def test__loads_from_config_file_correct(self):
zeus = af.Zeus(
prior_passer=af.PriorPasser(sigma=2.0,
use_errors=False,
use_widths=False),
nwalkers=51,
nsteps=2001,
initializer=af.InitializerBall(lower_limit=0.2, upper_limit=0.8),
auto_correlations_settings=af.AutoCorrelationsSettings(
check_for_convergence=False,
check_size=101,
required_length=51,
change_threshold=0.02),
tune=False,
number_of_cores=2,
)
assert zeus.prior_passer.sigma == 2.0
assert zeus.prior_passer.use_errors is False
assert zeus.prior_passer.use_widths is False
assert zeus.config_dict_search["nwalkers"] == 51
assert zeus.config_dict_run["nsteps"] == 2001
assert zeus.config_dict_run["tune"] == False
assert isinstance(zeus.initializer, af.InitializerBall)
assert zeus.initializer.lower_limit == 0.2
assert zeus.initializer.upper_limit == 0.8
assert zeus.auto_correlations_settings.check_for_convergence is False
assert zeus.auto_correlations_settings.check_size == 101
assert zeus.auto_correlations_settings.required_length == 51
assert zeus.auto_correlations_settings.change_threshold == 0.02
assert zeus.number_of_cores == 2
zeus = af.Zeus()
assert zeus.prior_passer.sigma == 3.0
assert zeus.prior_passer.use_errors is True
assert zeus.prior_passer.use_widths is True
assert zeus.config_dict_search["nwalkers"] == 50
assert zeus.config_dict_run["nsteps"] == 2000
assert zeus.config_dict_run["tune"] == True
assert isinstance(zeus.initializer, af.InitializerPrior)
assert zeus.auto_correlations_settings.check_for_convergence is True
assert zeus.auto_correlations_settings.check_size == 100
assert zeus.auto_correlations_settings.required_length == 50
assert zeus.auto_correlations_settings.change_threshold == 0.01
assert zeus.number_of_cores == 1
"""
__Search__
Below we use zeus to fit the lens model, using the model with start points as described above. See the Zeus docs
for a description of what the input parameters below do.
"""
search = af.Zeus(
path_prefix=path.join("imaging", "searches"),
name="Zeus",
unique_tag=dataset_name,
nwalkers=30,
nsteps=200,
initializer=af.InitializerBall(lower_limit=0.49, upper_limit=0.51),
auto_correlations_settings=af.AutoCorrelationsSettings(
check_for_convergence=True,
check_size=100,
required_length=50,
change_threshold=0.01,
),
tune=False,
tolerance=0.05,
patience=5,
maxsteps=10000,
mu=1.0,
maxiter=10000,
vectorize=False,
check_walkers=True,
shuffle_ensemble=True,
light_mode=False,
iterations_per_update=5000,
number_of_cores=1,
)