semvec/pypi-packages huggingface dataset:
ndclient 0.1.3
Python RESTAPI client for Cisco Nexus Dashboard
Requires Python: >=3.7

# ndclient [![pipeline](https://github.com/dsx1123/ndclient/actions/workflows/python-app.yml/badge.svg?branch=main)](https://github.com/dsx1123/ndclient/actions/workflows/python-app.yml)


Python RESTAPI Client for Cisco Nexus Dashboard
random-permutation 0.1.15
A module for efficiently generating very large random permutations

# Random Permutation

This module provides a class `RandomPermutation` that can be used to
generate a random permutation of a given length in O(1) time and space.

## Installation

To install the module, run:

```
pip install random_permutation
```

## Usage

To use the `RandomPermutation` class, import it from the `random_permutation` module:

```python
from random_permutation import RandomPermutation

n = 2**20
p = RandomPermutation(n)
for x in p:
  print(x)
# or
for i in range(n):
  print(p[i])
```

This will output the elements of the `RandomPermutation` object. You can
use the `seed` parameter to vary the permutations and the `num_ciphers`
parameter to control the number of ciphers used.

## Testing

To run the unit tests for the `RandomPermutation` class, run:

```
python -m unittest tests.test_permutation
```

## License

This module is licensed under the MIT License.
SyntaxHighlighterS 0.0.5
A Simple Starter Syntax Highlighter.

# ShS Documentation
Syntax Highlighter S is a simple tool for simple syntax highlightning in Tkinter Applications.

## About
Syntax Highlighter S(Simple) was made for simple Syntax Highlighting in Tkinter Applications, it can be used to syntax highlight strings, all types of related parentheses(<>, [], (), {}), language keywords and numbers. You can choose what language you want your program to syntax highlight and all types of prints, strings, parentheses and numbers will anyway be included, because is already build into 'almost' all of the languages.

## Disclaimer
Please remember that this project is not super advanced and no advanced features will ever release, this project was only made for simple syntax highlightning and only the mentioned functions in the 'About' section are the included functions in this project

## Installation
To install Syntax Highlighter S you will need to open your terminal and type the following:

Windows
```bash
py -m pip install SyntaxHighlighterS
```

After doing so proceed to type ```import SyntaxHighlighterS``` or ```from SyntaxHighlighterS import SyntaxHighlighter```, if you have done all of these steps please check out the rest of the documentary for more info on how to code with the library.

## Attributions
The Syntax Highlighter S library is made with the ```re``` module for patterns and regular expressions, and takes use of the ```tkinter``` library for it's main usage.

## Usage
![Image URL](https://cdn.discordapp.com/attachments/822800366604386314/1160307587783348234/Screenshot_464.png?ex=65342fa6&is=6521baa6&hm=d93560f816eb58a0c2018973af47d31777f8e4f202d0466f98edf51e34a8168c&)

## Functions
Here are all of the functions the library can be used for:
- Syntax Highlightning for C, Python, Lua, JavaScript, HTML and SQL.
- Only syntax highlights strings.
- Syntax Highlights the ```print``` keyword.
- Only syntax highlights (), [], {} and <>.
- Only syntax highlights programming language keywords (example in-python: ```def```, ```if```, ```for```, ```while```, ```class```, ```else```, ```elif```, ```import``` and ```return```).

## License
The following library is licensed under the [MIT License](https://opensource.org/license/mit/), for more info check out the whole license page.
EVCode 1.8.0
一个通过SMTP进行邮箱验证码发送的项目

# EVCode
[English](README_en.md)

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/EVCode?style=for-the-badge&logo=python&label=%E6%94%AF%E6%8C%81%E7%9A%84%20Pyhon%20%E7%89%88%E6%9C%AC)
![PyPI - Version](https://img.shields.io/pypi/v/EVCode?style=for-the-badge&logo=python&label=%E5%BD%93%E5%89%8D%E7%89%88%E6%9C%AC)
![PyPI - Downloads](https://img.shields.io/pypi/dm/EVCode?style=for-the-badge&logo=pypi&label=PYPI%20%E4%B8%8B%E8%BD%BD%E9%87%8F%20%2F%20%E6%9C%88)
![Pepy Total Downlods](https://img.shields.io/pepy/dt/EVCode?style=for-the-badge&logo=pypi&label=PYPI%20%E6%80%BB%E4%B8%8B%E8%BD%BD%E9%87%8F)
![PyPI - License](https://img.shields.io/pypi/l/EVCode?style=for-the-badge&logo=gnu&label=%E5%BC%80%E6%BA%90%E5%8D%8F%E8%AE%AE&color=red)




