def test_case_7a(self):
# case with preimported exposure
self.run_calc(case_7a.__file__, 'job_h.ini')
self.run_calc(case_7a.__file__,
'job_r.ini',
hazard_calculation_id=str(self.calc.datastore.calc_id))
[fname] = export(('risk_by_event', 'csv'), self.calc.datastore)
self.assertEqualFiles('expected/agg_losses.csv', fname, delta=1E-4)
rup_ids = set(read_csv(fname, {None: '<S50'})['rup_id'])
[fname] = export(('agg_curves-rlzs', 'csv'), self.calc.datastore)
self.assertEqualFiles('expected/agg_curves.csv', fname, delta=1E-4)
# check that the IDs in risk_by_event.csv exist in ruptures.csv
# this is using extract/rupture_info internally
[fname] = export(('ruptures', 'csv'), self.calc.datastore)
rupids = set(read_csv(fname, {None: '<S50'})['rup_id'])
self.assertTrue(
rup_ids <= rupids, 'There are non-existing rupture IDs'
' in the event loss table!')
# check that the exported ruptures can be re-imported
text = extract(self.calc.datastore, 'ruptures').array
rups = readinput.get_ruptures(gettemp(text))
aac(rups['n_occ'], [1, 1, 1, 1])
def _read_scenario_ruptures(self):
oq = self.oqparam
gsim_lt = readinput.get_gsim_lt(self.oqparam)
G = gsim_lt.get_num_paths()
if oq.calculation_mode.startswith('scenario'):
ngmfs = oq.number_of_ground_motion_fields
if oq.inputs['rupture_model'].endswith('.xml'):
self.gsims = [gsim_rlz.value[0] for gsim_rlz in gsim_lt]
self.cmaker = ContextMaker('*', self.gsims, {
'maximum_distance': oq.maximum_distance,
'imtls': oq.imtls
})
rup = readinput.get_rupture(oq)
if self.N > oq.max_sites_disagg: # many sites, split rupture
ebrs = [
EBRupture(copyobj(rup, rup_id=rup.rup_id + i),
0,
0,
G,
e0=i * G) for i in range(ngmfs)
]
else: # keep a single rupture with a big occupation number
ebrs = [EBRupture(rup, 0, 0, G * ngmfs, rup.rup_id)]
aw = get_rup_array(ebrs, self.srcfilter)
if len(aw) == 0:
raise RuntimeError(
'The rupture is too far from the sites! Please check the '
'maximum_distance and the position of the rupture')
elif oq.inputs['rupture_model'].endswith('.csv'):
aw = readinput.get_ruptures(oq.inputs['rupture_model'])
num_gsims = numpy.array(
[len(gsim_lt.values[trt]) for trt in gsim_lt.values], U32)
if oq.calculation_mode.startswith('scenario'):
# rescale n_occ
aw['n_occ'] *= ngmfs * num_gsims[aw['trt_smr']]
rup_array = aw.array
hdf5.extend(self.datastore['rupgeoms'], aw.geom)
if len(rup_array) == 0:
raise RuntimeError(
'There are no sites within the maximum_distance'
' of %s km from the rupture' %
oq.maximum_distance(rup.tectonic_region_type, rup.mag))
# check the number of branchsets
branchsets = len(gsim_lt._ltnode)
if len(rup_array) == 1 and branchsets > 1:
raise InvalidFile(
'%s for a scenario calculation must contain a single '
'branchset, found %d!' % (oq.inputs['job_ini'], branchsets))
fake = logictree.FullLogicTree.fake(gsim_lt)
self.realizations = fake.get_realizations()
self.datastore['full_lt'] = fake
self.store_rlz_info({}) # store weights
self.save_params()
imp = calc.RuptureImporter(self.datastore)
imp.import_rups_events(rup_array, get_rupture_getters)
def _read_scenario_ruptures(self):
oq = self.oqparam
gsim_lt = readinput.get_gsim_lt(self.oqparam)
G = gsim_lt.get_num_paths()
if oq.inputs['rupture_model'].endswith('.xml'):
ngmfs = oq.number_of_ground_motion_fields
self.gsims = readinput.get_gsims(oq)
self.cmaker = ContextMaker('*', self.gsims, {
'maximum_distance': oq.maximum_distance,
'imtls': oq.imtls
})
rup = readinput.get_rupture(oq)
mesh = surface_to_array(rup.surface).transpose(1, 2, 0).flatten()
if self.N > oq.max_sites_disagg: # many sites, split rupture
ebrs = [
EBRupture(copyobj(rup, rup_id=rup.rup_id + i),
0,
0,
G,
e0=i * G) for i in range(ngmfs)
]
meshes = numpy.array([mesh] * ngmfs, object)
else: # keep a single rupture with a big occupation number
ebrs = [EBRupture(rup, 0, 0, G * ngmfs, rup.rup_id)]
meshes = numpy.array([mesh] * ngmfs, object)
