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src/main/java/com/belellou/kevin/advent/year2015/Day13.java
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package com.belellou.kevin.advent.year2015; | ||
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import java.io.BufferedReader; | ||
import java.util.regex.Matcher; | ||
import java.util.regex.Pattern; | ||
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import org.jgrapht.Graph; | ||
import org.jgrapht.GraphPath; | ||
import org.jgrapht.alg.tour.HeldKarpTSP; | ||
import org.jgrapht.graph.DefaultWeightedEdge; | ||
import org.jgrapht.graph.SimpleDirectedWeightedGraph; | ||
import org.jgrapht.graph.SimpleWeightedGraph; | ||
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import com.belellou.kevin.advent.generic.AbstractDaySolver; | ||
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@SuppressWarnings("unused") | ||
public class Day13 extends AbstractDaySolver<Integer> { | ||
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private static final String GROUP_FIRST_GUEST = "firstGuest"; | ||
private static final String GROUP_ACTION = "action"; | ||
private static final String GROUP_AMOUNT = "amount"; | ||
private static final String GROUP_SECOND_GUEST = "secondGuest"; | ||
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private static final Pattern PATTERN = Pattern.compile("^" + | ||
"(?<" + GROUP_FIRST_GUEST + ">\\w+)" + | ||
" would " + | ||
"(?<" + GROUP_ACTION + ">\\w+)" + | ||
" (?<" + GROUP_AMOUNT + ">\\d+)" + | ||
" happiness units by sitting next to " + | ||
"(?<" + GROUP_SECOND_GUEST + ">\\w+)." + | ||
"$"); | ||
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private static final String ACTION_GAIN = "gain"; | ||
private static final String ME = "Me"; | ||
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public Day13() { | ||
super(Day13.class); | ||
} | ||
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private static void fillGraph(String line, Graph<String, DefaultWeightedEdge> graph) { | ||
Matcher matcher = PATTERN.matcher(line); | ||
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if (!matcher.matches()) { | ||
throw new IllegalArgumentException("Invalid line: " + line); | ||
} | ||
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String firstGuest = matcher.group(GROUP_FIRST_GUEST); | ||
boolean gainAction = matcher.group(GROUP_ACTION).equals(ACTION_GAIN); | ||
int amount = Integer.parseInt(matcher.group(GROUP_AMOUNT)); | ||
String secondGuest = matcher.group(GROUP_SECOND_GUEST); | ||
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graph.addVertex(firstGuest); | ||
graph.addVertex(secondGuest); | ||
DefaultWeightedEdge edge = graph.addEdge(firstGuest, secondGuest); | ||
graph.setEdgeWeight(edge, gainAction ? amount : -amount); | ||
} | ||
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private static SimpleWeightedGraph<String, DefaultWeightedEdge> transformGraph( | ||
SimpleDirectedWeightedGraph<String, DefaultWeightedEdge> graph) { | ||
SimpleWeightedGraph<String, DefaultWeightedEdge> undirectedGraph = new SimpleWeightedGraph<>( | ||
DefaultWeightedEdge.class); | ||
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graph.vertexSet().forEach(undirectedGraph::addVertex); | ||
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graph.edgeSet().forEach(edge -> { | ||
double edgeWeight = graph.getEdgeWeight(edge); | ||
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String edgeSource = graph.getEdgeSource(edge); | ||
String edgeTarget = graph.getEdgeTarget(edge); | ||
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if (undirectedGraph.containsEdge(edgeSource, edgeTarget)) { | ||
return; | ||
} | ||
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DefaultWeightedEdge returnEdge = graph.getEdge(edgeTarget, edgeSource); | ||
double returnEdgeWeight = graph.getEdgeWeight(returnEdge); | ||
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DefaultWeightedEdge undirectedEdge = undirectedGraph.addEdge(edgeSource, edgeTarget); | ||
undirectedGraph.setEdgeWeight(undirectedEdge, -(edgeWeight + returnEdgeWeight)); | ||
}); | ||
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return undirectedGraph; | ||
} | ||
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private static int findOptimalHamiltonianCycleDistance( | ||
SimpleDirectedWeightedGraph<String, DefaultWeightedEdge> directedGraph) { | ||
SimpleWeightedGraph<String, DefaultWeightedEdge> undirectedGraph = transformGraph(directedGraph); | ||
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GraphPath<String, DefaultWeightedEdge> tour = new HeldKarpTSP<String, DefaultWeightedEdge>().getTour( | ||
undirectedGraph); | ||
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return (int) -tour.getWeight(); | ||
} | ||
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private static SimpleDirectedWeightedGraph<String, DefaultWeightedEdge> createGraphFromReader( | ||
BufferedReader reader) { | ||
SimpleDirectedWeightedGraph<String, DefaultWeightedEdge> directedGraph = new SimpleDirectedWeightedGraph<>( | ||
DefaultWeightedEdge.class); | ||
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reader.lines().forEach(line -> fillGraph(line, directedGraph)); | ||
return directedGraph; | ||
} | ||
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@Override | ||
