simplify API

autogalaxy/analysis/analysis/dataset.py

@@ -180,12 +180,12 @@ def save_attributes(self, paths: af.DirectoryPaths):
         )
         paths.save_fits(
             name="over_sampling_size_lp",
-            hdu=self.dataset.grids.lp.over_sampling_size.native.hdu_for_output,
+            hdu=self.dataset.grids.lp.over_sample_size.native.hdu_for_output,
             prefix="dataset",
         )
         paths.save_fits(
             name="over_sampling_size_pixelization",
-            hdu=self.dataset.grids.pixelization.over_sampling_size.native.hdu_for_output,
+            hdu=self.dataset.grids.pixelization.over_sample_size.native.hdu_for_output,
             prefix="dataset",
         )
         paths.save_json(

autogalaxy/galaxy/galaxy.py

@@ -327,7 +327,7 @@ def traced_grid_2d_from(self, grid: aa.type.Grid2DLike) -> aa.type.Grid2DLike:
             return aa.Grid2D(
                 values=grid - self.deflections_yx_2d_from(grid=grid),
                 mask=grid.mask,
-                over_sampling_size=grid.over_sampling_size,
+                over_sample_size=grid.over_sample_size,
                 over_sampled=grid.over_sampled - self.deflections_yx_2d_from(
                     grid=grid.over_sampled
                 )

test_autogalaxy/aggregator/imaging/test_aggregator_imaging.py

@@ -34,8 +34,8 @@ def test__dataset_generator_from_aggregator__analysis_has_single_dataset(
 
     for dataset_list in dataset_gen:
         assert (dataset_list[0].data == masked_imaging_7x7.data).all()
-        assert dataset_list[0].grids.lp.over_sampling_size[0] == 5
-        assert dataset_list[0].grids.pixelization.over_sampling_size[0] == 3
+        assert dataset_list[0].grids.lp.over_sample_size[0] == 5
+        assert dataset_list[0].grids.pixelization.over_sample_size[0] == 3
 
     clean(database_file=database_file)
 

test_autogalaxy/galaxy/test_galaxy.py

@@ -639,13 +639,13 @@ def test__decorator__oversample_uniform__numerical_values(gal_x1_lp):
 
     galaxy = ag.Galaxy(redshift=0.5, light=ag.lp.Sersic(intensity=1.0))
 
-    grid = ag.Grid2D.from_mask(mask=mask, over_sampling_size=1)
+    grid = ag.Grid2D.from_mask(mask=mask, over_sample_size=1)
 
     image = galaxy.image_2d_from(grid=grid)
 
     assert image[0] == pytest.approx(0.15987224303572964, 1.0e-6)
 
-    grid = ag.Grid2D.from_mask(mask=mask, over_sampling_size=2)
+    grid = ag.Grid2D.from_mask(mask=mask, over_sample_size=2)
 
     image = galaxy.image_2d_from(grid=grid)
 
@@ -656,13 +656,13 @@ def test__decorator__oversample_uniform__numerical_values(gal_x1_lp):
         redshift=0.5, light=ag.lp.Sersic(centre=(3.0, 3.0), intensity=1.0)
     )
 
-    grid = ag.Grid2D.from_mask(mask=mask, over_sampling_size=1)
+    grid = ag.Grid2D.from_mask(mask=mask, over_sample_size=1)
 
     image = galaxy.image_2d_from(grid=grid)
 
     assert image[0] == pytest.approx(0.006719704400094508, 1.0e-6)
 
-    grid = ag.Grid2D.from_mask(mask=mask, over_sampling_size=2)
+    grid = ag.Grid2D.from_mask(mask=mask, over_sample_size=2)
 
     image = galaxy.image_2d_from(grid=grid)
 

test_autogalaxy/imaging/test_simulate_and_fit_imaging.py

@@ -12,7 +12,7 @@ def test__perfect_fit__chi_squared_0():
     grid = ag.Grid2D.uniform(
         shape_native=(11, 11),
         pixel_scales=0.2,
-        over_sampling_size=1,
+        over_sample_size=1,
     )
 
