def _test(vs30file=None):
print('Testing creation of Sites object with Vs30 file of %s...' % vs30file)
cx = -118.2
cy = 34.1
dx = 0.0083
dy = 0.0083
xspan = 3.0
yspan = 3.0
mysite = Sites.createFromCenter(cx,cy,xspan,yspan,dx,dy,vs30File=vs30file,
padding=True,resample=False)
sc = mysite.getSitesContext()
cx = -118.2
cy = 83
dx = 0.0083
dy = 0.0083
xspan = 3.0
yspan = 3.0
mysite = Sites.createFromCenter(cx,cy,xspan,yspan,dx,dy,vs30File=vs30file,padding=True,resample=False)
xmin = 116.234
xmax = 120.876
ymin = 20.12345
ymax = 24.75435
dx = 0.0083
dy = 0.0083
mysite = Sites.createFromBounds(xmin,xmax,ymin,ymax,dx,dy,vs30File=vs30file,padding=False,resample=False)
print('Passed creation of Sites object with Vs30 file of %s' % vs30file)
def _test(vs30file=None):
print('Testing creation of Sites object with Vs30 file of %s...' %
vs30file)
cx = -118.2
cy = 34.1
dx = 0.0083
dy = 0.0083
xspan = 3.0
yspan = 3.0
mysite = Sites.createFromCenter(cx,
cy,
xspan,
yspan,
dx,
dy,
vs30File=vs30file,
padding=True,
resample=False)
sc = mysite.getSitesContext()
cx = -118.2
cy = 83
dx = 0.0083
dy = 0.0083
xspan = 3.0
yspan = 3.0
mysite = Sites.createFromCenter(cx,
cy,
xspan,
yspan,
dx,
dy,
vs30File=vs30file,
padding=True,
resample=False)
xmin = 116.234
xmax = 120.876
ymin = 20.12345
ymax = 24.75435
dx = 0.0083
dy = 0.0083
mysite = Sites.createFromBounds(xmin,
xmax,
ymin,
ymax,
dx,
dy,
vs30File=vs30file,
padding=False,
resample=False)
print('Passed creation of Sites object with Vs30 file of %s' % vs30file)
def test(vs30file=None):
vs30file = os.path.join(shakedir, 'data/Vs30_test.grd')
cx = -118.2
cy = 34.1
dx = 0.0083
dy = 0.0083
xspan = 0.0083 * 5
yspan = 0.0083 * 5
mysite = Sites.createFromCenter(cx, cy, xspan, yspan, dx, dy,
vs30File=vs30file, padding=True,
resample=False)
grd = mysite.getVs30Grid().getData()
grd_target = np.array(
[[ 409.14199829, 428.24468994, 395.90026855, 426.31658936,
427.53845215, 433.40481567, 436.59918213, 440.43664551,
413.60662842],
[ 423.60855103, 426.64892578, 398.89712524, 428.88549805,
428.78335571, 428.58578491, 430.54354858, 433.59750366,
415.18811035],
[ 391.67398071, 426.20635986, 425.57946777, 428.21954346,
426.06726074, 421.86233521, 423.53192139, 426.25296021,
365.48190308],
[ 385.00396729, 428.14602661, 430.05944824, 429.3427124 ,
426.13626099, 409.76391602, 383.07299805, 372.39117432,
426.48486328],
[ 356.68756104, 432.64077759, 434.55209351, 432.21600342,
395.53771973, 419.31866455, 421.67749023, 426.23449707,
427.32818604],
[ 337.0546875 , 345.14605713, 403.78097534, 385.49118042,
413.04779053, 428.22869873, 427.00268555, 426.8951416 ,
425.62023926],
[ 403.78884888, 336.48217773, 347.82220459, 425.96798706,
432.0640564 , 429.40097046, 427.74179077, 427.00006104,
419.5062561 ],
[ 420.07458496, 330.57504272, 392.33255005, 430.33862305,
432.01391602, 429.43969727, 427.30435181, 425.96151733,
426.15856934]])
np.testing.assert_allclose(grd, grd_target)
sc = mysite.getSitesContext()
scsamp = mysite.sampleFromSites(np.array([34.1, 34.111]),
np.array([-118.2, -118.222]))
xmin = -118.2
xmax = -118.12
ymin = 34.05
ymax = 34.1
dx = 0.0083
dy = 0.0083
mysite = Sites.createFromBounds(xmin, xmax, ymin, ymax, dx, dy,
vs30File=vs30file, padding=False,
resample=False)
grd = mysite.getVs30Grid().getData()
grd_target = np.array(
[[ 426.13626099, 409.76391602, 383.07299805, 372.39117432,
426.48486328, 422.45065308, 417.21685791, 410.43737793,
405.33862305, 400.5239563 , 396.03030396],
[ 395.53771973, 419.31866455, 421.67749023, 426.23449707,
427.32818604, 424.84860229, 415.17590332, 407.5760498 ,
404.54788208, 402.28500366, 398.95913696],
[ 413.04779053, 428.22869873, 427.00268555, 426.8951416 ,
425.62023926, 419.60952759, 411.7961731 , 407.53509521,
406.22122192, 405.31622314, 402.92575073],
[ 432.0640564 , 429.40097046, 427.74179077, 427.00006104,
419.5062561 , 411.10830688, 407.48901367, 406.53305054,
406.59658813, 406.24887085, 406.17044067],
[ 432.01391602, 429.43969727, 427.30435181, 425.96151733,
426.15856934, 427.56121826, 397.67102051, 399.21054077,
404.54968262, 407.18515015, 410.00823975],
[ 426.76913452, 428.86270142, 425.99606323, 423.5692749 ,
423.59835815, 425.92758179, 408.44885254, 406.55810547,
409.06945801, 413.75210571, 417.71130371],
[ 423.1892395 , 427.91104126, 424.53796387, 419.47485352,
418.177948 , 424.14065552, 428.57913208, 432.95300293,
427.77731323, 431.46524048, 442.75540161],
[ 410.56729126, 423.15557861, 424.48355103, 419.27658081,
418.60211182, 423.86721802, 428.06176758, 432.42089844,
438.54446411, 448.37237549, 462.25509644],
[ 405.86877441, 414.27923584, 419.53878784, 396.18017578,
414.54452515, 419.80047607, 425.19824219, 424.48919678,
424.72061157, 431.52270508, 432.84347534]])
np.testing.assert_allclose(grd, grd_target)
def test_multigmpe():
# Define gmpes and their weights
gmpes = [AbrahamsonEtAl2014(), BooreEtAl2014(),
CampbellBozorgnia2014(), ChiouYoungs2014()]
wts = [0.25, 0.25, 0.25, 0.25]
# Make sites instance
vs30file = os.path.join(shakedir, 'tests/data/Vs30_test.grd')
cx = -118.2
cy = 34.1
dx = 0.0083
dy = 0.0083
xspan = 0.0083 * 5
yspan = 0.0083 * 5
site = Sites.createFromCenter(cx, cy, xspan, yspan, dx, dy,
vs30File=vs30file,
padding=True, resample=False)
sctx = site.getSitesContext()
sctx.vs30 = np.reshape(sctx.vs30, (-1,))
sctx.vs30measured = np.reshape(sctx.vs30measured, (-1,))
sctx.z1pt0 = np.reshape(sctx.z1pt0, (-1,))
# Need separate z1pt0 arrays
sctx.z1pt0cy14 = mg._z1_from_vs30_cy14_cal(sctx.vs30)
sctx.z1pt0ask14 = mg._z1_from_vs30_ask14_cal(sctx.vs30)
sctx.z2pt5 = mg._z2p5_from_vs30_cb14_cal(sctx.vs30) / 1000.0
# Make souce instance
lat0 = np.array([34.1])
lon0 = np.array([-118.2])
lat1 = np.array([34.2])
lon1 = np.array([-118.15])
z = np.array([1.0])
W = np.array([3.0])
dip = np.array([30.])
