


'''simple docstring'''






from __future__ import annotations






class        __snake_case	:







    """simple docstring"""



    def __init__(       self   :  Tuple   ,						lowerCamelCase   :  Dict=None		)       ->  List[str]:
      lowerCAmelCase_      :				Optional[Any]      =       data
      lowerCAmelCase_      :				Any      =       None





    def __repr__(       self   :  Dict		)       ->  int:
      lowerCAmelCase_      :				Any      =       []
      lowerCAmelCase_      :				Optional[Any]      =       self
      while temp:
        string_rep.append(F'{temp.data}'		)
        lowerCAmelCase_      :				List[Any]      =       temp.next
      return "->".join(lowerCamelCase		)







def     UpperCamelCase_      (   A__ :       list ):
  '''simple docstring'''





  if not elements_list:
    raise Exception("""The Elements List is empty""" )

  lowerCAmelCase_      :				Union[str, Any]      =       Node(elements_list[0] )
  for i in range(1							,   len(A__ ) ):
    lowerCAmelCase_      :				Optional[int]      =       Node(elements_list[i] )
    lowerCAmelCase_      :				Union[str, Any]      =       current.next
  return head







def     UpperCamelCase_      (   A__ :       Node ):
  '''simple docstring'''





  if head_node is not None and isinstance(A__							,   A__ ):
    print_reverse(head_node.next )
    print(head_node.data )







def     UpperCamelCase_      (   ):
  '''simple docstring'''





  from doctest import testmod

  testmod()

  lowerCAmelCase_      :				Optional[int]      =       make_linked_list([14, 52, 14, 12, 43] )
  print("""Linked List:""" )
  print(A__ )
  print("""Elements in Reverse:""" )
  print_reverse(A__ )


if __name__ == "__main__":
  main()








'''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


__A :  Any    							=				{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

__A :  int    							=				{
    "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"
        ),
    },
}

__A :  List[Any]    							=				{
    "unc-nlp/lxmert-base-uncased": 512,
}

__A :  Optional[Any]    							=				{
    "unc-nlp/lxmert-base-uncased": {"do_lower_case": True},
}






class        __snake_case	(       _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase       			= VOCAB_FILES_NAMES
    lowercase       			= PRETRAINED_VOCAB_FILES_MAP
    lowercase       			= PRETRAINED_INIT_CONFIGURATION
    lowercase       			= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase       			= LxmertTokenizer

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

      lowerCAmelCase_      :				Optional[Any]      =       json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
      if (
          normalizer_state.get("""lowercase"""   ,						lowerCamelCase		) != do_lower_case
          or normalizer_state.get("""strip_accents"""   ,						lowerCamelCase		) != strip_accents
          or normalizer_state.get("""handle_chinese_chars"""   ,						lowerCamelCase		) != tokenize_chinese_chars
      ):
        lowerCAmelCase_      :				Tuple      =       getattr(lowerCamelCase   ,						normalizer_state.pop("""type"""		)		)
        lowerCAmelCase_      :				Optional[Any]      =       do_lower_case
        lowerCAmelCase_      :				Dict      =       strip_accents
        lowerCAmelCase_      :				List[Any]      =       tokenize_chinese_chars
        lowerCAmelCase_      :				List[Any]      =       normalizer_class(**lowerCamelCase		)

      lowerCAmelCase_      :				Tuple      =       do_lower_case

    def __lowercase       (       self   :  Tuple   ,						lowerCamelCase   :  str   ,						lowerCamelCase   :  Optional[Any]=None		)       ->  int:
      lowerCAmelCase_      :				Any      =       [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 __lowercase       (       self   :  str   ,						lowerCamelCase   :  List[int]   ,						lowerCamelCase   :  Optional[List[int]] = None		)       ->  List[int]:
      lowerCAmelCase_      :				str      =       [self.sep_token_id]
      lowerCAmelCase_      :				Optional[int]      =       [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 __lowercase       (       self   :  Tuple   ,						lowerCamelCase   :  str   ,						lowerCamelCase   :  Optional[str] = None		)       ->  Tuple[str]:
      lowerCAmelCase_      :				int      =       self._tokenizer.model.save(lowerCamelCase   ,						name=lowerCamelCase		)
      return tuple(lowerCamelCase		)



