


from typing import Dict, List, Optional

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


__UpperCamelCase				:  List[str]      					=							logging.get_logger(__name__)


__UpperCamelCase				:  Tuple      					=							{
    'nielsr/canine-s': 2048,
}

# Unicode defines 1,114,112 total “codepoints”
__UpperCamelCase				:  int      					=							111_4112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
__UpperCamelCase				:  List[str]      					=							0

__UpperCamelCase				:  Tuple      					=							0xe000
__UpperCamelCase				:  str      					=							0xe001
__UpperCamelCase				:  Dict      					=							0xe002
__UpperCamelCase				:  str      					=							0xe003
__UpperCamelCase				:  str      					=							0xe004

# Maps special codepoints to human-readable names.
__UpperCamelCase				:  Dict[int, str]      					=							{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
__UpperCamelCase				:  Dict[str, int]      					=							{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}





class  lowerCAmelCase__(    lowerCAmelCase__						):






    '''simple docstring'''





    A_  :     List[str]			= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





    def __init__(	self				:   List[str]       ,   __snake_case				:   Tuple=chr(_SCREAMING_SNAKE_CASE	)       ,   __snake_case				:   Dict=chr(_SCREAMING_SNAKE_CASE	)       ,   __snake_case				:   List[Any]=chr(_SCREAMING_SNAKE_CASE	)       ,   __snake_case				:   Optional[int]=chr(_SCREAMING_SNAKE_CASE	)       ,   __snake_case				:   Any=chr(_SCREAMING_SNAKE_CASE	)       ,   __snake_case				:   Dict=chr(_SCREAMING_SNAKE_CASE	)       ,   __snake_case				:   Dict=False       ,   __snake_case				:   List[str]=2_048       ,   **__snake_case				:   Dict       ,   ):





       '''simple docstring'''
       UpperCAmelCase_							:      Any						=   AddedToken(_SCREAMING_SNAKE_CASE       ,   lstrip=_SCREAMING_SNAKE_CASE       ,   rstrip=_SCREAMING_SNAKE_CASE	) if isinstance(_SCREAMING_SNAKE_CASE       ,   _SCREAMING_SNAKE_CASE	) else bos_token
       UpperCAmelCase_							:      int						=   AddedToken(_SCREAMING_SNAKE_CASE       ,   lstrip=_SCREAMING_SNAKE_CASE       ,   rstrip=_SCREAMING_SNAKE_CASE	) if isinstance(_SCREAMING_SNAKE_CASE       ,   _SCREAMING_SNAKE_CASE	) else eos_token
       UpperCAmelCase_							:      Optional[Any]						=   AddedToken(_SCREAMING_SNAKE_CASE       ,   lstrip=_SCREAMING_SNAKE_CASE       ,   rstrip=_SCREAMING_SNAKE_CASE	) if isinstance(_SCREAMING_SNAKE_CASE       ,   _SCREAMING_SNAKE_CASE	) else sep_token
       UpperCAmelCase_							:      int						=   AddedToken(_SCREAMING_SNAKE_CASE       ,   lstrip=_SCREAMING_SNAKE_CASE       ,   rstrip=_SCREAMING_SNAKE_CASE	) if isinstance(_SCREAMING_SNAKE_CASE       ,   _SCREAMING_SNAKE_CASE	) else cls_token
       UpperCAmelCase_							:      Optional[Any]						=   AddedToken(_SCREAMING_SNAKE_CASE       ,   lstrip=_SCREAMING_SNAKE_CASE       ,   rstrip=_SCREAMING_SNAKE_CASE	) if isinstance(_SCREAMING_SNAKE_CASE       ,   _SCREAMING_SNAKE_CASE	) else pad_token

       # Mask token behave like a normal word, i.e. include the space before it
       UpperCAmelCase_							:      str						=   AddedToken(_SCREAMING_SNAKE_CASE       ,   lstrip=_SCREAMING_SNAKE_CASE       ,   rstrip=_SCREAMING_SNAKE_CASE	) if isinstance(_SCREAMING_SNAKE_CASE       ,   _SCREAMING_SNAKE_CASE	) else mask_token

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

       # Creates a mapping for looking up the IDs of special symbols.
       UpperCAmelCase_							:      List[str]						=   {}
       for codepoint, name in SPECIAL_CODEPOINTS.items():
          UpperCAmelCase_							:      Any						=   codepoint

       # Creates a mapping for looking up the string forms of special symbol IDs.
       UpperCAmelCase_							:      Any						=   {
           codepoint: name for name, codepoint in self._special_codepoints.items()
       }

       UpperCAmelCase_							:      Any						=   UNICODE_VOCAB_SIZE
       UpperCAmelCase_							:      Optional[Any]						=   len(self._special_codepoints	)





    @property
    def 					_lowerCamelCase (	self				:   int	):





       '''simple docstring'''
       return self._unicode_vocab_size





    def 					_lowerCamelCase (	self				:   Tuple       ,   __snake_case				:   List[Any]	):





