Mercurial > dive4elements > river
annotate flys-artifacts/src/main/java/de/intevation/flys/artifacts/model/WstValueTable.java @ 424:82bd39f27569
ISSUE-37 The river state wants to be rendered using a river_panel UI provider.
flys-artifacts/trunk@1915 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Ingo Weinzierl <ingo.weinzierl@intevation.de> |
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date | Fri, 13 May 2011 08:00:58 +0000 |
parents | aae8f327425e |
children | c6b7ca0febcb |
rev | line source |
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1 package de.intevation.flys.artifacts.model; |
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2 |
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3 import java.io.Serializable; |
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4 |
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5 import de.intevation.flys.model.River; |
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6 import de.intevation.flys.model.Wst; |
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7 import de.intevation.flys.model.WstColumn; |
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8 |
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9 import de.intevation.flys.artifacts.cache.CacheFactory; |
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10 |
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11 import de.intevation.flys.backend.SessionHolder; |
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12 |
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13 import java.util.Arrays; |
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14 import java.util.ArrayList; |
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15 import java.util.Comparator; |
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16 import java.util.List; |
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17 import java.util.Collections; |
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18 |
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19 import org.apache.log4j.Logger; |
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20 |
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21 import org.apache.commons.math.analysis.interpolation.SplineInterpolator; |
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22 |
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23 import org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction; |
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24 |
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25 import org.apache.commons.math.ArgumentOutsideDomainException; |
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26 |
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27 import org.hibernate.Session; |
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28 import org.hibernate.Query; |
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29 import org.hibernate.SQLQuery; |
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30 |
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31 import org.hibernate.type.StandardBasicTypes; |
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32 |
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33 import net.sf.ehcache.Cache; |
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34 import net.sf.ehcache.Element; |
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35 |
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36 public class WstValueTable |
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37 implements Serializable |
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38 { |
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39 private static Logger log = Logger.getLogger(WstValueTable.class); |
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40 |
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41 public static final String CACHE_NAME = "wst-value-table"; |
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42 |
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43 // TODO: put this into a property file |
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44 public static final String SQL_POS_WQ = |
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45 "SELECT position, w, q, column_pos" + |
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46 " FROM wst_value_table" + |
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47 " WHERE wst_id = :wst_id"; |
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48 |
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49 public static final int DEFAULT_Q_STEPS = 500; |
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50 |
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51 public static class Column |
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52 implements Serializable |
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53 { |
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54 protected String name; |
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55 |
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56 public Column() { |
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57 } |
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58 |
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59 public Column(String name) { |
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60 this.name = name; |
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61 } |
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62 |
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63 public String getName() { |
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64 return name; |
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65 } |
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66 |
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67 public void setName(String name) { |
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68 this.name = name; |
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69 } |
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70 } |
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71 // class Column |
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72 |
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73 public static class Row |
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74 implements Serializable, Comparable<Row> |
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75 { |
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76 double km; |
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77 double [] ws; |
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78 double [] qs; |
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79 boolean qSorted; |
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80 |
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81 public Row() { |
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82 } |
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83 |
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84 public Row(double km) { |
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85 this.km = km; |
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86 } |
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87 |
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88 public Row(double km, double [] ws, double [] qs) { |
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89 this(km); |
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90 this.ws = ws; |
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91 this.qs = qs; |
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92 } |
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93 |
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94 public static final double linear( |
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95 double x, |
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96 double x1, double x2, |
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97 double y1, double y2 |
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98 ) { |
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99 // y1 = m*x1 + b |
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100 // y2 = m*x2 + b |
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101 // y2 - y1 = m*(x2 - x1) |
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102 // m = (y2 - y1)/(x2 - x1) # x2 != x1 |
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103 // b = y1 - m*x1 |
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104 |
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105 if (x1 == x2) { |
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106 return 0.5*(y1 + y2); |
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107 } |
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108 double m = (y2 - y1)/(x2 - x1); |
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109 double b = y1 - m*x1; |
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110 return x*m + b; |
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111 } |
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112 |
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113 public static final double factor(double x, double p1, double p2) { |
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114 // 0 = m*p1 + b <=> b = -m*p1 |
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115 // 1 = m*p2 + b |
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116 // 1 = m*(p2 - p1) |
