Add node reduction unit test and fix bugs
This commit is contained in:
94
test/node_reduction.jl
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94
test/node_reduction.jl
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@ -0,0 +1,94 @@
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import MetagraphOptimization.insert_node!
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import MetagraphOptimization.insert_edge!
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import MetagraphOptimization.make_node
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import MetagraphOptimization.make_edge
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@testset "Unit Tests Node Reduction" begin
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graph = MetagraphOptimization.DAG()
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d_exit = insert_node!(graph, make_node(DataTask(10)), false)
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s0 = insert_node!(graph, make_node(ComputeTaskS2()), false)
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ED = insert_node!(graph, make_node(DataTask(3)), false)
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FD = insert_node!(graph, make_node(DataTask(3)), false)
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EC = insert_node!(graph, make_node(ComputeTaskV()), false)
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FC = insert_node!(graph, make_node(ComputeTaskV()), false)
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A1D = insert_node!(graph, make_node(DataTask(4)), false)
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B1D_1 = insert_node!(graph, make_node(DataTask(4)), false)
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B1D_2 = insert_node!(graph, make_node(DataTask(4)), false)
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C1D = insert_node!(graph, make_node(DataTask(4)), false)
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A1C = insert_node!(graph, make_node(ComputeTaskU()), false)
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B1C_1 = insert_node!(graph, make_node(ComputeTaskU()), false)
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B1C_2 = insert_node!(graph, make_node(ComputeTaskU()), false)
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C1C = insert_node!(graph, make_node(ComputeTaskU()), false)
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AD = insert_node!(graph, make_node(DataTask(5)), false)
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BD = insert_node!(graph, make_node(DataTask(5)), false)
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CD = insert_node!(graph, make_node(DataTask(5)), false)
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insert_edge!(graph, make_edge(s0, d_exit), false)
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insert_edge!(graph, make_edge(ED, s0), false)
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insert_edge!(graph, make_edge(FD, s0), false)
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insert_edge!(graph, make_edge(EC, ED), false)
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insert_edge!(graph, make_edge(FC, FD), false)
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insert_edge!(graph, make_edge(A1D, EC), false)
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insert_edge!(graph, make_edge(B1D_1, EC), false)
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insert_edge!(graph, make_edge(B1D_2, FC), false)
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insert_edge!(graph, make_edge(C1D, FC), false)
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insert_edge!(graph, make_edge(A1C, A1D), false)
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insert_edge!(graph, make_edge(B1C_1, B1D_1), false)
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insert_edge!(graph, make_edge(B1C_2, B1D_2), false)
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insert_edge!(graph, make_edge(C1C, C1D), false)
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insert_edge!(graph, make_edge(AD, A1C), false)
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insert_edge!(graph, make_edge(BD, B1C_1), false)
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insert_edge!(graph, make_edge(BD, B1C_2), false)
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insert_edge!(graph, make_edge(CD, C1C), false)
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@test is_exit_node(d_exit)
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@test is_entry_node(AD)
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@test is_entry_node(BD)
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@test is_entry_node(CD)
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opt = get_operations(graph)
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@test length(opt) == (nodeFusions = 6, nodeReductions = 1, nodeSplits = 1)
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println("Initial State:\n", opt)
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nr = first(opt.nodeReductions)
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@test Set(nr.input) == Set([B1C_1, B1C_2])
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push_operation!(graph, nr)
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opt = get_operations(graph)
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@test length(opt) == (nodeFusions = 4, nodeReductions = 1, nodeSplits = 1)
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println("After 1 Node Reduction:\n", opt)
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nr = first(opt.nodeReductions)
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@test Set(nr.input) == Set([B1D_1, B1D_2])
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push_operation!(graph, nr)
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opt = get_operations(graph)
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@test length(opt) == (nodeFusions = 4, nodeReductions = 0, nodeSplits = 1)
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println("After 2 Node Reductions:\n", opt)
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pop_operation!(graph)
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opt = get_operations(graph)
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@test length(opt) == (nodeFusions = 4, nodeReductions = 1, nodeSplits = 1)
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println("After reverting the second Node Reduction:\n", opt)
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reset_graph!(graph)
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opt = get_operations(graph)
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@test length(opt) == (nodeFusions = 6, nodeReductions = 1, nodeSplits = 1)
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println("After reverting to the initial state:\n", opt)
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end
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println("Node Reduction Unit Tests Complete!")
