Metadata-Version: 2.2
Name: optimation
Version: 2.0
Summary: A Python library for iterative variable weighting and optimation
Author: Sourceduty
Author-email: Sourceduty <sourceduty@gmail.com>
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Dynamic: author
Dynamic: requires-python

# Optimation Framework v2.0

Optimation is a flexible framework for iterative variable weighting, balancing trade-offs, and adaptive decision-making.

## Installation

```
pip install optimation
```

## Core Features
- **Variable Weighting & Balance**
- **Exponential & Trade-Off Adjustments**
- **Quantum-Inspired Optimation Techniques**

### **Basic Usage**
```python
from optimation.logic import balance_variables

result = balance_variables(A=10, B=20, weight_A=70)
print(result)  # Outputs optimized result
```

### **Advanced Quantum Optimation**
```python
from optimation.quantum import quantum_superposition

result = quantum_superposition(A=10, B=20, weight_A=70)
print(result)  # Outputs quantum-adjusted variables
```

## Running Tests
Run unit tests using:
```
python -m unittest discover optimation/tests
```
