageResponse
         /// Server-populated only on some xAI responses; Unix seconds.
         [JsonProperty("created")]
         public long? Created { get; set; }
-
-        /// Original JSON body as returned by xAI. Handy for debugging pricing
-        /// or schema drift. Not part of the wire format.
-        [JsonIgnore]
-        public string? RawBody { get; set; }
     }
 
     public class XAIGrokImageData
diff --git a/XAIGrokAPI/XAIGrokFileModels.cs b/XAIGrokAPI/XAIGrokFileModels.cs
new file mode 100644
index 0000000..1ac5d29
--- /dev/null
+++ b/XAIGrokAPI/XAIGrokFileModels.cs
@@ -0,0 +1,55 @@
+using Newtonsoft.Json;
+
+using System.Collections.Generic;
+
+namespace XAIGrokAPIClient
+{
+    // DTOs for xAI's Files API:
+    //
+    //   GET  /v1/files                    (paginated list, team-scoped)
+    //   GET  /v1/files/{file_id}          (metadata)
+    //   GET  /v1/files/{file_id}/content  (raw bytes)
+    //
+    // Video generations submitted with storage_options land here as stored
+    // files (video.file_output.file_id), which makes the Files API the only
+    // server-side enumerable "history" xAI offers. Docs:
+    // https://docs.x.ai/developers/rest-api-reference/files
+
+    public class XAIGrokFileListResponse : XAIGrokResponseBase
+    {
+        [JsonProperty("data")]
+        public List<XAIGrokFileObject> Data { get; set; } = new();
+
+        /// Always returned; pass back as ?pagination_token= for the next
+        /// page. End of list when data.Count < requested limit.
+        [JsonProperty("pagination_token")]
+        public string? PaginationToken { get; set; }
+    }
+
+    public class XAIGrokFileObject
+    {
+        [JsonProperty("id")]
+        public string Id { get; set; } = string.Empty;
+
+        [JsonProperty("filename")]
+        public string? Filename { get; set; }
+
+        [JsonProperty("bytes")]
+        public long Bytes { get; set; }
+
+        /// Unix seconds.
+        [JsonProperty("created_at")]
+        public long CreatedAt { get; set; }
+
+        /// Unix seconds; null = permanent.
+        [JsonProperty("expires_at")]
+        public long? ExpiresAt { get; set; }
+
+        /// Always "file"; OpenAI-compat field.
+        [JsonProperty("object")]
+        public string? ObjectType { get; set; }
+
+        [JsonProperty("purpose")]
+        public string? Purpose { get; set; }
+    }
+}
diff --git a/XAIGrokAPI/XAIGrokVideoModels.cs b/XAIGrokAPI/XAIGrokVideoModels.cs
new file mode 100644
index 0000000..46dbdb0
--- /dev/null
+++ b/XAIGrokAPI/XAIGrokVideoModels.cs
@@ -0,0 +1,204 @@
+using Newtonsoft.Json;
+
+namespace XAIGrokAPIClient
+{
+    // DTOs for xAI's asynchronous video endpoints:
+    //
+    //   POST https://api.x.ai/v1/videos/generations  -> { request_id }
+    //   GET  https://api.x.ai/v1/videos/{request_id} -> { status, video, ... }
+    //
+    // status: pending | done | expired | failed. When done, video.url is a
+    // TEMPORARY mp4 URL — callers must download promptly.
+    //
+    // Docs: https://docs.x.ai/developers/rest-api-reference/inference/videos
+
+    /// Request body for POST /v1/videos/generations. Text-to-video uses
+    /// Prompt alone; image-to-video adds Image (the source becomes the first
+    /// frame). Reference-to-video would use reference_images (not exposed yet
+    /// — add when needed).
+    public class XAIGrokVideoGenerateRequest
+    {
+        [JsonProperty("prompt")]
+        public string? Prompt { get; set; }
+
+        /// e.g. XAIGrokClient.ModelGrokImagineVideo ("grok-imagine-video").
+        [JsonProperty("model")]
+        public string? Model { get; set; }
+
+        /// Seconds, range [1, 15]. Default 8 when omitted.
+        [JsonProperty("duration")]
+        public int? Duration { get; set; }
+
+        /// "1:1" | "16:9" | "9:16" | "4:3" | "3:4" | "3:2" | "2:3".
+        /// Default 16:9 for text-to-video; image-to-video inherits the
+        /// input image's AR unless overridden (which stretches).
+        [JsonProperty("aspect_ratio")]
+        public string? AspectRatio { get; set; }
+
+        /// "480p" (default, faster) | "720p" | "1080p".
+        [JsonProperty("resolution")]
+        public string? Resolution { get; set; }
+
+        /// Optional image-to-video source. Exactly one of Url / FileId.
+        [JsonProperty("image")]
+        public XAIGrokVideoImageInput? Image { get; set; }
+
+        /// When set, xAI stores the finished mp4 in the team's Files API
+        /// storage (durable, enumerable via GET /v1/files) instead of only a
+        /// temporary URL. This is what makes server-side history/sync
+        /// possible — always set it for archival workflows.
+        [JsonProperty("storage_options")]
+        public XAIGrokVideoStorageOptions? StorageOptions { get; set; }
+    }
+
+    public class XAIGrokVideoStorageOptions
+    {
+        /// Filename for the stored file (required when storing).
+        [JsonProperty("filename")]
+        public string Filename { get; set; } = string.Empty;
+
+        /// Seconds until auto-expiry, max 2592000 (30 days). Null/omitted =
+        /// the file never expires (preferred for archives).
+        [JsonProperty("expires_after", NullValueHandling = NullValueHandling.Ignore)]
+        public int? ExpiresAfter { get; set; }
+    }
+
+    /// Source image for image-to-video. Url is a public HTTPS URL; FileId
+    /// references the xAI Files API. Mutually exclusive.
+    public class XAIGrokVideoImageInput
+    {
+        [JsonProperty("url")]
+        public string? Url { get; set; }
+
+        [JsonProperty("file_id")]
+        public string? FileId { get; set; }
+    }
+
+    /// Source video for extend-video (and edit-video). Url is an
+    /// xAI-hosted or public HTTPS mp4 URL; FileId references the xAI Files
+    /// API (what storage_options gives us). Mutually exclusive.
+    public class XAIGrokVideoVideoInput
+    {
+        [JsonProperty("url")]
+        public string? Url { get; set; }
+
+        [JsonProperty("file_id")]
+        public string? FileId { get; set; }
+    }
+
+    /// Request body for POST /v1/videos/extensions: continue an existing
+    /// video from its last frame. xAI returns the ORIGINAL + EXTENSION
+    /// combined into one clip. Same deferred flow as generations — the
+    /// response is a request_id polled via GET /v1/videos/{id}.
+    public class XAIGrokVideoExtendRequest
+    {
+        /// What should happen in the extension.
+        [JsonProperty("prompt")]
+        public string? Prompt { get; set; }
+
+        [JsonProperty("model")]
+        public string? Model { get; set; }
+
+        /// The video to extend. Required.
+        [JsonProperty("video")]
+        public XAIGrokVideoVideoInput? Video { get; set; }
+
+        /// Seconds of NEW footage to add, range [1, 15].
+        [JsonProperty("duration")]
+        public int? Duration { get; set; }
+
+        [JsonProperty("resolution")]
+        public string? Resolution { get; set; }
+
+        /// Same semantics as on generate: store the combined clip durably
+        /// in the Files API so sync can always recover it.
+        [JsonProperty("storage_options")]
+        public XAIGrokVideoStorageOptions? StorageOptions { get; set; }
+    }
+
+    public class XAIGrokVideoStartResponse : XAIGrokResponseBase
+    {
+        [JsonProperty("request_id")]
+        public string? RequestId { get; set; }
+    }
+
+    /// Poll result from GET /v1/videos/{request_id}.
+    public class XAIGrokVideoResult : XAIGrokResponseBase
+    {
+        public const string StatusPending = "pending";
+        public const string StatusDone = "done";
+        public const string StatusFailed = "failed";
+        public const string StatusExpired = "expired";
+
+        [JsonProperty("status")]
+        public string? Status { get; set; }
+
+        [JsonProperty("video")]
+        public XAIGrokVideoData? Video { get; set; }
+
+        [JsonProperty("model")]
+        public string? Model { get; set; }
+
+        /// Populated when status == "failed".
+        [JsonProperty("error")]
+        public XAIGrokVideoError? Error { get; set; }
+
+        /// Not part of the wire format; filled in by GenerateVideoAsync so
+        /// callers can quote the id when contacting xAI about failures.
+        [JsonIgnore]
+        public string? RequestId { get; set; }
+
+        [JsonIgnore]
+        public bool IsDone => string.Equals(Status, StatusDone, System.StringComparison.OrdinalIgnoreCase);
+    }
+
+    public class XAIGrokVideoData
+    {
+        /// Temporary xAI-hosted mp4 URL.
+        [JsonProperty("url")]
+        public string? Url { get; set; }
+
+        /// Seconds.
+        [JsonProperty("duration")]
+        public int? Duration { get; set; }
+
+        /// False means xAI's moderation filtered the output.
+        [JsonProperty("respect_moderation")]
+        public bool? RespectModeration { get; set; }
+
+        /// Unix seconds when the stored file expires, when reported.
+        [JsonProperty("expires_at")]
+        public long? ExpiresAt { get; set; }
+
+        /// Present when the request included storage_options: the durable
+        /// Files-API copy of the clip.
+        [JsonProperty("file_output")]
+        public XAIGrokVideoFileOutput? FileOutput { get; set; }
+    }
+
+    public class XAIGrokVideoFileOutput
+    {
+        [JsonProperty("file_id")]
+        public string FileId { get; set; } = string.Empty;
+
+        [JsonProperty("filename")]
+        public string? Filename { get; set; }
+
+        [JsonProperty("public_url")]
+        public string? PublicUrl { get; set; }
+
+        [JsonProperty("expires_at")]
+        public long? ExpiresAt { get; set; }
+    }
+
+    /// error.code values: invalid_argument | permission_denied |
+    /// failed_precondition | service_unavailable | internal_error.
+    public class XAIGrokVideoError
+    {
+        [JsonProperty("code")]
+        public string? Code { get; set; }
+
+        [JsonProperty("message")]
+        public string? Message { get; set; }
+    }
+}

From 361a6f03fc30ea26e223bfb4fa63db86a8c44054 Mon Sep 17 00:00:00 2001
From: ernie <ernestfrench@gmail.com>
Date: Thu, 11 Jun 2026 22:53:09 -0700
Subject: [PATCH 73/78] grok

---
 .gitignore                                 |   2 +
 docs/grok-web-export-archive.md            | 166 +++++++++
 docs/project-organization.md               |  65 ++++
 readme.md                                  |   5 +
 smoke_nanobanana.png                       | Bin 0 -> 1099685 bytes
 tools/grok-export/README.md                |  49 +++
 tools/grok-export/build_archive_browser.py | 271 ++++++++++++++
 tools/grok-export/download_videos.py       | 401 +++++++++++++++++++++
 tools/grok-export/extract_export.py        | 187 ++++++++++
 9 files changed, 1146 insertions(+)
 create mode 100644 docs/grok-web-export-archive.md
 create mode 100644 docs/project-organization.md
 create mode 100644 smoke_nanobanana.png
 create mode 100644 tools/grok-export/README.md
 create mode 100644 tools/grok-export/build_archive_browser.py
 create mode 100644 tools/grok-export/download_videos.py
 create mode 100644 tools/grok-export/extract_export.py

diff --git a/.gitignore b/.gitignore
index 84a2158..de90176 100644
--- a/.gitignore
+++ b/.gitignore
@@ -16,3 +16,5 @@ magic*.png
 **/Temp.txt
 2023-prompts.txt
 **/tmp/**
+**/__pycache__/**
+*.py[cod]
diff --git a/docs/grok-web-export-archive.md b/docs/grok-web-export-archive.md
new file mode 100644
index 0000000..3334779
--- /dev/null
+++ b/docs/grok-web-export-archive.md
@@ -0,0 +1,166 @@
+# Grok Web Export Archive
+
+This document describes the reusable support system for working with `grok.com` data exports and local Grok Imagine archives.
+
+Grok archive instances are user data. Keep them outside the repository. Reusable documentation, scripts, and templates belong in this repository under `docs/` and `tools/`.
+
+## Repository Versus Archive Instance
+
+Repository-owned files:
+
+```text
+docs/grok-web-export-archive.md
+tools/grok-export/
+```
+
+User/archive-owned files:
+
+```text
+<ArchiveRoot>/
+  archive_browser.html
+  archive_index.js
+  manifest.jsonl
+  prompts.txt
+  videos.csv
+  video_downloads.jsonl
+  video_failures.jsonl
+  video_download_events.jsonl
+  videos_source_snapshot.csv
+  videos_source_snapshot.csv.sha256
+  Images/
+  Uploads/
+  Unmapped/
+  Videos/
+```
+
+The archive instance may contain personal prompts, images, videos, post IDs, links, and logs. It must not be checked in.
+
+## What Grok Exports Contain
+
+The Grok backend export is not a relational ORM dump. For Imagine media posts, the useful record shape is flat:
+
+```json
+{
+  "id": "post uuid",
+  "user_id": "user uuid",
+  "original_prompt": "prompt text",
+  "media_type": "image or video",
+  "create_time": "ISO timestamp",
+  "link": "https://grok.com/imagine/post/..."
+}
+```
+
+The exports inspected so far do not include an explicit relationship such as `sourceImageId`, `parentImageId`, or `video.source_image_id`. That means exact video-to-source-image matching is not available from the data we have. Prompt grouping and chronological ordering are exact; source-image candidates are heuristic unless a future export includes a real parent/source field.
+
+## Extracted Files
+
+### `manifest.jsonl`
+
+One JSON object per exported image-like asset:
+
+```json
+{
+  "id": "asset uuid",
+  "kind": "image",
+  "source": "media_post | file_attachment | unknown",
+  "createTime": "ISO timestamp",
+  "prompt": "prompt text if known",
+  "file": "Images/...",
+  "bytes": 123456
+}
+```
+
+### `videos.csv`
+
+The source list for Grok Imagine video posts:
+
+```csv
+create_time,prompt,link
+2025-10-20T21:27:53.321708Z,,https://grok.com/imagine/post/<post-id>
+```
+
+The browser label `Video row N` means row `N` in `videos.csv`. The stable identifier is the post UUID from `link`.
+
+### Video Logs
+
+`video_downloads.jsonl` is the success manifest. A row should be considered successfully acquired only when it points to an existing non-empty local mp4.
+
+`video_failures.jsonl` is append-only failure history. A failure line can be stale if a later run succeeded.
+
+`video_download_events.jsonl` is the full audit trail for run starts/completions, skipped rows, duplicates, and debugging.
+
+## Local Browser Behavior
+
+The archive browser is static HTML/JS and should load assets from the local archive instance, not from Grok or X.
+
+Expected behavior:
+
+- videos load from local relative paths such as `Videos/<file>.mp4`,
+- remote media URLs and Grok links are metadata only,
+- suspect videos are hidden from normal browsing,
+- one active `<video>` element is used for the selected item,
+- volume/mute/playback speed are remembered in browser `localStorage`,
+- URL hashes identify the selected local archive item.
+
+Hash URLs look like:
+
+```text
+#video/<post-id>?path=Videos%2F<file>.mp4
+```
+
+## Suspect Videos
+
+A suspect video is one where the source post ID and resolved remote mp4 ID do not match. In practice, many post pages can accidentally resolve to the same stale/feed/nearby mp4. Those records should not be treated as true acquisitions.
+
+The browser should keep suspect videos out of normal browsing. They may remain in logs and generated indexes for auditing.
+
+## Updating an Archive Instance
+
+Use this process for any new Grok export. Substitute your own local paths.
+
+1. Save the downloaded Grok export zip outside the repo.
+2. Extract metadata/assets into an archive root.
+3. Download videos into `<ArchiveRoot>/Videos`.
+4. Rebuild `<ArchiveRoot>/archive_index.js`.
+5. Open `<ArchiveRoot>/archive_browser.html`.
+
+Reusable scripts should live under `tools/grok-export/`. They should take `--archive-root`, `--zip`, or other explicit path arguments rather than hardcoding a personal path.
+
+## Retry Strategy
+
+The downloader should be idempotent. Restarting it should quickly skip rows whose manifest entry points to an existing non-empty file.
+
+For failed rows:
+
+- rerun the downloader over the full CSV with lower concurrency,
+- inspect failures that say the page had no `share-videos` URL,
+- rebuild `archive_index.js` after any new successes.
+
+Failure logs are append-only. Current state is determined by successful manifest entries and files on disk.
+
+## Data Integrity Checklist
+
+After refreshing an archive instance:
+
+- confirm all `manifest.jsonl` file references exist,
+- confirm `videos_source_snapshot.csv.sha256` exists,
+- inspect the latest `video_download_events.jsonl` run completion,
+- rebuild `archive_index.js`,
+- open `archive_browser.html`,
+- confirm image/video/downloaded/failed/suspect counts look plausible.
+
+## What Should Not Be Committed
+
+Do not commit:
+
+- downloaded Grok export zips,
+- extracted personal backend JSON,
+- `manifest.jsonl`,
+- `videos.csv`,
+- `prompts.txt`,
+- images/videos/uploads/unmapped assets,
+- `video_downloads.jsonl`, `video_failures.jsonl`, or `video_download_events.jsonl`,
+- generated archive indexes containing personal prompts/IDs,
+- source pin exports from a personal archive.
+
+Reusable code, templates, and generic documentation belong in the project and should avoid hardcoded personal paths.
diff --git a/docs/project-organization.md b/docs/project-organization.md
new file mode 100644
index 0000000..f44d51d
--- /dev/null
+++ b/docs/project-organization.md
@@ -0,0 +1,65 @@
+# Project Organization
+
+Use this layout for new work unless there is a strong local reason not to.
+
+## Source Code
+
+- `MultiImageClient/`: main C# app and workflows.
+- `ImageGenerationClasses/`: shared C# models and settings.
+- `<Provider>API/`: provider-specific low-level clients such as `BFLApi/`, `IdeogramAPI/`, `RecraftAPI/`, and `XAIGrokAPI/`.
+- `tools/`: reusable scripts and small utilities that are part of the project but not the main app.
+
+## Documentation
+
+- `readme.md`: user-facing project overview, quick start, and provider list.
+- `AGENTS.md`: agent/project operating instructions.
+- `docs/`: focused project documentation by topic.
+
+Use lower-case, hyphenated doc names in `docs/`, for example:
+
+```text
+docs/grok-web-export-archive.md
+docs/project-organization.md
+```
+
+Avoid adding broad one-off root-level docs unless they are entry points like `readme.md` or `AGENTS.md`.
+
+## Config
+
+- Keep committed examples/templates next to the code that consumes them.
+- Keep local secrets and machine-specific settings out of git.
+- For the main app, use `MultiImageClient/settings - Fill this in and rename it.json` as the committed template and `MultiImageClient/settings.json` as the ignored local file.
+- New tool scripts should prefer explicit CLI arguments and optional sample config files over hardcoded local paths.
+
+## User Data And Generated Artifacts
+
+Do not commit personal or generated archives. Keep them outside the repo unless they are tiny, sanitized fixtures intentionally added for tests.
+
+Examples that should stay outside git:
+
+- Grok export zips and extracted archives,
+- generated images and videos,
+- prompt corpora containing personal content,
+- downloader manifests/logs from a personal account,
+- browser indexes containing personal prompts or IDs,
+- source pin exports.
+
+## Tooling
+
+Reusable tool scripts go under `tools/<topic>/`.
+
+Each tool folder should include a `README.md` explaining:
+
+- what data it reads,
+- what files it writes,
+- whether outputs can contain personal data,
+- normal command examples,
+- retry or cleanup behavior.
+
+Tool scripts should:
+
+- accept paths via command-line arguments,
+- avoid personal defaults,
+- write generated/user data to caller-provided output folders,
+- preserve source inputs where practical,
+- log enough detail to audit long-running data work.
diff --git a/readme.md b/readme.md
index 3ae5595..ba7d6bd 100644
--- a/readme.md
+++ b/readme.md
@@ -115,12 +115,17 @@ BFLApi/                      BFL/Flux API client (net9.0)
 IdeogramAPI/                 Ideogram API client (net9.0)
 RecraftAPI/                  Recraft API client (net9.0)
 
+docs/                        focused project documentation by topic
+tools/                       reusable non-app scripts and archive utilities
+
 do_flask_intern.py           optional local InternVL3-1B Flask server
 save_b64.py                  helper to decode base64 payloads from provider responses
 djangoManager/               experimental Django gallery (MySQL-backed, not actively developed)
 IdeogramHistoryExtractor/    older scratch folder
 ```
 
+See `docs/project-organization.md` for where to put new docs, config templates, reusable scripts, and generated/user data. See `docs/grok-web-export-archive.md` for the Grok web export/archive tooling notes.
+
 ## Gallery
 
 If you haven't tried BFL/Flux, you should — better composition than DALL·E 3, 2× the pixels, not quite as strong as Ideogram on in-image text but generally much cleaner images.
diff --git a/smoke_nanobanana.png b/smoke_nanobanana.png
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HcmV?d00001

diff --git a/tools/grok-export/README.md b/tools/grok-export/README.md
new file mode 100644
index 0000000..64adee0
--- /dev/null
+++ b/tools/grok-export/README.md
@@ -0,0 +1,49 @@
+# Grok Export Tools
+
+Reusable scripts for working with local `grok.com` data export archives.
+
+These tools operate on a caller-provided archive root. The archive root may contain personal prompts, images, videos, post IDs, and logs, so keep archive outputs outside the repo.
+
+See `docs/grok-web-export-archive.md` for the data model and workflow.
+
+## Extract Export Zip
+
+```powershell
+python tools/grok-export/extract_export.py `
+  --zip "C:\Path\To\grok-export.zip" `
+  --archive-root "C:\Path\To\GrokArchive\WebExport"
+```
+
+Writes image assets, `prod-grok-backend.json`, `manifest.jsonl`, `videos.csv`, and `prompts.txt` into the archive root.
+
+## Build Browser Index
+
+```powershell
+python tools/grok-export/build_archive_browser.py `
+  --archive-root "C:\Path\To\GrokArchive\WebExport" `
+  --backend-json "C:\Path\To\prod-grok-backend.json"
+```
+
+Writes:
+
+```text
+<ArchiveRoot>\archive_index.js
+```
+
+The generated index contains prompts, local relative file paths, IDs, and derived relationship data. Treat it as user/archive data, not source code.
+
+## Download Videos
+
+```powershell
+python tools/grok-export/download_videos.py `
+  --archive-root "C:\Path\To\GrokArchive\WebExport" `
+  --workers 3
+```
+
+The downloader reads `<ArchiveRoot>\videos.csv`, writes mp4 files under `<ArchiveRoot>\Videos`, and appends JSONL audit files in the archive root.
+
+Use lower worker counts for retries or flaky network behavior.
+
+## Personal Data Policy
+
+Do not commit outputs from these tools unless they are small, sanitized fixtures intentionally created for tests.
