new_contents: import pytest
  import numpy as np
  from ogusa import household
  
  
  test_data = [(0.1, 1, 10),
               (0.2, 2.5, 55.90169944),
               (np.array([0.5, 6.2, 1.5]), 3.2,
                np.array([9.18958684, 0.002913041, 0.273217159]))]
  
  
  @pytest.mark.parametrize('c,sigma,expected', test_data,
                           ids=['Scalar 0', 'Scalar 1', 'Vector'])
  def test_marg_ut_cons(c, sigma, expected):
      # Test marginal utility of consumption calculation
      test_value = household.marg_ut_cons(c, sigma)
  
      assert np.allclose(test_value, expected)
  
  
  # def test_marg_ut_labor():
  #
  #     assert np.allclose()
  #
  #
  # def test_get_cons():
  #
  #     assert np.allclose()
  #
  #
  # def test_FOC_savings():
  #
  #     assert np.allclose()
  #
  #
  # def test_FOC_labor():
  #
  #     assert np.allclose()
  #
  #
  # def test_constraint_checker_SS():
  #
  #     assert np.allclose()
  #
  #
  # def test_constraint_checker_TPI():
  #
  #     assert np.allclose()
  
subject: test or MUc