1 | import unittest |
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2 | import tempfile |
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3 | import numpy as num |
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4 | import os |
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5 | from struct import pack, unpack |
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6 | from Scientific.IO.NetCDF import NetCDFFile |
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7 | |
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8 | from anuga.utilities.numerical_tools import ensure_numeric |
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9 | from anuga.coordinate_transforms.redfearn import redfearn |
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10 | from anuga.coordinate_transforms.geo_reference import Geo_reference |
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11 | |
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12 | from mux import WAVEHEIGHT_MUX_LABEL, EAST_VELOCITY_LABEL, \ |
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13 | NORTH_VELOCITY_LABEL |
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14 | |
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15 | from mux import WAVEHEIGHT_MUX2_LABEL, EAST_VELOCITY_MUX2_LABEL, \ |
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16 | NORTH_VELOCITY_MUX2_LABEL |
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17 | |
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18 | from mux import read_mux2_py |
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19 | from anuga.file_conversion.urs2sts import urs2sts |
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20 | from anuga.file.urs import Read_urs |
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21 | |
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22 | class Test_Mux(unittest.TestCase): |
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23 | def setUp(self): |
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24 | pass |
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25 | |
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26 | def tearDown(self): |
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27 | pass |
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28 | |
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29 | def write_mux(self, lat_long_points, time_step_count, time_step, |
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30 | depth=None, ha=None, ua=None, va=None): |
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31 | """ |
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32 | This will write 3 non-gridded mux files, for testing. |
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33 | If no quantities are passed in, |
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34 | na and va quantities will be the Easting values. |
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35 | Depth and ua will be the Northing value. |
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36 | |
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37 | The mux file format has south as positive so |
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38 | this function will swap the sign for va. |
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39 | """ |
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40 | |
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41 | #print "lat_long_points", lat_long_points |
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42 | #print "time_step_count",time_step_count |
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43 | #print "time_step", |
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44 | |
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45 | |
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46 | points_num = len(lat_long_points) |
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47 | lonlatdeps = [] |
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48 | quantities = ['HA','UA','VA'] |
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49 | |
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50 | mux_names = [WAVEHEIGHT_MUX_LABEL, |
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51 | EAST_VELOCITY_LABEL, |
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52 | NORTH_VELOCITY_LABEL] |
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53 | quantities_init = [[],[],[]] |
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54 | # urs binary is latitude fastest |
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55 | for point in lat_long_points: |
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56 | lat = point[0] |
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57 | lon = point[1] |
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58 | _ , e, n = redfearn(lat, lon) |
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59 | if depth is None: |
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60 | this_depth = n |
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61 | else: |
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62 | this_depth = depth |
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63 | if ha is None: |
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64 | this_ha = e |
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65 | else: |
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66 | this_ha = ha |
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67 | if ua is None: |
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68 | this_ua = n |
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69 | else: |
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70 | this_ua = ua |
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71 | if va is None: |
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72 | this_va = e |
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73 | else: |
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74 | this_va = va |
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75 | lonlatdeps.append([lon, lat, this_depth]) |
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76 | quantities_init[0].append(this_ha) # HA |
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77 | quantities_init[1].append(this_ua) # UA |
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78 | quantities_init[2].append(this_va) # VA |
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79 | |
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80 | file_handle, base_name = tempfile.mkstemp("") |
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81 | os.close(file_handle) |
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82 | os.remove(base_name) |
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83 | |
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84 | files = [] |
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85 | for i, q in enumerate(quantities): |
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86 | quantities_init[i] = ensure_numeric(quantities_init[i]) |
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87 | #print "HA_init", HA_init |
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88 | q_time = num.zeros((time_step_count, points_num), num.float) |
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89 | for time in range(time_step_count): |
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90 | q_time[time,:] = quantities_init[i] #* time * 4 |
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91 | |
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92 | #Write C files |
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93 | columns = 3 # long, lat , depth |
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94 | file = base_name + mux_names[i] |
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95 | #print "base_name file",file |
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96 | f = open(file, 'wb') |
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97 | files.append(file) |
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98 | f.write(pack('i',points_num)) |
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99 | f.write(pack('i',time_step_count)) |
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100 | f.write(pack('f',time_step)) |
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101 | |
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102 | #write lat/long info |
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103 | for lonlatdep in lonlatdeps: |
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104 | for float in lonlatdep: |
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105 | f.write(pack('f',float)) |
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106 | |
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107 | # Write quantity info |
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108 | for time in range(time_step_count): |
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109 | for point_i in range(points_num): |
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110 | f.write(pack('f',q_time[time,point_i])) |
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111 | #print " mux_names[i]", mux_names[i] |
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112 | #print "f.write(pack('f',q_time[time,i]))", q_time[time,point_i] |
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113 | f.close() |
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114 | return base_name, files |
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115 | |
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116 | |
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117 | def delete_mux(self, files): |
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118 | for file in files: |
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119 | os.remove(file) |
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120 | |
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121 | def write_mux2(self, lat_long_points, time_step_count, time_step, |
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122 | first_tstep, last_tstep, |
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123 | depth=None, ha=None, ua=None, va=None): |
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124 | """ |
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125 | This will write 3 non-gridded mux files, for testing. |
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126 | If no quantities are passed in, |
