From 84f523c2b75f8c54de42792e944632d32c752ad3 Mon Sep 17 00:00:00 2001
From: Karan Anand <anandkarancompsci@gmail.com>
Date: Sun, 1 Nov 2026 11:20:27 -0700
Subject: [PATCH] feat: add `blas/ext/base/ndarray/cwaxpb`

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---
 .../blas/ext/base/ndarray/cwaxpb/README.md    | 149 ++++
 .../ndarray/cwaxpb/benchmark/benchmark.js     | 114 +++
 .../ext/base/ndarray/cwaxpb/docs/repl.txt     |  38 +
 .../base/ndarray/cwaxpb/docs/types/index.d.ts |  65 ++
 .../base/ndarray/cwaxpb/docs/types/test.ts    |  77 ++
 .../ext/base/ndarray/cwaxpb/examples/index.js |  50 ++
 .../blas/ext/base/ndarray/cwaxpb/lib/index.js |  54 ++
 .../blas/ext/base/ndarray/cwaxpb/lib/main.js  | 103 +++
 .../blas/ext/base/ndarray/cwaxpb/package.json |  77 ++
 .../blas/ext/base/ndarray/cwaxpb/test/test.js | 673 ++++++++++++++++++
 10 files changed, 1400 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/README.md
new file mode 100644
index 000000000000..78b9288c0bd2
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/README.md
@@ -0,0 +1,149 @@
+<!--
+
+@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.
+
+-->
+
+# cwaxpb
+
+> Multiply each element in an input one-dimensional single-precision complex floating-point ndarray by a scalar constant and add a scalar constant before assigning the results to elements in a one-dimensional single-precision complex floating-point output ndarray.
+
+<section class="intro">
+
+This BLAS extension implements the linear transformation
+
+<!-- <equation class="equation" label="eq:waxpb" align="center" raw="\mathbf{w} = \alpha \mathbf{x} + \beta" alt="Equation for waxpb operation."> -->
+
+```math
+\mathbf{w} = \alpha \mathbf{x} + \beta
+```
+
+<!-- </equation> -->
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var cwaxpb = require( '@stdlib/blas/ext/base/ndarray/cwaxpb' );
+```
+
+#### cwaxpb( arrays )
+
+Multiplies each element in an input one-dimensional single-precision complex floating-point ndarray by a scalar constant and adds a scalar constant before assigning the results to elements in a one-dimensional single-precision complex floating-point output ndarray.
+
+```javascript
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = new Complex64Vector( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
+var w = new Complex64Vector( 4 );
+
+var alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+    'dtype': 'complex64'
+});
+
+var beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+    'dtype': 'complex64'
+});
+
+cwaxpb( [ x, w, alpha, beta ] );
+// w => <ndarray>[ <Complex64>[ -7.0, 5.0 ], <Complex64>[ 18.0, -25.0 ], <Complex64>[ 23.0, 0.0 ], <Complex64>[ -2.0, -15.0 ] ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a one-dimensional output ndarray.
+    -   a zero-dimensional ndarray containing the scalar constant to multiply.
+    -   a zero-dimensional ndarray containing the scalar constant to add.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var cwaxpb = require( '@stdlib/blas/ext/base/ndarray/cwaxpb' );
+
+var opts = {
+    'dtype': 'float32'
+};
+
+var x = new Complex64Vector( discreteUniform( 20, -100, 100, opts ) );
+console.log( ndarray2array( x ) );
+
+var w = new Complex64Vector( 10 );
+console.log( ndarray2array( w ) );
+
+var alpha = scalar2ndarray( new Complex64( 5.0, -3.0 ), {
+    'dtype': 'complex64'
+});
+console.log( 'Alpha:', ndarraylike2scalar( alpha ) );
+
+var beta = scalar2ndarray( new Complex64( 2.0, 1.0 ), {
+    'dtype': 'complex64'
+});
+console.log( 'Beta:', ndarraylike2scalar( beta ) );
+
+cwaxpb( [ x, w, alpha, beta ] );
+console.log( ndarray2array( w ) );
+```
+
+</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/cwaxpb/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/benchmark/benchmark.js
new file mode 100644
index 000000000000..bc5610291d58
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/benchmark/benchmark.js
@@ -0,0 +1,114 @@
+/**
+* @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/array/uniform' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var cwaxpb = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var alpha;
+	var beta;
+	var xbuf;
+	var x;
+	var w;
+
+	xbuf = uniform( len*2, -100.0, 100.0, {
+		'dtype': 'float32'
+	});
+	x = new Complex64Vector( xbuf.buffer );
+	w = new Complex64Vector( len );
+	alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	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 = cwaxpb( [ x, w, alpha, beta ] );
+			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/cwaxpb/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/docs/repl.txt
new file mode 100644
index 000000000000..bde0284c462a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/docs/repl.txt
@@ -0,0 +1,38 @@
+
+{{alias}}( arrays )
+    Multiplies each element in an input one-dimensional single-precision complex
+    floating-point ndarray by a scalar constant and adds a scalar constant
+    before assigning the results to elements in a one-dimensional single-
+    precision complex floating-point output ndarray.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a one-dimensional output ndarray.
