diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/README.md b/lib/node_modules/@stdlib/lapack/base/dlascl/README.md
new file mode 100644
index 000000000000..f791296b575e
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/README.md
@@ -0,0 +1,249 @@
+
+
+# dlascl
+
+> LAPACK routine to multiply a real M by N matrix `A` by a real scalar `CTO/CFROM`.
+
+
+
+## Usage
+
+```javascript
+var dlascl = require( '@stdlib/lapack/base/dlascl' );
+```
+
+#### dlascl( order, type, KL, KU, CFROM, CTO, M, N, A, LDA )
+
+Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM`.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = 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 ] ]
+
+dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 );
+// A => [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+```
+
+The function has the following parameters:
+
+- **order**: storage layout.
+- **type**: specifies the type of matrix `A` ( should be one of these: `general`, `upper`, `lower`, `upper-hessenberg`, `symmetric-banded-lower`, `symmetric-banded-upper` or `banded` ).
+- **KL**: lower band width of `A`. Referenced only if type is `symmetric-banded-lower` or `banded`.
+- **KU**: upper band width of `A`. Referenced only if type is `symmetric-banded-upper` or `banded`.
+- **CFROM**: the matrix `A` is multiplied by `CTO / CFROM`.
+- **CTO**: the matrix `A` is multiplied by `CTO / CFROM`.
+- **M**: number of rows in matrix `A`.
+- **N**: number of columns in matrix `A`.
+- **A**: input [`Float64Array`][mdn-float64array].
+- **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+
+If `type` is `banded`, `symmetric-banded-lower` or `symmetric-banded-upper` the matrix should be stored in the [`Band storage`][lapack-band-storage] format.
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Initial arrays...
+var A0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+// Create offset views...
+var A1 = new Float64Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A1, 2 );
+// A0 => [ 0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+```
+
+#### dlascl.ndarray( type, KL, KU, CFROM, CTO, M, N, A, strideA1, strideA2, offsetA )
+
+Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM` using alternative indexing semantics.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = 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 ] ]
+
+dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2, 1, 0 );
+// A => [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+```
+
+The function has the following additional parameters:
+
+- **type**: specifies the type of matrix `A` ( should be one of these: `general`, `upper`, `lower`, `upper-hessenberg`, `symmetric-banded-lower`, `symmetric-banded-upper` or `banded` ).
+- **KL**: lower band width of `A`. Referenced only if type is `symmetric-banded-lower` or `banded`.
+- **KU**: upper band width of `A`. Referenced only if type is `symmetric-banded-upper` or `banded`.
+- **CFROM**: the matrix `A` is multiplied by `CTO / CFROM`.
+- **CTO**: the matrix `A` is multiplied by `CTO / CFROM`.
+- **M**: number of rows in matrix `A`.
+- **N**: number of columns in matrix `A`.
+- **A**: input [`Float64Array`][mdn-float64array].
+- **strideA1**: stride of the first dimension of `A`.
+- **strideA2**: stride of the second dimension of `A`.
+- **offsetA**: starting index for `A`.
+
+If `type` is `banded`, `symmetric-banded-lower` or `symmetric-banded-upper` the matrix should be stored in the [`Band storage`][lapack-band-storage] format.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2, 1, 1 );
+// A => [ 0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- `dlascl()` corresponds to the [LAPACK][lapack] routine [`dlascl`][lapack-dlascl].
+- If `type` is `banded`, `symmetric-banded-lower` or `symmetric-banded-upper` the matrix should be stored in the [`Band storage`][lapack-band-storage] format.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var dlascl = require( '@stdlib/lapack/base/dlascl' );
+
+// Define a matrix A (3x2 in row-major order):
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+console.log( 'Initial A (row-major): ', A );
+
+dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 );
+console.log( 'Scaled A (row-major): ', A );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+TODO
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[lapack]: https://www.netlib.org/lapack/explore-html/
+
+[lapack-dlascl]: https://www.netlib.org/lapack/explore-html-3.6.1/d7/d43/group__aux_o_t_h_e_rauxiliary_ga7bce4c35ec5a86ee0bfdd15c476d99c8.html
+
+[lapack-band-storage]: https://www.netlib.org/lapack/lug/node124.html
+
+[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+
+
+
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/benchmark/benchmark.js b/lib/node_modules/@stdlib/lapack/base/dlascl/benchmark/benchmark.js
new file mode 100644
index 000000000000..83204efdac05
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/benchmark/benchmark.js
@@ -0,0 +1,117 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var dlascl = require( './../lib/dlascl.js' );
+
+
+// VARIABLES //
+
+var LAYOUTS = [
+ 'row-major',
+ 'column-major'
+];
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {string} order - storage layout
+* @param {PositiveInteger} N - number of rows/columns
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, N ) {
+ var LDA;
+ var A;
+
+ LDA = N;
+
+ A = 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 = dlascl( order, 'general', 0, 0, 1.0, 2.0, N, N, A, LDA );
+ 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( pkg+'::square_matrix:order='+ord+',size='+(N*N), f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlascl/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..c73ffd067621
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/benchmark/benchmark.ndarray.js
@@ -0,0 +1,124 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var 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 pkg = require( './../package.json' ).name;
+var dlascl = 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 rows/columns
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, N ) {
+ var sa1;
+ var sa2;
+ var A;
+
+ if ( isColumnMajor( order ) ) {
+ sa1 = 1;
+ sa2 = N;
+ } else { // order === 'row-major'
+ sa1 = N;
+ sa2 = 1;
+ }
+ A = 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 = dlascl( 'general', 0, 0, 1.0, 2.0, N, N, A, sa1, sa2, 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( pkg+'::square_matrix:ndarray:order='+ord+',size='+(N*N), f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/dlascl/docs/repl.txt
new file mode 100644
index 000000000000..3d3cf98d8244
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/docs/repl.txt
@@ -0,0 +1,112 @@
+{{alias}}( order, type, KL, KU, CFROM, CTO, M, N, A, LDA )
+ Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM`.
