xpressinsight.AppInterface.update

>>> insight.update(Metric.OBJVAL, 51.9)			

>>> def on_gap_notify(prob, app):
...
...     num_sol = prob.attributes.mipsols
...     app.insight.update(xi.Metric.NUMSOLS, num_sol)
...
...     if num_sol == 0:
...         # Can only occur when mipabsgapnotifybound is used.
...         # Don't call gapnotify again.
...         return None, None, None, None
...
...     objective = prob.attributes.mipobjval
...     best_bound = prob.attributes.bestbound
...
...     if best_bound != 0 or objective != 0:
...         gap = abs(objective - best_bound) / \
...               max(abs(best_bound), abs(objective))
...     else:
...         gap = 0
...
...     app.insight.update(xi.Metric.OBJVAL, objective)
...     app.insight.update(xi.Metric.GAP, gap)
...
...     if gap > 1e-6:
...         new_rel_gap_notify_target = gap - 1e-6
...     else:
...         # Don't call gapnotify again.
...         new_rel_gap_notify_target = -1
...
...     return new_rel_gap_notify_target, None, None, None			

>>> prob = xp.problem()
...
... # TODO: Define the optimization problem
...
... # Optionally reset progress and set the objective sense
... self.insight.reset_progress()
... self.insight.update(xi.Metric.OBJSENSE, prob.attributes.objsense)
...
... prob.controls.miprelgapnotify = 1e20
... prob.addcbgapnotify(on_gap_notify, self, 0)
...
... prob.solve()