def test_calc_event_activity_generation_min_mag(self):
# Create an event set
Mw = [7.65, 7.75, 7.85, 7.95 ]
event_set = Dummy_event_set(array(Mw))
# Create a list of Sources - eventually
(handle, file_name) = tempfile.mkstemp('.xml', __name__+'_')
os.close(handle)
handle = open(file_name,'w')
sample = '\n'.join(['<?xml version="1.0" encoding="UTF-8"?>',
'<event_type_controlfile>'
' <event_group event_type = "background">'
' <GMPE fault_type = "normal">'
' <branch model = "Toro" weight = "1.0"/>'
' </GMPE>'
' <scaling scaling_rule = "Wells_and_Coppersmith_94" scaling_fault_type = "unspecified" />'
' </event_group>'
'</event_type_controlfile>'])
handle.write(sample)
handle.close()
generation_min_mag = 7.6
recurrence_min_mag = 4
#recurrence_min_mag = 7.6
actual_generation_min_mag = max(generation_min_mag, recurrence_min_mag)
recurrence_max_mag = 8.0
A_min = 10
b = 1.4
distribution = 'distribution'
dummy = Dummy()
dummy.magnitude_dist = {}
dummy.magnitude_dist['minimum'] = actual_generation_min_mag
dummy.magnitude_dist['maximum'] = recurrence_max_mag
dummy.generation_min_mag = generation_min_mag
dummy.event_type = "background"
dummy.name = 'name'
dummyRm = Dummy()
dummyRm.max_magnitude = recurrence_max_mag
dummyRm.min_magnitude = recurrence_min_mag
dummyRm.A_min = A_min
dummyRm.b = b
dummyRm.recurrence_model_distribution = 'bounded_gutenberg_richter'
dummyRm.raw_weight = 1.0
dummy.recurrence_models = [dummyRm]
fsg_list = [dummy]
magnitude_type = 'Mw'
source_model = create_fault_sources(file_name,
fsg_list,
magnitude_type)
for sm in source_model:
sm.set_event_set_indexes( range(len(event_set)))
event_activity_matrix = calc_event_activity(event_set, source_model)
lamba = A_min * grscale(b, recurrence_max_mag,
generation_min_mag, recurrence_min_mag)
self.assert_(allclose(lamba, sum(event_activity_matrix)))
os.remove(file_name)
def test_calc_event_activity_summing_MR(self):
"""Same as test_calc_event_activity_summing with added multiple
recurrence"""
# Create an event set
Mw = [4.5, 5.5, 6.5, 7.5]
Mw = [7.65, 7.75, 7.85, 7.95 ]
Mw = [4.5, 5.5, 6.5, 7.5]
step = 0.1
Mw = r_[4:8:step]
#print "len(Mw)", len(Mw)
event_set = Dummy_event_set(array(Mw))
# Create a list of Sources - eventually
(handle, file_name) = tempfile.mkstemp('.xml', __name__+'_')
os.close(handle)
handle = open(file_name,'w')
sample = '\n'.join(['<?xml version="1.0" encoding="UTF-8"?>',
'<event_type_controlfile>'
' <event_group event_type = "background">'
' <GMPE fault_type = "normal">'
' <branch model = "Toro" weight = "1.0"/>'
' </GMPE>'
' <scaling scaling_rule = "Wells_and_Coppersmith_94" scaling_fault_type = "unspecified" />'
' </event_group>'
'</event_type_controlfile>'])
handle.write(sample)
handle.close()
generation_min_mag = 4
generation_max_mag = 8
dummy = Dummy()
dummy.magnitude_dist = {}
dummy.magnitude_dist['minimum'] = generation_min_mag
dummy.magnitude_dist['maximum'] = generation_max_mag
dummy.generation_min_mag = generation_min_mag
dummy.event_type = "background"
dummy.name = 'name'
dummyRm = Dummy()
dummyRm.max_magnitude = 8.0
dummyRm.min_magnitude = 3.0
dummyRm.A_min = 10
dummyRm.b = 1.4
dummyRm.recurrence_model_distribution = 'bounded_gutenberg_richter'
dummyRm.raw_weight = 0.4
dummyRm2 = Dummy()
dummyRm2.max_magnitude = 7.0
dummyRm2.min_magnitude = 4.5
