
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": 10_24,
    "facebook/esm2_t12_35M_UR50D": 10_24,
}



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

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







class 					lowerCamelCase		(  A_  ):
     UpperCAmelCase__    :							Dict									=		VOCAB_FILES_NAMES
     UpperCAmelCase__    :							Union[str, Any]									=		PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase__    :							int									=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase__    :							int									=		["input_ids", "attention_mask"]





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





     def 		UpperCAmelCase(self				:   int    ,   _A				:   int       )						->						str:
         return self._id_to_token.get(_A    ,   self.unk_token       )





     def 		UpperCAmelCase(self				:   Any    ,   _A				:   str       )						->						int:
         return self._token_to_id.get(_A    ,   self._token_to_id.get(self.unk_token       )       )





     def 		UpperCAmelCase(self				:   Any    ,   _A				:   List[Any]    ,   **_A				:   Any       )						->						List[Any]:
         return text.split()





     def 		UpperCAmelCase(self				:   List[Any]    ,   _A				:   int=False       )						->						Any:
         return len(self._id_to_token       )





     def 		UpperCAmelCase(self				:   int       )						->						str:
         return {token: i for i, token in enumerate(self.all_tokens       )}





     def 		UpperCAmelCase(self				:   Optional[int]    ,   _A				:   str       )						->						int:
         return self._token_to_id.get(_A    ,   self._token_to_id.get(self.unk_token       )       )





     def 		UpperCAmelCase(self				:   Optional[int]    ,   _A				:   int       )						->						str:
         return self._id_to_token.get(_A    ,   self.unk_token       )





     def 		UpperCAmelCase(self				:   Tuple    ,   _A				:   List[int]    ,   _A				:   Optional[List[int]] = None       )						->						List[int]:
         snake_case								= [self.cls_token_id]
         snake_case								= [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				:   int    ,   _A				:   List    ,   _A				:   Optional[List] = None    ,   _A				:   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]
         snake_case								= [1] + ([0] * len(_A       )) + [1]
         if token_ids_a is not None:
             mask += [0] * len(_A       ) + [1]
         return mask





     def 		UpperCAmelCase(self				:   Dict    ,   _A				:   str    ,   _A				:   List[str]       )						->						Tuple:
         snake_case								= os.path.join(_A    ,   (filename_prefix + "-" if filename_prefix else "") + "vocab.txt"       )
         with open(_A    ,   "w"       ) as f:
             f.write("\n".join(self.all_tokens       )       )
         return (vocab_file,)





     @property
     def 		UpperCAmelCase(self				:   Tuple       )						->						int:
         return self.get_vocab_size(with_added_tokens=_A       )





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



from ....utils import logging


_A   =			logging.get_logger(__name__)







class 					lowerCamelCase		(  A_  ):





     def __init__(self				:   Tuple    ,   _A				:   Optional[int]    ,   _A				:   Tuple=None    ,   _A				:   Union[str, Any]=2_0_4_8       )						->						List[Any]:
         snake_case								= config.__dict__
         snake_case								= modal_hidden_size
         if num_labels:
             snake_case								= num_labels

