code: def test_empty_list_can_be_tensorized(self):
      tokenizer = SpacyTokenizer()
      tokens = tokenizer.tokenize("Foo")
      text_field = TextField(tokens, self.word_indexer)
      list_field = ListField([text_field.empty_field()])
      fields = {
          "list": list_field,
          "bar": TextField(
              tokenizer.tokenize("BAR"), self.word_indexer
          ),
      }
      instance = Instance(fields)
      instance.index_fields(self.vocab)
      instance.as_tensor_dict()
  
imports: from typing import Dict
  import numpy
  import torch
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Token, Vocabulary, Instance
  from allennlp.data.fields import TextField, LabelField, ListField, IndexField, SequenceLabelField
  from allennlp.data.token_indexers import SingleIdTokenIndexer, TokenCharactersIndexer
  from allennlp.data.data_loaders import SimpleDataLoader
  from allennlp.data.tokenizers import SpacyTokenizer
  from allennlp.models import Model
  from allennlp.modules import Embedding
  from allennlp.modules.text_field_embedders import BasicTextFieldEmbedder
label_desc: Use image node_id 14 for calling the TestListField obj's underlying member method code with example usage: obj.test_empty_list_can_be_tensorized() without return types