def _get_time_segments(starttime, endtime, minmag):
if starttime is None:
starttime = HistoricTime.utcnow() - timedelta(days=30)
if endtime is None:
endtime = HistoricTime.utcnow()
# earthquake frequency table: minmag:earthquakes per day
freq_table = {0: 3000 / 7,
1: 3500 / 14,
2: 3000 / 18,
3: 4000 / 59,
4: 9000 / 151,
5: 3000 / 365,
6: 210 / 365,
7: 20 / 365,
8: 5 / 365,
9: 0.05 / 365}
floormag = int(np.floor(minmag))
ndays = (endtime - starttime).days + 1
freq = freq_table[floormag]
nsegments = int(np.ceil((freq * ndays) / SEARCH_LIMIT))
days_per_segment = int(np.ceil(ndays / nsegments))
segments = []
startseg = starttime
endseg = starttime
while startseg <= endtime:
endseg = min(endtime, startseg + timedelta(days_per_segment))
segments.append((startseg, endseg))
startseg += timedelta(days=days_per_segment, microseconds=1)
return segments
def test_rupture_from_dict():
# Grab an EdgeRupture
origin = Origin({
'id': 'test',
'lat': 0,
'lon': 0,
'depth': 5.0,
'mag': 7.0,
'netid': 'us',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
file = os.path.join(homedir, 'rupture_data/cascadia.json')
rup_original = get_rupture(origin, file)
d = rup_original._geojson
rup_from_dict = rupture_from_dict(d)
assert rup_from_dict._mesh_dx == 0.5
# Specify mesh_dx
rup_original = get_rupture(origin, file, mesh_dx=1.0)
d = rup_original._geojson
rup_from_dict = rupture_from_dict(d)
assert rup_from_dict._mesh_dx == 1.0
# Quad rupture
file = os.path.join(homedir, 'rupture_data/izmit.json')
rup_original = get_rupture(origin, file)
d = rup_original._geojson
rup_from_dict = rupture_from_dict(d)
assert rup_from_dict.getArea() == rup_original.getArea()
# Note, there's a bit of an inconsistency highlighted here because
# magnitude has key 'magnitude' in the izmit file, but 'mag' in
# the origin and both get retained.
# Point rupture
origin = Origin({
'id': 'test',
'lon': -122.5,
'lat': 37.3,
'depth': 5.0,
'mag': 7.0,
'netid': 'us',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
rup_original = get_rupture(origin)
d = rup_original._geojson
rup_from_dict = rupture_from_dict(d)
assert rup_from_dict.lats == 37.3
assert rup_from_dict.lons == -122.5
def maketime(timestring):
outtime = None
try:
outtime = HistoricTime.strptime(timestring, TIMEFMT1)
except Exception:
try:
outtime = HistoricTime.strptime(timestring, TIMEFMT2)
except Exception:
try:
outtime = HistoricTime.strptime(timestring, DATEFMT)
except Exception:
raise Exception("Could not parse time or date from %s" % timestring)
return outtime
def maketime(timestring):
outtime = None
try:
outtime = HistoricTime.strptime(timestring,TIMEFMT1)
except:
try:
outtime = HistoricTime.strptime(timestring,TIMEFMT2)
except:
try:
outtime = HistoricTime.strptime(timestring,DATEFMT)
except:
raise Exception('Could not parse time or date from %s' % timestring)
return outtime
def test_slip():
# Rupture requires an origin even when not used:
origin = Origin({
'id': 'test',
'lon': 0,
'lat': 0,
'depth': 5.0,
'mag': 7.0,
'netid': 'us',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
# Make a rupture
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.])
rup = QuadRupture.fromTrace(lon0, lat0, lon1, lat1, z, W, dip, origin)
slp = get_quad_slip(rup.getQuadrilaterals()[0], 30).getArray()
slpd = np.array([0.80816457, 0.25350787, 0.53160491])
np.testing.assert_allclose(slp, slpd)
slp = get_local_unit_slip_vector(22, 30, 86).getArray()
slpd = np.array([0.82714003, 0.38830563, 0.49878203])
np.testing.assert_allclose(slp, slpd)
def rupture_from_dict(d):
"""
Method returns either a Rupture subclass (QuadRupture, EdgeRupture, or
PointRupture) object based on a GeoJSON dictionary.
.. seealso::
:func:`rupture_from_dict_and_origin`
Args:
d (dict):
Rupture GeoJSON dictionary, which must contain origin
information in the 'metadata' field.
Returns:
a Rupture subclass.
"""
validate_json(d)
# We don't want to mess with the input just in case it gets used again
d = copy.deepcopy(d)
try:
d['metadata']['time'] = HistoricTime.strptime(d['metadata']['time'],
constants.TIMEFMT)
except ValueError:
d['metadata']['time'] = HistoricTime.strptime(d['metadata']['time'],
constants.ALT_TIMEFMT)
origin = Origin(d['metadata'])
# What type of rupture is this?
geo_type = d['features'][0]['geometry']['type']
if geo_type == 'MultiPolygon':
valid_quads = is_quadrupture_class(d)
if valid_quads is True:
rupt = QuadRupture(d, origin)
elif 'mesh_dx' in d['metadata']:
# EdgeRupture will have 'mesh_dx' in metadata
mesh_dx = d['metadata']['mesh_dx']
rupt = EdgeRupture(d, origin, mesh_dx=mesh_dx)
else:
raise ValueError('Invalid rupture dictionary.')
elif geo_type == 'Point':
rupt = PointRupture(origin)
return rupt
def test_slip():
# Rupture requires an origin even when not used:
origin = Origin({
'id': 'test',
'lon': 0,
'lat': 0,
'depth': 5.0,
'mag': 7.0,
'netid': 'us',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
# Make a rupture
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.])
rup = QuadRupture.fromTrace(lon0, lat0, lon1, lat1, z, W, dip, origin)
slp = get_quad_slip(rup.getQuadrilaterals()[0], 30).getArray()
slpd = np.array([0.80816457, 0.25350787, 0.53160491])
np.testing.assert_allclose(slp, slpd)
slp = get_quad_strike_vector(rup.getQuadrilaterals()[0]).getArray()
slpd = np.array([0.58311969, 0.27569625, 0.76417472])
np.testing.assert_allclose(slp, slpd)
slp = get_quad_down_dip_vector(rup.getQuadrilaterals()[0]).getArray()
slpd = np.array([0.81219873, -0.17763484, -0.55567895])
np.testing.assert_allclose(slp, slpd)
slp = get_local_unit_slip_vector(22, 30, 86).getArray()
slpd = np.array([0.82714003, 0.38830563, 0.49878203])
np.testing.assert_allclose(slp, slpd)
slp = get_local_unit_slip_vector_DS(22, 30, -86).getArray()
slpd = np.array([-0.80100879, -0.32362856, -0.49878203])
np.testing.assert_allclose(slp, slpd)
slp = get_local_unit_slip_vector_SS(22, 80, 5).getArray()
slpd = np.array([0.3731811, 0.92365564, 0.])
np.testing.assert_allclose(slp, slpd)
mech = rake_to_mech(-160)
assert mech == 'SS'
mech = rake_to_mech(0)
assert mech == 'SS'
mech = rake_to_mech(160)
assert mech == 'SS'
mech = rake_to_mech(-80)
assert mech == 'NM'
mech = rake_to_mech(80)
assert mech == 'RS'
def test_ss3_m4p5():
magnitude = 4.5
dip = np.array([90])
rake = 180.0
width = np.array([15])
rupx = np.array([0, 0])
rupy = np.array([0, 80])
zp = np.array([0])
epix = np.array([0])
epiy = np.array([0.2 * rupy[1]])
# Convert to lat/lon
proj = OrthographicProjection(-122, -120, 39, 37)
tlon, tlat = proj(rupx, rupy, reverse=True)
epilon, epilat = proj(epix, epiy, reverse=True)
# Origin
origin = Origin({'lat': epilat[0],
'lon': epilon[0],
'depth': 10,
'mag': magnitude,
'id': 'ss3',
'netid': '',
'network': '',
'locstring': '',
'rake': rake,
'time': HistoricTime.utcfromtimestamp(int(time.time()))})
rup = QuadRupture.fromTrace(
np.array([tlon[0]]), np.array([tlat[0]]),
np.array([tlon[1]]), np.array([tlat[1]]),
zp, width, dip, origin, reference='ss3')
x = np.linspace(0, 20, 6)
y = np.linspace(0, 90, 11)
site_x, site_y = np.meshgrid(x, y)
slon, slat = proj(site_x, site_y, reverse=True)
deps = np.zeros_like(slon)
test1 = Bayless2013(origin, rup, slat, slon, deps, T=1.0)
# Test fd
fd = test1.getFd()
fd_test = np.array(
[[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.]])
np.testing.assert_allclose(
fd, fd_test, rtol=1e-4)
def test_EdgeRupture_vs_QuadRupture():
# Sites stuff
sites = Sites.fromCenter(-122.15, 37.15, 1.5, 1.5, 0.01, 0.01)
sm_dict = sites._GeoDict
west = sm_dict.xmin
east = sm_dict.xmax
south = sm_dict.ymin
north = sm_dict.ymax
nx = sm_dict.nx
ny = sm_dict.ny
lats = np.linspace(north, south, ny)
lons = np.linspace(west, east, nx)
lon, lat = np.meshgrid(lons, lats)
dep = np.zeros_like(lon)
# Construct QuadRupture
xp0 = np.array([-122.0, -122.5])
yp0 = np.array([37.1, 37.4])
xp1 = np.array([-121.7, -122.3])
yp1 = np.array([37.2, 37.2])
zp = np.array([0, 6])
widths = np.array([30, 20])
dips = np.array([30, 40])
origin = Origin({
'lat': 33.15,
'lon': -122.15,
'depth': 0,
'mag': 7.2,
'id': '',
'netid': '',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
qrup = QuadRupture.fromTrace(xp0, yp0, xp1, yp1, zp, widths, dips, origin)
rrup_q = qrup.computeRrup(lon, lat, dep)
rjb_q = qrup.computeRjb(lon, lat, dep)
# Construct equivalent EdgeRupture
toplons = np.array([-122.0, -121.7, -122.5, -122.3])
toplats = np.array([37.1, 37.2, 37.4, 37.2])
topdeps = np.array([0, 0, 6, 6])
botlons = np.array([-121.886864, -121.587568, -122.635467, -122.435338])
botlats = np.array([36.884527, 36.984246, 37.314035, 37.114261])
botdeps = np.array([15.0000, 14.9998, 18.8558, 18.8559])
group_index = [0, 0, 1, 1]
erup = EdgeRupture.fromArrays(toplons, toplats, topdeps, botlons, botlats,
botdeps, origin, group_index)
rrup_e = erup.computeRrup(lon, lat, dep)
rjb_e = erup.computeRjb(lon, lat, dep)
# Check that QuadRupture and EdgeRupture give the same result
# (we check the absolute values of QuadRupture elsewhere)
np.testing.assert_allclose(rrup_e, rrup_q, atol=0.35)
np.testing.assert_allclose(rjb_e, rjb_q, atol=0.35)
def _get_time_segments(starttime, endtime, minmag):
if starttime is None:
starttime = HistoricTime.utcnow() - timedelta(days=30)
if endtime is None:
endtime = HistoricTime.utcnow()
# carve out an exception here for historic events (pre-1900),
# as there are only a few hundred of these in the database.
if endtime < datetime(1951, 1, 1):
return [(starttime, endtime)]
# earthquake frequency table: minmag:earthquakes per day
freq_table = {
0: 10000 / 7,
1: 3500 / 14,
2: 3000 / 18,
3: 4000 / 59,
4: 9000 / 151,
5: 3000 / 365,
6: 210 / 365,
7: 20 / 365,
8: 5 / 365,
9: 0.05 / 365
}
floormag = int(np.floor(minmag))
ndays = (endtime - starttime).days + 1
freq = freq_table[floormag]
nsegments = int(np.ceil((freq * ndays) / SEARCH_LIMIT))
days_per_segment = int(np.ceil(ndays / nsegments))
segments = []
startseg = starttime
endseg = starttime
while startseg <= endtime:
endseg = startseg + timedelta(days_per_segment)
if endseg > endtime:
endseg = endtime
segments.append((startseg, endseg))
startseg += timedelta(days=days_per_segment, microseconds=1)
return segments
def test_fromTrace():
xp0 = [0.0]
xp1 = [0.0]
yp0 = [0.0]
yp1 = [0.05]
zp = [0.0]
widths = [10.0]
dips = [45.0]
# Rupture requires an origin even when not used:
origin = Origin({
'id': 'test',
'lon': 0,
'lat': 0,
'depth': 5.0,
'mag': 7.0,
'netid': 'us',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
rupture = QuadRupture.fromTrace(
xp0,
yp0,
xp1,
yp1,
zp,
widths,
dips,
origin,
reference='From J Smith, (personal communication)')
fstr = io.StringIO()
rupture.writeTextFile(fstr)
xp0 = [-121.81529, -121.82298]
xp1 = [-121.82298, -121.83068]
yp0 = [37.73707, 37.74233]
yp1 = [37.74233, 37.74758]
zp = [10, 15]
widths = [15.0, 20.0]
dips = [30.0, 45.0]
rupture = QuadRupture.fromTrace(
xp0,
yp0,
xp1,
yp1,
zp,
widths,
dips,
origin,
reference='From J Smith, (personal communication)')
def test_northridge():
rupture_text = """# Source: Wald, D. J., T. H. Heaton, and K. W. Hudnut (1996). The Slip History of the 1994 Northridge, California, Earthquake Determined from Strong-Motion, Teleseismic, GPS, and Leveling Data, Bull. Seism. Soc. Am. 86, S49-S70.
