def setUp(self):
self.params = {
'CALCULATION_MODE': 'Hazard',
'REFERENCE_VS30_VALUE': 500}
self.imls = [5.0000e-03, 7.0000e-03,
1.3700e-02, 1.9200e-02, 2.6900e-02, 3.7600e-02, 5.2700e-02,
7.3800e-02, 9.8000e-02, 1.0300e-01, 1.4500e-01, 2.0300e-01,
2.8400e-01, 3.9700e-01, 5.5600e-01, 7.7800e-01, 1.0900e+00,
1.5200e+00, 2.1300e+00]
self.job = self.create_job_with_mixin(self.params,
opensha.ClassicalMixin)
self.job_id = self.job.job_id
self.empty_mean_curve = []
# deleting server side cached data
kvs.flush()
mean_curve = [9.8728e-01, 9.8266e-01, 9.4957e-01,
9.0326e-01, 8.1956e-01, 6.9192e-01, 5.2866e-01, 3.6143e-01,
2.4231e-01, 2.2452e-01, 1.2831e-01, 7.0352e-02, 3.6060e-02,
1.6579e-02, 6.4213e-03, 2.0244e-03, 4.8605e-04, 8.1752e-05,
7.3425e-06]
self.site = shapes.Site(2.0, 5.0)
self._store_curve_at(self.site, mean_curve)
def setUp(self):
self.job_id = 1234
self.poes_levels = classical_psha.POES_PARAM_NAME
self.quantiles_levels = classical_psha.QUANTILE_PARAM_NAME
self.params = {}
self.params["REFERENCE_VS30_VALUE"] = 500
self.params["INTENSITY_MEASURE_LEVELS"] = "5.0000e-03, 7.0000e-03, \
1.3700e-02, 1.9200e-02, 2.6900e-02, 3.7600e-02, 5.2700e-02, \
7.3800e-02, 9.8000e-02, 1.0300e-01, 1.4500e-01, 2.0300e-01, \
2.8400e-01, 3.9700e-01, 5.5600e-01, 7.7800e-01, 1.0900e+00, \
1.5200e+00, 2.1300e+00"
self.engine = job.Job(self.params, self.job_id)
self.empty_mean_curve = {"site_lon": 2.0,
"site_lat": 5.0, "curve": []}
# deleting server side cached data
kvs.flush()
mean_curve = {"site_lon": 2.0, "site_lat": 5.0,
"curve": classical_psha._reconstruct_curve_list_from(
[9.8728e-01, 9.8266e-01, 9.4957e-01,
9.0326e-01, 8.1956e-01, 6.9192e-01, 5.2866e-01, 3.6143e-01,
2.4231e-01, 2.2452e-01, 1.2831e-01, 7.0352e-02, 3.6060e-02,
1.6579e-02, 6.4213e-03, 2.0244e-03, 4.8605e-04, 8.1752e-05,
7.3425e-06])}
self._store_curve_at(shapes.Site(2.0, 5.0), mean_curve)
def setUp(self):
self.job_id = 1234
self.poes_levels = classical_psha.POES_PARAM_NAME
self.quantiles_levels = classical_psha.QUANTILE_PARAM_NAME
self.params = {}
self.params["REFERENCE_VS30_VALUE"] = 500
self.params["INTENSITY_MEASURE_LEVELS"] = "5.0000e-03, 7.0000e-03, \
1.3700e-02, 1.9200e-02, 2.6900e-02, 3.7600e-02, 5.2700e-02, \
7.3800e-02, 9.8000e-02, 1.0300e-01, 1.4500e-01, 2.0300e-01, \
2.8400e-01, 3.9700e-01, 5.5600e-01, 7.7800e-01, 1.0900e+00, \
1.5200e+00, 2.1300e+00"
self.engine = job.Job(self.params, self.job_id)
self.empty_mean_curve = {"site_lon": 2.0,
"site_lat": 5.0, "curve": []}
# deleting server side cached data
kvs.flush()
mean_curve = {"site_lon": 2.0, "site_lat": 5.0,
"curve": classical_psha._reconstruct_curve_list_from(
[9.8728e-01, 9.8266e-01, 9.4957e-01,
9.0326e-01, 8.1956e-01, 6.9192e-01, 5.2866e-01, 3.6143e-01,
2.4231e-01, 2.2452e-01, 1.2831e-01, 7.0352e-02, 3.6060e-02,
1.6579e-02, 6.4213e-03, 2.0244e-03, 4.8605e-04, 8.1752e-05,
7.3425e-06])}
self._store_curve_at(shapes.Site(2.0, 5.0), mean_curve)
def tearDown(self):
# restoring the default java implementation
det.DeterministicEventBasedMixin.compute_ground_motion_field = \
self.default
flags.FLAGS.include_defaults = True
kvs.flush()
def test_load_assets_for_point(self):
"""
Exercises the function
:py:func:`openquake.risk.job.deterministic.load_assets_for_point`.
