fix save attributes so they use right settings inversion

Author: Jammy2211

autolens/imaging/model/analysis.py

@@ -112,45 +112,3 @@ def fit_from(
             xp=self._xp
         )
 
-    def save_attributes(self, paths: af.DirectoryPaths):
-        """
-        Before the non-linear search begins, this routine saves attributes of the `Analysis` object to the `files`
-        folder such that they can be loaded after the analysis using PyAutoFit's database and aggregator tools.
-
-
-         For this analysis, it uses the `AnalysisDataset` object's method to output the following:
-
-         - The settings associated with the inversion.
-         - The settings associated with the pixelization.
-         - The Cosmology.
-         - The adapt image's model image and galaxy images, as `adapt_images.fits`, if used.
-
-        This function also outputs attributes specific to lens modeling:
-
-        - The positions of the brightest pixels in the lensed source which are used to discard mass models.
-
-        The following .fits files are also output via the plotter interface:
-
-        - The mask applied to the dataset, in the `PrimaryHDU` of `dataset.fits`.
-        - The imaging dataset as `dataset.fits` (data / noise-map / psf / over sampler / etc.).
-
-        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 perform a fit, the default behaviour is for
-        the dataset, settings and other attributes necessary to perform the fit to be loaded via the pickle files
-        output by this function.
-
-        Parameters
-        ----------
-        paths
-            The 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.
-        """
-        super().save_attributes(paths=paths)
-
-        analysis = ag.AnalysisImaging(
-            dataset=self.dataset,
-        )
-
-        analysis.save_attributes(paths=paths)
-
-

autolens/interferometer/model/analysis.py

@@ -2,6 +2,8 @@
 import numpy as np
 from typing import Optional
 
+from autoconf.dictable import to_dict
+
 import autofit as af
 import autoarray as aa
 import autogalaxy as ag
@@ -208,8 +210,7 @@ def save_attributes(self, paths: af.DirectoryPaths):
         """
         super().save_attributes(paths=paths)
 
-        analysis = ag.AnalysisInterferometer(
-            dataset=self.dataset,
+        paths.save_json(
+            "transformer_class",
+            to_dict(self.dataset.transformer.__class__),
         )
-
-        analysis.save_attributes(paths=paths)