From 27e9be88ad0d436c3b45e32fe5f6335a931ef418 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Wed, 17 Dec 2025 16:02:52 +0530
Subject: [PATCH 1/5] feat: add blas/ext/base/ndarray/dnansumors

---
 .../ext/base/ndarray/dnansumors/README.md     | 126 ++++++++++++
 .../ndarray/dnansumors/benchmark/benchmark.js | 117 +++++++++++
 .../ext/base/ndarray/dnansumors/docs/repl.txt |  32 +++
 .../ndarray/dnansumors/docs/types/index.d.ts  |  46 +++++
 .../ndarray/dnansumors/docs/types/test.ts     |  57 ++++++
 .../base/ndarray/dnansumors/examples/index.js |  40 ++++
 .../ext/base/ndarray/dnansumors/lib/index.js  |  45 +++++
 .../ext/base/ndarray/dnansumors/lib/main.js   |  56 ++++++
 .../ext/base/ndarray/dnansumors/package.json  |  72 +++++++
 .../ext/base/ndarray/dnansumors/test/test.js  | 188 ++++++++++++++++++
 10 files changed, 779 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/README.md
new file mode 100644
index 000000000000..1e9f0d7dd36b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/README.md
@@ -0,0 +1,126 @@
+<!--
+
+@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.
+
+-->
+
+# dnansumors
+
+> Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var dnansumors = require( '@stdlib/blas/ext/base/ndarray/dnansumors' );
+```
+
+#### dnansumors( arrays )
+
+Computes the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
+var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var v = dnansumors( [ x ] );
+// returns 1.0
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing a one-dimensional input ndarray.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If provided an empty one-dimensional ndarray, the function returns `0.0`.
+-   Ordinary recursive summation (i.e., a "simple" sum) is performant, but can incur significant numerical error. If performance is paramount and error tolerated, using ordinary recursive summation is acceptable; in all other cases, exercise due caution.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dnansumors = require( '@stdlib/blas/ext/base/ndarray/dnansumors' );
+
+function clbk() {
+    if ( bernoulli( 0.7 ) > 0 ) {
+        return discreteUniform( 0, 100 );
+    }
+    return NaN;
+}
+
+var xbuf = filledarrayBy( 10, 'float64', clbk );
+var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = dnansumors( [ x ] );
+console.log( v );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<section class="references">
+
+</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">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/benchmark/benchmark.js
new file mode 100644
index 000000000000..e0a4eea23064
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/benchmark/benchmark.js
@@ -0,0 +1,117 @@
+/**
+* @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/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var pkg = require( './../package.json' ).name;
+var dnansumors = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Returns a random number or NaN.
+*
+* @private
+* @returns {number} random number or NaN
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) > 0 ) {
+		return uniform( -10.0, 10.0 );
+	}
+	return NaN;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var xbuf;
+	var x;
+
+	xbuf = filledarrayBy( len, options.dtype, rand );
+	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+	return benchmark;
+
+	function benchmark( b ) {
+		var v;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			v = dnansumors( [ x ] );
+			if ( isnan( v ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( v ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( pkg+':len='+len, f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/repl.txt
new file mode 100644
index 000000000000..49f94cf10834
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/repl.txt
@@ -0,0 +1,32 @@
+
+{{alias}}( arrays )
+    Computes the sum of a one-dimensional double-precision floating-point
+    ndarray, ignoring `NaN` values and using ordinary recursive summation.
+
+    If provided an empty ndarray, the function returns `0.0`.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing a one-dimensional input ndarray.
+
+    Returns
+    -------
+    out: number
+        Sum.
