From db5043cedf596c60dafc14bc4c0e8716785b8c63 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sat, 6 Dec 2025 13:44:35 +0530
Subject: [PATCH 1/4] feat: add blas/ext/base/ndarray/scusumkbn

---
 .../blas/ext/base/ndarray/scusumkbn/README.md | 146 ++++++++
 .../ndarray/scusumkbn/benchmark/benchmark.js  | 112 +++++++
 .../ext/base/ndarray/scusumkbn/docs/repl.txt  |  39 +++
 .../ndarray/scusumkbn/docs/types/index.d.ts   |  59 ++++
 .../base/ndarray/scusumkbn/docs/types/test.ts |  69 ++++
 .../base/ndarray/scusumkbn/examples/index.js  |  42 +++
 .../ext/base/ndarray/scusumkbn/lib/index.js   |  58 ++++
 .../ext/base/ndarray/scusumkbn/lib/main.js    |  73 ++++
 .../ext/base/ndarray/scusumkbn/package.json   |  71 ++++
 .../ext/base/ndarray/scusumkbn/test/test.js   | 311 ++++++++++++++++++
 10 files changed, 980 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/README.md
new file mode 100644
index 000000000000..dec99ab7088e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/README.md
@@ -0,0 +1,146 @@
+<!--
+
+@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.
+
+-->
+
+# scusumkbn
+
+> Compute the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var scusumkbn = require( '@stdlib/blas/ext/base/ndarray/scusumkbn' );
+```
+
+#### scusumkbn( arrays )
+
+Computes the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+var y = new ndarray( 'float32', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var initial = scalar2ndarray( 0.0, 'float32', 'row-major' );
+
+var v = scusumkbn( [ x, y, initial ] );
+// returns <ndarray>
+
+var bool = ( v === y );
+// returns true
+
+var arr = ndarray2array( v );
+// returns [ 1.0, 4.0, 8.0, 10.0 ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing a one-dimensional input ndarray, a one-dimensional output ndarray, and a zero-dimensional ndarray containing the initial sum.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If provided an empty one-dimensional input ndarray, the function returns the output ndarray unchanged.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var zerosLike = require( '@stdlib/ndarray/zeros-like' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var scusumkbn = require( '@stdlib/blas/ext/base/ndarray/scusumkbn' );
+
+var xbuf = discreteUniform( 10, -50, 50, {
+    'dtype': 'float32'
+});
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var y = zerosLike( x );
+console.log( ndarray2array( y ) );
+
+var initial = scalar2ndarray( 100.0, {
+    'dtype': 'float32'
+});
+
+var v = scusumkbn( [ x, y, initial ] );
+console.log( ndarray2array( 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/scusumkbn/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
new file mode 100644
index 000000000000..749559d311fc
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
@@ -0,0 +1,112 @@
+/**
+* @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 zeros = require('@stdlib/array/zeros');
+var isnanf = require('@stdlib/math/base/assert/is-nanf');
+var pow = require('@stdlib/math/base/special/pow');
+var ndarray = require('@stdlib/ndarray/base/ctor');
+var scalar2ndarray = require('@stdlib/ndarray/base/from-scalar');
+var pkg = require('./../package.json').name;
+var scusumkbn = require('./../lib');
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark(len) {
+	var initial;
+	var xbuf;
+	var ybuf;
+	var x;
+	var y;
+
+	xbuf = uniform(len, -10.0, 10.0, options);
+	x = new ndarray(options.dtype, xbuf, [len], [1], 0, 'row-major');
+
+	initial = scalar2ndarray(0.0, options.dtype, 'row-major');
+
+	ybuf = zeros(len, options.dtype);
+	y = new ndarray(options.dtype, ybuf, [len], [1], 0, 'row-major');
+
+	return benchmark;
+
+	function benchmark(b) {
+		var v;
+		var i;
+
+		b.tic();
+		for (i = 0; i < b.iterations; i++) {
+			v = scusumkbn([x, y, initial]);
+			if (typeof v !== 'object') {
+				b.fail('should return an ndarray');
+			}
+		}
+		b.toc();
+		if (isnanf(v.get(i % len))) {
+			b.fail('should not return NaN');
+		}
+		b.pass('benchmark finished');
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for (i = min; i <= max; i++) {
+		len = pow(10, i);
+		f = createBenchmark(len);
+		bench(pkg + ':len=' + len, f);
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/repl.txt
new file mode 100644
index 000000000000..b329cc71a386
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/repl.txt
@@ -0,0 +1,39 @@
+
+{{alias}}( arrays )
+    Computes the cumulative sum of a one-dimensional single-precision
+    floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+    If provided an empty input ndarray, the function returns the output ndarray
+    unchanged.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing a one-dimensional input ndarray, a one-
+        dimensional output ndarray, and a zero-dimensional ndarray containing
+        the initial sum.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var xbuf = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
+    > var ybuf = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 0.0 ] );
+    > var dt = 'float32';
+    > var sh = [ xbuf.length ];
+    > var st = [ 1 ];
+    > var oo = 0;
+    > var ord = 'row-major';
+    > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
+    > var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord );
+    > var s = {{alias:@stdlib/ndarray/from-scalar}}( 0.0, { 'dtype': dt } );
+    > {{alias}}( [ x, y, s ] );
+    > {{alias:@stdlib/ndarray/to-array}}( y )
+    [ 1.0, -1.0, 1.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
new file mode 100644
index 000000000000..a9cc02fca6b4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
@@ -0,0 +1,59 @@
+/*
+* @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 { float32ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+*
+* @param arrays - array-like object containing an input ndarray, an output ndarray, and ndarray containing the initial sum
+* @returns output ndarray
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+* var y = new ndarray( 'float32', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var initial = scalar2ndarray( 0.0, 'float32', 'row-major' );
+*
+* var v = scusumkbn( [ x, y, initial ] );
+* // returns <ndarray>
+*
+* var bool = ( v === y );
+* // returns true
+*
+* var arr = ndarray2array( v );
+* // returns [ 1.0, 4.0, 8.0, 10.0 ]
+*/
+declare function scusumkbn(arrays: [float32ndarray, float32ndarray, float32ndarray]): float32ndarray;
+
+
+// EXPORTS //
+
+export = scusumkbn;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts
new file mode 100644
index 000000000000..3f935397623b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts
@@ -0,0 +1,69 @@
+/*
+* @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 scusumkbn = require('./index');
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros([10], {
+		'dtype': 'float32'
+	});
+	const y = zeros([10], {
+		'dtype': 'float32'
+	});
+	const initial = zeros([], {
+		'dtype': 'float32'
+	});
+
+	scusumkbn([x, y, initial]); // $ExpectType float32ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	scusumkbn('10'); // $ExpectError
+	scusumkbn(10); // $ExpectError
+	scusumkbn(true); // $ExpectError
+	scusumkbn(false); // $ExpectError
+	scusumkbn(null); // $ExpectError
+	scusumkbn(undefined); // $ExpectError
+	scusumkbn([]); // $ExpectError
+	scusumkbn({}); // $ExpectError
+	scusumkbn((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': 'float32'
+	});
+	const y = zeros([10], {
+		'dtype': 'float32'
+	});
+	const initial = zeros([], {
+		'dtype': 'float32'
+	});
+
+	scusumkbn(); // $ExpectError
+	scusumkbn([x, y, initial], {}); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
new file mode 100644
index 000000000000..ac50e4308851
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
@@ -0,0 +1,42 @@
+/**
+* @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 ndarray = require('@stdlib/ndarray/base/ctor');
+var zerosLike = require('@stdlib/ndarray/zeros-like');
+var scalar2ndarray = require('@stdlib/ndarray/from-scalar');
+var ndarray2array = require('@stdlib/ndarray/to-array');
+var scusumkbn = require('./../lib');
+
+var xbuf = discreteUniform(10, -50, 50, {
+	'dtype': 'float32'
+});
+var x = new ndarray('float32', xbuf, [xbuf.length], [1], 0, 'row-major');
+console.log(ndarray2array(x));
+
+var y = zerosLike(x);
+console.log(ndarray2array(y));
+
+var initial = scalar2ndarray(100.0, {
+	'dtype': 'float32'
+});
+
+var v = scusumkbn([x, y, initial]);
+console.log(ndarray2array(v));
