view test/SbpOperators/boundaryops/boundary_operator_test.jl @ 949:7168d28b03e3 feature/laplace_opset

Remove unnecessary parentheses
author Jonatan Werpers <jonatan@werpers.com>
date Mon, 14 Mar 2022 08:03:40 +0100
parents 47425442bbc5
children 775d5513da8f
line wrap: on
line source

using Test

using Sbplib.LazyTensors
using Sbplib.SbpOperators
using Sbplib.Grids
using Sbplib.RegionIndices
import Sbplib.SbpOperators.Stencil
import Sbplib.SbpOperators.BoundaryOperator
import Sbplib.SbpOperators.boundary_operator

@testset "BoundaryOperator" begin
    closure_stencil = Stencil((0,2), (2.,1.,3.))
    g_1D = EquidistantGrid(11, 0.0, 1.0)
    g_2D = EquidistantGrid((11,15), (0.0, 0.0), (1.0,1.0))

    @testset "Constructors" begin
        @testset "1D" begin
            op_l = BoundaryOperator{Lower}(closure_stencil,size(g_1D)[1])
            @test op_l == BoundaryOperator(g_1D,closure_stencil,Lower())
            @test op_l == boundary_operator(g_1D,closure_stencil,CartesianBoundary{1,Lower}())
            @test op_l isa TensorMapping{T,0,1} where T

            op_r = BoundaryOperator{Upper}(closure_stencil,size(g_1D)[1])
            @test op_r == BoundaryOperator(g_1D,closure_stencil,Upper())
            @test op_r == boundary_operator(g_1D,closure_stencil,CartesianBoundary{1,Upper}())
            @test op_r isa TensorMapping{T,0,1} where T
        end

        @testset "2D" begin
            e_w = boundary_operator(g_2D,closure_stencil,CartesianBoundary{1,Upper}())
            @test e_w isa InflatedTensorMapping
            @test e_w isa TensorMapping{T,1,2} where T
        end
    end
    op_l, op_r = map(id -> boundary_operator(g_1D, closure_stencil, id), boundary_identifiers(g_1D))
    op_w, op_e, op_s, op_n = map(id -> boundary_operator(g_2D, closure_stencil, id), boundary_identifiers(g_2D))

    @testset "Sizes" begin
        @testset "1D" begin
            @test domain_size(op_l) == (11,)
            @test domain_size(op_r) == (11,)

            @test range_size(op_l) == ()
            @test range_size(op_r) == ()
        end

        @testset "2D" begin
            @test domain_size(op_w) == (11,15)
            @test domain_size(op_e) == (11,15)
            @test domain_size(op_s) == (11,15)
            @test domain_size(op_n) == (11,15)

            @test range_size(op_w) == (15,)
            @test range_size(op_e) == (15,)
            @test range_size(op_s) == (11,)
            @test range_size(op_n) == (11,)
        end
    end

    @testset "Application" begin
        @testset "1D" begin
            v = evalOn(g_1D,x->1+x^2)
            u = fill(3.124)
            @test (op_l*v)[] == 2*v[1] + v[2] + 3*v[3]
            @test (op_r*v)[] == 2*v[end] + v[end-1] + 3*v[end-2]
            @test (op_r*v)[1] == 2*v[end] + v[end-1] + 3*v[end-2]
            @test op_l'*u == [2*u[]; u[]; 3*u[]; zeros(8)]
            @test op_r'*u == [zeros(8); 3*u[]; u[]; 2*u[]]
        end

        @testset "2D" begin
            v = rand(size(g_2D)...)
            u = fill(3.124)
            @test op_w*v ≈ 2*v[1,:] + v[2,:] + 3*v[3,:] rtol = 1e-14
            @test op_e*v ≈ 2*v[end,:] + v[end-1,:] + 3*v[end-2,:] rtol = 1e-14
            @test op_s*v ≈ 2*v[:,1] + v[:,2] + 3*v[:,3] rtol = 1e-14
            @test op_n*v ≈ 2*v[:,end] + v[:,end-1] + 3*v[:,end-2] rtol = 1e-14


            g_x = rand(size(g_2D)[1])
            g_y = rand(size(g_2D)[2])

            G_w = zeros(Float64, size(g_2D)...)
            G_w[1,:] = 2*g_y
            G_w[2,:] = g_y
            G_w[3,:] = 3*g_y

            G_e = zeros(Float64, size(g_2D)...)
            G_e[end,:] = 2*g_y
            G_e[end-1,:] = g_y
            G_e[end-2,:] = 3*g_y

            G_s = zeros(Float64, size(g_2D)...)
            G_s[:,1] = 2*g_x
            G_s[:,2] = g_x
            G_s[:,3] = 3*g_x

            G_n = zeros(Float64, size(g_2D)...)
            G_n[:,end] = 2*g_x
            G_n[:,end-1] = g_x
            G_n[:,end-2] = 3*g_x

            @test op_w'*g_y == G_w
            @test op_e'*g_y == G_e
            @test op_s'*g_x == G_s
            @test op_n'*g_x == G_n
       end

       @testset "Regions" begin
            u = fill(3.124)
            @test (op_l'*u)[Index(1,Lower)] == 2*u[]
            @test (op_l'*u)[Index(2,Lower)] == u[]
            @test (op_l'*u)[Index(6,Interior)] == 0
            @test (op_l'*u)[Index(10,Upper)] == 0
            @test (op_l'*u)[Index(11,Upper)] == 0

            @test (op_r'*u)[Index(1,Lower)] == 0
            @test (op_r'*u)[Index(2,Lower)] == 0
            @test (op_r'*u)[Index(6,Interior)] == 0
            @test (op_r'*u)[Index(10,Upper)] == u[]
            @test (op_r'*u)[Index(11,Upper)] == 2*u[]
       end
    end

    @testset "Inferred" begin
        v = ones(Float64, 11)
        u = fill(1.)

        @inferred apply(op_l, v)
        @inferred apply(op_r, v)

        @inferred apply_transpose(op_l, u, 4)
        @inferred apply_transpose(op_l, u, Index(1,Lower))
        @inferred apply_transpose(op_l, u, Index(2,Lower))
        @inferred apply_transpose(op_l, u, Index(6,Interior))
        @inferred apply_transpose(op_l, u, Index(10,Upper))
        @inferred apply_transpose(op_l, u, Index(11,Upper))

        @inferred apply_transpose(op_r, u, 4)
        @inferred apply_transpose(op_r, u, Index(1,Lower))
        @inferred apply_transpose(op_r, u, Index(2,Lower))
        @inferred apply_transpose(op_r, u, Index(6,Interior))
        @inferred apply_transpose(op_r, u, Index(10,Upper))
        @inferred apply_transpose(op_r, u, Index(11,Upper))
    end
end