semvec/pypi-packages huggingface dataset:
pyhappy 0.1.0
A boilerplate utility package
License: MIT
Requires Python: <4.0,>=3.11

readme_content = """

# Happy Project

## Overview

`Happy` is a modular and feature-rich package boilerplate code that is
designed to solve a simple yet impactful problems .The project is designed to be highly maintainable,
extensible, and, flexible,
with a focus on clean code principles
and optimization.

`Happy` will have a lot of different extensions in the future.

## Table of Contents


- [Content](#Content)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [License](#license)

## Content
The project includes multiple modules with a clear separation of concerns:

- **Log**: Provide a different logging strategies [e.g. ConsoleLogger], built on the top of loguru.
- **Collections**: Collection of helper functions and classes.
- **Toolkit**: Collection of simple yet fast functions and classes.
- **Re**: Collection of regular expressions (regex patterns) for common data validation tasks across a variety of fields.
- **Time**: Collection of time-related functions and classes.
- **Types**: Collection of types used across the project.

## Features
- **Console Logging**: Using the `ConsoleLogger` class, the application can log messages to the console for debugging
  and runtime monitoring.
- **IDE Compatibility**: The `FixIDEComplain` class prevents IDE complaints about unimplemented methods while keeping
  the codebase functional.
- **Modular Design**: The project is broken down into independent modules for easier testing, maintenance, and
  scalability.
- **High Performance**: The project uses efficient data structures and algorithms to optimize performance.
- **Type Checking**: The project uses type hints to enforce strong typing and provide better documentation.


## Installation

To install and run the `happy` project locally, follow these steps:

### Prerequisites

- Python 3.7+

### Steps

1. Clone the repository:
   ```bash
   git clone https://github.com/alaamer12/happy.git
   cd pyhappy
   ```

2. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```

or install the project as a package:

   ```bash
   pip install pyhappy
   ```
## Usage

### Toolkits

The `toolkits` module provides a collection of utility functions, decorators, and context managers for various tasks.

```python
from pyhappy.toolkits import simple_debugger, profile, check_internet_connectivity, monitor, Constants, retry

myconstants = Constants(a=1, b=2)

# Example usage
simple_debugger('Hello, World!')


def my_function():
    pass


my_function()


# Example usage
@profile
def my_function():
    pass


my_function()

# Example usage
check_internet_connectivity("https://www.google.com")


# Example usage
@monitor
def my_function():
    pass


my_function()


# Example usage
@retry
def my_function():
    pass


my_function()
```

## License

The `happy` project is licensed under the MIT License.