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
new file mode 100644
index 000000000000..0d8fd38e94bf
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
@@ -0,0 +1,58 @@
+/**
+* @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 cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+*
+* @module @stdlib/blas/ext/base/ndarray/scusumkbn
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+* var scusumkbn = require( '@stdlib/blas/ext/base/ndarray/scusumkbn' );
+*
+* var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+* var y = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var initial = scalar2ndarray( 0.0, 'float32', 'row-major' );
+*
+* var v = scusumkbn( [ x, y, initial ] );
+* // returns <ndarray>
+*
+* var bool = ( v === y );
+* // returns true
+*
+* var arr = ndarray2array( v );
+* // returns [ 1.0, 4.0, 8.0, 10.0 ]
+*/
+
+// MODULES //
+
+var main = require('./main.js');
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
new file mode 100644
index 000000000000..2cc778f0f462
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
@@ -0,0 +1,73 @@
+/**
+* @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 ndarraylike2scalar = require('@stdlib/ndarray/base/ndarraylike2scalar');
+var strided = require('@stdlib/blas/ext/base/scusumkbn').ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray, an output ndarray, and an ndarray containing the initial sum
+* @returns {number} sum
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+*
+* var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+* var y = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var initial = scalar2ndarray( 0.0, 'float32', 'row-major' );
+*
+* var v = scusumkbn( [ x, y, initial ] );
+* // returns <ndarray>
+*
+* var bool = ( v === y );
+* // returns true
+*
+* var arr = ndarray2array( v );
+* // returns [ 1.0, 4.0, 8.0, 10.0 ]
+*/
+function scusumkbn(arrays) {
+	var x = arrays[0];
+	var y = arrays[1];
+	var v = ndarraylike2scalar(arrays[2]);
+	strided(numelDimension(x, 0), v, getData(x), getStride(x, 0), getOffset(x), getData(y), getStride(y, 0), getOffset(y)); // eslint-disable-line max-len
+	return y;
+}
+
+
+// EXPORTS //
+
+module.exports = scusumkbn;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/package.json
new file mode 100644
index 000000000000..dfd767f33144
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/package.json
@@ -0,0 +1,71 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/scusumkbn",
+  "version": "0.0.0",
+  "description": "Compute the cumulative sum of a one-dimensional single-precision 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",
+    "cumulative",
+    "accumulate",
+    "sum",
+    "total",
+    "summation",
+    "compensated",
+    "kahan",
+    "kbn",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js
new file mode 100644
index 000000000000..0afbf6a6921b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js
@@ -0,0 +1,311 @@
+/**
+* @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 isSameFloat32Array = require('@stdlib/assert/is-same-float32array');
+var Float32Array = require('@stdlib/array/float32');
+var ndarray = require('@stdlib/ndarray/base/ctor');
+var scalar2ndarrayLike = require('@stdlib/ndarray/base/from-scalar-like');
+var zerosLike = require('@stdlib/ndarray/zeros-like');
+var getData = require('@stdlib/ndarray/data-buffer');
+var scusumkbn = require('./../lib');
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Float32Array} 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('float32', buffer, [length], [stride], offset, 'row-major');
+}
+
+
+// TESTS //
+
+tape('main export is a function', function test(t) {
+	t.ok(true, __filename);
+	t.strictEqual(typeof scusumkbn, 'function', 'main export is a function');
+	t.end();
+});
+
+tape('the function has an arity of 1', function test(t) {
+	t.strictEqual(scusumkbn.length, 1, 'has expected arity');
+	t.end();
+});
+
+tape('the function computes the cumulative sum of a one-dimensional ndarray using an improved Kahan–Babuška algorithm', function test(t) {
+	var expected;
+	var initial;
+	var xbuf;
+	var x;
+	var y;
+	var v;
+
+	xbuf = new Float32Array([1.0, -2.0, -4.0, 5.0, 0.0, 3.0]);
+	x = vector(xbuf, 6, 1, 0);
+	y = zerosLike(x);
+	initial = scalar2ndarrayLike(x, 0.0);
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([1.0, -1.0, -5.0, 0.0, 0.0, 3.0]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+
+	xbuf = new Float32Array([-4.0, -5.0]);
+	x = vector(xbuf, 2, 1, 0);
+	y = zerosLike(x);
+	initial = scalar2ndarrayLike(x, 10.0);
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([6.0, 1.0]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+
+	xbuf = new Float32Array([-0.0, 0.0, -0.0]);
+	x = vector(xbuf, 3, 1, 0);
+	y = zerosLike(x);
+	initial = scalar2ndarrayLike(x, -0.0);
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([-0.0, 0.0, 0.0]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+
+	xbuf = new Float32Array([-0.0, -0.0, -0.0]);
+	x = vector(xbuf, 3, 1, 0);
+	y = zerosLike(x);
+	initial = scalar2ndarrayLike(x, -0.0);
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([-0.0, -0.0, -0.0]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+
+	xbuf = new Float32Array([-0.0, -0.0, -0.0]);
+	x = vector(xbuf, 3, 1, 0);
+	y = zerosLike(x);
+	initial = scalar2ndarrayLike(x, 0.0);
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([0.0, 0.0, 0.0]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+
+	xbuf = new Float32Array([NaN]);
+	x = vector(xbuf, 1, 1, 0);
+	y = zerosLike(x);
+	initial = scalar2ndarrayLike(x, 0.0);
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([NaN]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+
+	xbuf = new Float32Array([NaN, NaN]);
+	x = vector(xbuf, 2, 1, 0);
+	y = zerosLike(x);
+	initial = scalar2ndarrayLike(x, NaN);
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([NaN, NaN]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+
+	t.end();
+});
+
+tape('if provided an empty ndarray, the function returns the output array unchanged', function test(t) {
+	var expected;
+	var initial;
+	var xbuf;
+	var x;
+	var y;
+	var v;
+
+	xbuf = new Float32Array([]);
+	x = vector(xbuf, 0, 1, 0);
+	y = zerosLike(x);
+	initial = scalar2ndarrayLike(x, 100.0);
+
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+
+	t.end();
+});
+
+tape('the function supports one-dimensional ndarrays having non-unit strides', function test(t) {
+	var expected;
+	var initial;
+	var xbuf;
+	var ybuf;
+	var x;
+	var y;
+	var v;
+
+	xbuf = new Float32Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	]);
+	x = vector(xbuf, 4, 2, 0);
+
+	ybuf = new Float32Array([
+		0.0,  // 0
+		0.0,
+		0.0,  // 1
+		0.0,
+		0.0,  // 2
+		0.0,
+		0.0,  // 3
+		0.0
+	]);
+	y = vector(ybuf, 4, 2, 0);
+
+	initial = scalar2ndarrayLike(x, 5.0);
+
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([
+		6.0,  // 0
+		0.0,
+		8.0,  // 1
+		0.0,
+		6.0,  // 2
+		0.0,
+		10.0, // 3
+		0.0
+	]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+	t.end();
+});
+
+tape('the function supports one-dimensional ndarrays having negative strides', function test(t) {
+	var expected;
+	var initial;
+	var xbuf;
+	var ybuf;
+	var x;
+	var y;
+	var v;
+
+	xbuf = new Float32Array([
+		1.0,  // 2
+		-2.0,
+		3.0,  // 1
+		4.0,
+		-5.0  // 0
+	]);
+	x = vector(xbuf, 3, -2, 4);
+
+	ybuf = new Float32Array([
+		0.0, // 2
+		0.0, // 1
+		0.0, // 0
+		0.0,
+		0.0
+	]);
+	y = vector(ybuf, 3, -1, 2);
+
+	initial = scalar2ndarrayLike(x, 0.0);
+
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([
+		-1.0, // 2
+		-2.0, // 1
+		-5.0, // 0
+		0.0,
+		0.0
+	]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+	t.end();
+});
+
+tape('the function supports one-dimensional ndarrays having non-zero offsets', function test(t) {
+	var expected;
+	var initial;
+	var xbuf;
+	var ybuf;
+	var x;
+	var y;
+	var v;
+
+	xbuf = new Float32Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0   // 3
+	]);
+	x = vector(xbuf, 4, 2, 1);
+
+	ybuf = new Float32Array([
+		0.0,
+		0.0,
+		0.0,  // 0
+		0.0,  // 1
+		0.0,  // 2
+		0.0,  // 3
+		0.0,
+		0.0
+	]);
+	y = vector(ybuf, 4, 1, 2);
+
+	initial = scalar2ndarrayLike(x, 0.0);
+
+	v = scusumkbn([x, y, initial]);
+
+	expected = new Float32Array([
+		0.0,
+		0.0,
+		1.0,  // 0
+		-1.0, // 1
+		1.0,  // 2
+		5.0,  // 3
+		0.0,
+		0.0
+	]);
+	t.strictEqual(v, y, 'returns expected value');
+	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+	t.end();
+});

