Result for 0048060EEBC2739C9676F079D9B2EE400484DE80

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/sklearn/ensemble/__pycache__/base.cpython-33.pyo
FileSize3679
MD57049D2023DBDD34318114FA7834367E5
SHA-10048060EEBC2739C9676F079D9B2EE400484DE80
SHA-256A2DE459E77D96F34489C1B09BDFBDF3A00745C348203852B6E510BCE57854742
SSDEEP96:Kx5UlEIfcCB+kTh84TewpwC/XWB1+AJnihJnD86W8EhhpxJiLyYaclVwKrJZjlug:KvIfcCorGeh3Lw97xwgOef
TLSHT14E710046927CB3D7CDA43B708C2421908F52B9AF22182A82305CEB9F3F9A975177B745
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
MD5B058CF21FF7DFBC1090BF9DE68B5141F
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
PackageNamepython3-scikit-learn
PackageRelease3.fc20
PackageVersion0.14.1
SHA-1E9541EE53FBA0B038553927C6A7419A80E98B603
SHA-256237BC029521C16263D804D4BA09E77C4F440DB2B5CE79159BE1753695F96DF61