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@ -2,10 +2,11 @@ using MetagraphOptimization
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using Test
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@testset "MetagraphOptimization Tests" begin
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include("unit_tests_utility.jl")
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include("unit_tests_tasks.jl")
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include("unit_tests_nodes.jl")
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include("unit_tests_graph.jl")
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include("unit_tests_utility.jl")
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include("unit_tests_tasks.jl")
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include("unit_tests_nodes.jl")
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include("node_reduction.jl")
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include("unit_tests_graph.jl")
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include("known_graphs.jl")
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include("known_graphs.jl")
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end
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@ -6,205 +6,204 @@ import MetagraphOptimization.siblings
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import MetagraphOptimization.partners
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@testset "Unit Tests Graph" begin
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graph = MetagraphOptimization.DAG()
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graph = MetagraphOptimization.DAG()
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@test length(graph.nodes) == 0
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@test length(graph.appliedOperations) == 0
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@test length(graph.operationsToApply) == 0
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@test length(graph.dirtyNodes) == 0
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@test length(graph.diff) == (addedNodes = 0, removedNodes = 0, addedEdges = 0, removedEdges = 0)
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@test length(get_operations(graph)) == (nodeFusions = 0, nodeReductions = 0, nodeSplits = 0)
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@test length(graph.nodes) == 0
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@test length(graph.appliedOperations) == 0
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@test length(graph.operationsToApply) == 0
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@test length(graph.dirtyNodes) == 0
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@test length(graph.diff) == (addedNodes = 0, removedNodes = 0, addedEdges = 0, removedEdges = 0)
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@test length(get_operations(graph)) == (nodeFusions = 0, nodeReductions = 0, nodeSplits = 0)
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# s to output (exit node)
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d_exit = insert_node!(graph, make_node(DataTask(10)), false)
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# s to output (exit node)
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d_exit = insert_node!(graph, make_node(DataTask(10)), false)
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@test length(graph.nodes) == 1
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@test length(graph.dirtyNodes) == 1
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@test length(graph.nodes) == 1
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@test length(graph.dirtyNodes) == 1
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# final s compute
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s0 = insert_node!(graph, make_node(ComputeTaskS2()), false)
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# final s compute
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s0 = insert_node!(graph, make_node(ComputeTaskS2()), false)
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@test length(graph.nodes) == 2
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@test length(graph.dirtyNodes) == 2
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@test length(graph.nodes) == 2
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@test length(graph.dirtyNodes) == 2
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# data from v0 and v1 to s0
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d_v0_s0 = insert_node!(graph, make_node(DataTask(5)), false)
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d_v1_s0 = insert_node!(graph, make_node(DataTask(5)), false)
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# data from v0 and v1 to s0
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d_v0_s0 = insert_node!(graph, make_node(DataTask(5)), false)
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d_v1_s0 = insert_node!(graph, make_node(DataTask(5)), false)
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# v0 and v1 compute