+
+ Indexing is relative to the first index. To introduce an offset, use
+ typed array views.
+
+ Parameters
+ ----------
+ order: string
+ Row-major (C-style) or column-major (Fortran-style) order. Must be
+ either 'row-major' or 'column-major'.
+
+ type: string
+ Specifies the type of matrix `A`.
+
+ KL: nonNegativeInteger
+ Lower band width of `A`. Referenced only if type is
+ `symmetric-banded-lower` or `banded`.
+
+ KU: nonNegativeInteger
+ Upper band width of `A`. Referenced only if type is
+ `symmetric-banded-upper` or `banded`.
+
+ CFROM: number
+ The matrix `A` are multiplied by `CTO / CFROM`.
+
+ CTO: number
+ The matrix `A` are multiplied by `CTO / CFROM`.
+
+ M: nonNegativeInteger
+ Number of rows in matrix `A`.
+
+ N: nonNegativeInteger
+ Number of columns in matrix `A`.
+
+ A: Float64Array
+ Input matrix `A`.
+
+ LDA: positiveInteger
+ Stride of the first dimension of `A` (a.k.a., leading dimension of
+ the matrix `A`).
+
+ Returns
+ -------
+ A: Float64Array
+ Scaled matrix `A`.
+
+ Examples
+ --------
+ > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ > {{alias}}( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 )
+ [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+
+
+{{alias}}.ndarray( type, KL, KU, CFROM, CTO, M, N, A, sa1, sa2, oa )
+ Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM` 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
+ ----------
+ type: string
+ Specifies the type of matrix `A`.
+
+ KL: nonNegativeInteger
+ Lower band width of `A`. Referenced only if type is
+ `symmetric-banded-lower` or `banded`.
+
+ KU: nonNegativeInteger
+ Upper band width of `A`. Referenced only if type is
+ `symmetric-banded-upper` or `banded`.
+
+ CFROM: number
+ The matrix `A` are multiplied by `CTO / CFROM`.
+
+ CTO: number
+ The matrix `A` are multiplied by `CTO / CFROM`.
+
+ M: nonNegativeInteger
+ Number of rows in matrix `A`.
+
+ N: nonNegativeInteger
+ Number of columns in matrix `A`.
+
+ A: Float64Array
+ Input matrix `A`.
+
+ sa1: integer
+ Stride of the first dimension of `A`.
+
+ sa2: integer
+ Stride of the second dimension of `A`.
+
+ oa: nonNegativeInteger
+ Starting index for `A`.
+
+ Returns
+ -------
+ A: Float64Array
+ Scaled matrix `A`.
+
+ Examples
+ --------
+ > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ > {{alias}}.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2, 1, 0 )
+ [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dlascl/docs/types/index.d.ts
new file mode 100644
index 000000000000..2da272ea1bcc
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/docs/types/index.d.ts
@@ -0,0 +1,117 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { Layout } from '@stdlib/types/blas';
+
+/**
+* Interface describing `dlascl`.
+*/
+interface Routine {
+ /**
+ * Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM`.
+ *
+ * @param order - storage layout
+ * @param type - specifies the type of matrix `A`
+ * @param KL - lower band width of `A`. Referenced only if type is `symmetric-banded-lower` or `banded`.
+ * @param KU - upper band width of `A`. Referenced only if type is `symmetric-banded-upper` or `banded`.
+ * @param CFROM - the matrix `A` is multiplied by `CTO / CFROM`
+ * @param CTO - the matrix `A` is multiplied by `CTO / CFROM`
+ * @param M - number of rows in matrix `A`
+ * @param N - number of columns in matrix `A`
+ * @param A - input matrix
+ * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+ * @returns scaled matrix `A`
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var A = 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 ] ]
+ *
+ * dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 );
+ * // A => [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+ */
+ ( order: Layout, type: string, KL: number, KU: number, CFROM: number, CTO: number, M: number, N: number, A: Float64Array, LDA: number ): Float64Array;
+
+ /**
+ * Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM` using alternative indexing semantics.
+ *
+ * @param type - specifies the type of matrix `A`
+ * @param KL - lower band width of `A`. Referenced only if type is `symmetric-banded-lower` or `banded`.
+ * @param KU - upper band width of `A`. Referenced only if type is `symmetric-banded-upper` or `banded`.
+ * @param CFROM - the matrix `A` is multiplied by `CTO / CFROM`
+ * @param CTO - the matrix `A` is multiplied by `CTO / CFROM`
+ * @param M - number of rows in matrix `A`
+ * @param N - number of columns in matrix `A`
+ * @param A - input matrix
+ * @param strideA1 - stride of the first dimension of `A`
+ * @param strideA2 - stride of the second dimension of `A`
+ * @param offsetA - starting index for `A`
+ * @returns scaled matrix `A`
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var A = 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 ] ]
+ *
+ * dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2, 1, 0 );
+ * // A => [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+ */
+ ndarray( type: string, KL: number, KU: number, CFROM: number, CTO: number, M: number, N: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number ): Float64Array;
+}
+
+/**
+* Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM`.
+*
+* @param order - storage layout
+* @param type - specifies the type of matrix `A`
+* @param KL - lower band width of `A`. Referenced only if type is `symmetric-banded-lower` or `banded`.
+* @param KU - upper band width of `A`. Referenced only if type is `symmetric-banded-upper` or `banded`.
