{ "data": { "question": { "questionId": "3829", "questionFrontendId": "3515", "categoryTitle": "Algorithms", "boundTopicId": 3648757, "title": "Shortest Path in a Weighted Tree", "titleSlug": "shortest-path-in-a-weighted-tree", "content": "
You are given an integer n
and an undirected, weighted tree rooted at node 1 with n
nodes numbered from 1 to n
. This is represented by a 2D array edges
of length n - 1
, where edges[i] = [ui, vi, wi]
indicates an undirected edge from node ui
to vi
with weight wi
.
You are also given a 2D integer array queries
of length q
, where each queries[i]
is either:
[1, u, v, w']
– Update the weight of the edge between nodes u
and v
to w'
, where (u, v)
is guaranteed to be an edge present in edges
.[2, x]
– Compute the shortest path distance from the root node 1 to node x
.Return an integer array answer
, where answer[i]
is the shortest path distance from node 1 to x
for the ith
query of [2, x]
.
\n
Example 1:
\n\nInput: n = 2, edges = [[1,2,7]], queries = [[2,2],[1,1,2,4],[2,2]]
\n\nOutput: [7,4]
\n\nExplanation:
\n\n[2,2]
: The shortest path from root node 1 to node 2 is 7.[1,1,2,4]
: The weight of edge (1,2)
changes from 7 to 4.[2,2]
: The shortest path from root node 1 to node 2 is 4.Example 2:
\n\nInput: n = 3, edges = [[1,2,2],[1,3,4]], queries = [[2,1],[2,3],[1,1,3,7],[2,2],[2,3]]
\n\nOutput: [0,4,2,7]
\n\nExplanation:
\n\n[2,1]
: The shortest path from root node 1 to node 1 is 0.[2,3]
: The shortest path from root node 1 to node 3 is 4.[1,1,3,7]
: The weight of edge (1,3)
changes from 4 to 7.[2,2]
: The shortest path from root node 1 to node 2 is 2.[2,3]
: The shortest path from root node 1 to node 3 is 7.Example 3:
\n\nInput: n = 4, edges = [[1,2,2],[2,3,1],[3,4,5]], queries = [[2,4],[2,3],[1,2,3,3],[2,2],[2,3]]
\n\nOutput: [8,3,2,5]
\n\nExplanation:
\n\n[2,4]
: The shortest path from root node 1 to node 4 consists of edges (1,2)
, (2,3)
, and (3,4)
with weights 2 + 1 + 5 = 8
.[2,3]
: The shortest path from root node 1 to node 3 consists of edges (1,2)
and (2,3)
with weights 2 + 1 = 3
.[1,2,3,3]
: The weight of edge (2,3)
changes from 1 to 3.[2,2]
: The shortest path from root node 1 to node 2 is 2.[2,3]
: The shortest path from root node 1 to node 3 consists of edges (1,2)
and (2,3)
with updated weights 2 + 3 = 5
.\n
Constraints:
\n\n1 <= n <= 105
edges.length == n - 1
edges[i] == [ui, vi, wi]
1 <= ui, vi <= n
1 <= wi <= 104
edges
represents a valid tree.1 <= queries.length == q <= 105
queries[i].length == 2
or 4
\n\tqueries[i] == [1, u, v, w']
or,queries[i] == [2, x]
1 <= u, v, x <= n
(u, v)
is always an edge from edges
.1 <= w' <= 104
给你一个整数 n
和一个以节点 1 为根的无向带权树,该树包含 n
个编号从 1 到 n
的节点。它由一个长度为 n - 1
的二维数组 edges
表示,其中 edges[i] = [ui, vi, wi]
表示一条从节点 ui
到 vi
的无向边,权重为 wi
。
同时给你一个二维整数数组 queries
,长度为 q
,其中每个 queries[i]
为以下两种之一:
[1, u, v, w']
– 更新 节点 u
和 v
之间边的权重为 w'
,其中 (u, v)
保证是 edges
中存在的边。[2, x]
– 计算 从根节点 1 到节点 x
的 最短 路径距离。返回一个整数数组 answer
,其中 answer[i]
是对于第 i
个 [2, x]
查询,从节点 1 到 x
的最短路径距离。
\n\n
示例 1:
\n\n输入: n = 2, edges = [[1,2,7]], queries = [[2,2],[1,1,2,4],[2,2]]
\n\n输出: [7,4]
\n\n解释:
\n\n[2,2]
:从根节点 1 到节点 2 的最短路径为 7。[1,1,2,4]
:边 (1,2)
的权重从 7 变为 4。[2,2]
:从根节点 1 到节点 2 的最短路径为 4。示例 2:
\n\n输入: n = 3, edges = [[1,2,2],[1,3,4]], queries = [[2,1],[2,3],[1,1,3,7],[2,2],[2,3]]
\n\n输出: [0,4,2,7]
\n\n解释:
\n\n[2,1]
:从根节点 1 到节点 1 的最短路径为 0。[2,3]
:从根节点 1 到节点 3 的最短路径为 4。[1,1,3,7]
:边 (1,3)
的权重从 4 改为 7。[2,2]
:从根节点 1 到节点 2 的最短路径为 2。[2,3]
:从根节点 1 到节点 3 的最短路径为 7。示例 3:
\n\n输入: n = 4, edges = [[1,2,2],[2,3,1],[3,4,5]], queries = [[2,4],[2,3],[1,2,3,3],[2,2],[2,3]]
\n\n输出: [8,3,2,5]
\n\n解释:
\n\n[2,4]
:从根节点 1 到节点 4 的最短路径包含边 (1,2)
、(2,3)
和 (3,4)
,权重和为 2 + 1 + 5 = 8
。[2,3]
:路径为 (1,2)
和 (2,3)
,权重和为 2 + 1 = 3
。[1,2,3,3]
:边 (2,3)
的权重从 1 变为 3。[2,2]
:最短路径为 2。[2,3]
:路径权重变为 2 + 3 = 5
。\n\n
提示:
\n\n1 <= n <= 105
edges.length == n - 1
edges[i] == [ui, vi, wi]
1 <= ui, vi <= n
1 <= wi <= 104
edges
构成一棵合法的树。1 <= queries.length == q <= 105
queries[i].length == 2
或 4
\n\tqueries[i] == [1, u, v, w']
,或者queries[i] == [2, x]
1 <= u, v, x <= n
(u, v)
一定是 edges
中的一条边。1 <= w' <= 104
u
, v
, w'
], adjust the distance for all descendants by applying a delta update to the corresponding range in the flattened array."
],
"solution": null,
"status": null,
"sampleTestCase": "2\n[[1,2,7]]\n[[2,2],[1,1,2,4],[2,2]]",
"metaData": "{\n \"name\": \"treeQueries\",\n \"params\": [\n {\n \"name\": \"n\",\n \"type\": \"integer\"\n },\n {\n \"type\": \"integer[][]\",\n \"name\": \"edges\"\n },\n {\n \"type\": \"integer[][]\",\n \"name\": \"queries\"\n }\n ],\n \"return\": {\n \"type\": \"integer[]\"\n }\n}",
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