Given a 0-indexed integer array nums, find the leftmost middleIndex (i.e., the smallest amongst all the possible ones).
A middleIndex is an index where nums[0] + nums[1] + ... + nums[middleIndex-1] == nums[middleIndex+1] + nums[middleIndex+2] + ... + nums[nums.length-1].
If middleIndex == 0, the left side sum is considered to be 0. Similarly, if middleIndex == nums.length - 1, the right side sum is considered to be 0.
Return the leftmost middleIndex that satisfies the condition, or -1 if there is no such index.
Example 1:
Input: nums = [2,3,-1,8,4]
Output: 3
Explanation: The sum of the numbers before index 3 is: 2 + 3 + -1 = 4
The sum of the numbers after index 3 is: 4 = 4
Example 2:
Input: nums = [1,-1,4]
Output: 2
Explanation: The sum of the numbers before index 2 is: 1 + -1 = 0
The sum of the numbers after index 2 is: 0
Example 3:
Input: nums = [2,5]
Output: -1
Explanation: There is no valid middleIndex.
Constraints:
- 1 <= nums.length <= 100
- -1000 <= nums[i] <= 1000
내 풀이
class Solution:
def findMiddleIndex(self, nums: List[int]) -> int:
r_idx = len(nums) - 1
l_idx = 0
if len(set(nums)) == 1:
return 0
if len(nums) == 2:
return -1
for idx, num in enumerate(nums):
if idx == 0:
right = nums[r_idx]
left = nums[l_idx]
else:
if right > left:
l_idx += 1
left += nums[l_idx]
if left > right:
r_idx -= 1
right += nums[r_idx]
if right == left:
return l_idx
else:
return -1
두개의 포인터를 갖고 해결하는걸 생각했는데 테스트 케이스 몇개만 맞추고 결국엔 실패했다.
다른 풀이
def findMiddleIndex(self, nums: List[int]) -> int:
leftSum = 0
rightSum = sum(nums)
for i in range(len(nums)):
if leftSum == rightSum - nums[i]:
return i
leftSum += nums[i]
rightSum -= nums[i]
return -1
숫자배열의 합을 전부더해서 순서대로 차감하는 방식이다. 좀만더 사고력이 있었다면 좀만더 생각했더라면...ㅠㅠ 너무 아쉬워
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