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https://github.com/RAIRLab/Spectra.git
synced 2024-11-23 01:16:30 -05:00
Removed dead code
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parent
8692700b8f
commit
59b6845107
2 changed files with 38 additions and 151 deletions
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@ -33,6 +33,7 @@ public class Operations {
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private static boolean DEEP_EQUIVALENCE = false;
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private static boolean THROW_AWAY_EMPTY_BINDINGS = true;
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private static boolean MONOTONIC = true;
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private static Prover prover;
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@ -52,40 +53,44 @@ public class Operations {
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}
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public static synchronized Optional<Justification> proveCached(Set<Formula> assumptions, Formula goal) {
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// (1) If we've asked to prove this exact goal from assumptions before
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// then return the previous result
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Pair<Set<Formula>, Formula> inputPair = ImmutablePair.of(assumptions, goal);
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if (proverCache.containsKey(inputPair)) {
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return proverCache.get(inputPair);
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}
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// Iterate through the cache
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for (Map.Entry<Pair<Set<Formula>, Formula>, Optional<Justification>> entry : proverCache.entrySet()) {
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Set<Formula> cachedAssumptions = entry.getKey().getLeft();
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Formula cachedGoal = entry.getKey().getRight();
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Optional<Justification> optJust = entry.getValue();
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// (2) Return the cached justification if:
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// - Goals are the same
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// - The cached assumptions are a subset of the current ones
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// - A justification was found
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if (optJust.isPresent() && cachedGoal.equals(goal) && Sets.subset(cachedAssumptions, assumptions)) {
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return optJust;
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if (MONOTONIC) {
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// (1) If we've asked to prove this exact goal from assumptions before
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// then return the previous result
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if (proverCache.containsKey(inputPair)) {
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return proverCache.get(inputPair);
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}
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// (3) Return cached failure if:
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// - Goals are the same
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// - Assumptions are a subset of cached assumptions
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// - No justification was found
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if (optJust.isEmpty() && cachedGoal.equals(goal) && Sets.subset(assumptions, cachedAssumptions)) {
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return optJust;
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// Iterate through the cache
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for (Map.Entry<Pair<Set<Formula>, Formula>, Optional<Justification>> entry : proverCache.entrySet()) {
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Set<Formula> cachedAssumptions = entry.getKey().getLeft();
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Formula cachedGoal = entry.getKey().getRight();
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Optional<Justification> optJust = entry.getValue();
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// (2) Return the cached justification if:
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// - Goals are the same
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// - The cached assumptions are a subset of the current ones
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// - A justification was found
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if (optJust.isPresent() && cachedGoal.equals(goal) && Sets.subset(cachedAssumptions, assumptions)) {
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return optJust;
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}
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// (3) Return cached failure if:
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// - Goals are the same
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// - Assumptions are a subset of cached assumptions
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// - No justification was found
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if (optJust.isEmpty() && cachedGoal.equals(goal) && Sets.subset(assumptions, cachedAssumptions)) {
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return optJust;
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}
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}
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}
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}
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// Otherwise create a new call to the theorem prover
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Optional<Justification> answer = prover.prove(assumptions, goal);
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proverCache.put(inputPair, answer);
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if (MONOTONIC) {
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proverCache.put(inputPair, answer);
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}
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return answer;
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}
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@ -176,18 +181,7 @@ public class Operations {
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return -1;
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}
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}
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// Take a time value, get the integer number out and
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// increment by 1
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public static Value incrementTime(Value time) {
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int t = getTime(time);
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if (t < 0) {
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return new Constant("ERROR");
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}
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return new Constant("t" + (t + 1));
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}
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public static Optional<Set<Pair<State, Action>>> apply(Set<Formula> background, Action action, State state, Value t) {
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public static Optional<Set<Pair<State, Action>>> apply(Set<Formula> background, Action action, State state) {
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// // Get resulting states from cache if computed before
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if(applyCache.containsKey(Triple.of(background, action, state))){
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@ -201,20 +195,12 @@ public class Operations {
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// Ask theorem prover for witnesses that satisfy the precondition
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Set<Formula> givens = Sets.union(background, state.getFormulae());
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// TODO: Have all this ?now and (next ?now) code within Action.java
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// Replace ?now with current time within preconditions
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Formula precondition = action.getPrecondition();
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Value now = new Variable("?now");
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precondition = replaceValue(precondition, now, t);
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// We already replaced the ?now
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List<Variable> openVars = action.openVars()
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.stream()
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.filter(v -> !v.getName().equals("?now"))
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.collect(Collectors.toList());
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// TODO: Can likely more intelligently cache considering time...
