Result for 370AD04FBCBA38DD7B540C7AA4EAD49B1E8DC266

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/pyfftw/interfaces/__pycache__/cache.cpython-310.pyc
FileSize6952
MD5D6C8AE581AAFA0734D08B17D0D86778C
SHA-1370AD04FBCBA38DD7B540C7AA4EAD49B1E8DC266
SHA-25628DDD730DA420FEF1CCF5CC3652194E62DCCB54010D31FF4164897B98B9D418C
SSDEEP96:kHvUhZgldaQZzcqRwW7S1Do4NPaP90QtYI6Kk/HhT9nxGqY/i9z3xwGPHiFUYTzc:7gnLiWsMiPCVqHvY/i9z3xDPeU
TLSHT114E186A22B416B7AF9F3F0B5816F23B0D723813663756291F04DD47E1F4AAC04578AD5
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
MD589D712C5D99F65A291144EE27D2D42B0
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.
PackageNamepython310-pyFFTW
PackageRelease12.152
PackageVersion0.12.0
SHA-19870CF3039080C121DF1A93FE861669F327B2310
SHA-25617F72CD848B1C86E2B5A6614209DD707B2660216567A2C75FE75220E6C2A0BD6