1 | /**************************************************************************
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2 | *
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3 | * Terms.cpp -- Query related functions
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4 | * Copyright (C) 1999 Rodger McNab
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5 | *
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6 | * This program is free software; you can redistribute it and/or modify
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7 | * it under the terms of the GNU General Public License as published by
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8 | * the Free Software Foundation; either version 2 of the License, or
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9 | * (at your option) any later version.
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10 | *
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11 | * This program is distributed in the hope that it will be useful,
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12 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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13 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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14 | * GNU General Public License for more details.
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15 | *
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16 | * You should have received a copy of the GNU General Public License
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17 | * along with this program; if not, write to the Free Software
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18 | * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
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19 | *
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20 | **************************************************************************/
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21 |
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22 | #include "Terms.h"
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23 | #include "words.h"
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24 | #include "stemmer.h"
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25 | #include "bitio_gen.h"
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26 | #include "bitio_m_stdio.h"
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27 |
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28 | void QueryInfo::Clear () {
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29 | UCArrayClear (docLevel);
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30 | maxDocs = 0;
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31 | sortByRank = true;
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32 | exactWeights = false;
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33 | needRankInfo = false;
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34 | needTermFreqs = false;
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35 | }
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36 |
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37 |
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38 |
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39 | void TermFreqData::Clear () {
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40 | UCArrayClear (tag);
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41 | UCArrayClear (term);
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42 | equivTerms.erase(equivTerms.begin(), equivTerms.end());
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43 | stemMethod = 0;
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44 | matchDocs = 0;
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45 | termFreq = 0;
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46 | }
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47 |
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48 | ostream &operator<< (ostream &s, const TermFreqData &t) {
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49 | s << "<" << t.tag << ">\"" << t.term << "\"stem("
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50 | << t.stemMethod << ")equiv terms(";
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51 |
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52 | unsigned long i;
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53 | for (i=0; i<t.equivTerms.size(); i++) {
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54 | s << t.equivTerms[i] << ", ";
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55 | }
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56 | s <<")docs(" << t.matchDocs << ")"
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57 | << "count("<<t.termFreq<<")";
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58 | return s;
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59 | }
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60 |
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61 | bool operator== (const TermFreqData &t1, const TermFreqData &t2) {
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62 | return ((t1.tag == t2.tag) &&
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63 | (t1.term == t2.term) &&
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64 | (t1.stemMethod == t2.stemMethod) &&
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65 | (t1.equivTerms == t2.equivTerms) &&
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66 | (t1.matchDocs == t2.matchDocs) &&
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67 | (t1.termFreq == t2.termFreq));
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68 | }
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69 |
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70 |
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71 | void QueryResult::Clear () {
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72 | docs.erase (docs.begin(), docs.end());
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73 | ranks.erase (ranks.begin(), ranks.end());
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74 | termFreqs.erase (termFreqs.begin(), termFreqs.end());
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75 | actualNumDocs = 0;
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76 | }
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77 |
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78 | QueryResult::QueryResult () {
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79 | Clear ();
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80 | }
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81 |
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82 | void QueryResult::printShort(ostream &s) {
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83 |
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84 | s << "termFreqs: ";
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85 | for (unsigned long i=0; i<termFreqs.size(); i++)
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86 | s << termFreqs[i] << ", ";
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87 |
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88 | s << "\nactual number of docs found: " << actualNumDocs;
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89 | s << "\n\n";
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90 |
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91 | }
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92 |
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93 |
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94 | ostream &operator<< (ostream &s, const QueryResult &r) {
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95 | s << "docs: ";
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96 | unsigned long i;
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97 | for (i=0; i<r.docs.size(); i++)
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98 | s << r.docs[i] << ", ";
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99 |
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100 | s << "\nranks: ";
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101 | for (i=0; i<r.ranks.size(); i++)
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102 | s << r.ranks[i] << ", ";
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103 |
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104 | s << "\ntermFreqs: ";
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105 | for (i=0; i<r.termFreqs.size(); i++)
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106 | s << r.termFreqs[i] << ", ";
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107 |
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108 | s << "\nactual number of docs found: " << r.actualNumDocs;
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109 | s << "\n\n";
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110 |
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111 | return s;
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112 | }
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113 |
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114 |
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115 | bool operator== (const QueryResult &r1, const QueryResult &r2) {
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116 | return ((r1.docs == r2.docs) &&
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117 | (r1.ranks == r2.ranks) &&
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118 | (r1.termFreqs == r2.termFreqs) &&
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119 | (r1.actualNumDocs == r2.actualNumDocs));
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120 | }
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121 |
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122 | //---------------------------------------------------
