





import os
from typing import List, Optional, Union

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


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

UpperCAmelCase     :     Union[str, Any]							=	{"""vocab_file""": """vocab.txt"""}

UpperCAmelCase     :     Optional[int]							=	{
    """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     :     Dict							=	{
    """facebook/esm2_t6_8M_UR50D""": 1024,
    """facebook/esm2_t12_35M_UR50D""": 1024,
}
def 					_A	(		SCREAMING_SNAKE_CASE					:       List[str]						):





  """simple docstring"""



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







class     __lowerCAmelCase	(   UpperCamelCase__):
      _lowercase    : int            =      VOCAB_FILES_NAMES
      _lowercase    : List[Any]            =      PRETRAINED_VOCAB_FILES_MAP
      _lowercase    : Any            =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _lowercase    : Dict            =      ["""input_ids""", """attention_mask"""]







      def __init__(   self		,				lowerCAmelCase__		,				lowerCAmelCase__="<unk>"		,				lowerCAmelCase__="<cls>"		,				lowerCAmelCase__="<pad>"		,				lowerCAmelCase__="<mask>"		,				lowerCAmelCase__="<eos>"		,				**lowerCAmelCase__		,				)       ->						int:



        '''simple docstring'''




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







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						str:



        '''simple docstring'''




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







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						int:



        '''simple docstring'''




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







      def        _lowercase  (   self		,				lowerCAmelCase__		,				**lowerCAmelCase__							)       ->						Union[str, Any]:



        '''simple docstring'''




        return text.split()







      def        _lowercase  (   self		,				lowerCAmelCase__=False							)       ->						Any:



        '''simple docstring'''




        return len(self._id_to_token							)







      def        _lowercase  (   self							)       ->						Optional[Any]:



        '''simple docstring'''




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







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						int:



        '''simple docstring'''




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







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						str:



        '''simple docstring'''




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







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__ = None							)       ->						List[int]:



        '''simple docstring'''




        a__     : List[Any]  =[self.cls_token_id]
        a__     : List[Any]  =[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        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__ = None		,				lowerCAmelCase__ = 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]
        a__     : List[str]  =[1] + ([0] * len(lowerCAmelCase__							)) + [1]
        if token_ids_a is not None:
          mask += [0] * len(lowerCAmelCase__							) + [1]
        return mask







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__							)       ->						str:



        '''simple docstring'''




        a__     : List[str]  =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        _lowercase  (   self							)       ->						int:



        '''simple docstring'''




        return self.get_vocab_size(with_added_tokens=lowerCAmelCase__							)







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__ = False							)       ->						int:



        '''simple docstring'''




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













import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate







@dataclass(frozen=UpperCamelCase__)
class     __lowerCAmelCase	(   UpperCamelCase__):
      _lowercase    : str            =      field(default="""image-classification"""						,    metadata={"""include_in_asdict_even_if_is_default""": True})
      _lowercase    : ClassVar[Features]            =      Features({"""image""": Image()})
      _lowercase    : ClassVar[Features]            =      Features({"""labels""": ClassLabel})
      _lowercase    : str            =      "image"
      _lowercase    : str            =      "labels"







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						List[Any]:



        '''simple docstring'''




        if self.label_column not in features:
          raise ValueError(F'''Column {self.label_column} is not present in features.'''							)
        if not isinstance(features[self.label_column]		,				lowerCAmelCase__							):
          raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''							)
        a__     : int  =copy.deepcopy(self							)
        a__     : Dict  =self.label_schema.copy()
        a__     : int  =features[self.label_column]
        a__     : str  =label_schema
        return task_template







      @property
      def        _lowercase  (   self							)       ->						Dict[str, str]:



        '''simple docstring'''




        return {
            self.image_column: "image",
            self.label_column: "labels",
        }






