DistributedFactorGraphs.jl
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Abstraction layer for spanning factor graphs over various technologies
Decide on and standardize behavior on return and exceptions for CRUD
In case you have a few `dfg` objects around and want to prevent accidently overwriting values... ```julia sfg = subGraphCopy(dfg, vars) setReadOnly!(sfg, true) addVariable!(sfg, ...) # should produce an @...
For common functions where `isVariable(dfg, lbl)` is used to distinguish between them.
https://github.com/JuliaGraphs/GraphIO.jl
In future, use this to perform cache hit/miss
```julia cfg = initfg(CloudDFG) lfg = initfg() addVariable([cfg, lfg], ...) ```