Description:
Given two sorted integer arrays nums1 and nums2, merge nums2 into nums1 as one sorted array.
Note:
The number of elements initialized in nums1 and nums2 are m and n respectively.
You may assume that nums1 has enough space (size that is greater or equal to m + n) to hold additional elements from nums2.
Example:
Input:
nums1 = [1,2,3,0,0,0], m = 3
nums2 = [2,5,6], n = 3Output: [1,2,2,3,5,6]
Solution:
import heapq
class Solution:
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""
Do not return anything, modify nums1 in-place instead.
"""
heapq.heapify(nums2)
for i in range(m):
heapq.heappush(nums2,nums1[i])
nums1[i] = heapq.heappop(nums2)
for i in range(m,m+n):
nums1[i] = heapq.heappop(nums2)
Runtime: 36 ms, faster than 84.22% of Python3 online submissions for Merge Sorted Array.
Memory Usage: 13.2 MB, less than 40.49% of Python3 online submissions for Merge Sorted Array.
import heapq
class Solution:
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""
Do not return anything, modify nums1 in-place instead.
"""
heapq.heapify(nums2)
for i in range(m):
heapq.heappush(nums2,nums1[i])
nums1[i] = heapq.heappop(nums2)
nums1[m:m+n] = sorted(nums2) # changed
NOTE: slower than the first version
Runtime: 60 ms, faster than 11.01% of Python3 online submissions for Merge Sorted Array.
Memory Usage: 13.2 MB, less than 46.71% of Python3 online submissions for Merge Sorted Array.
sample 16 ms submission:
NOTE: 從右往左對(duì)比"假·nums1"和"nums2",覆蓋"真·nums1"的最右
class Solution:
def merge(self, nums1, m: int, nums2, n: int) -> None:
"""
Do not return anything, modify nums1 in-place instead.
"""
i = m - 1
j = n - 1
k = m+n-1
while i >= 0 and j >= 0 :
if nums1[i] >= nums2[j]:
nums1[k] = nums1[i]
i -= 1
else:
nums1[k] = nums2[j]
j -= 1
k -= 1
while j >= 0:
nums1[k] = nums2[j]
j -= 1
k -= 1