Result for 0125364756E568334150F15EDCC12B5BBD248B41

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/lib/__pycache__/__init__.cpython-36.pyc
FileSize1016
MD5B626825075D974577DC1124A4D88D9F0
SHA-10125364756E568334150F15EDCC12B5BBD248B41
SHA-256FB0149C5D0EA300CD4FFC7BC4CA8F2660098FB91ED61F810E4B637ABA4C5D1C4
SSDEEP24:m8eaAxusATJs0qp4jw2hk3xcOAAs/AsG8o2Vgl01HggbWtO68Y:mTaJCNATG87glmbWtO6j
TLSHT1D611BAD28503A1F9B70AA230AC36730A81B11C7BC3D5F4B43338946C5E06B4F604E5CC
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
MD596F1E09D933D373B32E122AE47C30A69
PackageArchppc64
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-1B1CCAA7A355D9E011C723E3E00B47E8446A7886C
SHA-256FB2DEBC3E677C4BABA71F9C43D29A4E385AF2D7FB2533258136DE29C102403E0