6ee1857f31
1 OBS-URL: https://build.opensuse.org/request/show/530454 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-Bottleneck?expand=0&rev=6
129 lines
5.1 KiB
Plaintext
129 lines
5.1 KiB
Plaintext
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Wed Sep 27 22:20:10 UTC 2017 - arun@gmx.de
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- update to version 1.2.1:
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* #156 Installing bottleneck when two versions of NumPy are present
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* #157 Compiling on Ubuntu 14.04 inside a Windows 7 WMware
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* #159 Occasional segmentation fault in nanargmin, nanargmax,
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median, and nanmedian when all of the following conditions are
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met: axis is None, input array is 2d or greater, and input array
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is not C contiguous.
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* #163 Reducing np.array([2**31], dtype=np.int64) overflows on
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Windows
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Wed Apr 19 18:37:17 UTC 2017 - toddrme2178@gmail.com
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- Implement single-spec version.
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Mon Nov 14 14:24:23 UTC 2016 - dmueller@suse.com
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- update to 1.2.0:
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This release is a complete rewrite of Bottleneck.
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- Bottleneck is now written in C
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- Cython is no longer a dependency
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- Source tarball size reduced by 80%
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- Build time reduced by 66%
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- Install size reduced by 45%
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Mon Apr 27 19:23:55 UTC 2015 - benoit.monin@gmx.fr
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- update to version 1.0.0:
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* "python setup.py build" is 18.7 times faster
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* Function-call overhead cut in half---a big speed up for small
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input arrays
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* Arbitrary ndim input arrays accelerated; previously only 1d,
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2d, and 3d
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* bn.nanrankdata is twice as fast for float input arrays
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* bn.move_max, bn.move_min are faster for int input arrays
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* No speed penalty for reducing along all axes when input is
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Fortran ordered
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* Compiled binaries 14.1 times smaller
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* Source tarball 4.7 times smaller
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* 9.8 times less C code
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* 4.3 times less Cython code
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* 3.7 times less Python code
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* Requires numpy 1.9.1
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* Single API, e.g.: bn.nansum instead of bn.nansum and
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nansum_2d_float64_axis0
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* On 64-bit systems bn.nansum(int32) returns int32 instead of
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int64
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* bn.nansum now returns 0 for all NaN slices (as does numpy
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1.9.1)
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* Reducing over all axes returns, e.g., 6.0; previously
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np.float64(6.0)
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* bn.ss() now has default axis=None instead of axis=0
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* bn.nn() is no longer in bottleneck
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* Previous releases had moving window function pairs: move_sum,
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move_nansum
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* This release only has half of the pairs: move_sum
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* Instead a new input parameter, min_count, has been added
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* min_count=None same as old move_sum; min_count=1 same as old
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move_nansum
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* If # non-NaN values in window < min_count, then NaN assigned
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to the window
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* Exception: move_median does not take min_count as input
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* Can now install bottleneck with pip even if numpy is not
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already installed
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* bn.move_max, bn.move_min now return float32 for float32 input
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- increase required numpy version to 1.9.1
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Thu May 8 10:58:17 UTC 2014 - toddrme2178@gmail.com
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- Update to version 0.8.0
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- This version of Bottleneck requires NumPy 1.8
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- nanargmin and nanargmax behave like the corresponding functions in NumPy 1.8
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- nanargmax/nanargmin wrong for redundant max/min values in 1d int arrays
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Tue Oct 22 12:07:46 UTC 2013 - toddrme2178@gmail.com
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- Update to version 0.7.0
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+ bn.rankdata() is twice as fast (with input a = np.random.rand(1000000))
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+ C files now included in github repo; cython not needed to try latest
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+ C files are now generated with Cython 0.19.1 instead of 0.16
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+ Test bottleneck across multiple python/numpy versions using tox
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+ Source tarball size cut in half
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Fri Jun 22 13:11:43 UTC 2012 - saschpe@suse.de
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- %py_requires is only needed for SLE_11_SP2 (and older), newer Python
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package releases generate the RPM requires for the Python ABI automatically
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Fri Jun 22 12:25:12 UTC 2012 - saschpe@suse.de
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- Update to version 0.6.0:
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+ replace(arr, old, new), e.g, replace(arr, np.nan, 0)
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+ nn(arr, arr0, axis) nearest neighbor and its index of 1d arr0 in 2d arr
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+ anynan(arr, axis) faster alternative to np.isnan(arr).any(axis)
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+ allnan(arr, axis) faster alternative to np.isnan(arr).all(axis)
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+ Python 3.2 support (may work on earlier verions of Python 3)
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+ C files are now generated with Cython 0.16 instead of 0.14.1
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+ Upgrade numpydoc from 0.3.1 to 0.4 to support Sphinx 1.0.1
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+ Support for Python 2.5 dropped
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+ Default axis for benchmark suite is now axis=1 (was 0)
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+ #31 Confusing error message in partsort and argpartsort
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+ #32 Update path in MANIFEST.in
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+ #35 Wrong output for very large (2**31) input arrays
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-------------------------------------------------------------------
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Fri Jun 1 09:05:36 UTC 2012 - toddrme2178@gmail.com
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- spec file cleanups
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- fix license tag
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-------------------------------------------------------------------
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Mon Feb 27 21:55:40 UTC 2012 - scorot@free.fr
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- version 0.5.0
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Fri Jan 22 00:00:00 UTC 2011 - scorot@gtt.fr
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- Initial release
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