⚡️ Speed up function sorter by 93,340%

The optimized code replaces a manual O(n²) bubble sort implementation with Python's built-in `arr.sort()` method, which uses the highly optimized Timsort algorithm (O(n log n)).

**Key changes:**
- Eliminated nested loops and manual element swapping with a single `arr.sort()` call
- Reduced algorithmic complexity from O(n²) to O(n log n)
- Leverages Python's C-implemented sorting which is significantly faster than Python loops

**Why it's faster:**
The original bubble sort performs excessive comparisons and swaps. For a 1000-element list, bubble sort makes ~500,000 operations while Timsort makes ~10,000. The built-in sort is also implemented in optimized C code rather than interpreted Python loops.

**Performance characteristics:**
- Small lists (≤10 elements): 200-400% faster due to reduced overhead
- Large sorted lists: 900,000%+ faster since Timsort detects sorted runs and operates in O(n) time
- Large random/reverse lists: 70,000-1,500,000%+ faster due to superior algorithmic complexity
- Maintains identical behavior: in-place sorting with the same return value

The optimization is universally beneficial across all test cases, with dramatic improvements on larger datasets where the O(n²) vs O(n log n) complexity difference becomes pronounced.

Author: codeflash-ai[bot]

code_to_optimize/bubble_sort_3.py

@@ -1,8 +1,3 @@
 def sorter(arr):
-    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()
     return arr