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127 | na and va quantities will be the Easting values. |
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128 | Depth and ua will be the Northing value. |
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129 | """ |
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130 | #print "lat_long_points", lat_long_points |
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131 | #print "time_step_count",time_step_count |
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132 | #print "time_step", |
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133 | |
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134 | #irrelevant header information |
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135 | ig=ilon=ilat=0 |
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136 | mcolat=mcolon=centerlat=centerlon=offset=az=baz=id=0.0 |
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137 | |
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138 | points_num = len(lat_long_points) |
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139 | latlondeps = [] |
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140 | quantities = ['HA','UA','VA'] |
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141 | |
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142 | mux_names = [WAVEHEIGHT_MUX2_LABEL, |
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143 | EAST_VELOCITY_MUX2_LABEL, |
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144 | NORTH_VELOCITY_MUX2_LABEL] |
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145 | |
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146 | msg='first_tstep and last_step arrays must have same length as number of points' |
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147 | assert len(first_tstep)==points_num,msg |
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148 | assert len(last_tstep)==points_num,msg |
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149 | |
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150 | if depth is not None: |
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151 | depth=ensure_numeric(depth) |
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152 | assert len(depth)==points_num |
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153 | if ha is not None: |
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154 | ha=ensure_numeric(ha) |
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155 | assert ha.shape==(points_num,time_step_count) |
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156 | if ua is not None: |
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157 | ua=ensure_numeric(ua) |
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158 | assert ua.shape==(points_num,time_step_count) |
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159 | if va is not None: |
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160 | va=ensure_numeric(va) |
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161 | assert va.shape==(points_num,time_step_count) |
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162 | |
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163 | quantities_init = [[],[],[]] |
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164 | # urs binary is latitude fastest |
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165 | for i,point in enumerate(lat_long_points): |
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166 | lat = point[0] |
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167 | lon = point[1] |
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168 | _ , e, n = redfearn(lat, lon) |
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169 | if depth is None: |
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170 | this_depth = n |
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171 | else: |
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172 | this_depth = depth[i] |
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173 | latlondeps.append([lat, lon, this_depth]) |
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174 | |
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175 | if ha is None: |
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176 | this_ha = e |
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177 | quantities_init[0].append(num.ones(time_step_count,num.float)*this_ha) # HA |
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178 | else: |
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179 | quantities_init[0].append(ha[i]) |
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180 | if ua is None: |
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181 | this_ua = n |
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182 | quantities_init[1].append(num.ones(time_step_count,num.float)*this_ua) # UA |
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183 | else: |
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184 | quantities_init[1].append(ua[i]) |
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185 | if va is None: |
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186 | this_va = e |
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187 | quantities_init[2].append(num.ones(time_step_count,num.float)*this_va) # |
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188 | else: |
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189 | quantities_init[2].append(-va[i]) # South is negative in MUX |
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190 | |
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191 | file_handle, base_name = tempfile.mkstemp("write_mux2") |
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192 | os.close(file_handle) |
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193 | os.remove(base_name) |
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194 | |
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195 | files = [] |
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196 | for i, q in enumerate(quantities): |
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197 | q_time = num.zeros((time_step_count, points_num), num.float) |
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198 | quantities_init[i] = ensure_numeric(quantities_init[i]) |
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199 | for time in range(time_step_count): |
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200 | #print i, q, time, quantities_init[i][:,time] |
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201 | q_time[time,:] = quantities_init[i][:,time] |
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202 | #print i, q, time, q_time[time, :] |
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203 | |
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204 | #Write C files |
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205 | columns = 3 # long, lat , depth |
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206 | file = base_name + mux_names[i] |
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207 | |
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208 | #print 'base_name file', file |
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209 | f = open(file, 'wb') |
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210 | files.append(file) |
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211 | |
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212 | f.write(pack('i',points_num)) |
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213 | #write mux 2 header |
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214 | for latlondep in latlondeps: |
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215 | f.write(pack('f',latlondep[0])) |
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216 | f.write(pack('f',latlondep[1])) |
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217 | f.write(pack('f',mcolat)) |
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218 | f.write(pack('f',mcolon)) |
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219 | f.write(pack('i',ig)) |
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220 | f.write(pack('i',ilon)) |
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221 | f.write(pack('i',ilat)) |
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222 | f.write(pack('f',latlondep[2])) |
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223 | f.write(pack('f',centerlat)) |
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224 | f.write(pack('f',centerlon)) |
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225 | f.write(pack('f',offset)) |
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226 | f.write(pack('f',az)) |
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227 | f.write(pack('f',baz)) |
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228 | f.write(pack('f',time_step)) |
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229 | f.write(pack('i',time_step_count)) |
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230 | for j in range(4): # identifier |
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231 | f.write(pack('f',id)) |
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232 | |
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233 | #first_tstep=1 |
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234 | #last_tstep=time_step_count |
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235 | for i,latlondep in enumerate(latlondeps): |
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236 | f.write(pack('i',first_tstep[i])) |
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237 | for i,latlondep in enumerate(latlondeps): |
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238 | f.write(pack('i',last_tstep[i])) |
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239 | |
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240 | # Find when first station starts recording |
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241 | min_tstep = min(first_tstep) |
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242 | # Find when all stations have stopped recording |
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243 | max_tstep = max(last_tstep) |
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244 | |
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245 | #for time in range(time_step_count): |
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246 | for time in range(min_tstep-1,max_tstep): |
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247 | f.write(pack('f',time*time_step)) |
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248 | for point_i in range(points_num): |
