






'''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

     SCREAMING_SNAKE_CASE						=	True
except (ImportError, AttributeError):
     SCREAMING_SNAKE_CASE						=	object


     def 							lowercase_				(    *__A :       int					,      **__A :       List[str]			)       ->      Any:



      """simple docstring"""




      pass





     SCREAMING_SNAKE_CASE						=	False


SCREAMING_SNAKE_CASE						=	logging.get_logger('transformers-cli/serving')


def 							lowercase_				(    __A :       List[Any]			)       ->      str:



 """simple docstring"""




 lowercase					:   str				  =pipeline(
     task=args.task					,      model=args.model if args.model else None					,      config=args.config					,      tokenizer=args.tokenizer					,      device=args.device					,      )
 return ServeCommand(A_					,      args.host					,      args.port					,      args.workers			)
class UpperCAmelCase_					(    _A				):




      """simple docstring"""




      UpperCamelCase_								=			42





class UpperCAmelCase_					(    _A				):




      """simple docstring"""




      UpperCamelCase_								=			42
      UpperCamelCase_								=			42





class UpperCAmelCase_					(    _A				):




      """simple docstring"""




      UpperCamelCase_								=			42





class UpperCAmelCase_					(    _A				):




      """simple docstring"""




      UpperCamelCase_								=			42





class UpperCAmelCase_					(    _A				):




      """simple docstring"""




      @staticmethod
      def 				A__      ( UpperCAmelCase			:		ArgumentParser		)  ->  Union[str, Any]:


       '''simple docstring'''

       lowercase					:   List[str]				  =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			:		Optional[Any]     ,      UpperCAmelCase			:		Pipeline     ,      UpperCAmelCase			:		str     ,      UpperCAmelCase			:		int     ,      UpperCAmelCase			:		int		)  ->  Tuple:


       '''simple docstring'''

       lowercase					:   List[str]				  =pipeline

       lowercase					:   str				  =host
       lowercase					:   Optional[Any]				  =port
       lowercase					:   Optional[Any]				  =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}'		)
        lowercase					:   Optional[Any]				  =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 				A__      ( self			:		Tuple		)  ->  str:


       '''simple docstring'''

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






      def 				A__      ( self			:		int		)  ->  List[Any]:


       '''simple docstring'''

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






      def 				A__      ( self			:		List[Any]     ,      UpperCAmelCase			:		str = Body(UpperCamelCase__     ,      embed=UpperCamelCase__		)     ,      UpperCAmelCase			:		bool = Body(UpperCamelCase__     ,      embed=UpperCamelCase__		)		)  ->  int:


       '''simple docstring'''

       try:
        lowercase					:   List[str]				  =self._pipeline.tokenizer.tokenize(UpperCamelCase__		)

        if return_ids:
         lowercase					:   Optional[int]				  =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 				A__      ( self			:		List[Any]     ,      UpperCAmelCase			:		List[int] = Body(UpperCamelCase__     ,      embed=UpperCamelCase__		)     ,      UpperCAmelCase			:		bool = Body(UpperCamelCase__     ,      embed=UpperCamelCase__		)     ,      UpperCAmelCase			:		bool = Body(UpperCamelCase__     ,      embed=UpperCamelCase__		)     ,      )  ->  List[Any]:


       '''simple docstring'''

       try:
        lowercase					:   str				  =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 				A__      ( self			:		List[str]     ,      UpperCAmelCase			:		Optional[Any]=Body(UpperCamelCase__     ,      embed=UpperCamelCase__		)		)  ->  Dict:


       '''simple docstring'''

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

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











'''simple docstring'''



from __future__ import annotations

import math


def 							lowercase_				(    __A :       float					,      __A :       int			)       ->      float:



 """simple docstring"""




 lowercase					:   str				  =u
 for i in range(1					,      __A			):
  lowercase					:   Any				  =temp * (u - i)
 return temp


def 							lowercase_				(    )       ->      None:



 """simple docstring"""




 lowercase					:   List[str]				  =int(input('''enter the numbers of values: '''			)			)
 lowercase					:   list[list[float]]				  =[]
 for _ in range(__A			):
  y.append([]			)
 for i in range(__A			):
  for j in range(__A			):
   y[i].append(__A			)
   lowercase					:   List[Any]				  =0

 print('''enter the values of parameters in a list: '''			)
 lowercase					:   Optional[int]				  =list(map(__A					,      input().split()			)			)

 print('''enter the values of corresponding parameters: '''			)
 for i in range(__A			):
  lowercase					:   str				  =float(input()			)

 lowercase					:   int				  =int(input('''enter the value to interpolate: '''			)			)
 lowercase					:   Union[str, Any]				  =(value - x[0]) / (x[1] - x[0])

 # for calculating forward difference table

 for i in range(1					,      __A			):
  for j in range(n - i			):
   lowercase					:   str				  =y[j + 1][i - 1] - y[j][i - 1]

 lowercase					:   Any				  =y[0][0]
 for i in range(1					,      __A			):
  summ += (ucal(__A					,      __A			) * y[0][i]) / math.factorial(__A			)

 print(F'the value at {value} is {summ}'			)


if __name__ == "__main__":
      main()



