1 | /*
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2 | * Licensed to the Apache Software Foundation (ASF) under one or more
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3 | * contributor license agreements. See the NOTICE file distributed with
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4 | * this work for additional information regarding copyright ownership.
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5 | * The ASF licenses this file to You under the Apache License, Version 2.0
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6 | * (the "License"); you may not use this file except in compliance with
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7 | * the License. You may obtain a copy of the License at
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8 | *
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9 | * http://www.apache.org/licenses/LICENSE-2.0
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10 | *
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11 | * Unless required by applicable law or agreed to in writing, software
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12 | * distributed under the License is distributed on an "AS IS" BASIS,
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13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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14 | * See the License for the specific language governing permissions and
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15 | * limitations under the License.
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16 | */
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17 | package agents.anac.y2019.harddealer.math3.analysis.interpolation;
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18 |
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19 | import java.util.List;
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20 | import java.util.ArrayList;
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21 | import agents.anac.y2019.harddealer.math3.random.UnitSphereRandomVectorGenerator;
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22 | import agents.anac.y2019.harddealer.math3.exception.DimensionMismatchException;
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23 | import agents.anac.y2019.harddealer.math3.exception.NotPositiveException;
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24 | import agents.anac.y2019.harddealer.math3.exception.NotStrictlyPositiveException;
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25 | import agents.anac.y2019.harddealer.math3.exception.MaxCountExceededException;
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26 | import agents.anac.y2019.harddealer.math3.exception.OutOfRangeException;
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27 | import agents.anac.y2019.harddealer.math3.util.FastMath;
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28 | import agents.anac.y2019.harddealer.math3.util.MathArrays;
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29 |
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30 | /**
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31 | * Utility class for the {@link MicrosphereProjectionInterpolator} algorithm.
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32 | *
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33 | * @since 3.6
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34 | */
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35 | public class InterpolatingMicrosphere {
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36 | /** Microsphere. */
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37 | private final List<Facet> microsphere;
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38 | /** Microsphere data. */
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39 | private final List<FacetData> microsphereData;
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40 | /** Space dimension. */
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41 | private final int dimension;
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42 | /** Number of surface elements. */
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43 | private final int size;
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44 | /** Maximum fraction of the facets that can be dark. */
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45 | private final double maxDarkFraction;
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46 | /** Lowest non-zero illumination. */
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47 | private final double darkThreshold;
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48 | /** Background value. */
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49 | private final double background;
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50 |
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51 | /**
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52 | * Create an unitialiazed sphere.
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53 | * Sub-classes are responsible for calling the {@code add(double[]) add}
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54 | * method in order to initialize all the sphere's facets.
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55 | *
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56 | * @param dimension Dimension of the data space.
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57 | * @param size Number of surface elements of the sphere.
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58 | * @param maxDarkFraction Maximum fraction of the facets that can be dark.
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59 | * If the fraction of "non-illuminated" facets is larger, no estimation
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60 | * of the value will be performed, and the {@code background} value will
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61 | * be returned instead.
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62 | * @param darkThreshold Value of the illumination below which a facet is
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63 | * considered dark.
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64 | * @param background Value returned when the {@code maxDarkFraction}
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65 | * threshold is exceeded.
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66 | * @throws NotStrictlyPositiveException if {@code dimension <= 0}
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67 | * or {@code size <= 0}.
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68 | * @throws NotPositiveException if {@code darkThreshold < 0}.
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69 | * @throws OutOfRangeException if {@code maxDarkFraction} does not
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70 | * belong to the interval {@code [0, 1]}.
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71 | */
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72 | protected InterpolatingMicrosphere(int dimension,
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73 | int size,
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74 | double maxDarkFraction,
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75 | double darkThreshold,
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76 | double background) {
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77 | if (dimension <= 0) {
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78 | throw new NotStrictlyPositiveException(dimension);
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79 | }
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80 | if (size <= 0) {
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81 | throw new NotStrictlyPositiveException(size);
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82 | }
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83 | if (maxDarkFraction < 0 ||
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84 | maxDarkFraction > 1) {
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85 | throw new OutOfRangeException(maxDarkFraction, 0, 1);
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86 | }
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87 | if (darkThreshold < 0) {
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88 | throw new NotPositiveException(darkThreshold);
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89 | }
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90 |
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91 | this.dimension = dimension;
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92 | this.size = size;
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93 | this.maxDarkFraction = maxDarkFraction;
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94 | this.darkThreshold = darkThreshold;
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95 | this.background = background;
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96 | microsphere = new ArrayList<Facet>(size);
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97 | microsphereData = new ArrayList<FacetData>(size);
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98 | }
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99 |
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100 | /**
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101 | * Create a sphere from randomly sampled vectors.
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102 | *
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103 | * @param dimension Dimension of the data space.
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104 | * @param size Number of surface elements of the sphere.
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105 | * @param rand Unit vector generator for creating the microsphere.
