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This artifact provides the implementation of the VPA adaption of the Observation-Pack learning algorithm as
discussed in the PhD thesis "Foundations of Active Automata Learning: An Algorithmic Perspective"
(https://dx.doi.org/10.17877/DE290R-16359) by Malte Isberner.
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/* Copyright (C) 2013-2023 TU Dortmund
* This file is part of LearnLib, http://www.learnlib.de/.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package de.learnlib.algorithm.observationpack.vpa.hypothesis;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import de.learnlib.AccessSequenceProvider;
import net.automatalib.alphabet.VPAlphabet;
import net.automatalib.common.smartcollection.ArrayStorage;
import net.automatalib.word.Word;
/**
* @param
* input symbol type
*/
public class HypLoc implements AccessSequenceProvider {
private final AbstractHypTrans treeIncoming;
private final Word aseq;
private final ArrayStorage> intSuccessors;
private final ArrayStorage>> returnSuccessors;
private final int index;
private boolean accepting;
private DTNode leaf;
public HypLoc(VPAlphabet alphabet, int index, boolean accepting, AbstractHypTrans treeIncoming) {
this.index = index;
this.accepting = accepting;
this.intSuccessors = new ArrayStorage<>(alphabet.getNumInternals());
this.returnSuccessors = new ArrayStorage<>(alphabet.getNumReturns(), ArrayList::new);
this.treeIncoming = treeIncoming;
this.aseq = (treeIncoming != null) ? treeIncoming.getAccessSequence() : Word.epsilon();
}
public void updateStackAlphabetSize(int newStackAlphaSize) {
for (int i = 0; i < returnSuccessors.size(); i++) {
List> transList = returnSuccessors.get(i);
if (transList == null) {
transList = new ArrayList<>(Collections.nCopies(newStackAlphaSize, null));
returnSuccessors.set(i, transList);
} else if (transList.size() < newStackAlphaSize) {
transList.addAll(Collections.nCopies(newStackAlphaSize - transList.size(), null));
}
}
}
public DTNode getLeaf() {
return leaf;
}
public void setLeaf(DTNode leaf) {
this.leaf = leaf;
}
public boolean isRoot() {
return treeIncoming == null;
}
@Override
public Word getAccessSequence() {
return aseq;
}
public int getIndex() {
return index;
}
public boolean isAccepting() {
return accepting;
}
public void setAccepting(boolean accepting) {
this.accepting = accepting;
}
public HypRetTrans getReturnTransition(int retSymId, int stackSym) {
final List> succList = returnSuccessors.get(retSymId);
return succList.get(stackSym);
}
public void setReturnTransition(int retSymId, int stackSym, HypRetTrans trans) {
List> succList = returnSuccessors.get(retSymId);
if (succList == null) {
succList = new ArrayList<>(stackSym + 1);
returnSuccessors.set(retSymId, succList);
}
int numSuccs = succList.size();
if (numSuccs <= stackSym) {
succList.addAll(Collections.nCopies(stackSym + 1 - numSuccs, null));
}
succList.set(stackSym, trans);
}
public HypIntTrans getInternalTransition(int intSymId) {
return intSuccessors.get(intSymId);
}
public void setInternalTransition(int intSymId, HypIntTrans succ) {
intSuccessors.set(intSymId, succ);
}
@Override
public String toString() {
return Integer.toString(index);
}
}
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