code: def run_random_test():
      import random
  
      tests = [
          test_tweedie_var_power_estimation_2p1_disp2_est,  # takes 531s -> 49s (without Newton's method)
          test_tweedie_var_power_estimation_2p6_disp2_est,  # takes 1034s -> 434s
          test_tweedie_var_power_estimation_2p5_phi_2p5_no_link_power_est,  # takes 1968s -> 1064s
          test_tweedie_var_power_estimation_3_phi_0p5_no_link_power_est,  # takes 1185s -> 685s
          test_tweedie_var_power_estimation_3_no_link_power_est,  # takes 2654s -> 1444s
          test_tweedie_var_power_estimation_3_phi_1p5_no_link_power_est,  # takes 2309s -> 1314s
          test_tweedie_var_power_estimation_5_no_link_power_est,  # takes 830s -> 964s
          test_tweedie_var_power_estimation_5_phi_0p5_no_link_power_est,  # takes 1151s -> 1221s
      ]
      return [random.choice(tests)]
  
file_path: h2o-3/h2o-py/tests/testdir_algos/glm/pyunit_tweedie_variance_power_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 10 for calling a global function with example usage: run_random_test() and returns: list