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123 | // new ExtQueryResult stuff
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124 | void ExtQueryResult::Clear () {
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125 | docs.erase (docs.begin(), docs.end());
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126 | levels.erase (levels.begin(), levels.end());
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127 | ranks.erase (ranks.begin(), ranks.end());
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128 | termFreqs.erase (termFreqs.begin(), termFreqs.end());
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129 | actualNumDocs = 0;
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130 | }
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131 |
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132 | ExtQueryResult::ExtQueryResult () {
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133 | Clear ();
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134 | }
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135 |
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136 | ostream &operator<< (ostream &s, const ExtQueryResult &r) {
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137 | s << "docs: ";
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138 | unsigned long i;
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139 | for (i=0; i<r.docs.size(); i++)
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140 | s << r.docs[i] << ", ";
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141 |
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142 | s << "\nlevels: ";
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143 | for (i=0; i<r.levels.size(); i++)
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144 | s << r.levels[i] << ", ";
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145 |
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146 |
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147 | s << "\nranks: ";
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148 | for (i=0; i<r.ranks.size(); i++)
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149 | s << r.ranks[i] << ", ";
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150 |
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151 | s << "\ntermFreqs: ";
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152 | for (i=0; i<r.termFreqs.size(); i++)
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153 | s << r.termFreqs[i] << ", ";
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154 | s << "\nactual number of docs found: " << r.actualNumDocs;
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155 | s << "\n\n";
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156 |
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157 | return s;
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158 | }
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159 |
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160 |
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161 | bool operator== (const ExtQueryResult &r1, const ExtQueryResult &r2) {
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162 | return ((r1.docs == r2.docs) &&
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163 | (r1.levels == r2.levels) &&
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164 | (r1.ranks == r2.ranks) &&
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165 | (r1.termFreqs == r2.termFreqs) &&
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166 | (r1.actualNumDocs == r2.actualNumDocs));
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167 | }
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168 |
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169 | //-------------------------------------------------------
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170 | // new BrowseQueryResult stuff
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171 | void BrowseQueryResult::Clear () {
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172 | termFreqs.erase (termFreqs.begin(), termFreqs.end());
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173 | }
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174 |
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175 | BrowseQueryResult::BrowseQueryResult () {
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176 | Clear ();
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177 | }
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178 |
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179 |
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180 |
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181 | ostream &operator<< (ostream &s, const BrowseQueryResult &r) {
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182 | s << "terms: ";
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183 | unsigned long i;
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184 | for (i=0; i<r.termFreqs.size(); i++)
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185 | s << r.termFreqs[i] << ", ";
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186 | s << "\n\n";
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187 | return s;
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188 | }
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189 |
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190 |
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191 | bool operator== (const BrowseQueryResult &r1, const BrowseQueryResult &r2) {
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192 | return ((r1.termFreqs == r2.termFreqs));
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193 |
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194 | }
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195 |
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196 |
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197 |
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198 |
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199 | //--------------------------------------
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200 | void FragData::Clear () {
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201 | matchDocs = 0;
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202 | fragNums.erase (fragNums.begin(), fragNums.end());
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203 | fragFreqs.erase (fragFreqs.begin(), fragFreqs.end());
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204 | }
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205 |
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206 |
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207 |
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208 |
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209 | void FindWordNumbers (IndexData &indexData,
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210 | const UCArray &term,
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211 | unsigned long stemMethod,
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212 | vector<unsigned long> &equivWords) {
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213 | equivWords.erase (equivWords.begin(), equivWords.end());
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214 |
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215 | if (stemMethod == 0) {
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216 | // don't need to stem the word,
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217 | // find the word number for this term
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218 | unsigned long wordElNum = 0;
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219 | unsigned long numLevels = indexData.bdh.num_levels;
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220 | word_block_dict_el wordDictEl;
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221 | wordDictEl.SetNumLevels (numLevels);
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222 | if (SearchWordBlockDictEl (indexData.dictFile, indexData.biWords,
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223 | indexData.bdh.entries_per_wblk,
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224 | indexData.bdh.word_dict_size,
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225 | numLevels, term, wordDictEl, wordElNum))
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226 | equivWords.push_back (wordElNum);
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227 |
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228 | return;
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229 |
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230 | }
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231 |
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232 |
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233 | // need to stem this word and find it in the blocked stem index
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234 |
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235 | unsigned char mgWord[MAXSTEMLEN + 1];
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236 | UCArray stemTerm;
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237 | unsigned long stemmerNum = 0;
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238 |
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239 | if (stemMethod == 1) stemmerNum = indexData.sih1.stemmer_num;
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240 | else if (stemMethod == 2) stemmerNum = indexData.sih2.stemmer_num;
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241 | else if (stemMethod == 3) stemmerNum = indexData.sih3.stemmer_num;
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242 |
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243 |
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244 | // convert the word to an "mg word"
