xref: /external/antlr/tool/src/main/java/org/antlr/analysis/DFAState.java

/*
 * [The "BSD license"]
 *  Copyright (c) 2010 Terence Parr
 *  All rights reserved.
 *
 *  Redistribution and use in source and binary forms, with or without
 *  modification, are permitted provided that the following conditions
 *  are met:
 *  1. Redistributions of source code must retain the above copyright
 *      notice, this list of conditions and the following disclaimer.
 *  2. Redistributions in binary form must reproduce the above copyright
 *      notice, this list of conditions and the following disclaimer in the
 *      documentation and/or other materials provided with the distribution.
 *  3. The name of the author may not be used to endorse or promote products
 *      derived from this software without specific prior written permission.
 *
 *  THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
 *  IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
 *  OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
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 *  NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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package org.antlr.analysis;

import org.antlr.misc.IntSet;
import org.antlr.misc.MultiMap;
import org.antlr.misc.OrderedHashSet;
import org.antlr.misc.Utils;
import org.antlr.tool.Grammar;

import java.util.*;

/** A DFA state represents a set of possible NFA configurations.
 *  As Aho, Sethi, Ullman p. 117 says "The DFA uses its state
 *  to keep track of all possible states the NFA can be in after
 *  reading each input symbol.  That is to say, after reading
 *  input a1a2..an, the DFA is in a state that represents the
 *  subset T of the states of the NFA that are reachable from the
 *  NFA's start state along some path labeled a1a2..an."
 *  In conventional NFA→DFA conversion, therefore, the subset T
 *  would be a bitset representing the set of states the
 *  NFA could be in.  We need to track the alt predicted by each
 *  state as well, however.  More importantly, we need to maintain
 *  a stack of states, tracking the closure operations as they
 *  jump from rule to rule, emulating rule invocations (method calls).
 *  Recall that NFAs do not normally have a stack like a pushdown-machine
 *  so I have to add one to simulate the proper lookahead sequences for
 *  the underlying LL grammar from which the NFA was derived.
 *
 *  I use a list of NFAConfiguration objects.  An NFAConfiguration
 *  is both a state (ala normal conversion) and an NFAContext describing
 *  the chain of rules (if any) followed to arrive at that state.  There
 *  is also the semantic context, which is the "set" of predicates found
 *  on the path to this configuration.
 *
 *  A DFA state may have multiple references to a particular state,
 *  but with different NFAContexts (with same or different alts)
 *  meaning that state was reached via a different set of rule invocations.
 */
public class DFAState extends State {
    public static final int INITIAL_NUM_TRANSITIONS = 4;
	public static final int PREDICTED_ALT_UNSET = NFA.INVALID_ALT_NUMBER-1;

    /** We are part of what DFA?  Use this ref to get access to the
     *  context trees for an alt.
     */
    public DFA dfa;

    /** Track the transitions emanating from this DFA state.  The List
     *  elements are Transition objects.
     */
    protected List<Transition> transitions =
		new ArrayList<Transition>(INITIAL_NUM_TRANSITIONS);

	/** When doing an acyclic DFA, this is the number of lookahead symbols
	 *  consumed to reach this state.  This value may be nonzero for most
	 *  dfa states, but it is only a valid value if the user has specified
	 *  a max fixed lookahead.
	 */
    protected int k;

    /** The NFA&rarr;DFA algorithm may terminate leaving some states
     *  without a path to an accept state, implying that upon certain
     *  input, the decision is not deterministic--no decision about
     *  predicting a unique alternative can be made.  Recall that an
     *  accept state is one in which a unique alternative is predicted.
     */
    protected int acceptStateReachable = DFA.REACHABLE_UNKNOWN;

    /** Rather than recheck every NFA configuration in a DFA state (after
     *  resolving) in findNewDFAStatesAndAddDFATransitions just check
     *  this boolean.  Saves a linear walk perhaps DFA state creation.
     *  Every little bit helps.
     */
    protected boolean resolvedWithPredicates = false;

	/** If a closure operation finds that we tried to invoke the same
	 *  rule too many times (stack would grow beyond a threshold), it
	 *  marks the state has aborted and notifies the DecisionProbe.
	 */
	public boolean abortedDueToRecursionOverflow = false;

