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Developer’s DescriptionAccept Prolog with constraints and compile over finite domains.GNU Prolog is a free Prolog compiler with constraint solving over finite domains. GNU Prolog accepts Prolog with constraint programs and produces native binaries (like gcc does from a C source). The obtained executable is then stand-alone. The size of this executable can be small since GNU Prolog can avoid linking the code of most unused built-in predicates. The performances of GNU Prolog are very encouraging (comparable to commercial systems). Beside the native-code compilation, GNU Prolog offers a classical interpreter (top-level) with a debugger.The Prolog part conforms to the ISO standard for Prolog with many extensions very useful in practice (global variables, OS interface, and sockets). GNU Prolog also includes an efficient constraint solver over Finite Domains (FD). This opens constraint logic programming to the user combining the power of constraint programming to the declarativity of logic programming. Features include conforms to the ISO standard for Prolog, line editing facility under the interactive interpreter with completion on atoms, bidirectional interface between Prolog and C, native-code compiler producing stand alone executables, simple command-line compiler accepting a variety of files, predefined constraints: arithmetic constraints, Boolean constraints, symbolic constraints, and reified constraints, predefined enumeration heuristics, and user can define his own new constraints. WC 2006 MENUGermany '06 storyMatch scheduleSquadsStatisticsQUALIFYING COMPETITIONAfricaAsiaEuropeN/C AmericaOceaniaSouth AmericaJune 23rd 2006 (21:00)Hannover, AWD ArenaSWITZERLAND - SOUTH KOREA2-0 (1-0) GOALS 23' 1-0 Philippe Senderos (assist - Hakan Yakin) 77' 2-0 Alexander Frei REFEREE Horacio Elizondo (Argentina) LINESMEN Dario Garcia (Argentina) Rodolfo Otero (Argentina) 4TH OFFICIAL Essam Abd El Fatah (Egypt) 5TH OFFICIAL Dramane Dante (Mali) YELLOW CARDS 23' Chu-Young Park (KOR) 37' Jin-Kyu Kim (KOR) 43' Philippe Senderos (SWI) 55' Hakan Yakin (SWI) 69' Raphael Wicky (SWI) 78' Jin-Cheul Choi (KOR) 78' Jung-Hwan Ahn (KOR) 80' Chun-Soo Lee (KOR) 82' Christoph Spycher (SWI) 90' Johan Djourou (SWI) RED CARDS - ATTENDANCE 43,000 SWITZERLAND AGE D.O.B. CLUB 1 GK Pascal Zuberbühler 35 08 Jan 1971 FC Basel 4 DF Philippe Senderos (-53) 21 14 Feb 1985 Arsenal (ENG) 17 DF Christoph Spycher 28 30 Mar 1978 Eintracht Frankfurt (GER) 20 DF Patrick Müller 29 17 Dec 1976 Lyon (FRA) 23 DF Philipp Degen 23 15 Feb 1983 Borussia Dortmund (GER) 6 MD Johann Vogel (c) 29 08 Mar 1977 AC Milan (ITA) 7 MD Ricardo Cabanas 27 17 Jan 1979 1.FC Cologne (GER) 8 MD Raphael Wicky (-88) 29 26 Apr 1977 Hamburger SV (GER) 16 MD Tranquillo Barnetta 21 22 May 1985 Bayer Leverkusen (GER) 22 MD Hakan Yakin (-71) 29 22 Feb 1977 Young Boys Berne 9 FW Alexander Frei 26 15 Jul 1979 Rennes (FRA) Substitutes 2 DF Johan Djourou (+53) 19 18 Jan 1987 Arsenal (ENG) 19 DF Valon Behrami (+88) 21 19 Apr 1985 Lazio (ITA) 5

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Logtalk overviewLogtalk is an Open-Source, object-oriented logic programming language that extends and leverages the Prolog language with a feature set suitable for programming in-the-large. Logtalk supports modern code encapsulation and code reuse mechanisms without compromising the declarative programming features of Prolog. Logtalk is implemented in highly portable code and can use most modern and standards compliant Prolog implementations as a back-end compiler. The Logtalk distribution features portable libraries and portable assertions, documenting, diagraming, and unit testing tools, plus extensive code editing and publishing support. It also includes extensive documentation and a large number of programming examples.What’s new in version 3.88 Improved: Handbook documentation of the mode/2 predicate directive. Improved: Handbook glossary definition of “prototype”. Improved: Documentation of the packs tool. Updated: Notes on the developer tools third-party dependency requirements. Updated: The lgtunit tool documentation on generating Allure reports. Fixed: The manual install instructions missing a PATH setting for the packs tool lgtenv.sh script. Fixed: Handbook PDF version missing the sections on ports and contributions.App SpecsUpdated onFeb 12 2025LicenseFreeMonetizationAbsolutely FreeSize22 MBArchitectureIntel 64Apple SiliconOSOS X 10.10 or laterOther requirementsCompatible Prolog compilerDownloads10589Developer Go to developer’s websiteHow would you rate Logtalk? Bit level plus some more sophistication.I still do not know if I can do this, but I will try and it is fun, especially for an old dog in retirement.Regards,Loffy B.Hooijenga VIP Member Posts: 57 Joined: 11 Jul 2002 23:01 Re: integer or string to binary Post by B.Hooijenga » 5 Sep 2019 14:14 Loffy,The type unsigned uses 32 bits and an unsigned8 uses 8 bits Both types are just a sequence of bits.There is no principal difference.Visual Prolog uses the bitsize to define them.Visual Prolog has a class for bit-operations.The class uses unsigned. But I think you can use them for whatever you want to prove.Most Visual Prolog application-programmers are using the high level of abstraction VIP allows.But it is very well possible these days to write more close to the hardware.As Thomas demonstrates with my program.Thomas, thank you.Your solution, inspires me to speeding up some routines. Kind greetingsBen

