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// crm_expr_classify.c - Controllable Regex Mutilator, version v1.0
// Copyright 2001-2006 William S. Yerazunis, all rights reserved.
//
// This software is licensed to the public under the Free Software
// Foundation's GNU GPL, version 2. You may obtain a copy of the
// GPL by visiting the Free Software Foundations web site at
// www.fsf.org, and a copy is included in this distribution.
//
// Other licenses may be negotiated; contact the
// author for details.
//
// include some standard files
#include "crm114_sysincludes.h"
// include any local crm114 configuration file
#include "crm114_config.h"
// include the crm114 data structures file
#include "crm114_structs.h"
// include the routine declarations file
#include "crm114.h"
// OSBF declarations
#include "crm114_osbf.h"
// the command line argc, argv
extern int prog_argc;
extern char **prog_argv;
// the auxilliary input buffer (for WINDOW input)
extern char *newinputbuf;
// the globals used when we need a big buffer - allocated once, used
// wherever needed. These are sized to the same size as the data window.
extern char *inbuf;
extern char *outbuf;
extern char *tempbuf;
// Dispatch a LEARN statement
//
int crm_expr_learn (CSL_CELL *csl, ARGPARSE_BLOCK *apb)
{
char box_text [MAX_PATTERN];
char errstr [MAX_PATTERN];
long i;
char *txt;
long start;
long len;
int retval;
long saved_ssfl;
long long classifier_flags = 0;
// get start/length of the text we're going to learn:
//
crm_get_pgm_arg (box_text, MAX_PATTERN, apb->b1start, apb->b1len);
// Use crm_restrictvar to get start & length to look at.
i = crm_restrictvar(box_text, apb->b1len,
NULL,
&txt,
&start,
&len,
errstr);
if ( i < 0)
{
long curstmt;
long fev;
fev = 0;
curstmt = csl->cstmt;
if (i == -1)
fev = nonfatalerror5 (errstr, "", CRM_ENGINE_HERE);
if (i == -2)
fev = fatalerror5 (errstr, "", CRM_ENGINE_HERE);
//
// did the FAULT handler change the next statement to execute?
// If so, continue from there, otherwise, we FAIL.
if (curstmt == csl->cstmt)
{
csl->cstmt = csl->mct[csl->cstmt]->fail_index - 1;
csl->aliusstk [ csl->mct[csl->cstmt]->nest_level ] = -1;
};
return (fev);
};
// keep the original value of the ssfl, because many learners
// mangle it and then it won't work right for other classifiers
saved_ssfl = sparse_spectrum_file_length;
// get our flags... the only ones we're interested in here
// are the ones that specify _which_ algorithm to use.
classifier_flags = apb->sflags;
// Joe thinks that this should be a table or a loop.
classifier_flags = classifier_flags &
( CRM_OSB_BAYES | CRM_CORRELATE | CRM_OSB_WINNOW | CRM_OSBF
| CRM_HYPERSPACE | CRM_ENTROPY | CRM_SVM | CRM_SKS | CRM_FSCM
| CRM_NEURAL_NET);
if (classifier_flags & CRM_OSB_BAYES)
{
retval = crm_expr_osb_bayes_learn (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_CORRELATE)
{
retval = crm_expr_correlate_learn (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_OSB_WINNOW)
{
retval = crm_expr_osb_winnow_learn (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_OSBF )
{
retval = crm_expr_osbf_bayes_learn (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_HYPERSPACE)
{
retval = crm_expr_osb_hyperspace_learn(csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_ENTROPY)
{
retval = crm_expr_bit_entropy_learn(csl, apb, txt, start, len);
}
else
#ifndef PRODUCTION_CLASSIFIERS_ONLY
if (classifier_flags & CRM_SVM)
{
retval = crm_expr_svm_learn(csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_SKS)
{
retval = crm_expr_sks_learn(csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_FSCM)
{
retval = crm_expr_fscm_learn(csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_NEURAL_NET)
{
retval = crm_neural_net_learn (csl, apb, txt, start, len);
}
else
#endif
{
// Default with no classifier specified is Markov
apb->sflags = apb->sflags | CRM_MARKOVIAN;
retval = crm_expr_markov_learn (csl, apb, txt, start, len);
};
sparse_spectrum_file_length = saved_ssfl;
return (retval);
}
// Dispatch a CLASSIFY statement
//
int crm_expr_classify (CSL_CELL *csl, ARGPARSE_BLOCK *apb)
{
char box_text [MAX_PATTERN];
char errstr [MAX_PATTERN];
long i;
char *txt;
long start;
long len;
long retval;
long long classifier_flags = 0;
// get start/length of the text we're going to classify:
//
crm_get_pgm_arg (box_text, MAX_PATTERN, apb->b1start, apb->b1len);
// Use crm_restrictvar to get start & length to look at.
i = crm_restrictvar(box_text,
apb->b1len,
NULL,
&txt,
&start,
&len,
errstr);
if ( i < 0)
{
long curstmt;
long fev;
fev = 0;
curstmt = csl->cstmt;
if (i == -1)
{
fev = nonfatalerror5 (errstr, "", CRM_ENGINE_HERE);
};
if (i == -2)
{
fev = fatalerror5 (errstr, "", CRM_ENGINE_HERE);
};
//
// did the FAULT handler change the next statement to execute?
// If so, continue from there, otherwise, we FAIL.
if (curstmt == csl->cstmt)
{
csl->cstmt = csl->mct[csl->cstmt]->fail_index - 1;
csl->aliusstk [ csl->mct[csl->cstmt]->nest_level ] = -1;
};
return (fev);
};
// get our flags... the only ones we're interested in here
// are the ones that specify _which_ algorithm to use.
classifier_flags = apb->sflags;
classifier_flags = classifier_flags &
( CRM_OSB_BAYES | CRM_CORRELATE | CRM_OSB_WINNOW | CRM_OSBF
| CRM_HYPERSPACE | CRM_ENTROPY | CRM_SVM | CRM_SKS | CRM_FSCM
| CRM_NEURAL_NET );
if (classifier_flags & CRM_OSB_BAYES)
{
retval = crm_expr_osb_bayes_classify (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_CORRELATE)
{
retval = crm_expr_correlate_classify (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_OSB_WINNOW)
{
retval = crm_expr_osb_winnow_classify (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_OSBF )
{
retval = crm_expr_osbf_bayes_classify (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_HYPERSPACE)
{
retval = crm_expr_osb_hyperspace_classify (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_ENTROPY)
{
retval = crm_expr_bit_entropy_classify (csl, apb, txt, start, len);
}
else
#ifndef PRODUCTION_CLASSIFIERS_ONLY
if (classifier_flags & CRM_SVM)
{
retval = crm_expr_svm_classify (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_SKS)
{
retval = crm_expr_sks_classify (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_FSCM)
{
retval = crm_expr_fscm_classify (csl, apb, txt, start, len);
}
else
if (classifier_flags & CRM_NEURAL_NET)
{
retval = crm_neural_net_classify (csl, apb, txt, start, len);
}
else
#endif
{
// Default with no classifier specified is Markov
apb->sflags = apb->sflags | CRM_MARKOVIAN;
retval = crm_expr_markov_classify (csl, apb, txt, start, len);
};
return (0);
}
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