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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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 | 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 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 883x 883x 883x 883x 883x 883x 883x 883x 883x 883x 883x 883x 4x 2x 2x 2x 2x 879x 879x 1x 1x 878x 883x 76x 76x 39x 39x 37x 37x 802x 802x 58x 28x 28x 30x 30x 744x 744x 372x 372x 372x 883x 13x 13x 13x 13x 13x | /** * @license Apache-2.0 * * Copyright (c) 2025 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 iterationOrder = require( '@stdlib/ndarray/base/iteration-order' ); var ndarray2object = require( '@stdlib/ndarray/base/ndarraylike2object' ); var numel = require( '@stdlib/ndarray/base/numel' ); var blockedaccessorany2d = require( './2d_blocked_accessors.js' ); var blockedaccessorany3d = require( './3d_blocked_accessors.js' ); var blockedany2d = require( './2d_blocked.js' ); var blockedany3d = require( './3d_blocked.js' ); var accessorany0d = require( './0d_accessors.js' ); var accessorany1d = require( './1d_accessors.js' ); var accessorany2d = require( './2d_accessors.js' ); var accessorany3d = require( './3d_accessors.js' ); var accessoranynd = require( './nd_accessors.js' ); var any0d = require( './0d.js' ); var any1d = require( './1d.js' ); var any2d = require( './2d.js' ); var any3d = require( './3d.js' ); var anynd = require( './nd.js' ); // VARIABLES // var ANY = [ any0d, any1d, any2d, any3d ]; var ACCESSOR_ANY = [ accessorany0d, accessorany1d, accessorany2d, accessorany3d ]; var BLOCKED_ANY = [ blockedany2d, // 0 blockedany3d ]; var BLOCKED_ACCESSOR_ANY = [ blockedaccessorany2d, // 0 blockedaccessorany3d ]; var MAX_DIMS = ANY.length - 1; // MAIN // /** * Tests whether at least one element in an ndarray passes a test implemented by a predicate function. * * ## Notes * * - A provided ndarray should be an `object` with the following properties: * * - **dtype**: data type. * - **data**: data buffer. * - **shape**: dimensions. * - **strides**: stride lengths. * - **offset**: index offset. * - **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style). * * @param {ArrayLikeObject<Object>} arrays - array-like object containing one input array * @param {Function} predicate - predicate function * @param {thisArg} [thisArg] - predicate function execution context * @returns {boolean} boolean indicating whether all elements pass a test * * @example * var Float64Array = require( '@stdlib/array/float64' ); * * function predicate( value ) { * return value > 0.0; * } * * // Create a data buffer: * var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] ); * * // Define the shape of the input array: * var shape = [ 3, 1, 2 ]; * * // Define the array strides: * var sx = [ 4, 4, 1 ]; * * // Define the index offset: * var ox = 1; * * // Create the input ndarray-like object: * var x = { * 'dtype': 'float64', * 'data': xbuf, * 'shape': shape, * 'strides': sx, * 'offset': ox, * 'order': 'row-major' * }; * * // Test elements: * var out = anyBy( [ x ], predicate ); * // returns true */ function anyBy( arrays, predicate, thisArg ) { var ndims; var shx; var x; // Unpack the ndarray and standardize ndarray meta data: x = ndarray2object( arrays[ 0 ] ); shx = x.shape; ndims = shx.length; // Determine whether we can avoid iteration altogether... if ( ndims === 0 ) { if ( x.accessorProtocol ) { return ACCESSOR_ANY[ ndims ]( x, predicate, thisArg ); } return ANY[ ndims ]( x, predicate, thisArg ); } // Check whether we were provided an empty ndarray... if ( numel( shx ) === 0 ) { return false; } // Determine whether we can avoid blocked iteration... if ( ndims <= MAX_DIMS && iterationOrder( x.strides ) !== 0 ) { // So long as iteration always moves in the same direction (i.e., no mixed sign strides), we can leverage cache-optimal (i.e., normal) nested loops without resorting to blocked iteration... if ( x.accessorProtocol ) { return ACCESSOR_ANY[ ndims ]( x, predicate, thisArg ); } return ANY[ ndims ]( x, predicate, thisArg ); } // Determine whether we can perform blocked iteration... if ( ndims <= MAX_DIMS ) { if ( x.accessorProtocol ) { return BLOCKED_ACCESSOR_ANY[ ndims-2 ]( x, predicate, thisArg ); } return BLOCKED_ANY[ ndims-2 ]( x, predicate, thisArg ); } // Fall-through to linear view iteration without regard for how data is stored in memory (i.e., take the slow path)... if ( x.accessorProtocol ) { return accessoranynd( x, predicate, thisArg ); } return anynd( x, predicate, thisArg ); } // EXPORTS // module.exports = anyBy; |