Result for 005E4C7EFC58B6BAEE9E8D9080243055C20ED283

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/sklearn/tree/__pycache__/tree.cpython-38.pyc
FileSize605
MD5FB97857956DAC83F5F6A533425343A84
SHA-1005E4C7EFC58B6BAEE9E8D9080243055C20ED283
SHA-256E1184AFFFF74B3CAE7BF64FEDA0DC7D62657FA95EFAEC4FB500AF86D58E2D5A7
SSDEEP12:cAK2ZILsS/jJ5lobjTlnHA20UiDP5yroqQBlk6MRcsc3VDn:c6Wsg3AjTlnwUiDxa0a6Aqh
TLSHT131F0E192070A3731DD627AF821124A3453F14E77F7488B0B2F0C9D0F68062E51508EED
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
MD561A52FA64006DA080E9B8D3F952C4E81
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.fc32
PackageVersion0.22.1
SHA-1DB0E60B1636CCF1DA08F6DE62C04A2C4A85E16F9
SHA-256C10285BEAA8944C8F698E3BF9CAB30FCA5E17FD8898D0975C14B9014EF02B418