def test_mackinnonp_small(): val_large = mackinnonp(-7.0, regression="c", num_unit_roots=1, dist_type="adf-z") val = mackinnonp(-10.0, regression="c", num_unit_roots=1, dist_type="adf-z") assert val < val_large
def test_mackinnonp_large(): val = mackinnonp(100.0, regression="c", num_unit_roots=1) assert val == 1.0
def test_mackinnonp_errors(): with pytest.raises(ValueError): mackinnonp(-1.0, regression="c", num_unit_roots=2, dist_type="ADF-z") with pytest.raises(ValueError): mackinnonp(-1.0, dist_type="unknown")
def test_mackinnonp_large(): val = mackinnonp(100.0, regression="c", num_unit_roots=1) assert val == 1.0
def test_mackinnonp_small(): val_large = mackinnonp(-7.0, regression="c", num_unit_roots=1, dist_type='adf-z') val = mackinnonp(-10.0, regression="c", num_unit_roots=1, dist_type='adf-z') assert val < val_large
def test_mackinnonp_errors(): with pytest.raises(ValueError): mackinnonp(-1.0, regression="c", num_unit_roots=2, dist_type='ADF-z') with pytest.raises(ValueError): mackinnonp(-1.0, dist_type='unknown')