Top Description Fields Constructors Methods
org.antlr.v4.runtime.atn

public Class ParserATNSimulator

extends ATNSimulator
Class Inheritance
Known Direct Subclasses
org.antlr.v4.runtime.atn.ProfilingATNSimulator
Imports
org.antlr.v4.runtime.*, org.antlr.v4.runtime.dfa.DFA, .DFAState, org.antlr.v4.runtime.misc.DoubleKeyMap, .Interval, .IntervalSet, .Pair, java.security.AccessController, .PrivilegedAction, java.util.*

The embodiment of the adaptive LL(*), ALL(*), parsing strategy.

The basic complexity of the adaptive strategy makes it harder to understand. We begin with ATN simulation to build paths in a DFA. Subsequent prediction requests go through the DFA first. If they reach a state without an edge for the current symbol, the algorithm fails over to the ATN simulation to complete the DFA path for the current input (until it finds a conflict state or uniquely predicting state).

All of that is done without using the outer context because we want to create a DFA that is not dependent upon the rule invocation stack when we do a prediction. One DFA works in all contexts. We avoid using context not necessarily because it's slower, although it can be, but because of the DFA caching problem. The closure routine only considers the rule invocation stack created during prediction beginning in the decision rule. For example, if prediction occurs without invoking another rule's ATN, there are no context stacks in the configurations. When lack of context leads to a conflict, we don't know if it's an ambiguity or a weakness in the strong LL(*) parsing strategy (versus full LL(*)).

When SLL yields a configuration set with conflict, we rewind the input and retry the ATN simulation, this time using full outer context without adding to the DFA. Configuration context stacks will be the full invocation stacks from the start rule. If we get a conflict using full context, then we can definitively say we have a true ambiguity for that input sequence. If we don't get a conflict, it implies that the decision is sensitive to the outer context. (It is not context-sensitive in the sense of context-sensitive grammars.)

The next time we reach this DFA state with an SLL conflict, through DFA simulation, we will again retry the ATN simulation using full context mode. This is slow because we can't save the results and have to "interpret" the ATN each time we get that input.

CACHING FULL CONTEXT PREDICTIONS

We could cache results from full context to predicted alternative easily and that saves a lot of time but doesn't work in presence of predicates. The set of visible predicates from the ATN start state changes depending on the context, because closure can fall off the end of a rule. I tried to cache tuples (stack context, semantic context, predicted alt) but it was slower than interpreting and much more complicated. Also required a huge amount of memory. The goal is not to create the world's fastest parser anyway. I'd like to keep this algorithm simple. By launching multiple threads, we can improve the speed of parsing across a large number of files.

There is no strict ordering between the amount of input used by SLL vs LL, which makes it really hard to build a cache for full context. Let's say that we have input A B C that leads to an SLL conflict with full context X. That implies that using X we might only use A B but we could also use A B C D to resolve conflict. Input A B C D could predict alternative 1 in one position in the input and A B C E could predict alternative 2 in another position in input. The conflicting SLL configurations could still be non-unique in the full context prediction, which would lead us to requiring more input than the original A B C. To make a prediction cache work, we have to track the exact input used during the previous prediction. That amounts to a cache that maps X to a specific DFA for that context.

Something should be done for left-recursive expression predictions. They are likely LL(1) + pred eval. Easier to do the whole SLL unless error and retry with full LL thing Sam does.

AVOIDING FULL CONTEXT PREDICTION

We avoid doing full context retry when the outer context is empty, we did not dip into the outer context by falling off the end of the decision state rule, or when we force SLL mode.

As an example of the not dip into outer context case, consider as super constructor calls versus function calls. One grammar might look like this:

ctorBody
  : '{' superCall? stat* '}'
  ;

Or, you might see something like

stat
  : superCall ';'
  | expression ';'
  | ...
  ;

In both cases I believe that no closure operations will dip into the outer context. In the first case ctorBody in the worst case will stop at the '}'. In the 2nd case it should stop at the ';'. Both cases should stay within the entry rule and not dip into the outer context.

PREDICATES

Predicates are always evaluated if present in either SLL or LL both. SLL and LL simulation deals with predicates differently. SLL collects predicates as it performs closure operations like ANTLR v3 did. It delays predicate evaluation until it reaches and accept state. This allows us to cache the SLL ATN simulation whereas, if we had evaluated predicates on-the-fly during closure, the DFA state configuration sets would be different and we couldn't build up a suitable DFA.

When building a DFA accept state during ATN simulation, we evaluate any predicates and return the sole semantically valid alternative. If there is more than 1 alternative, we report an ambiguity. If there are 0 alternatives, we throw an exception. Alternatives without predicates act like they have true predicates. The simple way to think about it is to strip away all alternatives with false predicates and choose the minimum alternative that remains.

When we start in the DFA and reach an accept state that's predicated, we test those and return the minimum semantically viable alternative. If no alternatives are viable, we throw an exception.

