def test__sub_to_pix__3x3_grid__change_scaledond_dimensions_size__grid_adapts_accordingly(
self, ):
# _ _ _
# I_I_I_I Boundaries for pixels x = 0 and y = 0 -1.5 to -0.5
# I_I_I_I Boundaries for pixels x = 1 and y = 1 -0.5 to 0.5
# I_I_I_I Boundaries for pixels x = 2 and y = 2 0.5 to 1.5
grid = aa.Grid2D.manual_slim(
[[1.5, -1.5], [1.0, 0.0], [1.0, 0.6], [-1.4, 0.0], [-1.5, 1.5]],
pixel_scales=1.0,
shape_native=(5, 1),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 2, 7, 8])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[2],
[],
[],
[],
[],
[3],
[4],
]
def test__sub_to_pix_of_mapper_matches_nearest_neighbor_calculation(
self, grid_2d_7x7):
pixelization_grid = aa.Grid2D.manual_slim(
[[0.1, 0.1], [1.1, 0.1], [2.1, 0.1], [0.1, 1.1], [1.1, 1.1],
[2.1, 1.1]],
shape_native=(3, 2),
pixel_scales=1.0,
)
sub_to_pix_nearest_neighbour = grid_to_pixel_pixels_via_nearest_neighbour(
grid_2d_7x7, pixelization_grid)
nearest_pixelization_index_for_slim_index = np.array(
[0, 0, 1, 0, 0, 1, 2, 2, 3])
pixelization_grid = aa.Grid2DVoronoi(
grid=pixelization_grid,
nearest_pixelization_index_for_slim_index=
nearest_pixelization_index_for_slim_index,
)
mapper = aa.Mapper(source_grid_slim=grid_2d_7x7,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index ==
sub_to_pix_nearest_neighbour).all()
def test__pixel_signals__compare_to_mapper_util(self, grid_2d_7x7,
image_7x7):
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
3),
grid=grid_2d_7x7)
mapper = aa.Mapper(
source_grid_slim=grid_2d_7x7,
source_pixelization_grid=pixelization_grid,
hyper_data=image_7x7,
)
pixel_signals = mapper.pixel_signals_from_signal_scale(
signal_scale=2.0)
pixel_signals_util = aa.util.mapper.adaptive_pixel_signals_from(
pixels=9,
signal_scale=2.0,
pixelization_index_for_sub_slim_index=mapper.
pixelization_index_for_sub_slim_index,
slim_index_for_sub_slim_index=grid_2d_7x7.mask.
_slim_index_for_sub_slim_index,
hyper_image=image_7x7,
)
assert (pixel_signals == pixel_signals_util).all()
def test__reconstructed_pixelization__3x3_pixelization__solution_vector_ascending(
self, ):
grid = aa.Grid2D.manual_slim(
[
[2.0, -1.0],
[2.0, 0.0],
[2.0, 1.0],
[0.0, -1.0],
[0.0, 0.0],
[0.0, 1.0],
[-2.0, -1.0],
[-2.0, 0.0],
[-2.0, 1.0],
],
pixel_scales=1.0,
shape_native=(3, 3),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
recon_pix = mapper.reconstruction_from(solution_vector=np.array(
[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]))
assert (recon_pix.native == np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0],
[7.0, 8.0, 9.0]])).all()
assert recon_pix.pixel_scales == pytest.approx((4.0 / 3.0, 2.0 / 3.0),
1e-2)
assert recon_pix.origin == (0.0, 0.0)
def test__reconstructed_pixelization__compare_to_imaging_util(self):
grid = aa.Grid2D.manual_slim(
[[1.0, 1.0], [1.0, 1.0], [1.0, 1.0], [1.0, 1.0]],
pixel_scales=1.0,
shape_native=(2, 2),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(4,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
solution = np.array(
[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 1.0, 2.0, 3.0])
recon_pix = mapper.reconstruction_from(solution_vector=solution)
recon_pix_util = aa.util.array_2d.array_2d_native_from(
array_2d_slim=solution,
mask_2d=np.full(fill_value=False, shape=(4, 3)),
sub_size=1,
)
assert (recon_pix.native == recon_pix_util).all()
assert recon_pix.shape_native == (4, 3)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
4),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
solution = np.array(
