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feat: add array/base/mskunary2d 
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‎lib/node_modules/@stdlib/array/base/mskunary2d/README.md

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<!--
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@license Apache-2.0
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Copyright (c) 2023 The Stdlib Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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-->
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# mskunary2d
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> Apply a unary callback to elements in a two-dimensional nested input array according to elements in a two-dimensional nested mask array and assign results to elements in a two-dimensional nested output array.
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<section class="intro">
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</section>
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<!-- /.intro -->
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<section class="usage">
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## Usage
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```javascript
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var mskunary2d = require( '@stdlib/array/base/mskunary2d' );
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```
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#### mskunary2d( arrays, shape, fcn )
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Applies a unary callback to elements in a two-dimensional nested input array according to elements in a two-dimensional nested mask array and assigns results to elements in a two-dimensional nested output array.
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```javascript
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var abs = require( '@stdlib/math/base/special/abs' );
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var x = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];
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var mask = [ [ 0, 1 ], [ 0, 0 ] ];
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var shape = [ 2, 2 ];
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// Compute the absolute values in-place:
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mskunary2d( [ x, mask, x ], shape, abs );
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// x => [ [ 1.0, -2.0 ], [ 3.0, 4.0 ] ]
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```
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The function accepts the following arguments:
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- **arrays**: array-like object containing one input nested array, an input nested mask array, and one output nested array.
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- **shape**: array shape.
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- **fcn**: unary function to apply.
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</section>
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<!-- /.usage -->
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<section class="notes">
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## Notes
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- The function assumes that the input and output arrays have the same shape.
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- An element in an input array is "masked" if the corresponding element in the mask array is non-zero.
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</section>
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<!-- /.notes -->
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<section class="examples">
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## Examples
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<!-- eslint no-undef: "error" -->
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```javascript
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var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
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var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
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var filled2dBy = require( '@stdlib/array/base/filled2d-by' );
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var zeros2d = require( '@stdlib/array/base/zeros2d' );
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var abs = require( '@stdlib/math/base/special/abs' );
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var mskunary2d = require( '@stdlib/array/base/mskunary2d' );
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var shape = [ 3, 3 ];
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var x = filled2dBy( shape, discreteUniform( -100, 100 ) );
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console.log( x );
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var mask = filled2dBy( shape, bernoulli( 0.5 ) );
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console.log( mask );
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var y = zeros2d( shape );
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console.log( y );
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mskunary2d( [ x, mask, y ], shape, abs );
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console.log( y );
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```
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</section>
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<!-- /.examples -->
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<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
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<section class="related">
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</section>
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<!-- /.related -->
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<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
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<section class="links">
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</section>
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<!-- /.links -->

‎lib/node_modules/@stdlib/array/base/mskunary2d/benchmark/benchmark.js

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2023 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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// MODULES //
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var bench = require( '@stdlib/bench' );
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var uniform = require( '@stdlib/random/base/uniform' ).factory;
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var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
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var isnan = require( '@stdlib/math/base/assert/is-nan' );
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var pow = require( '@stdlib/math/base/special/pow' );
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var floor = require( '@stdlib/math/base/special/floor' );
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var identity = require( '@stdlib/math/base/special/identity' );
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var filled2dBy = require( '@stdlib/array/base/filled2d-by' );
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var zeros2d = require( '@stdlib/array/base/zeros2d' );
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var numel = require( '@stdlib/ndarray/base/numel' );
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var pkg = require( './../package.json' ).name;
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var mskunary2d = require( './../lib' );
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// FUNCTIONS //
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/**
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* Creates a benchmark function.
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*
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* @private
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* @param {PositiveIntegerArray} shape - array shape
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* @returns {Function} benchmark function
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*/
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function createBenchmark( shape ) {
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var arrays;
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var x;
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var m;
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var y;
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x = filled2dBy( shape, uniform( -100.0, 100.0 ) );
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m = filled2dBy( shape, bernoulli( 0.5 ) );
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y = zeros2d( shape );
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arrays = [ x, m, y ];
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return benchmark;
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/**
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* Benchmark function.
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*
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* @private
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* @param {Benchmark} b - benchmark instance
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*/
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function benchmark( b ) {
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var i0;
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var i1;
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var i;
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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mskunary2d( arrays, shape, identity );
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i1 = i % shape[ 0 ];
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i0 = i % shape[ 1 ];
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if ( isnan( arrays[ 2 ][ i1 ][ i0 ] ) ) {
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b.fail( 'should not return NaN' );
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}
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}
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b.toc();
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i1 = i % shape[ 0 ];
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i0 = i % shape[ 1 ];
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if ( isnan( arrays[ 2 ][ i1 ][ i0 ] ) ) {
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b.fail( 'should not return NaN' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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}
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}
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// MAIN //
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/**
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* Main execution sequence.
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*
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* @private
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*/
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function main() {
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var min;
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var max;
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var sh;
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var N;
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var f;
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var i;
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min = 1; // 10^min
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max = 6; // 10^max
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for ( i = min; i <= max; i++ ) {
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N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
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sh = [ N, N ];
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f = createBenchmark( sh );
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bench( pkg+'::square_matrix:size='+numel( sh ), f );
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}
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}
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main();