protected Integer doSolveFirstStar(BufferedReader reader) { | ||
SimpleDirectedWeightedGraph<String, DefaultWeightedEdge> directedGraph = createGraphFromReader(reader); | ||
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return findOptimalHamiltonianCycleDistance(directedGraph); | ||
} | ||
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@Override | ||
public Integer getFirstStarSolution() { | ||
return 664; | ||
} | ||
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@Override | ||
protected Integer doSolveSecondStar(BufferedReader reader) { | ||
SimpleDirectedWeightedGraph<String, DefaultWeightedEdge> directedGraph = createGraphFromReader(reader); | ||
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directedGraph.addVertex(ME); | ||
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for (String vertex : directedGraph.vertexSet()) { | ||
if (vertex.equals(ME)) { | ||
continue; | ||
} | ||
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DefaultWeightedEdge edge = directedGraph.addEdge(ME, vertex); | ||
directedGraph.setEdgeWeight(edge, 0); | ||
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edge = directedGraph.addEdge(vertex, ME); | ||
directedGraph.setEdgeWeight(edge, 0); | ||
} | ||
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return findOptimalHamiltonianCycleDistance(directedGraph); | ||
} | ||
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@Override | ||
public Integer getSecondStarSolution() { | ||
return 640; | ||
} | ||
} |
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Alice would lose 2 happiness units by sitting next to Bob. | ||
Alice would lose 62 happiness units by sitting next to Carol. | ||
Alice would gain 65 happiness units by sitting next to David. | ||
Alice would gain 21 happiness units by sitting next to Eric. | ||
Alice would lose 81 happiness units by sitting next to Frank. | ||
Alice would lose 4 happiness units by sitting next to George. | ||
Alice would lose 80 happiness units by sitting next to Mallory. | ||
Bob would gain 93 happiness units by sitting next to Alice. | ||
Bob would gain 19 happiness units by sitting next to Carol. | ||
Bob would gain 5 happiness units by sitting next to David. | ||
Bob would gain 49 happiness units by sitting next to Eric. | ||
Bob would gain 68 happiness units by sitting next to Frank. | ||
Bob would gain 23 happiness units by sitting next to George. | ||
Bob would gain 29 happiness units by sitting next to Mallory. | ||
Carol would lose 54 happiness units by sitting next to Alice. | ||
Carol would lose 70 happiness units by sitting next to Bob. | ||
Carol would lose 37 happiness units by sitting next to David. | ||
Carol would lose 46 happiness units by sitting next to Eric. | ||
Carol would gain 33 happiness units by sitting next to Frank. | ||
Carol would lose 35 happiness units by sitting next to George. | ||
Carol would gain 10 happiness units by sitting next to Mallory. | ||
David would gain 43 happiness units by sitting next to Alice. | ||
David would lose 96 happiness units by sitting next to Bob. | ||
David would lose 53 happiness units by sitting next to Carol. | ||
David would lose 30 happiness units by sitting next to Eric. | ||
David would lose 12 happiness units by sitting next to Frank. | ||
David would gain 75 happiness units by sitting next to George. | ||
David would lose 20 happiness units by sitting next to Mallory. | ||
Eric would gain 8 happiness units by sitting next to Alice. | ||
Eric would lose 89 happiness units by sitting next to Bob. | ||
Eric would lose 69 happiness units by sitting next to Carol. | ||
Eric would lose 34 happiness units by sitting next to David. | ||
Eric would gain 95 happiness units by sitting next to Frank. | ||
Eric would gain 34 happiness units by sitting next to George. | ||
Eric would lose 99 happiness units by sitting next to Mallory. | ||
Frank would lose 97 happiness units by sitting next to Alice. | ||
Frank would gain 6 happiness units by sitting next to Bob. | ||
Frank would lose 9 happiness units by sitting next to Carol. | ||
Frank would gain 56 happiness units by sitting next to David. | ||
Frank would lose 17 happiness units by sitting next to Eric. | ||
Frank would gain 18 happiness units by sitting next to George. | ||
Frank would lose 56 happiness units by sitting next to Mallory. | ||
George would gain 45 happiness units by sitting next to Alice. | ||
George would gain 76 happiness units by sitting next to Bob. | ||
George would gain 63 happiness units by sitting next to Carol. | ||
George would gain 54 happiness units by sitting next to David. | ||
George would gain 54 happiness units by sitting next to Eric. | ||
George would gain 30 happiness units by sitting next to Frank. | ||
George would gain 7 happiness units by sitting next to Mallory. | ||
Mallory would gain 31 happiness units by sitting next to Alice. | ||
Mallory would lose 32 happiness units by sitting next to Bob. | ||
Mallory would gain 95 happiness units by sitting next to Carol. | ||
Mallory would gain 91 happiness units by sitting next to David. | ||
Mallory would lose 66 happiness units by sitting next to Eric. | ||
Mallory would lose 75 happiness units by sitting next to Frank. | ||
Mallory would lose 99 happiness units by sitting next to George. |