Clone Graph
Problem Statement
Given a reference of a node in a connected undirected graph.
Return a deep copy (clone) of the graph.
Each node in the graph contains a value (int
) and a list (List[Node]
) of its neighbors.
class Node {
public int val;
public List<Node> neighbors;
}
Test case format:
For simplicity, each node's value is the same as the node's index (1-indexed). For example, the first node with val == 1
, the second node with val == 2
, and so on. The graph is represented in the test case using an adjacency list.
An adjacency list is a collection of unordered lists used to represent a finite graph. Each list describes the set of neighbors of a node in the graph.
The given node will always be the first node with val = 1
. You must return the copy of the given node as a reference to the cloned graph.
Example 1:
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)
.
Example 2:
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.
Example 3:
Input: adjList = []
Output: []
Explanation:
This an empty graph, it does not have any nodes.
Constraints:
- The number of nodes in the graph is in the range
[0, 100]
. 1 <= Node.val <= 100
Node.val
is unique for each node.- There are no repeated edges and no self-loops in the graph.
- The Graph is connected and all nodes can be visited starting from the given node.
Code
class Node:
def __init__(self, val=0, neighbors=None):
self.val = val
self.neighbors = neighbors if neighbors is not None else []
class Solution:
def cloneGraph(self, node):
oldToNew = {}
def cloneNode(node):
if node in oldToNew:
return oldToNew[node]
copy = Node(node.val)
oldToNew[node] = copy
for nei in node.neighbors:
copy.neighbors.append(cloneNode(nei))
return copy
return cloneNode(node) if cloneNode(node) else None