npm package: @stdlib/ndarray-base-assert-is-floating-point-data-type
Description: Test if an input value is a supported ndarray floating-point data type.
Author: The Stdlib Authors
Latest version: 0.3.1

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# isFloatingPointDataType

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> Test if an input value is a supported ndarray floating-point data type.

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</section>

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<section class="installation">

## Installation

```bash
npm install @stdlib/ndarray-base-assert-is-floating-point-data-type
```

</section>

<section class="usage">

## Usage

```javascript
var isFloatingPointDataType = require( '@stdlib/ndarray-base-assert-is-floating-point-data-type' );
```

#### isFloatingPointDataType( value )

Tests if an input value is a supported ndarray floating-point data type.

```javascript
var bool = isFloatingPointDataType( 'float32' );
// returns true

bool = isFloatingPointDataType( 'uint32' );
// returns false
```

</section>

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<section class="notes">

</section>

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<section class="examples">

## Examples

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

```javascript
var isFloatingPointDataType = require( '@stdlib/ndarray-base-assert-is-floating-point-data-type' );

var bool = isFloatingPointDataType( 'binary' );
// returns false

bool = isFloatingPointDataType( 'float32' );
// returns true

bool = isFloatingPointDataType( 'float64' );
// returns true

bool = isFloatingPointDataType( 'generic' );
// returns false

bool = isFloatingPointDataType( 'int16' );
// returns false

bool = isFloatingPointDataType( 'int32' );
// returns false

bool = isFloatingPointDataType( 'int8' );
// returns false

bool = isFloatingPointDataType( 'uint16' );
// returns false

bool = isFloatingPointDataType( 'uint32' );
// returns false

bool = isFloatingPointDataType( 'uint8' );
// returns false

bool = isFloatingPointDataType( 'uint8c' );
// returns false

bool = isFloatingPointDataType( '' );
// returns false

bool = isFloatingPointDataType( 'foo' );
// returns false
```

</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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