






def      lowercase__      (     __snake_case    :							int     ,       __snake_case    :							int  ):


					'''simple docstring'''


					return abs(__snake_case  ) if a == 0 else greatest_common_divisor(b % a     ,       __snake_case  )




def      lowercase__      (     __snake_case    :							int     ,       __snake_case    :							int  ):


					'''simple docstring'''


					while y:  # --> when y=0 then loop will terminate and return x as final GCD.
										UpperCAmelCase_       ,  UpperCAmelCase_    :      Union[str, Any]            =						y, x % y
					return abs(__snake_case  )




def      lowercase__      (     ):


					'''simple docstring'''


					try:
										UpperCAmelCase_    :      str            =						input('Enter two integers separated by comma (,): '  ).split(','  )
										UpperCAmelCase_    :      Union[str, Any]            =						int(nums[0]  )
										UpperCAmelCase_    :      Optional[Any]            =						int(nums[1]  )
										print(
										    F"greatest_common_divisor({num_a}, {num_a}) = "
										    F"{greatest_common_divisor(__snake_case     ,       __snake_case  )}"  )
										print(F"By iterative gcd({num_a}, {num_a}) = {gcd_by_iterative(__snake_case     ,       __snake_case  )}"  )
					except (IndexError, UnboundLocalError, ValueError):
										print('Wrong input'  )


if __name__ == "__main__":
		main()














import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


__UpperCAmelCase								=						logging.get_logger(__name__)

__UpperCAmelCase								=						{'vocab_file': 'vocab.txt'}

__UpperCAmelCase								=						{
    'vocab_file': {
        'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt',
        'YituTech/conv-bert-medium-small': (
            'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt'
        ),
        'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt',
    }
}

__UpperCAmelCase								=						{
    'YituTech/conv-bert-base': 512,
    'YituTech/conv-bert-medium-small': 512,
    'YituTech/conv-bert-small': 512,
}


__UpperCAmelCase								=						{
    'YituTech/conv-bert-base': {'do_lower_case': True},
    'YituTech/conv-bert-medium-small': {'do_lower_case': True},
    'YituTech/conv-bert-small': {'do_lower_case': True},
}



class   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



		_snake_case    :    Optional[int]       						=  VOCAB_FILES_NAMES
		_snake_case    :    int       						=  PRETRAINED_VOCAB_FILES_MAP
		_snake_case    :    Dict       						=  PRETRAINED_INIT_CONFIGURATION
		_snake_case    :    List[str]       						=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_snake_case    :    Any       						=  ConvBertTokenizer



		def __init__(							self				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=True				,		_UpperCamelCase="[UNK]"				,		_UpperCamelCase="[SEP]"				,		_UpperCamelCase="[PAD]"				,		_UpperCamelCase="[CLS]"				,		_UpperCamelCase="[MASK]"				,		_UpperCamelCase=True				,		_UpperCamelCase=None				,		**_UpperCamelCase				,		)	->							Dict:
							super().__init__(
							    _UpperCamelCase				,		tokenizer_file=_UpperCamelCase				,		do_lower_case=_UpperCamelCase				,		unk_token=_UpperCamelCase				,		sep_token=_UpperCamelCase				,		pad_token=_UpperCamelCase				,		cls_token=_UpperCamelCase				,		mask_token=_UpperCamelCase				,		tokenize_chinese_chars=_UpperCamelCase				,		strip_accents=_UpperCamelCase				,		**_UpperCamelCase				,		)

							UpperCAmelCase_    :      Optional[int]            =						json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
							if (
							    normalizer_state.get('lowercase'				,		_UpperCamelCase   ) != do_lower_case
							    or normalizer_state.get('strip_accents'				,		_UpperCamelCase   ) != strip_accents
							    or normalizer_state.get('handle_chinese_chars'				,		_UpperCamelCase   ) != tokenize_chinese_chars
							):
												UpperCAmelCase_    :      Any            =						getattr(_UpperCamelCase				,		normalizer_state.pop('type'   )   )
												UpperCAmelCase_    :      str            =						do_lower_case
												UpperCAmelCase_    :      List[Any]            =						strip_accents
												UpperCAmelCase_    :      str            =						tokenize_chinese_chars
												UpperCAmelCase_    :      Tuple            =						normalizer_class(**_UpperCamelCase   )

							UpperCAmelCase_    :      Any            =						do_lower_case



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase=None   )	->							List[str]:
							UpperCAmelCase_    :      int            =						[self.cls_token_id] + token_ids_a + [self.sep_token_id]

							if token_ids_a:
												output += token_ids_a + [self.sep_token_id]

							return output



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase = None   )	->							List[int]:
							UpperCAmelCase_    :      Union[str, Any]            =						[self.sep_token_id]
							UpperCAmelCase_    :      int            =						[self.cls_token_id]
							if token_ids_a is None:
												return len(cls + token_ids_a + sep   ) * [0]
							return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase = None   )	->							Tuple[str]:
							UpperCAmelCase_    :      Any            =						self._tokenizer.model.save(_UpperCamelCase				,		name=_UpperCamelCase   )
							return tuple(_UpperCamelCase   )