-118.421 34.315 5.000
-118.587 34.401 5.000
-118.693 34.261 20.427
-118.527 34.175 20.427
-118.421 34.315 5.000
""" # noqa
# Rupture requires an origin even when not used:
origin = Origin({
'id': 'test',
'lon': 0,
'lat': 0,
'depth': 5.0,
'mag': 7.0,
'netid': 'us',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
cbuf = io.StringIO(rupture_text)
rupture = get_rupture(origin, cbuf)
strike = rupture.getStrike()
np.testing.assert_allclose(strike, 122.06, atol=0.01)
dip = rupture.getDip()
np.testing.assert_allclose(dip, 40.21, atol=0.01)
L = rupture.getLength()
np.testing.assert_allclose(L, 17.99, atol=0.01)
W = rupture.getWidth()
np.testing.assert_allclose(W, 23.94, atol=0.01)
nq = rupture.getNumQuads()
np.testing.assert_allclose(nq, 1)
ng = rupture.getNumGroups()
np.testing.assert_allclose(ng, 1)
sind = rupture._getGroupIndex()
np.testing.assert_allclose(sind, [0])
ztor = rupture.getDepthToTop()
np.testing.assert_allclose(ztor, 5, atol=0.01)
itl = rupture.getIndividualTopLengths()
np.testing.assert_allclose(itl, 17.99, atol=0.01)
iw = rupture.getIndividualWidths()
np.testing.assert_allclose(iw, 23.94, atol=0.01)
lats = rupture.lats
lats_d = np.array([34.401, 34.315, 34.175, 34.261, 34.401, np.nan])
np.testing.assert_allclose(lats, lats_d, atol=0.01)
lons = rupture.lons
lons_d = np.array(
[-118.587, -118.421, -118.527, -118.693, -118.587, np.nan])
np.testing.assert_allclose(lons, lons_d, atol=0.01)
def test_plot_rupture(interactive=False):
xp0 = np.array([-90.898000])
xp1 = np.array([-91.308000])
yp0 = np.array([12.584000])
yp1 = np.array([12.832000])
zp = [0.0]
strike = azimuth(yp0[0], xp0[0], yp1[0], xp1[0])
origin = Origin({
'lat': 0.0,
'lon': 0.0,
'depth': 0.0,
'mag': 5.5,
'id': '',
'netid': 'abcd',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
interface_width = MAX_DEPTH / np.sin(np.radians(DIP))
widths = np.ones(xp0.shape) * interface_width
dips = np.ones(xp0.shape) * DIP
strike = [strike]
rupture = QuadRupture.fromTrace(xp0,
yp0,
xp1,
yp1,
zp,
widths,
dips,
origin,
strike=strike)
plot_rupture_wire3d(rupture)
if interactive:
fname = os.path.join(os.path.expanduser('~'), 'rupture_wire_plot.png')
plt.savefig(fname)
print('Wire 3D plot saved to %s. Delete this file if you wish.' %
fname)
# Need to get tests to check exception for if an axis is handed off
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
plot_rupture_wire3d(rupture, ax)
# And raise the exception if it is not a 3d axis
with pytest.raises(TypeError):
ax = fig.add_subplot(111)
plot_rupture_wire3d(rupture, ax)
def test_incorrect():
rupture_text = """# Source: Ji, C., D. V. Helmberger, D. J. Wald, and K.-F. Ma (2003). Slip history and dynamic implications of the 1999 Chi-Chi, Taiwan, earthquake, J. Geophys. Res. 108, 2412, doi:10.1029/2002JB001764.
120.72300 24.27980 0
121.00000 24.05000 17
121.09300 24.07190 17
121.04300 24.33120 17
121.04300 24.33120 17
120.72300 24.27980 0
>
120.72300 24.27980 0
120.68000 23.70000 0
120.97200 23.60400 17
121.00000 24.05000 17
120.72300 24.27980 0
>
120.97200 23.60400 17
120.68000 23.70000 0
120.58600 23.58850 0
120.78900 23.40240 17
120.97200 23.60400 17""" # noqa
# Rupture requires an origin even when not used:
origin = Origin({
'id': 'test',
'lon': 0,
'lat': 0,
'depth': 5.0,
'mag': 7.0,
'netid': 'us',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
cbuf = io.StringIO(rupture_text)
with pytest.raises(Exception):
get_rupture(origin, cbuf)
def test_map_rupture(interactive=False):
xp0 = np.array([-90.898000])
xp1 = np.array([-91.308000])
yp0 = np.array([12.584000])
yp1 = np.array([12.832000])
zp = [0.0]
strike = azimuth(yp0[0], xp0[0], yp1[0], xp1[0])
origin = Origin({
'lat': 0.0,
'lon': 0.0,
'depth': 0.0,
'mag': 5.5,
'id': '',
'netid': 'abcd',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
interface_width = MAX_DEPTH / np.sin(np.radians(DIP))
widths = np.ones(xp0.shape) * interface_width
dips = np.ones(xp0.shape) * DIP
strike = [strike]
rupture = QuadRupture.fromTrace(xp0,
yp0,
xp1,
yp1,
zp,
widths,
dips,
origin,
strike=strike)
map_rupture(rupture)
if interactive:
fname = os.path.join(os.path.expanduser('~'), 'rupture_map.png')
plt.savefig(fname)
print('Rupture map plot saved to %s. Delete this file if you wish.' %
fname)
def rupture_from_dict(d):
"""
Method returns either a Rupture subclass (QuadRupture, EdgeRupture, or
PointRupture) object based on a GeoJSON dictionary.
.. seealso::
:func:`rupture_from_dict_and_origin`
Args:
d (dict):
Rupture GeoJSON dictionary, which must contain origin
information in the 'metadata' field.
Returns:
a Rupture subclass.
"""
validate_json(d)
d['metadata']['time'] = HistoricTime.strptime(d['metadata']['time'],
constants.TIMEFMT)
origin = Origin(d['metadata'])
# What type of rupture is this?
geo_type = d['features'][0]['geometry']['type']
if geo_type == 'MultiPolygon':
# EdgeRupture will have 'mesh_dx' in metadata
if 'mesh_dx' in d['metadata']:
mesh_dx = d['metadata']['mesh_dx']
rupt = EdgeRupture(d, origin, mesh_dx=mesh_dx)
else:
rupt = QuadRupture(d, origin)
elif geo_type == 'Point':
rupt = PointRupture(origin)
return rupt
def test_fromOrientation():
py = [0, 0.5]
px = [0, 0.5]
pz = [10, 20]
dx = [5, 7]
dy = [8, 5]
width = [10, 40]
length = [20, 50]
strike = [0, 90]
dip = [30, 20]
# Rupture requires an origin even when not used:
origin = Origin({'id': 'test',
'lon': 0, 'lat': 0,
'depth': 5.0, 'mag': 7.0, 'netid': 'us',
'network': '', 'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())})
rupture = QuadRupture.fromOrientation(px, py, pz, dx, dy, length, width,
strike, dip, origin)
p1 = rupture._geojson['features'][0]['geometry']['coordinates'][0][0][0]
p2 = rupture._geojson['features'][0]['geometry']['coordinates'][0][0][1]
p3 = rupture._geojson['features'][0]['geometry']['coordinates'][0][0][2]
p4 = rupture._geojson['features'][0]['geometry']['coordinates'][0][0][3]
p5 = rupture._geojson['features'][0]['geometry']['coordinates'][0][1][0]
p6 = rupture._geojson['features'][0]['geometry']['coordinates'][0][1][1]
p7 = rupture._geojson['features'][0]['geometry']['coordinates'][0][1][2]
p8 = rupture._geojson['features'][0]['geometry']['coordinates'][0][1][3]
# Check depths
np.testing.assert_allclose(p1[2], 6)
np.testing.assert_allclose(p2[2], 6)
np.testing.assert_allclose(p3[2], 11)
np.testing.assert_allclose(p4[2], 11)
np.testing.assert_allclose(p5[2], 18.2898992834)
np.testing.assert_allclose(p6[2], 18.2898992834)
np.testing.assert_allclose(p7[2], 31.9707050164)
np.testing.assert_allclose(p8[2], 31.9707050164)
# Exception raised if no origin
with pytest.raises(Exception) as a:
rupture = QuadRupture.fromOrientation(px, py, pz, dx, dy, length,
width, strike, dip, None)
print(str(a))
# Exception raised if different lengths of arrays
with pytest.raises(Exception) as a:
py = [0, 2]
px = [0]
pz = [10]
dx = [5]
dy = [8]
width = [10]
length = [20]
strike = [0]
dip = [30]
origin = Origin({'id': 'test',
'lon': 0, 'lat': 0,
'depth': 5.0, 'mag': 7.0, 'netid': 'us',
'network': '', 'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())})
rupture = QuadRupture.fromOrientation(px, py, pz, dx, dy, length,
width, strike, dip, origin)
print(str(a))
def test_fromTrace():
xp0 = [0.0]
xp1 = [0.0]
yp0 = [0.0]
yp1 = [0.05]
zp = [0.0]
widths = [10.0]
dips = [45.0]
# Rupture requires an origin even when not used:
origin = Origin({
'id': 'test',
'lon': -121.81529, 'lat': 37.73707,
'depth': 5.0, 'mag': 7.0, 'netid': 'us',
'network': '', 'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
# Error: unequal array lengths
with pytest.raises(ShakeLibException) as e:
rupture = QuadRupture.fromTrace(
xp0, yp0, xp1, yp1, zp[:-1], widths,
dips, origin,
reference='From J Smith, (personal communication)')
print(str(e))
# Error: invalid strike
with pytest.raises(ShakeLibException) as e:
rupture = QuadRupture.fromTrace(
xp0, yp0, xp1, yp1, zp, widths,
dips, origin, strike=[236.0, 250.0],
reference='From J Smith, (personal communication)')
print(str(e))
# TODO: These write tests exercise code, but we don't check the results
rupture = QuadRupture.fromTrace(
xp0, yp0, xp1, yp1, zp, widths,
dips, origin,
reference='From J Smith, (personal communication)')
fstr = io.StringIO()
rupture.writeTextFile(fstr)
tfile = tempfile.NamedTemporaryFile()
tname = tfile.name
tfile.close()
rupture.writeTextFile(tname)
os.remove(tname)
tfile = tempfile.NamedTemporaryFile()
tname = tfile.name
tfile.close()
rupture.writeGeoJson(tname)
os.remove(tname)
xp0 = [-121.81529, -121.82298]
xp1 = [-121.82298, -121.83068]
yp0 = [37.73707, 37.74233]
yp1 = [37.74233, 37.74758]
zp = [10, 15]
widths = [15.0, 20.0]
dips = [30.0, 45.0]
rupture = QuadRupture.fromTrace(
xp0, yp0, xp1, yp1, zp, widths,
dips, origin,
reference='From J Smith, (personal communication)')
assert rupture.getReference() == 'From J Smith, (personal communication)'
rorigin = rupture.getOrigin()
assert rorigin.id == origin.id
assert rorigin.mag == origin.mag
assert rorigin.depth == origin.depth
rx = rupture.getRuptureContext([])
np.testing.assert_allclose([rx.strike, rx.dip, rx.ztor, rx.width],
[-49.183708644954905, 37.638322472702534,
9.999999999371358, 17.47024205615428])
rhyp = rupture.computeRhyp(np.array([-121.5]), np.array([37.0]),
np.array([0]))
repi = rupture.computeRepi(np.array([-121.5]), np.array([37.0]),
np.array([0]))
np.testing.assert_allclose([rhyp[0], repi[0]], [86.709236, 86.564956])
def test_so6():
magnitude = 7.2
dip = np.array([70])
rake = 135
width = np.array([15])
L = 80
rupx = np.array([0, 0])
rupy = np.array([0, L])
zp = np.array([0])
# Convert to lat/lon
proj = OrthographicProjection(-122, -120, 39, 37)
tlon, tlat = proj(rupx, rupy, reverse=True)
# Dummy origin
origin = Origin({'lat': 0,
'lon': 0,
'depth': 0,
'mag': 0,
'id': 'so6',
'netid': 'us',
'network': '',
'locstring': '',
'rake': rake,
'time': HistoricTime.utcfromtimestamp(int(time.time()))})
# Rupture
rup = QuadRupture.fromTrace(
np.array([tlon[0]]), np.array([tlat[0]]),
np.array([tlon[1]]), np.array([tlat[1]]),
zp, width, dip, origin, reference='rv4')
# Sites
x = np.linspace(-80, 80, 21)
y = np.linspace(-50, 130, 21)
site_x, site_y = np.meshgrid(x, y)
slon, slat = proj(site_x, site_y, reverse=True)
sdepth = np.zeros_like(slon)
# Fix origin
tmp = rup.getQuadrilaterals()[0]
pp0 = Vector.fromPoint(point.Point(
tmp[0].longitude, tmp[0].latitude, tmp[0].depth))
pp1 = Vector.fromPoint(point.Point(
tmp[1].longitude, tmp[1].latitude, tmp[1].depth))
pp2 = Vector.fromPoint(point.Point(
tmp[2].longitude, tmp[2].latitude, tmp[2].depth))
pp3 = Vector.fromPoint(point.Point(
tmp[3].longitude, tmp[3].latitude, tmp[3].depth))
dxp = 10 / L
dyp = (width - 5) / width
mp0 = pp0 + (pp1 - pp0) * dxp
mp1 = pp3 + (pp2 - pp3) * dxp
rp = mp0 + (mp1 - mp0) * dyp
epilat, epilon, epidepth = ecef2latlon(rp.x, rp.y, rp.z)
epix, epiy = proj(epilon, epilat, reverse=False)
origin = Origin({'lat': epilat,
'lon': epilon,
'depth': epidepth,
'mag': magnitude,
'id': 'so6',
'netid': 'us',
'network': '',
'locstring': '',
'rake': rake,
'time': HistoricTime.utcfromtimestamp(int(time.time()))})
ruplat = [a.latitude for a in rup.getQuadrilaterals()[0]]
ruplon = [a.longitude for a in rup.getQuadrilaterals()[0]]
ruplat = np.append(ruplat, ruplat[0])
ruplon = np.append(ruplon, ruplon[0])
rupx, rupy = proj(ruplon, ruplat, reverse=False)
test1 = Bayless2013(origin, rup, slat, slon, sdepth, T=5)
fd = test1.getFd()
fd_test = np.array(
[[0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
-8.92879772e-03, -1.74526918e-02, -2.22981746e-02,
-2.34350450e-02, -2.13620062e-02, -1.72712346e-02,
-1.29509613e-02, -1.02545064e-02, -1.03010185e-02,
-1.28847597e-02, -1.66274727e-02, -1.96984070e-02,
-2.05377743e-02, -1.81831337e-02, -1.21881814e-02,