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v0 = insert_node!(graph, make_node(ComputeTaskV()), false)
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v1 = insert_node!(graph, make_node(ComputeTaskV()), false)
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# v0 and v1 compute
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v0 = insert_node!(graph, make_node(ComputeTaskV()), false)
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v1 = insert_node!(graph, make_node(ComputeTaskV()), false)
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# data from uB, uA, uBp and uAp to v0 and v1
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d_uB_v0 = insert_node!(graph, make_node(DataTask(3)), false)
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d_uA_v0 = insert_node!(graph, make_node(DataTask(3)), false)
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d_uBp_v1 = insert_node!(graph, make_node(DataTask(3)), false)
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d_uAp_v1 = insert_node!(graph, make_node(DataTask(3)), false)
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# data from uB, uA, uBp and uAp to v0 and v1
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d_uB_v0 = insert_node!(graph, make_node(DataTask(3)), false)
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d_uA_v0 = insert_node!(graph, make_node(DataTask(3)), false)
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d_uBp_v1 = insert_node!(graph, make_node(DataTask(3)), false)
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d_uAp_v1 = insert_node!(graph, make_node(DataTask(3)), false)
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# uB, uA, uBp and uAp computes
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uB = insert_node!(graph, make_node(ComputeTaskU()), false)
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uA = insert_node!(graph, make_node(ComputeTaskU()), false)
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uBp = insert_node!(graph, make_node(ComputeTaskU()), false)
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uAp = insert_node!(graph, make_node(ComputeTaskU()), false)
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# uB, uA, uBp and uAp computes
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uB = insert_node!(graph, make_node(ComputeTaskU()), false)
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uA = insert_node!(graph, make_node(ComputeTaskU()), false)
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uBp = insert_node!(graph, make_node(ComputeTaskU()), false)
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uAp = insert_node!(graph, make_node(ComputeTaskU()), false)
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# data from PB, PA, PBp and PAp to uB, uA, uBp and uAp
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d_PB_uB = insert_node!(graph, make_node(DataTask(6)), false)
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d_PA_uA = insert_node!(graph, make_node(DataTask(6)), false)
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d_PBp_uBp = insert_node!(graph, make_node(DataTask(6)), false)
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d_PAp_uAp = insert_node!(graph, make_node(DataTask(6)), false)
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# data from PB, PA, PBp and PAp to uB, uA, uBp and uAp
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d_PB_uB = insert_node!(graph, make_node(DataTask(6)), false)
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d_PA_uA = insert_node!(graph, make_node(DataTask(6)), false)
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d_PBp_uBp = insert_node!(graph, make_node(DataTask(6)), false)
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d_PAp_uAp = insert_node!(graph, make_node(DataTask(6)), false)
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# P computes PB, PA, PBp and PAp
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PB = insert_node!(graph, make_node(ComputeTaskP()), false)
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PA = insert_node!(graph, make_node(ComputeTaskP()), false)
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PBp = insert_node!(graph, make_node(ComputeTaskP()), false)
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PAp = insert_node!(graph, make_node(ComputeTaskP()), false)
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# P computes PB, PA, PBp and PAp
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PB = insert_node!(graph, make_node(ComputeTaskP()), false)
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PA = insert_node!(graph, make_node(ComputeTaskP()), false)
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PBp = insert_node!(graph, make_node(ComputeTaskP()), false)
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PAp = insert_node!(graph, make_node(ComputeTaskP()), false)
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# entry nodes getting data for P computes
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d_PB = insert_node!(graph, make_node(DataTask(4)), false)
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d_PA = insert_node!(graph, make_node(DataTask(4)), false)
