





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_					)}					)








import mpmath  # for roots of unity
import numpy as np



class     _UpperCAmelCase   :

  """simple docstring"""


  def __init__(    self			:		List[Any] ,  lowerCAmelCase_			:		Dict=None ,  lowerCAmelCase_			:		str=None					)							->						List[Any]:
     # Input as list
     __lowerCAmelCase							     =     list(poly_a or [0]					)[:]
     __lowerCAmelCase							     =     list(poly_b or [0]					)[:]

     # Remove leading zero coefficients
     while self.polyA[-1] == 0:
        self.polyA.pop()
     __lowerCAmelCase							     =     len(self.polyA					)

     while self.polyB[-1] == 0:
        self.polyB.pop()
     __lowerCAmelCase							     =     len(self.polyB					)

     # Add 0 to make lengths equal a power of 2
     __lowerCAmelCase							     =     int(
         2 ** np.ceil(np.loga(len(self.polyA					) + len(self.polyB					) - 1					)					)					)

     while len(self.polyA					) < self.c_max_length:
        self.polyA.append(0					)
     while len(self.polyB					) < self.c_max_length:
        self.polyB.append(0					)
     # A complex root used for the fourier transform
     __lowerCAmelCase							     =     complex(mpmath.root(x=1 ,  n=self.c_max_length ,  k=1					)					)

     # The product
     __lowerCAmelCase							     =     self.__multiply()






  def     lowercase		(    self			:		Optional[int] ,  lowerCAmelCase_			:		str					)							->						Optional[int]:
     __lowerCAmelCase							     =     [[x] for x in self.polyA] if which == 'A' else [[x] for x in self.polyB]
     # Corner case
     if len(lowerCAmelCase_					) <= 1:
        return dft[0]
     #
     __lowerCAmelCase							     =     self.c_max_length // 2
     while next_ncol > 0:
        __lowerCAmelCase							     =     [[] for i in range(lowerCAmelCase_					)]
        __lowerCAmelCase							     =     self.root**next_ncol

        # First half of next step
        __lowerCAmelCase							     =     1
        for j in range(self.c_max_length // (next_ncol * 2)					):
           for i in range(lowerCAmelCase_					):
              new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j]					)
           current_root *= root
        # Second half of next step
        __lowerCAmelCase							     =     1
        for j in range(self.c_max_length // (next_ncol * 2)					):
           for i in range(lowerCAmelCase_					):
              new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j]					)
           current_root *= root
        # Update
        __lowerCAmelCase							     =     new_dft
        __lowerCAmelCase							     =     next_ncol // 2
     return dft[0]






  def     lowercase		(    self			:		Optional[int]					)							->						Any:
     __lowerCAmelCase							     =     self.__dft('A'					)
     __lowerCAmelCase							     =     self.__dft('B'					)
     __lowerCAmelCase							     =     [[dft_a[i] * dft_b[i] for i in range(self.c_max_length					)]]
     del dft_a
     del dft_b

     # Corner Case
     if len(inverce_c[0]					) <= 1:
        return inverce_c[0]
     # Inverse DFT
     __lowerCAmelCase							     =     2
     while next_ncol <= self.c_max_length:
        __lowerCAmelCase							     =     [[] for i in range(lowerCAmelCase_					)]
        __lowerCAmelCase							     =     self.root ** (next_ncol // 2)
        __lowerCAmelCase							     =     1
        # First half of next step
        for j in range(self.c_max_length // next_ncol					):
           for i in range(next_ncol // 2					):
              # Even positions
              new_inverse_c[i].append(
                  (
                      inverce_c[i][j]
                      + inverce_c[i][j + self.c_max_length // next_ncol]
                  )
                  / 2					)
              # Odd positions
              new_inverse_c[i + next_ncol // 2].append(
                  (
                      inverce_c[i][j]
                      - inverce_c[i][j + self.c_max_length // next_ncol]
                  )
                  / (2 * current_root)					)
           current_root *= root
        # Update
        __lowerCAmelCase							     =     new_inverse_c
        next_ncol *= 2
     # Unpack
     __lowerCAmelCase							     =     [round(x[0].real ,  8					) + round(x[0].imag ,  8					) * 1J for x in inverce_c]

     # Remove leading 0's
     while inverce_c[-1] == 0:
        inverce_c.pop()
     return inverce_c






  def __str__(    self			:		Dict					)							->						int:
     __lowerCAmelCase							     =     'A = ' + ' + '.join(
         f"""{coef}*x^{i}""" for coef, i in enumerate(self.polyA[: self.len_A]					)					)
     __lowerCAmelCase							     =     'B = ' + ' + '.join(
         f"""{coef}*x^{i}""" for coef, i in enumerate(self.polyB[: self.len_B]					)					)
     __lowerCAmelCase							     =     'A*B = ' + ' + '.join(
         f"""{coef}*x^{i}""" for coef, i in enumerate(self.product					)					)

     return f"""{a}\n{b}\n{c}"""


# Unit tests
if __name__ == "__main__":
     import doctest

     doctest.testmod()

