feat: update blas/ext/base TypeScript declarations

lib/node_modules/@stdlib/blas/ext/base/docs/types/index.d.ts

@@ -142,6 +142,7 @@ import dsumkbn = require( '@stdlib/blas/ext/base/dsumkbn' );
 import dsumkbn2 = require( '@stdlib/blas/ext/base/dsumkbn2' );
 import dsumors = require( '@stdlib/blas/ext/base/dsumors' );
 import dsumpw = require( '@stdlib/blas/ext/base/dsumpw' );
+import dtril = require( '@stdlib/blas/ext/base/dtril' );
 import dtriu = require( '@stdlib/blas/ext/base/dtriu' );
 import dunitspace = require( '@stdlib/blas/ext/base/dunitspace' );
 import dvander = require( '@stdlib/blas/ext/base/dvander' );
@@ -340,6 +341,7 @@ import ssumkbn = require( '@stdlib/blas/ext/base/ssumkbn' );
 import ssumkbn2 = require( '@stdlib/blas/ext/base/ssumkbn2' );
 import ssumors = require( '@stdlib/blas/ext/base/ssumors' );
 import ssumpw = require( '@stdlib/blas/ext/base/ssumpw' );
+import stril = require( '@stdlib/blas/ext/base/stril' );
 import striu = require( '@stdlib/blas/ext/base/striu' );
 import sunitspace = require( '@stdlib/blas/ext/base/sunitspace' );
 import svander = require( '@stdlib/blas/ext/base/svander' );
@@ -4254,6 +4256,39 @@ interface Namespace {
 	*/
 	dsumpw: typeof dsumpw;
 
+	/**
+	* Copies the lower triangular part of a double-precision floating-point matrix `A` to another matrix `B`.
+	*
+	* @param order - storage layout of `A` and `B`
+	* @param M - number of rows in matrix `A`
+	* @param N - number of columns in matrix `A`
+	* @param k - diagonal above which to ignore
+	* @param A - input matrix
+	* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+	* @param B - output matrix
+	* @param LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`)
+	* @returns `B`
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var B = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+	*
+	* ns.dtril( 'row-major', 2, 2, 0, A, 2, B, 2 );
+	* // B => <Float64Array>[ 1.0, 0.0, 3.0, 4.0 ]
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var B = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+	*
+	* ns.dtril.ndarray( 2, 2, 0, A, 2, 1, 0, B, 2, 1, 0 );
+	* // B => <Float64Array>[ 1.0, 0.0, 3.0, 4.0 ]
+	*/
+	dtril: typeof dtril;
+
 	/**
 	* Copies the upper triangular part of a double-precision floating-point matrix `A` to another matrix `B`.
 	*
@@ -9966,6 +10001,39 @@ interface Namespace {
 	*/
 	ssumpw: typeof ssumpw;
 
+	/**
+	* Copies the lower triangular part of a single-precision floating-point matrix `A` to another matrix `B`.
+	*
+	* @param order - storage layout of `A` and `B`
+	* @param M - number of rows in matrix `A`
+	* @param N - number of columns in matrix `A`
+	* @param k - diagonal above which to ignore
+	* @param A - input matrix
+	* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+	* @param B - output matrix
+	* @param LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`)
+	* @returns `B`
+	*
+	* @example
+	* var Float32Array = require( '@stdlib/array/float32' );
+	*
+	* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+	*
+	* ns.stril( 'row-major', 2, 2, 0, A, 2, B, 2 );
+	* // B => <Float32Array>[ 1.0, 0.0, 3.0, 4.0 ]
+	*
+	* @example
+	* var Float32Array = require( '@stdlib/array/float32' );
+	*
+	* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+	*
+	* ns.stril.ndarray( 2, 2, 0, A, 2, 1, 0, B, 2, 1, 0 );
+	* // B => <Float32Array>[ 1.0, 0.0, 3.0, 4.0 ]
+	*/
+	stril: typeof stril;
+
 	/**
 	* Copies the upper triangular part of a single-precision floating-point matrix `A` to another matrix `B`.
 	*