



import os
from typing import List, Optional, Union

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


__A       =						logging.get_logger(__name__)

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

__A       =						{
    '''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       =						{
    '''facebook/esm2_t6_8M_UR50D''': 1024,
    '''facebook/esm2_t12_35M_UR50D''': 1024,
}



def 	__a					(   lowerCAmelCase_       : Optional[Any]    )				->			str:






						'''simple docstring'''



						with open(lowerCAmelCase_      ,"""r"""    ) as f:
												UpperCAmelCase_=       f.read().splitlines()
												return [l.strip() for l in lines]






class 		lowercase						(			snake_case__):






	"""simple docstring"""


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




	def __init__(     self     :						str						,  __UpperCAmelCase     :						int						,  __UpperCAmelCase     :						List[Any]="<unk>"						,  __UpperCAmelCase     :						Dict="<cls>"						,  __UpperCAmelCase     :						Optional[Any]="<pad>"						,  __UpperCAmelCase     :						Dict="<mask>"						,  __UpperCAmelCase     :						Union[str, Any]="<eos>"						,  **__UpperCAmelCase     :						Dict						,  )      ->			Optional[int]:
							super().__init__(**__UpperCAmelCase					)
							UpperCAmelCase_=       load_vocab_file(__UpperCAmelCase					)
							UpperCAmelCase_=       dict(enumerate(self.all_tokens					)					)
							UpperCAmelCase_=       {tok: ind for ind, tok in enumerate(self.all_tokens					)}
							UpperCAmelCase_=       unk_token
							UpperCAmelCase_=       cls_token
							UpperCAmelCase_=       pad_token
							UpperCAmelCase_=       mask_token
							UpperCAmelCase_=       eos_token
							UpperCAmelCase_=       self.all_tokens
							self._create_trie(self.unique_no_split_tokens					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						Any						,  __UpperCAmelCase     :						int					)      ->			str:
							return self._id_to_token.get(__UpperCAmelCase						,  self.unk_token					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						Union[str, Any]						,  __UpperCAmelCase     :						str					)      ->			int:
							return self._token_to_id.get(__UpperCAmelCase						,  self._token_to_id.get(self.unk_token					)					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						Optional[int]						,  __UpperCAmelCase     :						Dict						,  **__UpperCAmelCase     :						List[str]					)      ->			int:
							return text.split()




	def   _SCREAMING_SNAKE_CASE		(     self     :						Any						,  __UpperCAmelCase     :						Dict=False					)      ->			int:
							return len(self._id_to_token					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						Tuple					)      ->			Tuple:
							return {token: i for i, token in enumerate(self.all_tokens					)}




	def   _SCREAMING_SNAKE_CASE		(     self     :						int						,  __UpperCAmelCase     :						str					)      ->			int:
							return self._token_to_id.get(__UpperCAmelCase						,  self._token_to_id.get(self.unk_token					)					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						List[Any]						,  __UpperCAmelCase     :						int					)      ->			str:
							return self._id_to_token.get(__UpperCAmelCase						,  self.unk_token					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						Optional[Any]						,  __UpperCAmelCase     :						List[int]						,  __UpperCAmelCase     :						Optional[List[int]] = None					)      ->			List[int]:
							UpperCAmelCase_=       [self.cls_token_id]
							UpperCAmelCase_=       [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   _SCREAMING_SNAKE_CASE		(     self     :						List[str]						,  __UpperCAmelCase     :						List						,  __UpperCAmelCase     :						Optional[List] = None						,  __UpperCAmelCase     :						bool = False					)      ->			List[int]:
							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]
							UpperCAmelCase_=       [1] + ([0] * len(__UpperCAmelCase					)) + [1]
							if token_ids_a is not None:
													mask += [0] * len(__UpperCAmelCase					) + [1]
							return mask




	def   _SCREAMING_SNAKE_CASE		(     self     :						int						,  __UpperCAmelCase     :						List[str]						,  __UpperCAmelCase     :						Any					)      ->			Any:
							UpperCAmelCase_=       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   _SCREAMING_SNAKE_CASE		(     self     :						Tuple					)      ->			int:
							return self.get_vocab_size(with_added_tokens=__UpperCAmelCase					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						Dict						,  __UpperCAmelCase     :						Union[List[str], List[AddedToken]]						,  __UpperCAmelCase     :						bool = False					)      ->			int:
							return super()._add_tokens(__UpperCAmelCase						,  special_tokens=__UpperCAmelCase					)









import warnings
from functools import wraps
from typing import Callable



def 	__a					(   lowerCAmelCase_       : Callable    )				->			Callable:






						'''simple docstring'''



						@wraps(lowerCAmelCase_    )
						def _inner_fn(*lowerCAmelCase_       : List[Any]      ,**lowerCAmelCase_       : Tuple    ):
												warnings.warn(
												    (F"""'{fn.__name__}' is experimental and might be subject to breaking changes in the future.""")      ,lowerCAmelCase_      ,)
												return fn(*lowerCAmelCase_      ,**lowerCAmelCase_    )

						return _inner_fn




