Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 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 | 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 25x 25x 25x 25x 25x 25x 25x 4x 4x 21x 25x 2x 2x 19x 19x 19x 19x 25x 13x 13x 13x 13x 7x 19x 19x 19x 19x 7x 13x 5x 5x 13x 140x 140x 140x 140x 140x 140x 140x 140x 8x 8x 25x 18x 18x 18x 18x 6x 25x 3x 3x 3x 3x 3x | /**
* @license Apache-2.0
*
* Copyright (c) 2026 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 dcopy = require( '@stdlib/blas/base/dcopy' ).ndarray;
// VARIABLES //
var M = 5;
// MAIN //
/**
* Adds a scalar constant to each element in a double-precision floating-point strided array `x` and assigns the results to elements in a double-precision floating-point strided array `w` using alternative indexing semantics.
*
* @param {PositiveInteger} N - number of indexed elements
* @param {number} alpha - scalar constant
* @param {Float64Array} x - input array
* @param {integer} strideX - `x` stride length
* @param {NonNegativeInteger} offsetX - starting `x` index
* @param {Float64Array} w - output array
* @param {integer} strideW - `w` stride length
* @param {NonNegativeInteger} offsetW - starting `w` index
* @returns {Float64Array} output array
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
* var w = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );
*
* dwapx( x.length, 5.0, x, 1, 0, w, 1, 0 );
* // w => <Float64Array>[ 6.0, 7.0, 8.0, 9.0, 10.0 ]
*/
function dwapx( N, alpha, x, strideX, offsetX, w, strideW, offsetW ) {
var ix;
var iw;
var m;
var i;
if ( N <= 0 ) {
return w;
}
// Fast path: when alpha = 0.0, delegate to dcopy (w = x)
if ( alpha === 0.0 ) {
return dcopy( N, x, strideX, offsetX, w, strideW, offsetW );
}
ix = offsetX;
iw = offsetW;
// Use loop unrolling if both strides are equal to `1`...
if ( strideX === 1 && strideW === 1 ) {
m = N % M;
// If we have a remainder, run a clean-up loop...
if ( m > 0 ) {
for ( i = 0; i < m; i++ ) {
w[ iw ] = x[ ix ] + alpha;
ix += strideX;
iw += strideW;
}
}
if ( N < M ) {
return w;
}
for ( i = m; i < N; i += M ) {
w[ iw ] = x[ ix ] + alpha;
w[ iw+1 ] = x[ ix+1 ] + alpha;
w[ iw+2 ] = x[ ix+2 ] + alpha;
w[ iw+3 ] = x[ ix+3 ] + alpha;
w[ iw+4 ] = x[ ix+4 ] + alpha;
ix += M;
iw += M;
}
return w;
}
for ( i = 0; i < N; i++ ) {
w[ iw ] = x[ ix ] + alpha;
ix += strideX;
iw += strideW;
}
return w;
}
// EXPORTS //
module.exports = dwapx;
|