Result for 0A0F4999D06BD64400878800311A37F66B12F04B

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/pyfftw/builders/__pycache__/_utils.cpython-310.pyc
FileSize9496
MD53D9A094423A0F12F42D336903818F464
SHA-10A0F4999D06BD64400878800311A37F66B12F04B
SHA-256043A7D8179FA3801417084EF58980EE4FFB9289A0C78814E235A6FEBE007A333
SSDEEP192:dIDjtOE2YQNHpU+vILUwA1qVTyLSBDcR6OIWnk4VENW:iDjJ6q+v21py2BDk6OIWpVENW
TLSHT1AA12F740AA416FBFFC55F1B460CE024AC2A2E17B63551012745F9A192F478FA6B3BBDC
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
MD5755D4E27D72ED356C546FF8EC45932A7
PackageArchi586
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-1616C76AE1E3569E03C6B5E5A19800477219A4520
SHA-256A60205055DABD6915CDD431B089625B699D1A82C97BE62C627D8257F6F504D58