Result for 01EF6DA545C8D4148FA03056E6B85BDD2C63BDCA

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/sklearn/ensemble/__pycache__/bagging.cpython-34.pyo
FileSize28472
MD5C629C5B6656F297B1528BE6F1B766932
SHA-101EF6DA545C8D4148FA03056E6B85BDD2C63BDCA
SHA-2568622DAC357A70A48EA594283CB9FFE328F05B0C09593E10ED9895134C3430861
SSDEEP768:rrXCXa+KQ7VWLaTHkiuGXf5D+eQtb+MBpW:rrKIQoazuGRNQZ3W
TLSHT10CD293187780162BF91AF2B694FC01459F71E0AF96929326B5EDCA742FC1630A57F38C
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
MD51C82564E1B0A043FECEAA5F445EB6EC0
PackageArchaarch64
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
PackageRelease1.fc21
PackageVersion0.15.2
SHA-14C3EF65F75574E4835D511B43A3552C4CE605D33
SHA-256C63581ADED197E5C4B94668CC2C14DC2B31D088A56320A79A88A54A117239111