Jesús Torrado

Wouldn't it make the code simpler to just add a `component: "s"|"t"|"st"(or None, default)` to the likelihood requirement and a similar `component` kwarg to `get_lensed|unlensed_cl`? It would save us quite...

Hi Vivian, Derived parameters do not have priors as such: `max` and `min` are just limits passed to GetDist for plotting and computing c.l. intervals. If you want to impose...

Another alternative: add the following likelihood (likelihoods are evaluated *after* the theory code) omb: "lambda _theory={'omegam': None}: np.log(0

Hi Vivian, In order to have them evaluated before the theory code, Cobaya needs to know how to extract them from the input and sampled parameters. To do that, you...

Seems to be known and solved in the next org release: https://orgmode.org/list/[email protected]/

The code duplication is there in order not to need to have Cobaya installed to read chains with GetDist. I don't think it will be cured by adding more stuff...

NB, as a reminder for myself: when we add the metadata, we should load the temperature from it, as opposed to from the samples as it is done right now.

Hi @mraveri Seems doable, and an option for a warning seems reasonable. I'll take a look during next week. About the second one, which sampling options in particular and for...

Hi @ggalloni, It's a recursion error produced by pickling while in the IPP cluster. You can try if the one-line change to `log.py` solves if in your case.

Thanks for the report! I'd swear I tested it thoroughly with 3.9 and 3.11, including the -h command. But obviously not... Will fix soon. Is your test above for 3.9?