semvec/pypi-packages huggingface dataset:
CalculusOCR 0.0.3
CalculusOCR: A Vision Transformer that can perform optical character recognition on handwritten calculus expressions and outputs LaTeX code, Sympy equation and solution.
License: MIT
Keywords: artificial intelligence,image to text,calculus

# CalculusOCR


## Introduction

[CalculusOCR](https://github.com/JignasP/CalculusOCR) is a Python package designed to simplify the process of converting handwritten calculus expressions into LaTeX code, converts then into Sympy equation and solving them. 

### Key Features

1. **OCR-Powered Input:** Easily convert images containing handwritten calculus expressions into a digital format.

2. **SymPy Integration:** Utilize SymPy's mathematical capabilities to perform calculations on LaTeX code generated from handwritten expressions.

3. **Versatile Problem Handling:** Solve a wide range of calculus problems, including derivatives, integrals, limits, and complex mathematical expressions.

## Applications:
   - **Educational Materials:** Create assignments, quizzes, tests, or exams with handwritten calculus problems.
   - **Research and Reporting:** Incorporate complex calculus equations and formulas into research papers, reports, or presentations.
   - **Problem Solving:** Solve challenging calculus problems using Python .
   - **Teaching and Learning:** Enhance calculus education through interactive notebooks or online platforms.

## License

CalculusOCR is licensed under the MIT License.The full text of the MIT License in the [LICENSE](https://github.com/JignasP/CalculusOCR/blob/main/LICENSE) file.

## Installation

To install CalculusOCR using pip:

```bash
pip install CalculusOCR
```


### Importing the Package

```python
from CalculusOCR import *
```

### OCR-Powered Conversion

Convert a handwritten calculus expression image into LaTeX code:

```python
LaTeX = getlatex("<handwritten_expression.jpg>")
```

### Solving Sympy Equation

Use SymPy to perform mathematical operations:

```python
solution = sympy_solve(<SympyEquation>)
```
### Solving Calculus Problems

Use solveimage() to perform mathematical operations in the given image:

```python
SympyEqn, solution = solveimage("<calculus_expression.jpg>")
```


## Contributing
Whether you have ideas, translations, design changes, code cleaning, or even major code changes, help is always welcome. The app gets better and better with each contribution, no matter how big or small! If you'd like to get involved, check our [contribution notes](CONTRIBUTING.md).

Please note that all participants in this project are expected to follow our Code of Conduct. By participating in this project you agree to abide by its terms. See [CODE\_OF\_CONDUCT.md](CODE_OF_CONDUCT.md).
nonebot-plugin-diss-anybody 1.1.1
一个在指定的用户发言时，有几率回复指定的内容的nonebot插件
License: MIT
Requires Python: >=3.10,<4.0

<div align="center">
    <!--<img width="200" src="logo.png" alt="logo"></br>-->
<img src="https://socialify.git.ci/SherkeyXD/nonebot-plugin-diss-anybody/image?font=Raleway&forks=1&issues=1&language=1&logo=https%3A%2F%2Fraw.githubusercontent.com%2FA-kirami%2Fnonebot-plugin-template%2Fresources%2Fnbp_logo.png&name=1&owner=1&pattern=Floating%20Cogs&pulls=1&stargazers=1&theme=Auto" alt="nonebot-plugin-diss-anybody" width="640" height="320" />

# nonebot-plugin-diss-anybody

用于 [NoneBot2](https://github.com/nonebot/nonebot2) 与 [OneBot](https://onebot.dev) 的随机怼人插件

</div>

## 这是什么？

当你指定的人在群里发言时，有几率对 TA 的发言作出你指定的回复

## 安装插件

使用 nb-cli 安装（推荐）

```shell
nb plugin install nonebot-plugin-diss-anybody
```

使用 pip/pipenv/poetry/pdm 安装

```shell
# pip
pip install nonebot-plugin-diss-anybody
# pipenv
pipenv install nonebot-plugin-diss-anybody
# poetry
poetry add nonebot-plugin-diss-anybody
# pdm
pdm add nonebot-plugin-diss-anybody
```

## 配置插件

| 配置项                | 类型  | 默认值 | 说明 |
| --------------------- | ----- | ------ | ------ |
| diss_enabled          | bool  | True   | 是否启用插件 |
| diss_global_blacklist | list  | 空     | 不在这些群里做回复（全局） |
| diss_global_chance    | float | 0.1    | 回复几率（全局） |
| diss_global_cd        | float | 5.0    | 两次回复最小间隔（全局） |


## 使用插件

目前该插件的回复配置只能手动书写，将来会加入更完善的对话支持

## TODO List

- [ ] 直接通过对话设置回复内容/几率/CD
- [ ] 优化代码结构
- [ ] 支持回复图片/语音/视频等
- [ ] 迁移到 [nonebot-plugin-saa](https://github.com/MountainDash/nonebot-plugin-send-anything-anywhere) 来实现不同适配器支持
vecked 1.7.0
Vector calculations
License: MIT
Requires Python: >=3.11

# Vecked

**Vecked** is a Python package for working with vectors.

Full documentation is online at [cariad.github.io/vecked](https://cariad.github.io/vecked/).

## Installation

Vecked requires Python 3.11 or later and can be installed from [PyPI](https://pypi.org/project/vecked/).

```console
pip install vecked
```

## Contributing

Please read [CONTRIBUTING.md](https://github.com/cariad/vecked/blob/main/CONTRIBUTING.md) before raising an issue or submitting a pull request. Thank you!

## Author

Hello! 👋 I'm **Cariad Eccleston**, and I'm a freelance Amazon Web Services architect, DevOps evangelist, and infrastructure and backend engineer by the beach in the United Kingdom.

You can find me at [cariad.earth](https://cariad.earth), [github/cariad](https://github.com/cariad) and [linkedin/cariad](https://linkedin.com/in/cariad).