SLR Parser & Compiler Frontend

A Python implementation of SLR(1) parser with GUI interface for compiler frontend development.

Features ✨

• SLR Parsing Table Generation with conflict detection
• Interactive Tkinter-based GUI for grammar analysis
• Lexical analyzer with symbol table management
• Support for logical expressions (AND/OR/NOT)
• Automatic Excel report generation for:
  • Action/Goto parsing tables
  • Closure sets visualization
  • FIRST/FOLLOW sets
• Multi-window visualization system
• Thread-safe queue implementation for parsing operations

Installation 🛠️

bash

git clone https://github.com/kcflexigbo/slr-parser-compiler-frontend.git

cd slr-parser-compiler-frontend

pip install -r requirements.txt

Requirements 📦

python

pandas

pandastable

mttkinter # For thread-safe Tkinter

xlrd # Excel file handling

Usage 🚀

bash

python main.py

1. Input Grammar in the main text editor
2. Use control buttons to:
   • Generate parsing tables
   • View closure sets
   • Analyze FIRST/FOLLOW sets
   • Detect conflicts
3. Save results to Excel/Text files through Save Files option

Project Structure 📂

. ├── Course Project/ # Main implementation

│ ├── analyzer.py # Lexical analysis core

│ ├── slrgenerator.py # SLR table generator

│ ├── filesbrowser.py # File I/O operations

│ └── main.py # GUI entry point

├── Question 1/ # Basic parser implementation

├── Question 2/ # Enhanced version with tables

├── run.bat # Windows launch script

└── .gitignore # Python/Venv exclusion rules

Example Outputs 📊

1. Action Table (Excel)
   

2. Closure Visualization

   plaintext

   Closure 0:

   S -> •EXPR

   EXPR -> •EXPR OR TERM

   EXPR -> •TERM

   ...

Contributing 🤝

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

License 📄

MIT License - See LICENSE for details

Key elements included:

1. Matches .gitignore patterns for Python projects
2. Reflects multi-directory structure from codebase
3. Highlights SLR-specific features from parsing tables
4. Includes threading requirements from mttkinter usage
5. Documents Excel I/O functionality shown in code
6. Maintains Windows compatibility (run.bat reference)