def test_cov_exists_precision(self):
"""
Check that the _cov_exists function returns True for a Gaussian that has a covariance that is well defined
through the precision.
"""
gaussian = Gaussian(prec=1.0, h_vec=0.0, g_val=0.0, var_names=["a"])
self.assertTrue(gaussian._cov_exists())
def test_cov_exists(self):
"""
Check that the _cov_exists function returns True for a Gaussian that has a well defined covariance.
"""
gaussian = Gaussian(cov=1.0, mean=0.0, log_weight=0.0, var_names=["a"])
self.assertTrue(gaussian._cov_exists())
def test_cov_not_exists(self):
"""
Check that the _cov_exists function returns False for a Gaussian that has an undefined covariance.
"""
gaussian = Gaussian(prec=0.0, h_vec=0.0, g_val=0.0, var_names=["a"])
self.assertFalse(gaussian._cov_exists())