diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/README.md b/lib/node_modules/@stdlib/blas/base/gsyr2/README.md
new file mode 100644
index 000000000000..bcd698cb522e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/README.md
@@ -0,0 +1,199 @@
+
+
+# gsyr2
+
+> Perform the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`.
+
+
+
+## Usage
+
+```javascript
+var gsyr2 = require( '@stdlib/blas/base/gsyr2' );
+```
+
+#### gsyr2( order, uplo, N, α, x, sx, y, sy, A, LDA )
+
+Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+
+```javascript
+var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ];
+var x = [ 1.0, 2.0, 3.0 ];
+var y = [ 1.0, 2.0, 3.0 ];
+
+gsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 );
+// A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+```
+
+The function has the following parameters:
+
+- **order**: storage layout.
+- **uplo**: specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced.
+- **N**: number of elements along each dimension of `A`.
+- **α**: scalar constant.
+- **x**: first input array.
+- **sx**: stride length for `x`.
+- **y**: second input array.
+- **sy**: stride length for `y`.
+- **A**: input matrix stored in linear memory.
+- **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+
+The stride parameters determine how elements in the input arrays are accessed at runtime. For example, to iterate over the elements of `x` and `y` in reverse order,
+
+```javascript
+var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ];
+var x = [ 3.0, 2.0, 1.0 ];
+var y = [ 3.0, 2.0, 1.0 ];
+
+gsyr2( 'row-major', 'upper', 3, 1.0, x, -1, y, -1, A, 3 );
+// A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Initial arrays...
+var x0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] );
+var y0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] );
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] );
+
+// Create offset views...
+var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+gsyr2( 'row-major', 'upper', 3, 1.0, x1, 1, y1, 1, A, 3 );
+// A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+```
+
+#### gsyr2.ndarray( uplo, N, α, x, sx, ox, y, sy, oy, A, sa1, sa2, oa )
+
+Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`, using alternative indexing semantics and where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+
+```javascript
+var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ];
+var x = [ 1.0, 2.0, 3.0 ];
+var y = [ 1.0, 2.0, 3.0 ];
+
+gsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 );
+// A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+```
+
+The function has the following additional parameters:
+
+- **ox**: starting index for `x`.
+- **oy**: starting index for `y`.
+- **sa1**: stride of the first dimension of `A`.
+- **sa2**: stride of the second dimension of `A`.
+- **oa**: starting index for `A`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,
+
+```javascript
+var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ];
+var x = [ 0.0, 1.0, 2.0, 3.0 ];
+var y = [ 0.0, 1.0, 2.0, 3.0 ];
+
+gsyr2.ndarray( 'upper', 3, 1.0, x, 1, 1, y, 1, 1, A, 3, 1, 0 );
+// A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- `gsyr2()` corresponds to the [BLAS][blas] level 2 function [`dsyr2`][dsyr2] with the exception that this implementation works with any array type, not just Float64Arrays. Depending on the environment, the typed versions ([`dsyr2`][@stdlib/blas/base/dsyr2], [`ssyr2`][@stdlib/blas/base/ssyr2], etc.) are likely to be significantly more performant.
+- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ones = require( '@stdlib/array/ones' );
+var gsyr2 = require( '@stdlib/blas/base/gsyr2' );
+
+var opts = {
+ 'dtype': 'generic'
+};
+
+var N = 3;
+
+// Create N-by-N symmetric matrices:
+var A1 = ones( N*N, opts.dtype );
+var A2 = ones( N*N, opts.dtype );
+
+// Create random vectors:
+var x = discreteUniform( N, -10.0, 10.0, opts );
+var y = discreteUniform( N, -10.0, 10.0, opts );
+
+gsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A1, 3 );
+console.log( A1 );
+
+gsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A2, 3, 1, 0 );
+console.log( A2 );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[blas]: http://www.netlib.org/blas
+
+[dsyr2]: https://www.netlib.org/lapack/explore-html/d7/d15/group__her2_ga1c3c5df33af6bda1e40986a89ade5db1.html#ga1c3c5df33af6bda1e40986a89ade5db1
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+[@stdlib/blas/base/dsyr2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/dsyr2
+
+[@stdlib/blas/base/ssyr2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ssyr2
+
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/gsyr2/benchmark/benchmark.js
new file mode 100644
index 000000000000..906d9b7b6a3b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/benchmark/benchmark.js
@@ -0,0 +1,106 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var format = require( '@stdlib/string/format' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var gsyr2 = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Create a benchmark function.
+*
+* @private
+* @param {PositiveInteger} N - array dimension size
+* @returns {Function} benchmark function
+*/
+function createBenchmark( N ) {
+ var x = uniform( N, -10.0, 10.0, options );
+ var y = uniform( N, -10.0, 10.0, options );
+ var A = uniform( N*N, -10.0, 10.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var z;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ z = gsyr2( 'row-major', 'upper', N, 1.0, x, 1, y, 1, A, N );
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var min;
+ var max;
+ var N;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+ f = createBenchmark( N );
+ bench( format( '%s:size=%d', pkg, N*N ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/base/gsyr2/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..b0205c1e3efd
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/benchmark/benchmark.ndarray.js
@@ -0,0 +1,106 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var format = require( '@stdlib/string/format' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var gsyr2 = require( './../lib' ).ndarray;
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Create a benchmark function.
+*
+* @private
+* @param {PositiveInteger} N - array dimension size
+* @returns {Function} benchmark function
+*/
+function createBenchmark( N ) {
+ var x = uniform( N, -10.0, 10.0, options );
+ var y = uniform( N, -10.0, 10.0, options );
+ var A = uniform( N*N, -10.0, 10.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var z;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ z = gsyr2( 'upper', N, 1.0, x, 1, 0, y, 1, 0, A, N, 1, 0 );
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var min;
+ var max;
+ var N;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+ f = createBenchmark( N );
+ bench( format( '%s:ndarray:size=%d', pkg, N*N ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/gsyr2/docs/repl.txt
new file mode 100644
index 000000000000..cee0b1d2b30b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/docs/repl.txt
@@ -0,0 +1,143 @@
+
+{{alias}}( order, uplo, N, α, x, sx, y, sy, A, lda )
+ Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where
+ `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by
+ `N` symmetric matrix.
+
+ Indexing is relative to the first index. To introduce an offset, use typed
+ array views.
+
+ If `N` is equal to `0` or `α` is equal to `0`, the function returns `A`
+ unchanged.
+
+ Parameters
+ ----------
+ order: string
+ Row-major (C-style) or column-major (Fortran-style) order.
+
+ uplo: string
+ Specifies whether to reference the upper or lower triangular part of
+ `A`. Must be either 'upper' or 'lower'.
+
+ N: integer
+ Number of elements along each dimension of `A`.
+
+ α: number
+ Scalar constant.
+
+ x: Array|TypedArray
+ First input vector.
+
+ sx: integer
+ Stride length for `x`.
+
+ y: Array|TypedArray
+ Second input vector.
+
+ sy: integer
+ Stride length for `y`.
+
+ A: Array|TypedArray
+ Input matrix.
+
+ lda: integer
+ Stride of the first dimension of `A` (a.k.a., leading dimension of the
+ matrix `A`).
+
+ Returns
+ -------
+ A: Array|TypedArray
+ Input matrix.
+
+ Examples
+ --------
+ // Standard usage:
+ > var x = [ 1.0, 1.0 ];
+ > var y = [ 1.0, 1.0 ];
+ > var A = [ 1.0, 2.0, 2.0, 1.0 ];
+ > {{alias}}( 'row-major', 'upper', 2, 1.0, x, 1, y, 1, A, 2 )
+ [ 3.0, 4.0, 2.0, 3.0 ]
+
+ // Advanced indexing:
+ > x = [ 1.0, 1.0 ];
+ > y = [ 1.0, 1.0 ];
+ > A = [ 1.0, 2.0, 2.0, 1.0 ];
+ > {{alias}}( 'row-major', 'upper', 2, 1.0, x, -1, y, -1, A, 2 )
+ [ 3.0, 4.0, 2.0, 3.0 ]
+
+ // Using typed array views:
+ > var x0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 1.0 ] );
+ > var y0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 1.0 ] );
+ > A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 2.0, 1.0 ] );
+ > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+ > var y1 = new {{alias:@stdlib/array/float64}}( y0.buffer, y0.BYTES_PER_ELEMENT*1 );
+ > {{alias}}( 'row-major', 'upper', 2, 1.0, x1, 1, y1, 1, A, 2 )
+ [ 3.0, 4.0, 2.0, 3.0 ]
+
+
+{{alias}}.ndarray( uplo, N, α, x, sx, ox, y, sy, oy, A, sa1, sa2, oa )
+ Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`, using
+ alternative indexing semantics and where `α` is a scalar, `x` and `y` are
+ `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ uplo: string
+ Specifies whether to reference the upper or lower triangular part of
+ `A`. Must be either 'upper' or 'lower'.
