npm package: @stdlib/array-base-assert-is-same-kind-data-type-cast
Description: Determine if an array data type can be safely cast to, or is of the same kind as, another array data type.
Author: The Stdlib Authors
Latest version: 0.3.3

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# isSameKindCast

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

> Determine whether an array [data type][@stdlib/array/dtypes] can be safely cast to, or is of the same "kind" as, another array [data type][@stdlib/array/dtypes].

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<section class="installation">

## Installation

```bash
npm install @stdlib/array-base-assert-is-same-kind-data-type-cast
```

</section>

<section class="usage">

## Usage

```javascript
var isSameKindCast = require( '@stdlib/array-base-assert-is-same-kind-data-type-cast' );
```

#### isSameKindCast( from, to )

Returns a `boolean` indicating whether an array [data type][@stdlib/array/dtypes] can be safely cast to, or is of the same "kind" as, another array [data type][@stdlib/array/dtypes] (e.g., casting between signed integers or between floats).

```javascript
var bool = isSameKindCast( 'float32', 'float64' );
// returns true

bool = isSameKindCast( 'uint16', 'int16' );
// returns false
```

</section>

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<section class="examples">

## Examples

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

```javascript
var cartesianSquare = require( '@stdlib/array-cartesian-square' );
var dtypes = require( '@stdlib/array-dtypes' );
var isSameKindCast = require( '@stdlib/array-base-assert-is-same-kind-data-type-cast' );

// Generate a list of dtype pairs:
var dt = cartesianSquare( dtypes() );

// For each data type pair, determine whether one can cast from one data type to another...
var i;
for ( i = 0; i < dt.length; i++ ) {
    console.log( '%s. Allowed cast? %s.', dt[i].join( ' => ' ), isSameKindCast.apply( null, dt[i] ) );
}
```

</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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