using Random function test_known_graph(name::String, n, fusion_test=true) @testset "Test $name Graph ($n)" begin graph = parse_abc(joinpath(@__DIR__, "..", "input", "$name.txt")) props = graph_properties(graph) if (fusion_test) test_node_fusion(graph) end test_random_walk(graph, n) end end function test_node_fusion(g::DAG) @testset "Test Node Fusion" begin props = graph_properties(g) options = get_operations(g) nodes_number = length(g.nodes) data = props.data compute_effort = props.compute_effort while !isempty(options.nodeFusions) fusion = first(options.nodeFusions) @test typeof(fusion) <: NodeFusion push_operation!(g, fusion) props = graph_properties(g) @test props.data < data @test props.compute_effort == compute_effort nodes_number = length(g.nodes) data = props.data compute_effort = props.compute_effort options = get_operations(g) end end end function test_random_walk(g::DAG, n::Int64) @testset "Test Random Walk ($n)" begin # the purpose here is to do "random" operations and reverse them again and validate that the graph stays the same and doesn't diverge reset_graph!(g) properties = graph_properties(g) for i = 1:n # choose push or pop if rand(Bool) # push opt = get_operations(g) # choose one of fuse/split/reduce option = rand(1:3) if option == 1 && !isempty(opt.nodeFusions) push_operation!(g, rand(collect(opt.nodeFusions))) elseif option == 2 && !isempty(opt.nodeReductions) push_operation!(g, rand(collect(opt.nodeReductions))) elseif option == 3 && !isempty(opt.nodeSplits) push_operation!(g, rand(collect(opt.nodeSplits))) else i = i - 1 end else # pop if (can_pop(g)) pop_operation!(g) else i = i - 1 end end end reset_graph!(g) @test properties == graph_properties(g) end end Random.seed!(0) @testset "Test Known ABC-Graphs" begin test_known_graph("AB->AB", 10000) test_known_graph("AB->ABBB", 10000) test_known_graph("AB->ABBBBB", 1000, false) end println("Known Graph Testing Complete!")