Annonce

annonce@lrde.epita.fr

564 discussions

by Didier Verna

Hello, I'm happy to announce the release of DoX version 2.4. What's new in this version: * Improve AUCTeX support. * Fix spurious spaces in index entries Grab it directly here: http://www.lrde.epita.fr/~didier/software/latex.php#dox or wait until it propagates through CTAN... -- Resistance is futile. You will be jazzimilated. Lisp, Jazz, Aïkido: http://www.didierverna.info

7 years, 3 months

[Seminaire-LRDE] Séminaire du LRDE le mercredi 13 décembre 2017: Camille Couprie, Facebook AI research

by Guillaume Tochon

Chers collègues, La prochaine session du séminaire Performance et Généricité du LRDE (Laboratoire de Recherche et Développement de l'EPITA) aura lieu le Mercredi 13 décembre 2017 (11h--12h), Amphi 4 de l'EPITA. Vous trouverez sur le site du séminaire [1] les prochaines séances, les résumés, captations vidéos et planches des exposés précédents [2], le détail de cette séance [3] ainsi que le plan d'accès [4]. [1] http://seminaire.lrde.epita.fr [2] http://seminaire.lrde.epita.fr/Archives [3] http://seminaire.lrde.epita.fr/2017-12-13 [4] http://www.lrde.epita.fr/wiki/Contact Au programme du Mercredi 13 décembre 2017 : * 11h--12h: Vers l'apprentissage d'un sens commun visuel -- Camille Couprie, Facebook AI research https://perso.esiee.fr/~coupriec/ Les réseaux de neurones convolutifs connaissent depuis quelques années un franc succès dans de nombreuses applications de reconnaissance visuelle. Nous reviendrons sur les premiers travaux en la matière en segmentation sémantique (étiquetage de chaque pixel des images par une catégorie sémantique). Nous explorerons ensuite une piste d'amélioration visant à réduire la quantité de données labelisées utilisée, à base d'entraînement de réseaux adversaires. Dans un second temps, nous nous intéresserons au problème de la prédiction d'images suivantes dans les vidéos: s'il nous parait simple d'anticiper ce qu'il va se passer dans un futur très proche, c'est un problème difficile à modéliser mathématiquement étant données les multiples sources d'incertitude. Nous présenterons nos travaux de prédiction dans le domaine des images naturelles, puis dans l'espace plus haut niveau des segmentations sémantiques, nous permettant de prédire plus loin dans le futur. -- Camille Couprie est chercheuse à Facebook Artificial Intelligence Research. Elle a obtenu son doctorat en informatique de l'Université Paris Est en 2011, sous la direction de Hugues Talbot, Laurent Najman et Leo Grady, avec une recherche spécialisée dans la formulation et l'optimisation de problèmes de vision par ordinateur dans les graphes. En 2012, elle a travaillé comme postdoc a l'institut Courant de New York University avec Yann LeCun. Après un poste IFP new energies, organisme de recherche français actif dans les domaines de l'énergie, des transports et de l'environnement, elle a rejoint Facebook en 2015. L'entrée du séminaire est libre. Merci de bien vouloir diffuser cette information le plus largement possible. N'hésitez pas à nous faire parvenir vos suggestions d'orateurs. -- Guillaume TOCHON Maître de conférences // Assistant Professor LRDE, EPITA 18, rue Pasteur 94270 Le Kremlin-Bicêtre _______________________________________________ Seminaire mailing list Seminaire(a)lrde.epita.fr https://lists.lrde.epita.fr/listinfo/seminaire

7 years, 4 months

[Seminaire-LRDE] Séminaire du LRDE le mercredi 29 novembre 2017: Barbara Jobstmann, Cadence Design Systems

