Count of character pairs at same distance as in English alphabets
Given a string, the task is to count the number of pairs whose elements are at same distances as in the English alphabets.
Note : Absolute distance between characters is considered.
Examples :
Input: str = "geeksforgeeks" Output: 4 Explanation: In this (g, s), (e, g), (e, k), (e, g) are the pairs that are at same distances as in English alphabets. Input: str = "observation" Output: 4 Explanation: (b, i), (s, v), (o, n), (v, t) are at same distances as in English alphabets.
A simple solution is to consider generate all pairs and compare pair characters with distance between them. If distance is same for a pair, then increment result.
Algorithm:
Step 1: Take an input string
Step 2: Initialize result equals to 0 and n to the length of the string.
Step 3: Using nested for loops check if the distance between characters is same
Step 4: If distance is same increment the counter (result).
Step 5: Print the output.
C++
// A Simple C++ program to find pairs with distance // equal to English alphabet distance #include <bits/stdc++.h> using namespace std; // Function to count pairs int countPairs(string str) { int result = 0; int n = str.length(); for ( int i = 0; i < n; i++) for ( int j = i + 1; j < n; j++) // Increment count if characters are at // same distance if ( abs (str[i] - str[j]) == abs (i - j)) result++; return result; } // Driver code int main() { string str = "geeksforgeeks" ; cout << countPairs(str); return 0; } |
Java
// A Simple Java program to find pairs with distance // equal to English alphabet distance class Test { // Method to count pairs static int countPairs(String str) { int result = 0 ; int n = str.length(); for ( int i = 0 ; i < n; i++) for ( int j = i + 1 ; j < n; j++) // Increment count if characters // are at same distance if (Math.abs(str.charAt(i) - str.charAt(j)) == Math.abs(i - j)) result++; return result; } // Driver method public static void main(String args[]) { String str = "geeksforgeeks" ; System.out.println(countPairs(str)); } } |
Python 3
# Simple Python3 program to find pairs with # distance equal to English alphabet distance # Function to count pairs def countPairs(str1): result = 0 ; n = len (str1) for i in range ( 0 , n): for j in range (i + 1 , n): # Increment count if characters # are at same distance if ( abs ( ord (str1[i]) - ord (str1[j])) = = abs (i - j)): result + = 1 ; return result; # Driver code if __name__ = = "__main__" : str1 = "geeksforgeeks" ; print (countPairs(str1)); # This code is contributed # by Sairahul099 |
C#
// A Simple C# program to find pairs with distance // equal to English alphabet distance using System; class Test { // Method to count pairs static int countPairs( string str) { int result = 0; int n = str.Length; for ( int i = 0; i < n; i++) for ( int j = i + 1; j < n; j++) // Increment count if characters // are at same distance if (Math.Abs(str[i] - str[j]) == Math.Abs(i - j)) result++; return result; } // Driver method public static void Main() { string str = "geeksforgeeks" ; Console.WriteLine(countPairs(str)); } } // This Code is contributed by vt_m. |
PHP
<?php // PHP program for Count // of character pairs at // same distance as in // English alphabets // Function to count pairs function countPairs( $str ) { $result = 0; $n = strlen ( $str ); for ( $i = 0; $i < $n ; $i ++) for ( $j = $i + 1; $j < $n ; $j ++) // Increment count if // characters are at // same distance if ( abs (ord( $str [ $i ]) - ord( $str [ $j ])) == abs ( $i - $j )) $result ++; return $result ; } // Driver code $str = "geeksforgeeks" ; echo countPairs( $str ); // This code is contributed by Sam007 ?> |
Javascript
<script> // A Simple Javascript program to find pairs with distance // equal to English alphabet distance // Method to count pairs function countPairs(str) { let result = 0; let n = str.length; for (let i = 0; i < n; i++) for (let j = i + 1; j < n; j++) // Increment count if characters // are at same distance if (Math.abs(str[i].charCodeAt() - str[j].charCodeAt()) == Math.abs(i - j)) result++; return result; } let str = "geeksforgeeks" ; document.write(countPairs(str)); // This code is contributed by divyesh072019. </script> |
Output:
4
Time complexity: O(n2). The above method can be optimized by using the fact that there can be only 26 alphabets i.e. instead of checking an element up to length of string, check only from current index to 26th index.
