baserev update by copy to link target

• Files Changed
• Browse Source

- Revert refresh of patch cython3.patch, it's not needed

• Files Changed
• Browse Source

- Add python312.patch gh#pyFFTW/pyFFTW#370
- Remove shebangs from python files
- Use fdupes to remove duplicates

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Add upstream cython3.patch to fix the build

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Use %pytest_arch instead of just %pytest

• Files Changed
• Browse Source

- Fix package in files

• Files Changed
• Browse Source

- 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)

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- skip python36: NEP 29 makes python36-numpy and -scipy unavailable
  in TW
- Don't build inplace for tests, drop deprecated setup.py test
  command

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- 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.

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Add patch:
  * 265.patch (Fix Factory builds)
    https://github.com/pyFFTW/pyFFTW/pull/265

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- 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).

• Files Changed
• Browse Source

converted link to branch

• Files Changed
• Browse Source

• Browse Source