From b591d4831df13805b137f47e000fbef14960a7af Mon Sep 17 00:00:00 2001
From: Karan Anand <anandkarancompsci@gmail.com>
Date: Sat, 23 May 2026 20:46:57 -0700
Subject: [PATCH 1/5] feat: add `blas/ext/base/ndarray/daxpb`

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type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
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---
---
 .../blas/ext/base/ndarray/daxpb/README.md     | 112 ++++++++++
 .../base/ndarray/daxpb/benchmark/benchmark.js |  95 +++++++++
 .../blas/ext/base/ndarray/daxpb/docs/repl.txt |  35 +++
 .../base/ndarray/daxpb/docs/types/index.d.ts  |  53 +++++
 .../ext/base/ndarray/daxpb/docs/types/test.ts |  77 +++++++
 .../ext/base/ndarray/daxpb/examples/index.js  |  32 +++
 .../blas/ext/base/ndarray/daxpb/lib/index.js  |  44 ++++
 .../blas/ext/base/ndarray/daxpb/lib/main.js   |  64 ++++++
 .../blas/ext/base/ndarray/daxpb/package.json  |  75 +++++++
 .../blas/ext/base/ndarray/daxpb/test/test.js  | 201 ++++++++++++++++++
 10 files changed, 788 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/README.md
new file mode 100644
index 000000000000..2a841f673509
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/README.md
@@ -0,0 +1,112 @@
+<!--
+
+@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.
+
+-->
+
+# daxpb
+
+> Multiply each element in a one-dimensional double-precision floating-point ndarray by a scalar constant and add a scalar constant to each result.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var daxpb = require( '@stdlib/blas/ext/base/ndarray/daxpb' );
+```
+
+#### daxpb( alpha, beta, arrays )
+
+Multiplies each element in a one-dimensional double-precision floating-point ndarray by a scalar constant `alpha` and adds a scalar constant `beta` to each result.
+
+```javascript
+var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+
+var x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
+// returns <ndarray>[ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ]
+
+daxpb( 5.0, 3.0, [ x ] );
+// x => <ndarray>[ -7.0, 8.0, 18.0, -22.0, 23.0, 3.0, -2.0, -12.0 ]
+```
+
+The function has the following parameters:
+
+-   **alpha**: first scalar constant.
+-   **beta**: second scalar constant.
+-   **arrays**: array-like object containing a one-dimensional input ndarray.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The input ndarray is modified **in-place** (i.e., the input ndarray is **mutated**).
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var daxpb = require( '@stdlib/blas/ext/base/ndarray/daxpb' );
+
+var opts = {
+    'dtype': 'float64'
+};
+var x = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( x ) );
+
+daxpb( 5.0, 3.0, [ x ] );
+console.log( ndarray2array( x ) );
+```
+
+</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/ext/base/ndarray/daxpb/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/benchmark/benchmark.js
new file mode 100644
index 000000000000..cd0fe1911676
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/benchmark/benchmark.js
@@ -0,0 +1,95 @@
+/**
+* @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 Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var daxpb = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var x = new Float64Vector( len );
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var out;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			out = daxpb( 5.0, 3.0, [ x ] );
+			if ( typeof out !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+		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/ext/base/ndarray/daxpb/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
new file mode 100644
index 000000000000..d0cc38770f0f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
@@ -0,0 +1,35 @@
+
+{{alias}}( alpha, beta, arrays )
+    Multiplies each element in a one-dimensional double-precision
+    floating-point ndarray by a scalar constant and adds a scalar constant to
+    each result.
+
+    The input ndarray is modified *in-place* (i.e., the input ndarray is
+    *mutated*).
+
+    Parameters
+    ----------
+    alpha: number
+        First scalar constant.
+
+    beta: number
+        Second scalar constant.
+
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing a one-dimensional input ndarray.
+
+    Returns
+    -------
+    out: ndarray
+        Input ndarray.
+
+    Examples
+    --------
+    > var buf = [ -2.0, 1.0, 3.0, -5.0 ];
+    > var x = new {{alias:@stdlib/ndarray/vector/float64}}( buf );
+    > {{alias}}( 5.0, 3.0, [ x ] )
+    <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/index.d.ts
new file mode 100644
index 000000000000..89c00192a25b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/index.d.ts
@@ -0,0 +1,53 @@
+/*
+* @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 each element in a one-dimensional double-precision floating-point ndarray by a scalar constant and adds a scalar constant to each result.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*
+* @param alpha - first scalar constant
+* @param beta - second scalar constant
+* @param arrays - array-like object containing a one-dimensional input ndarray
+* @returns input ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+*
+* var x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+* // returns <ndarray>[ -2.0, 1.0, 3.0, -5.0 ]
+*
+* var out = daxpb( 5.0, 3.0, [ x ] );
+* // returns <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]
+*/
+declare function daxpb( alpha: number, beta: number, arrays: [ float64ndarray ] ): float64ndarray;
+
+
+// EXPORTS //
+
+export = daxpb;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/test.ts
new file mode 100644
index 000000000000..ab1b8441b7fd
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/test.ts
@@ -0,0 +1,77 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+import daxpb = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+	daxpb( 5.0, 3.0, [ x ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a number...
