Mercurial > dive4elements > river

annotate flys-artifacts/src/main/java/de/intevation/flys/artifacts/model/fixings/FixCalculation.java @ 5733:b7d631e45ee7

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FixCalculation: Cosmetics, renamed function, doc.
author Felix Wolfsteller <felix.wolfsteller@intevation.de>
date Tue, 16 Apr 2013 12:45:51 +0200
parents 345f3bba6f15
children 6e6753b9757f
rev   line source
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Sascha L. Teichmann <sascha.teichmann@intevation.de>
parents:
diff changeset
1 package de.intevation.flys.artifacts.model.fixings;
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2
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3 import de.intevation.artifacts.common.utils.StringUtils;
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4
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5 import de.intevation.flys.artifacts.access.FixAccess;
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6
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7 import de.intevation.flys.artifacts.math.fitting.Function;
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8 import de.intevation.flys.artifacts.math.fitting.FunctionFactory;
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9
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10 import de.intevation.flys.artifacts.model.Calculation;
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11 import de.intevation.flys.artifacts.model.CalculationResult;
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12 import de.intevation.flys.artifacts.model.FixingsColumn;
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13 import de.intevation.flys.artifacts.model.FixingsColumnFactory;
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14
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15 import de.intevation.flys.artifacts.model.FixingsOverview.Fixing.Filter;
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16
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17 import de.intevation.flys.artifacts.model.FixingsOverview.Fixing;
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18 import de.intevation.flys.artifacts.model.FixingsOverview.IdsFilter;
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19
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20 import de.intevation.flys.artifacts.model.FixingsOverview;
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21 import de.intevation.flys.artifacts.model.FixingsOverviewFactory;
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22 import de.intevation.flys.artifacts.model.Parameters;
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23
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24 import de.intevation.flys.utils.DoubleUtil;
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25 import de.intevation.flys.utils.KMIndex;
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26
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27 import java.util.ArrayList;
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28 import java.util.Date;
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29 import java.util.HashMap;
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30 import java.util.List;
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31 import java.util.Map;
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32
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33 import org.apache.log4j.Logger;
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34
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35 /** Calculation base class for fix. */
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36 public abstract class FixCalculation
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37 extends Calculation
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38 {
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39 private static Logger log = Logger.getLogger(FixCalculation.class);
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40
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41 public static final double EPSILON = 1e-4;
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42
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43 public static final String [] STANDARD_COLUMNS = {
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44 "km", "chi_sqr", "max_q", "std-dev"
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45 };
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46
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47 protected static class FitResult {
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48
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49 protected Parameters parameters;
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50 protected KMIndex<QWD []> referenced;
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51 protected KMIndex<QWI []> outliers;
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52
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53 public FitResult() {
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54 }
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55
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56 public FitResult(
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57 Parameters parameters,
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58 KMIndex<QWD []> referenced,
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59 KMIndex<QWI []> outliers
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60 ) {
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61 this.parameters = parameters;
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62 this.referenced = referenced;
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63 this.outliers = outliers;
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64 }
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65
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66 public Parameters getParameters() {
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67 return parameters;
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68 }
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69
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70 public KMIndex<QWD []> getReferenced() {
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71 return referenced;
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72 }
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73
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74 public KMIndex<QWI []> getOutliers() {
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75 return outliers;
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76 }
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77 } // class FitResult
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78
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79 /** Helper class to bundle the meta information of a column
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80 * and the real data.
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81 */
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82 protected static class Column {
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83
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84 protected Fixing.Column meta;
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85 protected FixingsColumn data;
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86 protected int index;
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87
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88 public Column() {
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89 }
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90
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91 public Column(Fixing.Column meta, FixingsColumn data, int index) {
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92 this.meta = meta;
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93 this.data = data;
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94 this.index = index;
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95 }
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96
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97 public Date getDate() {
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98 return meta.getStartTime();
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99 }
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100
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101 public String getDescription() {
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102 return meta.getDescription();
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103 }
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104
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105 public int getIndex() {
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106 return index;
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107 }
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108
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109 public boolean getQW(
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110 double km,
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111 double [] qs,
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112 double [] ws,
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113 int index
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114 ) {
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115 qs[index] = data.getQ(km);
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116 return data.getW(km, ws, index);
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117 }
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118
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119 public boolean getQW(double km, double [] wq) {
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120 data.getW(km, wq, 0);
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121 if (Double.isNaN(wq[0])) return false;
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122 wq[1] = data.getQ(km);
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123 return !Double.isNaN(wq[1]);
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124 }
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125 } // class Column
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126
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127 /**
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128 * Helper class to find the data belonging to meta info more quickly.
