time-to-botec/js/node_modules/@stdlib/math/strided/special/smskinv/src/smskinv.c
NunoSempere b6addc7f05 feat: add the node modules
Necessary in order to clearly see the squiggle hotwiring.
2022-12-03 12:44:49 +00:00

61 lines
2.1 KiB
C

/**
* @license Apache-2.0
*
* Copyright (c) 2021 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.
*/
#include "stdlib/math/strided/special/smskinv.h"
#include "stdlib/strided/base/smskmap.h"
#include "stdlib/math/base/special/invf.h"
#include <stdint.h>
/**
* Computes the multiplicative inverse for each element in a single-precision floating-point strided array `X` according to a strided mask array and assigns the results to elements in a single-precision floating-point strided array `Y`.
*
* @param N number of indexed elements
* @param X input array
* @param strideX X stride length
* @param Mask mask array
* @param strideMask Mask stride length
* @param Y destination array
* @param strideY Y stride length
*
* @example
* include <stdint.h>
*
* // Create an input strided array:
* float x[] = { -20.0, -1.0, 2.0, 4.0, 10.0, 100.0, 0.0, -0.0 };
*
* // Create a mask strided array:
* uint8_t m[] = { 0, 0, 1, 0, 1, 1, 0, 0 };
*
* // Create an output strided array:
* float y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
*
* // Specify the number of elements:
* int64_t N = 4;
*
* // Specify the stride lengths:
* int64_t strideX = 2;
* int64_t strideM = 2;
* int64_t strideY = 2;
*
* // Compute the results:
* stdlib_strided_smskinv( N, x, strideX, m, strideM, y, strideY );
*/
void stdlib_strided_smskinv( const int64_t N, const float *X, const int64_t strideX, const uint8_t *Mask, const int64_t strideMask, float *Y, const int64_t strideY ) {
stdlib_strided_smskmap( N, X, strideX, Mask, strideMask, Y, strideY, stdlib_base_invf );
}