⚡️ Speed up function sorter by 354,543%

The current implementation of `sorter` is using a bubble sort algorithm, which has a time complexity of \(O(n^2)\). We can optimize this by using a more efficient sorting algorithm like Timsort, which is the default sorting algorithm in Python's `sort()` method and has a time complexity of \(O(n \log n)\).




This implementation leverages Python's built-in `sort()` method, which is much faster than the bubble sort, especially for large lists. The functionality and the output of the function remain the same.

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