def test_area_with_tgr_mfd(self):
area_mfd = nrml_models.TGRMFD(a_val=-3.5, b_val=1.0,
min_mag=5.0, max_mag=6.5)
self.area_source_attrib['mfd'] = area_mfd
area_source = nrml_models.AreaSource(**self.area_source_attrib)
# Re-scaled MFD for the points
point_mfd = nrml_models.TGRMFD(a_val=-4.1020599913279625, b_val=1.0,
min_mag=5.0, max_mag=6.5)
for exp in self.expected:
exp.mfd = point_mfd
actual = list(source_input.area_source_to_point_sources(area_source,
100))
equal, err = helpers.deep_eq(self.expected, actual)
self.assertTrue(equal, err)
def test_area_with_incr_mfd(self):
area_mfd = nrml_models.IncrementalMFD(min_mag=6.55,
bin_width=0.1,
occur_rates=[0.1, 0.2, 0.3, 0.4])
self.area_source_attrib['mfd'] = area_mfd
area_source = nrml_models.AreaSource(**self.area_source_attrib)
# Re-scaled MFD for the points
point_mfd = nrml_models.IncrementalMFD(
min_mag=6.55, bin_width=0.1, occur_rates=[0.025, 0.05, 0.075, 0.1])
for exp in self.expected:
exp.mfd = point_mfd
actual = list(
source_input.area_source_to_point_sources(area_source, 100))
equal, err = helpers.deep_eq(self.expected, actual)
self.assertTrue(equal, err)
def test_area_with_incr_mfd(self):
area_mfd = nrml_models.IncrementalMFD(
min_mag=6.55, bin_width=0.1, occur_rates=[0.1, 0.2, 0.3, 0.4]
)
self.area_source_attrib['mfd'] = area_mfd
area_source = nrml_models.AreaSource(**self.area_source_attrib)
# Re-scaled MFD for the points
point_mfd = nrml_models.IncrementalMFD(
min_mag=6.55, bin_width=0.1, occur_rates=[0.025, 0.05, 0.075, 0.1]
)
for exp in self.expected:
exp.mfd = point_mfd
actual = list(source_input.area_source_to_point_sources(area_source,
100))
equal, err = helpers.deep_eq(self.expected, actual)
self.assertTrue(equal, err)
def test_area_with_tgr_mfd(self):
area_mfd = nrml_models.TGRMFD(a_val=-3.5,
b_val=1.0,
min_mag=5.0,
max_mag=6.5)
self.area_source_attrib['mfd'] = area_mfd
area_source = nrml_models.AreaSource(**self.area_source_attrib)
# Re-scaled MFD for the points
point_mfd = nrml_models.TGRMFD(a_val=-4.1020599913279625,
b_val=1.0,
min_mag=5.0,
max_mag=6.5)
for exp in self.expected:
exp.mfd = point_mfd
actual = list(
source_input.area_source_to_point_sources(area_source, 100))
equal, err = helpers.deep_eq(self.expected, actual)
self.assertTrue(equal, err)
