Result for 027773EE8DE6414DCC40983AD749848D91B26436

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/utils/bench.pyo
FileSize617
MD526EE37E7E7B86F27DD5833BD3A845FF5
SHA-1027773EE8DE6414DCC40983AD749848D91B26436
SHA-256F12C9946926FC11A8E3E6DB7ADC49473DD2DDD4606449C7BFD2F21651A1F1215
SSDEEP12:Olce6XvpVgX+yhvluKCoVC293IbvJh/YEZkKzIw40HK89+SkfxcTEllg54w8fxcC:OQ/p2+Cuno43bvPge60h9PA2T5BI217w
TLSHT1F8F0A28CA2211FA6D6BB15B5B126312627F5913B3306375368B8C5DB1F9C3A9412F51C
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