minor optimization in household graph generation

CovidAlertVaccinationModel/src/ABM/agents.jl

@@ -33,8 +33,6 @@ Also returns a vector of AgentDemographic representing each agent, defined by th
     total_household_pop = sum(sum.(households_composition))
     population_list = Vector{AgentDemographic}(undef,total_household_pop)
     wg = WeightedGraph(total_household_pop,sampler_matrix)
-    # test_graph_1 = SimpleGraph(total_household_pop)
-    # test_graph_2 = SimpleGraph(total_household_pop)
     vertex_pointer = 1
     for household in households_composition
         num_vertices = sum(household)
@@ -43,22 +41,14 @@ Also returns a vector of AgentDemographic representing each agent, defined by th
             @inbounds population_list[vertex_pointer+household_pointer:vertex_pointer+household_pointer+size-1] .= AgentDemographic(k)
             household_pointer += size
         end
-        for v in vertex_pointer:(vertex_pointer + num_vertices - 1),  w in vertex_pointer:(vertex_pointer + num_vertices - 1)
+        for v in vertex_pointer:(vertex_pointer + num_vertices - 1),  w in vertex_pointer:v
             if v != w
                 weight::UInt8 = rand(Random.default_rng(Threads.threadid()),sampler_matrix[Int(population_list[v]),Int(population_list[w])])
                 add_edge!(wg,v,w,weight)
-                # add_edge!(test_graph_1,v,w)
             end
         end
-        # for v in vertex_pointer:(vertex_pointer + num_vertices - 1),  w in vertex_pointer:(vertex_pointer + num_vertices - 1)
-        #     if v != w
-        #         weight::UInt8 = rand(Random.default_rng(Threads.threadid()),sampler_matrix[Int(population_list[v]),Int(population_list[w])])
-        #         add_edge!(test_graph_2,v,w)
-        #     end
-        # end
         vertex_pointer+=num_vertices
     end
-    # display((test_graph.ne,ne(wg)))
     return wg,population_list
 end