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‎CHANGELOG.md‎

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‎CONTRIBUTORS‎

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@@ -59,9 +59,10 @@ Golden Kumar <103646877+AuenKr@users.noreply.github.com>
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Gunj Joshi <gunjjoshi8372@gmail.com>
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Gururaj Gurram <gururajgurram1512@gmail.com>
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Haroon Rasheed <51189276+haroon26@users.noreply.github.com>
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Harsh <149176984+hrshya@users.noreply.github.com>
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Harsh <harshyadav6078@gmail.com>
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HarshaNP <96897754+GittyHarsha@users.noreply.github.com>
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Harshita Kalani <harshitakalani02@gmail.com>
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Hemang Choudhary <coehemang@gmail.com>
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Hemant M Mehta <92446645+hemantmm@users.noreply.github.com>
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Hridyanshu <124202756+HRIDYANSHU054@users.noreply.github.com>
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Jaimin Godhani <112328542+Jai0401@users.noreply.github.com>

‎base/assign/lib/main.js‎

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@@ -25,6 +25,7 @@ var isRealDataType = require( './../../../base/assert/is-real-data-type' );
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var isComplexArray = require( '@stdlib/array/base/assert/is-complex-typed-array' );
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var isBooleanArray = require( '@stdlib/array/base/assert/is-booleanarray' );
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var iterationOrder = require( './../../../base/iteration-order' );
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var strides2order = require( './../../../base/strides2order' );
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var castReturn = require( '@stdlib/complex/base/cast-return' );
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var complexCtors = require( '@stdlib/complex/ctors' );
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var minmaxViewBufferIndex = require( './../../../base/minmax-view-buffer-index' );
@@ -351,7 +352,7 @@ function assign( arrays ) {
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ioy = iterationOrder( sy ); // +/-1
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// Determine whether we can avoid blocked iteration...
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if ( iox !== 0 && ioy !== 0 && iox === ioy ) {
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if ( iox !== 0 && ioy !== 0 && strides2order( sx ) === strides2order( sy ) ) { // eslint-disable-line max-len
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// Determine the minimum and maximum linear indices which are accessible by the array views:
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xmmv = minmaxViewBufferIndex( shx, sx, x.offset );
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ymmv = minmaxViewBufferIndex( shy, sy, y.offset );

‎base/binary/docs/repl.txt‎

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{{alias}}( arrays, fcn )
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Applies a binary callback to elements in input ndarrays and assigns results
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to elements in an output ndarray.
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Each provided "ndarray" should be an object with the following properties:
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- dtype: data type.
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- data: data buffer.
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- shape: dimensions.
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- strides: stride lengths.
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- offset: index offset.
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- order: specifies whether an ndarray is row-major (C-style) or column-major
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(Fortran-style).
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Parameters
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----------
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arrays: ArrayLikeObject<ndarray>
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Array-like object containing two input ndarrays and one output ndarray.
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fcn: Function
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Binary callback.
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Examples
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--------
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// Define ndarray data and meta data...
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> var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
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> var ybuf = new {{alias:@stdlib/array/float64}}( [ 5.0, 6.0, 7.0, 8.0 ] );
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> var zbuf = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
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> var dtype = 'float64';
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> var shape = [ 2, 2 ];
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> var sx = [ 2, 1 ];
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> var sy = [ 2, 1 ];
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> var sz = [ 2, 1 ];
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> var ox = 0;
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> var oy = 0;
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> var oz = 0;
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> var order = 'row-major';
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// Using ndarrays...
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> var x = {{alias:@stdlib/ndarray/ctor}}( dtype, xbuf, shape, sx, ox, order );
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> var y = {{alias:@stdlib/ndarray/ctor}}( dtype, ybuf, shape, sy, oy, order );
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> var z = {{alias:@stdlib/ndarray/ctor}}( dtype, zbuf, shape, sz, oz, order );
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> {{alias}}( [ x, y, z ], {{alias:@stdlib/number/float64/base/add}} );
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> {{alias:@stdlib/ndarray/data-buffer}}( z )
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<Float64Array>[ 6.0, 8.0, 10.0, 12.0 ]
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// Using minimal ndarray-like objects...
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> x = {
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... 'dtype': dtype,
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... 'data': xbuf,
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... 'shape': shape,
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... 'strides': sx,
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... 'offset': ox,
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... 'order': order
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... };
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> y = {
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... 'dtype': dtype,
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... 'data': ybuf,
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... 'shape': shape,
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... 'strides': sy,
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... 'offset': oy,
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... 'order': order
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... };
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> z = {
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... 'dtype': dtype,
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... 'data': zbuf,
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... 'shape': shape,
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... 'strides': sz,
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... 'offset': oz,
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... 'order': order
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... };
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> {{alias}}( [ x, y, z ], {{alias:@stdlib/number/float64/base/add}} );
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> {{alias:@stdlib/ndarray/data-buffer}}( z )
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<Float64Array>[ 6.0, 8.0, 10.0, 12.0 ]
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See Also
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--------
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‎base/binary/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) 2025 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 { ArrayLike } from '@stdlib/types/array';
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import { ndarray } from '@stdlib/types/ndarray';
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/**
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* Callback invoked for ndarray elements.
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*
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* @param x - first ndarray element
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* @param y - second ndarray element
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* @returns result
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*/
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type Binary = ( x: any, y: any ) => any;
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/**
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* Applies a binary callback to elements in input ndarrays and assigns results to elements in an output ndarray.
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*
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* @param arrays - array-like object containing two input ndarrays and one output ndarray
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* @param fcn - binary callback
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* @throws arrays must have the same number of dimensions
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* @throws arrays must have the same shape
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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* var ndarray = require( '@stdlib/ndarray/ctor' );
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* var getData = require( '@stdlib/ndarray/data-buffer' );
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*
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* function add( a, b ) {
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* return a + b;
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* }
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*
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* // Create data buffers:
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* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
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* var ybuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
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* var zbuf = new Float64Array( 6 );
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*
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* // Define the shape of the input and output arrays:
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* var shape = [ 3, 1, 2 ];
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*
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* // Define the array strides:
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* var sx = [ 2, 2, 1 ];
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* var sy = [ 2, 2, 1 ];
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* var sz = [ 2, 2, 1 ];
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*
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* // Define the index offsets:
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* var ox = 0;
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* var oy = 0;
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* var oz = 0;
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*
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* // Create the input and output ndarrays:
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* var x = new ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' );
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* var y = new ndarray( 'float64', ybuf, shape, sy, oy, 'row-major' );
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* var z = new ndarray( 'float64', zbuf, shape, sz, oz, 'row-major' );
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*
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* // Apply the binary function:
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* binary( [ x, y, z ], add );
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*
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* console.log( getData( z ) );
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* // => <Float64Array>[ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
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*/
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declare function binary( arrays: ArrayLike<ndarray>, fcn: Binary ): void;
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// EXPORTS //
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export = binary;

