time-to-botec

Benchmark sampling in different programming languages
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dnanasumors.c (1574B)


      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 #include "stdlib/blas/ext/base/dnanasumors.h"
     20 #include "stdlib/math/base/assert/is_nan.h"
     21 #include <stdint.h>
     22 #include <math.h>
     23 
     24 /**
     25 * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
     26 *
     27 * @param N       number of indexed elements
     28 * @param X       input array
     29 * @param stride  stride length
     30 * @return        output value
     31 */
     32 double stdlib_strided_dnanasumors( const int64_t N, const double *X, const int64_t stride ) {
     33 	double sum;
     34 	int64_t ix;
     35 	int64_t i;
     36 	double v;
     37 
     38 	if ( N <= 0 ) {
     39 		return 0.0;
     40 	}
     41 	if ( N == 1 || stride == 0 ) {
     42 		if ( stdlib_base_is_nan( X[ 0 ] ) ) {
     43 			return 0.0;
     44 		}
     45 		return fabs( X[ 0 ] );
     46 	}
     47 	if ( stride < 0 ) {
     48 		ix = (1-N) * stride;
     49 	} else {
     50 		ix = 0;
     51 	}
     52 	sum = 0.0;
     53 	for ( i = 0; i < N; i++ ) {
     54 		v = X[ ix ];
     55 		if ( !stdlib_base_is_nan( v ) ) {
     56 			sum += fabs( v );
     57 		}
     58 		ix += stride;
     59 	}
     60 	return sum;
     61 }