Changelog for python3-pyFFTW-0.12.0-3.33.x86_64.rpm :

* Fri Feb 12 2021 codeAATTbnavigator.de- skip python36: NEP 29 makes python36-numpy and -scipy unavailable in TW- Don\'t build inplace for tests, drop deprecated setup.py test command
* Sun Feb 02 2020 badshah400AATTgmail.com- Update to version 0.12.0: + scipy.fft interface This interface operates like the existing scipy.fftpack interface, but matches the API of the newer scipy.fft module introduced in SciPy 1.4. + test suite was updated to be compatible with more recent dask (gh#pyFFTW/pyFFTW#278). + Cython variable _N was renamed to avoid a name conflict with a preprocessor token on some platforms (gh#pyFFTW/pyFFTW#259). + Cython code has been updated to explicitly use `language_level=3str` for compatibility with a future Cython 3.0 release.- Drop 265.patch: Incorporated upstream.- Update URL and Source URL to point to new github repository.
* Mon Jan 27 2020 mardnhAATTgmx.de- Add patch:
* 265.patch (Fix Factory builds) https://github.com/pyFFTW/pyFFTW/pull/265
* Sat Dec 22 2018 toddrme2178AATTgmail.com- Update to version 0.11.1 + New features
* Dask interface
* Fast transform planning utility
* Expanded support for norm keyword argument in the numpy interfaces
* Support for norm keyword argument in FFTW builders
* Dynamic library detection at build and run time
* OpenMP threading support
* Custom Configuration of Planners and Interfaces + Bugs Fixed
* A platform-dependent bug that results in potentially overwriting a previously computed output upon repeated calls to the numpy interfaces was fixed (#199).
* Fix to potential platform-dependent integer overflow in empty_aligned (#192).
* rfftfreq is now present in the numpy fft interfaces for numpy >= 1.8 (#207) + Other changes
* float16 inputs are now transformed using single rather than double precision.
* The default planning for the numpy and scipy interfaces has changed from FFTW_MEASURE to FFTW_ESTIMATE. This results in faster planning. In cases where the same transform is to be repeated many times, it is likely advantageous to manually specify FFTW_MEASURE instead (or use the FFTW builders to pre-plan the FFT).
* FutureWarnings related to NumPy multiindexing in NumPy 1.15 are avoided by using more modern indexing conventions.
* version number handling is now automatically handled by versioneer
* All documentation is now built and hosted at Read the Docs ( http://pyfftw.readthedocs.io).
* Sun Oct 08 2017 jengelhAATTinai.de- Replace future aims in description.
* Wed Aug 23 2017 toddrme2178AATTgmail.com- Implement single-spec version- Update to version 0.10.4 + Fixed bugs:
* Numpy interface can fail with non-writeable arrays.
* undefined symbol: simd\\_alignment with gcc 5.3.0
* FTBFS: TypeError: can\'t pickle Cython.Compiler.FlowControl.NameAssignment objects + Closed issues:
* pyfftw fails with ImportError/undefined symbol fftwl\\_plan\\_with\\_nthreads
* pyfftw does not appear to be using available wisdom files
* Accuracy of non-power 2 data
* Cannot find fftw3l when installing from pip
* Incorrect links to docs
* PyFFTW returning all zero array after transform...
* Move to separate pyFFTW project page
* Release GIL during planning?
* Merging/sharing wisdom
* scipy interface patching.
* very slow test suite
* setup: some targets should not require numpy to be installed
* 2x margin on the planning timelimit test is inadequate in windows on Complex64
* Mon Feb 01 2016 toddrme2178AATTgmail.com- update to version 0.10.1:
* it seems that pypi has an annoying feature that minor tweaks can\'t be pushed without a new release.- changes from version 0.10.0:
* Closed issues: + Conda downloads are failing + Python 3.4 and WinPython + Installing pyfftw on Anaconda3 on Windows 7 + is python 3.5 supported? + deadlock of cache handler at interpreter shutdown + pyFFTW breaks when forked + build with mingw + Striding in n\\_byte\\_align not on a uniform standard + No exception on wrong arguments of function call of pyfftw.FFTW\\(...\\) + pyfftw vs numpy.fft: faster and slower + simple transposes? + `Datatype not supported` with scipy + Update tutorial with new byte align functions + OS X Installation errors: + Wrong results for pyfftw\'s ifft? + Installing on OS X Mavericks + Install error. Ld cannot find -lfftw3f + new source release with updated licensing + Crash during initialization of FFTW plan for r2c and c2r with Intel compiler + Move FFTW class definition to pyfftw.pxd + Provide transform metadata such as axes and direction + Provide shape and dtype properties + problem with very large arrays: OverflowError: value too large to convert to int + add support for in-place multidimensional r2c transform + Add numpy interface for hfft + add cython as a build dependency + Potential memory leak in caching + Allow GIL to be released with threads=1 + Building for 64bit windows + Test failure using numpy 1.6.2 + Remove the requirement for users to specify alignment + pyfftw.interfaces can only handle numpy arrays
* Merged pull requests: + Release GIL during both single- and multi-thread execution + Support FFTW\\_WISDOM\\_ONLY + Release GIL around FFTW planning + Updated the tutorial to reflect changes with new aligned array + Add description for installing on OS X + close issue \\#8 (More numpy like aligned array creation) + Discrete sine transform imports
* Sat Apr 19 2014 mardnhAATTgmx.de- cleanup package
* Tue Apr 15 2014 mardnhAATTgmx.de- initial package