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test_type.jl
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module TestType
using Test
using Trixi
include("test_trixi.jl")
# Start with a clean environment: remove Trixi.jl output directory if it exists
outdir = "out"
isdir(outdir) && rm(outdir, recursive = true)
# Run unit tests for various equations
@testset "Test Type Stability" begin
@timed_testset "mean values" begin
for RealT1 in (Float32, Float64), RealT2 in (Float32, Float64)
RealT = promote_type(RealT1, RealT2)
@test typeof(@inferred Trixi.ln_mean(RealT1(1), RealT2(2))) == RealT
@test typeof(@inferred Trixi.inv_ln_mean(RealT1(1), RealT2(2))) == RealT
for RealT3 in (Float32, Float64)
RealT = promote_type(RealT1, RealT2, RealT3)
@test typeof(@inferred Trixi.stolarsky_mean(RealT1(1), RealT2(2),
RealT3(3))) ==
RealT
end
end
end
@timed_testset "TreeMesh & SerialTree type consistence" begin
for RealT in (Float32, Float64)
coordinates_min = -convert(RealT, 1)
coordinates_max = convert(RealT, 1)
mesh = TreeMesh(coordinates_min, coordinates_max,
initial_refinement_level = 6,
n_cells_max = 30_000,
RealT = RealT)
@test typeof(@inferred Trixi.total_volume(mesh)) == RealT
coordinates_min = (-convert(RealT, 42), -convert(RealT, 42))
coordinates_max = (convert(RealT, 42), convert(RealT, 42))
mesh = TreeMesh(coordinates_min, coordinates_max,
initial_refinement_level = 5,
n_cells_max = 30_000,
RealT = RealT)
@test typeof(@inferred Trixi.total_volume(mesh)) == RealT
coordinates_min = (-convert(RealT, pi), -convert(RealT, pi),
-convert(RealT, pi))
coordinates_max = (convert(RealT, pi), convert(RealT, pi),
convert(RealT, pi))
mesh = TreeMesh(coordinates_min, coordinates_max,
initial_refinement_level = 4,
n_cells_max = 30_000,
RealT = RealT)
@test typeof(@inferred Trixi.total_volume(mesh)) == RealT
end
end
@timed_testset "Acoustic Perturbation 2D" begin
for RealT in (Float32, Float64)
v_mean_global = (zero(RealT), zero(RealT))
c_mean_global = one(RealT)
rho_mean_global = one(RealT)
equations = @inferred AcousticPerturbationEquations2D(v_mean_global,
c_mean_global,
rho_mean_global)
x = SVector(zero(RealT), zero(RealT))
t = zero(RealT)
u = u_ll = u_rr = u_inner = SVector(one(RealT), one(RealT), one(RealT),
one(RealT),
one(RealT),
one(RealT), one(RealT))
orientations = [1, 2]
directions = [1, 2, 3, 4]
normal_direction = SVector(one(RealT), zero(RealT))
surface_flux_function = flux_lax_friedrichs
dissipation = DissipationLocalLaxFriedrichs()
@test eltype(@inferred initial_condition_constant(x, t, equations)) == RealT
@test eltype(@inferred initial_condition_convergence_test(x, t, equations)) ==
RealT
@test eltype(@inferred initial_condition_gauss(x, t, equations)) == RealT
@test eltype(@inferred source_terms_convergence_test(u, x, t, equations)) ==
RealT
@test eltype(@inferred source_terms_convergence_test(u, x, t, equations)) ==
RealT
for orientation in orientations
for direction in directions
@test eltype(@inferred boundary_condition_wall(u_inner, orientation,
direction, x, t,
surface_flux_function,
equations)) == RealT
end
end
@test eltype(@inferred boundary_condition_slip_wall(u_inner,
normal_direction, x, t,
surface_flux_function,
equations)) ==
RealT
@test eltype(@inferred flux(u, normal_direction, equations)) == RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, normal_direction,
equations)) ==
RealT
@test eltype(@inferred dissipation(u_ll, u_rr, normal_direction, equations)) ==
RealT
for orientation in orientations
@test eltype(@inferred flux(u, orientation, equations)) == RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, orientation,
equations)) ==
RealT
@test eltype(@inferred dissipation(u_ll, u_rr, orientation, equations)) ==
RealT
end
@test eltype(@inferred Trixi.max_abs_speeds(u, equations)) == RealT
@test eltype(@inferred cons2prim(u, equations)) == RealT
@test eltype(@inferred prim2cons(u, equations)) == RealT
@test eltype(@inferred cons2entropy(u, equations)) == RealT
end
end
@timed_testset "Compressible Euler 1D" begin
for RealT in (Float32, Float64)
# set gamma = 2 for the coupling convergence test
equations = @inferred CompressibleEulerEquations1D(RealT(2))