From e65639295f336e59246dca84ac23351c43b7ac1d Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sat, 6 Dec 2025 13:59:11 +0530
Subject: [PATCH 2/4] lint

---
 .../ndarray/scusumkbn/benchmark/benchmark.js  |  18 +-
 .../ndarray/scusumkbn/docs/types/index.d.ts   |   2 +-
 .../base/ndarray/scusumkbn/examples/index.js  |  12 +-
 .../ext/base/ndarray/scusumkbn/lib/index.js   |   2 +-
 .../ext/base/ndarray/scusumkbn/lib/main.js    |  12 +-
 .../ext/base/ndarray/scusumkbn/test/test.js   | 230 +++++++++---------
 6 files changed, 138 insertions(+), 138 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
index 749559d311fc..ccb586745a5c 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
@@ -20,15 +20,15 @@
 
 // MODULES //
 
-var bench = require('@stdlib/bench');
-var uniform = require('@stdlib/random/array/uniform');
-var zeros = require('@stdlib/array/zeros');
-var isnanf = require('@stdlib/math/base/assert/is-nanf');
-var pow = require('@stdlib/math/base/special/pow');
-var ndarray = require('@stdlib/ndarray/base/ctor');
-var scalar2ndarray = require('@stdlib/ndarray/base/from-scalar');
-var pkg = require('./../package.json').name;
-var scusumkbn = require('./../lib');
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var zeros = require( '@stdlib/array/zeros' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+var pkg = require( './../package.json' ).name;
+var scusumkbn = require( './../lib' );
 
