




'''simple docstring'''


import os
from shutil import copyfile
from typing import List, Optional, Tuple

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


if is_sentencepiece_available():
 from .tokenization_xglm import XGLMTokenizer
else:
 lowerCAmelCase_			:     Any							    =     None


lowerCAmelCase_			:     int							    =     logging.get_logger(__name__)

lowerCAmelCase_			:     List[Any]							    =     {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase_			:     Union[str, Any]							    =     {
    'vocab_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json',
    },
}

lowerCAmelCase_			:     Optional[int]							    =     {
    'facebook/xglm-564M': 2048,
}







class     SCREAMING_SNAKE_CASE						(	snake_case_							):
      __magic_name__     :					List[str]             =				VOCAB_FILES_NAMES
      __magic_name__     :					Any             =				PRETRAINED_VOCAB_FILES_MAP
      __magic_name__     :					Optional[int]             =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __magic_name__     :					Union[str, Any]             =				['''input_ids''', '''attention_mask''']
      __magic_name__     :					List[Any]             =				XGLMTokenizer






      def __init__(   self      :     Dict	,	lowercase__      :     List[str]=None	,	lowercase__      :     int=None	,	lowercase__      :     Dict="<s>"	,	lowercase__      :     List[str]="</s>"	,	lowercase__      :     Tuple="</s>"	,	lowercase__      :     Tuple="<s>"	,	lowercase__      :     str="<unk>"	,	lowercase__      :     int="<pad>"	,	**lowercase__      :     List[Any]	,	):


           '''simple docstring'''

           a_    :       Optional[Any]    	=     7
           a_    :       Dict    	=     [F"<madeupword{i}>" for i in range(self.num_madeup_words					)]

           a_    :       Optional[Any]    	=     kwargs.get("""additional_special_tokens"""	,	[]					)
           kwargs["additional_special_tokens"] += [
               word for word in madeup_words if word not in kwargs["additional_special_tokens"]
           ]

           super().__init__(
               lowercase__	,	tokenizer_file=lowercase__	,	bos_token=lowercase__	,	eos_token=lowercase__	,	sep_token=lowercase__	,	cls_token=lowercase__	,	unk_token=lowercase__	,	pad_token=lowercase__	,	**lowercase__	,	)

           a_    :       List[Any]    	=     vocab_file
           a_    :       Optional[Any]    	=     False if not self.vocab_file else True






      def        lowercase_	(   self      :     int	,	lowercase__      :     List[int]	,	lowercase__      :     Optional[List[int]] = None					):


           '''simple docstring'''

           if token_ids_a is None:
                return [self.sep_token_id] + token_ids_a
           a_    :       Tuple    	=     [self.sep_token_id]
           return sep + token_ids_a + sep + sep + token_ids_a






      def        lowercase_	(   self      :     int	,	lowercase__      :     List[int]	,	lowercase__      :     Optional[List[int]] = None					):


           '''simple docstring'''

           a_    :       Optional[int]    	=     [self.sep_token_id]

           if token_ids_a is None:
                return len(sep + token_ids_a					) * [0]
           return len(sep + token_ids_a + sep + sep + token_ids_a					) * [0]






      def        lowercase_	(   self      :     Union[str, Any]	,	lowercase__      :     str	,	lowercase__      :     Optional[str] = None					):


           '''simple docstring'''

           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(lowercase__					):
                logger.error(F"Vocabulary path ({save_directory}) should be a directory."					)
                return
           a_    :       List[Any]    	=     os.path.join(
               lowercase__	,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)

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

           return (out_vocab_file,)






'''simple docstring'''


def    _SCREAMING_SNAKE_CASE    (			UpperCamelCase__						:				int = 1000							):




     """simple docstring"""


     return sum(i for i in range(UpperCamelCase__							) if i % 3 == 0 or i % 5 == 0							)


if __name__ == "__main__":
 print(f"{solution() = }")
