336 lines
10 KiB
Markdown
336 lines
10 KiB
Markdown
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<!--
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@license Apache-2.0
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Copyright (c) 2020 The Stdlib Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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-->
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<!-- lint disable maximum-heading-length -->
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# dmskmap
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> Apply a unary function accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array according to a corresponding element in a strided mask array and assign each result to an element in a double-precision floating-point strided output array.
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<section class="intro">
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</section>
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<!-- /.intro -->
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<section class="usage">
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## Usage
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```javascript
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var dmskmap = require( '@stdlib/strided/base/dmskmap' );
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```
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#### dmskmap( N, x, strideX, mask, strideMask, y, strideY, fcn )
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Applies a unary function accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array according to a corresponding element in a strided mask array and assigns each result to an element in a double-precision floating-point strided output array.
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var Uint8Array = require( '@stdlib/array/uint8' );
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var abs = require( '@stdlib/math/base/special/abs' );
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var x = new Float64Array( [ -2.0, 1.0, -3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
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var m = new Uint8Array( [ 0, 0, 1, 0, 0, 1, 1, 0 ] );
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// Compute the absolute values in-place:
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dmskmap( x.length, x, 1, m, 1, x, 1, abs );
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// x => <Float64Array>[ 2.0, 1.0, -3.0, 5.0, 4.0, 0.0, -1.0, 3.0 ]
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```
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The function accepts the following arguments:
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- **N**: number of indexed elements.
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- **x**: input [`Float64Array`][@stdlib/array/float64].
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- **strideX**: index increment for `x`.
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- **mask**: mask [`Uint8Array`][@stdlib/array/uint8].
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- **strideMask**: index increment for `mask`.
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- **y**: output [`Float64Array`][@stdlib/array/float64].
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- **strideY**: index increment for `y`.
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- **fcn**: function to apply.
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The `N` and `stride` parameters determine which elements in the strided arrays are accessed at runtime. For example, to index every other value in `x` and to index the first `N` elements of `y` in reverse order,
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var Uint8Array = require( '@stdlib/array/uint8' );
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var floor = require( '@stdlib/math/base/special/floor' );
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var abs = require( '@stdlib/math/base/special/abs' );
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var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );
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var m = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] );
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var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
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var N = floor( x.length / 2 );
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dmskmap( N, x, 2, m, 2, y, -1, abs );
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// y => <Float64Array>[ 5.0, 0.0, 1.0, 0.0, 0.0, 0.0 ]
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```
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Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][@stdlib/array/float64] views.
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var Uint8Array = require( '@stdlib/array/uint8' );
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var floor = require( '@stdlib/math/base/special/floor' );
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var abs = require( '@stdlib/math/base/special/abs' );
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// Initial arrays...
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var x0 = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );
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var m0 = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] );
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var y0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
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// Create offset views...
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var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
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var m1 = new Uint8Array( m0.buffer, m0.BYTES_PER_ELEMENT*3 ); // start at 4th element
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var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
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var N = floor( x0.length / 2 );
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dmskmap( N, x1, -2, m1, 1, y1, 1, abs );
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// y0 => <Float64Array>[ 0.0, 0.0, 0.0, 6.0, 4.0, 0.0 ]
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```
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#### dmskmap.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask, y, strideY, offsetY, fcn )
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Applies a unary function accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array according to a corresponding element in a strided mask array and assigns each result to an element in a double-precision floating-point strided output array using alternative indexing semantics.
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var Uint8Array = require( '@stdlib/array/uint8' );
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var abs = require( '@stdlib/math/base/special/abs' );
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var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0 ] );
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var m = new Uint8Array( [ 0, 0, 1, 0, 0 ] );
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var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );
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dmskmap.ndarray( x.length, x, 1, 0, m, 1, 0, y, 1, 0, abs );
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// y => <Float64Array>[ 1.0, 2.0, 0.0, 4.0, 5.0 ]
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```
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The function accepts the following additional arguments:
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- **offsetX**: starting index for `x`.
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- **offsetMask**: starting index for `mask`.
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- **offsetY**: starting index for `y`.
