semvec/pypi-packages huggingface dataset:
fc-data-utils 0.1.0
Utils function for data common tasks
Requires Python: <4.0,>=3.11

# DATA UTILS

## INSTALLATION

Create a virtual environment 
```bash
conda create -n env_name
conda activate env_name 
```

Install poetry and the package in your environment
```bash
pip install poetry
poetry install
```

## INSTALL IN ANOTHER PROJECT

Insert the following snippet into your pip.conf (default location is `~/.pip/pip.conf`)

```toml
[global]
extra-index-url = https://europe-west1-python.pkg.dev/foodcheri-gae/fc-python/simple/
```

Now you can install the package using pip in any environment
```bash
pip install data-utils
```

```bash
poetry source add gcp https://europe-west1-python.pkg.dev/foodcheri-gae/fc-python/simple --priority=explicit
2. Ajouter la dépendance en précisant le repository
poetry add my-package --source=gcp
```
cctv-detector 0.1.1
CCTV智能检测系统 - 基于YOLOv8的对象检测与警报系统
Requires Python: >=3.7

# CCTV 智能检测系统

基于 YOLOv8 的对象检测与警报系统，专为货舱监控设计。

## 功能特点

- 对象检测：支持人员、船只、机械等目标检测
- 货舱覆盖状态检测：已覆盖/部分覆盖/未覆盖
- 智能警报：自动检测并报警可疑情况
- 摄像头异常检测
- Web界面：友好的可视化界面
- JSON输出：标准化的检测结果输出

## 安装方法

```bash
pip install -e .
```

## 使用方法

### 1. 作为Python包使用

```python
from cctv_detector import DetectionProcessor

# 创建检测器
detector = DetectionProcessor(
    model_path="models/segment_best228.pt",
    conf=0.25,
    iou=0.45,
    device="cuda"
)

# 处理图像
result = detector.process_image("test.jpg")
print(result)
```

### 2. 运行Web应用

```python
from cctv_detector import run_webapp

# 运行Web应用
run_webapp(model_path="models/segment_best228.pt")
```

## 目录结构

```
cctv_detector/
├── src/
│   └── cctv_detector/
│       ├── __init__.py
│       ├── detector.py      # 检测器核心模块
│       ├── visualizer.py    # 可视化模块
│       └── webapp.py        # Web应用模块
├── examples/
│   ├── run_detection.py     # 检测示例
│   └── run_webapp.py        # Web应用示例
├── models/
│   └── segment_best228.pt   # 预训练模型
└── setup.py                 # 包配置文件
```

## 依赖要求

- Python >= 3.7
- PyTorch >= 1.9.0
- Ultralytics >= 8.0.0
- OpenCV >= 4.5.0
- Streamlit == 1.24.0
- 其他依赖见 setup.py

## 注意事项

1. 首次运行前请确保已安装所有依赖
2. 使用GPU加速需要安装CUDA支持的PyTorch版本
3. 模型文件需要放在正确的位置

## 许可证

MIT License
pysandboxing 0.1.4
A Python module for sandboxing code with restricted imports and timeout enforcement (Linux/macOS only)
Requires Python: >=3.6
Keywords: sandboxing security

# PySandboxing

PySandboxing is a Python module for sandboxing code with restricted imports and timeout enforcement. It prevents the execution of dangerous built-in functions and restricts the import of certain modules to enhance security. Sort of...


## Installation

### From PyPI

```sh
pip install pysandboxing
```

### From Source

To install PySandboxing, clone the repository and run the setup script:

```sh
git clone https://github.com/libardoram/pysandboxing.git
cd pysandboxing
python setup.py install
```

## Example Usage

To use `pysandboxing` in your Python code, simply import the module at the beginning of your script:

```python
import pysandboxing.sandbox  

while True:
 print("This will be stopped after the timeout!")
```


```python
import pysandboxing.sandbox as sandbox

import subprocess

subprocess.run(["ls", "-l"])

```

You can also set an environment variable PYSANDBOX_TIMEOUT to specify the timeout duration in seconds. For example, to set a timeout of 6 seconds:

```sh
export PYSANDBOX_TIMEOUT=6
```

## Features

1. Disables dangerous built-in functions (exec, eval, open).
2. Restricts the import of certain modules to prevent security risks.
3. Enforces a timeout to stop possible infinite loops.

## License
This project is licensed under the MIT License. See the LICENSE file for details.

## Author
Libardo Ramirez Tirado - libar@libardoramirez.com
luna-alimtalk 0.1.0
luna alimtalk api package
Requires Python: <4.0,>=3.9

# luna-alimtalk
루나소프트 알림톡 API 패키지

- 샘플 코드
```python
import asyncio

from luna_alimtalk import Luna


async def main():
    luna = Luna(userid='유저 아이디', api_key='API 키')
    response = await luna.send_with_phone(
        contacts='010xxxxxxxx',
        template_id='템플릿 아이디',
        message='{name}님의 회원가입 정보 안내드립니다.\n\n{shop_name} ID : {user_id}\n\n{shop_name} {url}\n고객센터 {tel}',
        params={
                'name': '홍길동',
                'shop_name': '테스트',
                'user_id': 'hong44444',
                'url': 'https://test.co.kr',
                'tel': '010xxxxxxxx',
        },
        urls={
            'url_pc': 'https://test.co.kr',
            'url_mobile': 'https://test.co.kr',
        }
    )
    print(response.status_code)
    print(response.json())


if __name__ == '__main__':
    asyncio.run(main())
```
cs_util 0.1.4
Utility library for CosmoStat
Requires Python: <3.13,>=3.11

