From bd58519b3bbb96cf0edecaf5601f57f772f02b72 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sun, 4 Oct 2026 21:29:45 +0500
Subject: [PATCH 1/2] feat: add blas/ext/base/ndarray/cfill-nan

---
 .../blas/ext/base/ndarray/cfill-nan/README.md | 150 +++++
 .../ndarray/cfill-nan/benchmark/benchmark.js  | 131 +++++
 .../ext/base/ndarray/cfill-nan/docs/repl.txt  |  43 ++
 .../ndarray/cfill-nan/docs/types/index.d.ts   |  70 +++
 .../base/ndarray/cfill-nan/docs/types/test.ts |  77 +++
 .../base/ndarray/cfill-nan/examples/index.js  |  52 ++
 .../ext/base/ndarray/cfill-nan/lib/index.js   |  57 ++
 .../ext/base/ndarray/cfill-nan/lib/main.js    | 101 ++++
 .../ext/base/ndarray/cfill-nan/package.json   |  73 +++
 .../ext/base/ndarray/cfill-nan/test/test.js   | 535 ++++++++++++++++++
 10 files changed, 1289 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/README.md
new file mode 100644
index 000000000000..a57c55847044
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/README.md
@@ -0,0 +1,150 @@
+<!--
+
+@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.
+
+-->
+
+# cfillNaN
+
+> Replace elements in a one-dimensional single-precision complex floating-point ndarray equal to `NaN` with a specified scalar constant.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var cfillNaN = require( '@stdlib/blas/ext/base/ndarray/cfill-nan' );
+```
+
+#### cfillNaN( arrays )
+
+Replaces elements in a one-dimensional single-precision complex floating-point ndarray equal to `NaN` with a specified scalar constant.
+
+```javascript
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+
+var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+
+var alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+    'dtype': 'complex64'
+});
+
+var start = scalar2ndarray( 0, {
+    'dtype': 'generic'
+});
+
+var end = scalar2ndarray( 2, {
+    'dtype': 'generic'
+});
+
+cfillNaN( [ x, alpha, start, end ] );
+// x => <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ NaN, NaN ], <Complex64>[ 4.0, -6.0 ] ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a zero-dimensional ndarray containing the scalar constant.
+    -   a zero-dimensional ndarray containing the starting index (inclusive).
+    -   a zero-dimensional ndarray containing the ending index (exclusive).
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The input ndarray is modified **in-place** (i.e., the input ndarray is **mutated**).
+-   If a specified `start` or `end` index is negative, the function resolves the respective index by counting backward from the last element (where `-1` refers to the last element).
+-   A complex number is considered `NaN` if either the real or imaginary component is `NaN`.
+
+</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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var cfillNaN = require( '@stdlib/blas/ext/base/ndarray/cfill-nan' );
+
+var opts = {
+    'dtype': 'float32'
+};
+
+var x = new Complex64Vector( discreteUniform( 20, 0, 2, opts ) );
+console.log( ndarray2array( x ) );
+
+var alpha = scalar2ndarray( new Complex64( 5.0, 5.0 ), {
+    'dtype': 'complex64'
+});
+console.log( 'Alpha:', ndarraylike2scalar( alpha ) );
+
+var start = scalar2ndarray( 5, {
+    'dtype': 'generic'
+});
+console.log( 'Start Index:', ndarraylike2scalar( start ) );
+
+var end = scalar2ndarray( 15, {
+    'dtype': 'generic'
+});
+console.log( 'End Index:', ndarraylike2scalar( end ) );
+
+cfillNaN( [ x, alpha, start, end ] );
+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/cfill-nan/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/benchmark/benchmark.js
new file mode 100644
index 000000000000..40af26e8f362
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/benchmark/benchmark.js
@@ -0,0 +1,131 @@
+/**
+* @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 cfillNaN = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+	var i;
+
+	xbuf = uniform( len*2, -100.0, 100.0, options );
+	for ( i = 0; i < len*2; i += 6 ) {
+		xbuf[ i ] = NaN;
+		xbuf[ i+1 ] = NaN;
+	}
+	x = new Complex64Vector( xbuf.buffer );
+	alpha = [
+		scalar2ndarray( new Complex64( 1.0, 1.0 ), {
+			'dtype': 'complex64'
+		}),
+		scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+			'dtype': 'complex64'
+		})
+	];
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( len, {
+		'dtype': 'generic'
+	});
+	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 = cfillNaN( [ x, alpha[ i%2 ], start, end ] );
+			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/cfill-nan/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/repl.txt
new file mode 100644
index 000000000000..c63206805277
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/repl.txt
@@ -0,0 +1,43 @@
+
+{{alias}}( arrays )
+    Replaces elements in a one-dimensional single-precision complex floating-
+    point ndarray equal to `NaN` with a specified scalar constant.