flt = Fault.fromTrace(lon0, lat0, lon1, lat1, z, W, dip)
event = {'lat': 34.1, 'lon': -118.2, 'depth': 1, 'mag': 6,
'id': '', 'locstring': '', 'rake': 30.3,
'time': ShakeDateTime.utcfromtimestamp(int(time.time())),
'timezone': 'UTC'}
source = Source(event, flt)
# Make a rupture context
rupt = source.getRuptureContext(gmpes)
# Make a distance context
dctx = Distance.fromSites(gmpes, source, site).getDistanceContext()
dctx.rhypo = np.reshape(dctx.rhypo, (-1,))
dctx.rx = np.reshape(dctx.rx, (-1,))
dctx.rjb = np.reshape(dctx.rjb, (-1,))
dctx.ry0 = np.reshape(dctx.ry0, (-1,))
dctx.rrup = np.reshape(dctx.rrup, (-1,))
# Compute weighted GMPE
iimt = imt.PGV()
stddev_types = [const.StdDev.TOTAL]
mgmpe = mg.MultiGMPE.from_list(gmpes, wts)
lnmu, lnsd = mgmpe.get_mean_and_stddevs(
sctx, rupt, dctx, iimt, stddev_types)
lnmud = np.array(
[3.44828531, 3.49829605, 3.61749432, 3.64343805, 3.7001028,
3.7348924, 3.76927164, 3.78659955, 3.82600784, 3.46635007,
3.53816879, 3.6486898, 3.67058155, 3.72223342, 3.75403094,
3.79315031, 3.79871491, 3.82093027, 3.54889613, 3.57531437,
3.64441687, 3.69915981, 3.74491289, 3.78931599, 3.80957828,
3.80870754, 3.8731021, 3.5927326, 3.60764647, 3.66894024,
3.72148551, 3.75742965, 3.82164661, 3.86341308, 3.87171115,
3.79092594, 3.64153758, 3.61835381, 3.68166249, 3.7338161,
3.82454214, 3.81543928, 3.81507658, 3.80006803, 3.77165695,
3.65178742, 3.71324776, 3.70389969, 3.77034752, 3.78259432,
3.78677497, 3.79838465, 3.79050287, 3.75066018, 3.52883328,
3.67813977, 3.71754876, 3.65520574, 3.69463436, 3.72516445,
3.7457098, 3.74672185, 3.72615784, 3.44535551, 3.61907294,
3.58790363, 3.58068716, 3.61177983, 3.64349327, 3.66698468,
3.67129902, 3.65483002]
)
lnsdd = np.array(
[ 0.63560302, 0.63648101, 0.63610581, 0.6390135 , 0.64203528,
0.64624098, 0.64851812, 0.64640406, 0.64384305, 0.6361429 ,
0.63677975, 0.63715381, 0.64040366, 0.64404005, 0.64782624,
0.6476325 , 0.64509458, 0.64297808, 0.63477576, 0.63727968,
0.63899462, 0.64205578, 0.64604037, 0.64815296, 0.64609948,
0.64402734, 0.63844724, 0.6343891 , 0.63806041, 0.64043609,
0.64406094, 0.64776777, 0.64717195, 0.64297191, 0.64011346,
0.64110084, 0.63137566, 0.63864151, 0.64163093, 0.64588687,
0.64714873, 0.64603694, 0.64397734, 0.64217431, 0.63958323,
0.62883338, 0.63127469, 0.63961477, 0.64097303, 0.6442055 ,
0.64376449, 0.64273526, 0.64112115, 0.63815862, 0.63575399,
0.6291859 , 0.63180644, 0.6394421 , 0.63946545, 0.63947169,
0.63935499, 0.63832598, 0.63664816, 0.63595663, 0.62755689,
0.63523274, 0.63663489, 0.63631586, 0.63616589, 0.63597828,
0.63542126, 0.63500847])
np.testing.assert_allclose(lnmu, lnmud)
np.testing.assert_allclose(lnsd[0], lnsdd)
# Check for exception due to weights:
with pytest.raises(Exception) as a:
wts = [0.25, 0.25, 0.25, 0.25 + 1e-4]
mgmpe = mg.MultiGMPE.from_list(gmpes, wts)
# Check exception on GMPE check
with pytest.raises(Exception) as a:
wts = [1.0]
mgmpe = mg.MultiGMPE.from_list(['BA08'], wts)
# Check exception on tectonic region
with pytest.raises(Exception) as a:
gmpes = [BooreEtAl2014(), Campbell2003()]
wts = [0.5, 0.5]
mgmpe = mg.MultiGMPE.from_list(gmpes, wts)
# Check exception on length of gmpe and weight lenghts
with pytest.raises(Exception) as a:
gmpes = [BooreEtAl2014(), Campbell2003()]
wts = [1.0]
mgmpe = mg.MultiGMPE.from_list(gmpes, wts)
# Check PGV from a GMPE without PGV
gmpes = [Campbell2003()]
wts = [1.0]
mgmpe = mg.MultiGMPE.from_list(gmpes, wts)
lnmu, lnsd = mgmpe.get_mean_and_stddevs(
sctx, rupt, dctx, iimt, stddev_types)
lnmud = np.array(
[ 3.09152212, 3.1524312 , 3.20749883, 3.25431585, 3.29035521,
3.31326677, 3.32116911, 3.31341321, 3.29819842, 3.12252648,
3.18081138, 3.23208034, 3.27383205, 3.30358765, 3.319195 ,
3.31916753, 3.30623521, 3.28938984, 3.15235911, 3.20745205,
3.25429394, 3.29035582, 3.31328548, 3.32119931, 3.31344697,
3.2982328 , 3.27982759, 3.17945026, 3.23203088, 3.2738231 ,
3.30360265, 3.31922869, 3.31921198, 3.30628471, 3.28944133,
3.26955097, 3.18990634, 3.24351181, 3.28521502, 3.31195497,
3.32124956, 3.3135073 , 3.29830033, 3.27989827, 3.25860053,
3.17942778, 3.23201703, 3.27282524, 3.29888607, 3.3078892 ,
3.30156745, 3.2884687 , 3.26964276, 3.24701758, 3.14910673,
