From 067e428451925ef8ecd092aff87a679c841ccc99 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sun, 7 Dec 2025 09:28:34 +0530
Subject: [PATCH 1/9] feat: add blas/ext/base/ndarray/zsumkbn

---
 .../blas/ext/base/ndarray/zsumkbn/README.md   | 129 ++++++++++++
 .../ndarray/zsumkbn/benchmark/benchmark.js    | 107 ++++++++++
 .../ext/base/ndarray/zsumkbn/docs/repl.txt    |  32 +++
 .../ndarray/zsumkbn/docs/types/index.d.ts     |  47 +++++
 .../base/ndarray/zsumkbn/docs/types/test.ts   |  57 +++++
 .../base/ndarray/zsumkbn/examples/index.js    |  36 ++++
 .../ext/base/ndarray/zsumkbn/lib/index.js     |  45 ++++
 .../blas/ext/base/ndarray/zsumkbn/lib/main.js |  56 +++++
 .../ext/base/ndarray/zsumkbn/package.json     |  71 +++++++
 .../ext/base/ndarray/zsumkbn/test/test.js     | 199 ++++++++++++++++++
 10 files changed, 779 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md
new file mode 100644
index 000000000000..e0ef43b27a43
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md
@@ -0,0 +1,129 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2025 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# zsumkbn
+
+> Compute the sum of all elements in a one-dimensional double-precision complex
+floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var zsumkbn = require( '@stdlib/blas/ext/base/ndarray/zsumkbn' );
+```
+
+#### zsumkbn( arrays )
+
+Computes the sum of all elements in a one-dimensional double-precision complex
+floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+```javascript
+var Complex128Array = require( '@stdlib/array/complex128' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Complex128Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+var x = new ndarray( 'complex128', xbuf, [ 2 ], [ 1 ], 0, 'row-major' );
+
+var v = zsumkbn( [ x ] );
+// returns <Complex128>[ 5.0, 5.0 ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing a one-dimensional input ndarray.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If provided an empty one-dimensional ndarray, the function returns `0.0 + 0.0i`.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zsumkbn = require( '@stdlib/blas/ext/base/ndarray/zsumkbn' );
+
+var xbuf = discreteUniform( 10, -50, 50, {
+    'dtype': 'float64'
+});
+xbuf = new Complex128Array( xbuf );
+
+var x = new ndarray( 'complex128', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = zsumkbn( [ x ] );
+console.log( v );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<section class="references">
+
+## References
+
+-   Neumaier, Arnold. 1974. "Rounding Error Analysis of Some Methods for Summing Finite Sums." _Zeitschrift Für Angewandte Mathematik Und Mechanik_ 54 (1): 39–51. doi:[10.1002/zamm.19740540106][@neumaier:1974a].
+
+</section>
+
+<!-- /.references -->
+
+<!-- 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">
+
+[@neumaier:1974a]: https://doi.org/10.1002/zamm.19740540106
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
new file mode 100644
index 000000000000..35ba82cc5d1b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
@@ -0,0 +1,107 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var pkg = require( './../package.json' ).name;
+var zsumkbn = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'complex128'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark(len) {
+	var xbuf;
+	var x;
+
+	xbuf = uniform(len * 2, -10.0, 10.0, {
+		'dtype': 'float64'
+	});
+	x = new ndarray(options.dtype, new Complex128Array(xbuf), [len], [1], 0, 'row-major');
+
+	return benchmark;
+
+	function benchmark(b) {
+		var v;
+		var i;
+
+		b.tic();
+		for (i = 0; i < b.iterations; i++) {
+			v = zsumkbn([x]);
+			if (isnan(real(v))) {
+				b.fail('should not return NaN');
+			}
+		}
+		b.toc();
+		if (isnan(imag(v))) {
+			b.fail('should not return NaN');
+		}
+		b.pass('benchmark finished');
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for (i = min; i <= max; i++) {
+		len = pow(10, i);
+		f = createBenchmark(len);
+		bench(pkg + ':len=' + len, f);
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt
new file mode 100644
index 000000000000..805cd283a867
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt
@@ -0,0 +1,32 @@
+
+{{alias}}( arrays )
+    Computes the sum of all elements in a one-dimensional double-precision
+    complex floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+    If provided an empty ndarray, the function returns `0.0 + 0.0i`.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing a one-dimensional input ndarray.
+
+    Returns
+    -------
+    out: Complex128
+        Sum.
+
+    Examples
+    --------
+    > var xbuf = new {{alias:@stdlib/array/complex128}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+    > var dt = 'complex128';
+    > var sh = [ xbuf.length ];
+    > var sx = [ 1 ];
+    > var ox = 0;
+    > var ord = 'row-major';
+    > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord );
+    > {{alias}}( [ x ] )
+    <Complex128>[ 4.0, 6.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts
new file mode 100644
index 000000000000..8a436a5999fe
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts
@@ -0,0 +1,47 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { complex128ndarray } from '@stdlib/types/ndarray';
+import { Complex128 } from '@stdlib/types/complex';
+
+/**
+* Computes the sum of all elements in a one-dimensional double-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.
+*
+* @param arrays - array-like object containing an input ndarray
+* @returns sum
+*
+* @example
+* var Complex128Array = require( '@stdlib/array/complex128' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Complex128Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'complex128', xbuf, [ 2 ], [ 1 ], 0, 'row-major' );
+*
+* var v = zsumkbn( [ x ] );
+* // returns <Complex128>[ 5.0, 5.0 ]
+*/
+declare function zsumkbn(arrays: [complex128ndarray]): Complex128;
+
+
+// EXPORTS //
+
+export = zsumkbn;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
new file mode 100644
index 000000000000..f76175ef25a3
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
@@ -0,0 +1,57 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import zsumkbn = require( './index' );
+
+
+// TESTS //
+
+// The function returns a complex number...
+{
+	const x = zeros([10], {
+		'dtype': 'complex128'
+	});
+
+	zsumkbn([x]); // $ExpectType Complex128
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	zsumkbn('10'); // $ExpectError
+	zsumkbn(10); // $ExpectError
+	zsumkbn(true); // $ExpectError
+	zsumkbn(false); // $ExpectError
+	zsumkbn(null); // $ExpectError
+	zsumkbn(undefined); // $ExpectError
+	zsumkbn([]); // $ExpectError
+	zsumkbn({}); // $ExpectError
+	zsumkbn((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': 'complex128'
+	});
+
+	zsumkbn(); // $ExpectError
+	zsumkbn([x], {}); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
new file mode 100644
