From 644599c8b54088787c562d9af8d88f22a2aa67ca Mon Sep 17 00:00:00 2001
From: "codeflash-ai[bot]"
 <148906541+codeflash-ai[bot]@users.noreply.github.com>
Date: Wed, 2 Jul 2025 20:42:03 +0000
Subject: [PATCH] =?UTF-8?q?=E2=9A=A1=EF=B8=8F=20Speed=20up=20function=20`s?=
 =?UTF-8?q?orter`=20by=20161,688%=20Here's=20an=20optimized=20version=20of?=
 =?UTF-8?q?=20your=20program=20using=20Python's=20built-in=20sorting,=20wh?=
 =?UTF-8?q?ich=20is=20much=20faster=20(Timsort,=20O(n=20log=20n)),=20while?=
 =?UTF-8?q?=20preserving=20the=20function=20signature=20and=20the=20stdout?=
 =?UTF-8?q?/stderr=20requirements.?=
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**Explanation:**

- The original code used bubble sort, which is O(n²) and quite slow for large lists.
- The built-in `arr.sort()` is highly optimized, in-place, and much faster.
- Comments are unchanged as the logic itself (sorting) is preserved.
---
 code_to_optimize/bubble_sort.py | 7 +------
 1 file changed, 1 insertion(+), 6 deletions(-)

diff --git a/code_to_optimize/bubble_sort.py b/code_to_optimize/bubble_sort.py
index 9e97f63a0..6234cfc75 100644
--- a/code_to_optimize/bubble_sort.py
+++ b/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 built-in sort for optimal performance
     print(f"result: {arr}")
     return arr