Given the head of a singly linked list, sort the list using insertion sort, and return the sorted list's head.
The steps of the insertion sort algorithm:
- Insertion sort iterates, consuming one input element each repetition and growing a sorted output list.
- At each iteration, insertion sort removes one element from the input data, finds the location it belongs within the sorted list and inserts it there.
- It repeats until no input elements remain.
The following is a graphical example of the insertion sort algorithm. The partially sorted list (black) initially contains only the first element in the list. One element (red) is removed from the input data and inserted in-place into the sorted list with each iteration.
Example 1:
Input: head = [4,2,1,3]
Output: [1,2,3,4]
Example 2:
Input: head = [-1,5,3,4,0]
Output: [-1,0,3,4,5]
Constraints:
- The number of nodes in the list is in the range
[1, 5000].
-5000 <= Node.val <= 5000
## Solution(Python)
```Python
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def insertionSortList(self, head: Optional[ListNode]) -> Optional[ListNode]:
dummy = ListNode() # start of sorted list
cur = head
while cur:
nxt = cur.next
# find insertion point in sorted list
prev = dummy
while prev.next and prev.next.val < cur.val:
prev = prev.next
# insert cur between prev and prev.next
cur.next = prev.next
prev.next = cur
cur = nxt
return dummy.next
```