[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 1.0, 2.0, 3.0])
recon_pix = mapper.reconstruction_from(solution_vector=solution)
recon_pix_util = aa.util.array_2d.array_2d_native_from(
array_2d_slim=solution,
mask_2d=np.full(fill_value=False, shape=(3, 4)),
sub_size=1,
)
assert (recon_pix.native == recon_pix_util).all()
assert recon_pix.shape_native == (3, 4)
def test__sub_to_pix__3x3_grid_of_pixel_grid___shift_coordinates_to_new_centre__centre_adjusts_based_on_grid(
self, ):
# _ _ _
# I_I_I_I Boundaries for pixels x = 0 and y = 0 -1.0 to -(1/3)
# I_I_I_I Boundaries for pixels x = 1 and y = 1 - (1/3) to (1/3)
# I_I_I_I Boundaries for pixels x = 2 and y = 2 - (1/3)" to 1.0"
grid = aa.Grid2D.manual_slim(
[
[2.0, 0.0],
[2.0, 1.0],
[2.0, 2.0],
[1.0, 0.0],
[1.0, 1.0],
[1.0, 2.0],
[0.0, 0.0],
[0.0, 1.0],
[0.0, 2.0],
],
pixel_scales=1.0,
shape_native=(3, 3),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 2, 3, 4, 5, 6, 7, 8])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[2],
[3],
[4],
[5],
[6],
[7],
[8],
]
def test__sub_to_pix__3x3_grid_of_pixel_grid__add_multiple_grid_to_1_pixel(
self):
# _ _ _
# -1.0 to -(1/3) I_I_I_I
# -(1/3) to (1/3) I_I_I_I
# (1/3) to 1.0 I_I_I_I
grid = aa.Grid2D.manual_slim(
[
[1.0, -1.0],
[0.0, 0.0],
[1.0, 1.0],
[0.0, 0.0],
[0.0, 0.0],
[0.0, 0.0],
[-1.0, -1.0],
[0.0, 0.0],
[-1.0, 1.0],
],
pixel_scales=1.0,
shape_native=(3, 3),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 4, 2, 4, 4, 4, 6, 4, 8])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[],
[2],
[],
[1, 3, 4, 5, 7],
[],
[6],
[],
[8],
]
def test__image_from_source__different_types_of_lists_input(
self, sub_grid_2d_7x7):
rectangular_pixelization_grid = aa.Grid2DRectangular.overlay_grid(
grid=sub_grid_2d_7x7, shape_native=(3, 3))
rectangular_mapper = aa.Mapper(
source_grid_slim=sub_grid_2d_7x7,
source_pixelization_grid=rectangular_pixelization_grid,
)
full_indexes = rectangular_mapper.slim_indexes_from_pixelization_indexes(
pixelization_indexes=[0, 1])
assert full_indexes == [0, 1, 2, 3, 4, 5, 6, 7]
full_indexes = rectangular_mapper.slim_indexes_from_pixelization_indexes(
pixelization_indexes=[[0], [4]])
assert full_indexes == [[0, 1, 2, 3], [16, 17, 18, 19]]
def test__sub_to_pix__different_image_and_sub_grids(self):
# _ _ _
# -1.0 to -(1/3) I_I_I_I
# -(1/3) to (1/3) I_I_I_I
# (1/3) to 1.0 I_I_I_I
grid = aa.Grid2D.manual_slim(
[
[1.0, -1.0],
[1.0, 0.0],
[1.0, 1.0],
[0.0, -1.0],
[0.0, 0.0],
[0.0, 1.0],
[-1.0, -1.0],
[-1.0, 0.0],
[-1.0, 1.0],
],
pixel_scales=1.0,
shape_native=(3, 3),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 2, 3, 4, 5, 6, 7, 8])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[2],
[3],
[4],
[5],
[6],
[7],
[8],
]
def test__pixel_scales___for_voronoi_mapper(self, grid_2d_7x7, image_7x7):
pixelization_grid = aa.Grid2D.manual_slim(
[[0.1, 0.1], [1.1, 0.1], [2.1, 0.1], [0.1, 1.1], [1.1, 1.1],
[2.1, 1.1]],
shape_native=(3, 2),
pixel_scales=1.0,
)
nearest_pixelization_index_for_slim_index = np.array(
[0, 0, 1, 0, 0, 1, 2, 2, 3])
pixelization_grid = aa.Grid2DVoronoi(
grid=pixelization_grid,
nearest_pixelization_index_for_slim_index=
nearest_pixelization_index_for_slim_index,
)
mapper = aa.Mapper(
source_grid_slim=grid_2d_7x7,
source_pixelization_grid=pixelization_grid,
hyper_data=image_7x7,
)
pixel_signals = mapper.pixel_signals_from_signal_scale(
signal_scale=2.0)
pixel_signals_util = aa.util.mapper.adaptive_pixel_signals_from(
pixels=6,
signal_scale=2.0,
pixelization_index_for_sub_slim_index=mapper.
