Medium
,Tree
,DFS
,BFS
,Counting
1519. Number of Nodes in the Sub-Tree With the Same Label
You are given a tree (i.e. a connected, undirected graph that has no cycles) consisting of n
nodes numbered from 0
to n - 1
and exactly n - 1
edges
. The root of the tree is the node 0
, and each node of the tree has a label which is a lower-case character given in the string labels
(i.e. The node with the number i
has the label labels[i]
).
The edges
array is given on the form edges[i]
= [
Return an array of size n
where ans[i]
is the number of nodes in the subtree of the ith node which have the same label as node i
.
A subtree of a tree T
is the tree consisting of a node in T
and all of its descendant nodes.
Example 1:
Input: n = 7, edges = [[0,1],[0,2],[1,4],[1,5],[2,3],[2,6]], labels = "abaedcd"
Output: [2,1,1,1,1,1,1]
Explanation: Node 0 has label 'a' and its sub-tree has node 2 with label 'a' as well, thus the answer is 2. Notice that any node is part of its sub-tree.
Node 1 has a label 'b'. The sub-tree of node 1 contains nodes 1,4 and 5, as nodes 4 and 5 have different labels than node 1, the answer is just 1 (the node itself).
Example 2:
Input: n = 4, edges = [[0,1],[1,2],[0,3]], labels = "bbbb"
Output: [4,2,1,1]
Explanation: The sub-tree of node 2 contains only node 2, so the answer is 1.
The sub-tree of node 3 contains only node 3, so the answer is 1.
The sub-tree of node 1 contains nodes 1 and 2, both have label 'b', thus the answer is 2.
The sub-tree of node 0 contains nodes 0, 1, 2 and 3, all with label 'b', thus the answer is 4.
Example 3:
Input: n = 5, edges = [[0,1],[0,2],[1,3],[0,4]], labels = "aabab"
Output: [3,2,1,1,1]
Constraints:
n
<= 105edges.length
== n - 1
edges[i].length
== 2n
labels.length
== n
labels
is consisting of only of lowercase English letters.
class Solution:
def countSubTrees(self, n: int, edges: List[List[int]], labels: str) -> List[int]:
def merge_two_dicts(x, y):
z = x.copy() # start with keys and values of x
for k,v in y.items():
if k in z:
z[k] += v
else:
z[k] = v
return z
def dfs(node):
cur_stat = dict()
cur_stat[ labels[node] ] = 1
self.ans[node] = 1
#print('#',node, self.edge[node])
for child in self.edge[node]:
#print(node,child)
if self.visited[child] == 1:
continue
self.visited[child] = 1
cur_stat = merge_two_dicts(cur_stat, dfs(child))
self.ans[node] = cur_stat[ labels[node] ]
#print(node, cur_stat)
return cur_stat
self.ans = dict()
self.edge = dict()
for i in range(n):
self.edge[i] = []
for src,dest in edges:
self.edge[src].append(dest)
self.edge[dest].append(src)
self.visited = [ 0 for _ in range(n)]
self.visited[0]= 1
root_stat = dfs(0)
self.ans[0] = root_stat[labels[0]]
return [ self.ans[i] for i in range(n)]
玉山
class Solution:
def countSubTrees(self, n: int, edges: List[List[int]], labels: str) -> List[int]:
tree = defaultdict(list)
for a, b in edges:
tree[a].append(b)
tree[b].append(a)
ans = [0] * n
def dfs(node, parent = -1):
count = Counter()
for child in tree[node]:
if child == parent: continue
count += dfs(child, node)
count[labels[node]] += 1
ans[node] = count[labels[node]]
return count
dfs(0)
return ans
Yen-Chi ChenFri, Jan 13, 2023