






from argparse import ArgumentParser

from . import BaseTransformersCLICommand
def       snake_case_		(     lowerCAmelCase_       :						Dict      ):
       return DownloadCommand(args.model       ,       args.cache_dir       ,       args.force       ,       args.trust_remote_code      )



class 		lowerCAmelCase     ( __a			):

     '''simple docstring'''

     @staticmethod
     def       lowerCAmelCase				(  __a				:	ArgumentParser							)			->  Optional[Any]:


            """simple docstring"""

            __lowercase      :							Union[str, 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				:	Dict		,     __a				:	str		,     __a				:	str		,     __a				:	bool		,     __a				:	bool							)			->  Union[str, Any]:


            """simple docstring"""

            __lowercase      :							Dict				=     model
            __lowercase      :							List[Any]				=     cache
            __lowercase      :							Any				=     force
            __lowercase      :							Optional[int]				=     trust_remote_code



     def       lowerCAmelCase				(  self				:	str							)			->  List[str]:


            """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 __future__ import annotations
def       snake_case_		(     lowerCAmelCase_       :						str       ,       lowerCAmelCase_       :						list[str] | None = None      ):
							__lowercase      :							Tuple				=     word_bank or []
							# create a table
							__lowercase      :							int				=     len(lowerCAmelCase_      ) + 1

							__lowercase      :							list[list[list[str]]]				=     []
							for _ in range(lowerCAmelCase_      ):
														table.append([]      )
							# seed value
							__lowercase      :							Dict				=     [[]]  # because empty string has empty combination

							# iterate through the indices
							for i in range(lowerCAmelCase_      ):
														# condition
														if table[i] != []:
																					for word in word_bank:
																												# slice condition
																												if target[i : i + len(lowerCAmelCase_      )] == word:
																																			__lowercase      :							list[list[str]]				=     [
																																			    [word, *way] for way in table[i]
																																			]
																																			# adds the word to every combination the current position holds
																																			# now,push that combination to the table[i+len(word)]
																																			table[i + len(lowerCAmelCase_      )] += new_combinations

    # combinations are in reverse order so reverse for better output
							for combination in table[len(lowerCAmelCase_      )]:
														combination.reverse()

							return table[len(lowerCAmelCase_      )]


if __name__ == "__main__":
	print(all_construct('''jwajalapa''', ['''jwa''', '''j''', '''w''', '''a''', '''la''', '''lapa''']))
	print(all_construct('''rajamati''', ['''s''', '''raj''', '''amat''', '''raja''', '''ma''', '''i''', '''t''']))
	print(
	    all_construct(
	        '''hexagonosaurus''',
	        ['''h''', '''ex''', '''hex''', '''ag''', '''ago''', '''ru''', '''auru''', '''rus''', '''go''', '''no''', '''o''', '''s'''],
	    )
	)