From 72e167b969be1533690069fdd2907aa2dd72abb2 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 4 May 2026 12:06:32 +0530
Subject: [PATCH 1/2] feat: add blas/base/ndarray/dscal

---
 .../@stdlib/blas/base/ndarray/dscal/README.md | 120 ++++++++++
 .../base/ndarray/dscal/benchmark/benchmark.js | 109 +++++++++
 .../blas/base/ndarray/dscal/docs/repl.txt     |  33 +++
 .../base/ndarray/dscal/docs/types/index.d.ts  |  59 +++++
 .../base/ndarray/dscal/docs/types/test.ts     |  63 ++++++
 .../blas/base/ndarray/dscal/examples/index.js |  36 +++
 .../blas/base/ndarray/dscal/lib/index.js      |  51 +++++
 .../blas/base/ndarray/dscal/lib/main.js       |  72 ++++++
 .../blas/base/ndarray/dscal/package.json      |  73 ++++++
 .../blas/base/ndarray/dscal/test/test.js      | 209 ++++++++++++++++++
 10 files changed, 825 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dscal/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dscal/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dscal/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dscal/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dscal/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dscal/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dscal/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/README.md
new file mode 100644
index 000000000000..d1809c1cf6d5
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/README.md
@@ -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.
+
+-->
+
+# dscal
+
+> Multiply a one-dimensional double-precision floating-point ndarray by a scalar constant.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var dscal = require( '@stdlib/blas/base/ndarray/dscal' );
+```
+
+#### dscal( arrays )
+
+Multiplies a one-dimensional double-precision floating-point ndarray by a scalar constant.
+
+```javascript
+var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = new Float64Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+
+var alpha = scalar2ndarray( 5.0, {
+    'dtype': 'float64'
+});
+
+var y = dscal( [ x, alpha ] );
+// returns <ndarray>[ 5.0, 10.0, 15.0, 20.0, 25.0 ]
+
+var bool = ( y === x );
+// returns true
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a zero-dimensional ndarray containing a scalar constant.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dscal = require( '@stdlib/blas/base/ndarray/dscal' );
+
+var opts = {
+    'dtype': 'float64'
+};
+
+var x = discreteUniform( [ 10 ], 0, 100, opts );
+console.log( ndarray2array( x ) );
+
+var alpha = scalar2ndarray( 5.0, opts );
+
+var out = dscal( [ x, alpha ] );
+console.log( ndarray2array( out ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- 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">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/benchmark/benchmark.js
new file mode 100644
index 000000000000..e6589d2c069f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/benchmark/benchmark.js
@@ -0,0 +1,109 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dscal = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var alpha;
+	var x;
+
+	x = uniform( [ len ], -100.0, 100.0, options );
+	alpha = scalar2ndarray( 5.0, options );
+
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var z;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			z = dscal( [ x, alpha ] );
+			if ( typeof z !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnan( z.get( i%len ) ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( format( '%s:len=%d', pkg, len ), f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/repl.txt
new file mode 100644
index 000000000000..c5141ef75d1c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/repl.txt
@@ -0,0 +1,33 @@
+
+{{alias}}( arrays )
+    Multiplies a one-dimensional double-precision floating-point ndarray by a
+    scalar constant.
+
+    If provided an empty input ndarray, the function returns the input ndarray
+    unchanged.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a zero-dimensional ndarray containing a scalar constant `alpha`.
+
+    Returns
+    -------
+    out: ndarray
+        Input ndarray.
+
+    Examples
+    --------
+    > var x = new {{alias:@stdlib/ndarray/vector/float64}}( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, { 'dtype': 'float64' });
+
+    > {{alias}}( [ x, alpha ] );
+    > x
+    <ndarray>[ 20.0, 10.0, -15.0, 25.0, -5.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/types/index.d.ts
new file mode 100644
index 000000000000..8776d85bde7b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/types/index.d.ts
@@ -0,0 +1,59 @@
+/*
