


'''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

   A__:    Dict					    =       True
except (ImportError, AttributeError):
   A__:    List[str]					    =       object


   def 	SCREAMING_SNAKE_CASE_					(  *_UpperCAmelCase	:	int    ,**_UpperCAmelCase	:	Dict  )  ->			str:
          pass
   A__:    str					    =       False


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


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	List[Any]  )  ->			List[Any]:
       _a    : Optional[Any]     					=pipeline(
           task=args.task    ,model=args.model if args.model else None    ,config=args.config    ,tokenizer=args.tokenizer    ,device=args.device    ,)
       return ServeCommand(_lowercase    ,args.host    ,args.port    ,args.workers  )







class A__       (						_lowerCAmelCase      ):
      __UpperCamelCase       :  dict







class A__       (						_lowerCAmelCase      ):
      __UpperCamelCase       :  List[str]
      __UpperCamelCase       :  Optional[List[int]]







class A__       (						_lowerCAmelCase      ):
      __UpperCamelCase       :  str







class A__       (						_lowerCAmelCase      ):
      __UpperCamelCase       :  Any







class A__       (						_lowerCAmelCase      ):






      @staticmethod
      def __UpperCAmelCase       ( SCREAMING_SNAKE_CASE			:ArgumentParser	)       ->					Tuple:




             '''simple docstring'''
             _a    : Any     					=parser.add_parser(
                 """serve"""     ,						help="""CLI tool to run inference requests through REST and GraphQL endpoints."""	)
             serve_parser.add_argument(
                 """--task"""     ,						type=SCREAMING_SNAKE_CASE     ,						choices=get_supported_tasks()     ,						help="""The task to run the pipeline on"""     ,						)
             serve_parser.add_argument("""--host"""     ,						type=SCREAMING_SNAKE_CASE     ,						default="""localhost"""     ,						help="""Interface the server will listen on."""	)
             serve_parser.add_argument("""--port"""     ,						type=SCREAMING_SNAKE_CASE     ,						default=8_8_8_8     ,						help="""Port the serving will listen to."""	)
             serve_parser.add_argument("""--workers"""     ,						type=SCREAMING_SNAKE_CASE     ,						default=1     ,						help="""Number of http workers"""	)
             serve_parser.add_argument("""--model"""     ,						type=SCREAMING_SNAKE_CASE     ,						help="""Model's name or path to stored model."""	)
             serve_parser.add_argument("""--config"""     ,						type=SCREAMING_SNAKE_CASE     ,						help="""Model's config name or path to stored model."""	)
             serve_parser.add_argument("""--tokenizer"""     ,						type=SCREAMING_SNAKE_CASE     ,						help="""Tokenizer name to use."""	)
             serve_parser.add_argument(
                 """--device"""     ,						type=SCREAMING_SNAKE_CASE     ,						default=-1     ,						help="""Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)"""     ,						)
             serve_parser.set_defaults(func=SCREAMING_SNAKE_CASE	)






      def __init__( self			:int     ,						SCREAMING_SNAKE_CASE			:Pipeline     ,						SCREAMING_SNAKE_CASE			:str     ,						SCREAMING_SNAKE_CASE			:int     ,						SCREAMING_SNAKE_CASE			:int	)       ->					List[Any]:




             '''simple docstring'''
             _a    : Optional[Any]     					=pipeline

             _a    : Optional[Any]     					=host
             _a    : Optional[Any]     					=port
             _a    : 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}"	)
                    _a    : List[str]     					=FastAPI(
                        routes=[
                            APIRoute(
                                """/"""     ,						self.model_info     ,						response_model=SCREAMING_SNAKE_CASE     ,						response_class=SCREAMING_SNAKE_CASE     ,						methods=["""GET"""]     ,						),
                            APIRoute(
                                """/tokenize"""     ,						self.tokenize     ,						response_model=SCREAMING_SNAKE_CASE     ,						response_class=SCREAMING_SNAKE_CASE     ,						methods=["""POST"""]     ,						),
                            APIRoute(
                                """/detokenize"""     ,						self.detokenize     ,						response_model=SCREAMING_SNAKE_CASE     ,						response_class=SCREAMING_SNAKE_CASE     ,						methods=["""POST"""]     ,						),
                            APIRoute(
                                """/forward"""     ,						self.forward     ,						response_model=SCREAMING_SNAKE_CASE     ,						response_class=SCREAMING_SNAKE_CASE     ,						methods=["""POST"""]     ,						),
                        ]     ,						timeout=6_0_0     ,						)






      def __UpperCAmelCase       ( self			:Optional[Any]	)       ->					Dict:




             '''simple docstring'''
             run(self._app     ,						host=self.host     ,						port=self.port     ,						workers=self.workers	)






      def __UpperCAmelCase       ( self			:Any	)       ->					Any:




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






      def __UpperCAmelCase       ( self			:Tuple     ,						SCREAMING_SNAKE_CASE			:str = Body(SCREAMING_SNAKE_CASE     ,						embed=SCREAMING_SNAKE_CASE	)     ,						SCREAMING_SNAKE_CASE			:bool = Body(SCREAMING_SNAKE_CASE     ,						embed=SCREAMING_SNAKE_CASE	)	)       ->					Union[str, Any]:




             '''simple docstring'''
             try:
                    _a    : Dict     					=self._pipeline.tokenizer.tokenize(SCREAMING_SNAKE_CASE	)

                    if return_ids:
                           _a    : int     					=self._pipeline.tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE	)
                           return ServeTokenizeResult(tokens=SCREAMING_SNAKE_CASE     ,						tokens_ids=SCREAMING_SNAKE_CASE	)
                    else:
                           return ServeTokenizeResult(tokens=SCREAMING_SNAKE_CASE	)

             except Exception as e:
                    raise HTTPException(status_code=5_0_0     ,						detail={"""model""": """""", """error""": str(SCREAMING_SNAKE_CASE	)}	)






      def __UpperCAmelCase       ( self			:Optional[Any]     ,						SCREAMING_SNAKE_CASE			:List[int] = Body(SCREAMING_SNAKE_CASE     ,						embed=SCREAMING_SNAKE_CASE	)     ,						SCREAMING_SNAKE_CASE			:bool = Body(SCREAMING_SNAKE_CASE     ,						embed=SCREAMING_SNAKE_CASE	)     ,						SCREAMING_SNAKE_CASE			:bool = Body(SCREAMING_SNAKE_CASE     ,						embed=SCREAMING_SNAKE_CASE	)     ,						)       ->					Union[str, Any]:




             '''simple docstring'''
             try:
                    _a    : Dict     					=self._pipeline.tokenizer.decode(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE	)
                    return ServeDeTokenizeResult(model=""""""     ,						text=SCREAMING_SNAKE_CASE	)
             except Exception as e:
                    raise HTTPException(status_code=5_0_0     ,						detail={"""model""": """""", """error""": str(SCREAMING_SNAKE_CASE	)}	)






      async def __UpperCAmelCase       ( self			:Dict     ,						SCREAMING_SNAKE_CASE			:Optional[int]=Body(SCREAMING_SNAKE_CASE     ,						embed=SCREAMING_SNAKE_CASE	)	)       ->					Union[str, Any]:




             '''simple docstring'''

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

             try:
                    # Forward through the model
                    _a    : List[str]     					=self._pipeline(SCREAMING_SNAKE_CASE	)
                    return ServeForwardResult(output=SCREAMING_SNAKE_CASE	)
             except Exception as e:
                    raise HTTPException(5_0_0     ,						{"""error""": str(SCREAMING_SNAKE_CASE	)}	)







"""simple docstring"""
from math import factorial
class 				lowerCamelCase  :






