code: def setUp(self):
      super(TestOpenaiTransformerBytePairIndexer, self).setUp()
  
      encoder_path = self.TEST_DIR / "encoder.json"
      bpe_path = self.TEST_DIR / "vocab.bpe"
      transformer_model_path = self.TEST_DIR / "model.tar.gz"
  
      symbols = ["e", "w", "o", "wo", "."]
      byte_pairs = [
          (sym1, sym2 + end)
          for sym1 in symbols  # prefer earlier first symbol
          for sym2 in symbols  # if tie, prefer earlier second symbol
          for end in ("</w>", "")
      ]  # if tie, prefer ending a word
      encoding = dict(
          ("{sym1}{sym2}", idx + 1)
          for idx, (sym1, sym2) in enumerate(byte_pairs)
      )
  
      with open(encoder_path, "w") as encoder_file:
          json.dump(encoding, encoder_file)
  
      with open(bpe_path, "w") as bpe_file:
          bpe_file.write("#version 0.0\n")
          for sym1, sym2 in byte_pairs:
              bpe_file.write("{sym1} {sym2}\n")
          bpe_file.write("\n")
  
      with tarfile.open(transformer_model_path, "w") as tf:
          tf.add(encoder_path, "model/encoder_bpe_40000.json")
          tf.add(bpe_path, "model/vocab_40000.bpe")
  
      self.indexer = OpenaiTransformerBytePairIndexer(
          encoding, byte_pairs
      )
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/data/token_indexers/openai_transformer_byte_pair_indexer_test.py
imports: from __future__ import with_statement
  from __future__ import division
  from __future__ import absolute_import
  import json
  import tarfile
  import pytest
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Token
  from allennlp.data.token_indexers import OpenaiTransformerBytePairIndexer
  from io import open
label_desc: Use image node_id 1 for calling the TestOpenaiTransformerBytePairIndexer obj's underlying member method code with example usage: obj.setUp() without return types