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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x | /**
* @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';
// MAIN //
/**
* Assigns a scalar value to every element of a reinterpreted complex number five-dimensional output ndarray.
*
* @private
* @param {number} re - real component
* @param {number} im - imaginary component
* @param {Object} y - object containing output ndarray meta data
* @param {*} y.dtype - data type
* @param {Collection} y.data - data buffer
* @param {NonNegativeIntegerArray} y.shape - dimensions
* @param {IntegerArray} y.strides - stride lengths
* @param {NonNegativeInteger} y.offset - index offset
* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
* @returns {void}
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* // Create a data buffer:
* var ybuf = new Float64Array( 12 );
*
* // Define the shape of the output array:
* var shape = [ 1, 1, 3, 1, 2 ];
*
* // Define the array strides:
* var sy = [ 12, 12, 4, 4, 2 ];
*
* // Define the index offset:
* var oy = 0;
*
* // Create the output ndarray-like object:
* var y = {
* 'dtype': 'float64',
* 'data': ybuf,
* 'shape': shape,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major'
* };
*
* // Assign scalar:
* assign5d( 2.0, 2.0, y, true );
*
* console.log( y.data );
* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
*/
function assign5d( re, im, y, isRowMajor ) {
var ybuf;
var dy0;
var dy1;
var dy2;
var dy3;
var dy4;
var sh;
var S0;
var S1;
var S2;
var S3;
var S4;
var sy;
var iy;
var i0;
var i1;
var i2;
var i3;
var i4;
// Note on variable naming convention: S#, 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 = y.shape;
sy = y.strides;
if ( isRowMajor ) {
// For row-major ndarrays, the last dimensions have the fastest changing indices...
S0 = sh[ 4 ];
S1 = sh[ 3 ];
S2 = sh[ 2 ];
S3 = sh[ 1 ];
S4 = sh[ 0 ];
dy0 = sy[ 4 ]; // offset increment for innermost loop
dy1 = sy[ 3 ] - ( S0*sy[4] );
dy2 = sy[ 2 ] - ( S1*sy[3] );
dy3 = sy[ 1 ] - ( S2*sy[2] );
dy4 = sy[ 0 ] - ( S3*sy[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 ];
S2 = sh[ 2 ];
S3 = sh[ 3 ];
S4 = sh[ 4 ];
dy0 = sy[ 0 ]; // offset increment for innermost loop
dy1 = sy[ 1 ] - ( S0*sy[0] );
dy2 = sy[ 2 ] - ( S1*sy[1] );
dy3 = sy[ 3 ] - ( S2*sy[2] );
dy4 = sy[ 4 ] - ( S3*sy[3] ); // offset increment for outermost loop
}
// Set a pointer to the first indexed element in the output ndarray:
iy = y.offset;
// Cache a reference to the output ndarray buffer:
ybuf = y.data;
// Iterate over the ndarray dimensions...
for ( i4 = 0; i4 < S4; i4++ ) {
for ( i3 = 0; i3 < S3; i3++ ) {
for ( i2 = 0; i2 < S2; i2++ ) {
for ( i1 = 0; i1 < S1; i1++ ) {
for ( i0 = 0; i0 < S0; i0++ ) {
ybuf[ iy ] = re;
ybuf[ iy+1 ] = im;
iy += dy0;
}
iy += dy1;
}
iy += dy2;
}
iy += dy3;
}
iy += dy4;
}
}
// EXPORTS //
module.exports = assign5d;
|