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GraphHopper is a fast and memory efficient Java road routing engine
working seamlessly with OpenStreetMap data.
/*
* Licensed to GraphHopper GmbH under one or more contributor
* license agreements. See the NOTICE file distributed with this work for
* additional information regarding copyright ownership.
*
* GraphHopper GmbH licenses this file to you 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 com.graphhopper.routing.lm;
import com.graphhopper.routing.Dijkstra;
import com.graphhopper.routing.Path;
import com.graphhopper.routing.util.TraversalMode;
import com.graphhopper.routing.weighting.WeightApproximator;
import com.graphhopper.routing.weighting.Weighting;
import com.graphhopper.storage.Graph;
/**
* Just a sanity-check implementation for WeightApproximator, which 'approximates' perfectly.
*/
public class PerfectApproximator implements WeightApproximator {
private Graph graph;
private Weighting weighting;
private TraversalMode traversalMode;
private int to;
private boolean reverse;
public PerfectApproximator(Graph graph, Weighting weighting, TraversalMode traversalMode, boolean reverse) {
this.graph = graph;
this.weighting = weighting;
this.traversalMode = traversalMode;
this.reverse = reverse;
}
@Override
public double approximate(int currentNode) {
Dijkstra dijkstra = new Dijkstra(graph, weighting, traversalMode);
Path path = reverse ? dijkstra.calcPath(to, currentNode) : dijkstra.calcPath(currentNode, to);
return path.isFound() ? path.getWeight() : Double.POSITIVE_INFINITY;
}
@Override
public void setTo(int to) {
this.to = to;
}
@Override
public WeightApproximator reverse() {
return new PerfectApproximator(graph, weighting, traversalMode, !reverse);
}
@Override
public double getSlack() {
return 0;
}
}