Result for 12EE0A42042F5F2C42F7AE380D3BFAC1D279BD9E

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/pyfftw/__pycache__/__init__.cpython-36.pyc
FileSize1483
MD5C83D9F88AE0C6CD5EF1B5D77175C812D
SHA-112EE0A42042F5F2C42F7AE380D3BFAC1D279BD9E
SHA-256ECCD11630DF85093304A699E6DCC4E07BC67FEF1D5704D1CDA2A40FDB4EDE033
SSDEEP24:lVtcvS2eAf92FDFp/IaD3sPciMoR/n7J9wBeQkbQR6vv5G6+Ob89Kytjmve:TGheAfen+cibR/7YMNDvvcdB9xtiW
TLSHT10831305B0C48BA3FF1CBFBB6925B955A9570C670F3F5C406326A477A1902DCC836AB48
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
MD538695A81C27FC369CA5CCCA9419FC8D1
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.
PackageNamepython3-pyFFTW
PackageRelease3.69
PackageVersion0.12.0
SHA-13D7E9A37D75B0AABF9CB1FE2180EFDBB2AA6D4EA
SHA-256A8440B4D437AE2723D5B47482C2E4043783D72524D3C8A1D1A021B458E9C13A5