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106 | * @param maxDarkFraction Maximum fraction of the facets that can be dark.
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107 | * If the fraction of "non-illuminated" facets is larger, no estimation
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108 | * of the value will be performed, and the {@code background} value will
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109 | * be returned instead.
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110 | * @param darkThreshold Value of the illumination below which a facet
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111 | * is considered dark.
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112 | * @param background Value returned when the {@code maxDarkFraction}
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113 | * threshold is exceeded.
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114 | * @throws DimensionMismatchException if the size of the generated
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115 | * vectors does not match the dimension set in the constructor.
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116 | * @throws NotStrictlyPositiveException if {@code dimension <= 0}
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117 | * or {@code size <= 0}.
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118 | * @throws NotPositiveException if {@code darkThreshold < 0}.
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119 | * @throws OutOfRangeException if {@code maxDarkFraction} does not
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120 | * belong to the interval {@code [0, 1]}.
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121 | */
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122 | public InterpolatingMicrosphere(int dimension,
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123 | int size,
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124 | double maxDarkFraction,
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125 | double darkThreshold,
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126 | double background,
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127 | UnitSphereRandomVectorGenerator rand) {
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128 | this(dimension, size, maxDarkFraction, darkThreshold, background);
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129 |
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130 | // Generate the microsphere normals, assuming that a number of
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131 | // randomly generated normals will represent a sphere.
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132 | for (int i = 0; i < size; i++) {
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133 | add(rand.nextVector(), false);
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134 | }
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135 | }
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136 |
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137 | /**
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138 | * Copy constructor.
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139 | *
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140 | * @param other Instance to copy.
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141 | */
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142 | protected InterpolatingMicrosphere(InterpolatingMicrosphere other) {
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143 | dimension = other.dimension;
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144 | size = other.size;
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145 | maxDarkFraction = other.maxDarkFraction;
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146 | darkThreshold = other.darkThreshold;
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147 | background = other.background;
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148 |
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149 | // Field can be shared.
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150 | microsphere = other.microsphere;
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151 |
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152 | // Field must be copied.
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153 | microsphereData = new ArrayList<FacetData>(size);
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154 | for (FacetData fd : other.microsphereData) {
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155 | microsphereData.add(new FacetData(fd.illumination(), fd.sample()));
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156 | }
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157 | }
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158 |
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159 | /**
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160 | * Perform a copy.
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161 | *
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162 | * @return a copy of this instance.
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163 | */
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164 | public InterpolatingMicrosphere copy() {
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165 | return new InterpolatingMicrosphere(this);
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166 | }
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167 |
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168 | /**
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169 | * Get the space dimensionality.
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170 | *
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171 | * @return the number of space dimensions.
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172 | */
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173 | public int getDimension() {
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174 | return dimension;
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175 | }
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176 |
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177 | /**
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178 | * Get the size of the sphere.
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179 | *
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180 | * @return the number of surface elements of the microspshere.
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181 | */
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182 | public int getSize() {
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183 | return size;
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184 | }
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185 |
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186 | /**
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187 | * Estimate the value at the requested location.
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188 | * This microsphere is placed at the given {@code point}, contribution
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189 | * of the given {@code samplePoints} to each sphere facet is computed
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190 | * (illumination) and the interpolation is performed (integration of
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191 | * the illumination).
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192 | *
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193 | * @param point Interpolation point.
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194 | * @param samplePoints Sampling data points.
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195 | * @param sampleValues Sampling data values at the corresponding
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196 | * {@code samplePoints}.
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197 | * @param exponent Exponent used in the power law that computes
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198 | * the weights (distance dimming factor) of the sample data.
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199 | * @param noInterpolationTolerance When the distance between the
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200 | * {@code point} and one of the {@code samplePoints} is less than
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201 | * this value, no interpolation will be performed, and the value
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202 | * of the sample will just be returned.
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203 | * @return the estimated value at the given {@code point}.
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204 | * @throws NotPositiveException if {@code exponent < 0}.
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205 | */
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206 | public double value(double[] point,
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207 | double[][] samplePoints,
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208 | double[] sampleValues,
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209 | double exponent,
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210 | double noInterpolationTolerance) {
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211 | if (exponent < 0) {
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212 | throw new NotPositiveException(exponent);
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213 | }
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214 |
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215 | clear();
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216 |
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217 | // Contribution of each sample point to the illumination of the
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218 | // microsphere's facets.
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219 | final int numSamples = samplePoints.length;
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220 | for (int i = 0; i < numSamples; i++) {
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221 | // Vector between interpolation point and current sample point.
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222 | final double[] diff = MathArrays.ebeSubtract(samplePoints[i], point);
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223 | final double diffNorm = MathArrays.safeNorm(diff);
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224 |
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225 | if (FastMath.abs(diffNorm) < noInterpolationTolerance) {
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226 | // No need to interpolate, as the interpolation point is
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227 | // actually (very close to) one of the sampled points.
