
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 					lowerCamelCase		(  _lowerCamelCase  ):





     def __init__(self				:   int    ,   _A				:   str = "▁"    ,   _A				:   bool = True    ,   _A				:   Union[str, AddedToken] = "<unk>"    ,   _A				:   Union[str, AddedToken] = "</s>"    ,   _A				:   Union[str, AddedToken] = "<pad>"    ,   )						->						int:
         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=_A    ,   add_prefix_space=_A       ),
                 pre_tokenizers.Digits(individual_digits=_A       ),
                 pre_tokenizers.Punctuation(),
             ]       )
         snake_case								= decoders.Metaspace(replacement=_A    ,   add_prefix_space=_A       )

         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__(_A    ,   _A       )





     def 		UpperCAmelCase(self				:   Tuple    ,   _A				:   Union[str, List[str]]    ,   _A				:   int = 8_0_0_0    ,   _A				:   bool = True    ,   )						->						Optional[int]:
         snake_case								= trainers.UnigramTrainer(
             vocab_size=_A    ,   special_tokens=self.special_tokens_list    ,   show_progress=_A    ,   )

         if isinstance(_A    ,   _A       ):
             snake_case								= [files]
         self._tokenizer.train(_A    ,   trainer=_A       )

         self.add_unk_id()





     def 		UpperCAmelCase(self				:   Union[str, Any]    ,   _A				:   Union[Iterator[str], Iterator[Iterator[str]]]    ,   _A				:   int = 8_0_0_0    ,   _A				:   bool = True    ,   )						->						List[str]:
         snake_case								= 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 		UpperCAmelCase(self				:   List[str]       )						->						str:
         snake_case								= json.loads(self._tokenizer.to_str()       )

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

         snake_case								= Tokenizer.from_str(json.dumps(_A       )       )



from ..utils import DummyObject, requires_backends







class 					lowerCamelCase		(  metaclass=A_  ):
     UpperCAmelCase__    :							Union[str, Any]									=		["onnx"]





     def __init__(self				:   Tuple    ,   *_A				:   Optional[int]    ,   **_A				:   Any       )						->						Dict:
         requires_backends(self    ,   ["onnx"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   int    ,   *_A				:   Dict    ,   **_A				:   List[Any]       )						->						Optional[Any]:
         requires_backends(cls    ,   ["onnx"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   Dict    ,   *_A				:   Tuple    ,   **_A				:   Optional[Any]       )						->						int:
         requires_backends(cls    ,   ["onnx"]       )

