pyFFTW v0.12.0 Release Notes¶
We are happy to announce the release of pyFFTW v0.12.0.
The highlight of this release is the addition of interfaces for the scipy.fft module that was introduced with SciPy 1.4. This release is now compatibile with SciPy 1.4. This release supports Python 2.7 and 3.5-3.8.
pyFFTW is a pythonic wrapper around FFTW 3, the speedy FFT library. The ultimate aim is to present a unified interface for all the possible transforms that FFTW can perform.
Both the complex DFT and the real DFT are supported, as well as on arbitrary axes of abitrary shaped and strided arrays. Operating FFTW in multithreaded mode is supported.
pyFFTW implements the numpy and scipy fft interfaces in order for users to take advantage of the speed of FFTW with minimal code modifications. A dask fft interface is provided as a drop-in replacement for the equivalent module in dask.
New features¶
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.
Bugs Fixed¶
The test suite was updated to be compatible with more recent dask (#278).
The Cython variable _N was renamed to avoid a name conflict with a preprocessor token on some platforms (#259).
Other changes¶
Python 3.4 support has been dropped. pyFFTW now supports Python 2.7 and 3.5-3.8.
The Cython code has been updated to explicitly use language_level=3str for compatibility with a future Cython 3.0 release.
Authors¶
Peter Bell +
Gregory R. Lee
Stefan Peterson +
DWesl +
A total of 4 people contributed PRs to this release. People with a “+” by their names contributed a patch for the first time.
John Kirkham and Henry Gomersall also contributed by helping review PRs.
Issues closed for v0.12¶
Pull requests for v0.12¶
#257: Update install instructions in README
#259: Avoid using “_N”.
#262: Add reference to third-party planfftw package
#265: remove import of non-public _fftpack within the scipy interfaces
#267: DOC: scipy_fftpack does not treat dtypes differently from scipy.fftpack
#269: scipy.fft interface
#271: bump conda package versions on Appveyor
#273: Fix shape argument in scipy_fft interface
#274: Update scipy.fft interface to fix shape handling and add workers argument
#278: Update Dask tests for compatibility with recent Dask
#283: explicitly set the Cython language level