semvec/pypi-packages huggingface dataset:
ConnectFour 0.0.3
A Fun Experiment of ConnectFour!
License: MIT
Requires Python: >=3.8

.. -*- mode: rst -*-

|BuildTest|_ |PyPi|_ |License|_ |Downloads|_ |PythonVersion|_

.. |BuildTest| image:: https://travis-ci.com/tank-overlord/ConnectFour.svg?branch=main
.. _BuildTest: https://app.travis-ci.com/github/tank-overlord/ConnectFour

.. |PythonVersion| image:: https://img.shields.io/badge/python-3.8%20%7C%203.9-blue
.. _PythonVersion: https://img.shields.io/badge/python-3.8%20%7C%203.9-blue

.. |PyPi| image:: https://img.shields.io/pypi/v/ConnectFour
.. _PyPi: https://pypi.python.org/pypi/ConnectFour

.. |Downloads| image:: https://pepy.tech/badge/ConnectFour
.. _Downloads: https://pepy.tech/project/ConnectFour

.. |License| image:: https://img.shields.io/pypi/l/ConnectFour
.. _License: https://pypi.python.org/pypi/ConnectFour


================================
A Fun Experiment of ConnectFour!
================================

Install
-------

.. code-block::

   pip install ConnectFour


Run
---

>>> from ConnectFour import game
>>> g = game()
>>> g.trials(max_depth=5)


Sample Screenshot
-----------------
|image1|


.. |image1| image:: https://github.com/tank-overlord/ConnectFour/raw/main/ConnectFour/examples/example-win.gif



Have fun!!!
-----------
Sithon 0.0.4
Sithon is a testing library for Python!
License: MIT
Requires Python: >=3.10

# Sithon
A small library used for test cases in Python, heavily inspired on V's test!

*This project was made for learning purposes, and is not meant to be used in real projects, but you can still use it, it
s just not 100% working well.*

# Features
Only supports ``assert x == y`` so far.

Asynchronous test cases supported.

Line count can be a bit off.

# Usage
```py
# All test files needs to be start with `test_`
import math

# All test functions needs to start with `test_`
def test_sum_function():
    assert math.factorial(4) == 5
    assert math.factorial(3) == 6
```

Go to the project directory
```
$ python3.10 -m sithon
./test_math.py:sum_function:6 | FAIL assert math.factorial(4) == 5
        Left value: 24
        Right value: 5

./test_math.py:sum_function:7 | PASSED assert math.factorial(3) == 6    
        Left value: 6
        Right value: 6
```

# Rules
You can't have any other functions that test functions inside of a `test_` file.

You can't use import aliases 

# Install
``pip install sithon``
content-filter 2.2.0
A basic but robust content filter for python.
License: MIT
Requires Python: >=3.6

# Python Content Filter

[![Build Status](https://travis-ci.com/MrDogeBro/content_filter.svg?token=K4YBJnRBuxqyhssWYMJt&branch=master)](https://travis-ci.com/github/MrDogeBro/content_filter) [![Documentation Status](https://readthedocs.org/projects/content-filter/badge/?version=latest)](https://content-filter.readthedocs.io/en/latest/?badge=latest) [![PyPi version](https://img.shields.io/pypi/v/content-filter.svg)](https://pypi.python.org/pypi/content-filter/) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/content-filter.svg)](https://pypi.python.org/pypi/content-filter/) [![](https://img.shields.io/github/license/MrDogeBro/content_filter.svg)](https://github.com/MrDogeBro/content_filter/blob/master/LICENSE)

Content Filter is a basic but robust content filter for python. Content Filter allows you to easily detect language in a message and offers great customizability.

## Features

- Ability to have different levels of filtration.
- Can ignore repeated characters and infer certain characters aliases.
- Converts non-english characters to their english equivalents such as ç to c.
- Ignores non-printing characters.
- Easily and very customizable.
- Easy to get up and running.
- No third-party dependencies.

## Installation

**Python 3.6 or higher is required**

To install Content Filter, enter the following command in any sort of terminal window or command prompt.

```bash
# Linux/OSX
python3 -m pip install content-filter

# Windows
py -3 -m pip install content-filter
```

## Links

- [Documentation](https://content-filter.readthedocs.io/en/latest/)

## Contributing

If you are interested in contributing to Content Filter, please check out our [contribution guide](https://github.com/MrDogeBro/content_filter/blob/master/CONTRIBUTING.md) before you get started. Thanks for your interest!

## License

The Content Filter module for Python is licensed under an [MIT license](https://github.com/MrDogeBro/content_filter/blob/master/LICENSE).