def classical(sources, src_filter, gsims, monitor):
"""
:param sources:
a non-empty sequence of sources of homogeneous tectonic region type
:param src_filter:
source filter
:param gsims:
a list of GSIMs for the current tectonic region type
:param monitor:
a monitor instance
:returns:
an AccumDict rlz -> curves
"""
truncation_level = monitor.truncation_level
imtls = monitor.imtls
src_group_id = sources[0].src_group_id
# sanity check: the src_group must be the same for all sources
for src in sources[1:]:
assert src.src_group_id == src_group_id
if monitor.disagg:
sm_id = monitor.sm_id
bbs = [BoundingBox(sm_id, sid) for sid in src_filter.sitecol.sids]
else:
bbs = []
pmap = pmap_from_grp(
sources, src_filter, imtls, gsims, truncation_level,
bbs=bbs, monitor=monitor)
pmap.bbs = bbs
pmap.grp_id = src_group_id
return pmap
def ucerf_classical_hazard_by_branch(branchnames, ucerf_source, src_group_id,
src_filter, gsims, monitor):
"""
:param branchnames:
a list of branch names
:param ucerf_source:
a source-like object for the UCERF model
:param src_group_id:
an ordinal number for the source
:param source filter:
a filter returning the sites affected by the source
:param gsims:
a list of GSIMs
:param monitor:
a monitor instance
:returns:
an AccumDict rlz -> curves
"""
truncation_level = monitor.oqparam.truncation_level
imtls = monitor.oqparam.imtls
trt = ucerf_source.tectonic_region_type
max_dist = monitor.oqparam.maximum_distance[trt]
dic = AccumDict()
dic.bbs = []
dic.calc_times = []
for branchname in branchnames:
# Two step process here - the first generates the hazard curves from
# the rupture sets
monitor.eff_ruptures = 0
# Apply the initial rupture to site filtering
rupset_idx = ucerf_source.get_rupture_indices(branchname)
rupset_idx, s_sites = \
ucerf_source.filter_sites_by_distance_from_rupture_set(
rupset_idx, src_filter.sitecol, max_dist)
if len(s_sites):
dic[src_group_id] = hazard_curves_per_rupture_subset(
rupset_idx, ucerf_source, src_filter, imtls, gsims,
truncation_level, bbs=dic.bbs, monitor=monitor)
else:
dic[src_group_id] = ProbabilityMap(len(imtls.array), len(gsims))
dic.calc_times += monitor.calc_times # added by pmap_from_grp
dic.eff_ruptures = {src_group_id: monitor.eff_ruptures} # idem
logging.info('Branch %s', branchname)
# Get the background point sources
background_sids = ucerf_source.get_background_sids(
src_filter.sitecol, max_dist)
bckgnd_sources = ucerf_source.get_background_sources(background_sids)
if bckgnd_sources:
pmap = pmap_from_grp(
bckgnd_sources, src_filter, imtls, gsims, truncation_level,
bbs=dic.bbs, monitor=monitor)
dic[src_group_id] |= pmap
dic.eff_ruptures[src_group_id] += monitor.eff_ruptures
dic.calc_times += monitor.calc_times
return dic
def test_mutually_exclusive_ruptures(self):
# Test the calculation of hazard curves using mutually exclusive
# ruptures for a single source
gsim_by_trt = [SadighEtAl1997()]
rupture = _create_rupture(10., 6.)
data = [(rupture, PMF([(0.7, 0), (0.3, 1)])),
(rupture, PMF([(0.6, 0), (0.4, 1)]))]
src = NonParametricSeismicSource('0', 'test', TRT.ACTIVE_SHALLOW_CRUST,
data)
group = SourceGroup([src], 'test', 'indep', 'mutex')
crv = pmap_from_grp(group, self.sites, self.imtls,
gsim_by_trt, truncation_level=None)[0]
npt.assert_almost_equal(numpy.array([0.35000, 0.32497, 0.10398]),
crv.array[:, 0], decimal=4)
def test_mutually_exclusive_ruptures(self):
# Test the calculation of hazard curves using mutually exclusive
# ruptures for a single source
gsim_by_trt = [SadighEtAl1997()]
rupture = _create_rupture(10., 6.)
