

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 						__magic_name__    (       _snake_case    ):


 def __init__(						self		: Any			,						lowerCAmelCase__		: str = "▁"			,						lowerCAmelCase__		: bool = True			,						lowerCAmelCase__		: Union[str, AddedToken] = "<unk>"			,						lowerCAmelCase__		: Union[str, AddedToken] = "</s>"			,						lowerCAmelCase__		: Union[str, AddedToken] = "<pad>"			,						)    ->      Optional[Any]:
   UpperCAmelCase					      =  {
       "pad": {"id": 0, "token": pad_token},
       "eos": {"id": 1, "token": eos_token},
       "unk": {"id": 2, "token": unk_token},
   }

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

   UpperCAmelCase					      =  Tokenizer(Unigram()    )

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

   UpperCAmelCase					      =  TemplateProcessing(
       single=f"$A {self.special_tokens['eos']['token']}"			,						special_tokens=[(self.special_tokens["eos"]["token"], self.special_tokens["eos"]["id"])]			,						)

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

   super().__init__(lowerCAmelCase__			,						lowerCAmelCase__    )


 def _UpperCamelCase	(						self		: Any			,						lowerCAmelCase__		: Union[str, List[str]]			,						lowerCAmelCase__		: int = 8_0_0_0			,						lowerCAmelCase__		: bool = True			,						)    ->      List[str]:
   UpperCAmelCase					      =  trainers.UnigramTrainer(
       vocab_size=lowerCAmelCase__			,						special_tokens=self.special_tokens_list			,						show_progress=lowerCAmelCase__			,						)

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

   self.add_unk_id()


 def _UpperCamelCase	(						self		: Tuple			,						lowerCAmelCase__		: Union[Iterator[str], Iterator[Iterator[str]]]			,						lowerCAmelCase__		: int = 8_0_0_0			,						lowerCAmelCase__		: bool = True			,						)    ->      List[Any]:
   UpperCAmelCase					      =  trainers.UnigramTrainer(
       vocab_size=lowerCAmelCase__			,						special_tokens=self.special_tokens_list			,						show_progress=lowerCAmelCase__			,						)

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

   self.add_unk_id()


 def _UpperCamelCase	(						self		: List[Any]    )    ->      Dict:
   UpperCAmelCase					      =  json.loads(self._tokenizer.to_str()    )

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

   UpperCAmelCase					      =  Tokenizer.from_str(json.dumps(lowerCAmelCase__    )    )






def      _lowerCAmelCase(	__A			):

  if not isinstance(__A   ,       __A			):
    raise TypeError("only integers accepted as input"			)
  else:
    UpperCAmelCase					      =  str(abs(__A			)			)
    UpperCAmelCase					      =  [list(__A			) for char in range(len(__A			)			)]
    for index in range(len(__A			)			):
      num_transpositions[index].pop(__A			)
    return max(
        int("".join(list(__A			)			)			) for transposition in num_transpositions			)


if __name__ == "__main__":
      __import__("doctest").testmod()



