Result for 3D26C7BA02AF58AF4E03A88BDAB470EF6C8BE8C5

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/pyfftw/__pycache__/__init__.cpython-38.pyc
FileSize1488
MD524FDB9DB7B7CBDE6CCBAA03372B67B42
SHA-13D26C7BA02AF58AF4E03A88BDAB470EF6C8BE8C5
SHA-2565E3A7CDC5188DA00560F4896C091C689A5CB529329B646C60BDB0113C0A09D23
SSDEEP24:ZVtcvS2eAf92FDFp/IaD3sPciMoR/n7J9wBeQkbQR6vv5G6+Ob89KyteSwGAz:PGheAfen+cibR/7YMNDvvcdB9xteSZQ
TLSHT1933132570C48FB3BF0C7FB76925B956A8570CA70F3F5C4463666077A1902D8C836AB48
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
MD5636A156E3E3A79111D45AAE91B66CF5A
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.
PackageNamepython38-pyFFTW
PackageRelease12.130
PackageVersion0.12.0
SHA-1036F26D3BD96090C3EF869BECA07714328A4333D
SHA-25641AC94925EBBE550C2ECCD30DA62651E14E981F40C3BC33D58CD64186FA6C6A7