code: def testDuplicateSpecNames(self):
      spec = [
          specs.TensorSpec([3], tf.float32, "lidar"),
          specs.TensorSpec([5], tf.float32, "lidar"),
          specs.TensorSpec([3, 2], tf.float32, "lidar"),
      ]
      replay_table = table.Table(spec, capacity=3)
  
      variables = replay_table.variables()
      self.assertEqual(3, len(variables))
      self.assertAllEqual(
          ["Table/lidar:0", "Table/lidar_1:0", "Table/lidar_2:0"],
          [v.name for v in variables],
      )
  
      expected_slots = ["lidar", "lidar_1", "lidar_2"]
      self.assertAllEqual(replay_table.slots, expected_slots)
      tensors = replay_table.read(0, expected_slots)
      tf.nest.map_structure(
          lambda x, y: self.assertEqual(x.shape, y.shape), spec, tensors
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.replay_buffers import table
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 8 for calling the TableTest obj's underlying member method code with example usage: obj.testDuplicateSpecNames() without return types