Ubuntu
h5py package

h5py 2.6.0-1 source package in Ubuntu

Changelog

h5py (2.6.0-1) unstable; urgency=medium

  * New upstream release.
  * d/gbp.conf: no patch numbering.
  * Update patch queue:
    - Drop 0002-prevent-cython-dep.patch, no longer required.
    - Drop drop-mpiposix.patch, unused.
    - Refresh Disable-usage-of-rpath.patch.
  * Update build dependencies:
    - Raise versioned depends on cython to 0.19.
    - Drop versioned depends on numpy and sphinx.
  * Update copyright:
    - add myself to the copyright holders of the debian files.
    - add missing copyright information for vendored files.
    - cme fix, wrap and sort.
  * Add patch disabling broken tests acknowledged upstream.
    Thanks to Gilles Filippini. (Closes: #797476)

 -- Ghislain Antony Vaillant <email address hidden>  Tue, 02 Feb 2016 16:11:06 +0000

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release universe python

Downloads

File Size SHA-256 Checksum
h5py_2.6.0-1.dsc 2.5 KiB ce1bbcf979e4ca94cac234effb430351ce31d3e1d707bf9c134807a1438286ad
h5py_2.6.0.orig.tar.gz 240.7 KiB 7fec1d6f19418b3a624bbb90c7baa105952c0bb6cfbb6676f436fac44fc6ccfb
h5py_2.6.0-1.debian.tar.xz 6.1 KiB 282875e8a73039ad1f0bc3b6a42c30cb4ddec1f8456901f4ccc8f9cbadddafa0

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Binary packages built by this source

python-h5py: No summary available for python-h5py in ubuntu yakkety.

No description available for python-h5py in ubuntu yakkety.

python-h5py-dbg: debug extension for h5py (Python 2)

 HDF5 for Python (h5py) is a general-purpose Python interface to the
 Hierarchical Data Format library, version 5. HDF5 is a versatile, mature
 scientific software library designed for the fast, flexible storage of
 enormous amounts of data.
 .
 From a Python programmer's perspective, HDF5 provides a robust way to
 store data, organized by name in a tree-like fashion. You can create
 datasets (arrays on disk) hundreds of gigabytes in size, and perform
 random-access I/O on desired sections. Datasets are organized in a
 filesystem-like hierarchy using containers called "groups", and accessed
 using the tradional POSIX /path/to/resource syntax.
 .
 H5py provides a simple, robust read/write interface to HDF5 data from
 Python. Existing Python and Numpy concepts are used for the interface;
 for example, datasets on disk are represented by a proxy class that
 supports slicing, and has dtype and shape attributes. HDF5 groups are
 presented using a dictionary metaphor, indexed by name.
 .
 This package provides h5py for the Python 2 debug interpreter.

python-h5py-doc: No summary available for python-h5py-doc in ubuntu yakkety.

No description available for python-h5py-doc in ubuntu yakkety.

python3-h5py: No summary available for python3-h5py in ubuntu zesty.

No description available for python3-h5py in ubuntu zesty.

python3-h5py-dbg: debug extension for h5py (Python 3)

 HDF5 for Python (h5py) is a general-purpose Python interface to the
 Hierarchical Data Format library, version 5. HDF5 is a versatile, mature
 scientific software library designed for the fast, flexible storage of
 enormous amounts of data.
 .
 From a Python programmer's perspective, HDF5 provides a robust way to
 store data, organized by name in a tree-like fashion. You can create
 datasets (arrays on disk) hundreds of gigabytes in size, and perform
 random-access I/O on desired sections. Datasets are organized in a
 filesystem-like hierarchy using containers called "groups", and accessed
 using the tradional POSIX /path/to/resource syntax.
 .
 H5py provides a simple, robust read/write interface to HDF5 data from
 Python. Existing Python and Numpy concepts are used for the interface;
 for example, datasets on disk are represented by a proxy class that
 supports slicing, and has dtype and shape attributes. HDF5 groups are
 presented using a dictionary metaphor, indexed by name.
 .
 This package provides h5py for the Python 3 debug interpreter.