| 1 | # -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8: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 python25 1.0 |
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| 6 | |
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| 7 | name py25-quadtree |
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| 8 | version 0.1.2 |
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| 9 | revision 0 |
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| 10 | categories python |
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| 11 | platforms darwin |
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| 12 | maintainers nomaintainer |
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| 13 | description Quadtree |
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| 14 | long_description \ |
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| 15 | Quadtree: \ |
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| 16 | \ |
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| 17 | Whether for PCL in-memory feature stores, Plone content, or whatever \ |
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| 18 | -- we need a simple spatial index to speed up retrieval of objects \ |
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| 19 | that intersect with a given bounding box. \ |
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| 20 | \ |
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| 21 | The simplest, most tried-and-true, open source spatial index is \ |
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| 22 | shapelib's (http://shapelib.maptools.org) quadtree. It's been \ |
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| 23 | improving the performance of MapServer applications for years. The \ |
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| 24 | quadtree itself is completely separable from any shapefile. We can use \ |
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| 25 | it with arbitrary Python object collections. \ |
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| 26 | |
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| 27 | homepage http://trac.gispython.org/projects/PCL/wiki/QuadTree |
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| 28 | master_sites http://cheeseshop.python.org/packages/source/Q/Quadtree |
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| 29 | distname Quadtree-${version} |
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| 30 | checksums md5 2ace3a8077e4b456e74fc2be870c71f1 |
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| 31 | |
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| 32 | post-destroot { |
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| 33 | eval xinstall -m 644 ${worksrcpath}/PKG-INFO \ |
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| 34 | [glob ${worksrcpath}/*.txt] \ |
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| 35 | ${destroot}${prefix}/share/doc/${name} |
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| 36 | } |
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| 37 | |
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| 38 | livecheck.check regex |
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| 39 | livecheck.url "http://cheeseshop.python.org/packages/source/Q/Quadtree/?C=M;O=D" |
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| 40 | livecheck.regex Quadtree-(\\d+(?:\\.\\d+)*)${extract.suffix} |
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