x = SVector(zero(RealT))
t = zero(RealT)
u = u_ll = u_rr = u_inner = cons = SVector(one(RealT), one(RealT), one(RealT))
orientation = 1
directions = [1, 2]
surface_flux_function = flux_lax_friedrichs
@test eltype(@inferred initial_condition_constant(x, t, equations)) == RealT
@test eltype(@inferred initial_condition_convergence_test(x, t, equations)) ==
RealT
@test eltype(@inferred initial_condition_density_wave(x, t, equations)) == RealT
@test eltype(@inferred initial_condition_weak_blast_wave(x, t, equations)) ==
RealT
@test eltype(@inferred initial_condition_eoc_test_coupled_euler_gravity(x, t,
equations)) ==
RealT
@test eltype(@inferred source_terms_convergence_test(u, x, t, equations)) ==
RealT
for direction in directions
@test eltype(@inferred boundary_condition_slip_wall(u_inner, orientation,
direction,
x, t,
surface_flux_function,
equations)) ==
RealT
end
@test eltype(@inferred flux(u, orientation, equations)) == RealT
@test eltype(@inferred flux_shima_etal(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred flux_kennedy_gruber(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred flux_hllc(u_ll, u_rr, orientation, equations)) == RealT
@test eltype(@inferred flux_chandrashekar(u_ll, u_rr, orientation,
equations)) ==
RealT
@test eltype(@inferred flux_ranocha(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(eltype(@inferred splitting_steger_warming(u, orientation,
equations))) ==
RealT
@test eltype(eltype(@inferred splitting_vanleer_haenel(u, orientation,
equations))) ==
RealT
@test eltype(eltype(@inferred splitting_coirier_vanleer(u, orientation,
equations))) ==
RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred min_max_speed_naive(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred min_max_speed_davis(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred min_max_speed_einfeldt(u_ll, u_rr, orientation,
equations)) ==
RealT
@test eltype(@inferred Trixi.max_abs_speeds(u, equations)) == RealT
@test eltype(@inferred cons2prim(u, equations)) == RealT
@test eltype(@inferred prim2cons(u, equations)) == RealT
@test eltype(@inferred cons2entropy(u, equations)) == RealT
@test eltype(@inferred entropy2cons(u, equations)) == RealT
@test typeof(@inferred density(u, equations)) == RealT
@test typeof(@inferred velocity(u, equations)) == RealT
@test typeof(@inferred pressure(u, equations)) == RealT
@test typeof(@inferred density_pressure(u, equations)) == RealT
@test typeof(@inferred entropy(cons, equations)) == RealT
@test typeof(@inferred energy_internal(cons, equations)) == RealT
end
end
@timed_testset "Compressible Euler 2D" begin
for RealT in (Float32, Float64)
# set gamma = 2 for the coupling convergence test
equations = @inferred CompressibleEulerEquations2D(RealT(2))
x = SVector(zero(RealT), zero(RealT))
t = zero(RealT)
u = u_ll = u_rr = u_inner = cons = SVector(one(RealT), one(RealT), one(RealT),
one(RealT))
orientations = [1, 2]
directions = [1, 2, 3, 4]
normal_direction = SVector(one(RealT), zero(RealT))
surface_flux_function = flux_lax_friedrichs
flux_lmars = FluxLMARS(340)
@test eltype(@inferred initial_condition_constant(x, t, equations)) == RealT
@test eltype(@inferred initial_condition_convergence_test(x, t, equations)) ==
RealT
@test eltype(@inferred initial_condition_density_wave(x, t, equations)) == RealT
@test eltype(@inferred initial_condition_weak_blast_wave(x, t, equations)) ==
RealT
@test eltype(@inferred initial_condition_eoc_test_coupled_euler_gravity(x, t,
equations)) ==
RealT
@test eltype(@inferred source_terms_convergence_test(u, x, t, equations)) ==
RealT
@test eltype(@inferred source_terms_eoc_test_coupled_euler_gravity(u, x, t,
equations)) ==
RealT
@test eltype(@inferred source_terms_eoc_test_euler(u, x, t, equations)) ==
RealT
for orientation in orientations
for direction in directions
@test eltype(@inferred boundary_condition_slip_wall(u_inner,
orientation,
direction, x, t,
surface_flux_function,
equations)) == RealT
end
end
@test eltype(@inferred velocity(u, normal_direction, equations)) == RealT
@test eltype(@inferred flux(u, normal_direction, equations)) == RealT
