



from __future__ import annotations

import sys
def 	UpperCamelCase			(     snake_case__ :					int			)			->  List[str]:


   if n < 0:
      raise ValueError('Negative arguments are not supported'			)
   return _fib(_A			)[0]
def 	UpperCamelCase			(     snake_case__ :					Dict			)			->  Any:


   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
   UpperCamelCase			,  UpperCamelCase					:						Optional[Any]					=			_fib(n // 2			)
   UpperCamelCase					:						List[str]					=			a * (b * 2 - a)
   UpperCamelCase					:						Optional[int]					=			a * a + b * b
   return (d, c + d) if n % 2 else (c, d)


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








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


__UpperCAmelCase      = logging.get_logger(__name__)

__UpperCAmelCase      = {
    '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json''',
}



class        lowerCAmelCase_	(						a__							):
       UpperCAmelCase__       :      Union[str, Any]       =						"mpnet"
       def __init__(    self,    SCREAMING_SNAKE_CASE_=3_0527,    SCREAMING_SNAKE_CASE_=768,    SCREAMING_SNAKE_CASE_=12,    SCREAMING_SNAKE_CASE_=12,    SCREAMING_SNAKE_CASE_=3072,    SCREAMING_SNAKE_CASE_="gelu",    SCREAMING_SNAKE_CASE_=0.1,    SCREAMING_SNAKE_CASE_=0.1,    SCREAMING_SNAKE_CASE_=512,    SCREAMING_SNAKE_CASE_=0.02,    SCREAMING_SNAKE_CASE_=1e-12,    SCREAMING_SNAKE_CASE_=32,    SCREAMING_SNAKE_CASE_=1,    SCREAMING_SNAKE_CASE_=0,    SCREAMING_SNAKE_CASE_=2,    **SCREAMING_SNAKE_CASE_,    )  ->	Optional[int]:
          super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_,    bos_token_id=SCREAMING_SNAKE_CASE_,    eos_token_id=SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_ )

          UpperCamelCase					:						Any					=			vocab_size
          UpperCamelCase					:						Optional[Any]					=			hidden_size
          UpperCamelCase					:						Union[str, Any]					=			num_hidden_layers
          UpperCamelCase					:						Optional[int]					=			num_attention_heads
          UpperCamelCase					:						Optional[Any]					=			hidden_act
          UpperCamelCase					:						str					=			intermediate_size
          UpperCamelCase					:						Optional[Any]					=			hidden_dropout_prob
          UpperCamelCase					:						Union[str, Any]					=			attention_probs_dropout_prob
          UpperCamelCase					:						List[Any]					=			max_position_embeddings
          UpperCamelCase					:						Union[str, Any]					=			initializer_range
          UpperCamelCase					:						List[str]					=			layer_norm_eps
          UpperCamelCase					:						str					=			relative_attention_num_buckets



