75. Sort Colors (Medium)
2019-07-07 本文已影响1人
Ysgc
Description:
Given an array with n objects colored red, white or blue, sort them **in-place **so that objects of the same color are adjacent, with the colors in the order red, white and blue.
Here, we will use the integers 0, 1, and 2 to represent the color red, white, and blue respectively.
Note: You are not suppose to use the library's sort function for this problem.
Example:
Input: [2,0,2,1,1,0]
Output: [0,0,1,1,2,2]
Follow up:
- A rather straight forward solution is a two-pass algorithm using counting sort.
First, iterate the array counting number of 0's, 1's, and 2's, then overwrite array with total number of 0's, then 1's and followed by 2's. - Could you come up with a one-pass algorithm using only constant space?
Solution:
Solution1: inspired by "follow up" (1)
class Solution:
def sortColors(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
collection = [0,0,0]
for n in nums:
collection[n] += 1
k = 0
for i in range(3):
for j in range(collection[i]):
nums[k] = i
k += 1
Performance:
- Runtime: 32 ms, faster than 94.53% of Python3 online submissions for Sort Colors.
- Memory Usage: 13.3 MB, less than 6.75% of Python3 online submissions for Sort Colors.
Solution1: inspired by "follow up" (2)
class Solution:
def sortColors(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
i,j = 0,len(nums)-1
while j > -1 and nums[j] == 2: # make sure that i 左边要么空要么都是1, j右边要么空要么都是2,k左边要么0要么1,没有2
j -= 1# make sure ..
while i < len(nums) and nums[i] == 0:# make sure ..
i += 1# make sure ..
k = i
while k < j+1:
if nums[k] == 2 and k < j: # 换回来的可能是0 or 1, 不可能是2
nums[k],nums[j] = nums[j],nums[k]
if nums[k] == 0 and k > i:
# 此0可能是和j换回来的,也可能是原生的。此步换回来的只可能是1, 不可能是0 or 2。也因此判断0在判断2后面
nums[k],nums[i] = nums[i],nums[k]
while j > -1 and nums[j] == 2:# make sure ..
j -= 1# make sure ..
while i < len(nums) and nums[i] == 0:# make sure ..
i += 1# make sure ..
k += 1
Performance:
- Runtime: 32 ms, faster than 94.53% of Python3 online submissions for Sort Colors.
- Memory Usage: 13.1 MB, less than 69.19% of Python3 online submissions for Sort Colors.