Revisit usage of overwrite_x parameter#185
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Pull Request Overview
This PR removes the deprecated overwrite_x parameter, drops the old scipy.fftpack interface, and switches all internal and user-facing calls to use the new out keyword; it also fixes a bug when both s and out are provided for N-D FFTs.
- Remove entire
scipy.fftpackinterface and its tests - Replace
overwrite_xwithoutin all APIs, implementations, and tests - Add new tests covering the
outparameter and update documentation and changelog
Reviewed Changes
Copilot reviewed 9 out of 10 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| mkl_fft/tests/test_fftnd.py | Removed overwrite_x, swapped call order, and added out tests |
| mkl_fft/tests/test_fft1d.py | Replaced in-place overwrite_x tests with out, removed old pack tests |
| mkl_fft/interfaces/_scipy_fftpack.py | Dropped legacy scipy.fftpack wrapper |
| mkl_fft/interfaces/_scipy_fft.py | Added helper to translate overwrite_x into out, updated calls |
| mkl_fft/_mkl_fft.py | Removed overwrite_x from public FFT function signatures |
| mkl_fft/_fft_utils.py | Refactored internal loops to use out and dropped overwrite_x |
| mkl_fft/init.py | Removed rfftpack/irfftpack exports |
| README.md | Updated signatures to remove overwrite_x |
| CHANGELOG.md | Documented dropped support and bug fix related to out |
Files not reviewed (1)
- mkl_fft/_pydfti.pyx: Language not supported
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Co-authored-by: ndgrigorian <46709016+ndgrigorian@users.noreply.github.com>
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Numpy tests are green with this PR |
antonwolfy
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Sep 11, 2025
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LGTM!
@ndgrigorian would you mind to merge this?
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scipy.fftpackis deprecated and with the following changesmkl_fftinterface forscipy.fftpackstops working properly therefore the support forscipy.fftpackis dropped.With introducing
outkwarg in add support foroutkeyword #157, havingoverwrite_xkwarg becomes redundant therefore it is removed andmkl_fft.interfaces.scipy_fftis appropriately adjusted for this change.mkl_fftincludes a bug similar to what explained here in NumPy which is resolved in this PR.