Result for 04E2EFC04F6EB62292EB11021DB22E8ECAB3AEC6

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/__pycache__/cpuinfo.cpython-36.pyc
FileSize33688
MD5882B53E5F487A06361AA039E65A4E328
SHA-104E2EFC04F6EB62292EB11021DB22E8ECAB3AEC6
SHA-256E2BF352A9067A1DCAE80C9867D405A8F984A44891467F2059B2ED6E7582A49E9
SSDEEP384:4cEeUBIBuzUq5e5jTOELYTK/C6oh+7K9XfeYrpkXm:OcLCe5jTOEc2/xohzeYT
TLSHT187E2BBA4B695C96AFD9DF2B16229D76CE3789EF24B0FC393485000DF1CA83C94C65D89
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
MD52BE9CA3D1F01BB7427702BB0E86396D7
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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-numpy
PackageReleaselp150.2.15
PackageVersion1.14.0
SHA-1BBCD96931D09BDA3BD0D67ADECB38E1481702E99
SHA-25621902A891DAB605CF3A2BAEA9FC60D92582B7849465A3D276CD4E47AF74298E4