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129 */
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130 protected static class ColumnCache {
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131
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132 protected Map<Integer, Column> columns;
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133
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134 public ColumnCache() {
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135 columns = new HashMap<Integer, Column>();
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136 }
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137
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138 public Column getColumn(Fixing.Column meta) {
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139 Integer key = meta.getId();
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140 Column column = columns.get(key);
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141 if (column == null) {
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142 FixingsColumn data = FixingsColumnFactory
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143 .getInstance()
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144 .getColumnData(meta);
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145 if (data != null) {
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146 column = new Column(meta, data, columns.size());
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147 columns.put(key, column);
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148 }
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149 }
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150 return column;
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151 }
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152 } // class ColumnCache
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153
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154
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155 protected String river;
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156 protected double from;
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157 protected double to;
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158 protected double step;
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159 protected boolean preprocessing;
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160 protected String function;
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161 protected int [] events;
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162 protected int qSectorStart;
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163 protected int qSectorEnd;
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164
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165 public FixCalculation() {
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166 }
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167
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168 public FixCalculation(FixAccess access) {
3451
b5eec54bd4a2 FixA: Removed some inner whitespace.
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169 String river = access.getRiver();
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170 Double from = access.getFrom();
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171 Double to = access.getTo();
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172 Double step = access.getStep();
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diff changeset
173 String function = access.getFunction();
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174 int [] events = access.getEvents();
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175 Integer qSectorStart = access.getQSectorStart();
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176 Integer qSectorEnd = access.getQSectorEnd();
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177 Boolean preprocessing = access.getPreprocessing();
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178
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179 if (river == null) {
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180 addProblem("fix.missing.river");
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181 }
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182
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183 if (from == null) {
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184 addProblem("fix.missing.from");
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185 }
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186
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187 if (to == null) {
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188 addProblem("fix.missing.to");
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189 }
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190
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191 if (step == null) {
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192 addProblem("fix.missing.step");
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193 }
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194
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195 if (function == null) {
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196 addProblem("fix.missing.function");
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197 }
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198
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199 if (events == null || events.length < 1) {
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diff changeset
200 addProblem("fix.missing.events");
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201 }
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202
2744
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203 if (qSectorStart == null) {
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204 addProblem("fix.missing.qstart.sector");
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205 }
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206
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diff changeset
207 if (qSectorEnd == null) {
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208 addProblem("fix.missing.qend.sector");
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parents: 2729
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209 }
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210
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211 if (preprocessing == null) {
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212 addProblem("fix.missing.preprocessing");
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213 }
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214
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215 if (!hasProblems()) {
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216 this.river = river;
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217 this.from = from;
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218 this.to = to;
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219 this.step = step;
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220 this.function = function;
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221 this.events = events;
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222 this.qSectorStart = qSectorStart;
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223 this.qSectorEnd = qSectorEnd;
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diff changeset
224 this.preprocessing = preprocessing;
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diff changeset
225 }
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parents:
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226 }
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227
3434
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228 protected static String toString(
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diff changeset
229 String [] parameterNames,
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diff changeset
230 double [] values
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diff changeset
231 ) {
1a636be7612b FixA: Moved more common calculation code into base class.
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diff changeset
232 StringBuilder sb = new StringBuilder();
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diff changeset
233 for (int i = 0; i < parameterNames.length; ++i) {
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diff changeset
234 if (i > 0) sb.append(", ");
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diff changeset
235 sb.append(parameterNames[i]).append(": ").append(values[i]);
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diff changeset
236 }
1a636be7612b FixA: Moved more common calculation code into base class.
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diff changeset
237 return sb.toString();
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diff changeset
238 }
2729
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diff changeset
239
5733
b7d631e45ee7 FixCalculation: Cosmetics, renamed function, doc.
Felix Wolfsteller <felix.wolfsteller@intevation.de>
parents: 5150
diff changeset
240
b7d631e45ee7 FixCalculation: Cosmetics, renamed function, doc.
