[ITP] python-h5py 2.2.0

[Chris LeBlanc <crleblanc at gmail dot com>]

Hello,

H5py (www.h5py.org) is a useful package for managing large scientific
datasets in Python.  The hdf5 library packages already exist in
Cygwin, so there are no additional dependencies and no changes were
needed to compile the C Python extension modules under Cygwin.
Maintaining this package should be pretty light work and I'm happy to
do it.

H5py is a standard package in Debian and Fedora:
http://packages.debian.org/sid/python-h5py
https://admin.fedoraproject.org/pkgdb/acls/name/h5py

I used Cygport to create the archives and setup.hint for version 2.2.0
of h5py.  This is the first time I've used cygport so please let me
know if I've done something incorrectly.  I haven't seen a single repo
for keeping track of these pacakge config files, so made my own github
repo for this file: https://github.com/crleblanc/cygwin_h5py_package.

The h5py package includes a set of unit tests (run with
"h5py.run_tests()" in a Python shell).  I've run these after building
and installing, and they run fine on both 32 and 64 bit.  I haven't
run any large scale tests.

Here are the packages I've created on fresh 32 and 64 bit Cygwin
instances.  I see there is a Cygwin web page for uploading packages,
but this package hasn't been accepted yet so thought I'd do it the old
fashioned way.

32bit:
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/32bit/python-h5py/python-h5py-2.2.0-1-src.tar.xz
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/32bit/python-h5py/python-h5py-2.2.0-1.tar.xz
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/32bit/python-h5py/setup.hint
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/32bit/python-h5py/python-h5py-debuginfo/python-h5py-debuginfo-2.2.0-1.tar.xz
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/32bit/python-h5py/python-h5py-debuginfo/setup.hint

64bit:
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/64bit/python-h5py/python-h5py-2.2.0-1-src.tar.xz
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/64bit/python-h5py/python-h5py-2.2.0-1.tar.xz
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/64bit/python-h5py/setup.hint
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/64bit/python-h5py/python-h5py-debuginfo/python-h5py-debuginfo-2.2.0-1.tar.xz
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/64bit/python-h5py/python-h5py-debuginfo/setup.hint

Setup.hint:

category: Python
requires: libhdf5_8 python python-numpy hdf5
sdesc: "A Pythonic interface to the HDF5 binary data format"
ldesc: "This package lets you store huge amounts of numerical
data, and easily manipulate that data from NumPy. For example, you
can slice into multi-terabyte datasets stored on disk, as if they
were real NumPy arrays. Thousands of datasets can be stored in a
single file, categorized and tagged however you want."

Hopefully this is all the info you need.  I noticed a possible
dependency issue with NumPy, but I'll post that as a different message
on the appropriate list.

Regards,
Chris LeBlanc
GNS Science