






"""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


_SCREAMING_SNAKE_CASE					:				Any					    =						logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE					:				str					    =						{'''vocab_file''': '''vocab.txt'''}

_SCREAMING_SNAKE_CASE					:				str					    =						{
    '''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''',
    },
}

_SCREAMING_SNAKE_CASE					:				Dict					    =						{
    '''facebook/esm2_t6_8M_UR50D''': 1024,
    '''facebook/esm2_t12_35M_UR50D''': 1024,
}







def      lowerCamelCase__       (							_lowerCamelCase       :		List[Any] )      ->				int:
  with open(_lowerCamelCase		,				'r' ) as f:
    lowerCamelCase_         =						f.read().splitlines()
    return [l.strip() for l in lines]






class      a						(					__snake_case		):
    SCREAMING_SNAKE_CASE						:     int						= VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE						:     Optional[int]						= PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE						:     Tuple						= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    SCREAMING_SNAKE_CASE						:     List[Any]						= ["""input_ids""", """attention_mask"""]






    def __init__(       self     :							Tuple       ,						__SCREAMING_SNAKE_CASE     :							Union[str, Any]       ,						__SCREAMING_SNAKE_CASE     :							Optional[Any]="<unk>"       ,						__SCREAMING_SNAKE_CASE     :							Tuple="<cls>"       ,						__SCREAMING_SNAKE_CASE     :							List[Any]="<pad>"       ,						__SCREAMING_SNAKE_CASE     :							Union[str, Any]="<mask>"       ,						__SCREAMING_SNAKE_CASE     :							Dict="<eos>"       ,						**__SCREAMING_SNAKE_CASE     :							Optional[int]       ,						)     ->		Optional[Any]:
      super().__init__(**__SCREAMING_SNAKE_CASE					)
      lowerCamelCase_         =						load_vocab_file(__SCREAMING_SNAKE_CASE					)
      lowerCamelCase_         =						dict(enumerate(self.all_tokens					)					)
      lowerCamelCase_         =						{tok: ind for ind, tok in enumerate(self.all_tokens					)}
      lowerCamelCase_         =						unk_token
      lowerCamelCase_         =						cls_token
      lowerCamelCase_         =						pad_token
      lowerCamelCase_         =						mask_token
      lowerCamelCase_         =						eos_token
      lowerCamelCase_         =						self.all_tokens
      self._create_trie(self.unique_no_split_tokens					)






    def    UpperCamelCase       (       self     :							str       ,						__SCREAMING_SNAKE_CASE     :							int					)     ->		str:
      return self._id_to_token.get(__SCREAMING_SNAKE_CASE       ,						self.unk_token					)






    def    UpperCamelCase       (       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							str					)     ->		int:
      return self._token_to_id.get(__SCREAMING_SNAKE_CASE       ,						self._token_to_id.get(self.unk_token					)					)






    def    UpperCamelCase       (       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							List[str]       ,						**__SCREAMING_SNAKE_CASE     :							Any					)     ->		List[Any]:
      return text.split()






    def    UpperCamelCase       (       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							Union[str, Any]=False					)     ->		Union[str, Any]:
      return len(self._id_to_token					)






    def    UpperCamelCase       (       self     :							Dict					)     ->		List[Any]:
      return {token: i for i, token in enumerate(self.all_tokens					)}






    def    UpperCamelCase       (       self     :							int       ,						__SCREAMING_SNAKE_CASE     :							str					)     ->		int:
      return self._token_to_id.get(__SCREAMING_SNAKE_CASE       ,						self._token_to_id.get(self.unk_token					)					)






    def    UpperCamelCase       (       self     :							Tuple       ,						__SCREAMING_SNAKE_CASE     :							int					)     ->		str:
      return self._id_to_token.get(__SCREAMING_SNAKE_CASE       ,						self.unk_token					)






    def    UpperCamelCase       (       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							List[int]       ,						__SCREAMING_SNAKE_CASE     :							Optional[List[int]] = None					)     ->		List[int]:
      lowerCamelCase_         =						[self.cls_token_id]
      lowerCamelCase_         =						[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     :							Optional[int]       ,						__SCREAMING_SNAKE_CASE     :							List       ,						__SCREAMING_SNAKE_CASE     :							Optional[List] = None       ,						__SCREAMING_SNAKE_CASE     :							bool = False					)     ->		List[int]:
      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_         =						[1] + ([0] * len(__SCREAMING_SNAKE_CASE					)) + [1]
      if token_ids_a is not None:
        mask += [0] * len(__SCREAMING_SNAKE_CASE					) + [1]
      return mask






    def    UpperCamelCase       (       self     :							Any       ,						__SCREAMING_SNAKE_CASE     :							Dict       ,						__SCREAMING_SNAKE_CASE     :							int					)     ->		Dict:
      lowerCamelCase_         =						os.path.join(__SCREAMING_SNAKE_CASE       ,						(filename_prefix + '-' if filename_prefix else '') + 'vocab.txt'					)
      with open(__SCREAMING_SNAKE_CASE       ,						'w'					) as f:
        f.write('\n'.join(self.all_tokens					)					)
      return (vocab_file,)






    @property
    def    UpperCamelCase       (       self     :							Optional[int]					)     ->		int:
      return self.get_vocab_size(with_added_tokens=__SCREAMING_SNAKE_CASE					)






    def    UpperCamelCase       (       self     :							str       ,						__SCREAMING_SNAKE_CASE     :							Union[List[str], List[AddedToken]]       ,						__SCREAMING_SNAKE_CASE     :							bool = False					)     ->		int:
      return super()._add_tokens(__SCREAMING_SNAKE_CASE       ,						special_tokens=__SCREAMING_SNAKE_CASE					)












