semvec/pypi-packages huggingface dataset:
gameEZ 0.0.2
please email for any issues. Thanks :/
Requires Python: >=3.8

version: 0.0.2
    --Please note that to gain acsess to the main 'Pygame' modle please use the following:

        -import gameEZ
        -import gameEZ.scr
        -import gameEZ.scr.gameEZ as win
        -[varible] = win.pac.Pygame([WIDTH], [HEIGHT], [COLOR (siting or rgb value)])
________________________________________

This is the First consumer ready version of the pygameMax modle. Please note that their may be bugs and / or issues.


PLease note:

*gameEZ documents are comming soon!*
kattispdf 1.0.7
It enables you to download pdf with problems from https://open.kattis.com
Requires Python: >=3.8

# KattisPDF

KattisPDF is a Python library and tool that allows to convert problem statements from [Kattis](https://open.kattis.com) to pdf.

## Installation

To install KattisPDF just use `pip`:

```
pip install kattispdf
```

It is necessary to install a LaTeX processor such as [TeX Live](https://tug.org/texlive/) or [MiKTeX](https://miktex.org/). As [PyLaTeX](https://github.com/JelteF/PyLaTeX/tree/master) is used and it needs `pdflatex` or `latexmk` (Recommended) to create the pdf.

### Linux
`latexmk` is available in almost every package manager. Search it on your favourite package manager.
### Windows
In order to use`latexmk` in Windows you need to install `perl`.

```
# If you have pearl install you can omit this
winget install "Strawberry Perl" 
```
```
winget install MiKTeX
```
Once you are done reboot your device.
## How to use
KattisPDF includes a CLI tool `kpdf` to download the problems automaticly, but it can also be used in a python script.
### CLI Tool
```
kpdf problem-id -o path/to/output
```
### Python Script
```python
import kattispdf

problem_id = "alchemy101"
kattispdf.generate_pdf(problem_id)
```

To see an example of the outputed pdf look at [example.pdf](https://github.com/NotTete/kattispdf/blob/main/example.pdf).
sync-conflict 0.2.0
Search conflict file generated by syncthing
Requires Python: <4,>=3.7
Keywords: syncthing, cli

Sync Conflict
=============

CLI tool to find and/or resolve conflict file generated by syncthing.

## Command
* `sync_conflict find-conflict [path]` - Display all conflict file path.  
* `sync_conflict resolve [path]` - Auto resolve all conflict file.  
* `sync_conflict walk [path]` - For each conflict file open the file explorer the file location.  
* `sync_conflict delete [path]` - Delete all conflict file present in [path].  

## Install
* `pip install sync_conflict`  
Compatible with pipx:
* `pipx install sync_conflict`
blackbox-decoder 0.3.0
The blackbox is a loggging system used within our autonomous drone system. The decoder is a tool to help decode the logs from their hex format into a human readable format.
Requires Python: <4.0,>=3.10

# BlackBox 

<!-- ! Add a badge for the workflow -->
![workflow](https://github.com/colerottenberg/blackbox_decoder/actions/workflows/tests.yml/badge.svg)

## Table of Contents
- [BlackBox](#blackbox)
  - [Table of Contents](#table-of-contents)
  - [Introduction](#introduction)
  - [Installation](#installation)
    - [Poetry](#poetry)
  - [Usage](#usage)

## Introduction

**BlackBox** is a tool that allows you to decode logs from the the ALED Powerboard. The tool is written in Python and uses the following libraries:
- [Pandas](https://pandas.pydata.org/)
- [PyQt6](https://www.riverbankcomputing.com/software/pyqt/intro)
- [Bitstring](https://pypi.org/project/bitstring/)
- [Matplotlib](https://matplotlib.org/)

The application works by reading the log file and decoding the data into a human readable format. The user can then view the data in multiple plots and graphs.

