code: def test_entropy(self):
      # check shape is [BATCHSIZE, ]
      entropy = self.dist.entropy()
      self.assertTrue(
          len(entropy.shape) == 1
          and entropy.shape[0] == self.batch_size
      )
  
imports: import random
  import numpy
  import paddle
  import unittest
  import copy
  from parl.core.paddle.policy_distribution import DiagGaussianDistribution, CategoricalDistribution, SoftCategoricalDistribution
label_desc: Use image node_id 4 for calling the SoftCategoricalDistributionTest obj's underlying member method code with example usage: obj.test_entropy() without return types