From a20a5437b930725cc76e28e664551b762f649726 Mon Sep 17 00:00:00 2001
From: iampratik13 <bhagwatpratik781@gmail.com>
Date: Sat, 30 May 2026 13:50:10 +0530
Subject: [PATCH] feat: add lapack/base/dlapmr

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
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  - task: lint_markdown_docs
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    status: passed
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    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
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    status: passed
---
---
 .../@stdlib/lapack/base/dlapmr/README.md      | 264 ++++++++++
 .../lapack/base/dlapmr/benchmark/benchmark.js | 123 +++++
 .../dlapmr/benchmark/benchmark.ndarray.js     | 134 +++++
 .../@stdlib/lapack/base/dlapmr/docs/repl.txt  | 117 +++++
 .../lapack/base/dlapmr/docs/types/index.d.ts  | 120 +++++
 .../lapack/base/dlapmr/docs/types/test.ts     | 190 +++++++
 .../lapack/base/dlapmr/examples/index.js      |  43 ++
 .../@stdlib/lapack/base/dlapmr/lib/base.js    | 128 +++++
 .../@stdlib/lapack/base/dlapmr/lib/dlapmr.js  |  83 +++
 .../@stdlib/lapack/base/dlapmr/lib/index.js   |  72 +++
 .../@stdlib/lapack/base/dlapmr/lib/main.js    |  35 ++
 .../@stdlib/lapack/base/dlapmr/lib/ndarray.js |  60 +++
 .../@stdlib/lapack/base/dlapmr/package.json   |  72 +++
 .../test/fixtures/column_major_backward.json  |  28 ++
 .../test/fixtures/column_major_forward.json   |  28 ++
 .../large_strides/column_major_backward.json  |  75 +++
 .../large_strides/column_major_forward.json   |  75 +++
 .../large_strides/row_major_backward.json     |  75 +++
 .../row_major_backward_large.json             | 117 +++++
 .../large_strides/row_major_forward.json      |  75 +++
 .../row_major_forward_large.json              | 117 +++++
 .../mixed_strides/column_major_backward.json  |  60 +++
 .../mixed_strides/column_major_forward.json   |  60 +++
 .../mixed_strides/row_major_backward.json     |  60 +++
 .../row_major_backward_large.json             |  89 ++++
 .../mixed_strides/row_major_forward.json      |  60 +++
 .../row_major_forward_large.json              |  89 ++++
 .../column_major_backward.json                |  60 +++
 .../column_major_forward.json                 |  60 +++
 .../negative_strides/row_major_backward.json  |  60 +++
 .../row_major_backward_large.json             |  89 ++++
 .../negative_strides/row_major_forward.json   |  60 +++
 .../row_major_forward_large.json              |  89 ++++
 .../offsets/column_major_backward.json        |  63 +++
 .../offsets/column_major_forward.json         |  63 +++
 .../fixtures/offsets/row_major_backward.json  |  63 +++
 .../offsets/row_major_backward_large.json     |  92 ++++
 .../fixtures/offsets/row_major_forward.json   |  63 +++
 .../offsets/row_major_forward_large.json      |  92 ++++
 .../test/fixtures/row_major_backward.json     |  28 ++
 .../fixtures/row_major_backward_large.json    |  30 ++
 .../test/fixtures/row_major_forward.json      |  28 ++
 .../fixtures/row_major_forward_large.json     |  30 ++
 .../lapack/base/dlapmr/test/test.dlapmr.js    | 308 ++++++++++++
 .../@stdlib/lapack/base/dlapmr/test/test.js   |  92 ++++
 .../lapack/base/dlapmr/test/test.ndarray.js   | 474 ++++++++++++++++++
 46 files changed, 4293 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/README.md
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/benchmark/benchmark.ndarray.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/lib/base.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/lib/dlapmr.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/lib/ndarray.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/package.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/column_major_backward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/column_major_forward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/column_major_backward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/column_major_forward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_backward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_backward_large.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_forward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_forward_large.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/column_major_backward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/column_major_forward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_backward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_backward_large.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_forward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_forward_large.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/column_major_backward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/column_major_forward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_backward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_backward_large.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_forward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_forward_large.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/column_major_backward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/column_major_forward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_backward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_backward_large.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_forward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_forward_large.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_backward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_backward_large.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_forward.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_forward_large.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.dlapmr.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.ndarray.js

diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/README.md b/lib/node_modules/@stdlib/lapack/base/dlapmr/README.md
new file mode 100644
index 000000000000..82e3efaf1fca
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/README.md
@@ -0,0 +1,264 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# dlapmr
+
+> Rearrange the rows of a matrix as specified by a permutation vector.
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var dlapmr = require( '@stdlib/lapack/base/dlapmr' );
+```
+
+#### dlapmr( order, forwrd, M, N, X, LDX, K, strideK )
+
+Rearranges the rows of an `M` by `N` matrix `X` as specified by a permutation vector `K`.
+
+```javascript
+var Int32Array = require( '@stdlib/array/int32' );
+var Float64Array = require( '@stdlib/array/float64' );
+
+var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+var K = new Int32Array( [ 2, 0, 1 ] );
+
+dlapmr( 'row-major', true, 3, 2, X, 2, K, 1 );
+// X => <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+```
+
+The function has the following parameters:
+
+-   **order**: storage layout.
+-   **forwrd**: boolean indicating whether to apply a forward or backward permutation. If `true`, forward permutation: `X(K(I),*)` is moved to `X(I,*)`. If `false`, backward permutation: `X(I,*)` is moved to `X(K(I),*)`.
+-   **M**: number of rows of `X`.
+-   **N**: number of columns of `X`.
+-   **X**: input matrix stored in linear memory as a [`Float64Array`][mdn-float64array].
+-   **LDX**: stride of the first dimension of `X` (a.k.a., leading dimension of the matrix `X`).
+-   **K**: permutation vector as an [`Int32Array`][mdn-int32array].
+-   **strideK**: stride length of `K`.
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+<!-- eslint-disable stdlib/capitalized-comments -->
+
+```javascript
+var Int32Array = require( '@stdlib/array/int32' );
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Initial arrays...
+var X0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var K0 = new Int32Array( [ 0, 2, 0, 1 ] );
+
+// Create offset views...
+var X1 = new Float64Array( X0.buffer, X0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var K1 = new Int32Array( K0.buffer, K0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+dlapmr( 'row-major', true, 3, 2, X1, 2, K1, 1 );
+// X0 => <Float64Array>[ 0.0, 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+```
+
+#### dlapmr.ndarray( forwrd, M, N, X, sx1, sx2, ox, K, sk, ok )
+
+Rearranges the rows of an `M` by `N` matrix `X` as specified by a permutation vector `K` using alternative indexing semantics.
+
+```javascript
+var Int32Array = require( '@stdlib/array/int32' );
+var Float64Array = require( '@stdlib/array/float64' );
+
+var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+var K = new Int32Array( [ 2, 0, 1 ] );
+
+dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, K, 1, 0 );
+// X => <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+```
+
+The function has the following parameters:
+
+-   **forwrd**: boolean indicating whether to apply a forward or backward permutation.
+-   **M**: number of rows of `X`.
+-   **N**: number of columns of `X`.
+-   **X**: input matrix stored in linear memory as a [`Float64Array`][mdn-float64array].
+-   **sx1**: stride of the first dimension of `X`.
+-   **sx2**: stride of the second dimension of `X`.
+-   **ox**: starting index for `X`.
+-   **K**: permutation vector as an [`Int32Array`][mdn-int32array].
+-   **sk**: stride length of `K`.
+-   **ok**: starting index for `K`.
+
+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,
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Int32Array = require( '@stdlib/array/int32' );
+var Float64Array = require( '@stdlib/array/float64' );
+
+var X = new Float64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var K = new Int32Array( [ 0, 0, 2, 0, 1 ] );
+
+dlapmr.ndarray( true, 3, 2, X, 2, 1, 2, K, 1, 2 );
+// X => <Float64Array>[ 0.0, 0.0, 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   `dlapmr()` corresponds to the [LAPACK][LAPACK] function [`dlapmr`][lapack-dlapmr].
