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def mode(input_list: list) -> list: # Defining function "mode."

"""This function returns the mode(Mode as in the measures of

central tendency) of the input data.

The input list may contain any Datastructure or any Datatype.

>>> input_list = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]

>>> mode(input_list)

[2]

>>> input_list = [3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 2, 2, 2]

>>> mode(input_list)

[2]

>>> input_list = [3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 4, 2, 2, 4, 2]

>>> mode(input_list)

[2, 4]

>>> input_list = ["x", "y", "y", "z"]

>>> mode(input_list)

['y']

>>> input_list = ["x", "x" , "y", "y", "z"]

>>> mode(input_list)

['x', 'y']

"""

result = list() # Empty list to store the counts of elements in input_list

for x in input_list:

result.append(input_list.count(x))

if not result:

return []

y = max(result) # Gets the maximum value in the result list.

# Gets values of modes

result = {input_list[i] for i, value in enumerate(result) if value == y}

return sorted(result)

if __name__ == "__main__":

import doctest

doctest.testmod()