Result for 008B0FFA5F60272B5A781D56E245D6FFE97B5494

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/cluster/bicluster/tests/test_spectral.pyc
FileSize8180
MD5D61854426F85D68AFFCB8A9BA1EB664F
SHA-1008B0FFA5F60272B5A781D56E245D6FFE97B5494
SHA-25647DE0BB4FA8CC8ABD4CAAAB91A164A9532D15F68C048ECE8AA7C57C86752C033
SSDEEP192:mAozSK+E31SDyau1MN1ZQ1n9LS0t1om6S01b1ba1c1qo91T31i190Am8CAuw1W19:2WEFSDniMzinJBTo5B1pbeobTFii8qn9
TLSHT1A8F11D91D3E68E57C8B07235A8F043678E65F4B77940A78112BEE03C39C9355E66E386
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5DBAF1268CC6548DA69B7EFA0382FB4CF
PackageArchaarch64
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
PackageRelease2.fc22
PackageVersion0.15.1
SHA-1A16BAC3D07DB829D729325E141FEFB13FC42EB2C
SHA-256EBC6E78BE6FB065D3F428B073B2579E890B471365D158F4CCFDEA64C345BED1D
Key Value
MD5E0FDECB6334BF063C468BF4729678857
PackageArchaarch64
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
PackageRelease2.fc22
PackageVersion0.15.1
SHA-18016C03FAE69AAA95595A9F64CFDD20F301ED690
SHA-256E28E336A5EBE02BC3C7F346E34497E633F54EB252D5A6505D125B3FD0F0DC05C