Result for 19618B022E486E586619539370BB1A2323C9AE9E

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/pyfftw/__pycache__/__init__.cpython-36.pyc
FileSize1490
MD580AE954F244DEC57236D57C9839DE279
SHA-119618B022E486E586619539370BB1A2323C9AE9E
SHA-25674D0F0D59750893277C3E1A5FA3175C20E5E2932E1CBECD4B2D3DAB3C81F8E1C
SSDEEP24:lVtcvS2eAf92FDFp/IaD3sPciMoR/n7J9wBeQkbQR6vv5G6+Ob89KytM5ve:TGheAfen+cibR/7YMNDvvcdB9xtcW
TLSHT1883162170C48BA3FF0CBFBB6925B915A8570C670F3F1C405321A477A1902DCC836AB48
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
MD596623ECC0F1EF3A3C7656D9E5251ED17
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.
PackageNamepython3-pyFFTW
PackageReleaselp152.12.26
PackageVersion0.12.0
SHA-10D035F95A3C4E291CF203ED2949B2D788CEA73EE
SHA-256F4977792484A2CBEB399930E97E3F2F531EF859B01E46F9A0DB64765C34FEDAA