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annotate test/Grids/mapped_grid_test.jl @ 1690:5eabe1f560f0 feature/grids/curvilinear

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Reorganize nesting of tests for mapped_grid
author Jonatan Werpers <jonatan@werpers.com>
date Fri, 23 Aug 2024 09:45:02 +0200
parents e11b5b6940a2
children 5bf4a35a78c5
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1 using Sbplib.Grids
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2 using Sbplib.RegionIndices
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3 using Test
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4 using StaticArrays
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5 using LinearAlgebra
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6
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7 @testset "MappedGrid" begin
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8 lg = equidistant_grid((0,0), (1,1), 11, 11) # TODO: Change dims of the grid to be different
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9 x̄ = map(ξ̄ -> 2ξ̄, lg)
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10 J = map(ξ̄ -> @SArray(fill(2., 2, 2)), lg)
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11 mg = MappedGrid(lg, x̄, J)
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12
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13 # TODO: Test constructor for different dims of range and domain for the coordinates
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14 # TODO: Test constructor with different type than TensorGrid. a dummy type?
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15
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16 @test_broken false # @test_throws ArgumentError("Sizes must match") MappedGrid(lg, map(ξ̄ -> @SArray[ξ̄[1], ξ̄[2], -ξ̄[1]], lg), rand(SMatrix{2,3,Float64},15,11))
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17
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18
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19 @test mg isa Grid{SVector{2, Float64},2}
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20
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21 @test jacobian(mg) isa Array{<:AbstractMatrix}
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22 @test logicalgrid(mg) isa Grid
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23
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24 @testset "Indexing Interface" begin
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25 mg = MappedGrid(lg, x̄, J)
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26 @test mg[1,1] == [0.0, 0.0]
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27 @test mg[4,2] == [0.6, 0.2]
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28 @test mg[6,10] == [1., 1.8]
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29
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30 @test mg[begin, begin] == [0.0, 0.0]
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31 @test mg[end,end] == [2.0, 2.0]
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32 @test mg[begin,end] == [0., 2.]
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33
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34 @test eachindex(mg) == CartesianIndices((11,11))
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35
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36 @testset "cartesian indexing" begin
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37 cases = [
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38 (1,1) ,
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39 (3,5) ,
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40 (10,6),
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41 (1,1) ,
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42 (3,2) ,
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43 ]
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44
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45 @testset "i = $is" for (lg, is) ∈ cases
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46 @test mg[CartesianIndex(is...)] == mg[is...]
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47 end
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48 end
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49
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50 @testset "eachindex" begin
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51 @test eachindex(mg) == CartesianIndices((11,11))
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52 end
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53
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54 @testset "firstindex" begin
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55 @test firstindex(mg, 1) == 1
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56 @test firstindex(mg, 2) == 1
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57 end
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58
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59 @testset "lastindex" begin
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60 @test lastindex(mg, 1) == 11
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61 @test lastindex(mg, 2) == 11
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62 end
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63 end
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64 # TODO: Test with different types of logical grids
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65
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66 @testset "Iterator interface" begin
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67 sg = MappedGrid(
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68 equidistant_grid((0,0), (1,1), 15, 11),
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69 map(ξ̄ -> @SArray[ξ̄[1], ξ̄[2], -ξ̄[1]], lg), rand(SMatrix{2,3,Float64},15,11)
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70 )
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71
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72 @test eltype(mg) == SVector{2,Float64}
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73 @test eltype(sg) == SVector{3,Float64}
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74
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75 @test eltype(typeof(mg)) == SVector{2,Float64}
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76 @test eltype(typeof(sg)) == SVector{3,Float64}
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77
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78 @test size(mg) == (11,11)
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79 @test size(sg) == (15,11)
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80
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81 @test size(mg,2) == 11
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82 @test size(sg,2) == 11
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83
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84 @test length(mg) == 121
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85 @test length(sg) == 165
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86
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87 @test Base.IteratorSize(mg) == Base.HasShape{2}()
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88 @test Base.IteratorSize(typeof(mg)) == Base.HasShape{2}()
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89
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90 @test Base.IteratorSize(sg) == Base.HasShape{2}()
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91 @test Base.IteratorSize(typeof(sg)) == Base.HasShape{2}()
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92
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93 element, state = iterate(mg)
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94 @test element == lg[1,1].*2
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95 element, _ = iterate(mg, state)
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96 @test element == lg[2,1].*2
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97
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98 element, state = iterate(sg)
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99 @test element == sg.physicalcoordinates[1,1]
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100 element, _ = iterate(sg, state)
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101 @test element == sg.physicalcoordinates[2,1]
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102
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103 @test collect(mg) == 2 .* lg
