time-to-botec

Benchmark sampling in different programming languages
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scumaxabs.js (2147B)


      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 isnanf = require( '@stdlib/math/base/assert/is-nanf' );
     24 var abs = require( '@stdlib/math/base/special/abs' );
     25 
     26 
     27 // MAIN //
     28 
     29 /**
     30 * Computes the cumulative maximum absolute value of single-precision floating-point strided array elements.
     31 *
     32 * @param {PositiveInteger} N - number of indexed elements
     33 * @param {Float32Array} x - input array
     34 * @param {integer} strideX - `x` stride length
     35 * @param {Float32Array} y - output array
     36 * @param {integer} strideY - `y` stride length
     37 * @returns {Float32Array} output array
     38 *
     39 * @example
     40 * var Float32Array = require( '@stdlib/array/float32' );
     41 *
     42 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
     43 * var y = new Float32Array( x.length );
     44 * var N = x.length;
     45 *
     46 * var v = scumaxabs( N, x, 1, y, 1 );
     47 * // returns <Float32Array>[ 1.0, 2.0, 2.0 ]
     48 */
     49 function scumaxabs( N, x, strideX, y, strideY ) {
     50 	var max;
     51 	var ix;
     52 	var iy;
     53 	var v;
     54 	var i;
     55 
     56 	if ( N <= 0 ) {
     57 		return y;
     58 	}
     59 	if ( strideX < 0 ) {
     60 		ix = (1-N) * strideX;
     61 	} else {
     62 		ix = 0;
     63 	}
     64 	if ( strideY < 0 ) {
     65 		iy = (1-N) * strideY;
     66 	} else {
     67 		iy = 0;
     68 	}
     69 	max = abs( x[ ix ] );
     70 	y[ iy ] = max;
     71 
     72 	iy += strideY;
     73 	i = 1;
     74 	if ( isnanf( max ) === false ) {
     75 		for ( i; i < N; i++ ) {
     76 			ix += strideX;
     77 			v = abs( x[ ix ] );
     78 			if ( isnanf( v ) ) {
     79 				max = v;
     80 				break;
     81 			}
     82 			if ( v > max ) {
     83 				max = v;
     84 			}
     85 			y[ iy ] = max;
     86 			iy += strideY;
     87 		}
     88 	}
     89 	if ( isnanf( max ) ) {
     90 		for ( i; i < N; i++ ) {
     91 			y[ iy ] = max;
     92 			iy += strideY;
     93 		}
     94 	}
     95 	return y;
     96 }
     97 
     98 
     99 // EXPORTS //
    100 
    101 module.exports = scumaxabs;