Count of each lowercase character after performing described operations for each prefix of length 1 to N

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Given a string S containing N lowercase English alphabets and a dictionary Dict that maps all lowercase English alphabets from ‘a’ to ‘z’ to either 1 or -1. For a string of length K, the following operation can be applied:

Find the maximum character from index 1 to K, and find the dictionary mapping of the respective maximum character.
If dictionary mapping is 1, increment all characters from 1 to K, i.e. ‘a’ becomes ‘b’, ‘b’ becomes ‘c’, . . . , ‘z’ becomes ‘a’.
If dictionary mapping is -1, decrement all characters from 1 to K. i.e. ‘a’ becomes ‘z’, ‘b’ becomes ‘a’, . . . , ‘z’ becomes ‘y’

Perform the described operation for each prefix of the string of length 1 to N.

The task is to determine the count of each lowercase English alphabet after performing the described operation for each prefix of the string of length 1 to N.

Examples:

Input: S=”ab”, Dict[] = [1,-1, 1, 1, 1, 1, 1, 1, 1, 1, 1,-1, 1,-1, 1, 1, 1, 1,-1,-1,-1,1,1,-1,1-1]Output: 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Explanation:
For Prefix of length 1: Max character = ‘a’, Mapping = 1. So, increment prefix string. S=”bb”.
For Prefix of length 2: Max character = ‘b’, Mapping = -1. So, decrement prefix string. S = “aa”.

Input: S=”abcb”, Dict[] = [1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 1,-1,-1,-1,1,1,-1,1-1]Output: 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Explanation:
For Prefix of length 1: Max character = ‘a’, Mapping = 1. So, increment prefix string. S=”bbcb”.
For Prefix of length 2: Max character = ‘b’, Mapping = -1. So, decrement prefix string. S = “aacb”.
For Prefix of length 3: Max character = ‘c’, Mapping = 1. So, increment prefix string. S=”bbdb”.
For Prefix of length 4: Max character = ‘d’, Mapping = 1. So, increment prefix string. S = “ccec”.

Approach: The solution is based on greedy approach. Follow the below steps to solve this problem:

Run a loop from i = 0 to i < N and in that loop run another loop from j = i to j >= 0 (to traverse the prefix).
Now find the maximum element in that prefix and the number that it has been mapped to in Dict, say mp.
Then apply the increment or decrement operation according to the number mp.
Now, create a vector ans, to store the frequency of each element.
Traverse the whole string and fill vector ans.
Print the elements of vector ans.

Below is the implementation of the above approach:

C++

// C++ program for the above approach
#include <bits/stdc++.h>
using namespace std;
 
// Function to find the frequency of
// all character after performing N operations
void processString(string& S, vector<int>& Dict)
{
    int N = S.length();
    char mx;
 
    // Vector to store the frequency 
    // of all characters
    vector<int> ans(26, 0);
    for (int i = 0; i < N; i++) {
        mx = 96;
        for (int j = 0; j <= i; j++) {
            mx = max(mx, S[j]);
        }
 
        for (int j = 0; j <= i; j++) {
            // If S[j] is 'a' and 
            // Dict[S[j]] is -1 then 
            // make S[j] equals to 'z'
            if (S[j] + Dict[mx - 'a'] < 97) {
                S[j] = S[j] + 
                    Dict[mx - 'a'] + 26;
            }
 
