diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/README.md b/lib/node_modules/@stdlib/lapack/base/slacpy/README.md
new file mode 100644
index 00000000000..3ac87bcb487
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/README.md
@@ -0,0 +1,260 @@
+
+
+# slacpy
+
+> Copy all or part of a matrix `A` to another matrix `B`.
+
+
+
+## Usage
+
+```javascript
+var slacpy = require( '@stdlib/lapack/base/slacpy' );
+```
+
+#### slacpy( order, uplo, M, N, A, LDA, B, LDB )
+
+Copies all or part of a matrix `A` to another matrix `B`.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+var B = new Float32Array( 4 );
+
+slacpy( 'row-major', 'all', 2, 2, A, 2, B, 2 );
+// B => [ 1.0, 2.0, 3.0, 4.0 ]
+```
+
+The function has the following parameters:
+
+- **order**: storage layout.
+- **uplo**: specifies whether to copy the upper or lower triangular/trapezoidal part of a matrix `A`.
+- **M**: number of rows in `A`.
+- **N**: number of columns in `A`.
+- **A**: input [`Float32Array`][mdn-Float32Array].
+- **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+- **B**: output [`Float32Array`][mdn-Float32Array].
+- **LDB**: stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`).
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+// Initial arrays...
+var A0 = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+var B0 = new Float32Array( 5 );
+
+// Create offset views...
+var A1 = new Float32Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var B1 = new Float32Array( B0.buffer, B0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+slacpy( 'row-major', 'all', 2, 2, A1, 2, B1, 2 );
+// B0 => [ 0.0, 2.0, 3.0, 4.0, 5.0 ]
+```
+
+#### slacpy.ndarray( uplo, M, N, A, sa1, sa2, oa, B, sb1, sb2, ob )
+
+Copies all or part of a matrix `A` to another matrix `B` using alternative indexing semantics.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+var B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+
+slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, 0 );
+// B => [ 1.0, 2.0, 3.0, 4.0 ]
+```
+
+The function has the following parameters:
+
+- **uplo**: specifies whether to copy the upper or lower triangular/trapezoidal part of a matrix `A`.
+- **M**: number of rows in `A`.
+- **N**: number of columns in `A`.
+- **A**: input [`Float32Array`][mdn-Float32Array].
+- **sa1**: stride of the first dimension of `A`.
+- **sa2**: stride of the second dimension of `A`.
+- **oa**: starting index for `A`.
+- **B**: output [`Float32Array`][mdn-Float32Array].
+- **sb1**: stride of the first dimension of `B`.
+- **sb2**: stride of the second dimension of `B`.
+- **ob**: starting index for `B`.
+
+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 Float32Array = require( '@stdlib/array/float32' );
+
+var A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] );
+var B = new Float32Array( [ 0.0, 0.0, 11.0, 312.0, 53.0, 412.0 ] );
+
+slacpy.ndarray( 'all', 2, 2, A, 2, 1, 1, B, 2, 1, 2 );
+// B => [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- `slacpy()` corresponds to the [LAPACK][lapack] routine [`slacpy`][lapack-slacpy].
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var uniform = require( '@stdlib/random/array/discrete-uniform' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var slacpy = require( '@stdlib/lapack/base/slacpy' );
+
+var shape = [ 5, 8 ];
+var order = 'row-major';
+var strides = shape2strides( shape, order );
+
+var N = numel( shape );
+
+var A = uniform( N, -10, 10, {
+ 'dtype': 'float32'
+});
+console.log( ndarray2array( A, shape, strides, 0, order ) );
+
+var B = uniform( N, -10, 10, {
+ 'dtype': 'float32'
+});
+console.log( ndarray2array( B, shape, strides, 0, order ) );
+
+slacpy( order, 'all', shape[ 0 ], shape[ 1 ], A, strides[ 0 ], B, strides[ 0 ] );
+console.log( ndarray2array( B, shape, strides, 0, order ) );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+TODO
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[lapack]: https://www.netlib.org/lapack/explore-html/
+
+[lapack-slacpy]: https://www.netlib.org/lapack/explore-html/d0/d9e/group__lacpy_gae51b1efa5e6cb69029e83a425e773607.html#gae51b1efa5e6cb69029e83a425e773607
+
+[mdn-float32array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float32Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+
+
+
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/benchmark/benchmark.js b/lib/node_modules/@stdlib/lapack/base/slacpy/benchmark/benchmark.js
new file mode 100644
index 00000000000..7fabfbbe26b
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/benchmark/benchmark.js
@@ -0,0 +1,105 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var slacpy = require( './../lib/slacpy.js' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} N - number of elements along each dimension
+* @returns {Function} benchmark function
+*/
+function createBenchmark( N ) {
+ var opts;
+ var A;
+ var B;
+
+ opts = {
+ 'dtype': 'float32'
+ };
+
+ A = uniform( N*N, -10.0, 10.0, opts );
+ B = uniform( N*N, -10.0, 10.0, opts );
+ 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 = slacpy( 'column-major', 'all', N, N, A, N, B, N );
+ if ( isnanf( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnanf( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var min;
+ var max;
+ var N;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+ f = createBenchmark( N );
+ bench( pkg+':order=column-major,size='+(N*N), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/lapack/base/slacpy/benchmark/benchmark.ndarray.js
new file mode 100644
index 00000000000..40e2ad9e571
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/benchmark/benchmark.ndarray.js
@@ -0,0 +1,105 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var slacpy = require( './../lib/ndarray.js' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} N - number of elements along each dimension
+* @returns {Function} benchmark function
+*/
+function createBenchmark( N ) {
+ var opts;
+ var A;
+ var B;
+
+ opts = {
+ 'dtype': 'float32'
+ };
+
+ A = uniform( N*N, -10.0, 10.0, opts );
+ B = uniform( N*N, -10.0, 10.0, opts );
+ 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 = slacpy( 'all', N, N, A, 1, N, 0, B, 1, N, 0 );
+ if ( isnanf( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnanf( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var min;
+ var max;
+ var N;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+ f = createBenchmark( N );
+ bench( pkg+':ndarray:order=column-major,size='+(N*N), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/slacpy/docs/repl.txt
new file mode 100644
index 00000000000..837293c812d
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/docs/repl.txt
@@ -0,0 +1,108 @@
+
+{{alias}}( order, uplo, M, N, A, LDA, B, LDB )
+ Copies all or part of a matrix `A` to another matrix `B`.
