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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 00:02:57 2025
md5 checksum c716cfb0ad76f3c0f0bb0e9586e09bd4
arch x86_64
build py38h23d657b_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 >=1.14.6,<2.0a0, python >=3.8,<3.9.0a0
license BSD 3-Clause
md5 c716cfb0ad76f3c0f0bb0e9586e09bd4
name mkl_fft
platform linux
sha1 0408fcf2b3dc802f00de2dd05037f02cb8ef8a86
sha256 0d51b07d7b0e3eefd4560a98e144ec49ff4a37bba106d2f4b4b5db18ab480528
size 160576
subdir linux-64
timestamp 1600444504891
version 1.2.0