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var dlapmr = require( '@stdlib/lapack/base/dlapmr' );
+
+// Specify matrix meta data:
+var shape = [ 4, 2 ];
+var order = 'row-major';
+var strides = [ 2, 1 ];
+var offset = 0;
+
+// Create a matrix stored in linear memory:
+var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+console.log( ndarray2array( X, shape, strides, offset, order ) );
+
+// Define a permutation vector:
+var K = new Int32Array( [ 1, 3, 0, 2 ] );
+
+// Rearrange rows:
+dlapmr( order, true, shape[ 0 ], shape[ 1 ], X, strides[ 0 ], K, 1 );
+console.log( ndarray2array( X, shape, strides, offset, order ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+TODO
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+TODO
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+[lapack]: https://www.netlib.org/lapack/explore-html/
+
+[lapack-dlapmr]: https://www.netlib.org/lapack/explore-html/d3/d10/group__lapmr.html
+
+[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array
+
+[mdn-int32array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Int32Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/benchmark/benchmark.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/benchmark/benchmark.js
new file mode 100644
index 000000000000..a1dad2484234
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/benchmark/benchmark.js
@@ -0,0 +1,123 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var Int32Array = require( '@stdlib/array/int32' );
+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 format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dlapmr = require( './../lib/dlapmr.js' );
+
+
+// VARIABLES //
+
+var LAYOUTS = [
+	'row-major',
+	'column-major'
+];
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {string} order - storage layout
+* @param {PositiveInteger} N - number of elements along each dimension
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, N ) {
+	var K;
+	var X;
+	var i;
+
+	// Create an identity permutation to avoid corrupting data across iterations:
+	K = new Int32Array( N );
+	for ( i = 0; i < N; i++ ) {
+		K[ i ] = i;
+	}
+	X = uniform( N*N, -10.0, 10.0, {
+		'dtype': 'float64'
+	});
+	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 = dlapmr( order, true, N, N, X, N, K, 1 );
+			if ( isnan( z[ i%z.length ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( z[ i%z.length ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var min;
+	var max;
+	var ord;
+	var N;
+	var f;
+	var i;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < LAYOUTS.length; k++ ) {
+		ord = LAYOUTS[ k ];
+		for ( i = min; i <= max; i++ ) {
+			N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+			f = createBenchmark( ord, N );
+			bench( format( '%s::square_matrix:order=%s,size=%d', pkg, ord, N*N ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..0c1e421556e0
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/benchmark/benchmark.ndarray.js
@@ -0,0 +1,134 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var Int32Array = require( '@stdlib/array/int32' );
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
+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 format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dlapmr = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var LAYOUTS = [
+	'row-major',
+	'column-major'
+];
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {string} order - storage layout
+* @param {PositiveInteger} N - number of elements along each dimension
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, N ) {
+	var sx1;
+	var sx2;
+	var K;
+	var X;
+	var i;
+
+	if ( isColumnMajor( order ) ) {
+		sx1 = 1;
+		sx2 = N;
+	} else { // order === 'row-major'
+		sx1 = N;
+		sx2 = 1;
+	}
+
+	// Create identity permutation to avoid corrupting data across iterations:
+	K = new Int32Array( N );
+	for ( i = 0; i < N; i++ ) {
+		K[ i ] = i;
+	}
+	X = uniform( N*N, -10.0, 10.0, {
+		'dtype': 'float64'
+	});
+	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 = dlapmr( true, N, N, X, sx1, sx2, 0, K, 1, 0 );
+			if ( isnan( z[ i%z.length ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( z[ i%z.length ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var min;
+	var max;
+	var ord;
+	var N;
+	var f;
+	var i;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < LAYOUTS.length; k++ ) {
+		ord = LAYOUTS[ k ];
+		for ( i = min; i <= max; i++ ) {
+			N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+			f = createBenchmark( ord, N );
+			bench( format( '%s::square_matrix:ndarray:order=%s,size=%d', pkg, ord, N*N ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/dlapmr/docs/repl.txt
new file mode 100644
index 000000000000..fdc19c2d474d
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/docs/repl.txt
@@ -0,0 +1,117 @@
+
+{{alias}}( order, forwrd, M, N, X, LDX, K, strideK )
+    Rearranges the rows of an `M` by `N` matrix `X` as specified by a
+    permutation vector `K`.
+
+    Indexing is relative to the first index. To introduce an offset, use typed
+    array views.
+
+    The permutation vector `K` is modified during execution but restored to its
+    original state on exit.
+
+    Parameters
+    ----------
+    order: string
+        Row-major (C-style) or column-major (Fortran-style) order. Must be
+        either 'row-major' or 'column-major'.
+
+    forwrd: boolean
+        Boolean indicating whether to apply a forward or backward permutation.
+        If true, rows are rearranged as X(K(I),*) -> X(I,*). If false, rows are
+        rearranged as X(I,*) -> X(K(I),*).
+
+    M: integer
+        Number of rows in `X`.
+
+    N: integer
+        Number of columns in `X`.
+
+    X: Float64Array
+        Input matrix.
+
+    LDX: integer
+        Stride of the first dimension of `X` (a.k.a., leading dimension of the
+        matrix `X`).
+
+    K: Int32Array
+        Permutation vector.
+
+    strideK: integer
+        Stride length of `K`.
+
+    Returns
+    -------
+    X: Float64Array
+        Mutated input matrix.
+
+    Examples
+    --------
+    > var K = new {{alias:@stdlib/array/int32}}( [ 2, 0, 1 ] );
+    > var X = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+    > {{alias}}( 'row-major', true, 3, 2, X, 2, K, 1 )
+    <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+
+    // Using typed array views:
+    > var K0 = new {{alias:@stdlib/array/int32}}( [ 0, 2, 0, 1 ] );
+    > var X0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+    > K = new Int32Array( K0.buffer, K0.BYTES_PER_ELEMENT*1 );
+    > X = new Float64Array( X0.buffer, X0.BYTES_PER_ELEMENT*1 );
+    > {{alias}}( 'row-major', true, 3, 2, X, 2, K, 1 );
+    > X0
+    <Float64Array>[ 0.0, 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+
+
+{{alias}}.ndarray( forwrd, M, N, X, sx1, sx2, ox, K, sk, ok )
+    Rearranges the rows of an `M` by `N` matrix `X` as specified by a
+    permutation vector `K` 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
+    ----------
+    forwrd: boolean
+        Boolean indicating whether to apply a forward or backward permutation.
+
+    M: integer
+        Number of rows in `X`.
+
+    N: integer
+        Number of columns in `X`.
+
+    X: Float64Array
+        Input matrix.
+
+    sx1: integer
+        Stride of the first dimension of `X`.
+
+    sx2: integer
+        Stride of the second dimension of `X`.
+
+    ox: integer
+        Index offset for `X`.
+
+    K: Int32Array
+        Permutation vector.
+
+    sk: integer
+        Stride length of `K`.
+
+    ok: integer
+        Index offset for `K`.
+
+    Returns
+    -------
+    X: Float64Array
+        Mutated input matrix.
+
+    Examples
+    --------
+    > var K = new {{alias:@stdlib/array/int32}}( [ 2, 0, 1 ] );
+    > var X = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+    > {{alias}}.ndarray( true, 3, 2, X, 2, 1, 0, K, 1, 0 )
+    <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+
+    See Also
+    --------
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dlapmr/docs/types/index.d.ts
new file mode 100644
index 000000000000..b15894cf1c27
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/docs/types/index.d.ts
@@ -0,0 +1,120 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { Layout } from '@stdlib/types/blas';
+
+/**
+* Interface describing `dlapmr`.
+*/
+interface Routine {
+	/**
+	* Rearranges the rows of an `M` by `N` matrix `X` as specified by a permutation vector `K`.
+	*
+	* @param order - storage layout
+	* @param forwrd - boolean indicating whether to apply a forward permutation
+	* @param M - number of rows of `X`
+	* @param N - number of columns of `X`
+	* @param X - input matrix
+	* @param LDX - leading dimension of `X`
+	* @param K - permutation vector
+	* @param strideK - stride length of `K`
+	* @returns permuted matrix `X`
+	*
+	* @example
+	* var Int32Array = require( '@stdlib/array/int32' );
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	* var K = new Int32Array( [ 2, 0, 1 ] );
+	*
+	* dlapmr( 'row-major', true, 3, 2, X, 2, K, 1 );
+	* // X => <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+	*/
+	( order: Layout, forwrd: boolean, M: number, N: number, X: Float64Array, LDX: number, K: Int32Array, strideK: number ): Float64Array;
+
+	/**
+	* Rearranges the rows of an `M` by `N` matrix `X` as specified by a permutation vector `K` using alternative indexing semantics.