# cs_util package

Utility library for CosmoStat

| Usage | Development | Release |
| ----- | ----------- | ------- |
| [![docs](https://img.shields.io/badge/docs-Sphinx-blue)](https://martinkilbinger.github.io/cs_util/) | [![build](https://github.com/martinkilbinger/cs_util/workflows/CI/badge.svg)](https://github.com/martinkilbinger/cs_util/actions?query=workflow%3ACI) | [![release](https://img.shields.io/github/v/release/martinkilbinger/cs_util)](https://github.com/martinkilbinger/cs_util/releases/latest) |
| [![license](https://img.shields.io/github/license/martinkilbinger/cs_util)](https://github.com/martinkilbinger/cs_util/blob/master/LICENCE.txt) | [![deploy](https://github.com/martinkilbinger/cs_util/workflows/CD/badge.svg)](https://github.com/martinkilbinger/cs_util/actions?query=workflow%3ACD) | [![pypi](https://img.shields.io/pypi/v/cs_util)](https://pypi.org/project/cs_util/) |
| [![wemake-python-styleguide](https://img.shields.io/badge/style-wemake-000000.svg)](https://github.com/wemake-services/wemake-python-styleguide) | [![codecov](https://codecov.io/gh/martinkilbinger/cs_util/branch/master/graph/badge.svg?token=XHJIQXV7AX)](https://codecov.io/gh/martinkilbinger/cs_util) | [![python](https://img.shields.io/pypi/pyversions/cs_util)](https://www.python.org/downloads/source/) |
| [![contribute](https://img.shields.io/badge/contribute-read-lightgrey)](https://github.com/martinkilbinger/cs_util/blob/master/CONTRIBUTING.md) | [![CodeFactor](https://www.codefactor.io/repository/github/martinkilbinger/cs_util/badge)](https://www.codefactor.io/repository/github/martinkilbinger/cs_util) | |
| [![coc](https://img.shields.io/badge/conduct-read-lightgrey)](https://github.com/martinkilbinger/cs_util/blob/master/CODE_OF_CONDUCT.md) | [![Updates](https://pyup.io/repos/github/martinkilbinger/cs_util/shield.svg)](https://pyup.io/repos/github/martinkilbinger/cs_util/) | |

---
> Author: <a href="www.cosmostat.org/people/kilbinger/" target="_blank" style="text-decoration:none; color: #F08080">Martin Kilbinger</a>  
> Email: <a href="mailto:martin.kilbinger@cea.fr" style="text-decoration:none; color: #F08080">martin.kilbinger@cea.fr</a>  
> Year: 2022  
---



## Contents

### Library

- Galaxy catalogue handling
- Weak-lensing related cosmological quantities (e.g. surface mass density)
- VOS (Virtual Observatory Software)
- Command line logging
- Plotting
- Basic statistic calculations
- UNIONS/CFIS weak-lensing survey handling
genwiki2024 0.0.4
nicesprinkler
Requires Python: >=3.9
Keywords: genealogy, mediawiki, nicegui, semantic

# genwiki2024
Semantification of Genealogy

[![pypi](https://img.shields.io/pypi/pyversions/genwiki2024)](https://pypi.org/project/genwiki2024/)
[![Github Actions Build](https://github.com/WolfgangFahl/genwiki2024/actions/workflows/build.yml/badge.svg)](https://github.com/WolfgangFahl/genwiki2024/actions/workflows/build.yml)
[![PyPI Status](https://img.shields.io/pypi/v/genwiki2024.svg)](https://pypi.python.org/pypi/genwiki2024/)
[![GitHub issues](https://img.shields.io/github/issues/WolfgangFahl/genwiki2024.svg)](https://github.com/WolfgangFahl/genwiki2024/issues)
[![GitHub closed issues](https://img.shields.io/github/issues-closed/WolfgangFahl/genwiki2024.svg)](https://github.com/WolfgangFahl/genwiki2024/issues/?q=is%3Aissue+is%3Aclosed)
[![API Docs](https://img.shields.io/badge/API-Documentation-blue)](https://WolfgangFahl.github.io/genwiki2024/)
[![License](https://img.shields.io/github/license/WolfgangFahl/genwiki2024.svg)](https://www.apache.org/licenses/LICENSE-2.0)

## Demo/Simulation
[Demo](http://genwiki2024.bitplan.com/)

## Documentation
- [Wiki](https://wiki.bitplan.com/index.php/Genwiki2024)
- [DjVu catalog and Viewer](https://wiki.bitplan.com/index.php/Genwiki2024#djvu_catalog_and_remote_viewer)