


'''simple docstring'''






from argparse import ArgumentParser

from . import BaseTransformersCLICommand


def       _snake_case     (  A )		->					Dict:
       return DownloadCommand(args.model				,					args.cache_dir				,					args.force				,					args.trust_remote_code )






class 	a__       (							__SCREAMING_SNAKE_CASE						):





       '''simple docstring'''






       @staticmethod
       def 						__SCREAMING_SNAKE_CASE							(	lowerCamelCase_     ) ->							str:
              lowerCAmelCase__      =			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      ,					lowerCamelCase_      ,					lowerCamelCase_      ,					lowerCamelCase_      ,					lowerCamelCase_     ) ->							List[str]:
              lowerCAmelCase__      =			model
              lowerCAmelCase__      =			cache
              lowerCAmelCase__      =			force
              lowerCAmelCase__      =			trust_remote_code







       def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Union[str, Any]:
              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'''






from collections import Counter
from timeit import timeit


def       _snake_case     (  A = ""				,					)		->					bool:
							return sum(c % 2 for c in Counter(input_str.replace(''' '''				,					'''''' ).lower() ).values() ) < 2


def       _snake_case     (  A = "" )		->					bool:
							if len(A ) == 0:
														return True
							lowerCAmelCase__      =			input_str.replace(''' '''				,					'''''' ).lower()
							# character_freq_dict: Stores the frequency of every character in the input string
							lowerCAmelCase__      =			{}

							for character in lower_case_input_str:
														lowerCAmelCase__      =			character_freq_dict.get(A				,					0 ) + 1
							lowerCAmelCase__      =			0

							for character_count in character_freq_dict.values():
														if character_count % 2:
																					odd_char += 1
							if odd_char > 1:
														return False
							return True


def       _snake_case     (  A = "" )		->					None:
							print('''\nFor string = '''				,					A				,					''':''' )
							print(
							    '''> can_string_be_rearranged_as_palindrome_counter()'''				,					'''\tans ='''				,					can_string_be_rearranged_as_palindrome_counter(A )				,					'''\ttime ='''				,					timeit(
							        '''z.can_string_be_rearranged_as_palindrome_counter(z.check_str)'''				,					setup='''import __main__ as z'''				,					)				,					'''seconds'''				,					)
							print(
							    '''> can_string_be_rearranged_as_palindrome()'''				,					'''\tans ='''				,					can_string_be_rearranged_as_palindrome(A )				,					'''\ttime ='''				,					timeit(
							        '''z.can_string_be_rearranged_as_palindrome(z.check_str)'''				,					setup='''import __main__ as z'''				,					)				,					'''seconds'''				,					)


if __name__ == "__main__":
		__UpperCAmelCase					       =							input(
		    '''Enter string to determine if it can be rearranged as a palindrome or not: '''
		).strip()
		benchmark(check_str)
		__UpperCAmelCase					       =							can_string_be_rearranged_as_palindrome_counter(check_str)
		print(f"""{check_str} can {'' if status else 'not '}be rearranged as a palindrome""")