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1 ; *********************************************** |
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2 ; xy_4.ncl |
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3 ; *********************************************** |
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4 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl" |
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5 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl" |
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6 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl" |
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7 ;************************************************ |
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8 begin |
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9 ;************************************************ |
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10 ; read in data: observed |
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11 ;************************************************ |
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12 diri = "/fis/cgd/cseg/people/jeff/clamp_data/co2/" |
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13 fili = "co2_globalView_98.nc" |
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14 g = addfile (diri+fili,"r") |
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15 val = g->CO2_SEAS |
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16 lon = g->LON |
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17 lat = g->LAT |
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18 sta = chartostring(g->STATION) |
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19 delete (g) |
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20 |
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21 ;print (sta(0)) |
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22 |
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23 ncase = dimsizes(lat) |
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24 ;print (ncase) |
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25 |
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26 ;************************************************************** |
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27 ; get only the lowest level at each station |
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28 ;************************************************************** |
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29 lat_tmp = lat |
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30 lat_tmp@_FillValue = 1.e+36 |
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31 |
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32 do n = 0,ncase-1 |
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33 if (.not. ismissing(lat_tmp(n))) then |
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34 indexes = ind(lat(n) .eq. lat .and. lon(n) .eq. lon) |
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35 if (dimsizes(indexes) .gt. 1) then |
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36 lat_tmp(indexes(1:)) = lat_tmp@_FillValue |
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37 end if |
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38 delete (indexes) |
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39 end if |
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40 end do |
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41 |
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42 indexes = ind(.not. ismissing(lat_tmp)) |
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43 ;print (dimsizes(indexes)) |
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44 ;print (indexes) |
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45 |
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46 lat_ob = lat(indexes) |
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47 lon_ob = lon(indexes) |
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48 val_ob = val(indexes,:) |
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49 ;printVarSummary (val_ob) |
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50 ;print (lat_ob +"/"+lon_ob) |
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51 |
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52 ;************************************************ |
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53 ; read in model data |
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54 ;************************************************ |
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55 diri2 = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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56 fili2 = "b30.061m_401_425_MONS_climo.nc" |
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57 |
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58 g = addfile(diri2+fili2,"r") |
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59 x = g->CO2 |
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60 xi = g->lon |
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61 yi = g->lat |
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62 xdim = dimsizes(x) |
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63 nlev = xdim(1) |
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64 y = x(:,0,:,:) |
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65 ; printVarSummary (y) |
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66 |
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67 ; get the co2 at the lowest level |
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68 y = x(:,nlev-1,:,:) |
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69 |
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70 ; change to unit of observed (u mol/mol) |
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71 ; Model_units [=] kgCO2 / kgDryAir |
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72 ; 28.966 = molecular weight of dry air |
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73 ; 44. = molecular weight of CO2 |
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74 ; u mol = 1e-6 mol |
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75 |
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76 factor = (28.966/44.) * 1e6 |
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77 y = y * factor |
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78 |
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79 y@_FillValue = 1.e36 |
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80 y@units = "u mol/mol" |
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81 ; y = where(y0 .lt. 287.,y@_FillValue,y) |
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82 ; printVarSummary (y) |
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83 ; print (min(y)+"/"+max(y)) |
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84 |
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85 ; interpolate into observed station |
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86 ; note: model is 0-360E, 90S-90N |
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87 |
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88 i = ind(lon_ob .lt. 0.) |
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89 lon_ob(i) = lon_ob(i) + 360. |
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90 |
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91 yo = linint2_points_Wrap(xi,yi,y,True,lon_ob,lat_ob,0) |
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92 |
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93 val_model = val_ob |
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94 val_model = yo(pts|:,time|:) |
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95 ; printVarSummary (val_model) |
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96 ; print (min(val_model)+"/"+max(val_model)) |