-2.64862879e-03, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, -8.73221519e-03,
-2.21421374e-02, -3.18438939e-02, -3.71488270e-02,
-3.76239913e-02, -3.35015951e-02, -2.61748968e-02,
-1.83864728e-02, -1.34793002e-02, -1.36687799e-02,
-1.85727143e-02, -2.55527671e-02, -3.14227568e-02,
-3.38933995e-02, -3.19289607e-02, -2.53396980e-02,
-1.45943649e-02, -3.71405488e-04, 0.00000000e+00],
[0.00000000e+00, -2.54621422e-03, -2.11428566e-02,
-3.68609103e-02, -4.87464747e-02, -5.56539037e-02,
-5.64419387e-02, -5.05331157e-02, -3.52919381e-02,
-2.18782050e-02, -1.40858125e-02, -1.47354546e-02,
-2.35727189e-02, -3.74838465e-02, -4.75915414e-02,
-5.13000399e-02, -4.87882409e-02, -4.05716321e-02,
-2.77368254e-02, -1.13542729e-02, 0.00000000e+00],
[0.00000000e+00, -1.21642958e-02, -3.33747360e-02,
-5.21661817e-02, -6.74724509e-02, -7.77628842e-02,
-8.00243748e-02, -6.42496853e-02, -4.38124530e-02,
-1.97027426e-02, -1.45897731e-02, -1.07427056e-02,
-3.08235222e-02, -4.82656988e-02, -6.67692677e-02,
-7.35152908e-02, -6.85574283e-02, -5.71811573e-02,
-4.12138780e-02, -2.20396726e-02, -6.24121310e-04],
[0.00000000e+00, -2.00643401e-02, -4.39827328e-02,
-6.62722434e-02, -8.60268414e-02, -1.01730306e-01,
-9.86277741e-02, -9.82914922e-02, -5.22335876e-02,
-1.54622435e-02, -1.57487554e-02, -3.06190808e-03,
-4.81481586e-02, -8.92480491e-02, -8.63776477e-02,
-9.98130440e-02, -8.95491230e-02, -7.33553695e-02,
-5.34401725e-02, -3.11601812e-02, -7.33715103e-03],
[0.00000000e+00, -2.50053614e-02, -5.11695772e-02,
-7.65997026e-02, -1.00809054e-01, -1.22877573e-01,
-1.18738178e-01, -1.55236782e-01, -7.45388001e-02,
1.92779182e-03, -1.94380016e-02, 1.94922939e-02,
-7.66669920e-02, -1.53909722e-01, -1.10846875e-01,
-1.19746768e-01, -1.07680300e-01, -8.59905101e-02,
-6.22042294e-02, -3.71802472e-02, -1.13867485e-02],
[0.00000000e+00, -2.63645827e-02, -5.37984901e-02,
-8.11337022e-02, -1.08298371e-01, -1.35146441e-01,
-1.34825430e-01, -1.85836050e-01, -1.10730875e-01,
-3.18861095e-02, 4.14395701e-02, -1.52711946e-02,
-1.31840763e-01, -1.96794707e-01, -1.33453212e-01,
-1.34989129e-01, -1.17922385e-01, -9.21637323e-02,
-6.58369237e-02, -3.91646838e-02, -1.22685698e-02],
[0.00000000e+00, -2.64622244e-02, -5.40483999e-02,
-8.16190336e-02, -1.09162854e-01, -1.36656677e-01,
-1.37081504e-01, -1.89522811e-01, -1.17723634e-01,
-4.88765748e-02, -5.04529015e-03, -5.76414497e-02,
-1.45712183e-01, -2.03062804e-01, -1.36859828e-01,
-1.37107390e-01, -1.19124650e-01, -9.28263279e-02,
-6.61800709e-02, -3.93088682e-02, -1.22842049e-02],
[0.00000000e+00, -2.58466495e-02, -5.24858827e-02,
-7.86086164e-02, -1.03856343e-01, -1.27529509e-01,
-1.23794779e-01, -1.68810613e-01, -8.22602627e-02,
1.74236964e-02, 9.38708725e-02, 4.23208284e-02,
-8.46343723e-02, -1.70476759e-01, -1.17547884e-01,
-1.24569752e-01, -1.11518670e-01, -8.84736806e-02,
-6.38037151e-02, -3.81874381e-02, -1.19867610e-02],
[0.00000000e+00, -2.42186547e-02, -4.84175525e-02,
-7.09428614e-02, -9.07754575e-02, -1.06117824e-01,
-9.50228292e-02, -1.29781980e-01, -3.08573454e-02,
7.39058739e-02, 1.30478117e-01, 8.28181149e-02,
-2.70389535e-02, -1.20837502e-01, -8.02081725e-02,
-9.70274506e-02, -9.35853383e-02, -7.77422806e-02,
-5.77817530e-02, -3.53067886e-02, -1.12414659e-02],
[0.00000000e+00, -2.16818717e-02, -4.22363856e-02,
-5.96909893e-02, -7.24805224e-02, -7.81867829e-02,
-6.11838569e-02, -9.05679744e-02, 9.95934969e-03,
1.07503875e-01, 1.52073917e-01, 1.05894634e-01,
8.68652263e-03, -7.98571818e-02, -4.16548658e-02,
-6.40511838e-02, -6.99337160e-02, -6.26305633e-02,
-4.89098800e-02, -3.09284566e-02, -1.00919381e-02],
[0.00000000e+00, -1.84940182e-02, -3.47054606e-02,
-4.65278129e-02, -5.22037664e-02, -4.93977115e-02,
-2.95395230e-02, -5.82421092e-02, 3.91025654e-02,
1.29337956e-01, 1.67436703e-01, 1.21969296e-01,
3.20823547e-02, -5.00287386e-02, -9.22993907e-03,
-3.27186625e-02, -4.52706958e-02, -4.57409325e-02,
-3.84701291e-02, -2.55751405e-02, -8.64950254e-03],
[0.00000000e+00, -1.49431380e-02, -2.65887341e-02,
-3.29162158e-02, -3.22994323e-02, -2.29081781e-02,
-2.60259636e-03, -3.29856530e-02, 6.02631314e-02,
1.45003704e-01, 1.79361264e-01, 1.34292814e-01,
4.88007115e-02, -2.82328554e-02, 1.64212421e-02,
-5.72391847e-03, -2.23438861e-02, -2.90246794e-02,
-2.76054402e-02, -1.97779758e-02, -7.03945406e-03],
[0.00000000e+00, -1.12771143e-02, -1.84737590e-02,
-1.98228664e-02, -1.40092305e-02, 1.84580818e-04,
1.95817303e-02, -1.32608487e-02, 7.62783168e-02,
1.57076433e-01, 1.89083905e-01, 1.44259188e-01,
6.15722813e-02, -1.17505212e-02, 3.65938109e-02,
1.66937711e-02, -2.18970818e-03, -1.35507683e-02,
-1.70890527e-02, -1.39519424e-02, -5.37036892e-03],
[0.00000000e+00, -7.67615215e-03, -1.07348257e-02,
-7.75276739e-03, 2.22351695e-03, 1.98662250e-02,
3.77611177e-02, 2.42018661e-03, 8.89036172e-02,
1.66855206e-01, 1.97260700e-01, 1.52590263e-01,
7.17981256e-02, 1.18005972e-03, 5.26852303e-02,
3.51638855e-02, 1.51012176e-02, 2.69654076e-04,
-7.33815554e-03, -8.36639665e-03, -3.72176313e-03],
[0.00000000e+00, -4.50552324e-03, -4.32262850e-03,
1.73559158e-03, 1.42670366e-02, 3.35040699e-02,
4.97279358e-02, 1.85410528e-02, 9.39950666e-02,
1.46646579e-01, 9.13474746e-02, 1.37004651e-01,
7.74648339e-02, 1.59777072e-02, 6.25334939e-02,
4.74577418e-02, 2.72155518e-02, 1.06174952e-02,
3.94103899e-04, -3.68465400e-03, -2.19830733e-03],
[0.00000000e+00, -1.74629916e-03, 5.44471813e-04,
8.22933499e-03, 2.15699287e-02, 4.04232250e-02,
5.69678048e-02, 5.52408259e-02, 9.04381272e-02,
1.08204635e-01, 9.14439984e-02, 1.06884511e-01,
8.17241884e-02, 5.55282924e-02, 6.78528399e-02,
5.47188925e-02, 3.35251483e-02, 1.69615982e-02,
5.72048628e-03, -8.81437278e-05, -7.36518436e-04],
[0.00000000e+00, 4.07838765e-05, 3.63933766e-03,
1.20080876e-02, 2.51274691e-02, 4.25687176e-02,
6.25685606e-02, 7.33480475e-02, 8.37515545e-02,
9.52500287e-02, 9.15135660e-02, 9.66442834e-02,
8.66659913e-02, 8.10325633e-02, 7.18836713e-02,
5.45548434e-02, 3.55884875e-02, 2.00142359e-02,
8.71200201e-03, 2.04407846e-03, -6.53680674e-06],
[0.00000000e+00, 2.40054729e-04, 4.44975227e-03,
1.27572519e-02, 2.49362989e-02, 4.03831326e-02,
5.80039988e-02, 7.61280192e-02, 8.37404162e-02,
8.89634569e-02, 9.15651607e-02, 9.13586235e-02,
8.83589144e-02, 8.27804032e-02, 6.75666471e-02,
5.00483249e-02, 3.36733366e-02, 1.96758691e-02,
9.00603204e-03, 2.18370401e-03, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 2.78776980e-03,
1.05086036e-02, 2.13238822e-02, 3.45577738e-02,
4.91570145e-02, 6.36787133e-02, 7.63710088e-02,
8.54072310e-02, 8.92960200e-02, 8.75702197e-02,
8.07095447e-02, 6.97999389e-02, 5.63787286e-02,
4.20734776e-02, 2.83073312e-02, 1.61614525e-02,
6.56194125e-03, 1.00721924e-04, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
5.49667845e-03, 1.47563319e-02, 2.57955743e-02,
3.76689418e-02, 4.91861917e-02, 5.90108907e-02,
6.58478416e-02, 6.87018515e-02, 6.73174642e-02,
6.20270643e-02, 5.35456385e-02, 4.29400416e-02,
3.14129728e-02, 2.00795162e-02, 9.84001885e-03,
1.53992995e-03, 0.00000000e+00, 0.00000000e+00]]
)
np.testing.assert_allclose(fd, fd_test, rtol=1e-4)
def test_rv4():
magnitude = 7.0
rake = 90.0
width = np.array([28])
rupx = np.array([0, 0])
rupy = np.array([0, 32])
zp = np.array([0])
dip = np.array([30])
# Convert to lat/lon
proj = OrthographicProjection(-122, -120, 39, 37)
tlon, tlat = proj(rupx, rupy, reverse=True)
# Dummy Origin
origin = Origin({'lat': 0,
'lon': 0,
'depth': 0,
'mag': 0,
'id': 'rv4',
'netid': 'us',
'network': '',
'locstring': '',
'rake': rake,
'time': HistoricTime.utcfromtimestamp(int(time.time()))})
# Rupture
rup = QuadRupture.fromTrace(
np.array([tlon[0]]), np.array([tlat[0]]),
np.array([tlon[1]]), np.array([tlat[1]]),
zp, width, dip, origin, reference='')
L = rup.getLength()
# Figure out epicenter
tmp = rup.getQuadrilaterals()[0]
pp0 = Vector.fromPoint(point.Point(
tmp[0].longitude, tmp[0].latitude, tmp[0].depth))
pp1 = Vector.fromPoint(point.Point(
tmp[1].longitude, tmp[1].latitude, tmp[1].depth))
pp2 = Vector.fromPoint(point.Point(
tmp[2].longitude, tmp[2].latitude, tmp[2].depth))
pp3 = Vector.fromPoint(point.Point(
tmp[3].longitude, tmp[3].latitude, tmp[3].depth))
dxp = 6 / L
dyp = (width - 8) / width
mp0 = pp0 + (pp1 - pp0) * dxp
mp1 = pp3 + (pp2 - pp3) * dxp
rp = mp0 + (mp1 - mp0) * dyp
epilat, epilon, epidepth = ecef2latlon(rp.x, rp.y, rp.z)
# Fix Origin:
origin = Origin({'lat': epilat,
'lon': epilon,
'depth': epidepth,
'mag': magnitude,
'id': 'rv4',
'netid': 'us',
'network': '',
'locstring': '',
'rake': rake,
'time': HistoricTime.utcfromtimestamp(int(time.time()))})
x = np.linspace(-50, 50, 11)
y = np.linspace(-50, 50, 11)
site_x, site_y = np.meshgrid(x, y)
slon, slat = proj(site_x, site_y, reverse=True)
deps = np.zeros_like(slon)
test1 = Bayless2013(origin, rup, slat, slon, deps, T=2.0)
# Test fd
fd = test1.getFd()
fd_test = np.array(
[[0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
1.72143257e-03, 1.34977260e-03, 4.33616224e-15,
1.24446253e-03, 1.16142357e-03, 2.25464716e-03,
7.05281751e-04, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 7.62610242e-03,
1.25133844e-02, 5.61896104e-03, 7.63126014e-15,
4.52266194e-03, 4.67970900e-03, 1.02820316e-02,
5.13160096e-03, -6.13926251e-03],
[0.00000000e+00, 4.00495234e-03, 2.37608386e-02,
2.37139333e-02, 9.55224050e-03, 5.66364910e-15,
7.70344813e-03, 7.36466362e-03, 1.48239704e-02,
8.40388145e-03, -1.58592485e-02],
[8.08385547e-19, 9.38150101e-03, 3.38610620e-02,
3.85351492e-02, 1.91044918e-02, 3.98697802e-15,
1.54321666e-02, 1.21913760e-02, 2.04435166e-02,
1.04931859e-02, -1.85935894e-02],
[2.12025421e-18, 1.37316085e-02, 4.40193799e-02,
6.16562477e-02, 4.77612496e-02, 2.60257085e-15,
3.86322888e-02, 1.97965887e-02, 2.64882038e-02,
1.23335908e-02, -2.07389932e-02],
[2.64338576e-18, 1.45898292e-02, 4.89104213e-02,
7.70703166e-02, 9.55225258e-02, 1.01875104e-01,
7.73459329e-02, 2.50275508e-02, 2.93537540e-02,
1.30949577e-02, -2.15685454e-02],
[2.64330042e-18, 1.45898262e-02, 4.89104186e-02,
7.70703146e-02, 9.55225248e-02, 1.01910945e-01,
7.74050835e-02, 2.52307946e-02, 2.92970736e-02,
1.30880504e-02, -2.15685424e-02],
[2.64318867e-18, 1.45898259e-02, 4.89104184e-02,
7.70703144e-02, 9.55225247e-02, 1.01933432e-01,
7.74421258e-02, 2.53572923e-02, 2.92615130e-02,
1.30837284e-02, -2.15685422e-02],
[2.64305117e-18, 1.45898284e-02, 4.89104206e-02,
7.70703161e-02, 9.55225256e-02, 1.01942593e-01,
7.74571359e-02, 2.54081640e-02, 2.92472117e-02,
1.30819985e-02, -2.15685446e-02],
[2.30141673e-18, 1.40210825e-02, 4.56205547e-02,
6.63109661e-02, 5.79266964e-02, 2.33044622e-15,
4.69672564e-02, 2.18401553e-02, 2.72864925e-02,
1.25728575e-02, -2.10227772e-02],
[1.10672535e-18, 1.04777076e-02, 3.59041065e-02,
4.24614318e-02, 2.24217216e-02, 3.66914762e-15,
1.81728517e-02, 1.39301504e-02, 2.14956836e-02,
1.08711460e-02, -1.90802849e-02]]
)
np.testing.assert_allclose(fd, fd_test, rtol=2e-4)
def test_rupture_from_dict():
# Grab an EdgeRupture
origin = Origin({'id': 'test', 'lat': 0, 'lon': 0, 'depth': 5.0,
'mag': 7.0, 'netid': 'us', 'network': '',
'locstring': '', 'time':
HistoricTime.utcfromtimestamp(time.time())})
file = os.path.join(homedir, 'rupture_data/cascadia.json')
rup_original = get_rupture(origin, file)
d = rup_original._geojson
rup_from_dict = rupture_from_dict(d)
assert rup_from_dict._mesh_dx == 0.5
# Specify mesh_dx
rup_original = get_rupture(origin, file, mesh_dx=1.0)
d = rup_original._geojson
rup_from_dict = rupture_from_dict(d)
assert rup_from_dict._mesh_dx == 1.0
# Quad rupture
file = os.path.join(homedir, 'rupture_data/izmit.json')
rup_original = get_rupture(origin, file)
d = rup_original._geojson
rup_from_dict = rupture_from_dict(d)
assert rup_from_dict.getArea() == rup_original.getArea()
