diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/README.md b/lib/node_modules/@stdlib/blas/base/dsymm/README.md
new file mode 100644
index 000000000000..e090eefe0c49
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/README.md
@@ -0,0 +1,259 @@
+
+
+# dsymm
+
+> Perform the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` where `α` and `β` are scalars, `A` is a symmetric matrix and `B` and `C` are `M` by `N` matrices.
+
+
+
+## Usage
+
+```javascript
+var dsymm = require( '@stdlib/blas/base/dsymm' );
+```
+
+#### dsymm( ord, side, uplo, M, N, α, A, lda, B, ldb, β, C, ldc )
+
+Performs the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` where `α` and `β` are scalars, `A` is a symmetric matrix and `B` and `C` are `M` by `N` matrices.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 3.0 ] );
+var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+
+dsymm( 'row-major', 'left', 'lower', 3, 3, 1.0, A, 3, B, 3, 1.0, C, 3 );
+// C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+```
+
+The function has the following parameters:
+
+- **ord**: storage layout.
+- **side**: specifies whether `A` appears on the left or right of `B`.
+- **uplo**: specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied.
+- **M**: number of rows in the matrix `op(A)` and in the matrix `C`.
+- **N**: number of columns in the matrix `op(B)` and in the matrix `C`.
+- **α**: scalar constant.
+- **A**: first input matrix stored in linear memory as a [`Float64Array`][mdn-float64array].
+- **lda**: stride of the first dimension of `A` (leading dimension of `A`).
+- **B**: second input matrix stored in linear memory as a [`Float64Array`][mdn-float64array].
+- **ldb**: stride of the first dimension of `B` (leading dimension of `B`).
+- **β**: scalar constant
+- **C**: third input matrix stored in linear memory as a [`Float64Array`][mdn-float64array].
+- **ldc**: stride of the first dimension of `C` (leading dimension of `C`).
+
+The stride parameters determine how elements in the input arrays are accessed at runtime. For example, to perform matrix multiplication of two subarrays
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 2.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 3.0, 0.0, 0.0, 0.0 ] );
+var B = new Float64Array( [ 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0 ] );
+var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+
+dsymm( 'row-major', 'left', 'lower', 3, 3, 1.0, A, 6, B, 6, 1.0, C, 3 );
+// C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+```
+
+
+
+#### dsymm.ndarray( side, uplo, M, N, α, A, sa1, sa2, oa, B, sb1, sb2, ob, β, C, sc1, sc2, oc )
+
+Performs the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` using alternative indexing semantics and where `α` and `β` are scalars, `A` is a symmetric matrix and `B` and `C` are `M` by `N` matrices.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 3.0 ] );
+var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+
+dsymm.ndarray( 'left', 'lower', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 );
+// C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+```
+
+The function has the following additional parameters:
+
+- **sa1**: stride of the first dimension of `A`.
+- **sa2**: stride of the second dimension of `A`.
+- **oa**: starting index for `A`.
+- **sb1**: stride of the first dimension of `B`.
+- **sb2**: stride of the second dimension of `B`.
+- **ob**: starting index for `B`.
+- **sc1**: stride of the first dimension of `C`.
+- **sc2**: stride of the second dimension of `C`.
+- **oc**: starting index for `C`.
+
+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 Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 0.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 3.0 ] );
+var B = new Float64Array( [ 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+var C = new Float64Array( [ 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+
+dsymm.ndarray( 'left', 'lower', 3, 3, 1.0, A, 3, 1, 1, B, 3, 1, 2, 1.0, C, 3, 1, 3 );
+// C => [ 0.0, 0.0, 0.0, 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- `dsymm()` corresponds to the [BLAS][blas] level 3 function [`dsymm`][blas-dsymm].
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var dsymm = require( '@stdlib/blas/base/dsymm' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var M = 3;
+var N = 3;
+
+var A = discreteUniform( M*N, 0, 10, opts );
+var B = discreteUniform( M*N, 0, 10, opts );
+var C = discreteUniform( M*N, 0, 10, opts );
+
+dsymm( 'row-major', 'left', 'lower', M, N, 1.0, A, M, B, N, 1.0, C, N );
+console.log( C );
+
+dsymm.ndarray( 'left', 'lower', M, N, 1.0, A, M, 1, 0, B, N, 1, 0, 1.0, C, N, 1, 0 );
+console.log( C );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/blas/base/dsymm.h"
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[blas]: http://www.netlib.org/blas
+
+[blas-dsymm]: https://www.netlib.org/lapack/explore-html-3.6.1/d1/d54/group__double__blas__level3_ga253c8edb8b21d1b5b1783725c2a6b692.html
+
+[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/dsymm/benchmark/benchmark.js
new file mode 100644
index 000000000000..633c1689066c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/benchmark/benchmark.js
@@ -0,0 +1,105 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 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 dsymm = require( './../lib/dsymm.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} N - array dimension size
+* @returns {Function} benchmark function
+*/
+function createBenchmark( N ) {
+ var A = uniform( N*N, -10.0, 10.0, options );
+ var B = uniform( N*N, -10.0, 10.0, options );
+ var C = 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 = dsymm( 'row-major', 'left', 'lower', N, N, 1.0, A, N, B, N, 1.0, C, 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 len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 5; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+ f = createBenchmark( len );
+ bench( pkg+':size='+(len*len), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/base/dsymm/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..651389b233c8
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/benchmark/benchmark.ndarray.js
@@ -0,0 +1,105 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 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 dsymm = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} N - array dimension size
+* @returns {Function} benchmark function
+*/
+function createBenchmark( N ) {
+ var A = uniform( N*N, -10.0, 10.0, options );
+ var B = uniform( N*N, -10.0, 10.0, options );
+ var C = 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 = dsymm( 'left', 'lower', N, N, 1.0, A, N, 1, 0, B, N, 1, 0, 1.0, C, 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 len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 5; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+ f = createBenchmark( len );
+ bench( pkg+':ndarray:size='+(len*len), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/dsymm/docs/repl.txt
new file mode 100644
index 000000000000..d07e8109de3c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/docs/repl.txt
@@ -0,0 +1,158 @@
+
+{{alias}}( ord, side, uplo, M, N, α, A, lda, B, ldb, β, C, ldc )
+ Performs the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C`
+ where `α` and `β` are scalars, `A` is a symmetric matrix and `B` and `C` are
+ `M` by `N` matrices.
+
+ Indexing is relative to the first index. To introduce an offset, use typed
+ array views.
+
+ If `M` or `N` is equal to `0`, the function returns `C` unchanged.
+
+ If `α` equals `0` and `β` equals `1`, the function returns `C` unchanged.
+
+ Parameters
+ ----------
+ ord: string
+ Row-major (C-style) or column-major (Fortran-style) order. Must be
+ either 'row-major' or 'column-major'.
+
+ side: string
+ Specifies whether `A` multiplies `B` from the left or right.
+
+ uplo: string
+ Specifies whether `A` is an upper or lower triangular matrix.
+
+ M: integer
+ Number of rows in the matrix `C`.
+
+ N: integer
+ Number of rows in the matrix `C`.
+
+ α: number
+ Scalar constant.
+
+ A: Float64Array
+ First matrix.
+
+ lda: integer
+ Stride of the first dimension of `A` (a.k.a., leading dimension of the
+ matrix `A`).
+
+ B: Float64Array
+ Second matrix.
+
+ ldb: integer
+ Stride of the first dimension of `B` (a.k.a., leading dimension of the
+ matrix `B`).
+
+ β: number
+ Scalar constant.
+
+ C: Float64Array
+ Third matrix.
+
+ ldc: integer
+ Stride of the first dimension of `C` (a.k.a., leading dimension of the
+ matrix `C`).
+
+ Returns
+ -------
+ C: Float64Array
+ Third matrix.
+
+ Examples
+ --------
+ // Standard usage:
+ > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0, 1.0, 2.0 ] );
+ > var B = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0, 1.0, 1.0 ] );
+ > var C = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0, 1.0, 1.0 ] );
+ > var ord = 'row-major';
+ > var side = 'left';
+ > var uplo = 'lower';
+ > {{alias}}( ord, side, uplo, 2, 2, 1.0, A, 2, B, 2, 1.0, C, 2 )
+ [ 3.0, 3.0, 4.0, 4.0 ]
+
+
+{{alias}}.ndarray(side,uplo,M,N,α,A,sa1,sa2,oa,B,sb1,sb2,ob,β,C,sc1,sc2,oc)
+ Performs the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C`
+ using alternative indexing semantics and where `α` and `β` are scalars, `A`
+ is a symmetric matrix and `B` and `C` are `M` by `N` matrices.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ side: string
+ Specifies whether `A` multiplies `B` from the left or right.
+
+ uplo: string
+ Specifies whether `A` is an upper or lower triangular matrix.
+
+ M: integer
+ Number of rows in the matrix `C`.
+
+ N: integer
+ Number of rows in the matrix `C`.
+
+ α: number
+ Scalar constant.
+
+ A: Float64Array
+ First 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`.
+
+ B: Float64Array
+ Second matrix.