+	*
+	* @param forwrd - boolean indicating whether to apply a forward permutation
+	* @param M - number of rows of `X`
+	* @param N - number of columns of `X`
+	* @param X - input matrix
+	* @param strideX1 - stride of the first dimension of `X`
+	* @param strideX2 - stride of the second dimension of `X`
+	* @param offsetX - starting index for `X`
+	* @param K - permutation vector
+	* @param strideK - stride length of `K`
+	* @param offsetK - starting index for `K`
+	* @returns permuted matrix `X`
+	*
+	* @example
+	* var Int32Array = require( '@stdlib/array/int32' );
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	* var K = new Int32Array( [ 2, 0, 1 ] );
+	*
+	* dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, K, 1, 0 );
+	* // X => <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+	*/
+	ndarray( forwrd: boolean, M: number, N: number, X: Float64Array, strideX1: number, strideX2: number, offsetX: number, K: Int32Array, strideK: number, offsetK: number ): Float64Array;
+}
+
+/**
+* Rearranges the rows of an `M` by `N` matrix `X` as specified by a permutation vector `K`.
+*
+* @param order - storage layout
+* @param forwrd - boolean indicating whether to apply a forward permutation
+* @param M - number of rows of `X`
+* @param N - number of columns of `X`
+* @param X - input matrix
+* @param LDX - leading dimension of `X`
+* @param K - permutation vector
+* @param strideK - stride length of `K`
+* @returns permuted matrix `X`
+*
+* @example
+* var Int32Array = require( '@stdlib/array/int32' );
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var K = new Int32Array( [ 2, 0, 1 ] );
+*
+* dlapmr( 'row-major', true, 3, 2, X, 2, K, 1 );
+* // X => <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+*
+* @example
+* var Int32Array = require( '@stdlib/array/int32' );
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var K = new Int32Array( [ 2, 0, 1 ] );
+*
+* dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, K, 1, 0 );
+* // X => <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+*/
+declare var dlapmr: Routine;
+
+
+// EXPORTS //
+
+export = dlapmr;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/docs/types/test.ts b/lib/node_modules/@stdlib/lapack/base/dlapmr/docs/types/test.ts
new file mode 100644
index 000000000000..f1553167da95
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/docs/types/test.ts
@@ -0,0 +1,190 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import dlapmr = require( './index' );
+
+
+// TESTS //
+
+// The function returns a Float64Array...
+{
+	const X = new Float64Array( 6 );
+	const K = new Int32Array( 3 );
+
+	dlapmr( 'row-major', true, 3, 2, X, 2, K, 1 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+	const X = new Float64Array( 6 );
+	const K = new Int32Array( 3 );
+
+	dlapmr( 5, true, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( true, true, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( false, true, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( null, true, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( void 0, true, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( [], true, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( {}, true, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( ( x: number ): number => x, true, 3, 2, X, 2, K, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a boolean...
+{
+	const X = new Float64Array( 6 );
+	const K = new Int32Array( 3 );
+
+	dlapmr( 'row-major', '5', 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', 5, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', null, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', void 0, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', [], 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', {}, 3, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', ( x: number ): number => x, 3, 2, X, 2, K, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+	const X = new Float64Array( 6 );
+	const K = new Int32Array( 3 );
+
+	dlapmr( 'row-major', true, '5', 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, true, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, false, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, null, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, void 0, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, [], 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, {}, 2, X, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, ( x: number ): number => x, 2, X, 2, K, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
+{
+	const K = new Int32Array( 3 );
+
+	dlapmr( 'row-major', true, 3, 2, '5', 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, 5, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, true, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, false, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, null, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, void 0, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, [], 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, {}, 2, K, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, ( x: number ): number => x, 2, K, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not an Int32Array...
+{
+	const X = new Float64Array( 6 );
+
+	dlapmr( 'row-major', true, 3, 2, X, 2, '5', 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2, 5, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2, true, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2, false, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2, null, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2, void 0, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2, [], 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2, {}, 1 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2, ( x: number ): number => x, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const X = new Float64Array( 6 );
+	const K = new Int32Array( 3 );
+
+	dlapmr(); // $ExpectError
+	dlapmr( 'row-major' ); // $ExpectError
+	dlapmr( 'row-major', true ); // $ExpectError
+	dlapmr( 'row-major', true, 3 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2 ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2, K ); // $ExpectError
+	dlapmr( 'row-major', true, 3, 2, X, 2, K, 1, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a Float64Array...
+{
+	const X = new Float64Array( 6 );
+	const K = new Int32Array( 3 );
+
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, K, 1, 0 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the `ndarray` method is provided a first argument which is not a boolean...
+{
+	const X = new Float64Array( 6 );
+	const K = new Int32Array( 3 );
+
+	dlapmr.ndarray( '5', 3, 2, X, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( 5, 3, 2, X, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( null, 3, 2, X, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( void 0, 3, 2, X, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( [], 3, 2, X, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( {}, 3, 2, X, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( ( x: number ): number => x, 3, 2, X, 2, 1, 0, K, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a Float64Array...
+{
+	const K = new Int32Array( 3 );
+
+	dlapmr.ndarray( true, 3, 2, '5', 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, 5, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, true, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, false, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, null, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, void 0, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, [], 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, {}, 2, 1, 0, K, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, ( x: number ): number => x, 2, 1, 0, K, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eighth argument which is not an Int32Array...
+{
+	const X = new Float64Array( 6 );
+
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, '5', 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, 5, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, true, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, false, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, null, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, void 0, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, [], 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, {}, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+	const X = new Float64Array( 6 );
+	const K = new Int32Array( 3 );
+
+	dlapmr.ndarray(); // $ExpectError
+	dlapmr.ndarray( true ); // $ExpectError
+	dlapmr.ndarray( true, 3 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, K ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, K, 1 ); // $ExpectError
+	dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, K, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/examples/index.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/examples/index.js
new file mode 100644
index 000000000000..c3f8f396a9e8
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/examples/index.js
@@ -0,0 +1,43 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var dlapmr = require( './../lib' );
+
+// Specify matrix meta data:
+var shape = [ 4, 2 ];
+var strides = [ 2, 1 ];
+var offset = 0;
+var order = 'row-major';
+
+// Create a matrix stored in linear memory:
+var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+console.log( ndarray2array( X, shape, strides, offset, order ) );
+// => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ], [ 7.0, 8.0 ] ]
+
+// Define a permutation vector:
+var K = new Int32Array( [ 1, 3, 0, 2 ] );
+
+// Rearrange rows (forward permutation):
+dlapmr( order, true, shape[ 0 ], shape[ 1 ], X, strides[ 0 ], K, 1 );
+console.log( ndarray2array( X, shape, strides, offset, order ) );
+// => [ [ 3.0, 4.0 ], [ 7.0, 8.0 ], [ 1.0, 2.0 ], [ 5.0, 6.0 ] ]
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/base.js
new file mode 100644
index 000000000000..835095e9918f
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/base.js
@@ -0,0 +1,128 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var dswap = require( '@stdlib/blas/base/dswap' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Rearranges the rows of an `M` by `N` matrix `X` as specified by a permutation vector `K`.
+*
+* @private
+* @param {boolean} forwrd - boolean indicating whether to apply a forward permutation
+* @param {NonNegativeInteger} M - number of rows of `X`
+* @param {NonNegativeInteger} N - number of columns of `X`
+* @param {Float64Array} X - input matrix
+* @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`
+* @param {Int32Array} K - permutation vector
+* @param {integer} strideK - stride length of `K`
+* @param {NonNegativeInteger} offsetK - starting index for `K`
+* @returns {Float64Array} permuted matrix `X`
+*
+* @example
+* var Int32Array = require( '@stdlib/array/int32' );
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+* var K = new Int32Array( [ 2, 0, 1 ] );
+*
+* dlapmr( true, 3, 2, X, 2, 1, 0, K, 1, 0 );
+* // X => <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+*/
+function dlapmr( forwrd, M, N, X, strideX1, strideX2, offsetX, K, strideK, offsetK ) {
+	var temp;
+	var ik;
+	var ii;
+	var j;
+	var i;
+
+	if ( M <= 1 ) {
+		return X;
+	}
+	// Negate all entries of K to mark them as unprocessed...