During full LL ATN simulation, closure always evaluates predicates and on-the-fly. This is crucial to reducing the configuration set size during closure. It hits a landmine when parsing with the Java grammar, for example, without this on-the-fly evaluation.

SHARING DFA

All instances of the same parser share the same decision DFAs through a static field. Each instance gets its own ATN simulator but they share the same decisionToDFA field. They also share a PredictionContextCache object that makes sure that all PredictionContext objects are shared among the DFA states. This makes a big size difference.

THREAD SAFETY

The ParserATNSimulator locks on the decisionToDFA field when it adds a new DFA object to that array. addDFAEdge locks on the DFA for the current decision when setting the DFAState#edges field. addDFAState locks on the DFA for the current decision when looking up a DFA state to see if it already exists. We must make sure that all requests to add DFA states that are equivalent result in the same shared DFA object. This is because lots of threads will be trying to update the DFA at once. The addDFAState method also locks inside the DFA lock but this time on the shared context cache when it rebuilds the configurations' PredictionContext objects using cached subgraphs/nodes. No other locking occurs, even during DFA simulation. This is safe as long as we can guarantee that all threads referencing s.edge[t] get the same physical target DFAState, or null. Once into the DFA, the DFA simulation does not reference the DFA#states map. It follows the DFAState#edges field to new targets. The DFA simulator will either find DFAState#edges to be null, to be non-null and dfa.edges[t] null, or dfa.edges[t] to be non-null. The addDFAEdge method could be racing to set the field but in either case the DFA simulator works; if null, and requests ATN simulation. It could also race trying to get dfa.edges[t], but either way it will work because it's not doing a test and set operation.

Starting with SLL then failing to combined SLL/LL (Two-Stage Parsing)

Sam pointed out that if SLL does not give a syntax error, then there is no point in doing full LL, which is slower. We only have to try LL if we get a syntax error. For maximum speed, Sam starts the parser set to pure SLL mode with the BailErrorStrategy:

parser.getInterpreter().setPredictionMode(PredictionMode#SLL);
parser.setErrorHandler(new BailErrorStrategy());

If it does not get a syntax error, then we're done. If it does get a syntax error, we need to retry with the combined SLL/LL strategy.

The reason this works is as follows. If there are no SLL conflicts, then the grammar is SLL (at least for that input set). If there is an SLL conflict, the full LL analysis must yield a set of viable alternatives which is a subset of the alternatives reported by SLL. If the LL set is a singleton, then the grammar is LL but not SLL. If the LL set is the same size as the SLL set, the decision is SLL. If the LL set has size > 1, then that decision is truly ambiguous on the current input. If the LL set is smaller, then the SLL conflict resolution might choose an alternative that the full LL would rule out as a possibility based upon better context information. If that's the case, then the SLL parse will definitely get an error because the full LL analysis says it's not viable. If SLL conflict resolution chooses an alternative within the LL set, them both SLL and LL would choose the same alternative because they both choose the minimum of multiple conflicting alternatives.

Let's say we have a set of SLL conflicting alternatives {1, 2, 3} and a smaller LL set called s. If s is {2, 3}, then SLL parsing will get an error because SLL will pursue alternative 1. If s is {1, 2} or {1, 3} then both SLL and LL will choose the same alternative because alternative one is the minimum of either set. If s is {2} or {3} then SLL will get a syntax error. If s is {1} then SLL will succeed.

Of course, if the input is invalid, then we will get an error for sure in both SLL and LL parsing. Erroneous input will therefore require 2 passes over the input.

Field Summary

Modifier and TypeField and Description
protected DFA
protected TokenStream
protected ParserRuleContext
protected int
public static boolean
public final DFA[]
public static boolean
protected DoubleKeyMap<PredictionContext, PredictionContext, PredictionContext>
mergeCache

Each prediction operation uses a cache for merge of prediction contexts.

private PredictionMode
mode

SLL, LL, or LL + exact ambig detection?

protected final Parser
public static boolean
public static boolean
public static final boolean
TURN_OFF_LR_LOOP_ENTRY_BRANCH_OPT

Just in case this optimization is bad, add an ENV variable to turn it off

Inherited from org.antlr.v4.runtime.atn.ATNSimulator:
atnERRORsharedContextCache

Constructor Summary

AccessConstructor and Description
public
ParserATNSimulator(ATN atn, DFA[] decisionToDFA, PredictionContextCache sharedContextCache)

Testing only!

public
ParserATNSimulator(Parser parser, ATN atn, DFA[] decisionToDFA, PredictionContextCache sharedContextCache)

Method Summary

Modifier and TypeMethod and Description
protected ATNConfig
public int
adaptivePredict(TokenStream input, int decision, ParserRuleContext outerContext)

protected DFAState

Returns:

