code: def test_GreedyGaussianSegmentation(univariate_mean_shift):
      """Test the GreedyGaussianSegmentation."""
      ggs = GreedyGaussianSegmentation(k_max=5, lamb=0.5)
      assert ggs.get_params() == {
          "k_max": 5,
          "lamb": 0.5,
          "verbose": False,
          "max_shuffles": 250,
          "random_state": None,
      }
  
imports: import numpy
  import pytest
  from sktime.annotation.ggs import GGS, GreedyGaussianSegmentation
label_desc: Use image node_id 3 for calling a global function with example usage: test_GreedyGaussianSegmentation(univariate_mean_shift) without return types