






'''simple docstring'''

import os
from typing import List, Optional, Union

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


UpperCamelCase      					=logging.get_logger(__name__)

UpperCamelCase      					={"vocab_file": "vocab.txt"}

UpperCamelCase      					={
    "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",
    },
}

UpperCamelCase      					={
    "facebook/esm2_t6_8M_UR50D": 1024,
    "facebook/esm2_t12_35M_UR50D": 1024,
}



def 				snake_case       (  a_				:			List[str]						)							->					str:





      """simple docstring"""

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




class      A     (   SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 __a      :    List[str]			  =    VOCAB_FILES_NAMES
 __a      :    List[Any]			  =    PRETRAINED_VOCAB_FILES_MAP
 __a      :    List[Any]			  =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __a      :    List[str]			  =    ['''input_ids''', '''attention_mask''']
 def __init__(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase="<unk>"      ,  __lowerCAmelCase="<cls>"      ,  __lowerCAmelCase="<pad>"      ,  __lowerCAmelCase="<mask>"      ,  __lowerCAmelCase="<eos>"      ,  **__lowerCAmelCase      ,  ):
       super().__init__(**__lowerCAmelCase			)
       UpperCamelCase_					: List[Any]            =				load_vocab_file(__lowerCAmelCase			)
       UpperCamelCase_					: Union[str, Any]            =				dict(enumerate(self.all_tokens			)			)
       UpperCamelCase_					: str            =				{tok: ind for ind, tok in enumerate(self.all_tokens			)}
       UpperCamelCase_					: Dict            =				unk_token
       UpperCamelCase_					: Optional[int]            =				cls_token
       UpperCamelCase_					: List[str]            =				pad_token
       UpperCamelCase_					: Optional[int]            =				mask_token
       UpperCamelCase_					: Any            =				eos_token
       UpperCamelCase_					: str            =				self.all_tokens
       self._create_trie(self.unique_no_split_tokens			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       return self._id_to_token.get(__lowerCAmelCase      ,  self.unk_token			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       return self._token_to_id.get(__lowerCAmelCase      ,  self._token_to_id.get(self.unk_token			)			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  **__lowerCAmelCase			):
       return text.split()
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase=False			):
       return len(self._id_to_token			)
 def 	_UpperCAmelCase							(				self			):
       return {token: i for i, token in enumerate(self.all_tokens			)}
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       return self._token_to_id.get(__lowerCAmelCase      ,  self._token_to_id.get(self.unk_token			)			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       return self._id_to_token.get(__lowerCAmelCase      ,  self.unk_token			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase = None			):
       UpperCamelCase_					: Optional[Any]            =				[self.cls_token_id]
       UpperCamelCase_					: str            =				[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      ,  __lowerCAmelCase      ,  __lowerCAmelCase = None      ,  __lowerCAmelCase = False			):
       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_					: Any            =				[1] + ([0] * len(__lowerCAmelCase			)) + [1]
       if token_ids_a is not None:
             mask += [0] * len(__lowerCAmelCase			) + [1]
       return mask
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase			):
       UpperCamelCase_					: Any            =				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			):
       return self.get_vocab_size(with_added_tokens=__lowerCAmelCase			)





 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase = False			):
       return super()._add_tokens(__lowerCAmelCase      ,  special_tokens=__lowerCAmelCase			)














'''simple docstring'''

from abc import ABC, abstractmethod
from argparse import ArgumentParser




class      A     (   SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 @staticmethod
 @abstractmethod
 def 	_UpperCAmelCase							(				__lowerCAmelCase			):
       raise NotImplementedError()





 @abstractmethod
 def 	_UpperCAmelCase							(				self			):
       raise NotImplementedError()






