from typing import Dict, List, Optional

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


UpperCamelCase__    							= logging.get_logger(__name__)


UpperCamelCase__    							= {
    'nielsr/canine-s': 2_0_4_8,
}

# Unicode defines 1,114,112 total “codepoints”
UpperCamelCase__    							= 1_1_1_4_1_1_2

# 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__    							= 0

UpperCamelCase__    							= 0Xe0_00
UpperCamelCase__    							= 0Xe0_01
UpperCamelCase__    							= 0Xe0_02
UpperCamelCase__    							= 0Xe0_03
UpperCamelCase__    							= 0Xe0_04

# Maps special codepoints to human-readable names.
UpperCamelCase__    							= {
    # 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__    							= {name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			Optional[Any]              =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


   def __init__(self					:						List[str]	,  __UpperCAmelCase					:						int=chr(__UpperCAmelCase		)	,  __UpperCAmelCase					:						int=chr(__UpperCAmelCase		)	,  __UpperCAmelCase					:						Dict=chr(__UpperCAmelCase		)	,  __UpperCAmelCase					:						int=chr(__UpperCAmelCase		)	,  __UpperCAmelCase					:						Optional[int]=chr(__UpperCAmelCase		)	,  __UpperCAmelCase					:						Any=chr(__UpperCAmelCase		)	,  __UpperCAmelCase					:						Tuple=False	,  __UpperCAmelCase					:						Optional[Any]=2_0_4_8	,  **__UpperCAmelCase					:						Union[str, Any]	,  )						->    Tuple:
         """simple docstring"""



         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else bos_token
         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else eos_token
         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else sep_token
         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else cls_token
         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else pad_token

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

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

         # Creates a mapping for looking up the IDs of special symbols.
         UpperCAmelCase__								=  {}
         for codepoint, name in SPECIAL_CODEPOINTS.items():
               UpperCAmelCase__								=  codepoint

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

         UpperCAmelCase__								=  UNICODE_VOCAB_SIZE
         UpperCAmelCase__								=  len(self._special_codepoints		)


   @property
   def       lowercase_				(self					:						Dict		)						->    int:
         """simple docstring"""



         return self._unicode_vocab_size


   def       lowercase_				(self					:						Optional[Any]	,  __UpperCAmelCase					:						str		)						->    List[str]:
         """simple docstring"""



         return list(__UpperCAmelCase		)


   def       lowercase_				(self					:						List[Any]	,  __UpperCAmelCase					:						str		)						->    int:
         """simple docstring"""



         try:
               return ord(__UpperCAmelCase		)
         except TypeError:
               raise ValueError(f"""invalid token: '{token}'"""		)


   def       lowercase_				(self					:						int	,  __UpperCAmelCase					:						int		)						->    str:
         """simple docstring"""



         try:
               if index in SPECIAL_CODEPOINTS:
                     return SPECIAL_CODEPOINTS[index]
               return chr(__UpperCAmelCase		)
         except TypeError:
               raise ValueError(f"""invalid id: {index}"""		)


   def       lowercase_				(self					:						List[str]	,  __UpperCAmelCase					:						Tuple		)						->    Dict:
         """simple docstring"""



         return "".join(__UpperCAmelCase		)


   def       lowercase_				(self					:						List[str]	,  __UpperCAmelCase					:						List[int]	,  __UpperCAmelCase					:						Optional[List[int]] = None		)						->    List[int]:
         """simple docstring"""



         UpperCAmelCase__								=  [self.sep_token_id]
         UpperCAmelCase__								=  [self.cls_token_id]

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


   def       lowercase_				(self					:						Dict	,  __UpperCAmelCase					:						List[int]	,  __UpperCAmelCase					:						Optional[List[int]] = None	,  __UpperCAmelCase					:						bool = False		)						->    List[int]:
         """simple docstring"""



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

         UpperCAmelCase__								=  [1] + ([0] * len(__UpperCAmelCase		)) + [1]
         if token_ids_a is not None:
               result += ([0] * len(__UpperCAmelCase		)) + [1]
         return result


   def       lowercase_				(self					:						int	,  __UpperCAmelCase					:						List[int]	,  __UpperCAmelCase					:						Optional[List[int]] = None		)						->    List[int]:
         """simple docstring"""



         UpperCAmelCase__								=  [self.sep_token_id]
         UpperCAmelCase__								=  [self.cls_token_id]

