semvec/pypi-packages huggingface dataset:
asyncord 0.13.19
A smart and powerful base for creating discord bots and interaction with the API.
License: MIT
Requires Python: >=3.12.0

🚀 Asyncord
===========
.. Github hack to display the logo correctly

.. image:: assets/logo_thumbnail.png
    :alt: Asyncord Logo
    :align: center

📚 Introduction
===============

Welcome to Asyncord, the next-generation library for building powerful and efficient Discord bots with Python!

Asyncord makes bot development seamless and enjoyable by closely following the official Discord API. It ensures your bots are fast and responsive. Whether you're a seasoned developer or a beginner, Asyncord provides the tools and documentation to create bots that handle everything from simple commands to complex interactions.

🌟 Key Features
===============

- ⚡ **Fully Asynchronous**: Asyncord is built with asynchronous programming from the ground up.

- 📝 **Total type hints coverage**: The library is fully typed, with type hints for all functions and classes.

- ✅ **Complete Pydantic Schema Coverage**: Asyncord incorporates full pydantic schema coverage, ensuring robust data validation and management.

- 🛠️ **Full Discord Bot API Coverage**: The library offers complete coverage of the Discord Bot API, enabling access to all the functionalities that Discord provides for bots. This includes handling messages, managing servers, user interactions, and more.

- 📖 **Clarity and Comprehensibility**: Asyncord is designed to be more clear and understandable than other libraries, as it closely follows the official Discord API documentation. This adherence makes it easier for developers to implement and maintain their bots.

🛠️ Installing
=============

To install the library, run the following command::

    pip install asyncord

That's it! You're ready to start building your Discord bot. 🤖

🤝 Contributing
===============

Contributions of all sizes are welcome. We appreciate any help, whether it's fixing a bug, improving the documentation, or adding a new feature. If you're interested in contributing, please read our `contributing guidelines <CONTRIBUTING.md>`_ to get started. 🚀

📜 License
==========

This project is licensed under the MIT License. For more information, please refer to the `LICENSE <LICENSE>`_ file. 📄
musicir 0.0.6
Music Information Retrieval
License: MIT
Requires Python: <3.13,>=3.11

Music Information Retrieval
===========================

|PyPI| |Status| |Python Version| |License|

|Read the Docs| |Tests| |Codecov|

|pre-commit| |Black|

.. |PyPI| image:: https://img.shields.io/pypi/v/musicir.svg
   :target: https://pypi.org/project/musicir/
   :alt: PyPI
.. |Status| image:: https://img.shields.io/pypi/status/musicir.svg
   :target: https://pypi.org/project/musicir/
   :alt: Status
.. |Python Version| image:: https://img.shields.io/pypi/pyversions/musicir
   :target: https://pypi.org/project/musicir
   :alt: Python Version
.. |License| image:: https://img.shields.io/pypi/l/musicir
   :target: https://opensource.org/licenses/MIT
   :alt: License
.. |Read the Docs| image:: https://img.shields.io/readthedocs/musicir/latest.svg?label=Read%20the%20Docs
   :target: https://musicir.readthedocs.io/
   :alt: Read the documentation at https://musicir.readthedocs.io/
.. |Tests| image:: https://github.com/fccoelho/musicir/workflows/Tests/badge.svg
   :target: https://github.com/fccoelho/musicir/actions?workflow=Tests
   :alt: Tests
.. |Codecov| image:: https://codecov.io/gh/fccoelho/musicir/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/fccoelho/musicir
   :alt: Codecov
.. |pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white
   :target: https://github.com/pre-commit/pre-commit
   :alt: pre-commit
.. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :target: https://github.com/psf/black
   :alt: Black


Features
--------

MusicIR goal is to offer a simple API to accomplish common Music Information Retrieval tasks. It leverages other libraries but tries to keep the complexity low.

Currently it offers a very simple way to extract the harmony (Chord anotations) from leadsheets in `musicxml` format.


Requirements
------------

* TODO


Installation
------------

You can install *Music Information Retrieval* via pip_ from PyPI_:

.. code:: console

   $ pip install musicir


Usage
-----

Please see the `Command-line Reference <Usage_>`_ for details.


Contributing
------------

Contributions are very welcome.
To learn more, see the `Contributor Guide`_.


License
-------

Distributed under the terms of the `MIT license`_,
*Music Information Retrieval* is free and open source software.


Issues
------

If you encounter any problems,
please `file an issue`_ along with a detailed description.


