


from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


A	:		List[str]    =       logging.get_logger(__name__)

A	:		str    =       {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

A	:		List[Any]    =       {
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

A	:		List[Any]    =       {
    'facebook/blenderbot_small-90M': 5_1_2,
}



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			VOCAB_FILES_NAMES
					A__      =			PRETRAINED_VOCAB_FILES_MAP
					A__      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					A__      =			BlenderbotSmallTokenizer

					def __init__(self   :						Union[str, Any]				, _UpperCAmelCase   :						Tuple=None				, _UpperCAmelCase   :						List[Any]=None				, _UpperCAmelCase   :						Any="<|endoftext|>"				, _UpperCAmelCase   :						List[Any]="<|endoftext|>"				, _UpperCAmelCase   :						Union[str, Any]="<|endoftext|>"				, _UpperCAmelCase   :						Optional[Any]=False				, _UpperCAmelCase   :						Any=True				, **_UpperCAmelCase   :						int				, )						->       List[Any]:




							"""simple docstring"""


							super().__init__(
							    ByteLevelBPETokenizer(
							        vocab=_UpperCAmelCase				, merges=_UpperCAmelCase				, add_prefix_space=_UpperCAmelCase				, trim_offsets=_UpperCAmelCase				, )				, bos_token=_UpperCAmelCase				, eos_token=_UpperCAmelCase				, unk_token=_UpperCAmelCase				, **_UpperCAmelCase				, )
							lowercase__					      =		add_prefix_space

					def   lowerCamelCase__					(self   :						Tuple				, _UpperCAmelCase   :						Union[str, Any]				, _UpperCAmelCase   :						Optional[Any]=None		)						->       List[Any]:




							"""simple docstring"""


							lowercase__					      =		[self.bos_token_id] + token_ids_a + [self.eos_token_id]
							if token_ids_a is None:
									return output

							return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]


					def   lowerCamelCase__					(self   :						str				, _UpperCAmelCase   :						List[int]				, _UpperCAmelCase   :						Optional[List[int]] = None		)						->       List[int]:




							"""simple docstring"""


							lowercase__					      =		[self.sep_token_id]
							lowercase__					      =		[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 + sep + token_ids_a + sep		) * [0]





from functools import lru_cache






def 			UpperCamelCase (     __magic_name__					:							int					)       ->  set:
		"""simple docstring"""




		lowercase__					      =		2
		lowercase__					      =		set()
		while i * i <= n:
				if n % i:
						i += 1
				else:
						n //= i
						factors.add(__magic_name__					)
		if n > 1:
				factors.add(__magic_name__					)
		return factors






@lru_cache
def 			UpperCamelCase (     __magic_name__					:							int					)       ->  int:
		"""simple docstring"""




		return len(unique_prime_factors(__magic_name__					)					)






def 			UpperCamelCase (     __magic_name__					:							list					)       ->  bool:
		"""simple docstring"""




		return len(set(__magic_name__					)					) in (0, 1)






def 			UpperCamelCase (     __magic_name__					:							int					)       ->  list:
		"""simple docstring"""




		lowercase__					      =		2

		while True:
				# Increment each value of a generated range
				lowercase__					      =		[base + i for i in range(__magic_name__					)]

				# Run elements through out unique_prime_factors function
				# Append our target number to the end.
				lowercase__					      =		[upf_len(__magic_name__					) for x in group]
				checker.append(__magic_name__					)

				# If all numbers in the list are equal, return the group variable.
				if equality(__magic_name__					):
						return group

				# Increment our base variable by 1
				base += 1






def 			UpperCamelCase (     __magic_name__					:							int = 4					)       ->  int:
		"""simple docstring"""




		lowercase__					      =		run(__magic_name__					)
		return results[0] if len(__magic_name__					) else None


if __name__ == "__main__":
	print(solution())