@test eltype(@inferred flux_shima_etal(u_ll, u_rr, normal_direction, equations)) ==
RealT
@test eltype(@inferred flux_kennedy_gruber(u_ll, u_rr, normal_direction,
equations)) ==
RealT
@test eltype(@inferred flux_lmars(u_ll, u_rr, normal_direction, equations)) ==
RealT
@test eltype(@inferred flux_hllc(u_ll, u_rr, normal_direction, equations)) ==
RealT
@test eltype(@inferred flux_chandrashekar(u_ll, u_rr, normal_direction,
equations)) ==
RealT
@test eltype(@inferred flux_ranocha(u_ll, u_rr, normal_direction,
equations)) == RealT
@test eltype(eltype(@inferred splitting_drikakis_tsangaris(u, normal_direction,
equations))) == RealT
@test eltype(eltype(@inferred splitting_vanleer_haenel(u, normal_direction,
equations))) ==
RealT
@test eltype(eltype(@inferred splitting_lax_friedrichs(u, normal_direction,
equations))) ==
RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, normal_direction,
equations)) ==
RealT
@test eltype(@inferred min_max_speed_naive(u_ll, u_rr, normal_direction,
equations)) ==
RealT
@test eltype(@inferred min_max_speed_davis(u_ll, u_rr, normal_direction,
equations)) ==
RealT
@test eltype(@inferred min_max_speed_einfeldt(u_ll, u_rr, normal_direction,
equations)) ==
RealT
for orientation in orientations
@test eltype(@inferred velocity(u, orientation, equations)) == RealT
@test eltype(@inferred flux(u, orientation, equations)) == RealT
@test eltype(@inferred flux_shima_etal(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred flux_kennedy_gruber(u_ll, u_rr, orientation,
equations)) ==
RealT
@test eltype(@inferred flux_lmars(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred flux_hllc(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred flux_chandrashekar(u_ll, u_rr, orientation,
equations)) ==
RealT
@test eltype(@inferred flux_ranocha(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(eltype(@inferred splitting_steger_warming(u, orientation,
equations))) ==
RealT
@test eltype(eltype(@inferred splitting_drikakis_tsangaris(u, orientation,
equations))) ==
RealT
@test eltype(eltype(@inferred splitting_vanleer_haenel(u, orientation,
equations))) ==
RealT
@test eltype(eltype(@inferred splitting_lax_friedrichs(u, orientation,
equations))) ==
RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, orientation,
equations)) ==
RealT
@test eltype(@inferred min_max_speed_naive(u_ll, u_rr, orientation,
equations)) ==
RealT
@test eltype(@inferred min_max_speed_davis(u_ll, u_rr, orientation,
equations)) ==
RealT
@test eltype(@inferred min_max_speed_einfeldt(u_ll, u_rr, orientation,
equations)) ==
RealT
end
@test eltype(@inferred velocity(u, equations)) == RealT
@test eltype(@inferred Trixi.max_abs_speeds(u, equations)) == RealT
@test eltype(@inferred cons2prim(u, equations)) == RealT
@test eltype(@inferred prim2cons(u, equations)) == RealT
@test eltype(@inferred cons2entropy(u, equations)) == RealT
@test eltype(@inferred entropy2cons(u, equations)) == RealT
@test eltype(@inferred Trixi.cons2entropy_guermond_etal(u, equations)) == RealT
@test typeof(@inferred Trixi.entropy_guermond_etal(u, equations)) == RealT
@test typeof(@inferred density(u, equations)) == RealT
@test typeof(@inferred pressure(u, equations)) == RealT
@test typeof(@inferred density_pressure(u, equations)) == RealT
@test typeof(@inferred entropy(cons, equations)) == RealT
@test typeof(@inferred Trixi.entropy_math(cons, equations)) == RealT
@test typeof(@inferred Trixi.entropy_thermodynamic(cons, equations)) == RealT
@test typeof(@inferred energy_internal(cons, equations)) == RealT
@test eltype(@inferred Trixi.gradient_conservative(pressure, u, equations)) ==
RealT
@test eltype(@inferred Trixi.gradient_conservative(Trixi.entropy_math, u,
equations)) == RealT
@test eltype(@inferred Trixi.gradient_conservative(Trixi.entropy_guermond_etal,
u,
equations)) == RealT
end
end
@timed_testset "Compressible Euler 3D" begin
for RealT in (Float32, Float64)
# set gamma = 2 for the coupling convergence test
equations = @inferred CompressibleEulerEquations3D(RealT(2))
x = SVector(zero(RealT), zero(RealT), zero(RealT))
t = zero(RealT)
u = u_ll = u_rr = u_inner = cons = SVector(one(RealT), one(RealT), one(RealT),
