def test_magnitude_bins(self):
""" Testing build disaggregation matrix """
fname = os.path.join(DATA_PATH, 'data', 'ssm.xml')
converter = sourceconverter.SourceConverter(50., 1., 10, 0.1, 10)
groups = to_python(fname, converter)
sources = []
for g in groups:
sources += g.sources
site = Site(Point(172.63, -43.53),
vs30=250,
vs30measured=False,
z1pt0=330)
imt = SA(3.0)
iml = 0.25612220
gsim_by_trt = {TRT.ACTIVE_SHALLOW_CRUST: Bradley2013()}
truncation_level = 3.0
n_epsilons = 1
mag_bin_width = 0.1
dist_bin_width = 100.
coord_bin_width = 100.
# Compute the disaggregation matrix
edges, mtx = disagg.disaggregation(sources, site, imt, iml,
gsim_by_trt, truncation_level,
n_epsilons, mag_bin_width,
dist_bin_width, coord_bin_width)
tm = disagg.mag_pmf(mtx[:, :, :, :, :, 0])
numpy.testing.assert_array_less(numpy.zeros_like(tm[2:]), tm[2:])
def test(self):
# a test sensitive to gsim.minimum_distance
bin_edges, matrix = disagg.disaggregation(self.sources,
self.site,
self.imt,
self.iml,
self.gsims,
self.truncation_level,
n_epsilons=3,
mag_bin_width=3,
dist_bin_width=4,
coord_bin_width=2.4)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
aaae = numpy.testing.assert_array_almost_equal
aaae(mag_bins, [3, 6, 9])
aaae(dist_bins, [
4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68,
72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112
])
aaae(lon_bins, [-0.904195, 0.1, 1.104195])
aaae(lat_bins, [-0.904194, 0.1, 1.104194])
aaae(eps_bins, [-1, -0.3333333, 0.3333333, 1])
self.assertEqual(trt_bins, [self.trt])
aaae(matrix.shape, (2, 27, 2, 2, 3, 1))
aaae(matrix.sum(), 6.14179818e-11)
def test(self):
self.gsim.truncation_level = self.truncation_level = 1
bin_edges, matrix = disagg.disaggregation(
self.sources, self.site, self.imt, self.iml, self.gsims,
self.truncation_level, n_epsilons=3,
mag_bin_width=3, dist_bin_width=4, coord_bin_width=2.4
)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
aaae = numpy.testing.assert_array_almost_equal
aaae(mag_bins, [3, 6, 9])
aaae(dist_bins, [0, 4, 8, 12, 16])
aaae(lon_bins, [9.6, 12., 14.4, 16.8, 19.2, 21.6, 24.])
aaae(lat_bins, [43.2, 45.6, 48.])
aaae(eps_bins, [-1, -0.3333333, 0.3333333, 1])
self.assertEqual(trt_bins, ['trt1', 'trt2'])
for idx, value in [((0, 2, 4, 0, 0, 0), 0.0429088739427),
((0, 2, 4, 0, 1, 0), 0.0915231841771),
((0, 2, 4, 0, 2, 0), 0.0539109573863),
((0, 2, 5, 0, 0, 0), 0.0524944739774),
((0, 2, 5, 0, 1, 0), 0.0831147185105),
((0, 2, 5, 0, 2, 0), 0.0553469961235),
((0, 3, 5, 0, 1, 0), 0.0198247319211),
((0, 3, 5, 0, 2, 0), 0.00040039738616),
((1, 1, 0, 0, 1, 1), 0.00407387860215),
((1, 1, 0, 0, 2, 1), 0.00163154735795),
((1, 1, 0, 1, 0, 1), 0.00304128663811),
((1, 1, 0, 1, 1, 1), 0.0151142198204),
((1, 1, 0, 1, 2, 1), 0.00304128663811)]:
self.assertAlmostEqual(matrix[idx], value)
matrix[idx] = 0
self.assertEqual(matrix.sum(), 0)
def test_magnitude_bins(self):
""" Testing build disaggregation matrix """
fname = os.path.join(DATA_PATH, 'data', 'ssm.xml')
converter = sourceconverter.SourceConverter(50., 1., 10, 0.1, 10)
groups = to_python(fname, converter)
sources = []
for g in groups:
sources += g.sources
site = Site(Point(172.63, -43.53), vs30=250, vs30measured=False,
z1pt0=330)
imt = SA(3.0)
iml = 0.25612220
gsim_by_trt = {TRT.ACTIVE_SHALLOW_CRUST: Bradley2013()}
truncation_level = 3.0
n_epsilons = 1
mag_bin_width = 0.1
dist_bin_width = 100.
coord_bin_width = 100.