by Guillaume Tochon

Chers collègues, La prochaine session du séminaire Performance et Généricité du LRDE (Laboratoire de Recherche et Développement de l'EPITA) aura lieu le Mercredi 29 novembre 2017 (10h--11h), Amphi 4 de l'EPITA. Vous trouverez sur le site du séminaire [1] les prochaines séances, les résumés, captations vidéos et planches des exposés précédents [2], le détail de cette séance [3] ainsi que le plan d'accès [4]. [1] http://seminaire.lrde.epita.fr [2] http://seminaire.lrde.epita.fr/Archives [3] http://seminaire.lrde.epita.fr/2017-11-29 [4] http://www.lrde.epita.fr/wiki/Contact Au programme du Mercredi 29 novembre 2017 : * 10h--11h: Industrial Formal Verification – Cadence’s JasperGold Formal Verification Platform -- Barbara Jobstmann, Cadence Design Systems Formal verification (aka Symbolic Model Checking) is becoming a mainstream technology in system on a chip (SoC)/intellectual property design and verification methodologies. In the past, the usage of formal verification was limited to a small range of applications; it was mainly used to verify complex protocols or intrinsic logic functionality by formal verification experts. In recent years, we saw a rapid adoption of formal verification technology and many new application areas, such as checking of configuration and status register accesses, SoC connectivity verification, low power design verification, security applications, and many more. In this talk, we give an overview of the JasperGold Formal Verification Platform. The platform provides a wide range of formal apps, which ease adoption of formal verification by offering property generation and other targeted capabilities for specific design and verification tasks. In addition, JasperGold offers a unique interactive debug environment (called Visualize) that allows the user to easily analyze the verification results. We present JasperGold from a user’s point of view, showcase selected apps, and discuss features that were essential for their wide adoption. -- Barbara Jobstmann is a field application engineer for Cadence Design Systems and a lecturer at the École Polytechnique Fédérale de Lausanne (EPFL). She joined Cadence in 2014 through the acquisition of Jasper Design Automation, where she worked since 2012 as an application engineer. In the past, she was also a CNRS researcher (chargé de recherche) in Verimag, an academic research laboratory belonging to the CNRS and the Communauté Université Grenoble Alpes in France. Her research focused on constructing correct and reliable computer systems using formal verification and synthesis techniques. She received a Ph.D. degree in Computer Science from the University of Technology in Graz, Austria in 2007. L'entrée du séminaire est libre. Merci de bien vouloir diffuser cette information le plus largement possible. N'hésitez pas à nous faire parvenir vos suggestions d'orateurs. -- Guillaume TOCHON Maître de conférences // Assistant Professor LRDE, EPITA 18, rue Pasteur 94270 Le Kremlin-Bicêtre _______________________________________________ Seminaire mailing list Seminaire(a)lrde.epita.fr https://lists.lrde.epita.fr/listinfo/seminaire

7 years, 4 months

Vcsn 2.6 is released!

