1 | """ |
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2 | |
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3 | Script for running a breaking wave simulation of Jon Hinwoods wave tank. |
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4 | Note: this is based on the frinction_ua_flume_2006 structure. |
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5 | |
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6 | |
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7 | Duncan Gray, GA - 2007 |
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8 | |
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9 | |
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10 | |
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11 | """ |
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12 | |
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13 | |
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14 | #---------------------------------------------------------------------------- |
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15 | # Import necessary modules |
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16 | #---------------------------------------------------------------------------- |
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17 | |
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18 | from Scientific.IO.NetCDF import NetCDFFile |
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19 | from Numeric import array, zeros, Float |
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20 | |
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21 | from anuga.utilities.numerical_tools import ensure_numeric |
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22 | |
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23 | from interp import interp |
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24 | |
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25 | def prepare_time_boundary(filename): |
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26 | """Convert benchmark 2 time series to NetCDF tms file. |
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27 | |
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28 | """ |
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29 | |
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30 | |
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31 | |
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32 | print 'Creating', filename |
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33 | |
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34 | # Read the ascii (.csv) version of this file |
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35 | fid = open(filename[:-4] + '.csv') |
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36 | |
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37 | # Read remaining lines |
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38 | lines = fid.readlines() |
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39 | fid.close() |
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40 | |
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41 | |
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42 | N = len(lines) |
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43 | T = zeros(N, Float) #Time |
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44 | Q = zeros(N, Float) #Stage |
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45 | X = zeros(N, Float) #XMomentum |
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46 | Y = zeros(N, Float) #YMomentum |
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47 | |
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48 | for i, line in enumerate(lines): |
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49 | fields = line.split(',') |
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50 | |
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51 | T[i] = float(fields[0]) |
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52 | Q[i] = depth = float(fields[1]) |
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53 | X[i] = float(fields[2]) * depth |
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54 | try: |
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55 | Y[i] = float(fields[3]) * depth |
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56 | except: |
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57 | pass |
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58 | |
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59 | |
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60 | |
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61 | # Create tms NetCDF file |
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62 | fid = NetCDFFile(filename, 'w') |
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63 | fid.institution = 'Geoscience Australia' |
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64 | fid.description = 'Input wave for Benchmark 2' |
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65 | fid.starttime = 0.0 |
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66 | fid.createDimension('number_of_timesteps', len(T)) |
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67 | fid.createVariable('time', Float, ('number_of_timesteps',)) |
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68 | fid.variables['time'][:] = T |
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69 | |
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70 | fid.createVariable('stage', Float, ('number_of_timesteps',)) |
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71 | fid.variables['stage'][:] = Q[:] |
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72 | |
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73 | fid.createVariable('xmomentum', Float, ('number_of_timesteps',)) |
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74 | fid.variables['xmomentum'][:] = X[:] |
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75 | |
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76 | fid.createVariable('ymomentum', Float, ('number_of_timesteps',)) |
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77 | fid.variables['ymomentum'][:] = Y[:] |
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78 | |
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79 | fid.close() |
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80 | |
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81 | |
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82 | def combine_velocity_depth(velocity_file, depth_file, out_file): |
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83 | """ |
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84 | |
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85 | Convert the raw velocity and depth values, which have values at |
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86 | different times to a csv file, with values at the same time, with |
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87 | SI units. |
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88 | |
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89 | Set the depth values to be at the same times as the velocity values. |
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90 | |
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91 | The format for the velocity file is; |
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92 | [time, sec], [x-velocity +ve is towards the wave generator, m/sec], |
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93 | [y-velocity], [z-velocity] |
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94 | |
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95 | The format for the pressure file is |
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96 | [time, sec], [mm above SWL for sensor A], many other sensors... |
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97 | """ |
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98 | missing = 1e+20 |
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99 | |
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100 | # Read velocity file |
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101 | vfid = open(velocity_file) |
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102 | lines = vfid.readlines() |
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103 | vfid.close() |
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104 | |
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105 | |
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106 | n_velocity = len(lines) |
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107 | vtimes = zeros(n_velocity, Float) #Time |
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108 | x_velocities = zeros(n_velocity, Float) # |
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109 | y_velocities = zeros(n_velocity, Float) # |
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110 | |
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111 | for i, line in enumerate(lines): |
