Sort an array
class Solution:
def sortArray(self, nums: List[int]) -> List[int]:
def merge_sort(arr):
if len(arr) <= 1:
return arr
# Find the middle point of the array
middle = len(arr) // 2
# Divide the array into two halves
left_half = arr[:middle]
right_half = arr[middle:]
# Recursively sort both halves
left_half = merge_sort(left_half)
right_half = merge_sort(right_half)
# Merge the sorted halves
return merge(left_half, right_half)
def merge(left, right):
result = []
i = j = 0
# Traverse through both arrays and append smaller element in result
while i < len(left) and j < len(right):
if left[i] < right[j]:
result.append(left[i])
i += 1
else:
result.append(right[j])
j += 1
# Append the remaining elements of left (if any)
while i < len(left):
result.append(left[i])
i += 1
# Append the remaining elements of right (if any)
while j < len(right):
result.append(right[j])
j += 1
return result
return merge_sort(nums)
Sort an Array
Given an array of integers nums, sort the array in ascending order and return it.
You must solve the problem without using any built-in functions in O(nlog(n)) time complexity and with the smallest space complexity possible.
Example 1:
Input: nums = [5,2,3,1] Output: [1,2,3,5] Explanation: After sorting the array, the positions of some numbers are not changed (for example, 2 and 3), while the positions of other numbers are changed (for example, 1 and 5).
Example 2:
Input: nums = [5,1,1,2,0,0] Output: [0,0,1,1,2,5] Explanation: Note that the values of nums are not necessairly unique.
Constraints:
1 <= nums.length <= 5 * 104-5 * 104 <= nums[i] <= 5 * 104