by Akim Demaille

The Vcsn team is happy to announce the long overdue release of Vcsn 2.6. Most of our work was devoted to providing a better, smoother, user experience. This includes improvements in the build system, better performances, extended consistency, and more legible error messages. Multitape expressions also received a lot of attention. For more information see the detailed news below. We warmly thank our users who made valuable feedback (read "bug reports") including Victor Miller, Dominique Soudière and Harald Schilly. Dominique and Harald helped integrating Vcsn into CoCalc (formerly SageMathCloud). People who contributed to this release: - Akim Demaille - Clément Démoulins - Clément Gillard - Sarasvati Moutoucomarapoulé Our next stop should be Vcsn 3.0, which will include extensive changes from Sarasvati. Release page: https://vcsn.lrde.epita.fr/Vcsn2.6 Tarball: https://www.lrde.epita.fr/dload/vcsn/2.6/vcsn-2.6.tar.bz2 Home page: https://vcsn.lrde.epita.fr The various packages (Docker, Debian, MacPorts, etc.) will appear soon. ## New features ### Promotion from single to multitape It is now possible to mix single-tape expressions with multitape expressions. This is especially handy when using labels classes (`[abc]`). For instance: In [2]: zmin2 = vcsn.context('lat<lan, lan>, zmin') In [3]: zmin2.expression(r'([ab] + ⟨1⟩(\e|[ab] + [ab]|\e))*') Out[3]: (a|a+b|b+<1>(\e|(a+b)+(a+b)|\e))* is a easy means to specify an expression generating an automaton that computes the edit-distance (between words or languages). Or, with a wide alphabet: In [4]: zmin = vcsn.context('lan(a-z), zmin') In [5]: zmin2 = zmin | zmin In [6]: zmin2 Out[6]: {abcdefghijklmnopqrstuvwxyz}? x {abcdefghijklmnopqrstuvwxyz}? -> Zmin In [7]: zmin2.expression(r'([^] + ⟨1⟩(\e|[^] + [^]|\e))*') In the future the display of expressions will also exploit this approach. ### vcsn compile now links with precompiled contexts If you write a program using dyn::, then it will benefit from all the precompiled algorithms. ### vcsn compile now supports --debug Use this to avoid the removal of intermediate object files. On some platforms, such as macOS, the object file contains the debug symbols, so their removal makes the use of a debug harder. ### vcsn compile now uses -rpath Programs/libraries generated by `vcsn compile` needed to be told where the Vcsn libraries were installed. In practice, it meant that `vcsn run` was needed to execute this program, and in some situations it was not even sufficient. Now, `vcsn compile my-prog.cc` generates `my-prog` which can be run directly. ### random_expression supports the tuple operator It is now possible to generate multitape expressions such as `(a|x*)*`. Before, random_expression was limited to expressions on multitape labels such as `(a|x)*`. In [1]: import vcsn In [2]: c = vcsn.context('lan(abc), q') In [3]: c2 = c | c In [4]: for i in range(10): ...: e = c2.random_expression('|, +, ., *=.2, w.=.2, w="min=-2, max=2"', length=10) ...: print('{:u}'.format(e)) ...: a|a+(ε|b)*+⟨1/2⟩ε|ε (ε+c)a|(⟨2⟩ε+c) (ε|b+(c|a)*)* ε|a+a|b c|b+⟨2⟩ε|(ε+b) ε|a+((a|ε)(ε|b)(ε|c))*(b|ε) (a|b+c|ε)(a|b) ε*|ε ε+a|a+⟨2⟩(b|ε) (ε+ε*)|ε Generating expressions with compose operators is also supported. In [5]: for i in range(10): ...: e = c2.random_expression('|=.5, +, ., @=2', length=10, identities='none') ...: print('{:u}'.format(e)) ...: ((b|ε)ε)(ε(ε|a)) ε(ε|c)+((ε|a)(a|b)+ε|c) ((ε|a)(ε|b))((b|a)(c|c)@b|b) (b|b@ε+a|b)@(c|ε@b|ε) (ε+ε|a)@(ε|c@ε|a+b|ε) (ε|a+ε|c)((ε|b)(c|ε)) (a|ε)((ε+c)|(a+ε)) c|ε@(a|ε)(ε|b@b|ε) (ε+ε|b)@ε|b+ε|a b(ε²)|((ε+ε)+a) ### New algorithms A few algorithms were added: - context.compose Composing `{abc} x {xyz}` with `{xyz} x {ABC}` gives, of course, `{abc} x {ABC}`. - expansion.normalize, expansion.determinize These are rather low-level features. The latter is used internally when derived-term is asked for a deterministic automaton. - expansion.expression The "projection" of an expansion as an expression. - label.compose For instance `a|b|x @ x|c` -> `a|b|c`. - polynomial.compose Additive extension of monomial composition. For instance composing `a|e|x + a|e|y + a|e|\e` with `x|E|A + y|E|A + \e|E|A` gives `<3>a|e|E|A`. - polynomial.shuffle and polynomial.infiltrate The missing siblings of polynomial.conjunction. ### Doxygen is no longer needed By default, `make install` generated and installed the C++ API documentation using Doxygen. It is now disabled by default, pass `--enable-doxygen` to `configure` to restore it. ## Bug Fixes ### Severe performance regression when reading daut Version 2.5 introduced a large penalty when reading daut files, especially large ones. ### Tupling of automata could be wrong on weights As a consequence, `expression.inductive` was also producing incorrect automata from multitape expressions. ### Polynomials featuring the zero-label Under some circumstances it was possible to have polynomials featuring monomials whose label is the zero of the labelset (e.g., `\z` with expressions as labels). This is fixed. ### Portability issues Newest compilers are now properly supported. ## Changes ### Divisions The division of expressions and automata now compute the product of the weights, not their quotient. ### Handling of the compose operator The support of the compose operators in expansions was completely rewritten. As a result, the derived-term automata are often much smaller, since many useless states (non coaccessible) are no longer generated. For instance the derived-term automaton of `(\e|a)* @ (aa|\e)*` has exactly two states. It used to have three additional useless states. ### Better diagnostics Many error messages have been improved. The Daut automaton format now treats `->` as a keyword, so `0->1 a` is now properly read instead of producing a weird error message because Vcsn thought your state was named `0->1`.