# Compute the disaggregation matrix
edges, mtx = disagg.disaggregation(sources, site, imt, iml,
gsim_by_trt, truncation_level,
n_epsilons, mag_bin_width,
dist_bin_width, coord_bin_width)
tm = disagg.mag_pmf(mtx[:, :, :, :, :, 0])
numpy.testing.assert_array_less(numpy.zeros_like(tm[2:]), tm[2:])
def test_no_contributions_from_ruptures(self):
# Test that the `disaggregation` function returns `None, None` if no
# ruptures contribute to the hazard level.
array = numpy.array
float64 = numpy.float64
int64 = numpy.int64
# This is the result we get if the sources produce no ruptures:
fake_bins_data = (
array([], dtype=float64),
array([], dtype=float64),
array([], dtype=float64),
array([], dtype=float64),
array([], dtype=float64),
array([], dtype=int64),
[],
)
with mock.patch("openquake.hazardlib.calc.disagg._collect_bins_data") as cbd:
with warnings.catch_warnings(record=True) as w:
cbd.return_value = fake_bins_data
self.gsim.truncation_level = self.truncation_level = 1
bin_edges, matrix = disagg.disaggregation(
self.sources,
self.site,
self.imt,
self.iml,
self.gsims,
self.tom,
self.truncation_level,
n_epsilons=3,
mag_bin_width=3,
dist_bin_width=4,
coord_bin_width=2.4,
)
# We expect to get back 2 `None` values:
self.assertIsNone(bin_edges)
self.assertIsNone(matrix)
# Also check for the warning that should be raised:
expected_warning_msg = (
"No ruptures have contributed to the hazard at site "
"<Location=<Latitude=0.000000, Longitude=0.000000, "
"Depth=0.0000>, Vs30=2.0000, Vs30Measured=False, "
"Depth1.0km=4.0000, Depth2.5km=5.0000>"
)
self.assertEqual(1, len(w))
[warning] = list(w)
self.assertEqual(expected_warning_msg, warning.message.message)
def test_cross_idl(self):
# test disaggregation with source generating ruptures crossing
# internation date line
ruptures_and_poes = [
([0, 0.2, 0.3], self.FakeRupture(5.5, 0.04, 55, -179.5, 45.5)),
([0.4, 0.5, 0.6], self.FakeRupture(7.5, 0.03, 75, 179.5, 46.5)),
]
source = self.FakeSource(1, [rupture for poes, rupture in ruptures_and_poes], self.tom, "trt1")
disagreggated_poes = dict((rupture, poes) for (poes, rupture) in ruptures_and_poes)
gsim = self.FakeGSIM(
self.iml, self.imt, truncation_level=1, n_epsilons=3, disaggregated_poes=disagreggated_poes
)
bin_edges, matrix = disagg.disaggregation(
[source],
self.site,
self.imt,
self.iml,
{"trt1": gsim},
truncation_level=1,
n_epsilons=3,
mag_bin_width=1,
dist_bin_width=10,
coord_bin_width=1.0,
)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
aaae = numpy.testing.assert_array_almost_equal
aaae(mag_bins, [5, 6, 7, 8])
aaae(dist_bins, [50, 60, 70, 80])
aaae(lon_bins, [179.0, -180, -179.0])
aaae(lat_bins, [45.0, 46.0, 47.0])
aaae(eps_bins, [-1, -0.3333333, 0.3333333, 1])
self.assertEqual(trt_bins, ["trt1"])
for idx, value in [
((0, 0, 1, 0, 0, 0), 0),
((0, 0, 1, 0, 1, 0), 0.008131160717433694),
((0, 0, 1, 0, 2, 0), 0.012171913957925717),
((2, 2, 0, 1, 0, 0), 0.012109762440985716),
((2, 2, 0, 1, 1, 0), 0.015114219820389518),
((2, 2, 0, 1, 2, 0), 0.01810953978371055),
]:
self.assertAlmostEqual(matrix[idx], value)
matrix[idx] = 0
self.assertEqual(matrix.sum(), 0)
def test_cross_idl(self):
# test disaggregation with source generating ruptures crossing
# internation date line
ruptures_and_poes = [
([0, 0.2, 0.3], self.FakeRupture(5.5, 0.04, 55, -179.5, 45.5)),
([0.4, 0.5, 0.6], self.FakeRupture(7.5, 0.03, 75, 179.5, 46.5))
]
source = self.FakeSource(
1, [rupture for poes, rupture in ruptures_and_poes], self.tom,
'trt1')
disagreggated_poes = dict(
(rupture, poes) for (poes, rupture) in ruptures_and_poes)
gsim = self.FakeGSIM(self.iml,
self.imt,
truncation_level=1,
n_epsilons=3,
disaggregated_poes=disagreggated_poes)
bin_edges, matrix = disagg.disaggregation([source],
self.site,
self.imt,
self.iml, {'trt1': gsim},
truncation_level=1,
n_epsilons=3,
mag_bin_width=1,
dist_bin_width=10,
coord_bin_width=1.0)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
aaae = numpy.testing.assert_array_almost_equal
aaae(mag_bins, [5, 6, 7, 8])
aaae(dist_bins, [50, 60, 70, 80])
aaae(lon_bins, [179., -180, -179.])