+
+ sb1: integer
+ Stride of the first dimension of `B`.
+
+ sb2: integer
+ Stride of the second dimension of `B`.
+
+ ob: integer
+ Starting index for `B`.
+
+ β: number
+ Scalar constant.
+
+ C: Float64Array
+ Third matrix.
+
+ sc1: integer
+ Stride of the first dimension of `C`.
+
+ sc2: integer
+ Stride of the second dimension of `C`.
+
+ oc: integer
+ Starting index for `C`.
+
+ Returns
+ -------
+ C: Float64Array
+ Third matrix.
+
+ Examples
+ --------
+ > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0, 1.0, 2.0 ] );
+ > var B = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0, 1.0, 1.0 ] );
+ > var C = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0, 1.0, 1.0 ] );
+ > var side = 'left';
+ > var uplo = 'lower';
+ > {{alias}}.ndarray(side,uplo,2,2,1.0,A,2,1,0,B,2,1,0,1.0,C,2,1,0)
+ [ 3.0, 3.0, 4.0, 4.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/dsymm/docs/types/index.d.ts
new file mode 100644
index 000000000000..75b954b17cae
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/docs/types/index.d.ts
@@ -0,0 +1,138 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 { Layout, MatrixTriangle, OperationSide } from '@stdlib/types/blas';
+
+/**
+* Interface describing `dsymm`.
+*/
+interface Routine {
+ /**
+ * Performs the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` where `α` and `β` are scalars, `A` is a symmetric matrix and `B` and `C` are `M` by `N` matrices.
+ *
+ * @param order - storage layout
+ * @param side - specifies whether `A` appears on the left or right of `B`
+ * @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied
+ * @param M - number of rows in the matrix `C`
+ * @param N - number of columns in the matrix `C`
+ * @param alpha - scalar constant
+ * @param A - first matrix
+ * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+ * @param B - second matrix
+ * @param LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`)
+ * @param beta - scalar constant
+ * @param C - third matrix
+ * @param LDC - stride of the first dimension of `C` (a.k.a., leading dimension of the matrix `C`)
+ * @returns `C`
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var A = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 3.0 ] );
+ * var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+ * var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+ *
+ * dsymm( 'row-major', 'left', 'lower', 3, 3, 1.0, A, 3, B, 3, 1.0, C, 3 );
+ * // C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+ */
+ ( order: Layout, side: OperationSide, uplo: MatrixTriangle, M: number, N: number, alpha: number, A: Float64Array, LDA: number, B: Float64Array, LDB: number, beta: number, C: Float64Array, LDC: number ): Float64Array;
+
+ /**
+ * Performs the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` using alternative indexing semantics and where `α` and `β` are scalars, `A` is a symmetric matrix and `B` and `C` are `M` by `N` matrices.
+ *
+ * @param side - specifies whether `A` appears on the left or right of `B`
+ * @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied
+ * @param M - number of rows in the matrix `C`
+ * @param N - number of columns in the matrix `C`
+ * @param alpha - scalar constant
+ * @param A - first 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`
+ * @param B - second matrix
+ * @param strideB1 - stride of the first dimension of `B`
+ * @param strideB2 - stride of the second dimension of `B`
+ * @param offsetB - starting index for `B`
+ * @param beta - scalar constant
+ * @param C - third matrix
+ * @param strideC1 - stride of the first dimension of `C`
+ * @param strideC2 - stride of the second dimension of `C`
+ * @param offsetC - starting index for `C`
+ * @returns `C`
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var A = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 3.0 ] );
+ * var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+ * var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+ *
+ * dsymm.ndarray( 'left', 'lower', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 );
+ * // C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+ */
+ ndarray( side: OperationSide, uplo: MatrixTriangle, M: number, N: number, alpha: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, B: Float64Array, strideB1: number, strideB2: number, offsetB: number, beta: number, C: Float64Array, strideC1: number, strideC2: number, offsetC: number ): Float64Array;
+}
+
+/**
+* Performs the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` where `α` and `β` are scalars, `A` is a symmetric matrix and `B` and `C` are `M` by `N` matrices.
+*
+* @param order - storage layout
+* @param side - specifies whether `A` appears on the left or right of `B`
+* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied
+* @param M - number of rows in the matrix `C`
+* @param N - number of columns in the matrix `C`
+* @param alpha - scalar constant
+* @param A - first matrix
+* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param B - second matrix
+* @param LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`)
+* @param beta - scalar constant
+* @param C - third matrix
+* @param LDC - stride of the first dimension of `C` (a.k.a., leading dimension of the matrix `C`)
+* @returns `C`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
+* var B = new Float64Array( [ 1.0, 0.0, 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
+*
+* dsymm( 'row-major', 'left', 'lower', 3, 3, 1.0, A, 3, B, 3, 1.0, C, 3 );
+* // C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
+* var B = new Float64Array( [ 1.0, 0.0, 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
+*
+* dsymm.ndarray( 'left', 'lower', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 );
+* // C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+*/
+declare var dsymm: Routine;
+
+
+// EXPORTS //
+
+export = dsymm;
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/dsymm/docs/types/test.ts
new file mode 100644
index 000000000000..56e54fda17ab
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/docs/types/test.ts
@@ -0,0 +1,585 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 dsymm = require( './index' );
+
+
+// TESTS //
+
+// The function returns a Float64Array...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 10, 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( true, 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( false, 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( null, 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( undefined, 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( [], 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( {}, 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( ( A: number ): number => A, 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a string...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 10, 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', true, 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', false, 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', null, 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', undefined, 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', [ '1' ], 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', {}, 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', ( A: number ): number => A, 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a string...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 10, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', true, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', false, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', null, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', undefined, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', [ '1' ], 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', {}, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', ( A: number ): number => A, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', '10', 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', true, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', false, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', null, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', undefined, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', [], 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', {}, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', ( A: number ): number => A, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', 5, '10', 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, true, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, false, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, null, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, undefined, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, [], 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, {}, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, ( A: number ): number => A, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', 5, 5, '10', A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, true, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, false, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, null, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, undefined, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, [], A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, {}, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, ( A: number ): number => A, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an seventh argument which is not a Float64Array...
+{
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, 10, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, '10', 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, true, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, false, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, null, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, undefined, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, [ '1' ], 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, {}, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, ( A: number ): number => A, 5, B, 5, 1.0, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a eighth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, '10', B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, true, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, false, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, null, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, undefined, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, [], B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, {}, B, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, ( A: number ): number => A, B, 5, 1.0, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a ninth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, 10, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, '10', 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, true, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, false, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, null, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, undefined, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, [ '1' ], 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, {}, 5, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, ( A: number ): number => A, 5, 1.0, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an tenth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, '10', 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, true, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, false, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, null, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, undefined, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, [], 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, {}, 1.0, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, ( A: number ): number => A, 1.0, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a eleventh argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, '10', C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, true, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, false, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, null, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, undefined, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, [], C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, {}, C, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, ( A: number ): number => A, C, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a twelfth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, 10, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, '10', 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, true, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, false, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, null, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, undefined, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, [ '1' ], 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, {}, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, ( A: number ): number => A, 5 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a thirteenth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, '10' ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, true ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, false ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, null ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, undefined ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, [] ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, {} ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, ( A: number ): number => A ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm(); // $ExpectError
+ dsymm( 'row-major' ); // $ExpectError
+ dsymm( 'row-major', 'left' ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower' ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0 ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C ); // $ExpectError
+ dsymm( 'row-major', 'left', 'lower', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a Float64Array...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 10, 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( true, 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( false, 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( null, 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( undefined, 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( [ '1' ], 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( {}, 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( ( A: number ): number => A, 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a string...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 10, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', true, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', false, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', null, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', undefined, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', [ '1' ], 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', {}, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', ( A: number ): number => A, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', '10', 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', true, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', false, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', null, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', undefined, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', [], 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', {}, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', ( A: number ): number => A, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, '10', 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, true, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, false, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, null, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, undefined, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, [], 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, {}, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, ( A: number ): number => A, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, '10', 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, true, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, false, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, null, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, undefined, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, [], 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, {}, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, ( A: number ): number => A, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, 10, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, '10', 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, true, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, false, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, null, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, undefined, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, [ '1' ], 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, {}, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, ( A: number ): number => A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an seventh argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, '10', 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, true, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, false, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, null, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, undefined, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, [], 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, {}, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, ( A: number ): number => A, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a eighth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, '10', 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, true, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, false, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, null, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, undefined, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, [], 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, {}, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, ( A: number ): number => A, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a ninth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, '10', B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, true, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, false, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, null, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, undefined, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, [], B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, {}, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, ( A: number ): number => A, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an tenth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, 10, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, '10', 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, true, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, false, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, null, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, undefined, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, [ '1' ], 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, {}, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, ( A: number ): number => A, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a eleventh argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, '10', 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, true, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, false, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, null, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, undefined, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, [], 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, {}, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, ( A: number ): number => A, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a twelfth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, '10', 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, true, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, false, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, null, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, undefined, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, [], 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, {}, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, ( A: number ): number => A, 0, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a thirteenth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, '10', 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, true, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, false, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, null, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, undefined, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, [], 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, {}, 1.0, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, ( A: number ): number => A, 1.0, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourteenth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, '10', C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, true, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, false, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, null, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, undefined, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, [], C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, {}, C, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, ( A: number ): number => A, C, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifteenth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, 10, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, '10', 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, true, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, false, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, null, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, undefined, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, [ '1' ], 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, {}, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, ( A: number ): number => A, 5, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixteenth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, '10', 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, true, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, false, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, null, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, undefined, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, [], 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, {}, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, ( A: number ): number => A, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an seventeenth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, '10', 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, true, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, false, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, null, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, undefined, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, [], 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, {}, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, ( A: number ): number => A, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a eighteenth argument which is not a number...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, '10' ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, true ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, false ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, null ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, undefined ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, [] ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, {} ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, ( A: number ): number => A ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const A = new Float64Array( 25 );
+ const B = new Float64Array( 25 );
+ const C = new Float64Array( 25 );
+
+ dsymm.ndarray(); // $ExpectError
+ dsymm.ndarray( 'left' ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower' ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 5 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1 ); // $ExpectError
+ dsymm.ndarray( 'left', 'lower', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/examples/index.js b/lib/node_modules/@stdlib/blas/base/dsymm/examples/index.js
new file mode 100644
index 000000000000..75104fb3d919
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/examples/index.js
@@ -0,0 +1,39 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 dsymm = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var M = 3;
+var N = 3;
+
+var A = discreteUniform( M*N, 0, 10, opts );
+var B = discreteUniform( M*N, 0, 10, opts );
+var C = discreteUniform( M*N, 0, 10, opts );
+
+dsymm( 'row-major', 'left', 'lower', M, N, 1.0, A, M, B, N, 1.0, C, N );
+console.log( C );
+
+dsymm.ndarray( 'left', 'lower', M, N, 1.0, A, M, 1, 0, B, N, 1, 0, 1.0, C, N, 1, 0 );
+console.log( C );
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/lib/base.js b/lib/node_modules/@stdlib/blas/base/dsymm/lib/base.js
new file mode 100644
index 000000000000..26b8aa463040
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/lib/base.js
@@ -0,0 +1,328 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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, max-params */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+
+
+// FUNCTIONS //
+
+/**
+* Fills a matrix with zeros.
