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+/* Copyright (C) 2000 MySQL AB & MySQL Finland AB & TCX DataKonsult AB
+
+ This program is free software; you can redistribute it and/or modify
+ it under the terms of the GNU General Public License as published by
+ the Free Software Foundation; either version 2 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU General Public License for more details.
+
+ You should have received a copy of the GNU General Public License
+ along with this program; if not, write to the Free Software
+ Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */
+
+/* Written by Sergei A. Golubchik, who has a shared copyright to this code */
+
+/* some definitions for full-text indices */
+
+#include "fulltext.h"
+#include <m_ctype.h>
+#include <my_tree.h>
+#include <queues.h>
+
+#define true_word_char(s,X) (my_isalnum(s,X) || (X)=='_')
+#define misc_word_char(X) ((X)=='\'')
+#define word_char(s,X) (true_word_char(s,X) || misc_word_char(X))
+
+#define FT_MAX_WORD_LEN_FOR_SORT 31
+
+#define COMPILE_STOPWORDS_IN
+
+/* Interested readers may consult SMART
+ (ftp://ftp.cs.cornell.edu/pub/smart/smart.11.0.tar.Z)
+ for an excellent implementation of vector space model we use.
+ It also demonstrate the usage of different weghting techniques.
+ This code, though, is completely original and is not based on the
+ SMART code but was in some cases inspired by it.
+
+ NORM_PIVOT was taken from the article
+ A.Singhal, C.Buckley, M.Mitra, "Pivoted Document Length Normalization",
+ ACM SIGIR'96, 21-29, 1996
+ */
+
+#define LWS_FOR_QUERY LWS_TF
+#define LWS_IN_USE LWS_LOG
+#define PRENORM_IN_USE PRENORM_AVG
+#define NORM_IN_USE NORM_PIVOT
+#define GWS_IN_USE GWS_PROB
+/*==============================================================*/
+#define LWS_TF (count)
+#define LWS_BINARY (count>0)
+#define LWS_SQUARE (count*count)
+#define LWS_LOG (count?(log( (double) count)+1):0)
+/*--------------------------------------------------------------*/
+#define PRENORM_NONE (p->weight)
+#define PRENORM_MAX (p->weight/docstat.max)
+#define PRENORM_AUG (0.4+0.6*p->weight/docstat.max)
+#define PRENORM_AVG (p->weight/docstat.sum*docstat.uniq)
+#define PRENORM_AVGLOG ((1+log(p->weight))/(1+log(docstat.sum/docstat.uniq)))
+/*--------------------------------------------------------------*/
+#define NORM_NONE (1)
+#define NORM_SUM (docstat.nsum)
+#define NORM_COS (sqrt(docstat.nsum2))
+
+#define PIVOT_VAL (0.0115)
+#define NORM_PIVOT (1+PIVOT_VAL*docstat.uniq)
+/*---------------------------------------------------------------*/
+#define GWS_NORM (1/sqrt(sum2))
+#define GWS_GFIDF (sum/doc_cnt)
+/* Mysterious, but w/o (double) GWS_IDF performs better :-o */
+#define GWS_IDF log(aio->info->state->records/doc_cnt)
+#define GWS_IDF1 log((double)aio->info->state->records/doc_cnt)
+#define GWS_PROB ((aio->info->state->records > doc_cnt) ? log(((double)(aio->info->state->records-doc_cnt))/doc_cnt) : 0 )
+#define GWS_FREQ (1.0/doc_cnt)
+#define GWS_SQUARED pow(log((double)aio->info->state->records/doc_cnt),2)
+#define GWS_CUBIC pow(log((double)aio->info->state->records/doc_cnt),3)
+#define GWS_ENTROPY (1-(suml/sum-log(sum))/log(aio->info->state->records))
+/*=================================================================*/
+
+/* Boolean search operators */
+#define FTB_YES (ft_boolean_syntax[0])
+#define FTB_EGAL (ft_boolean_syntax[1])
+#define FTB_NO (ft_boolean_syntax[2])
+#define FTB_INC (ft_boolean_syntax[3])
+#define FTB_DEC (ft_boolean_syntax[4])
+#define FTB_LBR (ft_boolean_syntax[5])
+#define FTB_RBR (ft_boolean_syntax[6])
+#define FTB_NEG (ft_boolean_syntax[7])
+#define FTB_TRUNC (ft_boolean_syntax[8])
+#define FTB_LQUOT (ft_boolean_syntax[10])
+#define FTB_RQUOT (ft_boolean_syntax[11])
+
+typedef struct st_ft_word {
+ byte * pos;
+ uint len;
+ double weight;
+} FT_WORD;
+
+typedef struct st_ftb_param {
+ byte prev;
+ int yesno;
+ int plusminus;
+ bool pmsign;
+ bool trunc;
+ byte *quot;
+} FTB_PARAM;
+
+int is_stopword(char *word, uint len);
+
+uint _ft_make_key(MI_INFO *, uint , byte *, FT_WORD *, my_off_t);
+
+byte ft_get_word(CHARSET_INFO *, byte **, byte *, FT_WORD *, FTB_PARAM *);
+byte ft_simple_get_word(CHARSET_INFO *, byte **, const byte *,
+ FT_WORD *, my_bool);
+
+typedef struct _st_ft_seg_iterator {
+ uint num, len;
+ HA_KEYSEG *seg;
+ const byte *rec, *pos;
+} FT_SEG_ITERATOR;
+
+void _mi_ft_segiterator_init(MI_INFO *, uint, const byte *, FT_SEG_ITERATOR *);
+void _mi_ft_segiterator_dummy_init(const byte *, uint, FT_SEG_ITERATOR *);
+uint _mi_ft_segiterator(FT_SEG_ITERATOR *);
+
+void ft_parse_init(TREE *, CHARSET_INFO *);
+int ft_parse(TREE *, byte *, int, my_bool);
+FT_WORD * ft_linearize(TREE *);
+FT_WORD * _mi_ft_parserecord(MI_INFO *, uint, const byte *);
+uint _mi_ft_parse(TREE *, MI_INFO *, uint, const byte *, my_bool);
+
+FT_INFO *ft_init_nlq_search(MI_INFO *, uint, byte *, uint, uint, byte *);
+FT_INFO *ft_init_boolean_search(MI_INFO *, uint, byte *, uint, CHARSET_INFO *);
+
+extern const struct _ft_vft _ft_vft_nlq;
+int ft_nlq_read_next(FT_INFO *, char *);
+float ft_nlq_find_relevance(FT_INFO *, byte *, uint);
+void ft_nlq_close_search(FT_INFO *);
+float ft_nlq_get_relevance(FT_INFO *);
+my_off_t ft_nlq_get_docid(FT_INFO *);
+void ft_nlq_reinit_search(FT_INFO *);
+
+extern const struct _ft_vft _ft_vft_boolean;
+int ft_boolean_read_next(FT_INFO *, char *);
+float ft_boolean_find_relevance(FT_INFO *, byte *, uint);
+void ft_boolean_close_search(FT_INFO *);
+float ft_boolean_get_relevance(FT_INFO *);
+my_off_t ft_boolean_get_docid(FT_INFO *);
+void ft_boolean_reinit_search(FT_INFO *);
+