code: def test_repr_returns_meaningful_string_without_decoders():
      dataset_info = create_dataset_info()
      with mock.patch.object(
          array_record_data_source, "ArrayRecordDataSource"
      ):
          source = array_record.ArrayRecordDataSource(
              dataset_info, split="train"
          )
          assert (
              repr(source)
              == "DataSource(name=dataset_name, split='train', decoders=None)"
          )
  
file_path: datasets/tensorflow_datasets/core/data_sources/array_record_test.py
imports: from unittest import mock
  import pytest
  import tensorflow_datasets
  from tensorflow_datasets.core import dataset_info
  from tensorflow_datasets.core import decode
  from tensorflow_datasets.core import file_adapters
  from tensorflow_datasets.core import splits
  from tensorflow_datasets.core.data_sources import array_record
  from tensorflow_datasets.core.utils import shard_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import array_record_data_source
label_desc: Use image node_id 6 for calling a global function with example usage: test_repr_returns_meaningful_string_without_decoders() without return types