Result for 2339D3416CAE4A6F8073779DEE4AE382DEBFC307

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/pyfftw/__pycache__/__init__.cpython-36.pyc
FileSize1483
MD565A194714C9C147188508C8B35A5C1E4
SHA-12339D3416CAE4A6F8073779DEE4AE382DEBFC307
SHA-256F54D38FC950749C90C37152AC29B3CC9593D4B942B9D705F8FC11FBA30D24FA4
SSDEEP24:lVtcvS2eAf92FDFp/IaD3sPciMoR/n7J9wBeQkbQR6vv5G6+Ob89Kyt4ve:TGheAfen+cibR/7YMNDvvcdB9xt4W
TLSHT11D31305B0C48BA3FF1CBFBB6925B955A9570C670F3F5C406326A477A1902DCC836AB48
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD5608CBF986CADFFAE759C7AC77914E928
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
PackageRelease3.70
PackageVersion0.12.0
SHA-1106EEE585F8FE830E3602F829DB708CC51A187F1
SHA-256C98F2F422DFF73E98975C426249C802B145FC4FB28AD6E4C946E363DD2ED48FF