


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 __UpperCAmelCase							(		__A      )    ->       Optional[int]:



       '''simple docstring'''





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




class      lowercase__	(       __SCREAMING_SNAKE_CASE		):
  A__=	VOCAB_FILES_NAMES
  A__=	PRETRAINED_VOCAB_FILES_MAP
  A__=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A__=	['input_ids', 'attention_mask']






  def __init__(       self   :       Union[str, Any]		,    _lowercase   :       List[str]		,    _lowercase   :       List[Any]="<unk>"		,    _lowercase   :       str="<cls>"		,    _lowercase   :       Dict="<pad>"		,    _lowercase   :       Any="<mask>"		,    _lowercase   :       Dict="<eos>"		,    **_lowercase   :       Dict		,    ):




         """simple docstring"""







         super().__init__(**_lowercase			)
         UpperCAmelCase__					    =  load_vocab_file(_lowercase			)
         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       _UpperCAmelCase	(       self   :       Union[str, Any]		,    _lowercase   :       int			):




         """simple docstring"""







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






  def       _UpperCAmelCase	(       self   :       Tuple		,    _lowercase   :       str			):




         """simple docstring"""







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






  def       _UpperCAmelCase	(       self   :       List[Any]		,    _lowercase   :       List[str]		,    **_lowercase   :       int			):




         """simple docstring"""







         return text.split()






  def       _UpperCAmelCase	(       self   :       int		,    _lowercase   :       int=False			):




         """simple docstring"""







         return len(self._id_to_token			)






  def       _UpperCAmelCase	(       self   :       int			):




         """simple docstring"""







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






  def       _UpperCAmelCase	(       self   :       Tuple		,    _lowercase   :       str			):




         """simple docstring"""







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






  def       _UpperCAmelCase	(       self   :       Union[str, Any]		,    _lowercase   :       int			):




         """simple docstring"""







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






  def       _UpperCAmelCase	(       self   :       Dict		,    _lowercase   :       List[int]		,    _lowercase   :       Optional[List[int]] = None			):




         """simple docstring"""







         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       _UpperCAmelCase	(       self   :       Union[str, Any]		,    _lowercase   :       List		,    _lowercase   :       Optional[List] = None		,    _lowercase   :       bool = False			):




         """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]
         UpperCAmelCase__					    =  [1] + ([0] * len(_lowercase			)) + [1]
         if token_ids_a is not None:
                mask += [0] * len(_lowercase			) + [1]
         return mask






  def       _UpperCAmelCase	(       self   :       Dict		,    _lowercase   :       str		,    _lowercase   :       Optional[int]			):




         """simple docstring"""







         UpperCAmelCase__					    =  os.path.join(_lowercase		,    (filename_prefix + "-" if filename_prefix else "") + "vocab.txt"			)
         with open(_lowercase		,    "w"			) as f:
                f.write("\n".join(self.all_tokens			)			)
         return (vocab_file,)






  @property
  def       _UpperCAmelCase	(       self   :       int			):




         """simple docstring"""







         return self.get_vocab_size(with_added_tokens=_lowercase			)






  def       _UpperCAmelCase	(       self   :       Any		,    _lowercase   :       Union[List[str], List[AddedToken]]		,    _lowercase   :       bool = False			):




         """simple docstring"""







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











'''simple docstring'''
import numpy as np





def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		np.array:
			return 1 / (1 + np.exp(-vector     ))





def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		np.array:
			return vector * sigmoid(1.702 * vector     )


if __name__ == "__main__":
							import doctest

							doctest.testmod()




