code: def get_train_state(
      rng: PRNGKey, ctable: CTable
  ) -> train_state.TrainState:
      """Returns a train state."""
      model = get_model(ctable)
      params = get_initial_params(model, rng, ctable)
      tx = optax.adam(FLAGS.learning_rate)
      state = train_state.TrainState.create(
          apply_fn=model.apply, params=params, tx=tx
      )
      return state
  
imports: import functools
  from typing import Any, Dict, Tuple
  from absl import app
  from absl import flags
  from absl import logging
  from clu import metric_writers
  from flax import linen
  from flax.training import train_state
  import jax
  import jax.numpy
  import optax
  import models
  from input_pipeline import CharacterTable
  from input_pipeline import get_sequence_lengths
  from input_pipeline import mask_sequences
label_desc: Use image node_id 3 for calling a global function with example usage: get_train_state(rng, ctable) and returns: state