+*
+* @private
+* @param {NonNegativeInteger} M - number of rows
+* @param {NonNegativeInteger} N - number of columns
+* @param {Float64Array} X - matrix to fill
+* @param {integer} strideX1 - stride of the first dimension of `X`
+* @param {integer} strideX2 - stride of the second dimension of `X`
+* @param {NonNegativeInteger} offsetX - starting index for `X`
+* @returns {Float64Array} input matrix
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+*
+* zeros( 2, 3, X, 3, 1, 0 );
+* // X => [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+*
+* zeros( 2, 3, X, 1, 2, 0 );
+* // X => [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ]
+*/
+function zeros( M, N, X, strideX1, strideX2, offsetX ) { // TODO: consider moving to a separate package
+ var dx0;
+ var dx1;
+ var S0;
+ var S1;
+ var i0;
+ var i1;
+ var ix;
+
+ if ( isRowMajor( [ strideX1, strideX2 ] ) ) {
+ // For row-major matrices, the last dimension has the fastest changing index...
+ S0 = N;
+ S1 = M;
+ dx0 = strideX2; // offset increment for innermost loop
+ dx1 = strideX1 - ( S0*strideX2 ); // offset increment for outermost loop
+ } else { // column-major
+ // For column-major matrices, the first dimension has the fastest changing index...
+ S0 = M;
+ S1 = N;
+ dx0 = strideX1; // offset increment for innermost loop
+ dx1 = strideX2 - ( S0*strideX1 ); // offset increment for outermost loop
+ }
+ ix = offsetX;
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ X[ ix ] = 0.0;
+ ix += dx0;
+ }
+ ix += dx1;
+ }
+ return X;
+}
+
+/**
+* Scales each element in a matrix by a scalar `β`.
+*
+* @private
+* @param {NonNegativeInteger} M - number of rows
+* @param {NonNegativeInteger} N - number of columns
+* @param {number} beta - scalar
+* @param {Float64Array} X - matrix to fill
+* @param {integer} strideX1 - stride of the first dimension of `X`
+* @param {integer} strideX2 - stride of the second dimension of `X`
+* @param {NonNegativeInteger} offsetX - starting index for `X`
+* @returns {Float64Array} input matrix
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+*
+* scal( 2, 3, 5.0, X, 3, 1, 0 );
+* // X => [ 5.0, 10.0, 15.0, 20.0, 25.0, 30.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+*
+* scal( 2, 3, 5.0, X, 1, 2, 0 );
+* // X => [ 5.0, 10.0, 15.0, 20.0, 25.0, 30.0 ]
+*/
+function scal( M, N, beta, X, strideX1, strideX2, offsetX ) { // TODO: consider moving to a separate package
+ var dx0;
+ var dx1;
+ var S0;
+ var S1;
+ var i0;
+ var i1;
+ var ix;
+
+ if ( isRowMajor( [ strideX1, strideX2 ] ) ) {
+ // For row-major matrices, the last dimension has the fastest changing index...
+ S0 = N;
+ S1 = M;
+ dx0 = strideX2; // offset increment for innermost loop
+ dx1 = strideX1 - ( S0*strideX2 ); // offset increment for outermost loop
+ } else { // column-major
+ // For column-major matrices, the first dimension has the fastest changing index...
+ S0 = M;
+ S1 = N;
+ dx0 = strideX1; // offset increment for innermost loop
+ dx1 = strideX2 - ( S0*strideX1 ); // offset increment for outermost loop
+ }
+ ix = offsetX;
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ X[ ix ] *= beta;
+ ix += dx0;
+ }
+ ix += dx1;
+ }
+ return X;
+}
+
+
+// MAIN //
+
+/**
+* Performs the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` where `α` and `β` are scalars, `A` is a symmetric matrix and B and C are `M` by `N` matrices.
+*
+* @private
+* @param {string} side - specifies whether `A` appears on the left or right of `B`
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied
+* @param {NonNegativeInteger} M - number of rows in the matrix `C`
+* @param {NonNegativeInteger} N - number of columns in the matrix `C`
+* @param {number} alpha - scalar constant
+* @param {Float64Array} A - first 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`
+* @param {Float64Array} B - second matrix
+* @param {integer} strideB1 - stride of the first dimension of `B`
+* @param {integer} strideB2 - stride of the second dimension of `B`
+* @param {NonNegativeInteger} offsetB - starting index for `B`
+* @param {number} beta - scalar constant
+* @param {Float64Array} C - third matrix
+* @param {integer} strideC1 - stride of the first dimension of `C`
+* @param {integer} strideC2 - stride of the second dimension of `C`
+* @param {NonNegativeInteger} offsetC - starting index for `C`
+* @returns {Float64Array} `C`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 3.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+*
+* dsymm( 'left', 'lower', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 );
+* // C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+*/
+function dsymm( side, uplo, M, N, alpha, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB, beta, C, strideC1, strideC2, offsetC ) {
+ var isrma;
+ var tmp;
+ var sa0;
+ var sa1;
+ var sb0;
+ var sb1;
+ var sc0;
+ var sc1;
+ var oa2;
+ var idx;
+ var oa;
+ var ob;
+ var i;
+ var j;
+ var k;
+
+ // Note on variable naming convention: sa#, ix#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ isrma = isRowMajor( [ strideA1, strideA2 ] );
+
+ // Check whether we can early return...
+ if ( M === 0 || N === 0 || ( ( beta === 1.0 ) && ( alpha === 0.0 ) ) ) {
+ return C;
+ }
+ if ( isrma ) {
+ // For row-major matrices, the last dimension has the fastest changing index...
+ sa0 = strideA2; // stride for innermost loop
+ sa1 = strideA1; // stride for outermost loop
+ sb0 = strideB2;
+ sb1 = strideB1;
+ sc0 = strideC2;
+ sc1 = strideC1;
+ } 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
+ sb0 = strideB1;
+ sb1 = strideB2;
+ sc0 = strideC1;
+ sc1 = strideC2;
+ }
+ if ( beta === 0.0 ) {
+ C = zeros( M, N, C, strideC1, strideC2, offsetC );
+ } else if ( beta !== 1.0 ) {
+ C = scal( M, N, beta, C, strideC1, strideC2, offsetC );
+ }
+ // Check whether we can early return...
