[SCM] efficient 2D data-plotting library branch, master, updated. debian/2.1.6-2-4-gc4ae4ab
Picca Frédéric-Emma?==?UTF-8?Q?nuel
picca at debian.org
Fri Feb 24 20:25:39 UTC 2012
The following commit has been merged in the master branch:
commit c4ae4ab373d1fa78111ea17e0cc8ae8ca9b1ef91
Author: Picca Frédéric-Emmanuel <picca at debian.org>
Date: Fri Feb 24 21:25:29 2012 +0100
fix the debian control file with cme
diff --git a/debian/control b/debian/control
index fc6ba36..b7b058b 100644
--- a/debian/control
+++ b/debian/control
@@ -1,33 +1,33 @@
Source: guiqwt
-Section: science
-Priority: extra
Maintainer: Debian Science Maintainers <debian-science-maintainers at lists.alioth.debian.org>
Uploaders: Picca Frédéric-Emmanuel <picca at debian.org>
+Section: science
+Priority: extra
Build-Depends: debhelper (>= 8),
- gfortran,
- python-all-dev,
- python-guidata (>= 1.3.2),
- python-numpy,
- python-qwt5-qt4,
- python-sphinx
-X-Python-Version: >= 2.6
+ gfortran,
+ python-all-dev,
+ python-guidata,
+ python-numpy,
+ python-qwt5-qt4,
+ python-sphinx
Standards-Version: 3.9.2
-Vcs-Git: git://anonscm.debian.org/debian-science/packages/guiqwt.git
Vcs-Browser: http://anonscm.debian.org/gitweb/?p=debian-science/packages/guiqwt.git
+Vcs-Git: git://anonscm.debian.org/debian-science/packages/guiqwt.git
Homepage: http://code.google.com/p/guiqwt/
+X-Python-Version: >= 2.6
Package: python-guiqwt
-Section: python
Architecture: any
+Section: python
Depends: ${shlibs:Depends},
- ${misc:Depends},
- ${python:Depends},
- ${sphinxdoc:Depends},
- python-guidata (>= 1.3.2),
- python-h5py,
- python-imaging (>= 1.1.6),
- python-qwt5-qt4 (>= 5.2),
- python-scipy (>= 0.7)
+ ${misc:Depends},
+ ${python:Depends},
+ ${sphinxdoc:Depends},
+ python-guidata,
+ python-h5py,
+ python-imaging,
+ python-qwt5-qt4 (>= 5.2),
+ python-scipy (>= 0.7)
Recommends: python-dicom
Suggests: spyder (>= 2.0.10)
Provides: ${python:Provides}
@@ -36,4 +36,5 @@ Description: efficient 2D data-plotting library
(curve/image visualization and related tools) for signal/image processing
application development and interactive computing. It's based on the
scientific modules NumPy and SciPy, and the PyQwt plotting widgets for
- PyQt4 graphical user interfaces.
\ No newline at end of file
+ PyQt4 graphical user interfaces.
+
--
efficient 2D data-plotting library
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