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| Name: python310-pyFFTW | Distribution: openSUSE Tumbleweed |
| Version: 0.14.0 | Vendor: openSUSE |
| Release: 2.2 | Build date: Thu Sep 5 13:25:41 2024 |
| Group: Development/Languages/Python | Build host: reproducible |
| Size: 702899 | Source RPM: python-pyFFTW-0.14.0-2.2.src.rpm |
| Packager: http://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.
BSD-3-Clause AND GPL-2.0-or-later
* Thu Sep 05 2024 Ben Greiner <code@bnavigator.de>
- Work around gh#pyFFTW/pyFFTW#378 for GCC14
* Mon Jul 22 2024 John Paul Adrian Glaubitz <adrian.glaubitz@suse.com>
- Update to 0.14.0
* Add the header a suitable args to the test compile (#354)
* Cython 3 updates and test build linker flags (#363)
* Add search paths for FFTW on macOS/Apple Silicon hosts (#365)
* Fix conflicting get_platform changes in setup.py (#369)
* Execute in a nogil environment (#375)
* Compatibility Scipy 1.12.0 (#379)
* Support Python 3.12 (#380)
* Fix segfault #346 and race condition #377 (#381)
* Build with Numpy 2.0 + no more Linux i689 + setup PDM (#383)
* Build on MacOS ARM64 (#386)
* Update documentation and fix readthedocs (#388)
* Update CI release (#389)
- Drop patches for issues fixed upstream
* cython3.patch
* python312.patch
* Mon Feb 12 2024 Daniel Garcia <daniel.garcia@suse.com>
- Add python312.patch gh#pyFFTW/pyFFTW#370
- Remove shebangs from python files
- Use fdupes to remove duplicates
* Thu Sep 14 2023 Markéta Machová <mmachova@suse.com>
- Add upstream cython3.patch to fix the build
* Wed Feb 15 2023 Daniel Garcia <daniel.garcia@suse.com>
- Update to 0.13.1:
* fix typo by @MicaelJarniac in #345
* Additional platform support and removal of support for old setups by
@JeppeKlitgaard in #351
- 0.13.0:
* add pyproject.toml (#226)
* Real-to-real transforms (#256)
* Drop testing on Python 2.7 and 3.5 (#285)
* Minor doc changes to README (#305)
* Document PYFFTW_INCLUDE and PYFFTW_LIB_DIR (#311)
* Build wheels on GitHub Actions via cibuildwheel (#318)
* Fixed setup.py and working CI builds (#323)
* Update NumPy and SciPy interfaces with new norm options (take 2) (#330)
* CI: Added the correct gh actions badge and tweaked the name of the workflow
(#331)
* CI: Improved badge to link to the actual workflow (#332)
* remove use of distutils (#333)
* Increase time allowed for cache clearance in test (#334)
* Increase timing in cache tests (#336)
* Fix miscellaneous typos (#337)
* Fri Feb 12 2021 Ben Greiner <code@bnavigator.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 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.
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