+ if ( alpha === 0.0 ) {
+ return C;
+ }
+ oa = offsetA;
+ ob = offsetB;
+ if (
+ ( isrma && side === 'left' && uplo === 'upper' ) ||
+ ( !isrma && side === 'right' && uplo === 'lower' )
+ ) {
+ for ( i = 0; i < M; i++ ) {
+ for ( j = 0; j < N; j++ ) {
+ tmp = 0.0;
+ for ( k = 0; k < i; k++ ) {
+ oa2 = A[ oa + ( k * sa1 ) + ( i * sa0 ) ];
+ tmp += oa2 * B[ ob + ( k * sb1 ) + ( j * sb0 ) ];
+ }
+ for ( k = i; k < M; k++ ) {
+ oa2 = A[ oa + ( i * sa1 ) + ( k * sa0 ) ];
+ tmp += oa2 * B[ ob + ( k * sb1 ) + ( j * sb0 ) ];
+ }
+ idx = offsetC + ( i * sc1 ) + ( j * sc0 );
+ C[ idx ] += alpha * tmp;
+ }
+ }
+ return C;
+ }
+ if (
+ ( isrma && side === 'left' && uplo === 'lower' ) ||
+ ( !isrma && side === 'right' && uplo === 'upper' )
+ ) {
+ for ( i = 0; i < M; i++ ) {
+ for ( j = 0; j < N; j++ ) {
+ tmp = 0.0;
+ for ( k = 0; k < i; k++ ) {
+ oa2 = A[ oa + ( i * sa1 ) + ( k * sa0 ) ];
+ tmp += oa2 * B[ ob + ( k * sb1 ) + ( j * sb0 ) ];
+ }
+ for ( k = i; k < M; k++ ) {
+ oa2 = A[ oa + ( k * sa1 ) + ( i * sa0 ) ];
+ tmp += oa2 * B[ ob + ( k * sb1 ) + ( j * sb0 ) ];
+ }
+ idx = offsetC + ( i * sc1 ) + ( j * sc0 );
+ C[ idx ] += alpha * tmp;
+ }
+ }
+ return C;
+ }
+ if (
+ ( isrma && side === 'right' && uplo === 'upper' ) ||
+ ( !isrma && side === 'left' && uplo === 'lower' )
+ ) {
+ for ( i = 0; i < M; i++ ) {
+ for ( j = 0; j < N; j++ ) {
+ tmp = 0.0;
+ for ( k = 0; k < j; k++ ) {
+ oa2 = A[ oa + ( k * sa1 ) + ( j * sa0 ) ];
+ tmp += B[ ob + ( i * sb1 ) + ( k * sb0 ) ] * oa2;
+ }
+ for ( k = j; k < N; k++ ) {
+ oa2 = A[ oa + ( j * sa1 ) + ( k * sa0 ) ];
+ tmp += B[ ob + ( i * sb1 ) + ( k * sb0 ) ] * oa2;
+ }
+ idx = offsetC + ( i * sc1 ) + ( j * sc0 );
+ C[ idx ] += alpha * tmp;
+ }
+ }
+ return C;
+ }
+ // ( isrma && side === 'right' && uplo === 'lower' ) || ( !isrma && side === 'left' && uplo === 'upper' )
+ for ( i = 0; i < M; i++ ) {
+ for ( j = 0; j < N; j++ ) {
+ tmp = 0.0;
+ for ( k = 0; k < j; k++ ) {
+ oa2 = A[ oa + ( j * sa1 ) + ( k * sa0 ) ];
+ tmp += B[ ob + ( i * sb1 ) + ( k * sb0 ) ] * oa2;
+ }
+ for ( k = j; k < N; k++ ) {
+ oa2 = A[ oa + ( k * sa1 ) + ( j * sa0 ) ];
+ tmp += B[ ob + ( i * sb1 ) + ( k * sb0 ) ] * oa2;
+ }
+ idx = offsetC + ( i * sc1 ) + ( j * sc0 );
+ C[ idx ] += alpha * tmp;
+ }
+ }
+ return C;
+}
+
+
+// EXPORTS //
+
+module.exports = dsymm;
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/lib/dsymm.js b/lib/node_modules/@stdlib/blas/base/dsymm/lib/dsymm.js
new file mode 100644
index 000000000000..0652353efbf2
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/lib/dsymm.js
@@ -0,0 +1,140 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 max = require( '@stdlib/math/base/special/fast/max' );
+var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' );
+var isOperationSide = require( '@stdlib/blas/base/assert/is-operation-side' );
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major-string' );
+var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Performs the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` where `α` and `β` are scalars, `A` is a symmetric matrix and `B` and `C` are `M` by `N` matrices.
+*
+* @param {string} order - storage layout
+* @param {string} side - specifies whether `A` appears on the left or right of `B`
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied
+* @param {NonNegativeInteger} M - number of rows in the matrix `op(A)` and in the matrix `C`
+* @param {NonNegativeInteger} N - number of columns in the matrix `op(B)` and in the matrix `C`
+* @param {number} alpha - scalar constant
+* @param {Float64Array} A - first matrix
+* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param {Float64Array} B - second matrix
+* @param {PositiveInteger} LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`)
+* @param {number} beta - scalar constant
+* @param {Float64Array} C - third matrix
+* @param {PositiveInteger} LDC - stride of the first dimension of `C` (a.k.a., leading dimension of the matrix `C`)
+* @throws {TypeError} first argument must be a valid order
+* @throws {TypeError} second argument must be a valid side
+* @throws {TypeError} third argument must specify whether the lower or upper triangular matrix is supplied.
+* @throws {RangeError} fourth argument must be a nonnegative integer
+* @throws {RangeError} fifth argument must be a nonnegative integer
+* @throws {RangeError} eighth argument must be greater than or equal to max(1,M) when `A` is on the left of `B` and max(1,N) otherwise
+* @throws {RangeError} tenth argument must be greater than or equal to max(1,M)
+* @throws {RangeError} thirteenth argument must be greater than or equal to max(1,M)
+* @returns {Float64Array} `C`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 3.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+*
+* dsymm( 'row-major', 'left', 'lower', 3, 3, 1.0, A, 3, B, 3, 1.0, C, 3 );
+* // C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+*/
+function dsymm( order, side, uplo, M, N, alpha, A, LDA, B, LDB, beta, C, LDC ) { // eslint-disable-line max-params
+ var nrowsa;
+ var isrm;
+ var iscm;
+ var val;
+ var sa1;
+ var sa2;
+ var sb1;
+ var sb2;
+ var sc1;
+ var sc2;
+
+ if ( !isLayout( order ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+ }
+ if ( !isOperationSide( side ) ) {
+ throw new TypeError( format( 'invalid argument. Second argument must be a valid side. Value: `%s`.', side ) );
+ }
+ if ( !isMatrixTriangle( uplo ) ) {
+ throw new TypeError( format( 'invalid argument. Third argument must specify whether the lower or upper triangular matrix is supplied. Value: `%s`.', uplo ) );
+ }
+ if ( M < 0 ) {
+ throw new RangeError( format( 'invalid argument. Fourth argument must be a nonnegative integer. Value: `%d`.', M ) );
+ }
+ if ( N < 0 ) {
+ throw new RangeError( format( 'invalid argument. Fifth argument must be a nonnegative integer. Value: `%d`.', M ) );
+ }
+ if ( side === 'right' ) {
+ nrowsa = N;
+ } else {
+ nrowsa = M;
+ }
+ if ( LDA < max( 1, nrowsa ) ) {
+ throw new RangeError( format( 'invalid argument. Eighth argument must be greater than or equal to max(1,%d). Value: `%d`.', nrowsa, LDA ) );
+ }
+ isrm = isRowMajor( order );
+ iscm = isColumnMajor( order );
+ if ( isrm ) {
+ val = N;
+ } else {
+ val = M;
+ }
+ if ( LDB < max( 1, val ) ) {
+ throw new RangeError( format( 'invalid argument. Tenth argument must be greater than or equal to max(1,%d). Value: `%d`.', val, LDB ) );
+ }
+ if ( LDC < max( 1, val ) ) {
+ throw new RangeError( format( 'invalid argument. Thirteenth argument must be greater than or equal to max(1,%d). Value: `%d`.', val, LDC ) );
+ }
+ if ( iscm ) {
+ sa1 = 1;
+ sa2 = LDA;
+ sb1 = 1;
+ sb2 = LDB;
+ sc1 = 1;
+ sc2 = LDC;
+ } else { // order === 'row-major'
+ sa1 = LDA;
+ sa2 = 1;
+ sb1 = LDB;
+ sb2 = 1;
+ sc1 = LDC;
+ sc2 = 1;
+ }
+ return base( side, uplo, M, N, alpha, A, sa1, sa2, 0, B, sb1, sb2, 0, beta, C, sc1, sc2, 0 ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dsymm;
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/lib/index.js b/lib/node_modules/@stdlib/blas/base/dsymm/lib/index.js
new file mode 100644
index 000000000000..c8eef0e6bc96
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/lib/index.js
@@ -0,0 +1,72 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 3 routine to perform the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` where `α` and `β` are scalars, `A` is a symmetric matrix and `B` and `C` are `M` by `N` matrices.
