⚡️ Speed up function mysorter by 36%

The optimization replaces the manual bubble sort implementation with Python's built-in `arr.sort()` method, resulting in a **35% speedup**.

**Key Changes:**
- Eliminated the nested `for` loops that implemented bubble sort (O(n²) complexity)
- Replaced with `arr.sort()` which uses Timsort algorithm (O(n log n) complexity)
- Removed manual element swapping logic

**Why This Is Faster:**
1. **Algorithm efficiency**: Bubble sort requires O(n²) comparisons and swaps, while Timsort is O(n log n) on average
2. **Native implementation**: Python's `sort()` is implemented in optimized C code, avoiding Python interpreter overhead for the sorting logic
3. **Reduced function calls**: The line profiler shows the original code made 130+ hits across sorting lines, while the optimized version makes only 2 hits to `arr.sort()`

**Performance Impact:**
- Original: 50 microseconds total time with heavy computation in nested loops
- Optimized: 33 microseconds total time with minimal sorting overhead
- The sorting operation itself dropped from ~16 microseconds (multiple loop iterations) to just 2 microseconds

This optimization is particularly effective for larger arrays where the O(n²) vs O(n log n) difference becomes more pronounced, though even small arrays benefit from the native C implementation speed.

Author: codeflash-ai[bot]

codeflash/bubble_sort.py

@@ -1,11 +1,8 @@
 def mysorter(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 built-in sort which is highly optimized
     print(f"result: {arr}")
     return arr
-mysorter([5,4,3,2,1])
+
+
+mysorter([5, 4, 3, 2, 1])