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NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library. Supports in-place and out-of-place, 1D and ND complex FFT on arrays of single and double precision with arbitrary memory layout, so long as array strides are multiples of its itemsize.

Uploaded Mon Mar 31 00:02:54 2025
md5 checksum a7907679fd422d0b365b7abba03faa2e
arch x86_64
build py38h54f3939_0
depends blas 1.0 mkl, libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2019.4,<2021.0a0, mkl-service >=2,<3.0a0, numpy >=1.16.6,<2.0a0, python >=3.8,<3.9.0a0
license BSD 3-Clause
md5 a7907679fd422d0b365b7abba03faa2e
name mkl_fft
platform linux
sha1 7d1fb8f85be363cc717e8e72ad73de6e72fc095b
sha256 7518b894ad2f3f22c12ea26bc2fe5ab95d8ffb6d280eb63a3a10342f8e944aaa
size 180992
subdir linux-64
timestamp 1614363679071
version 1.3.0