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 | PortGroup python 1.0 |
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6 | |
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7 | name py-blockcanvas |
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8 | version 4.0.1 |
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9 | categories-append devel |
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10 | maintainers vcn.com:jjstickel openmaintainer |
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11 | description The Enthought visual environment for creating simulation experiments |
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12 | long_description The blockcanvas project provides a visual environment for\ |
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13 | creating simulation experiments, where function and data\ are separated. Thus, you can define your simulation\ algorithm by visually connecting function blocks into\ |
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14 | a data flow network, and then run it with various data\ |
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15 | sets (known as contexts) likewise, you can use the same\ context in a different functional simulation. |
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16 | |
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17 | platforms darwin |
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18 | homepage http://github.enthought.com/blockcanvas |
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19 | master_sites http://www.enthought.com/repo/ets/ |
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20 | distname blockcanvas-${version} |
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21 | |
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22 | checksums md5 b397dec9e83423f19349aebbcb9c3f75 \ |
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23 | sha1 90003d92d77f3c7254ea1f5d34c0d00d527dcb77 \ |
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24 | rmd160 62dd66603eebbfdd67156e8c33b65f657b1015c7 |
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25 | |
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26 | python.versions 25 26 27 |
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27 | python.default_version 27 |
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28 | |
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29 | if {$subport != $name} { |
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30 | depends_build-append port:py${python.version}-distribute |
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31 | depends_lib-append port:py${python.version}-apptools \ |
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32 | port:py${python.version}-scimath\ port:py${python.version}-etsdevtools \ |
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33 | port:py${python.version}-chaco |
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34 | } |
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35 | |
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