	/** If we detect recursion on more than one alt, decision is non-LL(*),
	 *  but try to isolate it to only those states whose closure operations
	 *  detect recursion.  There may be other alts that are cool:
	 *
	 *  a : recur '.'
	 *    | recur ';'
	 *    | X Y  // LL(2) decision; don't abort and use k=1 plus backtracking
	 *    | X Z
	 *    ;
	 *
	 *  12/13/2007: Actually this has caused problems.  If k=*, must terminate
	 *  and throw out entire DFA; retry with k=1.  Since recursive, do not
	 *  attempt more closure ops as it may take forever.  Exception thrown
	 *  now and we simply report the problem.  If synpreds exist, I'll retry
	 *  with k=1.
	 */
	protected boolean abortedDueToMultipleRecursiveAlts = false;

	/** Build up the hash code for this state as NFA configurations
     *  are added as it's monotonically increasing list of configurations.
     */
    protected int cachedHashCode;

	protected int cachedUniquelyPredicatedAlt = PREDICTED_ALT_UNSET;

	public int minAltInConfigurations=Integer.MAX_VALUE;

	public boolean atLeastOneConfigurationHasAPredicate = false;

	/** The set of NFA configurations (state,alt,context) for this DFA state */
    public OrderedHashSet<NFAConfiguration> nfaConfigurations =
		new OrderedHashSet<NFAConfiguration>();

	public List<NFAConfiguration> configurationsWithLabeledEdges =
		new ArrayList<NFAConfiguration>();

	/** Used to prevent the closure operation from looping to itself and
     *  hence looping forever.  Sensitive to the NFA state, the alt, and
     *  the stack context.  This just the nfa config set because we want to
	 *  prevent closures only on states contributed by closure not reach
	 *  operations.
	 *
	 *  Two configurations identical including semantic context are
	 *  considered the same closure computation.  @see NFAToDFAConverter.closureBusy().
     */
	protected Set<NFAConfiguration> closureBusy = new HashSet<NFAConfiguration>();

	/** As this state is constructed (i.e., as NFA states are added), we
     *  can easily check for non-epsilon transitions because the only
     *  transition that could be a valid label is transition(0).  When we
     *  process this node eventually, we'll have to walk all states looking
     *  for all possible transitions.  That is of the order: size(label space)
     *  times size(nfa states), which can be pretty damn big.  It's better
     *  to simply track possible labels.
     */
    protected OrderedHashSet<Label> reachableLabels;

    public DFAState(DFA dfa) {
        this.dfa = dfa;
    }

	public void reset() {
		//nfaConfigurations = null; // getGatedPredicatesInNFAConfigurations needs
		configurationsWithLabeledEdges = null;
		closureBusy = null;
		reachableLabels = null;
	}

	@Override
	public Transition transition(int i) {
        return transitions.get(i);
    }

	@Override
    public int getNumberOfTransitions() {
        return transitions.size();
    }

	@Override
    public void addTransition(Transition t) {
        transitions.add(t);
    }

	/** Add a transition from this state to target with label.  Return
	 *  the transition number from 0..n-1.
	 */
    public int addTransition(DFAState target, Label label) {
		transitions.add( new Transition(label, target) );
		return transitions.size()-1;
    }

    public Transition getTransition(int trans) {
        return transitions.get(trans);
    }

	public void removeTransition(int trans) {
		transitions.remove(trans);
	}

    /** Add an NFA configuration to this DFA node.  Add uniquely
     *  an NFA state/alt/syntactic&amp;semantic context (chain of invoking state(s)
     *  and semantic predicate contexts).
     *
     *  I don't see how there could be two configurations with same
     *  state|alt|synCtx and different semantic contexts because the
     *  semantic contexts are computed along the path to a particular state
     *  so those two configurations would have to have the same predicate.
     *  Nonetheless, the addition of configurations is unique on all
     *  configuration info.  I guess I'm saying that syntactic context
     *  implies semantic context as the latter is computed according to the
     *  former.
     *
     *  As we add configurations to this DFA state, track the set of all possible
     *  transition labels so we can simply walk it later rather than doing a
     *  loop over all possible labels in the NFA.
     */
    public void addNFAConfiguration(NFAState state, NFAConfiguration c) {
		if ( nfaConfigurations.contains(c) ) {
            return;
        }

        nfaConfigurations.add(c);