diff --git a/tools/grok-export/build_archive_browser.py b/tools/grok-export/build_archive_browser.py
new file mode 100644
index 0000000..807ad8a
--- /dev/null
+++ b/tools/grok-export/build_archive_browser.py
@@ -0,0 +1,271 @@
+import argparse
+import csv
+import json
+import math
+import re
+from collections import defaultdict
+from datetime import datetime, timezone
+from pathlib import Path
+
+
+UUID_RE = re.compile(r"/post/([0-9a-fA-F-]{36})")
+TOKEN_RE = re.compile(r"[a-z0-9']+")
+
+
+def parse_time(value: str) -> datetime:
+    if not value:
+        return datetime.min.replace(tzinfo=timezone.utc)
+    return datetime.fromisoformat(value.replace("Z", "+00:00"))
+
+
+def unix_ms(value: str) -> int:
+    return int(parse_time(value).timestamp() * 1000)
+
+
+def read_jsonl(path: Path) -> list[dict]:
+    if not path.exists():
+        return []
+    rows = []
+    with path.open("r", encoding="utf-8") as f:
+        for line in f:
+            if not line.strip():
+                continue
+            try:
+                rows.append(json.loads(line))
+            except json.JSONDecodeError:
+                continue
+    return rows
+
+
+def prompt_key(prompt: str) -> str:
+    return " ".join(TOKEN_RE.findall((prompt or "").lower()))
+
+
+def tokens(prompt: str) -> set[str]:
+    return {t for t in TOKEN_RE.findall((prompt or "").lower()) if len(t) > 2}
+
+
+def relpath(path: str | Path, archive_root: Path) -> str:
+    p = Path(path)
+    try:
+        return p.relative_to(archive_root).as_posix()
+    except ValueError:
+        return p.as_posix()
+
+
+def post_id_from_link(link: str) -> str:
+    match = UUID_RE.search(link or "")
+    return match.group(1).lower() if match else ""
+
+
+def load_manifest_images(archive_root: Path) -> list[dict]:
+    images = []
+    for i, row in enumerate(read_jsonl(archive_root / "manifest.jsonl"), start=1):
+        file_name = row.get("file") or ""
+        file_path = archive_root / file_name
+        images.append(
+            {
+                "id": row.get("id") or f"image-{i}",
+                "type": "image",
+                "source": row.get("source") or "",
+                "createTime": row.get("createTime") or "",
+                "t": unix_ms(row.get("createTime") or ""),
+                "prompt": row.get("prompt") or "",
+                "file": relpath(file_name, archive_root),
+                "bytes": row.get("bytes") or (file_path.stat().st_size if file_path.exists() else 0),
+            }
+        )
+    return sorted(images, key=lambda x: (x["t"], x["id"]))
+
+
+def load_video_rows(archive_root: Path) -> list[dict]:
+    rows = []
+    with (archive_root / "videos.csv").open("r", encoding="utf-8-sig", newline="") as f:
+        reader = csv.DictReader(f)
+        for i, row in enumerate(reader, start=1):
+            post_id = post_id_from_link(row.get("link", ""))
+            rows.append(
+                {
+                    "id": post_id or f"video-{i}",
+                    "type": "video",
+                    "rowIndex": i,
+                    "createTime": row.get("create_time") or "",
+                    "t": unix_ms(row.get("create_time") or ""),
+                    "prompt": row.get("prompt") or "",
+                    "link": row.get("link") or "",
+                }
+            )
+    return rows
+
+
+def load_downloads(archive_root: Path) -> dict[str, dict]:
+    downloads = {}
+    for row in read_jsonl(archive_root / "video_downloads.jsonl"):
+        post_id = row.get("post_id")
+        file_name = row.get("file")
+        if not post_id or not file_name:
+            continue
+        file_path = Path(file_name)
+        if not file_path.exists() or file_path.stat().st_size <= 0:
+            continue
+        media = (row.get("media") or [{}])[0]
+        downloads[post_id] = {
+            "status": "downloaded",
+            "file": relpath(file_path, archive_root),
+            "bytes": file_path.stat().st_size,
+            "mediaUrl": media.get("url") or "",
+            "notes": row.get("notes") or [],
+        }
+    return downloads
+
+
+def load_failures(archive_root: Path) -> dict[str, dict]:
+    failures = {}
+    for row in read_jsonl(archive_root / "video_failures.jsonl"):
+        post_id = row.get("post_id")
+        if not post_id:
+            continue
+        failures[post_id] = {
+            "status": "failed",
+            "error": row.get("error") or row.get("reason") or "",
+            "notes": row.get("notes") or [],
+        }
+    return failures
+
+
+def enrich_videos(archive_root: Path, videos: list[dict]) -> list[dict]:
+    downloads = load_downloads(archive_root)
+    failures = load_failures(archive_root)
+    for video in videos:
+        if video["id"] in downloads:
+            video.update(downloads[video["id"]])
+        elif video["id"] in failures:
+            video.update(failures[video["id"]])
+        else:
+            video["status"] = "missing"
+        media_url = video.get("mediaUrl") or ""
+        media_id = Path(media_url).stem if media_url else ""
+        video["mediaId"] = media_id
+        video["suspectMedia"] = bool(media_id and media_id != video["id"])
+    return videos
+
+
+def assign_prompt_groups(items: list[dict]) -> dict[str, list[str]]:
+    groups = defaultdict(list)
+    item_by_id = {item["id"]: item for item in items}
+    for item in sorted(items, key=lambda x: (x["t"], x["id"])):
+        key = prompt_key(item.get("prompt") or "")
+        if key:
+            groups[key].append(item["id"])
+
+    named_groups = {}
+    group_num = 1
+    for key, ids in sorted(groups.items(), key=lambda kv: (-len(kv[1]), kv[0])):
+        if len(ids) < 2:
+            continue
+        group_id = f"p{group_num}"
+        group_num += 1
+        named_groups[group_id] = ids
+        for seq, item_id in enumerate(ids, start=1):
+            item = item_by_id.get(item_id)
+            if item:
+                item["promptGroup"] = group_id
+                item["promptSeq"] = seq
+                item["promptGroupCount"] = len(ids)
+    return named_groups
+
+
+def rank_source_candidates(images: list[dict], videos: list[dict]) -> None:
+    image_tokens = {img["id"]: tokens(img.get("prompt") or "") for img in images}
+    sorted_images = sorted(images, key=lambda x: x["t"])
+
+    for video in videos:
+        vt = video["t"]
+        vp = tokens(video.get("prompt") or "")
+        scored = []
+        for img in sorted_images:
+            if img["t"] > vt:
+                break
+            age_hours = max((vt - img["t"]) / 3_600_000, 0)
+            if age_hours > 24 * 45:
+                continue
+            it = image_tokens[img["id"]]
+            overlap = len(vp & it)
+            union = len(vp | it) or 1
+            jaccard = overlap / union
+            time_score = 1 / (1 + math.log1p(age_hours))
+            same_prompt = 1 if prompt_key(video.get("prompt") or "") == prompt_key(img.get("prompt") or "") else 0
+            score = (jaccard * 70) + (time_score * 25) + (same_prompt * 40)
+            if overlap or age_hours <= 8 or same_prompt:
+                scored.append((score, img["id"]))
+        scored.sort(reverse=True)
+        video["sourceCandidates"] = [image_id for _, image_id in scored[:16]]
+
+
+def build(archive_root: Path, backend_json: Path, out: Path) -> dict:
+    with backend_json.open("r", encoding="utf-8") as f:
+        backend = json.load(f)
+
+    images = load_manifest_images(archive_root)
+    videos = enrich_videos(archive_root, load_video_rows(archive_root))
+    rank_source_candidates(images, videos)
+
+    all_items = images + videos
+    prompt_groups = assign_prompt_groups(all_items)
+
+    candidate_videos_by_image = defaultdict(list)
+    for video in videos:
+        for image_id in video.get("sourceCandidates") or []:
+            candidate_videos_by_image[image_id].append(video["id"])
+    for image in images:
+        image["candidateVideoIds"] = candidate_videos_by_image.get(image["id"], [])[:80]
+
+    media_counts = defaultdict(int)
+    for video in videos:
+        if video.get("mediaUrl"):
+            media_counts[video["mediaUrl"]] += 1
+    for video in videos:
+        video["duplicateMediaCount"] = media_counts.get(video.get("mediaUrl") or "", 0)
+
+    index = {
+        "generatedAt": datetime.now(timezone.utc).isoformat(),
+        "basePath": str(archive_root),
+        "stats": {
+            "backendMediaPosts": len(backend.get("media_posts") or []),
+            "images": len(images),
+            "videos": len(videos),
+            "downloadedVideos": sum(1 for v in videos if v.get("status") == "downloaded"),
+            "failedVideos": sum(1 for v in videos if v.get("status") == "failed"),
+            "suspectVideos": sum(1 for v in videos if v.get("suspectMedia")),
+            "promptGroups": len(prompt_groups),
+        },
+        "items": sorted(all_items, key=lambda x: (x["t"], x["id"])),
+        "promptGroups": prompt_groups,
+    }
+
+    out.write_text(
+        "window.GROK_ARCHIVE_INDEX = "
+        + json.dumps(index, ensure_ascii=False, separators=(",", ":"))
+        + ";\n",
+        encoding="utf-8",
+    )
+    return index
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Build archive_index.js for a local Grok web export archive")
+    parser.add_argument("--archive-root", required=True, type=Path)
+    parser.add_argument("--backend-json", required=True, type=Path)
+    parser.add_argument("--out", type=Path)
+    args = parser.parse_args()
+
+    archive_root = args.archive_root.resolve()
+    out = args.out or archive_root / "archive_index.js"
+    index = build(archive_root, args.backend_json.resolve(), out)
+    print(f"Wrote {out}")
+    print(json.dumps(index["stats"], indent=2))
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/grok-export/download_videos.py b/tools/grok-export/download_videos.py
new file mode 100644
index 0000000..db2f524
--- /dev/null
+++ b/tools/grok-export/download_videos.py
@@ -0,0 +1,401 @@
+import argparse
+import csv
+import hashlib
+import html
+import json
+import re
+import shutil
+import sys
+import time
+import urllib.error
+import urllib.parse
+import urllib.request
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from dataclasses import dataclass
+from datetime import datetime, timezone
+from pathlib import Path
+
+
+VIDEO_URL_RE = re.compile(
+    r"https:(?:\\?/\\?/|//)imagine-public\.x\.ai(?:\\?/|/)imagine-public(?:\\?/|/)share-videos(?:\\?/|/)"
+    r"([0-9a-fA-F-]{36})\.mp4"
+)
+POST_ID_RE = re.compile(r"/post/([0-9a-fA-F-]{36})")
+
+USER_AGENT = (
+    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
+    "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36"
+)
+
+
+@dataclass(frozen=True)
+class VideoRow:
+    index: int
+    create_time: str
+    prompt: str
+    link: str
+    post_id: str
+
+
+def request(url: str, *, referer: str, range_header: str | None = None):
+    headers = {
+        "User-Agent": USER_AGENT,
+        "Accept": "*/*",
+        "Referer": referer,
+    }
+    if range_header:
+        headers["Range"] = range_header
+    return urllib.request.Request(url, headers=headers)
+
+
+def read_existing_jsonl(path: Path) -> dict[str, dict]:
+    if not path.exists():
+        return {}
+    result: dict[str, dict] = {}
+    with path.open("r", encoding="utf-8") as f:
+        for line in f:
+            if not line.strip():
+                continue
+            try:
+                obj = json.loads(line)
+            except json.JSONDecodeError:
+                continue
+            post_id = obj.get("post_id")
+            file_path = obj.get("file")
+            if post_id and file_path and Path(file_path).exists() and Path(file_path).stat().st_size > 0:
+                result[post_id] = obj
+    return result
+
+
+def append_jsonl(path: Path, obj: dict):
+    path.parent.mkdir(parents=True, exist_ok=True)
+    with path.open("a", encoding="utf-8") as f:
+        f.write(json.dumps(obj, ensure_ascii=False, separators=(",", ":")) + "\n")
+
+
+def sha256_file(path: Path) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as f:
+        for chunk in iter(lambda: f.read(1024 * 1024), b""):
+            digest.update(chunk)
+    return digest.hexdigest()
+
+
+def preserve_source_csv(videos_csv: Path, snapshot_path: Path) -> dict:
+    snapshot_path.parent.mkdir(parents=True, exist_ok=True)
+    source_hash = sha256_file(videos_csv)
+    if not snapshot_path.exists():
+        shutil.copy2(videos_csv, snapshot_path)
+    snapshot_hash = sha256_file(snapshot_path)
+
+    hash_path = snapshot_path.with_suffix(snapshot_path.suffix + ".sha256")
+    if not hash_path.exists():
+        hash_path.write_text(f"{snapshot_hash}  {snapshot_path.name}\n", encoding="utf-8")
+
+    return {
+        "source_csv": str(videos_csv),
+        "source_sha256": source_hash,
+        "snapshot_csv": str(snapshot_path),
+        "snapshot_sha256": snapshot_hash,
+        "snapshot_matches_source": source_hash == snapshot_hash,
+    }
+
+
+def event_record(event: str, **kwargs) -> dict:
+    return {
+        "event": event,
+        "timestamp_utc": datetime.now(timezone.utc).isoformat(),
+        **kwargs,
+    }
+
+
+def load_rows(videos_csv: Path, limit: int | None = None) -> list[VideoRow]:
+    rows: list[VideoRow] = []
+    with videos_csv.open("r", encoding="utf-8-sig", newline="") as f:
+        reader = csv.DictReader(f)
+        for i, row in enumerate(reader, start=1):
+            link = row.get("link", "")
+            match = POST_ID_RE.search(link)
+            if not match:
+                continue
+            rows.append(
+                VideoRow(
+                    index=i,
+                    create_time=row.get("create_time", ""),
+                    prompt=row.get("prompt", ""),
+                    link=link,
+                    post_id=match.group(1).lower(),
+                )
+            )
+            if limit and len(rows) >= limit:
+                break
+    return rows
+
+
+def parse_timestamp(value: str) -> str:
+    try:
+        dt = datetime.fromisoformat(value.replace("Z", "+00:00"))
+        return dt.strftime("%Y%m%d_%H%M%S")
+    except ValueError:
+        return "unknown_time"
+
+
+def direct_url(media_id: str) -> str:
+    return f"https://imagine-public.x.ai/imagine-public/share-videos/{media_id}.mp4"
+
+
+def probe_video_url(url: str, referer: str) -> tuple[bool, str]:
+    try:
+        req = request(url, referer=referer, range_header="bytes=0-0")
+        with urllib.request.urlopen(req, timeout=30) as res:
+            status = getattr(res, "status", 200)
+            ctype = res.headers.get("Content-Type", "")
+            res.read(1)
+        if status in (200, 206) and "video" in ctype.lower():
+            return True, f"{status} {ctype}"
+        return False, f"{status} {ctype}"
+    except urllib.error.HTTPError as ex:
+        return False, f"{ex.code} {ex.reason}"
+    except Exception as ex:
+        return False, type(ex).__name__ + ": " + str(ex)
+
+
+def fetch_post_page(post_url: str) -> str:
+    req = request(post_url, referer="https://grok.com/imagine")
+    with urllib.request.urlopen(req, timeout=45) as res:
+        raw = res.read()
+        charset = res.headers.get_content_charset() or "utf-8"
+    return raw.decode(charset, errors="replace")
+
+
+def extract_video_urls(page_text: str) -> list[str]:
+    page_text = html.unescape(page_text).replace("\\/", "/")
+    urls: list[str] = []
+    seen: set[str] = set()
+    for match in VIDEO_URL_RE.finditer(page_text):
+        media_id = match.group(1).lower()
+        url = direct_url(media_id)
+        if url not in seen:
+            seen.add(url)
+            urls.append(url)
+    return urls
+
+
+def resolve_video_urls(row: VideoRow) -> tuple[list[str], list[str]]:
+    notes: list[str] = []
+    candidates: list[str] = []
+
+    guessed = direct_url(row.post_id)
+    ok, note = probe_video_url(guessed, row.link)
+    notes.append(f"guess:{note}")
+    if ok:
+        return [guessed], notes
+
+    try:
+        page = fetch_post_page(row.link)
+        extracted = extract_video_urls(page)
+        notes.append(f"page_urls:{len(extracted)}")
+        if guessed in extracted:
+            candidates.append(guessed)
+        else:
+            candidates.extend(extracted)
+    except Exception as ex:
+        notes.append("page_error:" + type(ex).__name__ + ": " + str(ex))
+
+    valid: list[str] = []
+    seen: set[str] = set()
+    for url in candidates:
+        if url in seen:
+            continue
+        seen.add(url)
+        ok, note = probe_video_url(url, row.link)
+        notes.append(f"{Path(urllib.parse.urlparse(url).path).stem}:{note}")
+        if ok:
+            valid.append(url)
+    return valid, notes
+
+
+def download_url(url: str, dest: Path, referer: str) -> int:
+    tmp = dest.with_suffix(dest.suffix + ".part")
+    if tmp.exists():
+        tmp.unlink()
+    req = request(url, referer=referer)
+    with urllib.request.urlopen(req, timeout=120) as res:
+        tmp.parent.mkdir(parents=True, exist_ok=True)
+        with tmp.open("wb") as f:
+            while True:
+                chunk = res.read(1024 * 1024)
+                if not chunk:
+                    break
+                f.write(chunk)
+    tmp.replace(dest)
+    return dest.stat().st_size
+
+
+def output_path(videos_dir: Path, row: VideoRow, url: str, ordinal: int) -> Path:
+    media_id = Path(urllib.parse.urlparse(url).path).stem.lower()
+    stamp = parse_timestamp(row.create_time)
+    suffix = "" if ordinal == 0 else f"_{ordinal + 1:02d}"
+    return videos_dir / f"{stamp}_{row.post_id[:8]}_{media_id[:8]}{suffix}.mp4"
+
+
+def source_row(row: VideoRow) -> dict:
+    return {
+        "row_index": row.index,
+        "create_time": row.create_time,
+        "prompt": row.prompt,
+        "link": row.link,
+        "post_id": row.post_id,
+    }
+
+
+def split_unique_rows(rows: list[VideoRow]) -> tuple[list[VideoRow], list[tuple[VideoRow, VideoRow]]]:
+    unique: list[VideoRow] = []
+    duplicates: list[tuple[VideoRow, VideoRow]] = []
+    first_by_post_id: dict[str, VideoRow] = {}
+    for row in rows:
+        first = first_by_post_id.get(row.post_id)
+        if first is None:
+            first_by_post_id[row.post_id] = row
+            unique.append(row)
+        else:
+            duplicates.append((row, first))
+    return unique, duplicates
+
+
+def process_row(row: VideoRow, videos_dir: Path, existing_done: dict[str, dict], dry_run: bool = False) -> dict:
+    if row.post_id in existing_done and Path(existing_done[row.post_id].get("file", "")).exists():
+        return {
+            "status": "skipped",
+            **source_row(row),
+            "file": existing_done[row.post_id].get("file"),
+            "existing_record": existing_done[row.post_id],
+        }
+
+    urls, notes = resolve_video_urls(row)
+    if not urls:
+        return {
+            "status": "failed",
+            **source_row(row),
+            "notes": notes,
+        }
+
+    downloaded = []
+    for ordinal, url in enumerate(urls):
+        dest = output_path(videos_dir, row, url, ordinal)
+        if dest.exists() and dest.stat().st_size > 0:
+            size = dest.stat().st_size
+        elif dry_run:
+            size = 0
+        else:
+            size = download_url(url, dest, row.link)
+        downloaded.append({"url": url, "file": str(dest), "bytes": size})
+
+    return {
+        "status": "downloaded",
+        **source_row(row),
+        "media": downloaded,
+        "file": downloaded[0]["file"],
+        "bytes": sum(x["bytes"] for x in downloaded),
+        "notes": notes,
+    }
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Download Grok Imagine videos from an archive videos.csv")
+    parser.add_argument("--archive-root", required=True, type=Path)
+    parser.add_argument("--csv", type=Path)
+    parser.add_argument("--out", type=Path)
+    parser.add_argument("--manifest", type=Path)
+    parser.add_argument("--failures", type=Path)
+    parser.add_argument("--events", type=Path)
+    parser.add_argument("--source-snapshot", type=Path)
+    parser.add_argument("--limit", type=int)
+    parser.add_argument("--workers", type=int, default=3)
+    parser.add_argument("--dry-run", action="store_true")
+    args = parser.parse_args()
+
+    archive_root = args.archive_root.resolve()
+    videos_csv = args.csv or archive_root / "videos.csv"
+    videos_dir = args.out or archive_root / "Videos"
+    manifest = args.manifest or archive_root / "video_downloads.jsonl"
+    failures = args.failures or archive_root / "video_failures.jsonl"
+    events = args.events or archive_root / "video_download_events.jsonl"
+    source_snapshot = args.source_snapshot or archive_root / "videos_source_snapshot.csv"
+
+    source_info = preserve_source_csv(videos_csv, source_snapshot)
+    rows = load_rows(videos_csv, args.limit)
+    unique_rows, duplicate_rows = split_unique_rows(rows)
+    done = read_existing_jsonl(manifest)
+
+    append_jsonl(events, event_record(
+        "run_start",
+        source_rows=len(rows),
+        unique_rows_to_process=len(unique_rows),
+        duplicate_source_rows=len(duplicate_rows),
+        out=str(videos_dir),
+        manifest=str(manifest),
+        failures=str(failures),
+        dry_run=args.dry_run,
+        workers=args.workers,
+        source=source_info,
+    ))
+
+    for duplicate, first in duplicate_rows:
+        append_jsonl(events, event_record(
+            "row_duplicate_source",
+            result={
+                "status": "duplicate_source",
+                **source_row(duplicate),
+                "canonical_row_index": first.index,
+                "canonical_link": first.link,
+            },
+        ))
+
+    print(
+        f"source_rows={len(rows)} unique_rows_to_process={len(unique_rows)} "
+        f"duplicate_source_rows={len(duplicate_rows)} out={videos_dir}",
+        flush=True,
+    )
+
+    counts = {"downloaded": 0, "failed": 0, "skipped": 0}
+    started = time.time()
+    with ThreadPoolExecutor(max_workers=max(1, args.workers)) as executor:
+        futures = {executor.submit(process_row, row, videos_dir, done, args.dry_run): row for row in unique_rows}
+        for n, future in enumerate(as_completed(futures), start=1):
+            row = futures[future]
+            try:
+                result = future.result()
+            except Exception as ex:
+                result = {
+                    "status": "failed",
+                    **source_row(row),
+                    "notes": [type(ex).__name__ + ": " + str(ex)],
+                }
+
+            status = result.get("status", "failed")
+            counts[status] = counts.get(status, 0) + 1
+            append_jsonl(events, event_record("row_" + status, result=result))
+            if args.dry_run:
+                pass
+            elif status == "failed":
+                append_jsonl(failures, result)
+            elif status == "downloaded":
+                append_jsonl(manifest, result)
+
+            if n % 10 == 0 or status != "downloaded":
+                elapsed = max(1, time.time() - started)
+                rate = n / elapsed
+                print(
+                    f"progress={n}/{len(unique_rows)} downloaded={counts.get('downloaded', 0)} "
+                    f"failed={counts.get('failed', 0)} skipped={counts.get('skipped', 0)} rate={rate:.2f}/s",
+                    flush=True,
+                )
+
+    append_jsonl(events, event_record("run_complete", counts=counts))
+    print("complete " + " ".join(f"{k}={v}" for k, v in counts.items()), flush=True)
+    return 0 if counts.get("downloaded", 0) or not counts.get("failed", 0) else 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/tools/grok-export/extract_export.py b/tools/grok-export/extract_export.py
new file mode 100644
index 0000000..33352d8
--- /dev/null
+++ b/tools/grok-export/extract_export.py
@@ -0,0 +1,187 @@
+import argparse
+import csv
+import datetime
+import json
+import re
+import zipfile
+from pathlib import Path
+
+
+ASSET_RE = re.compile(r"prod-mc-asset-server//([0-9a-f-]{36})/content$")
+UUID_RE = re.compile(r"[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}")
+
+
+def slug(text: str, maxlen: int = 80) -> str:
+    value = re.sub(r"[^A-Za-z0-9 ]+", "", text or "").strip()
+    value = re.sub(r"\s+", "_", value)
+    return value[:maxlen] or "no_prompt"
+
+
+def sniff_ext(head: bytes) -> str:
+    if head[:3] == b"\xff\xd8\xff":
+        return ".jpg"
+    if head[:8] == b"\x89PNG\r\n\x1a\n":
+        return ".png"
+    if head[:4] == b"RIFF":
+        return ".webp"
+    if head[4:8] == b"ftyp":
+        return ".mp4"
+    return ".bin"
+
+
+def find_backend_json(zf: zipfile.ZipFile, preferred_name: str) -> str:
+    names = zf.namelist()
+    if preferred_name in names:
+        return preferred_name
+    matches = [name for name in names if name.endswith("prod-grok-backend.json")]
+    if not matches:
+        raise FileNotFoundError("Could not find prod-grok-backend.json in export zip")
+    return matches[0]
+
+
+def load_backend(zf: zipfile.ZipFile, backend_name: str) -> dict:
+    with zf.open(backend_name) as f:
+        return json.loads(f.read().decode("utf-8"))
+
+
+def collect_upload_ids_and_chat_cards(data: dict) -> tuple[set[str], list[dict]]:
+    upload_ids: set[str] = set()
+    chat_cards: list[dict] = []
+    for conversation in data.get("conversations") or []:
+        title = (conversation.get("conversation") or {}).get("title", "")
+        for response_row in conversation.get("responses") or []:
+            response = response_row.get("response") or {}
+            for attachment in response.get("file_attachments") or []:
+                upload_ids.update(UUID_RE.findall(json.dumps(attachment)))
+
+            create_time = response.get("create_time")
+            ms = int(create_time["$date"]["$numberLong"]) if isinstance(create_time, dict) else 0
+            for card_json in response.get("card_attachments_json") or []:
+                try:
+                    card = json.loads(card_json)
+                except Exception:
+                    continue
+                chunk = card.get("image_chunk") or {}
+                if chunk.get("imageUuid") and chunk.get("progress") == 100:
+                    chat_cards.append(
+                        {
+                            "uuid": chunk["imageUuid"],
+                            "ms": ms,
+                            "conv_title": title,
+                            "prompt": (chunk.get("imagePrompt") or {}).get("prompt", ""),
+                            "model": chunk.get("imageModel", ""),
+                            "moderated": chunk.get("moderated", False),
+                        }
+                    )
+    return upload_ids, chat_cards
+
+
+def extract(zip_path: Path, dest: Path, backend_name: str) -> dict:
+    dest.mkdir(parents=True, exist_ok=True)
+    with zipfile.ZipFile(zip_path) as zf:
+        backend_zip_name = find_backend_json(zf, backend_name)
+        data = load_backend(zf, backend_zip_name)
+        (dest / "prod-grok-backend.json").write_text(json.dumps(data, ensure_ascii=False), encoding="utf-8")
+
+        zip_paths = {}
+        for name in zf.namelist():
+            match = ASSET_RE.search(name)
+            if match:
+                zip_paths[match.group(1)] = name
+
+        posts_by_id = {post["id"]: post for post in data.get("media_posts") or []}
+        upload_ids, chat_cards = collect_upload_ids_and_chat_cards(data)
+
+        for subdir in ("Images", "Uploads", "Unmapped"):
+            (dest / subdir).mkdir(parents=True, exist_ok=True)
+
+        manifest = []
+        counts = {"Images": 0, "Uploads": 0, "Unmapped": 0}
+        for uid, zpath in zip_paths.items():
+            raw = zf.read(zpath)
+            ext = sniff_ext(raw[:16])
+            post = posts_by_id.get(uid)
+            if post:
+                ts = post["create_time"].replace("-", "").replace(":", "")[:15].replace("T", "_")
+                name = f"{ts}_{slug(post.get('original_prompt', ''))}_{uid[:8]}{ext}"
+                subdir, source = "Images", "media_post"
+                prompt, ctime = post.get("original_prompt", ""), post.get("create_time", "")
+            elif uid in upload_ids:
+                zdt = datetime.datetime(*zf.getinfo(zpath).date_time)
+                name = f"{zdt:%Y%m%d_%H%M%S}_upload_{uid[:8]}{ext}"
+                subdir, source = "Uploads", "file_attachment"
+                prompt, ctime = "", zdt.isoformat()
+            else:
+                zdt = datetime.datetime(*zf.getinfo(zpath).date_time)
+                name = f"{zdt:%Y%m%d_%H%M%S}_{uid}{ext}"
+                subdir, source = "Unmapped", "unknown"
+                prompt, ctime = "", zdt.isoformat()
+
+            out = dest / subdir / name
+            if not (out.exists() and out.stat().st_size == len(raw)):
+                out.write_bytes(raw)
+            counts[subdir] += 1
+            manifest.append(
+                {
+                    "id": uid,
+                    "kind": "image",
+                    "source": source,
+                    "createTime": ctime,
+                    "prompt": prompt,
+                    "file": f"{subdir}/{name}",
+                    "bytes": len(raw),
+                }
+            )
+
+        vids = sorted(
+            (post for post in data.get("media_posts") or [] if post.get("media_type") == "video"),
+            key=lambda post: post.get("create_time", ""),
+        )
+        with (dest / "videos.csv").open("w", newline="", encoding="utf-8") as f:
+            writer = csv.writer(f)
+            writer.writerow(["create_time", "prompt", "link"])
+            for post in vids:
+                writer.writerow([post.get("create_time", ""), post.get("original_prompt", ""), post.get("link", "")])
+
+        with (dest / "manifest.jsonl").open("w", encoding="utf-8") as f:
+            for row in sorted(manifest, key=lambda row: row["createTime"]):
+                f.write(json.dumps(row, ensure_ascii=False) + "\n")
+
+        prompt_events = []
+        for post in data.get("media_posts") or []:
+            if post.get("original_prompt"):
+                prompt_events.append((post.get("create_time", ""), f"imagine-{post.get('media_type', '')}", post["original_prompt"]))
+        for card in chat_cards:
+            if card["prompt"]:
+                t = datetime.datetime.fromtimestamp(card["ms"] / 1000, datetime.timezone.utc).isoformat()
+                kind = f"chat-image ({card['model']})" + (" [moderated]" if card["moderated"] else "")
+                prompt_events.append((t, kind, card["prompt"]))
+        prompt_events.sort()
+        with (dest / "prompts.txt").open("w", encoding="utf-8") as f:
+            f.write(f"# Every prompt in grok.com export - {len(prompt_events)} entries\n\n")
+            for t, kind, prompt in prompt_events:
+                f.write(f"[{t}] {kind}\n{prompt}\n\n")
+
+    return {
+        "assets": counts,
+        "manifest_entries": len(manifest),
+        "video_posts": len(vids),
+        "prompt_entries": len(prompt_events),
+        "chat_image_cards": len(chat_cards),
+    }
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Extract a grok.com data export zip into a local archive root")
+    parser.add_argument("--zip", required=True, type=Path, dest="zip_path")
+    parser.add_argument("--archive-root", required=True, type=Path)
+    parser.add_argument("--backend-name", default="prod-grok-backend.json")
+    args = parser.parse_args()
+
+    stats = extract(args.zip_path.resolve(), args.archive_root.resolve(), args.backend_name)
+    print(json.dumps(stats, indent=2))
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

From ad882dd1040f940261fe75d59b0bb913dc38f5d8 Mon Sep 17 00:00:00 2001
From: ernie <ernestfrench@gmail.com>
Date: Fri, 12 Jun 2026 00:33:11 -0700
Subject: [PATCH 74/78] grok

---
 docs/grok-archive-restructure-prd.md | 342 +++++++++++++
 tools/grok-export/README.md          |  70 ++-
 tools/grok-export/archive_graph.html | 691 +++++++++++++++++++++++++++
 tools/grok-export/build_graph.py     | 264 ++++++++++
 tools/grok-export/harvest_relay.py   | 135 ++++++
 tools/grok-export/make_posters.py    | 100 ++++
 6 files changed, 1601 insertions(+), 1 deletion(-)
 create mode 100644 docs/grok-archive-restructure-prd.md
 create mode 100644 tools/grok-export/archive_graph.html
 create mode 100644 tools/grok-export/build_graph.py
 create mode 100644 tools/grok-export/harvest_relay.py
 create mode 100644 tools/grok-export/make_posters.py

diff --git a/docs/grok-archive-restructure-prd.md b/docs/grok-archive-restructure-prd.md
new file mode 100644
index 0000000..64c7046
--- /dev/null
+++ b/docs/grok-archive-restructure-prd.md
@@ -0,0 +1,342 @@
+# Grok Archive Restructure & Relationship Restoration — PRD
+
+Status: implemented (first pass). The authoritative graph has been harvested and a
+working lineage visualizer is in use. This document captures the requirements, the
+confirmed data model, and the pipeline. See `tools/grok-export/README.md` for commands.
+
+Implemented on the reference instance (`C:\grokArchive\WebExport`):
+2,207 liked root posts harvested → 10,836 graph nodes (3,757 images, 7,079 videos),
+5,231 authoritative edges (5,073 image→video, 112 extensions, 46 edits), 5,605 lineage
+clusters; 7,029 local mp4s + 7,024 posters + all 3,757 source images present locally.
+
+This document captures requirements and research for reconstructing
+the relationship graph inside a Grok Imagine archive so the local HTML visualizer
+can navigate the real creative lineage (image → video → extension, variants, etc.).
+
+It is a reusable, repository-owned design doc. Archive instances remain user data and
+stay outside the repo (see `docs/project-organization.md` and
+`docs/grok-web-export-archive.md`).
+
+## 1. Problem
+
+We have a large local Grok Imagine archive at an archive root (instance:
+`C:\grokArchive\WebExport`). It was produced by the GDPR-style `grok.com` data export
+plus our own download tools under `tools/grok-export/`. Current instance scale:
+
+- ~1,900 image manifest entries (`Images/` 811 files, `Uploads/` 82, `Unmapped/` 1,020).
+- ~7,086 video rows in `videos.csv`; ~7,034 mp4 files downloaded (~15.7 GB).
+- Each video post resolves to exactly one mp4 (post UUID == `share-videos/<uuid>.mp4`).
+
+Grok Imagine content is **inherently a graph**, but the export we have is **flat**.
+Real relationships include:
+
+- **words → image** (text-to-image).
+- **image → video** using a *mode/guide* (Normal, Fun, Custom, Spicy) with **no text prompt**.
+- **image → video** with a **full text prompt** (and/or a preset template such as `I2I2V`).
+- **video → longer video** ("extend"), continuing from the last frame, optionally with its
+  own new prompt and a chosen extension duration.
+- **one image → many video variants** (e.g. the same source image animated 10+ times).
+- **one video → many extension variants**.
+
+None of these parent/child links survive in our current flat data. The visualizer can
+only show a time-ordered list plus heuristic guesses. We want to **restore the true graph**
+and navigate it.
+
+## 2. Goals / Non-Goals
+
+### Goals
+
+1. Define the Grok Imagine domain model (entities + edge types) precisely.
+2. Identify every source from which relationships can be recovered, ranked by fidelity.
+3. Specify a normalized graph data model (nodes + typed edges + provenance/confidence)
+   that the visualizer consumes.
+4. Specify the restoration pipeline (new/updated tools) that produces that graph.
+5. Specify visualizer requirements for navigating the graph (root-image clusters,
+   variant fans, extension timelines).
+6. Preserve all existing downloaded bytes; never re-encode or destroy current assets.
+
+### Non-Goals
+
+- Re-generating any media.
+- Building a server backend; the visualizer stays static local HTML/JS.
+- Committing any archive instance data.
+- Perfect reconstruction where the authoritative data no longer exists — heuristics are
+  explicitly allowed and must be labeled as such.
+
+## 3. Domain Model (Grok Imagine)
+
+Confirmed from research (xAI video docs, grok internal REST behavior, community tooling)
+and from inspecting our archive.
+
+### Entities
+
+- **Image post** — a generated or uploaded still. Has: id (UUID), prompt (may be empty
+  for uploads), create time, pixels, source frame.
+- **Video post** — an animated clip. Has: id (UUID), create time, prompt (may be empty
+  when only a mode/guide was used), duration, poster/first frame, mp4.
+- **Upload** — a user-supplied still used as a source (no generation prompt).
+
+### Generation modes (xAI video API "request modes")
+
+| Mode | Inputs | Meaning |
+| --- | --- | --- |
+| Text-to-video | prompt only | video from text alone |
+| Image-to-video | prompt + image | image is the **starting frame** |
+| Reference-to-video | prompt + reference_images | guided by reference image(s) |
+| Edit-video | video + prompt | modify an existing video |
+| Extend-video | video + prompt (+ duration) | continue from the **last frame**; output = original + extension stitched |
+
+Image→video mode/guide presets in the consumer product: **Normal, Fun, Custom, Spicy**
+(Spicy is the less-moderated mode). A video created with a guide and no typed prompt is
+the common "empty prompt" case we see (2,360 of 7,086 rows). Preset *templates* observed
+embedded in post pages carry a `templateType` such as `I2I` (image-to-image) and `I2I2V`
+(image-to-image-to-video).
+
+Extension facts (xAI docs + Replicate/3rd-party mirrors): source video 2–15s; extension
+2–10s (default 6s); the result is the original footage **plus** the continuation stitched
+into one mp4. This means an extension chain produces progressively longer clips that
+share lineage and (usually) prompt.
+
+### Edge types we must reconstruct
+
+- `derivedFrom(video → image)` — image-to-video starting frame. Carries `mode/guide`,
+  optional `prompt`, optional `templateType`.
+- `extends(video → video)` — extension/continuation. Carries `extensionDuration`,
+  optional new `prompt`, and ordering within a chain.
+- `referenceOf(video → image[])` — reference-to-video guidance images.
+- `editOf(video → video)` — edit-video.
+- `variantOf(node → group)` — sibling variants sharing the same parent (image siblings or
+  video siblings). Derived, not a stored edge.
+- `promptGroup` — items sharing normalized prompt text (already implemented heuristically).
+
+## 4. What We Have vs. What Is Lost
+
+Surviving in the archive instance:
+
+- `manifest.jsonl` — image assets (id, source, createTime, prompt, file, bytes).
+- `videos.csv` — video posts (create_time, prompt, link → post UUID).
+- `video_downloads.jsonl` / `video_failures.jsonl` / `video_download_events.jsonl` — download audit.
+- `prompts.txt` — chronological prompt log (includes chat-image cards w/ model + moderated flag).
+- `archive_index.js` + `archive_browser.html` — current generated index and static viewer.
+- Downloaded media under `Images/`, `Uploads/`, `Unmapped/`, `Videos/`.
+- Top-level `grok_ledger.jsonl` (our own MultiImageClient `GrokImagine` generations via `XAIGrokAPI`,
+  source `log-backfill`) — separate provenance, not the web export graph.
+
+Lost / never captured:
+
+- `prod-grok-backend.json` (the raw export) has been deleted from the instance.
+- Even when present, the GDPR export is **flat**: it does **not** contain `sourceImageId`,
+  `parentPostId`, mode/guide, or duration. The current `videos.csv`/`manifest.jsonl` reflect that.
+- The video downloader fetched each post page but discarded everything except the mp4 URL;
+  the post HTML did **not** server-render parent/child data anyway (only the prompt via the
+  `<meta name="description">` tag, the `og:image` poster, and the `og:video` mp4).
+
+**Conclusion:** the authoritative graph is not in any file we currently hold. It must be
+re-harvested from grok's authenticated API, or approximated with heuristics.
+
+## 5. Sources of Truth for Relationships (ranked)
+
+### S1 — Grok internal REST API (PRIMARY, authoritative) — CONFIRMED
+
+Grok's own site loads media through an internal REST endpoint while logged in:
+
+```
+POST https://grok.com/rest/media/post/list
+body: { "limit": 100, "filter": { "source": "MEDIA_POST_SOURCE_LIKED" }, "cursor": <ms> }
+```
+
+It is session-cookie authenticated (runs inside the logged-in browser; no API key).
+`filter` is required; `MEDIA_POST_SOURCE_LIKED` is the one source that returns *your own*
+posts (other source enums return a public/discover feed). Pagination is by the returned
+`nextCursor` (a millisecond timestamp). Top-level results are your liked **images**; their
+descendant videos are carried in nested `childPosts[]` (flattened to one level, each child
+carrying its own `originalPostId`).
+
+Confirmed per-post fields (verified against the reference account, not just docs):
+
+- `id`, `userId`, `createTime`, `mediaType` (`MEDIA_POST_TYPE_IMAGE|VIDEO`)
+- `prompt` / `originalPrompt`, `mediaUrl`, `hdMediaUrl`, `mimeType`, `resolution{width,height}`
+- `childPosts[]` — descendants (videos, occasionally edited images)
+- `originalPostId` — **immediate parent** (image for image→video; video for an extension)
+- `originalRefType` — absent for direct image→video; `ORIGINAL_REF_TYPE_VIDEO_EXTENSION`;
+  `ORIGINAL_REF_TYPE_IMAGE_EDIT`; `ORIGINAL_REF_TYPE_MULTI_REF_IMAGE_EDIT`
+- `mode` — the guide: `normal`, `custom`, `extremely-spicy-or-crazy`, … (the "spicy/fun" family)
+- `videoDuration`, `videoExtensionStartTime` (offset into parent for extensions)
+- `thumbnailImageUrl` (first frame), `lastFrameThumbnailImageUrl` (last frame)
+- `modelName` (`imagine_x_1`, `imagine-video-gen`, …), `moderated`, `rRated`,
+  `inputMediaItems[]` (source image refs, tokenized URLs), `isRootUserUploaded`
+
+Source-image bytes are downloadable while logged in: top-level image `mediaUrl`s are mostly
+on the public `imagine-public.x.ai` CDN (fetchable server-side, no auth); the rest are on
+`assets.grok.com/users/<uid>/<id>/content` (cookie-authenticated, no token needed).
+
+Implementation: `harvest_relay.py` + a browser-side paginating loop write `rest_posts.jsonl`;
+`build_graph.py` turns it into `archive_graph.js`. Related community references:
+`ironsniper1/Grok-Imagine-Bulk-Favorites-Downloader`, `uucz/grok-imagine-downloader`.
