Result for 0CB9A18ECFD2F8A016D99C6AE91239C2998424D5

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyfftw/__pycache__/config.cpython-38.pyc
FileSize2583
MD5FFD7D45E377A0834512C846A3353DAC8
SHA-10CB9A18ECFD2F8A016D99C6AE91239C2998424D5
SHA-256F26A79A0BD2B6EF913B843764E4CAF7CC96816BBDA688337EA797F4FE5D7610C
SSDEEP48:9WAJDvV1UY9lqW82PV0a2UOrZKym7LINWc09qG:9W6dvLqW86VgFKBb0G
TLSHT1FA5172C18384F76DFCB5F5B6D0AF2A2000B19637168880370905E54FBF5A689D67698F
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
MD5F2BD64D84C1F26573DD9C74C47A9ED55
PackageArchs390x
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
PackageRelease12.92
PackageVersion0.12.0
SHA-13B12DA7CC3630201485B7E1388483CA4E34B986E
SHA-2566BB15093DA9052E41D55DA98A1D1D1AB6C609BB4186EF45C5E943E7473159498