Result for 284EAAD1AA83911FEDC39BD049E744C913BF3475

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyfftw/interfaces/__pycache__/numpy_fft.cpython-38.pyc
FileSize8794
MD5EB07BD49629AABA29E1CF7D7476B2795
SHA-1284EAAD1AA83911FEDC39BD049E744C913BF3475
SHA-25638E971CC86E10BDCF98B1A8669F432B171EAAC5FBF27E8353814FD073999FC19
SSDEEP192:rgROX9B/0jGJjgtUotYtGtutetDtpthtAKt/n7:rIOXvsjG5g/GAMsVfTSKZn7
TLSHT1C402641759002BF7F486F2F0B0D605969321C21F348B9546211462663FA7CEA9B66FCF
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