code: def np_values(self, spec, batch_size=1):
      def ones(sp):
          return np.ones(
              [batch_size] + sp.shape.as_list(),
              dtype=sp.dtype.as_numpy_dtype,
          )
  
      return tf.nest.map_structure(ones, spec)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.replay_buffers import episodic_table
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 2 for calling the EpisodicTableTest obj's underlying member method code with example usage: obj.np_values(spec, batch_size) and returns: tf, np