7 years, 4 months

[Seminaire-LRDE] Séminaire du LRDE le mercredi 8 novembre 2017: Jean-François Mangin & Edouard Duchesnay, NeuroSpin, CEA, Paris-Saclay

by Guillaume Tochon

Chers collègues, La prochaine session du séminaire Performance et Généricité du LRDE (Laboratoire de Recherche et Développement de l'EPITA) aura lieu le Mercredi 8 novembre 2017 (10h--12h), Amphi 4 de l'EPITA. Vous trouverez sur le site du séminaire [1] les prochaines séances, les résumés, captations vidéos et planches des exposés précédents [2], le détail de cette séance [3] ainsi que le plan d'accès [4]. [1] http://seminaire.lrde.epita.fr [2] http://seminaire.lrde.epita.fr/Archives [3] http://seminaire.lrde.epita.fr/2017-11-08 [4] http://www.lrde.epita.fr/wiki/Contact Au programme du Mercredi 8 novembre 2017 : * 10h--11h: Lire les lignes du cerveau humain -- Jean-François Mangin, NeuroSpin, CEA, Paris-Saclay www.cati-neuroimaging.com La lecture des lignes de la main est une activité ancestrale sans fondement scientifique, même si certains motifs sont associés à des malformations congénitales comme la trisomie 21. Cette conférence décrira l’émergence d’une véritable science de la lecture des « lignes du cerveau humain », qu’il s’agisse des plissements de son cortex ou de la trajectoire des faisceaux de fibres qui constituent son câblage à longue distance. Des formes inhabituelles de ces plissements ou de ces faisceaux sont parfois la trace d’anomalies développementales susceptibles d’augmenter le risque de développer certaines pathologies. -- Jean-François Mangin est directeur de recherche au CEA. Il y dirige un groupe de recherche algorithmique en neuro-imagerie au sein du centre Neurospin, la plateforme IRM en champs intenses du CEA. Il est aussi directeur du CATI, la plateforme française créée par le plan Alzheimer pour prendre en charge les grandes études de neuroimagerie multicentriques. Il est enfin codirecteur du sous-projet «Human Strategic Data» du Human Brain Project, le plus vaste projet de recherche de la commission européenne. Il est ingénieur de l’Ecole Centrale Paris et Docteur de Télécom ParisTech. Son programme de recherche vise au développement d’outils de vision par ordinateur dédiés à l’interprétation des images cérébrales. Son équipe s’intéresse en particulier aux anomalies des plissements ou de la connectivité du cortex associées aux pathologies. Elle distribue les outils logiciels issus de cette recherche à la communauté. * 11h--12h: Apprentissage automatique en neuroimagerie: application aux maladies cérébrales -- Edouard Duchesnay, NeuroSpin, CEA, Paris-Saclay Home page: https://duchesnay.github.io/ L'apprentissage automatique, ou "pattern recognition" multivarié, peut identifier des motifs complexes, associés à une variable d'intérêt, et ce, dans des données de grandes dimensions. Une fois l'apprentissage effectué par l'algorithme, il est appliqué à un nouvel individu afin de prédire l'évolution future de ce dernier. L'imagerie par résonance magnétique (IRM) fournit une approche efficace et non invasive pour étudier les changements structurels et fonctionnels du cerveau, associés aux conditions cliniques des patients. En combinant apprentissage automatique et imagerie cérébrale, il est possible de considérer l'émergence d'une médecine personnalisée, où les algorithmes ont appris du passé à prédire la réponse probable et future d'un patient donné à un traitement spécifique. Ces nouvelles informations guideront le clinicien dans ses choix thérapeutiques. Nous présenterons la complexité des données IRM manipulées, les algorithmes d'apprentissage et leurs applications aux maladies cérébrales. -- Edouard Duchesnay a obtenu un diplôme d'ingénieur en génie logiciel de l'EPITA en 1997 (spécialisation SCIA), puis un master et un doctorat en traitement du signal et des images de l'Université de Rennes 1, respectivement en 1998 et 2001. Depuis 2008, il est chargé de recherche chez Neurospin, le centre de neuroimagerie par IRM du CEA. Il développe des algorithmes d'apprentissage automatique fournissant des outils de diagnostic et pronostic ou des méthodes de découverte de biomarqueurs pour les maladies du cerveau. E. Duchesnay est un contributeur majeur de la bibliothèque d'apprentissage automatique ParsimonY de Python, dédiée aux données structurées de grandes dimensions, telles que l'imagerie cérébrale ou les données génétiques. Il a également contribué à la bibliothèque d'apprentissage automatique scikit-learn de Python. L'entrée du séminaire est libre. Merci de bien vouloir diffuser cette information le plus largement possible. N'hésitez pas à nous faire parvenir vos suggestions d'orateurs. -- Guillaume TOCHON Maître de conférences // Assistant Professor LRDE, EPITA 18, rue Pasteur 94270 Le Kremlin-Bicêtre _______________________________________________ Seminaire mailing list Seminaire(a)lrde.epita.fr https://lists.lrde.epita.fr/listinfo/seminaire

