reportContextSensitivity method

@override void reportContextSensitivity(Parser recognizer, DFA dfa, int startIndex, int stopIndex, int prediction, ATNConfigSet configs,)

This method is called by the parser when a full-context prediction has a unique result.

Each full-context prediction which does not result in a syntax error will call either {@link #reportContextSensitivity} or {@link #reportAmbiguity}.

For prediction implementations that only evaluate full-context predictions when an SLL conflict is found (including the default [ParserATNSimulator] implementation), this method reports cases where SLL conflicts were resolved to unique full-context predictions, i.e. the decision was context-sensitive. This report does not necessarily indicate a problem, and it may appear even in completely unambiguous grammars.

[configs] may have more than one represented alternative if the full-context prediction algorithm does not evaluate predicates before beginning the full-context prediction. In all cases, the final prediction is passed as the [prediction] argument.

Note that the definition of "context sensitivity" in this method differs from the concept in {@link DecisionInfo#contextSensitivities}. This method reports all instances where an SLL conflict occurred but LL parsing produced a unique result, whether or not that unique result matches the minimum alternative in the SLL conflicting set.

This method is not used by lexers.

@param recognizer the parser instance @param dfa the DFA for the current decision @param startIndex the input index where the decision started @param stopIndex the input index where the context sensitivity was finally determined @param prediction the unambiguous result of the full-context prediction @param configs the ATN configuration set where the unambiguous prediction was determined

Implementation

@override
void reportContextSensitivity(Parser recognizer, DFA dfa, int startIndex,
    int stopIndex, int prediction, ATNConfigSet configs) {
  final decision = getDecisionDescription(recognizer, dfa);
  final text =
      recognizer.tokenStream.getText(Interval.of(startIndex, stopIndex));
  final message = "reportContextSensitivity d=$decision, input='$text'";
  recognizer.notifyErrorListeners(message);
}