index 000000000000..0e19d7efdd10
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
@@ -0,0 +1,36 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zsumkbn = require( './../lib' );
+
+var xbuf = discreteUniform(10, -50, 50, {
+	'dtype': 'float64'
+});
+xbuf = new Complex128Array(xbuf);
+
+var x = new ndarray('complex128', xbuf, [xbuf.length], [1], 0, 'row-major');
+console.log(ndarray2array(x));
+
+var v = zsumkbn([x]);
+console.log(v);
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/index.js
new file mode 100644
index 000000000000..c25cbefd4bb8
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/index.js
@@ -0,0 +1,45 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.
+*
+* @module @stdlib/blas/ext/base/ndarray/zsumkbn
+*
+* @example
+* var Complex128Array = require( '@stdlib/array/complex128' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var zsumkbn = require( '@stdlib/blas/ext/base/ndarray/zsumkbn' );
+*
+* var xbuf = new Complex128Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'complex128', xbuf, [ 2 ], [ 1 ], 0, 'row-major' );
+*
+* var v = zsumkbn( [ x ] );
+* // returns <Complex128>[ 5.0, 5.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js
new file mode 100644
index 000000000000..75e7c9a6060d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js
@@ -0,0 +1,56 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var 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/zsumkbn' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the sum of all elements in a one-dimensional double-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray
+* @returns {Complex128} sum
+*
+* @example
+* var Complex128Array = require( '@stdlib/array/complex128' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Complex128Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'complex128', xbuf, [ 2 ], [ 1 ], 0, 'row-major' );
+*
+* var v = zsumkbn( [ x ] );
+* // returns <Complex128>[ 5.0, 5.0 ]
+*/
+function zsumkbn(arrays) {
+	var x = arrays[0];
+	return strided(numelDimension(x, 0), getData(x), getStride(x, 0), getOffset(x)); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = zsumkbn;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/package.json
new file mode 100644
index 000000000000..f7b0f35d5303
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/package.json
@@ -0,0 +1,71 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/zsumkbn",
+  "version": "0.0.0",
+  "description": "Compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.",
+  "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",
+    "statistics",
+    "stats",
+    "mathematics",
+    "math",
+    "blas",
+    "extended",
+    "sum",
+    "total",
+    "summation",
+    "compensated",
+    "kahan",
+    "kbn",
+    "complex128",
+    "complex",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
new file mode 100644
index 000000000000..de17a9ddee32
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
@@ -0,0 +1,199 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isSameComplex128 = require( '@stdlib/assert/is-same-complex128' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var zsumkbn = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Complex128Array} 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('complex128', buffer, [length], [stride], offset, 'row-major');
+}
+
+
+// TESTS //
+
+tape('main export is a function', function test(t) {
+	t.ok(true, __filename);
+	t.strictEqual(typeof zsumkbn, 'function', 'main export is a function');
+	t.end();
+});
+
+tape('the function has an arity of 1', function test(t) {
+	t.strictEqual(zsumkbn.length, 1, 'has expected arity');
+	t.end();
+});
+
+tape('the function computes the sum of all elements in a one-dimensional ndarray using an improved Kahan–Babuška algorithm', function test(t) {
+	var x;
+	var v;
+
+	x = new Complex128Array([1.0, -2.0, -4.0, 5.0, 0.0, 3.0]);
+	v = zsumkbn([vector(x, 3, 1, 0)]);
+	t.strictEqual(isSameComplex128(v, new Complex128(-3.0, 6.0)), true, 'returns expected value');
+
+	x = new Complex128Array([-4.0, -5.0, -4.0, -5.0]);
+	v = zsumkbn([vector(x, 2, 1, 0)]);
+	t.strictEqual(isSameComplex128(v, new Complex128(-8.0, -10.0)), true, 'returns expected value');
+
+	x = new Complex128Array([-0.0, 0.0, -0.0, -0.0]);
+	v = zsumkbn([vector(x, 2, 1, 0)]);
+	t.strictEqual(isSameComplex128(v, new Complex128(-0.0, 0.0)), true, 'returns expected value');
+
+	x = new Complex128Array([NaN, NaN]);
+	v = zsumkbn([vector(x, 1, 1, 0)]);
+	t.strictEqual(isSameComplex128(v, new Complex128(NaN, NaN)), true, 'returns expected value');
+
+	x = new Complex128Array([NaN, NaN, NaN, NaN]);
+	v = zsumkbn([vector(x, 2, 1, 0)]);
+	t.strictEqual(isSameComplex128(v, new Complex128(NaN, NaN)), true, 'returns expected value');
+
+	t.end();
+});
+
+tape('if provided an empty ndarray, the function returns `0.0 + 0.0i`', function test(t) {
+	var x;
+	var v;
+
+	x = new Complex128Array([]);
+
+	v = zsumkbn([vector(x, 0, 1, 0)]);
+	t.strictEqual(isSameComplex128(v, new Complex128(0.0, 0.0)), true, 'returns expected value');
+
+	t.end();
+});
+
+tape('if provided a ndarray containing a single element, the function returns that element', function test(t) {
+	var x;
+	var v;
+
+	x = new Complex128Array([1.0, 2.0]);
+
+	v = zsumkbn([vector(x, 1, 1, 0)]);
+	t.strictEqual(isSameComplex128(v, new Complex128(1.0, 2.0)), true, 'returns expected value');
+
+	t.end();
+});
+
+tape('the function supports one-dimensional ndarrays having non-unit strides', function test(t) {
+	var x;
+	var v;
+
+	x = new Complex128Array([
+		1.0,  // 0
+		1.0,  // 0
+		2.0,
+		2.0,
+		2.0,  // 1
+		2.0,  // 1
+		-7.0,
+		-7.0,
+		-2.0, // 2
+		-2.0, // 2
+		3.0,
+		3.0,
+		4.0,  // 3
+		4.0,  // 3
+		2.0,
+		2.0
+	]);
+
+	v = zsumkbn([vector(x, 4, 2, 0)]);
+
+	t.strictEqual(isSameComplex128(v, new Complex128(5.0, 5.0)), true, 'returns expected value');
+	t.end();
+});
+
+tape('the function supports one-dimensional ndarrays having negative strides', function test(t) {
+	var x;
+	var v;
+
+	x = new Complex128Array([
+		1.0,  // 3
+		1.0,  // 3
+		2.0,
+		2.0,
+		2.0,  // 2
+		2.0,  // 2
+		-7.0,
+		-7.0,
+		-2.0, // 1
+		-2.0, // 1
+		3.0,
+		3.0,
+		4.0,  // 0
+		4.0,  // 0
+		2.0,
+		2.0
+	]);
+
+	v = zsumkbn([vector(x, 4, -2, 6)]);
+
+	t.strictEqual(isSameComplex128(v, new Complex128(5.0, 5.0)), true, 'returns expected value');
+	t.end();
+});
+
+tape('the function supports one-dimensional ndarrays having non-zero offsets', function test(t) {
+	var x;
+	var v;
+
+	x = new Complex128Array([
+		-9.0,
+		-9.0,
+		1.0,  // 3
+		1.0,  // 3
+		2.0,
+		2.0,
+		2.0,  // 2
+		2.0,  // 2
+		-7.0,
+		-7.0,
+		-2.0, // 1
+		-2.0, // 1
+		3.0,
+		3.0,
+		4.0,  // 0
+		4.0,  // 0
+		2.0,
+		2.0
+	]);
+
+	v = zsumkbn([vector(x, 4, 2, 1)]);
+	t.strictEqual(isSameComplex128(v, new Complex128(5.0, 5.0)), true, 'returns expected value');
+
+	t.end();
+});

