




'''simple docstring'''







class    __a :

							def __init__(							self							:       Any				)   ->    None:







													"""simple docstring"""
													UpperCAmelCase_     : Union[str, Any]         =					[0, 1]



							def       UpperCAmelCase__		(							self							:       Tuple    ,       __magic_name__							:       int				)   ->    list:







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





def     lowerCamelCase_ (					)	->		None:
						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_     : int         =					Fibonacci()

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

												try:
																		UpperCAmelCase_     : int         =					int(SCREAMING_SNAKE_CASE__				)
												except ValueError:
																		print('''Enter a number or \'exit\''''				)
																		continue

												print(fibonacci.get(SCREAMING_SNAKE_CASE__				)				)


if __name__ == "__main__":
					main()












'''simple docstring'''







from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest


@require_tokenizers
class    __a (lowerCamelCase       ):
							__a   :				Any       =    SqueezeBertTokenizer
							__a   :				Dict       =    SqueezeBertTokenizerFast
							__a   :				Any       =    True

							def       UpperCAmelCase__		(							self							:       Union[str, Any]    ,       **__magic_name__							:       Dict				)   ->    int:







													"""simple docstring"""
													return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname    ,       **__magic_name__				)



							@slow
							def       UpperCAmelCase__		(							self							:       Union[str, Any]				)   ->    int:







													"""simple docstring"""
													UpperCAmelCase_     : List[str]         =					SqueezeBertTokenizer.from_pretrained('''squeezebert/squeezebert-mnli-headless'''				)

													UpperCAmelCase_     : Any         =					tokenizer.encode('''sequence builders'''    ,       add_special_tokens=__magic_name__				)
													UpperCAmelCase_     : Optional[Any]         =					tokenizer.encode('''multi-sequence build'''    ,       add_special_tokens=__magic_name__				)

													UpperCAmelCase_     : List[Any]         =					tokenizer.build_inputs_with_special_tokens(__magic_name__				)
													UpperCAmelCase_     : Any         =					tokenizer.build_inputs_with_special_tokens(__magic_name__    ,       __magic_name__				)

													assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
													assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
													    tokenizer.sep_token_id
													]





