




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_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







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

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

       SCREAMING_SNAKE_CASE_      		=     Tokenizer(Unigram()		)

       SCREAMING_SNAKE_CASE_      		=     normalizers.Sequence(
           [
               normalizers.Nmt(),
               normalizers.NFKC(),
               normalizers.Replace(Regex(' {2,}'		)							,							' '		),
               normalizers.Lowercase(),
           ]		)
       SCREAMING_SNAKE_CASE_      		=     pre_tokenizers.Sequence(
           [
               pre_tokenizers.Metaspace(replacement=_lowerCAmelCase							,							add_prefix_space=_lowerCAmelCase		),
               pre_tokenizers.Digits(individual_digits=_lowerCAmelCase		),
               pre_tokenizers.Punctuation(),
           ]		)
       SCREAMING_SNAKE_CASE_      		=     decoders.Metaspace(replacement=_lowerCAmelCase							,							add_prefix_space=_lowerCAmelCase		)

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

       SCREAMING_SNAKE_CASE_      		=     {
           'model': 'SentencePieceUnigram',
           'replacement': replacement,
           'add_prefix_space': add_prefix_space,
       }

       super().__init__(_lowerCAmelCase							,							_lowerCAmelCase		)



 def  lowerCAmelCase_    (				self    :						Tuple							,							_lowerCAmelCase    :						Union[str, List[str]]							,							_lowerCAmelCase    :						int = 8_000							,							_lowerCAmelCase    :						bool = True							,							):
       SCREAMING_SNAKE_CASE_      		=     trainers.UnigramTrainer(
           vocab_size=_lowerCAmelCase							,							special_tokens=self.special_tokens_list							,							show_progress=_lowerCAmelCase							,							)

       if isinstance(_lowerCAmelCase							,							_lowerCAmelCase		):
             SCREAMING_SNAKE_CASE_      		=     [files]
       self._tokenizer.train(_lowerCAmelCase							,							trainer=_lowerCAmelCase		)

       self.add_unk_id()



 def  lowerCAmelCase_    (				self    :						Union[str, Any]							,							_lowerCAmelCase    :						Union[Iterator[str], Iterator[Iterator[str]]]							,							_lowerCAmelCase    :						int = 8_000							,							_lowerCAmelCase    :						bool = True							,							):
       SCREAMING_SNAKE_CASE_      		=     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    :						List[Any]		):
       SCREAMING_SNAKE_CASE_      		=     json.loads(self._tokenizer.to_str()		)

       SCREAMING_SNAKE_CASE_      		=     self.special_tokens['unk']['id']

       SCREAMING_SNAKE_CASE_      		=     Tokenizer.from_str(json.dumps(_lowerCAmelCase		)		)





from __future__ import annotations

from collections.abc import Iterator





class 			lowerCamelCase_				:


 '''simple docstring'''







 def __init__(				self    :						Union[str, Any]							,							_lowerCAmelCase    :						int		):
       SCREAMING_SNAKE_CASE_      		=     value
       SCREAMING_SNAKE_CASE_      		=     None
       SCREAMING_SNAKE_CASE_      		=     None





class 			lowerCamelCase_				:


 '''simple docstring'''







 def __init__(				self    :						int							,							_lowerCAmelCase    :						Node		):
       SCREAMING_SNAKE_CASE_      		=     tree



 def  lowerCAmelCase_    (				self    :						Union[str, Any]							,							_lowerCAmelCase    :						Node | None		):
       if node is None:
             return 0
       return node.value + (
           self.depth_first_search(node.left		) + self.depth_first_search(node.right		)
       )




 def __iter__(				self    :						Dict		):
       yield self.depth_first_search(self.tree		)


if __name__ == "__main__":
   import doctest

   doctest.testmod()