class SCREAMING_SNAKE_CASE_		:







			def __init__(    self	:	Dict							):





				"""simple docstring"""


				UpperCamelCase      =			[0, 1]







			def 	lowerCamelCase_  (    self	:	int      ,      lowerCamelCase_	:	int							):





				"""simple docstring"""


				if (difference := index - (len(self.sequence							) - 2)) >= 1:
					for _ in range(lowerCamelCase_							):
						self.sequence.append(self.sequence[-1] + self.sequence[-2]							)
				return self.sequence[:index]





def  lowercase(  )		->  None:







	'''simple docstring'''
	print(
	    """Fibonacci Series Using Dynamic Programming\n"""       ,				"""Enter the index of the Fibonacci number you want to calculate """       ,				"""in the prompt below. (To exit enter exit or Ctrl-C)\n"""       ,				sep=""""""       ,				)
	UpperCamelCase      =			Fibonacci()

	while True:
		UpperCamelCase      =			input(""">> """					)
		if prompt in {"exit", "quit"}:
			break

		try:
			UpperCamelCase      =			int(UpperCamelCase_					)
		except ValueError:
			print("""Enter a number or 'exit'"""					)
			continue

		print(fibonacci.get(UpperCamelCase_					)					)


if __name__ == "__main__":
					main()

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE   		=			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   		=			{
    """tau/splinter-base""": """https://huggingface.co/tau/splinter-base/resolve/main/config.json""",
    """tau/splinter-base-qass""": """https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json""",
    """tau/splinter-large""": """https://huggingface.co/tau/splinter-large/resolve/main/config.json""",
    """tau/splinter-large-qass""": """https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json""",
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}
class SCREAMING_SNAKE_CASE_		(			__lowerCAmelCase		):
   __lowerCAmelCase											=							"""splinter"""







   def __init__(    self	:	List[Any]      ,      lowerCamelCase_	:	int=3_0522      ,      lowerCamelCase_	:	Any=768      ,      lowerCamelCase_	:	List[Any]=12      ,      lowerCamelCase_	:	Tuple=12      ,      lowerCamelCase_	:	Tuple=3072      ,      lowerCamelCase_	:	Any="gelu"      ,      lowerCamelCase_	:	Union[str, Any]=0.1      ,      lowerCamelCase_	:	str=0.1      ,      lowerCamelCase_	:	int=512      ,      lowerCamelCase_	:	List[Any]=2      ,      lowerCamelCase_	:	List[Any]=0.0_2      ,      lowerCamelCase_	:	Dict=1E-12      ,      lowerCamelCase_	:	Tuple=True      ,      lowerCamelCase_	:	str=0      ,      lowerCamelCase_	:	Any=104      ,      **lowerCamelCase_	:	Dict      ,      ):





    """simple docstring"""


    super().__init__(pad_token_id=lowerCamelCase_      ,      **lowerCamelCase_							)

    UpperCamelCase      =			vocab_size
    UpperCamelCase      =			max_position_embeddings
    UpperCamelCase      =			hidden_size
    UpperCamelCase      =			num_hidden_layers
    UpperCamelCase      =			num_attention_heads
    UpperCamelCase      =			intermediate_size
    UpperCamelCase      =			hidden_act
    UpperCamelCase      =			hidden_dropout_prob
    UpperCamelCase      =			attention_probs_dropout_prob
    UpperCamelCase      =			initializer_range
    UpperCamelCase      =			type_vocab_size
    UpperCamelCase      =			layer_norm_eps
    UpperCamelCase      =			use_cache
    UpperCamelCase      =			question_token_id
