code: def build_program(self):
      self.predict_program = fluid.Program()
      self.learn_program = fluid.Program()
      with fluid.program_guard(self.predict_program):
          obs = layers.data(name="obs", shape=[10], dtype="float32")
          output = self.alg.predict(obs)
      self.predict_output = [output]
  
      with fluid.program_guard(self.learn_program):
          obs = layers.data(name="obs", shape=[10], dtype="float32")
          label = layers.data(name="label", shape=[1], dtype="float32")
          cost = self.alg.learn(obs, label)
  
imports: import numpy
  import unittest
  from paddle import fluid
  from parl import layers
  import parl
  import os
label_desc: Use image node_id 2 for calling the TestAgent obj's underlying member method code with example usage: obj.build_program() without return types