Result for 01BCC30F2CABF8291E4CD1301AF1B7B381BEACE5

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/sklearn/random_projection.pyo
FileSize21136
MD57525ED7A2E3FFB7BEA72E5D8BFCBE524
SHA-101BCC30F2CABF8291E4CD1301AF1B7B381BEACE5
SHA-256836BCCBB70D337329BF93D1D00BC92AF295B675EAFDF1C2DA95248F016033F8C
SSDEEP384:iQIVMlqFdVdMrFuODgYZFgxv7uW9PyM8fgwf824Tb//INHoVs4yJ0OmarE8V1tTL:NImKdVKrFuODdZFgv7uW9qMtR9TcNHoU
TLSHT1329295017B84437AC2E28571A6F66943D6F9F0B7A682665234ACC0793FE1535A13F3CE
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
MD5A3B0BF6DA049BC153C311CF8545E1DA1
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
PackageRelease2.fc22
PackageVersion0.16.0
SHA-179D2A817F0AF635EAE5511F8512D89BBE9B96B50
SHA-2561EA343E02ADA3862F436A8769CF3A2DF2148AD3EB9F117447C3DEE19DA848E02