code: def test_update_with_not_exact_sequence_type_matching(self) -> None:
      # Prepare some data in the Reverb server.
      self._push_nested_data()
  
      # The second element (i.e the value of `var1`) was in a tuple in the
      # original signature, here we place it into a list.
      variables = (
          tf.Variable(-1, dtype=tf.int64, shape=()),
          {
              "var1": [
                  tf.Variable([0, 0], dtype=tf.float64, shape=(2,))
              ],
              "var2": tf.Variable(
                  [[0], [0]], dtype=tf.int32, shape=(2, 1)
              ),
          },
      )
  
      # Sequence type check is turned off by default allowing sequence type
      # differences in the signature. This is required to be able work with
      # policies loaded from file which often change tuple to e.g. `ListWrapper`.
      variable_container = (
          reverb_variable_container.ReverbVariableContainer(
              self._server_address
          )
      )
      variable_container.update(variables)
  
      # Check the values of the `variables`.
      self._assert_nested_variable_updated(
          variables, check_nest_seq_types=False
      )
  
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 12 for calling the ReverbVariableContainerTest obj's underlying member method code with example usage: obj.test_update_with_not_exact_sequence_type_matching() without return types