Merge pull request #1 from trixi-framework/main

Add numerical support of other real types (`laplace`) (trixi-framework#2025)
tristanmontoya · Aug 20, 2024 · 3eb3c31 · 3eb3c31
2 parents e85fa7e + 1c1d5ea
commit 3eb3c31
Showing 1 changed file with 63 additions and 0 deletions.
diff --git a/test/test_type.jl b/test/test_type.jl
@@ -1459,6 +1459,69 @@ isdir(outdir) && rm(outdir, recursive = true)
         end
     end
 
+    @timed_testset "Laplace Diffusion 1D" begin
+        for RealT in (Float32, Float64)
+            equations = @inferred LinearScalarAdvectionEquation1D(RealT(1))
+            equations_parabolic = @inferred LaplaceDiffusion1D(RealT(0.1), equations)
+
+            x = SVector(zero(RealT))
+            t = zero(RealT)
+            u = gradients = SVector(one(RealT))
+            orientation = 1
+
+            @test eltype(@inferred flux(u, gradients, orientation, equations_parabolic)) ==
+                  RealT
+
+            # TODO: BC tests for BoundaryConditionDirichlet
+            # TODO: BC tests for BoundaryConditionNeumann
+        end
+    end
+
+    @timed_testset "Laplace Diffusion 2D" begin
+        for RealT in (Float32, Float64)
+            equations = LinearScalarAdvectionEquation2D(RealT(1), RealT(1))
+            equations_parabolic = LaplaceDiffusion2D(RealT(0.1), equations)
+
+            x = SVector(zero(RealT), zero(RealT))
+            t = zero(RealT)
+            u = u_inner = u_outer = inv_h = gradients = SVector(one(RealT), one(RealT))
+            orientations = [1, 2]
+
+            for orientation in orientations
+                @test eltype(@inferred flux(u, gradients, orientation, equations_parabolic)) ==
+                      RealT
+            end
+
+            parabolic_solver = ViscousFormulationLocalDG(RealT(0.1))
+            @test eltype(@inferred Trixi.penalty(u_outer, u_inner, inv_h,
+                                                 equations_parabolic, parabolic_solver)) ==
+                  RealT
+        end
+    end
+
+    @timed_testset "Laplace Diffusion 3D" begin
+        for RealT in (Float32, Float64)
+            equations = LinearScalarAdvectionEquation3D(RealT(1), RealT(1), RealT(1))
+            equations_parabolic = LaplaceDiffusion3D(RealT(0.1), equations)
+
+            x = SVector(zero(RealT), zero(RealT), zero(RealT))
+            t = zero(RealT)
+            u = u_inner = u_outer = inv_h = gradients = SVector(one(RealT), one(RealT),
+                                                                one(RealT))
+            orientations = [1, 2, 3]
+
+            for orientation in orientations
+                @test eltype(@inferred flux(u, gradients, orientation, equations_parabolic)) ==
+                      RealT
+            end
+
+            parabolic_solver = ViscousFormulationLocalDG(RealT(0.1))
+            @test eltype(@inferred Trixi.penalty(u_outer, u_inner, inv_h,
+                                                 equations_parabolic, parabolic_solver)) ==
+                  RealT
+        end
+    end
+
     @timed_testset "Lattice Boltzmann 2D" begin
         for RealT in (Float32, Float64)
             equations = @inferred LatticeBoltzmannEquations2D(Ma = RealT(0.1), Re = 1000)