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| 1 | +#!/usr/bin/python3 |
| 2 | +""" |
| 3 | +Given an array A of 0s and 1s, we may change up to K values from 0 to 1. |
| 4 | +
|
| 5 | +Return the length of the longest (contiguous) subarray that contains only 1s. |
| 6 | +
|
| 7 | +
|
| 8 | +
|
| 9 | +Example 1: |
| 10 | +
|
| 11 | +Input: A = [1,1,1,0,0,0,1,1,1,1,0], K = 2 |
| 12 | +Output: 6 |
| 13 | +Explanation: |
| 14 | +[1,1,1,0,0,1,1,1,1,1,1] |
| 15 | +Bolded numbers were flipped from 0 to 1. The longest subarray is underlined. |
| 16 | +Example 2: |
| 17 | +
|
| 18 | +Input: A = [0,0,1,1,0,0,1,1,1,0,1,1,0,0,0,1,1,1,1], K = 3 |
| 19 | +Output: 10 |
| 20 | +Explanation: |
| 21 | +[0,0,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1] |
| 22 | +Bolded numbers were flipped from 0 to 1. The longest subarray is underlined. |
| 23 | +
|
| 24 | +
|
| 25 | +Note: |
| 26 | +1 <= A.length <= 20000 |
| 27 | +0 <= K <= A.length |
| 28 | +A[i] is 0 or 1 |
| 29 | +""" |
| 30 | +from typing import List |
| 31 | + |
| 32 | + |
| 33 | +class Solution: |
| 34 | + def longestOnes(self, A: List[int], K: int) -> int: |
| 35 | + """ |
| 36 | + len(gap) |
| 37 | + But there is multiple gap need to fill, and which gaps to fill is |
| 38 | + undecided. Greedy? No. DP? |
| 39 | +
|
| 40 | + Sliding Window: Find the longest subarray with at most K zeros. |
| 41 | + """ |
| 42 | + i, j = 0, 0 |
| 43 | + cnt_0 = 0 |
| 44 | + n = len(A) |
| 45 | + ret = 0 |
| 46 | + while i < n and j < n: |
| 47 | + while j < n: |
| 48 | + if A[j] == 0 and cnt_0 < K: |
| 49 | + j += 1 |
| 50 | + cnt_0 += 1 |
| 51 | + elif A[j] == 1: |
| 52 | + j += 1 |
| 53 | + else: |
| 54 | + break |
| 55 | + |
| 56 | + ret = max(ret, j - i) |
| 57 | + if A[i] == 0: |
| 58 | + cnt_0 -= 1 |
| 59 | + i += 1 |
| 60 | + |
| 61 | + return ret |
| 62 | + |
| 63 | + |
| 64 | +if __name__ == "__main__": |
| 65 | + assert Solution().longestOnes([1,1,1,0,0,0,1,1,1,1,0], 2) == 6 |
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