


"""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 			__snake_case   (lowerCamelCase  ):




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

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

										__lowerCamelCase          =      Tokenizer(Unigram()   )

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

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

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

										super().__init__(A_     ,							A_   )




							def   __a   (     self:    Dict     ,							A_:    Union[str, List[str]]     ,							A_:    int = 80_00     ,							A_:    bool = True     ,							):
										__lowerCamelCase          =      trainers.UnigramTrainer(
										    vocab_size=A_     ,							special_tokens=self.special_tokens_list     ,							show_progress=A_     ,							)

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

										self.add_unk_id()




							def   __a   (     self:    Optional[int]     ,							A_:    Union[Iterator[str], Iterator[Iterator[str]]]     ,							A_:    int = 80_00     ,							A_:    bool = True     ,							):
										__lowerCamelCase          =      trainers.UnigramTrainer(
										    vocab_size=A_     ,							special_tokens=self.special_tokens_list     ,							show_progress=A_     ,							)

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

										self.add_unk_id()




							def   __a   (     self:    str   ):
										__lowerCamelCase          =      json.loads(self._tokenizer.to_str()   )

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

										__lowerCamelCase          =      Tokenizer.from_str(json.dumps(A_   )   )








"""simple docstring"""




def       a_ (	lowercase__ :str,			lowercase__ :int     ):
			return [sentence[i : i + ngram_size] for i in range(len(lowercase__     ) - ngram_size + 1     )]


if __name__ == "__main__":
					from doctest import testmod

					testmod()