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d_PBp = insert_node!(graph, make_node(DataTask(4)), false)
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d_PAp = insert_node!(graph, make_node(DataTask(4)), false)
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# entry nodes getting data for P computes
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d_PB = insert_node!(graph, make_node(DataTask(4)), false)
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d_PA = insert_node!(graph, make_node(DataTask(4)), false)
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d_PBp = insert_node!(graph, make_node(DataTask(4)), false)
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d_PAp = insert_node!(graph, make_node(DataTask(4)), false)
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@test length(graph.nodes) == 26
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@test length(graph.dirtyNodes) == 26
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@test length(graph.nodes) == 26
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@test length(graph.dirtyNodes) == 26
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# now for all the edgese
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insert_edge!(graph, make_edge(d_PB, PB), false)
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insert_edge!(graph, make_edge(d_PA, PA), false)
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insert_edge!(graph, make_edge(d_PBp, PBp), false)
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insert_edge!(graph, make_edge(d_PAp, PAp), false)
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# now for all the edgese
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insert_edge!(graph, make_edge(d_PB, PB), false)
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insert_edge!(graph, make_edge(d_PA, PA), false)
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insert_edge!(graph, make_edge(d_PBp, PBp), false)
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insert_edge!(graph, make_edge(d_PAp, PAp), false)
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insert_edge!(graph, make_edge(PB, d_PB_uB), false)
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insert_edge!(graph, make_edge(PA, d_PA_uA), false)
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insert_edge!(graph, make_edge(PBp, d_PBp_uBp), false)
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insert_edge!(graph, make_edge(PAp, d_PAp_uAp), false)
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insert_edge!(graph, make_edge(d_PB_uB, uB), false)
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insert_edge!(graph, make_edge(d_PA_uA, uA), false)
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insert_edge!(graph, make_edge(d_PBp_uBp, uBp), false)
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insert_edge!(graph, make_edge(d_PAp_uAp, uAp), false)
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insert_edge!(graph, make_edge(PB, d_PB_uB), false)
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insert_edge!(graph, make_edge(PA, d_PA_uA), false)
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insert_edge!(graph, make_edge(PBp, d_PBp_uBp), false)
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insert_edge!(graph, make_edge(PAp, d_PAp_uAp), false)
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insert_edge!(graph, make_edge(uB, d_uB_v0), false)
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insert_edge!(graph, make_edge(uA, d_uA_v0), false)
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insert_edge!(graph, make_edge(uBp, d_uBp_v1), false)
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insert_edge!(graph, make_edge(uAp, d_uAp_v1), false)
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insert_edge!(graph, make_edge(d_PB_uB, uB), false)
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insert_edge!(graph, make_edge(d_PA_uA, uA), false)
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insert_edge!(graph, make_edge(d_PBp_uBp, uBp), false)
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insert_edge!(graph, make_edge(d_PAp_uAp, uAp), false)
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insert_edge!(graph, make_edge(d_uB_v0, v0), false)
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insert_edge!(graph, make_edge(d_uA_v0, v0), false)
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insert_edge!(graph, make_edge(d_uBp_v1, v1), false)
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insert_edge!(graph, make_edge(d_uAp_v1, v1), false)
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insert_edge!(graph, make_edge(uB, d_uB_v0), false)
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insert_edge!(graph, make_edge(uA, d_uA_v0), false)
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insert_edge!(graph, make_edge(uBp, d_uBp_v1), false)
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insert_edge!(graph, make_edge(uAp, d_uAp_v1), false)
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insert_edge!(graph, make_edge(v0, d_v0_s0), false)
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insert_edge!(graph, make_edge(v1, d_v1_s0), false)