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245 | mgWord[0] = term.size();
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246 | memcpy ((char *)&mgWord[1], &(term[0]), term.size());
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247 |
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248 | // stem the word
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249 | stemmer (stemMethod, stemmerNum, mgWord);
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250 |
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251 | // convert the result back to a UCArray
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252 | stemTerm.insert (stemTerm.end(), &mgWord[1], &mgWord[1] + mgWord[0]);
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253 |
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254 | // need to look up this term in the appropriate dictionary
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255 | stem_block_dict_el stemDictEl;
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256 | unsigned long stemElNum;
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257 | bool result = false;
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258 | if (stemMethod == 1) {
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259 | result = SearchStemBlockDictEl (indexData.stem1File,
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260 | indexData.sii1,
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261 | indexData.sih1.entries_per_block,
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262 | indexData.sih1.dict_size,
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263 | stemTerm,
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264 | stemDictEl,
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265 | stemElNum);
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266 |
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267 | } else if (stemMethod == 2) {
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268 | result = SearchStemBlockDictEl (indexData.stem2File,
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269 | indexData.sii2,
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270 | indexData.sih2.entries_per_block,
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271 | indexData.sih2.dict_size,
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272 | stemTerm,
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273 | stemDictEl,
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274 | stemElNum);
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275 |
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276 | } else if (stemMethod == 3) {
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277 | result = SearchStemBlockDictEl (indexData.stem3File,
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278 | indexData.sii3,
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279 | indexData.sih3.entries_per_block,
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280 | indexData.sih3.dict_size,
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281 | stemTerm,
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282 | stemDictEl,
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283 | stemElNum);
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284 | }
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285 |
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286 | if (result) {
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287 | equivWords = stemDictEl.equivWords;
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288 | }
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289 | }
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290 |
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291 |
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292 |
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293 | void ReadTermFragData (IndexData &indexData,
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294 | bool needFragFreqs,
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295 | unsigned long termNum,
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296 | FragData &fragData,
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297 | FragRangeArray *fragLimits,
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298 | UCArray & termWord) {
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299 | fragData.Clear();
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300 |
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301 | // look up the word in the dictionary
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302 | unsigned long numLevels = indexData.bdh.num_levels;
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303 | word_block_dict_el wordDictEl;
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304 | wordDictEl.SetNumLevels (numLevels);
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305 | if (!SearchWordBlockDictElNum (indexData.dictFile,
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306 | indexData.biWords,
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307 | indexData.bdh.entries_per_wblk,
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308 | indexData.bdh.word_dict_size,
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309 | numLevels,
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310 | termNum, wordDictEl))
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311 | return; // nothing more to do
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312 |
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313 | fragData.matchDocs = wordDictEl.levelFreqs[indexData.curLevelNum];
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314 | termWord = wordDictEl.el;
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315 | // seek to the appropriate place in the inverted file
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316 | fseek (indexData.invfFile, wordDictEl.invf_ptr, SEEK_SET);
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317 | stdio_bitio_buffer buffer (indexData.invfFile);
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318 |
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319 | unsigned long B = BIO_Bblock_Init (indexData.bdh.num_frags,
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320 | wordDictEl.frag_occur);
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321 | unsigned long fragNum = 0;
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322 | unsigned long termFreq = 0;
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323 |
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324 | unsigned long fragLimitI = 0;
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325 | unsigned long i;
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326 | for (i=0; i<wordDictEl.frag_occur; i++) {
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327 | fragNum += buffer.bblock_decode (B, NULL);
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328 | if (!indexData.ifh.word_level_index) termFreq = buffer.gamma_decode (NULL);
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329 | else termFreq = 1;
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330 |
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331 | // get the right fragment range
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332 | if (fragLimits != NULL) {
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333 | while (fragLimitI+1 < (*fragLimits).size() &&
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334 | fragNum > (*fragLimits)[fragLimitI+1].rangeStart) {
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335 | fragLimitI++;
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336 | }
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337 | }
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338 |
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339 | // add the entry if it is within the limits
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340 | if ((fragLimits == NULL) ||
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341 | (fragLimitI < (*fragLimits).size() &&
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342 | fragNum > (*fragLimits)[fragLimitI].rangeStart &&
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343 | fragNum <= (*fragLimits)[fragLimitI].rangeEnd)) {
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344 | fragData.fragNums.push_back (fragNum);
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345 | if (needFragFreqs)
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346 | fragData.fragFreqs.push_back (termFreq);
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347 | }
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348 | }
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349 |
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350 | buffer.done();
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351 | }
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352 |
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353 |
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354 | void CombineFragData (bool needFragFreqs,
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355 | const FragData &f1,
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356 | const FragData &f2,
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357 | FragData &outFragData) {
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358 | outFragData.Clear();
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359 |
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360 | // the new number of matching documents is the maximum
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361 | // of the two input matching number of documents -- it
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362 | // is assumed that these are at the same document level
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363 | outFragData.matchDocs = (f1.matchDocs > f2.matchDocs) ?
