def test__visualize_fit_interferometer__uses_configs(
self,
masked_interferometer_7,
masked_interferometer_fit_x2_plane_inversion_7x7,
include_2d_all,
plot_path,
plot_patch,
):
visualizer = vis.Visualizer(visualize_path=plot_path)
visualizer.visualize_fit_interferometer(
fit=masked_interferometer_fit_x2_plane_inversion_7x7,
during_analysis=True)
plot_path = path.join(plot_path, "fit_interferometer")
assert (path.join(plot_path, "subplot_fit_interferometer.png")
in plot_patch.paths)
assert path.join(plot_path, "visibilities.png") in plot_patch.paths
assert path.join(plot_path, "noise_map.png") not in plot_patch.paths
assert path.join(plot_path,
"signal_to_noise_map.png") not in plot_patch.paths
assert path.join(plot_path,
"model_visibilities.png") in plot_patch.paths
assert (path.join(plot_path, "real_residual_map_vs_uv_distances.png")
not in plot_patch.paths)
assert (path.join(plot_path,
"real_normalized_residual_map_vs_uv_distances.png")
in plot_patch.paths)
assert (path.join(plot_path,
"real_chi_squared_map_vs_uv_distances.png")
in plot_patch.paths)
def save_stochastic_outputs(self, paths: af.Paths,
samples: af.OptimizerSamples):
stochastic_log_evidences_json_file = path.join(
paths.output_path, "stochastic_log_evidences.json")
stochastic_log_evidences_pickle_file = path.join(
paths.pickle_path, "stochastic_log_evidences.pickle")
try:
with open(stochastic_log_evidences_json_file, "r") as f:
stochastic_log_evidences = np.asarray(json.load(f))
except FileNotFoundError:
instance = samples.max_log_likelihood_instance
stochastic_log_evidences = self.stochastic_log_evidences_for_instance(
instance=instance)
if stochastic_log_evidences is None:
return
with open(stochastic_log_evidences_json_file, "w") as outfile:
json.dump(
[float(evidence) for evidence in stochastic_log_evidences],
outfile)
with open(stochastic_log_evidences_pickle_file, "wb") as f:
pickle.dump(stochastic_log_evidences, f)
visualizer = vis.Visualizer(visualize_path=paths.image_path)
visualizer.visualize_stochastic_histogram(
log_evidences=stochastic_log_evidences,
max_log_evidence=np.max(samples.log_likelihoods),
histogram_bins=self.settings.settings_lens.
stochastic_histogram_bins,
)
def test__visualize_stochastic_histogram(self, masked_imaging_7x7,
plot_path, plot_patch):
visualizer = vis.Visualizer(visualize_path=plot_path)
visualizer.visualize_stochastic_histogram(
log_evidences=[1.0, 2.0, 1.0, 2.0, 3.0, 2.5], max_log_evidence=3.0)
assert (path.join(plot_path, "other", "stochastic_histogram.png")
in plot_patch.paths)
def test__visualizes_fit_imaging__uses_configs(
self,
masked_imaging_7x7,
masked_imaging_fit_x2_plane_inversion_7x7,
include_2d_all,
plot_path,
plot_patch,
):
if os.path.exists(plot_path):
shutil.rmtree(plot_path)
visualizer = vis.Visualizer(visualize_path=plot_path)
visualizer.visualize_fit_imaging(
fit=masked_imaging_fit_x2_plane_inversion_7x7,
during_analysis=False)
plot_path = path.join(plot_path, "fit_imaging")
assert path.join(plot_path,
"subplot_fit_imaging.png") in plot_patch.paths
assert path.join(plot_path, "image.png") in plot_patch.paths
assert path.join(plot_path, "noise_map.png") not in plot_patch.paths
assert path.join(plot_path,
"signal_to_noise_map.png") not in plot_patch.paths
assert path.join(plot_path, "model_image.png") in plot_patch.paths
assert path.join(plot_path, "residual_map.png") not in plot_patch.paths