aaae(lat_bins, [45., 46., 47.])
aaae(eps_bins, [-1, -0.3333333, 0.3333333, 1])
self.assertEqual(trt_bins, ['trt1'])
for idx, value in [((0, 0, 1, 0, 0, 0), 0),
((0, 0, 1, 0, 1, 0), 0.008131160717433694),
((0, 0, 1, 0, 2, 0), 0.012171913957925717),
((2, 2, 0, 1, 0, 0), 0.012109762440985716),
((2, 2, 0, 1, 1, 0), 0.015114219820389518),
((2, 2, 0, 1, 2, 0), 0.01810953978371055)]:
self.assertAlmostEqual(matrix[idx], value)
matrix[idx] = 0
self.assertEqual(matrix.sum(), 0)
def test(self):
bin_edges, matrix = disagg.disaggregation(
self.sources, self.site, self.imt, self.iml, self.gsims,
self.truncation_level, n_epsilons=3,
mag_bin_width=3, dist_bin_width=4, coord_bin_width=2.4)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
aaae = numpy.testing.assert_array_almost_equal
aaae(mag_bins, [3, 6, 9])
aaae(dist_bins, [8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48,
52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100,
104, 108, 112])
aaae(lon_bins, [[0, 2.4]])
aaae(lat_bins, [[0, 2.4]])
aaae(eps_bins, [-1, -0.3333333, 0.3333333, 1])
self.assertEqual(trt_bins, [self.trt])
aaae(matrix.shape, (2, 26, 1, 1, 3, 1))
aaae(matrix.sum(), 6.14179818e-11)
def test(self):
self.gsim.truncation_level = self.truncation_level = 1
bin_edges, matrix = disagg.disaggregation(
self.sources,
self.site,
self.imt,
self.iml,
self.gsims,
self.truncation_level,
n_epsilons=3,
mag_bin_width=3,
dist_bin_width=4,
coord_bin_width=2.4,
)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
aaae = numpy.testing.assert_array_almost_equal
aaae(mag_bins, [3, 6, 9])
aaae(dist_bins, [0, 4, 8, 12, 16])
aaae(lon_bins, [9.6, 12.0, 14.4, 16.8, 19.2, 21.6, 24.0])
aaae(lat_bins, [43.2, 45.6, 48.0])
aaae(eps_bins, [-1, -0.3333333, 0.3333333, 1])
self.assertEqual(trt_bins, ["trt1", "trt2"])
for idx, value in [
((0, 2, 5, 0, 0, 0), 0.022067231457071457),
((0, 2, 5, 0, 1, 0), 0.043647500209963),
((0, 2, 5, 0, 2, 0), 0.022067231457071457),
((0, 3, 5, 0, 1, 0), 0.01982473192105061),
((0, 3, 5, 0, 2, 0), 0.003409751870464106),
((0, 2, 4, 0, 0, 0), 0.04290887394265486),
((0, 2, 4, 0, 1, 0), 0.09152318417708383),
((0, 2, 4, 0, 2, 0), 0.0438902176307755),
((1, 3, 5, 0, 0, 0), 0.03111383880273666),
((1, 3, 5, 0, 1, 0), 0.041268484485817325),
((1, 3, 5, 0, 2, 0), 0.03111383880273666),
((1, 3, 4, 0, 2, 0), 0.010480741793785553),
((1, 1, 0, 0, 1, 1), 0.004073878602149361),
((1, 1, 0, 0, 2, 1), 0.0016315473579483486),
((1, 1, 0, 1, 0, 1), 0.003041286638106211),
((1, 1, 0, 1, 1, 1), 0.015114219820389518),
((1, 1, 0, 1, 2, 1), 0.003041286638106211),
]:
self.assertAlmostEqual(matrix[idx], value)
matrix[idx] = 0
self.assertEqual(matrix.sum(), 0)
def test_no_contributions_from_ruptures(self):
