Result for 0684B43964E10C1721E9BC9990DD841FBDE97AA0

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/lib/__pycache__/scimath.cpython-34.pyc
FileSize15109
MD5E6468024A93B20954F7312A547122D05
SHA-10684B43964E10C1721E9BC9990DD841FBDE97AA0
SHA-256FEF33D47974E2D3B82FFCD53890FA10E22280826EB4BF4B0766753B312667621
SSDEEP384:silbxtFJvQ92wOo6cuE2dDQQk0wYSdvvSUA8cdSUxRajSd5KHzd:s2bxtF5Q92wOoxJMDQQk0wndTSGzd
TLSHT1B0628348BFC5037E8252E3F991EF6243DB3DC0679C556B08788EE2915F52E611A7C88E
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
MD5D0A101FFC0F3BF6E2FD901F2467C937A
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
PackageNamepython34-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-1BA1B21EAAECD3142F467D26CB1226A93A51C9DE2
SHA-2566EAF5E559001389375E0D0EFA76AF24C0EB5292361D88EE3A8428CB45C42751E