assert path.join(plot_path,
"normalized_residual_map.png") in plot_patch.paths
assert path.join(plot_path, "chi_squared_map.png") in plot_patch.paths
assert (path.join(plot_path, "subtracted_image_of_plane_0.png")
in plot_patch.paths)
assert (path.join(plot_path, "subtracted_image_of_plane_1.png")
in plot_patch.paths)
assert (path.join(plot_path, "model_image_of_plane_0.png")
not in plot_patch.paths)
assert (path.join(plot_path, "model_image_of_plane_1.png")
not in plot_patch.paths)
assert path.join(plot_path,
"plane_image_of_plane_0.png") in plot_patch.paths
assert path.join(plot_path, "reconstruction.png") in plot_patch.paths
image = al.util.array.numpy_array_2d_from_fits(file_path=path.join(
plot_path, "fits", "image.fits"),
hdu=0)
assert image.shape == (5, 5)
def visualize(self, paths: af.Paths, instance, during_analysis):
instance = self.associate_hyper_images(instance=instance)
tracer = self.tracer_for_instance(instance=instance)
hyper_image_sky = self.hyper_image_sky_for_instance(instance=instance)
hyper_background_noise = self.hyper_background_noise_for_instance(
instance=instance
)
fit = self.masked_imaging_fit_for_tracer(
tracer=tracer,
hyper_image_sky=hyper_image_sky,
hyper_background_noise=hyper_background_noise,
)
visualizer = vis.Visualizer(visualize_path=paths.image_path)
visualizer.visualize_imaging(imaging=self.masked_imaging.imaging)
visualizer.visualize_fit_imaging(fit=fit, during_analysis=during_analysis)
visualizer.visualize_tracer(
tracer=fit.tracer, grid=fit.grid, during_analysis=during_analysis
)
if fit.inversion is not None:
visualizer.visualize_inversion(
inversion=fit.inversion, during_analysis=during_analysis
)
visualizer.visualize_hyper_images(
hyper_galaxy_image_path_dict=self.hyper_galaxy_image_path_dict,
hyper_model_image=self.hyper_model_image,
tracer=tracer,
)
if visualizer.plot_fit_no_hyper:
fit = self.masked_imaging_fit_for_tracer(
tracer=tracer,
hyper_image_sky=None,
hyper_background_noise=None,
use_hyper_scalings=False,
)
visualizer.visualize_fit_imaging(
fit=fit, during_analysis=during_analysis, subfolders="fit_no_hyper"
)
def test__visualizes_ray_tracing__uses_configs(
self,
masked_imaging_7x7,
tracer_x2_plane_7x7,
include_2d_all,
plot_path,
plot_patch,
):
if os.path.exists(plot_path):
shutil.rmtree(plot_path)
visualizer = vis.Visualizer(visualize_path=plot_path)
visualizer.visualize_tracer(
tracer=tracer_x2_plane_7x7,
grid=masked_imaging_7x7.grid,
during_analysis=False,
)
plot_path = path.join(plot_path, "ray_tracing")
assert path.join(plot_path, "subplot_tracer.png") in plot_patch.paths
assert path.join(plot_path, "image.png") in plot_patch.paths
assert path.join(plot_path,
"plane_image_of_plane_1.png") in plot_patch.paths
assert path.join(plot_path, "convergence.png") in plot_patch.paths
assert path.join(plot_path, "potential.png") not in plot_patch.paths
assert path.join(plot_path,
"deflections_y.png") not in plot_patch.paths
assert path.join(plot_path,
"deflections_x.png") not in plot_patch.paths
assert path.join(plot_path, "magnification.png") in plot_patch.paths
convergence = al.util.array.numpy_array_2d_from_fits(
file_path=path.join(plot_path, "fits", "convergence.fits"), hdu=0)
assert convergence.shape == (5, 5)
def visualize(self, paths, instance, during_analysis):
tracer = self.tracer_for_instance(instance=instance)
visualizer = vis.Visualizer(visualize_path=paths.image_path)
