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Copy path0076. Minimum Window Substring.py
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0076. Minimum Window Substring.py
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# Given two strings s and t of lengths m and n respectively, return the minimum window substring of s such that every character in t (including duplicates) is included in the window. If there is no such substring, return the empty string "".
# The testcases will be generated such that the answer is unique.
# A substring is a contiguous sequence of characters within the string.
#
# Example 1:
#
# Input: s = "ADOBECODEBANC", t = "ABC"
# Output: "BANC"
# Explanation: The minimum window substring "BANC" includes 'A', 'B', and 'C' from string t.
#
# Example 2:
#
# Input: s = "a", t = "a"
# Output: "a"
# Explanation: The entire string s is the minimum window.
#
# Example 3:
#
# Input: s = "a", t = "aa"
# Output: ""
# Explanation: Both 'a's from t must be included in the window.
# Since the largest window of s only has one 'a', return empty string.
#
# Constraints:
#
# m == s.length
# n == t.length
# 1 <= m, n <= 10^5
# s and t consist of uppercase and lowercase English letters.
#
# Follow up: Could you find an algorithm that runs in O(m + n) time?
# Notion
# Sliding window
from collections import Counter
class Solution:
def minWindow(self, s: str, t: str) -> str:
need = Counter(t) # hash table to store char frequency
missing = len(t) # total number of chars we care
start, end = 0, 0
l = 0
# Move the right pointer until the window contains all the chars from string t
for r, c in enumerate(s, 1):
if need[c] > 0:
missing -= 1
need[c] -= 1
# Now the window has all chars
if missing == 0:
# Remove chars to find the real start
while l < r and need[s[l]] < 0:
need[s[l]] += 1
l += 1
# Update window
if end == 0 or r - l < end - start:
start, end = l, r
# Move left pointer again which makes the window no more desirable to find next window
need[s[l]] += 1
missing += 1
l += 1
return s[start:end]