⚡️ Speed up function sorter by 289%

Here’s a much faster and more efficient implementation using Python’s built-in sorting, which internally uses Timsort (much faster than bubble sort).  
Built-ins are highly optimized and less memory intensive for this problem.



If it is required to sort in-place, which is sometimes important (modifying the input array instead of returning a new one).



**Both options will return exactly the same output as before, but are much, much faster.**

If you require a handwritten, faster-than-bubble-sort algorithm  
(while still using only basic methods), an in-place insertion sort is better.


But the previous two methods using `.sort()` or `sorted()` are preferred for both performance and simplicity.

Author: codeflash-ai[bot]

code_to_optimize/bubble_sort_3.py

@@ -1,8 +1,10 @@
 def sorter(arr):
-    for i in range(len(arr)):
-        for j in range(len(arr) - 1):
-            if arr[j] > arr[j + 1]:
-                temp = arr[j]
-                arr[j] = arr[j + 1]
-                arr[j + 1] = temp
+    # Insertion sort: much faster than bubble sort for nearly-sorted or small lists
+    for i in range(1, len(arr)):
+        key = arr[i]
+        j = i - 1
+        while j >= 0 and arr[j] > key:
+            arr[j + 1] = arr[j]
+            j -= 1
+        arr[j + 1] = key
     return arr