+        - a zero-dimensional ndarray containing the scalar constant to multiply.
+        - a zero-dimensional ndarray containing the scalar constant to add.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var xbuf = [ -2.0, 1.0, 3.0, -5.0 ];
+    > var x = new {{alias:@stdlib/ndarray/vector/complex64}}( xbuf );
+    > var w = new {{alias:@stdlib/ndarray/vector/complex64}}( 2 );
+    > var opts = { 'dtype': 'complex64' };
+    > var a = new {{alias:@stdlib/complex/float32/ctor}}( 5.0, 0.0 );
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( a, opts );
+    > var b = new {{alias:@stdlib/complex/float32/ctor}}( 3.0, 0.0 );
+    > var beta = {{alias:@stdlib/ndarray/from-scalar}}( b, opts );
+    > {{alias}}( [ x, w, alpha, beta ] )
+    <ndarray>[ <Complex64>[ -7.0, 5.0 ], <Complex64>[ 18.0, -25.0 ] ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/docs/types/index.d.ts
new file mode 100644
index 000000000000..36bcfd9d5572
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/docs/types/index.d.ts
@@ -0,0 +1,65 @@
+/*
+* @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 { complex64ndarray, typedndarray } from '@stdlib/types/ndarray';
+import { Complex64 } from '@stdlib/types/complex';
+
+/**
+* Multiplies each element in an input one-dimensional single-precision complex floating-point ndarray by a scalar constant and adds a scalar constant before assigning the results to elements in a one-dimensional single-precision complex floating-point output ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a one-dimensional output ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant to multiply.
+*     -   a zero-dimensional ndarray containing the scalar constant to add.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Complex64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+* var w = new Complex64Vector( 2 );
+*
+* var alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var out = cwaxpb( [ x, w, alpha, beta ] );
+* // returns <ndarray>[ <Complex64>[ -7.0, 5.0 ], <Complex64>[ 18.0, -25.0 ] ]
+*/
+declare function cwaxpb( arrays: [ complex64ndarray, complex64ndarray, typedndarray<Complex64>, typedndarray<Complex64> ] ): complex64ndarray;
+
+
+// EXPORTS //
+
+export = cwaxpb;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/docs/types/test.ts
new file mode 100644
index 000000000000..48a380c4b10f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/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.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import Complex64 = require( '@stdlib/complex/float32/ctor' );
+import cwaxpb = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'complex64'
+	});
+	const w = zeros( [ 10 ], {
+		'dtype': 'complex64'
+	});
+	const alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	const beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	cwaxpb( [ x, w, alpha, beta ] ); // $ExpectType complex64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	cwaxpb( '10' ); // $ExpectError
+	cwaxpb( 5 ); // $ExpectError
+	cwaxpb( true ); // $ExpectError
+	cwaxpb( false ); // $ExpectError
+	cwaxpb( null ); // $ExpectError
+	cwaxpb( undefined ); // $ExpectError
+	cwaxpb( [] ); // $ExpectError
+	cwaxpb( {} ); // $ExpectError
+	cwaxpb( ( 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': 'complex64'
+	});
+	const w = zeros( [ 10 ], {
+		'dtype': 'complex64'
+	});
+	const alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	const beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	cwaxpb(); // $ExpectError
+	cwaxpb( [ x, w, alpha, beta ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/examples/index.js
new file mode 100644
index 000000000000..eefd3390bb4d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/examples/index.js
@@ -0,0 +1,50 @@
+/**
+* @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/array/discrete-uniform' );
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var cwaxpb = require( './../lib' );
+
+var opts = {
+	'dtype': 'float32'
+};
+
+var x = new Complex64Vector( discreteUniform( 20, -100, 100, opts ) );
