gridhead / re2fa-converter

A Qt 5 Python GUI application for converting regular expressions to a finite automaton

re2fa-converter

A Python GUI application for converting regular expressions to finite automata

Usage

1. Install and upgrade virtualenv if not already done by executing pip3 install virtualenv --user
2. Clone the repository on your local drive and make it your current working directory
3. Create a virtual environment by executing virtualenv venv
4. Activate the virtual environment by executing source venv/bin/activate
5. Install all dependencies for the project by executing pip3 install -r requirements.txt
6. Run the project by executing python3 IndexApplication.py
7. Type in any regular expression and watch it transform into a finite automata
8. When done tinkering, deactivate the virtual environment by executing deactivate
9. Give stars to the repository if it was helpful

Bugs

1. Calculating minimized DFA will most likely result in a wrong answer.
2. Window will flicker on Wayland sessions. Try using Xorg as much as possible.

Contribute

Fork, add, build and make a PR. You know the drill.

re2fa-converter's Issues

Wrongly calculated minimized DFA values

It is highly likely that calculating a minimized DFA would get you a wrong answer.

Package the assets of the project in an executable binary

Use PyInstaller. Make sure that the binary is compliant to Python 3.8.

DFA calculations for bigger regular expressions are truncated

Add CONTRIBUTING.md and CODE_OF_CONDUCT.md

In the spirit of getting more contributors to the project, the above documents would be appreciated.

Version bump for the dependencies in requirement list

This should be easy. Run a requirement check, and update the list with newer versions of dependencies.

Make the UI elements scalable in response to resizing

The UI elements are expected to scale uniformly with respect to resizing.