Changelog for python3-pyFFTW-0.11.1-5.3.x86_64.rpm :
Sat Dec 22 13:00:00 2018 Todd R
- 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 8 14:00:00 2017 jengelhAATTinai.de
- Replace future aims in description.

Wed Aug 23 14:00:00 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 1 13:00:00 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 14:00:00 2014 mardnhAATTgmx.de
- cleanup package

Tue Apr 15 14:00:00 2014 mardnhAATTgmx.de
- initial package