def setUp(self):
self.test_func = VulnerabilityFunction(
self.IMLS_GOOD, self.LOSS_RATIOS_GOOD, self.COVS_GOOD, "LN", "RC")
self.test_func.seed(seed=3)
class VulnerabilityFunctionTestCase(unittest.TestCase):
"""
Test for :py:class:`risklib.vulnerability_function.VulnerabilityFunction`.
"""
IMLS_GOOD = [0.005, 0.007, 0.0098, 0.0137, 0.0192, 0.0269]
IMLS_BAD = [-0.1, 0.007, 0.0098, 0.0137, 0.0192, 0.0269]
IMLS_DUPE = [0.005, 0.005, 0.0098, 0.0137, 0.0192, 0.0269]
IMLS_BAD_ORDER = [0.005, 0.0098, 0.007, 0.0137, 0.0192, 0.0269]
LOSS_RATIOS_GOOD = [0.1, 0.3, 0.0, 0.5, 1.0, 0.6]
LOSS_RATIOS_BAD = [0.1, 0.3, 0.0, 1.1, -0.1, 0.6]
LOSS_RATIOS_TOO_SHORT = [0.1, 0.3, 0.0, 0.5, 1.0]
LOSS_RATIOS_TOO_LONG = [0.1, 0.3, 0.0, 0.5, 1.0, 0.6, 0.5]
COVS_GOOD = [0.3, 0.1, 0.3, 0.0, 0.3, 10]
COVS_BAD = [-0.1, 0.1, 0.3, 0.0, 0.3, 10]
COVS_TOO_SHORT = [0.3, 0.1, 0.3, 0.0, 0.3]
COVS_TOO_LONG = [0.3, 0.1, 0.3, 0.0, 0.3, 10, 11]
def setUp(self):
self.test_func = VulnerabilityFunction(
self.IMLS_GOOD, self.LOSS_RATIOS_GOOD, self.COVS_GOOD, "LN", "RC")
self.test_func.seed(seed=3)
def test_vuln_func_constructor_raises_on_bad_imls(self):
# This test attempts to invoke AssertionErrors by passing 3 different
# sets of bad IMLs to the constructor:
# - IML list containing out-of-range value(s)
# - IML list containing duplicates
# - IML list ordered improperly
self.assertRaises(
AssertionError, VulnerabilityFunction,
self.IMLS_BAD, self.LOSS_RATIOS_GOOD, self.COVS_GOOD, "LN", "RC")
self.assertRaises(
AssertionError, VulnerabilityFunction,
self.IMLS_DUPE, self.LOSS_RATIOS_GOOD, self.COVS_GOOD, "LN", "RC")
self.assertRaises(
AssertionError, VulnerabilityFunction,
self.IMLS_BAD_ORDER, self.LOSS_RATIOS_GOOD,
self.COVS_GOOD, "LN", "RC")
def test_vuln_func_constructor_raises_on_bad_cov(self):
# This test attempts to invoke AssertionErrors by passing 3 different
# sets of bad CoV values to the constructor:
# - CoV list containing out-range-values
# - CoV list which is shorter than the IML list
# - CoV list which is longer than the IML list
self.assertRaises(
AssertionError, VulnerabilityFunction,
self.IMLS_GOOD, self.LOSS_RATIOS_GOOD, self.COVS_BAD, "LN", "RC")
self.assertRaises(
AssertionError, VulnerabilityFunction,
self.IMLS_GOOD, self.LOSS_RATIOS_GOOD,
self.COVS_TOO_SHORT, "LN", "RC")
self.assertRaises(
AssertionError, VulnerabilityFunction,
self.IMLS_GOOD, self.LOSS_RATIOS_GOOD,
self.COVS_TOO_LONG, "LN", "RC")
def test_vuln_func_constructor_raises_on_bad_loss_ratios(self):
# This test attempts to invoke AssertionErrors by passing 3 different
# sets of bad loss ratio values to the constructor:
# - loss ratio list containing out-range-values
# - loss ratio list which is shorter than the IML list
# - loss ratio list which is longer than the IML list
self.assertRaises(
AssertionError, VulnerabilityFunction,
self.IMLS_GOOD, self.LOSS_RATIOS_BAD, self.COVS_GOOD, "LN", "RC")
self.assertRaises(
AssertionError, VulnerabilityFunction,
self.IMLS_GOOD, self.LOSS_RATIOS_TOO_SHORT,
self.COVS_GOOD, "LN", "RC")
self.assertRaises(
AssertionError, VulnerabilityFunction,
self.IMLS_GOOD, self.LOSS_RATIOS_TOO_LONG, self.COVS_GOOD,
"LN", "RC")
def test_loss_ratio_interp_many_values(self):
expected_lrs = numpy.array([0.07170362, 0.1754156, 0.09802228])
test_input = [0.005, 0.006, 0.0269]
numpy.testing.assert_allclose(expected_lrs, self.test_func(test_input))
def test_loss_ratio_interp_many_values_clipped(self):
# Given a list of IML values (abscissae), test for proper interpolation
# of loss ratios (ordinates).
# This test also ensures that input IML values are 'clipped' to the IML
# range defined for the vulnerability function.
expected_lrs = numpy.array([0.0, 0.16131791, 0.01780234])
test_input = [0.00049, 0.006, 2.7]
numpy.testing.assert_allclose(expected_lrs, self.test_func(test_input))
def test_cov_interp_many_values(self):
expected_covs = numpy.array([0.3, 0.2, 10])
test_input = [0.005, 0.006, 0.0269]
numpy.testing.assert_allclose(
expected_covs, self.test_func._cov_for(test_input))
def test_cov_interp_many_values_clipped(self):
# Given a list of IML values (abscissae), test for proper interpolation
# of CoVs.
# This test also ensures that input IML values are 'clipped' to the IML
# range defined for the vulnerability function.
expected_covs = numpy.array([0.3, 0.2, 10])
test_input = [0.0049, 0.006, 0.027]
numpy.testing.assert_allclose(
expected_covs, self.test_func._cov_for(test_input))
