npm package: @stdlib/ndarray-base-broadcast-scalar-like
Description: Broadcast a scalar value to an ndarray having the same shape and data type as a provided input ndarray.
Author: The Stdlib Authors
Latest version: 0.1.1

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# broadcastScalarLike

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

> Broadcast a scalar value to an [ndarray][@stdlib/ndarray/base/ctor] having the same shape and [data type][@stdlib/ndarray/dtypes] as a provided input [ndarray][@stdlib/ndarray/base/ctor].

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- Package usage documentation. -->

<section class="installation">

## Installation

```bash
npm install @stdlib/ndarray-base-broadcast-scalar-like
```

</section>

<section class="usage">

## Usage

```javascript
var broadcastScalarLike = require( '@stdlib/ndarray-base-broadcast-scalar-like' );
```

#### broadcastScalarLike( x, value )

Broadcasts a scalar value to an [ndarray][@stdlib/ndarray/base/ctor] having the same shape and [data type][@stdlib/ndarray/dtypes] as a provided input [ndarray][@stdlib/ndarray/base/ctor].

```javascript
var zeros = require( '@stdlib/ndarray-base-zeros' );
var getDType = require( '@stdlib/ndarray-dtype' );

var x = zeros( 'float32', [ 2, 2 ], 'row-major' );
// returns <ndarray>[ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ]

var y = broadcastScalarLike( x, 1.0 );
// returns <ndarray>[ [ 1.0, 1.0 ], [ 1.0, 1.0 ] ]

var dt = String( getDType( y ) );
// returns 'float32'
```

</section>

<!-- /.usage -->

<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

## Notes

-   Along with data type, shape, and order, the function infers the "class" of the returned [ndarray][@stdlib/ndarray/base/ctor] from the provided [ndarray][@stdlib/ndarray/base/ctor]. For example, if provided a "base" [ndarray][@stdlib/ndarray/base/ctor], the function returns a base [ndarray][@stdlib/ndarray/base/ctor]. If provided a non-base [ndarray][@stdlib/ndarray/ctor], the function returns a non-base [ndarray][@stdlib/ndarray/ctor].
-   If `value` is a number and the [data type][@stdlib/ndarray/dtypes] of the input ndarray is a complex [data type][@stdlib/ndarray/dtypes], the function returns an [ndarray][@stdlib/ndarray/base/ctor] containing a complex number whose real component equals the provided scalar `value` and whose imaginary component is zero.
-   The returned [ndarray][@stdlib/ndarray/base/ctor] is a view on an [ndarray][@stdlib/ndarray/base/ctor] data buffer containing a single element. The view is **not** contiguous. As more than one element of a returned view may refer to the same memory location, writing to the view may affect multiple elements. If you need to write to the returned [ndarray][@stdlib/ndarray/base/ctor], copy the [ndarray][@stdlib/ndarray/base/ctor] **before** performing operations which may mutate elements.

</section>

<!-- /.notes -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

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

```javascript
var dtypes = require( '@stdlib/ndarray-dtypes' );
var empty = require( '@stdlib/ndarray-base-empty' );
var broadcastScalarLike = require( '@stdlib/ndarray-base-broadcast-scalar-like' );

// Get a list of data types:
var dt = dtypes( 'integer_and_generic' );

// Generate broadcasted arrays...
var x;
var y;
var i;
for ( i = 0; i < dt.length; i++ ) {
    x = empty( dt[ i ], [ 2, 2 ], 'row-major' );
    y = broadcastScalarLike( x, i );
    console.log( y.get( 0, 0 ) );
}
```

</section>

<!-- /.examples -->

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</section>

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* * *

## 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

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## License

See [LICENSE][stdlib-license].


## Copyright

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

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