def next_iteration(self):
"""
Updates the iteration count on the relevant element of the Jones chain. It will also handle
updating the active Jones term. Ultimately, this should handle any complicated
convergence/term switching functionality.
"""
self.last_active_index = self.active_index
major_step = False
if self.active_term.has_converged or self.active_term.has_stalled:
print("term {} {} ({} iters): {}".format(
self.active_term.jones_label,
"converged" if self.active_term.has_converged else "stalled",
self.active_term.iters,
self.active_term.final_convergence_status_string),
file=log(1))
self._convergence_states.append(
self.active_term.final_convergence_status_string)
self._convergence_states_finalized = True
self._next_chain_term()
major_step = True
self.active_term.next_iteration()
return MasterMachine.next_iteration(self)[0], major_step
def next_iteration(self):
np.copyto(self.old_gains, self.gains)
return MasterMachine.next_iteration(self)