⚡️ Speed up function sorter by 430,280%

Certainly! The given program uses a basic bubble sort algorithm with a time complexity of O(n^2). We can optimize the sorting process by using a more efficient sorting algorithm like Timsort, which is Python's built-in sorting algorithm. Timsort has a time complexity of O(n log n).

Here's the rewritten version of the program.



This code will sort the list much faster, especially on larger datasets. The built-in `sort()` method in Python is highly optimized and will provide better performance than the original bubble sort implementation.

Author: codeflash-ai-dev[bot]

code_to_optimize/bubble_sort.py

@@ -1,10 +1,8 @@
 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
+
+    # Using Python's built-in sort method, which is optimized (Timsort)
+    arr.sort()
+
     print(f"result: {arr}")
     return arr