Mercurial > dive4elements > river
annotate flys-artifacts/src/main/java/de/intevation/flys/artifacts/model/Parameters.java @ 3394:f091f2f55f88
Partial implementation of bandwidths for curves (issue720).
flys-artifacts/trunk@5024 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Felix Wolfsteller <felix.wolfsteller@intevation.de> |
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date | Tue, 17 Jul 2012 18:31:34 +0000 |
parents | 56f62b5209f5 |
children | 1df6984628c3 |
rev | line source |
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1 package de.intevation.flys.artifacts.model; |
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2 |
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Parameters: Linear interpolation of parameters.
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3 import de.intevation.flys.artifacts.math.Linear; |
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4 |
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5 import gnu.trove.TDoubleArrayList; |
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6 |
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7 import java.io.Serializable; |
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8 |
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9 import org.apache.log4j.Logger; |
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10 |
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11 public class Parameters |
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12 implements Serializable |
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13 { |
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14 private static Logger log = Logger.getLogger(Parameters.class); |
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15 |
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16 public interface Visitor { |
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17 |
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18 void visit(double [] row); |
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19 |
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20 } // interface Visitor |
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21 |
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22 public static final double EPSILON = 1e-4; |
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23 |
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24 protected String [] columnNames; |
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25 protected TDoubleArrayList [] columns; |
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26 |
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27 public Parameters() { |
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28 } |
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29 |
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30 public Parameters(String [] columnNames) { |
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31 if (columnNames == null || columnNames.length < 1) { |
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32 throw new IllegalArgumentException("columnNames too short."); |
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33 } |
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34 this.columnNames = columnNames; |
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35 columns = new TDoubleArrayList[columnNames.length]; |
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36 for (int i = 0; i < columns.length; ++i) { |
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37 columns[i] = new TDoubleArrayList(); |
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38 } |
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39 } |
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40 |
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41 public int columnIndex(String name) { |
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42 for (int i = 0; i < columnNames.length; ++i) { |
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43 if (columnNames[i].equals(name)) { |
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44 return i; |
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45 } |
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46 } |
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47 if (log.isDebugEnabled()) { |
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48 log.debug("columnIndex: " + name + " not found in columnNames"); |
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49 } |
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50 return -1; |
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51 } |
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52 |
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53 public int newRow() { |
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54 |
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55 int N = columns[0].size(); |
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56 |
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57 for (int i = 0; i < columns.length; ++i) { |
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58 columns[i].add(Double.NaN); |
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59 } |
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60 |
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61 return N; |
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62 } |
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63 |
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64 public double get(int row, int index) { |
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65 return columns[index].getQuick(row); |
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66 } |
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67 |
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68 public double get(int i, String columnName) { |
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69 int index = columnIndex(columnName); |
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70 return index >= 0 |
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71 ? columns[index].getQuick(i) |
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72 : Double.NaN; |
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73 } |
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74 |
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75 public void set(int row, int index, double value) { |
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76 columns[index].setQuick(row, value); |
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77 } |
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78 |
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79 public void set(int i, String columnName, double value) { |
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80 int idx = columnIndex(columnName); |
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81 if (idx >= 0) { |
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82 columns[idx].setQuick(i, value); |
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83 } |
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84 } |
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85 |
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86 public boolean set(int row, int [] indices, double [] values) { |
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87 boolean invalid = false; |
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88 for (int i = 0; i < indices.length; ++i) { |
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89 double v = values[i]; |
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90 if (Double.isNaN(v)) { |
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91 invalid = true; |
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92 } |
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93 else { |
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94 columns[indices[i]].setQuick(row, v); |
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95 } |
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96 } |
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97 return invalid; |
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98 } |
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99 |
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100 public int size() { |
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101 return columns[0].size(); |
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102 } |
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103 |
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104 public int getNumberColumns() { |
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105 return columnNames.length; |
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106 } |
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107 |
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108 public String [] getColumnNames() { |
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109 return columnNames; |
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110 } |
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111 |
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112 public void removeNaNs() { |
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113 W.removeNaNs(columns); |
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114 } |
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115 |
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116 public int [] columnIndices(String [] columns) { |
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117 int [] indices = new int[columns.length]; |
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118 for (int i = 0; i < columns.length; ++i) { |
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119 indices[i] = columnIndex(columns[i]); |
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120 } |
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121 return indices; |
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122 } |
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123 |
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124 public double getValue(int row, String column) { |
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125 int idx = columnIndex(column); |
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126 return idx >= 0 |
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127 ? columns[idx].getQuick(row) |
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128 : Double.NaN; |
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129 } |
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130 |
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131 public double [] get(int row, String [] columns) { |
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132 return get(row, columns, new double[columns.length]); |
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133 } |
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134 |
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135 public double [] get(int row, String [] columns, double [] values) { |
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136 for (int i = 0; i < columns.length; ++i) { |
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137 int idx = columnIndex(columns[i]); |
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138 values[i] = idx < 0 |
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139 ? Double.NaN |
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140 : this.columns[idx].getQuick(row); |
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141 } |
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142 |
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143 return values; |
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144 } |
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145 |
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146 public void get(int row, int [] columnIndices, double [] values) { |
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147 for (int i = 0; i < columnIndices.length; ++i) { |
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148 int index = columnIndices[i]; |
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149 values[i] = index >= 0 && index < columns.length |
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150 ? columns[index].getQuick(row) |
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151 : Double.NaN; |
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152 } |
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153 } |
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154 |
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155 public int binarySearch(String columnName, double value) { |
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156 return binarySearch(columnIndex(columnName), value); |
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157 } |
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158 |
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159 /** |
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160 * Performes a binary search in the column identified by its |
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161 * index. |
