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 = get_ruptures(gettemp(text))
aac(rups['n_occ'], [1, 1, 1, 1])
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 = 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 _get_ebruptures(fname, conv=None, ses_seed=None):
"""
:param fname: path to a rupture file (XML or CSV)
:param conv: RuptureConverter instanc, used for XML ruptures
:param ses_seed: used for XML ruptures
:returns: a list of one or more EBRuptures
"""
if fname.endswith('.xml'):
[rup_node] = nrml.read(fname)
rup = conv.convert_node(rup_node)
rup.tectonic_region_type = '*' # no TRT for scenario ruptures
rup.rup_id = ses_seed
ebrs = [EBRupture(rup, 'NA', 0, id=rup.rup_id, scenario=True)]
return ebrs
assert fname.endswith('.csv'), fname
aw = get_ruptures(fname)
ebrs = []
for i, rec in enumerate(aw.array):
rupture = _get_rupture(rec, aw.geoms[i], aw.trts[rec['trt_smr']])
ebr = EBRupture(rupture, rec['source_id'], rec['trt_smr'],
rec['n_occ'], rec['id'], rec['e0'])
ebrs.append(ebr)
return ebrs
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'):
# check the number of branchsets
bsets = len(gsim_lt._ltnode)
if bsets > 1:
raise InvalidFile(
'%s for a scenario calculation must contain a single '
'branchset, found %d!' % (oq.inputs['job_ini'], bsets))
[(trt, rlzs_by_gsim)] = gsim_lt.get_rlzs_by_gsim_trt().items()
self.cmaker = ContextMaker(
trt, rlzs_by_gsim, {
'maximum_distance': oq.maximum_distance(trt),
'minimum_distance': oq.minimum_distance,
'truncation_level': oq.truncation_level,
'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),
'NA',
0,
G,
e0=i * G,
scenario=True) for i in range(ngmfs)
]
else: # keep a single rupture with a big occupation number
ebrs = [
EBRupture(rup,
'NA',
0,
G * ngmfs,
rup.rup_id,
scenario=True)
]
srcfilter = SourceFilter(self.sitecol, oq.maximum_distance(trt))
aw = get_rup_array(ebrs, 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 = get_ruptures(oq.inputs['rupture_model'])
if len(gsim_lt.values) == 1: # fix for scenario_damage/case_12
aw['trt_smr'] = 0 # a single TRT
if oq.calculation_mode.startswith('scenario'):
# rescale n_occ by ngmfs and nrlzs
aw['n_occ'] *= ngmfs * gsim_lt.get_num_paths()
else:
raise InvalidFile("Something wrong in %s" % oq.inputs['job_ini'])
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))
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)