+
+    Examples
+    --------
+    > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] );
+    > var dt = 'float64';
+    > var sh = [ xbuf.length ];
+    > var sx = [ 1 ];
+    > var ox = 0;
+    > var ord = 'row-major';
+    > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord );
+    > {{alias}}( [ x ] )
+    1.0
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/index.d.ts
new file mode 100644
index 000000000000..6e90274fb809
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/index.d.ts
@@ -0,0 +1,46 @@
+/*
+* @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 { float64ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
+*
+* @param arrays - array-like object containing an input ndarray
+* @returns sum
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dnansumors( [ x ] );
+* // returns 1.0
+*/
+declare function dnansumors( arrays: [ float64ndarray ] ): number;
+
+
+// EXPORTS //
+
+export = dnansumors;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/test.ts
new file mode 100644
index 000000000000..973f99c23e0e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/test.ts
@@ -0,0 +1,57 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import dnansumors = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float64'
+	});
+
+	dnansumors( [ x ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	dnansumors( '10' ); // $ExpectError
+	dnansumors( 10 ); // $ExpectError
+	dnansumors( true ); // $ExpectError
+	dnansumors( false ); // $ExpectError
+	dnansumors( null ); // $ExpectError
+	dnansumors( undefined ); // $ExpectError
+	dnansumors( [] ); // $ExpectError
+	dnansumors( {} ); // $ExpectError
+	dnansumors( ( 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': 'float64'
+	});
+
+	dnansumors(); // $ExpectError
+	dnansumors( [ x ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/examples/index.js
new file mode 100644
index 000000000000..dc63bb18c626
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/examples/index.js
@@ -0,0 +1,40 @@
+/**
+* @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 bernoulli = require( '@stdlib/random/base/bernoulli' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dnansumors = require( './../lib' );
+
+function clbk() {
+	if ( bernoulli( 0.7 ) > 0 ) {
+		return discreteUniform( 0, 100 );
+	}
+	return NaN;
+}
+
+var xbuf = filledarrayBy( 10, 'float64', clbk );
+var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = dnansumors( [ x ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/index.js
new file mode 100644
index 000000000000..43bbcd460fad
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/index.js
@@ -0,0 +1,45 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
+*
+* @module @stdlib/blas/ext/base/ndarray/dnansumors
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var dnansumors = require( '@stdlib/blas/ext/base/ndarray/dnansumors' );
+*
+* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dnansumors( [ x ] );
+* // returns 1.0
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/main.js
new file mode 100644
index 000000000000..66d28a382dc1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/main.js
@@ -0,0 +1,56 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var strided = require( '@stdlib/blas/ext/base/dnansumors' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray
+* @returns {number} sum
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dnansumors( [ x ] );
+* // returns 1.0
+*/
+function dnansumors( arrays ) {
+	var x = arrays[ 0 ];
+	return strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dnansumors;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/package.json
new file mode 100644
index 000000000000..845185426018
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/package.json
@@ -0,0 +1,72 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/dnansumors",
+  "version": "0.0.0",
+  "description": "Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive 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",
+    "sum",
+    "total",
+    "summation",
+    "compensated",
+    "ordinary",
+    "recursive",
+    "ndarray",
+    "float64",
+    "double",
+    "float64array"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/test/test.js
new file mode 100644
index 000000000000..57ae2ddd64f4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/test/test.js
@@ -0,0 +1,188 @@
+/**
+* @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 isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var dnansumors = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Float64Array} 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( 'float64', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dnansumors, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( dnansumors.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function computes the sum of a one-dimensional ndarray, ignoring `NaN` values and using ordinary recursive summation', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, NaN, 3.0, 0.0, -3.0, 3.0, NaN ] ); // eslint-disable-line max-len