+* @param CFROM - the matrix `A` is multiplied by `CTO / CFROM`
+* @param CTO - the matrix `A` is multiplied by `CTO / CFROM`
+* @param M - number of rows in matrix `A`
+* @param N - number of columns in matrix `A`
+* @param A - input matrix
+* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @returns scaled matrix `A`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = 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 ] ]
+*
+* dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 );
+* // A => [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = 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 ] ]
+*
+* dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2, 1, 0 );
+* // A => [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+*/
+declare var dlascl: Routine;
+
+
+// EXPORTS //
+
+export = dlascl;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/docs/types/test.ts b/lib/node_modules/@stdlib/lapack/base/dlascl/docs/types/test.ts
new file mode 100644
index 000000000000..87d4bc1d597c
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/docs/types/test.ts
@@ -0,0 +1,363 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import dlascl = require( './index' );
+
+
+// TESTS //
+
+// The function returns a Float64Array...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl( 5, 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( true, 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( false, 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( null, 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( void 0, 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( [], 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( {}, 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( ( x: number ): number => x, 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a string...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl( 'row-major', 5, 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', true, 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', false, 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', null, 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', void 0, 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', [], 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', {}, 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', ( x: number ): number => x, 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl( 'row-major', 'general', '5', 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', true, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', false, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', null, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', void 0, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', [], 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', {}, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', ( x: number ): number => x, 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl( 'row-major', 'general', 0, '5', 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, true, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, false, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, null, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, void 0, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, [], 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, {}, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, ( x: number ): number => x, 1.0, 2.0, 3, 2, A, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl( 'row-major', 'general', 0, 0, '5', 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, true, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, false, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, null, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, void 0, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, [], 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, {}, 2.0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, ( x: number ): number => x, 2.0, 3, 2, A, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl( 'row-major', 'general', 0, 0, 1.0, '5', 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, true, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, false, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, null, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, void 0, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, [], 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, {}, 3, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, ( x: number ): number => x, 3, 2, A, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, '3', 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, true, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, false, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, null, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, void 0, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, [], 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, {}, 2, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, ( x: number ): number => x, 2, A, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, '2', A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, true, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, false, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, null, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, void 0, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, [], A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, {}, A, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, ( x: number ): number => x, A, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a ninth argument which is not a Float64Array...
+{
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, 'A', 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, 5, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, true, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, false, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, null, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, void 0, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, [], 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, {}, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, ( x: number ): number => x, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a tenth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, '2' ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, true ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, false ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, null ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, void 0 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, [] ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, {} ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl(); // $ExpectError
+ dlascl( 'row-major' ); // $ExpectError
+ dlascl( 'row-major', 'general' ); // $ExpectError
+ dlascl( 'row-major', 'general', 0 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2 ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A ); // $ExpectError
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a Float64Array...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the `ndarray` method is provided a first argument which is not a string...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 5, 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( true, 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( false, 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( null, 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( void 0, 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( [], 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( {}, 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( ( x: number ): number => x, 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a second argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 'general', '0', 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', true, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', false, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', null, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', void 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', [], 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', {}, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', ( x: number ): number => x, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a third argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 'general', 0, '0', 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, true, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, false, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, null, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, void 0, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, [], 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, {}, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, ( x: number ): number => x, 1.0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 'general', 0, 0, '1.0', 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, true, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, false, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, null, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, void 0, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, [], 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, {}, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, ( x: number ): number => x, 2.0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fifth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 'general', 0, 0, 1.0, '2.0', 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, true, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, false, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, null, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, void 0, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, [], 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, {}, 3, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, ( x: number ): number => x, 3, 2, A, 1, 0, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a sixth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, '3', 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, true, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, false, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, null, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, void 0, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, [], 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, {}, 2, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, ( x: number ): number => x, 2, A, 1, 0, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a seventh argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, '2', A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, true, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, false, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, null, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, void 0, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, [], A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, {}, A, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, ( x: number ): number => x, A, 1, 0, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eighth argument which is not a Float64Array...
+{
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, 'A', 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, 5, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, true, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, false, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, null, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, void 0, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, [], 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, {}, 1, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, ( x: number ): number => x, 1, 0, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a ninth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, '1', 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, true, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, false, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, null, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, void 0, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, [], 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, {}, 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, ( x: number ): number => x, 0, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a tenth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, '0', 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, true, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, false, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, null, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, void 0, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, [], 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, {}, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, ( x: number ): number => x, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eleventh argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, '2' ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, true ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, false ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, null ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, void 0 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, [] ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, {} ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const A = new Float64Array( 6 );
+
+ dlascl.ndarray(); // $ExpectError
+ dlascl.ndarray( 'general' ); // $ExpectError
+ dlascl.ndarray( 'general', 0 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0 ); // $ExpectError
+ dlascl.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 1, 0, 2, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/examples/index.js b/lib/node_modules/@stdlib/lapack/base/dlascl/examples/index.js
new file mode 100644
index 000000000000..418b447a1e8f
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/examples/index.js
@@ -0,0 +1,29 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var dlascl = require( './../lib' );
+
+// Define a matrix A (3x2 in row-major order):
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+console.log( 'Initial A (row-major): ', A );
+
+dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 );
+console.log( 'Scaled A (row-major): ', A );
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlascl/lib/base.js
new file mode 100644
index 000000000000..e231741a119a
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/lib/base.js
@@ -0,0 +1,277 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-statements, max-len */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var dlamch = require( '@stdlib/lapack/base/dlamch' );
+var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var max = require( '@stdlib/math/base/special/fast/max' );
+var min = require( '@stdlib/math/base/special/fast/min' );
+
+
+// VARIABLES //
+
+var smlnum = dlamch( 'safe minimum' );
+var bignum = 1.0 / smlnum;
+
+
+// MAIN //
+
+/**
+* Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM`.
+*
+* @private
+* @param {string} type - specifies the type of matrix `A`
+* @param {NonNegativeInteger} KL - lower band width of `A`. Referenced only if type is `symmetric-banded-lower` or `banded`.
+* @param {NonNegativeInteger} KU - upper band width of `A`. Referenced only if type is `symmetric-banded-upper` or `banded`.
