Result for 00ABE4925CFCFEEEBEF19AC7322CEB00A24A1687

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/__pycache__/test_predictor.cpython-38.pyc
FileSize2303
MD5EAE848FDF02D1B80B0EF05CFB5A5059A
SHA-100ABE4925CFCFEEEBEF19AC7322CEB00A24A1687
SHA-2567081CC706BEA6F1FECB886E93E5A7A614ABFBE1F8C562415620FFD690A6E4993
SSDEEP48:ERLfqPoDs5g1m8yJB/eH0JWz2CCMB/lD95o4ikH4skvmW7oMhRG1Xts5JK:ERLfqPGm98yJBWZXRlDHqkYt7oMhRG1l
TLSHT1504163C53453BB2AF4A9E17DC479800D66B0EFDC5AC5ED975F84F12B9E2860C620B14E
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
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
Key Value
MD5C2EB81F2F4FFA86579390FF7D437AA58
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.fc32
PackageVersion0.22.1
SHA-1BA9E1CFDF19A6783B0B93CE48A0BBED51B38BA93
SHA-2567A4C5A99C3F3A2C76FB29E124FD5EF82089431B2B87A35FDA68EA979EB04C90F