text: # coding=utf-8
  # Copyright 2018 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.
  """Tokenization classes for DistilBERT."""
  
  from ...utils import logging
  from ..bert.tokenization_bert_fast import BertTokenizerFast
  from .tokenization_distilbert import DistilBertTokenizer
  
  
  logger = logging.get_logger(__name__)
  
  VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}
  
  PRETRAINED_VOCAB_FILES_MAP = {
      "vocab_file": {
          "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt",
          "distilbert-base-uncased-distilled-squad": "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt",
          "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt",
          "distilbert-base-cased-distilled-squad": "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt",
          "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt",
          "distilbert-base-multilingual-cased": "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt",
      },
      "tokenizer_file": {
          "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json",
          "distilbert-base-uncased-distilled-squad": "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json",
          "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json",
          "distilbert-base-cased-distilled-squad": "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json",
          "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json",
          "distilbert-base-multilingual-cased": "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json",
      },
  }
  
  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
      "distilbert-base-uncased": 512,
      "distilbert-base-uncased-distilled-squad": 512,
      "distilbert-base-cased": 512,
      "distilbert-base-cased-distilled-squad": 512,
      "distilbert-base-german-cased": 512,
      "distilbert-base-multilingual-cased": 512,
  }
  
  
  PRETRAINED_INIT_CONFIGURATION = {
      "distilbert-base-uncased": {"do_lower_case": True},
      "distilbert-base-uncased-distilled-squad": {"do_lower_case": True},
      "distilbert-base-cased": {"do_lower_case": False},
      "distilbert-base-cased-distilled-squad": {"do_lower_case": False},
      "distilbert-base-german-cased": {"do_lower_case": False},
      "distilbert-base-multilingual-cased": {"do_lower_case": False},
  }
  
  
  class DistilBertTokenizerFast(BertTokenizerFast):
      r"""
      Construct a "fast" DistilBERT tokenizer (backed by HuggingFace's `tokenizers` library).
  
      :class:`~transformers.DistilBertTokenizerFast` 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
      model_input_names = ["input_ids", "attention_mask"]
      slow_tokenizer_class = DistilBertTokenizer
  