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comparison test/SbpOperators/volumeops/volume_operator_test.jl @ 769:0158c3fd521c operator_storage_array_of_table

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Merge in default
author Jonatan Werpers <jonatan@werpers.com>
date Thu, 15 Jul 2021 00:06:16 +0200
parents 80d88bb1c5bd
children e7176fb09e98 469ed954b493
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768:7c87a33963c5 769:0158c3fd521c
1 using Test
2
3 using Sbplib.SbpOperators
4 using Sbplib.Grids
5 using Sbplib.RegionIndices
6 using Sbplib.LazyTensors
7
8 import Sbplib.SbpOperators.Stencil
9 import Sbplib.SbpOperators.VolumeOperator
10 import Sbplib.SbpOperators.volume_operator
11 import Sbplib.SbpOperators.odd
12 import Sbplib.SbpOperators.even
13
14 @testset "VolumeOperator" begin
15 inner_stencil = CenteredStencil(1/4, 2/4, 1/4)
16 closure_stencils = (Stencil(1/2, 1/2; center=1), Stencil(0.,1.; center=2))
17 g_1D = EquidistantGrid(11,0.,1.)
18 g_2D = EquidistantGrid((11,12),(0.,0.),(1.,1.))
19 g_3D = EquidistantGrid((11,12,10),(0.,0.,0.),(1.,1.,1.))
20 @testset "Constructors" begin
21 @testset "1D" begin
22 op = VolumeOperator(inner_stencil,closure_stencils,(11,),even)
23 @test op == VolumeOperator(g_1D,inner_stencil,closure_stencils,even)
24 @test op == volume_operator(g_1D,inner_stencil,closure_stencils,even,1)
25 @test op isa TensorMapping{T,1,1} where T
26 end
27 @testset "2D" begin
28 op_x = volume_operator(g_2D,inner_stencil,closure_stencils,even,1)
29 op_y = volume_operator(g_2D,inner_stencil,closure_stencils,even,2)
30 Ix = IdentityMapping{Float64}((11,))
31 Iy = IdentityMapping{Float64}((12,))
32 @test op_x == VolumeOperator(inner_stencil,closure_stencils,(11,),even)⊗Iy
33 @test op_y == Ix⊗VolumeOperator(inner_stencil,closure_stencils,(12,),even)
34 @test op_x isa TensorMapping{T,2,2} where T
35 @test op_y isa TensorMapping{T,2,2} where T
36 end
37 @testset "3D" begin
38 op_x = volume_operator(g_3D,inner_stencil,closure_stencils,even,1)
39 op_y = volume_operator(g_3D,inner_stencil,closure_stencils,even,2)
40 op_z = volume_operator(g_3D,inner_stencil,closure_stencils,even,3)
41 Ix = IdentityMapping{Float64}((11,))
42 Iy = IdentityMapping{Float64}((12,))
43 Iz = IdentityMapping{Float64}((10,))
44 @test op_x == VolumeOperator(inner_stencil,closure_stencils,(11,),even)⊗Iy⊗Iz
45 @test op_y == Ix⊗VolumeOperator(inner_stencil,closure_stencils,(12,),even)⊗Iz
46 @test op_z == Ix⊗Iy⊗VolumeOperator(inner_stencil,closure_stencils,(10,),even)
47 @test op_x isa TensorMapping{T,3,3} where T
48 @test op_y isa TensorMapping{T,3,3} where T
49 @test op_z isa TensorMapping{T,3,3} where T
50 end
51 end
52
53 @testset "Sizes" begin
54 @testset "1D" begin
55 op = volume_operator(g_1D,inner_stencil,closure_stencils,even,1)