+
+    The input ndarray is modified *in-place* (i.e., the input ndarray is
+    *mutated*).
+
+    If a specified `start` or `end` index is negative, the function resolves
+    the respective index by counting backward from the last element (where `-1`
+    refers to the last element).
+
+    A complex number is considered `NaN` if either the real or imaginary
+    component is `NaN`.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a zero-dimensional ndarray containing the scalar constant.
+        - a zero-dimensional ndarray containing the starting index (inclusive).
+        - a zero-dimensional ndarray containing the ending index (exclusive).
+
+    Returns
+    -------
+    out: ndarray
+        Input ndarray.
+
+    Examples
+    --------
+    > var x = new {{alias:@stdlib/ndarray/vector/complex64}}( [ NaN, NaN, -2.0, 3.0 ] );
+    > var a = new {{alias:@stdlib/complex/float32/ctor}}( 0.0, 0.0 );
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( a, { 'dtype': 'complex64' } );
+    > var st = {{alias:@stdlib/ndarray/from-scalar}}( 0, { 'dtype': 'generic' } );
+    > var en = {{alias:@stdlib/ndarray/from-scalar}}( 2, { 'dtype': 'generic' } );
+    > {{alias}}( [ x, alpha, st, en ] )
+    <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ] ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/index.d.ts
new file mode 100644
index 000000000000..110074ae2043
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/index.d.ts
@@ -0,0 +1,70 @@
+/*
+* @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';
+
+/**
+* Replaces elements in a one-dimensional single-precision complex floating-point ndarray equal to `NaN` with a specified scalar constant.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant.
+*     -   a zero-dimensional ndarray containing the starting index (inclusive).
+*     -   a zero-dimensional ndarray containing the ending index (exclusive).
+*
+* -   A complex number is considered `NaN` if either the real or imaginary component is `NaN`.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns input ndarray
+*
+* @example
+* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+*
+* var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+*
+* var alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var start = scalar2ndarray( 0, {
+*     'dtype': 'generic'
+* });
+*
+* var end = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var out = cfillNaN( [ x, alpha, start, end ] );
+* // returns <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ NaN, NaN ], <Complex64>[ 4.0, -6.0 ] ]
+*/
+declare function cfillNaN( arrays: [ complex64ndarray, typedndarray<Complex64>, typedndarray<number>, typedndarray<number> ] ): complex64ndarray;
+
+
+// EXPORTS //
+
+export = cfillNaN;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/test.ts
new file mode 100644
index 000000000000..92172d5c5f9e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/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 cfillNaN = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'complex64'
+	});
+	const alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	const start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	const end = scalar2ndarray( 10, {
+		'dtype': 'generic'
+	});
+
+	cfillNaN( [ x, alpha, start, end ] ); // $ExpectType complex64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	cfillNaN( '10' ); // $ExpectError
+	cfillNaN( 5 ); // $ExpectError
+	cfillNaN( true ); // $ExpectError
+	cfillNaN( false ); // $ExpectError
+	cfillNaN( null ); // $ExpectError
+	cfillNaN( undefined ); // $ExpectError
+	cfillNaN( [] ); // $ExpectError
+	cfillNaN( {} ); // $ExpectError
+	cfillNaN( ( 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 alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	const start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	const end = scalar2ndarray( 10, {
+		'dtype': 'generic'
+	});
+
+	cfillNaN(); // $ExpectError
+	cfillNaN( [ x, alpha, start, end ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/examples/index.js
new file mode 100644
index 000000000000..a75f8116bc48
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/examples/index.js
@@ -0,0 +1,52 @@
+/**
+* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var cfillNaN = require( './../lib' );
+
+var opts = {
+	'dtype': 'float32'
+};
+
+var x = new Complex64Vector( discreteUniform( 20, 0, 2, opts ) );
+console.log( ndarray2array( x ) );
+
+var alpha = scalar2ndarray( new Complex64( 5.0, 5.0 ), {
+	'dtype': 'complex64'
+});
+console.log( 'Alpha:', ndarraylike2scalar( alpha ) );
