Number of pairs with Pandigital Concatenation

Last Updated : 03 May, 2023

A pair of strings when concatenated is said to be a 'Pandigital Concatenation' if their concatenation consists of all digits from (0 - 9) in any order at least once.The task is, given N strings, compute the number of pairs resulting in a 'Pandigital Concatenation'.

Examples:

Input  : num[] = {"123567", "098234", "14765", "19804"}
Output : 3
The pairs, 1^st and 2^nd giving 
(123567098234),1^st and 4^rd giving(12356719804) and 
2^nd and 3^rd giving (09823414765),
on concatenation result in Pandigital Concatenations. 

Input : num[] =  {"56789", "098345", "1234"}
Output : 0
None of the pairs on concatenation result in Pandigital 
Concatenations.

Method 1 (Brute Force): A possible brute-force solution is to form all possible concatenations by forming all pairs in O(n² and using a frequency array for digits (0 - 9), we check if each digit exists at least once in each concatenation formed for every pair.

Implementation:

C++

// C++ program to find all 
// Pandigital concatenations 
// of two strings.
#include <bits/stdc++.h>
using namespace std;

// Checks if a given
// string is Pandigital
bool isPanDigital(string s)
{
    bool digits[10] = {false};
    for (int i = 0; i < s.length(); i++) 
        digits[s[i] - '0'] = true;

    // digit i is not present 
    // thus not pandigital 
    for (int i = 0; i <= 9; i++)
        if (digits[i] == false) 
            return false;

    return true;
}

// Returns number of pairs 
// of strings resulting in 
// Pandigital Concatenations
int countPandigitalPairs(vector<string> &v)
{ 
    // iterate over all 
    // pair of strings
    int pairs = 0;
    for (int i = 0; i < v.size(); i++) 
        for (int j = i + 1; j < v.size(); j++) 
            if (isPanDigital(v[i] + v[j])) 
                pairs++;
    return pairs;
}

// Driver code
int main()
{
    vector<string> v = {"123567", "098234", 
                        "14765", "19804"};
    cout << countPandigitalPairs(v) << endl;
    return 0;
}

Java

// Java program to find all 
// Pandigital concatenations 
// of two strings.
import java.io.*;
import java.util.*;

class GFG
{
    static ArrayList<String> v = 
                  new ArrayList<String>();
                  
    // Checks if a given 
    // string is Pandigital
    static int isPanDigital(String s)
    {
        int digits[] = new int[10];
        
        for (int i = 0; i < s.length(); i++) 
            digits[s.charAt(i) - 
                        (int)'0'] = 1;
    
        // digit i is not present 
        // thus not pandigital 
        for (int i = 0; i <= 9; i++)
            if (digits[i] == 0) 
                return 0;
    
        return 1;
    }
    
    // Returns number of pairs
    // of strings resulting in
    // Pandigital Concatenations
    static int countPandigitalPairs()
    { 
        // iterate over all 
        // pair of strings
        int pairs = 0;
        for (int i = 0; i < v.size(); i++) 
            for (int j = i + 1; 
                     j < v.size(); j++) 
                if (isPanDigital(v.get(i) + 
                                 v.get(j)) == 1) 
                    pairs++;
        return pairs;
    }
    
    // Driver code
    public static void main(String args[])
    {
        v.add("123567");
        v.add("098234");
        v.add("14765");
        v.add("19804");
        System.out.print(countPandigitalPairs());
    }
}

// This code is contributed 
// by Manish Shaw(manishshaw1)

Python3

# Python3 program to find all 
# Pandigital concatenations 
# of two strings.

# Checks if a given
# is Pandigital
def isPanDigital(s) :

    digits = [False] * 10;

    for i in range(0, len(s)) :
        digits[int(s[i]) -
               int('0')] = True

    # digit i is not present 
    # thus not pandigital 
    for i in range(0, 10) :
        if (digits[i] == False) :
            return False

    return True

# Returns number of pairs 
# of strings resulting in 
# Pandigital Concatenations
def countPandigitalPairs(v) :

    # iterate over all 
    # pair of strings
    pairs = 0
    for i in range(0, len(v)) :

        for j in range (i + 1, 
                        len(v)) :
        
            if (isPanDigital(v[i] + 
                             v[j])) :
                pairs = pairs + 1
    return pairs

# Driver code
v = ["123567", "098234", 
        "14765", "19804"]

print (countPandigitalPairs(v))