+
+Risks/constraints: requires an active logged-in session; subject to grok ToS and rate
+limits (bulk authenticated bursts get throttled — keep concurrency modest, e.g. ≤6, with
+retry); field names are unofficial and may drift; must run client-side in the user's
+browser, relaying to a loopback receiver, not from this repo's servers.
+
+### S2 — Poster / first-frame images (SECONDARY, available now)
+
+Every video post exposes a poster frame at `https://grok.com/imagine/post/<id>/image`
+(public; we saw `og:image` 832×1248). The first frame of an image-to-video clip is (close
+to) the **source image**. This enables perceptual matching even without the API.
+
+### S3 — Perceptual / structural heuristics (FALLBACK, available now, offline)
+
+- **image → video**: perceptual-hash (pHash/dHash) the video's first frame against archived
+  images; high similarity + video.createTime ≥ image.createTime ⇒ candidate `derivedFrom`.
+- **video → extension**: an extension's first frame ≈ parent's first frame (because output is
+  original + continuation), and the extension is longer in duration, later in time, and
+  usually shares the prompt ⇒ candidate `extends`. Duration ladders (e.g. 6s → 12s → 18s)
+  are a strong signal.
+- **prompt grouping**: normalized-prompt equality (already implemented).
+- **time + token Jaccard** scoring (already implemented in `build_archive_browser.py`).
+
+Heuristic edges must be stored with `confidence` and `evidence`, never presented as
+authoritative.
+
+### S4 — Our own ledger (`grok_ledger.jsonl`)
+
+Authoritative for media **we** generated through MultiImageClient's Grok path, with exact
+prompt/model/timestamp/local path. Useful to cross-link archive items to our own runs, but
+covers only our generations, not the full web account.
+
+## 6. Target Restructured Data Model
+
+Produce a normalized graph the visualizer can load. Proposed shape (one generated
+`archive_graph.js` / `.json`, archive-owned, not committed):
+
+```jsonc
+{
+  "generatedAt": "ISO",
+  "basePath": "<archive root>",
+  "nodes": [
+    {
+      "id": "uuid",
+      "type": "image | video | upload",
+      "createTime": "ISO",
+      "t": 0,                       // unix ms
+      "prompt": "",
+      "mode": "normal|fun|custom|spicy|null",
+      "templateType": "I2I|I2I2V|null",
+      "durationSec": 0,             // videos
+      "file": "Videos/....mp4",     // local relative, if downloaded
+      "posterFile": "Posters/....jpg",
+      "bytes": 0,
+      "status": "downloaded|missing|failed|suspect",
+      "provenance": "rest_api|export|heuristic|ledger"
+    }
+  ],
+  "edges": [
+    {
+      "from": "childId",
+      "to": "parentId",
+      "kind": "derivedFrom|extends|referenceOf|editOf",
+      "confidence": 1.0,            // 1.0 = authoritative API, <1 = heuristic
+      "evidence": ["rest:childPosts", "phash:0.94", "duration:6->12", "time", "prompt-eq"]
+    }
+  ],
+  "clusters": [
+    { "rootId": "imageUuid", "memberIds": ["..."], "kind": "image-lineage" }
+  ],
+  "stats": { "...": 0 }
+}
+```
+
+Rules:
+
+- Nodes are immutable identity by UUID; merge data from all sources, recording `provenance`.
+- Edges are additive; the same parent/child can have both an authoritative and a heuristic
+  edge — keep the highest-confidence one for default navigation, expose the rest on demand.
+- A **cluster** is a connected lineage rooted at the earliest source image (or upload).
+  Clusters drive the visualizer's "show this whole creative thread" view.
+
+## 7. Restoration Pipeline (tools)
+
+All tools live under `tools/grok-export/`, take explicit `--archive-root`, write
+archive-owned outputs, and never hardcode personal paths (per project conventions).
+
+1. **`harvest_rest_api`** (S1, primary) — a userscript/CLI that, from a logged-in grok
+   session, pages `rest/media/post/list` (and per-post detail), and writes
+   `rest_posts.jsonl` with raw `childPosts`/`originalPost`/mode/duration. This is the
+   highest-value new capability. Must be idempotent and resumable by cursor.
+2. **`fetch_posters`** (S2) — download `…/post/<id>/image` poster frames into `Posters/`
+   for every video (cheap, public, enables thumbnails + perceptual matching).
+3. **`build_graph`** (S1+S3+S4) — merge `rest_posts.jsonl` (authoritative), `manifest.jsonl`,
+   `videos.csv`, download logs, `grok_ledger.jsonl`, and heuristic matchers (pHash on
+   posters/frames, duration ladders, prompt groups) into `archive_graph.js`. Supersedes the
+   ad-hoc `sourceCandidates` logic in `build_archive_browser.py`.
+4. **(optional) `extract_frames`** — sample first/last frames of each mp4 (ffmpeg) to power
+   pHash-based `derivedFrom`/`extends` detection when the API is unavailable.
+
+Existing `extract_export.py`, `download_videos.py`, and `build_archive_browser.py` are kept;
+`build_graph` extends rather than replaces them, and should reuse their parsing helpers.
+
+## 8. Visualizer Requirements
+
+The static browser (`archive_browser.html`) should navigate the graph, not just a flat list:
+
+- **Lineage cluster view**: select any node → show its whole cluster (root image, sibling
+  image variants, the video fan-out per image, and each video's extension chain) as a
+  navigable tree/graph.
+- **Variant fan**: for a source image, show all child videos as a fan, labeled by mode/guide
+  and prompt; indicate count ("10 videos from this image").
+- **Extension timeline**: for a video, show its extension chain in order with durations
+  (e.g. 6s → 12s → 18s) and per-step prompts.
+- **Edge confidence affordance**: authoritative edges render solid; heuristic edges render
+  dashed/with a confidence badge and their `evidence`.
+- **Local-first media**: play `Videos/<file>.mp4` and show `Posters/...`; remote URLs and
+  grok links are metadata only. Keep current behavior: hide suspect videos from normal
+  browsing, one active `<video>`, remember volume/mute/speed in `localStorage`, hash URLs
+  identify the selected local item.
+- **Provenance filter**: filter by `provenance` (api / export / heuristic / ledger) and by
+  `status` (downloaded / missing / failed / suspect).
+- Follow the repo Visual & Typography policy (never gray text; size/semantic color for hierarchy).
+
+## 9. Data Integrity & Personal-Data Policy
+
+- Never resize/re-encode downloaded bytes; posters and extracted frames are new derived
+  files, never overwrites.
+- Treat `rest_posts.jsonl`, `archive_graph.js`, posters, frames, and all media as archive
+  user data — keep outside git (extend `.gitignore`; these may contain personal NSFW prompts/IDs).
+- Restoration must be **idempotent and auditable**: log run starts/completions and per-item
+  decisions, mirroring the existing download event log.
+- A video is only "acquired" when a non-empty local mp4 exists; keep the suspect-video rule
+  (post id ≠ resolved mp4 id) and exclude suspects from default navigation.
+
+## 10. Open Questions / Risks
+
+- Does grok's `rest/media/post/list` expose a stable per-post **parent/source UUID** and
+  **mode/duration** directly, or only via nested `childPosts`/`originalPost`? Needs a live
+  authenticated probe to lock the exact schema before building `build_graph`'s authoritative path.
+- Is there a per-post detail endpoint (e.g. `rest/media/post/<id>`) with richer lineage than
+  the list endpoint?
+- Rate limits / ToS for bulk REST harvesting of one's own account; run gently, resumable.
+- For the portion of the archive where the account/API no longer returns a post (deleted,
+  expired), heuristics (S2/S3) are the only option — acceptable with confidence labeling.
+- Confirm extension semantics in practice: if Grok stores each extension as a **new full
+  stitched mp4**, near-duplicate detection (size/first-frame) is needed to avoid double-counting.
+
+## 11. Status & Remaining Follow-ups
+
+Done: schema confirmed and frozen; full LIKED harvest (`rest_posts.jsonl`); normalized
+`archive_graph.js`; first-frame posters; full source-image backfill (`ApiImages/`); and a
+working 3-pane lineage visualizer (`archive_graph.html`) verified against the reference
+instance.
+
+Remaining / nice-to-have:
+
+- **Coverage beyond "liked":** only `MEDIA_POST_SOURCE_LIKED` returns our own posts via this
+  endpoint, so ~1,887 locally-downloaded videos that were never liked appear as orphan
+  single-node clusters (no authoritative parent). Options: like-all then re-harvest, find a
+  separate "my generations" endpoint, or fall back to the S3 perceptual heuristics for orphans.
+- **HD media:** `hdMediaUrl` is recorded but we still play the public-share mp4s we already
+  downloaded; optionally re-pull HD for favorites.
+- **Last-frame chaining UI:** `lastFrameThumbnailImageUrl` is captured but not yet surfaced in
+  the extension timeline.
+- **Incremental re-harvest:** make the browser loop resumable by `nextCursor` and only fetch
+  new posts since the last run.
diff --git a/tools/grok-export/README.md b/tools/grok-export/README.md
index 64adee0..1ec381c 100644
--- a/tools/grok-export/README.md
+++ b/tools/grok-export/README.md
@@ -44,6 +44,74 @@ The downloader reads `<ArchiveRoot>\videos.csv`, writes mp4 files under `<Archiv
 
 Use lower worker counts for retries or flaky network behavior.
 
+## Reconstruct the Relationship Graph (authoritative)
+
+The flat export does not contain lineage (which video came from which image, which
+video extends which). That lineage only exists in grok.com's logged-in internal REST
+API. The following pipeline recovers it and renders a navigable local UI. See
+`docs/grok-archive-restructure-prd.md` for the full design and confirmed schema.
+
+### 1. Harvest the REST graph from a logged-in browser
+
+The authoritative endpoint is `POST https://grok.com/rest/media/post/list` with body
+`{ "limit": 100, "filter": { "source": "MEDIA_POST_SOURCE_LIKED" }, "cursor": <ms> }`.
+It returns your own posts (images) with nested `childPosts` (videos), each carrying the
+real lineage fields:
+
+- `originalPostId` — the immediate parent (image for image→video, video for an extension)
+- `originalRefType` — `(absent)` direct image→video, `ORIGINAL_REF_TYPE_VIDEO_EXTENSION`,
+  `ORIGINAL_REF_TYPE_IMAGE_EDIT`, `ORIGINAL_REF_TYPE_MULTI_REF_IMAGE_EDIT`
+- `mode` — the guide (`normal`, `custom`, `extremely-spicy-or-crazy`, …)
+- `videoDuration`, `videoExtensionStartTime`, `thumbnailImageUrl`,
+  `lastFrameThumbnailImageUrl`, `mediaUrl`/`hdMediaUrl`, `resolution`, `modelName`
+
+Because this needs your session cookies, harvest from inside the logged-in browser and
+relay the bytes to a tiny local receiver:
+
+```powershell
+python tools/grok-export/harvest_relay.py --archive-root "C:\Path\To\WebExport" --port 8777
+```
+
+Then, in a logged-in grok.com browser devtools console, page the API and POST each page
+to `http://127.0.0.1:8777/append` (loopback is a trustworthy origin, so https→localhost
+is allowed; the relay sends permissive CORS). The relay writes `rest_posts.jsonl`. The
+same relay also accepts source-image bytes at `POST /media?id=<uuid>&ext=<ext>` and serves
+a fetch worklist at `GET /needlist` (reads `_need_images.json`).
+
+### 2. Build the normalized graph
+
+```powershell
+python tools/grok-export/build_graph.py --archive-root "C:\Path\To\WebExport"
+```
+
+Merges `rest_posts.jsonl` (authoritative lineage) with `video_downloads.jsonl`,
+`manifest.jsonl`, and `ApiImages/` into `archive_graph.js` (`window.GROK_GRAPH`): nodes
+(images/videos with mode, duration, refType, local file, provenance), typed edges
+(`derivedFrom`, `extends`, `editOf`; confidence 1.0 = authoritative), and lineage clusters.
+
+### 3. Generate poster thumbnails
+
+```powershell
+python tools/grok-export/make_posters.py --archive-root "C:\Path\To\WebExport" --workers 12
+```
+
+Extracts a first-frame `Posters/<post_id>.jpg` for every downloaded mp4 (needs `ffmpeg`).
+
+### 4. Open the viewer
+
+Copy `tools/grok-export/archive_graph.html` into the archive root (next to
+`archive_graph.js`) and open it. This is now the main viewing surface for the archive:
+search/filter lineages or switch to **By day** on the left; the selected lineage's source
+image, readable video-variant fan, extension chains, prompt phrase links, and custom video
+player are in the center; per-node details and "Copy full prompt" live on the right. Media
+loads locally (`Videos/…mp4`, `Posters/…jpg`, `Images/…`, `ApiImages/…`). Opening via
+`file://` works in a normal browser; for smoother video seeking serve the folder over http
+(`python -m http.server --directory <archive root>`). For existing archives, make
+`archive_browser.html` redirect to `archive_graph.html` so the lineage browser is the
+default entry point.
+
 ## Personal Data Policy
 
-Do not commit outputs from these tools unless they are small, sanitized fixtures intentionally created for tests.
+Do not commit outputs from these tools unless they are small, sanitized fixtures
+intentionally created for tests. `rest_posts.jsonl`, `archive_graph.js`, `Posters/`,
+`ApiImages/`, and all media are archive/user data — keep them outside the repo.
diff --git a/tools/grok-export/archive_graph.html b/tools/grok-export/archive_graph.html
new file mode 100644
index 0000000..9af5051
--- /dev/null
+++ b/tools/grok-export/archive_graph.html
@@ -0,0 +1,691 @@
+<!doctype html>
+<html lang="en">
+<head>
+<meta charset="utf-8">
+<meta name="viewport" content="width=device-width, initial-scale=1">
+<title>Grok Imagine — Lineage Browser</title>
+<style>
+  :root{
+    color-scheme: dark;
+    --bg:#070a10; --panel:#0f1622; --panel2:#16203040; --card:#131d2c;
+    --text:#eef5ff; --soft:#bcd6ff; --line:#2a3f5f;
+    --blue:#5cb6ff; --gold:#ffd166; --green:#73f0a8; --pink:#ff8fb4; --violet:#c39bff;
+  }
+  *{box-sizing:border-box}
+  html,body{height:100%}
+  body{margin:0;background:radial-gradient(1200px 600px at 25% -10%,#1d314d,#070a10 55%),var(--bg);
+    color:var(--text);font:13.5px/1.45 "Segoe UI",system-ui,sans-serif;overflow:hidden}
+  button,input,select{font:inherit;color:var(--text);background:#16223380;border:1px solid var(--line);border-radius:9px}
+  button{cursor:pointer;padding:6px 10px}
+  button:hover{border-color:var(--blue)}
+  button.on{border-color:var(--blue);background:#1d3450}
+  input,select{padding:7px 9px}
+  .app{display:grid;grid-template-columns:390px minmax(580px,1fr) 410px;grid-template-rows:100vh;gap:10px;padding:10px}
+  .pane{background:var(--panel);border:1px solid var(--line);border-radius:16px;overflow:hidden;display:flex;flex-direction:column;min-height:0}
+  .pad{padding:12px}
+  h1{font-size:15px;margin:0 0 2px}
+  .muted{color:var(--soft)}
+  .stats{display:flex;flex-wrap:wrap;gap:6px;margin-top:8px}
+  .pill{font-size:11px;padding:3px 8px;border:1px solid var(--line);border-radius:999px;background:#16223380;color:var(--soft);white-space:nowrap}
+  .pill b{color:var(--text)}
+  .controls{display:flex;flex-direction:column;gap:8px;padding:0 12px 10px}
+  .tabs{display:grid;grid-template-columns:1fr 1fr;gap:6px}
+  .tabs button{font-weight:600}
+  .row{display:flex;gap:6px;flex-wrap:wrap}
+  .row>*{flex:0 0 auto}
+  .grow{flex:1 1 auto;min-width:0}
+  .chips{display:flex;gap:5px;flex-wrap:wrap}
+  .chip{font-size:11px;padding:4px 9px}
+  .list{overflow:auto;flex:1 1 auto;min-height:0;padding:6px 8px}
+  .crow{display:grid;grid-template-columns:84px 1fr;gap:10px;padding:7px;border:1px solid transparent;border-radius:12px;cursor:pointer;align-items:center}
+  .dayrow{display:grid;grid-template-columns:1fr auto;gap:8px;padding:11px;border:1px solid transparent;border-radius:12px;cursor:pointer;align-items:center}
+  .dayrow:hover,.dayrow.sel{background:#16223360;border-color:var(--blue)}
+  .crow:hover{background:#16223360;border-color:var(--line)}
+  .crow.sel{background:#1b2c45;border-color:var(--blue)}
+  .thumb{width:84px;height:84px;border-radius:9px;object-fit:cover;background:#0c1422;border:1px solid var(--line);display:block}
+  .thumbwrap{position:relative;width:84px;height:84px}
+  .vbadge{position:absolute;right:3px;bottom:3px;font-size:10px;padding:1px 6px;border-radius:999px;background:#06101fcc;border:1px solid var(--line);color:var(--gold)}
+  .ctitle{font-size:12.5px;max-height:72px;overflow:auto}
+  .cmeta{display:flex;gap:5px;flex-wrap:wrap;margin-top:5px}
+  .tag{font-size:10px;padding:2px 7px;border-radius:999px;border:1px solid var(--line)}
+  .tag.mode{color:var(--violet)} .tag.ext{color:var(--gold)} .tag.up{color:var(--green)} .tag.cnt{color:var(--blue)}
+  /* center */
+  .center{display:flex;flex-direction:column;position:relative}
+  .player{display:flex;align-items:center;justify-content:center;background:#050a12;border-bottom:1px solid var(--line);position:relative;height:48vh;min-height:300px;max-height:620px;overflow:hidden}
+  .player video,.player img{display:block;background:#050a12}
+  .player>img{width:100%;height:100%;object-fit:contain}
+  .playerShell{width:100%;height:100%;min-height:0;display:flex;align-items:center;justify-content:center;position:relative;background:#050a12;overflow:hidden}
+  .playerShell video{width:100%;height:100%;object-fit:contain}
+  .playerControls{position:absolute;left:14px;right:14px;bottom:12px;display:grid;grid-template-columns:auto 1fr auto auto auto;gap:10px;align-items:center;padding:8px 10px;border:1px solid var(--line);border-radius:12px;background:#06101fd9;backdrop-filter:blur(8px)}
+  .playerControls input[type=range]{width:100%;padding:0}
+  .volWrap{display:flex;align-items:center;gap:6px}
+  .volWrap input{width:86px}
+  .time{font-size:11px;color:var(--soft);min-width:86px;text-align:center}
+  .pinfo{padding:10px 14px;border-bottom:1px solid var(--line)}
+  .pprompt{font-size:13px;max-height:130px;overflow:auto}
+  .promptTools{display:flex;gap:6px;flex-wrap:wrap;margin-top:8px}
+  .sourcePromptBox{margin-top:9px;padding-top:8px;border-top:1px solid var(--line)}
+  .sourcePromptLabel{display:flex;align-items:center;justify-content:space-between;gap:8px;font-size:10px;letter-spacing:.08em;text-transform:uppercase;color:var(--blue);margin-bottom:4px}
+  .sourcePromptText{font-size:12px;max-height:90px;overflow:auto;color:var(--soft);white-space:pre-wrap}
+  .lineage{overflow:auto;flex:1 1 auto;min-height:0;padding:14px}
+  .src{display:flex;gap:14px;align-items:flex-start;margin-bottom:14px}
+  .srcimg{width:160px;height:160px;border-radius:12px;object-fit:cover;border:1px solid var(--line);background:#0c1422;flex:0 0 auto}
+  .sectlabel{font-size:11px;letter-spacing:.08em;text-transform:uppercase;color:var(--blue);margin:6px 0 10px}
+  .fan{display:grid;grid-template-columns:repeat(auto-fill,minmax(260px,1fr));gap:14px;align-items:start}
+  .variantGroup{border:1px solid var(--line);border-radius:14px;background:#0d1524;padding:8px}
+  .vcard{border:1px solid var(--line);border-radius:12px;overflow:hidden;background:var(--card);cursor:pointer}
+  .vcard.sel{border-color:var(--blue);box-shadow:0 0 0 1px var(--blue)}
+  .vcard .vt{position:relative;aspect-ratio:16/10;background:#0c1422}
+  .vcard .vt img{width:100%;height:100%;object-fit:contain;display:block;background:#0c1422}
+  .vcard .cap{padding:7px 8px}
+  .vcard .cap .p{font-size:11px;color:var(--soft);white-space:pre-wrap}
+  .vcard .cap .m{display:flex;gap:5px;flex-wrap:wrap;margin-top:5px}
+  .play{position:absolute;inset:0;display:flex;align-items:center;justify-content:center;font-size:30px;color:#fff;opacity:.85;text-shadow:0 1px 6px #000;pointer-events:none}
+  .chain{margin-top:8px;padding-top:8px;border-top:1px solid var(--gold);display:grid;gap:8px}
+  .chain .vcard .vt{aspect-ratio:16/8}
+  .extlabel{font-size:10px;color:var(--gold);margin:2px 0}
+  /* right */
+  .detail{overflow:auto;flex:1 1 auto;min-height:0;padding:14px}
+  .kv{display:grid;grid-template-columns:92px 1fr;gap:6px 10px;font-size:12px;margin-top:10px}
+  .kv .k{color:var(--blue)}
+  .kv .v{word-break:break-word}
+  .dbtns{display:flex;gap:6px;flex-wrap:wrap;margin-top:12px}
+  .iconBtn{width:28px;height:28px;padding:0;display:inline-flex;align-items:center;justify-content:center;border-radius:6px}
+  .promptHead{display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:4px}
+  .promptTitle{font-size:10px;letter-spacing:.08em;text-transform:uppercase;color:var(--blue)}
+  .detailNav{display:grid;grid-template-columns:1fr 1fr;gap:8px;margin:0 0 12px}
+  .detailNav button{display:grid;grid-template-columns:48px 1fr;gap:8px;text-align:left;align-items:center;padding:6px}
+  .detailNav img{width:48px;height:48px;object-fit:cover;border-radius:7px;background:#0c1422}
+  .detailNav span{font-size:11px;color:var(--soft)}
+  .phrasebox{display:flex;gap:5px;flex-wrap:wrap;margin-top:10px}
+  .phrase,.promptLink{color:var(--gold);cursor:pointer;text-decoration:none;border-bottom:1px solid #ffd16680}
+  .phrase{font-size:11px;padding:3px 7px;border:1px solid var(--line);border-radius:999px;background:#16223380}
+  .dayHeader{display:flex;justify-content:space-between;gap:10px;align-items:center;margin-bottom:12px}
+  .dayGrid{display:grid;grid-template-columns:repeat(auto-fill,minmax(220px,1fr));gap:12px}
+  .neighborRail{position:absolute;right:8px;top:72px;bottom:72px;width:74px;display:flex;flex-direction:column;justify-content:space-between;pointer-events:none;z-index:4}
+  .neighbor{pointer-events:auto;border:1px solid var(--line);border-radius:12px;background:#06101fd9;padding:5px;text-align:center;cursor:pointer}
+  .neighbor:hover{border-color:var(--blue)}
+  .neighbor img{width:58px;height:58px;object-fit:cover;border-radius:8px;display:block;margin:3px auto}
+  .neighbor span{display:block;font-size:10px;color:var(--soft)}
+  a{color:var(--blue)}
+  .empty{padding:40px 16px;text-align:center;color:var(--soft)}
+  .nowrap{white-space:nowrap;overflow:hidden;text-overflow:ellipsis}
+  ::-webkit-scrollbar{width:10px;height:10px}
+  ::-webkit-scrollbar-thumb{background:#23344f;border-radius:8px}
+</style>
+</head>
+<body>
+<div class="app">
+  <!-- LEFT -->
+  <section class="pane left">
+    <div class="pad">
+      <h1>Grok Imagine — Lineage Browser</h1>
+      <div class="muted" id="sub">loading…</div>
+      <div class="stats" id="stats"></div>
+    </div>
+    <div class="controls">
+      <div class="tabs">
+        <button id="tabLineages" class="on">Lineages</button>
+        <button id="tabDays">By day</button>
+      </div>
+      <div class="row">
+        <input class="grow" id="q" placeholder="search prompts across lineages…">
+      </div>
+      <div class="row">
+        <select id="sort">
+          <option value="size">Most videos</option>
+          <option value="recent">Most recent</option>
+          <option value="ext">Has extensions</option>
+        </select>
+        <button class="chip" id="fdl">Downloaded only</button>
+        <button class="chip" id="fext">Extensions</button>
+      </div>
+      <div class="chips" id="modechips"></div>
+    </div>
+    <div class="list" id="clist"></div>
+  </section>
+
+  <!-- CENTER -->
+  <section class="pane center">
+    <div class="player" id="player"><div class="empty">Select a lineage on the left</div></div>
+    <div class="pinfo" id="pinfo" style="display:none">
+      <div class="pprompt" id="pprompt"></div>
+      <div class="promptTools" id="promptTools"></div>
+    </div>
+    <div class="lineage" id="lineage"><div class="empty">Each lineage starts from one source image and fans out into its video variants and extensions.</div></div>
+    <div class="neighborRail" id="neighborRail"></div>
+  </section>
+
+  <!-- RIGHT -->
+  <section class="pane right">
+    <div class="pad" style="border-bottom:1px solid var(--line)"><b>Details</b></div>
+    <div class="detail" id="detail"><div class="empty">No item selected</div></div>
+  </section>
+</div>
+
+<script src="archive_graph.js"></script>
+<script>
+const G = window.GROK_GRAPH;
+const byId = new Map();
+const childrenOf = new Map();
+G.nodes.forEach(n=>byId.set(n.id,n));
+G.nodes.forEach(n=>{ if(n.parentId && byId.has(n.parentId)){ (childrenOf.get(n.parentId)||childrenOf.set(n.parentId,[]).get(n.parentId)).push(n.id); }});
+const clusterByRoot = new Map(G.clusters.map(c=>[c.rootId,c]));
+const imageLineages = G.clusters
+  .filter(c=>c.videoCount>0 && byId.get(c.rootId)?.type==='image')
+  .sort((a,b)=>(a.t-b.t) || a.rootId.localeCompare(b.rootId));
+
+const $ = s=>document.querySelector(s);
+const el = (t,c,txt)=>{const e=document.createElement(t); if(c)e.className=c; if(txt!=null)e.textContent=txt; return e;};
+const stopWords = new Set('about above after again against all also and are because been before being between both but can could does doing down during each even every few for from further had has have her here hers herself him himself his how into its itself just more most much off once only other our ours out over own same she should some such than that the their theirs them themselves then there these they this those through under until very was were what when where which while who whom why with would you your yours'.split(' '));
+const phraseCounts = new Map();
+const phraseSet = new Set();
+const promptNodes = G.nodes.filter(n=>n.prompt && n.prompt.length>8);
+promptNodes.forEach(n=>{
+  const toks=(n.prompt.toLowerCase().match(/[a-z0-9']+/g)||[]).filter(t=>t.length>2&&!stopWords.has(t));
+  const seen=new Set();
+  for(let len=2; len<=5; len++){
+    for(let i=0;i<=toks.length-len;i++){
+      const p=toks.slice(i,i+len).join(' ');
+      if(p.length>=11) seen.add(p);
+    }
+  }
+  seen.forEach(p=>phraseCounts.set(p,(phraseCounts.get(p)||0)+1));
+});
+[...phraseCounts.entries()]
+  .filter(([p,c])=>c>=3)
+  .sort((a,b)=>b[1]-a[1] || b[0].length-a[0].length)
+  .slice(0,1200)
+  .forEach(([p])=>phraseSet.add(p));
+
+function setSearch(text){
+  state.q = text;
+  $('#q').value = text;
+  state.view = 'lineages';
+  syncTabs();
+  renderList();
+}
+function renderLinkedText(text){
+  const frag=document.createDocumentFragment();
+  if(!text){ frag.appendChild(document.createTextNode('(no prompt)')); return frag; }
+  let pos=0, lower=text.toLowerCase();
+  while(pos<text.length){
+    let best=null, bestIdx=-1;
+    for(const p of phraseSet){
+      const idx=lower.indexOf(p,pos);
+      if(idx>=0 && (bestIdx<0 || idx<bestIdx || (idx===bestIdx && p.length>best.length))){
+        best=p; bestIdx=idx;
+      }
+    }
+    if(!best){ frag.appendChild(document.createTextNode(text.slice(pos))); break; }
+    if(bestIdx>pos) frag.appendChild(document.createTextNode(text.slice(pos,bestIdx)));
+    const a=el('a','promptLink',text.slice(bestIdx,bestIdx+best.length));
+    a.href='#'; a.onclick=e=>{e.preventDefault(); setSearch(best);};
+    frag.appendChild(a);
+    pos=bestIdx+best.length;
+  }
+  return frag;
+}
+function topPhrasesFor(text, limit=10){
+  const lower=(text||'').toLowerCase();
+  return [...phraseSet].filter(p=>lower.includes(p)).sort((a,b)=>(phraseCounts.get(b)-phraseCounts.get(a)) || b.length-a.length).slice(0,limit);
+}
+async function copyText(text, btn){
+  try{ await navigator.clipboard.writeText(text||''); if(btn){ const old=btn.textContent; btn.textContent='✓'; setTimeout(()=>btn.textContent=old,900); } }
+  catch{ if(btn) btn.textContent='Copy failed'; }
+}
+
+function posterFor(n){
+  if(n.type==='video') return 'Posters/'+n.id+'.jpg';
+  if(n.file) return n.file;
+  // image without local file: prefer a downloaded child video's poster (loads offline)
+  const kids=childrenOf.get(n.id)||[];
+  for(const k of kids){ const c=byId.get(k); if(c.type==='video' && c.status==='downloaded') return 'Posters/'+k+'.jpg'; }
+  for(const k of kids){ if(byId.get(k).type==='video') return 'Posters/'+k+'.jpg'; }
+  return n.remoteMediaUrl || '';
+}
+function clusterRep(c){
+  const root=byId.get(c.rootId);
+  const p=posterFor(root);
+  if(p) return p;
+  for(const m of c.memberIds){ const n=byId.get(m); if(n.type==='video') return 'Posters/'+n.id+'.jpg'; }
+  return '';
+}
+function clusterTitle(c){
+  const root=byId.get(c.rootId);
+  if(root.prompt) return root.prompt;
+  for(const m of c.memberIds){ const n=byId.get(m); if(n.prompt) return n.prompt; }
+  return '(no prompt)';
+}
+function fmtDur(n){ return n.durationSec? n.durationSec+'s':''; }
+function modeColorTag(mode){ if(!mode) return null; const t=el('span','tag mode',mode.replace('extremely-spicy-or-crazy','spicy+')); return t; }
+
+// ---------- left list ----------
+let state={ view:'lineages', q:'', sort:'size', dlOnly:false, extOnly:false, modes:new Set() };
+const allModes=[...new Set(G.nodes.map(n=>n.mode).filter(Boolean))].sort();
+const modechips=$('#modechips');
+allModes.forEach(m=>{ const b=el('button','chip', m.replace('extremely-spicy-or-crazy','spicy+')); b.onclick=()=>{ b.classList.toggle('on'); if(state.modes.has(m))state.modes.delete(m); else state.modes.add(m); renderList(); }; modechips.appendChild(b); });
+const dayGroups = buildDayGroups();
+
+function syncTabs(){
+  $('#tabLineages').classList.toggle('on',state.view==='lineages');
+  $('#tabDays').classList.toggle('on',state.view==='days');
+}
+$('#tabLineages').onclick=()=>{ state.view='lineages'; syncTabs(); renderList(); };
+$('#tabDays').onclick=()=>{ state.view='days'; syncTabs(); renderList(); };
+
+function buildDayGroups(){
+  const map=new Map();
+  for(const c of G.clusters){
+    const root=byId.get(c.rootId);
+    const t=root?.t || c.t || 0;
+    const day=t?new Date(t).toISOString().slice(0,10):'unknown';
+    if(!map.has(day)) map.set(day,{day,t,clusters:[],videos:0,extensions:0,images:0});
+    const g=map.get(day);
+    g.clusters.push(c); g.videos+=c.videoCount; g.extensions+=extCount(c); if(root?.type==='image') g.images++;
+  }
+  return [...map.values()].sort((a,b)=>b.t-a.t);
+}
+
+function clusterMatches(c){
+  if(c.size<1) return false;
+  if(state.dlOnly){ const anyDl=c.memberIds.some(m=>byId.get(m).status==='downloaded'); if(!anyDl) return false; }
+  if(state.extOnly){ const anyExt=c.memberIds.some(m=>byId.get(m).refType==='ORIGINAL_REF_TYPE_VIDEO_EXTENSION'); if(!anyExt) return false; }