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





   def       lowercase_				(self					:						str	,  __UpperCAmelCase					:						str	,  __UpperCAmelCase					:						Optional[str] = None		)						->    Any:
         """simple docstring"""



         return ()




from typing import Callable, Optional, Union

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


UpperCamelCase__    							= logging.get_logger(__name__)

UpperCamelCase__    							= {
    'microsoft/xprophetnet-large-wiki100-cased': (
        'https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json'
    ),
}





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			Optional[int]              =      'xlm-prophetnet'
   __UpperCAmelCase			:			int              =      ['past_key_values']
   __UpperCAmelCase			:			Optional[int]              =      {
       'num_attention_heads': 'num_encoder_attention_heads',
   }


   def __init__(self					:						str	,  __UpperCAmelCase					:						Optional[float] = 0.1	,  __UpperCAmelCase					:						Optional[Union[str, Callable]] = "gelu"	,  __UpperCAmelCase					:						Optional[int] = 3_0_5_2_2	,  __UpperCAmelCase					:						Optional[int] = 1_0_2_4	,  __UpperCAmelCase					:						Optional[int] = 4_0_9_6	,  __UpperCAmelCase					:						Optional[int] = 1_2	,  __UpperCAmelCase					:						Optional[int] = 1_6	,  __UpperCAmelCase					:						Optional[int] = 4_0_9_6	,  __UpperCAmelCase					:						Optional[int] = 1_2	,  __UpperCAmelCase					:						Optional[int] = 1_6	,  __UpperCAmelCase					:						Optional[float] = 0.1	,  __UpperCAmelCase					:						Optional[float] = 0.1	,  __UpperCAmelCase					:						Optional[int] = 5_1_2	,  __UpperCAmelCase					:						Optional[float] = 0.02	,  __UpperCAmelCase					:						Optional[bool] = True	,  __UpperCAmelCase					:						Optional[bool] = True	,  __UpperCAmelCase					:						Optional[int] = 0	,  __UpperCAmelCase					:						Optional[int] = 2	,  __UpperCAmelCase					:						Optional[int] = 3_2	,  __UpperCAmelCase					:						Optional[int] = 1_2_8	,  __UpperCAmelCase					:						Optional[bool] = False	,  __UpperCAmelCase					:						Optional[float] = 0.0	,  __UpperCAmelCase					:						Optional[bool] = True	,  __UpperCAmelCase					:						Optional[int] = 0	,  __UpperCAmelCase					:						Optional[int] = 1	,  __UpperCAmelCase					:						Optional[int] = 2	,  **__UpperCAmelCase					:						Optional[Any]	,  )						->    List[str]:
         """simple docstring"""



         UpperCAmelCase__								=  vocab_size
         UpperCAmelCase__								=  hidden_size
         UpperCAmelCase__								=  encoder_ffn_dim
         UpperCAmelCase__								=  num_encoder_layers
         UpperCAmelCase__								=  num_encoder_attention_heads
         UpperCAmelCase__								=  decoder_ffn_dim
         UpperCAmelCase__								=  num_decoder_layers
         UpperCAmelCase__								=  num_decoder_attention_heads
         UpperCAmelCase__								=  max_position_embeddings
         UpperCAmelCase__								=  init_std  # Normal(0, this parameter)
         UpperCAmelCase__								=  activation_function

         # parameters for xlmprophetnet
         UpperCAmelCase__								=  ngram
         UpperCAmelCase__								=  num_buckets
         UpperCAmelCase__								=  relative_max_distance
         UpperCAmelCase__								=  disable_ngram_loss
         UpperCAmelCase__								=  eps

         # 3 Types of Dropout
         UpperCAmelCase__								=  attention_dropout
         UpperCAmelCase__								=  activation_dropout
         UpperCAmelCase__								=  dropout

         UpperCAmelCase__								=  use_cache

         super().__init__(
             pad_token_id=__UpperCAmelCase	,  bos_token_id=__UpperCAmelCase	,  eos_token_id=__UpperCAmelCase	,  is_encoder_decoder=__UpperCAmelCase	,  add_cross_attention=__UpperCAmelCase	,  decoder_start_token_id=__UpperCAmelCase	,  **__UpperCAmelCase	,  )


   @property
   def       lowercase_				(self					:						int		)						->    int:
         """simple docstring"""



         return self.num_encoder_layers + self.num_decoder_layers





   @num_hidden_layers.setter
   def       lowercase_				(self					:						Any	,  __UpperCAmelCase					:						List[Any]		)						->    Union[str, Any]:
         """simple docstring"""



         raise NotImplementedError(
             "This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"
             " `num_decoder_layers`."		)



