semvec/pypi-packages huggingface dataset:
pipg 0.3.1
Wrapper para pip que automatiza a instalação, remoção e gerenciamento de dependências em arquivos de requirements.
Requires Python: >=3.6

# pipg - Wrapper para Pip

`pipg` é um wrapper para `pip` que facilita a instalação e remoção de pacotes Python, mantendo automaticamente arquivos de dependências organizados.

## 🚀 Funcionalidades
- Instala um ou mais pacotes com `pipg install <pacote1> <pacote2> ... [--group <prod|dev|test>]`.
- Remove um ou mais pacotes com `pipg uninstall <pacote1> <pacote2> ...`.
- Atualiza automaticamente o arquivo de dependências correto (`requirements.txt`, `requirements-dev.txt`, `requirements-test.txt`).
- Remove pacotes desinstalados de **todos** os arquivos de requirements.
- Mensagens coloridas para melhor visualização dos status.

## 📚 Instalação
Para instalar o `pipg`:

```sh
pip install pipg
```

Ou, para instalar localmente:

```sh
pip install .
```

## 🛠 Uso

### ✅ Instalar um ou mais pacotes
```sh
pipg install fastapi uvicorn requests --group dev
```
Isso instalará os pacotes `fastapi`, `uvicorn` e `requests` e os registrará em `requirements-dev.txt`. Se `--group` não for especificado, os pacotes serão registrados em `requirements.txt`.

### ❌ Desinstalar um ou mais pacotes
```sh
pipg uninstall fastapi uvicorn requests
```
Isso removerá `fastapi`, `uvicorn` e `requests` do ambiente e também de **todos os arquivos** de requirements (`requirements.txt`, `requirements-dev.txt`, `requirements-test.txt`).

## 🏢 Estrutura do Projeto
```
pipg/
│── pipg/
│   │── __init__.py
│   │── cli.py
│   │── package_manager.py
│   │── requirements_manager.py
│   │── utils.py
│── setup.py
│── README.md
│── pyproject.toml
```

## 🤝 Contribuição
1. Faça um fork do repositório.
2. Crie uma branch para sua feature (`git checkout -b minha-feature`).
3. Faça commit das suas alterações (`git commit -m 'Adiciona nova feature'`).
4. Faça push para a branch (`git push origin minha-feature`).
5. Abra um Pull Request.
youtube-music-control 0.1.0
Remote control client for th-ch/youtube-music
Requires Python: >=3.6

# youtube-music-control

Remote control client for
[th-ch/youtube-music](https://github.com/th-ch/youtube-music).

## Installation

```bash
pip install youtube-music-control
```

## Usage

Basic commands:
- List available endpoints: `youtube-music-control --list`
- Call an endpoint: `youtube-music-control <endpoint> [data]`

## Development

To install for development:

```bash
git clone https://github.com/Ape/youtube-music-control
cd youtube-music-control
pip install -e .
```
painkill 0.0.1
Use Python for front end web development by generating html,css and javascript code
Requires Python: >=3

# py4html
<b>painkill (pronounced pain kill)</b> is a simple Python library that makes it possible to develop websites entirely using python by writing HTML CSS and Javascript code in python or in other words you write your webpage
appearance in Python and the library generates the equivalent HTML CSS Javascript code for you.

Write everything in Python. No need to type a single word of HTML,CSS or Javascript. Use Python to create web pages. Do web development only using Python. This is an ongoing project and will be updated frequently
ansible-master-node-setup-v.01 0.1
A Python package to automate Ansible Master installation and configuration.

# ansible-controller

A Python package to automate Ansible Master installation and setup.

