code: def test_mnist(self):
      mnist = tfds.image_classification.MNIST(
          data_dir=gcs_utils.gcs_path("datasets")
      )
      ds = tfds.as_numpy(mnist.as_dataset(split="train").take(1))
      example = next(iter(ds))
      _ = example["image"], example["label"]
  
file_path: datasets/tensorflow_datasets/core/utils/gcs_utils_test.py
imports: import os
  import tempfile
  import tensorflow_datasets
  from tensorflow_datasets import setup_teardown
  from tensorflow_datasets import testing
  from tensorflow_datasets.core.utils import gcs_utils
  from tensorflow_datasets.testing import test_utils
label_desc: Use image node_id 3 for calling the GcsUtilsTest obj's underlying member method code with example usage: obj.test_mnist() without return types