[ITP] python-h5py 2.2.0

Chris LeBlanc crleblanc@gmail.com
Mon Jan 27 00:48:00 GMT 2014

Hi Marco,

That's excellent, thanks for having another look.  The newer
instructions you linked to are fine, but the old instructions for
submitting a package don't refer to the new upload method
(http://cygwin.com/setup.html).  Not a big deal, but may cause some
confusion for other people adding new packages.

I'll mail my SSH public key to this list as per the instructions,
upload the packages once I get confirmation of my key, and send an
announcement to cygwin-announce once that's finished.  Hopefully
that's it, but please let me know if there's anything else I should

Thanks again,

On Fri, Jan 24, 2014 at 6:51 PM, Marco Atzeri <marco.atzeri@gmail.com> wrote:
> On 16/01/2014 03:36, Chris LeBlanc wrote:
>> 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
> for me it was already GTG (Good TO Go) and I had the impression also
> Corinna had no objection.
> Justed rebuilt your python-h5py-2.2.1-1 and it builds and packages fine.
> please follow
> https://sourceware.org/cygwin-apps/package-upload.html
> for upload instruction
> Regards
> Marco

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