Formatting. Delete contraction_sequence_to_graph code

Author: JoeyT1994

src/ITensorNetworks.jl

@@ -31,7 +31,6 @@ include("formnetworks/abstractformnetwork.jl")
 include("formnetworks/bilinearformnetwork.jl")
 include("formnetworks/linearformnetwork.jl")
 include("formnetworks/quadraticformnetwork.jl")
-include("contraction_tree_to_graph.jl")
 include("gauging.jl")
 include("utils.jl")
 include("update_observer.jl")

src/caches/abstractbeliefpropagationcache.jl

@@ -66,7 +66,7 @@ function region_scalar(bpc::AbstractBeliefPropagationCache, pe::PartitionEdge; k
   return not_implemented()
 end
 partitions(bpc::AbstractBeliefPropagationCache) = not_implemented()
-partitionpairs(bpc::AbstractBeliefPropagationCache) = not_implemented()
+PartitionedGraphs.partitionedges(bpc::AbstractBeliefPropagationCache) = not_implemented()
 
 function default_edge_sequence(
   bpc::AbstractBeliefPropagationCache; alg=default_message_update_alg(bpc)
@@ -107,7 +107,7 @@ function vertex_scalars(bpc::AbstractBeliefPropagationCache, pvs=partitions(bpc)
 end
 
 function edge_scalars(
-  bpc::AbstractBeliefPropagationCache, pes=partitionpairs(bpc); kwargs...
+  bpc::AbstractBeliefPropagationCache, pes=partitionedges(bpc); kwargs...
 )
   return map(pe -> region_scalar(bpc, pe; kwargs...), pes)
 end
@@ -284,12 +284,12 @@ function update(
   return update(Algorithm(alg), bpc; kwargs...)
 end
 
-function rescale_message(bp_cache::AbstractBeliefPropagationCache, partitionpair)
-  return rescale_messages(bp_cache, typeof(partitionpair)[partitionpair])
+function rescale_message(bp_cache::AbstractBeliefPropagationCache, partitionedge)
+  return rescale_messages(bp_cache, typeof(partitionedge)[partitionedge])
 end
 
 function rescale_messages(bp_cache::AbstractBeliefPropagationCache)
-  return rescale_messages(bp_cache, partitionpairs(bp_cache))
+  return rescale_messages(bp_cache, partitionedges(bp_cache))
 end
 
 function rescale_partitions(

src/caches/beliefpropagationcache.jl

@@ -80,7 +80,9 @@ function default_message_update_kwargs(
 end
 
 partitions(bpc::BeliefPropagationCache) = partitionvertices(partitioned_tensornetwork(bpc))
-partitionpairs(bpc::BeliefPropagationCache) = partitionedges(partitioned_tensornetwork(bpc))
+function PartitionedGraphs.partitionedges(bpc::BeliefPropagationCache)
+  partitionedges(partitioned_tensornetwork(bpc))
+end
 
 function set_messages(cache::BeliefPropagationCache, messages)
   return BeliefPropagationCache(partitioned_tensornetwork(cache), messages)

src/contraction_tree_to_graph.jl

@@ -50,7 +50,7 @@ using Test: @test, @testset
     bpc = BeliefPropagationCache(ψψ, group(v -> first(v), vertices(ψψ)))
     bpc = update(bpc; maxiter=25, tol=eps(real(elt)))
     #Test messages are converged
-    for pe in partitionedges(partitioned_tensornetwork(bpc))
+    for pe in partitionedges(bpc)
       @test message_diff(updated_message(bpc, pe), message(bpc, pe)) < 10 * eps(real(elt))
       @test eltype(only(message(bpc, pe))) == elt
     end