⚡️ Speed up function sorter by 195,917%

The optimization replaces the manual bubble sort implementation with Python's built-in `list.sort()` method, resulting in a **195,916% speedup**.

**Key Changes:**
- **Algorithm replacement**: The nested loops performing O(n²) bubble sort comparisons and swaps are replaced with a single `arr.sort()` call
- **Timsort advantage**: Python's built-in sort uses Timsort, a highly optimized hybrid sorting algorithm implemented in C that runs in O(n log n) time with excellent performance on real-world data patterns

**Why This Creates Massive Speedup:**
- **Complexity reduction**: From O(n²) bubble sort to O(n log n) Timsort
- **C implementation**: Built-in sort is implemented in optimized C code rather than interpreted Python
- **Elimination of Python overhead**: No more 32+ million Python bytecode operations for comparisons, assignments, and array accesses visible in the line profiler

**Test Case Performance Patterns:**
- **Small lists (≤10 elements)**: 13-61% speedup due to reduced Python overhead
- **Large lists (1000 elements)**: 19,000-107,000% speedup where the O(n²) vs O(n log n) complexity difference dominates
- **Already sorted lists**: Timsort's adaptive nature provides exceptional performance on pre-sorted data
- **Lists with duplicates**: Timsort handles duplicate-heavy datasets very efficiently

The optimization maintains identical behavior (in-place sorting, same return value) while leveraging Python's most optimized sorting implementation.

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