Auxiliary Space: O(n), where n is the length of string. This is because when string is passed to any function it is passed by value and creates a copy of itself in stack.
C++
// An optimized C++ program to find pairs with distance // equal to English alphabet distance #include <bits/stdc++.h> using namespace std; const int MAX_CHAR = 26; // Function to count pairs with distance // equal to English alphabet distance int countPairs(string str) { int result = 0; int n = str.length(); for ( int i = 0; i < n; i++) // This loop runs at most 26 times for ( int j = 1; (i + j) < n && j <= MAX_CHAR; j++) if (( abs (str[i + j] - str[i]) == j)) result++; return result; } // Driver code int main() { string str = "geeksforgeeks" ; cout << countPairs(str); return 0; } |
Java
// An optimized Java program to find pairs with distance // equal to English alphabet distance class Test { static final int MAX_CHAR = 26 ; // Method to count pairs with distance // equal to English alphabet distance static int countPairs(String str) { int result = 0 ; int n = str.length(); for ( int i = 0 ; i < n; i++) // This loop runs at most 26 times for ( int j = 1 ; (i + j) < n && j <= MAX_CHAR; j++) if ((Math.abs(str.charAt(i + j) - str.charAt(i)) == j)) result++; return result; } // Driver method public static void main(String args[]) { String str = "geeksforgeeks" ; System.out.println(countPairs(str)); } } |
Python 3
# An optimized C++ program to find pairs with # distance equal to English alphabet distance MAX_CHAR = 26 # Function to count pairs with distance # equal to English alphabet distance def countPairs(str1): result = 0 ; n = len (str1) for i in range ( 0 , n): # This loop runs at most 26 times for j in range ( 1 , MAX_CHAR + 1 ): if ((i + j) < n): if (( abs ( ord (str1[i + j]) - ord (str1[i])) = = j)): result + = 1 ; return result # Driver code if __name__ = = "__main__" : str1 = "geeksforgeeks" ; print (countPairs(str1)) # This code is contributed # by Sairahul099 |
C#
// An optimized C# program to find pairs with distance // equal to English alphabet distance using System; class Test { static int MAX_CHAR = 26; // Method to count pairs with distance // equal to English alphabet distance static int countPairs( string str) { int result = 0; int n = str.Length; for ( int i = 0; i < n; i++) // This loop runs at most 26 times for ( int j = 1; (i + j) < n && j <= MAX_CHAR; j++) if ((Math.Abs(str[i + j] - str[i]) == j)) result++; return result; } // Driver method public static void Main() { string str = "geeksforgeeks" ; Console.WriteLine(countPairs(str)); } } // This Code is contributed by vt_m. |
PHP
<?php // An optimized PHP program // to find pairs with distance // equal to English alphabet distance // Function to count pairs // with distance equal to // English alphabet distance function countPairs( $str ) { $result = 0; $n = strlen ( $str ); for ( $i = 0; $i < $n ; $i ++) // This loop runs at // most 26 times for ( $j = 1; ( $i + $j ) < $n && $j <= 26; $j ++) if (( abs (ord( $str [ $i + $j ]) - ord( $str [ $i ]) ) == $j )) $result ++; return $result ; } // Driver code $str = "geeksforgeeks" ; echo countPairs( $str ); // This code is contributed by Sam007 ?> |
Javascript
<script> // An optimized Javascript program to find pairs with distance // equal to English alphabet distance let MAX_CHAR = 26; // Method to count pairs with distance // equal to English alphabet distance function countPairs(str) { let result = 0; let n = str.length; for (let i = 0; i < n; i++) // This loop runs at most 26 times for (let j = 1; (i + j) < n && j <= MAX_CHAR; j++) if ((Math.abs(str[i + j].charCodeAt() - str[i].charCodeAt()) == j)) result++; return result; } let str = "geeksforgeeks" ; document.write(countPairs(str)); </script> |
Output:
4
Time complexity: O(n2) under the assumption that alphabet size is constant.
Auxiliary Space: O(n), where n is the length of string. This is because when string is passed to any function it is passed by value and creates a copy of itself in stack.
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