data = [(rupture, PMF([(0.7, 0), (0.3, 1)])),
(rupture, PMF([(0.6, 0), (0.4, 1)]))]
src = NonParametricSeismicSource('0', 'test', TRT.ACTIVE_SHALLOW_CRUST,
data)
group = SourceGroup(
src.tectonic_region_type, [src], 'test', 'indep', 'mutex')
param = dict(imtls=self.imtls)
crv = pmap_from_grp(group, self.sites, gsim_by_trt, param)[0]
npt.assert_almost_equal(numpy.array([0.35000, 0.32497, 0.10398]),
crv.array[:, 0], decimal=4)
def classical(sources, src_filter, gsims, param, monitor):
"""
:param sources:
a list of independent sources or a SourceGroup with mutex sources
:param src_filter:
a SourceFilter instance
:param gsims:
a list of GSIMs
:param param:
a dictionary with parameters imtls and truncation_level
:param monitor:
a Monitor instance
:returns: a dictionary grp_id -> ProbabilityMap
"""
if getattr(sources, 'src_interdep', None) == 'mutex':
return pmap_from_grp(sources, src_filter, gsims, param, monitor)
else:
return pmap_from_trt(sources, src_filter, gsims, param, monitor)
def classical(sources, sitecol, gsims, monitor):
"""
:param sources:
a non-empty sequence of sources of homogeneous tectonic region type
:param sitecol:
a SiteCollection instance
:param gsims:
a list of GSIMs for the current tectonic region type
:param monitor:
a monitor instance
:returns:
an AccumDict rlz -> curves
"""
truncation_level = monitor.truncation_level
imtls = monitor.imtls
src_group_id = sources[0].src_group_id
# sanity check: the src_group must be the same for all sources
for src in sources[1:]:
assert src.src_group_id == src_group_id
trt = sources[0].tectonic_region_type
max_dist = monitor.maximum_distance[trt]
dic = AccumDict()
if monitor.poes_disagg:
sm_id = monitor.sm_id
dic.bbs = [BoundingBox(sm_id, sid) for sid in sitecol.sids]
else:
dic.bbs = []
# NB: the source_site_filter below is ESSENTIAL for performance inside
# pmap_from_grp, since it reduces the full site collection
# to a filtered one *before* doing the rupture filtering
dic[src_group_id] = pmap_from_grp(
sources, sitecol, imtls, gsims, truncation_level,
maximum_distance=max_dist, bbs=dic.bbs, monitor=monitor)
dic.calc_times = monitor.calc_times # added by pmap_from_grp
dic.eff_ruptures = {src_group_id: monitor.eff_ruptures} # idem
return dic
def classical(sources, src_filter, gsims, param, monitor):
"""
:param sources:
a non-empty sequence of sources of homogeneous tectonic region type
:param src_filter:
source filter
:param gsims:
a list of GSIMs for the current tectonic region type
:param param:
a dictionary of parameters
:param monitor:
a monitor instance
:returns:
an AccumDict rlz -> curves
"""
truncation_level = monitor.truncation_level
imtls = monitor.imtls
src_group_id = sources[0].src_group_id
# sanity check: the src_group must be the same for all sources
for src in sources[1:]:
assert src.src_group_id == src_group_id
if monitor.disagg:
sm_id = monitor.sm_id
bbs = [BoundingBox(sm_id, sid) for sid in src_filter.sitecol.sids]
else:
bbs = []
pmap = pmap_from_grp(sources,
src_filter,
imtls,
gsims,
truncation_level,
bbs=bbs,
monitor=monitor)
pmap.bbs = bbs
pmap.grp_id = src_group_id
return pmap