remove tests which use now unusued project code

Author: Jammy2211

autoarray/structures/decorators/__init__.py

@@ -1,5 +1,3 @@
-from .project_grid import project_grid
-from .to_projected import to_projected
 from .to_array import to_array
 from .to_grid import to_grid
 from .to_vector_yx import to_vector_yx

autoarray/structures/decorators/project_grid.py

@@ -86,11 +86,6 @@ def __init__(self, centre=(0.0, 0.0), angle=0.0):
         self.centre = centre
         self.angle = angle
 
-    @decorators.project_grid
-    def ndarray_1d_from(self, grid, *args, **kwargs):
-        return np.ones(shape=grid.shape[0])
-
-
 class MockGrid2DLikeObj:
     def __init__(self):
         self.centre = (0.0, 0.0)

autoarray/structures/decorators/to_projected.py

@@ -3,37 +3,6 @@
 import autoarray as aa
 
 
-def test__in_grid_1d__out_ndarray_1d():
-    grid_1d = aa.Grid1D.no_mask(values=[1.0, 2.0, 3.0], pixel_scales=1.0)
-
-    obj = aa.m.MockGrid1DLikeObj()
-
-    ndarray_1d = obj.ndarray_1d_from(grid=grid_1d)
-
-    assert isinstance(ndarray_1d, aa.Array1D)
-    assert (ndarray_1d.native == np.array([1.0, 1.0, 1.0])).all()
-    assert ndarray_1d.pixel_scales == (1.0,)
-
-    obj = aa.m.MockGrid1DLikeObj(centre=(1.0, 0.0), angle=45.0)
-
-    ndarray_1d = obj.ndarray_1d_from(grid=grid_1d)
-
-    assert isinstance(ndarray_1d, aa.Array1D)
-    assert (ndarray_1d.native == np.array([1.0, 1.0, 1.0])).all()
-    assert ndarray_1d.pixel_scales == (1.0,)
-
-    mask_1d = aa.Mask1D(mask=[True, False, False, True], pixel_scales=(1.0,))
-
-    grid_1d = aa.Grid1D.from_mask(mask=mask_1d)
-
-    obj = aa.m.MockGrid2DLikeObj()
-
-    ndarray_1d = obj.ndarray_1d_from(grid=grid_1d)
-
-    assert isinstance(ndarray_1d, aa.Array1D)
-    assert (ndarray_1d.native == np.array([0.0, 1.0, 1.0, 0.0])).all()
-
-
 def test__in_grid_1d__out_ndarray_1d_list():
     mask = aa.Mask1D(mask=[True, False, False, True], pixel_scales=(1.0,))
 
@@ -50,55 +19,6 @@ def test__in_grid_1d__out_ndarray_1d_list():
     assert (ndarray_1d_list[1].native == np.array([[0.0, 2.0, 2.0, 0.0]])).all()
 
 
-def test__in_grid_2d__out_ndarray_1d():
-    grid_2d = aa.Grid2D.uniform(shape_native=(4, 4), pixel_scales=1.0)
-
-    obj = aa.m.MockGrid1DLikeObj()
-
-    ndarray_1d = obj.ndarray_1d_from(grid=grid_2d)
-
-    assert isinstance(ndarray_1d, aa.Array1D)
-    assert (ndarray_1d.native == np.array([1.0])).all()
-    assert ndarray_1d.pixel_scales == (1.0,)
-
-    obj = aa.m.MockGrid1DLikeObj(centre=(1.0, 0.0))
-
-    ndarray_1d = obj.ndarray_1d_from(grid=grid_2d)
-
-    assert isinstance(ndarray_1d, aa.Array1D)
-    assert (ndarray_1d.native == np.array([1.0, 1.0, 1.0, 1.0])).all()
-    assert ndarray_1d.pixel_scales == (1.0,)
-
-    mask = aa.Mask2D(
-        mask=[
-            [True, True, True, True],
-            [True, False, False, True],
-            [True, False, False, True],
-            [True, True, True, True],
-        ],
-        pixel_scales=(1.0, 1.0),
-    )
-
-    grid_2d = aa.Grid2D.from_mask(mask=mask)
-
-    obj = aa.m.MockGrid2DLikeObj()
-
-    ndarray_1d = obj.ndarray_1d_from(grid=grid_2d)
-
-    assert isinstance(ndarray_1d, aa.Array2D)
-    assert (
-        ndarray_1d.native
-        == np.array(
-            [
-                [0.0, 0.0, 0.0, 0.0],
-                [0.0, 1.0, 1.0, 0.0],
-                [0.0, 1.0, 1.0, 0.0],
-                [0.0, 0.0, 0.0, 0.0],
-            ]
-        )
-    ).all()
-
-
 def test__in_grid_2d__out_ndarray_1d_list():
     mask = aa.Mask2D(
         mask=[