




__SCREAMING_SNAKE_CASE 						="""
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

__SCREAMING_SNAKE_CASE 						=[{"""type""": """code""", """content""": INSTALL_CONTENT}]
__SCREAMING_SNAKE_CASE 						={
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}








from typing import Any

def 			a   (_lowerCAmelCase     ):
							if not input_list:
														return []
							SCREAMING_SNAKE_CASE_   	=    [input_list.count(_lowerCAmelCase     ) for value in input_list]
							SCREAMING_SNAKE_CASE_   	=    max(_lowerCAmelCase     )  # Gets the maximum count in the input list.
							# Gets values of modes
							return sorted({input_list[i] for i, value in enumerate(_lowerCAmelCase     ) if value == y}     )


if __name__ == "__main__":
			import doctest

			doctest.testmod()