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112 | fields = line.split() #(',') |
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113 | |
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114 | vtimes[i] = float(fields[0]) |
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115 | x_velocities[i] = float(fields[1]) |
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116 | y_velocities[i] = float(fields[2]) |
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117 | |
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118 | # Read the depth file |
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119 | dfid = open(depth_file) |
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120 | lines = dfid.readlines() |
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121 | dfid.close() |
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122 | |
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123 | |
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124 | n_depth = len(lines) |
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125 | n_sensors = len(lines[0].split()) |
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126 | dtimes = zeros(n_depth, Float) #Time |
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127 | depths = zeros(n_depth, Float) # |
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128 | sensors = zeros((n_depth,n_sensors), Float) |
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129 | |
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130 | for i, line in enumerate(lines): |
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131 | fields = line.split() #(',') |
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132 | fields = [float(j) for j in fields] |
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133 | dtimes[i] = fields[0] |
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134 | depths[i] = fields[1] |
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135 | sensors[i] = fields |
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136 | #print "dtimes", dtimes |
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137 | #print "depths", depths |
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138 | #print "vtimes", vtimes |
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139 | depths_at_vtimes = interp( depths, dtimes, |
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140 | vtimes, missing=missing) |
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141 | depths_at_vtimes = ensure_numeric(depths_at_vtimes) |
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142 | |
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143 | #print "len(dtimes)", len(vtimes) |
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144 | #print "len(depths_at_vtimes)", len(depths_at_vtimes) |
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145 | # for i in range(len(depths_at_vtimes)): |
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146 | # print "i", i |
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147 | # print "vtimes[i]", vtimes[i] |
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148 | # print "depths_at_vtimes[i]", depths_at_vtimes[i] |
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149 | # print "depths_at_vtimes", depths_at_vtimes |
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150 | depths_at_vtimes = depths_at_vtimes/1000.00 # convert from mm to m |
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151 | missing=missing/1000.00 # Do to missing what is done to depths_at_vtimes |
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152 | x_velocities = ensure_numeric(x_velocities) |
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153 | x_velocities = x_velocities * -1.0 # Swap axis around |
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154 | y_velocities = ensure_numeric(y_velocities) |
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155 | y_velocities = y_velocities * -1.0 # Swap axis around |
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156 | |
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157 | fid = open(out_file,'w') |
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158 | |
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159 | assert len(depths_at_vtimes) == len(vtimes) |
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160 | start_time = None |
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161 | #start_time = 0.0 |
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162 | #for vtime, depth_at_vtime, velocity in map(vtimes, depths_at_vtimes, |
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163 | # velocities): |
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164 | for i in xrange(len(vtimes)): |
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165 | if not depths_at_vtimes[i] == missing: |
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166 | # Make the times start at zero. |
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167 | if start_time is None: |
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168 | start_time = vtimes[i] |
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169 | fid.write(str(vtimes[i]-start_time) \ |
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170 | + ',' + str(depths_at_vtimes[i]) \ |
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171 | + ',' + str(x_velocities[i]) \ |
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172 | + ',' + str(y_velocities[i])+'\n') |
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173 | |
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174 | fid.close() |
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175 | |
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176 | # Since there is a new time reference save the depth info using this |
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177 | # new reference. |
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178 | fid = open(depth_file[:-4] + '_new_time'+depth_file[-4:],'w') |
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179 | sensors[:,0] -= start_time |
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180 | #print "depth_file", depth_file |
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181 | #print "start_time", start_time |
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182 | for i in xrange(len(dtimes)): |
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183 | fid.write(str(sensors[i,0])) |
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184 | for j in xrange(1,len(sensors[0])): |
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185 | fid.write(' ' + str(sensors[i,j])) |
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186 | fid.write('\n') |
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187 | fid.close() |
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188 | |
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189 | |
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190 | |
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191 | #------------------------------------------------------------------- |
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192 | if __name__ == "__main__": |
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193 | from os import getenv |
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194 | from os.path import join |
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195 | home = getenv('INUNDATIONHOME') |
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196 | Hinwood_dir = join(home,'data','flumes','Hinwood_2008') |
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197 | raw_data_dir = join(Hinwood_dir, 'raw_data') |
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198 | |
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199 | # Test 1 Run 5 |
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200 | combine_velocity_depth(join(raw_data_dir,'T1R5velfilt.txt'), |
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201 | join(raw_data_dir,'T1R5pressfilt.txt'), |
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202 | join(Hinwood_dir, 'T1R5_boundary.csv')) |
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203 | # Create the tsm file |
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204 | prepare_time_boundary(join(Hinwood_dir, 'T1R5_boundary.tsm')) |
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205 | |
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206 | # Test 2 Run 7 |
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207 | combine_velocity_depth(join(raw_data_dir,'T2R7velfilt.txt'), |
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208 | join(raw_data_dir,'T2R7pressfilt.txt'), |
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209 | join(Hinwood_dir, 'T2R7_boundary.csv')) |
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210 | # Create the tsm file |
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211 | prepare_time_boundary(join(Hinwood_dir, 'T2R7_boundary.tsm')) |
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