From d80f2ff8270efd793f5514af5b98eb29e548d433 Mon Sep 17 00:00:00 2001
From: "codeflash-ai[bot]"
 <148906541+codeflash-ai[bot]@users.noreply.github.com>
Date: Wed, 5 Mar 2025 19:27:44 +0000
Subject: [PATCH] =?UTF-8?q?=E2=9A=A1=EF=B8=8F=20Speed=20up=20function=20`s?=
 =?UTF-8?q?orter`=20by=20474,003%=20Certainly,=20here's=20an=20optimized?=
 =?UTF-8?q?=20version=20of=20your=20Python=20program=20using=20the=20Timso?=
 =?UTF-8?q?rt=20algorithm,=20which=20has=20an=20average-case=20time=20comp?=
 =?UTF-8?q?lexity=20of=20O(n=20log=20n).?=
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The `sort()` method in Python uses Timsort, which is a very efficient sorting algorithm for real-world data. It has a worst-case time complexity of O(n log n) and performs very well on partially sorted data. This will significantly speed up the sorting process compared to the original bubble sort implementation which has a time complexity of O(n^2).
---
 code_to_optimize/bubble_sort.py | 9 ++-------
 1 file changed, 2 insertions(+), 7 deletions(-)

diff --git a/code_to_optimize/bubble_sort.py b/code_to_optimize/bubble_sort.py
index 787cc4a90..7dc644cde 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()
     print(f"result: {arr}")
-    return arr
\ No newline at end of file
+    return arr