Given an array of positive integers nums
and a positive integer target
, return the minimal length of a
subarray whose sum is greater than or equal totarget
. If there is no such subarray, return 0
instead.
Example 1:
Input: target = 7, nums = [2,3,1,2,4,3]
Output: 2
Explanation: The subarray [4,3] has the minimal length under the problem constraint.
Example 2:
Input: target = 4, nums = [1,4,4]
Output: 1
Example 3:
Input: target = 11, nums = [1,1,1,1,1,1,1,1]
Output: 0
Constraints:
1 <= target <= 109
1 <= nums.length <= 105
1 <= nums[i] <= 104
I was stuck in the way of sliding. Initially, I was thinking about two pointer ways, but the ending condition didn’t set well.
class Solution:
def minSubArrayLen(self, target: int, nums: List[int]) -> int:
start = 0
total = 0
ans = maxsize
for i, num in enumerate(nums):
total += num
while total >= target:
ans = min(ans, i - start + 1)
total -= nums[start]
start += 1
if ans == maxsize:
return 0
else:
return ans
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