# This code is contributed by
# Manish Shaw(manishshaw1)

// C# program to find all Pandigital 
// concatenations of two strings.
using System;
using System.Collections.Generic;

class GFG
{
    // Checks if a given 
    // string is Pandigital
    static int isPanDigital(string s)
    {
        int []digits = new int[10];
        Array.Clear(digits, 0, 10);
        for (int i = 0; i < s.Length; i++) 
            digits[s[i] - (int)'0'] = 1;
    
        // digit i is not present 
        // thus not pandigital 
        for (int i = 0; i <= 9; i++)
            if (digits[i] == 0) 
                return 0;
    
        return 1;
    }
    
    // Returns number of pairs
    // of strings resulting in
    // Pandigital Concatenations
    static int countPandigitalPairs(ref List<string> v)
    { 
        // iterate over all 
        // pair of strings
        int pairs = 0;
        for (int i = 0; i < v.Count; i++) 
            for (int j = i + 1; j < v.Count; j++) 
                if (isPanDigital(v[i] + v[j]) == 1) 
                    pairs++;
        return pairs;
    }
    
    // Driver code
    static void Main()
    {
        List<string> v = new List<string>{"123567", "098234", 
                                          "14765", "19804"};
        Console.WriteLine(countPandigitalPairs(ref v));
    }
}

// This code is contributed 
// by Manish Shaw(manishshaw1)

PHP

<?php
// PHP program to find all 
// Pandigital concatenations 
// of two strings.

// Checks if a given
// $is Pandigital
function isPanDigital($s)
{
    $digits = array();
    $digits = array_fill(0, 10, false);

    for ($i = 0; $i < strlen($s); $i++) 
        $digits[ord($s[$i]) - 
                ord('0')] = true;

    // digit i is not present 
    // thus not pandigital 
    for ($i = 0; $i <= 9; $i++)
        if ($digits[$i] == false) 
            return false;

    return true;
}

// Returns number of pairs 
// of strings resulting in 
// Pandigital Concatenations
function countPandigitalPairs(&$v)
{ 
    // iterate over all 
    // pair of strings
    $pairs = 0;
    for ($i = 0; 
         $i < count($v); $i++) 
    {
        for ($j = $i + 1; 
             $j < count($v); $j++)
        {
            if (isPanDigital($v[$i].$v[$j])) 
            {
                $pairs++;
            }
        }
    }
    return $pairs;
}

// Driver code
$v = array("123567", "098234", 
           "14765", "19804");

echo (countPandigitalPairs($v));

// This code is contributed by
// Manish Shaw(manishshaw1)
?>

JavaScript

<script>

// Javascript program to find all
// Pandigital concatenations
// of two strings.

// Checks if a given
// is Pandigital
function isPanDigital(s)
{
    let digits = new Array(10).fill(false);

    for(let i = 0; i < s.length; i++)
        digits[s[i].charCodeAt(0) - 
                '0'.charCodeAt(0)] = true;

    // digit i is not present
    // thus not pandigital
    for(let i = 0; i <= 9; i++)
        if (digits[i] == false)
            return false;

    return true;
}

// Returns number of pairs
// of strings resulting in
// Pandigital Concatenations
function countPandigitalPairs(v) 
{
    
    // Iterate over all
    // pair of strings
    let pairs = 0;
    for(let i = 0; i < v.length; i++)
    {
        for(let j = i + 1;
                j < v.length; j++) 
        {
            if (isPanDigital(v[i] + v[j]))
            {
                pairs++;
            }
        }
    }
    return pairs;
}

// Driver code
let v = [ "123567", "098234",
          "14765", "19804" ];

document.write(countPandigitalPairs(v));

// This code is contributed by gfgking

</script>

Output

Time Complexity : The time complexity of the given program is O(n^2 * k), where n is the number of strings in the input vector and k is the length of the longest string in the vector. This is because the program has nested loops that iterate over all pairs of strings in the input vector, and the isPanDigital function has a loop that iterates over each character in the concatenated string, which takes O(k) time. Therefore, the overall time complexity is O(n^2 * k).

Space Complexity: The space complexity of the program is O(1), as it uses a constant amount of additional space regardless of the size of the input vector or the length of the strings. This is because it uses a fixed-size boolean array of size 10 to keep track of the presence of digits in a string.

