


'''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 						__UpperCamelCase	(						lowercase__							):





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

									snake_case_		:							Tuple			       =						[None] * len(self.special_tokens			)
									for token_dict in self.special_tokens.values():
											snake_case_		:							List[str]			       =						token_dict["""token"""]

									snake_case_		:							List[Any]			       =						Tokenizer(Unigram()			)

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

									snake_case_		:							List[Any]			       =						TemplateProcessing(
									    single=F'''$A {self.special_tokens["eos"]["token"]}'''  ,special_tokens=[(self.special_tokens["""eos"""]["""token"""], self.special_tokens["""eos"""]["""id"""])]  ,)

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

									super().__init__(_UpperCamelCase  ,_UpperCamelCase			)





							def 		a__   (  self		:Tuple  ,_UpperCamelCase		:Union[str, List[str]]  ,_UpperCamelCase		:int = 8_0_0_0  ,_UpperCamelCase		:bool = True  ,):
									snake_case_		:							Dict			       =						trainers.UnigramTrainer(
									    vocab_size=_UpperCamelCase  ,special_tokens=self.special_tokens_list  ,show_progress=_UpperCamelCase  ,)

									if isinstance(_UpperCamelCase  ,_UpperCamelCase			):
											snake_case_		:							str			       =						[files]
									self._tokenizer.train(_UpperCamelCase  ,trainer=_UpperCamelCase			)

									self.add_unk_id()





							def 		a__   (  self		:Any  ,_UpperCamelCase		:Union[Iterator[str], Iterator[Iterator[str]]]  ,_UpperCamelCase		:int = 8_0_0_0  ,_UpperCamelCase		:bool = True  ,):
									snake_case_		:							Tuple			       =						trainers.UnigramTrainer(
									    vocab_size=_UpperCamelCase  ,special_tokens=self.special_tokens_list  ,show_progress=_UpperCamelCase  ,)

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

									self.add_unk_id()





							def 		a__   (  self		:List[str]			):
									snake_case_		:							Dict			       =						json.loads(self._tokenizer.to_str()			)

									snake_case_		:							str			       =						self.special_tokens["""unk"""]["""id"""]

									snake_case_		:							Dict			       =						Tokenizer.from_str(json.dumps(_UpperCamelCase			)			)



'''simple docstring'''






def      UpperCAmelCase      (		lowerCamelCase_  :str ):







		'''simple docstring'''
		return " ".join(
		    """""".join(word[::-1] ) if len(lowerCamelCase_ ) > 4 else word for word in sentence.split() )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							print(reverse_long_words('Hey wollef sroirraw'))