       '''simple docstring'''
       return list(_SCREAMING_SNAKE_CASE	)





    def 					_lowerCamelCase (	self				:   int       ,   __snake_case				:   Dict	):





       '''simple docstring'''
       try:
          return ord(_SCREAMING_SNAKE_CASE	)
       except TypeError:
          raise ValueError(f'''invalid token: \'{token}\''''	)





    def 					_lowerCamelCase (	self				:   List[Any]       ,   __snake_case				:   int	):





       '''simple docstring'''
       try:
          if index in SPECIAL_CODEPOINTS:
             return SPECIAL_CODEPOINTS[index]
          return chr(_SCREAMING_SNAKE_CASE	)
       except TypeError:
          raise ValueError(f'''invalid id: {index}'''	)





    def 					_lowerCamelCase (	self				:   List[str]       ,   __snake_case				:   Dict	):





       '''simple docstring'''
       return "".join(_SCREAMING_SNAKE_CASE	)





    def 					_lowerCamelCase (	self				:   Optional[int]       ,   __snake_case				:   Any       ,   __snake_case				:   List[Any] = None	):





       '''simple docstring'''
       UpperCAmelCase_							:      Optional[int]						=   [self.sep_token_id]
       UpperCAmelCase_							:      int						=   [self.cls_token_id]

       UpperCAmelCase_							:      Dict						=   cls + token_ids_a + sep
       if token_ids_a is not None:
          result += token_ids_a + sep
       return result





    def 					_lowerCamelCase (	self				:   Tuple       ,   __snake_case				:   Optional[Any]       ,   __snake_case				:   Union[str, Any] = None       ,   __snake_case				:   Optional[Any] = False	):





       '''simple docstring'''
       if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=_SCREAMING_SNAKE_CASE       ,   token_ids_a=_SCREAMING_SNAKE_CASE       ,   already_has_special_tokens=_SCREAMING_SNAKE_CASE	)

       UpperCAmelCase_							:      int						=   [1] + ([0] * len(_SCREAMING_SNAKE_CASE	)) + [1]
       if token_ids_a is not None:
          result += ([0] * len(_SCREAMING_SNAKE_CASE	)) + [1]
       return result





    def 					_lowerCamelCase (	self				:   Dict       ,   __snake_case				:   List[Any]       ,   __snake_case				:   Tuple = None	):





       '''simple docstring'''
       UpperCAmelCase_							:      Union[str, Any]						=   [self.sep_token_id]
       UpperCAmelCase_							:      str						=   [self.cls_token_id]

       UpperCAmelCase_							:      List[Any]						=   len(cls + token_ids_a + sep	) * [0]
       if token_ids_a is not None:
          result += len(token_ids_a + sep	) * [1]
       return result





    def 					_lowerCamelCase (	self				:   Tuple       ,   __snake_case				:   Optional[int]       ,   __snake_case				:   Optional[Any] = None	):





       '''simple docstring'''
       return ()








import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCamelCase				:  Tuple      					=							logging.get_logger(__name__)





class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''





    A_  :     Union[str, Any]			= 'encoder-decoder'
    A_  :     Optional[int]			= True





    def __init__(	self				:   Dict       ,   **__snake_case				:   Union[str, Any]	):





       '''simple docstring'''
       super().__init__(**__snake_case	)
       assert (
           "encoder" in kwargs and "decoder" in kwargs
       ), "Config has to be initialized with encoder and decoder config"
       UpperCAmelCase_							:      int						=   kwargs.pop('''encoder'''	)
       UpperCAmelCase_							:      List[Any]						=   encoder_config.pop('''model_type'''	)
       UpperCAmelCase_							:      int						=   kwargs.pop('''decoder'''	)
       UpperCAmelCase_							:      Union[str, Any]						=   decoder_config.pop('''model_type'''	)

       from ..auto.configuration_auto import AutoConfig

       UpperCAmelCase_							:      Optional[int]						=   AutoConfig.for_model(__snake_case       ,   **__snake_case	)
       UpperCAmelCase_							:      Any						=   AutoConfig.for_model(__snake_case       ,   **__snake_case	)
       UpperCAmelCase_							:      List[Any]						=   True





    @classmethod
    def 					_lowerCamelCase (	cls				:   Optional[Any]       ,   __snake_case				:   PretrainedConfig       ,   __snake_case				:   PretrainedConfig       ,   **__snake_case				:   Union[str, Any]	):





       '''simple docstring'''
       logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''	)
       UpperCAmelCase_							:      Dict						=   True
       UpperCAmelCase_							:      str						=   True

       return cls(encoder=encoder_config.to_dict()       ,   decoder=decoder_config.to_dict()       ,   **__snake_case	)





    def 					_lowerCamelCase (	self				:   Dict	):





       '''simple docstring'''
       UpperCAmelCase_							:      int						=   copy.deepcopy(self.__dict__	)
       UpperCAmelCase_							:      Tuple						=   self.encoder.to_dict()
       UpperCAmelCase_							:      Tuple						=   self.decoder.to_dict()
       UpperCAmelCase_							:      Tuple						=   self.__class__.model_type
       return output