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Virtual Prolog getting in my way. Please do not get me wrong. Virtual Prolog has many virtues, and I can see quite a number of Virtual Prolog predicates that can help, it is just the strong typing that is causing me issues. I do not want to work with 16/32/64 bit values unless I really need to.If this is getting off-subject for your discussion forum feel free to contact me at my private e-mail address.Regards,Loffy Thomas Linder Puls VIP Member Posts: 1464 Joined: 28 Feb 2000 0:01 Re: integer or string to binary Post by Thomas Linder Puls » 5 Sep 2019 11:09 If you are dealing with something that has a certain "struct" layout, then you can (most likely) create a functor domain that has a the same layout.It you are dealing with an array the are a number of array classes that be used to deal with it.Finally, you can use inputStream_binary/outputStream_binary to fetch/put data sequentially.You can find additional information about some of this in Memory Handling.I would be careful about concatenation, it is a source of inefficiency.Ben's problem could also be solved like this:Code: Select allString8 = string8::mapFromString(String), BS = outputStream_binary::new(), BS:writeBytes(convert(pointer, String8), string8::length(String8)), Binary = BS:getBinary(), stdio::writef("%\n", Binary2), Regards Thomas Linder PulsPDC Loffy Active Member Posts: 47 Joined: 15 Aug 2019 11:32 Re: integer or string to binary Post by Loffy » 5 Sep 2019 13:27 Thomas,Thanks for your reply.I am an oldish dog, and I am learning new tricks every day, though sometimes slower than a new dog would.My problem resolved around two points:1. I did not understand Unicode. Loading a few files into a hex editor fixed that problem.2. The strong typing in Visual Prolog was at first a real pain, though now after re-visting my code and getting all of my declarations clear, I have fixed those problems and now the strong typing will help me.I owe you a little understanding of what I am attempting to do, though I will not elaborate further than saying I am attempting to simulate/emulate the operations of a quantum computer. That requires operation at the classical

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A largely incomplete but hopefully useful list of links to datasets for relational learning and inductive logic programming. No guarantees on availability.A list of datasets per source.The CVUT Prague Relational Dataset Repository: A large collection of ILP datasets, stored as MariaDB (SQL) datasets.Motl, Jan, and Oliver Schulte. "The CTU prague relational learning repository." arXiv preprint arXiv:1511.03086 (2015).ACE data mining system data sets: nine ILP datasets in Quinlan's FOIL format, together with scripts to convert them into ACE format (see README.txt in the ZIP).These were used in:Jan Struyf, Jesse Davis and David Page, An efficient approximation to lookahead in relational learners. In J. Fürnkranz, T. Scheffer and M. Spiliopoulou, editors, Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Proceedings. Lecture Notes in Artificial Intelligence, volume 4212, pages 775-782, Springer, 2006, [Abstract], [BibTeX].Muta188Muta230FinancialSisyphus ASisyphus BUWCSEYeastCarcinogenesisBongardAlchemyAnimalsCiteSeerCoraEpinionsIMDBKinshipsNationsProtein InteractionRadish Robot Mapping - TutorialUMLSUW-CSEWebKBILP Datasets:: in SQL formatCarcinogenesisFinancialTrainsMutagenesisImdbIMDB Top/Botttom MoviesStephen Muggleton's data set directory:Trainsalzheimerscarcinogenesischesse_colimeshmore_chessmutagenesisproteinssatellitesuraminutubeSriraam's StARLinGLAB data sets:Toy FatherToy CancerIMDBCoraUW-CSEWebKBCiteSeerBoston HousingDrug-Drug InteractionsGILPS:alzheimerscarcinogenesisdsstoxmetabolismmutagenesispyrimidinestrainsBayesBase: Datasets posted in 3 formats: (i) as a MySQL dump for a relational schema, (ii) in the WILL format, similar to the Aleph ILP input format, (iii) in the .db format of Markov Logic Networks as implemented in the Alchemy system.unielwinMutagenesis_stdMovieLens_stdMovieLens_TQ(1M)Financial_stdMondial_stdUW_stdimdb_MovieLensHepatitis_stdCont_PLG_TM (Continuous database)LINQS - Statistical Relational Learning GroupSocial SpammerDrug-Target InteractionStance ClassificationCiteSeer for Document ClassificationCiteSeer for Entity ResolutionCoraArXivPubMed DiabetesWebKBTerroristsTerrorist Attacksklog Datasets as Prolog files:WebKB: Originally developed by M. Craven et al. (1998). The version available here is a direct conversion to Prolog of the data available at the Alchemy website.Internet Movie Database: Data extracted from this database has been used in a number of relational learning papers. The version available here was downloaded from the IMDb website, converted into SQL using the prodecure described in and finally a subset of the tuples was converted into a Prolog file.UW-CSE The data set originally developed at University of Washington for demonstrating the capabilities of Markov logic networks. The version available here is a direct conversion to Prolog of the data available at theAlchemy website.Bursi This data set contains 4,337 molecules labeled according to mutagenicity (2,401 mutagens and 1,936 nonmutagens). Originally developed by Kazius et al (2005) it has been used in a number of machine learning papers, especially those studying graph kernels.Biodegradability This is an older data set of chemical structures containing 328 compounds labeled by their half-life for aerobic aqueous biodegradation (a regression task).Weka Proper - RELAGGSMLnetAmong others, some ILP datasets. Note: Internet Archive's Wayback machine link