Metadata-Version: 2.4
Name: grug-lang
Version: 1.0.1
Summary: Make your mods immortal.
Author-email: MyNameIsTrez <welfje@gmail.com>
License-Expression: MIT
Project-URL: Repository, https://github.com/grug-lang/grug
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# grug for Python

This repository provides Python bindings, a frontend, and a backend for [grug](https://github.com/grug-lang/grug).

Install this package using `pip install grug-lang`, and run `python -c "import grug"` to check it.

You can run the example program by cloning this repository, `cd`-ing into it, running `cd example`, and finally running `python example.py`.

## Dependencies

This project requires Python version 3.7 or newer. You can manage your Python versions using [pyenv](https://github.com/pyenv/pyenv).

If you want to run the tests, you'll need to install pytest:

```sh
pip install pytest
pip install -e .
```

If you are on a Python version older than 3.11, you will additionally need to install these:

```sh
pip install tomli importlib-metadata
```

## Running the tests

You will need to clone the [grug-tests](https://github.com/grug-lang/grug-tests) repository *next* to this repository, and then run `git checkout development` in it, followed by `./tests.sh`.

In this grug-for-python repository, you can then run all tests using this command:

```sh
pytest --grug-tests-path=../grug-tests -s
```

You can additionally pass `--whitelisted-test=f32_too_big` if you only want to run the test called `f32_too_big`.

Alternatively, you can *walk* through the tests and set breakpoints by installing the [Python Debugger](https://marketplace.visualstudio.com/items?itemName=ms-python.debugpy) VS Code extension. Hit `F5` to run all tests. You can edit `.vscode/launch.json` if you want to pass `--whitelisted-test=f32_too_big`.

## Type checking

Run `pyright` in the terminal to type check the Python code. Pyright can be installed using `sudo npm install -g pyright`.

## Updating the pypi package

```sh
python3 -m pip install --upgrade pip
python3 -m pip install --upgrade build
python -m build
python -m pip install --upgrade twine
python -m twine upload dist/*
```
