code: def setUp(self):
      super().setUp()
  
      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      vocab = [
          "l",
          "o",
          "w",
          "e",
          "r",
          "s",
          "t",
          "i",
          "d",
          "n",
          "\u0120",
          "\u0120l",
          "\u0120n",
          "\u0120lo",
          "\u0120low",
          "er",
          "\u0120lowest",
          "\u0120newer",
          "\u0120wider",
          "[UNK]",
      ]
      vocab_tokens = dict(zip(vocab, range(len(vocab))))
      merges = [
          "#version: 0.2",
          "\u0120 l",
          "\u0120l o",
          "\u0120lo w",
          "e r",
          "",
      ]
      self.special_tokens_map = {"unk_token": "[UNK]"}
  
      self.vocab_file = os.path.join(
          self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"]
      )
      self.merges_file = os.path.join(
          self.tmpdirname, VOCAB_FILES_NAMES["merges_file"]
      )
      with open(self.vocab_file, "w", encoding="utf-8") as fp:
          fp.write(json.dumps(vocab_tokens) + "\n")
      with open(self.merges_file, "w", encoding="utf-8") as fp:
          fp.write("\n".join(merges))
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/models/deberta/test_tokenization_deberta.py
imports: import json
  import os
  import unittest
  from transformers import DebertaTokenizer, DebertaTokenizerFast
  from transformers.models.deberta.tokenization_deberta import VOCAB_FILES_NAMES
  from transformers.testing_utils import slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 1 for calling the DebertaTokenizationTest obj's underlying member method code with example usage: obj.setUp() without return types