


import os
from typing import List, Optional, Union

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


lowerCamelCase		   =			logging.get_logger(__name__)

lowerCamelCase		   =			{'''vocab_file''': '''vocab.txt'''}

lowerCamelCase		   =			{
    '''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''',
    },
}

lowerCamelCase		   =			{
    '''facebook/esm2_t6_8M_UR50D''': 10_24,
    '''facebook/esm2_t12_35M_UR50D''': 10_24,
}




def       a_ (       SCREAMING_SNAKE_CASE__   : Optional[Any]	):
       '''simple docstring'''





       with open(SCREAMING_SNAKE_CASE__						,     'r'	) as f:
              _lowerCamelCase			:						Dict            =f.read().splitlines()
              return [l.strip() for l in lines]




class A    (  UpperCamelCase_	):
      UpperCamelCase__				:    Any =VOCAB_FILES_NAMES
      UpperCamelCase__				:    List[Any] =PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase__				:    List[str] =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase__				:    Tuple =['input_ids', 'attention_mask']






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




             super().__init__(**lowercase__					)
             _lowerCamelCase			:						List[str]            =load_vocab_file(lowercase__					)
             _lowerCamelCase			:						Union[str, Any]            =dict(enumerate(self.all_tokens					)					)
             _lowerCamelCase			:						str            ={tok: ind for ind, tok in enumerate(self.all_tokens					)}
             _lowerCamelCase			:						str            =unk_token
             _lowerCamelCase			:						List[Any]            =cls_token
             _lowerCamelCase			:						Any            =pad_token
             _lowerCamelCase			:						Dict            =mask_token
             _lowerCamelCase			:						List[str]            =eos_token
             _lowerCamelCase			:						List[Any]            =self.all_tokens
             self._create_trie(self.unique_no_split_tokens					)






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




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






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




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






      def 			lowerCamelCase			(   self		:	List[Any]     ,  lowercase_		:	Dict     ,  **lowercase_		:	Optional[int]					)   ->		Any:
             """simple docstring"""




             return text.split()






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




             return len(self._id_to_token					)






      def 			lowerCamelCase			(   self		:	List[Any]					)   ->		Any:
             """simple docstring"""




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






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




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






      def 			lowerCamelCase			(   self		:	Tuple     ,  lowercase_		:	int					)   ->		Optional[int]:
             """simple docstring"""




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






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




             _lowerCamelCase			:						Dict            =[self.cls_token_id]
             _lowerCamelCase			:						int            =[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 			lowerCamelCase			(   self		:	List[str]     ,  lowercase_		:	List     ,  lowercase_		:	Optional[List] = None     ,  lowercase_		:	bool = False					)   ->		str:
             """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]
             _lowerCamelCase			:						int            =[1] + ([0] * len(lowercase__					)) + [1]
             if token_ids_a is not None:
                    mask += [0] * len(lowercase__					) + [1]
             return mask






      def 			lowerCamelCase			(   self		:	Any     ,  lowercase_		:	Union[str, Any]     ,  lowercase_		:	Union[str, Any]					)   ->		str:
             """simple docstring"""




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






      @property
      def 			lowerCamelCase			(   self		:	Tuple					)   ->		Union[str, Any]:
             """simple docstring"""




             return self.get_vocab_size(with_added_tokens=lowercase__					)






      def 			lowerCamelCase			(   self		:	str     ,  lowercase_		:	Union[List[str], List[AddedToken]]     ,  lowercase_		:	bool = False					)   ->		Union[str, Any]:
             """simple docstring"""




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



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowercase:	Optional[Any]       			=		logging.get_logger(__name__)

_lowercase:	Tuple       			=		{
    '''andreasmadsen/efficient_mlm_m0.40''': (
        '''https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'''
    ),
}



class        lowerCamelCase__				(   UpperCAmelCase				):
			UpperCamelCase__    							="roberta-prelayernorm"





			def __init__(       self	:	int  ,  lowercase__	:	int=5_02_65  ,  lowercase__	:	str=7_68  ,  lowercase__	:	List[Any]=12  ,  lowercase__	:	Any=12  ,  lowercase__	:	Optional[Any]=30_72  ,  lowercase__	:	List[Any]="gelu"  ,  lowercase__	:	str=0.1  ,  lowercase__	:	List[Any]=0.1  ,  lowercase__	:	Tuple=5_12  ,  lowercase__	:	Optional[int]=2  ,  lowercase__	:	Dict=0.0_2  ,  lowercase__	:	Tuple=1e-12  ,  lowercase__	:	Optional[int]=1  ,  lowercase__	:	Optional[int]=0  ,  lowercase__	:	Union[str, Any]=2  ,  lowercase__	:	Any="absolute"  ,  lowercase__	:	Any=True  ,  lowercase__	:	Any=None  ,  **lowercase__	:	Optional[int]  ,  ):
										super().__init__(pad_token_id=lowercase__  ,  bos_token_id=lowercase__  ,  eos_token_id=lowercase__  ,  **lowercase__						)

										_lowerCAmelCase							=							vocab_size
										_lowerCAmelCase							=							hidden_size
										_lowerCAmelCase							=							num_hidden_layers
										_lowerCAmelCase							=							num_attention_heads
										_lowerCAmelCase							=							hidden_act
										_lowerCAmelCase							=							intermediate_size
										_lowerCAmelCase							=							hidden_dropout_prob
										_lowerCAmelCase							=							attention_probs_dropout_prob
										_lowerCAmelCase							=							max_position_embeddings
										_lowerCAmelCase							=							type_vocab_size
										_lowerCAmelCase							=							initializer_range
										_lowerCAmelCase							=							layer_norm_eps
										_lowerCAmelCase							=							position_embedding_type
										_lowerCAmelCase							=							use_cache
										_lowerCAmelCase							=							classifier_dropout







class        lowerCamelCase__				(   UpperCAmelCase				):





			@property
			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]						):
										if self.task == "multiple-choice":
																	_lowerCAmelCase							=							{0: 'batch', 1: 'choice', 2: 'sequence'}
										else:
																	_lowerCAmelCase							=							{0: 'batch', 1: 'sequence'}
										return OrderedDict(
										    [
										        ('input_ids', dynamic_axis),
										        ('attention_mask', dynamic_axis),
										    ]						)