+console.log( ndarray2array( x ) );
+
+var w = new Complex64Vector( 10 );
+console.log( ndarray2array( w ) );
+
+var alpha = scalar2ndarray( new Complex64( 5.0, -3.0 ), {
+	'dtype': 'complex64'
+});
+console.log( 'Alpha:', ndarraylike2scalar( alpha ) );
+
+var beta = scalar2ndarray( new Complex64( 2.0, 1.0 ), {
+	'dtype': 'complex64'
+});
+console.log( 'Beta:', ndarraylike2scalar( beta ) );
+
+cwaxpb( [ x, w, alpha, beta ] );
+console.log( ndarray2array( w ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/lib/index.js
new file mode 100644
index 000000000000..edcd0ea9fac3
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/lib/index.js
@@ -0,0 +1,54 @@
+/**
+* @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 an input one-dimensional single-precision complex floating-point ndarray by a scalar constant and add a scalar constant before assigning the results to elements in a one-dimensional single-precision complex floating-point output ndarray.
+*
+* @module @stdlib/blas/ext/base/ndarray/cwaxpb
+*
+* @example
+* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var cwaxpb = require( '@stdlib/blas/ext/base/ndarray/cwaxpb' );
+*
+* var x = new Complex64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+* var w = new Complex64Vector( 2 );
+*
+* var alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var out = cwaxpb( [ x, w, alpha, beta ] );
+* // returns <ndarray>[ <Complex64>[ -7.0, 5.0 ], <Complex64>[ 18.0, -25.0 ] ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/lib/main.js
new file mode 100644
index 000000000000..84bbaa3c2b49
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/lib/main.js
@@ -0,0 +1,103 @@
+/**
+* @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 cwax = require( '@stdlib/blas/ext/base/cwax' ).ndarray;
+var capx = require( '@stdlib/blas/ext/base/capx' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Multiplies each element in an input one-dimensional single-precision complex floating-point ndarray by a scalar constant and adds a scalar constant before assigning the results to elements in a one-dimensional single-precision complex floating-point output ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a one-dimensional output ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant to multiply.
+*     -   a zero-dimensional ndarray containing the scalar constant to add.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {ndarray} output ndarray
+*
+* @example
+* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Complex64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+* var w = new Complex64Vector( 2 );
+*
+* var alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var out = cwaxpb( [ x, w, alpha, beta ] );
+* // returns <ndarray>[ <Complex64>[ -7.0, 5.0 ], <Complex64>[ 18.0, -25.0 ] ]
+*
+* var bool = ( out === w );
+* // returns true
+*/
+function cwaxpb( arrays ) {
+	var alpha;
+	var wbuf;
+	var beta;
+	var sw;
+	var ow;
+	var N;
+	var x;
+	var w;
+
+	x = arrays[ 0 ];
+	w = arrays[ 1 ];
+	alpha = ndarraylike2scalar( arrays[ 2 ] );
+	beta = ndarraylike2scalar( arrays[ 3 ] );
+
+	N = numelDimension( x, 0 );
+	wbuf = getData( w );
+	sw = getStride( w, 0 );
+	ow = getOffset( w );
+
+	// Multiply each element by the scalar constant (w = alpha*x):
+	cwax( N, alpha, getData( x ), getStride( x, 0 ), getOffset( x ), wbuf, sw, ow ); // eslint-disable-line max-len
+
+	// Add the scalar constant (w += beta):
+	capx( N, beta, wbuf, sw, ow );
+
+	return w;
+}
+
+
+// EXPORTS //
+
+module.exports = cwaxpb;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/package.json
new file mode 100644
index 000000000000..c194e6379daf
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/package.json
@@ -0,0 +1,77 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/cwaxpb",
+  "version": "0.0.0",
+  "description": "Multiply each element in an input one-dimensional single-precision complex floating-point ndarray by a scalar constant and add a scalar constant before assigning the results to elements in a one-dimensional single-precision complex floating-point output ndarray.",