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162 * @return Index of found element or negative insertion point (shifted by one) |
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163 */ |
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164 public int binarySearch(int columnIndex, double value) { |
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165 TDoubleArrayList column = columns[columnIndex]; |
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166 return column.binarySearch(value); |
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167 } |
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168 |
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169 public int binarySearch(String columnName, double value, double epsilon) { |
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170 return binarySearch(columnIndex(columnName), value, epsilon); |
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171 } |
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172 |
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173 public int binarySearch(int columnIndex, double value, double epsilon) { |
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174 if (epsilon < 0d) epsilon = -epsilon; |
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175 double vl = value - epsilon; |
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176 double vh = value + epsilon; |
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177 |
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178 TDoubleArrayList column = columns[columnIndex]; |
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179 int lo = 0, hi = column.size()-1; |
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180 while (hi >= lo) { |
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181 int mid = (lo + hi) >> 1; |
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182 double v = column.getQuick(mid); |
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183 if (v < vl) lo = mid + 1; |
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184 else if (v > vh) hi = mid - 1; |
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185 else return mid; |
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186 } |
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187 |
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188 return -(lo + 1); |
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189 } |
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190 |
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191 public double [] interpolate(int columnIndex, double key) { |
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192 return interpolate(columnIndex, key, new double[columns.length]); |
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193 } |
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194 |
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195 public double [] interpolate(String columnName, double key) { |
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196 return interpolate( |
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197 columnIndex(columnName), key, new double[columns.length]); |
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198 } |
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199 |
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200 public double [] interpolate( |
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201 String columnName, |
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202 double key, |
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203 double [] values |
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204 ) { |
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205 return interpolate(columnIndex(columnName), key, values); |
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206 } |
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207 |
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208 public double [] interpolate( |
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209 int columnIndex, |
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210 double key, |
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211 double [] values |
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212 ) { |
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213 int row = binarySearch(columnIndex, key, EPSILON); |
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214 |
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215 if (row >= 0) { // direct hit |
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216 for (int i = 0; i < values.length; ++i) { |
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217 values[i] = columns[i].getQuick(row); |
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218 } |
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219 } |
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220 else { |
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221 row = -row - 1; |
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222 if (row < 1 || row >= size()) { |
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223 return null; |
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224 } |
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225 double v1 = columns[columnIndex].getQuick(row-1); |
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226 double v2 = columns[columnIndex].getQuick(row); |
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227 double factor = Linear.factor(key, v1, v2); |
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228 for (int i = 0; i < values.length; ++i) { |
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229 values[i] = Linear.weight( |
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230 factor, |
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231 columns[i].getQuick(row-1), |
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232 columns[i].getQuick(row)); |
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233 } |
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234 } |
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235 return values; |
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236 } |
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237 |
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238 |
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239 public double [] interpolate( |
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240 String keyName, |
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241 double key, |
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242 String [] columnNames |
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243 ) { |
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244 int keyIndex = columnIndex(keyName); |
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245 return keyIndex < 0 |
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246 ? null |
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247 : interpolate(keyIndex, key, columnNames); |
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248 } |
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249 |
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250 public double [] interpolate( |
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251 int keyIndex, |
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252 double key, |
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253 String [] columnNames |
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254 ) { |
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255 int row = binarySearch(keyIndex, key, EPSILON); |
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256 |
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257 if (row >= 0) { // direct match |
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258 double [] values = new double[columnNames.length]; |
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259 for (int i = 0; i < values.length; ++i) { |
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260 int ci = columnIndex(columnNames[i]); |
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261 values[i] = ci < 0 |
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262 ? Double.NaN |
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263 : columns[ci].getQuick(row); |
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264 } |
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265 return values; |
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266 } |
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267 |
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268 row = -row - 1; |
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Fixing output generator hacking
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269 if (row < 1 || row >= size()) { |
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FixA: Lowered log level in parameter interpolation.
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270 log.debug("interpolate: row is out of bounds"); |
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271 return null; |
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272 } |
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273 |
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274 double v1 = columns[keyIndex].getQuick(row-1); |
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275 double v2 = columns[keyIndex].getQuick(row); |
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276 double factor = Linear.factor(key, v1, v2); |
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277 |
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278 double [] values = new double[columnNames.length]; |
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279 |
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280 for (int i = 0; i < values.length; ++i) { |
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281 int ci = columnIndex(columnNames[i]); |
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282 values[i] = ci < 0 |
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283 ? Double.NaN |
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284 : Linear.weight( |
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285 factor, |
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286 columns[ci].getQuick(row-1), |
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287 columns[ci].getQuick(row)); |
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288 } |
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289 |
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290 return values; |
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291 } |
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292 |
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293 public boolean isSorted(String columnName) { |
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294 return isSorted(columnIndex(columnName)); |
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295 } |
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296 |
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297 public boolean isSorted(int columnIndex) { |
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298 TDoubleArrayList column = columns[columnIndex]; |
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299 for (int i = 1, N = column.size(); i < N; ++i) { |
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300 if (column.getQuick(i-1) > column.getQuick(i)) { |
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301 return false; |
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302 } |
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303 } |
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304 return true; |
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305 } |
3217
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FixA: Added parameter exporter.
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306 |
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307 public void visit(Visitor visitor) { |
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308 visit(visitor, new double[columns.length]); |
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309 } |
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310 |
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311 public void visit(Visitor visitor, double [] data) { |
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312 for (int i = 0, R = size(); i < R; ++i) { |
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313 for (int j = 0; j < data.length; ++j) { |
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314 data[j] = columns[j].getQuick(i); |
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315 } |
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316 visitor.visit(data); |
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317 } |
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318 } |
2695
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319 } |
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320 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 : |