semvec/pypi-packages huggingface dataset:
hytale-sharecode 1.0.1
Small Python module that decodes/encodes Hytale world share codes
License: MIT
Requires Python: <4.0,>=3.12

# hytale-sharecode

Small Python module that decodes/encodes Hytale world share codes.

A share code is:
- UTF-8 JSON
- raw DEFLATE compressed (zlib wbits = -15)
- base64 encoded

This is **not encryption**. Passwords are plaintext in the payload.

## Run demo

```bash
python -m hytale_sharecode
python scripts/demo.py
```
GenieAPI 0.1.4
Genie Music API
License: MIT
Requires Python: >=3.6
Keywords: genie, korea, lyrics, api, music

# GenieAPI

지니뮤직(genie.co.kr)의 비공식 Python API 래퍼입니다. 이 라이브러리를 사용하면 노래 검색, 실시간 차트 조회, 가사 추출, 그리고 노래 및 앨범의 상세 정보를 쉽게 가져올 수 있습니다.

## 주요 기능

-   **노래 검색:** 검색어를 통해 노래 목록과 메타데이터를 조회합니다.
-   **실시간 차트:** Top 200 실시간 차트 순위를 가져옵니다.
-   **노래 상세 정보:** 곡의 장르, 재생 시간, 작사/작곡/편곡자 등 상세 정보를 조회합니다.
-   **앨범 상세 정보:** 앨범의 아티스트, 발매일, 수록곡 목록(Tracklist) 등을 조회합니다.
-   **가사 추출:** 타임스탬프가 포함된 가사 데이터를 가져옵니다.
-   **플레이리스트:** 공개된 플레이리스트의 수록곡을 가져옵니다.

## 설치 방법

이 프로젝트는 Python 3.8 이상을 필요로 하며, 다음 라이브러리에 의존합니다:

```bash
pip install requests beautifulsoup4
```

## 사용 방법

```python
from genieapi import GenieAPI

genie = GenieAPI()

# 1. 노래 검색
songs = genie.search_song("Ditto")
if songs:
    print(f"검색 결과: {songs[0].title} - {songs[0].artist}")

# 2. 실시간 Top 200 차트 조회
chart = genie.get_chart_top200()
for entry in chart[:5]:
    print(f"{entry.rank}위: {entry.song.title} - {entry.song.artist}")

# 3. 노래 상세 정보 조회
detail = genie.get_song_detail("99570005") # Ditto 의 ID
if detail:
    print(f"제목: {detail.title}, 재생시간: {detail.duration}")
    print(f"작사가: {detail.lyricist}")

# 4. 앨범 상세 정보 조회
album = genie.get_album_detail("83325577") # NewJeans 'OMG' 앨범 ID
if album:
    print(f"앨범명: {album.title}, 아티스트: {album.artist}, 발매일: {album.release_date}")
    print("수록곡 목록:")
    for track in album.tracklist:
        print(f" - {track.title}")
```

## 프로젝트 구조

-   `genieapi/`: 메인 패키지 디렉토리
    -   `GenieAPI.py`: 네트워크 요청 및 API의 메인 엔트리 포인트
    -   `parsers.py`: HTML 파싱 로직을 담당하는 순수 함수 모듈
    -   `models.py`: 데이터 모델 (Song, Album, Lyric, ChartEntry)
    -   `Error.py`: 사용자 정의 예외 클래스

## 주의사항

이 API는 공식적인 방법이 아닌 웹 스크래핑을 통해 동작하므로, 지니뮤직 사이트의 구조 변경에 따라 동작하지 않을 수 있습니다. 교육 및 연구 목적으로만 사용하시기 바라며, 과도한 요청은 자제해 주세요.
nexus-ocean 3.0.3
🌊 AI-Powered Platform for Deep-Sea Monitoring & Cybersecurity
License: MIT
Requires Python: >=3.9
Keywords: ocean, ai, monitoring, cybersecurity, deep-sea, machine-learning

# 🌊 Nexus Ocean v3.0.0 - Quantum Intelligence Architecture

<div align="center">

![Version](https://img.shields.io/badge/version-1.0--QUANTUM-blue)
![Python](https://img.shields.io/badge/python-3.11+-green)
![License](https://img.shields.io/badge/license-MIT-orange)
![Status](https://img.shields.io/badge/status-active-success)

