Changelog for python3-Bottleneck-debuginfo-1.0.0-3.3.x86_64.rpm :

* Mon Feb 09 2015 arunAATTgmx.de- specfile:
* update copyright year
* removed modname variable- update to version 1.0.0:
* Faster + “python setup.py build” is 18.7 times faster + Function-call overhead cut in half—a big speed up for small input arrays + Arbitrary ndim input arrays accelerated; previously only 1d, 2d, and 3d + bn.nanrankdata is twice as fast for float input arrays + bn.move_max, bn.move_min are faster for int input arrays + No speed penalty for reducing along all axes when input is Fortran ordered
* Smaller + Compiled binaries 14.1 times smaller + Source tarball 4.7 times smaller + 9.8 times less C code + 4.3 times less Cython code + 3.7 times less Python code
* Beware + Requires numpy 1.9.1 + Single API, e.g.: bn.nansum instead of bn.nansum and nansum_2d_float64_axis0 + On 64-bit systems bn.nansum(int32) returns int32 instead of int64 + bn.nansum now returns 0 for all NaN slices (as does numpy 1.9.1) + Reducing over all axes returns, e.g., 6.0; previously np.float64(6.0) + bn.ss() now has default axis=None instead of axis=0 + bn.nn() is no longer in bottleneck
* min_count + Previous releases had moving window function pairs: move_sum, move_nansum + This release only has half of the pairs: move_sum + Instead a new input parameter, min_count, has been added + min_count=None same as old move_sum; min_count=1 same as old move_nansum + If # non-NaN values in window < min_count, then NaN assigned to the window + Exception: move_median does not take min_count as input
* Bug Fixes + Can now install bottleneck with pip even if numpy is not already installed + bn.move_max, bn.move_min now return float32 for float32 input
* Thu May 08 2014 toddrme2178AATTgmail.com- Update to version 0.8.0 - This version of Bottleneck requires NumPy 1.8 - nanargmin and nanargmax behave like the corresponding functions in NumPy 1.8 - nanargmax/nanargmin wrong for redundant max/min values in 1d int arrays
* Tue Oct 22 2013 toddrme2178AATTgmail.com- Update to version 0.7.0 + bn.rankdata() is twice as fast (with input a = np.random.rand(1000000)) + C files now included in github repo; cython not needed to try latest + C files are now generated with Cython 0.19.1 instead of 0.16 + Test bottleneck across multiple python/numpy versions using tox + Source tarball size cut in half
* Fri Jun 22 2012 saschpeAATTsuse.de- %py_requires is only needed for SLE_11_SP2 (and older), newer Python package releases generate the RPM requires for the Python ABI automatically
* Fri Jun 22 2012 saschpeAATTsuse.de- Update to version 0.6.0: + replace(arr, old, new), e.g, replace(arr, np.nan, 0) + nn(arr, arr0, axis) nearest neighbor and its index of 1d arr0 in 2d arr + anynan(arr, axis) faster alternative to np.isnan(arr).any(axis) + allnan(arr, axis) faster alternative to np.isnan(arr).all(axis) + Python 3.2 support (may work on earlier verions of Python 3) + C files are now generated with Cython 0.16 instead of 0.14.1 + Upgrade numpydoc from 0.3.1 to 0.4 to support Sphinx 1.0.1 + Support for Python 2.5 dropped + Default axis for benchmark suite is now axis=1 (was 0) + #31 Confusing error message in partsort and argpartsort + #32 Update path in MANIFEST.in + #35 Wrong output for very large (2
*
*31) input arrays
* Fri Jun 01 2012 toddrme2178AATTgmail.com- spec file cleanups- fix license tag
* Mon Feb 27 2012 scorotAATTfree.fr- version 0.5.0
* Sat Jan 22 2011 scorotAATTgtt.fr- Initial release