+
+ Indexing is relative to the first index. To introduce an offset, use typed
+ array views.
+
+ Parameters
+ ----------
+ order: string
+ Row-major (C-style) or column-major (Fortran-style) order. Must be
+ either 'row-major' or 'column-major'.
+
+ uplo: string
+ Specifies whether to copy the upper or lower triangular/trapezoidal part
+ of a matrix `A`.
+
+ M: integer
+ Number of rows in `A`.
+
+ N: integer
+ Number of columns in `A`.
+
+ A: Float32Array
+ Input matrix `A`.
+
+ LDA: integer
+ Stride of the first dimension of `A` (a.k.a., leading dimension of the
+ matrix `A`).
+
+ B: Float32Array
+ Output matrix `B`.
+
+ LDB: integer
+ Stride of the first dimension of `B` (a.k.a., leading dimension of the
+ matrix `B`).
+
+ Returns
+ -------
+ B: Float32Array
+ Output matrix.
+
+ Examples
+ --------
+ > var A = new {{alias:@stdlib/array/float32}}( [ 1.0, 3.0, 0.0, 4.0 ] );
+ > var B = new {{alias:@stdlib/array/float32}}( [ 5.0, 7.0, 0.0, 8.0 ] );
+ > {{alias}}( 'row-major', 'all', 2, 2, A, 2, B, 2 )
+ [ 1.0, 3.0, 0.0, 4.0 ]
+
+
+{{alias}}.ndarray( uplo, M, N, A, sa1, sa2, oa, B, sb1, sb2, ob )
+ Copies all or part of a matrix `A` to another matrix `B` using alternative
+ indexing semantics.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ uplo: string
+ Specifies whether to copy the upper or lower triangular/trapezoidal part
+ of a matrix `A`.
+
+ M: integer
+ Number of rows in `A`.
+
+ N: integer
+ Number of columns in `A`.
+
+ A: Float32Array
+ Input matrix `A`.
+
+ 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: Float32Array
+ Output matrix `B`.
+
+ sb1: integer
+ Stride of the first dimension of `B`.
+
+ sb2: integer
+ Stride of the second dimension of `B`.
+
+ ob: integer
+ Starting index for `B`.
+
+ Returns
+ -------
+ B: Float32Array
+ Output matrix.
+
+ Examples
+ --------
+ > var A = new {{alias:@stdlib/array/float32}}( [ 0.0, 1.0, 3.0, 0.0, 4.0 ] );
+ > var B = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 5.0, 7.0, 0.0, 8.0 ] );
+ > {{alias}}.ndarray( 'all', 2, 2, A, 2, 1, 1, B, 2, 1, 2 )
+ [ 0.0, 0.0, 1.0, 3.0, 0.0, 4.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/slacpy/docs/types/index.d.ts
new file mode 100644
index 00000000000..8a09fe303f0
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/docs/types/index.d.ts
@@ -0,0 +1,117 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 } from '@stdlib/types/blas';
+
+/**
+* Interface describing `slacpy`.
+*/
+interface Routine {
+ /**
+ * Copies all or part of a matrix `A` to another matrix `B`.
+ *
+ * @param order - storage layout of `A` and `B`
+ * @param uplo - specifies whether to copy the upper or lower triangular/trapezoidal part of matrix `A`
+ * @param M - number of rows in matrix `A`
+ * @param N - number of columns in matrix `A`
+ * @param A - input matrix
+ * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+ * @param B - output matrix
+ * @param LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`)
+ * @returns `B`
+ *
+ * @example
+ * var Float32Array = require( '@stdlib/array/float32' );
+ *
+ * var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ * var B = new Float32Array( 4 );
+ *
+ * slacpy( 'row-major', 'all', 2, 2, A, 2, B, 2 );
+ * // B => [ 1.0, 2.0, 3.0, 4.0 ]
+ */
+ ( order: Layout, uplo: string, M: number, N: number, A: Float32Array, LDA: number, B: Float32Array, LDB: number ): Float32Array;
+
+ /**
+ * Copies all or part of a matrix `A` to another matrix `B` using alternative indexing semantics.
