semvec/pypi-packages huggingface dataset:
music_bg 0.3.0
Dynamic wallpapers with power of mpris2.
Requires Python: ~=3.11
Keywords: Dbus, Image Processing, Mpris2, Music, Music Background

![python version](https://img.shields.io/pypi/pyversions/music_bg?style=flat-square) ![Build status](https://img.shields.io/github/workflow/status/music-bg/music_bg/Release%20package?style=flat-square) [![version](https://img.shields.io/pypi/v/music_bg?style=flat-square)](https://pypi.org/project/music_bg/)


<div align="center">
<img src="https://raw.githubusercontent.com/music-bg/music_bg/master/images/logo.png" width=700>
</div>

<p align="center">
    <a href="https://github.com/music-bg/music_bg/wiki">Wiki</a> •
    <a href="#about">About</a> •
    <a href="#installation">Installation</a>
</p>

<div align="center">
<h1 id="about">About</h1>
</div>

This project is a dynamic wallpaper changer.
It waits untill you turn on the music,
downloads album cover if it's possible and
sets it as your wallpapper.

And the main thing, this project is highly customizable.
You can install plugins and write your own configurations.

<div align="center">
<h1 id="installation">Installation</h1>
</div>

⚠️ This project requires DBUS to be installed. Currently only linux is supported. ⚠️

To install this project simply run:
```bash
pip install music_bg
```

That's it. Now you can read our [wiki](https://github.com/music-bg/music_bg/wiki)
to set up your own music background.
ckdl 1.0
KDL parser and writer with a C back-end
Keywords: kdl parser configuration


# ckdl - KDL reading and writing using a C backend

**ckdl** is a C library that implements reading and writing a the
[KDL Document Language](https://kdl.dev/).

This package lets Python programs read and write KDL (both version 2.0.0 and
version 1.0.0) files, using *ckdl* as a back-end.

Install with

    pip install ckdl

## Examples

### Reading

```pycon
>>> import ckdl
>>> kdl_txt = """
... best-primes 2 3 5 7
... colours importance=(%)1000 { green; blue shade=синий; blue shade=голубой; violet }
... """
>>> doc = ckdl.parse(kdl_txt)
>>> doc
<Document; 2 nodes>
>>> doc[0]
<Node best-primes; 4 args>
>>> doc[0].args
[2, 3, 5, 7]
>>> doc[1].properties
{'importance': <Value (%)1000>}
>>> doc[1].properties['importance'].value
1000
>>> doc[1].properties['importance'].type_annotation
'%'
>>> doc[1].children
[<Node green>, <Node blue; 1 property>, <Node blue; 1 property>, <Node violet>]
>>> doc[1].children[1].properties['shade']
'синий'
```

### Writing

```pycon
>>> mydoc = ckdl.Document(ckdl.Node("best-primes", 7, 11, 13), ckdl.Node("worst-values", ckdl.Value("scary", None)))
>>> print(str(mydoc))
best-primes 7 11 13
worst-values (scary)#null

```
reverse-nida 0.1.0
A package for reverse engineering with NIDA
Requires Python: >=3.6

# Reverse NIDA

A Python package that attempts to reverse engineer how NIDA (National Identification Authority) numbers are generated and extract basic information from National Identification Numbers (NIN) without using the official NIDA API.

## ⚠️ Disclaimer

This project is for educational and research purposes only. It attempts to understand the structure and patterns in NIDA numbers through reverse engineering. The accuracy of extracted information is not guaranteed, and this should not be used for official verification purposes.


## 🚀 Installation

### From PyPI
```bash
pip install reverse-nida
```

## 📖 Usage

### Simple Usage (Recommended)
```python
from reverse_nida import get_basic_info

# Analyze a NIDA number (supports both dashed and compact formats)
nin_dashed = "xxxxxxxx-xxxxx-xxxxx-xx"
nin_compact = "xxxxxxxxxxxxxxxxxxxx"

# Get basic information
info = get_basic_info(nin_dashed, debug=False)
print(info)
# Output: {
#   'BIRTHDATE': '',
#   'GENDER': '',
#   'REGIONCODE':'',
#   'REGION': '',
#   'DISTRICT': '',
#   'WARDCODE':'',
#   'WARD': '',
#   'WARDCODE': '',
#   'STREET': '',
#   'PLACES':'',
# }

# Get full information with debug
info = service.get_basic_info("xxxxxxxx-xxxxx-xxxxx-xx", debug=True)
```

### Setup Development Environment
```bash
git clone https://github.com/Henryle-hd/reverse-nida.git
cd reverse-nida
```
fitfix 0.1.0
Fixes small issues of FIT files generated by Tymewear
Requires Python: >=3.10

# Fitfixer

## 

## Introduction

Currently, FIT files recorded by Tymewear experience two little issues:

1. Power is recorded in a custom field "tymewear power" wheres the standard field "power" remains unset.
2. Cadence is recorded as half the value.

The Fitfixer tool fixes these issues.

## Install requirements

Fitfixer is distributed as a Python package. Several installation methods are available.

### Using pip

Executing `pip` installs the package in your current Python environment. Global installation was once possible, but
modern Linux distributions no longer permit this approach.

```bash
pip install fitfix
```

### Using pipx or uv

Both `pipx` and `uv` enable global tool installation. The package can be installed as follows:

```bash
pipx install fitfix
```

or

```bash
uv tool install fitfix
```

## How to use

```bash
fitfix <input file> <output file>
```
mini-lemmatizer 0.1.1
A simple, lightweight lemmatization utility built with NLTK.
Requires Python: >=3.7

# mini_lemmatizer

A lightweight lemmatization tool built with NLTK.

### Example
```python
from mini_lemmatizer import MiniLemmatizer
lemm = MiniLemmatizer()
print(lemm.lemmatize_sentence("The cats are chasing mice"))
pyfsviz 0.2.4
Python tools for FreeSurfer visualization and QA
Requires Python: >=3.10

# pyFSViz

[![ci](https://github.com/mcw-meier-lab/pyFSViz/workflows/ci/badge.svg)](https://github.com/mcw-meier-lab/pyFSViz/actions?query=workflow%3Aci)
[![documentation](https://img.shields.io/badge/docs-mkdocs-708FCC.svg?style=flat)](https://mcw-meier-lab.github.io/pyFSViz/)
[![pypi version](https://img.shields.io/pypi/v/pyfsviz.svg)](https://pypi.org/project/pyfsviz/)

Python tools for FreeSurfer visualization and QA

## Installation

```bash
pip install pyfsviz
```

With [`uv`](https://docs.astral.sh/uv/):

```bash
uv tool install pyfsviz
```