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104 end
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105
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106 @testset "Base" begin
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107 @test ndims(mg) == 2
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108 end
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109
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110 @testset "boundary_identifiers" begin
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111 @test boundary_identifiers(mg) == boundary_identifiers(lg)
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112 end
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113
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114 @testset "boundary_indices" begin
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115 @test boundary_indices(mg, CartesianBoundary{1,Lower}()) == boundary_indices(lg,CartesianBoundary{1,Lower}())
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116 @test boundary_indices(mg, CartesianBoundary{2,Lower}()) == boundary_indices(lg,CartesianBoundary{2,Lower}())
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117 @test boundary_indices(mg, CartesianBoundary{1,Upper}()) == boundary_indices(lg,CartesianBoundary{1,Upper}())
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118 end
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119
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120 @testset "boundary_grid" begin
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121 x̄((ξ, η)) = @SVector[ξ, η*(1+ξ*(ξ-1))]
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122 J((ξ, η)) = @SMatrix[
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123 1 0;
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124 η*(2ξ-1) 1+ξ*(ξ-1);
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125 ]
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126
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127 mg = mapped_grid(x̄, J, 10, 11)
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128 J1((ξ, η)) = @SMatrix[
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129 1 ;
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130 η*(2ξ-1);
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131 ]
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132 J2((ξ, η)) = @SMatrix[
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133 0;
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134 1+ξ*(ξ-1);
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135 ]
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136
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137 function test_boundary_grid(mg, bId, Jb)
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138 bg = boundary_grid(mg, bId)
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139
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140 lg = logicalgrid(mg)
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141 expected_bg = MappedGrid(
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142 boundary_grid(lg, bId),
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143 map(x̄, boundary_grid(lg, bId)),
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144 map(Jb, boundary_grid(lg, bId)),
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145 )
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146
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147 @testset let bId=bId, bg=bg, expected_bg=expected_bg
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148 @test collect(bg) == collect(expected_bg)
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149 @test logicalgrid(bg) == logicalgrid(expected_bg)
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150 @test jacobian(bg) == jacobian(expected_bg)
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151 # TODO: Implement equality of a curvilinear grid and simlify the above
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152 end
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153 end
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154
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155 @testset test_boundary_grid(mg, TensorGridBoundary{1, Lower}(), J2)
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156 @testset test_boundary_grid(mg, TensorGridBoundary{1, Upper}(), J2)
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157 @testset test_boundary_grid(mg, TensorGridBoundary{2, Lower}(), J1)
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158 @testset test_boundary_grid(mg, TensorGridBoundary{2, Upper}(), J1)
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159 end
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160 end
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161
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162 @testset "mapped_grid" begin
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163 x̄((ξ, η)) = @SVector[ξ, η*(1+ξ*(ξ-1))]
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164 J((ξ, η)) = @SMatrix[
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165 1 0;
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166 η*(2ξ-1) 1+ξ*(ξ-1);
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167 ]
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168 mg = mapped_grid(x̄, J, 10, 11)
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169 @test mg isa MappedGrid{SVector{2,Float64}, 2}
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170
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171 lg = equidistant_grid((0,0), (1,1), 10, 11)
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172 @test logicalgrid(mg) == lg
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173 @test collect(mg) == map(x̄, lg)
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174 end
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175
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176 @testset "jacobian_determinant" begin
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177 @test_broken false
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178 end
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179
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180 @testset "metric_tensor" begin
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181 @test_broken false
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182 end
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183
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184 @testset "metric_tensor_inverse" begin
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185 @test_broken false
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186 end
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187
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188 @testset "min_spacing" begin
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189 let g = mapped_grid(identity, x->@SMatrix[1], 11)
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190 @test min_spacing(g) ≈ 0.1
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191 end
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192
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193 let g = mapped_grid(x->x+x.^2/2, x->@SMatrix[1 .+ x], 11)
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194 @test min_spacing(g) ≈ 0.105
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195 end
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196
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197 let g = mapped_grid(x->x + x.*(1 .- x)/2, x->@SMatrix[1.5 .- x], 11)
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198 @test min_spacing(g) ≈ 0.055
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199 end
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200
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201 let g = mapped_grid(identity, x->@SMatrix[1 0; 0 1], 11,11)
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202 @test min_spacing(g) ≈ 0.1
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203 end
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204
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205 let g = mapped_grid(identity, x->@SMatrix[1 0; 0 1], 11,21)
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206 @test min_spacing(g) ≈ 0.05
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207 end
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208
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209 skew_grid(a,b, sz...) = mapped_grid(ξ̄->ξ̄[1]*a + ξ̄[2]*b, ξ̄->[a b], sz...)
