Class ATNSimulator

Field Details

• SERIALIZED_VERSION

  @Deprecated public static final int SERIALIZED_VERSION

  Deprecated.

  Use ATNDeserializer.SERIALIZED_VERSION instead.

• SERIALIZED_UUID

  @Deprecated public static final UUID SERIALIZED_UUID

  Deprecated.

  Use ATNDeserializer.checkCondition(boolean) instead.

  This is the current serialized UUID.

• ERROR

  public static final DFAState ERROR

  Must distinguish between missing edge and edge we know leads nowhere

• atn

  public final ATN atn

• sharedContextCache

  protected final PredictionContextCache sharedContextCache

  The context cache maps all PredictionContext objects that are equals() to a single cached copy. This cache is shared across all contexts in all ATNConfigs in all DFA states. We rebuild each ATNConfigSet to use only cached nodes/graphs in addDFAState(). We don't want to fill this during closure() since there are lots of contexts that pop up but are not used ever again. It also greatly slows down closure().

  This cache makes a huge difference in memory and a little bit in speed. For the Java grammar on java.*, it dropped the memory requirements at the end from 25M to 16M. We don't store any of the full context graphs in the DFA because they are limited to local context only, but apparently there's a lot of repetition there as well. We optimize the config contexts before storing the config set in the DFA states by literally rebuilding them with cached subgraphs only.

  I tried a cache for use during closure operations, that was whacked after each adaptivePredict(). It cost a little bit more time I think and doesn't save on the overall footprint so it's not worth the complexity.