





"""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__					=   True
except (ImportError, AttributeError):
       SCREAMING_SNAKE_CASE__					=   object


       def 			UpperCAmelCase__							(  *SCREAMING_SNAKE_CASE     :						List[str]							,						**SCREAMING_SNAKE_CASE     :						int			):







             '''simple docstring'''




             pass






       SCREAMING_SNAKE_CASE__					=   False


SCREAMING_SNAKE_CASE__					=   logging.get_logger("transformers-cli/serving")


def 			UpperCAmelCase__							(  SCREAMING_SNAKE_CASE     :						Namespace			):







      '''simple docstring'''




      lowerCAmelCase  						=       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 		lowercase					(					_UpperCAmelCase					):
      _SCREAMING_SNAKE_CASE					=      42







class 		lowercase					(					_UpperCAmelCase					):
      _SCREAMING_SNAKE_CASE					=      42
      _SCREAMING_SNAKE_CASE					=      42







class 		lowercase					(					_UpperCAmelCase					):
      _SCREAMING_SNAKE_CASE					=      42







class 		lowercase					(					_UpperCAmelCase					):
      _SCREAMING_SNAKE_CASE					=      42







class 		lowercase					(					_UpperCAmelCase					):





      @staticmethod
      def     _snake_case			(       lowercase )		->     Any:
            lowerCAmelCase  						=       parser.add_parser(
                """serve"""      ,						help="""CLI tool to run inference requests through REST and GraphQL endpoints.""" )
            serve_parser.add_argument(
                """--task"""      ,						type=lowercase      ,						choices=get_supported_tasks()      ,						help="""The task to run the pipeline on"""      ,						)
            serve_parser.add_argument("""--host"""      ,						type=lowercase      ,						default="""localhost"""      ,						help="""Interface the server will listen on.""" )
            serve_parser.add_argument("""--port"""      ,						type=lowercase      ,						default=8_888      ,						help="""Port the serving will listen to.""" )
            serve_parser.add_argument("""--workers"""      ,						type=lowercase      ,						default=1      ,						help="""Number of http workers""" )
            serve_parser.add_argument("""--model"""      ,						type=lowercase      ,						help="""Model's name or path to stored model.""" )
            serve_parser.add_argument("""--config"""      ,						type=lowercase      ,						help="""Model's config name or path to stored model.""" )
            serve_parser.add_argument("""--tokenizer"""      ,						type=lowercase      ,						help="""Tokenizer name to use.""" )
            serve_parser.add_argument(
                """--device"""      ,						type=lowercase      ,						default=-1      ,						help="""Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)"""      ,						)
            serve_parser.set_defaults(func=lowercase )





      def __init__(       self      ,						lowercase      ,						lowercase      ,						lowercase      ,						lowercase )		->     Tuple:
            lowerCAmelCase  						=       pipeline

            lowerCAmelCase  						=       host
            lowerCAmelCase  						=       port
            lowerCAmelCase  						=       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  						=       FastAPI(
                      routes=[
                          APIRoute(
                              """/"""      ,						self.model_info      ,						response_model=lowercase      ,						response_class=lowercase      ,						methods=["""GET"""]      ,						),
                          APIRoute(
                              """/tokenize"""      ,						self.tokenize      ,						response_model=lowercase      ,						response_class=lowercase      ,						methods=["""POST"""]      ,						),
                          APIRoute(
                              """/detokenize"""      ,						self.detokenize      ,						response_model=lowercase      ,						response_class=lowercase      ,						methods=["""POST"""]      ,						),
                          APIRoute(
                              """/forward"""      ,						self.forward      ,						response_model=lowercase      ,						response_class=lowercase      ,						methods=["""POST"""]      ,						),
                      ]      ,						timeout=600      ,						)





      def     _snake_case			(       self )		->     str:
            run(self._app      ,						host=self.host      ,						port=self.port      ,						workers=self.workers )





      def     _snake_case			(       self )		->     List[Any]:
            return ServeModelInfoResult(infos=vars(self._pipeline.model.config ) )





      def     _snake_case			(       self      ,						lowercase = Body(lowercase      ,						embed=lowercase )      ,						lowercase = Body(lowercase      ,						embed=lowercase ) )		->     Dict:
            try:
                  lowerCAmelCase  						=       self._pipeline.tokenizer.tokenize(lowercase )

                  if return_ids:
                        lowerCAmelCase  						=       self._pipeline.tokenizer.convert_tokens_to_ids(lowercase )
                        return ServeTokenizeResult(tokens=lowercase      ,						tokens_ids=lowercase )
                  else:
                        return ServeTokenizeResult(tokens=lowercase )

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





      def     _snake_case			(       self      ,						lowercase = Body(lowercase      ,						embed=lowercase )      ,						lowercase = Body(lowercase      ,						embed=lowercase )      ,						lowercase = Body(lowercase      ,						embed=lowercase )      ,						)		->     Any:
            try:
                  lowerCAmelCase  						=       self._pipeline.tokenizer.decode(lowercase      ,						lowercase      ,						lowercase )
                  return ServeDeTokenizeResult(model=""""""      ,						text=lowercase )
            except Exception as e:
                  raise HTTPException(status_code=500      ,						detail={"""model""": """""", """error""": str(lowercase )} )





      async def     _snake_case			(       self      ,						lowercase=Body(lowercase      ,						embed=lowercase ) )		->     str:

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

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














"""simple docstring"""
def 				snake_case      (   A__	,A__						):
			# "extended trapezoidal rule"
			# int(f) = dx/2 * (f1 + 2f2 + ... + fn)
			UpperCAmelCase_     : Dict			     =					(boundary[1] - boundary[0]) / steps
			UpperCAmelCase_     : Optional[int]			     =					boundary[0]
			UpperCAmelCase_     : str			     =					boundary[1]
			UpperCAmelCase_     : Tuple			     =					make_points(A__	,A__	,A__						)
			UpperCAmelCase_     : List[str]			     =					0.0
			y += (h / 2.0) * f(A__						)
			for i in x_i:
						# print(i)
						y += h * f(A__						)
			y += (h / 2.0) * f(A__						)
			return y

def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : Union[str, Any]			     =					a + h
			while x < (b - h):
						yield x
						UpperCAmelCase_     : Optional[Any]			     =					x + h

def 				snake_case      (   A__						):  # enter your function here
			UpperCAmelCase_     : Dict			     =					(x - 0) * (x - 0)
			return y

def 				snake_case      (   ):
			UpperCAmelCase_     : Dict			     =					0.0  # Lower bound of integration
			UpperCAmelCase_     : Optional[int]			     =					1.0  # Upper bound of integration
			UpperCAmelCase_     : Dict			     =					10.0  # define number of steps or resolution
			UpperCAmelCase_     : List[Any]			     =					[a, b]  # define boundary of integration
			UpperCAmelCase_     : Union[str, Any]			     =					method_a(A__	,A__						)
			print(F"""y = {y}"""						)


if __name__ == "__main__":
			main()