+* @param {number} CFROM - the matrix `A` is multiplied by `CTO / CFROM`
+* @param {number} CTO - the matrix `A` is multiplied by `CTO / CFROM`
+* @param {NonNegativeInteger} M - number of rows in matrix `A`
+* @param {NonNegativeInteger} N - number of columns in matrix `A`
+* @param {Float64Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @returns {Float64Array} scaled matrix `A`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = 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 ] ]
+*
+* dlascl( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2, 1, 0 );
+* // A => [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+*/
+function dlascl( type, KL, KU, CFROM, CTO, M, N, A, strideA1, strideA2, offsetA ) { // eslint-disable-line max-params
+ var cfromc;
+ var cfrom1;
+ var ctoc;
+ var cto1;
+ var done;
+ var mul;
+ var da1;
+ var da0;
+ var S1;
+ var S0;
+ var ia;
+ var i0;
+ var i1;
+ var k3;
+ var k4;
+ var k1;
+ var k2;
+ var sh;
+ var sa;
+ var o;
+
+ if ( N === 0 || M === 0 ) {
+ return A;
+ }
+
+ done = false;
+
+ cfromc = CFROM;
+ ctoc = CTO;
+
+ while ( !done ) {
+ cfrom1 = CTO * smlnum;
+ if ( cfrom1 === cfromc ) {
+ // cfromc is Infinity, multiply by a correctly signed zero for finite ctoc or NaN
+ mul = ctoc / cfromc;
+ done = true;
+ cto1 = ctoc;
+ } else {
+ cto1 = ctoc / bignum;
+ if ( cto1 === ctoc ) {
+ // ctoc is either zero or Infinity, thus ctoc itself is a correct multiplication factor
+ mul = ctoc;
+ done = true;
+ cfromc = 1.0;
+ } else if ( abs( cfrom1 ) > abs( ctoc ) && ctoc !== 0.0 ) {
+ mul = smlnum;
+ done = false;
+ ctoc = cto1;
+ } else if ( abs( cto1 ) > abs( cfromc ) ) {
+ mul = bignum;
+ done = false;
+ ctoc = cto1;
+ } else {
+ mul = ctoc / cfromc;
+ done = true;
+ }
+ }
+
+ if ( type === 'general' ) {
+ // Full matrix
+
+ // Resolve the loop interchange order:
+ o = loopOrder( [ M, N ], [ strideA1, strideA2 ] );
+ sh = o.sh;
+ sa = o.sx;
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ da0 = sa[ 0 ];
+ da1 = sa[ 1 ] - ( S0*sa[0] );
+
+ // Set the pointers to the first indexed elements in the respective matrices...
+ ia = offsetA;
+
+ // Iterate over the matrix dimensions...
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ A[ ia ] *= mul;
+ ia += da0;
+ }
+ ia += da1;
+ }
+ }
+
+ if ( type === 'upper' ) {
+ // Upper triangular matrix
+ ia = offsetA;
+ if ( isRowMajor( [ strideA1, strideA2 ] ) ) {
+ for ( i1 = 0; i1 < M; i1++ ) {
+ for ( i0 = i1; i0 < N; i0++ ) {
+ A[ ia+(i0*strideA2) ] *= mul;
+ }
+ ia += strideA1;
+ }
+ } else {
+ for ( i1 = 0; i1 < N; i1++ ) {
+ for ( i0 = 0; i0 <= min( i1, M-1 ); i0++ ) {
+ A[ ia+(i0*strideA1) ] *= mul;
+ }
+ ia += strideA2;
+ }
+ }
+ }
+
+ if ( type === 'lower' ) {
+ // Lower triangular matrix
+ ia = offsetA;
+ if ( isRowMajor( [ strideA1, strideA2 ] ) ) {
+ for ( i1 = 0; i1 < M; i1++ ) {
+ for ( i0 = 0; i0 <= min( i1, N-1 ); i0++ ) {
+ A[ ia+(i0*strideA2) ] *= mul;
+ }
+ ia += strideA1;
+ }
+ } else {
+ for ( i1 = 0; i1 < N; i1++ ) {
+ for ( i0 = i1; i0 < M; i0++ ) {
+ A[ ia+(i0*strideA1) ] *= mul;
+ }
+ ia += strideA2;
+ }
+ }
+ }
+
+ if ( type === 'upper-hessenberg' ) {
+ if ( isRowMajor( [ strideA1, strideA2 ] ) ) {
+ ia = offsetA;
+ for ( i1 = 0; i1 < M; i1++ ) {
+ for ( i0 = 0; i0 <= min( i1+1, N-1 ); i0++ ) {
+ A[ ia+(i0*strideA2) ] *= mul;
+ }
+ ia += strideA1;
+ }
+ } else {
+ ia = offsetA;
+ for ( i0 = 0; i0 < N; i0++ ) {
+ for ( i1 = 0; i1 <= min( i0+1, M-1 ); i1++ ) {
+ A[ ia+(i1*strideA1) ] *= mul;
+ }
+ ia += strideA2;
+ }
+ }
+ }
+
+ if ( type === 'symmetric-banded-lower' ) {
+ if ( isRowMajor( [ strideA1, strideA2 ] ) ) {
+ ia = offsetA;
+ k3 = KL + 1;
+ k4 = N;
+ for ( i1 = 0; i1 < M; i1++ ) {
+ for ( i0 = max( 0, i1 - KL ); i0 < min( k4, i1 + 1 ); i0++ ) {
+ A[ ia+( ( i1-i0 ) * strideA2) ] *= mul;
+ }
+ ia += strideA1;
+ }
+ } else {
+ ia = offsetA;
+ for ( i1 = 0; i1 < N; i1++ ) {
+ for ( i0 = 0; i0 < min( k3, k4 - i1 ); i0++ ) {
+ A[ ia+(i0*strideA1) ] *= mul;
+ }
+ ia += strideA2;
+ }
+ }
+ }
+
+ if ( type === 'symmetric-banded-upper' ) {
+ k1 = KU + 1;
+ ia = offsetA;
+
+ if ( isRowMajor( [ strideA1, strideA2 ] ) ) {
+ for ( i1 = 0; i1 < M; i1++ ) {
+ for ( i0 = i1; i0 < min( N, i1 + k1 ); i0++ ) {
+ A[ ia + ( (i0-i1) * strideA2) ] *= mul;
+ }
+ ia += strideA1;
+ }
+ } else {
+ for ( i1 = 0; i1 < N; i1++ ) {
+ for ( i0 = max( k1 - i1, 0 ); i0 < k1; i0++ ) {
+ A[ ia+(i0*strideA1) ] *= mul;
+ }
+ ia += strideA2;
+ }
+ }
+ }
+
+ if ( type === 'banded' ) {
+ k1 = KL + KU;
+ k2 = KL;
+ k3 = ( 2 * KL ) + KU;
+ k4 = KL + KU + M - 1;
+ ia = offsetA;
+
+ for ( i1 = 0; i1 < N; i1++ ) {
+ for ( i0 = max( k1 - i1, k2 ); i0 <= min( k3, k4-i1 ); i0++ ) {
+ A[ ia+(i0*strideA1) ] *= mul;
+ }
+ ia += strideA2;
+ }
+ }
+ }
+
+ return A;
+}
+
+
+// EXPORTS //
+
+module.exports = dlascl;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/lib/dlascl.js b/lib/node_modules/@stdlib/lapack/base/dlascl/lib/dlascl.js
new file mode 100644
index 000000000000..4a1154a3440e
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/lib/dlascl.js
@@ -0,0 +1,101 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major-string' );
+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 //
+
+/**
+* Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM`.
