Result for 01CE6529BA789A345611B61252C867AB40DE713C

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/tests/__pycache__/test_multiclass.cpython-39.pyc
FileSize20104
MD5E02727CA1F32AA860823620225137383
SHA-101CE6529BA789A345611B61252C867AB40DE713C
SHA-2560D189DE93F38FD4516A4C9A9FC091898CABC319DE6F1CEFFD6B5D856DB5DD9AF
SSDEEP384:+Wc6xRFYmGlBqIwixvt6u6FhFvkxBzJC1m8Bpy:Dc67FYdBZrodFhd+JC1m8B0
TLSHT1B192D778B8036E6BFE36F5FD40A502890E75E3399BCBC5C3D534965E2C006C91FA6A58
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 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
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