code: def train(state, train_ds, test_ds):
      for epoch in range(1, _NUM_EPOCHS.value + 1):
          start_time = time.time()
  
          state, train_loss, train_accuracy = run_epoch(state, train_ds)
          _, test_loss, test_accuracy = run_epoch(
              state, test_ds, train=False
          )
  
          print(f"Training set accuracy {train_accuracy}")
          print(f"Training set loss {train_loss}")
          print(f"Test set accuracy {test_accuracy}")
          print(f"Test set loss {test_loss}")
  
          epoch_time = time.time() - start_time
          print(f"Epoch {epoch} in {epoch_time:0.2f} sec")
  
      return state
  
imports: from absl import app
  from absl import flags
  import os
  import time
  from flax import linen
  from flax.training import train_state
  import jax
  from jax import lax
  from jax import numpy
  import optax
  import numpy
  import tensorflow
  import tensorflowjs
  import input_pipeline
label_desc: Use image node_id 5 for calling a global function with example usage: train(state, train_ds, test_ds) and returns: state