





from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


a_    :				Any					=			logging.get_logger(__name__)



class  SCREAMING_SNAKE_CASE_  ( SCREAMING_SNAKE_CASE__			):


  """simple docstring"""





  _a								=							["""input_ids""", """attention_mask"""]





  def __init__(  self	,  A="[PAD]"	,  A="[BOS]"	,  A="[EOS]"	,  A="[MASK]"	,  A="[CLS]"	,  A="[SEP]"	,  A=20_48	,  **A	,  )		->   None:





       '''simple docstring'''







       __magic_name__				=       AddedToken(A	,  lstrip=A	,  rstrip=A						) if isinstance(A	,  A						) else pad_token
       __magic_name__				=       AddedToken(A	,  lstrip=A	,  rstrip=A						) if isinstance(A	,  A						) else bos_token
       __magic_name__				=       AddedToken(A	,  lstrip=A	,  rstrip=A						) if isinstance(A	,  A						) else eos_token
       __magic_name__				=       AddedToken(A	,  lstrip=A	,  rstrip=A						) if isinstance(A	,  A						) else mask_token
       __magic_name__				=       AddedToken(A	,  lstrip=A	,  rstrip=A						) if isinstance(A	,  A						) else cls_token
       __magic_name__				=       AddedToken(A	,  lstrip=A	,  rstrip=A						) if isinstance(A	,  A						) else sep_token

       super().__init__(
           pad_token=A	,  bos_token=A	,  eos_token=A	,  mask_token=A	,  cls_token=A	,  sep_token=A	,  model_max_length=A	,  **A	,  )

       __magic_name__				=       2**8  # utf is 8 bits

       # define special tokens dict
       __magic_name__				=       {
           self.pad_token: 0,
           self.bos_token: 1,
           self.eos_token: 2,
           self.mask_token: 3,
           self.cls_token: 4,
           self.sep_token: 5,
       }
       __magic_name__				=       len(self.special_tokens_encoder						)
       __magic_name__				=       {v: k for k, v in self.special_tokens_encoder.items()}





  def 			__A      (  self						)		->   Dict[str, int]:





       '''simple docstring'''







       __magic_name__				=       self.special_tokens_encoder.copy()
       vocab.update(self.added_tokens_encoder						)
       for i in range(self._utf_vocab_size						):
            __magic_name__				=       chr(A						)
            __magic_name__				=       i + len(self.special_tokens_encoder						)
       return vocab





  @property
  def 			__A      (  self						)		->   Union[str, Any]:





       '''simple docstring'''







       return self._utf_vocab_size + self._num_special_tokens





  def 			__A      (  self	,  A	,  A = None	,  A = False						)		->   List[int]:





       '''simple docstring'''







       if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=A	,  token_ids_a=A	,  already_has_special_tokens=A						)

       # normal case: some special tokens
       if token_ids_a is None:
            return [1] + [0] * len(A						) + [1]
       return [1] + ([0] * len(A						)) + [1] + ([0] * len(A						)) + [1]





  def 			__A      (  self	,  A	,  A = None						)		->   List[int]:





       '''simple docstring'''







       if token_ids_a is None:
            return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       else:
            return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]





  def 			__A      (  self	,  A						)		->   List[str]:





       '''simple docstring'''







       __magic_name__				=       [chr(A						) for i in text.encode('''utf-8'''						)]
       return tokens





  def 			__A      (  self	,  A						)		->   List[str]:





       '''simple docstring'''







       if token in self.special_tokens_encoder:
            __magic_name__				=       self.special_tokens_encoder[token]
       elif token in self.added_tokens_encoder:
            __magic_name__				=       self.added_tokens_encoder[token]
       elif len(A						) != 1:
            __magic_name__				=       self.unk_token_id
       else:
            __magic_name__				=       ord(A						) + self._num_special_tokens
       return token_id





  def 			__A      (  self	,  A						)		->   List[str]:





       '''simple docstring'''







       if index in self.special_tokens_decoder:
            __magic_name__				=       self.special_tokens_decoder[index]
       elif index in self.added_tokens_decoder:
            __magic_name__				=       self.added_tokens_decoder[index]
       else:
            __magic_name__				=       chr(index - self._num_special_tokens						)
       return token





  def 			__A      (  self	,  A						)		->   Dict:





       '''simple docstring'''







       __magic_name__				=       b''''''
       for token in tokens:
            if token in self.special_tokens_decoder:
                 __magic_name__				=       self.special_tokens_decoder[token].encode('''utf-8'''						)
            elif token in self.added_tokens_decoder:
                 __magic_name__				=       self.special_tokens_decoder[token].encode('''utf-8'''						)
            elif token in self.special_tokens_encoder:
                 __magic_name__				=       token.encode('''utf-8'''						)
            elif token in self.added_tokens_encoder:
                 __magic_name__				=       token.encode('''utf-8'''						)
            else:
                 __magic_name__				=       bytes([ord(A						)]						)
            bstring += tok_string
       __magic_name__				=       bstring.decode('''utf-8'''	,  errors='''replace'''						)
       return string







  def 			__A      (  self	,  A	,  A = None						)		->   Tuple[str]:





       '''simple docstring'''







       return ()






from ..utils import DummyObject, requires_backends



class  SCREAMING_SNAKE_CASE_  ( metaclass=SCREAMING_SNAKE_CASE__			):


  """simple docstring"""





  _a								=							["""torch""", """transformers""", """k_diffusion"""]





  def __init__(  self	,  *A	,  **A						)		->   Optional[Any]:





       '''simple docstring'''







       requires_backends(self	,  ['''torch''', '''transformers''', '''k_diffusion''']						)





  @classmethod
  def 			__A      (  cls	,  *A	,  **A						)		->   Dict:





       '''simple docstring'''







       requires_backends(cls	,  ['''torch''', '''transformers''', '''k_diffusion''']						)







  @classmethod
  def 			__A      (  cls	,  *A	,  **A						)		->   Optional[Any]:





       '''simple docstring'''







       requires_backends(cls	,  ['''torch''', '''transformers''', '''k_diffusion''']						)