1 | #!/usr/bin/env python |
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2 | |
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3 | import unittest |
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4 | from math import sqrt, pi |
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5 | |
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6 | |
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7 | from sww_domain import * |
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8 | import sww_python |
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9 | |
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10 | |
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11 | import numpy |
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12 | |
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13 | |
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14 | class Test_Shallow_Water(unittest.TestCase): |
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15 | def setUp(self): |
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16 | self.points = [0.0, 1.0, 2.0, 3.0] |
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17 | self.vertex_values = [[1.0,2.0],[4.0,5.0],[-1.0,2.0]] |
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18 | self.points2 = [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0] |
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19 | |
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20 | def tearDown(self): |
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21 | pass |
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22 | #print " Tearing down" |
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23 | |
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24 | |
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25 | def test_creation(self): |
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26 | domain = Domain(self.points) |
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27 | assert numpy.allclose(domain.centroids, [0.5, 1.5, 2.5]) |
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28 | |
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29 | def test_compute_fluxes(self): |
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30 | """ |
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31 | Compare shallow_water_domain flux calculation against a previous |
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32 | Python implementation (defined in this file) |
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33 | """ |
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34 | domain = Domain(self.points) |
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35 | domain.set_quantity('stage',2.0) |
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36 | domain.set_boundary({'exterior' : Reflective_boundary(domain)}) |
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37 | |
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38 | stage_ud, xmom_ud = sww_python.compute_fluxes(domain) |
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39 | |
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40 | domain.distribute_to_vertices_and_edges() |
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41 | domain.compute_fluxes() |
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42 | |
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43 | print domain.quantities['stage'].explicit_update |
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44 | print domain.quantities['xmomentum'].explicit_update |
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45 | print stage_ud |
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46 | print xmom_ud |
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47 | |
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48 | assert numpy.allclose( domain.quantities['stage'].explicit_update, stage_ud ) |
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49 | assert numpy.allclose( domain.quantities['xmomentum'].explicit_update, xmom_ud ) |
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50 | |
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51 | |
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52 | def test_local_flux_function(self): |
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53 | normal = 1.0 |
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54 | ql = numpy.array([1.0, 2.0],numpy.float) |
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55 | qr = numpy.array([1.0, 2.0],numpy.float) |
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56 | zl = 0.0 |
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57 | zr = 0.0 |
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58 | |
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59 | #This assumes h0 = 1.0e-3!! |
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60 | edgeflux, maxspeed = local_flux_function(normal, ql,qr,zl,zr) |
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61 | #print maxspeed |
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62 | #print edgeflux |
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63 | |
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64 | assert numpy.allclose([2.0, 8.9], edgeflux, rtol=1.0e-005) |
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65 | assert numpy.allclose(5.1305, maxspeed, rtol=1.0e-005) |
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66 | |
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67 | normal = -1.0 |
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68 | ql = numpy.array([1.0, 2.0],numpy.float) |
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69 | qr = numpy.array([1.0, 2.0],numpy.float) |
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70 | zl = 0.0 |
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71 | zr = 0.0 |
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72 | |
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73 | edgeflux, maxspeed = local_flux_function(normal, ql,qr,zl,zr) |
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74 | |
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75 | |
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76 | #print maxspeed |
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77 | #print edgeflux |
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78 | |
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79 | assert numpy.allclose([-2.0, -8.9], edgeflux, rtol=1.0e-005) |
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80 | assert numpy.allclose(5.1305, maxspeed, rtol=1.0e-005) |
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81 | |
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82 | |
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83 | |
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84 | def test_gravity(self): |
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85 | """ |
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86 | Compare shallow_water_domain gravity calculation |
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87 | """ |
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88 | |
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89 | def slope_one(x): |
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90 | return x |
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91 | |
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92 | domain = Domain(self.points) |
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93 | domain.set_quantity('stage',4.0) |
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94 | domain.set_quantity('elevation',slope_one) |
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95 | domain.set_boundary({'exterior' : Reflective_boundary(domain)}) |
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96 | |
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97 | gravity(domain) |
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98 | |
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99 | #print domain.quantities['stage'].vertex_values |
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100 | #print domain.quantities['elevation'].vertex_values |
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101 | #print domain.quantities['xmomentum'].explicit_update |
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102 | |
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103 | assert numpy.allclose( [-34.3, -24.5, -14.7], domain.quantities['xmomentum'].explicit_update ) |
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104 | |
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105 | |
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106 | def xtest_evolve_first_order(self): |
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107 | """ |
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108 | Compare still lake solution for various versions of shallow_water_domain |
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109 | """ |
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110 | |
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111 | def slope_square(x): |
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112 | return numpy.maximum(4.0-(x-5.0)*(x-5.0), 0.0) |
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113 | |
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114 | domain = Domain(self.points2) |
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115 | domain.set_quantity('stage',10.0) |
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116 | domain.set_quantity('elevation',slope_square) |
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117 | domain.set_boundary({'exterior' : Reflective_boundary(domain)}) |
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118 | |
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119 | domain.default_order = 1 |
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120 | domain.set_timestepping_method('euler') |
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121 | |
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122 | yieldstep=1.0 |
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123 | finaltime=1.0 |
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124 | |
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125 | for t in domain.evolve(yieldstep=yieldstep, finaltime=finaltime): |
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126 | #pass |
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127 | |
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128 | print domain.quantities['stage'].vertex_values |
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129 | print domain.quantities['elevation'].vertex_values |
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130 | print domain.quantities['xmomentum'].vertex_values |
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131 | |
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132 | |
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133 | print domain.quantities['stage'].centroid_values |
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134 | print domain.quantities['elevation'].centroid_values |
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135 | print domain.quantities['xmomentum'].centroid_values |
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136 | |
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137 | assert numpy.allclose( 10.0*numpy.ones(10), domain.quantities['stage'].centroid_values ) |
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138 | assert numpy.allclose( numpy.zeros(10), domain.quantities['xmomentum'].centroid_values ) |
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139 | |
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140 | |
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141 | def xtest_evolve_euler_second_order_space(self): |
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142 | """ |
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143 | Compare still lake solution for various versions of shallow_water_domain |
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144 | """ |
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145 | |
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146 | def slope_square(x): |
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147 | return numpy.maximum(4.0-(x-5.0)*(x-5.0), 0.0) |
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148 | |
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149 | domain = Domain(self.points2) |
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150 | domain.set_quantity('stage',10.0) |
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151 | domain.set_quantity('elevation',slope_square) |
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152 | domain.set_boundary({'exterior' : Reflective_boundary(domain)}) |
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153 | |
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154 | domain.default_order = 2 |
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155 | domain.set_timestepping_method('rk2') |
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156 | yieldstep=1.0 |
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157 | finaltime=1.0 |
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158 | |
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159 | for t in domain.evolve(yieldstep=yieldstep, finaltime=finaltime): |
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160 | pass |
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161 | |
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162 | assert numpy.allclose( 10.0*ones(10), domain.quantities['stage'].centroid_values ) |
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163 | assert numpy.allclose( zeros(10), domain.quantities['xmomentum'].centroid_values ) |
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164 | |
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165 | def xtest_evolve_second_order_space_time(self): |
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166 | """ |
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167 | Compare still lake solution for various versions of shallow_water_domain |
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168 | """ |
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169 | |
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170 | def slope_square(x): |
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171 | return numpy.maximum(4.0-(x-5.0)*(x-5.0), 0.0) |
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172 | |
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173 | domain = Domain(self.points2) |
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174 | domain.set_quantity('stage',10.0) |
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175 | domain.set_quantity('elevation',slope_square) |
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176 | domain.set_boundary({'exterior' : Reflective_boundary(domain)}) |
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177 | |
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178 | domain.default_order = 2 |
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179 | domain.set_timestepping_method('rk3') |
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180 | |
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181 | yieldstep=1.0 |
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182 | finaltime=1.0 |
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183 | |
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184 | for t in domain.evolve(yieldstep=yieldstep, finaltime=finaltime): |
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185 | pass |
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186 | |
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187 | assert numpy.allclose( 10.0*ones(10), domain.quantities['stage'].centroid_values ) |
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188 | assert numpy.allclose( zeros(10), domain.quantities['xmomentum'].centroid_values ) |
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189 | |
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190 | |
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191 | |
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192 | #============================================================================== |
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193 | |
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194 | def local_compute_fluxes(domain): |
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195 | """Compute all fluxes and the timestep suitable for all volumes |
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196 | in domain. |
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197 | |
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198 | Compute total flux for each conserved quantity using "flux_function" |
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199 | |
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200 | Fluxes across each edge are scaled by edgelengths and summed up |
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201 | Resulting flux is then scaled by area and stored in |
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202 | explicit_update for each of the three conserved quantities |
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203 | stage, xmomentum and ymomentum |
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204 | |
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205 | The maximal allowable speed computed by the flux_function for each volume |
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206 | is converted to a timestep that must not be exceeded. The minimum of |
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207 | those is computed as the next overall timestep. |
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208 | |
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209 | Post conditions: |
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210 | domain.explicit_update is reset to computed flux values |
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211 | domain.timestep is set to the largest step satisfying all volumes. |
