
__lowerCAmelCase					:			Optional[int]			      =		0  # The first color of the flag.
__lowerCAmelCase					:			Dict			      =		1  # The second color of the flag.
__lowerCAmelCase					:			Tuple			      =		2  # The third color of the flag.
__lowerCAmelCase					:			List[Any]			      =		(red, white, blue)


def     UpperCAmelCase_  (						__lowerCAmelCase	) ->						list:




    if not sequence:
        return []
    if len(__A	) == 1:
        return list(__A	)
    __lowercase		:			Optional[Any]	    =       0
    __lowercase		:			int	    =       len(__A	) - 1
    __lowercase		:			List[str]	    =       0
    while mid <= high:
        if sequence[mid] == colors[0]:
            __lowercase		:			List[str]	    =       sequence[mid], sequence[low]
            low += 1
            mid += 1
        elif sequence[mid] == colors[1]:
            mid += 1
        elif sequence[mid] == colors[2]:
            __lowercase		:			Union[str, Any]	    =       sequence[high], sequence[mid]
            high -= 1
        else:
            __lowercase		:			str	    =       F'The elements inside the sequence must contains only {colors} values'
            raise ValueError(__A	)
    return sequence


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 __lowerCAmelCase					:			Optional[int]			      =		input("Enter numbers separated by commas:\n").strip()
 __lowerCAmelCase					:			int			      =		[int(item.strip()) for item in user_input.split(",")]
 print(F'{dutch_national_flag_sort(unsorted)}')




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

__lowerCAmelCase					:			Tuple			      =		[{"type": "code", "content": INSTALL_CONTENT}]
__lowerCAmelCase					:			List[Any]			      =		{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}