+	ik = offsetK;
+	for ( i = 0; i < M; i++ ) {
+		K[ ik ] = -K[ ik ] - 1;
+		ik += strideK;
+	}
+	if ( forwrd ) {
+		// Forward permutation...
+		for ( i = 0; i < M; i++ ) {
+			ik = offsetK + ( i * strideK );
+			if ( K[ ik ] >= 0 ) {
+				continue;
+			}
+			j = i;
+			K[ ik ] = -K[ ik ] - 1;
+			ii = K[ ik ]; // `ii` is the source row index
+
+			while ( true ) {
+				ik = offsetK + ( ii * strideK );
+				if ( K[ ik ] >= 0 ) {
+					break;
+				}
+				// Swap row `j` and row `ii`...
+				dswap( N, X, strideX2, offsetX + ( j * strideX1 ), X, strideX2, offsetX + ( ii * strideX1 ) );
+
+				K[ ik ] = -K[ ik ] - 1;
+				temp = j;
+				j = ii;
+				ii = K[ ik ];
+
+				// Prevent infinite loop for identity permutations:
+				if ( ii === temp ) {
+					break;
+				}
+			}
+		}
+	} else {
+		// Backward permutation...
+		for ( i = 0; i < M; i++ ) {
+			ik = offsetK + ( i * strideK );
+			if ( K[ ik ] >= 0 ) {
+				continue;
+			}
+			K[ ik ] = -K[ ik ] - 1;
+			j = K[ ik ];
+
+			while ( j !== i ) {
+				// Swap row `i` and row `j`...
+				dswap( N, X, strideX2, offsetX + ( i * strideX1 ), X, strideX2, offsetX + ( j * strideX1 ) );
+
+				ik = offsetK + ( j * strideK );
+				K[ ik ] = -K[ ik ] - 1;
+				j = K[ ik ];
+			}
+		}
+	}
+	return X;
+}
+
+
+// EXPORTS //
+
+module.exports = dlapmr;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/dlapmr.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/dlapmr.js
new file mode 100644
index 000000000000..3e7ba032ca9a
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/dlapmr.js
@@ -0,0 +1,83 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
+var max = require( '@stdlib/math/base/special/max' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Rearranges the rows of an `M` by `N` matrix `X` as specified by a permutation vector `K`.
+*
+* @param {string} order - storage layout
+* @param {boolean} forwrd - boolean indicating whether to apply a forward permutation
+* @param {NonNegativeInteger} M - number of rows of `X`
+* @param {NonNegativeInteger} N - number of columns of `X`
+* @param {Float64Array} X - input matrix
+* @param {PositiveInteger} LDX - leading dimension of `X`
+* @param {Int32Array} K - permutation vector
+* @param {integer} strideK - stride length of `K`
+* @throws {TypeError} first argument must be a valid order
+* @throws {RangeError} sixth argument must be greater than or equal to max(1,N)
+* @throws {RangeError} eighth argument must be a non-zero integer
+* @returns {Float64Array} permuted matrix `X`
+*
+* @example
+* var Int32Array = require( '@stdlib/array/int32' );
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+* var K = new Int32Array( [ 2, 0, 1 ] );
+*
+* dlapmr( 'row-major', true, 3, 2, X, 2, K, 1 );
+* // X => <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+*/
+function dlapmr( order, forwrd, M, N, X, LDX, K, strideK ) {
+	var sx1;
+	var sx2;
+	if ( !isLayout( order ) ) {
+		throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+	}
+	if ( isColumnMajor( order ) ) {
+		sx1 = 1;
+		sx2 = LDX;
+	} else { // order === 'row-major'
+		if ( LDX < max( 1, N ) ) {
+			throw new RangeError( format( 'invalid argument. Sixth argument must be greater than or equal to max(1,%d). Value: `%d`.', N, LDX ) );
+		}
+		sx1 = LDX;
+		sx2 = 1;
+	}
+	if ( strideK === 0 ) {
+		throw new RangeError( format( 'invalid argument. Eighth argument must be a non-zero integer. Value: `%d`.', strideK ) );
+	}
+	return base( forwrd, M, N, X, sx1, sx2, 0, K, strideK, 0 );
+}
+
+
+// EXPORTS //
+
+module.exports = dlapmr;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/index.js
new file mode 100644
index 000000000000..60487f341c2d
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/index.js
@@ -0,0 +1,72 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* LAPACK routine to rearrange the rows of a matrix as specified by a permutation vector.
+*
+* @module @stdlib/lapack/base/dlapmr
+*
+* @example
+* var Int32Array = require( '@stdlib/array/int32' );
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dlapmr = require( '@stdlib/lapack/base/dlapmr' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+* var K = new Int32Array( [ 2, 0, 1 ] );
+*
+* dlapmr( 'row-major', true, 3, 2, X, 2, K, 1 );
+* // X => <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+*
+* @example
+* var Int32Array = require( '@stdlib/array/int32' );
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dlapmr = require( '@stdlib/lapack/base/dlapmr' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+* var K = new Int32Array( [ 2, 0, 1 ] );
+*
+* dlapmr.ndarray( true, 3, 2, X, 2, 1, 0, K, 1, 0 );
+* // X => <Float64Array>[ 5.0, 6.0, 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 dlapmr;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+	dlapmr = main;
+} else {
+	dlapmr = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = dlapmr;
+
+// exports: { "ndarray": "dlapmr.ndarray" }
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/main.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/main.js
new file mode 100644
index 000000000000..009c9555f652
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var dlapmr = require( './dlapmr.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( dlapmr, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = dlapmr;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/ndarray.js
new file mode 100644
index 000000000000..4f04f87a2a81
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/lib/ndarray.js
@@ -0,0 +1,60 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Rearranges the rows of an `M` by `N` matrix `X` as specified by a permutation vector `K` using alternative indexing semantics.
