Updated: python-h5py-2.5.0-1

[Chris LeBlanc <crleblanc@gmail.com>]

Version 2.5.0-1 of python-h5py has been uploaded for both x86 and x86_64.

The h5py package is a Pythonic interface to the HDF5 binary data format.
It 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.

This version of python-h5py has been built with the latest version of
HDF5 (1.8.15-1) and includes the following changes:

HDF5 for Python (h5py) 2.0 represents the first major refactoring of the h5py
codebase since the project’s launch in 2008. Many of the most important
changes are behind the scenes, and include changes to the way h5py interacts
with the HDF5 library and Python. These changes have substantially improved
h5py’s stability, and make it possible to use more modern versions of
HDF5 without
compatibility concerns. It is now also possible to use h5py with Python 3.

For a complete list of changes, please see
http://docs.h5py.org/en/latest/whatsnew/2.0.html.

This version was built without parallel I/O support and does not use MPI.
Cython is a build requirement, which is available on Cygwinports.

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