# Test that the `disaggregation` function returns `None, None` if no
# ruptures contribute to the hazard level.
array = numpy.array
float64 = numpy.float64
int64 = numpy.int64
# This is the result we get if the sources produce no ruptures:
fake_bins_data = (array([], dtype=float64), array([], dtype=float64),
array([], dtype=float64), array([], dtype=float64),
array([], dtype=float64), array([], dtype=int64), [])
with mock.patch(
'openquake.hazardlib.calc.disagg._collect_bins_data_old'
) as cbd:
with warnings.catch_warnings(record=True) as w:
cbd.return_value = fake_bins_data
self.gsim.truncation_level = self.truncation_level = 1
bin_edges, matrix = disagg.disaggregation(
self.sources,
self.site,
self.imt,
self.iml,
self.gsims,
self.truncation_level,
n_epsilons=3,
mag_bin_width=3,
dist_bin_width=4,
coord_bin_width=2.4,
)
# We expect to get back 2 `None` values:
self.assertIsNone(bin_edges)
self.assertIsNone(matrix)
# Also check for the warning that should be raised:
expected_warning_msg = (
'No ruptures have contributed to the hazard at site '
'<Location=<Latitude=0.000000, Longitude=0.000000, '
'Depth=0.0000>, Vs30=2.0000, Vs30Measured=False, '
'Depth1.0km=4.0000, Depth2.5km=5.0000, Backarc=False>')
self.assertEqual(1, len(w))
[warning] = list(w)
self.assertEqual(expected_warning_msg, str(warning.message))
def test(self):
self.gsim.truncation_level = self.truncation_level = 1
bin_edges, matrix = disagg.disaggregation(
self.sources,
self.site,
self.imt,
self.iml,
self.gsims,
self.tom,
self.truncation_level,
n_epsilons=3,
mag_bin_width=3,
dist_bin_width=4,
coord_bin_width=2.4,
)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
aaae = numpy.testing.assert_array_almost_equal
aaae(mag_bins, [3, 6, 9])
aaae(dist_bins, [0, 4, 8, 12, 16])
aaae(lon_bins, [9.6, 12.0, 14.4, 16.8, 19.2, 21.6, 24.0])
aaae(lat_bins, [43.2, 45.6, 48.0])
aaae(eps_bins, [-1, -0.3333333, 0.3333333, 1])
self.assertEqual(trt_bins, ["trt1", "trt2"])
for idx, value in [
((0, 2, 4, 0, 0, 0), 0.0907580),
((0, 2, 4, 0, 1, 0), 0.1920692),
((0, 2, 4, 0, 2, 0), 0.1197794),
((0, 2, 5, 0, 0, 0), 0.1319157),
((0, 2, 5, 0, 1, 0), 0.2110651),
((0, 2, 5, 0, 2, 0), 0.1398306),
((0, 3, 5, 0, 1, 0), 0.0435322),
((0, 3, 5, 0, 2, 0), 0.0008706),
((1, 1, 0, 0, 1, 1), 0.0105533),
((1, 1, 0, 0, 2, 1), 0.0042213),
((1, 1, 0, 1, 0, 1), 0.0079149),
((1, 1, 0, 1, 1, 1), 0.0395747),
((1, 1, 0, 1, 2, 1), 0.0079149),
]:
self.assertAlmostEqual(matrix[idx], value)
matrix[idx] = 0
self.assertEqual(matrix.sum(), 0)
def test_source_errors(self):
# exercise the case where an error occurs while computing on a given
# seismic source; in this case, we expect an error to be raised which
# signals the id of the source in question
fail_source = self.FailSource(self.source2.source_id,
self.source2.ruptures,
self.source2.tom,
self.source2.tectonic_region_type)
sources = iter([self.source1, fail_source])
with self.assertRaises(ValueError) as ae:
bin_edges, matrix = disagg.disaggregation(
sources, self.site, self.imt, self.iml, self.gsims,
self.truncation_level, n_epsilons=3,
mag_bin_width=3, dist_bin_width=4, coord_bin_width=2.4
)
expected_error = (
'An error occurred with source id=2. Error: Something bad happened'
)
self.assertEqual(expected_error, str(ae.exception))
def test_source_errors(self):
# exercise the case where an error occurs while computing on a given
# seismic source; in this case, we expect an error to be raised which
# signals the id of the source in question
fail_source = self.FailSource(self.source2.source_id,
self.source2.ruptures,
self.source2.tom,
self.source2.tectonic_region_type)
sources = iter([self.source1, fail_source])
with self.assertRaises(ValueError) as ae:
bin_edges, matrix = disagg.disaggregation(
sources, self.site, self.imt, self.iml, self.gsims,
self.truncation_level, n_epsilons=3,
mag_bin_width=3, dist_bin_width=4, coord_bin_width=2.4
)
expected_error = (
'An error occurred with source id=2. Error: Something bad happened'
)
self.assertEqual(expected_error, ae.exception.message)
def test(self):
self.gsim.truncation_level = self.truncation_level = 1
bin_edges, matrix = disagg.disaggregation(self.sources,
self.site,
self.imt,
self.iml,
self.gsims,
self.truncation_level,
n_epsilons=3,
mag_bin_width=3,
dist_bin_width=4,
coord_bin_width=2.4)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
aaae = numpy.testing.assert_array_almost_equal
aaae(mag_bins, [3, 6, 9])
aaae(dist_bins, [0, 4, 8, 12, 16])
aaae(lon_bins, [9.6, 12., 14.4, 16.8, 19.2, 21.6, 24.])