+*
+* @param {boolean} forwrd - boolean indicating whether to apply a forward permutation
+* @param {NonNegativeInteger} M - number of rows of `X`
+* @param {NonNegativeInteger} N - number of columns of `X`
+* @param {Float64Array} X - input matrix
+* @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`
+* @param {Int32Array} K - permutation vector
+* @param {integer} strideK - stride length of `K`
+* @param {NonNegativeInteger} offsetK - starting index for `K`
+* @returns {Float64Array} permuted matrix `X`
+*
+* @example
+* var Int32Array = require( '@stdlib/array/int32' );
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+* var K = new Int32Array( [ 2, 0, 1 ] );
+*
+* dlapmr( true, 3, 2, X, 2, 1, 0, K, 1, 0 );
+* // X => <Float64Array>[ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+*/
+function dlapmr( forwrd, M, N, X, strideX1, strideX2, offsetX, K, strideK, offsetK ) { // eslint-disable-line max-len
+	return base( forwrd, M, N, X, strideX1, strideX2, offsetX, K, strideK, offsetK ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dlapmr;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/package.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/package.json
new file mode 100644
index 000000000000..d57f1f6aff4e
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/package.json
@@ -0,0 +1,72 @@
+{
+  "name": "@stdlib/lapack/base/dlapmr",
+  "version": "0.0.0",
+  "description": "Rearrange the rows of a matrix as specified by a permutation vector.",
+  "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",
+    "dlapmr",
+    "permute",
+    "permutation",
+    "rearrange",
+    "rows",
+    "matrix",
+    "linear",
+    "algebra",
+    "subroutines",
+    "array",
+    "ndarray",
+    "float64",
+    "double",
+    "float64array"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/column_major_backward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/column_major_backward.json
new file mode 100644
index 000000000000..23ddb41553f5
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/column_major_backward.json
@@ -0,0 +1,28 @@
+{
+  "order": "column-major",
+  "forwrd": false,
+
+  "M": 3,
+  "N": 2,
+
+  "X_mat": [
+    [ 1.0, 4.0 ],
+    [ 2.0, 5.0 ],
+    [ 3.0, 6.0 ]
+  ],
+  "X": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ],
+  "strideX1": 1,
+  "strideX2": 3,
+  "offsetX": 0,
+
+  "K": [ 2, 0, 1 ],
+  "strideK": 1,
+  "offsetK": 0,
+
+  "X_out_mat": [
+    [ 2.0, 5.0 ],
+    [ 3.0, 6.0 ],
+    [ 1.0, 4.0 ]
+  ],
+  "X_out": [ 2.0, 3.0, 1.0, 5.0, 6.0, 4.0 ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/column_major_forward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/column_major_forward.json
new file mode 100644
index 000000000000..d8fe843d0a28
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/column_major_forward.json
@@ -0,0 +1,28 @@
+{
+  "order": "column-major",
+  "forwrd": true,
+
+  "M": 3,
+  "N": 2,
+
+  "X_mat": [
+    [ 1.0, 4.0 ],
+    [ 2.0, 5.0 ],
+    [ 3.0, 6.0 ]
+  ],
+  "X": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ],
+  "strideX1": 1,
+  "strideX2": 3,
+  "offsetX": 0,
+
+  "K": [ 2, 0, 1 ],
+  "strideK": 1,
+  "offsetK": 0,
+
+  "X_out_mat": [
+    [ 3.0, 6.0 ],
+    [ 1.0, 4.0 ],
+    [ 2.0, 5.0 ]
+  ],
+  "X_out": [ 3.0, 1.0, 2.0, 6.0, 4.0, 5.0 ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/column_major_backward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/column_major_backward.json
new file mode 100644
index 000000000000..b445339fb615
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/column_major_backward.json
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/column_major_forward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/column_major_forward.json
new file mode 100644
index 000000000000..b089559b5843
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/column_major_forward.json
@@ -0,0 +1,75 @@
+{
+  "order": "column-major",
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_backward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_backward.json
new file mode 100644
index 000000000000..35dc8444315d
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_backward.json
@@ -0,0 +1,75 @@
+{
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_backward_large.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_backward_large.json
new file mode 100644
index 000000000000..5d9a1e0063f5
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_backward_large.json
@@ -0,0 +1,117 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_forward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_forward.json
new file mode 100644
index 000000000000..9ce0471a4223
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_forward.json
@@ -0,0 +1,75 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_forward_large.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_forward_large.json
new file mode 100644
index 000000000000..77f2f1b70d0c
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/large_strides/row_major_forward_large.json
@@ -0,0 +1,117 @@
+{
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+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/column_major_backward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/column_major_backward.json
new file mode 100644
index 000000000000..845838560302
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/column_major_backward.json
@@ -0,0 +1,60 @@
+{
+  "order": "column-major",
+  "forwrd": false,
+  "M": 3,
+  "N": 2,
+  "X_mat": [
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+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/column_major_forward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/column_major_forward.json
new file mode 100644
index 000000000000..127452daa662
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/column_major_forward.json
@@ -0,0 +1,60 @@
+{
+  "order": "column-major",
+  "forwrd": true,
+  "M": 3,
+  "N": 2,
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+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_backward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_backward.json
new file mode 100644
index 000000000000..f21ecd78e90a
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_backward.json
@@ -0,0 +1,60 @@
+{
+  "order": "row-major",
+  "forwrd": false,
+  "M": 3,
+  "N": 2,
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+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_backward_large.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_backward_large.json
new file mode 100644
index 000000000000..7f3620ce7c59
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_backward_large.json
@@ -0,0 +1,89 @@
+{
+  "order": "row-major",
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+  "M": 4,
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+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_forward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_forward.json
new file mode 100644
index 000000000000..5806865b29da
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_forward.json
@@ -0,0 +1,60 @@
+{
+  "order": "row-major",
+  "forwrd": true,
+  "M": 3,
+  "N": 2,
+  "X_mat": [
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+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_forward_large.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_forward_large.json
new file mode 100644
index 000000000000..1a0819559585
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/mixed_strides/row_major_forward_large.json
@@ -0,0 +1,89 @@
+{
+  "order": "row-major",
+  "forwrd": true,
+  "M": 4,
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+  "X_mat": [
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+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/column_major_backward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/column_major_backward.json
new file mode 100644
index 000000000000..642e1e8972c6
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/column_major_backward.json
@@ -0,0 +1,60 @@
+{
+  "order": "column-major",
+  "forwrd": false,
+  "M": 3,
+  "N": 2,
+  "X_mat": [
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+  "strideX1": -1,
+  "strideX2": -3,
+  "offsetX": 5,
+  "K": [
+    1,
+    0,
+    2
+  ],
+  "strideK": -1,
+  "offsetK": 2,
+  "X_out_mat": [
+    [
+      2,
+      5
+    ],
+    [
+      3,
+      6
+    ],
+    [
+      1,
+      4
+    ]
+  ],
+  "X_out": [
+    4,
+    6,
+    5,
+    1,
+    3,
+    2
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/column_major_forward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/column_major_forward.json
new file mode 100644
index 000000000000..c2716c7ca07a
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/column_major_forward.json
@@ -0,0 +1,60 @@
+{
+  "order": "column-major",
+  "forwrd": true,
+  "M": 3,
+  "N": 2,
+  "X_mat": [
+    [
+      1,
+      4
+    ],
+    [
+      2,
+      5
+    ],
+    [
+      3,
+      6
+    ]
+  ],
+  "X": [
+    6,
+    5,
+    4,
+    3,
+    2,
+    1
+  ],
+  "strideX1": -1,
+  "strideX2": -3,
+  "offsetX": 5,
+  "K": [
