Result for 00FA32C16273E5AA558ED1C2C8C726B027CA6742

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/linear_model/tests/test_passive_aggressive.pyo
FileSize10481
MD5CBF28BB7A9F8BCCB235ADC6BD236D7D8
SHA-100FA32C16273E5AA558ED1C2C8C726B027CA6742
SHA-2569547D79C745B22F722F22660BEC223D34909755B38B279267A0978FEB566ADA0
SSDEEP192:WOWgvE2IfTXfemcb0zQUEDx3PKaK38KggCnw4eEKjcGrUICmSyW6t7mZ8v:WIv7f1uQCTggCw3tjdrWqa8v
TLSHT16222EC40E3E28E5BD0751538A1F00217AE95F5BBAE02BB4096BCE03F3AD8365D95F745
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
MD59397956255C7AF2946DEB3BCD69CA260
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
PackageNamepython2-scikit-learn
PackageRelease4.fc24
PackageVersion0.17.1
SHA-1029E2D6D842ACC8F5BF9A50BBFA6EE847902189C
SHA-256880E8AC446B5B246648AAFAC6AFC602AEE63F7C6377B9A8C7C7F61849C008326
Key Value
MD51AE3D0B8B4B0593EC9818531CBB660EA
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
PackageNamepython2-scikit-learn
PackageRelease4.fc24
PackageVersion0.17.1
SHA-17AC2D03BDB0E3CB39425A261B253DF8F452A7B9E
SHA-2568063B84C4F1AC5EB381AFF51FA1086878E77C3C60EEB5D4AE2454CD3DED826D2