If to is null, this method returns null; otherwise this method returns the result of calling addDFAState on to
addDFAEdge
(DFA
The DFA
dfa
,
DFAState
The source state for the edge
from
,
int
The input symbol
t
,
DFAState
The target state for the edge
to
)

Add an edge to the DFA, if possible.

protected DFAState

Returns:

The state stored in the DFA. This will be either the existing state if D is already in the DFA, or D itself if the state was not already present.
addDFAState
(DFA
The dfa
dfa
,
DFAState
The DFA state to add
D
)

Add state D to the DFA if it is not already present, and return the actual instance stored in the DFA.

protected ATNConfigSet

Returns:

The transformed configuration set representing the start state for a precedence DFA at a particular precedence level (determined by calling Parser#getPrecedence).
applyPrecedenceFilter
(ATNConfigSet
The configuration set computed by computeStartState as the start state for the DFA.
configs
)

This method transforms the start state computed by computeStartState to the special start state used by a precedence DFA for a particular precedence value.

protected boolean
canDropLoopEntryEdgeInLeftRecursiveRule(ATNConfig config)

Implements first-edge (loop entry) elimination as an optimization during closure operations.

public void
clearDFA()

Overrides org.antlr.v4.runtime.atn.ATNSimulator.clearDFA.

Clear the DFA cache used by the current instance.
protected void
closure(ATNConfig config, ATNConfigSet configs, Set<ATNConfig> closureBusy, boolean collectPredicates, boolean fullCtx, boolean treatEofAsEpsilon)

protected void
closure_(ATNConfig config, ATNConfigSet configs, Set<ATNConfig> closureBusy, boolean collectPredicates, boolean fullCtx, int depth, boolean treatEofAsEpsilon)

Do the actual work of walking epsilon edges

protected void
closureCheckingStopState(ATNConfig config, ATNConfigSet configs, Set<ATNConfig> closureBusy, boolean collectPredicates, boolean fullCtx, int depth, boolean treatEofAsEpsilon)

protected ATNConfigSet
computeReachSet(ATNConfigSet closure, int t, boolean fullCtx)

protected ATNConfigSet
computeStartState(ATNState p, RuleContext ctx, boolean fullCtx)

protected DFAState

Returns:

The computed target DFA state for the given input symbol t. If t does not lead to a valid DFA state, this method returns ERROR.
computeTargetState
(DFA
The DFA
dfa
,
DFAState
The current DFA state
previousD
,
int
The next input symbol
t
)

Compute a target state for an edge in the DFA, and attempt to add the computed state and corresponding edge to the DFA.

public void
dumpDeadEndConfigs(NoViableAltException nvae)

Used for debugging in adaptivePredict around execATN but I cut it out for clarity now that alg.

protected BitSet
evalSemanticContext(DFAState.PredPrediction[] predPredictions, ParserRuleContext outerContext, boolean complete)

Look through a list of predicate/alt pairs, returning alts for the pairs that win.

protected boolean
evalSemanticContext(SemanticContext
The semantic context to evaluate
pred
,
ParserRuleContext
The parser context in which to evaluate the semantic context
parserCallStack
,
int
The alternative which is guarded by pred
alt
,
boolean
true if the evaluation is occurring during LL prediction; otherwise, false if the evaluation is occurring during SLL prediction
fullCtx
)

Evaluate a semantic context within a specific parser context.

protected int
execATN(DFA dfa, DFAState s0, TokenStream input, int startIndex, ParserRuleContext outerContext)

Performs ATN simulation to compute a predicted alternative based upon the remaining input, but also updates the DFA cache to avoid having to traverse the ATN again for the same input sequence.

protected int
execATNWithFullContext(DFA dfa, DFAState D, ATNConfigSet s0, TokenStream input, int startIndex, ParserRuleContext outerContext)

protected int
protected BitSet

Returns:

The alternatives in configs which are part of one or more conflicting alternative subsets. If configs does not contain any conflicting subsets, this method returns an empty BitSet.
getConflictingAlts
(ATNConfigSet
The ATNConfigSet to analyze.
configs
)

Gets a BitSet containing the alternatives in configs which are part of one or more conflicting alternative subsets.

protected BitSet
getConflictingAltsOrUniqueAlt(ATNConfigSet configs)

Sam pointed out a problem with the previous definition, v3, of ambiguous states.

protected ATNConfig
getEpsilonTarget(ATNConfig config, Transition t, boolean collectPredicates, boolean inContext, boolean fullCtx, boolean treatEofAsEpsilon)

protected DFAState

Returns:

The existing target DFA state for the given input symbol t, or null if the target state for this edge is not already cached
getExistingTargetState
(DFAState
The current DFA state
previousD
,
int
The next input symbol
t
)

Get an existing target state for an edge in the DFA.

public String
public Parser
protected DFAState.PredPrediction[]
public final PredictionMode
protected SemanticContext[]
getPredsForAmbigAlts(BitSet ambigAlts, ATNConfigSet configs, int nalts)

protected ATNState
getReachableTarget(Transition trans, int ttype)

public String
getRuleName(int index)

public static String
getSafeEnv(String envName)

protected int

Returns:

The value to return from adaptivePredict, or ATN#INVALID_ALT_NUMBER if a suitable alternative was not identified and adaptivePredict should report an error instead.
getSynValidOrSemInvalidAltThatFinishedDecisionEntryRule
(ATNConfigSet
The ATN configurations which were valid immediately before the ERROR state was reached
configs
,
ParserRuleContext
The is the \gamma_0 initial parser context from the paper or the parser stack at the instant before prediction commences.
outerContext
)

This method is used to improve the localization of error messages by choosing an alternative rather than throwing a NoViableAltException in particular prediction scenarios where the ERROR state was reached during ATN simulation.

public String
getTokenName(int t)

protected static int
protected NoViableAltException
noViableAlt(TokenStream input, ParserRuleContext outerContext, ATNConfigSet configs, int startIndex)

public ATNConfig
precedenceTransition(ATNConfig config, PrecedencePredicateTransition pt, boolean collectPredicates, boolean inContext, boolean fullCtx)

protected void
predicateDFAState(DFAState dfaState, DecisionState decisionState)

protected ATNConfig
predTransition(ATNConfig config, PredicateTransition pt, boolean collectPredicates, boolean inContext, boolean fullCtx)

protected ATNConfigSet

Returns:

configs if all configurations in configs are in a rule stop state, otherwise return a new configuration set containing only the configurations from configs which are in a rule stop state
removeAllConfigsNotInRuleStopState
(ATNConfigSet
the configuration set to update
configs
,
boolean
when true, this method checks for rule stop states reachable by epsilon-only transitions from each configuration in configs.
lookToEndOfRule
)

Return a configuration set containing only the configurations from configs which are in a RuleStopState.

protected void
reportAmbiguity(DFA dfa, DFAState D, int startIndex, int stopIndex, boolean exact, BitSet ambigAlts, ATNConfigSet configs)

If context sensitive parsing, we know it's ambiguity not conflict

protected void
reportAttemptingFullContext(DFA dfa, BitSet conflictingAlts, ATNConfigSet configs, int startIndex, int stopIndex)

protected void
reportContextSensitivity(DFA dfa, int prediction, ATNConfigSet configs, int startIndex, int stopIndex)

public void
protected ATNConfig
public final void
protected Pair<ATNConfigSet, ATNConfigSet>
splitAccordingToSemanticValidity(ATNConfigSet configs, ParserRuleContext outerContext)

Walk the list of configurations and split them according to those that have preds evaluating to true/false.

Inherited from org.antlr.v4.runtime.atn.ATNSimulator:
getCachedContextgetSharedContextCache

Field Detail

_dfaback to summary
protected DFA _dfa
_inputback to summary
protected TokenStream _input
_outerContextback to summary
protected ParserRuleContext _outerContext
_startIndexback to summary
protected int _startIndex
debugback to summary
public static boolean debug
decisionToDFAback to summary
public final DFA[] decisionToDFA
dfa_debugback to summary
public static boolean dfa_debug
mergeCacheback to summary
protected DoubleKeyMap<PredictionContext, PredictionContext, PredictionContext> mergeCache

Each prediction operation uses a cache for merge of prediction contexts. Don't keep around as it wastes huge amounts of memory. DoubleKeyMap isn't synchronized but we're ok since two threads shouldn't reuse same parser/atnsim object because it can only handle one input at a time. This maps graphs a and b to merged result c. (a,b)→c. We can avoid the merge if we ever see a and b again. Note that (b,a)→c should also be examined during cache lookup.

modeback to summary
private PredictionMode mode

SLL, LL, or LL + exact ambig detection?

parserback to summary
protected final Parser parser
retry_debugback to summary
public static boolean retry_debug
trace_atn_simback to summary
public static boolean trace_atn_sim
TURN_OFF_LR_LOOP_ENTRY_BRANCH_OPTback to summary
public static final boolean TURN_OFF_LR_LOOP_ENTRY_BRANCH_OPT

Just in case this optimization is bad, add an ENV variable to turn it off

Constructor Detail

ParserATNSimulatorback to summary
public ParserATNSimulator(ATN atn, DFA[] decisionToDFA, PredictionContextCache sharedContextCache)

Testing only!

ParserATNSimulatorback to summary
public ParserATNSimulator(Parser parser, ATN atn, DFA[] decisionToDFA, PredictionContextCache sharedContextCache)

Method Detail

actionTransitionback to summary
protected ATNConfig actionTransition(ATNConfig config, ActionTransition t)
adaptivePredictback to summary
public int adaptivePredict(TokenStream input, int decision, ParserRuleContext outerContext)
addDFAEdgeback to summary
protected DFAState addDFAEdge(DFA dfa, DFAState from, int t, DFAState to)

Add an edge to the DFA, if possible. This method calls addDFAState to ensure the to state is present in the DFA. If from is null, or if t is outside the range of edges that can be represented in the DFA tables, this method returns without adding the edge to the DFA.

