Result for 0077B2B3FAA8F998755DDFBE56A3300AAA71CE52

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/sklearn/metrics/cluster/bicluster/bicluster_metrics.pyo
FileSize3786
MD597BD11157AD0390391029F4EC04A18B1
SHA-10077B2B3FAA8F998755DDFBE56A3300AAA71CE52
SHA-256C8AA28C014DC21351C5C0D32BB8091D1FBBB9EC96C032E3734AA4AE8DE193829
SSDEEP96:dgv/Ag1zFqkgROg1CR1qEiRg1Eg1fg1KUF9J30pbsyKQaIh6g1BLtjg1t:dW/AWPeOrR/iRjKFe0/TAQ1Q
TLSHT1EB71606166E50AA7CEE1F1369AF242A78325E4F3510077C5316CE4343B46AB8B23F389
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
MD51701BEF1750B6EE41CB7EC6460775D47
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
PackageRelease1.fc21
PackageVersion0.15.2
SHA-1D7495DFB6A5EA4DBA9ACDE791AC4BBC934FE939E
SHA-256C72DFDDC03F30E387E8240C4380C76148544409569AEFDE4F4A1CD20F607547A