stdlib-js · headlessNode · Aug 5, 2026
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gindex-of-some-truthy-row/README.md b/lib/node_modules/@stdlib/blas/ext/base/gindex-of-some-truthy-row/README.md
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+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 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.
+
+-->
+
+# gindexOfSomeTruthyRow
+
+> Return the index of the first row in an input matrix which contains at least `k` truthy elements.
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var gindexOfSomeTruthyRow = require( '@stdlib/blas/ext/base/gindex-of-some-truthy-row' );
+```
+
+#### gindexOfSomeTruthyRow( order, M, N, k, A, LDA )
+
+Returns the index of the first row in an input matrix which contains at least `k` truthy elements.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+/*
+    A = [
+        [ 0.0, 0.0, 0.0 ],
+        [ 1.0, 0.0, 1.0 ],
+        [ 1.0, 1.0, 1.0 ],
+        [ 0.0, 0.0, 0.0 ]
+    ]
+*/
+var A = [ 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0 ];
+
+var out = gindexOfSomeTruthyRow( 'row-major', 4, 3, 2, A, 3 );
+// returns 1
+```
+
+The function has the following parameters:
+
+-   **order**: storage layout.
+-   **M**: number of rows in `A`.
+-   **N**: number of columns in `A`.
+-   **k**: minimum number of truthy elements.
+-   **A**: input matrix as a linear array.
+-   **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+
+If the function is unable to find a row with at least `k` truthy elements, the function returns `-1`.
+
+```javascript
+var A = [ 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ];
+
+var out = gindexOfSomeTruthyRow( 'row-major', 3, 3, 2, A, 3 );
+// returns -1
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+<!-- eslint-disable stdlib/capitalized-comments, max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Initial array:
+var A0 = new Float64Array( [ 9999.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0 ] );
+
+// Create offset view:
+var A1 = new Float64Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+var out = gindexOfSomeTruthyRow( 'row-major', 4, 3, 2, A1, 3 );
+// returns 1
+```
+
+#### gindexOfSomeTruthyRow.ndarray( M, N, k, A, strideA1, strideA2, offsetA )
+
+Returns the index of the first row in an input matrix which contains at least `k` truthy elements using alternative indexing semantics.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+/*
+    A = [
+        [ 0.0, 0.0, 0.0 ],
+        [ 1.0, 0.0, 1.0 ],
+        [ 1.0, 1.0, 1.0 ],
+        [ 0.0, 0.0, 0.0 ]
+    ]
+*/
+var A = [ 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0 ];
+
+var out = gindexOfSomeTruthyRow.ndarray( 4, 3, 2, A, 3, 1, 0 );
+// returns 1
+```
+
+The function has the following parameters:
+
+-   **M**: number of rows in `A`.
+-   **N**: number of columns in `A`.
+-   **k**: minimum number of truthy elements.
+-   **A**: input matrix as a linear array.
+-   **strideA1**: stride length for the first dimension of `A`.
+-   **strideA2**: stride length for the second dimension of `A`.
+-   **offsetA**: starting index for `A`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to start searching from the second element
+
+<!-- eslint-disable max-len -->
+
+```javascript
+/*
+    A = [
+        [ 0.0, 0.0, 0.0 ],
+        [ 1.0, 0.0, 1.0 ],
+        [ 1.0, 1.0, 1.0 ],
+        [ 0.0, 0.0, 0.0 ]
+    ]
+*/
+var A = [ 9999.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0 ];
+
+var out = gindexOfSomeTruthyRow.ndarray( 4, 3, 2, A, 3, 1, 1 );
+// returns 1
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   A row is considered to contain at least `k` truthy elements when at least `k` elements in the row are not equal to `0.0` and are not `NaN`.
+-   Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint-disable max-len -->
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var gindexOfSomeTruthyRow = require( '@stdlib/blas/ext/base/gindex-of-some-truthy-row' );
+
+var shape = [ 4, 3 ];
+var order = 'row-major';
+var strides = shape2strides( shape, order );
+
+var A = [ 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0 ];
+console.log( ndarray2array( A, shape, strides, 0, order ) );
+
+var out = gindexOfSomeTruthyRow( order, shape[ 0 ], shape[ 1 ], 2, A, strides[ 0 ] );
+console.log( out );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- 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">
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gindex-of-some-truthy-row/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/gindex-of-some-truthy-row/benchmark/benchmark.js
@@ -0,0 +1,111 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var zeros = require( '@stdlib/array/zeros' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var gindexOfSomeTruthyRow = require( './../lib' );
+
+
+// VARIABLES //
+
+var LAYOUTS = [
+	'row-major',
+	'column-major'
+];
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {string} order - storage layout
+* @param {PositiveInteger} N - number of elements along each dimension
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, N ) {
+	var A = zeros( N*N, 'generic' );
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var z;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			z = gindexOfSomeTruthyRow( order, N, N, 2, A, N );
+			if ( isnan( z ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( z ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var min;
+	var max;
+	var ord;
+	var N;
+	var f;
+	var i;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < LAYOUTS.length; k++ ) {
+		ord = LAYOUTS[ k ];
+		for ( i = min; i <= max; i++ ) {
+			N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+			f = createBenchmark( ord, N );
+			bench( format( '%s::square_matrix:order=%s,size=%d', pkg, ord, N*N ), f );
+		}
+	}
+}
+
+main();