






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

	lowerCamelCase			:			Dict     =							True
except (ImportError, AttributeError):
	lowerCamelCase			:			Optional[int]     =							object
	def    snake_case_		(  *lowerCAmelCase_							:    Optional[int]							,							**lowerCAmelCase_							:    List[Any]   ):
								pass



	lowerCamelCase			:			str     =							False


lowerCamelCase			:			Dict     =							logging.get_logger('''transformers-cli/serving''')
def    snake_case_		(  lowerCAmelCase_							:    Namespace   ):
							__lowercase   :				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(__snake_case							,							args.host							,							args.port							,							args.workers   )

class 		lowerCAmelCase  (			a_      ):

					'''simple docstring'''

					_A    :      List[Any]					       =   42







class 		lowerCAmelCase  (			a_      ):

					'''simple docstring'''

					_A    :      str					       =   42
					_A    :      Any					       =   42







class 		lowerCAmelCase  (			a_      ):

					'''simple docstring'''

					_A    :      Tuple					       =   42







class 		lowerCAmelCase  (			a_      ):

					'''simple docstring'''

					_A    :      List[str]					       =   42







class 		lowerCAmelCase  (			a_      ):

					'''simple docstring'''

					@staticmethod
					def    lowerCAmelCase					(	__a					:						Any				)      ->	Tuple:


												"""simple docstring"""

												__lowercase   :				str						      =  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=8888		,  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]		,  __a					:						List[Any]		,  __a					:						Any		,  __a					:						List[Any]		,  __a					:						List[str]				)      ->	str:


												"""simple docstring"""

												__lowercase   :				Dict						      =  pipeline

												__lowercase   :				Optional[int]						      =  host
												__lowercase   :				Any						      =  port
												__lowercase   :				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}"				)
																			__lowercase   :				Optional[Any]						      =  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=600		,  )



					def    lowerCAmelCase					(	self					:						str				)      ->	Tuple:


												"""simple docstring"""

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



					def    lowerCAmelCase					(	self					:						List[str]				)      ->	int:


												"""simple docstring"""

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



					def    lowerCAmelCase					(	self					:						Optional[int]		,  __a					:						List[Any] = Body(_a		,  embed=_a				)		,  __a					:						Optional[int] = Body(_a		,  embed=_a				)				)      ->	List[Any]:


												"""simple docstring"""

												try:
																			__lowercase   :				int						      =  self._pipeline.tokenizer.tokenize(_a				)

																			if return_ids:
																										__lowercase   :				int						      =  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=500		,  detail={"""model""": """""", """error""": str(_a				)}				)



					def    lowerCAmelCase					(	self					:						List[str]		,  __a					:						Any = Body(_a		,  embed=_a				)		,  __a					:						List[str] = Body(_a		,  embed=_a				)		,  __a					:						Union[str, Any] = Body(_a		,  embed=_a				)		,  )      ->	Optional[int]:


												"""simple docstring"""

												try:
																			__lowercase   :				Tuple						      =  self._pipeline.tokenizer.decode(_a		,  _a		,  _a				)
																			return ServeDeTokenizeResult(model=""""""		,  text=_a				)
												except Exception as e:
																			raise HTTPException(status_code=500		,  detail={"""model""": """""", """error""": str(_a				)}				)



					async def    lowerCAmelCase					(	self					:						Dict		,  __a					:						int=Body(_a		,  embed=_a				)				)      ->	str:


												"""simple docstring"""

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

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

"""simple docstring"""




def     __magic_name__      ( __snake_case							:			int	,					__snake_case							:			int    )					->							Any:
       if b == 0:
              return 1
       if (b % 2) == 0:
              return actual_power(__snake_case	,					int(b / 2    )    ) * actual_power(__snake_case	,					int(b / 2    )    )
       else:
              return a * actual_power(__snake_case	,					int(b / 2    )    ) * actual_power(__snake_case	,					int(b / 2    )    )


def     __magic_name__      ( __snake_case							:			int	,					__snake_case							:			int    )					->							float:
       if b < 0:
              return 1 / actual_power(__snake_case	,					__snake_case    )
       return actual_power(__snake_case	,					__snake_case    )


if __name__ == "__main__":
   print(power(-2, -3))


