code: def test_dict_entropy():
      """distribution test"""
      dist = get_dict_distribution()
      assert dist.entropy().numpy().ndim == 1
      assert dist.entropy().numpy().shape == (100,)
  
file_path: maze/maze/test/distributions/test_dict.py
imports: import numpy
  import torch
  from gym import spaces
  from maze.distributions.bernoulli import BernoulliProbabilityDistribution
  from maze.distributions.categorical import CategoricalProbabilityDistribution
  from maze.distributions.dict import DictProbabilityDistribution
label_desc: Use image node_id 3 for calling a global function with example usage: test_dict_entropy() without return types