⚡️ Speed up function sorter by 237,365%

Certainly! The given program is using a bubble sort algorithm, which has a time complexity of O(n^2). An optimized algorithm for sorting is the Timsort (used in Python's in-built sort), which has a time complexity of O(n log n). Let's rewrite the code using Python's in-built sorting function.



The resulting functionality remains the same, but the performance will be significantly better for larger lists due to the optimized sorting algorithm.

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 built-in Timsort with O(n log n) complexity
     print(f"result: {arr}")
     return arr