From 740a8aa414546d88b6dcb439951a4f1a4f229643 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sun, 7 Dec 2025 09:36:57 +0530
Subject: [PATCH 2/9] lint

---
 .../@stdlib/blas/ext/base/ndarray/zsumkbn/README.md             | 2 +-
 .../@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md
index e0ef43b27a43..4348e00e09f0 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md
@@ -21,7 +21,7 @@ limitations under the License.
 # zsumkbn
 
 > Compute the sum of all elements in a one-dimensional double-precision complex
-floating-point ndarray using an improved Kahan–Babuška algorithm.
+> floating-point ndarray using an improved Kahan–Babuška algorithm.
 
 <section class="intro">
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts
index 8a436a5999fe..4526da0bc0a0 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts
@@ -39,7 +39,7 @@ import { Complex128 } from '@stdlib/types/complex';
 * var v = zsumkbn( [ x ] );
 * // returns <Complex128>[ 5.0, 5.0 ]
 */
-declare function zsumkbn(arrays: [complex128ndarray]): Complex128;
+declare function zsumkbn( arrays: [complex128ndarray] ): Complex128;
 
 
 // EXPORTS //

From cea1abdc7dd81a1a5b8cd772f229abaf17b3de9d Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sun, 7 Dec 2025 17:51:44 +0530
Subject: [PATCH 3/9] feat: added proper spacing

---
 .../ndarray/zsumkbn/benchmark/benchmark.js    |  4 +-
 .../ndarray/zsumkbn/docs/types/index.d.ts     |  2 +-
 .../base/ndarray/zsumkbn/docs/types/test.ts   |  8 ++--
 .../base/ndarray/zsumkbn/examples/index.js    |  4 +-
 .../blas/ext/base/ndarray/zsumkbn/lib/main.js |  2 +-
 .../ext/base/ndarray/zsumkbn/test/test.js     | 38 +++++++++----------
 6 files changed, 29 insertions(+), 29 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
index 35ba82cc5d1b..453904cbc8c7 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
@@ -55,7 +55,7 @@ function createBenchmark(len) {
 	xbuf = uniform(len * 2, -10.0, 10.0, {
 		'dtype': 'float64'
 	});
-	x = new ndarray(options.dtype, new Complex128Array(xbuf), [len], [1], 0, 'row-major');
+	x = new ndarray(options.dtype, new Complex128Array(xbuf), [ len ], [ 1 ], 0, 'row-major');
 
 	return benchmark;
 