+* @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 { float64ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Multiplies a one-dimensional double-precision floating-point ndarray by a scalar constant.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing a scalar constant.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns input ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+*
+* var alpha = scalar2ndarray( 5.0, {
+*     'dtype': 'float64'
+* });
+*
+* var y = dscal( [ x, alpha ] );
+* // returns <ndarray>[ 5.0, 10.0, 15.0, 20.0, 25.0 ]
+*
+* var bool = ( y === x );
+* // returns true
+*/
+declare function dscal( arrays: [ float64ndarray, float64ndarray ] ): float64ndarray;
+
+
+// EXPORTS //
+
+export = dscal;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/types/test.ts
new file mode 100644
index 000000000000..b307f32abdd5
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/types/test.ts
@@ -0,0 +1,63 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import dscal = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float64'
+	});
+	const alpha = zeros( [], {
+		'dtype': 'float64'
+	});
+
+	dscal( [ x, alpha ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	dscal( '10' ); // $ExpectError
+	dscal( 10 ); // $ExpectError
+	dscal( true ); // $ExpectError
+	dscal( false ); // $ExpectError
+	dscal( null ); // $ExpectError
+	dscal( undefined ); // $ExpectError
+	dscal( [] ); // $ExpectError
+	dscal( {} ); // $ExpectError
+	dscal( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float64'
+	});
+	const alpha = zeros( [], {
+		'dtype': 'float64'
+	});
+
+	dscal(); // $ExpectError
+	dscal( [ x, alpha ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/examples/index.js
new file mode 100644
index 000000000000..a4bcba6c17fd
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/examples/index.js
@@ -0,0 +1,36 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dscal = require( './../lib' );
+
+var opts = {
+	'dtype': 'float64'
+};
+
+var x = discreteUniform( [ 10 ], 0, 100, opts );
+console.log( ndarray2array( x ) );
+
+var alpha = scalar2ndarray( 5.0, opts );
+
+var out = dscal( [ x, alpha ] );
+console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/lib/index.js
new file mode 100644
index 000000000000..12c594c574c1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/lib/index.js
@@ -0,0 +1,51 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* BLAS level 1 routine to multiply a one-dimensional double-precision floating-point ndarray by a scalar constant.
+*
+* @module @stdlib/blas/base/ndarray/dscal
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var dscal = require( '@stdlib/blas/base/ndarray/dscal' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+*
+* var alpha = scalar2ndarray( 5.0, {
+*     'dtype': 'float64'
+* });
+*
+* var y = dscal( [ x, alpha ] );
+* // returns <ndarray>[ 5.0, 10.0, 15.0, 20.0, 25.0 ]
+*
+* var bool = ( y === x );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/lib/main.js
new file mode 100644
index 000000000000..b140cdd61000
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/lib/main.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';
+
+// MODULES //
+
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var strided = require( '@stdlib/blas/base/dscal' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Multiplies a one-dimensional double-precision floating-point ndarray by a scalar constant.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing a scalar constant.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {Object} input ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+*
+* var alpha = scalar2ndarray( 5.0, {
+*     'dtype': 'float64'
+* });
+*
+* var y = dscal( [ x, alpha ] );
+* // returns <ndarray>[ 5.0, 10.0, 15.0, 20.0, 25.0 ]
+*
+* var bool = ( y === x );
+* // returns true
+*/
+function dscal( arrays ) {
+	var alpha = ndarraylike2scalar( arrays[ 1 ] );
+	var x = arrays[ 0 ];
+	strided( numelDimension( x, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
+	return x;
+}
+
+
+// EXPORTS //
+
+module.exports = dscal;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/package.json b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/package.json
new file mode 100644
index 000000000000..43b1800a39a4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/package.json
@@ -0,0 +1,73 @@
+{
+  "name": "@stdlib/blas/base/ndarray/dscal",
+  "version": "0.0.0",
+  "description": "Multiply a one-dimensional double-precision floating-point ndarray by a scalar constant.",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdmath",
