1 | # $Id$ |
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2 | |
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3 | PortSystem 1.0 |
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4 | PortGroup python25 1.0 |
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5 | |
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6 | name py25-pymc |
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7 | version 2.0 |
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8 | maintainers inmachina.com:max openmaintainer |
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9 | |
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10 | description Bayesian statistical models and fitting algorithms for python |
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11 | long_description PyMC is a python module that implements Bayesian statistical models \ |
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12 | and fitting algorithms, including Markov chain Monte Carlo. \ |
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13 | Its flexibility makes it applicable to a large suite of problems as well \ |
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14 | as easily extensible. Along with core sampling functionality, \ |
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15 | PyMC includes methods for summarizing output, plotting, goodness-of-fit and\ |
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16 | convergence diagnostics. |
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17 | |
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18 | platforms darwin |
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19 | |
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20 | homepage http://code.google.com/p/pymc/ |
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21 | master_sites http://pypi.python.org/packages/source/p/pymc/ |
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22 | distname pymc-${version} |
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23 | |
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24 | checksums md5 ef673f20c89d845520516111c9c0db08 \ |
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25 | sha1 622aaaef83b5dd870021eacdf728ca3dde00eb80 \ |
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26 | rmd160 35e8593a9811ae6c51b3c47a81514a50e5a8e838 |
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27 | |
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28 | patchfiles-append patch-pymc-gibbsit.f.diff |
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29 | depends_lib-append port:py25-numpy |
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30 | |
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31 | variant gcc42 description {create Fortran wrappers using gcc42} conflicts gcc43 g95 { |
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32 | depends_lib-append port:gcc42 |
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33 | set fc ${prefix}/bin/gfortran-mp-4.2 |
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34 | build.env-append F77=${fc} F90=${fc} |
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35 | } |
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36 | |
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37 | variant gcc43 description {create Fortran wrappers using gcc43} conflicts gcc42 g95 { |
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38 | depends_lib-append port:gcc43 |
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39 | set fc ${prefix}/bin/gfortran-mp-4.3 |
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40 | build.env-append F77=${fc} F90=${fc} |
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41 | } |
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42 | |
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43 | variant g95 description {create Fortran wrappers using f95} conflicts gcc42 gcc43 { |
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44 | depends_lib-append port:g95 |
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45 | set fc ${prefix}/bin/g95 |
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46 | build.env-append F77=${fc} F90=${fc} |
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47 | } |
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48 | |
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49 | default_variants +gcc43 |
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