+
+ N: integer
+ Number of elements along each dimension of `A`.
+
+ α: number
+ Scalar constant.
+
+ x: Array|TypedArray
+ First input vector.
+
+ sx: integer
+ Stride length for `x`.
+
+ ox: integer
+ Starting index for `x`.
+
+ y: Array|TypedArray
+ Second input vector.
+
+ sy: integer
+ Stride length for `y`.
+
+ oy: integer
+ Starting index for `y`.
+
+ A: Array|TypedArray
+ Input matrix.
+
+ sa1: integer
+ Stride of the first dimension of `A`.
+
+ sa2: integer
+ Stride of the second dimension of `A`.
+
+ oa: integer
+ Starting index for `A`.
+
+ Returns
+ -------
+ A: Array|TypedArray
+ Input matrix.
+
+ Examples
+ --------
+ > var x = [ 1.0, 1.0 ];
+ > var y = [ 1.0, 1.0 ];
+ > var A = [ 1.0, 2.0, 2.0, 1.0 ];
+ > {{alias}}.ndarray( 'upper', 2, 1.0, x, 1, 0, y, 1, 0, A, 2, 1, 0 )
+ [ 3.0, 4.0, 2.0, 3.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/gsyr2/docs/types/index.d.ts
new file mode 100644
index 000000000000..935db311d74b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/docs/types/index.d.ts
@@ -0,0 +1,125 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { NumericArray, Collection, AccessorArrayLike } from '@stdlib/types/array';
+import { Layout, MatrixTriangle } from '@stdlib/types/blas';
+
+/**
+* Input array.
+*/
+type InputArray = NumericArray | Collection | AccessorArrayLike;
+
+/**
+* Interface describing `gsyr2`.
+*/
+interface Routine {
+ /**
+ * Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+ *
+ * @param order - storage layout
+ * @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced
+ * @param N - number of elements along each dimension in the matrix `A`
+ * @param alpha - scalar constant
+ * @param x - first input vector
+ * @param strideX - stride length for `x`
+ * @param y - second input vector
+ * @param strideY - stride length for `y`
+ * @param A - input matrix
+ * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+ * @returns `A`
+ *
+ * @example
+ * var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ]; // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ]
+ * var x = [ 1.0, 2.0, 3.0 ];
+ * var y = [ 1.0, 2.0, 3.0 ];
+ *
+ * gsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 );
+ * // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+ */
+ ( order: Layout, uplo: MatrixTriangle, N: number, alpha: number, x: InputArray, strideX: number, y: InputArray, strideY: number, A: T, LDA: number ): T;
+
+ /**
+ * Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` using alternative indexing semantics and where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+ *
+ * @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced
+ * @param N - number of elements along each dimension in the matrix `A`
+ * @param alpha - scalar constant
+ * @param x - first input vector
+ * @param strideX - stride length for `x`
+ * @param offsetX - starting index for `x`
+ * @param y - second input vector
+ * @param strideY - stride length for `y`
+ * @param offsetY - starting index for `y`
+ * @param A - input matrix
+ * @param strideA1 - stride of the first dimension of `A`
+ * @param strideA2 - stride of the second dimension of `A`
+ * @param offsetA - starting index for `A`
+ * @returns `A`
+ *
+ * @example
+ * var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ]; // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ]
+ * var x = [ 1.0, 2.0, 3.0 ];
+ * var y = [ 1.0, 2.0, 3.0 ];
+ *
+ * gsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 );
+ * // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+ */
+ ndarray( uplo: MatrixTriangle, N: number, alpha: number, x: InputArray, strideX: number, offsetX: number, y: InputArray, strideY: number, offsetY: number, A: T, strideA1: number, strideA2: number, offsetA: number ): T;
+}
+
+/**
+* Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+*
+* @param order - storage layout
+* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced
+* @param N - number of elements along each dimension in the matrix `A`
+* @param alpha - scalar constant
+* @param x - first input vector
+* @param strideX - stride length for `x`
+* @param y - second input vector
+* @param strideY - stride length for `y`
+* @param A - input matrix
+* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @returns `A`
+*
+* @example
+* var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ];
+* var x = [ 1.0, 2.0, 3.0 ];
+* var y = [ 1.0, 2.0, 3.0 ];
+*
+* gsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 );
+* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+*
+* @example
+* var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ];
+* var x = [ 1.0, 2.0, 3.0 ];
+* var y = [ 1.0, 2.0, 3.0 ];
+*
+* gsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 );
+* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+*/
+declare var gsyr2: Routine;
+
+
+// EXPORTS //
+
+export = gsyr2;
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/gsyr2/docs/types/test.ts
new file mode 100644
index 000000000000..8730e584434c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/docs/types/test.ts
@@ -0,0 +1,449 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import gsyr2 = require( './index' );
+
+
+// TESTS //
+
+// The function returns an array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2( 10, 'upper', 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( true, 'upper', 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( false, 'upper', 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( null, 'upper', 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( undefined, 'upper', 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( [], 'upper', 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( {}, 'upper', 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( ( x: number ): number => x, 'upper', 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a string...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2( 'row-major', 10, 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', true, 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', false, 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', null, 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', undefined, 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', [ '1' ], 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', {}, 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', ( x: number ): number => x, 10, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2( 'row-major', 'upper', '10', 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', true, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', false, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', null, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', undefined, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', [], 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', {}, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', ( x: number ): number => x, 1.0, x, 1, y, 1, A, 10 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2( 'row-major', 'upper', 10, '10', x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, true, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, false, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, null, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, undefined, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, [], x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, {}, x, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, ( x: number ): number => x, x, 1, y, 1, A, 10 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a numeric array...
+{
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2( 'row-major', 'upper', 10, 1.0, 10, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, '10', 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, true, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, false, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, null, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, undefined, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, [ '1' ], 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, {}, 1, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, ( x: number ): number => x, 1, y, 1, A, 10 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, '10', y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, true, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, false, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, null, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, undefined, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, [], y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, {}, y, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, ( x: number ): number => x, y, 1, A, 10 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a numeric array...
+{
+ const x = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, 10, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, '10', 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, true, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, false, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, null, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, undefined, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, [ '1' ], 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, {}, 1, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, ( x: number ): number => x, 1, A, 10 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, '10', A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, true, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, false, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, null, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, undefined, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, [], A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, {}, A, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, ( x: number ): number => x, A, 10 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a ninth argument which is not a numeric array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, 10, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, '10', 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, true, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, false, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, null, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, undefined, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, [ '1' ], 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, {}, 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, ( x: number ): number => x, 10 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a tenth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A, '10' ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A, true ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A, false ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A, null ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A, undefined ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A, [] ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A, {} ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2(); // $ExpectError
+ gsyr2( 'row-major' ); // $ExpectError
+ gsyr2( 'row-major', 'upper' ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1 ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A ); // $ExpectError
+ gsyr2( 'row-major', 'upper', 10, 1.0, x, 1, y, 1, A, 10, 1 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns an array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the `ndarray` method is provided a first argument which is not a string...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 10, 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( true, 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( false, 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( null, 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( undefined, 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( [ '1' ], 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( {}, 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( ( x: number ): number => x, 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a second argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', '10', 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', true, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', false, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', null, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', undefined, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', [], 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', {}, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', ( x: number ): number => x, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a third argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, '10', x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, true, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, false, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, null, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, undefined, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, [], x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, {}, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, ( x: number ): number => x, x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a numeric array...
+{
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, 10, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, '10', 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, true, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, false, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, null, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, undefined, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, [ '1' ], 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, {}, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, ( x: number ): number => x, 1, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fifth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, x, '10', 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, true, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, false, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, null, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, undefined, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, [], 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, {}, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, ( x: number ): number => x, 0, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a sixth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, '10', y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, true, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, false, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, null, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, undefined, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, [], y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, {}, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, ( x: number ): number => x, y, 1, 0, A, 10, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a seventh argument which is not a numeric array...