+*
+* @param {string} order - storage layout
+* @param {string} type - specifies the type of matrix `A`
+* @param {NonNegativeInteger} KL - lower band width of `A`. Referenced only if type is `symmetric-banded-lower` or `banded`.
+* @param {NonNegativeInteger} KU - upper band width of `A`. Referenced only if type is `symmetric-banded-upper` or `banded`.
+* @param {number} CFROM - the matrix `A` is multiplied by `CTO / CFROM`
+* @param {number} CTO - the matrix `A` is multiplied by `CTO / CFROM`
+* @param {NonNegativeInteger} M - number of rows in matrix `A`
+* @param {NonNegativeInteger} N - number of columns in matrix `A`
+* @param {Float64Array} A - input matrix
+* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @throws {TypeError} first argument must be a valid order
+* @throws {RangeError} fourth argument must be greater than or equal to max(1,N)
+* @returns {Float64Array} scaled matrix `A`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = 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 ] ]
+*
+* dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 );
+* // A => [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+*/
+function dlascl( order, type, KL, KU, CFROM, CTO, M, N, A, LDA ) {
+ var sa1;
+ var sa2;
+ var s;
+
+ if ( !isLayout( order ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+ }
+
+ if ( type !== 'general' && type !== 'upper' && type !== 'lower' && type !== 'upper-hessenberg' && type !== 'symmetric-banded-lower' && type !== 'symmetric-banded-upper' && type !== 'banded' ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid matrix type. Value: `%s`.', type ) );
+ }
+
+ if ( isRowMajor( order ) ) {
+ s = N;
+ } else if ( type === 'general' || type === 'upper' || type === 'lower' || type === 'upper-hessenberg' ) {
+ s = M;
+ } else if ( type === 'symmetric-banded-lower' ) {
+ s = KL + 1;
+ } else if ( type === 'symmetric-banded-upper' ) {
+ s = KU + 1;
+ } else {
+ s = (2*KL) + KU + 1;
+ }
+
+ if ( LDA < max( 1, s ) ) {
+ throw new RangeError( format( 'invalid argument. Tenth argument must be greater than or equal to max(1,%d). Value: `%d`.', s, LDA ) );
+ }
+
+ if ( isColumnMajor( order ) ) {
+ sa1 = 1;
+ sa2 = LDA;
+ } else { // order === 'row-major'
+ sa1 = LDA;
+ sa2 = 1;
+ }
+
+ return base( type, KL, KU, CFROM, CTO, M, N, A, sa1, sa2, 0 );
+}
+
+
+// EXPORTS //
+
+module.exports = dlascl;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dlascl/lib/index.js
new file mode 100644
index 000000000000..c1efddb9eef0
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/lib/index.js
@@ -0,0 +1,59 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* LAPACK routine to multiply a real M by N matrix `A` by a real scalar `CTO/CFROM`.
+*
+* @module @stdlib/lapack/base/dlascl
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dlascl = require( '@stdlib/lapack/base/dlascl' );
+*
+* var A = 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 ] ]
+*
+* dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 );
+* // A => [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+*/
+
+// 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 dlascl;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+ dlascl = main;
+} else {
+ dlascl = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = dlascl;
+
+// exports: { "ndarray": "dlascl.ndarray" }
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/lib/main.js b/lib/node_modules/@stdlib/lapack/base/dlascl/lib/main.js
new file mode 100644
index 000000000000..76e9fd4d9586
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var dlascl = require( './dlascl.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( dlascl, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = dlascl;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlascl/lib/ndarray.js
new file mode 100644
index 000000000000..63fe7f1b73c7
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/lib/ndarray.js
@@ -0,0 +1,65 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM` using alternative indexing semantics.
+*
+* @param {string} type - specifies the type of matrix `A`
+* @param {NonNegativeInteger} KL - lower band width of `A`. Referenced only if type is `symmetric-banded-lower` or `banded`.
+* @param {NonNegativeInteger} KU - upper band width of `A`. Referenced only if type is `symmetric-banded-upper` or `banded`.
