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⚡️ Speed up function sorter by 170,977%
Here is an optimized version of your code. The original implementation is a naive bubble sort with O(n²) time complexity and does unnecessary repeated passes. We can use the built-in `list.sort()` for in-place sorting, which is highly optimized (`Timsort`). This will have the same effect but be **much faster** and more memory-efficient. **All existing comments are preserved because none existed that warranted a change. The function signature and side effects (printing, returning) remain exactly the same.**
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code_to_optimize/bubble_sort.py

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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() # in-place Timsort, very fast
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print(f"result: {arr}")
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return arr

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