		// track min alt rather than compute later
		if ( c.alt < minAltInConfigurations ) {
			minAltInConfigurations = c.alt;
		}

		if ( c.semanticContext!=SemanticContext.EMPTY_SEMANTIC_CONTEXT ) {
			atLeastOneConfigurationHasAPredicate = true;
		}

		// update hashCode; for some reason using context.hashCode() also
        // makes the GC take like 70% of the CPU and is slow!
        cachedHashCode += c.state + c.alt;

		// update reachableLabels
		// We're adding an NFA state; check to see if it has a non-epsilon edge
		if ( state.transition[0] != null ) {
			Label label = state.transition[0].label;
			if ( !(label.isEpsilon()||label.isSemanticPredicate()) ) {
				// this NFA state has a non-epsilon edge, track for fast
				// walking later when we do reach on this DFA state we're
				// building.
				configurationsWithLabeledEdges.add(c);
				if ( state.transition[1] ==null ) {
					// later we can check this to ignore o-A->o states in closure
					c.singleAtomTransitionEmanating = true;
				}
				addReachableLabel(label);
			}
		}
    }

	public NFAConfiguration addNFAConfiguration(NFAState state,
												int alt,
												NFAContext context,
												SemanticContext semanticContext)
	{
		NFAConfiguration c = new NFAConfiguration(state.stateNumber,
												  alt,
												  context,
												  semanticContext);
		addNFAConfiguration(state, c);
		return c;
	}

	/** Add label uniquely and disjointly; intersection with
     *  another set or int/char forces breaking up the set(s).
     *
     *  Example, if reachable list of labels is [a..z, {k,9}, 0..9],
     *  the disjoint list will be [{a..j,l..z}, k, 9, 0..8].
     *
     *  As we add NFA configurations to a DFA state, we might as well track
     *  the set of all possible transition labels to make the DFA conversion
     *  more efficient.  W/o the reachable labels, we'd need to check the
     *  whole vocabulary space (could be 0..\uFFFF)!  The problem is that
     *  labels can be sets, which may overlap with int labels or other sets.
     *  As we need a deterministic set of transitions from any
     *  state in the DFA, we must make the reachable labels set disjoint.
     *  This operation amounts to finding the character classes for this
     *  DFA state whereas with tools like flex, that need to generate a
     *  homogeneous DFA, must compute char classes across all states.
     *  We are going to generate DFAs with heterogeneous states so we
     *  only care that the set of transitions out of a single state are
     *  unique. :)
     *
     *  The idea for adding a new set, t, is to look for overlap with the
     *  elements of existing list s.  Upon overlap, replace
     *  existing set s[i] with two new disjoint sets, s[i]-t and s[i]&amp;t.
     *  (if s[i]-t is nil, don't add).  The remainder is t-s[i], which is
     *  what you want to add to the set minus what was already there.  The
     *  remainder must then be compared against the i+1..n elements in s
     *  looking for another collision.  Each collision results in a smaller
     *  and smaller remainder.  Stop when you run out of s elements or
     *  remainder goes to nil.  If remainder is non nil when you run out of
     *  s elements, then add remainder to the end.
     *
     *  Single element labels are treated as sets to make the code uniform.
     */
    protected void addReachableLabel(Label label) {
		if ( reachableLabels==null ) {
			reachableLabels = new OrderedHashSet<Label>();
		}
		/*
		System.out.println("addReachableLabel to state "+dfa.decisionNumber+"."+stateNumber+": "+label.getSet().toString(dfa.nfa.grammar));
		System.out.println("start of add to state "+dfa.decisionNumber+"."+stateNumber+": " +
				"reachableLabels="+reachableLabels.toString());
				*/
		if ( reachableLabels.contains(label) ) { // exact label present
            return;
        }
        IntSet t = label.getSet();
        IntSet remainder = t; // remainder starts out as whole set to add
        int n = reachableLabels.size(); // only look at initial elements
        // walk the existing list looking for the collision
        for (int i=0; i<n; i++) {
			Label rl = reachableLabels.get(i);
            /*
			System.out.println("comparing ["+i+"]: "+label.toString(dfa.nfa.grammar)+" & "+
                    rl.toString(dfa.nfa.grammar)+"="+
                    intersection.toString(dfa.nfa.grammar));
            */
			if ( !Label.intersect(label, rl) ) {
                continue;
            }
			//System.out.println(label+" collides with "+rl);