+* @param {number} CFROM - the matrix `A` is multiplied by `CTO / CFROM`
+* @param {number} CTO - the matrix `A` is multiplied by `CTO / CFROM`
+* @param {NonNegativeInteger} M - number of rows in matrix `A`
+* @param {NonNegativeInteger} N - number of columns in matrix `A`
+* @param {Float64Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @throws {TypeError} first argument must be a valid order
+* @throws {RangeError} fourth argument must be greater than or equal to max(1,N)
+* @returns {Float64Array} scaled matrix `A`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = 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 ] ]
+*
+* dlascl( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2, 1, 0 );
+* // A => [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+*/
+function dlascl( type, KL, KU, CFROM, CTO, M, N, A, strideA1, strideA2, offsetA ) { // eslint-disable-line max-len, max-params
+ if ( type !== 'general' && type !== 'upper' && type !== 'lower' && type !== 'upper-hessenberg' && type !== 'symmetric-banded-lower' && type !== 'symmetric-banded-upper' && type !== 'banded' ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid matrix type. Value: `%s`.', type ) );
+ }
+ return base( type, KL, KU, CFROM, CTO, M, N, A, strideA1, strideA2, offsetA ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dlascl;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/package.json b/lib/node_modules/@stdlib/lapack/base/dlascl/package.json
new file mode 100644
index 000000000000..c69c98163e7c
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/package.json
@@ -0,0 +1,69 @@
+{
+ "name": "@stdlib/lapack/base/dlascl",
+ "version": "0.0.0",
+ "description": "LAPACK routine to multiply a real M by N matrix `A` by a real scalar `CTO/CFROM`.",
+ "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",
+ "dlascl",
+ "scale",
+ "linear",
+ "algebra",
+ "subroutines",
+ "array",
+ "ndarray",
+ "matrix",
+ "float64",
+ "double",
+ "float64array"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/banded_column_major.json b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/banded_column_major.json
new file mode 100644
index 000000000000..9fcd8f4d79a7
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/banded_column_major.json
@@ -0,0 +1,42 @@
+{
+ "order": "column-major",
+ "type": "banded",
+ "M": 5,
+ "N": 5,
+ "KL": 2,
+ "KU": 1,
+ "CFROM": 1.0,
+ "CTO": 10.0,
+ "A": [
+ 0.0, 0.0, 0.0, 1.1, 2.1, 3.1,
+ 0.0, 0.0, 1.2, 2.2, 3.2, 4.2,
+ 0.0, 0.0, 2.3, 3.3, 4.3, 5.3,
+ 0.0, 0.0, 3.4, 4.4, 5.4, 0.0,
+ 0.0, 0.0, 4.5, 5.5, 0.0, 0.0
+ ],
+ "A_mat": [
+ [ 1.1, 1.2, 0.0, 0.0, 0.0 ],
+ [ 2.1, 2.2, 2.3, 0.0, 0.0 ],
+ [ 3.1, 3.2, 3.3, 3.4, 0.0 ],
+ [ 0.0, 4.2, 4.3, 4.4, 4.5 ],
+ [ 0.0, 0.0, 5.3, 5.4, 5.5 ]
+ ],
+ "LDA": 6,
+ "strideA1": 1,
+ "strideA2": 6,
+ "offsetA": 0,
+ "A_out": [
+ 0.0, 0.0, 0.0, 11.0, 21.0, 31.0,
+ 0.0, 0.0, 12.0, 22.0, 32.0, 42.0,
+ 0.0, 0.0, 23.0, 33.0, 43.0, 53.0,
+ 0.0, 0.0, 34.0, 44.0, 54.0, 0.0,
+ 0.0, 0.0, 45.0, 55.0, 0.0, 0.0
+ ],
+ "A_out_mat": [
+ [ 11.0, 12.0, 0.0, 0.0, 0.0 ],
+ [ 21.0, 22.0, 23.0, 0.0, 0.0 ],
+ [ 31.0, 32.0, 33.0, 34.0, 0.0 ],
+ [ 0.0, 42.0, 43.0, 44.0, 45.0 ],
+ [ 0.0, 0.0, 53.0, 54.0, 55.0 ]
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/banded_row_major.json b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/banded_row_major.json
new file mode 100644
index 000000000000..c166ace4cf04
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/banded_row_major.json
@@ -0,0 +1,44 @@
+{
+ "order": "row-major",
+ "type": "banded",
+ "M": 5,
+ "N": 5,
+ "KL": 2,
+ "KU": 1,
+ "CFROM": 1.0,
+ "CTO": 10.0,
+ "A": [
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.0, 1.2, 2.3, 3.4, 4.5,
+ 1.1, 2.2, 3.3, 4.4, 5.5,
+ 2.1, 3.2, 4.3, 5.4, 0.0,
+ 3.1, 4.2, 5.3, 0.0, 0.0
+ ],
+ "A_mat": [
+ [ 1.1, 1.2, 0.0, 0.0, 0.0 ],
+ [ 2.1, 2.2, 2.3, 0.0, 0.0 ],
+ [ 3.1, 3.2, 3.3, 3.4, 0.0 ],
+ [ 0.0, 4.2, 4.3, 4.4, 4.5 ],
+ [ 0.0, 0.0, 5.3, 5.4, 5.5 ]
+ ],
+ "LDA": 5,
+ "strideA1": 5,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.0, 12.0, 23.0, 34.0, 45.0,
+ 11.0, 22.0, 33.0, 44.0, 55.0,
+ 21.0, 32.0, 43.0, 54.0, 0.0,
+ 31.0, 42.0, 53.0, 0.0, 0.0
+ ],
+ "A_out_mat": [
+ [ 11.0, 12.0, 0.0, 0.0, 0.0 ],
+ [ 21.0, 22.0, 23.0, 0.0, 0.0 ],
+ [ 31.0, 32.0, 33.0, 34.0, 0.0 ],
+ [ 0.0, 42.0, 43.0, 44.0, 45.0 ],
+ [ 0.0, 0.0, 53.0, 54.0, 55.0 ]
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/general_column_major.json b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/general_column_major.json
new file mode 100644
index 000000000000..3f9682f399de
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/general_column_major.json
@@ -0,0 +1,26 @@
+{
+ "order": "column-major",
+ "type": "general",
+ "M": 3,
+ "N": 2,
+ "KL": 0,
+ "KU": 0,
+ "CFROM": 1.0,
+ "CTO": 2.0,
+ "A": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0 ],
+ [ 3.0, 4.0 ],
+ [ 5.0, 6.0 ]
+ ],
+ "LDA": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ],
+ "A_out_mat": [
+ [ 2.0, 4.0 ],
+ [ 6.0, 8.0 ],
+ [ 10.0, 12.0 ]
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/general_row_major.json b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/general_row_major.json
new file mode 100644
index 000000000000..ac970e7f1811
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/general_row_major.json
@@ -0,0 +1,26 @@
+{
+ "order": "row-major",
+ "type": "general",
+ "M": 3,
+ "N": 2,
+ "KL": 0,
+ "KU": 0,
+ "CFROM": 1.0,
+ "CTO": 2.0,
+ "A": [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 4.0 ],
+ [ 2.0, 5.0 ],
+ [ 3.0, 6.0 ]
+ ],
+ "LDA": 2,
+ "strideA1": 2,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 2.0, 8.0, 4.0, 10.0, 6.0, 12.0 ],
+ "A_out_mat": [
+ [ 2.0, 8.0 ],
+ [ 4.0, 10.0 ],
+ [ 6.0, 12.0 ]
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/lower_column_major.json b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/lower_column_major.json
new file mode 100644
index 000000000000..babf42ed9e86
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/lower_column_major.json
@@ -0,0 +1,26 @@
+{
+ "order": "column-major",
+ "type": "lower",
+ "M": 3,
+ "N": 3,
+ "KL": 0,
+ "KU": 0,
+ "CFROM": 1.0,
+ "CTO": 2.0,
+ "A": [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 2.0, 4.0, 0.0 ],
