


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		      = None


lowerCamelCase		      = logging.get_logger(__name__)

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

lowerCamelCase		      = {
    '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		      = {
    'facebook/xglm-564M': 20_48,
}




class 			A						(     UpperCamelCase_  ):
      UpperCamelCase__							:						Optional[Any]   =VOCAB_FILES_NAMES
      UpperCamelCase__							:						Dict   =PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase__							:						str   =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase__							:						Optional[Any]   =['input_ids', 'attention_mask']
      UpperCamelCase__							:						Dict   =XGLMTokenizer






      def __init__(      self		:  Optional[Any]    ,     lowercase_		:  str=None    ,     lowercase_		:  Optional[Any]=None    ,     lowercase_		:  Union[str, Any]="<s>"    ,     lowercase_		:  Optional[Any]="</s>"    ,     lowercase_		:  Union[str, Any]="</s>"    ,     lowercase_		:  Optional[int]="<s>"    ,     lowercase_		:  Dict="<unk>"    ,     lowercase_		:  List[Any]="<pad>"    ,     **lowercase_		:  Union[str, Any]    ,     )      ->		Optional[Any]:
             """simple docstring"""




             _lowerCamelCase :	Tuple						=7
             _lowerCamelCase :	Optional[Any]						=[F'''<madeupword{i}>''' for i in range(self.num_madeup_words				)]

             _lowerCamelCase :	Dict						=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_    ,     )

             _lowerCamelCase :	Union[str, Any]						=vocab_file
             _lowerCamelCase :	Union[str, Any]						=False if not self.vocab_file else True






      def  lowerCamelCase (      self		:  Union[str, Any]    ,     lowercase_		:  List[int]    ,     lowercase_		:  Optional[List[int]] = None				)      ->		List[int]:
             """simple docstring"""




             if token_ids_a is None:
                    return [self.sep_token_id] + token_ids_a
             _lowerCamelCase :	List[str]						=[self.sep_token_id]
             return sep + token_ids_a + sep + sep + token_ids_a






      def  lowerCamelCase (      self		:  Any    ,     lowercase_		:  List[int]    ,     lowercase_		:  Optional[List[int]] = None				)      ->		List[int]:
             """simple docstring"""




             _lowerCamelCase :	Dict						=[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  lowerCamelCase (      self		:  List[str]    ,     lowercase_		:  str    ,     lowercase_		:  Optional[str] = None				)      ->		Tuple[str]:
             """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
             _lowerCamelCase :	str						=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,)






from __future__ import annotations

from collections.abc import Generator




def 			a_   (					SCREAMING_SNAKE_CASE__      :   int  ):
       '''simple docstring'''





       if not isinstance(SCREAMING_SNAKE_CASE__	,    SCREAMING_SNAKE_CASE__  ) or n < 1:
              raise Exception('Sequence only defined for positive integers'  )

       yield n
       while n != 1:
              if n % 2 == 0:
                     n //= 2
              else:
                     _lowerCamelCase :	Optional[int]						=3 * n + 1
              yield n




def 			a_   (					):
       '''simple docstring'''





       _lowerCamelCase :	Dict						=43
       _lowerCamelCase :	Dict						=tuple(collatz_sequence(SCREAMING_SNAKE_CASE__  )  )
       print(SCREAMING_SNAKE_CASE__  )
       print(F'''Collatz sequence from {n} took {len(SCREAMING_SNAKE_CASE__  )} steps.'''  )


if __name__ == "__main__":
 main()