+	v = dnansumors( [ vector( x, 11, 1, 0 ) ] );
+	t.strictEqual( v, 3.0, 'returns expected value' );
+
+	x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0, NaN ] );
+	v = dnansumors( [ vector( x, 8, 1, 0 ) ] );
+	t.strictEqual( v, 3.0, 'returns expected value' );
+
+	x = new Float64Array( [ -4.0, NaN, -4.0 ] );
+	v = dnansumors( [ vector( x, 3, 1, 0 ) ] );
+	t.strictEqual( v, -8.0, 'returns expected value' );
+
+	x = new Float64Array( [ NaN, 4.0 ] );
+	v = dnansumors( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( v, 4.0, 'returns expected value' );
+
+	x = new Float64Array( [ -0.0, 0.0, -0.0 ] );
+	v = dnansumors( [ vector( x, 3, 1, 0 ) ] );
+	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+
+	x = new Float64Array( [ NaN, NaN ] );
+	v = dnansumors( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( v, 0.0, 'returns expected value' );
+
+	x = new Float64Array( [ NaN ] );
+	v = dnansumors( [ vector( x, 1, 1, 0 ) ] );
+	t.strictEqual( v, 0.0, 'returns expected value' );
+
+	x = new Float64Array( [ 4.0 ] );
+	v = dnansumors( [ vector( x, 1, 1, 0 ) ] );
+	t.strictEqual( v, 4.0, 'returns expected value' );
+
+	x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] );
+	v = dnansumors( [ vector( x, 4, 1, 0 ) ] );
+	t.strictEqual( v, 2.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an empty ndarray, the function returns `0.0`', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array( [] );
+
+	v = dnansumors( [ vector( x, 0, 1, 0 ) ] );
+	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a ndarray containing a single element, the function returns that element', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array( [ 1.0 ] );
+
+	v = dnansumors( [ vector( x, 1, 1, 0 ) ] );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	]);
+
+	v = dnansumors( [ vector( x, 4, 2, 0 ) ] );
+
+	t.strictEqual( v, 5.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array([
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	]);
+
+	v = dnansumors( [ vector( x, 4, -2, 6 ) ] );
+
+	t.strictEqual( v, 5.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0   // 3
+	]);
+
+	v = dnansumors( [ vector( x, 4, 2, 1 ) ] );
+	t.strictEqual( v, 5.0, 'returns expected value' );
+
+	t.end();
+});

From 4a709fb5a6550cddbe2f5bfaac19d3675465226a Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Thu, 18 Dec 2025 21:17:52 +0530
Subject: [PATCH 2/5] feat: add blas/ext/base/ndarray/snansumors

---
 .../{dnansumors => snansumors}/README.md      | 26 +++----
 .../benchmark/benchmark.js                    | 13 ++--
 .../{dnansumors => snansumors}/docs/repl.txt  |  6 +-
 .../docs/types/index.d.ts                     | 16 ++--
 .../docs/types/test.ts                        | 31 ++++----
 .../examples/index.js                         |  8 +-
 .../{dnansumors => snansumors}/lib/index.js   | 15 ++--
 .../{dnansumors => snansumors}/lib/main.js    | 16 ++--
 .../{dnansumors => snansumors}/package.json   | 10 +--
 .../{dnansumors => snansumors}/test/test.js   | 75 +++++++++----------
 10 files changed, 106 insertions(+), 110 deletions(-)
 rename lib/node_modules/@stdlib/blas/ext/base/ndarray/{dnansumors => snansumors}/README.md (80%)
 rename lib/node_modules/@stdlib/blas/ext/base/ndarray/{dnansumors => snansumors}/benchmark/benchmark.js (91%)
 rename lib/node_modules/@stdlib/blas/ext/base/ndarray/{dnansumors => snansumors}/docs/repl.txt (80%)
 rename lib/node_modules/@stdlib/blas/ext/base/ndarray/{dnansumors => snansumors}/docs/types/index.d.ts (70%)
 rename lib/node_modules/@stdlib/blas/ext/base/ndarray/{dnansumors => snansumors}/docs/types/test.ts (65%)
 rename lib/node_modules/@stdlib/blas/ext/base/ndarray/{dnansumors => snansumors}/examples/index.js (85%)
 rename lib/node_modules/@stdlib/blas/ext/base/ndarray/{dnansumors => snansumors}/lib/index.js (70%)
 rename lib/node_modules/@stdlib/blas/ext/base/ndarray/{dnansumors => snansumors}/lib/main.js (77%)
 rename lib/node_modules/@stdlib/blas/ext/base/ndarray/{dnansumors => snansumors}/package.json (89%)
 rename lib/node_modules/@stdlib/blas/ext/base/ndarray/{dnansumors => snansumors}/test/test.js (63%)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/README.md
similarity index 80%
rename from lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/README.md
rename to lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/README.md
index 1e9f0d7dd36b..436710c54dd2 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/README.md
@@ -18,9 +18,9 @@ limitations under the License.
