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Java-based LeetCode algorithm problem solutions, regularly updated
package g0201_0300.s0207_course_schedule;
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import java.util.ArrayList;
/**
* 207 - Course Schedule\.
*
* Medium
*
* There are a total of `numCourses` courses you have to take, labeled from `0` to `numCourses - 1`. You are given an array `prerequisites` where prerequisites[i] = [ai, bi]
indicates that you **must** take course bi
first if you want to take course ai
.
*
* * For example, the pair `[0, 1]`, indicates that to take course `0` you have to first take course `1`.
*
* Return `true` if you can finish all courses. Otherwise, return `false`.
*
* **Example 1:**
*
* **Input:** numCourses = 2, prerequisites = \[\[1,0]]
*
* **Output:** true
*
* **Explanation:** There are a total of 2 courses to take. To take course 1 you should have finished course 0. So it is possible.
*
* **Example 2:**
*
* **Input:** numCourses = 2, prerequisites = \[\[1,0],[0,1]]
*
* **Output:** false
*
* **Explanation:** There are a total of 2 courses to take. To take course 1 you should have finished course 0, and to take course 0 you should also have finished course 1. So it is impossible.
*
* **Constraints:**
*
* * 1 <= numCourses <= 105
* * `0 <= prerequisites.length <= 5000`
* * `prerequisites[i].length == 2`
* * 0 <= ai, bi < numCourses
* * All the pairs prerequisites[i] are **unique**.
**/
@SuppressWarnings("unchecked")
public class Solution {
private static final int WHITE = 0;
private static final int GRAY = 1;
private static final int BLACK = 2;
public boolean canFinish(int numCourses, int[][] prerequisites) {
ArrayList[] adj = new ArrayList[numCourses];
for (int i = 0; i < numCourses; i++) {
adj[i] = new ArrayList<>();
}
for (int[] pre : prerequisites) {
adj[pre[1]].add(pre[0]);
}
int[] colors = new int[numCourses];
for (int i = 0; i < numCourses; i++) {
if (colors[i] == WHITE && !adj[i].isEmpty() && hasCycle(adj, i, colors)) {
return false;
}
}
return true;
}
private boolean hasCycle(ArrayList[] adj, int node, int[] colors) {
colors[node] = GRAY;
for (int nei : adj[node]) {
if (colors[nei] == GRAY) {
return true;
}
if (colors[nei] == WHITE && hasCycle(adj, nei, colors)) {
return true;
}
}
colors[node] = BLACK;
return false;
}
}
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