+{
+ const x = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, 10, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, '10', 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, true, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, false, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, null, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, undefined, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, [ '1' ], 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, {}, 1, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, ( x: number ): number => x, 1, 0, A, 10, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eighth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, '10', 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, true, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, false, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, null, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, undefined, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, [], 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, {}, 0, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, ( x: number ): number => x, 0, A, 10, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a ninth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, '10', A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, true, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, false, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, null, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, undefined, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, [], A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, {}, A, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, ( x: number ): number => x, A, 10, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a tenth argument which is not a numeric array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, 10, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, '10', 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, true, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, false, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, null, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, undefined, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, [ '1' ], 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, {}, 10, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, ( x: number ): number => x, 10, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eleventh argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, '10', 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, true, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, false, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, null, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, undefined, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, [], 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, {}, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a twelfth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, '10', 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, true, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, false, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, null, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, undefined, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, [], 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, {}, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a thirteenth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, '10' ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, true ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, false ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, null ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, undefined ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, [] ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, {} ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 20 );
+
+ gsyr2.ndarray(); // $ExpectError
+ gsyr2.ndarray( 'upper' ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1 ); // $ExpectError
+ gsyr2.ndarray( 'upper', 10, 1.0, x, 1, 0, y, 1, 0, A, 10, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/examples/index.js b/lib/node_modules/@stdlib/blas/base/gsyr2/examples/index.js
new file mode 100644
index 000000000000..a6f213abb978
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/examples/index.js
@@ -0,0 +1,43 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ones = require( '@stdlib/array/ones' );
+var gsyr2 = require( './../lib' );
+
+var opts = {
+ 'dtype': 'generic'
+};
+
+var N = 3;
+
+// Create N-by-N symmetric matrices:
+var A1 = ones( N*N, opts.dtype );
+var A2 = ones( N*N, opts.dtype );
+
+// Create random vectors:
+var x = discreteUniform( N, -10.0, 10.0, opts );
+var y = discreteUniform( N, -10.0, 10.0, opts );
+
+gsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A1, 3 );
+console.log( A1 );
+
+gsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A2, 3, 1, 0 );
+console.log( A2 );
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/lib/accessors.js b/lib/node_modules/@stdlib/blas/base/gsyr2/lib/accessors.js
new file mode 100644
index 000000000000..84c618be15aa
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/lib/accessors.js
@@ -0,0 +1,161 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+
+
+// MAIN //
+
+/**
+* Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+*
+* @private
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced
+* @param {NonNegativeInteger} N - number of elements along each dimension of `A`
+* @param {number} alpha - scalar constant
+* @param {Object} x - first input vector object
+* @param {Collection} x.data - first input vector data
+* @param {Array} x.accessors - array element accessors
+* @param {integer} strideX - `x` stride length
+* @param {NonNegativeInteger} offsetX - starting index for `x`
+* @param {Object} y - second input vector object
+* @param {Collection} y.data - second input vector data
+* @param {Array} y.accessors - array element accessors
+* @param {integer} strideY - `y` stride length
+* @param {NonNegativeInteger} offsetY - starting index for `y`
+* @param {Object} A - input matrix object
+* @param {Collection} A.data - input matrix data
+* @param {Array} A.accessors - array element accessors
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @returns {Object} input matrix object
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+*
+* var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ]; // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ]
+* var x = [ 1.0, 2.0, 3.0 ];
+* var y = [ 1.0, 2.0, 3.0 ];
+*
+* gsyr2( 'upper', 3, 1.0, arraylike2object( toAccessorArray( x ) ), 1, 0, arraylike2object( toAccessorArray( y ) ), 1, 0, arraylike2object( toAccessorArray( A ) ), 3, 1, 0 );
+* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+*/
+function gsyr2( uplo, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, strideA1, strideA2, offsetA ) { // eslint-disable-line max-len, max-params
+ var tmp1;
+ var tmp2;
+ var getX;
+ var getY;
+ var getA;
+ var setA;
+ var xbuf;
+ var ybuf;
+ var Abuf;
+ var isrm;
+ var ix0;
+ var ix1;
+ var iy0;
+ var iy1;
+ var sa0;
+ var sa1;
+ var i0;
+ var i1;
+ var ia;
+ var vx;
+ var vy;
+
+ // Cache references to array data:
+ xbuf = x.data;
+ ybuf = y.data;
+ Abuf = A.data;
+
+ // Cache references to element accessors:
+ getX = x.accessors[ 0 ];
+ getY = y.accessors[ 0 ];
+ getA = A.accessors[ 0 ];
+ setA = A.accessors[ 1 ];
+
+ isrm = isRowMajor( [ strideA1, strideA2 ] );
+ if ( isrm ) {
+ // For row-major matrices, the last dimension has the fastest changing index...
+ sa0 = strideA2; // stride for innermost loop
+ sa1 = strideA1; // stride for outermost loop
+ } else { // isColMajor
+ // For column-major matrices, the first dimension has the fastest changing index...
+ sa0 = strideA1; // stride for innermost loop
+ sa1 = strideA2; // stride for outermost loop
+ }
+ ix1 = offsetX;
+ iy1 = offsetY;
+ if (
+ ( isrm && uplo === 'lower' ) ||
+ ( !isrm && uplo === 'upper' )
+ ) {
+ for ( i1 = 0; i1 < N; i1++ ) {
+ vx = getX( xbuf, ix1 );
+ vy = getY( ybuf, iy1 );
+ if ( ( vx !== 0.0 ) || ( vy !== 0.0 ) ) {
+ tmp1 = alpha * vy;
+ tmp2 = alpha * vx;
+ ia = offsetA + ( sa1*i1 );
+ ix0 = offsetX;
+ iy0 = offsetY;
+ for ( i0 = 0; i0 <= i1; i0++ ) {
+ setA( Abuf, ia, getA( Abuf, ia ) + ( getX( xbuf, ix0 ) * tmp1 ) + ( getY( ybuf, iy0 ) * tmp2 ) );
+ ix0 += strideX;
+ iy0 += strideY;
+ ia += sa0;
+ }
+ }
+ ix1 += strideX;
+ iy1 += strideY;
+ }
+ return A;
+ }
+ // ( isrm && uplo === 'upper' ) || ( !isrm && uplo === 'lower' )
+ for ( i1 = 0; i1 < N; i1++ ) {
+ vx = getX( xbuf, ix1 );
+ vy = getY( ybuf, iy1 );
+ if ( ( vx !== 0.0 ) || ( vy !== 0.0 ) ) {
+ tmp1 = alpha * vy;
+ tmp2 = alpha * vx;
+ ia = offsetA + ( sa1*i1 ) + ( sa0*i1 );
+ ix0 = ix1;
+ iy0 = iy1;
+ for ( i0 = i1; i0 < N; i0++ ) {
+ setA( Abuf, ia, getA( Abuf, ia ) + ( getX( xbuf, ix0 ) * tmp1 ) + ( getY( ybuf, iy0 ) * tmp2 ) );
+ ix0 += strideX;
+ iy0 += strideY;
+ ia += sa0;
+ }
+ }
+ ix1 += strideX;
+ iy1 += strideY;
+ }
+ return A;
+}
+
+
+// EXPORTS //
+
+module.exports = gsyr2;
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/lib/base.js b/lib/node_modules/@stdlib/blas/base/gsyr2/lib/base.js
new file mode 100644
index 000000000000..611cf90366b4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/lib/base.js
@@ -0,0 +1,140 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var accessors = require( './accessors.js' );
+
+
+// MAIN //
+
+/**
+* Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+*
+* @private
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced
+* @param {NonNegativeInteger} N - number of elements along each dimension of `A`
+* @param {number} alpha - scalar constant
+* @param {NumericArray} x - first input vector
+* @param {integer} strideX - `x` stride length
+* @param {NonNegativeInteger} offsetX - starting index for `x`
+* @param {NumericArray} y - second input vector
+* @param {integer} strideY - `y` stride length
+* @param {NonNegativeInteger} offsetY - starting index for `y`
+* @param {NumericArray} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @returns {NumericArray} `A`
+*
+* @example
+* var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ]; // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ]
+* var x = [ 1.0, 2.0, 3.0 ];
+* var y = [ 1.0, 2.0, 3.0 ];
+*
+* gsyr2( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 );
+* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+*/
+function gsyr2( uplo, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, strideA1, strideA2, offsetA ) { // eslint-disable-line max-len, max-params
+ var tmp1;
+ var tmp2;
+ var isrm;
+ var ix0;
+ var ix1;
+ var iy0;
+ var iy1;
+ var sa0;
+ var sa1;
+ var i0;
+ var i1;
+ var ia;
+ var ox;
+ var oy;
+ var oa;
+
+ ox = arraylike2object( x );
+ oy = arraylike2object( y );
+ oa = arraylike2object( A );
+ if ( ox.accessorProtocol || oy.accessorProtocol || oa.accessorProtocol ) {
+ accessors( uplo, N, alpha, ox, strideX, offsetX, oy, strideY, offsetY, oa, strideA1, strideA2, offsetA );
+ return A;
+ }
+ isrm = isRowMajor( [ strideA1, strideA2 ] );
+ if ( isrm ) {
+ // For row-major matrices, the last dimension has the fastest changing index...