3.19888101, 3.23727522, 3.26163304, 3.2701699 , 3.2690822 ,
3.26201491, 3.24919602, 3.23101321, 3.10184816, 3.1475792 ,
3.18259748, 3.20467529, 3.21444387, 3.21832088, 3.21671138,
3.20966263, 3.19737325]
)
lnsdd = np.array(
[ 0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518, 0.83458518, 0.83458518, 0.83458518,
0.83458518, 0.83458518]
)
np.testing.assert_allclose(lnmu, lnmud)
np.testing.assert_allclose(lnsd[0], lnsdd)
def test(vs30file=None):
vs30file = os.path.join(shakedir, 'tests/data/Vs30_test.grd')
cx = -118.2
cy = 34.1
dx = 0.0083
dy = 0.0083
xspan = 0.0083 * 5
yspan = 0.0083 * 5
mysite = Sites.createFromCenter(cx, cy, xspan, yspan, dx, dy,
vs30File=vs30file, padding=True,
resample=False)
grd = mysite.getVs30Grid().getData()
grd_target = np.array(
[[ 409.14199829, 428.24468994, 395.90026855, 426.31658936,
427.53845215, 433.40481567, 436.59918213, 440.43664551,
413.60662842],
[ 423.60855103, 426.64892578, 398.89712524, 428.88549805,
428.78335571, 428.58578491, 430.54354858, 433.59750366,
415.18811035],
[ 391.67398071, 426.20635986, 425.57946777, 428.21954346,
426.06726074, 421.86233521, 423.53192139, 426.25296021,
365.48190308],
[ 385.00396729, 428.14602661, 430.05944824, 429.3427124 ,
426.13626099, 409.76391602, 383.07299805, 372.39117432,
426.48486328],
[ 356.68756104, 432.64077759, 434.55209351, 432.21600342,
395.53771973, 419.31866455, 421.67749023, 426.23449707,
427.32818604],
[ 337.0546875 , 345.14605713, 403.78097534, 385.49118042,
413.04779053, 428.22869873, 427.00268555, 426.8951416 ,
425.62023926],
[ 403.78884888, 336.48217773, 347.82220459, 425.96798706,
432.0640564 , 429.40097046, 427.74179077, 427.00006104,
419.5062561 ],
[ 420.07458496, 330.57504272, 392.33255005, 430.33862305,
432.01391602, 429.43969727, 427.30435181, 425.96151733,
426.15856934]])
np.testing.assert_allclose(grd, grd_target)
sc = mysite.getSitesContext()
scsamp = mysite.sampleFromSites(np.array([34.1, 34.111]),
np.array([-118.2, -118.222]))
xmin = -118.2
xmax = -118.12
ymin = 34.05
ymax = 34.1
dx = 0.0083
dy = 0.0083
mysite = Sites.createFromBounds(xmin, xmax, ymin, ymax, dx, dy,
vs30File=vs30file, padding=False,
resample=False)
grd = mysite.getVs30Grid().getData()
grd_target = np.array(
[[ 426.13626099, 409.76391602, 383.07299805, 372.39117432,
426.48486328, 422.45065308, 417.21685791, 410.43737793,
405.33862305, 400.5239563 , 396.03030396],
[ 395.53771973, 419.31866455, 421.67749023, 426.23449707,
427.32818604, 424.84860229, 415.17590332, 407.5760498 ,
404.54788208, 402.28500366, 398.95913696],
[ 413.04779053, 428.22869873, 427.00268555, 426.8951416 ,
425.62023926, 419.60952759, 411.7961731 , 407.53509521,
406.22122192, 405.31622314, 402.92575073],
[ 432.0640564 , 429.40097046, 427.74179077, 427.00006104,
419.5062561 , 411.10830688, 407.48901367, 406.53305054,
406.59658813, 406.24887085, 406.17044067],
[ 432.01391602, 429.43969727, 427.30435181, 425.96151733,
426.15856934, 427.56121826, 397.67102051, 399.21054077,
404.54968262, 407.18515015, 410.00823975],
[ 426.76913452, 428.86270142, 425.99606323, 423.5692749 ,
423.59835815, 425.92758179, 408.44885254, 406.55810547,
409.06945801, 413.75210571, 417.71130371],
[ 423.1892395 , 427.91104126, 424.53796387, 419.47485352,
418.177948 , 424.14065552, 428.57913208, 432.95300293,
427.77731323, 431.46524048, 442.75540161],
[ 410.56729126, 423.15557861, 424.48355103, 419.27658081,
418.60211182, 423.86721802, 428.06176758, 432.42089844,
438.54446411, 448.37237549, 462.25509644],
[ 405.86877441, 414.27923584, 419.53878784, 396.18017578,
414.54452515, 419.80047607, 425.19824219, 424.48919678,
424.72061157, 431.52270508, 432.84347534]])
np.testing.assert_allclose(grd, grd_target)
def test_distance_from_sites_source():
# Make sites instance
vs30file = os.path.join(shakedir, 'tests/data/Vs30_test.grd')
cx = -118.2
cy = 34.1
dx = 0.0083
dy = 0.0083
xspan = 0.0083 * 5
yspan = 0.0083 * 5
site = Sites.createFromCenter(cx, cy, xspan, yspan, dx, dy,
vs30File=vs30file,
padding=True, resample=False)
# Make souce instance
lat0 = np.array([34.1])
lon0 = np.array([-118.2])
lat1 = np.array([34.2])
lon1 = np.array([-118.15])
z = np.array([1.0])
W = np.array([3.0])
dip = np.array([30.])
