⚡️ Speed up function sorter by 174,908%

Here’s your optimized program. The original code uses an unoptimized bubble sort (O(n²)), always iterating through the entire list regardless of whether it's already sorted.  
A faster approach is to use Python’s built-in `sort` method (Timsort, O(n log n)), which is highly optimized.  
I’ve preserved your print statements and function signature.



**Comments:**
- The purpose and behavior (including print output) remain identical.
- This approach is significantly faster for all but the smallest lists.  
- If you require sorting **without mutating** the input list, use `sorted(arr)` (returns a new list).  
Let me know if you need to preserve the original or add more features!

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()  # much faster built-in Timsort
     print(f"result: {arr}")
     return arr