@@ -65,7 +65,7 @@ function createBenchmark(len) {
 
 		b.tic();
 		for (i = 0; i < b.iterations; i++) {
-			v = zsumkbn([x]);
+			v = zsumkbn([ x ]);
 			if (isnan(real(v))) {
 				b.fail('should not return NaN');
 			}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts
index 4526da0bc0a0..55801ca4a522 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/index.d.ts
@@ -39,7 +39,7 @@ import { Complex128 } from '@stdlib/types/complex';
 * var v = zsumkbn( [ x ] );
 * // returns <Complex128>[ 5.0, 5.0 ]
 */
-declare function zsumkbn( arrays: [complex128ndarray] ): Complex128;
+declare function zsumkbn( arrays: [ complex128ndarray ] ): Complex128;
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
index f76175ef25a3..725bd0e2129a 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
@@ -26,11 +26,11 @@ import zsumkbn = require( './index' );
 
 // The function returns a complex number...
 {
-	const x = zeros([10], {
+	const x = zeros([ 10 ], {
 		'dtype': 'complex128'
 	});
 
-	zsumkbn([x]); // $ExpectType Complex128
+	zsumkbn([ x ]); // $ExpectType Complex128
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
@@ -48,10 +48,10 @@ import zsumkbn = require( './index' );
 
 // The compiler throws an error if the function is provided an unsupported number of arguments...
 {
-	const x = zeros([10], {
+	const x = zeros([ 10 ], {
 		'dtype': 'complex128'
 	});
 
 	zsumkbn(); // $ExpectError
-	zsumkbn([x], {}); // $ExpectError
+	zsumkbn([ x ], {}); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
index 0e19d7efdd10..98ee370ec7ed 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
@@ -29,8 +29,8 @@ var xbuf = discreteUniform(10, -50, 50, {
 });
 xbuf = new Complex128Array(xbuf);
 
-var x = new ndarray('complex128', xbuf, [xbuf.length], [1], 0, 'row-major');
+var x = new ndarray('complex128', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major');
 console.log(ndarray2array(x));
 
-var v = zsumkbn([x]);
+var v = zsumkbn([ x ]);
 console.log(v);
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js
index 75e7c9a6060d..ce813653e874 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js
@@ -46,7 +46,7 @@ var strided = require( '@stdlib/blas/ext/base/zsumkbn' ).ndarray;
 * // returns <Complex128>[ 5.0, 5.0 ]
 */
 function zsumkbn(arrays) {
-	var x = arrays[0];
+	var x = arrays[ 0 ];
 	return strided(numelDimension(x, 0), getData(x), getStride(x, 0), getOffset(x)); // eslint-disable-line max-len
 }
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
index de17a9ddee32..b54b645df9a5 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
@@ -41,7 +41,7 @@ var zsumkbn = require( './../lib' );
 * @returns {ndarray} one-dimensional ndarray
 */
 function vector(buffer, length, stride, offset) {
-	return new ndarray('complex128', buffer, [length], [stride], offset, 'row-major');
+	return new ndarray('complex128', buffer, [ length ], [ stride ], offset, 'row-major');
 }
 
 
@@ -62,48 +62,48 @@ tape('the function computes the sum of all elements in a one-dimensional ndarray
 	var x;
 	var v;
 
-	x = new Complex128Array([1.0, -2.0, -4.0, 5.0, 0.0, 3.0]);
-	v = zsumkbn([vector(x, 3, 1, 0)]);
+	x = new Complex128Array([ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ]);
+	v = zsumkbn([ vector(x, 3, 1, 0) ]);
 	t.strictEqual(isSameComplex128(v, new Complex128(-3.0, 6.0)), true, 'returns expected value');
 
-	x = new Complex128Array([-4.0, -5.0, -4.0, -5.0]);
-	v = zsumkbn([vector(x, 2, 1, 0)]);
+	x = new Complex128Array([ -4.0, -5.0, -4.0, -5.0 ]);
+	v = zsumkbn([ vector(x, 2, 1, 0) ]);
 	t.strictEqual(isSameComplex128(v, new Complex128(-8.0, -10.0)), true, 'returns expected value');
 
-	x = new Complex128Array([-0.0, 0.0, -0.0, -0.0]);
-	v = zsumkbn([vector(x, 2, 1, 0)]);
+	x = new Complex128Array([ -0.0, 0.0, -0.0, -0.0 ]);
+	v = zsumkbn([ vector(x, 2, 1, 0) ]);
 	t.strictEqual(isSameComplex128(v, new Complex128(-0.0, 0.0)), true, 'returns expected value');
 
-	x = new Complex128Array([NaN, NaN]);
-	v = zsumkbn([vector(x, 1, 1, 0)]);
+	x = new Complex128Array([ NaN, NaN ]);
+	v = zsumkbn([ vector(x, 1, 1, 0) ]);
 	t.strictEqual(isSameComplex128(v, new Complex128(NaN, NaN)), true, 'returns expected value');
 
-	x = new Complex128Array([NaN, NaN, NaN, NaN]);
-	v = zsumkbn([vector(x, 2, 1, 0)]);
+	x = new Complex128Array([ NaN, NaN, NaN, NaN ]);
+	v = zsumkbn([ vector(x, 2, 1, 0) ]);
 	t.strictEqual(isSameComplex128(v, new Complex128(NaN, NaN)), true, 'returns expected value');
 
 	t.end();
 });
 
-tape('if provided an empty ndarray, the function returns `0.0 + 0.0i`', function test(t) {
+tape('if provided an empty ndarray, the function returns `0.0+0.0j`', function test(t) {
 	var x;
 	var v;
 
 	x = new Complex128Array([]);
 
-	v = zsumkbn([vector(x, 0, 1, 0)]);
+	v = zsumkbn([ vector(x, 0, 1, 0) ]);
 	t.strictEqual(isSameComplex128(v, new Complex128(0.0, 0.0)), true, 'returns expected value');
 
 	t.end();
 });
 
