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_fnet import FNetTokenizer
else:
     __snake_case						=			None

__snake_case						=			logging.get_logger(__name__)
__snake_case						=			{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

__snake_case						=			{
    'vocab_file': {
        'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/spiece.model',
        'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json',
        'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json',
    },
}

__snake_case						=			{
    'google/fnet-base': 5_12,
    'google/fnet-large': 5_12,
}

__snake_case						=			'▁'







class 	__snake_case      (   lowerCAmelCase__      ):
 __lowerCamelCase			:      int           =					VOCAB_FILES_NAMES
 __lowerCamelCase			:      Tuple           =					PRETRAINED_VOCAB_FILES_MAP
 __lowerCamelCase			:      Dict           =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCamelCase			:      Optional[int]           =					["""input_ids""", """token_type_ids"""]
 __lowerCamelCase			:      List[str]           =					FNetTokenizer
 def __init__(     self						,      snake_case__=None						,      snake_case__=None						,      snake_case__=False						,      snake_case__=True						,      snake_case__=True						,      snake_case__="<unk>"						,      snake_case__="[SEP]"						,      snake_case__="<pad>"						,      snake_case__="[CLS]"						,      snake_case__="[MASK]"						,      **snake_case__						,      )		->							str:
       '''simple docstring'''





       UpperCAmelCase			:       Any			     =(
           AddedToken(UpperCamelCase__						,      lstrip=UpperCamelCase__						,      rstrip=UpperCamelCase__						,      normalized=UpperCamelCase__  )
           if isinstance(UpperCamelCase__						,      UpperCamelCase__  )
           else mask_token
       )

       super().__init__(
           UpperCamelCase__						,      tokenizer_file=UpperCamelCase__						,      do_lower_case=UpperCamelCase__						,      remove_space=UpperCamelCase__						,      keep_accents=UpperCamelCase__						,      unk_token=UpperCamelCase__						,      sep_token=UpperCamelCase__						,      pad_token=UpperCamelCase__						,      cls_token=UpperCamelCase__						,      mask_token=UpperCamelCase__						,      **UpperCamelCase__						,      )

       UpperCAmelCase			:       Optional[Any]			     =do_lower_case
       UpperCAmelCase			:       Union[str, Any]			     =remove_space
       UpperCAmelCase			:       str			     =keep_accents
       UpperCAmelCase			:       Optional[Any]			     =vocab_file
       UpperCAmelCase			:       List[Any]			     =False if not self.vocab_file else True
 def 		UpperCAmelCase__				(     self						,      snake_case__						,      snake_case__ = None  )		->							List[int]:
       '''simple docstring'''





       UpperCAmelCase			:       int			     =[self.sep_token_id]
       UpperCAmelCase			:       Union[str, Any]			     =[self.cls_token_id]
       if token_ids_a is None:
             return cls + token_ids_a + sep
       return cls + token_ids_a + sep + token_ids_a + sep
 def 		UpperCAmelCase__				(     self						,      snake_case__						,      snake_case__ = None  )		->							List[int]:
       '''simple docstring'''





       UpperCAmelCase			:       List[str]			     =[self.sep_token_id]
       UpperCAmelCase			:       Tuple			     =[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  ) * [0] + len(token_ids_a + sep  ) * [1]






 def 		UpperCAmelCase__				(     self						,      snake_case__						,      snake_case__ = None  )		->							Tuple[str]:
       '''simple docstring'''





       if not os.path.isdir(UpperCamelCase__  ):
             logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''  )
             return
       UpperCAmelCase			:       int			     =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,)






def      A      (      _SCREAMING_SNAKE_CASE    )	-> list:
       if n_term == "":
              return []
       lowerCamelCase   :      list			 =					[]
       for temp in range(int(_SCREAMING_SNAKE_CASE    )    ):
              series.append(f'''1/{temp + 1}''' if series else "1"    )
       return series


if __name__ == "__main__":
       SCREAMING_SNAKE_CASE__       :      Dict  =   input('Enter the last number (nth term) of the Harmonic Series')
       print('Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n')
       print(harmonic_series(nth_term))






