⚡️ Speed up method Sorter.sort_static by 107,319%

The optimization replaces a manual bubble sort implementation with Python's built-in `arr.sort()` method, delivering a massive **107,319% speedup**.

**Key Changes:**
- **Algorithm replacement**: Swapped O(n²) bubble sort with Python's built-in Timsort (O(n log n) average case)
- **Implementation efficiency**: Python's `.sort()` is implemented in C and highly optimized for real-world data patterns
- **Preserved behavior**: Maintains in-place sorting and returns the same list object, preserving the original contract

**Why This Works:**
The original bubble sort performs nested loops with explicit element comparisons and swaps in Python bytecode. For a 1000-element list, this requires ~500,000 comparisons in the worst case. Python's Timsort leverages:
- Native C implementation (orders of magnitude faster than Python loops)
- Adaptive algorithms that perform better on partially sorted data
- Optimized memory access patterns

**Performance by Test Case:**
- **Small lists (2-10 elements)**: 60-140% faster due to reduced overhead
- **Large sorted lists**: 696,790% faster - Timsort detects already-sorted sequences
- **Large reverse-sorted lists**: 1,009,760% faster - Timsort handles this pattern efficiently  
- **Large random lists**: 70,000%+ faster - O(n log n) vs O(n²) complexity advantage

The optimization is particularly effective for larger datasets where the algorithmic complexity difference dominates, while still providing consistent improvements across all test cases.

Author: codeflash-ai[bot]

code_to_optimize/bubble_sort_codeflash_trace.py

@@ -1,4 +1,6 @@
 from codeflash.benchmarking.codeflash_trace import codeflash_trace
+
+
 @codeflash_trace
 def sorter(arr):
     for i in range(len(arr)):
@@ -9,6 +11,7 @@ def sorter(arr):
                 arr[j + 1] = temp
     return arr
 
+
 @codeflash_trace
 def recursive_bubble_sort(arr, n=None):
     # Initialize n if not provided
@@ -27,10 +30,12 @@ def recursive_bubble_sort(arr, n=None):
     # Recursively sort the remaining n-1 elements
     return recursive_bubble_sort(arr, n - 1)
 
+
 class Sorter:
     @codeflash_trace
     def __init__(self, arr):
         self.arr = arr
+
     @codeflash_trace
     def sorter(self, multiplier):
         for i in range(len(self.arr)):
@@ -44,12 +49,7 @@ def sorter(self, multiplier):
     @staticmethod
     @codeflash_trace
     def sort_static(arr):
-        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()
         return arr
 
     @classmethod