flt = Fault.fromTrace(lon0, lat0, lon1, lat1, z, W, dip)
event = {'lat': 34.1, 'lon': -118.2, 'depth': 1, 'mag': 6,
'id': '', 'locstring': '', 'type': 'U',
'time': ShakeDateTime.utcfromtimestamp(int(time.time())),
'timezone': 'UTC'}
source = Source(event, flt)
gmpelist = [AbrahamsonEtAl2014(), BergeThierryEtAl2003SIGMA()]
dists = Distance.fromSites(gmpelist, source, site)
dctx = dists.getDistanceContext()
rhypo = np.array(
[[4.91471497, 4.47602418, 4.13427127, 3.91492565, 3.83902646,
3.91492565, 4.13427127, 4.47602418, 4.91471497],
[4.25968568, 3.74498133, 3.32896405, 3.05225679, 2.95426722,
3.05225679, 3.32896405, 3.74498133, 4.25968568],
[3.7219197, 3.11965436, 2.60558436, 2.24124201, 2.10583262,
2.24124201, 2.60558436, 3.11965436, 3.7219197],
[3.35823105, 2.67523213, 2.05265767, 1.564393, 1.36331682,
1.564393, 2.05265767, 2.67523213, 3.35823105],
[3.22800413, 2.50973226, 1.83166664, 1.26045653, 1.,
1.26045653, 1.83166664, 2.50973226, 3.22800413],
[3.35850726, 2.67542717, 2.05277065, 1.56443006, 1.36331682,
1.56443006, 2.05277065, 2.67542717, 3.35850726],
[3.72241812, 3.11998886, 2.60576236, 2.24129374, 2.10583262,
2.24129374, 2.60576236, 3.11998886, 3.72241812],
[4.26033893, 3.74539929, 3.32917303, 3.05231378, 2.95426722,
3.05231378, 3.32917303, 3.74539929, 4.26033893]]
)
np.testing.assert_allclose(
rhypo, dctx.rhypo, rtol=0, atol=0.01)
rx = np.array(
[[-4.25168879e+00, -3.54281195e+00, -2.83395897e+00,
-2.12512986e+00, -1.41632463e+00, -7.07543303e-01,
1.21411306e-03, 7.09947601e-01, 1.41865714e+00],
[-3.89788718e+00, -3.18894046e+00, -2.48001760e+00,
-1.77111861e+00, -1.06224350e+00, -3.53392295e-01,
3.55434994e-01, 1.06423835e+00, 1.77301777e+00],
[-3.54408550e+00, -2.83506891e+00, -2.12607617e+00,
-1.41710732e+00, -7.08162347e-01, 7.58720005e-04,
7.09655868e-01, 1.41852908e+00, 2.12737835e+00],
[-3.19028373e+00, -2.48119729e+00, -1.77213470e+00,
-1.06309600e+00, -3.54081177e-01, 3.54909735e-01,
1.06387673e+00, 1.77281978e+00, 2.48173889e+00],
[-2.83648190e+00, -2.12732562e+00, -1.41819320e+00,
-7.09084651e-01, 2.56777675e-12, 7.09060743e-01,
1.41809756e+00, 2.12711045e+00, 2.83609938e+00],
[-2.48268001e+00, -1.77345390e+00, -1.06425166e+00,
-3.55073292e-01, 3.54081177e-01, 1.06321174e+00,
1.77231837e+00, 2.48140106e+00, 3.19045980e+00],
[-2.12887807e+00, -1.41958215e+00, -7.10310097e-01,
-1.06192604e-03, 7.08162347e-01, 1.41736271e+00,
2.12653914e+00, 2.83569163e+00, 3.54482016e+00],
[-1.77507608e+00, -1.06571037e+00, -3.56368521e-01,
3.52949440e-01, 1.06224350e+00, 1.77151365e+00,
2.48075986e+00, 3.18998213e+00, 3.89918045e+00]]
)
np.testing.assert_allclose(
rx, dctx.rx, rtol=0, atol=0.01)
rjb = np.array(
[[4.25806540e+00, 3.54812473e+00, 2.83820819e+00,
2.12831587e+00, 1.41844799e+00, 7.08605677e-01,
2.52145001e-03, 2.71336156e-03, 2.81274718e-03],
[3.90373176e+00, 3.19372137e+00, 2.48373511e+00,
1.77377308e+00, 1.06383562e+00, 3.53925643e-01,
2.25816823e-03, 2.45009861e-03, 2.54949398e-03],
[3.54939857e+00, 2.83931844e+00, 2.12926243e+00,
1.41923064e+00, 7.09223517e-01, 1.57594916e-03,
1.86044244e-03, 2.05239165e-03, 2.15179678e-03],
[3.21162971e+00, 2.48510934e+00, 1.77479025e+00,
1.06468863e+00, 3.54611655e-01, 1.04375185e-03,
1.32827303e-03, 1.52024106e-03, 1.61965594e-03],
[3.07587955e+00, 2.30690967e+00, 1.53793979e+00,
7.68969896e-01, 5.88918451e-12, 3.77111295e-04,
6.61660373e-04, 8.53647223e-04, 2.38384209e-01],
[3.21191809e+00, 2.48531877e+00, 1.79442084e+00,
1.20242597e+00, 8.54793253e-01, 5.62052963e-01,
2.69254693e-01, 5.26105100e-05, 5.93270976e-01],
[3.58897017e+00, 2.95646628e+00, 2.40489915e+00,
2.00231070e+00, 1.70958533e+00, 1.41681634e+00,
1.12398937e+00, 8.63761551e-01, 1.08872127e+00],
[4.14172611e+00, 3.60741953e+00, 3.17112489e+00,
2.85711592e+00, 2.56437623e+00, 2.27157856e+00,
1.97872291e+00, 1.78518260e+00, 1.90424524e+00]]
)
np.testing.assert_allclose(
rjb, dctx.rjb, rtol=0, atol=0.01)
ry0 = np.array(
[[0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[3.15917743e-01, 2.29488608e-02, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[1.17233848e+00, 8.79340738e-01, 5.86285075e-01,
2.93171494e-01, 6.20905972e-12, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[2.02875906e+00, 1.73573247e+00, 1.44264795e+00,
1.14950551e+00, 8.56305149e-01, 5.63046877e-01,
2.69730699e-01, 0.00000000e+00, 0.00000000e+00],
[2.88517947e+00, 2.59212404e+00, 2.29901067e+00,
2.00583937e+00, 1.71261015e+00, 1.41932302e+00,
1.12597797e+00, 8.32575011e-01, 5.39114157e-01],
[3.74159969e+00, 3.44851542e+00, 3.15537321e+00,
2.86217307e+00, 2.56891499e+00, 2.27559900e+00,
1.98222508e+00, 1.68879326e+00, 1.39530352e+00]]
)
np.testing.assert_allclose(
ry0, dctx.ry0, rtol=0, atol=0.01)
rrup = np.array(
[[4.37398161, 3.68659567, 3.00969158, 2.35231374, 1.73674834,
1.22755262, 1.0025215, 1.22371894, 1.57836451],
[4.02976949, 3.34678672, 2.67788811, 2.03697073, 1.46129187,
1.06271102, 1.06352692, 1.40073832, 1.75541869],
[3.68743926, 3.01030105, 2.3526499, 1.73673635, 1.22706347,
1.00157564, 1.22283363, 1.57764099, 1.93235615],
