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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 "CSVFormat.h"
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17
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18 #include "base/StringBits.h"
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19
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20 #include <QFile>
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21 #include <QString>
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22 #include <QRegExp>
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23 #include <QStringList>
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24 #include <QTextStream>
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25
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26 #include <iostream>
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27
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28 #include "base/Debug.h"
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29
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30 CSVFormat::CSVFormat(QString path) :
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31 m_separator(""),
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32 m_sampleRate(44100),
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33 m_windowSize(1024),
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34 m_allowQuoting(true)
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35 {
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36 (void)guessFormatFor(path);
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37 }
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38
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39 bool
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40 CSVFormat::guessFormatFor(QString path)
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41 {
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42 m_modelType = TwoDimensionalModel;
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43 m_timingType = ExplicitTiming;
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44 m_timeUnits = TimeSeconds;
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45
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46 m_maxExampleCols = 0;
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47 m_columnCount = 0;
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48 m_variableColumnCount = false;
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49
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50 m_example.clear();
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51 m_columnQualities.clear();
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52 m_columnPurposes.clear();
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53 m_prevValues.clear();
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54
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55 QFile file(path);
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56 if (!file.exists()) {
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57 SVCERR << "CSVFormat::guessFormatFor(" << path
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58 << "): File does not exist" << endl;
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59 return false;
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60 }
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61 if (!file.open(QIODevice::ReadOnly | QIODevice::Text)) {
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62 SVCERR << "CSVFormat::guessFormatFor(" << path
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63 << "): File could not be opened for reading" << endl;
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64 return false;
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65 }
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66 SVDEBUG << "CSVFormat::guessFormatFor(" << path << ")" << endl;
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67
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68 QTextStream in(&file);
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69 in.seek(0);
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70
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71 int lineno = 0;
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72
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73 while (!in.atEnd()) {
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74
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75 // See comment about line endings in CSVFileReader::load()
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76
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77 QString chunk = in.readLine();
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78 QStringList lines = chunk.split('\r', QString::SkipEmptyParts);
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79
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80 for (int li = 0; li < lines.size(); ++li) {
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81
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82 QString line = lines[li];
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83 if (line.startsWith("#") || line == "") {
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84 continue;
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85 }
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86
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87 guessQualities(line, lineno);
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88
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89 ++lineno;
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90 }
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91
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92 if (lineno >= 150) break;
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93 }
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94
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95 guessPurposes();
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96 guessAudioSampleRange();
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97
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98 return true;
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99 }
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100
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101 void
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102 CSVFormat::guessSeparator(QString line)
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103 {
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104 QString candidates = "\t|,/: ";
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105
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106 for (int i = 0; i < candidates.length(); ++i) {
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107 auto bits = StringBits::split(line, candidates[i], m_allowQuoting);
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108 if (bits.size() >= 2) {
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109 m_plausibleSeparators.insert(candidates[i]);
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110 if (m_separator == "") {
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111 m_separator = candidates[i];
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112 SVDEBUG << "Estimated column separator: '" << m_separator
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113 << "'" << endl;
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114 }
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115 }
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116 }
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117 }
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118
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119 void
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120 CSVFormat::guessQualities(QString line, int lineno)
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121 {
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122 guessSeparator(line);
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123
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124 QStringList list = StringBits::split(line, getSeparator(), m_allowQuoting);
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125
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126 int cols = list.size();
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127 if (lineno == 0 || (cols > m_columnCount)) m_columnCount = cols;
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128 if (cols != m_columnCount) m_variableColumnCount = true;
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129
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130 // All columns are regarded as having these qualities until we see
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131 // something that indicates otherwise:
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132
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133 ColumnQualities defaultQualities =
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134 ColumnNumeric | ColumnIntegral | ColumnSmall |
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135 ColumnIncreasing | ColumnNearEmpty;
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136
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137 for (int i = 0; i < cols; ++i) {
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138
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139 while (m_columnQualities.size() <= i) {
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140 m_columnQualities.push_back(defaultQualities);
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141 m_prevValues.push_back(0.f);
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142 }
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143
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144 QString s(list[i]);
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145 bool ok = false;
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146
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147 ColumnQualities qualities = m_columnQualities[i];
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148
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Chris@1523
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149 // Looks like this is defined on Windows
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150 #undef small
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151
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152 bool numeric = (qualities & ColumnNumeric);
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153 bool integral = (qualities & ColumnIntegral);
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154 bool increasing = (qualities & ColumnIncreasing);
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155 bool small = (qualities & ColumnSmall);
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156 bool large = (qualities & ColumnLarge); // this one defaults to off
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157 bool signd = (qualities & ColumnSigned); // also defaults to off
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158 bool emptyish = (qualities & ColumnNearEmpty);
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159
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160 if (lineno > 1 && s.trimmed() != "") {
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161 emptyish = false;
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162 }
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163
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164 float value = 0.f;
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165
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166 //!!! how to take into account headers?
