⚡️ Speed up function sorter by 197,541%

The optimization replaces the O(N²) bubble sort implementation with Python's built-in `arr.sort()`, which uses the highly optimized Timsort algorithm (O(N log N)).

**Key Changes:**
- Removed the nested loop structure that performed 83+ million operations for large inputs
- Replaced manual element swapping with Python's native sorting implementation
- Eliminated redundant `len(arr) - 1` calculations in the inner loop

**Why This Creates Massive Speedup:**
The original bubble sort has quadratic time complexity, making ~N²/2 comparisons and up to N²/2 swaps. Python's Timsort is a hybrid stable sorting algorithm that:
- Runs in O(N log N) worst case, O(N) best case for already-sorted data
- Uses highly optimized C implementation
- Employs intelligent techniques like run detection and galloping mode

**Performance by Test Case Type:**
- **Small lists (≤10 elements):** 20-60% faster - overhead reduction from eliminating nested loops
- **Large sorted lists:** 60,000%+ faster - Timsort detects existing order and runs in near-linear time
- **Large random/reverse sorted lists:** 40,000-98,000%+ faster - demonstrates the O(N log N) vs O(N²) algorithmic advantage
- **Lists with duplicates:** 37,000-84,000%+ faster - Timsort handles duplicates efficiently without unnecessary comparisons

The line profiler shows the original code spent 26.5% of time just in the inner loop range calculation and 30.6% in comparisons, totaling over 83 million operations. The optimized version eliminates this entirely with 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()  # Use Python's built-in sort for much faster performance
     print(f"result: {arr}")
     return arr