+ sa0 = strideA2; // stride for innermost loop
+ sa1 = strideA1; // stride for outermost loop
+ } else { // isColMajor
+ // For column-major matrices, the first dimension has the fastest changing index...
+ sa0 = strideA1; // stride for innermost loop
+ sa1 = strideA2; // stride for outermost loop
+ }
+ ix1 = offsetX;
+ iy1 = offsetY;
+ if (
+ ( isrm && uplo === 'lower' ) ||
+ ( !isrm && uplo === 'upper' )
+ ) {
+ for ( i1 = 0; i1 < N; i1++ ) {
+ if ( ( x[ ix1 ] !== 0.0 ) || ( y[ iy1 ] !== 0.0 ) ) {
+ tmp1 = alpha * y[ iy1 ];
+ tmp2 = alpha * x[ ix1 ];
+ ia = offsetA + ( sa1*i1 );
+ ix0 = offsetX;
+ iy0 = offsetY;
+ for ( i0 = 0; i0 <= i1; i0++ ) {
+ A[ ia ] += ( x[ ix0 ] * tmp1 ) + ( y[ iy0 ] * tmp2 );
+ ix0 += strideX;
+ iy0 += strideY;
+ ia += sa0;
+ }
+ }
+ ix1 += strideX;
+ iy1 += strideY;
+ }
+ return A;
+ }
+ // ( isrm && uplo === 'upper' ) || ( !isrm && uplo === 'lower' )
+ for ( i1 = 0; i1 < N; i1++ ) {
+ if ( ( x[ ix1 ] !== 0.0 ) || ( y[ iy1 ] !== 0.0 ) ) {
+ tmp1 = alpha * y[ iy1 ];
+ tmp2 = alpha * x[ ix1 ];
+ ia = offsetA + ( sa1*i1 ) + ( sa0*i1 );
+ ix0 = ix1;
+ iy0 = iy1;
+ for ( i0 = i1; i0 < N; i0++ ) {
+ A[ ia ] += ( x[ ix0 ] * tmp1 ) + ( y[ iy0 ] * tmp2 );
+ ix0 += strideX;
+ iy0 += strideY;
+ ia += sa0;
+ }
+ }
+ ix1 += strideX;
+ iy1 += strideY;
+ }
+ return A;
+}
+
+
+// EXPORTS //
+
+module.exports = gsyr2;
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/lib/index.js b/lib/node_modules/@stdlib/blas/base/gsyr2/lib/index.js
new file mode 100644
index 000000000000..83f93790466e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/lib/index.js
@@ -0,0 +1,63 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* BLAS level 2 routine to perform the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+*
+* @module @stdlib/blas/base/gsyr2
+*
+* @example
+* var gsyr2 = require( '@stdlib/blas/base/gsyr2' );
+*
+* var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ]; // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ]
+* var x = [ 1.0, 2.0, 3.0 ];
+* var y = [ 1.0, 2.0, 3.0 ];
+*
+* gsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 );
+* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+*
+* @example
+* var gsyr2 = require( '@stdlib/blas/base/gsyr2' );
+*
+* var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ]; // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ]
+* var x = [ 1.0, 2.0, 3.0 ];
+* var y = [ 1.0, 2.0, 3.0 ];
+*
+* gsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 );
+* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = main;
+
+// exports: { "ndarray": "main.ndarray" }
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/lib/main.js b/lib/node_modules/@stdlib/blas/base/gsyr2/lib/main.js
new file mode 100644
index 000000000000..a10dc36bddb7
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/lib/main.js
@@ -0,0 +1,108 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var resolveStr = require( '@stdlib/blas/base/matrix-triangle-resolve-str' );
+var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var max = require( '@stdlib/math/base/special/fast/max' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+*
+* @param {string} order - storage layout
+* @param {(integer|string)} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced
+* @param {NonNegativeInteger} N - number of elements along each dimension of `A`
+* @param {number} alpha - scalar constant
+* @param {NumericArray} x - first input vector
+* @param {integer} strideX - stride length for `x`
+* @param {NumericArray} y - second input vector
+* @param {integer} strideY - stride length for `y`
+* @param {NumericArray} A - input matrix
+* @param {integer} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @throws {TypeError} first argument must be a valid order
+* @throws {TypeError} second argument must specify whether to reference the lower or upper triangular matrix
+* @throws {RangeError} third argument must be a nonnegative integer
+* @throws {RangeError} sixth argument must be non-zero
+* @throws {RangeError} eighth argument must be non-zero
+* @throws {RangeError} tenth argument must be a valid stride
+* @returns {NumericArray} `A`
+*
+* @example
+* var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ]; // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ]
+* var x = [ 1.0, 2.0, 3.0 ];
+* var y = [ 1.0, 2.0, 3.0 ];
+*
+* gsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 );
+* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+*/
+function gsyr2( order, uplo, N, alpha, x, strideX, y, strideY, A, LDA ) {
+ var sa1;
+ var sa2;
+ var ox;
+ var oy;
+ var u;
+
+ if ( !isLayout( order ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+ }
+ u = resolveStr( uplo );
+ if ( u === null ) {
+ throw new TypeError( format( 'invalid argument. Second argument must specify whether to reference the lower or upper triangular matrix. Value: `%s`.', uplo ) );
+ }
+ if ( N < 0 ) {
+ throw new RangeError( format( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', N ) );
+ }
+ if ( strideX === 0 ) {
+ throw new RangeError( format( 'invalid argument. Sixth argument must be non-zero. Value: `%d`.', strideX ) );
+ }
+ if ( strideY === 0 ) {
+ throw new RangeError( format( 'invalid argument. Eighth argument must be non-zero. Value: `%d`.', strideY ) );
+ }
+ if ( LDA < max( 1, N ) ) {
+ throw new RangeError( format( 'invalid argument. Tenth argument must be greater than or equal to max(1,%d). Value: `%d`.', N, LDA ) );
+ }
+ // Check if we can early return...
+ if ( N === 0 || alpha === 0.0 ) {
+ return A;
+ }
+ if ( isColumnMajor( order ) ) {
+ sa1 = 1;
+ sa2 = LDA;
+ } else { // order === 'row-major'
+ sa1 = LDA;
+ sa2 = 1;
+ }
+ ox = stride2offset( N, strideX );
+ oy = stride2offset( N, strideY );
+ return base( u, N, alpha, x, strideX, ox, y, strideY, oy, A, sa1, sa2, 0 );
+}
+
+
+// EXPORTS //
+
+module.exports = gsyr2;
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/lib/ndarray.js b/lib/node_modules/@stdlib/blas/base/gsyr2/lib/ndarray.js
new file mode 100644
index 000000000000..20e6a263fe2d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/lib/ndarray.js
@@ -0,0 +1,92 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolveStr = require( '@stdlib/blas/base/matrix-triangle-resolve-str' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
+*
+* @param {(integer|string)} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced
+* @param {NonNegativeInteger} N - number of elements along each dimension of `A`
+* @param {number} alpha - scalar constant
+* @param {NumericArray} x - first input vector
+* @param {integer} strideX - stride length for `x`
+* @param {NonNegativeInteger} offsetX - starting index for `x`
+* @param {NumericArray} y - second input vector
+* @param {integer} strideY - stride length for `y`
+* @param {NonNegativeInteger} offsetY - starting index for `y`
+* @param {NumericArray} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @throws {TypeError} first argument must specify whether to reference the lower or upper triangular matrix
+* @throws {RangeError} second argument must be a nonnegative integer
+* @throws {RangeError} fifth argument must be non-zero
+* @throws {RangeError} eighth argument must be non-zero
+* @throws {RangeError} eleventh argument must be non-zero
+* @throws {RangeError} twelfth argument must be non-zero
+* @returns {NumericArray} `A`
+*
+* @example
+* var A = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ]; // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ]
+* var x = [ 1.0, 2.0, 3.0 ];
+* var y = [ 1.0, 2.0, 3.0 ];
+*
+* gsyr2( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 );
+* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ]
+*/
+function gsyr2( uplo, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, strideA1, strideA2, offsetA ) { // eslint-disable-line max-len, max-params
+ var u = resolveStr( uplo );
+ if ( u === null ) {
+ throw new TypeError( format( 'invalid argument. First argument must specify whether to reference the lower or upper triangular matrix. Value: `%s`.', uplo ) );
+ }
+ if ( N < 0 ) {
+ throw new RangeError( format( 'invalid argument. Second argument must be a nonnegative integer. Value: `%d`.', N ) );
+ }
+ if ( strideX === 0 ) {
+ throw new RangeError( format( 'invalid argument. Fifth argument must be non-zero. Value: `%d`.', strideX ) );
+ }
+ if ( strideY === 0 ) {
+ throw new RangeError( format( 'invalid argument. Eighth argument must be non-zero. Value: `%d`.', strideY ) );
+ }
+ if ( strideA1 === 0 ) {
+ throw new RangeError( format( 'invalid argument. Eleventh argument must be non-zero. Value: `%d`.', strideA1 ) );
+ }
+ if ( strideA2 === 0 ) {
+ throw new RangeError( format( 'invalid argument. Twelfth argument must be non-zero. Value: `%d`.', strideA2 ) );
+ }
+ // Check if we can early return...
