





'''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

      __lowerCamelCase						: List[Any]		=   True
except (ImportError, AttributeError):
      __lowerCamelCase						: List[Any]		=   object


      def 					_a   (*__SCREAMING_SNAKE_CASE  ,      **__SCREAMING_SNAKE_CASE   ):


        """simple docstring"""

        pass
      __lowerCamelCase						: Optional[int]		=   False


__lowerCamelCase						: int		=   logging.get_logger('transformers-cli/serving')


def 					_a   (__SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			=pipeline(
      task=args.task  ,      model=args.model if args.model else None  ,      config=args.config  ,      tokenizer=args.tokenizer  ,      device=args.device  ,      )
  return ServeCommand(__SCREAMING_SNAKE_CASE  ,      args.host  ,      args.port  ,      args.workers   )







class 		UpperCAmelCase   (				lowercase_):


  """simple docstring"""







  lowerCAmelCase_					=				42







class 		UpperCAmelCase   (				lowercase_):


  """simple docstring"""







  lowerCAmelCase_					=				42
  lowerCAmelCase_					=				42







class 		UpperCAmelCase   (				lowercase_):


  """simple docstring"""







  lowerCAmelCase_					=				42







class 		UpperCAmelCase   (				lowercase_):


  """simple docstring"""







  lowerCAmelCase_					=				42







class 		UpperCAmelCase   (				lowercase_):


  """simple docstring"""







  @staticmethod
  def   UpperCamelCase__      (				UpperCamelCase__    :					ArgumentParser  )     ->						List[Any]:
    _UpperCamelCase       			=parser.add_parser(
        '''serve'''							,	help='''CLI tool to run inference requests through REST and GraphQL endpoints.'''  )
    serve_parser.add_argument(
        '''--task'''							,	type=UpperCamelCase__							,	choices=get_supported_tasks()							,	help='''The task to run the pipeline on'''							,	)
    serve_parser.add_argument('''--host'''							,	type=UpperCamelCase__							,	default='''localhost'''							,	help='''Interface the server will listen on.'''  )
    serve_parser.add_argument('''--port'''							,	type=UpperCamelCase__							,	default=8888							,	help='''Port the serving will listen to.'''  )
    serve_parser.add_argument('''--workers'''							,	type=UpperCamelCase__							,	default=1							,	help='''Number of http workers'''  )
    serve_parser.add_argument('''--model'''							,	type=UpperCamelCase__							,	help='''Model\'s name or path to stored model.'''  )
    serve_parser.add_argument('''--config'''							,	type=UpperCamelCase__							,	help='''Model\'s config name or path to stored model.'''  )
    serve_parser.add_argument('''--tokenizer'''							,	type=UpperCamelCase__							,	help='''Tokenizer name to use.'''  )
    serve_parser.add_argument(
        '''--device'''							,	type=UpperCamelCase__							,	default=-1							,	help='''Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)'''							,	)
    serve_parser.set_defaults(func=UpperCamelCase__  )


  def __init__(				self    :					str							,	UpperCamelCase__    :					Pipeline							,	UpperCamelCase__    :					str							,	UpperCamelCase__    :					int							,	UpperCamelCase__    :					int  )     ->						Optional[Any]:
    _UpperCamelCase       			=pipeline

    _UpperCamelCase       			=host
    _UpperCamelCase       			=port
    _UpperCamelCase       			=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}'''  )
      _UpperCamelCase       			=FastAPI(
          routes=[
              APIRoute(
                  '''/'''							,	self.model_info							,	response_model=UpperCamelCase__							,	response_class=UpperCamelCase__							,	methods=['''GET''']							,	),
              APIRoute(
                  '''/tokenize'''							,	self.tokenize							,	response_model=UpperCamelCase__							,	response_class=UpperCamelCase__							,	methods=['''POST''']							,	),
              APIRoute(
                  '''/detokenize'''							,	self.detokenize							,	response_model=UpperCamelCase__							,	response_class=UpperCamelCase__							,	methods=['''POST''']							,	),
              APIRoute(
                  '''/forward'''							,	self.forward							,	response_model=UpperCamelCase__							,	response_class=UpperCamelCase__							,	methods=['''POST''']							,	),
          ]							,	timeout=600							,	)


  def   UpperCamelCase__      (				self    :					int  )     ->						Dict:
    run(self._app							,	host=self.host							,	port=self.port							,	workers=self.workers  )


  def   UpperCamelCase__      (				self    :					Tuple  )     ->						Optional[int]:
    return ServeModelInfoResult(infos=vars(self._pipeline.model.config  )  )


  def   UpperCamelCase__      (				self    :					Optional[int]							,	UpperCamelCase__    :					str = Body(UpperCamelCase__							,	embed=UpperCamelCase__  )							,	UpperCamelCase__    :					bool = Body(UpperCamelCase__							,	embed=UpperCamelCase__  )  )     ->						Dict:
    try:
      _UpperCamelCase       			=self._pipeline.tokenizer.tokenize(UpperCamelCase__  )

      if return_ids:
        _UpperCamelCase       			=self._pipeline.tokenizer.convert_tokens_to_ids(UpperCamelCase__  )
        return ServeTokenizeResult(tokens=UpperCamelCase__							,	tokens_ids=UpperCamelCase__  )
      else:
        return ServeTokenizeResult(tokens=UpperCamelCase__  )

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


  def   UpperCamelCase__      (				self    :					List[Any]							,	UpperCamelCase__    :					List[int] = Body(UpperCamelCase__							,	embed=UpperCamelCase__  )							,	UpperCamelCase__    :					bool = Body(UpperCamelCase__							,	embed=UpperCamelCase__  )							,	UpperCamelCase__    :					bool = Body(UpperCamelCase__							,	embed=UpperCamelCase__  )							,	)     ->						List[Any]:
    try:
      _UpperCamelCase       			=self._pipeline.tokenizer.decode(UpperCamelCase__							,	UpperCamelCase__							,	UpperCamelCase__  )
      return ServeDeTokenizeResult(model=''''''							,	text=UpperCamelCase__  )
    except Exception as e:
      raise HTTPException(status_code=500							,	detail={'''model''': '''''', '''error''': str(UpperCamelCase__  )}  )




  async def   UpperCamelCase__      (				self    :					List[str]							,	UpperCamelCase__    :					str=Body(UpperCamelCase__							,	embed=UpperCamelCase__  )  )     ->						List[str]:

    # Check we don't have empty string
    if len(UpperCamelCase__  ) == 0:
      return ServeForwardResult(output=[]							,	attention=[]  )

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













'''simple docstring'''






def 					_a   (__SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  return 1 if digit in (0, 1) else (digit * factorial(digit - 1   ))


def 					_a   (__SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			=0
  _UpperCamelCase       			=number
  while duplicate > 0:
    _UpperCamelCase			,     _UpperCamelCase       			=divmod(__SCREAMING_SNAKE_CASE  ,      10   )
    fact_sum += factorial(__SCREAMING_SNAKE_CASE   )
  return fact_sum == number


if __name__ == "__main__":
      print('Program to check whether a number is a Krisnamurthy Number or not.')
      __lowerCamelCase						: Optional[Any]		=   int(input('Enter number: ').strip())
      print(
          F"""{number} is {'' if krishnamurthy(number) else 'not '}a Krishnamurthy Number."""
      )






