


'''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					:				Tuple									=		True
except (ImportError, AttributeError):
							__SCREAMING_SNAKE_CASE					:				Optional[int]									=		object







							def       a_				(	*UpperCamelCase_						,  **UpperCamelCase_ ):
														pass







							__SCREAMING_SNAKE_CASE					:				Optional[Any]									=		False


__SCREAMING_SNAKE_CASE					:				Union[str, Any]									=		logging.get_logger('''transformers-cli/serving''')







def       a_				(	UpperCamelCase_ ):
							A_			    =		pipeline(
							    task=args.task						,  model=args.model if args.model else None						,  config=args.config						,  tokenizer=args.tokenizer						,  device=args.device						,  )
							return ServeCommand(UpperCamelCase_						,  args.host						,  args.port						,  args.workers )






class 					__lowerCAmelCase   (   lowercase						):

						"""simple docstring"""






						_UpperCAmelCase		:       dict






class 					__lowerCAmelCase   (   lowercase						):

						"""simple docstring"""






						_UpperCAmelCase		:       List[str]
						_UpperCAmelCase		:       Optional[List[int]]






class 					__lowerCAmelCase   (   lowercase						):

						"""simple docstring"""






						_UpperCAmelCase		:       str






class 					__lowerCAmelCase   (   lowercase						):

						"""simple docstring"""






						_UpperCAmelCase		:       Any






class 					__lowerCAmelCase   (   lowercase						):

						"""simple docstring"""






						@staticmethod
						def 				_UpperCAmelCase       (  lowerCAmelCase							:      ArgumentParser	):
													A_			    =		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=88_88 ,  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							:      Union[str, Any] ,  lowerCAmelCase							:      Pipeline ,  lowerCAmelCase							:      str ,  lowerCAmelCase							:      int ,  lowerCAmelCase							:      int	):
													A_			    =		pipeline

													A_			    =		host
													A_			    =		port
													A_			    =		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_			    =		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=6_00 ,  )






						def 				_UpperCAmelCase       (  self							:      List[Any]	):
													run(self._app ,  host=self.host ,  port=self.port ,  workers=self.workers	)






						def 				_UpperCAmelCase       (  self							:      Optional[Any]	):
													return ServeModelInfoResult(infos=vars(self._pipeline.model.config	)	)






						def 				_UpperCAmelCase       (  self							:      List[str] ,  lowerCAmelCase							:      str = Body(lowerCAmelCase ,  embed=lowerCAmelCase	) ,  lowerCAmelCase							:      bool = Body(lowerCAmelCase ,  embed=lowerCAmelCase	)	):
													try:
																				A_			    =		self._pipeline.tokenizer.tokenize(lowerCAmelCase	)

																				if return_ids:
																											A_			    =		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=5_00 ,  detail={"model": "", "error": str(lowerCAmelCase	)}	)






						def 				_UpperCAmelCase       (  self							:      Optional[int] ,  lowerCAmelCase							:      List[int] = Body(lowerCAmelCase ,  embed=lowerCAmelCase	) ,  lowerCAmelCase							:      bool = Body(lowerCAmelCase ,  embed=lowerCAmelCase	) ,  lowerCAmelCase							:      bool = Body(lowerCAmelCase ,  embed=lowerCAmelCase	) ,  ):
													try:
																				A_			    =		self._pipeline.tokenizer.decode(lowerCAmelCase ,  lowerCAmelCase ,  lowerCAmelCase	)
																				return ServeDeTokenizeResult(model="" ,  text=lowerCAmelCase	)
													except Exception as e:
																				raise HTTPException(status_code=5_00 ,  detail={"model": "", "error": str(lowerCAmelCase	)}	)






						async def 				_UpperCAmelCase       (  self							:      str ,  lowerCAmelCase							:      Any=Body(lowerCAmelCase ,  embed=lowerCAmelCase	)	):

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

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









'''simple docstring'''
__SCREAMING_SNAKE_CASE					:				Optional[int]									=		{
    '''a''': '''AAAAA''',
    '''b''': '''AAAAB''',
    '''c''': '''AAABA''',
    '''d''': '''AAABB''',
    '''e''': '''AABAA''',
    '''f''': '''AABAB''',
    '''g''': '''AABBA''',
    '''h''': '''AABBB''',
    '''i''': '''ABAAA''',
    '''j''': '''BBBAA''',
    '''k''': '''ABAAB''',
    '''l''': '''ABABA''',
    '''m''': '''ABABB''',
    '''n''': '''ABBAA''',
    '''o''': '''ABBAB''',
    '''p''': '''ABBBA''',
    '''q''': '''ABBBB''',
    '''r''': '''BAAAA''',
    '''s''': '''BAAAB''',
    '''t''': '''BAABA''',
    '''u''': '''BAABB''',
    '''v''': '''BBBAB''',
    '''w''': '''BABAA''',
    '''x''': '''BABAB''',
    '''y''': '''BABBA''',
    '''z''': '''BABBB''',
    ''' ''': ''' ''',
}


__SCREAMING_SNAKE_CASE					:				Tuple									=		{value: key for key, value in encode_dict.items()}







def       a_				(	UpperCamelCase_ ):
							A_			    =		""
							for letter in word.lower():
														if letter.isalpha() or letter == " ":
																					encoded += encode_dict[letter]
														else:
																					raise Exception("encode() accepts only letters of the alphabet and spaces" )
							return encoded







def       a_				(	UpperCamelCase_ ):
							if set(UpperCamelCase_ ) - {"A", "B", " "} != set():
														raise Exception("decode() accepts only 'A', 'B' and spaces" )
							A_			    =		""
							for word in coded.split():
														while len(UpperCamelCase_ ) != 0:
																					decoded += decode_dict[word[:5]]
																					A_			    =		word[5:]
														decoded += " "
							return decoded.strip()


if __name__ == "__main__":
							from doctest import testmod

							testmod()





