remove all reference to instance copy

Jammy2211 · Aug 17, 2023 · f788fef · f788fef
1 parent 64e928c
commit f788fef
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Showing 5 changed files with 7 additions and 25 deletions.
diff --git a/autogalaxy/analysis/analysis.py b/autogalaxy/analysis/analysis.py
@@ -289,6 +289,8 @@ def set_adapt_dataset(self, result: ResultDataset) -> None:
             to the properties of the dataset.
         """
 
+        logger.info("Setting Adapt Dataset (adapt_model_image / adapt_galaxy_image_path_dict)")
+
         adapt_galaxy_image_path_dict = result.adapt_galaxy_image_path_dict
         adapt_model_image = result.adapt_model_image
 

diff --git a/autogalaxy/analysis/result.py b/autogalaxy/analysis/result.py
@@ -49,34 +49,14 @@ def __init__(self, samples: af.SamplesPDF, analysis):
 
         self.analysis = analysis
 
-        self.__instance = None
-
-    @property
-    def instance_copy(self) -> af.Instance:
-        """
-        This is neccessary because the attributes of the `instance` are altered in the fit function, when linear
-        light profiles are converted to standard light profile.
-
-        This impacts autofit prior passing.
-
-        Returns
-        -------
-        A deep copy of the instance of the max log likelihood result.
-        """
-
-        if self.__instance is None:
-            self.__instance = copy.deepcopy(self.instance)
-
-        return self.__instance
-
     @property
     def max_log_likelihood_plane(self) -> Plane:
         """
         An instance of a `Plane` corresponding to the maximum log likelihood model inferred by the non-linear search.
         """
 
         instance = self.analysis.instance_with_associated_adapt_images_from(
-            instance=self.instance_copy
+            instance=self.instance
         )
 
         return self.analysis.plane_via_instance_from(instance=instance)
@@ -86,7 +66,7 @@ def path_galaxy_tuples(self) -> List[Tuple[str, Galaxy]]:
         """
         Tuples associating the names of galaxies with instances from the best fit
         """
-        return self.instance_copy.path_instance_tuples_for_class(cls=Galaxy)
+        return self.instance.path_instance_tuples_for_class(cls=Galaxy)
 
 
 class ResultDataset(Result):

diff --git a/autogalaxy/imaging/model/result.py b/autogalaxy/imaging/model/result.py
@@ -47,7 +47,7 @@ def max_log_likelihood_fit(self) -> FitImaging:
         search.
         """
         instance = self.analysis.instance_with_associated_adapt_images_from(
-            instance=self.instance_copy
+            instance=self.instance
         )
 
         plane = self.analysis.plane_via_instance_from(instance=instance)

diff --git a/autogalaxy/interferometer/model/result.py b/autogalaxy/interferometer/model/result.py
@@ -48,7 +48,7 @@ def max_log_likelihood_fit(self) -> FitInterferometer:
         non-linear search.
         """
         instance = self.analysis.instance_with_associated_adapt_images_from(
-            instance=self.instance_copy
+            instance=self.instance
         )
 
         plane = self.analysis.plane_via_instance_from(instance=instance)

diff --git a/autogalaxy/quantity/model/result.py b/autogalaxy/quantity/model/result.py
@@ -42,4 +42,4 @@ def max_log_likelihood_fit(self) -> FitQuantity:
         search.
         """
 
-        return self.analysis.fit_quantity_for_instance(instance=self.instance_copy)
+        return self.analysis.fit_quantity_for_instance(instance=self.instance)