Result for 02AD96CB990ED794D1ADFF853276D6E5463ADF28

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/pyfftw/__pycache__/_version.cpython-310.pyc
FileSize534
MD5027318A94BD7CBE5AFAE756D0875605D
SHA-102AD96CB990ED794D1ADFF853276D6E5463ADF28
SHA-256019AEEBB271B6EF127146F104109FE686017C37EFF53AACB73B6C3CE2F82B6DC
SSDEEP12:lMG8YzIn8nB/tkpq14utx1CxEHjT8Vl/si6gtmMgxxH8:SYtnB/tko1Lb1CxEDtMgDH8
TLSHT1C3F00E50CF45EE33F0ACBF746531102423B45DE37209C81B8A1801E04D0ADF90AB7F00
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