code: def testDeterministicAsDataset(self, buffer_batch_size):
      max_length = 3
      num_adds = 3
      unused_rb, rb_values = self._create_collect_rb_dataset(
          max_length,
          buffer_batch_size,
          num_adds,
          sample_batch_size=None,
      )
  
      expected = np.hstack(
          [
              np.arange(max_length) + 10 * i
              for i in range(buffer_batch_size)
          ]
      )
      self.assertAllEqual(expected, rb_values)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.replay_buffers import tf_uniform_replay_buffer
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 20 for calling the TFUniformReplayBufferTest obj's underlying member method code with example usage: obj.testDeterministicAsDataset(buffer_batch_size) without return types