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/*******************************************************************************
 * Copyright (c) 2004, 2016 IBM Corporation and others.
 *
 * This program and the accompanying materials
 * are made available under the terms of the Eclipse Public License 2.0
 * which accompanies this distribution, and is available at
 * https://www.eclipse.org/legal/epl-2.0/
 *
 * SPDX-License-Identifier: EPL-2.0
 *
 * Contributors:
 *     IBM Corporation - initial API and implementation
 *******************************************************************************/

package org.eclipse.osgi.internal.container;

import java.util.*;

/**
 * Borrowed from org.eclipse.core.internal.resources.ComputeProjectOrder
 * to be used when computing the stop order.
 * Implementation of a sort algorithm for computing the node order. This
 * algorithm handles cycles in the node reference graph in a reasonable way.
 *
 * @since 3.0
 */
public class ComputeNodeOrder {

	/*
	 * Prevent class from being instantiated.
	 */
	private ComputeNodeOrder() {
		// not allowed
	}

	/**
	 * A directed graph. Once the vertexes and edges of the graph have been
	 * defined, the graph can be queried for the depth-first finish time of each
	 * vertex.
	 * 

	 * Ref: Cormen, Leiserson, and Rivest Introduction to Algorithms,
	 * McGraw-Hill, 1990. The depth-first search algorithm is in section 23.3.
	 * 

	 */
	private static class Digraph {
		/**
		 * struct-like object for representing a vertex along with various
		 * values computed during depth-first search (DFS).
		 */
		public static class Vertex {
			/**
			 * White is for marking vertexes as unvisited.
			 */
			public static final String WHITE = "white"; //$NON-NLS-1$

			/**
			 * Grey is for marking vertexes as discovered but visit not yet
			 * finished.
			 */
			public static final String GREY = "grey"; //$NON-NLS-1$

			/**
			 * Black is for marking vertexes as visited.
			 */
			public static final String BLACK = "black"; //$NON-NLS-1$

			/**
			 * Color of the vertex. One of WHITE (unvisited),
			 * GREY (visit in progress), or BLACK
			 * (visit finished). WHITE initially.
			 */
			public String color = WHITE;

			/**
			 * The DFS predecessor vertex, or null if there is no
			 * predecessor. null initially.
			 */
			public Vertex predecessor = null;

			/**
			 * Timestamp indicating when the vertex was finished (became BLACK)
			 * in the DFS. Finish times are between 1 and the number of
			 * vertexes.
			 */
			public int finishTime;

			/**
			 * The id of this vertex.
			 */
			public Object id;

			/**
			 * Ordered list of adjacent vertexes. In other words, "this" is the
			 * "from" vertex and the elements of this list are all "to"
			 * vertexes.
			 *
			 * Element type: Vertex
			 */
			public List adjacent = new ArrayList<>(3);

			/**
			 * Creates a new vertex with the given id.
			 *
			 * @param id the vertex id
			 */
			public Vertex(Object id) {
				this.id = id;
			}
		}

		/**
		 * Ordered list of all vertexes in this graph.
		 *
		 * Element type: Vertex
		 */
		private List vertexList = new ArrayList<>(100);

		/**
		 * Map from id to vertex.
		 *
		 * Key type: Object; value type: Vertex
		 */
		private Map vertexMap = new HashMap<>(100);

		/**
		 * DFS visit time. Non-negative.
		 */
		private int time;

		/**
		 * Indicates whether the graph has been initialized. Initially
		 * false.
		 */
		private boolean initialized = false;

		/**
		 * Indicates whether the graph contains cycles. Initially
		 * false.
		 */
		private boolean cycles = false;

		/**
		 * Creates a new empty directed graph object.
		 * 

		 * After this graph's vertexes and edges are defined with
		 * addVertex and addEdge, call
		 * freeze to indicate that the graph is all there, and then
		 * call idsByDFSFinishTime to read off the vertexes ordered
		 * by DFS finish time.
		 * 

		 */
		public Digraph() {
			super();
		}

		/**
		 * Freezes this graph. No more vertexes or edges can be added to this
		 * graph after this method is called. Has no effect if the graph is
		 * already frozen.
		 */
		public void freeze() {
			if (!initialized) {
				initialized = true;
				// only perform depth-first-search once
				DFS();
			}
		}