# Note, there's a bit of an inconsistency highlighted here because
# magnitude has key 'magnitude' in the izmit file, but 'mag' in
# the origin and both get retained.
# Point rupture from json
file = os.path.join(homedir, 'rupture_data/point.json')
rup = get_rupture(origin, file)
assert rup.lats == 0
assert rup.lons == 0
# Point rupture
origin = Origin({
'id': 'test',
'lon': -122.5, 'lat': 37.3,
'depth': 5.0, 'mag': 7.0, 'netid': 'us',
'network': '', 'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
rup_original = get_rupture(origin)
d = rup_original._geojson
rup_from_dict = rupture_from_dict(d)
assert rup_from_dict.lats == 37.3
assert rup_from_dict.lons == -122.5
assert rup_original.getLength() is None
assert rup_original.getWidth() == constants.DEFAULT_WIDTH
assert rup_original.getArea() is None
assert rup_original.getStrike() == constants.DEFAULT_STRIKE
assert rup_original.getDip() == constants.DEFAULT_DIP
assert rup_original.getDepthToTop() == constants.DEFAULT_ZTOR
assert rup_original.getQuadrilaterals() is None
assert rup_original.depths == 5.0
# No mech, no tectonic region
rjb, _ = rup_original.computeRjb(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
rrup, _ = rup_original.computeRrup(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
if do_tests is True:
np.testing.assert_allclose([rjb[0], rrup[0]],
[42.757296, 46.614723])
else:
print(rjb[0], rrup[0])
# Various combinations of mech and tectonic region...
rup_original._origin._tectonic_region = 'Active Shallow Crust'
rup_original._origin.mech = 'ALL'
rjb, _ = rup_original.computeRjb(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
rrup, _ = rup_original.computeRrup(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
if do_tests is True:
np.testing.assert_allclose([rjb[0], rrup[0]],
[42.757296, 46.614723])
else:
print(rjb[0], rrup[0])
rup_original._origin.mech = 'RS'
rjb, _ = rup_original.computeRjb(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
rrup, _ = rup_original.computeRrup(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
if do_tests is True:
np.testing.assert_allclose([rjb[0], rrup[0]],
[39.779893, 44.033556])
else:
print(rjb[0], rrup[0])
rup_original._origin.mech = 'NM'
rjb, _ = rup_original.computeRjb(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
rrup, _ = rup_original.computeRrup(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
if do_tests is True:
np.testing.assert_allclose([rjb[0], rrup[0]],
[40.937772, 45.254891])
else:
print(rjb[0], rrup[0])
rup_original._origin.mech = 'SS'
rjb, _ = rup_original.computeRjb(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
rrup, _ = rup_original.computeRrup(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
if do_tests is True:
np.testing.assert_allclose([rjb[0], rrup[0]],
[46.750567, 48.108934])
else:
print(rjb[0], rrup[0])
rup_original._origin._tectonic_region = 'Stable Shallow Crust'
rup_original._origin.mech = 'ALL'
rjb, _ = rup_original.computeRjb(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
rrup, _ = rup_original.computeRrup(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
if do_tests is True:
np.testing.assert_allclose([rjb[0], rrup[0]],
[43.676648, 48.008276])
else:
print(rjb[0], rrup[0])
rup_original._origin.mech = 'RS'
rjb, _ = rup_original.computeRjb(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
rrup, _ = rup_original.computeRrup(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
if do_tests is True:
np.testing.assert_allclose([rjb[0], rrup[0]],
[42.445057, 46.865434])
else:
print(rjb[0], rrup[0])
rup_original._origin.mech = 'NM'
rjb, _ = rup_original.computeRjb(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
rrup, _ = rup_original.computeRrup(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
if do_tests is True:
np.testing.assert_allclose([rjb[0], rrup[0]],
[43.233314, 47.563079])
else:
print(rjb[0], rrup[0])
rup_original._origin.mech = 'SS'
rjb, _ = rup_original.computeRjb(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
rrup, _ = rup_original.computeRrup(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
if do_tests is True:
np.testing.assert_allclose([rjb[0], rrup[0]],
[47.829729, 50.087485])
else:
print(rjb[0], rrup[0])
rup_original._origin._tectonic_region = 'Somewhere Else'
rup_original._origin.mech = 'ALL'
rjb, var = rup_original.computeRjb(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
rrup, var = rup_original.computeRrup(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
if do_tests is True:
np.testing.assert_allclose([rjb[0], rrup[0]],
[42.757296, 46.614723])
else:
print(rjb[0], rrup[0])
# This is just zeroes now, so there's not much to check
gc2 = rup_original.computeGC2(np.array([-122.0]), np.array([37.0]),
np.array([0.0]))
assert gc2['rx'][0] == 0
def test_QuadRupture():
# Rupture requires an origin even when not used:
origin = Origin({'id': 'test',
'lon': 0, 'lat': 0,
'depth': 5.0, 'mag': 7.0, 'netid': 'us',
'network': '', 'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())})
# First with json file
file = os.path.join(homedir, 'rupture_data/izmit.json')
rupj = get_rupture(origin, file)
# Then with text file:
file = os.path.join(homedir, 'rupture_data/Barkaetal02_fault.txt')
rupt = get_rupture(origin, file)
np.testing.assert_allclose(rupj.lats, rupt.lats, atol=1e-5)
np.testing.assert_allclose(rupj.lons, rupt.lons, atol=1e-5)
np.testing.assert_allclose(rupj._depth, rupt._depth, atol=1e-5)
np.testing.assert_allclose(rupt.getArea(), 2391.2822653900268, atol=1e-5)
target = np.array(
[29.51528, 29.3376, 29.3376, 29.51528005,
29.51528, np.nan, 29.87519, 29.61152,
29.61152, 29.87519021, 29.87519, np.nan,
30.11126, 29.88662, 30.11126, 30.11126,
29.88662, 30.11126, 30.11126, np.nan,
30.4654, 30.30494, 30.4654, 30.4654,
30.30494, 30.4654, 30.4654, np.nan,
30.63731, 30.57658, 30.57658, 30.63731011,
30.63731, np.nan, 30.93655, 30.729,
30.729, 30.93655103, 30.93655, np.nan,
31.01799, 30.94688, 30.94688, 31.0179905,
31.01799, np.nan]
)
np.testing.assert_allclose(rupj.lons, target, atol=1e-5)
target = np.array(
[40.72733, 40.70985, 40.71185, 40.72932969,
40.72733, np.nan, 40.74903, 40.70513,
40.70713, 40.75102924, 40.74903, np.nan,
40.72336, 40.72582, 40.72336, 40.72536,
40.72782, 40.72536004, 40.72336, np.nan,
40.71081, 40.7121, 40.71081, 40.71281,
40.7141, 40.71281002, 40.71081, np.nan,
40.70068, 40.71621, 40.71821, 40.70268025,
40.70068, np.nan, 40.79654, 40.69947,
40.70147, 40.79853872, 40.79654, np.nan,
40.84501, 40.80199, 40.80399, 40.84700952,
40.84501, np.nan]
)
np.testing.assert_allclose(rupj.lats, target, atol=1e-5)
target = np.array(
[-0.00000000e+00, -0.00000000e+00, 2.00000000e+01,
1.99999325e+01, -0.00000000e+00, np.nan,
-9.31322575e-13, -0.00000000e+00, 2.00000000e+01,
1.99998304e+01, -9.31322575e-13, np.nan,
9.31322575e-13, -0.00000000e+00, 9.31322575e-13,
2.00000000e+01, 2.00000000e+01, 2.00000095e+01,
9.31322575e-13, np.nan, -0.00000000e+00,
-0.00000000e+00, -0.00000000e+00, 2.00000000e+01,
2.00000000e+01, 2.00000050e+01, -0.00000000e+00,
np.nan, -0.00000000e+00, -0.00000000e+00,
2.00000000e+01, 2.00000600e+01, -0.00000000e+00,
np.nan, -0.00000000e+00, -0.00000000e+00,
2.00000000e+01, 1.99996249e+01, -0.00000000e+00,
np.nan, -0.00000000e+00, -0.00000000e+00,
2.00000000e+01, 1.99998338e+01, -0.00000000e+00,
np.nan])
np.testing.assert_allclose(rupj.depths, target, atol=1e-5)
def read_event_file(eventxml):
"""
Read event.xml file from disk, returning a dictionary of attributes.
Input XML format looks like this:
.. code-block:: xml
<earthquake
id="2008ryan "
lat="30.9858"
lon="103.3639"
mag="7.9"
year="2008"
month="05"
day="12"
hour="06"
minute="28"
second="01"
timezone="GMT"
depth="19.0"
locstring="EASTERN SICHUAN, CHINA"
created="1211173621"
otime="1210573681"
type=""
/>
Args:
eventxml (str): Path to event XML file OR file-like object.
Returns:
dict: Dictionary with keys:
- eventsourcecode Origin network and origin code (i.e., us2017abcd).
- eventsource Origin network ("us").
- time Origin time as an HistoricTime object.
- lat Origin latitude
- lon Origin longitude
- depth Origin depth
- mag Origin magnitude
- created Process time as an HistoricTime object.
- locstring Location string
- mechanism Moment mechanism, one of:
- 'RS' (Reverse)
- 'SS' (Strike-Slip)
- 'NM' (Normal)
- 'ALL' (Undetermined)
"""
# fill in default values for mechanism, rake and dip
# these may be overriden by values in event.xml, source.txt, or by values
# passed in after reading input data.
# event = {'mech': DEFAULT_MECH,
# 'rake': DEFAULT_RAKE,
# 'dip': DEFAULT_DIP}
if isinstance(eventxml, str):
root = minidom.parse(eventxml)
else:
data = eventxml.read()
root = minidom.parseString(data)
# Turn XML content into dictionary
eq = root.getElementsByTagName('earthquake')[0]
xmldict = dict(eq.attributes.items())
root.unlink()
eqdict = {}
eqdict['eventsourcecode'] = xmldict['id']
if 'network' in xmldict:
eqdict['eventsource'] = xmldict['network']
else:
eqdict['eventsource'] = 'us' #??
#look for the productcode attribute
if 'productcode' in xmldict:
eqdict['productcode'] = xmldict['productcode']
# fix eventsourcecode if not specified correctly
if not eqdict['eventsourcecode'].startswith(eqdict['eventsource']):
eqdict['eventsourcecode'] = eqdict['eventsource'] + eqdict['eventsourcecode']
year = int(xmldict['year'])
month = int(xmldict['month'])
day = int(xmldict['day'])
hour = int(xmldict['hour'])
minute = int(xmldict['minute'])
second = int(xmldict['second'])
microseconds = int((second - int(xmldict['second']))*1e6)
eqdict['time'] = HistoricTime(year,month,day,hour,minute,second,microseconds)
eqdict['lat'] = float(xmldict['lat'])
eqdict['lon'] = float(xmldict['lon'])
eqdict['depth'] = float(xmldict['depth'])
eqdict['mag'] = float(xmldict['mag'])
# make created field in event.xml optional - set to current UTC time if not
# supplied.
if 'created' in xmldict:
eqdict['created'] = HistoricTime.utcfromtimestamp(int(xmldict['created']))
else:
eqdict['created'] = HistoricTime.utcnow()
eqdict['locstring'] = xmldict['locstring']
if 'mech' in xmldict:
eqdict['mech'] = xmldict['mech']
return eqdict
def test_parse_complicated_rupture():
rupture_text = """# SOURCE: Barka, A., H. S. Akyz, E. Altunel, G. Sunal, \
Z. Akir, A. Dikbas, B. Yerli, R. Armijo, B. Meyer, J. B. d. Chabalier, \
T. Rockwell, J. R. Dolan, R. Hartleb, T. Dawson, S. Christofferson, \
A. Tucker, T. Fumal, R. Langridge, H. Stenner, W. Lettis, J. Bachhuber, \
and W. Page (2002). The Surface Rupture and Slip Distribution of the \
17 August 1999 Izmit Earthquake (M 7.4), North Anatolian Fault, Bull. \
Seism. Soc. Am. 92, 43-60.
