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⚡️ Speed up function sorter by 400,759%
The given code sorts a list using a bubble sort algorithm, which has a time complexity of \( O(n^2) \). To improve its performance, we can use the built-in Python sorting function, which uses Timsort and has an average time complexity of \( O(n \log n) \). Here's the optimized version of the program.
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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()
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print(f"result: {arr}")
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return arr

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