semvec/pypi-packages huggingface dataset:
betterpyhap 0.1.0
A Python implementation of the HomeKit Accessory Protocol (HAP)

BetterPyHAP
===========

BetterPyHAP is a Python package that provides 
an updated and improved version of the `pyhap` package,
which is used for HomeKit Accessory Protocol (HAP) implementations in Python.

Features
--------

- Easy-to-use Pythonic API for implementing HomeKit accessories and pairing them with iOS devices.
- Compatible with Python 3.6 and above.
- Supports advanced features such as bridging multiple accessories and dynamic service creation.
- Includes improvements and bug fixes over the original `pyhap` package.

Installation
------------

You can install BetterPyHAP via pip:
pip install betterpyhap

-----------

License
BetterPyHAP is licensed under the apache License. See the LICENSE file 
in the source distribution for more information.
linuxmedia-sridhar 0.1.3
Linuxmedia is a wrapper for 60 above 60+ Linux Commands

## Linuxmedia is a wrapper for 60 above 60+ Linux Commands

#### Prerequisites


On Ubuntu/Debian:

```
sudo apt install update
sudo apt install upgrade
```



#### Usage

To get all available info about Linuxmedia Command and Its usage :
```
linuxmedia <command> [Options..]

```
clrxdisasm-wrapper 0.0.1
clrxdisasm wrapper for code object V4 support
Requires Python: >=3.7

# clrxdisasm wrapper for code object V4 support

[![PyPI - Version](https://img.shields.io/pypi/v/clrxdisasm-wrapper.svg)](https://pypi.org/project/clrxdisasm-wrapper)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/clrxdisasm-wrapper.svg)](https://pypi.org/project/clrxdisasm-wrapper)

-----

**Table of Contents**

- [Installation](#installation)
- [License](#license)

## Installation

```console
pip install clrxdisasm-wrapper
```

## License

`clrxdisasm-wrapper` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
audio-splitter 0.1.0
A CLI tool for splitting audio files into equally-sized chunks or based on periods of silence
Requires Python: >=3.6

# Audio File Splitter

`audio_splitter/main.py` is a command-line tool for splitting audio files into equally-sized chunks or based on silence. This Python script uses the `pydub` library for handling various audio formats.

## Why does this exist?

As someone who enjoys to listen to spoken word every night, I often listen to podcasts on my old MP3 player before going to sleep. However, I found myself growing bored of listening to the same first 5 minutes of each episode every night. To mix things up and always have something new to listen to, I created this script to break down podcast episodes into smaller chunks. Now I can jump around different parts of the episodes and enjoy a fresh listening experience each time.

## Usage

To use the script, follow these steps:

```bash
python audio_splitter/main.py input_file output_dir [--chunk_length CHUNK_LENGTH] [--output_format OUTPUT_FORMAT] [--silence_based]
```

Replace input_file with the path to your audio file and output_dir with the path to the output directory where you want to save the chunks.

## Options
```bash
--chunk_length CHUNK_LENGTH: Length of each chunk in milliseconds (default: 300000 ms, or 5 minutes). Ignored if --silence_based is set.
--output_format OUTPUT_FORMAT: Output format for the audio chunks (default: wav). Supported formats include wav, mp3, and ogg.
--silence_based: Split the audio based on silence instead of fixed-size chunks. If set, --chunk_length is ignored and the script ensures that the generated chunks are at least the specified length.
```

## Examples

Split an audio file into 5-minute (default) chunks:
```bash
python audio_splitter/main.py input_file.mp3 output_dir
```

Split an audio file into 10-minute chunks and save them in the MP3 format:
```bash
python audio_splitter/main.py input_file.mp3 output_dir --chunk_length 600000 --output_format mp3
```

Split an audio file based on silence, ensuring that the chunks are at least 5 minutes long:
```bash
python audio_splitter/main.py input_file.mp3 output_dir --silence_based
```

Split an audio file based on silence, ensuring that the chunks are at least 10 minutes long:
```bash
python audio_splitter/main.py input_file.mp3 output_dir --chunk_length 600000 --silence_based
```
libcobblersignatures 0.0.1
This library manages the operating system distribution signatures to enable cobbler to detect it correctly.
Requires Python: >=3
Keywords: cobbler

# libcobblersignatures

[![Gitter](https://badges.gitter.im/cobbler/libcobblersignatures.svg)](https://gitter.im/cobbler/libcobblersignatures?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
[![Build Status](https://github.com/cobbler/libcobblersignatures/workflows/Testing%20libcobblersignatures/badge.svg)](https://github.com/cobbler/libcobblersignatures)
[![Documentation Status](https://readthedocs.org/projects/libcobblersignatures/badge/?version=latest)](https://libcobblersignatures.readthedocs.io/en/latest/?badge=latest)
[![codecov](https://codecov.io/gh/cobbler/libcobblersignatures/branch/master/graph/badge.svg)](https://codecov.io/gh/cobbler/libcobblersignatures)
[![Codacy Badge](https://app.codacy.com/project/badge/Grade/022b08877130419a9273d6a3618e0c38)](https://www.codacy.com/gh/cobbler/libcobblersignatures/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=cobbler/libcobblersignatures&amp;utm_campaign=Badge_Grade)

This library should be the interface for all applications using cobbler signatures.

[![asciicast](https://asciinema.org/a/363956.svg)](https://asciinema.org/a/363956)

## Features

* Create a cobbler signatures document from scratch
* Modify existing cobbler signature documents
* Read cobbler signatures document
* Hand over structured data to other applications

## Signatures-JSON Specification

Can be found in our Docs: <https://libcobblersignatures.readthedocs.io>
python-cngal 0.2.2
A Python wrapper for cngal.org API
Requires Python: >=3.8,<4.0

# python-cngal
A Python wrapper for cngal.org API

## 数据来源

1. [数据汇总页面](https://app.cngal.org/data)
2. [Swagger UI](https://api.cngal.org/swagger/index.html)
3. [GitHub 文档](https://github.com/CnGal/CnGalWebSite/blob/master/Docs/AboutCode/APIInstructions/Summary.md)