+    1,
+    0,
+    2
+  ],
+  "strideK": -1,
+  "offsetK": 2,
+  "X_out_mat": [
+    [
+      3,
+      6
+    ],
+    [
+      1,
+      4
+    ],
+    [
+      2,
+      5
+    ]
+  ],
+  "X_out": [
+    5,
+    4,
+    6,
+    2,
+    1,
+    3
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_backward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_backward.json
new file mode 100644
index 000000000000..5bac6c05c6e3
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_backward.json
@@ -0,0 +1,60 @@
+{
+  "order": "row-major",
+  "forwrd": false,
+  "M": 3,
+  "N": 2,
+  "X_mat": [
+    [
+      1,
+      2
+    ],
+    [
+      3,
+      4
+    ],
+    [
+      5,
+      6
+    ]
+  ],
+  "X": [
+    6,
+    5,
+    4,
+    3,
+    2,
+    1
+  ],
+  "strideX1": -2,
+  "strideX2": -1,
+  "offsetX": 5,
+  "K": [
+    1,
+    0,
+    2
+  ],
+  "strideK": -1,
+  "offsetK": 2,
+  "X_out_mat": [
+    [
+      3,
+      4
+    ],
+    [
+      5,
+      6
+    ],
+    [
+      1,
+      2
+    ]
+  ],
+  "X_out": [
+    2,
+    1,
+    6,
+    5,
+    4,
+    3
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_backward_large.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_backward_large.json
new file mode 100644
index 000000000000..2aa26f463068
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_backward_large.json
@@ -0,0 +1,89 @@
+{
+  "order": "row-major",
+  "forwrd": false,
+  "M": 4,
+  "N": 3,
+  "X_mat": [
+    [
+      1,
+      2,
+      3
+    ],
+    [
+      4,
+      5,
+      6
+    ],
+    [
+      7,
+      8,
+      9
+    ],
+    [
+      10,
+      11,
+      12
+    ]
+  ],
+  "X": [
+    12,
+    11,
+    10,
+    9,
+    8,
+    7,
+    6,
+    5,
+    4,
+    3,
+    2,
+    1
+  ],
+  "strideX1": -3,
+  "strideX2": -1,
+  "offsetX": 11,
+  "K": [
+    2,
+    0,
+    3,
+    1
+  ],
+  "strideK": -1,
+  "offsetK": 3,
+  "X_out_mat": [
+    [
+      7,
+      8,
+      9
+    ],
+    [
+      1,
+      2,
+      3
+    ],
+    [
+      10,
+      11,
+      12
+    ],
+    [
+      4,
+      5,
+      6
+    ]
+  ],
+  "X_out": [
+    6,
+    5,
+    4,
+    12,
+    11,
+    10,
+    3,
+    2,
+    1,
+    9,
+    8,
+    7
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_forward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_forward.json
new file mode 100644
index 000000000000..db187d745366
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_forward.json
@@ -0,0 +1,60 @@
+{
+  "order": "row-major",
+  "forwrd": true,
+  "M": 3,
+  "N": 2,
+  "X_mat": [
+    [
+      1,
+      2
+    ],
+    [
+      3,
+      4
+    ],
+    [
+      5,
+      6
+    ]
+  ],
+  "X": [
+    6,
+    5,
+    4,
+    3,
+    2,
+    1
+  ],
+  "strideX1": -2,
+  "strideX2": -1,
+  "offsetX": 5,
+  "K": [
+    1,
+    0,
+    2
+  ],
+  "strideK": -1,
+  "offsetK": 2,
+  "X_out_mat": [
+    [
+      5,
+      6
+    ],
+    [
+      1,
+      2
+    ],
+    [
+      3,
+      4
+    ]
+  ],
+  "X_out": [
+    4,
+    3,
+    2,
+    1,
+    6,
+    5
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_forward_large.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_forward_large.json
new file mode 100644
index 000000000000..c532d9bcd0c6
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/negative_strides/row_major_forward_large.json
@@ -0,0 +1,89 @@
+{
+  "order": "row-major",
+  "forwrd": true,
+  "M": 4,
+  "N": 3,
+  "X_mat": [
+    [
+      1,
+      2,
+      3
+    ],
+    [
+      4,
+      5,
+      6
+    ],
+    [
+      7,
+      8,
+      9
+    ],
+    [
+      10,
+      11,
+      12
+    ]
+  ],
+  "X": [
+    12,
+    11,
+    10,
+    9,
+    8,
+    7,
+    6,
+    5,
+    4,
+    3,
+    2,
+    1
+  ],
+  "strideX1": -3,
+  "strideX2": -1,
+  "offsetX": 11,
+  "K": [
+    2,
+    0,
+    3,
+    1
+  ],
+  "strideK": -1,
+  "offsetK": 3,
+  "X_out_mat": [
+    [
+      4,
+      5,
+      6
+    ],
+    [
+      10,
+      11,
+      12
+    ],
+    [
+      1,
+      2,
+      3
+    ],
+    [
+      7,
+      8,
+      9
+    ]
+  ],
+  "X_out": [
+    9,
+    8,
+    7,
+    3,
+    2,
+    1,
+    12,
+    11,
+    10,
+    6,
+    5,
+    4
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/column_major_backward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/column_major_backward.json
new file mode 100644
index 000000000000..5be3bea2ca73
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/column_major_backward.json
@@ -0,0 +1,63 @@
+{
+  "order": "column-major",
+  "forwrd": false,
+  "M": 3,
+  "N": 2,
+  "X_mat": [
+    [
+      1,
+      4
+    ],
+    [
+      2,
+      5
+    ],
+    [
+      3,
+      6
+    ]
+  ],
+  "X": [
+    9999,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6
+  ],
+  "strideX1": 1,
+  "strideX2": 3,
+  "offsetX": 1,
+  "K": [
+    9999,
+    2,
+    0,
+    1
+  ],
+  "strideK": 1,
+  "offsetK": 1,
+  "X_out_mat": [
+    [
+      2,
+      5
+    ],
+    [
+      3,
+      6
+    ],
+    [
+      1,
+      4
+    ]
+  ],
+  "X_out": [
+    9999,
+    2,
+    3,
+    1,
+    5,
+    6,
+    4
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/column_major_forward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/column_major_forward.json
new file mode 100644
index 000000000000..03991a5ce35d
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/column_major_forward.json
@@ -0,0 +1,63 @@
+{
+  "order": "column-major",
+  "forwrd": true,
+  "M": 3,
+  "N": 2,
+  "X_mat": [
+    [
+      1,
+      4
+    ],
+    [
+      2,
+      5
+    ],
+    [
+      3,
+      6
+    ]
+  ],
+  "X": [
+    9999,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6
+  ],
+  "strideX1": 1,
+  "strideX2": 3,
+  "offsetX": 1,
+  "K": [
+    9999,
+    2,
+    0,
+    1
+  ],
+  "strideK": 1,
+  "offsetK": 1,
+  "X_out_mat": [
+    [
+      3,
+      6
+    ],
+    [
+      1,
+      4
+    ],
+    [
+      2,
+      5
+    ]
+  ],
+  "X_out": [
+    9999,
+    3,
+    1,
+    2,
+    6,
+    4,
+    5
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_backward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_backward.json
new file mode 100644
index 000000000000..e79acd8917c9
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_backward.json
@@ -0,0 +1,63 @@
+{
+  "order": "row-major",
+  "forwrd": false,
+  "M": 3,
+  "N": 2,
+  "X_mat": [
+    [
+      1,
+      2
+    ],
+    [
+      3,
+      4
+    ],
+    [
+      5,
+      6
+    ]
+  ],
+  "X": [
+    9999,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6
+  ],
+  "strideX1": 2,
+  "strideX2": 1,
+  "offsetX": 1,
+  "K": [
+    9999,
+    2,
+    0,
+    1
+  ],
+  "strideK": 1,
+  "offsetK": 1,
+  "X_out_mat": [
+    [
+      3,
+      4
+    ],
+    [
+      5,
+      6
+    ],
+    [
+      1,
+      2
+    ]
+  ],
+  "X_out": [
+    9999,
+    3,
+    4,
+    5,
+    6,
+    1,
+    2
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_backward_large.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_backward_large.json
new file mode 100644
index 000000000000..ded03b2894db
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_backward_large.json
@@ -0,0 +1,92 @@
+{
+  "order": "row-major",
+  "forwrd": false,
+  "M": 4,
+  "N": 3,
+  "X_mat": [
+    [
+      1,
+      2,
+      3
+    ],
+    [
+      4,
+      5,
+      6
+    ],
+    [
+      7,
+      8,
+      9
+    ],
+    [
+      10,
+      11,
+      12
+    ]
+  ],
+  "X": [
+    9999,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10,
+    11,
+    12
+  ],
+  "strideX1": 3,
+  "strideX2": 1,
+  "offsetX": 1,
+  "K": [
+    9999,
+    1,
+    3,
+    0,
+    2
+  ],
+  "strideK": 1,
+  "offsetK": 1,
+  "X_out_mat": [
+    [
+      7,
+      8,
+      9
+    ],
+    [
+      1,
+      2,
+      3
+    ],
+    [
+      10,
+      11,
+      12
+    ],
+    [
+      4,
+      5,
+      6
+    ]
+  ],
+  "X_out": [
+    9999,
+    7,
+    8,
+    9,
+    1,
+    2,
+    3,
+    10,
+    11,
+    12,
+    4,
+    5,
+    6
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_forward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_forward.json
new file mode 100644
index 000000000000..8d613ce8a07e
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_forward.json
@@ -0,0 +1,63 @@
+{
+  "order": "row-major",
+  "forwrd": true,
+  "M": 3,
+  "N": 2,
+  "X_mat": [
+    [
+      1,
+      2
+    ],
+    [
+      3,
+      4
+    ],
+    [
+      5,
+      6
+    ]
+  ],
+  "X": [
+    9999,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6
+  ],
+  "strideX1": 2,
+  "strideX2": 1,
+  "offsetX": 1,
+  "K": [
+    9999,
+    2,
+    0,
+    1
+  ],
+  "strideK": 1,
+  "offsetK": 1,
+  "X_out_mat": [
+    [
+      5,
+      6
+    ],
+    [
+      1,
+      2
+    ],
+    [
+      3,
+      4
+    ]
+  ],
+  "X_out": [
+    9999,
+    5,
+    6,
+    1,
+    2,
+    3,
+    4
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_forward_large.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_forward_large.json
new file mode 100644
index 000000000000..f22c118f3010