-tape('if provided a ndarray containing a single element, the function returns that element', function test(t) {
+tape('if provided an ndarray containing a single element, the function returns that element', function test(t) {
 	var x;
 	var v;
 
-	x = new Complex128Array([1.0, 2.0]);
+	x = new Complex128Array([ 1.0, 2.0 ]);
 
-	v = zsumkbn([vector(x, 1, 1, 0)]);
+	v = zsumkbn([ vector(x, 1, 1, 0) ]);
 	t.strictEqual(isSameComplex128(v, new Complex128(1.0, 2.0)), true, 'returns expected value');
 
 	t.end();
@@ -132,7 +132,7 @@ tape('the function supports one-dimensional ndarrays having non-unit strides', f
 		2.0
 	]);
 
-	v = zsumkbn([vector(x, 4, 2, 0)]);
+	v = zsumkbn([ vector(x, 4, 2, 0) ]);
 
 	t.strictEqual(isSameComplex128(v, new Complex128(5.0, 5.0)), true, 'returns expected value');
 	t.end();
@@ -161,7 +161,7 @@ tape('the function supports one-dimensional ndarrays having negative strides', f
 		2.0
 	]);
 
-	v = zsumkbn([vector(x, 4, -2, 6)]);
+	v = zsumkbn([ vector(x, 4, -2, 6) ]);
 
 	t.strictEqual(isSameComplex128(v, new Complex128(5.0, 5.0)), true, 'returns expected value');
 	t.end();
@@ -192,7 +192,7 @@ tape('the function supports one-dimensional ndarrays having non-zero offsets', f
 		2.0
 	]);
 
-	v = zsumkbn([vector(x, 4, 2, 1)]);
+	v = zsumkbn([ vector(x, 4, 2, 1) ]);
 	t.strictEqual(isSameComplex128(v, new Complex128(5.0, 5.0)), true, 'returns expected value');
 
 	t.end();

From b857e695e70f6335572b06ffa2ca0def593f3c40 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 8 Dec 2025 11:06:20 +0530
Subject: [PATCH 4/9] spacing issues

---
 .../ndarray/zsumkbn/benchmark/benchmark.js    | 32 +++----
 .../base/ndarray/zsumkbn/docs/types/test.ts   | 30 +++---
 .../base/ndarray/zsumkbn/examples/index.js    | 14 +--
 .../blas/ext/base/ndarray/zsumkbn/lib/main.js |  4 +-
 .../ext/base/ndarray/zsumkbn/test/test.js     | 92 +++++++++----------
 5 files changed, 86 insertions(+), 86 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
index 453904cbc8c7..8d73525e8947 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
@@ -48,33 +48,33 @@ var options = {
 * @param {PositiveInteger} len - array length
 * @returns {Function} benchmark function
 */
-function createBenchmark(len) {
+function createBenchmark( len ) {
 	var xbuf;
 	var x;
 
-	xbuf = uniform(len * 2, -10.0, 10.0, {
+	xbuf = uniform( len * 2, -10.0, 10.0, {
 		'dtype': 'float64'
-	});
-	x = new ndarray(options.dtype, new Complex128Array(xbuf), [ len ], [ 1 ], 0, 'row-major');
+	} );
+	x = new ndarray( options.dtype, new Complex128Array( xbuf ), [ len ], [ 1 ], 0, 'row-major' );
 
 	return benchmark;
 
-	function benchmark(b) {
+	function benchmark( b ) {
 		var v;
 		var i;
 
 		b.tic();
-		for (i = 0; i < b.iterations; i++) {
-			v = zsumkbn([ x ]);
-			if (isnan(real(v))) {
-				b.fail('should not return NaN');
+		for ( i = 0; i < b.iterations; i++ ) {
+			v = zsumkbn( [ x ] );
+			if ( isnan( real( v ) ) ) {
+				b.fail( 'should not return NaN' );
 			}
 		}
 		b.toc();
-		if (isnan(imag(v))) {
-			b.fail('should not return NaN');
+		if ( isnan( imag( v ) ) ) {
+			b.fail( 'should not return NaN' );
 		}
-		b.pass('benchmark finished');
+		b.pass( 'benchmark finished' );
 		b.end();
 	}
 }
@@ -97,10 +97,10 @@ function main() {
 	min = 1; // 10^min
 	max = 6; // 10^max
 
-	for (i = min; i <= max; i++) {
-		len = pow(10, i);
-		f = createBenchmark(len);
-		bench(pkg + ':len=' + len, f);
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( pkg + ':len=' + len, f );
 	}
 }
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
index 725bd0e2129a..fb0222b8440a 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
@@ -26,32 +26,32 @@ import zsumkbn = require( './index' );
 
 // The function returns a complex number...
 {
-	const x = zeros([ 10 ], {
+	const x = zeros( [ 10 ], {
 		'dtype': 'complex128'
-	});
+	} );
 
-	zsumkbn([ x ]); // $ExpectType Complex128
+	zsumkbn( [ x ] ); // $ExpectType Complex128
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
 {
-	zsumkbn('10'); // $ExpectError
-	zsumkbn(10); // $ExpectError
-	zsumkbn(true); // $ExpectError
-	zsumkbn(false); // $ExpectError
-	zsumkbn(null); // $ExpectError
-	zsumkbn(undefined); // $ExpectError
-	zsumkbn([]); // $ExpectError
-	zsumkbn({}); // $ExpectError
-	zsumkbn((x: number): number => x); // $ExpectError
+	zsumkbn( '10' ); // $ExpectError
+	zsumkbn( 10 ); // $ExpectError
+	zsumkbn( true ); // $ExpectError
+	zsumkbn( false ); // $ExpectError
+	zsumkbn( null ); // $ExpectError
+	zsumkbn( undefined ); // $ExpectError
+	zsumkbn( [] ); // $ExpectError
+	zsumkbn( {} ); // $ExpectError
+	zsumkbn( ( x: number ): number => x ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided an unsupported number of arguments...
 {
-	const x = zeros([ 10 ], {
+	const x = zeros( [ 10 ], {
 		'dtype': 'complex128'
-	});
+	} );
 
 	zsumkbn(); // $ExpectError
-	zsumkbn([ x ], {}); // $ExpectError
+	zsumkbn( [ x ], {} ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
index 98ee370ec7ed..31ef937c8002 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
@@ -24,13 +24,13 @@ var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var zsumkbn = require( './../lib' );
 
