James Nightingale

@rhayes777 Any advise for how I should build this into example scripts to ensure it doesnt crop up again? Would be annoying to have extra lines of code (e.g. `if...

@rhayes777 I think we need to stress-test parallelization of multiple PYthon versions (3.6 -> 3.9) and for different numpy / numba versions. I suspect this issue hasnt cropped up before...

They are on `numpy==1.21.5`, and I think numpy threading could be the cause of this (Albeit it could be a separate issue with multiprocessing + dynesty).

Also on Linux (windows subsystem for linux techncially)

> The type instance is saved as a string rather than a callable to the function (same for individual mass/light profiles) Digging deep into the code, I think this is...

> If a parameter is drawn from a numpy array (e.g. when randomising and drawing), the dict returns the type rather than the value of the parameter. I didn't clock...

I have put up the following PR which will allow the following API to work: https://github.com/rhayes777/PyAutoConf/pull/18 ``` tracer.output_to_json(file_path=json_file) tracer_from_json = al.Tracer.from_json(file_path=json_file) ``` ``` galaxy.output_to_json(file_path=json_file) galaxy_from_json = al.Galaxy.from_json(file_path=json_file) ```

The PR didnt seem to fix this or lead to another issue: https://github.com/Jammy2211/PyAutoLens/actions/runs/2685051806

Just got it 250000 samples into a CubeSliceSampler

I got the error with nsteps=100, but runs with 200 and 300 seem to be going ok so far. Its probably worth me motivating why we are keen to have...