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| Name: python3-pyFFTW | Distribution: SUSE Linux Enterprise 15 SP3 |
| Version: 0.12.0 | Vendor: openSUSE |
| Release: bp153.1.19 | Build date: Sun Mar 7 02:18:20 2021 |
| Group: Development/Languages/Python | Build host: obs-arm-8 |
| Size: 584584 | Source RPM: python-pyFFTW-0.12.0-bp153.1.19.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://github.com/pyFFTW/pyFFTW | |
| Summary: A pythonic wrapper around FFTW, the FFT library | |
pyFFTW is a pythonic wrapper around the FFTW libary. An interface for all the possible transforms that FFTW can perform is provided. Both the complex DFT and the real DFT are supported, as well as arbitrary axes of abitrary shaped and strided arrays, which makes it almost feature equivalent to standard and real FFT functions of ``numpy.fft`` (indeed, it supports the ``clongdouble`` dtype which ``numpy.fft`` does not). Operating FFTW in multithreaded mode is supported. A comprehensive unittest suite can be found with the source on the github repository.
GPL-2.0-or-later AND BSD-3-Clause
* Sun Feb 02 2020 Atri Bhattacharya <badshah400@gmail.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 Martin Hauke <mardnh@gmx.de>
- Add patch:
* 265.patch (Fix Factory builds)
https://github.com/pyFFTW/pyFFTW/pull/265
* Sat Dec 22 2018 Todd R <toddrme2178@gmail.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 jengelh@inai.de
- Replace future aims in description.
* Wed Aug 23 2017 toddrme2178@gmail.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 toddrme2178@gmail.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 mardnh@gmx.de
- cleanup package
* Tue Apr 15 2014 mardnh@gmx.de
- initial package
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