Method 2 (Efficient):

Now we look for something better than the brute-force discussed above. Careful analysis suggests that, for every digit 0 - 9 to be present we have a mask as 1111111111 (i.e. all numbers 0-9 exist in the array of numbers

Digits -  0  1  2  3  4  5  6  7  8  9
          |  |  |  |  |  |  |  |  |  |
Mask   -  1  1  1  1  1  1  1  1  1  1 

Here 1 denotes that the corresponding digits
exists at-least once thus for all such Pandigital 
Concatenations, this relationship should hold.
So we can represent 11...11 as a valid mask for
pandigital concatenations.

So now the approach is to represent every string as a mask of 10 bits where the i^th bit is set if the i^th digit exists in the string.

E.g., "11405" can be represented as
Digits -           0  1  2  3  4  5  6  7  8  9
                   |  |  |  |  |  |  |  |  |  |
Mask for 11405 -   1  1  0  0  1  1  0  0  0  0

The approach though may look complete is still not efficient as we still have to iterate over all pairs and check if the OR of these two strings results in the mask of a valid Pandigital Concatenation.

If we analyze the possible masks of all possible strings we can understand that every single string would be only comprised of digits 0 – 9, so every number can at max contain all digits 0 to 9 at least once thus the mask of such a number would be 1111111111 (1023 in decimal). Thus, in the decimal system all masks exit in (0 - 1023].

Now we just have to maintain a frequency array to store the number of times a mask exists in the array of strings.

Let two masks be i and j with frequencies freq_i and freq_j respectively,
If (i OR j) = Mask_{pandigital concatenation}
Then,
Number of Pairs = freq_i * freq_j

Implementation:

C++

// C++ program to count PanDigital pairs
#include <bits/stdc++.h>
using namespace std;

const int pandigitalMask = ((1 << 10) - 1);

void computeMaskFrequencies(vector<string> v, map<int,
                                        int>& freq)
{
    for (int i = 0; i < v.size(); i++) {
        int mask = 0;

        // Stores digits present in string v[i] 
        // atleast once. We use a set as we only 
        // need digits which exist only once 
        // (irrespective of reputation)
        unordered_set<int> digits;
        for (int j = 0; j < v[i].size(); j++) 
            digits.insert(v[i][j] - '0');

        // Calculate the mask by considering all digits
        // existing atleast once
        for (auto it = digits.begin(); it != digits.end(); it++) {
            int digit = (*it);
            mask += (1 << digit);
        }

        // Increment the frequency of this mask
        freq[mask]++;
    }
}

// Returns number of pairs of strings resulting 
// in Pandigital Concatenations
int pandigitalConcatenations(map<int, int> freq)
{
    int ans = 0;

    // All possible strings lie between 1 and 1023
    // so we iterate over every possible mask
    for (int i = 1; i <= 1023; i++) {
        for (int j = 1; j <= 1023; j++) {

            // if the concatenation results in mask of
            // Pandigital Concatenation, calculate all 
            // pairs formed with Masks i and j
            if ((i | j) == pandigitalMask) {
                if (i == j) 
                    ans += (freq[i] * (freq[i] - 1));             
                else
                    ans += (freq[i] * freq[j]);             
            }
        }
    }

    // since every pair is considers twice,
    // we get rid of half of these
    return ans/2;
}

int countPandigitalPairs(vector<string> v)
{
    // Find frequencies of all masks in
    // given vector of strings
    map<int, int> freq;
    computeMaskFrequencies(v, freq);
    
    // Return all possible concatenations.
    return pandigitalConcatenations(freq);
}

// Driver code
int main()
{
    vector<string> v = {"123567", "098234", "14765", "19804"};
    cout << countPandigitalPairs(v) << endl;
    return 0;
}

Java

// Java program to count PanDigital pairs
import java.util.*;

class GFG{

static int pandigitalMask = ((1 << 10) - 1);

static void computeMaskFrequencies(Vector<String> v, 
                         HashMap<Integer, Integer> freq)
{
    for(int i = 0; i < v.size(); i++)
    {
        int mask = 0;

        // Stores digits present in String v[i] 
        // atleast once. We use a set as we only 
        // need digits which exist only once 
        // (irrespective of reputation)
        HashSet<Integer> digits = new HashSet<>();
        for(int j = 0; j < v.get(i).length(); j++) 
            digits.add(v.get(i).charAt(j) - '0');

