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zlktree: implement ACD and its transform

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A quick and dirty implementation of the Alternating Cycle
Decomposition of the casares.21.icalp paper.

* spot/twaalgos/genem.cc, spot/twaalgos/genem.hh
(maximal_accepting_loops_for_scc): New function.
* spot/twaalgos/sccinfo.cc,
spot/twaalgos/sccinfo.hh (scc_and_mark_filter): Add a possibility to
specify a mask of transition to filter.
* spot/twaalgos/zlktree.hh, spot/twaalgos/zlktree.cc (acd): New class.
(acd_transform): New function.
* python/spot/__init__.py: Add SVG rendering for acd.
* tests/python/_zlktree.ipynb: Play with acd and acd_transform.
* tests/python/toparity.py: Add more tests to compare the
sizes of acd_transform and to_parity.
* NEWS: Mention this new feature.
This commit is contained in:
Alexandre Duret-Lutz 2021-08-09 15:22:17 +02:00
parent 8c5bb6c2eb
commit 26f2179805
10 changed files with 4657 additions and 144 deletions
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NEWS
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@ -232,9 +232,15 @@ New in spot 2.9.8.dev (not yet released)
have been merged (and therefore removed from the automaton).
- spot::zielonka_tree is a new class that can be constructed from
any acceptance condition to help paritizing it. This is based on
a paper by Casares et al. (ICALP'21). Its python binding will
display the tree graphically.
any acceptance condition to help paritizing it.
spot::zielonka_tree_transform() will paritize an automaton using
the Zielong Tree of its acceptance. Similarly, spot::acd class
implement the Alternating Cycle Decomposition of any automaton.
The spot::acd_transform() function uses it to paritize any
automaton optimally. These two transformations are based on a
paper by Casares et al. (ICALP'21). The python bindings for
spot.zielonka_tree and spot.acd will display those structure
graphically, making it easier to explore those concepts.
Python: