1 | """Verify that simulation produced by ANUGA compares to published |
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2 | validation timeseries ch5, ch7 and ch9 as well as the boundary timeseries. |
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3 | |
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4 | RMS norm is printed and plots are produced as png files. |
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5 | No plots are shown on screen. |
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6 | """ |
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7 | |
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8 | import Numeric as num |
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9 | from Scientific.IO.NetCDF import NetCDFFile |
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10 | |
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11 | from anuga.abstract_2d_finite_volumes.util import file_function |
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12 | from anuga.utilities.numerical_tools import\ |
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13 | ensure_numeric, cov, get_machine_precision |
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14 | |
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15 | import project |
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16 | import sys |
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17 | |
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18 | if sys.platform == 'win32': |
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19 | # Windows has a problem when this module is run through |
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20 | # os.system as done by validate_okushiri. |
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21 | # See https://datamining.anu.edu.au/anuga/ticket/235 |
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22 | |
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23 | # If you want to see the plots from this validation, |
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24 | # run this module by itself with this if clause removed. |
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25 | plotting = False |
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26 | |
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27 | else: |
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28 | try: |
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29 | from pylab import ion, hold, plot, title, legend |
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30 | from pylab import xlabel, ylabel, savefig |
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31 | hold(False) # Check if this command can be issued |
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32 | except: |
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33 | print 'Could not import pylab' |
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34 | plotting = False |
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35 | else: |
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36 | # Create plots as png files |
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37 | plotting = True |
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38 | |
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39 | |
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40 | #------------------------- |
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41 | # Basic data |
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42 | #------------------------- |
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43 | |
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44 | finaltime = 22.5 |
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45 | timestep = 0.05 |
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46 | |
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47 | gauge_locations = [[0.000, 1.696]] # Boundary gauge |
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48 | gauge_locations += [[4.521, 1.196], [4.521, 1.696], [4.521, 2.196]] #Ch 5-7-9 |
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49 | gauge_names = ['Boundary', 'ch5', 'ch7', 'ch9'] |
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50 | |
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51 | validation_data = {} |
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52 | for key in gauge_names: |
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53 | validation_data[key] = [] |
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54 | |
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55 | |
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56 | # Expected values |
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57 | expected_covariance = {'Boundary': 5.269569575007607815e-05, |
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58 | 'ch5': 1.166277999581819919e-04, |
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59 | 'ch7': 1.127136457890861503e-04, |
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60 | 'ch9': 1.250659477418482129e-04} |
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61 | |
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62 | expected_difference = {'Boundary': 8.350712673810733924e-04, |
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63 | 'ch5': 3.405426180525532483e-03, |
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64 | 'ch7': 2.852870417368218517e-03, |
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65 | 'ch9': 3.248778982037564891e-03} |
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66 | |
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67 | expected_maximum = {'Boundary': 1.611749508386188523e-02, |
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68 | 'ch5': 3.551308418158714147e-02, |
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69 | 'ch7': 3.858418457126511908e-02, |
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70 | 'ch9': 4.317962986578308127e-02} |
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71 | |
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72 | expected_minimum = {'Boundary': -1.164547474575844919e-02, |
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73 | 'ch5': -8.664439185502026408e-03, |
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74 | 'ch7': -2.726335488279797541e-03, |
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75 | 'ch9': -5.977581218447349659e-03} |
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76 | |
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77 | expected_argmax = {'Boundary': 1.255000000000000071e+01, |
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78 | 'ch5': 1.839999999999999858e+01, |
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79 | 'ch7': 1.700000000000000000e+01, |
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80 | 'ch9': 1.685000000000000142e+01} |
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81 | |
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82 | expected_argmin = {'Boundary': 2.064999999999999858e+01, |
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83 | 'ch5': 1.459999999999999964e+01, |
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84 | 'ch7': 1.230000000000000071e+01, |
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85 | 'ch9': 1.315000000000000036e+01} |
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86 | |
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87 | #------------------------- |
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88 | # Read validation dataa |
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89 | #------------------------- |
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90 | |
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91 | print 'Reading', project.boundary_filename |
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92 | fid = NetCDFFile(project.boundary_filename, 'r') |
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93 | input_time = fid.variables['time'][:] |
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94 | validation_data['Boundary'] = fid.variables['stage'][:] |
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95 | |
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96 | reference_time = [] |
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97 | fid = open(project.validation_filename) |
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98 | lines = fid.readlines() |
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99 | fid.close() |
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100 | |
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101 | for i, line in enumerate(lines[1:]): |
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102 | if i == len(input_time): break |
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103 | |
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104 | fields = line.split() |
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105 | |
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106 | reference_time.append(float(fields[0])) # Record reference time |
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107 | for j, key in enumerate(gauge_names[1:]): # Omit boundary gauge |
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108 | value = float(fields[1:][j]) # Omit time |
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109 | validation_data[key].append(value/100) # Convert cm2m |
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110 | |
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111 | |
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112 | # Checks |
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113 | assert reference_time[0] == 0.0 |
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114 | assert reference_time[-1] == finaltime |
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115 | assert num.allclose(reference_time, input_time) |
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116 | |
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117 | for key in gauge_names: |
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118 | validation_data[key] = ensure_numeric(validation_data[key]) |
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119 | |
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120 | #-------------------------------------------------- |
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121 | # Read and interpolate model output |
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122 | #-------------------------------------------------- |
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123 | |
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124 | import sys |
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125 | if len(sys.argv) > 1: |
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126 | sww_filename = sys.argv[1] |
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127 | else: |
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128 | sww_filename = project.output_filename |
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129 | |
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130 | f = file_function(sww_filename, |
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131 | quantities='stage', |
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132 | interpolation_points=gauge_locations, |
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133 | use_cache=True, |
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134 | verbose=True) |
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135 | |
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136 | |
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137 | def report_difference(name, computed_value, reference_value, rtol, atol): |
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138 | |
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139 | if abs(reference_value) > 0: |
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140 | msg = '%s (expected, computed):\n (%.18e, %.18e):\n Relative error=%.18e'\ |
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141 | %(name, reference_value, computed_value, |
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142 | abs(reference_value-computed_value)/reference_value) |
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143 | print msg |
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144 | |
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145 | |
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146 | msg = ' Absolute error=%.18e'\ |
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147 | %(abs(reference_value-computed_value)) |
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148 | print msg |
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149 | |
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150 | |
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151 | #print 'Allclose:', allclose(reference_value, computed_value, |
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152 | # rtol=rtol, atol=atol) |
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153 | if plotting is False: |
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154 | assert num.allclose(reference_value, computed_value, |
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155 | rtol=rtol, atol=atol), msg |
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156 | |
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157 | |
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158 | |
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159 | #-------------------------------------------------- |
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160 | # Compare model output to validation data |
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161 | #-------------------------------------------------- |
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162 | |
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163 | |
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164 | #eps = get_machine_precision() |
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165 | |
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166 | # Windows tolerances |
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167 | rtol = 1.0e-2 |
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168 | atol = 1.0e-3 |
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169 | print 'Precisions used: rtol=%e, atol=%e' %(rtol, atol) |
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170 | |
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171 | for k, name in enumerate(gauge_names): |
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172 | |
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173 | sqsum = 0 |
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174 | denom = 0 |
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175 | model = [] |
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176 | print |
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177 | print 'Validating ' + name |
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178 | observed_timeseries = validation_data[name] |
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179 | for i, t in enumerate(reference_time): |
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180 | model.append(f(t, point_id=k)[0]) |
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181 | |
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182 | # Covariance measure |
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183 | res = cov(observed_timeseries, model) |
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184 | report_difference('Covariance', res, expected_covariance[name], rtol, atol) |
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185 | |
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186 | # Difference measures |
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187 | res = sum(abs(observed_timeseries-model))/len(model) |
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188 | report_difference('Accumulated difference', res, |
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189 | expected_difference[name], rtol, atol) |
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190 | |
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191 | # Extrema |
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192 | res = max(model) |
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193 | report_difference('Maximum', res, expected_maximum[name], rtol, atol) |
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194 | |
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195 | res = min(model) |
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196 | report_difference('Minimum', res, expected_minimum[name], rtol, atol) |
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197 | |
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198 | # Locations of extrema |
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199 | #i0 = argmax(observed_timeseries) |
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200 | i1 = num.argmax(model) |
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201 | res = reference_time[i1] |
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202 | report_difference('Location of maximum', res, expected_argmax[name], rtol, atol) |
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203 | |
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204 | |
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205 | if not name in ['ch7', 'ch9']: |
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206 | # Minima of ch7 and ch9 are very flat and hard to pinpoint |
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207 | i1 = num.argmin(model) |
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208 | res = reference_time[i1] |
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209 | report_difference('Location of minimum', res, expected_argmin[name], |
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210 | rtol, atol) |
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211 | |
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212 | |
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213 | if plotting is True: |
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214 | #ion() # No plotting on screen |
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215 | hold(False) |
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216 | |
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217 | plot(reference_time, validation_data[name], 'r-', |
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218 | reference_time, model, 'k-') |
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219 | title('Gauge %s' %name) |
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220 | xlabel('time(s)') |
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221 | ylabel('stage (m)') |
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222 | legend(('Observed', 'Modelled'), shadow=True, loc='upper left') |
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223 | savefig(name, dpi = 300) |
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224 | |
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225 | |
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226 | |
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227 | |
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228 | # Check max runup |
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229 | |
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230 | from anuga.shallow_water.data_manager import get_maximum_inundation_elevation |
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231 | from anuga.shallow_water.data_manager import get_maximum_inundation_location |
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232 | from anuga.utilities.polygon import is_inside_polygon |
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233 | |
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234 | q = get_maximum_inundation_elevation(sww_filename) |
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235 | loc = get_maximum_inundation_location(sww_filename) |
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236 | |
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237 | |
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238 | print 'Max runup elevation: ', q |
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239 | print 'Max runup elevation (scaled by 400): ', q*400 |
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240 | print 'Max runup location: ', loc |
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241 | |
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242 | |
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243 | from create_okushiri import gulleys |
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244 | assert is_inside_polygon(loc, gulleys) |
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245 | |
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246 | # FIXME more asserts here |
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247 | |
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248 | |
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249 | |
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250 | #msg = 'We got %f, should have been %f' %(q, q_max) |
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251 | #assert allclose(q, q_max, rtol=1.0/N), msg |
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252 | ##print 'loc', loc, q |
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253 | #assert allclose(-loc[0]/2, q) # From topography formula |
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254 | |
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255 | print 'OK' |
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