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Kieker: Application Performance Monitoring and Dynamic Software Analysis
/***************************************************************************
* Copyright (C) 2017 iObserve Project (https://www.iobserve-devops.net)
*
* 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 kieker.analysis.behavior.model;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import kieker.analysis.behavior.events.EntryCallEvent;
/**
* An EventGroup contains all events of an edge, which have the same parameters.
*
* @author Lars Jürgensen
* @since 2.0.0
*/
public class EventGroup {
// the parameters of the events of the EventGroup can be an attribute, as all events have the
// same parameters
private final String[] parameters;
private final List events;
public EventGroup(final String[] parameters) { // NOPMD using string array
this.parameters = parameters;
this.events = new ArrayList<>();
}
public String[] getParameters() {
return this.parameters; // NOPMD exposing stirng array
}
public List getEvents() {
return this.events;
}
public boolean hasSameParameters(final EntryCallEvent event) {
return Arrays.equals(event.getParameters(), this.parameters);
}
public boolean hasSameParameters(final EventGroup eventGroup) {
return Arrays.equals(eventGroup.getParameters(), this.parameters);
}
}
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