        // Calculate the mask by considering
        // all digits existing atleast once
        for(int it :digits)
        {
            int digit = (it);
            mask += (1 << digit);
        }

        // Increment the frequency of
        // this mask
        if (freq.containsKey(mask))
        {
            freq.put(mask, freq.get(mask) + 1);
        }
        else
        {
            freq.put(mask, 1);
        }
    }
}

// Returns number of pairs of Strings 
// resulting in Pandigital Concatenations
static int pandigitalConcatenations(
    HashMap<Integer, Integer> freq)
{
    int ans = 0;

    // All possible Strings lie between 
    // 1 and 1023 so we iterate over every
    // possible mask
    for(int i = 1; i <= 1023; i++)
    {
        for(int j = 1; j <= 1023; j++)
        {
            
            // If the concatenation results in mask of
            // Pandigital Concatenation, calculate all 
            // pairs formed with Masks i and j
            if ((i | j) == pandigitalMask && 
                      freq.containsKey(j) && 
                      freq.containsKey(i))
            {
                if (i == j) 
                    ans += (freq.get(i) * 
                           (freq.get(i) - 1));             
                else
                    ans += (freq.get(i) * 
                            freq.get(j));             
            }
        }
    }
    
    // Since every pair is considers twice,
    // we get rid of half of these
    return ans / 2;
}

static int countPandigitalPairs(Vector<String> v)
{
    
    // Find frequencies of all masks in
    // given vector of Strings
    HashMap<Integer,Integer> freq = new HashMap<>();
    computeMaskFrequencies(v, freq);
    
    // Return all possible concatenations.
    return pandigitalConcatenations(freq);
}

// Driver code
public static void main(String[] args)
{
    Vector<String> v  = new Vector<>();
    v.add("123567");
    v.add("098234");
    v.add("14765");
    v.add("19804");
    
    System.out.print(countPandigitalPairs(v) + "\n");
}
}

// This code is contributed by Amit Katiyar

Python3

# Python program to count PanDigital pairs
pandigitalMask = ((1 << 10) - 1)
freq = dict()

def computeMaskFrequencies(v):
    global freq
    for i in range(len(v)):

        mask = 0

        # Stores digits present in string v[i]
        # atleast once. We use a set as we only
        # need digits which exist only once
        # (irrespective of reputation)
        digits = set()

        for j in range(len(v[i])):
            digits.add(int(v[i][j]))

        # Calculate the mask by considering
        # all digits existing atleast once
        for it in digits:

            digit = it
            mask += (1 << digit)

        # Increment the frequency of this mask
        if mask in freq:
            freq[mask] += 1

        else:
            freq[mask] = 1


# Returns number of pairs of strings resulting
# in Pandigital Concatenations
def pandigitalConcatenations():
    global freq

    ans = 0

    # All possible strings lie between 1 and 1023
    # so we iterate over every possible mask
    for i in range(1, 1024):
        for j in range(1, 1024):

            # if the concatenation results in mask of
            # Pandigital Concatenation, calculate all
            # pairs formed with Masks i and j
            if ((i | j) == pandigitalMask and
                    i in freq and j in freq):

                if (i == j):
                    ans += (freq[i] * (freq[i] - 1))
                else:
                    ans += (freq[i] * freq[j])

    # Since every pair is considers twice,
    # we get rid of half of these
    return ans // 2


def countPandigitalPairs(v):

    # Find frequencies of all masks in
    # given vector of strings
    computeMaskFrequencies(v)

    # Return all possible concatenations.
    return pandigitalConcatenations()

# Driver code
v = ["123567", "098234", "14765", "19804"]
print(countPandigitalPairs(v))

# This code is contributed by phasing17

// C# program to count 
// PanDigital pairs
using System;
using System.Collections.Generic;
class GFG{

static int pandigitalMask = 
           ((1 << 10) - 1);

static void computeMaskFrequencies(List<String> v, 
                                   Dictionary<int, 
                                   int> freq)
{
  for(int i = 0; i < v.Count; i++)
  {
    int mask = 0;

    // Stores digits present in String v[i] 
    // atleast once. We use a set as we only 
    // need digits which exist only once 
    // (irrespective of reputation)
    HashSet<int> digits = new HashSet<int>();
    
    for(int j = 0; j < v[i].Length; j++) 
      digits.Add(v[i][j] - '0');

