time-to-botec

Benchmark sampling in different programming languages
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sum.js (1697B)


      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2020 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 'use strict';
     20 
     21 // MODULES //
     22 
     23 var Float64Array = require( '@stdlib/array/float64' );
     24 
     25 
     26 // MAIN //
     27 
     28 /**
     29 * Computes the sum along a matrix dimension.
     30 *
     31 * @param {Matrix} mat - input matrix
     32 * @param {number} [dim=2] - matrix dimension along which to compute the sum. If `dim=1`, compute along matrix rows. If `dim=2`, compute along matrix columns.
     33 * @returns {(Int32Array|number)} sums or 0
     34 */
     35 function sum( mat, dim ) {
     36 	var out;
     37 	var s0;
     38 	var s1;
     39 	var s;
     40 	var M;
     41 	var N;
     42 	var o;
     43 	var i;
     44 	var j;
     45 	var k;
     46 
     47 	if ( dim === 1 ) {
     48 		// Compute along the rows...
     49 		M = mat.shape[ 1 ];
     50 		N = mat.shape[ 0 ];
     51 		s0 = mat.strides[ 1 ];
     52 		s1 = mat.strides[ 0 ];
     53 	} else {
     54 		// Compute along the columns...
     55 		M = mat.shape[ 0 ];
     56 		N = mat.shape[ 1 ];
     57 		s0 = mat.strides[ 0 ];
     58 		s1 = mat.strides[ 1 ];
     59 	}
     60 	if ( M === 0 || N === 0 ) {
     61 		return 0;
     62 	}
     63 	out = new Float64Array( M );
     64 	o = mat.offset;
     65 	for ( i = 0; i < M; i++ ) {
     66 		k = o + ( i*s0 );
     67 		s = 0;
     68 		for ( j = 0; j < N; j++ ) {
     69 			s += mat.data[ k + ( j*s1 ) ];
     70 		}
     71 		out[ i ] = s;
     72 	}
     73 	return out;
     74 }
     75 
     76 
     77 // EXPORTS //
     78 
     79 module.exports = sum;