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")