GrondError
logger.warn( 'Decimation factor for rectangular source set to %i. Results ' 'may be inaccurate.' % self.decimation_factor)
event, anchor='top', decimation_factor=self.decimation_factor)
event_name=event.name, event_time=util.time_to_str(event.time))
name=expand_template(self.name_template, subs), base_source=base_source, distance_min=self.distance_min, target_groups=target_groups, targets=targets, ranges=self.ranges, norm_exponent=self.norm_exponent, nthreads=self.nthreads)
# nucleation_x # nucleation_y # time # stf
Parameter('east_shift', 'm', label='Easting', **as_km), Parameter('north_shift', 'm', label='Northing', **as_km), Parameter('depth', 'm', label='Depth', **as_km), Parameter('length', 'm', label='Length', **as_km), Parameter('width', 'm', label='Width', **as_km), Parameter('slip', 'm', label='Slip'), Parameter('strike', 'deg', label='Strike'), Parameter('dip', 'deg', label='Dip'), Parameter('rake', 'deg', label='Rake') ]
Parameter('nucleation_x', 'offset', label='Nucleation X'), Parameter('nucleation_y', 'offset', label='Nucleation Y'), Parameter('time', 's', label='Time'), ]
arr[ip] -= self.base_source.time
self.ranges[k].make_relative(self.base_source[k], d[k]))
raise GrondError( 'Setting fixed magnitude in random model generation not ' 'supported for this type of problem.')
# source = self.get_source(x) # if any(self.distance_min > source.distance_to(t) # for t in self.targets): # raise Forbidden()
def get_plot_classes(cls):
RectangularProblem RectangularProblemConfig '''.split() |