code: def result(self):
      def my_func(x):
          return random.random()
  
      return tf.compat.v1.py_func(
          my_func, [tf.ones([1], dtype=tf.float64)], tf.float64
      )
  
imports: import random
  import numpy
  import tensorflow
  from packaging import version
  from determined.keras import TFKerasTrial, TFKerasTrialContext
label_desc: Use image node_id 2 for calling the RandomMetric obj's underlying member method code with example usage: obj.result() and returns: tf, random