‎lib/node_modules/@stdlib/array/base/mskunary2d/docs/repl.txt

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{{alias}}( arrays, shape, fcn )
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Applies a unary callback to elements in a two-dimensional nested input array
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according to elements in a two-dimensional nested mask array and assigns
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results to elements in a two-dimensional nested output array.
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An element in an input array is "masked" if the corresponding element in the
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mask array is non-zero.
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Parameters
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----------
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arrays: ArrayLikeObject
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Array-like object containing one input nested array, an input nested
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mask array, and one output nested array.
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shape: Array<integer>
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Array shape.
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fcn: Function
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Unary callback.
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Examples
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--------
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> var x = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];
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> var m = [ [ 0, 1 ], [ 0, 0 ] ];
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> var y = [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ];
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> var shape = [ 2, 2 ];
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> {{alias}}( [ x, m, y ], shape, {{alias:@stdlib/math/base/special/abs}} );
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> y
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[ [ 1.0, 0.0 ], [ 3.0, 4.0 ] ]
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See Also
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--------
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‎lib/node_modules/@stdlib/array/base/mskunary2d/docs/types/index.d.ts

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/*
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* @license Apache-2.0
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*
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* Copyright (c) 2023 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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// TypeScript Version: 4.1
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/// <reference types="@stdlib/types"/>
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import { Array2D } from '@stdlib/types/array';
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import { Shape2D } from '@stdlib/types/ndarray';
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/**
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* Unary callback.
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*
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* @param value - input value
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* @returns result
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*/
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type Unary<T, U> = ( value: T ) => U;
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/**
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* Applies a unary callback to elements in a two-dimensional nested input array according to elements in a two-dimensional nested mask array and assigns results to elements in a two-dimensional nested output array.
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*
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* ## Notes
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*
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* - The function assumes that the input and output arrays have the same shape.
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*
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* @param arrays - array containing one input nested array, an input nested mask array, and one output nested array
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* @param shape - array shape
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* @param fcn - unary callback
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*
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* @example
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* var ones2d = require( `@stdlib/array/base/ones2d` );
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* var zeros2d = require( `@stdlib/array/base/zeros2d` );
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*
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* function scale( x ) {
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* return x * 10.0;
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* }
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*
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* var shape = [ 2, 2 ];
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*
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* var x = ones2d( shape );
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* var y = zeros2d( shape );
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*
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* var mask = [ [ 0, 1 ], [ 0, 0 ] ];
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*
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* mskunary2d( [ x, mask, y ], shape, scale );
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*
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* console.log( y );
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* // => [ [ 10.0, 0.0 ], [ 10.0, 10.0 ] ]
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*/
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declare function mskunary2d<T = unknown, U = unknown>( arrays: [ Array2D<T>, Array2D<number>, Array2D<U> ], shape: Shape2D, fcn: Unary<T, U> ): void;
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// EXPORTS //
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export = mskunary2d;

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