def test_random_variance(self):
d = Capability()
d.vss = 4.0
d.variance = 0.5
real_vss = d.calculate_vss(method='random')
assert real_vss >= d.vss - d.variance
assert real_vss <= d.vss + d.variance
def test_random_variance(self):
d = Capability()
d.vss = 4.0
d.variance = 0.5
real_vss = d.calculate_vss(method='random')
assert real_vss >= d.vss - d.variance
assert real_vss <= d.vss + d.variance
def test_gaussian_variance(self):
d = Capability()
d.vss = 4.0
d.variance = 0.5
max_deviation = d.variance * 6
real_vss = d.calculate_vss(method='gaussian')
assert real_vss >= d.vss - max_deviation
assert real_vss <= d.vss + max_deviation
def test_gaussian_variance(self):
d = Capability()
d.vss = 4.0
d.variance = 0.5
max_deviation = d.variance * 6
real_vss = d.calculate_vss(method='gaussian')
assert real_vss >= d.vss - max_deviation
assert real_vss <= d.vss + max_deviation
def test_error_variance(self):
d = Capability()
d.vss = 4.0
d.variance = 0.5
# Should result in a ValueError
try:
d.calculate_vss(method='nada')
except ValueError:
assert True
else:
assert False
def test_error_variance(self):
d = Capability()
d.vss = 4.0
d.variance = 0.5
# Should result in a ValueError
try:
d.calculate_vss(method='nada')
except ValueError:
assert True
else:
assert False