⚡️ Speed up function sorter by 62,194%

Certainly! The current implementation uses bubble sort, which has a time complexity of \(O(n^2)\). We can achieve a much faster sorting by utilizing Python's built-in `sort()` method, which uses Timsort with a time complexity of \(O(n \log n)\).

Here's the optimized code.



This change significantly reduces the runtime for large lists while preserving the original functionality.

Author: codeflash-ai[bot]

code_to_optimize/bubble_sort.py

@@ -1,10 +1,6 @@
 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
+    # Use Python's built-in sort() method, which is based on Timsort
+    arr.sort()
     print(f"result: {arr}")
     return arr