Result for 38FC0A84C9255413B5FFE2E475A7BB05FA5FEB9B

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyfftw/__pycache__/_version.cpython-38.pyc
FileSize533
MD57FBC9EBD34AE8E8FF33A8E151D3CAEE9
SHA-138FC0A84C9255413B5FFE2E475A7BB05FA5FEB9B
SHA-256A7370AFA2B04595937DC3B9A70280AF17FBEB4EF3AA9ACF838EF3B77AA99D5A9
SSDEEP12:OG8YzIn8nB/tkpq14utx1CxEHjT8Vl/fi6gIixxvJNo:6YtnB/tko1Lb1CxEDoiDxNo
TLSHT1B5F09E50CF84ED33F0ACBF745470126523785DE3720988174A5851E19D099FA0A73F04
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