Hi ports --

Attached is a new port, math/h5py. h5py is a Pythonic interface to the
HDF5 binary data format.

pkg/DESCR:
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.

H5py uses straightforward NumPy and Python metaphors, like dictionary
and NumPy array syntax. For example, you can iterate over datasets in a
file, or check out the .shape or .dtype attributes of datasets. You
don't need to know anything special about HDF5 to get started.

In addition to the easy-to-use high level interface, h5py rests on a
object-oriented Cython wrapping of the HDF5 C API. Almost anything you
can do from C in HDF5, you can do from h5py.

Best of all, the files you create are in a widely-used standard binary
format, which you can exchange with other people, including those who
use programs like IDL and MATLAB.
--
This port allows math/veusz to use HDF5. All HDF5 related Veusz tests
pass with this on amd64.

OK?

~Brian

Attachment: h5py.tgz
Description: application/compressed-tar

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