def __init__(self, masked_imaging, hyper_model_image, hyper_galaxy_image,
image_path):
"""
An analysis to fit the noise for a single galaxy image.
Parameters
----------
masked_imaging: LensData
lens dataset, including an image and noise
hyper_model_image: ndarray
An image produce of the overall system by a model
hyper_galaxy_image: ndarray
The contribution of one galaxy to the model image
"""
self.masked_imaging = masked_imaging
self.visualizer = visualizer.HyperGalaxyVisualizer(
image_path=image_path)
self.hyper_model_image = hyper_model_image
self.hyper_galaxy_image = hyper_galaxy_image
def test__hyper_fit__images_for_phase__source_and_lens__depedent_on_input(
self,
masked_imaging_fit_x2_plane_7x7,
hyper_galaxy_image_0_7x7,
include_all,
plot_path,
plot_patch,
):
visualizer = vis.HyperGalaxyVisualizer(image_path=plot_path)
visualizer = visualizer.new_visualizer_with_preloaded_critical_curves_and_caustics(
preloaded_critical_curves=include_all.preloaded_critical_curves,
preloaded_caustics=include_all.preloaded_caustics,
)
visualizer.visualize_hyper_galaxy(
fit=masked_imaging_fit_x2_plane_7x7,
hyper_fit=masked_imaging_fit_x2_plane_7x7,
galaxy_image=hyper_galaxy_image_0_7x7,
contribution_map_in=hyper_galaxy_image_0_7x7,
)
assert plot_path + "subplots/subplot_fit_hyper_galaxy.png" in plot_patch.paths