def test_modify_mfd(self):
mfd = ArbitraryMFD(magnitudes=(4., 5., 6.),
occurrence_rates=(1., 2., 3.))
mfd.modify(
"set_mfd",
{"magnitudes": [7, 8, 9], "occurrence_rates": [0, 2, 1]})
self.assertListEqual(mfd.magnitudes, [7, 8, 9])
self.assertListEqual(mfd.occurrence_rates, [0, 2, 1])
def test_modify_mfd(self):
mfd = ArbitraryMFD(magnitudes=(4., 5., 6.),
occurrence_rates=(1., 2., 3.))
mfd.modify(
"set_mfd",
{"magnitudes": [7, 8, 9], "occurrence_rates": [0, 2, 1]})
self.assertListEqual(mfd.magnitudes, [7, 8, 9])
self.assertListEqual(mfd.occurrence_rates, [0, 2, 1])
def test(self):
sitecol = SiteCollection([Site(Point(-65.13490, 0.0),
vs30=760., z1pt0=48.0, z2pt5=0.607,
vs30measured=True)])
mfd = ArbitraryMFD([6.0], [0.01604252])
trace = Line([Point(-65.0000, -0.11240), Point(-65.000, 0.11240)])
# 1.0 km Mesh Spacing
mesh_spacing = 1.0
msr = PeerMSR()
sources = [SimpleFaultSource("001", "PEER Fault Set 2.5",
"Active Shallow Crust", mfd,
mesh_spacing, msr, 2.0, PoissonTOM(1.0),
0.0, 12., trace, 90., 0.)]
imtls = {"PGA": [0.001, 0.01, 0.05, 0.1, 0.2, 0.4, 0.6, 0.8, 1.0,
1.25, 1.5, 2.0, 2.5, 3.0, 4.0, 5.0, 6.0, 7.0]}
gmpe = ChiouYoungs2014PEER()
gmpe.mixture_model = {"factors": [0.8, 1.2], "weights": [0.5, 0.5]}
hcm = calc_hazard_curves(sources, sitecol, imtls,
{"Active Shallow Crust": gmpe})
# Match against the benchmark is not exact - but differences in the
# log space should be on the order of less than 0.04%
expected = numpy.array([-4.140470001, -4.140913368, -4.259457496,
-4.724733842, -5.900747959, -7.734816415,
-9.019329629, -10.03864778, -10.90333404,
-11.83885783, -12.65826442, -14.05429951,
-15.22535996, -16.23988897, -17.94685518,
-19.36079032, -20.57460101, -21.64201335])
expected = numpy.around(expected, 5)
hcm_lnpga = numpy.around(numpy.log(hcm["PGA"].flatten()), 5)
perc_diff = 100.0 * ((hcm_lnpga / expected) - 1.0)
numpy.testing.assert_allclose(perc_diff, numpy.zeros(len(perc_diff)),
atol=0.04)
def test_point_surface(self):
sid = 0
name = 'test'
trt = TRT.ACTIVE_SHALLOW_CRUST
mfd = ArbitraryMFD([7.0], [1.])
rms = 2.5
msr = WC1994()
rar = 1.0
tom = PoissonTOM(1.)
usd = 0.0
lsd = 20.0
loc = Point(0.0, 0.0)
npd = PMF([(1.0, NodalPlane(90., 90., 90.))])
hyd = PMF([(1.0, 10.)])
src = PointSource(sid, name, trt, mfd, rms, msr, rar, tom, usd, lsd,
loc, npd, hyd)
rups = [r for r in src.iter_ruptures()]
# Compute distances
param = 'closest_point'
sites = SiteCollection(
[Site(Point(0.0, 0.0, 0.0)),
Site(Point(-0.2, 0.0, 0.0))])
dsts = get_distances(rups[0], sites, param)
# Check first point
msg = 'The longitude of the first point is wrong'
self.assertTrue(abs(dsts[0, 0] - 0.0) < 1e-2, msg)
msg = 'The latitude of the first point is wrong'
self.assertTrue(abs(dsts[0, 1] - 0.0) < 1e-2, msg)
# Check second point
msg = 'The longitude of the second point is wrong'
self.assertTrue(abs(dsts[1, 0] + 0.1666) < 1e-2, msg)
msg = 'The latitude of the second point is wrong'
self.assertTrue(abs(dsts[1, 1] - 0.0) < 1e-2, msg)
def test_get_min_max(self):
mfd = ArbitraryMFD(magnitudes=[4, 5, 6], occurrence_rates=[1, 2, 3])
self.assertEqual(mfd.get_min_max_mag(), (4, 6))
def test_get_annual_occurrence_rates(self):
mfd = ArbitraryMFD(magnitudes=[4, 5, 6], occurrence_rates=[1, 2, 3])
self.assertEqual(mfd.get_annual_occurrence_rates(), [(4, 1), (5, 2),
(6, 3)])
def test_get_min_max(self):
mfd = ArbitraryMFD(magnitudes=[4, 5, 6], occurrence_rates=[1, 2, 3])
self.assertEqual(mfd.get_min_max_mag(), (4, 6))
def test_get_annual_occurrence_rates(self):
mfd = ArbitraryMFD(magnitudes=[4, 5, 6], occurrence_rates=[1, 2, 3])
self.assertEqual(mfd.get_annual_occurrence_rates(),
[(4, 1), (5, 2), (6, 3)])
