⚡️ Speed up function sorter by 43,685%

Sure, I can optimize this code. The original implementation uses Bubble Sort, which is not very efficient for larger lists as its average and worst-case time complexity is O(n^2). We can improve the performance significantly by using a more efficient sorting algorithm such as Timsort, which is the built-in sorting algorithm for Python's `sort()` and `sorted()` functions. Timsort has a time complexity of O(n log n).




This change drastically improves the performance of the sorting operation while keeping the functionality intact. The built-in `sort()` method is highly optimized for different kinds of data and provides better performance for all kinds of inputs compared to Bubble Sort.

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 the built-in Timsort algorithm
     print(f"result: {arr}")
     return arr