 
 -->
 
-# dnansumors
+# snansumors
 
-> Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
+> Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
 
 <section class="intro">
 
@@ -33,21 +33,21 @@ limitations under the License.
 ## Usage
 
 ```javascript
-var dnansumors = require( '@stdlib/blas/ext/base/ndarray/dnansumors' );
+var snansumors = require( '@stdlib/blas/ext/base/ndarray/snansumors' );
 ```
 
-#### dnansumors( arrays )
+#### snansumors( arrays )
 
-Computes the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
+Computes the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
 
 ```javascript
-var Float64Array = require( '@stdlib/array/float64' );
+var Float32Array = require( '@stdlib/array/float32' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 
-var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+var xbuf = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
+var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 
-var v = dnansumors( [ x ] );
+var v = snansumors( [ x ] );
 // returns 1.0
 ```
 
@@ -82,7 +82,7 @@ var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
 var filledarrayBy = require( '@stdlib/array/filled-by' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
-var dnansumors = require( '@stdlib/blas/ext/base/ndarray/dnansumors' );
+var snansumors = require( '@stdlib/blas/ext/base/ndarray/snansumors' );
 
 function clbk() {
     if ( bernoulli( 0.7 ) > 0 ) {
@@ -91,11 +91,11 @@ function clbk() {
     return NaN;
 }
 
-var xbuf = filledarrayBy( 10, 'float64', clbk );
-var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+var xbuf = filledarrayBy( 10, 'float32', clbk );
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( x ) );
 
-var v = dnansumors( [ x ] );
+var v = snansumors( [ x ] );
 console.log( v );
 ```
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/benchmark/benchmark.js
similarity index 91%
rename from lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/benchmark/benchmark.js
rename to lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/benchmark/benchmark.js
index e0a4eea23064..b0b56c23b4f2 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/benchmark/benchmark.js
@@ -24,17 +24,16 @@ var bench = require( '@stdlib/bench' );
 var uniform = require( '@stdlib/random/base/uniform' );
 var bernoulli = require( '@stdlib/random/base/bernoulli' );
 var filledarrayBy = require( '@stdlib/array/filled-by' );
-var isnan = require( '@stdlib/math/base/assert/is-nan' );
+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 pkg = require( './../package.json' ).name;
-var dnansumors = require( './../lib' );
-
+var snansumors = require( './../lib' );
 
 // VARIABLES //
 
 var options = {
-	'dtype': 'float64'
+	'dtype': 'float32'
 };
 
 
@@ -75,13 +74,13 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			v = dnansumors( [ x ] );
-			if ( isnan( v ) ) {
+			v = snansumors( [ x ] );
+			if ( isnanf( v ) ) {
 				b.fail( 'should not return NaN' );
 			}
 		}
 		b.toc();
-		if ( isnan( v ) ) {
+		if ( isnanf( v ) ) {
 			b.fail( 'should not return NaN' );
 		}
 		b.pass( 'benchmark finished' );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/docs/repl.txt
similarity index 80%
rename from lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/repl.txt
rename to lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/docs/repl.txt
index 49f94cf10834..da3f88829ce9 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/docs/repl.txt
@@ -1,6 +1,6 @@
 
 {{alias}}( arrays )
-    Computes the sum of a one-dimensional double-precision floating-point
+    Computes the sum of a one-dimensional single-precision floating-point
     ndarray, ignoring `NaN` values and using ordinary recursive summation.
 
     If provided an empty ndarray, the function returns `0.0`.