+ if ( N === 0 || alpha === 0.0 ) {
+ return A;
+ }
+ return base( u, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, strideA1, strideA2, offsetA ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = gsyr2;
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/package.json b/lib/node_modules/@stdlib/blas/base/gsyr2/package.json
new file mode 100644
index 000000000000..a04106d5f743
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/package.json
@@ -0,0 +1,65 @@
+{
+ "name": "@stdlib/blas/base/gsyr2",
+ "version": "0.0.0",
+ "description": "Perform the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "mathematics",
+ "math",
+ "blas",
+ "level 2",
+ "gsyr2",
+ "linear",
+ "algebra",
+ "subroutines",
+ "array",
+ "ndarray"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_complex_access_pattern.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_complex_access_pattern.json
new file mode 100644
index 000000000000..c7ac510e7846
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_complex_access_pattern.json
@@ -0,0 +1,22 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": -1,
+ "offsetX": 2,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": -1,
+ "offsetY": 2,
+ "A": [ 999.0, 999.0, 999.0, 999.0, 999.0, 1.0, 999.0, 2.0, 999.0, 3.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 1.0, 999.0, 2.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 0.0, 999.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "strideA1": -2,
+ "strideA2": -10,
+ "offsetA": 29,
+ "A_out": [ 999.0, 999.0, 999.0, 999.0, 999.0, 3.0, 999.0, 6.0, 999.0, 9.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 9.0, 999.0, 14.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 0.0, 999.0, 19.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_l.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_l.json
new file mode 100644
index 000000000000..2b41d1fecf46
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_l.json
@@ -0,0 +1,23 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 3,
+ "alpha": 2.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 1.0, 1.0, 0.0, 2.0, 2.0, 0.0, 0.0, 3.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 1.0, 2.0, 0.0 ],
+ [ 1.0, 2.0, 3.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 5.0, 9.0, 13.0, 0.0, 18.0, 26.0, 0.0, 0.0, 39.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_oa.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_oa.json
new file mode 100644
index 000000000000..0f6828fd1046
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_oa.json
@@ -0,0 +1,22 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 3,
+ "alpha": 2.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 999.0, 1.0, 1.0, 1.0, 999.0, 999.0, 0.0, 2.0, 2.0, 999.0, 999.0, 0.0, 0.0, 3.0, 999.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 1.0, 2.0, 0.0 ],
+ [ 1.0, 2.0, 3.0 ]
+ ],
+ "strideA1": 1,
+ "strideA2": 5,
+ "offsetA": 1,
+ "A_out": [ 999.0, 5.0, 9.0, 13.0, 999.0, 999.0, 0.0, 18.0, 26.0, 999.0, 999.0, 0.0, 0.0, 39.0, 999.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_ox.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_ox.json
new file mode 100644
index 000000000000..0d84bd654049
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_ox.json
@@ -0,0 +1,23 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 3,
+ "alpha": 2.0,
+ "x": [ 0.0, 0.0, 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 2,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 1.0, 1.0, 0.0, 2.0, 2.0, 0.0, 0.0, 3.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 1.0, 2.0, 0.0 ],
+ [ 1.0, 2.0, 3.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 5.0, 9.0, 13.0, 0.0, 18.0, 26.0, 0.0, 0.0, 39.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_oy.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_oy.json
new file mode 100644
index 000000000000..cf90d575a655
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_oy.json
@@ -0,0 +1,23 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 3,
+ "alpha": 2.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 0.0, 0.0, 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 2,
+ "A": [ 1.0, 1.0, 1.0, 0.0, 2.0, 2.0, 0.0, 0.0, 3.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 1.0, 2.0, 0.0 ],
+ [ 1.0, 2.0, 3.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 5.0, 9.0, 13.0, 0.0, 18.0, 26.0, 0.0, 0.0, 39.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1_sa2.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1_sa2.json
new file mode 100644
index 000000000000..fadb69ae4f59
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1_sa2.json
@@ -0,0 +1,22 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 999.0, 999.0, 999.0, 999.0, 999.0, 1.0, 999.0, 0.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 2.0, 999.0, 1.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 3.0, 999.0, 2.0, 999.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "strideA1": 2,
+ "strideA2": 10,
+ "offsetA": 5,
+ "A_out": [ 999.0, 999.0, 999.0, 999.0, 999.0, 3.0, 999.0, 0.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 6.0, 999.0, 9.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 9.0, 999.0, 14.0, 999.0, 19.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1_sa2n.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1_sa2n.json
new file mode 100644
index 000000000000..7fba65ee1b90
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1_sa2n.json
@@ -0,0 +1,22 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 999.0, 999.0, 999.0, 999.0, 999.0, 3.0, 999.0, 2.0, 999.0, 1.0, 999.0, 999.0, 999.0, 999.0, 999.0, 2.0, 999.0, 1.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 1.0, 999.0, 0.0, 999.0, 0.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "strideA1": 2,
+ "strideA2": -10,
+ "offsetA": 25,
+ "A_out": [ 999.0, 999.0, 999.0, 999.0, 999.0, 9.0, 999.0, 14.0, 999.0, 19.0, 999.0, 999.0, 999.0, 999.0, 999.0, 6.0, 999.0, 9.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 3.0, 999.0, 0.0, 999.0, 0.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1n_sa2.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1n_sa2.json
new file mode 100644
index 000000000000..3d1a5c7eb66d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1n_sa2.json
@@ -0,0 +1,22 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 0.0, 999.0, 1.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 1.0, 999.0, 2.0, 999.0, 999.0, 999.0, 999.0, 999.0, 1.0, 999.0, 2.0, 999.0, 3.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "strideA1": -2,
+ "strideA2": 10,
+ "offsetA": 9,
+ "A_out": [ 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 0.0, 999.0, 3.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 9.0, 999.0, 6.0, 999.0, 999.0, 999.0, 999.0, 999.0, 19.0, 999.0, 14.0, 999.0, 9.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1n_sa2n.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1n_sa2n.json
new file mode 100644
index 000000000000..f79b5c2d875a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_sa1n_sa2n.json
@@ -0,0 +1,22 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 999.0, 999.0, 999.0, 999.0, 999.0, 1.0, 999.0, 2.0, 999.0, 3.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 1.0, 999.0, 2.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 0.0, 999.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "strideA1": -2,
+ "strideA2": -10,
+ "offsetA": 29,
+ "A_out": [ 999.0, 999.0, 999.0, 999.0, 999.0, 19.0, 999.0, 14.0, 999.0, 9.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 9.0, 999.0, 6.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 0.0, 999.0, 3.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_u.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_u.json
new file mode 100644
index 000000000000..b1894cbf4417
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_u.json
@@ -0,0 +1,23 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 0.0, 0.0, 2.0, 1.0, 0.0, 3.0, 2.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 3.0, 0.0, 0.0, 6.0, 9.0, 0.0, 9.0, 14.0, 19.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_x0.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_x0.json
new file mode 100644
index 000000000000..676d5a2afbad
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_x0.json
@@ -0,0 +1,23 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 3,
+ "alpha": 2.0,
+ "x": [ 0.0, 0.0, 0.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 1.0, 1.0, 0.0, 2.0, 2.0, 0.0, 0.0, 3.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 1.0, 2.0, 0.0 ],
+ [ 1.0, 2.0, 3.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 1.0, 1.0, 1.0, 0.0, 2.0, 2.0, 0.0, 0.0, 3.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xnyn.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xnyn.json
new file mode 100644
index 000000000000..744672c9c428
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xnyn.json
@@ -0,0 +1,23 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0, 4.0, 5.0 ],
+ "strideX": -2,
+ "offsetX": 4,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": -1,
+ "offsetY": 2,
+ "A": [ 1.0, 0.0, 0.0, 2.0, 1.0, 0.0, 3.0, 2.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 31.0, 0.0, 0.0, 21.0, 13.0, 0.0, 11.0, 7.0, 3.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xnyp.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xnyp.json
new file mode 100644
index 000000000000..c085adde3edd
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xnyp.json
@@ -0,0 +1,23 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0, 4.0, 5.0 ],
+ "strideX": -2,
+ "offsetX": 4,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 0.0, 0.0, 2.0, 1.0, 0.0, 3.0, 2.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 11.0, 0.0, 0.0, 15.0, 13.0, 0.0, 19.0, 13.0, 7.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xpyn.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xpyn.json
new file mode 100644
index 000000000000..67f4204a7244
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xpyn.json
@@ -0,0 +1,23 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0, 4.0, 5.0 ],
+ "strideX": 2,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": -1,
+ "offsetY": 2,
+ "A": [ 1.0, 0.0, 0.0, 2.0, 1.0, 0.0, 3.0, 2.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 7.0, 0.0, 0.0, 13.0, 13.0, 0.0, 19.0, 15.0, 11.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xpyp.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xpyp.json
new file mode 100644
index 000000000000..050b538f3a0e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/column_major_xpyp.json
@@ -0,0 +1,23 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0, 4.0, 5.0 ],
+ "strideX": 2,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 0.0, 0.0, 2.0, 1.0, 0.0, 3.0, 2.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 3.0, 0.0, 0.0, 7.0, 13.0, 0.0, 11.0, 21.0, 31.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_complex_access_pattern.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_complex_access_pattern.json
new file mode 100644
index 000000000000..4b2d829d8a98
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_complex_access_pattern.json
@@ -0,0 +1,22 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": -1,
+ "offsetX": 2,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": -1,
+ "offsetY": 2,
+ "A": [ 999.0, 1.0, 999.0, 0.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 2.0, 999.0, 1.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 3.0, 999.0, 2.0, 999.0, 1.0, 999.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "strideA1": -14,
+ "strideA2": -2,
+ "offsetA": 33,
