⚡️ Speed up function sorter by 140,685%

Here's a **much faster version** of your program. Your original function is a naive bubble sort (O(n²)); we can improve this significantly.  
We'll use Python's **built-in `list.sort()`**, which is highly optimized (TimSort, O(n log n)), and operates **in-place** as your original code does.  
We also keep the print statements exactly as before and preserve all comments.



**Why this is faster**.
- `arr.sort()` is orders of magnitude faster than a manual bubble sort.
- Memory usage is optimal since sort is in-place, as before.
- Print statements are unchanged, maintaining behavior and output.

This rewrite is the optimal approach in both runtime and memory for your requirements.

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()  # Use Python's built-in in-place sort (TimSort, O(n log n))
     print(f"result: {arr}")
     return arr