29.33760 40.70985 0
29.51528 40.72733 0
29.51528 40.72933 20
29.33760 40.71185 20
29.33760 40.70985 0
>
29.61152 40.70513 0
29.87519 40.74903 0
29.87519 40.75103 20
29.61152 40.70713 20
29.61152 40.70513 0
>
29.88662 40.72582 0
30.11126 40.72336 0
30.19265 40.73432 0
30.19265 40.73632 20
30.11126 40.72536 20
29.88662 40.72782 20
29.88662 40.72582 0
>
30.30494 40.71210 0
30.46540 40.71081 0
30.56511 40.70739 0
30.56511 40.70939 20
30.46540 40.71281 20
30.30494 40.71410 20
30.30494 40.71210 0
>
30.57658 40.71621 0
30.63731 40.70068 0
30.63731 40.70268 20
30.57658 40.71821 20
30.57658 40.71621 0
>
30.72900 40.69947 0
30.93655 40.79654 0
30.93655 40.79854 20
30.72900 40.70147 20
30.72900 40.69947 0
>
30.94688 40.80199 0
31.01799 40.84501 0
31.01799 40.84701 20
30.94688 40.80399 20
30.94688 40.80199 0""" # noqa
# Rupture requires an origin even when not used:
origin = Origin({'id': 'test',
'lon': 0, 'lat': 0,
'depth': 5.0, 'mag': 7.0, 'netid': 'us',
'network': '', 'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())})
cbuf = io.StringIO(rupture_text)
rupture = get_rupture(origin, cbuf)
strike = rupture.getStrike()
np.testing.assert_allclose(strike, -100.46, atol=0.01)
dip = rupture.getDip()
np.testing.assert_allclose(dip, 89.40, atol=0.01)
L = rupture.getLength()
np.testing.assert_allclose(L, 119.56, atol=0.01)
W = rupture.getWidth()
np.testing.assert_allclose(W, 20.0, atol=0.01)
nq = rupture.getNumQuads()
np.testing.assert_allclose(nq, 9)
ng = rupture.getNumGroups()
np.testing.assert_allclose(ng, 7)
sind = rupture._getGroupIndex()
np.testing.assert_allclose(sind, [0, 1, 2, 2, 3, 3, 4, 5, 6])
ztor = rupture.getDepthToTop()
np.testing.assert_allclose(ztor, 0, atol=0.01)
itl = rupture.getIndividualTopLengths()
itl_d = np.array([15.13750778, 22.80237887, 18.98053425, 6.98263853,
13.55978731, 8.43444811, 5.41399812, 20.57788056,
7.66869463])
np.testing.assert_allclose(itl, itl_d, atol=0.01)
iw = rupture.getIndividualWidths()
iw_d = np.array([20.00122876, 20.00122608, 20.00120173, 20.00121028,
20.00121513, 20.00121568, 20.00107293, 20.00105498,
20.00083348])
np.testing.assert_allclose(iw, iw_d, atol=0.01)
lats = rupture.lats
lats_d = np.array([40.72733, 40.70985, 40.71185, 40.72932969,
40.72733, np.nan, 40.74903, 40.70513,
40.70713, 40.75102924, 40.74903, np.nan,
40.72336, 40.72582, 40.72336, 40.72536,
40.72782, 40.72536004, 40.72336, np.nan,
40.71081, 40.7121, 40.71081, 40.71281,
40.7141, 40.71281002, 40.71081, np.nan,
40.70068, 40.71621, 40.71821, 40.70268025,
40.70068, np.nan, 40.79654, 40.69947,
40.70147, 40.79853872, 40.79654, np.nan,
40.84501, 40.80199, 40.80399, 40.84700952,
40.84501, np.nan])
np.testing.assert_allclose(lats, lats_d, atol=0.001)
lons = rupture.lons
lons_d = np.array([29.51528, 29.3376, 29.3376, 29.51528005,
29.51528, np.nan, 29.87519, 29.61152,
29.61152, 29.87519021, 29.87519, np.nan,
30.11126, 29.88662, 30.11126, 30.11126,
29.88662, 30.11126, 30.11126, np.nan,
30.4654, 30.30494, 30.4654, 30.4654,
30.30494, 30.4654, 30.4654, np.nan,
30.63731, 30.57658, 30.57658, 30.63731011,
30.63731, np.nan, 30.93655, 30.729,
30.729, 30.93655103, 30.93655, np.nan,
31.01799, 30.94688, 30.94688, 31.0179905,
31.01799, np.nan])
np.testing.assert_allclose(lons, lons_d, atol=0.001)
def test_EdgeRupture():
# Rupture requires an origin even when not used:
origin = Origin({'id': 'test',
'lon': 0, 'lat': 0,
'depth': 5.0, 'mag': 7.0, 'netid': 'us',
'network': '', 'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())})
file = os.path.join(homedir, 'rupture_data/cascadia.json')
rup = get_rupture(origin, file)
np.testing.assert_allclose(rup.getArea(), 105635.92827547337)
# Force read Northridge as EdgeRupture
file = os.path.join(homedir, 'rupture_data/northridge_fault.txt')
d = text_to_json(file, new_format=True)
rupt = EdgeRupture(d, origin)
strike = rupt.getStrike()
np.testing.assert_allclose(strike, 121.97, atol=0.01)
dip = rupt.getDip()
np.testing.assert_allclose(dip, 40.12, atol=0.01)
L = rupt.getLength()
np.testing.assert_allclose(L, 17.99, atol=0.01)
W = rupt.getWidth()
np.testing.assert_allclose(W, 23.92, atol=0.01)
ztor = rupt.getDepthToTop()
np.testing.assert_allclose(ztor, 5, atol=0.01)
# And again for the same vertices but reversed order
file = os.path.join(homedir, 'rupture_data/northridge_fixed_fault.txt')
d = text_to_json(file, new_format=True)
rupt = EdgeRupture(d, origin)
strike = rupt.getStrike()
np.testing.assert_allclose(strike, 121.97, atol=0.01)
dip = rupt.getDip()
np.testing.assert_allclose(dip, 40.12, atol=0.01)
L = rupt.getLength()
np.testing.assert_allclose(L, 17.99, atol=0.01)
W = rupt.getWidth()
np.testing.assert_allclose(W, 23.92, atol=0.01)
ztor = rupt.getDepthToTop()
np.testing.assert_allclose(ztor, 5, atol=0.01)
# Test for fromArrays method
toplats = np.array([37.0, 38.0])
toplons = np.array([-120.0, -120.0])
topdeps = np.array([0.0, 0.0])
botlats = copy.copy(toplats)
botlons = copy.copy(toplons)
botdeps = np.array([10.0, 10.0])
erup = EdgeRupture.fromArrays(toplons, toplats, topdeps, botlons, botlats,
botdeps, origin)
# Error: array lengths differ
with pytest.raises(ShakeLibException) as e:
qrup = QuadRupture.fromVertices(
[toplons[0]], [toplats[0]], [topdeps[0]],
[toplons[1]], [toplats[1]], [topdeps[1]],
[botlons[1]], [botlats[1]], [botdeps[1]],
[botlons[0]], [botlats[0]], [botdeps[0]][:-1],
origin)
print(str(e))
# Error: group index too long
with pytest.raises(ShakeLibException) as e:
qrup = QuadRupture.fromVertices(
[toplons[0]], [toplats[0]], [topdeps[0]],
[toplons[1]], [toplats[1]], [topdeps[1]],
[botlons[1]], [botlats[1]], [botdeps[1]],
[botlons[0]], [botlats[0]], [botdeps[0]],
origin, group_index=[0, 0, 0, 0, 0, 0])
print(str(e))
qrup = QuadRupture.fromVertices(
[toplons[0]], [toplats[0]], [topdeps[0]],
[toplons[1]], [toplats[1]], [topdeps[1]],
[botlons[1]], [botlats[1]], [botdeps[1]],
[botlons[0]], [botlats[0]], [botdeps[0]],
origin)
np.testing.assert_allclose(erup.getArea(), 1108.9414759967776)
np.testing.assert_allclose(erup.getDepthToTop(), 0)
np.testing.assert_allclose(erup.getLength(), 111.19492664455889)
np.testing.assert_allclose(
erup.lats, np.array([37., 38., 38., 37., 37., np.nan]))
np.testing.assert_allclose(
erup.lons, np.array([-120., -120., -120., -120., -120., np.nan]))
np.testing.assert_allclose(
erup.depths, np.array([0., 0., 10., 10., 0., np.nan]))
np.testing.assert_allclose(
erup._getGroupIndex(), np.array([0., 0.]))
quads = erup.getQuadrilaterals()
np.testing.assert_allclose(quads[0][0].x, -120.0)
# Need to also test the distances with EdgeRupture
lons = np.linspace(-120.1, -121.0, 10)
lats = np.linspace(37.0, 38, 10)
deps = np.zeros_like(lons)
rrup1, _ = qrup.computeRrup(lons, lats, deps)
rrup2, _ = erup.computeRrup(lons, lats, deps)
np.testing.assert_allclose(rrup1, rrup2, atol=2e-2)
rjb1, _ = qrup.computeRjb(lons, lats, deps)
rjb2, _ = erup.computeRjb(lons, lats, deps)
np.testing.assert_allclose(rjb1, rjb2, atol=2e-2)
gc2 = erup.computeGC2(lons, lats, deps)
targetRy0 = np.array(
[0., 0., 0., 0., 0.,
0., 0., 0., 0., 0.67335931])
targetRx = np.array(
[-8.88024949, -17.73390996, -26.56167797, -35.3634266,
-44.13902929, -52.88835984, -61.61129242, -70.30770154,
-78.97746209, -87.6204493])
np.testing.assert_allclose(gc2['ry0'], targetRy0)
np.testing.assert_allclose(gc2['rx'], targetRx)
def test_ss3_move_hypo1():
magnitude = 7.2
dip = np.array([90])
rake = 180.0
width = np.array([15])
rupx = np.array([0, 0])
rupy = np.array([0, 80])
zp = np.array([0.0])
epix = np.array([1.0])
epiy = np.array([-1.0])
# Convert to lat/lon
proj = geo.utils.get_orthographic_projection(-122, -120, 39, 37)
tlon, tlat = proj(rupx, rupy, reverse=True)
epilon, epilat = proj(epix, epiy, reverse=True)
# Origin
origin = Origin({'lat': epilat[0],
'lon': epilon[0],
'depth': -1,
'mag': magnitude,
'eventsourcecode': 'ss3',
'rake': rake})
rup = QuadRupture.fromTrace(
np.array([tlon[0]]), np.array([tlat[0]]),
np.array([tlon[1]]), np.array([tlat[1]]),
zp, width, dip, origin, reference='ss3')
x = np.linspace(0, 20, 6)
y = np.linspace(0, 90, 11)
site_x, site_y = np.meshgrid(x, y)
slon, slat = proj(site_x, site_y, reverse=True)
deps = np.zeros_like(slon)
test1 = Bayless2013(origin, rup, slat, slon, deps, T=1.0)
phyp = copy.deepcopy(test1.phyp[0])
plat, plon, pdep = ecef2latlon(phyp.x, phyp.y, phyp.z)
px, py = proj(plon, plat, reverse=False)
np.testing.assert_allclose(plat, 38.004233219183604, rtol=1e-4)
np.testing.assert_allclose(plon, -120.98636122402166, rtol=1e-4)
np.testing.assert_allclose(pdep, 7.4999999989205968, rtol=1e-4)
# --------------------------------------------------------------------------
# Also for multiple segments
# --------------------------------------------------------------------------
dip = np.array([90., 90., 90.])
rake = 180.0
width = np.array([15., 15., 10.])
rupx = np.array([0., 0., 10., 20.])
rupy = np.array([0., 20., 60., 80.])
zp = np.array([0., 0., 0.])
epix = np.array([0.])
epiy = np.array([0.])
