class SamplesFromConfigTestCase(unittest.TestCase):
"""Tests for the functionality that reads the number of samples
for the probabilistic scenario from the configuration file."""
def setUp(self):
self.mixin = ProbabilisticEventMixin()
def test_without_parameter_we_use_the_default_value(self):
self.assertEqual(None, self.mixin._get_number_of_samples())
def test_with_empty_parameter_we_use_the_default_value(self):
self.mixin.__dict__["PROB_NUM_OF_SAMPLES"] = ""
self.assertEqual(None, self.mixin._get_number_of_samples())
def test_we_use_the_parameter_when_specified(self):
self.mixin.__dict__["PROB_NUM_OF_SAMPLES"] = \
NUMBER_OF_SAMPLES_FROM_CONFIG
self.assertEqual(int(NUMBER_OF_SAMPLES_FROM_CONFIG),
self.mixin._get_number_of_samples())
def test_default_value_with_wrong_parameter(self):
self.mixin.__dict__["PROB_NUM_OF_SAMPLES"] = "this-is-wrong"
self.assertEqual(None, self.mixin._get_number_of_samples())
def setUp(self):
self.mixin = ProbabilisticEventMixin()
self.mixin.params = {
'NUMBER_OF_SEISMICITY_HISTORIES': 0,
'NUMBER_OF_LOGIC_TREE_SAMPLES': 0,
'INVESTIGATION_TIME': 0.0,
'OUTPUT_DIR': 'foo',
}
self.mixin.serialize_results_to = ['db', 'xml']
self.mixin.job_id = -1
self.mixin.base_path = '/tmp'
self.mixin.blocks_keys = []
self.mixin.store_exposure_assets = lambda: None
self.mixin.store_vulnerability_model = lambda: None
self.mixin.partition = lambda: None
class LossMapCurveSerialization(unittest.TestCase):
def setUp(self):
self.mixin = ProbabilisticEventMixin()
self.mixin.params = {
'NUMBER_OF_SEISMICITY_HISTORIES': 0,
'NUMBER_OF_LOGIC_TREE_SAMPLES': 0,
'INVESTIGATION_TIME': 0.0,
'OUTPUT_DIR': 'foo',
}
self.mixin.serialize_results_to = ['db', 'xml']
self.mixin.job_id = -1
self.mixin.base_path = '/tmp'
self.mixin.blocks_keys = []
self.mixin.store_exposure_assets = lambda: None
self.mixin.store_vulnerability_model = lambda: None
self.mixin.partition = lambda: None
def test_loss_map_serialized_if_conditional_loss_poes(self):
self.mixin.params['CONDITIONAL_LOSS_POE'] = '0.01 0.02'
with patch('openquake.risk.job.probabilistic'
'.aggregate_loss_curve.plot_aggregate_curve'):
with patch('openquake.output.risk.create_loss_map_writer') as clw:
clw.return_value = None
self.mixin.execute()
self.assertTrue(clw.called)
def test_loss_map_not_serialized_unless_conditional_loss_poes(self):
with patch('openquake.risk.job.probabilistic'
'.aggregate_loss_curve.plot_aggregate_curve'):
with patch('openquake.output.risk.create_loss_map_writer') as clw:
clw.return_value = None
self.mixin.execute()
self.assertFalse(clw.called)
class SamplesFromConfigTestCase(unittest.TestCase):
"""Tests for the functionality that reads the number of samples
for the probabilistic scenario from the configuration file."""
def setUp(self):
self.mixin = ProbabilisticEventMixin()
def test_without_parameter_we_use_the_default_value(self):
self.assertEqual(None, self.mixin._get_number_of_samples())
def test_with_empty_parameter_we_use_the_default_value(self):
self.mixin.__dict__["PROB_NUM_OF_SAMPLES"] = ""
self.assertEqual(None, self.mixin._get_number_of_samples())
def test_we_use_the_parameter_when_specified(self):
self.mixin.__dict__["PROB_NUM_OF_SAMPLES"] = \
NUMBER_OF_SAMPLES_FROM_CONFIG
self.assertEqual(int(NUMBER_OF_SAMPLES_FROM_CONFIG),
self.mixin._get_number_of_samples())
def test_default_value_with_wrong_parameter(self):
self.mixin.__dict__["PROB_NUM_OF_SAMPLES"] = "this-is-wrong"
self.assertEqual(None, self.mixin._get_number_of_samples())
def setUp(self):
self.mixin = ProbabilisticEventMixin()
def setUp(self):
self.mixin = ProbabilisticEventMixin()
def setUp(self):
self.exposure_parser = exposure.ExposurePortfolioFile(
os.path.join(test.SCHEMA_EXAMPLES_DIR, TEST_FILE))
self.mixin = ProbabilisticEventMixin()
class EpsilonTestCase(unittest.TestCase):
"""Tests the `epsilon` method in class `ProbabilisticEventMixin`"""
def setUp(self):
self.exposure_parser = exposure.ExposurePortfolioFile(
os.path.join(test.SCHEMA_EXAMPLES_DIR, TEST_FILE))
self.mixin = ProbabilisticEventMixin()
def test_uncorrelated(self):
"""For uncorrelated jobs we sample epsilon values per asset.