            // If S[j] is 'z' and 
            // Dict[S[j]] is 1
            // then make S[j] equals to 'a'
            else if (S[j] + Dict[mx - 'a'] 
                     > 122) {
                S[j] = S[j] + 
                    Dict[mx - 'a'] - 26;
            }
 
            else {
                S[j] += Dict[mx - 'a'];
            }
        }
    }
    for (int i = 0; i < N; i++) {
        ans[S[i] - 'a']++;
    }
 
    for (auto x : ans) {
        cout << x << ' ';
    }
}
 
// Driver code
int main()
{
 
    string S = "ab";
    vector<int> Dict
        = { 1,  -1, 1, 1, 1, -1, 1,  1,  
           1, -1, 1,  -1,   1, -1, 1,  1, 1, 
           1, -1, -1, -1, 1, 1,  -1, 1 - 1 };
    processString(S, Dict);
     
    return 0;
}

Java

// Java program for the above approach
import java.util.*;
class GFG
{
 
  // Function to find the frequency of
  // all character after performing N operations
  static void processString(char[] S, int[] Dict)
  {
    int N = S.length;
    char mx;
 
    // Vector to store the frequency 
    // of all characters
    int[] ans = new int[26];
    for (int i = 0; i < N; i++) {
      mx = 96;
      for (int j = 0; j <= i; j++) {
        mx = (char) Math.max(mx, S[j]);
      }
 
      for (int j = 0; j <= i; j++) 
      {
 
        // If S[j] is 'a' and 
        // Dict[S[j]] is -1 then 
        // make S[j] equals to 'z'
        if (S[j] + Dict[mx - 'a'] < 97) {
          S[j] = (char) (S[j] + 
                         Dict[mx - 'a'] + 26);
        }
 
        // If S[j] is 'z' and 
        // Dict[S[j]] is 1
        // then make S[j] equals to 'a'
        else if (S[j] + Dict[mx - 'a'] 
                 > 122) {
          S[j] = (char) (S[j] + 
                         Dict[mx - 'a'] - 26);
        }
 
        else {
          S[j] += Dict[mx - 'a'];
        }
      }
    }
    for (int i = 0; i < N; i++) {
      ans[S[i] - 'a']++;
    }
 
    for (int x : ans) {
      System.out.print(x +" ");
    }
  }
 
  // Driver code
  public static void main(String[] args)
  {
 
    char []S = "ab".toCharArray();
    int[] Dict
      = { 1,  -1, 1, 1, 1, -1, 1,  1,  
         1, -1, 1,  -1,   1, -1, 1,  1, 1, 
         1, -1, -1, -1, 1, 1,  -1, 1 - 1 };
    processString(S, Dict);
  }
}
 
// This code is contributed by 29AjayKumar

Python3

# Python program for the above approach
 
# Function to find the frequency of
# all character after performing N operations
def processString(S, Dict):
    N = len(S);
    mx = '';
 
    # Vector to store the frequency
    # of all characters
    ans = [0 for i in range(26)];
    for i in range(N):
        mx = chr(96);
        for j in range(i+1):
            mx = chr(max(ord(mx), ord(S[j])));
 
        for j in range(i + 1):
 
            # If S[j] is ord('a') and
            # Dict[S[j]] is -1 then
            # make S[j] equals to 'z'
            if (ord(S[j]) + Dict[ord(mx) - ord('a')] < 97):
                S[j] = ord(S[j] + Dict[ord(mx) - ord('a')] + 26);
 
            # If S[j] is 'z' and
            # Dict[S[j]] is 1
            # then make S[j] equals to ord('a')
            elif (ord(S[j]) + Dict[ord(mx) - ord('a')] > 122):
                S[j] = ord(ord(S[j]) + Dict[ord(mx) - ord('a')] - 26);
 
 
            else:
                tempc = chr(ord(S[j]) + Dict[ord(mx) - ord('a')]);
                S= S[0:j]+tempc+S[j:]
                #S[j] = tempc;
 
    for i in range(N):
        ans[ord(S[i]) - ord('a')] += 1;
 
    for x in ans:
        print(x, end=" ");
 
# Driver code
if __name__ == '__main__':
    S = "ab";
    Dict = [1, -1, 1, 1, 1, -1, 1, 1, 1,
            -1, 1, -1, 1, -1, 1, 1, 1,
            1, -1, -1, -1, 1, 1, -1, 1 - 1];
    processString(S, Dict);
     
