


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							:	Optional[int]					      =				object






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






						snake_case							:	str					      =				False


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






def 							__lowercase       (			__lowerCAmelCase							:    Tuple       ):
							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_       (__lowercase				):
					UpperCAmelCase__ :   dict







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







class 	snake_case_       (__lowercase				):
					UpperCAmelCase__ :   str







class 	snake_case_       (__lowercase				):
					UpperCAmelCase__ :   Any







class 	snake_case_       (__lowercase				):
					@staticmethod
					def 			lowerCamelCase__(				__snake_case       :ArgumentParser				) ->   Dict:
												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       :Any      ,__snake_case       :Pipeline      ,__snake_case       :str      ,__snake_case       :int      ,__snake_case       :int				) ->   Optional[Any]:
												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       :int				) ->   Dict:
												run(self._app      ,host=self.host      ,port=self.port      ,workers=self.workers				)
					def 			lowerCamelCase__(				self       :Union[str, Any]				) ->   Tuple:
												return ServeModelInfoResult(infos=vars(self._pipeline.model.config				)				)
					def 			lowerCamelCase__(				self       :Any      ,__snake_case       :str = Body(__snake_case      ,embed=__snake_case				)      ,__snake_case       :bool = Body(__snake_case      ,embed=__snake_case				)				) ->   Any:

												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       :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				)      ,) ->   List[Any]:

												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       :Dict      ,__snake_case       :Union[str, Any]=Body(__snake_case      ,embed=__snake_case				)				) ->   Optional[int]:

												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 math import ceil, sqrt






def 							__lowercase       (			__lowerCAmelCase							:    int = 1_0_0_0_0_0_0       ):
							a__					=					0

							for outer_width in range(3 ,   (limit // 4) + 2       ):
														if outer_width**2 > limit:
																					a__					=					max(ceil(sqrt(outer_width**2 - limit       )       ) ,   1       )
														else:
																					a__					=					1
														if (outer_width - hole_width_lower_bound) % 2:
																					hole_width_lower_bound += 1

														answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

							return answer


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




