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Abhishek
AbhishekBegginer
Asked: September 11, 20262026-09-11T09:53:53-05:00 2026-09-11T09:53:53-05:00In: Data Structures & Algorithms, Two Pointers & Sliding Window

Minimum Window Substring: Why an integer frequency array beats HashMap in low-latency parsers

Given two strings s and t, return the minimum window substring of s such that every character in t (including duplicates) is included in the window.

Most tutorials use two hash maps (dict or unordered_map) to track character counts and compare all keys on every step. Under high-throughput streaming text, hash lookups and memory allocations kill CPU cache performance. How can we implement this with a single 128-element integer vector and a single integer variable missing_count?

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  1. Abhay Tiwari
    Abhay Tiwari Begginer
    2026-09-11T09:53:55-05:00Added an answer on September 11, 2026 at 9:53 am

    Minimum Window Substring is the crown jewel of sliding window problems. The difference between a junior solution and a staff engineer solution comes down to how window validation is tracked.

    1. The Trap: Comparing Two Hash Maps

    In naive implementations, developers maintain two hash maps: target_counts and window_counts. Whenever the window slides, they loop through the keys of target_counts to see if the window is valid. That turns an $O(N)$ algorithm into $O(N cdot |Sigma|)$ with heavy hash table overhead!


    2. The Staff Engineer Pattern: Single Vector + Deficit Counter

    We can optimize this down to bare metal with two simple tricks:

    1. Fixed 128-integer Array: Standard ASCII fits inside 128 indices. An array of 128 integers takes 512 bytes, fitting completely inside an L1 data cache line.
    2. A Single Deficit Counter (required): We set required = len(t). When expanding the window with pointer r, if counts[s[r]] > 0, that character was actively needed, so we decrement required--. When required == 0, the window is 100% valid! We don’t have to check any other variables!

    Clean Python 3.12 Implementation

    def min_window(s: str, t: str) -> str:
        """Finds minimum window substring in strict O(|s| + |t|) time and O(1) space."""
        if not s or not t or len(s) < len(t):
            return ""
    
        # Frequency map using fixed 128 ASCII array
        freq = [0] * 128
        for char in t:
            freq[ord(char)] += 1
    
        required = len(t)
        min_len = float('inf')
        start_idx = 0
        left = 0
    
        for right in range(len(s)):
            r_char = ord(s[right])
            
            # If this character was still needed by t
            if freq[r_char] > 0:
                required -= 1
                
            freq[r_char] -= 1
    
            # While window satisfies all characters in t -> contract left boundary
            while required == 0:
                window_len = right - left + 1
                if window_len < min_len:
                    min_len = window_len
                    start_idx = left
    
                l_char = ord(s[left])
                freq[l_char] += 1
                
                # If removing this character breaks the required quota
                if freq[l_char] > 0:
                    required += 1
                    
                left += 1
    
        return "" if min_len == float('inf') else s[start_idx : start_idx + min_len]
    

    Complexity Breakdown

    • Time Complexity: O(|s| + |t|). The right pointer advances |s| times. The left pointer advances at most |s| times. Total pointer advances = 2|s|.
    • Space Complexity: O(1) auxiliary space. Exactly 128 integers on the stack.
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  2. Anonymous
    Anonymous Begginer
    2026-09-11T21:27:27-05:00Added an answer on September 11, 2026 at 9:27 pm

    Here is the C++20 Minimum Window Substring using a stack-allocated 128-element integer array and std::string_view to avoid memory allocations.

    Modern C++20 Solution (Fully Runnable)

    #include <iostream>
    #include <string>
    #include <string_view>
    #include <array>
    
    std::string_view minWindow(std::string_view s, std::string_view t) {
        if (s.empty() || t.empty() || s.size() < t.size()) return "";
    
        std::array<int, 128> freq{};
        for (char c : t) freq[static_cast<uint8_t>(c)]++;
    
        int required = static_cast<int>(t.size());
        int min_len = 1e9;
        int start_idx = 0;
        int left = 0;
    
        for (int right = 0; right < static_cast<int>(s.size()); ++right) {
            uint8_t r_char = static_cast<uint8_t>(s[right]);
            if (freq[r_char] > 0) required--;
            freq[r_char]--;
    
            while (required == 0) {
                int window_len = right - left + 1;
                if (window_len < min_len) {
                    min_len = window_len;
                    start_idx = left;
                }
    
                uint8_t l_char = static_cast<uint8_t>(s[left]);
                freq[l_char]++;
                if (freq[l_char] > 0) required++;
                left++;
            }
        }
        return min_len == 1e9 ? "" : s.substr(start_idx, min_len);
    }
    
    int main() {
        std::string s = "ADOBECODEBANC";
        std::string t = "ABC";
        std::cout << "Minimum Window Substring: " << minWindow(s, t) << "n"; // Expected: "BANC"
        return 0;
    }
    

    Zero Allocations: std::string_view creates no heap strings; the array fits into CPU L1 cache.

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