[Question] How is Solomonoff induction calculated in practice?

Solomonoff in­duc­tion is gen­er­ally given as the cor­rect way to pe­nal­ise more com­plex hy­pothe­ses when calcu­lat­ing pri­ors. A great in­tro­duc­tion can be found here.

My ques­tion is, how is this ac­tu­ally calcu­lated in prac­tice?

As an ex­am­ple, say I have 2 hy­pothe­ses:

A. The prob­a­bil­ity dis­tri­bu­tion of the out­put is given by the same nor­mal dis­tri­bu­tion for all in­puts, with mean and stan­dard de­vi­a­tion .

B. The prob­a­bil­ity dis­tri­bu­tion of the out­put is given by a nor­mal dis­tri­bu­tion de­pend­ing on an in­put with mean and stan­dard de­vi­a­tion .

It is clear that hy­poth­e­sis B is more com­plex (us­ing an ad­di­tional in­put [], hav­ing an ad­di­tional pa­ram­e­ter [] and re­quiring 2 ad­di­tional op­er­a­tions to calcu­late) but how does one calcu­late the ac­tual penalty that B should be given vs A?