7 years, 5 months

New journal publication

by Nicolas BOUTRY

I am happy to announce that the following paper has been accepted for publication in the Journal of Mathematical Imaging and Vision (JMIV): A Tutorial on Well-Composedness Nicolas Boutry (1), Thierry Géraud (1) and Laurent Najman (2) (1) LRDE, EPITA, Le Kremlin-Bicêtre, France (2) Université Paris-Est, LIGM, Équipe A3SI, ESIEE, Marne-la-Vallée, France Abstract: Due to digitization, usual discrete signals generally present topological paradoxes, such as the connectivity paradoxes of Rosenfeld. To get rid of those paradoxes, and to restore some topological properties to the objects contained in the image, like manifoldness, Latecki proposed a new class of images, called well-composed images, with no topological issues. Furthermore, well-composed images have some other interesting properties: for example, the Euler number is locally computable, boundaries of objects separate background from foreground, the tree of shapes is well defined, and so on. Last, but not the least, some recent works in mathematical morphology have shown that very nice practical results can be obtained thanks to well-composed images. Believing in its prime importance in digital topology, we then propose this state-of-the-art of well-composedness, summarizing its different flavours, the different methods existing to produce well-composed signals, and the various topics that are related to well-composedness. URL: http://publications.lrde.epita.fr/boutry.17.jmiv <http://publications.lrde.epita.fr/boutry.17.jmiv> Nicolas Boutry

7 years, 5 months

[Seminaire-LRDE] Séminaire du LRDE le mercredi 27 septembre 2017: Julien Signoles, CEA LIST, Laboratoire de Sûreté des Logiciels (LSL)

by Guillaume Tochon

Chers collègues, La prochaine session du séminaire Performance et Généricité du LRDE (Laboratoire de Recherche et Développement de l'EPITA) aura lieu le Mercredi 27 septembre 2017 (11h--12h), Salle L0 du LRDE. Vous trouverez sur le site du séminaire [1] les prochaines séances, les résumés, captations vidéos et planches des exposés précédents [2], le détail de cette séance [3] ainsi que le plan d'accès [4]. [1] http://seminaire.lrde.epita.fr [2] http://seminaire.lrde.epita.fr/Archives [3] http://seminaire.lrde.epita.fr/2017-09-27 [4] http://www.lrde.epita.fr/wiki/Contact Au programme du Mercredi 27 septembre 2017 : * 11h--12h: Frama-C, une plateforme collaborative et extensible pour l'analyse de code C -- Julien Signoles, CEA LIST, Laboratoire de Sûreté des Logiciels (LSL) orateur : http://julien.signoles.free.fr Frama-C est une plateforme d'analyse de code C visant à vérifier des programmes C de taille industrielle. Elle fournit à ses utilisateurs une collection de greffons effectuant notamment des analyses statiques par interprétation abstraite et des méthodes déductives ou encore permettant des vérifications à l'exécution. La plateforme permet également de faire coopérer les analyses grâce au partage d'un noyau et d'un langage de spécification communs. Cet exposé présente une vue générale de la plateforme, de ses principaux analyseurs et de quelques applications industrielles. Il se concentre sur le langage de spécification ACSL et sur différentes façons de vérifier des spécifications ACSL avec des analyses statiques ou dynamiques. -- Julien Signoles a obtenu un doctorat en informatique de l'Université Paris 11 en 2006. Il devint ensuite ingénieur-chercheur au CEA LIST en 2007. Au sein du Laboratoire de Sûreté des Logiciels (LSL), il est l'un des développeurs principaux de Frama-C. Ses recherches se concentrent aujourd'hui sur la vérification à l'exécution (runtime verification) et ses différentes applications pour améliorer la sûreté et la sécurité des logiciels critiques. L'entrée du séminaire est libre. Merci de bien vouloir diffuser cette information le plus largement possible. N'hésitez pas à nous faire parvenir vos suggestions d'orateurs. -- Guillaume TOCHON Maître de conférences // Assistant Professor LRDE, EPITA 18, rue Pasteur 94270 Le Kremlin-Bicêtre _______________________________________________ Seminaire mailing list Seminaire(a)lrde.epita.fr https://lists.lrde.epita.fr/listinfo/seminaire