+{
+	const x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+	daxpb( '5', 3.0, [ x ] ); // $ExpectError
+	daxpb( true, 3.0, [ x ] ); // $ExpectError
+	daxpb( false, 3.0, [ x ] ); // $ExpectError
+	daxpb( null, 3.0, [ x ] ); // $ExpectError
+	daxpb( undefined, 3.0, [ x ] ); // $ExpectError
+	daxpb( [], 3.0, [ x ] ); // $ExpectError
+	daxpb( {}, 3.0, [ x ] ); // $ExpectError
+	daxpb( ( x: number ): number => x, 3.0, [ x ] ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+	const x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+	daxpb( 5.0, '3', [ x ] ); // $ExpectError
+	daxpb( 5.0, true, [ x ] ); // $ExpectError
+	daxpb( 5.0, false, [ x ] ); // $ExpectError
+	daxpb( 5.0, null, [ x ] ); // $ExpectError
+	daxpb( 5.0, undefined, [ x ] ); // $ExpectError
+	daxpb( 5.0, [], [ x ] ); // $ExpectError
+	daxpb( 5.0, {}, [ x ] ); // $ExpectError
+	daxpb( 5.0, ( x: number ): number => x, [ x ] ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not an array of ndarrays...
+{
+	daxpb( 5.0, 3.0, '10' ); // $ExpectError
+	daxpb( 5.0, 3.0, 5 ); // $ExpectError
+	daxpb( 5.0, 3.0, true ); // $ExpectError
+	daxpb( 5.0, 3.0, false ); // $ExpectError
+	daxpb( 5.0, 3.0, null ); // $ExpectError
+	daxpb( 5.0, 3.0, undefined ); // $ExpectError
+	daxpb( 5.0, 3.0, [] ); // $ExpectError
+	daxpb( 5.0, 3.0, {} ); // $ExpectError
+	daxpb( 5.0, 3.0, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+	daxpb(); // $ExpectError
+	daxpb( 5.0 ); // $ExpectError
+	daxpb( 5.0, 3.0 ); // $ExpectError
+	daxpb( 5.0, 3.0, [ x ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/examples/index.js
new file mode 100644
index 000000000000..aa966600820c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/examples/index.js
@@ -0,0 +1,32 @@
+/**
+* @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 ndarray2array = require( '@stdlib/ndarray/to-array' );
+var daxpb = require( './../lib' );
+
+var opts = {
+	'dtype': 'float64'
+};
+var x = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( x ) );
+
+daxpb( 5.0, 3.0, [ x ] );
+console.log( ndarray2array( x ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/index.js
new file mode 100644
index 000000000000..be37a620a9aa
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/index.js
@@ -0,0 +1,44 @@
+/**
+* @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';
+
+/**
+* Multiply each element in a one-dimensional double-precision floating-point ndarray by a scalar constant and add a scalar constant to each result.
+*
+* @module @stdlib/blas/ext/base/ndarray/daxpb
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var daxpb = require( '@stdlib/blas/ext/base/ndarray/daxpb' );
+*
+* var x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+* // returns <ndarray>[ -2.0, 1.0, 3.0, -5.0 ]
+*
+* var out = daxpb( 5.0, 3.0, [ x ] );
+* // returns <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/main.js
new file mode 100644
index 000000000000..3902add0b399
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/main.js
@@ -0,0 +1,64 @@
+/**
+* @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 strided = require( '@stdlib/blas/ext/base/daxpb' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Multiplies each element in a one-dimensional double-precision floating-point ndarray by a scalar constant and adds a scalar constant to each result.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*
+* @param {number} alpha - first scalar constant
+* @param {number} beta - second scalar constant
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {ndarray} input ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+*
+* var x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+* // returns <ndarray>[ -2.0, 1.0, 3.0, -5.0 ]
+*
+* var out = daxpb( 5.0, 3.0, [ x ] );
+* // returns <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]
+*/
+function daxpb( alpha, beta, arrays ) {
+	var x = arrays[ 0 ];
+	strided( numelDimension( x, 0 ), alpha, beta, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
+	return x;
+}
+
+
+// EXPORTS //
+
+module.exports = daxpb;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/package.json
new file mode 100644
index 000000000000..06a80f6bcbd1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/package.json
@@ -0,0 +1,75 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/daxpb",
+  "version": "0.0.0",
+  "description": "Multiply each element in a one-dimensional double-precision floating-point ndarray by a scalar constant and add a scalar constant to each result.",
+  "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",
+    "extended",
+    "ext",
+    "daxpb",
+    "axpb",
+    "multiply",
+    "add",
+    "scalar",
+    "constant",
+    "linear",
+    "combination",
+    "strided",
+    "array",
+    "ndarray",
+    "float64",
+    "double",
+    "double-precision"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js
new file mode 100644
index 000000000000..ca4a36c8778a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js
@@ -0,0 +1,201 @@
+/**
+* @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 Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var daxpb = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Float64Array} 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 daxpb, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 3', function test( t ) {
