


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(  _a   ):


					def __init__(						self	:		List[str]     ,    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>"     ,    )			->	Optional[Any]:




											'''simple docstring'''

											__snake_case				=		{
											    "pad": {"id": 0, "token": pad_token},
											    "eos": {"id": 1, "token": eos_token},
											    "unk": {"id": 2, "token": unk_token},
											}

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

											__snake_case				=		Tokenizer(Unigram()						)

											__snake_case				=		normalizers.Sequence(
											    [
											        normalizers.Nmt(),
											        normalizers.NFKC(),
											        normalizers.Replace(Regex(" {2,}"						)     ,    " "						),
											        normalizers.Lowercase(),
											    ]						)
											__snake_case				=		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(),
											    ]						)
											__snake_case				=		decoders.Metaspace(replacement=SCREAMING_SNAKE_CASE     ,    add_prefix_space=SCREAMING_SNAKE_CASE						)

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

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

											super().__init__(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Union[str, Any]     ,    SCREAMING_SNAKE_CASE	:		Union[str, List[str]]     ,    SCREAMING_SNAKE_CASE	:		int = 8_0_0_0     ,    SCREAMING_SNAKE_CASE	:		bool = True     ,    )			->	Optional[Any]:




											'''simple docstring'''

											__snake_case				=		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						):
																	__snake_case				=		[files]
											self._tokenizer.train(SCREAMING_SNAKE_CASE     ,    trainer=SCREAMING_SNAKE_CASE						)

											self.add_unk_id()


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[int]     ,    SCREAMING_SNAKE_CASE	:		Union[Iterator[str], Iterator[Iterator[str]]]     ,    SCREAMING_SNAKE_CASE	:		int = 8_0_0_0     ,    SCREAMING_SNAKE_CASE	:		bool = True     ,    )			->	Any:




											'''simple docstring'''

											__snake_case				=		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	:		Dict						)			->	Union[str, Any]:




											'''simple docstring'''

											__snake_case				=		json.loads(self._tokenizer.to_str()						)

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

											__snake_case				=		Tokenizer.from_str(json.dumps(SCREAMING_SNAKE_CASE						)						)









import os
from typing import Dict, List, Tuple, TypeVar, Union


A							:					List[Any]     						=     TypeVar('T')

A							:					Dict     						=     Union[List[T], Tuple[T, ...]]
A							:					Any     						=     Union[T, List[T], Dict[str, T]]
A							:					Optional[int]     						=     Union[str, bytes, os.PathLike]





