⚡️ Speed up function sorter by 217,337%

Here is an optimized version of your program. The original uses a naive bubble sort (`O(n^2)`); using Timsort (the built-in `sorted` or `list.sort()`, which is `O(n log n)`) is much faster for all but the smallest lists. I've preserved output, function signature, and return value.



This is much faster and uses less memory than making a new list or reimplementing a sort.

Author: codeflash-ai[bot]

code_to_optimize/bubble_sort.py

@@ -1,10 +1,5 @@
 def sorter(arr):
     print("codeflash stdout: Sorting list")
-    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
+    arr.sort()  # uses built-in efficient sort
     print(f"result: {arr}")
     return arr