semvec/pypi-packages huggingface dataset:
rubika-lib 1.1.1
This is an unofficial library for deploying robots on Rubika accounts

how to import module/library

--> from rubika_lib.lib import Bot

How to activate the robot?

from rubika_lib.lib import Bot


auth = Bot("your auth")

guid = "your group guid"

bot.sendMessage(guid, "hello")

For more training and to see the document, visit @rubika_library in Telegram
flixcrack 2022.4.16.1
Netflix API Metadata & Downloader for Windows and Linux
Requires Python: >=3.9.8


<h1 align="center">
  <br>
  <a href="https://github.com/stefanodvx/flixcrack"><img src="https://github.com/stefanodvx/flixcrack/blob/main/logo.png?raw=true" alt="FlixCrack" height=100> 
</a>
  <p>Status: Working ✅</p>
</h1>

<h4 align="center">Python Netflix API Metadata & Downloader for Windows and Linux</h4>

<p align="center">
  <a href="#features">Features</a> •
  <a href="#dependencies">Dependencies</a> •
  <a href="#how-to-use">How To Use</a> •
  <a href="#community">Community</a>
</p>

<h1 align="center">
  <a href="https://github.com/stefanodvx/flixcrack"><img src="https://github.com/stefanodvx/flixcrack/blob/main/screen.png?raw=true" alt="FlixCrack"></a>
</h1>

## Features
### ❗ KEEP IN MIND THAT THIS LIBRARY IS STILL IN BETA

* Get Metadata (title, year, episodes, seasons...) with Shakti API
* Get medias (videos, audios, audio descriptions, subtitles...)
* Decrypt Widevine DRM protected content
* Automatically mux all your tracks
* Nice pre-made format for file names
* Very fast multi-connection downloads

## Dependencies

* <a href="https://ffmpeg.org/">FFmpeg</a>
* <a href="https://github.com/aria2/aria2">aria2</a>
* <a href="https://github.com/shaka-project/shaka-packager">Shaka Packager</a>
* <a href="https://mkvtoolnix.download/">MKVToolNix</a>

## How To Use

First of all, install the library with:
`pip install flixcrack` (by PyPi) or get always latest by
`pip install git+https://github.com/stefanodvx/flixcrack@main` (you need Git installed for this)

Extract your cookies.txt from Netflix using your browser (you can use <a href="https://chrome.google.com/webstore/detail/get-cookiestxt/bgaddhkoddajcdgocldbbfleckgcbcid">Get cookies.txt</a>) and put it in your working folder. Then create a folder named "devices" and put your CDM in. Here's an example code, I'm downloading first episode of a series in 1080p with HIGH profile and AAC audio (English).

You can extract a private L3 CDM very easily from an Android phone using <a href="https://github.com/wvdumper/dumper">this tool</a>.

Working folder example:
```bash
│   cookies.txt
│   main.py
│
└───devices
    └───<device name>
            device_client_id_blob
            device_private_key
```

main.py:
```python3
from flixcrack import NetflixClient
import asyncio

client = NetflixClient(
    email="", # Insert your email here
    password="", # Insert your password here
    device="", # Insert your CDM folder name here
    quality=1080,
    audio_language=["English"],
    language="it-IT", # Metadata language
    video_profile="high",
    quiet=False
)

async def main():
    for viewable in client.get_viewables(81470938, episode=1):
        await viewable.download()
asyncio.run(main())
```

## Community

* <a href="https://t.me/+jwaFzZu6B-w1ZmQ8">Telegram Group</a>

## Disclaimer

* This library is for informational purposes only
* Your Netflix account could get banned
* Your CDM could get downgraded
image-processing2 0.0.2
My short description
Requires Python: >=3.8

# package_name

Description. 
The package package_name is used to:
	Processing:
		- Histogram matching 
		- Structural similarity
		- Resize image
	Utils:
		- Read image
		- Save image
		- Plot image
		- Plot result
		- Plot histogram

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install image_processing2
```

## Usage

```python
from image_processing2.module_name import file_name
file_name.my_function()
```

## Author
Davi h.

## License
[MIT](https://choosealicense.com/licenses/mit/)
slack-async-alert 1.0.3
Send slack message if program finished.

# slack async alert
this program sends alarm when passed command finished, and tell you that program successfully finished or not.

this program can be used, when running program that takes long time work.


## usage
```
slrt {some command}
```


## example
```
slrt python run.py --some random_args --that can_be_passed
slrt echo "hello world"
```


## installation

1. pip install slack_async_alert

2. run slrt-configure command.
    - it will ask slack-api-key, user_id, server identifier
    - slack-api-key: bot api key, that can made from slack custom app.
    - user_id: slack user id
    - server identifier: identifier that you can recognise where your program is finished.

3. finished, if slrt command not works, restart shell.


## Uninstallation

1. pip uninstall slack_async_alert

2. rm -r ~/.slack_async_alert/

3. delete 'export PATH="$PATH:$HOME/.slack_async_alert/bin"' term from your shell config file.


## How to build package.
```
python setup.py bdist_wheel
twine upload dist/{generated dist file path}
```