



"""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__     (						__SCREAMING_SNAKE_CASE							):




	'''simple docstring'''





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

				"""simple docstring"""

				__lowerCAmelCase   :						Optional[Any]				= {
				    "pad": {"id": 0, "token": pad_token},
				    "eos": {"id": 1, "token": eos_token},
				    "unk": {"id": 2, "token": unk_token},
				}

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

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

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

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

				__lowerCAmelCase   :						Dict				= {
				    "model": "SentencePieceUnigram",
				    "replacement": replacement,
				    "add_prefix_space": add_prefix_space,
				}

				super().__init__(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	int ,    _SCREAMING_SNAKE_CASE:	Union[str, List[str]] ,    _SCREAMING_SNAKE_CASE:	int = 8000 ,    _SCREAMING_SNAKE_CASE:	bool = True ,    )       -> List[str]:

				"""simple docstring"""

				__lowerCAmelCase   :						str				= trainers.UnigramTrainer(
				    vocab_size=_SCREAMING_SNAKE_CASE ,    special_tokens=self.special_tokens_list ,    show_progress=_SCREAMING_SNAKE_CASE ,    )

				if isinstance(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE):
							__lowerCAmelCase   :						Optional[int]				= [files]
				self._tokenizer.train(_SCREAMING_SNAKE_CASE ,    trainer=_SCREAMING_SNAKE_CASE)

				self.add_unk_id()

	def 							_SCREAMING_SNAKE_CASE     (  self:	str ,    _SCREAMING_SNAKE_CASE:	Union[Iterator[str], Iterator[Iterator[str]]] ,    _SCREAMING_SNAKE_CASE:	int = 8000 ,    _SCREAMING_SNAKE_CASE:	bool = True ,    )       -> List[str]:

				"""simple docstring"""

				__lowerCAmelCase   :						Any				= trainers.UnigramTrainer(
				    vocab_size=_SCREAMING_SNAKE_CASE ,    special_tokens=self.special_tokens_list ,    show_progress=_SCREAMING_SNAKE_CASE ,    )

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

				self.add_unk_id()







	def 							_SCREAMING_SNAKE_CASE     (  self:	List[str])       -> Any:

				"""simple docstring"""

				__lowerCAmelCase   :						Union[str, Any]				= json.loads(self._tokenizer.to_str())

				__lowerCAmelCase   :						Dict				= self.special_tokens["unk"]["id"]

				__lowerCAmelCase   :						Optional[int]				= Tokenizer.from_str(json.dumps(_SCREAMING_SNAKE_CASE))




"""simple docstring"""






from abc import ABC, abstractmethod
from argparse import ArgumentParser



class     A__     (						__SCREAMING_SNAKE_CASE							):




	'''simple docstring'''





	@staticmethod
	@abstractmethod
	def 							_SCREAMING_SNAKE_CASE     (  _SCREAMING_SNAKE_CASE:	ArgumentParser)       -> str:

				"""simple docstring"""

				raise NotImplementedError()







	@abstractmethod
	def 							_SCREAMING_SNAKE_CASE     (  self:	List[str])       -> str:

				"""simple docstring"""

				raise NotImplementedError()