Result for 02371A0EC9B739C321AC4758A805C7AFB597A5C0

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/tests/__pycache__/test_exec_command.cpython-36.pyc
FileSize3349
MD57C707D6A170B9B3A01F3B41FA7C780AA
SHA-102371A0EC9B739C321AC4758A805C7AFB597A5C0
SHA-2569240FBAA30A90EF659E6F6000B19F30EE8D9454D5A90B1E083CE71D94032B410
SSDEEP96:LYPtaOLk3EeYX2isnYqDgcWHXWWHXXAL7S9XIW9XX9zUG:4taOLku2isYqBWXWWXXfXIkXXp
TLSHT1756104D38546BBA9FCF5F3B982BE171B4A665226028FA53B0E54D21F0D456803C6968C
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
MD5774C11CFA31222E53F17845F59EE11E5
PackageArchppc64le
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-128A2DBFF1670ED40E2BB439C14460D8E24BC8068
SHA-25610A73526FD643A3DFD145751C12AE41CBB8E654D97138AA3942CBE7DE29CFD26