pixelization_index_for_sub_slim_index,
slim_index_for_sub_slim_index=grid_2d_7x7.mask.
_slim_index_for_sub_slim_index,
hyper_image=image_7x7,
)
assert (pixel_signals == pixel_signals_util).all()
def test__sub_to_pix__4x3_grid__non_symmetric_centre_shift(self):
# _ _ _
# I_I_I_I
# I_I_I_I
# I_I_I_I
# I_I_I_I
grid = aa.Grid2D.manual_slim(
[[3.0, -0.5], [3.0, 0.51], [2.49, -0.5], [1.4, 1.0], [1.0, 2.5]],
pixel_scales=1.0,
shape_native=(5, 1),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(4,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 3, 10, 11])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[],
[2],
[],
[],
[],
[],
[],
[],
[3],
[4],
]
def test__sub_to_pix__various_grids__1_coordinate_per_square_pixel__in_centre_of_pixels(
self, ):
# _ _ _
# I_I_I_I Boundaries for pixels x = 0 and y = 0 -1.0 to -(1/3)
# I_I_I_I Boundaries for pixels x = 1 and y = 1 - (1/3) to (1/3)
# I_I_I_I Boundaries for pixels x = 2 and y = 2 - (1/3)" to 1.0"
grid = aa.Grid2D.manual_slim(
[
[1.0, -1.0],
[1.0, 0.0],
[1.0, 1.0],
[0.0, -1.0],
[0.0, 0.0],
[0.0, 1.0],
[-1.0, -1.0],
[-1.0, 0.0],
[-1.0, 1.0],
],
pixel_scales=1.0,
shape_native=(3, 3),
)
pixelization_grid = aa.Grid2DRectangular(grid=np.ones((2, 2)),
shape_native=(3, 3),
pixel_scales=(1.0, 1.0))
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 2, 3, 4, 5, 6, 7, 8])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[2],
[3],
[4],
[5],
[6],
[7],
[8],
]
# _ _ _
# I_I_I_I Boundaries for pixels x = 0 and y = 0 -1.0 to -(1/3)
# I_I_I_I Boundaries for pixels x = 1 and y = 1 - (1/3) to (1/3)
# I_I_I_I Boundaries for pixels x = 2 and y = 2 - (1/3)" to 1.0"
grid = aa.Grid2D.manual_slim(
[
[1.0, -1.0],
[1.0, 0.0],
[1.0, 1.0],
[-0.32, -1.0],
[-0.32, 0.32],
[0.0, 1.0],
[-0.34, -0.34],
[-0.34, 0.325],
[-1.0, 1.0],
],
pixel_scales=1.0,
shape_native=(3, 3),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 2, 3, 4, 5, 6, 7, 8])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[2],
[3],
[4],
[5],
[6],
[7],
[8],
]
def test__sub_to_pix__various_grids__change_scaledond_dimensions__not_symmetric(
self, ):
# _ _ _
# I_I_I_I Boundaries for pixels x = 0 and y = 0 -1.5 to -0.5
# I_I_I_I Boundaries for pixels x = 1 and y = 1 -0.5 to 0.5
# I_I_I_I Boundaries for pixels x = 2 and y = 2 0.5 to 1.5
grid = aa.Grid2D.manual_slim(
[[1.0, -1.5], [1.0, -0.49], [0.32, -1.5], [0.32, 0.51],
[-1.0, 1.5]],
pixel_scales=1.0,
shape_native=(5, 1),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 3, 5, 8])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[],
[2],
