Result for 00D4F1A989465FE9283E536739EAFA727E1E92CE

Query result

Key Value
FileName./usr/lib/python3.3/site-packages/sklearn/cluster/_hierarchical.cpython-33m.so
FileSize51504
MD590CF0D8E6E617ACE9889FE98B436CA70
SHA-100D4F1A989465FE9283E536739EAFA727E1E92CE
SHA-25623C1E66339E1A98773594642E5FF851BC8A7CCC2453CEDED3E77F841D4217314
SSDEEP768:dLtrh43DwW3e+TSakIVX0fHn+ehPtop3DA0/ka3eQFHWKJ0GY8:dJhecWdSakNewcDMHVKJ098
TLSHT139330B4A7B388BB2CC941A3749BFC74F2BA65C27050A464F8F0CF65EBC079598A17709
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
MD59025232E3D4D5FB9A692C4643ABA8CCE
PackageArchs390
PackageDescriptionScikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainerFedora Project
PackageNamepython3-scikit-learn
PackageRelease3.fc20
PackageVersion0.14.1
SHA-1A473E39F4DACBDC9A3DBB3924FC4BE2A9F65D425
SHA-25606B69C7D747F69A643DF19F286CB8DC31AB90F2635E1AABA97C1BF66D579EB95