def test_get_covariance_symbol_is_triangular(self): closer = LogNormalClosure(3,multivariate=True) #covariance between species 1 and 2 == covariance between sp. 2 and 1 answer1 =closer._get_covariance_symbol(self.__n_counter, 1, 0) answer2 = closer._get_covariance_symbol(self.__n_counter, 0, 1) self.assertEqual(answer1, answer2)
def test_get_covariance_symbol_is_triangular(self): closer = LogNormalClosure(3, multivariate=True) #covariance between species 1 and 2 == covariance between sp. 2 and 1 answer1 = closer._get_covariance_symbol(self.__n_counter, 1, 0) answer2 = closer._get_covariance_symbol(self.__n_counter, 0, 1) self.assertEqual(answer1, answer2)
def test_get_covariance_symbol2(self): closer = LogNormalClosure(3,multivariate=True) expected = sympy.Symbol("yx6") answer = closer._get_covariance_symbol(self.__n_counter, 1, 0) self.assertEqual(answer, expected)
def test_get_covariance_symbol2(self): closer = LogNormalClosure(3, multivariate=True) expected = sympy.Symbol("yx6") answer = closer._get_covariance_symbol(self.__n_counter, 1, 0) self.assertEqual(answer, expected)