⚡️ Speed up function sorter by 177,794%

The optimized code replaces a manual bubble sort implementation (O(n²)) with Python's built-in `arr.sort()` method, which uses Timsort - a highly optimized hybrid sorting algorithm with O(n log n) complexity.

**Key changes:**
- **Eliminated nested loops**: The original bubble sort required ~115M iterations for large inputs, now replaced with a single `arr.sort()` call
- **Algorithm complexity improvement**: From O(n²) bubble sort to O(n log n) Timsort
- **Leveraged native implementation**: Python's sort is implemented in C and heavily optimized

**Why this is faster:**
- **Algorithmic advantage**: For 1000 elements, bubble sort needs ~1M comparisons vs ~10K for Timsort
- **Native C implementation**: Built-in sort runs at C speed rather than interpreted Python
- **Adaptive optimizations**: Timsort performs even better on partially sorted data

**Performance characteristics from tests:**
- **Small arrays (≤10 elements)**: 37-69% faster due to reduced overhead
- **Large arrays (1000 elements)**: 9,000x-106,000x faster due to algorithmic superiority
- **Best case scenarios**: Already sorted lists see 62,000x+ speedup
- **Worst case scenarios**: Reverse-sorted lists see 106,000x+ speedup

The optimization maintains identical behavior including in-place sorting, error handling for incomparable types, and all output formatting.

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