⚡️ Speed up function sorter by 207,897%

Here is an optimized version of your program.  
Your original code uses a naïve bubble sort, which is highly inefficient (O(n²)).  
Python has a highly optimized built-in sort, Timsort, running in O(n log n).  
Replacing the manual sort with `list.sort()` (in-place sort) maintains functionality and gives a huge performance boost.



**All function signatures and return results are preserved, as are your print statements.**
This change preserves the intended output and greatly improves speed, especially for large lists.

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()  # In-place, highly optimized sorting
     print(f"result: {arr}")
     return arr