one(RealT), one(RealT))
orientations = [1, 2, 3]
directions = [1, 2, 3, 4, 5, 6]
normal_direction = SVector(one(RealT), zero(RealT), zero(RealT))
surface_flux_function = flux_lax_friedrichs
flux_lmars = FluxLMARS(340)
@test eltype(@inferred initial_condition_constant(x, t, equations)) == RealT
@test eltype(@inferred initial_condition_convergence_test(x, t, equations)) ==
RealT
@test eltype(@inferred initial_condition_weak_blast_wave(x, t, equations)) ==
RealT
@test eltype(@inferred initial_condition_eoc_test_coupled_euler_gravity(x, t,
equations)) ==
RealT
@test eltype(@inferred source_terms_convergence_test(u, x, t, equations)) ==
RealT
@test eltype(@inferred source_terms_eoc_test_coupled_euler_gravity(u, x, t,
equations)) ==
RealT
@test eltype(@inferred source_terms_eoc_test_euler(u, x, t, equations)) == RealT
for orientation in orientations
for direction in directions
@test eltype(@inferred boundary_condition_slip_wall(u_inner,
orientation,
direction, x, t,
surface_flux_function,
equations)) == RealT
end
end
@test eltype(@inferred velocity(u, normal_direction, equations)) == RealT
@test eltype(@inferred flux(u, normal_direction, equations)) == RealT
@test eltype(@inferred flux_shima_etal(u_ll, u_rr, normal_direction, equations)) ==
RealT
@test eltype(@inferred flux_kennedy_gruber(u_ll, u_rr, normal_direction,
equations)) == RealT
@test eltype(@inferred flux_lmars(u_ll, u_rr, normal_direction, equations)) ==
RealT
@test eltype(@inferred flux_hllc(u_ll, u_rr, normal_direction, equations)) ==
RealT
@test eltype(@inferred flux_chandrashekar(u_ll, u_rr, normal_direction,
equations)) == RealT
@test eltype(@inferred flux_ranocha(u_ll, u_rr, normal_direction,
equations)) == RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, normal_direction,
equations)) ==
RealT
@test eltype(@inferred min_max_speed_naive(u_ll, u_rr, normal_direction,
equations)) == RealT
@test eltype(@inferred min_max_speed_davis(u_ll, u_rr, normal_direction,
equations)) == RealT
@test eltype(@inferred min_max_speed_einfeldt(u_ll, u_rr, normal_direction,
equations)) == RealT
for orientation in orientations
@test eltype(@inferred velocity(u, orientation, equations)) == RealT
@test eltype(@inferred flux(u, orientation, equations)) == RealT
@test eltype(@inferred flux_shima_etal(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred flux_kennedy_gruber(u_ll, u_rr, orientation,
equations)) ==
RealT
@test eltype(@inferred flux_lmars(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred flux_hllc(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred flux_chandrashekar(u_ll, u_rr, orientation,
equations)) == RealT
@test eltype(@inferred flux_ranocha(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(eltype(@inferred splitting_steger_warming(u, orientation,
equations))) ==
RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, orientation,
equations)) == RealT
@test eltype(@inferred min_max_speed_naive(u_ll, u_rr, orientation,
equations)) == RealT
@test eltype(@inferred min_max_speed_davis(u_ll, u_rr, orientation,
equations)) == RealT
@test eltype(@inferred min_max_speed_einfeldt(u_ll, u_rr, orientation,
equations)) == RealT
end
@test eltype(@inferred velocity(u, equations)) == RealT
@test eltype(@inferred Trixi.max_abs_speeds(u, equations)) == RealT
@test eltype(@inferred cons2prim(u, equations)) == RealT
@test eltype(@inferred prim2cons(u, equations)) == RealT
@test eltype(@inferred cons2entropy(u, equations)) == RealT
@test eltype(@inferred entropy2cons(u, equations)) == RealT
@test typeof(@inferred density(u, equations)) == RealT
@test typeof(@inferred pressure(u, equations)) == RealT
@test typeof(@inferred density_pressure(u, equations)) == RealT
@test typeof(@inferred entropy(cons, equations)) == RealT
@test typeof(@inferred Trixi.entropy_math(cons, equations)) == RealT
@test typeof(@inferred Trixi.entropy_thermodynamic(cons, equations)) == RealT
@test typeof(@inferred energy_internal(cons, equations)) == RealT
end
end
@timed_testset "Compressible Euler Multicomponent 1D" begin
for RealT in (Float32, Float64)
gammas = (RealT(1.4), RealT(1.4))
gas_constants = (RealT(0.4), RealT(0.4))
