semvec/pypi-packages huggingface dataset:
pysetns 0.3.0
Python wrapper for setns Linux syscall.
License: MIT
Requires Python: >=3
Keywords: linux kernel namespace setns

# pysetns
[![pypi](https://img.shields.io/pypi/v/pysetns?logo=python&logoColor=white)](https://pypi.org/project/pysetns/)
[![downloads](https://img.shields.io/pypi/dm/pysetns?logo=python&logoColor=white)](https://pypi.org/project/pysetns/)
[![license](https://img.shields.io/pypi/l/pysetns?logo=open-source-initiative&logoColor=white)](https://github.com/baskiton/pysetns/blob/main/LICENSE)

[![build](https://img.shields.io/github/actions/workflow/status/baskiton/pysetns/build.yml?logo=github)](https://github.com/baskiton/pysetns/actions/workflows/build.yml)
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[![docs](https://img.shields.io/readthedocs/pysetns?logo=readthedocs&logoColor=white)][documentation]

`pysetns` - is a Python wrapper for the Linux `setns` system call. \
See the [manpage][man_setns] for an introduction to `setns` and namespaces.

To detail see the [documentation][documentation]

### IMPORTANT!
`setns` required execution from **ROOT**!

## Requirements
 * Linux 3.0+
 * Python 3

## Installing
### Using PIP
```sh
$ pip install pysetns
```

### From sources
```sh
$ git clone https://github.com/baskiton/pysetns.git
$ cd pysetns
$ python setup.py install
```

## Usage
See [examples][examples]


[man_setns]: https://man7.org/linux/man-pages/man2/setns.2.html
[examples]: https://github.com/baskiton/pysetns/blob/main/examples
[documentation]: https://pysetns.readthedocs.io
youtube-tts-datagen 0.0.2
Extract s and generates TTS datasets from youtube videos
License: MIT
Requires Python: >=3.7.1,<4.0

# Youtube TTS Datagen

[![PyPI](https://img.shields.io/pypi/v/youtube-tts-datagen?style=flat-square)](https://pypi.python.org/pypi/youtube-tts-datagen/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/youtube-tts-datagen?style=flat-square)](https://pypi.python.org/pypi/youtube-tts-datagen/)
[![PyPI - License](https://img.shields.io/pypi/l/youtube-tts-datagen?style=flat-square)](https://pypi.python.org/pypi/youtube-tts-datagen/)
[![Coookiecutter - Wolt](https://img.shields.io/badge/cookiecutter-Wolt-00c2e8?style=flat-square&logo=cookiecutter&logoColor=D4AA00&link=https://github.com/woltapp/wolt-python-package-cookiecutter)](https://github.com/woltapp/wolt-python-package-cookiecutter)


---

**Documentation**: [https://mattflow.github.io/youtube-tts-datagen](https://mattflow.github.io/youtube-tts-datagen)

**Source Code**: [https://github.com/mattflow/youtube-tts-datagen](https://github.com/mattflow/youtube-tts-datagen)

**PyPI**: [https://pypi.org/project/youtube-tts-datagen/](https://pypi.org/project/youtube-tts-datagen/)

---

Extract s and generates TTS datasets from youtube videos

## Installation

```sh
pip install youtube-tts-datagen
```

## Development

* Clone this repository
* Requirements:
  * [Poetry](https://python-poetry.org/)
  * Python 3.7+
* Create a virtual environment and install the dependencies

```sh
poetry install
```

* Activate the virtual environment

```sh
poetry shell
```

### Testing

```sh
pytest
```

### Documentation

The documentation is automatically generated from the content of the [docs directory](./docs) and from the docstrings
 of the public signatures of the source code. The documentation is updated and published as a [Github project page
 ](https://pages.github.com/) automatically as part each release.

### Releasing

Trigger the [Draft release workflow](https://github.com/mattflow/youtube-tts-datagen/actions/workflows/draft_release.yml)
(press _Run workflow_). This will update the changelog & version and create a GitHub release which is in _Draft_ state.

Find the draft release from the
[GitHub releases](https://github.com/mattflow/youtube-tts-datagen/releases) and publish it. When
 a release is published, it'll trigger [release](https://github.com/mattflow/youtube-tts-datagen/blob/master/.github/workflows/release.yml) workflow which creates PyPI
 release and deploys updated documentation.

### Pre-commit

Pre-commit hooks run all the auto-formatters (e.g. `black`, `isort`), linters (e.g. `mypy`, `flake8`), and other quality
 checks to make sure the changeset is in good shape before a commit/push happens.

You can install the hooks with (runs for each commit):

```sh
pre-commit install
```

Or if you want them to run only for each push:

```sh
pre-commit install -t pre-push
```

Or if you want e.g. want to run all checks manually for all files:

```sh
pre-commit run --all-files
```

---

This project was generated using the [wolt-python-package-cookiecutter](https://github.com/woltapp/wolt-python-package-cookiecutter) template.