Source code for openquake.calculators.scenario

# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2014-2018 GEM Foundation
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# OpenQuake is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake. If not, see <>.
import collections
import logging
import numpy

from openquake.hazardlib.calc.gmf import GmfComputer
from openquake.hazardlib.gsim.base import ContextMaker
from openquake.commonlib import readinput, source, calc
from openquake.hazardlib.source.rupture import EBRupture
from openquake.calculators import base

[docs]@base.calculators.add('scenario') class ScenarioCalculator(base.HazardCalculator): """ Scenario hazard calculator """ is_stochastic = True
[docs] def pre_execute(self): """ Read the site collection and initialize GmfComputer and seeds """ oq = self.oqparam cinfo = source.CompositionInfo.fake(readinput.get_gsim_lt(oq)) self.datastore['csm_info'] = cinfo if 'rupture_model' not in oq.inputs: logging.warn('There is no rupture_model, the calculator will just ' 'import data without performing any calculation') super().pre_execute() return self.rup = readinput.get_rupture(oq) self.gsims = readinput.get_gsims(oq) self.cmaker = ContextMaker(self.gsims, oq.maximum_distance, {'filter_distance': oq.filter_distance}) super().pre_execute() self.datastore['oqparam'] = oq self.rlzs_assoc = cinfo.get_rlzs_assoc() E = oq.number_of_ground_motion_fields events = numpy.zeros(E, readinput.stored_event_dt) events['eid'] = numpy.arange(E) ebr = EBRupture(self.rup, self.sitecol.sids, events) self.datastore['events'] = rupser = calc.RuptureSerializer(self.datastore)[ebr]) rupser.close() = GmfComputer( ebr, self.sitecol, oq.imtls, self.cmaker, oq.truncation_level, oq.correl_model)
[docs] def init(self): pass
[docs] def execute(self): """ Compute the GMFs and return a dictionary gsim -> array(N, E, I) """ self.gmfa = collections.OrderedDict() if 'rupture_model' not in self.oqparam.inputs: return self.gmfa with self.monitor('computing gmfs'): E = self.oqparam.number_of_ground_motion_fields for gsim in self.gsims: gmfa =, E) # shape (I, N, E) self.gmfa[gsim] = gmfa.transpose(1, 2, 0) # shape (N, E, I) return self.gmfa
[docs] def post_execute(self, dummy): if self.gmfa: with self.monitor('saving gmfs', autoflush=True): base.save_gmf_data( self.datastore, self.sitecol, numpy.array(list(self.gmfa.values())))