+*
+* @module @stdlib/blas/base/dsymm
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dsymm = require( '@stdlib/blas/base/dsymm' );
+*
+* var A = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 3.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+*
+* dsymm( 'row-major', 'left', 'lower', 3, 3, 1.0, A, 3, B, 3, 1.0, C, 3 );
+* // C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dsymm = require( '@stdlib/blas/base/dsymm' );
+*
+* var A = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 3.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+*
+* dsymm.ndarray( 'left', 'lower', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 );
+* // C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+*/
+
+// MODULES //
+
+var join = require( 'path' ).join;
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isError = require( '@stdlib/assert/is-error' );
+var main = require( './main.js' );
+
+
+// MAIN //
+
+var dsymm;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+ dsymm = main;
+} else {
+ dsymm = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = dsymm;
+
+// exports: { "ndarray": "dsymm.ndarray" }
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/lib/main.js b/lib/node_modules/@stdlib/blas/base/dsymm/lib/main.js
new file mode 100644
index 000000000000..0ffc283d5386
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var dsymm = require( './dsymm.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( dsymm, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = dsymm;
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/lib/ndarray.js b/lib/node_modules/@stdlib/blas/base/dsymm/lib/ndarray.js
new file mode 100644
index 000000000000..acada9063e8b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/lib/ndarray.js
@@ -0,0 +1,95 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' );
+var isOperationSide = require( '@stdlib/blas/base/assert/is-operation-side' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Performs the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` where `α` and `β` are scalars, `A` is a symmetric matrix and `B` and `C` are `M` by `N` matrices.
+*
+* @param {string} side - specifies whether `A` appears on the left or right of `B`
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied
+* @param {NonNegativeInteger} M - number of rows in the matrix `C`
+* @param {NonNegativeInteger} N - number of columns in the matrix `C`
+* @param {number} alpha - scalar constant
+* @param {Float64Array} A - first 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`
+* @param {Float64Array} B - second matrix
+* @param {integer} strideB1 - stride of the first dimension of `B`
+* @param {integer} strideB2 - stride of the second dimension of `B`
+* @param {NonNegativeInteger} offsetB - starting index for `B`
+* @param {number} beta - scalar constant
+* @param {Float64Array} C - third matrix
+* @param {integer} strideC1 - stride of the first dimension of `C`
+* @param {integer} strideC2 - stride of the second dimension of `C`
+* @param {NonNegativeInteger} offsetC - starting index for `C`
+* @throws {TypeError} first argument must be a valid side
+* @throws {TypeError} second argument must specify whether the lower or upper triangular matrix is supplied.
+* @throws {RangeError} third argument must be a nonnegative integer
+* @throws {RangeError} fourth argument must be a nonnegative integer
+* @throws {RangeError} sixteenth argument must be non-zero
+* @throws {RangeError} seventeenth argument must be non-zero
+* @returns {Float64Array} `C`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 3.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+*
+* dsymm( 'left', 'lower', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 );
+* // C => [ 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0 ]
+*/
+function dsymm( side, uplo, M, N, alpha, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB, beta, C, strideC1, strideC2, offsetC ) { // eslint-disable-line max-params, max-len
+ if ( !isOperationSide( side ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid side. Value: `%s`.', side ) );
+ }
+ if ( !isMatrixTriangle( uplo ) ) {
+ throw new TypeError( format( 'invalid argument. Second argument must specify whether the lower or upper triangular matrix is supplied. Value: `%s`.', uplo ) );
+ }
+ if ( M < 0 ) {
+ throw new RangeError( format( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', M ) );
+ }
+ if ( N < 0 ) {
+ throw new RangeError( format( 'invalid argument. Fourth argument must be a nonnegative integer. Value: `%d`.', M ) );
+ }
+ if ( strideC1 === 0 ) {
+ throw new RangeError( format( 'invalid argument. Sixteenth argument must be non-zero. Value: `%d`.', strideC1 ) );
+ }
+ if ( strideC2 === 0 ) {
+ throw new RangeError( format( 'invalid argument. Seventeenth argument must be non-zero. Value: `%d`.', strideC2 ) );
+ }
+ return base( side, uplo, M, N, alpha, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB, beta, C, strideC1, strideC2, offsetC ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dsymm;
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/package.json b/lib/node_modules/@stdlib/blas/base/dsymm/package.json
new file mode 100644
index 000000000000..f0ada41e2428
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/package.json
@@ -0,0 +1,68 @@
+{
+ "name": "@stdlib/blas/base/dsymm",
+ "version": "0.0.0",
+ "description": "Perform the matrix-matrix operation `C = α*A*B + β*C` or `C = α*B*A + β*C` where `α` and `β` are scalars, `A` is a symmetric matrix and B and C are `M` by `N` matrices",
+ "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 3",
+ "dsymm",
+ "linear",
+ "algebra",
+ "subroutines",
+ "array",
+ "ndarray",
+ "float64",
+ "double",
+ "float64array"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_l_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_l_l.json
new file mode 100644
index 000000000000..e5f6040cdf8d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_l_l.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "lower",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "B": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ],
+ "B_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
+ ],
+ "strideB1": 1,
+ "strideB2": 3,
+ "offsetB": 0,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "strideC1": 1,
+ "strideC2": 3,
+ "offsetC": 0,
+ "C_out": [ 45.0, 43.0, 64.0, 53.0, 52.0, 79.0, 61.0, 61.0, 94.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_l_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_l_u.json
new file mode 100644
index 000000000000..23e2cf01c19e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_l_u.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "B": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ],
+ "B_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
+ ],
+ "strideB1": 1,
+ "strideB2": 3,
+ "offsetB": 0,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "strideC1": 1,
+ "strideC2": 3,
+ "offsetC": 0,
+ "C_out": [ 45.0, 43.0, 64.0, 53.0, 52.0, 79.0, 61.0, 61.0, 94.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_r_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_r_l.json
new file mode 100644
index 000000000000..965513a1e1e5
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_r_l.json
@@ -0,0 +1,37 @@
+{
+ "order": "column-major",
+ "side": "right",
+ "uplo": "lower",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "B": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ],
+ "B_mat": [
+ [ 1.0, 2.0, 3.0 ],
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_r_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_r_u.json
new file mode 100644
index 000000000000..861245296cbd
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_cc_r_u.json
@@ -0,0 +1,37 @@
+{
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_l_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_l_l.json
new file mode 100644
index 000000000000..ae91928f65d7
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_l_l.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_l_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_l_u.json
new file mode 100644
index 000000000000..ceaaf4c11e93
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_l_u.json
@@ -0,0 +1,36 @@
+{
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_r_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_r_l.json
new file mode 100644
index 000000000000..451ba8dd764d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_r_l.json
@@ -0,0 +1,37 @@
+{
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_r_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_r_u.json
new file mode 100644
index 000000000000..bc099dc8dd45
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_cb_rc_r_u.json
@@ -0,0 +1,37 @@
+{
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_l_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_l_l.json
new file mode 100644
index 000000000000..d277cc660a01
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_l_l.json
@@ -0,0 +1,36 @@
+{
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+ "uplo": "lower",
+ "M": 3,
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+ "alpha": 1.0,
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_l_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_l_u.json
new file mode 100644
index 000000000000..44c901560918
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_l_u.json
@@ -0,0 +1,36 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_r_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_r_l.json
new file mode 100644
index 000000000000..92e37990b3b6
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_r_l.json
@@ -0,0 +1,36 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_r_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_r_u.json
new file mode 100644
index 000000000000..224e9bea0ade
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_cc_r_u.json
@@ -0,0 +1,36 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_l_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_l_l.json
new file mode 100644
index 000000000000..e84511a83e61
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_l_l.json
@@ -0,0 +1,36 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_l_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_l_u.json
new file mode 100644
index 000000000000..48cf5184ee80
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_l_u.json
@@ -0,0 +1,36 @@
+{
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+ "uplo": "upper",
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_r_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_r_l.json
new file mode 100644
index 000000000000..d7febed88ff6
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_r_l.json
@@ -0,0 +1,36 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_r_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_r_u.json
new file mode 100644
index 000000000000..411d52798ea7
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ca_rb_rc_r_u.json
@@ -0,0 +1,36 @@
+{
+ "side": "right",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
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+ "B_mat": [
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+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
+ ],
+ "strideB1": 3,
+ "strideB2": 1,
+ "offsetB": 0,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
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+ [ 1.0, 1.0, 1.0 ]
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+ "C_out": [ 21.0, 21.0, 32.0, 45.0, 48.0, 77.0, 69.0, 75.0, 122.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_l_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_l_l.json
new file mode 100644
index 000000000000..b600475da4f8
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_l_l.json
@@ -0,0 +1,31 @@
+{
+ "order": "column-major",
+ "side": "left",
+ "uplo": "lower",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "lda": 3,
+ "B": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ],
+ "B_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
+ ],
+ "ldb": 3,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "ldc": 3,
+ "C_out": [ 45.0, 43.0, 64.0, 53.0, 52.0, 79.0, 61.0, 61.0, 94.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_l_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_l_u.json
new file mode 100644
index 000000000000..8350b3feca5a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_l_u.json
@@ -0,0 +1,31 @@
+{
+ "order": "column-major",
+ "side": "left",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
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+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "lda": 3,
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+ "B_mat": [
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+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
