⚡️ Speed up function mysorter by 20,147%

The optimized code replaces a manual bubble sort implementation with Python's built-in `arr.sort()` method, delivering a **201x speedup**.

**Key optimization:**
- **Algorithm change**: Replaced O(n²) bubble sort with Python's Timsort algorithm (O(n log n) average case)
- **Implementation efficiency**: Python's built-in sort is implemented in highly optimized C code

**Why this is dramatically faster:**
The original bubble sort performs ~14 million operations for moderate-sized lists (as shown in the profiler), with nested loops comparing and swapping elements repeatedly. Python's Timsort is:
1. **Algorithmically superior**: O(n log n) vs O(n²) complexity
2. **Implementation optimized**: C-level implementation vs Python bytecode
3. **Adaptive**: Performs even better on partially sorted data

**Test case performance:**
- **Small lists** (empty, single element): Minimal difference, both are fast
- **Large lists** (1000+ elements): Massive improvements, especially for reverse-sorted data which is bubble sort's worst case
- **All data types**: Works efficiently with integers, floats, strings, and complex objects
- **Edge cases**: Handles NaN, infinity, and mixed numeric types correctly

The optimization maintains identical behavior (in-place sorting, same return value) while dramatically improving performance for any list with more than a few elements.

Author: codeflash-ai[bot]

codeflash/bubble_sort.py

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