Given an integer array arr and an integer k, modify the array by repeating it k times.
For example, if arr = [1, 2] and k = 3 then the modified array will be [1, 2, 1, 2, 1, 2].
Return the maximum sub-array sum in the modified array. Note that the length of the sub-array can be 0 and its sum in that case is 0.
As the answer can be very large, return the answer modulo 10^9 + 7.
Example 1:
Input: arr = [1,2], k = 3 Output: 9
Example 2:
Input: arr = [1,-2,1], k = 5 Output: 2
Example 3:
Input: arr = [-1,-2], k = 7 Output: 0
Constraints:
1 <= arr.length <= 10^51 <= k <= 10^5-10^4 <= arr[i] <= 10^4
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反应有些慢,如果3个拼接比2个拼接的结果大,说明中间一定用满了。。。
class Solution:
def max_subarry(self,arr):
res,pre = 0,0
for num in arr:
pre = pre+num if pre>0 else num
res = max(pre,res)
return res
def kConcatenationMaxSum(self, arr: List[int], k: int) -> int:
m1 = self.max_subarry(arr)
mod = 10**9+7
if (k == 1):
return m1%mod
m2 = self.max_subarry(arr*2)
if (m1 == m2):
return m1%mod
total = sum(arr)
if (total > 0):
return (m2+total*(k-2))%mod
else:
return m2%mod

本文探讨了在一个整数数组被重复k次后的最大子数组和的求解方法,考虑到子数组长度可以为0的情况,返回结果需进行模运算。通过三个实例演示了算法的具体应用,并在约束条件下提供了Python实现代码。
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