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117 // m = 1/(p2 - p1) # p1 != p2 |
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118 // f(x) = x/(p2-p1) - p1/(p2-p1) <=> (x-p1)/(p2-p1) |
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119 |
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120 return p1 == p2 ? 0.0 : (x-p1)/(p2-p1); |
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121 } |
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122 |
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123 public static final double weight(double factor, double a, double b) { |
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124 return (1.0-factor)*a + factor*b; |
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125 } |
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126 |
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127 public double getWForKM(Row other, int index, double km) { |
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128 double w1 = ws[index]; |
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129 double w2 = other.ws[index]; |
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130 double km1 = this.km; |
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131 double km2 = other.km; |
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132 return linear(km, km1, km2, w1, w2); |
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133 } |
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134 |
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135 public void interpolateW( |
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136 Row other, |
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137 double km, |
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138 double [] input, |
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139 double [] output |
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140 ) { |
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141 double factor = factor(km, this.km, other.km); |
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142 |
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143 for (int i = 0; i < input.length; ++i) { |
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144 double q = input[i]; |
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145 int idx1 = getQIndex(q); |
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146 int idx2 = other.getQIndex(q); |
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147 |
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148 double w1 = idx1 >= 0 |
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149 ? ws[idx1] |
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150 : interpolateW(-idx1-1, q); |
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151 |
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152 double w2 = idx2 >= 0 |
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153 ? other.ws[idx2] |
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154 : other.interpolateW(-idx2-1, q); |
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155 |
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156 output[i] = weight(factor, w1, w2); |
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157 } |
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158 } |
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159 |
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160 public double interpolateW(int idx, double q) { |
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161 return idx < 1 || idx >= qs.length |
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162 ? Double.NaN // do not extrapolate |
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163 : linear(q, qs[idx-1], qs[idx], ws[idx-1], ws[idx]); |
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164 } |
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165 |
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166 public double interpolateW(double q) { |
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167 if (Double.isNaN(q)) return Double.NaN; |
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168 int index = getQIndex(q); |
360
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Bugfix: Removed endless loop and a bug while iterating over Hibernate results.
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169 return index >= 0 ? ws[index] : interpolateW(-index -1, q); |
335
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170 } |
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171 |
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172 public int getQIndex(double q) { |
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173 return qSorted ? binaryQIndex(q) : linearQIndex(q); |
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174 } |
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175 |
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176 public int binaryQIndex(double q) { |
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177 return Arrays.binarySearch(qs, q); |
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178 } |
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179 |
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180 public int linearQIndex(double q) { |
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181 switch (qs.length) { |
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182 case 0: break; |
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183 case 1: |
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184 if (qs[0] == q) return 0; |
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185 if (qs[0] < q) return -(1+1); |
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186 return -(0+1); |
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187 default: |
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188 for (int i = 1; i < qs.length; ++i) { |
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189 double qa = qs[i-1]; |
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190 double qb = qs[i]; |
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191 if (qa == q) return i-1; |
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192 if (qb == q) return i; |
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193 if (qa > qb) { double t = qa; qa = qb; qb = t; } |
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194 if (q > qa && q < qb) return -(i+1); |
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195 } |
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196 return -qs.length; |
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197 } |
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198 |
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199 return -1; |
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200 } |
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201 |
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202 public int compareTo(Row other) { |
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203 double d = km - other.km; |
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204 if (d < 0.0) return -1; |
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205 if (d > 0.0) return +1; |
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206 return 0; |
326
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207 } |
339
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208 |
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209 public double [][] cloneWQs() { |
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210 return new double [][] { |
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211 (double [])ws.clone(), |
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212 (double [])qs.clone() }; |
339
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213 } |
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214 |
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215 public double [][] interpolateWQ(Row other, double km, int steps) { |
339
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216 |
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217 int W = Math.min(ws.length, other.ws.length); |
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218 |
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219 if (W < 1) { |
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220 return new double[2][0]; |
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221 } |
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222 |
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223 double factor = factor(km, this.km, other.km); |
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224 |
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225 double [] splineQ = new double[W]; |
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226 double [] splineW = new double[W]; |
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227 |
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228 double minQ = Double.MAX_VALUE; |
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229 double maxQ = -Double.MAX_VALUE; |
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230 |
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231 for (int i = 0; i < W; ++i) { |
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232 double wws = weight(factor, ws[i], other.ws[i]); |