 
 // VARIABLES //
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
index a9cc02fca6b4..4a7f8dfb4439 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
@@ -51,7 +51,7 @@ import { float32ndarray } from '@stdlib/types/ndarray';
 * var arr = ndarray2array( v );
 * // returns [ 1.0, 4.0, 8.0, 10.0 ]
 */
-declare function scusumkbn(arrays: [float32ndarray, float32ndarray, float32ndarray]): float32ndarray;
+declare function scusumkbn( arrays: [float32ndarray, float32ndarray, float32ndarray] ): float32ndarray;
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
index ac50e4308851..476e6a8419f5 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
@@ -18,12 +18,12 @@
 
 'use strict';
 
-var discreteUniform = require('@stdlib/random/array/discrete-uniform');
-var ndarray = require('@stdlib/ndarray/base/ctor');
-var zerosLike = require('@stdlib/ndarray/zeros-like');
-var scalar2ndarray = require('@stdlib/ndarray/from-scalar');
-var ndarray2array = require('@stdlib/ndarray/to-array');
-var scusumkbn = require('./../lib');
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var zerosLike = require( '@stdlib/ndarray/zeros-like' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var scusumkbn = require( './../lib' );
 
 var xbuf = discreteUniform(10, -50, 50, {
 	'dtype': 'float32'
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
index 0d8fd38e94bf..16a371681f40 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
@@ -50,7 +50,7 @@
 
 // MODULES //
 
-var main = require('./main.js');
+var main = require( './main.js' );
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
index 2cc778f0f462..32813d04385a 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
@@ -20,12 +20,12 @@
 
 // MODULES //
 
-var numelDimension = require('@stdlib/ndarray/base/numel-dimension');
-var getStride = require('@stdlib/ndarray/base/stride');
-var getOffset = require('@stdlib/ndarray/base/offset');
-var getData = require('@stdlib/ndarray/base/data-buffer');
-var ndarraylike2scalar = require('@stdlib/ndarray/base/ndarraylike2scalar');
-var strided = require('@stdlib/blas/ext/base/scusumkbn').ndarray;
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var strided = require( '@stdlib/blas/ext/base/scusumkbn' ).ndarray;
 
 
 // MAIN //
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js
index 0afbf6a6921b..164290603438 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js
@@ -20,14 +20,14 @@
 
 // MODULES //
 
-var tape = require('tape');
-var isSameFloat32Array = require('@stdlib/assert/is-same-float32array');
-var Float32Array = require('@stdlib/array/float32');
-var ndarray = require('@stdlib/ndarray/base/ctor');
-var scalar2ndarrayLike = require('@stdlib/ndarray/base/from-scalar-like');
-var zerosLike = require('@stdlib/ndarray/zeros-like');
-var getData = require('@stdlib/ndarray/data-buffer');
-var scusumkbn = require('./../lib');
+var tape = require( 'tape' );
+var isSameFloat32Array = require( '@stdlib/assert/is-same-float32array' );
+var Float32Array = require( '@stdlib/array/float32' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var scalar2ndarrayLike = require( '@stdlib/ndarray/base/from-scalar-like' );
+var zerosLike = require( '@stdlib/ndarray/zeros-like' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var scusumkbn = require( './../lib' );
 
 
 // FUNCTIONS //
@@ -42,25 +42,25 @@ var scusumkbn = require('./../lib');
 * @param {NonNegativeInteger} offset - index offset
 * @returns {ndarray} one-dimensional ndarray
 */
-function vector(buffer, length, stride, offset) {
-	return new ndarray('float32', buffer, [length], [stride], offset, 'row-major');
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'float32', buffer, [length], [stride], offset, 'row-major' );
 }
 
 
 // TESTS //
 
-tape('main export is a function', function test(t) {
-	t.ok(true, __filename);
-	t.strictEqual(typeof scusumkbn, 'function', 'main export is a function');
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof scusumkbn, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape('the function has an arity of 1', function test(t) {
-	t.strictEqual(scusumkbn.length, 1, 'has expected arity');
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( scusumkbn.length, 1, 'has expected arity' );
 	t.end();
 });
 
-tape('the function computes the cumulative sum of a one-dimensional ndarray using an improved Kahan–Babuška algorithm', function test(t) {
+tape( 'the function computes the cumulative sum of a one-dimensional ndarray using an improved Kahan–Babuška algorithm', function test( t ) {
 	var expected;
 	var initial;
 	var xbuf;
@@ -68,80 +68,80 @@ tape('the function computes the cumulative sum of a one-dimensional ndarray usin
 	var y;
 	var v;
 
