


'''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

		_lowerCAmelCase     :							Tuple    =				True
except (ImportError, AttributeError):
		_lowerCAmelCase     :							List[str]    =				object






		def 					_A			(			*snake_case__    :			int						,						**snake_case__    :			Tuple				):
			pass





		_lowerCAmelCase     :							List[Any]    =				False


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






def 					_A			(			snake_case__    :			int				):
	snake_case__			:			List[str]             =		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 		snake_case				(    __lowerCamelCase						):

				"""simple docstring"""




				_lowerCAmelCase           =    42



class 		snake_case				(    __lowerCamelCase						):

				"""simple docstring"""




				_lowerCAmelCase           =    42
				_lowerCAmelCase           =    42



class 		snake_case				(    __lowerCamelCase						):

				"""simple docstring"""




				_lowerCAmelCase           =    42



class 		snake_case				(    __lowerCamelCase						):

				"""simple docstring"""




				_lowerCAmelCase           =    42



class 		snake_case				(    __lowerCamelCase						):

				"""simple docstring"""




				@staticmethod
				def    lowercase__							(	lowerCamelCase )    ->      Any:







					"""simple docstring"""






					snake_case__			:			List[Any]             =		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       ,    lowerCamelCase       ,    lowerCamelCase       ,    lowerCamelCase       ,    lowerCamelCase )    ->      List[str]:







					"""simple docstring"""






					snake_case__			:			Dict             =		pipeline

					snake_case__			:			Union[str, Any]             =		host
					snake_case__			:			Any             =		port
					snake_case__			:			str             =		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}''' )
						snake_case__			:			Dict             =		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    lowercase__							(	self )    ->      List[str]:







					"""simple docstring"""






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





				def    lowercase__							(	self )    ->      List[Any]:







					"""simple docstring"""






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





				def    lowercase__							(	self       ,    lowerCamelCase = Body(lowerCamelCase       ,    embed=lowerCamelCase )       ,    lowerCamelCase = Body(lowerCamelCase       ,    embed=lowerCamelCase ) )    ->      str:







					"""simple docstring"""






					try:
						snake_case__			:			List[str]             =		self._pipeline.tokenizer.tokenize(lowerCamelCase )

						if return_ids:
							snake_case__			:			Dict             =		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    lowercase__							(	self       ,    lowerCamelCase = Body(lowerCamelCase       ,    embed=lowerCamelCase )       ,    lowerCamelCase = Body(lowerCamelCase       ,    embed=lowerCamelCase )       ,    lowerCamelCase = Body(lowerCamelCase       ,    embed=lowerCamelCase )       ,    )    ->      List[str]:







					"""simple docstring"""






					try:
						snake_case__			:			int             =		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    lowercase__							(	self       ,    lowerCamelCase=Body(lowerCamelCase       ,    embed=lowerCamelCase ) )    ->      List[str]:







					"""simple docstring"""






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

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










'''simple docstring'''





from __future__ import annotations




def lowerCAmelCase    (__A    ,      __A):



     """simple docstring"""



     if len(__A) == 0:
          return False
     _a           =    len(__A) // 2
     if a_list[midpoint] == item:
          return True
     if item < a_list[midpoint]:
          return binary_search(a_list[:midpoint]    ,      __A)
     else:
          return binary_search(a_list[midpoint + 1 :]    ,      __A)


if __name__ == "__main__":
  lowercase_									=    input("Enter numbers separated by comma:\n").strip()
  lowercase_									=    [int(item.strip()) for item in user_input.split(",")]
  lowercase_									=    int(input("Enter the number to be found in the list:\n").strip())
  lowercase_									=    "" if binary_search(sequence, target) else "not "
  print(F"""{target} was {not_str}found in {sequence}""")