[],
[3],
[],
[],
[4],
]
# _ _ _
# I_I_I_I
# I_I_I_I
# I_I_I_I
# I_I_I_I
grid = aa.Grid2D.manual_slim(
[[1.0, -1.5], [1.0, -0.49], [0.49, -1.5], [-0.6, 0.0], [-1.0, 1.5]
],
pixel_scales=1.0,
shape_native=(5, 1),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(4,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 3, 10, 11])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[],
[2],
[],
[],
[],
[],
[],
[],
[3],
[4],
]
# _ _ _ _
# I_I_I_I_I
# I_I_I_I_I
# I_I_I_I_I
grid = aa.Grid2D.manual_slim(
[[1.0, -1.5], [1.0, -0.49], [0.32, -1.5], [-0.34, 0.49],
[-1.0, 1.5]],
pixel_scales=1.0,
shape_native=(5, 1),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
4),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 4, 10, 11])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[],
[],
[2],
[],
[],
[],
[],
[],
[3],
[4],
]
def test__sub_to_pix__various_grids__1_coordinate_in_each_pixel(self):
# _ _ _
# I_I_I_I
# I_I_I_I
# I_I_I_I
# I_I_I_I
# Boundaries for column pixel 0 -1.0 to -(1/3)
# Boundaries for column pixel 1 -(1/3) to (1/3)
# Boundaries for column pixel 2 (1/3) to 1.0
# Bounadries for row pixel 0 -1.0 to -0.5
# Bounadries for row pixel 1 -0.5 to 0.0
# Bounadries for row pixel 2 0.0 to 0.5
# Bounadries for row pixel 3 0.5 to 1.0
grid = aa.Grid2D.manual_slim(
[
[1.0, -1.0],
[1.0, 0.0],
[1.0, 1.0],
[0.5, -1.0],
[-0.5, 1.0],
[-1.0, 1.0],
],
pixel_scales=1.0,
shape_native=(3, 2),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(4,
3),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 2, 3, 8, 11])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[2],
[3],
[],
[],
[],
[],
[4],
[],
[],
[5],
]
# _ _ _ _
# I_I_I_I_I
# I_I_I_I_I
# I_I_I_I_I
# Boundaries for row pixel 0 -1.0 to -(1/3)
# Boundaries for row pixel 1 -(1/3) to (1/3)
# Boundaries for row pixel 2 (1/3) to 1.0
# Bounadries for column pixel 0 -1.0 to -0.5
# Bounadries for column pixel 1 -0.5 to 0.0
# Bounadries for column pixel 2 0.0 to 0.5
# Bounadries for column pixel 3 0.5 to 1.0
grid = aa.Grid2D.manual_slim(
[
[1.0, -1.0],
[1.0, -0.49],
[1.0, 0.01],
[0.32, 0.01],
[-0.34, -0.01],
[-1.0, 1.0],
],
pixel_scales=1.0,
shape_native=(2, 3),
)
pixelization_grid = aa.Grid2DRectangular.overlay_grid(shape_native=(3,
4),
grid=grid)
mapper = aa.Mapper(source_grid_slim=grid,
source_pixelization_grid=pixelization_grid)
assert (mapper.pixelization_index_for_sub_slim_index == np.array(
[0, 1, 2, 6, 9, 11])).all()
assert mapper.all_sub_slim_indexes_for_pixelization_index == [
[0],
[1],
[2],
[],
[],
[],
[3],
[],
[],
[4],
[],
[5],
]
