def run(self,
dataset: Dataset,
results: af.ResultsCollection = None,
**kwargs) -> af.Result:
"""
Run the hyper phase and then the hyper_galaxies phase.
Parameters
----------
dataset
Data
results
Results from previous phases.
kwargs
Returns
-------
result
The result of the phase, with a hyper_galaxies result attached as an attribute with the hyper_name of this
phase.
"""
self.save_dataset(dataset=dataset)
results = (copy.deepcopy(results)
if results is not None else af.ResultsCollection())
result = self.phase.run(dataset, results=results, **kwargs)
results.add(self.phase.paths.phase_name, result)
hyper_result = self.run_hyper(dataset=dataset,
results=results,
**kwargs)
setattr(result, self.hyper_name, hyper_result)
return result
def run(self,
dataset,
mask,
results: af.ResultsCollection = None,
positions=None,
info=None,
**kwargs) -> af.Result:
"""
Run the phase followed by the hyper_galaxies phases. Each result of a hyper_galaxies phase is attached to the
overall result object by the hyper_name of that phase.
Finally, a phase in run with all of the model results from all the individual hyper_galaxies phases.
Parameters
----------
positions
mask
data
the dataset
results
Results from previous phases
kwargs
Returns
-------
result
The result of the phase, with hyper_galaxies results attached by associated hyper_galaxies names
"""
results = results.copy(
) if results is not None else af.ResultsCollection()
result = self.phase.run(dataset=dataset,
mask=mask,
results=results,
positions=positions,
info=info,
**kwargs)
results.add(self.phase.paths.phase_name, result)
for phase in self.hyper_phases:
hyper_result = phase.run_hyper(dataset=dataset,
results=results,
info=info,
**kwargs)
setattr(result, phase.hyper_name, hyper_result)
setattr(result, self.hyper_name,
self.run_hyper(dataset=dataset, results=results))
return result