ndarray.js (2273B)
1 /** 2 * @license Apache-2.0 3 * 4 * Copyright (c) 2020 The Stdlib Authors. 5 * 6 * Licensed under the Apache License, Version 2.0 (the "License"); 7 * you may not use this file except in compliance with the License. 8 * You may obtain a copy of the License at 9 * 10 * http://www.apache.org/licenses/LICENSE-2.0 11 * 12 * Unless required by applicable law or agreed to in writing, software 13 * distributed under the License is distributed on an "AS IS" BASIS, 14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 15 * See the License for the specific language governing permissions and 16 * limitations under the License. 17 */ 18 19 'use strict'; 20 21 // MODULES // 22 23 var floor = require( '@stdlib/math/base/special/floor' ); 24 25 26 // VARIABLES // 27 28 var M = 3; 29 30 31 // MAIN // 32 33 /** 34 * Reverses a double-precision floating-point strided array in-place. 35 * 36 * @param {PositiveInteger} N - number of indexed elements 37 * @param {Float64Array} x - input array 38 * @param {integer} stride - index increment 39 * @param {NonNegativeInteger} offset - starting index 40 * @returns {Float64Array} input array 41 * 42 * @example 43 * var Float64Array = require( '@stdlib/array/float64' ); 44 * 45 * var x = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] ); 46 * 47 * drev( 3, x, 1, x.length-3 ); 48 * // x => <Float64Array>[ 1.0, -2.0, 3.0, -6.0, 5.0, -4.0 ] 49 */ 50 function drev( N, x, stride, offset ) { 51 var tmp; 52 var ix; 53 var iy; 54 var m; 55 var n; 56 var i; 57 58 if ( N <= 0 ) { 59 return x; 60 } 61 n = floor( N/2 ); 62 ix = offset; 63 64 // Use loop unrolling if the stride is equal to `1`... 65 if ( stride === 1 ) { 66 m = n % M; 67 iy = ix + N - 1; 68 69 // If we have a remainder, run a clean-up loop... 70 if ( m > 0 ) { 71 for ( i = 0; i < m; i++ ) { 72 tmp = x[ ix ]; 73 x[ ix ] = x[ iy ]; 74 x[ iy ] = tmp; 75 ix += stride; 76 iy -= stride; 77 } 78 } 79 if ( n < M ) { 80 return x; 81 } 82 for ( i = m; i < n; i += M ) { 83 tmp = x[ ix ]; 84 x[ ix ] = x[ iy ]; 85 x[ iy ] = tmp; 86 87 tmp = x[ ix+1 ]; 88 x[ ix+1 ] = x[ iy-1 ]; 89 x[ iy-1 ] = tmp; 90 91 tmp = x[ ix+2 ]; 92 x[ ix+2 ] = x[ iy-2 ]; 93 x[ iy-2 ] = tmp; 94 95 ix += M; 96 iy -= M; 97 } 98 return x; 99 } 100 iy = ix + ((N-1)*stride); 101 for ( i = 0; i < n; i++ ) { 102 tmp = x[ ix ]; 103 x[ ix ] = x[ iy ]; 104 x[ iy ] = tmp; 105 ix += stride; 106 iy -= stride; 107 } 108 return x; 109 } 110 111 112 // EXPORTS // 113 114 module.exports = drev;