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insert_edge!(graph, make_edge(d_uB_v0, v0), false)
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insert_edge!(graph, make_edge(d_uA_v0, v0), false)
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insert_edge!(graph, make_edge(d_uBp_v1, v1), false)
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insert_edge!(graph, make_edge(d_uAp_v1, v1), false)
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insert_edge!(graph, make_edge(d_v0_s0, s0), false)
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insert_edge!(graph, make_edge(d_v1_s0, s0), false)
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insert_edge!(graph, make_edge(v0, d_v0_s0), false)
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insert_edge!(graph, make_edge(v1, d_v1_s0), false)
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insert_edge!(graph, make_edge(s0, d_exit), false)
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insert_edge!(graph, make_edge(d_v0_s0, s0), false)
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insert_edge!(graph, make_edge(d_v1_s0, s0), false)
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@test length(graph.nodes) == 26
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@test length(graph.appliedOperations) == 0
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@test length(graph.operationsToApply) == 0
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@test length(graph.dirtyNodes) == 26
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@test length(graph.diff) == (addedNodes = 0, removedNodes = 0, addedEdges = 0, removedEdges = 0)
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insert_edge!(graph, make_edge(s0, d_exit), false)
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@test is_entry_node(d_PB)
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@test is_entry_node(d_PA)
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@test is_entry_node(d_PBp)
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@test is_entry_node(d_PBp)
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@test !is_entry_node(PB)
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@test !is_entry_node(v0)
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@test !is_entry_node(d_exit)
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@test length(graph.nodes) == 26
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@test length(graph.appliedOperations) == 0
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@test length(graph.operationsToApply) == 0
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@test length(graph.dirtyNodes) == 26
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@test length(graph.diff) == (addedNodes = 0, removedNodes = 0, addedEdges = 0, removedEdges = 0)
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@test is_exit_node(d_exit)
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@test !is_exit_node(d_uB_v0)
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@test !is_exit_node(v0)
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@test length(children(v0)) == 2
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@test length(children(v1)) == 2
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@test length(parents(v0)) == 1
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@test length(parents(v1)) == 1
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@test is_entry_node(d_PB)
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@test is_entry_node(d_PA)
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@test is_entry_node(d_PBp)
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@test is_entry_node(d_PBp)
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@test !is_entry_node(PB)
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@test !is_entry_node(v0)
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@test !is_entry_node(d_exit)
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@test MetagraphOptimization.get_exit_node(graph) == d_exit
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@test is_exit_node(d_exit)
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@test !is_exit_node(d_uB_v0)
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@test !is_exit_node(v0)
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@test length(partners(s0)) == 1
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@test length(siblings(s0)) == 1
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@test length(children(v0)) == 2
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@test length(children(v1)) == 2
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@test length(parents(v0)) == 1
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@test length(parents(v1)) == 1
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operations = get_operations(graph)
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@test length(operations) == (nodeFusions = 10, nodeReductions = 0, nodeSplits = 0)
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@test length(graph.dirtyNodes) == 0
