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