    # This code is contributed by 29AjayKumar

C#

// C# program for the above approach
using System;
 
public class GFG
{
 
  // Function to find the frequency of
  // all character after performing N operations
  static void processString(char[] S, int[] Dict)
  {
    int N = S.Length;
    char mx;
 
    // List to store the frequency 
    // of all characters
    int[] ans = new int[26];
    for (int i = 0; i < N; i++) {
      mx = (char)96;
      for (int j = 0; j <= i; j++) {
        mx = (char) Math.Max(mx, S[j]);
      }
 
      for (int j = 0; j <= i; j++) 
      {
 
        // If S[j] is 'a' and 
        // Dict[S[j]] is -1 then 
        // make S[j] equals to 'z'
        if (S[j] + Dict[mx - 'a'] < 97) {
          S[j] = (char) (S[j] + 
                         Dict[mx - 'a'] + 26);
        }
 
        // If S[j] is 'z' and 
        // Dict[S[j]] is 1
        // then make S[j] equals to 'a'
        else if (S[j] + Dict[mx - 'a'] 
                 > 122) {
          S[j] = (char) (S[j] + 
                         Dict[mx - 'a'] - 26);
        }
 
        else {
          S[j] += (char)Dict[mx - 'a'];
        }
      }
    }
    for (int i = 0; i < N; i++) {
      ans[S[i] - 'a']++;
    }
 
    foreach (int x in ans) {
      Console.Write(x +" ");
    }
  }
 
  // Driver code
  public static void Main(String[] args)
  {
 
    char []S = "ab".ToCharArray();
    int[] Dict
      = { 1,  -1, 1, 1, 1, -1, 1,  1,  
         1, -1, 1,  -1,   1, -1, 1,  1, 1, 
         1, -1, -1, -1, 1, 1,  -1, 1 - 1 };
    processString(S, Dict);
  }
}
 
// This code is contributed by 29AjayKumar

Javascript

<script>
// javascript program for the above approach
 
let m = {
    'a': 0,
    'b': 1
}
 
// Function to find the frequency of
// all character after performing N operations
function processString(S, Dict)
{
    let N = S.length;
    let mx = '';
 
    // Vector to store the frequency 
    // of all characters
    let ans = new Array(26).fill(0);
    for (let i = 0; i < N; i++) {
        mx = 96;
        for (let j = 0; j <= i; j++) {
            mx = Math.max(mx, S[j].charCodeAt(0));
        }
 
        for (let j = 0; j <= i; j++) {
            // If S[j] is 'a' and 
            // Dict[S[j]] is -1 then 
            // make S[j] equals to 'z'
            if (S[j].charCodeAt(0) + Dict[m[mx]] < 97) {
                S[j] = String.fromCharCode(S[j].charCodeAt(0) + Dict[m[mx]] + 26);
            }
 
            // If S[j] is 'z' and 
            // Dict[S[j]] is 1
            // then make S[j] equals to 'a'
            else if (S[j].charCodeAt(0) + Dict[m[mx]] > 122) {
                S[j] = String.fromCharCode(S[j].charCodeAt(0) + Dict[m[mx]] - 26);
            }
 
            else {
                S[j] = String.fromCharCode(S[j].charCodeAt(0) + Dict[m[mx]]);
            }
        }
 
    }
     
    for (let i = 0; i < N; i++) {
        ans[S[i].charCodeAt(0)]++;
    }
     
    ans.forEach(function(ele){
        document.write(ele + " ");
    })
 
}
 
// Driver code
let S = ['a', 'b'];
let Dict = [1, -1, 1, 1, 1, -1, 1, 1, 1,
            -1, 1, -1, 1, -1, 1, 1, 1,
            1, -1, -1, -1, 1, 1, -1, 1 - 1];
processString(S, Dict);
 
// The code is contributed by Gautam goel. 
</script>

Output

2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Time Complexity: O(N²)
Auxiliary Space: O(1)

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