code: def testAsDatasetBatchSizeFullEpisodeRaisesError(self):
      spec = specs.TensorSpec([3], tf.int32, "lidar")
      replay_buffer = episodic_replay_buffer.EpisodicReplayBuffer(
          spec, capacity=10
      )
      with self.assertRaises(ValueError):
          sample_as_dataset(
              replay_buffer, num_steps=None, batch_size=10
          )
  
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 episodic_replay_buffer
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
  from tensorflow.python.ops import list_ops
label_desc: Use image node_id 16 for calling the EpisodicReplayBufferTest obj's underlying member method code with example usage: obj.testAsDatasetBatchSizeFullEpisodeRaisesError() without return types