"""
kvs.flush()
# Fabricate some test data.
test_assets = [
{'assetValue': 2129.5,
'assetID': '104',
'listDescription': 'fake_description',
'structureCategory': 'S4L_MC',
'lon': 0.11,
'assetDescription': 'LA building',
'vulnerabilityFunctionReference': 'HAZUS_S4L_MC',
'listID': 'LA01',
'assetValueUnit': 'EUR',
'lat': 0.11},
{'assetValue': 2229.5,
'assetID': '105',
'listDescription': 'fake_description',
'structureCategory': 'S4L_MC',
'lon': 0.11,
'assetDescription': 'LA building',
'vulnerabilityFunctionReference': 'HAZUS_S4L_MC',
'listID': 'LA02',
'assetValueUnit': 'EUR',
'lat': 0.12}]
test_site = shapes.Site(0.1, 0.1)
test_point = TEST_REGION.grid.point_at(test_site)
encoder = json.JSONEncoder()
assets_key = kvs.tokens.asset_key(
TEST_JOB_ID, test_point.row, test_point.column)
# Throw the test data into the KVS.
for asset in test_assets:
kvs.get_client().rpush(assets_key, encoder.encode(asset))
# The data should now be in the KVS.
# Now verify that the load_assets_for_point function returns
# the appropriate data.
actual_assets = \
risk_job_det.load_assets_for_point(TEST_JOB_ID, test_point)
kvs.flush()
# They should come out exactly the way they went in.
self.assertEqual(test_assets, actual_assets)
def setUp(self):
self.job_id = 1234
self.expected_mean_curve = numpy.array([9.8542200e-01, 9.8196600e-01,
9.5842000e-01, 9.2639600e-01, 8.6713000e-01, 7.7081800e-01,
6.3448600e-01, 4.7256800e-01, 3.3523400e-01, 3.1255000e-01,
1.7832000e-01, 9.0883400e-02, 4.2189200e-02, 1.7874200e-02,
6.7449200e-03, 2.1658200e-03, 5.3878600e-04, 9.4369400e-05,
8.9830380e-06])
self.empty_curve = {"curve": []}
# deleting server side cached data
kvs.flush()
def setUp(self):
self.job_id = 1234
self.expected_mean_curve = numpy.array([9.8542200e-01, 9.8196600e-01,
9.5842000e-01, 9.2639600e-01, 8.6713000e-01, 7.7081800e-01,
6.3448600e-01, 4.7256800e-01, 3.3523400e-01, 3.1255000e-01,
1.7832000e-01, 9.0883400e-02, 4.2189200e-02, 1.7874200e-02,
6.7449200e-03, 2.1658200e-03, 5.3878600e-04, 9.4369400e-05,
8.9830380e-06])
self.empty_curve = {"curve": []}
# deleting server side cached data
kvs.flush()
def setUp(self):
kvs.flush()
self.job = helpers.job_from_file(SCENARIO_SMOKE_TEST)
self.job.params[NUMBER_OF_CALC_KEY] = "1"
self.job.params["SERIALIZE_RESULTS_TO"] = "xml"
# saving the default java implementation
self.default = det.ScenarioEventBasedMixin.compute_ground_motion_field
self.grid = self.job.region.grid
self.job.to_kvs()
def setUp(self):
self.params = {'CALCULATION_MODE': 'Hazard'}
self.job = self.create_job_with_mixin(self.params,
opensha.ClassicalMixin)
self.job_id = self.job.job_id
self.expected_curve = numpy.array([9.9178000e-01, 9.8892000e-01,
9.6903000e-01, 9.4030000e-01, 8.8405000e-01, 7.8782000e-01,
6.4897250e-01, 4.8284250e-01, 3.4531500e-01, 3.2337000e-01,
1.8880500e-01, 9.5574000e-02, 4.3707250e-02, 1.9643000e-02,
8.1923000e-03, 2.9157000e-03, 7.9955000e-04, 1.5233000e-04,
1.5582000e-05])
# deleting server side cached data
kvs.flush()
def setUp(self):
self.job_id = 1234
self.params = {}
self.quantiles_levels = classical_psha.QUANTILE_PARAM_NAME
self.engine = job.Job(self.params, self.job_id)
self.expected_curve = numpy.array([9.9178000e-01, 9.8892000e-01,
9.6903000e-01, 9.4030000e-01, 8.8405000e-01, 7.8782000e-01,
6.4897250e-01, 4.8284250e-01, 3.4531500e-01, 3.2337000e-01,
1.8880500e-01, 9.5574000e-02, 4.3707250e-02, 1.9643000e-02,
8.1923000e-03, 2.9157000e-03, 7.9955000e-04, 1.5233000e-04,
1.5582000e-05])
# deleting server side cached data
kvs.flush()
def setUp(self):