-var xbuf = discreteUniform(10, -50, 50, {
+var xbuf = discreteUniform( 10, -50, 50, {
 	'dtype': 'float64'
-});
-xbuf = new Complex128Array(xbuf);
+} );
+xbuf = new Complex128Array( xbuf );
 
-var x = new ndarray('complex128', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major');
-console.log(ndarray2array(x));
+var x = new ndarray( 'complex128', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
 
-var v = zsumkbn([ x ]);
-console.log(v);
+var v = zsumkbn( [ x ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js
index ce813653e874..ac8f2bef55d3 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/lib/main.js
@@ -45,9 +45,9 @@ var strided = require( '@stdlib/blas/ext/base/zsumkbn' ).ndarray;
 * var v = zsumkbn( [ x ] );
 * // returns <Complex128>[ 5.0, 5.0 ]
 */
-function zsumkbn(arrays) {
+function zsumkbn( arrays ) {
 	var x = arrays[ 0 ];
-	return strided(numelDimension(x, 0), getData(x), getStride(x, 0), getOffset(x)); // eslint-disable-line max-len
+	return strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
 }
 
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
index b54b645df9a5..ded70c8c5543 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
@@ -40,80 +40,80 @@ var zsumkbn = require( './../lib' );
 * @param {NonNegativeInteger} offset - index offset
 * @returns {ndarray} one-dimensional ndarray
 */
-function vector(buffer, length, stride, offset) {
-	return new ndarray('complex128', buffer, [ length ], [ stride ], offset, 'row-major');
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'complex128', buffer, [ length ], [ stride ], offset, 'row-major' );
 }
 
 
 // TESTS //
 
-tape('main export is a function', function test(t) {
-	t.ok(true, __filename);
-	t.strictEqual(typeof zsumkbn, 'function', 'main export is a function');
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof zsumkbn, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape('the function has an arity of 1', function test(t) {
-	t.strictEqual(zsumkbn.length, 1, 'has expected arity');
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( zsumkbn.length, 1, 'has expected arity' );
 	t.end();
 });
 
-tape('the function computes the sum of all elements in a one-dimensional ndarray using an improved Kahan–Babuška algorithm', function test(t) {
+tape( 'the function computes the sum of all elements in a one-dimensional ndarray using an improved Kahan–Babuška algorithm', function test( t ) {
 	var x;
 	var v;
 
-	x = new Complex128Array([ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ]);
-	v = zsumkbn([ vector(x, 3, 1, 0) ]);
-	t.strictEqual(isSameComplex128(v, new Complex128(-3.0, 6.0)), true, 'returns expected value');
+	x = new Complex128Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+	v = zsumkbn( [ vector( x, 3, 1, 0 ) ] );
+	t.strictEqual( isSameComplex128( v, new Complex128( -3.0, 6.0 ) ), true, 'returns expected value' );
 
-	x = new Complex128Array([ -4.0, -5.0, -4.0, -5.0 ]);
-	v = zsumkbn([ vector(x, 2, 1, 0) ]);
-	t.strictEqual(isSameComplex128(v, new Complex128(-8.0, -10.0)), true, 'returns expected value');
+	x = new Complex128Array( [ -4.0, -5.0, -4.0, -5.0 ] );
+	v = zsumkbn( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( isSameComplex128( v, new Complex128( -8.0, -10.0 ) ), true, 'returns expected value' );
 
-	x = new Complex128Array([ -0.0, 0.0, -0.0, -0.0 ]);
-	v = zsumkbn([ vector(x, 2, 1, 0) ]);
-	t.strictEqual(isSameComplex128(v, new Complex128(-0.0, 0.0)), true, 'returns expected value');
+	x = new Complex128Array( [ -0.0, 0.0, -0.0, -0.0 ] );
+	v = zsumkbn( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( isSameComplex128( v, new Complex128( -0.0, 0.0 ) ), true, 'returns expected value' );
 
-	x = new Complex128Array([ NaN, NaN ]);
-	v = zsumkbn([ vector(x, 1, 1, 0) ]);
-	t.strictEqual(isSameComplex128(v, new Complex128(NaN, NaN)), true, 'returns expected value');
+	x = new Complex128Array( [ NaN, NaN ] );
+	v = zsumkbn( [ vector( x, 1, 1, 0 ) ] );
+	t.strictEqual( isSameComplex128( v, new Complex128( NaN, NaN ) ), true, 'returns expected value' );
 
-	x = new Complex128Array([ NaN, NaN, NaN, NaN ]);
-	v = zsumkbn([ vector(x, 2, 1, 0) ]);
-	t.strictEqual(isSameComplex128(v, new Complex128(NaN, NaN)), true, 'returns expected value');
+	x = new Complex128Array( [ NaN, NaN, NaN, NaN ] );
+	v = zsumkbn( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( isSameComplex128( v, new Complex128( NaN, NaN ) ), true, 'returns expected value' );
 
 	t.end();
 });
 