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+ ],
+ "ldc": 3,
+ "C_out": [ 45.0, 43.0, 64.0, 53.0, 52.0, 79.0, 61.0, 61.0, 94.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_r_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_r_l.json
new file mode 100644
index 000000000000..992dd5774054
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_r_l.json
@@ -0,0 +1,31 @@
+{
+ "order": "column-major",
+ "side": "right",
+ "uplo": "lower",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
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+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "lda": 3,
+ "B": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ],
+ "B_mat": [
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+ "ldb": 3,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
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+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "ldc": 3,
+ "C_out": [ 21.0, 45.0, 69.0, 21.0, 48.0, 75.0, 32.0, 77.0, 122.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_r_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_r_u.json
new file mode 100644
index 000000000000..5a61d27da02d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/column_major_r_u.json
@@ -0,0 +1,31 @@
+{
+ "order": "column-major",
+ "side": "right",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
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+ "B": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ],
+ "B_mat": [
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+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
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+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "ldc": 3,
+ "C_out": [ 21.0, 45.0, 69.0, 21.0, 48.0, 75.0, 32.0, 77.0, 122.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_l_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_l_l.json
new file mode 100644
index 000000000000..f193a3b3af40
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_l_l.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "lower",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
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+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
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+ [ 7.0, 8.0, 9.0 ]
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+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
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+ [ 1.0, 1.0, 1.0 ]
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+ "strideC1": 1,
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+ "offsetC": 0,
+ "C_out": [ 45.0, 43.0, 64.0, 53.0, 52.0, 79.0, 61.0, 61.0, 94.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_l_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_l_u.json
new file mode 100644
index 000000000000..2148277af13d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_l_u.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
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+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
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+ [ 1.0, 1.0, 1.0 ]
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+ "strideC1": 1,
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+ "offsetC": 0,
+ "C_out": [ 45.0, 43.0, 64.0, 53.0, 52.0, 79.0, 61.0, 61.0, 94.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_r_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_r_l.json
new file mode 100644
index 000000000000..abd3a831dd96
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_r_l.json
@@ -0,0 +1,37 @@
+{
+ "order": "column-major",
+ "side": "right",
+ "uplo": "lower",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
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+ [ 7.0, 8.0, 9.0 ]
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+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
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+ [ 1.0, 1.0, 1.0 ]
+ ],
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+ "offsetC": 0,
+ "C_out": [ 21.0, 45.0, 69.0, 21.0, 48.0, 75.0, 32.0, 77.0, 122.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_r_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_r_u.json
new file mode 100644
index 000000000000..eef67bf8a70f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_cc_r_u.json
@@ -0,0 +1,37 @@
+{
+ "order": "column-major",
+ "side": "right",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
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+ [ 7.0, 8.0, 9.0 ]
+ ],
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+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
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+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
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+ "strideC1": 1,
+ "strideC2": 3,
+ "offsetC": 0,
+ "C_out": [ 21.0, 45.0, 69.0, 21.0, 48.0, 75.0, 32.0, 77.0, 122.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_l_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_l_l.json
new file mode 100644
index 000000000000..b1acbe3779c4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_l_l.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "lower",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
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+ [ 5.0, 4.0, 6.0 ]
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+ "offsetA": 0,
+ "B": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ],
+ "B_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
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+ "strideB1": 1,
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+ "offsetB": 0,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
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+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "strideC1": 3,
+ "strideC2": 1,
+ "offsetC": 0,
+ "C_out": [ 45.0, 53.0, 61.0, 43.0, 52.0, 61.0, 64.0, 79.0, 94.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_l_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_l_u.json
new file mode 100644
index 000000000000..21a331d7fc85
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_l_u.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
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+ [ 5.0, 4.0, 6.0 ]
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+ [ 7.0, 8.0, 9.0 ]
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+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "strideC1": 3,
+ "strideC2": 1,
+ "offsetC": 0,
+ "C_out": [ 45.0, 53.0, 61.0, 43.0, 52.0, 61.0, 64.0, 79.0, 94.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_r_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_r_l.json
new file mode 100644
index 000000000000..a39ff5871f0d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_r_l.json
@@ -0,0 +1,37 @@
+{
+ "order": "column-major",
+ "side": "right",
+ "uplo": "lower",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
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+ [ 5.0, 4.0, 6.0 ]
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+ "B": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ],
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+ [ 7.0, 8.0, 9.0 ]
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+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
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+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "strideC1": 3,
+ "strideC2": 1,
+ "offsetC": 0,
+ "C_out": [ 21.0, 21.0, 32.0, 45.0, 48.0, 77.0, 69.0, 75.0, 122.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_r_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_r_u.json
new file mode 100644
index 000000000000..f8dbdc497e7c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_cb_rc_r_u.json
@@ -0,0 +1,37 @@
+{
+ "order": "column-major",
+ "side": "right",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
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+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "strideA1": 3,
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_l_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_l_l.json
new file mode 100644
index 000000000000..7d5ec5bb1492
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_l_l.json
@@ -0,0 +1,36 @@
+{
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+ "uplo": "lower",
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_l_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_l_u.json
new file mode 100644
index 000000000000..7d5ec5bb1492
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_l_u.json
@@ -0,0 +1,36 @@
+{
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+ "uplo": "lower",
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_r_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_r_l.json
new file mode 100644
index 000000000000..9109eb584c0e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_r_l.json
@@ -0,0 +1,36 @@
+{
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_r_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_r_u.json
new file mode 100644
index 000000000000..8f2a028f9af9
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_cc_r_u.json
@@ -0,0 +1,36 @@
+{
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+ "uplo": "upper",
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l.json
new file mode 100644
index 000000000000..e629df102111
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_complex_access_pattern.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_complex_access_pattern.json
new file mode 100644
index 000000000000..46eb410a75b0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_complex_access_pattern.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "lower",
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_oa.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_oa.json
new file mode 100644
index 000000000000..3975d12ff3d8
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_oa.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_ob.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_ob.json
new file mode 100644
index 000000000000..35c3fd1cd637
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_ob.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "lower",
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_oc.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_oc.json
new file mode 100644
index 000000000000..5620da4d6ff4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_oc.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "lower",
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1_sa2.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1_sa2.json
new file mode 100644
index 000000000000..07504ebf4c84
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1_sa2.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "lower",
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1_sa2n.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1_sa2n.json
new file mode 100644
index 000000000000..6f921ddbf08a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1_sa2n.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
+ "uplo": "lower",
+ "M": 3,
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+ "A_mat": [
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1n_sa2.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1n_sa2.json
new file mode 100644
index 000000000000..17eac4104a53
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1n_sa2.json
@@ -0,0 +1,36 @@
+{
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1n_sa2n.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1n_sa2n.json
new file mode 100644
index 000000000000..651b775c3ae7
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sa1n_sa2n.json
@@ -0,0 +1,36 @@
+{
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1_sb2.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1_sb2.json
new file mode 100644
index 000000000000..216aef723b13
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1_sb2.json
@@ -0,0 +1,36 @@
+{
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1_sb2n.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1_sb2n.json
new file mode 100644
index 000000000000..29a5d79cf68d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1_sb2n.json
@@ -0,0 +1,36 @@
+{
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1n_sb2.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1n_sb2.json
new file mode 100644
index 000000000000..81f63e6ecf37
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1n_sb2.json
@@ -0,0 +1,36 @@
+{
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diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1n_sb2n.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1n_sb2n.json
new file mode 100644
