Result for 03415CA5D606C95594040DBA3AD18043896A39C5

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/ma/tests/__pycache__/test_core.cpython-36.pyc
FileSize143851
MD5F2BA1DB31E9D887320985388CBD3986B
SHA-103415CA5D606C95594040DBA3AD18043896A39C5
SHA-256E20414C8AAE002554EAF9EB9C0E11C727E06FEA914925FA8AAB86B9EFDC110B3
SSDEEP1536:e/za0t9bJgndyv+rO50mpaZFFwF+LL+bUuB+xJDipXT3CZAHGgBDkcLrcBjacz1g:2uIOF2FJUWjpX7CCxdY00UElDlQ
TLSHT152E3A54E70A20E9BFA05F5F8D1350390572EE29B2795E7274500C28EED936EA1DE07ED
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
MD58C009189374D738736A9BEAAF7B904C7
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
PackageRelease1.el7
PackageVersion1.12.1
SHA-13B9092023D90F3E94A038BFD189332B1E13F7ADC
SHA-25602F12DB1968A100CA94B2108B9752F9F89FF882186BD98D951B431A4FBEA16CD