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249 | if time+1>=first_tstep[point_i] and time+1<=last_tstep[point_i]: |
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250 | #print 'writing', time, point_i, q_time[time, point_i] |
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251 | f.write(pack('f', q_time[time, point_i])) |
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252 | f.close() |
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253 | |
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254 | return base_name, files |
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255 | |
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256 | |
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257 | def test_urs2sts_read_mux2_pyI(self): |
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258 | """test_urs2sts_read_mux2_pyI(self): |
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259 | Constant stage,momentum at each gauge |
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260 | """ |
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261 | tide = 1 |
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262 | time_step_count = 3 |
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263 | time_step = 2 |
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264 | lat_long_points =[(-21.5,114.5),(-21,114.5),(-21.5,115), (-21.,115.)] |
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265 | n=len(lat_long_points) |
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266 | first_tstep=num.ones(n,num.int) |
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267 | last_tstep=time_step_count*num.ones(n,num.int) |
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268 | depth=20*num.ones(n,num.float) |
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269 | ha=2*num.ones((n,time_step_count),num.float) |
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270 | ua=5*num.ones((n,time_step_count),num.float) |
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271 | va=-10*num.ones((n,time_step_count),num.float) |
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272 | #-ve added to take into account mux file format where south is positive. |
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273 | base_name, files = self.write_mux2(lat_long_points, |
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274 | time_step_count, time_step, |
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275 | first_tstep, last_tstep, |
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276 | depth=depth, |
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277 | ha=ha, |
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278 | ua=ua, |
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279 | va=va) |
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280 | |
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281 | weights=num.ones(1, num.float) |
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282 | #ensure that files are indeed mux2 files |
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283 | times, latitudes, longitudes, elevation, stage, starttime = read_mux2_py([files[0]],weights) |
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284 | ua_times, ua_latitudes, ua_longitudes, ua_elevation, xvelocity,starttime_ua=read_mux2_py([files[1]],weights) |
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285 | msg='ha and ua have different gauge meta data' |
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286 | assert num.allclose(times,ua_times) and num.allclose(latitudes,ua_latitudes) and num.allclose(longitudes,ua_longitudes) and num.allclose(elevation,ua_elevation) and num.allclose(starttime,starttime_ua), msg |
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287 | va_times, va_latitudes, va_longitudes, va_elevation, yvelocity, starttime_va=read_mux2_py([files[2]],weights) |
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288 | msg='ha and va have different gauge meta data' |
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289 | assert num.allclose(times,va_times) and num.allclose(latitudes,va_latitudes) and num.allclose(longitudes,va_longitudes) and num.allclose(elevation,va_elevation) and num.allclose(starttime,starttime_va), msg |
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290 | |
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291 | self.delete_mux(files) |
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292 | |
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293 | msg='time array has incorrect length' |
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294 | assert times.shape[0]==time_step_count,msg |
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295 | |
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296 | msg = 'time array is incorrect' |
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297 | #assert allclose(times,time_step*num.arange(1,time_step_count+1)),msg |
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298 | assert num.allclose(times,time_step*num.arange(time_step_count)), msg |
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299 | |
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300 | msg='Incorrect gauge positions returned' |
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301 | for i,point in enumerate(lat_long_points): |
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302 | assert num.allclose(latitudes[i],point[0]) and num.allclose(longitudes[i],point[1]),msg |
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303 | |
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304 | msg='Incorrect gauge depths returned' |
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305 | assert num.allclose(elevation,-depth),msg |
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306 | msg='incorrect gauge height time series returned' |
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307 | assert num.allclose(stage,ha) |
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308 | msg='incorrect gauge ua time series returned' |
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309 | assert num.allclose(xvelocity,ua) |
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310 | msg='incorrect gauge va time series returned' |
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311 | assert num.allclose(yvelocity, -va) |
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312 | |
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313 | def test_urs2sts_read_mux2_pyII(self): |
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314 | """Spatially varing stage |
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315 | """ |
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316 | tide = 1 |
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317 | time_step_count = 3 |
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318 | time_step = 2 |
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319 | lat_long_points =[(-21.5,114.5),(-21,114.5),(-21.5,115), (-21.,115.)] |
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320 | n=len(lat_long_points) |
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321 | first_tstep=num.ones(n,num.int) |
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322 | last_tstep=(time_step_count)*num.ones(n,num.int) |
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323 | depth=20*num.ones(n,num.float) |
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324 | ha=2*num.ones((n,time_step_count),num.float) |
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325 | ha[0]=num.arange(0,time_step_count)+1 |
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326 | ha[1]=time_step_count-num.arange(1,time_step_count+1) |
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327 | ha[1]=num.arange(time_step_count,2*time_step_count) |
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328 | ha[2]=num.arange(2*time_step_count,3*time_step_count) |
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329 | ha[3]=num.arange(3*time_step_count,4*time_step_count) |
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330 | ua=5*num.ones((n,time_step_count),num.float) |
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331 | va=-10*num.ones((n,time_step_count),num.float) |
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332 | #-ve added to take into account mux file format where south is positive. |
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333 | base_name, files = self.write_mux2(lat_long_points, |
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334 | time_step_count, time_step, |
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335 | first_tstep, last_tstep, |
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336 | depth=depth, |
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337 | ha=ha, |
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338 | ua=ua, |
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339 | va=va) |
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340 | |
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341 | weights=num.ones(1, num.float) |
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342 | #ensure that files are indeed mux2 files |
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343 | times, latitudes, longitudes, elevation, stage,starttime=read_mux2_py([files[0]],weights) |
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344 | ua_times, ua_latitudes, ua_longitudes, ua_elevation, xvelocity,starttime_ua=read_mux2_py([files[1]],weights) |
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345 | msg='ha and ua have different gauge meta data' |
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346 | assert num.allclose(times,ua_times) and num.allclose(latitudes,ua_latitudes) and num.allclose(longitudes,ua_longitudes) and num.allclose(elevation,ua_elevation) and num.allclose(starttime,starttime_ua), msg |
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347 | va_times, va_latitudes, va_longitudes, va_elevation, yvelocity,starttime_va=read_mux2_py([files[2]],weights) |
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348 | msg='ha and va have different gauge meta data' |
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349 | assert num.allclose(times,va_times) and num.allclose(latitudes,va_latitudes) and num.allclose(longitudes,va_longitudes) and num.allclose(elevation,va_elevation) and num.allclose(starttime,starttime_va), msg |
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350 | |
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351 | |