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212 | """ |
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213 | |
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214 | import sys |
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215 | from Numeric import zeros, Float |
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216 | |
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217 | N = domain.number_of_elements |
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218 | |
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219 | tmp0 = zeros(N,Float) |
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220 | tmp1 = zeros(N,Float) |
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221 | |
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222 | #Shortcuts |
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223 | Stage = domain.quantities['stage'] |
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224 | Xmom = domain.quantities['xmomentum'] |
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225 | # Ymom = domain.quantities['ymomentum'] |
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226 | Bed = domain.quantities['elevation'] |
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227 | |
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228 | #Arrays |
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229 | #stage = Stage.edge_values |
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230 | #xmom = Xmom.edge_values |
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231 | # ymom = Ymom.edge_values |
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232 | #bed = Bed.edge_values |
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233 | |
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234 | stage = Stage.vertex_values |
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235 | xmom = Xmom.vertex_values |
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236 | bed = Bed.vertex_values |
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237 | |
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238 | #print 'stage edge values', stage |
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239 | #print 'xmom edge values', xmom |
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240 | #print 'bed values', bed |
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241 | |
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242 | stage_bdry = Stage.boundary_values |
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243 | xmom_bdry = Xmom.boundary_values |
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244 | #print 'stage_bdry',stage_bdry |
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245 | #print 'xmom_bdry', xmom_bdry |
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246 | # ymom_bdry = Ymom.boundary_values |
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247 | |
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248 | # flux = zeros(3, Float) #Work numpy.array for summing up fluxes |
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249 | flux = zeros(2, Float) #Work numpy.array for summing up fluxes |
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250 | ql = zeros(2, Float) |
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251 | qr = zeros(2, Float) |
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252 | |
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253 | #Loop |
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254 | timestep = float(sys.maxint) |
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255 | enter = True |
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256 | for k in range(N): |
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257 | |
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258 | flux[:] = 0. #Reset work numpy.array |
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259 | #for i in range(3): |
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260 | for i in range(2): |
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261 | #Quantities inside volume facing neighbour i |
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262 | #ql[0] = stage[k, i] |
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263 | #ql[1] = xmom[k, i] |
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264 | ql = [stage[k, i], xmom[k, i]] |
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265 | zl = bed[k, i] |
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266 | |
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267 | #Quantities at neighbour on nearest face |
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268 | n = domain.neighbours[k,i] |
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269 | if n < 0: |
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270 | m = -n-1 #Convert negative flag to index |
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271 | qr[0] = stage_bdry[m] |
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272 | qr[1] = xmom_bdry[m] |
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273 | zr = zl #Extend bed elevation to boundary |
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274 | else: |
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275 | #m = domain.neighbour_edges[k,i] |
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276 | m = domain.neighbour_vertices[k,i] |
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277 | #print i, ' ' , m |
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278 | #qr = [stage[n, m], xmom[n, m], ymom[n, m]] |
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279 | qr[0] = stage[n, m] |
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280 | qr[1] = xmom[n, m] |
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281 | zr = bed[n, m] |
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282 | |
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283 | |
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284 | #Outward pointing normal vector |
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285 | normal = domain.normals[k, i] |
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286 | |
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287 | #Flux computation using provided function |
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288 | #edgeflux, max_speed = flux_function(normal, ql, qr, zl, zr) |
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289 | #print 'ql',ql |
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290 | #print 'qr',qr |
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291 | |
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292 | |
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293 | edgeflux, max_speed = flux_function(normal, ql, qr, zl, zr) |
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294 | |
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295 | #print 'edgeflux', edgeflux |
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296 | |
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297 | # THIS IS THE LINE TO DEAL WITH LEFT AND RIGHT FLUXES |
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298 | # flux = edgefluxleft - edgefluxright |
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299 | flux -= edgeflux #* domain.edgelengths[k,i] |
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300 | #Update optimal_timestep |
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301 | try: |
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302 | #timestep = min(timestep, 0.5*domain.radii[k]/max_speed) |
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303 | timestep = min(timestep, domain.CFL*0.5*domain.areas[k]/max_speed) |
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304 | except ZeroDivisionError: |
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305 | pass |
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306 | |
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307 | #Normalise by area and store for when all conserved |
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308 | #quantities get updated |
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309 | flux /= domain.areas[k] |
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310 | |
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311 | #Stage.explicit_update[k] = flux[0] |
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312 | tmp0[k] = flux[0] |
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313 | tmp1[k] = flux[1] |
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314 | |
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315 | |
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316 | return tmp0, tmp1 |
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317 | |
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318 | |
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319 | def local_flux_function(normal, ql, qr, zl, zr): |
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320 | """Compute fluxes between volumes for the shallow water wave equation |
