Result for 0177D7E50ED706AC558CE3329BFFBADFF69559CF

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/utils/_openmp_helpers.cpython-39-x86_64-linux-gnu.so
FileSize35080
MD51801ACBEE8D6CBF50704D049CDD3EBED
SHA-10177D7E50ED706AC558CE3329BFFBADFF69559CF
SHA-2564D3B7CB9EC3604D95041DBEC43C95A1649D13AB2714A3F69A2729E5211F574C5
SSDEEP768:x7bTLD7zrjOm+WuGe2Om+WuGe2Om+WuGe2Om+WuGe25BpxZhJR5BpxZhJR5BpxZr:xMckrKJN3Fx
TLSHT1ADF22A1FF0A14D7CC5A8A630CA9B8A635AB1F455B13016EF1A94FAB72FC36604B77D04
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
MD5696C5D9A72AED7B4961D2FAD4DE3EE0F
PackageArchx86_64
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-1E21018ED668BE7CE20E7709EAAD62C5809D4391B
SHA-25626FBA8D670F9F85130EC5884584D277A959B74FCD23704CC9E39AE4FB490B51F