



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 SCREAMING_SNAKE_CASE__     (		SCREAMING_SNAKE_CASE__    ):




    '''simple docstring'''






    def __init__(       self,		lowerCamelCase__ = "▁",		lowerCamelCase__ = True,		lowerCamelCase__ = "<unk>",		lowerCamelCase__ = "</s>",		lowerCamelCase__ = "<pad>",		):
        A :       str          =   {
            """pad""": {"""id""": 0, """token""": pad_token},
            """eos""": {"""id""": 1, """token""": eos_token},
            """unk""": {"""id""": 2, """token""": unk_token},
        }

        A :       Union[str, Any]          =   [None] * len(self.special_tokens		)
        for token_dict in self.special_tokens.values():
            A :       Union[str, Any]          =   token_dict["""token"""]

        A :       Tuple          =   Tokenizer(Unigram()		)

        A :       Tuple          =   normalizers.Sequence(
            [
                normalizers.Nmt(),
                normalizers.NFKC(),
                normalizers.Replace(Regex(""" {2,}"""		),		""" """		),
                normalizers.Lowercase(),
            ]		)
        A :       List[str]          =   pre_tokenizers.Sequence(
            [
                pre_tokenizers.Metaspace(replacement=lowerCamelCase__,		add_prefix_space=lowerCamelCase__		),
                pre_tokenizers.Digits(individual_digits=lowerCamelCase__		),
                pre_tokenizers.Punctuation(),
            ]		)
        A :       Optional[int]          =   decoders.Metaspace(replacement=lowerCamelCase__,		add_prefix_space=lowerCamelCase__		)

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

        A :       Any          =   {
            """model""": """SentencePieceUnigram""",
            """replacement""": replacement,
            """add_prefix_space""": add_prefix_space,
        }

        super().__init__(lowerCamelCase__,		lowerCamelCase__		)






    def 			_lowerCAmelCase					(       self,		lowerCamelCase__,		lowerCamelCase__ = 8000,		lowerCamelCase__ = True,		):
        A :       List[Any]          =   trainers.UnigramTrainer(
            vocab_size=lowerCamelCase__,		special_tokens=self.special_tokens_list,		show_progress=lowerCamelCase__,		)

        if isinstance(lowerCamelCase__,		lowerCamelCase__		):
            A :       Any          =   [files]
        self._tokenizer.train(lowerCamelCase__,		trainer=lowerCamelCase__		)

        self.add_unk_id()






    def 			_lowerCAmelCase					(       self,		lowerCamelCase__,		lowerCamelCase__ = 8000,		lowerCamelCase__ = True,		):
        A :       List[str]          =   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 			_lowerCAmelCase					(       self		):
        A :       Optional[Any]          =   json.loads(self._tokenizer.to_str()		)

        A :       Tuple          =   self.special_tokens["""unk"""]["""id"""]

        A :       Optional[Any]          =   Tokenizer.from_str(json.dumps(lowerCamelCase__		)		)







def 	__UpperCamelCase	(  _lowerCAmelCase		)       ->  list:



    """simple docstring"""






    return [
        txt[:a] + txt[a].upper() + txt[a + 1 :]
        for a in range(len(_lowerCAmelCase		)		)
        if txt[a].isalpha()
    ]


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


