Result for 008C4B15F251CD12CEE004512B10F7144E1784C0

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.pyo
FileSize9614
MD557A7997EDB488E8CD2CC4BA62007B536
SHA-1008C4B15F251CD12CEE004512B10F7144E1784C0
SHA-256AFF9A0CCB76F886AB34C8AC26CB9FAEDC1E9D7E7BB89D78A93DECB1C63FD41BA
SSDEEP192:2Rf75fVT4Mf9m9NswowsFqfh4/S3afsqYLWof8xyv3XbFflkZWfTyqfp7fROf4Wt:I71VTDA9NswowTW/3JSWY8xSJ1e2prR4
TLSHT1BE12BD41A3DA8E8BC1741034A9F40307ADA4F1BABE456B4215FCE87D7ED43A5C46F38A
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
MD5678BA962932B8126200FCF9163BA8CEF
PackageArchppc64le
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-1D898EC3E51BF1FC42EAEC2303474C0A4557E2958
SHA-256347AB53E4642DAC3B9DBF32283F639BBA41843F5239F8B7B715DAEE4C66634FB