+ *
+ * @param uplo - specifies whether to copy the upper or lower triangular/trapezoidal part of matrix `A`
+ * @param M - number of rows in matrix `A`
+ * @param N - number of columns in matrix `A`
+ * @param A - input matrix
+ * @param strideA1 - stride of the first dimension of `A`
+ * @param strideA2 - stride of the second dimension of `A`
+ * @param offsetA - starting index for `A`
+ * @param B - output 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`
+ * @returns `B`
+ *
+ * @example
+ * var Float32Array = require( '@stdlib/array/float32' );
+ *
+ * var A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] );
+ * var B = new Float32Array( [ 0.0, 0.0, 11.0, 312.0, 53.0, 412.0 ] );
+ *
+ * slacpy.ndarray( 'all', 2, 2, A, 2, 1, 1, B, 2, 1, 2 );
+ * // B => [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+ */
+ ndarray( uplo: string, M: number, N: number, A: Float32Array, strideA1: number, strideA2: number, offsetA: number, B: Float32Array, strideB1: number, strideB2: number, offsetB: number ): Float32Array;
+}
+
+/**
+* Copies all or part of a matrix `A` to another matrix `B`.
+*
+* @param order - storage layout of `A` and `B`
+* @param uplo - specifies whether to copy the upper or lower triangular/trapezoidal part of matrix `A`
+* @param M - number of rows in matrix `A`
+* @param N - number of columns in matrix `A`
+* @param A - input matrix
+* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param B - output matrix
+* @param LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`)
+* @returns `B`
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* slacpy( 'row-major', 'all', 2, 2, A, 2, B, 2 );
+* // B => [ 1.0, 2.0, 3.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( [ 0.0, 0.0, 11.0, 312.0, 53.0, 412.0 ] );
+*
+* slacpy.ndarray( 'all', 2, 2, A, 2, 1, 1, B, 2, 1, 2 );
+* // B => [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+*/
+declare var slacpy: Routine;
+
+
+// EXPORTS //
+
+export = slacpy;
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/docs/types/test.ts b/lib/node_modules/@stdlib/lapack/base/slacpy/docs/types/test.ts
new file mode 100644
index 00000000000..8fbd84fca2b
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/docs/types/test.ts
@@ -0,0 +1,358 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 slacpy = require( './index' );
+
+
+// TESTS //
+
+// The function returns a Float32Array...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, 2 ); // $ExpectType Float32Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy( 5, 'all', 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( true, 'all', 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( false, 'all', 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( null, 'all', 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( void 0, 'all', 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( [], 'all', 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( {}, 'all', 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( ( x: number ): number => x, 'all', 2, 2, A, 2, B, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a string...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy( 'row-major', 5, 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', true, 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', false, 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', null, 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', void 0, 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', [], 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', {}, 2, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', ( x: number ): number => x, 2, 2, A, 2, B, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy( 'row-major', 'all', '5', 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', true, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', false, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', null, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', void 0, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', [], 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', {}, 2, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', ( x: number ): number => x, 2, A, 2, B, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy( 'row-major', 'all', 2, '5', A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, true, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, false, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, null, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, void 0, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, [], A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, {}, A, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, ( x: number ): number => x, A, 2, B, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a Float32Array...
+{
+ const B = new Float32Array( 4 );
+
+ slacpy( 'row-major', 'all', 2, 2, '5', 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, 5, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, true, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, false, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, null, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, void 0, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, [], 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, {}, 2, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, ( x: number ): number => x, 2, B, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy( 'row-major', 'all', 2, 2, A, '5', B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, true, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, false, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, null, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, void 0, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, [], B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, {}, B, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, ( x: number ): number => x, B, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a Float32Array...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+ slacpy( 'row-major', 'all', 2, 2, A, 2, '5', 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, 5, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, true, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, false, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, null, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, void 0, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, [], 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, {}, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, ( x: number ): number => x, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, '5' ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, true ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, false ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, null ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, void 0 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, [] ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, {} ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy(); // $ExpectError
+ slacpy( 'row-major' ); // $ExpectError
+ slacpy( 'row-major', 'all' ); // $ExpectError
+ slacpy( 'row-major', 'all', 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2 ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B ); // $ExpectError
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, 2, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a Float32Array...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectType Float32Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 5, 2, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( true, 2, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( false, 2, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( null, 2, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( void 0, 2, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( [], 2, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( {}, 2, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( ( x: number ): number => x, 2, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 'all', '5', 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', true, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', false, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', null, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', void 0, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', [], 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', {}, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', ( x: number ): number => x, 2, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 'all', 2, '5', A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, true, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, false, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, null, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, void 0, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, [], A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, {}, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, ( x: number ): number => x, A, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a Float32Array...