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352 | self.delete_mux(files) |
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353 | |
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354 | msg='time array has incorrect length' |
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355 | #assert times.shape[0]==time_step_count,msg |
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356 | msg = 'time array is incorrect' |
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357 | #assert allclose(times,time_step*num.arange(1,time_step_count+1)),msg |
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358 | msg='Incorrect gauge positions returned' |
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359 | for i,point in enumerate(lat_long_points): |
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360 | assert num.allclose(latitudes[i],point[0]) and num.allclose(longitudes[i],point[1]),msg |
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361 | |
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362 | msg='Incorrect gauge depths returned' |
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363 | assert num.allclose(elevation, -depth),msg |
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364 | msg='incorrect gauge height time series returned' |
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365 | assert num.allclose(stage, ha) |
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366 | msg='incorrect gauge ua time series returned' |
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367 | assert num.allclose(xvelocity, ua) |
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368 | msg='incorrect gauge va time series returned' |
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369 | assert num.allclose(yvelocity, -va) # South is positive in MUX |
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370 | |
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371 | def test_urs2sts_read_mux2_pyIII(self): |
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372 | """Varying start and finish times |
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373 | """ |
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374 | tide = 1 |
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375 | time_step_count = 3 |
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376 | time_step = 2 |
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377 | lat_long_points =[(-21.5,114.5),(-21,114.5),(-21.5,115), (-21.,115.)] |
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378 | n=len(lat_long_points) |
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379 | first_tstep=num.ones(n,num.int) |
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380 | first_tstep[0]+=1 |
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381 | first_tstep[2]+=1 |
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382 | last_tstep=(time_step_count)*num.ones(n,num.int) |
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383 | last_tstep[0]-=1 |
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384 | |
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385 | depth=20*num.ones(n,num.float) |
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386 | ha=2*num.ones((n,time_step_count),num.float) |
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387 | ha[0]=num.arange(0,time_step_count) |
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388 | ha[1]=num.arange(time_step_count,2*time_step_count) |
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389 | ha[2]=num.arange(2*time_step_count,3*time_step_count) |
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390 | ha[3]=num.arange(3*time_step_count,4*time_step_count) |
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391 | ua=5*num.ones((n,time_step_count),num.float) |
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392 | va=-10*num.ones((n,time_step_count),num.float) |
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393 | #-ve added to take into account mux file format where south is positive. |
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394 | base_name, files = self.write_mux2(lat_long_points, |
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395 | time_step_count, time_step, |
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396 | first_tstep, last_tstep, |
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397 | depth=depth, |
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398 | ha=ha, |
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399 | ua=ua, |
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400 | va=va) |
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401 | |
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402 | weights=num.ones(1, num.float) |
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403 | #ensure that files are indeed mux2 files |
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404 | times, latitudes, longitudes, elevation, stage, starttime=read_mux2_py([files[0]],weights) |
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405 | ua_times, ua_latitudes, ua_longitudes, ua_elevation, xvelocity, starttime_ua=read_mux2_py([files[1]],weights) |
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406 | msg='ha and ua have different gauge meta data' |
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407 | assert num.allclose(times,ua_times) and num.allclose(latitudes,ua_latitudes) and num.allclose(longitudes,ua_longitudes) and num.allclose(elevation,ua_elevation) and num.allclose(starttime,starttime_ua), msg |
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408 | va_times, va_latitudes, va_longitudes, va_elevation, yvelocity,starttime_va=read_mux2_py([files[2]],weights) |
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409 | msg='ha and va have different gauge meta data' |
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410 | assert num.allclose(times,va_times) and num.allclose(latitudes,va_latitudes) and num.allclose(longitudes,va_longitudes) and num.allclose(elevation,va_elevation) and num.allclose(starttime,starttime_va), msg |
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411 | |
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412 | self.delete_mux(files) |
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413 | |
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414 | msg='time array has incorrect length' |
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415 | #assert times.shape[0]==time_step_count,msg |
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416 | msg = 'time array is incorrect' |
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417 | #assert allclose(times,time_step*num.arange(1,time_step_count+1)),msg |
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418 | msg='Incorrect gauge positions returned' |
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419 | for i,point in enumerate(lat_long_points): |
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420 | assert num.allclose(latitudes[i],point[0]) and num.allclose(longitudes[i],point[1]),msg |
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421 | |
---|
422 | |
---|
423 | # Set original data used to write mux file to be zero when gauges are |
---|
424 | #not recdoring |
---|
425 | ha[0][0]=0.0 |
---|
426 | ha[0][time_step_count-1]=0.0; |
---|
427 | ha[2][0]=0.0; |
---|
428 | ua[0][0]=0.0 |
---|
429 | ua[0][time_step_count-1]=0.0; |
---|
430 | ua[2][0]=0.0; |
---|
431 | va[0][0]=0.0 |
---|
432 | va[0][time_step_count-1]=0.0; |
---|
433 | va[2][0]=0.0; |
---|
434 | msg='Incorrect gauge depths returned' |
---|
435 | assert num.allclose(elevation,-depth),msg |
---|
436 | msg='incorrect gauge height time series returned' |
---|
437 | assert num.allclose(stage,ha) |
---|
438 | msg='incorrect gauge ua time series returned' |
---|
439 | assert num.allclose(xvelocity,ua) |
---|
440 | msg='incorrect gauge va time series returned' |
---|
441 | assert num.allclose(yvelocity, -va) # South is positive in mux |
---|
442 | |
---|
443 | |
---|
444 | |
---|
445 | def test_read_mux_platform_problem1(self): |
---|
446 | """test_read_mux_platform_problem1 |
---|
447 | |
---|
448 | This is to test a situation where read_mux returned |
---|
449 | wrong values Win32 |
---|
450 | |
---|
451 | This test passes on Windows but test_read_mux_platform_problem2 |
---|
452 | does not |
---|
453 | """ |
---|
454 | |
---|
455 | from urs_ext import read_mux2 |
---|
456 | |
---|
457 | verbose = False |
---|
458 | |
---|
459 | tide = 1.5 |
---|
460 | time_step_count = 10 |
---|
461 | time_step = 0.2 |
---|
462 | times_ref = num.arange(0, time_step_count*time_step, time_step) |
---|
463 | |
---|
464 | lat_long_points = [(-21.5,114.5), (-21,114.5), (-21.5,115), (-21.,115.), (-22., 117.)] |
---|
465 | n = len(lat_long_points) |
---|
466 | |
---|
467 | # Create different timeseries starting and ending at different times |
---|
468 | first_tstep=num.ones(n, num.int) |
---|
469 | first_tstep[0]+=2 # Point 0 starts at 2 |
---|
470 | first_tstep[1]+=4 # Point 1 starts at 4 |
---|
471 | first_tstep[2]+=3 # Point 2 starts at 3 |
---|
472 | |
---|
473 | last_tstep=(time_step_count)*num.ones(n,num.int) |
---|
474 | last_tstep[0]-=1 # Point 0 ends 1 step early |
---|
475 | last_tstep[1]-=2 # Point 1 ends 2 steps early |
---|
476 | last_tstep[4]-=3 # Point 4 ends 3 steps early |
---|
477 | |
---|
478 | # Create varying elevation data (positive values for seafloor) |
---|
479 | gauge_depth=20*num.ones(n,num.float) |
---|
480 | for i in range(n): |
---|
481 | gauge_depth[i] += i**2 |
---|
482 | |
---|
483 | # Create data to be written to first mux file |
---|
484 | ha0=2*num.ones((n,time_step_count),num.float) |
---|
485 | ha0[0]=num.arange(0,time_step_count) |
---|
486 | ha0[1]=num.arange(time_step_count,2*time_step_count) |
---|
487 | ha0[2]=num.arange(2*time_step_count,3*time_step_count) |
---|
488 | ha0[3]=num.arange(3*time_step_count,4*time_step_count) |
---|
489 | ua0=5*num.ones((n,time_step_count),num.float) |
---|
490 | va0=-10*num.ones((n,time_step_count),num.float) |
---|
491 | |
---|
492 | # Ensure data used to write mux file to be zero when gauges are |
---|
493 | # not recording |
---|
494 | for i in range(n): |
---|
495 | # For each point |
---|
496 | for j in range(0, first_tstep[i]-1) + range(last_tstep[i], time_step_count): |
---|
497 | # For timesteps before and after recording range |
---|
498 | ha0[i][j] = ua0[i][j] = va0[i][j] = 0.0 |
---|
499 | |
---|
500 | # Write first mux file to be combined by urs2sts |
---|
501 | base_nameI, filesI = self.write_mux2(lat_long_points, |
