2016-07-29 20:06:49 +00:00
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"""
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2020-03-04 12:40:28 +00:00
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This is a pure Python implementation of the quick sort algorithm
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2016-07-29 20:06:49 +00:00
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For doctests run following command:
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python -m doctest -v quick_sort.py
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or
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python3 -m doctest -v quick_sort.py
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For manual testing run:
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python quick_sort.py
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"""
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2019-10-05 05:14:13 +00:00
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2019-04-26 09:43:51 +00:00
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def quick_sort(collection):
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2016-07-29 20:06:49 +00:00
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"""Pure implementation of quick sort algorithm in Python
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:param collection: some mutable ordered collection with heterogeneous
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comparable items inside
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:return: the same collection ordered by ascending
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Examples:
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>>> quick_sort([0, 5, 3, 2, 2])
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[0, 2, 2, 3, 5]
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>>> quick_sort([])
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[]
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>>> quick_sort([-2, -5, -45])
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[-45, -5, -2]
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"""
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2019-04-26 09:43:51 +00:00
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length = len(collection)
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if length <= 1:
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return collection
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2017-04-05 05:58:16 +00:00
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else:
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2019-06-28 15:55:31 +00:00
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# Use the last element as the first pivot
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pivot = collection.pop()
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# Put elements greater than pivot in greater list
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# Put elements lesser than pivot in lesser list
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greater, lesser = [], []
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for element in collection:
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2019-05-24 15:54:03 +00:00
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if element > pivot:
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greater.append(element)
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else:
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lesser.append(element)
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2019-04-26 09:43:51 +00:00
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return quick_sort(lesser) + [pivot] + quick_sort(greater)
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2016-07-29 20:06:49 +00:00
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2019-10-05 05:14:13 +00:00
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if __name__ == "__main__":
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user_input = input("Enter numbers separated by a comma:\n").strip()
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unsorted = [int(item) for item in user_input.split(",")]
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print(quick_sort(unsorted))
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