





'''simple docstring'''

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCamelCase : Union[str, Any]											=			logging.get_logger(__name__)

class       UpperCAmelCase (						__UpperCAmelCase  ):
  UpperCAmelCase					:	List[Any] 			=		"""encoder-decoder"""
  UpperCAmelCase					:	str 			=		True




  def __init__(self      :	Tuple							,			**A__      :	str				)					-> Union[str, Any]:
      super().__init__(**UpperCAmelCase_				)
      assert (
          "encoder" in kwargs and "decoder" in kwargs
      ), "Config has to be initialized with encoder and decoder config"
      lowercase         = kwargs.pop("encoder"				)
      lowercase         = encoder_config.pop("model_type"				)
      lowercase         = kwargs.pop("decoder"				)
      lowercase         = decoder_config.pop("model_type"				)

      from ..auto.configuration_auto import AutoConfig

      lowercase         = AutoConfig.for_model(UpperCAmelCase_							,			**UpperCAmelCase_				)
      lowercase         = AutoConfig.for_model(UpperCAmelCase_							,			**UpperCAmelCase_				)
      lowercase         = True




  @classmethod
  def 				UpperCAmelCase__   (cls      :	int							,			A__      :	str							,			A__      :	Union[str, Any]							,			**A__      :	Optional[Any]				)					-> List[Any]:
      logger.info("Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"				)
      lowercase         = True
      lowercase         = True

      return cls(encoder=encoder_config.to_dict()							,			decoder=decoder_config.to_dict()							,			**UpperCAmelCase_				)





  def 				UpperCAmelCase__   (self      :	int				)					-> Union[str, Any]:
      lowercase         = copy.deepcopy(self.__dict__				)
      lowercase         = self.encoder.to_dict()
      lowercase         = self.decoder.to_dict()
      lowercase         = self.__class__.model_type
      return output











'''simple docstring'''

from argparse import ArgumentParser

from . import BaseTransformersCLICommand







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






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


class       UpperCAmelCase (						_lowercase  ):




		@staticmethod
		def 				UpperCAmelCase__   (A__      :	ArgumentParser				)					-> List[Any]:
						lowercase         = 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      :	Tuple							,			A__      :	str							,			A__      :	str							,			A__      :	bool							,			A__      :	bool				)					-> str:
						lowercase         = model
						lowercase         = cache
						lowercase         = force
						lowercase         = trust_remote_code





		def 				UpperCAmelCase__   (self      :	Union[str, Any]				)					-> Dict:
						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				)