equations = @inferred CompressibleEulerMulticomponentEquations1D(gammas = gammas,
gas_constants = gas_constants)
x = SVector(zero(RealT))
t = zero(RealT)
u = u_ll = u_rr = SVector(one(RealT), one(RealT), one(RealT), one(RealT))
orientation = 1
@test eltype(@inferred initial_condition_convergence_test(x, t, equations)) ==
RealT
@test eltype(@inferred initial_condition_weak_blast_wave(x, t, equations)) ==
RealT
@test eltype(@inferred source_terms_convergence_test(u, x, t, equations)) ==
RealT
@test eltype(@inferred velocity(u, equations)) == RealT
@test eltype(@inferred flux(u, orientation, equations)) == RealT
@test eltype(@inferred flux_chandrashekar(u_ll, u_rr, orientation,
equations)) == RealT
@test eltype(@inferred flux_ranocha(u_ll, u_rr, orientation, equations)) ==
RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred Trixi.max_abs_speeds(u, equations)) == RealT
@test eltype(@inferred cons2prim(u, equations)) == RealT
@test eltype(@inferred prim2cons(u, equations)) == RealT
@test eltype(@inferred cons2entropy(u, equations)) == RealT
@test eltype(@inferred entropy2cons(u, equations)) == RealT
@test typeof(@inferred Trixi.total_entropy(u, equations)) == RealT
@test typeof(@inferred Trixi.temperature(u, equations)) == RealT
@test typeof(@inferred Trixi.totalgamma(u, equations)) == RealT
@test typeof(@inferred density(u, equations)) == RealT
@test typeof(@inferred pressure(u, equations)) == RealT
end
end
@timed_testset "Compressible Euler Multicomponent 2D" begin
for RealT in (Float32, Float64)
gammas = (RealT(1.4), RealT(1.4))
gas_constants = (RealT(0.4), RealT(0.4))
equations = @inferred CompressibleEulerMulticomponentEquations2D(gammas = gammas,
gas_constants = gas_constants)
x = SVector(zero(RealT), zero(RealT))
t = zero(RealT)
u = u_ll = u_rr = SVector(one(RealT), one(RealT), one(RealT), one(RealT),
one(RealT))
orientations = [1, 2]
normal_direction = SVector(one(RealT), zero(RealT))
@test eltype(@inferred initial_condition_convergence_test(x, t, equations)) ==
RealT
@test eltype(@inferred initial_condition_weak_blast_wave(x, t, equations)) ==
RealT
@test eltype(@inferred source_terms_convergence_test(u, x, t, equations)) ==
RealT
@test eltype(@inferred velocity(u, normal_direction, equations)) == RealT
@test eltype(@inferred flux(u, normal_direction, equations)) == RealT
@test eltype(@inferred flux_ranocha(u_ll, u_rr, normal_direction,
equations)) == RealT
for orientation in orientations
@test eltype(@inferred velocity(u, orientation, equations)) == RealT
@test eltype(@inferred flux(u, orientation, equations)) == RealT
@test eltype(@inferred flux_chandrashekar(u_ll, u_rr, orientation,
equations)) == RealT
@test eltype(@inferred flux_ranocha(u_ll, u_rr, orientation, equations)) ==
RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, orientation,
equations)) ==
RealT
end
@test eltype(@inferred velocity(u, equations)) == RealT
@test eltype(@inferred Trixi.max_abs_speeds(u, equations)) == RealT
@test eltype(@inferred cons2prim(u, equations)) == RealT
@test eltype(@inferred prim2cons(u, equations)) == RealT
@test eltype(@inferred cons2entropy(u, equations)) == RealT
@test eltype(@inferred entropy2cons(u, equations)) == RealT
@test typeof(@inferred Trixi.total_entropy(u, equations)) == RealT
@test typeof(@inferred Trixi.temperature(u, equations)) == RealT
@test typeof(@inferred Trixi.totalgamma(u, equations)) == RealT
@test typeof(@inferred density(u, equations)) == RealT
@test typeof(@inferred density_pressure(u, equations)) == RealT
end
end
@timed_testset "Compressible Euler Quasi 1D" begin
for RealT in (Float32, Float64)
equations = @inferred CompressibleEulerEquationsQuasi1D(RealT(1.4))
x = SVector(zero(RealT))
t = zero(RealT)
u = u_ll = u_rr = SVector(one(RealT), one(RealT), one(RealT), one(RealT))
orientation = 1
normal_direction = normal_ll = normal_rr = SVector(one(RealT))
@test eltype(@inferred initial_condition_convergence_test(x, t, equations)) ==
RealT
@test eltype(@inferred source_terms_convergence_test(u, x, t, equations)) ==
RealT
@test eltype(@inferred flux(u, orientation, equations)) == RealT
