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Lexicographically smallest string formed by replacing characters according to the given relation

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Given a string Str of N characters and two strings S1 and S2 of equal length where S1[i] and S2[i] are related to each other, the task is to find the lexicographically smallest string that can be obtained by replacing characters in Str with their related character.

Examples:

Input: S1 = “rat”, S2 = “cbb”, Str = “trrb”
Output: acca
Explanation: For the given S1 and S2, the characters that are related to each other are (r, c), (a, b), and (t, b). 
Hence, in the given string, r can be replaced by c; 
b can be replaced by a, and t can be replaced by a. 
Hence, Str = “bcca”. Here, b again can be replaced by a.
Therefore, the final value of Str = “acca”, which is the smallest possible.

Input: S1 = “abc”, S2 = “xyz”, Str = “pqr”
Output: pqr

 

Naive Approach: The given problem can be solved by creating an undirected graph where an edge connecting (x, y) represents a relation between characters x and y. Thereafter, for each character in the given string, traverse the graph using DFS and find the smallest character among the connected vertices of the current character and replace them.

Time Complexity: O(N * M), where M represents the size of S1 or S2.
Auxiliary space: O(M)

Efficient Approach: The above approach can be optimally solved using the Disjoint Set Data Structure. The idea is to group all the characters having a relation into a same group which can be efficiently done using DSU. Here, it can be noted that during the union operation in DSU, the parent of a node should be chosen as the smallest character in the group to achieve the smallest lexicographic order.

Below is the implementation of the above approach:

C++




#include <bits/stdc++.h>
using namespace std;
 
const int N = 26;
 
// Class to implements all functions
// of the Disjoint Set Data Structure
class DisjointSet {
  public:
  int size;
  int parent[N];
  char chars[N];
 
  DisjointSet()
  {
    size = 26;
    for (int i = 0; i < size; i++) {
      parent[i] = i;
    }
    for (int i = 0; i < 26; i++) {
      chars[i] = 'a' + i;
    }
  }
 
  int find_parent(int x)
  {
    if (parent[x] == x) {
      return x;
    }
    parent[x] = find_parent(parent[x]);
    return (parent[x]);
  }
 
  void union_fun(int u, int v)
  {
 
    // find parent
    int p1 = find_parent(u);
    int p2 = find_parent(v);
 
    // if not same
    if (p1 != p2) {
 
      // if p2 smaller than p1
      // then make parent p2
      if (p2 < p1) {
        parent[p1] = p2;
 
        // make parent p1
      }
      else {
        parent[p2] = p1;
      }
    }
  }
};
 
// Function to find the lexicographically
// smallest string formed by replacing
// characters according to given relation
string smallestLexStr(string S1, string S2, string Str)
{
 
  // Create an object of DSU
  DisjointSet ds;
  int M = S1.length();
 
  // Iterate through all given relations
  for (int i = 0; i < M; i++) {
 
    // find ascii value of each character
    // and subtract from ascii value 'a'
    // so that index value is between 0-25
    int idx1 = S1[i] - 'a';
    int idx2 = S2[i] - 'a';
 
    // take union of both indices
    ds.union_fun(idx1, idx2);
  }
 
  // Iterate through the string
  for (int i = 0; i < Str.length(); i++) {
 
    // Find the smallest character
    // replacement among all relations
    int idx = ds.find_parent(Str[i] - 'a');
    Str[i] = ds.chars[idx];
  }
 
  // Return the answer
  return Str;
}
 
// Driver code
int main()
{
  string S1 = "rat";
  string S2 = "cbb";
  string Str = "trrb";
  cout << smallestLexStr(S1, S2, Str) << endl;
  return 0;
}
 
// This code is contributed by lokeshpotta20.


Java




// Java program to implement above approach
import java.util.*;
 
public class GFG {
 
  // Function to find the lexicographically
  // smallest string formed by replacing
  // characters according to given relation
  static String smallestLexStr(String S1, String S2,
                               String Str)
  {
 
    // Create an object of DSU
    DisjointSet ds = new DisjointSet();
    int M = S1.length();
 
    // Iterate through all given relations
    for (int i = 0; i < M; i++) {
 
      // find ascii value of each character
      // and subtract from ascii value a
      // so that index value between 0-25
      int idx1 = (int)(S1.charAt(i)) - (int)('a');
      int idx2 = (int)(S2.charAt(i)) - (int)('a');
 
      // take union of both indices
      ds.union(idx1, idx2);
    }
 
    // Convert String into list of characters
    char[] arr = Str.toCharArray();
 