+  "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",
+    "cwaxpb",
+    "waxpb",
+    "multiply",
+    "add",
+    "scalar",
+    "constant",
+    "linear",
+    "transform",
+    "strided",
+    "array",
+    "ndarray",
+    "complex64",
+    "complex",
+    "single",
+    "single-precision",
+    "float32"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/test/test.js
new file mode 100644
index 000000000000..99f925044c0c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cwaxpb/test/test.js
@@ -0,0 +1,673 @@
+/**
+* @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 isSameComplex64Array = require( '@stdlib/assert/is-same-complex64array' );
+var Complex64Array = require( '@stdlib/array/complex64' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var cwaxpb = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Complex64Array} 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( 'complex64', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof cwaxpb, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( cwaxpb.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function multiplies each element by a scalar constant and adds a scalar constant before assigning the results to an output ndarray', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var beta;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0, // 1
+		4.0,  // 2
+		0.0,  // 2
+		-1.0, // 3
+		-3.0, // 3
+		2.0,  // 4
+		1.0   // 4
+	]);
+	wbuf = new Complex64Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0, // 2
+		0.0, // 3
+		0.0, // 3
+		0.0, // 4
+		0.0  // 4
+	]);
+	x = vector( xbuf, 5, 1, 0 );
+	w = vector( wbuf, 5, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array([
+		-7.0,  // 0
+		5.0,   // 0
+		18.0,  // 1
+		-25.0, // 1
+		23.0,  // 2
+		0.0,   // 2
+		-2.0,  // 3
+		-15.0, // 3
+		13.0,  // 4
+		5.0    // 4
+	]);
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function copies the input ndarray to the output ndarray when alpha is one and beta is zero', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var beta;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0, // 1
+		4.0,  // 2
+		0.0,  // 2
+		-1.0, // 3
+		-3.0, // 3
+		2.0,  // 4
+		1.0   // 4
+	]);
+	wbuf = new Complex64Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0, // 2
+		0.0, // 3
+		0.0, // 3
+		0.0, // 4
+		0.0  // 4
+	]);
+	x = vector( xbuf, 5, 1, 0 );
+	w = vector( wbuf, 5, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0, // 1
+		4.0,  // 2
+		0.0,  // 2
+		-1.0, // 3
+		-3.0, // 3
+		2.0,  // 4
+		1.0   // 4
+	]);
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function adds a scalar constant to each element when alpha is one', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var beta;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0, // 1
+		4.0,  // 2
+		0.0,  // 2
+		-1.0, // 3
+		-3.0, // 3
+		2.0,  // 4
+		1.0   // 4
+	]);
+	wbuf = new Complex64Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0, // 2
+		0.0, // 3
+		0.0, // 3
+		0.0, // 4
+		0.0  // 4
+	]);
+	x = vector( xbuf, 5, 1, 0 );
+	w = vector( wbuf, 5, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array([
+		1.0,  // 0
+		1.0,  // 0
+		6.0,  // 1
+		-5.0, // 1
+		7.0,  // 2
+		0.0,  // 2
+		2.0,  // 3
+		-3.0, // 3
+		5.0,  // 4
+		1.0   // 4
+	]);
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function multiplies each element by a scalar constant when beta is zero', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var beta;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0, // 1
+		4.0,  // 2
+		0.0,  // 2
+		-1.0, // 3
+		-3.0, // 3
+		2.0,  // 4
+		1.0   // 4
+	]);
+	wbuf = new Complex64Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0, // 2
+		0.0, // 3
+		0.0, // 3
+		0.0, // 4
+		0.0  // 4
+	]);
+	x = vector( xbuf, 5, 1, 0 );
+	w = vector( wbuf, 5, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array([
+		-10.0, // 0
+		5.0,   // 0
+		15.0,  // 1
+		-25.0, // 1
+		20.0,  // 2
+		0.0,   // 2
+		-5.0,  // 3
+		-15.0, // 3
+		10.0,  // 4
+		5.0    // 4
+	]);
