Result for 02815929E04DD3AD11581A7E04888033118C0779

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/sklearn/gaussian_process/tests/__init__.pyo
FileSize162
MD510C5C2AF2B5A153C291B4F2DE5185EE7
SHA-102815929E04DD3AD11581A7E04888033118C0779
SHA-256B4F325F18A7F86870DD083E9CB55816D324506675A05765C622F950ADBB5F139
SSDEEP3:pPmleh/Tj3tNltNltWe69Y3IMmoWrz4AzwWwO1Rzy6BRzaiitn:pPSeh/T4e69Y3xmDrkAkWFbWcRaF
TLSHT17CC08C80A23B02A3D5795835A600020F55C884735201BAA1650C200A2F4829D0A3E882
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
MD5909F587FEC3FD02B356EF44070ED72BD
PackageArchs390
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
PackageRelease3.fc20
PackageVersion0.14.1
SHA-1F8719B4FACE61FACAB36FC9BA6F596AAD1298B07
SHA-2562292809F7EF68B3A84AE9A620ADDEC44404DF88E7F56A1215347C695E94D1273