File python-numpy-doc.changes of Package python-numpy

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File python-numpy-doc.changes of Package python-numpy (Revision 52d4d760bef37b7ac8030e11b880d58a)

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Mon Sep  8 10:01:09 UTC 2014 - toddrme2178@gmail.com

- Update to 1.9.0
  Highlights
  * Numerous performance improvements in various areas, most 
    notably indexing and operations on small arrays are 
    significantly faster. Indexing operations now also release the
    GIL.
  * Addition of nanmedian and nanpercentile rounds out the 
    nanfunction set.
- Remove upstreamed numpy-double-double-le.patch
- Add numpy-1.9.0-remove-__declspec.patch
  Fixes spurious warnings during build.  These warnings are related
  to a windows-specific function that is not built, so the patch
  just removed the function.
  See: 
  http://lists.opensuse.org/opensuse-packaging/2014-09/msg00004.html
- Added patch tag for numpy-buildfix.patch

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Mon Aug 11 10:09:38 UTC 2014 - toddrme2178@gmail.com

- Update to 1.8.2: Bugfix release
  * gh-4836: partition produces wrong results for multiple selections in equal ranges
  * gh-4656: Make fftpack._raw_fft threadsafe
  * gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin
  * gh-4642: Hold GIL for converting dtypes types with fields
  * gh-4733: fix np.linalg.svd(b, compute_uv=False)
  * gh-4853: avoid unaligned simd load on reductions on i386
  * gh-4722: Fix seg fault converting empty string to object
  * gh-4613: Fix lack of NULL check in array_richcompare
  * gh-4774: avoid unaligned access for strided byteswap
  * gh-650: Prevent division by zero when creating arrays from some buffers
  * gh-4602: ifort has issues with optimization flag O2, use O1
- Switch to pypi download location
- Changed Url to current home page
- Minor spec file cleanups

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Mon Apr 14 05:24:31 UTC 2014 - arun@gmx.de

- bugfix release 1.8.1

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Tue Feb  4 00:55:42 UTC 2014 - dvaleev@suse.com

- add numpy-double-double-le.patch for ppc64le

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Thu Oct 31 10:17:25 UTC 2013 - toddrme2178@gmail.com

- Update to 1.8.0
  Highlights:
  * New, no 2to3, Python 2 and Python 3 are supported by a common code base. 
  * New, gufuncs for linear algebra, enabling operations on stacked arrays. 
  * New, inplace fancy indexing for ufuncs with the ``.at`` method. 
  * New, ``partition`` function, partial sorting via selection for fast median. 
  * New, ``nanmean``, ``nanvar``, and ``nanstd`` functions skipping NaNs. 
  * New, ``full`` and ``full_like`` functions to create value initialized arrays. 
  * New, ``PyUFunc_RegisterLoopForDescr``, better ufunc support for user dtypes. 
  * Numerous performance improvements in many areas.
- Add a new flag to easily enable/disable atlas support for if it
  ever gets fixed in the future
- Rebase numpy-buildfix.patch

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Thu Aug  1 11:52:47 UTC 2013 - speilicke@suse.com

- The *.egg-info is a file, not a directory

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Fri May  3 22:27:24 UTC 2013 - toddrme2178@gmail.com

- Update to 1.7.1
  * Bugfixes

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Tue Mar 12 06:21:52 UTC 2013 - highwaystar.ru@gmail.com

- update to 1.7.0
 * This release includes several new features as well as numerous
 bug fixes and refactorings
  Highlights:
  - ``where=`` parameter to ufuncs (allows the use of boolean
  arrays to choose where a computation should be done)
  - ``vectorize`` improvements (added 'excluded' and 'cache'
  keyword, general cleanup and bug fixes)
  - ``numpy.random.choice`` (random sample generating function)

New Features:
  - Reduction UFuncs Generalize axis= Parameter
  - Reduction UFuncs New keepdims= Parameter
  - Datetime support
  - Custom formatter for printing arrays
  - New function numpy.random.choice
  - New function isclose
  - Preliminary multi-dimensional support in the polynomial package
  - Ability to pad rank-n arrays
  - New argument to searchsorted
  - Added experimental support for the AArch64 architecture.
 * For additional details check release notes at
   http://sourceforge.net/projects/numpy/files/NumPy/1.7.0/
- numpy-aarch64.diff: removed, now upstream

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Fri Jun  1 12:08:16 UTC 2012 - toddrme2178@gmail.com

- Remove blas/lapack tests since these build successfully on all
  targets now
- Add documentation packages
  These are separate packages because a lot of packages depend on
  numpy, so building the documentation inside the base spec file
  would slow down the build process for the entire project

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