JuliaRobotics / IncrementalInference.jl

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Coverage Reach
services/EvalFactor.jl services/GraphInit.jl services/CliqueTypes.jl services/CalcFactor.jl services/FactorGradients.jl services/BayesNet.jl services/ApproxConv.jl services/HeatmapSampler.jl JunctionTree.jl ParametricUtils.jl CliqueStateMachine.jl FactorGraph.jl TreeDebugTools.jl TreeMessageUtils.jl Factors/GenericFunctions.jl Factors/Mixture.jl Factors/Circular.jl Factors/LinearRelative.jl Factors/DefaultPrior.jl Factors/EuclidDistance.jl Factors/MsgPrior.jl Factors/PartialPriorPassThrough.jl Factors/GenericMarginal.jl Factors/PartialPrior.jl CliqStateMachineUtils.jl SolverAPI.jl FGOSUtils.jl entities/JunctionTreeTypes.jl entities/OptionalDensities.jl entities/AliasScalarSampling.jl entities/BeliefTypes.jl entities/CliqueTypes.jl entities/FactorOperationalMemory.jl entities/FactorGradients.jl entities/SolverParams.jl CanonicalGraphExamples.jl NumericalCalculations.jl ParametricCSMFunctions.jl SerializingDistributions.jl ExplicitDiscreteMarginalizations.jl SolveTree.jl Flux/FluxModelsSerialization.jl Flux/FluxModelsDistribution.jl SolverUtilities.jl TreeBasedInitialization.jl AnalysisTools.jl DeconvUtils.jl TetherUtils.jl ODE/DERelative.jl ccolamd.jl SubGraphFunctions.jl AdditionalUtils.jl DispatchPackedConversions.jl GraphProductOperations.jl EmbeddedPlottingUtils.jl TreeMessageAccessors.jl ManifoldSampling.jl ConsolidateParametricRelatives.jl CompareUtils.jl SerializationMKD.jl RequireInteractiveUtils.jl Deprecated.jl NeedsResolution.jl Variables/DefaultVariables.jl VariableStatistics.jl IncrementalInference.jl DefaultNodeTypes.jl

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Project.toml has changed.

@@ -62,6 +62,8 @@
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  $(SIGNATURES)
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After deserializing a factor using decodePackedType, use this to
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completely rebuild the factor's CCW and user data.
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Dev Notes:
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- TODO: We should only really do this in-memory if we can by without it (review this).
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"""
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function rebuildFactorMetadata!(dfg::AbstractDFG{SolverParams}, 
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                                factor::DFGFactor,
@@ -97,12 +99,16 @@
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    #
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    # replace old factor in dfg with a new one
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    deleteFactor!(dfg, factor)
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    deleteFactor!(dfg, factor, suppressGetFactor=true)
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    addFactor!(dfg, factor__)
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    factor__
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  else
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    setSolverData!(factor, fnd_new)
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    # We're not updating here because we don't want
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    # to solve cloud in loop, we want to make sure this flow works:
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    # Pull big cloud graph into local -> solve local -> push back into cloud.
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    # updateFactor!(dfg, factor)
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    factor
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  end
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Files Coverage
src 77.33%
Project Totals (67 files) 77.33%
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