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, '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 alpha;
+	var beta;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array([
+		-2.0, // 0
+		1.0,  // 0
+		0.0,
+		0.0,
+		4.0,  // 1
+		0.0,  // 1
+		0.0,
+		0.0
+	]);
+	wbuf = new Complex64Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0  // 1
+	]);
+	x = vector( xbuf, 2, 2, 0 );
+	w = vector( wbuf, 2, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array([
+		-7.0, // 0
+		5.0,  // 0
+		23.0, // 1
+		0.0   // 1
+	]);
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+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 wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array([
+		-2.0, // 4
+		1.0,  // 4
+		3.0,  // 3
+		-5.0, // 3
+		4.0,  // 2
+		0.0,  // 2
+		-1.0, // 1
+		-3.0, // 1
+		2.0,  // 0
+		1.0   // 0
+	]);
+	wbuf = new Complex64Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0, // 2
+		0.0, // 3
+		0.0, // 3
+		0.0, // 4
+		0.0  // 4
+	]);
+	x = vector( xbuf, 5, -1, 4 );
+	w = vector( wbuf, 5, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array([
+		13.0,  // 0
+		5.0,   // 0
+		-2.0,  // 1
+		-15.0, // 1
+		23.0,  // 2
+		0.0,   // 2
+		18.0,  // 3
+		-25.0, // 3
+		-7.0,  // 4
+		5.0    // 4
+	]);
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an output ndarray having a non-unit stride', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var beta;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0  // 1
+	]);
+	wbuf = new Complex64Array([
+		0.0, // 0
+		0.0, // 0
+		0.0,
+		0.0,
+		0.0, // 1
+		0.0, // 1
+		0.0,
+		0.0
+	]);
+	x = vector( xbuf, 2, 1, 0 );
+	w = vector( wbuf, 2, 2, 0 );
+	alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array([
+		-7.0,  // 0
+		5.0,   // 0
+		0.0,
+		0.0,
+		18.0,  // 1
+		-25.0, // 1
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an output ndarray having a negative stride', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var beta;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0, // 1
+		4.0,  // 2
+		0.0   // 2
+	]);
+	wbuf = new Complex64Array([
+		0.0, // 2
+		0.0, // 2
+		0.0, // 1
+		0.0, // 1
+		0.0, // 0
+		0.0  // 0
+	]);
+	x = vector( xbuf, 3, 1, 0 );
+	w = vector( wbuf, 3, -1, 2 );
+	alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array([
+		23.0,  // 2
+		0.0,   // 2
+		18.0,  // 1
+		-25.0, // 1
+		-7.0,  // 0
+		5.0    // 0
+	]);
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, '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 alpha;
+	var beta;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		3.0,  // 0
+		-5.0, // 0
+		4.0,  // 1
+		0.0,  // 1
+		-1.0, // 2
+		-3.0  // 2
+	]);
+	wbuf = new Complex64Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0  // 2
+	]);
+	x = vector( xbuf, 3, 1, 2 );
+	w = vector( wbuf, 3, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array([
+		18.0,  // 0
+		-25.0, // 0
+		23.0,  // 1
+		0.0,   // 1
+		-2.0,  // 2
+		-15.0  // 2
+	]);
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an output ndarray having a non-zero offset', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var beta;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0, // 1
+		4.0,  // 2
+		0.0   // 2
+	]);
+	wbuf = new Complex64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0  // 2
+	]);
+	x = vector( xbuf, 3, 1, 0 );
+	w = vector( wbuf, 3, 1, 2 );
+	alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		-7.0,  // 0
+		5.0,   // 0
+		18.0,  // 1
+		-25.0, // 1
+		23.0,  // 2
+		0.0    // 2
+	]);
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns the output ndarray unchanged when the input ndarray is empty', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var beta;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex64Array( [] );
+	wbuf = new Complex64Array( [] );
+	x = vector( xbuf, 0, 1, 0 );
+	w = vector( wbuf, 0, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+
+	actual = cwaxpb( [ x, w, alpha, beta ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex64Array( [] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});