Result for 0066C1172EBD374E3DEDD0102775D6240096D376

Query result

Key Value
FileName./usr/lib64/python3.5/site-packages/sklearn/linear_model/sgd_fast.cpython-35m-ppc64-linux-gnu.so
FileSize151232
MD596D813C932F11C5C0C18E7BD52917E70
SHA-10066C1172EBD374E3DEDD0102775D6240096D376
SHA-25674EFA3CD960C0352D7820483750792A426B629B8A8F27EDBAB3ED22450529B05
SSDEEP1536:UJjAryZq2V5h3o05BSWTCSRBr+OrIE2Aj5M2Qn0Unynu/de11Y/L+FZJesEy:UJjwyZqO5+03P5+Ormr0UOmqF
TLSHT15DE3F7E27B012E13D9481E79901A3BF4F65D2CA59578E1123A0F1B7B46E3BED198F213
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
MD5BCF32221C8DD22DF9CFE204375B750A2
PackageArchppc64
PackageDescription Scikit-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
PackageRelease4.fc24
PackageVersion0.17.1
SHA-1547DB711D4863545256C4D84E1B956593497B713
SHA-25676E3540F2E6683CF0BC08CBA78A3756E50A04EB5661067EBAA99481A5CAA6759