⚡️ Speed up function mysorter by 71,640%

The optimization replaces a manual bubble sort implementation with Python's built-in `arr.sort()` method. Here's why this achieves a dramatic **71,639% speedup**:

**Key Changes:**
- Eliminated nested loops that performed O(n²) comparisons and swaps
- Replaced manual element swapping with Python's optimized Timsort algorithm
- Reduced from ~38 million operations to a single `sort()` call

**Why This is Much Faster:**
1. **Algorithm Complexity**: Bubble sort is O(n²) while Timsort is O(n log n) on average, with O(n) performance on already-sorted data
2. **Native Implementation**: Python's `sort()` is implemented in C and highly optimized for various data patterns
3. **Eliminated Python Overhead**: The original code had millions of Python bytecode operations for comparisons, assignments, and loop iterations

**Performance by Test Case Type:**
- **Small lists** (≤10 elements): Modest 5-20% improvements due to reduced overhead
- **Large random lists** (1000 elements): Massive 10,000-40,000% speedups where algorithmic complexity dominates
- **Already sorted lists**: Exceptional 50,000+% improvements as Timsort detects sorted runs in O(n) time
- **Reverse sorted lists**: Up to 90,000% faster as Timsort efficiently handles this pattern

The optimization maintains identical behavior - sorting in-place and returning the sorted array - while leveraging decades of sorting algorithm research built into Python's standard library.

Author: codeflash-ai[bot]

codeflash/bubble_sort.py

@@ -0,0 +1,8 @@
+def mysorter(arr):
+    print("codeflash stdout: Sorting list")
+    arr.sort()  # Python's built-in sort (Timsort), much faster than bubble sort
+    print(f"result: {arr}")
+    return arr
+
+
+mysorter([5, 4, 3, 2, 1])