Result for 13C78E2F292AE28E4CD216A6804FC80CBCEF2808

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyfftw/builders/__pycache__/__init__.cpython-38.pyc
FileSize309
MD54ED294C11D6E6A2AE48696844F83A119
SHA-113C78E2F292AE28E4CD216A6804FC80CBCEF2808
SHA-256F2B2BEB3C0E0E9A640F81B5D46438CA6210D896B2086C1671102490C3A1D89C7
SSDEEP6:XFXmCZ+ydla7HY+eJw5Ri1jgavjGiLor1cDGktkn:12CgydC4+eJi6g1iecDyn
TLSHT149E0C2228781DA75E89896B8532957358CB538B1B39E811B2A6017758C8F29C4C3160A
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5FC3FEF2CD221A9A6478E610FB253D368
PackageArchx86_64
PackageDescriptionpyFFTW is a pythonic wrapper around the FFTW libary. An interface for all the possible transforms that FFTW can perform is provided. Both the complex DFT and the real DFT are supported, as well as arbitrary axes of abitrary shaped and strided arrays, which makes it almost feature equivalent to standard and real FFT functions of ``numpy.fft`` (indeed, it supports the ``clongdouble`` dtype which ``numpy.fft`` does not). Operating FFTW in multithreaded mode is supported. A comprehensive unittest suite can be found with the source on the github repository.
PackageNamepython38-pyFFTW
PackageRelease12.152
PackageVersion0.12.0
SHA-126ADCDDA5E3F87145134EBB96F7D2B1F4309E750
SHA-256AB3966B330E01AF32C4100F54AF53357ABE243CBAB2E11F00700E54713AEE59F