⚡️ Speed up function sorter by 175,390%

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

**Key changes:**
- **Eliminated nested loops**: The original code had nested `for` loops that compared every element with every other element, resulting in ~113 million operations for larger inputs
- **Replaced with `arr.sort()`**: Uses Python's native sorting implementation written in C, which is dramatically faster
- **Preserved all behavior**: The function still sorts in-place, prints the same messages, and returns the sorted array

**Why this leads to massive speedup:**
- **Algorithmic complexity**: Bubble sort is O(n²) while Timsort is O(n log n) - for 1000 elements, that's ~1,000,000 vs ~10,000 operations
- **Implementation efficiency**: Python's built-in sort is implemented in optimized C code rather than interpreted Python loops
- **Reduced function calls**: Eliminates millions of array indexing operations, comparisons, and assignments

**Performance gains by test case type:**
- **Small lists (≤10 elements)**: 20-90% faster due to reduced overhead
- **Medium lists (100 elements)**: 2,000-4,000% faster as algorithmic advantages emerge  
- **Large lists (1000 elements)**: 9,000-100,000% faster where O(n²) vs O(n log n) difference is most pronounced
- **Already sorted lists**: Particularly dramatic gains since bubble sort still does O(n²) work while Timsort optimizes for sorted data

The line profiler shows the original code spent 32% of time in comparisons and 36% in swapping operations across millions of iterations, all replaced by a single efficient sort call.

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()  # In-place, preserves behavioral side effects and mutations
     print(f"result: {arr}")
     return arr