



from typing import Callable, Optional, Union

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


a__      :				Union[str, Any]   	=			logging.get_logger(__name__)

a__      :				Union[str, Any]   	=			{
    "microsoft/xprophetnet-large-wiki100-cased": (
        "https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json"
    ),
}



class       UpperCAmelCase__(							lowerCamelCase	):

   '''simple docstring'''




   A    :  Optional[int]       				=    "xlm-prophetnet"
   A    :  Tuple       				=    ["past_key_values"]
   A    :  List[str]       				=    {
       "num_attention_heads": "num_encoder_attention_heads",
   }


   def __init__(						self  :			List[Any]			,				lowerCAmelCase  :			Optional[float] = 0.1			,				lowerCAmelCase  :			Optional[Union[str, Callable]] = "gelu"			,				lowerCAmelCase  :			Optional[int] = 3_05_22			,				lowerCAmelCase  :			Optional[int] = 10_24			,				lowerCAmelCase  :			Optional[int] = 40_96			,				lowerCAmelCase  :			Optional[int] = 12			,				lowerCAmelCase  :			Optional[int] = 16			,				lowerCAmelCase  :			Optional[int] = 40_96			,				lowerCAmelCase  :			Optional[int] = 12			,				lowerCAmelCase  :			Optional[int] = 16			,				lowerCAmelCase  :			Optional[float] = 0.1			,				lowerCAmelCase  :			Optional[float] = 0.1			,				lowerCAmelCase  :			Optional[int] = 5_12			,				lowerCAmelCase  :			Optional[float] = 0.02			,				lowerCAmelCase  :			Optional[bool] = True			,				lowerCAmelCase  :			Optional[bool] = True			,				lowerCAmelCase  :			Optional[int] = 0			,				lowerCAmelCase  :			Optional[int] = 2			,				lowerCAmelCase  :			Optional[int] = 32			,				lowerCAmelCase  :			Optional[int] = 1_28			,				lowerCAmelCase  :			Optional[bool] = False			,				lowerCAmelCase  :			Optional[float] = 0.0			,				lowerCAmelCase  :			Optional[bool] = True			,				lowerCAmelCase  :			Optional[int] = 0			,				lowerCAmelCase  :			Optional[int] = 1			,				lowerCAmelCase  :			Optional[int] = 2			,				**lowerCAmelCase  :			str			,				)	->				List[Any]:




         """simple docstring"""

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

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

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

         lowercase__     =  use_cache

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


   @property
   def 			UpperCAmelCase		(						self  :			List[str])	->				int:




         """simple docstring"""

         return self.num_encoder_layers + self.num_decoder_layers



   @num_hidden_layers.setter
   def 			UpperCAmelCase		(						self  :			Union[str, Any]			,				lowerCAmelCase  :			Union[str, Any])	->				str:




         """simple docstring"""

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





import os
from typing import List, Optional, Union

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


a__      :				int   	=			logging.get_logger(__name__)

a__      :				Tuple   	=			{"vocab_file": "vocab.txt"}

a__      :				int   	=			{
    "vocab_file": {
        "facebook/esm2_t6_8M_UR50D": "https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt",
        "facebook/esm2_t12_35M_UR50D": "https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt",
    },
}

a__      :				Dict   	=			{
    "facebook/esm2_t6_8M_UR50D": 10_24,
    "facebook/esm2_t12_35M_UR50D": 10_24,
}

def   _lowerCAmelCase   (						A__	):
      with open(A__						,  'r'	) as f:
            lowercase__     =  f.read().splitlines()
            return [l.strip() for l in lines]



class       UpperCAmelCase__(							lowerCamelCase	):

   '''simple docstring'''




   A    :  Union[str, Any]       				=    VOCAB_FILES_NAMES
   A    :  str       				=    PRETRAINED_VOCAB_FILES_MAP
   A    :  int       				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A    :  List[Any]       				=    ["input_ids", "attention_mask"]


   def __init__(						self  :			Union[str, Any]			,				lowerCAmelCase  :			Any			,				lowerCAmelCase  :			Optional[int]="<unk>"			,				lowerCAmelCase  :			Dict="<cls>"			,				lowerCAmelCase  :			List[str]="<pad>"			,				lowerCAmelCase  :			Union[str, Any]="<mask>"			,				lowerCAmelCase  :			Optional[Any]="<eos>"			,				**lowerCAmelCase  :			Any			,				)	->				Optional[Any]:




         """simple docstring"""

         super().__init__(**lowerCAmelCase)
         lowercase__     =  load_vocab_file(lowerCAmelCase)
         lowercase__     =  dict(enumerate(self.all_tokens))
         lowercase__     =  {tok: ind for ind, tok in enumerate(self.all_tokens)}
         lowercase__     =  unk_token
         lowercase__     =  cls_token
         lowercase__     =  pad_token
         lowercase__     =  mask_token
         lowercase__     =  eos_token
         lowercase__     =  self.all_tokens
         self._create_trie(self.unique_no_split_tokens)


   def 			UpperCAmelCase		(						self  :			List[Any]			,				lowerCAmelCase  :			int)	->				str:




         """simple docstring"""

         return self._id_to_token.get(lowerCAmelCase			,				self.unk_token)


   def 			UpperCAmelCase		(						self  :			Dict			,				lowerCAmelCase  :			str)	->				int:




         """simple docstring"""

         return self._token_to_id.get(lowerCAmelCase			,				self._token_to_id.get(self.unk_token))


   def 			UpperCAmelCase		(						self  :			Optional[Any]			,				lowerCAmelCase  :			str			,				**lowerCAmelCase  :			Union[str, Any])	->				Dict:




         """simple docstring"""

         return text.split()


   def 			UpperCAmelCase		(						self  :			Union[str, Any]			,				lowerCAmelCase  :			Any=False)	->				Union[str, Any]:




         """simple docstring"""

         return len(self._id_to_token)


   def 			UpperCAmelCase		(						self  :			Tuple)	->				int:




         """simple docstring"""

         return {token: i for i, token in enumerate(self.all_tokens)}


   def 			UpperCAmelCase		(						self  :			Optional[Any]			,				lowerCAmelCase  :			str)	->				int:




         """simple docstring"""

         return self._token_to_id.get(lowerCAmelCase			,				self._token_to_id.get(self.unk_token))


   def 			UpperCAmelCase		(						self  :			Dict			,				lowerCAmelCase  :			int)	->				str:




         """simple docstring"""

         return self._id_to_token.get(lowerCAmelCase			,				self.unk_token)


   def 			UpperCAmelCase		(						self  :			Any			,				lowerCAmelCase  :			List[int]			,				lowerCAmelCase  :			Optional[List[int]] = None)	->				List[int]:




         """simple docstring"""

         lowercase__     =  [self.cls_token_id]
         lowercase__     =  [self.eos_token_id]  # No sep token in ESM vocabulary
         if token_ids_a is None:
               if self.eos_token_id is None:
                     return cls + token_ids_a
               else:
                     return cls + token_ids_a + sep
         elif self.eos_token_id is None:
               raise ValueError('Cannot tokenize multiple sequences when EOS token is not set!')
         return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token


   def 			UpperCAmelCase		(						self  :			Union[str, Any]			,				lowerCAmelCase  :			List			,				lowerCAmelCase  :			Optional[List] = None			,				lowerCAmelCase  :			bool = False)	->				List[int]:




         """simple docstring"""

         if already_has_special_tokens:
               if token_ids_a is not None:
                     raise ValueError(
                         'You should not supply a second sequence if the provided sequence of '
                         'ids is already formatted with special tokens for the model.')

               return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
         lowercase__     =  [1] + ([0] * len(lowerCAmelCase)) + [1]
         if token_ids_a is not None:
               mask += [0] * len(lowerCAmelCase) + [1]
         return mask


   def 			UpperCAmelCase		(						self  :			Union[str, Any]			,				lowerCAmelCase  :			Tuple			,				lowerCAmelCase  :			Optional[int])	->				Dict:




         """simple docstring"""

         lowercase__     =  os.path.join(lowerCAmelCase			,				(filename_prefix + '-' if filename_prefix else '') + 'vocab.txt')
         with open(lowerCAmelCase			,				'w') as f:
               f.write('\n'.join(self.all_tokens))
         return (vocab_file,)


   @property
   def 			UpperCAmelCase		(						self  :			Optional[int])	->				int:




         """simple docstring"""

         return self.get_vocab_size(with_added_tokens=lowerCAmelCase)



   def 			UpperCAmelCase		(						self  :			Optional[Any]			,				lowerCAmelCase  :			Union[List[str], List[AddedToken]]			,				lowerCAmelCase  :			bool = False)	->				int:




         """simple docstring"""

         return super()._add_tokens(lowerCAmelCase			,				special_tokens=lowerCAmelCase)
