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🕷️ QUMO - Quantum Unicode Machine Optimizer for Python - A next-generation code optimization framework that combines quantum computing principles, Unicode patterns, and machine-first design. QUMO transforms Python code using AST/CST transformations, and graph-based flow analysis to create highly efficient machine-optimized code.

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QUMO Logo QUMO - Quantum Unicode Machine Optimizer

PyPI version Python License: MIT Code style: ruff

A next-generation code optimization framework that combines quantum-inspired patterns with Unicode optimization to create highly efficient, machine-first Python code. QUMO leverages quantum computing principles, advanced AST/CST transformations, and Unicode patterns to optimize Python code for both machine processing and human readability.

QUMO Demo

🌟 Features

  • 🔄 Quantum-inspired code transformations
  • 🔤 Unicode pattern optimization
  • 📊 Graph-based flow analysis
  • 🔍 AST and CST transformations
  • 🎯 Machine-first optimization principles
  • 🛠️ Command-line interface with rich output

Installation

# From GitHub
git clone https://github.com/abcdqfr/qumo.git
cd qumo
pip install -e .

# Or via pip
pip install git+https://github.com/abcdqfr/qumo.git

Usage

Command Line

Optimize a Python file:

qumo optimize input.py -o output.py

Show diff between original and optimized code:

qumo optimize input.py --diff

Show version:

qumo version

Python API

from qumo import optimize_code

# Optimize code
source = '''
def calculate(x, y):
    return x + y
'''

optimized = optimize_code(source)
print(optimized)

Optimization Patterns

Unicode Patterns

  • Self reference:
  • Path handling:
  • Window/UI:
  • List operations: ʟ
  • Quantum state: ψ

Quantum Operations

  • Bra-Ket notation: ⟨ψ|H|ψ⟩
  • Tensor product:
  • Direct sum:
  • Conjugate:

Flow Control

  • Implies:
  • Maps to:
  • Composition:
  • Universal quantifier:
  • Existential quantifier:

Development

Setup

# Clone repository
git clone https://github.com/brandon/qumo.git
cd qumo

# Install dependencies
pip install -e ".[dev]"

Testing

pytest

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

MIT License - see LICENSE for details

Acknowledgments

  • Inspired by quantum computing principles
  • Built with modern Python tooling
  • Powered by libcst, ast, sympy, and networkx

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🕷️ QUMO - Quantum Unicode Machine Optimizer for Python - A next-generation code optimization framework that combines quantum computing principles, Unicode patterns, and machine-first design. QUMO transforms Python code using AST/CST transformations, and graph-based flow analysis to create highly efficient machine-optimized code.

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