+  if(state.modes.size){ const ok=c.memberIds.some(m=>state.modes.has(byId.get(m).mode)); if(!ok) return false; }
+  if(state.q){ const q=state.q.toLowerCase(); const ok=c.memberIds.some(m=>(byId.get(m).prompt||'').toLowerCase().includes(q)); if(!ok) return false; }
+  return true;
+}
+let filtered=[], renderedN=0;
+const clist=$('#clist');
+function computeFiltered(){
+  filtered=G.clusters.filter(clusterMatches);
+  if(state.sort==='recent') filtered.sort((a,b)=>b.t-a.t);
+  else if(state.sort==='ext') filtered.sort((a,b)=> extCount(b)-extCount(a) || b.size-a.size);
+  else filtered.sort((a,b)=> b.videoCount-a.videoCount || b.size-a.size);
+}
+function extCount(c){ return c.memberIds.reduce((s,m)=>s+(byId.get(m).refType==='ORIGINAL_REF_TYPE_VIDEO_EXTENSION'?1:0),0); }
+function renderList(){
+  computeFiltered();
+  clist.innerHTML=''; renderedN=0;
+  if(state.view==='days'){
+    renderDayRows();
+  } else {
+    $('#sub').textContent = filtered.length.toLocaleString()+' lineages match';
+    appendRows();
+  }
+}
+function appendRows(){
+  const slice=filtered.slice(renderedN, renderedN+60);
+  slice.forEach(c=>{
+    const row=el('div','crow'); row.dataset.root=c.rootId;
+    const tw=el('div','thumbwrap');
+    const img=el('img','thumb'); img.loading='lazy'; img.src=clusterRep(c); img.onerror=()=>{img.style.visibility='hidden';};
+    tw.appendChild(img);
+    if(c.videoCount){ const b=el('div','vbadge','▶ '+c.videoCount); tw.appendChild(b); }
+    const right=el('div');
+    const title=el('div','ctitle', clusterTitle(c));
+    const meta=el('div','cmeta');
+    meta.appendChild(el('span','tag cnt', c.size+' items'));
+    const ec=extCount(c); if(ec) meta.appendChild(el('span','tag ext','⛓ '+ec+' ext'));
+    if(byId.get(c.rootId).rootUpload) meta.appendChild(el('span','tag up','upload'));
+    right.appendChild(title); right.appendChild(meta);
+    row.appendChild(tw); row.appendChild(right);
+    row.onclick=()=>selectCluster(c.rootId, row);
+    clist.appendChild(row);
+  });
+  renderedN+=slice.length;
+}
+function renderDayRows(){
+  const q=state.q.toLowerCase();
+  const rows=dayGroups.filter(g=>{
+    if(!q) return true;
+    return g.day.includes(q) || g.clusters.some(c=>c.memberIds.some(m=>(byId.get(m).prompt||'').toLowerCase().includes(q)));
+  });
+  $('#sub').textContent = rows.length.toLocaleString()+' days match';
+  rows.forEach(g=>{
+    const row=el('div','dayrow'); row.dataset.day=g.day;
+    const left=el('div');
+    left.appendChild(el('div','ctitle',new Date(g.day+'T12:00:00').toLocaleDateString(undefined,{weekday:'long',year:'numeric',month:'short',day:'numeric'})));
+    const meta=el('div','cmeta');
+    meta.appendChild(el('span','tag cnt',g.clusters.length+' lineages'));
+    meta.appendChild(el('span','tag',g.videos+' videos'));
+    if(g.extensions) meta.appendChild(el('span','tag ext','⛓ '+g.extensions+' ext'));
+    left.appendChild(meta);
+    row.appendChild(left);
+    row.appendChild(el('span','tag',g.images+' source images'));
+    row.onclick=()=>selectDay(g,row);
+    clist.appendChild(row);
+  });
+}
+clist.addEventListener('scroll',()=>{ if(state.view==='lineages' && clist.scrollTop+clist.clientHeight > clist.scrollHeight-400 && renderedN<filtered.length) appendRows(); });
+
+let qTimer; $('#q').addEventListener('input',e=>{ clearTimeout(qTimer); qTimer=setTimeout(()=>{ state.q=e.target.value.trim(); renderList(); },180); });
+$('#sort').addEventListener('change',e=>{ state.sort=e.target.value; renderList(); });
+$('#fdl').onclick=function(){ this.classList.toggle('on'); state.dlOnly=!state.dlOnly; renderList(); };
+$('#fext').onclick=function(){ this.classList.toggle('on'); state.extOnly=!state.extOnly; renderList(); };
+
+// ---------- center: cluster lineage ----------
+let curCluster=null;
+function selectDay(day,row){
+  document.querySelectorAll('.dayrow.sel').forEach(r=>r.classList.remove('sel'));
+  if(row) row.classList.add('sel');
+  const lin=$('#lineage'); lin.innerHTML='';
+  const group=dayGroups.find(g=>g.day===day);
+  if(!group) return;
+  player.innerHTML='<div class="empty">Select a source image or video from this day</div>';
+  $('#pinfo').style.display='none';
+  $('#detail').innerHTML='<div class="empty">Day view selected</div>';
+  $('#neighborRail').innerHTML='';
+  const head=el('div','dayHeader');
+  head.appendChild(el('div','sectlabel',new Date(day+'T12:00:00').toLocaleDateString(undefined,{weekday:'long',year:'numeric',month:'long',day:'numeric'})));
+  head.appendChild(el('div','muted',group.clusters.length+' lineages · '+group.videos+' videos'));
+  lin.appendChild(head);
+  const grid=el('div','dayGrid');
+  group.clusters.sort((a,b)=>b.videoCount-a.videoCount || b.t-a.t).forEach(c=>{
+    const card=el('div','vcard');
+    const vt=el('div','vt'); const img=el('img'); img.loading='lazy'; img.src=clusterRep(c); img.onerror=()=>img.style.visibility='hidden';
+    vt.appendChild(img);
+    const cap=el('div','cap');
+    cap.appendChild(el('div','p',clusterTitle(c)));
+    const m=el('div','m');
+    m.appendChild(el('span','tag cnt',c.videoCount+' videos'));
+    const ec=extCount(c); if(ec)m.appendChild(el('span','tag ext','⛓ '+ec+' ext'));
+    cap.appendChild(m);
+    card.appendChild(vt); card.appendChild(cap);
+    card.onclick=()=>{ state.view='lineages'; syncTabs(); renderList(); selectCluster(c.rootId); };
+    grid.appendChild(card);
+  });
+  lin.appendChild(grid);
+}
+function selectCluster(rootId,row){
+  document.querySelectorAll('.crow.sel').forEach(r=>r.classList.remove('sel'));
+  if(row) row.classList.add('sel');
+  curCluster=rootId;
+  const root=byId.get(rootId);
+  const lin=$('#lineage'); lin.innerHTML='';
+  $('#neighborRail').innerHTML='';
+  // source header
+  const src=el('div','src');
+  const simg=el('img','srcimg'); simg.loading='lazy'; simg.src=posterFor(root); simg.onerror=()=>simg.style.visibility='hidden';
+  simg.onclick=()=>showNode(root);
+  const sinfo=el('div','grow');
+  sinfo.appendChild(el('div','sectlabel', root.type==='image'?'Source image':'Source'));
+  const sp=el('div','');
+  sp.appendChild(renderLinkedText(root.prompt||'(no prompt)'));
+  sinfo.appendChild(sp);
+  const sm=el('div','cmeta');
+  if(root.rootUpload) sm.appendChild(el('span','tag up','user upload'));
+  if(root.w) sm.appendChild(el('span','tag', root.w+'×'+root.h));
+  sm.appendChild(el('span','tag cnt', new Date(root.t).toLocaleString()));
+  sinfo.appendChild(sm);
+  src.appendChild(simg); src.appendChild(sinfo);
+  lin.appendChild(src);
+
+  // direct video children of the root, each with its extension chain
+  const directVids=(childrenOf.get(rootId)||[]).map(id=>byId.get(id)).filter(n=>n.type==='video');
+  const otherImgs=(childrenOf.get(rootId)||[]).map(id=>byId.get(id)).filter(n=>n.type==='image');
+  directVids.sort((a,b)=>a.t-b.t);
+
+  lin.appendChild(el('div','sectlabel', directVids.length+' video variant'+(directVids.length===1?'':'s')+' from this image'));
+  const fan=el('div','fan');
+  directVids.forEach(v=> fan.appendChild(videoCardWithChain(v)) );
+  lin.appendChild(fan);
+
+  if(otherImgs.length){
+    lin.appendChild(el('div','sectlabel', otherImgs.length+' edited image'+(otherImgs.length===1?'':'s')));
+    const ifan=el('div','fan');
+    otherImgs.forEach(im=>ifan.appendChild(imageCard(im)));
+    lin.appendChild(ifan);
+  }
+
+  // auto-show first video (or the source)
+  if(directVids.length) showNode(directVids[0]); else showNode(root);
+}
+
+function videoCardWithChain(v){
+  const wrap=el('div','variantGroup');
+  wrap.appendChild(videoCard(v));
+  const exts=(childrenOf.get(v.id)||[]).map(id=>byId.get(id)).filter(n=>n.type==='video');
+  if(exts.length){
+    exts.sort((a,b)=>a.t-b.t);
+    const chain=el('div','chain');
+    chain.appendChild(el('div','extlabel','⛓ '+exts.length+' extension'+(exts.length===1?'':'s')));
+    exts.forEach(e=>chain.appendChild(videoCardWithChain(e)));
+    wrap.appendChild(chain);
+  }
+  return wrap;
+}
+function renderNeighborRail(rootId){
+  const rail=$('#neighborRail'); rail.innerHTML='';
+  return;
+  const idx=imageLineages.findIndex(c=>c.rootId===rootId);
+  if(idx<0) return;
+  const add=(label,c)=>{
+    if(!c) return;
+    const n=el('div','neighbor');
+    n.appendChild(el('span','',label));
+    const img=el('img'); img.loading='lazy'; img.src=clusterRep(c); img.onerror=()=>img.style.visibility='hidden';
+    n.appendChild(img);
+    n.appendChild(el('span','',c.videoCount+' videos'));
+    n.onclick=()=>selectCluster(c.rootId);
+    rail.appendChild(n);
+  };
+  add('Prev image', imageLineages[idx-1]);
+  add('Next image', imageLineages[idx+1]);
+}
+function videoCard(v){
+  const card=el('div','vcard'); card.dataset.id=v.id;
+  const vt=el('div','vt');
+  const img=el('img'); img.loading='lazy'; img.src='Posters/'+v.id+'.jpg'; img.onerror=()=>{img.style.visibility='hidden';};
+  vt.appendChild(img); vt.appendChild(el('div','play','▶'));
+  const cap=el('div','cap');
+  const p=el('div','p');
+  p.appendChild(renderLinkedText(v.prompt|| (v.refType==='ORIGINAL_REF_TYPE_VIDEO_EXTENSION'?'(extension)':'(no prompt — guide only)')));
+  cap.appendChild(p);
+  const m=el('div','m');
+  const mt=modeColorTag(v.mode); if(mt)m.appendChild(mt);
+  if(v.durationSec) m.appendChild(el('span','tag', fmtDur(v)));
+  if(v.refType==='ORIGINAL_REF_TYPE_VIDEO_EXTENSION') m.appendChild(el('span','tag ext','ext @'+(v.extStartSec||0)+'s'));
+  if(v.status!=='downloaded') m.appendChild(el('span','tag','remote'));
+  if(v.prompt){ const cp=el('button','iconBtn','⧉'); cp.title='Copy this prompt'; cp.onclick=e=>{e.stopPropagation(); copyText(v.prompt,cp);}; m.appendChild(cp); }
+  cap.appendChild(m);
+  card.appendChild(vt); card.appendChild(cap);
+  card.onclick=()=>{ document.querySelectorAll('.vcard.sel').forEach(x=>x.classList.remove('sel')); card.classList.add('sel'); showNode(v); play(v); };
+  return card;
+}
+function imageCard(im){
+  const card=el('div','vcard');
+  const vt=el('div','vt'); const img=el('img'); img.loading='lazy'; img.src=posterFor(im); img.onerror=()=>img.style.visibility='hidden';
+  vt.appendChild(img); const cap=el('div','cap'); const p=el('div','p'); p.appendChild(renderLinkedText(im.prompt||'(edited image)')); cap.appendChild(p);
+  card.appendChild(vt); card.appendChild(cap); card.onclick=()=>showNode(im); return card;
+}
+
+// ---------- player ----------
+const player=$('#player');
+let videoEl=null;
+let seekTimer=null;
+function ensureVideo(){
+  if(!videoEl){ videoEl=document.createElement('video'); videoEl.controls=false; videoEl.loop=true; videoEl.playsInline=true;
+    videoEl.volume = 0;
+    videoEl.muted = true;
+    videoEl.addEventListener('volumechange',()=>{ localStorage.setItem('vol',videoEl.volume); localStorage.setItem('muted',videoEl.muted?'1':'0'); });
+  }
+  return videoEl;
+}
+function fmtTime(s){
+  if(!isFinite(s)) return '0:00';
+  const m=Math.floor(s/60), r=Math.floor(s%60).toString().padStart(2,'0');
+  return m+':'+r;
+}
+function showPromptTools(n){
+  const box=$('#promptTools'); box.innerHTML='';
+  if(n.prompt){
+    const copy=el('button','iconBtn','⧉');
+    copy.title='Copy this prompt';
+    copy.onclick=()=>copyText(n.prompt,copy);
+    box.appendChild(copy);
+    topPhrasesFor(n.prompt,8).forEach(p=>{
+      const ph=el('span','phrase',p);
+      ph.title=(phraseCounts.get(p)||0)+' prompt matches';
+      ph.onclick=()=>setSearch(p);
+      box.appendChild(ph);
+    });
+  }
+}
+function setPromptPanel(n){
+  $('#pinfo').style.display='block';
+  const pp=$('#pprompt'); pp.innerHTML='';
+  pp.appendChild(renderLinkedText(n.prompt || (n.type==='video'?'(no text prompt — '+(n.mode||'guide')+' mode)':'(no prompt)')));
+  showPromptTools(n);
+  const existing=document.querySelector('.sourcePromptBox');
+  if(existing) existing.remove();
+  if(n.type==='video'){
+    const root=byId.get(rootOf(n.id));
+    if(root && root.id!==n.id && root.prompt){
+      const box=el('div','sourcePromptBox');
+      const label=el('div','sourcePromptLabel');
+      label.appendChild(el('span','','Source image prompt'));
+      const copy=el('button','iconBtn','⧉');
+      copy.title='Copy source image prompt';
+      copy.onclick=()=>copyText(root.prompt,copy);
+      label.appendChild(copy);
+      box.appendChild(label);
+      const text=el('div','sourcePromptText');
+      text.appendChild(renderLinkedText(root.prompt));
+      box.appendChild(text);
+      const tools=el('div','promptTools');
+      const focus=el('button','chip','Open source image');
+      focus.onclick=()=>showNode(root);
+      tools.appendChild(focus);
+      box.appendChild(tools);
+      $('#pinfo').appendChild(box);
+    }
+  }
+}
+function renderCustomPlayer(ve){
+  const shell=el('div','playerShell');
+  shell.appendChild(ve);
+  const controls=el('div','playerControls');
+  const playBtn=el('button','','Pause');
+  const range=document.createElement('input'); range.type='range'; range.min='0'; range.max='1000'; range.value='0';
+  const time=el('div','time','0:00 / 0:00');
+  const mute=el('button','',ve.muted?'Muted':'Sound');
+  const volWrap=el('div','volWrap');
+  const vol=document.createElement('input'); vol.type='range'; vol.min='0'; vol.max='100'; vol.value=String(Math.round((ve.volume||0)*100)); vol.title='Volume';
+  volWrap.appendChild(el('span','muted','Vol'));
+  volWrap.appendChild(vol);
+  controls.appendChild(playBtn); controls.appendChild(range); controls.appendChild(time); controls.appendChild(mute); controls.appendChild(volWrap);
+  shell.appendChild(controls);
+  const update=()=>{
+    const d=ve.duration||0, c=ve.currentTime||0;
+    range.value=d?String(Math.round((c/d)*1000)):'0';
+    time.textContent=fmtTime(c)+' / '+fmtTime(d);
+    playBtn.textContent=ve.paused?'Play':'Pause';
+    mute.textContent=ve.muted?'Muted':'Sound';
+    vol.value=String(Math.round((ve.volume||0)*100));
+  };
+  playBtn.onclick=()=>ve.paused?ve.play().catch(()=>{}):ve.pause();
+  mute.onclick=()=>{ ve.muted=!ve.muted; update(); };
+  vol.oninput=()=>{ ve.volume=Number(vol.value)/100; ve.muted=ve.volume===0; update(); };
+  range.oninput=()=>{ const d=ve.duration||0; if(d) ve.currentTime=(Number(range.value)/1000)*d; };
+  ve.ontimeupdate=update; ve.onloadedmetadata=update; ve.onplay=update; ve.onpause=update; ve.onvolumechange=update;
+  clearInterval(seekTimer); seekTimer=setInterval(update,500);
+  return shell;
+}
+function play(v){
+  player.innerHTML='';
+  if(v.status==='downloaded' && v.file){ const ve=ensureVideo(); ve.src=v.file; player.appendChild(renderCustomPlayer(ve)); ve.play().catch(()=>{}); }
+  else { const m=el('div','empty','This video was not downloaded locally.\nRemote: '+(v.remoteMediaUrl||'n/a')); player.appendChild(m); }
+  setPromptPanel(v);
+}
+function showImage(n){
+  player.innerHTML=''; const src=posterFor(n);
+  if(src){ const im=el('img'); im.src=src; im.onerror=()=>{player.innerHTML=''; player.appendChild(el('div','empty','Image not available locally.')); }; player.appendChild(im); }
+  else player.appendChild(el('div','empty','Image not available locally.'));
+  setPromptPanel(n);
+}
+
+// ---------- right detail ----------
+function showNode(n){
+  if(n.type==='video' && n.status==='downloaded') play(n); else if(n.type==='image') showImage(n);
+  const d=$('#detail'); d.innerHTML='';
+  const rootId=rootOf(n.id);
+  const idx=imageLineages.findIndex(c=>c.rootId===rootId);
+  if(idx>=0){
+    const nav=el('div','detailNav');
+    const addNav=(label,c)=>{
+      const b=el('button','');
+      if(!c){ b.disabled=true; b.appendChild(el('span','',label)); nav.appendChild(b); return; }
+      const img=el('img'); img.loading='lazy'; img.src=clusterRep(c); img.onerror=()=>img.style.visibility='hidden';
+      const txt=el('span','',label+'\n'+c.videoCount+' videos');
+      b.appendChild(img); b.appendChild(txt);
+      b.onclick=()=>selectCluster(c.rootId);
+      nav.appendChild(b);
+    };
+    addNav('Prev image', imageLineages[idx-1]);
+    addNav('Next image', imageLineages[idx+1]);
+    d.appendChild(nav);
+  }
+  d.appendChild(el('div','', n.type==='video'?'🎬 Video':'🖼 Image'));
+  const kv=el('div','kv');
+  const add=(k,v)=>{ if(v==null||v==='')return; kv.appendChild(el('div','k',k)); const e=el('div','v'); if(v instanceof Node)e.appendChild(v); else e.textContent=v; kv.appendChild(e); };
+  const promptCell=el('div','');
+  promptCell.appendChild(renderLinkedText(n.prompt||'—'));
+  add('Prompt', promptCell);
+  const root=byId.get(rootOf(n.id));
+  if(n.type==='video' && root && root.id!==n.id && root.prompt){
+    const sourceCell=el('div','');
+    sourceCell.appendChild(renderLinkedText(root.prompt));
+    const copySource=el('button','iconBtn','⧉');
+    copySource.title='Copy source image prompt';
+    copySource.style.marginTop='6px';
+    copySource.onclick=()=>copyText(root.prompt,copySource);
+    sourceCell.appendChild(document.createElement('br'));
+    sourceCell.appendChild(copySource);
+    add('Source prompt', sourceCell);
+  }
+  add('Mode', n.mode);
+  add('Model', n.model);
+  add('Duration', n.durationSec? n.durationSec+'s':null);
+  if(n.refType==='ORIGINAL_REF_TYPE_VIDEO_EXTENSION') add('Extension', 'continues from '+(n.extStartSec||0)+'s');
+  add('Resolution', n.w? n.w+'×'+n.h:null);
+  add('Created', n.t? new Date(n.t).toLocaleString():null);
+  add('Status', n.status + (n.moderated?' · moderated':'') + (n.rRated?' · R':''));
+  add('Source', n.provenance.join(', '));
+  add('Post id', n.id);
+  // parent
+  if(n.parentId && byId.has(n.parentId)){ const a=el('a','','▲ open parent'); a.href='#'; a.onclick=e=>{e.preventDefault(); gotoNode(n.parentId);}; add('Parent', a); }
+  // children
+  const kids=(childrenOf.get(n.id)||[]);
+  if(kids.length){ const a=el('a','', kids.length+' child item(s)'); add('Children', a); }
+  // grok link
+  const gl=el('a','','open on grok.com ↗'); gl.href='https://grok.com/imagine/post/'+n.id; gl.target='_blank'; add('Link', gl);
+  if(n.file){ add('File', n.file); }
+  d.appendChild(kv);
+  if(n.prompt){
+    const phrases=topPhrasesFor(n.prompt,12);
+    if(phrases.length){
+      const pb=el('div','phrasebox');
+      phrases.forEach(p=>{ const ph=el('span','phrase',p); ph.onclick=()=>setSearch(p); pb.appendChild(ph); });
+      d.appendChild(pb);
+    }
+  }
+  const bt=el('div','dbtns');
+  if(n.prompt){ const cp=el('button','iconBtn','⧉'); cp.title='Copy this prompt'; cp.onclick=()=>copyText(n.prompt,cp); bt.appendChild(cp); }
+  const cb=el('button','','Focus this lineage'); cb.onclick=()=>{ const root=rootOf(n.id); const row=[...document.querySelectorAll('.crow')].find(r=>r.dataset.root===root); selectCluster(root,row); }; bt.appendChild(cb);
+  d.appendChild(bt);
+}
+function rootOf(id){ let cur=id,seen=new Set(); while(byId.get(cur)&&byId.get(cur).parentId&&byId.has(byId.get(cur).parentId)&&!seen.has(cur)){ seen.add(cur); cur=byId.get(cur).parentId; } return cur; }
+function gotoNode(id){ const n=byId.get(id); const root=rootOf(id); const row=[...document.querySelectorAll('.crow')].find(r=>r.dataset.root===root); selectCluster(root,row); showNode(n); }
+
+// ---------- init ----------
+function initStats(){
+  const s=G.stats; const box=$('#stats');
+  const add=(label,val)=>{ const p=el('span','pill'); p.innerHTML='<b>'+val.toLocaleString()+'</b> '+label; box.appendChild(p); };
+  add('videos',s.videos); add('images',s.images); add('downloaded',s.downloadedVideos);
+  add('image→video',s.derivedFrom); add('extensions',s.extends); add('lineages',s.clusters);
+}
+initStats(); renderList();
+</script>
+</body>
+</html>
diff --git a/tools/grok-export/build_graph.py b/tools/grok-export/build_graph.py
new file mode 100644
index 0000000..e2c8849
--- /dev/null
+++ b/tools/grok-export/build_graph.py
@@ -0,0 +1,264 @@
+"""Build a normalized relationship graph for a Grok Imagine archive.
+
+Merges the authoritative REST harvest (`rest_posts.jsonl`, produced by harvesting
+grok.com's logged-in `rest/media/post/list` via the browser + harvest_relay.py)
+with the locally downloaded assets (`video_downloads.jsonl`, `manifest.jsonl`)
+into a single `archive_graph.js` that the visualizer consumes.
+
+The REST data carries the real lineage the flat export lacks:
+  - image -> video:      child.originalPostId = source image, child.mode = guide,
+                         child.videoDuration, child.prompt
+  - video -> extension:  child.originalRefType = ORIGINAL_REF_TYPE_VIDEO_EXTENSION,
+                         child.originalPostId = parent video, child.videoExtensionStartTime
+  - image edit:          ORIGINAL_REF_TYPE_IMAGE_EDIT / _MULTI_REF_IMAGE_EDIT,
+                         child.inputMediaItems = source image(s)
+
+Nodes are identified by UUID and merged across sources; edges record provenance and
+confidence (1.0 = authoritative REST lineage).
+
+Output is archive/user data (personal prompts, IDs, NSFW). Keep it outside the repo.
+"""
+
+import argparse
+import json
+from collections import defaultdict
+from datetime import datetime, timezone
+from pathlib import Path
+
+
+def parse_ms(value: str) -> int:
+    if not value:
+        return 0
+    try:
+        return int(datetime.fromisoformat(value.replace("Z", "+00:00")).timestamp() * 1000)
+    except ValueError:
+        return 0
+
+
+def read_jsonl(path: Path):
+    if not path.exists():
+        return
+    with path.open("r", encoding="utf-8") as f:
+        for line in f:
+            line = line.strip()
+            if line:
+                try:
+                    yield json.loads(line)
+                except json.JSONDecodeError:
+                    continue
+
+
+def relpath(path: str, archive_root: Path) -> str:
+    if not path:
+        return ""
+    try:
+        return Path(path).resolve().relative_to(archive_root).as_posix()
+    except ValueError:
+        return Path(path).as_posix()
+
+
+REF_KIND = {
+    "ORIGINAL_REF_TYPE_VIDEO_EXTENSION": "extends",
+    "ORIGINAL_REF_TYPE_IMAGE_EDIT": "editOf",
+    "ORIGINAL_REF_TYPE_MULTI_REF_IMAGE_EDIT": "editOf",
+}
+
+
+def node_type(media_type: str) -> str:
+    return "video" if media_type == "MEDIA_POST_TYPE_VIDEO" else "image"
+
+
+def flatten_rest(rest_path: Path):
+    """Yield every post (top-level and nested childPosts), de-duped by id."""
+    seen = {}
+
+    def walk(post):
+        pid = post.get("id")
+        if not pid:
+            return
+        if pid not in seen:
+            seen[pid] = post
+        for child in post.get("childPosts") or []:
+            walk(child)
+
+    for top in read_jsonl(rest_path):
+        walk(top)
+    return seen
+
+
+def build(archive_root: Path, out: Path) -> dict:
+    rest = flatten_rest(archive_root / "rest_posts.jsonl")
+
+    local_video = {}
+    for row in read_jsonl(archive_root / "video_downloads.jsonl"):
+        pid, file_name = row.get("post_id"), row.get("file")
+        if pid and file_name and Path(file_name).exists():
+            local_video[pid] = relpath(file_name, archive_root)
+
+    local_image = {}
+    for row in read_jsonl(archive_root / "manifest.jsonl"):
+        iid, file_name = row.get("id"), row.get("file")
+        if iid and file_name:
+            local_image[iid] = file_name  # manifest files are already relative
+
+    # source images harvested from the API into ApiImages/<id>.<ext>
+    api_images_dir = archive_root / "ApiImages"
+    if api_images_dir.is_dir():
+        for f in api_images_dir.iterdir():
+            if f.is_file() and f.stat().st_size > 0:
+                local_image.setdefault(f.stem, "ApiImages/" + f.name)
+
+    nodes: dict[str, dict] = {}
+
+    def ensure(node_id: str) -> dict:
+        if node_id not in nodes:
+            nodes[node_id] = {"id": node_id, "provenance": []}
+        return nodes[node_id]
+
+    # 1) authoritative REST nodes
+    for pid, p in rest.items():
+        n = ensure(pid)
+        ntype = node_type(p.get("mediaType", ""))
+        res = p.get("resolution") or {}
+        n.update({
+            "type": ntype,
+            "createTime": p.get("createTime") or "",
+            "t": parse_ms(p.get("createTime") or ""),
+            "prompt": p.get("prompt") or p.get("originalPrompt") or "",
+            "parentId": p.get("originalPostId") or None,
+            "refType": p.get("originalRefType") or None,
+            "mode": p.get("mode") or None,
+            "model": p.get("modelName") or None,
+            "durationSec": p.get("videoDuration") or None,
+            "extStartSec": p.get("videoExtensionStartTime") or None,
+            "w": res.get("width") or None,
+            "h": res.get("height") or None,
+            "moderated": bool(p.get("moderated")),
+            "rRated": bool(p.get("rRated")),
+            "rootUpload": bool(p.get("isRootUserUploaded")),
+            "remoteMediaUrl": (p.get("hdMediaUrl") or p.get("mediaUrl") or "").split("?")[0],
+            "remoteThumb": (p.get("thumbnailImageUrl") or "").split("?")[0],
+            "remoteLastFrame": (p.get("lastFrameThumbnailImageUrl") or "").split("?")[0],
+        })
+        if "rest_api" not in n["provenance"]:
+            n["provenance"].append("rest_api")
+
+    # 2) local-only assets (downloaded/exported but not in the liked graph)
+    for pid, rel in local_video.items():
+        n = ensure(pid)
+        n.setdefault("type", "video")
+        if "export" not in n["provenance"] and "rest_api" not in n["provenance"]:
+            n["provenance"].append("export")
+    for iid, rel in local_image.items():
+        n = ensure(iid)
+        n.setdefault("type", "image")
+        if "export" not in n["provenance"] and "rest_api" not in n["provenance"]:
+            n["provenance"].append("export")
+
+    # attach local files + status
+    for nid, n in nodes.items():
+        if n.get("type") == "video":
+            local = local_video.get(nid)
+        else:
+            local = local_image.get(nid)
+        n["file"] = local or ""
+        n["status"] = "downloaded" if local else "remote"
+        n.setdefault("createTime", "")
+        n.setdefault("t", 0)
+        n.setdefault("prompt", "")
+        n.setdefault("parentId", None)
+
+    # 3) edges from authoritative parent links
+    edges = []
+    for nid, n in nodes.items():
+        parent = n.get("parentId")
+        if not parent or parent not in nodes:
+            continue
+        ref = n.get("refType")
+        if ref in REF_KIND:
+            kind = REF_KIND[ref]
+        else:
+            kind = "derivedFrom" if n.get("type") == "video" else "variantOf"
+        edge = {"from": nid, "to": parent, "kind": kind, "confidence": 1.0}
+        if n.get("extStartSec"):
+            edge["startSec"] = n["extStartSec"]
+        edges.append(edge)
+
+    # 4) clusters: connected lineage rooted at the earliest ancestor
+    parent_of = {n["id"]: (n.get("parentId") if n.get("parentId") in nodes else None) for n in nodes.values()}
+
+    def root_of(node_id: str) -> str:
+        seen = set()
+        cur = node_id
+        while parent_of.get(cur) and cur not in seen:
+            seen.add(cur)
+            cur = parent_of[cur]
+        return cur
+
+    clusters = defaultdict(list)
+    for nid in nodes:
+        clusters[root_of(nid)].append(nid)
+
+    children = defaultdict(list)
+    for nid, par in parent_of.items():
+        if par:
+            children[par].append(nid)
+    for n in nodes.values():
+        n["childCount"] = len(children.get(n["id"], []))
+
+    cluster_list = []
+    for root_id, members in clusters.items():
+        members.sort(key=lambda m: (nodes[m]["t"], m))
+        root = nodes[root_id]
+        cluster_list.append({
+            "rootId": root_id,
+            "rootType": root.get("type"),
+            "size": len(members),
+            "videoCount": sum(1 for m in members if nodes[m].get("type") == "video"),
+            "t": root.get("t", 0),
+            "memberIds": members,
+        })
+    cluster_list.sort(key=lambda c: (-c["size"], -c["t"]))
+
+    downloaded_videos = sum(1 for n in nodes.values() if n.get("type") == "video" and n["status"] == "downloaded")
+    index = {
+        "generatedAt": datetime.now(timezone.utc).isoformat(),
+        "stats": {
+            "nodes": len(nodes),
+            "images": sum(1 for n in nodes.values() if n.get("type") == "image"),
+            "videos": sum(1 for n in nodes.values() if n.get("type") == "video"),
+            "downloadedVideos": downloaded_videos,
+            "edges": len(edges),
+            "extends": sum(1 for e in edges if e["kind"] == "extends"),
+            "derivedFrom": sum(1 for e in edges if e["kind"] == "derivedFrom"),
+            "edits": sum(1 for e in edges if e["kind"] == "editOf"),
+            "clusters": len(cluster_list),
+            "restNodes": sum(1 for n in nodes.values() if "rest_api" in n["provenance"]),
+        },
+        "nodes": sorted(nodes.values(), key=lambda n: (n.get("t", 0), n["id"])),
+        "edges": edges,
+        "clusters": cluster_list,
+    }
+
+    out.write_text(
+        "window.GROK_GRAPH = " + json.dumps(index, ensure_ascii=False, separators=(",", ":")) + ";\n",
+        encoding="utf-8",
+    )
+    return index
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Build archive_graph.js from rest_posts.jsonl + local assets")
+    parser.add_argument("--archive-root", required=True, type=Path)
+    parser.add_argument("--out", type=Path)
+    args = parser.parse_args()
+    archive_root = args.archive_root.resolve()
+    out = args.out or archive_root / "archive_graph.js"
+    index = build(archive_root, out)
+    print(f"Wrote {out}")
+    print(json.dumps(index["stats"], indent=2))
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/grok-export/harvest_relay.py b/tools/grok-export/harvest_relay.py
new file mode 100644
index 0000000..6123c29
--- /dev/null
+++ b/tools/grok-export/harvest_relay.py
@@ -0,0 +1,135 @@
+"""Local relay receiver for harvesting Grok Imagine REST data out of a logged-in browser.