+	t.strictEqual( daxpb.length, 3, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function multiplies each element by a scalar constant and adds a scalar constant', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var x;
+
+	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0 ] );
+	x = vector( xbuf, 5, 1, 0 );
+
+	actual = daxpb( 5.0, 3.0, [ x ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Float64Array( [ -7.0, 8.0, 18.0, -22.0, 23.0 ] );
+	t.deepEqual( xbuf, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function adds `beta` to each element when `alpha` equals `1.0`', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var x;
+
+	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0 ] );
+	x = vector( xbuf, 5, 1, 0 );
+
+	actual = daxpb( 1.0, 3.0, [ x ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 4.0, 6.0, -2.0, 7.0 ] );
+	t.deepEqual( xbuf, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function multiplies each element by `alpha` when `beta` equals `0.0`', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var x;
+
+	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0 ] );
+	x = vector( xbuf, 5, 1, 0 );
+
+	actual = daxpb( 5.0, 0.0, [ x ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Float64Array( [ -10.0, 5.0, 15.0, -25.0, 20.0 ] );
+	t.deepEqual( xbuf, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a non-unit stride', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var x;
+
+	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
+	x = vector( xbuf, 4, 2, 0 );
+
+	actual = daxpb( 5.0, 3.0, [ x ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Float64Array( [ -7.0, 1.0, 18.0, -5.0, 23.0, 0.0, -2.0, -3.0 ] );
+	t.deepEqual( xbuf, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a negative stride', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var x;
+
+	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0 ] );
+	x = vector( xbuf, 5, -1, 4 );
+
+	actual = daxpb( 5.0, 3.0, [ x ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Float64Array( [ -7.0, 8.0, 18.0, -22.0, 23.0 ] );
+	t.deepEqual( xbuf, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a non-zero offset', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, -2.0, 3.0, -5.0, 4.0, 0.0 ] );
+	x = vector( xbuf, 3, 1, 2 );
+
+	actual = daxpb( 5.0, 3.0, [ x ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, -2.0, 18.0, -22.0, 23.0, 0.0 ] );
+	t.deepEqual( xbuf, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a negative stride and non-zero offset', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, -2.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0, 2.0, 6.0 ] );
+	x = vector( xbuf, 5, -2, 9 );
+
+	actual = daxpb( 5.0, 3.0, [ x ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, -7.0, 3.0, -22.0, 4.0, 3.0, -1.0, -12.0, 2.0, 33.0 ] );
+	t.deepEqual( xbuf, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns the input ndarray unchanged when the input ndarray is empty', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var x;
+
+	xbuf = new Float64Array( [] );
+	x = vector( xbuf, 0, 1, 0 );
+
+	actual = daxpb( 5.0, 3.0, [ x ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Float64Array( [] );
+	t.deepEqual( xbuf, expected, 'returns expected value' );
+
+	t.end();
+});

From 0b551535b8d6eed85ccc6b4aadea7f4744e09d50 Mon Sep 17 00:00:00 2001
From: Karan Anand <anandkarancompsci@gmail.com>
Date: Sat, 23 May 2026 20:56:42 -0700
Subject: [PATCH 2/5] chore: fix line breaks

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
    status: na
  - task: lint_markdown_docs
    status: na
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt        | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
index d0cc38770f0f..b4e080bbefcc 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
@@ -1,8 +1,7 @@
 
 {{alias}}( alpha, beta, arrays )
-    Multiplies each element in a one-dimensional double-precision
-    floating-point ndarray by a scalar constant and adds a scalar constant to
-    each result.
+    Multiplies each element in a one-dimensional double-precision floating-point
+    ndarray by a scalar constant and adds a scalar constant to each result.
 
     The input ndarray is modified *in-place* (i.e., the input ndarray is
     *mutated*).

From 1054d44c4f50fe75ba88dca53e3e3f428ef7db3a Mon Sep 17 00:00:00 2001
From: Karan Anand <anandkarancompsci@gmail.com>
Date: Mon, 25 May 2026 16:41:48 -0700
Subject: [PATCH 3/5] chore: apply suggestions from review

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
    status: passed
  - task: lint_markdown_docs
    status: na
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: passed
  - task: lint_license_headers
    status: passed
---
---
 .../blas/ext/base/ndarray/daxpb/README.md     |  35 ++++--
 .../base/ndarray/daxpb/benchmark/benchmark.js |  20 +++-
 .../blas/ext/base/ndarray/daxpb/docs/repl.txt |  19 ++--
 .../base/ndarray/daxpb/docs/types/index.d.ts  |  22 ++--
 .../ext/base/ndarray/daxpb/docs/types/test.ts |  77 ++++++-------
 .../ext/base/ndarray/daxpb/examples/index.js  |  11 +-
 .../blas/ext/base/ndarray/daxpb/lib/index.js  |  12 ++-
 .../blas/ext/base/ndarray/daxpb/lib/main.js   |  27 +++--
 .../blas/ext/base/ndarray/daxpb/test/test.js  | 102 ++++++++++++++----
 9 files changed, 226 insertions(+), 99 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/README.md
index 2a841f673509..0b7ccf659c0a 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/README.md
@@ -36,25 +36,35 @@ limitations under the License.
