LeetCode 0797. All Paths From Source to Target Solution in Java, C++, Python & More | Explanation + Code

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0797. All Paths From Source to Target

Description

Given a directed acyclic graph (DAG) of n nodes labeled from 0 to n - 1, find all possible paths from node 0 to node n - 1 and return them in any order.

The graph is given as follows: graph[i] is a list of all nodes you can visit from node i (i.e., there is a directed edge from node i to node graph[i][j]).

 

Example 1:

Input: graph = [[1,2],[3],[3],[]]
Output: [[0,1,3],[0,2,3]]
Explanation: There are two paths: 0 -> 1 -> 3 and 0 -> 2 -> 3.

Example 2:

Input: graph = [[4,3,1],[3,2,4],[3],[4],[]]
Output: [[0,4],[0,3,4],[0,1,3,4],[0,1,2,3,4],[0,1,4]]

 

Constraints:

  • n == graph.length
  • 2 <= n <= 15
  • 0 <= graph[i][j] < n
  • graph[i][j] != i (i.e., there will be no self-loops).
  • All the elements of graph[i] are unique.
  • The input graph is guaranteed to be a DAG.

Solutions

Solution 1

PythonJavaC++GoRustJavaScriptTypeScript
class Solution: def allPathsSourceTarget(self, graph: List[List[int]]) -> List[List[int]]: n = len(graph) q = deque([[0]]) ans = [] while q: path = q.popleft() u = path[-1] if u == n - 1: ans.append(path) continue for v in graph[u]: q.append(path + [v]) return ans(code-box)

Solution 2

PythonJava
class Solution: def allPathsSourceTarget(self, graph: List[List[int]]) -> List[List[int]]: def dfs(t): if t[-1] == len(graph) - 1: ans.append(t[:]) return for v in graph[t[-1]]: t.append(v) dfs(t) t.pop() ans = [] dfs([0]) return ans(code-box)

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