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6605620268

Committed 22 Oct 2023 06:53PM UTC coverage: 93.218% (+0.9%) from 92.296%

Build # 6605620268

Build Type

push

github

Committed by

mtf90

Commit Message

cleanup passive integration tests

Run Details

11546 of 12386 relevant lines covered (93.22%)

1.68 hits per line

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92.31

/algorithms/passive/rpni/src/main/java/de/learnlib/algorithm/rpni/BlueFringeRPNIDFA.java

/* 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.rpni;

import java.util.Collection;

import de.learnlib.api.algorithm.PassiveLearningAlgorithm;
import de.learnlib.api.algorithm.PassiveLearningAlgorithm.PassiveDFALearner;
import de.learnlib.api.query.DefaultQuery;
import de.learnlib.datastructure.pta.BlueFringePTADFA;
import net.automatalib.alphabet.Alphabet;
import net.automatalib.automaton.fsa.DFA;

/**
 * A Blue Fringe version of RPNI for learning DFAs.
 * <p>
 * <b>Implementation note:</b> This implementation does not support repeated calls to {@link
 * PassiveLearningAlgorithm#computeModel()}.
 *
 * @param <I>
 *         input symbol type
 */
public class BlueFringeRPNIDFA<I>
        extends AbstractBlueFringeRPNI<I, Boolean, Boolean, Void, DFA<?, I>, BlueFringePTADFA<I>>
        implements PassiveDFALearner<I> {

    private final BlueFringePTADFA<I> pta;
    private boolean merged;

    /**
     * Constructor.
     *
     * @param alphabet
     *         the alphabet
     */
    public BlueFringeRPNIDFA(Alphabet<I> alphabet) {
        super(alphabet);
        this.pta = new BlueFringePTADFA<>(alphabet);
        this.merged = false;
    }

    @Override
    public void addSamples(Collection<? extends DefaultQuery<I, Boolean>> samples) {
        for (DefaultQuery<I, Boolean> query : samples) {
            pta.addSample(query.getInput(), query.getOutput());
        }
    }

    @Override
    protected BlueFringePTADFA<I> fetchPTA() {
        if (merged) {
            throw new IllegalStateException(
                    "A model has already been computed once. This learner does not support repeated model constructions");
        }
        merged = true;

        return this.pta;
    }

    @Override
    protected DFA<?, I> ptaToModel(BlueFringePTADFA<I> pta) {
        return pta.asDFA();
    }

}

1	/* Copyright (C) 2013-2023 TU Dortmund
2	* This file is part of LearnLib, http://www.learnlib.de/.
3	*
4	* Licensed under the Apache License, Version 2.0 (the "License");
5	* you may not use this file except in compliance with the License.
6	* You may obtain a copy of the License at
7	*
8	* http://www.apache.org/licenses/LICENSE-2.0
9	*
10	* Unless required by applicable law or agreed to in writing, software
11	* distributed under the License is distributed on an "AS IS" BASIS,
12	* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13	* See the License for the specific language governing permissions and
14	* limitations under the License.
15	*/
16	package de.learnlib.algorithm.rpni;
17
18	import java.util.Collection;
19
20	import de.learnlib.api.algorithm.PassiveLearningAlgorithm;
21	import de.learnlib.api.algorithm.PassiveLearningAlgorithm.PassiveDFALearner;
22	import de.learnlib.api.query.DefaultQuery;
23	import de.learnlib.datastructure.pta.BlueFringePTADFA;
24	import net.automatalib.alphabet.Alphabet;
25	import net.automatalib.automaton.fsa.DFA;
26
27	/**
28	* A Blue Fringe version of RPNI for learning DFAs.
29	* <p>
30	* <b>Implementation note:</b> This implementation does not support repeated calls to {@link
31	* PassiveLearningAlgorithm#computeModel()}.
32	*
33	* @param <I>
34	* input symbol type
35	*/
36	public class BlueFringeRPNIDFA<I>
37	extends AbstractBlueFringeRPNI<I, Boolean, Boolean, Void, DFA<?, I>, BlueFringePTADFA<I>>
38	implements PassiveDFALearner<I> {
39
40	private final BlueFringePTADFA<I> pta;
41	private boolean merged;
42
43	/**
44	* Constructor.
45	*
46	* @param alphabet
47	* the alphabet
48	*/
49	public BlueFringeRPNIDFA(Alphabet<I> alphabet) {
50	super(alphabet);	2✔
51	this.pta = new BlueFringePTADFA<>(alphabet);	2✔
52	this.merged = false;	2✔
53	}	2✔
54
55	@Override
56	public void addSamples(Collection<? extends DefaultQuery<I, Boolean>> samples) {
57	for (DefaultQuery<I, Boolean> query : samples) {	2✔
58	pta.addSample(query.getInput(), query.getOutput());	2✔
59	}	2✔
60	}	2✔
61
62	@Override
63	protected BlueFringePTADFA<I> fetchPTA() {
64	if (merged) {	2✔
65	throw new IllegalStateException(	×
66	"A model has already been computed once. This learner does not support repeated model constructions");
67	}
68	merged = true;	2✔
69
70	return this.pta;	2✔
71	}
72
73	@Override
74	protected DFA<?, I> ptaToModel(BlueFringePTADFA<I> pta) {
75	return pta.asDFA();	2✔
76	}
77
78	}

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