# Convert to lat/lon
proj = geo.utils.get_orthographic_projection(-122, -120, 39, 37)
tlon, tlat = proj(rupx, rupy, reverse=True)
epilon, epilat = proj(epix, epiy, reverse=True)
rup = QuadRupture.fromTrace(
np.array(tlon[0:3]), np.array(tlat[0:3]),
np.array(tlon[1:4]), np.array(tlat[1:4]),
zp, width, dip, origin, reference='')
event = {'lat': epilat[0],
'lon': epilon[0],
'depth': 1.0,
'mag': magnitude,
'eventsourcecode': '',
'locstring': 'test',
'type': 'SS',
'timezone': 'UTC'}
event['time'] = HistoricTime.utcfromtimestamp(int(time.time()))
event['created'] = HistoricTime.utcfromtimestamp(int(time.time()))
x = np.linspace(0, 20, 6)
y = np.linspace(0, 90, 11)
site_x, site_y = np.meshgrid(x, y)
slon, slat = proj(site_x, site_y, reverse=True)
deps = np.zeros_like(slon)
origin = Origin(event)
origin.rake = rake
test1 = Bayless2013(origin, rup, slat, slon, deps, T=1.0)
# 1st pseudo-hyp
phyp = copy.deepcopy(test1.phyp[0])
plat, plon, pdep = ecef2latlon(phyp.x, phyp.y, phyp.z)
px, py = proj(plon, plat, reverse=False)
np.testing.assert_allclose(plat, 38.004233219183604, rtol=1e-4)
np.testing.assert_allclose(plon, -120.98636122402166, rtol=1e-4)
np.testing.assert_allclose(pdep, 7.4999999989205968, rtol=1e-4)
# 2nd pseudo-hyp
phyp = copy.deepcopy(test1.phyp[1])
plat, plon, pdep = ecef2latlon(phyp.x, phyp.y, phyp.z)
px, py = proj(plon, plat, reverse=False)
np.testing.assert_allclose(plat, 38.184097835787796, rtol=1e-4)
np.testing.assert_allclose(plon, -120.98636122402166, rtol=1e-4)
np.testing.assert_allclose(pdep, 7.4999999989103525, rtol=1e-4)
# 3rd pseudo-hyp
phyp = copy.deepcopy(test1.phyp[2])
plat, plon, pdep = ecef2latlon(phyp.x, phyp.y, phyp.z)
px, py = proj(plon, plat, reverse=False)
np.testing.assert_allclose(plat, 38.543778594535752, rtol=1e-4)
np.testing.assert_allclose(plon, -120.87137783362499, rtol=1e-4)
np.testing.assert_allclose(pdep, 4.9999999995063993, rtol=1e-4)
def test_rupture_depth(interactive=False):
DIP = 17.0
WIDTH = 20.0
GRIDRES = 0.1
names = ['single', 'double', 'triple',
'concave', 'concave_simple', 'ANrvSA']
means = [3.1554422780092461, 2.9224454569459781,
3.0381968625073563, 2.0522694624400271,
2.4805390352818755, 2.8740121776209673]
stds = [2.1895293825074575, 2.0506459673526174,
2.0244588429154402, 2.0112565876976416,
2.1599789955270019, 1.6156220309120068]
xp0list = [np.array([118.3]),
np.array([10.1, 10.1]),
np.array([10.1, 10.1, 10.3]),
np.array([10.9, 10.5, 10.9]),
np.array([10.9, 10.6]),
np.array([-76.483, -76.626, -76.757, -76.99, -77.024, -76.925,
-76.65, -76.321, -75.997, -75.958])]
xp1list = [np.array([118.3]),
np.array([10.1, 10.3]),
np.array([10.1, 10.3, 10.1]),
np.array([10.5, 10.9, 11.3]),
np.array([10.6, 10.9]),
np.array([-76.626, -76.757, -76.99, -77.024, -76.925, -76.65,
-76.321, -75.997, -75.958, -76.006])]
yp0list = [np.array([34.2]),
np.array([34.2, 34.5]),
np.array([34.2, 34.5, 34.8]),
np.array([34.2, 34.5, 34.8]),
np.array([35.1, 35.2]),
np.array([-52.068, -51.377, -50.729, -49.845, -49.192, -48.507,
-47.875, -47.478, -47.08, -46.422])]
yp1list = [np.array([34.5]),
np.array([34.5, 34.8]),
np.array([34.5, 34.8, 35.1]),
np.array([34.5, 34.8, 34.6]),
np.array([35.2, 35.4]),
np.array([-51.377, -50.729, -49.845, -49.192, -48.507, -47.875,
-47.478, -47.08, -46.422, -45.659])]
for i in range(0, len(xp0list)):
xp0 = xp0list[i]
xp1 = xp1list[i]
yp0 = yp0list[i]
yp1 = yp1list[i]
name = names[i]
mean_value = means[i]
std_value = stds[i]
zp = np.zeros(xp0.shape)
strike = azimuth(xp0[0], yp0[0], xp1[-1], yp1[-1])
widths = np.ones(xp0.shape) * WIDTH
dips = np.ones(xp0.shape) * DIP
strike = [strike]
origin = Origin({'id': 'test',
'lon': 0, 'lat': 0,
'depth': 5.0, 'mag': 7.0, 'netid': 'us',
'network': '', 'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())})
rupture = QuadRupture.fromTrace(
xp0, yp0, xp1, yp1, zp, widths, dips, origin, strike=strike)
# make a grid of points over both quads, ask for depths
ymin = np.nanmin(rupture.lats)
ymax = np.nanmax(rupture.lats)
xmin = np.nanmin(rupture.lons)
xmax = np.nanmax(rupture.lons)
xmin = np.floor(xmin * (1 / GRIDRES)) / (1 / GRIDRES)
xmax = np.ceil(xmax * (1 / GRIDRES)) / (1 / GRIDRES)
ymin = np.floor(ymin * (1 / GRIDRES)) / (1 / GRIDRES)
ymax = np.ceil(ymax * (1 / GRIDRES)) / (1 / GRIDRES)
geodict = GeoDict.createDictFromBox(
xmin, xmax, ymin, ymax, GRIDRES, GRIDRES)
nx = geodict.nx
ny = geodict.ny
depths = np.zeros((ny, nx))
for row in range(0, ny):
for col in range(0, nx):
lat, lon = geodict.getLatLon(row, col)
depth = rupture.getDepthAtPoint(lat, lon)
depths[row, col] = depth
np.testing.assert_almost_equal(np.nanmean(depths), mean_value)
np.testing.assert_almost_equal(np.nanstd(depths), std_value)
if interactive:
fig, axes = plt.subplots(nrows=2, ncols=1)
ax1, ax2 = axes
xdata = np.append(xp0, xp1[-1])
ydata = np.append(yp0, yp1[-1])
plt.sca(ax1)
plt.plot(xdata, ydata, 'b')
plt.sca(ax2)
im = plt.imshow(depths, cmap='viridis_r') # noqa
ch = plt.colorbar() # noqa
fname = os.path.join(os.path.expanduser('~'),
'quad_%s_test.png' % name)
print('Saving image for %s quad test... %s' % (name, fname))
plt.savefig(fname)
plt.close()
def test_EdgeRupture_vs_QuadRupture():
# Sites stuff
cx = -122.15
cy = 37.15
dx = 0.01
dy = 0.01
xspan = 1.5
yspan = 1.5
west = cx - xspan / 2.0
east = cx + xspan / 2.0
south = cy - yspan / 2.0
north = cy + yspan / 2.0
nx = np.ceil(((east - west - EPS) / dx) + 1)
ny = np.ceil(((north - south - EPS) / dy) + 1)
lats = np.linspace(north, south, ny)
lons = np.linspace(west, east, nx)
lon, lat = np.meshgrid(lons, lats)
dep = np.zeros_like(lon)
# Construct QuadRupture
xp0 = np.array([-122.0, -122.5])
yp0 = np.array([37.1, 37.4])
xp1 = np.array([-121.7, -122.3])
yp1 = np.array([37.2, 37.2])
zp = np.array([0, 6])
widths = np.array([30, 20])
dips = np.array([30, 40])
origin = Origin({
'lat': 33.15,
'lon': -122.15,
'depth': 0,
'mag': 7.2,
'id': '',
'netid': '',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
qrup = QuadRupture.fromTrace(xp0, yp0, xp1, yp1, zp, widths, dips, origin)
rrup_q, _ = qrup.computeRrup(lon, lat, dep)
rjb_q, _ = qrup.computeRjb(lon, lat, dep)
# Construct equivalent EdgeRupture
toplons = np.array([-122.0, -121.7, -122.5, -122.3])
toplats = np.array([37.1, 37.2, 37.4, 37.2])
topdeps = np.array([0, 0, 6, 6])
botlons = np.array([-121.886864, -121.587568, -122.635467, -122.435338])
botlats = np.array([36.884527, 36.984246, 37.314035, 37.114261])
botdeps = np.array([15.0000, 14.9998, 18.8558, 18.8559])
group_index = [0, 0, 1, 1]
erup = EdgeRupture.fromArrays(toplons, toplats, topdeps, botlons, botlats,
botdeps, origin, group_index)
rrup_e, _ = erup.computeRrup(lon, lat, dep)
rjb_e, _ = erup.computeRjb(lon, lat, dep)
# Check that QuadRupture and EdgeRupture give the same result
# (we check the absolute values of QuadRupture elsewhere)
np.testing.assert_allclose(rrup_e, rrup_q, atol=0.35)
np.testing.assert_allclose(rjb_e, rjb_q, atol=0.35)
def test_incorrect():
# Number of points in polyon is even
rupture_text = """# Source: Ji, C., D. V. Helmberger, D. J. Wald, and \
K.-F. Ma (2003). Slip history and dynamic implications of the 1999 Chi-Chi, \
Taiwan, earthquake, J. Geophys. Res. 108, 2412, doi:10.1029/2002JB001764.
120.72300 24.27980 0
121.00000 24.05000 17
121.09300 24.07190 17
121.04300 24.33120 17
121.04300 24.33120 17
120.72300 24.27980 0
>
120.72300 24.27980 0
120.68000 23.70000 0
120.97200 23.60400 17
121.00000 24.05000 17
120.72300 24.27980 0
>
120.97200 23.60400 17
120.68000 23.70000 0
120.58600 23.58850 0
120.78900 23.40240 17
120.97200 23.60400 17""" # noqa
# Rupture requires an origin even when not used:
origin = Origin({'id': 'test',
'lon': 0, 'lat': 0,
'depth': 5.0, 'mag': 7.0, 'netid': 'us',
'network': '', 'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())})
cbuf = io.StringIO(rupture_text)
with pytest.raises(Exception):
get_rupture(origin, cbuf)
# Top points must be first
rupture_text = """# Test
120.72300 24.27980 0
121.00000 24.05000 17
121.09300 24.07190 17
121.04300 24.33120 17
120.72300 24.27980 0""" # noqa
cbuf = io.StringIO(rupture_text)
with pytest.raises(Exception):
get_rupture(origin, cbuf)
# Wrong order of lat/lon
rupture_text = """# Test
-118.421 34.315 5.000
-118.587 34.401 5.000
-118.693 34.261 20.427
-118.527 34.175 20.427
-118.421 34.315 5.000
""" # noqa
cbuf = io.StringIO(rupture_text)
with pytest.raises(Exception):
get_rupture(origin, cbuf, new_format=False)
# Wrong order of lat/lon
rupture_text = """# Test
34.315 -118.421 5.000
34.401 -118.587 5.000
34.261 -118.693 20.427
34.175 -118.527 20.427
34.315 -118.421 5.000
""" # noqa
cbuf = io.StringIO(rupture_text)
with pytest.raises(Exception):
get_rupture(origin, cbuf, new_format=True)
# Unclosed segments
rupture_text = """# Test
34.315 -118.421 5.000
34.401 -118.587 5.000
34.261 -118.693 20.427
34.175 -118.527 20.427
34.315 -118.6 5.000
""" # noqa
cbuf = io.StringIO(rupture_text)
with pytest.raises(Exception):
get_rupture(origin, cbuf, new_format=False)
# incorrect delimiter
rupture_text = """#Test
34.315;-118.421;5.000
34.401;-118.587;5.000
34.261;-118.693;20.427
34.175;-118.527;20.427
34.315;-118.421;5.000
""" # noqa
cbuf = io.StringIO(rupture_text)
with pytest.raises(Exception):
get_rupture(origin, cbuf, new_format=False)
# incorrect delimiter, new format
rupture_text = """#Test
34.315;-118.421;5.000
34.401;-118.587;5.000
34.261;-118.693;20.427
34.175;-118.527;20.427
34.315;-118.421;5.000
""" # noqa
cbuf = io.StringIO(rupture_text)
with pytest.raises(Exception):
get_rupture(origin, cbuf, new_format=True)
# Not 3 columns
rupture_text = """#Test
34.315 -118.421;5.000
34.401 -118.587;5.000
34.261 -118.693;20.427
34.175 -118.527;20.427
34.315 -118.421;5.000
""" # noqa
cbuf = io.StringIO(rupture_text)
with pytest.raises(Exception):
get_rupture(origin, cbuf, new_format=False)
# Json incorrect
test = {
"metadata": {
"id": "test",
"mag": 7.0,
"lon": 0,
"mech": "ALL",
"depth": 5.0,
"time": "2018-07-02T22:50:03Z",
"netid": "us",
"rake": 0.0,
"lat": 0,
"network": "",
"locstring": "",
"reference": "Test"
},
"features": [{
"type": "Feature",
"geometry": {
"coordinates": [[
[[-118.421, 34.315, 5.0],
[-118.587, 34.401, 5.0],
[-118.693, 34.261, 20.427],
[-118.527, 34.175, 20.427],
[-118.421, 34.315, 5.0]]]],
"type": "MultiPolygon"
},
"properties":{
"rupture type": "rupture extent"
}
}],
"type": "FeatureCollection"
}
# incorrect type
test_incorrect = copy.deepcopy(test)
test_incorrect['type'] = 'Feature'
with pytest.raises(Exception) as e:
validate_json(test_incorrect)
print(str(e))
# Incorrect number of features
test_incorrect = copy.deepcopy(test)
test_incorrect['features'].append(['wrong'])
with pytest.raises(Exception) as e:
validate_json(test_incorrect)
print(str(e))
# no reference
test_incorrect = copy.deepcopy(test)
test_incorrect['metadata'].pop('reference', None)
with pytest.raises(Exception) as e:
validate_json(test_incorrect)
print(str(e))
# incorrect feature type
test_incorrect = copy.deepcopy(test)
test_incorrect['features'][0]['type'] = 'fred'
with pytest.raises(Exception) as e:
validate_json(test_incorrect)
print(str(e))
# incorrect feature geometry type
test_incorrect = copy.deepcopy(test)
test_incorrect['features'][0]['geometry']['type'] = 'fred'
with pytest.raises(Exception) as e:
validate_json(test_incorrect)
print(str(e))
# no coordinates
test_incorrect = copy.deepcopy(test)
test_incorrect['features'][0]['geometry'].pop('coordinates', None)
with pytest.raises(Exception) as e:
validate_json(test_incorrect)
print(str(e))
def read_event_xml(file):
"""
Read event.xml.
Args:
file (str): Path to event.xml file.
Returns:
dict: Dictionary with event info.