## Installation

To install the Log Decoder, you need to have Python 3 installed on your computer. Afterwards, clone the repository and install the required dependencies using the following commands:

### Pip

The BlackBox application can be installed using pip. To install the application, run the following command:

```bash
pip install blackbox-decoder
```

To run the application, use the following command:

```bash
blackbox-decoder
```

### Poetry

The BlackBox application uses Poetry to manage its dependencies. To install the dependencies, run the following command:

```bash
git clone https://github.com/colerottenberg/blackbox_decoder.git
cd blackbox_decoder
```

```bash
poetry install
```

To run the application, use the following command:

```bash
poetry run python blackbox_decoder/app.py
```

## Usage

To use the application, the user needs to open the application and select the *Browse* button to select the log file. The user can then select the *Decode* button to decode the log file. A new window will open with the decoded data. Using the Navigation bar at the top, the user can select the data they want to view.

For testing purposes, the user can use the log file provided in the repository. The log file is located in the *logs* folder.
SmartNqData 0.3.3
An internal package to fetch market data from smartnq.com
Requires Python: >=3.6

# SmartNqData

SmartNqData is a Python package to fetch market data from an API.

## Installation

use:
```bash
pip install SmartNqData
```

setup build:
```bash
pip install setuptools wheel twine
```


build:
```bash
python setup.py sdist bdist_wheel
```

publish:
```bash
twine upload dist/*
```
segmented-docstrng 0.4.12
Split and Combine python bare code and docstrings
Requires Python: >=3.7

# 🐍✂️ Segmented Docstring: Split Your Python, Not Your Hairs!

[![PyPI version](https://badge.fury.io/py/segmented-docstring.svg)](https://badge.fury.io/py/segmented-docstring)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python Versions](https://img.shields.io/pypi/pyversions/segmented-docstring.svg)](https://pypi.org/project/segmented-docstring/)

Ever felt like your Python files were getting too chunky? Tired of scrolling through endless docstrings to find that one line of code? Say hello to Segmented Docstring, the tool that lets you have your cake and eat it too!

## 🎭 What's This Sorcery?

Segmented Docstring is a magical Python tool that:

1. 🔪 Slices your Python files into two delicious pieces: bare code and docstrings
2. 🧙‍♂️ Conjures them back together whenever you need
3. 🎩 Does it all with style and panache!

## 🚀 Quick Start

```bash
pip install segmented-docstring
```

Now you're ready to split some Python!

```bash
segmented-docstring split your_chunky_file.py
```

Voila! You now have `your_chunky_file.barecode.py` and `your_chunky_file.docstring.py`.

Missing those docstrings? No problem!

```bash
segmented-docstring combine your_directory
```

And just like that, your files are whole again. It's like magic, but real!

## 🎨 Features

- **Split with Precision**: Separate your code and docstrings faster than a ninja chopping vegetables.
- **Combine with Elegance**: Merge your files back together smoother than a well-aged whiskey.
- **CLI that Speaks Your Language**: Our command-line interface is so friendly, it might ask you out for coffee.
- **Configurable**: Tweak it, tune it, make it sing your favorite song.

## 🛠 Installation

```bash
pip install segmented-docstring
```

Or if you're feeling adventurous:

```bash
git clone https://github.com/robin-collins/segmented_docstring.git
cd segmented_docstring
pip install -e .
```

## 📚 Documentation

For those who love to read (we know you're out there!), check out our [full documentation](https://robin-collins.github.io/segmented_docstring/).

## 🤝 Contributing

Found a bug? Want to add a feature that turns code into haiku? We're all ears! Check out our [contributing guidelines](CONTRIBUTING.md) and join the fun!

## 📜 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. It's so permissive, you could probably use it to open a lemonade stand.

## 🎉 Acknowledgments

- Coffee ☕, for making this project possible
- Python 🐍, for being awesome
- You 👉, for reading this far!

Remember, with great power comes great responsibility. Use Segmented Docstring wisely, and may your code always be clean and your docstrings always informative!