⚡️ Speed up function sorter by 109,180%

The optimization replaces a manual bubble sort implementation with Python's built-in `arr.sort()` method, delivering dramatic performance improvements.

**Key changes:**
- **Eliminated nested loops**: The original O(N²) bubble sort algorithm with nested for loops is replaced by a single `arr.sort()` call
- **Leveraged Timsort**: Python's built-in sort uses the highly optimized Timsort algorithm with O(N log N) complexity
- **Removed manual swapping**: The three-line element swapping logic is eliminated entirely

**Why this creates massive speedup:**
- **Algorithmic complexity**: Bubble sort performs ~N²/2 comparisons and swaps, while Timsort performs ~N log N operations
- **Native implementation**: `arr.sort()` is implemented in C and highly optimized, versus interpreted Python loops
- **Adaptive sorting**: Timsort performs exceptionally well on partially sorted data, explaining the 50,000%+ speedups on large sorted/reverse-sorted lists

**Test case performance patterns:**
- **Small lists (≤10 elements)**: 15-46% speedup due to reduced Python interpreter overhead
- **Large sorted lists**: 50,000%+ speedup as Timsort recognizes existing order
- **Large random lists**: 40,000%+ speedup from superior algorithmic complexity
- **Lists with duplicates**: 45,000%+ speedup as Timsort handles duplicates efficiently

The optimization maintains identical functionality (in-place sorting, return value, print statements) while transforming an academic O(N²) algorithm into production-ready O(N log N) performance.

Author: codeflash-ai[bot]

codeflash/bubble_sort.py

@@ -0,0 +1,5 @@
+def sorter(arr):
+    print("codeflash stdout: Sorting list")
+    arr.sort()
+    print(f"result: {arr}")
+    return arr