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/offsets/row_major_forward_large.json
@@ -0,0 +1,92 @@
+{
+  "order": "row-major",
+  "forwrd": true,
+  "M": 4,
+  "N": 3,
+  "X_mat": [
+    [
+      1,
+      2,
+      3
+    ],
+    [
+      4,
+      5,
+      6
+    ],
+    [
+      7,
+      8,
+      9
+    ],
+    [
+      10,
+      11,
+      12
+    ]
+  ],
+  "X": [
+    9999,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10,
+    11,
+    12
+  ],
+  "strideX1": 3,
+  "strideX2": 1,
+  "offsetX": 1,
+  "K": [
+    9999,
+    1,
+    3,
+    0,
+    2
+  ],
+  "strideK": 1,
+  "offsetK": 1,
+  "X_out_mat": [
+    [
+      4,
+      5,
+      6
+    ],
+    [
+      10,
+      11,
+      12
+    ],
+    [
+      1,
+      2,
+      3
+    ],
+    [
+      7,
+      8,
+      9
+    ]
+  ],
+  "X_out": [
+    9999,
+    4,
+    5,
+    6,
+    10,
+    11,
+    12,
+    1,
+    2,
+    3,
+    7,
+    8,
+    9
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_backward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_backward.json
new file mode 100644
index 000000000000..2b761177d033
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_backward.json
@@ -0,0 +1,28 @@
+{
+  "order": "row-major",
+  "forwrd": false,
+
+  "M": 3,
+  "N": 2,
+
+  "X_mat": [
+    [ 1.0, 2.0 ],
+    [ 3.0, 4.0 ],
+    [ 5.0, 6.0 ]
+  ],
+  "X": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ],
+  "strideX1": 2,
+  "strideX2": 1,
+  "offsetX": 0,
+
+  "K": [ 2, 0, 1 ],
+  "strideK": 1,
+  "offsetK": 0,
+
+  "X_out_mat": [
+    [ 3.0, 4.0 ],
+    [ 5.0, 6.0 ],
+    [ 1.0, 2.0 ]
+  ],
+  "X_out": [ 3.0, 4.0, 5.0, 6.0, 1.0, 2.0 ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_backward_large.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_backward_large.json
new file mode 100644
index 000000000000..02a075cb2c8a
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_backward_large.json
@@ -0,0 +1,30 @@
+{
+  "order": "row-major",
+  "forwrd": false,
+
+  "M": 4,
+  "N": 3,
+
+  "X_mat": [
+    [ 1.0, 2.0, 3.0 ],
+    [ 4.0, 5.0, 6.0 ],
+    [ 7.0, 8.0, 9.0 ],
+    [ 10.0, 11.0, 12.0 ]
+  ],
+  "X": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ],
+  "strideX1": 3,
+  "strideX2": 1,
+  "offsetX": 0,
+
+  "K": [ 1, 3, 0, 2 ],
+  "strideK": 1,
+  "offsetK": 0,
+
+  "X_out_mat": [
+    [ 7.0, 8.0, 9.0 ],
+    [ 1.0, 2.0, 3.0 ],
+    [ 10.0, 11.0, 12.0 ],
+    [ 4.0, 5.0, 6.0 ]
+  ],
+  "X_out": [ 7.0, 8.0, 9.0, 1.0, 2.0, 3.0, 10.0, 11.0, 12.0, 4.0, 5.0, 6.0 ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_forward.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_forward.json
new file mode 100644
index 000000000000..2f03101b6400
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_forward.json
@@ -0,0 +1,28 @@
+{
+  "order": "row-major",
+  "forwrd": true,
+
+  "M": 3,
+  "N": 2,
+
+  "X_mat": [
+    [ 1.0, 2.0 ],
+    [ 3.0, 4.0 ],
+    [ 5.0, 6.0 ]
+  ],
+  "X": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ],
+  "strideX1": 2,
+  "strideX2": 1,
+  "offsetX": 0,
+
+  "K": [ 2, 0, 1 ],
+  "strideK": 1,
+  "offsetK": 0,
+
+  "X_out_mat": [
+    [ 5.0, 6.0 ],
+    [ 1.0, 2.0 ],
+    [ 3.0, 4.0 ]
+  ],
+  "X_out": [ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_forward_large.json b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_forward_large.json
new file mode 100644
index 000000000000..3c4fa7c33eb4
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/fixtures/row_major_forward_large.json
@@ -0,0 +1,30 @@
+{
+  "order": "row-major",
+  "forwrd": true,
+
+  "M": 4,
+  "N": 3,
+
+  "X_mat": [
+    [ 1.0, 2.0, 3.0 ],
+    [ 4.0, 5.0, 6.0 ],
+    [ 7.0, 8.0, 9.0 ],
+    [ 10.0, 11.0, 12.0 ]
+  ],
+  "X": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ],
+  "strideX1": 3,
+  "strideX2": 1,
+  "offsetX": 0,
+
+  "K": [ 1, 3, 0, 2 ],
+  "strideK": 1,
+  "offsetK": 0,
+
+  "X_out_mat": [
+    [ 4.0, 5.0, 6.0 ],
+    [ 10.0, 11.0, 12.0 ],
+    [ 1.0, 2.0, 3.0 ],
+    [ 7.0, 8.0, 9.0 ]
+  ],
+  "X_out": [ 4.0, 5.0, 6.0, 10.0, 11.0, 12.0, 1.0, 2.0, 3.0, 7.0, 8.0, 9.0 ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.dlapmr.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.dlapmr.js
new file mode 100644
index 000000000000..d8b21de4fbc9
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.dlapmr.js
@@ -0,0 +1,308 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var dlapmr = require( './../lib/dlapmr.js' );
+
+
+// FIXTURES //
+
+var ROW_MAJOR_FWD = require( './fixtures/row_major_forward.json' );
+var ROW_MAJOR_BWD = require( './fixtures/row_major_backward.json' );
+var ROW_MAJOR_FWD_LARGE = require( './fixtures/row_major_forward_large.json' );
+var ROW_MAJOR_BWD_LARGE = require( './fixtures/row_major_backward_large.json' );
+var COL_MAJOR_FWD = require( './fixtures/column_major_forward.json' );
+var COL_MAJOR_BWD = require( './fixtures/column_major_backward.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dlapmr, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 8', function test( t ) {
+	t.strictEqual( dlapmr.length, 8, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not a valid order', function test( t ) {
+	var values;
+	var K;
+	var X;
+	var i;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	K = new Int32Array( [ 2, 0, 1 ] );
+
+	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() {
+			dlapmr( value, true, 3, 2, X, 2, K, 1 );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an invalid sixth argument (row-major)', function test( t ) {
+	var values;
+	var K;
+	var X;
+	var i;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	K = new Int32Array( [ 2, 0, 1 ] );
+
+	values = [
+		0,
+		1
+	];
+
+	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() {
+			dlapmr( 'row-major', true, 3, 2, X, value, K, 1 );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided a stride of zero for K', function test( t ) {
+	var K;
+	var X;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	K = new Int32Array( [ 2, 0, 1 ] );
+
+	t.throws( badValue, RangeError, 'throws an error when strideK is 0' );
+	t.end();
+
+	function badValue() {
+		dlapmr( 'row-major', true, 3, 2, X, 2, K, 0 );
+	}
+});
+
+tape( 'the function returns the matrix unchanged when M is 0', function test( t ) {
+	var expected;
+	var out;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	K = new Int32Array( 0 );
+	expected = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+
+	out = dlapmr( 'row-major', true, 0, 3, X, 3, K, 1 );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the matrix unchanged when M is 1', function test( t ) {
+	var expected;
+	var out;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	K = new Int32Array( [ 0 ] );
+	expected = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+
+	out = dlapmr( 'row-major', true, 1, 3, X, 3, K, 1 );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a forward permutation (row-major)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_FWD;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.order, data.forwrd, data.M, data.N, X, data.strideX1, K, data.strideK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a backward permutation (row-major)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_BWD;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.order, data.forwrd, data.M, data.N, X, data.strideX1, K, data.strideK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a forward permutation (row-major, larger matrix)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_FWD_LARGE;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.order, data.forwrd, data.M, data.N, X, data.strideX1, K, data.strideK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a backward permutation (row-major, larger matrix)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_BWD_LARGE;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.order, data.forwrd, data.M, data.N, X, data.strideX1, K, data.strideK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a forward permutation (column-major)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = COL_MAJOR_FWD;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.order, data.forwrd, data.M, data.N, X, data.strideX2, K, data.strideK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a backward permutation (column-major)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = COL_MAJOR_BWD;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.order, data.forwrd, data.M, data.N, X, data.strideX2, K, data.strideK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function handles identity permutation (row-major)', function test( t ) {
+	var expected;
+	var out;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	K = new Int32Array( [ 0, 1, 2 ] );
+	expected = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+	out = dlapmr( 'row-major', true, 3, 2, X, 2, K, 1 );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function restores the permutation vector K after execution (forward)', function test( t ) {
+	var expectedK;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	K = new Int32Array( [ 2, 0, 1 ] );
