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1 /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */
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2
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3 /*
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4 Sonic Visualiser
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5 An audio file viewer and annotation editor.
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6 Centre for Digital Music, Queen Mary, University of London.
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7 This file copyright 2006 Chris Cannam.
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8
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9 This program is free software; you can redistribute it and/or
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10 modify it under the terms of the GNU General Public License as
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11 published by the Free Software Foundation; either version 2 of the
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12 License, or (at your option) any later version. See the file
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13 COPYING included with this distribution for more information.
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14 */
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15
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16 #include "CSVFileReader.h"
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17
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18 #include "model/Model.h"
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19 #include "base/RealTime.h"
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20 #include "base/StringBits.h"
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21 #include "model/SparseOneDimensionalModel.h"
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22 #include "model/SparseTimeValueModel.h"
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23 #include "model/EditableDenseThreeDimensionalModel.h"
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24 #include "model/RegionModel.h"
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25 #include "DataFileReaderFactory.h"
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26
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27 #include <QFile>
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28 #include <QString>
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29 #include <QRegExp>
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30 #include <QStringList>
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31 #include <QTextStream>
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32
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33 #include <iostream>
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34 #include <map>
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35
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36 CSVFileReader::CSVFileReader(QString path, CSVFormat format,
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37 size_t mainModelSampleRate) :
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38 m_format(format),
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39 m_file(0),
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40 m_warnings(0),
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41 m_mainModelSampleRate(mainModelSampleRate)
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42 {
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43 m_file = new QFile(path);
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44 bool good = false;
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45
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46 if (!m_file->exists()) {
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47 m_error = QFile::tr("File \"%1\" does not exist").arg(path);
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48 } else if (!m_file->open(QIODevice::ReadOnly | QIODevice::Text)) {
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49 m_error = QFile::tr("Failed to open file \"%1\"").arg(path);
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50 } else {
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51 good = true;
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52 }
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53
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54 if (!good) {
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55 delete m_file;
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56 m_file = 0;
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57 }
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58 }
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59
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60 CSVFileReader::~CSVFileReader()
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61 {
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62 SVDEBUG << "CSVFileReader::~CSVFileReader: file is " << m_file << endl;
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63
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64 if (m_file) {
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65 SVDEBUG << "CSVFileReader::CSVFileReader: Closing file" << endl;
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66 m_file->close();
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67 }
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68 delete m_file;
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69 }
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70
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71 bool
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72 CSVFileReader::isOK() const
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73 {
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74 return (m_file != 0);
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75 }
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76
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77 QString
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78 CSVFileReader::getError() const
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79 {
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80 return m_error;
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81 }
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82
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83 size_t
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84 CSVFileReader::convertTimeValue(QString s, int lineno, size_t sampleRate,
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85 size_t windowSize) const
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86 {
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87 QRegExp nonNumericRx("[^0-9eE.,+-]");
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88 unsigned int warnLimit = 10;
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89
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90 CSVFormat::TimeUnits timeUnits = m_format.getTimeUnits();
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91
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92 size_t calculatedFrame = 0;
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93
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94 bool ok = false;
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95 QString numeric = s;
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96 numeric.remove(nonNumericRx);
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97
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98 if (timeUnits == CSVFormat::TimeSeconds) {
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99
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100 double time = numeric.toDouble(&ok);
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101 if (!ok) time = StringBits::stringToDoubleLocaleFree(numeric, &ok);
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102 calculatedFrame = int(time * sampleRate + 0.5);
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103
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104 } else {
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105
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106 long n = numeric.toLong(&ok);
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107 if (n >= 0) calculatedFrame = n;
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108
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109 if (timeUnits == CSVFormat::TimeWindows) {
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110 calculatedFrame *= windowSize;
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111 }
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112 }
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113
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114 if (!ok) {
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115 if (m_warnings < warnLimit) {
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116 std::cerr << "WARNING: CSVFileReader::load: "
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117 << "Bad time format (\"" << s.toStdString()
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118 << "\") in data line "
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119 << lineno+1 << std::endl;
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120 } else if (m_warnings == warnLimit) {
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121 std::cerr << "WARNING: Too many warnings" << std::endl;
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122 }
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123 ++m_warnings;
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124 }
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125
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126 return calculatedFrame;
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127 }
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128
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129 Model *
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130 CSVFileReader::load() const
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131 {
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132 if (!m_file) return 0;
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133
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134 CSVFormat::ModelType modelType = m_format.getModelType();
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135 CSVFormat::TimingType timingType = m_format.getTimingType();
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136 CSVFormat::TimeUnits timeUnits = m_format.getTimeUnits();
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137 size_t sampleRate = m_format.getSampleRate();
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138 size_t windowSize = m_format.getWindowSize();
