semvec/pypi-packages huggingface dataset:
boxcounting 1.0.0.3
A python port of the MATLAB boxcount to calculate the     fractal (box-counting) dimension of 1D, 2D or 3D data
License: MIT
Requires Python: >=3.8

# Calculate fractal (box-counting) dimension

This is a direct port of the MATLAB boxcount code developed by F. Moisy. 
See the original code here: https://de.mathworks.com/matlabcentral/fileexchange/13063-boxcount.
sf-apm-lib 0.1.6
Snappyflow pip package
License: MIT

sf-apm-lib
==============
[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/) [![pypi-package](https://img.shields.io/badge/pypi-green)](https://pypi.org/project/sf-apm-lib/)

Snappyflow modules

Installation
------------
pip install sf-apm-lib

Then you should import the library.

```python 
from sf_apm_lib.snappyflow import Snappyflow
```

Usage
-----

Get trace config

```python    
sf = Snappyflow() # Initialize Snappyflow. By default intialization will pick profileKey, projectName and appName from sfagent config.yaml.

# Add below part to manually configure the initialization
project_name = '<Snappyflow Project Name>'
app_name = '<Snappyflow App Name>'
profile_key = '<Snappyflow Profile Key>'

sf.init(profile_key, project_name, app_name)
# End of manual configuration

trace_config = sf.get_trace_config() # Returns trace config

print(trace_config)
```
markline 0.3.3
Convert Markup to Markdown with a transformation pipeline.
License: MIT
Requires Python: <4.0.0,>=3.10.6

# <img src="https://raw.githubusercontent.com/hughcameron/markline/main/img/markline.svg" width="200">

**Markline** converts HTML to Markdown and supports transformation methods borrowed from data engineering concepts. The goal of this project is to provide a simple API that renders HTML to Markdown for note management applications such as [Logseq](https://logseq.com).


## Getting Started

### Installation

Markline is available on PyPI:

```bash
python -m pip install markline
```

#### Dependencies

Markdown rendering is performed with [Pandoc](https://pandoc.org/) so the `pandoc` command-line tool needs to be available in your environment. You may follow [the official installation instructions](https://pandoc.org/installing.html)
which are OS-dependent, or if you are a [conda](https://www.google.com/search?q=conda+python) user, with the following command:

```bash
conda install -c conda-forge pandoc
```

Beautiful Soup supports the HTML parser included in Python's standard library, but it also supports a number of third-party Python parsers. One is the [lxml parser](http://lxml.de/) which provides a good balance between performance and accuracy. More information about the parsers can be found in the [Beautiful Soup documentation](https://www.crummy.com/software/BeautifulSoup/bs4/doc/#installing-a-parser).

 For conda users, you can install the lxml package with the following command:

```bash
conda install -c conda-forge lxml
```
mysql-server-has-gone 2.0.5
Django myslq backend that fixes issue with long living connection
License: MIT

# 基于下面库进行优化，主要适配Django==5.0.3以后的版本。修复原子事务报错的问题

安装：`pip install mysql_server_has_gone`
因为代码里用到了MySQLdb库，所以需要安装mysqlclient。如果你用到了其他库导致报错，可以github上滴滴我，我会及时修复的。

以下是原始文档：

# MySQL-server-has-gone-away

This repository solves issue where database connection inside of django overlives MySQL database connection timeout specified in `/etc/my.cnf` `wait_timeout = xxxx`. [See this issue](https://stackoverflow.com/questions/26958592/django-after-upgrade-mysql-server-has-gone-away)


## How to use:
1. For Django 1.x and 2.x use `pip install mysql_server_has_gone_away==1.0.0`

1. For django 3.x use `pip install mysql_server_has_gone==2.0.0`

1. Put this engine into Django `settings.py`:

```python
DATABASES = {
	'default': {
		'ENGINE': 'mysql_server_has_gone_away', 
		#'NAME': 'database-name',
		#'USER': 'database-user',
		#'PASSWORD': 'database-password',
		#'HOST': 'localhost',
	}
}
```