Result for 0174F7E78152BC3A4981A9D8A9F9DC993F349284

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/feature_extraction/tests/__init__.pyo
FileSize166
MD5F0FB17A719BBAE12D128AABBD942824A
SHA-10174F7E78152BC3A4981A9D8A9F9DC993F349284
SHA-256CF757124D766979B3BBAD373C140AF0D3F5022D3C7CBEA0123E59BF5D1AC4083
SSDEEP3:uXl0leh/Tj3tNltNltWOKTNIIMmoWrz4AzcVAJCE/6BRzaiitn:Olceh/T4OAOxmDrkAlTcRaF
TLSHT1EDC08CC0F27353A2D8BA087AA100021E6A88887368027690790D404F1E980BD0A2E480
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