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 | 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 two-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 = [ 3, 2 ];
*
* // Define the array strides:
* var sy = [ 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:
* assign2d( 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 assign2d( re, im, y, isRowMajor ) {
var ybuf;
var dy0;
var dy1;
var sh;
var S0;
var S1;
var sy;
var iy;
var i0;
var i1;
// 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[ 1 ];
S1 = sh[ 0 ];
dy0 = sy[ 1 ]; // offset increment for innermost loop
dy1 = sy[ 0 ] - ( S0*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 ];
dy0 = sy[ 0 ]; // offset increment for innermost loop
dy1 = sy[ 1 ] - ( S0*sy[0] ); // 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 ( i1 = 0; i1 < S1; i1++ ) {
for ( i0 = 0; i0 < S0; i0++ ) {
ybuf[ iy ] = re;
ybuf[ iy+1 ] = im;
iy += dy0;
}
iy += dy1;
}
}
// EXPORTS //
module.exports = assign2d;
|