code: def testDynamicPartitionOfNestedTensors(
      self, batch_size, context_dim, num_agents
  ):
      tensor1 = tf.reshape(
          tf.range(batch_size * context_dim),
          shape=[batch_size, context_dim],
      )
      tensor2 = tf.reshape(
          tf.range(batch_size * num_agents),
          shape=[batch_size, num_agents],
      )
      nested_structure = [{"a": tensor1}, tensor2]
      partition_array = [0, 1] * (batch_size // 2) + [0] * (
          batch_size % 2
      )
      partition = tf.constant(partition_array, dtype=tf.int32)
      partitioned = mixture_agent._dynamic_partition_of_nested_tensors(
          nested_structure, partition, num_agents
      )
      evaluated = self.evaluate(partitioned)
      self.assertLen(partitioned, num_agents)
      for k in range(num_agents):
          tf.nest.assert_same_structure(evaluated[k], nested_structure)
      self.assertAllEqual(
          evaluated[0][0]["a"].shape,
          [(batch_size + 1) // 2, context_dim],
      )
      self.assertAllEqual(
          evaluated[1][0]["a"].shape, [batch_size // 2, context_dim]
      )
      self.assertAllEqual(
          evaluated[0][1].shape, [(batch_size + 1) // 2, num_agents]
      )
      self.assertAllEqual(
          evaluated[1][1].shape, [batch_size // 2, num_agents]
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.bandits.agents import lin_ucb_agent
  from tf_agents.bandits.agents import mixture_agent
  from tf_agents.bandits.agents import neural_epsilon_greedy_agent
  from tf_agents.bandits.drivers import driver_utils
  from tf_agents.bandits.policies import mixture_policy
  from tf_agents.networks import q_network
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 5 for calling the MixtureAgentTest obj's underlying member method code with example usage: obj.testDynamicPartitionOfNestedTensors(batch_size, context_dim, num_agents) without return types