semvec/pypi-packages huggingface dataset:
subprocess4 0.1.1
Python subprocess wrapper using os.wait4 to get resource usage
Requires Python: >=3.6

# subprocess4

Python subprocess wrapper using `os.wait4()` to get resource usage. Requires Python 3.8+ and POSIX.

```python
import subprocess4

result = subprocess4.run(['ls', '-l'], capture_output=True)
print(result.rusage.ru_utime)  # User CPU time

returncode, rusage = subprocess4.call4(['python', '--version'])
proc = subprocess4.Popen(['cmd'])
returncode, rusage = proc.wait4()
```
hexdoc-mediatransport 1.1.1.1.20.1.2.0
hex casting - fsb integration (the dev version of 1.20.1 figura)
Requires Python: >=3.11
Keywords: hexdoc

# hexdoc-mediatransport

Python web book docgen and [hexdoc](https://pypi.org/project/hexdoc) plugin for mediatransport.

hex casting - fsb integration (the dev version of 1.20.1 figura)

## Version scheme

We use [hatch-gradle-version](https://pypi.org/project/hatch-gradle-version) to generate the version number based on whichever mod version the docgen was built with.

The version is in this format: `mod-version.python-version.mod-pre.python-dev.python-post`

For example:
* Mod version: `0.11.1-7`
* Python package version: `1.0.dev0`
* Full version: `0.11.1.1.0rc7.dev0`

## Setup

Install Python 3.11.

```sh
python3.11 -m venv venv

.\venv\Scripts\activate   # Windows
. venv/bin/activate.fish  # fish
source venv/bin/activate  # everything else

# run from the repo root, not doc/
pip install -e .[dev]
```

## Usage

For local testing, create a file called `.env` in the repo root following this template:

```sh
GITHUB_REPOSITORY=penguinencounter/mediatransport
GITHUB_SHA=main
GITHUB_PAGES_URL=https://github.com/penguinencounter/mediatransport
```

Useful commands:

```sh
# show help
hexdoc -h

# render and serve the web book in watch mode
nodemon --config doc/nodemon.json

# render and serve the web book
hexdoc serve

# build and merge the web book
hexdoc build
hexdoc merge

# start the Python interpreter with some extra local variables
hexdoc repl
```
fermihalos 0.1.2
An extended RAR model for dark matter halo astrophysics.
Requires Python: >=3.10
Keywords: astrophysics, dark matter, halo, RAR

# FermiHalos
Repository containing the codes needed to solve the extended RAR model's equations modeling fermionic dark matter halos.

Visit the webpage here: [FermiHalos](https://santiq22.github.io/FermiHalos).
speechmatics-sdk 0.1.1
Speechmatics Python SDK - Complete package for all Speechmatics APIs
Requires Python: >=3.9
Keywords: speechmatics, speech-to-text, tts, voice, agents, batch, real-time, transcription, api, sdk

# Speechmatics SDK

The complete Speechmatics Python SDK package that includes all Speechmatics API clients:

- **speechmatics-batch**: Batch API client for transcription jobs
- **speechmatics-rt**: Real-time API client for live transcription
- **speechmatics-voice**: Voice Agent API client with real-time conversational AI
- **speechmatics-tts**: Text-to-Speech API client

## Installation

Install the complete SDK:

```bash
pip install speechmatics-sdk
```

For Voice SDK with Smart Turn features (includes ONNX ML runtime and models):

```bash
pip install speechmatics-sdk[smart]
```

## Usage

This is a meta-package that installs all Speechmatics API clients. See the individual package documentation for usage:

- [Batch API Documentation](https://docs.speechmatics.com/)
- [Real-time API Documentation](https://docs.speechmatics.com/)
- [Voice API Documentation](https://docs.speechmatics.com/)
- [TTS API Documentation](https://docs.speechmatics.com/)

## Links

- [GitHub Repository](https://github.com/speechmatics/speechmatics-python-sdk)
- [Documentation](https://docs.speechmatics.com/)
- [Issue Tracker](https://github.com/speechmatics/speechmatics-python-sdk/issues)