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180 changes: 180 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/base/gmskrev/README.md
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<!--

@license Apache-2.0

Copyright (c) 2026 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.

-->

# gmskrev

> Reverse a strided array in-place according to a mask.

<section class="usage">

## Usage

```javascript
var gmskrev = require( '@stdlib/blas/ext/base/gmskrev' );
```

#### gmskrev( N, x, strideX, mask, strideMask )

Reverses a strided array in-place according to a mask.

```javascript
var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ];
var mask = [ 0, 0, 0, 1, 0, 0, 0, 0 ];

gmskrev( x.length, x, 1, mask, 1 );
// x => [ -3.0, -1.0, 0.0, -5.0, 4.0, 3.0, 1.0, -2.0 ]
```

The function has the following parameters:

- **N**: number of indexed elements.
- **x**: input array.
- **strideX**: stride length for `x`.
- **mask**: mask array.
- **strideMask**: stride length for `mask`.

The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to reverse every other element:

```javascript
var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ];
var mask = [ 0, 0, 0, 0 ];

gmskrev( 4, x, 2, mask, 1 );
// x => [ -1.0, 1.0, 4.0, -5.0, 3.0, 0.0, -2.0, -3.0 ]
```

Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.

```javascript
var Float64Array = require( '@stdlib/array/float64' );
var Uint8Array = require( '@stdlib/array/uint8' );

// Initial arrays...
var x0 = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
var m0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0 ] );

// Create offset views...
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var m1 = new Uint8Array( m0.buffer, m0.BYTES_PER_ELEMENT*1 );

// Reverse every other element...
gmskrev( 3, x1, 2, m1, 1 );
// x0 => <Float64Array>[ 1.0, -6.0, 3.0, -4.0, 5.0, -2.0 ]
```

#### gmskrev.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask )

Reverses a strided array in-place according to a mask and using alternative indexing semantics.

```javascript
var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ];
var mask = [ 0, 0, 0, 1, 0, 0, 0, 0 ];

gmskrev.ndarray( x.length, x, 1, 0, mask, 1, 0 );
// x => [ -3.0, -1.0, 0.0, -5.0, 4.0, 3.0, 1.0, -2.0 ]
```

The function has the following additional parameters:

- **offsetX**: starting index for `x`.
- **offsetMask**: starting index for `mask`.

While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to access only the last three elements:

```javascript
var x = [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ];
var mask = [ 0, 0, 0, 0, 0, 0 ];

gmskrev.ndarray( 3, x, 1, x.length-3, mask, 1, 3 );
// x => [ 1.0, -2.0, 3.0, -6.0, 5.0, -4.0 ]
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- If `N <= 0`, both functions return `x` unchanged.
- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/complex64`][@stdlib/array/complex64]).
- A mask value of `0` indicates that the corresponding element in `x` participates in the reversal, while a non-zero mask value indicates that the corresponding element should be skipped.
- Where possible, one should "reverse" a strided array by negating its stride, which is an `O(1)` operation, in contrast to performing an in-place reversal, which is `O(N)`. However, in certain circumstances, this is not tenable, particularly when interfacing with libraries which assume and/or expect a specific memory layout (e.g., strided array elements arranged in memory in ascending order). In general, when working with strided arrays, only perform an in-place reversal when strictly necessary.
- Depending on the environment, the typed versions ([`dmskrev`][@stdlib/blas/ext/base/dmskrev], [`smskrev`][@stdlib/blas/ext/base/smskrev], etc.) are likely to be significantly more performant.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var Uint8Array = require( '@stdlib/array/uint8' );
var gmskrev = require( '@stdlib/blas/ext/base/gmskrev' );

var x = discreteUniform( 10, -100, 100, {
'dtype': 'generic'
});
console.log( x );

var mask = new Uint8Array( [ 0, 0, 0, 1, 0, 0, 1, 0, 0, 0 ] );
console.log( mask );

gmskrev( x.length, x, 1, mask, 1 );
console.log( x );
```

</section>

<!-- /.examples -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="links">

[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray

[@stdlib/array/complex64]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/complex64

[@stdlib/blas/ext/base/dmskrev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dmskrev

[@stdlib/blas/ext/base/smskrev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/smskrev

<!-- <related-links> -->

<!-- </related-links> -->

</section>

<!-- /.links -->
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/**
* @license Apache-2.0
*
* Copyright (c) 2026 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.
*/

'use strict';

// MODULES //

var bench = require( '@stdlib/bench' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var zeros = require( '@stdlib/array/zeros' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var gmskrev = require( './../lib/main.js' );


// FUNCTIONS //

/**
* Create a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var mask = zeros( len, 'uint8' );
var x = uniform( len, -100.0, 100.0, {
'dtype': 'generic'
});
return benchmark;

/**
* Benchmark function.
*
* @private
* @param {Benchmark} b - benchmark instance
*/
function benchmark( b ) {
var y;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = gmskrev( x.length, x, 1, mask, 1 );
if ( isnan( y[ i%x.length ] ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( isnan( y[ i%x.length ] ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
}
}


// MAIN //

function main() {
var len;
var min;
var max;
var f;
var i;

min = 1; // 10^min
max = 6; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( format( '%s:len=%d', pkg, len ), f );
}
}

main();
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@@ -0,0 +1,95 @@
/**
* @license Apache-2.0
*
* Copyright (c) 2026 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.
*/

'use strict';

// MODULES //

var bench = require( '@stdlib/bench' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var zeros = require( '@stdlib/array/zeros' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var gmskrev = require( './../lib/ndarray.js' );


// FUNCTIONS //

/**
* Create a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var mask = zeros( len, 'uint8' );
var x = uniform( len, -100.0, 100.0, {
'dtype': 'generic'
});
return benchmark;

/**
* Benchmark function.
*
* @private
* @param {Benchmark} b - benchmark instance
*/
function benchmark( b ) {
var y;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = gmskrev( x.length, x, 1, 0, mask, 1, 0 );
if ( isnan( y[ i%x.length ] ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( isnan( y[ i%x.length ] ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
}
}


// MAIN //

function main() {
var len;
var min;
var max;
var f;
var i;

min = 1; // 10^min
max = 6; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( format( '%s:ndarray:len=%d', pkg, len ), f );
}
}

main();
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