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While [`typed array`][@stdlib/array/float64] views mandate a view offset based on the underlying `buffer`, the `offsetX` and `offsetY` parameters support indexing semantics based on starting indices. For example, to index every other value in `x` starting from the second value and to index the last `N` elements in `y`,
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var Uint8Array = require( '@stdlib/array/uint8' );
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var floor = require( '@stdlib/math/base/special/floor' );
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var abs = require( '@stdlib/math/base/special/abs' );
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var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );
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var m = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] );
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var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
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var N = floor( x.length / 2 );
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dmskmap.ndarray( N, x, 2, 1, m, 2, 1, y, -1, y.length-1, abs );
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// y => <Float64Array>[ 0.0, 0.0, 0.0, 0.0, 4.0, 2.0 ]
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```
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</section>
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<!-- /.usage -->
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<section class="notes">
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</section>
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<!-- /.notes -->
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<section class="examples">
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## Examples
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<!-- eslint no-undef: "error" -->
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```javascript
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var round = require( '@stdlib/math/base/special/round' );
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var randu = require( '@stdlib/random/base/randu' );
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var bernoulli = require( '@stdlib/random/base/bernoulli' );
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var Float64Array = require( '@stdlib/array/float64' );
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var Uint8Array = require( '@stdlib/array/uint8' );
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var dmskmap = require( '@stdlib/strided/base/dmskmap' );
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function scale( x ) {
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return x * 10.0;
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}
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var x = new Float64Array( 10 );
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var m = new Uint8Array( x.length );
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var y = new Float64Array( x.length );
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var i;
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for ( i = 0; i < x.length; i++ ) {
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x[ i ] = round( (randu()*200.0) - 100.0 );
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m[ i ] = bernoulli( 0.2 );
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}
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console.log( x );
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console.log( m );
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console.log( y );
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dmskmap.ndarray( x.length, x, 1, 0, m, 1, 0, y, -1, y.length-1, scale );
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console.log( y );
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```
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</section>
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<!-- /.examples -->
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<!-- C interface documentation. -->
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* * *
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<section class="c">
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## C APIs
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<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
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<section class="intro">
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</section>
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<!-- /.intro -->
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<!-- C usage documentation. -->
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<section class="usage">
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### Usage
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```c
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#include "stdlib/strided/base/dmskmap.h"
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```
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#### stdlib_strided_dmskmap( N, \*X, strideX, \*Mask, strideMask, \*Y, strideY, fcn )
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Applies a unary function accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array according to a corresponding element in a strided mask array and assigns each result to an element in a double-precision floating-point strided output array.
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```c
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#include <stdint.h>
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static double scale( const double x ) {
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return x * 10.0;
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}
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double X[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
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uint8_t M[] = { 0, 0, 1, 0, 0, 1 };
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double Y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
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int64_t N = 6;
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stdlib_strided_dmskmap( N, X, 1, M, 1, Y, 1, scale );
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```
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The function accepts the following arguments:
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- **N**: `[in] int64_t` number of indexed elements.
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- **X**: `[in] double*` input array.
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- **strideX** `[in] int64_t` index increment for `X`.
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- **Mask**: `[in] uint8_t*` mask array.
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- **strideMask**: `[in] int64_t` index increment for `Mask`.
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- **Y**: `[out] double*` output array.
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- **strideY**: `[in] int64_t` index increment for `Y`.
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- **fcn**: `[in] double (*fcn)( double )` unary function to apply.
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```c
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void stdlib_strided_dmskmap( const int64_t N, const double *X, const int64_t strideX, const uint8_t *Mask, const int64_t strideMask, double *Y, const int64_t strideY, double (*fcn)( double ) );
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```
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</section>
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<!-- /.usage -->
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<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
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<section class="notes">
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</section>
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<!-- /.notes -->
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<!-- C API usage examples. -->
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<section class="examples">
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### Examples
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```c
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#include "stdlib/strided/base/dmskmap.h"
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#include <stdint.h>
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#include <stdio.h>
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#include <inttypes.h>
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// Define a callback:
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static double scale( const double x ) {
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return x * 10.0;
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}
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int main() {
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// Create an input strided array:
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double X[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
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// Create a mask strided array:
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uint8_t M[] = { 0, 0, 1, 0, 0, 1 };
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// Create an output strided array:
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double Y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
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// Specify the number of elements:
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int64_t N = 6;
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// Define the strides:
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int64_t strideX = 1;
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int64_t strideM = 1;
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int64_t strideY = -1;
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// Apply the callback:
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stdlib_strided_dmskmap( N, X, strideX, M, strideM, Y, strideY, scale );
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// Print the results:
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for ( int64_t i = 0; i < N; i++ ) {
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printf( "Y[ %"PRId64" ] = %lf\n", i, Y[ i ] );
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}
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}
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```
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</section>
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<!-- /.examples -->
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</section>
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<!-- /.c -->
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<section class="links">
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[@stdlib/array/float64]: https://www.npmjs.com/package/@stdlib/array-float64
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[@stdlib/array/uint8]: https://www.npmjs.com/package/@stdlib/array-uint8
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</section>
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<!-- /.links -->
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