Result for 014C85A28FC73B169892EEC4BD6B2FF21740826C

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/utils/tests/__pycache__/test_random.cpython-39.pyc
FileSize4555
MD5DC31ACCE19E4AF508974D699CA755010
SHA-1014C85A28FC73B169892EEC4BD6B2FF21740826C
SHA-2560EFE397C4BBBCB8FF7DFC2FF7BD3EB340E4AC903797491AF357230ACB56E1A08
SSDEEP96:wH8NxPLba5trka4ViJDT6hi4kEy+ikxQMco1ds0+lIjdSuW2z03xn:wcrba5tr2IJXWVkEycQa1NdjW2zY
TLSHT12B91B7C7B8025A6AFEB5F27C81BE532B530DD2847B97CD6B5D10E14B2D292D03D78688
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
MD55D2FA29F4130E7CB26587869667DC626
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.fc34
PackageVersion0.24.0
SHA-116117A1C32207A75416BCA6E566022AC75AB7041
SHA-25696172BEAA1E188FD4892ADB24832977D4FE36C626DD2D66EB4C923D361BC7AC0
Key Value
MD51898B04A44B8E0E2A43310587004329C
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.fc34
PackageVersion0.24.0
SHA-1CE038E81020DAD51C78AF449B9A87C18A89F2D79
SHA-256DCC913FFE4A680F1353C9D333242DF4B1E80680A4C61BB1710A9C0D0FCE4D073