    // Iterate through the list of characters
    for (int i = 0; i < arr.length; i++) {
 
      // Find the smallest character
      // replacement among all relations
      int idx = ds.find_parent((int)(arr[i])
                               - (int)('a'));
      arr[i] = ds.chars[idx];
    }
 
    // Convert the list back to a string
    Str = "";
    for (char x : arr) {
      Str += x;
    }
 
    // Return Answer
    return Str;
  }
 
  // Driver code
  public static void main(String[] args)
  {
 
    String S1 = "rat";
    String S2 = "cbb";
    String Str = "trrb";
    System.out.println(smallestLexStr(S1, S2, Str));
  }
}
 
// Class to implements all functions
// of the Disjoint Set Data Structure
class DisjointSet {
 
  public int size;
  public int[] parent;
  public char[] chars;
 
  public DisjointSet()
  {
    size = 26;
    parent = new int[size];
    for (int i = 0; i < size; i++) {
      parent[i] = i;
    }
    chars = new char[size];
    for (int i = 0; i < 26; i++) {
      chars[i] = (char)(i + 97);
    }
  }
 
  public int find_parent(int x)
  {
    if (parent[x] == x) {
      return x;
    }
 
    parent[x] = find_parent(parent[x]);
    return (parent[x]);
  }
 
  public void union(int u, int v)
  {
 
    // find parent
    int p1 = find_parent(u);
    int p2 = find_parent(v);
 
    // if not same
    if (p1 != p2) {
 
      // if p2 smaller than p1
      // then make parent p2
      if (p2 < p1) {
        parent[p1] = p2;
 
        // make parent p1
      }
      else {
        parent[p2] = p1;
      }
    }
  }
}
 
// This code is contributed by karandeep1234


Python3




# Python code to implement the above approach
 
# Class to implements all functions
# of the Disjoint Set Data Structure
class DisjointSet:
 
    def __init__(self):
        self.size = 26
        self.parent = [i for i in range(self.size)]
        self.chars = [chr(i+97) for i in range(self.size)]
 
    def find_parent(self, x):
        if (self.parent[x] == x):
            return (x)
 
        self.parent[x] = self.find_parent(self.parent[x])
        return (self.parent[x])
 
    def union(self, u, v):
 
        # find parent
        p1 = self.find_parent(u)
        p2 = self.find_parent(v)
 
        # if not same
        if (p1 != p2):
 
            # if p2 smaller than p1
            # then make parent p2
            if (p2 < p1):
                self.parent[p1] = p2
 
            # make parent p1
            else:
                self.parent[p2] = p1
 
# Function to find the lexicographically
# smallest string formed by replacing
# characters according to given relation
def smallestLexStr(S1, S2, Str):
 
    # Create an object of DSU
    ds = DisjointSet()
    M = len(S1)
 
    # Iterate through all given relations
    for i in range(M):
 
            # find ascii value of each character
            # and subtract from ascii value a
            # so that index value between 0-25
        idx1 = ord(S1[i]) - ord('a')
        idx2 = ord(S2[i]) - ord('a')
 
        # take union of both indices
        ds.union(idx1, idx2)
 
    # Convert String into list of characters
    Str = list(Str)
 
    # Iterate through the list of characters
    for i in range(len(Str)):
 
        # Find the smallest character
        # replacement among all relations
        idx = ds.find_parent(ord(Str[i]) - ord('a'))
        Str[i] = ds.chars[idx]
 
    # Convert the list back to a string
    Str = "".join(Str)
 
    # Return Answer
    return Str
 
# Driver Code
if __name__ == "__main__":
    S1 = "rat"
    S2 = "cbb"
    Str = "trrb"
    print(smallestLexStr(S1, S2, Str))


C#




// C# program to implement above approach
using System;
using System.Collections;
using System.Collections.Generic;
 
class GFG
{
 
    // Function to find the lexicographically
    // smallest string formed by replacing
    // characters according to given relation
    static string smallestLexStr(string S1, string S2, string Str){
 
        // Create an object of DSU
        DisjointSet ds = new DisjointSet();
        int M = S1.Length;
 
        // Iterate through all given relations
        for (int i = 0 ; i < M ; i++){
 
                // find ascii value of each character
                // and subtract from ascii value a
                // so that index value between 0-25
            int idx1 = (int)(S1[i]) - (int)('a');
            int idx2 = (int)(S2[i]) - (int)('a');
 
