Result for 4B94DC7CC58A3D91945D8BEB056220D19032D37D

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/pyfftw/builders/__pycache__/__init__.cpython-310.pyc
FileSize307
MD577734DDADBBF843436862D10B75CEFED
SHA-14B94DC7CC58A3D91945D8BEB056220D19032D37D
SHA-256A5ED889DF19F833D54D3EFBB4C87B137B91365FC64E99C9834CD983090119947
SSDEEP6:ZFCZ+ydla7HY+eJKlcw5Ri1jgaKw9YJgMr1cDq:jCgydC4+eJaci6gCMgecDq
TLSHT114E072148390823AE98A967493280A2188F12CB16389801F382097248C8F2980C3794D
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
MD5BD070AFBCA6DE10BD799AC2F7C9F0A65
PackageArcharmv7hl
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.
PackageNamepython310-pyFFTW
PackageRelease12.130
PackageVersion0.12.0
SHA-197FDA64BC6A6BC155F958E0366E0F766495C0C15
SHA-25628294C38BEC37957100B3383E0AA155ADBF7BFD3CF4E413382A4B0800834545B