feat: add other files

lib/node_modules/@stdlib/lapack/base/iladlr/README.md

@@ -69,7 +69,7 @@ var out = iladlr( 'row-major', 2, 2, A1, 2 );
 // out => 1
 ```
 
-#### iladlr.ndarray( M, N, A, strideA1, strideA2, offsetA )
+#### iladlr.ndarray( M, N, A, sa1, sa2, oa )
 
 Returns last non-zero row of matrix `A` using alternative indexing semantics.
 

lib/node_modules/@stdlib/lapack/base/iladlr/benchmark/benchmark.js

@@ -0,0 +1,97 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var pkg = require( './../package.json' ).name;
+var iladlr = require( './../lib/iladlr.js' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var A = uniform( len * len, -100.0, 100.0, options );
+	return benchmark;
+
+	function benchmark( b ) {
+		var out;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			out = iladlr( 'row-major', len, len, A, len );
+			if ( isnan( out ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out ) ) {
+			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 = floor( pow( pow( 10, i ), 0.5 ) );
+		f = createBenchmark( len );
+		bench( pkg+':order=row-major,len='+len, f );
+	}
+}
+
+main();

lib/node_modules/@stdlib/lapack/base/iladlr/benchmark/benchmark.ndarray.js

@@ -0,0 +1,97 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var pkg = require( './../package.json' ).name;
+var iladlr = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var A = uniform( len * len, -100.0, 100.0, options );
+	return benchmark;
+
+	function benchmark( b ) {
+		var out;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			out = iladlr( len, len, A, len, 1, 0 );
+			if ( isnan( out ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out ) ) {
+			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 = floor( pow( pow( 10, i ), 0.5 ) );
+		f = createBenchmark( len );
+		bench( pkg+':ndarray:order=row-major,len='+len, f );
+	}
+}
+
+main();

lib/node_modules/@stdlib/lapack/base/iladlr/docs/types/index.d.ts

@@ -0,0 +1,108 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 { Layout } from '@stdlib/types/blas';
+
+/**
+* Interface describing `iladlr`.
+*/
+interface Routine {
+	/**
+	* Returns last non-zero row of matrix `A`.
+	*
+	* @param order - storage layout
+	* @param M - number of rows
+	* @param N - number of columns
+	* @param A - input matrix
+	* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+	* @returns index of last non-zero row
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var out;
+	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	*
+	* out = iladlr( 'row-major', 2, 2, A, 2 );
+	* // returns 1
+	*/
+	( order: Layout, M: number, N: number, A: Float64Array, LDA: number ): number;
+
+	/**
+	* Returns last non-zero row of matrix `A` using alternative indexing semantics.
+	*
+	* @name iladlr.ndarray
+	* @type {Function}
+	* @param M - number of rows
+	* @param N - number of columns
+	* @param A - input matrix
+	* @param strideA1 - stride of the first dimension of `A`
+	* @param strideA2 - stride of the second dimension of `A`
+	* @param offsetA - starting index for `A`
+	* @returns index of last non-zero row
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var out;
+	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	*
+	* out = iladlr.ndarray( 2, 2, A, 2, 1, 0 );
+	* // returns 1
+	*/
+	ndarray( M: number, N: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number ): number;
+}
+
+/**
+* Returns last non-zero row of matrix `A`.
+*
+* @param order - storage layout
+* @param M - number of rows
+* @param N - number of columns
+* @param A - input matrix
+* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @returns index of last non-zero row
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var out;
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* out = iladlr( 'row-major', 2, 2, A, 2 );
+* // returns 1
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var out;
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* out = iladlr.ndarray( 2, 2, A, 2, 1, 0 );
+* // returns 1
+*/
+declare var iladlr: Routine;
+
+
+// EXPORTS //
+
+export = iladlr;