			// For any (s_i, t) with s_i&t!=nil replace with (s_i-t, s_i&t)
            // (ignoring s_i-t if nil; don't put in list)

            // Replace existing s_i with intersection since we
            // know that will always be a non nil character class
			IntSet s_i = rl.getSet();
			IntSet intersection = s_i.and(t);
            reachableLabels.set(i, new Label(intersection));

            // Compute s_i-t to see what is in current set and not in incoming
            IntSet existingMinusNewElements = s_i.subtract(t);
			//System.out.println(s_i+"-"+t+"="+existingMinusNewElements);
            if ( !existingMinusNewElements.isNil() ) {
                // found a new character class, add to the end (doesn't affect
                // outer loop duration due to n computation a priori.
                Label newLabel = new Label(existingMinusNewElements);
                reachableLabels.add(newLabel);
            }

			/*
            System.out.println("after collision, " +
                    "reachableLabels="+reachableLabels.toString());
					*/

            // anything left to add to the reachableLabels?
            remainder = t.subtract(s_i);
            if ( remainder.isNil() ) {
                break; // nothing left to add to set.  done!
            }

            t = remainder;
        }
        if ( !remainder.isNil() ) {
			/*
			System.out.println("before add remainder to state "+dfa.decisionNumber+"."+stateNumber+": " +
					"reachableLabels="+reachableLabels.toString());
			System.out.println("remainder state "+dfa.decisionNumber+"."+stateNumber+": "+remainder.toString(dfa.nfa.grammar));
            */
			Label newLabel = new Label(remainder);
            reachableLabels.add(newLabel);
        }
		/*
		System.out.println("#END of add to state "+dfa.decisionNumber+"."+stateNumber+": " +
				"reachableLabels="+reachableLabels.toString());
				*/
    }

    public OrderedHashSet<Label> getReachableLabels() {
        return reachableLabels;
    }

	public void setNFAConfigurations(OrderedHashSet<NFAConfiguration> configs) {
		this.nfaConfigurations = configs;
	}

    /** A decent hash for a DFA state is the sum of the NFA state/alt pairs.
     *  This is used when we add DFAState objects to the DFA.states Map and
     *  when we compare DFA states.  Computed in addNFAConfiguration()
     */
	@Override
    public int hashCode() {
		if ( cachedHashCode==0 ) {
			// LL(1) algorithm doesn't use NFA configurations, which
			// dynamically compute hashcode; must have something; use super
			return super.hashCode();
		}
		return cachedHashCode;
    }

    /** Two DFAStates are equal if their NFA configuration sets are the
	 *  same. This method is used to see if a DFA state already exists.
	 *
     *  Because the number of alternatives and number of NFA configurations are
     *  finite, there is a finite number of DFA states that can be processed.
     *  This is necessary to show that the algorithm terminates.
	 *
	 *  Cannot test the DFA state numbers here because in DFA.addState we need
	 *  to know if any other state exists that has this exact set of NFA
	 *  configurations.  The DFAState state number is irrelevant.
     */
	@Override
    public boolean equals(Object o) {
		// compare set of NFA configurations in this set with other
        DFAState other = (DFAState)o;
		return this.nfaConfigurations.equals(other.nfaConfigurations);
	}

    /** Walk each configuration and if they are all the same alt, return
     *  that alt else return NFA.INVALID_ALT_NUMBER.  Ignore resolved
     *  configurations, but don't ignore resolveWithPredicate configs
     *  because this state should not be an accept state.  We need to add
     *  this to the work list and then have semantic predicate edges
     *  emanating from it.
     */
    public int getUniquelyPredictedAlt() {
		if ( cachedUniquelyPredicatedAlt!=PREDICTED_ALT_UNSET ) {
			return cachedUniquelyPredicatedAlt;
		}
        int alt = NFA.INVALID_ALT_NUMBER;
		int numConfigs = nfaConfigurations.size();
		for (int i = 0; i < numConfigs; i++) {
			NFAConfiguration configuration = nfaConfigurations.get(i);
			// ignore anything we resolved; predicates will still result
			// in transitions out of this state, so must count those
			// configurations; i.e., don't ignore resolveWithPredicate configs
			if ( configuration.resolved ) {
				continue;
			}
			if ( alt==NFA.INVALID_ALT_NUMBER ) {
				alt = configuration.alt; // found first nonresolved alt
			}
			else if ( configuration.alt!=alt ) {
				return NFA.INVALID_ALT_NUMBER;
			}
		}
		this.cachedUniquelyPredicatedAlt = alt;
        return alt;
    }

