ForgePatch/src/fmllauncher/java/net/minecraftforge/fml/loading/toposort/TopologicalSort.java

120 lines
4.9 KiB
Java

/*
* Minecraft Forge
* Copyright (c) 2016-2019.
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation version 2.1
* of the License.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*/
package net.minecraftforge.fml.loading.toposort;
import com.google.common.base.Preconditions;
import com.google.common.graph.Graph;
import java.util.ArrayDeque;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.PriorityQueue;
import java.util.Queue;
import java.util.Set;
import javax.annotation.Nullable;
/**
* Provides a topological sort algorithm.
*
* <p>While this algorithm is used for mod loading in forge, it can be
* utilized in other fashions, e.g. topology-based registry loading, prioritization
* for renderers, and even mod module loading.
*/
public final class TopologicalSort {
/**
* A breath-first-search based topological sort.
*
* <p>Compared to the depth-first-search version, it does not reverse the graph
* and supports custom secondary ordering specified by a comparator. It also utilizes the
* recently introduced Guava Graph API, which is more straightforward than the old directed
* graph.
*
* <p>The graph to sort must be directed, must not allow self loops, and must not contain
* cycles. {@link IllegalArgumentException} will be thrown otherwise.
*
* <p>When {@code null} is used for the comparator and multiple nodes have no
* prerequisites, the order depends on the iteration order of the set returned by the
* {@link Graph#successors(Object)} call, which is random by default.
*
* <p>Given the number of edges {@code E} and the number of vertexes {@code V},
* the time complexity of a sort without a secondary comparator is {@code O(E + V)}.
* With a secondary comparator of time complexity {@code O(T)}, the overall time
* complexity would be {@code O(E + TV log(V))}. As a result, the comparator should
* be as efficient as possible.
*
* <p>Examples of topological sort usage can be found in Forge test code.
*
* @param graph the graph to sort
* @param comparator the secondary comparator, may be null
* @param <T> the node type of the graph
* @return the ordered nodes from the graph
* @throws IllegalArgumentException if the graph is undirected or allows self loops
* @throws CyclePresentException if the graph contains cycles
*/
public static <T> List<T> topologicalSort(Graph<T> graph, @Nullable Comparator<? super T> comparator) throws IllegalArgumentException {
Preconditions.checkArgument(graph.isDirected(), "Cannot topologically sort an undirected graph!");
Preconditions.checkArgument(!graph.allowsSelfLoops(), "Cannot topologically sort a graph with self loops!");
final Queue<T> queue = comparator == null ? new ArrayDeque<>() : new PriorityQueue<>(comparator);
final Map<T, Integer> degrees = new HashMap<>();
final List<T> results = new ArrayList<>();
for (final T node : graph.nodes()) {
final int degree = graph.inDegree(node);
if (degree == 0) {
queue.add(node);
} else {
degrees.put(node, degree);
}
}
while (!queue.isEmpty()) {
final T current = queue.remove();
results.add(current);
for (final T successor : graph.successors(current)) {
final int updated = degrees.compute(successor, (node, degree) -> Objects.requireNonNull(degree, () -> "Invalid degree present for " + node) - 1);
if (updated == 0) {
queue.add(successor);
degrees.remove(successor);
}
}
}
if (!degrees.isEmpty()) {
Set<Set<T>> components = new StronglyConnectedComponentDetector<>(graph).getComponents();
components.removeIf(set -> set.size() < 2);
throwCyclePresentException(components);
}
return results;
}
@SuppressWarnings("unchecked") // for unchecked annotation
private static <T> void throwCyclePresentException(Set<Set<T>> components) {
throw new CyclePresentException((Set<Set<?>>) (Set<?>) components);
}
}