					'''simple docstring'''





					def __init__(       self:							Optional[int]						,     snake_case:							Dict						,     snake_case:							int						)   ->	Tuple:
											snake_case_ :List[Any]						=			real
											if isinstance(snake_case						,     snake_case						):
																	snake_case_ :Tuple						=			[1] * rank
											else:
																	snake_case_ :Optional[Any]						=			rank






					def __repr__(       self:							List[str]						)   ->	Tuple:
											return (
											    f"""{self.real}+"""
											    f"""{'+'.join(str(snake_case						)+'E'+str(n+1						)for n,dual in enumerate(self.duals						)						)}"""
											)






					def    lowerCAmelCase_				(       self:							Optional[int]						)   ->	Optional[int]:
											snake_case_ :Any						=			self.duals.copy()
											while cur[-1] == 0:
																	cur.pop(-1						)
											return Dual(self.real						,     snake_case						)






					def __add__(       self:							Optional[int]						,     snake_case:							Dict						)   ->	List[str]:
											if not isinstance(snake_case						,     snake_case						):
																	return Dual(self.real + other						,     self.duals						)
											snake_case_ :List[Any]						=			self.duals.copy()
											snake_case_ :Tuple						=			other.duals.copy()
											if len(snake_case						) > len(snake_case						):
																	o_dual.extend([1] * (len(snake_case						) - len(snake_case						))						)
											elif len(snake_case						) < len(snake_case						):
																	s_dual.extend([1] * (len(snake_case						) - len(snake_case						))						)
											snake_case_ :Dict						=			[]
											for i in range(len(snake_case						)						):
																	new_duals.append(s_dual[i] + o_dual[i]						)
											return Dual(self.real + other.real						,     snake_case						)

					_A		:			str						=     __add__






					def __sub__(       self:							Tuple						,     snake_case:							Union[str, Any]						)   ->	Tuple:
											return self + other * -1






					def __mul__(       self:							str						,     snake_case:							Tuple						)   ->	Optional[Any]:
											if not isinstance(snake_case						,     snake_case						):
																	snake_case_ :Dict						=			[]
																	for i in self.duals:
																							new_duals.append(i * other						)
																	return Dual(self.real * other						,     snake_case						)
											snake_case_ :int						=			[0] * (len(self.duals						) + len(other.duals						) + 1)
											for i, item in enumerate(self.duals						):
																	for j, jtem in enumerate(other.duals						):
																							new_duals[i + j + 1] += item * jtem
											for k in range(len(self.duals						)						):
																	new_duals[k] += self.duals[k] * other.real
											for index in range(len(other.duals						)						):
																	new_duals[index] += other.duals[index] * self.real
											return Dual(self.real * other.real						,     snake_case						)

					_A		:			int						=     __mul__






					def __truediv__(       self:							List[str]						,     snake_case:							List[str]						)   ->	List[str]:
											if not isinstance(snake_case						,     snake_case						):
																	snake_case_ :Optional[Any]						=			[]
																	for i in self.duals:
																							new_duals.append(i / other						)
																	return Dual(self.real / other						,     snake_case						)
											raise ValueError






					def __floordiv__(       self:							int						,     snake_case:							List[Any]						)   ->	Any:
											if not isinstance(snake_case						,     snake_case						):
																	snake_case_ :Optional[int]						=			[]
																	for i in self.duals:
																							new_duals.append(i // other						)
																	return Dual(self.real // other						,     snake_case						)
											raise ValueError






					def __pow__(       self:							Optional[Any]						,     snake_case:							Optional[int]						)   ->	List[Any]:
											if n < 0 or isinstance(snake_case						,     snake_case						):
																	raise ValueError("""power must be a positive integer"""						)
											if n == 0:
																	return 1
											if n == 1:
																	return self
											snake_case_ :str						=			self
											for _ in range(n - 1						):
																	x *= self
											return x

def    A_  (			_lowercase,					_lowercase,					_lowercase	):







						'''simple docstring'''


						if not callable(_lowercase	):
												raise ValueError("""differentiate() requires a function as input for func"""	)
						if not isinstance(_lowercase,					(float, int)	):
												raise ValueError("""differentiate() requires a float as input for position"""	)
						if not isinstance(_lowercase,					_lowercase	):
												raise ValueError("""differentiate() requires an int as input for order"""	)
						snake_case_ :Optional[Any]						=			Dual(_lowercase,					1	)
						snake_case_ :List[Any]						=			func(_lowercase	)
						if order == 0:
												return result.real
						return result.duals[order - 1] * factorial(_lowercase	)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						def    A_  (			_lowercase	):







												'''simple docstring'''


												return y**2 * y**4

						print(differentiate(f, 9, 2))