+
+var start = scalar2ndarray( 5, {
+	'dtype': 'generic'
+});
+console.log( 'Start Index:', ndarraylike2scalar( start ) );
+
+var end = scalar2ndarray( 15, {
+	'dtype': 'generic'
+});
+console.log( 'End Index:', ndarraylike2scalar( end ) );
+
+cfillNaN( [ x, alpha, start, end ] );
+console.log( ndarray2array( x ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/index.js
new file mode 100644
index 000000000000..16a97f624590
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/index.js
@@ -0,0 +1,57 @@
+/**
+* @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';
+
+/**
+* Replace elements in a one-dimensional single-precision complex floating-point ndarray equal to `NaN` with a specified scalar constant.
+*
+* @module @stdlib/blas/ext/base/ndarray/cfill-nan
+*
+* @example
+* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var cfillNaN = require( '@stdlib/blas/ext/base/ndarray/cfill-nan' );
+*
+* var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+*
+* var alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var start = scalar2ndarray( 0, {
+*     'dtype': 'generic'
+* });
+*
+* var end = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var out = cfillNaN( [ x, alpha, start, end ] );
+* // returns <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ NaN, NaN ], <Complex64>[ 4.0, -6.0 ] ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/main.js
new file mode 100644
index 000000000000..b415d3c3a8da
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/main.js
@@ -0,0 +1,101 @@
+/**
+* @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 clipIndex = require( '@stdlib/ndarray/base/clip-index' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var strided = require( '@stdlib/blas/ext/base/cfill-nan' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Replaces elements in a one-dimensional single-precision complex floating-point ndarray equal to `NaN` with a specified scalar constant.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant.
+*     -   a zero-dimensional ndarray containing the starting index (inclusive).
+*     -   a zero-dimensional ndarray containing the ending index (exclusive).
+*
+* -   A complex number is considered `NaN` if either the real or imaginary component is `NaN`.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {ndarray} input ndarray
+*
+* @example
+* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+*
+* var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+*
+* var alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var start = scalar2ndarray( 0, {
+*     'dtype': 'generic'
+* });
+*
+* var end = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var out = cfillNaN( [ x, alpha, start, end ] );
+* // returns <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ NaN, NaN ], <Complex64>[ 4.0, -6.0 ] ]
+*/
+function cfillNaN( arrays ) {
+	var stride;
+	var offset;
+	var alpha;
+	var start;
+	var end;
+	var N;
+	var x;
+
+	x = arrays[ 0 ];
+	alpha = ndarraylike2scalar( arrays[ 1 ] );
+
+	N = numelDimension( x, 0 );
+	start = clipIndex( ndarraylike2scalar( arrays[ 2 ] ), N );
+	end = clipIndex( ndarraylike2scalar( arrays[ 3 ] ), N );
+	if ( start >= end ) {
+		return x;
+	}
+	stride = getStride( x, 0 );
+	offset = getOffset( x ) + ( stride*start );
+
+	strided( end-start, alpha, getData( x ), stride, offset );
+	return x;
+}
+
+
+// EXPORTS //
+
+module.exports = cfillNaN;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/package.json
new file mode 100644
index 000000000000..cfe5de2ac6e0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/package.json
@@ -0,0 +1,73 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/cfill-nan",
+  "version": "0.0.0",
+  "description": "Replace elements in a one-dimensional single-precision complex floating-point ndarray equal to NaN with a specified scalar constant.",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdmath",
+    "mathematics",
+    "math",
+    "blas",
+    "extended",
+    "ext",
+    "fill",
+    "nan",
+    "not-a-number",
+    "replace",
+    "assign",
+    "set",
+    "strided",
+    "array",
+    "ndarray",
+    "complex64",
+    "complex",
+    "single"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/test/test.js
new file mode 100644
index 000000000000..a24d01eee4ee
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/test/test.js
@@ -0,0 +1,535 @@
+/**