If to is null, this method returns null. Otherwise, this method returns the DFAState returned by calling addDFAState for the to state.

Parameters
dfa:DFA

The DFA

from:DFAState

The source state for the edge

t:int

The input symbol

to:DFAState

The target state for the edge

Returns:DFAState

If to is null, this method returns null; otherwise this method returns the result of calling addDFAState on to

addDFAStateback to summary
protected DFAState addDFAState(DFA dfa, DFAState D)

Add state D to the DFA if it is not already present, and return the actual instance stored in the DFA. If a state equivalent to D is already in the DFA, the existing state is returned. Otherwise this method returns D after adding it to the DFA.

If D is ERROR, this method returns ERROR and does not change the DFA.

Parameters
dfa:DFA

The dfa

D:DFAState

The DFA state to add

Returns:DFAState

The state stored in the DFA. This will be either the existing state if D is already in the DFA, or D itself if the state was not already present.

applyPrecedenceFilterback to summary
protected ATNConfigSet applyPrecedenceFilter(ATNConfigSet configs)

This method transforms the start state computed by computeStartState to the special start state used by a precedence DFA for a particular precedence value. The transformation process applies the following changes to the start state's configuration set.

  1. Evaluate the precedence predicates for each configuration using SemanticContext#evalPrecedence.
  2. When ATNConfig#isPrecedenceFilterSuppressed is false, remove all configurations which predict an alternative greater than 1, for which another configuration that predicts alternative 1 is in the same ATN state with the same prediction context. This transformation is valid for the following reasons:
    • The closure block cannot contain any epsilon transitions which bypass the body of the closure, so all states reachable via alternative 1 are part of the precedence alternatives of the transformed left-recursive rule.
    • The "primary" portion of a left recursive rule cannot contain an epsilon transition, so the only way an alternative other than 1 can exist in a state that is also reachable via alternative 1 is by nesting calls to the left-recursive rule, with the outer calls not being at the preferred precedence level. The ATNConfig#isPrecedenceFilterSuppressed property marks ATN configurations which do not meet this condition, and therefore are not eligible for elimination during the filtering process.

The prediction context must be considered by this filter to address situations like the following.

grammar TA;
prog: statement* EOF;
statement: letterA | statement letterA 'b' ;
letterA: 'a';

If the above grammar, the ATN state immediately before the token reference 'a' in letterA is reachable from the left edge of both the primary and closure blocks of the left-recursive rule statement. The prediction context associated with each of these configurations distinguishes between them, and prevents the alternative which stepped out to prog (and then back in to statement from being eliminated by the filter.

Parameters
configs:ATNConfigSet

The configuration set computed by computeStartState as the start state for the DFA.

Returns:ATNConfigSet

The transformed configuration set representing the start state for a precedence DFA at a particular precedence level (determined by calling Parser#getPrecedence).

canDropLoopEntryEdgeInLeftRecursiveRuleback to summary
protected boolean canDropLoopEntryEdgeInLeftRecursiveRule(ATNConfig config)

Implements first-edge (loop entry) elimination as an optimization during closure operations. See antlr/antlr4#1398. The optimization is to avoid adding the loop entry config when the exit path can only lead back to the same StarLoopEntryState after popping context at the rule end state (traversing only epsilon edges, so we're still in closure, in this same rule). We need to detect any state that can reach loop entry on epsilon w/o exiting rule. We don't have to look at FOLLOW links, just ensure that all stack tops for config refer to key states in LR rule. To verify we are in the right situation we must first check closure is at a StarLoopEntryState generated during LR removal. Then we check that each stack top of context is a return state from one of these cases: 1. 'not' expr, '(' type ')' expr. The return state points at loop entry state 2. expr op expr. The return state is the block end of internal block of (...)* 3. 'between' expr 'and' expr. The return state of 2nd expr reference. That state points at block end of internal block of (...)*. 4. expr '?' expr ':' expr. The return state points at block end, which points at loop entry state. If any is true for each stack top, then closure does not add a config to the current config set for edge[0], the loop entry branch. Conditions fail if any context for the current config is: a. empty (we'd fall out of expr to do a global FOLLOW which could even be to some weird spot in expr) or, b. lies outside of expr or, c. lies within expr but at a state not the BlockEndState generated during LR removal Do we need to evaluate predicates ever in closure for this case? No. Predicates, including precedence predicates, are only evaluated when computing a DFA start state. I.e., only before the lookahead (but not parser) consumes a token. There are no epsilon edges allowed in LR rule alt blocks or in the "primary" part (ID here). If closure is in StarLoopEntryState any lookahead operation will have consumed a token as there are no epsilon-paths that lead to StarLoopEntryState. We do not have to evaluate predicates therefore if we are in the generated StarLoopEntryState of a LR rule. Note that when making a prediction starting at that decision point, decision d=2, compute-start-state performs closure starting at edges[0], edges[1] emanating from StarLoopEntryState. That means it is not performing closure on StarLoopEntryState during compute-start-state. How do we know this always gives same prediction answer? Without predicates, loop entry and exit paths are ambiguous upon remaining input +b (in, say, a+b). Either paths lead to valid parses. Closure can lead to consuming + immediately or by falling out of this call to expr back into expr and loop back again to StarLoopEntryState to match +b. In this special case, we choose the more efficient path, which is to take the bypass path. The lookahead language has not changed because closure chooses one path over the other. Both paths lead to consuming the same remaining input during a lookahead operation. If the next token is an operator, lookahead will enter the choice block with operators. If it is not, lookahead will exit expr. Same as if closure had chosen to enter the choice block immediately. Closure is examining one config (some loopentrystate, some alt, context) which means it is considering exactly one alt. Closure always copies the same alt to any derived configs. How do we know this optimization doesn't mess up precedence in our parse trees? Looking through expr from left edge of stat only has to confirm that an input, say, a+b+c; begins with any valid interpretation of an expression. The precedence actually doesn't matter when making a decision in stat seeing through expr. It is only when parsing rule expr that we must use the precedence to get the right interpretation and, hence, parse tree.