[3.3634728, 2.67858182, 2.03712377, 1.46095502, 1.06170931,
1.06220616, 1.39958479, 1.75442695, 2.1091769],
[3.23412325, 2.51415965, 1.8343632, 1.26143652, 1.,
1.2212501, 1.57621925, 1.9310962, 2.28588093],
[3.36374812, 2.67877609, 2.05412785, 1.56384179, 1.3617346,
1.50608502, 1.77308319, 2.10764873, 2.46246823],
[3.72541099, 3.12078859, 2.6043486, 2.23799413, 2.09885629,
2.11696797, 2.23191013, 2.4299612, 2.69282837],
[4.26042286, 3.74318473, 3.32482368, 3.04635272, 2.9183523,
2.86659485, 2.88815116, 2.98141559, 3.13998993]]
)
np.testing.assert_allclose(
rrup, dctx.rrup, rtol=0, atol=0.01)
def test_distance_no_fault():
# Make sites instance
vs30file = os.path.join(shakedir, 'tests/data/Vs30_test.grd')
cx = -118.2
cy = 34.1
dx = 0.0083
dy = 0.0083
xspan = 0.0083 * 5
yspan = 0.0083 * 5
site = Sites.createFromCenter(cx, cy, xspan, yspan, dx, dy,
vs30File=vs30file,
padding=True, resample=False)
# Make souce instance
# - Unknown/no tectonic region
# - Mech is ALL
event = {'lat': 34.1, 'lon': -118.2, 'depth': 1, 'mag': 6,
'id': '', 'locstring': '',
'time': ShakeDateTime.utcfromtimestamp(int(time.time())),
'timezone': 'UTC'}
source = Source(event)
source.setMechanism('ALL')
gmpe = AbrahamsonEtAl2014()
dists = Distance.fromSites(gmpe, source, site)
dctx = dists.getDistanceContext()
rjb = np.array(
[[1.69885399, 1.43717125, 1.2401229, 1.12306082, 1.08344161,
1.12306082, 1.2401229, 1.43717125, 1.69885399],
[1.31170897, 1.03475736, 0.82507289, 0.69891123, 0.6553167,
0.69891123, 0.82507289, 1.03475736, 1.31170897],
[1.02288894, 0.72918893, 0.50725874, 0.36675284, 0.31957002,
0.36675284, 0.50725874, 0.72918893, 1.02288894],
[0.83950888, 0.53487557, 0.30135487, 0.14776055, 0.09290799,
0.14776055, 0.30135487, 0.53487557, 0.83950888],
[0.77835253, 0.46963915, 0.2280053, 0.06643829, 0.,
0.06643829, 0.2280053, 0.46963915, 0.77835253],
[0.83964536, 0.53495323, 0.30139344, 0.14777086, 0.09290799,
0.14777086, 0.30139344, 0.53495323, 0.83964536],
[1.02314515, 0.72933979, 0.50732902, 0.36677229, 0.31957002,
0.36677229, 0.50732902, 0.72933979, 1.02314515],
[1.31208408, 1.03497272, 0.82517579, 0.69893672, 0.6553167,
0.69893672, 0.82517579, 1.03497272, 1.31208408]]
)
np.testing.assert_allclose(
rjb, dctx.rjb, rtol=0, atol=0.01)
rrup = np.array(
[[8.55244227, 8.44386675, 8.30721612, 8.28522381, 8.27615555,
8.28522381, 8.30721612, 8.44386675, 8.55244227],
[8.36298714, 8.26004043, 8.11921658, 8.11376473, 8.09579991,
8.11376473, 8.11921658, 8.26004043, 8.36298714],
[8.25524589, 8.12023764, 8.01816823, 7.93517669, 7.9600631,
7.93517669, 8.01816823, 8.12023764, 8.25524589],
[8.13306689, 8.00702434, 7.95888951, 7.8881565, 7.88352525,
7.8881565, 7.95888951, 8.00702434, 8.13306689],
[8.12102175, 8.02022568, 7.90722113, 7.85639147, 0.,
7.85639147, 7.90722113, 8.02022568, 8.12102175],
[8.13319461, 8.00698213, 7.95890141, 7.88813785, 7.88352525,
7.88813785, 7.95890141, 8.00698213, 8.13319461],
[8.25535307, 8.12025813, 8.01814988, 7.93520725, 7.9600631,
7.93520725, 8.01814988, 8.12025813, 8.25535307],
[8.36326021, 8.26012423, 8.11931772, 8.1137722, 8.09579991,
8.1137722, 8.11931772, 8.26012423, 8.36326021]]
)
np.testing.assert_allclose(
rrup, dctx.rrup, rtol=0, atol=0.01)
# Souce instance
# - Tectonic region: active
# - Mech is ALL
source.setMechanism('ALL')
source._tectonic_region = 'Active Shallow Crust'
dists = Distance.fromSites(gmpe, source, site)
dctx = dists.getDistanceContext()
rjb = np.array(
[[1.7826962, 1.5154877, 1.31394288, 1.19278311, 1.15168205,
1.19278311, 1.31394288, 1.5154877, 1.7826962],
[1.38719993, 1.10115976, 0.88331216, 0.75077594, 0.70491937,
0.75077594, 0.88331216, 1.10115976, 1.38719993],
[1.08884025, 0.78261273, 0.54865189, 0.39914713, 0.34852149,
0.39914713, 0.54865189, 0.78261273, 1.08884025],
[0.8983245, 0.57800579, 0.32895654, 0.16294131, 0.10290794,
0.16294131, 0.32895654, 0.57800579, 0.8983245],
[0.83428851, 0.50865092, 0.25000954, 0.07371315, 0.,
0.07371315, 0.25000954, 0.50865092, 0.83428851],
[0.89846642, 0.57808833, 0.32899797, 0.16295256, 0.10290794,
0.16295256, 0.32899797, 0.57808833, 0.89846642],
[1.08910622, 0.78277133, 0.5487266, 0.39916785, 0.34852149,
0.39916785, 0.5487266, 0.78277133, 1.08910622],
[1.38758368, 1.10138329, 0.88341918, 0.75080275, 0.70491937,
0.75080275, 0.88341918, 1.10138329, 1.38758368]]
)
np.testing.assert_allclose(
rjb, dctx.rjb, rtol=0, atol=0.01)
rrup = np.array(
[[9.0098969, 8.90622877, 8.76985073, 8.7508322, 8.74262729,
8.7508322, 8.76985073, 8.90622877, 9.0098969],
[8.82590475, 8.72726953, 8.58534811, 8.58323541, 8.5654409,
8.58323541, 8.58534811, 8.72726953, 8.82590475],
[8.72260676, 8.58922774, 8.4871601, 8.40244887, 8.4297141,
8.40244887, 8.4871601, 8.58922774, 8.72260676],
[8.59952763, 8.47470803, 8.42880892, 8.35631312, 8.35201539,
8.35631312, 8.42880892, 8.47470803, 8.59952763],
[8.58864463, 8.49021276, 8.37536496, 8.32350188, 0.,
8.32350188, 8.37536496, 8.49021276, 8.58864463],
[8.59965826, 8.47466149, 8.42882081, 8.35629324, 8.35201539,
