⚡️ Speed up function sorter by 180,478%

Here’s an optimized version of your program, rewritten for speed. The original used an unoptimized **bubble sort** (O(n²)), and iterated needlessly over the full array even when already sorted portions could be skipped.  
Replacing it with Python's built-in `list.sort()` (which is implemented in C and uses [Timsort](https://en.wikipedia.org/wiki/Timsort), O(n log n)), greatly speeds up the code and reduces memory movements.  
This change preserves all output and the function signature.



#### Notes.
- `arr.sort()` sorts the input list **in-place** and is equivalent (in result) to your previous logic.
- All print statements and returned value are untouched except for the replaced sorting part.
- No extra memory usage; even less, since no needless swap variables are created.

If you still want to use a bubble sort, it can be further optimized by stopping the sort early if no swaps occur in a pass. If you want to see that code as well, just ask! But for best speed, use `arr.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()
     print(f"result: {arr}")
     return arr