难度: Medium
原题连接
内容描述
There are 8 prison cells in a row, and each cell is either occupied or vacant.
Each day, whether the cell is occupied or vacant changes according to the following rules:
If a cell has two adjacent neighbors that are both occupied or both vacant, then the cell becomes occupied.
Otherwise, it becomes vacant.
(Note that because the prison is a row, the first and the last cells in the row can't have two adjacent neighbors.)
We describe the current state of the prison in the following way: cells[i] == 1 if the i-th cell is occupied, else cells[i] == 0.
Given the initial state of the prison, return the state of the prison after N days (and N such changes described above.)
Example 1:
Input: cells = [0,1,0,1,1,0,0,1], N = 7
Output: [0,0,1,1,0,0,0,0]
Explanation:
The following table summarizes the state of the prison on each day:
Day 0: [0, 1, 0, 1, 1, 0, 0, 1]
Day 1: [0, 1, 1, 0, 0, 0, 0, 0]
Day 2: [0, 0, 0, 0, 1, 1, 1, 0]
Day 3: [0, 1, 1, 0, 0, 1, 0, 0]
Day 4: [0, 0, 0, 0, 0, 1, 0, 0]
Day 5: [0, 1, 1, 1, 0, 1, 0, 0]
Day 6: [0, 0, 1, 0, 1, 1, 0, 0]
Day 7: [0, 0, 1, 1, 0, 0, 0, 0]
Example 2:
Input: cells = [1,0,0,1,0,0,1,0], N = 1000000000
Output: [0,0,1,1,1,1,1,0]
Note:
cells.length == 8
cells[i] is in {0, 1}
1 <= N <= 10^9
思路 1 - 时间复杂度: O(1)- 空间复杂度: O(1)******
一看N这么大的数字就知道会有周期性,直接把每一天的cells存起来,然后通过是否之前出现过,取模算一下应该取的index即可
class Solution:
def prisonAfterNDays(self, cells, N):
"""
:type cells: List[int]
:type N: int
:rtype: List[int]
"""
self.cache = {}
self.states = [cells]
idx = 0
while str(cells) not in self.cache:
self.cache[str(cells)] = idx
idx += 1
cells = [0] + [int(cells[i - 1] == cells[i + 1]) for i in range(1, 7)] + [0]
self.states.append(cells)
N -= 1
if N == 0:
return cells
index = self.cache[str(cells)]
return self.states[index + N % (idx - index)]
思路 2 - 时间复杂度: O(1)- 空间复杂度: O(1)******
用for loop实现更为方便
class Solution:
def prisonAfterNDays(self, cells, N):
"""
:type cells: List[int]
:type N: int
:rtype: List[int]
"""
self.cache = {str(cells): 0}
self.states = [cells]
for i in range(1, N+1):
cells = [0] + [int(cells[i - 1] == cells[i + 1]) for i in range(1, 7)] + [0]
if str(cells) in self.cache:
idx = self.cache[str(cells)]
return self.states[idx+(N-idx)%(i-idx)]
self.cache[str(cells)] = i
self.states.append(cells)
return cells