def simulate_static(self, steps, time, pattern, solution = solve_type.FAST, collect_dynamic = False):
"""!
@brief Performs static simulation of syncpr oscillatory network.
@details In other words network performs pattern recognition during simulation.
@param[in] steps (uint): Number steps of simulations during simulation.
@param[in] time (double): Time of simulation.
@param[in] pattern (list): Pattern for recognition represented by list of features that are equal to [-1; 1].
@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()
"""
self.__validate_pattern(pattern);
if (self._ccore_network_pointer is not None):
ccore_instance_dynamic = wrapper.syncpr_simulate_static(self._ccore_network_pointer, steps, time, pattern, solution, collect_dynamic);
return syncpr_dynamic(None, None, ccore_instance_dynamic);
for i in range(0, len(pattern), 1):
if (pattern[i] > 0.0):
self._phases[i] = 0.0;
else:
self._phases[i] = math.pi / 2.0;
return super().simulate_static(steps, time, solution, collect_dynamic);
def simulate_static(self, steps, time, pattern, solution = solve_type.FAST, collect_dynamic = False):
"""!
@brief Performs static simulation of syncpr oscillatory network.
@details In other words network performs pattern recognition during simulation.
@param[in] steps (uint): Number steps of simulations during simulation.
@param[in] time (double): Time of simulation.
@param[in] pattern (list): Pattern for recognition represented by list of features that are equal to [-1; 1].
@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()
"""
self.__validate_pattern(pattern);
if (self._ccore_network_pointer is not None):
ccore_instance_dynamic = wrapper.syncpr_simulate_static(self._ccore_network_pointer, steps, time, pattern, solution, collect_dynamic);
return syncpr_dynamic(None, None, ccore_instance_dynamic);
for i in range(0, len(pattern), 1):
if (pattern[i] > 0.0):
self._phases[i] = 0.0;
else:
self._phases[i] = math.pi / 2.0;
return super().simulate_static(steps, time, solution, collect_dynamic);