Result for 00BFD6947692956356F4761A87F122A88D355EFE

Query result

Key Value
FileName./usr/share/doc/python-deap/examples/gp_spambase.py
FileSize3945
MD5A91B22F4DED0738387871D4452EF9067
SHA-100BFD6947692956356F4761A87F122A88D355EFE
SHA-256DCD7120801C6A31C2C563E0E329A4B1F261ABFB746121511766E5C1B655F3B4B
SSDEEP96:owygD69N8NEZs3cJfNrxKL88i6p5qR3//oGd9iVztQAi:owWv7JfNrxI8P4qR3//xdURA
TLSHT17F81982FD47260235CD02382FCDE44A46A327892B5C6D864710C7596334FD1BB6B24EF
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
FileSize454244
MD509B6FD827FAA71ECC871A0C905DB072E
PackageDescriptionDistributed Evolutionary Algorithms in Python - documentation DEAP is intended to be an easy to use distributed evolutionary algorithm library in the Python language. Its two main components are modular and can be used separately. The first module is a Distributed Task Manager (DTM), which is intended to run on cluster of computers. The second part is the Evolutionary Algorithms in Python (EAP) framework. . This package contains the documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-deap-doc
PackageSectiondoc
PackageVersion0.6-1
SHA-1296B1E27BDEF986812D50E4B7CEC913A915CDAF8
SHA-2562B982B39BFE4E5F5A1440CD5B52AF4BD1E0CAD4D7FE2C5B43ECDB66416C5236C