-	xbuf = new Float32Array([1.0, -2.0, -4.0, 5.0, 0.0, 3.0]);
-	x = vector(xbuf, 6, 1, 0);
-	y = zerosLike(x);
-	initial = scalar2ndarrayLike(x, 0.0);
-	v = scusumkbn([x, y, initial]);
-
-	expected = new Float32Array([1.0, -1.0, -5.0, 0.0, 0.0, 3.0]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
-
-	xbuf = new Float32Array([-4.0, -5.0]);
-	x = vector(xbuf, 2, 1, 0);
-	y = zerosLike(x);
-	initial = scalar2ndarrayLike(x, 10.0);
-	v = scusumkbn([x, y, initial]);
-
-	expected = new Float32Array([6.0, 1.0]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
-
-	xbuf = new Float32Array([-0.0, 0.0, -0.0]);
-	x = vector(xbuf, 3, 1, 0);
-	y = zerosLike(x);
-	initial = scalar2ndarrayLike(x, -0.0);
-	v = scusumkbn([x, y, initial]);
-
-	expected = new Float32Array([-0.0, 0.0, 0.0]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
-
-	xbuf = new Float32Array([-0.0, -0.0, -0.0]);
-	x = vector(xbuf, 3, 1, 0);
-	y = zerosLike(x);
-	initial = scalar2ndarrayLike(x, -0.0);
-	v = scusumkbn([x, y, initial]);
-
-	expected = new Float32Array([-0.0, -0.0, -0.0]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
-
-	xbuf = new Float32Array([-0.0, -0.0, -0.0]);
-	x = vector(xbuf, 3, 1, 0);
-	y = zerosLike(x);
-	initial = scalar2ndarrayLike(x, 0.0);
-	v = scusumkbn([x, y, initial]);
-
-	expected = new Float32Array([0.0, 0.0, 0.0]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
-
-	xbuf = new Float32Array([NaN]);
-	x = vector(xbuf, 1, 1, 0);
-	y = zerosLike(x);
-	initial = scalar2ndarrayLike(x, 0.0);
-	v = scusumkbn([x, y, initial]);
-
-	expected = new Float32Array([NaN]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
-
-	xbuf = new Float32Array([NaN, NaN]);
-	x = vector(xbuf, 2, 1, 0);
-	y = zerosLike(x);
-	initial = scalar2ndarrayLike(x, NaN);
-	v = scusumkbn([x, y, initial]);
-
-	expected = new Float32Array([NaN, NaN]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+	xbuf = new Float32Array( [1.0, -2.0, -4.0, 5.0, 0.0, 3.0] );
+	x = vector( xbuf, 6, 1, 0 );
+	y = zerosLike( x );
+	initial = scalar2ndarrayLike( x, 0.0 );
+	v = scusumkbn( [x, y, initial] );
+
+	expected = new Float32Array( [1.0, -1.0, -5.0, 0.0, 0.0, 3.0] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float32Array( [-4.0, -5.0] );
+	x = vector( xbuf, 2, 1, 0 );
+	y = zerosLike( x );
+	initial = scalar2ndarrayLike( x, 10.0 );
+	v = scusumkbn( [x, y, initial] );
+
+	expected = new Float32Array( [6.0, 1.0] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float32Array( [-0.0, 0.0, -0.0] );
+	x = vector( xbuf, 3, 1, 0 );
+	y = zerosLike( x );
+	initial = scalar2ndarrayLike( x, -0.0 );
+	v = scusumkbn( [x, y, initial] );
+
+	expected = new Float32Array( [-0.0, 0.0, 0.0] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float32Array( [-0.0, -0.0, -0.0] );
+	x = vector( xbuf, 3, 1, 0 );
+	y = zerosLike( x );
+	initial = scalar2ndarrayLike( x, -0.0 );
+	v = scusumkbn( [x, y, initial] );
+
+	expected = new Float32Array( [-0.0, -0.0, -0.0] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float32Array( [-0.0, -0.0, -0.0] );
+	x = vector( xbuf, 3, 1, 0 );
+	y = zerosLike( x );
+	initial = scalar2ndarrayLike( x, 0.0 );
+	v = scusumkbn( [x, y, initial] );
+
+	expected = new Float32Array( [0.0, 0.0, 0.0] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float32Array( [NaN] );
+	x = vector( xbuf, 1, 1, 0 );
+	y = zerosLike( x );
+	initial = scalar2ndarrayLike( x, 0.0 );
+	v = scusumkbn( [x, y, initial] );
+
+	expected = new Float32Array( [NaN] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float32Array( [NaN, NaN] );
+	x = vector( xbuf, 2, 1, 0 );
+	y = zerosLike( x );
+	initial = scalar2ndarrayLike( x, NaN );
+	v = scusumkbn( [x, y, initial] );
+
+	expected = new Float32Array( [NaN, NaN] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
 
 	t.end();
 });
 
-tape('if provided an empty ndarray, the function returns the output array unchanged', function test(t) {
+tape( 'if provided an empty ndarray, the function returns the output array unchanged', function test( t ) {
 	var expected;
 	var initial;
 	var xbuf;
@@ -149,21 +149,21 @@ tape('if provided an empty ndarray, the function returns the output array unchan
 	var y;
 	var v;
 
-	xbuf = new Float32Array([]);
-	x = vector(xbuf, 0, 1, 0);
-	y = zerosLike(x);
-	initial = scalar2ndarrayLike(x, 100.0);
+	xbuf = new Float32Array( [] );
+	x = vector( xbuf, 0, 1, 0 );
+	y = zerosLike( x );
+	initial = scalar2ndarrayLike( x, 100.0 );
 
-	v = scusumkbn([x, y, initial]);
+	v = scusumkbn( [x, y, initial] );
 
-	expected = new Float32Array([]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+	expected = new Float32Array( [] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), 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 expected;
 	var initial;
 	var xbuf;
@@ -182,7 +182,7 @@ tape('the function supports one-dimensional ndarrays having non-unit strides', f
 		4.0,  // 3
 		2.0
 	]);
-	x = vector(xbuf, 4, 2, 0);
+	x = vector( xbuf, 4, 2, 0 );
 
 	ybuf = new Float32Array([
 		0.0,  // 0
@@ -194,11 +194,11 @@ tape('the function supports one-dimensional ndarrays having non-unit strides', f
 		0.0,  // 3
 		0.0
 	]);
-	y = vector(ybuf, 4, 2, 0);
+	y = vector( ybuf, 4, 2, 0 );
 
-	initial = scalar2ndarrayLike(x, 5.0);
+	initial = scalar2ndarrayLike( x, 5.0 );
 
-	v = scusumkbn([x, y, initial]);
+	v = scusumkbn( [x, y, initial] );
 
 	expected = new Float32Array([
 		6.0,  // 0
@@ -210,12 +210,12 @@ tape('the function supports one-dimensional ndarrays having non-unit strides', f
 		10.0, // 3
 		0.0
 	]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), 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 expected;
 	var initial;
 	var xbuf;
@@ -231,7 +231,7 @@ tape('the function supports one-dimensional ndarrays having negative strides', f
 		4.0,
 		-5.0  // 0
 	]);
-	x = vector(xbuf, 3, -2, 4);
+	x = vector( xbuf, 3, -2, 4 );
 
 	ybuf = new Float32Array([
 		0.0, // 2
@@ -240,11 +240,11 @@ tape('the function supports one-dimensional ndarrays having negative strides', f
 		0.0,
 		0.0
 	]);
-	y = vector(ybuf, 3, -1, 2);
+	y = vector( ybuf, 3, -1, 2 );
 
-	initial = scalar2ndarrayLike(x, 0.0);
+	initial = scalar2ndarrayLike( x, 0.0 );
 
-	v = scusumkbn([x, y, initial]);
+	v = scusumkbn( [x, y, initial] );
 
 	expected = new Float32Array([
 		-1.0, // 2
@@ -253,12 +253,12 @@ tape('the function supports one-dimensional ndarrays having negative strides', f
 		0.0,
 		0.0
 	]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), 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 expected;
 	var initial;
 	var xbuf;
@@ -277,7 +277,7 @@ tape('the function supports one-dimensional ndarrays having non-zero offsets', f
 		3.0,
 		4.0   // 3
 	]);
-	x = vector(xbuf, 4, 2, 1);
+	x = vector( xbuf, 4, 2, 1 );
 
 	ybuf = new Float32Array([
 		0.0,
@@ -289,11 +289,11 @@ tape('the function supports one-dimensional ndarrays having non-zero offsets', f
 		0.0,
 		0.0
 	]);
-	y = vector(ybuf, 4, 1, 2);
+	y = vector( ybuf, 4, 1, 2 );
 