@@ -17,8 +17,8 @@
 
     Examples
     --------
-    > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] );
-    > var dt = 'float64';
+    > var xbuf = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, NaN, 2.0 ] );
+    > var dt = 'float32';
     > var sh = [ xbuf.length ];
     > var sx = [ 1 ];
     > var ox = 0;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/docs/types/index.d.ts
similarity index 70%
rename from lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/index.d.ts
rename to lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/docs/types/index.d.ts
index 6e90274fb809..b112601bcbd4 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/docs/types/index.d.ts
@@ -20,27 +20,27 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { float64ndarray } from '@stdlib/types/ndarray';
+import { float32ndarray } from '@stdlib/types/ndarray';
 
 /**
-* Computes the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
+* Computes the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
 *
 * @param arrays - array-like object containing an input ndarray
 * @returns sum
 *
 * @example
-* var Float64Array = require( '@stdlib/array/float64' );
+* var Float32Array = require( '@stdlib/array/float32' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 *
-* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+* var xbuf = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
-* var v = dnansumors( [ x ] );
+* var v = snansumors( [ x ] );
 * // returns 1.0
 */
-declare function dnansumors( arrays: [ float64ndarray ] ): number;
+declare function snansumors( arrays: [ float32ndarray ] ): number;
 
 
 // EXPORTS //
 
-export = dnansumors;
+export = snansumors;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/docs/types/test.ts
similarity index 65%
rename from lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/test.ts
rename to lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/docs/types/test.ts
index 973f99c23e0e..4d88794eaed3 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/docs/types/test.ts
@@ -19,39 +19,38 @@
 /* eslint-disable space-in-parens */
 
 import zeros = require( '@stdlib/ndarray/zeros' );
-import dnansumors = require( './index' );
-
+import snansumors = require( './index' );
 
 // TESTS //
 
 // The function returns a number...
 {
 	const x = zeros( [ 10 ], {
-		'dtype': 'float64'
+		'dtype': 'float32'
 	});
 
-	dnansumors( [ x ] ); // $ExpectType number
+	snansumors( [ x ] ); // $ExpectType number
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
 {
-	dnansumors( '10' ); // $ExpectError
-	dnansumors( 10 ); // $ExpectError
-	dnansumors( true ); // $ExpectError
-	dnansumors( false ); // $ExpectError
-	dnansumors( null ); // $ExpectError
-	dnansumors( undefined ); // $ExpectError
-	dnansumors( [] ); // $ExpectError
-	dnansumors( {} ); // $ExpectError
-	dnansumors( ( x: number ): number => x ); // $ExpectError
+	snansumors( '10' ); // $ExpectError
+	snansumors( 10 ); // $ExpectError
+	snansumors( true ); // $ExpectError
+	snansumors( false ); // $ExpectError
+	snansumors( null ); // $ExpectError
+	snansumors( undefined ); // $ExpectError
+	snansumors( [] ); // $ExpectError
+	snansumors( {} ); // $ExpectError
+	snansumors( ( 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': 'float64'
+		'dtype': 'float32'
 	});
 
-	dnansumors(); // $ExpectError
-	dnansumors( [ x ], {} ); // $ExpectError
+	snansumors(); // $ExpectError
+	snansumors( [ x ], {} ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/examples/index.js
similarity index 85%
rename from lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/examples/index.js
rename to lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/examples/index.js
index dc63bb18c626..946107b0d30b 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/examples/index.js
@@ -23,7 +23,7 @@ var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
 var filledarrayBy = require( '@stdlib/array/filled-by' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
-var dnansumors = require( './../lib' );
+var snansumors = require( './../lib' );
 
 function clbk() {
 	if ( bernoulli( 0.7 ) > 0 ) {
@@ -32,9 +32,9 @@ function clbk() {
 	return NaN;
 }
 
-var xbuf = filledarrayBy( 10, 'float64', clbk );
-var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+var xbuf = filledarrayBy( 10, 'float32', clbk );
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( x ) );
 
-var v = dnansumors( [ x ] );
+var v = snansumors( [ x ] );
 console.log( v );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/lib/index.js
similarity index 70%
