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Bug#353279: marked as done (ITP: python-numpy -- Python library that adds a fast array facility to the Python language.)

Your message dated Tue, 11 Jul 2006 12:08:05 +0200
with message-id <20060711100805.GC29473@localhost>
and subject line closing old ITP bug
has caused the attached Bug report 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.

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Debian bug tracking system administrator
(administrator, Debian Bugs database)
--- Begin Message --- 
Package: wnpp
Severity: wishlist

* Package name    : python-numpy
  Version         : 0.9.5
  Upstream Author : SciPy Developers <scipy-dev@scipy.org>
* URL or Web page : http://www.numpy.org
  Description     : Python library that adds a fast array facility to the Python language.


This package contains a powerful N-dimensional array
object, sophisticated (broadcasting) functions, tools for integrating
C/C++ and Fortran code, and useful linear algebra, Fourier transform,
and random number capabilities.    It derives from the old Numeric code
base and can be used as a replacement for Numeric.  It also adds the
features introduced by numarray and can be used to replace numarray.
Numeric users should find the transition very easy.  There is a module
(import numpy.lib.convertcode --- see the convertall and fromfile
functions in that module) that can make (most of) the necessary changes
to your Python code that used Numeric to make it work with the new NumPy

This package is needed as the new SciPy version are based on it.

This package will be maintained by the SciPy debian group,
deb-scipy-devel@lists.alioth.debian.org.

 




* License: 
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:

    * Redistributions of source code must retain the above copyright
       notice, this list of conditions and the following disclaimer.

    * Redistributions in binary form must reproduce the above
       copyright notice, this list of conditions and the following
       disclaimer in the documentation and/or other materials provided
       with the distribution.

    * Neither the name of the NumPy Developers nor the names of any
       contributors may be used to endorse or promote products derived
       from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

--- End Message ---
--- Begin Message --- 
Source: python-numpy
Source-Version: 1:0.9.8-2

-- 
Thomas Huriaux

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