aaae(lat_bins, [43.2, 45.6, 48.])
aaae(eps_bins, [-1, -0.3333333, 0.3333333, 1])
self.assertEqual(trt_bins, ['trt1', 'trt2'])
for idx, value in [((0, 2, 5, 0, 0, 0), 0.022067231457071457),
((0, 2, 5, 0, 1, 0), 0.043647500209963),
((0, 2, 5, 0, 2, 0), 0.022067231457071457),
((0, 3, 5, 0, 1, 0), 0.01982473192105061),
((0, 3, 5, 0, 2, 0), 0.003409751870464106),
((0, 2, 4, 0, 0, 0), 0.04290887394265486),
((0, 2, 4, 0, 1, 0), 0.09152318417708383),
((0, 2, 4, 0, 2, 0), 0.0438902176307755),
((1, 3, 5, 0, 0, 0), 0.03111383880273666),
((1, 3, 5, 0, 1, 0), 0.041268484485817325),
((1, 3, 5, 0, 2, 0), 0.03111383880273666),
((1, 3, 4, 0, 2, 0), 0.010480741793785553),
((1, 1, 0, 0, 1, 1), 0.004073878602149361),
((1, 1, 0, 0, 2, 1), 0.0016315473579483486),
((1, 1, 0, 1, 0, 1), 0.003041286638106211),
((1, 1, 0, 1, 1, 1), 0.015114219820389518),
((1, 1, 0, 1, 2, 1), 0.003041286638106211)]:
self.assertAlmostEqual(matrix[idx], value)
matrix[idx] = 0
self.assertEqual(matrix.sum(), 0)
def test_areasource(self):
nodalplane = NodalPlane(strike=0.0, dip=90.0, rake=0.0)
src = AreaSource(
source_id='src_1',
name='area source',
tectonic_region_type='Active Shallow Crust',
mfd=TruncatedGRMFD(a_val=3.5, b_val=1.0, min_mag=5.0,
max_mag=6.5, bin_width=0.1),
nodal_plane_distribution=PMF([(1.0, nodalplane)]),
hypocenter_distribution=PMF([(1.0, 5.0)]),
upper_seismogenic_depth=0.0,
lower_seismogenic_depth=10.0,
magnitude_scaling_relationship = WC1994(),
rupture_aspect_ratio=1.0,
polygon=Polygon([Point(-0.5,-0.5), Point(-0.5,0.5),
Point(0.5,0.5), Point(0.5,-0.5)]),
area_discretization=9.0,
rupture_mesh_spacing=1.0
)
site = Site(location=Point(0.0,0.0),
vs30=800.0,
vs30measured=True,
z1pt0=500.0,
z2pt5=2.0)
gsims = {'Active Shallow Crust': BooreAtkinson2008()}
imt = SA(period=0.1,damping=5.0)
iml = 0.2
time_span = 50.0
truncation_level = 3.0
tom = PoissonTOM(time_span)
n_epsilons = 3
mag_bin_width = 0.2
# in km
dist_bin_width = 10.0
# in decimal degree
coord_bin_width = 0.2
# compute disaggregation
bin_edges, diss_matrix = disagg.disaggregation(
[src], site, imt, iml, gsims, tom, truncation_level, n_epsilons,
mag_bin_width, dist_bin_width, coord_bin_width
)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
numpy.testing.assert_almost_equal(
mag_bins, [5., 5.2, 5.4, 5.6, 5.8, 6., 6.2, 6.4, 6.6]
)
numpy.testing.assert_almost_equal(
dist_bins, [0., 10., 20., 30., 40., 50., 60., 70., 80.]
