"""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

       __lowerCAmelCase					: Any        =True
except (ImportError, AttributeError):
       __lowerCAmelCase					: Optional[Any]        =object


       def     UpperCAmelCase__ (       *lowerCAmelCase__  :Union[str, Any]      ,	**lowerCAmelCase__  :int	)				->					Dict:
             '''simple docstring'''


             pass






       __lowerCAmelCase					: Optional[Any]        =False


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


def     UpperCAmelCase__ (       lowerCAmelCase__  :Optional[int]	)				->					Tuple:
      '''simple docstring'''


      lowercase														=			pipeline(
          task=args.task      ,	model=args.model if args.model else None      ,	config=args.config      ,	tokenizer=args.tokenizer      ,	device=args.device      ,	)
      return ServeCommand(__SCREAMING_SNAKE_CASE      ,	args.host      ,	args.port      ,	args.workers	)







class 				_A		( lowercase__			):
      snake_case__    :     dict







class 				_A		( lowercase__			):
      snake_case__    :     List[str]
      snake_case__    :     Optional[List[int]]







class 				_A		( lowercase__			):
      snake_case__    :     str







class 				_A		( lowercase__			):
      snake_case__    :     Any







class 				_A		( lowercase__			):

      @staticmethod
      def        A__ (		__lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			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	, __lowerCAmelCase	, __lowerCAmelCase	, __lowerCAmelCase	, __lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			pipeline

            lowercase														=			host
            lowercase														=			port
            lowercase														=			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														=			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        A__ (		self		):







            """simple docstring"""



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

      def        A__ (		self		):







            """simple docstring"""



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

      def        A__ (		self	, __lowerCAmelCase = Body(__lowerCAmelCase	, embed=__lowerCAmelCase		)	, __lowerCAmelCase = Body(__lowerCAmelCase	, embed=__lowerCAmelCase		)		):







            """simple docstring"""



            try:
                  lowercase														=			self._pipeline.tokenizer.tokenize(__lowerCAmelCase		)

                  if return_ids:
                        lowercase														=			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        A__ (		self	, __lowerCAmelCase = Body(__lowerCAmelCase	, embed=__lowerCAmelCase		)	, __lowerCAmelCase = Body(__lowerCAmelCase	, embed=__lowerCAmelCase		)	, __lowerCAmelCase = Body(__lowerCAmelCase	, embed=__lowerCAmelCase		)	, ):







            """simple docstring"""



            try:
                  lowercase														=			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        A__ (		self	, __lowerCAmelCase=Body(__lowerCAmelCase	, embed=__lowerCAmelCase		)		):







            """simple docstring"""



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

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




"""simple docstring"""






def     UpperCAmelCase__ (       lowerCAmelCase__  :int	)				->					bool:
      '''simple docstring'''


      lowercase														=			(1 + 2_4 * n) ** 0.5
      return ((1 + root) / 6) % 1 == 0


def     UpperCAmelCase__ (       lowerCAmelCase__  :int = 5_0_0_0	)				->					int:
      '''simple docstring'''


      lowercase														=			[(i * (3 * i - 1)) // 2 for i in range(1      ,	lowerCAmelCase__	)]
      for i, pentagonal_i in enumerate(lowerCAmelCase__	):
            for j in range(lowerCAmelCase__      ,	len(lowerCAmelCase__	)	):
                  lowercase														=			pentagonal_nums[j]
                  lowercase														=			pentagonal_i + pentagonal_j
                  lowercase														=			pentagonal_j - pentagonal_i
                  if is_pentagonal(lowerCAmelCase__	) and is_pentagonal(lowerCAmelCase__	):
                        return b

      return -1


if __name__ == "__main__":
       print(F"""{solution() = }""")



