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CourseScheduleII.java
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102 lines (95 loc) · 3.39 KB
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package depth_first_search;
import java.util.*;
/**
* Created by gouthamvidyapradhan on 23/06/2017.
* There are a total of n courses you have to take, labeled from 0 to n - 1.
* <p>
* Some courses may have prerequisites, for example to take course 0 you have to first take course 1, which is expressed as a pair: [0,1]
* <p>
* Given the total number of courses and a list of prerequisite pairs, return the ordering of courses you should take to finish all courses.
* <p>
* There may be multiple correct orders, you just need to return one of them. If it is impossible to finish all courses, return an empty array.
* <p>
* For example:
* <p>
* 2, [[1,0]]
* There are a total of 2 courses to take. To take course 1 you should have finished course 0. So the correct course order is [0,1]
* <p>
* 4, [[1,0],[2,0],[3,1],[3,2]]
* There are a total of 4 courses to take. To take course 3 you should have finished both courses 1 and 2. Both courses 1 and 2 should be taken after you finished course 0. So one correct course order is [0,1,2,3]. Another correct ordering is[0,2,1,3].
* <p>
* Note:
* The input prerequisites is a graph represented by a list of edges, not adjacency matrices. Read more about how a graph is represented.
* You may assume that there are no duplicate edges in the input prerequisites.
*/
public class CourseScheduleII {
private Map<Integer, List<Integer>> graph;
private BitSet visited;
private Queue<Integer> toposorted;
public static void main(String[] args) throws Exception {
int[][] pre = {{1, 0}};
int[] result = new CourseScheduleII().findOrder(2, pre);
for (int i : result)
System.out.print(i + " ");
System.out.println();
}
public int[] findOrder(int numCourses, int[][] prerequisites) {
int j = 0;
int[] courses = new int[numCourses];
int[] result = new int[numCourses];
for (int i = 0; i < numCourses; i++)
courses[i] = j++;
graph = new HashMap<>();
visited = new BitSet();
toposorted = new ArrayDeque<>();
//build graph
for (int[] children : prerequisites) {
graph.putIfAbsent(children[0], new ArrayList<>());
graph.get(children[0]).add(children[1]);
}
graph.keySet().stream().filter(v -> !visited.get(v)).forEach(this::dfs);
visited.clear();
int i = 0;
while (!toposorted.isEmpty()) {
int v = toposorted.poll();
if (visited.get(v))
return new int[0];
relax(v);
result[i++] = v;
courses[v] = -1;
}
//add the remaining courses
for (int c : courses)
if (c != -1)
result[i++] = c;
return result;
}
/**
* Mark a vetex and its connected vertices as visited.
*
* @param v vertex
*/
private void relax(int v) {
visited.set(v);
List<Integer> children = graph.get(v);
if (children != null) {
for (int c : children)
visited.set(c);
}
}
/**
* Toposort
*
* @param v vertex
*/
private void dfs(int v) {
visited.set(v);
List<Integer> children = graph.get(v);
if (children != null) {
for (int c : children)
if (!visited.get(c))
dfs(c);
}
toposorted.offer(v);
}
}