    // Calculate the mask by considering
    // all digits existing atleast once
    foreach(int it in digits)
    {
      int digit = (it);
      mask += (1 << digit);
    }

    // Increment the frequency of
    // this mask
    if (freq.ContainsKey(mask))
    {
      freq[mask]++;
    }
    else
    {
      freq.Add(mask, 1);
    }
  }
}

// Returns number of pairs of 
// Strings resulting in Pandigital 
// Concatenations
static int pandigitalConcatenations(Dictionary<int, 
                                    int> freq)
{
  int ans = 0;

  // All possible Strings lie between 
  // 1 and 1023 so we iterate over every
  // possible mask
  for(int i = 1; i <= 1023; i++)
  {
    for(int j = 1; j <= 1023; j++)
    {
      // If the concatenation results in 
      // mask of Pandigital Concatenation, 
      // calculate all pairs formed with 
      // Masks i and j
      if ((i | j) == pandigitalMask && 
          freq.ContainsKey(j) && 
          freq.ContainsKey(i))
      {
        if (i == j) 
          ans += (freq[i] * 
                  (freq[i] - 1));             
        else
          ans += (freq[i] * 
                  freq[j]);             
      }
    }
  }

  // Since every pair is considers 
  // twice, we get rid of half of 
  // these
  return ans / 2;
}

static int countPandigitalPairs(List<String> v)
{    
  // Find frequencies of all masks in
  // given vector of Strings
  Dictionary<int,
             int> freq = new Dictionary<int,
                                        int>();
  computeMaskFrequencies(v, freq);

  // Return all possible concatenations.
  return pandigitalConcatenations(freq);
}

// Driver code
public static void Main(String[] args)
{
  List<String> v  = new List<String>();
  v.Add("123567");
  v.Add("098234");
  v.Add("14765");
  v.Add("19804");
  Console.Write(countPandigitalPairs(v) + "\n");
}
}

// This code is contributed by 29AjayKumar

JavaScript

<script>

// Javascript program to count PanDigital pairs
const pandigitalMask = ((1 << 10) - 1);

function computeMaskFrequencies(v, freq) 
{
    for(let i = 0; i < v.length; i++)
    {
        let mask = 0;

        // Stores digits present in string v[i]
        // atleast once. We use a set as we only
        // need digits which exist only once
        // (irrespective of reputation)
        let digits = new Set();
        for(let j = 0; j < v[i].length; j++)
            digits.add((v[i][j]).charCodeAt(0) -
                             '0'.charCodeAt(0));

        // Calculate the mask by considering 
        // all digits existing atleast once
        for(let it of digits) 
        {
            let digit = it;
            mask += (1 << digit);
        }

        // Increment the frequency of this mask
        if (freq.has(mask))
        {
            freq.set(mask, freq.get(mask) + 1)
        } 
        else
        {
            freq.set(mask, 1)
        }
    }
}

// Returns number of pairs of strings resulting
// in Pandigital Concatenations
function pandigitalConcatenations(freq)
{
    let ans = 0;

    // All possible strings lie between 1 and 1023
    // so we iterate over every possible mask
    for(let i = 1; i <= 1023; i++)
    {
        for(let j = 1; j <= 1023; j++) 
        {
            
            // if the concatenation results in mask of
            // Pandigital Concatenation, calculate all
            // pairs formed with Masks i and j
            if ((i | j) == pandigitalMask && 
                freq.has(i) && freq.has(j)) 
            {
                if (i == j)
                    ans += (freq.get(i) * 
                           (freq.get(i) - 1));
                else
                    ans += (freq.get(i) * 
                            freq.get(j));
            }
        }
    }

    // Since every pair is considers twice,
    // we get rid of half of these
    return Math.floor(ans / 2);
}

function countPandigitalPairs(v) 
{
    
    // Find frequencies of all masks in
    // given vector of strings
    let freq = new Map();
    computeMaskFrequencies(v, freq);

    // Return all possible concatenations.
    return pandigitalConcatenations(freq);
}

// Driver code
let v = [ "123567", "098234", "14765", "19804" ];
document.write(countPandigitalPairs(v) + "<br>");

// This code is contributed by gfgking

</script>

Output

Complexity : O(N * |s| + 1023 * 1023) where |s| gives length of strings in the array.

Number of pairs with Pandigital Concatenation

sirjan13

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