semvec/pypi-packages huggingface dataset:
kivy-garden.matplotlib 0.1.1.dev0
A Kivy Garden flower for matplotlib
Keywords: Kivy kivy-garden

kivy-garden Matplotlib flower
========================

[![Github Build Status](https://github.com/kivy-garden/matplotlib/workflows/Garden%20flower/badge.svg)](https://github.com/kivy-garden/matplotlib/actions)

A kivy garden flower providing a matplotlib widget.

See https://kivy-garden.github.io/matplotlib/ for the rendered flower docs.

Please see the garden [instructions](https://kivy-garden.github.io) for how to use kivy garden flowers.

CI
--

Every push or pull request run the [GitHub Action](https://github.com/kivy-garden/matplotlib/actions) CI.
It tests the code on various OS and also generates wheels that can be released on PyPI upon a
tag. Docs are also generated and uploaded to the repo as well as artifacts of the CI.


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

Check out our [contribution guide](CONTRIBUTING.md) and feel free to improve the flower.

License
---------

This software is released under the terms of the MIT License.
Please see the [LICENSE.txt](LICENSE.txt) file.

How to release
===============

See the garden [instructions](https://kivy-garden.github.io/#makingareleaseforyourflower) for how to make a new release.
akello 0.0.24
FastAPI server akello.io
Requires Python: >=3.8

# Akello Fast API Server

This package includes all the backend API services needed for Akello. You can extend from the base server and add new endpoints to override any behavior.

## Run local

Make sure the following dependencies are met with your system
* Docker is running
* AWS cli is configured (needed for Cognito and DynamoDB docker containers)

```shell
pip install akello
akello start server
```

After the script completes you will be able to access the API on http://localhost:8000
odooer 1.0.3
A CLI tool for creating Odoo module boilerplate
Keywords: Odoo CLI

# Odooer

## Overview
Odooer is a CLI tool designed to streamline the development of Odoo modules by automating the boilerplate creation process. It facilitates the quick setup of new modules or the extension of existing ones, ensuring that developers can focus more on functionality rather than setup procedures.

## Features
- **Module Creation**: Easily generate a new Odoo module with a standard directory structure, including models, views, and security settings.
- **Inheritance Support**: Extend existing Odoo modules with custom functionality by inheriting from them directly through the CLI.
- **Automatic File Generation**: Automatically creates essential files like `__init__.py`, `model.py`, `__manifest__.py`, and `ir.model.access.csv`, along with basic templates to get you started.

## Installation
Odooer can be installed via pip. Ensure you have Python installed on your system before proceeding.

```bash
pip install odooer
```

## Usage
Odooer simplifies the creation of Odoo modules with two primary commands: `create` and `inherit`.

### Creating a New Module
To create a new module, run the following command:

```bash
odooer create <module_name>
```

This command sets up a new module with a basic structure, including model and view directories, and initializes files necessary for Odoo modules.

### Inheriting From an Existing Module
To extend an existing module with additional functionality, use:

```bash
odooer inherit <module_name_to_inherit> <your_module_name>
```

This creates a new module that inherits from an existing one, allowing you to extend or override functionality as needed.

## Project Structure
Odooer generates the following structure for a new module:

- **/models**: Contains `model.py` with a template for model definition.
- **/views**: Includes `module_view.xml` for defining UI elements.
- **/security**: (Optional) Holds `ir.model.access.csv` for access rights configuration, not created when inheriting.
- **`__init__.py`**: Autogenerated to import models.
- **`__manifest__.py`**: Contains module metadata, dependencies, and data files.

## Contributing
Contributions to the Odooer project are welcome. Whether it's bug reports, feature suggestions, or code contributions, please feel free to reach out.

## Contact
- **Author**: Muhammad Osama
- **Linkedin**: https://www.linkedin.com/in/ocama-mohamed
- **Email**: ocama_aslam@outlook.com
reddit2text 0.0.9
Convert Reddit posts to text
Requires Python: >=3.6
Keywords: python, reddit, text conversion, reddit api, praw, reddit to text, reddit comments, social media analysis


# Reddit2Text

`reddit2text` is *the* Python library designed to effortlessly **transform any Reddit thread into clean, readable text data**.

Perfect for *feeding to an LLM, performing textual/data analysis, or simply archiving for offline use*, `reddit2text` offers a straightforward interface to access and convert content from Reddit.

## Table of Contents
- [Features](#features)
- [Installation](#installation)
- [Quickstart](#quickstart)
  - [Example Code](#example)
  - [Example Output](#output)
- [Configs](#configs)
- [Contributions](#contributions)
- [License](#license)

<a id="features"></a>

## Features
- Convert any Reddit thread (the post + all its comments) into structured text.
- Include all comments, with the ability to specify the maximum comment depth.
- Configure a custom comment delimiter, for visual separation of nested comments.

> **Have a Feature Idea?**
>
> Simply ***open an issue on github*** and tell us what should be added to the next release!

<a id="installation"></a>

## Installation
Easy install using pip
```sh
pip3 install reddit2text
```

<a id="quickstart"></a>

## Quickstart
**First**, you need to create a Reddit app to get your **client_id** and **client_secret**. Follow the instructions on [Reddit's API documentation](https://www.reddit.com/wiki/api) to set up your application.

**Then**, replace the `client_id`, `client_secret`, and `user_agent` with your credentials.

The user agent can be anything you like, but we recommend following this convention according to Reddit's guidelines: `'<app type>:<app name>:<version> (by <your username>)'`

<a id="example"></a>

*Here's an example:*
```python
from reddit2text import Reddit2Text

r2t = Reddit2Text(
    # example credentials
    client_id='123abc',
    client_secret='123abc',
    user_agent='script:my_app:v1.0 (by u/reddit2text)'
)

# The URL must have the post ID after the /comments/ to work, e.g. `1buyr0g`
URL = 'https://www.reddit.com/r/MadeMeSmile/comments/1buyr0g/ryan_reynolds_being_wholesome/'

output = r2t.textualize_post(URL)
print(output)
```

<a id="output"></a>

Here is an example (truncated) output from the above code!
https://pastebin.com/mmHFJtcc

<a id="configs"></a>

## Extra Configuration
- **max_comment_depth**: Maximum depth of comments to output. Includes the top-most comment. Defaults to `None` or `-1` to include all.
- **comment_delim**: String/character used to indent comments according to their nesting level. Defaults to `|` to mimic reddit.

```python
r2t = Reddit2Text(
    # credentials ...
    max_comment_depth=3,  # all comment chains will be limited to a max of 3 replies
    comment_delim='#'  # each comment level will be preceded by multiples of this string
)
```

<a id="contributions"></a>

## Contributions
Contributions to reddit2text are welcome. Please submit pull requests or issues to our GitHub repository.

<a id="license"></a>

## License
reddit2text is released under the MIT License. See the LICENSE file for more details.
sexup 0.0.1
Generating barcoded paper to backup of secret keys
Requires Python: >=3.8

# sexup

Sexup (`sex-bacukup`), generating barcoded paper to backup of secret keys. Designed to backup ASCII-armored GnuPG, SSH key files and ciphertext.

## Installation

```console
pip install -U sexup
```

## License

`sexup` is distributed under the terms of the [MIT](LICENSE.txt) license.