-	initial = scalar2ndarrayLike(x, 0.0);
+	initial = scalar2ndarrayLike( x, 0.0 );
 
-	v = scusumkbn([x, y, initial]);
+	v = scusumkbn( [x, y, initial] );
 
 	expected = new Float32Array([
 		0.0,
@@ -305,7 +305,7 @@ tape('the function supports one-dimensional ndarrays having non-zero offsets', f
 		0.0,
 		0.0
 	]);
-	t.strictEqual(v, y, 'returns expected value');
-	t.strictEqual(isSameFloat32Array(getData(v), expected), true, 'returns expected value');
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
 	t.end();
 });

From 11178d85d40835cef31f9ba966b54c9efdc578b9 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sun, 7 Dec 2025 18:11:48 +0530
Subject: [PATCH 3/4] feat: spacing changes

---
 .../ndarray/scusumkbn/benchmark/benchmark.js  |  6 +--
 .../ndarray/scusumkbn/docs/types/index.d.ts   |  2 +-
 .../base/ndarray/scusumkbn/docs/types/test.ts | 12 ++---
 .../base/ndarray/scusumkbn/examples/index.js  |  4 +-
 .../ext/base/ndarray/scusumkbn/lib/main.js    |  6 +--
 .../ext/base/ndarray/scusumkbn/test/test.js   | 52 +++++++++----------
 6 files changed, 41 insertions(+), 41 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
index ccb586745a5c..309f9485abb1 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
@@ -55,12 +55,12 @@ function createBenchmark(len) {
 	var y;
 
 	xbuf = uniform(len, -10.0, 10.0, options);
-	x = new ndarray(options.dtype, xbuf, [len], [1], 0, 'row-major');
+	x = new ndarray(options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major');
 
 	initial = scalar2ndarray(0.0, options.dtype, 'row-major');
 
 	ybuf = zeros(len, options.dtype);
-	y = new ndarray(options.dtype, ybuf, [len], [1], 0, 'row-major');
+	y = new ndarray(options.dtype, ybuf, [ len ], [ 1 ], 0, 'row-major');
 
 	return benchmark;
 
@@ -70,7 +70,7 @@ function createBenchmark(len) {
 
 		b.tic();
 		for (i = 0; i < b.iterations; i++) {
-			v = scusumkbn([x, y, initial]);
+			v = scusumkbn([ x, y, initial ]);
 			if (typeof v !== 'object') {
 				b.fail('should return an ndarray');
 			}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
index 4a7f8dfb4439..62f21e64d080 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
@@ -51,7 +51,7 @@ import { float32ndarray } from '@stdlib/types/ndarray';
 * var arr = ndarray2array( v );
 * // returns [ 1.0, 4.0, 8.0, 10.0 ]
 */
-declare function scusumkbn( arrays: [float32ndarray, float32ndarray, float32ndarray] ): float32ndarray;
+declare function scusumkbn( arrays: [ float32ndarray, float32ndarray, float32ndarray ] ): float32ndarray;
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts
index 3f935397623b..67a3cbbf6885 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts
@@ -26,17 +26,17 @@ import scusumkbn = require('./index');
 
 // The function returns an ndarray...
 {
-	const x = zeros([10], {
+	const x = zeros([ 10 ], {
 		'dtype': 'float32'
 	});
-	const y = zeros([10], {
+	const y = zeros([ 10 ], {
 		'dtype': 'float32'
 	});
 	const initial = zeros([], {
 		'dtype': 'float32'
 	});
 
-	scusumkbn([x, y, initial]); // $ExpectType float32ndarray
+	scusumkbn([ x, y, initial ]); // $ExpectType float32ndarray
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
@@ -54,10 +54,10 @@ import scusumkbn = 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': 'float32'
 	});
-	const y = zeros([10], {
+	const y = zeros([ 10 ], {
 		'dtype': 'float32'
 	});
 	const initial = zeros([], {
@@ -65,5 +65,5 @@ import scusumkbn = require('./index');
 	});
 
 	scusumkbn(); // $ExpectError
-	scusumkbn([x, y, initial], {}); // $ExpectError
+	scusumkbn([ x, y, initial ], {}); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
index 476e6a8419f5..5e5d278e5a17 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
@@ -28,7 +28,7 @@ var scusumkbn = require( './../lib' );
 var xbuf = discreteUniform(10, -50, 50, {
 	'dtype': 'float32'
 });
-var x = new ndarray('float32', xbuf, [xbuf.length], [1], 0, 'row-major');
+var x = new ndarray('float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major');
 console.log(ndarray2array(x));
 
 var y = zerosLike(x);
@@ -38,5 +38,5 @@ var initial = scalar2ndarray(100.0, {
 	'dtype': 'float32'
 });
 
-var v = scusumkbn([x, y, initial]);
+var v = scusumkbn([ x, y, initial ]);
 console.log(ndarray2array(v));
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
index 32813d04385a..71c5ae4480fb 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
@@ -60,9 +60,9 @@ var strided = require( '@stdlib/blas/ext/base/scusumkbn' ).ndarray;
 * // returns [ 1.0, 4.0, 8.0, 10.0 ]
 */
 function scusumkbn(arrays) {
-	var x = arrays[0];
-	var y = arrays[1];
-	var v = ndarraylike2scalar(arrays[2]);
+	var x = arrays[ 0 ];
+	var y = arrays[ 1 ];
+	var v = ndarraylike2scalar(arrays[ 2 ]);
 	strided(numelDimension(x, 0), v, getData(x), getStride(x, 0), getOffset(x), getData(y), getStride(y, 0), getOffset(y)); // eslint-disable-line max-len
 	return y;
 }
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js
index 164290603438..cf4263efc120 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/test/test.js
@@ -43,7 +43,7 @@ var scusumkbn = require( './../lib' );
 * @returns {ndarray} one-dimensional ndarray
 */
 function vector( buffer, length, stride, offset ) {
-	return new ndarray( 'float32', buffer, [length], [stride], offset, 'row-major' );
+	return new ndarray( 'float32', buffer, [ length ], [ stride ], offset, 'row-major' );
 }
 
