[h5py] 01/08: Add debug extension packages.

[Ghislain Vaillant]

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ghisvail-guest pushed a commit to branch debian/sid
in repository h5py.

commit 72f91b313ed2acf4cb3da747b724401ff7480165
Author: Ghislain Antony Vaillant <ghisvail at gmail.com>
Date:   Fri Jan 22 14:31:41 2016 +0000

    Add debug extension packages.
    
    Gbp-Dch: Short
    Closes: #793789
    Thanks: Picca Frederic-Emmanuel
---
 debian/control | 64 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 64 insertions(+)

diff --git a/debian/control b/debian/control
index 1ad0b0f..3353d6d 100644
--- a/debian/control
+++ b/debian/control
@@ -6,15 +6,21 @@ Section: python
 Priority: optional
 Build-Depends: debhelper (>= 9),
                dh-python,
+               python-all-dbg (>= 2.6.6-3~),
                python-all-dev (>= 2.6.6-3~),
                python-setuptools,
+               python3-all-dbg,
                python3-all-dev,
                python3-setuptools,
                libhdf5-dev,
                python-numpy (>= 1:1.7.1-1~),
+               python-numpy-dbg (>= 1:1.7.1-1~),
                python3-numpy (>= 1:1.7.1-1~),
+               python3-numpy-dbg (>= 1:1.7.1-1~),
                cython (>= 0.17-1~),
+               cython-dbg (>= 0.17-1~),
                cython3 (>= 0.17-1~),
+               cython3-dbg (>= 0.17-1~),
                python-sphinx (>= 1.0.7+dfsg-1~),
                python-six,
                python3-six,
@@ -53,6 +59,35 @@ Description: General-purpose Python interface to hdf5 (Python 2)
  .
  This package provides the Python 2 version of h5py.
 
+Package: python-h5py-dbg
+Architecture: any
+Section: debug
+Priority: extra
+Depends: python-dbg,
+         python-h5py (= ${binary:Version}),
+         ${misc:Depends},
+         ${shlibs:Depends}
+Description: 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.
+
 Package: python3-h5py
 Architecture: any
 Depends: ${shlibs:Depends},
@@ -79,6 +114,35 @@ Description: General-purpose Python interface to hdf5 (Python 3)
  .
  This package provides the Python 3 version of h5py.
 
+Package: python3-h5py-dbg
+Architecture: any
+Section: debug
+Priority: extra
+Depends: python3-dbg,
+         python3-h5py (= ${binary:Version}),
+         ${misc:Depends},
+         ${shlibs:Depends}
+Description: 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.
+
 Package: python-h5py-doc
 Architecture: all
 Section: doc

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