Description
There is an undirected connected tree with n
nodes labeled from 0
to n - 1
and n - 1
edges.
You are given the integer n
and the array edges
where edges[i] = [ai, bi]
indicates that there is an edge between nodes ai
and bi
in the tree.
Return an array answer
of length n
where answer[i]
is the sum of the distances between the ith
node in the tree and all other nodes.
Example 1:

Input: n = 6, edges = [[0,1],[0,2],[2,3],[2,4],[2,5]] Output: [8,12,6,10,10,10] Explanation: The tree is shown above. We can see that dist(0,1) + dist(0,2) + dist(0,3) + dist(0,4) + dist(0,5) equals 1 + 1 + 2 + 2 + 2 = 8. Hence, answer[0] = 8, and so on.
Example 2:

Input: n = 1, edges = [] Output: [0]
Example 3:

Input: n = 2, edges = [[1,0]] Output: [1,1]
Constraints:
1 <= n <= 3 * 104
edges.length == n - 1
edges[i].length == 2
0 <= ai, bi < n
ai != bi
- The given input represents a valid tree.
Solution
Python3
class Solution:
def sumOfDistancesInTree(self, n: int, edges: List[List[int]]) -> List[int]:
graph = defaultdict(list)
for a, b in edges:
graph[a].append(b)
graph[b].append(a)
count = [0] * n
res = [0] * n
def dfs(node, prev):
for adj in graph[node]:
if adj == prev: continue
dfs(adj, node)
count[node] += count[adj]
res[node] += res[adj] + count[adj]
count[node] += 1
def dfs2(node, prev):
for adj in graph[node]:
if adj == prev: continue
# closer -> count[adj] gets 1 closer to the root
# further -> n - count[adj] gets 1 further to the root
res[adj] = res[node] - count[adj] + n - count[adj]
dfs2(adj, node)
dfs(0, -1)
dfs2(0, -1)
return res