semvec/pypi-packages huggingface dataset:
aopp-deconv-tool 0.1.28
Tool for performing deconvolution (using LucyRichardson and ModifiedClean algorithms), PSF fitting and filtering, and data manipulation for 2d images and 3d datacubes.
Requires Python: >=3.12
Keywords: deconvolution, ModifiedClean

Please see the documentation on the [aopp_obs_toolchain github pages site](https://jackdobinson.github.io/aopp_obs_toolchain/)
mkdocs-frontmatter-url 0.1.2
A MKDocs plugin that generates a button for a URL defined in the frontmatter
Requires Python: >=3.8
Keywords: frontmatter, mkdocs, plugin, url

# MkDocs Frontmatter URL Plugin

This MkDocs plugin generates a button or tag from a URL specified in the frontmatter of a markdown document.

## Installation

Install the package with pip:

```bash
pip install mkdocs-frontmatter-url
```

## Usage

1. Activate the plugin in your `mkdocs.yml`:

```yaml
plugins:
  - frontmatter-url
```

2. In your markdown files, add a `url` field to the frontmatter:

```yaml
---
title: My Page
gitlab: https://example.com
---

# Welcome to My Page

Content goes here...
```

3. The plugin will automatically generate a button with the specified URL after the frontmatter.
![alt text](./static/image.png)

4. To verify if the `on_page_markdown` function is triggering, run MkDocs with the verbose flag:

```bash
mkdocs build -v
```

or for serving:

```bash
mkdocs serve -v
```

This will display detailed logs, including messages from the plugin showing when the `on_page_markdown` function is triggered for each page.

## Configuration

You can customize the button text in your `mkdocs.yml`:

```yaml
plugins:
  - frontmatter-url:
      button-text: 'My external button'
      frontmatter-url-name: 'github'
```

`button-text` is the text that is shown on the button.
The default is `Visit link`.

`frontmatter-url-name` is the name of the url-field in your frontmatter.
The default is `url`.

## Limitations

- The css is not configurable
- There are multiple fontawesome-icons usable as an icon, but the icon itself is not configurable
- There is only room for one URL
- The button will always try to place itself under the first heading. If there is no first heading it will place itself on the top

The interaction with other plugins has not been tested

## License

This project is licensed under the MIT License.
flask-redis-constance 0.0.9
For use Dynamic settings with Flask
Requires Python: >=3.8

# Flask Constance

[![CircleCI](https://circleci.com/gh/Nels885/flask-redis-constance.svg?style=svg)](https://circleci.com/gh/Nels885/flask-redis-constance)


This package is inspired by the django-constance package which you can find with the link below.

https://django-constance.readthedocs.io/en/latest/


## Instructions

1. Install:

```
pip install flask-redis-constance
```

2. Example of use:

```python
from constance import config
```
MZAP 0.8.0
米粥SDK
Requires Python: >=3.8

# 米粥API (XMZAPI)

## 简介

XMZAPI 是一个基于Python的SDK，旨在帮助开发者快速构建和接入各大API服务和SDK服务。通过这个SDK，用户可以轻松地完成各种API调用。

## 安装依赖

为了使用XMZAPI，你需要安装以下依赖：

- `huaweicloudsdkcore`：华为云SDK核心模块。
- `huaweicloudsdknlp`：华为云自然语言处理SDK。
- `cryptography`: 用于加密和解密数据的Python库。

本库已经发布到了pypi可直接安装XMZAPI，安装过程中会自动安装本库所需要的依赖：

```bash
pip install XMZAPI
```

## 使用方法

详细的使用方法和示例代码可以在[XMZAPI文档](https://github.com/xiaomizhoubaobei/XMZAPI)中找到。


请仔细阅读这些文档，以了解如何使用XMZAPI的不同功能。

## 联系作者

如果你在使用XMZAPI时遇到任何问题，或者有任何建议和反馈，欢迎通过以下方式联系作者：

- **姓名**：祁筱欣
- **电子邮件**：mzapi@x.mizhoubaobei.top
- **项目网址**：[https://github.com/xiaomizhoubaobei/XMZAPI](https://github.com/xiaomizhoubaobei/XMZAPI)
## 开源许可证

MZAPI采用[MIT许可证](LICENSE)。
lexstruct-pdf 0.0.1
A package that enables extraction of text, images, and tables.
Requires Python: >=3.8
Keywords: python, PDF, extract, text, tables, images, LexStruct

#LexStruct_PDF

This is an efficient python library build to extract the contents(text,images,tables) from a pdf.

It accepts one argument i.e. path of your pdf.

How to use:-

from LexStruct_PDF import ContentExtractor

obj  = ContentExtractor("pdf to your path")
extracted_text = obj.extract_content()