Result for 00CA34206437F252E64B7DA828CBB1B7CC0F7E09

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/linear_model/tests/test_sgd.pyo
FileSize35336
MD50ABEA68FCC525B69B8F2A5816A21D6DE
SHA-100CA34206437F252E64B7DA828CBB1B7CC0F7E09
SHA-256FFCC9CB351E574C9FB3E506D2CFE31AC887670C775F55959C5C888E714E0F58A
SSDEEP768:+hOdHxsYQaiADyTfRLbAEfeXvFxFSqSlZ6HeYLyKICL/3vufv:+hOdHxsYQaiAuTfRL1feXwqSlZ6HeYLW
TLSHT181F2CE81E3E24E5BC1B90835A5F0531BADA8F477AE01778156BCE43E3AD8399C46E3C5
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5602BD89EE04B570B5AA229E02F35A61B
PackageArchs390x
PackageDescriptionScikit-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
PackageNamepython-scikit-learn
PackageRelease1.fc21
PackageVersion0.15.2
SHA-11A26BBC9E5CA3AD56623399C8BA71988BA03B17E
SHA-25659073914549E965CDBBBA42E8CB75DE2EEFD01C7D9CC37B9D1EEB0C231B0238E