代码如下:
def lengthOfLongestSubstring(s: str) -> int:
n = len(s)
ans = 0
i, j = 0, 0
lookup = set()
while i < n and j < n:
if s[j] not in lookup:
lookup.add(s[j])
j += 1
ans = max(ans, j - i)
else:
lookup.remove(s[i])
i += 1
return ans代码如下:
def lengthOfLongestSubstring(s: str) -> int:
n = len(s)
ans = 0
lookup = {}
i = 0
for j in range(n):
if s[j] in lookup:
i = max(lookup[s[j]], i)
ans = max(ans, j - i + 1)
lookup[s[j]] = j + 1
return ans无论使用哪种算法,它们的时间复杂度都为O(n),其中 n 是字符串的长度。