def save_attributes(self, paths: af.DirectoryPaths):
"""
Before the model-fit via the non-linear search begins, this routine saves attributes of the `Analysis` object
to the `pickles` folder such that they can be loaded after the analysis using PyAutoFit's database and aggregator
tools.
For this analysis the following are output:
- The dataset's data.
- The dataset's noise-map.
- The settings associated with the dataset.
- The settings associated with the inversion.
- The settings associated with the pixelization.
- The Cosmology.
- The adapt dataset's model image and galaxy images, if used.
It is common for these attributes to be loaded by many of the template aggregator functions given in the
`aggregator` modules. For example, when using the database tools to reperform a fit, this will by default
load the dataset, settings and other attributes necessary to perform a fit using the attributes output by
this function.
Parameters
----------
paths
The PyAutoFit paths object which manages all paths, e.g. where the non-linear search outputs are stored, visualization,
and the pickled objects used by the aggregator output by this function.
"""
dataset_path = paths._files_path / "dataset"
self.dataset.output_to_fits(
data_path=dataset_path / "data.fits",
noise_map_path=dataset_path / "noise_map.fits",
overwrite=True,
)
self.dataset.settings.output_to_json(file_path=dataset_path / "settings.json")
self.settings_inversion.output_to_json(
file_path=paths._files_path / "settings_inversion.json"
)
self.settings_pixelization.output_to_json(
file_path=paths._files_path / "settings_pixelization.json"
)
paths.save_object("cosmology", self.cosmology)
with open(paths._files_path / "cosmology.pickle", "wb") as f:
pickle.dump(self.cosmology, f)
adapt_path = paths._files_path / "adapt"
if self.adapt_model_image is not None:
self.adapt_model_image.output_to_fits(
file_path=adapt_path / "adapt_model_image.fits", overwrite=True
)
if self.adapt_galaxy_image_path_dict is not None:
for key, value in self.adapt_galaxy_image_path_dict.items():
value.output_to_fits(
file_path=adapt_path / f"{key}.fits",
overwrite=True,
)
Note these are on the feature/autofit_outputs/ branch.
The following classes are also pickled in the
Analysis:https://github.com/Jammy2211/PyAutoGalaxy/tree/feature/autofit_outputs/autogalaxy/cosmology
The pickling is here:
https://github.com/Jammy2211/PyAutoGalaxy/blob/feature/autofit_outputs/autogalaxy/analysis/analysis.py
Note these are on the
feature/autofit_outputs/ branch.