+{
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 'all', 2, 2, '5', 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, 5, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, true, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, false, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, null, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, void 0, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, [], 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, {}, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, ( x: number ): number => x, 2, 1, 0, B, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 'all', 2, 2, A, '5', 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, true, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, false, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, null, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, void 0, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, [], 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, {}, 1, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, ( x: number ): number => x, 1, 0, B, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 'all', 2, 2, A, 2, '5', 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, true, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, false, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, null, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, void 0, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, [], 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, {}, 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, ( x: number ): number => x, 0, B, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, '5', B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, true, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, false, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, null, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, void 0, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, [], B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, {}, B, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, ( x: number ): number => x, B, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not a Float32Array...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, '5', 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, 5, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, true, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, false, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, null, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, void 0, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, [], 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, {}, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, ( x: number ): number => x, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a ninth argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, '5', 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, true, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, false, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, null, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, void 0, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, [], 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, {}, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a tenth argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, '5', 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, true, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, false, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, null, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, void 0, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, [], 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, {}, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eleventh argument which is not a number...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, '5' ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, true ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, false ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, null ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, void 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, [] ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, {} ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ const B = new Float32Array( 4 );
+
+ slacpy.ndarray(); // $ExpectError
+ slacpy.ndarray( 'all' ); // $ExpectError
+ slacpy.ndarray( 'all', 2 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1 ); // $ExpectError
+ slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/examples/index.js b/lib/node_modules/@stdlib/lapack/base/slacpy/examples/index.js
new file mode 100644
index 00000000000..0a54b31b9ec
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/examples/index.js
@@ -0,0 +1,44 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var uniform = require( '@stdlib/random/array/discrete-uniform' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var slacpy = require( './../lib' );
+
+var shape = [ 5, 8 ];
+var order = 'row-major';
+var strides = shape2strides( shape, order );
+
+var N = numel( shape );
+
+var A = uniform( N, -10, 10, {
+ 'dtype': 'float32'
+});
+console.log( ndarray2array( A, shape, strides, 0, order ) );
+
+var B = uniform( N, -10, 10, {
+ 'dtype': 'float32'
+});
+console.log( ndarray2array( B, shape, strides, 0, order ) );
+
+slacpy( order, 'all', shape[ 0 ], shape[ 1 ], A, strides[ 0 ], B, strides[ 0 ] );
+console.log( ndarray2array( B, shape, strides, 0, order ) );
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/lib/base.js b/lib/node_modules/@stdlib/lapack/base/slacpy/lib/base.js
new file mode 100644
index 00000000000..7b99e4dae80
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/lib/base.js
@@ -0,0 +1,459 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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' );
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var min = require( '@stdlib/math/base/special/fast/min' );
+
+
+// FUNCTIONS //
+
+/**
+* Copies all of a matrix `A` to another matrix `B`.
+*
+* @private
+* @param {NonNegativeInteger} M - number of rows in matrix `A`
+* @param {NonNegativeInteger} N - number of columns in matrix `A`
+* @param {Float32Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @param {Float32Array} B - output 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`
+* @returns {Float32Array} `B`
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyAll( 2, 2, A, 2, 1, 0, B, 2, 1, 0 );
+* // B => [ 1.0, 2.0, 3.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyAll( 2, 2, A, 2, -1, 1, B, 2, 1, 0 );
+* // B => [ 2.0, 1.0, 4.0, 3.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyAll( 2, 2, A, -2, 1, 2, B, 2, 1, 0 );
+* // B => [ 3.0, 4.0, 1.0, 2.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyAll( 2, 2, A, -2, -1, 3, B, 2, 1, 0 );
+* // B => [ 4.0, 3.0, 2.0, 1.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyAll( 2, 2, A, 1, 2, 0, B, 2, 1, 0 );
+* // B => [ 1.0, 3.0, 2.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyAll( 2, 2, A, -1, 2, 1, B, 2, 1, 0 );
+* // B => [ 2.0, 4.0, 1.0, 3.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyAll( 2, 2, A, 1, -2, 2, B, 2, 1, 0 );
+* // B => [ 3.0, 1.0, 4.0, 2.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyAll( 2, 2, A, -1, -2, 3, B, 2, 1, 0 );
+* // B => [ 4.0, 2.0, 3.0, 1.0 ]
+*/
+function copyAll( M, N, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB ) {
+ var da0;
+ var da1;
+ var db0;
+ var db1;
+ var sh;
+ var S0;
+ var S1;
+ var sa;
+ var sb;
+ var ia;
+ var ib;
+ var i0;
+ var i1;
+ var o;
+
+ // Resolve the loop interchange order:
+ o = loopOrder( [ M, N ], [ strideA1, strideA2 ], [ strideB1, strideB2 ] );
+ sh = o.sh;
+ sa = o.sx;
+ sb = o.sy;
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ da0 = sa[ 0 ];
+ da1 = sa[ 1 ] - ( S0*sa[0] );
+ db0 = sb[ 0 ];
+ db1 = sb[ 1 ] - ( S0*sb[0] );
+
+ // Set the pointers to the first indexed elements in the respective matrices...
+ ia = offsetA;
+ ib = offsetB;
+
+ // Iterate over the matrix dimensions...
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ B[ ib ] = A[ ia ];
+ ia += da0;
+ ib += db0;
+ }
+ ia += da1;
+ ib += db1;
+ }
+ return B;
+}
+
+/**
+* Copies the upper triangular/trapezoidal part of a matrix `A` to another matrix `B`.
