AdjacencyMatrix

Author: Affie

src/DistributedFactorGraphs.jl

@@ -62,7 +62,7 @@ function __init__()
             Rows are all factors, columns are all variables, and each cell contains either nothing or the symbol of the relating factor.
             The first column is the factor headings.
             """
-            function getAdjacencyMatrixDataFrame(dfg::Union{GraphsDFG, LightGraphsDFG})::Main.DataFrames.DataFrame
+            function getAdjacencyMatrixDataFrame(dfg::Union{GraphsDFG, LightGraphsDFG, SymbolDFG})::Main.DataFrames.DataFrame
                 varLabels = sort(map(v->v.label, getVariables(dfg)))
                 factLabels = sort(map(f->f.label, getFactors(dfg)))
                 adjDf = DataFrames.DataFrame(:Factor => Union{Missing, Symbol}[])

src/SymbolDFG/SymbolDFG.jl

@@ -28,7 +28,8 @@ import ...DistributedFactorGraphs:  setSolverParams,
                                     lsf,
                                     isFullyConnected,
                                     hasOrphans,
-                                    getNeighbors
+                                    getNeighbors,
+                                    getAdjacencyMatrix
 
 include("SymbolFactorGraphs/SymbolFactorGraphs.jl")
 using .SymbolFactorGraphs

src/SymbolDFG/services/SymbolDFG.jl

@@ -466,7 +466,7 @@ function getSubgraph(dfg::SymbolDFG, variableFactorLabels::Vector{Symbol}, inclu
     _copyIntoGraph!(dfg, addToDFG, variableFactorLabels, includeOrphanFactors)
     return addToDFG
 end
-
+=#
 """
     $(SIGNATURES)
 Get an adjacency matrix for the DFG, returned as a Matrix{Union{Nothing, Symbol}}.
@@ -489,7 +489,7 @@ function getAdjacencyMatrix(dfg::SymbolDFG)::Matrix{Union{Nothing, Symbol}}
     return adjMat
 end
 
-
+#=
 """
     $(SIGNATURES)
 Produces a dot-format of the graph for visualization.