Result for 002493EC162595CC9A388A93345FEC02CA154B9A

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/sklearn/cluster/tests/__pycache__/test_dbscan.cpython-34.pyo
FileSize7694
MD50165FDCC06B23645E39D09D625F638FC
SHA-1002493EC162595CC9A388A93345FEC02CA154B9A
SHA-256CB1B51E08C9709AAAB04983509B983AFAD73B276FC7949BB64F989FBDAFB134D
SSDEEP192:83Z16VpwiO2oFzPxsWorWqtbL1BlKzTGP88888lU:83/6V6zzJZo6GbYPGP88888lU
TLSHT11DF10D9393C1499FF624F0BDE83807259E6AF60A7F08AB964AF5E43D3ED57901806385
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
MD5DF14951EBA2B6EF4D657ABF40A8CF498
PackageArchppc64le
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
PackageRelease2.fc22
PackageVersion0.16.0
SHA-1A9E273238A6995FFFA1D20D91BD83AC801668D80
SHA-256E17769CDEE29ED098C50AF0418FE517D79C7FF6A0150626D1700120F9DA13963