Result for 2519A3CEF69679B7DB9DA04E086ADD9A68C40064

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/pyfftw/__pycache__/__init__.cpython-36.pyc
FileSize1489
MD5904042C00A7BA261211304EB7C77B131
SHA-12519A3CEF69679B7DB9DA04E086ADD9A68C40064
SHA-256478FF748F93C47691A215F4301D803E9318090319991AA7EC2A46C7B381C1B71
SSDEEP24:lVtcvS2eAf92FDFp/IaD3sPciMoR/n7J9wBeQkbQR6vv5G6+Ob89Kyt4ve:TGheAfen+cibR/7YMNDvvcdB9xt4W
TLSHT1073162170C48BA3FF0C7FBB2925B911A8570C670F3F4C445322A477A1902DCC836AB48
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
MD5323506CEF08B4F307635C54DDC7F9BB9
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
PackageReleaselp153.12.2
PackageVersion0.12.0
SHA-13C589F977F2F009B04FBD46877866E3E44269CD8
SHA-256AF29652EC712FEF67868A7736553A35F5709154282C992B7FC51B30DD809CF68