+    "mathematics",
+    "math",
+    "blas",
+    "level 1",
+    "dscal",
+    "linear",
+    "algebra",
+    "subroutines",
+    "scal",
+    "sscal",
+    "scale",
+    "multiply",
+    "vector",
+    "array",
+    "ndarray",
+    "float64",
+    "double",
+    "float64array"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/test/test.js
new file mode 100644
index 000000000000..92e432479b7e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/test/test.js
@@ -0,0 +1,209 @@
+/**
+* @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 isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var dscal = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Collection} buffer - underlying data buffer
+* @param {NonNegativeInteger} length - number of indexed elements
+* @param {integer} stride - stride length
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} one-dimensional ndarray
+*/
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'float64', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dscal, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( dscal.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function multiplies a one-dimensional ndarray by a scalar constant', function test( t ) {
+	var expected;
+	var alpha;
+	var xbuf;
+	var x;
+	var v;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	x = vector( xbuf, 5, 1, 0 );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+
+	v = dscal( [ x, alpha ] );
+
+	expected = new Float64Array( [ 5.0, 10.0, 15.0, 20.0, 25.0 ] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float64Array( [ 1.0, 2.0 ] );
+	x = vector( xbuf, 2, 1, 0 );
+	alpha = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
+
+	v = dscal( [ x, alpha ] );
+
+	expected = new Float64Array( [ 3.0, 6.0 ] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an empty ndarray, the function returns the input ndarray unchanged', function test( t ) {
+	var expected;
+	var alpha;
+	var xbuf;
+	var x;
+	var v;
+
+	xbuf = new Float64Array( [] );
+	x = vector( xbuf, 0, 1, 0 );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+
+	v = dscal( [ x, alpha ] );
+
+	expected = new Float64Array( [] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) {
+	var expected;
+	var alpha;
+	var xbuf;
+	var x;
+	var v;
+
+	xbuf = new Float64Array([
+		1.0, // 0
+		2.0,
+		3.0, // 1
+		4.0,
+		5.0  // 2
+	]);
+	x = vector( xbuf, 3, 2, 0 );
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'float64'
+	});
+
+	v = dscal( [ x, alpha ] );
+
+	expected = new Float64Array( [ 2.0, 2.0, 6.0, 4.0, 10.0 ] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) {
+	var expected;
+	var alpha;
+	var xbuf;
+	var x;
+	var v;
+
+	xbuf = new Float64Array([
+		1.0, // 2
+		2.0,
+		3.0, // 1
+		4.0,
+		5.0  // 0
+	]);
+	x = vector( xbuf, 3, -2, 4 );
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'float64'
+	});
+
+	v = dscal( [ x, alpha ] );
+
+	expected = new Float64Array( [ 2.0, 2.0, 6.0, 4.0, 10.0 ] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) {
+	var expected;
+	var alpha;
+	var xbuf;
+	var x;
+	var v;
+
+	xbuf = new Float64Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0   // 3
+	]);
+	x = vector( xbuf, 4, 2, 1 );
+	alpha = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
+
+	v = dscal( [ x, alpha ] );
+
+	expected = new Float64Array([
+		2.0,
+		3.0,  // 0
+		2.0,
+		-6.0, // 1
+		-2.0,
+		6.0,  // 2
+		3.0,
+		12.0  // 3
+	]);
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});

From 9b5b851924b372f138bd11c55d1c779e0d81e7b9 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Mon, 4 May 2026 02:38:58 -0700
Subject: [PATCH 2/2] Apply suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/blas/base/ndarray/dscal/docs/repl.txt             | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/repl.txt
index c5141ef75d1c..69b83b80ad8b 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dscal/docs/repl.txt
@@ -12,7 +12,7 @@
         Array-like object containing the following ndarrays:
 
         - a one-dimensional input ndarray.
-        - a zero-dimensional ndarray containing a scalar constant `alpha`.
+        - a zero-dimensional ndarray containing a scalar constant.
 
     Returns
     -------
@@ -22,7 +22,7 @@
     Examples
     --------
     > var x = new {{alias:@stdlib/ndarray/vector/float64}}( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
-    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, { 'dtype': 'float64' });
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, { 'dtype': 'float64' } );
 
     > {{alias}}( [ x, alpha ] );
     > x