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364 | f1.matchDocs : f2.matchDocs;
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365 |
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366 | // do or
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367 | unsigned long f1I = 0, f1Size = f1.fragNums.size();
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368 | unsigned long f2I = 0, f2Size = f2.fragNums.size();
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369 | while (f1I < f1Size || f2I < f2Size) {
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370 | if (f2I < f2Size &&
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371 | (f1I >= f1Size ||
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372 | f1.fragNums[f1I] > f2.fragNums[f2I])) {
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373 | // output f2I
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374 | outFragData.fragNums.push_back (f2.fragNums[f2I]);
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375 | if (needFragFreqs)
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376 | outFragData.fragFreqs.push_back (f2.fragFreqs[f2I]);
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377 | f2I++;
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378 |
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379 | } else if (f1I < f1Size &&
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380 | (f2I >= f2Size ||
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381 | f1.fragNums[f1I] < f2.fragNums[f2I])) {
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382 | // output f1I
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383 | outFragData.fragNums.push_back (f1.fragNums[f1I]);
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384 | if (needFragFreqs)
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385 | outFragData.fragFreqs.push_back (f1.fragFreqs[f1I]);
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386 | f1I++;
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387 |
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388 | } else {
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389 | // must be equal combine f1I and f2I
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390 | outFragData.fragNums.push_back (f1.fragNums[f1I]);
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391 | if (needFragFreqs)
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392 | outFragData.fragFreqs.push_back (f1.fragFreqs[f1I]+f2.fragFreqs[f2I]);
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393 | f1I++;
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394 | f2I++;
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395 | }
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396 | }
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397 | }
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398 |
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399 |
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400 | void AndCombineFragData (bool needFragFreqs,
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401 | FragData &fragData,
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402 | const FragData &comFragData,
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403 | signed long startRange,
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404 | signed long endRange,
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405 | const FragRangeArray *fragLimits) {
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406 | // sanity check on range
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407 | if (startRange > endRange) {
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408 | signed long temp = endRange;
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409 | endRange = startRange;
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410 | startRange = temp;
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411 | }
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412 |
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413 | // get min matchdocs
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414 | if (comFragData.matchDocs < fragData.matchDocs)
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415 | fragData.matchDocs = comFragData.matchDocs;
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416 |
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417 | unsigned long fragDataI = 0;
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418 | unsigned long fragDataSize = fragData.fragNums.size();
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419 | unsigned long comFragDataI = 0;
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420 | unsigned long comFragDataSize = comFragData.fragNums.size();
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421 | unsigned long fragLimitI = 0;
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422 | unsigned long fragLimitSize = (fragLimits==NULL) ? 0 : (*fragLimits).size();
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423 | unsigned long outI = 0;
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424 |
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425 | while (fragDataI < fragDataSize &&
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426 | comFragDataI < comFragDataSize) {
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427 | signed long fragNum = (signed long)fragData.fragNums[fragDataI];
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428 | signed long comFragNum = (signed long)comFragData.fragNums[comFragDataI];
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429 |
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430 | // go to the right fragment limit (for the com frag)
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431 | if (fragLimits != NULL) {
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432 | while (fragLimitI+1 < fragLimitSize &&
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433 | comFragNum > (signed long)(*fragLimits)[fragLimitI+1].rangeStart) {
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434 | fragLimitI++;
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435 | }
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436 | }
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437 |
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438 | if (fragNum <= comFragNum+startRange ||
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439 | (fragLimits!=NULL &&
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440 | fragNum<=(signed long)(*fragLimits)[fragLimitI].rangeStart)) {
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441 | fragDataI++;
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442 |
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443 | } else if (fragNum > comFragNum+endRange ||
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444 | (fragLimits!=NULL &&
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445 | fragNum>(signed long)(*fragLimits)[fragLimitI].rangeEnd)) {
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446 | comFragDataI++;
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447 |
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448 | } else {
|
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449 | // equal and within tag
|
---|
450 | fragData.fragNums[outI] = comFragNum;
|
---|
451 | if (needFragFreqs) {
|
---|
452 | fragData.fragFreqs[outI] =
|
---|
453 | (fragData.fragFreqs[fragDataI] < comFragData.fragFreqs[comFragDataI]) ?
