diffev and model methods

gistfile1.txt

>>> print([m for m in dir(diffev.DiffEv) if m.startswith('set')])
['set_autosave_func', 'set_autosave_interval', 'set_chunksize', 'set_create_trial', 'set_fitting_ended_func', 'set_fom_allowed_dis', 'set_km', 'set_kr', 'set_max_generation_mult', 'set_max_generations', 'set_max_log', 'set_parameter_output_func', 'set_plot_output_func', 'set_pop_mult', 'set_pop_size', 'set_processes', 'set_sleep_time', 'set_text_output_func', 'set_use_autosave', 'set_use_boundaries', 'set_use_max_generations', 'set_use_parallel_processing', 'set_use_pop_mult', 'set_use_start_guess', 'setup_parallel']


>>> print([m for m in dir(model.Model) if m.startswith('')])
['__doc__', '__init__', '__module__', '_read_from_file', '_reset_module', '_save_to_file', 'calc_fom', 'compile_script', 'create_fit_func', 'eval_in_model', 'evaluate_fit_func', 'evaluate_sim_func', 'export_data', 'export_script', 'export_table', 'get_data', 'get_data_as_asciitable', 'get_filename', 'get_fit_pars', 'get_fit_values', 'get_parameters', 'get_possible_parameters', 'get_script', 'get_sim_pars', 'get_table_as_ascii', 'import_script', 'import_table', 'is_compiled', 'load', 'load_addition', 'new_model', 'pickable_copy', 'read_config', 'save', 'save_addition', 'set_fom_func', 'set_script', 'simulate']
>>> 

>>> m.func_code.co_varnames[:m.func_code.co_argcount]

('self',)

do same for model; load defaults from my existing classes

getters/setters -> config dashboard
metaprogram it - repr, docstrincs? and errors?
exception flow upwards

this guy's getter/setter and architecture is a good strenght and we can build on this, it just took bloody ages to understand because it's very monolthic (not split up into smaller manageble parts)

args -> input fields

catch their generic errors? (could)

filename is file else string nomfp lol

inb4 someone starts executing code hehehe

(snapshot and restart from API)