Result for 00712D2DBE4EFDC59AE42831FE3FA2536DDF14CD

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/linear_model/coordinate_descent.pyo
FileSize61222
MD553E0322D6FD8DC5FE1748ED9638AA13B
SHA-100712D2DBE4EFDC59AE42831FE3FA2536DDF14CD
SHA-256C0CC92DAE017FF164A1D8674D570CBB6D2950EBB70B3D770E4186FCD7922344C
SSDEEP1536:MbvxIgel4FVoDRKYJPYoPmcI6GCIny6nb3cnwYunb:IpIgel4FVoNyoPmcI6itp
TLSHT14053F90A67811BB6865741B17DF800839774B47BAB566A4030ECE7B42FC5AB4C3AF78D
hashlookup:parent-total2
hashlookup:trust60

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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