self.job_id = 1234
self.params = {}
self.quantiles_levels = classical_psha.QUANTILE_PARAM_NAME
self.engine = job.Job(self.params, self.job_id)
self.expected_curve = numpy.array([9.9178000e-01, 9.8892000e-01,
9.6903000e-01, 9.4030000e-01, 8.8405000e-01, 7.8782000e-01,
6.4897250e-01, 4.8284250e-01, 3.4531500e-01, 3.2337000e-01,
1.8880500e-01, 9.5574000e-02, 4.3707250e-02, 1.9643000e-02,
8.1923000e-03, 2.9157000e-03, 7.9955000e-04, 1.5233000e-04,
1.5582000e-05])
# deleting server side cached data
kvs.flush()
def setUp(self):
flags.FLAGS.include_defaults = False
self.engine = job.Job.from_file(DETERMINISTIC_SMOKE_TEST)
self.engine.job_id = 1234
self.engine.params[NUMBER_OF_CALC_KEY] = "1"
# saving the default java implementation
self.default = \
det.DeterministicEventBasedMixin.compute_ground_motion_field
kvs.flush()
self.kvs_client = kvs.get_client(binary=False)
self.grid = self.engine.region.grid
self.engine.to_kvs()
def setUp(self):
flags.FLAGS.include_defaults = False
self.engine = job.Job.from_file(DETERMINISTIC_SMOKE_TEST)
self.engine.job_id = 1234
self.engine.params[NUMBER_OF_CALC_KEY] = "1"
# saving the default java implementation
self.default = \
det.DeterministicEventBasedMixin.compute_ground_motion_field
kvs.flush()
self.kvs_client = kvs.get_client(binary=False)
self.grid = self.engine.region.grid
self.engine.to_kvs()
def setUp(self):
kvs.flush()
flags.FLAGS.include_defaults = False
self.job = helpers.job_from_file(DETERMINISTIC_SMOKE_TEST)
self.job.params[NUMBER_OF_CALC_KEY] = "1"
self.job.params['SERIALIZE_RESULTS_TO'] = 'xml'
# saving the default java implementation
self.default = \
det.DeterministicEventBasedMixin.compute_ground_motion_field
self.grid = self.job.region.grid
self.job.to_kvs()
def test_load_gmvs_for_point(self):
"""
Exercises the function
:py:func:`openquake.risk.job.deterministic.load_gmvs_for_point`.
"""
# clear the kvs before running the test
kvs.flush()
# values to place in the kvs
test_gmvs = [
{'site_lon': 0.1, 'site_lat': 0.2, 'mag': 0.117},
{'site_lon': 0.1, 'site_lat': 0.2, 'mag': 0.167},
{'site_lon': 0.1, 'site_lat': 0.2, 'mag': 0.542}]
expected_gmvs = [0.117, 0.167, 0.542]
test_point = TEST_REGION.grid.point_at(shapes.Site(0.1, 0.2))
# we expect this point to be at row 1, column 0
self.assertEqual(1, test_point.row)
self.assertEqual(0, test_point.column)
gmvs_key = kvs.tokens.ground_motion_values_key(TEST_JOB_ID, test_point)
# place the test values in kvs
for gmv in test_gmvs:
json_gmv = json.JSONEncoder().encode(gmv)
kvs.get_client().rpush(gmvs_key, json_gmv)
actual_gmvs = risk_job_det.load_gmvs_for_point(TEST_JOB_ID, test_point)
# clear the kvs again before the test concludes
kvs.flush()
self.assertEqual(expected_gmvs, actual_gmvs)
def setUp(self):
self.expected_results = _load_expected_results()
kvs.flush()
self.engine = job.Job.from_file(
helpers.smoketest_file("HazardMapTest/config.gem"))
def setUp(self):
self.parser = vulnerability.VulnerabilityModelFile(
os.path.join(helpers.SCHEMA_DIR, TEST_FILE))
# delete server side cached data
kvs.flush()
def tearDown(self):
# restoring the default java implementation
det.ScenarioEventBasedMixin.compute_ground_motion_field = self.default
kvs.flush()
def setUp(self):
self.parser = vulnerability.VulnerabilityModelFile(
os.path.join(test.SCHEMA_DIR, TEST_FILE))
# delete server side cached data
kvs.flush()
def setUp(self):
self.expected_results = _load_expected_results()
kvs.flush()
self.engine = job.Job.from_file(
helpers.smoketest_file("HazardMapTest/config.gem"))
