def _derive_imls_from_vulnerability(self, upload):
"""
Generates a new scale of IML values from the a job's vulnerability
model (if one exists). The new IML values will be written to the
INTENSITY_MEASURE_LEVELS config param in the [HAZARD] section of the
config file.
This will override the IML values specified for this job in the
uiapi.oq_params.imls DB field.
:param upload: :py:class:`geonode.mtapi.models.Upload` instance
associated with this job
"""
vuln_input = upload.input_set.get(input_type='vulnerability')
lower_bound, upper_bound = \
_get_iml_bounds_from_vuln_file(vuln_input.path)
iml_scale = view_utils.log_scale(
lower_bound, upper_bound, self.num_of_derived_imls)
# format the new IML scale properly for the config file
imls_str = _float_list_to_str(iml_scale, ', ')
self.cfg_parser.set('HAZARD', 'INTENSITY_MEASURE_LEVELS', imls_str)
def _derive_imls_from_vulnerability(self, upload):
"""
Generates a new scale of IML values from the a job's vulnerability
model (if one exists). The new IML values will be written to the
INTENSITY_MEASURE_LEVELS config param in the [HAZARD] section of the
config file.
This will override the IML values specified for this job in the
uiapi.oq_params.imls DB field.
:param upload: :py:class:`geonode.mtapi.models.Upload` instance
associated with this job
"""
vuln_input = upload.input_set.get(input_type='vulnerability')
lower_bound, upper_bound = \
_get_iml_bounds_from_vuln_file(vuln_input.path)
iml_scale = view_utils.log_scale(lower_bound, upper_bound,
self.num_of_derived_imls)
# format the new IML scale properly for the config file
imls_str = _float_list_to_str(iml_scale, ', ')
self.cfg_parser.set('HAZARD', 'INTENSITY_MEASURE_LEVELS', imls_str)
def test_log_scale(self):
lb = 0.060256
ub = 9.780226
n = 10
expected_scale = [
0.060255999999999997, 0.1060705, 0.1867192, 0.32868750000000002,
0.57859870000000002, 1.0185251, 1.7929411, 3.1561694999999999,
5.5559022999999996, 9.7802260000000008]
scale = log_scale(lb, ub, n)
# the first and last values in the scale should be equal to
# the lower_bound and upper_bound, respectively
self.assertEqual(lb, scale[0])
self.assertEqual(ub, scale[-1])
self.assertEqual(expected_scale, scale)
def test_log_scale(self):
lb = 0.060256
ub = 9.780226
n = 10
expected_scale = [
0.060255999999999997, 0.1060705, 0.1867192, 0.32868750000000002,
0.57859870000000002, 1.0185251, 1.7929411, 3.1561694999999999,
5.5559022999999996, 9.7802260000000008
]
scale = log_scale(lb, ub, n)
# the first and last values in the scale should be equal to
# the lower_bound and upper_bound, respectively
self.assertEqual(lb, scale[0])
self.assertEqual(ub, scale[-1])
self.assertEqual(expected_scale, scale)