Since
4.6
clearDFAback to summary
public void clearDFA()

Overrides org.antlr.v4.runtime.atn.ATNSimulator.clearDFA.

Doc from org.antlr.v4.runtime.atn.ATNSimulator.clearDFA.

Clear the DFA cache used by the current instance. Since the DFA cache may be shared by multiple ATN simulators, this method may affect the performance (but not accuracy) of other parsers which are being used concurrently.

Annotations
@Override
closureback to summary
protected void closure(ATNConfig config, ATNConfigSet configs, Set<ATNConfig> closureBusy, boolean collectPredicates, boolean fullCtx, boolean treatEofAsEpsilon)
closure_back to summary
protected void closure_(ATNConfig config, ATNConfigSet configs, Set<ATNConfig> closureBusy, boolean collectPredicates, boolean fullCtx, int depth, boolean treatEofAsEpsilon)

Do the actual work of walking epsilon edges

closureCheckingStopStateback to summary
protected void closureCheckingStopState(ATNConfig config, ATNConfigSet configs, Set<ATNConfig> closureBusy, boolean collectPredicates, boolean fullCtx, int depth, boolean treatEofAsEpsilon)
computeReachSetback to summary
protected ATNConfigSet computeReachSet(ATNConfigSet closure, int t, boolean fullCtx)
computeStartStateback to summary
protected ATNConfigSet computeStartState(ATNState p, RuleContext ctx, boolean fullCtx)
computeTargetStateback to summary
protected DFAState computeTargetState(DFA dfa, DFAState previousD, int t)

Compute a target state for an edge in the DFA, and attempt to add the computed state and corresponding edge to the DFA.

Parameters
dfa:DFA

The DFA

previousD:DFAState

The current DFA state

t:int

The next input symbol

Returns:DFAState

The computed target DFA state for the given input symbol t. If t does not lead to a valid DFA state, this method returns ERROR.

dumpDeadEndConfigsback to summary
public void dumpDeadEndConfigs(NoViableAltException nvae)

Used for debugging in adaptivePredict around execATN but I cut it out for clarity now that alg. works well. We can leave this "dead" code for a bit.

evalSemanticContextback to summary
protected BitSet evalSemanticContext(DFAState.PredPrediction[] predPredictions, ParserRuleContext outerContext, boolean complete)

Look through a list of predicate/alt pairs, returning alts for the pairs that win. A NONE predicate indicates an alt containing an unpredicated config which behaves as "always true." If !complete then we stop at the first predicate that evaluates to true. This includes pairs with null predicates.

evalSemanticContextback to summary
protected boolean evalSemanticContext(SemanticContext pred, ParserRuleContext parserCallStack, int alt, boolean fullCtx)

Evaluate a semantic context within a specific parser context.

This method might not be called for every semantic context evaluated during the prediction process. In particular, we currently do not evaluate the following but it may change in the future:

  • Precedence predicates (represented by SemanticContext.PrecedencePredicate) are not currently evaluated through this method.
  • Operator predicates (represented by SemanticContext.AND and SemanticContext.OR) are evaluated as a single semantic context, rather than evaluating the operands individually. Implementations which require evaluation results from individual predicates should override this method to explicitly handle evaluation of the operands within operator predicates.
Parameters
pred:SemanticContext

The semantic context to evaluate

parserCallStack:ParserRuleContext

The parser context in which to evaluate the semantic context

alt:int

The alternative which is guarded by pred

fullCtx:boolean

true if the evaluation is occurring during LL prediction; otherwise, false if the evaluation is occurring during SLL prediction

