Result for 0347E073F99B9FE5DE4FEE240123FBB5C16C8A85

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/pyfftw/interfaces/__pycache__/scipy_fftpack.cpython-36.pyc
FileSize7935
MD592D2B215891E9DD4E22E09A5C0EF5C68
SHA-10347E073F99B9FE5DE4FEE240123FBB5C16C8A85
SHA-256BE241D2C357F8883B0C180A827E107E6E620D61A1AFF0FC21789714BD2AECD7A
SSDEEP192:WYJcciXYP9RfWNp6CfGhujjUIfqe+dtLk+dd7CanxJf382fv9s:WYJcciXYP9hM7qe+d2+dVnnfB9s
TLSHT1CAF1B80723C03EFBF452F4F4A0D6A2A59322D2A77996D04060A44075BBE7DD64AB5EEC
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