Your message dated Tue, 23 Aug 2011 10:32:49 +0000
with message-id <e1qvohp-0001uq...@franck.debian.org>
and subject line Bug#546919: fixed in pycuda 2011.1.3+git20110814-1
has caused the Debian Bug report #546919,
regarding ITP: python-pycuda -- module to access Nvidia's CUDA
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

(NB: If you are a system administrator and have no idea what this
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immediately.)


-- 
546919: http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=546919
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Package: wnpp
Severity: wishlist
Owner: Yaroslav Halchenko <deb...@onerussian.com>


* Package name    : python-pycuda
  Version         : 0.93
  Upstream Author : Andreas Kloeckner <inf...@tiker.net>
* URL             : http://mathema.tician.de/software/pycuda
* License         : MIT
  Programming Lang: C++, Python
  Description     : module to access Nvidia‘s CUDA parallel computation API

PyCUDA lets you access Nvidia‘s CUDA parallel computation API from
Python. Several wrappers of the CUDA API already exist–so what’s so special
about PyCUDA?

 * Object cleanup tied to lifetime of objects. This idiom, often called
   RAII in C++, makes it much easier to write correct, leak- and crash-free 
code.
   PyCUDA knows about dependencies, too, so (for example) it won’t detach from a
   context before all memory allocated in it is also freed.

 * Convenience. Abstractions like pycuda.driver.SourceModule and
   pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with
   Nvidia’s C-based runtime.

 * Completeness. PyCUDA puts the full power of CUDA’s driver API at your
   disposal, if you wish.

 * Automatic Error Checking. All CUDA errors are automatically translated
   into Python exceptions.

 * Speed. PyCUDA’s base layer is written in C++, so all the niceties
   above are virtually free.

 * Helpful Documentation.

To be submitted into contrib section due to dependency on nvcc (non-free, not
yet in Debian either).

Additional things needed to be package prior:
 http://pypi.python.org/pypi/pytools  -- MIT license



--- End Message ---
--- Begin Message ---
Source: pycuda
Source-Version: 2011.1.3+git20110814-1

We believe that the bug you reported is fixed in the latest version of
pycuda, which is due to be installed in the Debian FTP archive:

pycuda_2011.1.3+git20110814-1.debian.tar.gz
  to contrib/p/pycuda/pycuda_2011.1.3+git20110814-1.debian.tar.gz
pycuda_2011.1.3+git20110814-1.dsc
  to contrib/p/pycuda/pycuda_2011.1.3+git20110814-1.dsc
pycuda_2011.1.3+git20110814.orig.tar.gz
  to contrib/p/pycuda/pycuda_2011.1.3+git20110814.orig.tar.gz
python-pycuda-doc_2011.1.3+git20110814-1_all.deb
  to contrib/p/pycuda/python-pycuda-doc_2011.1.3+git20110814-1_all.deb
python-pycuda_2011.1.3+git20110814-1_amd64.deb
  to contrib/p/pycuda/python-pycuda_2011.1.3+git20110814-1_amd64.deb
python-pycuda_2011.1.3+git20110814-1_i386.deb
  to contrib/p/pycuda/python-pycuda_2011.1.3+git20110814-1_i386.deb



A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to 546...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Tomasz Rybak <bogom...@post.pl> (supplier of updated pycuda package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmas...@debian.org)


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Format: 1.8
Date: Sat, 20 Aug 2011 23:02:55 +0200
Source: pycuda
Binary: python-pycuda python-pycuda-doc
Architecture: all amd64 i386 source
Version: 2011.1.3+git20110814-1
Distribution: unstable
Urgency: low
Maintainer: Tomasz Rybak <bogom...@post.pl>
Changed-By: Tomasz Rybak <bogom...@post.pl>
Closes: 546919
Description: 
 python-pycuda-doc - module to access Nvidia‘s CUDA parallel computation API 
(document
 python-pycuda - module to access Nvidia‘s CUDA parallel computation API
Changes: 
 pycuda (2011.1.3+git20110814-1) unstable; urgency=low
 .
   * Initial release (Closes: #546919)
   * Add option in debian/source/ to unapply patches after build.
   * Add override python-py of pytest package
   * Change build scripts to build library for all available Python versions
   * Change package to use python-setuptools package instead of downloading it
   * Delete jquery.js and replace it with link to script from libjs-jquery
   * Force build scripts not to use boost libraries included in the source
   * Remove messages about missing Boost libraries; they are superfluous
     as package is using Debian ones
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