+*
+* @private
+* @param {NonNegativeInteger} M - number of rows in matrix `A`
+* @param {NonNegativeInteger} N - number of columns in matrix `A`
+* @param {Float32Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @param {Float32Array} B - output 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`
+* @returns {Float32Array} `B`
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyUpper( 2, 2, A, 2, 1, 0, B, 2, 1, 0 );
+* // B => [ 1.0, 2.0, 0.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyUpper( 2, 2, A, 2, -1, 1, B, 2, 1, 0 );
+* // B => [ 2.0, 1.0, 0.0, 3.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyUpper( 2, 2, A, -2, 1, 2, B, 2, 1, 0 );
+* // B => [ 3.0, 4.0, 0.0, 2.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyUpper( 2, 2, A, -2, -1, 3, B, 2, 1, 0 );
+* // B => [ 4.0, 3.0, 0.0, 1.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyUpper( 2, 2, A, 1, 2, 0, B, 2, 1, 0 );
+* // B => [ 1.0, 3.0, 0.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyUpper( 2, 2, A, -1, 2, 1, B, 2, 1, 0 );
+* // B => [ 2.0, 4.0, 0.0, 3.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyUpper( 2, 2, A, 1, -2, 2, B, 2, 1, 0 );
+* // B => [ 3.0, 1.0, 0.0, 2.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyUpper( 2, 2, A, -1, -2, 3, B, 2, 1, 0 );
+* // B => [ 4.0, 2.0, 0.0, 1.0 ]
+*/
+function copyUpper( M, N, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB ) {
+ var ia;
+ var ib;
+ var i0;
+ var i1;
+
+ ia = offsetA;
+ ib = offsetB;
+ if ( isRowMajor( [ strideA1, strideA2 ] ) ) {
+ for ( i1 = 0; i1 < M; i1++ ) {
+ for ( i0 = i1; i0 < N; i0++ ) {
+ B[ ib+(i0*strideB2) ] = A[ ia+(i0*strideA2) ];
+ }
+ ia += strideA1;
+ ib += strideB1;
+ }
+ return B;
+ }
+ for ( i1 = 0; i1 < N; i1++ ) {
+ for ( i0 = 0; i0 <= min( i1, M-1 ); i0++ ) {
+ B[ ib+(i0*strideB1) ] = A[ ia+(i0*strideA1) ];
+ }
+ ia += strideA2;
+ ib += strideB2;
+ }
+ return B;
+}
+
+/**
+* Copies the lower triangular/trapezoidal part of a matrix `A` to another matrix `B`.
+*
+* @private
+* @param {NonNegativeInteger} M - number of rows in matrix `A`
+* @param {NonNegativeInteger} N - number of columns in matrix `A`
+* @param {Float32Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @param {Float32Array} B - output 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`
+* @returns {Float32Array} `B`
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyLower( 2, 2, A, 2, 1, 0, B, 2, 1, 0 );
+* // B => [ 1.0, 0.0, 3.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyLower( 2, 2, A, 2, -1, 1, B, 2, 1, 0 );
+* // B => [ 2.0, 0.0, 4.0, 3.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyLower( 2, 2, A, -2, 1, 2, B, 2, 1, 0 );
+* // B => [ 3.0, 0.0, 1.0, 2.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyLower( 2, 2, A, -2, -1, 3, B, 2, 1, 0 );
+* // B => [ 4.0, 0.0, 2.0, 1.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyLower( 2, 2, A, 1, 2, 0, B, 2, 1, 0 );
+* // B => [ 1.0, 0.0, 2.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyLower( 2, 2, A, -1, 2, 1, B, 2, 1, 0 );
+* // B => [ 2.0, 0.0, 1.0, 3.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyLower( 2, 2, A, 1, -2, 2, B, 2, 1, 0 );
+* // B => [ 3.0, 0.0, 4.0, 2.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* copyLower( 2, 2, A, -1, -2, 3, B, 2, 1, 0 );
+* // B => [ 4.0, 0.0, 3.0, 1.0 ]
+*/
+function copyLower( M, N, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB ) {
+ var ia;
+ var ib;
+ var i0;
+ var i1;
+
+ ia = offsetA;
+ ib = offsetB;
+ if ( isRowMajor( [ strideA1, strideA2 ] ) ) {
+ for ( i1 = 0; i1 < M; i1++ ) {
+ for ( i0 = 0; i0 <= min( i1, N-1 ); i0++ ) {
+ B[ ib+(i0*strideB2) ] = A[ ia+(i0*strideA2) ];
+ }
+ ia += strideA1;
+ ib += strideB1;
+ }
+ return B;
+ }
+ for ( i1 = 0; i1 < N; i1++ ) {
+ for ( i0 = i1; i0 < M; i0++ ) {
+ B[ ib+(i0*strideB1) ] = A[ ia+(i0*strideA1) ];
+ }
+ ia += strideA2;
+ ib += strideB2;
+ }
+ return B;
+}
+
+
+// MAIN //
+
+/**
+* Copies all or part of a matrix `A` to another matrix `B`.
+*
+* @private
+* @param {string} uplo - specifies whether to copy the upper or lower triangular/trapezoidal part of matrix `A`
+* @param {NonNegativeInteger} M - number of rows in matrix `A`
+* @param {NonNegativeInteger} N - number of columns in matrix `A`
+* @param {Float32Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @param {Float32Array} B - output 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`
+* @returns {Float32Array} `B`
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* slacpy( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, 0 );
+* // B => [ 1.0, 2.0, 3.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* slacpy( 'upper', 2, 2, A, 2, 1, 0, B, 2, 1, 0 );
+* // B => [ 1.0, 2.0, 0.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* slacpy( 'lower', 2, 2, A, 2, 1, 0, B, 2, 1, 0 );
+* // B => [ 1.0, 0.0, 3.0, 4.0 ]
+*/
+function slacpy( uplo, M, N, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB ) {
+ if ( uplo === 'upper' ) {
+ return copyUpper( M, N, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB );
+ }
+ if ( uplo === 'lower' ) {
+ return copyLower( M, N, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB );
+ }
+ return copyAll( M, N, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB );
+}
+
+
+// EXPORTS //
+
+module.exports = slacpy;
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/lib/index.js b/lib/node_modules/@stdlib/lapack/base/slacpy/lib/index.js
new file mode 100644
index 00000000000..d1dcba5d061
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/lib/index.js
@@ -0,0 +1,70 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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';
+
+/**
+* LAPACK routine to copy all or part of a matrix `A` to another matrix `B`.