Felix Wolfsteller <felix.wolfsteller@intevation.de>
parents: 5150
diff changeset
241 /** Create an ID Filter to accept only the chosen event ids. */
b7d631e45ee7 FixCalculation: Cosmetics, renamed function, doc.
Felix Wolfsteller <felix.wolfsteller@intevation.de>
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diff changeset
242 protected Filter createEventIDFilter() {
3434
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diff changeset
243 return new IdsFilter(events);
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parents: 3419
diff changeset
244 }
1a636be7612b FixA: Moved more common calculation code into base class.
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parents: 3419
diff changeset
245
3603
d2ae58f6730d FixA: Use the column cache to establish a consistent index scheme.
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parents: 3451
diff changeset
246 protected List<Column> getEventColumns(
d2ae58f6730d FixA: Use the column cache to establish a consistent index scheme.
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parents: 3451
diff changeset
247 FixingsOverview overview,
d2ae58f6730d FixA: Use the column cache to establish a consistent index scheme.
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diff changeset
248 ColumnCache cc
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249 ) {
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250 FixingsColumnFactory fcf = FixingsColumnFactory.getInstance();
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251
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Felix Wolfsteller <felix.wolfsteller@intevation.de>
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diff changeset
252 Filter filter = createEventIDFilter();
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253
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254 List<Fixing.Column> metas = overview.filter(null, filter);
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255
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256 List<Column> columns = new ArrayList<Column>(metas.size());
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257
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258 for (Fixing.Column meta: metas) {
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259
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260 Column data = cc.getColumn(meta);
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261 if (data == null) {
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262 addProblem("fix.cannot.load.data");
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263 }
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264 else {
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265 columns.add(data);
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266 }
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267 }
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268
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269 return columns;
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parents:
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270 }
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271
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272 // Fit a function to the given points from fixation.
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273 protected FitResult doFitting(
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274 FixingsOverview overview,
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275 ColumnCache cc,
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276 Function func
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277 ) {
2792
fe987587ebc9 Merged revisions 4539-4540,4543,4545-4546 via svnmerge from
Ingo Weinzierl <ingo.weinzierl@intevation.de>
parents: 2788
diff changeset
278 boolean debug = log.isDebugEnabled();
fe987587ebc9 Merged revisions 4539-4540,4543,4545-4546 via svnmerge from
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279
3603
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280 final List<Column> eventColumns = getEventColumns(overview, cc);
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281
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282 if (eventColumns.size() < 2) {
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283 addProblem("fix.too.less.data.columns");
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284 return null;
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285 }
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286
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287 final double [] qs = new double[eventColumns.size()];
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288 final double [] ws = new double[qs.length];
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289 final boolean [] interpolated = new boolean[ws.length];
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290
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291 Fitting.QWDFactory qwdFactory = new Fitting.QWDFactory() {
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292 @Override
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293 public QWD create(double q, double w) {
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294 // Check all the event columns for close match
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295 // and take the description and the date from meta.
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296 for (int i = 0; i < qs.length; ++i) {
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297 if (Math.abs(qs[i]-q) < EPSILON
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298 && Math.abs(ws[i]-w) < EPSILON) {
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299 Column column = eventColumns.get(i);
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300 return new QWD(
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diff changeset
301 qs[i], ws[i],
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302 column.getDescription(),
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303 column.getDate(),
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304 interpolated[i],
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diff changeset
305 0d,
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306 column.getIndex());
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307 }
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308 }
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309 log.warn("cannot find column for (" + q + ", " + w + ")");
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310 return new QWD(q, w);
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311 }
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312 };
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313
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diff changeset
314 Fitting fitting = new Fitting(func, qwdFactory, preprocessing);
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315
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diff changeset
316 String [] parameterNames = func.getParameterNames();
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317
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318 Parameters results =
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319 new Parameters(
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diff changeset
320 StringUtils.join(STANDARD_COLUMNS, parameterNames));
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321
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diff changeset
322 boolean invalid = false;
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323
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diff changeset
324 double [] kms = DoubleUtil.explode(from, to, step / 1000.0);
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325
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diff changeset
326 if (debug) {
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diff changeset
327 log.debug("number of kms: " + kms.length);
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328 }
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diff changeset
329
3729
e727e3ebdf85 Factored out a pure QW model to be more reusable.