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233 double wqs = weight(factor, qs[i], other.qs[i]); |
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234 splineW[i] = wws; |
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235 splineQ[i] = wqs; |
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236 if (wqs < minQ) minQ = wqs; |
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237 if (wqs > maxQ) maxQ = wqs; |
339
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238 } |
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239 |
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240 double stepWidth = (maxQ - minQ)/steps; |
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241 |
339
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242 SplineInterpolator interpolator = new SplineInterpolator(); |
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243 PolynomialSplineFunction spline = |
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244 interpolator.interpolate(splineQ, splineW); |
339
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245 |
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246 double [] outWs = new double[steps]; |
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247 double [] outQs = new double[steps]; |
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248 |
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249 try { |
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250 double q = minQ; |
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251 for (int i = 0; i < outWs.length; ++i, q += stepWidth) { |
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252 outWs[i] = spline.value(outQs[i] = q); |
339
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253 } |
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254 } |
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255 catch (ArgumentOutsideDomainException aode) { |
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256 log.error("Spline interpolation failed.", aode); |
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257 } |
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258 |
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259 return new double [][] { outWs, outQs }; |
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260 } |
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261 |
395
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262 public double [][] interpolateWQ(int steps) { |
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263 |
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264 int W = ws.length; |
339
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265 |
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266 if (W < 1) { |
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267 return new double[2][0]; |
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268 } |
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269 |
395
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270 double [] splineW = new double[W]; |
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271 double [] splineQ = new double[W]; |
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272 |
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273 double minQ = Double.MAX_VALUE; |
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274 double maxQ = -Double.MAX_VALUE; |
339
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275 |
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276 for (int i = 0; i < W; ++i) { |
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277 splineW[i] = ws[i]; |
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278 splineQ[i] = qs[i]; |
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279 if (qs[i] < minQ) minQ = qs[i]; |
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280 if (qs[i] > maxQ) maxQ = qs[i]; |
339
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281 } |
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282 |
395
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283 double stepWidth = (maxQ - minQ)/steps; |
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284 |
339
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285 SplineInterpolator interpolator = new SplineInterpolator(); |
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286 |
395
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287 PolynomialSplineFunction spline = |
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288 interpolator.interpolate(splineQ, splineW); |
339
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289 |
395
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290 double [] outWs = new double[steps]; |
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291 double [] outQs = new double[steps]; |
339
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292 |
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293 try { |
395
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294 double q = minQ; |
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295 for (int i = 0; i < outWs.length; ++i, q += stepWidth) { |
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296 outWs[i] = spline.value(outQs[i] = q); |
339
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297 } |
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298 } |
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299 catch (ArgumentOutsideDomainException aode) { |
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300 log.error("Spline interpolation failed.", aode); |
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301 } |
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302 |
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303 return new double [][] { outWs, outQs }; |
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304 } |
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305 |
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306 public int ascendingWs() { |
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307 if (ws.length < 2) { |
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308 return ws.length; |
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309 } |
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310 |
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311 int idx = 1; |
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312 |
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313 for (; idx < ws.length; ++idx) { |
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314 if (Double.isNaN(ws[idx]) || ws[idx] < ws[idx-1]) { |
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315 return idx; |
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316 } |
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317 } |
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318 |
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319 return idx; |
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320 } |
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321 |
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322 public double [][] weightWQs(Row other, double km) { |
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323 int W = Math.min(ws.length, other.ws.length); |
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324 double factor = factor(km, this.km, other.km); |
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325 |
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326 double [] outWs = new double[W]; |
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327 double [] outQs = new double[W]; |
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328 |
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329 for (int i = 0; i < W; ++i) { |
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330 outWs[i] = weight(factor, ws[i], other.ws[i]); |
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331 outQs[i] = weight(factor, qs[i], other.qs[i]); |
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332 } |
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333 |
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334 return new double [][] { outWs, outQs }; |
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335 } |
326
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336 } |
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337 // class Row |
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338 |
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339 protected List<Row> rows; |
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340 |
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341 protected Column [] columns; |
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342 |
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343 public WstValueTable() { |
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344 rows = new ArrayList<Row>(); |
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345 } |
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346 |
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347 public WstValueTable(Column [] columns) { |
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348 this(); |
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349 this.columns = columns; |
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350 } |
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351 |
335
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352 public double [] interpolateW(double km, double [] qs) { |