	/** Return the uniquely mentioned alt from the NFA configurations;
	 *  Ignore the resolved bit etc...  Return INVALID_ALT_NUMBER
	 *  if there is more than one alt mentioned.
	 */
	public int getUniqueAlt() {
		int alt = NFA.INVALID_ALT_NUMBER;
		int numConfigs = nfaConfigurations.size();
		for (int i = 0; i < numConfigs; i++) {
			NFAConfiguration configuration = nfaConfigurations.get(i);
			if ( alt==NFA.INVALID_ALT_NUMBER ) {
				alt = configuration.alt; // found first alt
			}
			else if ( configuration.alt!=alt ) {
				return NFA.INVALID_ALT_NUMBER;
			}
		}
		return alt;
	}

	/** When more than one alternative can match the same input, the first
	 *  alternative is chosen to resolve the conflict.  The other alts
	 *  are "turned off" by setting the "resolved" flag in the NFA
	 *  configurations.  Return the set of disabled alternatives.  For
	 *
	 *  a : A | A | A ;
	 *
	 *  this method returns {2,3} as disabled.  This does not mean that
	 *  the alternative is totally unreachable, it just means that for this
	 *  DFA state, that alt is disabled.  There may be other accept states
	 *  for that alt.
	 */
	public Set<Integer> getDisabledAlternatives() {
		Set<Integer> disabled = new LinkedHashSet<Integer>();
		int numConfigs = nfaConfigurations.size();
		for (int i = 0; i < numConfigs; i++) {
			NFAConfiguration configuration = nfaConfigurations.get(i);
			if ( configuration.resolved ) {
				disabled.add(Utils.integer(configuration.alt));
			}
		}
		return disabled;
	}

	protected Set<Integer> getNonDeterministicAlts() {
		int user_k = dfa.getUserMaxLookahead();
		if ( user_k>0 && user_k==k ) {
			// if fixed lookahead, then more than 1 alt is a nondeterminism
			// if we have hit the max lookahead
			return getAltSet();
		}
		else if ( abortedDueToMultipleRecursiveAlts || abortedDueToRecursionOverflow ) {
			// if we had to abort for non-LL(*) state assume all alts are a problem
			return getAltSet();
		}
		else {
			return getConflictingAlts();
		}
	}

    /** Walk each NFA configuration in this DFA state looking for a conflict
     *  where (s|i|ctx) and (s|j|ctx) exist, indicating that state s with
     *  context conflicting ctx predicts alts i and j.  Return an Integer set
	 *  of the alternative numbers that conflict.  Two contexts conflict if
	 *  they are equal or one is a stack suffix of the other or one is
	 *  the empty context.
	 *
     *  Use a hash table to record the lists of configs for each state
	 *  as they are encountered.  We need only consider states for which
	 *  there is more than one configuration.  The configurations' predicted
	 *  alt must be different or must have different contexts to avoid a
	 *  conflict.
	 *
	 *  Don't report conflicts for DFA states that have conflicting Tokens
	 *  rule NFA states; they will be resolved in favor of the first rule.
     */
    protected Set<Integer> getConflictingAlts() {
		// TODO this is called multiple times: cache result?
		//System.out.println("getNondetAlts for DFA state "+stateNumber);
 		Set<Integer> nondeterministicAlts = new HashSet<Integer>();

		// If only 1 NFA conf then no way it can be nondeterministic;
		// save the overhead.  There are many o-a->o NFA transitions
		// and so we save a hash map and iterator creation for each
		// state.
		int numConfigs = nfaConfigurations.size();
		if ( numConfigs <=1 ) {
			return null;
		}