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321 | cast in terms of w = h+z using the 'central scheme' as described in |
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322 | |
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323 | Kurganov, Noelle, Petrova. 'Semidiscrete Central-Upwind Schemes For |
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324 | Hyperbolic Conservation Laws and Hamilton-Jacobi Equations'. |
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325 | Siam J. Sci. Comput. Vol. 23, No. 3, pp. 707-740. |
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326 | |
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327 | The implemented formula is given in equation (3.15) on page 714 |
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328 | |
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329 | Conserved quantities w, uh, are stored as elements 0 and 1 |
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330 | in the numerical vectors ql an qr. |
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331 | |
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332 | Bed elevations zl and zr. |
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333 | """ |
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334 | |
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335 | from config import g, epsilon, h0 |
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336 | from math import sqrt |
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337 | |
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338 | |
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339 | #print 'ql',ql |
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340 | |
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341 | #Align momentums with x-axis |
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342 | #q_left = rotate(ql, normal, direction = 1) |
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343 | #q_right = rotate(qr, normal, direction = 1) |
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344 | q_left = ql |
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345 | q_left[1] = q_left[1]*normal |
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346 | q_right = qr |
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347 | q_right[1] = q_right[1]*normal |
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348 | |
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349 | #z = (zl+zr)/2 #Take average of field values |
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350 | z = 0.5*(zl+zr) #Take average of field values |
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351 | |
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352 | w_left = q_left[0] #w=h+z |
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353 | h_left = w_left-z |
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354 | uh_left = q_left[1] |
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355 | |
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356 | if h_left < epsilon: |
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357 | u_left = 0.0 #Could have been negative |
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358 | h_left = 0.0 |
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359 | else: |
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360 | u_left = uh_left/(h_left + h0/h_left) |
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361 | |
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362 | |
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363 | uh_left = u_left*h_left |
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364 | |
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365 | w_right = q_right[0] #w=h+z |
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366 | h_right = w_right-z |
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367 | uh_right = q_right[1] |
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368 | |
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369 | |
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370 | if h_right < epsilon: |
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371 | u_right = 0.0 #Could have been negative |
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372 | h_right = 0.0 |
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373 | else: |
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374 | u_right = uh_right/(h_right + h0/h_right) |
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375 | |
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376 | uh_right = u_right*h_right |
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377 | |
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378 | #vh_left = q_left[2] |
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379 | #vh_right = q_right[2] |
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380 | |
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381 | #print h_right |
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382 | #print u_right |
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383 | #print h_left |
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384 | #print u_right |
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385 | |
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386 | soundspeed_left = sqrt(g*h_left) |
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387 | soundspeed_right = sqrt(g*h_right) |
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388 | |
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389 | #Maximal wave speed |
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390 | s_max = max(u_left+soundspeed_left, u_right+soundspeed_right, 0) |
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391 | |
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392 | #Minimal wave speed |
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393 | s_min = min(u_left-soundspeed_left, u_right-soundspeed_right, 0) |
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394 | |
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395 | #Flux computation |
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396 | |
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397 | #flux_left = numpy.array([u_left*h_left, |
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398 | # u_left*uh_left + 0.5*g*h_left**2]) |
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399 | #flux_right = numpy.array([u_right*h_right, |
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400 | # u_right*uh_right + 0.5*g*h_right**2]) |
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401 | flux_left = numpy.array([u_left*h_left, |
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402 | u_left*uh_left + 0.5*g*h_left*h_left]) |
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403 | flux_right = numpy.array([u_right*h_right, |
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404 | u_right*uh_right + 0.5*g*h_right*h_right]) |
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405 | |
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406 | denom = s_max-s_min |
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407 | if denom == 0.0: |
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408 | edgeflux = numpy.array([0.0, 0.0]) |
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409 | max_speed = 0.0 |
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410 | else: |
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411 | edgeflux = (s_max*flux_left - s_min*flux_right)/denom |
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412 | edgeflux += s_max*s_min*(q_right-q_left)/denom |
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413 | |
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414 | edgeflux[1] = edgeflux[1]*normal |
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415 | |
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416 | max_speed = max(abs(s_max), abs(s_min)) |
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417 | |
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418 | return edgeflux, max_speed |
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419 | |
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420 | |
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421 | #------------------------------------------------------------- |
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422 | if __name__ == "__main__": |
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423 | suite = unittest.makeSuite(Test_Shallow_Water, 'test') |
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424 | #suite = unittest.makeSuite(Test_Shallow_Water, 'test_evolve_first_order') |
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425 | |
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426 | |
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427 | runner = unittest.TextTestRunner() |
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428 | runner.run(suite) |
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