Result for 0038E7BFF2ED889423C0ED8856A5034425A9DD28

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/sklearn/impute/__pycache__/_base.cpython-39.pyc
FileSize23533
MD583EFD8F667C4F4792ACBD5F00BF1F348
SHA-10038E7BFF2ED889423C0ED8856A5034425A9DD28
SHA-25612C41DB1A011EA3C6E9C61A3328086474FBE3F555799D7A6C6BB3C653032D3CE
SSDEEP384:mNi4T0JDxPhwTtDUWXQ5BVY4iaxLFJEQOQX3zV+mEmq7mn9mFmOWfUWMm+F3OIfb:mk80JDxSTtIeITRiQr5zX3zVz9qKIA6N
TLSHT1B9B2C47E3D010B2BFD53F1F164E903898F14917B538609EA38EDD0992F899A8163CB9D
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