rename from lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/index.js
rename to lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/lib/index.js
index 43bbcd460fad..933dc6233d3b 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/lib/index.js
@@ -19,19 +19,19 @@
 'use strict';
 
 /**
-* Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
+* Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
 *
-* @module @stdlib/blas/ext/base/ndarray/dnansumors
+* @module @stdlib/blas/ext/base/ndarray/snansumors
 *
 * @example
-* var Float64Array = require( '@stdlib/array/float64' );
+* var Float32Array = require( '@stdlib/array/float32' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
-* var dnansumors = require( '@stdlib/blas/ext/base/ndarray/dnansumors' );
+* var snansumors = require( '@stdlib/blas/ext/base/ndarray/snansumors' );
 *
-* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+* var xbuf = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
-* var v = dnansumors( [ x ] );
+* var v = snansumors( [ x ] );
 * // returns 1.0
 */
 
@@ -39,7 +39,6 @@
 
 var main = require( './main.js' );
 
-
 // EXPORTS //
 
 module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/lib/main.js
similarity index 77%
rename from lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/main.js
rename to lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/lib/main.js
index 66d28a382dc1..2a11e6a12eea 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/lib/main.js
@@ -24,28 +24,28 @@ var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
 var getStride = require( '@stdlib/ndarray/base/stride' );
 var getOffset = require( '@stdlib/ndarray/base/offset' );
 var getData = require( '@stdlib/ndarray/base/data-buffer' );
-var strided = require( '@stdlib/blas/ext/base/dnansumors' ).ndarray;
+var strided = require( '@stdlib/blas/ext/base/snansumors' ).ndarray;
 
 
 // MAIN //
 
 /**
-* Computes the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
+* Computes the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
 *
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray
 * @returns {number} sum
 *
 * @example
-* var Float64Array = require( '@stdlib/array/float64' );
+* var Float32Array = require( '@stdlib/array/float32' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 *
-* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+* var xbuf = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
-* var v = dnansumors( [ x ] );
+* var v = snansumors( [ x ] );
 * // returns 1.0
 */
-function dnansumors( arrays ) {
+function snansumors( arrays ) {
 	var x = arrays[ 0 ];
 	return strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
 }
@@ -53,4 +53,4 @@ function dnansumors( arrays ) {
 
 // EXPORTS //
 
-module.exports = dnansumors;
+module.exports = snansumors;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/package.json
similarity index 89%
rename from lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/package.json
rename to lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/package.json
index 845185426018..5c9fb9c66dd1 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/package.json
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/package.json
@@ -1,7 +1,7 @@
 {
-  "name": "@stdlib/blas/ext/base/ndarray/dnansumors",
+  "name": "@stdlib/blas/ext/base/ndarray/snansumors",
   "version": "0.0.0",
-  "description": "Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.",
+  "description": "Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",
@@ -64,9 +64,9 @@
     "ordinary",
     "recursive",
     "ndarray",
-    "float64",
-    "double",
-    "float64array"
+    "float32",
+    "single",
+    "float32array"
   ],
   "__stdlib__": {}
 }
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js
similarity index 63%
rename from lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/test/test.js
rename to lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js
index 57ae2ddd64f4..2ad232405a95 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumors/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js
@@ -21,11 +21,10 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
-var Float64Array = require( '@stdlib/array/float64' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
+var Float32Array = require( '@stdlib/array/float32' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
-var dnansumors = require( './../lib' );
-
+var snansumors = require( './../lib' );
 
 // FUNCTIONS //
 
@@ -33,14 +32,14 @@ var dnansumors = require( './../lib' );
 * Returns a one-dimensional ndarray.