rup_array = get_rup_array(ebrs, self.srcfilter).array
hdf5.extend(self.datastore['rupgeoms'], meshes)
elif oq.inputs['rupture_model'].endswith('.csv'):
aw = readinput.get_ruptures(oq.inputs['rupture_model'])
aw.array['n_occ'] = G
rup_array = aw.array
hdf5.extend(self.datastore['rupgeoms'], aw.geom)
if len(rup_array) == 0:
raise RuntimeError(
'There are no sites within the maximum_distance'
' of %s km from the rupture' %
oq.maximum_distance(rup.tectonic_region_type, rup.mag))
# check the number of branchsets
branchsets = len(gsim_lt._ltnode)
if len(rup_array) == 1 and branchsets > 1:
raise InvalidFile(
'%s for a scenario calculation must contain a single '
'branchset, found %d!' % (oq.inputs['job_ini'], branchsets))
fake = logictree.FullLogicTree.fake(gsim_lt)
self.realizations = fake.get_realizations()
self.datastore['full_lt'] = fake
self.store_rlz_info({}) # store weights
self.save_params()
calc.RuptureImporter(self.datastore).import_rups(rup_array)
def test_case_29(self): # non parametric source with 2 KiteSurfaces
# first test that the exported ruptures can be re-imported
self.run_calc(case_29.__file__, 'job.ini',
calculation_mode='event_based',
ses_per_logic_tree_path='10')
csv = extract(self.calc.datastore, 'ruptures').array
rups = readinput.get_ruptures(general.gettemp(csv))
self.assertEqual(len(rups), 1)
# check what QGIS will be seeing
aw = extract(self.calc.datastore, 'rupture_info')
poly = gzip.decompress(aw.boundaries).decode('ascii')
self.assertEqual(poly, '''POLYGON((0.17961 0.00000, 0.13492 0.00000, 0.08980 0.00000, 0.04512 0.00000, 0.00000 0.00000, 0.00000 0.04054, 0.00000 0.08109, 0.00000 0.12163, 0.00000 0.16217, 0.00000 0.20272, 0.00000 0.24326, 0.00000 0.28381, 0.04512 0.28381, 0.08980 0.28381, 0.13492 0.28381, 0.17961 0.28381, 0.17961 0.24326, 0.17961 0.20272, 0.17961 0.16217, 0.17961 0.12163, 0.17961 0.08109, 0.17961 0.04054, 0.17961 0.00000, 0.17961 0.10000, 0.13492 0.10000, 0.08980 0.10000, 0.04512 0.10000, 0.00000 0.10000, 0.00000 0.14054, 0.00000 0.18109, 0.00000 0.22163, 0.00000 0.26217, 0.00000 0.30272, 0.00000 0.34326, 0.00000 0.38381, 0.04512 0.38381, 0.08980 0.38381, 0.13492 0.38381, 0.17961 0.38381, 0.17961 0.34326, 0.17961 0.30272, 0.17961 0.26217, 0.17961 0.22163, 0.17961 0.18109, 0.17961 0.14054, 0.17961 0.10000))''')
# then perform a classical calculation
self.assert_curves_ok(['hazard_curve-PGA.csv'], case_29.__file__)
def _read_scenario_ruptures(self):
oq = self.oqparam
if oq.inputs['rupture_model'].endswith(('.xml', '.toml', '.txt')):
self.gsims = readinput.get_gsims(oq)
self.cmaker = ContextMaker(
'*', self.gsims,
{'maximum_distance': oq.maximum_distance,
'filter_distance': oq.filter_distance})
n_occ = numpy.array([oq.number_of_ground_motion_fields])
rup = readinput.get_rupture(oq)
ebr = EBRupture(rup, 0, 0, n_occ)
ebr.e0 = 0
rup_array = get_rup_array([ebr], self.srcfilter).array
mesh = surface_to_array(rup.surface).transpose(1, 2, 0).flatten()
hdf5.extend(self.datastore['rupgeoms'],
numpy.array([mesh], object))
elif oq.inputs['rupture_model'].endswith('.csv'):
aw = readinput.get_ruptures(oq.inputs['rupture_model'])
rup_array = aw.array
hdf5.extend(self.datastore['rupgeoms'], aw.geom)
if len(rup_array) == 0:
raise RuntimeError(
'There are no sites within the maximum_distance'
' of %s km from the rupture' % oq.maximum_distance(
rup.tectonic_region_type, rup.mag))
gsim_lt = readinput.get_gsim_lt(self.oqparam)
# check the number of branchsets
branchsets = len(gsim_lt._ltnode)
if len(rup_array) == 1 and branchsets > 1:
raise InvalidFile(
'%s for a scenario calculation must contain a single '
'branchset, found %d!' % (oq.inputs['job_ini'], branchsets))
fake = logictree.FullLogicTree.fake(gsim_lt)
self.realizations = fake.get_realizations()
self.datastore['full_lt'] = fake
self.store_rlz_info({}) # store weights
self.save_params()
calc.RuptureImporter(self.datastore).import_rups(rup_array)
