Hi Marco,
Thanks for your feedback. I've rebuilt the packages for 2.2.1, and
also for Python 3.
I was running the unit test suite manually after installing h5py by
calling h5py.run_tests(). I've added this to the cygport files under
the src_test() function so we can now test using cygport. I had to
run the unit tests under the staging directory instead of the build
directory, because Cython builds the extension module .dll files in a
temporary build directory, therefore we can't import h5py from the
build dir. The tests pass for Python 2 and 3 for both 32 and 64 bit.
I've updated the files on the FTP site. Thanks for the one-line wget
command, the same command can be used to download the updated files:
wget -r -np -nH --cut-dirs=4
ftp://ftp.gns.cri.nz/pub/claritas/misc/cygwin_h5py_packages/
Thanks for working on the hdf5 package, I was pleased to see this in
Cygwin. I think it could be useful for quite a few packages.
Here is the setup.hint for the Python 3 version of h5py. The only
change here is switching from python/python-numpy to
python3/python3-numpy:
category: Python
requires: libhdf5_8 python3 python3-numpy hdf5
sdesc: "A Pythonic interface to the HDF5 binary data format for Python 3"
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 now ready to go. Please let me know if there's anything else.
Thanks again,
Chris