[python-pyqtgraph] 01/01: Add some missing runtime dependencies

Gianfranco Costamagna locutusofborg-guest at moszumanska.debian.org
Fri Aug 1 13:34:05 UTC 2014


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locutusofborg-guest pushed a commit to branch master
in repository python-pyqtgraph.

commit 20e34904d746d0aebd6243eeddc90fa7750433b8
Author: Gianfranco Costamagna <costamagnagianfranco at yahoo.it>
Date:   Fri Aug 1 15:20:13 2014 +0200

    Add some missing runtime dependencies
---
 debian/changelog |  7 +++++++
 debian/control   | 18 ++++++++++++------
 2 files changed, 19 insertions(+), 6 deletions(-)

diff --git a/debian/changelog b/debian/changelog
index f6c7fe9..80daefd 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -1,3 +1,10 @@
+python-pyqtgraph (0.9.8-2) unstable; urgency=medium
+
+  * Add some requied runtime dependencies
+    (mostly taken from binwalk documentation).
+
+ -- Gianfranco Costamagna <costamagnagianfranco at yahoo.it>  Fri, 01 Aug 2014 15:18:08 +0200
+
 python-pyqtgraph (0.9.8-1) unstable; urgency=low
 
   [ Gianfranco Costamagna ]
diff --git a/debian/control b/debian/control
index 90ace31..95f72f7 100644
--- a/debian/control
+++ b/debian/control
@@ -11,11 +11,17 @@ Vcs-Browser: http://anonscm.debian.org/gitweb/?p=debian-science/packages/python-
 
 Package: python-pyqtgraph
 Architecture: all
-Depends: ${python:Depends}, ${misc:Depends}, python-qt4 | python-pyside, python-scipy, python-numpy
-Recommends: python-opengl, python-qt4-gl
+Depends: ${python:Depends}, ${misc:Depends},
+ libqt4-opengl,
+ python-numpy,
+ python-opengl,
+ python-pyside,
+ python-qt4,
+ python-qt4-gl,
+ python-scipy,
 Description: Scientific Graphics and GUI Library for Python
- PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy. 
- It is intended for use in mathematics / scientific / engineering applications. 
- Despite being written entirely in python, the library is very fast due to its 
- heavy leverage of numpy for number crunching and Qt's GraphicsView framework 
+ PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy.
+ It is intended for use in mathematics / scientific / engineering applications.
+ Despite being written entirely in Python, the library is very fast due to its
+ heavy leverage of numpy for number crunching and Qt's GraphicsView framework
  for fast display.

-- 
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