⚡️ Speed up method Sorter.sorter by 205,046%

The optimization replaces a manual bubble sort implementation with Python's built-in `sort()` method, delivering massive performance gains.

**What was optimized:**
- Replaced the nested O(n²) bubble sort loops with `self.arr.sort()`, which uses Timsort (O(n log n) average case)
- Eliminated manual element swapping and redundant array accesses
- Preserved exact behavior: sorts `self.arr` in-place and returns `self.arr * multiplier`

**Why this is dramatically faster:**
1. **Algorithmic complexity**: Timsort is O(n log n) vs bubble sort's O(n²), making it exponentially faster for larger inputs
2. **Native implementation**: Python's `sort()` is implemented in highly optimized C code
3. **Reduced overhead**: Eliminates Python loop overhead and multiple array index operations per comparison

**Test case performance patterns:**
- **Small arrays (2-4 elements)**: 70-160% speedup due to reduced Python overhead
- **Large arrays (100-1000 elements)**: 15,000x to 1,000,000x+ speedup due to algorithmic efficiency
- **Already sorted data**: Massive gains since Timsort has O(n) best-case performance vs bubble sort's O(n²) regardless of input order
- **Reverse sorted data**: Most dramatic improvements (1,000,000x+) as this is bubble sort's worst case

The optimization maintains identical sorting behavior and return value semantics while delivering the most significant performance improvement for larger datasets where the O(n²) vs O(n log n) complexity difference dominates.

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
@@ -27,18 +30,15 @@ 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)):
-            for j in range(len(self.arr) - 1):
-                if self.arr[j] > self.arr[j + 1]:
-                    temp = self.arr[j]
-                    self.arr[j] = self.arr[j + 1]
-                    self.arr[j + 1] = temp
+        self.arr.sort()
         return self.arr * multiplier
 
     @staticmethod