 var daxpb = require( '@stdlib/blas/ext/base/ndarray/daxpb' );
 ```
 
-#### daxpb( alpha, beta, arrays )
+#### daxpb( arrays )
 
-Multiplies each element in a one-dimensional double-precision floating-point ndarray by a scalar constant `alpha` and adds a scalar constant `beta` to each result.
+Multiplies each element in a one-dimensional double-precision floating-point ndarray by a scalar constant and adds a scalar constant to each result.
 
 ```javascript
 var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 
 var x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
-// returns <ndarray>[ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ]
 
-daxpb( 5.0, 3.0, [ x ] );
+var alpha = scalar2ndarray( 5.0, {
+    'dtype': 'float64'
+});
+
+var beta = scalar2ndarray( 3.0, {
+    'dtype': 'float64'
+});
+
+daxpb( [ x, alpha, beta ] );
 // x => <ndarray>[ -7.0, 8.0, 18.0, -22.0, 23.0, 3.0, -2.0, -12.0 ]
 ```
 
 The function has the following parameters:
 
--   **alpha**: first scalar constant.
--   **beta**: second scalar constant.
--   **arrays**: array-like object containing a one-dimensional input ndarray.
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a zero-dimensional ndarray containing the scalar constant to multiply.
+    -   a zero-dimensional ndarray containing the scalar constant to add.
 
 </section>
 
@@ -78,16 +88,25 @@ The function has the following parameters:
 
 ```javascript
 var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
 var daxpb = require( '@stdlib/blas/ext/base/ndarray/daxpb' );
 
 var opts = {
     'dtype': 'float64'
 };
+
 var x = discreteUniform( [ 10 ], -100, 100, opts );
 console.log( ndarray2array( x ) );
 
-daxpb( 5.0, 3.0, [ x ] );
+var alpha = scalar2ndarray( 5.0, opts );
+console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );
+
+var beta = scalar2ndarray( 3.0, opts );
+console.log( 'Beta: %d', ndarraylike2scalar( beta ) );
+
+daxpb( [ x, alpha, beta ] );
 console.log( ndarray2array( x ) );
 ```
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/benchmark/benchmark.js
index cd0fe1911676..38d1338a63cd 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/benchmark/benchmark.js
@@ -21,13 +21,21 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var uniform = require( '@stdlib/random/uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var daxpb = require( './../lib' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -38,7 +46,13 @@ var daxpb = require( './../lib' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = new Float64Vector( len );
+	var alpha;
+	var beta;
+	var x;
+
+	x = uniform( [ len ], -100.0, 100.0, options );
+	alpha = scalar2ndarray( 5.0, options );
+	beta = scalar2ndarray( 3.0, options );
 	return benchmark;
 
 	/**
@@ -53,7 +67,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = daxpb( 5.0, 3.0, [ x ] );
+			out = daxpb( [ x, alpha, beta ] );
 			if ( typeof out !== 'object' ) {
 				b.fail( 'should return an ndarray' );
 			}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
index b4e080bbefcc..5df623d41aa9 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
@@ -1,5 +1,5 @@
 
-{{alias}}( alpha, beta, arrays )
+{{alias}}( arrays )
     Multiplies each element in a one-dimensional double-precision floating-point
     ndarray by a scalar constant and adds a scalar constant to each result.
 
@@ -8,14 +8,12 @@
 
     Parameters
     ----------
-    alpha: number
-        First scalar constant.
-
-    beta: number
-        Second scalar constant.
-
     arrays: ArrayLikeObject<ndarray>
-        Array-like object containing a one-dimensional input ndarray.
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a zero-dimensional ndarray containing the scalar constant to multiply.
+        - a zero-dimensional ndarray containing the scalar constant to add.
 
     Returns
     -------
@@ -26,7 +24,10 @@
     --------
     > var buf = [ -2.0, 1.0, 3.0, -5.0 ];
     > var x = new {{alias:@stdlib/ndarray/vector/float64}}( buf );
-    > {{alias}}( 5.0, 3.0, [ x ] )
+    > var s2a = {{alias:@stdlib/ndarray/from-scalar}};
+    > var alpha = s2a( 5.0, { 'dtype': 'float64' } );
+    > var beta = s2a( 3.0, { 'dtype': 'float64' } );
+    > {{alias}}( [ x, alpha, beta ] )
     <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]
 
     See Also
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/index.d.ts
index 89c00192a25b..acf39fb593a8 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/index.d.ts
@@ -20,7 +20,7 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { float64ndarray } from '@stdlib/types/ndarray';
+import { float64ndarray, typedndarray } from '@stdlib/types/ndarray';
 
 /**
 * Multiplies each element in a one-dimensional double-precision floating-point ndarray by a scalar constant and adds a scalar constant to each result.
