#automata #dfa #nfa #regex #gnfa

autour_core

AUTOmata Utilities and Representation (AUTOUR) is a small toolbox to experiment with various kinds of automata and draw them

12 releases

0.1.11 Jul 4, 2024
0.1.10 Jun 4, 2023
0.1.3 May 31, 2023
0.1.1 Apr 26, 2023

#251 in Algorithms

24 downloads per month
Used in 2 crates

Apache-2.0

590KB
4K SLoC

AUTOmata Utilities and Representation (AUTOUR)

The word "Autour" in French refers to a bird. It corresponds to "Goshawk" in English.

Autour is a small toolbox to experiment with various kinds of automata and regular expressions. This project is oriented towards pedagogy rather than performances. It is still a work in progress.

Formalisms

The automata formalisms are the following :

  • Deterministic Finite Automata (DFA)
  • Nondeterministic Finite Automata (NFA)
  • Nondeterministic Finite Automata with Immediate Transitions (NFAIT) (i.e. with epsilon transitions)
  • Generalized Nondeterministic Finite Automata (GNFA) with Basic Regular Expressions (BRE) labelling transitions (not yet entirely integrated)

We can also manipulate regular expressions :

  • Basic Regular Expressions (BRE)
  • Extended Regular Expressions (ERE) (not yet entirely integrated)

Features

Automata can be drawn using GraphViz with the graphviz_dot_builder crate.

In the following we use those graphical representations to introduce some of the features of the toolbox.

Translations

Translations between the different formalisms is possible. In the example below we translate a GNFA into (from left to right) a DFA, a NFAIT and a BRE.

translation

(Co)-Accessibility

Various algorithms allow:

  • determining if an automaton is accessible
  • making it accessible
  • determining if an automaton is coaccessible
  • making it coaccessible
  • determining if an automaton is coaccessible
  • making it coaccessible

In the example below we have an initial DFA represented at the top of the image.

  • The nodes in green are both accessible and coaccessible.
  • Those in purple are accessible but not coaccessible.
  • Those in blue are coaccessible but not accessible.
  • Those in red are neither accessible nor coaccessible.

We then transform this initial DFA (from lef to right):

  • by making it accessible
  • by making it coaccessible
  • by trimming it i.e. making it both accessible and coaccessible
access

Building Automata

Means to construct terms:

  • union
  • intersection
  • concatenation
  • repetition
  • negation
  • reversion
  • etc

See some examples below :

DFA concatenation DFA kleene DFA reverse DFA interleave DFA unite
NFA unite NFA intersection

Automaton minimization

DFA

DFA minimization is implemented via Brzozowski's algorithm (reverse of the reverse).

Below is an example:

dfa minimization

NFA

NFA minimization is implemented via the Kameda-Weiner algorithm. Below are represented two examples detailing the process.

A first example:

nfa minimization example

And a second which is a NFA accepting the reverse language w.r.t. the first example (you can notice the symmetry of matrices between the two examples modulo rows and columns positions substitution):

nfa minimization reversed example

Alphabet hiding and substitution

Another thing that we can do is substitute letters or hide them.

In the example below we have an initial GNFA drawn at the top of the image. Then, from left to right:

  • we hide letter 'b' in it
  • we substitute letter 'b' by letter 'c' in it
hide

Other features

  • completion up to alphabet
  • running transitions and traces in DFA/NFA
  • etc

Dependencies

~1.1–1.7MB
~36K SLoC