





from argparse import ArgumentParser

from . import BaseTransformersCLICommand





def   lowerCAmelCase_				( __a	)  ->	Optional[int]:







  """simple docstring"""





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






class      _SCREAMING_SNAKE_CASE		(			__SCREAMING_SNAKE_CASE					):







 '''simple docstring'''

 @staticmethod
 def 							SCREAMING_SNAKE_CASE_      (UpperCAmelCase_       :     ArgumentParser) ->Union[str, Any]:



   '''simple docstring'''



   lowerCamelCase__:   Optional[int]    						=parser.add_parser("download")
   download_parser.add_argument(
       "--cache-dir" ,				type=UpperCAmelCase_ ,				default=UpperCAmelCase_ ,				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=UpperCAmelCase_ ,				help="Name of the model to download")
   download_parser.set_defaults(func=UpperCAmelCase_)

 def __init__(self       :     Optional[int] ,				UpperCAmelCase_       :     str ,				UpperCAmelCase_       :     str ,				UpperCAmelCase_       :     bool ,				UpperCAmelCase_       :     bool) ->Union[str, Any]:



   '''simple docstring'''



   lowerCamelCase__:   List[Any]    						=model
   lowerCamelCase__:   Optional[Any]    						=cache
   lowerCamelCase__:   List[str]    						=force
   lowerCamelCase__:   str    						=trust_remote_code







 def 							SCREAMING_SNAKE_CASE_      (self       :     Any) ->Dict:



   '''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)












from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A             =       {
    "configuration_jukebox": [
        "JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "JukeboxConfig",
        "JukeboxPriorConfig",
        "JukeboxVQVAEConfig",
    ],
    "tokenization_jukebox": ["JukeboxTokenizer"],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __A             =       [
         "JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST",
         "JukeboxModel",
         "JukeboxPreTrainedModel",
         "JukeboxVQVAE",
         "JukeboxPrior",
     ]

if TYPE_CHECKING:
     from .configuration_jukebox import (
         JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
         JukeboxConfig,
         JukeboxPriorConfig,
         JukeboxVQVAEConfig,
     )
     from .tokenization_jukebox import JukeboxTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_jukebox import (
              JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
              JukeboxModel,
              JukeboxPreTrainedModel,
              JukeboxPrior,
              JukeboxVQVAE,
          )

else:
     import sys

     __A             =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