**EVCode** 是一个用于通过SMTP发送邮箱验证码的Python第三方库，具备删除记录的功能，提供了丰富的自定义选项。

## 功能

- 通过SMTP服务器发送邮箱验证码。
- 支持删除记录的功能。
- 提供了丰富的自定义选项。

## 贡献指南

如果你想为EVCode贡献自己的一份力量，欢迎提供反馈、报告问题或提交PR（或者加入DETeam，请联系GitHub主页邮箱）。

## 许可证

EVCode采用GNU Lesser General Public License v3 (LGPLv3)许可证。有关详细信息，请参阅[LICENSE](https://github.com/DETeam-GitHub/EVCode/blob/main/LICENSE)文件。

## 联系方式

- Wiki页面：[![Static Badge](https://img.shields.io/badge/GitHub-Wiki-red)](https://github.com/lidongxun967/EVCode/wiki)
- 项目页面：[![Static Badge](https://img.shields.io/badge/GitHub-gleen)](https://github.com/DETeam-GitHub/EVCode)
- 包发布页面：[![Static Badge](https://img.shields.io/badge/PYPI-Link-blue)](https://pypi.org/project/EVCode)
- 作者：DETeam的各位成员们，感谢他们！

感谢使用EVCode！

[![Star History Chart](https://api.star-history.com/svg?repos=DETeam-GitHub/EVCode&type=Date)](https://star-history.com/#DETeam-GitHub/EVCode&Date)
codeboxcli 23.10.4
CLI for Saving and Sharing Code Snippets

<div align="center">

[![License](https://img.shields.io/github/license/MarcOrfilaCarreras/codebox-thefullstack-hackathon?style=for-the-badge)](https://github.com/MarcOrfilaCarreras/codebox-thefullstack-hackathon) &nbsp; ![The Full Stack Hackathon](https://img.shields.io/badge/-The_Full_Stack_Hackathon-000000?style=for-the-badge&logo=data:image/png;base64,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)

</div>

<div align="center">
    <h1>Codebox</h1>
    <h4>CLI for Saving and Sharing Code Snippets</h4>
</div>

## About The Project
Codebox is a command-line interface (CLI) program that allows you to easily save and share code snippets directly from your terminal. It provides a simple and efficient way to manage your code snippets with features like adding, listing, and deleting snippets.

## Table of Contents
- [Installation](#installation)
- [Usage](#usage)
  - [Adding a Snippet](#adding-a-snippet)
  - [Listing Snippets](#listing-snippets)
  - [Deleting Snippets](#deleting-snippets)
  - [Sharing Snippets](#sharing-snippets)
- [License](#license)

## Installation

To use Codebox, you need to have Python installed on your system. You can install Codebox using pip:

```bash
pip install codeboxcli
```

## Usage
### Adding a Snippet
To add a code snippet, use the following command:

```bash
codebox add --name <snippet_name> --tags <tag1> <tag2> ...
```

### Listing Snippets
To list all saved snippets, use the following command:

```bash
codebox list
```

### Deleting Snippets
To delete one or more snippets, use the following command:

```bash
codebox delete <snippet_id> ...
```

### Sharing Snippets
To share one snippet, use the following command:

```bash
codebox share <snippet_id> ...
```

## License

Distributed under the MIT License. See `LICENSE` for more information.
justmltools 4.0.0
A library for recurring tasks in machine learning projects
Requires Python: >=3.7

# justmltools

This Python package is a library for recurring tasks in machine learning projects.

It provides the following features:
* standardized path layout for machine learning input and output data
* easy data transfer between a local file system and an [MLflow repository](https://www.mlflow.org/)
* easy data transfer between a local file system and an [AWS S3 bucket](https://aws.amazon.com/s3/)
* easy data transfer from a GitLab repository to the local file system

## Installation

From [PyPi](https://pypi.python.org/pypi/justmltools/):

```
pip3 install justmltools
```

## Documentation

Find documentation on when and how to use justmltools in the [Wiki](https://github.com/BigNerd/justmltools/wiki).
zhangTCD 0.1.4
For lab data management
Requires Python: >=3.7

# A. To-do list
- pack data information
- Image correlation
- Image contrast adjust
- thickness recognition
- Add labels to multiple lines
- Complete linescan for SEM
- Add information for saved data

# B. Completed task
- Merge individual curves from multiple files
- Add shaded regions for peak range
- SEM - remove data zone
- image data structure created
- xyplot data structure created
- restructure - abstract a base class for plotting/updating data (figProc)
- Add save/load to
    - Output individual maps/2d plots so that they can be plotted in a subfigure
    - Output images

# 1. Data structure
## 1.0 imgData

## 1.1 lineData

## 1.1 figProc
### 1.2 hyperImg
## 1.2 spcMap
## 1.3 imgMap
### 1.3.1. SEM
- `remove_data_zone(kept = 0.85)` :*kept*: the portion (from top) remains; returns a new instance.