You are given a nested list of integers nestedList
. Each element is either an integer or a list whose elements may also be integers or other lists.
The depth of an integer is the number of lists that it is inside of. For example, the nested list [1,[2,2],[[3],2],1]
has each integer's value set to its depth.
Return the sum of each integer in nestedList
multiplied by its depth.
Example 1:
Input: nestedList = [[1,1],2,[1,1]] Output: 10 Explanation: Four 1's at depth 2, one 2 at depth 1. 1*2 + 1*2 + 2*1 + 1*2 + 1*2 = 10.
Example 2:
Input: nestedList = [1,[4,[6]]] Output: 27 Explanation: One 1 at depth 1, one 4 at depth 2, and one 6 at depth 3. 1*1 + 4*2 + 6*3 = 27.
Example 3:
Input: nestedList = [0] Output: 0
Constraints:
1 <= nestedList.length <= 50
- The values of the integers in the nested list is in the range
[-100, 100]
. - The maximum depth of any integer is less than or equal to
50
.
嵌套列表的权重和。
题意跟690题很类似,但是这个题不是在操作图的边,而是给你了一个嵌套列表,请你输出他们的权重和。
思路还是两种,BFS和DFS。建议可以先做一下690题,这道题也就可以迎刃而解了。
BFS
时间O(n) - list的长度
空间O(n) - queue
Java实现
1 class Solution { 2 public int depthSum(List<NestedInteger> nestedList) { 3 // corner case 4 if (nestedList == null) { 5 return 0; 6 } 7 8 // normal case 9 int depth = 1; 10 int res = 0; 11 Queue<NestedInteger> queue = new LinkedList<>(); 12 queue.addAll(nestedList); 13 while (!queue.isEmpty()) { 14 int size = queue.size(); 15 for (int i = 0; i < size; i++) { 16 NestedInteger cur = queue.poll(); 17 if (cur.isInteger()) { 18 res += cur.getInteger() * depth; 19 } else { 20 queue.addAll(cur.getList()); 21 } 22 } 23 depth++; 24 } 25 return res; 26 } 27 }
DFS
时间O(n) - list的长度
空间O(n)
Java实现
1 class Solution { 2 public int depthSum(List<NestedInteger> nestedList) { 3 // corner case 4 if (nestedList == null) { 5 return 0; 6 } 7 // 既然list不为空,那么深度起码为1 8 return helper(nestedList, 1); 9 } 10 11 private int helper(List<NestedInteger> list, int depth) { 12 int res = 0; 13 for (NestedInteger each : list) { 14 if (each.isInteger()) { 15 res += each.getInteger() * depth; 16 } else { 17 res += helper(each.getList(), depth + 1); 18 } 19 } 20 return res; 21 } 22 }
相关题目