





def   a_   (			lowerCAmelCase_				:      int     ):
   __lowerCAmelCase							     =     [1]

   __lowerCAmelCase     ,     __lowerCAmelCase     ,     __lowerCAmelCase							     =     0, 0, 0
   __lowerCAmelCase							     =     ugly_nums[ia] * 2
   __lowerCAmelCase							     =     ugly_nums[ia] * 3
   __lowerCAmelCase							     =     ugly_nums[ia] * 5

   for _ in range(1,     lowerCAmelCase_     ):
      __lowerCAmelCase							     =     min(lowerCAmelCase_,     lowerCAmelCase_,     lowerCAmelCase_     )
      ugly_nums.append(lowerCAmelCase_     )
      if next_num == next_a:
         ia += 1
         __lowerCAmelCase							     =     ugly_nums[ia] * 2
      if next_num == next_a:
         ia += 1
         __lowerCAmelCase							     =     ugly_nums[ia] * 3
      if next_num == next_a:
         ia += 1
         __lowerCAmelCase							     =     ugly_nums[ia] * 5
   return ugly_nums[-1]


if __name__ == "__main__":
     from doctest import testmod

     testmod(verbose=True)
     print(F"""{ugly_numbers(200) = }""")








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  :   int						   =  True
except (ImportError, AttributeError):
     _snake_case  :   int						   =  object

     def   a_   (			*lowerCAmelCase_				:      List[str],     **lowerCAmelCase_				:      Optional[Any]     ):
        pass




     _snake_case  :   Union[str, Any]						   =  False


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

def   a_   (			lowerCAmelCase_				:      Namespace     ):
   __lowerCAmelCase							     =     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     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			42





class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			42
  a_      =			42





class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			42





class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			42





class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  @staticmethod
  def     lowercase		(    lowerCAmelCase_			:		ArgumentParser					)							->						Union[str, Any]:
     __lowerCAmelCase							     =     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=8_8_8_8 ,  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[str] ,  lowerCAmelCase_			:		Pipeline ,  lowerCAmelCase_			:		str ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		int					)							->						str:
     __lowerCAmelCase							     =     pipeline

     __lowerCAmelCase							     =     host
     __lowerCAmelCase							     =     port
     __lowerCAmelCase							     =     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							     =     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=6_0_0 ,  )






  def     lowercase		(    self			:		Tuple					)							->						str:
     run(self._app ,  host=self.host ,  port=self.port ,  workers=self.workers					)






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






  def     lowercase		(    self			:		int ,  lowerCAmelCase_			:		str = Body(lowerCAmelCase_ ,  embed=lowerCAmelCase_					) ,  lowerCAmelCase_			:		bool = Body(lowerCAmelCase_ ,  embed=lowerCAmelCase_					)					)							->						Dict:
     try:
        __lowerCAmelCase							     =     self._pipeline.tokenizer.tokenize(lowerCAmelCase_					)

        if return_ids:
           __lowerCAmelCase							     =     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=5_0_0 ,  detail={'model': '', 'error': str(lowerCAmelCase_					)}					)






  def     lowercase		(    self			:		int ,  lowerCAmelCase_			:		List[int] = Body(lowerCAmelCase_ ,  embed=lowerCAmelCase_					) ,  lowerCAmelCase_			:		bool = Body(lowerCAmelCase_ ,  embed=lowerCAmelCase_					) ,  lowerCAmelCase_			:		bool = Body(lowerCAmelCase_ ,  embed=lowerCAmelCase_					) ,  )							->						Union[str, Any]:
     try:
        __lowerCAmelCase							     =     self._pipeline.tokenizer.decode(lowerCAmelCase_ ,  lowerCAmelCase_ ,  lowerCAmelCase_					)
        return ServeDeTokenizeResult(model='' ,  text=lowerCAmelCase_					)
     except Exception as e:
        raise HTTPException(status_code=5_0_0 ,  detail={'model': '', 'error': str(lowerCAmelCase_					)}					)






  async def     lowercase		(    self			:		List[Any] ,  lowerCAmelCase_			:		Union[str, 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							     =     self._pipeline(lowerCAmelCase_					)
        return ServeForwardResult(output=lowerCAmelCase_					)
     except Exception as e:
        raise HTTPException(5_0_0 ,  {'error': str(lowerCAmelCase_					)}					)