Since
4.3
execATNback to summary
protected int execATN(DFA dfa, DFAState s0, TokenStream input, int startIndex, ParserRuleContext outerContext)

Performs ATN simulation to compute a predicted alternative based upon the remaining input, but also updates the DFA cache to avoid having to traverse the ATN again for the same input sequence. There are some key conditions we're looking for after computing a new set of ATN configs (proposed DFA state): if the set is empty, there is no viable alternative for current symbol does the state uniquely predict an alternative? does the state have a conflict that would prevent us from putting it on the work list? We also have some key operations to do: add an edge from previous DFA state to potentially new DFA state, D, upon current symbol but only if adding to work list, which means in all cases except no viable alternative (and possibly non-greedy decisions?) collecting predicates and adding semantic context to DFA accept states adding rule context to context-sensitive DFA accept states consuming an input symbol reporting a conflict reporting an ambiguity reporting a context sensitivity reporting insufficient predicates cover these cases: dead end single alt single alt + preds conflict conflict + preds

execATNWithFullContextback to summary
protected int execATNWithFullContext(DFA dfa, DFAState D, ATNConfigSet s0, TokenStream input, int startIndex, ParserRuleContext outerContext)
getAltThatFinishedDecisionEntryRuleback to summary
protected int getAltThatFinishedDecisionEntryRule(ATNConfigSet configs)
getConflictingAltsback to summary
protected BitSet getConflictingAlts(ATNConfigSet configs)

Gets a BitSet containing the alternatives in configs which are part of one or more conflicting alternative subsets.

Parameters
configs:ATNConfigSet

The ATNConfigSet to analyze.

Returns:BitSet

The alternatives in configs which are part of one or more conflicting alternative subsets. If configs does not contain any conflicting subsets, this method returns an empty BitSet.

getConflictingAltsOrUniqueAltback to summary
protected BitSet getConflictingAltsOrUniqueAlt(ATNConfigSet configs)

Sam pointed out a problem with the previous definition, v3, of ambiguous states. If we have another state associated with conflicting alternatives, we should keep going. For example, the following grammar s : (ID | ID ID?) ';' ; When the ATN simulation reaches the state before ';', it has a DFA state that looks like: [12|1|[], 6|2|[], 12|2|[]]. Naturally 12|1|[] and 12|2|[] conflict, but we cannot stop processing this node because alternative to has another way to continue, via [6|2|[]]. The key is that we have a single state that has config's only associated with a single alternative, 2, and crucially the state transitions among the configurations are all non-epsilon transitions. That means we don't consider any conflicts that include alternative 2. So, we ignore the conflict between alts 1 and 2. We ignore a set of conflicting alts when there is an intersection with an alternative associated with a single alt state in the state→config-list map. It's also the case that we might have two conflicting configurations but also a 3rd nonconflicting configuration for a different alternative: [1|1|[], 1|2|[], 8|3|[]]. This can come about from grammar: a : A | A | A B ; After matching input A, we reach the stop state for rule A, state 1. State 8 is the state right before B. Clearly alternatives 1 and 2 conflict and no amount of further lookahead will separate the two. However, alternative 3 will be able to continue and so we do not stop working on this state. In the previous example, we're concerned with states associated with the conflicting alternatives. Here alt 3 is not associated with the conflicting configs, but since we can continue looking for input reasonably, I don't declare the state done. We ignore a set of conflicting alts when we have an alternative that we still need to pursue.

getEpsilonTargetback to summary
protected ATNConfig getEpsilonTarget(ATNConfig config, Transition t, boolean collectPredicates, boolean inContext, boolean fullCtx, boolean treatEofAsEpsilon)
getExistingTargetStateback to summary
protected DFAState getExistingTargetState(DFAState previousD, int t)

Get an existing target state for an edge in the DFA. If the target state for the edge has not yet been computed or is otherwise not available, this method returns null.

Parameters
previousD:DFAState

The current DFA state

t:int

The next input symbol

Returns:DFAState

The existing target DFA state for the given input symbol t, or null if the target state for this edge is not already cached

getLookaheadNameback to summary
public String getLookaheadName(TokenStream input)
getParserback to summary
public Parser getParser()
Since
4.3
getPredicatePredictionsback to summary
protected DFAState.PredPrediction[] getPredicatePredictions(BitSet ambigAlts, SemanticContext[] altToPred)
getPredictionModeback to summary
public final PredictionMode getPredictionMode()
getPredsForAmbigAltsback to summary
protected SemanticContext[] getPredsForAmbigAlts(BitSet ambigAlts, ATNConfigSet configs, int nalts)
getReachableTargetback to summary
protected ATNState getReachableTarget(Transition trans, int ttype)
getRuleNameback to summary
public String getRuleName(int index)
getSafeEnvback to summary
public static String getSafeEnv(String envName)
getSynValidOrSemInvalidAltThatFinishedDecisionEntryRuleback to summary
protected int getSynValidOrSemInvalidAltThatFinishedDecisionEntryRule(ATNConfigSet configs, ParserRuleContext outerContext)

This method is used to improve the localization of error messages by choosing an alternative rather than throwing a NoViableAltException in particular prediction scenarios where the ERROR state was reached during ATN simulation.