)
numpy.testing.assert_almost_equal(
lat_bins, [-0.6, -0.4, -0.2, 0., 0.2, 0.4, 0.6]
)
numpy.testing.assert_almost_equal(
lon_bins, [-0.6, -0.4, -0.2, 0., 0.2, 0.4, 0.6]
)
numpy.testing.assert_almost_equal(
eps_bins, [-3., -1., 1., 3.]
)
self.assertEqual(trt_bins, ['Active Shallow Crust'])
expected_matrix = numpy.fromstring("""\
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oY5YPkcYmjdq6M0aLNfnslnNO3db/MDy67o04+F1cq483r9Uq25u48XY661w3KZ/Od0Iix8a5LlF
dZGB32PZTMFz7ZOwbSJ/uX50ll2J5FUUxNalx8w6RvvMWwqrddjTa5fcki7HsfdT/w2lsy9ffFD8
m9n/LZN5Yl8lyWDXpzn+QfuH1zOwPjrrWX1RO3kK9vMS9omuUw+LfjOvCwAAAAAAgLH4A6tzO/E=\
""".decode('base64').decode('zip')).reshape((8, 8, 6, 6, 3, 1))
numpy.testing.assert_almost_equal(diss_matrix, expected_matrix)
def test_areasource(self):
nodalplane = NodalPlane(strike=0.0, dip=90.0, rake=0.0)
src = AreaSource(source_id='src_1',
name='area source',
tectonic_region_type='Active Shallow Crust',
mfd=TruncatedGRMFD(a_val=3.5,
b_val=1.0,
min_mag=5.0,
max_mag=6.5,
bin_width=0.1),
nodal_plane_distribution=PMF([(1.0, nodalplane)]),
hypocenter_distribution=PMF([(1.0, 5.0)]),
upper_seismogenic_depth=0.0,
lower_seismogenic_depth=10.0,
magnitude_scaling_relationship=WC1994(),
rupture_aspect_ratio=1.0,
polygon=Polygon([
Point(-0.5, -0.5),
Point(-0.5, 0.5),
Point(0.5, 0.5),
Point(0.5, -0.5)
]),
area_discretization=9.0,
rupture_mesh_spacing=1.0,
temporal_occurrence_model=PoissonTOM(50.))
site = Site(location=Point(0.0, 0.0),
vs30=800.0,
vs30measured=True,
z1pt0=500.0,
z2pt5=2.0)
gsims = {'Active Shallow Crust': BooreAtkinson2008()}
imt = SA(period=0.1, damping=5.0)
iml = 0.2
truncation_level = 3.0
n_epsilons = 3
mag_bin_width = 0.2
# in km
dist_bin_width = 10.0
# in decimal degree
coord_bin_width = 0.2
# compute disaggregation
bin_edges, diss_matrix = disagg.disaggregation(
[src], site, imt, iml, gsims, truncation_level, n_epsilons,
mag_bin_width, dist_bin_width, coord_bin_width)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
numpy.testing.assert_almost_equal(
mag_bins, [5., 5.2, 5.4, 5.6, 5.8, 6., 6.2, 6.4, 6.6])
numpy.testing.assert_almost_equal(
dist_bins, [0., 10., 20., 30., 40., 50., 60., 70., 80.])
numpy.testing.assert_almost_equal(
lat_bins, [-0.6, -0.4, -0.2, 0., 0.2, 0.4, 0.6])
numpy.testing.assert_almost_equal(
lon_bins, [-0.6, -0.4, -0.2, 0., 0.2, 0.4, 0.6])
numpy.testing.assert_almost_equal(eps_bins, [-3., -1., 1., 3.])
