code: def get_dist(self, logits=None):
      if logits is None:
          logits = paddle.rand(
              shape=(self.batch_size, self.num_actions)
          )
      dist = CategoricalDistribution(logits)
      return dist
  
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 3 for calling the CategoricalDistributionTest obj's underlying member method code with example usage: obj.get_dist(logits) and returns: dist