'''simple docstring'''


import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing





class       _a    (		__a      ):


  """simple docstring"""

  def __init__(		self      :       Optional[Any]   ,				lowercase_      :       str = "▁"   ,				lowercase_      :       bool = True   ,				lowercase_      :       Union[str, AddedToken] = "<unk>"   ,				lowercase_      :       Union[str, AddedToken] = "</s>"   ,				lowercase_      :       Union[str, AddedToken] = "<pad>"   ,				):







    '''simple docstring'''


    lowercase_     =       {
        """pad""": {"""id""": 0, """token""": pad_token},
        """eos""": {"""id""": 1, """token""": eos_token},
        """unk""": {"""id""": 2, """token""": unk_token},
    }

    lowercase_     =       [None] * len(self.special_tokens      )
    for token_dict in self.special_tokens.values():
      lowercase_     =       token_dict["""token"""]

    lowercase_     =       Tokenizer(Unigram()      )

    lowercase_     =       normalizers.Sequence(
        [
            normalizers.Nmt(),
            normalizers.NFKC(),
            normalizers.Replace(Regex(""" {2,}"""      )   ,				""" """      ),
            normalizers.Lowercase(),
        ]      )
    lowercase_     =       pre_tokenizers.Sequence(
        [
            pre_tokenizers.Metaspace(replacement=lowercase_   ,				add_prefix_space=lowercase_      ),
            pre_tokenizers.Digits(individual_digits=lowercase_      ),
            pre_tokenizers.Punctuation(),
        ]      )
    lowercase_     =       decoders.Metaspace(replacement=lowercase_   ,				add_prefix_space=lowercase_      )

    lowercase_     =       TemplateProcessing(
        single=F"""$A {self.special_tokens["eos"]["token"]}"""   ,				special_tokens=[(self.special_tokens["""eos"""]["""token"""], self.special_tokens["""eos"""]["""id"""])]   ,				)

    lowercase_     =       {
        """model""": """SentencePieceUnigram""",
        """replacement""": replacement,
        """add_prefix_space""": add_prefix_space,
    }

    super().__init__(lowercase_   ,				lowercase_      )




  def 		lowerCamelCase__  (		self      :       Optional[int]   ,				lowercase_      :       Union[str, List[str]]   ,				lowercase_      :       int = 8_000   ,				lowercase_      :       bool = True   ,				):







    '''simple docstring'''


    lowercase_     =       trainers.UnigramTrainer(
        vocab_size=lowercase_   ,				special_tokens=self.special_tokens_list   ,				show_progress=lowercase_   ,				)

    if isinstance(lowercase_   ,				lowercase_      ):
      lowercase_     =       [files]
    self._tokenizer.train(lowercase_   ,				trainer=lowercase_      )

    self.add_unk_id()




  def 		lowerCamelCase__  (		self      :       Tuple   ,				lowercase_      :       Union[Iterator[str], Iterator[Iterator[str]]]   ,				lowercase_      :       int = 8_000   ,				lowercase_      :       bool = True   ,				):







    '''simple docstring'''


    lowercase_     =       trainers.UnigramTrainer(
        vocab_size=lowercase_   ,				special_tokens=self.special_tokens_list   ,				show_progress=lowercase_   ,				)

    self._tokenizer.train_from_iterator(lowercase_   ,				trainer=lowercase_      )

    self.add_unk_id()





  def 		lowerCamelCase__  (		self      :       Any      ):







    '''simple docstring'''


    lowercase_     =       json.loads(self._tokenizer.to_str()      )

    lowercase_     =       self.special_tokens["""unk"""]["""id"""]

    lowercase_     =       Tokenizer.from_str(json.dumps(lowercase_      )      )


'''simple docstring'''


def   A_      (       SCREAMING_SNAKE_CASE_						)			->bool:
  if num < 0:
    return False

  lowercase_     =       num
  lowercase_     =       0
  while num > 0:
    lowercase_     =       rev_num * 10 + (num % 10)
    num //= 10

  return num_copy == rev_num


if __name__ == "__main__":
       import doctest

       doctest.testmod()

