Given two strings s1 and s2 of same length, the task is to count the minimum number of pairs of characters (c1, c2) such that by transforming c1 to c2 or c2 to c1 any number of times in any string make both the strings same.
Examples:
Input: s1 = “abb”, s2 = “dad”
Output: 2
Transform ‘a’ -> ‘d’, ‘b’ -> ‘a’ and ‘b’ -> ‘a’ -> ‘d’ in s1.
We can not take (a, d), (b, a), (b, d) as pairs because
(b, d) can be achieved by following transformation ‘b’ -> ‘a’ -> ‘d’Input: s1 = “drpepper”, s2 = “cocacola”
Output: 7
Approach: This Problem can be solved by using Graphs or Disjoint Sets. Build an empty graph G and iterate through the strings. Add an edge in graph G only if one of the following conditions is met:
- Both s1[i] and s2[i] are not in G.
- s1[i] is in G but s2[i] is not in G.
- s2[i] is in G but s1[i] is not in G.
- There is no path from s1[i] to s2[i].
The minimum number of pairs will be the count of edges in the final graph G.
Below is the implementation of the above approach:
C++
// C++ implementation of the approach#include <bits/stdc++.h>using namespace std; // Function which will check if there is// a path between a and b by using BFSbool checkPath(char a, char b, map<char, vector<char>> &G){ map<char, bool> visited; deque<char> queue; queue.push_back(a); visited[a] = true; while (!queue.empty()) { int n = queue.front(); queue.pop_front(); if (n == b) return true; for (auto i : G[n]) { if (visited[i] == false) { queue.push_back(i); visited[i] = true; } } } return false;} // Function to return the // minimum number of pairsint countPairs(string s1, string s2, map<char, vector<char>> &G, int x) { // To store the count of pairs int count = 0; // Iterating through the strings for (int i = 0; i < x; i++) { char a = s1[i]; char b = s2[i]; // Check if we can add an edge in the graph if (G.find(a) != G.end() and G.find(b) == G.end() and a != b) { G[a].push_back(b); G[b].push_back(a); count++; } else if (G.find(b) != G.end() and G.find(a) == G.end() and a != b) { G[b].push_back(a); G[a].push_back(b); count++; } else if (G.find(a) == G.end() and G.find(b) == G.end() and a != b) { G[a].push_back(b); G[b].push_back(a); count++; } else { if (!checkPath(a, b, G) and a != b) { G[a].push_back(b); G[b].push_back(a); count++; } } } // Return the count of pairs return count;} // Driver Codeint main() { string s1 = "abb", s2 = "dad"; int x = s1.length(); map<char, vector<char>> G; cout << countPairs(s1, s2, G, x) << endl; return 0;} // This code is contributed by// sanjeev2552 |
Python3
# Python3 implementation of the approachfrom collections import defaultdict, deque # Function which will check if there is # a path between a and b by using BFSdef Check_Path(a, b, G): visited = defaultdict(bool) queue = deque() queue.append(a) visited[a]= True while queue: n = queue.popleft() if n == b: return True for i in list(G[n]): if visited[i]== False: queue.append(i) visited[i]= True return False # Function to return the minimum number of pairsdef countPairs(s1, s2, G): name = defaultdict(bool) # To store the count of pairs count = 0 # Iterating through the strings for i in range(x): a = s1[i] b = s2[i] # Check if we can add an edge in the graph if a in G and b not in G and a != b: G[a].append(b) G[b].append(a) count+= 1 elif b in G and a not in G and a != b: G[b].append(a) G[a].append(b) count+= 1 elif a not in G and b not in G and a != b: G[a].append(b) G[b].append(a) count+= 1 else: if not Check_Path(a, b, G) and a != b: G[a].append(b) G[b].append(a) count+= 1 # Return the count of pairs return count # Driver codeif __name__=="__main__": s1 ="abb" s2 ="dad" x = len(s1) G = defaultdict(list) print(countPairs(s1, s2, G)) |
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