		// First get a list of configurations for each state.
		// Most of the time, each state will have one associated configuration.
		MultiMap<Integer, NFAConfiguration> stateToConfigListMap =
			new MultiMap<Integer, NFAConfiguration>();
		for (int i = 0; i < numConfigs; i++) {
			NFAConfiguration configuration = nfaConfigurations.get(i);
			Integer stateI = Utils.integer(configuration.state);
			stateToConfigListMap.map(stateI, configuration);
		}
		// potential conflicts are states with > 1 configuration and diff alts
		Set<Integer> states = stateToConfigListMap.keySet();
		int numPotentialConflicts = 0;
		for (Integer stateI : states) {
			boolean thisStateHasPotentialProblem = false;
			List<NFAConfiguration> configsForState = stateToConfigListMap.get(stateI);
			int alt=0;
			int numConfigsForState = configsForState.size();
			for (int i = 0; i < numConfigsForState && numConfigsForState>1 ; i++) {
				NFAConfiguration c = configsForState.get(i);
				if ( alt==0 ) {
					alt = c.alt;
				}
				else if ( c.alt!=alt ) {
					/*
					System.out.println("potential conflict in state "+stateI+
									   " configs: "+configsForState);
					*/
					// 11/28/2005: don't report closures that pinch back
					// together in Tokens rule.  We want to silently resolve
					// to the first token definition ala lex/flex by ignoring
					// these conflicts.
					// Also this ensures that lexers look for more and more
					// characters (longest match) before resorting to predicates.
					// TestSemanticPredicates.testLexerMatchesLongestThenTestPred()
					// for example would terminate at state s1 and test predicate
					// meaning input "ab" would test preds to decide what to
					// do but it should match rule C w/o testing preds.
					if ( dfa.nfa.grammar.type!=Grammar.LEXER ||
						 !dfa.decisionNFAStartState.enclosingRule.name.equals(Grammar.ARTIFICIAL_TOKENS_RULENAME) )
					{
						numPotentialConflicts++;
						thisStateHasPotentialProblem = true;
					}
				}
			}
			if ( !thisStateHasPotentialProblem ) {
				// remove NFA state's configurations from
				// further checking; no issues with it
				// (can't remove as it's concurrent modification; set to null)
				stateToConfigListMap.put(stateI, null);
			}
		}

		// a fast check for potential issues; most states have none
		if ( numPotentialConflicts==0 ) {
			return null;
		}

		// we have a potential problem, so now go through config lists again
		// looking for different alts (only states with potential issues
		// are left in the states set).  Now we will check context.
		// For example, the list of configs for NFA state 3 in some DFA
		// state might be:
		//   [3|2|[28 18 $], 3|1|[28 $], 3|1, 3|2]
		// I want to create a map from context to alts looking for overlap:
		//   [28 18 $] -> 2
		//   [28 $] -> 1
		//   [$] -> 1,2
		// Indeed a conflict exists as same state 3, same context [$], predicts
		// alts 1 and 2.
		// walk each state with potential conflicting configurations
		for (Integer stateI : states) {
			List<NFAConfiguration> configsForState = stateToConfigListMap.get(stateI);
			// compare each configuration pair s, t to ensure:
			// s.ctx different than t.ctx if s.alt != t.alt
			int numConfigsForState = 0;
			if ( configsForState!=null ) {
				numConfigsForState = configsForState.size();
			}
			for (int i = 0; i < numConfigsForState; i++) {
				NFAConfiguration s = configsForState.get(i);
				for (int j = i+1; j < numConfigsForState; j++) {
					NFAConfiguration t = configsForState.get(j);
					// conflicts means s.ctx==t.ctx or s.ctx is a stack
					// suffix of t.ctx or vice versa (if alts differ).
					// Also a conflict if s.ctx or t.ctx is empty
					if ( s.alt != t.alt && s.context.conflictsWith(t.context) ) {
						nondeterministicAlts.add(Utils.integer(s.alt));
						nondeterministicAlts.add(Utils.integer(t.alt));
					}
				}
			}
		}

		if ( nondeterministicAlts.isEmpty() ) {
			return null;
		}
        return nondeterministicAlts;
    }

	/** Get the set of all alts mentioned by all NFA configurations in this
	 *  DFA state.
	 */
	public Set<Integer> getAltSet() {
		int numConfigs = nfaConfigurations.size();
		Set<Integer> alts = new HashSet<Integer>();
		for (int i = 0; i < numConfigs; i++) {
			NFAConfiguration configuration = nfaConfigurations.get(i);
			alts.add(Utils.integer(configuration.alt));
		}
		if ( alts.isEmpty() ) {
			return null;
		}
		return alts;
	}

	public Set<? extends SemanticContext> getGatedSyntacticPredicatesInNFAConfigurations() {
		int numConfigs = nfaConfigurations.size();
		Set<SemanticContext> synpreds = new HashSet<SemanticContext>();
		for (int i = 0; i < numConfigs; i++) {
			NFAConfiguration configuration = nfaConfigurations.get(i);
			SemanticContext gatedPredExpr =
				configuration.semanticContext.getGatedPredicateContext();
			// if this is a manual syn pred (gated and syn pred), add
			if ( gatedPredExpr!=null &&
				 configuration.semanticContext.isSyntacticPredicate() )
			{
				synpreds.add(configuration.semanticContext);
			}
		}
		if ( synpreds.isEmpty() ) {
			return null;
		}
		return synpreds;
	}

