acb14efbdb
1 OBS-URL: https://build.opensuse.org/request/show/260050 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numpy?expand=0&rev=43
145 lines
6.3 KiB
Plaintext
145 lines
6.3 KiB
Plaintext
-------------------------------------------------------------------
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Thu Nov 6 11:38:20 UTC 2014 - toddrme2178@gmail.com
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- Update to 1.9.1: Bugfix release
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* gh-5184: restore linear edge behaviour of gradient to as it was in < 1.9.
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The second order behaviour is available via the `edge_order` keyword
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* gh-4007: workaround Accelerate sgemv crash on OSX 10.9
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* gh-5100: restore object dtype inference from iterable objects without
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`len()`
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* gh-5163: avoid gcc-4.1.2 (red hat 5) miscompilation causing a crash
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* gh-5138: fix nanmedian on arrays containing inf
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* gh-5203: copy inherited masks in MaskedArray.__array_finalize__
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* gh-2317: genfromtxt did not handle filling_values=0 correctly
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* gh-5067: restore api of npy_PyFile_DupClose in python2
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* gh-5063: cannot convert invalid sequence index to tuple
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* gh-5082: Segmentation fault with argmin() on unicode arrays
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* gh-5095: don't propagate subtypes from np.where
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* gh-5104: np.inner segfaults with SciPy's sparse matrices
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* gh-5136: Import dummy_threading if importing threading fails
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* gh-5148: Make numpy import when run with Python flag '-OO'
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* gh-5147: Einsum double contraction in particular order causes ValueError
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* gh-479: Make f2py work with intent(in out)
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* gh-5170: Make python2 .npy files readable in python3
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* gh-5027: Use 'll' as the default length specifier for long long
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* gh-4896: fix build error with MSVC 2013 caused by C99 complex support
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* gh-4465: Make PyArray_PutTo respect writeable flag
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* gh-5225: fix crash when using arange on datetime without dtype set
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* gh-5231: fix build in c99 mode
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-------------------------------------------------------------------
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Mon Sep 8 10:01:09 UTC 2014 - toddrme2178@gmail.com
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- Update to 1.9.0
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Highlights
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* Numerous performance improvements in various areas, most
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notably indexing and operations on small arrays are
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significantly faster. Indexing operations now also release the
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GIL.
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* Addition of nanmedian and nanpercentile rounds out the
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nanfunction set.
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- Remove upstreamed numpy-double-double-le.patch
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- Add numpy-1.9.0-remove-__declspec.patch
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Fixes spurious warnings during build. These warnings are related
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to a windows-specific function that is not built, so the patch
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just removed the function.
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See:
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http://lists.opensuse.org/opensuse-packaging/2014-09/msg00004.html
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- Added patch tag for numpy-buildfix.patch
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-------------------------------------------------------------------
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Mon Aug 11 10:09:38 UTC 2014 - toddrme2178@gmail.com
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- Update to 1.8.2: Bugfix release
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* gh-4836: partition produces wrong results for multiple selections in equal ranges
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* gh-4656: Make fftpack._raw_fft threadsafe
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* gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin
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* gh-4642: Hold GIL for converting dtypes types with fields
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* gh-4733: fix np.linalg.svd(b, compute_uv=False)
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* gh-4853: avoid unaligned simd load on reductions on i386
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* gh-4722: Fix seg fault converting empty string to object
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* gh-4613: Fix lack of NULL check in array_richcompare
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* gh-4774: avoid unaligned access for strided byteswap
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* gh-650: Prevent division by zero when creating arrays from some buffers
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* gh-4602: ifort has issues with optimization flag O2, use O1
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- Switch to pypi download location
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- Changed Url to current home page
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- Minor spec file cleanups
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-------------------------------------------------------------------
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Mon Apr 14 05:24:31 UTC 2014 - arun@gmx.de
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- bugfix release 1.8.1
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-------------------------------------------------------------------
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Tue Feb 4 00:55:42 UTC 2014 - dvaleev@suse.com
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- add numpy-double-double-le.patch for ppc64le
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-------------------------------------------------------------------
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Thu Oct 31 10:17:25 UTC 2013 - toddrme2178@gmail.com
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- Update to 1.8.0
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Highlights:
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* New, no 2to3, Python 2 and Python 3 are supported by a common code base.
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* New, gufuncs for linear algebra, enabling operations on stacked arrays.
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* New, inplace fancy indexing for ufuncs with the ``.at`` method.
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* New, ``partition`` function, partial sorting via selection for fast median.
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* New, ``nanmean``, ``nanvar``, and ``nanstd`` functions skipping NaNs.
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* New, ``full`` and ``full_like`` functions to create value initialized arrays.
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* New, ``PyUFunc_RegisterLoopForDescr``, better ufunc support for user dtypes.
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* Numerous performance improvements in many areas.
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- Add a new flag to easily enable/disable atlas support for if it
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ever gets fixed in the future
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- Rebase numpy-buildfix.patch
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-------------------------------------------------------------------
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Thu Aug 1 11:52:47 UTC 2013 - speilicke@suse.com
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- The *.egg-info is a file, not a directory
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-------------------------------------------------------------------
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Fri May 3 22:27:24 UTC 2013 - toddrme2178@gmail.com
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- Update to 1.7.1
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* Bugfixes
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-------------------------------------------------------------------
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Tue Mar 12 06:21:52 UTC 2013 - highwaystar.ru@gmail.com
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- update to 1.7.0
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* This release includes several new features as well as numerous
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bug fixes and refactorings
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Highlights:
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- ``where=`` parameter to ufuncs (allows the use of boolean
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arrays to choose where a computation should be done)
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- ``vectorize`` improvements (added 'excluded' and 'cache'
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keyword, general cleanup and bug fixes)
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- ``numpy.random.choice`` (random sample generating function)
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New Features:
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- Reduction UFuncs Generalize axis= Parameter
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- Reduction UFuncs New keepdims= Parameter
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- Datetime support
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- Custom formatter for printing arrays
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- New function numpy.random.choice
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- New function isclose
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- Preliminary multi-dimensional support in the polynomial package
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- Ability to pad rank-n arrays
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- New argument to searchsorted
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- Added experimental support for the AArch64 architecture.
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* For additional details check release notes at
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http://sourceforge.net/projects/numpy/files/NumPy/1.7.0/
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- numpy-aarch64.diff: removed, now upstream
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-------------------------------------------------------------------
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Fri Jun 1 12:08:16 UTC 2012 - toddrme2178@gmail.com
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- Remove blas/lapack tests since these build successfully on all
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targets now
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- Add documentation packages
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These are separate packages because a lot of packages depend on
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numpy, so building the documentation inside the base spec file
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would slow down the build process for the entire project
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