---|
502 | time_step_count, time_step, |
---|
503 | first_tstep, last_tstep, |
---|
504 | depth=gauge_depth, |
---|
505 | ha=ha0, |
---|
506 | ua=ua0, |
---|
507 | va=va0) |
---|
508 | |
---|
509 | # Create ordering file |
---|
510 | permutation = ensure_numeric([4,0,2]) |
---|
511 | |
---|
512 | _, ordering_filename = tempfile.mkstemp('') |
---|
513 | order_fid = open(ordering_filename, 'w') |
---|
514 | order_fid.write('index, longitude, latitude\n') |
---|
515 | for index in permutation: |
---|
516 | order_fid.write('%d, %f, %f\n' %(index, |
---|
517 | lat_long_points[index][1], |
---|
518 | lat_long_points[index][0])) |
---|
519 | order_fid.close() |
---|
520 | |
---|
521 | |
---|
522 | |
---|
523 | # ------------------------------------- |
---|
524 | # Now read files back and check values |
---|
525 | weights = ensure_numeric([1.0]) |
---|
526 | |
---|
527 | # For each quantity read the associated list of source mux2 file with |
---|
528 | # extention associated with that quantity |
---|
529 | file_params=-1*num.ones(3,num.float) #[nsta,dt,nt] |
---|
530 | OFFSET = 5 |
---|
531 | |
---|
532 | for j, file in enumerate(filesI): |
---|
533 | data = read_mux2(1, [file], weights, file_params, permutation, verbose) |
---|
534 | |
---|
535 | number_of_selected_stations = data.shape[0] |
---|
536 | |
---|
537 | # Index where data ends and parameters begin |
---|
538 | parameters_index = data.shape[1]-OFFSET |
---|
539 | |
---|
540 | for i in range(number_of_selected_stations): |
---|
541 | if j == 0: assert num.allclose(data[i][:parameters_index], ha0[permutation[i], :]) |
---|
542 | if j == 1: assert num.allclose(data[i][:parameters_index], ua0[permutation[i], :]) |
---|
543 | if j == 2: assert num.allclose(data[i][:parameters_index], -va0[permutation[i], :]) |
---|
544 | |
---|
545 | self.delete_mux(filesI) |
---|
546 | |
---|
547 | |
---|
548 | |
---|
549 | |
---|
550 | def test_read_mux_platform_problem2(self): |
---|
551 | """test_read_mux_platform_problem2 |
---|
552 | |
---|
553 | This is to test a situation where read_mux returned |
---|
554 | wrong values Win32 |
---|
555 | |
---|
556 | This test does not pass on Windows but test_read_mux_platform_problem1 |
---|
557 | does |
---|
558 | """ |
---|
559 | |
---|
560 | from urs_ext import read_mux2 |
---|
561 | |
---|
562 | from anuga.config import single_precision as epsilon |
---|
563 | |
---|
564 | verbose = False |
---|
565 | |
---|
566 | tide = 1.5 |
---|
567 | time_step_count = 10 |
---|
568 | time_step = 0.2 |
---|
569 | |
---|
570 | times_ref = num.arange(0, time_step_count*time_step, time_step) |
---|
571 | |
---|
572 | lat_long_points = [(-21.5,114.5), (-21,114.5), (-21.5,115), |
---|
573 | (-21.,115.), (-22., 117.)] |
---|
574 | n = len(lat_long_points) |
---|
575 | |
---|
576 | # Create different timeseries starting and ending at different times |
---|
577 | first_tstep=num.ones(n,num.int) |
---|
578 | first_tstep[0]+=2 # Point 0 starts at 2 |
---|
579 | first_tstep[1]+=4 # Point 1 starts at 4 |
---|
580 | first_tstep[2]+=3 # Point 2 starts at 3 |
---|
581 | |
---|
582 | last_tstep=(time_step_count)*num.ones(n,num.int) |
---|
583 | last_tstep[0]-=1 # Point 0 ends 1 step early |
---|
584 | last_tstep[1]-=2 # Point 1 ends 2 steps early |
---|
585 | last_tstep[4]-=3 # Point 4 ends 3 steps early |
---|
586 | |
---|
587 | # Create varying elevation data (positive values for seafloor) |
---|
588 | gauge_depth=20*num.ones(n,num.float) |
---|
589 | for i in range(n): |
---|
590 | gauge_depth[i] += i**2 |
---|
591 | |
---|
592 | # Create data to be written to second mux file |
---|
593 | ha1=num.ones((n,time_step_count),num.float) |
---|
594 | ha1[0]=num.sin(times_ref) |
---|
595 | ha1[1]=2*num.sin(times_ref - 3) |
---|
596 | ha1[2]=5*num.sin(4*times_ref) |
---|
597 | ha1[3]=num.sin(times_ref) |
---|
598 | ha1[4]=num.sin(2*times_ref-0.7) |
---|
599 | |
---|
600 | ua1=num.zeros((n,time_step_count),num.float) |
---|
601 | ua1[0]=3*num.cos(times_ref) |
---|
602 | ua1[1]=2*num.sin(times_ref-0.7) |
---|
603 | ua1[2]=num.arange(3*time_step_count,4*time_step_count) |
---|
604 | ua1[4]=2*num.ones(time_step_count) |
---|
605 | |
---|
606 | va1=num.zeros((n,time_step_count),num.float) |
---|
607 | va1[0]=2*num.cos(times_ref-0.87) |
---|
608 | va1[1]=3*num.ones(time_step_count) |
---|
609 | va1[3]=2*num.sin(times_ref-0.71) |
---|
610 | |
---|
611 | # Ensure data used to write mux file to be zero when gauges are |
---|
612 | # not recording |
---|
613 | for i in range(n): |
---|
614 | # For each point |
---|
615 | for j in range(0, first_tstep[i]-1) + range(last_tstep[i], time_step_count): |
---|
616 | # For timesteps before and after recording range |
---|
617 | ha1[i][j] = ua1[i][j] = va1[i][j] = 0.0 |
---|
618 | |
---|
619 | |
---|
620 | #print 'Second station to be written to MUX' |
---|
621 | #print 'ha', ha1[0,:] |
---|
622 | #print 'ua', ua1[0,:] |
---|
623 | #print 'va', va1[0,:] |
---|
624 | |
---|
625 | # Write second mux file to be combined by urs2sts |
---|
626 | base_nameII, filesII = self.write_mux2(lat_long_points, |
---|
627 | time_step_count, time_step, |
---|
628 | first_tstep, last_tstep, |
---|
629 | depth=gauge_depth, |
---|
630 | ha=ha1, |
---|
631 | ua=ua1, |
---|
632 | va=va1) |
---|
633 | |
---|
634 | |
---|
635 | |
---|
636 | |
---|
637 | # Read mux file back and verify it's correcness |
---|
638 | |
---|
639 | #################################################### |
---|
640 | # FIXME (Ole): This is where the test should |
---|
641 | # verify that the MUX files are correct. |
---|
642 | |
---|
643 | #JJ: It appears as though |
---|
644 | #that certain quantities are not being stored with enough precision |
---|
645 | #inn muxfile or more likely that they are being cast into a |
---|
646 | #lower precision when read in using read_mux2 Time step and q_time |
---|
647 | # are equal but only to approx 1e-7 |
---|
648 | #################################################### |
---|
649 | |
---|
650 | #define information as it should be stored in mus2 files |
---|
651 | points_num=len(lat_long_points) |
---|
652 | depth=gauge_depth |
---|
653 | ha=ha1 |
---|
654 | ua=ua1 |
---|
655 | va=va1 |
---|
656 | |
---|
657 | quantities = ['HA','UA','VA'] |
---|
658 | mux_names = [WAVEHEIGHT_MUX2_LABEL, |
---|
659 | EAST_VELOCITY_MUX2_LABEL, |
---|
660 | NORTH_VELOCITY_MUX2_LABEL] |
---|
661 | quantities_init = [[],[],[]] |
---|
662 | latlondeps = [] |
---|
663 | #irrelevant header information |
---|
664 | ig=ilon=ilat=0 |
---|
665 | mcolat=mcolon=centerlat=centerlon=offset=az=baz=id=0.0 |
---|
666 | # urs binary is latitude fastest |
---|
667 | for i,point in enumerate(lat_long_points): |
---|
668 | lat = point[0] |
---|
669 | lon = point[1] |
---|
670 | _ , e, n = redfearn(lat, lon) |
---|
671 | if depth is None: |
---|
672 | this_depth = n |
---|
673 | else: |
---|
674 | this_depth = depth[i] |
---|
675 | latlondeps.append([lat, lon, this_depth]) |
---|
676 | |
---|
677 | if ha is None: |
---|
678 | this_ha = e |
---|
679 | quantities_init[0].append(num.ones(time_step_count,num.float)*this_ha) # HA |
---|
680 | else: |
---|
681 | quantities_init[0].append(ha[i]) |
---|
682 | if ua is None: |
---|
683 | this_ua = n |
---|
684 | quantities_init[1].append(num.ones(time_step_count,num.float)*this_ua) # UA |
---|
685 | else: |
---|
686 | quantities_init[1].append(ua[i]) |
---|
687 | if va is None: |
---|
688 | this_va = e |
---|
689 | quantities_init[2].append(num.ones(time_step_count,num.float)*this_va) # |
---|
690 | else: |
---|
691 | quantities_init[2].append(va[i]) |
---|
692 | |
---|
693 | for i, q in enumerate(quantities): |
---|
694 | #print |
---|
695 | #print i, q |
---|
696 | |
---|
697 | q_time = num.zeros((time_step_count, points_num), num.float) |
---|
698 | quantities_init[i] = ensure_numeric(quantities_init[i]) |
---|
699 | for time in range(time_step_count): |
---|
700 | #print i, q, time, quantities_init[i][:,time] |
---|
701 | q_time[time,:] = quantities_init[i][:,time] |
---|
702 | #print i, q, time, q_time[time, :] |
---|
703 | |
---|
704 | |
---|
705 | filename = base_nameII + mux_names[i] |
---|
706 | f = open(filename, 'rb') |
---|
707 | assert abs(points_num-unpack('i',f.read(4))[0])<epsilon |
---|
708 | #write mux 2 header |
---|
709 | for latlondep in latlondeps: |
---|
710 | assert abs(latlondep[0]-unpack('f',f.read(4))[0])<epsilon |
---|
711 | assert abs(latlondep[1]-unpack('f',f.read(4))[0])<epsilon |
---|
712 | assert abs(mcolat-unpack('f',f.read(4))[0])<epsilon |
---|
713 | assert abs(mcolon-unpack('f',f.read(4))[0])<epsilon |
---|
714 | assert abs(ig-unpack('i',f.read(4))[0])<epsilon |
---|
715 | assert abs(ilon-unpack('i',f.read(4))[0])<epsilon |
---|
716 | assert abs(ilat-unpack('i',f.read(4))[0])<epsilon |
---|
717 | assert abs(latlondep[2]-unpack('f',f.read(4))[0])<epsilon |
---|
718 | assert abs(centerlat-unpack('f',f.read(4))[0])<epsilon |
---|
719 | assert abs(centerlon-unpack('f',f.read(4))[0])<epsilon |
---|
720 | assert abs(offset-unpack('f',f.read(4))[0])<epsilon |
---|
721 | assert abs(az-unpack('f',f.read(4))[0])<epsilon |
---|
722 | assert abs(baz-unpack('f',f.read(4))[0])<epsilon |
---|
723 | |
---|
724 | x = unpack('f', f.read(4))[0] |
---|
725 | #print time_step |
---|
726 | #print x |
---|
727 | assert abs(time_step-x)<epsilon |
---|
728 | assert abs(time_step_count-unpack('i',f.read(4))[0])<epsilon |
---|
729 | for j in range(4): # identifier |
---|
730 | assert abs(id-unpack('i',f.read(4))[0])<epsilon |
---|
731 | |
---|
732 | #first_tstep=1 |
---|
733 | #last_tstep=time_step_count |
---|
734 | for i,latlondep in enumerate(latlondeps): |
---|
735 | assert abs(first_tstep[i]-unpack('i',f.read(4))[0])<epsilon |
---|
736 | for i,latlondep in enumerate(latlondeps): |
---|
737 | assert abs(last_tstep[i]-unpack('i',f.read(4))[0])<epsilon |
---|
738 | |
---|
739 | # Find when first station starts recording |
---|
740 | min_tstep = min(first_tstep) |
---|
741 | # Find when all stations have stopped recording |
---|
742 | max_tstep = max(last_tstep) |
---|
743 | |
---|
744 | #for time in range(time_step_count): |
---|
745 | for time in range(min_tstep-1,max_tstep): |
---|
746 | assert abs(time*time_step-unpack('f',f.read(4))[0])<epsilon |
---|
747 | for point_i in range(points_num): |
---|
748 | if time+1>=first_tstep[point_i] and time+1<=last_tstep[point_i]: |
---|
749 | x = unpack('f',f.read(4))[0] |
---|
750 | #print time, x, q_time[time, point_i] |
---|
751 | if q == 'VA': x = -x # South is positive in MUX |
---|
752 | assert abs(q_time[time, point_i]-x)<epsilon |
---|
753 | |
---|
754 | f.close() |
---|
755 | |
---|
756 | # Create ordering file |
---|