self.assertEqual(trt_bins, ['Active Shallow Crust'])
expected_matrix = numpy.fromstring(
codecs.decode(
codecs.decode(
b"""\
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ii9e+9WfsZAw3S0TeOUlR+7RFvWgn5clIg/vs6AGh2O0JfZf22VvFJ3UaQhDl1W0LgQtoeYdxd9j
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5tvrx/Q6tDslAO/DZeLQKwgwj56J7b4C8Ct0j/sSxS9CfK7egmYejFwi4bmwe/HrQ0ioJ3bwoFsY
CfUw20xFrgDq4Ry6axADKOcefm2X24fG13XcuGG3+5A93cHZvWT3eRLsnGfhUpUCqqfO0ecaCfUv
LaiVB/kVp0R9HRn2U1BQUFBQUHx30INWx2VpwZDdp2v2u9fDkEX1xNG/zP/6fREuXxpdaQFDzB+M
tjrP6rnvdLVAhuKHn/D2UFD0R4Zr3R+WugSGRJ4u2juN/dWfZ/wSxkEMet7PnV5XltyYAUP175ct
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lon2BxYA9qslMcm3uoLbmW3XFtg5HV9PUHJeYwRAF6NZGjvdBOgL+ZnPO/+cILx+G5oXFpKFAMYr
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89r9y7oPXTUrbKnF1zPQYZ+UEFcG6COI6ya5sUTiqgiCPTgmKcV/roAzpm3FQxaErF/1YBh//wf8
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oKegxVNuJ/Wl+7MGKOhWy0FnSMhbiDh9WKpPxrmFF9cDFRpBeTXLnFUA9dNTfMWtQO9hd2tmJRn5
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3N91P42g/mnaKtokSsJ7qUYcm/ka0M9YwqQECfzzYifC94ZJAfrhqqmjSa3w5nuf5ZC9wQNQvIAK
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c5GFf9WB1V268MyfPF7x63F35rVpVbHw82hPnuKYYkB/ordPde07I1qO7ZsGoL6Mnt7RdpqM/UwF
Nel7gDyKhBkqLaZERnxB8LlDUkTiZSj+HXUbExBQHB9RpN59KCcjHiSn9r0WIA4LlV3x5CJgXUAP
NpRJAfK4Qs8XqReSkY+u6eonXVBeRAqK/ohy3LXjZOi5/h2he0qoeUFB0Qv8H5mRW2E=\
""", 'base64'), 'zip')).reshape((8, 8, 6, 6, 3, 1))
numpy.testing.assert_almost_equal(diss_matrix, expected_matrix)
def test_areasource(self):
nodalplane = NodalPlane(strike=0.0, dip=90.0, rake=0.0)
src = AreaSource(source_id='src_1',
name='area source',
tectonic_region_type='Active Shallow Crust',
mfd=TruncatedGRMFD(a_val=3.5,
b_val=1.0,
min_mag=5.0,
max_mag=6.5,
bin_width=0.1),
nodal_plane_distribution=PMF([(1.0, nodalplane)]),
hypocenter_distribution=PMF([(1.0, 5.0)]),
upper_seismogenic_depth=0.0,
lower_seismogenic_depth=10.0,
magnitude_scaling_relationship=WC1994(),
rupture_aspect_ratio=1.0,
polygon=Polygon([
Point(-0.5, -0.5),
Point(-0.5, 0.5),
Point(0.5, 0.5),
Point(0.5, -0.5)
]),
area_discretization=9.0,
rupture_mesh_spacing=1.0,
temporal_occurrence_model=PoissonTOM(50.))
site = Site(location=Point(0.0, 0.0),
vs30=800.0,
vs30measured=True,
z1pt0=500.0,
z2pt5=2.0)
gsims = {'Active Shallow Crust': BooreAtkinson2008()}
imt = SA(period=0.1, damping=5.0)
iml = 0.2
truncation_level = 3.0
n_epsilons = 3
mag_bin_width = 0.2
# in km
dist_bin_width = 10.0
# in decimal degree
coord_bin_width = 0.2
# compute disaggregation
bin_edges, diss_matrix = disagg.disaggregation(
[src], site, imt, iml, gsims, truncation_level, n_epsilons,
mag_bin_width, dist_bin_width, coord_bin_width)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
numpy.testing.assert_almost_equal(
mag_bins, [5., 5.2, 5.4, 5.6, 5.8, 6., 6.2, 6.4, 6.6])
numpy.testing.assert_almost_equal(
dist_bins, [0., 10., 20., 30., 40., 50., 60., 70., 80.])
numpy.testing.assert_almost_equal(lat_bins, [
-6.5544231e-01, -4.9158173e-01, -3.2772115e-01, -1.6386058e-01,
1.1102230e-16, 1.6386058e-01, 3.2772115e-01, 4.9158173e-01,
6.5544231e-01
])
numpy.testing.assert_almost_equal(lon_bins, [
-6.5544231e-01, -4.9158173e-01, -3.2772115e-01, -1.6386058e-01,
1.1102230e-16, 1.6386058e-01, 3.2772115e-01, 4.9158173e-01,
6.5544231e-01
])
numpy.testing.assert_almost_equal(eps_bins, [-3., -1., 1., 3.])
