fix(csv): preserve TuplePrior on af.Model built from tuple-param rows

autogalaxy/galaxy/galaxy_model_csv.py

@@ -334,7 +334,16 @@ def galaxy_af_models_from_csv_tables(*tables: GalaxyModelTable) -> Dict[str, Any
     galaxy_models: Dict[str, Any] = {}
     for galaxy_name, rows in by_galaxy.items():
         redshift = _resolve_redshift(galaxy_name, rows)
-        attrs = {row.attr_name: af.Model(row.profile_class, **row.params) for row in rows}
+        attrs: Dict[str, Any] = {}
+        for row in rows:
+            model = af.Model(row.profile_class)
+            for name, value in row.params.items():
+                if isinstance(value, tuple):
+                    for i, component in enumerate(value):
+                        setattr(model, f"{name}_{i}", component)
+                else:
+                    setattr(model, name, value)
+            attrs[row.attr_name] = model
         galaxy_models[galaxy_name] = af.Model(Galaxy, redshift=redshift, **attrs)
 
     return galaxy_models

test_autogalaxy/galaxy/test_galaxy_model_csv.py

@@ -209,6 +209,30 @@ def test__af_models_round_trip(tmp_path):
     assert galaxy_model.mass.b0 == 3.0
 
 
+def test__af_models__tuple_param_supports_prior_override(tmp_path):
+    point_csv = tmp_path / "point.csv"
+
+    ag.galaxy_models_to_csv(
+        profiles_by_galaxy={"source_0": {"point_0": ag.ps.Point(centre=(0.3, 0.5))}},
+        file_path=point_csv,
+        family="point",
+        redshifts={"source_0": 1.0},
+    )
+
+    galaxy_models = ag.galaxy_af_models_from_csv_tables(
+        ag.galaxy_models_from_csv(point_csv, family="point"),
+    )
+
+    point_attr = galaxy_models["source_0"].point_0
+    point_attr.centre_0 = af.GaussianPrior(mean=0.3, sigma=3.0)
+    point_attr.centre_1 = af.GaussianPrior(mean=0.5, sigma=3.0)
+
+    instance = galaxy_models["source_0"].instance_from_unit_vector([0.5, 0.5])
+    assert isinstance(instance.point_0, ag.ps.Point)
+    assert isinstance(instance.point_0.centre, tuple)
+    assert len(instance.point_0.centre) == 2
+
+
 def test__redshift_consistency_check__raises(tmp_path):
     mass_csv = tmp_path / "mass.csv"
     light_csv = tmp_path / "light.csv"