Result for 02FA3415AD6772669409EA4ACC9FE6F567802750

Query result

Key Value
FileName./usr/lib/hpc/gnu9/python-numpy/1.18.2/lib64/python3.8/site-packages/numpy/testing/__pycache__/setup.cpython-38.pyc
FileSize850
MD574DCCA2A168C756BCB95359557E4526D
SHA-102FA3415AD6772669409EA4ACC9FE6F567802750
SHA-2562CFCBCACCC6DD98BF69BE59F5946D6E2DFD63377B0DAA866CE2788BC7C55D015
SSDEEP24:MTQgcs7Q0zGiMzOp36RAfdeQiBYJpPWxKVhSLiMECKMu:M8gcKDGBzOpqRAfd1OdBEWu
TLSHT1640175C20D081F5AF598F7FCE022616F0D74B7B613A868066D6A01DB48C41D61DA2F09
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
MD5EC4D5A4C78C9ED08C28CC5DE15F87652
PackageArchx86_64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageNamepython3-numpy_1_18_1-gnu-hpc
PackageRelease2.1
PackageVersion1.18.2
SHA-10FF8330F54D03E7E668553D23FA597AAC93E0B0A
SHA-25694C4BDC993E0A926682A24902C5D15DDB19A1D0BBD2B75B7579BBE3A54DB6633