⚡️ Speed up function sorter by 190,052%

The optimization replaces a naive bubble sort implementation with Python's built-in `arr.sort()` method, delivering dramatic performance improvements.

**Key Changes:**
- **Eliminated nested loops**: Removed the O(n²) bubble sort algorithm that performs redundant comparisons and swaps
- **Leveraged Timsort**: Python's `sort()` uses Timsort, a highly optimized hybrid stable sorting algorithm that runs in O(n log n) time
- **Removed manual swapping**: Eliminated the three-line temporary variable swap with optimized internal operations

**Why This Is Faster:**
The original bubble sort performs ~75M operations for 1000 elements (nested loops with comparisons and swaps), while Timsort performs ~10K operations. The line profiler shows the nested loops consumed 87% of execution time, with 75M hits on the inner loop alone.

**Performance Characteristics:**
- **Small arrays (≤10 elements)**: 15-65% faster due to reduced overhead
- **Large arrays (1000 elements)**: 40,000-98,000% faster, as bubble sort's O(n²) complexity becomes prohibitive
- **Already sorted data**: Timsort's adaptive nature provides exceptional performance (98,000%+ speedup)
- **String/float data**: Maintains strong performance across all data types

The optimization maintains identical behavior (in-place sorting, same output) while transforming an academic algorithm into production-ready code.

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()
     print(f"result: {arr}")
     return arr