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@test MetagraphOptimization.get_exit_node(graph) == d_exit
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@test operations == get_operations(graph)
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nf = first(operations.nodeFusions)
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@test length(partners(s0)) == 1
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@test length(siblings(s0)) == 1
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properties = graph_properties(graph)
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@test properties.compute_effort == 134
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@test properties.data == 62
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@test properties.compute_intensity ≈ 134/62
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@test properties.nodes == 26
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@test properties.edges == 25
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operations = get_operations(graph)
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@test length(operations) == (nodeFusions = 10, nodeReductions = 0, nodeSplits = 0)
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@test length(graph.dirtyNodes) == 0
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push_operation!(graph, nf)
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# **does not immediately apply the operation**
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@test operations == get_operations(graph)
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nf = first(operations.nodeFusions)
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@test length(graph.nodes) == 26
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@test length(graph.appliedOperations) == 0
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@test length(graph.operationsToApply) == 1
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@test first(graph.operationsToApply) == nf
|
||||
@test length(graph.dirtyNodes) == 0
|
||||
@test length(graph.diff) == (addedNodes = 0, removedNodes = 0, addedEdges = 0, removedEdges = 0)
|
||||
properties = graph_properties(graph)
|
||||
@test properties.compute_effort == 134
|
||||
@test properties.data == 62
|
||||
@test properties.compute_intensity ≈ 134/62
|
||||
@test properties.nodes == 26
|
||||
@test properties.edges == 25
|
||||
|
||||
# this applies pending operations
|
||||
properties = graph_properties(graph)
|
||||
push_operation!(graph, nf)
|
||||
# **does not immediately apply the operation**
|
||||
|
||||
@test length(graph.nodes) == 24
|
||||
@test length(graph.appliedOperations) == 1
|
||||
@test length(graph.operationsToApply) == 0
|
||||
@test length(graph.dirtyNodes) != 0
|
||||
@test properties.nodes == 24
|
||||
@test properties.edges == 23
|
||||
@test properties.compute_effort == 134
|
||||
@test properties.data < 62
|
||||
@test properties.compute_intensity > 134/62
|
||||
@test length(graph.nodes) == 26
|
||||
@test length(graph.appliedOperations) == 0
|
||||
@test length(graph.operationsToApply) == 1
|
||||
@test first(graph.operationsToApply) == nf
|
||||
@test length(graph.dirtyNodes) == 0
|
||||
@test length(graph.diff) == (addedNodes = 0, removedNodes = 0, addedEdges = 0, removedEdges = 0)
|
||||
|
||||
operations = get_operations(graph)
|
||||
@test length(graph.dirtyNodes) == 0
|
||||
|
||||
@test length(operations) == (nodeFusions = 9, nodeReductions = 0, nodeSplits = 0)
|
||||
@test !isempty(operations)
|
||||
# this applies pending operations
|
||||
properties = graph_properties(graph)
|
||||
|
||||
possibleNF = 9
|
||||
while !isempty(operations.nodeFusions)
|
||||
push_operation!(graph, first(operations.nodeFusions))
|
||||
operations = get_operations(graph)
|
||||
possibleNF = possibleNF - 1
|
||||
@test length(operations) == (nodeFusions = possibleNF, nodeReductions = 0, nodeSplits = 0)
|
||||
end
|
||||
@test length(graph.nodes) == 24
|
||||
@test length(graph.appliedOperations) == 1
|
||||
@test length(graph.operationsToApply) == 0
|
||||
@test length(graph.dirtyNodes) != 0
|
||||
@test properties.nodes == 24
|
||||
@test properties.edges == 23
|
||||
@test properties.compute_effort == 134
|
||||
@test properties.data < 62
|
||||
@test properties.compute_intensity > 134/62
|
||||
|
||||
@test isempty(operations)
|
||||
operations = get_operations(graph)
|
||||
@test length(graph.dirtyNodes) == 0
|
||||
|
||||
@test length(operations) == (nodeFusions = 0, nodeReductions = 0, nodeSplits = 0)
|
||||
@test length(graph.dirtyNodes) == 0
|
||||
@test length(graph.nodes) == 6
|
||||
@test length(graph.appliedOperations) == 10
|
||||
@test length(graph.operationsToApply) == 0
|
||||
@test length(operations) == (nodeFusions = 9, nodeReductions = 0, nodeSplits = 0)
|
||||
@test !isempty(operations)
|
||||
|
||||
reset_graph!(graph)
|
||||
possibleNF = 9
|
||||
while !isempty(operations.nodeFusions)
|
||||
push_operation!(graph, first(operations.nodeFusions))
|
||||
operations = get_operations(graph)
|
||||
possibleNF = possibleNF - 1
|
||||
@test length(operations) == (nodeFusions = possibleNF, nodeReductions = 0, nodeSplits = 0)
|
||||
end
|
||||
|
||||