56 @test range_size(op) == domain_size(op) == size(g_1D)
57 end
58
59 @testset "2D" begin
60 op_x = volume_operator(g_2D,inner_stencil,closure_stencils,even,1)
61 op_y = volume_operator(g_2D,inner_stencil,closure_stencils,even,2)
62 @test range_size(op_y) == domain_size(op_y) ==
63 range_size(op_x) == domain_size(op_x) == size(g_2D)
64 end
65 @testset "3D" begin
66 op_x = volume_operator(g_3D,inner_stencil,closure_stencils,even,1)
67 op_y = volume_operator(g_3D,inner_stencil,closure_stencils,even,2)
68 op_z = volume_operator(g_3D,inner_stencil,closure_stencils,even,3)
69 @test range_size(op_z) == domain_size(op_z) ==
70 range_size(op_y) == domain_size(op_y) ==
71 range_size(op_x) == domain_size(op_x) == size(g_3D)
72 end
73 end
74
75 op_x = volume_operator(g_2D,inner_stencil,closure_stencils,even,1)
76 op_y = volume_operator(g_2D,inner_stencil,closure_stencils,odd,2)
77 v = zeros(size(g_2D))
78 Nx = size(g_2D)[1]
79 Ny = size(g_2D)[2]
80 for i = 1:Nx
81 v[i,:] .= i
82 end
83 rx = copy(v)
84 rx[1,:] .= 1.5
85 rx[Nx,:] .= (2*Nx-1)/2
86 ry = copy(v)
87 ry[:,Ny-1:Ny] = -v[:,Ny-1:Ny]
88
89 @testset "Application" begin
90 @test op_x*v ≈ rx rtol = 1e-14
91 @test op_y*v ≈ ry rtol = 1e-14
92 end
93
94 @testset "Regions" begin
95 @test (op_x*v)[Index(1,Lower),Index(3,Interior)] ≈ rx[1,3] rtol = 1e-14
96 @test (op_x*v)[Index(2,Lower),Index(3,Interior)] ≈ rx[2,3] rtol = 1e-14
97 @test (op_x*v)[Index(6,Interior),Index(3,Interior)] ≈ rx[6,3] rtol = 1e-14
98 @test (op_x*v)[Index(10,Upper),Index(3,Interior)] ≈ rx[10,3] rtol = 1e-14
99 @test (op_x*v)[Index(11,Upper),Index(3,Interior)] ≈ rx[11,3] rtol = 1e-14
100
101 @test_throws BoundsError (op_x*v)[Index(3,Lower),Index(3,Interior)]
102 @test_throws BoundsError (op_x*v)[Index(9,Upper),Index(3,Interior)]
103
104 @test (op_y*v)[Index(3,Interior),Index(1,Lower)] ≈ ry[3,1] rtol = 1e-14
105 @test (op_y*v)[Index(3,Interior),Index(2,Lower)] ≈ ry[3,2] rtol = 1e-14
106 @test (op_y*v)[Index(3,Interior),Index(6,Interior)] ≈ ry[3,6] rtol = 1e-14
107 @test (op_y*v)[Index(3,Interior),Index(11,Upper)] ≈ ry[3,11] rtol = 1e-14
108 @test (op_y*v)[Index(3,Interior),Index(12,Upper)] ≈ ry[3,12] rtol = 1e-14
109
110 @test_throws BoundsError (op_y*v)[Index(3,Interior),Index(10,Upper)]
111 @test_throws BoundsError (op_y*v)[Index(3,Interior),Index(3,Lower)]
112 end
113
114 @testset "Inferred" begin
115 @test_skip @inferred apply(op_x, v,1,1)
116 @inferred apply(op_x, v, Index(1,Lower),Index(1,Lower))
117 @inferred apply(op_x, v, Index(6,Interior),Index(1,Lower))
118 @inferred apply(op_x, v, Index(11,Upper),Index(1,Lower))
119 @test_skip @inferred apply(op_y, v,1,1)
120 @inferred apply(op_y, v, Index(1,Lower),Index(1,Lower))
121 @inferred apply(op_y, v, Index(1,Lower),Index(6,Interior))
122 @inferred apply(op_y, v, Index(1,Lower),Index(11,Upper))
123 end
124 end