⚡️ Speed up function sorter by 56,879%

Certainly! The current implementation uses Bubble Sort, which has a time complexity of \(O(n^2)\). We can improve the efficiency significantly by using built-in sorting functions which are optimized for performance. Here is the optimized program.



In this version, we replaced the Bubble Sort with the `sort` method, which utilizes Timsort, a hybrid stable sorting algorithm derived from merge sort and insertion sort.

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 built-in sort method which uses Timsort with a time complexity of O(n log n)
+    arr.sort()
+
     print(f"result: {arr}")
     return arr