+
+The authoritative Grok media graph is only reachable from a logged-in grok.com
+browser session (the internal `rest/media/post/list` endpoint). This tiny HTTP
+server runs on loopback and accepts the harvested JSON that the browser POSTs to
+it, appending it verbatim to `<archive-root>/rest_posts.jsonl`.
+
+Loopback (`127.0.0.1`) is a "potentially trustworthy" origin, so an https grok.com
+page is allowed to `fetch()` it despite mixed-content rules. CORS is wide open
+because the only client is the user's own browser on their own machine.
+
+This server writes user/archive data (personal prompts, IDs, NSFW content). Keep
+its output outside the repo.
+
+Usage:
+    python tools/grok-export/harvest_relay.py --archive-root "C:\\GrokArchive\\WebExport" --port 8777
+
+Endpoints:
+    OPTIONS *          -> CORS preflight
+    POST   /reset      -> truncate rest_posts.jsonl (start a fresh harvest)
+    POST   /append     -> append the raw request body (expected: JSONL text) to the file
+    GET    /status     -> JSON: { lines, bytes }
+"""
+
+import argparse
+import json
+import re
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+from pathlib import Path
+from urllib.parse import urlparse, parse_qs
+
+SAFE_ID = re.compile(r"^[0-9a-fA-F-]{36}$")
+SAFE_EXT = re.compile(r"^[a-z0-9]{2,5}$")
+
+
+def make_handler(out_path: Path, media_dir: Path):
+    class Handler(BaseHTTPRequestHandler):
+        def _cors(self):
+            self.send_header("Access-Control-Allow-Origin", "*")
+            self.send_header("Access-Control-Allow-Methods", "GET, POST, OPTIONS")
+            self.send_header("Access-Control-Allow-Headers", "content-type")
+
+        def _send(self, code: int, body: bytes = b"", content_type: str = "text/plain"):
+            self.send_response(code)
+            self._cors()
+            self.send_header("Content-Type", content_type)
+            self.send_header("Content-Length", str(len(body)))
+            self.end_headers()
+            if body:
+                self.wfile.write(body)
+
+        def do_OPTIONS(self):
+            self._send(204)
+
+        def do_GET(self):
+            route = urlparse(self.path).path.rstrip("/")
+            if route == "/needlist":
+                need = out_path.parent / "_need_images.json"
+                body = need.read_bytes() if need.exists() else b"[]"
+                self._send(200, body, "application/json")
+                return
+            if self.path.rstrip("/") == "/status":
+                lines = 0
+                size = 0
+                if out_path.exists():
+                    size = out_path.stat().st_size
+                    with out_path.open("r", encoding="utf-8") as f:
+                        lines = sum(1 for _ in f)
+                self._send(200, json.dumps({"lines": lines, "bytes": size}).encode("utf-8"), "application/json")
+            else:
+                self._send(404, b"not found")
+
+        def do_POST(self):
+            length = int(self.headers.get("Content-Length", "0"))
+            raw = self.rfile.read(length) if length else b""
+            parsed = urlparse(self.path)
+            route = parsed.path.rstrip("/")
+            if route == "/media":
+                q = parse_qs(parsed.query)
+                mid = (q.get("id") or [""])[0]
+                ext = (q.get("ext") or ["jpg"])[0].lower().lstrip(".")
+                if not SAFE_ID.match(mid) or not SAFE_EXT.match(ext):
+                    self._send(400, b'{"ok":false,"err":"bad id/ext"}', "application/json")
+                    return
+                media_dir.mkdir(parents=True, exist_ok=True)
+                dest = media_dir / f"{mid}.{ext}"
+                if dest.exists() and dest.stat().st_size > 0:
+                    self._send(200, b'{"ok":true,"skip":true}', "application/json")
+                    return
+                dest.write_bytes(raw)
+                self._send(200, json.dumps({"ok": True, "bytes": len(raw)}).encode("utf-8"), "application/json")
+                return
+            if route == "/reset":
+                out_path.parent.mkdir(parents=True, exist_ok=True)
+                out_path.write_bytes(b"")
+                self._send(200, b'{"ok":true,"reset":true}', "application/json")
+            elif route == "/append":
+                out_path.parent.mkdir(parents=True, exist_ok=True)
+                text = raw.decode("utf-8", errors="replace")
+                if text and not text.endswith("\n"):
+                    text += "\n"
+                with out_path.open("a", encoding="utf-8") as f:
+                    f.write(text)
+                self._send(200, json.dumps({"ok": True, "appended": len(raw)}).encode("utf-8"), "application/json")
+            else:
+                self._send(404, b"not found")
+
+        def log_message(self, fmt, *args):
+            print("relay " + (fmt % args), flush=True)
+
+    return Handler
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Local loopback relay that writes harvested Grok REST data to rest_posts.jsonl")
+    parser.add_argument("--archive-root", required=True, type=Path)
+    parser.add_argument("--out", type=Path)
+    parser.add_argument("--media-dir", type=Path)
+    parser.add_argument("--port", type=int, default=8777)
+    args = parser.parse_args()
+
+    root = args.archive_root.resolve()
+    out_path = (args.out or root / "rest_posts.jsonl").resolve()
+    media_dir = (args.media_dir or root / "ApiImages").resolve()
+    server = ThreadingHTTPServer(("127.0.0.1", args.port), make_handler(out_path, media_dir))
+    print(f"relay listening on http://127.0.0.1:{args.port} -> {out_path} | media -> {media_dir}", flush=True)
+    try:
+        server.serve_forever()
+    except KeyboardInterrupt:
+        pass
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/grok-export/make_posters.py b/tools/grok-export/make_posters.py
new file mode 100644
index 0000000..7e0ea2f
--- /dev/null
+++ b/tools/grok-export/make_posters.py
@@ -0,0 +1,100 @@
+"""Generate small poster (first-frame) thumbnails for downloaded Grok videos.
+
+The visualizer needs lightweight thumbnails so it can show thousands of clips
+without loading full mp4s. This extracts one frame near the start of each locally
+downloaded video into `<archive-root>/Posters/<post_id>.jpg`.
+
+Posters are derived archive data; keep them outside the repo.
+
+Usage:
+    python tools/grok-export/make_posters.py --archive-root "C:\\GrokArchive\\WebExport" --workers 8
+"""
+
+import argparse
+import json
+import subprocess
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from pathlib import Path
+
+
+def read_jsonl(path: Path):
+    if not path.exists():
+        return
+    with path.open("r", encoding="utf-8") as f:
+        for line in f:
+            line = line.strip()
+            if line:
+                try:
+                    yield json.loads(line)
+                except json.JSONDecodeError:
+                    continue
+
+
+def make_poster(post_id: str, src: Path, dest: Path, width: int) -> tuple[str, bool, str]:
+    if dest.exists() and dest.stat().st_size > 0:
+        return post_id, True, "skip"
+    dest.parent.mkdir(parents=True, exist_ok=True)
+    cmd = [
+        "ffmpeg", "-y", "-loglevel", "error",
+        "-ss", "0.1", "-i", str(src),
+        "-frames:v", "1",
+        "-vf", f"scale={width}:-2:flags=bilinear",
+        "-q:v", "5",
+        str(dest),
+    ]
+    try:
+        r = subprocess.run(cmd, capture_output=True, timeout=60)
+        if r.returncode == 0 and dest.exists() and dest.stat().st_size > 0:
+            return post_id, True, "ok"
+        return post_id, False, (r.stderr.decode("utf-8", "replace")[:120] or "ffmpeg failed")
+    except Exception as ex:
+        return post_id, False, f"{type(ex).__name__}: {ex}"
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Extract first-frame poster thumbnails for downloaded videos")
+    parser.add_argument("--archive-root", required=True, type=Path)
+    parser.add_argument("--out", type=Path)
+    parser.add_argument("--width", type=int, default=400)
+    parser.add_argument("--workers", type=int, default=8)
+    args = parser.parse_args()
+
+    archive_root = args.archive_root.resolve()
+    posters_dir = args.out or archive_root / "Posters"
+
+    jobs = []
+    for row in read_jsonl(archive_root / "video_downloads.jsonl"):
+        pid, file_name = row.get("post_id"), row.get("file")
+        if not pid or not file_name:
+            continue
+        src = Path(file_name)
+        if not src.exists():
+            continue
+        jobs.append((pid, src, posters_dir / f"{pid}.jpg"))
+
+    # de-dupe by post id
+    seen = {}
+    for pid, src, dest in jobs:
+        seen.setdefault(pid, (pid, src, dest))
+    jobs = list(seen.values())
+
+    print(f"posters: {len(jobs)} videos -> {posters_dir}", flush=True)
+    ok = skip = fail = 0
+    with ThreadPoolExecutor(max_workers=max(1, args.workers)) as ex:
+        futures = [ex.submit(make_poster, pid, src, dest, args.width) for pid, src, dest in jobs]
+        for i, fut in enumerate(as_completed(futures), start=1):
+            _, success, note = fut.result()
+            if note == "skip":
+                skip += 1
+            elif success:
+                ok += 1
+            else:
+                fail += 1
+            if i % 500 == 0:
+                print(f"  {i}/{len(jobs)} ok={ok} skip={skip} fail={fail}", flush=True)
+    print(f"done ok={ok} skip={skip} fail={fail}", flush=True)
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

From 50eb6fd2a25c984d8917f8549666419fed06e071 Mon Sep 17 00:00:00 2001
From: Cursor Agent <cursoragent@cursor.com>
Date: Sun, 28 Jun 2026 18:52:27 +0000
Subject: [PATCH 75/78] add local flux2 comfyui generator

Co-authored-by: Ernest French <ernestfrench@gmail.com>
---
 AGENTS.md                                     |   4 +-
 ImageGenerationClasses/Settings.cs            |  21 +
 .../Enums/GeneratorApiTypeExtensions.cs       |   1 +
 .../Enums/ImageGeneratorApiType.cs            |   5 +
 .../LocalFlux2ComfyGenerator.cs               | 578 ++++++++++++++++++
 MultiImageClient/Workflows/GeneratorGroups.cs |   4 +
 MultiImageClient/Workflows/ReplWorkflow.cs    |   9 +-
 .../MultiClientRunStats.cs                    |   7 +
 ...settings - Fill this in and rename it.json |  18 +-
 tools/local-flux2-comfy/README.md             |  82 +++
 .../setup_local_flux2_comfyui.sh              | 131 ++++
 11 files changed, 855 insertions(+), 5 deletions(-)
 create mode 100644 MultiImageClient/ImageGenerators/LocalFlux2ComfyGenerator.cs
 create mode 100644 tools/local-flux2-comfy/README.md
 create mode 100755 tools/local-flux2-comfy/setup_local_flux2_comfyui.sh

diff --git a/AGENTS.md b/AGENTS.md
index 237b75c..1e8c325 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -38,7 +38,7 @@ See `RunOptions.cs` for the source of truth; this is the current surface:
 - `--fast` — one fixed gpt-image-2 low/1024x1024/moderation=low call per prompt. Cheap smoke-test config.
 - `--quick-test` — like `--fast`, plus every streamed partial PNG is saved AND popped in the default viewer. Still asks y/n per prompt unless combined with `--auto`.
 - `--backfill-dl` — one-shot: mirror every image under `Settings.ImageDownloadBaseFolder` into `Settings.FlatImageMirrorPath` and exit.
-- `--repl` — **interactive prompt-by-prompt REPL with async dispatch**. Defaults: gpt-image-2 at 2048x2048 / high / moderation=low / n=1, up to 5 prompts in flight concurrently. Each line is either a prompt (fired asynchronously, stdin stays responsive) or a `:command`. Grids are built and saved but NOT opened in the viewer. Commands: `:size WxH`, `:quality low|medium|high`, `:moderation auto|low`, `:n N` (images per gpt-image-2 call; >10 requires confirmation), `:concurrency N`, `:gens list|add|remove|reset` (names: gpt2, dalle3, ideogram, recraft, bfl, google, googlepro, imagen4 — imagen4 dead after 2026-06-24), `:status`, `:wait`, `:last`, `:retry`, `:edit`, `:help`, `:quit`. Per-prompt override syntax: `[size=1024x1024,q=low,n=4] a red apple on a white plate`. Initial defaults can be pre-set from the command line via `--repl-size`, `--repl-quality`, `--repl-moderation`, `--repl-concurrency`, `--repl-n`. Implementation in `Workflows/ReplWorkflow.cs`.
+- `--repl` — **interactive prompt-by-prompt REPL with async dispatch**. Defaults: gpt-image-2 at 2048x2048 / high / moderation=low / n=1, up to 5 prompts in flight concurrently. Each line is either a prompt (fired asynchronously, stdin stays responsive) or a `:command`. Grids are built and saved but NOT opened in the viewer. Commands: `:size WxH`, `:quality low|medium|high`, `:moderation auto|low`, `:n N` (images per gpt-image-2 call; >10 requires confirmation), `:concurrency N`, `:gens list|add|remove|reset` (names: gpt2, dalle3, ideogram, recraft, bfl, flux2local, google, googlepro, imagen4 — imagen4 dead after 2026-06-24), `:status`, `:wait`, `:last`, `:retry`, `:edit`, `:help`, `:quit`. Per-prompt override syntax: `[size=1024x1024,q=low,n=4] a red apple on a white plate`. Initial defaults can be pre-set from the command line via `--repl-size`, `--repl-quality`, `--repl-moderation`, `--repl-concurrency`, `--repl-n`. Implementation in `Workflows/ReplWorkflow.cs`.
 
 ## Coding Style & Naming Conventions
 Use 4-space indentation and .NET naming: PascalCase for public types/methods, camelCase for locals, Async suffix for asynchronous methods. Favor explicit types for shared models; use `var` only when the type is obvious. Route new configuration through `ImageGenerationClasses/Settings.cs` instead of ad-hoc JSON parsing. Python utilities under `djangoManager/` should follow PEP 8 snake_case, with comments reserved for non-obvious prompt logic.
@@ -73,4 +73,4 @@ No dedicated test project exists yet. Manually validate new workflows by running
 Keep commits focused and use imperative, present-tense subjects as in history (`rename and genericize describers`). Include context in the body for prompt sets or configuration changes. Pull requests should outline workflow impacts, note which services (BFL, Ideogram, Recraft) are affected, call out required settings updates, and attach screenshots or sample outputs for UI or prompt adjustments.
 
 ## Configuration & Secrets
-Copy `MultiImageClient/settings - Fill this in and rename it.json` to `MultiImageClient/settings.json` (already `.gitignore`d), populate only the provider keys for services you intend to use, and never commit secrets. `Settings.Validate()` hard-requires only `LogFilePath` and `ImageDownloadBaseFolder`; every per-generator API key (and the Google Cloud trio: `GoogleCloudLocation`, `GoogleCloudProjectId`, `GoogleServiceAccountKeyPath`) is validated lazily by the generator that actually needs it, so unused generators can be left blank. Optional per-generator keys: `IdeogramApiKey`, `OpenAIApiKey` (DALL·E 3, GPT-Image-1, GPT-Image-2), `BFLApiKey`, `RecraftApiKey`, `GoogleGeminiApiKey` (NanoBanana), `GoogleCloudApiKey` (Vertex alternative), `AnthropicApiKey` (Claude rewrites & describer). Prompt file list lives in `PromptFiles` (array of absolute paths). `FlatImageMirrorPath` is an optional flat-folder mirror: if set, every saved raw/annotated/combined image is also copied to that single folder (best-effort, never fatal) — leave blank to disable. `TypedPromptsAppendFile` is an optional plain-text corpus: if set, any free-form prompt you type at the interactive batch loop is appended as one line to that file (embedded newlines collapsed, parent folder auto-created, never fatal) — handy for growing something like `2023-prompts.txt` over time. Prefer user secrets or environment variables when scripting automation or sharing runs.
+Copy `MultiImageClient/settings - Fill this in and rename it.json` to `MultiImageClient/settings.json` (already `.gitignore`d), populate only the provider keys for services you intend to use, and never commit secrets. `Settings.Validate()` hard-requires only `LogFilePath` and `ImageDownloadBaseFolder`; every per-generator API key (and the Google Cloud trio: `GoogleCloudLocation`, `GoogleCloudProjectId`, `GoogleServiceAccountKeyPath`) is validated lazily by the generator that actually needs it, so unused generators can be left blank. Optional per-generator keys: `IdeogramApiKey`, `OpenAIApiKey` (DALL·E 3, GPT-Image-1, GPT-Image-2), `BFLApiKey`, `RecraftApiKey`, `GoogleGeminiApiKey` (NanoBanana), `GoogleCloudApiKey` (Vertex alternative), `AnthropicApiKey` (Claude rewrites & describer). Local Flux2 Klein/uncensored ComfyUI runs use `LocalFlux2ComfyEndpoint`, `LocalFlux2WorkflowPath`, and optional node/model override settings; setup notes live under `tools/local-flux2-comfy/`. Prompt file list lives in `PromptFiles` (array of absolute paths). `FlatImageMirrorPath` is an optional flat-folder mirror: if set, every saved raw/annotated/combined image is also copied to that single folder (best-effort, never fatal) — leave blank to disable. `TypedPromptsAppendFile` is an optional plain-text corpus: if set, any free-form prompt you type at the interactive batch loop is appended as one line to that file (embedded newlines collapsed, parent folder auto-created, never fatal) — handy for growing something like `2023-prompts.txt` over time. Prefer user secrets or environment variables when scripting automation or sharing runs.
diff --git a/ImageGenerationClasses/Settings.cs b/ImageGenerationClasses/Settings.cs
index ed542e3..2c7b532 100644
--- a/ImageGenerationClasses/Settings.cs
+++ b/ImageGenerationClasses/Settings.cs
@@ -67,6 +67,27 @@ public class Settings
         /// is always one-prompt-per-line.
         public string TypedPromptsAppendFile { get; set; } = "";
 
+        // Local FLUX.2 Klein / ComfyUI integration. The uncensored variant is
+        // workflow-driven: ComfyUI owns the model graph, and MultiImageClient
+        // only patches prompt/size/seed plus any explicit node input overrides.
+        public string LocalFlux2ComfyEndpoint { get; set; } = "http://127.0.0.1:8188";
+        public bool LocalFlux2AllowRemoteEndpoint { get; set; } = false;
+        public string LocalFlux2WorkflowPath { get; set; } = "";
+        public string LocalFlux2PositivePromptNodeId { get; set; } = "";
+        public string LocalFlux2NegativePromptNodeId { get; set; } = "";
+        public string LocalFlux2NegativePrompt { get; set; } = "";
+        public string LocalFlux2ModelName { get; set; } = "";
+        public string LocalFlux2TextEncoderName { get; set; } = "";
+        public string LocalFlux2VaeName { get; set; } = "";
+        public int LocalFlux2Width { get; set; } = 1024;
+        public int LocalFlux2Height { get; set; } = 1024;
+        public int LocalFlux2Steps { get; set; } = 28;
+        public double LocalFlux2Guidance { get; set; } = 1.0;
+        public int? LocalFlux2Seed { get; set; }
+        public int LocalFlux2TimeoutSeconds { get; set; } = 900;
+        public Dictionary<string, Dictionary<string, JToken>> LocalFlux2WorkflowInputOverrides { get; set; } =
+            new Dictionary<string, Dictionary<string, JToken>>();
+
         public static Settings LoadFromFile(string filePath)
         {
             if (!File.Exists(filePath))
diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index e7698ca..e0cb8c9 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -40,6 +40,7 @@ public static string GetFileExtension(this ImageGeneratorApiType generator)
                 ImageGeneratorApiType.GrokImagine => ".png",
                 ImageGeneratorApiType.GrokImaginePro => ".png",
                 ImageGeneratorApiType.GrokImagineVideo => ".mp4",
+                ImageGeneratorApiType.LocalFlux2Uncensored => ".png",
                 _ => throw new ArgumentException("Unknown image generator type while picking file extension:", nameof(generator))
             };
         }
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index b3a7ff4..26045db 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -59,5 +59,10 @@ public enum ImageGeneratorApiType
         // BFL flux-2-pro-preview: where BFL lands the latest [pro]
         // improvements first. Same API contract as flux-2-pro.
         BFLFlux2ProPreview = 29,
+
+        // Local ComfyUI-backed FLUX.2 Klein workflow using a user-supplied
+        // uncensored/ablated text encoder. No hosted API cost; requires a
+        // running local ComfyUI server and API-format workflow JSON.
+        LocalFlux2Uncensored = 30,
     }
 }
diff --git a/MultiImageClient/ImageGenerators/LocalFlux2ComfyGenerator.cs b/MultiImageClient/ImageGenerators/LocalFlux2ComfyGenerator.cs
new file mode 100644
index 0000000..8a904b6
--- /dev/null
+++ b/MultiImageClient/ImageGenerators/LocalFlux2ComfyGenerator.cs
@@ -0,0 +1,578 @@
+using Newtonsoft.Json;
+using Newtonsoft.Json.Linq;
+
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Security.Cryptography;
+using System.Text;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public class LocalFlux2ComfyGenerator : IImageGenerator
+    {
+        private static readonly string[] ModelInputNames =
+            { "unet_name", "ckpt_name", "model_name", "diffusion_model_name" };
+
+        private static readonly string[] TextEncoderInputNames =
+        {
+            "clip_name", "clip_name1", "clip_name2", "clip_name3",
+            "text_encoder_name", "text_encoder_name1", "text_encoder_name2",
+            "t5_name", "qwen_name"
+        };
+
+        private static readonly string[] VaeInputNames = { "vae_name" };
+
+        private readonly Settings _settings;
+        private readonly SemaphoreSlim _semaphore;
+        private readonly MultiClientRunStats _stats;
+        private readonly HttpClient _httpClient;
+        private readonly string _endpoint;
+        private readonly string _name;
+
+        public ImageGeneratorApiType ApiType => ImageGeneratorApiType.LocalFlux2Uncensored;
+
+        public LocalFlux2ComfyGenerator(Settings settings, int maxConcurrency, MultiClientRunStats stats, string name = "")
+        {
+            _settings = settings;
+            _stats = stats;
+            _name = string.IsNullOrWhiteSpace(name) ? "" : name;
+            _semaphore = new SemaphoreSlim(Math.Max(1, maxConcurrency));
+            _endpoint = NormalizeEndpoint(settings.LocalFlux2ComfyEndpoint);
+            EnsureEndpointAllowed(_endpoint, settings.LocalFlux2AllowRemoteEndpoint);
+
+            var timeout = settings.LocalFlux2TimeoutSeconds <= 0 ? 900 : settings.LocalFlux2TimeoutSeconds;
+            _httpClient = new HttpClient
+            {
+                Timeout = TimeSpan.FromSeconds(timeout + 30)
+            };
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var suffix = string.IsNullOrEmpty(_name) ? "" : _name;
+            return $"{ApiType}{suffix}_{_settings.LocalFlux2Height}x{_settings.LocalFlux2Width}";
+        }
+
+        public List<string> GetRightParts()
+        {
+            return new List<string>
+            {
+                "Local Flux2",
+                "ComfyUI",
+                $"{_settings.LocalFlux2Width}x{_settings.LocalFlux2Height}",
+                EndpointHostLabel(_endpoint)
+            };
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            return string.IsNullOrEmpty(_name) ? "local-flux2-uncensored" : _name;
+        }
+
+        public decimal GetCost()
+        {
+            return 0m;
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _semaphore.WaitAsync();
+            var sw = Stopwatch.StartNew();
+            _stats.LocalFlux2RequestCount++;
+
+            try
+            {
+                if (string.IsNullOrWhiteSpace(_settings.LocalFlux2WorkflowPath))
+                {
+                    throw new InvalidOperationException(
+                        "Settings.LocalFlux2WorkflowPath is required for the local Flux2 ComfyUI generator.");
+                }
+                if (!File.Exists(_settings.LocalFlux2WorkflowPath))
+                {
+                    throw new FileNotFoundException(
+                        $"Local Flux2 workflow file not found: {_settings.LocalFlux2WorkflowPath}");
+                }
+
+                var workflow = LoadApiWorkflow(_settings.LocalFlux2WorkflowPath);
+                PatchWorkflow(workflow, promptDetails.Prompt);
+
+                var promptId = await QueuePromptAsync(workflow);
+                Logger.Log($"{promptDetails} Local Flux2 queued in ComfyUI: {promptId}");
+
+                var history = await WaitForHistoryAsync(promptId);
+                var images = await DownloadOutputImagesAsync(history);
+                if (images.Count == 0)
+                {
+                    throw new InvalidOperationException("ComfyUI completed the workflow but returned no images.");
+                }
+
+                _stats.LocalFlux2SuccessCount++;
+                Logger.Log($"{promptDetails} Local Flux2 generated {images.Count} image(s).");
+
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Base64ImageDatas = images.Select(i => new CreatedBase64Image
+                    {
+                        bytesBase64 = Convert.ToBase64String(i.Bytes),
+                        newPrompt = promptDetails.Prompt
+                    }).ToList(),
+                    ContentType = images.First().ContentType,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ApiType,
+                    CreateTotalMs = sw.ElapsedMilliseconds,
+                };
+            }
+            catch (Exception ex)
+            {
+                _stats.LocalFlux2ErrorCount++;
+                Logger.Log($"{promptDetails} Local Flux2 error: {ex.Message}");
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    ImageGenerator = ApiType,
+                    CreateTotalMs = sw.ElapsedMilliseconds,
+                };
+            }
+            finally
+            {
+                _semaphore.Release();
+            }
+        }
+
+        private JObject LoadApiWorkflow(string workflowPath)
+        {
+            var root = JObject.Parse(File.ReadAllText(workflowPath));
+            if (root["prompt"] is JObject promptObject)
+            {
+                return (JObject)promptObject.DeepClone();
+            }
+            if (LooksLikeApiPrompt(root))
+            {
+                return (JObject)root.DeepClone();
+            }
+            if (root["nodes"] is JArray)
+            {
+                throw new InvalidOperationException(
+                    "The configured ComfyUI workflow looks like UI format. Use ComfyUI's \"Save (API Format)\" export for LocalFlux2WorkflowPath.");
+            }
+
+            throw new InvalidOperationException(
+                "The configured ComfyUI workflow is not an API-format prompt JSON object.");
+        }
+
+        private static bool LooksLikeApiPrompt(JObject root)
+        {
+            return root.Properties().Any(p =>
+                p.Value is JObject node &&
+                node["class_type"] != null &&
+                node["inputs"] is JObject);
+        }
+
+        private void PatchWorkflow(JObject workflow, string prompt)
+        {
+            ApplyPromptText(workflow, prompt);
+            ApplyImageSize(workflow, _settings.LocalFlux2Width, _settings.LocalFlux2Height);
+            ApplySeedAndSamplerSettings(workflow);
+            ApplyFilenamePrefix(workflow);
+
+            ApplyNamedInput(workflow, _settings.LocalFlux2ModelName, ModelInputNames, IsModelLoaderNode);
+            ApplyNamedInput(workflow, _settings.LocalFlux2TextEncoderName, TextEncoderInputNames, IsTextEncoderLoaderNode);
+            ApplyNamedInput(workflow, _settings.LocalFlux2VaeName, VaeInputNames, IsVaeLoaderNode);
+
+            ApplyExplicitOverrides(workflow);
+        }
+
+        private void ApplyPromptText(JObject workflow, string prompt)
+        {
+            if (!string.IsNullOrWhiteSpace(_settings.LocalFlux2PositivePromptNodeId))
+            {
+                SetNodeInput(workflow, _settings.LocalFlux2PositivePromptNodeId, "text", prompt);
+            }
+            else
+            {
+                var positive = WorkflowNodes(workflow)
+                    .FirstOrDefault(n => HasInput(n.Node, "text") && IsTextEncodeNode(n.Node) && !LooksNegative(n.Node));
+                if (positive.Node != null)
+                {
+                    SetInput(positive.Node, "text", prompt);
+                }
+                else
+                {
+                    throw new InvalidOperationException(
+                        "Could not find a positive text prompt node in the ComfyUI workflow. Set LocalFlux2PositivePromptNodeId in settings.json.");
+                }
+            }
+
+            if (!string.IsNullOrWhiteSpace(_settings.LocalFlux2NegativePrompt))
+            {
+                if (!string.IsNullOrWhiteSpace(_settings.LocalFlux2NegativePromptNodeId))
+                {
+                    SetNodeInput(workflow, _settings.LocalFlux2NegativePromptNodeId, "text", _settings.LocalFlux2NegativePrompt);
+                }
+                else
+                {
+                    var negative = WorkflowNodes(workflow)
+                        .FirstOrDefault(n => HasInput(n.Node, "text") && IsTextEncodeNode(n.Node) && LooksNegative(n.Node));
+                    if (negative.Node != null)
+                    {
+                        SetInput(negative.Node, "text", _settings.LocalFlux2NegativePrompt);
+                    }
+                }
+            }
+        }
+
+        private static void ApplyImageSize(JObject workflow, int width, int height)
+        {
+            foreach (var (_, node) in WorkflowNodes(workflow))
+            {
+                if (HasInput(node, "width")) SetInput(node, "width", width);
+                if (HasInput(node, "height")) SetInput(node, "height", height);
+            }
+        }
+
+        private void ApplySeedAndSamplerSettings(JObject workflow)
+        {
+            var seed = _settings.LocalFlux2Seed ?? RandomNumberGenerator.GetInt32(1, int.MaxValue);
+            foreach (var (_, node) in WorkflowNodes(workflow))
+            {
+                if (HasInput(node, "seed")) SetInput(node, "seed", seed);
+                if (HasInput(node, "noise_seed")) SetInput(node, "noise_seed", seed);
+                if (HasInput(node, "steps")) SetInput(node, "steps", _settings.LocalFlux2Steps);
+
+                if (_settings.LocalFlux2Guidance > 0)
+                {
+                    if (HasInput(node, "guidance")) SetInput(node, "guidance", _settings.LocalFlux2Guidance);
+                    if (HasInput(node, "cfg")) SetInput(node, "cfg", _settings.LocalFlux2Guidance);
+                }
+            }
+        }
+
+        private void ApplyFilenamePrefix(JObject workflow)
+        {
+            var prefix = $"MultiImageClient/local_flux2_{DateTime.UtcNow:yyyyMMdd_HHmmss}";
+            foreach (var (_, node) in WorkflowNodes(workflow))
+            {
+                if (HasInput(node, "filename_prefix")) SetInput(node, "filename_prefix", prefix);
+            }
+        }
+
+        private static void ApplyNamedInput(
+            JObject workflow,
+            string value,
+            IEnumerable<string> inputNames,
+            Func<JObject, bool> nodePredicate)
+        {
+            if (string.IsNullOrWhiteSpace(value)) return;
+
+            var names = inputNames.ToHashSet(StringComparer.OrdinalIgnoreCase);
+            foreach (var (_, node) in WorkflowNodes(workflow))
