Let's call any (contiguous) subarray B (of A) a_mountain_if the following properties hold:
B.length >= 3
There exists some 0 < i < B.length - 1 such that B[0] < B[1] < ... B[i-1] < B[i] > B[i+1] > ... > B[B.length - 1]
(Note that B could be any subarray of A, including the entire array A.)
Given an arrayA of integers, return the length of the longest mountain.
Return0if there is no mountain.
Example 1:
Input:
[2,1,4,7,3,2,5]
Output:
5
Explanation:
The largest mountain is [1,4,7,3,2] which has length 5.
Example 2:
Input:
[2,2,2]
Output:
0
Explanation:
There is no mountain.
Note:
0 <= A.length <= 10000
0 <= A[i] <= 10000
Follow up:
Can you solve it using only one pass?
Can you solve it inO(1)space?
分析
可以forward backward遍历,2个数组up and down,最后遍历一遍相加。反向遍历也是按照递增来做
class Solution:
def longestMountain(self, A: List[int]) -> int:
maxl = 0
ll = len(A)
up = [0]*ll
down = [0]*ll
for i in range(1,ll):
if A[i] > A[i-1]: up[i] = up[i-1] + 1
for i in reversed(range(ll-1)):
if A[i] > A[i+1]: down[i] = down[i+1] + 1
return max([u+d+1 for u,d in zip(up,down) if u and d] or [0])
或者直接up,down2个变量,一次遍历,遇到不合条件:1 down>0 and 开始增加 2 ==
起始点为0,高/低一个就加1
class Solution:
def longestMountain(self, A: List[int]) -> int:
maxl = up=down=0
ll = len(A)
for i in range(1,ll):
if (down and A[i] >= A[i-1]) or (up and A[i] == A[i-1]):
up = down = 0
up += A[i] > A[i-1] #巧妙用法
down += A[i] < A[i-1]
if up and down:maxl = max(maxl, up + down +1) #注意一定要同时>0才行
return maxl