Result for 0021F4E3E7FF7ED6E32AF397EB59C3259D28D5FA

Query result

Key Value
FileName./usr/lib64/python3.5/site-packages/sklearn/svm/__pycache__/__init__.cpython-35.pyc
FileSize619
MD50C5A14B9679AA9899B24067AEFB62CC1
SHA-10021F4E3E7FF7ED6E32AF397EB59C3259D28D5FA
SHA-256E9A4873E235081D0DD42AA53278E5966BDD2FA10A8136571F8941C8148FFC205
SSDEEP12:9zbCGkUWGnpbzU2aFBJZcBFQ/tPfwRKmksTb5MZ9XCm6lOsyrZRSiDUeZ:JCUWuURBJZVNuaKXODlR6A
TLSHT1A1F0A692873A97D0F839FB3A6000911812943597BE2E4603095E0CBA3EE3483058AA4C
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
MD5BCF32221C8DD22DF9CFE204375B750A2
PackageArchppc64
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
PackageRelease4.fc24
PackageVersion0.17.1
SHA-1547DB711D4863545256C4D84E1B956593497B713
SHA-25676E3540F2E6683CF0BC08CBA78A3756E50A04EB5661067EBAA99481A5CAA6759
Key Value
MD50C4F32374415CCDA8D571AA31F3D20B1
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
PackageRelease4.fc24
PackageVersion0.17.1
SHA-15513BD93A3C3B030CC6500A683EF48326EB21E74
SHA-25613F962CFADEE43B02880D50748E7A8B387D2C1BC7A41D66A0C868B48D85D09C4