code: def test_train_metrics(
      self, loss, logits, labels, mask, expected_results
  ):
      loss = jnp.asarray(loss)
      logits = jnp.asarray(logits)
      labels = jnp.asarray(labels)
      mask = jnp.asarray(mask)
  
      train_metrics = train.TrainMetrics.single_from_model_output(
          loss=loss, logits=logits, labels=labels, mask=mask
      ).compute()
      for metric in expected_results:
          self.assertAlmostEqual(
              expected_results[metric], train_metrics[metric]
          )
  
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 5 for calling the OgbgMolpcbaTrainTest obj's underlying member method code with example usage: obj.test_train_metrics(loss, logits, labels, mask, expected_results) without return types