Result for 030E43BCE588A2D76D4B7426C79E3A39FA27028E

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/core/tests/__pycache__/test_errstate.cpython-36.pyc
FileSize1957
MD5743049E014361062B58E52DB0EF3B7E5
SHA-1030E43BCE588A2D76D4B7426C79E3A39FA27028E
SHA-2566B5BAFDFCC28D870F16C0FE6BAA74199A30E108ADB5EBA0FC48A77E1FFDEDB6F
SSDEEP48:/WpEoGTjSL/lYerTrdyQ3fiaK+wp7tyXwKWTCaFWn:/DSL/lYer1yAfbKzKXGTCac
TLSHT10341F06E01475F3BFD58F3B5809D97358BB2D35EABA9D7225704944B3E083E004A9B88
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