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https://github.com/stdlib-js/array-ones-like

Create an array filled with ones and having the same length and data type as a provided array.
https://github.com/stdlib-js/array-ones-like

array data float32array float64array int16array int32array javascript matrix ndarray node node-js nodejs stdlib structure typed typed-array types uint32array vector

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Create an array filled with ones and having the same length and data type as a provided array.

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README

        


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# onesLike

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

> Create an array filled with ones and having the same length and data type as a provided array.

## Installation

```bash
npm install @stdlib/array-ones-like
```

Alternatively,

- To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]).
- If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).
- For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]).

The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

## Usage

```javascript
var onesLike = require( '@stdlib/array-ones-like' );
```

#### onesLike( x\[, dtype] )

Creates an array filled with ones and having the same length and data type as a provided array `x`.

```javascript
var x = [ 1, 2, 3, 4, 5 ];

var arr = onesLike( x );
// returns [ 1, 1, 1, 1, 1 ]
```

The function supports the following data types:

- `float64`: double-precision floating-point numbers (IEEE 754)
- `float32`: single-precision floating-point numbers (IEEE 754)
- `complex128`: double-precision complex floating-point numbers
- `complex64`: single-precision complex floating-point numbers
- `int32`: 32-bit two's complement signed integers
- `uint32`: 32-bit unsigned integers
- `int16`: 16-bit two's complement signed integers
- `uint16`: 16-bit unsigned integers
- `int8`: 8-bit two's complement signed integers
- `uint8`: 8-bit unsigned integers
- `uint8c`: 8-bit unsigned integers clamped to `0-255`
- `generic`: generic JavaScript values

By default, the output array data type is inferred from the provided array `x`. To return an array having a different data type, provide a `dtype` argument.

```javascript
var x = [ 0, 0 ];

var arr = onesLike( x, 'int32' );
// returns [ 1, 1 ]
```

## Notes

- If the output array has a complex number data type, each element of the returned array has a real component equal to `1` and an imaginary component equal to `0`.

## Examples

```javascript
var dtypes = require( '@stdlib/array-dtypes' );
var zeros = require( '@stdlib/array-zeros' );
var onesLike = require( '@stdlib/array-ones-like' );

// Create a zero-filled array:
var x = zeros( 4, 'complex128' );

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

// Generate filled arrays...
var y;
var i;
for ( i = 0; i < dt.length; i++ ) {
y = onesLike( x, dt[ i ] );
console.log( y );
}
```

* * *

## See Also

- [`@stdlib/array-full-like`][@stdlib/array/full-like]: create a filled array having the same length and data type as a provided array.
- [`@stdlib/array-nans-like`][@stdlib/array/nans-like]: create an array filled with NaNs and having the same length and data type as a provided array.
- [`@stdlib/array-ones`][@stdlib/array/ones]: create an array filled with ones and having a specified length.
- [`@stdlib/array-zeros-like`][@stdlib/array/zeros-like]: create a zero-filled array having the same length and data type as a provided array.

* * *

## 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 © 2016-2024. The Stdlib [Authors][stdlib-authors].

[npm-image]: http://img.shields.io/npm/v/@stdlib/array-ones-like.svg
[npm-url]: https://npmjs.org/package/@stdlib/array-ones-like

[test-image]: https://github.com/stdlib-js/array-ones-like/actions/workflows/test.yml/badge.svg?branch=main
[test-url]: https://github.com/stdlib-js/array-ones-like/actions/workflows/test.yml?query=branch:main

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/array-ones-like/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/array-ones-like?branch=main

[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg
[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im

[stdlib]: https://github.com/stdlib-js/stdlib

[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors

[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules

[deno-url]: https://github.com/stdlib-js/array-ones-like/tree/deno
[deno-readme]: https://github.com/stdlib-js/array-ones-like/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/array-ones-like/tree/umd
[umd-readme]: https://github.com/stdlib-js/array-ones-like/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/array-ones-like/tree/esm
[esm-readme]: https://github.com/stdlib-js/array-ones-like/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/array-ones-like/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/array-ones-like/main/LICENSE

[@stdlib/array/full-like]: https://github.com/stdlib-js/array-full-like

[@stdlib/array/nans-like]: https://github.com/stdlib-js/array-nans-like

[@stdlib/array/ones]: https://github.com/stdlib-js/array-ones

[@stdlib/array/zeros-like]: https://github.com/stdlib-js/array-zeros-like