@@ -30,22 +30,30 @@ import { float64ndarray } from '@stdlib/types/ndarray';
 * -   The function expects the following ndarrays:
 *
 *     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant to multiply.
+*     -   a zero-dimensional ndarray containing the scalar constant to add.
 *
-* @param alpha - first scalar constant
-* @param beta - second scalar constant
-* @param arrays - array-like object containing a one-dimensional input ndarray
+* @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( [ -2.0, 1.0, 3.0, -5.0 ] );
-* // returns <ndarray>[ -2.0, 1.0, 3.0, -5.0 ]
 *
-* var out = daxpb( 5.0, 3.0, [ x ] );
+* var alpha = scalar2ndarray( 5.0, {
+*     'dtype': 'float64'
+* });
+*
+* var beta = scalar2ndarray( 3.0, {
+*     'dtype': 'float64'
+* });
+*
+* var out = daxpb( [ x, alpha, beta ] );
 * // returns <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]
 */
-declare function daxpb( alpha: number, beta: number, arrays: [ float64ndarray ] ): float64ndarray;
+declare function daxpb( arrays: [ float64ndarray, typedndarray<number>, typedndarray<number> ] ): float64ndarray;
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/test.ts
index ab1b8441b7fd..026b5895a9c0 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/types/test.ts
@@ -16,7 +16,10 @@
 * limitations under the License.
 */
 
-import Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 import daxpb = require( './index' );
 
 
@@ -24,54 +27,44 @@ import daxpb = require( './index' );
 
 // The function returns an ndarray...
 {
-	const x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
-	daxpb( 5.0, 3.0, [ x ] ); // $ExpectType float64ndarray
-}
+	const x = zeros( [ 10 ], {
+		'dtype': 'float64'
+	});
+	const alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+	const beta = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
 
-// The compiler throws an error if the function is provided a first argument which is not a number...
-{
-	const x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
-	daxpb( '5', 3.0, [ x ] ); // $ExpectError
-	daxpb( true, 3.0, [ x ] ); // $ExpectError
-	daxpb( false, 3.0, [ x ] ); // $ExpectError
-	daxpb( null, 3.0, [ x ] ); // $ExpectError
-	daxpb( undefined, 3.0, [ x ] ); // $ExpectError
-	daxpb( [], 3.0, [ x ] ); // $ExpectError
-	daxpb( {}, 3.0, [ x ] ); // $ExpectError
-	daxpb( ( x: number ): number => x, 3.0, [ x ] ); // $ExpectError
+	daxpb( [ x, alpha, beta ] ); // $ExpectType float64ndarray
 }
 
-// The compiler throws an error if the function is provided a second argument which is not a number...
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
 {
-	const x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
-	daxpb( 5.0, '3', [ x ] ); // $ExpectError
-	daxpb( 5.0, true, [ x ] ); // $ExpectError
-	daxpb( 5.0, false, [ x ] ); // $ExpectError
-	daxpb( 5.0, null, [ x ] ); // $ExpectError
-	daxpb( 5.0, undefined, [ x ] ); // $ExpectError
-	daxpb( 5.0, [], [ x ] ); // $ExpectError
-	daxpb( 5.0, {}, [ x ] ); // $ExpectError
-	daxpb( 5.0, ( x: number ): number => x, [ x ] ); // $ExpectError
-}
-
-// The compiler throws an error if the function is provided a third argument which is not an array of ndarrays...
-{
-	daxpb( 5.0, 3.0, '10' ); // $ExpectError
-	daxpb( 5.0, 3.0, 5 ); // $ExpectError
-	daxpb( 5.0, 3.0, true ); // $ExpectError
-	daxpb( 5.0, 3.0, false ); // $ExpectError
-	daxpb( 5.0, 3.0, null ); // $ExpectError
-	daxpb( 5.0, 3.0, undefined ); // $ExpectError
-	daxpb( 5.0, 3.0, [] ); // $ExpectError
-	daxpb( 5.0, 3.0, {} ); // $ExpectError
-	daxpb( 5.0, 3.0, ( x: number ): number => x ); // $ExpectError
+	daxpb( '10' ); // $ExpectError
+	daxpb( 5 ); // $ExpectError
+	daxpb( true ); // $ExpectError
+	daxpb( false ); // $ExpectError
+	daxpb( null ); // $ExpectError
+	daxpb( undefined ); // $ExpectError
+	daxpb( [] ); // $ExpectError
+	daxpb( {} ); // $ExpectError
+	daxpb( ( x: number ): number => x ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided an unsupported number of arguments...