+	expectedK = new Int32Array( [ 2, 0, 1 ] );
+
+	dlapmr( 'row-major', true, 3, 2, X, 2, K, 1 );
+	t.deepEqual( K, expectedK, 'K is restored to original values' );
+	t.end();
+});
+
+tape( 'the function restores the permutation vector K after execution (backward)', function test( t ) {
+	var expectedK;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	K = new Int32Array( [ 2, 0, 1 ] );
+	expectedK = new Int32Array( [ 2, 0, 1 ] );
+
+	dlapmr( 'row-major', false, 3, 2, X, 2, K, 1 );
+	t.deepEqual( K, expectedK, 'K is restored to original values' );
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.js
new file mode 100644
index 000000000000..5781d0058751
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.js
@@ -0,0 +1,92 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var dlapmr = 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 dlapmr, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 8', function test( t ) {
+	t.strictEqual( dlapmr.length, 8, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function has an `ndarray` method', function test( t ) {
+	t.strictEqual( typeof dlapmr.ndarray, 'function', 'has method' );
+	t.end();
+});
+
+tape( 'the `ndarray` method has an arity of 10', function test( t ) {
+	t.strictEqual( dlapmr.ndarray.length, 10, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+	var dlapmr = proxyquire( './../lib', {
+		'@stdlib/utils/try-require': tryRequire
+	});
+
+	t.strictEqual( dlapmr, 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 dlapmr;
+	var main;
+
+	main = require( './../lib/main.js' );
+
+	dlapmr = proxyquire( './../lib', {
+		'@stdlib/utils/try-require': tryRequire
+	});
+
+	t.strictEqual( dlapmr, main, 'returns expected value' );
+	t.end();
+
+	function tryRequire() {
+		return new Error( 'Cannot find module' );
+	}
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.ndarray.js
new file mode 100644
index 000000000000..a266ab619581
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlapmr/test/test.ndarray.js
@@ -0,0 +1,474 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var dlapmr = require( './../lib/ndarray.js' );
+
+
+// FIXTURES //
+
+var ROW_MAJOR_FWD = require( './fixtures/row_major_forward.json' );
+var ROW_MAJOR_BWD = require( './fixtures/row_major_backward.json' );
+var ROW_MAJOR_FWD_LARGE = require( './fixtures/row_major_forward_large.json' );
+var ROW_MAJOR_BWD_LARGE = require( './fixtures/row_major_backward_large.json' );
+var COL_MAJOR_FWD = require( './fixtures/column_major_forward.json' );
+var COL_MAJOR_BWD = require( './fixtures/column_major_backward.json' );
+var ROW_MAJOR_FWD_OFFSETS = require( './fixtures/offsets/row_major_forward.json' );
+var ROW_MAJOR_BWD_OFFSETS = require( './fixtures/offsets/row_major_backward.json' );
+var COL_MAJOR_FWD_OFFSETS = require( './fixtures/offsets/column_major_forward.json' );
+var ROW_MAJOR_FWD_LARGE_STRIDES = require( './fixtures/large_strides/row_major_forward.json' );
+var ROW_MAJOR_BWD_LARGE_STRIDES = require( './fixtures/large_strides/row_major_backward.json' );
+var COL_MAJOR_FWD_LARGE_STRIDES = require( './fixtures/large_strides/column_major_forward.json' );
+var ROW_MAJOR_FWD_NEG_STRIDES = require( './fixtures/negative_strides/row_major_forward.json' );
+var ROW_MAJOR_BWD_NEG_STRIDES = require( './fixtures/negative_strides/row_major_backward.json' );
+var COL_MAJOR_FWD_NEG_STRIDES = require( './fixtures/negative_strides/column_major_forward.json' );
+var ROW_MAJOR_FWD_MIXED = require( './fixtures/mixed_strides/row_major_forward.json' );
+var ROW_MAJOR_BWD_MIXED = require( './fixtures/mixed_strides/row_major_backward.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dlapmr, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 10', function test( t ) {
+	t.strictEqual( dlapmr.length, 10, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the matrix unchanged when M is 0', function test( t ) {
+	var expected;
+	var out;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	K = new Int32Array( 0 );
+	expected = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+
+	out = dlapmr( true, 0, 3, X, 3, 1, 0, K, 1, 0 );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the matrix unchanged when M is 1', function test( t ) {
+	var expected;
+	var out;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	K = new Int32Array( [ 0 ] );
+	expected = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+
+	out = dlapmr( true, 1, 3, X, 3, 1, 0, K, 1, 0 );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a forward permutation (row-major)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_FWD;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a backward permutation (row-major)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_BWD;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a forward permutation (row-major, larger matrix)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_FWD_LARGE;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a backward permutation (row-major, larger matrix)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_BWD_LARGE;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a forward permutation (column-major)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = COL_MAJOR_FWD;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function applies a backward permutation (column-major)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = COL_MAJOR_BWD;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports an `X` offset (row-major, forward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_FWD_OFFSETS;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports an `X` offset (row-major, backward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_BWD_OFFSETS;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports an `X` offset (column-major, forward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = COL_MAJOR_FWD_OFFSETS;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports large strides (row-major, forward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_FWD_LARGE_STRIDES;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports large strides (row-major, backward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_BWD_LARGE_STRIDES;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports large strides (column-major, forward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = COL_MAJOR_FWD_LARGE_STRIDES;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports negative strides (row-major, forward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_FWD_NEG_STRIDES;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports negative strides (row-major, backward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_BWD_NEG_STRIDES;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports negative strides (column-major, forward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = COL_MAJOR_FWD_NEG_STRIDES;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports mixed strides (row-major, forward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_FWD_MIXED;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports mixed strides (row-major, backward)', function test( t ) {
+	var expected;
+	var data;
+	var out;
+	var X;
+	var K;
+
+	data = ROW_MAJOR_BWD_MIXED;
+
+	X = new Float64Array( data.X );
+	K = new Int32Array( data.K );
+	expected = new Float64Array( data.X_out );
+
+	out = dlapmr( data.forwrd, data.M, data.N, X, data.strideX1, data.strideX2, data.offsetX, K, data.strideK, data.offsetK );
+	t.strictEqual( out, X, 'returns expected value' );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function handles identity permutation', function test( t ) {
+	var expected;
+	var out;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	K = new Int32Array( [ 0, 1, 2 ] );
+	expected = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+	out = dlapmr( true, 3, 2, X, 2, 1, 0, K, 1, 0 );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function handles a simple swap permutation', function test( t ) {
+	var expected;
+	var out;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	K = new Int32Array( [ 1, 0 ] );
+	expected = new Float64Array( [ 4.0, 5.0, 6.0, 1.0, 2.0, 3.0 ] );
+
+	out = dlapmr( true, 2, 3, X, 3, 1, 0, K, 1, 0 );
+	t.deepEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function restores the permutation vector K after execution (forward)', function test( t ) {
+	var expectedK;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	K = new Int32Array( [ 2, 0, 1 ] );
+	expectedK = new Int32Array( [ 2, 0, 1 ] );
+
+	dlapmr( true, 3, 2, X, 2, 1, 0, K, 1, 0 );
+	t.deepEqual( K, expectedK, 'K is restored to original values' );
+	t.end();
+});
+
+tape( 'the function restores the permutation vector K after execution (backward)', function test( t ) {
+	var expectedK;
+	var X;
+	var K;
+
+	X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	K = new Int32Array( [ 2, 0, 1 ] );
+	expectedK = new Int32Array( [ 2, 0, 1 ] );
+
+	dlapmr( false, 3, 2, X, 2, 1, 0, K, 1, 0 );
+	t.deepEqual( K, expectedK, 'K is restored to original values' );
+	t.end();
+});