@test length(graph.dirtyNodes) == 26
|
||||
@test length(graph.nodes) == 26
|
||||
@test length(graph.appliedOperations) == 0
|
||||
@test length(graph.operationsToApply) == 0
|
||||
@test isempty(operations)
|
||||
|
||||
properties = graph_properties(graph)
|
||||
@test properties.nodes == 26
|
||||
@test properties.edges == 25
|
||||
@test properties.compute_effort == 134
|
||||
@test properties.data == 62
|
||||
@test properties.compute_intensity ≈ 134/62
|
||||
@test length(operations) == (nodeFusions = 0, nodeReductions = 0, nodeSplits = 0)
|
||||
@test length(graph.dirtyNodes) == 0
|
||||
@test length(graph.nodes) == 6
|
||||
@test length(graph.appliedOperations) == 10
|
||||
@test length(graph.operationsToApply) == 0
|
||||
|
||||
operations = get_operations(graph)
|
||||
@test length(operations) == (nodeFusions = 10, nodeReductions = 0, nodeSplits = 0)
|
||||
reset_graph!(graph)
|
||||
|
||||
@test length(graph.dirtyNodes) == 26
|
||||
@test length(graph.nodes) == 26
|
||||
@test length(graph.appliedOperations) == 0
|
||||
@test length(graph.operationsToApply) == 0
|
||||
|
||||
properties = graph_properties(graph)
|
||||
@test properties.nodes == 26
|
||||
@test properties.edges == 25
|
||||
@test properties.compute_effort == 134
|
||||
@test properties.data == 62
|
||||
@test properties.compute_intensity ≈ 134/62
|
||||
|
||||
operations = get_operations(graph)
|
||||
@test length(operations) == (nodeFusions = 10, nodeReductions = 0, nodeSplits = 0)
|
||||
end
|
||||
println("Graph Unit Tests Complete!")
|
||||
|
||||
@ -1,36 +1,36 @@
|
||||
|
||||
@testset "Unit Tests Nodes" begin
|
||||
nC1 = MetagraphOptimization.make_node(MetagraphOptimization.ComputeTaskU())
|
||||
nC2 = MetagraphOptimization.make_node(MetagraphOptimization.ComputeTaskV())
|
||||
nC3 = MetagraphOptimization.make_node(MetagraphOptimization.ComputeTaskP())
|
||||
nC4 = MetagraphOptimization.make_node(MetagraphOptimization.ComputeTaskSum())
|
||||
nC1 = MetagraphOptimization.make_node(MetagraphOptimization.ComputeTaskU())
|
||||
nC2 = MetagraphOptimization.make_node(MetagraphOptimization.ComputeTaskV())
|
||||
nC3 = MetagraphOptimization.make_node(MetagraphOptimization.ComputeTaskP())
|
||||
nC4 = MetagraphOptimization.make_node(MetagraphOptimization.ComputeTaskSum())
|
||||
|
||||
nD1 = MetagraphOptimization.make_node(MetagraphOptimization.DataTask(10))
|
||||
nD2 = MetagraphOptimization.make_node(MetagraphOptimization.DataTask(20))
|
||||
nD1 = MetagraphOptimization.make_node(MetagraphOptimization.DataTask(10))
|
||||
nD2 = MetagraphOptimization.make_node(MetagraphOptimization.DataTask(20))
|
||||
|
||||
@test_throws ErrorException MetagraphOptimization.make_edge(nC1, nC2)
|
||||
@test_throws ErrorException MetagraphOptimization.make_edge(nC1, nC1)
|
||||
@test_throws ErrorException MetagraphOptimization.make_edge(nC3, nC4)
|
||||
@test_throws ErrorException MetagraphOptimization.make_edge(nD1, nD2)
|
||||
@test_throws ErrorException MetagraphOptimization.make_edge(nD1, nD1)
|
||||
@test_throws ErrorException MetagraphOptimization.make_edge(nC1, nC2)
|
||||
@test_throws ErrorException MetagraphOptimization.make_edge(nC1, nC1)
|
||||
@test_throws ErrorException MetagraphOptimization.make_edge(nC3, nC4)
|
||||
@test_throws ErrorException MetagraphOptimization.make_edge(nD1, nD2)
|
||||
@test_throws ErrorException MetagraphOptimization.make_edge(nD1, nD1)
|
||||
|
||||
ed1 = MetagraphOptimization.make_edge(nC1, nD1)
|
||||
ed2 = MetagraphOptimization.make_edge(nD1, nC2)
|
||||
ed3 = MetagraphOptimization.make_edge(nC2, nD2)
|
||||
ed4 = MetagraphOptimization.make_edge(nD2, nC3)
|
||||
ed1 = MetagraphOptimization.make_edge(nC1, nD1)
|
||||
ed2 = MetagraphOptimization.make_edge(nD1, nC2)
|
||||
ed3 = MetagraphOptimization.make_edge(nC2, nD2)
|
||||
ed4 = MetagraphOptimization.make_edge(nD2, nC3)
|
||||
|
||||
@test nC1 != nC2
|
||||
@test nD1 != nD2
|
||||
@test nC1 != nD1
|
||||
@test nC3 != nC4
|
||||
@test nC1 != nC2
|
||||
@test nD1 != nD2
|
||||
@test nC1 != nD1
|
||||
@test nC3 != nC4
|
||||
|
||||
nC1_2 = copy(nC1)
|
||||
@test nC1_2 != nC1
|
||||
|
||||
nD1_2 = copy(nD1)
|
||||
@test nD1_2 != nD1
|
||||
nC1_2 = copy(nC1)
|
||||
@test nC1_2 != nC1
|
||||
|
||||
nD1_c = MetagraphOptimization.make_node(MetagraphOptimization.DataTask(10))
|
||||
@test nD1_c != nD1
|
||||
nD1_2 = copy(nD1)
|
||||
@test nD1_2 != nD1
|
||||
|
||||
nD1_c = MetagraphOptimization.make_node(MetagraphOptimization.DataTask(10))
|
||||
@test nD1_c != nD1
|
||||
end
|
||||
println("Node Unit Tests Complete!")
|
||||
|
||||
@ -1,60 +1,60 @@
|
||||
|
||||
@testset "Task Unit Tests" begin
|
||||
S1 = MetagraphOptimization.ComputeTaskS1()
|
||||
S2 = MetagraphOptimization.ComputeTaskS2()
|
||||
U = MetagraphOptimization.ComputeTaskU()
|
||||
V = MetagraphOptimization.ComputeTaskV()
|
||||
P = MetagraphOptimization.ComputeTaskP()
|
||||
Sum = MetagraphOptimization.ComputeTaskSum()
|
||||
S1 = MetagraphOptimization.ComputeTaskS1()
|
||||
S2 = MetagraphOptimization.ComputeTaskS2()
|
||||
U = MetagraphOptimization.ComputeTaskU()
|
||||
V = MetagraphOptimization.ComputeTaskV()
|
||||
P = MetagraphOptimization.ComputeTaskP()
|
||||
Sum = MetagraphOptimization.ComputeTaskSum()
|