+ "A_out": [ 999.0, 3.0, 999.0, 0.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 6.0, 999.0, 9.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 9.0, 999.0, 14.0, 999.0, 19.0, 999.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_l.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_l.json
new file mode 100644
index 000000000000..51fba1589101
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_l.json
@@ -0,0 +1,23 @@
+{
+ "order": "row-major",
+ "uplo": "lower",
+ "N": 3,
+ "alpha": 2.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 0.0, 0.0, 1.0, 2.0, 0.0, 1.0, 2.0, 3.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 1.0, 2.0, 0.0 ],
+ [ 1.0, 2.0, 3.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 5.0, 0.0, 0.0, 9.0, 18.0, 0.0, 13.0, 26.0, 39.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_oa.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_oa.json
new file mode 100644
index 000000000000..479a714c6b6e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_oa.json
@@ -0,0 +1,22 @@
+{
+ "order": "row-major",
+ "uplo": "lower",
+ "N": 3,
+ "alpha": 2.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 999.0, 999.0, 999.0, 1.0, 0.0, 0.0, 1.0, 2.0, 0.0, 1.0, 2.0, 3.0, 999.0, 999.0, 999.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 1.0, 2.0, 0.0 ],
+ [ 1.0, 2.0, 3.0 ]
+ ],
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 3,
+ "A_out": [ 999.0, 999.0, 999.0, 5.0, 0.0, 0.0, 9.0, 18.0, 0.0, 13.0, 26.0, 39.0, 999.0, 999.0, 999.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_ox.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_ox.json
new file mode 100644
index 000000000000..9a8414deaea5
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_ox.json
@@ -0,0 +1,23 @@
+{
+ "order": "row-major",
+ "uplo": "lower",
+ "N": 3,
+ "alpha": 2.0,
+ "x": [ 0.0, 0.0, 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 2,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 0.0, 0.0, 1.0, 2.0, 0.0, 1.0, 2.0, 3.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 1.0, 2.0, 0.0 ],
+ [ 1.0, 2.0, 3.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 5.0, 0.0, 0.0, 9.0, 18.0, 0.0, 13.0, 26.0, 39.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_oy.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_oy.json
new file mode 100644
index 000000000000..c3dd14e648fc
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_oy.json
@@ -0,0 +1,23 @@
+{
+ "order": "row-major",
+ "uplo": "lower",
+ "N": 3,
+ "alpha": 2.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 0.0, 0.0, 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 2,
+ "A": [ 1.0, 0.0, 0.0, 1.0, 2.0, 0.0, 1.0, 2.0, 3.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 1.0, 2.0, 0.0 ],
+ [ 1.0, 2.0, 3.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 5.0, 0.0, 0.0, 9.0, 18.0, 0.0, 13.0, 26.0, 39.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1_sa2.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1_sa2.json
new file mode 100644
index 000000000000..5ea3d5ea7d9b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1_sa2.json
@@ -0,0 +1,22 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 999.0, 1.0, 999.0, 2.0, 999.0, 3.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 1.0, 999.0, 2.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 0.0, 999.0, 1.0, 999.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "strideA1": 14,
+ "strideA2": 2,
+ "offsetA": 1,
+ "A_out": [ 999.0, 3.0, 999.0, 6.0, 999.0, 9.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 9.0, 999.0, 14.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 0.0, 999.0, 19.0, 999.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1_sa2n.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1_sa2n.json
new file mode 100644
index 000000000000..73c4c2b2944c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1_sa2n.json
@@ -0,0 +1,22 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 999.0, 3.0, 999.0, 2.0, 999.0, 1.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 2.0, 999.0, 1.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 1.0, 999.0, 0.0, 999.0, 0.0, 999.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "strideA1": 14,
+ "strideA2": -2,
+ "offsetA": 5,
+ "A_out": [ 999.0, 9.0, 999.0, 6.0, 999.0, 3.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 14.0, 999.0, 9.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 19.0, 999.0, 0.0, 999.0, 0.0, 999.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1n_sa2.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1n_sa2.json
new file mode 100644
index 000000000000..ddad4a71d1c3
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1n_sa2.json
@@ -0,0 +1,22 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 999.0, 0.0, 999.0, 0.0, 999.0, 1.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 1.0, 999.0, 2.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 1.0, 999.0, 2.0, 999.0, 3.0, 999.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "strideA1": -14,
+ "strideA2": 2,
+ "offsetA": 29,
+ "A_out": [ 999.0, 0.0, 999.0, 0.0, 999.0, 19.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 0.0, 999.0, 9.0, 999.0, 14.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 3.0, 999.0, 6.0, 999.0, 9.0, 999.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1n_sa2n.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1n_sa2n.json
new file mode 100644
index 000000000000..0714bb5216b1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_sa1n_sa2n.json
@@ -0,0 +1,22 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 999.0, 1.0, 999.0, 0.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 2.0, 999.0, 1.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 3.0, 999.0, 2.0, 999.0, 1.0, 999.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "strideA1": -14,
+ "strideA2": -2,
+ "offsetA": 33,
+ "A_out": [ 999.0, 19.0, 999.0, 0.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 14.0, 999.0, 9.0, 999.0, 0.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 999.0, 9.0, 999.0, 6.0, 999.0, 3.0, 999.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_u.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_u.json
new file mode 100644
index 000000000000..f80b53dd8098
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_u.json
@@ -0,0 +1,23 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 3.0, 6.0, 9.0, 0.0, 9.0, 14.0, 0.0, 0.0, 19.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_x0.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_x0.json
new file mode 100644
index 000000000000..4d92c23bd1d7
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_x0.json
@@ -0,0 +1,23 @@
+{
+ "order": "row-major",
+ "uplo": "lower",
+ "N": 3,
+ "alpha": 2.0,
+ "x": [ 0.0, 0.0, 0.0 ],
+ "strideX": 1,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 0.0, 0.0, 1.0, 2.0, 0.0, 1.0, 2.0, 3.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 1.0, 2.0, 0.0 ],
+ [ 1.0, 2.0, 3.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 1.0, 0.0, 0.0, 1.0, 2.0, 0.0, 1.0, 2.0, 3.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xnyn.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xnyn.json
new file mode 100644
index 000000000000..b48a8031f642
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xnyn.json
@@ -0,0 +1,23 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0, 4.0, 5.0 ],
+ "strideX": -2,
+ "offsetX": 4,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": -1,
+ "offsetY": 2,
+ "A": [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 31.0, 21.0, 11.0, 0.0, 13.0, 7.0, 0.0, 0.0, 3.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xnyp.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xnyp.json
new file mode 100644
index 000000000000..abace8cac760
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xnyp.json
@@ -0,0 +1,23 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0, 4.0, 5.0 ],
+ "strideX": -2,
+ "offsetX": 4,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 11.0, 15.0, 19.0, 0.0, 13.0, 13.0, 0.0, 0.0, 7.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xpyn.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xpyn.json
new file mode 100644
index 000000000000..5fa9ff90290e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xpyn.json
@@ -0,0 +1,23 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0, 4.0, 5.0 ],
+ "strideX": 2,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": -1,
+ "offsetY": 2,
+ "A": [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 7.0, 13.0, 19.0, 0.0, 13.0, 15.0, 0.0, 0.0, 11.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xpyp.json b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xpyp.json
new file mode 100644
index 000000000000..4016d0ce3858
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/fixtures/row_major_xpyp.json
@@ -0,0 +1,23 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 3,
+ "alpha": 1.0,
+ "x": [ 1.0, 2.0, 3.0, 4.0, 5.0 ],
+ "strideX": 2,
+ "offsetX": 0,
+ "y": [ 1.0, 2.0, 3.0 ],
+ "strideY": 1,
+ "offsetY": 0,
+ "A": [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 0.0, 1.0, 2.0 ],
+ [ 0.0, 0.0, 1.0 ]
+ ],
+ "lda": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 3.0, 7.0, 11.0, 0.0, 13.0, 21.0, 0.0, 0.0, 31.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/test.js b/lib/node_modules/@stdlib/blas/base/gsyr2/test/test.js
new file mode 100644
index 000000000000..03e2d67dcc14
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/test.js
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var gsyr2 = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof gsyr2, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof gsyr2.ndarray, 'function', 'method is a function' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/test.main.js b/lib/node_modules/@stdlib/blas/base/gsyr2/test/test.main.js
new file mode 100644
index 000000000000..28ce1468e201
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/test.main.js
@@ -0,0 +1,1136 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var copy = require( '@stdlib/array/base/copy' );
+var gsyr2 = require( './../lib/main.js' );
+
+
+// FIXTURES //
+
+var ru = require( './fixtures/row_major_u.json' );
+var rl = require( './fixtures/row_major_l.json' );
+var rx0 = require( './fixtures/row_major_x0.json' );
+var rxpyp = require( './fixtures/row_major_xpyp.json' );
+var rxnyp = require( './fixtures/row_major_xnyp.json' );
+var rxpyn = require( './fixtures/row_major_xpyn.json' );
+var rxnyn = require( './fixtures/row_major_xnyn.json' );
+var cu = require( './fixtures/column_major_u.json' );
+var cl = require( './fixtures/column_major_l.json' );
+var cx0 = require( './fixtures/column_major_x0.json' );
+var cxpyp = require( './fixtures/column_major_xpyp.json' );
+var cxnyp = require( './fixtures/column_major_xnyp.json' );
+var cxpyn = require( './fixtures/column_major_xpyn.json' );
+var cxnyn = require( './fixtures/column_major_xnyn.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof gsyr2, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 10', function test( t ) {
+ t.strictEqual( gsyr2.length, 10, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided an invalid first argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop'
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( value, data.uplo, data.N, data.alpha, data.x, data.strideX, data.y, data.strideY, data.A, data.lda );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid first argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop'
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( value, data.uplo, data.N, data.alpha, toAccessorArray( data.x ), data.strideX, toAccessorArray( data.y ), data.strideY, toAccessorArray( data.A ), data.lda );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid second argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop'
