Result for 01CEF5D7D7E283C1DE989927AAE13804482B7332

Query result

Key Value
FileName./usr/lib/python3.4/site-packages/sklearn/decomposition/__pycache__/nmf.cpython-34.pyo
FileSize17206
MD57FCCF3DDE17A39511D9DCA1F64C64B9C
SHA-101CEF5D7D7E283C1DE989927AAE13804482B7332
SHA-25613ED573228040AC20E9FDE3613185FD097AC68195F166288EC112EF3E8435141
SSDEEP384:54knxtMaq8CkQzPjLIAVbxDIG+P4YSYE9uxY088iQ:54knxthq3jLIA5xUG+gYSJ0kQ
TLSHT18672A4116FC1466BF192F172A0B91603DBB1E14BAA4317513AEFE5383FD6354862F389
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
MD5A1737D10EAC4A74D850B7689AD880760
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
PackageNamepython3-scikit-learn
PackageRelease2.fc22
PackageVersion0.16.0
SHA-136FDC3A429E4156C1F2A20CF6D3B8735B1A5E6F9
SHA-2568CEE5A3D32C6F0571163A26BACF635D6266B1BBBABD7FEA73B8718AA595A7B30