"""
eventtree = ET.parse(file)
eventroot = eventtree.getroot()
for eq in eventroot.iter('earthquake'):
id_str = eq.attrib['id']
magnitude = float(eq.attrib['mag'])
hlat = float(eq.attrib['lat'])
hlon = float(eq.attrib['lon'])
hdepth = float(eq.attrib['depth'])
if 'rake' in eq.attrib.keys():
rake = float(eq.attrib['rake'])
else:
rake = None
lstring = eq.attrib['locstring']
if 'description' in eq.attrib.keys():
description = eq.attrib['description']
else:
description = ""
if 'type' in eq.attrib.keys():
mech = eq.attrib['type']
else:
mech = "ALL"
year = int(eq.attrib['year'])
month = int(eq.attrib['month'])
day = int(eq.attrib['day'])
hour = int(eq.attrib['hour'])
minute = int(eq.attrib['minute'])
second = int(eq.attrib['second'])
if 'directivity' in eq.attrib.keys():
directivity = ast.literal_eval(eq.attrib['directivity'])
else:
directivity = False
if 'eventsourcecode' in eq.attrib.keys():
eventsourcecode = eq.attrib['eventsourcecode']
else:
eventsourcecode = None
sdt = ShakeDateTime(year, month, day, hour, minute, second, int(0))
event = {
'lat': hlat,
'lon': hlon,
'depth': hdepth,
'mag': magnitude,
'rake': rake,
'id': id_str,
'locstring': lstring,
'type': mech,
'mech': mech,
'time': sdt.strftime('%Y-%m-%dT%H:%M:%SZ'),
'timezone': 'UTC',
'directivity': directivity,
'description': description,
'eventsourcecode': eventsourcecode,
'sdt': sdt
}
return event
def test_ss3_move_hypo1():
magnitude = 7.2
dip = np.array([90])
rake = 180.0
width = np.array([15])
rupx = np.array([0, 0])
rupy = np.array([0, 80])
zp = np.array([0.0])
epix = np.array([1.0])
epiy = np.array([-1.0])
# Convert to lat/lon
proj = geo.utils.get_orthographic_projection(-122, -120, 39, 37)
tlon, tlat = proj(rupx, rupy, reverse=True)
epilon, epilat = proj(epix, epiy, reverse=True)
# Origin
origin = Origin({
'lat': epilat[0],
'lon': epilon[0],
'depth': -1,
'mag': magnitude,
'eventsourcecode': 'ss3',
'rake': rake
})
rup = QuadRupture.fromTrace(np.array([tlon[0]]),
np.array([tlat[0]]),
np.array([tlon[1]]),
np.array([tlat[1]]),
zp,
width,
dip,
origin,
reference='ss3')
x = np.linspace(0, 20, 6)
y = np.linspace(0, 90, 11)
site_x, site_y = np.meshgrid(x, y)
slon, slat = proj(site_x, site_y, reverse=True)
deps = np.zeros_like(slon)
test1 = Bayless2013(origin, rup, slat, slon, deps, T=1.0)
phyp = copy.deepcopy(test1.phyp[0])
plat, plon, pdep = ecef2latlon(phyp.x, phyp.y, phyp.z)
px, py = proj(plon, plat, reverse=False)
np.testing.assert_allclose(plat, 38.004233219183604, rtol=1e-4)
np.testing.assert_allclose(plon, -120.98636122402166, rtol=1e-4)
np.testing.assert_allclose(pdep, 7.4999999989205968, rtol=1e-4)
# --------------------------------------------------------------------------
# Also for multiple segments
# --------------------------------------------------------------------------
dip = np.array([90., 90., 90.])
rake = 180.0
width = np.array([15., 15., 10.])
rupx = np.array([0., 0., 10., 20.])
rupy = np.array([0., 20., 60., 80.])
zp = np.array([0., 0., 0.])
epix = np.array([0.])
epiy = np.array([0.])
# Convert to lat/lon
proj = geo.utils.get_orthographic_projection(-122, -120, 39, 37)
tlon, tlat = proj(rupx, rupy, reverse=True)
epilon, epilat = proj(epix, epiy, reverse=True)
rup = QuadRupture.fromTrace(np.array(tlon[0:3]),
np.array(tlat[0:3]),
np.array(tlon[1:4]),
np.array(tlat[1:4]),
zp,
width,
dip,
origin,
reference='')
event = {
'lat': epilat[0],
'lon': epilon[0],
'depth': 1.0,
'mag': magnitude,
'eventsourcecode': '',
'locstring': 'test',
'type': 'SS',
'timezone': 'UTC'
}
event['time'] = HistoricTime.utcfromtimestamp(int(time.time()))
event['created'] = HistoricTime.utcfromtimestamp(int(time.time()))
x = np.linspace(0, 20, 6)
y = np.linspace(0, 90, 11)
site_x, site_y = np.meshgrid(x, y)
slon, slat = proj(site_x, site_y, reverse=True)
deps = np.zeros_like(slon)
origin = Origin(event)
origin.rake = rake
test1 = Bayless2013(origin, rup, slat, slon, deps, T=1.0)
# 1st pseudo-hyp
phyp = copy.deepcopy(test1.phyp[0])
plat, plon, pdep = ecef2latlon(phyp.x, phyp.y, phyp.z)
px, py = proj(plon, plat, reverse=False)
np.testing.assert_allclose(plat, 38.004233219183604, rtol=1e-4)
np.testing.assert_allclose(plon, -120.98636122402166, rtol=1e-4)
np.testing.assert_allclose(pdep, 7.4999999989205968, rtol=1e-4)
# 2nd pseudo-hyp
phyp = copy.deepcopy(test1.phyp[1])
plat, plon, pdep = ecef2latlon(phyp.x, phyp.y, phyp.z)
px, py = proj(plon, plat, reverse=False)
np.testing.assert_allclose(plat, 38.184097835787796, rtol=1e-4)
np.testing.assert_allclose(plon, -120.98636122402166, rtol=1e-4)
np.testing.assert_allclose(pdep, 7.4999999989103525, rtol=1e-4)
# 3rd pseudo-hyp
phyp = copy.deepcopy(test1.phyp[2])
plat, plon, pdep = ecef2latlon(phyp.x, phyp.y, phyp.z)
px, py = proj(plon, plat, reverse=False)
np.testing.assert_allclose(plat, 38.543778594535752, rtol=1e-4)
np.testing.assert_allclose(plon, -120.87137783362499, rtol=1e-4)
np.testing.assert_allclose(pdep, 4.9999999995063993, rtol=1e-4)
def test_ss3():
magnitude = 7.2
dip = np.array([90])
rake = 180.0
width = np.array([15])
rupx = np.array([0, 0])
rupy = np.array([0, 80])
zp = np.array([0])
epix = np.array([0])
epiy = np.array([0.2 * rupy[1]])
# Convert to lat/lon
proj = OrthographicProjection(-122, -120, 39, 37)
tlon, tlat = proj(rupx, rupy, reverse=True)
epilon, epilat = proj(epix, epiy, reverse=True)
# Origin:
origin = Origin({'lat': epilat[0],
'lon': epilon[0],
'depth': 10,
'mag': magnitude,
'id': 'ss3',
'netid': 'us',
'network': '',
'locstring': '',
'rake': rake,
'time': HistoricTime.utcfromtimestamp(int(time.time()))})
rup = QuadRupture.fromTrace(
np.array([tlon[0]]), np.array([tlat[0]]),
np.array([tlon[1]]), np.array([tlat[1]]),
zp, width, dip, origin, reference='ss3')
x = np.linspace(-60, 60, 21)
y = np.linspace(-60, 138, 34)
site_x, site_y = np.meshgrid(x, y)
slon, slat = proj(site_x, site_y, reverse=True)
deps = np.zeros_like(slon)
test1 = Bayless2013(origin, rup, slat, slon, deps, T=1.0)
# Test fd
fd = test1.getFd()
fd_test = np.array(
[[0.00000000e+00, 0.00000000e+00, 2.14620746e-03,
6.47899336e-03, 1.23119791e-02, 1.91676140e-02,
2.64009788e-02, 3.32427846e-02, 3.88863288e-02,
4.26104002e-02, 4.39120296e-02, 4.26104002e-02,
3.88863288e-02, 3.32427846e-02, 2.64009788e-02,
1.91676140e-02, 1.23119791e-02, 6.47899336e-03,
2.14620746e-03, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 8.57780996e-04, 3.99405791e-03,
9.31948105e-03, 1.65406113e-02, 2.51316805e-02,
3.43205435e-02, 4.31274592e-02, 5.04747209e-02,
5.53634169e-02, 5.70796092e-02, 5.53634169e-02,
5.04747209e-02, 4.31274592e-02, 3.43205435e-02,
2.51316805e-02, 1.65406113e-02, 9.31948105e-03,
3.99405791e-03, 8.57780996e-04, 0.00000000e+00],
[-7.32594549e-04, 1.80425497e-04, 3.76908220e-03,
1.00175179e-02, 1.86854835e-02, 2.92291145e-02,
4.07487277e-02, 5.20057177e-02, 6.15509770e-02,
6.79776087e-02, 7.02477931e-02, 6.79776087e-02,
6.15509770e-02, 5.20057177e-02, 4.07487277e-02,
2.92291145e-02, 1.86854835e-02, 1.00175179e-02,
3.76908220e-03, 1.80425497e-04, -7.32594549e-04],
[-3.29238561e-03, -2.60643191e-03, 1.16635260e-03,
8.15185259e-03, 1.82290773e-02, 3.08983182e-02,
4.51608038e-02, 5.94769126e-02, 7.18919113e-02,
8.03888307e-02, 8.34165399e-02, 8.03888307e-02,
7.18919113e-02, 5.94769126e-02, 4.51608038e-02,
3.08983182e-02, 1.82290773e-02, 8.15185259e-03,
1.16635260e-03, -2.60643191e-03, -3.29238561e-03],
[-7.68543266e-03, -7.63179286e-03, -4.08866637e-03,
3.27605236e-03, 1.45558215e-02, 2.94068040e-02,
4.68176355e-02, 6.49397159e-02, 7.72066272e-02,
8.50445368e-02, 8.77974692e-02, 8.50445368e-02,
7.72066272e-02, 6.49397159e-02, 4.68176355e-02,
2.94068040e-02, 1.45558215e-02, 3.27605236e-03,
-4.08866637e-03, -7.63179286e-03, -7.68543266e-03],
[-1.38078234e-02, -1.49011067e-02, -1.21731364e-02,
-5.02168047e-03, 6.98177526e-03, 2.38268531e-02,
4.30419205e-02, 6.00041964e-02, 7.44541603e-02,
8.42939552e-02, 8.77989590e-02, 8.42939552e-02,
7.44541603e-02, 6.00041964e-02, 4.30419205e-02,
2.38268531e-02, 6.98177526e-03, -5.02168047e-03,
-1.21731364e-02, -1.49011067e-02, -1.38078234e-02],
[-2.13780396e-02, -2.42165379e-02, -2.30613142e-02,
-1.70011475e-02, -5.15036128e-03, 1.25885635e-02,
3.24536739e-02, 5.25619351e-02, 7.05100243e-02,
8.31900906e-02, 8.78003567e-02, 8.31900906e-02,
7.05100243e-02, 5.25619351e-02, 3.24536739e-02,
1.25885635e-02, -5.15036128e-03, -1.70011475e-02,
-2.30613142e-02, -2.42165379e-02, -2.13780396e-02],
[-2.98882710e-02, -3.50862342e-02, -3.63793490e-02,
-3.25716319e-02, -2.22546618e-02, -3.59274163e-03,
1.83064517e-02, 4.20112440e-02, 6.46115966e-02,
8.14746164e-02, 8.78016623e-02, 8.14746164e-02,
6.46115966e-02, 4.20112440e-02, 1.83064517e-02,
-3.59274163e-03, -2.22546618e-02, -3.25716319e-02,
-3.63793490e-02, -3.50862342e-02, -2.98882710e-02],
[-3.85810679e-02, -4.66488633e-02, -5.12430987e-02,
-5.10089462e-02, -4.20856023e-02, -2.36905234e-02,
-6.33876287e-04, 2.66765430e-02, 5.53289928e-02,
7.86066125e-02, 8.78028757e-02, 7.86066125e-02,
5.53289928e-02, 2.66765430e-02, -6.33876287e-04,
-2.36905234e-02, -4.20856023e-02, -5.10089462e-02,
-5.12430987e-02, -4.66488633e-02, -3.85810679e-02],
[-4.64803335e-02, -5.76615888e-02, -6.61458422e-02,
-7.06512643e-02, -6.38427394e-02, -4.77258398e-02,
-2.55483969e-02, 4.05840724e-03, 3.98470070e-02,
7.33053399e-02, 8.78039969e-02, 7.33053399e-02,
3.98470070e-02, 4.05840724e-03, -2.55483969e-02,
-4.77258398e-02, -6.38427394e-02, -7.06512643e-02,
-6.61458422e-02, -5.76615888e-02, -4.64803335e-02],
[-5.25038299e-02, -6.66129442e-02, -7.90147081e-02,
-8.87629178e-02, -8.59653118e-02, -7.42828398e-02,
-5.64316505e-02, -2.87083225e-02, 1.25945312e-02,
6.19971667e-02, 8.78050260e-02, 6.19971667e-02,
1.25945312e-02, -2.87083225e-02, -5.64316505e-02,
-7.42828398e-02, -8.59653118e-02, -8.87629178e-02,
-7.90147081e-02, -6.66129442e-02, -5.25038299e-02],
[-5.69779111e-02, -7.36791817e-02, -8.97495345e-02,
-1.04799583e-01, -1.07737239e-01, -1.02875880e-01,
-9.46568471e-02, -7.95630162e-02, -4.96285112e-02,
6.59954795e-03, 5.25569882e-02, 6.59954795e-03,
-4.96285112e-02, -7.95630162e-02, -9.46568471e-02,
-1.02875880e-01, -1.07737239e-01, -1.04799583e-01,
-8.97495345e-02, -7.36791817e-02, -5.69779111e-02],
[-5.90357675e-02, -7.69727119e-02, -9.48442826e-02,
-1.12607620e-01, -1.18744885e-01, -1.18201834e-01,
-1.17217017e-01, -1.15152899e-01, -1.09694433e-01,
-8.82341332e-02, -1.61624035e-02, -8.82341332e-02,
-1.09694433e-01, -1.15152899e-01, -1.17217017e-01,
-1.18201834e-01, -1.18744885e-01, -1.12607620e-01,
-9.48442826e-02, -7.69727119e-02, -5.90357675e-02],
[-5.92189452e-02, -7.72680305e-02, -9.53051857e-02,
-1.13322519e-01, -1.19770917e-01, -1.19670660e-01,
-1.19486798e-01, -1.19092639e-01, -1.17989113e-01,
-1.12555820e-01, -4.50009776e-02, -1.12555820e-01,
-1.17989113e-01, -1.19092639e-01, -1.19486798e-01,
-1.19670660e-01, -1.19770917e-01, -1.13322519e-01,
-9.53051857e-02, -7.72680305e-02, -5.92189452e-02],
[-5.79249958e-02, -7.51927112e-02, -9.20842554e-02,
-1.08361430e-01, -1.12722790e-01, -1.09732675e-01,
-1.04531672e-01, -9.44729544e-02, -7.23277773e-02,
-2.05699911e-02, 3.58249631e-02, -2.05699911e-02,
