From 0476ac967f49c2df7ff2abc142461c89979e28cb Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 15 Dec 2025 20:08:41 +0530
Subject: [PATCH 1/4] feat: add blas/ext/base/ndarray/scusumpw

---
 .../blas/ext/base/ndarray/scusumpw/README.md  | 146 ++++++++
 .../ndarray/scusumpw/benchmark/benchmark.js   | 112 +++++++
 .../ext/base/ndarray/scusumpw/docs/repl.txt   |  39 +++
 .../ndarray/scusumpw/docs/types/index.d.ts    |  59 ++++
 .../base/ndarray/scusumpw/docs/types/test.ts  |  69 ++++
 .../base/ndarray/scusumpw/examples/index.js   |  42 +++
 .../ext/base/ndarray/scusumpw/lib/index.js    |  58 ++++
 .../ext/base/ndarray/scusumpw/lib/main.js     |  73 ++++
 .../ext/base/ndarray/scusumpw/package.json    |  70 ++++
 .../ext/base/ndarray/scusumpw/test/test.js    | 311 ++++++++++++++++++
 10 files changed, 979 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/README.md
new file mode 100644
index 000000000000..2f838366f107
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/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.
+
+-->
+
+# scusumpw
+
+> Compute the cumulative sum of a one-dimensional single-precision floating-point ndarray using pairwise summation.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var scusumpw = require( '@stdlib/blas/ext/base/ndarray/scusumpw' );
+```
+
+#### scusumpw( arrays )
+
+Computes the cumulative sum of a one-dimensional single-precision floating-point ndarray using pairwise summation.
+
+```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 = scusumpw( [ 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 scusumpw = require( '@stdlib/blas/ext/base/ndarray/scusumpw' );
+
+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 = scusumpw( [ x, y, initial ] );
+console.log( ndarray2array( v ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<section class="references">
+
+## References
+
+-   Higham, Nicholas J. 1993. "The Accuracy of Floating Point Summation." _SIAM Journal on Scientific Computing_ 14 (4): 783–99. doi:[10.1137/0914050][@higham:1993a].
+
+</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">
+
+[@higham:1993a]: https://doi.org/10.1137/0914050
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/benchmark/benchmark.js
new file mode 100644
index 000000000000..1412a2919737
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/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 scusumpw = 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 = scusumpw( [ 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/scusumpw/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/docs/repl.txt
new file mode 100644
index 000000000000..706e940e7a93
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/docs/repl.txt
@@ -0,0 +1,39 @@
+
+{{alias}}( arrays )
+    Computes the cumulative sum of a one-dimensional single-precision floating-
+    point ndarray using pairwise summation.
+
+    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/scusumpw/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/docs/types/index.d.ts
new file mode 100644
index 000000000000..f9b4fd89e251
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/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 pairwise summation.
+*
+* @param arrays - array-like object containing an input ndarray, an output ndarray, and an 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 = scusumpw( [ 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 scusumpw( arrays: [ float32ndarray, float32ndarray, float32ndarray ] ): float32ndarray;
+
+
+// EXPORTS //
+
+export = scusumpw;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/docs/types/test.ts
new file mode 100644
index 000000000000..aeaf503a74c4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/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 scusumpw = 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'
+	});
+
+	scusumpw( [ 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...
+{
+	scusumpw( '10' ); // $ExpectError
+	scusumpw( 10 ); // $ExpectError
+	scusumpw( true ); // $ExpectError
+	scusumpw( false ); // $ExpectError
+	scusumpw( null ); // $ExpectError
+	scusumpw( undefined ); // $ExpectError
+	scusumpw( [] ); // $ExpectError
+	scusumpw( {} ); // $ExpectError
+	scusumpw( ( 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'
+	});
+
+	scusumpw(); // $ExpectError
+	scusumpw( [ x, y, initial ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/examples/index.js
new file mode 100644
index 000000000000..e2d22ede90b5
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/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 scusumpw = 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 = scusumpw( [ x, y, initial ] );
+console.log( ndarray2array( v ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/lib/index.js
new file mode 100644
index 000000000000..67343edbb273
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/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 pairwise summation.
+*
+* @module @stdlib/blas/ext/base/ndarray/scusumpw
+*
+* @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 scusumpw = require( '@stdlib/blas/ext/base/ndarray/scusumpw' );
+*
+* 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 = scusumpw( [ 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/scusumpw/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/lib/main.js
new file mode 100644
index 000000000000..2ae8f9abbcc2
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/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/scusumpw' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the cumulative sum of a one-dimensional single-precision floating-point ndarray using pairwise summation.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray, an output ndarray, and an ndarray containing the initial sum
+* @returns {Object} output ndarray
+*
+* @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', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var initial = scalar2ndarray( 0.0, 'float32', 'row-major' );
+*
+* var v = scusumpw( [ 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 scusumpw( 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 = scusumpw;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/package.json
new file mode 100644
index 000000000000..7e5daace723c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/package.json
@@ -0,0 +1,70 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/scusumpw",
+  "version": "0.0.0",
+  "description": "Compute the cumulative sum of a one-dimensional single-precision floating-point ndarray using pairwise summation",
+  "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",
+    "pairwise",
+    "compensated",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js
new file mode 100644
index 000000000000..a3c557ac22b5
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/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 scusumpw = 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 scusumpw, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( scusumpw.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function computes the cumulative sum of a one-dimensional ndarray', 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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 e62c1e84b40aa48a06c89b29cd85f1309a50a679 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 15 Dec 2025 20:58:33 +0530
Subject: [PATCH 2/4] lint

---
 .../ext/base/ndarray/scusumpw/test/test.js    | 30 -------------------
 1 file changed, 30 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js
index a3c557ac22b5..32bc18e9bf0a 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js
@@ -88,36 +88,6 @@ tape( 'the function computes the cumulative sum of a one-dimensional ndarray', f
 	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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 );

From b46373320c51303e59495512d5847468d9a19119 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 15 Dec 2025 21:10:13 +0530
Subject: [PATCH 3/4] adjusted examples

---
 .../ext/base/ndarray/scusumpw/test/test.js    | 30 +++++++++++++++++++
 1 file changed, 30 insertions(+)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js
index 32bc18e9bf0a..2de4b06d4c80 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/test/test.js
@@ -88,6 +88,36 @@ tape( 'the function computes the cumulative sum of a one-dimensional ndarray', f
 	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 = scusumpw( [ 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 = scusumpw( [ 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 = scusumpw( [ 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 );

From 0514a242e5c9d0d58606219e0a75316acf9b1dce Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Tue, 16 Dec 2025 12:39:52 +0530
Subject: [PATCH 4/4] add note

---
 .../@stdlib/blas/ext/base/ndarray/scusumpw/README.md             | 1 +
 1 file changed, 1 insertion(+)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/README.md
index 2f838366f107..8080c06cfa4f 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumpw/README.md
@@ -77,6 +77,7 @@ The function has the following parameters:
 ## Notes
 
 -   If provided an empty one-dimensional input ndarray, the function returns the output ndarray unchanged.
+-   In general, pairwise summation is more numerically stable than ordinary recursive summation (i.e., "simple" summation), with slightly worse performance. While not the most numerically stable summation technique (e.g., compensated summation techniques such as the Kahan–Babuška-Neumaier algorithm are generally more numerically stable), pairwise summation strikes a reasonable balance between numerical stability and performance. If either numerical stability or performance is more desirable for your use case, consider alternative summation techniques.
 
 </section>