## Installation
```sh
pip install git+https://github.com/mohammdnoorain/Devops/blob/main/Ansible-controller-updated.txt


Ansible Controller Master Node Configuration and Installation

The Ansible Controller package is designed to simplify the setup and configuration of an Ansible master node, enabling you to efficiently manage and automate configurations on target machines. This package automates key tasks required to configure and manage your target nodes seamlessly.
Installation and Setup Instructions:

Follow the steps below to install and configure the Ansible controller package on your system:
Step 1: Switch to Root User

To ensure proper installation permissions, begin by switching to the root user:

sudo -i

Step 2: Update Package Manager

Next, update your package manager to ensure all dependencies are up-to-date:

sudo apt update

Step 3: Install python3-pip

To manage Python packages, install pip, the Python package installer:

sudo apt install python3-pip

Step 4: Install the Ansible Controller Package

Once pip is installed, use it to install the ansible-controller package:

pip install ansible-controller

Step 5: Run the Package

After installation, run the package by simply executing the following command:

ansible_controller

Step 6: Provide New User Details

You'll be prompted to enter the name of the new user that will be created on your machine. This user will be used to manage and interact with the target machine(s).
Step 7: Define Inventory Group

Next, provide a name for the inventory group. This group will help categorize and manage your target machines. You can choose any group name you prefer.
Step 8: Specify Target Machine Name

You will then be asked to provide the name of the target machine you want to configure. This can be any name you'd like.
Step 9: Enter Private IP of the Target Machine

Provide the private IP address of the target machine to establish a connection between the controller and the node.
Step 10: Provide Target Machine Username

Enter the username of the target machine. This is the username that the controller will use to authenticate and configure the target machine.
Step 11: Save the Public Key

Finally, the package will provide a public key that you need to save. This key will be used when running the Ansible target machine setup package to allow secure communication between your master node and the target nodes.
Conclusion:

The Ansible Controller package streamlines the configuration process for managing your infrastructure with Ansible. By following the steps outlined above, you will have a fully configured Ansible master node ready to automate tasks across your network of target machines. Use this package to enhance productivity and simplify Ansible node management for your IT infrastructure.
smartcall 0.1.0
Call a function, and pass it only the arguments it expects.
Requires Python: ~=3.10

SmartCall
=========

[![Last release](https://img.shields.io/pypi/v/smartcall.svg)](https://pypi.python.org/pypi/smartcall)
[![Python version](https://img.shields.io/pypi/pyversions/smartcall.svg)](https://pypi.python.org/pypi/smartcall)
[![Documentation](https://img.shields.io/readthedocs/smartcall.svg)](https://smartcall.readthedocs.io/en/latest/)
[![Test status](https://img.shields.io/github/actions/workflow/status/kalekundert/smartcall/test.yml?branch=master)](https://github.com/kalekundert/smartcall/actions)
[![Test coverage](https://img.shields.io/codecov/c/github/kalekundert/smartcall)](https://app.codecov.io/github/kalekundert/smartcall)
[![Last commit](https://img.shields.io/github/last-commit/kalekundert/smartcall?logo=github)](https://github.com/kalekundert/smartcall)

This library provides a way to call functions that won't necessarily accept all 
of the arguments that you could pass to them.  This situation often occurs when 
writing libraries that accept callback functions.  The library might have lots 
of information that it *could* pass to callbacks, but not every callback will 
want every piece of information.

The following snippet shows how the library works.  As an example, we'll invoke 
a callback with one required positional argument and two optional keyword 
arguments.  Note that the callback only accepts the first keyword argument:

```python
>>> from smartcall import call, PosOnly, KwOnly
>>> def my_callback(a, b):
...     return a, b
...
>>> call(
...     my_callback,
...
...     # This argument is required, so if the callback can't accept it, an
...     # error will be raised.
...     PosOnly(1, required=True), KwOnly('b', 2))
...
...     # These arguments are not required, so they will only be passed to the
...     # callback if it has a compatible signature.
...     KwOnly(b=2),
...     KwOnly(c=3),
... )
(1, 2)
```

Refer to the [online 
documentation](https://smartcall.readthedocs.io/en/latest/) for more 
information.
hexometry 1.1.1
**Hexometry**
Requires Python: >=3.11

# Hexometry
Python library to work with hexagon grid geometry.

## Overview
Hexometry is a Python library to work with hexagon grid geometry.
Some ideas of having x, y, z coordinates for hexagon grid are taken from [this article](https://catlikecoding.com/unity/tutorials/hex-map/part-1/) by Jasper Flick.

Particulary this image gives a good idea of a choosen coordinates for hexagon grid:

![hex grid coordinates example](https://catlikecoding.com/unity/tutorials/hex-map/part-1/hexagonal-coordinates/cube-diagram.png)

## Dependencies
This library has no dependencies apart from python stdlib, but it requires Python 3.11 or higher.
There is no problem to make it work with Python 3.7 — 3.11, but the original intention was to try fancy features of modern Python.

## Installation
```bash
pip install hexometry
```

## Usage
```python
from hexometry import Coord, Direction, Route

c1 = Coord(0, 0)
c2 = Coord(2, 3)
print(f"Coordinates {c1} and {c2} on a field are {c1-c2} hexes away each other")

route = c1 >> c2
print(f"and the route between them are: {route}. Let's traverse it:")

coord = c1
for direction in route:
    coord += direction
    print(f"moving {direction.value} to {coord}")

assert coord == c2
print("here we are")
```