A new sample should be drawn for each asset irrespective of any
building typology similarities.
"""
samples = []
for _, asset in self.exposure_parser:
sample = self.mixin.epsilon(asset)
self.assertTrue(
sample not in samples,
"%s is already in %s" % (sample, samples))
self.assertTrue(
isinstance(sample, float), "Invalid sample (%s)" % sample)
samples.append(sample)
def test_correlated(self):
"""For correlated jobs we sample epsilon values per building typology.
A sample should be drawn whenever an asset with a new building typology
is encountered. Assets of the same typology should share sample values.
Please not that building typologies and structure categories are
roughly equivalent.
"""
samples = dict()
self.mixin.__dict__["ASSET_CORRELATION"] = "perfect"
for _, asset in self.exposure_parser:
sample = self.mixin.epsilon(asset)
category = asset["structureCategory"]
# This is either the first time we see this structure category or
# the sample is identical to the one originally drawn for this
# structure category.
if category not in samples:
samples[category] = sample
else:
self.assertTrue(sample == samples[category])
# Make sure we used at least two structure categories in this test.
self.assertTrue(len(samples.keys()) > 1)
# Are all samples valid values?
for category, sample in samples.iteritems():
self.assertTrue(
isinstance(sample, float),
"Invalid sample (%s) for category %s" % (sample, category))
def test_incorrect_configuration_setting(self):
"""The correctness of the asset correlation configuration is enforced.
If the `ASSET_CORRELATION` parameter is set in the job configuration
file it should have a correct value ("perfect").
"""
self.mixin.__dict__["ASSET_CORRELATION"] = "this-is-wrong"
for _, asset in self.exposure_parser:
self.assertRaises(ValueError, self.mixin.epsilon, asset)
break
def test_correlated_with_no_structure_category(self):
"""For correlated jobs assets require a structure category property."""
self.mixin.__dict__["ASSET_CORRELATION"] = "perfect"
for _, asset in self.exposure_parser:
del asset["structureCategory"]
e = self.assertRaises(ValueError, self.mixin.epsilon, asset)
break
def setUp(self):
self.exposure_parser = exposure.ExposurePortfolioFile(
os.path.join(test.SCHEMA_EXAMPLES_DIR, TEST_FILE))
self.mixin = ProbabilisticEventMixin()
class EpsilonTestCase(unittest.TestCase):
"""Tests the `epsilon` method in class `ProbabilisticEventMixin`"""
def setUp(self):
self.exposure_parser = exposure.ExposurePortfolioFile(
os.path.join(test.SCHEMA_EXAMPLES_DIR, TEST_FILE))
self.mixin = ProbabilisticEventMixin()
def test_uncorrelated(self):
"""For uncorrelated jobs we sample epsilon values per asset.
A new sample should be drawn for each asset irrespective of any
building typology similarities.
"""
samples = []
for _, asset in self.exposure_parser:
sample = self.mixin.epsilon(asset)
self.assertTrue(sample not in samples,
"%s is already in %s" % (sample, samples))
self.assertTrue(isinstance(sample, float),
"Invalid sample (%s)" % sample)
samples.append(sample)
def test_correlated(self):
"""For correlated jobs we sample epsilon values per building typology.
A sample should be drawn whenever an asset with a new building typology
is encountered. Assets of the same typology should share sample values.
Please not that building typologies and structure categories are
roughly equivalent.
"""
samples = dict()
self.mixin.__dict__["ASSET_CORRELATION"] = "perfect"
for _, asset in self.exposure_parser:
sample = self.mixin.epsilon(asset)
category = asset["structureCategory"]
# This is either the first time we see this structure category or
# the sample is identical to the one originally drawn for this
# structure category.
if category not in samples:
samples[category] = sample
else:
self.assertTrue(sample == samples[category])
# Make sure we used at least two structure categories in this test.
self.assertTrue(len(samples.keys()) > 1)
# Are all samples valid values?
for category, sample in samples.iteritems():
self.assertTrue(
isinstance(sample, float),
"Invalid sample (%s) for category %s" % (sample, category))
def test_incorrect_configuration_setting(self):
"""The correctness of the asset correlation configuration is enforced.
If the `ASSET_CORRELATION` parameter is set in the job configuration
file it should have a correct value ("perfect").
"""
self.mixin.__dict__["ASSET_CORRELATION"] = "this-is-wrong"
for _, asset in self.exposure_parser:
self.assertRaises(ValueError, self.mixin.epsilon, asset)
break
def test_correlated_with_no_structure_category(self):
"""For correlated jobs assets require a structure category property."""
self.mixin.__dict__["ASSET_CORRELATION"] = "perfect"
for _, asset in self.exposure_parser:
del asset["structureCategory"]
e = self.assertRaises(ValueError, self.mixin.epsilon, asset)
break