Function with excessive arguments - Python -

,i creating genetic fuzzy learning system , it's corresponding training simulation environment-> collection of functions , classes controlled master script user defines such things as: simulation scenario, controller characteristics, etc.

the result 50 different numpy arrays , lists arguments particular problem. these arguments must given controller generating functions(s), , simulation determines effectiveness of each controller. process using multiprocess.starmap_async method parallelize fitness of each controller. master script calls controller generation 50 arguments, multiprocess calls it's workers 55 processes, , workers call simulation files 57 inputs. (it current understanding using many input arguments multiprocesses not increase overhead names pointing data, rather copying or re-initializing it... if wrong please let me know!)

i understand can replace 50 arguments 1 list contains of arguments, , utilize global variables in master script avoid having of book-keeping. lot of these variables not change, large data structures don't want calculate more once. there other approaches, , 1 considered acceptable? wish avoid having 10 lines of args every call of in project.

be brutal need be, runs perfectly, simulations going more , more complex, number of (non-optional) arguments growing. i've removed of more specific var names, here call main script runs:

    (opt_str,opt_fit) = trainer(map_size,targets,sams,sams_stat,ais,ais_stat,                           b_mpammo,b_sdammo,route,vel,b_range,a_range, s_range,b_flight,                           a_flight, s_flight,... lots more) 

inside ga have:

        step = np.int8(pop_size/8)         pol = pool(processes=8)          res = pol.starmap_async(simworker, ((i, i+step, map_size,targets,                                 sams,sams_stat,ais,ais_stat,                                 b_mpammo,b_sdammo,route,vel,b_range,                                 a_range,s_range,b_flight,                                 a_flight, s_flight,fitness,                                 ttr,ttb,ttcr,ttcb,pos,times,pop,... lots more args) in range(0, pop_size, step))) 

and simworker:

for p in range(start, stop):     fitness[p] = sim_t(map_size,targets,sams,sams_stat,ais,ais_stat,                             b_mpammo,b_sdammo,route,vel,b_range,a_range,s_range,b_flight,                             a_flight, s_flight,                             ttr,ttb,ttcr,ttcb,pos,times,pop[p],... lots more) 

if use keyword arguments, aka **kwargs can pass in many need, , not require ones don't need. function can check , take ones wants.

alternatively, create object (i suggest class) represents state, , build , pass function.