-tape('if provided an empty ndarray, the function returns `0.0+0.0j`', function test(t) {
+tape( 'if provided an empty ndarray, the function returns `0.0+0.0j`', function test( t ) {
 	var x;
 	var v;
 
-	x = new Complex128Array([]);
+	x = new Complex128Array( [] );
 
-	v = zsumkbn([ vector(x, 0, 1, 0) ]);
-	t.strictEqual(isSameComplex128(v, new Complex128(0.0, 0.0)), true, 'returns expected value');
+	v = zsumkbn( [ vector( x, 0, 1, 0 ) ] );
+	t.strictEqual( isSameComplex128( v, new Complex128( 0.0, 0.0 ) ), true, 'returns expected value' );
 
 	t.end();
 });
 
-tape('if provided an ndarray containing a single element, the function returns that element', function test(t) {
+tape( 'if provided an ndarray containing a single element, the function returns that element', function test( t ) {
 	var x;
 	var v;
 
-	x = new Complex128Array([ 1.0, 2.0 ]);
+	x = new Complex128Array( [ 1.0, 2.0 ] );
 
-	v = zsumkbn([ vector(x, 1, 1, 0) ]);
-	t.strictEqual(isSameComplex128(v, new Complex128(1.0, 2.0)), true, 'returns expected value');
+	v = zsumkbn( [ vector( x, 1, 1, 0 ) ] );
+	t.strictEqual( isSameComplex128( v, new Complex128( 1.0, 2.0 ) ), true, 'returns expected value' );
 
 	t.end();
 });
 
-tape('the function supports one-dimensional ndarrays having non-unit strides', function test(t) {
+tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) {
 	var x;
 	var v;
 
-	x = new Complex128Array([
+	x = new Complex128Array( [
 		1.0,  // 0
 		1.0,  // 0
 		2.0,
@@ -130,19 +130,19 @@ tape('the function supports one-dimensional ndarrays having non-unit strides', f
 		4.0,  // 3
 		2.0,
 		2.0
-	]);
+	] );
 
-	v = zsumkbn([ vector(x, 4, 2, 0) ]);
+	v = zsumkbn( [ vector( x, 4, 2, 0 ) ] );
 
-	t.strictEqual(isSameComplex128(v, new Complex128(5.0, 5.0)), true, 'returns expected value');
+	t.strictEqual( isSameComplex128( v, new Complex128( 5.0, 5.0 ) ), true, 'returns expected value' );
 	t.end();
 });
 
-tape('the function supports one-dimensional ndarrays having negative strides', function test(t) {
+tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) {
 	var x;
 	var v;
 
-	x = new Complex128Array([
+	x = new Complex128Array( [
 		1.0,  // 3
 		1.0,  // 3
 		2.0,
@@ -159,19 +159,19 @@ tape('the function supports one-dimensional ndarrays having negative strides', f
 		4.0,  // 0
 		2.0,
 		2.0
-	]);
+	] );
 
-	v = zsumkbn([ vector(x, 4, -2, 6) ]);
+	v = zsumkbn( [ vector( x, 4, -2, 6 ) ] );
 
-	t.strictEqual(isSameComplex128(v, new Complex128(5.0, 5.0)), true, 'returns expected value');
+	t.strictEqual( isSameComplex128( v, new Complex128( 5.0, 5.0 ) ), true, 'returns expected value' );
 	t.end();
 });
 
-tape('the function supports one-dimensional ndarrays having non-zero offsets', function test(t) {
+tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) {
 	var x;
 	var v;
 
-	x = new Complex128Array([
+	x = new Complex128Array( [
 		-9.0,
 		-9.0,
 		1.0,  // 3
@@ -190,10 +190,10 @@ tape('the function supports one-dimensional ndarrays having non-zero offsets', f
 		4.0,  // 0
 		2.0,
 		2.0
-	]);
+	] );
 
-	v = zsumkbn([ vector(x, 4, 2, 1) ]);
-	t.strictEqual(isSameComplex128(v, new Complex128(5.0, 5.0)), true, 'returns expected value');
+	v = zsumkbn( [ vector( x, 4, 2, 1 ) ] );
+	t.strictEqual( isSameComplex128( v, new Complex128( 5.0, 5.0 ) ), true, 'returns expected value' );
 
 	t.end();
 });

From b5bafb07872b3bb21d264244cd79c1063ccc25ac Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 8 Dec 2025 11:13:06 +0530
Subject: [PATCH 5/9] lint

---
 .../blas/ext/base/ndarray/zsumkbn/examples/index.js  |  2 +-
 .../blas/ext/base/ndarray/zsumkbn/test/test.js       | 12 ++++++------
 2 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
index 31ef937c8002..2cb00d2b4d3e 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/examples/index.js
@@ -26,7 +26,7 @@ var zsumkbn = require( './../lib' );
 
 var xbuf = discreteUniform( 10, -50, 50, {
 	'dtype': 'float64'
-} );
+});
 xbuf = new Complex128Array( xbuf );
 
 var x = new ndarray( 'complex128', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
index ded70c8c5543..044e65ff2bfa 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
@@ -113,7 +113,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 	var x;
 	var v;
 
-	x = new Complex128Array( [
+	x = new Complex128Array([
 		1.0,  // 0
 		1.0,  // 0
 		2.0,
@@ -130,7 +130,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 		4.0,  // 3
 		2.0,
 		2.0
-	] );
+	]);
 
 	v = zsumkbn( [ vector( x, 4, 2, 0 ) ] );
 
@@ -142,7 +142,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 	var x;
 	var v;
 
-	x = new Complex128Array( [
+	x = new Complex128Array([
 		1.0,  // 3
 		1.0,  // 3
 		2.0,
@@ -159,7 +159,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 		4.0,  // 0
 		2.0,
 		2.0
-	] );
+	]);
 
 	v = zsumkbn( [ vector( x, 4, -2, 6 ) ] );
 