"""simple docstring"""





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer


_SCREAMING_SNAKE_CASE					:				Union[str, Any]					    =						{'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

_SCREAMING_SNAKE_CASE					:				Union[str, Any]					    =						{
    '''vocab_file''': {
        '''unc-nlp/lxmert-base-uncased''': '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/vocab.txt''',
    },
    '''tokenizer_file''': {
        '''unc-nlp/lxmert-base-uncased''': (
            '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/tokenizer.json'''
        ),
    },
}

_SCREAMING_SNAKE_CASE					:				Any					    =						{
    '''unc-nlp/lxmert-base-uncased''': 512,
}

_SCREAMING_SNAKE_CASE					:				int					    =						{
    '''unc-nlp/lxmert-base-uncased''': {'''do_lower_case''': True},
}






class      a						(					__snake_case		):
    SCREAMING_SNAKE_CASE						:     int						= VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE						:     Optional[Any]						= PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE						:     Any						= PRETRAINED_INIT_CONFIGURATION
    SCREAMING_SNAKE_CASE						:     Any						= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    SCREAMING_SNAKE_CASE						:     Optional[Any]						= LxmertTokenizer






    def __init__(       self     :							str       ,						__SCREAMING_SNAKE_CASE     :							Optional[Any]=None       ,						__SCREAMING_SNAKE_CASE     :							Optional[Any]=None       ,						__SCREAMING_SNAKE_CASE     :							str=True       ,						__SCREAMING_SNAKE_CASE     :							List[Any]="[UNK]"       ,						__SCREAMING_SNAKE_CASE     :							int="[SEP]"       ,						__SCREAMING_SNAKE_CASE     :							int="[PAD]"       ,						__SCREAMING_SNAKE_CASE     :							List[Any]="[CLS]"       ,						__SCREAMING_SNAKE_CASE     :							Any="[MASK]"       ,						__SCREAMING_SNAKE_CASE     :							List[str]=True       ,						__SCREAMING_SNAKE_CASE     :							List[str]=None       ,						**__SCREAMING_SNAKE_CASE     :							Any       ,						)     ->		Any:
      super().__init__(
          __SCREAMING_SNAKE_CASE       ,						tokenizer_file=__SCREAMING_SNAKE_CASE       ,						do_lower_case=__SCREAMING_SNAKE_CASE       ,						unk_token=__SCREAMING_SNAKE_CASE       ,						sep_token=__SCREAMING_SNAKE_CASE       ,						pad_token=__SCREAMING_SNAKE_CASE       ,						cls_token=__SCREAMING_SNAKE_CASE       ,						mask_token=__SCREAMING_SNAKE_CASE       ,						tokenize_chinese_chars=__SCREAMING_SNAKE_CASE       ,						strip_accents=__SCREAMING_SNAKE_CASE       ,						**__SCREAMING_SNAKE_CASE       ,						)

      lowerCamelCase_         =						json.loads(self.backend_tokenizer.normalizer.__getstate__()					)
      if (
          normalizer_state.get('lowercase'       ,						__SCREAMING_SNAKE_CASE					) != do_lower_case
          or normalizer_state.get('strip_accents'       ,						__SCREAMING_SNAKE_CASE					) != strip_accents
          or normalizer_state.get('handle_chinese_chars'       ,						__SCREAMING_SNAKE_CASE					) != tokenize_chinese_chars
      ):
        lowerCamelCase_         =						getattr(__SCREAMING_SNAKE_CASE       ,						normalizer_state.pop('type'					)					)
        lowerCamelCase_         =						do_lower_case
        lowerCamelCase_         =						strip_accents
        lowerCamelCase_         =						tokenize_chinese_chars
        lowerCamelCase_         =						normalizer_class(**__SCREAMING_SNAKE_CASE					)

      lowerCamelCase_         =						do_lower_case






    def    UpperCamelCase       (       self     :							Tuple       ,						__SCREAMING_SNAKE_CASE     :							Union[str, Any]       ,						__SCREAMING_SNAKE_CASE     :							Tuple=None					)     ->		Dict:
      lowerCamelCase_         =						[self.cls_token_id] + token_ids_a + [self.sep_token_id]

      if token_ids_a:
        output += token_ids_a + [self.sep_token_id]

      return output






    def    UpperCamelCase       (       self     :							str       ,						__SCREAMING_SNAKE_CASE     :							List[int]       ,						__SCREAMING_SNAKE_CASE     :							Optional[List[int]] = None					)     ->		List[int]:
      lowerCamelCase_         =						[self.sep_token_id]
      lowerCamelCase_         =						[self.cls_token_id]
      if token_ids_a is None:
        return len(cls + token_ids_a + sep					) * [0]
      return len(cls + token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]






    def    UpperCamelCase       (       self     :							List[str]       ,						__SCREAMING_SNAKE_CASE     :							str       ,						__SCREAMING_SNAKE_CASE     :							Optional[str] = None					)     ->		Tuple[str]:
      lowerCamelCase_         =						self._tokenizer.model.save(__SCREAMING_SNAKE_CASE       ,						name=__SCREAMING_SNAKE_CASE					)
      return tuple(__SCREAMING_SNAKE_CASE					)




