Result for 01E24A5CB075E439A124ACAC2D8E511B80B896FC

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/feature_selection/__pycache__/base.cpython-39.pyc
FileSize641
MD50160DD7C83C914E091B635EE52FC38CC
SHA-101E24A5CB075E439A124ACAC2D8E511B80B896FC
SHA-25630174D7D87454FBBBE83856E72BF3A1807C728E5DD95CD6A74ECA3DBF0E36FDD
SSDEEP12:Qba/K2ZILsS/7J5lnI5qnHA20DeExXyr6hQBlk6MRcsc3gDn:Qb8Ws63nIqnwDeExXfh0a6Aqy
TLSHT125F0414223093731EEE776FB20264C205BF10A6727048203BF194F4F78462C5150BE5E
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
MD593301FD9C61C6C910A5AA1A10C9CC5EC
PackageArchaarch64
PackageDescription Scikit-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.fc33
PackageVersion0.23.1
SHA-132661761E467FC947C9DD599F3E0790D6E23D783
SHA-256A202ADD1221037EED0E79AEFB1F1E3261AAAE92A596139E7C062D03F8C3CA0BB