Bug 166143 - pygtk2 should be compiled with Numeric Python support
Summary: pygtk2 should be compiled with Numeric Python support
Keywords:
Status: CLOSED CURRENTRELEASE
Alias: None
Product: Fedora
Classification: Fedora
Component: pygtk2
Version: rawhide
Hardware: All
OS: Linux
medium
medium
Target Milestone: ---
Assignee: John (J5) Palmieri
QA Contact:
URL:
Whiteboard:
Depends On:
Blocks:
TreeView+ depends on / blocked
 
Reported: 2005-08-17 11:38 UTC by Nils Philippsen
Modified: 2013-03-13 04:48 UTC (History)
2 users (show)

Fixed In Version: FC4-update, RAWHIDE
Doc Type: Bug Fix
Doc Text:
Clone Of:
Environment:
Last Closed: 2005-09-22 21:11:22 UTC
Type: ---
Embargoed:


Attachments (Terms of Use)

Description Nils Philippsen 2005-08-17 11:38:19 UTC
... so that I can use gtk.gdk.Pixbuf.get_pixels_array() to modify gdk_pixbuf
images from python. Pretty please? ;-)

Comment 1 Nils Philippsen 2005-08-21 13:40:54 UTC
Dug a little further -- the spec file uses "--enable-numpy" but doesn't
"BuildRequires: python-numeric" so configure won't build with it.

Want me to fix and rebuild?

Comment 2 Stephen Walton 2005-09-22 20:33:31 UTC
This is a Terrible Idea, IMHO, although I see it is now part of the current
pygtk2 update.  First of all, python-numeric is at version 23.7 of Numeric while
the current version is 23.8.  I can't install 23.8 on a new system without doing
something like "rpm -e --force python-numeric" and installing my local version
of 23.8, in which case who knows what happens?  Second, the Numeric package is
about to replaced altogether by the new Python array type.  See 

http://www.scipy.org/wikis/scipy05/abstracts/ArrayObject

for more information.

Comment 3 John (J5) Palmieri 2005-09-22 21:11:22 UTC
* When pygtk switches to using ArrayObject then we will move to that.  

* Why don't you file a bug against python-numeric so it gets updated to the
latest version?

Comment 4 Nils Philippsen 2005-09-22 21:29:54 UTC
Seconded, python-numeric support is needed for certain functionality in pygtk
(e.g. to manipulate in memory images). Frankly, what lies behind that
functionality doesn't matter much to me, as long as it's there.


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