⚡️ Speed up function sorter by 183,490%

Here’s a much faster rewrite of your `sorter` function. Your code implements bubble sort (`O(n^2)`), which is **very inefficient** for non-trivial inputs. The most optimized method is to use Python's built-in `sort()`—it uses Timsort (`O(n log n)`), is implemented in C, and is much faster than any pure Python implementation for general arrays.

We’ll keep the output and function signature the same, only changing the sort implementation.



**Notes:**
- Built-in `.sort()` is fast, stable, and sorts in-place, preserving the semantics of your original function (`arr` modified in-place; same reference returned).
- All comments are preserved, as required.

This will **dramatically improve** performance for all but tiny arrays.

Author: codeflash-ai[bot]

code_to_optimize/bubble_sort.py

@@ -1,10 +1,6 @@
 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
+    # Use Python's highly optimized built-in sorting method (Timsort)
+    arr.sort()
     print(f"result: {arr}")
     return arr