Result for 041DF121F01936F855F5C53F7DC8CAC697D3077F

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/pyfftw/__pycache__/_version.cpython-36.pyc
FileSize521
MD54A72DC6338734F0BF637B5858D189BE5
SHA-1041DF121F01936F855F5C53F7DC8CAC697D3077F
SHA-256E05A60AF1F6E653D622C69D4B21A2B10C44CA805E282BBB887583439F8941095
SSDEEP12:XmG8YzIn8nB/tkpq14utx1Cx1HKaT8Vl/fi6gppcyuxvJNo:XCYtnB/tko1Lb1Cx1XpExNo
TLSHT167F09E40CF44DD33F1ADBFB45575615423785EE3730C88164A1811619D0D9FE0973F44
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5FB2C2CB7F6D16EC6780CA847B4FD0ED4
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
PackageRelease3.22
PackageVersion0.12.0
SHA-15B1D9202B807708AF9AD693A0BABD0ACAE7F148F
SHA-256B177C822440721A6D892C3207BDB51600D5437B7671BE1CAD72B6B08302764A9
Key Value
MD570D0591FC757F3D47A49948EB76FAC83
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
PackageRelease3.22
PackageVersion0.12.0
SHA-184A79B339F52594DBF49E8239301BC558B193F59
SHA-25623CA6FE8027E1E0490AA4172D077D6CDDA81F9A26163FFE81A947AF342375B7C