757 | permutation = ensure_numeric([4,0,2]) |
---|
758 | |
---|
759 | # _, ordering_filename = tempfile.mkstemp('') |
---|
760 | # order_fid = open(ordering_filename, 'w') |
---|
761 | # order_fid.write('index, longitude, latitude\n') |
---|
762 | # for index in permutation: |
---|
763 | # order_fid.write('%d, %f, %f\n' %(index, |
---|
764 | # lat_long_points[index][1], |
---|
765 | # lat_long_points[index][0])) |
---|
766 | # order_fid.close() |
---|
767 | |
---|
768 | # ------------------------------------- |
---|
769 | # Now read files back and check values |
---|
770 | weights = ensure_numeric([1.0]) |
---|
771 | |
---|
772 | # For each quantity read the associated list of source mux2 file with |
---|
773 | # extention associated with that quantity |
---|
774 | file_params=-1*num.ones(3,num.float) # [nsta,dt,nt] |
---|
775 | OFFSET = 5 |
---|
776 | |
---|
777 | for j, file in enumerate(filesII): |
---|
778 | # Read stage, u, v enumerated as j |
---|
779 | #print 'Reading', j, file |
---|
780 | data = read_mux2(1, [file], weights, file_params, permutation, verbose) |
---|
781 | |
---|
782 | #print 'Data received by Python' |
---|
783 | #print data[1][8] |
---|
784 | number_of_selected_stations = data.shape[0] |
---|
785 | |
---|
786 | # Index where data ends and parameters begin |
---|
787 | parameters_index = data.shape[1]-OFFSET |
---|
788 | |
---|
789 | quantity=num.zeros((number_of_selected_stations, parameters_index), num.float) |
---|
790 | |
---|
791 | |
---|
792 | for i in range(number_of_selected_stations): |
---|
793 | |
---|
794 | #print i, parameters_index |
---|
795 | #print quantity[i][:] |
---|
796 | if j == 0: assert num.allclose(data[i][:parameters_index], ha1[permutation[i], :]) |
---|
797 | if j == 1: assert num.allclose(data[i][:parameters_index], ua1[permutation[i], :]) |
---|
798 | if j == 2: |
---|
799 | # FIXME (Ole): This is where the output is wrong on Win32 |
---|
800 | |
---|
801 | #print |
---|
802 | #print j, i |
---|
803 | #print 'Input' |
---|
804 | #print 'u', ua1[permutation[i], 8] |
---|
805 | #print 'v', va1[permutation[i], 8] |
---|
806 | |
---|
807 | #print 'Output' |
---|
808 | #print 'v ', data[i][:parameters_index][8] |
---|
809 | |
---|
810 | # South is positive in MUX |
---|
811 | #print "data[i][:parameters_index]", data[i][:parameters_index] |
---|
812 | #print "-va1[permutation[i], :]", -va1[permutation[i], :] |
---|
813 | assert num.allclose(data[i][:parameters_index], -va1[permutation[i], :]) |
---|
814 | |
---|
815 | self.delete_mux(filesII) |
---|
816 | |
---|
817 | def test_read_mux_platform_problem3(self): |
---|
818 | |
---|
819 | # This is to test a situation where read_mux returned |
---|
820 | # wrong values Win32 |
---|
821 | |
---|
822 | |
---|
823 | from urs_ext import read_mux2 |
---|
824 | |
---|
825 | from anuga.config import single_precision as epsilon |
---|
826 | |
---|
827 | verbose = False |
---|
828 | |
---|
829 | tide = 1.5 |
---|
830 | time_step_count = 10 |
---|
831 | time_step = 0.02 |
---|
832 | |
---|
833 | ''' |
---|
834 | Win results |
---|
835 | time_step = 0.2000001 |
---|
836 | This is OK |
---|
837 | ''' |
---|
838 | |
---|
839 | ''' |
---|
840 | Win results |
---|
841 | time_step = 0.20000001 |
---|
842 | |
---|
843 | ====================================================================== |
---|
844 | ERROR: test_read_mux_platform_problem3 (__main__.Test_Data_Manager) |
---|
845 | ---------------------------------------------------------------------- |
---|
846 | Traceback (most recent call last): |
---|
847 | File "test_data_manager.py", line 6718, in test_read_mux_platform_problem3 |
---|
848 | ha1[0]=num.sin(times_ref) |
---|
849 | ValueError: matrices are not aligned for copy |
---|
850 | |
---|
851 | ''' |
---|
852 | |
---|
853 | ''' |
---|
854 | Win results |
---|
855 | time_step = 0.200000001 |
---|
856 | FAIL |
---|
857 | assert num.allclose(data[i][:parameters_index], |
---|
858 | -va1[permutation[i], :]) |
---|
859 | ''' |
---|
860 | times_ref = num.arange(0, time_step_count*time_step, time_step) |
---|
861 | #print "times_ref", times_ref |
---|
862 | |
---|
863 | lat_long_points = [(-21.5,114.5), (-21,114.5), (-21.5,115), |
---|
864 | (-21.,115.), (-22., 117.)] |
---|
865 | stations = len(lat_long_points) |
---|
866 | |
---|
867 | # Create different timeseries starting and ending at different times |
---|
868 | first_tstep=num.ones(stations, num.int) |
---|
869 | first_tstep[0]+=2 # Point 0 starts at 2 |
---|
870 | first_tstep[1]+=4 # Point 1 starts at 4 |
---|
871 | first_tstep[2]+=3 # Point 2 starts at 3 |
---|
872 | |
---|
873 | last_tstep=(time_step_count)*num.ones(stations, num.int) |
---|
874 | last_tstep[0]-=1 # Point 0 ends 1 step early |
---|
875 | last_tstep[1]-=2 # Point 1 ends 2 steps early |
---|
876 | last_tstep[4]-=3 # Point 4 ends 3 steps early |
---|
877 | |
---|
878 | # Create varying elevation data (positive values for seafloor) |
---|
879 | gauge_depth=20*num.ones(stations, num.float) |
---|
880 | for i in range(stations): |
---|
881 | gauge_depth[i] += i**2 |
---|
882 | |
---|
883 | # Create data to be written to second mux file |
---|
884 | ha1=num.ones((stations,time_step_count), num.float) |
---|
885 | ha1[0]=num.sin(times_ref) |
---|
886 | ha1[1]=2*num.sin(times_ref - 3) |
---|
887 | ha1[2]=5*num.sin(4*times_ref) |
---|
888 | ha1[3]=num.sin(times_ref) |
---|
889 | ha1[4]=num.sin(2*times_ref-0.7) |
---|
890 | |
---|
891 | ua1=num.zeros((stations,time_step_count),num.float) |
---|
892 | ua1[0]=3*num.cos(times_ref) |
---|
893 | ua1[1]=2*num.sin(times_ref-0.7) |
---|
894 | ua1[2]=num.arange(3*time_step_count,4*time_step_count) |
---|
895 | ua1[4]=2*num.ones(time_step_count) |
---|
896 | |
---|
897 | va1=num.zeros((stations,time_step_count),num.float) |
---|
898 | va1[0]=2*num.cos(times_ref-0.87) |
---|
899 | va1[1]=3*num.ones(time_step_count) |
---|
900 | va1[3]=2*num.sin(times_ref-0.71) |
---|
901 | #print "va1[0]", va1[0] # The 8th element is what will go bad. |
---|
902 | # Ensure data used to write mux file to be zero when gauges are |
---|
903 | # not recording |
---|
904 | for i in range(stations): |
---|
905 | # For each point |
---|
906 | for j in range(0, first_tstep[i]-1) + range(last_tstep[i], |
---|
907 | time_step_count): |
---|
908 | # For timesteps before and after recording range |
---|
909 | ha1[i][j] = ua1[i][j] = va1[i][j] = 0.0 |
---|
910 | |
---|
911 | |
---|
912 | #print 'Second station to be written to MUX' |
---|
913 | #print 'ha', ha1[0,:] |
---|
914 | #print 'ua', ua1[0,:] |
---|
915 | #print 'va', va1[0,:] |
---|
916 | |
---|
917 | # Write second mux file to be combined by urs2sts |
---|
918 | base_nameII, filesII = self.write_mux2(lat_long_points, |
---|
919 | time_step_count, time_step, |
---|
920 | first_tstep, last_tstep, |
---|
921 | depth=gauge_depth, |
---|
922 | ha=ha1, |
---|
923 | ua=ua1, |
---|
924 | va=va1) |
---|
925 | #print "filesII", filesII |
---|
926 | |
---|
927 | |
---|
928 | |
---|
929 | |
---|
930 | # Read mux file back and verify it's correcness |
---|
931 | |
---|
932 | #################################################### |
---|
933 | # FIXME (Ole): This is where the test should |
---|
934 | # verify that the MUX files are correct. |
---|
935 | |
---|
936 | #JJ: It appears as though |
---|
937 | #that certain quantities are not being stored with enough precision |
---|
938 | #inn muxfile or more likely that they are being cast into a |
---|
939 | #lower precision when read in using read_mux2 Time step and q_time |
---|
940 | # are equal but only to approx 1e-7 |
---|
941 | #################################################### |
---|
942 | |
---|
943 | #define information as it should be stored in mus2 files |
---|
944 | points_num=len(lat_long_points) |
---|
945 | depth=gauge_depth |
---|
946 | ha=ha1 |
---|
947 | ua=ua1 |
---|
948 | va=va1 |
---|
949 | |
---|
950 | quantities = ['HA','UA','VA'] |
---|
951 | mux_names = [WAVEHEIGHT_MUX2_LABEL, |
---|
952 | EAST_VELOCITY_MUX2_LABEL, |
---|
953 | NORTH_VELOCITY_MUX2_LABEL] |
---|
954 | quantities_init = [[],[],[]] |
---|
955 | latlondeps = [] |
---|
956 | #irrelevant header information |
---|
957 | ig=ilon=ilat=0 |
---|
958 | mcolat=mcolon=centerlat=centerlon=offset=az=baz=id=0.0 |
---|
959 | # urs binary is latitude fastest |
---|
960 | for i,point in enumerate(lat_long_points): |
---|
961 | lat = point[0] |
---|
962 | lon = point[1] |
---|
963 | _ , e, n = redfearn(lat, lon) |
---|
964 | if depth is None: |
---|
965 | this_depth = n |
---|
966 | else: |
---|
967 | this_depth = depth[i] |
---|
968 | latlondeps.append([lat, lon, this_depth]) |
---|
969 | |
---|
970 | if ha is None: |
---|
971 | this_ha = e |
---|
972 | quantities_init[0].append(num.ones(time_step_count, |
---|
973 | num.float)*this_ha) # HA |
---|
974 | else: |
---|
975 | quantities_init[0].append(ha[i]) |
---|
976 | if ua is None: |
---|
977 | this_ua = n |
---|
978 | quantities_init[1].append(num.ones(time_step_count, |
---|
979 | num.float)*this_ua) # UA |
---|
980 | else: |
---|
981 | quantities_init[1].append(ua[i]) |
---|
982 | if va is None: |
---|
983 | this_va = e |
---|
984 | quantities_init[2].append(num.ones(time_step_count, |
---|
985 | num.float)*this_va) # |
---|
986 | else: |
---|
987 | quantities_init[2].append(va[i]) |
---|
988 | |
---|
989 | for i, q in enumerate(quantities): |
---|
990 | #print |
---|
991 | #print i, q |
---|
992 | |
---|
993 | q_time = num.zeros((time_step_count, points_num), num.float) |
---|
994 | quantities_init[i] = ensure_numeric(quantities_init[i]) |
---|
995 | for time in range(time_step_count): |
---|
996 | #print i, q, time, quantities_init[i][:,time] |
---|
997 | q_time[time,:] = quantities_init[i][:,time] |
---|
998 | #print i, q, time, q_time[time, :] |
---|
999 | |
---|
1000 | |
---|
1001 | filename = base_nameII + mux_names[i] |
---|
1002 | f = open(filename, 'rb') |
---|
1003 | assert abs(points_num-unpack('i',f.read(4))[0])<epsilon |
---|
1004 | #write mux 2 header |
---|
1005 | for latlondep in latlondeps: |
---|
1006 | assert abs(latlondep[0]-unpack('f',f.read(4))[0])<epsilon |
---|
1007 | assert abs(latlondep[1]-unpack('f',f.read(4))[0])<epsilon |
---|
1008 | assert abs(mcolat-unpack('f',f.read(4))[0])<epsilon |
---|
1009 | assert abs(mcolon-unpack('f',f.read(4))[0])<epsilon |
---|
1010 | assert abs(ig-unpack('i',f.read(4))[0])<epsilon |
---|
1011 | assert abs(ilon-unpack('i',f.read(4))[0])<epsilon |
---|
1012 | assert abs(ilat-unpack('i',f.read(4))[0])<epsilon |
---|
1013 | assert abs(latlondep[2]-unpack('f',f.read(4))[0])<epsilon |
---|
1014 | assert abs(centerlat-unpack('f',f.read(4))[0])<epsilon |
---|
1015 | assert abs(centerlon-unpack('f',f.read(4))[0])<epsilon |
