⚡️ Speed up function sorter by 172,818%

The optimization replaces a manual bubble sort implementation with Python's built-in `list.sort()` method, resulting in a dramatic performance improvement.

**Key Changes:**
- **Algorithm replacement**: Eliminated the nested loops implementing bubble sort (O(n²) time complexity) and replaced with a single `arr.sort()` call
- **Leverages Timsort**: Python's built-in sort uses Timsort, an adaptive hybrid sorting algorithm with O(n log n) average case complexity
- **Reduced operation count**: The original code performed up to 114 million operations for large inputs, while the optimized version performs the sort in a single highly-optimized C implementation call

**Why This Leads to Speedup:**
- **Time complexity improvement**: Bubble sort's O(n²) becomes Timsort's O(n log n), providing exponential improvement for larger datasets
- **Implementation efficiency**: Python's built-in sort is implemented in C and heavily optimized, versus interpreted Python loops with element swapping
- **Adaptive optimization**: Timsort performs exceptionally well on partially sorted data, already-sorted data, and reverse-sorted data through intelligent run detection

**Test Case Performance Patterns:**
- **Small lists (≤10 elements)**: 30-70% faster due to reduced overhead
- **Large sorted/reverse-sorted lists**: 60,000-100,000% faster as Timsort recognizes existing order patterns
- **Large random lists**: 30,000-50,000% faster from O(n²) to O(n log n) complexity reduction
- **Lists with duplicates**: Significant speedup as Timsort handles equal elements efficiently

The optimization maintains identical behavior including in-place sorting and return value while achieving massive performance gains, especially pronounced on larger datasets where the algorithmic complexity difference dominates.

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