 {
-	const x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+	const x = zeros( [ 10 ], {
+		'dtype': 'float64'
+	});
+	const alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+	const beta = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
+
 	daxpb(); // $ExpectError
-	daxpb( 5.0 ); // $ExpectError
-	daxpb( 5.0, 3.0 ); // $ExpectError
-	daxpb( 5.0, 3.0, [ x ], {} ); // $ExpectError
+	daxpb( [ x, alpha, beta ], {} ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/examples/index.js
index aa966600820c..069594c704f1 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/examples/index.js
@@ -19,14 +19,23 @@
 'use strict';
 
 var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
 var daxpb = require( './../lib' );
 
 var opts = {
 	'dtype': 'float64'
 };
+
 var x = discreteUniform( [ 10 ], -100, 100, opts );
 console.log( ndarray2array( x ) );
 
-daxpb( 5.0, 3.0, [ x ] );
+var alpha = scalar2ndarray( 5.0, opts );
+console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );
+
+var beta = scalar2ndarray( 3.0, opts );
+console.log( 'Beta: %d', ndarraylike2scalar( beta ) );
+
+daxpb( [ x, alpha, beta ] );
 console.log( ndarray2array( x ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/index.js
index be37a620a9aa..4ba4d926221c 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/index.js
@@ -25,12 +25,20 @@
 *
 * @example
 * var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 * var daxpb = require( '@stdlib/blas/ext/base/ndarray/daxpb' );
 *
 * var x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
-* // returns <ndarray>[ -2.0, 1.0, 3.0, -5.0 ]
 *
-* var out = daxpb( 5.0, 3.0, [ x ] );
+* var alpha = scalar2ndarray( 5.0, {
+*     'dtype': 'float64'
+* });
+*
+* var beta = scalar2ndarray( 3.0, {
+*     'dtype': 'float64'
+* });
+*
+* var out = daxpb( [ x, alpha, beta ] );
 * // returns <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]
 */
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/main.js
index 3902add0b399..6bc6732bae1f 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/lib/main.js
@@ -25,6 +25,7 @@ var getStride = require( '@stdlib/ndarray/base/stride' );
 var getOffset = require( '@stdlib/ndarray/base/offset' );
 var getData = require( '@stdlib/ndarray/base/data-buffer' );
 var strided = require( '@stdlib/blas/ext/base/daxpb' ).ndarray;
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
 
 
 // MAIN //
@@ -37,23 +38,37 @@ var strided = require( '@stdlib/blas/ext/base/daxpb' ).ndarray;
 * -   The function expects the following ndarrays:
 *
 *     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant to multiply.
+*     -   a zero-dimensional ndarray containing the scalar constant to add.
 *
-* @param {number} alpha - first scalar constant
-* @param {number} beta - second scalar constant
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
 * @returns {ndarray} input ndarray
 *
 * @example
 * var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 *
 * var x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
-* // returns <ndarray>[ -2.0, 1.0, 3.0, -5.0 ]
 *
-* var out = daxpb( 5.0, 3.0, [ x ] );
+* var alpha = scalar2ndarray( 5.0, {
+*     'dtype': 'float64'
+* });
+*
+* var beta = scalar2ndarray( 3.0, {
+*     'dtype': 'float64'
+* });
+*
+* var out = daxpb( [ x, alpha, beta ] );
 * // returns <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]
 */
-function daxpb( alpha, beta, arrays ) {
-	var x = arrays[ 0 ];
+function daxpb( arrays ) {
+	var alpha;
+	var beta;
+	var x;
+
+	x = arrays[ 0 ];
+	alpha = ndarraylike2scalar( arrays[ 1 ] );
+	beta = ndarraylike2scalar( arrays[ 2 ] );
 	strided( numelDimension( x, 0 ), alpha, beta, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
 	return x;
 }
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js
index ca4a36c8778a..b09e5365ceed 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js
@@ -22,6 +22,7 @@
 
 var tape = require( 'tape' );
 var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var daxpb = require( './../lib' );
 
@@ -51,21 +52,24 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-tape( 'the function has an arity of 3', function test( t ) {
-	t.strictEqual( daxpb.length, 3, 'returns expected value' );
-	t.end();
-});
-
 tape( 'the function multiplies each element by a scalar constant and adds a scalar constant', function test( t ) {
 	var expected;
 	var actual;
+	var alpha;
+	var beta;
 	var xbuf;
 	var x;
 
 	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0 ] );
 	x = vector( xbuf, 5, 1, 0 );
-
