def pre_execute(self):
"""
Read the curves and build the riskinputs.
"""
super(ClassicalDamageCalculator, self).pre_execute()
logging.info('Reading hazard curves from CSV')
sites, hcurves_by_imt = readinput.get_sitecol_hcurves(self.oqparam)
with self.monitor('assoc_assets_sites'):
sitecol, assets_by_site = self.assoc_assets_sites(sites)
num_assets = sum(len(assets) for assets in assets_by_site)
num_sites = len(sitecol)
logging.info('Associated %d assets to %d sites', num_assets, num_sites)
logging.info('Preparing the risk input')
self.riskinputs = self.build_riskinputs({
(0, 'FromFile'): hcurves_by_imt
})
fake_rlz = logictree.Realization(value=('FromFile', ),
weight=1,
lt_path=('', ),
ordinal=0,
lt_uid=('*', ))
self.rlzs_assoc = logictree.RlzsAssoc([fake_rlz])
def pre_execute(self):
"""
Associate the assets to the sites and build the riskinputs.
"""
super(ClassicalRiskCalculator, self).pre_execute()
sites, hcurves_by_imt = readinput.get_sitecol_hcurves(self.oqparam)
logging.info('Associating assets -> sites')
with self.monitor('assoc_assets_sites'):
sitecol, assets_by_site = self.assoc_assets_sites(sites)
num_assets = sum(len(assets) for assets in assets_by_site)
num_sites = len(sitecol)
logging.info('Associated %d assets to %d sites', num_assets, num_sites)
hcurves_by_imt = self.filter_hcurves(hcurves_by_imt, sitecol.indices)
self.riskinputs = self.build_riskinputs(hcurves_by_imt)
def pre_execute(self):
"""
Associate the assets to the sites and build the riskinputs.
"""
super(ClassicalRiskCalculator, self).pre_execute()
hazard_from_csv = 'hazard_curves' in self.oqparam.inputs
if hazard_from_csv:
self.sitecol, hcurves_by_imt = readinput.get_sitecol_hcurves(
self.oqparam)
self.sitecol, self.assets_by_site = \
self.assoc_assets_sites(self.sitecol)
logging.info('Preparing the risk input')
self.riskinputs = self.build_riskinputs(
self.datastore['curves_by_trt_gsim'])
def pre_execute(self):
"""
Associate the assets to the sites and build the riskinputs.
"""
super(ClassicalRiskCalculator, self).pre_execute()
hazard_from_csv = 'hazard_curves' in self.oqparam.inputs
if hazard_from_csv:
self.sitecol, hcurves_by_imt = readinput.get_sitecol_hcurves(
self.oqparam)
self.sitecol, self.assets_by_site = \
self.assoc_assets_sites(self.sitecol)
logging.info('Preparing the risk input')
curves_by_trt_gsim = {}
for dset in self.datastore['curves_by_sm'].values():
for key, curves in dset.items():
trt_id, gsim = key.split('-')
curves_by_trt_gsim[int(trt_id), gsim] = curves.value
self.riskinputs = self.build_riskinputs(curves_by_trt_gsim)
def pre_execute(self):
"""
Associate the assets to the sites and build the riskinputs.
"""
super(ClassicalRiskCalculator, self).pre_execute()
hazard_from_csv = 'hazard_curves' in self.oqparam.inputs
if hazard_from_csv:
self.sitecol, hcurves_by_imt = readinput.get_sitecol_hcurves(
self.oqparam)
self.sitecol, self.assets_by_site = \
self.assoc_assets_sites(self.sitecol)
logging.info('Preparing the risk input')
curves_by_trt_gsim = {}
for dset in self.datastore['curves_by_sm'].values():
for key, curves in dset.items():
trt_id, gsim = key.split('-')
curves_by_trt_gsim[int(trt_id), gsim] = curves.value
self.riskinputs = self.build_riskinputs(curves_by_trt_gsim)
def pre_execute(self):
"""
Read the curves and build the riskinputs.
"""
super(ClassicalDamageCalculator, self).pre_execute()
logging.info('Reading hazard curves from CSV')
sites, hcurves_by_imt = readinput.get_sitecol_hcurves(self.oqparam)
with self.monitor('assoc_assets_sites'):
sitecol, assets_by_site = self.assoc_assets_sites(sites)
num_assets = sum(len(assets) for assets in assets_by_site)
num_sites = len(sitecol)
logging.info('Associated %d assets to %d sites', num_assets, num_sites)
logging.info('Preparing the risk input')
self.riskinputs = self.build_riskinputs(
{(0, 'FromFile'): hcurves_by_imt})
fake_rlz = logictree.Realization(
value=('FromFile',), weight=1, lt_path=('',),
ordinal=0, lt_uid=('*',))
self.rlzs_assoc = logictree.RlzsAssoc([fake_rlz])