+*
+* @module @stdlib/lapack/base/slacpy
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var slacpy = require( '@stdlib/lapack/base/slacpy' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* slacpy( 'row-major', 'all', 2, 2, A, 2, B, 2 );
+* // B => [ 1.0, 2.0, 3.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var slacpy = require( '@stdlib/lapack/base/slacpy' );
+*
+* var A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( [ 0.0, 0.0, 11.0, 312.0, 53.0, 412.0 ] );
+*
+* slacpy.ndarray( 'all', 2, 2, A, 2, 1, 1, B, 2, 1, 2 );
+* // B => [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+*/
+
+// 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 slacpy;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+ slacpy = main;
+} else {
+ slacpy = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = slacpy;
+
+// exports: { "ndarray": "slacpy.ndarray" }
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/lib/main.js b/lib/node_modules/@stdlib/lapack/base/slacpy/lib/main.js
new file mode 100644
index 00000000000..68f349393af
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 slacpy = require( './slacpy.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( slacpy, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = slacpy;
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/slacpy/lib/ndarray.js
new file mode 100644
index 00000000000..94a4bc87324
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/lib/ndarray.js
@@ -0,0 +1,78 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Copies all or part of a matrix `A` to another matrix `B` using alternative indexing semantics.
+*
+* @param {string} uplo - specifies whether to copy the upper or lower triangular/trapezoidal part of matrix `A`
+* @param {NonNegativeInteger} M - number of rows in matrix `A`
+* @param {NonNegativeInteger} N - number of columns in matrix `A`
+* @param {Float32Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @param {Float32Array} B - output 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`
+* @returns {Float32Array} `B`
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( [ 0.0, 0.0, 11.0, 312.0, 53.0, 412.0 ] );
+*
+* slacpy( 'all', 2, 2, A, 2, 1, 1, B, 2, 1, 2 );
+* // B => [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( [ 0.0, 0.0, 11.0, 312.0, 53.0, 412.0 ] );
+*
+* slacpy( 'upper', 2, 2, A, 2, 1, 1, B, 2, 1, 2 );
+* // B => [ 0.0, 0.0, 1.0, 2.0, 53.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( [ 0.0, 0.0, 11.0, 312.0, 53.0, 412.0 ] );
+*
+* slacpy( 'lower', 2, 2, A, 2, 1, 1, B, 2, 1, 2 );
+* // B => [ 0.0, 0.0, 1.0, 312.0, 3.0, 4.0 ]
+*/
+function slacpy( uplo, M, N, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB ) { // eslint-disable-line max-len, max-params
+ return base( uplo, M, N, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = slacpy;
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/lib/slacpy.js b/lib/node_modules/@stdlib/lapack/base/slacpy/lib/slacpy.js
new file mode 100644
index 00000000000..5fd47c543c4
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/lib/slacpy.js
@@ -0,0 +1,104 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Copies all or part of a matrix `A` to another matrix `B`.
+*
+* @param {string} order - storage layout of `A` and `B`
+* @param {string} uplo - specifies whether to copy the upper or lower triangular/trapezoidal part of matrix `A`
+* @param {NonNegativeInteger} M - number of rows in matrix `A`
+* @param {NonNegativeInteger} N - number of columns in matrix `A`
+* @param {Float32Array} A - input matrix
+* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param {Float32Array} B - output matrix
+* @param {PositiveInteger} LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`)
+* @throws {TypeError} first argument must be a valid order
+* @throws {RangeError} sixth argument must be greater than or equal to `N`
+* @throws {RangeError} eighth argument must be greater than or equal to `N`
+* @returns {Float32Array} `B`
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* slacpy( 'row-major', 'all', 2, 2, A, 2, B, 2 );
+* // B => [ 1.0, 2.0, 3.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* slacpy( 'row-major', 'upper', 2, 2, A, 2, B, 2 );
+* // B => [ 1.0, 2.0, 0.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var B = new Float32Array( 4 );
+*
+* slacpy( 'row-major', 'lower', 2, 2, A, 2, B, 2 );
+* // B => [ 1.0, 0.0, 3.0, 4.0 ]
+*/
+function slacpy( order, uplo, M, N, A, LDA, B, LDB ) {
+ var sa1;
+ var sa2;
+ var sb1;
+ var sb2;
+ if ( !isLayout( order ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+ }
+ if ( order === 'column-major' ) {
+ sa1 = 1;
+ sa2 = LDA;
+ sb1 = 1;
+ sb2 = LDB;
+ } else { // order === 'row-major'
+ if ( LDA < N ) {
+ throw new RangeError( format( 'invalid argument. Sixth argument must be greater than or equal to %d. Value: `%d`.', N, LDA ) );
+ }
+ if ( LDB < N ) {
+ throw new RangeError( format( 'invalid argument. Eighth argument must be greater than or equal to %d. Value: `%d`.', N, LDB ) );
+ }
+ sa1 = LDA;
+ sa2 = 1;
+ sb1 = LDB;
+ sb2 = 1;
+ }
+ return base( uplo, M, N, A, sa1, sa2, 0, B, sb1, sb2, 0 );
+}
+
+
+// EXPORTS //
+
+module.exports = slacpy;
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/package.json b/lib/node_modules/@stdlib/lapack/base/slacpy/package.json
new file mode 100644
index 00000000000..dd70a49b031
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/package.json