 
@@ -68,73 +68,73 @@ tape( 'the function computes the cumulative sum of a one-dimensional ndarray usi
 	var y;
 	var v;
 
-	xbuf = new Float32Array( [1.0, -2.0, -4.0, 5.0, 0.0, 3.0] );
+	xbuf = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
 	x = vector( xbuf, 6, 1, 0 );
 	y = zerosLike( x );
 	initial = scalar2ndarrayLike( x, 0.0 );
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
-	expected = new Float32Array( [1.0, -1.0, -5.0, 0.0, 0.0, 3.0] );
+	expected = new Float32Array( [ 1.0, -1.0, -5.0, 0.0, 0.0, 3.0 ] );
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
 
-	xbuf = new Float32Array( [-4.0, -5.0] );
+	xbuf = new Float32Array( [ -4.0, -5.0 ] );
 	x = vector( xbuf, 2, 1, 0 );
 	y = zerosLike( x );
 	initial = scalar2ndarrayLike( x, 10.0 );
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
-	expected = new Float32Array( [6.0, 1.0] );
+	expected = new Float32Array( [ 6.0, 1.0 ] );
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
 
-	xbuf = new Float32Array( [-0.0, 0.0, -0.0] );
+	xbuf = new Float32Array( [ -0.0, 0.0, -0.0 ] );
 	x = vector( xbuf, 3, 1, 0 );
 	y = zerosLike( x );
 	initial = scalar2ndarrayLike( x, -0.0 );
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
-	expected = new Float32Array( [-0.0, 0.0, 0.0] );
+	expected = new Float32Array( [ -0.0, 0.0, 0.0 ] );
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
 
-	xbuf = new Float32Array( [-0.0, -0.0, -0.0] );
+	xbuf = new Float32Array( [ -0.0, -0.0, -0.0 ] );
 	x = vector( xbuf, 3, 1, 0 );
 	y = zerosLike( x );
 	initial = scalar2ndarrayLike( x, -0.0 );
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
-	expected = new Float32Array( [-0.0, -0.0, -0.0] );
+	expected = new Float32Array( [ -0.0, -0.0, -0.0 ] );
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
 
-	xbuf = new Float32Array( [-0.0, -0.0, -0.0] );
+	xbuf = new Float32Array( [ -0.0, -0.0, -0.0 ] );
 	x = vector( xbuf, 3, 1, 0 );
 	y = zerosLike( x );
 	initial = scalar2ndarrayLike( x, 0.0 );
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
-	expected = new Float32Array( [0.0, 0.0, 0.0] );
+	expected = new Float32Array( [ 0.0, 0.0, 0.0 ] );
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
 
-	xbuf = new Float32Array( [NaN] );
+	xbuf = new Float32Array( [ NaN ] );
 	x = vector( xbuf, 1, 1, 0 );
 	y = zerosLike( x );
 	initial = scalar2ndarrayLike( x, 0.0 );
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
-	expected = new Float32Array( [NaN] );
+	expected = new Float32Array( [ NaN ] );
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
 
-	xbuf = new Float32Array( [NaN, NaN] );
+	xbuf = new Float32Array( [ NaN, NaN ] );
 	x = vector( xbuf, 2, 1, 0 );
 	y = zerosLike( x );
 	initial = scalar2ndarrayLike( x, NaN );
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
-	expected = new Float32Array( [NaN, NaN] );
+	expected = new Float32Array( [ NaN, NaN ] );
 	t.strictEqual( v, y, 'returns expected value' );
 	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
 
@@ -154,7 +154,7 @@ tape( 'if provided an empty ndarray, the function returns the output array uncha
 	y = zerosLike( x );
 	initial = scalar2ndarrayLike( x, 100.0 );
 
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
 	expected = new Float32Array( [] );
 	t.strictEqual( v, y, 'returns expected value' );
@@ -198,7 +198,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 
 	initial = scalar2ndarrayLike( x, 5.0 );
 
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
 	expected = new Float32Array([
 		6.0,  // 0
@@ -244,7 +244,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 
 	initial = scalar2ndarrayLike( x, 0.0 );
 
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
 	expected = new Float32Array([
 		-1.0, // 2
@@ -293,7 +293,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 
 	initial = scalar2ndarrayLike( x, 0.0 );
 
-	v = scusumkbn( [x, y, initial] );
+	v = scusumkbn( [ x, y, initial ] );
 
 	expected = new Float32Array([
 		0.0,

From 34903f241d15c15e83787167c4c15212d4accfc0 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 8 Dec 2025 12:32:01 +0530
Subject: [PATCH 4/4] reviewed changes

---
 .../ndarray/scusumkbn/benchmark/benchmark.js  | 36 +++++++++---------
 .../ext/base/ndarray/scusumkbn/docs/repl.txt  |  4 +-
 .../base/ndarray/scusumkbn/docs/types/test.ts | 38 +++++++++----------
 .../base/ndarray/scusumkbn/examples/index.js  | 16 ++++----
 .../ext/base/ndarray/scusumkbn/lib/index.js   |  2 +-
 .../ext/base/ndarray/scusumkbn/lib/main.js    | 10 ++---
 6 files changed, 53 insertions(+), 53 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
index 309f9485abb1..01dbf9292f67 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
@@ -47,39 +47,39 @@ var options = {
 * @param {PositiveInteger} len - array length
 * @returns {Function} benchmark function
 */
-function createBenchmark(len) {
+function createBenchmark( len ) {
 	var initial;
 	var xbuf;
 	var ybuf;
 	var x;
 	var y;
 
-	xbuf = uniform(len, -10.0, 10.0, options);
-	x = new ndarray(options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major');
+	xbuf = uniform( len, -10.0, 10.0, options );
+	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
 
-	initial = scalar2ndarray(0.0, options.dtype, 'row-major');
+	initial = scalar2ndarray( 0.0, options.dtype, 'row-major' );
 
