Slam pipeline chaining using mass_total tracer; PowerLaw not working with chaining_util about pyautolens HOT 2 CLOSED

The problem (for this bug and the previous) is that these things:

    mass_0=tracer.planes[0].galaxies[0].mass,
    mass_1=tracer.planes[0].galaxies[1].mass,
    shear=tracer.planes[0].galaxies[0].shear,

Are not af.Model objects but just instances of the PowerLaw and ExternalShear class.

SLaM are modeling pipelines so expect that everything will be PyAutoFit objects.

I think you want to do something like:

mass_0_model = af.Model(al.mp.PowerLaw)
mass_0_model.centre = mass_0.centre
... repeat for all parameters (ell comps, einstein_radius, slope) and for mass_1 and shear

from pyautolens.

Thank you for the fix. It started the source_pix pipeline without issue.

The problem (for this bug and the previous) is that these things:

Regarding the previous problem: not using positions=positions in positions_likelihood=source_lp_results.last.positions_likelihood_from() did return the same error as in 270, even with your suggestion above.

from pyautolens.