⚡️ Speed up function sorter by 45,909%

Certainly! The original program uses bubble sort, which has a time complexity of O(n^2). We can significantly optimize this by using Python's built-in `sort` method, which implements Timsort with a time complexity of O(n log n).

Here's the optimized program.



This will make the sorting operation much faster, especially for large lists, as it leverages Python's highly optimized Timsort algorithm.

Author: codeflash-ai-dev[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