pyclustering/nnet/sync.py
def simulate_static(self, steps, time, solution = solve_type.FAST, collect_dynamic = False):
        """!
        @brief Performs static simulation of oscillatory network.
        
        @param[in] steps (uint): Number steps of simulations during simulation.
        @param[in] time (double): Time of simulation.
        @param[in] solution (solve_type): Type of solution.
        @param[in] collect_dynamic (bool): If True - returns whole dynamic of oscillatory network, otherwise returns only last values of dynamics.
        
        @return (list) Dynamic of oscillatory network. If argument 'collect_dynamic' = True, than return dynamic for the whole simulation time,
                otherwise returns only last values (last step of simulation) of dynamic.
        
        @see simulate()
        @see simulate_dynamic()
        
        """
        
        if (self._ccore_network_pointer is not None):
            ccore_instance_dynamic = wrapper.sync_simulate_static(self._ccore_network_pointer, steps, time, solution, collect_dynamic);
            return sync_dynamic(None, None, ccore_instance_dynamic);
        
        dyn_phase = [];
        dyn_time = [];
        
        if (collect_dynamic == True):
            dyn_phase.append(self._phases);
            dyn_time.append(0);
        
        step = time / steps;
        int_step = step / 10.0;
        
        for t in numpy.arange(step, time + step, step):
            # update states of oscillators
            self._phases = self._calculate_phases(solution, t, step, int_step);
            
            # update states of oscillators
            if (collect_dynamic == True):
                dyn_phase.append(self._phases);
                dyn_time.append(t);
        
        if (collect_dynamic != True):
            dyn_phase.append(self._phases);
            dyn_time.append(time);
                        
        output_sync_dynamic = sync_dynamic(dyn_phase, dyn_time);
        return output_sync_dynamic;
def simulate_static(self, steps, time, solution = solve_type.FAST, collect_dynamic = False):
        """!
        @brief Performs static simulation of oscillatory network.
        
        @param[in] steps (uint): Number steps of simulations during simulation.
        @param[in] time (double): Time of simulation.
        @param[in] solution (solve_type): Type of solution.
        @param[in] collect_dynamic (bool): If True - returns whole dynamic of oscillatory network, otherwise returns only last values of dynamics.
        
        @return (list) Dynamic of oscillatory network. If argument 'collect_dynamic' = True, than return dynamic for the whole simulation time,
                otherwise returns only last values (last step of simulation) of dynamic.
        
        @see simulate()
        @see simulate_dynamic()
        
        """
        
        if (self._ccore_network_pointer is not None):
            ccore_instance_dynamic = wrapper.sync_simulate_static(self._ccore_network_pointer, steps, time, solution, collect_dynamic);
            return sync_dynamic(None, None, ccore_instance_dynamic);
        
        dyn_phase = [];
        dyn_time = [];
        
        if (collect_dynamic == True):
            dyn_phase.append(self._phases);
            dyn_time.append(0);
        
        step = time / steps;
        int_step = step / 10.0;
        
        for t in numpy.arange(step, time + step, step):
            # update states of oscillators
            self._phases = self._calculate_phases(solution, t, step, int_step);
            
            # update states of oscillators
            if (collect_dynamic == True):
                dyn_phase.append(self._phases);
                dyn_time.append(t);
        
        if (collect_dynamic != True):
            dyn_phase.append(self._phases);
            dyn_time.append(time);
                        
        output_sync_dynamic = sync_dynamic(dyn_phase, dyn_time);
        return output_sync_dynamic;
def simulate_static ( self , steps , time , solution = solve_type . FAST , collect_dynamic = False ) : if ( self . _ccore_network_pointer is not None ) : ccore_instance_dynamic = wrapper . sync_simulate_static ( self . _ccore_network_pointer , steps , time , solution , collect_dynamic ) return sync_dynamic ( None , None , ccore_instance_dynamic ) dyn_phase = [ ] dyn_time = [ ] if ( collect_dynamic == True ) : dyn_phase . append ( self . _phases ) dyn_time . append ( 0 ) step = time / steps int_step = step / 10.0 for t in numpy . arange ( step , time + step , step ) : # update states of oscillators
 self . _phases = self . _calculate_phases ( solution , t , step , int_step ) # update states of oscillators
 if ( collect_dynamic == True ) : dyn_phase . append ( self . _phases ) dyn_time . append ( t ) if ( collect_dynamic != True ) : dyn_phase . append ( self . _phases ) dyn_time . append ( time ) output_sync_dynamic = sync_dynamic ( dyn_phase , dyn_time ) return output_sync_dynamic
!
        @brief Performs static simulation of oscillatory network.
        
        @param[in] steps (uint): Number steps of simulations during simulation.
        @param[in] time (double): Time of simulation.
        @param[in] solution (solve_type): Type of solution.
        @param[in] collect_dynamic (bool): If True - returns whole dynamic of oscillatory network, otherwise returns only last values of dynamics.
        
        @return (list) Dynamic of oscillatory network. If argument 'collect_dynamic' = True, than return dynamic for the whole simulation time,
                otherwise returns only last values (last step of simulation) of dynamic.
        
        @see simulate()
        @see simulate_dynamic()
!