⚡️ Speed up method Sorter.sort_class by 113,722%

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

**Key changes:**
- Removed the nested loop bubble sort implementation (lines with `for i in range(len(arr))` and `for j in range(len(arr) - 1)`)
- Replaced the manual element swapping logic with a single `arr.sort()` call
- Maintained in-place sorting behavior and return value

**Why this is faster:**
1. **Algorithmic complexity**: Bubble sort is O(n²) while Timsort is O(n log n), providing exponential speedup for larger datasets
2. **Implementation efficiency**: Python's built-in sort is implemented in optimized C code vs. interpreted Python loops
3. **Adaptive behavior**: Timsort performs even better on partially sorted data, explaining the massive speedups on already-sorted test cases

**Performance results by test case type:**
- **Small lists (≤10 elements)**: 70-216% faster due to reduced function call overhead
- **Large sorted/reverse-sorted lists**: 676,311-987,901% faster as Timsort detects patterns and optimizes accordingly
- **Large random lists**: 65,882-71,127% faster from the fundamental algorithmic improvement
- **Lists with many duplicates**: 96,999-105,372% faster as Timsort handles duplicates efficiently

The optimization maintains identical behavior including in-place mutation, return value, and exception handling for incomparable elements.

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)):
@@ -55,10 +60,5 @@ def sort_static(arr):
     @classmethod
     @codeflash_trace
     def sort_class(cls, 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