dummyRm2.A_min = 15
dummyRm2.b = 1.0
dummyRm2.recurrence_model_distribution = 'bounded_gutenberg_richter'
dummyRm2.raw_weight = 0.6
dummy.recurrence_models = [dummyRm, dummyRm2]
fsg_list = [dummy]
magnitude_type = 'Mw'
source_model = create_fault_sources(file_name,
fsg_list,
magnitude_type)
for sm in source_model:
sm.set_event_set_indexes( range(len(event_set)))
event_activity_matrix = calc_event_activity(event_set, source_model)
dummyRm_sum = dummyRm.A_min * grscale(dummyRm.b,
dummyRm.max_magnitude,
generation_min_mag,
dummyRm.min_magnitude)
dummyRm2_sum = dummyRm2.A_min * grscale(dummyRm2.b,
dummyRm2.max_magnitude,
generation_min_mag,
dummyRm2.min_magnitude)
expected_sum = dummyRm_sum * dummyRm.raw_weight + \
dummyRm2_sum * dummyRm2.raw_weight
self.assert_(allclose(expected_sum, sum(event_activity_matrix)))
os.remove(file_name)
def test_calc_event_activity(self):
# Create an event set
Mw = [4.5, 5.5, 6.5, 7.5]
Mw = [7.65, 7.75, 7.85, 7.95 ]
event_set = Dummy_event_set(array(Mw))
# Create a list of Sources - eventually
(handle, file_name) = tempfile.mkstemp('.xml', __name__+'_')
os.close(handle)
handle = open(file_name,'w')
sample = '\n'.join(['<?xml version="1.0" encoding="UTF-8"?>',
'<event_type_controlfile>'
' <event_group event_type = "background">'
' <GMPE fault_type = "normal">'
' <branch model = "Toro" weight = "1.0"/>'
' </GMPE>'
' <scaling scaling_rule = "Wells_and_Coppersmith_94" scaling_fault_type = "unspecified" />'
' </event_group>'
'</event_type_controlfile>'])
handle.write(sample)
handle.close()
generation_min_mag = 7.6
generation_min_mag = 4
recurrence_min_mag = 4
#recurrence_min_mag = 7.6
actual_generation_min_mag = max(generation_min_mag, recurrence_min_mag)
recurrence_max_mag = 8.0
A_min = 10
b = 1.4
distribution = 'distribution'
dummy = Dummy()
dummy.magnitude_dist = {}
dummy.magnitude_dist['minimum'] = actual_generation_min_mag
dummy.magnitude_dist['maximum'] = recurrence_max_mag
dummy.generation_min_mag = generation_min_mag
dummyRm = Dummy()
dummyRm.max_magnitude = recurrence_max_mag
dummyRm.min_magnitude = recurrence_min_mag
dummyRm.A_min = A_min
dummyRm.b = b
dummyRm.recurrence_model_distribution = 'bounded_gutenberg_richter'
dummyRm.raw_weight = 1.0
dummy.recurrence_models = [dummyRm]
dummy.event_type = "background"
dummy.name = 'name'
fsg_list = [dummy]
magnitude_type = 'Mw'
source_model = create_fault_sources(file_name,
fsg_list,
magnitude_type)
for sm in source_model:
sm.set_event_set_indexes( range(len(event_set)))
event_activity_matrix = calc_event_activity(event_set, source_model)
lamba = A_min * grscale(b, recurrence_max_mag,
generation_min_mag, recurrence_min_mag)
self.assert_(allclose(lamba, sum(event_activity_matrix)))
# Check multiple recurrence models get weighted correctly
w1 = 0.2
w2 = 0.8
boundary = [(0, 0.0), (100., 0.0), (100., 100.0), (0., 100.0) ]
sm = Source_Model((Source_Zone(boundary, (),
[RecurrenceModel(recurrence_min_mag, recurrence_max_mag,
A_min, b, None, w) for w in (w1, w2)],
generation_min_mag,
"background",
'dummy_polygon_name'),),
magnitude_type)
sm[0].set_event_set_indexes(range(len(event_set)))
event_activity_matrix = calc_event_activity(event_set, sm)
self.assert_(allclose(
event_activity_matrix[0]/event_activity_matrix[1],
w1/w2))
os.remove(file_name)
