更新时间:2021-10-03 06:33:40
我猜这个问题类似于 LeetCode 567.这些是简单、高效、低复杂性的公认解决方案:
I guess the question is similar to LeetCode 567. These are simple, efficient, low-complexity accepted solutions:
C#
class Solution {
public bool CheckInclusion(string s1, string s2) {
int lengthS1 = s1.Length;
int lengthS2 = s2.Length;
if (lengthS1 > lengthS2)
return false;
int[] countmap = new int[26];
for (int i = 0; i < lengthS1; i++)
countmap[s1[i] - 97]++;
int[] bCount = new int[26];
for (int i = 0; i < lengthS2; i++) {
bCount[s2[i] - 97]++;
if (i >= (lengthS1 - 1)) {
if (allZero(countmap, bCount))
return true;
bCount[s2[i - (lengthS1 - 1)] - 97]--;
}
}
return false;
}
private bool allZero(int[] s1, int[] s2) {
for (int i = 0; i < 26; i++) {
if (s1[i] != s2[i])
return false;
}
return true;
}
}
class Solution {
public boolean checkInclusion(String s1, String s2) {
int lengthS1 = s1.length();
int lengthS2 = s2.length();
if (lengthS1 > lengthS2)
return false;
int[] countmap = new int[26];
for (int i = 0; i < lengthS1; i++) {
countmap[s1.charAt(i) - 97]++;
countmap[s2.charAt(i) - 97]--;
}
if (allZero(countmap))
return true;
for (int i = lengthS1; i < lengthS2; i++) {
countmap[s2.charAt(i) - 97]--;
countmap[s2.charAt(i - lengthS1) - 97]++;
if (allZero(countmap))
return true;
}
return false;
}
private boolean allZero(int[] count) {
for (int i = 0; i < 26; i++)
if (count[i] != 0)
return false;
return true;
}
}
class Solution:
def checkInclusion(self, s1, s2):
count_map_s1 = collections.Counter(s1)
count_map_s2 = collections.Counter(s2[:len(s1)])
for i in range(len(s1), len(s2)):
if count_map_s1 == count_map_s2:
return True
count_map_s2[s2[i]] += 1
count_map_s2[s2[i - len(s1)]] -= 1
if count_map_s2[s2[i - len(s1)]] == 0:
del(count_map_s2[s2[i - len(s1)]])
return count_map_s2 == count_map_a
代码在以下链接中解释:
The codes are explained in the following links:
这两个答案也很有用: