Result for 00E579BB3FFC5FA63633CDF9E4F4EB768501C9D9

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/utils/fixes.pyo
FileSize7847
MD53AA14AFD03C857AEA5D0F093F2248D7B
SHA-100E579BB3FFC5FA63633CDF9E4F4EB768501C9D9
SHA-256201601DFD2409F273A5D1C149422E42FD01EA5C0E387288B840DF1C961027236
SSDEEP192:fkVotcydhLULpGrjXC2TKbKF0hLsgdQ31cUWT6h8JjFFm:fH15K2Y9hNCFc9H5O
TLSHT107F17284F7E15A6BD5B4427951B002179FF5F1B7A201275022F8E47E3EDC7A6C23E298
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD51D0C6AB50EBD1BF6667D3261B5645A4E
PackageArchppc64
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
PackageNamepython-scikit-learn
PackageRelease3.fc20
PackageVersion0.14.1
SHA-10169901D8BFCBF3C6BF66F677D486CB311B6F443
SHA-256965CEC779FC6E5074A2AC7165B26BA28D0778BD2CB53441F1380C3C8BD0B169B