+            {
+                if (!nodePredicate(node)) continue;
+                var inputs = node["inputs"] as JObject;
+                if (inputs == null) continue;
+
+                foreach (var prop in inputs.Properties().ToList())
+                {
+                    if (names.Contains(prop.Name))
+                    {
+                        inputs[prop.Name] = value;
+                    }
+                }
+            }
+        }
+
+        private void ApplyExplicitOverrides(JObject workflow)
+        {
+            var overrides = _settings.LocalFlux2WorkflowInputOverrides;
+            if (overrides == null) return;
+
+            foreach (var nodeOverride in overrides)
+            {
+                if (string.IsNullOrWhiteSpace(nodeOverride.Key)) continue;
+                if (workflow[nodeOverride.Key] is not JObject node || node["inputs"] is not JObject inputs)
+                {
+                    throw new InvalidOperationException(
+                        $"LocalFlux2WorkflowInputOverrides references missing node id '{nodeOverride.Key}'.");
+                }
+
+                foreach (var inputOverride in nodeOverride.Value ?? new Dictionary<string, JToken>())
+                {
+                    inputs[inputOverride.Key] = inputOverride.Value?.DeepClone() ?? JValue.CreateNull();
+                }
+            }
+        }
+
+        private async Task<string> QueuePromptAsync(JObject workflow)
+        {
+            var body = new JObject
+            {
+                ["prompt"] = workflow,
+                ["client_id"] = Guid.NewGuid().ToString("N")
+            };
+            using var content = new StringContent(body.ToString(Formatting.None), Encoding.UTF8, "application/json");
+            using var response = await _httpClient.PostAsync($"{_endpoint}/prompt", content);
+            var responseText = await response.Content.ReadAsStringAsync();
+            if (!response.IsSuccessStatusCode)
+            {
+                throw new HttpRequestException($"ComfyUI /prompt failed: {(int)response.StatusCode} {response.ReasonPhrase}: {responseText}");
+            }
+
+            var parsed = JObject.Parse(responseText);
+            var promptId = parsed["prompt_id"]?.Value<string>();
+            if (string.IsNullOrWhiteSpace(promptId))
+            {
+                throw new InvalidOperationException($"ComfyUI /prompt did not return prompt_id: {responseText}");
+            }
+            return promptId;
+        }
+
+        private async Task<JObject> WaitForHistoryAsync(string promptId)
+        {
+            var timeout = _settings.LocalFlux2TimeoutSeconds <= 0 ? 900 : _settings.LocalFlux2TimeoutSeconds;
+            var deadline = DateTime.UtcNow.AddSeconds(timeout);
+            var pollDelay = TimeSpan.FromSeconds(1);
+
+            while (DateTime.UtcNow < deadline)
+            {
+                using var response = await _httpClient.GetAsync($"{_endpoint}/history/{Uri.EscapeDataString(promptId)}");
+                var responseText = await response.Content.ReadAsStringAsync();
+                if (!response.IsSuccessStatusCode)
+                {
+                    throw new HttpRequestException($"ComfyUI /history failed: {(int)response.StatusCode} {response.ReasonPhrase}: {responseText}");
+                }
+
+                var historyRoot = string.IsNullOrWhiteSpace(responseText)
+                    ? new JObject()
+                    : JObject.Parse(responseText);
+                if (historyRoot[promptId] is JObject item)
+                {
+                    var completed = item["status"]?["completed"]?.Value<bool>() == true;
+                    if (completed)
+                    {
+                        var status = item["status"]?["status_str"]?.Value<string>();
+                        if (!string.IsNullOrWhiteSpace(status) && !status.Equals("success", StringComparison.OrdinalIgnoreCase))
+                        {
+                            throw new InvalidOperationException($"ComfyUI workflow failed with status '{status}': {ExtractHistoryError(item)}");
+                        }
+                        return item;
+                    }
+                }
+
+                await Task.Delay(pollDelay);
+            }
+
+            throw new TimeoutException($"Timed out waiting {timeout}s for ComfyUI prompt {promptId}.");
+        }
+
+        private async Task<List<DownloadedImage>> DownloadOutputImagesAsync(JObject historyItem)
+        {
+            var results = new List<DownloadedImage>();
+            if (historyItem["outputs"] is not JObject outputs)
+            {
+                return results;
+            }
+
+            foreach (var output in outputs.Properties())
+            {
+                if (output.Value is not JObject outputObject) continue;
+                if (outputObject["images"] is not JArray images) continue;
+
+                foreach (var imageToken in images.OfType<JObject>())
+                {
+                    var filename = imageToken["filename"]?.Value<string>();
+                    if (string.IsNullOrWhiteSpace(filename)) continue;
+
+                    var type = imageToken["type"]?.Value<string>() ?? "output";
+                    var subfolder = imageToken["subfolder"]?.Value<string>() ?? "";
+                    var url = BuildViewUrl(filename, type, subfolder);
+
+                    using var response = await _httpClient.GetAsync(url);
+                    var bytes = await response.Content.ReadAsByteArrayAsync();
+                    if (!response.IsSuccessStatusCode)
+                    {
+                        var body = Encoding.UTF8.GetString(bytes);
+                        throw new HttpRequestException($"ComfyUI /view failed: {(int)response.StatusCode} {response.ReasonPhrase}: {body}");
+                    }
+                    if (bytes.Length == 0)
+                    {
+                        throw new InvalidOperationException($"ComfyUI /view returned empty bytes for {filename}.");
+                    }
+
+                    results.Add(new DownloadedImage
+                    {
+                        Bytes = bytes,
+                        ContentType = response.Content.Headers.ContentType?.MediaType ?? "image/png"
+                    });
+                }
+            }
+
+            return results;
+        }
+
+        private string BuildViewUrl(string filename, string type, string subfolder)
+        {
+            var parts = new List<string>
+            {
+                $"filename={Uri.EscapeDataString(filename)}",
+                $"type={Uri.EscapeDataString(type)}"
+            };
+            if (!string.IsNullOrEmpty(subfolder))
+            {
+                parts.Add($"subfolder={Uri.EscapeDataString(subfolder)}");
+            }
+
+            return $"{_endpoint}/view?{string.Join("&", parts)}";
+        }
+
+        private static IEnumerable<(string Id, JObject Node)> WorkflowNodes(JObject workflow)
+        {
+            foreach (var property in workflow.Properties())
+            {
+                if (property.Value is JObject node && node["inputs"] is JObject)
+                {
+                    yield return (property.Name, node);
+                }
+            }
+        }
+
+        private static bool IsTextEncodeNode(JObject node)
+        {
+            var classType = NodeClass(node);
+            return classType.Contains("TextEncode", StringComparison.OrdinalIgnoreCase)
+                || classType.Contains("CLIPTextEncode", StringComparison.OrdinalIgnoreCase)
+                || classType.Contains("Conditioning", StringComparison.OrdinalIgnoreCase);
+        }
+
+        private static bool IsModelLoaderNode(JObject node)
+        {
+            var classType = NodeClass(node);
+            return classType.Contains("Loader", StringComparison.OrdinalIgnoreCase)
+                && (classType.Contains("UNET", StringComparison.OrdinalIgnoreCase)
+                    || classType.Contains("Unet", StringComparison.OrdinalIgnoreCase)
+                    || classType.Contains("Checkpoint", StringComparison.OrdinalIgnoreCase)
+                    || classType.Contains("Diffusion", StringComparison.OrdinalIgnoreCase)
+                    || classType.Contains("GGUF", StringComparison.OrdinalIgnoreCase));
+        }
+
+        private static bool IsTextEncoderLoaderNode(JObject node)
+        {
+            var classType = NodeClass(node);
+            return classType.Contains("Loader", StringComparison.OrdinalIgnoreCase)
+                && (classType.Contains("CLIP", StringComparison.OrdinalIgnoreCase)
+                    || classType.Contains("TextEncoder", StringComparison.OrdinalIgnoreCase)
+                    || classType.Contains("DualCLIP", StringComparison.OrdinalIgnoreCase)
+                    || classType.Contains("TripleCLIP", StringComparison.OrdinalIgnoreCase)
+                    || classType.Contains("GGUF", StringComparison.OrdinalIgnoreCase));
+        }
+
+        private static bool IsVaeLoaderNode(JObject node)
+        {
+            return NodeClass(node).Contains("VAE", StringComparison.OrdinalIgnoreCase)
+                && NodeClass(node).Contains("Loader", StringComparison.OrdinalIgnoreCase);
+        }
+
+        private static bool LooksNegative(JObject node)
+        {
+            var title = node["_meta"]?["title"]?.Value<string>() ?? "";
+            var text = node["inputs"]?["text"]?.Value<string>() ?? "";
+            return title.Contains("negative", StringComparison.OrdinalIgnoreCase)
+                || text.Contains("negative", StringComparison.OrdinalIgnoreCase);
+        }
+
+        private static string NodeClass(JObject node)
+        {
+            return node["class_type"]?.Value<string>() ?? "";
+        }
+
+        private static bool HasInput(JObject node, string inputName)
+        {
+            return node["inputs"] is JObject inputs && inputs.Property(inputName) != null;
+        }
+
+        private static void SetNodeInput(JObject workflow, string nodeId, string inputName, JToken value)
+        {
+            if (workflow[nodeId] is not JObject node || node["inputs"] is not JObject)
+            {
+                throw new InvalidOperationException($"ComfyUI workflow does not contain node id '{nodeId}'.");
+            }
+            SetInput(node, inputName, value);
+        }
+
+        private static void SetInput(JObject node, string inputName, JToken value)
+        {
+            if (node["inputs"] is not JObject inputs)
+            {
+                throw new InvalidOperationException("ComfyUI workflow node is missing an inputs object.");
+            }
+            inputs[inputName] = value;
+        }
+
+        private static string NormalizeEndpoint(string endpoint)
+        {
+            if (string.IsNullOrWhiteSpace(endpoint))
+            {
+                endpoint = "http://127.0.0.1:8188";
+            }
+            return endpoint.Trim().TrimEnd('/');
+        }
+
+        private static void EnsureEndpointAllowed(string endpoint, bool allowRemote)
+        {
+            if (!Uri.TryCreate(endpoint, UriKind.Absolute, out var uri))
+            {
+                throw new InvalidOperationException($"LocalFlux2ComfyEndpoint is not a valid absolute URL: {endpoint}");
+            }
+            if (allowRemote) return;
+
+            var host = uri.Host;
+            var local = host.Equals("localhost", StringComparison.OrdinalIgnoreCase)
+                || host.Equals("127.0.0.1")
+                || host.Equals("::1")
+                || host.Equals("[::1]");
+            if (!local)
+            {
+                throw new InvalidOperationException(
+                    $"Refusing to send local Flux2 prompts to non-local ComfyUI endpoint '{endpoint}'. Set LocalFlux2AllowRemoteEndpoint=true only for a trusted LAN host.");
+            }
+        }
+
+        private static string EndpointHostLabel(string endpoint)
+        {
+            return Uri.TryCreate(endpoint, UriKind.Absolute, out var uri)
+                ? $"{uri.Host}:{uri.Port}"
+                : endpoint;
+        }
+
+        private static string ExtractHistoryError(JObject historyItem)
+        {
+            var messages = historyItem["status"]?["messages"] as JArray;
+            if (messages == null) return "(no ComfyUI error details)";
+
+            foreach (var message in messages.OfType<JArray>())
+            {
+                if (message.Count < 2) continue;
+                var kind = message[0]?.Value<string>() ?? "";
+                if (!kind.Contains("error", StringComparison.OrdinalIgnoreCase)) continue;
+                return message[1]?.ToString(Formatting.None) ?? "(empty error)";
+            }
+            return "(no ComfyUI error details)";
+        }
+
+        private class DownloadedImage
+        {
+            public byte[] Bytes { get; set; }
+            public string ContentType { get; set; }
+        }
+    }
+}
diff --git a/MultiImageClient/Workflows/GeneratorGroups.cs b/MultiImageClient/Workflows/GeneratorGroups.cs
index b5f94b0..2faa04f 100644
--- a/MultiImageClient/Workflows/GeneratorGroups.cs
+++ b/MultiImageClient/Workflows/GeneratorGroups.cs
@@ -92,6 +92,7 @@ public IEnumerable<IImageGenerator> GetAll()
                 // BFLFlux2Max_Square(),
                 // BFLFlux2Flex_Square(),       // typography-tuned; enable when you have text prompts
                 // BFLFlux2Klein9b_Square(),    // sub-second cheap draft variant
+                // LocalFlux2Uncensored_Square(), // local ComfyUI Flux2 Klein + uncensored text encoder workflow
                 // RecraftV4ProRealisticPortrait(),
                 // RecraftAnyStyle(),           // legacy V3
                 // xAI Grok Imagine (launched 2026-01-28). Pro is 3.5x the price
@@ -334,6 +335,9 @@ private BFLGenerator BFLFlux2Klein9b_Square() =>
             new BFLGenerator(ImageGeneratorApiType.BFLFlux2Klein9b, _settings.BFLApiKey,
                 _concurrency, "1:1", false, 1024, 1024, _stats, "");
 
+        private LocalFlux2ComfyGenerator LocalFlux2Uncensored_Square() =>
+            new LocalFlux2ComfyGenerator(_settings, _concurrency, _stats, "local-flux2-uncensored");
+
         // ---------- Recraft ----------
 
         private RecraftGenerator RecraftAnyStyle() =>
diff --git a/MultiImageClient/Workflows/ReplWorkflow.cs b/MultiImageClient/Workflows/ReplWorkflow.cs
index 000da59..7ac6005 100644
--- a/MultiImageClient/Workflows/ReplWorkflow.cs
+++ b/MultiImageClient/Workflows/ReplWorkflow.cs
@@ -74,7 +74,7 @@ public class ReplWorkflow
         // Catalog of known per-name factories. ':gens add <name>' looks here.
         // Keep in sync with PrintHelp()'s generator list.
         private static readonly string[] KnownGenerators =
-            { "gpt2", "grok", "grokpro", "dalle3", "ideogram", "recraft", "bfl", "google", "googlepro", "imagen4" };
+            { "gpt2", "grok", "grokpro", "dalle3", "ideogram", "recraft", "bfl", "flux2local", "google", "googlepro", "imagen4" };
 
         private class InFlight
         {
@@ -743,6 +743,11 @@ private IImageGenerator BuildNamed(string name)
                         _settings.BFLApiKey, _concurrency, "1:1", false, 1024, 1024,
                         _stats, "repl");
 
+                case "flux2local":
+                case "localflux2":
+                case "flux2uncensored":
+                    return new LocalFlux2ComfyGenerator(_settings, _concurrency, _stats, "repl-local-flux2");
+
                 case "google":
                 case "nanobanana":
                     RequireKey(_settings.GoogleGeminiApiKey, "GoogleGeminiApiKey", "google");
@@ -880,7 +885,7 @@ private static void PrintHelp()
             Console.WriteLine("  :n N                     set gpt-image-2 images-per-call (default 1). N>10 requires confirmation.");
             Console.WriteLine("  :concurrency N           max prompts in flight (applies to subsequent dispatches)");
             Console.WriteLine("  :gens list               list active generators");
-            Console.WriteLine("  :gens add <name>         add a generator: gpt2 grok grokpro dalle3 ideogram recraft bfl google googlepro imagen4(dead 06-24)");
+            Console.WriteLine("  :gens add <name>         add a generator: gpt2 grok grokpro dalle3 ideogram recraft bfl flux2local google googlepro imagen4(dead 06-24)");
             Console.WriteLine("  :gens remove <name>      remove a generator from the active set");
             Console.WriteLine("  :gens reset              back to defaults (gpt2 + grok when XAIGrokApiKey is set)");
             Console.WriteLine("  :status                  list in-flight jobs");
diff --git a/MultiImageClient/promptTransformation/MultiClientRunStats.cs b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
index 418c678..530b8f8 100644
--- a/MultiImageClient/promptTransformation/MultiClientRunStats.cs
+++ b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
@@ -46,6 +46,10 @@ public class MultiClientRunStats
         public int GrokVideoGenerationSuccessCount { get; set; }
         public int GrokVideoGenerationErrorCount { get; set; }
 
+        public int LocalFlux2RequestCount { get; set; }
+        public int LocalFlux2SuccessCount { get; set; }
+        public int LocalFlux2ErrorCount { get; set; }
+
         public int GoogleRequestCount { get; set; }
         public int GoogleRefusedCount { get; set; }
 
@@ -112,6 +116,9 @@ public void PrintStats()
             if (GrokVideoGenerationRequestCount > 0 | GrokVideoGenerationErrorCount > 0 | GrokVideoGenerationSuccessCount > 0)
                 nonZeroStats.Add($"Grok Video: total:{GrokVideoGenerationRequestCount}, ok:{GrokVideoGenerationSuccessCount}, bad:{GrokVideoGenerationErrorCount} ");
 
+            if (LocalFlux2RequestCount > 0 | LocalFlux2ErrorCount > 0 | LocalFlux2SuccessCount > 0)
+                nonZeroStats.Add($"Local Flux2: total:{LocalFlux2RequestCount}, ok:{LocalFlux2SuccessCount}, bad:{LocalFlux2ErrorCount} ");
+
             var res = $"Stats: {string.Join(", ", nonZeroStats)}";
             Console.WriteLine(res);
         }
diff --git a/MultiImageClient/settings - Fill this in and rename it.json b/MultiImageClient/settings - Fill this in and rename it.json
index 6e66f76..1ecf145 100644
--- a/MultiImageClient/settings - Fill this in and rename it.json	
+++ b/MultiImageClient/settings - Fill this in and rename it.json	
@@ -20,5 +20,21 @@
   "EnableLogging": true,
   "AnnotationSide": "right",
   "FlatImageMirrorPath": "",
-  "TypedPromptsAppendFile": ""
+  "TypedPromptsAppendFile": "",
+  "LocalFlux2ComfyEndpoint": "http://127.0.0.1:8188",
+  "LocalFlux2AllowRemoteEndpoint": false,
+  "LocalFlux2WorkflowPath": "Optional: absolute path to a ComfyUI API-format workflow JSON for local Flux2 Klein + uncensored text encoder.",
+  "LocalFlux2PositivePromptNodeId": "Optional: ComfyUI node id whose text input receives the prompt. Leave blank to auto-detect.",
+  "LocalFlux2NegativePromptNodeId": "Optional: ComfyUI node id whose text input receives LocalFlux2NegativePrompt.",
+  "LocalFlux2NegativePrompt": "",
+  "LocalFlux2ModelName": "Optional: model filename to patch into loader nodes, e.g. flux2-klein-4b.gguf.",
+  "LocalFlux2TextEncoderName": "Optional: ablated text encoder filename to patch into text encoder loader nodes, e.g. qwen3-4b-abl-q4_0.gguf.",
+  "LocalFlux2VaeName": "Optional: VAE filename to patch into VAELoader nodes.",
+  "LocalFlux2Width": 1024,
+  "LocalFlux2Height": 1024,
+  "LocalFlux2Steps": 28,
+  "LocalFlux2Guidance": 1.0,
+  "LocalFlux2Seed": null,
+  "LocalFlux2TimeoutSeconds": 900,
+  "LocalFlux2WorkflowInputOverrides": {}
 }
diff --git a/tools/local-flux2-comfy/README.md b/tools/local-flux2-comfy/README.md
new file mode 100644
index 0000000..f2fd921
--- /dev/null
+++ b/tools/local-flux2-comfy/README.md
@@ -0,0 +1,82 @@
+# Local Flux2 Klein uncensored ComfyUI setup
+
+`flux2 uncensored` is not a separate hosted image API. The available path is a
+local Flux2 Klein ComfyUI workflow using an ablated/uncensored Qwen text encoder.
+The text encoder repository is gated on Hugging Face and must be accepted by the
+user before download.
+
+## Start ComfyUI
+
+From the repo root:
+
+```bash
+tools/local-flux2-comfy/setup_local_flux2_comfyui.sh
+```
+
+The script:
+
+- clones or updates ComfyUI under `$HOME/ComfyUI` by default;
+- creates a Python virtual environment and installs ComfyUI requirements;
+- installs ComfyUI-Manager and ComfyUI-GGUF by default;
+- binds ComfyUI to `127.0.0.1:8188` unless overridden;
+- does not download the gated uncensored text encoder unless explicitly asked.
+
+Useful environment variables:
+
+```bash
+COMFYUI_DIR="$HOME/ComfyUI"                 # install location
+COMFYUI_HOST=127.0.0.1                      # keep local by default
+COMFYUI_PORT=8188
+DOWNLOAD_UNCENSORED_ENCODER=1               # after accepting Hugging Face terms
+HF_TOKEN=hf_...                             # if your Hugging Face CLI is not already logged in
+FLUX2_MODEL_REPO=... FLUX2_MODEL_FILE=...   # optional model download
+FLUX2_VAE_REPO=... FLUX2_VAE_FILE=...       # optional VAE download
+START_SERVER=0                              # install only, do not launch ComfyUI
+```
+
+## Workflow requirements
+
+Build the Flux2 Klein workflow in ComfyUI, point it at the ablated text encoder,
+then export it with **Save (API Format)**. Set:
+
+```json
+"LocalFlux2ComfyEndpoint": "http://127.0.0.1:8188",
+"LocalFlux2WorkflowPath": "/home/you/ComfyUI/user/default/workflows/flux2_uncensored_api.json",
+"LocalFlux2TextEncoderName": "qwen3-4b-abl-q4_0.gguf",
+"LocalFlux2Width": 1024,
+"LocalFlux2Height": 1024,
+"LocalFlux2Steps": 28,
+"LocalFlux2Guidance": 1.0
+```
+
+If auto-detection cannot find the right prompt node, set
+`LocalFlux2PositivePromptNodeId`. If a custom loader uses nonstandard input
+names, use `LocalFlux2WorkflowInputOverrides` with exact ComfyUI node ids:
+
+```json
+"LocalFlux2WorkflowInputOverrides": {
+  "12": {
+    "unet_name": "flux2-klein-4b.gguf"
+  },
+  "13": {
+    "clip_name": "qwen3-4b-abl-q4_0.gguf"
+  }
+}
+```
+
+## Use from MultiImageClient
+
+In REPL mode:
+
+```text
+:gens add flux2local
+```
+
+For batch mode, uncomment `LocalFlux2Uncensored_Square()` in
+`GeneratorGroups.GetAll()`.
+
+The generator submits prompts to ComfyUI `/prompt`, polls `/history/{prompt_id}`,
+downloads completed `/view` images, and sends the bytes through the existing
+MultiImageClient save/annotation pipeline. By default it refuses non-local
+ComfyUI endpoints; set `LocalFlux2AllowRemoteEndpoint` only for a trusted LAN
+host.
diff --git a/tools/local-flux2-comfy/setup_local_flux2_comfyui.sh b/tools/local-flux2-comfy/setup_local_flux2_comfyui.sh
new file mode 100755
index 0000000..5f29737
--- /dev/null
+++ b/tools/local-flux2-comfy/setup_local_flux2_comfyui.sh
@@ -0,0 +1,131 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+COMFYUI_DIR="${COMFYUI_DIR:-$HOME/ComfyUI}"
+COMFYUI_HOST="${COMFYUI_HOST:-127.0.0.1}"
+COMFYUI_PORT="${COMFYUI_PORT:-8188}"
+PYTHON_BIN="${PYTHON_BIN:-python3}"
+INSTALL_CUSTOM_NODES="${INSTALL_CUSTOM_NODES:-1}"
+DOWNLOAD_UNCENSORED_ENCODER="${DOWNLOAD_UNCENSORED_ENCODER:-0}"
+START_SERVER="${START_SERVER:-1}"
+
+UNCENSORED_ENCODER_REPO="${UNCENSORED_ENCODER_REPO:-Cordux/flux2-klein-4B-uncensored-text-encoder}"
+UNCENSORED_ENCODER_FILE="${UNCENSORED_ENCODER_FILE:-qwen3-4b-abl-q4_0.gguf}"
+
+FLUX2_MODEL_REPO="${FLUX2_MODEL_REPO:-}"
+FLUX2_MODEL_FILE="${FLUX2_MODEL_FILE:-}"
+FLUX2_VAE_REPO="${FLUX2_VAE_REPO:-}"
+FLUX2_VAE_FILE="${FLUX2_VAE_FILE:-}"
+HF_TOKEN="${HF_TOKEN:-}"
+
+need_cmd() {
+    if ! command -v "$1" >/dev/null 2>&1; then
+        echo "Missing required command: $1" >&2
+        exit 1
+    fi
+}
+
+clone_or_update() {
+    local repo="$1"
+    local dest="$2"
+    if [ -d "$dest/.git" ]; then
+        echo "Updating $dest"
+        git -C "$dest" pull --ff-only
+    else
+        echo "Cloning $repo -> $dest"
+        git clone "$repo" "$dest"
+    fi
+}
+
+install_hf_cli() {
+    if ! command -v huggingface-cli >/dev/null 2>&1; then
+        python -m pip install -U huggingface_hub
+    fi
+}
+
+download_hf_file() {
+    local repo="$1"
+    local file="$2"
+    local dest="$3"
+    if [ -z "$repo" ] || [ -z "$file" ]; then
+        return
+    fi
+
+    mkdir -p "$dest"
+    if [ -f "$dest/$file" ]; then
+        echo "Already present: $dest/$file"
+        return
+    fi
+
+    install_hf_cli
+    echo "Downloading $repo/$file -> $dest"
+    if [ -n "$HF_TOKEN" ]; then
+        huggingface-cli download "$repo" "$file" --local-dir "$dest" --token "$HF_TOKEN"
+    else
+        huggingface-cli download "$repo" "$file" --local-dir "$dest"
+    fi
+}
+
+need_cmd git
+need_cmd "$PYTHON_BIN"
+
+if [ "$COMFYUI_HOST" != "127.0.0.1" ] && [ "$COMFYUI_HOST" != "localhost" ]; then
+    echo "Warning: COMFYUI_HOST=$COMFYUI_HOST exposes ComfyUI beyond localhost. Only do this on a trusted network." >&2
+fi
+
+clone_or_update "https://github.com/comfyanonymous/ComfyUI.git" "$COMFYUI_DIR"
+
+cd "$COMFYUI_DIR"
+"$PYTHON_BIN" -m venv .venv
+# shellcheck source=/dev/null
+source .venv/bin/activate
+python -m pip install -U pip wheel
+python -m pip install -r requirements.txt
+
+if [ "$INSTALL_CUSTOM_NODES" = "1" ]; then
+    mkdir -p custom_nodes
+    clone_or_update "https://github.com/ltdrdata/ComfyUI-Manager.git" "custom_nodes/ComfyUI-Manager"
+    clone_or_update "https://github.com/city96/ComfyUI-GGUF.git" "custom_nodes/ComfyUI-GGUF"
+    if [ -f "custom_nodes/ComfyUI-GGUF/requirements.txt" ]; then
+        python -m pip install -r "custom_nodes/ComfyUI-GGUF/requirements.txt"
+    fi
+fi
+
+mkdir -p models/diffusion_models models/text_encoders models/vae user/default/workflows
+
+if [ "$DOWNLOAD_UNCENSORED_ENCODER" = "1" ]; then
+    echo "Downloading the uncensored text encoder requires that you have accepted the model terms on Hugging Face."
+    download_hf_file "$UNCENSORED_ENCODER_REPO" "$UNCENSORED_ENCODER_FILE" "$COMFYUI_DIR/models/text_encoders"
+else
+    echo "Skipping uncensored text encoder download."
+    echo "Set DOWNLOAD_UNCENSORED_ENCODER=1 after accepting the Hugging Face model terms to download $UNCENSORED_ENCODER_FILE."
+fi
+
+download_hf_file "$FLUX2_MODEL_REPO" "$FLUX2_MODEL_FILE" "$COMFYUI_DIR/models/diffusion_models"
+download_hf_file "$FLUX2_VAE_REPO" "$FLUX2_VAE_FILE" "$COMFYUI_DIR/models/vae"
+
+cat <<EOF
+
+ComfyUI setup is ready.
+
+Endpoint:
+  http://$COMFYUI_HOST:$COMFYUI_PORT
+
+MultiImageClient settings:
+  "LocalFlux2ComfyEndpoint": "http://$COMFYUI_HOST:$COMFYUI_PORT",
+  "LocalFlux2WorkflowPath": "$COMFYUI_DIR/user/default/workflows/flux2_uncensored_api.json",
+  "LocalFlux2TextEncoderName": "$UNCENSORED_ENCODER_FILE"
+
+Next:
+  1. Build/load a Flux2 Klein workflow in ComfyUI.
+  2. Select the ablated text encoder in the workflow.
+  3. Export with "Save (API Format)" to:
+     $COMFYUI_DIR/user/default/workflows/flux2_uncensored_api.json
+  4. In MultiImageClient REPL, run:
+     :gens add flux2local
+
+EOF
+
+if [ "$START_SERVER" = "1" ]; then
+    exec python main.py --listen "$COMFYUI_HOST" --port "$COMFYUI_PORT" --disable-auto-launch
+fi

From 11596b6e9d6b204aae76acc7ec0979c6efb34f0e Mon Sep 17 00:00:00 2001
From: Cursor Agent <cursoragent@cursor.com>
Date: Sun, 28 Jun 2026 18:57:23 +0000
Subject: [PATCH 76/78] normalize local flux2 setup files

Co-authored-by: Ernest French <ernestfrench@gmail.com>
---
 .gitattributes                                |   1 +
 ...settings - Fill this in and rename it.json |  80 +++---
 .../setup_local_flux2_comfyui.sh              | 262 +++++++++---------
 3 files changed, 172 insertions(+), 171 deletions(-)
 create mode 100644 .gitattributes

diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000..dfdb8b7
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1 @@
+*.sh text eol=lf
diff --git a/MultiImageClient/settings - Fill this in and rename it.json b/MultiImageClient/settings - Fill this in and rename it.json
index 1ecf145..796ed9a 100644
--- a/MultiImageClient/settings - Fill this in and rename it.json	
+++ b/MultiImageClient/settings - Fill this in and rename it.json	
@@ -1,40 +1,40 @@
-{
-  "PromptFiles": [
-    "REQUIRED: absolute path to a prompts .txt file (one prompt per line). You can list more than one file.",
-    "Example second file — or remove this array entry."
-  ],
-  "LoadPromptsFrom": "",
-  "IdeogramApiKey": "Optional: Ideogram API key from https://ideogram.ai/manage-api (paid). Required for Ideogram v2/v2a/v3 generators.",
-  "OpenAIApiKey": "Optional: OpenAI key from https://platform.openai.com/api-keys (paid). Required for DALL-E 3 and GPT Image 1 / GPT Image 1 Mini generators.",
-  "BFLApiKey": "Optional: Black Forest Labs (Flux) key from https://api.bfl.ai/ (paid). Required for BFL v1.1 and BFL v1.1 Ultra generators.",
-  "AnthropicApiKey": "Optional: Anthropic key from https://console.anthropic.com/settings/keys (paid). Required for Claude-based prompt rewriting steps.",
-  "RecraftApiKey": "Optional: Recraft API key from https://www.recraft.ai/ (paid). Required for Recraft generators.",
-  "GoogleGeminiApiKey": "Optional: Google Gemini (AI Studio) key from https://ai.google.dev/gemini-api/docs/api-key. Used by the Gemini image (NanoBanana) generator and as an AI Studio fallback for Imagen.",
-  "GoogleCloudApiKey": "Optional: Google Cloud / Vertex AI API key (alternative to service-account auth).",
-  "GoogleCloudLocation": "REQUIRED for Imagen 4: Google Cloud region, e.g. us-central1. See https://cloud.google.com/vertex-ai/docs/general/locations",
-  "GoogleCloudProjectId": "REQUIRED for Imagen 4: Google Cloud project id from https://console.cloud.google.com/",
-  "GoogleServiceAccountKeyPath": "REQUIRED for Imagen 4: absolute path to a service-account JSON key file (IAM & Admin > Service Accounts > Keys).",
-  "ImageDownloadBaseFolder": "D:\\proj\\IdeogramAPI\\ideogramSaves",
-  "LogFilePath": "D:\\proj\\IdeogramAPI\\ideogram.log",
-  "SaveJsonLog": true,
-  "EnableLogging": true,
-  "AnnotationSide": "right",
-  "FlatImageMirrorPath": "",
-  "TypedPromptsAppendFile": "",
-  "LocalFlux2ComfyEndpoint": "http://127.0.0.1:8188",
-  "LocalFlux2AllowRemoteEndpoint": false,
-  "LocalFlux2WorkflowPath": "Optional: absolute path to a ComfyUI API-format workflow JSON for local Flux2 Klein + uncensored text encoder.",
-  "LocalFlux2PositivePromptNodeId": "Optional: ComfyUI node id whose text input receives the prompt. Leave blank to auto-detect.",
-  "LocalFlux2NegativePromptNodeId": "Optional: ComfyUI node id whose text input receives LocalFlux2NegativePrompt.",
-  "LocalFlux2NegativePrompt": "",
-  "LocalFlux2ModelName": "Optional: model filename to patch into loader nodes, e.g. flux2-klein-4b.gguf.",
-  "LocalFlux2TextEncoderName": "Optional: ablated text encoder filename to patch into text encoder loader nodes, e.g. qwen3-4b-abl-q4_0.gguf.",
-  "LocalFlux2VaeName": "Optional: VAE filename to patch into VAELoader nodes.",
-  "LocalFlux2Width": 1024,
-  "LocalFlux2Height": 1024,
-  "LocalFlux2Steps": 28,
-  "LocalFlux2Guidance": 1.0,
-  "LocalFlux2Seed": null,
-  "LocalFlux2TimeoutSeconds": 900,
-  "LocalFlux2WorkflowInputOverrides": {}
-}
+{
+  "PromptFiles": [
+    "REQUIRED: absolute path to a prompts .txt file (one prompt per line). You can list more than one file.",
+    "Example second file - or remove this array entry."