@@ -0,0 +1,67 @@
+{
+ "name": "@stdlib/lapack/base/slacpy",
+ "version": "0.0.0",
+ "description": "Copy all or part of a matrix A to another matrix B.",
+ "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",
+ "lapack",
+ "slacpy",
+ "copy",
+ "linear",
+ "algebra",
+ "subroutines",
+ "array",
+ "ndarray",
+ "matrix",
+ "float32"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/test/test.js b/lib/node_modules/@stdlib/lapack/base/slacpy/test/test.js
new file mode 100644
index 00000000000..2e06e4e0a1c
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 slacpy = 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 slacpy, '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 slacpy.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 slacpy = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( slacpy, 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 slacpy;
+ var main;
+
+ main = require( './../lib/slacpy.js' );
+
+ slacpy = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( slacpy, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/slacpy/test/test.ndarray.js
new file mode 100644
index 00000000000..b14e8085ae4
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/test/test.ndarray.js
@@ -0,0 +1,270 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 Float32Array = require( '@stdlib/array/float32' );
+var slacpy = require( './../lib/ndarray.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof slacpy, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 11', function test( t ) {
+ t.strictEqual( slacpy.length, 11, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function copies all of a matrix `A` to another matrix `B` (row-major)', function test( t ) {
+ var expected;
+ var out;
+ var A;
+ var B;
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ out = slacpy( 'all', 2, 3, A, 3, 1, 1, B, 3, 1, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0 ] );
+
+ out = slacpy( 'all', 2, 3, A, -3, -1, 6, B, 3, 1, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ out = slacpy( 'all', 3, 2, A, 2, 1, 1, B, 2, 1, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies part of a matrix `A` to another matrix `B` (row-major, upper)', function test( t ) {
+ var expected;
+ var out;
+ var A;
+ var B;
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 0.0, 5.0, 6.0 ] );
+
+ out = slacpy( 'upper', 2, 3, A, 3, 1, 1, B, 3, 1, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 3.0, 2.0, 1.0, 0.0, 5.0, 4.0 ] );
+
+ out = slacpy( 'upper', 2, 3, A, 3, -1, 3, B, 3, 1, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 2.0, 0.0, 4.0, 0.0, 0.0 ] );
+
+ out = slacpy( 'upper', 3, 2, A, 2, 1, 1, B, 2, 1, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies part of a matrix `A` to another matrix `B` (row-major, lower)', function test( t ) {
+ var expected;
+ var out;
+ var A;
+ var B;
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 4.0, 5.0, 0.0 ] );
+
+ out = slacpy( 'lower', 2, 3, A, 3, 1, 1, B, 3, 1, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 4.0, 0.0, 0.0, 1.0, 2.0, 0.0 ] );
+
+ out = slacpy( 'lower', 2, 3, A, -3, 1, 4, B, 3, 1, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 0.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ out = slacpy( 'lower', 3, 2, A, 2, 1, 1, B, 2, 1, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies all of a matrix `A` to another matrix `B` (column-major)', function test( t ) {
+ var expected;
+ var out;
+ var A;
+ var B;
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ out = slacpy( 'all', 2, 3, A, 1, 2, 1, B, 1, 2, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0 ] );
+
+ out = slacpy( 'all', 2, 3, A, 1, 2, 1, B, -1, -2, 8 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ out = slacpy( 'all', 3, 2, A, 1, 3, 1, B, 1, 3, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies part of a matrix `A` to another matrix `B` (column-major, upper)', function test( t ) {
+ var expected;
+ var out;
+ var A;
+ var B;
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 0.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ out = slacpy( 'upper', 2, 3, A, 1, 2, 1, B, 1, 2, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 4.0, 3.0, 6.0, 5.0 ] );
+
+ out = slacpy( 'upper', 2, 3, A, 1, 2, 1, B, -1, 2, 4 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 4.0, 5.0, 0.0 ] );
+
+ out = slacpy( 'upper', 3, 2, A, 1, 3, 1, B, 1, 3, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies part of a matrix `A` to another matrix `B` (column-major, lower)', function test( t ) {
+ var expected;
+ var out;
+ var A;
+ var B;
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 2.0, 0.0, 4.0, 0.0, 0.0 ] );
+
+ out = slacpy( 'lower', 2, 3, A, 1, 2, 1, B, 1, 2, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.0, 1.0, 2.0 ] );
+
+ out = slacpy( 'lower', 2, 3, A, 1, 2, 1, B, 1, -2, 7 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+ expected = new Float32Array( [ 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 0.0, 5.0, 6.0 ] );
+
+ out = slacpy( 'lower', 3, 2, A, 1, 3, 1, B, 1, 3, 3 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies all of a matrix `A` to another matrix `B` (column-major, lower, complex access patterns)', function test( t ) {
+ var out;
+ var A;
+ var B;
+
+ /* eslint-disable array-element-newline, no-multi-spaces */
+
+ A = new Float32Array([
+ 999, 999, 999, 999, 999, 999,
+ 999, 1, 999, 2, 999, 3,