 *
 * @private
-* @param {Float64Array} buffer - underlying data buffer
+* @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( 'float64', buffer, [ length ], [ stride ], offset, 'row-major' );
+	return new ndarray( 'float32', buffer, [ length ], [ stride ], offset, 'row-major' );
 }
 
 
@@ -48,12 +47,12 @@ function vector( buffer, length, stride, offset ) {
 
 tape( 'main export is a function', function test( t ) {
 	t.ok( true, __filename );
-	t.strictEqual( typeof dnansumors, 'function', 'main export is a function' );
+	t.strictEqual( typeof snansumors, 'function', 'main export is a function' );
 	t.end();
 });
 
 tape( 'the function has an arity of 1', function test( t ) {
-	t.strictEqual( dnansumors.length, 1, 'has expected arity' );
+	t.strictEqual( snansumors.length, 1, 'has expected arity' );
 	t.end();
 });
 
@@ -61,40 +60,40 @@ tape( 'the function computes the sum of a one-dimensional ndarray, ignoring `NaN
 	var x;
 	var v;
 
-	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, NaN, 3.0, 0.0, -3.0, 3.0, NaN ] ); // eslint-disable-line max-len
-	v = dnansumors( [ vector( x, 11, 1, 0 ) ] );
+	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, NaN, 3.0, 0.0, -3.0, 3.0, NaN ] ); // eslint-disable-line max-len
+	v = snansumors( [ vector( x, 11, 1, 0 ) ] );
 	t.strictEqual( v, 3.0, 'returns expected value' );
 
-	x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0, NaN ] );
-	v = dnansumors( [ vector( x, 8, 1, 0 ) ] );
+	x = new Float32Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0, NaN ] );
+	v = snansumors( [ vector( x, 8, 1, 0 ) ] );
 	t.strictEqual( v, 3.0, 'returns expected value' );
 
-	x = new Float64Array( [ -4.0, NaN, -4.0 ] );
-	v = dnansumors( [ vector( x, 3, 1, 0 ) ] );
+	x = new Float32Array( [ -4.0, NaN, -4.0 ] );
+	v = snansumors( [ vector( x, 3, 1, 0 ) ] );
 	t.strictEqual( v, -8.0, 'returns expected value' );
 
-	x = new Float64Array( [ NaN, 4.0 ] );
-	v = dnansumors( [ vector( x, 2, 1, 0 ) ] );
+	x = new Float32Array( [ NaN, 4.0 ] );
+	v = snansumors( [ vector( x, 2, 1, 0 ) ] );
 	t.strictEqual( v, 4.0, 'returns expected value' );
 
-	x = new Float64Array( [ -0.0, 0.0, -0.0 ] );
-	v = dnansumors( [ vector( x, 3, 1, 0 ) ] );
-	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+	x = new Float32Array( [ -0.0, 0.0, -0.0 ] );
+	v = snansumors( [ vector( x, 3, 1, 0 ) ] );
+	t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
 
-	x = new Float64Array( [ NaN, NaN ] );
-	v = dnansumors( [ vector( x, 2, 1, 0 ) ] );
+	x = new Float32Array( [ NaN, NaN ] );
+	v = snansumors( [ vector( x, 2, 1, 0 ) ] );
 	t.strictEqual( v, 0.0, 'returns expected value' );
 
-	x = new Float64Array( [ NaN ] );
-	v = dnansumors( [ vector( x, 1, 1, 0 ) ] );
+	x = new Float32Array( [ NaN ] );
+	v = snansumors( [ vector( x, 1, 1, 0 ) ] );
 	t.strictEqual( v, 0.0, 'returns expected value' );
 
-	x = new Float64Array( [ 4.0 ] );
-	v = dnansumors( [ vector( x, 1, 1, 0 ) ] );
+	x = new Float32Array( [ 4.0 ] );
+	v = snansumors( [ vector( x, 1, 1, 0 ) ] );
 	t.strictEqual( v, 4.0, 'returns expected value' );
 
-	x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] );
-	v = dnansumors( [ vector( x, 4, 1, 0 ) ] );
+	x = new Float32Array( [ 1.0, 1.0e38, 1.0, -1.0e38 ] );
+	v = snansumors( [ vector( x, 4, 1, 0 ) ] );
 	t.strictEqual( v, 2.0, 'returns expected value' );
 
 	t.end();
@@ -104,10 +103,10 @@ tape( 'if provided an empty ndarray, the function returns `0.0`', function test(
 	var x;
 	var v;
 
-	x = new Float64Array( [] );
+	x = new Float32Array( [] );
 
-	v = dnansumors( [ vector( x, 0, 1, 0 ) ] );
-	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+	v = snansumors( [ vector( x, 0, 1, 0 ) ] );
+	t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
 
 	t.end();
 });
@@ -116,9 +115,9 @@ tape( 'if provided a ndarray containing a single element, the function returns t
 	var x;
