This function returns the modeMode as in the measures of central tendency of the input data. The input list may contain any Datastructure or any Datatype.  mode2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2 2  mode3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 2, 2, 2 2  mode3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 4, 2, 2, 4, 2 2, 4  modex, y, y, z 'y'  modex, x , y, y, z 'x', 'y' Gets values of modes
from typing import Any


def mode(input_list: list) -> list[Any]:
    """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.

    >>> mode([2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2])
    [2]
    >>> mode([3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 2, 2, 2])
    [2]
    >>> mode([3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 4, 2, 2, 4, 2])
    [2, 4]
    >>> mode(["x", "y", "y", "z"])
    ['y']
    >>> mode(["x", "x" , "y", "y", "z"])
    ['x', 'y']
    """
    if not input_list:
        return []
    result = [input_list.count(value) for value in input_list]
    y = max(result)  # Gets the maximum count in the input list.
    # Gets values of modes
    return sorted({input_list[i] for i, value in enumerate(result) if value == y})


if __name__ == "__main__":
    import doctest

    doctest.testmod()