|
---|
454 | fragData.fragFreqs[fragDataI] : comFragData.fragFreqs[comFragDataI];
|
---|
455 | }
|
---|
456 | fragDataI++;
|
---|
457 | comFragDataI++;
|
---|
458 | outI++;
|
---|
459 | }
|
---|
460 | }
|
---|
461 |
|
---|
462 | // erase unused part of fragData
|
---|
463 | fragData.fragNums.erase (fragData.fragNums.begin()+outI,
|
---|
464 | fragData.fragNums.end());
|
---|
465 | if (needFragFreqs)
|
---|
466 | fragData.fragFreqs.erase (fragData.fragFreqs.begin()+outI,
|
---|
467 | fragData.fragFreqs.end());
|
---|
468 | else
|
---|
469 | fragData.fragFreqs.erase (fragData.fragFreqs.begin(),
|
---|
470 | fragData.fragFreqs.end());
|
---|
471 | }
|
---|
472 |
|
---|
473 |
|
---|
474 | void FragsToQueryResult (IndexData &indexData,
|
---|
475 | const QueryInfo &queryInfo,
|
---|
476 | const FragData &termData,
|
---|
477 | const UCArray &tag,
|
---|
478 | const UCArray &term,
|
---|
479 | unsigned long stemMethod,
|
---|
480 | unsigned long termWeight,
|
---|
481 | UCArrayVector &equivTerms,
|
---|
482 | QueryResult &result) {
|
---|
483 | bool needRanks = (queryInfo.sortByRank || queryInfo.needRankInfo);
|
---|
484 |
|
---|
485 | result.Clear();
|
---|
486 |
|
---|
487 | // log (N / ft)
|
---|
488 | unsigned long N = indexData.levels.levelInfo[indexData.curLevel].numEntries;
|
---|
489 | float wordLog = log((double)N / (double)termData.matchDocs);
|
---|
490 |
|
---|
491 | // Wqt = fqt * log (N / ft)
|
---|
492 | // note: terms are allowed to have a weight of zero so
|
---|
493 | // they can be excluded from the ranking
|
---|
494 | float Wqt = termWeight * wordLog;
|
---|
495 |
|
---|
496 | // Wdt = fdt * log (N / ft)
|
---|
497 | float Wdt;
|
---|
498 |
|
---|
499 | unsigned long termDataI = 0;
|
---|
500 | unsigned long termDataSize = termData.fragNums.size();
|
---|
501 | unsigned long levelDocNum = 0;
|
---|
502 |
|
---|
503 | unsigned long termDocFreq = 0;
|
---|
504 | unsigned long lastLevelDocNum = 0;
|
---|
505 | unsigned long overallwordfreq = 0;
|
---|
506 |
|
---|
507 | while (termDataI < termDataSize) {
|
---|
508 | if (indexData.levelConverter.FragToLevel (termData.fragNums[termDataI],
|
---|
509 | levelDocNum)) {
|
---|
510 | if (levelDocNum != lastLevelDocNum) {
|
---|
511 | if (lastLevelDocNum > 0) {
|
---|
512 | // add this doc information
|
---|
513 | if (needRanks) {
|
---|
514 | Wdt = termDocFreq * wordLog;
|
---|
515 | result.ranks.push_back (Wqt * Wdt);
|
---|
516 | }
|
---|
517 | result.docs.push_back (lastLevelDocNum);
|
---|
518 | }
|
---|
519 |
|
---|
520 | lastLevelDocNum = levelDocNum;
|
---|
521 | termDocFreq = 0;
|
---|
522 | }
|
---|
523 |
|
---|
524 | if (needRanks){
|
---|
525 | termDocFreq += termData.fragFreqs[termDataI];
|
---|
526 | overallwordfreq += termData.fragFreqs[termDataI];
|
---|
527 | }
|
---|
528 | }
|
---|
529 | termDataI++;
|
---|
530 | }
|
---|
531 |
|
---|
532 | if (lastLevelDocNum > 0) {
|
---|
533 | // add the last document information
|
---|
534 | if (needRanks) {
|
---|
535 | Wdt = termDocFreq * wordLog;
|
---|
536 | result.ranks.push_back (Wqt * Wdt);
|
---|
537 | }
|
---|
538 | result.docs.push_back (lastLevelDocNum);
|
---|
539 | }
|
---|
540 |
|
---|
541 | // add the term frequency information
|
---|
