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280 changes: 280 additions & 0 deletions lib/node_modules/@stdlib/ndarray/any/README.md
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<!--

@license Apache-2.0

Copyright (c) 2025 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

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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.

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# any

> Test whether at least one element along one or more [`ndarray`][@stdlib/ndarray/ctor] dimensions is truthy.

<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var any = require( '@stdlib/ndarray/any' );
```

#### any( x\[, options] )

Tests whether at least one element along one or more [`ndarray`][@stdlib/ndarray/ctor] dimensions is truthy.

```javascript
var array = require( '@stdlib/ndarray/array' );

// Create an input ndarray:
var x = array( [ [ [ -1.0, 0.0 ] ], [ [ -3.0, -4.0 ] ], [ [ 5.0, -6.0 ] ] ] );
// returns <ndarray>

// Perform reduction:
var out = any( x );
// returns <ndarray>

var v = out.get();
// returns true
```

The function accepts the following arguments:

- **x**: input [`ndarray`][@stdlib/ndarray/ctor].
- **options**: function options (_optional_).

The function accepts the following `options`:

- **dims**: list of dimensions over which to perform a reduction.
- **keepdims**: boolean indicating whether the reduced dimensions should be included in the returned [`ndarray`][@stdlib/ndarray/ctor] as singleton dimensions. Default: `false`.

By default, the function performs a reduction over all elements in a provided [`ndarray`][@stdlib/ndarray/ctor]. To reduce specific dimensions, set the `dims` option.

```javascript
var array = require( '@stdlib/ndarray/array' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );

// Create an input ndarray:
var x = array( [ [ [ -1.0, 0.0 ] ], [ [ -3.0, 0.0 ] ], [ [ 5.0, 0.0 ] ] ] );
// returns <ndarray>

// Perform reduction:
var out = any( x, {
'dims': [ 1, 2 ]
});
// returns <ndarray>

var v = ndarray2array( out );
// returns [ true, true, true ]
```

By default, the function returns an [`ndarray`][@stdlib/ndarray/ctor] having a shape matching only the non-reduced dimensions of the input [`ndarray`][@stdlib/ndarray/ctor] (i.e., the reduced dimensions are dropped). To include the reduced dimensions as singleton dimensions in the output [`ndarray`][@stdlib/ndarray/ctor], set the `keepdims` option to `true`.

```javascript
var array = require( '@stdlib/ndarray/array' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );

// Create an input ndarray:
var x = array( [ [ [ -1.0, 0.0 ] ], [ [ -3.0, 0.0 ] ], [ [ 5.0, 0.0 ] ] ] );
// returns <ndarray>

// Perform reduction:
var out = any( x, {
'dims': [ 1, 2 ],
'keepdims': true
});
// returns <ndarray>

var v = ndarray2array( out );
// returns [ [ [ true ] ], [ [ true ] ], [ [ true ] ] ]
```

#### any.assign( x, out\[, options] )

Tests whether at least one element along one or more [`ndarray`][@stdlib/ndarray/ctor] dimensions is truthy and assigns results to a provided output [`ndarray`][@stdlib/ndarray/ctor].

```javascript
var array = require( '@stdlib/ndarray/array' );
var empty = require( '@stdlib/ndarray/empty' );

// Create an input ndarray:
var x = array( [ [ [ -1.0, 0.0 ] ], [ [ -3.0, 0.0 ] ], [ [ 5.0, 0.0 ] ] ] );
// returns <ndarray>

// Create an output ndarray:
var y = empty( [], {
'dtype': 'bool'
});

// Perform reduction:
var out = any.assign( x, y );
// returns <ndarray>

var bool = ( out === y );
// returns true

var v = y.get();
// returns true
```

The function accepts the following arguments:

- **x**: input [`ndarray`][@stdlib/ndarray/ctor].
- **out**: output [`ndarray`][@stdlib/ndarray/ctor]. The output [`ndarray`][@stdlib/ndarray/ctor] must have a shape matching the non-reduced dimensions of the input [`ndarray`][@stdlib/ndarray/ctor].
- **options**: function options (_optional_).

The function accepts the following `options`:

- **dims**: list of dimensions over which to perform a reduction.

By default, the function performs a reduction over all elements in a provided [`ndarray`][@stdlib/ndarray/ctor]. To reduce specific dimensions, set the `dims` option.

```javascript
var array = require( '@stdlib/ndarray/array' );
var empty = require( '@stdlib/ndarray/empty' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );

// Create an input ndarray:
var x = array( [ [ [ -1.0, 0.0 ] ], [ [ -3.0, 0.0 ] ], [ [ 5.0, 0.0 ] ] ] );
// returns <ndarray>

// Create an output ndarray:
var y = empty( [ 3 ], {
'dtype': 'bool'
});

// Perform reduction:
var out = any.assign( x, y, {
'dims': [ 1, 2 ]
});

var bool = ( out === y );
// returns true

var v = ndarray2array( y );
// returns [ true, true, true ]
```

</section>

<!-- /.usage -->

<section class="notes">

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var fillBy = require( '@stdlib/ndarray/fill-by' );
var zeros = require( '@stdlib/ndarray/zeros' );
var any = require( '@stdlib/ndarray/any' );

var x = zeros( [ 2, 4, 5 ], {
'dtype': 'float64'
});
x = fillBy( x, bernoulli( 0.10 ) );
console.log( ndarray2array( x ) );

var y = any( x );
console.log( 'any(x[:,:,:]) =' );
console.log( y.get() );

y = any( x, {
'dims': [ 0 ],
'keepdims': true
});
console.log( 'any(x[:,j,k]) =' );
console.log( ndarray2array( y ) );

y = any( x, {
'dims': [ 1 ],
'keepdims': true
});
console.log( 'any(x[i,:,k]) =' );
console.log( ndarray2array( y ) );

y = any( x, {
'dims': [ 2 ],
'keepdims': true
});
console.log( 'any(x[i,j,:]) =' );
console.log( ndarray2array( y ) );

y = any( x, {
'dims': [ 0, 1 ],
'keepdims': true
});
console.log( 'any(x[:,:,k]) =' );
console.log( ndarray2array( y ) );

y = any( x, {
'dims': [ 0, 2 ],
'keepdims': true
});
console.log( 'any(x[:,j,:]) =' );
console.log( ndarray2array( y ) );

y = any( x, {
'dims': [ 1, 2 ],
'keepdims': true
});
console.log( 'any(x[i,:,:]) =' );
console.log( ndarray2array( y ) );

y = any( x, {
'dims': [ 0, 1, 2 ],
'keepdims': true
});
console.log( 'any(x[:,:,:]) =' );
console.log( ndarray2array( y ) );
```

</section>

<!-- /.examples -->

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

<section class="related">

</section>

<!-- /.related -->

<section class="links">

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

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

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

</section>

<!-- /.links -->
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