Result for 00447DC944882A89E0D2BB53DCE1D82140EA3629

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/sklearn/_build_utils/__pycache__/__init__.cpython-39.pyc
FileSize2195
MD51A3DC841D01BDC2F78877D6067BE383D
SHA-100447DC944882A89E0D2BB53DCE1D82140EA3629
SHA-256B0F2825D09C11D812EFD7331474A40F6707EE03DBE27435EA2938905B9DFCDF8
SSDEEP48:Q7CVlJ5o/LFm85wgXrvImatXflh61hgp3D1V/galf5y3n30aXf:6aJi/Lrw00malp/gE5y330a
TLSHT14C41F8D44112E732FCBCB3FC90A8073276F0D3700B891059059499968F93AE44A7338A
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
MD5AF212728AA9596C28F3C2AAC0BA53DDE
PackageArcharmv7hl
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.fc34
PackageVersion0.24.0
SHA-1B853847F69F1F910C657394D51431E5B69DE012A
SHA-25665468DDB69060B410A6078F4972495F2D13C1053EFC9A327818EC723D44F13D1