human
I found an interesting problem on https://leetcode.com/problems/find-eventual-safe-states/:
In a directed graph, we start at some node and every turn, walk along a directed edge of the graph.  If we reach a node that is terminal (that is, it has no outgoing directed edges), we stop.
Now, say our starting node is eventually safe if and only if we must eventually walk to a terminal node.  More specifically, there exists a natural number K so that for any choice of where to walk, we must have stopped at a terminal node in less than K steps.
Which nodes are eventually safe?  Return them as an array in sorted order.
The directed graph has N nodes with labels 0, 1, ..., N-1, where N is the length of graph.  The graph is given in the following form: graph[i] is a list of labels j such that (i, j) is a directed edge of the graph.
Example:
Input: graph = [[1,2],[2,3],[5],[0],[5],[],[]]
Output: [2,4,5,6]
Here is a diagram of the above graph.


Note:

graph will have length at most 10000.
The number of edges in the graph will not exceed 32000.
Each graph[i] will be a sorted list of different integers, chosen within the range [0, graph.length - 1].

I tried it in Python, but could not do it. Can you solve it?

 ... What is a the Python program you requested?
assistant
#Here is the Python program you requested.

class Solution:
    def eventualSafeNodes(self, graph: List[List[int]]) -> List[int]:
        visited = {}
        departures = [-1] * len(graph)
        res = []
        def _dfs(node):
            visited[node] = 1
            neighbors = graph[node]
        
            for neighbor in neighbors:
                if neighbor not in visited:
                    if _dfs(neighbor):
                        return True 
                else:
                    if departures[neighbor] == -1:
                        return True
                    
            departures[node] = 1
            return False
        
        
        for i in range(0, len(graph)):
            if not _dfs(i):
                res.append(i)
        return res