8.35629324, 8.42882081, 8.47466149, 8.59965826],
[8.72271133, 8.58924512, 8.48713903, 8.4024808, 8.4297141,
8.4024808, 8.48713903, 8.58924512, 8.72271133],
[8.8261781, 8.72735075, 8.58545174, 8.5832426, 8.5654409,
8.5832426, 8.58545174, 8.72735075, 8.8261781]]
)
np.testing.assert_allclose(
rrup, dctx.rrup, rtol=0, atol=0.01)
# Souce instance
# - Tectonic region: active
# - Mech is RS
source.setMechanism('RS')
source._tectonic_region = 'Active Shallow Crust'
dists = Distance.fromSites(gmpe, source, site)
dctx = dists.getDistanceContext()
rjb = np.array(
[[1.62698377, 1.35570722, 1.15237308, 1.03338675, 0.99327828,
1.03338675, 1.15237308, 1.35570722, 1.62698377],
[1.22613799, 0.94405696, 0.73298036, 0.61025288, 0.56806407,
0.61025288, 0.73298036, 0.94405696, 1.22613799],
[0.93206877, 0.63960501, 0.42680989, 0.29738908, 0.25562246,
0.29738908, 0.42680989, 0.63960501, 0.93206877],
[0.74745861, 0.45239173, 0.23958848, 0.10874248, 0.06508855,
0.10874248, 0.23958848, 0.45239173, 0.74745861],
[0.68734787, 0.39203111, 0.17571632, 0.04480241, 0.,
0.04480241, 0.17571632, 0.39203111, 0.68734787],
[0.74759552, 0.45246373, 0.2396224, 0.1087508, 0.06508855,
0.1087508, 0.2396224, 0.45246373, 0.74759552],
[0.93232753, 0.63975135, 0.42687494, 0.29740691, 0.25562246,
0.29740691, 0.42687494, 0.63975135, 0.93232753],
[1.22652484, 0.94427453, 0.73308353, 0.61027758, 0.56806407,
0.61027758, 0.73308353, 0.94427453, 1.22652484]]
)
np.testing.assert_allclose(
rjb, dctx.rjb, rtol=0, atol=0.01)
rrup = np.array(
[[9.10924586, 9.00129817, 8.86119702, 8.8412603, 8.83276567,
8.8412603, 8.86119702, 9.00129817, 9.10924586],
[8.91865949, 8.81700098, 8.67259556, 8.6707467, 8.65288076,
8.6707467, 8.67259556, 8.81700098, 8.91865949],
[8.81223015, 8.67672238, 8.57444747, 8.49014736, 8.5183922,
8.49014736, 8.57444747, 8.67672238, 8.81223015],
[8.68698864, 8.56159881, 8.51774523, 8.44708824, 8.44391005,
8.44708824, 8.51774523, 8.56159881, 8.68698864],
[8.67600489, 8.57788943, 8.46484058, 8.41567031, 0.,
8.41567031, 8.46484058, 8.57788943, 8.67600489],
[8.68712127, 8.56155103, 8.51775668, 8.44706792, 8.44391005,
8.44706792, 8.51775668, 8.56155103, 8.68712127],
[8.81233708, 8.67673955, 8.5744255, 8.49017946, 8.5183922,
8.49017946, 8.5744255, 8.67673955, 8.81233708],
[8.91894005, 8.81708413, 8.67270074, 8.67075389, 8.65288076,
8.67075389, 8.67270074, 8.81708413, 8.91894005]]
)
np.testing.assert_allclose(
rrup, dctx.rrup, rtol=0, atol=0.01)
# Souce instance
# - Tectonic region: active
# - Mech is NM
source.setMechanism('NM')
source._tectonic_region = 'Active Shallow Crust'
dists = Distance.fromSites(gmpe, source, site)
dctx = dists.getDistanceContext()
rjb = np.array(
[[1.37668217, 1.14221705, 0.96668127, 0.86561026, 0.8316382,
0.86561026, 0.96668127, 1.14221705, 1.37668217],
[1.03033842, 0.7899535, 0.61128249, 0.50843465, 0.47310349,
0.50843465, 0.61128249, 0.7899535, 1.03033842],
[0.77980196, 0.53301769, 0.35495992, 0.24706995, 0.21231668,
0.24706995, 0.35495992, 0.53301769, 0.77980196],
[0.62353293, 0.37628889, 0.19897762, 0.09028387, 0.05409271,
0.09028387, 0.19897762, 0.37628889, 0.62353293],
[0.57300663, 0.32596438, 0.14586493, 0.03728933, 0.,
0.03728933, 0.14586493, 0.32596438, 0.57300663],
[0.62364878, 0.37634892, 0.19900584, 0.09029076, 0.05409271,
0.09029076, 0.19900584, 0.37634892, 0.62364878],
[0.78002107, 0.53314026, 0.35501415, 0.24708481, 0.21231668,
0.24708481, 0.35501415, 0.53314026, 0.78002107],
[1.03067234, 0.79013775, 0.61136979, 0.50845534, 0.47310349,
0.50845534, 0.61136979, 0.79013775, 1.03067234]]
)
np.testing.assert_allclose(
rjb, dctx.rjb, rtol=0, atol=0.01)
rrup = np.array(
[[8.24181179, 8.13246903, 7.99744833, 7.97427973, 7.96488994,
7.97427973, 7.99744833, 8.13246903, 8.24181179],
[8.0523808, 7.94857792, 7.8097532, 7.80275055, 7.78489184,
7.80275055, 7.8097532, 7.94857792, 8.0523808],
[7.94376991, 7.80938707, 7.70839546, 7.62713392, 7.65061937,
7.62713392, 7.70839546, 7.80938707, 7.94376991],
[7.82330022, 7.69799123, 7.64933048, 7.58013644, 7.57530397,
7.58013644, 7.64933048, 7.69799123, 7.82330022],
[7.81082127, 7.7099614, 7.59905656, 7.54904995, 0.,
7.54904995, 7.59905656, 7.7099614, 7.81082127],
[7.8234252, 7.69795153, 7.64934225, 7.58011859, 7.57530397,
7.58011859, 7.64934225, 7.69795153, 7.8234252],
[7.94387723, 7.80940883, 7.70837861, 7.62716348, 7.65061937,
7.62716348, 7.70837861, 7.80940883, 7.94387723],
[8.05265024, 7.94866209, 7.80985208, 7.80275807, 7.78489184,
7.80275807, 7.80985208, 7.94866209, 8.05265024]]
)
np.testing.assert_allclose(
rrup, dctx.rrup, rtol=0, atol=0.01)
# Souce instance
# - Tectonic region: active
# - Mech is SS
source.setMechanism('SS')
source._tectonic_region = 'Active Shallow Crust'
dists = Distance.fromSites(gmpe, source, site)
dctx = dists.getDistanceContext()
rjb = np.array(
[[2.87579088, 2.5456044, 2.29185071, 2.12884849, 2.07268393,
2.12884849, 2.29185071, 2.5456044, 2.87579088],
[2.38460904, 2.00333625, 1.69987873, 1.49778447, 1.42682201,
1.49778447, 1.69987873, 2.00333625, 2.38460904],
[1.98637252, 1.54679373, 1.17582687, 0.914992, 0.81812345,
