


'''simple docstring'''



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


__lowercase     :						Dict	=     logging.get_logger(__name__)

__lowercase     :						Optional[int]	=     {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

__lowercase     :						Optional[int]	=     {
    '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'
        )
    },
}

__lowercase     :						Optional[int]	=     {
    'facebook/blenderbot_small-90M': 5_12,
}





class 							__UpperCamelCase    (		lowerCAmelCase_ ):
	A_           =   VOCAB_FILES_NAMES
	A_           =   PRETRAINED_VOCAB_FILES_MAP
	A_           =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A_           =   BlenderbotSmallTokenizer




	def __init__(       self						,    __a=None						,    __a=None						,    __a="<|endoftext|>"						,    __a="<|endoftext|>"						,    __a="<|endoftext|>"						,    __a=False						,    __a=True						,    **__a						,    ):

						'''simple docstring'''





						super().__init__(
						    ByteLevelBPETokenizer(
						        vocab=__a						,    merges=__a						,    add_prefix_space=__a						,    trim_offsets=__a						,    )						,    bos_token=__a						,    eos_token=__a						,    unk_token=__a						,    **__a						,    )
						__a      :	Dict    =  add_prefix_space




	def 				__UpperCAmelCase							(       self						,    __a						,    __a=None							):

						'''simple docstring'''





						__a      :	Optional[Any]    =  [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 				__UpperCAmelCase							(       self						,    __a						,    __a = None							):

						'''simple docstring'''





						__a      :	Union[str, Any]    =  [self.sep_token_id]
						__a      :	List[Any]    =  [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]







'''simple docstring'''



import os






def   lowerCamelCase							():
					with open(os.path.dirname(_SCREAMING_SNAKE_CASE       ) + '/p022_names.txt'       ) as file:
										__a      :	List[Any]    =  str(file.readlines()[0]       )
										__a      :	str    =  names.replace('"'						,				''       ).split(','       )

					names.sort()

					__a      :	Union[str, Any]    =  0
					__a      :	Tuple    =  0

					for i, name in enumerate(_SCREAMING_SNAKE_CASE       ):
										for letter in name:
															name_score += ord(_SCREAMING_SNAKE_CASE       ) - 64

										total_score += (i + 1) * name_score
										__a      :	Any    =  0
					return total_score


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



