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* @license Apache-2.0
*
* Copyright (c) 2023 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 broadcastShapes = require( '@stdlib/ndarray/base/broadcast-shapes' );
var broadcastArray = require( '@stdlib/ndarray/base/broadcast-array' );
var getShape = require( '@stdlib/ndarray/base/shape' );
// MAIN //
/**
* Broadcasts ndarrays to a common shape.
*
* ## Notes
*
* - The returned arrays are views on their respective underlying data buffers. The views are typically **not** contiguous. As more than one element of a returned view may refer to the same memory location, writing to a view may affect multiple elements. If you need to write to one of the returned arrays, copy the array before performing operations which may mutate elements.
*
* @param {ArrayLikeObject<ndarray>} arrays - list of input arrays
* @throws {Error} input arrays must be broadcast compatible
* @returns {Array<ndarray>} broadcasted arrays
*
* @example
* var array = require( '@stdlib/ndarray/array' );
* var zeros = require( '@stdlib/ndarray/zeros' );
*
* var x1 = array( [ [ 1, 2 ], [ 3, 4 ] ] );
* // returns <ndarray>
*
* var shx = x1.shape;
* // returns [ 2, 2 ]
*
* var y1 = zeros( [ 3, 2, 2 ] );
* // returns <ndarray>
*
* var shy = y1.shape;
* // returns [ 3, 2, 2 ]
*
* var out = broadcastArrays( [ x1, y1 ] );
* // returns [ <ndarray> , <ndarray> ]
*
* var x2 = out[ 0 ];
* // returns <ndarray>
*
* var y2 = out[ 1 ];
* // returns <ndarray>
*
* shx = x2.shape;
* // returns [ 3, 2, 2 ]
*
* shy = y2.shape;
* // returns [ 3, 2, 2 ]
*
* var v = x2.get( 0, 0, 0 );
* // returns 1
*
* v = x2.get( 0, 0, 1 );
* // returns 2
*
* v = x2.get( 1, 0, 0 );
* // returns 1
*
* v = x2.get( 1, 1, 0 );
* // returns 3
*
* v = x2.get( 2, 0, 0 );
* // returns 1
*
* v = x2.get( 2, 1, 1 );
* // returns 4
*
* @example
* var zeros = require( '@stdlib/ndarray/zeros' );
*
* var x = zeros( [ 2, 2 ] );
* // returns <ndarray>
*
* var y = zeros( [ 4, 2 ] );
* // returns <ndarray>
*
* var out = broadcastArrays( [ x, y ] );
* // throws <Error>
*/
function broadcastArrays( arrays ) {
var shapes;
var out;
var sh;
var N;
var i;
N = arrays.length;
// Resolve the list of shapes...
shapes = [];
for ( i = 0; i < N; i++ ) {
shapes.push( getShape( arrays[ i ], false ) );
}
// Broadcast the shapes to a common shape:
sh = broadcastShapes( shapes );
if ( sh === null ) {
throw new Error( 'invalid arguments. Input arrays must be broadcast compatible.' );
}
// Broadcast each array to the common shape...
out = [];
for ( i = 0; i < N; i++ ) {
out.push( broadcastArray( arrays[ i ], sh ) );
}
return out;
}
// EXPORTS //
module.exports = broadcastArrays;
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