0.914992, 1.17582687, 1.54679373, 1.98637252],
[1.72104847, 1.22626178, 0.78021345, 0.43426687, 0.29180829,
0.43426687, 0.78021345, 1.22626178, 1.72104847],
[1.62592524, 1.10672645, 0.62338097, 0.21787328, 0.,
0.21787328, 0.62338097, 1.10672645, 1.62592524],
[1.72124839, 1.22640328, 0.7802939, 0.43429295, 0.29180829,
0.43429295, 0.7802939, 1.22640328, 1.72124839],
[1.98673898, 1.54703738, 1.17595553, 0.9150287, 0.81812345,
0.9150287, 1.17595553, 1.54703738, 1.98673898],
[2.3850933, 2.00364385, 1.7000298, 1.49782584, 1.42682201,
1.49782584, 1.7000298, 2.00364385, 2.3850933]]
)
np.testing.assert_allclose(
rjb, dctx.rjb, rtol=0, atol=0.01)
rrup = np.array(
[[8.37718818, 8.22723595, 8.0625333, 8.01740393, 8.00044835,
8.01740393, 8.0625333, 8.22723595, 8.37718818],
[8.12814884, 7.97494557, 7.79806013, 7.76281765, 7.735536,
7.76281765, 7.79806013, 7.97494557, 8.12814884],
[7.96791548, 7.77614524, 7.62644695, 7.5120851, 7.52225031,
7.5120851, 7.62644695, 7.77614524, 7.96791548],
[7.81413881, 7.62326525, 7.51608628, 7.40624352, 7.38577101,
7.40624352, 7.51608628, 7.62326525, 7.81413881],
[7.78868149, 7.61851685, 7.44728324, 7.35263272, 0.,
7.35263272, 7.44728324, 7.61851685, 7.78868149],
[7.81428779, 7.62324614, 7.51610811, 7.40622914, 7.38577101,
7.40622914, 7.51610811, 7.62324614, 7.81428779],
[7.96807069, 7.77620063, 7.62644821, 7.51211876, 7.52225031,
7.51211876, 7.62644821, 7.77620063, 7.96807069],
[8.12847458, 7.97507013, 7.798177, 7.76283076, 7.735536,
7.76283076, 7.798177, 7.97507013, 8.12847458]]
)
np.testing.assert_allclose(
rrup, dctx.rrup, rtol=0, atol=0.01)
# Souce instance
# - Tectonic region: stable
# - Mech is all
source.setMechanism('ALL')
source._tectonic_region = 'Stable Shallow Crust'
dists = Distance.fromSites(gmpe, source, site)
dctx = dists.getDistanceContext()
rjb = np.array(
[[2.03925124, 1.73155737, 1.4995708, 1.36023359, 1.3129796,
1.36023359, 1.4995708, 1.73155737, 2.03925124],
[1.58388219, 1.25490086, 1.00456938, 0.85266727, 0.80013341,
0.85266727, 1.00456938, 1.25490086, 1.58388219],
[1.24073997, 0.8891456, 0.621322, 0.4507253, 0.39310934,
0.4507253, 0.621322, 0.8891456, 1.24073997],
[1.02181451, 0.65483395, 0.37085259, 0.18246645, 0.11472522,
0.18246645, 0.37085259, 0.65483395, 1.02181451],
[0.94836452, 0.57566287, 0.28111922, 0.08186392, 0.,
0.08186392, 0.28111922, 0.57566287, 0.94836452],
[1.02197754, 0.65492818, 0.37089972, 0.18247916, 0.11472522,
0.18247916, 0.37089972, 0.65492818, 1.02197754],
[1.24104568, 0.88932733, 0.62140729, 0.45074894, 0.39310934,
0.45074894, 0.62140729, 0.88932733, 1.24104568],
[1.58432388, 1.2551578, 1.00469232, 0.85269799, 0.80013341,
0.85269799, 1.00469232, 1.2551578, 1.58432388]]
)
np.testing.assert_allclose(
rjb, dctx.rjb, rtol=0, atol=0.01)
rrup = np.array(
[[6.77027261, 6.6175234, 6.4620818, 6.41487409, 6.39777405,
6.41487409, 6.4620818, 6.6175234, 6.77027261],
[6.52306411, 6.37308879, 6.21401632, 6.17868645, 6.15460391,
6.17868645, 6.21401632, 6.37308879, 6.52306411],
[6.36643129, 6.19096821, 6.06108712, 5.96682577, 5.97487576,
5.96682577, 6.06108712, 6.19096821, 6.36643129],
[6.22803711, 6.05926472, 5.97000316, 5.88510619, 5.87109182,
5.88510619, 5.97000316, 6.05926472, 6.22803711],
[6.2037114, 6.05384337, 5.91573235, 5.84608701, 0.,
5.84608701, 5.91573235, 6.05384337, 6.2037114],
[6.22816728, 6.05925153, 5.97002045, 5.88509436, 5.87109182,
5.88509436, 5.97002045, 6.05925153, 6.22816728],
[6.36657773, 6.1910207, 6.0610899, 5.96685295, 5.97487576,
5.96685295, 6.0610899, 6.1910207, 6.36657773],
[6.52336953, 6.37320723, 6.21411804, 6.17869829, 6.15460391,
6.17869829, 6.21411804, 6.37320723, 6.52336953]]
)
np.testing.assert_allclose(
rrup, dctx.rrup, rtol=0, atol=0.01)
# Souce instance
# - Tectonic region: stable
# - Mech is RS
source.setMechanism('RS')
source._tectonic_region = 'Stable Shallow Crust'
dists = Distance.fromSites(gmpe, source, site)
dctx = dists.getDistanceContext()
rjb = np.array(
[[1.82771374, 1.52643611, 1.30046931, 1.16760601, 1.12277703,
1.16760601, 1.30046931, 1.52643611, 1.82771374],
[1.38246113, 1.06775489, 0.83169032, 0.69344486, 0.645892,
0.69344486, 0.83169032, 1.06775489, 1.38246113],
[1.05435251, 0.72652464, 0.48639585, 0.33959401, 0.2920419,
0.33959401, 0.48639585, 0.72652464, 1.05435251],
[0.84788911, 0.51540522, 0.27378007, 0.12450057, 0.07451822,
0.12450057, 0.27378007, 0.51540522, 0.84788911],
[0.78032378, 0.44695345, 0.20099496, 0.05123817, 0.,
0.05123817, 0.20099496, 0.44695345, 0.78032378],
[0.84804229, 0.51548687, 0.2738187, 0.12451008, 0.07451822,
0.12451008, 0.2738187, 0.51548687, 0.84804229],
[1.0546418, 0.72668956, 0.48646962, 0.33961424, 0.2920419,
0.33961424, 0.48646962, 0.72668956, 1.0546418],
[1.38289108, 1.06799812, 0.83180576, 0.6934727, 0.645892,
0.6934727, 0.83180576, 1.06799812, 1.38289108]]
)
np.testing.assert_allclose(
rjb, dctx.rjb, rtol=0, atol=0.01)
rrup = np.array(
[[6.73175745, 6.58096329, 6.42717448, 6.38198779, 6.36563579,
6.38198779, 6.42717448, 6.58096329, 6.73175745],
