semvec/pypi-packages huggingface dataset:
demo-same-package-two 0.0.2
a test for multi packages on the same namespace
License: MIT
Requires Python: >=3.7

# OVERVIEW
* a experiment for verifying if two pypi packages can have the same {namespace} or not

# STRUCTURE
* PACKAGES
  * one : demo_same_package/one.py
  * two : demo_same_package/two.py

# THIS PACKAGE
* two


### EXPECTATION
* PACKAGE INSTALLATION
``` bash
pip install demo-same-package-one
pip install demo-same-package-two
```

* EXPECTED RESULTS
  * the source code would be
    * demo_same_package/
      - one
      - two
demo-same-package-one 0.0.2
a test for multi packages on the same namespace
License: MIT
Requires Python: >=3.7

# OVERVIEW
* a experiment for verifying if two pypi packages can have the same {namespace} or not

# STRUCTURE
* PACKAGES
  * one : demo_same_package/one.py
  * two : demo_same_package/two.py

# THIS PACKAGE
* one


### EXPECTATION
* PACKAGE INSTALLATION
``` bash
pip install demo-same-package-one
pip install demo-same-package-two
```

* EXPECTED RESULTS
  * the source code would be
    * demo_same_package/
      - one
      - two
nonebot-plugin-ayaka-who-is-suspect 0.2.0
谁是卧底
License: MIT
Requires Python: >=3.8,<4.0

# 谁是卧底 0.2.0

基于[ayaka](https://github.com/bridgeL/nonebot-plugin-ayaka)开发的 谁是卧底 小游戏

任何问题欢迎issue

## 安装插件

`nb plugin install nonebot-plugin-ayaka-who-is-suspect`

## 文档

https://bridgel.github.io/ayaka_doc/latest/games/who-is-suspect/
SpacePuma 0.22.3
Interact with your data.
License: MIT

# SpacePuma

```SpacePuma``` is an interactive extension to matplotlib designed for use within a jupyter environment. It was originally developed for the processing of astrochemical data but has demonstrated uses across a range of other data-handling fields. The extension combines a series of tools that allow for user input directly through a ```matplotlib```-powered GUI and indirectly through python. Data products, including figures, calculations, and data manipulations, can be exported to a python dictionary or saved through integration with ```pickle```. 

Customization of ```SpacePuma``` is possible and highly encouraged, with explanations of the necessary modifications covered in the tutorials. All the code is available publicly on GitHub. Tutorial notebooks are included within the Tutorials directory. For detailed instructions on how to modify or add to the tools, check our documentation page [here]().

## Installation

To install ```SpacePuma```, grab the latest version from PyPi using pip:

```
$ pip install spacepuma
```

This will install a couple of dependencies, including matplotlib, scipy, ipympl, and seaborn, each of which should be installed automatically if you don't already have them. To verify that everything installed properly, the tutorials should work without issue.
Now, all the necessary packages should be installed!

## Tutorials

Once you have installed the package, you can make use of some of the tutorials we have designed. To access the tutorials, clone the repository here and enter the tutorials folder and launch the tutorial notebook:

```bash
cd Tutorials
jupyter lab 
```

These tutorials should orient new users to the tools and provide a significant explanation of the powers of the package as a whole. Please report any issues through GitHub where they will be addressed in a timely manner.

Happy coding!

*N.B. These tools were originally developed for the Öberg Astrochemistry Group. The name```SpacePuma``` was chosen following the space feline naming convention of the lab. It stands for: **Space Puma: Astrochemistry Code for Experiments Pertaining to the Understanding of More Astrochemisty***
frosty-obfuscator 0.0.2
It's a python obfuscator.
License: MIT
Keywords: obfuscator

# Python-Obfuscator

## Installing

```
pip install python-obfuscator
```

## Quickstart

Print out obfuscated code
```
pyobfuscate -i your_file.py
```

Apply changes to the input file
```
pyobfuscate -i your_file.py -r True
```

## More Detailed Documentation

You can use this as a module if you want
```
import python_obfuscator
obfuscator = python_obfuscator.obfuscator()

code_to_obfuscate = "print('hello world')"
```

You can also exclude certain techniques applied for obfuscation
```
import python_obfuscator
from python_obfuscator.techniques import add_random_variables
obfuscator = python_obfuscator.obfuscator()

code_to_obfuscate = "print('hello world')"
obfuscated_code = obfuscator.obfuscate(code_to_obfuscate, remove_techniques[add_random_variables])
```
Find a list of all techniques [here](https://github.com/davidteather/python-obfuscator/blob/210da2d3dfb96ab7653fad869a43cb67aeb0fe67/python_obfuscator/techniques.py#L87)

## Example Obfuscated Code

Input
```
y = input("what's your favorite number")

user_value = int(y)
print("{} that's a great number!".format(user_value))
```

[With `pyobfuscate -i file.py`](https://gist.github.com/davidteather/b6ff932140d8c174b9c6f50c9b42fdaf)


[With `--one-liner True`](https://gist.github.com/davidteather/75e48c04bf74f0262fe2919239a74295)

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
rqrcode 0.0.1
Python qrcode extension developed with rust.
License: MIT
Requires Python: >=3.7

# rqrcode.py

![CI](https://github.com/korykim/rqrcode/workflows/CI/badge.svg)
# 使用方法(usage)

### 安装(install)
```shell
pip install rqrcode
```

### 测试(test)
```python
from rqrcode import rqrcode

if __name__ == '__main__':
    # 生成二维码PNG图片保存(Generate QR code PNG picture and save)
    rqrcode.qrcode_img("hello","C:\\Users\\user\\Desktop\\qrcode.png")
    # 生成二维码SVG图片保存(Generate QR code SVG picture and save)
    rqrcode.qrcode_svg("hello","C:\\Users\\user\\Desktop\\qrcode.svg")
    # 生成二维码unicode(Generate QR code unicode)
    rqrcode.qrcode_unicode("hello")
```


# 扩展(extend)
### 如果使用源码自定义扩展(If you use the source code to customize the extension)
- 1.下载源码(Download source code)
```shell
git clone https://github.com/korykim/rqrcode
```
- 2.安装(Install)
```shell
python -m venv C:\Users\user\myenv # 创建虚拟环境(Create virtual environment)

cd C:\Users\user\myenv\Scripts # 进入虚拟环境目录(Enter the virtual environment directory)

.\activate # 激活虚拟环境(Activate virtual environment)

pip install maturin # 安装maturin(Install maturin)

cd rqrcode # 进入源码目录(Enter the source code directory)

maturin develop # 会自动打包出一个 wheel 包，并且安装到当前的 venv 中(Automatically package a wheel package and install it to the current venv)

```
- 3.现在可以在python中正常使用了(Now you can use it normally in python)
- 4.发布whl包(Publish whl package)
```shell
maturin build --release --interpreter python
```

此时在./target/wheels目录下会生成whl包，可以上传到pypi或者使用pip install安装(At this time, a whl package will be generated in the ./target/wheels directory, which can be uploaded to pypi or installed using pip install).