The Annoyance Filter.pdf - Fourmilab

162 CLASSIFY MESSAGE ANNOYANCE-FILTER §191
}
}
os ≪ Xfile ≪ "−Parser−Diagnostic:␣" ≪ parserDiagnostics .front ( ) ≪ transEndl ;
messageTranscript .insert (p, os .str ( ));
parserDiagnostics .pop( );
This code is used in section 185.
192. Here’s the little function which adds the most signficant words and their probabilities to either
the parser diagnostics or the transcript. We break it out into a function to avoid duplicating the code.
〈 Class implementations 11 〉 +≡
void classifyMessage ::addSignificantWordDiagnostics (list〈string〉 &l,
list〈string〉::iterator where , multimap〈double, string〉 &rtokens , string endLine )
{
unsigned int n = min (static cast〈multimap〈double, string〉::size type 〉(nExtremal ),
rtokens .size ( ));
}
}
multimap〈double, string〉::const reverse iterator rp = rtokens .rbegin ( );
for (unsigned int i = 0; i < n; i++) {
dictionary ::iterator dp = d ⃗ find (rp ⃗ second );
double wp = ((dp ≡ d ⃗ end ( )) ∨ ((dp ⃗ second .getJunkProbability ( ) < 0))) ?
unknownWordProbability : dp ⃗ second .getJunkProbability ( );
ostringstream os ;
os ≪ Xfile ≪ "−Significant−Word:␣" ≪ setw (3) ≪ setiosflags (ios ::right ) ≪ (i + 1) ≪
"␣␣" ≪ setw (8) ≪ setprecision (5) ≪ setiosflags (ios ::left ) ≪ wp ≪ "␣␣\"" ≪ rp ⃗ second ≪
"\"" ≪ endLine ;
l.insert (where , os .str ( ));
os .str ("");
rp ++;