+  ],
+  "LoadPromptsFrom": "",
+  "IdeogramApiKey": "Optional: Ideogram API key from https://ideogram.ai/manage-api (paid). Required for Ideogram v2/v2a/v3 generators.",
+  "OpenAIApiKey": "Optional: OpenAI key from https://platform.openai.com/api-keys (paid). Required for DALL-E 3 and GPT Image 1 / GPT Image 1 Mini generators.",
+  "BFLApiKey": "Optional: Black Forest Labs (Flux) key from https://api.bfl.ai/ (paid). Required for BFL v1.1 and BFL v1.1 Ultra generators.",
+  "AnthropicApiKey": "Optional: Anthropic key from https://console.anthropic.com/settings/keys (paid). Required for Claude-based prompt rewriting steps.",
+  "RecraftApiKey": "Optional: Recraft API key from https://www.recraft.ai/ (paid). Required for Recraft generators.",
+  "GoogleGeminiApiKey": "Optional: Google Gemini (AI Studio) key from https://ai.google.dev/gemini-api/docs/api-key. Used by the Gemini image (NanoBanana) generator and as an AI Studio fallback for Imagen.",
+  "GoogleCloudApiKey": "Optional: Google Cloud / Vertex AI API key (alternative to service-account auth).",
+  "GoogleCloudLocation": "REQUIRED for Imagen 4: Google Cloud region, e.g. us-central1. See https://cloud.google.com/vertex-ai/docs/general/locations",
+  "GoogleCloudProjectId": "REQUIRED for Imagen 4: Google Cloud project id from https://console.cloud.google.com/",
+  "GoogleServiceAccountKeyPath": "REQUIRED for Imagen 4: absolute path to a service-account JSON key file (IAM & Admin > Service Accounts > Keys).",
+  "ImageDownloadBaseFolder": "D:\\proj\\IdeogramAPI\\ideogramSaves",
+  "LogFilePath": "D:\\proj\\IdeogramAPI\\ideogram.log",
+  "SaveJsonLog": true,
+  "EnableLogging": true,
+  "AnnotationSide": "right",
+  "FlatImageMirrorPath": "",
+  "TypedPromptsAppendFile": "",
+  "LocalFlux2ComfyEndpoint": "http://127.0.0.1:8188",
+  "LocalFlux2AllowRemoteEndpoint": false,
+  "LocalFlux2WorkflowPath": "Optional: absolute path to a ComfyUI API-format workflow JSON for local Flux2 Klein + uncensored text encoder.",
+  "LocalFlux2PositivePromptNodeId": "Optional: ComfyUI node id whose text input receives the prompt. Leave blank to auto-detect.",
+  "LocalFlux2NegativePromptNodeId": "Optional: ComfyUI node id whose text input receives LocalFlux2NegativePrompt.",
+  "LocalFlux2NegativePrompt": "",
+  "LocalFlux2ModelName": "Optional: model filename to patch into loader nodes, e.g. flux2-klein-4b.gguf.",
+  "LocalFlux2TextEncoderName": "Optional: ablated text encoder filename to patch into text encoder loader nodes, e.g. qwen3-4b-abl-q4_0.gguf.",
+  "LocalFlux2VaeName": "Optional: VAE filename to patch into VAELoader nodes.",
+  "LocalFlux2Width": 1024,
+  "LocalFlux2Height": 1024,
+  "LocalFlux2Steps": 28,
+  "LocalFlux2Guidance": 1.0,
+  "LocalFlux2Seed": null,
+  "LocalFlux2TimeoutSeconds": 900,
+  "LocalFlux2WorkflowInputOverrides": {}
+}
diff --git a/tools/local-flux2-comfy/setup_local_flux2_comfyui.sh b/tools/local-flux2-comfy/setup_local_flux2_comfyui.sh
index 5f29737..52101ac 100755
--- a/tools/local-flux2-comfy/setup_local_flux2_comfyui.sh
+++ b/tools/local-flux2-comfy/setup_local_flux2_comfyui.sh
@@ -1,131 +1,131 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-COMFYUI_DIR="${COMFYUI_DIR:-$HOME/ComfyUI}"
-COMFYUI_HOST="${COMFYUI_HOST:-127.0.0.1}"
-COMFYUI_PORT="${COMFYUI_PORT:-8188}"
-PYTHON_BIN="${PYTHON_BIN:-python3}"
-INSTALL_CUSTOM_NODES="${INSTALL_CUSTOM_NODES:-1}"
-DOWNLOAD_UNCENSORED_ENCODER="${DOWNLOAD_UNCENSORED_ENCODER:-0}"
-START_SERVER="${START_SERVER:-1}"
-
-UNCENSORED_ENCODER_REPO="${UNCENSORED_ENCODER_REPO:-Cordux/flux2-klein-4B-uncensored-text-encoder}"
-UNCENSORED_ENCODER_FILE="${UNCENSORED_ENCODER_FILE:-qwen3-4b-abl-q4_0.gguf}"
-
-FLUX2_MODEL_REPO="${FLUX2_MODEL_REPO:-}"
-FLUX2_MODEL_FILE="${FLUX2_MODEL_FILE:-}"
-FLUX2_VAE_REPO="${FLUX2_VAE_REPO:-}"
-FLUX2_VAE_FILE="${FLUX2_VAE_FILE:-}"
-HF_TOKEN="${HF_TOKEN:-}"
-
-need_cmd() {
-    if ! command -v "$1" >/dev/null 2>&1; then
-        echo "Missing required command: $1" >&2
-        exit 1
-    fi
-}
-
-clone_or_update() {
-    local repo="$1"
-    local dest="$2"
-    if [ -d "$dest/.git" ]; then
-        echo "Updating $dest"
-        git -C "$dest" pull --ff-only
-    else
-        echo "Cloning $repo -> $dest"
-        git clone "$repo" "$dest"
-    fi
-}
-
-install_hf_cli() {
-    if ! command -v huggingface-cli >/dev/null 2>&1; then
-        python -m pip install -U huggingface_hub
-    fi
-}
-
-download_hf_file() {
-    local repo="$1"
-    local file="$2"
-    local dest="$3"
-    if [ -z "$repo" ] || [ -z "$file" ]; then
-        return
-    fi
-
-    mkdir -p "$dest"
-    if [ -f "$dest/$file" ]; then
-        echo "Already present: $dest/$file"
-        return
-    fi
-
-    install_hf_cli
-    echo "Downloading $repo/$file -> $dest"
-    if [ -n "$HF_TOKEN" ]; then
-        huggingface-cli download "$repo" "$file" --local-dir "$dest" --token "$HF_TOKEN"
-    else
-        huggingface-cli download "$repo" "$file" --local-dir "$dest"
-    fi
-}
-
-need_cmd git
-need_cmd "$PYTHON_BIN"
-
-if [ "$COMFYUI_HOST" != "127.0.0.1" ] && [ "$COMFYUI_HOST" != "localhost" ]; then
-    echo "Warning: COMFYUI_HOST=$COMFYUI_HOST exposes ComfyUI beyond localhost. Only do this on a trusted network." >&2
-fi
-
-clone_or_update "https://github.com/comfyanonymous/ComfyUI.git" "$COMFYUI_DIR"
-
-cd "$COMFYUI_DIR"
-"$PYTHON_BIN" -m venv .venv
-# shellcheck source=/dev/null
-source .venv/bin/activate
-python -m pip install -U pip wheel
-python -m pip install -r requirements.txt
-
-if [ "$INSTALL_CUSTOM_NODES" = "1" ]; then
-    mkdir -p custom_nodes
-    clone_or_update "https://github.com/ltdrdata/ComfyUI-Manager.git" "custom_nodes/ComfyUI-Manager"
-    clone_or_update "https://github.com/city96/ComfyUI-GGUF.git" "custom_nodes/ComfyUI-GGUF"
-    if [ -f "custom_nodes/ComfyUI-GGUF/requirements.txt" ]; then
-        python -m pip install -r "custom_nodes/ComfyUI-GGUF/requirements.txt"
-    fi
-fi
-
-mkdir -p models/diffusion_models models/text_encoders models/vae user/default/workflows
-
-if [ "$DOWNLOAD_UNCENSORED_ENCODER" = "1" ]; then
-    echo "Downloading the uncensored text encoder requires that you have accepted the model terms on Hugging Face."
-    download_hf_file "$UNCENSORED_ENCODER_REPO" "$UNCENSORED_ENCODER_FILE" "$COMFYUI_DIR/models/text_encoders"
-else
-    echo "Skipping uncensored text encoder download."
-    echo "Set DOWNLOAD_UNCENSORED_ENCODER=1 after accepting the Hugging Face model terms to download $UNCENSORED_ENCODER_FILE."
-fi
-
-download_hf_file "$FLUX2_MODEL_REPO" "$FLUX2_MODEL_FILE" "$COMFYUI_DIR/models/diffusion_models"
-download_hf_file "$FLUX2_VAE_REPO" "$FLUX2_VAE_FILE" "$COMFYUI_DIR/models/vae"
-
-cat <<EOF
-
-ComfyUI setup is ready.
-
-Endpoint:
-  http://$COMFYUI_HOST:$COMFYUI_PORT
-
-MultiImageClient settings:
-  "LocalFlux2ComfyEndpoint": "http://$COMFYUI_HOST:$COMFYUI_PORT",
-  "LocalFlux2WorkflowPath": "$COMFYUI_DIR/user/default/workflows/flux2_uncensored_api.json",
-  "LocalFlux2TextEncoderName": "$UNCENSORED_ENCODER_FILE"
-
-Next:
-  1. Build/load a Flux2 Klein workflow in ComfyUI.
-  2. Select the ablated text encoder in the workflow.
-  3. Export with "Save (API Format)" to:
-     $COMFYUI_DIR/user/default/workflows/flux2_uncensored_api.json
-  4. In MultiImageClient REPL, run:
-     :gens add flux2local
-
-EOF
-
-if [ "$START_SERVER" = "1" ]; then
-    exec python main.py --listen "$COMFYUI_HOST" --port "$COMFYUI_PORT" --disable-auto-launch
-fi
+#!/usr/bin/env bash
+set -euo pipefail
+
+COMFYUI_DIR="${COMFYUI_DIR:-$HOME/ComfyUI}"
+COMFYUI_HOST="${COMFYUI_HOST:-127.0.0.1}"
+COMFYUI_PORT="${COMFYUI_PORT:-8188}"
+PYTHON_BIN="${PYTHON_BIN:-python3}"
+INSTALL_CUSTOM_NODES="${INSTALL_CUSTOM_NODES:-1}"
+DOWNLOAD_UNCENSORED_ENCODER="${DOWNLOAD_UNCENSORED_ENCODER:-0}"
+START_SERVER="${START_SERVER:-1}"
+
+UNCENSORED_ENCODER_REPO="${UNCENSORED_ENCODER_REPO:-Cordux/flux2-klein-4B-uncensored-text-encoder}"
+UNCENSORED_ENCODER_FILE="${UNCENSORED_ENCODER_FILE:-qwen3-4b-abl-q4_0.gguf}"
+
+FLUX2_MODEL_REPO="${FLUX2_MODEL_REPO:-}"
+FLUX2_MODEL_FILE="${FLUX2_MODEL_FILE:-}"
+FLUX2_VAE_REPO="${FLUX2_VAE_REPO:-}"
+FLUX2_VAE_FILE="${FLUX2_VAE_FILE:-}"
+HF_TOKEN="${HF_TOKEN:-}"
+
+need_cmd() {
+    if ! command -v "$1" >/dev/null 2>&1; then
+        echo "Missing required command: $1" >&2
+        exit 1
+    fi
+}
+
+clone_or_update() {
+    local repo="$1"
+    local dest="$2"
+    if [ -d "$dest/.git" ]; then
+        echo "Updating $dest"
+        git -C "$dest" pull --ff-only
+    else
+        echo "Cloning $repo -> $dest"
+        git clone "$repo" "$dest"
+    fi
+}
+
+install_hf_cli() {
+    if ! command -v huggingface-cli >/dev/null 2>&1; then
+        python -m pip install -U huggingface_hub
+    fi
+}
+
+download_hf_file() {
+    local repo="$1"
+    local file="$2"
+    local dest="$3"
+    if [ -z "$repo" ] || [ -z "$file" ]; then
+        return
+    fi
+
+    mkdir -p "$dest"
+    if [ -f "$dest/$file" ]; then
+        echo "Already present: $dest/$file"
+        return
+    fi
+
+    install_hf_cli
+    echo "Downloading $repo/$file -> $dest"
+    if [ -n "$HF_TOKEN" ]; then
+        huggingface-cli download "$repo" "$file" --local-dir "$dest" --token "$HF_TOKEN"
+    else
+        huggingface-cli download "$repo" "$file" --local-dir "$dest"
+    fi
+}
+
+need_cmd git
+need_cmd "$PYTHON_BIN"
+
+if [ "$COMFYUI_HOST" != "127.0.0.1" ] && [ "$COMFYUI_HOST" != "localhost" ]; then
+    echo "Warning: COMFYUI_HOST=$COMFYUI_HOST exposes ComfyUI beyond localhost. Only do this on a trusted network." >&2
+fi
+
+clone_or_update "https://github.com/comfyanonymous/ComfyUI.git" "$COMFYUI_DIR"
+
+cd "$COMFYUI_DIR"
+"$PYTHON_BIN" -m venv .venv
+# shellcheck source=/dev/null
+source .venv/bin/activate
+python -m pip install -U pip wheel
+python -m pip install -r requirements.txt
+
+if [ "$INSTALL_CUSTOM_NODES" = "1" ]; then
+    mkdir -p custom_nodes
+    clone_or_update "https://github.com/ltdrdata/ComfyUI-Manager.git" "custom_nodes/ComfyUI-Manager"
+    clone_or_update "https://github.com/city96/ComfyUI-GGUF.git" "custom_nodes/ComfyUI-GGUF"
+    if [ -f "custom_nodes/ComfyUI-GGUF/requirements.txt" ]; then
+        python -m pip install -r "custom_nodes/ComfyUI-GGUF/requirements.txt"
+    fi
+fi
+
+mkdir -p models/diffusion_models models/text_encoders models/vae user/default/workflows
+
+if [ "$DOWNLOAD_UNCENSORED_ENCODER" = "1" ]; then
+    echo "Downloading the uncensored text encoder requires that you have accepted the model terms on Hugging Face."
+    download_hf_file "$UNCENSORED_ENCODER_REPO" "$UNCENSORED_ENCODER_FILE" "$COMFYUI_DIR/models/text_encoders"
+else
+    echo "Skipping uncensored text encoder download."
+    echo "Set DOWNLOAD_UNCENSORED_ENCODER=1 after accepting the Hugging Face model terms to download $UNCENSORED_ENCODER_FILE."
+fi
+
+download_hf_file "$FLUX2_MODEL_REPO" "$FLUX2_MODEL_FILE" "$COMFYUI_DIR/models/diffusion_models"
+download_hf_file "$FLUX2_VAE_REPO" "$FLUX2_VAE_FILE" "$COMFYUI_DIR/models/vae"
+
+cat <<EOF
+
+ComfyUI setup is ready.
+
+Endpoint:
+  http://$COMFYUI_HOST:$COMFYUI_PORT
+
+MultiImageClient settings:
+  "LocalFlux2ComfyEndpoint": "http://$COMFYUI_HOST:$COMFYUI_PORT",
+  "LocalFlux2WorkflowPath": "$COMFYUI_DIR/user/default/workflows/flux2_uncensored_api.json",
+  "LocalFlux2TextEncoderName": "$UNCENSORED_ENCODER_FILE"
+
+Next:
+  1. Build/load a Flux2 Klein workflow in ComfyUI.
+  2. Select the ablated text encoder in the workflow.
+  3. Export with "Save (API Format)" to:
+     $COMFYUI_DIR/user/default/workflows/flux2_uncensored_api.json
+  4. In MultiImageClient REPL, run:
+     :gens add flux2local
+
+EOF
+
+if [ "$START_SERVER" = "1" ]; then
+    exec python main.py --listen "$COMFYUI_HOST" --port "$COMFYUI_PORT" --disable-auto-launch
+fi

From 38b504d78f0b0d6652ccb869fbdaf687ba00ba07 Mon Sep 17 00:00:00 2001
From: Cursor Agent <cursoragent@cursor.com>
Date: Sun, 28 Jun 2026 19:19:24 +0000
Subject: [PATCH 77/78] add direct image provider generators

Co-authored-by: Ernest French <ernestfrench@gmail.com>
---
 ImageGenerationClasses/Settings.cs            |  45 ++
 .../Enums/GeneratorApiTypeExtensions.cs       |   8 +
 .../Enums/ImageGeneratorApiType.cs            |  10 +
 .../DirectImageApiGenerator.cs                | 756 ++++++++++++++++++
 MultiImageClient/Workflows/GeneratorGroups.cs |  42 +
 MultiImageClient/Workflows/ReplWorkflow.cs    |  49 +-
 .../MultiClientRunStats.cs                    |   7 +
 ...settings - Fill this in and rename it.json |  40 +-
 8 files changed, 953 insertions(+), 4 deletions(-)
 create mode 100644 MultiImageClient/ImageGenerators/DirectImageApiGenerator.cs

diff --git a/ImageGenerationClasses/Settings.cs b/ImageGenerationClasses/Settings.cs
index 2c7b532..d545bc9 100644
--- a/ImageGenerationClasses/Settings.cs
+++ b/ImageGenerationClasses/Settings.cs
@@ -88,6 +88,51 @@ public class Settings
         public Dictionary<string, Dictionary<string, JToken>> LocalFlux2WorkflowInputOverrides { get; set; } =
             new Dictionary<string, Dictionary<string, JToken>>();
 
+        public string ByteDanceArkApiKey { get; set; } = "";
+        public string ByteDanceArkBaseUrl { get; set; } = "https://ark.ap-southeast.bytepluses.com/api/v3";
+        public string SeedreamModel { get; set; } = "seedream-4-5-251128";
+        public string SeedreamSize { get; set; } = "2K";
+        public bool SeedreamWatermark { get; set; } = false;
+
+        public string MiniMaxApiKey { get; set; } = "";
+        public string HailuoModel { get; set; } = "image-01";
+        public string HailuoAspectRatio { get; set; } = "1:1";
+        public string HailuoResponseFormat { get; set; } = "base64";
+
+        public string KreaApiKey { get; set; } = "";
+        public string KreaModelVariant { get; set; } = "medium";
+        public string KreaAspectRatio { get; set; } = "1:1";
+        public string KreaResolution { get; set; } = "1K";
+        public string KreaCreativity { get; set; } = "medium";
+
+        public string BriaApiKey { get; set; } = "";
+        public string BriaBaseUrl { get; set; } = "https://engine.prod.bria-api.com/v2";
+        public string BriaAspectRatio { get; set; } = "1:1";
+        public string BriaResolution { get; set; } = "1MP";
+        public int BriaNumResults { get; set; } = 1;
+
+        public string MagnificApiKey { get; set; } = "";
+        public string MagnificAspectRatio { get; set; } = "square_1_1";
+        public string MagnificModel { get; set; } = "realism";
+        public string MagnificResolution { get; set; } = "1K";
+
+        public string LumaApiKey { get; set; } = "";
+        public string LumaPhotonModel { get; set; } = "photon-1";
+        public string LumaAspectRatio { get; set; } = "1:1";
+
+        public string RunwayApiKey { get; set; } = "";
+        public string RunwayApiVersion { get; set; } = "2024-11-06";
+        public string RunwayImageModel { get; set; } = "gen4_image";
+        public string RunwayImageRatio { get; set; } = "1024:1024";
+
+        public string StabilityApiKey { get; set; } = "";
+        public string StabilityModel { get; set; } = "sd3.5-large";
+        public string StabilityAspectRatio { get; set; } = "1:1";
+        public string StabilityOutputFormat { get; set; } = "png";
+        public string StabilityNegativePrompt { get; set; } = "";
+
+        public int DirectImageApiTimeoutSeconds { get; set; } = 600;
+
         public static Settings LoadFromFile(string filePath)
         {
             if (!File.Exists(filePath))
diff --git a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
index e0cb8c9..f04038a 100644
--- a/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
+++ b/MultiImageClient/Enums/GeneratorApiTypeExtensions.cs
@@ -41,6 +41,14 @@ public static string GetFileExtension(this ImageGeneratorApiType generator)
                 ImageGeneratorApiType.GrokImaginePro => ".png",
                 ImageGeneratorApiType.GrokImagineVideo => ".mp4",
                 ImageGeneratorApiType.LocalFlux2Uncensored => ".png",
+                ImageGeneratorApiType.ByteDanceSeedream => ".png",
+                ImageGeneratorApiType.MiniMaxHailuoImage => ".png",
+                ImageGeneratorApiType.KreaImage => ".png",
+                ImageGeneratorApiType.BriaImage => ".png",
+                ImageGeneratorApiType.MagnificMystic => ".png",
+                ImageGeneratorApiType.LumaPhoton => ".png",
+                ImageGeneratorApiType.RunwayGen4Image => ".png",
+                ImageGeneratorApiType.StabilityAi => ".png",
                 _ => throw new ArgumentException("Unknown image generator type while picking file extension:", nameof(generator))
             };
         }
diff --git a/MultiImageClient/Enums/ImageGeneratorApiType.cs b/MultiImageClient/Enums/ImageGeneratorApiType.cs
index 26045db..0575096 100644
--- a/MultiImageClient/Enums/ImageGeneratorApiType.cs
+++ b/MultiImageClient/Enums/ImageGeneratorApiType.cs
@@ -64,5 +64,15 @@ public enum ImageGeneratorApiType
         // uncensored/ablated text encoder. No hosted API cost; requires a
         // running local ComfyUI server and API-format workflow JSON.
         LocalFlux2Uncensored = 30,
+
+        // Direct first-party image APIs added after the aggregator pass.
+        ByteDanceSeedream = 31,
+        MiniMaxHailuoImage = 32,
+        KreaImage = 33,
+        BriaImage = 34,
+        MagnificMystic = 35,
+        LumaPhoton = 36,
+        RunwayGen4Image = 37,
+        StabilityAi = 38,
     }
 }
diff --git a/MultiImageClient/ImageGenerators/DirectImageApiGenerator.cs b/MultiImageClient/ImageGenerators/DirectImageApiGenerator.cs
new file mode 100644
index 0000000..7f4b4c8
--- /dev/null
+++ b/MultiImageClient/ImageGenerators/DirectImageApiGenerator.cs
@@ -0,0 +1,756 @@
+#nullable enable
+using Newtonsoft.Json;
+using Newtonsoft.Json.Linq;
+
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.Linq;
+using System.Net.Http;
+using System.Text;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace MultiImageClient
+{
+    public enum DirectImageProvider
+    {
+        ByteDanceSeedream,
+        MiniMaxHailuo,
+        Krea,
+        Bria,
+        Magnific,
+        LumaPhoton,
+        Runway,
+        StabilityAi,
+    }
+
+    public class DirectImageApiGenerator : IImageGenerator
+    {
+        private readonly DirectImageProvider _provider;
+        private readonly Settings _settings;
+        private readonly MultiClientRunStats _stats;
+        private readonly SemaphoreSlim _semaphore;
+        private readonly HttpClient _httpClient;
+        private readonly string _name;
+
+        public ImageGeneratorApiType ApiType => ApiTypeFor(_provider);
+
+        public DirectImageApiGenerator(
+            DirectImageProvider provider,
+            Settings settings,
+            int maxConcurrency,
+            MultiClientRunStats stats,
+            string name = "")
+        {
+            _provider = provider;
+            _settings = settings;
+            _stats = stats;
+            _name = name ?? string.Empty;
+            _semaphore = new SemaphoreSlim(Math.Max(1, maxConcurrency));
+            var timeout = settings.DirectImageApiTimeoutSeconds <= 0 ? 600 : settings.DirectImageApiTimeoutSeconds;
+            _httpClient = new HttpClient
+            {
+                Timeout = TimeSpan.FromSeconds(timeout + 30)
+            };
+        }
+
+        public string GetFilenamePart(PromptDetails pd)
+        {
+            var model = ModelLabel().Replace('/', '_').Replace(':', 'x');
+            var size = SizeLabel().Replace(':', 'x').Replace('/', '_');
+            var suffix = string.IsNullOrWhiteSpace(_name) ? "" : $"_{_name}";
+            return $"{ApiType}_{model}_{size}{suffix}";
+        }
+
+        public List<string> GetRightParts()
+        {
+            var parts = new List<string>
+            {
+                ProviderLabel(),
+                ModelLabel(),
+                SizeLabel(),
+            };
+            if (!string.IsNullOrWhiteSpace(_name))
+            {
+                parts.Add(_name);
+            }
+            return parts;
+        }
+
+        public string GetGeneratorSpecPart()
+        {
+            if (!string.IsNullOrWhiteSpace(_name))
+            {
+                return _name;
+            }
+            return $"{ProviderLabel()} {ModelLabel()} {SizeLabel()}";
+        }
+
+        public decimal GetCost()
+        {
+            return _provider switch
+            {
+                DirectImageProvider.ByteDanceSeedream => 0.04m,
+                DirectImageProvider.MiniMaxHailuo => 0.03m,
+                DirectImageProvider.Krea => 0.04m,
+                DirectImageProvider.Bria => 0.05m,
+                DirectImageProvider.Magnific => 0.08m,
+                DirectImageProvider.LumaPhoton => _settings.LumaPhotonModel == "photon-flash-1" ? 0.004m : 0.015m,
+                DirectImageProvider.Runway => _settings.RunwayImageModel == "gen4_image_turbo" ? 0.02m : 0.08m,
+                DirectImageProvider.StabilityAi => _settings.StabilityModel.Contains("turbo", StringComparison.OrdinalIgnoreCase) ? 0.04m : 0.08m,
+                _ => 0m,
+            };
+        }
+
+        public async Task<TaskProcessResult> ProcessPromptAsync(IImageGenerator generator, PromptDetails promptDetails)
+        {
+            await _semaphore.WaitAsync();
+            var sw = Stopwatch.StartNew();
+            _stats.DirectImageGenerationRequestCount++;
+
+            try
+            {
+                var submit = await SubmitAsync(promptDetails.Prompt ?? string.Empty);
+                var completed = submit;
+                if (submit.PollUrl != null)
+                {
+                    completed = await PollAsync(submit);
+                }
+
+                var urls = ExtractImageUrls(completed.Json);
+                var base64Images = ExtractBase64Images(completed.Json);
+
+                if (completed.BinaryImageBytes != null && completed.BinaryImageBytes.Length > 0)
+                {
+                    base64Images.Add(Convert.ToBase64String(completed.BinaryImageBytes));
+                }
+
+                if (urls.Count == 0 && base64Images.Count == 0)
+                {
+                    throw new InvalidOperationException(
+                        $"{ProviderLabel()} completed but no image URL or base64 image was found in response: {Truncate(completed.RawBody, 700)}");
+                }
+
+                _stats.DirectImageGenerationSuccessCount++;
+                sw.Stop();
+
+                if (urls.Count > 0)
+                {
+                    var firstUrl = urls[0];
+                    var contentType = await TryGetContentTypeAsync(firstUrl);
+                    Logger.Log($"\t<- {ProviderLabel()} OK url in {sw.ElapsedMilliseconds} ms");
+                    return new TaskProcessResult
+                    {
+                        IsSuccess = true,
+                        Url = firstUrl,
+                        ContentType = contentType,
+                        PromptDetails = promptDetails,
+                        ImageGenerator = ApiType,
+                        ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                        CreateTotalMs = sw.ElapsedMilliseconds,
+                    };
+                }
+
+                Logger.Log($"\t<- {ProviderLabel()} OK {base64Images.Count} inline image(s) in {sw.ElapsedMilliseconds} ms");
+                return new TaskProcessResult
+                {
+                    IsSuccess = true,
+                    Base64ImageDatas = base64Images.Select(b => new CreatedBase64Image
+                    {
+                        bytesBase64 = b,
+                        newPrompt = promptDetails.Prompt,
+                    }).ToList(),
+                    ContentType = completed.ContentType ?? ContentTypeFromOutputFormat(),
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ApiType,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    CreateTotalMs = sw.ElapsedMilliseconds,
+                };
+            }
+            catch (Exception ex)
+            {
+                sw.Stop();
+                _stats.DirectImageGenerationErrorCount++;
+                Logger.Log($"\t<- {ProviderLabel()} FAIL: {ex.Message}");
+                return new TaskProcessResult
+                {
+                    IsSuccess = false,
+                    ErrorMessage = ex.Message,
+                    PromptDetails = promptDetails,
+                    ImageGenerator = ApiType,
+                    ImageGeneratorDescription = generator.GetGeneratorSpecPart(),
+                    CreateTotalMs = sw.ElapsedMilliseconds,
+                };
+            }
+            finally
+            {
+                _semaphore.Release();
+            }
+        }
+
+        private async Task<ProviderResult> SubmitAsync(string prompt)
+        {
+            return _provider switch
+            {
+                DirectImageProvider.ByteDanceSeedream => await SubmitSeedreamAsync(prompt),
+                DirectImageProvider.MiniMaxHailuo => await SubmitHailuoAsync(prompt),
+                DirectImageProvider.Krea => await SubmitKreaAsync(prompt),
+                DirectImageProvider.Bria => await SubmitBriaAsync(prompt),
+                DirectImageProvider.Magnific => await SubmitMagnificAsync(prompt),
+                DirectImageProvider.LumaPhoton => await SubmitLumaAsync(prompt),
+                DirectImageProvider.Runway => await SubmitRunwayAsync(prompt),
+                DirectImageProvider.StabilityAi => await SubmitStabilityAsync(prompt),
+                _ => throw new ArgumentOutOfRangeException(nameof(_provider), _provider, null),
+            };
+        }
+
+        private async Task<ProviderResult> SubmitSeedreamAsync(string prompt)
+        {
+            Require(_settings.ByteDanceArkApiKey, "ByteDanceArkApiKey");
+            var body = new JObject
+            {
+                ["model"] = _settings.SeedreamModel,
+                ["prompt"] = prompt,
+                ["size"] = _settings.SeedreamSize,
+                ["watermark"] = _settings.SeedreamWatermark,
+                ["response_format"] = "url",
+            };
+            var url = $"{TrimSlash(_settings.ByteDanceArkBaseUrl)}/images/generations";
+            var request = JsonPost(url, body);
+            request.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", _settings.ByteDanceArkApiKey);
+            return await SendJsonAsync(request);
+        }
+
+        private async Task<ProviderResult> SubmitHailuoAsync(string prompt)
+        {
+            Require(_settings.MiniMaxApiKey, "MiniMaxApiKey");
+            var body = new JObject
+            {
+                ["model"] = _settings.HailuoModel,
+                ["prompt"] = prompt,
+                ["aspect_ratio"] = _settings.HailuoAspectRatio,
+                ["response_format"] = string.IsNullOrWhiteSpace(_settings.HailuoResponseFormat) ? "base64" : _settings.HailuoResponseFormat,
+            };
+            var request = JsonPost("https://api.minimax.io/v1/image_generation", body);
+            request.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", _settings.MiniMaxApiKey);
+            return await SendJsonAsync(request);
+        }
+
+        private async Task<ProviderResult> SubmitKreaAsync(string prompt)
+        {
+            Require(_settings.KreaApiKey, "KreaApiKey");
+            var variant = string.Equals(_settings.KreaModelVariant, "large", StringComparison.OrdinalIgnoreCase)
+                ? "large"
+                : "medium";
+            var body = new JObject
+            {
+                ["prompt"] = prompt,
+                ["aspect_ratio"] = _settings.KreaAspectRatio,
+                ["resolution"] = _settings.KreaResolution,
+                ["creativity"] = _settings.KreaCreativity,
+            };
+            var request = JsonPost($"https://api.krea.ai/generate/image/krea/krea-2/{variant}", body);
+            request.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", _settings.KreaApiKey);
+            var result = await SendJsonAsync(request);
+            var jobId = StringAt(result.Json, "job_id") ?? StringAt(result.Json, "id");
+            if (string.IsNullOrWhiteSpace(jobId))
+            {
+                throw new InvalidOperationException($"Krea did not return job_id: {Truncate(result.RawBody, 500)}");
+            }
+            result.PollUrl = $"https://api.krea.ai/jobs/{Uri.EscapeDataString(jobId)}";
+            return result;
+        }
+
+        private async Task<ProviderResult> SubmitBriaAsync(string prompt)
+        {
+            Require(_settings.BriaApiKey, "BriaApiKey");
+            var body = new JObject
+            {
+                ["prompt"] = prompt,
+                ["aspect_ratio"] = _settings.BriaAspectRatio,
+                ["resolution"] = _settings.BriaResolution,
+                ["num_results"] = Math.Max(1, _settings.BriaNumResults),
+            };
+            var request = JsonPost($"{TrimSlash(_settings.BriaBaseUrl)}/image/generate", body);
+            request.Headers.Add("api_token", _settings.BriaApiKey);
+            request.Headers.UserAgent.ParseAdd("MultiImageClient/1.0");
+            var result = await SendJsonAsync(request);
+            result.PollUrl = StringAt(result.Json, "status_url");
+            return result;
+        }
+
+        private async Task<ProviderResult> SubmitMagnificAsync(string prompt)
+        {
+            Require(_settings.MagnificApiKey, "MagnificApiKey");
+            var body = new JObject
+            {
+                ["prompt"] = prompt,
+                ["aspect_ratio"] = _settings.MagnificAspectRatio,
+                ["model"] = _settings.MagnificModel,
+                ["resolution"] = _settings.MagnificResolution,
+            };
+            var request = JsonPost("https://api.magnific.com/v1/ai/mystic", body);
+            request.Headers.Add("x-magnific-api-key", _settings.MagnificApiKey);
+            var result = await SendJsonAsync(request);
+            var taskId = StringAt(result.Json, "task_id") ?? StringAt(result.Json, "taskId") ?? StringAt(result.Json, "id");
+            if (!string.IsNullOrWhiteSpace(taskId))
+            {
+                result.PollUrl = $"https://api.magnific.com/v1/ai/mystic/{Uri.EscapeDataString(taskId)}";
+            }
+            return result;
+        }
+
+        private async Task<ProviderResult> SubmitLumaAsync(string prompt)
+        {
+            Require(_settings.LumaApiKey, "LumaApiKey");
+            var body = new JObject
+            {
+                ["prompt"] = prompt,
+                ["model"] = _settings.LumaPhotonModel,
+                ["aspect_ratio"] = _settings.LumaAspectRatio,
+            };
+            var request = JsonPost("https://api.lumalabs.ai/dream-machine/v1/generations/image", body);
+            request.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", _settings.LumaApiKey);
+            var result = await SendJsonAsync(request);
+            var id = StringAt(result.Json, "id");
+            if (string.IsNullOrWhiteSpace(id))
+            {
+                throw new InvalidOperationException($"Luma did not return id: {Truncate(result.RawBody, 500)}");
+            }
+            result.PollUrl = $"https://api.lumalabs.ai/dream-machine/v1/generations/{Uri.EscapeDataString(id)}";
+            return result;
+        }
+
+        private async Task<ProviderResult> SubmitRunwayAsync(string prompt)
