Leetcode 133. Clone Graph
Explanation for Leetcode 133 - Clone Graph, and its solution in Python.
Problem
Example:
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Input: adjList = [[2,4],[1,3],[2,4],[1,3]]
Output: [[2,4],[1,3],[2,4],[1,3]]
Explanation: There are 4 nodes in the graph.
1st node (val = 1)'s neighbors are 2nd node (val = 2) and 4th node (val = 4).
2nd node (val = 2)'s neighbors are 1st node (val = 1) and 3rd node (val = 3).
3rd node (val = 3)'s neighbors are 2nd node (val = 2) and 4th node (val = 4).
4th node (val = 4)'s neighbors are 1st node (val = 1) and 3rd node (val = 3).
Input: adjList = [[]]
Output: [[]]
Explanation: Note that the input contains one empty list. The graph consists of only one node with val = 1 and it does not have any neighbors.
Input: adjList = []
Output: []
Explanation: This an empty graph, it does not have any nodes.
Approach
We can use DFS to find all the neighbors, and we can use visisted hash map to track what’s been visited since all node.val are unique
Here is the Python code for the solution:
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class Solution:
def cloneGraph(self, node: Optional['Node']) -> Optional['Node']:
visited = {}
def dfs(node):
if node in visited:
return visited[node]
copy = Node(node.val)
visited[node] = copy
for n in node.neighbors:
copy.neighbors.append(dfs(n))
return copy
return dfs(node) if node else None
Time Complexity and Space Complexity
Time Complexity: $O(V+E)$
Space Complexity: $O(V)$
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