code: def test_set_skip_indexing_true(self):
      reader = TextClassificationJsonReader(skip_label_indexing=True)
      ag_path = (
          AllenNlpTestCase.FIXTURES_ROOT
          / "data"
          / "text_classification_json"
          / "integer_labels.jsonl"
      )
      instances = list(reader.read(ag_path))
  
      instance1 = {
          "tokens": ["This", "text", "has", "label", "0"],
          "label": 0,
      }
      instance2 = {
          "tokens": ["This", "text", "has", "label", "1"],
          "label": 1,
      }
  
      assert len(instances) == 2
      fields = instances[0].fields
      assert [t.text for t in fields["tokens"].tokens] == instance1[
          "tokens"
      ]
      assert fields["label"].label == instance1["label"]
      fields = instances[1].fields
      assert [t.text for t in fields["tokens"].tokens] == instance2[
          "tokens"
      ]
      assert fields["label"].label == instance2["label"]
  
      with pytest.raises(ValueError) as exec_info:
          ag_path = (
              AllenNlpTestCase.FIXTURES_ROOT
              / "data"
              / "text_classification_json"
              / "imdb_corpus.jsonl"
          )
          list(reader.read(ag_path))
      assert (
          str(exec_info.value)
          == "Labels must be integers if skip_label_indexing is True."
      )
  
file_path: allennlp/tests/data/dataset_readers/text_classification_json_test.py
imports: import pytest
  from typing import List
  import spacy
  from allennlp.data.dataset_readers import TextClassificationJsonReader
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data.tokenizers.sentence_splitter import SpacySentenceSplitter
  from allennlp.common.util import get_spacy_model
label_desc: Use image node_id 1 for calling the TestTextClassificationJsonReader obj's underlying member method code with example usage: obj.test_set_skip_indexing_true() without return types