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167
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168 if (numeric) {
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169 value = s.toFloat(&ok);
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170 if (!ok) {
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171 value = (float)StringBits::stringToDoubleLocaleFree(s, &ok);
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172 }
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173 if (ok) {
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174 if (lineno < 2 && value > 1000.f) {
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175 large = true;
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176 }
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177 if (value < 0.f) {
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178 signd = true;
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179 }
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180 if (value < -1.f || value > 1.f) {
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181 small = false;
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182 }
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183 } else {
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184 numeric = false;
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185
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186 // If the column is not numeric, it can't be any of
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187 // these things either
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188 integral = false;
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189 increasing = false;
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190 small = false;
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191 large = false;
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192 signd = false;
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193 }
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194 }
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195
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196 if (numeric) {
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197
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198 if (integral) {
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199 if (s.contains('.') || s.contains(',')) {
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200 integral = false;
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201 }
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202 }
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203
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204 if (increasing) {
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205 if (lineno > 0 && value <= m_prevValues[i]) {
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206 increasing = false;
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207 }
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208 }
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209
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210 m_prevValues[i] = value;
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211 }
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212
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213 m_columnQualities[i] =
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214 (numeric ? ColumnNumeric : 0) |
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215 (integral ? ColumnIntegral : 0) |
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216 (increasing ? ColumnIncreasing : 0) |
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217 (small ? ColumnSmall : 0) |
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218 (large ? ColumnLarge : 0) |
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219 (signd ? ColumnSigned : 0) |
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220 (emptyish ? ColumnNearEmpty : 0);
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221 }
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222
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223 if (lineno < 10) {
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224 m_example.push_back(list);
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225 if (lineno == 0 || cols > m_maxExampleCols) {
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226 m_maxExampleCols = cols;
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227 }
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228 }
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229
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230 if (lineno < 10) {
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231 SVDEBUG << "Estimated column qualities for line " << lineno << " (reporting up to first 10): ";
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232 for (int i = 0; i < m_columnCount; ++i) {
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233 SVDEBUG << int(m_columnQualities[i]) << " ";
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234 }
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235 SVDEBUG << endl;
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236 }
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237 }
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238
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239 void
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240 CSVFormat::guessPurposes()
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241 {
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242 m_timingType = CSVFormat::ImplicitTiming;
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243 m_timeUnits = CSVFormat::TimeWindows;
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244
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245 int timingColumnCount = 0;
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246 bool haveDurationOrEndTime = false;
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247
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248 SVDEBUG << "Estimated column qualities overall: ";
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249 for (int i = 0; i < m_columnCount; ++i) {
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250 SVDEBUG << int(m_columnQualities[i]) << " ";
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251 }
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252 SVDEBUG << endl;
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253
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254 // if our first column has zero or one entries in it and the rest
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255 // have more, then we'll default to ignoring the first column and
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256 // counting the next one as primary. (e.g. Sonic Annotator output
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257 // with filename at start of first column.)
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258
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259 int primaryColumnNo = 0;
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260
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261 if (m_columnCount >= 2) {
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262 if ( (m_columnQualities[0] & ColumnNearEmpty) &&
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263 !(m_columnQualities[1] & ColumnNearEmpty)) {
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264 primaryColumnNo = 1;
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265 }
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266 }
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267
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268 for (int i = 0; i < m_columnCount; ++i) {
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269