380
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353 return interpolateW(km, qs, new double[qs.length]); |
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354 } |
335
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355 |
380
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356 public double [] interpolateW(double km, double [] qs, double [] ws) { |
335
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357 |
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358 int rowIndex = Collections.binarySearch(rows, new Row(km)); |
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359 |
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360 if (rowIndex >= 0) { // direct row match |
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361 Row row = rows.get(rowIndex); |
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362 for (int i = 0; i < qs.length; ++i) { |
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363 ws[i] = row.interpolateW(qs[i]); |
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364 } |
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365 } |
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366 else { // needs bilinear interpolation |
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367 rowIndex = -rowIndex -1; |
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368 |
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369 if (rowIndex < 1 || rowIndex >= rows.size()) { |
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370 // do not extrapolate |
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371 Arrays.fill(ws, Double.NaN); |
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372 } |
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373 else { |
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374 rows.get(rowIndex-1).interpolateW( |
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375 rows.get(rowIndex), |
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376 km, qs, ws); |
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377 } |
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378 } |
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379 |
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380 return ws; |
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381 } |
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382 |
339
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383 |
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384 public double [][] interpolateWQ(double km) { |
395
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385 return interpolateWQ(km, DEFAULT_Q_STEPS); |
339
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386 } |
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387 |
395
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388 public double [][] interpolateWQ(double km, int steps) { |
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389 |
339
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390 int rowIndex = Collections.binarySearch(rows, new Row(km)); |
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391 |
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392 if (rowIndex >= 0) { // direct row match |
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393 Row row = rows.get(rowIndex); |
395
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394 return row.interpolateWQ(steps); |
339
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395 } |
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396 |
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397 rowIndex = -rowIndex -1; |
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398 |
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399 if (rowIndex < 1 || rowIndex >= rows.size()) { |
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400 // do not extrapolate |
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401 return new double[2][0]; |
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402 } |
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403 |
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404 Row r1 = rows.get(rowIndex-1); |
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405 Row r2 = rows.get(rowIndex); |
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406 |
395
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407 return r1.interpolateWQ(r2, km, steps); |
339
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408 } |
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409 |
326
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410 public static WstValueTable getTable(River river) { |
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411 return getTable(river, 0); |
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412 } |
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413 |
374
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414 public static final class CacheKey |
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415 implements Serializable |
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416 { |
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417 private int riverId; |
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418 private int kind; |
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419 |
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420 public CacheKey(int riverId, int kind) { |
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421 this.riverId = riverId; |
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422 this.kind = kind; |
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423 } |
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424 |
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425 public int hashCode() { |
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426 return (riverId << 8) | kind; |
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427 } |
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428 |
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429 public boolean equals(Object other) { |
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430 if (!(other instanceof CacheKey)) { |
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431 return false; |
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432 } |
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433 CacheKey o = (CacheKey)other; |
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434 return riverId == o.riverId && kind == o.kind; |
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435 } |
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436 } // class CacheKey |
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437 |
326
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438 public static WstValueTable getTable(River river, int kind) { |
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439 |
374
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440 Cache cache = CacheFactory.getCache(CACHE_NAME); |
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441 |
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442 CacheKey cacheKey; |
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443 |
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444 if (cache != null) { |
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445 cacheKey = new CacheKey(river.getId(), kind); |
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446 Element element = cache.get(cacheKey); |
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447 if (element != null) { |
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448 log.debug("got wst value table from cache"); |
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449 return (WstValueTable)element.getValue(); |
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450 } |
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451 } |
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452 else { |
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453 cacheKey = null; |
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454 } |
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455 |
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456 WstValueTable valueTable = getTableUncached(river, kind); |
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457 |
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458 if (cacheKey != null) { |
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459 log.debug("store wst value in cache"); |
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460 Element element = new Element(cacheKey, valueTable); |
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461 cache.put(element); |
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462 } |
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463 |
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464 return valueTable; |
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465 } |
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466 |
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467 public static WstValueTable getTableUncached(River river, int kind) { |
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468 |
326
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469 Session session = SessionHolder.HOLDER.get(); |
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470 |
