


import os
from typing import List, Optional, Union

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


lowerCamelCase		   =			logging.get_logger(__name__)

lowerCamelCase		   =			{'vocab_file': 'vocab.txt'}

lowerCamelCase		   =			{
    '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',
    },
}

lowerCamelCase		   =			{
    'facebook/esm2_t6_8M_UR50D': 10_24,
    'facebook/esm2_t12_35M_UR50D': 10_24,
}




def       a_ (       SCREAMING_SNAKE_CASE__   : int	):
       '''simple docstring'''





       with open(SCREAMING_SNAKE_CASE__						,     'r'	) as f:
              _lowerCamelCase			:						Optional[int]            =f.read().splitlines()
              return [l.strip() for l in lines]




class A    (  UpperCamelCase_	):
      UpperCamelCase__				:    str =VOCAB_FILES_NAMES
      UpperCamelCase__				:    Any =PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase__				:    Union[str, Any] =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase__				:    Tuple =['input_ids', 'attention_mask']






      def __init__(   self		:	Any     ,  lowercase_		:	Any     ,  lowercase_		:	Dict="<unk>"     ,  lowercase_		:	Dict="<cls>"     ,  lowercase_		:	Tuple="<pad>"     ,  lowercase_		:	Optional[Any]="<mask>"     ,  lowercase_		:	int="<eos>"     ,  **lowercase_		:	Union[str, Any]     ,  )   ->		str:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	List[Any]     ,  lowercase_		:	int					)   ->		str:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	Any     ,  lowercase_		:	str					)   ->		int:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	Dict     ,  lowercase_		:	Optional[Any]     ,  **lowercase_		:	Any					)   ->		Dict:
             """simple docstring"""




             return text.split()






      def 			lowerCamelCase			(   self		:	Union[str, Any]     ,  lowercase_		:	Dict=False					)   ->		Any:
             """simple docstring"""




             return len(self._id_to_token					)






      def 			lowerCamelCase			(   self		:	Optional[int]					)   ->		List[str]:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	Tuple     ,  lowercase_		:	str					)   ->		int:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	List[str]     ,  lowercase_		:	int					)   ->		str:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	int     ,  lowercase_		:	List[int]     ,  lowercase_		:	Optional[List[int]] = None					)   ->		List[int]:
             """simple docstring"""




             _lowerCamelCase			:						Tuple            =[self.cls_token_id]
             _lowerCamelCase			:						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 			lowerCamelCase			(   self		:	Tuple     ,  lowercase_		:	List     ,  lowercase_		:	Optional[List] = None     ,  lowercase_		:	bool = 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]
             _lowerCamelCase			:						List[Any]            =[1] + ([0] * len(lowercase_					)) + [1]
             if token_ids_a is not None:
                    mask += [0] * len(lowercase_					) + [1]
             return mask






      def 			lowerCamelCase			(   self		:	Dict     ,  lowercase_		:	Tuple     ,  lowercase_		:	str					)   ->		Tuple:
             """simple docstring"""




             _lowerCamelCase			:						Union[str, Any]            =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 			lowerCamelCase			(   self		:	int					)   ->		int:
             """simple docstring"""




             return self.get_vocab_size(with_added_tokens=lowercase_					)






      def 			lowerCamelCase			(   self		:	Optional[Any]     ,  lowercase_		:	Union[List[str], List[AddedToken]]     ,  lowercase_		:	bool = False					)   ->		int:
             """simple docstring"""




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






from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader




class A    (  UpperCamelCase_	):






      def __init__(   self		:	Union[str, Any]     ,  lowercase_		:	NestedDataStructureLike[PathLike]     ,  lowercase_		:	Optional[NamedSplit] = None     ,  lowercase_		:	Optional[Features] = None     ,  lowercase_		:	str = None     ,  lowercase_		:	bool = False     ,  lowercase_		:	bool = False     ,  lowercase_		:	Optional[int] = None     ,  **lowercase_		:	Optional[int]     ,  )   ->		Union[str, Any]:
             """simple docstring"""




             super().__init__(
                 lowercase_     ,  split=lowercase_     ,  features=lowercase_     ,  cache_dir=lowercase_     ,  keep_in_memory=lowercase_     ,  streaming=lowercase_     ,  num_proc=lowercase_     ,  **lowercase_     ,  )
             _lowerCamelCase			:						Optional[int]            =path_or_paths if isinstance(lowercase_     ,  lowercase_					) else {self.split: path_or_paths}
             _lowerCamelCase			:						int            =Text(
                 cache_dir=lowercase_     ,  data_files=lowercase_     ,  features=lowercase_     ,  **lowercase_     ,  )






      def 			lowerCamelCase			(   self		:	Optional[Any]					)   ->		Dict:
             """simple docstring"""




             if self.streaming:
                    _lowerCamelCase			:						Optional[Any]            =self.builder.as_streaming_dataset(split=self.split					)
             # Build regular (map-style) dataset
             else:
                    _lowerCamelCase			:						List[str]            =None
                    _lowerCamelCase			:						int            =None
                    _lowerCamelCase			:						Optional[Any]            =None
                    _lowerCamelCase			:						Any            =None

                    self.builder.download_and_prepare(
                        download_config=lowercase_     ,  download_mode=lowercase_     ,  verification_mode=lowercase_     ,  base_path=lowercase_     ,  num_proc=self.num_proc     ,  )
                    _lowerCamelCase			:						Tuple            =self.builder.as_dataset(
                        split=self.split     ,  verification_mode=lowercase_     ,  in_memory=self.keep_in_memory					)
             return dataset


