///////////////////////////////////////////////////////////////////////////// 
/* 
  Copyright 2001 Ronald S. Burkey 
 
  This file is part of GutenMark. 
 
  GutenMark 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. 
 
  GutenMark 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 GutenMark; if not, write to the Free Software 
  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA 
 
  Filename:	PrefatoryAnalysisPassNeural.c 
  Purpose:	Identifies the document's "prefatory area" using a neural-net
  		method.  An alternate drop-in replacement using a "heuristic"
		method may be selected instead at runtime. 
  Mods:		01/01/02 RSB	Moved and renamed from MarkBody.c. 
*/
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <ctype.h>
#include "AutoMark.h"

//--------------------------------------------------------------------------- 
// Attempt to find the "prefatory" area, which is what I call the area between 
// the PG header and the actual text.  The net result of the pass is simply to 
// set Dataset->NumPrefatoryLines.  The basic technique is to find, within the  
// first MAX_PREFATORY_LINES the first candidate heading followed by at least 
// MIN_TEXT_LINES of non-headings.  Obviously, some additional flourishes may 
// be required.  For example, if we find a non-blank line that's a duplicate  
// of a prior line, it is probably the first section. 
// 
// The reason I'm doing this at all is that if the Gutenberg text contains a  
// "table of contents", we really messes things up in terms of extraneous  
// headings.  So if I can find something labeled "contents"  or "table of  
// contents", I'll include it even if it's outside of these parameters. 
void
PrefatoryAnalysisPassNeural (AnalysisDataset * Dataset)
{
}