npm package: @stdlib/ndarray-every
Description: Test whether every element along one or more ndarray dimensions is truthy.
Author: The Stdlib Authors
Latest version: 0.1.1

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<details>
  <summary>
    About stdlib...
  </summary>
  <p>We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.</p>
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</details>

# every

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

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

<section class="intro">

</section>

<!-- /.intro -->

<section class="installation">

## Installation

```bash
npm install @stdlib/ndarray-every
```

</section>

<section class="usage">

## Usage

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

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

Tests whether every 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, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
// returns <ndarray>

// Perform reduction:
var out = every( 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, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
// returns <ndarray>

// Perform reduction:
var out = every( 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, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
// returns <ndarray>

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

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

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

Tests whether every 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, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
// returns <ndarray>

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

// Perform reduction:
var out = every.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, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
// returns <ndarray>

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

// Perform reduction:
var out = every.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 every = require( '@stdlib/ndarray-every' );

var x = zeros( [ 2, 4, 5 ], {
    'dtype': 'float64'
});
x = fillBy( x, bernoulli( 0.90 ) );
console.log( ndarray2array( x ) );

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

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

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

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

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

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

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

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

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<section class="main-repo" >

* * *

## Notice

This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

</section>

<!-- /.stdlib -->

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[umd]: https://github.com/umdjs/umd
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[deno-url]: https://github.com/stdlib-js/ndarray-every/tree/deno
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[umd-url]: https://github.com/stdlib-js/ndarray-every/tree/umd
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[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/ndarray-every/main/LICENSE

[@stdlib/ndarray/ctor]: https://www.npmjs.com/package/@stdlib/ndarray-ctor

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