| 1 | # -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4 |
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| 2 | # $Id$ |
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| 3 | |
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| 4 | PortSystem 1.0 |
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| 5 | |
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| 6 | name yamcha |
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| 7 | version 0.33 |
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| 8 | categories science |
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| 9 | platforms darwin |
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| 10 | maintainers nomaintainer |
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| 11 | license LGPL |
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| 12 | |
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| 13 | description Yet Another Multipurpose CHunk Annotator |
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| 14 | long_description YamCha is a generic, customizable, and open source text \ |
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| 15 | chunker oriented toward a lot of NLP tasks, such as POS \ |
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| 16 | tagging, Named Entity Recognition, base NP chunking, and \ |
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| 17 | Text Chunking. YamCha is using a state-of-the-art machine \ |
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| 18 | learning algorithm called Support Vector Machines (SVMs), \ |
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| 19 | first introduced by Vapnik in 1995. |
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| 20 | |
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| 21 | homepage http://www.chasen.org/~taku/software/yamcha/ |
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| 22 | master_sites ${homepage}/src/ |
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| 23 | checksums sha1 4ee6d8150557761f86fcb8af118636b7c23920c0 \ |
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| 24 | rmd160 ac21fa16a45efa40775d426cd6229f612a7aa21e |
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| 25 | |
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| 26 | depends_lib port:perl5 \ |
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| 27 | port:tinysvm |
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| 28 | |
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| 29 | variant universal {} |
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| 30 | if {[variant_isset universal]} { |
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| 31 | set archflags ${configure.universal_cxxflags} |
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| 32 | } else { |
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| 33 | set archflags ${configure.cxx_archflags} |
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| 34 | } |
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| 35 | |
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| 36 | build.args CXX="${configure.cxx} ${archflags}" |
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| 37 | |
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| 38 | test.run yes |
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| 39 | test.target check |
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| 40 | |
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| 41 | configure.args-append --enable-shared=no \ |
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| 42 | --mandir=${prefix}/share/man \ |
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| 43 | --with-svm-learn=${prefix} |
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| 44 | |
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| 45 | livecheck.type regex |
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| 46 | livecheck.url ${master_sites} |
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| 47 | livecheck.regex ${name}-(\[0-9.\]+)\\. |
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