self.assertEqual(trt_bins, ['Active Shallow Crust'])
self.assertEqual(diss_matrix.shape, (8, 8, 8, 8, 3, 1))
expected = [
0.0245487, 0.0231275, 0.0210702, 0.0185196, 0.0157001, 0.0130175,
0.0107099, 0.0045489
]
numpy.testing.assert_almost_equal(
diss_matrix.sum(axis=(1, 2, 3, 4, 5)), expected)
def test_areasource(self):
nodalplane = NodalPlane(strike=0.0, dip=90.0, rake=0.0)
src = AreaSource(
source_id='src_1',
name='area source',
tectonic_region_type='Active Shallow Crust',
mfd=TruncatedGRMFD(a_val=3.5, b_val=1.0, min_mag=5.0,
max_mag=6.5, bin_width=0.1),
nodal_plane_distribution=PMF([(1.0, nodalplane)]),
hypocenter_distribution=PMF([(1.0, 5.0)]),
upper_seismogenic_depth=0.0,
lower_seismogenic_depth=10.0,
magnitude_scaling_relationship=WC1994(),
rupture_aspect_ratio=1.0,
polygon=Polygon([Point(-0.5, -0.5), Point(-0.5, 0.5),
Point(0.5, 0.5), Point(0.5, -0.5)]),
area_discretization=9.0,
rupture_mesh_spacing=1.0,
temporal_occurrence_model=PoissonTOM(50.)
)
site = Site(location=Point(0.0, 0.0),
vs30=800.0,
vs30measured=True,
z1pt0=500.0,
z2pt5=2.0)
gsims = {'Active Shallow Crust': BooreAtkinson2008()}
imt = SA(period=0.1, damping=5.0)
iml = 0.2
truncation_level = 3.0
n_epsilons = 3
mag_bin_width = 0.2
# in km
dist_bin_width = 10.0
# in decimal degree
coord_bin_width = 0.2
# compute disaggregation
bin_edges, diss_matrix = disagg.disaggregation(
[src], site, imt, iml, gsims, truncation_level,
n_epsilons, mag_bin_width, dist_bin_width, coord_bin_width
)
mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges
numpy.testing.assert_almost_equal(
mag_bins, [5., 5.2, 5.4, 5.6, 5.8, 6., 6.2, 6.4, 6.6]
)
numpy.testing.assert_almost_equal(
dist_bins, [0., 10., 20., 30., 40., 50., 60., 70., 80.]
)
numpy.testing.assert_almost_equal(
lat_bins, [-0.6, -0.4, -0.2, 0., 0.2, 0.4, 0.6]
)
numpy.testing.assert_almost_equal(
lon_bins, [-0.6, -0.4, -0.2, 0., 0.2, 0.4, 0.6]
)
numpy.testing.assert_almost_equal(
eps_bins, [-3., -1., 1., 3.]
)
self.assertEqual(trt_bins, ['Active Shallow Crust'])
expected_matrix = numpy.fromstring(codecs.decode(codecs.decode(b"""\
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bOZTnWeSAPuJMnRT4X1pQD273FqsB+HXKWxLYLwSBFi/8gvFarr2p4S0rnGV1qB2yoD5blFy6qMU
Cf1A8e+w0nlzuAYw7nVWCyoH48cLHV5LfwAoh+6lumzjCu4/yKuk955igs9fjFMrFi8u+DqCGp1T
3N91P42g/mnaKtokSsJ7qUYcm/ka0M9YwqQECfzzYifC94ZJAfrhqqmjSa3w5nuf5ZC9wQNQvIAK
Tf+ZILpJdzTkTBnVdZ4eHvqY8y33i9E5doHFgHGZd+Dontsk+OEw0/cNXXp3T31P/RMrV5g/fEbC
c5GFf9WB1V268MyfPF7x63F35rVpVbHw82hPnuKYYkB/ordPde07I1qO7ZsGoL6Mnt7RdpqM/UwF
Nel7gDyKhBkqLaZERnxB8LlDUkTiZSj+HXUbExBQHB9RpN59KCcjHiSn9r0WIA4LlV3x5CJgXUAP
NpRJAfK4Qs8XqReSkY+u6eonXVBeRAqK/ohy3LXjZOi5/h2he0qoeUFB0Qv8H5mRW2E=\
""", 'base64'), 'zip')).reshape((8, 8, 6, 6, 3, 1))
numpy.testing.assert_almost_equal(diss_matrix, expected_matrix)