-	actual = daxpb( 5.0, 3.0, [ x ] );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+	beta = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
+
+	actual = daxpb( [ x, alpha, beta ] );
 	t.strictEqual( actual, x, 'returns expected value' );
 
 	expected = new Float64Array( [ -7.0, 8.0, 18.0, -22.0, 23.0 ] );
@@ -77,13 +81,21 @@ tape( 'the function multiplies each element by a scalar constant and adds a scal
 tape( 'the function adds `beta` to each element when `alpha` equals `1.0`', function test( t ) {
 	var expected;
 	var actual;
+	var alpha;
+	var beta;
 	var xbuf;
 	var x;
 
 	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0 ] );
 	x = vector( xbuf, 5, 1, 0 );
-
-	actual = daxpb( 1.0, 3.0, [ x ] );
+	alpha = scalar2ndarray( 1.0, {
+		'dtype': 'float64'
+	});
+	beta = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
+
+	actual = daxpb( [ x, alpha, beta ] );
 	t.strictEqual( actual, x, 'returns expected value' );
 
 	expected = new Float64Array( [ 1.0, 4.0, 6.0, -2.0, 7.0 ] );
@@ -95,13 +107,21 @@ tape( 'the function adds `beta` to each element when `alpha` equals `1.0`', func
 tape( 'the function multiplies each element by `alpha` when `beta` equals `0.0`', function test( t ) {
 	var expected;
 	var actual;
+	var alpha;
+	var beta;
 	var xbuf;
 	var x;
 
 	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0 ] );
 	x = vector( xbuf, 5, 1, 0 );
-
-	actual = daxpb( 5.0, 0.0, [ x ] );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+	beta = scalar2ndarray( 0.0, {
+		'dtype': 'float64'
+	});
+
+	actual = daxpb( [ x, alpha, beta ] );
 	t.strictEqual( actual, x, 'returns expected value' );
 
 	expected = new Float64Array( [ -10.0, 5.0, 15.0, -25.0, 20.0 ] );
@@ -113,13 +133,21 @@ tape( 'the function multiplies each element by `alpha` when `beta` equals `0.0`'
 tape( 'the function supports an input ndarray having a non-unit stride', function test( t ) {
 	var expected;
 	var actual;
+	var alpha;
+	var beta;
 	var xbuf;
 	var x;
 
 	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
 	x = vector( xbuf, 4, 2, 0 );
-
-	actual = daxpb( 5.0, 3.0, [ x ] );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+	beta = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
+
+	actual = daxpb( [ x, alpha, beta ] );
 	t.strictEqual( actual, x, 'returns expected value' );
 
 	expected = new Float64Array( [ -7.0, 1.0, 18.0, -5.0, 23.0, 0.0, -2.0, -3.0 ] );
@@ -131,13 +159,21 @@ tape( 'the function supports an input ndarray having a non-unit stride', functio
 tape( 'the function supports an input ndarray having a negative stride', function test( t ) {
 	var expected;
 	var actual;
+	var alpha;
+	var beta;
 	var xbuf;
 	var x;
 
 	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0 ] );
 	x = vector( xbuf, 5, -1, 4 );
-
-	actual = daxpb( 5.0, 3.0, [ x ] );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+	beta = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
+
+	actual = daxpb( [ x, alpha, beta ] );
 	t.strictEqual( actual, x, 'returns expected value' );
 
 	expected = new Float64Array( [ -7.0, 8.0, 18.0, -22.0, 23.0 ] );
@@ -149,13 +185,21 @@ tape( 'the function supports an input ndarray having a negative stride', functio
 tape( 'the function supports an input ndarray having a non-zero offset', function test( t ) {
 	var expected;
 	var actual;
+	var alpha;
+	var beta;
 	var xbuf;
 	var x;
 
 	xbuf = new Float64Array( [ 1.0, -2.0, 3.0, -5.0, 4.0, 0.0 ] );
 	x = vector( xbuf, 3, 1, 2 );
-
-	actual = daxpb( 5.0, 3.0, [ x ] );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+	beta = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
+
+	actual = daxpb( [ x, alpha, beta ] );
 	t.strictEqual( actual, x, 'returns expected value' );
 
 	expected = new Float64Array( [ 1.0, -2.0, 18.0, -22.0, 23.0, 0.0 ] );
@@ -167,13 +211,21 @@ tape( 'the function supports an input ndarray having a non-zero offset', functio
 tape( 'the function supports an input ndarray having a negative stride and non-zero offset', function test( t ) {
 	var expected;
 	var actual;
+	var alpha;
+	var beta;
 	var xbuf;
 	var x;
 
 	xbuf = new Float64Array( [ 1.0, -2.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0, 2.0, 6.0 ] );
 	x = vector( xbuf, 5, -2, 9 );
-
-	actual = daxpb( 5.0, 3.0, [ x ] );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+	beta = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
+
+	actual = daxpb( [ x, alpha, beta ] );
 	t.strictEqual( actual, x, 'returns expected value' );
 
 	expected = new Float64Array( [ 1.0, -7.0, 3.0, -22.0, 4.0, 3.0, -1.0, -12.0, 2.0, 33.0 ] );
