Result for 02468E66AB473EF88813B180BAC32F9D16B4C41F

Query result

Key Value
FileName./usr/lib/python3.3/site-packages/sklearn/datasets/__pycache__/species_distributions.cpython-33.pyo
FileSize9069
MD5F09E18D945345C00F8412C343CC3FFB9
SHA-102468E66AB473EF88813B180BAC32F9D16B4C41F
SHA-2568B4C8CD07F61CD428212F14E89E74E9919B32FCF85784E4F8EA83C518FFC7C6A
SSDEEP192:zOD9a7u9JXJRJqJ93SJ/NnndFbJpq79Je+qutNJL3TYvRw3TWmJTTq4JOW:M9zj5/+9WpNUH/fYEySTTqAOW
TLSHT1081272843FAE4BF5D1B156B865791202D763F9AFE2002704729CE0A42F4DF325ABF681
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
MD57CFEEC4C24C01483E892298BFA5817D3
PackageArchppc
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
PackageRelease3.fc20
PackageVersion0.14.1
SHA-1D485DF7805397141626C57B45FA87B307DED3B19
SHA-256E77BC6E49AE458FE84B1826BC4E3BCB5103DFA740B2FA78B6FD8A8E53605F702