542 | if (queryInfo.needTermFreqs) {
|
---|
543 | TermFreqData termFreqData;
|
---|
544 | termFreqData.tag = tag;
|
---|
545 | termFreqData.term = term;
|
---|
546 | termFreqData.stemMethod = stemMethod;
|
---|
547 | termFreqData.equivTerms = equivTerms;
|
---|
548 | termFreqData.matchDocs = termData.matchDocs;
|
---|
549 | termFreqData.termFreq = overallwordfreq; // will be zero if needRankInfo
|
---|
550 | //not true
|
---|
551 | result.termFreqs.push_back (termFreqData);
|
---|
552 | }
|
---|
553 | }
|
---|
554 |
|
---|
555 | void AndFragsToQueryResult (IndexData &indexData,
|
---|
556 | const QueryInfo &queryInfo,
|
---|
557 | const FragData &termData,
|
---|
558 | const UCArray &tag,
|
---|
559 | const UCArray &term,
|
---|
560 | unsigned long stemMethod,
|
---|
561 | unsigned long termWeight,
|
---|
562 | UCArrayVector &equivTerms,
|
---|
563 | QueryResult &result) {
|
---|
564 | bool needRanks = (queryInfo.sortByRank || queryInfo.needRankInfo);
|
---|
565 |
|
---|
566 | // log (N / ft)
|
---|
567 | float wordLog =
|
---|
568 | log((double)indexData.levels.levelInfo[indexData.curLevel].numEntries/
|
---|
569 | (double)termData.matchDocs);
|
---|
570 |
|
---|
571 | // Wqt = fqt * log (N / ft)
|
---|
572 | // note: terms are allowed to have a weight of zero so
|
---|
573 | // they can be excluded from the ranking
|
---|
574 | float Wqt = termWeight * wordLog;
|
---|
575 |
|
---|
576 | // Wdt = fdt * log (N / ft)
|
---|
577 | float Wdt;
|
---|
578 |
|
---|
579 | unsigned long termDataI = 0;
|
---|
580 | unsigned long termDataSize = termData.fragNums.size();
|
---|
581 | unsigned long levelDocNum = 0;
|
---|
582 |
|
---|
583 | unsigned long termDocFreq = 0;
|
---|
584 | unsigned long lastLevelDocNum = 0;
|
---|
585 | unsigned long overallwordfreq = 0;
|
---|
586 | unsigned long resultI = 0;
|
---|
587 | unsigned long resultSize = result.docs.size();
|
---|
588 | unsigned long resultOutI = 0;
|
---|
589 |
|
---|
590 |
|
---|
591 | while (termDataI < termDataSize) {
|
---|
592 | if (indexData.levelConverter.FragToLevel (termData.fragNums[termDataI],
|
---|
593 | levelDocNum)) {
|
---|
594 | if (levelDocNum != lastLevelDocNum) {
|
---|
595 | if (lastLevelDocNum > 0) {
|
---|
596 | // add this doc information
|
---|
597 | Wdt = termDocFreq * wordLog;
|
---|
598 |
|
---|
599 | // find this document number
|
---|
600 | while (resultI < resultSize &&
|
---|
601 | result.docs[resultI] < lastLevelDocNum)
|
---|
602 | resultI++;
|
---|
603 |
|
---|
604 | // store the result
|
---|
605 | if (resultI < resultSize && result.docs[resultI] == lastLevelDocNum) {
|
---|
606 | result.docs[resultOutI] = lastLevelDocNum;
|
---|
607 | if (needRanks)
|
---|
608 | result.ranks[resultOutI] = result.ranks[resultI] + Wqt * Wdt;
|
---|
609 | resultI++;
|
---|
610 | resultOutI++;
|
---|
611 | }
|
---|
612 | }
|
---|
613 |
|
---|
614 | lastLevelDocNum = levelDocNum;
|
---|
615 | termDocFreq = 0;
|
---|
616 | }
|
---|
617 |
|
---|
618 | if (needRanks)
|
---|
619 | termDocFreq += termData.fragFreqs[termDataI];
|
---|
620 | overallwordfreq += termData.fragFreqs[termDataI];
|
---|
621 | }
|
---|
622 |
|
---|
623 | termDataI++;
|
---|
624 | } // while
|
---|
625 |
|
---|
626 | if (lastLevelDocNum > 0) {
|
---|
