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2844. Minimum Operations to Make a Special Number

Description

You are given a 0-indexed string num representing a non-negative integer.

In one operation, you can pick any digit of num and delete it. Note that if you delete all the digits of num, num becomes 0.

Return the minimum number of operations required to make num special.

An integer x is considered special if it is divisible by 25.

 

Example 1:

Input: num = "2245047"
Output: 2
Explanation: Delete digits num[5] and num[6]. The resulting number is "22450" which is special since it is divisible by 25.
It can be shown that 2 is the minimum number of operations required to get a special number.

Example 2:

Input: num = "2908305"
Output: 3
Explanation: Delete digits num[3], num[4], and num[6]. The resulting number is "2900" which is special since it is divisible by 25.
It can be shown that 3 is the minimum number of operations required to get a special number.

Example 3:

Input: num = "10"
Output: 1
Explanation: Delete digit num[0]. The resulting number is "0" which is special since it is divisible by 25.
It can be shown that 1 is the minimum number of operations required to get a special number.

 

Constraints:

• 1 <= num.length <= 100
• num only consists of digits '0' through '9'.
• num does not contain any leading zeros.

Solutions

Solution 1: Memoization Search

We notice that an integer $x$ can be divisible by $25$, i.e., $xmod25=0$. Therefore, we can design a function $dfs(i,k)$, which represents the minimum number of digits to be deleted to make the number a special number, starting from the $i$th digit of the string $num$, and the current number modulo $25$ is $k$. The answer is $dfs(0,0)$.

The execution logic of the function $dfs(i,k)$ is as follows:

• If $i=n$, i.e., all digits of the string $num$ have been processed, then if $k=0$, the current number can be divisible by $25$, return $0$, otherwise return $n$;
• Otherwise, the $i$th digit can be deleted, in this case one digit needs to be deleted, i.e., $dfs(i+1,k)+1$; if the $i$th digit is not deleted, then the value of $k$ becomes $(k\times 10+\mathit{\text{num}}[i])mod25$, i.e., $dfs(i+1,(k\times 10+\mathit{\text{num}}[i])mod25)$. Take the minimum of these two.

To prevent repeated calculations, we can use memoization to optimize the time complexity.

The time complexity is $O(n\times 25)$, and the space complexity is $O(n\times 25)$. Here, $n$ is the length of the string $num$.

• Java
• C++
• Python
• Go
• TypeScript

• class Solution {
      private Integer[][] f;
      private String num;
      private int n;
  
      public int minimumOperations(String num) {
          n = num.length();
          this.num = num;
          f = new Integer[n][25];
          return dfs(0, 0);
      }
  
      private int dfs(int i, int k) {
          if (i == n) {
              return k == 0 ? 0 : n;
          }
          if (f[i][k] != null) {
              return f[i][k];
          }
          f[i][k] = dfs(i + 1, k) + 1;
          f[i][k] = Math.min(f[i][k], dfs(i + 1, (k * 10 + num.charAt(i) - '0') % 25));
          return f[i][k];
      }
  }
  

• class Solution {
  public:
      int minimumOperations(string num) {
          int n = num.size();
          int f[n][25];
          memset(f, -1, sizeof(f));
          function<int(int, int)> dfs = [&](int i, int k) -> int {
              if (i == n) {
                  return k == 0 ? 0 : n;
              }
              if (f[i][k] != -1) {
                  return f[i][k];
              }
              f[i][k] = dfs(i + 1, k) + 1;
              f[i][k] = min(f[i][k], dfs(i + 1, (k * 10 + num[i] - '0') % 25));
              return f[i][k];
          };
          return dfs(0, 0);
      }
  };
  

• class Solution:
      def minimumOperations(self, num: str) -> int:
          @cache
          def dfs(i: int, k: int) -> int:
              if i == n:
                  return 0 if k == 0 else n
              ans = dfs(i + 1, k) + 1
              ans = min(ans, dfs(i + 1, (k * 10 + int(num[i])) % 25))
              return ans
  
          n = len(num)
          return dfs(0, 0)
  
  

• func minimumOperations(num string) int {
  	n := len(num)
  	f := make([][25]int, n)
  	for i := range f {
  		for j := range f[i] {
  			f[i][j] = -1
  		}
  	}
  	var dfs func(i, k int) int
  	dfs = func(i, k int) int {
  		if i == n {
  			if k == 0 {
  				return 0
  			}
  			return n
  		}
  		if f[i][k] != -1 {
  			return f[i][k]
  		}
  		f[i][k] = dfs(i+1, k) + 1
  		f[i][k] = min(f[i][k], dfs(i+1, (k*10+int(num[i]-'0'))%25))
  		return f[i][k]
  	}
  	return dfs(0, 0)
  }
  

• function minimumOperations(num: string): number {
      const n = num.length;
      const f: number[][] = Array.from({ length: n }, () => Array.from({ length: 25 }, () => -1));
      const dfs = (i: number, k: number): number => {
          if (i === n) {
              return k === 0 ? 0 : n;
          }
          if (f[i][k] !== -1) {
              return f[i][k];
          }
          f[i][k] = dfs(i + 1, k) + 1;
          f[i][k] = Math.min(f[i][k], dfs(i + 1, (k * 10 + Number(num[i])) % 25));
          return f[i][k];
      };
      return dfs(0, 0);
  }
  
  

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