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')
