Result for 01C3E7EA6D31D3CE8A297C2B1857C168F8A9A9F7

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/sklearn/ensemble/tests/__init__.pyo
FileSize154
MD5CB47BD8F44829662AA57D25470A0F4DA
SHA-101C3E7EA6D31D3CE8A297C2B1857C168F8A9A9F7
SHA-25647709FF08E14B5BB62D66E85563BE63E450B4D448FEFE11430467D7EFB5DAF09
SSDEEP3:pPmleh/Tj3tNltNltWiKT9Y3IMmoWrz4Az+iA6BRzaiitn:pPSeh/T4iA9Y3xmDrkAyiAcRaF
TLSHT1A2C02BC0F3334393F63D2939AD00020F81CCC473A045B590740C214F1C4C55D0A3D8C1
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
MD5909F587FEC3FD02B356EF44070ED72BD
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
PackageNamepython-scikit-learn
PackageRelease3.fc20
PackageVersion0.14.1
SHA-1F8719B4FACE61FACAB36FC9BA6F596AAD1298B07
SHA-2562292809F7EF68B3A84AE9A620ADDEC44404DF88E7F56A1215347C695E94D1273