






"""simple docstring"""


from __future__ import annotations

from collections.abc import Callable




def     snake_case						(A_   :Callable[[int | float], int | float]			,    A_   :int | float			,    A_   :int | float			,    A_   :int = 1_0_0			,    ):







  '''simple docstring'''

  a  :    List[Any]       =     x_start
  a  :    Union[str, Any]       =     fnc(A_   )
  a  :    List[Any]       =     0.0
  for _ in range(A_   ):
    # Approximates small segments of curve as linear and solve
    # for trapezoidal area
    a  :    int       =     (x_end - x_start) / steps + xa
    a  :    str       =     fnc(A_   )
    area += abs(fxa + fxa   ) * (xa - xa) / 2
    # Increment step
    a  :    List[str]       =     xa
    a  :    Optional[Any]       =     fxa
  return area


if __name__ == "__main__":




   def     snake_case						(A_   :str   ):







     '''simple docstring'''

     return x**3 + x**2

   print('f(x) = x^3 + x^2')
   print('The area between the curve, x = -5, x = 5 and the x axis is:')
   _UpperCamelCase       :					int									=		10
   while i <= 10_0000:
      print(f'''with {i} steps: {trapezoidal_area(f, -5, 5, i)}''')
      i *= 10












"""simple docstring"""


from argparse import ArgumentParser

from . import BaseTransformersCLICommand




def     snake_case						(A_   :Optional[Any]   ):







  '''simple docstring'''

  return DownloadCommand(args.model			,    args.cache_dir			,    args.force			,    args.trust_remote_code   )






class 		snake_case						(						UpperCAmelCase ):





    @staticmethod
    def        lowerCamelCase__   (							A			:      ArgumentParser    ):


      '''simple docstring'''




      a  :    Any       =     parser.add_parser('download'    )
      download_parser.add_argument(
          '--cache-dir'       ,	type=A       ,	default=A       ,	help='Path to location to store the models'    )
      download_parser.add_argument(
          '--force'       ,	action='store_true'       ,	help='Force the model to be download even if already in cache-dir'    )
      download_parser.add_argument(
          '--trust-remote-code'       ,	action='store_true'       ,	help='Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine'       ,	)
      download_parser.add_argument('model'       ,	type=A       ,	help='Name of the model to download'    )
      download_parser.set_defaults(func=A    )





    def __init__(							self			:      Any       ,	A			:      str       ,	A			:      str       ,	A			:      bool       ,	A			:      bool    ):


      '''simple docstring'''




      a  :    int       =     model
      a  :    List[Any]       =     cache
      a  :    Dict       =     force
      a  :    Tuple       =     trust_remote_code





    def        lowerCamelCase__   (							self			:      Optional[Any]    ):


      '''simple docstring'''




      from ..models.auto import AutoModel, AutoTokenizer

      AutoModel.from_pretrained(
          self._model       ,	cache_dir=self._cache       ,	force_download=self._force       ,	trust_remote_code=self._trust_remote_code    )
      AutoTokenizer.from_pretrained(
          self._model       ,	cache_dir=self._cache       ,	force_download=self._force       ,	trust_remote_code=self._trust_remote_code    )




