


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

						__UpperCamelCase    		=       True
except (ImportError, AttributeError):
						__UpperCamelCase    		=       object
						def        UpperCamelCase_(				*_A   :Optional[Any]				,     **_A   :int  )->		Tuple:
									pass







						__UpperCamelCase    		=       False


__UpperCamelCase    		=       logging.get_logger('transformers-cli/serving')
def        UpperCamelCase_(				_A   :Namespace  )->		Tuple:
			UpperCamelCase__					=       pipeline(
			    task=args.task				,     model=args.model if args.model else None				,     config=args.config				,     tokenizer=args.tokenizer				,     device=args.device				,     )
			return ServeCommand(_A				,     args.host				,     args.port				,     args.workers  )







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			_UpperCamelCase		:					dict







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			_UpperCamelCase		:					List[str]
			_UpperCamelCase		:					Optional[List[int]]







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			_UpperCamelCase		:					str







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			_UpperCamelCase		:					Any







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			@staticmethod
			def 				snake_case__				(							snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       parser.add_parser(
						    "serve"      ,						help="CLI tool to run inference requests through REST and GraphQL endpoints."     )
						serve_parser.add_argument(
						    "--task"      ,						type=snake_case      ,						choices=get_supported_tasks()      ,						help="The task to run the pipeline on"      ,						)
						serve_parser.add_argument("--host"      ,						type=snake_case      ,						default="localhost"      ,						help="Interface the server will listen on."     )
						serve_parser.add_argument("--port"      ,						type=snake_case      ,						default=8888      ,						help="Port the serving will listen to."     )
						serve_parser.add_argument("--workers"      ,						type=snake_case      ,						default=1      ,						help="Number of http workers"     )
						serve_parser.add_argument("--model"      ,						type=snake_case      ,						help="Model's name or path to stored model."     )
						serve_parser.add_argument("--config"      ,						type=snake_case      ,						help="Model's config name or path to stored model."     )
						serve_parser.add_argument("--tokenizer"      ,						type=snake_case      ,						help="Tokenizer name to use."     )
						serve_parser.add_argument(
						    "--device"      ,						type=snake_case      ,						default=-1      ,						help="Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)"      ,						)
						serve_parser.set_defaults(func=snake_case     )




			def __init__(							self      ,						snake_case      ,						snake_case      ,						snake_case      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       pipeline

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




			def 				snake_case__				(							self     ):

						'''simple docstring'''


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




			def 				snake_case__				(							self     ):

						'''simple docstring'''


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




			def 				snake_case__				(							self      ,						snake_case = Body(snake_case      ,						embed=snake_case     )      ,						snake_case = Body(snake_case      ,						embed=snake_case     )     ):

						'''simple docstring'''


						try:
									UpperCamelCase__					=       self._pipeline.tokenizer.tokenize(snake_case     )

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

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




			def 				snake_case__				(							self      ,						snake_case = Body(snake_case      ,						embed=snake_case     )      ,						snake_case = Body(snake_case      ,						embed=snake_case     )      ,						snake_case = Body(snake_case      ,						embed=snake_case     )      ,						):

						'''simple docstring'''


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







			async def 				snake_case__				(							self      ,						snake_case=Body(snake_case      ,						embed=snake_case     )     ):

						'''simple docstring'''


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

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






def        UpperCamelCase_(				_A   :int				,     _A   :int  )->		str:
			if number < 0 or shift_amount < 0:
						raise ValueError("both inputs must be positive integers"  )

			UpperCamelCase__					=       str(bin(_A  )  )
			binary_number += "0" * shift_amount
			return binary_number
def        UpperCamelCase_(				_A   :int				,     _A   :int  )->		str:
			if number < 0 or shift_amount < 0:
						raise ValueError("both inputs must be positive integers"  )

			UpperCamelCase__					=       str(bin(_A  )  )[2:]
			if shift_amount >= len(_A  ):
						return "0b0"
			UpperCamelCase__					=       binary_number[: len(_A  ) - shift_amount]
			return "0b" + shifted_binary_number
def        UpperCamelCase_(				_A   :int				,     _A   :int  )->		str:
			if number >= 0:  # Get binary representation of positive number
						UpperCamelCase__					=       "0" + str(bin(_A  )  ).strip("-"  )[2:]
			else:  # Get binary (2's complement) representation of negative number
						UpperCamelCase__					=       len(bin(_A  )[3:]  )  # Find 2's complement of number
						UpperCamelCase__					=       bin(abs(_A  ) - (1 << binary_number_length)  )[3:]
						UpperCamelCase__					=       (
						    "1" + "0" * (binary_number_length - len(_A  )) + binary_number
						)

			if shift_amount >= len(_A  ):
						return "0b" + binary_number[0] * len(_A  )
			return (
			    "0b"
			    + binary_number[0] * shift_amount
			    + binary_number[: len(_A  ) - shift_amount]
			)


if __name__ == "__main__":
						import doctest

						doctest.testmod()


