⚡️ Speed up function sorter by 57,106%

Certainly! The given program uses bubble sort, which has an average and worst-case time complexity of \(O(n^2)\). We can optimize this by using a more efficient sorting algorithm like Timsort, which is the default sorting algorithm used in Python's `sorted()` method and `list.sort()` method. Timsort has a time complexity of \(O(n \log n)\).

Here's the modified code.



This code calls the `arr.sort()` method that sorts the list in place using Timsort, making it significantly faster for larger lists.

Author: codeflash-ai-dev[bot]

code_to_optimize/bubble_sort.py

@@ -1,10 +1,6 @@
 def sorter(arr):
+    """Sorts a list using Python's built-in Timsort algorithm."""
     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