
from itertools import count


def     UpperCAmelCase_  (						__lowerCAmelCase = 50	) ->						Any:
    __lowercase		:			Dict	    =       [1] * min_block_length

    for n in count(_snake_case	):
        fill_count_functions.append(1	)

        for block_length in range(_snake_case	,					n + 1	):
            for block_start in range(n - block_length	):
                fill_count_functions[n] += fill_count_functions[
                    n - block_start - block_length - 1
                ]

            fill_count_functions[n] += 1

        if fill_count_functions[n] > 1_000_000:
            break

    return n


if __name__ == "__main__":
 print(F'{solution() = }')




__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",
}


