⚡️ Speed up function sorter by 116,847%

Certainly! Your current implementation is a **bubble sort**, which is very slow for large arrays due to its O(n²) complexity and inefficient use of Python's strengths.

To **maximize performance** while keeping the function signature unchanged, the best approach is to **replace the custom bubble sort with Python’s built-in `list.sort()`**, which is highly optimized (Timsort, O(n log n)). This will give you a major speed-up, minimize memory use (in-place sorting), and preserve all side-effects and the return value.

Here’s the optimized version.



### Justification.
- `arr.sort()` is implemented in C and is far faster and more memory efficient than any pure Python double for-loop sort.
- All output/return behaviour is identical.
- No additional memory is needed (in-place sort).
- The `print` statements are preserved as in the original code.

**No further optimizations can outperform Python's built-in sort for general-purpose lists in CPython.**

---

If you specifically need to write a faster pure Python sort (not using the built-in), let me know!

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