📜  根据数字乘积进行分组时最大组的数量

📅  最后修改于: 2021-04-27 20:14:05             🧑  作者: Mango

给定整数N ,任务是查找具有最大大小的组数。从1到N的每个数字都根据其数字乘积进行分组。
例子:

方法:
为了解决上述问题,我们必须使用哈希图存储每个元素的数字从1到N的乘积,并在重复时增加其频率。然后,我们必须在哈希图中找到最大频率,该最大频率将是该组的最大大小。最后,对与最大组具有相同频率计数的所有组进行计数,然后返回计数。

下面是上述方法的实现:

C++
// C++ implementation to Count the
// groups having largest size while
// grouping is according to
// the product of its digits
#include 
using namespace std;
  
// Function to find out product of digit
int digit_prod(int x)
{
    int prod = 1;
  
    // calculate product
    while (x) {
        prod *= x % 10;
        x = x / 10;
    }
  
    // return the product of digits
    return prod;
}
  
// Function to find the count
int find_count(int n)
{
  
    // hash map for
    // counting frequency
    map mpp;
  
    for (int i = 1; i <= n; i++) {
        // counting freq of each element
        mpp[digit_prod(i)] += 1;
    }
  
    int ans = 1;
    int maxm = 0;
    for (auto x : mpp) {
  
        // find the maximum
        if (x.second > maxm) {
            maxm = x.second;
            ans = 1;
        }
  
        else if (x.second == maxm) {
            // count the number of groups having
            // size of equal to largest group.
            ans++;
        }
    }
  
    return ans;
}
  
// Driver code
int main()
{
  
    // initialise N
    int N = 13;
  
    cout << find_count(N);
  
    return 0;
}


Java
// Java implementation to Count the 
// groups having largest size while 
// grouping is according to 
// the product of its digits 
import java.io.*;
import java.util.*; 
  
class GFG{
  
// Function to find out product of digit 
static int digit_prod(int x) 
{ 
    int prod = 1; 
  
    // Calculate product 
    while (x != 0) 
    { 
        prod *= x % 10; 
        x = x / 10; 
    } 
  
    // Return the product of digits 
    return prod; 
} 
  
// Function to find the count 
static int find_count(int n) 
{ 
      
    // Hash map for counting frequency 
    Map mpp = new HashMap<>(); 
  
    for(int i = 1; i <= n; i++)
    { 
          
        // Counting freq of each element 
        int t = digit_prod(i);
        mpp.put(t, mpp.getOrDefault(t, 0) + 1);
    } 
  
    int ans = 1; 
    int maxm = 0; 
      
    for(Integer x : mpp.values())
    { 
          
        // Find the maximum 
        if (x > maxm) 
        { 
            maxm = x; 
            ans = 1; 
        } 
  
        else if (x == maxm) 
        {
              
            // Count the number of groups having 
            // size of equal to largest group. 
            ans++; 
        } 
    } 
    return ans; 
} 
  
// Driver Code 
public static void main(String args[]) 
{ 
      
    // Initialise N 
    int N = 13; 
  
    System.out.print(find_count(N)); 
}
} 
  
// This code is contributed by offbeat


Python3
# Python3 implementation to Count the 
# groups having largest size while 
# grouping is according to 
# the product of its digits 
  
# Function to find out product of digit 
def digit_prod(x) :
    prod = 1
  
    # calculate product 
    while(x) : 
        prod = prod * (x % 10) 
        x = x // 10
      
    # return the product of digits 
    return prod 
  
# Function to find the count 
def find_count(n) :
      
    # hash map for 
    # counting frequency 
    mpp = {} 
  
    for i in range(1, n + 1): 
          
        # counting freq of each element 
        x = digit_prod(i)
  
        if x in mpp :
            mpp[x] += 1
        else :
            mpp[x] = 1
  
    ans = 1
    maxm = 0
  
    for value in mpp.values() : 
  
        # find the maximum 
        if (value > maxm) :
            maxm = value 
            ans = 1
        elif (value == maxm) :
              
            # count the number of groups having 
            # size of equal to largest group. 
            ans = ans + 1
  
    return ans 
  
# Driver code 
  
# initialise N 
N = 13
  
print(find_count(N))
  
# This code is contributed by Sanjit_Prasad


C#
// C# implementation to count the 
// groups having largest size while 
// grouping is according to 
// the product of its digits 
using System; 
using System.Collections; 
using System.Collections.Generic; 
using System.Text; 
  
class GFG{
      
// Function to find out product of digit 
static int digit_prod(int x) 
{ 
    int prod = 1; 
  
    // Calculate product 
    while (x != 0) 
    { 
        prod *= x % 10; 
        x = x / 10; 
    } 
  
    // Return the product of digits 
    return prod; 
} 
  
// Function to find the count 
static int find_count(int n) 
{ 
      
    // Hash map for counting frequency 
    Dictionary mpp = new Dictionary(); 
  
    for(int i = 1; i <= n; i++)
    { 
          
        // Counting freq of each element 
        int t = digit_prod(i);
        if (mpp.ContainsKey(t))
        {
            mpp[t]++;
        }
        else
        {
            mpp[i] = 1;
        }
    } 
  
    int ans = 1; 
    int maxm = 0; 
      
    foreach(KeyValuePair x in mpp)
    { 
          
        // Find the maximum 
        if (x.Value > maxm) 
        { 
            maxm = x.Value; 
            ans = 1; 
        } 
        else if (x.Value == maxm) 
        {
              
            // Count the number of groups having 
            // size of equal to largest group. 
            ans++; 
        } 
    } 
    return ans; 
}
      
// Driver Code
public static void Main(string[] args)
{
      
    // Initialise N 
    int N = 13; 
  
    Console.Write(find_count(N));
}
}
  
// This code is contributed by rutvik_56


输出:
3