[6.48753618, 6.34187696, 6.18689857, 6.15537676, 6.13263668,
6.15537676, 6.18689857, 6.34187696, 6.48753618],
[6.33544657, 6.1667275, 6.04409157, 5.9555343, 5.96586226,
5.9555343, 6.04409157, 6.1667275, 6.33544657],
[6.20063145, 6.04113522, 5.96186983, 5.88482917, 5.87387645,
5.88482917, 5.96186983, 6.04113522, 6.20063145],
[6.17796118, 6.03838637, 5.91117189, 5.85034216, 0.,
5.85034216, 5.91117189, 6.03838637, 6.17796118],
[6.20075891, 6.04111884, 5.96188527, 5.88481675, 5.87387645,
5.88481675, 5.96188527, 6.04111884, 6.20075891],
[6.3355881, 6.16677535, 6.04409147, 5.9555607, 5.96586226,
5.9555607, 6.04409147, 6.16677535, 6.3355881],
[6.48783842, 6.34199129, 6.18699823, 6.15538781, 6.13263668,
6.15538781, 6.18699823, 6.34199129, 6.48783842]]
)
np.testing.assert_allclose(
rrup, dctx.rrup, rtol=0, atol=0.01)
# Souce instance
# - Tectonic region: stable
# - Mech is NM
source.setMechanism('NM')
source._tectonic_region = 'Stable Shallow Crust'
dists = Distance.fromSites(gmpe, source, site)
dctx = dists.getDistanceContext()
rjb = np.array(
[[1.90163976, 1.59090426, 1.35772802, 1.21975997, 1.17315714,
1.21975997, 1.35772802, 1.59090426, 1.90163976],
[1.44234875, 1.11595412, 0.87047978, 0.72608143, 0.6763976,
0.72608143, 0.87047978, 1.11595412, 1.44234875],
[1.10201987, 0.7606424, 0.50965507, 0.35594865, 0.30612448,
0.35594865, 0.50965507, 0.7606424, 1.10201987],
[0.88732736, 0.5400275, 0.28698884, 0.13052973, 0.0781228,
0.13052973, 0.28698884, 0.5400275, 0.88732736],
[0.81684854, 0.46835876, 0.21071547, 0.05370847, 0.,
0.05370847, 0.21071547, 0.46835876, 0.81684854],
[0.88748668, 0.54011298, 0.28702933, 0.1305397, 0.0781228,
0.1305397, 0.28702933, 0.54011298, 0.88748668],
[1.10232064, 0.76081471, 0.50973231, 0.35596982, 0.30612448,
0.35596982, 0.50973231, 0.76081471, 1.10232064],
[1.44279245, 1.116207, 0.87059985, 0.72611052, 0.6763976,
0.72611052, 0.87059985, 1.116207, 1.44279245]]
)
np.testing.assert_allclose(
rjb, dctx.rjb, rtol=0, atol=0.01)
rrup = np.array(
[[6.51552789, 6.35105562, 6.18910077, 6.13678714, 6.11808742,
6.13678714, 6.18910077, 6.35105562, 6.51552789],
[6.25219098, 6.09163676, 5.92783781, 5.88815939, 5.8632258,
5.88815939, 5.92783781, 6.09163676, 6.25219098],
[6.08458377, 5.9012656, 5.76798442, 5.67370059, 5.68021406,
5.67370059, 5.76798442, 5.9012656, 6.08458377],
[5.9420166, 5.76720934, 5.67516593, 5.59187321, 5.57813972,
5.59187321, 5.67516593, 5.76720934, 5.9420166],
[5.91572554, 5.75981247, 5.62205686, 5.55427369, 0.,
5.55427369, 5.62205686, 5.75981247, 5.91572554],
[5.9421484, 5.76719951, 5.67518325, 5.59186206, 5.57813972,
5.59186206, 5.67518325, 5.76719951, 5.9421484],
[6.0847386, 5.90132265, 5.76798949, 5.67372705, 5.68021406,
5.67372705, 5.76798949, 5.90132265, 6.0847386],
[6.25250826, 6.09176251, 5.92794056, 5.88817184, 5.8632258,
5.88817184, 5.92794056, 6.09176251, 6.25250826]]
)
np.testing.assert_allclose(
rrup, dctx.rrup, rtol=0, atol=0.01)
# Souce instance
# - Tectonic region: stable
# - Mech is SS
source.setMechanism('SS')
source._tectonic_region = 'Stable Shallow Crust'
dists = Distance.fromSites(gmpe, source, site)
dctx = dists.getDistanceContext()
rjb = np.array(
[[2.72873417, 2.37144886, 2.09954885, 1.92851977, 1.86995227,
1.92851977, 2.09954885, 2.37144886, 2.72873417],
[2.19864742, 1.7978181, 1.48474703, 1.28392745, 1.21396452,
1.28392745, 1.48474703, 1.7978181, 2.19864742],
[1.78020402, 1.3323943, 0.97123526, 0.72919945, 0.64364445,
0.72919945, 0.97123526, 1.3323943, 1.78020402],
[1.5064397, 1.01846151, 0.61039475, 0.3191157, 0.20751973,
0.3191157, 0.61039475, 1.01846151, 1.5064397],
[1.41089093, 0.90673813, 0.47477623, 0.15160737, 0.,
0.15160737, 0.47477623, 0.90673813, 1.41089093],
[1.50664467, 1.01859418, 0.61046522, 0.3191364, 0.20751973,
0.3191364, 0.61046522, 1.01859418, 1.50664467],
[1.7805844, 1.33263554, 0.97135557, 0.72923321, 0.64364445,
0.72923321, 0.97135557, 1.33263554, 1.7805844],
[2.1991657, 1.79813761, 1.48490175, 1.28396831, 1.21396452,
1.28396831, 1.48490175, 1.79813761, 2.1991657]]
)
np.testing.assert_allclose(
rjb, dctx.rjb, rtol=0, atol=0.01)
rrup = np.array(
[[5.84874652, 5.62706324, 5.42929028, 5.34392626, 5.31406828,
5.34392626, 5.42929028, 5.62706324, 5.84874652],
[5.50458234, 5.27459324, 5.06456452, 4.9821571, 4.94467172,
4.9821571, 5.06456452, 5.27459324, 5.50458234],
[5.26448475, 5.00483041, 4.80820132, 4.67381918, 4.65867853,
4.67381918, 4.80820132, 5.00483041, 5.26448475],
[5.08135199, 4.81923672, 4.64680257, 4.514164, 4.47986499,
4.514164, 4.64680257, 4.81923672, 5.08135199],
[5.03620112, 4.78581905, 4.57286829, 4.44979468, 0.,
4.44979468, 4.57286829, 4.78581905, 5.03620112],
[5.0815089, 4.81926166, 4.64683299, 4.51415954, 4.47986499,
4.51415954, 4.64683299, 4.81926166, 5.0815089],
[5.26470503, 5.00493679, 4.80823501, 4.67384847, 4.65867853,
4.67384847, 4.80823501, 5.00493679, 5.26470503],
[5.5049661, 5.27477487, 5.06468553, 4.98217732, 4.94467172,
4.98217732, 5.06468553, 5.27477487, 5.5049661]]
)
np.testing.assert_allclose(
rrup, dctx.rrup, rtol=0, atol=0.01)
