def pre_execute(self):
"""
Compute the GMFs, build the epsilons, the riskinputs, and a dictionary
with the unit of measure, used in the export phase.
"""
if 'gmfs' in self.oqparam.inputs:
self.pre_calculator = None
base.RiskCalculator.pre_execute(self)
logging.info('Building the epsilons')
eps_dict = self.make_eps_dict(
self.oqparam.number_of_ground_motion_fields)
self.epsilon_matrix = numpy.array(
[eps_dict[a['asset_ref']] for a in self.assetcol])
self.riskinputs = self.build_riskinputs(base.get_gmfs(self), eps_dict)
def pre_execute(self):
"""
Compute the GMFs, build the epsilons, the riskinputs, and a dictionary
with the unit of measure, used in the export phase.
"""
if 'gmfs' in self.oqparam.inputs:
self.pre_calculator = None
base.RiskCalculator.pre_execute(self)
logging.info('Building the epsilons')
eps_dict = self.make_eps_dict(
self.oqparam.number_of_ground_motion_fields)
self.epsilon_matrix = numpy.array(
[eps_dict[a['asset_ref']] for a in self.assetcol])
self.riskinputs = self.build_riskinputs(base.get_gmfs(self), eps_dict)
def pre_execute(self):
if 'gmfs' in self.oqparam.inputs:
self.pre_calculator = None
base.RiskCalculator.pre_execute(self)
self.riskinputs = self.build_riskinputs(base.get_gmfs(self))
def pre_execute(self):
if 'gmfs' in self.oqparam.inputs:
self.pre_calculator = None
base.RiskCalculator.pre_execute(self)
self.riskinputs = self.build_riskinputs(base.get_gmfs(self))