7 years, 6 months

Spot 2.4 released

by Alexandre Duret-Lutz

We are happy to announce the release of Spot 2.4. Spot is a library of algorithms for manipulating LTL formulas and omega-automata (objects as commonly used in model checking). A detailed list of new features in this new release is given at the end of this email. You can find the new release here: http://www.lrde.epita.fr/dload/spot/spot-2.4.tar.gz See https://spot.lrde.epita.fr/ for documentation and installation instructions. This release contains code contributed by Clément Gillard, Etienne Renault, Henrich Lauko, Maximilien Colange, Thomas Medioni and myself. As always, please direct any feedback to <spot(a)lrde.epita.fr>. New in spot 2.4 (2017-09-06) Build: - Spot is now built in C++14 mode, so you need at least GCC 5 or clang 3.4. The current version of all major linux distributions ship with at least GCC 6, which defaults to C++14, so this should not be a problem. In *this* release of Spot, most of the header files are still C++11 compatible, so you should be able to include Spot in a C++11 project in case you do not yet want to upgrade. There is also an --enable-c++17 option to configure in case you want to force a build of Spot in C++17 mode. Tools: - genaut is a new binary that produces families of automata defined in the literature (in the same way as we have genltl for LTL formulas). - autcross is a new binary that compares the output of tools transforming automata (in the same way as we have ltlcross for LTL translators). - genltl learned two generate two new families of formulas: --fxg-or=RANGE F(p0 | XG(p1 | XG(p2 | ... XG(pn)))) --gxf-and=RANGE G(p0 & XF(p1 & XF(p2 & ... XF(pn)))) The later is a generalization of --eh-pattern=9, for which a single state TGBA always exists (but previous version of Spot would build larger automata). - autfilt learned to build the union (--sum) or the intersection (--sum-and) of two languages by putting two automata side-by-side and fiddling with the initial states. This complements the already implemented intersection (--product) and union (--product-or), both based on a product. - autfilt learned to complement any alternating automaton with option --dualize. (See spot::dualize() below.) - autfilt learned --split-edges to convert labels that are Boolean formulas into labels that are min-terms. (See spot::split_edges() below.) - autfilt learned --simplify-acceptance to simplify some acceptance conditions. (See spot::simplify_acceptance() below.) - autfilt --decompote-strength has been renamed to --decompose-scc because it can now extract the subautomaton leading to an SCC specified by number. (The old name is still kept as an alias.) - The --stats=%c option of tools producing automata can now be restricted to count complete SCCs, using %[c]c. - Tools producing automata have a --stats=... option, and tools producing formulas have a --format=... option. These two options work similarly, the use of different names is just historical. Starting with this release, all tools that recognize one of these two options also accept the other one as an alias. Library: - A new library, libspotgen, gathers all functions used to generate families of automata or LTL formulas, used by genltl and genaut. - spot::sum() and spot::sum_and() implements the union and the intersection of two automata by putting them side-by-side and using non-deterministim or universal branching on the initial state. - twa objects have a new property: prop_complete(). This obviously acts as a cache for the is_complete() function. - spot::dualize() complements any alternating automaton. Since the dual of a deterministic automaton is still deterministic, the function spot::dtwa_complement() has been deprecated and simply calls spot::dualize(). - spot::decompose_strength() was extended and renamed to spot::decompose_scc() as it can now also extract a subautomaton leading to a particular SCC. A demonstration of this feature via the Python bindings can be found at https://spot.lrde.epita.fr/ipynb/decompose.html - The print_dot() function will now display names for well known acceptance conditions under the formula when option 'a' is used. We plan to enable 'a' by default in a future release, so a new option 'A' has been added to hide the acceptance condition. - The print_dot() function has a new experimental option 'x' to output labels are LaTeX formulas. This is meant to be used in conjunction with the dot2tex tool. See https://spot.lrde.epita.fr/oaut.html#dot2tex - A new named property for automata called "original-states" can be used to record the origin of a state before transformation. It is currently defined by the degeneralization algorithms, and by transform_accessible() and algorithms based on it (like remove_ap::strip(), decompose_scc()). This is realy meant as an aid for writing algorithms that need this mapping, but it can also be used to debug these algorithms: the "original-states" information is displayed by the dot printer when the 'd' option is passed. For instance in % ltl2tgba 'GF(a <-> Fb)' --dot=s % ltl2tgba 'GF(a <-> Fb)' | autfilt -B --dot=ds the second command outputs an automaton with states that show references to the first one. - A new named property for automata called "degen-levels" keeps track of the level of a state in a degeneralization. This information complements the one carried in "original-states". - A new named property for automata called "simulated-states" can be used to record the origin of a state through simulation. The behavior is similar to "original-states" above. Determinization takes advantage of this in its pretty print. - The new function spot::acc_cond::is_streett_like() checks whether an acceptance condition is conjunction of disjunctive clauses containing at most one Inf and at most one Fin. It builds a vector of pairs to use if we want to assume the automaton has Streett acceptance. The dual function is spot::acc_cond::is_rabin_like() works similarly. - The degeneralize() function has learned to consider acceptance marks common to all edges comming to a state to select its initial level. A similar trick was already used in sbacc(), and saves a few states in some cases. - There is a new spot::split_edges() function that transforms edges (labeled by Boolean formulas over atomic propositions) into transitions (labeled by conjunctions where each atomic proposition appear either positive or negative). This can be used to preprocess automata before feeding them to algorithms or tools that expect