‎base/binary/docs/types/test.ts‎

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/*
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* @license Apache-2.0
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*
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* Copyright (c) 2025 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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import zeros = require( './../../../../zeros' );
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import binary = require( './index' );
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/**
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* Callback function.
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*
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* @param x - first input value
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* @param y - second input value
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* @returns result
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*/
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function fcn( x: number, y: number ): number {
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return x + y;
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}
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// TESTS //
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// The function returns `undefined`...
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{
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const x = zeros( [ 2, 2 ] );
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const y = zeros( [ 2, 2 ] );
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const z = zeros( [ 2, 2 ] );
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const arrays = [ x, y, z ];
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binary( arrays, fcn ); // $ExpectType void
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}
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// The compiler throws an error if the function is provided a first argument which is not an array-like object containing ndarray-like objects...
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{
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binary( 5, fcn ); // $ExpectError
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binary( true, fcn ); // $ExpectError
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binary( false, fcn ); // $ExpectError
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binary( null, fcn ); // $ExpectError
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binary( undefined, fcn ); // $ExpectError
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binary( {}, fcn ); // $ExpectError
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binary( [ 1 ], fcn ); // $ExpectError
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binary( ( x: number ): number => x, fcn ); // $ExpectError
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}
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// The compiler throws an error if the function is provided a second argument which is not a binary function...
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{
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const x = zeros( [ 2, 2 ] );
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const y = zeros( [ 2, 2 ] );
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const z = zeros( [ 2, 2 ] );
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const arrays = [ x, y, z ];
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binary( arrays, '10' ); // $ExpectError
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binary( arrays, 5 ); // $ExpectError
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binary( arrays, true ); // $ExpectError
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binary( arrays, false ); // $ExpectError
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binary( arrays, null ); // $ExpectError
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binary( arrays, undefined ); // $ExpectError
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binary( arrays, [] ); // $ExpectError
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binary( arrays, {} ); // $ExpectError
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}
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// The compiler throws an error if the function is provided an unsupported number of arguments...
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{
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const x = zeros( [ 2, 2 ] );
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const y = zeros( [ 2, 2 ] );
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const z = zeros( [ 2, 2 ] );
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const arrays = [ x, y, z ];
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binary(); // $ExpectError
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binary( arrays ); // $ExpectError
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binary( arrays, fcn, 10 ); // $ExpectError
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}

‎base/binary/examples/index.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2025 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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var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
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var filledarray = require( '@stdlib/array/filled' );
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var filledarrayBy = require( '@stdlib/array/filled-by' );
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var add = require( '@stdlib/number/float64/base/add' );
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var shape2strides = require( './../../../base/shape2strides' );
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var ndarray2array = require( './../../../base/to-array' );
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var binary = require( './../lib' );
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var N = 10;
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var x = {
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'dtype': 'generic',
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'data': filledarrayBy( N, 'generic', discreteUniform( -100, 100 ) ),
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'shape': [ 5, 2 ],
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'strides': [ 2, 1 ],
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'offset': 0,
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'order': 'row-major'
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};
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console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
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var y = {
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'dtype': 'generic',
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'data': filledarrayBy( N, 'generic', discreteUniform( -100, 100 ) ),
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'shape': x.shape.slice(),
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'strides': shape2strides( x.shape, 'column-major' ),
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'offset': 0,
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'order': 'column-major'
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};
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console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
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var z = {
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'dtype': 'generic',
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'data': filledarray( 0, N, 'generic' ),
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'shape': x.shape.slice(),
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'strides': shape2strides( x.shape, 'column-major' ),
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'offset': 0,
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'order': 'column-major'
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};
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binary( [ x, y, z ], add );
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console.log( ndarray2array( z.data, z.shape, z.strides, z.offset, z.order ) );

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