Palo Alto Interview Question: Course Schedule (Topological Sort with Prerequisites)

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Problem Description

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 the ordering of courses you should take to finish all courses.
If there are many valid answers, return any of them.
If it is impossible to finish all courses, return an empty array.


Example 1

Input: 
numCourses = 2
prerequisites = [[1,0]]

Output: [0,1]

Explanation:
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].

Example 2

Input:
numCourses = 4
prerequisites = [[1,0],[2,0],[3,1],[3,2]]

Output: [0,2,1,3]

Explanation:
There are a total of 4 courses to take.
To take course 3, you should have finished 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].

Example 3

Input:
numCourses = 1
prerequisites = []

Output: [0]

This problem models course prerequisites as a directed graph and asks for any valid topological ordering.
If the graph contains a cycle, no valid ordering exists and an empty array should be returned.
The standard solution uses topological sorting (Kahn’s algorithm or DFS-based cycle detection) with time complexity O(V + E).

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