semvec/pypi-packages huggingface dataset:
itkwasm-compare-meshes 0.6.0
Compare meshes and polydata for regression testing.
Requires Python: >=3.8
Keywords: emscripten, itkwasm, wasi, webassembly

# itkwasm-compare-meshes

[![PyPI version](https://badge.fury.io/py/itkwasm-compare-meshes.svg)](https://badge.fury.io/py/itkwasm-compare-meshes)

Compare meshes and polydata for regression testing.

## Installation

```sh
pip install itkwasm-compare-meshes
```
itkwasm-compare-meshes-emscripten 0.6.0
Compare meshes and polydata for regression testing.
Requires Python: >=3.8
Keywords: emscripten, itkwasm, webassembly

# itkwasm-compare-meshes-emscripten

[![PyPI version](https://badge.fury.io/py/itkwasm-compare-meshes-emscripten.svg)](https://badge.fury.io/py/itkwasm-compare-meshes-emscripten)

Compare meshes and polydata for regression testing. Emscripten implementation.

This package provides the Emscripten WebAssembly implementation. It is usually not called directly. Please use the [`itkwasm-compare-meshes`](https://pypi.org/project/itkwasm-compare-meshes/) instead.


## Installation

```sh
import micropip
await micropip.install('itkwasm-compare-meshes-emscripten')
```

## Development

```sh
pip install hatch
hatch run download-pyodide
hatch run test
```
itkwasm-compare-meshes-wasi 0.6.0
Compare meshes and polydata for regression testing.
Requires Python: >=3.8
Keywords: itkwasm, wasi, webassembly

# itkwasm-compare-meshes-wasi

[![PyPI version](https://badge.fury.io/py/itkwasm-compare-meshes-wasi.svg)](https://badge.fury.io/py/itkwasm-compare-meshes-wasi)

Compare meshes and polydata for regression testing. WASI implementation.

This package provides the WASI WebAssembly implementation. It is usually not called directly. Please use [`itkwasm-compare-meshes`](https://pypi.org/project/itkwasm-compare-meshes/) instead.


## Installation

```sh
pip install itkwasm-compare-meshes-wasi
```

## Development

```sh
pip install pytest
pip install -e .
pytest

# or
pip install hatch
hatch run test
```
reasoning-symbolic-regressor 0.1.0
LLM-enhanced symbolic regression: A reasoning-driven AI that refines equations using structured feedback and adaptive learning.
Requires Python: >=3.7

# Reasoning Symbolic Regressor

**LLM-enhanced symbolic regression:** A reasoning-driven AI that refines equations using structured feedback and adaptive learning.

## 🚀 Overview
`ReasoningSymbolicRegressor` integrates symbolic regression with LLM-powered reasoning, allowing AI to not only search for equations but also **self-correct and refine them** through structured feedback.

## 📦 Installation
You can install this package via PyPI:
```bash
pip install reasoning-symbolic-regressor
```

## 🔧 Usage
Note: Make sure your `OPENAI_API_KEY` is set.
```python
from reasoning_symbolic_regressor import ReasoningSymbolicRegressor

# Initialize the AI reasoning-driven symbolic regressor
regressor = ReasoningSymbolicRegressor(debug=True)

# Fit the model to data
regressor.fit(X, y)
```

## ✨ Features
✅ **LLM-Guided Exploration**: Dynamically adjusts search parameters using AI reasoning.  
✅ **Self-Repairing Feedback**: Detects errors in PySR configurations and prompts LLM to correct them.  
✅ **Iterative Refinement**: Improves equations over multiple guided cycles.  
✅ **Early Stopping**: Terminates when the LLM determines the correct equation has been found.  

## 🛠️ Development
To contribute or modify the project, clone the repository and install dependencies:
```bash
git clone https://github.com/sidu/ReasoningSymbolicRegressor.git
cd ReasoningSymbolicRegressor
pip install -r requirements.txt
```
## 🧪 Testing
To run the tests, use the following command:
```bash
pip install -e .
python tests/test_gravitation.py
```

## 📜 License
This project is licensed under the **MIT License**.

## 🌟 Acknowledgments
Inspired by **symbolic regression**, **LLM reasoning**, and **adaptive AI systems**.