npm package: @stdlib/random-streams-cauchy-cli
Description: Create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.
Author: The Stdlib Authors
Latest version: 0.2.2

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# Cauchy Random Numbers

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

> Create a [readable stream][readable-stream] for generating pseudorandom numbers drawn from a [Cauchy][cauchy] distribution.









<!-- Section for describing a command-line interface. -->



<section class="cli">



<section class="installation">

## Installation

To use as a general utility, install the CLI package globally

```bash
npm install -g @stdlib/random-streams-cauchy-cli
```

</section>
<!-- CLI usage documentation. -->


<section class="usage">

## Usage

```text
Usage: random-cauchy [options] <x0> <gamma>

Options:

  -h,  --help               Print this message.
  -V,  --version            Print the package version.
       --sep sep            Separator used to join streamed data. Default: '\n'.
  -n,  --iter iterations    Number of pseudorandom numbers.
       --seed seed          Pseudorandom number generator seed.
       --state filepath     Path to a file containing the pseudorandom number
                            generator state.
       --snapshot filepath  Output file path for saving the pseudorandom number
                            generator state upon exit.
```

</section>

<!-- /.usage -->

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

<section class="notes">

## Notes

-   In accordance with POSIX convention, a trailing newline is **always** appended to generated output prior to exit.
-   Specifying a "snapshot" file path is useful when wanting to resume pseudorandom number generation due to, e.g., a downstream failure in an analysis pipeline. Before exiting, the process will store the pseudorandom number generator state in a file specified according to a provided file path. Upon loading a snapshot (state), the process will generate pseudorandom numbers starting from the loaded state, thus avoiding having to seed and replay an entire analysis.

</section>

<!-- /.notes -->

<!-- CLI usage examples. -->

<section class="examples">

## Examples

```bash
$ random-cauchy 0.0 1.0 -n 10 --seed 1234
```

</section>

<!-- /.examples -->

</section>

<!-- /.cli -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

## See Also

-   <span class="package-name">[`@stdlib/random-streams-cauchy`][@stdlib/random-streams-cauchy]</span><span class="delimiter">: </span><span class="description">create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.</span>
-   <span class="package-name">[`@stdlib/random-base/cauchy`][@stdlib/random/base/cauchy]</span><span class="delimiter">: </span><span class="description">Cauchy distributed pseudorandom numbers.</span>
-   <span class="package-name">[`@stdlib/random-iter/cauchy`][@stdlib/random/iter/cauchy]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Cauchy distribution.</span>

</section>

<!-- /.related -->

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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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[npm-url]: https://npmjs.org/package/@stdlib/random-streams-cauchy-cli

[test-image]: https://github.com/stdlib-js/random-streams-cauchy/actions/workflows/test.yml/badge.svg?branch=v0.2.2
[test-url]: https://github.com/stdlib-js/random-streams-cauchy/actions/workflows/test.yml?query=branch:v0.2.2

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/random-streams-cauchy/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/random-streams-cauchy?branch=main

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

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[cli-section]: https://github.com/stdlib-js/random-streams-cauchy#cli
[cli-url]: https://github.com/stdlib-js/random-streams-cauchy/tree/cli
[@stdlib/random-streams-cauchy]: https://www.npmjs.com/package/@stdlib/random-streams-cauchy

[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/random-streams-cauchy/tree/deno
[deno-readme]: https://github.com/stdlib-js/random-streams-cauchy/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/random-streams-cauchy/tree/umd
[umd-readme]: https://github.com/stdlib-js/random-streams-cauchy/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/random-streams-cauchy/tree/esm
[esm-readme]: https://github.com/stdlib-js/random-streams-cauchy/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/random-streams-cauchy/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/random-streams-cauchy/main/LICENSE

[stream]: https://nodejs.org/api/stream.html

[object-mode]: https://nodejs.org/api/stream.html#stream_object_mode

[readable-stream]: https://nodejs.org/api/stream.html

[cauchy]: https://en.wikipedia.org/wiki/Cauchy_distribution

[@stdlib/array/uint32]: https://www.npmjs.com/package/@stdlib/array-uint32

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[@stdlib/random/base/cauchy]: https://www.npmjs.com/package/@stdlib/random-base-cauchy

[@stdlib/random/iter/cauchy]: https://www.npmjs.com/package/@stdlib/random-iter-cauchy

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</section>

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