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
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_from_json(self):
data = open(os.path.normpath(os.path.join(os.path.dirname(__file__),"./resources/files/capability_behavior.json"))).read()
d = Capability(json=data)
assert d.vss == 5.0
assert d.variance == 0.0
assert d.non_swim_turning == "random"
assert d.swim_turning == "random"
assert d.calculated_vss == 5.0
assert d.calculate_vss() == 5.0
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_from_json(self):
data = open(os.path.normpath(os.path.join(os.path.dirname(__file__), "./resources/files/capability_behavior.json"))).read()
d = Capability(json=data)
assert d.vss == 5.0
assert d.variance == 0.0
assert d.non_swim_turning == "random"
assert d.swim_turning == "random"
assert d.calculated_vss == 5.0
assert d.calculate_vss() == 5.0