@test eltype(@inferred flux_nonconservative_chan_etal(u_ll, u_rr, orientation,
equations)) == RealT
@test eltype(@inferred flux_nonconservative_chan_etal(u_ll, u_rr,
normal_direction,
equations)) ==
RealT
@test eltype(@inferred flux_nonconservative_chan_etal(u_ll, u_rr, normal_ll,
normal_rr, equations)) ==
RealT
@test eltype(@inferred flux_chan_etal(u_ll, u_rr, orientation, equations)) ==
RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, orientation, equations)) ==
RealT
@test eltype(@inferred Trixi.max_abs_speeds(u, equations)) == RealT
@test eltype(@inferred cons2prim(u, equations)) == RealT
@test eltype(@inferred prim2cons(u, equations)) == RealT
@test eltype(@inferred cons2entropy(u, equations)) == RealT
@test typeof(@inferred entropy(u, equations)) == RealT
@test typeof(@inferred density(u, equations)) == RealT
@test typeof(@inferred pressure(u, equations)) == RealT
@test typeof(@inferred density_pressure(u, equations)) == RealT
end
end
@timed_testset "Compressible Navier Stokes Diffusion 1D" begin
for RealT in (Float32, Float64)
equations = @inferred CompressibleEulerEquations1D(RealT(1.4))
prandtl_number = RealT(0.72)
mu = RealT(0.01)
equations_parabolic_primitive = @inferred CompressibleNavierStokesDiffusion1D(equations,
mu = mu,
Prandtl = prandtl_number,
gradient_variables = GradientVariablesPrimitive())
equations_parabolic_entropy = @inferred CompressibleNavierStokesDiffusion1D(equations,
mu = mu,
Prandtl = prandtl_number,
gradient_variables = GradientVariablesEntropy())
x = SVector(zero(RealT))
t = zero(RealT)
u = u_inner = u_transformed = flux_inner = SVector(one(RealT), zero(RealT),
zero(RealT))
orientation = 1
directions = [1, 2]
gradients = SVector(RealT(0.1), RealT(0.1), RealT(0.1))
operator_gradient = Trixi.Gradient()
operator_divergence = Trixi.Divergence()
# For BC tests
function initial_condition_navier_stokes_convergence_test(x, t, equations)
RealT_local = eltype(x)
A = 0.5f0
c = 2
pi_x = convert(RealT_local, pi) * x[1]
pi_t = convert(RealT_local, pi) * t
rho = c + A * cos(pi_x) * cos(pi_t)
v1 = log(x[1] + 2) * (1 - exp(-A * (x[1] - 1))) * cos(pi_t)
p = rho^2
return prim2cons(SVector(rho, v1, p), equations)
end
for equations_parabolic in (equations_parabolic_primitive,
equations_parabolic_entropy)
@test eltype(@inferred flux(u, gradients, orientation, equations_parabolic)) ==
RealT
@test eltype(@inferred cons2prim(u, equations_parabolic)) == RealT
@test eltype(@inferred prim2cons(u, equations_parabolic)) == RealT
@test eltype(@inferred cons2entropy(u, equations_parabolic)) == RealT
@test eltype(@inferred entropy2cons(u, equations_parabolic)) == RealT
@test typeof(@inferred Trixi.temperature(u, equations_parabolic)) == RealT
@test eltype(@inferred Trixi.convert_transformed_to_primitive(u_transformed,
equations_parabolic)) ==
RealT
@test eltype(@inferred Trixi.convert_derivative_to_primitive(u, gradients,
equations_parabolic)) ==
RealT
# For BC tests
velocity_bc_left_right = NoSlip((x, t, equations) -> initial_condition_navier_stokes_convergence_test(x,
t,
equations)[2])
heat_bc_left = Isothermal((x, t, equations) -> Trixi.temperature(initial_condition_navier_stokes_convergence_test(x,
t,
equations),
equations_parabolic))
heat_bc_right = Adiabatic((x, t, equations) -> oftype(t, 0))
boundary_condition_left = BoundaryConditionNavierStokesWall(velocity_bc_left_right,
heat_bc_left)
boundary_condition_right = BoundaryConditionNavierStokesWall(velocity_bc_left_right,
heat_bc_right)
# BC tests
for direction in directions
@test eltype(@inferred boundary_condition_right(flux_inner, u_inner,
orientation, direction,
x,
t, operator_gradient,
equations_parabolic)) ==
RealT
@test eltype(@inferred boundary_condition_right(flux_inner, u_inner,
orientation, direction,
x,
t, operator_divergence,
equations_parabolic)) ==
RealT
@test eltype(@inferred boundary_condition_left(flux_inner, u_inner,
orientation, direction,
x,
t, operator_gradient,
equations_parabolic)) ==
RealT
@test eltype(@inferred boundary_condition_left(flux_inner, u_inner,
orientation, direction,
x,
t, operator_divergence,
equations_parabolic)) ==
RealT
end
end
end
end
