[h5py] 02/03: d/control: fix invalid spaces after full stop chars

[Ghislain Vaillant]

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

commit f29b368d1ac8f333682f7dbed61d24db034e2b68
Author: Ghislain Antony Vaillant <ghisvail at gmail.com>
Date:   Tue Apr 14 12:24:39 2015 +0100

    d/control: fix invalid spaces after full stop chars
---
 debian/control | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/debian/control b/debian/control
index 80e42dc..0ca0b1e 100644
--- a/debian/control
+++ b/debian/control
@@ -33,14 +33,14 @@ Description: General-purpose Python interface to hdf5 (Python 2)
  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
@@ -59,14 +59,14 @@ Description: General-purpose Python interface to hdf5 (Python 3)
  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

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