            // take union of both indices
            ds.union(idx1, idx2);
        }
 
        // Convert String into list of characters
        List<char> arr = new List<char>(Str);
 
        // Iterate through the list of characters
        for (int i = 0 ; i < arr.Count ; i++){
 
            // Find the smallest character
            // replacement among all relations
            int idx = ds.find_parent((int)(arr[i]) - (int)('a'));
            arr[i] = ds.chars[idx];
        }
 
        // Convert the list back to a string
        Str = "";
        foreach (char x in arr){
            Str += x;
        }
 
        // Return Answer
        return Str;
    }
 
    // Driver code
    public static void Main(string[] args){
 
        string S1 = "rat";
        string S2 = "cbb";
        string Str = "trrb";
        Console.WriteLine(smallestLexStr(S1, S2, Str));
 
    }
}
 
// Class to implements all functions
// of the Disjoint Set Data Structure
public class DisjointSet{
 
    public int size;
    public int[] parent;
    public char[] chars;
 
    public DisjointSet(){
        size = 26;
        parent = new int[size];
        for(int i = 0 ; i < size ; i++){
            parent[i] = i;
        }
        chars = new char[size];
        for(int i = 0 ; i < 26 ; i++){
            chars[i] = (char)(i+97);
        }
    }
 
    public int find_parent(int x){
        if (parent[x] == x){
            return x;
        }
 
        parent[x] = find_parent(parent[x]);
        return (parent[x]);
    }
 
    public void union(int u, int v){
 
        // find parent
        int p1 = find_parent(u);
        int p2 = find_parent(v);
 
        // if not same
        if (p1 != p2){
 
            // if p2 smaller than p1
            // then make parent p2
            if (p2 < p1){
                parent[p1] = p2;
 
            // make parent p1
            }else{
                parent[p2] = p1;
            }
        }
    }
}
 
// This code is contributed by subhamgoyal2014.


Javascript




// Javascript program to implement above approach
 
// Class to implements all functions
// of the Disjoint Set Data Structure
class DisjointSet {
 
    constructor() {
        this.size = 26;
        this.parent = new Array(this.size);
        for (let i = 0; i < this.size; i++) {
            this.parent[i] = i;
        }
        this.chars = new Array(this.size);
        for (let i = 0; i < 26; i++) {
            this.chars[i] = String.fromCharCode(i + 97);
        }
    }
 
    find_parent(x) {
        if (this.parent[x] == x) {
            return x;
        }
 
        this.parent[x] = this.find_parent(this.parent[x]);
        return (this.parent[x]);
    }
 
    union(u, v) {
 
        // find parent
        let p1 = this.find_parent(u);
        let p2 = this.find_parent(v);
 
        // if not same
        if (p1 != p2) {
 
            // if p2 smaller than p1
            // then make parent p2
            if (p2 < p1) {
                this.parent[p1] = p2;
 
                // make parent p1
            }
            else {
                this.parent[p2] = p1;
            }
        }
    }
}
 
// Function to find the lexicographically
// smallest let formed by replacing
// characters according to given relation
function smallestLexStr(S1, S2, Str) {
 
    // Create an object of DSU
    let ds = new DisjointSet();
    let M = S1.length;
 
    // Iterate through all given relations
    for (let i = 0; i < M; i++) {
 
        // find ascii value of each character
        // and subtract from ascii value a
        // so that index value between 0-25
        let idx1 = (S1.charAt(i)).charCodeAt(0) - 'a'.charCodeAt(0);
        let idx2 = (S2.charAt(i)).charCodeAt(0) - 'a'.charCodeAt(0);
 
        // take union of both indices
        ds.union(idx1, idx2);
    }
 
    // Convert let into list of characters
    let arr = Str.split("");
 
    // Iterate through the list of characters
    for (let i = 0; i < arr.length; i++) {
 
        // Find the smallest character
        // replacement among all relations
        let idx = ds.find_parent(arr[i].charCodeAt(0)
            - 'a'.charCodeAt(0));
        arr[i] = ds.chars[idx];
    }
 
    // Convert the list back to a string
    Str = "";
    for (x of arr) {
        Str += x;
    }
 
    // Return Answer
    return Str;
}
 
// Driver code
let S1 = "rat";
let S2 = "cbb";
let Str = "trrb";
console.log(smallestLexStr(S1, S2, Str));
 
// This code is contributed by Saurabh Jaiswal


Output

acca

Time Complexity: O(N)
Auxiliary space: O(1)



Last Updated : 07 Feb, 2023
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