627 | // add the last document information
|
---|
628 | Wdt = termDocFreq * wordLog;
|
---|
629 |
|
---|
630 | // find this document number
|
---|
631 | while (resultI < resultSize &&
|
---|
632 | result.docs[resultI] < lastLevelDocNum)
|
---|
633 | resultI++;
|
---|
634 |
|
---|
635 | // store the result
|
---|
636 | if (resultI < resultSize && result.docs[resultI] == lastLevelDocNum) {
|
---|
637 | result.docs[resultOutI] = lastLevelDocNum;
|
---|
638 | if (needRanks)
|
---|
639 | result.ranks[resultOutI] = result.ranks[resultI] + Wqt * Wdt;
|
---|
640 | resultI++;
|
---|
641 | resultOutI++;
|
---|
642 | }
|
---|
643 | }
|
---|
644 |
|
---|
645 | // remove unneeded entries
|
---|
646 | result.docs.erase (result.docs.begin()+resultOutI, result.docs.end());
|
---|
647 | if (needRanks)
|
---|
648 | result.ranks.erase (result.ranks.begin()+resultOutI, result.ranks.end());
|
---|
649 | else
|
---|
650 | result.ranks.erase (result.ranks.begin(), result.ranks.end());
|
---|
651 |
|
---|
652 | // add the term frequency information
|
---|
653 | if (queryInfo.needTermFreqs) {
|
---|
654 | TermFreqData termFreqData;
|
---|
655 | termFreqData.tag = tag;
|
---|
656 | termFreqData.term = term;
|
---|
657 | termFreqData.stemMethod = stemMethod;
|
---|
658 | termFreqData.equivTerms = equivTerms;
|
---|
659 | termFreqData.matchDocs = termData.matchDocs;
|
---|
660 | termFreqData.termFreq = overallwordfreq;
|
---|
661 | result.termFreqs.push_back (termFreqData);
|
---|
662 | }
|
---|
663 | }
|
---|
664 |
|
---|
665 |
|
---|
666 | void RemoveUnwantedResults (IndexData &indexData,
|
---|
667 | const QueryInfo &queryInfo,
|
---|
668 | const FragData &termData,
|
---|
669 | QueryResult &result) {
|
---|
670 | bool needRanks = (queryInfo.sortByRank || queryInfo.needRankInfo);
|
---|
671 |
|
---|
672 | unsigned long termDataI = 0;
|
---|
673 | unsigned long termDataSize = termData.fragNums.size();
|
---|
674 | unsigned long levelDocNum = 0;
|
---|
675 |
|
---|
676 | unsigned long lastLevelDocNum = 0;
|
---|
677 |
|
---|
678 | unsigned long resultI = 0;
|
---|
679 | unsigned long resultSize = result.docs.size();
|
---|
680 | unsigned long resultOutI = 0;
|
---|
681 |
|
---|
682 | while (termDataI < termDataSize) {
|
---|
683 | if (indexData.levelConverter.FragToLevel (termData.fragNums[termDataI],
|
---|
684 | levelDocNum)) {
|
---|
685 | if (levelDocNum != lastLevelDocNum) {
|
---|
686 | if (lastLevelDocNum > 0) {
|
---|
687 | // find this document number
|
---|
688 | while (resultI < resultSize &&
|
---|
689 | result.docs[resultI] < lastLevelDocNum)
|
---|
690 | resultI++;
|
---|
691 |
|
---|
692 | // store the result
|
---|
693 | if (resultI < resultSize && result.docs[resultI] == lastLevelDocNum) {
|
---|
694 | result.docs[resultOutI] = lastLevelDocNum;
|
---|
695 | if (needRanks)
|
---|
696 | result.ranks[resultOutI] = result.ranks[resultI];
|
---|
697 | resultI++;
|
---|
698 | resultOutI++;
|
---|
699 | }
|
---|
700 | }
|
---|
701 |
|
---|
702 | lastLevelDocNum = levelDocNum;
|
---|
703 | }
|
---|
704 | }
|
---|
705 |
|
---|
706 | termDataI++;
|
---|
707 | }
|
---|
708 |
|
---|
709 | if (lastLevelDocNum > 0) {
|
---|
710 | // find this document number
|
---|
711 | while (resultI < resultSize &&
|
---|
