



"""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

		_lowercase : Tuple      						=						True
except (ImportError, AttributeError):
		_lowercase : int      						=						object






		def      snake_case__   (		*__lowerCamelCase				:    List[str]							,		**__lowerCamelCase				:    Union[str, Any]	):
					"""simple docstring"""
					pass

		_lowercase : int      						=						False


_lowercase : List[Any]      						=						logging.get_logger("transformers-cli/serving")






def      snake_case__   (		__lowerCamelCase				:    Namespace	):
			"""simple docstring"""
			lowerCamelCase__		:		Dict			=pipeline(
			    task=args.task							,		model=args.model if args.model else None							,		config=args.config							,		tokenizer=args.tokenizer							,		device=args.device							,		)
			return ServeCommand(__lowerCamelCase							,		args.host							,		args.port							,		args.workers	)

class        __SCREAMING_SNAKE_CASE	(      lowerCAmelCase_   ):


					'''simple docstring'''





					_a   			=							42





class        __SCREAMING_SNAKE_CASE	(      lowerCAmelCase_   ):


					'''simple docstring'''





					_a   			=							42
					_a   			=							42





class        __SCREAMING_SNAKE_CASE	(      lowerCAmelCase_   ):


					'''simple docstring'''





					_a   			=							42





class        __SCREAMING_SNAKE_CASE	(      lowerCAmelCase_   ):


					'''simple docstring'''





					_a   			=							42





class        __SCREAMING_SNAKE_CASE	(      lowerCAmelCase_   ):


					'''simple docstring'''





					@staticmethod
					def 		snake_case       (       lowerCamelCase							:  ArgumentParser     )->					Tuple:
								lowerCamelCase__		:		List[str]			=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							:  List[Any],  lowerCamelCase							:  Pipeline,  lowerCamelCase							:  str,  lowerCamelCase							:  int,  lowerCamelCase							:  int     )->					List[str]:
								lowerCamelCase__		:		Any			=pipeline

								lowerCamelCase__		:		Union[str, Any]			=host
								lowerCamelCase__		:		int			=port
								lowerCamelCase__		:		int			=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__		:		int			=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 		snake_case       (       self							:  Tuple     )->					Union[str, Any]:
								run(self._app,  host=self.host,  port=self.port,  workers=self.workers     )



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



					def 		snake_case       (       self							:  List[str],  lowerCamelCase							:  str = Body(lowerCamelCase,  embed=lowerCamelCase     ),  lowerCamelCase							:  bool = Body(lowerCamelCase,  embed=lowerCamelCase     )     )->					Optional[int]:
								try:
											lowerCamelCase__		:		List[Any]			=self._pipeline.tokenizer.tokenize(lowerCamelCase     )

											if return_ids:
														lowerCamelCase__		:		List[Any]			=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 		snake_case       (       self							:  List[Any],  lowerCamelCase							:  List[int] = Body(lowerCamelCase,  embed=lowerCamelCase     ),  lowerCamelCase							:  bool = Body(lowerCamelCase,  embed=lowerCamelCase     ),  lowerCamelCase							:  bool = Body(lowerCamelCase,  embed=lowerCamelCase     ),  )->					Optional[Any]:
								try:
											lowerCamelCase__		:		Optional[Any]			=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 		snake_case       (       self							:  List[str],  lowerCamelCase							:  Any=Body(lowerCamelCase,  embed=lowerCamelCase     )     )->					int:

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

								try:
											# Forward through the model
											lowerCamelCase__		:		Optional[int]			=self._pipeline(lowerCamelCase     )
											return ServeForwardResult(output=lowerCamelCase     )
								except Exception as e:
											raise HTTPException(500,  {'''error''': str(lowerCamelCase     )}     )









"""simple docstring"""






from __future__ import annotations

_lowercase : Dict      						=						1.6_021E-19  # units = C






def      snake_case__   (		__lowerCamelCase				:    float							,		__lowerCamelCase				:    float							,		__lowerCamelCase				:    float							,		):
			"""simple docstring"""
			if (conductivity, electron_conc, mobility).count(0	) != 1:
						raise ValueError('''You cannot supply more or less than 2 values'''	)
			elif conductivity < 0:
						raise ValueError('''Conductivity cannot be negative'''	)
			elif electron_conc < 0:
						raise ValueError('''Electron concentration cannot be negative'''	)
			elif mobility < 0:
						raise ValueError('''mobility cannot be negative'''	)
			elif conductivity == 0:
						return (
						    "conductivity",
						    mobility * electron_conc * ELECTRON_CHARGE,
						)
			elif electron_conc == 0:
						return (
						    "electron_conc",
						    conductivity / (mobility * ELECTRON_CHARGE),
						)
			else:
						return (
						    "mobility",
						    conductivity / (electron_conc * ELECTRON_CHARGE),
						)


if __name__ == "__main__":
		import doctest

		doctest.testmod()




