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Copy path1004 Max Consecutive Ones III.py
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1004 Max Consecutive Ones III.py
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#!/usr/bin/python3
"""
Given an array A of 0s and 1s, we may change up to K values from 0 to 1.
Return the length of the longest (contiguous) subarray that contains only 1s.
Example 1:
Input: A = [1,1,1,0,0,0,1,1,1,1,0], K = 2
Output: 6
Explanation:
[1,1,1,0,0,1,1,1,1,1,1]
Bolded numbers were flipped from 0 to 1. The longest subarray is underlined.
Example 2:
Input: A = [0,0,1,1,0,0,1,1,1,0,1,1,0,0,0,1,1,1,1], K = 3
Output: 10
Explanation:
[0,0,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1]
Bolded numbers were flipped from 0 to 1. The longest subarray is underlined.
Note:
1 <= A.length <= 20000
0 <= K <= A.length
A[i] is 0 or 1
"""
from typing import List
class Solution:
def longestOnes(self, A: List[int], K: int) -> int:
"""
len(gap)
But there is multiple gap need to fill, and which gaps to fill is
undecided. Greedy? No. DP?
Sliding Window: Find the longest subarray with at most K zeros.
"""
i, j = 0, 0
cnt_0 = 0
n = len(A)
ret = 0
while i < n and j < n:
while j < n:
if A[j] == 0 and cnt_0 < K:
j += 1
cnt_0 += 1
elif A[j] == 1:
j += 1
else:
break
ret = max(ret, j - i)
if A[i] == 0:
cnt_0 -= 1
i += 1
return ret
if __name__ == "__main__":
assert Solution().longestOnes([1,1,1,0,0,0,1,1,1,1,0], 2) == 6