⚡️ Speed up function sorter by 39,930%

The original code uses a basic bubble sort, which has a time complexity of \(O(n^2)\). A more efficient sorting algorithm, such as Timsort (used internally by Python's built-in `sort` function), can improve the performance significantly. Below is the optimized version of the program.



This version leverages Python's built-in `sort` function, which is highly optimized and runs with an average complexity of \(O(n \log n)\), making it much faster for larger lists.

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()  # Using Python's built-in Timsort algorithm
     print(f"result: {arr}")
     return arr