||||
|
||||
Data10 = MetagraphOptimization.DataTask(10)
|
||||
Data20 = MetagraphOptimization.DataTask(20)
|
||||
Data10 = MetagraphOptimization.DataTask(10)
|
||||
Data20 = MetagraphOptimization.DataTask(20)
|
||||
|
||||
@test MetagraphOptimization.compute_effort(S1) == 10
|
||||
@test MetagraphOptimization.compute_effort(S2) == 10
|
||||
@test MetagraphOptimization.compute_effort(U) == 6
|
||||
@test MetagraphOptimization.compute_effort(V) == 20
|
||||
@test MetagraphOptimization.compute_effort(P) == 15
|
||||
@test MetagraphOptimization.compute_effort(Sum) == 1
|
||||
@test MetagraphOptimization.compute_effort(Data10) == 0
|
||||
@test MetagraphOptimization.compute_effort(Data20) == 0
|
||||
@test MetagraphOptimization.compute_effort(S1) == 10
|
||||
@test MetagraphOptimization.compute_effort(S2) == 10
|
||||
@test MetagraphOptimization.compute_effort(U) == 6
|
||||
@test MetagraphOptimization.compute_effort(V) == 20
|
||||
@test MetagraphOptimization.compute_effort(P) == 15
|
||||
@test MetagraphOptimization.compute_effort(Sum) == 1
|
||||
@test MetagraphOptimization.compute_effort(Data10) == 0
|
||||
@test MetagraphOptimization.compute_effort(Data20) == 0
|
||||
|
||||
@test MetagraphOptimization.data(S1) == 0
|
||||
@test MetagraphOptimization.data(S2) == 0
|
||||
@test MetagraphOptimization.data(U) == 0
|
||||
@test MetagraphOptimization.data(V) == 0
|
||||
@test MetagraphOptimization.data(P) == 0
|
||||
@test MetagraphOptimization.data(Sum) == 0
|
||||
@test MetagraphOptimization.data(Data10) == 10
|
||||
@test MetagraphOptimization.data(Data20) == 20
|
||||
@test MetagraphOptimization.data(S1) == 0
|
||||
@test MetagraphOptimization.data(S2) == 0
|
||||
@test MetagraphOptimization.data(U) == 0
|
||||
@test MetagraphOptimization.data(V) == 0
|
||||
@test MetagraphOptimization.data(P) == 0
|
||||
@test MetagraphOptimization.data(Sum) == 0
|
||||
@test MetagraphOptimization.data(Data10) == 10
|
||||
@test MetagraphOptimization.data(Data20) == 20
|
||||
|
||||
@test MetagraphOptimization.compute_intensity(S1) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(S2) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(U) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(V) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(P) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(Sum) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(Data10) == 0
|
||||
@test MetagraphOptimization.compute_intensity(Data20) == 0
|
||||
@test MetagraphOptimization.compute_intensity(S1) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(S2) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(U) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(V) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(P) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(Sum) == typemax(UInt64)
|
||||
@test MetagraphOptimization.compute_intensity(Data10) == 0
|
||||
@test MetagraphOptimization.compute_intensity(Data20) == 0
|
||||
|
||||
@test S1 != S2
|
||||
@test Data10 != Data20
|
||||
|
||||
Data10_2 = MetagraphOptimization.DataTask(10)
|
||||
@test S1 != S2
|
||||
@test Data10 != Data20
|
||||
|
||||
# two data tasks with same data are identical, their nodes need not be
|
||||
@test Data10_2 == Data10
|
||||
Data10_2 = MetagraphOptimization.DataTask(10)
|
||||
|
||||
@test Data10 == Data10
|
||||
@test S1 == S1
|
||||
# two data tasks with same data are identical, their nodes need not be
|
||||
@test Data10_2 == Data10
|
||||
|
||||
Data10_3 = copy(Data10)
|
||||
@test Data10 == Data10
|
||||
@test S1 == S1
|
||||
|
||||
@test Data10_3 == Data10
|
||||
Data10_3 = copy(Data10)
|
||||
|
||||
S1_2 = copy(S1)
|
||||
@test Data10_3 == Data10
|
||||
|
||||
@test S1_2 == S1
|
||||
@test S1 == MetagraphOptimization.ComputeTaskS1()
|
||||
S1_2 = copy(S1)
|
||||
|
||||
@test S1_2 == S1
|
||||
@test S1 == MetagraphOptimization.ComputeTaskS1()
|
||||
end
|
||||
println("Task Unit Tests Complete!")
|
||||
|
||||
@ -1,11 +1,11 @@
|
||||
|
||||
@testset "Unit Tests Utility" begin
|
||||
@test MetagraphOptimization.bytes_to_human_readable(0) == "0.0 B"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(1020) == "1020.0 B"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(1025) == "1.001 KiB"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(684235) == "668.2 KiB"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(86214576) == "82.22 MiB"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(9241457698) == "8.607 GiB"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(3218598654367) == "2.927 TiB"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(0) == "0.0 B"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(1020) == "1020.0 B"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(1025) == "1.001 KiB"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(684235) == "668.2 KiB"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(86214576) == "82.22 MiB"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(9241457698) == "8.607 GiB"
|
||||
@test MetagraphOptimization.bytes_to_human_readable(3218598654367) == "2.927 TiB"
|
||||
end
|
||||
println("Utility Unit Tests Complete!")
|
||||
|
||||
Reference in New Issue
Block a user