def test_pearson_linear(self):
"""
Test the CRITIC.Pearson weighting method with a linear association.
"""
self.assertAlmostEqualArrays(
critic(np.array(get_matrix01(), dtype=np.float64), "Pearson"),
np.array(get_vector21(), dtype=np.float64),
)
def test_nested_list(self):
"""
Test the CRITIC weighting method with a nested list.
"""
self.assertAlmostEqualArrays(
critic(get_matrix01()),
np.array(get_vector21(), dtype=np.float64),
)
def test_float32(self):
"""
Test the CRITIC weighting method with a float32 NumPy array.
"""
self.assertAlmostEqualArrays(
critic(np.array(get_matrix01(), dtype=np.float32)),
np.array(get_vector21(), dtype=np.float64),
)
def test_nonlinear(self):
"""
Test the CRITIC weighting method with a non-linear association.
"""
self.assertAlmostEqualArrays(
critic(np.array(get_matrix02(), dtype=np.float64)),
np.array(get_vector20(), dtype=np.float64),
)
def test_abspearson_nested_list(self):
"""
Test the CRITIC.AbsPearson weighting method with a nested list.
"""
self.assertAlmostEqualArrays(
critic(get_matrix01(), "AbsPearson"),
np.array(get_vector22(), dtype=np.float64),
)
def test_abspearson_float32(self):
"""
Test the CRITIC.AbsPearson weighting method with a float32 NumPy
array.
"""
self.assertAlmostEqualArrays(
critic(np.array(get_matrix01(), dtype=np.float32), "AbsPearson"),
np.array(get_vector22(), dtype=np.float64),
)
