code: def test_as_array_produces_token_sequence(self):
      indexer = TokenCharactersIndexer(
          "characters", min_padding_length=1
      )
      padded_tokens = indexer.as_padded_tensor_dict(
          {"token_characters": [[1, 2, 3, 4, 5], [1, 2, 3], [1]]},
          padding_lengths={
              "token_characters": 4,
              "num_token_characters": 10,
          },
      )
      assert padded_tokens["token_characters"].tolist() == [
          [1, 2, 3, 4, 5, 0, 0, 0, 0, 0],
          [1, 2, 3, 0, 0, 0, 0, 0, 0, 0],
          [1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
      ]
  
file_path: allennlp/tests/data/token_indexers/character_token_indexer_test.py
imports: from collections import defaultdict
  import pytest
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Token, Vocabulary
  from allennlp.data.token_indexers import TokenCharactersIndexer
  from allennlp.data.tokenizers.character_tokenizer import CharacterTokenizer
label_desc: Use image node_id 2 for calling the CharacterTokenIndexerTest obj's underlying member method code with example usage: obj.test_as_array_produces_token_sequence() without return types