---
name: ghmm
version: 0.7.0b
origin: science/ghmm
comment: General Hidden Markov Model Library in C
arch: freebsd:9:x86:64
www: http://ghmm.sourceforge.net/
maintainer: clsung@FreeBSD.org
prefix: /usr/local
licenselogic: single
flatsize: 2758170
desc: "The General Hidden Markov Model Library (GHMM) is a C library \nwith additional
  Python bindings implementing a wide range of \ntypes of Hidden Markov Models and
  algorithms: \ndiscrete, continous emissions, basic training, \nHMM clustering, HMM
  mixtures.\n\nWWW:\thttp://ghmm.sourceforge.net/\n"
categories: [science, math]
files:
  /usr/local/bin/cluster: e561bcbfc54f1493e05ca72b9a1c4f6ec58ae5a7ba14901ef6ce4676d4e3ba0d
  /usr/local/bin/ghmm-config: 66eef6a479c15391bab0d0bcb2218b3383db7c6e7634dc5644f1d08bf87540e7
  /usr/local/bin/probdist: 138e1277c7d42ed269d513029f985ec85be490b999a21e1337a36d099e6919b1
  /usr/local/bin/scluster: a169be79744efbb4f4ef68982e84169a4fcab54a563126eece23ec2c95d25056
  /usr/local/bin/smix_hmm: 88b50c0936f62494872942265820d65ce5859ede7b92f0564e649590d01000a3
  /usr/local/include/ghmm/cluster.h: c3780733a8532538f5b6e924146081c570d741c33645d6247c967dd05e563b09
  /usr/local/include/ghmm/const.h: 2fefbb14232a5bc4ea95de84636a14a71ecc665b8c39dd5fd33214140cfcb03d
  /usr/local/include/ghmm/discrime.h: 34d3677e702011cdcd020ae7edbd5757663ca6d05ad170e1c71a0373314db4d5
  /usr/local/include/ghmm/foba.h: 26f46a2f39424ed5012bddba6d27d89fc98809ca718dbc9748138e371a7d5427
  /usr/local/include/ghmm/gauss_tail.h: d9d9b909594240271cca0cf28d557516b57b2db8f4ed6353e8ec378946fe239a
  /usr/local/include/ghmm/ghmm.h: a09cb7d03a1f0ee681879e22d09379d9d5475e2b1f410555194d581cf5a44678
  /usr/local/include/ghmm/gradescent.h: 483e9a568df1d9694b5b42cda23ee818ed8c7237d155a106a878746548e068ea
  /usr/local/include/ghmm/internal.h: a6a7bb3f70df1290f41166ac00b5b5695851e183dd8d49c51722e6b9565d1722
  /usr/local/include/ghmm/kbest.h: b966a22ba034e134337b54c992d6be6f25ddfadc68041be3a535455660426e2e
  /usr/local/include/ghmm/linkedlist.h: 0def42aced8be77a06547d3a5ab920166af461ee828d15697a22747ad031fe2a
  /usr/local/include/ghmm/matrix.h: 26c0088106143c2975e9f1a29d0d1a2a4e57df434b84eeaad9646dc7d827663c
  /usr/local/include/ghmm/mes.h: 05a7ee555068065818083e0749ebdefc6dee56c08ced2d084dd13137ba7bc0c2
  /usr/local/include/ghmm/model.h: 15f156aa755ef4b858a9630ffa5452a21500599852f5f0d80704dffaa958141e
  /usr/local/include/ghmm/pmodel.h: 2147a7809fc44fce8ee8e045d2fe6a29e8660582f8776c3745cc6b3abbe4884a
  /usr/local/include/ghmm/psequence.h: b56e852abe5c3c3f6587997dedadb70dcca5ca697cd04394f4fda1c8b200d809