@timed_testset "Compressible Navier Stokes Diffusion 2D" begin
for RealT in (Float32, Float64)
equations = @inferred CompressibleEulerEquations2D(RealT(1.4))
prandtl_number = RealT(0.72)
mu = RealT(0.01)
equations_parabolic_primitive = @inferred CompressibleNavierStokesDiffusion2D(equations,
mu = mu,
Prandtl = prandtl_number,
gradient_variables = GradientVariablesPrimitive())
equations_parabolic_entropy = @inferred CompressibleNavierStokesDiffusion2D(equations,
mu = mu,
Prandtl = prandtl_number,
gradient_variables = GradientVariablesEntropy())
x = SVector(zero(RealT), zero(RealT))
t = zero(RealT)
u = w_inner = u_transformed = flux_inner = normal = SVector(one(RealT),
zero(RealT),
zero(RealT),
zero(RealT))
orientations = [1, 2]
gradient = SVector(RealT(0.1), RealT(0.1), RealT(0.1), RealT(0.1))
gradients = SVector(gradient, gradient)
operator_gradient = Trixi.Gradient()
operator_divergence = Trixi.Divergence()
# For BC tests
function initial_condition_navier_stokes_convergence_test(x, t, equations)
RealT_local = eltype(x)
A = 0.5f0
c = 2
pi_x = convert(RealT_local, pi) * x[1]
pi_y = convert(RealT_local, pi) * x[2]
pi_t = convert(RealT_local, pi) * t
rho = c + A * sin(pi_x) * cos(pi_y) * cos(pi_t)
v1 = sin(pi_x) * log(x[2] + 2) * (1 - exp(-A * (x[2] - 1))) * cos(pi_t)
v2 = v1
p = rho^2
return prim2cons(SVector(rho, v1, v2, p), equations)
end
for equations_parabolic in (equations_parabolic_primitive,
equations_parabolic_entropy)
for orientation in orientations
@test eltype(@inferred flux(u, gradients, orientation,
equations_parabolic)) == RealT
end
@test eltype(@inferred cons2prim(u, equations_parabolic)) == RealT
@test eltype(@inferred prim2cons(u, equations_parabolic)) == RealT
@test eltype(@inferred cons2entropy(u, equations_parabolic)) == RealT
@test eltype(@inferred entropy2cons(u, equations_parabolic)) == RealT
@test typeof(@inferred Trixi.temperature(u, equations_parabolic)) == RealT
@test typeof(@inferred Trixi.enstrophy(u, gradients, equations_parabolic)) ==
RealT
@test typeof(@inferred Trixi.vorticity(u, gradients, equations_parabolic)) ==
RealT
@test eltype(@inferred Trixi.convert_transformed_to_primitive(u_transformed,
equations_parabolic)) ==
RealT
@test eltype(@inferred Trixi.convert_derivative_to_primitive(u, gradient,
equations_parabolic)) ==
RealT
# For BC tests
velocity_bc_left_right = NoSlip((x, t, equations) -> initial_condition_navier_stokes_convergence_test(x,
t,
equations)[2:3])
heat_bc_left = Isothermal((x, t, equations) -> Trixi.temperature(initial_condition_navier_stokes_convergence_test(x,
t,
equations),
equations_parabolic))
heat_bc_right = Adiabatic((x, t, equations) -> oftype(t, 0))
boundary_condition_left = BoundaryConditionNavierStokesWall(velocity_bc_left_right,
heat_bc_left)
boundary_condition_right = BoundaryConditionNavierStokesWall(velocity_bc_left_right,
heat_bc_right)
# BC tests
@test eltype(@inferred boundary_condition_right(flux_inner, w_inner,
normal,
x,
t,
operator_gradient,
equations_parabolic)) ==
RealT
@test eltype(@inferred boundary_condition_right(flux_inner, w_inner,
normal,
x,
t,
operator_divergence,
equations_parabolic)) ==
RealT
@test eltype(@inferred boundary_condition_left(flux_inner, w_inner,
normal,
x,
t, operator_gradient,
equations_parabolic)) ==
RealT
@test eltype(@inferred boundary_condition_left(flux_inner, w_inner,
normal,
x,
t, operator_divergence,
equations_parabolic)) ==
RealT
end
end
end
@timed_testset "Compressible Navier Stokes Diffusion 3D" begin
for RealT in (Float32, Float64)
equations = @inferred CompressibleEulerEquations3D(RealT(1.4))
prandtl_number = RealT(0.72)
mu = RealT(0.01)
equations_parabolic_primitive = @inferred CompressibleNavierStokesDiffusion3D(equations,
mu = mu,
Prandtl = prandtl_number,
gradient_variables = GradientVariablesPrimitive())
equations_parabolic_entropy = @inferred CompressibleNavierStokesDiffusion3D(equations,
mu = mu,
Prandtl = prandtl_number,
gradient_variables = GradientVariablesEntropy())
x = SVector(zero(RealT), zero(RealT), zero(RealT))
t = zero(RealT)
u = w_inner = u_transformed = flux_inner = normal = SVector(one(RealT),
zero(RealT),
zero(RealT),
zero(RealT),
zero(RealT))