	/** For gated productions, we need an OR'd list of all predicates for the
	 *  target of an edge so we can gate the edge based upon the predicates
	 *  associated with taking that path (if any).
	 *
	 *  For syntactic predicates, we only want to generate predicate
	 *  evaluations as it transitions to an accept state; waste to
	 *  do it earlier.  So, only add gated preds derived from manually-
	 *  specified syntactic predicates if this is an accept state.
	 *
	 *  Also, since configurations w/o gated predicates are like true
	 *  gated predicates, finding a configuration whose alt has no gated
	 *  predicate implies we should evaluate the predicate to true. This
	 *  means the whole edge has to be ungated. Consider:
	 *
	 *	 X : ('a' | {p}?=&gt; 'a')
	 *	   | 'a' 'b'
	 *	   ;
	 *
	 *  Here, you 'a' gets you from s0 to s1 but you can't test p because
	 *  plain 'a' is ok.  It's also ok for starting alt 2.  Hence, you can't
	 *  test p.  Even on the edge going to accept state for alt 1 of X, you
	 *  can't test p.  You can get to the same place with and w/o the context.
	 *  Therefore, it is never ok to test p in this situation.
	 *
	 *  TODO: cache this as it's called a lot; or at least set bit if &gt;1 present in state
	 */
	public SemanticContext getGatedPredicatesInNFAConfigurations() {
		SemanticContext unionOfPredicatesFromAllAlts = null;
		int numConfigs = nfaConfigurations.size();
		for (int i = 0; i < numConfigs; i++) {
			NFAConfiguration configuration = nfaConfigurations.get(i);
			SemanticContext gatedPredExpr =
				configuration.semanticContext.getGatedPredicateContext();
			if ( gatedPredExpr==null ) {
				// if we ever find a configuration w/o a gated predicate
				// (even if it's a nongated predicate), we cannot gate
				// the indident edges.
				return null;
			}
			else if ( acceptState || !configuration.semanticContext.isSyntacticPredicate() ) {
				// at this point we have a gated predicate and, due to elseif,
				// we know it's an accept or not a syn pred.  In this case,
				// it's safe to add the gated predicate to the union.  We
				// only want to add syn preds if it's an accept state.  Other
				// gated preds can be used with edges leading to accept states.
				if ( unionOfPredicatesFromAllAlts==null ) {
					unionOfPredicatesFromAllAlts = gatedPredExpr;
				}
				else {
					unionOfPredicatesFromAllAlts =
						SemanticContext.or(unionOfPredicatesFromAllAlts,gatedPredExpr);
				}
			}
		}
		if ( unionOfPredicatesFromAllAlts instanceof SemanticContext.TruePredicate ) {
			return null;
		}
		return unionOfPredicatesFromAllAlts;
	}

    /** Is an accept state reachable from this state? */
    public int getAcceptStateReachable() {
        return acceptStateReachable;
    }

    public void setAcceptStateReachable(int acceptStateReachable) {
        this.acceptStateReachable = acceptStateReachable;
    }

    public boolean isResolvedWithPredicates() {
        return resolvedWithPredicates;
    }

    /** Print all NFA states plus what alts they predict */
	@Override
    public String toString() {
        StringBuilder buf = new StringBuilder();
        buf.append(stateNumber).append(":{");
		for (int i = 0; i < nfaConfigurations.size(); i++) {
			NFAConfiguration configuration = nfaConfigurations.get(i);
			if ( i>0 ) {
				buf.append(", ");
			}
			buf.append(configuration);
		}
        buf.append("}");
        return buf.toString();
    }

	public int getLookaheadDepth() {
		return k;
	}

	public void setLookaheadDepth(int k) {
		this.k = k;
		if ( k > dfa.max_k ) { // track max k for entire DFA
			dfa.max_k = k;
		}
	}

}