spot/doc/org/tut.org

Code Examples

• Examples with Shell, Python, and C++
• Examples in Python and C++
• Examples in C++ only
• Examples in Python only

This section contains code examples for using Spot. This is a work in progress. Feel free to send suggestions of small tasks you would like to see illustrated here.

If you have difficulties compiling the C++ examples, check out these instructions.

Reading the concepts page might help if you are not familiar with some of the objects manipulated here.

Examples with Shell, Python, and C++

All the following pages show how to perform the same task using the three interfaces supported by Spot: shell commands, Python, or C++.

• Parsing and Printing LTL Formulas
• Relabeling Formulas
• Testing the equivalence of two LTL formulas
• Translating an LTL formula into a never claim
• Translating an LTL formula into a monitor
• Converting a never claim into HOA
• Converting Rabin (or Other) to Büchi, and simplifying it
• Removing alternation

Examples in Python and C++

• Constructing and transforming formulas
• Custom print of an automaton
• Creating an automaton by adding states and transitions
• Creating an alternating automaton by adding states and transitions
• Iterating over alternating automata

Examples in C++ only

• Explicit vs. on-the-fly: two interfaces for exploring automata
• Implementing an on-the-fly Kripke structure

Examples in Python only

In directory python/tests, the Spot tarball contains a small collection of IPython notebooks. As the name of the directory implies, these are part of the test suite for the Python bindings, however they can be interesting to look at if you want to see more code examples.

For convenience, the following links offer static HTML renderings of these notebooks, but we strongly suggest interactively evaluating the real notebooks instead.

• formulas.ipynb covers the basics of LTL/PSL formula parsing and printing, with some light operations
• automata.ipynb covers translation from formulas to automata, automata printing, and some lights transformations
• automata-io.ipynb shows how to save and read automata from files
• randaut.ipynb shows a simple case where the randaut commands generated random automata, which are displayed in a table before and after acceptance simplification
• accparse.ipynb exercises the acceptance condition parser
• acc_cond.ipynb documents the interface for manipulating acceptance conditions
• contains.ipynb demonstrates containment checks between formulas or automata
• parity.ipynb documents algorithms for manipulating parity automata in Python
• product.ipynb shows how to re-implement the product of two automata in Python
• randltl.ipynb demonstrates a Python-version of randltl
• gen.ipynb show how to generate families of LTL formulas (as done in genltl) or automata (genaut)
• decompose.ipynb illustrates the decompose_strength(), decompose_acc_scc() and decompose_scc() functions
• testingaut.ipynb shows the steps necessary to build a testing automaton
• ltsmin-dve.ipynb loading a DiVinE model using the LTSmin interface.
• ltsmin-pml.ipynb loading a Promela model using the LTSmin interface.
• word.ipynb example for the twa_run and twa_word classes.
• highlighting.ipynb shows how to highlight states or edges in automata.
• atva16-fig2a.ipynb first example from our ATVA'16 tool paper.
• atva16-fig2b.ipynb second example from our ATVA'16 tool paper.
• alternation.ipynb examples of alternating automata.
• stutter-inv.ipynb working with stutter-invariant formulas properties.
• satmin.ipynb Python interface for SAT-based minimization of deterministic ω-automata.
• twagraph-internals.ipynb Inner workings of the twa_graph class.