+        {
+            Require(_settings.RunwayApiKey, "RunwayApiKey");
+            var body = new JObject
+            {
+                ["model"] = _settings.RunwayImageModel,
+                ["promptText"] = prompt,
+                ["ratio"] = _settings.RunwayImageRatio,
+            };
+            var request = JsonPost("https://api.dev.runwayml.com/v1/text_to_image", body);
+            request.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", _settings.RunwayApiKey);
+            request.Headers.Add("X-Runway-Version", _settings.RunwayApiVersion);
+            var result = await SendJsonAsync(request);
+            var id = StringAt(result.Json, "id");
+            if (string.IsNullOrWhiteSpace(id))
+            {
+                throw new InvalidOperationException($"Runway did not return id: {Truncate(result.RawBody, 500)}");
+            }
+            result.PollUrl = $"https://api.dev.runwayml.com/v1/tasks/{Uri.EscapeDataString(id)}";
+            return result;
+        }
+
+        private async Task<ProviderResult> SubmitStabilityAsync(string prompt)
+        {
+            Require(_settings.StabilityApiKey, "StabilityApiKey");
+            var form = new MultipartFormDataContent
+            {
+                { new StringContent(prompt), "prompt" },
+                { new StringContent("text-to-image"), "mode" },
+                { new StringContent(_settings.StabilityModel), "model" },
+                { new StringContent(_settings.StabilityAspectRatio), "aspect_ratio" },
+                { new StringContent(_settings.StabilityOutputFormat), "output_format" },
+            };
+            if (!string.IsNullOrWhiteSpace(_settings.StabilityNegativePrompt))
+            {
+                form.Add(new StringContent(_settings.StabilityNegativePrompt), "negative_prompt");
+            }
+
+            var request = new HttpRequestMessage(HttpMethod.Post, "https://api.stability.ai/v2beta/stable-image/generate/sd3")
+            {
+                Content = form
+            };
+            request.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", _settings.StabilityApiKey);
+            request.Headers.Accept.ParseAdd("image/*");
+
+            using var response = await _httpClient.SendAsync(request);
+            var bytes = await response.Content.ReadAsByteArrayAsync();
+            if (!response.IsSuccessStatusCode)
+            {
+                throw new HttpRequestException($"Stability AI failed {(int)response.StatusCode} {response.ReasonPhrase}: {BytesToErrorString(bytes)}");
+            }
+
+            var contentType = response.Content.Headers.ContentType?.MediaType ?? ContentTypeFromOutputFormat();
+            return new ProviderResult
+            {
+                Json = new JObject(),
+                RawBody = $"<binary {bytes.Length} bytes>",
+                BinaryImageBytes = bytes,
+                ContentType = contentType,
+            };
+        }
+
+        private async Task<ProviderResult> PollAsync(ProviderResult submit)
+        {
+            var deadline = DateTime.UtcNow.AddSeconds(_settings.DirectImageApiTimeoutSeconds <= 0 ? 600 : _settings.DirectImageApiTimeoutSeconds);
+            var delay = TimeSpan.FromSeconds(2);
+            var pollUrl = submit.PollUrl!;
+
+            while (DateTime.UtcNow < deadline)
+            {
+                var request = new HttpRequestMessage(HttpMethod.Get, pollUrl);
+                AddPollingHeaders(request);
+                var current = await SendJsonAsync(request);
+                var state = PollState(current.Json);
+                if (state == ProviderPollState.Completed)
+                {
+                    return current;
+                }
+                if (state == ProviderPollState.Failed)
+                {
+                    throw new InvalidOperationException($"{ProviderLabel()} generation failed: {Truncate(current.RawBody, 700)}");
+                }
+
+                await Task.Delay(delay);
+            }
+
+            throw new TimeoutException($"{ProviderLabel()} did not complete within {_settings.DirectImageApiTimeoutSeconds} seconds.");
+        }
+
+        private void AddPollingHeaders(HttpRequestMessage request)
+        {
+            switch (_provider)
+            {
+                case DirectImageProvider.Krea:
+                    request.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", _settings.KreaApiKey);
+                    break;
+                case DirectImageProvider.Bria:
+                    request.Headers.Add("api_token", _settings.BriaApiKey);
+                    request.Headers.UserAgent.ParseAdd("MultiImageClient/1.0");
+                    break;
+                case DirectImageProvider.Magnific:
+                    request.Headers.Add("x-magnific-api-key", _settings.MagnificApiKey);
+                    break;
+                case DirectImageProvider.LumaPhoton:
+                    request.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", _settings.LumaApiKey);
+                    break;
+                case DirectImageProvider.Runway:
+                    request.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", _settings.RunwayApiKey);
+                    request.Headers.Add("X-Runway-Version", _settings.RunwayApiVersion);
+                    break;
+            }
+        }
+
+        private ProviderPollState PollState(JObject json)
+        {
+            var status = StringAt(json, "status") ?? StringAt(json, "state");
+            if (string.IsNullOrWhiteSpace(status))
+            {
+                return HasImage(json) ? ProviderPollState.Completed : ProviderPollState.Pending;
+            }
+
+            status = status.Trim();
+            if (status.Equals("completed", StringComparison.OrdinalIgnoreCase) ||
+                status.Equals("complete", StringComparison.OrdinalIgnoreCase) ||
+                status.Equals("succeeded", StringComparison.OrdinalIgnoreCase) ||
+                status.Equals("success", StringComparison.OrdinalIgnoreCase) ||
+                status.Equals("done", StringComparison.OrdinalIgnoreCase) ||
+                status.Equals("SUCCEEDED", StringComparison.OrdinalIgnoreCase))
+            {
+                return ProviderPollState.Completed;
+            }
+
+            if (status.Equals("failed", StringComparison.OrdinalIgnoreCase) ||
+                status.Equals("failure", StringComparison.OrdinalIgnoreCase) ||
+                status.Equals("cancelled", StringComparison.OrdinalIgnoreCase) ||
+                status.Equals("canceled", StringComparison.OrdinalIgnoreCase) ||
+                status.Equals("FAILED", StringComparison.OrdinalIgnoreCase))
+            {
+                return ProviderPollState.Failed;
+            }
+
+            return ProviderPollState.Pending;
+        }
+
+        private async Task<ProviderResult> SendJsonAsync(HttpRequestMessage request)
+        {
+            using var response = await _httpClient.SendAsync(request);
+            var text = await response.Content.ReadAsStringAsync();
+            if (!response.IsSuccessStatusCode)
+            {
+                throw new HttpRequestException($"{ProviderLabel()} failed {(int)response.StatusCode} {response.ReasonPhrase}: {Truncate(text, 1000)}");
+            }
+            var json = string.IsNullOrWhiteSpace(text) ? new JObject() : JObject.Parse(text);
+            return new ProviderResult
+            {
+                Json = json,
+                RawBody = text,
+                ContentType = response.Content.Headers.ContentType?.MediaType,
+            };
+        }
+
+        private static HttpRequestMessage JsonPost(string url, JObject body)
+        {
+            return new HttpRequestMessage(HttpMethod.Post, url)
+            {
+                Content = new StringContent(
+                    JsonConvert.SerializeObject(body, new JsonSerializerSettings { NullValueHandling = NullValueHandling.Ignore }),
+                    Encoding.UTF8,
+                    "application/json")
+            };
+        }
+
+        private List<string> ExtractImageUrls(JObject json)
+        {
+            var urls = new List<string>();
+
+            if (_provider == DirectImageProvider.Krea && json["result"]?["urls"] is JArray kreaUrls)
+            {
+                urls.AddRange(kreaUrls.Values<string>().Where(IsHttpUrl));
+            }
+            if (_provider == DirectImageProvider.LumaPhoton)
+            {
+                var luma = json["assets"]?["image"]?.Value<string>();
+                if (IsHttpUrl(luma)) urls.Add(luma!);
+            }
+            if (_provider == DirectImageProvider.Runway && json["output"] is JArray output)
+            {
+                urls.AddRange(output.Values<string>().Where(IsHttpUrl));
+            }
+
+            foreach (var key in new[] { "url", "image_url", "imageUrl", "imageURL", "image" })
+            {
+                urls.AddRange(FindStringsByKey(json, key).Where(IsHttpUrl));
+            }
+
+            return urls.Distinct().ToList();
+        }
+
+        private static List<string> ExtractBase64Images(JObject json)
+        {
+            var images = new List<string>();
+            foreach (var key in new[] { "b64_json", "image_base64", "base64", "imageBase64", "image_base64_data" })
+            {
+                images.AddRange(FindStringsByKey(json, key).Where(LooksLikeBase64Image).Select(StripDataUriPrefix));
+            }
+
+            if (json["data"]?["image_base64"] is JArray minimaxArray)
+            {
+                images.AddRange(minimaxArray.Values<string>().Where(LooksLikeBase64Image).Select(StripDataUriPrefix));
+            }
+            if (json["data"]?["image_base64"] is JValue minimaxSingle)
+            {
+                var s = minimaxSingle.Value<string>();
+                if (LooksLikeBase64Image(s)) images.Add(StripDataUriPrefix(s!));
+            }
+
+            return images.Distinct().ToList();
+        }
+
+        private static IEnumerable<string> FindStringsByKey(JToken token, string key)
+        {
+            if (token is JObject obj)
+            {
+                foreach (var prop in obj.Properties())
+                {
+                    if (prop.Name.Equals(key, StringComparison.OrdinalIgnoreCase))
+                    {
+                        if (prop.Value.Type == JTokenType.String)
+                        {
+                            var value = prop.Value.Value<string>();
+                            if (!string.IsNullOrWhiteSpace(value)) yield return value!;
+                        }
+                        else if (prop.Value is JArray arr)
+                        {
+                            foreach (var value in arr.Values<string>())
+                            {
+                                if (!string.IsNullOrWhiteSpace(value)) yield return value!;
+                            }
+                        }
+                    }
+
+                    foreach (var nested in FindStringsByKey(prop.Value, key))
+                    {
+                        yield return nested;
+                    }
+                }
+            }
+            else if (token is JArray arr)
+            {
+                foreach (var child in arr)
+                {
+                    foreach (var nested in FindStringsByKey(child, key))
+                    {
+                        yield return nested;
+                    }
+                }
+            }
+        }
+
+        private bool HasImage(JObject json)
+        {
+            return ExtractImageUrls(json).Count > 0 || ExtractBase64Images(json).Count > 0;
+        }
+
+        private async Task<string?> TryGetContentTypeAsync(string url)
+        {
+            try
+            {
+                using var response = await _httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Head, url));
+                return response.Content.Headers.ContentType?.MediaType;
+            }
+            catch
+            {
+                return null;
+            }
+        }
+
+        private string ProviderLabel()
+        {
+            return _provider switch
+            {
+                DirectImageProvider.ByteDanceSeedream => "ByteDance Seedream",
+                DirectImageProvider.MiniMaxHailuo => "MiniMax Hailuo",
+                DirectImageProvider.Krea => "Krea",
+                DirectImageProvider.Bria => "BRIA",
+                DirectImageProvider.Magnific => "Magnific Mystic",
+                DirectImageProvider.LumaPhoton => "Luma Photon",
+                DirectImageProvider.Runway => "Runway Gen-4 Image",
+                DirectImageProvider.StabilityAi => "Stability AI",
+                _ => _provider.ToString(),
+            };
+        }
+
+        private string ModelLabel()
+        {
+            return _provider switch
+            {
+                DirectImageProvider.ByteDanceSeedream => _settings.SeedreamModel,
+                DirectImageProvider.MiniMaxHailuo => _settings.HailuoModel,
+                DirectImageProvider.Krea => $"krea-2-{_settings.KreaModelVariant}",
+                DirectImageProvider.Bria => "bria-fibo",
+                DirectImageProvider.Magnific => $"mystic-{_settings.MagnificModel}",
+                DirectImageProvider.LumaPhoton => _settings.LumaPhotonModel,
+                DirectImageProvider.Runway => _settings.RunwayImageModel,
+                DirectImageProvider.StabilityAi => _settings.StabilityModel,
+                _ => _provider.ToString(),
+            };
+        }
+
+        private string SizeLabel()
+        {
+            return _provider switch
+            {
+                DirectImageProvider.ByteDanceSeedream => _settings.SeedreamSize,
+                DirectImageProvider.MiniMaxHailuo => _settings.HailuoAspectRatio,
+                DirectImageProvider.Krea => $"{_settings.KreaAspectRatio} {_settings.KreaResolution}",
+                DirectImageProvider.Bria => $"{_settings.BriaAspectRatio} {_settings.BriaResolution}",
+                DirectImageProvider.Magnific => $"{_settings.MagnificAspectRatio} {_settings.MagnificResolution}",
+                DirectImageProvider.LumaPhoton => _settings.LumaAspectRatio,
+                DirectImageProvider.Runway => _settings.RunwayImageRatio,
+                DirectImageProvider.StabilityAi => _settings.StabilityAspectRatio,
+                _ => "",
+            };
+        }
+
+        private string ContentTypeFromOutputFormat()
+        {
+            var format = _provider == DirectImageProvider.StabilityAi ? _settings.StabilityOutputFormat : "png";
+            return format?.ToLowerInvariant() switch
+            {
+                "jpg" => "image/jpeg",
+                "jpeg" => "image/jpeg",
+                "webp" => "image/webp",
+                _ => "image/png",
+            };
+        }
+
+        private static ImageGeneratorApiType ApiTypeFor(DirectImageProvider provider)
+        {
+            return provider switch
+            {
+                DirectImageProvider.ByteDanceSeedream => ImageGeneratorApiType.ByteDanceSeedream,
+                DirectImageProvider.MiniMaxHailuo => ImageGeneratorApiType.MiniMaxHailuoImage,
+                DirectImageProvider.Krea => ImageGeneratorApiType.KreaImage,
+                DirectImageProvider.Bria => ImageGeneratorApiType.BriaImage,
+                DirectImageProvider.Magnific => ImageGeneratorApiType.MagnificMystic,
+                DirectImageProvider.LumaPhoton => ImageGeneratorApiType.LumaPhoton,
+                DirectImageProvider.Runway => ImageGeneratorApiType.RunwayGen4Image,
+                DirectImageProvider.StabilityAi => ImageGeneratorApiType.StabilityAi,
+                _ => throw new ArgumentOutOfRangeException(nameof(provider), provider, null),
+            };
+        }
+
+        private static string? StringAt(JObject json, string key)
+        {
+            return FindStringsByKey(json, key).FirstOrDefault();
+        }
+
+        private static bool IsHttpUrl(string? value)
+        {
+            return !string.IsNullOrWhiteSpace(value)
+                && (value.StartsWith("http://", StringComparison.OrdinalIgnoreCase)
+                    || value.StartsWith("https://", StringComparison.OrdinalIgnoreCase));
+        }
+
+        private static bool LooksLikeBase64Image(string? value)
+        {
+            if (string.IsNullOrWhiteSpace(value)) return false;
+            if (value.StartsWith("data:image/", StringComparison.OrdinalIgnoreCase)) return true;
+            return value.Length > 100 && !value.Contains("://") && value.All(c =>
+                char.IsLetterOrDigit(c) || c == '+' || c == '/' || c == '=' || c == '\r' || c == '\n');
+        }
+
+        private static string StripDataUriPrefix(string value)
+        {
+            var comma = value.IndexOf(',');
+            if (value.StartsWith("data:image/", StringComparison.OrdinalIgnoreCase) && comma >= 0)
+            {
+                return value.Substring(comma + 1);
+            }
+            return value;
+        }
+
+        private static string TrimSlash(string value)
+        {
+            return (value ?? string.Empty).Trim().TrimEnd('/');
+        }
+
+        private static void Require(string value, string settingName)
+        {
+            if (string.IsNullOrWhiteSpace(value))
+            {
+                throw new InvalidOperationException($"Settings.{settingName} is not set.");
+            }
+        }
+
+        private static string Truncate(string? value, int max)
+        {
+            if (string.IsNullOrEmpty(value)) return string.Empty;
+            return value.Length <= max ? value : value.Substring(0, max) + "...";
+        }
+
+        private static string BytesToErrorString(byte[] bytes)
+        {
+            if (bytes.Length == 0) return "";
+            try
+            {
+                return Truncate(Encoding.UTF8.GetString(bytes), 1000);
+            }
+            catch
+            {
+                return $"<binary {bytes.Length} bytes>";
+            }
+        }
+
+        private enum ProviderPollState
+        {
+            Pending,
+            Completed,
+            Failed,
+        }
+
+        private class ProviderResult
+        {
+            public JObject Json { get; set; } = new JObject();
+            public string RawBody { get; set; } = "";
+            public string? PollUrl { get; set; }
+            public byte[]? BinaryImageBytes { get; set; }
+            public string? ContentType { get; set; }
+        }
+    }
+}
diff --git a/MultiImageClient/Workflows/GeneratorGroups.cs b/MultiImageClient/Workflows/GeneratorGroups.cs
index 2faa04f..925195d 100644
--- a/MultiImageClient/Workflows/GeneratorGroups.cs
+++ b/MultiImageClient/Workflows/GeneratorGroups.cs
@@ -93,6 +93,14 @@ public IEnumerable<IImageGenerator> GetAll()
                 // BFLFlux2Flex_Square(),       // typography-tuned; enable when you have text prompts
                 // BFLFlux2Klein9b_Square(),    // sub-second cheap draft variant
                 // LocalFlux2Uncensored_Square(), // local ComfyUI Flux2 Klein + uncensored text encoder workflow
+                // SeedreamDirect_Square(),      // ByteDance ModelArk Seedream 4.5/5.0
+                // HailuoDirect_Square(),        // MiniMax image-01 / image-01-live
+                // KreaDirect_Square(),          // Krea 2 medium/large
+                // BriaDirect_Square(),          // BRIA FIBO direct API
+                // MagnificMysticDirect_Square(),
+                // LumaPhotonDirect_Square(),
+                // RunwayGen4Direct_Square(),
+                // StabilityAiDirect_Square(),   // SD3.5 via Stability API
                 // RecraftV4ProRealisticPortrait(),
                 // RecraftAnyStyle(),           // legacy V3
                 // xAI Grok Imagine (launched 2026-01-28). Pro is 3.5x the price
@@ -338,6 +346,40 @@ private BFLGenerator BFLFlux2Klein9b_Square() =>
         private LocalFlux2ComfyGenerator LocalFlux2Uncensored_Square() =>
             new LocalFlux2ComfyGenerator(_settings, _concurrency, _stats, "local-flux2-uncensored");
 
+        // ---------- Direct first-party image APIs ----------
+
+        private DirectImageApiGenerator SeedreamDirect_Square() =>
+            new DirectImageApiGenerator(DirectImageProvider.ByteDanceSeedream,
+                _settings, _concurrency, _stats, "seedream-direct");
+
+        private DirectImageApiGenerator HailuoDirect_Square() =>
+            new DirectImageApiGenerator(DirectImageProvider.MiniMaxHailuo,
+                _settings, _concurrency, _stats, "hailuo-direct");
+
+        private DirectImageApiGenerator KreaDirect_Square() =>
+            new DirectImageApiGenerator(DirectImageProvider.Krea,
+                _settings, _concurrency, _stats, "krea-direct");
+
+        private DirectImageApiGenerator BriaDirect_Square() =>
+            new DirectImageApiGenerator(DirectImageProvider.Bria,
+                _settings, _concurrency, _stats, "bria-direct");
+
+        private DirectImageApiGenerator MagnificMysticDirect_Square() =>
+            new DirectImageApiGenerator(DirectImageProvider.Magnific,
+                _settings, _concurrency, _stats, "magnific-direct");
+
+        private DirectImageApiGenerator LumaPhotonDirect_Square() =>
+            new DirectImageApiGenerator(DirectImageProvider.LumaPhoton,
+                _settings, _concurrency, _stats, "luma-direct");
+
+        private DirectImageApiGenerator RunwayGen4Direct_Square() =>
+            new DirectImageApiGenerator(DirectImageProvider.Runway,
+                _settings, _concurrency, _stats, "runway-direct");
+
+        private DirectImageApiGenerator StabilityAiDirect_Square() =>
+            new DirectImageApiGenerator(DirectImageProvider.StabilityAi,
+                _settings, _concurrency, _stats, "stability-direct");
+
         // ---------- Recraft ----------
 
         private RecraftGenerator RecraftAnyStyle() =>
diff --git a/MultiImageClient/Workflows/ReplWorkflow.cs b/MultiImageClient/Workflows/ReplWorkflow.cs
index 7ac6005..d7d9ce6 100644
--- a/MultiImageClient/Workflows/ReplWorkflow.cs
+++ b/MultiImageClient/Workflows/ReplWorkflow.cs
@@ -74,7 +74,7 @@ public class ReplWorkflow
         // Catalog of known per-name factories. ':gens add <name>' looks here.
         // Keep in sync with PrintHelp()'s generator list.
         private static readonly string[] KnownGenerators =
-            { "gpt2", "grok", "grokpro", "dalle3", "ideogram", "recraft", "bfl", "flux2local", "google", "googlepro", "imagen4" };
+            { "gpt2", "grok", "grokpro", "dalle3", "ideogram", "recraft", "bfl", "flux2local", "seedream", "hailuo", "krea", "bria", "magnific", "luma", "runway", "stability", "google", "googlepro", "imagen4" };
 
         private class InFlight
         {
@@ -748,6 +748,51 @@ private IImageGenerator BuildNamed(string name)
                 case "flux2uncensored":
                     return new LocalFlux2ComfyGenerator(_settings, _concurrency, _stats, "repl-local-flux2");
 
+                case "seedream":
+                case "bytedance":
+                    RequireKey(_settings.ByteDanceArkApiKey, "ByteDanceArkApiKey", "seedream");
+                    return new DirectImageApiGenerator(DirectImageProvider.ByteDanceSeedream,
+                        _settings, _concurrency, _stats, "repl-seedream");
+
+                case "hailuo":
+                case "minimax":
+                    RequireKey(_settings.MiniMaxApiKey, "MiniMaxApiKey", "hailuo");
+                    return new DirectImageApiGenerator(DirectImageProvider.MiniMaxHailuo,
+                        _settings, _concurrency, _stats, "repl-hailuo");
+
+                case "krea":
+                    RequireKey(_settings.KreaApiKey, "KreaApiKey", "krea");
+                    return new DirectImageApiGenerator(DirectImageProvider.Krea,
+                        _settings, _concurrency, _stats, "repl-krea");
+
+                case "bria":
+                    RequireKey(_settings.BriaApiKey, "BriaApiKey", "bria");
+                    return new DirectImageApiGenerator(DirectImageProvider.Bria,
+                        _settings, _concurrency, _stats, "repl-bria");
+
+                case "magnific":
+                case "mystic":
+                    RequireKey(_settings.MagnificApiKey, "MagnificApiKey", "magnific");
+                    return new DirectImageApiGenerator(DirectImageProvider.Magnific,
+                        _settings, _concurrency, _stats, "repl-magnific");
+
+                case "luma":
+                case "photon":
+                    RequireKey(_settings.LumaApiKey, "LumaApiKey", "luma");
+                    return new DirectImageApiGenerator(DirectImageProvider.LumaPhoton,
+                        _settings, _concurrency, _stats, "repl-luma");
+
+                case "runway":
+                    RequireKey(_settings.RunwayApiKey, "RunwayApiKey", "runway");
+                    return new DirectImageApiGenerator(DirectImageProvider.Runway,
+                        _settings, _concurrency, _stats, "repl-runway");
+
+                case "stability":
+                case "stabilityai":
+                    RequireKey(_settings.StabilityApiKey, "StabilityApiKey", "stability");
+                    return new DirectImageApiGenerator(DirectImageProvider.StabilityAi,
+                        _settings, _concurrency, _stats, "repl-stability");
+
                 case "google":
                 case "nanobanana":
                     RequireKey(_settings.GoogleGeminiApiKey, "GoogleGeminiApiKey", "google");
@@ -885,7 +930,7 @@ private static void PrintHelp()
             Console.WriteLine("  :n N                     set gpt-image-2 images-per-call (default 1). N>10 requires confirmation.");
             Console.WriteLine("  :concurrency N           max prompts in flight (applies to subsequent dispatches)");
             Console.WriteLine("  :gens list               list active generators");
-            Console.WriteLine("  :gens add <name>         add a generator: gpt2 grok grokpro dalle3 ideogram recraft bfl flux2local google googlepro imagen4(dead 06-24)");
+            Console.WriteLine("  :gens add <name>         add a generator: gpt2 grok grokpro dalle3 ideogram recraft bfl flux2local seedream hailuo krea bria magnific luma runway stability google googlepro imagen4(dead 06-24)");
             Console.WriteLine("  :gens remove <name>      remove a generator from the active set");
             Console.WriteLine("  :gens reset              back to defaults (gpt2 + grok when XAIGrokApiKey is set)");
             Console.WriteLine("  :status                  list in-flight jobs");
diff --git a/MultiImageClient/promptTransformation/MultiClientRunStats.cs b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
index 530b8f8..8435f10 100644
--- a/MultiImageClient/promptTransformation/MultiClientRunStats.cs
+++ b/MultiImageClient/promptTransformation/MultiClientRunStats.cs
@@ -50,6 +50,10 @@ public class MultiClientRunStats
         public int LocalFlux2SuccessCount { get; set; }
         public int LocalFlux2ErrorCount { get; set; }
 
+        public int DirectImageGenerationRequestCount { get; set; }
+        public int DirectImageGenerationSuccessCount { get; set; }
+        public int DirectImageGenerationErrorCount { get; set; }
+
         public int GoogleRequestCount { get; set; }
         public int GoogleRefusedCount { get; set; }
 
@@ -119,6 +123,9 @@ public void PrintStats()
             if (LocalFlux2RequestCount > 0 | LocalFlux2ErrorCount > 0 | LocalFlux2SuccessCount > 0)
                 nonZeroStats.Add($"Local Flux2: total:{LocalFlux2RequestCount}, ok:{LocalFlux2SuccessCount}, bad:{LocalFlux2ErrorCount} ");
 
+            if (DirectImageGenerationRequestCount > 0 | DirectImageGenerationErrorCount > 0 | DirectImageGenerationSuccessCount > 0)
+                nonZeroStats.Add($"Direct Image APIs: total:{DirectImageGenerationRequestCount}, ok:{DirectImageGenerationSuccessCount}, bad:{DirectImageGenerationErrorCount} ");
+
             var res = $"Stats: {string.Join(", ", nonZeroStats)}";
             Console.WriteLine(res);
         }
diff --git a/MultiImageClient/settings - Fill this in and rename it.json b/MultiImageClient/settings - Fill this in and rename it.json
index 796ed9a..cf6ee8c 100644
--- a/MultiImageClient/settings - Fill this in and rename it.json	
+++ b/MultiImageClient/settings - Fill this in and rename it.json	
@@ -1,4 +1,4 @@
-{
+{
   "PromptFiles": [
     "REQUIRED: absolute path to a prompts .txt file (one prompt per line). You can list more than one file.",
     "Example second file - or remove this array entry."
@@ -36,5 +36,41 @@
   "LocalFlux2Guidance": 1.0,
   "LocalFlux2Seed": null,
   "LocalFlux2TimeoutSeconds": 900,
-  "LocalFlux2WorkflowInputOverrides": {}
+  "LocalFlux2WorkflowInputOverrides": {},
+  "ByteDanceArkApiKey": "Optional: BytePlus/ModelArk API key. Required for direct Seedream.",
+  "ByteDanceArkBaseUrl": "https://ark.ap-southeast.bytepluses.com/api/v3",
+  "SeedreamModel": "seedream-4-5-251128",
+  "SeedreamSize": "2K",
+  "SeedreamWatermark": false,
+  "MiniMaxApiKey": "Optional: MiniMax API key. Required for Hailuo image-01.",
+  "HailuoModel": "image-01",
+  "HailuoAspectRatio": "1:1",
+  "HailuoResponseFormat": "base64",
+  "KreaApiKey": "Optional: Krea API token. Required for Krea 2.",
+  "KreaModelVariant": "medium",
+  "KreaAspectRatio": "1:1",
+  "KreaResolution": "1K",
+  "KreaCreativity": "medium",
+  "BriaApiKey": "Optional: BRIA API token. Required for BRIA FIBO.",
+  "BriaBaseUrl": "https://engine.prod.bria-api.com/v2",
+  "BriaAspectRatio": "1:1",
+  "BriaResolution": "1MP",
+  "BriaNumResults": 1,
+  "MagnificApiKey": "Optional: Magnific API key. Required for Mystic.",
+  "MagnificAspectRatio": "square_1_1",
+  "MagnificModel": "realism",
+  "MagnificResolution": "1K",
+  "LumaApiKey": "Optional: Luma Dream Machine API key. Required for Photon.",
+  "LumaPhotonModel": "photon-1",
+  "LumaAspectRatio": "1:1",
+  "RunwayApiKey": "Optional: Runway API key. Required for Gen-4 Image.",
+  "RunwayApiVersion": "2024-11-06",
+  "RunwayImageModel": "gen4_image",
+  "RunwayImageRatio": "1024:1024",
+  "StabilityApiKey": "Optional: Stability AI API key. Required for SD3.5.",
+  "StabilityModel": "sd3.5-large",
+  "StabilityAspectRatio": "1:1",
+  "StabilityOutputFormat": "png",
+  "StabilityNegativePrompt": "",
+  "DirectImageApiTimeoutSeconds": 600
 }

From 43d6ff2b3a9a9bca0ac69e7723227804d48fa3de Mon Sep 17 00:00:00 2001
From: Cursor Agent <cursoragent@cursor.com>
Date: Sun, 28 Jun 2026 19:19:57 +0000
Subject: [PATCH 78/78] normalize direct provider settings template

Co-authored-by: Ernest French <ernestfrench@gmail.com>
---
 MultiImageClient/settings - Fill this in and rename it.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/MultiImageClient/settings - Fill this in and rename it.json b/MultiImageClient/settings - Fill this in and rename it.json
index cf6ee8c..b7d2b74 100644
--- a/MultiImageClient/settings - Fill this in and rename it.json	
+++ b/MultiImageClient/settings - Fill this in and rename it.json	
@@ -1,4 +1,4 @@
-{
+{
   "PromptFiles": [
     "REQUIRED: absolute path to a prompts .txt file (one prompt per line). You can list more than one file.",
     "Example second file - or remove this array entry."