index 000000000000..b3068d7ff377
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_l_sb1n_sb2n.json
@@ -0,0 +1,36 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u.json
new file mode 100644
index 000000000000..2603599eeaa9
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u.json
@@ -0,0 +1,36 @@
+{
+ "side": "left",
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1_sc2.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1_sc2.json
new file mode 100644
index 000000000000..7fe96b1d4a15
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1_sc2.json
@@ -0,0 +1,36 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1_sc2n.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1_sc2n.json
new file mode 100644
index 000000000000..a8b708fbc0b1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1_sc2n.json
@@ -0,0 +1,36 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1n_sc2.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1n_sc2.json
new file mode 100644
index 000000000000..24e3cd1f1958
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1n_sc2.json
@@ -0,0 +1,36 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1n_sc2n.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1n_sc2n.json
new file mode 100644
index 000000000000..b21c487adfe0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_l_u_sc1n_sc2n.json
@@ -0,0 +1,36 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_r_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_r_l.json
new file mode 100644
index 000000000000..bf3ca506c9bc
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_r_l.json
@@ -0,0 +1,36 @@
+{
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+ "uplo": "lower",
+ "M": 3,
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+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
+ ],
+ "strideB1": 3,
+ "strideB2": 1,
+ "offsetB": 0,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "strideC1": 3,
+ "strideC2": 1,
+ "offsetC": 0,
+ "C_out": [ 21.0, 21.0, 32.0, 45.0, 48.0, 77.0, 69.0, 75.0, 122.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_r_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_r_u.json
new file mode 100644
index 000000000000..721e218d2e5d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/ra_rb_rc_r_u.json
@@ -0,0 +1,36 @@
+{
+ "side": "right",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "B": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ],
+ "B_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
+ ],
+ "strideB1": 3,
+ "strideB2": 1,
+ "offsetB": 0,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "strideC1": 3,
+ "strideC2": 1,
+ "offsetC": 0,
+ "C_out": [ 21.0, 21.0, 32.0, 45.0, 48.0, 77.0, 69.0, 75.0, 122.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_l_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_l_l.json
new file mode 100644
index 000000000000..6fee95f732b0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_l_l.json
@@ -0,0 +1,31 @@
+{
+ "order": "row-major",
+ "side": "left",
+ "uplo": "lower",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "lda": 3,
+ "B": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ],
+ "B_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
+ ],
+ "ldb": 3,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "ldc": 3,
+ "C_out": [ 45.0, 53.0, 61.0, 43.0, 52.0, 61.0, 64.0, 79.0, 94.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_l_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_l_u.json
new file mode 100644
index 000000000000..3fa3a86fc077
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_l_u.json
@@ -0,0 +1,31 @@
+{
+ "order": "row-major",
+ "side": "left",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "lda": 3,
+ "B": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ],
+ "B_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
+ ],
+ "ldb": 3,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "ldc": 3,
+ "C_out": [ 45.0, 53.0, 61.0, 43.0, 52.0, 61.0, 64.0, 79.0, 94.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_r_l.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_r_l.json
new file mode 100644
index 000000000000..7213422b0a3f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_r_l.json
@@ -0,0 +1,31 @@
+{
+ "order": "row-major",
+ "side": "right",
+ "uplo": "lower",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "lda": 3,
+ "B": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ],
+ "B_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
+ ],
+ "ldb": 3,
+ "beta": 1.0,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "ldc": 3,
+ "C_out": [ 21.0, 21.0, 32.0, 45.0, 48.0, 77.0, 69.0, 75.0, 122.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_r_u.json b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_r_u.json
new file mode 100644
index 000000000000..2586eb683971
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/fixtures/row_major_r_u.json
@@ -0,0 +1,31 @@
+{
+ "order": "row-major",
+ "side": "right",
+ "uplo": "upper",
+ "M": 3,
+ "N": 3,
+ "alpha": 1.0,
+ "A": [ 1.0, 2.0, 5.0, 2.0, 3.0, 4.0, 5.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 5.0 ],
+ [ 2.0, 3.0, 4.0 ],
+ [ 5.0, 4.0, 6.0 ]
+ ],
+ "lda": 3,
+ "beta": 1.0,
+ "B": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ],
+ "B_mat": [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0 ]
+ ],
+ "ldb": 3,
+ "C": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ],
+ "C_mat": [
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ],
+ [ 1.0, 1.0, 1.0 ]
+ ],
+ "ldc": 3,
+ "C_out": [ 21.0, 21.0, 32.0, 45.0, 48.0, 77.0, 69.0, 75.0, 122.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/test.dsymm.js b/lib/node_modules/@stdlib/blas/base/dsymm/test/test.dsymm.js
new file mode 100644
index 000000000000..be4e3362b817
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/test.dsymm.js
@@ -0,0 +1,671 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 Float64Array = require( '@stdlib/array/float64' );
+var dscal = require( '@stdlib/blas/base/dscal' );
+var dsymm = require( './../lib/dsymm.js' );
+
+
+// FIXTURES //
+
+var cll = require( './fixtures/column_major_l_l.json' );
+var clu = require( './fixtures/column_major_l_u.json' );
+var crl = require( './fixtures/column_major_r_l.json' );
+var cru = require( './fixtures/column_major_r_u.json' );
+
+var rll = require( './fixtures/row_major_l_l.json' );
+var rlu = require( './fixtures/row_major_l_u.json' );
+var rrl = require( './fixtures/row_major_r_l.json' );
+var rru = require( './fixtures/row_major_r_u.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dsymm, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 13', function test( t ) {
+ t.strictEqual( dsymm.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 = rll;
+
+ 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() {
+ dsymm( value, data.side, data.uplo, data.M, data.N, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid second argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rll;
+
+ 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() {
+ dsymm( data.order, value, data.uplo, data.M, data.N, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid third argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rll;
+
+ 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() {
+ dsymm( data.order, data.side, value, data.M, data.N, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid fourth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rll;
+
+ 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() {
+ dsymm( data.order, data.side, data.uplo, value, data.N, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid fifth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rll;
+
+ 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() {
+ dsymm( data.order, data.side, data.uplo, data.M, value, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid eighth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rll;
+
+ 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() {
+ dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, new Float64Array( data.A ), value, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid tenth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rll;
+
+ 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() {
+ dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), value, data.beta, new Float64Array( data.C ), data.ldc );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid thirteenth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rll;
+
+ 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() {
+ dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), value );
+ };
+ }
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (row-major, left, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (column-major, left, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (row-major, left, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rlu;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (column-major, left, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = clu;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (row-major, right, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rrl;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (column-major, right, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = crl;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (row-major, right, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (column-major, right, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns a reference to the third input matrix (row-major)', function test( t ) {
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns a reference to the third input matrix (column-major)', function test( t ) {
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if either `M` or `N` is `0`, the function returns the third input matrix unchanged (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C );
+
+ out = dsymm( data.order, data.side, data.uplo, 0, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, 0, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if either `M` or `N` is `0`, the function returns the third input matrix unchanged (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C );
+
+ out = dsymm( data.order, data.side, data.uplo, 0, data.N, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, 0, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `α` is `0` and `β` is `1`, the function returns the third input matrix unchanged (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, 0.0, a, data.lda, b, data.ldb, 1.0, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `α` is `0` and `β` is `1`, the function returns the third input matrix unchanged (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, 0.0, a, data.lda, b, data.ldb, 1.0, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `α` is `0` and `β` is `0`, the function returns the third input matrix filled with zeros (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( c.length );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, 0.0, a, data.lda, b, data.ldb, 0.0, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `α` is `0` and `β` is `0`, the function returns the third input matrix filled with zeros (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( c.length );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, 0.0, a, data.lda, b, data.ldb, 0.0, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `α` is `0` and `β` is neither `0` nor `1`, the function returns the third input matrix scaled by `β` (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = dscal( c.length, 10.0, new Float64Array( c ), 1 );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, 0.0, a, data.lda, b, data.ldb, 10.0, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `α` is `0` and `β` is neither `0` nor `1`, the function returns the third input matrix scaled by `β` (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = dscal( c.length, 10.0, new Float64Array( c ), 1 );
+
+ out = dsymm( data.order, data.side, data.uplo, data.M, data.N, 0.0, a, data.lda, b, data.ldb, 10.0, c, data.ldc );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/test.js b/lib/node_modules/@stdlib/blas/base/dsymm/test/test.js
new file mode 100644
index 000000000000..8b444a3dfc63
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var dsymm = require( './../lib' );
+
+
+// VARIABLES //
+
+var opts = {
+ 'skip': IS_BROWSER
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dsymm, '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 dsymm.ndarray, 'function', 'method is a function' );
+ t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+ var dsymm = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dsymm, mock, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return mock;
+ }
+
+ function mock() {
+ // Mock...
