⚡️ Speed up function sorter by 145,189%

The optimization replaces a **manual bubble sort implementation** with Python's **built-in `arr.sort()` method**. 

**Key changes:**
- Eliminated the nested O(n²) bubble sort loops that perform element-by-element comparisons and swaps
- Replaced with Python's highly optimized Timsort algorithm (O(n log n) worst-case)

**Why this leads to massive speedup:**
- **Bubble sort complexity**: The original code performs ~n²/2 comparisons and up to n²/2 swaps for n elements
- **Timsort efficiency**: Python's built-in sort is implemented in C, uses adaptive algorithms that perform well on partially sorted data, and has much better algorithmic complexity
- **Memory access patterns**: Built-in sort has better cache locality compared to the random memory access pattern of bubble sort

**Test case performance patterns:**
- **Small lists (< 10 elements)**: Modest 10-45% improvements due to reduced Python interpreter overhead
- **Large lists (1000 elements)**: Dramatic 10,000-90,000% speedups where algorithmic complexity dominates:
  - Already sorted: 57,607% faster (Timsort's adaptive nature shines)
  - Reverse sorted: 92,409% faster (worst case for bubble sort)
  - Random data: 44,000+ % faster (consistent O(n log n) vs O(n²) difference)

The optimization is most effective for larger datasets where the O(n²) vs O(n log n) complexity difference becomes pronounced.

Author: codeflash-ai[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()
     print(f"result: {arr}")
     return arr