def test_constant0_variable_2(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" const = Constant0() values = [0.0000001, 0.0000001, 0.0000002] loglikeli = const.calculate_loglikelihood(values) if abs(loglikeli) < 10000000: raise Exception("problem in managing constant variables") rand = RandomVariable() rand.calculate_parameters(values) if not rand.get_distribution_type() == "IMMEDIATE": raise Exception("Expected a constant!") loglikeli = rand.calculate_loglikelihood(values) if abs(loglikeli) < 10000000: raise Exception("problem in managing constant variables (2)")
def test_normal_variable(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" mu = 53 sigma = 4 tol = 0.15 norm = Normal(mu=mu, sigma=sigma) values = norm.get_values(no_values=400) rand = RandomVariable() rand.calculate_parameters(values) if not rand.get_distribution_type() == "NORMAL": raise Exception("Excepted a normal!") mu_r = rand.random_variable.mu sigma_r = rand.random_variable.sigma diff_value_mu = abs(mu - mu_r) / (max(abs(mu), abs(mu_r))) diff_value_sigma = abs(sigma - sigma_r) / (max(abs(sigma), abs(sigma_r))) if diff_value_mu > tol or diff_value_sigma > tol: raise Exception("parameters found outside tolerance")
def test_exponential_variable(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" loc = 0 scale = 5 tol = 0.2 exp = Exponential(loc=loc, scale=scale) values = exp.get_values(no_values=400) rand = RandomVariable() rand.calculate_parameters(values) if not rand.get_distribution_type() == "EXPONENTIAL": raise Exception("Expected an exponential!") loc_r = rand.random_variable.loc scale_r = rand.random_variable.scale diff_value_loc = abs(loc - loc_r) / (max(abs(loc), abs(loc_r)) + 0.000001) diff_value_scale = abs(scale - scale_r) / (max(abs(scale), abs(scale_r)) + 0.000001) if diff_value_loc > tol or diff_value_scale > tol: raise Exception("parameters found outside tolerance")
def test_uniform_variable(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" loc = 53 scale = 32 tol = 0.15 unif = Uniform(loc=loc, scale=scale) values = unif.get_values(no_values=400) rand = RandomVariable() rand.calculate_parameters(values) if not rand.get_distribution_type() == "UNIFORM": raise Exception("Expected an uniform!") loc_r = rand.random_variable.loc scale_r = rand.random_variable.scale diff_value_loc = abs(loc - loc_r) / (max(abs(loc), abs(loc_r))) diff_value_scale = abs(scale - scale_r) / (max(abs(scale), abs(scale_r))) if diff_value_loc > tol or diff_value_scale > tol: raise Exception("parameters found outside tolerance")