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270 ColumnPurpose purpose = ColumnUnknown;
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271
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272 if (i < primaryColumnNo) {
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273 setColumnPurpose(i, purpose);
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274 continue;
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275 }
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276
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277 bool primary = (i == primaryColumnNo);
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278
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279 ColumnQualities qualities = m_columnQualities[i];
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280
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281 bool numeric = (qualities & ColumnNumeric);
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282 bool integral = (qualities & ColumnIntegral);
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283 bool increasing = (qualities & ColumnIncreasing);
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284 bool large = (qualities & ColumnLarge);
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285
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286 bool timingColumn = (numeric && increasing);
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287
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288 if (timingColumn) {
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289
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290 ++timingColumnCount;
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291
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292 if (primary) {
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293
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294 purpose = ColumnStartTime;
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295
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296 m_timingType = ExplicitTiming;
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297
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298 if (integral && large) {
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299 m_timeUnits = TimeAudioFrames;
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300 } else {
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301 m_timeUnits = TimeSeconds;
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302 }
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303
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304 } else {
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305
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306 if (timingColumnCount == 2 && m_timingType == ExplicitTiming) {
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307 purpose = ColumnEndTime;
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308 haveDurationOrEndTime = true;
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309 }
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310 }
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311 }
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312
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313 if (purpose == ColumnUnknown) {
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314 if (numeric) {
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315 purpose = ColumnValue;
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316 } else {
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317 purpose = ColumnLabel;
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318 }
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319 }
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320
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321 setColumnPurpose(i, purpose);
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322 }
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323
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324 int valueCount = 0;
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325 for (int i = 0; i < m_columnCount; ++i) {
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326 if (m_columnPurposes[i] == ColumnValue) ++valueCount;
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327 }
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328
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329 if (valueCount == 2 && timingColumnCount == 1) {
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Chris@630
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330 // If we have exactly two apparent value columns and only one
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331 // timing column, but one value column is integral and the
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332 // other is not, guess that whichever one matches the integral
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333 // status of the time column is either duration or end time
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Chris@630
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334 if (m_timingType == ExplicitTiming) {
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Chris@630
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335 int a = -1, b = -1;
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Chris@630
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336 for (int i = 0; i < m_columnCount; ++i) {
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Chris@630
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337 if (m_columnPurposes[i] == ColumnValue) {
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338 if (a == -1) a = i;
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339 else b = i;
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340 }
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Chris@630
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341 }
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Chris@630
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342 if ((m_columnQualities[a] & ColumnIntegral) !=
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343 (m_columnQualities[b] & ColumnIntegral)) {
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344 int timecol = a;
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Chris@630
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345 if ((m_columnQualities[a] & ColumnIntegral) !=
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346 (m_columnQualities[0] & ColumnIntegral)) {
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347 timecol = b;
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Chris@630
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348 }
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Chris@630
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349 if (m_columnQualities[timecol] & ColumnIncreasing) {
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Chris@630
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350 // This shouldn't happen; should have been settled above
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351 m_columnPurposes[timecol] = ColumnEndTime;
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352 haveDurationOrEndTime = true;
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Chris@630
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353 } else {
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354 m_columnPurposes[timecol] = ColumnDuration;
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Chris@1525
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355 haveDurationOrEndTime = true;
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Chris@630
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356 }
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Chris@630