		/**
		 * Defines a new vertex with the given id. The depth-first search is
		 * performed in the relative order in which vertexes were added to the
		 * graph.
		 *
		 * @param id the id of the vertex
		 * @exception IllegalArgumentException if the vertex id is
		 * already defined or if the graph is frozen
		 */
		public void addVertex(Object id) throws IllegalArgumentException {
			if (initialized) {
				throw new IllegalArgumentException();
			}
			Vertex vertex = new Vertex(id);
			Object existing = vertexMap.put(id, vertex);
			// nip problems with duplicate vertexes in the bud
			if (existing != null) {
				throw new IllegalArgumentException();
			}
			vertexList.add(vertex);
		}

		/**
		 * Adds a new directed edge between the vertexes with the given ids.
		 * Vertexes for the given ids must be defined beforehand with
		 * addVertex. The depth-first search is performed in the
		 * relative order in which adjacent "to" vertexes were added to a given
		 * "from" index.
		 *
		 * @param fromId the id of the "from" vertex
		 * @param toId the id of the "to" vertex
		 * @exception IllegalArgumentException if either vertex is undefined or
		 * if the graph is frozen
		 */
		public void addEdge(Object fromId, Object toId) throws IllegalArgumentException {
			if (initialized) {
				throw new IllegalArgumentException();
			}
			Vertex fromVertex = vertexMap.get(fromId);
			Vertex toVertex = vertexMap.get(toId);
			// ignore edges when one of the vertices is unknown
			if (fromVertex == null || toVertex == null)
				return;
			fromVertex.adjacent.add(toVertex);
		}

		/**
		 * Returns the ids of the vertexes in this graph ordered by depth-first
		 * search finish time. The graph must be frozen.
		 *
		 * @param increasing true if objects are to be arranged
		 * into increasing order of depth-first search finish time, and
		 * false if objects are to be arranged into decreasing
		 * order of depth-first search finish time
		 * @return the list of ids ordered by depth-first search finish time
		 * (element type: Object)
		 * @exception IllegalArgumentException if the graph is not frozen
		 */
		public List idsByDFSFinishTime(boolean increasing) {
			if (!initialized) {
				throw new IllegalArgumentException();
			}
			int len = vertexList.size();
			Object[] r = new Object[len];
			for (Vertex vertex : vertexList) {
				int f = vertex.finishTime;
				// note that finish times start at 1, not 0
				if (increasing) {
					r[f - 1] = vertex.id;
				} else {
					r[len - f] = vertex.id;
				}
			}
			return Arrays.asList(r);
		}

		/**
		 * Returns whether the graph contains cycles. The graph must be frozen.
		 *
		 * @return true if this graph contains at least one cycle,
		 * and false if this graph is cycle free
		 * @exception IllegalArgumentException if the graph is not frozen
		 */
		public boolean containsCycles() {
			if (!initialized) {
				throw new IllegalArgumentException();
			}
			return cycles;
		}

		/**
		 * Returns the non-trivial components of this graph. A non-trivial
		 * component is a set of 2 or more vertexes that were traversed
		 * together. The graph must be frozen.
		 *
		 * @return the possibly empty list of non-trivial components, where
		 * each component is an array of ids (element type:
		 * Object[])
		 * @exception IllegalArgumentException if the graph is not frozen
		 */
		public List nonTrivialComponents() {
			if (!initialized) {
				throw new IllegalArgumentException();
			}
			// find the roots of each component
			// Map> components
			Map> components = new HashMap<>();
			for (Vertex vertex : vertexList) {
				if (vertex.predecessor == null) {
					// this vertex is the root of a component
					// if component is non-trivial we will hit a child
				} else {
					// find the root ancestor of this vertex
					Vertex root = vertex;
					while (root.predecessor != null) {
						root = root.predecessor;
					}
					List component = components.get(root);
					if (component == null) {
						component = new ArrayList<>(2);
						component.add(root.id);
						components.put(root, component);
					}
					component.add(vertex.id);
				}
			}
			List result = new ArrayList<>(components.size());
			for (List component : components.values()) {
				if (component.size() > 1) {
					result.add(component.toArray());
				}
			}
			return result;
		}

