





"""simple docstring"""




import warnings
from typing import Dict, List, Optional, Tuple

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


_a   :	Optional[Any] 					=     logging.get_logger(__name__)
class 		__A							(				SCREAMING_SNAKE_CASE_	):
     _UpperCamelCase							:    Union[str, Any]	      =	["input_ids", "attention_mask"]






     def __init__(	self       ,  a__="</s>"       ,  a__="<unk>"       ,  a__="<pad>"       ,  a__=125       ,  a__=None       ,  **a__       ,  ):
       # Add extra_ids to the special token list
       if extra_ids > 0 and additional_special_tokens is None:
         _lowerCAmelCase		: Dict						    =  [F"<extra_id_{i}>" for i in range(a__						)]
       elif extra_ids > 0 and additional_special_tokens is not None:
         # Check that we have the right number of extra_id special tokens
         _lowerCAmelCase		: int						    =  len(set(filter(lambda a__						: bool("""extra_id""" in str(a__						)						)       ,  a__						)						)						)
         if extra_tokens != extra_ids:
           raise ValueError(
               F"Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are"
               """ provided to ByT5Tokenizer. In this case the additional_special_tokens must include the"""
               """ extra_ids tokens"""						)

       _lowerCAmelCase		: Any						    =  AddedToken(a__       ,  lstrip=a__       ,  rstrip=a__						) if isinstance(a__       ,  a__						) else pad_token
       _lowerCAmelCase		: Any						    =  AddedToken(a__       ,  lstrip=a__       ,  rstrip=a__						) if isinstance(a__       ,  a__						) else eos_token
       _lowerCAmelCase		: Union[str, Any]						    =  AddedToken(a__       ,  lstrip=a__       ,  rstrip=a__						) if isinstance(a__       ,  a__						) else unk_token

       super().__init__(
           eos_token=a__       ,  unk_token=a__       ,  pad_token=a__       ,  extra_ids=a__       ,  additional_special_tokens=a__       ,  **a__       ,  )

       _lowerCAmelCase		: int						    =  extra_ids

       _lowerCAmelCase		: Optional[int]						    =  2**8  # utf is 8 bits

       # define special tokens dict
       _lowerCAmelCase		: Dict[int, str]						    =  {
           self.pad_token: 0,
           self.eos_token: 1,
           self.unk_token: 2,
       }
       _lowerCAmelCase		: Dict						    =  len(self.special_tokens_encoder						)
       _lowerCAmelCase		: Union[str, Any]						    =  len(a__						)
       for i, token in enumerate(a__						):
         _lowerCAmelCase		: Any						    =  self.vocab_size + i - n
       _lowerCAmelCase		: Dict[str, int]						    =  {v: k for k, v in self.special_tokens_encoder.items()}






     @property
     def 					__A						(	self						):
       return self._utf_vocab_size + self._num_special_tokens + self._extra_ids






     def 					__A						(	self       ,  a__       ,  a__ = None       ,  a__ = False						):
       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 ([0] * len(a__						)) + [1]
       return ([0] * len(a__						)) + [1] + ([0] * len(a__						)) + [1]






     def 					__A						(	self       ,  a__						):
       if len(a__						) > 0 and token_ids[-1] == self.eos_token_id:
         warnings.warn(
             F"This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated"
             """ eos tokens being added."""						)
         return token_ids
       else:
         return token_ids + [self.eos_token_id]






     def 					__A						(	self       ,  a__       ,  a__ = None						):
       _lowerCAmelCase		: Optional[Any]						    =  [self.eos_token_id]

       if token_ids_a is None:
         return len(token_ids_a + eos						) * [0]
       return len(token_ids_a + eos + token_ids_a + eos						) * [0]






     def 					__A						(	self       ,  a__       ,  a__ = None						):
       _lowerCAmelCase		: Tuple						    =  self._add_eos_if_not_present(a__						)
       if token_ids_a is None:
         return token_ids_a
       else:
         _lowerCAmelCase		: int						    =  self._add_eos_if_not_present(a__						)
         return token_ids_a + token_ids_a






     def 					__A						(	self       ,  a__						):
       _lowerCAmelCase		: Tuple						    =  [chr(a__						) for i in text.encode("""utf-8"""						)]
       return tokens






     def 					__A						(	self       ,  a__						):
       if token in self.special_tokens_encoder:
         _lowerCAmelCase		: Tuple						    =  self.special_tokens_encoder[token]
       elif token in self.added_tokens_encoder:
         _lowerCAmelCase		: List[Any]						    =  self.added_tokens_encoder[token]
       elif len(a__						) != 1:
         _lowerCAmelCase		: List[Any]						    =  self.unk_token_id
       else:
         _lowerCAmelCase		: List[Any]						    =  ord(a__						) + self._num_special_tokens
       return token_id






     def 					__A						(	self       ,  a__						):
       if index in self.special_tokens_decoder:
         _lowerCAmelCase		: Optional[int]						    =  self.special_tokens_decoder[index]
       else:
         _lowerCAmelCase		: Dict						    =  chr(index - self._num_special_tokens						)
       return token






     def 					__A						(	self       ,  a__						):
       _lowerCAmelCase		: Dict						    =  B""""""
       for token in tokens:
         if token in self.special_tokens_decoder:
           _lowerCAmelCase		: Tuple						    =  self.special_tokens_decoder[token].encode("""utf-8"""						)
         elif token in self.added_tokens_decoder:
           _lowerCAmelCase		: List[str]						    =  self.special_tokens_decoder[token].encode("""utf-8"""						)
         elif token in self.special_tokens_encoder:
           _lowerCAmelCase		: Union[str, Any]						    =  token.encode("""utf-8"""						)
         elif token in self.added_tokens_encoder:
           _lowerCAmelCase		: Dict						    =  token.encode("""utf-8"""						)
         else:
           _lowerCAmelCase		: Optional[int]						    =  bytes([ord(a__						)]						)
         bstring += tok_string
       _lowerCAmelCase		: Any						    =  bstring.decode("""utf-8"""       ,  errors="""ignore"""						)
       return string






     def 					__A						(	self       ,  a__       ,  a__ = None						):
       return ()





"""simple docstring"""




_a   :	Optional[Any] 					=     '\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

_a   :	List[str] 					=     [{'type': 'code', 'content': INSTALL_CONTENT}]
_a   :	str 					=     {
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}




