Result for 05405F7DC03D0447A120C803DD28C02DF83DAE36

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/testing/tests/__pycache__/test_decorators.cpython-36.pyc
FileSize5865
MD550EEC751C5E656B9102B0691F2A6C29A
SHA-105405F7DC03D0447A120C803DD28C02DF83DAE36
SHA-256F881420B140DB18184226C5E2F3125CA4E589D8AE3FD6A168AF182355580A711
SSDEEP96:Pli6k37FHNgNYxUnWNYNz5nenRzSsIxtMyFQSnsklVtJYRtsFdWVBb:9gepenRzSssHFQSnsQSZ
TLSHT199C1EDEA6A839936FC35F3F9425F42270A64E347435A81638511C1BB2D1F7CD2DE4A98
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