





'''simple docstring'''

from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional

from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand


try:
   from fastapi import Body, FastAPI, HTTPException
   from fastapi.routing import APIRoute
   from pydantic import BaseModel
   from starlette.responses import JSONResponse
   from uvicorn import run

   UpperCAmelCase					:		Union[str, Any]		=							True
except (ImportError, AttributeError):
   UpperCAmelCase					:		Optional[Any]		=							object




   def    _a    (							*lowerCAmelCase_			,      **lowerCAmelCase_	):





         """simple docstring"""



         pass
   UpperCAmelCase					:		Optional[int]		=							False


UpperCAmelCase					:		Tuple		=							logging.get_logger('transformers-cli/serving')




def    _a    (							lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	Any					     =     pipeline(
          task=args.task			,      model=args.model if args.model else None			,      config=args.config			,      tokenizer=args.tokenizer			,      device=args.device			,      )
      return ServeCommand(_lowerCAmelCase			,      args.host			,      args.port			,      args.workers	)





class lowerCamelCase						(a__					):
  _lowercase  :	Optional[int]       					=				42





class lowerCamelCase						(a__					):
  _lowercase  :	List[str]       					=				42
  _lowercase  :	Tuple       					=				42





class lowerCamelCase						(a__					):
  _lowercase  :	Tuple       					=				42





class lowerCamelCase						(a__					):
  _lowercase  :	int       					=				42





class lowerCamelCase						(a__					):







  @staticmethod
  def 				UpperCAmelCase_				(		lowercase__		)		->						Dict:






        """simple docstring"""





        _snake_case		:	int					     =     parser.add_parser(
            '''serve'''     ,     help='''CLI tool to run inference requests through REST and GraphQL endpoints.'''		)
        serve_parser.add_argument(
            '''--task'''     ,     type=__A     ,     choices=get_supported_tasks()     ,     help='''The task to run the pipeline on'''     ,     )
        serve_parser.add_argument('''--host'''     ,     type=__A     ,     default='''localhost'''     ,     help='''Interface the server will listen on.'''		)
        serve_parser.add_argument('''--port'''     ,     type=__A     ,     default=8_888     ,     help='''Port the serving will listen to.'''		)
        serve_parser.add_argument('''--workers'''     ,     type=__A     ,     default=1     ,     help='''Number of http workers'''		)
        serve_parser.add_argument('''--model'''     ,     type=__A     ,     help='''Model\'s name or path to stored model.'''		)
        serve_parser.add_argument('''--config'''     ,     type=__A     ,     help='''Model\'s config name or path to stored model.'''		)
        serve_parser.add_argument('''--tokenizer'''     ,     type=__A     ,     help='''Tokenizer name to use.'''		)
        serve_parser.add_argument(
            '''--device'''     ,     type=__A     ,     default=-1     ,     help='''Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)'''     ,     )
        serve_parser.set_defaults(func=__A		)







  def __init__(		self     ,     lowercase__     ,     lowercase__     ,     lowercase__     ,     lowercase__		)		->						Optional[Any]:






        """simple docstring"""





        _snake_case		:	Tuple					     =     pipeline

        _snake_case		:	str					     =     host
        _snake_case		:	List[str]					     =     port
        _snake_case		:	Tuple					     =     workers

        if not _serve_dependencies_installed:
              raise RuntimeError(
                  '''Using serve command requires FastAPI and uvicorn. '''
                  '''Please install transformers with [serving]: pip install \"transformers[serving]\".'''
                  '''Or install FastAPI and uvicorn separately.'''		)
        else:
              logger.info(F'''Serving model over {host}:{port}'''		)
              _snake_case		:	Optional[int]					     =     FastAPI(
                  routes=[
                      APIRoute(
                          '''/'''     ,     self.model_info     ,     response_model=__A     ,     response_class=__A     ,     methods=['''GET''']     ,     ),
                      APIRoute(
                          '''/tokenize'''     ,     self.tokenize     ,     response_model=__A     ,     response_class=__A     ,     methods=['''POST''']     ,     ),
                      APIRoute(
                          '''/detokenize'''     ,     self.detokenize     ,     response_model=__A     ,     response_class=__A     ,     methods=['''POST''']     ,     ),
                      APIRoute(
                          '''/forward'''     ,     self.forward     ,     response_model=__A     ,     response_class=__A     ,     methods=['''POST''']     ,     ),
                  ]     ,     timeout=600     ,     )







  def 				UpperCAmelCase_				(		self		)		->						Union[str, Any]:






        """simple docstring"""





        run(self._app     ,     host=self.host     ,     port=self.port     ,     workers=self.workers		)







  def 				UpperCAmelCase_				(		self		)		->						Union[str, Any]:






        """simple docstring"""





        return ServeModelInfoResult(infos=vars(self._pipeline.model.config		)		)







  def 				UpperCAmelCase_				(		self     ,     lowercase__ = Body(__A     ,     embed=__A		)     ,     lowercase__ = Body(__A     ,     embed=__A		)		)		->						int:






        """simple docstring"""





        try:
              _snake_case		:	Tuple					     =     self._pipeline.tokenizer.tokenize(__A		)

              if return_ids:
                    _snake_case		:	Dict					     =     self._pipeline.tokenizer.convert_tokens_to_ids(__A		)
                    return ServeTokenizeResult(tokens=__A     ,     tokens_ids=__A		)
              else:
                    return ServeTokenizeResult(tokens=__A		)

        except Exception as e:
              raise HTTPException(status_code=500     ,     detail={'''model''': '''''', '''error''': str(__A		)}		)







  def 				UpperCAmelCase_				(		self     ,     lowercase__ = Body(__A     ,     embed=__A		)     ,     lowercase__ = Body(__A     ,     embed=__A		)     ,     lowercase__ = Body(__A     ,     embed=__A		)     ,     )		->						Tuple:






        """simple docstring"""





        try:
              _snake_case		:	List[str]					     =     self._pipeline.tokenizer.decode(__A     ,     __A     ,     __A		)
              return ServeDeTokenizeResult(model=''''''     ,     text=__A		)
        except Exception as e:
              raise HTTPException(status_code=500     ,     detail={'''model''': '''''', '''error''': str(__A		)}		)







  async def 				UpperCAmelCase_				(		self     ,     lowercase__=Body(__A     ,     embed=__A		)		)		->						Any:






        """simple docstring"""





        if len(__A		) == 0:
              return ServeForwardResult(output=[]     ,     attention=[]		)

        try:
              # Forward through the model
              _snake_case		:	Tuple					     =     self._pipeline(__A		)
              return ServeForwardResult(output=__A		)
        except Exception as e:
              raise HTTPException(500     ,     {'''error''': str(__A		)}		)









'''simple docstring'''

def    _a    (							lowerCAmelCase_	):





      """simple docstring"""



      if n == 1 or not isinstance(lowerCAmelCase_			,      lowerCAmelCase_	):
            return 0
      elif n == 2:
            return 1
      else:
            _snake_case		:	Union[str, Any]					     =     [0, 1]
            for i in range(2			,      n + 1	):
                  sequence.append(sequence[i - 1] + sequence[i - 2]	)

            return sequence[n]




def    _a    (							lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	Optional[int]					     =     0
      _snake_case		:	int					     =     2

      while digits < n:
            index += 1
            _snake_case		:	Tuple					     =     len(str(fibonacci(lowerCAmelCase_	)	)	)

      return index




def    _a    (							lowerCAmelCase_ = 1_000	):





      """simple docstring"""



      return fibonacci_digits_index(lowerCAmelCase_	)


if __name__ == "__main__":
   print(solution(int(str(input()).strip())))


