Result for 01204BD71BC6CFBF8E291833D5F24197701D7E9D

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/command/__pycache__/install_data.cpython-36.pyc
FileSize980
MD54CB151F9D6529712453762D1678D41A6
SHA-101204BD71BC6CFBF8E291833D5F24197701D7E9D
SHA-25609F4F1453D615762580637A5ACF0B3935C83083C24FC5C804F67E9EA773C0E59
SSDEEP24:2wEO/Eg3Whnj16Hg4amQCbvo9rlSmm8yRpZgWsvhxMZ:2n4HamHEllW84pQvheZ
TLSHT1BD11EF82465146BEFCD8F3F491C7123041B0EB7A6F95B2130BEAAD891C1A8D1CE13C0A
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