code: def _assert_nested_variable_updated(
      self,
      variables: types.NestedVariable,
      check_nest_seq_types: bool = True,
  ) -> None:
      # Prepare the exptected content of the variables.
      expected_values = (
          tf.constant(0, dtype=tf.int64, shape=()),
          {
              "var1": (
                  tf.constant([1, 1], dtype=tf.float64, shape=(2,)),
              ),
              "var2": tf.constant(
                  [[2], [3]], dtype=tf.int32, shape=(2, 1)
              ),
          },
      )
      flat_expected_values = tf.nest.flatten(expected_values)
  
      # Assert that the variables have the same content as the expected values.
      # Meaning that the two nested structure have to be the same.
      self.assertIsNone(
          nest_utils.assert_same_structure(
              variables,
              expected_values,
              check_types=check_nest_seq_types,
          )
      )
      # And the values in `variables` have to be equal to (or close to, depending
      # on the component type) to the expected ones.
      flat_variables = tf.nest.flatten(variables)
      self.assertAllEqual(flat_variables[0], flat_expected_values[0])
      self.assertAllClose(flat_variables[1], flat_expected_values[1])
      self.assertAllEqual(flat_variables[2], flat_expected_values[2])
  
imports: from typing import Optional, Text, Tuple
  from absl import logging
  from absl.testing import parameterized
  import numpy
  import portpicker
  import reverb
  import tensorflow.compat.v2
  from tf_agents.experimental.distributed import reverb_variable_container
  from tf_agents.system import system_multiprocessing
  from tf_agents.typing import types
  from tf_agents.utils import nest_utils
  from tf_agents.utils import test_utils
label_desc: Use image node_id 20 for calling the ReverbVariableContainerTest obj's underlying member method code with example usage: obj._assert_nested_variable_updated(variables, check_nest_seq_types) without return types