code: def run_random_test():
      import random
  
      tests = [
          test_tweedie_p_and_phi_estimation_2p6_disp2_est,  # 1547.11469818s -> 1418.9195188410001s -> 613.7193842849999s
          test_tweedie_p_and_phi_estimation_2p5_phi_2p5_no_link_power_est,  # 1700.5806319029998s -> 1537.708712792s -> 752.2378191370001s
          test_tweedie_p_and_phi_estimation_3_phi_0p5_no_link_power_est,  # 2992.1222389420004s ->  2801.2481954240006s -> 1314.5836838070002s
          test_tweedie_p_and_phi_estimation_3_no_link_power_est,  # 2969.200690304s ->  3250.5404198899987s ->  1438.913372169s
          test_tweedie_p_and_phi_estimation_3_phi_1p5_no_link_power_est,  # 1295.719605385002s -> 1491.1029589709997s -> 789.1963182149993s
          test_tweedie_p_and_phi_estimation_5_no_link_power_est,  # 2117.0419905989984s -> 2520.0094414819996s -> 1221.1567296999992s
          test_tweedie_p_and_phi_estimation_5_phi_0p5_no_link_power_est,  # 2783.940797473999s -> 2976.205751714s -> 1513.149319389s
      ]
      return [random.choice(tests)]
  
file_path: h2o-3/h2o-py/tests/testdir_algos/glm/pyunit_tweedie_p_and_phi_ml_estimation_large.py
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.glm import H2OGeneralizedLinearEstimator
label_desc: Use image node_id 9 for calling a global function with example usage: run_random_test() and returns: list