**Next-Generation Deep Sea Monitoring & Intelligence System**

*"From cascades to constellations - The evolution of abyssal intelligence"*

[![GitLab](https://img.shields.io/badge/GitLab-FC6D26?style=flat&logo=gitlab&logoColor=white)](https://gitlab.com/gitdeeper1/nexus-ocean)
[![PyPI](https://img.shields.io/badge/PyPI-3775A9?style=flat&logo=pypi&logoColor=white)](https://pypi.org/project/nexus-ocean)
[![Docker](https://img.shields.io/badge/Docker-2496ED?style=flat&logo=docker&logoColor=white)](https://hub.docker.com/r/gitdeeper/nexus-ocean)
[![Netlify](https://img.shields.io/badge/Netlify-00C7B7?style=flat&logo=netlify&logoColor=white)](https://nexus-ocean.netlify.app)

</div>

---

## 📖 Overview

**Nexus Ocean** is a revolutionary quantum-inspired oceanographic AI system that combines multi-layered intelligence architecture with real-time deep-sea monitoring capabilities. Built on the foundation of the **Deep Ocean** project, it represents the evolution from cascade-based systems (A→B→C→D+) to a sophisticated six-layer neural architecture (NEXUS).

The system leverages cutting-edge technologies including neuromorphic computing, quantum-inspired algorithms, and autonomous decision-making to provide comprehensive ocean monitoring, predictive analytics, and emergency response capabilities.

---

## 🎯 Key Features

- **🛡️ Multi-Sensor Fusion**: Advanced integration of pressure, acoustic, thermal, magnetic, and biosignature sensors
- **🧬 Real-Time Cognitive Processing**: Pattern recognition, anomaly detection, and contextual analysis
- **🌌 Autonomous Decision Making**: AI-powered orchestration with multi-criteria optimization and risk assessment
- **🔐 Quantum-Resistant Security**: Zero-trust architecture with post-quantum cryptography
- **🔮 Predictive Intelligence**: Long-term forecasting, trend analysis, and strategic planning
- **🌀 Emergent Intelligence**: Cross-layer integration with swarm orchestration and self-learning capabilities
- **📊 Real-Time Visualization**: 3D oceanographic dashboards with live sensor heatmaps
- **⚡ Edge-Cloud Hybrid**: Distributed computing from edge sensors to cloud analytics

---

## 🏗️ System Architecture

The **Nexus Ocean** system is built on the **NEXUS Architecture** (Neural EXtended Unified System), consisting of six intelligent layers working in harmony:

### **Layer 1: SENTINEL** 🛡️
**Sensory Environmental Neural Tracking & Intelligence Network for Exploration & Learning**

Advanced multi-sensor fusion and environmental perception layer.

**Components**:
- **HydroSense**: Pressure, temperature, salinity vectorization
- **AcousticMatrix**: 3D spatial audio mapping with ML classification
pytrinamic 0.2.21
TRINAMIC's Python Technology Access Package.
License: MIT
Requires Python: >=3.7

# PyTrinamic

PyTrinamic is a Python package to set up and control TRINAMIC modules, evaluation boards and ICs via serial, USB or CAN interfaces.

The package is intended to automate tasks that are typically done manually with TRINAMICs [TMCL-IDE](https://www.analog.com/en/resources/evaluation-hardware-and-software/motor-motion-control-software/tmcl-ide.html).

## Install

Use pip to install PyTrinamic.

```
pip install pytrinamic
```

## Getting Started

Please have a look at the [code examples on GitHub](https://github.com/analogdevicesinc/PyTrinamic/tree/master/examples).

## Migration Guide

Version 0.2.0 of PyTrinamic introduces several changes to the API. For those who want to convert code that uses an older version of PyTrinamic, we wrote a short [migration guide](https://github.com/analogdevicesinc/PyTrinamic/blob/master/docs/migration_guide.md).

All previous versions of PyTrinamic will still be available on PyPI and can be installed via: `pip install pytrinamic==0.1.27`.

## Contributing

We welcome pull requests! If you have major changes or questions about implementation, please open an issue first to discuss your ideas.

Please ensure contributed Python code adheres to the [PEP 8](https://peps.python.org/pep-0008/) Python code style guide and the [PEP 257](https://peps.python.org/pep-0257/) style guide for docstrings.
If you want to express details in docstrings using a markup language, please use [reStructuredText](reStructuredText) like proposed in [PEP 287](https://peps.python.org/pep-0287/) and when documenting parameters, variables, attributes, exceptions use the [Sphinx style](https://www.sphinx-doc.org/en/master/usage/domains/python.html#info-field-lists).

Additionally, please use double quotes (") for string constants.


## License

PyTrinamic is licensed under the MIT License.