+* @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 cfillNaN = 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 cfillNaN, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function replaces elements equal to `NaN`', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	x = vector( xbuf, 4, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 4, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ 0.0, 0.0, -2.0, 3.0, 0.0, 0.0, 4.0, -6.0 ] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function replaces elements where only the real component is `NaN`', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, 1.0, -2.0, 3.0, NaN, 4.0, 5.0, -6.0 ] );
+	x = vector( xbuf, 4, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 4, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ 0.0, 0.0, -2.0, 3.0, 0.0, 0.0, 5.0, -6.0 ] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function replaces elements where only the imaginary component is `NaN`', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ 1.0, NaN, -2.0, 3.0, 4.0, NaN, 5.0, -6.0 ] );
+	x = vector( xbuf, 4, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 4, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ 0.0, 0.0, -2.0, 3.0, 0.0, 0.0, 5.0, -6.0 ] );
+	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 start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, 1.0, 2.0, 3.0, 4.0, NaN, NaN ] );
+	x = vector( xbuf, 2, 2, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, NaN, NaN ] );
+	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 start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, 1.0, 2.0, 3.0, 4.0, NaN, NaN ] );
+	x = vector( xbuf, 2, -2, 2 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, NaN, NaN ] );
+	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 start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	x = vector( xbuf, 2, 1, 2 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ NaN, NaN, -2.0, 3.0, 0.0, 0.0, 4.0, -6.0 ] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports a nonnegative starting index', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	x = vector( xbuf, 4, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 4, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ NaN, NaN, -2.0, 3.0, 0.0, 0.0, 4.0, -6.0 ] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports a negative starting index', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	x = vector( xbuf, 4, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( -2, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 4, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ NaN, NaN, -2.0, 3.0, 0.0, 0.0, 4.0, -6.0 ] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports a nonnegative ending index', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	x = vector( xbuf, 4, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ 0.0, 0.0, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports a negative ending index', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	x = vector( xbuf, 4, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( -2, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ 0.0, 0.0, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function clamps out-of-bounds starting and ending indices', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	x = vector( xbuf, 4, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( -10, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 10, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ 0.0, 0.0, -2.0, 3.0, 0.0, 0.0, 4.0, -6.0 ] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if a resolved starting index is greater than or equal to a resolved ending index, the function returns the input ndarray unchanged', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	x = vector( xbuf, 4, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	expected = new Complex64Array( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+
+	start = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	start = scalar2ndarray( 3, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	start = scalar2ndarray( 5, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 4, {
+		'dtype': 'generic'
+	});
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( -10, {
+		'dtype': 'generic'
+	});
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports specifying a fill range for an input ndarray having a non-unit stride', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+	x = vector( xbuf, 2, 2, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ NaN, NaN, -2.0, 3.0, 0.0, 0.0, 4.0, -6.0 ] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if none of the elements are equal to `NaN`, the function returns the input ndarray unchanged', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	x = vector( xbuf, 2, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, '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 alpha;
