semvec/pypi-packages huggingface dataset:
ichingpy 0.1.10
I-Ching objects construction using Python type hints.
License: MIT
Requires Python: >=3.10

# I-Ching Python
[![pypi](https://img.shields.io/badge/pypi-v0.1-blue)](https://pypi.org/project/ichingpy/)
[![codecov](https://codecov.io/gh/JinyangWang27/ichingpy/branch/main/graph/badge.svg?token=T27TSAL7BC)](https://codecov.io/gh/JinyangWang27/ichingpy)
[![license](https://img.shields.io/badge/license-MIT-g)]([LICENSE](https://github.com/JinyangWang27/ichingpy/blob/main/LICENSE))

[汉语文档由此](https://github.com/JinyangWang27/ichingpy/blob/main/README_CN.md)

[Foreword by Carl Gustav Jung](https://github.com/JinyangWang27/ichingpy/blob/main/docs/books/en/RichardWilhelm/foreword_CG_Jung.md)

## Description
I-Ching objects construction using Python type hints.

Pattern-based implementation without hard-coded mappings. Define how philosophical concepts in pure Python.

Features

1. Generating hexagrams using multiple methods (yarrow stalks, three coins, datetime), 
2. Arithmetic operations on Heavenly Stems and Earthly Branches (干支)
3. Multi-language support (Chinese and English)
3. Interpreting meanings of hexagrams   (TODO)
4. Performing divination based on the I-Ching (TODO)

## Installation

> pip install ichingpy

## Help

See [Documentation](https://jinyangwang27.github.io/ichingpy/) for more details.

## A Simple Example

```python
import ichingpy as icp
icp.set_language("en")
```
#### Arithmetic operations on Heavenly Stems and Earthly Branches (干支)

```python
icp.HeavenlyStem.Jia + 1
<HeavenlyStem.Yi: 2>

gui = icp.HeavenlyStem.Gui
jia = icp.HeavenlyStem.Jia
jia + gui 
#> <HeavenlyStem.Jia: 1>
```

```python
jia = icp.HeavenlyStem.Jia 
zi = icp.EarthlyBranch.Zi
jia_zi = icp.SexagenaryCycle(jia, zi)
jia_zi
#> Jia Zi
jia_zi+1
#> Yi Chou
jia_zi+60
#> Jia Zi
```
#### Assign Stem and Branch to a hexagram (装卦、纳甲)
```python
gou = icp.Hexagram.from_binary([2, 1, 1, 1, 1, 1]) 
gou
"""
-----
-----
-----
-----
-----
-- --
"""
assigner = icp.SixLinesDivinationEngine()
assigner.execute(gou) 
gou
"""
PARENTS  Ren  (9) Xu   (11) EARTH -----
SIBLINGS Ren  (9) Shen (9 ) METAL -----
OFFICIALSRen  (9) Wu   (7 ) FIRE  ----- OBJECT
SIBLINGS Xin  (8) You  (10) METAL -----
CHILDREN Xin  (8) Hai  (12) WATER -----
PARENTS  Xin  (8) Chou (2 ) EARTH -- -- SUBJECT
"""
```
prophet-net-anomaly 0.1.1
A Prophet-based network anomaly detection package
License: MIT
Requires Python: >=3.7

# Prophet-Net-Anomaly 🚀
A lightweight, open-source network anomaly detection package leveraging **Facebook Prophet** for time-series modeling.  
🔹 **Key Features**:  
✔ Anomaly detection based on Prophet’s upper/lower confidence bounds  
✔ **Persistence & Proximity Analysis** to minimize false positives  
✔ Optimized for network data: traffic volume, packet loss, DDoS detection  
✔ Sensitivity options to tune the model  

📌 **Getting Started**
```bash
pip install prophet-net-anomaly
```
**Project Structure**
```bash
prophet-net-anomaly/
├── src/
│   ├── prophet_net_anomaly/
│   │   ├── __init__.py
│   │   ├── anomaly_detector.py   # Core anomaly detection logic
│   │   ├── utils.py              # Helper functions (e.g., data preprocessing)
│   │   ├── visualization.py      # Functions for plotting anomalies
│   ├── tests/
│   │   ├── test_anomaly_detector.py  # Unit tests
│   │   ├── test_utils.py
│   ├── data/
│   │   ├── raw/                  # Raw network traffic data
│   │   │   ├── sample_network_data.csv
│   │   ├── processed/             # Preprocessed data files
│   │   │   ├── cleaned_data.csv
│   ├── notebooks/
│   │   ├── anomaly_detection_demo.ipynb  # Jupyter notebook example
├── examples/
│   ├── example_usage.py          # Example script demonstrating package usage
├── docs/
│   ├── README.md                 # Project documentation
│   ├── CONTRIBUTING.md           # Guidelines for contributors
├── .github/
│   ├── workflows/
│   │   ├── ci.yml                 # GitHub Actions CI/CD workflow
├── setup.py                      # Package setup script
├── requirements.txt              # Dependencies
├── LICENSE                       # Open-source license
├── .gitignore                     # Ignore unnecessary files
```