





'''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

					snake_case_   :				str		=     True
except (ImportError, AttributeError):
					snake_case_   :				Any		=     object





					def 				lowerCamelCase_					(     *SCREAMING_SNAKE_CASE__					:	Tuple,	**SCREAMING_SNAKE_CASE__					:	Optional[Any]      )       ->		Union[str, Any]:
											pass
					snake_case_   :				str		=     False


snake_case_   :				Any		=     logging.get_logger("transformers-cli/serving")





def 				lowerCamelCase_					(     SCREAMING_SNAKE_CASE__					:	Namespace      )       ->		Tuple:
						UpperCAmelCase_	:					Tuple     =     pipeline(
						    task=args.task,	model=args.model if args.model else None,	config=args.config,	tokenizer=args.tokenizer,	device=args.device,	)
						return ServeCommand(_snake_case,	args.host,	args.port,	args.workers      )


class     __a					(__snake_case   ):
							__a    :      str  	=				42





class     __a					(__snake_case   ):
							__a    :      str  	=				42
							__a    :      Dict  	=				42





class     __a					(__snake_case   ):
							__a    :      int  	=				42





class     __a					(__snake_case   ):
							__a    :      List[str]  	=				42





class     __a					(__snake_case   ):

							@staticmethod
							def 			UpperCAmelCase__		(							__magic_name__							:   Tuple      )    ->				Tuple:







													"""simple docstring"""
													UpperCAmelCase_	:					Dict     =     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=88_88				,   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							:   Optional[int]				,   __magic_name__							:   List[str]				,   __magic_name__							:   List[str]				,   __magic_name__							:   Tuple				,   __magic_name__							:   List[Any]      )    ->				List[Any]:







													"""simple docstring"""
													UpperCAmelCase_	:					Union[str, Any]     =     pipeline

													UpperCAmelCase_	:					int     =     host
													UpperCAmelCase_	:					Any     =     port
													UpperCAmelCase_	:					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}"""      )
																			UpperCAmelCase_	:					Dict     =     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=6_00				,   )

							def 			UpperCAmelCase__		(							self							:   Tuple      )    ->				Optional[int]:







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

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







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

							def 			UpperCAmelCase__		(							self							:   Tuple				,   __magic_name__							:   Optional[Any] = Body(a_				,   embed=a_      )				,   __magic_name__							:   Tuple = Body(a_				,   embed=a_      )      )    ->				Optional[Any]:







													"""simple docstring"""

													try:
																			UpperCAmelCase_	:					int     =     self._pipeline.tokenizer.tokenize(a_      )

																			if return_ids:
																									UpperCAmelCase_	:					Union[str, Any]     =     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=5_00				,   detail={'''model''': '''''', '''error''': str(a_      )}      )

							def 			UpperCAmelCase__		(							self							:   List[Any]				,   __magic_name__							:   Optional[Any] = Body(a_				,   embed=a_      )				,   __magic_name__							:   int = Body(a_				,   embed=a_      )				,   __magic_name__							:   Union[str, Any] = Body(a_				,   embed=a_      )				,   )    ->				str:







													"""simple docstring"""

													try:
																			UpperCAmelCase_	:					List[Any]     =     self._pipeline.tokenizer.decode(a_				,   a_				,   a_      )
																			return ServeDeTokenizeResult(model=''''''				,   text=a_      )
													except Exception as e:
																			raise HTTPException(status_code=5_00				,   detail={'''model''': '''''', '''error''': str(a_      )}      )



							async def 			UpperCAmelCase__		(							self							:   str				,   __magic_name__							:   Optional[int]=Body(a_				,   embed=a_      )      )    ->				Tuple:







													"""simple docstring"""

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

													try:
																			# Forward through the model
																			UpperCAmelCase_	:					Dict     =     self._pipeline(a_      )
																			return ServeForwardResult(output=a_      )
													except Exception as e:
																			raise HTTPException(5_00				,   {'''error''': str(a_      )}      )









"""simple docstring"""
def 		lowercase							(     _snake_case						:      int     ,   _snake_case						:      int     )     ->str:
	"""simple docstring"""





	if a < 0 or b < 0:
		raise ValueError('''the value of both inputs must be positive'''     )
	__snake_case	:						Tuple						=				str(bin(_snake_case     )     )[2:]  # remove the leading "0b"
	__snake_case	:						List[Any]						=				str(bin(_snake_case     )     )[2:]
	__snake_case	:						Any						=				max(len(_snake_case     )     ,   len(_snake_case     )     )
	return "0b" + "".join(
	    str(int('''1''' in (char_a, char_b)     )     )
	    for char_a, char_b in zip(a_binary.zfill(_snake_case     )     ,   b_binary.zfill(_snake_case     )     )     )


if __name__ == "__main__":
			import doctest

			doctest.testmod()





