38.
Count and Say
Medium
Problem Description
The count-and-say sequence is a sequence of digit strings defined by the recursive formula:
- countAndSay(1) = "1"
- countAndSay(n) is the way you would "say" the digit string from countAndSay(n-1), which is then converted into a different digit string. To determine how you "say" a digit string, split it into the minimal number of groups so that each group is a contiguous section all of the same character. Then for each group, say the number of characters, then say the character. To convert the saying into a digit string, replace the counts with a number and concatenate every saying.
Examples
Input: n = 1
Output: "1"
Input: n = 4
Output: "1211"
Constraints
1 <= n <= 30
Approach to Solve
Use recursion to generate the sequence, and iterate through the previous string to count and say the digits.
Code Implementation
class Solution:
def countAndSay(self, n: int) -> str:
if n == 1:
return "1"
prev = self.countAndSay(n - 1)
result = ""
count = 1
for i in range(1, len(prev)):
if prev[i] == prev[i-1]:
count += 1
else:
result += str(count) + prev[i-1]
count = 1
result += str(count) + prev[-1]
return result
Explanation
This solution uses recursion to generate the count-and-say sequence. Here's a detailed explanation of the algorithm:
- Base case: If n is 1, return "1".
- Recursive step: Generate the (n-1)th term by calling countAndSay(n-1).
- Iterate through the (n-1)th term:
- Count consecutive identical digits.
- When a different digit is encountered or we reach the end, append the count and the digit to the result.
- Return the generated nth term.
The time and space complexity are both O(2^n) in the worst case, as the length of the sequence can potentially double with each step.
Complexity
- Time Complexity: O(2^n)
- Space Complexity: O(2^n)
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