Result for 016EADA07860BE7CF225F03F69F4E08C62BC0436

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/decomposition/tests/test_truncated_svd.pyo
FileSize5564
MD5A150F50C694B3CCEBB416B7ABB814E12
SHA-1016EADA07860BE7CF225F03F69F4E08C62BC0436
SHA-256A643684209686FA3F576C513E555D7B18843C10F46D589D28A4B6A49FC59C807
SSDEEP96:diG+qJhpgWwdsMsxYH36C9oxqPfKHqG4oVlRgSufzVf8aCW:E0h6ds3GL9okPfKuoVlRgSufztCW
TLSHT161B15441F7EA864BD8751274A4F18103ADA9F2F36E01275523AED43B36C9729D06F3C6
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