



"""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

		_lowercase				:				Tuple   		=		True
except (ImportError, AttributeError):
		_lowercase				:				Tuple   		=		object






		def   snake_case__     (	*__lowerCamelCase       :					str							,	**__lowerCamelCase       :					Tuple			):
							"""simple docstring"""
							pass

		_lowercase				:				Optional[Any]   		=		False


_lowercase				:				List[str]   		=		logging.get_logger("transformers-cli/serving")






def   snake_case__     (	__lowerCamelCase       :					Namespace			):
					"""simple docstring"""
					lowerCamelCase__	:	Union[str, 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  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





					_a         =							4_2





class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





					_a         =							4_2
					_a         =							4_2





class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





					_a         =							4_2





class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





					_a         =							4_2





class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





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



					def __init__( self							:						Any,						lowerCamelCase							:						Pipeline,						lowerCamelCase							:						str,						lowerCamelCase							:						int,						lowerCamelCase							:						int  )->      Any:
										lowerCamelCase__	:	Dict				=pipeline

										lowerCamelCase__	:	List[Any]				=host
										lowerCamelCase__	:	List[Any]				=port
										lowerCamelCase__	:	Union[str, 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}'''  )
															lowerCamelCase__	:	Union[str, Any]				=FastAPI(
															    routes=[
															        APIRoute(
															            '''/''',						self.model_info,						response_model=lowerCamelCase,						response_class=lowerCamelCase,						methods=['''GET'''],						),
															        APIRoute(
															            '''/tokenize''',						self.tokenize,						response_model=lowerCamelCase,						response_class=lowerCamelCase,						methods=['''POST'''],						),
															        APIRoute(
															            '''/detokenize''',						self.detokenize,						response_model=lowerCamelCase,						response_class=lowerCamelCase,						methods=['''POST'''],						),
															        APIRoute(
															            '''/forward''',						self.forward,						response_model=lowerCamelCase,						response_class=lowerCamelCase,						methods=['''POST'''],						),
															    ],						timeout=600,						)



					def 	snake_case ( self							:						Dict  )->      Union[str, Any]:
										run(self._app,						host=self.host,						port=self.port,						workers=self.workers  )



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



					def 	snake_case ( self							:						int,						lowerCamelCase							:						str = Body(lowerCamelCase,						embed=lowerCamelCase  ),						lowerCamelCase							:						bool = Body(lowerCamelCase,						embed=lowerCamelCase  )  )->      Union[str, Any]:
										try:
															lowerCamelCase__	:	Dict				=self._pipeline.tokenizer.tokenize(lowerCamelCase  )

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

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



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




					async def 	snake_case ( self							:						Union[str, Any],						lowerCamelCase							:						Tuple=Body(lowerCamelCase,						embed=lowerCamelCase  )  )->      Tuple:

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

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









"""simple docstring"""






def   snake_case__     (	__lowerCamelCase       :					list							,	__lowerCamelCase       :					list							,	__lowerCamelCase       :					int							,	__lowerCamelCase       :					int							,	__lowerCamelCase       :					int			):
			"""simple docstring"""
			if index == number_of_items:
						return 0
			lowerCamelCase__	:	Optional[int]				=0
			lowerCamelCase__	:	Union[str, Any]				=0
			lowerCamelCase__	:	List[str]				=knapsack(__lowerCamelCase							,	__lowerCamelCase							,	__lowerCamelCase							,	__lowerCamelCase							,	index + 1			)
			if weights[index] <= max_weight:
						lowerCamelCase__	:	Dict				=values[index] + knapsack(
						    __lowerCamelCase							,	__lowerCamelCase							,	__lowerCamelCase							,	max_weight - weights[index]							,	index + 1			)
			return max(__lowerCamelCase							,	__lowerCamelCase			)


if __name__ == "__main__":
		import doctest

		doctest.testmod()




