


'''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


a__  :					List[str]        =       logging.get_logger(__name__)

a__  :					Optional[int]        =       {'vocab_file': 'vocab.txt'}

a__  :					Optional[Any]        =       {
    '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__  :					Optional[int]        =       {
    'facebook/esm2_t6_8M_UR50D': 1_0_2_4,
    'facebook/esm2_t12_35M_UR50D': 1_0_2_4,
}







def _UpperCamelCase       (     __A    )							->		str:


      '''simple docstring'''



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



class 					lowercase_     (    a__   ):
    __UpperCAmelCase   			=	VOCAB_FILES_NAMES
    __UpperCAmelCase   			=	PRETRAINED_VOCAB_FILES_MAP
    __UpperCAmelCase   			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __UpperCAmelCase   			=	['input_ids', 'attention_mask']


    def __init__(     self  ,					a  ,					a="<unk>"  ,					a="<cls>"  ,					a="<pad>"  ,					a="<mask>"  ,					a="<eos>"  ,					**a  ,					):
          super().__init__(**a    )
          UpperCamelCase__										=				load_vocab_file(a    )
          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    __a							(     self  ,					a    ):
          return self._id_to_token.get(a  ,					self.unk_token    )


    def    __a							(     self  ,					a    ):
          return self._token_to_id.get(a  ,					self._token_to_id.get(self.unk_token    )    )


    def    __a							(     self  ,					a  ,					**a    ):
          return text.split()


    def    __a							(     self  ,					a=False    ):
          return len(self._id_to_token    )


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


    def    __a							(     self  ,					a    ):
          return self._token_to_id.get(a  ,					self._token_to_id.get(self.unk_token    )    )


    def    __a							(     self  ,					a    ):
          return self._id_to_token.get(a  ,					self.unk_token    )


    def    __a							(     self  ,					a  ,					a = None    ):
          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    __a							(     self  ,					a  ,					a = None  ,					a = 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__										=				[1] + ([0] * len(a    )) + [1]
          if token_ids_a is not None:
                mask += [0] * len(a    ) + [1]
          return mask


    def    __a							(     self  ,					a  ,					a    ):
          UpperCamelCase__										=				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    __a							(     self    ):
          return self.get_vocab_size(with_added_tokens=a    )


    def    __a							(     self  ,					a  ,					a = False    ):
          return super()._add_tokens(a  ,					special_tokens=a    )









'''simple docstring'''




class 		UpperCAmelCase_      :





     def __init__( self       :      List[str]    ,      UpperCAmelCase__       :      list[int]    )				->  None:
        lowerCAmelCase     =			len(UpperCAmelCase__    )
        lowerCAmelCase     =			[0] * len_array

        if len_array > 0:
           lowerCAmelCase     =			array[0]

        for i in range(1    ,      UpperCAmelCase__    ):
           lowerCAmelCase     =			self.prefix_sum[i - 1] + array[i]





     def 							__UpperCAmelCase      ( self       :      Optional[Any]    ,      UpperCAmelCase__       :      int    ,      UpperCAmelCase__       :      int    )				->  int:
        if start == 0:
           return self.prefix_sum[end]

        return self.prefix_sum[end] - self.prefix_sum[start - 1]





     def 							__UpperCAmelCase      ( self       :      int    ,      UpperCAmelCase__       :      int    )				->  bool:
        lowerCAmelCase     =			{0}
        for sum_item in self.prefix_sum:
           if sum_item - target_sum in sums:
              return True

           sums.add(UpperCAmelCase__    )

        return False


if __name__ == "__main__":
       import doctest

       doctest.testmod()





