pytables-py stable port information

Info2: <<

Package: pytables-py%type_pkg[python]
Version: 2.1.1
Revision: 2
Maintainer: Lev Givon
Type: python (2.4 2.5 2.6)
Distribution: (%type_pkg[python] = 24) 10.4, (%type_pkg[python] = 24) 10.5
Depends: python%type_pkg[python], numpy-py%type_pkg[python] (>= 1.2.0-1), bzip2-shlibs, lzo2-shlibs, hdf5-shlibs (>= 1.6.7-1000)
BuildDepends: bzip2-dev, lzo2, hdf5 (>= 1.6.7-1000)
Source: http://www.pytables.org/download/stable/tables-%v.tar.gz
Source-MD5: fce2100e655e91849b3d73f22274b0c4
CompileScript: <<
%p/bin/python%type_raw[python] setup.py build --cflags='-I%p/include' --lflags='-L%p/lib' --hdf5=%p/ --lzo=%p/ --bzip2=%p/
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InstallScript: <<
%p/bin/python%type_raw[python] setup.py install --cflags='-I%p/include' --lflags='-L%p/lib' --hdf5=%p/ --lzo=%p/ --bzip2=%p/ --root=%d

mv %i/bin/nctoh5 %i/bin/nctoh5-py%type_pkg[python]
mv %i/bin/ptdump %i/bin/ptdump-py%type_pkg[python]
mv %i/bin/ptrepack %i/bin/ptrepack-py%type_pkg[python]
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PostInstScript: <<
update-alternatives --install %p/bin/nctoh5 nctoh5 %p/bin/nctoh5-py%type_pkg[python] %type_pkg[python] --slave %p/bin/ptdump ptdump %p/bin/ptdump-py%type_pkg[python] --slave %p/bin/ptrepack ptrepack %p/bin/ptrepack-py%type_pkg[python]

echo ""
echo "The scripts 'nctoh5','ptdump', and 'ptrepack' installed in"
echo "%p/bin/ are symlinks automatically updated by the"
echo "update-alternatives utility. If you install multiple flavors"
echo "of the pytables package the symlinks will point to the"
echo "higher flavor by default."
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PreRmScript:<<
if [ $1 != "upgrade" ]; then
update-alternatives --remove nctoh5 %p/bin/nctoh5-py%type_pkg[python]
fi
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License: BSD
HomePage: http://www.pytables.org
DocFiles: *.txt doc/*.pdf LICENSES examples/
Description: Hierarchical datasets in Python
DescDetail: <<
PyTables is a Python package for managing hierarchical datasets
designed to efficiently and easily cope with extremely large amounts
of data. It is built on top of the HDF5 library and the NumPy package
(numarray and Numeric are also supported). PyTables features an
object-oriented interface and performance-critical extensions coded in
C (generated using Pyrex) that make it a fast yet extremely
easy-to-use tool for interactively processing and searching through
very large amounts of data. PyTables also optimizes memory and disk
resources so that data occupies much less space than with other
solutions such as relational or object-oriented databases (especially
when compression is used).
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