"""simple docstring"""


import mpmath  # for roots of unity
import numpy as np


class        a				:


    def __init__(					self	:  Dict   ,				__lowerCAmelCase	:  Optional[int]=None   ,				__lowerCAmelCase	:  Union[str, Any]=None					):
      _UpperCAmelCase						 =      list(poly_a or [0]					)[:]
      _UpperCAmelCase						 =      list(poly_b or [0]					)[:]

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

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

      # Add 0 to make lengths equal a power of 2
      _UpperCAmelCase						 =      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
      _UpperCAmelCase						 =      complex(mpmath.root(x=1   ,				n=self.c_max_length   ,				k=1					)					)

      # The product
      _UpperCAmelCase						 =      self.__multiply()


    def      lowerCAmelCase_  (					self	:  int   ,				__lowerCAmelCase	:  Dict					):
      _UpperCAmelCase						 =      [[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]
      #
      _UpperCAmelCase						 =      self.c_max_length // 2
      while next_ncol > 0:
        _UpperCAmelCase						 =      [[] for i in range(__lowerCAmelCase					)]
        _UpperCAmelCase						 =      self.root**next_ncol

        # First half of next step
        _UpperCAmelCase						 =      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
        _UpperCAmelCase						 =      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
        _UpperCAmelCase						 =      new_dft
        _UpperCAmelCase						 =      next_ncol // 2
      return dft[0]


    def      lowerCAmelCase_  (					self	:  Optional[int]					):
      _UpperCAmelCase						 =      self.__dft("""A"""					)
      _UpperCAmelCase						 =      self.__dft("""B"""					)
      _UpperCAmelCase						 =      [[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
      _UpperCAmelCase						 =      2
      while next_ncol <= self.c_max_length:
        _UpperCAmelCase						 =      [[] for i in range(__lowerCAmelCase					)]
        _UpperCAmelCase						 =      self.root ** (next_ncol // 2)
        _UpperCAmelCase						 =      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
        _UpperCAmelCase						 =      new_inverse_c
        next_ncol *= 2
      # Unpack
      _UpperCAmelCase						 =      [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	:  Optional[int]					):
      _UpperCAmelCase						 =      """A = """ + """ + """.join(
          f'''{coef}*x^{i}''' for coef, i in enumerate(self.polyA[: self.len_A]					)					)
      _UpperCAmelCase						 =      """B = """ + """ + """.join(
          f'''{coef}*x^{i}''' for coef, i in enumerate(self.polyB[: self.len_B]					)					)
      _UpperCAmelCase						 =      """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()




"""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

    UpperCAmelCase__  		=						True
except (ImportError, AttributeError):
    UpperCAmelCase__  		=						object






    def     __UpperCAmelCase					(			*lowercase   ,**lowercase		):







      """simple docstring"""
      pass

    UpperCAmelCase__  		=						False


UpperCAmelCase__  		=						logging.get_logger("""transformers-cli/serving""")






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      pipeline(
      task=args.task   ,model=args.model if args.model else None   ,config=args.config   ,tokenizer=args.tokenizer   ,device=args.device   ,)
  return ServeCommand(lowercase   ,args.host   ,args.port   ,args.workers		)


class        a				(		lowerCAmelCase_   ):
    _snake_case     :  dict



class        a				(		lowerCAmelCase_   ):
    _snake_case     :  List[str]
    _snake_case     :  Optional[List[int]]



class        a				(		lowerCAmelCase_   ):
    _snake_case     :  str



class        a				(		lowerCAmelCase_   ):
    _snake_case     :  Any



class        a				(		lowerCAmelCase_   ):


    @staticmethod
    def      lowerCAmelCase_  (					__lowerCAmelCase	:  ArgumentParser					):
      _UpperCAmelCase						 =      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	:  Tuple   ,				__lowerCAmelCase	:  Pipeline   ,				__lowerCAmelCase	:  str   ,				__lowerCAmelCase	:  int   ,				__lowerCAmelCase	:  int					):
      _UpperCAmelCase						 =      pipeline

      _UpperCAmelCase						 =      host
      _UpperCAmelCase						 =      port
      _UpperCAmelCase						 =      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}'''					)
        _UpperCAmelCase						 =      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      lowerCAmelCase_  (					self	:  Optional[int]					):
      run(self._app   ,				host=self.host   ,				port=self.port   ,				workers=self.workers					)


    def      lowerCAmelCase_  (					self	:  str					):
      return ServeModelInfoResult(infos=vars(self._pipeline.model.config					)					)


    def      lowerCAmelCase_  (					self	:  Tuple   ,				__lowerCAmelCase	:  str = Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)   ,				__lowerCAmelCase	:  bool = Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)					):
      try:
        _UpperCAmelCase						 =      self._pipeline.tokenizer.tokenize(__lowerCAmelCase					)

        if return_ids:
          _UpperCAmelCase						 =      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      lowerCAmelCase_  (					self	:  int   ,				__lowerCAmelCase	:  List[int] = Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)   ,				__lowerCAmelCase	:  bool = Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)   ,				__lowerCAmelCase	:  bool = Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)   ,				):
      try:
        _UpperCAmelCase						 =      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      lowerCAmelCase_  (					self	:  str   ,				__lowerCAmelCase	:  List[Any]=Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)					):

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

      try:
        # Forward through the model
        _UpperCAmelCase						 =      self._pipeline(__lowerCAmelCase					)
        return ServeForwardResult(output=__lowerCAmelCase					)
      except Exception as e:
        raise HTTPException(500   ,				{"""error""": str(__lowerCAmelCase					)}					)