@@ -185,13 +237,21 @@ tape( 'the function supports an input ndarray having a negative stride and non-z
 tape( 'the function returns the input ndarray unchanged when the input ndarray is empty', function test( t ) {
 	var expected;
 	var actual;
+	var alpha;
+	var beta;
 	var xbuf;
 	var x;
 
 	xbuf = new Float64Array( [] );
 	x = vector( xbuf, 0, 1, 0 );
-
-	actual = daxpb( 5.0, 3.0, [ x ] );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+	beta = scalar2ndarray( 3.0, {
+		'dtype': 'float64'
+	});
+
+	actual = daxpb( [ x, alpha, beta ] );
 	t.strictEqual( actual, x, 'returns expected value' );
 
 	expected = new Float64Array( [] );

From d7b5e11c4589489cc28d994967091c854beeb7ec Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Tue, 26 May 2026 03:19:37 -0700
Subject: [PATCH 4/5] test: remove unnecessary tests

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../blas/ext/base/ndarray/daxpb/test/test.js  | 78 -------------------
 1 file changed, 78 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js
index b09e5365ceed..5d68439f006f 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/test/test.js
@@ -78,58 +78,6 @@ tape( 'the function multiplies each element by a scalar constant and adds a scal
 	t.end();
 });
 
-tape( 'the function adds `beta` to each element when `alpha` equals `1.0`', function test( t ) {
-	var expected;
-	var actual;
-	var alpha;
-	var beta;
-	var xbuf;
-	var x;
-
-	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0 ] );
-	x = vector( xbuf, 5, 1, 0 );
-	alpha = scalar2ndarray( 1.0, {
-		'dtype': 'float64'
-	});
-	beta = scalar2ndarray( 3.0, {
-		'dtype': 'float64'
-	});
-
-	actual = daxpb( [ x, alpha, beta ] );
-	t.strictEqual( actual, x, 'returns expected value' );
-
-	expected = new Float64Array( [ 1.0, 4.0, 6.0, -2.0, 7.0 ] );
-	t.deepEqual( xbuf, expected, 'returns expected value' );
-
-	t.end();
-});
-
-tape( 'the function multiplies each element by `alpha` when `beta` equals `0.0`', function test( t ) {
-	var expected;
-	var actual;
-	var alpha;
-	var beta;
-	var xbuf;
-	var x;
-
-	xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0 ] );
-	x = vector( xbuf, 5, 1, 0 );
-	alpha = scalar2ndarray( 5.0, {
-		'dtype': 'float64'
-	});
-	beta = scalar2ndarray( 0.0, {
-		'dtype': 'float64'
-	});
-
-	actual = daxpb( [ x, alpha, beta ] );
-	t.strictEqual( actual, x, 'returns expected value' );
-
-	expected = new Float64Array( [ -10.0, 5.0, 15.0, -25.0, 20.0 ] );
-	t.deepEqual( xbuf, expected, 'returns expected value' );
-
-	t.end();
-});
-
 tape( 'the function supports an input ndarray having a non-unit stride', function test( t ) {
 	var expected;
 	var actual;
@@ -208,32 +156,6 @@ tape( 'the function supports an input ndarray having a non-zero offset', functio
 	t.end();
 });
 
-tape( 'the function supports an input ndarray having a negative stride and non-zero offset', function test( t ) {
-	var expected;
-	var actual;
-	var alpha;
-	var beta;
-	var xbuf;
-	var x;
-
-	xbuf = new Float64Array( [ 1.0, -2.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0, 2.0, 6.0 ] );
-	x = vector( xbuf, 5, -2, 9 );
-	alpha = scalar2ndarray( 5.0, {
-		'dtype': 'float64'
-	});
-	beta = scalar2ndarray( 3.0, {
-		'dtype': 'float64'
-	});
-
-	actual = daxpb( [ x, alpha, beta ] );
-	t.strictEqual( actual, x, 'returns expected value' );
-
-	expected = new Float64Array( [ 1.0, -7.0, 3.0, -22.0, 4.0, 3.0, -1.0, -12.0, 2.0, 33.0 ] );
-	t.deepEqual( xbuf, expected, 'returns expected value' );
-
-	t.end();
-});
-
 tape( 'the function returns the input ndarray unchanged when the input ndarray is empty', function test( t ) {
 	var expected;
 	var actual;

From 615ff492a7aa9448f6a726f2d07b1149ebb7a28b Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Tue, 26 May 2026 03:22:44 -0700
Subject: [PATCH 5/5] Apply suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt       | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
index 5df623d41aa9..a1b7fb59ca56 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/daxpb/docs/repl.txt
@@ -24,9 +24,9 @@
     --------
     > var buf = [ -2.0, 1.0, 3.0, -5.0 ];
     > var x = new {{alias:@stdlib/ndarray/vector/float64}}( buf );
-    > var s2a = {{alias:@stdlib/ndarray/from-scalar}};
-    > var alpha = s2a( 5.0, { 'dtype': 'float64' } );
-    > var beta = s2a( 3.0, { 'dtype': 'float64' } );
+    > var opts = { 'dtype': 'float64' };
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, opts );
+    > var beta = {{alias:@stdlib/ndarray/from-scalar}}( 3.0, opts );
     > {{alias}}( [ x, alpha, beta ] )
     <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]