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357 --valueCount;
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Chris@630
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358 }
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Chris@630
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359 }
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Chris@630
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360 }
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Chris@630
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361
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Chris@1525
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362 if (timingColumnCount > 1 || haveDurationOrEndTime) {
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363 m_modelType = TwoDimensionalModelWithDuration;
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364 } else {
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Chris@631
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365 if (valueCount == 0) {
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Chris@631
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366 m_modelType = OneDimensionalModel;
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Chris@631
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367 } else if (valueCount == 1) {
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Chris@631
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368 m_modelType = TwoDimensionalModel;
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Chris@631
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369 } else {
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370 m_modelType = ThreeDimensionalModel;
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Chris@631
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371 }
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Chris@629
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372 }
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373
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Chris@1362
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374 SVDEBUG << "Estimated column purposes: ";
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Chris@1362
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375 for (int i = 0; i < m_columnCount; ++i) {
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Chris@1362
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376 SVDEBUG << int(m_columnPurposes[i]) << " ";
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Chris@1362
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377 }
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Chris@1362
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378 SVDEBUG << endl;
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379
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Chris@1362
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380 SVDEBUG << "Estimated model type: " << m_modelType << endl;
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Chris@1362
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381 SVDEBUG << "Estimated timing type: " << m_timingType << endl;
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Chris@1362
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382 SVDEBUG << "Estimated units: " << m_timeUnits << endl;
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Chris@392
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383 }
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Chris@392
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384
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Chris@1515
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385 void
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Chris@1515
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386 CSVFormat::guessAudioSampleRange()
|
Chris@1515
|
387 {
|
Chris@1515
|
388 AudioSampleRange range = SampleRangeSigned1;
|
Chris@1515
|
389
|
Chris@1515
|
390 range = SampleRangeSigned1;
|
Chris@1515
|
391 bool knownSigned = false;
|
Chris@1515
|
392 bool knownNonIntegral = false;
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Chris@1521
|
393
|
Chris@1521
|
394 SVDEBUG << "CSVFormat::guessAudioSampleRange: starting with assumption of "
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Chris@1521
|
395 << range << endl;
|
Chris@1515
|
396
|
Chris@1515
|
397 for (int i = 0; i < m_columnCount; ++i) {
|
Chris@1521
|
398 if (m_columnPurposes[i] != ColumnValue) {
|
Chris@1521
|
399 SVDEBUG << "... column " << i
|
Chris@1521
|
400 << " is not apparently a value, ignoring" << endl;
|
Chris@1521
|
401 continue;
|
Chris@1521
|
402 }
|
Chris@1515
|
403 if (!(m_columnQualities[i] & ColumnIntegral)) {
|
Chris@1515
|
404 knownNonIntegral = true;
|
Chris@1515
|
405 if (range == SampleRangeUnsigned255 ||
|
Chris@1515
|
406 range == SampleRangeSigned32767) {
|
Chris@1515
|
407 range = SampleRangeOther;
|
Chris@1515
|
408 }
|
Chris@1521
|
409 SVDEBUG << "... column " << i
|
Chris@1521
|
410 << " is non-integral, updating range to " << range << endl;
|
Chris@1515
|
411 }
|
Chris@1515
|
412 if (m_columnQualities[i] & ColumnLarge) {
|
Chris@1515
|
413 if (range == SampleRangeSigned1 ||
|
Chris@1515
|
414 range == SampleRangeUnsigned255) {
|
Chris@1515
|
415 if (knownNonIntegral) {
|
Chris@1515
|
416 range = SampleRangeOther;
|
Chris@1515
|
417 } else {
|
Chris@1515
|
418 range = SampleRangeSigned32767;
|
Chris@1515
|
419 }
|
Chris@1515
|
420 }
|
Chris@1521
|
421 SVDEBUG << "... column " << i << " is large, updating range to "
|
Chris@1521
|
422 << range << endl;
|
Chris@1515
|
423 }
|
Chris@1515
|
424 if (m_columnQualities[i] & ColumnSigned) {
|
Chris@1515
|
425 knownSigned = true;
|
Chris@1515
|
426 if (range == SampleRangeUnsigned255) {
|
Chris@1515
|
427 range = SampleRangeSigned32767;
|
Chris@1515
|
428 }
|
Chris@1521
|
429 SVDEBUG << "... column " << i << " is signed, updating range to "
|
Chris@1521
|
430 << range << endl;
|
Chris@1515
|
431 }
|
Chris@1515
|
432 if (!(m_columnQualities[i] & ColumnSmall)) {
|
Chris@1515
|
433 if (range == SampleRangeSigned1) {
|
Chris@1515
|
434 if (knownNonIntegral) {
|
Chris@1515
|
435 range = SampleRangeOther;
|
Chris@1515
|
436 } else if (knownSigned) {
|
Chris@1515
|
437 range = SampleRangeSigned32767;
|
Chris@1515
|
438 } else {
|
Chris@1515
|
439 range = SampleRangeUnsigned255;
|
Chris@1515
|
440 }
|
Chris@1515
|
441 }
|
Chris@1521
|
442 SVDEBUG << "... column " << i << " is not small, updating range to "
|
Chris@1521
|
443 << range << endl;
|
Chris@1515
|
444 }
|
Chris@1515
|
445 }
|
Chris@1515
|
446
|
Chris@1521
|
447 SVDEBUG << "CSVFormat::guessAudioSampleRange: ended up with range "
|
Chris@1521
|
448 << range << endl;
|
Chris@1521
|
449
|
Chris@1515
|
450 m_audioSampleRange = range;
|
Chris@1515
|
451 }
|
Chris@1515
|
452
|
Chris@631
|
453 CSVFormat::ColumnPurpose
|
Chris@631
|
454 CSVFormat::getColumnPurpose(int i)
|
Chris@631
|
455 {
|
Chris@631
|
456 while (m_columnPurposes.size() <= i) {
|
Chris@631
|
457 m_columnPurposes.push_back(ColumnUnknown);
|
Chris@631
|
458 }
|
Chris@631
|
459 return m_columnPurposes[i];
|
Chris@631
|
460 }
|
Chris@629
|
461
|
Chris@631
|
462 CSVFormat::ColumnPurpose
|
Chris@631
|
463 CSVFormat::getColumnPurpose(int i) const
|
Chris@631
|
464 {
|
Chris@668
|
465 if (m_columnPurposes.size() <= i) {
|
Chris@668
|
466 return ColumnUnknown;
|
Chris@668
|
467 }
|
Chris@631
|
468 return m_columnPurposes[i];
|
Chris@631
|
469 }
|
Chris@631
|
470
|
Chris@631
|
471 void
|
Chris@631
|
472 CSVFormat::setColumnPurpose(int i, ColumnPurpose p)
|
Chris@631
|
473 {
|
Chris@631
|
474 while (m_columnPurposes.size() <= i) {
|
Chris@631
|
475 m_columnPurposes.push_back(ColumnUnknown);
|
Chris@631
|
476 }
|
Chris@631
|
477 m_columnPurposes[i] = p;
|
Chris@631
|
478 }
|
Chris@631
|
479
|
Chris@631
|
480
|
Chris@631
|
481
|
Chris@631
|
482
|