


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

						snake_case							: str      =   True
except (ImportError, AttributeError):
						snake_case							: Dict      =   object






						def 							__lowercase     (				*__lowerCAmelCase							:       Any      ,					**__lowerCAmelCase							:       Optional[Any]     ):
													pass






						snake_case							: Dict      =   False


snake_case							: Dict      =   logging.get_logger('''transformers-cli/serving''')






def 							__lowercase     (				__lowerCAmelCase							:       Namespace     ):
							a__    =  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  snake_case_     (lowerCamelCase_   ):
					UpperCAmelCase__      :					dict







class  snake_case_     (lowerCamelCase_   ):
					UpperCAmelCase__      :					List[str]
					UpperCAmelCase__      :					Optional[List[int]]







class  snake_case_     (lowerCamelCase_   ):
					UpperCAmelCase__      :					str







class  snake_case_     (lowerCamelCase_   ):
					UpperCAmelCase__      :					Any







class  snake_case_     (lowerCamelCase_   ):
					@staticmethod
					def 				lowerCamelCase__(   __snake_case     :ArgumentParser   )      ->					Any:
												a__    =  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=88_88    ,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     :int    ,__snake_case     :Pipeline    ,__snake_case     :str    ,__snake_case     :int    ,__snake_case     :int   )      ->					Optional[int]:
												a__    =  pipeline

												a__    =  host
												a__    =  port
												a__    =  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}'   )
																			a__    =  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=6_00    ,)
					def 				lowerCamelCase__(   self     :Union[str, Any]   )      ->					Optional[int]:
												run(self._app    ,host=self.host    ,port=self.port    ,workers=self.workers   )
					def 				lowerCamelCase__(   self     :List[Any]   )      ->					List[Any]:
												return ServeModelInfoResult(infos=vars(self._pipeline.model.config   )   )
					def 				lowerCamelCase__(   self     :str    ,__snake_case     :str = Body(__snake_case    ,embed=__snake_case   )    ,__snake_case     :bool = Body(__snake_case    ,embed=__snake_case   )   )      ->					Dict:
												try:
																			a__    =  self._pipeline.tokenizer.tokenize(__snake_case   )

																			if return_ids:
																										a__    =  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=5_00    ,detail={'model': '', 'error': str(__snake_case   )}   )
					def 				lowerCamelCase__(   self     :Union[str, Any]    ,__snake_case     :List[int] = Body(__snake_case    ,embed=__snake_case   )    ,__snake_case     :bool = Body(__snake_case    ,embed=__snake_case   )    ,__snake_case     :bool = Body(__snake_case    ,embed=__snake_case   )    ,)      ->					str:
												try:
																			a__    =  self._pipeline.tokenizer.decode(__snake_case    ,__snake_case    ,__snake_case   )
																			return ServeDeTokenizeResult(model=''    ,text=__snake_case   )
												except Exception as e:
																			raise HTTPException(status_code=5_00    ,detail={'model': '', 'error': str(__snake_case   )}   )



					async def 				lowerCamelCase__(   self     :Tuple    ,__snake_case     :List[Any]=Body(__snake_case    ,embed=__snake_case   )   )      ->					Dict:

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

												try:
																			# Forward through the model
																			a__    =  self._pipeline(__snake_case   )
																			return ServeForwardResult(output=__snake_case   )
												except Exception as e:
																			raise HTTPException(5_00    ,{'error': str(__snake_case   )}   )








from __future__ import annotations






def 							__lowercase     (				__lowerCAmelCase							:       list[int]     ):  # This function is recursive
							a__    =  len(__lowerCAmelCase     )
							# If the array contains only one element, we return it (it's the stop condition of
							# recursion)
							if array_length <= 1:
														return array
														# Else
							a__    =  array[0]
							a__    =  False
							a__    =  1
							a__    =  []
							while not is_found and i < array_length:
														if array[i] < pivot:
																					a__    =  True
																					a__    =  [element for element in array[i:] if element >= array[i]]
																					a__    =  longest_subsequence(__lowerCAmelCase     )
																					if len(__lowerCAmelCase     ) > len(__lowerCAmelCase     ):
																												a__    =  temp_array
														else:
																					i += 1

							a__    =  [element for element in array[1:] if element >= pivot]
							a__    =  [pivot, *longest_subsequence(__lowerCAmelCase     )]
							if len(__lowerCAmelCase     ) > len(__lowerCAmelCase     ):
														return temp_array
							else:
														return longest_subseq


if __name__ == "__main__":
						import doctest

						doctest.testmod()




