






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:
      __UpperCAmelCase      =				None


__UpperCAmelCase      =				logging.get_logger(__name__)

__UpperCAmelCase      =				{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

__UpperCAmelCase      =				{
    "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",
    },
}

__UpperCAmelCase      =				{
    "facebook/xglm-564M": 2_0_4_8,
}
class 	a_(		lowercase__	):



     """simple docstring"""



     __snake_case		:				str  					=VOCAB_FILES_NAMES
     __snake_case		:				List[str]  					=PRETRAINED_VOCAB_FILES_MAP
     __snake_case		:				Union[str, Any]  					=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __snake_case		:				str  					=['''input_ids''', '''attention_mask''']
     __snake_case		:				Union[str, Any]  					=XGLMTokenizer





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

      """simple docstring"""
      # Compatibility with the original tokenizer
      SCREAMING_SNAKE_CASE				    =		7
      SCREAMING_SNAKE_CASE				    =		[f'''<madeupword{i}>''' for i in range(self.num_madeup_words)]

      SCREAMING_SNAKE_CASE				    =		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__(
          lowerCAmelCase__  ,  tokenizer_file=lowerCAmelCase__  ,  bos_token=lowerCAmelCase__  ,  eos_token=lowerCAmelCase__  ,  sep_token=lowerCAmelCase__  ,  cls_token=lowerCAmelCase__  ,  unk_token=lowerCAmelCase__  ,  pad_token=lowerCAmelCase__  ,  **lowerCAmelCase__  ,  )

      SCREAMING_SNAKE_CASE				    =		vocab_file
      SCREAMING_SNAKE_CASE				    =		False if not self.vocab_file else True





     def     __UpperCamelCase						(		self					:	Optional[Any]  ,  lowerCAmelCase__					:	List[int]  ,  lowerCAmelCase__					:	Optional[List[int]] = None)							->	List[int]:

      """simple docstring"""

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





     def     __UpperCamelCase						(		self					:	Optional[int]  ,  lowerCAmelCase__					:	List[int]  ,  lowerCAmelCase__					:	Optional[List[int]] = None)							->	List[int]:

      """simple docstring"""
      SCREAMING_SNAKE_CASE				    =		[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     __UpperCamelCase						(		self					:	Dict  ,  lowerCAmelCase__					:	str  ,  lowerCAmelCase__					:	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(lowerCAmelCase__):
       logger.error(f'''Vocabulary path ({save_directory}) should be a directory.''')
       return
      SCREAMING_SNAKE_CASE				    =		os.path.join(
          lowerCAmelCase__  ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

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

      return (out_vocab_file,)








import math

def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   int							):
     __UpperCamelCase       				=math.log(2     ,	10							) * number
     __UpperCamelCase       				=round((log_number - int(SCREAMING_SNAKE_CASE__							))     ,	15							)

     return difference

def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   int = 67_89_10							):
     __UpperCamelCase       				=90
     __UpperCamelCase       				=0

     __UpperCamelCase       				=math.log(1.23     ,	10							)
     __UpperCamelCase       				=math.log(1.24     ,	10							)
     __UpperCamelCase       				=0

     while position < number:
          __UpperCamelCase       				=log_difference(SCREAMING_SNAKE_CASE__							)

          if difference >= upper_limit:
               power_iterator += 93

          elif difference < lower_limit:
               power_iterator += 1_96

          else:
               __UpperCamelCase       				=power_iterator
               power_iterator += 1_96
               position += 1

     return previous_power


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   print(f"""{solution() = }""")