---|
1016 | assert abs(offset-unpack('f',f.read(4))[0])<epsilon |
---|
1017 | assert abs(az-unpack('f',f.read(4))[0])<epsilon |
---|
1018 | assert abs(baz-unpack('f',f.read(4))[0])<epsilon |
---|
1019 | |
---|
1020 | x = unpack('f', f.read(4))[0] |
---|
1021 | #print time_step |
---|
1022 | #print x |
---|
1023 | assert abs(time_step-x)<epsilon |
---|
1024 | assert abs(time_step_count-unpack('i',f.read(4))[0])<epsilon |
---|
1025 | for j in range(4): # identifier |
---|
1026 | assert abs(id-unpack('i',f.read(4))[0])<epsilon |
---|
1027 | |
---|
1028 | #first_tstep=1 |
---|
1029 | #last_tstep=time_step_count |
---|
1030 | for i,latlondep in enumerate(latlondeps): |
---|
1031 | assert abs(first_tstep[i]-unpack('i',f.read(4))[0])<epsilon |
---|
1032 | for i,latlondep in enumerate(latlondeps): |
---|
1033 | assert abs(last_tstep[i]-unpack('i',f.read(4))[0])<epsilon |
---|
1034 | |
---|
1035 | # Find when first station starts recording |
---|
1036 | min_tstep = min(first_tstep) |
---|
1037 | # Find when all stations have stopped recording |
---|
1038 | max_tstep = max(last_tstep) |
---|
1039 | |
---|
1040 | #for time in range(time_step_count): |
---|
1041 | for time in range(min_tstep-1,max_tstep): |
---|
1042 | assert abs(time*time_step-unpack('f',f.read(4))[0])<epsilon |
---|
1043 | for point_i in range(points_num): |
---|
1044 | if time+1>=first_tstep[point_i] and time+1<=last_tstep[point_i]: |
---|
1045 | x = unpack('f',f.read(4))[0] |
---|
1046 | #print time, x, q_time[time, point_i] |
---|
1047 | if q == 'VA': x = -x # South is positive in MUX |
---|
1048 | #print q+" q_time[%d, %d] = %f" %(time, point_i, |
---|
1049 | #q_time[time, point_i]) |
---|
1050 | assert abs(q_time[time, point_i]-x)<epsilon |
---|
1051 | |
---|
1052 | f.close() |
---|
1053 | |
---|
1054 | permutation = ensure_numeric([4,0,2]) |
---|
1055 | |
---|
1056 | # Create ordering file |
---|
1057 | # _, ordering_filename = tempfile.mkstemp('') |
---|
1058 | # order_fid = open(ordering_filename, 'w') |
---|
1059 | # order_fid.write('index, longitude, latitude\n') |
---|
1060 | # for index in permutation: |
---|
1061 | # order_fid.write('%d, %f, %f\n' %(index, |
---|
1062 | # lat_long_points[index][1], |
---|
1063 | # lat_long_points[index][0])) |
---|
1064 | # order_fid.close() |
---|
1065 | |
---|
1066 | # ------------------------------------- |
---|
1067 | # Now read files back and check values |
---|
1068 | weights = ensure_numeric([1.0]) |
---|
1069 | |
---|
1070 | # For each quantity read the associated list of source mux2 file with |
---|
1071 | # extention associated with that quantity |
---|
1072 | file_params=-1*num.ones(3,num.float) # [nsta,dt,nt] |
---|
1073 | OFFSET = 5 |
---|
1074 | |
---|
1075 | for j, file in enumerate(filesII): |
---|
1076 | # Read stage, u, v enumerated as j |
---|
1077 | #print 'Reading', j, file |
---|
1078 | #print "file", file |
---|
1079 | data = read_mux2(1, [file], weights, file_params, |
---|
1080 | permutation, verbose) |
---|
1081 | #print str(j) + "data", data |
---|
1082 | |
---|
1083 | #print 'Data received by Python' |
---|
1084 | #print data[1][8] |
---|
1085 | number_of_selected_stations = data.shape[0] |
---|
1086 | #print "number_of_selected_stations", number_of_selected_stations |
---|
1087 | #print "stations", stations |
---|
1088 | |
---|
1089 | # Index where data ends and parameters begin |
---|
1090 | parameters_index = data.shape[1]-OFFSET |
---|
1091 | |
---|
1092 | for i in range(number_of_selected_stations): |
---|
1093 | |
---|
1094 | #print i, parameters_index |
---|
1095 | if j == 0: |
---|
1096 | assert num.allclose(data[i][:parameters_index], |
---|
1097 | ha1[permutation[i], :]) |
---|
1098 | |
---|
1099 | if j == 1: assert num.allclose(data[i][:parameters_index], ua1[permutation[i], :]) |
---|
1100 | if j == 2: |
---|
1101 | assert num.allclose(data[i][:parameters_index], -va1[permutation[i], :]) |
---|
1102 | |
---|
1103 | self.delete_mux(filesII) |
---|
1104 | |
---|
1105 | |
---|
1106 | |
---|
1107 | def test_urs2sts_nonstandard_projection_reverse(self): |
---|
1108 | """ |
---|
1109 | Test that a point not in the specified zone can occur first |
---|
1110 | """ |
---|
1111 | tide=0 |
---|
1112 | time_step_count = 3 |
---|
1113 | time_step = 2 |
---|
1114 | lat_long_points =[(-21.,113.5),(-21.,114.5),(-21.,114.), (-21.,115.)] |
---|
1115 | n=len(lat_long_points) |
---|
1116 | first_tstep=num.ones(n,num.int) |
---|
1117 | first_tstep[0]+=1 |
---|
1118 | first_tstep[2]+=1 |
---|
1119 | last_tstep=(time_step_count)*num.ones(n,num.int) |
---|
1120 | last_tstep[0]-=1 |
---|
1121 | |
---|
1122 | gauge_depth=20*num.ones(n,num.float) |
---|
1123 | ha=2*num.ones((n,time_step_count),num.float) |
---|
1124 | ha[0]=num.arange(0,time_step_count) |
---|
1125 | ha[1]=num.arange(time_step_count,2*time_step_count) |
---|
1126 | ha[2]=num.arange(2*time_step_count,3*time_step_count) |
---|
1127 | ha[3]=num.arange(3*time_step_count,4*time_step_count) |
---|
1128 | ua=5*num.ones((n,time_step_count),num.float) |
---|
1129 | va=-10*num.ones((n,time_step_count),num.float) |
---|
1130 | |
---|
1131 | base_name, files = self.write_mux2(lat_long_points, |
---|
1132 | time_step_count, time_step, |
---|
1133 | first_tstep, last_tstep, |
---|
1134 | depth=gauge_depth, |
---|
1135 | ha=ha, |
---|
1136 | ua=ua, |
---|
1137 | va=va) |
---|
1138 | |
---|
1139 | urs2sts(base_name, |
---|
1140 | basename_out=base_name, |
---|
1141 | zone=50, |
---|
1142 | mean_stage=tide,verbose=False) |
---|
1143 | |
---|
1144 | # now I want to check the sts file ... |
---|
1145 | sts_file = base_name + '.sts' |
---|
1146 | |
---|
1147 | #Let's interigate the sww file |
---|
1148 | # Note, the sww info is not gridded. It is point data. |
---|
1149 | fid = NetCDFFile(sts_file) |
---|
1150 | |
---|
1151 | # Make x and y absolute |
---|
1152 | x = fid.variables['x'][:] |
---|
1153 | y = fid.variables['y'][:] |
---|
1154 | |
---|
1155 | geo_reference = Geo_reference(NetCDFObject=fid) |
---|
1156 | points = geo_reference.get_absolute(map(None, x, y)) |
---|
1157 | points = ensure_numeric(points) |
---|
1158 | |
---|
1159 | x = points[:,0] |
---|
1160 | y = points[:,1] |
---|
1161 | |
---|
1162 | # Check that all coordinate are correctly represented |
---|
1163 | # Using the non standard projection (50) |
---|
1164 | for i in range(4): |
---|
1165 | zone, e, n = redfearn(lat_long_points[i][0], lat_long_points[i][1], |
---|
1166 | zone=50) |
---|
1167 | assert num.allclose([x[i],y[i]], [e,n]) |
---|
1168 | assert zone==geo_reference.zone |
---|
1169 | |
---|
1170 | self.delete_mux(files) |
---|
1171 | |
---|
1172 | |
---|
1173 | def test_urs2stsII(self): |
---|
1174 | """ |
---|
1175 | Test multiple sources |
---|
1176 | """ |
---|
1177 | tide=0 |
---|
1178 | time_step_count = 3 |
---|
1179 | time_step = 2 |
---|
1180 | lat_long_points =[(-21.5,114.5),(-21,114.5),(-21.5,115), (-21.,115.)] |
---|
1181 | n=len(lat_long_points) |
---|
1182 | first_tstep=num.ones(n,num.int) |
---|
1183 | first_tstep[0]+=1 |
---|
1184 | first_tstep[2]+=1 |
---|
1185 | last_tstep=(time_step_count)*num.ones(n,num.int) |
---|
1186 | last_tstep[0]-=1 |
---|
1187 | |
---|
1188 | gauge_depth=20*num.ones(n,num.float) |
---|
1189 | ha=2*num.ones((n,time_step_count),num.float) |
---|
1190 | ha[0]=num.arange(0,time_step_count) |
---|
1191 | ha[1]=num.arange(time_step_count,2*time_step_count) |
---|
1192 | ha[2]=num.arange(2*time_step_count,3*time_step_count) |
---|
1193 | ha[3]=num.arange(3*time_step_count,4*time_step_count) |
---|
1194 | ua=5*num.ones((n,time_step_count),num.float) |
---|
1195 | va=-10*num.ones((n,time_step_count),num.float) |
---|
1196 | |
---|
1197 | # Create two identical mux files to be combined by urs2sts |
---|
1198 | base_nameI, filesI = self.write_mux2(lat_long_points, |
---|
1199 | time_step_count, time_step, |
---|
1200 | first_tstep, last_tstep, |
---|
1201 | depth=gauge_depth, |
---|
1202 | ha=ha, |
---|
1203 | ua=ua, |
---|
1204 | va=va) |
---|
1205 | |
---|
1206 | base_nameII, filesII = self.write_mux2(lat_long_points, |
---|
1207 | time_step_count, time_step, |
---|
1208 | first_tstep, last_tstep, |
---|
1209 | depth=gauge_depth, |
---|
1210 | ha=ha, |
---|
1211 | ua=ua, |
---|
1212 | va=va) |
---|
1213 | |
---|
1214 | # Call urs2sts with multiple mux files |
---|
1215 | urs2sts([base_nameI, base_nameII], |
---|
1216 | basename_out=base_nameI, |
---|
1217 | weights=[1.0, 1.0], |
---|
1218 | mean_stage=tide, |
---|
1219 | verbose=False) |
---|
1220 | |
---|
1221 | # now I want to check the sts file ... |
---|
1222 | sts_file = base_nameI + '.sts' |
---|
1223 | |
---|
1224 | #Let's interrogate the sts file |
---|
1225 | # Note, the sts info is not gridded. It is point data. |
---|
1226 | fid = NetCDFFile(sts_file) |
---|
1227 | |
---|
1228 | # Make x and y absolute |
---|
1229 | x = fid.variables['x'][:] |
---|
1230 | y = fid.variables['y'][:] |
---|
1231 | |
---|
1232 | geo_reference = Geo_reference(NetCDFObject=fid) |
---|
1233 | points = geo_reference.get_absolute(map(None, x, y)) |
---|
1234 | points = ensure_numeric(points) |
---|
1235 | |
---|
1236 | x = points[:,0] |
---|
1237 | y = points[:,1] |
---|
1238 | |
---|
1239 | #Check that first coordinate is correctly represented |
---|
1240 | #Work out the UTM coordinates for first point |
---|
1241 | zone, e, n = redfearn(lat_long_points[0][0], lat_long_points[0][1]) |
---|
1242 | assert num.allclose([x[0],y[0]], [e,n]) |
---|
1243 | |
---|
1244 | #Check the time vector |
---|
1245 | times = fid.variables['time'][:] |
---|
1246 | |
---|
1247 | times_actual = [] |
---|
1248 | for i in range(time_step_count): |
---|
1249 | times_actual.append(time_step * i) |
---|
1250 | |
---|
1251 | assert num.allclose(ensure_numeric(times), |
---|
1252 | ensure_numeric(times_actual)) |
---|
1253 | |
---|
1254 | #Check first value |
---|
1255 | stage = fid.variables['stage'][:] |
---|
1256 | xmomentum = fid.variables['xmomentum'][:] |
---|
1257 | ymomentum = fid.variables['ymomentum'][:] |
---|
1258 | elevation = fid.variables['elevation'][:] |
---|
1259 | |
---|
1260 | # Set original data used to write mux file to be zero when gauges are |
---|
1261 | # not recdoring |
---|
1262 | |
---|
1263 | ha[0][0]=0.0 |
---|
1264 | ha[0][time_step_count-1]=0.0 |
---|
1265 | ha[2][0]=0.0 |
---|
1266 | ua[0][0]=0.0 |
---|
1267 | ua[0][time_step_count-1]=0.0 |
---|
1268 | ua[2][0]=0.0 |
---|
1269 | va[0][0]=0.0 |
---|
1270 | va[0][time_step_count-1]=0.0 |
---|
1271 | va[2][0]=0.0; |
---|
1272 | |
---|
1273 | # The stage stored in the .sts file should be the sum of the stage |
---|
1274 | # in the two mux2 files because both have weights = 1. In this case |
