text: import numpy as np
  from deephyper.benchmark.nas import linearReg
  from deephyper.benchmark.nas import linearRegHybrid
  from deephyper.evaluator import Evaluator
  from deephyper.nas.run import run_debug_arch
  from deephyper.search.nas import RegularizedEvolutionMixed
  
  
  def test_regovomixed_without_hp():
  
      create_evaluator = lambda: Evaluator.create(
          run_debug_arch, method="process", method_kwargs={"num_workers": 1}
      )
  
      search = RegularizedEvolutionMixed(
          linearReg.Problem, create_evaluator(), random_state=42
      )
  
      res1 = search.search(max_evals=4)
      res1_array = res1[["arch_seq"]].to_numpy()
  
      search.search(max_evals=100, timeout=1)
  
      search = RegularizedEvolutionMixed(
          linearReg.Problem,
          create_evaluator(),
          random_state=42,
      )
      res2 = search.search(max_evals=4)
      res2_array = res2[["arch_seq"]].to_numpy()
  
      assert np.array_equal(res1_array, res2_array)
  
  
  def test_regevomixed_with_hp():
  
      create_evaluator = lambda: Evaluator.create(
          run_debug_arch, method="process", method_kwargs={"num_workers": 1}
      )
  
      search = RegularizedEvolutionMixed(
          linearRegHybrid.Problem,
          create_evaluator(),
          random_state=42,
      )
  
      res1 = search.search(max_evals=4)
      res1_array = res1[["arch_seq"]].to_numpy()
  
      search.search(max_evals=100, timeout=1)
  
      search = RegularizedEvolutionMixed(
          linearRegHybrid.Problem,
          create_evaluator(),
          random_state=42,
      )
      res2 = search.search(max_evals=4)
      res2_array = res2[["arch_seq"]].to_numpy()
  
      assert np.array_equal(res1_array, res2_array)
  
  
  if __name__ == "__main__":
      # test_regovomixed_without_hp()
      test_regevomixed_with_hp()
  