+	var start;
+	var xbuf;
+	var end;
+	var x;
+
+	xbuf = new Complex64Array( [] );
+	x = vector( xbuf, 0, 1, 0 );
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
+	start = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	end = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+
+	actual = cfillNaN( [ x, alpha, start, end ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = new Complex64Array( [] );
+	t.strictEqual( isSameComplex64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});

From c3cfe1bf4f202169124ff8b13eb5d4a3855644d2 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Mon, 5 Oct 2026 13:13:48 +0500
Subject: [PATCH 2/2] fix: apply suggestions from code review

---
 .../blas/ext/base/ndarray/cfill-nan/README.md     | 15 ++++++---------
 .../base/ndarray/cfill-nan/benchmark/benchmark.js | 13 ++++---------
 .../blas/ext/base/ndarray/cfill-nan/docs/repl.txt |  5 ++---
 .../base/ndarray/cfill-nan/docs/types/index.d.ts  |  4 ++--
 .../ext/base/ndarray/cfill-nan/examples/index.js  | 11 ++++-------
 .../blas/ext/base/ndarray/cfill-nan/lib/index.js  |  4 ++--
 .../blas/ext/base/ndarray/cfill-nan/lib/main.js   |  4 ++--
 7 files changed, 22 insertions(+), 34 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/README.md
index a57c55847044..ff73244889f2 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/README.md
@@ -45,7 +45,7 @@ var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var Complex64 = require( '@stdlib/complex/float32/ctor' );
 
-var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, 4.0, 5.0, 4.0, -6.0 ] );
 
 var alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
     'dtype': 'complex64'
@@ -60,7 +60,7 @@ var end = scalar2ndarray( 2, {
 });
 
 cfillNaN( [ x, alpha, start, end ] );
-// x => <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ NaN, NaN ], <Complex64>[ 4.0, -6.0 ] ]
+// x => <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ 4.0, 5.0 ], <Complex64>[ 4.0, -6.0 ] ]
 ```
 
 The function has the following parameters:
@@ -95,8 +95,7 @@ The function has the following parameters:
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var nans = require( '@stdlib/ndarray/nans' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
@@ -104,15 +103,13 @@ var Complex64 = require( '@stdlib/complex/float32/ctor' );
 var cfillNaN = require( '@stdlib/blas/ext/base/ndarray/cfill-nan' );
 
 var opts = {
-    'dtype': 'float32'
+    'dtype': 'complex64'
 };
 
-var x = new Complex64Vector( discreteUniform( 20, 0, 2, opts ) );
+var x = nans( [ 20 ], opts );
 console.log( ndarray2array( x ) );
 
-var alpha = scalar2ndarray( new Complex64( 5.0, 5.0 ), {
-    'dtype': 'complex64'
-});
+var alpha = scalar2ndarray( new Complex64( 5.0, 5.0 ), opts );
 console.log( 'Alpha:', ndarraylike2scalar( alpha ) );
 
 var start = scalar2ndarray( 5, {
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/benchmark/benchmark.js
index 40af26e8f362..f966dff15134 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/benchmark/benchmark.js
@@ -61,14 +61,9 @@ function createBenchmark( len ) {
 		xbuf[ i+1 ] = NaN;
 	}
 	x = new Complex64Vector( xbuf.buffer );
-	alpha = [
-		scalar2ndarray( new Complex64( 1.0, 1.0 ), {
-			'dtype': 'complex64'
-		}),
-		scalar2ndarray( new Complex64( 0.0, 0.0 ), {
-			'dtype': 'complex64'
-		})
-	];
+	alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+		'dtype': 'complex64'
+	});
 	start = scalar2ndarray( 0, {
 		'dtype': 'generic'
 	});
@@ -89,7 +84,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = cfillNaN( [ x, alpha[ i%2 ], start, end ] );
+			out = cfillNaN( [ x, alpha, start, end ] );
 			if ( typeof out !== 'object' ) {
 				b.fail( 'should return an ndarray' );
 			}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/repl.txt
index c63206805277..f4fa3ec3cf83 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/repl.txt
@@ -6,8 +6,8 @@
     The input ndarray is modified *in-place* (i.e., the input ndarray is
     *mutated*).
 
-    If a specified `start` or `end` index is negative, the function resolves
-    the respective index by counting backward from the last element (where `-1`
+    If a specified `start` or `end` index is negative, the function resolves the
+    respective index by counting backward from the last element (where `-1`
     refers to the last element).