+ [ 3.0, 5.0, 6.0 ]
+ ],
+ "LDA": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 2.0, 4.0, 6.0, 0.0, 8.0, 10.0, 0.0, 0.0, 12.0 ],
+ "A_out_mat": [
+ [ 2.0, 0.0, 0.0 ],
+ [ 4.0, 8.0, 0.0 ],
+ [ 6.0, 10.0, 12.0 ]
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/lower_row_major.json b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/lower_row_major.json
new file mode 100644
index 000000000000..e2f0b9837d5f
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/lower_row_major.json
@@ -0,0 +1,26 @@
+{
+ "order": "row-major",
+ "type": "lower",
+ "M": 3,
+ "N": 3,
+ "KL": 0,
+ "KU": 0,
+ "CFROM": 1.0,
+ "CTO": 2.0,
+ "A": [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 0.0, 0.0 ],
+ [ 2.0, 4.0, 0.0 ],
+ [ 3.0, 5.0, 6.0 ]
+ ],
+ "LDA": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 2.0, 0.0, 0.0, 4.0, 8.0, 0.0, 6.0, 10.0, 12.0 ],
+ "A_out_mat": [
+ [ 2.0, 0.0, 0.0 ],
+ [ 4.0, 8.0, 0.0 ],
+ [ 6.0, 10.0, 12.0 ]
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/upper_column_major.json b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/upper_column_major.json
new file mode 100644
index 000000000000..dc639a094b76
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/upper_column_major.json
@@ -0,0 +1,26 @@
+{
+ "order": "column-major",
+ "type": "upper",
+ "M": 3,
+ "N": 3,
+ "KL": 0,
+ "KU": 0,
+ "CFROM": 1.0,
+ "CTO": 2.0,
+ "A": [ 1.0, 0.0, 0.0, 2.0, 3.0, 0.0, 4.0, 5.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 4.0 ],
+ [ 0.0, 3.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "LDA": 3,
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "A_out": [ 2.0, 0.0, 0.0, 4.0, 6.0, 0.0, 8.0, 10.0, 12.0 ],
+ "A_out_mat": [
+ [ 2.0, 4.0, 8.0 ],
+ [ 0.0, 6.0, 10.0 ],
+ [ 0.0, 0.0, 12.0 ]
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/upper_row_major.json b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/upper_row_major.json
new file mode 100644
index 000000000000..3cf311d545e3
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/fixtures/upper_row_major.json
@@ -0,0 +1,26 @@
+{
+ "order": "row-major",
+ "type": "upper",
+ "M": 3,
+ "N": 3,
+ "KL": 0,
+ "KU": 0,
+ "CFROM": 1.0,
+ "CTO": 2.0,
+ "A": [ 1.0, 2.0, 4.0, 0.0, 3.0, 5.0, 0.0, 0.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 4.0 ],
+ [ 0.0, 3.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "LDA": 3,
+ "strideA1": 3,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A_out": [ 2.0, 4.0, 8.0, 0.0, 6.0, 10.0, 0.0, 0.0, 12.0 ],
+ "A_out_mat": [
+ [ 2.0, 4.0, 8.0 ],
+ [ 0.0, 6.0, 10.0 ],
+ [ 0.0, 0.0, 12.0 ]
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/test.dlascl.js b/lib/node_modules/@stdlib/lapack/base/dlascl/test/test.dlascl.js
new file mode 100644
index 000000000000..ca8628cd4253
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/test.dlascl.js
@@ -0,0 +1,460 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dlascl = require( './../lib/dlascl.js' );
+
+
+// FIXTURES //
+
+var GENERAL_COL_MAJOR = require( './fixtures/general_column_major.json' );
+var GENERAL_ROW_MAJOR = require( './fixtures/general_row_major.json' );
+var UPPER_COL_MAJOR = require( './fixtures/upper_column_major.json' );
+var UPPER_ROW_MAJOR = require( './fixtures/upper_row_major.json' );
+var LOWER_COL_MAJOR = require( './fixtures/lower_row_major.json' );
+var LOWER_ROW_MAJOR = require( './fixtures/lower_row_major.json' );
+var BANDED_COL_MAJOR = require( './fixtures/banded_column_major.json' );
+var BANDED_ROW_MAJOR = require( './fixtures/banded_row_major.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dlascl, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 10', function test( t ) {
+ t.strictEqual( dlascl.length, 10, '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 i;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ 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() {
+ dlascl( value, 'general', 0, 0, 1, 1, 0, 0, new Float64Array(), 1 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument which is not a valid matrix type', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ 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() {
+ dlascl( 'row-major', value, 0, 0, 1, 1, 0, 0, new Float64Array(), 1 );
+ };
+ }
+});
+
+tape( 'the function throws a range error if `LDA` is invalid (general, row-major)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws a range error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 2, 2, new Float64Array( 4 ), value );
+ };
+ }
+});
+
+tape( 'the function throws a range error if `LDA` is invalid (general, column-major)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws a range error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlascl( 'column-major', 'general', 0, 0, 1.0, 2.0, 2, 2, new Float64Array( 4 ), value );
+ };
+ }
+});
+
+tape( 'the function throws a range error if `LDA` is invalid (upper, row-major)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws a range error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlascl( 'row-major', 'upper', 0, 0, 1.0, 2.0, 2, 2, new Float64Array( 4 ), value );
+ };
+ }
+});
+
+tape( 'the function throws a range error if `LDA` is invalid (upper, column-major)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws a range error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlascl( 'column-major', 'upper', 0, 0, 1.0, 2.0, 2, 2, new Float64Array( 4 ), value );
+ };
+ }
+});
+
+tape( 'the function throws a range error if `LDA` is invalid (lower, row-major)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws a range error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlascl( 'row-major', 'lower', 0, 0, 1.0, 2.0, 2, 2, new Float64Array( 4 ), value );
+ };
+ }
+});
+
+tape( 'the function throws a range error if `LDA` is invalid (lower, column-major)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws a range error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlascl( 'column-major', 'lower', 0, 0, 1.0, 2.0, 2, 2, new Float64Array( 4 ), value );
+ };
+ }
+});
+
