import autofit as af
import autolens as al
from test_autolens.integration.tests.imaging import runner

test_type = "lens__source_inversion"
test_name = "lens_both__source_adaptive_magnification"
data_name = "lens_sie__source_smooth"
instrument = "vro"


def make_pipeline(name, folders, search=af.DynestyStatic()):

    mass = af.PriorModel(al.mp.EllipticalIsothermal)

    mass.centre.centre_0 = 0.0
    mass.centre.centre_1 = 0.0
    mass.einstein_radius = 1.6

    pixelization = af.PriorModel(al.pix.VoronoiMagnification)

    pixelization.shape_0 = 20.0
    pixelization.shape_1 = 20.0

    phase1 = al.PhaseImaging(
        phase_name="phase_1",
        folders=folders,
        galaxies=dict(
            lens=al.GalaxyModel(
                redshift=0.5, bulge=al.lp.SphericalDevVaucouleurs, mass=mass
            ),
            source=al.GalaxyModel(
                redshift=1.0, pixelization=pixelization, regularization=al.reg.Constant
            ),
        ),
        search=search,
    )

    phase1.search.const_efficiency_mode = True
    phase1.search.n_live_points = 60
    phase1.search.facc = 0.8

    return al.PipelineDataset(name, phase1)


if __name__ == "__main__":
    import sys

    runner.run(sys.modules[__name__])
