semvec/pypi-packages huggingface dataset:
kubekind 0.0.1
Library to generate Kubernetes manifests using Python code
License: MIT
Requires Python: >=3.9

# kubekind

Library to generate Kubernetes manifests using Python code

[![PyPi](https://img.shields.io/pypi/v/kubekind.svg?style=flat-square)](https://pypi.python.org/pypi/kubekind)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/ambv/black)

# Motivation

Write manifests using Python code to improve readability and getting the benefits of IDEs IntelliSense features.


<div align="center">
  <img valign="middle" src="https://github.com/joaompinto/kubekind/raw/main/imgs/kubekind.png" />
</div>


# Requirements

- Python 3.9+ on Linux, Windows or Mac

# Install
```sh
pip insall kubekind
```
# Generated a pod manifest
```python
# test.py
from kubekind import Pod, Container

with Pod("my-pod") as pod:
    Container("bash", "bash:latest", args=["sleep", "10000"]).add()
    Container("bash_2", "bash:latest", args=["sleep", "10000"]).add()

pod.print()
```
Apply the manifest
```sh
python test.py | kubectl apply -f -
```
pyvad 0.2.0
'py-webrtcvad wrapper for trimming speech clips'
License: MIT
Requires Python: >=3.8,<4.0

# [py-webrtcvad](https://github.com/wiseman/py-webrtcvad) wrapper for trimming speech clips
[![Build](https://github.com/F-Tag/python-vad/actions/workflows/test.yaml/badge.svg)](https://github.com/F-Tag/python-vad/actions/workflows/test.yaml)
[![PyPI version](https://badge.fury.io/py/pyvad.svg)](https://badge.fury.io/py/pyvad)
[![Python Versions](https://img.shields.io/pypi/pyversions/pyvad.svg)](https://pypi.org/project/pyvad/)

## Requirement
[numpy](https://github.com/numpy/numpy), 
[librosa](https://github.com/librosa/librosa) and 
[py-webrtcvad](https://github.com/wiseman/py-webrtcvad).

## Installation
via pip
```sh
$ pip install pyvad
```

or

from github repository
```sh
$ pip install git+https://github.com/F-Tag/python-vad.git
```

## Usage
```python
from pyvad import vad
vact = vad(speech_data, speech_data_fs)
```


## Example
Please see `example.ipynb` jupyter notebook.

## License
MIT License (see `LICENSE` file).

## Announcement
The version 0.1.0 update break backward compatibility.

The changes are as follows:
1. The `hoplength` argument has been changed to `hop_length`.
2. The `trim` returns (start_index, end_index) (`return_sec` argument is abolished).
3. Slightly changed the method of preprocessing a waveform in `vad`.
4. End of support for python 2.x.

You can see the new API in the `example.ipynb`.

The previous version is 0.0.8.
```sh
$ pip install pyvad==0.0.8
```