@@ -171,7 +171,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 	var x;
 	var v;
 
-	x = new Complex128Array( [
+	x = new Complex128Array([
 		-9.0,
 		-9.0,
 		1.0,  // 3
@@ -190,7 +190,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 		4.0,  // 0
 		2.0,
 		2.0
-	] );
+	]);
 
 	v = zsumkbn( [ vector( x, 4, 2, 1 ) ] );
 	t.strictEqual( isSameComplex128( v, new Complex128( 5.0, 5.0 ) ), true, 'returns expected value' );

From 50b235623ce47d87bbfc12bdef4fd48c0ceaf56c Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 8 Dec 2025 11:36:14 +0530
Subject: [PATCH 6/9] formating

---
 .../blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js      | 2 +-
 .../@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts  | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
index 8d73525e8947..2d4c1630cd1d 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
@@ -54,7 +54,7 @@ function createBenchmark( len ) {
 
 	xbuf = uniform( len * 2, -10.0, 10.0, {
 		'dtype': 'float64'
-	} );
+	});
 	x = new ndarray( options.dtype, new Complex128Array( xbuf ), [ len ], [ 1 ], 0, 'row-major' );
 
 	return benchmark;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
index fb0222b8440a..a1d55aa2470a 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/types/test.ts
@@ -28,7 +28,7 @@ import zsumkbn = require( './index' );
 {
 	const x = zeros( [ 10 ], {
 		'dtype': 'complex128'
-	} );
+	});
 
 	zsumkbn( [ x ] ); // $ExpectType Complex128
 }
@@ -50,7 +50,7 @@ import zsumkbn = require( './index' );
 {
 	const x = zeros( [ 10 ], {
 		'dtype': 'complex128'
-	} );
+	});
 
 	zsumkbn(); // $ExpectError
 	zsumkbn( [ x ], {} ); // $ExpectError

From 080e9cd0cb1104dda41c8810b452528df74f58b8 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 8 Dec 2025 11:58:31 +0530
Subject: [PATCH 7/9] formating and spacing

---
 .../@stdlib/blas/ext/base/ndarray/zsumkbn/README.md         | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md
index 4348e00e09f0..cfe8f4df8330 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/README.md
@@ -20,8 +20,7 @@ limitations under the License.
 
 # zsumkbn
 
-> Compute the sum of all elements in a one-dimensional double-precision complex
-> floating-point ndarray using an improved Kahan–Babuška algorithm.
+> Compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.
 
 <section class="intro">
 
@@ -39,8 +38,7 @@ var zsumkbn = require( '@stdlib/blas/ext/base/ndarray/zsumkbn' );
 
 #### zsumkbn( arrays )
 
-Computes the sum of all elements in a one-dimensional double-precision complex
-floating-point ndarray using an improved Kahan–Babuška algorithm.
+Computes the sum of all elements in a one-dimensional double-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.
 
 ```javascript
 var Complex128Array = require( '@stdlib/array/complex128' );

From 76e9a0d2d13067a16ac6de63373c631ec347ce2b Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 8 Dec 2025 21:56:35 +0530
Subject: [PATCH 8/9] Reviewed Changes

---
 .../blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js      | 4 ++--
 .../@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt       | 2 +-
 .../@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js        | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
index 2d4c1630cd1d..5544c4317e88 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/benchmark/benchmark.js
@@ -52,7 +52,7 @@ function createBenchmark( len ) {
 	var xbuf;
 	var x;
 
-	xbuf = uniform( len * 2, -10.0, 10.0, {
+	xbuf = uniform( len*2, -10.0, 10.0, {
 		'dtype': 'float64'
 	});
 	x = new ndarray( options.dtype, new Complex128Array( xbuf ), [ len ], [ 1 ], 0, 'row-major' );
@@ -100,7 +100,7 @@ function main() {
 	for ( i = min; i <= max; i++ ) {
 		len = pow( 10, i );
 		f = createBenchmark( len );
-		bench( pkg + ':len=' + len, f );
+		bench( pkg+':len='+len, f );
 	}
 }
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt
index 805cd283a867..805e910a3be6 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt
@@ -3,7 +3,7 @@
     Computes the sum of all elements in a one-dimensional double-precision
     complex floating-point ndarray using an improved Kahan–Babuška algorithm.
 
-    If provided an empty ndarray, the function returns `0.0 + 0.0i`.
+    If provided an empty ndarray, the function returns `0.0`.
 
     Parameters
     ----------
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
index 044e65ff2bfa..80dccd2e2d90 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/test/test.js
@@ -85,7 +85,7 @@ tape( 'the function computes the sum of all elements in a one-dimensional ndarra
 	t.end();
 });
 
-tape( 'if provided an empty ndarray, the function returns `0.0+0.0j`', function test( t ) {
+tape( 'if provided an empty ndarray, the function returns `0.0`', function test( t ) {
 	var x;
 	var v;
 

From 8a0a0eb91c031062d8f4c907d6589c3175f11c9c Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Mon, 8 Dec 2025 19:38:09 -0800
Subject: [PATCH 9/9] docs: update note

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt         | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt
index 805e910a3be6..805cd283a867 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zsumkbn/docs/repl.txt
@@ -3,7 +3,7 @@
     Computes the sum of all elements in a one-dimensional double-precision
     complex floating-point ndarray using an improved Kahan–Babuška algorithm.
 
-    If provided an empty ndarray, the function returns `0.0`.
+    If provided an empty ndarray, the function returns `0.0 + 0.0i`.
 
     Parameters
     ----------