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146 changes: 146 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/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.

-->

# scopyWithin

> Perform an in-place copy of elements within a one-dimensional single-precision floating-point ndarray.

<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var scopyWithin = require( '@stdlib/blas/ext/base/ndarray/scopy-within' );
```

#### scopyWithin( arrays )

Performs an in-place copy of elements within a one-dimensional single-precision floating-point ndarray.

```javascript
var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var zeros = require( '@stdlib/ndarray/zeros' );

var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var target = scalar2ndarray( 3, {
'dtype': 'generic'
});
var start = scalar2ndarray( 1, {
'dtype': 'generic'
});
var end = scalar2ndarray( 4, {
'dtype': 'generic'
});

var w = zeros( [ 6 ], {
'dtype': 'float32'
});

var out = scopyWithin( [ x, target, start, end, w ] );
// returns <ndarray>[ 1.0, 2.0, 3.0, 2.0, 3.0, 4.0 ]
```

The function has the following parameters:

- **arrays**: array-like object containing the following ndarrays:

- a one-dimensional input ndarray.
- a zero-dimensional ndarray specifying a target index.
- a zero-dimensional ndarray specifying a source start index (inclusive).
- a zero-dimensional ndarray specifying a source end index (exclusive).
- a one-dimensional workspace ndarray.

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- The input ndarray is copied **in-place** (i.e., the input ndarray is **mutated**).
- If the `start` and `target` index ranges do not overlap, the `workspace` ndarray is unused and thus ignored.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random/discrete-uniform' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var zeros = require( '@stdlib/ndarray/zeros' );
var scopyWithin = require( '@stdlib/blas/ext/base/ndarray/scopy-within' );

var x = discreteUniform( [ 10 ], -100, 100, {
'dtype': 'float32'
});
console.log( ndarray2array( x ) );

var target = scalar2ndarray( 5, {
'dtype': 'generic'
});
var start = scalar2ndarray( 0, {
'dtype': 'generic'
});
var end = scalar2ndarray( 3, {
'dtype': 'generic'
});

var w = zeros( [ 10 ], {
'dtype': 'float32'
});

scopyWithin( [ x, target, start, end, w ] );
console.log( ndarray2array( 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">

</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/uniform' );
var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
var pow = require( '@stdlib/math/base/special/pow' );
var zeros = require( '@stdlib/ndarray/zeros' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var scopyWithin = require( './../lib' );


// VARIABLES //

var options = {
'dtype': 'float32'
};


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var target;
var start;
var opts;
var end;
var x;
var w;

opts = {
'dtype': 'generic'
};
x = uniform( [ len ], 0.0, 100.0, options );
w = zeros( [ len ], options );
target = scalar2ndarray( 0, opts );
start = scalar2ndarray( 0, opts );
end = scalar2ndarray( len, opts );

return benchmark;

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

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = scopyWithin( [ x, target, start, end, w ] );
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( isnanf( x.get( i%len ) ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
}
}


// MAIN //

/**
* Main execution sequence.
*
* @private
*/
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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{{alias}}( arrays )
Performs an in-place copy of elements within a one-dimensional single-
precision floating-point ndarray.

The input ndarray is copied *in-place* (i.e., the input ndarray is
*mutated*).

If the `start` and `target` index ranges do not overlap, the `workspace`
ndarray is unused and thus ignored.

Parameters
----------
arrays: ArrayLikeObject<ndarray>
Array-like object containing the following ndarrays:

- a one-dimensional input ndarray.
- a zero-dimensional ndarray specifying a target index.
- a zero-dimensional ndarray specifying a source start index
(inclusive).
- a zero-dimensional ndarray specifying a source end index
(exclusive).
- a one-dimensional workspace ndarray.

Returns
-------
out: ndarray
Input ndarray.

Examples
--------
> var x = new {{alias:@stdlib/ndarray/vector/float32}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
> var t = {{alias:@stdlib/ndarray/from-scalar}}( 3, { 'dtype': 'generic' } );
> var s = {{alias:@stdlib/ndarray/from-scalar}}( 1, { 'dtype': 'generic' } );
> var e = {{alias:@stdlib/ndarray/from-scalar}}( 4, { 'dtype': 'generic' } );
> var w = {{alias:@stdlib/ndarray/zeros}}( [ 6 ], { 'dtype': 'float32' } );
> {{alias}}( [ x, t, s, e, w ] )
<ndarray>[ 1.0, 2.0, 3.0, 2.0, 3.0, 4.0 ]

See Also
--------
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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.
*/

// TypeScript Version: 4.1

/// <reference types="@stdlib/types"/>

import { typedndarray, float32ndarray } from '@stdlib/types/ndarray';

/**
* Performs an in-place copy of elements within a one-dimensional single-precision floating-point ndarray.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a one-dimensional input ndarray.
* - a zero-dimensional ndarray specifying a target index.
* - a zero-dimensional ndarray specifying a source start index (inclusive).
* - a zero-dimensional ndarray specifying a source end index (exclusive).
* - a one-dimensional workspace ndarray.
*
* @param arrays - array-like object containing ndarrays
* @returns input ndarray
*
* @example
* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var zeros = require( '@stdlib/ndarray/zeros' );
*
* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var target = scalar2ndarray( 3, {
* 'dtype': 'generic'
* });
* var start = scalar2ndarray( 1, {
* 'dtype': 'generic'
* });
* var end = scalar2ndarray( 4, {
* 'dtype': 'generic'
* });
*
* var w = zeros( [ 6 ], {
* 'dtype': 'float32'
* });
*
* var out = scopyWithin( [ x, target, start, end, w ] );
* // returns <ndarray>[ 1.0, 2.0, 3.0, 2.0, 3.0, 4.0 ]
*/
declare function scopyWithin( arrays: [ float32ndarray, typedndarray<number>, typedndarray<number>, typedndarray<number>, float32ndarray ] ): float32ndarray;


// EXPORTS //

export = scopyWithin;
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