⚡️ Speed up function sorter by 64,723%

Certainly! Your code is a naive **bubble sort** with `O(n^2)` time complexity, repeatedly iterating after list is already sorted. That’s very slow for even modest list sizes.

**Optimized Approach:**  
- Python’s built-in `sort()` is implemented in highly-optimized C (`Timsort`, `O(n log n)`).
- It sorts in-place and is always faster than bubble sort.
- Rewriting with `arr.sort()` thus both dramatically improves speed and minimizes memory use.

**Preserved:**
- All `print` statements and their order.
- Function signature and return value.

**Here’s your optimized code:**


This version is **orders of magnitude faster** and uses much less CPU time and memory.  
No unnecessary loops or swaps; result is always the same.

---

**If you wanted to keep a manual algorithm, you can at least stop early if no swaps occurred (bubble sort optimization):**

But in real code, **always use** the first, built-in sort.

---

**Final submission:**

This will give you the correct result as before, at the absolute fastest possible speed in pure Python.

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