-	ybuf = zeros(len, options.dtype);
-	y = new ndarray(options.dtype, ybuf, [ len ], [ 1 ], 0, 'row-major');
+	ybuf = zeros( len, options.dtype );
+	y = new ndarray( options.dtype, ybuf, [ 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 = scusumkbn([ x, y, initial ]);
-			if (typeof v !== 'object') {
-				b.fail('should return an ndarray');
+		for ( i = 0; i < b.iterations; i++ ) {
+			v = scusumkbn( [ x, y, initial ] );
+			if ( typeof v !== 'object' ) {
+				b.fail( 'should return an ndarray' );
 			}
 		}
 		b.toc();
-		if (isnanf(v.get(i % len))) {
-			b.fail('should not return NaN');
+		if ( isnanf( v.get( i % len ) ) ) {
+			b.fail( 'should not return NaN' );
 		}
-		b.pass('benchmark finished');
+		b.pass( 'benchmark finished' );
 		b.end();
 	}
 }
@@ -102,10 +102,10 @@ 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/scusumkbn/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/repl.txt
index b329cc71a386..cebd0b256878 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( arrays )
-    Computes the cumulative sum of a one-dimensional single-precision
-    floating-point ndarray using an improved Kahan–Babuška algorithm.
+    Computes the cumulative sum of a one-dimensional single-precision floating-
+    point ndarray using an improved Kahan–Babuška algorithm.
 
     If provided an empty input ndarray, the function returns the output ndarray
     unchanged.
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts
index 67a3cbbf6885..e0ac06996946 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts
@@ -18,52 +18,52 @@
 
 /* eslint-disable space-in-parens */
 
-import zeros = require('@stdlib/ndarray/zeros');
-import scusumkbn = require('./index');
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scusumkbn = require( './index' );
 
 
 // TESTS //
 
 // The function returns an ndarray...
 {
-	const x = zeros([ 10 ], {
+	const x = zeros( [ 10 ], {
 		'dtype': 'float32'
 	});
-	const y = zeros([ 10 ], {
+	const y = zeros( [ 10 ], {
 		'dtype': 'float32'
 	});
-	const initial = zeros([], {
+	const initial = zeros( [], {
 		'dtype': 'float32'
 	});
 
-	scusumkbn([ x, y, initial ]); // $ExpectType float32ndarray
+	scusumkbn( [ x, y, initial ] ); // $ExpectType float32ndarray
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
 {
-	scusumkbn('10'); // $ExpectError
-	scusumkbn(10); // $ExpectError
-	scusumkbn(true); // $ExpectError
-	scusumkbn(false); // $ExpectError
-	scusumkbn(null); // $ExpectError
-	scusumkbn(undefined); // $ExpectError
-	scusumkbn([]); // $ExpectError
-	scusumkbn({}); // $ExpectError
-	scusumkbn((x: number): number => x); // $ExpectError
+	scusumkbn( '10' ); // $ExpectError
+	scusumkbn( 10 ); // $ExpectError
+	scusumkbn( true ); // $ExpectError
+	scusumkbn( false ); // $ExpectError
+	scusumkbn( null ); // $ExpectError
+	scusumkbn( undefined ); // $ExpectError
+	scusumkbn( [] ); // $ExpectError
+	scusumkbn( {} ); // $ExpectError
+	scusumkbn( ( 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': 'float32'
 	});
-	const y = zeros([ 10 ], {
+	const y = zeros( [ 10 ], {
 		'dtype': 'float32'
 	});
-	const initial = zeros([], {
+	const initial = zeros( [], {
 		'dtype': 'float32'
 	});
 
 	scusumkbn(); // $ExpectError
-	scusumkbn([ x, y, initial ], {}); // $ExpectError
+	scusumkbn( [ x, y, initial ], {} ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
index 5e5d278e5a17..7367f44e618c 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
@@ -25,18 +25,18 @@ var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var scusumkbn = require( './../lib' );
 
-var xbuf = discreteUniform(10, -50, 50, {
+var xbuf = discreteUniform( 10, -50, 50, {
 	'dtype': 'float32'
 });
-var x = new ndarray('float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major');
-console.log(ndarray2array(x));
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
 
-var y = zerosLike(x);
-console.log(ndarray2array(y));
+var y = zerosLike( x );
+console.log( ndarray2array( y ) );
 
-var initial = scalar2ndarray(100.0, {
+var initial = scalar2ndarray( 100.0, {
 	'dtype': 'float32'
 });
 
-var v = scusumkbn([ x, y, initial ]);
-console.log(ndarray2array(v));
+var v = scusumkbn( [ x, y, initial ] );
+console.log( ndarray2array( v ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
index 16a371681f40..14a862738af1 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
@@ -34,7 +34,7 @@
 * var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
-* var y = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+* var y = new ndarray( 'float32', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var initial = scalar2ndarray( 0.0, 'float32', 'row-major' );
 *
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
index 71c5ae4480fb..d781aae6030b 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
@@ -34,7 +34,7 @@ var strided = require( '@stdlib/blas/ext/base/scusumkbn' ).ndarray;
 * Computes the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
 *
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray, an output ndarray, and an ndarray containing the initial sum
-* @returns {number} sum
+* @returns {ndarray} output ndarray
 *
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
@@ -46,7 +46,7 @@ var strided = require( '@stdlib/blas/ext/base/scusumkbn' ).ndarray;
 * var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
-* var y = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+* var y = new ndarray( 'float32', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var initial = scalar2ndarray( 0.0, 'float32', 'row-major' );
 *
@@ -59,11 +59,11 @@ var strided = require( '@stdlib/blas/ext/base/scusumkbn' ).ndarray;
 * var arr = ndarray2array( v );
 * // returns [ 1.0, 4.0, 8.0, 10.0 ]
 */
-function scusumkbn(arrays) {
+function scusumkbn( arrays ) {
 	var x = arrays[ 0 ];
 	var y = arrays[ 1 ];
-	var v = ndarraylike2scalar(arrays[ 2 ]);
-	strided(numelDimension(x, 0), v, getData(x), getStride(x, 0), getOffset(x), getData(y), getStride(y, 0), getOffset(y)); // eslint-disable-line max-len
+	var v = ndarraylike2scalar( arrays[ 2 ] );
+	strided( numelDimension( x, 0 ), v, getData( x ), getStride( x, 0 ), getOffset( x ), getData( y ), getStride( y, 0 ), getOffset( y ) ); // eslint-disable-line max-len
 	return y;
 }