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228 | return sampleValues[i];
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229 | }
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230 |
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231 | final double weight = FastMath.pow(diffNorm, -exponent);
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232 | illuminate(diff, sampleValues[i], weight);
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233 | }
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234 |
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235 | return interpolate();
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236 | }
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237 |
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238 | /**
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239 | * Replace {@code i}-th facet of the microsphere.
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240 | * Method for initializing the microsphere facets.
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241 | *
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242 | * @param normal Facet's normal vector.
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243 | * @param copy Whether to copy the given array.
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244 | * @throws DimensionMismatchException if the length of {@code n}
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245 | * does not match the space dimension.
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246 | * @throws MaxCountExceededException if the method has been called
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247 | * more times than the size of the sphere.
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248 | */
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249 | protected void add(double[] normal,
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250 | boolean copy) {
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251 | if (microsphere.size() >= size) {
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252 | throw new MaxCountExceededException(size);
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253 | }
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254 | if (normal.length > dimension) {
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255 | throw new DimensionMismatchException(normal.length, dimension);
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256 | }
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257 |
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258 | microsphere.add(new Facet(copy ? normal.clone() : normal));
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259 | microsphereData.add(new FacetData(0d, 0d));
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260 | }
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261 |
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262 | /**
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263 | * Interpolation.
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264 | *
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265 | * @return the value estimated from the current illumination of the
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266 | * microsphere.
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267 | */
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268 | private double interpolate() {
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269 | // Number of non-illuminated facets.
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270 | int darkCount = 0;
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271 |
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272 | double value = 0;
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273 | double totalWeight = 0;
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274 | for (FacetData fd : microsphereData) {
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275 | final double iV = fd.illumination();
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276 | if (iV != 0d) {
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277 | value += iV * fd.sample();
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278 | totalWeight += iV;
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279 | } else {
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280 | ++darkCount;
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281 | }
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282 | }
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283 |
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284 | final double darkFraction = darkCount / (double) size;
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285 |
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286 | return darkFraction <= maxDarkFraction ?
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287 | value / totalWeight :
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288 | background;
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289 | }
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290 |
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291 | /**
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292 | * Illumination.
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293 | *
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294 | * @param sampleDirection Vector whose origin is at the interpolation
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295 | * point and tail is at the sample location.
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296 | * @param sampleValue Data value of the sample.
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297 | * @param weight Weight.
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298 | */
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299 | private void illuminate(double[] sampleDirection,
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300 | double sampleValue,
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301 | double weight) {
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302 | for (int i = 0; i < size; i++) {
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303 | final double[] n = microsphere.get(i).getNormal();
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304 | final double cos = MathArrays.cosAngle(n, sampleDirection);
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305 |
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306 | if (cos > 0) {
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307 | final double illumination = cos * weight;
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308 |
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309 | if (illumination > darkThreshold &&
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310 | illumination > microsphereData.get(i).illumination()) {
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311 | microsphereData.set(i, new FacetData(illumination, sampleValue));
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312 | }
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313 | }
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314 | }
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315 | }
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316 |
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317 | /**
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318 | * Reset the all the {@link Facet facets} data to zero.
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319 | */
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320 | private void clear() {
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321 | for (int i = 0; i < size; i++) {
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322 | microsphereData.set(i, new FacetData(0d, 0d));
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323 | }
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324 | }
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325 |
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326 | /**
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327 | * Microsphere "facet" (surface element).
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328 | */
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329 | private static class Facet {
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330 | /** Normal vector characterizing a surface element. */
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331 | private final double[] normal;
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332 |
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333 | /**
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334 | * @param n Normal vector characterizing a surface element
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335 | * of the microsphere. No copy is made.
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336 | */
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337 | Facet(double[] n) {
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338 | normal = n;
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339 | }
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340 |
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341 | /**
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342 | * Return a reference to the vector normal to this facet.
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343 | *
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344 | * @return the normal vector.
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345 | */
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346 | public double[] getNormal() {
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347 | return normal;
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348 | }
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349 | }
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350 |
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351 | /**
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352 | * Data associated with each {@link Facet}.
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353 | */
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354 | private static class FacetData {
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355 | /** Illumination received from the sample. */
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356 | private final double illumination;
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357 | /** Data value of the sample. */
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358 | private final double sample;
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359 |
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360 | /**
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361 | * @param illumination Illumination.
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362 | * @param sample Data value.
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363 | */
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364 | FacetData(double illumination, double sample) {
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365 | this.illumination = illumination;
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366 | this.sample = sample;
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367 | }
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368 |
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369 | /**
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370 | * Get the illumination.
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371 | * @return the illumination.
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372 | */
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373 | public double illumination() {
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374 | return illumination;
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375 | }
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376 |
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377 | /**
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378 | * Get the data value.
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379 | * @return the data value.
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380 | */
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381 | public double sample() {
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382 | return sample;
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383 | }
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384 | }
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385 | }
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