






from __future__ import annotations

import sys
def       a__						(  A					):
   if n < 0:
      raise ValueError("""Negative arguments are not supported"""					)
   return _fib(A					)[0]
def       a__						(  A					):
   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
   lowercase__						:	Union[str, Any]         = _fib(n // 2					)
   lowercase__						:	List[str]         = a * (b * 2 - a)
   lowercase__						:	int         = a * a + b * b
   return (d, c + d) if n % 2 else (c, d)


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










from dataclasses import dataclass
from typing import Callable, Optional

import datasets
@dataclass
class        __snake_case(					datasets.BuilderConfig      ):
 lowercase :       Optional[Callable]		      =		None
 lowercase :       Optional[dict]		      =		None
 lowercase :       Optional[datasets.Features]		      =		None



 def 						UpperCAmelCase    (	self   :   int	):

    """simple docstring"""






    assert self.generator is not None, "generator must be specified"

    if self.gen_kwargs is None:
       lowercase__						:	List[Any]         = {}
class        __snake_case(					datasets.GeneratorBasedBuilder      ):
 lowercase :       Dict		      =		GeneratorConfig



 def 						UpperCAmelCase    (	self   :   Any	):

    """simple docstring"""






    return datasets.DatasetInfo(features=self.config.features	)



 def 						UpperCAmelCase    (	self   :   List[str] ,		UpperCAmelCase__   :   Optional[int]	):

    """simple docstring"""






    return [datasets.SplitGenerator(name=datasets.Split.TRAIN ,		gen_kwargs=self.config.gen_kwargs	)]







 def 						UpperCAmelCase    (	self   :   Dict ,		**UpperCAmelCase__   :   List[str]	):

    """simple docstring"""






    for idx, ex in enumerate(self.config.generator(**UpperCAmelCase__	)	):
       yield idx, ex