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Optional<Set<Map<Variable, Value>>> bindingsOpt = proveAndGetBindingsCached(givens, precondition, openVars);
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// If not witnesses found, return nothing
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@ -240,13 +226,6 @@ public class Operations {
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Set<Formula> additions = groundedAction.getAdditions();
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Set<Formula> deletions = groundedAction.getDeletions();
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// Replace (next ?now) with appropriate time
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Value nextTime = incrementTime(t);
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Value nextTimeVar = new Variable("?next");
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additions = replaceValue(additions, nextTimeVar, nextTime);
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deletions = replaceValue(deletions, nextTimeVar, nextTime);
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State newState = State.initializeWith(Sets.union(
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Sets.difference(state.getFormulae(), deletions),
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additions
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@ -264,97 +243,6 @@ public class Operations {
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}
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public static State replaceValue(State s, Value r, Value t) {
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Set<Formula> newFormulae = replaceValue(s.getFormulae(), r, t);
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return State.initializeWith(newFormulae);
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}
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public static Set<Formula> replaceValue(Set<Formula> s, Value r, Value t) {
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Set<Formula> newFormulae = new HashSet<Formula>();
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for (Formula f : s) {
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newFormulae.add(replaceValue(f, r, t));
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}
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return newFormulae;
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}
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public static Value replaceValue(Value v, Value r, Value t) {
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if (v.getName().equals(r.getName())) {
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return t;
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}
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return v;
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}
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// Everywhere where there's a ?now replace with value t
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public static Formula replaceValue(Formula f, Value r, Value t) {
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// Base Cases:
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// Bottom of Formula graph wouldn't have any time points under it
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if (f instanceof Predicate || f instanceof Atom) {
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return f;
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}
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// Check if these quantifiers contain our bound varialbe
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if (f instanceof UnaryModalFormula) {
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UnaryModalFormula uf = (UnaryModalFormula) f;
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Value agent = uf.getAgent();
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Value time = uf.getTime();
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Value newTime = replaceValue(time, r, t);
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Formula uf_sub = uf.getFormula();
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Formula new_uf_sub = replaceValue(uf_sub, r, t);
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if (f instanceof Belief) {
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return new Belief(agent, newTime, new_uf_sub);
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} else if (f instanceof Intends) {
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return new Intends(agent, newTime, new_uf_sub);
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} else if (f instanceof Knowledge) {
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return new Knowledge(agent, newTime, new_uf_sub);
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}
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// Assumes Perception
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if (! (f instanceof Perception)) {
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System.out.println("[fixTimepoints:Operations.java] Doesn't account for new modal operator");
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}
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return new Perception(agent, newTime, new_uf_sub);
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}
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// Recusive Case: Iterate over each subformula and replace
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if (f instanceof Not) {
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Formula subFormula = ((Not) f).getArgument();
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return new Not(replaceValue(subFormula, r, t));
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} else if (f instanceof Universal) {
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Formula subFormula = ((Universal) f).getArgument();
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return new Universal(((Universal) f).vars(), replaceValue(subFormula, r, t));
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} else if (f instanceof Existential) {
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Formula subFormula = ((Existential) f).getArgument();
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return new Universal(((Existential) f).vars(), replaceValue(subFormula, r, t));
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} else if (f instanceof Implication) {
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Formula antecedant = ((Implication) f).getAntecedent();
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Formula consequent = ((Implication) f).getConsequent();
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return new Implication(replaceValue(antecedant, r, t), replaceValue(consequent, r, t));
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} else if (f instanceof BiConditional) {
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Formula left = ((BiConditional) f).getLeft();
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Formula right = ((BiConditional) f).getRight();
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return new BiConditional(replaceValue(left, r, t), replaceValue(right, r, t));
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}
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List<Formula> subFormulae = f.getArgs();
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List<Formula> newArguments = new ArrayList<Formula>();
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for (Formula sf : subFormulae) {
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newArguments.add(replaceValue(sf, r, t));
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}
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if (f instanceof And) {
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return new And(newArguments);
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}
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// Assume Or
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if (! (f instanceof Or)) {
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System.out.println("[fixTimepoints:Operations.java] Not accounting for formula type in recursive case");
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}
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return new Or(newArguments);
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}
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public static boolean equivalent(Set<Formula> background, Formula f1, Formula f2) {
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if (!DEEP_EQUIVALENCE) {
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return f1.equals(f2);
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@ -86,11 +86,11 @@ public class AStarPlanner {
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State lastState = currentSearch.getLeft();
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List<Action> previous_actions = currentSearch.getRight();
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System.out.println("--------------------");
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System.out.println("Considering state with heuristic: " + comparator.getValue(currentSearch));
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System.out.println("Current Plan: " + seq.get(lastState).toString());
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System.out.println("Current State: " + lastState.toString());
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System.out.println("--------------------");
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// System.out.println("--------------------");
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// System.out.println("Considering state with heuristic: " + comparator.getValue(currentSearch));
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// System.out.println("Current Plan: " + seq.get(lastState).toString());
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// System.out.println("Current State: " + lastState.toString());
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// System.out.println("--------------------");
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// Exit loop if we've passed the depth limit
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int currentDepth = previous_actions.size();
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@ -116,8 +116,7 @@ public class AStarPlanner {
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for (Action action : nonTrivialActions) {
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// System.out.println("Considering action: " + action.getName());
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Value currentTime = Operations.getTime(previous_actions.size());
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Optional<Set<Pair<State, Action>>> optNextStateActionPairs = Operations.apply(background, action, lastState, currentTime);
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Optional<Set<Pair<State, Action>>> optNextStateActionPairs = Operations.apply(background, action, lastState);
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// Ignore actions that aren't applicable
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if (optNextStateActionPairs.isEmpty()) {
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