The default implementation of this method uses the following algorithm to identify an ATN configuration which successfully parsed the decision entry rule. Choosing such an alternative ensures that the ParserRuleContext returned by the calling rule will be complete and valid, and the syntax error will be reported later at a more localized location.

  • If a syntactically valid path or paths reach the end of the decision rule and they are semantically valid if predicated, return the min associated alt.
  • Else, if a semantically invalid but syntactically valid path exist or paths exist, return the minimum associated alt.
  • Otherwise, return ATN#INVALID_ALT_NUMBER.

In some scenarios, the algorithm described above could predict an alternative which will result in a FailedPredicateException in the parser. Specifically, this could occur if the only configuration capable of successfully parsing to the end of the decision rule is blocked by a semantic predicate. By choosing this alternative within adaptivePredict instead of throwing a NoViableAltException, the resulting FailedPredicateException in the parser will identify the specific predicate which is preventing the parser from successfully parsing the decision rule, which helps developers identify and correct logic errors in semantic predicates.

Parameters
configs:ATNConfigSet

The ATN configurations which were valid immediately before the ERROR state was reached

outerContext:ParserRuleContext

The is the \gamma_0 initial parser context from the paper or the parser stack at the instant before prediction commences.

Returns:int

The value to return from adaptivePredict, or ATN#INVALID_ALT_NUMBER if a suitable alternative was not identified and adaptivePredict should report an error instead.

getTokenNameback to summary
public String getTokenName(int t)
getUniqueAltback to summary
protected static int getUniqueAlt(ATNConfigSet configs)
noViableAltback to summary
protected NoViableAltException noViableAlt(TokenStream input, ParserRuleContext outerContext, ATNConfigSet configs, int startIndex)
precedenceTransitionback to summary
public ATNConfig precedenceTransition(ATNConfig config, PrecedencePredicateTransition pt, boolean collectPredicates, boolean inContext, boolean fullCtx)
predicateDFAStateback to summary
protected void predicateDFAState(DFAState dfaState, DecisionState decisionState)
predTransitionback to summary
protected ATNConfig predTransition(ATNConfig config, PredicateTransition pt, boolean collectPredicates, boolean inContext, boolean fullCtx)
removeAllConfigsNotInRuleStopStateback to summary
protected ATNConfigSet removeAllConfigsNotInRuleStopState(ATNConfigSet configs, boolean lookToEndOfRule)

Return a configuration set containing only the configurations from configs which are in a RuleStopState. If all configurations in configs are already in a rule stop state, this method simply returns configs.

When lookToEndOfRule is true, this method uses ATN#nextTokens for each configuration in configs which is not already in a rule stop state to see if a rule stop state is reachable from the configuration via epsilon-only transitions.

Parameters
configs:ATNConfigSet

the configuration set to update

lookToEndOfRule:boolean

when true, this method checks for rule stop states reachable by epsilon-only transitions from each configuration in configs.

Returns:ATNConfigSet

configs if all configurations in configs are in a rule stop state, otherwise return a new configuration set containing only the configurations from configs which are in a rule stop state

reportAmbiguityback to summary
protected void reportAmbiguity(DFA dfa, DFAState D, int startIndex, int stopIndex, boolean exact, BitSet ambigAlts, ATNConfigSet configs)

If context sensitive parsing, we know it's ambiguity not conflict

reportAttemptingFullContextback to summary
protected void reportAttemptingFullContext(DFA dfa, BitSet conflictingAlts, ATNConfigSet configs, int startIndex, int stopIndex)
reportContextSensitivityback to summary
protected void reportContextSensitivity(DFA dfa, int prediction, ATNConfigSet configs, int startIndex, int stopIndex)
resetback to summary
public void reset()

Implements abstract org.antlr.v4.runtime.atn.ATNSimulator.reset.

Annotations
@Override
ruleTransitionback to summary
protected ATNConfig ruleTransition(ATNConfig config, RuleTransition t)
setPredictionModeback to summary
public final void setPredictionMode(PredictionMode mode)
splitAccordingToSemanticValidityback to summary
protected Pair<ATNConfigSet, ATNConfigSet> splitAccordingToSemanticValidity(ATNConfigSet configs, ParserRuleContext outerContext)

Walk the list of configurations and split them according to those that have preds evaluating to true/false. If no pred, assume true pred and include in succeeded set. Returns Pair of sets. Create a new set so as not to alter the incoming parameter. Assumption: the input stream has been restored to the starting point prediction, which is where predicates need to evaluate.