Find Longest Awesome Substring - Practice Coding Problems

Find Longest Awesome Substring - Problem

You are given a string s. An awesome substring is a non-empty substring of s such that we can make any number of swaps in order to make it a palindrome.

Return the length of the maximum length awesome substring of s.

Note: A palindrome is a string that reads the same forward and backward. For example, "racecar" and "aabbaa" are palindromes, while "hello" is not.

Input & Output

Example 1 — Basic Case

$ Input: s = "3242415"

› Output: 5

💡 Note: The substring "24241" can be rearranged to form the palindrome "24142" since digits 2,4,1 each appear twice and 4 appears once, satisfying the palindrome condition.

Example 2 — Single Digit

$ Input: s = "12345"

› Output: 1

💡 Note: No substring longer than 1 can form a palindrome since all digits are different. Any single digit forms a palindrome, so the answer is 1.

Example 3 — All Same Digits

$ Input: s = "213213"

› Output: 6

💡 Note: The entire string can form a palindrome (e.g., "123321") since each digit 1,2,3 appears exactly twice, all even counts.

Constraints

1 ≤ s.length ≤ 10⁵
s consists only of digits.

Visualization

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Understanding the Visualization

Input String

Given string of digits like "3242415"

Check Palindrome Rule

Substring can form palindrome if ≤ 1 digit has odd count

Find Maximum Length

Return length of longest valid awesome substring

Key Takeaway

🎯 Key Insight: Use bit manipulation to efficiently track which digits have odd counts across all substrings

Asked in

G Google 25 f Facebook 20 a Amazon 15

The key insight is that a string can form a palindrome if at most one character has an odd frequency count. The optimal approach uses bit manipulation to track digit parity states efficiently. Time: O(n), Space: O(2^k) where k=10 digits.

Common Approaches

Approach	Time	Space	Notes
✓ Bit Manipulation with Prefix States	O(n)	O(2^k)	Use bitmask to track odd/even counts and find matching states
Brute Force - Check All Substrings	O(n³)	O(1)	Generate all substrings and check if each can form a palindrome

Bit Manipulation with Prefix States — Algorithm Steps

Use bitmask to track odd/even counts of digits
Store first occurrence of each state
For each position, check if current state or states differing by one bit were seen before
Update maximum length found

Visualization

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Step-by-Step Walkthrough

Initialize State

Start with state 0 (all digits even count)

Update Bitmask

Toggle bit for each digit encountered

Check Matches

Find previous states that allow palindromes

Code -

solution.c — C

#include <stdio.h>
#include <stdlib.h>
#include <string.h>

#define HASH_SIZE 10007

typedef struct HashNode {
    int state;
    int index;
    struct HashNode* next;
} HashNode;

HashNode* hashTable[HASH_SIZE];

int hash(int state) {
    return ((state % HASH_SIZE) + HASH_SIZE) % HASH_SIZE;
}

void put(int state, int index) {
    int h = hash(state);
    HashNode* node = hashTable[h];
    while (node) {
        if (node->state == state) return; // don't update existing
        node = node->next;
    }
    node = (HashNode*)malloc(sizeof(HashNode));
    node->state = state;
    node->index = index;
    node->next = hashTable[h];
    hashTable[h] = node;
}

int get(int state, int* found) {
    int h = hash(state);
    HashNode* node = hashTable[h];
    while (node) {
        if (node->state == state) {
            *found = 1;
            return node->index;
        }
        node = node->next;
    }
    *found = 0;
    return -1;
}

int solution(char* s) {
    int n = strlen(s);
    memset(hashTable, 0, sizeof(hashTable));
    put(0, -1); // empty prefix has state 0
    int state = 0;
    int maxLen = 0;
    
    for (int i = 0; i < n; i++) {
        int digit = s[i] - '0';
        // Toggle bit for this digit
        state ^= (1 << digit);
        
        // Check if this exact state was seen before
        int found;
        int prevIndex = get(state, &found);
        if (found) {
            int len = i - prevIndex;
            if (len > maxLen) maxLen = len;
        } else {
            put(state, i);
        }
        
        // Check states that differ by exactly one bit
        for (int j = 0; j < 10; j++) {
            int targetState = state ^ (1 << j);
            prevIndex = get(targetState, &found);
            if (found) {
                int len = i - prevIndex;
                if (len > maxLen) maxLen = len;
            }
        }
    }
    
    return maxLen;
}

int main() {
    char s[100001];
    fgets(s, sizeof(s), stdin);
    s[strcspn(s, "\n")] = 0;
    
    int result = solution(s);
    printf("%d\n", result);
    
    return 0;
}

Time & Space Complexity

Time Complexity

⏱️

O(n)

Single pass through string with O(1) bit operations

✓ Linear Growth

Space Complexity

O(2^k)

Hash map stores at most 2^10 = 1024 possible states for 10 digits

✓ Linear Space

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Medium Frequency

~25 min Avg. Time

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Smart Actions

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Input & Output

Constraints

Visualization

Related Problems

Common Approaches

Bit Manipulation with Prefix States — Algorithm Steps

Visualization

Code -

Time & Space Complexity

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