		//		/**
		//		 * Performs a depth-first search of this graph and records interesting
		//		 * info with each vertex, including DFS finish time. Employs a recursive
		//		 * helper method DFSVisit.
		//		 * 

		//		 * Although this method is not used, it is the basis of the
		//		 * non-recursive DFS method.
		//		 * 

		//		 */
		//		private void recursiveDFS() {
		//			// initialize
		//			// all vertex.color initially Vertex.WHITE;
		//			// all vertex.predecessor initially null;
		//			time = 0;
		//			for (Iterator allV = vertexList.iterator(); allV.hasNext();) {
		//				Vertex nextVertex = (Vertex) allV.next();
		//				if (nextVertex.color == Vertex.WHITE) {
		//					DFSVisit(nextVertex);
		//				}
		//			}
		//		}
		//
		//		/**
		//		 * Helper method. Performs a depth first search of this graph.
		//		 *
		//		 * @param vertex the vertex to visit
		//		 */
		//		private void DFSVisit(Vertex vertex) {
		//			// mark vertex as discovered
		//			vertex.color = Vertex.GREY;
		//			List adj = vertex.adjacent;
		//			for (Iterator allAdjacent=adj.iterator(); allAdjacent.hasNext();) {
		//				Vertex adjVertex = (Vertex) allAdjacent.next();
		//				if (adjVertex.color == Vertex.WHITE) {
		//					// explore edge from vertex to adjVertex
		//					adjVertex.predecessor = vertex;
		//					DFSVisit(adjVertex);
		//				} else if (adjVertex.color == Vertex.GREY) {
		//                  // back edge (grey vertex means visit in progress)
		//                  cycles = true;
		//              }
		//			}
		//			// done exploring vertex
		//			vertex.color = Vertex.BLACK;
		//			time++;
		//			vertex.finishTime = time;
		//		}

		/**
		 * Performs a depth-first search of this graph and records interesting
		 * info with each vertex, including DFS finish time. Does not employ
		 * recursion.
		 */
		private void DFS() {
			// state machine rendition of the standard recursive DFS algorithm
			int state;
			final int NEXT_VERTEX = 1;
			final int START_DFS_VISIT = 2;
			final int NEXT_ADJACENT = 3;
			final int AFTER_NEXTED_DFS_VISIT = 4;
			// use precomputed objects to avoid garbage
			final Integer NEXT_VERTEX_OBJECT = Integer.valueOf(NEXT_VERTEX);
			final Integer AFTER_NEXTED_DFS_VISIT_OBJECT = Integer.valueOf(AFTER_NEXTED_DFS_VISIT);
			// initialize
			// all vertex.color initially Vertex.WHITE;
			// all vertex.predecessor initially null;
			time = 0;
			// for a stack, append to the end of an array-based list
			List stack = new ArrayList<>(Math.max(1, vertexList.size()));
			Iterator allAdjacent = null;
			Vertex vertex = null;
			Iterator allV = vertexList.iterator();
			state = NEXT_VERTEX;
			nextStateLoop: while (true) {
				switch (state) {
					case NEXT_VERTEX :
						// on entry, "allV" contains vertexes yet to be visited
						if (!allV.hasNext()) {
							// all done
							break nextStateLoop;
						}
						Vertex nextVertex = allV.next();
						if (nextVertex.color == Vertex.WHITE) {
							stack.add(NEXT_VERTEX_OBJECT);
							vertex = nextVertex;
							state = START_DFS_VISIT;
							continue nextStateLoop;
						}
						state = NEXT_VERTEX;
						continue nextStateLoop;
					case START_DFS_VISIT :
						// on entry, "vertex" contains the vertex to be visited
						// top of stack is return code
						// mark the vertex as discovered
						vertex.color = Vertex.GREY;
						allAdjacent = vertex.adjacent.iterator();
						state = NEXT_ADJACENT;
						continue nextStateLoop;
					case NEXT_ADJACENT :
						// on entry, "allAdjacent" contains adjacent vertexes to
						// be visited; "vertex" contains vertex being visited
						if (allAdjacent.hasNext()) {
							Vertex adjVertex = allAdjacent.next();
							if (adjVertex.color == Vertex.WHITE) {
								// explore edge from vertex to adjVertex
								adjVertex.predecessor = vertex;
								stack.add(allAdjacent);
								stack.add(vertex);
								stack.add(AFTER_NEXTED_DFS_VISIT_OBJECT);
								vertex = adjVertex;
								state = START_DFS_VISIT;
								continue nextStateLoop;
							}
							if (adjVertex.color == Vertex.GREY) {
								// back edge (grey means visit in progress)
								cycles = true;
							}
							state = NEXT_ADJACENT;
							continue nextStateLoop;
						}
						// done exploring vertex
						vertex.color = Vertex.BLACK;
						time++;
						vertex.finishTime = time;
						state = ((Integer) stack.remove(stack.size() - 1)).intValue();
						continue nextStateLoop;
					case AFTER_NEXTED_DFS_VISIT :
						// on entry, stack contains "vertex" and "allAjacent"
						vertex = (Vertex) stack.remove(stack.size() - 1);
						@SuppressWarnings("unchecked")
						Iterator unchecked = (Iterator) stack.remove(stack.size() - 1);
						allAdjacent = unchecked;
						state = NEXT_ADJACENT;
						continue nextStateLoop;
				}
			}
		}

