time-to-botec

Benchmark sampling in different programming languages
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10d_accessors.js (7443B)


      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2021 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 /* eslint-disable max-depth */
     20 
     21 'use strict';
     22 
     23 // MAIN //
     24 
     25 /**
     26 * Applies a unary callback to elements in a ten-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
     27 *
     28 * @private
     29 * @param {Object} x - object containing input ndarray meta data
     30 * @param {string} x.dtype - data type
     31 * @param {Collection} x.data - data buffer
     32 * @param {NonNegativeIntegerArray} x.shape - dimensions
     33 * @param {IntegerArray} x.strides - stride lengths
     34 * @param {NonNegativeInteger} x.offset - index offset
     35 * @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
     36 * @param {Function} x.getter - callback for accessing `x` data buffer elements
     37 * @param {Object} y - object containing output ndarray meta data
     38 * @param {string} y.dtype - data type
     39 * @param {Collection} y.data - data buffer
     40 * @param {NonNegativeIntegerArray} y.shape - dimensions
     41 * @param {IntegerArray} y.strides - stride lengths
     42 * @param {NonNegativeInteger} y.offset - index offset
     43 * @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
     44 * @param {Function} y.setter - callback for setting `y` data buffer elements
     45 * @param {Callback} fcn - unary callback
     46 * @returns {void}
     47 *
     48 * @example
     49 * var Complex64Array = require( '@stdlib/array/complex64' );
     50 * var Complex64 = require( '@stdlib/complex/float32' );
     51 * var real = require( '@stdlib/complex/real' );
     52 * var imag = require( '@stdlib/complex/imag' );
     53 *
     54 * function scale( z ) {
     55 *     return new Complex64( real(z)*10.0, imag(z)*10.0 );
     56 * }
     57 *
     58 * // Create data buffers:
     59 * var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
     60 * var ybuf = new Complex64Array( 4 );
     61 *
     62 * // Define the shape of the input and output arrays:
     63 * var shape = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 ];
     64 *
     65 * // Define the array strides:
     66 * var sx = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 1 ];
     67 * var sy = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 1 ];
     68 *
     69 * // Define the index offsets:
     70 * var ox = 0;
     71 * var oy = 0;
     72 *
     73 * // Define getters and setters:
     74 * function getter( buf, idx ) {
     75 *     return buf.get( idx );
     76 * }
     77 *
     78 * function setter( buf, idx, value ) {
     79 *     buf.set( value, idx );
     80 * }
     81 *
     82 * // Create the input and output ndarray-like objects:
     83 * var x = {
     84 *     'dtype': 'complex64',
     85 *     'data': xbuf,
     86 *     'shape': shape,
     87 *     'strides': sx,
     88 *     'offset': ox,
     89 *     'order': 'row-major',
     90 *     'getter': getter
     91 * };
     92 * var y = {
     93 *     'dtype': 'complex64',
     94 *     'data': ybuf,
     95 *     'shape': shape,
     96 *     'strides': sy,
     97 *     'offset': oy,
     98 *     'order': 'row-major',
     99 *     'setter': setter
    100 * };
    101 *
    102 * // Apply the unary function:
    103 * unary10d( x, y, scale );
    104 *
    105 * var v = y.data.get( 0 );
    106 *
    107 * var re = real( v );
    108 * // returns 10.0
    109 *
    110 * var im = imag( v );
    111 * // returns 20.0
    112 */
    113 function unary10d( x, y, fcn ) { // eslint-disable-line max-statements
    114 	var xbuf;
    115 	var ybuf;
    116 	var get;
    117 	var set;
    118 	var dx0;
    119 	var dx1;
    120 	var dx2;
    121 	var dx3;
    122 	var dx4;
    123 	var dx5;
    124 	var dx6;
    125 	var dx7;
    126 	var dx8;
    127 	var dx9;
    128 	var dy0;
    129 	var dy1;
    130 	var dy2;
    131 	var dy3;
    132 	var dy4;
    133 	var dy5;
    134 	var dy6;
    135 	var dy7;
    136 	var dy8;
    137 	var dy9;
    138 	var sh;
    139 	var S0;
    140 	var S1;
    141 	var S2;
    142 	var S3;
    143 	var S4;
    144 	var S5;
    145 	var S6;
    146 	var S7;
    147 	var S8;
    148 	var S9;
    149 	var sx;
    150 	var sy;
    151 	var ix;
    152 	var iy;
    153 	var i0;
    154 	var i1;
    155 	var i2;
    156 	var i3;
    157 	var i4;
    158 	var i5;
    159 	var i6;
    160 	var i7;
    161 	var i8;
    162 	var i9;
    163 
    164 	// Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
    165 
    166 	// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
    167 	sh = x.shape;
    168 	sx = x.strides;
    169 	sy = y.strides;
    170 	if ( x.order === 'row-major' ) {
    171 		// For row-major ndarrays, the last dimensions have the fastest changing indices...
