Result for 089BB5CCEDE135748F34AF6068C678E1E0FD3D28

Query result

Key Value
FileName./usr/share/doc/python-deap/examples/ga_knapsack.py
FileSize3543
MD544F938F94F59C644A6E57691A0C9EA6C
SHA-1089BB5CCEDE135748F34AF6068C678E1E0FD3D28
SHA-256224255B5E1F12518ADF34B947D82C3DBB7D591F8F714B95BDBB53726625EF2FB
SSDEEP96:oUrPkLrCkB+jFzH/TARealzTxU9w+m5ATC:oUILrC6+jFzH/TA4alzTxUS+m
TLSHT1B771D92FE0707967994630F12D69A1E577765523C34980E8351DE09D2F6ED381373A9C
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