code: def test_train_and_evaluate(self):
      # Create a temporary directory where TensorBoard metrics are written.
      workdir = tempfile.mkdtemp()
  
      # Go two directories up to the root of the flax directory.
      flax_root_dir = pathlib.Path(__file__).parents[2]
      data_dir = (
          str(flax_root_dir) + "/.tfds/metadata"
      )  # pylint: disable=unused-variable
  
      # Get the test configuration.
      config = test.get_config()
  
      # Ensure train_and_evaluate() runs without any errors!
      def as_dataset_fn(*args, **kwargs):
          del args
          split = kwargs["split"]
          return self.raw_datasets[split]
  
      with tfds.testing.mock_data(as_dataset_fn=as_dataset_fn):
          train.train_and_evaluate(config=config, workdir=workdir)
  
imports: import functools
  import pathlib
  import tempfile
  from typing import Dict, Optional
  import warnings
  from absl.testing import absltest
  from absl.testing import parameterized
  import flax
  from flax.training import train_state
  import jax
  from jax import numpy
  import jraph
  import tensorflow
  import tensorflow_datasets
  import numpy
  from configs import default
  from configs import test
  import input_pipeline
  import train
label_desc: Use image node_id 8 for calling the OgbgMolpcbaTrainTest obj's underlying member method code with example usage: obj.test_train_and_evaluate() and returns: self