transitions labeled by letters. - spot::scc_info has two new methods to easily iterate over the edges of an SCC: edges_of() and inner_edges_of(). - spot::scc_info can now be passed a filter function to ignore or cut some edges. - spot::scc_info now keeps track of acceptance sets that are common to all edges in an SCC. These can be retrieved using scc_info::common_sets_of(scc), and they are used by scc_info to classify some SCCs as rejecting more easily. - The new function acc_code::remove() removes all the given acceptance sets from the acceptance condition. - It is now possible to change an automaton acceptance condition directly by calling twa::set_acceptance(). - spot::cleanup_acceptance_here now takes an additional boolean parameter specifying whether to strip useless marks from the automaton. This parameter is defaulted to true, in order to keep this modification backward-compatible. - The new function spot::simplify_acceptance() is able to perform some simplifications on an acceptance condition, and might lead to the removal of some acceptance sets. - The function spot::streett_to_generalized_buchi() is now able to work on automata with Streett-like acceptance. - The function for converting deterministic Rabin automata to deterministic Büchi automata (when possible), internal to the remove_fin() procedure, has been updated to work with transition-based acceptance and with Rabin-like acceptance. - spot::relabel_here() was used on automata to rename atomic propositions, it can now replace atomic propositions by Boolean subformula. This makes it possible to use relabeling maps produced by relabel_bse() on formulas. - twa_graph::copy_state_names_from() can be used to copy the state names from another automaton, honoring "original-states" if present. - Building automata for LTL formula with a large number N of atomic propositions can be costly, because several loops and data-structures are exponential in N. However a formula like ((a & b & c) | (d & e & f)) U ((d & e & f) | (g & h & i)) can be translated more efficiently by first building an automaton for (p0 | p1) U (p1 | p2), and then substituting p0, p1, p2 by the appropriate Boolean formula. Such a trick is now attempted for translation of formulas with 4 atomic propositions or more (this threshold can be changed, see -x relabel-bool=N in the spot-x(7) man page). - The LTL simplification routines learned that an LTL formula like G(a & XF(b & XFc & Fd) can be simplified to G(a & Fb & Fc & Fd), and dually F(a | XG(b | XGc | Gd)) = F(a | Gb | Gc | Gd). When working with SERE, the simplification of "expr[*0..1]" was improved. E.g. {{a[*]|b}[*0..1]} becomes {a[*]|b} instead of {{a[+]|b}[*0..1]}. - The new function spot::to_weak_alternating() is able to take an input automaton with generalized Büchi/co-Büchi acceptance and convert it to a weak alternating automaton. - spot::sbacc() is can now also convert alternating automata to state-based acceptance. - spot::sbacc() and spot::degeneralize() learned to merge accepting sinks. - If the SPOT_BDD_TRACE environment variable is set, statistics about BDD garbage collection and table resizing are shown. - The & and | operators for acceptannce conditions have been changed slightly to be more symmetrical. In older versions, operator & would move Fin() terms to the front, but that is not the case anymore. Also operator & was already grouping all Inf() terms (for efficiency reasons), in this version operator | is symmetrically grouping all Fin() terms. - The automaton parser is now reentrant, making it possible to process automata from different streams at the same time (i.e., using multiple spot::automaton_stream_parser instances at once). - The print_hoa() and parse_automaton() functions have been updated to recognize the "exist-branch" property of the non-released HOA v1.1, as well as the new meaning of property "deterministic". (In HOA v1 "properties: deterministic" means that the automaton has no existential branching; in HOA v1.1 it disallows universal branching as well.) The meaning of "deterministic" in Spot has been adjusted to these new semantics, see "Backward-incompatible changes" below. - The parser for HOA now recognizes and verifies correct use of the "univ-branch" property. This is known to be a problem with option -H1 of ltl3ba 1.1.2 and ltl3dra 0.2.4, so the environment variable SPOT_HOA_TOLERANT can be set to disable the diagnostic. Python: - The 'spot.gen' package exports the functions from libspotgen. See https://spot.lrde.epita.fr/ipynb/gen.html for examples. Bugs fixed: - When the remove_fin() function was called on some automaton with Inf-less acceptance involving at least one disjunction (e.g., generalized co-Büchi), it would sometimes output an automaton with transition-based acceptance but marked as state-based. - The complete() function could complete an empty co-Büchi automaton into an automaton accepting everything. Backward-incompatible changes: - spot::acc_cond::mark_t::operator bool() has been marked as explicit. The implicit converion to bool (and, via bool, to int) was a source of bugs. - spot::twa_graph::set_init_state(const state*) has been removed. It was never used. You always want to use spot::twa_graph::set_init_state(unsigned) in practice. - The previous implementation of spot::is_deterministic() has been renamed to spot::is_universal(). The new version of spot::is_deterministic() requires the automaton to be both universal and existential. This should not make any difference in existing code unless you work with the recently added support for alternating automata. - spot::acc_cond::mark_t::sets() now returns an internal iterable object instead of an std::vector<unsigned>. - The color palette optionally used by print_dot() has been extended from 9 to 16 colors. While the first 8 colors are similar, they are a bit more saturated now. Deprecation notices: (These functions still work but compilers emit warnings.) - spot::decompose_strength() is deprecated, it has been renamed to spot::decompose_scc(). - spot::dtwa_complement() is deprecated. Prefer the more generic spot::dualize() instead. - The spot::twa::prop_deterministic() methods have been renamed to spot::twa::prop_universal() for consistency with the change to is_deterministic() listed above. We have kept spot::twa::prop_deterministic() as a deprecated synonym for spot::twa::prop_universal() to help backward compatibility. - The spot::copy() function is deprecated. Use spot::make_twa_graph() instead. -- Alexandre Duret-Lutz

