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First release.
fft_c2c(), fft_r2c() and
fft_c2r() compute complex, real-to-complex and
complex-to-real discrete Fourier transforms over any axes of an array,
with SciPy’s crop-or-pad n and
norm = "backward", "ortho",
"forward" or "none" (the unnormalised
convention of fftwtools and stats::fft()).axes = NULL, fft_r2c() and
fft_c2r() halve the first dimension, the contiguous one in
R, as fftwtools’ 2-D and 3-D real transforms do; give axes
explicitly to halve the last axis listed, as SciPy does.zufft_info()$fp_contract is "off" for every
build that cannot fuse multiply-adds, which includes all of CRAN’s.fft_dct() and fft_dst() compute discrete
cosine and sine transforms of types 1 to 4 and their inverses over any
axes, with SciPy’s definitions, norm and
orthogonalize.fft_next_len() and fft_prev_len() find
fast transform lengths; fft_freq(),
fft_rfreq(), fft_shift() and
fft_ishift() are SciPy’s frequency and shift helpers.fft_stats() and mvfft_stats() are drop-in
replacements for stats::fft() and
stats::mvfft().workers runs a transform on several threads, through
zufft’s own lazy thread pool; fft_workers(),
with_fft_workers() and local_fft_workers() set
the default. Results do not depend on the number of threads, and forked
children (parallel::mclapply()) are safe.inst/include/zufft.h let other packages call the transforms
from C with LinkingTo: zufft, from any thread.ZUFFT_CXXFLAGS (for
example to "-march=native") before installing from source
builds zufft for the local CPU on Linux and macOS; see the README.vignette("migrating-from-fftwtools") maps every
fftwtools function to zufft; an article covers scipy.fft
users.zufft_info() reports the vendored ducc0 and SciPy
commits, the SIMD backend and width, fused multiply-add support, the
threading mode and the complex path.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.