-7.23277773e-02, -9.44729544e-02, -1.04531672e-01,
-1.09732675e-01, -1.12722790e-01, -1.08361430e-01,
-9.20842554e-02, -7.51927112e-02, -5.79249958e-02],
[-5.42527703e-02, -6.93641123e-02, -8.31684773e-02,
-9.49114165e-02, -9.41989454e-02, -8.48645354e-02,
-7.00894708e-02, -4.58286259e-02, -6.37563061e-03,
4.68887998e-02, 7.77968419e-02, 4.68887998e-02,
-6.37563061e-03, -4.58286259e-02, -7.00894708e-02,
-8.48645354e-02, -9.41989454e-02, -9.49114165e-02,
-8.31684773e-02, -6.93641123e-02, -5.42527703e-02],
[-4.82490057e-02, -5.99997941e-02, -6.91786120e-02,
-7.44891242e-02, -6.73705808e-02, -5.13001284e-02,
-2.84188057e-02, 3.60143816e-03, 4.47470123e-02,
8.58663851e-02, 1.04548354e-01, 8.58663851e-02,
4.47470123e-02, 3.60143816e-03, -2.84188057e-02,
-5.13001284e-02, -6.73705808e-02, -7.44891242e-02,
-6.91786120e-02, -5.99997941e-02, -4.82490057e-02],
[-4.03203010e-02, -4.79063206e-02, -5.16352259e-02,
-4.98707253e-02, -3.67295509e-02, -1.57342058e-02,
1.13668830e-02, 4.46551184e-02, 8.10450840e-02,
1.11780747e-01, 1.24226598e-01, 1.11780747e-01,
8.10450840e-02, 4.46551184e-02, 1.13668830e-02,
-1.57342058e-02, -3.67295509e-02, -4.98707253e-02,
-5.16352259e-02, -4.79063206e-02, -4.03203010e-02],
[-3.10250239e-02, -3.40796094e-02, -3.22089254e-02,
-2.37094100e-02, -5.85463114e-03, 1.77402761e-02,
4.57786845e-02, 7.69637052e-02, 1.07537652e-01,
1.30906328e-01, 1.39800436e-01, 1.30906328e-01,
1.07537652e-01, 7.69637052e-02, 4.57786845e-02,
1.77402761e-02, -5.85463114e-03, -2.37094100e-02,
-3.22089254e-02, -3.40796094e-02, -3.10250239e-02],
[-2.09301700e-02, -1.94475962e-02, -1.22970199e-02,
2.07296407e-03, 2.31516868e-02, 4.74574033e-02,
7.44743481e-02, 1.02380049e-01, 1.27776301e-01,
1.46003379e-01, 1.52690015e-01, 1.46003379e-01,
1.27776301e-01, 1.02380049e-01, 7.44743481e-02,
4.74574033e-02, 2.31516868e-02, 2.07296407e-03,
-1.22970199e-02, -1.94475962e-02, -2.09301700e-02],
[-1.05257992e-02, -4.74329696e-03, 7.12107274e-03,
2.63431361e-02, 4.93709790e-02, 7.31527220e-02,
9.82233938e-02, 1.22728059e-01, 1.43894925e-01,
1.58465026e-01, 1.63685984e-01, 1.58465026e-01,
1.43894925e-01, 1.22728059e-01, 9.82233938e-02,
7.31527220e-02, 4.93709790e-02, 2.63431361e-02,
7.12107274e-03, -4.74329696e-03, -1.05257992e-02],
[-1.89098657e-04, 9.52392382e-03, 2.54577716e-02,
4.85730869e-02, 7.26048516e-02, 9.51726659e-02,
1.17988523e-01, 1.39380421e-01, 1.57176612e-01,
1.69076915e-01, 1.73274075e-01, 1.69076915e-01,
1.57176612e-01, 1.39380421e-01, 1.17988523e-01,
9.51726659e-02, 7.26048516e-02, 4.85730869e-02,
2.54577716e-02, 9.52392382e-03, -1.89098657e-04],
[9.81732797e-03, 2.30419581e-02, 4.24234701e-02,
6.86213308e-02, 9.30164618e-02, 1.14050063e-01,
1.34620894e-01, 1.53304069e-01, 1.68420867e-01,
1.78321253e-01, 1.81774183e-01, 1.78321253e-01,
1.68420867e-01, 1.53304069e-01, 1.34620894e-01,
1.14050063e-01, 9.30164618e-02, 6.86213308e-02,
4.24234701e-02, 2.30419581e-02, 9.81732797e-03],
[1.93290725e-02, 3.56493099e-02, 5.79271157e-02,
8.65611122e-02, 1.10914315e-01, 1.30317702e-01,
1.48798006e-01, 1.65173224e-01, 1.78147031e-01,
1.86513895e-01, 1.89408199e-01, 1.86513895e-01,
1.78147031e-01, 1.65173224e-01, 1.48798006e-01,
1.30317702e-01, 1.10914315e-01, 8.65611122e-02,
5.79271157e-02, 3.56493099e-02, 1.93290725e-02],
[2.68168937e-02, 4.52356810e-02, 6.92261217e-02,
9.89630241e-02, 1.23093435e-01, 1.40640067e-01,
1.56998943e-01, 1.71215219e-01, 1.82297185e-01,
1.89360704e-01, 1.91789146e-01, 1.89360704e-01,
1.82297185e-01, 1.71215219e-01, 1.56998943e-01,
1.40640067e-01, 1.23093435e-01, 9.89630241e-02,
6.92261217e-02, 4.52356810e-02, 2.68168937e-02],
[3.19403269e-02, 5.15051953e-02, 7.61032066e-02,
1.05705197e-01, 1.31722206e-01, 1.47466588e-01,
1.61892450e-01, 1.74235616e-01, 1.83735386e-01,
1.89735533e-01, 1.91788616e-01, 1.89735533e-01,
1.83735386e-01, 1.74235616e-01, 1.61892450e-01,
1.47466588e-01, 1.31722206e-01, 1.05705197e-01,
7.61032066e-02, 5.15051953e-02, 3.19403269e-02],
[3.48604070e-02, 5.49292382e-02, 7.94274234e-02,
1.08149011e-01, 1.38923419e-01, 1.53070440e-01,
1.65849067e-01, 1.76646162e-01, 1.84871647e-01,
1.90029617e-01, 1.91787948e-01, 1.90029617e-01,
1.84871647e-01, 1.76646162e-01, 1.65849067e-01,
1.53070440e-01, 1.38923419e-01, 1.08149011e-01,
7.94274234e-02, 5.49292382e-02, 3.48604070e-02],
[3.53402022e-02, 5.53653759e-02, 7.91965502e-02,
1.06486934e-01, 1.36563003e-01, 1.57713955e-01,
1.69087164e-01, 1.78598269e-01, 1.85784340e-01,
1.90264452e-01, 1.91787141e-01, 1.90264452e-01,
1.85784340e-01, 1.78598269e-01, 1.69087164e-01,
1.57713955e-01, 1.36563003e-01, 1.06486934e-01,
7.91965502e-02, 5.53653759e-02, 3.53402022e-02],
[3.32889822e-02, 5.28319225e-02, 7.55769079e-02,
1.01077605e-01, 1.28592068e-01, 1.57023616e-01,
1.71766715e-01, 1.80199729e-01, 1.86528091e-01,
1.90454829e-01, 1.91786196e-01, 1.90454829e-01,
1.86528091e-01, 1.80199729e-01, 1.71766715e-01,
1.57023616e-01, 1.28592068e-01, 1.01077605e-01,
7.55769079e-02, 5.28319225e-02, 3.32889822e-02],
[2.87295370e-02, 4.74613283e-02, 6.88388861e-02,
9.23568989e-02, 1.17254645e-01, 1.42483223e-01,
1.66695764e-01, 1.81528776e-01, 1.87141877e-01,
1.90611190e-01, 1.91785112e-01, 1.90611190e-01,
1.87141877e-01, 1.81528776e-01, 1.66695764e-01,
1.42483223e-01, 1.17254645e-01, 9.23568989e-02,
6.88388861e-02, 4.74613283e-02, 2.87295370e-02],
[2.17650266e-02, 3.94568191e-02, 5.93023344e-02,
8.07720575e-02, 1.03124482e-01, 1.25394282e-01,
1.46405870e-01, 1.64828303e-01, 1.79288925e-01,
1.88553222e-01, 1.91747252e-01, 1.88553222e-01,
1.79288925e-01, 1.64828303e-01, 1.46405870e-01,
1.25394282e-01, 1.03124482e-01, 8.07720575e-02,
5.93023344e-02, 3.94568191e-02, 2.17650266e-02],
[1.25495284e-02, 2.90572166e-02, 4.72972116e-02,
6.67423656e-02, 8.66951873e-02, 1.06290296e-01,
1.24520131e-01, 1.40293247e-01, 1.52531693e-01,
1.60303860e-01, 1.62970689e-01, 1.60303860e-01,
1.52531693e-01, 1.40293247e-01, 1.24520131e-01,
1.06290296e-01, 8.66951873e-02, 6.67423656e-02,
4.72972116e-02, 2.90572166e-02, 1.25495284e-02],
[1.26441934e-03, 1.65114811e-02, 3.31390978e-02,
5.06407706e-02, 6.83765492e-02, 8.55839448e-02,
1.01408074e-01, 1.14955639e-01, 1.25373662e-01,
1.31946425e-01, 1.34193829e-01, 1.31946425e-01,
1.25373662e-01, 1.14955639e-01, 1.01408074e-01,
8.55839448e-02, 6.83765492e-02, 5.06407706e-02,
3.31390978e-02, 1.65114811e-02, 1.26441934e-03],
[0.00000000e+00, 2.06213867e-03, 1.71162845e-02,
3.27888240e-02, 4.85026462e-02, 6.35932476e-02,
7.73387997e-02, 8.90069217e-02, 9.79166934e-02,
1.03509489e-01, 1.05416736e-01, 1.03509489e-01,
9.79166934e-02, 8.90069217e-02, 7.73387997e-02,
6.35932476e-02, 4.85026462e-02, 3.27888240e-02,
1.71162845e-02, 2.06213867e-03, 0.00000000e+00]]
)
np.testing.assert_allclose(fd, fd_test, rtol=1e-4)
def __init__(self, event):
"""
Construct an Origin object.
Args:
event (dict): Dictionary of values. See list above for required
keys.
Returns:
Origin object.
Raises:
ValueError: When input time is not and cannot be converted to
HistoricTime object.
"""
# ---------------------------------------------------------------------
# Check for missing keys
# ---------------------------------------------------------------------
missing = []
for req in constants.ORIGIN_REQUIRED_KEYS:
if req not in list(event.keys()):
missing.append(req)
if len(missing):
raise Exception('Input event dictionary is missing the following '
'required keys: "%s"' % (','.join(missing)))
# ---------------------------------------------------------------------
# Check some types, ranges, and defaults
# ---------------------------------------------------------------------
if not type(event['eventsourcecode']) is str:
raise Exception('eventsourcecode must be a string.')
if (event['lat'] > 90) or (event['lat'] < -90):
raise Exception('lat must be between -90 and 90 degrees.')
if (event['lon'] > 180) or (event['lon'] < -180):
raise Exception('lat must be between -180 and 180 degrees.')
# make sure that time is an HistoricTime instance
if 'time' in event:
if isinstance(event['time'],str):
try:
event['time'] = HistoricTime.strptime(event['time'],TIMEFMT)
except ValueError:
fmt = 'Input time string %s cannot be converted to datetime.'
raise ValueError(fmt % event['time'])
if 'mech' in event.keys():
if event['mech'] == '':
event['mech'] = constants.DEFAULT_MECH
if not event['mech'] in constants.RAKEDICT.keys():
raise Exception('mech must be SS, NM, RS, or ALL.')
elif 'type' in event.keys():
event['mech'] = event['type']
if event['mech'] == '':
event['mech'] = constants.DEFAULT_MECH
if not event['mech'] in constants.RAKEDICT.keys():
raise Exception('mech must be SS, NM, RS, or ALL.')
else:
event['mech'] = constants.DEFAULT_MECH
# ---------------------------------------------------------------------
# Add keys as class attributes
# ---------------------------------------------------------------------
for k, v in event.items():
if k == 'rake':
setattr(self, k, float(v))
else:
setattr(self, k, v)
# What about rake?
if not hasattr(self, 'rake'):
if hasattr(self, 'mech'):
mech = self.mech
self.rake = constants.RAKEDICT[mech]
else:
self.rake = constants.RAKEDICT['ALL']
if self.rake is None:
self.rake = 0.0
def test_ss3_m6():
magnitude = 6.0
dip = np.array([90])
rake = 180.0
width = np.array([15])
rupx = np.array([0, 0])
rupy = np.array([0, 80])
zp = np.array([0])
epix = np.array([0])
epiy = np.array([0.2 * rupy[1]])
# Convert to lat/lon
proj = OrthographicProjection(-122, -120, 39, 37)
tlon, tlat = proj(rupx, rupy, reverse=True)
epilon, epilat = proj(epix, epiy, reverse=True)
# Origin:
origin = Origin({'lat': epilat[0],
'lon': epilon[0],
'depth': 10,
'mag': magnitude,
'id': 'ss3',
'netid': '',
'network': '',
'locstring': '',
'rake': rake,
'time': HistoricTime.utcfromtimestamp(int(time.time()))})
rup = QuadRupture.fromTrace(
np.array([tlon[0]]), np.array([tlat[0]]),
np.array([tlon[1]]), np.array([tlat[1]]),
zp, width, dip, origin, reference='ss3')
x = np.linspace(0, 20, 6)
y = np.linspace(0, 90, 11)
site_x, site_y = np.meshgrid(x, y)
slon, slat = proj(site_x, site_y, reverse=True)
deps = np.zeros_like(slon)
test1 = Bayless2013(origin, rup, slat, slon, deps, T=1.0)
# Test fd
fd = test1.getFd()
fd_test = np.array(
[[0.05853668, 0.05032323, 0.0306438, 0.00839635, -0.01102162,
-0.02621319],
[0.01720501, -0.00687296, -0.03804823, -0.05547473, -0.0644932,
-0.06947135],
[-0.03000065, -0.07006634, -0.07708165, -0.07865941, -0.0792369,
-0.07950887],
[0.0398062, 0.02571145, -0.0018651, -0.0255418, -0.04176278,
-0.05235095],
[0.0696989, 0.06389524, 0.04890304, 0.02983134, 0.01098535,
-0.00545921],
[0.088278, 0.08511069, 0.07628596, 0.06350294, 0.04875897,
0.03373495],
[0.10179334, 0.09978475, 0.09401676, 0.0851842, 0.07422509,
0.06210369],
[0.11242209, 0.11102701, 0.10696056, 0.10055471, 0.09229027,
0.08271454],
[0.12118279, 0.12015315, 0.11712653, 0.11228058, 0.10588323,
0.09825795],
[0.12785957, 0.12706892, 0.12473264, 0.12095384, 0.11589197,
0.10974684],
[0.12785908, 0.12724852, 0.12543819, 0.12249026, 0.11850249,
0.11360047]])
np.testing.assert_allclose(
fd, fd_test, rtol=1e-4)