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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 | 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 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 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) 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 copyIndexed = require( '@stdlib/array/base/copy-indexed' );
var incrementOffsets = require( './increment_offsets.js' );
var setViewOffsets = require( './set_view_offsets.js' );
var offsets = require( './offsets.js' );
// MAIN //
/**
* Applies a one-dimensional strided array function to a list of specified dimensions in an input ndarray and assigns results to a provided output ndarray.
*
* @private
* @param {Function} fcn - wrapper for a one-dimensional strided array function
* @param {Array<Object>} arrays - ndarrays
* @param {Array<Object>} views - initialized ndarray-like objects representing sub-array views
* @param {NonNegativeIntegerArray} shape - loop dimensions
* @param {IntegerArray} stridesX - loop dimension strides for the input ndarray
* @param {IntegerArray} stridesY - loop dimension strides for the output ndarray
* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
* @param {Object} strategyY - strategy for marshaling data to and from an output ndarray view
* @param {Options} opts - function options
* @returns {void}
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
* var getStride = require( '@stdlib/ndarray/base/stride' );
* var getOffset = require( '@stdlib/ndarray/base/offset' );
* var getData = require( '@stdlib/ndarray/base/data-buffer' );
* var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
* var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
* var gcusum = require( '@stdlib/blas/ext/base/gcusum' ).ndarray;
*
* function wrapper( arrays ) {
* var x = arrays[ 0 ];
* var y = arrays[ 1 ];
* var s = arrays[ 2 ];
* return gcusum( numelDimension( x, 0 ), ndarraylike2scalar( s ), getData( x ), getStride( x, 0 ), getOffset( x ), getData( y ), getStride( y, 0 ), getOffset( y ) );
* }
*
* // Create data buffers:
* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
* var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
*
* // Define the array shapes:
* var xsh = [ 3, 2, 2 ];
* var ysh = [ 3, 2, 2 ];
*
* // Define the array strides:
* var sx = [ 4, 2, 1 ];
* var sy = [ 4, 2, 1 ];
*
* // Define the index offsets:
* var ox = 0;
* var oy = 0;
*
* // Create an input ndarray-like object:
* var x = {
* 'dtype': 'float64',
* 'data': xbuf,
* 'shape': xsh,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major'
* };
*
* // Create an ndarray-like object for the initial sum:
* var initial = {
* 'dtype': 'float64',
* 'data': new Float64Array( [ 0.0 ] ),
* 'shape': [ 3 ],
* 'strides': [ 0 ],
* 'offset': 0,
* 'order': 'row-major'
* };
*
* // Create an output ndarray-like object:
* var y = {
* 'dtype': 'float64',
* 'data': ybuf,
* 'shape': ysh,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major'
* };
*
* // Initialize ndarray-like objects representing sub-array views:
* var views = [
* {
* 'dtype': x.dtype,
* 'data': x.data,
* 'shape': [ 2, 2 ],
* 'strides': [ 2, 1 ],
* 'offset': x.offset,
* 'order': x.order
* },
* {
* 'dtype': y.dtype,
* 'data': y.data,
* 'shape': [ 2, 2 ],
* 'strides': [ 2, 1 ],
* 'offset': y.offset,
* 'order': y.order
* },
* {
* 'dtype': initial.dtype,
* 'data': initial.data,
* 'shape': [],
* 'strides': [ 0 ],
* 'offset': initial.offset,
* 'order': initial.order
* }
* ];
*
* // Define an input strategy:
* function inputStrategy( x ) {
* return {
* 'dtype': x.dtype,
* 'data': x.data,
* 'shape': [ 4 ],
* 'strides': [ 1 ],
* 'offset': x.offset,
* 'order': x.order
* };
* }
*
* // Define an output strategy:
* function outputStrategy( x ) {
* return x;
* }
*
* var strategy = {
* 'input': inputStrategy,
* 'output': outputStrategy
* };
*
* // Apply strided function:
* unary1d( wrapper, [ x, y, initial ], views, [ 3 ], [ 4 ], [ 4 ], strategy, strategy, {} );
*
* var arr = ndarray2array( y.data, y.shape, y.strides, y.offset, y.order );
* // returns [ [ [ 1.0, 3.0 ], [ 6.0, 10.0 ] ], [ [ 5.0, 11.0 ], [ 18.0, 26.0 ] ], [ [ 9.0, 19.0 ], [ 30.0, 42.0 ] ] ]
*/
function unary1d( fcn, arrays, views, shape, stridesX, stridesY, strategyX, strategyY, opts ) { // eslint-disable-line max-len
var dv0;
var S0;
var iv;
var i0;
var v;
var i;
// Note on variable naming convention: S#, dv#, 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...
S0 = shape[ 0 ];
dv0 = [
stridesX[0],
stridesY[0]
];
for ( i = 2; i < arrays.length; i++ ) {
dv0.push( arrays[i].strides[0] );
}
// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
iv = offsets( arrays );
// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
v = copyIndexed( views );
// Iterate over the loop dimensions...
for ( i0 = 0; i0 < S0; i0++ ) {
setViewOffsets( views, iv );
v[ 0 ] = strategyX.input( views[ 0 ] );
v[ 1 ] = strategyY.input( views[ 1 ] );
fcn( v, opts );
strategyY.output( views[ 1 ] );
incrementOffsets( iv, dv0 );
}
}
// EXPORTS //
module.exports = unary1d;
|