Result for 02375F0A1F3B38F31BEA59FFAB4117A20C8FD8C5

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/sklearn/datasets/tests/test_covtype.pyo
FileSize1355
MD556D9B857F9C98E109F0A709537D35D81
SHA-102375F0A1F3B38F31BEA59FFAB4117A20C8FD8C5
SHA-256606E272DA80923714021741CA5ACCF1ED304827E76644E08D821AB672C89A615
SSDEEP24:EPBzjQVof5A8ZH+0HJ2kRsQDZ8iEi394q/lln0HJyCse/0HJuqMQ:4BgVoRAB0pnsQDqi+q/lln0pyCsu0pj
TLSHT1C42123C5B7FE8243D570A67C93748307BEB1F077960053501668B87A39D8315D0AF346
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
MD51FD1DE5E580AF24AE54C4277A040DED4
PackageArchppc
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-1EAD4EA1615DA0A87F1AFA8696B3E8010F934DCC8
SHA-2565E29271489BAE4D4A254B276427C8902D05CC838070D4A403FE1DB3BA5DB4910