⚡️ Speed up function sorter by 439,308%

You can optimize this sorting program by using a more efficient algorithm than the bubble sort currently being used. The bubble sort has a time complexity of \(O(n^2)\), which is not efficient for large datasets. Instead, we can use Python's built-in sort function which implements Timsort, a hybrid sorting algorithm derived from merge sort and insertion sort, with a time complexity of \(O(n \log n)\).

Here is the optimized program.



This replacement uses Python's highly optimized built-in `sort` method, which is much faster for larger lists. The return value and functionality remain the same.

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
     print(f"result: {arr}")
     return arr