feat: add blas/ext/base/ndarray/ssumkbn

lib/node_modules/@stdlib/blas/ext/base/ndarray/ssumkbn/README.md

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+<!--
+
+@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.
+
+-->
+
+# ssumkbn
+
+> Compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var ssumkbn = require( '@stdlib/blas/ext/base/ndarray/ssumkbn' );
+```
+
+#### ssumkbn( arrays )
+
+Computes the sum of all elements in a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+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 v = ssumkbn( [ x ] );
+// returns 10.0
+```
+
+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`.
+
+</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 ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ssumkbn = require( '@stdlib/blas/ext/base/ndarray/ssumkbn' );
+
+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 v = ssumkbn( [ x ] );
+console.log( v );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<section class="references">
+
+## References
+
+-   Neumaier, Arnold. 1974. "Rounding Error Analysis of Some Methods for Summing Finite Sums." _Zeitschrift Für Angewandte Mathematik Und Mechanik_ 54 (1): 39–51. doi:[10.1002/zamm.19740540106][@neumaier:1974a].
+
+</section>
+
+<!-- /.references -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+[@neumaier:1974a]: https://doi.org/10.1002/zamm.19740540106
+
+</section>
+
+<!-- /.links -->

lib/node_modules/@stdlib/blas/ext/base/ndarray/ssumkbn/benchmark/benchmark.js

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+/**
+* @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 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 ssumkbn = 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 xbuf;
+	var x;
+
+	xbuf = uniform(len, -10.0, 10.0, options);
+	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 = ssumkbn([ x ]);
+			if (isnanf(v)) {
+				b.fail('should not return NaN');
+			}
+		}
+		b.toc();
+		if (isnanf(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();

lib/node_modules/@stdlib/blas/ext/base/ndarray/ssumkbn/docs/repl.txt

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+
+{{alias}}( arrays )
+    Computes the sum of all elements in a one-dimensional single-precision
+    floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+    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/float32}}( [ 1.0, 2.0, 3.0 ] );
+    > var dt = 'float32';
+    > 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 ] )
+    6.0
+
+    See Also
+    --------
+

lib/node_modules/@stdlib/blas/ext/base/ndarray/ssumkbn/docs/types/index.d.ts

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+/*
+* @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 sum of all elements in a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+*
+* @param arrays - array-like object containing an input ndarray
+* @returns sum
+*
+* @example
+* var Float32Array = require('@stdlib/array/float32');
+* 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 v = ssumkbn( [ x ] );
+* // returns 10.0
+*/
+declare function ssumkbn( arrays: [ float32ndarray ] ): number;
+
+
+// EXPORTS //
+
+export = ssumkbn;

lib/node_modules/@stdlib/blas/ext/base/ndarray/ssumkbn/docs/types/test.ts

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+/*
+* @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 ssumkbn = require('./index');
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	const x = zeros([ 10 ], {
+		'dtype': 'float32'
+	});
+
+	ssumkbn([ x ]); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	ssumkbn('10'); // $ExpectError
+	ssumkbn(10); // $ExpectError
+	ssumkbn(true); // $ExpectError
+	ssumkbn(false); // $ExpectError
+	ssumkbn(null); // $ExpectError
+	ssumkbn(undefined); // $ExpectError
+	ssumkbn([]); // $ExpectError
+	ssumkbn({}); // $ExpectError
+	ssumkbn((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'
+	});
+
+	ssumkbn(); // $ExpectError
+	ssumkbn([ x ], {}); // $ExpectError
+}

lib/node_modules/@stdlib/blas/ext/base/ndarray/ssumkbn/examples/index.js

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+/**
+* @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 ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ssumkbn = 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 v = ssumkbn([ x ]);
+console.log(v);