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diff changeset
330 KMIndex<QWI []> outliers = new KMIndex<QWI []>();
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diff changeset
331 KMIndex<QWD []> referenced = new KMIndex<QWD []>(kms.length);
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diff changeset
332
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diff changeset
333 int kmIndex = results.columnIndex("km");
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diff changeset
334 int chiSqrIndex = results.columnIndex("chi_sqr");
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diff changeset
335 int maxQIndex = results.columnIndex("max_q");
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diff changeset
336 int stdDevIndex = results.columnIndex("std-dev");
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diff changeset
337 int [] parameterIndices = results.columnIndices(parameterNames);
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338
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diff changeset
339 int numFailed = 0;
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340
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diff changeset
341 for (int i = 0; i < kms.length; ++i) {
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diff changeset
342 double km = kms[i];
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343
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diff changeset
344 // Fill Qs and Ws from event columns.
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diff changeset
345 for (int j = 0; j < ws.length; ++j) {
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diff changeset
346 interpolated[j] = !eventColumns.get(j).getQW(km, qs, ws, j);
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diff changeset
347 }
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diff changeset
348
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diff changeset
349 fitting.reset();
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350
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diff changeset
351 if (!fitting.fit(qs, ws)) {
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diff changeset
352 ++numFailed;
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diff changeset
353 addProblem(km, "fix.fitting.failed");
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diff changeset
354 continue;
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diff changeset
355 }
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diff changeset
356
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diff changeset
357 referenced.add(km, fitting.referencedToArray());
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358
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diff changeset
359 if (fitting.hasOutliers()) {
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360 outliers.add(km, fitting.outliersToArray());
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361 }
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362
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363 int row = results.newRow();
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364 double [] values = fitting.getParameters();
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365
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366 results.set(row, kmIndex, km);
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367 results.set(row, chiSqrIndex, fitting.getChiSquare());
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368 results.set(row, stdDevIndex, fitting.getStandardDeviation());
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369 results.set(row, maxQIndex, fitting.getMaxQ());
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370 invalid |= results.set(row, parameterIndices, values);
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371
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372 if (debug) {
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373 log.debug("km: "+km+" " + toString(parameterNames, values));
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374 }
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375 }
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376
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377 if (debug) {
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378 log.debug("success: " + (kms.length - numFailed));
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379 log.debug("failed: " + numFailed);
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parents: 3434
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380 }
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381
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diff changeset
382 if (invalid) {
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383 addProblem("fix.invalid.values");
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384 results.removeNaNs();
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parents: 3434
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385 }
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parents: 3434
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386
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387 outliers.sort();
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388 referenced.sort();
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389
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390 return new FitResult(
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391 results,
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diff changeset
392 referenced,
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393 outliers);
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parents: 3434
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394 }
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parents: 3435
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395
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396 public CalculationResult calculate() {
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397 FixingsOverview overview =
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398 FixingsOverviewFactory.getOverview(river);
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399
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parents:
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400 if (overview == null) {
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parents:
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401 addProblem("fix.no.overview.available");
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parents:
diff changeset
402 }
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parents:
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403
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parents:
diff changeset
404 Function func = FunctionFactory.getInstance()
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diff changeset
405 .getFunction(function);
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parents:
diff changeset
406
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parents:
diff changeset
407 if (func == null) {
a441be7f1589 Added Fix calculation.
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parents:
diff changeset
408 addProblem("fix.invalid.function.name");
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parents:
diff changeset
409 }
a441be7f1589 Added Fix calculation.
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parents:
diff changeset
410
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parents:
diff changeset
411 if (hasProblems()) {
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parents:
diff changeset
412 return new CalculationResult(this);
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parents:
diff changeset
413 }
a441be7f1589 Added Fix calculation.
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parents:
diff changeset
414
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parents: 3435
diff changeset
415 return innerCalculate(overview, func);
2744
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416 }
c1f2e792704a FixA: Calculate Delta W/t, too.
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parents: 2729
diff changeset
417
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diff changeset
418 protected abstract CalculationResult innerCalculate(
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419 FixingsOverview overview,
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diff changeset
420 Function function
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diff changeset
421 );
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parents:
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422 }
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parents:
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423 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 :
http://dive4elements.wald.intevation.org