⚡️ Speed up function sorter by 394,270%

The given code implements the Bubble Sort algorithm, which has a time complexity of O(n^2). We can optimize the sorting by using the built-in `sort` function in Python, which implements Timsort—a hybrid sorting algorithm derived from merge sort and insertion sort with a time complexity of O(n log n).

Here's the optimized version of the program.



The built-in `sort` method will provide a significant performance boost for large lists compared to the original bubble sort implementation. The functionality and output remain the same, but the efficiency is greatly improved.

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()  # Using the built-in sort method which is optimized
     print(f"result: {arr}")
     return arr