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A Python project implementing a matrix parser using PLY (Python Lex-Yacc). Recognizes and processes matrices with a specific syntax, offering flexibility and simplicity. Ideal for learning PLY in Python or as a foundation for advanced matrix-related applications.
This project implements a Python LLM-based agent capable of routing user requests to external tools, with a focus on Left-to-Right arithmetic evaluation. The agent CLI integrates tool invocation, JSON-only outputs, and robust expression handling including parentheses and syntax validation.
Syntax validation of a programming language by writing the Context Free Grammar for the specific construct of a particular language and a program for the same.
🐍 Production-ready AI code refactoring system using GraphRAG, discrete diffusion, and Tree-Sitter safety gates. Transforms natural language into safe, high-quality code with complete auditability.