⚡️ Speed up function sorter by 83%

Here’s a much faster rewritten version of your program. Your original implementation is a classic **bubble sort** (O(n²)) with redundant passes and repeated calls to `len(arr)`. The program can be made significantly faster by.

- Using Python's built-in `sort()`, which uses Timsort (O(n log n)).
- Alternatively, if you wish to keep the explicit algorithm, using an optimized Bubble Sort that stops when the list is already sorted, and reduces the inner loop length by each completed pass.
- Reducing repeated attribute lookups (e.g., store `len(arr)` once).
- Removing unnecessary data swaps (`temp`) by using Python tuple assignment.

The **fastest** you can get is with the built-in sort, but if you must use your own loop (since you want the print statements to output the same way and avoid return value changes), here are both options. 

---  
**Option 1: Fastest Built-in Sort**  


---

**Option 2: Optimized Bubble Sort (if custom algorithm is required)**  


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**Explanation of the optimization:**
- `arr.sort()` leverages Python's Timsort, which is much faster and memory-efficient for almost all practical purposes.
- For the manual method, reducing passes and skipping redundant comparisons makes it much faster (`O(n²)` worst, `O(n)` best).
- Early exit if no swaps (already sorted).
- Reduced function overhead and Python list indexing looks.

*Both options retain exactly the print outputs and function return of the original. Use Option 1 unless your requirements specifically forbid `sort()`.*

Author: codeflash-ai[bot]

code_to_optimize/bubble_sort.py

@@ -1,10 +1,14 @@
 def sorter(arr):
     print("codeflash stdout: Sorting list")
-    for i in range(len(arr)):
-        for j in range(len(arr) - 1):
+    n = len(arr)
+    for i in range(n):
+        swapped = False
+        # Reduce inner loop to skip already sorted tail
+        for j in range(n - i - 1):
             if arr[j] > arr[j + 1]:
-                temp = arr[j]
-                arr[j] = arr[j + 1]
-                arr[j + 1] = temp
+                arr[j], arr[j + 1] = arr[j + 1], arr[j]  # Faster Pythonic swap
+                swapped = True
+        if not swapped:
+            break  # Stop if sorted
     print(f"result: {arr}")
     return arr