Result for 014C777B78A770AFA358515A27C1C81CB970614E

Query result

Key Value
FileName./usr/lib/python3.4/site-packages/sklearn/gaussian_process/tests/__pycache__/__init__.cpython-34.pyo
FileSize158
MD5E6A828F1F2FCE71D5BEE24C8F18EB271
SHA-1014C777B78A770AFA358515A27C1C81CB970614E
SHA-256AC49F08C4B8F716330954A1042B48F43910B2D8F84CAB475F0F83DB7A6B08ADE
SSDEEP3:Wt2l+leh/kreWWeuKT9YMKDVWrz4AzwWwO1Rzy6BRkcTitn:W8aeh/1M9YLMrkAkWFbWcD6
TLSHT1C7C08C60821B82A2E4EDFD356010420224C4CC70A24ACB636A0851052E483480C22802
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