+ 999, 0, 999, 4, 999, 5,
+ 999, 0, 999, 0, 999, 6,
+ 999, 999, 999, 999, 999, 999
+ ]);
+ B = new Float32Array([
+ 999, 999, 999, 999, 999, 999,
+ 999, 999, 999, 999, 999, 999,
+ 999, 999, 999, 999, 999, 999,
+ 999, 999, 999, 999, 999, 999,
+ 999, 999, 999, 999, 999, 999
+ ]);
+
+ /* eslint-enable array-element-newline, no-multi-spaces */
+
+ out = slacpy( 'all', 3, 3, A, 2, 6, 7, B, 2, 6, 7 );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, A, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/slacpy/test/test.slacpy.js b/lib/node_modules/@stdlib/lapack/base/slacpy/test/test.slacpy.js
new file mode 100644
index 00000000000..83e5da4bcf9
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/slacpy/test/test.slacpy.js
@@ -0,0 +1,282 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 uniform = require( '@stdlib/random/array/uniform' );
+var Float32Array = require( '@stdlib/array/float32' );
+var slacpy = require( './../lib/slacpy.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof slacpy, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 8', function test( t ) {
+ t.strictEqual( slacpy.length, 8, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided an invalid first argument', function test( t ) {
+ var values;
+ var A;
+ var B;
+ var i;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop'
+ ];
+
+ A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ B = new Float32Array( 4 );
+
+ 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() {
+ slacpy( value, 'all', 2, 2, A, 2, B, 2 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid sixth argument (row-major)', function test( t ) {
+ var values;
+ var A;
+ var B;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ B = new Float32Array( 4 );
+
+ 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() {
+ slacpy( 'row-major', 'all', 2, 2, A, value, B, 2 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid eighth argument (row-major)', function test( t ) {
+ var values;
+ var A;
+ var B;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ B = new Float32Array( 4 );
+
+ 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() {
+ slacpy( 'row-major', 'all', 2, 2, A, 2, B, value );
+ };
+ }
+});
+
+tape( 'the function copies all of a matrix `A` to another matrix `B` (row-major)', function test( t ) {
+ var opts;
+ var out;
+ var A;
+ var B;
+ var M;
+ var N;
+
+ M = 5;
+ N = 8;
+
+ opts = {
+ 'dtype': 'float32'
+ };
+
+ A = uniform( M*N, -10.0, 10.0, opts );
+ B = new Float32Array( M*N );
+
+ out = slacpy( 'row-major', 'all', M, N, A, N, B, N );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, A, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies a part of a matrix `A` to another matrix `B` (row-major, upper)', function test( t ) {
+ var opts;
+ var out;
+ var A;
+ var B;
+ var M;
+ var N;
+
+ M = 5;
+ N = 8;
+
+ opts = {
+ 'dtype': 'float32'
+ };
+
+ A = uniform( M*N, -10.0, 10.0, opts );
+ B = new Float32Array( M*N );
+
+ out = slacpy( 'row-major', 'lower', M, N, A, N, B, N );
+ t.strictEqual( out, B, 'returns expected value' );
+
+ out = slacpy( 'row-major', 'upper', M, N, A, N, B, N );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, A, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies a part of a matrix `A` to another matrix `B` (row-major, lower)', function test( t ) {
+ var opts;
+ var out;
+ var A;
+ var B;
+ var M;
+ var N;
+
+ M = 5;
+ N = 8;
+
+ opts = {
+ 'dtype': 'float32'
+ };
+
+ A = uniform( M*N, -10.0, 10.0, opts );
+ B = new Float32Array( M*N );
+
+ out = slacpy( 'row-major', 'upper', M, N, A, N, B, N );
+ t.strictEqual( out, B, 'returns expected value' );
+
+ out = slacpy( 'row-major', 'lower', M, N, A, N, B, N );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, A, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies all of a matrix `A` to another matrix `B` (column-major)', function test( t ) {
+ var opts;
+ var out;
+ var A;
+ var B;
+ var M;
+ var N;
+
+ M = 5;
+ N = 8;
+
+ opts = {
+ 'dtype': 'float32'
+ };
+
+ A = uniform( M*N, -10.0, 10.0, opts );
+ B = new Float32Array( M*N );
+
+ out = slacpy( 'column-major', 'all', M, N, A, M, B, M );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, A, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies a part of a matrix `A` to another matrix `B` (column-major, upper)', function test( t ) {
+ var opts;
+ var out;
+ var A;
+ var B;
+ var M;
+ var N;
+
+ M = 5;
+ N = 8;
+
+ opts = {
+ 'dtype': 'float32'
+ };
+
+ A = uniform( M*N, -10.0, 10.0, opts );
+ B = new Float32Array( M*N );
+
+ out = slacpy( 'column-major', 'lower', M, N, A, M, B, M );
+ t.strictEqual( out, B, 'returns expected value' );
+
+ out = slacpy( 'column-major', 'upper', M, N, A, M, B, M );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, A, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function copies a part of a matrix `A` to another matrix `B` (column-major, lower)', function test( t ) {
+ var opts;
+ var out;
+ var A;
+ var B;
+ var M;
+ var N;
+
+ M = 5;
+ N = 8;
+
+ opts = {
+ 'dtype': 'float32'
+ };
+
+ A = uniform( M*N, -10.0, 10.0, opts );
+ B = new Float32Array( M*N );
+
+ out = slacpy( 'column-major', 'upper', M, N, A, M, B, M );
+ t.strictEqual( out, B, 'returns expected value' );
+
+ out = slacpy( 'column-major', 'lower', M, N, A, M, B, M );
+ t.strictEqual( out, B, 'returns expected value' );
+ t.deepEqual( out, A, 'returns expected value' );
+
+ t.end();
+});