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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 | 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x | /** * @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 dtypes = require( '@stdlib/ndarray/dtypes' ); var gminabs = require( '@stdlib/stats/base/ndarray/minabs' ); var dminabs = require( '@stdlib/stats/base/ndarray/dminabs' ); var sminabs = require( '@stdlib/stats/base/ndarray/sminabs' ); var factory = require( '@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory' ); // VARIABLES // var idtypes = dtypes( 'real_and_generic' ); var odtypes = dtypes( 'real_and_generic' ); var policies = { 'output': 'same', 'casting': 'none' }; var table = { 'types': [ 'float64', // input 'float32' // input ], 'fcns': [ dminabs, sminabs ], 'default': gminabs }; // MAIN // /** * Computes the minimum absolute value along one or more ndarray dimensions. * * @name minabs * @type {Function} * @param {ndarray} x - input ndarray * @param {Options} [options] - function options * @param {IntegerArray} [options.dims] - list of dimensions over which to perform a reduction * @param {boolean} [options.keepdims=false] - boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions * @param {string} [options.dtype] - output ndarray data type * @throws {TypeError} first argument must be an ndarray-like object * @throws {TypeError} options argument must be an object * @throws {RangeError} dimension indices must not exceed input ndarray bounds * @throws {RangeError} number of dimension indices must not exceed the number of input ndarray dimensions * @throws {Error} must provide valid options * @returns {ndarray} output ndarray * * @example * var Float64Array = require( '@stdlib/array/float64' ); * var ndarray = require( '@stdlib/ndarray/ctor' ); * * // Create a data buffer: * var xbuf = new Float64Array( [ 0.0, 2.0, 3.0, 0.0, 0.0, 6.0, 7.0, 0.0, 0.0, 10.0, 11.0, 0.0 ] ); * * // Define the shape of the input array: * var sh = [ 3, 1, 2 ]; * * // Define the array strides: * var sx = [ 4, 4, 1 ]; * * // Define the index offset: * var ox = 1; * * // Create an input ndarray: * var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' ); * * // Perform reduction: * var out = minabs( x ); * // returns <ndarray> * * var v = out.get(); * // returns 2.0 */ var minabs = factory( table, [ idtypes ], odtypes, policies ); // EXPORTS // module.exports = minabs; |