 	var v;
 
-	x = new Float64Array( [ 1.0 ] );
+	x = new Float32Array( [ 1.0 ] );
 
-	v = dnansumors( [ vector( x, 1, 1, 0 ) ] );
+	v = snansumors( [ vector( x, 1, 1, 0 ) ] );
 	t.strictEqual( v, 1.0, 'returns expected value' );
 
 	t.end();
@@ -128,7 +127,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 	var x;
 	var v;
 
-	x = new Float64Array([
+	x = new Float32Array([
 		1.0,  // 0
 		2.0,
 		2.0,  // 1
@@ -139,7 +138,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 		2.0
 	]);
 
-	v = dnansumors( [ vector( x, 4, 2, 0 ) ] );
+	v = snansumors( [ vector( x, 4, 2, 0 ) ] );
 
 	t.strictEqual( v, 5.0, 'returns expected value' );
 	t.end();
@@ -149,7 +148,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 	var x;
 	var v;
 
-	x = new Float64Array([
+	x = new Float32Array([
 		1.0,  // 3
 		2.0,
 		2.0,  // 2
@@ -160,7 +159,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 		2.0
 	]);
 
-	v = dnansumors( [ vector( x, 4, -2, 6 ) ] );
+	v = snansumors( [ vector( x, 4, -2, 6 ) ] );
 
 	t.strictEqual( v, 5.0, 'returns expected value' );
 	t.end();
@@ -170,7 +169,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 	var x;
 	var v;
 
-	x = new Float64Array([
+	x = new Float32Array([
 		2.0,
 		1.0,  // 0
 		2.0,
@@ -181,7 +180,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 		4.0   // 3
 	]);
 
-	v = dnansumors( [ vector( x, 4, 2, 1 ) ] );
+	v = snansumors( [ vector( x, 4, 2, 1 ) ] );
 	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	t.end();

From 80f9ecfb2b81f949e8a53a1200cfe623713fbeac Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Thu, 18 Dec 2025 21:44:02 +0530
Subject: [PATCH 3/5] lint

---
 .../@stdlib/blas/ext/base/ndarray/snansumors/lib/index.js       | 1 +
 .../@stdlib/blas/ext/base/ndarray/snansumors/test/test.js       | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/lib/index.js
index 933dc6233d3b..54d7f5c19c76 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/lib/index.js
@@ -39,6 +39,7 @@
 
 var main = require( './main.js' );
 
+
 // EXPORTS //
 
 module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js
index 2ad232405a95..511a18b461be 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js
@@ -94,7 +94,7 @@ tape( 'the function computes the sum of a one-dimensional ndarray, ignoring `NaN
 
 	x = new Float32Array( [ 1.0, 1.0e38, 1.0, -1.0e38 ] );
 	v = snansumors( [ vector( x, 4, 1, 0 ) ] );
-	t.strictEqual( v, 2.0, 'returns expected value' );
+	t.strictEqual( v, 0.0, 'returns expected value' );
 
 	t.end();
 });

From 0be9cc9b0e36f622fed7db6a5e818bebc3ccaaf8 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Thu, 18 Dec 2025 21:48:51 +0530
Subject: [PATCH 4/5] fix: add missing empty line before section header

---
 .../@stdlib/blas/ext/base/ndarray/snansumors/test/test.js        | 1 +
 1 file changed, 1 insertion(+)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js
index 511a18b461be..45d0fdf5f77a 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/test/test.js
@@ -26,6 +26,7 @@ var Float32Array = require( '@stdlib/array/float32' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var snansumors = require( './../lib' );
 
+
 // FUNCTIONS //
 
 /**

From e3eb6d4b80ae74c77eb65e9fb7f45ef275362baa Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Thu, 18 Dec 2025 21:50:48 +0530
Subject: [PATCH 5/5] fix: add missing empty line before section header

---
 .../blas/ext/base/ndarray/snansumors/benchmark/benchmark.js      | 1 +
 1 file changed, 1 insertion(+)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/benchmark/benchmark.js
index b0b56c23b4f2..907063a05b34 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/snansumors/benchmark/benchmark.js
@@ -30,6 +30,7 @@ var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var pkg = require( './../package.json' ).name;
 var snansumors = require( './../lib' );
 
+
 // VARIABLES //
 
 var options = {