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"""

Python implementation of a sort algorithm.

Best Case Scenario : O(n)

Worst Case Scenario : O(n^2) because native Python functions:min, max and remove are

already O(n)

"""

def merge_sort(collection):

"""Pure implementation of the fastest merge sort algorithm in Python

:param collection: some mutable ordered collection with heterogeneous

comparable items inside

:return: a collection ordered by ascending

Examples:

>>> merge_sort([0, 5, 3, 2, 2])

[0, 2, 2, 3, 5]

>>> merge_sort([])

[]

>>> merge_sort([-2, -5, -45])

[-45, -5, -2]

"""

start, end = [], []

while len(collection) > 1:

min_one, max_one = min(collection), max(collection)

start.append(min_one)

end.append(max_one)

collection.remove(min_one)

collection.remove(max_one)

end.reverse()

return start + collection + end

if __name__ == "__main__":

user_input = input("Enter numbers separated by a comma:\n").strip()

unsorted = [int(item) for item in user_input.split(",")]

print(*merge_sort(unsorted), sep=",")