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.order, value, data.N, data.alpha, data.x, data.strideX, data.y, data.strideY, data.A, data.lda );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid second argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop'
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.order, value, data.N, data.alpha, toAccessorArray( data.x ), data.strideX, toAccessorArray( data.y ), data.strideY, toAccessorArray( data.A ), data.lda );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid third argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.order, data.uplo, value, data.alpha, data.x, data.strideX, data.y, data.strideY, data.A, data.lda );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid third argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.order, data.uplo, value, data.alpha, toAccessorArray( data.x ), data.strideX, toAccessorArray( data.y ), data.strideY, toAccessorArray( data.A ), data.lda );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid sixth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.order, data.uplo, data.N, data.alpha, data.x, value, data.y, data.strideY, data.A, data.lda );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid sixth argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.order, data.uplo, data.N, data.alpha, toAccessorArray( data.x ), value, toAccessorArray( data.y ), data.strideY, toAccessorArray( data.A ), data.lda );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid eighth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.order, data.uplo, data.N, data.alpha, data.x, data.strideX, data.y, value, data.A, data.lda );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid eighth argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.order, data.uplo, data.N, data.alpha, toAccessorArray( data.x ), data.strideX, toAccessorArray( data.y ), value, toAccessorArray( data.A ), data.lda );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid tenth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 2,
+ 1,
+ 0,
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.order, data.uplo, data.N, data.alpha, data.x, data.strideX, data.y, data.strideY, data.A, value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid tenth argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 2,
+ 1,
+ 0,
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.order, data.uplo, data.N, data.alpha, toAccessorArray( data.x ), data.strideX, toAccessorArray( data.y ), data.strideY, toAccessorArray( data.A ), value );
+ };
+ }
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = ru;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, upper) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = ru;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cu;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, upper) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cu;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rl;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, lower) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rl;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cl;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, lower) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cl;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, zero-vector)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rx0;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, zero-vector)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cx0;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a reference to the input matrix `A`', function test( t ) {
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = ru;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a reference to the input matrix `A` (accessors)', function test( t ) {
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = ru;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rl;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A;
+
+ out = gsyr2( data.order, data.uplo, 0, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( a, expected, 'returns expected value' );
+
+ out = gsyr2( data.order, data.uplo, data.N, 0.0, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( a, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rl;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A;
+
+ out = gsyr2( data.order, data.uplo, 0, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ out = gsyr2( data.order, data.uplo, data.N, 0.0, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cl;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A;
+
+ out = gsyr2( data.order, data.uplo, 0, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( a, expected, 'returns expected value' );
+
+ out = gsyr2( data.order, data.uplo, data.N, 0.0, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( a, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cl;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A;
+
+ out = gsyr2( data.order, data.uplo, 0, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ out = gsyr2( data.order, data.uplo, data.N, 0.0, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying `x` and `y` strides (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxpyp;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying `x` and `y` strides (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxpyp;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying `x` and `y` strides (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxpyp;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying `x` and `y` strides (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxpyp;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `x` stride (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxnyp;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `x` stride (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxnyp;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `x` stride (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxnyp;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `x` stride (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxnyp;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `y` stride (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxpyn;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `y` stride (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxpyn;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `y` stride (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxpyn;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `y` stride (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxpyn;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports complex access patterns (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxnyn;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports complex access patterns (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxnyn;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports complex access patterns (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxnyn;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports complex access patterns (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxnyn;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/base/gsyr2/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/base/gsyr2/test/test.ndarray.js
new file mode 100644
index 000000000000..734e700e488b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/gsyr2/test/test.ndarray.js
@@ -0,0 +1,1954 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var copy = require( '@stdlib/array/base/copy' );
+var gsyr2 = require( './../lib/ndarray.js' );
+
+
+// FIXTURES //
+
+var ru = require( './fixtures/row_major_u.json' );
+var rl = require( './fixtures/row_major_l.json' );
+var rx0 = require( './fixtures/row_major_x0.json' );
+var rxpyp = require( './fixtures/row_major_xpyp.json' );
+var rxnyp = require( './fixtures/row_major_xnyp.json' );
+var rxpyn = require( './fixtures/row_major_xpyn.json' );
+var rxnyn = require( './fixtures/row_major_xnyn.json' );
+var roa = require( './fixtures/row_major_oa.json' );
+var rox = require( './fixtures/row_major_ox.json' );
+var roy = require( './fixtures/row_major_oy.json' );
+var rsa1sa2 = require( './fixtures/row_major_sa1_sa2.json' );
+var rsa1nsa2 = require( './fixtures/row_major_sa1n_sa2.json' );
+var rsa1sa2n = require( './fixtures/row_major_sa1_sa2n.json' );
+var rsa1nsa2n = require( './fixtures/row_major_sa1n_sa2n.json' );
+var rcap = require( './fixtures/row_major_complex_access_pattern.json' );
+var cu = require( './fixtures/column_major_u.json' );
+var cl = require( './fixtures/column_major_l.json' );
+var cx0 = require( './fixtures/column_major_x0.json' );
+var cxpyp = require( './fixtures/column_major_xpyp.json' );
+var cxnyp = require( './fixtures/column_major_xnyp.json' );
+var cxpyn = require( './fixtures/column_major_xpyn.json' );
+var cxnyn = require( './fixtures/column_major_xnyn.json' );
+var coa = require( './fixtures/column_major_oa.json' );
+var cox = require( './fixtures/column_major_ox.json' );
+var coy = require( './fixtures/column_major_oy.json' );
+var csa1sa2 = require( './fixtures/column_major_sa1_sa2.json' );
+var csa1nsa2 = require( './fixtures/column_major_sa1n_sa2.json' );
+var csa1sa2n = require( './fixtures/column_major_sa1_sa2n.json' );
+var csa1nsa2n = require( './fixtures/column_major_sa1n_sa2n.json' );
+var ccap = require( './fixtures/column_major_complex_access_pattern.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof gsyr2, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 13', function test( t ) {
+ t.strictEqual( gsyr2.length, 13, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided an invalid first argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop'
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( value, data.N, data.alpha, data.x, data.strideX, data.offsetX, data.y, data.strideY, data.offsetY, data.A, data.strideA1, data.strideA2, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid first argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop'
