Result for 01997C1676F6CA16D5BFD7ED9C30552D3F7078DB

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/datasets/base.pyo
FileSize18047
MD50E5E4AC3F9455023CA432FA94288ADD9
SHA-101997C1676F6CA16D5BFD7ED9C30552D3F7078DB
SHA-256FB3B2384316C6AC564E53677E8E1C9E533255B99C4302355B56B2CC9AA0D4FED
SSDEEP384:DkgZaG76RHXjFFDOMvX2NMWmkhe6ib3/6YqfkkR+C8N0z78888C:D9HyFr+DinrbBT
TLSHT1348261853BC087BBC6A291B1A4FC4153CA24F5AB6241535438ECE1B42FD5B25E2BF7C9
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
MD5CBCDE018121FFA504E917445B28EF091
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
PackageRelease1.fc23
PackageVersion0.16.1
SHA-1548FC6323226467D21EA89AECAF89425630A7AD5
SHA-2565E55CC130D3045F7511575EBB93B6B09A4DF4E4A4C127079F33E7CEEDEA82F78