	}

	/**
	 * Sorts the given list of projects in a manner that honors the given
	 * project reference relationships. That is, if project A references project
	 * B, then the resulting order will list B before A if possible. For graphs
	 * that do not contain cycles, the result is the same as a conventional
	 * topological sort. For graphs containing cycles, the order is based on
	 * ordering the strongly connected components of the graph. This has the
	 * effect of keeping each knot of projects together without otherwise
	 * affecting the order of projects not involved in a cycle. For a graph G,
	 * the algorithm performs in O(|G|) space and time.
	 * 

	 * When there is an arbitrary choice, vertexes are ordered as supplied.
	 * Arranged projects in descending alphabetical order generally results in
	 * an order that builds "A" before "Z" when there are no other constraints.
	 * 

	 * 
 Ref: Cormen, Leiserson, and Rivest Introduction to
	 * Algorithms, McGraw-Hill, 1990. The strongly-connected-components
	 * algorithm is in section 23.5.
	 * 

	 *
	 * @param objects a list of projects (element type:
	 * IProject)
	 * @param references a list of project references [A,B] meaning that A
	 * references B (element type: IProject[])
	 * @return an object describing the resulting project order
	 */
	public static Object[][] computeNodeOrder(Object[] objects, Object[][] references) {

		// Step 1: Create the graph object.
		final Digraph g1 = new Digraph();
		// add vertexes
		for (Object object : objects) {
			g1.addVertex(object);
		}
		// add edges
		for (Object[] reference : references) {
			// create an edge from q to p
			// to cause q to come before p in eventual result
			g1.addEdge(reference[1], reference[0]);
		}
		g1.freeze();

		// Step 2: Create the transposed graph. This time, define the vertexes
		// in decreasing order of depth-first finish time in g1
		// interchange "to" and "from" to reverse edges from g1
		final Digraph g2 = new Digraph();
		// add vertexes
		List resortedVertexes = g1.idsByDFSFinishTime(false);
		for (Object object : resortedVertexes)
			g2.addVertex(object);
		// add edges
		for (Object[] reference : references) {
			g2.addEdge(reference[0], reference[1]);
		}
		g2.freeze();

		// Step 3: Return the vertexes in increasing order of depth-first finish
		// time in g2
		List sortedProjectList = g2.idsByDFSFinishTime(true);
		Object[] orderedNodes = new Object[sortedProjectList.size()];
		sortedProjectList.toArray(orderedNodes);
		Object[][] knots;
		boolean hasCycles = g2.containsCycles();
		if (hasCycles) {
			List knotList = g2.nonTrivialComponents();
			knots = knotList.toArray(new Object[knotList.size()][]);
		} else {
			knots = new Object[0][];
		}
		for (int i = 0; i < orderedNodes.length; i++)
			objects[i] = orderedNodes[i];
		return knots;
	}
}
 















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