+tape( 'the function throws a range error if `LDA` is invalid (symmetric-banded-lower, column-major)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws a range error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlascl( 'column-major', 'symmetric-banded-lower', 1, 0, 1.0, 2.0, 5, 5, new Float64Array( 10 ), value );
+ };
+ }
+});
+
+tape( 'the function throws a range error if `LDA` is invalid (symmetric-banded-upper, column-major)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws a range error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlascl( 'column-major', 'symmetric-banded-upper', 0, 1, 1.0, 2.0, 5, 5, new Float64Array( 10 ), value );
+ };
+ }
+});
+
+tape( 'the function throws a range error if `LDA` is invalid (banded, column-major)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0,
+ 1,
+ 2,
+ 3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws a range error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlascl( 'column-major', 'banded', 1, 1, 1.0, 2.0, 5, 5, new Float64Array( 20 ), value );
+ };
+ }
+});
+
+tape( 'the function scales a general matrix (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = GENERAL_COL_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.order, data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.LDA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales a general matrix (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = GENERAL_ROW_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.order, data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.LDA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales an upper triangular matrix (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = UPPER_COL_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.order, data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.LDA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales an upper triangular matrix (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = UPPER_ROW_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.order, data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.LDA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales a lower triangular matrix (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = LOWER_COL_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.order, data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.LDA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales a lower triangular matrix (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = LOWER_ROW_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.order, data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.LDA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales a banded matrix (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = BANDED_COL_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.order, data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.LDA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales a banded matrix (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = BANDED_ROW_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.order, data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.LDA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/test.js b/lib/node_modules/@stdlib/lapack/base/dlascl/test/test.js
new file mode 100644
index 000000000000..15d459bc01e3
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var dlascl = 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 dlascl, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof dlascl.ndarray, 'function', 'method is a function' );
+ t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+ var dlascl = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dlascl, 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 dlascl;
+ var main;
+
+ main = require( './../lib/dlascl.js' );
+
+ dlascl = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dlascl, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dlascl/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlascl/test/test.ndarray.js
new file mode 100644
index 000000000000..631d90008013
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlascl/test/test.ndarray.js
@@ -0,0 +1,197 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dlascl = require( './../lib/ndarray.js' );
+
+
+// FIXTURES //
+
+var GENERAL_COL_MAJOR = require( './fixtures/general_column_major.json' );
+var GENERAL_ROW_MAJOR = require( './fixtures/general_row_major.json' );
+var UPPER_COL_MAJOR = require( './fixtures/upper_column_major.json' );
+var UPPER_ROW_MAJOR = require( './fixtures/upper_row_major.json' );
+var LOWER_COL_MAJOR = require( './fixtures/lower_row_major.json' );
+var LOWER_ROW_MAJOR = require( './fixtures/lower_row_major.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dlascl, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 11', function test( t ) {
+ t.strictEqual( dlascl.length, 11, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not a valid matrix type', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ 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() {
+ dlascl( value, 0, 0, 1, 1, 0, 0, new Float64Array(), 1, 1, 0 );
+ };
+ }
+});
+
+tape( 'the function scales a general matrix (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = GENERAL_COL_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales a general matrix (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = GENERAL_ROW_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales an upper triangular matrix (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = UPPER_COL_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales an upper triangular matrix (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = UPPER_ROW_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales a lower triangular matrix (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = LOWER_COL_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function scales a lower triangular matrix (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var out;
+ var A;
+
+ data = LOWER_ROW_MAJOR;
+
+ A = new Float64Array( data.A );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dlascl( data.type, data.KL, data.KU, data.CFROM, data.CTO, data.M, data.N, A, data.strideA1, data.strideA2, data.offsetA );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});