Credits
-------

This project was generated from `@cjolowicz`_'s `Hypermodern Python Cookiecutter`_ template.

.. _@cjolowicz: https://github.com/cjolowicz
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _MIT license: https://opensource.org/licenses/MIT
.. _PyPI: https://pypi.org/
.. _Hypermodern Python Cookiecutter: https://github.com/cjolowicz/cookiecutter-hypermodern-python
.. _file an issue: https://github.com/fccoelho/musicir/issues
.. _pip: https://pip.pypa.io/
.. github-only
.. _Contributor Guide: CONTRIBUTING.rst
.. _Usage: https://musicir.readthedocs.io/en/latest/usage.html
akumaimageeffect 0.1.2
A Python project for image effects
License: MIT
Requires Python: <4.0,>=3.10

# Akuma Image Effect 🖼️➡🎥

**Professional framework for transforming images into videos with dynamic effects**

---

## Features ✨

- 🎨 **Dynamic Effects**: Apply zoom, fade, and custom transformations to images.
- 🌐 **Multi-Source Support**: Load images from local files or remote URLs.
- 🛠️ **Extensible System**: Easily register custom effects.
- 🎥 **Video Generation**: Create MP4 videos with configurable duration and FPS.
- 🧩 **Professional Configuration**: Fine-tune quality, interpolation, and background colors.

---

## Installation 📦

```bash
pip install akumaimageeffect
```

---

## Quick Start 🚀

```python
from akuma import AkumaEngine

# Initialize the engine
engine = AkumaEngine()

# Generate a video with zoom-in effect
engine.generate_video(
    image_src="input.jpg",
    effect="akuma_zoom_in",
    duration=3.0,
    output_path="output.mp4"
)
```

---

## Available Effects 🎨

| Effect Name       | Description                          | Key Parameters           |
|-------------------|--------------------------------------|--------------------------|
| `akuma_zoom_in`   | Smooth centered zoom effect          | `interpolation`          |
| `akuma_zoom_out`  | Progressive reduction with background | `background_color`       |

---

## Register Custom Effects 🛠️

```python
from akuma import AkumaEngine, EffectConfig

@AkumaEngine.register_effect("custom_effect")
def custom_effect(image: np.ndarray, progress: float, config: EffectConfig) -> np.ndarray:
    """
    Custom effect logic
    
    Args:
        image: Input image (numpy array)
        progress: Animation progress (0.0 to 1.0)
        config: Effect configuration
        
    Returns:
        Transformed image
    """
    # Your transformation logic here
    return transformed_image
```

---

## Advanced Configuration ⚙️

```python
from akuma import EffectConfig

# Custom configuration
config = EffectConfig(
    output_quality=18,            # Video quality (0-51, lower is better)
    interpolation=cv2.INTER_CUBIC,  # Interpolation method
    background_color=(255, 255, 255)  # Background color (BGR format)
)

# Initialize engine with custom config
engine = AkumaEngine(config)
```

---

## System Requirements 💻

- **Python**: 3.10+
- **FFmpeg**: Required for video processing
- **Dependencies**:
  - OpenCV (`opencv-python`)
  - NumPy (`numpy`)
  - Requests (`requests`)

---

## Contributing 🤝

1. Fork the repository.
2. Add new effects in the `akuma/effects/` directory.
3. Submit a pull request with a clear description of your changes.

---

## License 📄

This project is licensed under the **MIT License**. See the [LICENSE](LICENSE) file for details.

---

## Example Use Cases 🌟

- **Social Media Content**: Create engaging intros/outros for videos.
- **Presentations**: Add dynamic effects to slides.
- **E-Learning**: Enhance educational materials with animated visuals.

---

## Support 🆘

For issues or feature requests, please open an issue on the [GitHub repository](https://github.com/akumanomi1988/AkumaImageEffect).

---

**Akuma Image Effect**: Where images come to life! 🎬✨
easy-upload 0.1.2
User-friendly Twine alternative for PyPI.
License: MIT
Requires Python: >=3.9

# easy_upload
User-friendly Twine wrapper.
## Features
- Automatically search/easily select whl/tar.gz from current directory
## Requirements
- keyring backends
    - Freedesktop Secret Service (requires secretstorage)
    - KDE4 & KDE5 KWallet (requires dbus)
## Install
easy-upload can be installed from PyPI.
```
# pip
pip install easy-upload

# pipx
pipx install easy-upload
```
## How To Use
You can start by running `easy_upload upload`. It is not recommended to run it in your home directory, for example, due to its specification.