






'''simple docstring'''
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_camembert import CamembertTokenizer
else:
  a_ 		=       None


a_ 		=       logging.get_logger(__name__)

a_ 		=       {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

a_ 		=       {
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/tokenizer.json',
    },
}

a_ 		=       {
    'camembert-base': 5_1_2,
}

a_ 		=       '▁'






class    __SCREAMING_SNAKE_CASE					(	_UpperCAmelCase ):
 snake_case_     							=							VOCAB_FILES_NAMES
 snake_case_     							=							PRETRAINED_VOCAB_FILES_MAP
 snake_case_     							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 snake_case_     							=							["""input_ids""", """attention_mask"""]
 snake_case_     							=							CamembertTokenizer




 def __init__(					self		:							Optional[Any]    ,					__lowercase		:							Any=None    ,					__lowercase		:							Dict=None    ,					__lowercase		:							int="<s>"    ,					__lowercase		:							Union[str, Any]="</s>"    ,					__lowercase		:							Optional[int]="</s>"    ,					__lowercase		:							Dict="<s>"    ,					__lowercase		:							int="<unk>"    ,					__lowercase		:							int="<pad>"    ,					__lowercase		:							int="<mask>"    ,					__lowercase		:							Optional[Any]=["<s>NOTUSED", "</s>NOTUSED"]    ,					**__lowercase		:							Optional[Any]    ,					)		->  List[Any]:
       # Mask token behave like a normal word, i.e. include the space before it
       SCREAMING_SNAKE_CASE__   : List[str]													=AddedToken(UpperCAmelCase_    ,					lstrip=UpperCAmelCase_    ,					rstrip=UpperCAmelCase_					) if isinstance(UpperCAmelCase_    ,					UpperCAmelCase_					) else mask_token

       super().__init__(
           UpperCAmelCase_    ,					tokenizer_file=UpperCAmelCase_    ,					bos_token=UpperCAmelCase_    ,					eos_token=UpperCAmelCase_    ,					sep_token=UpperCAmelCase_    ,					cls_token=UpperCAmelCase_    ,					unk_token=UpperCAmelCase_    ,					pad_token=UpperCAmelCase_    ,					mask_token=UpperCAmelCase_    ,					additional_special_tokens=UpperCAmelCase_    ,					**UpperCAmelCase_    ,					)

       SCREAMING_SNAKE_CASE__   : List[Any]													=vocab_file
       SCREAMING_SNAKE_CASE__   : int													=False if not self.vocab_file else True




 def    __magic_name__		(					self		:							List[Any]    ,					__lowercase		:							List[int]    ,					__lowercase		:							Optional[List[int]] = None					)		->  Union[str, Any]:

       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       SCREAMING_SNAKE_CASE__   : List[str]													=[self.cls_token_id]
       SCREAMING_SNAKE_CASE__   : Tuple													=[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep




 def    __magic_name__		(					self		:							Any    ,					__lowercase		:							List[int]    ,					__lowercase		:							Optional[List[int]] = None					)		->  Dict:
       SCREAMING_SNAKE_CASE__   : Any													=[self.sep_token_id]
       SCREAMING_SNAKE_CASE__   : 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]




 def    __magic_name__		(					self		:							int    ,					__lowercase		:							str    ,					__lowercase		:							Optional[str] = None					)		->  Tuple:
       if not self.can_save_slow_tokenizer:
             raise ValueError(
                 '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                 '''tokenizer.'''					)

       if not os.path.isdir(UpperCAmelCase_					):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"					)
             return
       SCREAMING_SNAKE_CASE__   : Optional[Any]													=os.path.join(
           UpperCAmelCase_    ,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)

       if os.path.abspath(self.vocab_file					) != os.path.abspath(UpperCAmelCase_					):
             copyfile(self.vocab_file    ,					UpperCAmelCase_					)

       return (out_vocab_file,)

import os






def 							_lowercase							(     )		->		List[str]:
					'''simple docstring'''


					with open(os.path.dirname(UpperCamelCase_		) + '/p022_names.txt'		) as file:
										SCREAMING_SNAKE_CASE__													= str(file.readlines()[0]		)
										SCREAMING_SNAKE_CASE__													= names.replace('"'	,	''		).split(','		)

					names.sort()

					SCREAMING_SNAKE_CASE__													= 0
					SCREAMING_SNAKE_CASE__													= 0

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

										total_score += (i + 1) * name_score
										SCREAMING_SNAKE_CASE__													= 0
					return total_score


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





