Result for 007E6BE6A9F1839B11410C5BE9C782197B7A1A55

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/sklearn/tests/__pycache__/test_init.cpython-38.opt-1.pyc
FileSize437
MD568CE795FC3B9DD5A22D30D10B93B6D02
SHA-1007E6BE6A9F1839B11410C5BE9C782197B7A1A55
SHA-256D5CEB972490B7130588B00A6BA8AA37836F8264ABAB0BD5556FCC929E62581D1
SSDEEP12:cL2EIs49J914U8LC3Eb8GnkJw9iDzoh5J1juGcrts96:cC049iFF3kJw9iDzozCN7
TLSHT10CE061D3CDD11B83E135F5FDA059513F50E846F1AB9DD1734D0CA6675D441A006A3904
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