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/* Copyright (C) 2015 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.passive.api;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import net.automatalib.words.Word;
import de.learnlib.oracles.DefaultQuery;
public interface PassiveLearningAlgorithm {
public void addSamples(Collection> samples);
@SuppressWarnings("unchecked")
default public void addSamples(DefaultQuery ...samples) {
addSamples(Arrays.asList(samples));
}
default public void addSample(DefaultQuery sample) {
addSamples(Collections.singleton(sample));
}
default public void addSample(Word input, D output) {
addSample(new DefaultQuery<>(input, output));
}
default public void addSamples(D output, Collection> words) {
List> queries = new ArrayList<>(words.size());
for (Word word : words) {
queries.add(new DefaultQuery<>(word, output));
}
}
@SuppressWarnings("unchecked")
default public void addSamples(D output, Word ...words) {
addSamples(output, Arrays.asList(words));
}
public M computeModel();
}