    172 		S0 = sh[ 9 ];
    173 		S1 = sh[ 8 ];
    174 		S2 = sh[ 7 ];
    175 		S3 = sh[ 6 ];
    176 		S4 = sh[ 5 ];
    177 		S5 = sh[ 4 ];
    178 		S6 = sh[ 3 ];
    179 		S7 = sh[ 2 ];
    180 		S8 = sh[ 1 ];
    181 		S9 = sh[ 0 ];
    182 		dx0 = sx[ 9 ];                // offset increment for innermost loop
    183 		dx1 = sx[ 8 ] - ( S0*sx[9] );
    184 		dx2 = sx[ 7 ] - ( S1*sx[8] );
    185 		dx3 = sx[ 6 ] - ( S2*sx[7] );
    186 		dx4 = sx[ 5 ] - ( S3*sx[6] );
    187 		dx5 = sx[ 4 ] - ( S4*sx[5] );
    188 		dx6 = sx[ 3 ] - ( S5*sx[4] );
    189 		dx7 = sx[ 2 ] - ( S6*sx[3] );
    190 		dx8 = sx[ 1 ] - ( S7*sx[2] );
    191 		dx9 = sx[ 0 ] - ( S8*sx[1] ); // offset increment for outermost loop
    192 		dy0 = sy[ 9 ];
    193 		dy1 = sy[ 8 ] - ( S0*sy[9] );
    194 		dy2 = sy[ 7 ] - ( S1*sy[8] );
    195 		dy3 = sy[ 6 ] - ( S2*sy[7] );
    196 		dy4 = sy[ 5 ] - ( S3*sy[6] );
    197 		dy5 = sy[ 4 ] - ( S4*sy[5] );
    198 		dy6 = sy[ 3 ] - ( S5*sy[4] );
    199 		dy7 = sy[ 2 ] - ( S6*sy[3] );
    200 		dy8 = sy[ 1 ] - ( S7*sy[2] );
    201 		dy9 = sy[ 0 ] - ( S8*sy[1] );
    202 	} else { // order === 'column-major'
    203 		// For column-major ndarrays, the first dimensions have the fastest changing indices...
    204 		S0 = sh[ 0 ];
    205 		S1 = sh[ 1 ];
    206 		S2 = sh[ 2 ];
    207 		S3 = sh[ 3 ];
    208 		S4 = sh[ 4 ];
    209 		S5 = sh[ 5 ];
    210 		S6 = sh[ 6 ];
    211 		S7 = sh[ 7 ];
    212 		S8 = sh[ 8 ];
    213 		S9 = sh[ 9 ];
    214 		dx0 = sx[ 0 ];                // offset increment for innermost loop
    215 		dx1 = sx[ 1 ] - ( S0*sx[0] );
    216 		dx2 = sx[ 2 ] - ( S1*sx[1] );
    217 		dx3 = sx[ 3 ] - ( S2*sx[2] );
    218 		dx4 = sx[ 4 ] - ( S3*sx[3] );
    219 		dx5 = sx[ 5 ] - ( S4*sx[4] );
    220 		dx6 = sx[ 6 ] - ( S5*sx[5] );
    221 		dx7 = sx[ 7 ] - ( S6*sx[6] );
    222 		dx8 = sx[ 8 ] - ( S7*sx[7] );
    223 		dx9 = sx[ 9 ] - ( S8*sx[8] ); // offset increment for outermost loop
    224 		dy0 = sy[ 0 ];
    225 		dy1 = sy[ 1 ] - ( S0*sy[0] );
    226 		dy2 = sy[ 2 ] - ( S1*sy[1] );
    227 		dy3 = sy[ 3 ] - ( S2*sy[2] );
    228 		dy4 = sy[ 4 ] - ( S3*sy[3] );
    229 		dy5 = sy[ 5 ] - ( S4*sy[4] );
    230 		dy6 = sy[ 6 ] - ( S5*sy[5] );
    231 		dy7 = sy[ 7 ] - ( S6*sy[6] );
    232 		dy8 = sy[ 8 ] - ( S7*sy[7] );
    233 		dy9 = sy[ 9 ] - ( S8*sy[8] );
    234 	}
    235 	// Set the pointers to the first indexed elements in the respective ndarrays...
    236 	ix = x.offset;
    237 	iy = y.offset;
    238 
    239 	// Cache references to the input and output ndarray buffers...
    240 	xbuf = x.data;
    241 	ybuf = y.data;
    242 
    243 	// Cache accessors:
    244 	get = x.getter;
    245 	set = y.setter;
    246 
    247 	// Iterate over the ndarray dimensions...
    248 	for ( i9 = 0; i9 < S9; i9++ ) {
    249 		for ( i8 = 0; i8 < S8; i8++ ) {
    250 			for ( i7 = 0; i7 < S7; i7++ ) {
    251 				for ( i6 = 0; i6 < S6; i6++ ) {
    252 					for ( i5 = 0; i5 < S5; i5++ ) {
    253 						for ( i4 = 0; i4 < S4; i4++ ) {
    254 							for ( i3 = 0; i3 < S3; i3++ ) {
    255 								for ( i2 = 0; i2 < S2; i2++ ) {
    256 									for ( i1 = 0; i1 < S1; i1++ ) {
    257 										for ( i0 = 0; i0 < S0; i0++ ) {
    258 											set( ybuf, iy, fcn( get( xbuf, ix ) ) ); // eslint-disable-line max-len
    259 											ix += dx0;
    260 											iy += dy0;
    261 										}
    262 										ix += dx1;
    263 										iy += dy1;
    264 									}
    265 									ix += dx2;
    266 									iy += dy2;
    267 								}
    268 								ix += dx3;
    269 								iy += dy3;
    270 							}
    271 							ix += dx4;
    272 							iy += dy4;
    273 						}
    274 						ix += dx5;
    275 						iy += dy5;
    276 					}
    277 					ix += dx6;
    278 					iy += dy6;
    279 				}
    280 				ix += dx7;
    281 				iy += dy7;
    282 			}
    283 			ix += dx8;
    284 			iy += dy8;
    285 		}
    286 		ix += dx9;
    287 		iy += dy9;
    288 	}
    289 }
    290 
    291 
    292 // EXPORTS //
    293 
    294 module.exports = unary10d;