 
     A complex number is considered `NaN` if either the real or imaginary
@@ -40,4 +40,3 @@
 
     See Also
     --------
-
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/index.d.ts
index 110074ae2043..d6bc77ec4936 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/docs/types/index.d.ts
@@ -45,7 +45,7 @@ import { Complex64 } from '@stdlib/types/complex';
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 * var Complex64 = require( '@stdlib/complex/float32/ctor' );
 *
-* var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+* var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, 4.0, 5.0, 4.0, -6.0 ] );
 *
 * var alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
 *     'dtype': 'complex64'
@@ -60,7 +60,7 @@ import { Complex64 } from '@stdlib/types/complex';
 * });
 *
 * var out = cfillNaN( [ x, alpha, start, end ] );
-* // returns <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ NaN, NaN ], <Complex64>[ 4.0, -6.0 ] ]
+* // returns <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ 4.0, 5.0 ], <Complex64>[ 4.0, -6.0 ] ]
 */
 declare function cfillNaN( arrays: [ complex64ndarray, typedndarray<Complex64>, typedndarray<number>, typedndarray<number> ] ): complex64ndarray;
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/examples/index.js
index a75f8116bc48..1c35dd652a9b 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/examples/index.js
@@ -18,8 +18,7 @@
 
 'use strict';
 
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var nans = require( '@stdlib/ndarray/nans' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
@@ -27,15 +26,13 @@ var Complex64 = require( '@stdlib/complex/float32/ctor' );
 var cfillNaN = require( './../lib' );
 
 var opts = {
-	'dtype': 'float32'
+	'dtype': 'complex64'
 };
 
-var x = new Complex64Vector( discreteUniform( 20, 0, 2, opts ) );
+var x = nans( [ 20 ], opts );
 console.log( ndarray2array( x ) );
 
-var alpha = scalar2ndarray( new Complex64( 5.0, 5.0 ), {
-	'dtype': 'complex64'
-});
+var alpha = scalar2ndarray( new Complex64( 5.0, 5.0 ), opts );
 console.log( 'Alpha:', ndarraylike2scalar( alpha ) );
 
 var start = scalar2ndarray( 5, {
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/index.js
index 16a97f624590..e326004545a4 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/index.js
@@ -29,7 +29,7 @@
 * var Complex64 = require( '@stdlib/complex/float32/ctor' );
 * var cfillNaN = require( '@stdlib/blas/ext/base/ndarray/cfill-nan' );
 *
-* var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+* var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, 4.0, 5.0, 4.0, -6.0 ] );
 *
 * var alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
 *     'dtype': 'complex64'
@@ -44,7 +44,7 @@
 * });
 *
 * var out = cfillNaN( [ x, alpha, start, end ] );
-* // returns <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ NaN, NaN ], <Complex64>[ 4.0, -6.0 ] ]
+* // returns <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ 4.0, 5.0 ], <Complex64>[ 4.0, -6.0 ] ]
 */
 
 // MODULES //
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/main.js
index b415d3c3a8da..e0ecb4bfb136 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-nan/lib/main.js
@@ -53,7 +53,7 @@ var strided = require( '@stdlib/blas/ext/base/cfill-nan' ).ndarray;
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 * var Complex64 = require( '@stdlib/complex/float32/ctor' );
 *
-* var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, NaN, NaN, 4.0, -6.0 ] );
+* var x = new Complex64Vector( [ NaN, NaN, -2.0, 3.0, 4.0, 5.0, 4.0, -6.0 ] );
 *
 * var alpha = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
 *     'dtype': 'complex64'
@@ -68,7 +68,7 @@ var strided = require( '@stdlib/blas/ext/base/cfill-nan' ).ndarray;
 * });
 *
 * var out = cfillNaN( [ x, alpha, start, end ] );
-* // returns <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ NaN, NaN ], <Complex64>[ 4.0, -6.0 ] ]
+* // returns <ndarray>[ <Complex64>[ 0.0, 0.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ 4.0, 5.0 ], <Complex64>[ 4.0, -6.0 ] ]
 */
 function cfillNaN( arrays ) {
 	var stride;