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97 |
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98 ; remove annual mean |
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99 val_model = val_model - conform(val_model,dim_avg(val_model),0) |
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100 ; print (min(val_model)+"/"+max(val_model)) |
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101 |
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102 nzone = 4 |
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103 do z = 0,nzone-1 |
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104 |
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105 if (z .eq. 0) then |
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106 ; maximum score for the zone, 60N-90N |
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107 score_max = 5.0 |
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108 ; index of stations in this zone |
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109 ind_z = ind(lat_ob .ge. 60.) |
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110 ; print (ind_z) |
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111 ; print (lat_ob(ind_z)+"/"+lon_ob(ind_z)) |
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112 ; print (val_ob(ind_z,:)) |
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113 ; print (val_model(ind_z,:)) |
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114 end if |
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115 |
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116 if (z .eq. 1) then |
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117 ; maximum score for the zone, 30N-60N |
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118 score_max = 5.0 |
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119 ; index of stations in this zone |
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120 ind_z = ind(lat_ob .ge. 30. .and. lat_ob .lt. 60.) |
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121 ; print (ind_z) |
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122 ; print (lat_ob(ind_z)+"/"+lon_ob(ind_z)) |
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123 ; print (val_ob(ind_z,:)) |
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124 ; print (val_model(ind_z,:)) |
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125 end if |
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126 |
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127 if (z .eq. 2) then |
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128 ; maximum score for the zone, EQ-30N |
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129 score_max = 5.0 |
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130 ; index of stations in this zone |
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131 ind_z = ind(lat_ob .ge. 0. .and. lat_ob .lt. 30.) |
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132 ; print (ind_z) |
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133 ; print (lat_ob(ind_z)+"/"+lon_ob(ind_z)) |
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134 ; print (val_ob(ind_z,:)) |
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135 ; print (val_model(ind_z,:)) |
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136 end if |
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137 |
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138 if (z .eq. 3) then |
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139 ; maximum score for the zone, 90S-EQ |
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140 score_max = 5.0 |
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141 ; index of stations in this zone |
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142 ind_z = ind(lat_ob .lt. 0. ) |
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143 ; print (ind_z) |
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144 ; print (lat_ob(ind_z)+"/"+lon_ob(ind_z)) |
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145 ; print (val_ob(ind_z,:)) |
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146 ; print (val_model(ind_z,:)) |
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147 end if |
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148 |
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149 u = ndtooned(val_ob(ind_z,:)) |
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150 v = ndtooned(val_model(ind_z,:)) |
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151 |
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152 good = ind(.not.ismissing(u) .and. .not.ismissing(v)) |
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153 |
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154 uu = u(good) |
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155 vv = v(good) |
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156 st = sta(ind_z) |
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157 |
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158 npts = dimsizes(st) |
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159 print (npts) |
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160 |
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161 ccr = esccr(uu,vv,0) |
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162 ;print (ccr) |
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163 |
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164 un = onedtond(uu,(/npts,12/)) |
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165 vn = onedtond(vv,(/npts,12/)) |
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166 ;print (un) |
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167 ;print (vn) |
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168 |
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169 score = new((/npts/),float) |
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170 |
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171 do n=0,npts-1 |
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172 amp_ob = max(un(n,:)) - min(un(n,:)) |
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173 amp_model = max(vn(n,:)) - min(vn(n,:)) |
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174 score(n) = 1.-abs((amp_model/amp_ob)-1.) |
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175 ; print (amp_ob) |
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176 ; print (amp_model) |
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177 end do |
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178 ;print (score) |
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179 |
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180 M = avg(score) |
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181 print (M) |
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182 |
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183 M_total = (ccr*ccr + M)*0.5 * score_max |
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184 print (M_total) |
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185 |
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186 delete (ind_z) |
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187 delete (good) |
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188 delete (u) |
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189 delete (v) |
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190 delete (uu) |
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191 delete (vv) |
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192 delete (un) |
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193 delete (vn) |
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194 delete (st) |
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195 delete (score) |
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196 end do |
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197 end |