Result for 56D44EA826FC6E729A24D1892CEB0849864B78EB

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/pyfftw/interfaces/__pycache__/cache.cpython-310.pyc
FileSize6947
MD54F6A75C1EE49EA97B416C1FC7FE4DDCB
SHA-156D44EA826FC6E729A24D1892CEB0849864B78EB
SHA-256A742657F1F6D2ABEBDFB74B41F570FE2F24DDCC8A56F9B78161E5BA0C6797B02
SSDEEP96:kHvUhZgldaQZzcqRwW7S1Do4NPan90QtYI6Kk/HhT9nxGqY/i9z3xwGPHiFUYTzc:7gnLiWsMiPEVqHvY/i9z3xDPeU
TLSHT17CE196A22B415A7BF9F3F0B5816F23B0D7238136A3756291F04DD87E1F4AAC04978AD5
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