  /usr/local/include/ghmm/pviterbi.h: 76e9583b1d8ea258b274cc51aa8ee53b3ae53a7d01304038c18e629475adbd86
  /usr/local/include/ghmm/pviterbi_propagate.h: 195e52a7206737c653c727290bbddc3f24f5c89c1d4bc36555d76d68b5ed8429
  /usr/local/include/ghmm/randvar.h: 902590e5ea144cd5f00d4f8c817634ed9d248afd6b023910ce4b602a0dca9ecf
  /usr/local/include/ghmm/reestimate.h: 7e3eb61cd67ee3cdea100f434f5850e369e64ab580a90e74c21dc71bf29c032e
  /usr/local/include/ghmm/rng.h: 8974e3b8446c059d875fc88fde91a43c23c1bd40e2d9dcfb25fd9f7a0104fb97
  /usr/local/include/ghmm/root_finder.h: 0b62ac02d306921f62f055d0422093af38f3e8a48a91cb0744fb301dd612bf63
  /usr/local/include/ghmm/scanner.h: e9a10eb48df121e845070f8301f0a36239cdf09dd62650cdd072465ba7c9850d
  /usr/local/include/ghmm/scluster.h: d1f1af2cb23c037ddb43c0b0f05624a4ec2b4209689981c013c3e47c6be1f3f5
  /usr/local/include/ghmm/sdfoba.h: 5c7a5bd3de9c32bab5ffb31f67fafafae7c0a6ad3eb1c22cdb991d102cb994eb
  /usr/local/include/ghmm/sdmodel.h: 02e2e0655d3f7b7b6e2889858a07e17c7eb148bb26605bc4b175a766508abfd0
  /usr/local/include/ghmm/sequence.h: 44778591f9c02faa8a7a2f9f686704e0b53492f282f45fbbeea51aac42c78ac0
  /usr/local/include/ghmm/sfoba.h: 613bf9d814215931724abb60dd21ebe4cff3932cc04354733413e7ab1ec14fb4
  /usr/local/include/ghmm/sgenerate.h: 2856e2feb21303819ca317db8cd792de3771f42c85be9dbcbae4525d5debbbbb
  /usr/local/include/ghmm/smap_classify.h: 959061988fdcbfc7170b7c5afb75835cf50cd6aae190889d0843035cec0d07e2
  /usr/local/include/ghmm/smixturehmm.h: c17c7db7a2ba210475e8d7c1de50f616b7052defa780f259eeb99ad0763e1504
  /usr/local/include/ghmm/smodel.h: b8baeb218bea1058adeb14b95dd9edd63f7c79f367444c095e4adbd448ec8dd0
  /usr/local/include/ghmm/sreestimate.h: 7e974594bbda206db3f658cd6c1506c75013fa5d6d0de9cc7bdb4a080fa6e454
  /usr/local/include/ghmm/sviterbi.h: af235b033c22d2498316bb96d6014b6aacc97f119498901eea08b752aa8c9140
  /usr/local/include/ghmm/vector.h: b3427f08c56fb4aaffaebcc3aa1fc2ef46102f973be012c9f4fa66d19e0f280b
  /usr/local/include/ghmm/viterbi.h: f5b9c203f08742b4e61eab6e8b808d520843b87831c2bbc46c6201fa4ae48f22
  /usr/local/lib/libghmm.a: 079ee322a92e218f73e1b8ef66a5abd67ce482d7c113544310dc46ac7626493e
  /usr/local/lib/libghmm.la: f11f74906e590bfa6ee430fad0d40878bc69ee85ad47ef47e1e5fdf06da23de2
  /usr/local/lib/libghmm.so: '-'
  /usr/local/lib/libghmm.so.0: 2f040b428aae55291f6a68c8c89487cff8705f7fee8237f16ec7d0066e96ef20
  /usr/local/share/ghmm/PHI_001_20.dat: d51895f9aea4d7c5ae2e7744f52ef798024e5896a5b37824de05d1138c40b8af
directories:
  /usr/local/share/ghmm/: y
  /usr/local/include/ghmm/: y
scripts:
  post-install: |
    /sbin/ldconfig -m /usr/local/lib
  pre-deinstall: |
    /sbin/ldconfig -R
