text: # coding=utf-8
  # Copyright 2020 The Google AI Team, Stanford University and The HuggingFace Inc. team.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  from ..bert.tokenization_bert_fast import BertTokenizerFast
  from .tokenization_lxmert import LxmertTokenizer
  
  
  ####################################################
  # Mapping from the keyword arguments names of Tokenizer `__init__`
  # to file names for serializing Tokenizer instances
  ####################################################
  VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}
  
  ####################################################
  # Mapping from the keyword arguments names of Tokenizer `__init__`
  # to pretrained vocabulary URL for all the model ids.
  ####################################################
  PRETRAINED_VOCAB_FILES_MAP = {
      "vocab_file": {
          "unc-nlp/lxmert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/vocab.txt",
      },
      "tokenizer_file": {
          "unc-nlp/lxmert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/tokenizer.json",
      },
  }
  
  ####################################################
  # Mapping from model ids to max length of inputs
  ####################################################
  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
      "unc-nlp/lxmert-base-uncased": 512,
  }
  ####################################################
  # Mapping from model ids to a dictionary of additional
  # keyword arguments for Tokenizer `__init__`.
  # To be used for checkpoint specific configurations.
  ####################################################
  PRETRAINED_INIT_CONFIGURATION = {
      "unc-nlp/lxmert-base-uncased": {"do_lower_case": True},
  }
  
  
  class LxmertTokenizerFast(BertTokenizerFast):
      r"""
      Construct a "fast" LXMERT tokenizer (backed by HuggingFace's `tokenizers` library).
  
      :class:`~transformers.LxmertTokenizerFast` is identical to :class:`~transformers.BertTokenizerFast` and runs
      end-to-end tokenization: punctuation splitting and wordpiece.
  
      Refer to superclass :class:`~transformers.BertTokenizerFast` for usage examples and documentation concerning
      parameters.
      """
      vocab_files_names = VOCAB_FILES_NAMES
      pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
      max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      pretrained_init_configuration = PRETRAINED_INIT_CONFIGURATION
      slow_tokenizer_class = LxmertTokenizer
  