
from __future__ import annotations

import sys




def 				__magic_name__				(     __lowerCAmelCase			:		int							)    ->     int:
				if n < 0:
								raise ValueError('''Negative arguments are not supported'''							)
				return _fib(__lowerCAmelCase							)[0]




def 				__magic_name__				(     __lowerCAmelCase			:		int							)    ->     tuple[int, int]:
				if n == 0:  # (F(0), F(1))
								return (0, 1)

				# F(2n) = F(n)[2F(n+1) − F(n)]
				# F(2n+1) = F(n+1)^2+F(n)^2
				__lowerCamelCase      ,					__lowerCamelCase					      =			_fib(n // 2							)
				__lowerCamelCase					      =			a * (b * 2 - a)
				__lowerCamelCase					      =			a * a + b * b
				return (d, c + d) if n % 2 else (c, d)


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE__     :    Tuple      							=					int(sys.argv[1])
					print(F'fibonacci({n}) is {fibonacci(n)}')





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

from ..bert.test_tokenization_bert import BertTokenizationTest

@require_tokenizers
class      lowerCAmelCase__  (			__lowercase    ):
		a__ :		Any   						=	SqueezeBertTokenizer
		a__ :		Union[str, Any]   						=	SqueezeBertTokenizerFast
		a__ :		int   						=	True






		def 				__A (	self	:							Optional[int]							,    **SCREAMING_SNAKE_CASE__	:							Union[str, Any]						)  ->							int:
						return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname							,    **SCREAMING_SNAKE_CASE__						)







		@slow
		def 				__A (	self	:							int						)  ->							Optional[int]:
						__lowerCamelCase					      =			SqueezeBertTokenizer.from_pretrained('''squeezebert/squeezebert-mnli-headless'''						)

						__lowerCamelCase					      =			tokenizer.encode('''sequence builders'''							,    add_special_tokens=SCREAMING_SNAKE_CASE__						)
						__lowerCamelCase					      =			tokenizer.encode('''multi-sequence build'''							,    add_special_tokens=SCREAMING_SNAKE_CASE__						)

						__lowerCamelCase					      =			tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__						)
						__lowerCamelCase					      =			tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__						)

						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
						]