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471 Query query = session.createQuery( |
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472 "from Wst where river=:river and kind=:kind"); |
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473 query.setParameter("river", river); |
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474 query.setInteger("kind", kind); |
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475 |
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476 List<Wst> wsts = query.list(); |
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changeset
|
477 |
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|
478 if (wsts.isEmpty()) { |
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479 return null; |
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|
480 } |
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|
481 |
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482 Wst wst = wsts.get(0); |
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|
483 |
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|
484 // TODO: Do this sorting at database level |
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485 List<WstColumn> wstColumns = new ArrayList(wst.getColumns()); |
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486 Collections.sort(wstColumns, new Comparator<WstColumn>() { |
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487 public int compare(WstColumn a, WstColumn b) { |
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|
488 int pa = a.getPosition(); |
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489 int pb = b.getPosition(); |
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|
490 if (pa < pb) return -1; |
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|
491 if (pa > pb) return +1; |
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492 return 0; |
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|
493 } |
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|
494 }); |
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|
495 |
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|
496 Column [] columns = new Column[wstColumns.size()]; |
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497 for (int i = 0; i < columns.length; ++i) { |
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498 columns[i] = new Column(wstColumns.get(i).getName()); |
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|
499 } |
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|
500 |
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|
501 // using native SQL here to avoid myriad of small objects. |
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502 SQLQuery sqlQuery = session.createSQLQuery(SQL_POS_WQ) |
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503 .addScalar("position", StandardBasicTypes.DOUBLE) |
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504 .addScalar("w", StandardBasicTypes.DOUBLE) |
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|
505 .addScalar("q", StandardBasicTypes.DOUBLE) |
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|
506 .addScalar("column_pos", StandardBasicTypes.INTEGER); |
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|
507 |
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|
508 sqlQuery.setInteger("wst_id", wst.getId()); |
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|
509 |
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|
510 WstValueTable valueTable = new WstValueTable(columns); |
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|
511 |
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|
512 int lastColumnNo = -1; |
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|
513 Row row = null; |
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changeset
|
514 |
335
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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|
515 Double lastQ = -Double.MAX_VALUE; |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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|
516 boolean qSorted = true; |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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517 |
360
3571357c85a7
Bugfix: Removed endless loop and a bug while iterating over Hibernate results.
Ingo Weinzierl <ingo.weinzierl@intevation.de>
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518 for (Object r: sqlQuery.list()) { |
3571357c85a7
Bugfix: Removed endless loop and a bug while iterating over Hibernate results.
Ingo Weinzierl <ingo.weinzierl@intevation.de>
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519 Object[] result = (Object[]) r; |
3571357c85a7
Bugfix: Removed endless loop and a bug while iterating over Hibernate results.
Ingo Weinzierl <ingo.weinzierl@intevation.de>
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520 |
326
07eba6d3b4a5
Fetches w/q value tables from the backend.
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521 double km = (Double) result[0]; |
07eba6d3b4a5
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522 Double w = (Double) result[1]; |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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523 Double q = (Double) result[2]; |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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524 int columnNo = (Integer)result[3]; |
07eba6d3b4a5
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525 |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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526 if (columnNo > lastColumnNo) { // new row |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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527 if (row != null) { |
335
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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528 row.qSorted = qSorted; |
326
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529 valueTable.rows.add(row); |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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530 } |
335
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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531 row = new Row( |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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532 km, |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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533 new double[columnNo+1], |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
Sascha L. Teichmann <sascha.teichmann@intevation.de>
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534 new double[columnNo+1]); |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
Sascha L. Teichmann <sascha.teichmann@intevation.de>
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535 lastQ = -Double.MAX_VALUE; |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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536 qSorted = true; |
326
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537 } |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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538 |
335
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539 row.ws[columnNo] = w != null ? w : Double.NaN; |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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540 row.qs[columnNo] = q != null ? q : Double.NaN; |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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541 |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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542 if (qSorted && (q == null || lastQ > q)) { |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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543 qSorted = false; |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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544 } |
64cfbd631f29
Implemented the "Wasserstand/Wasserspiegellagen" calculation.
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545 lastQ = q; |
326
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546 |
07eba6d3b4a5
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547 lastColumnNo = columnNo; |
07eba6d3b4a5
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548 } |
07eba6d3b4a5
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549 |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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550 if (row != null) { |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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551 valueTable.rows.add(row); |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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552 } |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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553 |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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554 return valueTable; |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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555 } |
07eba6d3b4a5
Fetches w/q value tables from the backend.
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556 } |
07eba6d3b4a5
Fetches w/q value tables from the backend.
Sascha L. Teichmann <sascha.teichmann@intevation.de>
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557 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 : |