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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def simulate(self, timepoints):
 """ Simulate initialised solver for the specified timepoints :param timepoints: timepoints that will be returned from simulation :return: a list of trajectories for each of the equations in the problem. """

        solver = self._solver
        last_timepoint = timepoints[-1]
        try:
            simulated_timepoints, simulated_values = solver.simulate(last_timepoint, ncp_list=timepoints)

        except (Exception, self._solver_exception_class) as e:
            # The exceptions thrown by solvers are usually hiding the real cause, try to see if it is
            # our right_hand_side_as_function that is broken first
            try:
                self._problem.right_hand_side_as_function(self._initial_conditions, self._parameters)
            except:
                # If it is broken, throw that exception instead
                raise
            else:
                # If it is not, handle the original exception
                self._handle_solver_exception(e)

        trajectories =  self._results_to_trajectories(simulated_timepoints, simulated_values)

        return trajectories