atomataGenerator

This project provides a Python-based tool for converting Non-Deterministic Finite Automata (NFA) to Deterministic Finite Automata (DFA) and subsequently minimizing the resulting DFA. It also includes functionality for converting regular expressions to NFAs.

Files • Features • How To Use

Files

• afn2afd.py:

  • Contains the NFA to DFA converter class.

• main.py:

  • The main application file that orchestrates the entire process, including input processing, NFA to DFA conversion, and minimization.

• minAFD.py:

  • Implements the AFDMinimizer class responsible for DFA minimization.

• regex2afn.py:

  • Defines the Regex2AFNConverter class for converting regular expressions to NFAs.

• regexToPostfix.py:

  • Implements the Shunting Yard algorithm for converting regular expressions to postfix notation.

Features

The main features of the application include:

• Regex to NFA Conversion:

  • Converts a postfix regular expression into a Non-deterministic Finite Automaton (NFA).
  • Utilizes the Shunting Yard algorithm for parsing and evaluating postfix expressions.
  • Generates NFA states, transitions, and handles epsilon (ε) transitions.

• NFA to DFA Conversion:

  • Converts the Non-deterministic Finite Automaton (NFA) into a Deterministic Finite Automaton (DFA).
  • Computes epsilon closures and minimizes the number of states in the DFA.
  • Allows for processing input strings and determining their acceptance based on the DFA.

• DFA Minimization:

  • Minimizes the Deterministic Finite Automaton (DFA) to reduce the number of states while preserving language recognition.
  • Implements the Shunting Yard algorithm to evaluate regular expressions and convert them to postfix notation.

• Readable Output:

  • Provides clear and structured output, including information on states, symbols, transitions, the start state, and accept states.
  • Enables easy interpretation of automaton components for debugging and analysis.

How To Use

To clone and run this application, you'll need Git and Python installed on your computer. From your command line:

# Clone this repository
$ git clone https://github.com/bl33h/automataGenerator

# Open the folder
$ cd src

# Run de app
$ python main.py