Metadata-Version: 2.4
Name: array-api-jit
Version: 1.0.0
Summary: JIT decorator supporting multiple array API compatible libraries
Author-email: 34j <34j.95a2p@simplelogin.com>
License: MIT
Project-URL: Bug Tracker, https://github.com/34j/array-api-jit/issues
Project-URL: Changelog, https://github.com/34j/array-api-jit/blob/main/CHANGELOG.md
Project-URL: documentation, https://array-api-jit.readthedocs.io
Project-URL: repository, https://github.com/34j/array-api-jit
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: array-api-compat>=1.11.2
Dynamic: license-file

# array API JIT

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</p>

---

**Documentation**: <a href="https://array-api-jit.readthedocs.io" target="_blank">https://array-api-jit.readthedocs.io </a>

**Source Code**: <a href="https://github.com/34j/array-api-jit" target="_blank">https://github.com/34j/array-api-jit </a>

---

JIT decorator supporting multiple array API compatible libraries

## Installation

Install this via pip (or your favourite package manager):

```shell
pip install array-api-jit
```

## Usage

Simply decorate your function with `@jit()`:

```python
from array_api_jit import jit


@jit()
def my_function(x: Any) -> Any:
    xp = array_namespace(x)
    return xp.sin(x) + xp.cos(x)
```

## Advanced Usage

You can specify the decorator, arguments, and keyword arguments for each library.

```python
from array_api_jit import jit
from array_api_compat import array_namespace
from typing import Any
import numba


@jit(
    {"numpy": numba.jit()},  # numba.jit is not used by default because it may not succeed
    decorator_kwargs={
        "jax": {"static_argnames": ["n"]}
    },  # jax requires for-loop variable to be "static_argnames"
    # fail_on_error: bool = False, # do not raise an error if the decorator fails (Default)
    # rerun_on_error: bool = True, # re-run the original function if the wrapped function fails (NOT Default)
)
def sin_n_times(x: Any, n: int) -> Any:
    xp = array_namespace(x)
    for i in range(n):
        x = xp.sin(x)
    return x
```

## Contributors ✨

Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):

<!-- prettier-ignore-start -->
<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
<!-- markdownlint-disable -->
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This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!

## Credits

[![Copier](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/copier-org/copier/master/img/badge/badge-grayscale-inverted-border-orange.json)](https://github.com/copier-org/copier)

This package was created with
[Copier](https://copier.readthedocs.io/) and the
[browniebroke/pypackage-template](https://github.com/browniebroke/pypackage-template)
project template.
