Result for 165B105C5338BAC7C630A577B37017AB6D0EB48E

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/pyfftw/interfaces/__pycache__/numpy_fft.cpython-36.pyc
FileSize9302
MD502EA3731B20F8B0206F69A42A45CD47C
SHA-1165B105C5338BAC7C630A577B37017AB6D0EB48E
SHA-256C84B796DF769F1A760F104E46BE17751B409A3834610276AC9F40BECE568978F
SSDEEP192:N7EVOX9B/0jGWlDhklQqal4TlN8laslHtlIClBNlmLlwQlvWlLA1qAt:NIVOXvsjGW1CujyTX8AsBtuCbN8LeQBb
TLSHT197123317A90037F3F882F5F070DB56969331C11A364AC146211851663AE7CEBDAA7FEE
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