7 years, 6 months

New publication: Quotient Operators for Weighted Rational Expressions

by Akim Demaille

The Vcsn team is happy to announce that the following paper was accepted to the 14th International Colloquium on Theoretical Aspects of Computing (ICTAC 2017), to be held in 23-27 October 2017 in Hanoi, Vietnam. Quotient Operators for Weighted Rational Expressions Akim Demaille, Thibaud Michaud EPITA/LRDE Quotients of words play a key role in formal language theory, however they have been rarely studied in the context of weighted rational expressions. We define the left and right quotients of rational series, and introduce corresponding operators for weighted expressions. We generalize an alternative construction of the derived-term (or Antimirov, or equation) automaton, based on expansions, to handle these operators. For more information about this publication see http://publis.lrde.epita.fr/demaille.17.ictac To visit Vcsn's home page, go to (considered harmless) http://vcsn.lrde.epita.fr To play with Vcsn on the topic of this paper http://vcsn-sandbox.lrde.epita.fr/notebooks/Doc/ICTAC-2017.ipynb

7 years, 9 months

L'air de rien 38.0

by Daniela Becker

Bonjour, nous avons le plaisir de vous annoncer la sortie du n°38 du bulletin du LRDE. C'est un numéro spécial dédié aux séminaires des étudiants-chercheurs du LRDE qui auront lieu le mardi 4 juillet 2017. Vous y trouverez le programme de la journée avec les résumés des exposés. Nous y laissons également la parole à trois de nos collègues qui ont décidé de partir pour de nouveaux horizons. Vous pouvez télécharger le bulletin en couleur à la page suivante : http://www.lrde.epita.fr/wiki/LrdeBulletin/l-air-de-rien-38 -- Daniela Becker Responsable administrative du LRDE

7 years, 9 months

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