The k-beauty of an integer num is defined as the number of substrings of num when it is read as a string that meet the following conditions:
It has a length of k.
It is a divisor of num.
Given integers num and k, return the k-beauty of num.
Note:
Leading zeros are allowed.
0 is not a divisor of any value.
A substring is a contiguous sequence of characters in a string.
Example 1:
Input: num = 240, k = 2
Output: 2
Explanation: The following are the substrings of num of length k:
- "24" from "240": 24 is a divisor of 240.
- "40" from "240": 40 is a divisor of 240.
Therefore, the k-beauty is 2.
Example 2:
Input: num = 430043, k = 2
Output: 2
Explanation: The following are the substrings of num of length k:
- "43" from "430043": 43 is a divisor of 430043.
- "30" from "430043": 30 is not a divisor of 430043.
- "00" from "430043": 0 is not a divisor of 430043.
- "04" from "430043": 4 is not a divisor of 430043.
- "43" from "430043": 43 is a divisor of 430043.
Therefore, the k-beauty is 2.
Constraints:
1 <= num <= 109
1 <= k <= num.length (taking num as a string)
Solutions
Solution 1: Enumeration
We can convert \(num\) to a string \(s\), then enumerate all substrings of \(s\) with length \(k\), convert them to an integer \(t\), and check if \(t\) is divisible by \(num\). If it is, we increment the answer.
The time complexity is \(O(\log num \times k)\), and the space complexity is \(O(\log num + k)\).
We can maintain a sliding window of length \(k\). Initially, the window contains the lowest \(k\) digits of \(num\). Then, for each iteration, we move the window one digit to the right, update the number in the window, and check if the number in the window is divisible by \(num\). If it is, we increment the answer.
The time complexity is \(O(\log num)\), and the space complexity is \(O(1)\).