Count The Repetitions — LeetCode 466 Python Solution
HardStringDynamic Programming
- Problem
- #466
- Pattern
- Dynamic Programming
- Reading time
- 4 min
- Source
- leetcode.com
The problem
We define str = [s, n] as the string str which consists of the string s concatenated n times. For example, str == ["abc", 3] =="abcabcabc".
Example
- Input
- s1 = "acb", n1 = 4, s2 = "ab", n2 = 2
- Output
- 2
Python solution
Python
class Solution:
def getMaxRepetitions(self, s1: str, n1: int, s2: str, n2: int) -> int:
n = len(s2)
d = {}
for i in range(n):
cnt = 0
j = i
for c in s1:
if c == s2[j]:
j += 1
if j == n:
cnt += 1
j = 0
d[i] = (cnt, j)
ans = 0
j = 0
for _ in range(n1):
cnt, j = d[j]
ans += cnt
return ans // n2Complexity
| Measure | Complexity |
|---|---|
| Time | O(m \times n + n_1) |
| Space | O(n) auxiliary |
Pattern: Dynamic Programming
Define a state, write the transition, and stop recomputing the same subproblem. LeetCode 466. Count The Repetitions is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Dynamic Programming.
The dynamic programming guide has the Python template for the pattern and the 481 LeetCode problems that use it.
Related problems
Frequently asked questions
- How hard is LeetCode 466. Count The Repetitions?
- LeetCode 466. Count The Repetitions is rated Hard on LeetCode.
- What is the time complexity of LeetCode 466. Count The Repetitions?
- The Python solution on this page runs in O(m \times n + n_1).
- What is the space complexity of LeetCode 466. Count The Repetitions?
- The Python solution on this page uses O(n) auxiliary space.
- What topics does LeetCode 466. Count The Repetitions cover?
- LeetCode 466. Count The Repetitions is tagged String and Dynamic Programming on LeetCode.