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( value, data.N, data.alpha, toAccessorArray( data.x ), data.strideX, data.offsetX, toAccessorArray( data.y ), data.strideY, data.offsetY, toAccessorArray( data.A ), data.strideA1, data.strideA2, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid second argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.uplo, value, data.alpha, data.x, data.strideX, data.offsetX, data.y, data.strideY, data.offsetY, data.A, data.strideA1, data.strideA2, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid second argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.uplo, value, data.alpha, toAccessorArray( data.x ), data.strideX, data.offsetX, toAccessorArray( data.y ), data.strideY, data.offsetY, toAccessorArray( data.A ), data.strideA1, data.strideA2, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid fifth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.uplo, data.N, data.alpha, data.x, value, data.offsetX, data.y, data.strideY, data.offsetY, data.A, data.strideA1, data.strideA2, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid fifth argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.uplo, data.N, data.alpha, toAccessorArray( data.x ), value, data.offsetX, toAccessorArray( data.y ), data.strideY, data.offsetY, toAccessorArray( data.A ), data.strideA1, data.strideA2, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid eighth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.uplo, data.N, data.alpha, data.x, data.strideX, data.offsetX, data.y, value, data.offsetY, data.A, data.strideA1, data.strideA2, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid eighth argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.uplo, data.N, data.alpha, toAccessorArray( data.x ), data.strideX, data.offsetX, toAccessorArray( data.y ), value, data.offsetY, toAccessorArray( data.A ), data.strideA1, data.strideA2, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid eleventh argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.uplo, data.N, data.alpha, data.x, data.strideX, data.offsetX, data.y, data.strideY, data.offsetY, data.A, value, data.strideA2, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid eleventh argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.uplo, data.N, data.alpha, toAccessorArray( data.x ), data.strideX, data.offsetX, toAccessorArray( data.y ), data.strideY, data.offsetY, toAccessorArray( data.A ), value, data.strideA2, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid twelfth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.uplo, data.N, data.alpha, data.x, data.strideX, data.offsetX, data.y, data.strideY, data.offsetY, data.A, data.strideA1, value, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid twelfth argument (accessors)', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = ru;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ gsyr2( data.uplo, data.N, data.alpha, toAccessorArray( data.x ), data.strideX, data.offsetX, toAccessorArray( data.y ), data.strideY, data.offsetY, toAccessorArray( data.A ), data.strideA1, value, data.offsetA );
+ };
+ }
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = ru;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, upper) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = ru;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cu;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, upper) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cu;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rl;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, lower) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rl;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cl;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, lower) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cl;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, zero-vector)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rx0;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, zero-vector) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rx0;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, zero-vector)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cx0;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, zero-vector) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cx0;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a reference to the input matrix `A`', function test( t ) {
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = ru;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a reference to the input matrix `A` (accessors)', function test( t ) {
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = ru;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rl;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A;
+
+ out = gsyr2( data.uplo, 0, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( a, expected, 'returns expected value' );
+
+ out = gsyr2( data.uplo, data.N, 0.0, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( a, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rl;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A;
+
+ out = gsyr2( data.uplo, 0, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ out = gsyr2( data.uplo, data.N, 0.0, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cl;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A;
+
+ out = gsyr2( data.uplo, 0, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( a, expected, 'returns expected value' );
+
+ out = gsyr2( data.uplo, data.N, 0.0, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( a, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cl;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A;
+
+ out = gsyr2( data.uplo, 0, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ out = gsyr2( data.uplo, data.N, 0.0, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying the strides for the first and the second dimensions of `A` (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rsa1sa2;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying the strides for the first and the second dimensions of `A` (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rsa1sa2;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying the strides for the first and the second dimensions of `A` (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = csa1sa2;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying the strides for the first and the second dimensions of `A` (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = csa1sa2;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the first dimension of `A` (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rsa1nsa2;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the first dimension of `A` (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rsa1nsa2;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the first dimension of `A` (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = csa1nsa2;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the first dimension of `A` (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = csa1nsa2;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the second dimension of `A` (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rsa1sa2n;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the second dimension of `A` (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rsa1sa2n;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the second dimension of `A` (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = csa1sa2n;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the second dimension of `A` (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = csa1sa2n;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports negative strides for `A` (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rsa1nsa2n;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports negative strides for `A` (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rsa1nsa2n;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports negative strides for `A` (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = csa1nsa2n;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports negative strides for `A` (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = csa1nsa2n;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying an `A` offset (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = roa;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying an `A` offset (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = roa;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying an `A` offset (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = coa;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying an `A` offset (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = coa;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying `x` and `y` strides (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxpyp;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying `x` and `y` strides (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxpyp;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying `x` and `y` strides (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxpyp;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying `x` and `y` strides (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxpyp;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `x` stride (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxnyp;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `x` stride (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxnyp;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `x` stride (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxnyp;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `x` stride (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxnyp;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `y` stride (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxpyn;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `y` stride (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxpyn;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `y` stride (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxpyn;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative `y` stride (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxpyn;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying negative strides for `x` and `y` (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxnyn;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying negative strides for `x` and `y` (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rxnyn;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying negative strides for `x` and `y` (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxnyn;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying negative strides for `x` and `y` (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cxnyn;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying an `x` offset (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rox;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying an `x` offset (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rox;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying an `x` offset (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cox;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying an `x` offset (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = cox;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a `y` offset (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = roy;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a `y` offset (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = roy;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a `y` offset (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = coy;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a `y` offset (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = coy;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports complex access patterns (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rcap;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports complex access patterns (row-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = rcap;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports complex access patterns (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = ccap;
+
+ a = copy( data.A );
+ x = copy( data.x );
+ y = copy( data.y );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports complex access patterns (column-major) (accessors)', function test( t ) {
+ var expected;
+ var abuf;
+ var data;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ data = ccap;
+
+ abuf = copy( data.A );
+ a = toAccessorArray( abuf );
+ x = toAccessorArray( copy( data.x ) );
+ y = toAccessorArray( copy( data.y ) );
+
+ expected = data.A_out;
+
+ out = gsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, a, 'returns expected value' );
+ t.deepEqual( abuf, expected, 'returns expected value' );
+
+ t.end();
+});