Control: tags -1 + pending Since pygtk finally compiled on ia64, I have uploaded to DELAYED/2 a NMU of python-numpy. The debdiff is attached.
-- .''`. Sébastien Villemot : :' : Debian Developer `. `' http://www.dynare.org/sebastien `- GPG Key: 4096R/381A7594
diff -Nru python-numpy-1.6.2/debian/changelog python-numpy-1.6.2/debian/changelog
--- python-numpy-1.6.2/debian/changelog 2012-05-30 19:38:42.000000000 +0200
+++ python-numpy-1.6.2/debian/changelog 2013-02-08 21:02:59.000000000 +0100
@@ -1,3 +1,12 @@
+python-numpy (1:1.6.2-1.1) unstable; urgency=low
+
+ * Non-maintainer upload.
+ * debian/control: add versioned Breaks relationship on reverse
+ dependencies of python-numpy that are affected by the
+ NPY_CHAR/PyArray_CHAR ABI breakage (Closes: #685812)
+
+ -- Sébastien Villemot <sebast...@debian.org> Fri, 08 Feb 2013 21:02:56 +0100
+
python-numpy (1:1.6.2-1) unstable; urgency=low
* New upstream release
diff -Nru python-numpy-1.6.2/debian/control python-numpy-1.6.2/debian/control
--- python-numpy-1.6.2/debian/control 2012-04-19 23:27:11.000000000 +0200
+++ python-numpy-1.6.2/debian/control 2013-02-08 21:02:15.000000000 +0100
@@ -16,6 +16,21 @@
Depends: ${python:Depends}, ${shlibs:Depends}, ${misc:Depends}
Suggests: python-numpy-doc, python-numpy-dbg, python-nose (>= 0.10.1), python-dev, gfortran, gcc (>= 4:4.6.1-5)
Provides: ${python:Provides}, ${numpy:Provides}, python-numpy-dev, python-f2py
+Breaks: python-gtk2 (<= 2.24.0-3),
+ python-gtk2-dbg (<= 2.24.0-3),
+ python-glade2 (<= 2.24.0-3),
+ python-visual (<= 1:5.12-1.4+b1),
+ python-enable (<= 4.0.0-2),
+ python-pygame (<= 1.9.1release+dfsg-6),
+ python-rpy (<= 1.0.3-21),
+ pymca (<= 4.5.0-4),
+ shogun-python-static (<= 1.1.0-4),
+ shogun-python-modular (<= 1.1.0-4),
+ shogun-elwms-static (<= 1.1.0-4),
+ python-sidl (<= 1.4.0.dfsg-8) [armhf s390x],
+ python-sidl (<= 1.4.0.dfsg-8+b1) [!armhf !s390x],
+ python-netcdf (<= 2.8-3+b1) [armhf s390x],
+ python-netcdf (<= 2.8-3+b2) [!armhf !s390x]
Description: Numerical Python adds a fast array facility to the Python language
Numpy contains a powerful N-dimensional array object, sophisticated
(broadcasting) functions, tools for integrating C/C++ and Fortran
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