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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 | 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 13x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 4x 8x 8x 8x 4x 4x 2x 13x 13x 13x 13x 13x | /** * @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'; // MAIN // /** * Applies a nullary callback and assigns results to elements in an output ndarray. * * @private * @param {Object} x - object containing ndarray meta data * @param {string} x.dtype - data type * @param {Collection} x.data - data buffer * @param {NonNegativeIntegerArray} x.shape - dimensions * @param {IntegerArray} x.strides - stride lengths * @param {NonNegativeInteger} x.offset - index offset * @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style) * @param {Array<Function>} x.accessors - data buffer accessors * @param {Callback} fcn - nullary callback * @returns {void} * * @example * var Complex64Array = require( '@stdlib/array/complex64' ); * var Complex64 = require( '@stdlib/complex/float32/ctor' ); * var realf = require( '@stdlib/complex/float32/real' ); * var imagf = require( '@stdlib/complex/float32/imag' ); * * function fcn() { * return new Complex64( 10.0, -10.0 ); * } * * // Create a data buffer: * var xbuf = new Complex64Array( 8 ); * * // Define the shape of the output array: * var shape = [ 2, 2 ]; * * // Define the array strides: * var sx = [ 2, 1 ]; * * // Define the index offset: * var ox = 0; * * // Define getters and setters: * function getter( buf, idx ) { * return buf.get( idx ); * } * * function setter( buf, idx, value ) { * buf.set( value, idx ); * } * * // Create the output ndarray-like object: * var x = { * 'dtype': 'complex64', * 'data': xbuf, * 'shape': shape, * 'strides': sx, * 'offset': ox, * 'order': 'row-major', * 'accessors': [ getter, setter ] * }; * * // Apply the nullary function: * nullary2d( x, fcn ); * * var v = x.data.get( 0 ); * * var re = realf( v ); * // returns 10.0 * * var im = imagf( v ); * // returns -10.0 */ function nullary2d( x, fcn ) { var xbuf; var set; var dx0; var dx1; var sh; var S0; var S1; var sx; var ix; var i0; var i1; // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop... // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments... sh = x.shape; sx = x.strides; if ( x.order === 'row-major' ) { // For row-major ndarrays, the last dimensions have the fastest changing indices... S0 = sh[ 1 ]; S1 = sh[ 0 ]; dx0 = sx[ 1 ]; // offset increment for innermost loop dx1 = sx[ 0 ] - ( S0*sx[1] ); // offset increment for outermost loop } else { // order === 'column-major' // For column-major ndarrays, the first dimensions have the fastest changing indices... S0 = sh[ 0 ]; S1 = sh[ 1 ]; dx0 = sx[ 0 ]; // offset increment for innermost loop dx1 = sx[ 1 ] - ( S0*sx[0] ); // offset increment for outermost loop } // Set a pointer to the first indexed element: ix = x.offset; // Cache a reference to the output ndarray buffer: xbuf = x.data; // Cache accessor: set = x.accessors[ 1 ]; // Iterate over the ndarray dimensions... for ( i1 = 0; i1 < S1; i1++ ) { for ( i0 = 0; i0 < S0; i0++ ) { set( xbuf, ix, fcn() ); ix += dx0; } ix += dx1; } } // EXPORTS // module.exports = nullary2d; |