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python-pyFFTW
python-pyFFTW.changes
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File python-pyFFTW.changes of Package python-pyFFTW
------------------------------------------------------------------- Thu Sep 5 11:25:41 UTC 2024 - Ben Greiner <code@bnavigator.de> - Work around gh#pyFFTW/pyFFTW#378 for GCC14 ------------------------------------------------------------------- Mon Jul 22 22:27:56 UTC 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 12:15:17 UTC 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 14:25:19 UTC 2023 - Markéta Machová <mmachova@suse.com> - Add upstream cython3.patch to fix the build ------------------------------------------------------------------- Wed Feb 15 16:17:34 UTC 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 15:37:13 UTC 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 2 18:02:39 UTC 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 18:23:25 UTC 2020 - Martin Hauke <mardnh@gmx.de> - Add patch: * 265.patch (Fix Factory builds) https://github.com/pyFFTW/pyFFTW/pull/265 ------------------------------------------------------------------- Sat Dec 22 02:44:02 UTC 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 8 00:21:14 UTC 2017 - jengelh@inai.de - Replace future aims in description. ------------------------------------------------------------------- Wed Aug 23 20:40:16 UTC 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 1 10:50:25 UTC 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 19:32:09 UTC 2014 - mardnh@gmx.de - cleanup package ------------------------------------------------------------------- Tue Apr 15 22:00:16 UTC 2014 - mardnh@gmx.de - initial package
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