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139 QChar separator = m_format.getSeparator();
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140 bool allowQuoting = m_format.getAllowQuoting();
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141
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142 if (timingType == CSVFormat::ExplicitTiming) {
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143 if (modelType == CSVFormat::ThreeDimensionalModel) {
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144 // This will be overridden later if more than one line
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145 // appears in our file, but we want to choose a default
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146 // that's likely to be visible
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147 windowSize = 1024;
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148 } else {
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149 windowSize = 1;
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150 }
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151 if (timeUnits == CSVFormat::TimeSeconds) {
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152 sampleRate = m_mainModelSampleRate;
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153 }
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154 }
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155
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156 SparseOneDimensionalModel *model1 = 0;
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157 SparseTimeValueModel *model2 = 0;
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158 RegionModel *model2a = 0;
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159 EditableDenseThreeDimensionalModel *model3 = 0;
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160 Model *model = 0;
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161
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162 QTextStream in(m_file);
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163 in.seek(0);
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164
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165 unsigned int warnings = 0, warnLimit = 10;
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166 unsigned int lineno = 0;
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167
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168 float min = 0.0, max = 0.0;
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169
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170 size_t frameNo = 0;
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171 size_t duration = 0;
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172 size_t endFrame = 0;
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173
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174 bool haveAnyValue = false;
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175 bool haveEndTime = false;
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176
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177 size_t startFrame = 0; // for calculation of dense model resolution
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178 bool firstEverValue = true;
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179
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180 std::map<QString, int> labelCountMap;
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181
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182 int valueColumns = 0;
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183 for (int i = 0; i < m_format.getColumnCount(); ++i) {
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184 if (m_format.getColumnPurpose(i) == CSVFormat::ColumnValue) {
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185 ++valueColumns;
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186 }
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187 }
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188
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189 while (!in.atEnd()) {
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190
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191 // QTextStream's readLine doesn't cope with old-style Mac
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192 // CR-only line endings. Why did they bother making the class
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193 // cope with more than one sort of line ending, if it still
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194 // can't be configured to cope with all the common sorts?
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195
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196 // For the time being we'll deal with this case (which is
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197 // relatively uncommon for us, but still necessary to handle)
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198 // by reading the entire file using a single readLine, and
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199 // splitting it. For CR and CR/LF line endings this will just
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200 // read a line at a time, and that's obviously OK.
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201
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202 QString chunk = in.readLine();
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203 QStringList lines = chunk.split('\r', QString::SkipEmptyParts);
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204
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205 for (size_t li = 0; li < lines.size(); ++li) {
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206
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207 QString line = lines[li];
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208
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209 if (line.startsWith("#")) continue;
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210
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211 QStringList list = StringBits::split(line, separator, allowQuoting);
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212 if (!model) {
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213
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214 switch (modelType) {
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215
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216 case CSVFormat::OneDimensionalModel:
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217 model1 = new SparseOneDimensionalModel(sampleRate, windowSize);
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218 model = model1;
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219 break;
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220
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221 case CSVFormat::TwoDimensionalModel:
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222 model2 = new SparseTimeValueModel(sampleRate, windowSize, false);
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223 model = model2;
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224 break;
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225
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226 case CSVFormat::TwoDimensionalModelWithDuration:
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227 model2a = new RegionModel(sampleRate, windowSize, false);
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228 model = model2a;
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229 break;
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230
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231 case CSVFormat::ThreeDimensionalModel:
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232 model3 = new EditableDenseThreeDimensionalModel
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233 (sampleRate,
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234 windowSize,
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235 valueColumns,
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236 EditableDenseThreeDimensionalModel::NoCompression);
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237 model = model3;
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238 break;
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239 }
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240 }
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241
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242 float value = 0.f;
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243 QString label = "";
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244
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245 duration = 0.f;
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246 haveEndTime = false;
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247
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248 for (int i = 0; i < list.size(); ++i) {
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249
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250 QString s = list[i];
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251
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252 CSVFormat::ColumnPurpose purpose = m_format.getColumnPurpose(i);
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253
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254 switch (purpose) {
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255
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256 case CSVFormat::ColumnUnknown:
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257 break;
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258
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259 case CSVFormat::ColumnStartTime:
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260 frameNo = convertTimeValue(s, lineno, sampleRate, windowSize);
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261 break;
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262
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263 case CSVFormat::ColumnEndTime:
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264 endFrame = convertTimeValue(s, lineno, sampleRate, windowSize);
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265 haveEndTime = true;
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266 break;
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267
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268 case CSVFormat::ColumnDuration:
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269 duration = convertTimeValue(s, lineno, sampleRate, windowSize);
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270 break;
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271
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272 case CSVFormat::ColumnValue:
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273 value = s.toFloat();
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274 haveAnyValue = true;
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275 break;
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276
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277 case CSVFormat::ColumnLabel:
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278 label = s;
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279 ++labelCountMap[label];
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280 break;
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281 }
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282 }
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283
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284 if (haveEndTime) { // ... calculate duration now all cols read
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285 if (endFrame > frameNo) {
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286 duration = endFrame - frameNo;
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287 }
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288 }
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289
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290 if (modelType == CSVFormat::OneDimensionalModel) {
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291
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292 SparseOneDimensionalModel::Point point(frameNo, label);
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293 model1->addPoint(point);
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294
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295 } else if (modelType == CSVFormat::TwoDimensionalModel) {
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296
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297 SparseTimeValueModel::Point point(frameNo, value, label);
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298 model2->addPoint(point);
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299
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300 } else if (modelType == CSVFormat::TwoDimensionalModelWithDuration) {
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301
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302 RegionModel::Point point(frameNo, value, duration, label);
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303 model2a->addPoint(point);
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304
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305 } else if (modelType == CSVFormat::ThreeDimensionalModel) {
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306
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307 DenseThreeDimensionalModel::Column values;
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308
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309 for (int i = 0; i < list.size(); ++i) {
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310
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311 if (m_format.getColumnPurpose(i) != CSVFormat::ColumnValue) {
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312 continue;
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313 }
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314
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315 bool ok = false;
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316 float value = list[i].toFloat(&ok);
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317
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318 values.push_back(value);
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319
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320 if (firstEverValue || value < min) min = value;
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321 if (firstEverValue || value > max) max = value;
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322
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323 if (firstEverValue) {
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324 startFrame = frameNo;
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325 model3->setStartFrame(startFrame);
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326 } else if (lineno == 1 &&
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327 timingType == CSVFormat::ExplicitTiming) {
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328 model3->setResolution(frameNo - startFrame);
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329 }
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330
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331 firstEverValue = false;
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332
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333 if (!ok) {
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334 if (warnings < warnLimit) {
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335 std::cerr << "WARNING: CSVFileReader::load: "
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Chris@390
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336 << "Non-numeric value \""
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337 << list[i].toStdString()
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338 << "\" in data line " << lineno+1
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Chris@283
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339 << ":" << std::endl;
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340 std::cerr << line << std::endl;
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341 ++warnings;
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342 } else if (warnings == warnLimit) {
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343 // std::cerr << "WARNING: Too many warnings" << std::endl;
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344 }
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345 }
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346 }
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347
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348 // SVDEBUG << "Setting bin values for count " << lineno << ", frame "
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349 // << frameNo << ", time " << RealTime::frame2RealTime(frameNo, sampleRate) << endl;
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350
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351 model3->setColumn(lineno, values);
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352 }
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353
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354 ++lineno;
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355 if (timingType == CSVFormat::ImplicitTiming ||
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356 list.size() == 0) {
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357 frameNo += windowSize;
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358 }
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Chris@283
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359 }
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Chris@148
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360 }
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361
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362 if (!haveAnyValue) {
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363 if (model2a) {
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364 // assign values for regions based on label frequency; we
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365 // have this in our labelCountMap, sort of
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366
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367 std::map<int, std::map<QString, float> > countLabelValueMap;
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368 for (std::map<QString, int>::iterator i = labelCountMap.begin();
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369 i != labelCountMap.end(); ++i) {
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370 countLabelValueMap[i->second][i->first] = 0.f;
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371 }
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372
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373 float v = 0.f;
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374 for (std::map<int, std::map<QString, float> >::iterator i =
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375 countLabelValueMap.end(); i != countLabelValueMap.begin(); ) {
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376 --i;
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377 for (std::map<QString, float>::iterator j = i->second.begin();
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378 j != i->second.end(); ++j) {
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379 j->second = v;
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380 v = v + 1.f;
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381 }
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382 }
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383
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384 std::map<RegionModel::Point, RegionModel::Point,
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Chris@631
|
385 RegionModel::Point::Comparator> pointMap;
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Chris@631
|
386 for (RegionModel::PointList::const_iterator i =
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Chris@631
|
387 model2a->getPoints().begin();
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Chris@631
|
388 i != model2a->getPoints().end(); ++i) {
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Chris@631
|
389 RegionModel::Point p(*i);
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Chris@631
|
390 v = countLabelValueMap[labelCountMap[p.label]][p.label];
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Chris@631
|
391 RegionModel::Point pp(p.frame, v, p.duration, p.label);
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Chris@631
|
392 pointMap[p] = pp;
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Chris@631
|
393 }
|
Chris@631
|
394
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Chris@631
|
395 for (std::map<RegionModel::Point, RegionModel::Point>::iterator i =
|
Chris@631
|
396 pointMap.begin(); i != pointMap.end(); ++i) {
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Chris@631
|
397 model2a->deletePoint(i->first);
|
Chris@631
|
398 model2a->addPoint(i->second);
|
Chris@631
|
399 }
|
Chris@631
|
400 }
|
Chris@631
|
401 }
|
Chris@631
|
402
|
Chris@392
|
403 if (modelType == CSVFormat::ThreeDimensionalModel) {
|
Chris@148
|
404 model3->setMinimumLevel(min);
|
Chris@148
|
405 model3->setMaximumLevel(max);
|
Chris@148
|
406 }
|
Chris@148
|
407
|
Chris@148
|
408 return model;
|
Chris@148
|
409 }
|
Chris@148
|
410
|