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⚡️ Speed up function sorter by 29,075%
Here’s how your program can be **greatly accelerated**. - The original code uses **bubble sort**, which is O(n²) and extremely slow for anything but tiny arrays. - Python provides much faster sort mechanisms (Timsort, O(n log n)), and using the built-in `list.sort()` is **C speed** and memory-efficient (in-place). - Directly sum and return, as you already do. Code comments are retained, as requested. Here’s the optimized code. **Performance:** - Asymptotic improvement from O(n²) to O(n log n). - **No extra memory allocation** (sort in-place). - Maintains your print statements and return as before. Let me know if you want to also preserve the **original array order** or any other subtle behaviour!
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code_to_optimize/bubble_sort.py

Lines changed: 3 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -1,10 +1,6 @@
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def sorter(arr):
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print("codeflash stdout: Sorting list")
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for i in range(len(arr)):
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for j in range(len(arr) - 1):
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if arr[j] > arr[j + 1]:
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temp = arr[j]
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arr[j] = arr[j + 1]
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arr[j + 1] = temp
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arr.sort() # much faster than hand-written bubble sort
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print(f"result: {arr}")
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return arr
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summed_value = sum(arr[:3])
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return arr, summed_value

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