712 | result.docs[resultI] < lastLevelDocNum)
|
---|
713 | resultI++;
|
---|
714 |
|
---|
715 | // store the result
|
---|
716 | if (resultI < resultSize && result.docs[resultI] == lastLevelDocNum) {
|
---|
717 | result.docs[resultOutI] = lastLevelDocNum;
|
---|
718 | if (needRanks)
|
---|
719 | result.ranks[resultOutI] = result.ranks[resultI];
|
---|
720 | resultI++;
|
---|
721 | resultOutI++;
|
---|
722 | }
|
---|
723 | }
|
---|
724 |
|
---|
725 | // remove unneeded entries
|
---|
726 | result.docs.erase (result.docs.begin()+resultOutI, result.docs.end());
|
---|
727 | if (needRanks)
|
---|
728 | result.ranks.erase (result.ranks.begin()+resultOutI, result.ranks.end());
|
---|
729 | else
|
---|
730 | result.ranks.erase (result.ranks.begin(), result.ranks.end());
|
---|
731 | }
|
---|
732 |
|
---|
733 |
|
---|
734 |
|
---|
735 | //--------------------------------------------------------------
|
---|
736 | // functions to support full text browse
|
---|
737 |
|
---|
738 | void FindNearestWordNumber (IndexData &indexData,
|
---|
739 | const UCArray &term,
|
---|
740 | unsigned long &number) {
|
---|
741 |
|
---|
742 | // find the word number for this term
|
---|
743 | unsigned long wordElNum = 0;
|
---|
744 | unsigned long numLevels = indexData.bdh.num_levels;
|
---|
745 | word_block_dict_el wordDictEl;
|
---|
746 | wordDictEl.SetNumLevels (numLevels);
|
---|
747 | if (NearestSearchWordBlockDictEl (indexData.dictFile, indexData.biWords,
|
---|
748 | indexData.bdh.entries_per_wblk,
|
---|
749 | indexData.bdh.word_dict_size,
|
---|
750 | numLevels, term, wordDictEl, wordElNum))
|
---|
751 | number = wordElNum;
|
---|
752 |
|
---|
753 | }
|
---|
754 |
|
---|
755 | void GetTermList(IndexData &indexData,
|
---|
756 | unsigned long startTerm,
|
---|
757 | unsigned long numTerms,
|
---|
758 | TermFreqArray &terms) {
|
---|
759 |
|
---|
760 | word_block_dict_el_array wordBlocks; // = new word_block_dict_el_array();
|
---|
761 | TermFreqData termdata;
|
---|
762 |
|
---|
763 | terms.erase(terms.begin(), terms.end());
|
---|
764 |
|
---|
765 | SearchWordBlockDictElNumRange (indexData.dictFile, indexData.biWords,
|
---|
766 | indexData.bdh.entries_per_wblk,
|
---|
767 | indexData.bdh.word_dict_size,
|
---|
768 | indexData.bdh.num_levels, startTerm,
|
---|
769 | numTerms, wordBlocks);
|
---|
770 |
|
---|
771 | word_block_dict_el_array::iterator here = wordBlocks.begin();
|
---|
772 | word_block_dict_el_array::iterator end = wordBlocks.end();
|
---|
773 |
|
---|
774 | while (here != end) {
|
---|
775 | termdata.Clear();
|
---|
776 | termdata.term = (*here).el;
|
---|
777 | termdata.termFreq = (*here).freq;
|
---|
778 | terms.push_back(termdata);
|
---|
779 | here++;
|
---|
780 | }
|
---|
781 |
|
---|
782 | }
|
---|
783 |
|
---|
784 | void GetTermList(IndexData &indexData,
|
---|
785 | unsigned long startTerm,
|
---|
786 | unsigned long numTerms,
|
---|
787 | UCArrayVector &terms) {
|
---|
788 |
|
---|
789 |
|
---|
790 |
|
---|
791 | SearchWordBlockDictElNumRange (indexData.dictFile, indexData.biWords,
|
---|
792 | indexData.bdh.entries_per_wblk,
|
---|
793 | indexData.bdh.word_dict_size,
|
---|
794 | indexData.bdh.num_levels, startTerm,
|
---|
795 | numTerms, terms);
|
---|
796 |
|
---|
797 | }
|
---|