def parallel_init(model_copy):
'''parallel_init(model_copy) --> None
parallel initilization of a pool of processes. The function takes a
pickle safe copy of the model and resets the script module and the compiles
the script and creates function to set the variables.
'''
global model, par_funcs
model = model_copy
model._reset_module()
model.simulate()
(par_funcs, start_guess, par_min, par_max) = model.get_fit_pars()
def connect_model(self, model):
'''connect_model(self, model) --> None
Connects the model [model] to this object. Retrives the function
that sets the variables and stores a reference to the model.
'''
# Retrive parameters from the model
(par_funcs, start_guess, par_min, par_max) = model.get_fit_pars()
# Control parameter setup
self.par_min = array(par_min)
self.par_max = array(par_max)
self.par_funcs = par_funcs
self.model = model
self.n_dim = len(par_funcs)
if not self.setup_ok:
self.start_guess = start_guess
