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average_mode.py 935 Bytes
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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()
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