---|
1275 | # the mux2 files are the same so stage == 2.0 * ha |
---|
1276 | #print 2.0*num.transpose(ha) - stage |
---|
1277 | assert num.allclose(2.0*num.transpose(ha), stage) #Meters |
---|
1278 | |
---|
1279 | #Check the momentums - ua |
---|
1280 | #momentum = velocity*(stage-elevation) |
---|
1281 | # elevation = - depth |
---|
1282 | #momentum = velocity_ua *(stage+depth) |
---|
1283 | |
---|
1284 | depth=num.zeros((len(lat_long_points),time_step_count),num.float) |
---|
1285 | for i in range(len(lat_long_points)): |
---|
1286 | depth[i]=gauge_depth[i]+tide+2.0*ha[i] |
---|
1287 | #2.0*ha necessary because using two files with weights=1 are used |
---|
1288 | |
---|
1289 | # The xmomentum stored in the .sts file should be the sum of the ua |
---|
1290 | # in the two mux2 files multiplied by the depth. |
---|
1291 | assert num.allclose(2.0*num.transpose(ua*depth), xmomentum) |
---|
1292 | |
---|
1293 | #Check the momentums - va |
---|
1294 | #momentum = velocity*(stage-elevation) |
---|
1295 | # elevation = - depth |
---|
1296 | #momentum = velocity_va *(stage+depth) |
---|
1297 | |
---|
1298 | # The ymomentum stored in the .sts file should be the sum of the va |
---|
1299 | # in the two mux2 files multiplied by the depth. |
---|
1300 | assert num.allclose(2.0*num.transpose(va*depth), ymomentum) |
---|
1301 | |
---|
1302 | # check the elevation values. |
---|
1303 | # -ve since urs measures depth, sww meshers height, |
---|
1304 | assert num.allclose(-elevation, gauge_depth) #Meters |
---|
1305 | |
---|
1306 | fid.close() |
---|
1307 | self.delete_mux(filesI) |
---|
1308 | self.delete_mux(filesII) |
---|
1309 | os.remove(sts_file) |
---|
1310 | |
---|
1311 | |
---|
1312 | def test_urs2sts0(self): |
---|
1313 | """ |
---|
1314 | Test single source |
---|
1315 | """ |
---|
1316 | tide=0 |
---|
1317 | time_step_count = 3 |
---|
1318 | time_step = 2 |
---|
1319 | lat_long_points =[(-21.5,114.5),(-21,114.5),(-21.5,115), (-21.,115.)] |
---|
1320 | n=len(lat_long_points) |
---|
1321 | first_tstep=num.ones(n,num.int) |
---|
1322 | first_tstep[0]+=1 |
---|
1323 | first_tstep[2]+=1 |
---|
1324 | last_tstep=(time_step_count)*num.ones(n,num.int) |
---|
1325 | last_tstep[0]-=1 |
---|
1326 | |
---|
1327 | gauge_depth=20*num.ones(n,num.float) |
---|
1328 | ha=2*num.ones((n,time_step_count),num.float) |
---|
1329 | ha[0]=num.arange(0,time_step_count) |
---|
1330 | ha[1]=num.arange(time_step_count,2*time_step_count) |
---|
1331 | ha[2]=num.arange(2*time_step_count,3*time_step_count) |
---|
1332 | ha[3]=num.arange(3*time_step_count,4*time_step_count) |
---|
1333 | ua=5*num.ones((n,time_step_count),num.float) |
---|
1334 | va=-10*num.ones((n,time_step_count),num.float) |
---|
1335 | |
---|
1336 | base_name, files = self.write_mux2(lat_long_points, |
---|
1337 | time_step_count, time_step, |
---|
1338 | first_tstep, last_tstep, |
---|
1339 | depth=gauge_depth, |
---|
1340 | ha=ha, |
---|
1341 | ua=ua, |
---|
1342 | va=va) |
---|
1343 | |
---|
1344 | urs2sts(base_name, |
---|
1345 | basename_out=base_name, |
---|
1346 | mean_stage=tide,verbose=False) |
---|
1347 | |
---|
1348 | # now I want to check the sts file ... |
---|
1349 | sts_file = base_name + '.sts' |
---|
1350 | |
---|
1351 | #Let's interigate the sww file |
---|
1352 | # Note, the sww info is not gridded. It is point data. |
---|
1353 | fid = NetCDFFile(sts_file) |
---|
1354 | |
---|
1355 | # Make x and y absolute |
---|
1356 | x = fid.variables['x'][:] |
---|
1357 | y = fid.variables['y'][:] |
---|
1358 | |
---|
1359 | geo_reference = Geo_reference(NetCDFObject=fid) |
---|
1360 | points = geo_reference.get_absolute(map(None, x, y)) |
---|
1361 | points = ensure_numeric(points) |
---|
1362 | |
---|
1363 | x = points[:,0] |
---|
1364 | y = points[:,1] |
---|
1365 | |
---|
1366 | #Check that first coordinate is correctly represented |
---|
1367 | #Work out the UTM coordinates for first point |
---|
1368 | for i in range(4): |
---|
1369 | zone, e, n = redfearn(lat_long_points[i][0], lat_long_points[i][1]) |
---|
1370 | assert num.allclose([x[i],y[i]], [e,n]) |
---|
1371 | |
---|
1372 | #Check the time vector |
---|
1373 | times = fid.variables['time'][:] |
---|
1374 | |
---|
1375 | times_actual = [] |
---|
1376 | for i in range(time_step_count): |
---|
1377 | times_actual.append(time_step * i) |
---|
1378 | |
---|
1379 | assert num.allclose(ensure_numeric(times), |
---|
1380 | ensure_numeric(times_actual)) |
---|
1381 | |
---|
1382 | #Check first value |
---|
1383 | stage = fid.variables['stage'][:] |
---|
1384 | xmomentum = fid.variables['xmomentum'][:] |
---|
1385 | ymomentum = fid.variables['ymomentum'][:] |
---|
1386 | elevation = fid.variables['elevation'][:] |
---|
1387 | |
---|
1388 | # Set original data used to write mux file to be zero when gauges are |
---|
1389 | #not recdoring |
---|
1390 | ha[0][0]=0.0 |
---|
1391 | ha[0][time_step_count-1]=0.0; |
---|
1392 | ha[2][0]=0.0; |
---|
1393 | ua[0][0]=0.0 |
---|
1394 | ua[0][time_step_count-1]=0.0; |
---|
1395 | ua[2][0]=0.0; |
---|
1396 | va[0][0]=0.0 |
---|
1397 | va[0][time_step_count-1]=0.0; |
---|
1398 | va[2][0]=0.0; |
---|
1399 | |
---|
1400 | assert num.allclose(num.transpose(ha),stage) #Meters |
---|
1401 | |
---|
1402 | #Check the momentums - ua |
---|
1403 | #momentum = velocity*(stage-elevation) |
---|
1404 | # elevation = - depth |
---|
1405 | #momentum = velocity_ua *(stage+depth) |
---|
1406 | |
---|
1407 | depth=num.zeros((len(lat_long_points),time_step_count),num.float) |
---|
1408 | for i in range(len(lat_long_points)): |
---|
1409 | depth[i]=gauge_depth[i]+tide+ha[i] |
---|
1410 | assert num.allclose(num.transpose(ua*depth),xmomentum) |
---|
1411 | |
---|
1412 | #Check the momentums - va |
---|
1413 | #momentum = velocity*(stage-elevation) |
---|
1414 | # elevation = - depth |
---|
1415 | #momentum = velocity_va *(stage+depth) |
---|
1416 | |
---|
1417 | assert num.allclose(num.transpose(va*depth),ymomentum) |
---|
1418 | |
---|
1419 | # check the elevation values. |
---|
1420 | # -ve since urs measures depth, sww meshers height, |
---|
1421 | assert num.allclose(-elevation, gauge_depth) #Meters |
---|
1422 | |
---|
1423 | fid.close() |
---|
1424 | self.delete_mux(files) |
---|
1425 | os.remove(sts_file) |
---|
1426 | |
---|
1427 | def test_urs2sts_nonstandard_meridian(self): |
---|
1428 | """ |
---|
1429 | Test single source using the meridian from zone 50 as a nonstandard meridian |
---|
1430 | """ |
---|
1431 | tide=0 |
---|
1432 | time_step_count = 3 |
---|
1433 | time_step = 2 |
---|
1434 | lat_long_points =[(-21.,114.5),(-21.,113.5),(-21.,114.), (-21.,115.)] |
---|
1435 | n=len(lat_long_points) |
---|
1436 | first_tstep=num.ones(n,num.int) |
---|
1437 | first_tstep[0]+=1 |
---|
1438 | first_tstep[2]+=1 |
---|
1439 | last_tstep=(time_step_count)*num.ones(n,num.int) |
---|
1440 | last_tstep[0]-=1 |
---|
1441 | |
---|
1442 | gauge_depth=20*num.ones(n,num.float) |
---|
1443 | ha=2*num.ones((n,time_step_count),num.float) |
---|
1444 | ha[0]=num.arange(0,time_step_count) |
---|
1445 | ha[1]=num.arange(time_step_count,2*time_step_count) |
---|
1446 | ha[2]=num.arange(2*time_step_count,3*time_step_count) |
---|
1447 | ha[3]=num.arange(3*time_step_count,4*time_step_count) |
---|
1448 | ua=5*num.ones((n,time_step_count),num.float) |
---|
1449 | va=-10*num.ones((n,time_step_count),num.float) |
---|
1450 | |
---|
1451 | base_name, files = self.write_mux2(lat_long_points, |
---|
1452 | time_step_count, time_step, |
---|
1453 | first_tstep, last_tstep, |
---|
1454 | depth=gauge_depth, |
---|
1455 | ha=ha, |
---|
1456 | ua=ua, |
---|
1457 | va=va) |
---|
1458 | |
---|
1459 | urs2sts(base_name, |
---|
1460 | basename_out=base_name, |
---|
1461 | central_meridian=123, |
---|
1462 | mean_stage=tide, |
---|
1463 | verbose=False) |
---|
1464 | |
---|
1465 | # now I want to check the sts file ... |
---|
1466 | sts_file = base_name + '.sts' |
---|
1467 | |
---|
1468 | #Let's interigate the sww file |
---|
1469 | # Note, the sww info is not gridded. It is point data. |
---|
1470 | fid = NetCDFFile(sts_file) |
---|
1471 | |
---|
1472 | # Make x and y absolute |
---|
1473 | x = fid.variables['x'][:] |
---|
1474 | y = fid.variables['y'][:] |
---|
1475 | |
---|
1476 | geo_reference = Geo_reference(NetCDFObject=fid) |
---|
1477 | points = geo_reference.get_absolute(map(None, x, y)) |
---|
1478 | points = ensure_numeric(points) |
---|
1479 | |
---|
1480 | x = points[:,0] |
---|
1481 | y = points[:,1] |
---|
1482 | |
---|
1483 | # Check that all coordinate are correctly represented |
---|
1484 | # Using the non standard projection (50) |
---|
1485 | for i in range(4): |
---|
1486 | zone, e, n = redfearn(lat_long_points[i][0], |
---|
1487 | lat_long_points[i][1], |
---|
1488 | central_meridian=123) |
---|
1489 | assert num.allclose([x[i],y[i]], [e,n]) |
---|
1490 | assert zone==-1 |
---|
1491 | |
---|
1492 | self.delete_mux(files) |
---|
1493 | |
---|
1494 | def test_Urs_points(self): |
---|
1495 | time_step_count = 3 |
---|
1496 | time_step = 2 |
---|
1497 | lat_long_points =[(-21.5,114.5),(-21.5,115),(-21.,115)] |
---|
1498 | base_name, files = self.write_mux(lat_long_points, |
---|
1499 | time_step_count, time_step) |
---|
1500 | for file in files: |
---|
1501 | urs = Read_urs(file) |
---|
1502 | assert time_step_count == urs.time_step_count |
---|
1503 | assert time_step == urs.time_step |
---|
1504 | |
---|
1505 | for lat_lon, dep in map(None, lat_long_points, urs.lonlatdep): |
---|
1506 | _ , e, n = redfearn(lat_lon[0], lat_lon[1]) |
---|
1507 | assert num.allclose(n, dep[2]) |
---|
1508 | |
---|
1509 | count = 0 |
---|
1510 | for slice in urs: |
---|
1511 | count += 1 |
---|
1512 | #print slice |
---|
1513 | for lat_lon, quantity in map(None, lat_long_points, slice): |
---|
1514 | _ , e, n = redfearn(lat_lon[0], lat_lon[1]) |
---|
1515 | #print "quantity", quantity |
---|
1516 | #print "e", e |
---|
1517 | #print "n", n |
---|
1518 | if file[-5:] == WAVEHEIGHT_MUX_LABEL[-5:] or \ |
---|
1519 | file[-5:] == NORTH_VELOCITY_LABEL[-5:] : |
---|
1520 | assert num.allclose(e, quantity) |
---|
1521 | if file[-5:] == EAST_VELOCITY_LABEL[-5:]: |
---|
1522 | assert num.allclose(n, quantity) |
---|
1523 | assert count == time_step_count |
---|
1524 | |
---|
1525 | self.delete_mux(files) |
---|
1526 | |
---|
1527 | |
---|
1528 | |
---|
1529 | |
---|
1530 | ################################################################################ |
---|
1531 | |
---|
1532 | if __name__ == "__main__": |
---|
1533 | suite = unittest.makeSuite(Test_Mux,'test') |
---|
1534 | runner = unittest.TextTestRunner() #verbosity=2) |
---|
1535 | runner.run(suite) |
---|
1536 | |
---|