pynguin 0.45.0
Pynguin is a tool for automated unit test generation for Python
License: MIT
Requires Python: <3.15,>=3.10
Keywords: unit test, random testing, search based, test generation

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# Pynguin

Pynguin (IPA: ˈpɪŋɡuiːn),
the
PYthoN
General
UnIt
test
geNerator,
is a tool that allows developers to generate unit tests automatically.

Testing software is often considered to be a tedious task.
Thus, automated generation techniques have been proposed and mature tools exist—for
statically typed languages, such as Java.
There is, however, no fully-automated tool available that produces unit tests for
general-purpose programs in a dynamically typed language.
Pynguin is, to the best of our knowledge, the first tool that fills this gap
and allows the automated generation of unit tests for Python programs.

<details>
<summary>Internal Pipeline Status</summary>

[![pipeline status](https://gitlab.infosun.fim.uni-passau.de/se2/pynguin/pynguin/badges/main/pipeline.svg)](https://gitlab.infosun.fim.uni-passau.de/se2/pynguin/pynguin/-/commits/main)
[![coverage report](https://gitlab.infosun.fim.uni-passau.de/se2/pynguin/pynguin/badges/main/coverage.svg)](https://gitlab.infosun.fim.uni-passau.de/se2/pynguin/pynguin/-/commits/main)

</details>

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![Pynguin Logo](https://raw.githubusercontent.com/se2p/pynguin/master/docs/source/_static/pynguin-logo.png "Pynguin Logo")

## Attention

*Please Note:*

**Pynguin executes the module under test!**
As a consequence, depending on what code is in that module,
running Pynguin can cause serious harm to your computer,
for example, wipe your entire hard disk!
We recommend running Pynguin in an isolated environment;
use, for example, a Docker container to minimize the risk of damaging
your system.

**Pynguin is only a research prototype!**
It is not tailored towards production use whatsoever.
However, we would love to see Pynguin in a production-ready stage at some point;
please report your experiences in using Pynguin to us.


## Prerequisites

Before you begin, ensure you have met the following requirements:
- You have installed Python 3.10 (the support for 3.11, 3.12, 3.13 and 3.14 is experimental).

  **Attention:** Pynguin now requires at least Python 3.10!  Older versions are no longer
  supported!
- You have a recent Linux/macOS/Windows machine.

Please consider reading the [online documentation](https://pynguin.readthedocs.io)
to start your Pynguin adventure.

## Installing Pynguin

Pynguin can be easily installed using the `pip` tool by typing:
```bash
pip install pynguin
```

Make sure that your version of `pip` is that of a supported Python version, as any
older version is not supported by Pynguin!

## Using Pynguin

Before you continue, please read the [quick start guide](https://pynguin.readthedocs.io/latest/user/quickstart.html)

Pynguin is a command-line application.
Once you installed it to a virtual environment, you can invoke the tool by typing
`pynguin` inside this virtual environment.
Pynguin will then print a list of its command-line parameters.

A minimal full command line to invoke Pynguin could be the following,
where we assume that a project `foo` is located in `/tmp/foo`,
we want to store Pynguin's generated tests in `/tmp/testgen`,
and we want to generate tests using a whole-suite approach for the module `foo.bar`
(wrapped for better readability):
```bash
pynguin \
  --project-path /tmp/foo \
  --output-path /tmp/testgen \
  --module-name foo.bar
```
Please find a more detailed example in the [quick start guide](https://pynguin.readthedocs.io/latest/user/quickstart.html).


## Contributing to Pynguin

For the development of Pynguin you will need the [`poetry`](https://python-poetry.org)
dependency management and packaging tool.
To start developing, follow these steps:
1. Clone the repository
2. Change to the `pynguin` folder: `cd pynguin`
3. Create a virtual environment and install dependencies using `poetry`: `poetry install`
4. Make your changes
5. Run `make check` to verify that your changes pass all checks

   Please see the [`poetry` documentation](https://python-poetry.org/docs/) for more information on this tool.

## Contributors

Pynguin is developed at the
[Chair of Software Engineering II](https://www.fim.uni-passau.de/lehrstuhl-fuer-software-engineering-ii/)
of the [University of Passau](https://www.uni-passau.de).

Maintainers: [Stephan Lukasczyk](https://github.com/stephanlukasczyk), [Lukas Krodinger](https://github.com/LuKrO2011)

Contributors:
- [Lukas Vögl](https://github.com/lvoegl)
- [Louis Leppelmann](https://github.com/Tudeldu)
- [Alexander Wüst](https://github.com/Ravaqor)
- [Altin Hajdari](https://github.com/AltinHajdari)
- [Abdelillah Aissani](https://github.com/Abassion)
- [Juan Altmayer Pizzorno](https://github.com/jaltmayerpizzorno)
- [Lucas Berg](https://github.com/BergLucas)
- [Tucker Blue](https://github.com/tuckcodes)
- [Gordon Fraser](https://github.com/gofraser)
- [Abdur-Rahmaan Janhangeer](https://github.com/Abdur-rahmaanJ)
- [Maximilian Königseder](https://github.com/mak1ng)
- [Florian Kroiß](https://github.com/Wooza)
- [Simon Labrenz](https://github.com/labrenz)
- [Roman Levin](https://github.com/romanlevin)
- [Juan Julián Merelo Guervós](https://github.com/JJ)
- [Lukas Steffens](https://github.com/Luki42)
- [Florian Straubinger](https://github.com/f-str)
- [Sara Tavares](https://github.com/stavares843)


### Development using PyCharm.

If you want to use the PyCharm IDE you have to set up a few things:
1. Import `pynguin` into PyCharm.
2. Let PyCharm configure configure a virtual environment using `poetry`.
3. Set the default test runner to `pytest`
4. Set the DocString format to `Google`


## License

This project is licensed under the terms of the [MIT License](LICENSE.rst).
Pynguin was using the GNU Lesser General Public License (LGPL) until version 0.29.0,
its licence was changed with version 0.30.0.

## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=se2p/pynguin&type=Date)](https://star-history.com/#se2p/pynguin)