orientations = [1, 2, 3]
gradient = SVector(RealT(0.1), RealT(0.1), RealT(0.1), RealT(0.1), RealT(0.1))
gradients = SVector(gradient, gradient, gradient)
operator_gradient = Trixi.Gradient()
operator_divergence = Trixi.Divergence()
# For BC tests
function initial_condition_navier_stokes_convergence_test(x, t, equations)
RealT_local = eltype(x)
c = 2
A1 = 0.5f0
A2 = 1
A3 = 0.5f0
pi_x = convert(RealT_local, pi) * x[1]
pi_y = convert(RealT_local, pi) * x[2]
pi_z = convert(RealT_local, pi) * x[3]
pi_t = convert(RealT_local, pi) * t
rho = c + A1 * sin(pi_x) * cos(pi_y) * sin(pi_z) * cos(pi_t)
v1 = A2 * sin(pi_x) * log(x[2] + 2) * (1 - exp(-A3 * (x[2] - 1))) *
sin(pi_z) * cos(pi_t)
v2 = v1
v3 = v1
p = rho^2
return prim2cons(SVector(rho, v1, v2, v3, p), equations)
end
for equations_parabolic in (equations_parabolic_primitive,
equations_parabolic_entropy)
for orientation in orientations
@test eltype(@inferred flux(u, gradients, orientation,
equations_parabolic)) == RealT
end
@test eltype(@inferred cons2prim(u, equations_parabolic)) == RealT
@test eltype(@inferred prim2cons(u, equations_parabolic)) == RealT
@test eltype(@inferred cons2entropy(u, equations_parabolic)) == RealT
@test eltype(@inferred entropy2cons(u, equations_parabolic)) == RealT
@test typeof(@inferred Trixi.temperature(u, equations_parabolic)) == RealT
@test typeof(@inferred Trixi.enstrophy(u, gradients, equations_parabolic)) ==
RealT
@test eltype(@inferred Trixi.vorticity(u, gradients, equations_parabolic)) ==
RealT
@test eltype(@inferred Trixi.convert_transformed_to_primitive(u_transformed,
equations_parabolic)) ==
RealT
@test eltype(@inferred Trixi.convert_derivative_to_primitive(u, gradient,
equations_parabolic)) ==
RealT
# For BC tests
velocity_bc_left_right = NoSlip((x, t, equations) -> initial_condition_navier_stokes_convergence_test(x,
t,
equations)[2:4])
heat_bc_left = Isothermal((x, t, equations) -> Trixi.temperature(initial_condition_navier_stokes_convergence_test(x,
t,
equations),
equations_parabolic))
heat_bc_right = Adiabatic((x, t, equations) -> oftype(t, 0))
boundary_condition_left = BoundaryConditionNavierStokesWall(velocity_bc_left_right,
heat_bc_left)
boundary_condition_right = BoundaryConditionNavierStokesWall(velocity_bc_left_right,
heat_bc_right)
# BC tests
@test eltype(@inferred boundary_condition_right(flux_inner, w_inner,
normal,
x,
t,
operator_gradient,
equations_parabolic)) ==
RealT
@test eltype(@inferred boundary_condition_right(flux_inner, w_inner,
normal,
x,
t,
operator_divergence,
equations_parabolic)) ==
RealT
@test eltype(@inferred boundary_condition_left(flux_inner, w_inner,
normal,
x,
t, operator_gradient,
equations_parabolic)) ==
RealT
@test eltype(@inferred boundary_condition_left(flux_inner, w_inner,
normal,
x,
t, operator_divergence,
equations_parabolic)) ==
RealT
end
end
end
@timed_testset "Hyperbolic Diffusion 1D" begin
for RealT in (Float32, Float64)
nu = one(RealT)
Lr = RealT(inv(2pi))
equations = @inferred HyperbolicDiffusionEquations1D(nu = nu, Lr = Lr)
x = SVector(zero(RealT))
t = zero(RealT)
u = du = u_ll = u_rr = u_inner = SVector(one(RealT), one(RealT))
orientation = 1
directions = [1, 2]
surface_flux_function = flux_lax_friedrichs
@test typeof(@inferred Trixi.residual_steady_state(du, equations)) == RealT
@test eltype(@inferred initial_condition_poisson_nonperiodic(x, t, equations)) ==
RealT
@test eltype(@inferred source_terms_poisson_nonperiodic(u, x, t, equations)) ==
RealT
@test eltype(@inferred source_terms_harmonic(u, x, t, equations)) == RealT
@test eltype(@inferred Trixi.initial_condition_eoc_test_coupled_euler_gravity(x,
t,
equations)) ==
RealT
for direction in directions
@test eltype(@inferred boundary_condition_poisson_nonperiodic(u_inner,
orientation,
direction,
x, t,
surface_flux_function,
equations)) ==
RealT
end
@test eltype(@inferred flux(u, orientation, equations)) == RealT
@test typeof(@inferred max_abs_speed_naive(u_ll, u_rr, orientation,
equations)) == RealT
@test eltype(@inferred Trixi.max_abs_speeds(equations)) == RealT
@test eltype(@inferred cons2prim(u, equations)) == RealT
@test eltype(@inferred cons2entropy(u, equations)) == RealT