Result for 16AFD7A8BF57232DA2E342B60393382A543CCEB8

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/pyfftw/__pycache__/config.cpython-36.pyc
FileSize2538
MD5B3E52649930BD04B6F7CAD43BFD1014A
SHA-116AFD7A8BF57232DA2E342B60393382A543CCEB8
SHA-25659031F73325178AED52040B5217935E35859784926CFF4B6DB05FDA4E0D1CB73
SSDEEP48:3WAJTsTG/1U4bnlYA9u82kg7d8hYOOrZfssbC2iXZJBQHc0q9NeX:3W6sKfblYmu8Rg7tFfse1c1QHzceX
TLSHT19E5165C28B8DFB3DF8B5F5F9E02F262205E0A22316C880331815D02F5D9B585D97295A
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
MD5921710A2D41118E875A48F9CEB2A0B09
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
PackageReleaselp154.3.5
PackageVersion0.12.0
SHA-15B0F221C0CBF182E795FEFB17CBAE97AE03B5BBA
SHA-256F9B568F5C3D5C4EDBC2E3921F6D683425F2E65BAEB2D8C39F67FB88FEC6BFF14