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210
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211 @testset let a = @SVector[1,0], b = @SVector[1,1]/√2
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212 g = skew_grid(a,b,11,11)
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213
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214 @test min_spacing(g) ≈ 0.1*norm(b-a)
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215 end
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216
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217 @testset let a = @SVector[1,0], b = @SVector[-1,1]/√2
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218 g = skew_grid(a,b,11,11)
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219
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220 @test min_spacing(g) ≈ 0.1*norm(a+b)
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221 end
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222 end
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223
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224 @testset "normal" begin
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225 x̄((ξ, η)) = @SVector[ξ, η*(1+ξ*(ξ-1))]
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226 J((ξ, η)) = @SMatrix[
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227 1 0;
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228 η*(2ξ-1) 1+ξ*(ξ-1);
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229 ]
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230 g = mapped_grid(x̄, J, 10, 11)
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231
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232 @test normal(g, CartesianBoundary{1,Lower}()) == fill(@SVector[-1,0], 11)
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233 @test normal(g, CartesianBoundary{1,Upper}()) == fill(@SVector[1,0], 11)
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234 @test normal(g, CartesianBoundary{2,Lower}()) == fill(@SVector[0,-1], 10)
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235 @test normal(g, CartesianBoundary{2,Upper}()) ≈ map(boundary_grid(g,CartesianBoundary{2,Upper}())|>logicalgrid) do ξ̄
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236 α = 1-2ξ̄[1]
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237 @SVector[α,1]/√(α^2 + 1)
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238 end
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239
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240 x̄((ξ, η)) = @SVector[2ξ + η*(1-η), 3η+(1+η/2)*ξ^2]
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241 J((ξ, η)) = @SMatrix[
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242 2 1-2η;
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243 (2+η)*ξ 3+1/2*ξ^2;
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244 ]
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245
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246 g = mapped_grid(x̄,J,5,4)
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247
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248 unit(v) = v/norm(v)
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249 @testset let bId = CartesianBoundary{1,Lower}()
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250 lbg = boundary_grid(logicalgrid(g), bId)
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251 @test normal(g, bId) ≈ map(lbg) do (ξ, η)
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252 -unit(@SVector[1/2, η/3-1/6])
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253 end
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254 end
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255
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256 @testset let bId = CartesianBoundary{1,Upper}()
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257 lbg = boundary_grid(logicalgrid(g), bId)
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258 @test normal(g, bId) ≈ map(lbg) do (ξ, η)
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259 unit(@SVector[7/2, 2η-1]/(5 + 3η + 2η^2))
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260 end
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261 end
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262
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263 @testset let bId = CartesianBoundary{2,Lower}()
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264 lbg = boundary_grid(logicalgrid(g), bId)
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265 @test normal(g, bId) ≈ map(lbg) do (ξ, η)
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266 -unit(@SVector[-2ξ, 2]/(6 + ξ^2 - 2ξ))
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267 end
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268 end
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269
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270 @testset let bId = CartesianBoundary{2,Upper}()
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271 lbg = boundary_grid(logicalgrid(g), bId)
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272 @test normal(g, bId) ≈ map(lbg) do (ξ, η)
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273 unit(@SVector[-3ξ, 2]/(6 + ξ^2 + 3ξ))
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274 end
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275 end
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276 end