
'''simple docstring'''







from argparse import ArgumentParser

from . import BaseTransformersCLICommand
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			List[str]							):



						"""simple docstring"""





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






class 			lowerCAmelCase__       (  lowerCamelCase_					):






					@staticmethod
					def      _snake_case   (       __SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					str													=	parser.add_parser('''download'''		)
											download_parser.add_argument(
											    '''--cache-dir'''    ,							type=__SCREAMING_SNAKE_CASE    ,							default=__SCREAMING_SNAKE_CASE    ,							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=__SCREAMING_SNAKE_CASE    ,							help='''Name of the model to download'''		)
											download_parser.set_defaults(func=__SCREAMING_SNAKE_CASE		)






					def __init__(       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	model
											lowercase_     :					int													=	cache
											lowercase_     :					Tuple													=	force
											lowercase_     :					List[str]													=	trust_remote_code






					def      _snake_case   (       self		):


											"""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		)





'''simple docstring'''







def  snake_case_		(    __SCREAMING_SNAKE_CASE :			int				,				__SCREAMING_SNAKE_CASE :			float				,				__SCREAMING_SNAKE_CASE :			float							):



						"""simple docstring"""





						return round(float(moles / volume							) * nfactor							)
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			float				,				__SCREAMING_SNAKE_CASE :			float				,				__SCREAMING_SNAKE_CASE :			float							):



						"""simple docstring"""





						return round(float((moles * 0.0821 * temperature) / (volume)							)							)
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			float				,				__SCREAMING_SNAKE_CASE :			float				,				__SCREAMING_SNAKE_CASE :			float							):



						"""simple docstring"""





						return round(float((moles * 0.0821 * temperature) / (pressure)							)							)
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			float				,				__SCREAMING_SNAKE_CASE :			float				,				__SCREAMING_SNAKE_CASE :			float							):



						"""simple docstring"""





						return round(float((pressure * volume) / (0.0821 * moles)							)							)


if __name__ == "__main__":
							import doctest

							doctest.testmod()