     psf = ag.Kernel2D.from_gaussian(
@@ -141,7 +141,7 @@ def test__simulate_imaging_data_and_fit__linear_light_profiles_agree_with_standa
     grid = ag.Grid2D.uniform(
         shape_native=(11, 11),
         pixel_scales=0.2,
-        over_sampling_size=1,
+        over_sample_size=1,
     )
 
     psf = ag.Kernel2D.from_gaussian(

test_autogalaxy/interferometer/test_simulate_and_fit_interferometer.py

@@ -12,7 +12,7 @@ def test__perfect_fit__chi_squared_0():
     grid = ag.Grid2D.uniform(
         shape_native=(51, 51),
         pixel_scales=0.1,
-        over_sampling_size=1,
+        over_sample_size=1,
     )
 
     galaxy_0 = ag.Galaxy(
@@ -143,7 +143,7 @@ def test__linear_light_profiles_agree_with_standard_light_profiles():
     grid = ag.Grid2D.uniform(
         shape_native=(51, 51),
         pixel_scales=0.1,
-        over_sampling_size=1,
+        over_sample_size=1,
     )
 
     galaxy = ag.Galaxy(

test_autogalaxy/operate/test_image.py

@@ -103,7 +103,7 @@ def test__unmasked_blurred_image_2d_from():
         pixel_scales=1.0,
     )
 
-    grid = ag.Grid2D.from_mask(mask=mask, over_sampling_size=1)
+    grid = ag.Grid2D.from_mask(mask=mask, over_sample_size=1)
 
     lp = ag.lp.Sersic(intensity=0.1)
 

test_autogalaxy/profiles/light/standard/test_abstract.py

@@ -47,7 +47,7 @@ def test__image_1d_from__grid_2d_in__returns_1d_image_via_projected_quantities()
     grid_2d = ag.Grid2D.uniform(
         shape_native=(5, 5),
         pixel_scales=1.0,
-        over_sampling_size=1,
+        over_sample_size=1,
     )
 
     lp = ag.lp.Gaussian(
@@ -91,13 +91,13 @@ def test__decorator__oversample_uniform__numerical_values(gal_x1_lp):
 
     lp = ag.lp.Sersic(intensity=1.0)
 
-    grid = ag.Grid2D.from_mask(mask=mask, over_sampling_size=1)
+    grid = ag.Grid2D.from_mask(mask=mask, over_sample_size=1)
 
     image = lp.image_2d_from(grid=grid)
 
     assert image[0] == pytest.approx(0.15987224303572964, 1.0e-6)
 
-    grid = ag.Grid2D.from_mask(mask=mask, over_sampling_size=2)
+    grid = ag.Grid2D.from_mask(mask=mask, over_sample_size=2)
 
     image = lp.image_2d_from(grid=grid)
 
@@ -106,13 +106,13 @@ def test__decorator__oversample_uniform__numerical_values(gal_x1_lp):
 
     lp = ag.lp.Sersic(centre=(3.0, 3.0), intensity=1.0)
 
-    grid = ag.Grid2D.from_mask(mask=mask, over_sampling_size=1)
+    grid = ag.Grid2D.from_mask(mask=mask, over_sample_size=1)
 
     image = lp.image_2d_from(grid=grid)
 
     assert image[0] == pytest.approx(0.006719704400094508, 1.0e-6)
 
-    grid = ag.Grid2D.from_mask(mask=mask, over_sampling_size=2)
+    grid = ag.Grid2D.from_mask(mask=mask, over_sample_size=2)
 
     image = lp.image_2d_from(grid=grid)
 

test_autogalaxy/profiles/mass/abstract/test_abstract.py

@@ -206,7 +206,7 @@ def test__decorators__convergence_1d_from__grid_2d_in__returns_1d_image_via_proj
     grid_2d = ag.Grid2D.uniform(
         shape_native=(5, 5),
         pixel_scales=1.0,
-        over_sampling_size=1,
+        over_sample_size=1,
     )
 
     sie = ag.mp.Isothermal(centre=(0.0, 0.0), ell_comps=(0.0, 0.0), einstein_radius=1.0)