Display constant parameters in model.info about pyautolens HOT 3 CLOSED

Can we get the same behaviour in the mn.results file as well please, e.g.:

Most likely model, Likelihood = -907.8382937977524

lens_galaxies_centre_0 0.19573176832840064
lens_galaxies_centre_1 0.19923901268445918
lens_galaxies_axis_ratio 0.6554272992780258
lens_galaxies_phi 48.864722953151094
lens_galaxies_intensity 4.698431504911321
lens_galaxies_effective_radius 0.7158275361585597
lens_galaxies_sersic_index 1.2836807145327842

Most probable model (3 sigma limits)

lens_galaxies_centre_0 0.19770748860335258 (0.17397608863648606, 0.220682382196918)
lens_galaxies_centre_1 0.1983145124571254 (0.17153659593590487, 0.2222334906305835)
lens_galaxies_axis_ratio 0.6671307764649962 (0.6075911538832601, 0.7272060087355026)
lens_galaxies_phi 49.74572189249093 (42.956474000364324, 56.42109228240668)
lens_galaxies_intensity 4.794916952666867 (4.292129342251902, 5.3771730829055375)
lens_galaxies_effective_radius 0.7114743882138115 (0.6621727780484826, 0.7562486275920406)
lens_galaxies_sersic_index 1.2608646786328517 (1.109042511547221, 1.397308609132132)

Most probable model (1 sigma limits)

lens_galaxies_centre_0 0.19770748860335258 (0.18948284147288397, 0.20616383232816002)
lens_galaxies_centre_1 0.1983145124571254 (0.18989255272462133, 0.20715744737725034)
lens_galaxies_axis_ratio 0.6671307764649962 (0.6469599177419685, 0.6874775870576912)
lens_galaxies_phi 49.74572189249093 (47.52210549978952, 51.95277627369898)
lens_galaxies_intensity 4.794916952666867 (4.593224874165465, 4.968905048457163)
lens_galaxies_effective_radius 0.7114743882138115 (0.6961736250208904, 0.728792195323988)
lens_galaxies_sersic_index 1.2608646786328517 (1.2128538031402123, 1.3135953819633608)

Constant:

SphericalIsothermal

lens_galaxies_centre_0 0.0
lens_galaxies_centre_1 1.0
lens_galaxies_einstein_radius 1.0

from pyautolens.

Think this was working, and is now not working again! :P

from pyautolens.

Check out the integration test constant_floats to see what I mean.

In fact, there is some very weird behaviour going on in this test. Certain parameters appear correctly in model.info, and certain parameters (e.g. axis ratio and effective_radius) are not using the float they're set but the default value in the class constructor instead (EllipticalSersic).

from pyautolens.