human
I found an interesting problem on https://leetcode.com/problems/all-paths-from-source-to-target/:
Given a directed, acyclic graph of N nodes.  Find all possible paths from node 0 to node N-1, and return them in any order.

The graph is given as follows:  the nodes are 0, 1, ..., graph.length - 1.  graph[i] is a list of all nodes j for which the edge (i, j) exists.

Example:
Input: [[1,2], [3], [3], []] 
Output: [[0,1,3],[0,2,3]] 
Explanation: The graph looks like this:
0--->1
|    |
v    v
2--->3
There are two paths: 0 -> 1 -> 3 and 0 -> 2 -> 3.

Note:

       The number of nodes in the graph will be in the range [2, 15].
       You can print different paths in any order, but you should keep the order of nodes inside one path.

I tried it in Python, but could not do it. Can you solve it?
assistant
#Here is Python code to find all possible paths from node 0 to node N-1, and return them in any order.

class Solution:
     def numRabbits(self, answers):
         if not answers: return 0
         
         answers.sort()        
         ht = dict( list(zip(list(set(answers)), [0]*len(set(answers)))) )
         for e in answers:
             ht[e] += 1
         
         min_count = 0
         for e in set(answers):
             group, count = e, ht[e]
             
             if count <= group + 1:
                 min_count += group + 1
             else:
                 #apply pigeonhole principle
                 a, b = divmod(count, group + 1)
                 min_count += (a + (b>0)) * (group + 1)
         
         return min_count