Result for 0347EDF25820B9A78D6008180FFC7965DA2E3BB0

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/tests/__pycache__/test_exec_command.cpython-36.pyc
FileSize3349
MD5324A1A464052577A7D0F2CB23A6F2189
SHA-10347EDF25820B9A78D6008180FFC7965DA2E3BB0
SHA-256790399C9C4582F2F1C3517E67C1328925299BC8CC594EBB396BFA5AFFF2ABC34
SSDEEP96:9YPuaOLk3EeYX2isnYqDgcWHXWWHXXAL7S9XIW9XX9zUG:GuaOLku2isYqBWXWWXXfXIkXXp
TLSHT1236125D38546FFA9FCF5F3B982BE171B4A665226038FE43B0A54D21F0D456803C6968C
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
MD598C2D23AE8626687A46F08BD8DA65635
PackageArchaarch64
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageMaintainerFedora Project
PackageNamepython36-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-16A46B1CA0C80AD2FC9A8DF05451E9BD13C7104F9
SHA-25614CFA64D82764CC7EA25F19B74A1C8B41DE4D2D28E1CC82F2692E7AB628A7B6E