+ }
+});
+
+tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) {
+ var dsymm;
+ var main;
+
+ main = require( './../lib/dsymm.js' );
+
+ dsymm = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dsymm, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/blas/base/dsymm/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/base/dsymm/test/test.ndarray.js
new file mode 100644
index 000000000000..09aa9185b205
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsymm/test/test.ndarray.js
@@ -0,0 +1,1460 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 Float64Array = require( '@stdlib/array/float64' );
+var ones = require( '@stdlib/array/ones' );
+var filled = require( '@stdlib/array/filled' );
+var dscal = require( '@stdlib/blas/base/dscal' );
+var dsymm = require( './../lib/ndarray.js' );
+
+
+// FIXTURES //
+
+var cacbccll = require( './fixtures/ca_cb_cc_l_l.json' );
+var cacbcclu = require( './fixtures/ca_cb_cc_l_u.json' );
+var cacbccrl = require( './fixtures/ca_cb_cc_r_l.json' );
+var cacbccru = require( './fixtures/ca_cb_cc_r_u.json' );
+var cacbrcll = require( './fixtures/ca_cb_rc_l_l.json' );
+var cacbrclu = require( './fixtures/ca_cb_rc_l_u.json' );
+var cacbrcrl = require( './fixtures/ca_cb_rc_r_l.json' );
+var cacbrcru = require( './fixtures/ca_cb_rc_r_u.json' );
+var carbccll = require( './fixtures/ca_rb_cc_l_l.json' );
+var carbcclu = require( './fixtures/ca_rb_cc_l_u.json' );
+var carbccrl = require( './fixtures/ca_rb_cc_r_l.json' );
+var carbccru = require( './fixtures/ca_rb_cc_r_u.json' );
+var carbrcll = require( './fixtures/ca_rb_rc_l_l.json' );
+var carbrclu = require( './fixtures/ca_rb_rc_l_u.json' );
+var carbrcrl = require( './fixtures/ca_rb_rc_r_l.json' );
+var carbrcru = require( './fixtures/ca_rb_rc_r_u.json' );
+
+var racbccll = require( './fixtures/ra_cb_cc_l_l.json' );
+var racbcclu = require( './fixtures/ra_cb_cc_l_u.json' );
+var racbccrl = require( './fixtures/ra_cb_cc_r_l.json' );
+var racbccru = require( './fixtures/ra_cb_cc_r_u.json' );
+var racbrcll = require( './fixtures/ra_cb_rc_l_l.json' );
+var racbrclu = require( './fixtures/ra_cb_rc_l_u.json' );
+var racbrcrl = require( './fixtures/ra_cb_rc_r_l.json' );
+var racbrcru = require( './fixtures/ra_cb_rc_r_u.json' );
+var rarbccll = require( './fixtures/ra_rb_cc_l_l.json' );
+var rarbcclu = require( './fixtures/ra_rb_cc_l_u.json' );
+var rarbccrl = require( './fixtures/ra_rb_cc_r_l.json' );
+var rarbccru = require( './fixtures/ra_rb_cc_r_u.json' );
+var rarbrcll = require( './fixtures/ra_rb_rc_l_l.json' );
+var rarbrclu = require( './fixtures/ra_rb_rc_l_u.json' );
+var rarbrcrl = require( './fixtures/ra_rb_rc_r_l.json' );
+var rarbrcru = require( './fixtures/ra_rb_rc_r_u.json' );
+
+var rarbrcllsa1sa2 = require( './fixtures/ra_rb_rc_l_l_sa1_sa2.json' );
+var rarbrcllsa1nsa2 = require( './fixtures/ra_rb_rc_l_l_sa1n_sa2.json' );
+var rarbrcllsa1sa2n = require( './fixtures/ra_rb_rc_l_l_sa1_sa2n.json' );
+var rarbrcllsa1nsa2n = require( './fixtures/ra_rb_rc_l_l_sa1n_sa2n.json' );
+var rarbrcllsb1sb2 = require( './fixtures/ra_rb_rc_l_l_sb1_sb2.json' );
+var rarbrcllsb1nsb2 = require( './fixtures/ra_rb_rc_l_l_sb1n_sb2.json' );
+var rarbrcllsb1sb2n = require( './fixtures/ra_rb_rc_l_l_sb1_sb2n.json' );
+var rarbrcllsb1nsb2n = require( './fixtures/ra_rb_rc_l_l_sb1n_sb2n.json' );
+var rarbrclusc1sc2 = require( './fixtures/ra_rb_rc_l_u_sc1_sc2.json' );
+var rarbrclusc1nsc2 = require( './fixtures/ra_rb_rc_l_u_sc1n_sc2.json' );
+var rarbrclusc1sc2n = require( './fixtures/ra_rb_rc_l_u_sc1_sc2n.json' );
+var rarbrclusc1nsc2n = require( './fixtures/ra_rb_rc_l_u_sc1n_sc2n.json' );
+var rarbrclloa = require( './fixtures/ra_rb_rc_l_l_oa.json' );
+var rarbrcllob = require( './fixtures/ra_rb_rc_l_l_ob.json' );
+var rarbrclloc = require( './fixtures/ra_rb_rc_l_l_oc.json' );
+var cap = require( './fixtures/ra_rb_rc_l_l_complex_access_pattern.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dsymm, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 18', function test( t ) {
+ t.strictEqual( dsymm.length, 18, '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 = rarbrcll;
+
+ 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() {
+ dsymm( value, data.uplo, data.M, data.N, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), data.strideC1, data.strideC2, data.offsetC );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid second argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rarbrcll;
+
+ 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() {
+ dsymm( data.side, value, data.M, data.N, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), data.strideC1, data.strideC2, data.offsetC );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid third argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rarbrcll;
+
+ 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() {
+ dsymm( data.side, data.uplo, value, data.N, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), data.strideC1, data.strideC2, data.offsetC );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid fourth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rarbrcll;
+
+ 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() {
+ dsymm( data.side, data.uplo, data.M, value, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), data.strideC1, data.strideC2, data.offsetC );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid seventeenth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rarbrcll;
+
+ 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() {
+ dsymm( data.side, data.uplo, data.M, data.N, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), value, data.strideC2, data.offsetC );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid eighteenth argument', function test( t ) {
+ var values;
+ var data;
+ var i;
+
+ data = rarbrcll;
+
+ 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() {
+ dsymm( data.side, data.uplo, data.M, data.N, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), data.strideC1, value, data.offsetC );
+ };
+ }
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (column_major, column_major, column_major, left, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cacbccll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (column_major, column_major, column_major, right, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cacbccrl;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (column_major, column_major, column_major, left, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cacbcclu;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (column_major, column_major, column_major, right, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cacbccru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (column_major, column_major, row_major, left, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cacbrcll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (column_major, column_major, row_major, right, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cacbrcrl;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (column_major, column_major, row_major, left, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cacbrclu;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (column_major, column_major, row_major, right, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cacbrcru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (column_major, row_major, column_major, left, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = carbccll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (column_major, row_major, column_major, right, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = carbccrl;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (column_major, row_major, column_major, left, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = carbcclu;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (column_major, row_major, column_major, right, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = carbccru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (column_major, row_major, row_major, left, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = carbrcll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (column_major, row_major, row_major, right, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = carbrcrl;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (column_major, row_major, row_major, left, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = carbrclu;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (column_major, row_major, row_major, right, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = carbrcru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (row_major, column_major, column_major, left, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = racbccll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (row_major, column_major, column_major, right, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = racbccrl;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (row_major, column_major, column_major, left, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = racbcclu;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (row_major, column_major, column_major, right, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = racbccru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (row_major, column_major, row_major, left, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = racbrcll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (row_major, column_major, row_major, right, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = racbrcrl;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (row_major, column_major, row_major, left, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = racbrclu;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (row_major, column_major, row_major, right, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = racbrcru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (row_major, row_major, column_major, left, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbccll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (row_major, row_major, column_major, right, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbccrl;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (row_major, row_major, column_major, left, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbcclu;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (row_major, row_major, column_major, right, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbccru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (row_major, row_major, row_major, left, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (row_major, row_major, row_major, right, lower)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcrl;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*A*B + β*C` (row_major, row_major, row_major, left, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrclu;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs the matrix-matrix operation `C = α*B*A + β*C` (row_major, row_major, row_major, right, upper)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns a reference to the third input matrix', function test( t ) {
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcll;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if either `M` or `N` is `0`, the function returns the third input matrix unchanged', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C );
+
+ out = dsymm( data.side, data.uplo, 0, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ out = dsymm( data.side, data.uplo, data.M, 0, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `α` or `0` and `β` is `1`, the function returns the third input matrix unchanged', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, 0.0, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, 1.0, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `α` is `0` and `β` is `0`, the function returns the third input matrix filled with zeros', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( c.length );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, 0.0, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, 0.0, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `α` is `0` and `β` is neither `0` nor `1`, the function returns the third input matrix scaled by `β`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcru;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = dscal( c.length, 10.0, new Float64Array( c ), 1 );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, 0.0, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, 10.0, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying the strides of the first and second dimensions of `A`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcllsa1sa2;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, '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`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcllsa1nsa2;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, '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`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcllsa1sa2n;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports negative strides for `A`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcllsa1nsa2n;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports specifying an offset parameter for `A`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrclloa;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports specifying the strides of the first and second dimensions of `B`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcllsb1sb2;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the first dimension of `B`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcllsb1nsb2;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the second dimension of `B`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcllsb1sb2n;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports negative strides for `B`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcllsb1nsb2n;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports specifying an offset parameter for `B`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrcllob;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports specifying the strides of the first and second dimensions of `C`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrclusc1sc2;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the first dimension of `C`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrclusc1nsc2;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative stride for the second dimension of `C`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrclusc1sc2n;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports negative strides for `C`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrclusc1nsc2n;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports specifying an offset parameter for `C`', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = rarbrclloc;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports complex access patterns', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var a;
+ var b;
+ var c;
+
+ data = cap;
+
+ a = new Float64Array( data.A );
+ b = new Float64Array( data.B );
+ c = new Float64Array( data.C );
+
+ expected = new Float64Array( data.C_out );
+
+ out = dsymm( data.side, data.uplo, data.M, data.N, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports computation over large arrays (row-major, row-major, row-major)', function test( t ) {
+ var expected;
+ var out;
+ var N;
+ var a;
+ var b;
+ var c;
+
+ N = 100;
+
+ a = ones( N*N, 'float64' );
+ b = ones( a.length, 'float64' );
+ c = new Float64Array( a.length );
+
+ expected = filled( N, a.length, 'float64' );
+
+ out = dsymm( 'left', 'lower', N, N, 1.0, a, N, 1, 0, b, N, 1, 0, 1.0, c, N, 1, 0 );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports computation over large arrays (column-major, column-major, column-major)', function test( t ) {
+ var expected;
+ var out;
+ var N;
+ var a;
+ var b;
+ var c;
+
+ N = 100;
+
+ a = ones( N*N, 'float64' );
+ b = ones( a.length, 'float64' );
+ c = new Float64Array( a.length );
+
+ expected = filled( N, a.length, 'float64' );
+
+ out = dsymm( 'left', 'lower', N, N, 1.0, a, 1, N, 0, b, 1, N, 0, 1.0, c, 1, N, 0 );
+ t.strictEqual( out, c, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+ t.end();
+});