!7

sbool allTerms = true;

p {

  ai_alternativeSmartBot();

  temp final ActualThoughtSpace ts = newThoughtSpace();

  thoughtSpaceSizePrinter();

  ts.blockedB = litsymbolset("possibly related to:");

  L<TripleWeb> blocked = thoughtSpace_allBlocked(ts);

  print("Blocked: " + l(blocked));

  Collection<S> terms;

  if (allTerms)

    terms = allFullIndexedTerms();

  else

    terms = asSet(ai_texts("$X", "possibly related to:", "$Y", ts.parent));

  print("Scanning " + l(terms) + " terms of approx. " + ai_indexSize() + " (" + (allTerms ? "all" : "selected") + ")");

  for (S term : terms) {

    ai_spec_allWords(term);

    ai_spec_apostrophS(term);

  }

  print("Blocked: " + l(blocked) + ", recreated: " + ts.size());

  new L<TripleWeb> gained;

  new L<TripleWeb> ok;

  MultiMap<T3<Symbol>, TripleWeb> _blocked = triplesByContentMap(blocked);

  for (TripleWeb w : ts.allTriples()) {

    T3<Symbol> t = new Triple<Symbol>(w);

    if (_blocked.containsKey(t)) {

      ok.add(w);

      _blocked.remove(t);

    } else

      gained.add(w);

  }

  Collection<TripleWeb> lost = values(_blocked);

  printFirst10WithHeading(lost, "Lost Examples");

  printFirst10WithHeading(gained, "Gained Examples");

  printFirst10WithHeading(ok, "OK Examples (" + l(ok) + ")");

  print("Same: " + l(ok) + ", lost: " + nTriple(lost) + ", gained: " + nTriple(gained));

}