Result for 02E2341C9E78614D2DF6FE16E4D7EC87E350E23B

Query result

Key Value
FileName./usr/lib64/python3.5/site-packages/sklearn/metrics/tests/__pycache__/test_regression.cpython-35.pyc
FileSize5017
MD5486C7671A0DC33502DF6E772DA8ABB93
SHA-102E2341C9E78614D2DF6FE16E4D7EC87E350E23B
SHA-2562D5F81A29A1D23024AA2853170E27EAA6DB5AD30CF493358E59F70494CC7E73F
SSDEEP96:3SFuH60bPqEeHMWVTgYGEKMjAnYKQurK88VCf7nBdwNyC9W18S8U:C0bPqEesWVcYG71niVg0X+8S8U
TLSHT1FCA1765393848D9EF429F1B8F4361302DEE6F018BF547B404B27E57E6BC5B851C1A28A
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