test_mpi_t8code_3d.jl

module TestExamplesMPIT8codeMesh3D

using Test
using Trixi

include("test_trixi.jl")

EXAMPLES_DIR = joinpath(examples_dir(), "t8code_3d_dgsem")

@testset "T8codeMesh MPI 3D" begin
#! format: noindent

# Run basic tests
@testset "Examples 3D" begin
    # Linear scalar advection
    @trixi_testset "elixir_advection_basic.jl" begin
        @test_trixi_include(joinpath(EXAMPLES_DIR, "elixir_advection_basic.jl"),
                            # Expected errors are exactly the same as with TreeMesh!
                            l2=[0.00016263963870641478],
                            linf=[0.0014537194925779984])

        @testset "error-based step size control" begin
            mpi_isroot() && println("-"^100)
            mpi_isroot() &&
                println("elixir_advection_basic.jl with error-based step size control")

            # Use callbacks without stepsize_callback to test error-based step size control
            callbacks = CallbackSet(summary_callback, analysis_callback, save_restart,
                                    save_solution)
            sol = solve(ode, RDPK3SpFSAL35(); abstol = 1.0e-4, reltol = 1.0e-4,
                        ode_default_options()..., callback = callbacks)
            summary_callback()
            errors = analysis_callback(sol)
            if mpi_isroot()
                @test errors.l2≈[0.00016800412839949264] rtol=1.0e-4
                @test errors.linf≈[0.0014548839020096516] rtol=1.0e-4
            end
        end

        # Ensure that we do not have excessive memory allocations
        # (e.g., from type instabilities)
        @test_allocations(Trixi.rhs!, semi, sol, 1000)
    end

    @trixi_testset "elixir_advection_amr.jl" begin
        @test_trixi_include(joinpath(EXAMPLES_DIR, "elixir_advection_amr.jl"),
                            # Expected errors are exactly the same as with TreeMesh!
                            l2=[1.1302812803902801e-5],
                            linf=[0.0007889950196294793])

        # Ensure that we do not have excessive memory allocations
        # (e.g., from type instabilities)
        @test_allocations(Trixi.rhs!, semi, sol, 1000)
    end

    # There is an issue with the LoopVectorization.jl ecosystem for this setup
    # (not caused by MPI), see
    # https://github.com/JuliaSIMD/LoopVectorization.jl/issues/543
    # Thus, we do not run this test on macOS with ARM processors.
    @trixi_testset "elixir_advection_amr_unstructured_curved.jl" begin
        if Sys.isapple() && (Sys.ARCH === :aarch64)
            # Show a hint in the test summary that there is a broken test
            @test_skip false
        else
            @test_trixi_include(joinpath(EXAMPLES_DIR,
                                         "elixir_advection_amr_unstructured_curved.jl"),
                                l2=[2.0535121347526814e-5],
                                linf=[0.0010586603797777504],
                                tspan=(0.0, 1.0))

            # Ensure that we do not have excessive memory allocations
            # (e.g., from type instabilities)
            @test_allocations(Trixi.rhs!, semi, sol, 1000)
        end
    end

    @trixi_testset "elixir_advection_restart.jl" begin
        @test_trixi_include(joinpath(EXAMPLES_DIR, "elixir_advection_restart.jl"),
                            l2=[0.002590388934758452],
                            linf=[0.01840757696885409])

        # Ensure that we do not have excessive memory allocations
        # (e.g., from type instabilities)
        @test_allocations(Trixi.rhs!, semi, sol, 1000)
    end

    # Compressible Euler
    @trixi_testset "elixir_euler_source_terms_nonconforming_unstructured_curved.jl" begin
        @test_trixi_include(joinpath(EXAMPLES_DIR,
                                     "elixir_euler_source_terms_nonconforming_unstructured_curved.jl"),
                            l2=[
                                4.070355207909268e-5,
                                4.4993257426833716e-5,
                                5.10588457841744e-5,
                                5.102840924036687e-5,
                                0.00019986264001630542
                            ],
                            linf=[
                                0.0016987332417202072,
                                0.003622956808262634,
                                0.002029576258317789,
                                0.0024206977281964193,
                                0.008526972236273522
                            ],
                            tspan=(0.0, 0.01))

        # Ensure that we do not have excessive memory allocations
        # (e.g., from type instabilities)
        @test_allocations(Trixi.rhs!, semi, sol, 1000)
    end

    @trixi_testset "elixir_euler_source_terms_nonperiodic.jl" begin
        @test_trixi_include(joinpath(EXAMPLES_DIR,
                                     "elixir_euler_source_terms_nonperiodic.jl"),
                            l2=[
                                0.0015106060984283647,
                                0.0014733349038567685,
                                0.00147333490385685,
                                0.001473334903856929,
                                0.0028149479453087093
                            ],
                            linf=[
                                0.008070806335238156,
                                0.009007245083113125,
                                0.009007245083121784,
                                0.009007245083102688,
                                0.01562861968368434
                            ],
                            tspan=(0.0, 1.0))

        # Ensure that we do not have excessive memory allocations
        # (e.g., from type instabilities)
        @test_allocations(Trixi.rhs!, semi, sol, 1000)
    end

    @trixi_testset "elixir_euler_ec.jl" begin
        @test_trixi_include(joinpath(EXAMPLES_DIR, "elixir_euler_ec.jl"),
                            l2=[
                                0.010380390326164493,
                                0.006192950051354618,
                                0.005970674274073704,
                                0.005965831290564327,
                                0.02628875593094754
                            ],
                            linf=[
                                0.3326911600075694,
                                0.2824952141320467,
                                0.41401037398065543,
                                0.45574161423218573,
                                0.8099577682187109
                            ],
                            tspan=(0.0, 0.2))

        # Ensure that we do not have excessive memory allocations
        # (e.g., from type instabilities)
        @test_allocations(Trixi.rhs!, semi, sol, 1000)
    end
end
end # T8codeMesh MPI

end # module