code: def testFloat64(self):
      # Given action values that are float 64:
      action_values = tf.convert_to_tensor(
          [1.0, 2.0, 4.0, 3.0], dtype=tf.float64
      )
      epsilon = 0.1
  
      expected = [0.025, 0.025, 0.925, 0.025]
  
      result = policy_ops.epsilon_greedy(action_values, epsilon).probs
      with self.test_session() as sess:
          self.assertAllClose(sess.run(result), expected)
  
file_path: trfl/trfl/policy_ops_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow.compat.v1
  from trfl import policy_ops
label_desc: Use image node_id 5 for calling the EpsilonGreedyTest obj's underlying member method code with example usage: obj.testFloat64() without return types