


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': 1024,
    'facebook/esm2_t12_35M_UR50D': 1024,
}
def       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




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


class 	_a							(      UpperCamelCase__      ):
							_lowercase     :      Any  				=			VOCAB_FILES_NAMES
							_lowercase     :      Optional[Any]  				=			PRETRAINED_VOCAB_FILES_MAP
							_lowercase     :      int  				=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_lowercase     :      List[Any]  				=			['''input_ids''', '''attention_mask''']

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





									"""simple docstring"""







									super().__init__(**UpperCamelCase_							)
									lowercase__						=				load_vocab_file(UpperCamelCase_							)
									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 				lowerCamelCase_			(							self:     Tuple   ,						UpperCamelCase_:     int							)      ->       str:





									"""simple docstring"""







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

							def 				lowerCamelCase_			(							self:     str   ,						UpperCamelCase_:     str							)      ->       int:





									"""simple docstring"""







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

							def 				lowerCamelCase_			(							self:     List[Any]   ,						UpperCamelCase_:     str   ,						**UpperCamelCase_:     Optional[int]							)      ->       str:





									"""simple docstring"""







									return text.split()

							def 				lowerCamelCase_			(							self:     Tuple   ,						UpperCamelCase_:     Tuple=False							)      ->       str:





									"""simple docstring"""







									return len(self._id_to_token							)

							def 				lowerCamelCase_			(							self:     Dict							)      ->       str:





									"""simple docstring"""







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

							def 				lowerCamelCase_			(							self:     Optional[int]   ,						UpperCamelCase_:     str							)      ->       int:





									"""simple docstring"""







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

							def 				lowerCamelCase_			(							self:     Optional[Any]   ,						UpperCamelCase_:     int							)      ->       str:





									"""simple docstring"""







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

							def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     List[int]   ,						UpperCamelCase_:     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 				lowerCamelCase_			(							self:     Any   ,						UpperCamelCase_:     List   ,						UpperCamelCase_:     Optional[List] = None   ,						UpperCamelCase_:     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(UpperCamelCase_							)) + [1]
									if token_ids_a is not None:
											mask += [0] * len(UpperCamelCase_							) + [1]
									return mask

							def 				lowerCamelCase_			(							self:     Tuple   ,						UpperCamelCase_:     Any   ,						UpperCamelCase_:     Optional[int]							)      ->       Dict:





									"""simple docstring"""







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

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





									"""simple docstring"""







									return self.get_vocab_size(with_added_tokens=UpperCamelCase_							)


							def 				lowerCamelCase_			(							self:     Union[str, Any]   ,						UpperCamelCase_:     Union[List[str], List[AddedToken]]   ,						UpperCamelCase_:     bool = False							)      ->       int:





									"""simple docstring"""







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






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


lowerCAmelCase	=							logging.get_logger(__name__)

lowerCAmelCase	=							{
    'unc-nlp/lxmert-base-uncased': 'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json',
}


class 	_a							(      UpperCamelCase__      ):
							_lowercase     :      List[Any]  				=			'''lxmert'''
							_lowercase     :      Any  				=			{}

							def __init__(							self:     Any   ,						UpperCamelCase_:     List[Any]=30_522   ,						UpperCamelCase_:     int=768   ,						UpperCamelCase_:     Optional[Any]=12   ,						UpperCamelCase_:     Dict=9_500   ,						UpperCamelCase_:     List[Any]=1_600   ,						UpperCamelCase_:     List[Any]=400   ,						UpperCamelCase_:     List[str]=3_072   ,						UpperCamelCase_:     int="gelu"   ,						UpperCamelCase_:     Any=0.1   ,						UpperCamelCase_:     int=0.1   ,						UpperCamelCase_:     List[str]=512   ,						UpperCamelCase_:     Optional[int]=2   ,						UpperCamelCase_:     Union[str, Any]=0.02   ,						UpperCamelCase_:     Dict=1E-1_2   ,						UpperCamelCase_:     List[Any]=9   ,						UpperCamelCase_:     List[Any]=5   ,						UpperCamelCase_:     Optional[Any]=5   ,						UpperCamelCase_:     str=2_048   ,						UpperCamelCase_:     Dict=4   ,						UpperCamelCase_:     Any=6.67   ,						UpperCamelCase_:     Dict=True   ,						UpperCamelCase_:     List[str]=True   ,						UpperCamelCase_:     Dict=True   ,						UpperCamelCase_:     Any=True   ,						UpperCamelCase_:     Tuple=True   ,						UpperCamelCase_:     Optional[Any]=True   ,						UpperCamelCase_:     Any=True   ,						**UpperCamelCase_:     Union[str, Any]   ,						)      ->       Union[str, Any]:





									"""simple docstring"""







									lowercase__						=				vocab_size
									lowercase__						=				hidden_size
									lowercase__						=				num_attention_heads
									lowercase__						=				hidden_act
									lowercase__						=				intermediate_size
									lowercase__						=				hidden_dropout_prob
									lowercase__						=				attention_probs_dropout_prob
									lowercase__						=				max_position_embeddings
									lowercase__						=				type_vocab_size
									lowercase__						=				initializer_range
									lowercase__						=				layer_norm_eps
									lowercase__						=				num_qa_labels
									lowercase__						=				num_object_labels
									lowercase__						=				num_attr_labels
									lowercase__						=				l_layers
									lowercase__						=				x_layers
									lowercase__						=				r_layers
									lowercase__						=				visual_feat_dim
									lowercase__						=				visual_pos_dim
									lowercase__						=				visual_loss_normalizer
									lowercase__						=				task_matched
									lowercase__						=				task_mask_lm
									lowercase__						=				task_obj_predict
									lowercase__						=				task_qa
									lowercase__						=				visual_obj_loss
									lowercase__						=				visual_attr_loss
									lowercase__						=				visual_feat_loss
									lowercase__						=				{'''vision''': r_layers, '''cross_encoder''': x_layers, '''language''': l_layers}
									super().__init__(**UpperCamelCase_							)


