semvec/pypi-packages huggingface dataset:
parse2docs 0.1.3
Generate usage documentation from Python scripts using the `argparse` module
License: MIT
Requires Python: >=3.11,<4.0

# Parse 2 Docs

![PyPI](https://img.shields.io/pypi/v/parse2docs)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Tests](https://github.com/MrCordeiro/parse2docs/actions/workflows/tests.yml/badge.svg)](https://github.com/MrCordeiro/parse2docs/actions/workflows/tests.yml)
[![Linters](https://github.com/MrCordeiro/parse2docs/actions/workflows/linters.yml/badge.svg)](https://github.com/MrCordeiro/parse2docs/actions/workflows/linters.yml)

`parse2docs` is a Python library that allows you to automatically generate usage documentation in Markdown format from Python scripts using the `argparse` module.

## Features

* Scans the Python script for instances of `argparse.ArgumentParser`.
* Generates a Markdown file with usage documentation based on the `ArgumentParser` object.
* The generated documentation includes a table of contents, descriptions of each command line argument, and examples if provided.
* Works with `ArgumentParser` instances declared at the module level or returned by functions.

## Installation

`parse2docs` can be installed via `pip`:

```shell
pip install parse2docs
```

## Usage

There are two ways to use parse2docs, either as a Python module in your script or directly from the command line using the provided command.

### As a Python module

```python
import parse2docs

# Path to the Python script
script_path = 'path_to_your_python_script.py'

# Generate markdown documentation
markdown = parse2docs.generate_md_from_py_script(script_path)

# Save the markdown to a .md file
with open('output.md', 'w') as f:
    f.write(markdown)
```

This will generate a `output.md` file with the usage documentation in Markdown format.

### From the command line

#### Description

The following usage section was generated using `parse2docs` 😉:

```md
## Overall Usage Example

`example.py <file_path>`

## Table of Contents

* [file_path](#file_path)

## Options

### file_path

Path to the Python script file containing the ArgumentParser.

**Type**: `Path`

**Required**: Yes
```

This will print the usage documentation in Markdown format to the console.

## Testing

We use `pytest` for testing. Run the tests with the following command:

```bash
python -m pytest tests/
```

## Contributing

Contributions to `parse2docs` are welcome and awesome! Please submit a pull request or open an issue to discuss potential changes or improvements.
spamming 0.1.3
A spamming package
License: MIT
Keywords: spamming,spam,automation,pyautogui

# Spamming

A package for spamming people

# Usage

`pip install spamming`, obvisouly

`spamming.nonsense.main(nbr=15, slw=10)` for spamming 15 messages of random text, every 5 seconds

`spamming.spamclick.main(clicks=12)` for clicking 12 times automatically
textdungeon 6.9
suffer alone in your terminal!
License: MIT
Requires Python: >=3.7,<4.0
Keywords: text,dungeon,game

TODO: rewrite slogan and remove repo name hyphen or rename game entirely.

<div align=center>
  <img src="https://github.com/Masbender/text-dungeon/assets/91911303/63d96f62-a73d-4d79-ae93-347dd9906034">
  <h1 align=center>textdungeon: suffer alone in your terminal!</h1>
</div>

## About
This is a game created by Matthew Bender that allows you to traverse a spoopy dungeon. yay!! Rewrite me please... Noah was here.

## Installation

### Python Pip
install from pypi
```sh
pip install textdungeon
```
then simply run with
```sh
textdungeon
```

### Windows
Download text-dungeon.exe from [latest](https://github.com/Masbender/text-dungeon/releases/latest)
pysigsci 3.18.1
A python wrapper for the Signal Sciences API - https://docs.signalsciences.net/api/
License: MIT
Keywords: wrapper library signal sciences sigsci pysigsci api cli

Signal Sciences
==================

.. image:: https://img.shields.io/pypi/v/pysigsci.svg
    :target: https://pypi.python.org/pypi/pysigsci/
    :alt: Latest Version

.. image:: https://travis-ci.org/foospidy/pysigsci.svg?branch=master
    :target: https://travis-ci.org/foospidy/pysigsci

``pysigsci`` is a Python wrapper and CLI tool for the `Signal Sciences REST API`_.

Installation
------------
.. code-block:: bash

    $ pip install pysigsci

CLI usage
---------
.. code-block:: bash

    $ pysigsci --get requests

To see all options run: $ pysigsci --help

CLI configuration audit tool
----------------------------
.. code-block:: bash

    $ pysigscia --get-config
    $ pysigscia --compare site1 --to site2

To see all options run: $ pysigscia --help

Module usage
------------
.. code-block:: python

    from pysigsci import sigsciapi
    sigsci = sigsciapi.SigSciApi(email="myemail", password="mypassword")
    sigsci.corp = "mycorp"
    sigsci.site = "mysite"

    params = {"q": "from:-1d tag:XSS"}
    print(sigsci.get_requests(parameters=params))

More details and the latest updates can be found on the `GitHub Project Page`_.

.. _Signal Sciences REST API: https://docs.signalsciences.net/api/
.. _GitHub Project Page: https://github.com/foospidy/pysigsci
nonebot-plugin-savor 0.2.2
NoneBot2 plugin for image analysis
License: MIT
Requires Python: >=3.8

<div align="center">
  <a href="https://v2.nonebot.dev/store"><img src="https://github.com/A-kirami/nonebot-plugin-template/blob/resources/nbp_logo.png" width="180" height="180" alt="NoneBotPluginLogo"></a>
  <br>
  <p><img src="https://github.com/A-kirami/nonebot-plugin-template/blob/resources/NoneBotPlugin.svg" width="240" alt="NoneBotPluginText"></p>
</div>

<div align="center">

# nonebot-plugin-savor

_✨ 二次元图像分析 ✨_


<a href="./LICENSE">
    <img src="https://img.shields.io/github/license/A-kirami/nonebot-plugin-savor.svg" alt="license">
</a>
<a href="https://pypi.python.org/pypi/nonebot-plugin-savor">
    <img src="https://img.shields.io/pypi/v/nonebot-plugin-savor.svg" alt="pypi">
</a>
<img src="https://img.shields.io/badge/python-3.8+-blue.svg" alt="python">

</div>


## 📖 介绍

使用 DeepDanbooru 进行图像分析

[DeepDanbooru 在线使用](https://huggingface.co/spaces/hysts/DeepDanbooru)

## 💿 安装

<details>
<summary>使用 nb-cli 安装</summary>
在 nonebot2 项目的根目录下打开命令行, 输入以下指令即可安装

    nb plugin install nonebot-plugin-savor

</details>

<details>
<summary>使用包管理器安装</summary>
在 nonebot2 项目的插件目录下, 打开命令行, 根据你使用的包管理器, 输入相应的安装命令

<details>
<summary>pip</summary>

    pip install nonebot-plugin-savor
</details>
<details>
<summary>pdm</summary>

    pdm add nonebot-plugin-savor
</details>
<details>
<summary>poetry</summary>

    poetry add nonebot-plugin-savor
</details>
<details>
<summary>conda</summary>

    conda install nonebot-plugin-savor
</details>

打开 nonebot2 项目的 `bot.py` 文件, 在其中写入

    nonebot.load_plugin('nonebot_plugin_savor')

</details>

## 🎉 使用
### 指令表
| 指令 | 需要@ | 范围 | 说明 |
|:-----:|:----:|:----:|:----:|
| 鉴赏图片/分析图片 + 图片 | 否 | 群聊/私聊 | 分析发送的图片, 支持回复图片 |

**注意**

默认情况下, 您应该在指令前加上命令前缀, 通常是 /