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ok_find_all_anagrams_in_a_string.py
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"""
438. Find All Anagrams in a String
Medium
Given a string s and a non-empty string p, find all the start indices of p's anagrams in s.
Strings consists of lowercase English letters only and the length of both strings s and p will not be larger than 20,100
The order of output does not matter.
Example 1:
Input:
s: "cbaebabacd" p: "abc"
Output:
[0, 6]
Explanation:
The substring with start index = 0 is "cba", which is an anagram of "abc".
The substring with start index = 6 is "bac", which is an anagram of "abc".
Example 2:
Input:
s: "abab" p: "ab"
Output:
[0, 1, 2]
Explanation:
The substring with start index = 0 is "ab", which is an anagram of "ab".
The substring with start index = 1 is "ba", which is an anagram of "ab".
The substring with start index = 2 is "ab", which is an anagram of "ab".
Runtime: 96 ms, faster than 93.15% of Python3 online submissions for Find All Anagrams in a String.
Memory Usage: 13.6 MB, less than 100.00% of Python3 online submissions for Find All Anagrams in a String.
"""
from collections import defaultdict
from typing import List
class Solution:
def findAnagrams(self, s: str, p: str) -> List[int]:
"""
Naive approach:
1. Iterate over m - len(p) characters in s and count unique characters
1.2. If unique characters == unique characters in p, then save index
Note: T~O(N+M)
"""
p_unique_chs_count = defaultdict(int)
for ch in p:
p_unique_chs_count[ch] += 1
m, n = len(p), len(s)
indexs = []
if n - m < 0:
return indexs
subset = s[:m]
subset_unique_chs_count = defaultdict(int)
for ch in subset:
subset_unique_chs_count[ch] += 1
if subset_unique_chs_count == p_unique_chs_count:
indexs.append(0)
for i in range(m, n):
subset_unique_chs_count[s[i - m]] -= 1
subset_unique_chs_count[s[i]] += 1
if subset_unique_chs_count[s[i - m]] == 0:
del subset_unique_chs_count[s[i - m]]
if subset_unique_chs_count == p_unique_chs_count:
indexs.append(i - m + 1)
return indexs